/usr/local/lib/python3.7/site-packages/setuptools/depends.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
WARNING 2022-07-26 10:44:12,183 launch.py:423] Not found distinct arguments and compiled with cuda or xpu. Default use collective mode
INFO 2022-07-26 10:44:12,183 launch_utils.py:641] Change selected_gpus into reletive values. --ips:0,1,2,3 will change into relative_ips:[0, 1, 2, 3] according to your CUDA_VISIBLE_DEVICES:['0', '1', '2', '3']
INFO 2022-07-26 10:44:12,185 launch_utils.py:528] Local start 4 processes. First process distributed environment info (Only For Debug): 
    +=======================================================================================+
    |                        Distributed Envs                      Value                    |
    +---------------------------------------------------------------------------------------+
    |                       PADDLE_TRAINER_ID                        0                      |
    |                 PADDLE_CURRENT_ENDPOINT                 127.0.0.1:60001               |
    |                     PADDLE_TRAINERS_NUM                        4                      |
    |                PADDLE_TRAINER_ENDPOINTS  ... 0.1:60002,127.0.0.1:60003,127.0.0.1:60004|
    |                     PADDLE_RANK_IN_NODE                        0                      |
    |                 PADDLE_LOCAL_DEVICE_IDS                        0                      |
    |                 PADDLE_WORLD_DEVICE_IDS                     0,1,2,3                   |
    |                     FLAGS_selected_gpus                        0                      |
    |             FLAGS_selected_accelerators                        0                      |
    +=======================================================================================+

INFO 2022-07-26 10:44:12,185 launch_utils.py:532] details abouts PADDLE_TRAINER_ENDPOINTS can be found in log/endpoints.log, and detail running logs maybe found in log/workerlog.0
-----------  Configuration Arguments -----------
backend: auto
elastic_server: None
force: False
gpus: 0,1,2,3
heter_devices: 
heter_worker_num: None
heter_workers: 
host: None
http_port: None
ips: 127.0.0.1
job_id: None
log_dir: log
np: None
nproc_per_node: None
run_mode: None
scale: 0
server_num: None
servers: 
training_script: tools/train.py
training_script_args: ['-c', 'configs/picodet/picodetv2_npu_s_416_coco.yml', '--eval']
worker_num: None
workers: 
------------------------------------------------
launch train in GPU mode!
launch proc_id:10788 idx:0
launch proc_id:10791 idx:1
launch proc_id:10794 idx:2
launch proc_id:10797 idx:3
/usr/local/lib/python3.7/site-packages/setuptools/depends.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
Warning: import ppdet from source directory without installing, run 'python setup.py install' to install ppdet firstly
server not ready, wait 3 sec to retry...
not ready endpoints:['127.0.0.1:60003']
I0726 10:44:18.165164 10788 nccl_context.cc:74] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0
W0726 10:44:18.838285 10788 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.1
W0726 10:44:18.843362 10788 device_context.cc:465] device: 0, cuDNN Version: 7.6.
loading annotations into memory...
Done (t=20.74s)
creating index...
index created!
[07/26 10:44:51] ppdet.data.source.coco WARNING: Found an invalid bbox in annotations: im_id: 200365, area: 0.0 x1: 296.65, y1: 388.33, x2: 297.67999999999995, y2: 388.33.
[07/26 10:45:08] ppdet.data.source.coco WARNING: Found an invalid bbox in annotations: im_id: 550395, area: 0.0 x1: 9.98, y1: 188.56, x2: 15.52, y2: 188.56.
[07/26 10:45:14] ppdet.utils.download INFO: Downloading PPLCNet_x0_75_pretrained.pdparams from https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x0_75_pretrained.pdparams

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[07/26 10:45:15] ppdet.utils.checkpoint INFO: ['last_conv.weight'] in pretrained weight is not used in the model, and its will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [1000] in pretrained weight fc.bias is unmatched with the shape [96] in model head.conv_feat.se.0.fc.bias. And the weight fc.bias will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [1280, 1000] in pretrained weight fc.weight is unmatched with the shape [96, 96, 1, 1] in model head.conv_feat.se.0.fc.weight. And the weight fc.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [1000] in pretrained weight fc.bias is unmatched with the shape [96] in model head.conv_feat.se.1.fc.bias. And the weight fc.bias will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [1280, 1000] in pretrained weight fc.weight is unmatched with the shape [96, 96, 1, 1] in model head.conv_feat.se.1.fc.weight. And the weight fc.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [1000] in pretrained weight fc.bias is unmatched with the shape [96] in model head.conv_feat.se.2.fc.bias. And the weight fc.bias will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [1280, 1000] in pretrained weight fc.weight is unmatched with the shape [96, 96, 1, 1] in model head.conv_feat.se.2.fc.weight. And the weight fc.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [1000] in pretrained weight fc.bias is unmatched with the shape [96] in model head.conv_feat.se.3.fc.bias. And the weight fc.bias will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [1280, 1000] in pretrained weight fc.weight is unmatched with the shape [96, 96, 1, 1] in model head.conv_feat.se.3.fc.weight. And the weight fc.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn._mean is unmatched with the shape [48] in model neck.bottom_up_blocks.0.blocks.0.conv1.bn._mean. And the weight conv1.bn._mean will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn._variance is unmatched with the shape [48] in model neck.bottom_up_blocks.0.blocks.0.conv1.bn._variance. And the weight conv1.bn._variance will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn.bias is unmatched with the shape [48] in model neck.bottom_up_blocks.0.blocks.0.conv1.bn.bias. And the weight conv1.bn.bias will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn.weight is unmatched with the shape [48] in model neck.bottom_up_blocks.0.blocks.0.conv1.bn.weight. And the weight conv1.bn.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16, 3, 3, 3] in pretrained weight conv1.conv.weight is unmatched with the shape [48, 48, 1, 1] in model neck.bottom_up_blocks.0.blocks.0.conv1.conv.weight. And the weight conv1.conv.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn._mean is unmatched with the shape [48] in model neck.bottom_up_blocks.1.blocks.0.conv1.bn._mean. And the weight conv1.bn._mean will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn._variance is unmatched with the shape [48] in model neck.bottom_up_blocks.1.blocks.0.conv1.bn._variance. And the weight conv1.bn._variance will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn.bias is unmatched with the shape [48] in model neck.bottom_up_blocks.1.blocks.0.conv1.bn.bias. And the weight conv1.bn.bias will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn.weight is unmatched with the shape [48] in model neck.bottom_up_blocks.1.blocks.0.conv1.bn.weight. And the weight conv1.bn.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16, 3, 3, 3] in pretrained weight conv1.conv.weight is unmatched with the shape [48, 48, 1, 1] in model neck.bottom_up_blocks.1.blocks.0.conv1.conv.weight. And the weight conv1.conv.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn._mean is unmatched with the shape [48] in model neck.top_down_blocks.0.blocks.0.conv1.bn._mean. And the weight conv1.bn._mean will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn._variance is unmatched with the shape [48] in model neck.top_down_blocks.0.blocks.0.conv1.bn._variance. And the weight conv1.bn._variance will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn.bias is unmatched with the shape [48] in model neck.top_down_blocks.0.blocks.0.conv1.bn.bias. And the weight conv1.bn.bias will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn.weight is unmatched with the shape [48] in model neck.top_down_blocks.0.blocks.0.conv1.bn.weight. And the weight conv1.bn.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16, 3, 3, 3] in pretrained weight conv1.conv.weight is unmatched with the shape [48, 48, 1, 1] in model neck.top_down_blocks.0.blocks.0.conv1.conv.weight. And the weight conv1.conv.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn._mean is unmatched with the shape [48] in model neck.top_down_blocks.1.blocks.0.conv1.bn._mean. And the weight conv1.bn._mean will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn._variance is unmatched with the shape [48] in model neck.top_down_blocks.1.blocks.0.conv1.bn._variance. And the weight conv1.bn._variance will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn.bias is unmatched with the shape [48] in model neck.top_down_blocks.1.blocks.0.conv1.bn.bias. And the weight conv1.bn.bias will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16] in pretrained weight conv1.bn.weight is unmatched with the shape [48] in model neck.top_down_blocks.1.blocks.0.conv1.bn.weight. And the weight conv1.bn.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: The shape [16, 3, 3, 3] in pretrained weight conv1.conv.weight is unmatched with the shape [48, 48, 1, 1] in model neck.top_down_blocks.1.blocks.0.conv1.conv.weight. And the weight conv1.conv.weight will not be loaded
[07/26 10:45:15] ppdet.utils.checkpoint INFO: Finish loading model weights: /root/.cache/paddle/weights/PPLCNet_x0_75_pretrained.pdparams
[07/26 10:45:30] ppdet.engine INFO: Epoch: [0] [  0/732] learning_rate: 0.000000 loss_vfl: 3.299887 loss_bbox: 1.456168 loss_dfl: 1.025720 loss: 5.781776 eta: 37 days, 22:05:41 batch_cost: 14.9196 data_cost: 3.8790 ips: 2.6810 images/s
[07/26 10:45:56] ppdet.engine INFO: Epoch: [0] [ 20/732] learning_rate: 0.000037 loss_vfl: 4.744492 loss_bbox: 1.474034 loss_dfl: 1.016649 loss: 7.050313 eta: 4 days, 13:50:55 batch_cost: 1.1450 data_cost: 0.0026 ips: 34.9335 images/s
[07/26 10:46:24] ppdet.engine INFO: Epoch: [0] [ 40/732] learning_rate: 0.000149 loss_vfl: 4.715203 loss_bbox: 1.521324 loss_dfl: 1.032268 loss: 7.127638 eta: 3 days, 18:23:44 batch_cost: 1.1474 data_cost: 0.0030 ips: 34.8604 images/s
[07/26 10:46:50] ppdet.engine INFO: Epoch: [0] [ 60/732] learning_rate: 0.000336 loss_vfl: 4.021424 loss_bbox: 1.422514 loss_dfl: 0.981814 loss: 6.738125 eta: 3 days, 11:26:46 batch_cost: 1.1350 data_cost: 0.0074 ips: 35.2418 images/s
[07/26 10:47:18] ppdet.engine INFO: Epoch: [0] [ 80/732] learning_rate: 0.000597 loss_vfl: 4.126330 loss_bbox: 1.473888 loss_dfl: 0.999225 loss: 6.613232 eta: 3 days, 8:40:12 batch_cost: 1.1845 data_cost: 0.0049 ips: 33.7705 images/s
[07/26 10:47:45] ppdet.engine INFO: Epoch: [0] [100/732] learning_rate: 0.000933 loss_vfl: 3.339388 loss_bbox: 1.448210 loss_dfl: 0.977444 loss: 5.742805 eta: 3 days, 5:37:33 batch_cost: 1.0714 data_cost: 0.0048 ips: 37.3339 images/s
[07/26 10:48:13] ppdet.engine INFO: Epoch: [0] [120/732] learning_rate: 0.001344 loss_vfl: 2.859957 loss_bbox: 1.484395 loss_dfl: 1.017457 loss: 5.501773 eta: 3 days, 4:45:45 batch_cost: 1.1882 data_cost: 0.0056 ips: 33.6649 images/s
[07/26 10:48:38] ppdet.engine INFO: Epoch: [0] [140/732] learning_rate: 0.001829 loss_vfl: 2.503850 loss_bbox: 1.460316 loss_dfl: 1.020615 loss: 5.084222 eta: 3 days, 3:18:36 batch_cost: 1.0919 data_cost: 0.0098 ips: 36.6333 images/s
[07/26 10:49:08] ppdet.engine INFO: Epoch: [0] [160/732] learning_rate: 0.002389 loss_vfl: 2.259039 loss_bbox: 1.475194 loss_dfl: 1.007002 loss: 4.745077 eta: 3 days, 3:47:27 batch_cost: 1.2998 data_cost: 0.0046 ips: 30.7744 images/s
[07/26 10:49:34] ppdet.engine INFO: Epoch: [0] [180/732] learning_rate: 0.003023 loss_vfl: 2.052973 loss_bbox: 1.442505 loss_dfl: 0.921933 loss: 4.489872 eta: 3 days, 2:49:51 batch_cost: 1.1019 data_cost: 0.0073 ips: 36.3014 images/s
[07/26 10:50:01] ppdet.engine INFO: Epoch: [0] [200/732] learning_rate: 0.003733 loss_vfl: 1.935510 loss_bbox: 1.412082 loss_dfl: 0.895520 loss: 4.262998 eta: 3 days, 1:49:16 batch_cost: 1.0623 data_cost: 0.0074 ips: 37.6525 images/s
[07/26 10:50:28] ppdet.engine INFO: Epoch: [0] [220/732] learning_rate: 0.004516 loss_vfl: 1.932947 loss_bbox: 1.420878 loss_dfl: 0.899068 loss: 4.276077 eta: 3 days, 1:31:29 batch_cost: 1.1588 data_cost: 0.0096 ips: 34.5188 images/s
[07/26 10:50:55] ppdet.engine INFO: Epoch: [0] [240/732] learning_rate: 0.005375 loss_vfl: 1.695250 loss_bbox: 1.374199 loss_dfl: 0.842966 loss: 3.960850 eta: 3 days, 1:18:17 batch_cost: 1.1643 data_cost: 0.0004 ips: 34.3550 images/s
[07/26 10:51:22] ppdet.engine INFO: Epoch: [0] [260/732] learning_rate: 0.006308 loss_vfl: 1.834954 loss_bbox: 1.450593 loss_dfl: 0.890248 loss: 4.159011 eta: 3 days, 0:49:14 batch_cost: 1.1008 data_cost: 0.0110 ips: 36.3369 images/s
[07/26 10:51:47] ppdet.engine INFO: Epoch: [0] [280/732] learning_rate: 0.007316 loss_vfl: 1.753739 loss_bbox: 1.336569 loss_dfl: 0.819968 loss: 3.904690 eta: 3 days, 0:12:05 batch_cost: 1.0539 data_cost: 0.0068 ips: 37.9530 images/s
[07/26 10:52:15] ppdet.engine INFO: Epoch: [0] [300/732] learning_rate: 0.008398 loss_vfl: 1.864077 loss_bbox: 1.446522 loss_dfl: 0.895784 loss: 4.240685 eta: 3 days, 0:14:35 batch_cost: 1.1970 data_cost: 0.0012 ips: 33.4168 images/s
[07/26 10:52:41] ppdet.engine INFO: Epoch: [0] [320/732] learning_rate: 0.009555 loss_vfl: 1.645162 loss_bbox: 1.306449 loss_dfl: 0.801166 loss: 3.769704 eta: 2 days, 23:51:15 batch_cost: 1.0852 data_cost: 0.0061 ips: 36.8588 images/s
[07/26 10:53:10] ppdet.engine INFO: Epoch: [0] [340/732] learning_rate: 0.010787 loss_vfl: 1.703585 loss_bbox: 1.329965 loss_dfl: 0.814613 loss: 3.830908 eta: 2 days, 23:59:43 batch_cost: 1.2210 data_cost: 0.0081 ips: 32.7603 images/s
[07/26 10:53:37] ppdet.engine INFO: Epoch: [0] [360/732] learning_rate: 0.012094 loss_vfl: 1.707145 loss_bbox: 1.338266 loss_dfl: 0.808010 loss: 3.817698 eta: 2 days, 23:55:19 batch_cost: 1.1623 data_cost: 0.0021 ips: 34.4132 images/s
[07/26 10:54:04] ppdet.engine INFO: Epoch: [0] [380/732] learning_rate: 0.013475 loss_vfl: 1.760598 loss_bbox: 1.362735 loss_dfl: 0.828155 loss: 3.930755 eta: 2 days, 23:57:50 batch_cost: 1.1961 data_cost: 0.0037 ips: 33.4423 images/s
[07/26 10:54:31] ppdet.engine INFO: Epoch: [0] [400/732] learning_rate: 0.014930 loss_vfl: 1.726489 loss_bbox: 1.343769 loss_dfl: 0.819505 loss: 3.880654 eta: 2 days, 23:51:19 batch_cost: 1.1482 data_cost: 0.0025 ips: 34.8373 images/s
[07/26 10:54:58] ppdet.engine INFO: Epoch: [0] [420/732] learning_rate: 0.016461 loss_vfl: 1.761341 loss_bbox: 1.340573 loss_dfl: 0.821794 loss: 3.945035 eta: 2 days, 23:53:17 batch_cost: 1.1937 data_cost: 0.0025 ips: 33.5091 images/s
[07/26 10:55:26] ppdet.engine INFO: Epoch: [0] [440/732] learning_rate: 0.018066 loss_vfl: 1.736322 loss_bbox: 1.341521 loss_dfl: 0.816312 loss: 3.850649 eta: 2 days, 23:57:19 batch_cost: 1.2075 data_cost: 0.0084 ips: 33.1270 images/s
[07/26 10:55:53] ppdet.engine INFO: Epoch: [0] [460/732] learning_rate: 0.019745 loss_vfl: 1.740904 loss_bbox: 1.267509 loss_dfl: 0.783808 loss: 3.760231 eta: 2 days, 23:48:42 batch_cost: 1.1301 data_cost: 0.0064 ips: 35.3965 images/s
[07/26 10:56:20] ppdet.engine INFO: Epoch: [0] [480/732] learning_rate: 0.021500 loss_vfl: 1.696287 loss_bbox: 1.236021 loss_dfl: 0.759339 loss: 3.640370 eta: 2 days, 23:46:12 batch_cost: 1.1659 data_cost: 0.0089 ips: 34.3091 images/s
[07/26 10:56:47] ppdet.engine INFO: Epoch: [0] [500/732] learning_rate: 0.023329 loss_vfl: 1.680557 loss_bbox: 1.254896 loss_dfl: 0.765875 loss: 3.681539 eta: 2 days, 23:42:12 batch_cost: 1.1544 data_cost: 0.0029 ips: 34.6514 images/s
[07/26 10:57:15] ppdet.engine INFO: Epoch: [0] [520/732] learning_rate: 0.025232 loss_vfl: 1.777676 loss_bbox: 1.249517 loss_dfl: 0.781286 loss: 3.782525 eta: 2 days, 23:41:10 batch_cost: 1.1736 data_cost: 0.0078 ips: 34.0837 images/s
[07/26 10:57:43] ppdet.engine INFO: Epoch: [0] [540/732] learning_rate: 0.027210 loss_vfl: 1.711111 loss_bbox: 1.239836 loss_dfl: 0.760638 loss: 3.709595 eta: 2 days, 23:35:24 batch_cost: 1.1382 data_cost: 0.0049 ips: 35.1440 images/s
[07/26 10:58:09] ppdet.engine INFO: Epoch: [0] [560/732] learning_rate: 0.029263 loss_vfl: 1.754970 loss_bbox: 1.221864 loss_dfl: 0.756375 loss: 3.744501 eta: 2 days, 23:22:07 batch_cost: 1.0775 data_cost: 0.0028 ips: 37.1231 images/s
[07/26 10:58:37] ppdet.engine INFO: Epoch: [0] [580/732] learning_rate: 0.031391 loss_vfl: 1.781775 loss_bbox: 1.276376 loss_dfl: 0.786569 loss: 3.838915 eta: 2 days, 23:26:05 batch_cost: 1.2077 data_cost: 0.0004 ips: 33.1216 images/s
[07/26 10:59:03] ppdet.engine INFO: Epoch: [0] [600/732] learning_rate: 0.033593 loss_vfl: 1.727627 loss_bbox: 1.243412 loss_dfl: 0.753434 loss: 3.681252 eta: 2 days, 23:16:45 batch_cost: 1.1005 data_cost: 0.0093 ips: 36.3479 images/s
[07/26 10:59:30] ppdet.engine INFO: Epoch: [0] [620/732] learning_rate: 0.035870 loss_vfl: 1.733515 loss_bbox: 1.240268 loss_dfl: 0.758840 loss: 3.752335 eta: 2 days, 23:06:38 batch_cost: 1.0891 data_cost: 0.0041 ips: 36.7283 images/s
[07/26 10:59:56] ppdet.engine INFO: Epoch: [0] [640/732] learning_rate: 0.038222 loss_vfl: 1.756039 loss_bbox: 1.163323 loss_dfl: 0.729237 loss: 3.651356 eta: 2 days, 22:56:29 batch_cost: 1.0833 data_cost: 0.0082 ips: 36.9239 images/s
[07/26 11:00:23] ppdet.engine INFO: Epoch: [0] [660/732] learning_rate: 0.040648 loss_vfl: 1.811136 loss_bbox: 1.217266 loss_dfl: 0.759697 loss: 3.786645 eta: 2 days, 22:59:17 batch_cost: 1.1952 data_cost: 0.0053 ips: 33.4682 images/s
[07/26 11:00:51] ppdet.engine INFO: Epoch: [0] [680/732] learning_rate: 0.043148 loss_vfl: 1.773314 loss_bbox: 1.179515 loss_dfl: 0.740580 loss: 3.636930 eta: 2 days, 22:53:34 batch_cost: 1.1175 data_cost: 0.0105 ips: 35.7928 images/s
[07/26 11:01:18] ppdet.engine INFO: Epoch: [0] [700/732] learning_rate: 0.045724 loss_vfl: 1.732410 loss_bbox: 1.172554 loss_dfl: 0.724976 loss: 3.624486 eta: 2 days, 22:55:07 batch_cost: 1.1845 data_cost: 0.0022 ips: 33.7707 images/s
[07/26 11:01:44] ppdet.engine INFO: Epoch: [0] [720/732] learning_rate: 0.048374 loss_vfl: 1.709118 loss_bbox: 1.140144 loss_dfl: 0.714599 loss: 3.573708 eta: 2 days, 22:40:57 batch_cost: 1.0302 data_cost: 0.0061 ips: 38.8289 images/s
[07/26 11:02:07] ppdet.engine INFO: Epoch: [1] [  0/732] learning_rate: 0.050000 loss_vfl: 1.774664 loss_bbox: 1.172389 loss_dfl: 0.727863 loss: 3.684937 eta: 2 days, 23:11:59 batch_cost: 1.3950 data_cost: 0.4676 ips: 28.6732 images/s
[07/26 11:02:37] ppdet.engine INFO: Epoch: [1] [ 20/732] learning_rate: 0.052770 loss_vfl: 1.794087 loss_bbox: 1.185501 loss_dfl: 0.733978 loss: 3.680189 eta: 2 days, 23:25:46 batch_cost: 1.3173 data_cost: 0.0081 ips: 30.3655 images/s
[07/26 11:03:04] ppdet.engine INFO: Epoch: [1] [ 40/732] learning_rate: 0.055614 loss_vfl: 1.827582 loss_bbox: 1.174733 loss_dfl: 0.739163 loss: 3.741185 eta: 2 days, 23:21:46 batch_cost: 1.1368 data_cost: 0.0075 ips: 35.1855 images/s
[07/26 11:03:32] ppdet.engine INFO: Epoch: [1] [ 60/732] learning_rate: 0.058533 loss_vfl: 1.791119 loss_bbox: 1.134239 loss_dfl: 0.709383 loss: 3.643376 eta: 2 days, 23:22:47 batch_cost: 1.1893 data_cost: 0.0027 ips: 33.6330 images/s
[07/26 11:03:58] ppdet.engine INFO: Epoch: [1] [ 80/732] learning_rate: 0.061526 loss_vfl: 1.756915 loss_bbox: 1.131046 loss_dfl: 0.714037 loss: 3.604058 eta: 2 days, 23:18:22 batch_cost: 1.1295 data_cost: 0.0020 ips: 35.4140 images/s
[07/26 11:04:25] ppdet.engine INFO: Epoch: [1] [100/732] learning_rate: 0.064594 loss_vfl: 1.768184 loss_bbox: 1.146554 loss_dfl: 0.716324 loss: 3.617326 eta: 2 days, 23:05:29 batch_cost: 1.0307 data_cost: 0.0067 ips: 38.8094 images/s
[07/26 11:04:51] ppdet.engine INFO: Epoch: [1] [120/732] learning_rate: 0.067737 loss_vfl: 1.805736 loss_bbox: 1.148098 loss_dfl: 0.722914 loss: 3.703110 eta: 2 days, 22:55:57 batch_cost: 1.0629 data_cost: 0.0047 ips: 37.6335 images/s
[07/26 11:05:19] ppdet.engine INFO: Epoch: [1] [140/732] learning_rate: 0.070955 loss_vfl: 1.788499 loss_bbox: 1.140030 loss_dfl: 0.712643 loss: 3.655536 eta: 2 days, 22:56:16 batch_cost: 1.1758 data_cost: 0.0079 ips: 34.0208 images/s
[07/26 11:05:44] ppdet.engine INFO: Epoch: [1] [160/732] learning_rate: 0.074247 loss_vfl: 1.798921 loss_bbox: 1.195744 loss_dfl: 0.741961 loss: 3.759696 eta: 2 days, 22:41:37 batch_cost: 0.9928 data_cost: 0.0067 ips: 40.2906 images/s
[07/26 11:06:11] ppdet.engine INFO: Epoch: [1] [180/732] learning_rate: 0.077614 loss_vfl: 1.798696 loss_bbox: 1.120386 loss_dfl: 0.696892 loss: 3.603384 eta: 2 days, 22:38:39 batch_cost: 1.1314 data_cost: 0.0027 ips: 35.3540 images/s
[07/26 11:06:36] ppdet.engine INFO: Epoch: [1] [200/732] learning_rate: 0.081055 loss_vfl: 1.762394 loss_bbox: 1.109826 loss_dfl: 0.683242 loss: 3.507440 eta: 2 days, 22:28:41 batch_cost: 1.0404 data_cost: 0.0036 ips: 38.4473 images/s
[07/26 11:07:03] ppdet.engine INFO: Epoch: [1] [220/732] learning_rate: 0.084571 loss_vfl: 1.801145 loss_bbox: 1.112573 loss_dfl: 0.704022 loss: 3.608078 eta: 2 days, 22:26:44 batch_cost: 1.1399 data_cost: 0.0054 ips: 35.0921 images/s
[07/26 11:07:29] ppdet.engine INFO: Epoch: [1] [240/732] learning_rate: 0.088162 loss_vfl: 1.788246 loss_bbox: 1.146609 loss_dfl: 0.713523 loss: 3.644763 eta: 2 days, 22:24:17 batch_cost: 1.1323 data_cost: 0.0026 ips: 35.3259 images/s
[07/26 11:07:55] ppdet.engine INFO: Epoch: [1] [260/732] learning_rate: 0.091827 loss_vfl: 1.723445 loss_bbox: 1.119995 loss_dfl: 0.694701 loss: 3.549033 eta: 2 days, 22:13:47 batch_cost: 1.0215 data_cost: 0.0078 ips: 39.1579 images/s
[07/26 11:08:21] ppdet.engine INFO: Epoch: [1] [280/732] learning_rate: 0.095567 loss_vfl: 1.791778 loss_bbox: 1.116405 loss_dfl: 0.694267 loss: 3.566483 eta: 2 days, 22:04:10 batch_cost: 1.0283 data_cost: 0.0036 ips: 38.9006 images/s
[07/26 11:08:46] ppdet.engine INFO: Epoch: [1] [300/732] learning_rate: 0.099382 loss_vfl: 1.754085 loss_bbox: 1.118632 loss_dfl: 0.681760 loss: 3.511332 eta: 2 days, 21:57:49 batch_cost: 1.0692 data_cost: 0.0024 ips: 37.4107 images/s
[07/26 11:09:13] ppdet.engine INFO: Epoch: [1] [320/732] learning_rate: 0.103271 loss_vfl: 1.766217 loss_bbox: 1.106278 loss_dfl: 0.695719 loss: 3.568335 eta: 2 days, 21:54:44 batch_cost: 1.1136 data_cost: 0.0064 ips: 35.9210 images/s
[07/26 11:09:37] ppdet.engine INFO: Epoch: [1] [340/732] learning_rate: 0.107235 loss_vfl: 1.705084 loss_bbox: 1.066325 loss_dfl: 0.668252 loss: 3.459599 eta: 2 days, 21:40:42 batch_cost: 0.9506 data_cost: 0.0135 ips: 42.0808 images/s
[07/26 11:10:05] ppdet.engine INFO: Epoch: [1] [360/732] learning_rate: 0.111274 loss_vfl: 1.793496 loss_bbox: 1.051782 loss_dfl: 0.663651 loss: 3.519543 eta: 2 days, 21:43:32 batch_cost: 1.1959 data_cost: 0.0060 ips: 33.4468 images/s
[07/26 11:10:32] ppdet.engine INFO: Epoch: [1] [380/732] learning_rate: 0.115387 loss_vfl: 1.757433 loss_bbox: 1.135264 loss_dfl: 0.701903 loss: 3.588800 eta: 2 days, 21:38:22 batch_cost: 1.0758 data_cost: 0.0052 ips: 37.1817 images/s
[07/26 11:10:59] ppdet.engine INFO: Epoch: [1] [400/732] learning_rate: 0.119575 loss_vfl: 1.769303 loss_bbox: 1.049086 loss_dfl: 0.660029 loss: 3.458712 eta: 2 days, 21:35:47 batch_cost: 1.1131 data_cost: 0.0140 ips: 35.9350 images/s
[07/26 11:11:25] ppdet.engine INFO: Epoch: [1] [420/732] learning_rate: 0.123838 loss_vfl: 1.740992 loss_bbox: 1.033542 loss_dfl: 0.657971 loss: 3.416923 eta: 2 days, 21:33:23 batch_cost: 1.1151 data_cost: 0.0069 ips: 35.8727 images/s
[07/26 11:11:52] ppdet.engine INFO: Epoch: [1] [440/732] learning_rate: 0.128175 loss_vfl: 1.757018 loss_bbox: 1.084802 loss_dfl: 0.682593 loss: 3.541604 eta: 2 days, 21:32:00 batch_cost: 1.1301 data_cost: 0.0028 ips: 35.3956 images/s
[07/26 11:12:17] ppdet.engine INFO: Epoch: [1] [460/732] learning_rate: 0.132587 loss_vfl: 1.726165 loss_bbox: 1.041944 loss_dfl: 0.660607 loss: 3.432642 eta: 2 days, 21:25:40 batch_cost: 1.0484 data_cost: 0.0067 ips: 38.1539 images/s
[07/26 11:12:45] ppdet.engine INFO: Epoch: [1] [480/732] learning_rate: 0.137073 loss_vfl: 1.703050 loss_bbox: 1.016692 loss_dfl: 0.648913 loss: 3.390167 eta: 2 days, 21:25:50 batch_cost: 1.1536 data_cost: 0.0094 ips: 34.6754 images/s
[07/26 11:13:11] ppdet.engine INFO: Epoch: [1] [500/732] learning_rate: 0.141635 loss_vfl: 1.748014 loss_bbox: 1.071292 loss_dfl: 0.678733 loss: 3.505533 eta: 2 days, 21:22:34 batch_cost: 1.0955 data_cost: 0.0058 ips: 36.5122 images/s
[07/26 11:13:38] ppdet.engine INFO: Epoch: [1] [520/732] learning_rate: 0.146270 loss_vfl: 1.763171 loss_bbox: 1.060391 loss_dfl: 0.669362 loss: 3.502276 eta: 2 days, 21:17:11 batch_cost: 1.0577 data_cost: 0.0067 ips: 37.8193 images/s
[07/26 11:14:05] ppdet.engine INFO: Epoch: [1] [540/732] learning_rate: 0.150981 loss_vfl: 1.714022 loss_bbox: 1.037038 loss_dfl: 0.661856 loss: 3.400223 eta: 2 days, 21:17:12 batch_cost: 1.1493 data_cost: 0.0080 ips: 34.8031 images/s
[07/26 11:14:31] ppdet.engine INFO: Epoch: [1] [560/732] learning_rate: 0.155766 loss_vfl: 1.698472 loss_bbox: 1.044030 loss_dfl: 0.659889 loss: 3.411709 eta: 2 days, 21:12:52 batch_cost: 1.0724 data_cost: 0.0046 ips: 37.3001 images/s
[07/26 11:14:57] ppdet.engine INFO: Epoch: [1] [580/732] learning_rate: 0.160626 loss_vfl: 1.821809 loss_bbox: 1.091862 loss_dfl: 0.689676 loss: 3.611254 eta: 2 days, 21:06:56 batch_cost: 1.0411 data_cost: 0.0103 ips: 38.4207 images/s
[07/26 11:15:25] ppdet.engine INFO: Epoch: [1] [600/732] learning_rate: 0.165560 loss_vfl: 1.725281 loss_bbox: 1.006046 loss_dfl: 0.639318 loss: 3.348853 eta: 2 days, 21:04:23 batch_cost: 1.1001 data_cost: 0.0071 ips: 36.3604 images/s
[07/26 11:15:51] ppdet.engine INFO: Epoch: [1] [620/732] learning_rate: 0.170569 loss_vfl: 1.736443 loss_bbox: 1.018868 loss_dfl: 0.644652 loss: 3.404190 eta: 2 days, 20:56:53 batch_cost: 1.0070 data_cost: 0.0157 ips: 39.7226 images/s
[07/26 11:16:18] ppdet.engine INFO: Epoch: [1] [640/732] learning_rate: 0.175653 loss_vfl: 1.712803 loss_bbox: 1.001180 loss_dfl: 0.635517 loss: 3.314013 eta: 2 days, 20:54:43 batch_cost: 1.1033 data_cost: 0.0105 ips: 36.2553 images/s
[07/26 11:16:47] ppdet.engine INFO: Epoch: [1] [660/732] learning_rate: 0.180812 loss_vfl: 1.771086 loss_bbox: 1.025612 loss_dfl: 0.658964 loss: 3.471486 eta: 2 days, 20:49:08 batch_cost: 1.0371 data_cost: 0.0073 ips: 38.5688 images/s
[07/26 11:17:13] ppdet.engine INFO: Epoch: [1] [680/732] learning_rate: 0.186045 loss_vfl: 1.738498 loss_bbox: 1.022855 loss_dfl: 0.654925 loss: 3.400720 eta: 2 days, 20:42:44 batch_cost: 1.0186 data_cost: 0.0118 ips: 39.2685 images/s
[07/26 11:17:39] ppdet.engine INFO: Epoch: [1] [700/732] learning_rate: 0.191352 loss_vfl: 1.786726 loss_bbox: 1.035251 loss_dfl: 0.657089 loss: 3.459572 eta: 2 days, 20:45:04 batch_cost: 1.1871 data_cost: 0.0040 ips: 33.6965 images/s
[07/26 11:18:06] ppdet.engine INFO: Epoch: [1] [720/732] learning_rate: 0.196735 loss_vfl: 1.760513 loss_bbox: 1.056711 loss_dfl: 0.672708 loss: 3.503697 eta: 2 days, 20:45:18 batch_cost: 1.1467 data_cost: 0.0064 ips: 34.8823 images/s
[07/26 11:18:29] ppdet.engine INFO: Epoch: [2] [  0/732] learning_rate: 0.200000 loss_vfl: 1.779479 loss_bbox: 1.038962 loss_dfl: 0.663290 loss: 3.478480 eta: 2 days, 21:00:58 batch_cost: 1.4888 data_cost: 0.4646 ips: 26.8677 images/s
[07/26 11:18:58] ppdet.engine INFO: Epoch: [2] [ 20/732] learning_rate: 0.200000 loss_vfl: 1.732053 loss_bbox: 1.055247 loss_dfl: 0.670300 loss: 3.481298 eta: 2 days, 21:11:16 batch_cost: 1.3573 data_cost: 0.0060 ips: 29.4700 images/s
[07/26 11:19:25] ppdet.engine INFO: Epoch: [2] [ 40/732] learning_rate: 0.200000 loss_vfl: 1.689515 loss_bbox: 1.008656 loss_dfl: 0.639705 loss: 3.359818 eta: 2 days, 21:10:12 batch_cost: 1.1277 data_cost: 0.0074 ips: 35.4713 images/s
[07/26 11:19:50] ppdet.engine INFO: Epoch: [2] [ 60/732] learning_rate: 0.200000 loss_vfl: 1.767629 loss_bbox: 1.028830 loss_dfl: 0.652808 loss: 3.461831 eta: 2 days, 21:08:04 batch_cost: 1.1048 data_cost: 0.0077 ips: 36.2069 images/s
[07/26 11:20:18] ppdet.engine INFO: Epoch: [2] [ 80/732] learning_rate: 0.200000 loss_vfl: 1.730865 loss_bbox: 1.023136 loss_dfl: 0.644417 loss: 3.386582 eta: 2 days, 21:09:10 batch_cost: 1.1727 data_cost: 0.0018 ips: 34.1080 images/s
[07/26 11:20:46] ppdet.engine INFO: Epoch: [2] [100/732] learning_rate: 0.200000 loss_vfl: 1.639450 loss_bbox: 0.960734 loss_dfl: 0.613179 loss: 3.217473 eta: 2 days, 21:08:45 batch_cost: 1.1411 data_cost: 0.0102 ips: 35.0540 images/s
[07/26 11:21:11] ppdet.engine INFO: Epoch: [2] [120/732] learning_rate: 0.200000 loss_vfl: 1.687726 loss_bbox: 0.976937 loss_dfl: 0.615886 loss: 3.236149 eta: 2 days, 21:04:34 batch_cost: 1.0587 data_cost: 0.0080 ips: 37.7806 images/s
[07/26 11:21:39] ppdet.engine INFO: Epoch: [2] [140/732] learning_rate: 0.200000 loss_vfl: 1.775404 loss_bbox: 1.015841 loss_dfl: 0.657932 loss: 3.488410 eta: 2 days, 20:59:35 batch_cost: 1.0387 data_cost: 0.0072 ips: 38.5090 images/s
[07/26 11:22:04] ppdet.engine INFO: Epoch: [2] [160/732] learning_rate: 0.200000 loss_vfl: 1.728514 loss_bbox: 0.997695 loss_dfl: 0.639824 loss: 3.366976 eta: 2 days, 20:53:50 batch_cost: 1.0193 data_cost: 0.0048 ips: 39.2442 images/s
[07/26 11:22:30] ppdet.engine INFO: Epoch: [2] [180/732] learning_rate: 0.200000 loss_vfl: 1.656828 loss_bbox: 0.998928 loss_dfl: 0.629833 loss: 3.275904 eta: 2 days, 20:48:58 batch_cost: 1.0366 data_cost: 0.0088 ips: 38.5892 images/s
[07/26 11:22:56] ppdet.engine INFO: Epoch: [2] [200/732] learning_rate: 0.200000 loss_vfl: 1.756861 loss_bbox: 1.042172 loss_dfl: 0.661867 loss: 3.446517 eta: 2 days, 20:47:04 batch_cost: 1.1018 data_cost: 0.0041 ips: 36.3057 images/s
[07/26 11:23:22] ppdet.engine INFO: Epoch: [2] [220/732] learning_rate: 0.199999 loss_vfl: 1.674995 loss_bbox: 1.008547 loss_dfl: 0.642141 loss: 3.335214 eta: 2 days, 20:44:30 batch_cost: 1.0854 data_cost: 0.0114 ips: 36.8521 images/s
[07/26 11:23:48] ppdet.engine INFO: Epoch: [2] [240/732] learning_rate: 0.199999 loss_vfl: 1.696781 loss_bbox: 1.009093 loss_dfl: 0.639219 loss: 3.350480 eta: 2 days, 20:40:58 batch_cost: 1.0614 data_cost: 0.0057 ips: 37.6863 images/s
[07/26 11:24:15] ppdet.engine INFO: Epoch: [2] [260/732] learning_rate: 0.199999 loss_vfl: 1.766310 loss_bbox: 1.015687 loss_dfl: 0.652234 loss: 3.411664 eta: 2 days, 20:39:00 batch_cost: 1.0970 data_cost: 0.0048 ips: 36.4642 images/s
[07/26 11:24:43] ppdet.engine INFO: Epoch: [2] [280/732] learning_rate: 0.199999 loss_vfl: 1.751459 loss_bbox: 0.990892 loss_dfl: 0.641684 loss: 3.390675 eta: 2 days, 20:36:27 batch_cost: 1.0821 data_cost: 0.0056 ips: 36.9641 images/s
[07/26 11:25:09] ppdet.engine INFO: Epoch: [2] [300/732] learning_rate: 0.199999 loss_vfl: 1.765420 loss_bbox: 1.034389 loss_dfl: 0.661753 loss: 3.478473 eta: 2 days, 20:35:24 batch_cost: 1.1175 data_cost: 0.0064 ips: 35.7941 images/s
[07/26 11:25:38] ppdet.engine INFO: Epoch: [2] [320/732] learning_rate: 0.199999 loss_vfl: 1.680941 loss_bbox: 0.991593 loss_dfl: 0.621538 loss: 3.268506 eta: 2 days, 20:35:18 batch_cost: 1.1402 data_cost: 0.0068 ips: 35.0802 images/s
[07/26 11:26:04] ppdet.engine INFO: Epoch: [2] [340/732] learning_rate: 0.199999 loss_vfl: 1.670504 loss_bbox: 0.972347 loss_dfl: 0.622441 loss: 3.256468 eta: 2 days, 20:32:11 batch_cost: 1.0655 data_cost: 0.0059 ips: 37.5413 images/s
[07/26 11:26:31] ppdet.engine INFO: Epoch: [2] [360/732] learning_rate: 0.199998 loss_vfl: 1.715495 loss_bbox: 1.008346 loss_dfl: 0.656071 loss: 3.420540 eta: 2 days, 20:32:22 batch_cost: 1.1471 data_cost: 0.0053 ips: 34.8714 images/s
[07/26 11:27:00] ppdet.engine INFO: Epoch: [2] [380/732] learning_rate: 0.199998 loss_vfl: 1.665097 loss_bbox: 0.989533 loss_dfl: 0.632293 loss: 3.285084 eta: 2 days, 20:34:08 batch_cost: 1.1877 data_cost: 0.0058 ips: 33.6786 images/s
[07/26 11:27:25] ppdet.engine INFO: Epoch: [2] [400/732] learning_rate: 0.199998 loss_vfl: 1.701743 loss_bbox: 0.990511 loss_dfl: 0.639885 loss: 3.327832 eta: 2 days, 20:28:12 batch_cost: 0.9905 data_cost: 0.0053 ips: 40.3819 images/s
[07/26 11:27:54] ppdet.engine INFO: Epoch: [2] [420/732] learning_rate: 0.199998 loss_vfl: 1.728243 loss_bbox: 0.994825 loss_dfl: 0.639084 loss: 3.339549 eta: 2 days, 20:29:53 batch_cost: 1.1857 data_cost: 0.0138 ips: 33.7341 images/s
[07/26 11:28:21] ppdet.engine INFO: Epoch: [2] [440/732] learning_rate: 0.199998 loss_vfl: 1.696078 loss_bbox: 0.975242 loss_dfl: 0.627168 loss: 3.317421 eta: 2 days, 20:26:49 batch_cost: 1.0620 data_cost: 0.0019 ips: 37.6650 images/s
[07/26 11:28:47] ppdet.engine INFO: Epoch: [2] [460/732] learning_rate: 0.199998 loss_vfl: 1.655269 loss_bbox: 0.993320 loss_dfl: 0.625132 loss: 3.277329 eta: 2 days, 20:26:12 batch_cost: 1.1258 data_cost: 0.0053 ips: 35.5310 images/s
[07/26 11:29:13] ppdet.engine INFO: Epoch: [2] [480/732] learning_rate: 0.199997 loss_vfl: 1.725885 loss_bbox: 0.989354 loss_dfl: 0.643021 loss: 3.368054 eta: 2 days, 20:25:21 batch_cost: 1.1188 data_cost: 0.0081 ips: 35.7519 images/s
[07/26 11:29:39] ppdet.engine INFO: Epoch: [2] [500/732] learning_rate: 0.199997 loss_vfl: 1.768144 loss_bbox: 1.039988 loss_dfl: 0.666473 loss: 3.458602 eta: 2 days, 20:21:22 batch_cost: 1.0342 data_cost: 0.0056 ips: 38.6775 images/s
[07/26 11:30:05] ppdet.engine INFO: Epoch: [2] [520/732] learning_rate: 0.199997 loss_vfl: 1.675406 loss_bbox: 0.952740 loss_dfl: 0.617180 loss: 3.267120 eta: 2 days, 20:18:33 batch_cost: 1.0639 data_cost: 0.0109 ips: 37.5961 images/s
[07/26 11:30:32] ppdet.engine INFO: Epoch: [2] [540/732] learning_rate: 0.199997 loss_vfl: 1.708420 loss_bbox: 1.027399 loss_dfl: 0.650121 loss: 3.370208 eta: 2 days, 20:18:43 batch_cost: 1.1450 data_cost: 0.0056 ips: 34.9360 images/s
[07/26 11:30:59] ppdet.engine INFO: Epoch: [2] [560/732] learning_rate: 0.199996 loss_vfl: 1.658606 loss_bbox: 0.957137 loss_dfl: 0.611986 loss: 3.233871 eta: 2 days, 20:18:23 batch_cost: 1.1314 data_cost: 0.0018 ips: 35.3552 images/s
[07/26 11:31:24] ppdet.engine INFO: Epoch: [2] [580/732] learning_rate: 0.199996 loss_vfl: 1.707498 loss_bbox: 0.970361 loss_dfl: 0.628124 loss: 3.307239 eta: 2 days, 20:14:00 batch_cost: 1.0172 data_cost: 0.0043 ips: 39.3234 images/s
[07/26 11:31:50] ppdet.engine INFO: Epoch: [2] [600/732] learning_rate: 0.199996 loss_vfl: 1.670107 loss_bbox: 0.989215 loss_dfl: 0.625732 loss: 3.288468 eta: 2 days, 20:11:57 batch_cost: 1.0815 data_cost: 0.0029 ips: 36.9855 images/s
[07/26 11:32:18] ppdet.engine INFO: Epoch: [2] [620/732] learning_rate: 0.199995 loss_vfl: 1.697303 loss_bbox: 0.969338 loss_dfl: 0.619707 loss: 3.260465 eta: 2 days, 20:12:51 batch_cost: 1.1655 data_cost: 0.0076 ips: 34.3195 images/s
[07/26 11:32:43] ppdet.engine INFO: Epoch: [2] [640/732] learning_rate: 0.199995 loss_vfl: 1.638735 loss_bbox: 0.977996 loss_dfl: 0.628505 loss: 3.278995 eta: 2 days, 20:07:50 batch_cost: 0.9942 data_cost: 0.0091 ips: 40.2343 images/s
[07/26 11:33:10] ppdet.engine INFO: Epoch: [2] [660/732] learning_rate: 0.199995 loss_vfl: 1.658564 loss_bbox: 0.953602 loss_dfl: 0.613875 loss: 3.225426 eta: 2 days, 20:05:12 batch_cost: 1.0617 data_cost: 0.0037 ips: 37.6743 images/s
[07/26 11:33:35] ppdet.engine INFO: Epoch: [2] [680/732] learning_rate: 0.199995 loss_vfl: 1.640417 loss_bbox: 0.926748 loss_dfl: 0.590459 loss: 3.152919 eta: 2 days, 20:00:41 batch_cost: 1.0044 data_cost: 0.0048 ips: 39.8243 images/s
[07/26 11:34:01] ppdet.engine INFO: Epoch: [2] [700/732] learning_rate: 0.199994 loss_vfl: 1.660374 loss_bbox: 0.967205 loss_dfl: 0.607314 loss: 3.224121 eta: 2 days, 19:58:25 batch_cost: 1.0692 data_cost: 0.0177 ips: 37.4122 images/s
[07/26 11:34:28] ppdet.engine INFO: Epoch: [2] [720/732] learning_rate: 0.199994 loss_vfl: 1.713756 loss_bbox: 0.986356 loss_dfl: 0.635579 loss: 3.352690 eta: 2 days, 19:55:20 batch_cost: 1.0439 data_cost: 0.0084 ips: 38.3193 images/s
[07/26 11:34:48] ppdet.engine INFO: Epoch: [3] [  0/732] learning_rate: 0.199994 loss_vfl: 1.697426 loss_bbox: 1.006296 loss_dfl: 0.646098 loss: 3.350472 eta: 2 days, 20:01:24 batch_cost: 1.2886 data_cost: 0.4102 ips: 31.0414 images/s
[07/26 11:35:20] ppdet.engine INFO: Epoch: [3] [ 20/732] learning_rate: 0.199993 loss_vfl: 1.692969 loss_bbox: 0.986612 loss_dfl: 0.635138 loss: 3.303906 eta: 2 days, 20:08:32 batch_cost: 1.3565 data_cost: 0.0067 ips: 29.4878 images/s
[07/26 11:35:46] ppdet.engine INFO: Epoch: [3] [ 40/732] learning_rate: 0.199993 loss_vfl: 1.705791 loss_bbox: 0.954705 loss_dfl: 0.619831 loss: 3.292075 eta: 2 days, 20:04:49 batch_cost: 1.0251 data_cost: 0.0067 ips: 39.0224 images/s
[07/26 11:36:13] ppdet.engine INFO: Epoch: [3] [ 60/732] learning_rate: 0.199993 loss_vfl: 1.629174 loss_bbox: 0.906417 loss_dfl: 0.584791 loss: 3.116642 eta: 2 days, 20:05:19 batch_cost: 1.1550 data_cost: 0.0159 ips: 34.6321 images/s
[07/26 11:36:40] ppdet.engine INFO: Epoch: [3] [ 80/732] learning_rate: 0.199992 loss_vfl: 1.628760 loss_bbox: 0.974680 loss_dfl: 0.623299 loss: 3.219143 eta: 2 days, 20:03:18 batch_cost: 1.0761 data_cost: 0.0083 ips: 37.1701 images/s
[07/26 11:37:08] ppdet.engine INFO: Epoch: [3] [100/732] learning_rate: 0.199992 loss_vfl: 1.686126 loss_bbox: 0.961491 loss_dfl: 0.611707 loss: 3.222602 eta: 2 days, 20:06:15 batch_cost: 1.2327 data_cost: 0.0162 ips: 32.4491 images/s
[07/26 11:37:35] ppdet.engine INFO: Epoch: [3] [120/732] learning_rate: 0.199991 loss_vfl: 1.622808 loss_bbox: 0.942392 loss_dfl: 0.611462 loss: 3.199986 eta: 2 days, 20:05:48 batch_cost: 1.1258 data_cost: 0.0037 ips: 35.5300 images/s
[07/26 11:38:02] ppdet.engine INFO: Epoch: [3] [140/732] learning_rate: 0.199991 loss_vfl: 1.640262 loss_bbox: 0.952744 loss_dfl: 0.612560 loss: 3.196632 eta: 2 days, 20:03:47 batch_cost: 1.0755 data_cost: 0.0077 ips: 37.1937 images/s
[07/26 11:38:28] ppdet.engine INFO: Epoch: [3] [160/732] learning_rate: 0.199991 loss_vfl: 1.677851 loss_bbox: 0.986009 loss_dfl: 0.633798 loss: 3.303581 eta: 2 days, 20:01:05 batch_cost: 1.0521 data_cost: 0.0027 ips: 38.0183 images/s
[07/26 11:38:55] ppdet.engine INFO: Epoch: [3] [180/732] learning_rate: 0.199990 loss_vfl: 1.661217 loss_bbox: 0.957064 loss_dfl: 0.608558 loss: 3.226238 eta: 2 days, 20:00:19 batch_cost: 1.1145 data_cost: 0.0066 ips: 35.8893 images/s
[07/26 11:39:20] ppdet.engine INFO: Epoch: [3] [200/732] learning_rate: 0.199990 loss_vfl: 1.609720 loss_bbox: 0.959303 loss_dfl: 0.609776 loss: 3.164305 eta: 2 days, 19:58:52 batch_cost: 1.0914 data_cost: 0.0049 ips: 36.6518 images/s
[07/26 11:39:47] ppdet.engine INFO: Epoch: [3] [220/732] learning_rate: 0.199989 loss_vfl: 1.603608 loss_bbox: 0.931234 loss_dfl: 0.598332 loss: 3.109294 eta: 2 days, 19:59:13 batch_cost: 1.1510 data_cost: 0.0070 ips: 34.7518 images/s
[07/26 11:40:14] ppdet.engine INFO: Epoch: [3] [240/732] learning_rate: 0.199989 loss_vfl: 1.721709 loss_bbox: 0.946117 loss_dfl: 0.627889 loss: 3.324324 eta: 2 days, 19:58:41 batch_cost: 1.1213 data_cost: 0.0067 ips: 35.6738 images/s
[07/26 11:40:39] ppdet.engine INFO: Epoch: [3] [260/732] learning_rate: 0.199988 loss_vfl: 1.625217 loss_bbox: 0.955363 loss_dfl: 0.616900 loss: 3.202253 eta: 2 days, 19:55:54 batch_cost: 1.0453 data_cost: 0.0074 ips: 38.2663 images/s
[07/26 11:41:06] ppdet.engine INFO: Epoch: [3] [280/732] learning_rate: 0.199988 loss_vfl: 1.661055 loss_bbox: 0.973698 loss_dfl: 0.630206 loss: 3.208008 eta: 2 days, 19:51:29 batch_cost: 0.9879 data_cost: 0.0038 ips: 40.4882 images/s
[07/26 11:41:32] ppdet.engine INFO: Epoch: [3] [300/732] learning_rate: 0.199987 loss_vfl: 1.655185 loss_bbox: 0.970862 loss_dfl: 0.613704 loss: 3.203036 eta: 2 days, 19:49:53 batch_cost: 1.0828 data_cost: 0.0065 ips: 36.9400 images/s
[07/26 11:41:59] ppdet.engine INFO: Epoch: [3] [320/732] learning_rate: 0.199987 loss_vfl: 1.644310 loss_bbox: 0.948936 loss_dfl: 0.613067 loss: 3.233775 eta: 2 days, 19:51:00 batch_cost: 1.1770 data_cost: 0.0056 ips: 33.9849 images/s
[07/26 11:42:24] ppdet.engine INFO: Epoch: [3] [340/732] learning_rate: 0.199986 loss_vfl: 1.644249 loss_bbox: 0.937030 loss_dfl: 0.605176 loss: 3.151512 eta: 2 days, 19:48:20 batch_cost: 1.0448 data_cost: 0.0071 ips: 38.2837 images/s
[07/26 11:42:50] ppdet.engine INFO: Epoch: [3] [360/732] learning_rate: 0.199986 loss_vfl: 1.655995 loss_bbox: 0.979509 loss_dfl: 0.622136 loss: 3.204930 eta: 2 days, 19:46:21 batch_cost: 1.0676 data_cost: 0.0084 ips: 37.4681 images/s
[07/26 11:43:17] ppdet.engine INFO: Epoch: [3] [380/732] learning_rate: 0.199985 loss_vfl: 1.600826 loss_bbox: 0.951830 loss_dfl: 0.613794 loss: 3.155545 eta: 2 days, 19:45:20 batch_cost: 1.1012 data_cost: 0.0039 ips: 36.3229 images/s
[07/26 11:43:44] ppdet.engine INFO: Epoch: [3] [400/732] learning_rate: 0.199985 loss_vfl: 1.636122 loss_bbox: 0.923694 loss_dfl: 0.604693 loss: 3.164829 eta: 2 days, 19:46:05 batch_cost: 1.1640 data_cost: 0.0085 ips: 34.3648 images/s
[07/26 11:44:11] ppdet.engine INFO: Epoch: [3] [420/732] learning_rate: 0.199984 loss_vfl: 1.686808 loss_bbox: 0.942322 loss_dfl: 0.614570 loss: 3.248425 eta: 2 days, 19:43:42 batch_cost: 1.0519 data_cost: 0.0036 ips: 38.0249 images/s
[07/26 11:44:38] ppdet.engine INFO: Epoch: [3] [440/732] learning_rate: 0.199984 loss_vfl: 1.670020 loss_bbox: 0.957962 loss_dfl: 0.621943 loss: 3.257894 eta: 2 days, 19:44:10 batch_cost: 1.1542 data_cost: 0.0061 ips: 34.6565 images/s
[07/26 11:45:04] ppdet.engine INFO: Epoch: [3] [460/732] learning_rate: 0.199983 loss_vfl: 1.611263 loss_bbox: 0.931373 loss_dfl: 0.596499 loss: 3.140922 eta: 2 days, 19:43:46 batch_cost: 1.1232 data_cost: 0.0041 ips: 35.6139 images/s
[07/26 11:45:31] ppdet.engine INFO: Epoch: [3] [480/732] learning_rate: 0.199983 loss_vfl: 1.643394 loss_bbox: 0.959929 loss_dfl: 0.622066 loss: 3.236537 eta: 2 days, 19:43:01 batch_cost: 1.1096 data_cost: 0.0039 ips: 36.0490 images/s
[07/26 11:45:57] ppdet.engine INFO: Epoch: [3] [500/732] learning_rate: 0.199982 loss_vfl: 1.663225 loss_bbox: 0.984523 loss_dfl: 0.623197 loss: 3.231983 eta: 2 days, 19:41:41 batch_cost: 1.0886 data_cost: 0.0037 ips: 36.7461 images/s
[07/26 11:46:24] ppdet.engine INFO: Epoch: [3] [520/732] learning_rate: 0.199982 loss_vfl: 1.707376 loss_bbox: 0.946678 loss_dfl: 0.616221 loss: 3.242915 eta: 2 days, 19:42:11 batch_cost: 1.1564 data_cost: 0.0108 ips: 34.5890 images/s
[07/26 11:46:51] ppdet.engine INFO: Epoch: [3] [540/732] learning_rate: 0.199981 loss_vfl: 1.626571 loss_bbox: 0.932971 loss_dfl: 0.601849 loss: 3.179143 eta: 2 days, 19:40:57 batch_cost: 1.0911 data_cost: 0.0102 ips: 36.6609 images/s
[07/26 11:47:17] ppdet.engine INFO: Epoch: [3] [560/732] learning_rate: 0.199980 loss_vfl: 1.691692 loss_bbox: 0.967872 loss_dfl: 0.630273 loss: 3.303509 eta: 2 days, 19:38:17 batch_cost: 1.0358 data_cost: 0.0008 ips: 38.6177 images/s
[07/26 11:47:43] ppdet.engine INFO: Epoch: [3] [580/732] learning_rate: 0.199980 loss_vfl: 1.637118 loss_bbox: 0.915623 loss_dfl: 0.598578 loss: 3.147293 eta: 2 days, 19:38:40 batch_cost: 1.1524 data_cost: 0.0042 ips: 34.7098 images/s
[07/26 11:48:09] ppdet.engine INFO: Epoch: [3] [600/732] learning_rate: 0.199979 loss_vfl: 1.705979 loss_bbox: 0.969394 loss_dfl: 0.627209 loss: 3.326391 eta: 2 days, 19:37:41 batch_cost: 1.0997 data_cost: 0.0084 ips: 36.3722 images/s
[07/26 11:48:37] ppdet.engine INFO: Epoch: [3] [620/732] learning_rate: 0.199978 loss_vfl: 1.642173 loss_bbox: 0.938369 loss_dfl: 0.611006 loss: 3.197056 eta: 2 days, 19:36:55 batch_cost: 1.1073 data_cost: 0.0069 ips: 36.1239 images/s
[07/26 11:49:03] ppdet.engine INFO: Epoch: [3] [640/732] learning_rate: 0.199978 loss_vfl: 1.621276 loss_bbox: 0.928617 loss_dfl: 0.602106 loss: 3.132152 eta: 2 days, 19:34:15 batch_cost: 1.0331 data_cost: 0.0042 ips: 38.7173 images/s
[07/26 11:49:28] ppdet.engine INFO: Epoch: [3] [660/732] learning_rate: 0.199977 loss_vfl: 1.658480 loss_bbox: 0.948588 loss_dfl: 0.615276 loss: 3.222344 eta: 2 days, 19:31:06 batch_cost: 1.0119 data_cost: 0.0054 ips: 39.5278 images/s
[07/26 11:49:55] ppdet.engine INFO: Epoch: [3] [680/732] learning_rate: 0.199976 loss_vfl: 1.643969 loss_bbox: 0.943895 loss_dfl: 0.619918 loss: 3.196266 eta: 2 days, 19:29:57 batch_cost: 1.0906 data_cost: 0.0066 ips: 36.6758 images/s
[07/26 11:50:22] ppdet.engine INFO: Epoch: [3] [700/732] learning_rate: 0.199976 loss_vfl: 1.642347 loss_bbox: 0.931669 loss_dfl: 0.614612 loss: 3.245607 eta: 2 days, 19:30:20 batch_cost: 1.1517 data_cost: 0.0066 ips: 34.7322 images/s
[07/26 11:50:47] ppdet.engine INFO: Epoch: [3] [720/732] learning_rate: 0.199975 loss_vfl: 1.617467 loss_bbox: 0.920600 loss_dfl: 0.615192 loss: 3.214270 eta: 2 days, 19:29:12 batch_cost: 1.0911 data_cost: 0.0075 ips: 36.6611 images/s
[07/26 11:51:07] ppdet.engine INFO: Epoch: [4] [  0/732] learning_rate: 0.199975 loss_vfl: 1.601352 loss_bbox: 0.905393 loss_dfl: 0.585510 loss: 3.068662 eta: 2 days, 19:34:39 batch_cost: 1.3059 data_cost: 0.2956 ips: 30.6299 images/s
[07/26 11:51:37] ppdet.engine INFO: Epoch: [4] [ 20/732] learning_rate: 0.199974 loss_vfl: 1.696640 loss_bbox: 0.940716 loss_dfl: 0.613483 loss: 3.256774 eta: 2 days, 19:36:23 batch_cost: 1.2085 data_cost: 0.0051 ips: 33.0996 images/s
[07/26 11:52:05] ppdet.engine INFO: Epoch: [4] [ 40/732] learning_rate: 0.199973 loss_vfl: 1.594500 loss_bbox: 0.933544 loss_dfl: 0.611590 loss: 3.180720 eta: 2 days, 19:37:09 batch_cost: 1.1707 data_cost: 0.0016 ips: 34.1685 images/s
[07/26 11:52:31] ppdet.engine INFO: Epoch: [4] [ 60/732] learning_rate: 0.199973 loss_vfl: 1.590535 loss_bbox: 0.927983 loss_dfl: 0.601778 loss: 3.116794 eta: 2 days, 19:35:59 batch_cost: 1.0907 data_cost: 0.0049 ips: 36.6742 images/s
[07/26 11:52:58] ppdet.engine INFO: Epoch: [4] [ 80/732] learning_rate: 0.199972 loss_vfl: 1.599454 loss_bbox: 0.937400 loss_dfl: 0.604662 loss: 3.134204 eta: 2 days, 19:36:29 batch_cost: 1.1599 data_cost: 0.0117 ips: 34.4861 images/s
[07/26 11:53:25] ppdet.engine INFO: Epoch: [4] [100/732] learning_rate: 0.199971 loss_vfl: 1.703881 loss_bbox: 0.955726 loss_dfl: 0.622752 loss: 3.295201 eta: 2 days, 19:35:13 batch_cost: 1.0864 data_cost: 0.0104 ips: 36.8201 images/s
[07/26 11:53:52] ppdet.engine INFO: Epoch: [4] [120/732] learning_rate: 0.199970 loss_vfl: 1.659149 loss_bbox: 0.940428 loss_dfl: 0.608314 loss: 3.203569 eta: 2 days, 19:34:28 batch_cost: 1.1080 data_cost: 0.0107 ips: 36.0998 images/s
[07/26 11:54:17] ppdet.engine INFO: Epoch: [4] [140/732] learning_rate: 0.199970 loss_vfl: 1.640444 loss_bbox: 0.950275 loss_dfl: 0.608678 loss: 3.162511 eta: 2 days, 19:32:00 batch_cost: 1.0342 data_cost: 0.0075 ips: 38.6790 images/s
[07/26 11:54:44] ppdet.engine INFO: Epoch: [4] [160/732] learning_rate: 0.199969 loss_vfl: 1.677301 loss_bbox: 0.935723 loss_dfl: 0.616799 loss: 3.240572 eta: 2 days, 19:29:39 batch_cost: 1.0381 data_cost: 0.0181 ips: 38.5308 images/s
[07/26 11:55:12] ppdet.engine INFO: Epoch: [4] [180/732] learning_rate: 0.199968 loss_vfl: 1.666041 loss_bbox: 0.983060 loss_dfl: 0.631951 loss: 3.305034 eta: 2 days, 19:31:14 batch_cost: 1.2069 data_cost: 0.0044 ips: 33.1417 images/s
[07/26 11:55:39] ppdet.engine INFO: Epoch: [4] [200/732] learning_rate: 0.199967 loss_vfl: 1.605374 loss_bbox: 0.892013 loss_dfl: 0.584220 loss: 3.097188 eta: 2 days, 19:29:54 batch_cost: 1.0812 data_cost: 0.0074 ips: 36.9961 images/s
[07/26 11:56:05] ppdet.engine INFO: Epoch: [4] [220/732] learning_rate: 0.199967 loss_vfl: 1.567195 loss_bbox: 0.896662 loss_dfl: 0.580040 loss: 3.038602 eta: 2 days, 19:29:13 batch_cost: 1.1089 data_cost: 0.0051 ips: 36.0727 images/s
[07/26 11:56:32] ppdet.engine INFO: Epoch: [4] [240/732] learning_rate: 0.199966 loss_vfl: 1.667757 loss_bbox: 0.982821 loss_dfl: 0.642463 loss: 3.318379 eta: 2 days, 19:27:45 batch_cost: 1.0740 data_cost: 0.0126 ips: 37.2454 images/s
[07/26 11:57:00] ppdet.engine INFO: Epoch: [4] [260/732] learning_rate: 0.199965 loss_vfl: 1.684423 loss_bbox: 0.965788 loss_dfl: 0.637246 loss: 3.333206 eta: 2 days, 19:27:55 batch_cost: 1.1467 data_cost: 0.0028 ips: 34.8825 images/s
[07/26 11:57:27] ppdet.engine INFO: Epoch: [4] [280/732] learning_rate: 0.199964 loss_vfl: 1.625288 loss_bbox: 0.940518 loss_dfl: 0.611500 loss: 3.184725 eta: 2 days, 19:26:46 batch_cost: 1.0876 data_cost: 0.0034 ips: 36.7792 images/s
[07/26 11:57:53] ppdet.engine INFO: Epoch: [4] [300/732] learning_rate: 0.199963 loss_vfl: 1.549850 loss_bbox: 0.879916 loss_dfl: 0.581466 loss: 3.020374 eta: 2 days, 19:27:56 batch_cost: 1.1905 data_cost: 0.0032 ips: 33.5986 images/s
[07/26 11:58:21] ppdet.engine INFO: Epoch: [4] [320/732] learning_rate: 0.199962 loss_vfl: 1.610190 loss_bbox: 0.946706 loss_dfl: 0.614040 loss: 3.141796 eta: 2 days, 19:28:01 batch_cost: 1.1436 data_cost: 0.0100 ips: 34.9786 images/s
[07/26 11:58:48] ppdet.engine INFO: Epoch: [4] [340/732] learning_rate: 0.199962 loss_vfl: 1.565978 loss_bbox: 0.883126 loss_dfl: 0.580231 loss: 3.035124 eta: 2 days, 19:27:27 batch_cost: 1.1136 data_cost: 0.0034 ips: 35.9207 images/s
[07/26 11:59:14] ppdet.engine INFO: Epoch: [4] [360/732] learning_rate: 0.199961 loss_vfl: 1.546318 loss_bbox: 0.878442 loss_dfl: 0.571409 loss: 2.977554 eta: 2 days, 19:25:54 batch_cost: 1.0689 data_cost: 0.0037 ips: 37.4214 images/s
[07/26 11:59:40] ppdet.engine INFO: Epoch: [4] [380/732] learning_rate: 0.199960 loss_vfl: 1.619812 loss_bbox: 0.915144 loss_dfl: 0.594171 loss: 3.126012 eta: 2 days, 19:25:29 batch_cost: 1.1208 data_cost: 0.0044 ips: 35.6880 images/s
[07/26 12:00:07] ppdet.engine INFO: Epoch: [4] [400/732] learning_rate: 0.199959 loss_vfl: 1.600539 loss_bbox: 0.913379 loss_dfl: 0.596582 loss: 3.083378 eta: 2 days, 19:25:25 batch_cost: 1.1363 data_cost: 0.0058 ips: 35.2017 images/s
[07/26 12:00:33] ppdet.engine INFO: Epoch: [4] [420/732] learning_rate: 0.199958 loss_vfl: 1.607773 loss_bbox: 0.914976 loss_dfl: 0.597767 loss: 3.153368 eta: 2 days, 19:25:18 batch_cost: 1.1344 data_cost: 0.0074 ips: 35.2605 images/s
[07/26 12:01:00] ppdet.engine INFO: Epoch: [4] [440/732] learning_rate: 0.199957 loss_vfl: 1.597840 loss_bbox: 0.930204 loss_dfl: 0.613701 loss: 3.195375 eta: 2 days, 19:24:40 batch_cost: 1.1101 data_cost: 0.0124 ips: 36.0337 images/s
[07/26 12:01:28] ppdet.engine INFO: Epoch: [4] [460/732] learning_rate: 0.199956 loss_vfl: 1.606175 loss_bbox: 0.872072 loss_dfl: 0.583530 loss: 3.044202 eta: 2 days, 19:25:23 batch_cost: 1.1732 data_cost: 0.0060 ips: 34.0942 images/s
[07/26 12:01:56] ppdet.engine INFO: Epoch: [4] [480/732] learning_rate: 0.199955 loss_vfl: 1.640378 loss_bbox: 0.935892 loss_dfl: 0.617626 loss: 3.216581 eta: 2 days, 19:26:38 batch_cost: 1.1995 data_cost: 0.0064 ips: 33.3461 images/s
[07/26 12:02:22] ppdet.engine INFO: Epoch: [4] [500/732] learning_rate: 0.199954 loss_vfl: 1.588715 loss_bbox: 0.917252 loss_dfl: 0.602237 loss: 3.093948 eta: 2 days, 19:27:19 batch_cost: 1.1734 data_cost: 0.0033 ips: 34.0884 images/s
[07/26 12:02:48] ppdet.engine INFO: Epoch: [4] [520/732] learning_rate: 0.199954 loss_vfl: 1.608313 loss_bbox: 0.910691 loss_dfl: 0.600515 loss: 3.145654 eta: 2 days, 19:25:45 batch_cost: 1.0668 data_cost: 0.0016 ips: 37.4958 images/s
[07/26 12:03:16] ppdet.engine INFO: Epoch: [4] [540/732] learning_rate: 0.199953 loss_vfl: 1.608575 loss_bbox: 0.952227 loss_dfl: 0.612258 loss: 3.154134 eta: 2 days, 19:26:09 batch_cost: 1.1603 data_cost: 0.0155 ips: 34.4753 images/s
[07/26 12:03:45] ppdet.engine INFO: Epoch: [4] [560/732] learning_rate: 0.199952 loss_vfl: 1.559515 loss_bbox: 0.917179 loss_dfl: 0.585925 loss: 3.013199 eta: 2 days, 19:27:09 batch_cost: 1.1895 data_cost: 0.0024 ips: 33.6279 images/s
[07/26 12:04:10] ppdet.engine INFO: Epoch: [4] [580/732] learning_rate: 0.199951 loss_vfl: 1.601939 loss_bbox: 0.926652 loss_dfl: 0.605368 loss: 3.125545 eta: 2 days, 19:25:19 batch_cost: 1.0527 data_cost: 0.0030 ips: 37.9983 images/s
[07/26 12:04:37] ppdet.engine INFO: Epoch: [4] [600/732] learning_rate: 0.199950 loss_vfl: 1.601756 loss_bbox: 0.922866 loss_dfl: 0.606447 loss: 3.134838 eta: 2 days, 19:23:14 batch_cost: 1.0391 data_cost: 0.0051 ips: 38.4957 images/s
[07/26 12:05:06] ppdet.engine INFO: Epoch: [4] [620/732] learning_rate: 0.199949 loss_vfl: 1.608819 loss_bbox: 0.923540 loss_dfl: 0.601102 loss: 3.157605 eta: 2 days, 19:23:07 batch_cost: 1.1355 data_cost: 0.0054 ips: 35.2274 images/s
[07/26 12:05:32] ppdet.engine INFO: Epoch: [4] [640/732] learning_rate: 0.199948 loss_vfl: 1.671935 loss_bbox: 0.941665 loss_dfl: 0.616556 loss: 3.249933 eta: 2 days, 19:22:53 batch_cost: 1.1298 data_cost: 0.0069 ips: 35.4051 images/s
[07/26 12:05:59] ppdet.engine INFO: Epoch: [4] [660/732] learning_rate: 0.199947 loss_vfl: 1.598360 loss_bbox: 0.913928 loss_dfl: 0.589712 loss: 3.109416 eta: 2 days, 19:22:00 batch_cost: 1.0975 data_cost: 0.0040 ips: 36.4459 images/s
[07/26 12:06:25] ppdet.engine INFO: Epoch: [4] [680/732] learning_rate: 0.199946 loss_vfl: 1.588530 loss_bbox: 0.927435 loss_dfl: 0.599667 loss: 3.174282 eta: 2 days, 19:18:25 batch_cost: 0.9625 data_cost: 0.0054 ips: 41.5575 images/s
[07/26 12:06:52] ppdet.engine INFO: Epoch: [4] [700/732] learning_rate: 0.199945 loss_vfl: 1.639765 loss_bbox: 0.943370 loss_dfl: 0.624447 loss: 3.191237 eta: 2 days, 19:17:29 batch_cost: 1.0934 data_cost: 0.0050 ips: 36.5844 images/s
[07/26 12:07:17] ppdet.engine INFO: Epoch: [4] [720/732] learning_rate: 0.199944 loss_vfl: 1.510901 loss_bbox: 0.857448 loss_dfl: 0.558735 loss: 2.917540 eta: 2 days, 19:15:40 batch_cost: 1.0484 data_cost: 0.0049 ips: 38.1543 images/s
[07/26 12:07:42] ppdet.engine INFO: Epoch: [5] [  0/732] learning_rate: 0.199943 loss_vfl: 1.570523 loss_bbox: 0.916545 loss_dfl: 0.593633 loss: 3.117189 eta: 2 days, 19:23:58 batch_cost: 1.5276 data_cost: 0.2861 ips: 26.1849 images/s
[07/26 12:08:09] ppdet.engine INFO: Epoch: [5] [ 20/732] learning_rate: 0.199942 loss_vfl: 1.581366 loss_bbox: 0.895003 loss_dfl: 0.593537 loss: 3.083846 eta: 2 days, 19:24:10 batch_cost: 1.1529 data_cost: 0.0034 ips: 34.6950 images/s
[07/26 12:08:36] ppdet.engine INFO: Epoch: [5] [ 40/732] learning_rate: 0.199941 loss_vfl: 1.600144 loss_bbox: 0.939464 loss_dfl: 0.603832 loss: 3.129894 eta: 2 days, 19:23:57 batch_cost: 1.1320 data_cost: 0.0062 ips: 35.3354 images/s
[07/26 12:09:04] ppdet.engine INFO: Epoch: [5] [ 60/732] learning_rate: 0.199940 loss_vfl: 1.611861 loss_bbox: 0.908991 loss_dfl: 0.598403 loss: 3.117536 eta: 2 days, 19:23:43 batch_cost: 1.1314 data_cost: 0.0247 ips: 35.3555 images/s
[07/26 12:09:31] ppdet.engine INFO: Epoch: [5] [ 80/732] learning_rate: 0.199939 loss_vfl: 1.653431 loss_bbox: 0.923290 loss_dfl: 0.600271 loss: 3.202309 eta: 2 days, 19:23:20 batch_cost: 1.1233 data_cost: 0.0085 ips: 35.6092 images/s
[07/26 12:09:57] ppdet.engine INFO: Epoch: [5] [100/732] learning_rate: 0.199938 loss_vfl: 1.603785 loss_bbox: 0.904610 loss_dfl: 0.588559 loss: 3.092162 eta: 2 days, 19:22:34 batch_cost: 1.1035 data_cost: 0.0079 ips: 36.2491 images/s
[07/26 12:10:23] ppdet.engine INFO: Epoch: [5] [120/732] learning_rate: 0.199937 loss_vfl: 1.632612 loss_bbox: 0.917184 loss_dfl: 0.594027 loss: 3.136363 eta: 2 days, 19:20:55 batch_cost: 1.0566 data_cost: 0.0032 ips: 37.8590 images/s
[07/26 12:10:50] ppdet.engine INFO: Epoch: [5] [140/732] learning_rate: 0.199936 loss_vfl: 1.586571 loss_bbox: 0.890302 loss_dfl: 0.579576 loss: 3.048970 eta: 2 days, 19:20:16 batch_cost: 1.1088 data_cost: 0.0039 ips: 36.0754 images/s
[07/26 12:11:16] ppdet.engine INFO: Epoch: [5] [160/732] learning_rate: 0.199935 loss_vfl: 1.593156 loss_bbox: 0.874599 loss_dfl: 0.589533 loss: 3.062384 eta: 2 days, 19:19:43 batch_cost: 1.1144 data_cost: 0.0041 ips: 35.8951 images/s
[07/26 12:11:41] ppdet.engine INFO: Epoch: [5] [180/732] learning_rate: 0.199933 loss_vfl: 1.596003 loss_bbox: 0.928218 loss_dfl: 0.604498 loss: 3.120777 eta: 2 days, 19:17:06 batch_cost: 1.0034 data_cost: 0.0073 ips: 39.8625 images/s
[07/26 12:12:09] ppdet.engine INFO: Epoch: [5] [200/732] learning_rate: 0.199932 loss_vfl: 1.624136 loss_bbox: 0.906451 loss_dfl: 0.602270 loss: 3.151971 eta: 2 days, 19:18:49 batch_cost: 1.2349 data_cost: 0.0032 ips: 32.3904 images/s
[07/26 12:12:35] ppdet.engine INFO: Epoch: [5] [220/732] learning_rate: 0.199931 loss_vfl: 1.585055 loss_bbox: 0.919575 loss_dfl: 0.590884 loss: 3.077929 eta: 2 days, 19:17:34 batch_cost: 1.0758 data_cost: 0.0156 ips: 37.1824 images/s
[07/26 12:13:03] ppdet.engine INFO: Epoch: [5] [240/732] learning_rate: 0.199930 loss_vfl: 1.568488 loss_bbox: 0.906306 loss_dfl: 0.592691 loss: 3.088139 eta: 2 days, 19:17:00 batch_cost: 1.1124 data_cost: 0.0066 ips: 35.9575 images/s
[07/26 12:13:29] ppdet.engine INFO: Epoch: [5] [260/732] learning_rate: 0.199929 loss_vfl: 1.527589 loss_bbox: 0.876506 loss_dfl: 0.581352 loss: 2.974230 eta: 2 days, 19:16:35 batch_cost: 1.1207 data_cost: 0.0060 ips: 35.6935 images/s
[07/26 12:13:56] ppdet.engine INFO: Epoch: [5] [280/732] learning_rate: 0.199928 loss_vfl: 1.649601 loss_bbox: 0.917085 loss_dfl: 0.603168 loss: 3.141207 eta: 2 days, 19:17:24 batch_cost: 1.1887 data_cost: 0.0039 ips: 33.6499 images/s
[07/26 12:14:22] ppdet.engine INFO: Epoch: [5] [300/732] learning_rate: 0.199927 loss_vfl: 1.563800 loss_bbox: 0.896002 loss_dfl: 0.585280 loss: 3.061808 eta: 2 days, 19:15:20 batch_cost: 1.0299 data_cost: 0.0059 ips: 38.8372 images/s
[07/26 12:14:47] ppdet.engine INFO: Epoch: [5] [320/732] learning_rate: 0.199925 loss_vfl: 1.568815 loss_bbox: 0.903521 loss_dfl: 0.589897 loss: 3.069409 eta: 2 days, 19:14:56 batch_cost: 1.1218 data_cost: 0.0062 ips: 35.6586 images/s
[07/26 12:15:16] ppdet.engine INFO: Epoch: [5] [340/732] learning_rate: 0.199924 loss_vfl: 1.577767 loss_bbox: 0.915451 loss_dfl: 0.591135 loss: 3.107659 eta: 2 days, 19:16:21 batch_cost: 1.2217 data_cost: 0.0058 ips: 32.7410 images/s
[07/26 12:15:42] ppdet.engine INFO: Epoch: [5] [360/732] learning_rate: 0.199923 loss_vfl: 1.583341 loss_bbox: 0.888853 loss_dfl: 0.587484 loss: 3.065326 eta: 2 days, 19:16:15 batch_cost: 1.1386 data_cost: 0.0030 ips: 35.1309 images/s
[07/26 12:16:09] ppdet.engine INFO: Epoch: [5] [380/732] learning_rate: 0.199922 loss_vfl: 1.550632 loss_bbox: 0.885790 loss_dfl: 0.578932 loss: 3.034453 eta: 2 days, 19:16:15 batch_cost: 1.1449 data_cost: 0.0094 ips: 34.9376 images/s
[07/26 12:16:36] ppdet.engine INFO: Epoch: [5] [400/732] learning_rate: 0.199921 loss_vfl: 1.577505 loss_bbox: 0.907987 loss_dfl: 0.598553 loss: 3.112220 eta: 2 days, 19:15:48 batch_cost: 1.1194 data_cost: 0.0079 ips: 35.7323 images/s
[07/26 12:17:02] ppdet.engine INFO: Epoch: [5] [420/732] learning_rate: 0.199919 loss_vfl: 1.654572 loss_bbox: 0.949063 loss_dfl: 0.620502 loss: 3.232275 eta: 2 days, 19:14:20 batch_cost: 1.0615 data_cost: 0.0066 ips: 37.6813 images/s
[07/26 12:17:29] ppdet.engine INFO: Epoch: [5] [440/732] learning_rate: 0.199918 loss_vfl: 1.557824 loss_bbox: 0.882856 loss_dfl: 0.574145 loss: 3.014379 eta: 2 days, 19:13:38 batch_cost: 1.1044 data_cost: 0.0052 ips: 36.2183 images/s
[07/26 12:17:54] ppdet.engine INFO: Epoch: [5] [460/732] learning_rate: 0.199917 loss_vfl: 1.646233 loss_bbox: 0.916583 loss_dfl: 0.601321 loss: 3.156884 eta: 2 days, 19:10:40 batch_cost: 0.9738 data_cost: 0.0059 ips: 41.0767 images/s
[07/26 12:18:21] ppdet.engine INFO: Epoch: [5] [480/732] learning_rate: 0.199916 loss_vfl: 1.559291 loss_bbox: 0.895126 loss_dfl: 0.588073 loss: 3.037347 eta: 2 days, 19:10:28 batch_cost: 1.1330 data_cost: 0.0059 ips: 35.3037 images/s
[07/26 12:18:47] ppdet.engine INFO: Epoch: [5] [500/732] learning_rate: 0.199914 loss_vfl: 1.595062 loss_bbox: 0.927557 loss_dfl: 0.610645 loss: 3.164290 eta: 2 days, 19:10:07 batch_cost: 1.1239 data_cost: 0.0092 ips: 35.5907 images/s
[07/26 12:19:12] ppdet.engine INFO: Epoch: [5] [520/732] learning_rate: 0.199913 loss_vfl: 1.558379 loss_bbox: 0.925625 loss_dfl: 0.608400 loss: 3.106408 eta: 2 days, 19:07:56 batch_cost: 1.0163 data_cost: 0.0035 ips: 39.3584 images/s
[07/26 12:19:40] ppdet.engine INFO: Epoch: [5] [540/732] learning_rate: 0.199912 loss_vfl: 1.582552 loss_bbox: 0.923648 loss_dfl: 0.594694 loss: 3.114659 eta: 2 days, 19:08:31 batch_cost: 1.1785 data_cost: 0.0046 ips: 33.9422 images/s
[07/26 12:20:04] ppdet.engine INFO: Epoch: [5] [560/732] learning_rate: 0.199910 loss_vfl: 1.530605 loss_bbox: 0.870322 loss_dfl: 0.575730 loss: 3.004674 eta: 2 days, 19:06:33 batch_cost: 1.0279 data_cost: 0.0056 ips: 38.9140 images/s
[07/26 12:20:31] ppdet.engine INFO: Epoch: [5] [580/732] learning_rate: 0.199909 loss_vfl: 1.579578 loss_bbox: 0.890092 loss_dfl: 0.585266 loss: 3.048702 eta: 2 days, 19:07:06 batch_cost: 1.1769 data_cost: 0.0081 ips: 33.9869 images/s
[07/26 12:20:57] ppdet.engine INFO: Epoch: [5] [600/732] learning_rate: 0.199908 loss_vfl: 1.551969 loss_bbox: 0.899598 loss_dfl: 0.587509 loss: 3.027091 eta: 2 days, 19:05:49 batch_cost: 1.0679 data_cost: 0.0052 ips: 37.4570 images/s
[07/26 12:21:24] ppdet.engine INFO: Epoch: [5] [620/732] learning_rate: 0.199906 loss_vfl: 1.573060 loss_bbox: 0.898416 loss_dfl: 0.589616 loss: 3.071221 eta: 2 days, 19:04:41 batch_cost: 1.0759 data_cost: 0.0084 ips: 37.1778 images/s
[07/26 12:21:48] ppdet.engine INFO: Epoch: [5] [640/732] learning_rate: 0.199905 loss_vfl: 1.567467 loss_bbox: 0.907074 loss_dfl: 0.599349 loss: 3.106466 eta: 2 days, 19:02:04 batch_cost: 0.9872 data_cost: 0.0052 ips: 40.5167 images/s
[07/26 12:22:15] ppdet.engine INFO: Epoch: [5] [660/732] learning_rate: 0.199904 loss_vfl: 1.632225 loss_bbox: 0.893944 loss_dfl: 0.585867 loss: 3.106362 eta: 2 days, 19:02:29 batch_cost: 1.1688 data_cost: 0.0043 ips: 34.2225 images/s
[07/26 12:22:42] ppdet.engine INFO: Epoch: [5] [680/732] learning_rate: 0.199902 loss_vfl: 1.552591 loss_bbox: 0.890671 loss_dfl: 0.582230 loss: 3.037334 eta: 2 days, 19:02:20 batch_cost: 1.1343 data_cost: 0.0045 ips: 35.2633 images/s
[07/26 12:23:10] ppdet.engine INFO: Epoch: [5] [700/732] learning_rate: 0.199901 loss_vfl: 1.608836 loss_bbox: 0.924503 loss_dfl: 0.599313 loss: 3.135682 eta: 2 days, 19:02:56 batch_cost: 1.1802 data_cost: 0.0073 ips: 33.8917 images/s
[07/26 12:23:35] ppdet.engine INFO: Epoch: [5] [720/732] learning_rate: 0.199900 loss_vfl: 1.535457 loss_bbox: 0.888335 loss_dfl: 0.584959 loss: 2.959733 eta: 2 days, 19:01:30 batch_cost: 1.0567 data_cost: 0.0076 ips: 37.8528 images/s
[07/26 12:23:58] ppdet.engine INFO: Epoch: [6] [  0/732] learning_rate: 0.199899 loss_vfl: 1.558272 loss_bbox: 0.882301 loss_dfl: 0.582060 loss: 3.026209 eta: 2 days, 19:07:30 batch_cost: 1.4484 data_cost: 0.5542 ips: 27.6169 images/s
[07/26 12:24:25] ppdet.engine INFO: Epoch: [6] [ 20/732] learning_rate: 0.199897 loss_vfl: 1.590303 loss_bbox: 0.906176 loss_dfl: 0.599154 loss: 3.084272 eta: 2 days, 19:06:46 batch_cost: 1.1006 data_cost: 0.0047 ips: 36.3433 images/s
[07/26 12:24:53] ppdet.engine INFO: Epoch: [6] [ 40/732] learning_rate: 0.199896 loss_vfl: 1.525526 loss_bbox: 0.926194 loss_dfl: 0.596110 loss: 3.040484 eta: 2 days, 19:07:36 batch_cost: 1.1970 data_cost: 0.0030 ips: 33.4163 images/s
[07/26 12:25:21] ppdet.engine INFO: Epoch: [6] [ 60/732] learning_rate: 0.199895 loss_vfl: 1.494924 loss_bbox: 0.876580 loss_dfl: 0.573052 loss: 2.939821 eta: 2 days, 19:07:40 batch_cost: 1.1506 data_cost: 0.0073 ips: 34.7650 images/s
[07/26 12:25:47] ppdet.engine INFO: Epoch: [6] [ 80/732] learning_rate: 0.199893 loss_vfl: 1.597552 loss_bbox: 0.905433 loss_dfl: 0.590416 loss: 3.099431 eta: 2 days, 19:07:25 batch_cost: 1.1310 data_cost: 0.0043 ips: 35.3666 images/s
[07/26 12:26:13] ppdet.engine INFO: Epoch: [6] [100/732] learning_rate: 0.199892 loss_vfl: 1.563160 loss_bbox: 0.868773 loss_dfl: 0.569797 loss: 3.027487 eta: 2 days, 19:06:07 batch_cost: 1.0650 data_cost: 0.0053 ips: 37.5591 images/s
[07/26 12:26:41] ppdet.engine INFO: Epoch: [6] [120/732] learning_rate: 0.199890 loss_vfl: 1.594462 loss_bbox: 0.894339 loss_dfl: 0.597305 loss: 3.121847 eta: 2 days, 19:06:22 batch_cost: 1.1626 data_cost: 0.0097 ips: 34.4047 images/s
[07/26 12:27:09] ppdet.engine INFO: Epoch: [6] [140/732] learning_rate: 0.199889 loss_vfl: 1.611852 loss_bbox: 0.911374 loss_dfl: 0.603344 loss: 3.099445 eta: 2 days, 19:06:36 batch_cost: 1.1613 data_cost: 0.0060 ips: 34.4437 images/s
[07/26 12:27:36] ppdet.engine INFO: Epoch: [6] [160/732] learning_rate: 0.199888 loss_vfl: 1.540937 loss_bbox: 0.882333 loss_dfl: 0.578797 loss: 3.008541 eta: 2 days, 19:08:00 batch_cost: 1.2362 data_cost: 0.0054 ips: 32.3577 images/s
[07/26 12:28:02] ppdet.engine INFO: Epoch: [6] [180/732] learning_rate: 0.199886 loss_vfl: 1.565661 loss_bbox: 0.857617 loss_dfl: 0.564306 loss: 2.958851 eta: 2 days, 19:07:46 batch_cost: 1.1325 data_cost: 0.0053 ips: 35.3189 images/s
[07/26 12:28:29] ppdet.engine INFO: Epoch: [6] [200/732] learning_rate: 0.199885 loss_vfl: 1.612852 loss_bbox: 0.905312 loss_dfl: 0.595141 loss: 3.115688 eta: 2 days, 19:08:15 batch_cost: 1.1793 data_cost: 0.0040 ips: 33.9198 images/s
[07/26 12:28:55] ppdet.engine INFO: Epoch: [6] [220/732] learning_rate: 0.199883 loss_vfl: 1.544465 loss_bbox: 0.869347 loss_dfl: 0.573164 loss: 2.969149 eta: 2 days, 19:07:07 batch_cost: 1.0748 data_cost: 0.0085 ips: 37.2150 images/s
[07/26 12:29:23] ppdet.engine INFO: Epoch: [6] [240/732] learning_rate: 0.199882 loss_vfl: 1.523694 loss_bbox: 0.903570 loss_dfl: 0.587582 loss: 3.016631 eta: 2 days, 19:06:49 batch_cost: 1.1290 data_cost: 0.0102 ips: 35.4295 images/s
[07/26 12:29:49] ppdet.engine INFO: Epoch: [6] [260/732] learning_rate: 0.199880 loss_vfl: 1.555188 loss_bbox: 0.871535 loss_dfl: 0.573829 loss: 2.970540 eta: 2 days, 19:06:10 batch_cost: 1.1060 data_cost: 0.0044 ips: 36.1650 images/s
[07/26 12:30:16] ppdet.engine INFO: Epoch: [6] [280/732] learning_rate: 0.199879 loss_vfl: 1.572518 loss_bbox: 0.871571 loss_dfl: 0.584434 loss: 3.028535 eta: 2 days, 19:06:33 batch_cost: 1.1735 data_cost: 0.0088 ips: 34.0854 images/s
[07/26 12:30:42] ppdet.engine INFO: Epoch: [6] [300/732] learning_rate: 0.199877 loss_vfl: 1.626046 loss_bbox: 0.927823 loss_dfl: 0.605118 loss: 3.178854 eta: 2 days, 19:05:36 batch_cost: 1.0864 data_cost: 0.0041 ips: 36.8181 images/s
[07/26 12:31:10] ppdet.engine INFO: Epoch: [6] [320/732] learning_rate: 0.199876 loss_vfl: 1.563209 loss_bbox: 0.900501 loss_dfl: 0.581125 loss: 3.049559 eta: 2 days, 19:05:52 batch_cost: 1.1656 data_cost: 0.0023 ips: 34.3160 images/s
[07/26 12:31:36] ppdet.engine INFO: Epoch: [6] [340/732] learning_rate: 0.199874 loss_vfl: 1.512633 loss_bbox: 0.876590 loss_dfl: 0.569453 loss: 2.932412 eta: 2 days, 19:05:20 batch_cost: 1.1135 data_cost: 0.0064 ips: 35.9216 images/s
[07/26 12:32:02] ppdet.engine INFO: Epoch: [6] [360/732] learning_rate: 0.199872 loss_vfl: 1.534541 loss_bbox: 0.864906 loss_dfl: 0.575739 loss: 2.983366 eta: 2 days, 19:04:00 batch_cost: 1.0606 data_cost: 0.0034 ips: 37.7143 images/s
[07/26 12:32:29] ppdet.engine INFO: Epoch: [6] [380/732] learning_rate: 0.199871 loss_vfl: 1.529613 loss_bbox: 0.903290 loss_dfl: 0.595339 loss: 3.027517 eta: 2 days, 19:03:49 batch_cost: 1.1370 data_cost: 0.0018 ips: 35.1802 images/s
[07/26 12:32:55] ppdet.engine INFO: Epoch: [6] [400/732] learning_rate: 0.199869 loss_vfl: 1.584072 loss_bbox: 0.883874 loss_dfl: 0.588285 loss: 3.055162 eta: 2 days, 19:03:33 batch_cost: 1.1314 data_cost: 0.0038 ips: 35.3556 images/s
[07/26 12:33:22] ppdet.engine INFO: Epoch: [6] [420/732] learning_rate: 0.199868 loss_vfl: 1.553346 loss_bbox: 0.868991 loss_dfl: 0.579806 loss: 3.007798 eta: 2 days, 19:03:02 batch_cost: 1.1133 data_cost: 0.0071 ips: 35.9282 images/s
[07/26 12:33:49] ppdet.engine INFO: Epoch: [6] [440/732] learning_rate: 0.199866 loss_vfl: 1.555211 loss_bbox: 0.842764 loss_dfl: 0.571849 loss: 2.980778 eta: 2 days, 19:02:00 batch_cost: 1.0803 data_cost: 0.0054 ips: 37.0282 images/s
[07/26 12:34:15] ppdet.engine INFO: Epoch: [6] [460/732] learning_rate: 0.199865 loss_vfl: 1.551843 loss_bbox: 0.906229 loss_dfl: 0.592284 loss: 3.005576 eta: 2 days, 19:01:02 batch_cost: 1.0832 data_cost: 0.0044 ips: 36.9281 images/s
[07/26 12:34:42] ppdet.engine INFO: Epoch: [6] [480/732] learning_rate: 0.199863 loss_vfl: 1.421672 loss_bbox: 0.841246 loss_dfl: 0.546518 loss: 2.799255 eta: 2 days, 19:01:25 batch_cost: 1.1751 data_cost: 0.0104 ips: 34.0401 images/s
[07/26 12:35:09] ppdet.engine INFO: Epoch: [6] [500/732] learning_rate: 0.199861 loss_vfl: 1.577911 loss_bbox: 0.930538 loss_dfl: 0.607176 loss: 3.137178 eta: 2 days, 19:01:03 batch_cost: 1.1244 data_cost: 0.0061 ips: 35.5753 images/s
[07/26 12:35:34] ppdet.engine INFO: Epoch: [6] [520/732] learning_rate: 0.199860 loss_vfl: 1.613002 loss_bbox: 0.906376 loss_dfl: 0.606892 loss: 3.123008 eta: 2 days, 18:58:57 batch_cost: 1.0044 data_cost: 0.0027 ips: 39.8265 images/s
[07/26 12:36:01] ppdet.engine INFO: Epoch: [6] [540/732] learning_rate: 0.199858 loss_vfl: 1.561308 loss_bbox: 0.883965 loss_dfl: 0.574969 loss: 3.012990 eta: 2 days, 18:59:00 batch_cost: 1.1536 data_cost: 0.0043 ips: 34.6752 images/s
[07/26 12:36:27] ppdet.engine INFO: Epoch: [6] [560/732] learning_rate: 0.199857 loss_vfl: 1.537524 loss_bbox: 0.895308 loss_dfl: 0.577570 loss: 3.015042 eta: 2 days, 18:58:06 batch_cost: 1.0866 data_cost: 0.0070 ips: 36.8133 images/s
[07/26 12:36:54] ppdet.engine INFO: Epoch: [6] [580/732] learning_rate: 0.199855 loss_vfl: 1.585430 loss_bbox: 0.892652 loss_dfl: 0.601669 loss: 3.116891 eta: 2 days, 18:58:20 batch_cost: 1.1648 data_cost: 0.0066 ips: 34.3411 images/s
[07/26 12:37:20] ppdet.engine INFO: Epoch: [6] [600/732] learning_rate: 0.199853 loss_vfl: 1.536134 loss_bbox: 0.858744 loss_dfl: 0.574854 loss: 2.989409 eta: 2 days, 18:57:51 batch_cost: 1.1158 data_cost: 0.0063 ips: 35.8491 images/s
[07/26 12:37:46] ppdet.engine INFO: Epoch: [6] [620/732] learning_rate: 0.199852 loss_vfl: 1.571169 loss_bbox: 0.912434 loss_dfl: 0.596696 loss: 3.064180 eta: 2 days, 18:57:10 batch_cost: 1.1024 data_cost: 0.0024 ips: 36.2838 images/s
[07/26 12:38:14] ppdet.engine INFO: Epoch: [6] [640/732] learning_rate: 0.199850 loss_vfl: 1.561256 loss_bbox: 0.876767 loss_dfl: 0.581266 loss: 3.010552 eta: 2 days, 18:57:32 batch_cost: 1.1756 data_cost: 0.0048 ips: 34.0259 images/s
[07/26 12:38:42] ppdet.engine INFO: Epoch: [6] [660/732] learning_rate: 0.199848 loss_vfl: 1.565259 loss_bbox: 0.886349 loss_dfl: 0.590292 loss: 3.083673 eta: 2 days, 18:57:52 batch_cost: 1.1727 data_cost: 0.0029 ips: 34.1098 images/s
[07/26 12:39:09] ppdet.engine INFO: Epoch: [6] [680/732] learning_rate: 0.199846 loss_vfl: 1.598241 loss_bbox: 0.923667 loss_dfl: 0.607579 loss: 3.113133 eta: 2 days, 18:57:34 batch_cost: 1.1295 data_cost: 0.0081 ips: 35.4139 images/s
[07/26 12:39:35] ppdet.engine INFO: Epoch: [6] [700/732] learning_rate: 0.199845 loss_vfl: 1.549622 loss_bbox: 0.857749 loss_dfl: 0.564617 loss: 2.979848 eta: 2 days, 18:56:10 batch_cost: 1.0507 data_cost: 0.0099 ips: 38.0691 images/s
[07/26 12:40:03] ppdet.engine INFO: Epoch: [6] [720/732] learning_rate: 0.199843 loss_vfl: 1.568018 loss_bbox: 0.903024 loss_dfl: 0.590033 loss: 3.049039 eta: 2 days, 18:56:13 batch_cost: 1.1527 data_cost: 0.0103 ips: 34.7006 images/s
[07/26 12:40:21] ppdet.engine INFO: Epoch: [7] [  0/732] learning_rate: 0.199842 loss_vfl: 1.647388 loss_bbox: 0.941092 loss_dfl: 0.618173 loss: 3.185256 eta: 2 days, 18:57:40 batch_cost: 1.2393 data_cost: 0.3895 ips: 32.2752 images/s
[07/26 12:40:54] ppdet.engine INFO: Epoch: [7] [ 20/732] learning_rate: 0.199840 loss_vfl: 1.601024 loss_bbox: 0.874939 loss_dfl: 0.582317 loss: 3.107096 eta: 2 days, 19:01:29 batch_cost: 1.4245 data_cost: 0.0729 ips: 28.0796 images/s
[07/26 12:41:23] ppdet.engine INFO: Epoch: [7] [ 40/732] learning_rate: 0.199839 loss_vfl: 1.522642 loss_bbox: 0.865657 loss_dfl: 0.567843 loss: 2.932646 eta: 2 days, 19:03:08 batch_cost: 1.2718 data_cost: 0.0048 ips: 31.4510 images/s
[07/26 12:41:47] ppdet.engine INFO: Epoch: [7] [ 60/732] learning_rate: 0.199837 loss_vfl: 1.601382 loss_bbox: 0.889285 loss_dfl: 0.588171 loss: 3.085317 eta: 2 days, 19:00:50 batch_cost: 0.9859 data_cost: 0.0135 ips: 40.5718 images/s
[07/26 12:42:13] ppdet.engine INFO: Epoch: [7] [ 80/732] learning_rate: 0.199835 loss_vfl: 1.499780 loss_bbox: 0.882596 loss_dfl: 0.579039 loss: 2.991107 eta: 2 days, 18:59:49 batch_cost: 1.0785 data_cost: 0.0034 ips: 37.0891 images/s
[07/26 12:42:41] ppdet.engine INFO: Epoch: [7] [100/732] learning_rate: 0.199833 loss_vfl: 1.533916 loss_bbox: 0.899986 loss_dfl: 0.576804 loss: 2.999430 eta: 2 days, 19:00:45 batch_cost: 1.2211 data_cost: 0.0036 ips: 32.7567 images/s
[07/26 12:43:07] ppdet.engine INFO: Epoch: [7] [120/732] learning_rate: 0.199831 loss_vfl: 1.573898 loss_bbox: 0.855886 loss_dfl: 0.574595 loss: 3.001558 eta: 2 days, 18:59:45 batch_cost: 1.0796 data_cost: 0.0060 ips: 37.0503 images/s
[07/26 12:43:34] ppdet.engine INFO: Epoch: [7] [140/732] learning_rate: 0.199830 loss_vfl: 1.546773 loss_bbox: 0.897650 loss_dfl: 0.587908 loss: 3.009182 eta: 2 days, 18:59:05 batch_cost: 1.1034 data_cost: 0.0026 ips: 36.2503 images/s
[07/26 12:44:00] ppdet.engine INFO: Epoch: [7] [160/732] learning_rate: 0.199828 loss_vfl: 1.628961 loss_bbox: 0.920774 loss_dfl: 0.605939 loss: 3.176118 eta: 2 days, 18:58:20 batch_cost: 1.0977 data_cost: 0.0018 ips: 36.4397 images/s
[07/26 12:44:27] ppdet.engine INFO: Epoch: [7] [180/732] learning_rate: 0.199826 loss_vfl: 1.517926 loss_bbox: 0.849625 loss_dfl: 0.560884 loss: 2.939493 eta: 2 days, 18:57:45 batch_cost: 1.1090 data_cost: 0.0054 ips: 36.0673 images/s
[07/26 12:44:53] ppdet.engine INFO: Epoch: [7] [200/732] learning_rate: 0.199824 loss_vfl: 1.513784 loss_bbox: 0.898236 loss_dfl: 0.576874 loss: 2.966224 eta: 2 days, 18:57:29 batch_cost: 1.1327 data_cost: 0.0029 ips: 35.3125 images/s
[07/26 12:45:20] ppdet.engine INFO: Epoch: [7] [220/732] learning_rate: 0.199822 loss_vfl: 1.539376 loss_bbox: 0.904048 loss_dfl: 0.593975 loss: 3.052558 eta: 2 days, 18:57:29 batch_cost: 1.1533 data_cost: 0.0052 ips: 34.6832 images/s
[07/26 12:45:49] ppdet.engine INFO: Epoch: [7] [240/732] learning_rate: 0.199821 loss_vfl: 1.546678 loss_bbox: 0.865456 loss_dfl: 0.579111 loss: 3.003653 eta: 2 days, 18:58:16 batch_cost: 1.2123 data_cost: 0.0081 ips: 32.9952 images/s
[07/26 12:46:15] ppdet.engine INFO: Epoch: [7] [260/732] learning_rate: 0.199819 loss_vfl: 1.527760 loss_bbox: 0.889758 loss_dfl: 0.583383 loss: 2.999582 eta: 2 days, 18:57:55 batch_cost: 1.1271 data_cost: 0.0032 ips: 35.4881 images/s
[07/26 12:46:43] ppdet.engine INFO: Epoch: [7] [280/732] learning_rate: 0.199817 loss_vfl: 1.538024 loss_bbox: 0.879499 loss_dfl: 0.576629 loss: 3.011188 eta: 2 days, 18:58:39 batch_cost: 1.2097 data_cost: 0.0047 ips: 33.0669 images/s
[07/26 12:47:10] ppdet.engine INFO: Epoch: [7] [300/732] learning_rate: 0.199815 loss_vfl: 1.578220 loss_bbox: 0.877718 loss_dfl: 0.588505 loss: 3.053144 eta: 2 days, 18:58:26 batch_cost: 1.1366 data_cost: 0.0071 ips: 35.1924 images/s
[07/26 12:47:36] ppdet.engine INFO: Epoch: [7] [320/732] learning_rate: 0.199813 loss_vfl: 1.590625 loss_bbox: 0.895281 loss_dfl: 0.591596 loss: 3.059578 eta: 2 days, 18:58:07 batch_cost: 1.1309 data_cost: 0.0092 ips: 35.3695 images/s
[07/26 12:48:00] ppdet.engine INFO: Epoch: [7] [340/732] learning_rate: 0.199811 loss_vfl: 1.622713 loss_bbox: 0.939762 loss_dfl: 0.613071 loss: 3.152835 eta: 2 days, 18:56:19 batch_cost: 1.0168 data_cost: 0.0029 ips: 39.3401 images/s
[07/26 12:48:28] ppdet.engine INFO: Epoch: [7] [360/732] learning_rate: 0.199809 loss_vfl: 1.626058 loss_bbox: 0.951312 loss_dfl: 0.619916 loss: 3.175768 eta: 2 days, 18:56:22 batch_cost: 1.1581 data_cost: 0.0033 ips: 34.5404 images/s
[07/26 12:48:57] ppdet.engine INFO: Epoch: [7] [380/732] learning_rate: 0.199808 loss_vfl: 1.547011 loss_bbox: 0.873908 loss_dfl: 0.583919 loss: 3.020428 eta: 2 days, 18:56:41 batch_cost: 1.1781 data_cost: 0.0083 ips: 33.9522 images/s
[07/26 12:49:23] ppdet.engine INFO: Epoch: [7] [400/732] learning_rate: 0.199806 loss_vfl: 1.557665 loss_bbox: 0.870260 loss_dfl: 0.571870 loss: 2.971884 eta: 2 days, 18:55:56 batch_cost: 1.0974 data_cost: 0.0039 ips: 36.4503 images/s
[07/26 12:49:50] ppdet.engine INFO: Epoch: [7] [420/732] learning_rate: 0.199804 loss_vfl: 1.559683 loss_bbox: 0.883219 loss_dfl: 0.585281 loss: 3.063162 eta: 2 days, 18:55:54 batch_cost: 1.1519 data_cost: 0.0036 ips: 34.7251 images/s
[07/26 12:50:18] ppdet.engine INFO: Epoch: [7] [440/732] learning_rate: 0.199802 loss_vfl: 1.521155 loss_bbox: 0.890353 loss_dfl: 0.585251 loss: 2.976383 eta: 2 days, 18:56:01 batch_cost: 1.1638 data_cost: 0.0148 ips: 34.3711 images/s
[07/26 12:50:45] ppdet.engine INFO: Epoch: [7] [460/732] learning_rate: 0.199800 loss_vfl: 1.568041 loss_bbox: 0.911653 loss_dfl: 0.585697 loss: 3.064432 eta: 2 days, 18:56:15 batch_cost: 1.1733 data_cost: 0.0047 ips: 34.0907 images/s
[07/26 12:51:11] ppdet.engine INFO: Epoch: [7] [480/732] learning_rate: 0.199798 loss_vfl: 1.482324 loss_bbox: 0.838466 loss_dfl: 0.558921 loss: 2.867150 eta: 2 days, 18:54:43 batch_cost: 1.0349 data_cost: 0.0028 ips: 38.6529 images/s
[07/26 12:51:39] ppdet.engine INFO: Epoch: [7] [500/732] learning_rate: 0.199796 loss_vfl: 1.595173 loss_bbox: 0.957325 loss_dfl: 0.630481 loss: 3.169296 eta: 2 days, 18:54:32 batch_cost: 1.1409 data_cost: 0.0062 ips: 35.0603 images/s
[07/26 12:52:07] ppdet.engine INFO: Epoch: [7] [520/732] learning_rate: 0.199794 loss_vfl: 1.595427 loss_bbox: 0.901391 loss_dfl: 0.605519 loss: 3.130313 eta: 2 days, 18:54:15 batch_cost: 1.1339 data_cost: 0.0018 ips: 35.2766 images/s
[07/26 12:52:33] ppdet.engine INFO: Epoch: [7] [540/732] learning_rate: 0.199792 loss_vfl: 1.485166 loss_bbox: 0.850074 loss_dfl: 0.565185 loss: 2.897901 eta: 2 days, 18:54:27 batch_cost: 1.1708 data_cost: 0.0072 ips: 34.1656 images/s
[07/26 12:53:00] ppdet.engine INFO: Epoch: [7] [560/732] learning_rate: 0.199790 loss_vfl: 1.530980 loss_bbox: 0.870137 loss_dfl: 0.561247 loss: 2.940189 eta: 2 days, 18:53:46 batch_cost: 1.1013 data_cost: 0.0071 ips: 36.3224 images/s
[07/26 12:53:25] ppdet.engine INFO: Epoch: [7] [580/732] learning_rate: 0.199788 loss_vfl: 1.581040 loss_bbox: 0.915303 loss_dfl: 0.599791 loss: 3.097273 eta: 2 days, 18:52:20 batch_cost: 1.0409 data_cost: 0.0060 ips: 38.4279 images/s
[07/26 12:53:50] ppdet.engine INFO: Epoch: [7] [600/732] learning_rate: 0.199786 loss_vfl: 1.536421 loss_bbox: 0.882988 loss_dfl: 0.587789 loss: 3.017423 eta: 2 days, 18:51:46 batch_cost: 1.1098 data_cost: 0.0088 ips: 36.0421 images/s
[07/26 12:54:15] ppdet.engine INFO: Epoch: [7] [620/732] learning_rate: 0.199784 loss_vfl: 1.523352 loss_bbox: 0.882953 loss_dfl: 0.579565 loss: 3.008593 eta: 2 days, 18:50:35 batch_cost: 1.0606 data_cost: 0.0059 ips: 37.7141 images/s
[07/26 12:54:43] ppdet.engine INFO: Epoch: [7] [640/732] learning_rate: 0.199782 loss_vfl: 1.583934 loss_bbox: 0.909274 loss_dfl: 0.595197 loss: 3.106216 eta: 2 days, 18:51:00 batch_cost: 1.1893 data_cost: 0.0118 ips: 33.6332 images/s
[07/26 12:55:11] ppdet.engine INFO: Epoch: [7] [660/732] learning_rate: 0.199780 loss_vfl: 1.568056 loss_bbox: 0.912052 loss_dfl: 0.595443 loss: 3.033313 eta: 2 days, 18:50:26 batch_cost: 1.1104 data_cost: 0.0095 ips: 36.0237 images/s
[07/26 12:55:38] ppdet.engine INFO: Epoch: [7] [680/732] learning_rate: 0.199778 loss_vfl: 1.576624 loss_bbox: 0.880965 loss_dfl: 0.578475 loss: 3.027259 eta: 2 days, 18:49:30 batch_cost: 1.0794 data_cost: 0.0069 ips: 37.0565 images/s
[07/26 12:56:04] ppdet.engine INFO: Epoch: [7] [700/732] learning_rate: 0.199776 loss_vfl: 1.517894 loss_bbox: 0.866972 loss_dfl: 0.576476 loss: 2.960665 eta: 2 days, 18:48:31 batch_cost: 1.0752 data_cost: 0.0016 ips: 37.2016 images/s
[07/26 12:56:31] ppdet.engine INFO: Epoch: [7] [720/732] learning_rate: 0.199774 loss_vfl: 1.551219 loss_bbox: 0.909976 loss_dfl: 0.603534 loss: 3.106689 eta: 2 days, 18:48:40 batch_cost: 1.1686 data_cost: 0.0095 ips: 34.2279 images/s
[07/26 12:56:58] ppdet.engine INFO: Epoch: [8] [  0/732] learning_rate: 0.199773 loss_vfl: 1.620162 loss_bbox: 0.901177 loss_dfl: 0.600327 loss: 3.119253 eta: 2 days, 18:54:57 batch_cost: 1.6464 data_cost: 0.4252 ips: 24.2957 images/s
[07/26 12:57:24] ppdet.engine INFO: Epoch: [8] [ 20/732] learning_rate: 0.199770 loss_vfl: 1.526094 loss_bbox: 0.870559 loss_dfl: 0.567466 loss: 2.937665 eta: 2 days, 18:53:57 batch_cost: 1.0757 data_cost: 0.0044 ips: 37.1834 images/s
[07/26 12:57:51] ppdet.engine INFO: Epoch: [8] [ 40/732] learning_rate: 0.199768 loss_vfl: 1.513470 loss_bbox: 0.855120 loss_dfl: 0.574604 loss: 2.944670 eta: 2 days, 18:53:24 batch_cost: 1.1117 data_cost: 0.0036 ips: 35.9806 images/s
[07/26 12:58:17] ppdet.engine INFO: Epoch: [8] [ 60/732] learning_rate: 0.199766 loss_vfl: 1.468522 loss_bbox: 0.841241 loss_dfl: 0.551223 loss: 2.824166 eta: 2 days, 18:52:38 batch_cost: 1.0953 data_cost: 0.0064 ips: 36.5201 images/s
[07/26 12:58:45] ppdet.engine INFO: Epoch: [8] [ 80/732] learning_rate: 0.199764 loss_vfl: 1.499867 loss_bbox: 0.856016 loss_dfl: 0.569272 loss: 2.939831 eta: 2 days, 18:52:57 batch_cost: 1.1834 data_cost: 0.0080 ips: 33.8008 images/s
[07/26 12:59:11] ppdet.engine INFO: Epoch: [8] [100/732] learning_rate: 0.199762 loss_vfl: 1.542572 loss_bbox: 0.872543 loss_dfl: 0.581080 loss: 2.977451 eta: 2 days, 18:51:44 batch_cost: 1.0566 data_cost: 0.0054 ips: 37.8572 images/s
[07/26 12:59:37] ppdet.engine INFO: Epoch: [8] [120/732] learning_rate: 0.199760 loss_vfl: 1.494862 loss_bbox: 0.846477 loss_dfl: 0.556098 loss: 2.867624 eta: 2 days, 18:51:01 batch_cost: 1.0986 data_cost: 0.0032 ips: 36.4089 images/s
[07/26 13:00:03] ppdet.engine INFO: Epoch: [8] [140/732] learning_rate: 0.199758 loss_vfl: 1.543987 loss_bbox: 0.894755 loss_dfl: 0.586788 loss: 3.017433 eta: 2 days, 18:50:48 batch_cost: 1.1406 data_cost: 0.0057 ips: 35.0690 images/s
[07/26 13:00:29] ppdet.engine INFO: Epoch: [8] [160/732] learning_rate: 0.199756 loss_vfl: 1.569576 loss_bbox: 0.858191 loss_dfl: 0.571194 loss: 3.018451 eta: 2 days, 18:50:17 batch_cost: 1.1145 data_cost: 0.0053 ips: 35.8919 images/s
[07/26 13:00:56] ppdet.engine INFO: Epoch: [8] [180/732] learning_rate: 0.199754 loss_vfl: 1.464518 loss_bbox: 0.842961 loss_dfl: 0.554733 loss: 2.810769 eta: 2 days, 18:50:09 batch_cost: 1.1463 data_cost: 0.0105 ips: 34.8955 images/s
[07/26 13:01:22] ppdet.engine INFO: Epoch: [8] [200/732] learning_rate: 0.199751 loss_vfl: 1.497090 loss_bbox: 0.863829 loss_dfl: 0.569167 loss: 2.949601 eta: 2 days, 18:49:35 batch_cost: 1.1114 data_cost: 0.0054 ips: 35.9900 images/s
[07/26 13:01:48] ppdet.engine INFO: Epoch: [8] [220/732] learning_rate: 0.199749 loss_vfl: 1.497696 loss_bbox: 0.842329 loss_dfl: 0.566449 loss: 2.941815 eta: 2 days, 18:47:46 batch_cost: 1.0032 data_cost: 0.0108 ips: 39.8726 images/s
[07/26 13:02:14] ppdet.engine INFO: Epoch: [8] [240/732] learning_rate: 0.199747 loss_vfl: 1.555100 loss_bbox: 0.898085 loss_dfl: 0.597290 loss: 3.070511 eta: 2 days, 18:46:33 batch_cost: 1.0543 data_cost: 0.0063 ips: 37.9399 images/s
[07/26 13:02:40] ppdet.engine INFO: Epoch: [8] [260/732] learning_rate: 0.199745 loss_vfl: 1.543549 loss_bbox: 0.862718 loss_dfl: 0.581791 loss: 2.967414 eta: 2 days, 18:45:11 batch_cost: 1.0399 data_cost: 0.0039 ips: 38.4666 images/s
[07/26 13:03:08] ppdet.engine INFO: Epoch: [8] [280/732] learning_rate: 0.199743 loss_vfl: 1.508783 loss_bbox: 0.860183 loss_dfl: 0.569409 loss: 2.928565 eta: 2 days, 18:44:37 batch_cost: 1.1089 data_cost: 0.0062 ips: 36.0720 images/s
[07/26 13:03:34] ppdet.engine INFO: Epoch: [8] [300/732] learning_rate: 0.199740 loss_vfl: 1.537318 loss_bbox: 0.877816 loss_dfl: 0.568979 loss: 2.958976 eta: 2 days, 18:43:43 batch_cost: 1.0812 data_cost: 0.0041 ips: 36.9944 images/s
[07/26 13:04:01] ppdet.engine INFO: Epoch: [8] [320/732] learning_rate: 0.199738 loss_vfl: 1.506364 loss_bbox: 0.825494 loss_dfl: 0.547778 loss: 2.879736 eta: 2 days, 18:43:22 batch_cost: 1.1266 data_cost: 0.0046 ips: 35.5053 images/s
[07/26 13:04:27] ppdet.engine INFO: Epoch: [8] [340/732] learning_rate: 0.199736 loss_vfl: 1.523961 loss_bbox: 0.855912 loss_dfl: 0.570613 loss: 2.944767 eta: 2 days, 18:42:05 batch_cost: 1.0469 data_cost: 0.0067 ips: 38.2086 images/s
[07/26 13:04:54] ppdet.engine INFO: Epoch: [8] [360/732] learning_rate: 0.199734 loss_vfl: 1.510908 loss_bbox: 0.848123 loss_dfl: 0.561473 loss: 2.897440 eta: 2 days, 18:41:41 batch_cost: 1.1226 data_cost: 0.0036 ips: 35.6312 images/s
[07/26 13:05:21] ppdet.engine INFO: Epoch: [8] [380/732] learning_rate: 0.199731 loss_vfl: 1.531795 loss_bbox: 0.881699 loss_dfl: 0.581264 loss: 2.998284 eta: 2 days, 18:40:41 batch_cost: 1.0714 data_cost: 0.0073 ips: 37.3342 images/s
[07/26 13:05:47] ppdet.engine INFO: Epoch: [8] [400/732] learning_rate: 0.199729 loss_vfl: 1.522784 loss_bbox: 0.893895 loss_dfl: 0.589610 loss: 3.023642 eta: 2 days, 18:39:26 batch_cost: 1.0475 data_cost: 0.0062 ips: 38.1868 images/s
[07/26 13:06:14] ppdet.engine INFO: Epoch: [8] [420/732] learning_rate: 0.199727 loss_vfl: 1.581326 loss_bbox: 0.899188 loss_dfl: 0.592792 loss: 3.058384 eta: 2 days, 18:38:58 batch_cost: 1.1163 data_cost: 0.0075 ips: 35.8325 images/s
[07/26 13:06:40] ppdet.engine INFO: Epoch: [8] [440/732] learning_rate: 0.199725 loss_vfl: 1.531460 loss_bbox: 0.851127 loss_dfl: 0.567582 loss: 2.961459 eta: 2 days, 18:38:00 batch_cost: 1.0736 data_cost: 0.0041 ips: 37.2595 images/s
[07/26 13:07:08] ppdet.engine INFO: Epoch: [8] [460/732] learning_rate: 0.199722 loss_vfl: 1.483255 loss_bbox: 0.841473 loss_dfl: 0.565905 loss: 2.907549 eta: 2 days, 18:37:30 batch_cost: 1.1129 data_cost: 0.0082 ips: 35.9429 images/s
[07/26 13:07:34] ppdet.engine INFO: Epoch: [8] [480/732] learning_rate: 0.199720 loss_vfl: 1.569277 loss_bbox: 0.875926 loss_dfl: 0.582884 loss: 2.989423 eta: 2 days, 18:36:53 batch_cost: 1.1033 data_cost: 0.0029 ips: 36.2555 images/s
[07/26 13:08:01] ppdet.engine INFO: Epoch: [8] [500/732] learning_rate: 0.199718 loss_vfl: 1.491340 loss_bbox: 0.847099 loss_dfl: 0.567994 loss: 2.894482 eta: 2 days, 18:36:32 batch_cost: 1.1259 data_cost: 0.0031 ips: 35.5263 images/s
[07/26 13:08:27] ppdet.engine INFO: Epoch: [8] [520/732] learning_rate: 0.199716 loss_vfl: 1.472329 loss_bbox: 0.810505 loss_dfl: 0.549816 loss: 2.838027 eta: 2 days, 18:35:41 batch_cost: 1.0820 data_cost: 0.0122 ips: 36.9699 images/s
[07/26 13:08:54] ppdet.engine INFO: Epoch: [8] [540/732] learning_rate: 0.199713 loss_vfl: 1.520243 loss_bbox: 0.867319 loss_dfl: 0.572400 loss: 2.956070 eta: 2 days, 18:35:35 batch_cost: 1.1500 data_cost: 0.0036 ips: 34.7819 images/s
[07/26 13:09:22] ppdet.engine INFO: Epoch: [8] [560/732] learning_rate: 0.199711 loss_vfl: 1.509661 loss_bbox: 0.885952 loss_dfl: 0.582874 loss: 2.949716 eta: 2 days, 18:35:09 batch_cost: 1.1185 data_cost: 0.0048 ips: 35.7618 images/s
[07/26 13:09:51] ppdet.engine INFO: Epoch: [8] [580/732] learning_rate: 0.199709 loss_vfl: 1.571551 loss_bbox: 0.895559 loss_dfl: 0.601051 loss: 3.084361 eta: 2 days, 18:35:26 batch_cost: 1.1840 data_cost: 0.0029 ips: 33.7827 images/s
[07/26 13:10:16] ppdet.engine INFO: Epoch: [8] [600/732] learning_rate: 0.199706 loss_vfl: 1.536394 loss_bbox: 0.864278 loss_dfl: 0.576140 loss: 2.970020 eta: 2 days, 18:34:48 batch_cost: 1.1005 data_cost: 0.0057 ips: 36.3476 images/s
[07/26 13:10:44] ppdet.engine INFO: Epoch: [8] [620/732] learning_rate: 0.199704 loss_vfl: 1.488801 loss_bbox: 0.864809 loss_dfl: 0.567804 loss: 2.926224 eta: 2 days, 18:35:08 batch_cost: 1.1900 data_cost: 0.0028 ips: 33.6123 images/s
[07/26 13:11:10] ppdet.engine INFO: Epoch: [8] [640/732] learning_rate: 0.199701 loss_vfl: 1.580219 loss_bbox: 0.910912 loss_dfl: 0.597062 loss: 3.084916 eta: 2 days, 18:33:59 batch_cost: 1.0542 data_cost: 0.0029 ips: 37.9422 images/s
[07/26 13:11:34] ppdet.engine INFO: Epoch: [8] [660/732] learning_rate: 0.199699 loss_vfl: 1.506812 loss_bbox: 0.863555 loss_dfl: 0.577094 loss: 2.943588 eta: 2 days, 18:31:58 batch_cost: 0.9733 data_cost: 0.0080 ips: 41.0990 images/s
[07/26 13:12:02] ppdet.engine INFO: Epoch: [8] [680/732] learning_rate: 0.199697 loss_vfl: 1.506379 loss_bbox: 0.851746 loss_dfl: 0.562086 loss: 2.910625 eta: 2 days, 18:32:00 batch_cost: 1.1608 data_cost: 0.0040 ips: 34.4584 images/s
[07/26 13:12:27] ppdet.engine INFO: Epoch: [8] [700/732] learning_rate: 0.199694 loss_vfl: 1.508604 loss_bbox: 0.882206 loss_dfl: 0.589094 loss: 3.019208 eta: 2 days, 18:31:27 batch_cost: 1.1081 data_cost: 0.0036 ips: 36.0967 images/s
[07/26 13:12:54] ppdet.engine INFO: Epoch: [8] [720/732] learning_rate: 0.199692 loss_vfl: 1.439062 loss_bbox: 0.795646 loss_dfl: 0.536800 loss: 2.778527 eta: 2 days, 18:32:00 batch_cost: 1.2110 data_cost: 0.0011 ips: 33.0317 images/s
[07/26 13:13:14] ppdet.engine INFO: Epoch: [9] [  0/732] learning_rate: 0.199690 loss_vfl: 1.473708 loss_bbox: 0.860850 loss_dfl: 0.568851 loss: 2.906372 eta: 2 days, 18:34:15 batch_cost: 1.3816 data_cost: 0.4089 ips: 28.9523 images/s
[07/26 13:13:45] ppdet.engine INFO: Epoch: [9] [ 20/732] learning_rate: 0.199688 loss_vfl: 1.519439 loss_bbox: 0.865758 loss_dfl: 0.566678 loss: 2.938612 eta: 2 days, 18:35:31 batch_cost: 1.2778 data_cost: 0.0115 ips: 31.3036 images/s
[07/26 13:14:13] ppdet.engine INFO: Epoch: [9] [ 40/732] learning_rate: 0.199686 loss_vfl: 1.541561 loss_bbox: 0.881534 loss_dfl: 0.576216 loss: 2.983222 eta: 2 days, 18:36:09 batch_cost: 1.2196 data_cost: 0.0032 ips: 32.7983 images/s
[07/26 13:14:41] ppdet.engine INFO: Epoch: [9] [ 60/732] learning_rate: 0.199683 loss_vfl: 1.557593 loss_bbox: 0.873192 loss_dfl: 0.583407 loss: 3.064485 eta: 2 days, 18:36:09 batch_cost: 1.1609 data_cost: 0.0244 ips: 34.4554 images/s
[07/26 13:15:06] ppdet.engine INFO: Epoch: [9] [ 80/732] learning_rate: 0.199681 loss_vfl: 1.476450 loss_bbox: 0.859696 loss_dfl: 0.569462 loss: 2.881471 eta: 2 days, 18:35:16 batch_cost: 1.0786 data_cost: 0.0096 ips: 37.0841 images/s
[07/26 13:15:32] ppdet.engine INFO: Epoch: [9] [100/732] learning_rate: 0.199678 loss_vfl: 1.487328 loss_bbox: 0.866602 loss_dfl: 0.572033 loss: 2.930050 eta: 2 days, 18:34:11 batch_cost: 1.0584 data_cost: 0.0033 ips: 37.7940 images/s
[07/26 13:15:59] ppdet.engine INFO: Epoch: [9] [120/732] learning_rate: 0.199676 loss_vfl: 1.544171 loss_bbox: 0.884922 loss_dfl: 0.583152 loss: 3.038732 eta: 2 days, 18:33:09 batch_cost: 1.0640 data_cost: 0.0053 ips: 37.5924 images/s
[07/26 13:16:25] ppdet.engine INFO: Epoch: [9] [140/732] learning_rate: 0.199673 loss_vfl: 1.526253 loss_bbox: 0.859948 loss_dfl: 0.561815 loss: 2.941319 eta: 2 days, 18:31:28 batch_cost: 1.0015 data_cost: 0.0024 ips: 39.9417 images/s
[07/26 13:16:52] ppdet.engine INFO: Epoch: [9] [160/732] learning_rate: 0.199671 loss_vfl: 1.490657 loss_bbox: 0.842365 loss_dfl: 0.560773 loss: 2.886537 eta: 2 days, 18:31:02 batch_cost: 1.1191 data_cost: 0.0032 ips: 35.7443 images/s
[07/26 13:17:18] ppdet.engine INFO: Epoch: [9] [180/732] learning_rate: 0.199668 loss_vfl: 1.494234 loss_bbox: 0.832630 loss_dfl: 0.552346 loss: 2.878599 eta: 2 days, 18:29:19 batch_cost: 0.9966 data_cost: 0.0086 ips: 40.1366 images/s
[07/26 13:17:45] ppdet.engine INFO: Epoch: [9] [200/732] learning_rate: 0.199666 loss_vfl: 1.494375 loss_bbox: 0.844691 loss_dfl: 0.559033 loss: 2.914080 eta: 2 days, 18:28:12 batch_cost: 1.0545 data_cost: 0.0135 ips: 37.9331 images/s
[07/26 13:18:12] ppdet.engine INFO: Epoch: [9] [220/732] learning_rate: 0.199663 loss_vfl: 1.532417 loss_bbox: 0.862978 loss_dfl: 0.570003 loss: 2.931756 eta: 2 days, 18:28:03 batch_cost: 1.1460 data_cost: 0.0036 ips: 34.9027 images/s
[07/26 13:18:38] ppdet.engine INFO: Epoch: [9] [240/732] learning_rate: 0.199661 loss_vfl: 1.584865 loss_bbox: 0.917166 loss_dfl: 0.604361 loss: 3.090774 eta: 2 days, 18:27:16 batch_cost: 1.0843 data_cost: 0.0066 ips: 36.8901 images/s
[07/26 13:19:04] ppdet.engine INFO: Epoch: [9] [260/732] learning_rate: 0.199658 loss_vfl: 1.530005 loss_bbox: 0.887350 loss_dfl: 0.584982 loss: 2.997988 eta: 2 days, 18:26:24 batch_cost: 1.0770 data_cost: 0.0113 ips: 37.1396 images/s
[07/26 13:19:28] ppdet.engine INFO: Epoch: [9] [280/732] learning_rate: 0.199656 loss_vfl: 1.507077 loss_bbox: 0.842169 loss_dfl: 0.555525 loss: 2.875045 eta: 2 days, 18:24:24 batch_cost: 0.9676 data_cost: 0.0037 ips: 41.3405 images/s
[07/26 13:19:57] ppdet.engine INFO: Epoch: [9] [300/732] learning_rate: 0.199653 loss_vfl: 1.559984 loss_bbox: 0.903357 loss_dfl: 0.595672 loss: 3.022899 eta: 2 days, 18:23:43 batch_cost: 1.0934 data_cost: 0.0073 ips: 36.5823 images/s
[07/26 13:20:24] ppdet.engine INFO: Epoch: [9] [320/732] learning_rate: 0.199651 loss_vfl: 1.454020 loss_bbox: 0.811611 loss_dfl: 0.538385 loss: 2.801311 eta: 2 days, 18:23:53 batch_cost: 1.1768 data_cost: 0.0035 ips: 33.9893 images/s
[07/26 13:20:50] ppdet.engine INFO: Epoch: [9] [340/732] learning_rate: 0.199648 loss_vfl: 1.560529 loss_bbox: 0.874653 loss_dfl: 0.592843 loss: 3.082927 eta: 2 days, 18:23:24 batch_cost: 1.1129 data_cost: 0.0041 ips: 35.9407 images/s
[07/26 13:21:15] ppdet.engine INFO: Epoch: [9] [360/732] learning_rate: 0.199645 loss_vfl: 1.523382 loss_bbox: 0.875315 loss_dfl: 0.576817 loss: 2.985580 eta: 2 days, 18:22:19 batch_cost: 1.0539 data_cost: 0.0045 ips: 37.9528 images/s
[07/26 13:21:42] ppdet.engine INFO: Epoch: [9] [380/732] learning_rate: 0.199643 loss_vfl: 1.514493 loss_bbox: 0.856391 loss_dfl: 0.571120 loss: 2.934051 eta: 2 days, 18:21:38 batch_cost: 1.0929 data_cost: 0.0047 ips: 36.5996 images/s
[07/26 13:22:10] ppdet.engine INFO: Epoch: [9] [400/732] learning_rate: 0.199640 loss_vfl: 1.542765 loss_bbox: 0.888354 loss_dfl: 0.596781 loss: 3.051005 eta: 2 days, 18:21:07 batch_cost: 1.1100 data_cost: 0.0026 ips: 36.0376 images/s
[07/26 13:22:35] ppdet.engine INFO: Epoch: [9] [420/732] learning_rate: 0.199638 loss_vfl: 1.520358 loss_bbox: 0.861238 loss_dfl: 0.570964 loss: 2.930037 eta: 2 days, 18:19:50 batch_cost: 1.0335 data_cost: 0.0088 ips: 38.7035 images/s
[07/26 13:23:00] ppdet.engine INFO: Epoch: [9] [440/732] learning_rate: 0.199635 loss_vfl: 1.531033 loss_bbox: 0.885467 loss_dfl: 0.579587 loss: 2.990537 eta: 2 days, 18:18:37 batch_cost: 1.0396 data_cost: 0.0134 ips: 38.4751 images/s
[07/26 13:23:28] ppdet.engine INFO: Epoch: [9] [460/732] learning_rate: 0.199632 loss_vfl: 1.542855 loss_bbox: 0.866742 loss_dfl: 0.576786 loss: 3.016708 eta: 2 days, 18:18:21 batch_cost: 1.1335 data_cost: 0.0046 ips: 35.2880 images/s
[07/26 13:23:54] ppdet.engine INFO: Epoch: [9] [480/732] learning_rate: 0.199630 loss_vfl: 1.492857 loss_bbox: 0.840231 loss_dfl: 0.561486 loss: 2.875049 eta: 2 days, 18:17:29 batch_cost: 1.0741 data_cost: 0.0077 ips: 37.2421 images/s
[07/26 13:24:22] ppdet.engine INFO: Epoch: [9] [500/732] learning_rate: 0.199627 loss_vfl: 1.542959 loss_bbox: 0.882429 loss_dfl: 0.584453 loss: 3.007335 eta: 2 days, 18:17:14 batch_cost: 1.1361 data_cost: 0.0122 ips: 35.2094 images/s
[07/26 13:24:47] ppdet.engine INFO: Epoch: [9] [520/732] learning_rate: 0.199624 loss_vfl: 1.497494 loss_bbox: 0.841325 loss_dfl: 0.566549 loss: 2.919194 eta: 2 days, 18:15:41 batch_cost: 1.0052 data_cost: 0.0055 ips: 39.7915 images/s
[07/26 13:25:13] ppdet.engine INFO: Epoch: [9] [540/732] learning_rate: 0.199622 loss_vfl: 1.507332 loss_bbox: 0.867155 loss_dfl: 0.566886 loss: 2.902463 eta: 2 days, 18:14:47 batch_cost: 1.0687 data_cost: 0.0039 ips: 37.4302 images/s
[07/26 13:25:41] ppdet.engine INFO: Epoch: [9] [560/732] learning_rate: 0.199619 loss_vfl: 1.502112 loss_bbox: 0.850055 loss_dfl: 0.565341 loss: 2.911916 eta: 2 days, 18:15:10 batch_cost: 1.1997 data_cost: 0.0087 ips: 33.3419 images/s
[07/26 13:26:08] ppdet.engine INFO: Epoch: [9] [580/732] learning_rate: 0.199616 loss_vfl: 1.536208 loss_bbox: 0.909808 loss_dfl: 0.596871 loss: 3.026837 eta: 2 days, 18:14:36 batch_cost: 1.1030 data_cost: 0.0043 ips: 36.2647 images/s
[07/26 13:26:35] ppdet.engine INFO: Epoch: [9] [600/732] learning_rate: 0.199614 loss_vfl: 1.532271 loss_bbox: 0.868547 loss_dfl: 0.573987 loss: 2.974064 eta: 2 days, 18:14:16 batch_cost: 1.1266 data_cost: 0.0042 ips: 35.5042 images/s
[07/26 13:27:01] ppdet.engine INFO: Epoch: [9] [620/732] learning_rate: 0.199611 loss_vfl: 1.507759 loss_bbox: 0.886982 loss_dfl: 0.583657 loss: 2.987210 eta: 2 days, 18:13:45 batch_cost: 1.1081 data_cost: 0.0113 ips: 36.0992 images/s
[07/26 13:27:29] ppdet.engine INFO: Epoch: [9] [640/732] learning_rate: 0.199608 loss_vfl: 1.525692 loss_bbox: 0.888972 loss_dfl: 0.584115 loss: 2.990084 eta: 2 days, 18:13:25 batch_cost: 1.1260 data_cost: 0.0070 ips: 35.5229 images/s
[07/26 13:27:55] ppdet.engine INFO: Epoch: [9] [660/732] learning_rate: 0.199606 loss_vfl: 1.503889 loss_bbox: 0.849257 loss_dfl: 0.570631 loss: 2.923637 eta: 2 days, 18:13:12 batch_cost: 1.1386 data_cost: 0.0066 ips: 35.1299 images/s
[07/26 13:28:22] ppdet.engine INFO: Epoch: [9] [680/732] learning_rate: 0.199603 loss_vfl: 1.505403 loss_bbox: 0.855074 loss_dfl: 0.569428 loss: 2.962159 eta: 2 days, 18:12:38 batch_cost: 1.1037 data_cost: 0.0063 ips: 36.2416 images/s
[07/26 13:28:48] ppdet.engine INFO: Epoch: [9] [700/732] learning_rate: 0.199600 loss_vfl: 1.479428 loss_bbox: 0.829572 loss_dfl: 0.551816 loss: 2.860992 eta: 2 days, 18:11:52 batch_cost: 1.0819 data_cost: 0.0092 ips: 36.9719 images/s
[07/26 13:29:15] ppdet.engine INFO: Epoch: [9] [720/732] learning_rate: 0.199597 loss_vfl: 1.468980 loss_bbox: 0.831900 loss_dfl: 0.544548 loss: 2.854086 eta: 2 days, 18:11:30 batch_cost: 1.1238 data_cost: 0.0034 ips: 35.5928 images/s
[07/26 13:29:26] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
loading annotations into memory...
Done (t=1.97s)
creating index...
index created!
loading annotations into memory...
Done (t=0.99s)
creating index...
index created!
[07/26 13:29:34] ppdet.engine INFO: Eval iter: 0
[07/26 13:29:58] ppdet.engine INFO: Eval iter: 100
[07/26 13:30:18] ppdet.engine INFO: Eval iter: 200
[07/26 13:30:38] ppdet.engine INFO: Eval iter: 300
[07/26 13:30:58] ppdet.engine INFO: Eval iter: 400
[07/26 13:31:19] ppdet.engine INFO: Eval iter: 500
[07/26 13:31:38] ppdet.engine INFO: Eval iter: 600
[07/26 13:31:56] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.67s)
creating index...
index created!
[07/26 13:31:57] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.78s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=96.37s).
Accumulating evaluation results...
DONE (t=22.01s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.080
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.140
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.082
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.032
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.083
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.115
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.149
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.257
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.268
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.080
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.276
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.401
[07/26 13:34:02] ppdet.engine INFO: Total sample number: 4952, averge FPS: 38.021829386609
[07/26 13:34:02] ppdet.engine INFO: Best test bbox ap is 0.080.
[07/26 13:34:02] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/26 13:34:03] ppdet.engine INFO: Epoch: [10] [  0/732] learning_rate: 0.199596 loss_vfl: 1.489456 loss_bbox: 0.842002 loss_dfl: 0.567721 loss: 2.884273 eta: 2 days, 18:09:04 batch_cost: 0.8306 data_cost: 0.0007 ips: 48.1555 images/s
[07/26 13:34:27] ppdet.engine INFO: Epoch: [10] [ 20/732] learning_rate: 0.199593 loss_vfl: 1.497025 loss_bbox: 0.863288 loss_dfl: 0.567465 loss: 2.928946 eta: 2 days, 18:06:32 batch_cost: 0.8964 data_cost: 0.0054 ips: 44.6208 images/s
[07/26 13:34:55] ppdet.engine INFO: Epoch: [10] [ 40/732] learning_rate: 0.199590 loss_vfl: 1.538365 loss_bbox: 0.872421 loss_dfl: 0.579222 loss: 3.005524 eta: 2 days, 18:06:36 batch_cost: 1.1669 data_cost: 0.0070 ips: 34.2783 images/s
[07/26 13:35:22] ppdet.engine INFO: Epoch: [10] [ 60/732] learning_rate: 0.199587 loss_vfl: 1.521235 loss_bbox: 0.878856 loss_dfl: 0.578021 loss: 2.977609 eta: 2 days, 18:06:06 batch_cost: 1.1096 data_cost: 0.0104 ips: 36.0475 images/s
[07/26 13:35:50] ppdet.engine INFO: Epoch: [10] [ 80/732] learning_rate: 0.199585 loss_vfl: 1.526072 loss_bbox: 0.861431 loss_dfl: 0.573652 loss: 2.950885 eta: 2 days, 18:06:06 batch_cost: 1.1604 data_cost: 0.0082 ips: 34.4711 images/s
[07/26 13:36:16] ppdet.engine INFO: Epoch: [10] [100/732] learning_rate: 0.199582 loss_vfl: 1.565957 loss_bbox: 0.880752 loss_dfl: 0.591195 loss: 3.034158 eta: 2 days, 18:05:32 batch_cost: 1.1005 data_cost: 0.0121 ips: 36.3479 images/s
[07/26 13:36:43] ppdet.engine INFO: Epoch: [10] [120/732] learning_rate: 0.199579 loss_vfl: 1.506851 loss_bbox: 0.859182 loss_dfl: 0.573150 loss: 2.964180 eta: 2 days, 18:05:04 batch_cost: 1.1124 data_cost: 0.0066 ips: 35.9575 images/s
[07/26 13:37:10] ppdet.engine INFO: Epoch: [10] [140/732] learning_rate: 0.199576 loss_vfl: 1.492702 loss_bbox: 0.859694 loss_dfl: 0.572551 loss: 2.942506 eta: 2 days, 18:04:25 batch_cost: 1.0918 data_cost: 0.0076 ips: 36.6367 images/s
[07/26 13:37:33] ppdet.engine INFO: Epoch: [10] [160/732] learning_rate: 0.199573 loss_vfl: 1.528581 loss_bbox: 0.879144 loss_dfl: 0.578210 loss: 2.994148 eta: 2 days, 18:02:15 batch_cost: 0.9317 data_cost: 0.0046 ips: 42.9324 images/s
[07/26 13:38:02] ppdet.engine INFO: Epoch: [10] [180/732] learning_rate: 0.199571 loss_vfl: 1.505980 loss_bbox: 0.863091 loss_dfl: 0.574486 loss: 2.975641 eta: 2 days, 18:02:18 batch_cost: 1.1649 data_cost: 0.0040 ips: 34.3372 images/s
[07/26 13:38:28] ppdet.engine INFO: Epoch: [10] [200/732] learning_rate: 0.199568 loss_vfl: 1.464020 loss_bbox: 0.820759 loss_dfl: 0.541588 loss: 2.818672 eta: 2 days, 18:01:02 batch_cost: 1.0266 data_cost: 0.0065 ips: 38.9653 images/s
[07/26 13:38:54] ppdet.engine INFO: Epoch: [10] [220/732] learning_rate: 0.199565 loss_vfl: 1.455658 loss_bbox: 0.845846 loss_dfl: 0.555579 loss: 2.834056 eta: 2 days, 18:00:39 batch_cost: 1.1190 data_cost: 0.0075 ips: 35.7452 images/s
[07/26 13:39:20] ppdet.engine INFO: Epoch: [10] [240/732] learning_rate: 0.199562 loss_vfl: 1.537970 loss_bbox: 0.868099 loss_dfl: 0.580850 loss: 3.029371 eta: 2 days, 17:59:42 batch_cost: 1.0586 data_cost: 0.0108 ips: 37.7850 images/s
[07/26 13:39:46] ppdet.engine INFO: Epoch: [10] [260/732] learning_rate: 0.199559 loss_vfl: 1.553077 loss_bbox: 0.840919 loss_dfl: 0.559429 loss: 2.956506 eta: 2 days, 17:58:34 batch_cost: 1.0397 data_cost: 0.0072 ips: 38.4712 images/s
[07/26 13:40:12] ppdet.engine INFO: Epoch: [10] [280/732] learning_rate: 0.199556 loss_vfl: 1.478409 loss_bbox: 0.862476 loss_dfl: 0.569280 loss: 2.900494 eta: 2 days, 17:58:10 batch_cost: 1.1173 data_cost: 0.0152 ips: 35.7990 images/s
[07/26 13:40:38] ppdet.engine INFO: Epoch: [10] [300/732] learning_rate: 0.199553 loss_vfl: 1.500324 loss_bbox: 0.885249 loss_dfl: 0.585762 loss: 2.984978 eta: 2 days, 17:57:32 batch_cost: 1.0928 data_cost: 0.0057 ips: 36.6030 images/s
[07/26 13:41:07] ppdet.engine INFO: Epoch: [10] [320/732] learning_rate: 0.199550 loss_vfl: 1.487014 loss_bbox: 0.871282 loss_dfl: 0.574747 loss: 2.925208 eta: 2 days, 17:57:40 batch_cost: 1.1734 data_cost: 0.0175 ips: 34.0891 images/s
[07/26 13:41:35] ppdet.engine INFO: Epoch: [10] [340/732] learning_rate: 0.199547 loss_vfl: 1.490435 loss_bbox: 0.837210 loss_dfl: 0.566730 loss: 2.898621 eta: 2 days, 17:57:21 batch_cost: 1.1268 data_cost: 0.0028 ips: 35.4996 images/s
[07/26 13:42:00] ppdet.engine INFO: Epoch: [10] [360/732] learning_rate: 0.199545 loss_vfl: 1.505826 loss_bbox: 0.885948 loss_dfl: 0.582222 loss: 2.982644 eta: 2 days, 17:56:48 batch_cost: 1.1018 data_cost: 0.0091 ips: 36.3034 images/s
[07/26 13:42:27] ppdet.engine INFO: Epoch: [10] [380/732] learning_rate: 0.199542 loss_vfl: 1.463923 loss_bbox: 0.854952 loss_dfl: 0.567399 loss: 2.838705 eta: 2 days, 17:56:10 batch_cost: 1.0917 data_cost: 0.0093 ips: 36.6398 images/s
[07/26 13:42:52] ppdet.engine INFO: Epoch: [10] [400/732] learning_rate: 0.199539 loss_vfl: 1.469077 loss_bbox: 0.823440 loss_dfl: 0.543994 loss: 2.851196 eta: 2 days, 17:55:05 batch_cost: 1.0423 data_cost: 0.0055 ips: 38.3785 images/s
[07/26 13:43:20] ppdet.engine INFO: Epoch: [10] [420/732] learning_rate: 0.199536 loss_vfl: 1.487209 loss_bbox: 0.854718 loss_dfl: 0.568961 loss: 2.895593 eta: 2 days, 17:55:28 batch_cost: 1.2030 data_cost: 0.0046 ips: 33.2490 images/s
[07/26 13:43:46] ppdet.engine INFO: Epoch: [10] [440/732] learning_rate: 0.199533 loss_vfl: 1.413670 loss_bbox: 0.808754 loss_dfl: 0.530661 loss: 2.748865 eta: 2 days, 17:54:25 batch_cost: 1.0460 data_cost: 0.0081 ips: 38.2394 images/s
[07/26 13:44:12] ppdet.engine INFO: Epoch: [10] [460/732] learning_rate: 0.199530 loss_vfl: 1.530585 loss_bbox: 0.849903 loss_dfl: 0.569394 loss: 2.957307 eta: 2 days, 17:53:32 batch_cost: 1.0633 data_cost: 0.0141 ips: 37.6187 images/s
[07/26 13:44:38] ppdet.engine INFO: Epoch: [10] [480/732] learning_rate: 0.199527 loss_vfl: 1.508985 loss_bbox: 0.840268 loss_dfl: 0.572106 loss: 2.953005 eta: 2 days, 17:52:48 batch_cost: 1.0809 data_cost: 0.0105 ips: 37.0076 images/s
[07/26 13:45:03] ppdet.engine INFO: Epoch: [10] [500/732] learning_rate: 0.199524 loss_vfl: 1.524633 loss_bbox: 0.855034 loss_dfl: 0.571040 loss: 2.935709 eta: 2 days, 17:51:41 batch_cost: 1.0379 data_cost: 0.0100 ips: 38.5388 images/s
[07/26 13:45:30] ppdet.engine INFO: Epoch: [10] [520/732] learning_rate: 0.199521 loss_vfl: 1.478865 loss_bbox: 0.829893 loss_dfl: 0.558977 loss: 2.888822 eta: 2 days, 17:51:26 batch_cost: 1.1321 data_cost: 0.0091 ips: 35.3329 images/s
[07/26 13:45:56] ppdet.engine INFO: Epoch: [10] [540/732] learning_rate: 0.199518 loss_vfl: 1.448595 loss_bbox: 0.824420 loss_dfl: 0.544068 loss: 2.787970 eta: 2 days, 17:50:31 batch_cost: 1.0598 data_cost: 0.0071 ips: 37.7437 images/s
[07/26 13:46:24] ppdet.engine INFO: Epoch: [10] [560/732] learning_rate: 0.199515 loss_vfl: 1.450089 loss_bbox: 0.864837 loss_dfl: 0.562968 loss: 2.885099 eta: 2 days, 17:51:12 batch_cost: 1.2365 data_cost: 0.0083 ips: 32.3493 images/s
[07/26 13:46:50] ppdet.engine INFO: Epoch: [10] [580/732] learning_rate: 0.199512 loss_vfl: 1.537608 loss_bbox: 0.860945 loss_dfl: 0.576866 loss: 2.965294 eta: 2 days, 17:50:15 batch_cost: 1.0550 data_cost: 0.0106 ips: 37.9136 images/s
[07/26 13:47:16] ppdet.engine INFO: Epoch: [10] [600/732] learning_rate: 0.199509 loss_vfl: 1.504091 loss_bbox: 0.844997 loss_dfl: 0.567339 loss: 2.921530 eta: 2 days, 17:49:24 batch_cost: 1.0670 data_cost: 0.0040 ips: 37.4900 images/s
[07/26 13:47:42] ppdet.engine INFO: Epoch: [10] [620/732] learning_rate: 0.199506 loss_vfl: 1.482213 loss_bbox: 0.873302 loss_dfl: 0.576132 loss: 2.919849 eta: 2 days, 17:49:02 batch_cost: 1.1204 data_cost: 0.0090 ips: 35.7000 images/s
[07/26 13:48:09] ppdet.engine INFO: Epoch: [10] [640/732] learning_rate: 0.199503 loss_vfl: 1.472115 loss_bbox: 0.886155 loss_dfl: 0.571673 loss: 2.895418 eta: 2 days, 17:48:37 batch_cost: 1.1150 data_cost: 0.0062 ips: 35.8732 images/s
[07/26 13:48:35] ppdet.engine INFO: Epoch: [10] [660/732] learning_rate: 0.199500 loss_vfl: 1.549826 loss_bbox: 0.894207 loss_dfl: 0.587221 loss: 3.007642 eta: 2 days, 17:47:41 batch_cost: 1.0552 data_cost: 0.0049 ips: 37.9060 images/s
[07/26 13:49:02] ppdet.engine INFO: Epoch: [10] [680/732] learning_rate: 0.199497 loss_vfl: 1.504550 loss_bbox: 0.858781 loss_dfl: 0.575547 loss: 2.958760 eta: 2 days, 17:47:14 batch_cost: 1.1107 data_cost: 0.0022 ips: 36.0133 images/s
[07/26 13:49:28] ppdet.engine INFO: Epoch: [10] [700/732] learning_rate: 0.199493 loss_vfl: 1.488347 loss_bbox: 0.842613 loss_dfl: 0.563989 loss: 2.877887 eta: 2 days, 17:47:02 batch_cost: 1.1384 data_cost: 0.0061 ips: 35.1378 images/s
[07/26 13:49:55] ppdet.engine INFO: Epoch: [10] [720/732] learning_rate: 0.199490 loss_vfl: 1.457645 loss_bbox: 0.851181 loss_dfl: 0.558759 loss: 2.857115 eta: 2 days, 17:46:41 batch_cost: 1.1224 data_cost: 0.0094 ips: 35.6368 images/s
[07/26 13:50:17] ppdet.engine INFO: Epoch: [11] [  0/732] learning_rate: 0.199488 loss_vfl: 1.447927 loss_bbox: 0.881056 loss_dfl: 0.579587 loss: 2.937418 eta: 2 days, 17:48:47 batch_cost: 1.3922 data_cost: 0.4974 ips: 28.7305 images/s
[07/26 13:50:47] ppdet.engine INFO: Epoch: [11] [ 20/732] learning_rate: 0.199485 loss_vfl: 1.523278 loss_bbox: 0.862673 loss_dfl: 0.570598 loss: 2.942628 eta: 2 days, 17:50:39 batch_cost: 1.3755 data_cost: 0.0036 ips: 29.0807 images/s
[07/26 13:51:14] ppdet.engine INFO: Epoch: [11] [ 40/732] learning_rate: 0.199482 loss_vfl: 1.507455 loss_bbox: 0.871692 loss_dfl: 0.579571 loss: 2.935256 eta: 2 days, 17:50:24 batch_cost: 1.1345 data_cost: 0.0033 ips: 35.2586 images/s
[07/26 13:51:44] ppdet.engine INFO: Epoch: [11] [ 60/732] learning_rate: 0.199479 loss_vfl: 1.491719 loss_bbox: 0.836685 loss_dfl: 0.561322 loss: 2.880646 eta: 2 days, 17:51:20 batch_cost: 1.2724 data_cost: 0.0020 ips: 31.4375 images/s
[07/26 13:52:10] ppdet.engine INFO: Epoch: [11] [ 80/732] learning_rate: 0.199476 loss_vfl: 1.484835 loss_bbox: 0.830256 loss_dfl: 0.563778 loss: 2.864383 eta: 2 days, 17:50:23 batch_cost: 1.0545 data_cost: 0.0103 ips: 37.9341 images/s
[07/26 13:52:37] ppdet.engine INFO: Epoch: [11] [100/732] learning_rate: 0.199473 loss_vfl: 1.518090 loss_bbox: 0.857942 loss_dfl: 0.568037 loss: 2.915834 eta: 2 days, 17:50:27 batch_cost: 1.1724 data_cost: 0.0026 ips: 34.1184 images/s
[07/26 13:53:04] ppdet.engine INFO: Epoch: [11] [120/732] learning_rate: 0.199470 loss_vfl: 1.491186 loss_bbox: 0.850035 loss_dfl: 0.560455 loss: 2.878858 eta: 2 days, 17:50:18 batch_cost: 1.1466 data_cost: 0.0064 ips: 34.8843 images/s
[07/26 13:53:31] ppdet.engine INFO: Epoch: [11] [140/732] learning_rate: 0.199467 loss_vfl: 1.470964 loss_bbox: 0.847298 loss_dfl: 0.556069 loss: 2.871984 eta: 2 days, 17:50:07 batch_cost: 1.1427 data_cost: 0.0068 ips: 35.0039 images/s
[07/26 13:53:58] ppdet.engine INFO: Epoch: [11] [160/732] learning_rate: 0.199463 loss_vfl: 1.456012 loss_bbox: 0.843112 loss_dfl: 0.558522 loss: 2.870651 eta: 2 days, 17:49:39 batch_cost: 1.1108 data_cost: 0.0061 ips: 36.0097 images/s
[07/26 13:54:26] ppdet.engine INFO: Epoch: [11] [180/732] learning_rate: 0.199460 loss_vfl: 1.453869 loss_bbox: 0.808673 loss_dfl: 0.545340 loss: 2.799325 eta: 2 days, 17:49:58 batch_cost: 1.2018 data_cost: 0.0113 ips: 33.2821 images/s
[07/26 13:54:54] ppdet.engine INFO: Epoch: [11] [200/732] learning_rate: 0.199457 loss_vfl: 1.491403 loss_bbox: 0.847471 loss_dfl: 0.563936 loss: 2.890996 eta: 2 days, 17:49:35 batch_cost: 1.1190 data_cost: 0.0044 ips: 35.7464 images/s
[07/26 13:55:20] ppdet.engine INFO: Epoch: [11] [220/732] learning_rate: 0.199454 loss_vfl: 1.471276 loss_bbox: 0.833717 loss_dfl: 0.559953 loss: 2.874230 eta: 2 days, 17:48:45 batch_cost: 1.0679 data_cost: 0.0085 ips: 37.4577 images/s
[07/26 13:55:48] ppdet.engine INFO: Epoch: [11] [240/732] learning_rate: 0.199451 loss_vfl: 1.531311 loss_bbox: 0.877117 loss_dfl: 0.576672 loss: 2.992799 eta: 2 days, 17:48:07 batch_cost: 1.0902 data_cost: 0.0089 ips: 36.6918 images/s
[07/26 13:56:15] ppdet.engine INFO: Epoch: [11] [260/732] learning_rate: 0.199447 loss_vfl: 1.518135 loss_bbox: 0.869668 loss_dfl: 0.570310 loss: 2.962223 eta: 2 days, 17:47:57 batch_cost: 1.1448 data_cost: 0.0075 ips: 34.9402 images/s
[07/26 13:56:44] ppdet.engine INFO: Epoch: [11] [280/732] learning_rate: 0.199444 loss_vfl: 1.541483 loss_bbox: 0.879419 loss_dfl: 0.577194 loss: 2.945400 eta: 2 days, 17:47:35 batch_cost: 1.1233 data_cost: 0.0119 ips: 35.6086 images/s
[07/26 13:57:12] ppdet.engine INFO: Epoch: [11] [300/732] learning_rate: 0.199441 loss_vfl: 1.515163 loss_bbox: 0.852565 loss_dfl: 0.567398 loss: 2.921340 eta: 2 days, 17:47:32 batch_cost: 1.1595 data_cost: 0.0054 ips: 34.4980 images/s
[07/26 13:57:38] ppdet.engine INFO: Epoch: [11] [320/732] learning_rate: 0.199438 loss_vfl: 1.514942 loss_bbox: 0.859481 loss_dfl: 0.576150 loss: 2.928083 eta: 2 days, 17:46:14 batch_cost: 1.0114 data_cost: 0.0027 ips: 39.5503 images/s
[07/26 13:58:03] ppdet.engine INFO: Epoch: [11] [340/732] learning_rate: 0.199434 loss_vfl: 1.530877 loss_bbox: 0.903446 loss_dfl: 0.595354 loss: 3.007719 eta: 2 days, 17:45:25 batch_cost: 1.0663 data_cost: 0.0087 ips: 37.5116 images/s
[07/26 13:58:30] ppdet.engine INFO: Epoch: [11] [360/732] learning_rate: 0.199431 loss_vfl: 1.490793 loss_bbox: 0.862088 loss_dfl: 0.568529 loss: 2.961779 eta: 2 days, 17:44:26 batch_cost: 1.0487 data_cost: 0.0089 ips: 38.1418 images/s
[07/26 13:58:56] ppdet.engine INFO: Epoch: [11] [380/732] learning_rate: 0.199428 loss_vfl: 1.521901 loss_bbox: 0.875053 loss_dfl: 0.577279 loss: 2.947319 eta: 2 days, 17:43:31 batch_cost: 1.0565 data_cost: 0.0077 ips: 37.8606 images/s
[07/26 13:59:21] ppdet.engine INFO: Epoch: [11] [400/732] learning_rate: 0.199425 loss_vfl: 1.490130 loss_bbox: 0.877002 loss_dfl: 0.567111 loss: 2.906059 eta: 2 days, 17:42:37 batch_cost: 1.0566 data_cost: 0.0059 ips: 37.8576 images/s
[07/26 13:59:47] ppdet.engine INFO: Epoch: [11] [420/732] learning_rate: 0.199421 loss_vfl: 1.437805 loss_bbox: 0.827890 loss_dfl: 0.558515 loss: 2.816652 eta: 2 days, 17:41:22 batch_cost: 1.0156 data_cost: 0.0054 ips: 39.3874 images/s
[07/26 14:00:12] ppdet.engine INFO: Epoch: [11] [440/732] learning_rate: 0.199418 loss_vfl: 1.452590 loss_bbox: 0.858093 loss_dfl: 0.568089 loss: 2.896063 eta: 2 days, 17:40:29 batch_cost: 1.0571 data_cost: 0.0071 ips: 37.8404 images/s
[07/26 14:00:39] ppdet.engine INFO: Epoch: [11] [460/732] learning_rate: 0.199415 loss_vfl: 1.461782 loss_bbox: 0.802205 loss_dfl: 0.537639 loss: 2.779629 eta: 2 days, 17:39:35 batch_cost: 1.0563 data_cost: 0.0073 ips: 37.8681 images/s
[07/26 14:01:06] ppdet.engine INFO: Epoch: [11] [480/732] learning_rate: 0.199411 loss_vfl: 1.418427 loss_bbox: 0.821554 loss_dfl: 0.549089 loss: 2.789181 eta: 2 days, 17:39:05 batch_cost: 1.1058 data_cost: 0.0090 ips: 36.1719 images/s
[07/26 14:01:32] ppdet.engine INFO: Epoch: [11] [500/732] learning_rate: 0.199408 loss_vfl: 1.435659 loss_bbox: 0.851157 loss_dfl: 0.556343 loss: 2.815437 eta: 2 days, 17:38:18 batch_cost: 1.0693 data_cost: 0.0042 ips: 37.4071 images/s
[07/26 14:02:00] ppdet.engine INFO: Epoch: [11] [520/732] learning_rate: 0.199405 loss_vfl: 1.559951 loss_bbox: 0.862963 loss_dfl: 0.583101 loss: 3.010222 eta: 2 days, 17:39:00 batch_cost: 1.2508 data_cost: 0.0117 ips: 31.9808 images/s
[07/26 14:02:25] ppdet.engine INFO: Epoch: [11] [540/732] learning_rate: 0.199401 loss_vfl: 1.488141 loss_bbox: 0.885693 loss_dfl: 0.583669 loss: 2.965911 eta: 2 days, 17:37:52 batch_cost: 1.0262 data_cost: 0.0042 ips: 38.9773 images/s
[07/26 14:02:51] ppdet.engine INFO: Epoch: [11] [560/732] learning_rate: 0.199398 loss_vfl: 1.496417 loss_bbox: 0.885820 loss_dfl: 0.588896 loss: 2.968411 eta: 2 days, 17:37:36 batch_cost: 1.1340 data_cost: 0.0042 ips: 35.2738 images/s
[07/26 14:03:20] ppdet.engine INFO: Epoch: [11] [580/732] learning_rate: 0.199395 loss_vfl: 1.587161 loss_bbox: 0.880125 loss_dfl: 0.598517 loss: 3.113690 eta: 2 days, 17:37:40 batch_cost: 1.1727 data_cost: 0.0072 ips: 34.1086 images/s
[07/26 14:03:45] ppdet.engine INFO: Epoch: [11] [600/732] learning_rate: 0.199391 loss_vfl: 1.498767 loss_bbox: 0.865144 loss_dfl: 0.575696 loss: 2.986403 eta: 2 days, 17:36:27 batch_cost: 1.0165 data_cost: 0.0035 ips: 39.3517 images/s
[07/26 14:04:10] ppdet.engine INFO: Epoch: [11] [620/732] learning_rate: 0.199388 loss_vfl: 1.520810 loss_bbox: 0.858695 loss_dfl: 0.576266 loss: 2.950848 eta: 2 days, 17:35:38 batch_cost: 1.0652 data_cost: 0.0083 ips: 37.5529 images/s
[07/26 14:04:37] ppdet.engine INFO: Epoch: [11] [640/732] learning_rate: 0.199384 loss_vfl: 1.522261 loss_bbox: 0.829880 loss_dfl: 0.556545 loss: 2.868493 eta: 2 days, 17:34:55 batch_cost: 1.0775 data_cost: 0.0049 ips: 37.1234 images/s
[07/26 14:05:04] ppdet.engine INFO: Epoch: [11] [660/732] learning_rate: 0.199381 loss_vfl: 1.557153 loss_bbox: 0.876159 loss_dfl: 0.577747 loss: 2.967925 eta: 2 days, 17:34:20 batch_cost: 1.0925 data_cost: 0.0094 ips: 36.6144 images/s
[07/26 14:05:30] ppdet.engine INFO: Epoch: [11] [680/732] learning_rate: 0.199378 loss_vfl: 1.505088 loss_bbox: 0.868086 loss_dfl: 0.578274 loss: 2.931717 eta: 2 days, 17:33:22 batch_cost: 1.0458 data_cost: 0.0068 ips: 38.2470 images/s
[07/26 14:05:59] ppdet.engine INFO: Epoch: [11] [700/732] learning_rate: 0.199374 loss_vfl: 1.448959 loss_bbox: 0.840907 loss_dfl: 0.559684 loss: 2.839112 eta: 2 days, 17:32:54 batch_cost: 1.1074 data_cost: 0.0088 ips: 36.1193 images/s
[07/26 14:06:24] ppdet.engine INFO: Epoch: [11] [720/732] learning_rate: 0.199371 loss_vfl: 1.527696 loss_bbox: 0.875540 loss_dfl: 0.581921 loss: 2.980994 eta: 2 days, 17:31:39 batch_cost: 1.0098 data_cost: 0.0051 ips: 39.6124 images/s
[07/26 14:06:45] ppdet.engine INFO: Epoch: [12] [  0/732] learning_rate: 0.199369 loss_vfl: 1.501671 loss_bbox: 0.845983 loss_dfl: 0.569736 loss: 2.948260 eta: 2 days, 17:33:21 batch_cost: 1.3177 data_cost: 0.3979 ips: 30.3551 images/s
[07/26 14:07:16] ppdet.engine INFO: Epoch: [12] [ 20/732] learning_rate: 0.199365 loss_vfl: 1.466986 loss_bbox: 0.860479 loss_dfl: 0.571965 loss: 2.894426 eta: 2 days, 17:34:16 batch_cost: 1.2796 data_cost: 0.0137 ips: 31.2586 images/s
[07/26 14:07:44] ppdet.engine INFO: Epoch: [12] [ 40/732] learning_rate: 0.199362 loss_vfl: 1.509963 loss_bbox: 0.844640 loss_dfl: 0.576772 loss: 2.966688 eta: 2 days, 17:33:55 batch_cost: 1.1245 data_cost: 0.0081 ips: 35.5701 images/s
[07/26 14:08:11] ppdet.engine INFO: Epoch: [12] [ 60/732] learning_rate: 0.199358 loss_vfl: 1.514908 loss_bbox: 0.887605 loss_dfl: 0.584980 loss: 2.984978 eta: 2 days, 17:33:16 batch_cost: 1.0842 data_cost: 0.0091 ips: 36.8924 images/s
[07/26 14:08:36] ppdet.engine INFO: Epoch: [12] [ 80/732] learning_rate: 0.199355 loss_vfl: 1.476473 loss_bbox: 0.827744 loss_dfl: 0.551880 loss: 2.873576 eta: 2 days, 17:32:11 batch_cost: 1.0298 data_cost: 0.0052 ips: 38.8418 images/s
[07/26 14:09:05] ppdet.engine INFO: Epoch: [12] [100/732] learning_rate: 0.199351 loss_vfl: 1.415352 loss_bbox: 0.823947 loss_dfl: 0.550168 loss: 2.780149 eta: 2 days, 17:31:26 batch_cost: 1.0726 data_cost: 0.0060 ips: 37.2940 images/s
[07/26 14:09:30] ppdet.engine INFO: Epoch: [12] [120/732] learning_rate: 0.199348 loss_vfl: 1.483258 loss_bbox: 0.856101 loss_dfl: 0.574924 loss: 2.896234 eta: 2 days, 17:31:00 batch_cost: 1.1105 data_cost: 0.0026 ips: 36.0207 images/s
[07/26 14:09:58] ppdet.engine INFO: Epoch: [12] [140/732] learning_rate: 0.199344 loss_vfl: 1.533902 loss_bbox: 0.856589 loss_dfl: 0.569165 loss: 2.911780 eta: 2 days, 17:31:04 batch_cost: 1.1772 data_cost: 0.0047 ips: 33.9795 images/s
[07/26 14:10:24] ppdet.engine INFO: Epoch: [12] [160/732] learning_rate: 0.199341 loss_vfl: 1.486517 loss_bbox: 0.840026 loss_dfl: 0.557680 loss: 2.852814 eta: 2 days, 17:30:31 batch_cost: 1.0970 data_cost: 0.0074 ips: 36.4639 images/s
[07/26 14:10:52] ppdet.engine INFO: Epoch: [12] [180/732] learning_rate: 0.199337 loss_vfl: 1.473103 loss_bbox: 0.825081 loss_dfl: 0.551217 loss: 2.845219 eta: 2 days, 17:30:57 batch_cost: 1.2212 data_cost: 0.0038 ips: 32.7555 images/s
[07/26 14:11:18] ppdet.engine INFO: Epoch: [12] [200/732] learning_rate: 0.199334 loss_vfl: 1.491008 loss_bbox: 0.849673 loss_dfl: 0.562173 loss: 2.923285 eta: 2 days, 17:30:34 batch_cost: 1.1195 data_cost: 0.0074 ips: 35.7310 images/s
[07/26 14:11:43] ppdet.engine INFO: Epoch: [12] [220/732] learning_rate: 0.199330 loss_vfl: 1.446514 loss_bbox: 0.823026 loss_dfl: 0.556948 loss: 2.827057 eta: 2 days, 17:29:36 batch_cost: 1.0438 data_cost: 0.0026 ips: 38.3208 images/s
[07/26 14:12:10] ppdet.engine INFO: Epoch: [12] [240/732] learning_rate: 0.199327 loss_vfl: 1.453028 loss_bbox: 0.845701 loss_dfl: 0.549295 loss: 2.814264 eta: 2 days, 17:29:37 batch_cost: 1.1694 data_cost: 0.0088 ips: 34.2044 images/s
[07/26 14:12:35] ppdet.engine INFO: Epoch: [12] [260/732] learning_rate: 0.199323 loss_vfl: 1.482673 loss_bbox: 0.877672 loss_dfl: 0.577074 loss: 2.947075 eta: 2 days, 17:28:16 batch_cost: 0.9936 data_cost: 0.0104 ips: 40.2582 images/s
[07/26 14:13:02] ppdet.engine INFO: Epoch: [12] [280/732] learning_rate: 0.199319 loss_vfl: 1.455767 loss_bbox: 0.826430 loss_dfl: 0.546461 loss: 2.833538 eta: 2 days, 17:28:09 batch_cost: 1.1518 data_cost: 0.0054 ips: 34.7295 images/s
[07/26 14:13:26] ppdet.engine INFO: Epoch: [12] [300/732] learning_rate: 0.199316 loss_vfl: 1.461680 loss_bbox: 0.834582 loss_dfl: 0.545706 loss: 2.835467 eta: 2 days, 17:26:33 batch_cost: 0.9606 data_cost: 0.0077 ips: 41.6417 images/s
[07/26 14:13:52] ppdet.engine INFO: Epoch: [12] [320/732] learning_rate: 0.199312 loss_vfl: 1.546620 loss_bbox: 0.878845 loss_dfl: 0.586527 loss: 3.005148 eta: 2 days, 17:25:37 batch_cost: 1.0469 data_cost: 0.0119 ips: 38.2090 images/s
[07/26 14:14:20] ppdet.engine INFO: Epoch: [12] [340/732] learning_rate: 0.199309 loss_vfl: 1.466430 loss_bbox: 0.803193 loss_dfl: 0.540389 loss: 2.807308 eta: 2 days, 17:25:39 batch_cost: 1.1708 data_cost: 0.0050 ips: 34.1653 images/s
[07/26 14:14:44] ppdet.engine INFO: Epoch: [12] [360/732] learning_rate: 0.199305 loss_vfl: 1.483829 loss_bbox: 0.871357 loss_dfl: 0.577495 loss: 2.933148 eta: 2 days, 17:24:43 batch_cost: 1.0472 data_cost: 0.0051 ips: 38.1983 images/s
[07/26 14:15:11] ppdet.engine INFO: Epoch: [12] [380/732] learning_rate: 0.199301 loss_vfl: 1.483383 loss_bbox: 0.824880 loss_dfl: 0.560028 loss: 2.877626 eta: 2 days, 17:23:57 batch_cost: 1.0673 data_cost: 0.0053 ips: 37.4765 images/s
[07/26 14:15:38] ppdet.engine INFO: Epoch: [12] [400/732] learning_rate: 0.199298 loss_vfl: 1.491144 loss_bbox: 0.854980 loss_dfl: 0.569175 loss: 2.941408 eta: 2 days, 17:23:34 batch_cost: 1.1168 data_cost: 0.0022 ips: 35.8175 images/s
[07/26 14:16:05] ppdet.engine INFO: Epoch: [12] [420/732] learning_rate: 0.199294 loss_vfl: 1.483010 loss_bbox: 0.835035 loss_dfl: 0.559009 loss: 2.875900 eta: 2 days, 17:23:56 batch_cost: 1.2172 data_cost: 0.0017 ips: 32.8611 images/s
[07/26 14:16:30] ppdet.engine INFO: Epoch: [12] [440/732] learning_rate: 0.199291 loss_vfl: 1.494218 loss_bbox: 0.839903 loss_dfl: 0.563430 loss: 2.864252 eta: 2 days, 17:22:57 batch_cost: 1.0378 data_cost: 0.0035 ips: 38.5438 images/s
[07/26 14:16:57] ppdet.engine INFO: Epoch: [12] [460/732] learning_rate: 0.199287 loss_vfl: 1.473122 loss_bbox: 0.830800 loss_dfl: 0.555813 loss: 2.871274 eta: 2 days, 17:22:16 batch_cost: 1.0793 data_cost: 0.0078 ips: 37.0616 images/s
[07/26 14:17:24] ppdet.engine INFO: Epoch: [12] [480/732] learning_rate: 0.199283 loss_vfl: 1.500000 loss_bbox: 0.835534 loss_dfl: 0.563298 loss: 2.896745 eta: 2 days, 17:22:19 batch_cost: 1.1743 data_cost: 0.0072 ips: 34.0641 images/s
[07/26 14:17:51] ppdet.engine INFO: Epoch: [12] [500/732] learning_rate: 0.199280 loss_vfl: 1.451038 loss_bbox: 0.811495 loss_dfl: 0.545511 loss: 2.826316 eta: 2 days, 17:22:01 batch_cost: 1.1276 data_cost: 0.0117 ips: 35.4738 images/s
[07/26 14:18:15] ppdet.engine INFO: Epoch: [12] [520/732] learning_rate: 0.199276 loss_vfl: 1.512241 loss_bbox: 0.856875 loss_dfl: 0.568405 loss: 2.916790 eta: 2 days, 17:21:20 batch_cost: 1.0783 data_cost: 0.0119 ips: 37.0959 images/s
[07/26 14:18:42] ppdet.engine INFO: Epoch: [12] [540/732] learning_rate: 0.199272 loss_vfl: 1.483074 loss_bbox: 0.849892 loss_dfl: 0.567648 loss: 2.918501 eta: 2 days, 17:20:46 batch_cost: 1.0916 data_cost: 0.0042 ips: 36.6428 images/s
[07/26 14:19:08] ppdet.engine INFO: Epoch: [12] [560/732] learning_rate: 0.199268 loss_vfl: 1.448219 loss_bbox: 0.836299 loss_dfl: 0.559038 loss: 2.870050 eta: 2 days, 17:19:59 batch_cost: 1.0646 data_cost: 0.0042 ips: 37.5727 images/s
[07/26 14:19:33] ppdet.engine INFO: Epoch: [12] [580/732] learning_rate: 0.199265 loss_vfl: 1.467199 loss_bbox: 0.815010 loss_dfl: 0.548470 loss: 2.814653 eta: 2 days, 17:19:15 batch_cost: 1.0707 data_cost: 0.0089 ips: 37.3591 images/s
[07/26 14:19:59] ppdet.engine INFO: Epoch: [12] [600/732] learning_rate: 0.199261 loss_vfl: 1.506461 loss_bbox: 0.856921 loss_dfl: 0.567014 loss: 2.922501 eta: 2 days, 17:18:40 batch_cost: 1.0903 data_cost: 0.0086 ips: 36.6866 images/s
[07/26 14:20:26] ppdet.engine INFO: Epoch: [12] [620/732] learning_rate: 0.199257 loss_vfl: 1.469359 loss_bbox: 0.860694 loss_dfl: 0.576629 loss: 2.930641 eta: 2 days, 17:17:56 batch_cost: 1.0701 data_cost: 0.0124 ips: 37.3798 images/s
[07/26 14:20:52] ppdet.engine INFO: Epoch: [12] [640/732] learning_rate: 0.199254 loss_vfl: 1.500722 loss_bbox: 0.859977 loss_dfl: 0.575664 loss: 2.950085 eta: 2 days, 17:17:25 batch_cost: 1.0997 data_cost: 0.0040 ips: 36.3743 images/s
[07/26 14:21:18] ppdet.engine INFO: Epoch: [12] [660/732] learning_rate: 0.199250 loss_vfl: 1.503847 loss_bbox: 0.874698 loss_dfl: 0.584406 loss: 2.946615 eta: 2 days, 17:16:21 batch_cost: 1.0252 data_cost: 0.0044 ips: 39.0167 images/s
[07/26 14:21:45] ppdet.engine INFO: Epoch: [12] [680/732] learning_rate: 0.199246 loss_vfl: 1.476556 loss_bbox: 0.838591 loss_dfl: 0.561238 loss: 2.853090 eta: 2 days, 17:16:25 batch_cost: 1.1758 data_cost: 0.0151 ips: 34.0199 images/s
[07/26 14:22:12] ppdet.engine INFO: Epoch: [12] [700/732] learning_rate: 0.199242 loss_vfl: 1.504714 loss_bbox: 0.855167 loss_dfl: 0.573343 loss: 2.925492 eta: 2 days, 17:15:52 batch_cost: 1.0952 data_cost: 0.0032 ips: 36.5239 images/s
[07/26 14:22:37] ppdet.engine INFO: Epoch: [12] [720/732] learning_rate: 0.199238 loss_vfl: 1.514779 loss_bbox: 0.858434 loss_dfl: 0.571269 loss: 2.957054 eta: 2 days, 17:14:49 batch_cost: 1.0261 data_cost: 0.0045 ips: 38.9823 images/s
[07/26 14:22:57] ppdet.engine INFO: Epoch: [13] [  0/732] learning_rate: 0.199236 loss_vfl: 1.514090 loss_bbox: 0.870272 loss_dfl: 0.579822 loss: 2.956603 eta: 2 days, 17:16:04 batch_cost: 1.2723 data_cost: 0.4436 ips: 31.4395 images/s
[07/26 14:23:25] ppdet.engine INFO: Epoch: [13] [ 20/732] learning_rate: 0.199232 loss_vfl: 1.488593 loss_bbox: 0.828927 loss_dfl: 0.559377 loss: 2.899302 eta: 2 days, 17:16:21 batch_cost: 1.2083 data_cost: 0.0552 ips: 33.1034 images/s
[07/26 14:23:55] ppdet.engine INFO: Epoch: [13] [ 40/732] learning_rate: 0.199229 loss_vfl: 1.446676 loss_bbox: 0.812484 loss_dfl: 0.529155 loss: 2.741383 eta: 2 days, 17:17:22 batch_cost: 1.3086 data_cost: 0.0033 ips: 30.5673 images/s
[07/26 14:24:21] ppdet.engine INFO: Epoch: [13] [ 60/732] learning_rate: 0.199225 loss_vfl: 1.469057 loss_bbox: 0.848806 loss_dfl: 0.559147 loss: 2.860271 eta: 2 days, 17:17:09 batch_cost: 1.1403 data_cost: 0.0086 ips: 35.0789 images/s
[07/26 14:24:49] ppdet.engine INFO: Epoch: [13] [ 80/732] learning_rate: 0.199221 loss_vfl: 1.432133 loss_bbox: 0.799843 loss_dfl: 0.538979 loss: 2.762415 eta: 2 days, 17:17:22 batch_cost: 1.1986 data_cost: 0.0133 ips: 33.3725 images/s
[07/26 14:25:17] ppdet.engine INFO: Epoch: [13] [100/732] learning_rate: 0.199217 loss_vfl: 1.473088 loss_bbox: 0.862804 loss_dfl: 0.572570 loss: 2.887320 eta: 2 days, 17:17:35 batch_cost: 1.2016 data_cost: 0.0110 ips: 33.2895 images/s
[07/26 14:25:42] ppdet.engine INFO: Epoch: [13] [120/732] learning_rate: 0.199213 loss_vfl: 1.492104 loss_bbox: 0.851560 loss_dfl: 0.571679 loss: 2.914943 eta: 2 days, 17:16:32 batch_cost: 1.0253 data_cost: 0.0057 ips: 39.0136 images/s
[07/26 14:26:08] ppdet.engine INFO: Epoch: [13] [140/732] learning_rate: 0.199209 loss_vfl: 1.473419 loss_bbox: 0.822360 loss_dfl: 0.555857 loss: 2.868845 eta: 2 days, 17:16:21 batch_cost: 1.1450 data_cost: 0.0022 ips: 34.9355 images/s
[07/26 14:26:35] ppdet.engine INFO: Epoch: [13] [160/732] learning_rate: 0.199206 loss_vfl: 1.455579 loss_bbox: 0.836585 loss_dfl: 0.567195 loss: 2.876395 eta: 2 days, 17:16:18 batch_cost: 1.1646 data_cost: 0.0078 ips: 34.3465 images/s
[07/26 14:27:02] ppdet.engine INFO: Epoch: [13] [180/732] learning_rate: 0.199202 loss_vfl: 1.539276 loss_bbox: 0.852119 loss_dfl: 0.579054 loss: 2.965811 eta: 2 days, 17:16:16 batch_cost: 1.1664 data_cost: 0.0062 ips: 34.2935 images/s
[07/26 14:27:29] ppdet.engine INFO: Epoch: [13] [200/732] learning_rate: 0.199198 loss_vfl: 1.457366 loss_bbox: 0.827741 loss_dfl: 0.550192 loss: 2.828656 eta: 2 days, 17:16:02 batch_cost: 1.1395 data_cost: 0.0056 ips: 35.1018 images/s
[07/26 14:27:54] ppdet.engine INFO: Epoch: [13] [220/732] learning_rate: 0.199194 loss_vfl: 1.430051 loss_bbox: 0.832086 loss_dfl: 0.553331 loss: 2.821578 eta: 2 days, 17:15:22 batch_cost: 1.0787 data_cost: 0.0083 ips: 37.0831 images/s
[07/26 14:28:21] ppdet.engine INFO: Epoch: [13] [240/732] learning_rate: 0.199190 loss_vfl: 1.490134 loss_bbox: 0.837952 loss_dfl: 0.564848 loss: 2.899200 eta: 2 days, 17:14:59 batch_cost: 1.1184 data_cost: 0.0042 ips: 35.7656 images/s
[07/26 14:28:47] ppdet.engine INFO: Epoch: [13] [260/732] learning_rate: 0.199186 loss_vfl: 1.422243 loss_bbox: 0.809657 loss_dfl: 0.559460 loss: 2.841946 eta: 2 days, 17:13:52 batch_cost: 1.0137 data_cost: 0.0055 ips: 39.4588 images/s
[07/26 14:29:12] ppdet.engine INFO: Epoch: [13] [280/732] learning_rate: 0.199182 loss_vfl: 1.470929 loss_bbox: 0.839933 loss_dfl: 0.562444 loss: 2.870182 eta: 2 days, 17:13:11 batch_cost: 1.0768 data_cost: 0.0070 ips: 37.1487 images/s
[07/26 14:29:40] ppdet.engine INFO: Epoch: [13] [300/732] learning_rate: 0.199178 loss_vfl: 1.477175 loss_bbox: 0.819823 loss_dfl: 0.554665 loss: 2.852987 eta: 2 days, 17:13:24 batch_cost: 1.2008 data_cost: 0.0076 ips: 33.3105 images/s
[07/26 14:30:06] ppdet.engine INFO: Epoch: [13] [320/732] learning_rate: 0.199174 loss_vfl: 1.455519 loss_bbox: 0.835624 loss_dfl: 0.557726 loss: 2.848471 eta: 2 days, 17:13:03 batch_cost: 1.1245 data_cost: 0.0052 ips: 35.5721 images/s
[07/26 14:30:34] ppdet.engine INFO: Epoch: [13] [340/732] learning_rate: 0.199170 loss_vfl: 1.501309 loss_bbox: 0.830055 loss_dfl: 0.558194 loss: 2.905461 eta: 2 days, 17:13:22 batch_cost: 1.2149 data_cost: 0.0056 ips: 32.9245 images/s
[07/26 14:31:00] ppdet.engine INFO: Epoch: [13] [360/732] learning_rate: 0.199166 loss_vfl: 1.495615 loss_bbox: 0.862798 loss_dfl: 0.574336 loss: 2.940882 eta: 2 days, 17:12:40 batch_cost: 1.0731 data_cost: 0.0073 ips: 37.2766 images/s
[07/26 14:31:26] ppdet.engine INFO: Epoch: [13] [380/732] learning_rate: 0.199163 loss_vfl: 1.536464 loss_bbox: 0.839621 loss_dfl: 0.567063 loss: 2.952552 eta: 2 days, 17:12:05 batch_cost: 1.0894 data_cost: 0.0032 ips: 36.7167 images/s
[07/26 14:31:53] ppdet.engine INFO: Epoch: [13] [400/732] learning_rate: 0.199159 loss_vfl: 1.472847 loss_bbox: 0.813396 loss_dfl: 0.549506 loss: 2.793390 eta: 2 days, 17:12:06 batch_cost: 1.1746 data_cost: 0.0027 ips: 34.0538 images/s
[07/26 14:32:20] ppdet.engine INFO: Epoch: [13] [420/732] learning_rate: 0.199155 loss_vfl: 1.480832 loss_bbox: 0.805033 loss_dfl: 0.551797 loss: 2.842077 eta: 2 days, 17:12:05 batch_cost: 1.1718 data_cost: 0.0020 ips: 34.1359 images/s
[07/26 14:32:47] ppdet.engine INFO: Epoch: [13] [440/732] learning_rate: 0.199151 loss_vfl: 1.520283 loss_bbox: 0.868069 loss_dfl: 0.582505 loss: 2.967354 eta: 2 days, 17:12:05 batch_cost: 1.1730 data_cost: 0.0024 ips: 34.1004 images/s
[07/26 14:33:12] ppdet.engine INFO: Epoch: [13] [460/732] learning_rate: 0.199147 loss_vfl: 1.448286 loss_bbox: 0.835880 loss_dfl: 0.552829 loss: 2.855176 eta: 2 days, 17:10:59 batch_cost: 1.0160 data_cost: 0.0102 ips: 39.3691 images/s
[07/26 14:33:38] ppdet.engine INFO: Epoch: [13] [480/732] learning_rate: 0.199143 loss_vfl: 1.524162 loss_bbox: 0.873878 loss_dfl: 0.574177 loss: 2.969071 eta: 2 days, 17:10:26 batch_cost: 1.0939 data_cost: 0.0050 ips: 36.5666 images/s
[07/26 14:34:04] ppdet.engine INFO: Epoch: [13] [500/732] learning_rate: 0.199139 loss_vfl: 1.450010 loss_bbox: 0.849085 loss_dfl: 0.561851 loss: 2.862596 eta: 2 days, 17:09:49 batch_cost: 1.0826 data_cost: 0.0065 ips: 36.9470 images/s
[07/26 14:34:31] ppdet.engine INFO: Epoch: [13] [520/732] learning_rate: 0.199135 loss_vfl: 1.473554 loss_bbox: 0.817609 loss_dfl: 0.551413 loss: 2.837084 eta: 2 days, 17:09:03 batch_cost: 1.0633 data_cost: 0.0017 ips: 37.6180 images/s
[07/26 14:34:57] ppdet.engine INFO: Epoch: [13] [540/732] learning_rate: 0.199131 loss_vfl: 1.471513 loss_bbox: 0.815387 loss_dfl: 0.551756 loss: 2.840366 eta: 2 days, 17:08:57 batch_cost: 1.1584 data_cost: 0.0082 ips: 34.5311 images/s
[07/26 14:35:23] ppdet.engine INFO: Epoch: [13] [560/732] learning_rate: 0.199126 loss_vfl: 1.490881 loss_bbox: 0.859884 loss_dfl: 0.570435 loss: 2.918469 eta: 2 days, 17:08:23 batch_cost: 1.0922 data_cost: 0.0061 ips: 36.6220 images/s
[07/26 14:35:50] ppdet.engine INFO: Epoch: [13] [580/732] learning_rate: 0.199122 loss_vfl: 1.480623 loss_bbox: 0.819123 loss_dfl: 0.557726 loss: 2.855841 eta: 2 days, 17:08:30 batch_cost: 1.1893 data_cost: 0.0044 ips: 33.6337 images/s
[07/26 14:36:18] ppdet.engine INFO: Epoch: [13] [600/732] learning_rate: 0.199118 loss_vfl: 1.452765 loss_bbox: 0.839630 loss_dfl: 0.560285 loss: 2.839494 eta: 2 days, 17:08:38 batch_cost: 1.1934 data_cost: 0.0027 ips: 33.5174 images/s
[07/26 14:36:44] ppdet.engine INFO: Epoch: [13] [620/732] learning_rate: 0.199114 loss_vfl: 1.479006 loss_bbox: 0.864771 loss_dfl: 0.580895 loss: 2.960001 eta: 2 days, 17:08:26 batch_cost: 1.1448 data_cost: 0.0097 ips: 34.9409 images/s
[07/26 14:37:10] ppdet.engine INFO: Epoch: [13] [640/732] learning_rate: 0.199110 loss_vfl: 1.515044 loss_bbox: 0.833520 loss_dfl: 0.565729 loss: 2.912420 eta: 2 days, 17:07:54 batch_cost: 1.0960 data_cost: 0.0111 ips: 36.4962 images/s
[07/26 14:37:36] ppdet.engine INFO: Epoch: [13] [660/732] learning_rate: 0.199106 loss_vfl: 1.552299 loss_bbox: 0.851724 loss_dfl: 0.571327 loss: 2.965822 eta: 2 days, 17:07:41 batch_cost: 1.1427 data_cost: 0.0083 ips: 35.0040 images/s
[07/26 14:38:03] ppdet.engine INFO: Epoch: [13] [680/732] learning_rate: 0.199102 loss_vfl: 1.407546 loss_bbox: 0.809904 loss_dfl: 0.536312 loss: 2.776052 eta: 2 days, 17:07:43 batch_cost: 1.1778 data_cost: 0.0055 ips: 33.9628 images/s
[07/26 14:38:31] ppdet.engine INFO: Epoch: [13] [700/732] learning_rate: 0.199098 loss_vfl: 1.511796 loss_bbox: 0.814154 loss_dfl: 0.558748 loss: 2.910656 eta: 2 days, 17:07:44 batch_cost: 1.1771 data_cost: 0.0057 ips: 33.9816 images/s
[07/26 14:38:57] ppdet.engine INFO: Epoch: [13] [720/732] learning_rate: 0.199094 loss_vfl: 1.469789 loss_bbox: 0.834645 loss_dfl: 0.563546 loss: 2.890073 eta: 2 days, 17:07:11 batch_cost: 1.0951 data_cost: 0.0079 ips: 36.5258 images/s
[07/26 14:39:21] ppdet.engine INFO: Epoch: [14] [  0/732] learning_rate: 0.199091 loss_vfl: 1.471760 loss_bbox: 0.833563 loss_dfl: 0.563641 loss: 2.872396 eta: 2 days, 17:09:39 batch_cost: 1.4836 data_cost: 0.5530 ips: 26.9615 images/s
[07/26 14:39:50] ppdet.engine INFO: Epoch: [14] [ 20/732] learning_rate: 0.199087 loss_vfl: 1.421294 loss_bbox: 0.831856 loss_dfl: 0.553421 loss: 2.797071 eta: 2 days, 17:09:33 batch_cost: 1.1615 data_cost: 0.0103 ips: 34.4376 images/s
[07/26 14:40:19] ppdet.engine INFO: Epoch: [14] [ 40/732] learning_rate: 0.199083 loss_vfl: 1.472100 loss_bbox: 0.868916 loss_dfl: 0.566700 loss: 2.845615 eta: 2 days, 17:09:32 batch_cost: 1.1739 data_cost: 0.0019 ips: 34.0750 images/s
[07/26 14:40:46] ppdet.engine INFO: Epoch: [14] [ 60/732] learning_rate: 0.199079 loss_vfl: 1.478576 loss_bbox: 0.831018 loss_dfl: 0.559766 loss: 2.872465 eta: 2 days, 17:09:15 batch_cost: 1.1333 data_cost: 0.0053 ips: 35.2940 images/s
[07/26 14:41:14] ppdet.engine INFO: Epoch: [14] [ 80/732] learning_rate: 0.199075 loss_vfl: 1.442909 loss_bbox: 0.831994 loss_dfl: 0.562082 loss: 2.839927 eta: 2 days, 17:08:50 batch_cost: 1.1148 data_cost: 0.0049 ips: 35.8818 images/s
[07/26 14:41:40] ppdet.engine INFO: Epoch: [14] [100/732] learning_rate: 0.199070 loss_vfl: 1.416223 loss_bbox: 0.822861 loss_dfl: 0.548414 loss: 2.805241 eta: 2 days, 17:08:20 batch_cost: 1.1019 data_cost: 0.0034 ips: 36.3012 images/s
[07/26 14:42:06] ppdet.engine INFO: Epoch: [14] [120/732] learning_rate: 0.199066 loss_vfl: 1.461913 loss_bbox: 0.879546 loss_dfl: 0.582766 loss: 2.957840 eta: 2 days, 17:07:37 batch_cost: 1.0690 data_cost: 0.0035 ips: 37.4198 images/s
[07/26 14:42:36] ppdet.engine INFO: Epoch: [14] [140/732] learning_rate: 0.199062 loss_vfl: 1.507675 loss_bbox: 0.832984 loss_dfl: 0.553058 loss: 2.875778 eta: 2 days, 17:08:16 batch_cost: 1.2746 data_cost: 0.0081 ips: 31.3828 images/s
[07/26 14:43:02] ppdet.engine INFO: Epoch: [14] [160/732] learning_rate: 0.199058 loss_vfl: 1.549533 loss_bbox: 0.903201 loss_dfl: 0.604340 loss: 3.062923 eta: 2 days, 17:08:28 batch_cost: 1.2053 data_cost: 0.0039 ips: 33.1862 images/s
[07/26 14:43:29] ppdet.engine INFO: Epoch: [14] [180/732] learning_rate: 0.199054 loss_vfl: 1.425649 loss_bbox: 0.803669 loss_dfl: 0.548613 loss: 2.792579 eta: 2 days, 17:08:12 batch_cost: 1.1368 data_cost: 0.0219 ips: 35.1859 images/s
[07/26 14:43:57] ppdet.engine INFO: Epoch: [14] [200/732] learning_rate: 0.199049 loss_vfl: 1.513024 loss_bbox: 0.857577 loss_dfl: 0.580907 loss: 2.917444 eta: 2 days, 17:08:20 batch_cost: 1.1969 data_cost: 0.0009 ips: 33.4184 images/s
[07/26 14:44:23] ppdet.engine INFO: Epoch: [14] [220/732] learning_rate: 0.199045 loss_vfl: 1.514400 loss_bbox: 0.897068 loss_dfl: 0.593456 loss: 3.022882 eta: 2 days, 17:07:29 batch_cost: 1.0494 data_cost: 0.0070 ips: 38.1159 images/s
[07/26 14:44:49] ppdet.engine INFO: Epoch: [14] [240/732] learning_rate: 0.199041 loss_vfl: 1.448186 loss_bbox: 0.817852 loss_dfl: 0.537715 loss: 2.783467 eta: 2 days, 17:07:03 batch_cost: 1.1132 data_cost: 0.0092 ips: 35.9313 images/s
[07/26 14:45:18] ppdet.engine INFO: Epoch: [14] [260/732] learning_rate: 0.199037 loss_vfl: 1.490577 loss_bbox: 0.805485 loss_dfl: 0.541798 loss: 2.815866 eta: 2 days, 17:07:14 batch_cost: 1.2048 data_cost: 0.0074 ips: 33.2007 images/s
[07/26 14:45:46] ppdet.engine INFO: Epoch: [14] [280/732] learning_rate: 0.199033 loss_vfl: 1.386595 loss_bbox: 0.790973 loss_dfl: 0.540560 loss: 2.714087 eta: 2 days, 17:07:20 batch_cost: 1.1926 data_cost: 0.0034 ips: 33.5404 images/s
[07/26 14:46:13] ppdet.engine INFO: Epoch: [14] [300/732] learning_rate: 0.199028 loss_vfl: 1.536354 loss_bbox: 0.891715 loss_dfl: 0.583624 loss: 3.041116 eta: 2 days, 17:07:30 batch_cost: 1.2025 data_cost: 0.0016 ips: 33.2653 images/s
[07/26 14:46:39] ppdet.engine INFO: Epoch: [14] [320/732] learning_rate: 0.199024 loss_vfl: 1.497127 loss_bbox: 0.851230 loss_dfl: 0.575194 loss: 2.933151 eta: 2 days, 17:06:58 batch_cost: 1.0975 data_cost: 0.0127 ips: 36.4472 images/s
[07/26 14:47:06] ppdet.engine INFO: Epoch: [14] [340/732] learning_rate: 0.199020 loss_vfl: 1.457234 loss_bbox: 0.855325 loss_dfl: 0.560979 loss: 2.863645 eta: 2 days, 17:06:48 batch_cost: 1.1542 data_cost: 0.0044 ips: 34.6549 images/s
[07/26 14:47:34] ppdet.engine INFO: Epoch: [14] [360/732] learning_rate: 0.199015 loss_vfl: 1.510856 loss_bbox: 0.837638 loss_dfl: 0.562325 loss: 2.929613 eta: 2 days, 17:06:47 batch_cost: 1.1750 data_cost: 0.0157 ips: 34.0429 images/s
[07/26 14:48:01] ppdet.engine INFO: Epoch: [14] [380/732] learning_rate: 0.199011 loss_vfl: 1.488647 loss_bbox: 0.823687 loss_dfl: 0.555209 loss: 2.889933 eta: 2 days, 17:06:59 batch_cost: 1.2080 data_cost: 0.0049 ips: 33.1133 images/s
[07/26 14:48:26] ppdet.engine INFO: Epoch: [14] [400/732] learning_rate: 0.199007 loss_vfl: 1.422317 loss_bbox: 0.816856 loss_dfl: 0.538208 loss: 2.801547 eta: 2 days, 17:06:15 batch_cost: 1.0681 data_cost: 0.0071 ips: 37.4503 images/s
[07/26 14:48:52] ppdet.engine INFO: Epoch: [14] [420/732] learning_rate: 0.199002 loss_vfl: 1.527417 loss_bbox: 0.854801 loss_dfl: 0.576284 loss: 2.955714 eta: 2 days, 17:05:28 batch_cost: 1.0591 data_cost: 0.0085 ips: 37.7685 images/s
[07/26 14:49:18] ppdet.engine INFO: Epoch: [14] [440/732] learning_rate: 0.198998 loss_vfl: 1.478919 loss_bbox: 0.849889 loss_dfl: 0.562643 loss: 2.875402 eta: 2 days, 17:05:01 batch_cost: 1.1107 data_cost: 0.0032 ips: 36.0139 images/s
[07/26 14:49:45] ppdet.engine INFO: Epoch: [14] [460/732] learning_rate: 0.198994 loss_vfl: 1.491789 loss_bbox: 0.872376 loss_dfl: 0.588296 loss: 2.971797 eta: 2 days, 17:04:38 batch_cost: 1.1193 data_cost: 0.0039 ips: 35.7378 images/s
[07/26 14:50:13] ppdet.engine INFO: Epoch: [14] [480/732] learning_rate: 0.198989 loss_vfl: 1.408440 loss_bbox: 0.830652 loss_dfl: 0.552485 loss: 2.770806 eta: 2 days, 17:04:27 batch_cost: 1.1503 data_cost: 0.0150 ips: 34.7749 images/s
[07/26 14:50:39] ppdet.engine INFO: Epoch: [14] [500/732] learning_rate: 0.198985 loss_vfl: 1.439979 loss_bbox: 0.809373 loss_dfl: 0.539811 loss: 2.814331 eta: 2 days, 17:03:59 batch_cost: 1.1079 data_cost: 0.0038 ips: 36.1058 images/s
[07/26 14:51:06] ppdet.engine INFO: Epoch: [14] [520/732] learning_rate: 0.198981 loss_vfl: 1.413480 loss_bbox: 0.795017 loss_dfl: 0.547606 loss: 2.787663 eta: 2 days, 17:03:32 batch_cost: 1.1091 data_cost: 0.0035 ips: 36.0641 images/s
[07/26 14:51:32] ppdet.engine INFO: Epoch: [14] [540/732] learning_rate: 0.198976 loss_vfl: 1.417330 loss_bbox: 0.822779 loss_dfl: 0.549432 loss: 2.782646 eta: 2 days, 17:03:06 batch_cost: 1.1130 data_cost: 0.0043 ips: 35.9393 images/s
[07/26 14:51:59] ppdet.engine INFO: Epoch: [14] [560/732] learning_rate: 0.198972 loss_vfl: 1.487459 loss_bbox: 0.832403 loss_dfl: 0.560958 loss: 2.863768 eta: 2 days, 17:02:58 batch_cost: 1.1597 data_cost: 0.0063 ips: 34.4904 images/s
[07/26 14:52:26] ppdet.engine INFO: Epoch: [14] [580/732] learning_rate: 0.198968 loss_vfl: 1.468893 loss_bbox: 0.837027 loss_dfl: 0.566150 loss: 2.877368 eta: 2 days, 17:02:37 batch_cost: 1.1231 data_cost: 0.0076 ips: 35.6141 images/s
[07/26 14:52:52] ppdet.engine INFO: Epoch: [14] [600/732] learning_rate: 0.198963 loss_vfl: 1.485503 loss_bbox: 0.835564 loss_dfl: 0.562527 loss: 2.876584 eta: 2 days, 17:02:14 batch_cost: 1.1210 data_cost: 0.0068 ips: 35.6823 images/s
[07/26 14:53:17] ppdet.engine INFO: Epoch: [14] [620/732] learning_rate: 0.198959 loss_vfl: 1.464273 loss_bbox: 0.832260 loss_dfl: 0.558695 loss: 2.855769 eta: 2 days, 17:01:35 batch_cost: 1.0798 data_cost: 0.0127 ips: 37.0423 images/s
[07/26 14:53:43] ppdet.engine INFO: Epoch: [14] [640/732] learning_rate: 0.198954 loss_vfl: 1.407669 loss_bbox: 0.786926 loss_dfl: 0.527363 loss: 2.702301 eta: 2 days, 17:01:24 batch_cost: 1.1501 data_cost: 0.0085 ips: 34.7809 images/s
[07/26 14:54:10] ppdet.engine INFO: Epoch: [14] [660/732] learning_rate: 0.198950 loss_vfl: 1.445666 loss_bbox: 0.808927 loss_dfl: 0.543805 loss: 2.795740 eta: 2 days, 17:01:06 batch_cost: 1.1332 data_cost: 0.0087 ips: 35.2979 images/s
[07/26 14:54:36] ppdet.engine INFO: Epoch: [14] [680/732] learning_rate: 0.198945 loss_vfl: 1.481648 loss_bbox: 0.838187 loss_dfl: 0.553383 loss: 2.887803 eta: 2 days, 17:00:54 batch_cost: 1.1497 data_cost: 0.0043 ips: 34.7908 images/s
[07/26 14:55:03] ppdet.engine INFO: Epoch: [14] [700/732] learning_rate: 0.198941 loss_vfl: 1.502611 loss_bbox: 0.834884 loss_dfl: 0.562701 loss: 2.898662 eta: 2 days, 17:00:41 batch_cost: 1.1467 data_cost: 0.0055 ips: 34.8821 images/s
[07/26 14:55:29] ppdet.engine INFO: Epoch: [14] [720/732] learning_rate: 0.198936 loss_vfl: 1.483107 loss_bbox: 0.834949 loss_dfl: 0.557645 loss: 2.886250 eta: 2 days, 17:00:05 batch_cost: 1.0848 data_cost: 0.0048 ips: 36.8723 images/s
[07/26 14:55:49] ppdet.engine INFO: Epoch: [15] [  0/732] learning_rate: 0.198934 loss_vfl: 1.435343 loss_bbox: 0.816564 loss_dfl: 0.551463 loss: 2.785415 eta: 2 days, 17:01:07 batch_cost: 1.2830 data_cost: 0.3558 ips: 31.1779 images/s
[07/26 14:56:22] ppdet.engine INFO: Epoch: [15] [ 20/732] learning_rate: 0.198929 loss_vfl: 1.534790 loss_bbox: 0.886540 loss_dfl: 0.598766 loss: 3.034185 eta: 2 days, 17:02:22 batch_cost: 1.3792 data_cost: 0.0044 ips: 29.0020 images/s
[07/26 14:56:48] ppdet.engine INFO: Epoch: [15] [ 40/732] learning_rate: 0.198925 loss_vfl: 1.448768 loss_bbox: 0.839902 loss_dfl: 0.560183 loss: 2.852832 eta: 2 days, 17:01:35 batch_cost: 1.0573 data_cost: 0.0054 ips: 37.8325 images/s
[07/26 14:57:15] ppdet.engine INFO: Epoch: [15] [ 60/732] learning_rate: 0.198920 loss_vfl: 1.482777 loss_bbox: 0.833989 loss_dfl: 0.563252 loss: 2.889222 eta: 2 days, 17:01:23 batch_cost: 1.1515 data_cost: 0.0087 ips: 34.7376 images/s
[07/26 14:57:42] ppdet.engine INFO: Epoch: [15] [ 80/732] learning_rate: 0.198916 loss_vfl: 1.465340 loss_bbox: 0.819775 loss_dfl: 0.554583 loss: 2.824691 eta: 2 days, 17:00:56 batch_cost: 1.1094 data_cost: 0.0044 ips: 36.0555 images/s
[07/26 14:58:10] ppdet.engine INFO: Epoch: [15] [100/732] learning_rate: 0.198911 loss_vfl: 1.468365 loss_bbox: 0.841846 loss_dfl: 0.566101 loss: 2.893562 eta: 2 days, 17:00:43 batch_cost: 1.1484 data_cost: 0.0070 ips: 34.8302 images/s
[07/26 14:58:36] ppdet.engine INFO: Epoch: [15] [120/732] learning_rate: 0.198907 loss_vfl: 1.474273 loss_bbox: 0.830122 loss_dfl: 0.557803 loss: 2.840577 eta: 2 days, 16:59:51 batch_cost: 1.0433 data_cost: 0.0052 ips: 38.3384 images/s
[07/26 14:59:02] ppdet.engine INFO: Epoch: [15] [140/732] learning_rate: 0.198902 loss_vfl: 1.453107 loss_bbox: 0.839976 loss_dfl: 0.553145 loss: 2.830059 eta: 2 days, 16:59:13 batch_cost: 1.0821 data_cost: 0.0131 ips: 36.9655 images/s
[07/26 14:59:30] ppdet.engine INFO: Epoch: [15] [160/732] learning_rate: 0.198898 loss_vfl: 1.478438 loss_bbox: 0.808751 loss_dfl: 0.556592 loss: 2.829736 eta: 2 days, 16:59:05 batch_cost: 1.1596 data_cost: 0.0103 ips: 34.4949 images/s
[07/26 14:59:57] ppdet.engine INFO: Epoch: [15] [180/732] learning_rate: 0.198893 loss_vfl: 1.469774 loss_bbox: 0.830926 loss_dfl: 0.556681 loss: 2.850934 eta: 2 days, 16:58:50 batch_cost: 1.1424 data_cost: 0.0057 ips: 35.0155 images/s
[07/26 15:00:23] ppdet.engine INFO: Epoch: [15] [200/732] learning_rate: 0.198889 loss_vfl: 1.459357 loss_bbox: 0.811787 loss_dfl: 0.545631 loss: 2.787473 eta: 2 days, 16:58:35 batch_cost: 1.1410 data_cost: 0.0011 ips: 35.0565 images/s
[07/26 15:00:52] ppdet.engine INFO: Epoch: [15] [220/732] learning_rate: 0.198884 loss_vfl: 1.457019 loss_bbox: 0.790173 loss_dfl: 0.542214 loss: 2.775366 eta: 2 days, 16:59:08 batch_cost: 1.2728 data_cost: 0.0070 ips: 31.4265 images/s
[07/26 15:01:18] ppdet.engine INFO: Epoch: [15] [240/732] learning_rate: 0.198879 loss_vfl: 1.508590 loss_bbox: 0.871600 loss_dfl: 0.587076 loss: 2.953536 eta: 2 days, 16:59:09 batch_cost: 1.1854 data_cost: 0.0055 ips: 33.7437 images/s
[07/26 15:01:46] ppdet.engine INFO: Epoch: [15] [260/732] learning_rate: 0.198875 loss_vfl: 1.475971 loss_bbox: 0.820968 loss_dfl: 0.551964 loss: 2.839580 eta: 2 days, 16:59:14 batch_cost: 1.1969 data_cost: 0.0085 ips: 33.4192 images/s
[07/26 15:02:12] ppdet.engine INFO: Epoch: [15] [280/732] learning_rate: 0.198870 loss_vfl: 1.453070 loss_bbox: 0.826326 loss_dfl: 0.558686 loss: 2.848480 eta: 2 days, 16:58:54 batch_cost: 1.1287 data_cost: 0.0074 ips: 35.4386 images/s
[07/26 15:02:38] ppdet.engine INFO: Epoch: [15] [300/732] learning_rate: 0.198866 loss_vfl: 1.507478 loss_bbox: 0.855037 loss_dfl: 0.573480 loss: 2.941440 eta: 2 days, 16:58:03 batch_cost: 1.0471 data_cost: 0.0084 ips: 38.2016 images/s
[07/26 15:03:05] ppdet.engine INFO: Epoch: [15] [320/732] learning_rate: 0.198861 loss_vfl: 1.453123 loss_bbox: 0.845910 loss_dfl: 0.562034 loss: 2.847667 eta: 2 days, 16:57:30 batch_cost: 1.0929 data_cost: 0.0076 ips: 36.6013 images/s
[07/26 15:03:32] ppdet.engine INFO: Epoch: [15] [340/732] learning_rate: 0.198856 loss_vfl: 1.482213 loss_bbox: 0.846208 loss_dfl: 0.571004 loss: 2.900671 eta: 2 days, 16:57:43 batch_cost: 1.2197 data_cost: 0.0020 ips: 32.7952 images/s
[07/26 15:03:57] ppdet.engine INFO: Epoch: [15] [360/732] learning_rate: 0.198852 loss_vfl: 1.431712 loss_bbox: 0.800695 loss_dfl: 0.543340 loss: 2.772357 eta: 2 days, 16:56:46 batch_cost: 1.0271 data_cost: 0.0075 ips: 38.9429 images/s
[07/26 15:04:25] ppdet.engine INFO: Epoch: [15] [380/732] learning_rate: 0.198847 loss_vfl: 1.495142 loss_bbox: 0.838624 loss_dfl: 0.579534 loss: 2.954601 eta: 2 days, 16:56:28 batch_cost: 1.1358 data_cost: 0.0055 ips: 35.2185 images/s
[07/26 15:04:50] ppdet.engine INFO: Epoch: [15] [400/732] learning_rate: 0.198842 loss_vfl: 1.443075 loss_bbox: 0.820898 loss_dfl: 0.553960 loss: 2.821925 eta: 2 days, 16:55:40 batch_cost: 1.0539 data_cost: 0.0056 ips: 37.9553 images/s
[07/26 15:05:17] ppdet.engine INFO: Epoch: [15] [420/732] learning_rate: 0.198838 loss_vfl: 1.484075 loss_bbox: 0.843139 loss_dfl: 0.561460 loss: 2.879402 eta: 2 days, 16:55:26 batch_cost: 1.1443 data_cost: 0.0025 ips: 34.9554 images/s
[07/26 15:05:43] ppdet.engine INFO: Epoch: [15] [440/732] learning_rate: 0.198833 loss_vfl: 1.426342 loss_bbox: 0.819746 loss_dfl: 0.549065 loss: 2.795319 eta: 2 days, 16:54:43 batch_cost: 1.0671 data_cost: 0.0040 ips: 37.4845 images/s
[07/26 15:06:12] ppdet.engine INFO: Epoch: [15] [460/732] learning_rate: 0.198828 loss_vfl: 1.518095 loss_bbox: 0.848086 loss_dfl: 0.571894 loss: 2.939331 eta: 2 days, 16:55:04 batch_cost: 1.2404 data_cost: 0.0048 ips: 32.2473 images/s
[07/26 15:06:37] ppdet.engine INFO: Epoch: [15] [480/732] learning_rate: 0.198824 loss_vfl: 1.410788 loss_bbox: 0.780497 loss_dfl: 0.531969 loss: 2.740784 eta: 2 days, 16:54:09 batch_cost: 1.0352 data_cost: 0.0013 ips: 38.6387 images/s
[07/26 15:07:05] ppdet.engine INFO: Epoch: [15] [500/732] learning_rate: 0.198819 loss_vfl: 1.479613 loss_bbox: 0.840336 loss_dfl: 0.566181 loss: 2.875709 eta: 2 days, 16:54:08 batch_cost: 1.1813 data_cost: 0.0058 ips: 33.8606 images/s
[07/26 15:07:30] ppdet.engine INFO: Epoch: [15] [520/732] learning_rate: 0.198814 loss_vfl: 1.467276 loss_bbox: 0.830769 loss_dfl: 0.559007 loss: 2.847178 eta: 2 days, 16:53:16 batch_cost: 1.0404 data_cost: 0.0029 ips: 38.4468 images/s
[07/26 15:07:57] ppdet.engine INFO: Epoch: [15] [540/732] learning_rate: 0.198810 loss_vfl: 1.530449 loss_bbox: 0.858092 loss_dfl: 0.572529 loss: 2.961610 eta: 2 days, 16:53:08 batch_cost: 1.1620 data_cost: 0.0062 ips: 34.4234 images/s
[07/26 15:08:24] ppdet.engine INFO: Epoch: [15] [560/732] learning_rate: 0.198805 loss_vfl: 1.510254 loss_bbox: 0.867089 loss_dfl: 0.575909 loss: 2.940552 eta: 2 days, 16:52:53 batch_cost: 1.1433 data_cost: 0.0040 ips: 34.9870 images/s
[07/26 15:08:48] ppdet.engine INFO: Epoch: [15] [580/732] learning_rate: 0.198800 loss_vfl: 1.438422 loss_bbox: 0.814083 loss_dfl: 0.541056 loss: 2.763074 eta: 2 days, 16:51:58 batch_cost: 1.0337 data_cost: 0.0032 ips: 38.6974 images/s
[07/26 15:09:16] ppdet.engine INFO: Epoch: [15] [600/732] learning_rate: 0.198795 loss_vfl: 1.416537 loss_bbox: 0.834919 loss_dfl: 0.551940 loss: 2.787981 eta: 2 days, 16:51:51 batch_cost: 1.1655 data_cost: 0.0051 ips: 34.3208 images/s
[07/26 15:09:43] ppdet.engine INFO: Epoch: [15] [620/732] learning_rate: 0.198791 loss_vfl: 1.449310 loss_bbox: 0.804744 loss_dfl: 0.539079 loss: 2.800251 eta: 2 days, 16:51:17 batch_cost: 1.0887 data_cost: 0.0041 ips: 36.7417 images/s
[07/26 15:10:10] ppdet.engine INFO: Epoch: [15] [640/732] learning_rate: 0.198786 loss_vfl: 1.485535 loss_bbox: 0.828019 loss_dfl: 0.558278 loss: 2.888478 eta: 2 days, 16:50:41 batch_cost: 1.0845 data_cost: 0.0069 ips: 36.8844 images/s
[07/26 15:10:37] ppdet.engine INFO: Epoch: [15] [660/732] learning_rate: 0.198781 loss_vfl: 1.529884 loss_bbox: 0.854327 loss_dfl: 0.578467 loss: 2.964762 eta: 2 days, 16:50:21 batch_cost: 1.1314 data_cost: 0.0027 ips: 35.3539 images/s
[07/26 15:11:03] ppdet.engine INFO: Epoch: [15] [680/732] learning_rate: 0.198776 loss_vfl: 1.533285 loss_bbox: 0.853179 loss_dfl: 0.580899 loss: 2.977654 eta: 2 days, 16:49:45 batch_cost: 1.0833 data_cost: 0.0041 ips: 36.9238 images/s
[07/26 15:11:28] ppdet.engine INFO: Epoch: [15] [700/732] learning_rate: 0.198772 loss_vfl: 1.428645 loss_bbox: 0.831623 loss_dfl: 0.545140 loss: 2.791309 eta: 2 days, 16:49:15 batch_cost: 1.1006 data_cost: 0.0033 ips: 36.3442 images/s
[07/26 15:11:54] ppdet.engine INFO: Epoch: [15] [720/732] learning_rate: 0.198767 loss_vfl: 1.476077 loss_bbox: 0.842143 loss_dfl: 0.567505 loss: 2.899740 eta: 2 days, 16:48:29 batch_cost: 1.0557 data_cost: 0.0075 ips: 37.8893 images/s
[07/26 15:12:16] ppdet.engine INFO: Epoch: [16] [  0/732] learning_rate: 0.198764 loss_vfl: 1.464386 loss_bbox: 0.848395 loss_dfl: 0.566879 loss: 2.879058 eta: 2 days, 16:50:11 batch_cost: 1.3720 data_cost: 0.5603 ips: 29.1550 images/s
[07/26 15:12:46] ppdet.engine INFO: Epoch: [16] [ 20/732] learning_rate: 0.198759 loss_vfl: 1.468876 loss_bbox: 0.828737 loss_dfl: 0.551531 loss: 2.828459 eta: 2 days, 16:50:26 batch_cost: 1.2291 data_cost: 0.0091 ips: 32.5448 images/s
[07/26 15:13:13] ppdet.engine INFO: Epoch: [16] [ 40/732] learning_rate: 0.198754 loss_vfl: 1.483554 loss_bbox: 0.844535 loss_dfl: 0.566476 loss: 2.898937 eta: 2 days, 16:50:02 batch_cost: 1.1192 data_cost: 0.0027 ips: 35.7399 images/s
[07/26 15:13:39] ppdet.engine INFO: Epoch: [16] [ 60/732] learning_rate: 0.198749 loss_vfl: 1.508740 loss_bbox: 0.869004 loss_dfl: 0.578764 loss: 2.963553 eta: 2 days, 16:49:30 batch_cost: 1.0954 data_cost: 0.0075 ips: 36.5175 images/s
[07/26 15:14:07] ppdet.engine INFO: Epoch: [16] [ 80/732] learning_rate: 0.198745 loss_vfl: 1.439422 loss_bbox: 0.812305 loss_dfl: 0.556512 loss: 2.809337 eta: 2 days, 16:49:10 batch_cost: 1.1287 data_cost: 0.0077 ips: 35.4378 images/s
[07/26 15:14:35] ppdet.engine INFO: Epoch: [16] [100/732] learning_rate: 0.198740 loss_vfl: 1.418531 loss_bbox: 0.821126 loss_dfl: 0.552720 loss: 2.789939 eta: 2 days, 16:49:09 batch_cost: 1.1854 data_cost: 0.0065 ips: 33.7444 images/s
[07/26 15:15:02] ppdet.engine INFO: Epoch: [16] [120/732] learning_rate: 0.198735 loss_vfl: 1.510787 loss_bbox: 0.826380 loss_dfl: 0.562710 loss: 2.883026 eta: 2 days, 16:49:03 batch_cost: 1.1699 data_cost: 0.0041 ips: 34.1901 images/s
[07/26 15:15:30] ppdet.engine INFO: Epoch: [16] [140/732] learning_rate: 0.198730 loss_vfl: 1.476225 loss_bbox: 0.777889 loss_dfl: 0.540466 loss: 2.792067 eta: 2 days, 16:49:04 batch_cost: 1.1884 data_cost: 0.0155 ips: 33.6594 images/s
[07/26 15:15:58] ppdet.engine INFO: Epoch: [16] [160/732] learning_rate: 0.198725 loss_vfl: 1.453525 loss_bbox: 0.823027 loss_dfl: 0.540974 loss: 2.815367 eta: 2 days, 16:48:54 batch_cost: 1.1607 data_cost: 0.0075 ips: 34.4618 images/s
[07/26 15:16:25] ppdet.engine INFO: Epoch: [16] [180/732] learning_rate: 0.198720 loss_vfl: 1.486549 loss_bbox: 0.854972 loss_dfl: 0.559799 loss: 2.866422 eta: 2 days, 16:48:50 batch_cost: 1.1760 data_cost: 0.0018 ips: 34.0139 images/s
[07/26 15:16:51] ppdet.engine INFO: Epoch: [16] [200/732] learning_rate: 0.198715 loss_vfl: 1.448695 loss_bbox: 0.862037 loss_dfl: 0.567139 loss: 2.821331 eta: 2 days, 16:48:00 batch_cost: 1.0447 data_cost: 0.0080 ips: 38.2885 images/s
[07/26 15:17:19] ppdet.engine INFO: Epoch: [16] [220/732] learning_rate: 0.198710 loss_vfl: 1.507269 loss_bbox: 0.847424 loss_dfl: 0.570546 loss: 2.928770 eta: 2 days, 16:47:42 batch_cost: 1.1356 data_cost: 0.0090 ips: 35.2228 images/s
[07/26 15:17:47] ppdet.engine INFO: Epoch: [16] [240/732] learning_rate: 0.198705 loss_vfl: 1.506629 loss_bbox: 0.877343 loss_dfl: 0.581948 loss: 2.992869 eta: 2 days, 16:47:55 batch_cost: 1.2254 data_cost: 0.0028 ips: 32.6436 images/s
[07/26 15:18:12] ppdet.engine INFO: Epoch: [16] [260/732] learning_rate: 0.198700 loss_vfl: 1.415523 loss_bbox: 0.831785 loss_dfl: 0.564205 loss: 2.855533 eta: 2 days, 16:47:32 batch_cost: 1.1208 data_cost: 0.0169 ips: 35.6886 images/s
[07/26 15:18:40] ppdet.engine INFO: Epoch: [16] [280/732] learning_rate: 0.198696 loss_vfl: 1.507463 loss_bbox: 0.870322 loss_dfl: 0.574141 loss: 2.942879 eta: 2 days, 16:47:19 batch_cost: 1.1507 data_cost: 0.0048 ips: 34.7625 images/s
[07/26 15:19:07] ppdet.engine INFO: Epoch: [16] [300/732] learning_rate: 0.198691 loss_vfl: 1.423948 loss_bbox: 0.784614 loss_dfl: 0.534406 loss: 2.763479 eta: 2 days, 16:47:05 batch_cost: 1.1482 data_cost: 0.0023 ips: 34.8359 images/s
[07/26 15:19:33] ppdet.engine INFO: Epoch: [16] [320/732] learning_rate: 0.198686 loss_vfl: 1.385175 loss_bbox: 0.801476 loss_dfl: 0.540887 loss: 2.735219 eta: 2 days, 16:46:27 batch_cost: 1.0789 data_cost: 0.0074 ips: 37.0733 images/s
[07/26 15:20:00] ppdet.engine INFO: Epoch: [16] [340/732] learning_rate: 0.198681 loss_vfl: 1.499606 loss_bbox: 0.855289 loss_dfl: 0.567687 loss: 2.906015 eta: 2 days, 16:45:44 batch_cost: 1.0645 data_cost: 0.0160 ips: 37.5765 images/s
[07/26 15:20:27] ppdet.engine INFO: Epoch: [16] [360/732] learning_rate: 0.198676 loss_vfl: 1.457217 loss_bbox: 0.801977 loss_dfl: 0.543034 loss: 2.799860 eta: 2 days, 16:45:36 batch_cost: 1.1644 data_cost: 0.0037 ips: 34.3518 images/s
[07/26 15:20:53] ppdet.engine INFO: Epoch: [16] [380/732] learning_rate: 0.198671 loss_vfl: 1.472568 loss_bbox: 0.854369 loss_dfl: 0.574824 loss: 2.905822 eta: 2 days, 16:44:40 batch_cost: 1.0253 data_cost: 0.0051 ips: 39.0142 images/s
[07/26 15:21:19] ppdet.engine INFO: Epoch: [16] [400/732] learning_rate: 0.198666 loss_vfl: 1.478632 loss_bbox: 0.857948 loss_dfl: 0.569887 loss: 2.917394 eta: 2 days, 16:43:50 batch_cost: 1.0430 data_cost: 0.0045 ips: 38.3502 images/s
[07/26 15:21:47] ppdet.engine INFO: Epoch: [16] [420/732] learning_rate: 0.198661 loss_vfl: 1.421924 loss_bbox: 0.825858 loss_dfl: 0.543189 loss: 2.807964 eta: 2 days, 16:43:19 batch_cost: 1.0994 data_cost: 0.0048 ips: 36.3842 images/s
[07/26 15:22:13] ppdet.engine INFO: Epoch: [16] [440/732] learning_rate: 0.198656 loss_vfl: 1.500557 loss_bbox: 0.864232 loss_dfl: 0.589400 loss: 2.955070 eta: 2 days, 16:42:53 batch_cost: 1.1126 data_cost: 0.0079 ips: 35.9503 images/s
[07/26 15:22:39] ppdet.engine INFO: Epoch: [16] [460/732] learning_rate: 0.198651 loss_vfl: 1.450456 loss_bbox: 0.815658 loss_dfl: 0.540228 loss: 2.791642 eta: 2 days, 16:42:04 batch_cost: 1.0426 data_cost: 0.0099 ips: 38.3638 images/s
[07/26 15:23:06] ppdet.engine INFO: Epoch: [16] [480/732] learning_rate: 0.198646 loss_vfl: 1.437767 loss_bbox: 0.800626 loss_dfl: 0.542747 loss: 2.814252 eta: 2 days, 16:41:51 batch_cost: 1.1527 data_cost: 0.0085 ips: 34.6998 images/s
[07/26 15:23:33] ppdet.engine INFO: Epoch: [16] [500/732] learning_rate: 0.198641 loss_vfl: 1.455595 loss_bbox: 0.841906 loss_dfl: 0.561644 loss: 2.866520 eta: 2 days, 16:41:10 batch_cost: 1.0666 data_cost: 0.0081 ips: 37.5030 images/s
[07/26 15:24:00] ppdet.engine INFO: Epoch: [16] [520/732] learning_rate: 0.198636 loss_vfl: 1.528925 loss_bbox: 0.894838 loss_dfl: 0.591160 loss: 2.985188 eta: 2 days, 16:40:52 batch_cost: 1.1374 data_cost: 0.0056 ips: 35.1688 images/s
[07/26 15:24:25] ppdet.engine INFO: Epoch: [16] [540/732] learning_rate: 0.198630 loss_vfl: 1.401116 loss_bbox: 0.803185 loss_dfl: 0.538796 loss: 2.738864 eta: 2 days, 16:40:16 batch_cost: 1.0828 data_cost: 0.0021 ips: 36.9417 images/s
[07/26 15:24:53] ppdet.engine INFO: Epoch: [16] [560/732] learning_rate: 0.198625 loss_vfl: 1.406634 loss_bbox: 0.818171 loss_dfl: 0.544651 loss: 2.761295 eta: 2 days, 16:40:28 batch_cost: 1.2252 data_cost: 0.0039 ips: 32.6487 images/s
[07/26 15:25:20] ppdet.engine INFO: Epoch: [16] [580/732] learning_rate: 0.198620 loss_vfl: 1.469734 loss_bbox: 0.837426 loss_dfl: 0.567943 loss: 2.861370 eta: 2 days, 16:40:13 batch_cost: 1.1450 data_cost: 0.0036 ips: 34.9352 images/s
[07/26 15:25:46] ppdet.engine INFO: Epoch: [16] [600/732] learning_rate: 0.198615 loss_vfl: 1.511416 loss_bbox: 0.864551 loss_dfl: 0.595362 loss: 2.998142 eta: 2 days, 16:39:13 batch_cost: 1.0098 data_cost: 0.0051 ips: 39.6126 images/s
[07/26 15:26:15] ppdet.engine INFO: Epoch: [16] [620/732] learning_rate: 0.198610 loss_vfl: 1.530441 loss_bbox: 0.865006 loss_dfl: 0.587316 loss: 2.998215 eta: 2 days, 16:39:00 batch_cost: 1.1517 data_cost: 0.0027 ips: 34.7318 images/s
[07/26 15:26:40] ppdet.engine INFO: Epoch: [16] [640/732] learning_rate: 0.198605 loss_vfl: 1.489601 loss_bbox: 0.840836 loss_dfl: 0.560415 loss: 2.892167 eta: 2 days, 16:38:03 batch_cost: 1.0214 data_cost: 0.0096 ips: 39.1623 images/s
[07/26 15:27:05] ppdet.engine INFO: Epoch: [16] [660/732] learning_rate: 0.198600 loss_vfl: 1.472158 loss_bbox: 0.846173 loss_dfl: 0.565876 loss: 2.888279 eta: 2 days, 16:36:55 batch_cost: 0.9863 data_cost: 0.0033 ips: 40.5576 images/s
[07/26 15:27:33] ppdet.engine INFO: Epoch: [16] [680/732] learning_rate: 0.198595 loss_vfl: 1.427814 loss_bbox: 0.812489 loss_dfl: 0.550535 loss: 2.832938 eta: 2 days, 16:36:51 batch_cost: 1.1789 data_cost: 0.0089 ips: 33.9289 images/s
[07/26 15:27:59] ppdet.engine INFO: Epoch: [16] [700/732] learning_rate: 0.198590 loss_vfl: 1.428598 loss_bbox: 0.794133 loss_dfl: 0.537886 loss: 2.828233 eta: 2 days, 16:36:25 batch_cost: 1.1116 data_cost: 0.0039 ips: 35.9830 images/s
[07/26 15:28:26] ppdet.engine INFO: Epoch: [16] [720/732] learning_rate: 0.198585 loss_vfl: 1.449383 loss_bbox: 0.819710 loss_dfl: 0.549273 loss: 2.813725 eta: 2 days, 16:36:11 batch_cost: 1.1483 data_cost: 0.0058 ips: 34.8349 images/s
[07/26 15:28:49] ppdet.engine INFO: Epoch: [17] [  0/732] learning_rate: 0.198581 loss_vfl: 1.488361 loss_bbox: 0.809481 loss_dfl: 0.542585 loss: 2.838872 eta: 2 days, 16:37:39 batch_cost: 1.4657 data_cost: 0.2456 ips: 27.2906 images/s
[07/26 15:29:18] ppdet.engine INFO: Epoch: [17] [ 20/732] learning_rate: 0.198576 loss_vfl: 1.450644 loss_bbox: 0.811481 loss_dfl: 0.551299 loss: 2.799224 eta: 2 days, 16:37:41 batch_cost: 1.1949 data_cost: 0.0130 ips: 33.4743 images/s
[07/26 15:29:44] ppdet.engine INFO: Epoch: [17] [ 40/732] learning_rate: 0.198571 loss_vfl: 1.406276 loss_bbox: 0.833432 loss_dfl: 0.556341 loss: 2.777980 eta: 2 days, 16:36:56 batch_cost: 1.0575 data_cost: 0.0054 ips: 37.8233 images/s
[07/26 15:30:12] ppdet.engine INFO: Epoch: [17] [ 60/732] learning_rate: 0.198566 loss_vfl: 1.453900 loss_bbox: 0.836376 loss_dfl: 0.556974 loss: 2.848577 eta: 2 days, 16:36:37 batch_cost: 1.1313 data_cost: 0.0079 ips: 35.3569 images/s
[07/26 15:30:40] ppdet.engine INFO: Epoch: [17] [ 80/732] learning_rate: 0.198561 loss_vfl: 1.414765 loss_bbox: 0.813643 loss_dfl: 0.547525 loss: 2.833128 eta: 2 days, 16:36:44 batch_cost: 1.2127 data_cost: 0.0035 ips: 32.9845 images/s
[07/26 15:31:07] ppdet.engine INFO: Epoch: [17] [100/732] learning_rate: 0.198556 loss_vfl: 1.395593 loss_bbox: 0.776761 loss_dfl: 0.525848 loss: 2.707629 eta: 2 days, 16:36:17 batch_cost: 1.1087 data_cost: 0.0050 ips: 36.0772 images/s
[07/26 15:31:33] ppdet.engine INFO: Epoch: [17] [120/732] learning_rate: 0.198550 loss_vfl: 1.424600 loss_bbox: 0.832846 loss_dfl: 0.555237 loss: 2.822120 eta: 2 days, 16:35:18 batch_cost: 1.0140 data_cost: 0.0041 ips: 39.4494 images/s
[07/26 15:32:00] ppdet.engine INFO: Epoch: [17] [140/732] learning_rate: 0.198545 loss_vfl: 1.514285 loss_bbox: 0.815180 loss_dfl: 0.553132 loss: 2.879169 eta: 2 days, 16:35:06 batch_cost: 1.1539 data_cost: 0.0065 ips: 34.6645 images/s
[07/26 15:32:27] ppdet.engine INFO: Epoch: [17] [160/732] learning_rate: 0.198540 loss_vfl: 1.393678 loss_bbox: 0.830784 loss_dfl: 0.563501 loss: 2.824414 eta: 2 days, 16:34:47 batch_cost: 1.1331 data_cost: 0.0121 ips: 35.3006 images/s
[07/26 15:32:55] ppdet.engine INFO: Epoch: [17] [180/732] learning_rate: 0.198535 loss_vfl: 1.494010 loss_bbox: 0.836540 loss_dfl: 0.568414 loss: 2.908290 eta: 2 days, 16:34:55 batch_cost: 1.2164 data_cost: 0.0054 ips: 32.8834 images/s
[07/26 15:33:20] ppdet.engine INFO: Epoch: [17] [200/732] learning_rate: 0.198529 loss_vfl: 1.465649 loss_bbox: 0.820249 loss_dfl: 0.551378 loss: 2.841355 eta: 2 days, 16:33:59 batch_cost: 1.0214 data_cost: 0.0018 ips: 39.1601 images/s
[07/26 15:33:46] ppdet.engine INFO: Epoch: [17] [220/732] learning_rate: 0.198524 loss_vfl: 1.465852 loss_bbox: 0.843144 loss_dfl: 0.582654 loss: 2.904785 eta: 2 days, 16:33:27 batch_cost: 1.0935 data_cost: 0.0045 ips: 36.5811 images/s
[07/26 15:34:14] ppdet.engine INFO: Epoch: [17] [240/732] learning_rate: 0.198519 loss_vfl: 1.482265 loss_bbox: 0.830351 loss_dfl: 0.560626 loss: 2.892436 eta: 2 days, 16:33:08 batch_cost: 1.1340 data_cost: 0.0033 ips: 35.2736 images/s
[07/26 15:34:40] ppdet.engine INFO: Epoch: [17] [260/732] learning_rate: 0.198514 loss_vfl: 1.448741 loss_bbox: 0.807459 loss_dfl: 0.540052 loss: 2.800853 eta: 2 days, 16:32:46 batch_cost: 1.1249 data_cost: 0.0042 ips: 35.5583 images/s
[07/26 15:35:07] ppdet.engine INFO: Epoch: [17] [280/732] learning_rate: 0.198508 loss_vfl: 1.467613 loss_bbox: 0.873729 loss_dfl: 0.581294 loss: 2.931269 eta: 2 days, 16:32:12 batch_cost: 1.0881 data_cost: 0.0068 ips: 36.7608 images/s
[07/26 15:35:34] ppdet.engine INFO: Epoch: [17] [300/732] learning_rate: 0.198503 loss_vfl: 1.421609 loss_bbox: 0.811793 loss_dfl: 0.544471 loss: 2.771701 eta: 2 days, 16:31:29 batch_cost: 1.0587 data_cost: 0.0083 ips: 37.7829 images/s
[07/26 15:36:01] ppdet.engine INFO: Epoch: [17] [320/732] learning_rate: 0.198498 loss_vfl: 1.453756 loss_bbox: 0.817315 loss_dfl: 0.550401 loss: 2.792806 eta: 2 days, 16:31:12 batch_cost: 1.1393 data_cost: 0.0018 ips: 35.1106 images/s
[07/26 15:36:28] ppdet.engine INFO: Epoch: [17] [340/732] learning_rate: 0.198492 loss_vfl: 1.477889 loss_bbox: 0.847743 loss_dfl: 0.566778 loss: 2.842736 eta: 2 days, 16:30:51 batch_cost: 1.1300 data_cost: 0.0075 ips: 35.3987 images/s
[07/26 15:36:55] ppdet.engine INFO: Epoch: [17] [360/732] learning_rate: 0.198487 loss_vfl: 1.413532 loss_bbox: 0.798881 loss_dfl: 0.539411 loss: 2.779201 eta: 2 days, 16:30:37 batch_cost: 1.1473 data_cost: 0.0057 ips: 34.8650 images/s
[07/26 15:37:21] ppdet.engine INFO: Epoch: [17] [380/732] learning_rate: 0.198482 loss_vfl: 1.386799 loss_bbox: 0.793673 loss_dfl: 0.534296 loss: 2.721581 eta: 2 days, 16:30:00 batch_cost: 1.0772 data_cost: 0.0079 ips: 37.1329 images/s
[07/26 15:37:47] ppdet.engine INFO: Epoch: [17] [400/732] learning_rate: 0.198476 loss_vfl: 1.469551 loss_bbox: 0.862888 loss_dfl: 0.572207 loss: 2.911016 eta: 2 days, 16:29:02 batch_cost: 1.0145 data_cost: 0.0060 ips: 39.4297 images/s
[07/26 15:38:13] ppdet.engine INFO: Epoch: [17] [420/732] learning_rate: 0.198471 loss_vfl: 1.427948 loss_bbox: 0.830056 loss_dfl: 0.560051 loss: 2.834996 eta: 2 days, 16:28:32 batch_cost: 1.0974 data_cost: 0.0042 ips: 36.4508 images/s
[07/26 15:38:39] ppdet.engine INFO: Epoch: [17] [440/732] learning_rate: 0.198466 loss_vfl: 1.451082 loss_bbox: 0.845579 loss_dfl: 0.566087 loss: 2.840037 eta: 2 days, 16:27:47 batch_cost: 1.0549 data_cost: 0.0083 ips: 37.9177 images/s
[07/26 15:39:05] ppdet.engine INFO: Epoch: [17] [460/732] learning_rate: 0.198460 loss_vfl: 1.453569 loss_bbox: 0.829247 loss_dfl: 0.562361 loss: 2.875036 eta: 2 days, 16:27:22 batch_cost: 1.1125 data_cost: 0.0104 ips: 35.9550 images/s
[07/26 15:39:33] ppdet.engine INFO: Epoch: [17] [480/732] learning_rate: 0.198455 loss_vfl: 1.485361 loss_bbox: 0.828597 loss_dfl: 0.564630 loss: 2.908894 eta: 2 days, 16:27:14 batch_cost: 1.1693 data_cost: 0.0109 ips: 34.2092 images/s
[07/26 15:39:59] ppdet.engine INFO: Epoch: [17] [500/732] learning_rate: 0.198450 loss_vfl: 1.478967 loss_bbox: 0.852694 loss_dfl: 0.573221 loss: 2.899728 eta: 2 days, 16:26:38 batch_cost: 1.0799 data_cost: 0.0184 ips: 37.0388 images/s
[07/26 15:40:24] ppdet.engine INFO: Epoch: [17] [520/732] learning_rate: 0.198444 loss_vfl: 1.482090 loss_bbox: 0.835171 loss_dfl: 0.566694 loss: 2.916646 eta: 2 days, 16:25:30 batch_cost: 0.9802 data_cost: 0.0077 ips: 40.8060 images/s
[07/26 15:40:49] ppdet.engine INFO: Epoch: [17] [540/732] learning_rate: 0.198439 loss_vfl: 1.459851 loss_bbox: 0.827506 loss_dfl: 0.556542 loss: 2.863924 eta: 2 days, 16:24:44 batch_cost: 1.0493 data_cost: 0.0049 ips: 38.1217 images/s
[07/26 15:41:15] ppdet.engine INFO: Epoch: [17] [560/732] learning_rate: 0.198433 loss_vfl: 1.467708 loss_bbox: 0.844150 loss_dfl: 0.564517 loss: 2.857886 eta: 2 days, 16:23:52 batch_cost: 1.0265 data_cost: 0.0081 ips: 38.9659 images/s
[07/26 15:41:42] ppdet.engine INFO: Epoch: [17] [580/732] learning_rate: 0.198428 loss_vfl: 1.540888 loss_bbox: 0.903927 loss_dfl: 0.602845 loss: 3.062588 eta: 2 days, 16:22:51 batch_cost: 1.0025 data_cost: 0.0091 ips: 39.9019 images/s
[07/26 15:42:09] ppdet.engine INFO: Epoch: [17] [600/732] learning_rate: 0.198423 loss_vfl: 1.504673 loss_bbox: 0.844426 loss_dfl: 0.567709 loss: 2.939554 eta: 2 days, 16:22:41 batch_cost: 1.1617 data_cost: 0.0149 ips: 34.4311 images/s
[07/26 15:42:35] ppdet.engine INFO: Epoch: [17] [620/732] learning_rate: 0.198417 loss_vfl: 1.443165 loss_bbox: 0.800069 loss_dfl: 0.543878 loss: 2.798571 eta: 2 days, 16:21:54 batch_cost: 1.0424 data_cost: 0.0040 ips: 38.3724 images/s
[07/26 15:43:02] ppdet.engine INFO: Epoch: [17] [640/732] learning_rate: 0.198412 loss_vfl: 1.440896 loss_bbox: 0.831648 loss_dfl: 0.555821 loss: 2.832412 eta: 2 days, 16:21:32 batch_cost: 1.1232 data_cost: 0.0070 ips: 35.6111 images/s
[07/26 15:43:28] ppdet.engine INFO: Epoch: [17] [660/732] learning_rate: 0.198406 loss_vfl: 1.459088 loss_bbox: 0.791440 loss_dfl: 0.545321 loss: 2.776323 eta: 2 days, 16:21:02 batch_cost: 1.0997 data_cost: 0.0043 ips: 36.3739 images/s
[07/26 15:43:54] ppdet.engine INFO: Epoch: [17] [680/732] learning_rate: 0.198401 loss_vfl: 1.413128 loss_bbox: 0.812093 loss_dfl: 0.550004 loss: 2.798264 eta: 2 days, 16:20:32 batch_cost: 1.0959 data_cost: 0.0059 ips: 36.5013 images/s
[07/26 15:44:20] ppdet.engine INFO: Epoch: [17] [700/732] learning_rate: 0.198395 loss_vfl: 1.494047 loss_bbox: 0.843580 loss_dfl: 0.564715 loss: 2.918298 eta: 2 days, 16:20:01 batch_cost: 1.0956 data_cost: 0.0102 ips: 36.5093 images/s
[07/26 15:44:46] ppdet.engine INFO: Epoch: [17] [720/732] learning_rate: 0.198390 loss_vfl: 1.458889 loss_bbox: 0.828550 loss_dfl: 0.567736 loss: 2.874094 eta: 2 days, 16:19:23 batch_cost: 1.0715 data_cost: 0.0059 ips: 37.3302 images/s
[07/26 15:45:08] ppdet.engine INFO: Epoch: [18] [  0/732] learning_rate: 0.198387 loss_vfl: 1.514006 loss_bbox: 0.854792 loss_dfl: 0.582712 loss: 2.940514 eta: 2 days, 16:20:49 batch_cost: 1.4673 data_cost: 0.4333 ips: 27.2604 images/s
[07/26 15:45:37] ppdet.engine INFO: Epoch: [18] [ 20/732] learning_rate: 0.198381 loss_vfl: 1.441559 loss_bbox: 0.838073 loss_dfl: 0.558369 loss: 2.839402 eta: 2 days, 16:21:00 batch_cost: 1.2272 data_cost: 0.0055 ips: 32.5944 images/s
[07/26 15:46:04] ppdet.engine INFO: Epoch: [18] [ 40/732] learning_rate: 0.198376 loss_vfl: 1.439478 loss_bbox: 0.809104 loss_dfl: 0.547773 loss: 2.798614 eta: 2 days, 16:20:32 batch_cost: 1.1047 data_cost: 0.0038 ips: 36.2105 images/s
[07/26 15:46:29] ppdet.engine INFO: Epoch: [18] [ 60/732] learning_rate: 0.198370 loss_vfl: 1.358834 loss_bbox: 0.793576 loss_dfl: 0.529527 loss: 2.672880 eta: 2 days, 16:19:45 batch_cost: 1.0438 data_cost: 0.0054 ips: 38.3215 images/s
[07/26 15:46:55] ppdet.engine INFO: Epoch: [18] [ 80/732] learning_rate: 0.198365 loss_vfl: 1.428288 loss_bbox: 0.800899 loss_dfl: 0.536754 loss: 2.770803 eta: 2 days, 16:18:39 batch_cost: 0.9838 data_cost: 0.0089 ips: 40.6578 images/s
[07/26 15:47:23] ppdet.engine INFO: Epoch: [18] [100/732] learning_rate: 0.198359 loss_vfl: 1.410630 loss_bbox: 0.796049 loss_dfl: 0.535221 loss: 2.707119 eta: 2 days, 16:18:42 batch_cost: 1.2015 data_cost: 0.0061 ips: 33.2905 images/s
[07/26 15:47:50] ppdet.engine INFO: Epoch: [18] [120/732] learning_rate: 0.198353 loss_vfl: 1.412729 loss_bbox: 0.815424 loss_dfl: 0.534845 loss: 2.752099 eta: 2 days, 16:18:22 batch_cost: 1.1316 data_cost: 0.0027 ips: 35.3470 images/s
[07/26 15:48:18] ppdet.engine INFO: Epoch: [18] [140/732] learning_rate: 0.198348 loss_vfl: 1.477786 loss_bbox: 0.842978 loss_dfl: 0.565573 loss: 2.880909 eta: 2 days, 16:17:51 batch_cost: 1.0950 data_cost: 0.0059 ips: 36.5289 images/s
[07/26 15:48:43] ppdet.engine INFO: Epoch: [18] [160/732] learning_rate: 0.198342 loss_vfl: 1.427663 loss_bbox: 0.811351 loss_dfl: 0.547163 loss: 2.773576 eta: 2 days, 16:17:20 batch_cost: 1.0948 data_cost: 0.0101 ips: 36.5363 images/s
[07/26 15:49:12] ppdet.engine INFO: Epoch: [18] [180/732] learning_rate: 0.198337 loss_vfl: 1.412597 loss_bbox: 0.810916 loss_dfl: 0.543993 loss: 2.744594 eta: 2 days, 16:17:00 batch_cost: 1.1298 data_cost: 0.0035 ips: 35.4038 images/s
[07/26 15:49:37] ppdet.engine INFO: Epoch: [18] [200/732] learning_rate: 0.198331 loss_vfl: 1.399730 loss_bbox: 0.783987 loss_dfl: 0.530976 loss: 2.704781 eta: 2 days, 16:16:08 batch_cost: 1.0246 data_cost: 0.0039 ips: 39.0403 images/s
[07/26 15:50:03] ppdet.engine INFO: Epoch: [18] [220/732] learning_rate: 0.198326 loss_vfl: 1.466189 loss_bbox: 0.838981 loss_dfl: 0.558594 loss: 2.861938 eta: 2 days, 16:15:06 batch_cost: 0.9943 data_cost: 0.0044 ips: 40.2277 images/s
[07/26 15:50:31] ppdet.engine INFO: Epoch: [18] [240/732] learning_rate: 0.198320 loss_vfl: 1.464608 loss_bbox: 0.881857 loss_dfl: 0.584439 loss: 2.919373 eta: 2 days, 16:14:59 batch_cost: 1.1709 data_cost: 0.0048 ips: 34.1605 images/s
[07/26 15:50:58] ppdet.engine INFO: Epoch: [18] [260/732] learning_rate: 0.198314 loss_vfl: 1.427234 loss_bbox: 0.834173 loss_dfl: 0.565694 loss: 2.883769 eta: 2 days, 16:14:37 batch_cost: 1.1228 data_cost: 0.0064 ips: 35.6257 images/s
[07/26 15:51:25] ppdet.engine INFO: Epoch: [18] [280/732] learning_rate: 0.198309 loss_vfl: 1.463754 loss_bbox: 0.857247 loss_dfl: 0.566899 loss: 2.879064 eta: 2 days, 16:14:20 batch_cost: 1.1395 data_cost: 0.0086 ips: 35.1019 images/s
[07/26 15:51:52] ppdet.engine INFO: Epoch: [18] [300/732] learning_rate: 0.198303 loss_vfl: 1.421398 loss_bbox: 0.811749 loss_dfl: 0.540912 loss: 2.793310 eta: 2 days, 16:14:01 batch_cost: 1.1330 data_cost: 0.0030 ips: 35.3048 images/s
[07/26 15:52:18] ppdet.engine INFO: Epoch: [18] [320/732] learning_rate: 0.198297 loss_vfl: 1.439447 loss_bbox: 0.813339 loss_dfl: 0.554275 loss: 2.802187 eta: 2 days, 16:13:22 batch_cost: 1.0685 data_cost: 0.0072 ips: 37.4374 images/s
[07/26 15:52:44] ppdet.engine INFO: Epoch: [18] [340/732] learning_rate: 0.198292 loss_vfl: 1.407338 loss_bbox: 0.803927 loss_dfl: 0.544247 loss: 2.742773 eta: 2 days, 16:12:58 batch_cost: 1.1156 data_cost: 0.0036 ips: 35.8549 images/s
[07/26 15:53:13] ppdet.engine INFO: Epoch: [18] [360/732] learning_rate: 0.198286 loss_vfl: 1.490392 loss_bbox: 0.853773 loss_dfl: 0.575390 loss: 2.945350 eta: 2 days, 16:13:05 batch_cost: 1.2187 data_cost: 0.0071 ips: 32.8228 images/s
[07/26 15:53:40] ppdet.engine INFO: Epoch: [18] [380/732] learning_rate: 0.198280 loss_vfl: 1.466276 loss_bbox: 0.845783 loss_dfl: 0.566846 loss: 2.886963 eta: 2 days, 16:12:35 batch_cost: 1.0979 data_cost: 0.0050 ips: 36.4341 images/s
[07/26 15:54:07] ppdet.engine INFO: Epoch: [18] [400/732] learning_rate: 0.198275 loss_vfl: 1.493128 loss_bbox: 0.836764 loss_dfl: 0.563245 loss: 2.891060 eta: 2 days, 16:12:25 batch_cost: 1.1643 data_cost: 0.0185 ips: 34.3558 images/s
[07/26 15:54:34] ppdet.engine INFO: Epoch: [18] [420/732] learning_rate: 0.198269 loss_vfl: 1.450853 loss_bbox: 0.802035 loss_dfl: 0.545333 loss: 2.803945 eta: 2 days, 16:12:10 batch_cost: 1.1437 data_cost: 0.0169 ips: 34.9734 images/s
[07/26 15:55:01] ppdet.engine INFO: Epoch: [18] [440/732] learning_rate: 0.198263 loss_vfl: 1.469695 loss_bbox: 0.840881 loss_dfl: 0.566346 loss: 2.887642 eta: 2 days, 16:11:51 batch_cost: 1.1336 data_cost: 0.0077 ips: 35.2857 images/s
[07/26 15:55:29] ppdet.engine INFO: Epoch: [18] [460/732] learning_rate: 0.198258 loss_vfl: 1.536209 loss_bbox: 0.863444 loss_dfl: 0.591148 loss: 2.978389 eta: 2 days, 16:11:40 batch_cost: 1.1619 data_cost: 0.0039 ips: 34.4274 images/s
[07/26 15:55:56] ppdet.engine INFO: Epoch: [18] [480/732] learning_rate: 0.198252 loss_vfl: 1.444545 loss_bbox: 0.810041 loss_dfl: 0.548832 loss: 2.811808 eta: 2 days, 16:11:26 batch_cost: 1.1509 data_cost: 0.0074 ips: 34.7549 images/s
[07/26 15:56:24] ppdet.engine INFO: Epoch: [18] [500/732] learning_rate: 0.198246 loss_vfl: 1.446205 loss_bbox: 0.843877 loss_dfl: 0.552886 loss: 2.804385 eta: 2 days, 16:10:50 batch_cost: 1.0758 data_cost: 0.0056 ips: 37.1807 images/s
[07/26 15:56:50] ppdet.engine INFO: Epoch: [18] [520/732] learning_rate: 0.198241 loss_vfl: 1.441008 loss_bbox: 0.832669 loss_dfl: 0.559405 loss: 2.836378 eta: 2 days, 16:10:26 batch_cost: 1.1168 data_cost: 0.0084 ips: 35.8177 images/s
[07/26 15:57:15] ppdet.engine INFO: Epoch: [18] [540/732] learning_rate: 0.198235 loss_vfl: 1.452615 loss_bbox: 0.842431 loss_dfl: 0.571063 loss: 2.834456 eta: 2 days, 16:09:51 batch_cost: 1.0798 data_cost: 0.0038 ips: 37.0432 images/s
[07/26 15:57:41] ppdet.engine INFO: Epoch: [18] [560/732] learning_rate: 0.198229 loss_vfl: 1.386096 loss_bbox: 0.813947 loss_dfl: 0.537336 loss: 2.723842 eta: 2 days, 16:09:15 batch_cost: 1.0767 data_cost: 0.0067 ips: 37.1515 images/s
[07/26 15:58:08] ppdet.engine INFO: Epoch: [18] [580/732] learning_rate: 0.198223 loss_vfl: 1.407660 loss_bbox: 0.827551 loss_dfl: 0.559367 loss: 2.818552 eta: 2 days, 16:08:41 batch_cost: 1.0835 data_cost: 0.0013 ips: 36.9180 images/s
[07/26 15:58:34] ppdet.engine INFO: Epoch: [18] [600/732] learning_rate: 0.198218 loss_vfl: 1.456580 loss_bbox: 0.850952 loss_dfl: 0.572849 loss: 2.899527 eta: 2 days, 16:08:11 batch_cost: 1.0973 data_cost: 0.0064 ips: 36.4535 images/s
[07/26 15:59:02] ppdet.engine INFO: Epoch: [18] [620/732] learning_rate: 0.198212 loss_vfl: 1.388255 loss_bbox: 0.775380 loss_dfl: 0.526587 loss: 2.685968 eta: 2 days, 16:07:53 batch_cost: 1.1363 data_cost: 0.0097 ips: 35.2022 images/s
[07/26 15:59:29] ppdet.engine INFO: Epoch: [18] [640/732] learning_rate: 0.198206 loss_vfl: 1.374314 loss_bbox: 0.792572 loss_dfl: 0.536499 loss: 2.698135 eta: 2 days, 16:07:22 batch_cost: 1.0915 data_cost: 0.0023 ips: 36.6453 images/s
[07/26 15:59:54] ppdet.engine INFO: Epoch: [18] [660/732] learning_rate: 0.198200 loss_vfl: 1.455376 loss_bbox: 0.800454 loss_dfl: 0.553134 loss: 2.826849 eta: 2 days, 16:06:34 batch_cost: 1.0358 data_cost: 0.0067 ips: 38.6179 images/s
[07/26 16:00:21] ppdet.engine INFO: Epoch: [18] [680/732] learning_rate: 0.198194 loss_vfl: 1.456240 loss_bbox: 0.844885 loss_dfl: 0.560706 loss: 2.867617 eta: 2 days, 16:06:08 batch_cost: 1.1090 data_cost: 0.0046 ips: 36.0702 images/s
[07/26 16:00:48] ppdet.engine INFO: Epoch: [18] [700/732] learning_rate: 0.198189 loss_vfl: 1.529844 loss_bbox: 0.869612 loss_dfl: 0.579723 loss: 2.968645 eta: 2 days, 16:06:12 batch_cost: 1.2132 data_cost: 0.0034 ips: 32.9693 images/s
[07/26 16:01:13] ppdet.engine INFO: Epoch: [18] [720/732] learning_rate: 0.198183 loss_vfl: 1.441153 loss_bbox: 0.820904 loss_dfl: 0.552418 loss: 2.825595 eta: 2 days, 16:05:26 batch_cost: 1.0416 data_cost: 0.0081 ips: 38.4033 images/s
[07/26 16:01:36] ppdet.engine INFO: Epoch: [19] [  0/732] learning_rate: 0.198179 loss_vfl: 1.498227 loss_bbox: 0.861910 loss_dfl: 0.572244 loss: 2.901680 eta: 2 days, 16:06:57 batch_cost: 1.4172 data_cost: 0.5885 ips: 28.2255 images/s
[07/26 16:02:04] ppdet.engine INFO: Epoch: [19] [ 20/732] learning_rate: 0.198173 loss_vfl: 1.430593 loss_bbox: 0.806026 loss_dfl: 0.547524 loss: 2.793146 eta: 2 days, 16:06:46 batch_cost: 1.1593 data_cost: 0.0062 ips: 34.5039 images/s
[07/26 16:02:30] ppdet.engine INFO: Epoch: [19] [ 40/732] learning_rate: 0.198168 loss_vfl: 1.428742 loss_bbox: 0.796127 loss_dfl: 0.542583 loss: 2.717953 eta: 2 days, 16:06:09 batch_cost: 1.0745 data_cost: 0.0037 ips: 37.2277 images/s
[07/26 16:02:58] ppdet.engine INFO: Epoch: [19] [ 60/732] learning_rate: 0.198162 loss_vfl: 1.466723 loss_bbox: 0.853218 loss_dfl: 0.573012 loss: 2.877273 eta: 2 days, 16:05:40 batch_cost: 1.0999 data_cost: 0.0098 ips: 36.3681 images/s
[07/26 16:03:26] ppdet.engine INFO: Epoch: [19] [ 80/732] learning_rate: 0.198156 loss_vfl: 1.374645 loss_bbox: 0.806405 loss_dfl: 0.535852 loss: 2.720398 eta: 2 days, 16:05:49 batch_cost: 1.2275 data_cost: 0.0054 ips: 32.5855 images/s
[07/26 16:03:53] ppdet.engine INFO: Epoch: [19] [100/732] learning_rate: 0.198150 loss_vfl: 1.412369 loss_bbox: 0.794310 loss_dfl: 0.544483 loss: 2.775765 eta: 2 days, 16:05:07 batch_cost: 1.0544 data_cost: 0.0036 ips: 37.9380 images/s
[07/26 16:04:20] ppdet.engine INFO: Epoch: [19] [120/732] learning_rate: 0.198144 loss_vfl: 1.428868 loss_bbox: 0.841319 loss_dfl: 0.560948 loss: 2.847572 eta: 2 days, 16:04:54 batch_cost: 1.1571 data_cost: 0.0024 ips: 34.5697 images/s
[07/26 16:04:45] ppdet.engine INFO: Epoch: [19] [140/732] learning_rate: 0.198138 loss_vfl: 1.465283 loss_bbox: 0.804836 loss_dfl: 0.546117 loss: 2.817855 eta: 2 days, 16:04:07 batch_cost: 1.0363 data_cost: 0.0038 ips: 38.6003 images/s
[07/26 16:05:14] ppdet.engine INFO: Epoch: [19] [160/732] learning_rate: 0.198132 loss_vfl: 1.416278 loss_bbox: 0.832844 loss_dfl: 0.557634 loss: 2.807026 eta: 2 days, 16:04:17 batch_cost: 1.2328 data_cost: 0.0053 ips: 32.4461 images/s
[07/26 16:05:41] ppdet.engine INFO: Epoch: [19] [180/732] learning_rate: 0.198126 loss_vfl: 1.442286 loss_bbox: 0.852547 loss_dfl: 0.564560 loss: 2.831945 eta: 2 days, 16:03:54 batch_cost: 1.1210 data_cost: 0.0035 ips: 35.6825 images/s
[07/26 16:06:07] ppdet.engine INFO: Epoch: [19] [200/732] learning_rate: 0.198120 loss_vfl: 1.459807 loss_bbox: 0.828832 loss_dfl: 0.555075 loss: 2.851269 eta: 2 days, 16:03:15 batch_cost: 1.0653 data_cost: 0.0068 ips: 37.5465 images/s
[07/26 16:06:34] ppdet.engine INFO: Epoch: [19] [220/732] learning_rate: 0.198115 loss_vfl: 1.438283 loss_bbox: 0.827889 loss_dfl: 0.563498 loss: 2.841236 eta: 2 days, 16:02:38 batch_cost: 1.0728 data_cost: 0.0104 ips: 37.2846 images/s
[07/26 16:07:02] ppdet.engine INFO: Epoch: [19] [240/732] learning_rate: 0.198109 loss_vfl: 1.411676 loss_bbox: 0.815680 loss_dfl: 0.551439 loss: 2.791335 eta: 2 days, 16:02:20 batch_cost: 1.1370 data_cost: 0.0076 ips: 35.1801 images/s
[07/26 16:07:29] ppdet.engine INFO: Epoch: [19] [260/732] learning_rate: 0.198103 loss_vfl: 1.415544 loss_bbox: 0.788837 loss_dfl: 0.527326 loss: 2.713353 eta: 2 days, 16:01:53 batch_cost: 1.1050 data_cost: 0.0072 ips: 36.1976 images/s
[07/26 16:07:57] ppdet.engine INFO: Epoch: [19] [280/732] learning_rate: 0.198097 loss_vfl: 1.359601 loss_bbox: 0.783955 loss_dfl: 0.530787 loss: 2.690445 eta: 2 days, 16:01:46 batch_cost: 1.1760 data_cost: 0.0055 ips: 34.0131 images/s
[07/26 16:08:24] ppdet.engine INFO: Epoch: [19] [300/732] learning_rate: 0.198091 loss_vfl: 1.416715 loss_bbox: 0.794016 loss_dfl: 0.540186 loss: 2.775927 eta: 2 days, 16:01:39 batch_cost: 1.1774 data_cost: 0.0048 ips: 33.9718 images/s
[07/26 16:08:49] ppdet.engine INFO: Epoch: [19] [320/732] learning_rate: 0.198085 loss_vfl: 1.450823 loss_bbox: 0.834147 loss_dfl: 0.562116 loss: 2.861811 eta: 2 days, 16:00:56 batch_cost: 1.0503 data_cost: 0.0055 ips: 38.0858 images/s
[07/26 16:09:17] ppdet.engine INFO: Epoch: [19] [340/732] learning_rate: 0.198079 loss_vfl: 1.405667 loss_bbox: 0.819080 loss_dfl: 0.557180 loss: 2.792423 eta: 2 days, 16:00:55 batch_cost: 1.1975 data_cost: 0.0074 ips: 33.4027 images/s
[07/26 16:09:46] ppdet.engine INFO: Epoch: [19] [360/732] learning_rate: 0.198073 loss_vfl: 1.471999 loss_bbox: 0.832208 loss_dfl: 0.567681 loss: 2.892162 eta: 2 days, 16:01:21 batch_cost: 1.2904 data_cost: 0.0065 ips: 30.9988 images/s
[07/26 16:10:14] ppdet.engine INFO: Epoch: [19] [380/732] learning_rate: 0.198067 loss_vfl: 1.529467 loss_bbox: 0.883372 loss_dfl: 0.589166 loss: 3.016052 eta: 2 days, 16:01:15 batch_cost: 1.1802 data_cost: 0.0061 ips: 33.8930 images/s
[07/26 16:10:40] ppdet.engine INFO: Epoch: [19] [400/732] learning_rate: 0.198061 loss_vfl: 1.429323 loss_bbox: 0.851904 loss_dfl: 0.564992 loss: 2.834519 eta: 2 days, 16:00:47 batch_cost: 1.1027 data_cost: 0.0126 ips: 36.2754 images/s
[07/26 16:11:07] ppdet.engine INFO: Epoch: [19] [420/732] learning_rate: 0.198055 loss_vfl: 1.475542 loss_bbox: 0.813091 loss_dfl: 0.553601 loss: 2.864638 eta: 2 days, 16:00:17 batch_cost: 1.0946 data_cost: 0.0068 ips: 36.5447 images/s
[07/26 16:11:34] ppdet.engine INFO: Epoch: [19] [440/732] learning_rate: 0.198049 loss_vfl: 1.431656 loss_bbox: 0.795310 loss_dfl: 0.543591 loss: 2.772988 eta: 2 days, 16:00:05 batch_cost: 1.1608 data_cost: 0.0059 ips: 34.4578 images/s
[07/26 16:12:02] ppdet.engine INFO: Epoch: [19] [460/732] learning_rate: 0.198043 loss_vfl: 1.440170 loss_bbox: 0.819602 loss_dfl: 0.555752 loss: 2.836758 eta: 2 days, 16:00:12 batch_cost: 1.2237 data_cost: 0.0076 ips: 32.6875 images/s
[07/26 16:12:29] ppdet.engine INFO: Epoch: [19] [480/732] learning_rate: 0.198037 loss_vfl: 1.420855 loss_bbox: 0.807392 loss_dfl: 0.539414 loss: 2.755624 eta: 2 days, 16:00:08 batch_cost: 1.1871 data_cost: 0.0032 ips: 33.6948 images/s
[07/26 16:12:53] ppdet.engine INFO: Epoch: [19] [500/732] learning_rate: 0.198031 loss_vfl: 1.389251 loss_bbox: 0.798123 loss_dfl: 0.532455 loss: 2.736500 eta: 2 days, 15:59:20 batch_cost: 1.0344 data_cost: 0.0091 ips: 38.6694 images/s
[07/26 16:13:20] ppdet.engine INFO: Epoch: [19] [520/732] learning_rate: 0.198024 loss_vfl: 1.394872 loss_bbox: 0.779817 loss_dfl: 0.537824 loss: 2.732280 eta: 2 days, 15:59:06 batch_cost: 1.1526 data_cost: 0.0007 ips: 34.7044 images/s
[07/26 16:13:46] ppdet.engine INFO: Epoch: [19] [540/732] learning_rate: 0.198018 loss_vfl: 1.410037 loss_bbox: 0.785337 loss_dfl: 0.541234 loss: 2.741441 eta: 2 days, 15:58:47 batch_cost: 1.1351 data_cost: 0.0059 ips: 35.2378 images/s
[07/26 16:14:13] ppdet.engine INFO: Epoch: [19] [560/732] learning_rate: 0.198012 loss_vfl: 1.473333 loss_bbox: 0.837592 loss_dfl: 0.565655 loss: 2.865278 eta: 2 days, 15:58:30 batch_cost: 1.1395 data_cost: 0.0104 ips: 35.1041 images/s
[07/26 16:14:38] ppdet.engine INFO: Epoch: [19] [580/732] learning_rate: 0.198006 loss_vfl: 1.486211 loss_bbox: 0.812555 loss_dfl: 0.548386 loss: 2.842831 eta: 2 days, 15:57:39 batch_cost: 1.0235 data_cost: 0.0054 ips: 39.0830 images/s
[07/26 16:15:06] ppdet.engine INFO: Epoch: [19] [600/732] learning_rate: 0.198000 loss_vfl: 1.383865 loss_bbox: 0.776940 loss_dfl: 0.518836 loss: 2.666737 eta: 2 days, 15:57:37 batch_cost: 1.1945 data_cost: 0.0072 ips: 33.4863 images/s
[07/26 16:15:33] ppdet.engine INFO: Epoch: [19] [620/732] learning_rate: 0.197994 loss_vfl: 1.469365 loss_bbox: 0.825080 loss_dfl: 0.561066 loss: 2.854456 eta: 2 days, 15:57:29 batch_cost: 1.1744 data_cost: 0.0060 ips: 34.0605 images/s
[07/26 16:16:00] ppdet.engine INFO: Epoch: [19] [640/732] learning_rate: 0.197988 loss_vfl: 1.434182 loss_bbox: 0.833292 loss_dfl: 0.559268 loss: 2.789127 eta: 2 days, 15:56:59 batch_cost: 1.0960 data_cost: 0.0120 ips: 36.4966 images/s
[07/26 16:16:27] ppdet.engine INFO: Epoch: [19] [660/732] learning_rate: 0.197982 loss_vfl: 1.370340 loss_bbox: 0.811530 loss_dfl: 0.554833 loss: 2.748238 eta: 2 days, 15:56:48 batch_cost: 1.1643 data_cost: 0.0076 ips: 34.3563 images/s
[07/26 16:16:55] ppdet.engine INFO: Epoch: [19] [680/732] learning_rate: 0.197976 loss_vfl: 1.456205 loss_bbox: 0.808051 loss_dfl: 0.554580 loss: 2.840724 eta: 2 days, 15:56:35 batch_cost: 1.1567 data_cost: 0.0063 ips: 34.5805 images/s
[07/26 16:17:22] ppdet.engine INFO: Epoch: [19] [700/732] learning_rate: 0.197969 loss_vfl: 1.423120 loss_bbox: 0.810476 loss_dfl: 0.548096 loss: 2.785124 eta: 2 days, 15:56:03 batch_cost: 1.0873 data_cost: 0.0073 ips: 36.7874 images/s
[07/26 16:17:49] ppdet.engine INFO: Epoch: [19] [720/732] learning_rate: 0.197963 loss_vfl: 1.431605 loss_bbox: 0.786459 loss_dfl: 0.543194 loss: 2.807615 eta: 2 days, 15:55:47 batch_cost: 1.1468 data_cost: 0.0099 ips: 34.8796 images/s
[07/26 16:18:02] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/26 16:18:02] ppdet.engine INFO: Eval iter: 0
[07/26 16:18:27] ppdet.engine INFO: Eval iter: 100
[07/26 16:18:42] ppdet.engine INFO: Eval iter: 200
[07/26 16:18:56] ppdet.engine INFO: Eval iter: 300
[07/26 16:19:10] ppdet.engine INFO: Eval iter: 400
[07/26 16:19:24] ppdet.engine INFO: Eval iter: 500
[07/26 16:19:38] ppdet.engine INFO: Eval iter: 600
[07/26 16:19:55] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.65s)
creating index...
index created!
[07/26 16:19:56] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.15s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=95.92s).
Accumulating evaluation results...
DONE (t=19.75s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.133
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.221
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.139
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.060
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.138
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.191
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.185
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.316
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.332
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.117
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.356
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.501
[07/26 16:21:59] ppdet.engine INFO: Total sample number: 4952, averge FPS: 49.581435267874625
[07/26 16:21:59] ppdet.engine INFO: Best test bbox ap is 0.133.
[07/26 16:21:59] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/26 16:22:00] ppdet.engine INFO: Epoch: [20] [  0/732] learning_rate: 0.197960 loss_vfl: 1.452106 loss_bbox: 0.800304 loss_dfl: 0.546879 loss: 2.803805 eta: 2 days, 15:54:43 batch_cost: 0.9305 data_cost: 0.0044 ips: 42.9854 images/s
[07/26 16:22:26] ppdet.engine INFO: Epoch: [20] [ 20/732] learning_rate: 0.197953 loss_vfl: 1.464096 loss_bbox: 0.853158 loss_dfl: 0.568627 loss: 2.924429 eta: 2 days, 15:53:50 batch_cost: 1.0139 data_cost: 0.0040 ips: 39.4512 images/s
[07/26 16:22:52] ppdet.engine INFO: Epoch: [20] [ 40/732] learning_rate: 0.197947 loss_vfl: 1.480416 loss_bbox: 0.847004 loss_dfl: 0.570917 loss: 2.889912 eta: 2 days, 15:53:18 batch_cost: 1.0869 data_cost: 0.0098 ips: 36.8004 images/s
[07/26 16:23:19] ppdet.engine INFO: Epoch: [20] [ 60/732] learning_rate: 0.197941 loss_vfl: 1.372161 loss_bbox: 0.801949 loss_dfl: 0.540184 loss: 2.737412 eta: 2 days, 15:52:39 batch_cost: 1.0658 data_cost: 0.0071 ips: 37.5314 images/s
[07/26 16:23:46] ppdet.engine INFO: Epoch: [20] [ 80/732] learning_rate: 0.197935 loss_vfl: 1.490464 loss_bbox: 0.841512 loss_dfl: 0.575565 loss: 2.920304 eta: 2 days, 15:52:11 batch_cost: 1.0996 data_cost: 0.0089 ips: 36.3757 images/s
[07/26 16:24:13] ppdet.engine INFO: Epoch: [20] [100/732] learning_rate: 0.197929 loss_vfl: 1.386220 loss_bbox: 0.818578 loss_dfl: 0.552137 loss: 2.753688 eta: 2 days, 15:51:44 batch_cost: 1.1081 data_cost: 0.0035 ips: 36.0993 images/s
[07/26 16:24:41] ppdet.engine INFO: Epoch: [20] [120/732] learning_rate: 0.197922 loss_vfl: 1.392962 loss_bbox: 0.810641 loss_dfl: 0.539868 loss: 2.744801 eta: 2 days, 15:51:44 batch_cost: 1.2005 data_cost: 0.0067 ips: 33.3200 images/s
[07/26 16:25:08] ppdet.engine INFO: Epoch: [20] [140/732] learning_rate: 0.197916 loss_vfl: 1.441927 loss_bbox: 0.782678 loss_dfl: 0.544179 loss: 2.795255 eta: 2 days, 15:51:32 batch_cost: 1.1613 data_cost: 0.0102 ips: 34.4443 images/s
[07/26 16:25:34] ppdet.engine INFO: Epoch: [20] [160/732] learning_rate: 0.197910 loss_vfl: 1.461106 loss_bbox: 0.852075 loss_dfl: 0.569096 loss: 2.867789 eta: 2 days, 15:50:54 batch_cost: 1.0665 data_cost: 0.0025 ips: 37.5045 images/s
[07/26 16:26:00] ppdet.engine INFO: Epoch: [20] [180/732] learning_rate: 0.197904 loss_vfl: 1.384020 loss_bbox: 0.812150 loss_dfl: 0.539054 loss: 2.731286 eta: 2 days, 15:49:46 batch_cost: 0.9559 data_cost: 0.0034 ips: 41.8469 images/s
[07/26 16:26:27] ppdet.engine INFO: Epoch: [20] [200/732] learning_rate: 0.197897 loss_vfl: 1.457362 loss_bbox: 0.829515 loss_dfl: 0.553239 loss: 2.809042 eta: 2 days, 15:49:29 batch_cost: 1.1449 data_cost: 0.0043 ips: 34.9369 images/s
[07/26 16:26:57] ppdet.engine INFO: Epoch: [20] [220/732] learning_rate: 0.197891 loss_vfl: 1.458012 loss_bbox: 0.851472 loss_dfl: 0.568381 loss: 2.903230 eta: 2 days, 15:49:28 batch_cost: 1.1994 data_cost: 0.0073 ips: 33.3494 images/s
[07/26 16:27:24] ppdet.engine INFO: Epoch: [20] [240/732] learning_rate: 0.197885 loss_vfl: 1.432112 loss_bbox: 0.807296 loss_dfl: 0.551077 loss: 2.802493 eta: 2 days, 15:49:13 batch_cost: 1.1496 data_cost: 0.0071 ips: 34.7958 images/s
[07/26 16:27:49] ppdet.engine INFO: Epoch: [20] [260/732] learning_rate: 0.197879 loss_vfl: 1.441738 loss_bbox: 0.828294 loss_dfl: 0.557706 loss: 2.802830 eta: 2 days, 15:48:23 batch_cost: 1.0226 data_cost: 0.0074 ips: 39.1173 images/s
[07/26 16:28:16] ppdet.engine INFO: Epoch: [20] [280/732] learning_rate: 0.197872 loss_vfl: 1.427613 loss_bbox: 0.791031 loss_dfl: 0.529377 loss: 2.724885 eta: 2 days, 15:47:39 batch_cost: 1.0403 data_cost: 0.0083 ips: 38.4495 images/s
[07/26 16:28:42] ppdet.engine INFO: Epoch: [20] [300/732] learning_rate: 0.197866 loss_vfl: 1.416782 loss_bbox: 0.788928 loss_dfl: 0.537162 loss: 2.736628 eta: 2 days, 15:47:15 batch_cost: 1.1193 data_cost: 0.0056 ips: 35.7373 images/s
[07/26 16:29:10] ppdet.engine INFO: Epoch: [20] [320/732] learning_rate: 0.197860 loss_vfl: 1.501236 loss_bbox: 0.824733 loss_dfl: 0.565116 loss: 2.904177 eta: 2 days, 15:47:13 batch_cost: 1.1958 data_cost: 0.0039 ips: 33.4503 images/s
[07/26 16:29:36] ppdet.engine INFO: Epoch: [20] [340/732] learning_rate: 0.197853 loss_vfl: 1.423100 loss_bbox: 0.812717 loss_dfl: 0.543057 loss: 2.778905 eta: 2 days, 15:46:44 batch_cost: 1.0973 data_cost: 0.0037 ips: 36.4542 images/s
[07/26 16:30:04] ppdet.engine INFO: Epoch: [20] [360/732] learning_rate: 0.197847 loss_vfl: 1.356977 loss_bbox: 0.807016 loss_dfl: 0.542260 loss: 2.721794 eta: 2 days, 15:46:49 batch_cost: 1.2236 data_cost: 0.0063 ips: 32.6901 images/s
[07/26 16:30:29] ppdet.engine INFO: Epoch: [20] [380/732] learning_rate: 0.197841 loss_vfl: 1.503520 loss_bbox: 0.820809 loss_dfl: 0.560336 loss: 2.896968 eta: 2 days, 15:45:59 batch_cost: 1.0192 data_cost: 0.0103 ips: 39.2467 images/s
[07/26 16:30:57] ppdet.engine INFO: Epoch: [20] [400/732] learning_rate: 0.197834 loss_vfl: 1.406543 loss_bbox: 0.787750 loss_dfl: 0.540664 loss: 2.755543 eta: 2 days, 15:45:57 batch_cost: 1.1972 data_cost: 0.0056 ips: 33.4103 images/s
[07/26 16:31:23] ppdet.engine INFO: Epoch: [20] [420/732] learning_rate: 0.197828 loss_vfl: 1.433755 loss_bbox: 0.803964 loss_dfl: 0.542836 loss: 2.773705 eta: 2 days, 15:45:29 batch_cost: 1.1021 data_cost: 0.0044 ips: 36.2945 images/s
[07/26 16:31:50] ppdet.engine INFO: Epoch: [20] [440/732] learning_rate: 0.197822 loss_vfl: 1.449601 loss_bbox: 0.841265 loss_dfl: 0.558386 loss: 2.822728 eta: 2 days, 15:45:23 batch_cost: 1.1827 data_cost: 0.0046 ips: 33.8206 images/s
[07/26 16:32:17] ppdet.engine INFO: Epoch: [20] [460/732] learning_rate: 0.197815 loss_vfl: 1.429825 loss_bbox: 0.787932 loss_dfl: 0.547089 loss: 2.780034 eta: 2 days, 15:45:13 batch_cost: 1.1702 data_cost: 0.0037 ips: 34.1808 images/s
[07/26 16:32:45] ppdet.engine INFO: Epoch: [20] [480/732] learning_rate: 0.197809 loss_vfl: 1.385368 loss_bbox: 0.767808 loss_dfl: 0.517190 loss: 2.660393 eta: 2 days, 15:45:12 batch_cost: 1.2003 data_cost: 0.0040 ips: 33.3254 images/s
[07/26 16:33:11] ppdet.engine INFO: Epoch: [20] [500/732] learning_rate: 0.197802 loss_vfl: 1.431178 loss_bbox: 0.804831 loss_dfl: 0.554178 loss: 2.795693 eta: 2 days, 15:45:01 batch_cost: 1.1661 data_cost: 0.0088 ips: 34.3023 images/s
[07/26 16:33:40] ppdet.engine INFO: Epoch: [20] [520/732] learning_rate: 0.197796 loss_vfl: 1.444407 loss_bbox: 0.815863 loss_dfl: 0.552871 loss: 2.817626 eta: 2 days, 15:44:54 batch_cost: 1.1773 data_cost: 0.0062 ips: 33.9773 images/s
[07/26 16:34:07] ppdet.engine INFO: Epoch: [20] [540/732] learning_rate: 0.197790 loss_vfl: 1.449528 loss_bbox: 0.850319 loss_dfl: 0.569322 loss: 2.853215 eta: 2 days, 15:44:41 batch_cost: 1.1596 data_cost: 0.0056 ips: 34.4939 images/s
[07/26 16:34:34] ppdet.engine INFO: Epoch: [20] [560/732] learning_rate: 0.197783 loss_vfl: 1.345217 loss_bbox: 0.782601 loss_dfl: 0.538602 loss: 2.666421 eta: 2 days, 15:43:59 batch_cost: 1.0485 data_cost: 0.0025 ips: 38.1486 images/s
[07/26 16:35:00] ppdet.engine INFO: Epoch: [20] [580/732] learning_rate: 0.197777 loss_vfl: 1.388989 loss_bbox: 0.793512 loss_dfl: 0.535146 loss: 2.697849 eta: 2 days, 15:43:35 batch_cost: 1.1186 data_cost: 0.0039 ips: 35.7603 images/s
[07/26 16:35:27] ppdet.engine INFO: Epoch: [20] [600/732] learning_rate: 0.197770 loss_vfl: 1.462684 loss_bbox: 0.822865 loss_dfl: 0.557138 loss: 2.830103 eta: 2 days, 15:43:24 batch_cost: 1.1661 data_cost: 0.0027 ips: 34.3033 images/s
[07/26 16:35:53] ppdet.engine INFO: Epoch: [20] [620/732] learning_rate: 0.197764 loss_vfl: 1.394200 loss_bbox: 0.795527 loss_dfl: 0.525025 loss: 2.697368 eta: 2 days, 15:43:06 batch_cost: 1.1363 data_cost: 0.0065 ips: 35.2025 images/s
[07/26 16:36:21] ppdet.engine INFO: Epoch: [20] [640/732] learning_rate: 0.197757 loss_vfl: 1.395272 loss_bbox: 0.828743 loss_dfl: 0.547511 loss: 2.754938 eta: 2 days, 15:42:42 batch_cost: 1.1192 data_cost: 0.0045 ips: 35.7393 images/s
[07/26 16:36:47] ppdet.engine INFO: Epoch: [20] [660/732] learning_rate: 0.197751 loss_vfl: 1.479361 loss_bbox: 0.848774 loss_dfl: 0.564481 loss: 2.907980 eta: 2 days, 15:42:23 batch_cost: 1.1351 data_cost: 0.0051 ips: 35.2390 images/s
[07/26 16:37:13] ppdet.engine INFO: Epoch: [20] [680/732] learning_rate: 0.197744 loss_vfl: 1.408844 loss_bbox: 0.804554 loss_dfl: 0.544251 loss: 2.740684 eta: 2 days, 15:42:04 batch_cost: 1.1353 data_cost: 0.0037 ips: 35.2314 images/s
[07/26 16:37:41] ppdet.engine INFO: Epoch: [20] [700/732] learning_rate: 0.197738 loss_vfl: 1.438244 loss_bbox: 0.837981 loss_dfl: 0.551527 loss: 2.841969 eta: 2 days, 15:41:43 batch_cost: 1.1287 data_cost: 0.0078 ips: 35.4400 images/s
[07/26 16:38:08] ppdet.engine INFO: Epoch: [20] [720/732] learning_rate: 0.197731 loss_vfl: 1.422762 loss_bbox: 0.832144 loss_dfl: 0.562908 loss: 2.825129 eta: 2 days, 15:41:16 batch_cost: 1.1057 data_cost: 0.0085 ips: 36.1747 images/s
[07/26 16:38:28] ppdet.engine INFO: Epoch: [21] [  0/732] learning_rate: 0.197728 loss_vfl: 1.362141 loss_bbox: 0.814012 loss_dfl: 0.539409 loss: 2.743447 eta: 2 days, 15:41:52 batch_cost: 1.3174 data_cost: 0.4412 ips: 30.3632 images/s
[07/26 16:38:59] ppdet.engine INFO: Epoch: [21] [ 20/732] learning_rate: 0.197721 loss_vfl: 1.489710 loss_bbox: 0.832952 loss_dfl: 0.571830 loss: 2.877828 eta: 2 days, 15:42:03 batch_cost: 1.2494 data_cost: 0.0072 ips: 32.0150 images/s
[07/26 16:39:26] ppdet.engine INFO: Epoch: [21] [ 40/732] learning_rate: 0.197714 loss_vfl: 1.476765 loss_bbox: 0.830459 loss_dfl: 0.566658 loss: 2.865718 eta: 2 days, 15:41:25 batch_cost: 1.0650 data_cost: 0.0046 ips: 37.5573 images/s
[07/26 16:39:52] ppdet.engine INFO: Epoch: [21] [ 60/732] learning_rate: 0.197708 loss_vfl: 1.374372 loss_bbox: 0.786506 loss_dfl: 0.520334 loss: 2.637336 eta: 2 days, 15:40:56 batch_cost: 1.0969 data_cost: 0.0046 ips: 36.4653 images/s
[07/26 16:40:19] ppdet.engine INFO: Epoch: [21] [ 80/732] learning_rate: 0.197701 loss_vfl: 1.440048 loss_bbox: 0.785149 loss_dfl: 0.536441 loss: 2.758375 eta: 2 days, 15:40:24 batch_cost: 1.0890 data_cost: 0.0042 ips: 36.7296 images/s
[07/26 16:40:47] ppdet.engine INFO: Epoch: [21] [100/732] learning_rate: 0.197695 loss_vfl: 1.429258 loss_bbox: 0.820794 loss_dfl: 0.544848 loss: 2.784409 eta: 2 days, 15:40:08 batch_cost: 1.1462 data_cost: 0.0041 ips: 34.8989 images/s
[07/26 16:41:13] ppdet.engine INFO: Epoch: [21] [120/732] learning_rate: 0.197688 loss_vfl: 1.471123 loss_bbox: 0.840648 loss_dfl: 0.565751 loss: 2.865041 eta: 2 days, 15:39:45 batch_cost: 1.1204 data_cost: 0.0130 ips: 35.7031 images/s
[07/26 16:41:40] ppdet.engine INFO: Epoch: [21] [140/732] learning_rate: 0.197682 loss_vfl: 1.449292 loss_bbox: 0.831544 loss_dfl: 0.562977 loss: 2.844694 eta: 2 days, 15:39:13 batch_cost: 1.0872 data_cost: 0.0047 ips: 36.7906 images/s
[07/26 16:42:05] ppdet.engine INFO: Epoch: [21] [160/732] learning_rate: 0.197675 loss_vfl: 1.395691 loss_bbox: 0.791610 loss_dfl: 0.539586 loss: 2.756938 eta: 2 days, 15:38:40 batch_cost: 1.0843 data_cost: 0.0088 ips: 36.8904 images/s
[07/26 16:42:33] ppdet.engine INFO: Epoch: [21] [180/732] learning_rate: 0.197669 loss_vfl: 1.483063 loss_bbox: 0.793276 loss_dfl: 0.553224 loss: 2.815394 eta: 2 days, 15:38:35 batch_cost: 1.1880 data_cost: 0.0126 ips: 33.6713 images/s
[07/26 16:43:00] ppdet.engine INFO: Epoch: [21] [200/732] learning_rate: 0.197662 loss_vfl: 1.405940 loss_bbox: 0.827753 loss_dfl: 0.547643 loss: 2.795838 eta: 2 days, 15:38:22 batch_cost: 1.1598 data_cost: 0.0048 ips: 34.4887 images/s
[07/26 16:43:27] ppdet.engine INFO: Epoch: [21] [220/732] learning_rate: 0.197655 loss_vfl: 1.430391 loss_bbox: 0.794762 loss_dfl: 0.546221 loss: 2.765422 eta: 2 days, 15:38:22 batch_cost: 1.2081 data_cost: 0.0037 ips: 33.1094 images/s
[07/26 16:43:52] ppdet.engine INFO: Epoch: [21] [240/732] learning_rate: 0.197649 loss_vfl: 1.371151 loss_bbox: 0.794590 loss_dfl: 0.528163 loss: 2.693903 eta: 2 days, 15:37:47 batch_cost: 1.0744 data_cost: 0.0010 ips: 37.2298 images/s
[07/26 16:44:20] ppdet.engine INFO: Epoch: [21] [260/732] learning_rate: 0.197642 loss_vfl: 1.496920 loss_bbox: 0.815129 loss_dfl: 0.561053 loss: 2.880994 eta: 2 days, 15:37:39 batch_cost: 1.1783 data_cost: 0.0036 ips: 33.9481 images/s
[07/26 16:44:46] ppdet.engine INFO: Epoch: [21] [280/732] learning_rate: 0.197636 loss_vfl: 1.360170 loss_bbox: 0.796297 loss_dfl: 0.537776 loss: 2.714336 eta: 2 days, 15:37:25 batch_cost: 1.1572 data_cost: 0.0044 ips: 34.5662 images/s
[07/26 16:45:14] ppdet.engine INFO: Epoch: [21] [300/732] learning_rate: 0.197629 loss_vfl: 1.345221 loss_bbox: 0.738890 loss_dfl: 0.504885 loss: 2.590260 eta: 2 days, 15:37:32 batch_cost: 1.2346 data_cost: 0.0041 ips: 32.3984 images/s
[07/26 16:45:41] ppdet.engine INFO: Epoch: [21] [320/732] learning_rate: 0.197622 loss_vfl: 1.458380 loss_bbox: 0.834754 loss_dfl: 0.564674 loss: 2.853221 eta: 2 days, 15:37:29 batch_cost: 1.1993 data_cost: 0.0052 ips: 33.3524 images/s
[07/26 16:46:08] ppdet.engine INFO: Epoch: [21] [340/732] learning_rate: 0.197616 loss_vfl: 1.491484 loss_bbox: 0.828686 loss_dfl: 0.559572 loss: 2.839555 eta: 2 days, 15:37:10 batch_cost: 1.1360 data_cost: 0.0055 ips: 35.2125 images/s
[07/26 16:46:34] ppdet.engine INFO: Epoch: [21] [360/732] learning_rate: 0.197609 loss_vfl: 1.469986 loss_bbox: 0.822574 loss_dfl: 0.568556 loss: 2.913644 eta: 2 days, 15:36:23 batch_cost: 1.0273 data_cost: 0.0133 ips: 38.9380 images/s
[07/26 16:47:02] ppdet.engine INFO: Epoch: [21] [380/732] learning_rate: 0.197602 loss_vfl: 1.356784 loss_bbox: 0.771880 loss_dfl: 0.516518 loss: 2.649251 eta: 2 days, 15:36:08 batch_cost: 1.1519 data_cost: 0.0031 ips: 34.7267 images/s
[07/26 16:47:28] ppdet.engine INFO: Epoch: [21] [400/732] learning_rate: 0.197596 loss_vfl: 1.461030 loss_bbox: 0.807421 loss_dfl: 0.546793 loss: 2.835652 eta: 2 days, 15:35:28 batch_cost: 1.0576 data_cost: 0.0065 ips: 37.8201 images/s
[07/26 16:47:55] ppdet.engine INFO: Epoch: [21] [420/732] learning_rate: 0.197589 loss_vfl: 1.461962 loss_bbox: 0.836527 loss_dfl: 0.562703 loss: 2.873546 eta: 2 days, 15:35:10 batch_cost: 1.1387 data_cost: 0.0066 ips: 35.1277 images/s
[07/26 16:48:22] ppdet.engine INFO: Epoch: [21] [440/732] learning_rate: 0.197582 loss_vfl: 1.449109 loss_bbox: 0.824031 loss_dfl: 0.558772 loss: 2.838093 eta: 2 days, 15:34:45 batch_cost: 1.1138 data_cost: 0.0025 ips: 35.9127 images/s
[07/26 16:48:49] ppdet.engine INFO: Epoch: [21] [460/732] learning_rate: 0.197575 loss_vfl: 1.421069 loss_bbox: 0.809550 loss_dfl: 0.549269 loss: 2.779377 eta: 2 days, 15:34:35 batch_cost: 1.1705 data_cost: 0.0032 ips: 34.1733 images/s
[07/26 16:49:16] ppdet.engine INFO: Epoch: [21] [480/732] learning_rate: 0.197569 loss_vfl: 1.529297 loss_bbox: 0.879151 loss_dfl: 0.598974 loss: 3.019996 eta: 2 days, 15:33:57 batch_cost: 1.0654 data_cost: 0.0060 ips: 37.5440 images/s
[07/26 16:49:42] ppdet.engine INFO: Epoch: [21] [500/732] learning_rate: 0.197562 loss_vfl: 1.424688 loss_bbox: 0.844093 loss_dfl: 0.554581 loss: 2.814498 eta: 2 days, 15:33:26 batch_cost: 1.0869 data_cost: 0.0032 ips: 36.8032 images/s
[07/26 16:50:08] ppdet.engine INFO: Epoch: [21] [520/732] learning_rate: 0.197555 loss_vfl: 1.414767 loss_bbox: 0.806845 loss_dfl: 0.546479 loss: 2.769169 eta: 2 days, 15:32:48 batch_cost: 1.0628 data_cost: 0.0073 ips: 37.6347 images/s
[07/26 16:50:35] ppdet.engine INFO: Epoch: [21] [540/732] learning_rate: 0.197548 loss_vfl: 1.381666 loss_bbox: 0.826737 loss_dfl: 0.553708 loss: 2.753436 eta: 2 days, 15:32:09 batch_cost: 1.0595 data_cost: 0.0095 ips: 37.7552 images/s
[07/26 16:51:02] ppdet.engine INFO: Epoch: [21] [560/732] learning_rate: 0.197542 loss_vfl: 1.463039 loss_bbox: 0.834146 loss_dfl: 0.565023 loss: 2.871627 eta: 2 days, 15:31:59 batch_cost: 1.1725 data_cost: 0.0050 ips: 34.1161 images/s
[07/26 16:51:28] ppdet.engine INFO: Epoch: [21] [580/732] learning_rate: 0.197535 loss_vfl: 1.506871 loss_bbox: 0.864490 loss_dfl: 0.579173 loss: 2.934476 eta: 2 days, 15:31:33 batch_cost: 1.1084 data_cost: 0.0043 ips: 36.0892 images/s
[07/26 16:51:56] ppdet.engine INFO: Epoch: [21] [600/732] learning_rate: 0.197528 loss_vfl: 1.443607 loss_bbox: 0.832021 loss_dfl: 0.563822 loss: 2.865228 eta: 2 days, 15:31:13 batch_cost: 1.1337 data_cost: 0.0060 ips: 35.2832 images/s
[07/26 16:52:22] ppdet.engine INFO: Epoch: [21] [620/732] learning_rate: 0.197521 loss_vfl: 1.394657 loss_bbox: 0.800128 loss_dfl: 0.536782 loss: 2.720893 eta: 2 days, 15:31:00 batch_cost: 1.1577 data_cost: 0.0080 ips: 34.5523 images/s
[07/26 16:52:51] ppdet.engine INFO: Epoch: [21] [640/732] learning_rate: 0.197515 loss_vfl: 1.364224 loss_bbox: 0.772391 loss_dfl: 0.523100 loss: 2.638188 eta: 2 days, 15:31:02 batch_cost: 1.2196 data_cost: 0.0051 ips: 32.7976 images/s
[07/26 16:53:18] ppdet.engine INFO: Epoch: [21] [660/732] learning_rate: 0.197508 loss_vfl: 1.335457 loss_bbox: 0.769164 loss_dfl: 0.510101 loss: 2.629763 eta: 2 days, 15:30:38 batch_cost: 1.1175 data_cost: 0.0039 ips: 35.7951 images/s
[07/26 16:53:45] ppdet.engine INFO: Epoch: [21] [680/732] learning_rate: 0.197501 loss_vfl: 1.442174 loss_bbox: 0.809299 loss_dfl: 0.549252 loss: 2.803784 eta: 2 days, 15:30:07 batch_cost: 1.0910 data_cost: 0.0070 ips: 36.6639 images/s
[07/26 16:54:10] ppdet.engine INFO: Epoch: [21] [700/732] learning_rate: 0.197494 loss_vfl: 1.385422 loss_bbox: 0.800536 loss_dfl: 0.534329 loss: 2.718153 eta: 2 days, 15:29:42 batch_cost: 1.1111 data_cost: 0.0059 ips: 36.0019 images/s
[07/26 16:54:36] ppdet.engine INFO: Epoch: [21] [720/732] learning_rate: 0.197487 loss_vfl: 1.386401 loss_bbox: 0.797447 loss_dfl: 0.535267 loss: 2.725513 eta: 2 days, 15:29:14 batch_cost: 1.1039 data_cost: 0.0037 ips: 36.2344 images/s
[07/26 16:54:57] ppdet.engine INFO: Epoch: [22] [  0/732] learning_rate: 0.197483 loss_vfl: 1.507594 loss_bbox: 0.839382 loss_dfl: 0.577414 loss: 2.931385 eta: 2 days, 15:29:57 batch_cost: 1.3465 data_cost: 0.4864 ips: 29.7075 images/s
[07/26 16:55:31] ppdet.engine INFO: Epoch: [22] [ 20/732] learning_rate: 0.197476 loss_vfl: 1.457377 loss_bbox: 0.833121 loss_dfl: 0.562001 loss: 2.834919 eta: 2 days, 15:30:30 batch_cost: 1.3427 data_cost: 0.0063 ips: 29.7909 images/s
[07/26 16:55:58] ppdet.engine INFO: Epoch: [22] [ 40/732] learning_rate: 0.197469 loss_vfl: 1.448493 loss_bbox: 0.803457 loss_dfl: 0.547994 loss: 2.786854 eta: 2 days, 15:30:17 batch_cost: 1.1614 data_cost: 0.0113 ips: 34.4405 images/s
[07/26 16:56:24] ppdet.engine INFO: Epoch: [22] [ 60/732] learning_rate: 0.197463 loss_vfl: 1.381447 loss_bbox: 0.793836 loss_dfl: 0.541847 loss: 2.743258 eta: 2 days, 15:29:48 batch_cost: 1.0964 data_cost: 0.0092 ips: 36.4818 images/s
[07/26 16:56:54] ppdet.engine INFO: Epoch: [22] [ 80/732] learning_rate: 0.197456 loss_vfl: 1.413451 loss_bbox: 0.811680 loss_dfl: 0.552721 loss: 2.780371 eta: 2 days, 15:29:57 batch_cost: 1.2491 data_cost: 0.0124 ips: 32.0229 images/s
[07/26 16:57:22] ppdet.engine INFO: Epoch: [22] [100/732] learning_rate: 0.197449 loss_vfl: 1.434846 loss_bbox: 0.831906 loss_dfl: 0.558214 loss: 2.812504 eta: 2 days, 15:29:38 batch_cost: 1.1381 data_cost: 0.0027 ips: 35.1459 images/s
[07/26 16:57:48] ppdet.engine INFO: Epoch: [22] [120/732] learning_rate: 0.197442 loss_vfl: 1.430885 loss_bbox: 0.843450 loss_dfl: 0.555255 loss: 2.806818 eta: 2 days, 15:28:57 batch_cost: 1.0488 data_cost: 0.0031 ips: 38.1389 images/s
[07/26 16:58:16] ppdet.engine INFO: Epoch: [22] [140/732] learning_rate: 0.197435 loss_vfl: 1.421192 loss_bbox: 0.806518 loss_dfl: 0.547711 loss: 2.777995 eta: 2 days, 15:28:46 batch_cost: 1.1701 data_cost: 0.0079 ips: 34.1849 images/s
[07/26 16:58:43] ppdet.engine INFO: Epoch: [22] [160/732] learning_rate: 0.197428 loss_vfl: 1.454321 loss_bbox: 0.815828 loss_dfl: 0.556363 loss: 2.869822 eta: 2 days, 15:28:13 batch_cost: 1.0831 data_cost: 0.0056 ips: 36.9310 images/s
[07/26 16:59:10] ppdet.engine INFO: Epoch: [22] [180/732] learning_rate: 0.197421 loss_vfl: 1.479153 loss_bbox: 0.845690 loss_dfl: 0.563947 loss: 2.896939 eta: 2 days, 15:28:00 batch_cost: 1.1609 data_cost: 0.0044 ips: 34.4575 images/s
[07/26 16:59:37] ppdet.engine INFO: Epoch: [22] [200/732] learning_rate: 0.197414 loss_vfl: 1.446723 loss_bbox: 0.818811 loss_dfl: 0.552185 loss: 2.822156 eta: 2 days, 15:27:28 batch_cost: 1.0864 data_cost: 0.0083 ips: 36.8189 images/s
[07/26 17:00:05] ppdet.engine INFO: Epoch: [22] [220/732] learning_rate: 0.197407 loss_vfl: 1.444798 loss_bbox: 0.793308 loss_dfl: 0.539537 loss: 2.728680 eta: 2 days, 15:27:04 batch_cost: 1.1154 data_cost: 0.0179 ips: 35.8622 images/s
[07/26 17:00:32] ppdet.engine INFO: Epoch: [22] [240/732] learning_rate: 0.197400 loss_vfl: 1.405689 loss_bbox: 0.812978 loss_dfl: 0.552838 loss: 2.777653 eta: 2 days, 15:26:31 batch_cost: 1.0815 data_cost: 0.0054 ips: 36.9862 images/s
[07/26 17:00:59] ppdet.engine INFO: Epoch: [22] [260/732] learning_rate: 0.197393 loss_vfl: 1.400377 loss_bbox: 0.795957 loss_dfl: 0.532133 loss: 2.718438 eta: 2 days, 15:26:35 batch_cost: 1.2324 data_cost: 0.0035 ips: 32.4580 images/s
[07/26 17:01:26] ppdet.engine INFO: Epoch: [22] [280/732] learning_rate: 0.197386 loss_vfl: 1.447289 loss_bbox: 0.807225 loss_dfl: 0.548093 loss: 2.799209 eta: 2 days, 15:26:23 batch_cost: 1.1655 data_cost: 0.0028 ips: 34.3206 images/s
[07/26 17:01:53] ppdet.engine INFO: Epoch: [22] [300/732] learning_rate: 0.197379 loss_vfl: 1.482166 loss_bbox: 0.849173 loss_dfl: 0.571154 loss: 2.900375 eta: 2 days, 15:25:57 batch_cost: 1.1095 data_cost: 0.0032 ips: 36.0534 images/s
[07/26 17:02:20] ppdet.engine INFO: Epoch: [22] [320/732] learning_rate: 0.197372 loss_vfl: 1.416807 loss_bbox: 0.817377 loss_dfl: 0.555547 loss: 2.800360 eta: 2 days, 15:25:16 batch_cost: 1.0466 data_cost: 0.0065 ips: 38.2184 images/s
[07/26 17:02:45] ppdet.engine INFO: Epoch: [22] [340/732] learning_rate: 0.197365 loss_vfl: 1.476695 loss_bbox: 0.851840 loss_dfl: 0.579783 loss: 2.894938 eta: 2 days, 15:24:34 batch_cost: 1.0462 data_cost: 0.0037 ips: 38.2334 images/s
[07/26 17:03:14] ppdet.engine INFO: Epoch: [22] [360/732] learning_rate: 0.197358 loss_vfl: 1.414490 loss_bbox: 0.768944 loss_dfl: 0.526835 loss: 2.694781 eta: 2 days, 15:24:30 batch_cost: 1.1977 data_cost: 0.0069 ips: 33.3970 images/s
[07/26 17:03:40] ppdet.engine INFO: Epoch: [22] [380/732] learning_rate: 0.197351 loss_vfl: 1.451096 loss_bbox: 0.818663 loss_dfl: 0.556716 loss: 2.802002 eta: 2 days, 15:23:47 batch_cost: 1.0429 data_cost: 0.0222 ips: 38.3564 images/s
[07/26 17:04:07] ppdet.engine INFO: Epoch: [22] [400/732] learning_rate: 0.197344 loss_vfl: 1.463931 loss_bbox: 0.846578 loss_dfl: 0.570117 loss: 2.886924 eta: 2 days, 15:23:22 batch_cost: 1.1097 data_cost: 0.0088 ips: 36.0464 images/s
[07/26 17:04:32] ppdet.engine INFO: Epoch: [22] [420/732] learning_rate: 0.197337 loss_vfl: 1.444308 loss_bbox: 0.825571 loss_dfl: 0.557089 loss: 2.843322 eta: 2 days, 15:22:45 batch_cost: 1.0648 data_cost: 0.0076 ips: 37.5653 images/s
[07/26 17:04:59] ppdet.engine INFO: Epoch: [22] [440/732] learning_rate: 0.197330 loss_vfl: 1.445820 loss_bbox: 0.837026 loss_dfl: 0.570057 loss: 2.837019 eta: 2 days, 15:22:00 batch_cost: 1.0317 data_cost: 0.0100 ips: 38.7704 images/s
[07/26 17:05:26] ppdet.engine INFO: Epoch: [22] [460/732] learning_rate: 0.197323 loss_vfl: 1.402531 loss_bbox: 0.801513 loss_dfl: 0.544793 loss: 2.757150 eta: 2 days, 15:21:16 batch_cost: 1.0381 data_cost: 0.0305 ips: 38.5312 images/s
[07/26 17:05:54] ppdet.engine INFO: Epoch: [22] [480/732] learning_rate: 0.197316 loss_vfl: 1.422863 loss_bbox: 0.793834 loss_dfl: 0.540274 loss: 2.781046 eta: 2 days, 15:21:07 batch_cost: 1.1773 data_cost: 0.0056 ips: 33.9767 images/s
[07/26 17:06:21] ppdet.engine INFO: Epoch: [22] [500/732] learning_rate: 0.197309 loss_vfl: 1.444538 loss_bbox: 0.825109 loss_dfl: 0.566413 loss: 2.842133 eta: 2 days, 15:20:46 batch_cost: 1.1302 data_cost: 0.0055 ips: 35.3928 images/s
[07/26 17:06:49] ppdet.engine INFO: Epoch: [22] [520/732] learning_rate: 0.197302 loss_vfl: 1.386959 loss_bbox: 0.778394 loss_dfl: 0.535064 loss: 2.718654 eta: 2 days, 15:20:26 batch_cost: 1.1336 data_cost: 0.0035 ips: 35.2864 images/s
[07/26 17:07:16] ppdet.engine INFO: Epoch: [22] [540/732] learning_rate: 0.197295 loss_vfl: 1.482156 loss_bbox: 0.833346 loss_dfl: 0.571675 loss: 2.904212 eta: 2 days, 15:20:11 batch_cost: 1.1539 data_cost: 0.0167 ips: 34.6649 images/s
[07/26 17:07:43] ppdet.engine INFO: Epoch: [22] [560/732] learning_rate: 0.197288 loss_vfl: 1.452492 loss_bbox: 0.828390 loss_dfl: 0.554134 loss: 2.852245 eta: 2 days, 15:19:45 batch_cost: 1.1089 data_cost: 0.0086 ips: 36.0729 images/s
[07/26 17:08:08] ppdet.engine INFO: Epoch: [22] [580/732] learning_rate: 0.197281 loss_vfl: 1.356708 loss_bbox: 0.804020 loss_dfl: 0.542868 loss: 2.699901 eta: 2 days, 15:19:00 batch_cost: 1.0297 data_cost: 0.0077 ips: 38.8465 images/s
[07/26 17:08:37] ppdet.engine INFO: Epoch: [22] [600/732] learning_rate: 0.197274 loss_vfl: 1.424043 loss_bbox: 0.807532 loss_dfl: 0.543223 loss: 2.779305 eta: 2 days, 15:18:52 batch_cost: 1.1831 data_cost: 0.0068 ips: 33.8083 images/s
[07/26 17:09:05] ppdet.engine INFO: Epoch: [22] [620/732] learning_rate: 0.197267 loss_vfl: 1.365505 loss_bbox: 0.802756 loss_dfl: 0.536164 loss: 2.703959 eta: 2 days, 15:18:42 batch_cost: 1.1753 data_cost: 0.0053 ips: 34.0351 images/s
[07/26 17:09:31] ppdet.engine INFO: Epoch: [22] [640/732] learning_rate: 0.197259 loss_vfl: 1.445463 loss_bbox: 0.809808 loss_dfl: 0.554712 loss: 2.788086 eta: 2 days, 15:18:24 batch_cost: 1.1413 data_cost: 0.0090 ips: 35.0475 images/s
[07/26 17:09:57] ppdet.engine INFO: Epoch: [22] [660/732] learning_rate: 0.197252 loss_vfl: 1.415655 loss_bbox: 0.824410 loss_dfl: 0.552789 loss: 2.829314 eta: 2 days, 15:17:40 batch_cost: 1.0338 data_cost: 0.0026 ips: 38.6933 images/s
[07/26 17:10:28] ppdet.engine INFO: Epoch: [22] [680/732] learning_rate: 0.197245 loss_vfl: 1.430460 loss_bbox: 0.831382 loss_dfl: 0.554576 loss: 2.829215 eta: 2 days, 15:18:16 batch_cost: 1.3659 data_cost: 0.0054 ips: 29.2843 images/s
[07/26 17:10:53] ppdet.engine INFO: Epoch: [22] [700/732] learning_rate: 0.197238 loss_vfl: 1.418566 loss_bbox: 0.811011 loss_dfl: 0.544440 loss: 2.757280 eta: 2 days, 15:17:52 batch_cost: 1.1197 data_cost: 0.0064 ips: 35.7224 images/s
[07/26 17:11:23] ppdet.engine INFO: Epoch: [22] [720/732] learning_rate: 0.197231 loss_vfl: 1.444914 loss_bbox: 0.815598 loss_dfl: 0.553024 loss: 2.860902 eta: 2 days, 15:17:49 batch_cost: 1.2042 data_cost: 0.0047 ips: 33.2157 images/s
[07/26 17:11:44] ppdet.engine INFO: Epoch: [23] [  0/732] learning_rate: 0.197226 loss_vfl: 1.437406 loss_bbox: 0.809186 loss_dfl: 0.553024 loss: 2.803461 eta: 2 days, 15:18:36 batch_cost: 1.3807 data_cost: 0.4547 ips: 28.9705 images/s
[07/26 17:12:14] ppdet.engine INFO: Epoch: [23] [ 20/732] learning_rate: 0.197219 loss_vfl: 1.426326 loss_bbox: 0.815088 loss_dfl: 0.545112 loss: 2.768561 eta: 2 days, 15:18:39 batch_cost: 1.2305 data_cost: 0.0033 ips: 32.5079 images/s
[07/26 17:12:42] ppdet.engine INFO: Epoch: [23] [ 40/732] learning_rate: 0.197212 loss_vfl: 1.455760 loss_bbox: 0.798146 loss_dfl: 0.550837 loss: 2.787606 eta: 2 days, 15:18:32 batch_cost: 1.1868 data_cost: 0.0059 ips: 33.7049 images/s
[07/26 17:13:09] ppdet.engine INFO: Epoch: [23] [ 60/732] learning_rate: 0.197205 loss_vfl: 1.425944 loss_bbox: 0.800541 loss_dfl: 0.547143 loss: 2.779772 eta: 2 days, 15:18:29 batch_cost: 1.2081 data_cost: 0.0064 ips: 33.1106 images/s
[07/26 17:13:37] ppdet.engine INFO: Epoch: [23] [ 80/732] learning_rate: 0.197198 loss_vfl: 1.399361 loss_bbox: 0.794561 loss_dfl: 0.538740 loss: 2.732047 eta: 2 days, 15:18:29 batch_cost: 1.2169 data_cost: 0.0086 ips: 32.8694 images/s
[07/26 17:14:05] ppdet.engine INFO: Epoch: [23] [100/732] learning_rate: 0.197190 loss_vfl: 1.431601 loss_bbox: 0.824403 loss_dfl: 0.555802 loss: 2.803396 eta: 2 days, 15:18:10 batch_cost: 1.1407 data_cost: 0.0047 ips: 35.0673 images/s
[07/26 17:14:31] ppdet.engine INFO: Epoch: [23] [120/732] learning_rate: 0.197183 loss_vfl: 1.396686 loss_bbox: 0.815094 loss_dfl: 0.541165 loss: 2.756701 eta: 2 days, 15:17:39 batch_cost: 1.0895 data_cost: 0.0072 ips: 36.7140 images/s
[07/26 17:15:00] ppdet.engine INFO: Epoch: [23] [140/732] learning_rate: 0.197176 loss_vfl: 1.406269 loss_bbox: 0.794294 loss_dfl: 0.554666 loss: 2.781905 eta: 2 days, 15:17:53 batch_cost: 1.2756 data_cost: 0.0089 ips: 31.3574 images/s
[07/26 17:15:29] ppdet.engine INFO: Epoch: [23] [160/732] learning_rate: 0.197169 loss_vfl: 1.446467 loss_bbox: 0.836092 loss_dfl: 0.560418 loss: 2.828381 eta: 2 days, 15:17:54 batch_cost: 1.2247 data_cost: 0.0049 ips: 32.6598 images/s
[07/26 17:15:57] ppdet.engine INFO: Epoch: [23] [180/732] learning_rate: 0.197161 loss_vfl: 1.447440 loss_bbox: 0.781624 loss_dfl: 0.529119 loss: 2.723098 eta: 2 days, 15:18:04 batch_cost: 1.2600 data_cost: 0.0016 ips: 31.7458 images/s
[07/26 17:16:24] ppdet.engine INFO: Epoch: [23] [200/732] learning_rate: 0.197154 loss_vfl: 1.353565 loss_bbox: 0.787162 loss_dfl: 0.529302 loss: 2.684876 eta: 2 days, 15:17:24 batch_cost: 1.0523 data_cost: 0.0084 ips: 38.0128 images/s
[07/26 17:16:51] ppdet.engine INFO: Epoch: [23] [220/732] learning_rate: 0.197147 loss_vfl: 1.387663 loss_bbox: 0.797513 loss_dfl: 0.541213 loss: 2.729891 eta: 2 days, 15:16:55 batch_cost: 1.0951 data_cost: 0.0077 ips: 36.5255 images/s
[07/26 17:17:18] ppdet.engine INFO: Epoch: [23] [240/732] learning_rate: 0.197140 loss_vfl: 1.462231 loss_bbox: 0.827132 loss_dfl: 0.557053 loss: 2.848521 eta: 2 days, 15:16:37 batch_cost: 1.1467 data_cost: 0.0040 ips: 34.8818 images/s
[07/26 17:17:44] ppdet.engine INFO: Epoch: [23] [260/732] learning_rate: 0.197132 loss_vfl: 1.431120 loss_bbox: 0.826108 loss_dfl: 0.552995 loss: 2.805337 eta: 2 days, 15:16:06 batch_cost: 1.0873 data_cost: 0.0075 ips: 36.7883 images/s
[07/26 17:18:10] ppdet.engine INFO: Epoch: [23] [280/732] learning_rate: 0.197125 loss_vfl: 1.401141 loss_bbox: 0.810450 loss_dfl: 0.550047 loss: 2.795519 eta: 2 days, 15:15:27 batch_cost: 1.0527 data_cost: 0.0063 ips: 37.9992 images/s
[07/26 17:18:36] ppdet.engine INFO: Epoch: [23] [300/732] learning_rate: 0.197118 loss_vfl: 1.449215 loss_bbox: 0.820377 loss_dfl: 0.555751 loss: 2.843792 eta: 2 days, 15:14:55 batch_cost: 1.0874 data_cost: 0.0069 ips: 36.7864 images/s
[07/26 17:19:01] ppdet.engine INFO: Epoch: [23] [320/732] learning_rate: 0.197110 loss_vfl: 1.498311 loss_bbox: 0.857620 loss_dfl: 0.575436 loss: 2.933223 eta: 2 days, 15:14:19 batch_cost: 1.0655 data_cost: 0.0075 ips: 37.5413 images/s
[07/26 17:19:27] ppdet.engine INFO: Epoch: [23] [340/732] learning_rate: 0.197103 loss_vfl: 1.452393 loss_bbox: 0.843705 loss_dfl: 0.565786 loss: 2.868831 eta: 2 days, 15:13:48 batch_cost: 1.0895 data_cost: 0.0032 ips: 36.7152 images/s
[07/26 17:19:54] ppdet.engine INFO: Epoch: [23] [360/732] learning_rate: 0.197096 loss_vfl: 1.397726 loss_bbox: 0.804072 loss_dfl: 0.548388 loss: 2.785300 eta: 2 days, 15:13:23 batch_cost: 1.1128 data_cost: 0.0064 ips: 35.9457 images/s
[07/26 17:20:19] ppdet.engine INFO: Epoch: [23] [380/732] learning_rate: 0.197088 loss_vfl: 1.406920 loss_bbox: 0.820329 loss_dfl: 0.556228 loss: 2.798951 eta: 2 days, 15:12:44 batch_cost: 1.0562 data_cost: 0.0036 ips: 37.8725 images/s
[07/26 17:20:44] ppdet.engine INFO: Epoch: [23] [400/732] learning_rate: 0.197081 loss_vfl: 1.407260 loss_bbox: 0.777015 loss_dfl: 0.531427 loss: 2.726349 eta: 2 days, 15:11:46 batch_cost: 0.9715 data_cost: 0.0051 ips: 41.1717 images/s
[07/26 17:21:10] ppdet.engine INFO: Epoch: [23] [420/732] learning_rate: 0.197074 loss_vfl: 1.410455 loss_bbox: 0.806650 loss_dfl: 0.553835 loss: 2.785791 eta: 2 days, 15:11:11 batch_cost: 1.0699 data_cost: 0.0089 ips: 37.3865 images/s
[07/26 17:21:37] ppdet.engine INFO: Epoch: [23] [440/732] learning_rate: 0.197066 loss_vfl: 1.442876 loss_bbox: 0.841366 loss_dfl: 0.576740 loss: 2.881400 eta: 2 days, 15:10:46 batch_cost: 1.1157 data_cost: 0.0061 ips: 35.8507 images/s
[07/26 17:22:06] ppdet.engine INFO: Epoch: [23] [460/732] learning_rate: 0.197059 loss_vfl: 1.462315 loss_bbox: 0.831167 loss_dfl: 0.562913 loss: 2.868700 eta: 2 days, 15:10:38 batch_cost: 1.1853 data_cost: 0.0142 ips: 33.7480 images/s
[07/26 17:22:34] ppdet.engine INFO: Epoch: [23] [480/732] learning_rate: 0.197052 loss_vfl: 1.429650 loss_bbox: 0.825633 loss_dfl: 0.561960 loss: 2.808818 eta: 2 days, 15:10:24 batch_cost: 1.1609 data_cost: 0.0019 ips: 34.4552 images/s
[07/26 17:22:59] ppdet.engine INFO: Epoch: [23] [500/732] learning_rate: 0.197044 loss_vfl: 1.377788 loss_bbox: 0.764036 loss_dfl: 0.523139 loss: 2.642616 eta: 2 days, 15:09:58 batch_cost: 1.1090 data_cost: 0.0072 ips: 36.0697 images/s
[07/26 17:23:26] ppdet.engine INFO: Epoch: [23] [520/732] learning_rate: 0.197037 loss_vfl: 1.412228 loss_bbox: 0.832536 loss_dfl: 0.556313 loss: 2.801701 eta: 2 days, 15:09:32 batch_cost: 1.1111 data_cost: 0.0058 ips: 36.0018 images/s
[07/26 17:23:55] ppdet.engine INFO: Epoch: [23] [540/732] learning_rate: 0.197029 loss_vfl: 1.401090 loss_bbox: 0.792528 loss_dfl: 0.541217 loss: 2.722647 eta: 2 days, 15:09:36 batch_cost: 1.2350 data_cost: 0.0094 ips: 32.3890 images/s
[07/26 17:24:21] ppdet.engine INFO: Epoch: [23] [560/732] learning_rate: 0.197022 loss_vfl: 1.410120 loss_bbox: 0.785908 loss_dfl: 0.536463 loss: 2.724904 eta: 2 days, 15:09:12 batch_cost: 1.1190 data_cost: 0.0099 ips: 35.7461 images/s
[07/26 17:24:48] ppdet.engine INFO: Epoch: [23] [580/732] learning_rate: 0.197014 loss_vfl: 1.394490 loss_bbox: 0.809639 loss_dfl: 0.546478 loss: 2.753368 eta: 2 days, 15:09:00 batch_cost: 1.1711 data_cost: 0.0108 ips: 34.1566 images/s
[07/26 17:25:15] ppdet.engine INFO: Epoch: [23] [600/732] learning_rate: 0.197007 loss_vfl: 1.356780 loss_bbox: 0.779557 loss_dfl: 0.528116 loss: 2.670981 eta: 2 days, 15:08:50 batch_cost: 1.1757 data_cost: 0.0023 ips: 34.0211 images/s
[07/26 17:25:43] ppdet.engine INFO: Epoch: [23] [620/732] learning_rate: 0.196999 loss_vfl: 1.456603 loss_bbox: 0.821460 loss_dfl: 0.578660 loss: 2.858134 eta: 2 days, 15:08:40 batch_cost: 1.1795 data_cost: 0.0016 ips: 33.9130 images/s
[07/26 17:26:08] ppdet.engine INFO: Epoch: [23] [640/732] learning_rate: 0.196992 loss_vfl: 1.404989 loss_bbox: 0.824079 loss_dfl: 0.543670 loss: 2.778839 eta: 2 days, 15:08:10 batch_cost: 1.0917 data_cost: 0.0066 ips: 36.6411 images/s
[07/26 17:26:36] ppdet.engine INFO: Epoch: [23] [660/732] learning_rate: 0.196985 loss_vfl: 1.371340 loss_bbox: 0.785672 loss_dfl: 0.527202 loss: 2.676382 eta: 2 days, 15:08:06 batch_cost: 1.2047 data_cost: 0.0100 ips: 33.2029 images/s
[07/26 17:27:03] ppdet.engine INFO: Epoch: [23] [680/732] learning_rate: 0.196977 loss_vfl: 1.480638 loss_bbox: 0.809592 loss_dfl: 0.550536 loss: 2.806151 eta: 2 days, 15:07:50 batch_cost: 1.1534 data_cost: 0.0086 ips: 34.6797 images/s
[07/26 17:27:31] ppdet.engine INFO: Epoch: [23] [700/732] learning_rate: 0.196970 loss_vfl: 1.396043 loss_bbox: 0.783270 loss_dfl: 0.527508 loss: 2.705000 eta: 2 days, 15:07:41 batch_cost: 1.1812 data_cost: 0.0065 ips: 33.8646 images/s
[07/26 17:27:57] ppdet.engine INFO: Epoch: [23] [720/732] learning_rate: 0.196962 loss_vfl: 1.446701 loss_bbox: 0.836190 loss_dfl: 0.563759 loss: 2.879707 eta: 2 days, 15:07:05 batch_cost: 1.0671 data_cost: 0.0076 ips: 37.4850 images/s
[07/26 17:28:20] ppdet.engine INFO: Epoch: [24] [  0/732] learning_rate: 0.196958 loss_vfl: 1.433584 loss_bbox: 0.816839 loss_dfl: 0.551233 loss: 2.820598 eta: 2 days, 15:07:59 batch_cost: 1.3322 data_cost: 0.5187 ips: 30.0254 images/s
[07/26 17:28:49] ppdet.engine INFO: Epoch: [24] [ 20/732] learning_rate: 0.196950 loss_vfl: 1.434445 loss_bbox: 0.797382 loss_dfl: 0.543456 loss: 2.780460 eta: 2 days, 15:08:06 batch_cost: 1.2526 data_cost: 0.0039 ips: 31.9326 images/s
[07/26 17:29:16] ppdet.engine INFO: Epoch: [24] [ 40/732] learning_rate: 0.196942 loss_vfl: 1.384183 loss_bbox: 0.779752 loss_dfl: 0.533868 loss: 2.684764 eta: 2 days, 15:07:52 batch_cost: 1.1615 data_cost: 0.0062 ips: 34.4389 images/s
[07/26 17:29:43] ppdet.engine INFO: Epoch: [24] [ 60/732] learning_rate: 0.196935 loss_vfl: 1.453688 loss_bbox: 0.808398 loss_dfl: 0.550267 loss: 2.816477 eta: 2 days, 15:07:34 batch_cost: 1.1456 data_cost: 0.0044 ips: 34.9152 images/s
[07/26 17:30:12] ppdet.engine INFO: Epoch: [24] [ 80/732] learning_rate: 0.196927 loss_vfl: 1.458264 loss_bbox: 0.822368 loss_dfl: 0.560474 loss: 2.842989 eta: 2 days, 15:07:30 batch_cost: 1.2073 data_cost: 0.0021 ips: 33.1314 images/s
[07/26 17:30:39] ppdet.engine INFO: Epoch: [24] [100/732] learning_rate: 0.196920 loss_vfl: 1.361072 loss_bbox: 0.773858 loss_dfl: 0.528602 loss: 2.664266 eta: 2 days, 15:07:14 batch_cost: 1.1539 data_cost: 0.0024 ips: 34.6660 images/s
[07/26 17:31:08] ppdet.engine INFO: Epoch: [24] [120/732] learning_rate: 0.196912 loss_vfl: 1.432771 loss_bbox: 0.818716 loss_dfl: 0.552244 loss: 2.803265 eta: 2 days, 15:07:10 batch_cost: 1.2056 data_cost: 0.0047 ips: 33.1798 images/s
[07/26 17:31:34] ppdet.engine INFO: Epoch: [24] [140/732] learning_rate: 0.196905 loss_vfl: 1.444601 loss_bbox: 0.823264 loss_dfl: 0.555024 loss: 2.825871 eta: 2 days, 15:06:44 batch_cost: 1.1111 data_cost: 0.0029 ips: 36.0014 images/s
[07/26 17:32:01] ppdet.engine INFO: Epoch: [24] [160/732] learning_rate: 0.196897 loss_vfl: 1.396966 loss_bbox: 0.802488 loss_dfl: 0.546443 loss: 2.759512 eta: 2 days, 15:06:28 batch_cost: 1.1536 data_cost: 0.0071 ips: 34.6746 images/s
[07/26 17:32:27] ppdet.engine INFO: Epoch: [24] [180/732] learning_rate: 0.196890 loss_vfl: 1.454310 loss_bbox: 0.818522 loss_dfl: 0.555109 loss: 2.853450 eta: 2 days, 15:06:13 batch_cost: 1.1561 data_cost: 0.0065 ips: 34.5985 images/s
[07/26 17:32:53] ppdet.engine INFO: Epoch: [24] [200/732] learning_rate: 0.196882 loss_vfl: 1.435375 loss_bbox: 0.814469 loss_dfl: 0.550093 loss: 2.825139 eta: 2 days, 15:05:37 batch_cost: 1.0695 data_cost: 0.0030 ips: 37.4018 images/s
[07/26 17:33:19] ppdet.engine INFO: Epoch: [24] [220/732] learning_rate: 0.196874 loss_vfl: 1.400128 loss_bbox: 0.820673 loss_dfl: 0.540277 loss: 2.762372 eta: 2 days, 15:05:14 batch_cost: 1.1193 data_cost: 0.0085 ips: 35.7353 images/s
[07/26 17:33:47] ppdet.engine INFO: Epoch: [24] [240/732] learning_rate: 0.196867 loss_vfl: 1.445204 loss_bbox: 0.861025 loss_dfl: 0.578025 loss: 2.890025 eta: 2 days, 15:05:06 batch_cost: 1.1910 data_cost: 0.0035 ips: 33.5846 images/s
[07/26 17:34:12] ppdet.engine INFO: Epoch: [24] [260/732] learning_rate: 0.196859 loss_vfl: 1.418638 loss_bbox: 0.785107 loss_dfl: 0.532055 loss: 2.757005 eta: 2 days, 15:04:26 batch_cost: 1.0476 data_cost: 0.0046 ips: 38.1823 images/s
[07/26 17:34:40] ppdet.engine INFO: Epoch: [24] [280/732] learning_rate: 0.196851 loss_vfl: 1.428114 loss_bbox: 0.836752 loss_dfl: 0.555831 loss: 2.798677 eta: 2 days, 15:04:18 batch_cost: 1.1894 data_cost: 0.0019 ips: 33.6291 images/s
[07/26 17:35:06] ppdet.engine INFO: Epoch: [24] [300/732] learning_rate: 0.196844 loss_vfl: 1.446927 loss_bbox: 0.831102 loss_dfl: 0.558467 loss: 2.828213 eta: 2 days, 15:03:57 batch_cost: 1.1316 data_cost: 0.0031 ips: 35.3496 images/s
[07/26 17:35:32] ppdet.engine INFO: Epoch: [24] [320/732] learning_rate: 0.196836 loss_vfl: 1.411121 loss_bbox: 0.808629 loss_dfl: 0.545140 loss: 2.766109 eta: 2 days, 15:03:37 batch_cost: 1.1390 data_cost: 0.0069 ips: 35.1177 images/s
[07/26 17:35:58] ppdet.engine INFO: Epoch: [24] [340/732] learning_rate: 0.196828 loss_vfl: 1.412566 loss_bbox: 0.803753 loss_dfl: 0.545910 loss: 2.753203 eta: 2 days, 15:03:06 batch_cost: 1.0864 data_cost: 0.0065 ips: 36.8189 images/s
[07/26 17:36:24] ppdet.engine INFO: Epoch: [24] [360/732] learning_rate: 0.196821 loss_vfl: 1.410221 loss_bbox: 0.801673 loss_dfl: 0.546129 loss: 2.786751 eta: 2 days, 15:02:30 batch_cost: 1.0665 data_cost: 0.0129 ips: 37.5049 images/s
[07/26 17:36:51] ppdet.engine INFO: Epoch: [24] [380/732] learning_rate: 0.196813 loss_vfl: 1.414515 loss_bbox: 0.781369 loss_dfl: 0.538921 loss: 2.789332 eta: 2 days, 15:02:08 batch_cost: 1.1282 data_cost: 0.0080 ips: 35.4536 images/s
[07/26 17:37:16] ppdet.engine INFO: Epoch: [24] [400/732] learning_rate: 0.196805 loss_vfl: 1.400253 loss_bbox: 0.805718 loss_dfl: 0.536769 loss: 2.715447 eta: 2 days, 15:01:19 batch_cost: 1.0076 data_cost: 0.0072 ips: 39.6972 images/s
[07/26 17:37:45] ppdet.engine INFO: Epoch: [24] [420/732] learning_rate: 0.196798 loss_vfl: 1.421996 loss_bbox: 0.807069 loss_dfl: 0.549206 loss: 2.791187 eta: 2 days, 15:01:30 batch_cost: 1.2730 data_cost: 0.0040 ips: 31.4207 images/s
[07/26 17:38:13] ppdet.engine INFO: Epoch: [24] [440/732] learning_rate: 0.196790 loss_vfl: 1.435826 loss_bbox: 0.806965 loss_dfl: 0.542609 loss: 2.786978 eta: 2 days, 15:01:34 batch_cost: 1.2419 data_cost: 0.0016 ips: 32.2079 images/s
[07/26 17:38:39] ppdet.engine INFO: Epoch: [24] [460/732] learning_rate: 0.196782 loss_vfl: 1.457939 loss_bbox: 0.846144 loss_dfl: 0.570692 loss: 2.855422 eta: 2 days, 15:00:58 batch_cost: 1.0675 data_cost: 0.0116 ips: 37.4717 images/s
[07/26 17:39:06] ppdet.engine INFO: Epoch: [24] [480/732] learning_rate: 0.196775 loss_vfl: 1.474286 loss_bbox: 0.832289 loss_dfl: 0.564475 loss: 2.833097 eta: 2 days, 15:00:49 batch_cost: 1.1858 data_cost: 0.0030 ips: 33.7333 images/s
[07/26 17:39:33] ppdet.engine INFO: Epoch: [24] [500/732] learning_rate: 0.196767 loss_vfl: 1.425920 loss_bbox: 0.821028 loss_dfl: 0.552284 loss: 2.779361 eta: 2 days, 15:00:20 batch_cost: 1.0966 data_cost: 0.0026 ips: 36.4761 images/s
[07/26 17:39:59] ppdet.engine INFO: Epoch: [24] [520/732] learning_rate: 0.196759 loss_vfl: 1.449546 loss_bbox: 0.821080 loss_dfl: 0.551381 loss: 2.814480 eta: 2 days, 15:00:03 batch_cost: 1.1481 data_cost: 0.0052 ips: 34.8396 images/s
[07/26 17:40:28] ppdet.engine INFO: Epoch: [24] [540/732] learning_rate: 0.196751 loss_vfl: 1.474580 loss_bbox: 0.835696 loss_dfl: 0.565385 loss: 2.870294 eta: 2 days, 15:00:04 batch_cost: 1.2346 data_cost: 0.0086 ips: 32.3986 images/s
[07/26 17:40:55] ppdet.engine INFO: Epoch: [24] [560/732] learning_rate: 0.196744 loss_vfl: 1.442159 loss_bbox: 0.840692 loss_dfl: 0.569239 loss: 2.864854 eta: 2 days, 14:59:38 batch_cost: 1.1103 data_cost: 0.0063 ips: 36.0268 images/s
[07/26 17:41:20] ppdet.engine INFO: Epoch: [24] [580/732] learning_rate: 0.196736 loss_vfl: 1.377288 loss_bbox: 0.808711 loss_dfl: 0.538197 loss: 2.744805 eta: 2 days, 14:58:53 batch_cost: 1.0238 data_cost: 0.0081 ips: 39.0716 images/s
[07/26 17:41:46] ppdet.engine INFO: Epoch: [24] [600/732] learning_rate: 0.196728 loss_vfl: 1.408184 loss_bbox: 0.831133 loss_dfl: 0.563279 loss: 2.835224 eta: 2 days, 14:58:17 batch_cost: 1.0611 data_cost: 0.0060 ips: 37.6964 images/s
[07/26 17:42:13] ppdet.engine INFO: Epoch: [24] [620/732] learning_rate: 0.196720 loss_vfl: 1.427500 loss_bbox: 0.837786 loss_dfl: 0.558871 loss: 2.789975 eta: 2 days, 14:57:50 batch_cost: 1.1055 data_cost: 0.0102 ips: 36.1829 images/s
[07/26 17:42:41] ppdet.engine INFO: Epoch: [24] [640/732] learning_rate: 0.196712 loss_vfl: 1.389886 loss_bbox: 0.779012 loss_dfl: 0.529538 loss: 2.713503 eta: 2 days, 14:57:38 batch_cost: 1.1743 data_cost: 0.0033 ips: 34.0628 images/s
[07/26 17:43:07] ppdet.engine INFO: Epoch: [24] [660/732] learning_rate: 0.196705 loss_vfl: 1.452965 loss_bbox: 0.823113 loss_dfl: 0.552894 loss: 2.797088 eta: 2 days, 14:57:04 batch_cost: 1.0725 data_cost: 0.0031 ips: 37.2959 images/s
[07/26 17:43:33] ppdet.engine INFO: Epoch: [24] [680/732] learning_rate: 0.196697 loss_vfl: 1.411958 loss_bbox: 0.800635 loss_dfl: 0.544194 loss: 2.770542 eta: 2 days, 14:56:31 batch_cost: 1.0798 data_cost: 0.0082 ips: 37.0434 images/s
[07/26 17:44:01] ppdet.engine INFO: Epoch: [24] [700/732] learning_rate: 0.196689 loss_vfl: 1.413484 loss_bbox: 0.787266 loss_dfl: 0.538496 loss: 2.747401 eta: 2 days, 14:56:31 batch_cost: 1.2278 data_cost: 0.0041 ips: 32.5781 images/s
[07/26 17:44:27] ppdet.engine INFO: Epoch: [24] [720/732] learning_rate: 0.196681 loss_vfl: 1.397292 loss_bbox: 0.776107 loss_dfl: 0.528780 loss: 2.709140 eta: 2 days, 14:56:06 batch_cost: 1.1153 data_cost: 0.0065 ips: 35.8653 images/s
[07/26 17:44:51] ppdet.engine INFO: Epoch: [25] [  0/732] learning_rate: 0.196676 loss_vfl: 1.446424 loss_bbox: 0.803858 loss_dfl: 0.553393 loss: 2.820796 eta: 2 days, 14:57:15 batch_cost: 1.5212 data_cost: 0.2807 ips: 26.2947 images/s
[07/26 17:45:18] ppdet.engine INFO: Epoch: [25] [ 20/732] learning_rate: 0.196669 loss_vfl: 1.367345 loss_bbox: 0.770702 loss_dfl: 0.525608 loss: 2.650229 eta: 2 days, 14:57:05 batch_cost: 1.1811 data_cost: 0.0067 ips: 33.8659 images/s
[07/26 17:45:45] ppdet.engine INFO: Epoch: [25] [ 40/732] learning_rate: 0.196661 loss_vfl: 1.423187 loss_bbox: 0.836332 loss_dfl: 0.565062 loss: 2.813775 eta: 2 days, 14:57:00 batch_cost: 1.2074 data_cost: 0.0049 ips: 33.1288 images/s
[07/26 17:46:11] ppdet.engine INFO: Epoch: [25] [ 60/732] learning_rate: 0.196653 loss_vfl: 1.441740 loss_bbox: 0.853274 loss_dfl: 0.572739 loss: 2.861262 eta: 2 days, 14:56:45 batch_cost: 1.1584 data_cost: 0.0078 ips: 34.5299 images/s
[07/26 17:46:39] ppdet.engine INFO: Epoch: [25] [ 80/732] learning_rate: 0.196645 loss_vfl: 1.393920 loss_bbox: 0.777853 loss_dfl: 0.523548 loss: 2.692497 eta: 2 days, 14:56:43 batch_cost: 1.2215 data_cost: 0.0059 ips: 32.7469 images/s
[07/26 17:47:04] ppdet.engine INFO: Epoch: [25] [100/732] learning_rate: 0.196637 loss_vfl: 1.435479 loss_bbox: 0.833313 loss_dfl: 0.560656 loss: 2.812813 eta: 2 days, 14:56:13 batch_cost: 1.0930 data_cost: 0.0057 ips: 36.5979 images/s
[07/26 17:47:32] ppdet.engine INFO: Epoch: [25] [120/732] learning_rate: 0.196629 loss_vfl: 1.424530 loss_bbox: 0.796715 loss_dfl: 0.535173 loss: 2.752498 eta: 2 days, 14:56:03 batch_cost: 1.1799 data_cost: 0.0059 ips: 33.9009 images/s
[07/26 17:47:58] ppdet.engine INFO: Epoch: [25] [140/732] learning_rate: 0.196621 loss_vfl: 1.468717 loss_bbox: 0.828153 loss_dfl: 0.555230 loss: 2.820859 eta: 2 days, 14:55:42 batch_cost: 1.1342 data_cost: 0.0087 ips: 35.2676 images/s
[07/26 17:48:25] ppdet.engine INFO: Epoch: [25] [160/732] learning_rate: 0.196613 loss_vfl: 1.451481 loss_bbox: 0.828198 loss_dfl: 0.556148 loss: 2.864221 eta: 2 days, 14:55:23 batch_cost: 1.1429 data_cost: 0.0162 ips: 34.9994 images/s
[07/26 17:48:53] ppdet.engine INFO: Epoch: [25] [180/732] learning_rate: 0.196605 loss_vfl: 1.431119 loss_bbox: 0.832314 loss_dfl: 0.555349 loss: 2.817878 eta: 2 days, 14:55:10 batch_cost: 1.1704 data_cost: 0.0040 ips: 34.1768 images/s
[07/26 17:49:18] ppdet.engine INFO: Epoch: [25] [200/732] learning_rate: 0.196597 loss_vfl: 1.454149 loss_bbox: 0.817494 loss_dfl: 0.554197 loss: 2.846295 eta: 2 days, 14:54:23 batch_cost: 1.0144 data_cost: 0.0095 ips: 39.4311 images/s
[07/26 17:49:46] ppdet.engine INFO: Epoch: [25] [220/732] learning_rate: 0.196589 loss_vfl: 1.399254 loss_bbox: 0.816419 loss_dfl: 0.543964 loss: 2.721285 eta: 2 days, 14:53:54 batch_cost: 1.0960 data_cost: 0.0038 ips: 36.4951 images/s
[07/26 17:50:10] ppdet.engine INFO: Epoch: [25] [240/732] learning_rate: 0.196582 loss_vfl: 1.398267 loss_bbox: 0.822838 loss_dfl: 0.555461 loss: 2.800035 eta: 2 days, 14:53:06 batch_cost: 1.0092 data_cost: 0.0037 ips: 39.6356 images/s
[07/26 17:50:37] ppdet.engine INFO: Epoch: [25] [260/732] learning_rate: 0.196574 loss_vfl: 1.440506 loss_bbox: 0.833810 loss_dfl: 0.568824 loss: 2.868542 eta: 2 days, 14:52:52 batch_cost: 1.1657 data_cost: 0.0069 ips: 34.3148 images/s
[07/26 17:51:04] ppdet.engine INFO: Epoch: [25] [280/732] learning_rate: 0.196566 loss_vfl: 1.439723 loss_bbox: 0.801065 loss_dfl: 0.554466 loss: 2.778307 eta: 2 days, 14:52:31 batch_cost: 1.1334 data_cost: 0.0027 ips: 35.2912 images/s
[07/26 17:51:32] ppdet.engine INFO: Epoch: [25] [300/732] learning_rate: 0.196558 loss_vfl: 1.427062 loss_bbox: 0.815289 loss_dfl: 0.553539 loss: 2.814346 eta: 2 days, 14:52:34 batch_cost: 1.2424 data_cost: 0.0114 ips: 32.1969 images/s
[07/26 17:51:59] ppdet.engine INFO: Epoch: [25] [320/732] learning_rate: 0.196550 loss_vfl: 1.456160 loss_bbox: 0.811198 loss_dfl: 0.549662 loss: 2.816546 eta: 2 days, 14:52:12 batch_cost: 1.1301 data_cost: 0.0053 ips: 35.3961 images/s
[07/26 17:52:24] ppdet.engine INFO: Epoch: [25] [340/732] learning_rate: 0.196542 loss_vfl: 1.373878 loss_bbox: 0.821538 loss_dfl: 0.543857 loss: 2.740712 eta: 2 days, 14:51:26 batch_cost: 1.0145 data_cost: 0.0117 ips: 39.4268 images/s
[07/26 17:52:53] ppdet.engine INFO: Epoch: [25] [360/732] learning_rate: 0.196534 loss_vfl: 1.417534 loss_bbox: 0.805414 loss_dfl: 0.546337 loss: 2.775132 eta: 2 days, 14:51:24 batch_cost: 1.2236 data_cost: 0.0098 ips: 32.6901 images/s
[07/26 17:53:20] ppdet.engine INFO: Epoch: [25] [380/732] learning_rate: 0.196526 loss_vfl: 1.411421 loss_bbox: 0.820595 loss_dfl: 0.548167 loss: 2.794171 eta: 2 days, 14:50:49 batch_cost: 1.0672 data_cost: 0.0061 ips: 37.4826 images/s
[07/26 17:53:47] ppdet.engine INFO: Epoch: [25] [400/732] learning_rate: 0.196518 loss_vfl: 1.416553 loss_bbox: 0.813973 loss_dfl: 0.548465 loss: 2.785040 eta: 2 days, 14:50:33 batch_cost: 1.1539 data_cost: 0.0040 ips: 34.6639 images/s
[07/26 17:54:15] ppdet.engine INFO: Epoch: [25] [420/732] learning_rate: 0.196510 loss_vfl: 1.416236 loss_bbox: 0.799531 loss_dfl: 0.550597 loss: 2.774547 eta: 2 days, 14:50:16 batch_cost: 1.1538 data_cost: 0.0100 ips: 34.6694 images/s
[07/26 17:54:41] ppdet.engine INFO: Epoch: [25] [440/732] learning_rate: 0.196502 loss_vfl: 1.355123 loss_bbox: 0.763858 loss_dfl: 0.520223 loss: 2.632928 eta: 2 days, 14:49:36 batch_cost: 1.0465 data_cost: 0.0036 ips: 38.2214 images/s
[07/26 17:55:08] ppdet.engine INFO: Epoch: [25] [460/732] learning_rate: 0.196493 loss_vfl: 1.410884 loss_bbox: 0.800113 loss_dfl: 0.551598 loss: 2.786368 eta: 2 days, 14:49:12 batch_cost: 1.1154 data_cost: 0.0116 ips: 35.8615 images/s
[07/26 17:55:37] ppdet.engine INFO: Epoch: [25] [480/732] learning_rate: 0.196485 loss_vfl: 1.476104 loss_bbox: 0.840922 loss_dfl: 0.567896 loss: 2.884627 eta: 2 days, 14:48:49 batch_cost: 1.1268 data_cost: 0.0070 ips: 35.5003 images/s
[07/26 17:56:04] ppdet.engine INFO: Epoch: [25] [500/732] learning_rate: 0.196477 loss_vfl: 1.423455 loss_bbox: 0.791659 loss_dfl: 0.541294 loss: 2.761470 eta: 2 days, 14:48:17 batch_cost: 1.0809 data_cost: 0.0086 ips: 37.0051 images/s
[07/26 17:56:32] ppdet.engine INFO: Epoch: [25] [520/732] learning_rate: 0.196469 loss_vfl: 1.437569 loss_bbox: 0.810144 loss_dfl: 0.555478 loss: 2.805179 eta: 2 days, 14:47:54 batch_cost: 1.1223 data_cost: 0.0101 ips: 35.6399 images/s
[07/26 17:56:59] ppdet.engine INFO: Epoch: [25] [540/732] learning_rate: 0.196461 loss_vfl: 1.382061 loss_bbox: 0.807048 loss_dfl: 0.544493 loss: 2.755791 eta: 2 days, 14:47:29 batch_cost: 1.1170 data_cost: 0.0023 ips: 35.8112 images/s
[07/26 17:57:25] ppdet.engine INFO: Epoch: [25] [560/732] learning_rate: 0.196453 loss_vfl: 1.447070 loss_bbox: 0.826798 loss_dfl: 0.563832 loss: 2.832286 eta: 2 days, 14:46:58 batch_cost: 1.0847 data_cost: 0.0061 ips: 36.8774 images/s
[07/26 17:57:53] ppdet.engine INFO: Epoch: [25] [580/732] learning_rate: 0.196445 loss_vfl: 1.447283 loss_bbox: 0.815200 loss_dfl: 0.545207 loss: 2.787380 eta: 2 days, 14:46:43 batch_cost: 1.1617 data_cost: 0.0060 ips: 34.4324 images/s
[07/26 17:58:20] ppdet.engine INFO: Epoch: [25] [600/732] learning_rate: 0.196437 loss_vfl: 1.378088 loss_bbox: 0.793175 loss_dfl: 0.532369 loss: 2.680734 eta: 2 days, 14:46:29 batch_cost: 1.1664 data_cost: 0.0064 ips: 34.2931 images/s
[07/26 17:58:48] ppdet.engine INFO: Epoch: [25] [620/732] learning_rate: 0.196429 loss_vfl: 1.373007 loss_bbox: 0.770149 loss_dfl: 0.519263 loss: 2.646817 eta: 2 days, 14:46:11 batch_cost: 1.1478 data_cost: 0.0073 ips: 34.8495 images/s
[07/26 17:59:16] ppdet.engine INFO: Epoch: [25] [640/732] learning_rate: 0.196421 loss_vfl: 1.437794 loss_bbox: 0.821564 loss_dfl: 0.550999 loss: 2.798882 eta: 2 days, 14:45:54 batch_cost: 1.1523 data_cost: 0.0052 ips: 34.7124 images/s
[07/26 17:59:43] ppdet.engine INFO: Epoch: [25] [660/732] learning_rate: 0.196412 loss_vfl: 1.391649 loss_bbox: 0.785949 loss_dfl: 0.538959 loss: 2.708991 eta: 2 days, 14:45:21 batch_cost: 1.0729 data_cost: 0.0044 ips: 37.2837 images/s
[07/26 18:00:09] ppdet.engine INFO: Epoch: [25] [680/732] learning_rate: 0.196404 loss_vfl: 1.430747 loss_bbox: 0.794785 loss_dfl: 0.537204 loss: 2.746000 eta: 2 days, 14:44:50 batch_cost: 1.0888 data_cost: 0.0066 ips: 36.7375 images/s
[07/26 18:00:35] ppdet.engine INFO: Epoch: [25] [700/732] learning_rate: 0.196396 loss_vfl: 1.433365 loss_bbox: 0.827419 loss_dfl: 0.559556 loss: 2.822611 eta: 2 days, 14:44:12 batch_cost: 1.0507 data_cost: 0.0049 ips: 38.0682 images/s
[07/26 18:01:03] ppdet.engine INFO: Epoch: [25] [720/732] learning_rate: 0.196388 loss_vfl: 1.446097 loss_bbox: 0.814347 loss_dfl: 0.563298 loss: 2.843715 eta: 2 days, 14:43:52 batch_cost: 1.1411 data_cost: 0.0117 ips: 35.0550 images/s
[07/26 18:01:20] ppdet.engine INFO: Epoch: [26] [  0/732] learning_rate: 0.196383 loss_vfl: 1.427491 loss_bbox: 0.831859 loss_dfl: 0.563119 loss: 2.820206 eta: 2 days, 14:43:55 batch_cost: 1.1972 data_cost: 0.3055 ips: 33.4123 images/s
[07/26 18:01:51] ppdet.engine INFO: Epoch: [26] [ 20/732] learning_rate: 0.196375 loss_vfl: 1.413533 loss_bbox: 0.824582 loss_dfl: 0.556809 loss: 2.820731 eta: 2 days, 14:44:00 batch_cost: 1.2599 data_cost: 0.1376 ips: 31.7490 images/s
[07/26 18:02:19] ppdet.engine INFO: Epoch: [26] [ 40/732] learning_rate: 0.196367 loss_vfl: 1.442614 loss_bbox: 0.827737 loss_dfl: 0.562482 loss: 2.863659 eta: 2 days, 14:43:46 batch_cost: 1.1664 data_cost: 0.0075 ips: 34.2922 images/s
[07/26 18:02:46] ppdet.engine INFO: Epoch: [26] [ 60/732] learning_rate: 0.196358 loss_vfl: 1.395123 loss_bbox: 0.781906 loss_dfl: 0.532887 loss: 2.676683 eta: 2 days, 14:43:29 batch_cost: 1.1487 data_cost: 0.0154 ips: 34.8226 images/s
[07/26 18:03:14] ppdet.engine INFO: Epoch: [26] [ 80/732] learning_rate: 0.196350 loss_vfl: 1.414550 loss_bbox: 0.797541 loss_dfl: 0.540823 loss: 2.755049 eta: 2 days, 14:43:02 batch_cost: 1.1081 data_cost: 0.0113 ips: 36.0986 images/s
[07/26 18:03:42] ppdet.engine INFO: Epoch: [26] [100/732] learning_rate: 0.196342 loss_vfl: 1.392299 loss_bbox: 0.784122 loss_dfl: 0.539058 loss: 2.729299 eta: 2 days, 14:43:00 batch_cost: 1.2205 data_cost: 0.0069 ips: 32.7727 images/s
[07/26 18:04:10] ppdet.engine INFO: Epoch: [26] [120/732] learning_rate: 0.196334 loss_vfl: 1.435566 loss_bbox: 0.784672 loss_dfl: 0.535009 loss: 2.756605 eta: 2 days, 14:42:48 batch_cost: 1.1809 data_cost: 0.0048 ips: 33.8717 images/s
[07/26 18:04:39] ppdet.engine INFO: Epoch: [26] [140/732] learning_rate: 0.196326 loss_vfl: 1.419960 loss_bbox: 0.814344 loss_dfl: 0.553133 loss: 2.816984 eta: 2 days, 14:42:49 batch_cost: 1.2386 data_cost: 0.0071 ips: 32.2940 images/s
[07/26 18:05:04] ppdet.engine INFO: Epoch: [26] [160/732] learning_rate: 0.196317 loss_vfl: 1.435919 loss_bbox: 0.823370 loss_dfl: 0.559783 loss: 2.802070 eta: 2 days, 14:42:14 batch_cost: 1.0634 data_cost: 0.0055 ips: 37.6166 images/s
[07/26 18:05:31] ppdet.engine INFO: Epoch: [26] [180/732] learning_rate: 0.196309 loss_vfl: 1.420886 loss_bbox: 0.811085 loss_dfl: 0.543753 loss: 2.747424 eta: 2 days, 14:42:01 batch_cost: 1.1739 data_cost: 0.0033 ips: 34.0742 images/s
[07/26 18:05:59] ppdet.engine INFO: Epoch: [26] [200/732] learning_rate: 0.196301 loss_vfl: 1.410984 loss_bbox: 0.799447 loss_dfl: 0.545363 loss: 2.763687 eta: 2 days, 14:41:28 batch_cost: 1.0738 data_cost: 0.0049 ips: 37.2525 images/s
[07/26 18:06:27] ppdet.engine INFO: Epoch: [26] [220/732] learning_rate: 0.196292 loss_vfl: 1.463930 loss_bbox: 0.804430 loss_dfl: 0.548461 loss: 2.802630 eta: 2 days, 14:41:23 batch_cost: 1.2146 data_cost: 0.0049 ips: 32.9338 images/s
[07/26 18:06:53] ppdet.engine INFO: Epoch: [26] [240/732] learning_rate: 0.196284 loss_vfl: 1.392607 loss_bbox: 0.767610 loss_dfl: 0.516223 loss: 2.682195 eta: 2 days, 14:40:45 batch_cost: 1.0483 data_cost: 0.0023 ips: 38.1584 images/s
[07/26 18:07:21] ppdet.engine INFO: Epoch: [26] [260/732] learning_rate: 0.196276 loss_vfl: 1.451357 loss_bbox: 0.833213 loss_dfl: 0.558893 loss: 2.828901 eta: 2 days, 14:40:37 batch_cost: 1.1982 data_cost: 0.0070 ips: 33.3825 images/s
[07/26 18:07:48] ppdet.engine INFO: Epoch: [26] [280/732] learning_rate: 0.196268 loss_vfl: 1.419135 loss_bbox: 0.802710 loss_dfl: 0.540112 loss: 2.759790 eta: 2 days, 14:40:22 batch_cost: 1.1611 data_cost: 0.0050 ips: 34.4492 images/s
[07/26 18:08:15] ppdet.engine INFO: Epoch: [26] [300/732] learning_rate: 0.196259 loss_vfl: 1.442978 loss_bbox: 0.803779 loss_dfl: 0.547857 loss: 2.810577 eta: 2 days, 14:40:11 batch_cost: 1.1840 data_cost: 0.0033 ips: 33.7851 images/s
[07/26 18:08:41] ppdet.engine INFO: Epoch: [26] [320/732] learning_rate: 0.196251 loss_vfl: 1.387844 loss_bbox: 0.806416 loss_dfl: 0.548833 loss: 2.757739 eta: 2 days, 14:39:28 batch_cost: 1.0267 data_cost: 0.0039 ips: 38.9606 images/s
[07/26 18:09:08] ppdet.engine INFO: Epoch: [26] [340/732] learning_rate: 0.196243 loss_vfl: 1.440245 loss_bbox: 0.818905 loss_dfl: 0.551041 loss: 2.827095 eta: 2 days, 14:39:15 batch_cost: 1.1719 data_cost: 0.0096 ips: 34.1324 images/s
[07/26 18:09:36] ppdet.engine INFO: Epoch: [26] [360/732] learning_rate: 0.196234 loss_vfl: 1.427528 loss_bbox: 0.839869 loss_dfl: 0.560019 loss: 2.827478 eta: 2 days, 14:38:51 batch_cost: 1.1184 data_cost: 0.0042 ips: 35.7639 images/s
[07/26 18:10:02] ppdet.engine INFO: Epoch: [26] [380/732] learning_rate: 0.196226 loss_vfl: 1.440097 loss_bbox: 0.822775 loss_dfl: 0.560180 loss: 2.858325 eta: 2 days, 14:38:27 batch_cost: 1.1203 data_cost: 0.0050 ips: 35.7044 images/s
[07/26 18:10:29] ppdet.engine INFO: Epoch: [26] [400/732] learning_rate: 0.196218 loss_vfl: 1.358348 loss_bbox: 0.793374 loss_dfl: 0.535896 loss: 2.706308 eta: 2 days, 14:38:24 batch_cost: 1.2208 data_cost: 0.0025 ips: 32.7641 images/s
[07/26 18:10:56] ppdet.engine INFO: Epoch: [26] [420/732] learning_rate: 0.196209 loss_vfl: 1.416695 loss_bbox: 0.803680 loss_dfl: 0.551708 loss: 2.776927 eta: 2 days, 14:38:02 batch_cost: 1.1316 data_cost: 0.0065 ips: 35.3495 images/s
[07/26 18:11:22] ppdet.engine INFO: Epoch: [26] [440/732] learning_rate: 0.196201 loss_vfl: 1.417605 loss_bbox: 0.829867 loss_dfl: 0.567951 loss: 2.784891 eta: 2 days, 14:37:36 batch_cost: 1.1074 data_cost: 0.0099 ips: 36.1198 images/s
[07/26 18:11:49] ppdet.engine INFO: Epoch: [26] [460/732] learning_rate: 0.196192 loss_vfl: 1.415450 loss_bbox: 0.795526 loss_dfl: 0.541595 loss: 2.739666 eta: 2 days, 14:37:07 batch_cost: 1.0955 data_cost: 0.0065 ips: 36.5135 images/s
[07/26 18:12:17] ppdet.engine INFO: Epoch: [26] [480/732] learning_rate: 0.196184 loss_vfl: 1.396715 loss_bbox: 0.795422 loss_dfl: 0.534896 loss: 2.685086 eta: 2 days, 14:36:54 batch_cost: 1.1730 data_cost: 0.0110 ips: 34.1004 images/s
[07/26 18:12:45] ppdet.engine INFO: Epoch: [26] [500/732] learning_rate: 0.196176 loss_vfl: 1.387928 loss_bbox: 0.814734 loss_dfl: 0.553673 loss: 2.739311 eta: 2 days, 14:36:47 batch_cost: 1.2030 data_cost: 0.0055 ips: 33.2502 images/s
[07/26 18:13:10] ppdet.engine INFO: Epoch: [26] [520/732] learning_rate: 0.196167 loss_vfl: 1.382313 loss_bbox: 0.803276 loss_dfl: 0.552651 loss: 2.766384 eta: 2 days, 14:36:06 batch_cost: 1.0377 data_cost: 0.0102 ips: 38.5479 images/s
[07/26 18:13:37] ppdet.engine INFO: Epoch: [26] [540/732] learning_rate: 0.196159 loss_vfl: 1.479019 loss_bbox: 0.810359 loss_dfl: 0.556780 loss: 2.860708 eta: 2 days, 14:35:38 batch_cost: 1.1006 data_cost: 0.0039 ips: 36.3438 images/s
[07/26 18:14:04] ppdet.engine INFO: Epoch: [26] [560/732] learning_rate: 0.196150 loss_vfl: 1.356417 loss_bbox: 0.769638 loss_dfl: 0.527480 loss: 2.646571 eta: 2 days, 14:35:15 batch_cost: 1.1236 data_cost: 0.0121 ips: 35.5986 images/s
[07/26 18:14:30] ppdet.engine INFO: Epoch: [26] [580/732] learning_rate: 0.196142 loss_vfl: 1.420536 loss_bbox: 0.773624 loss_dfl: 0.540019 loss: 2.725974 eta: 2 days, 14:34:55 batch_cost: 1.1383 data_cost: 0.0049 ips: 35.1388 images/s
[07/26 18:14:58] ppdet.engine INFO: Epoch: [26] [600/732] learning_rate: 0.196134 loss_vfl: 1.407834 loss_bbox: 0.813023 loss_dfl: 0.541478 loss: 2.775978 eta: 2 days, 14:34:49 batch_cost: 1.2064 data_cost: 0.0033 ips: 33.1576 images/s
[07/26 18:15:24] ppdet.engine INFO: Epoch: [26] [620/732] learning_rate: 0.196125 loss_vfl: 1.405513 loss_bbox: 0.815347 loss_dfl: 0.557690 loss: 2.812970 eta: 2 days, 14:34:26 batch_cost: 1.1227 data_cost: 0.0091 ips: 35.6272 images/s
[07/26 18:15:52] ppdet.engine INFO: Epoch: [26] [640/732] learning_rate: 0.196117 loss_vfl: 1.454664 loss_bbox: 0.810545 loss_dfl: 0.551422 loss: 2.827431 eta: 2 days, 14:34:09 batch_cost: 1.1539 data_cost: 0.0028 ips: 34.6652 images/s
[07/26 18:16:17] ppdet.engine INFO: Epoch: [26] [660/732] learning_rate: 0.196108 loss_vfl: 1.422342 loss_bbox: 0.827348 loss_dfl: 0.561980 loss: 2.819724 eta: 2 days, 14:33:39 batch_cost: 1.0906 data_cost: 0.0066 ips: 36.6781 images/s
[07/26 18:16:46] ppdet.engine INFO: Epoch: [26] [680/732] learning_rate: 0.196100 loss_vfl: 1.447006 loss_bbox: 0.859411 loss_dfl: 0.567155 loss: 2.834239 eta: 2 days, 14:33:43 batch_cost: 1.2581 data_cost: 0.0056 ips: 31.7940 images/s
[07/26 18:17:13] ppdet.engine INFO: Epoch: [26] [700/732] learning_rate: 0.196091 loss_vfl: 1.395658 loss_bbox: 0.813218 loss_dfl: 0.557851 loss: 2.768383 eta: 2 days, 14:33:16 batch_cost: 1.1069 data_cost: 0.0082 ips: 36.1380 images/s
[07/26 18:17:39] ppdet.engine INFO: Epoch: [26] [720/732] learning_rate: 0.196083 loss_vfl: 1.428947 loss_bbox: 0.806828 loss_dfl: 0.549560 loss: 2.797883 eta: 2 days, 14:32:41 batch_cost: 1.0622 data_cost: 0.0038 ips: 37.6579 images/s
[07/26 18:18:02] ppdet.engine INFO: Epoch: [27] [  0/732] learning_rate: 0.196078 loss_vfl: 1.469990 loss_bbox: 0.830566 loss_dfl: 0.557074 loss: 2.857104 eta: 2 days, 14:33:39 batch_cost: 1.4680 data_cost: 0.3510 ips: 27.2474 images/s
[07/26 18:18:30] ppdet.engine INFO: Epoch: [27] [ 20/732] learning_rate: 0.196069 loss_vfl: 1.376041 loss_bbox: 0.783062 loss_dfl: 0.535379 loss: 2.701520 eta: 2 days, 14:33:32 batch_cost: 1.2043 data_cost: 0.0046 ips: 33.2132 images/s
[07/26 18:18:58] ppdet.engine INFO: Epoch: [27] [ 40/732] learning_rate: 0.196061 loss_vfl: 1.430516 loss_bbox: 0.804900 loss_dfl: 0.560680 loss: 2.827404 eta: 2 days, 14:33:24 batch_cost: 1.1986 data_cost: 0.0038 ips: 33.3722 images/s
[07/26 18:19:26] ppdet.engine INFO: Epoch: [27] [ 60/732] learning_rate: 0.196052 loss_vfl: 1.388014 loss_bbox: 0.777214 loss_dfl: 0.531244 loss: 2.668854 eta: 2 days, 14:33:17 batch_cost: 1.2045 data_cost: 0.0016 ips: 33.2080 images/s
[07/26 18:19:51] ppdet.engine INFO: Epoch: [27] [ 80/732] learning_rate: 0.196043 loss_vfl: 1.411463 loss_bbox: 0.807420 loss_dfl: 0.544952 loss: 2.784357 eta: 2 days, 14:32:31 batch_cost: 1.0130 data_cost: 0.0063 ips: 39.4884 images/s
[07/26 18:20:19] ppdet.engine INFO: Epoch: [27] [100/732] learning_rate: 0.196035 loss_vfl: 1.411404 loss_bbox: 0.812741 loss_dfl: 0.549860 loss: 2.784480 eta: 2 days, 14:32:13 batch_cost: 1.1498 data_cost: 0.0057 ips: 34.7893 images/s
[07/26 18:20:45] ppdet.engine INFO: Epoch: [27] [120/732] learning_rate: 0.196026 loss_vfl: 1.448297 loss_bbox: 0.843484 loss_dfl: 0.559960 loss: 2.869895 eta: 2 days, 14:31:34 batch_cost: 1.0471 data_cost: 0.0037 ips: 38.1992 images/s
[07/26 18:21:13] ppdet.engine INFO: Epoch: [27] [140/732] learning_rate: 0.196018 loss_vfl: 1.387061 loss_bbox: 0.827279 loss_dfl: 0.548006 loss: 2.740987 eta: 2 days, 14:31:03 batch_cost: 1.0804 data_cost: 0.0048 ips: 37.0241 images/s
[07/26 18:21:40] ppdet.engine INFO: Epoch: [27] [160/732] learning_rate: 0.196009 loss_vfl: 1.425683 loss_bbox: 0.840023 loss_dfl: 0.570283 loss: 2.844083 eta: 2 days, 14:30:56 batch_cost: 1.2045 data_cost: 0.0029 ips: 33.2083 images/s
[07/26 18:22:07] ppdet.engine INFO: Epoch: [27] [180/732] learning_rate: 0.196001 loss_vfl: 1.436588 loss_bbox: 0.807295 loss_dfl: 0.550170 loss: 2.803033 eta: 2 days, 14:30:46 batch_cost: 1.1925 data_cost: 0.0060 ips: 33.5431 images/s
[07/26 18:22:33] ppdet.engine INFO: Epoch: [27] [200/732] learning_rate: 0.195992 loss_vfl: 1.399645 loss_bbox: 0.784340 loss_dfl: 0.530742 loss: 2.697049 eta: 2 days, 14:30:29 batch_cost: 1.1556 data_cost: 0.0026 ips: 34.6137 images/s
[07/26 18:23:01] ppdet.engine INFO: Epoch: [27] [220/732] learning_rate: 0.195983 loss_vfl: 1.391038 loss_bbox: 0.781394 loss_dfl: 0.530004 loss: 2.729571 eta: 2 days, 14:30:29 batch_cost: 1.2397 data_cost: 0.0058 ips: 32.2660 images/s
[07/26 18:23:28] ppdet.engine INFO: Epoch: [27] [240/732] learning_rate: 0.195975 loss_vfl: 1.452910 loss_bbox: 0.820109 loss_dfl: 0.553168 loss: 2.820700 eta: 2 days, 14:30:16 batch_cost: 1.1737 data_cost: 0.0027 ips: 34.0804 images/s
[07/26 18:23:53] ppdet.engine INFO: Epoch: [27] [260/732] learning_rate: 0.195966 loss_vfl: 1.422793 loss_bbox: 0.812532 loss_dfl: 0.551281 loss: 2.773801 eta: 2 days, 14:29:33 batch_cost: 1.0275 data_cost: 0.0067 ips: 38.9284 images/s
[07/26 18:24:19] ppdet.engine INFO: Epoch: [27] [280/732] learning_rate: 0.195957 loss_vfl: 1.417920 loss_bbox: 0.809762 loss_dfl: 0.545123 loss: 2.769915 eta: 2 days, 14:28:56 batch_cost: 1.0525 data_cost: 0.0034 ips: 38.0034 images/s
[07/26 18:24:45] ppdet.engine INFO: Epoch: [27] [300/732] learning_rate: 0.195949 loss_vfl: 1.390013 loss_bbox: 0.794595 loss_dfl: 0.537223 loss: 2.720623 eta: 2 days, 14:28:24 batch_cost: 1.0793 data_cost: 0.0035 ips: 37.0625 images/s
[07/26 18:25:11] ppdet.engine INFO: Epoch: [27] [320/732] learning_rate: 0.195940 loss_vfl: 1.374178 loss_bbox: 0.768002 loss_dfl: 0.528734 loss: 2.669240 eta: 2 days, 14:27:57 batch_cost: 1.1058 data_cost: 0.0020 ips: 36.1713 images/s
[07/26 18:25:37] ppdet.engine INFO: Epoch: [27] [340/732] learning_rate: 0.195932 loss_vfl: 1.402980 loss_bbox: 0.799222 loss_dfl: 0.549167 loss: 2.803716 eta: 2 days, 14:27:32 batch_cost: 1.1160 data_cost: 0.0047 ips: 35.8427 images/s
[07/26 18:26:04] ppdet.engine INFO: Epoch: [27] [360/732] learning_rate: 0.195923 loss_vfl: 1.409829 loss_bbox: 0.825418 loss_dfl: 0.559945 loss: 2.794193 eta: 2 days, 14:27:04 batch_cost: 1.0980 data_cost: 0.0065 ips: 36.4291 images/s
[07/26 18:26:29] ppdet.engine INFO: Epoch: [27] [380/732] learning_rate: 0.195914 loss_vfl: 1.382877 loss_bbox: 0.793585 loss_dfl: 0.535465 loss: 2.718713 eta: 2 days, 14:26:13 batch_cost: 0.9837 data_cost: 0.0092 ips: 40.6624 images/s
[07/26 18:26:57] ppdet.engine INFO: Epoch: [27] [400/732] learning_rate: 0.195905 loss_vfl: 1.397647 loss_bbox: 0.815661 loss_dfl: 0.550729 loss: 2.781067 eta: 2 days, 14:25:57 batch_cost: 1.1598 data_cost: 0.0075 ips: 34.4892 images/s
[07/26 18:27:23] ppdet.engine INFO: Epoch: [27] [420/732] learning_rate: 0.195897 loss_vfl: 1.428896 loss_bbox: 0.790372 loss_dfl: 0.537364 loss: 2.748261 eta: 2 days, 14:25:36 batch_cost: 1.1335 data_cost: 0.0036 ips: 35.2877 images/s
[07/26 18:27:50] ppdet.engine INFO: Epoch: [27] [440/732] learning_rate: 0.195888 loss_vfl: 1.405958 loss_bbox: 0.793004 loss_dfl: 0.540561 loss: 2.737247 eta: 2 days, 14:25:22 batch_cost: 1.1701 data_cost: 0.0049 ips: 34.1844 images/s
[07/26 18:28:17] ppdet.engine INFO: Epoch: [27] [460/732] learning_rate: 0.195879 loss_vfl: 1.375103 loss_bbox: 0.789635 loss_dfl: 0.536266 loss: 2.703300 eta: 2 days, 14:25:14 batch_cost: 1.1999 data_cost: 0.0045 ips: 33.3370 images/s
[07/26 18:28:43] ppdet.engine INFO: Epoch: [27] [480/732] learning_rate: 0.195871 loss_vfl: 1.458754 loss_bbox: 0.819051 loss_dfl: 0.558437 loss: 2.790229 eta: 2 days, 14:24:48 batch_cost: 1.1130 data_cost: 0.0033 ips: 35.9399 images/s
[07/26 18:29:10] ppdet.engine INFO: Epoch: [27] [500/732] learning_rate: 0.195862 loss_vfl: 1.447452 loss_bbox: 0.798531 loss_dfl: 0.555552 loss: 2.837729 eta: 2 days, 14:24:24 batch_cost: 1.1163 data_cost: 0.0044 ips: 35.8321 images/s
[07/26 18:29:37] ppdet.engine INFO: Epoch: [27] [520/732] learning_rate: 0.195853 loss_vfl: 1.475443 loss_bbox: 0.840070 loss_dfl: 0.566765 loss: 2.897044 eta: 2 days, 14:23:53 batch_cost: 1.0832 data_cost: 0.0073 ips: 36.9287 images/s
[07/26 18:30:03] ppdet.engine INFO: Epoch: [27] [540/732] learning_rate: 0.195844 loss_vfl: 1.452786 loss_bbox: 0.815961 loss_dfl: 0.560694 loss: 2.816206 eta: 2 days, 14:23:40 batch_cost: 1.1755 data_cost: 0.0077 ips: 34.0269 images/s
[07/26 18:30:31] ppdet.engine INFO: Epoch: [27] [560/732] learning_rate: 0.195836 loss_vfl: 1.421698 loss_bbox: 0.795204 loss_dfl: 0.535737 loss: 2.737629 eta: 2 days, 14:23:28 batch_cost: 1.1834 data_cost: 0.0063 ips: 33.8005 images/s
[07/26 18:30:56] ppdet.engine INFO: Epoch: [27] [580/732] learning_rate: 0.195827 loss_vfl: 1.393494 loss_bbox: 0.782337 loss_dfl: 0.536676 loss: 2.702489 eta: 2 days, 14:22:54 batch_cost: 1.0688 data_cost: 0.0070 ips: 37.4263 images/s
[07/26 18:31:23] ppdet.engine INFO: Epoch: [27] [600/732] learning_rate: 0.195818 loss_vfl: 1.396288 loss_bbox: 0.807171 loss_dfl: 0.548853 loss: 2.763718 eta: 2 days, 14:22:30 batch_cost: 1.1210 data_cost: 0.0036 ips: 35.6810 images/s
[07/26 18:31:48] ppdet.engine INFO: Epoch: [27] [620/732] learning_rate: 0.195809 loss_vfl: 1.427925 loss_bbox: 0.842085 loss_dfl: 0.560236 loss: 2.863170 eta: 2 days, 14:21:52 batch_cost: 1.0467 data_cost: 0.0072 ips: 38.2141 images/s
[07/26 18:32:17] ppdet.engine INFO: Epoch: [27] [640/732] learning_rate: 0.195801 loss_vfl: 1.430185 loss_bbox: 0.814921 loss_dfl: 0.544501 loss: 2.807575 eta: 2 days, 14:21:51 batch_cost: 1.2384 data_cost: 0.0043 ips: 32.2989 images/s
[07/26 18:32:43] ppdet.engine INFO: Epoch: [27] [660/732] learning_rate: 0.195792 loss_vfl: 1.449268 loss_bbox: 0.823579 loss_dfl: 0.558337 loss: 2.829780 eta: 2 days, 14:21:32 batch_cost: 1.1454 data_cost: 0.0057 ips: 34.9232 images/s
[07/26 18:33:10] ppdet.engine INFO: Epoch: [27] [680/732] learning_rate: 0.195783 loss_vfl: 1.390390 loss_bbox: 0.789625 loss_dfl: 0.537264 loss: 2.699953 eta: 2 days, 14:20:54 batch_cost: 1.0444 data_cost: 0.0096 ips: 38.2984 images/s
[07/26 18:33:35] ppdet.engine INFO: Epoch: [27] [700/732] learning_rate: 0.195774 loss_vfl: 1.387260 loss_bbox: 0.785234 loss_dfl: 0.535414 loss: 2.691734 eta: 2 days, 14:20:06 batch_cost: 0.9966 data_cost: 0.0054 ips: 40.1347 images/s
[07/26 18:34:02] ppdet.engine INFO: Epoch: [27] [720/732] learning_rate: 0.195765 loss_vfl: 1.363068 loss_bbox: 0.779428 loss_dfl: 0.521996 loss: 2.635114 eta: 2 days, 14:19:44 batch_cost: 1.1317 data_cost: 0.0135 ips: 35.3453 images/s
[07/26 18:34:21] ppdet.engine INFO: Epoch: [28] [  0/732] learning_rate: 0.195760 loss_vfl: 1.369461 loss_bbox: 0.818830 loss_dfl: 0.546957 loss: 2.749663 eta: 2 days, 14:20:04 batch_cost: 1.3201 data_cost: 0.4360 ips: 30.3013 images/s
[07/26 18:34:56] ppdet.engine INFO: Epoch: [28] [ 20/732] learning_rate: 0.195751 loss_vfl: 1.374655 loss_bbox: 0.783151 loss_dfl: 0.530127 loss: 2.685985 eta: 2 days, 14:20:59 batch_cost: 1.5275 data_cost: 0.0034 ips: 26.1862 images/s
[07/26 18:35:23] ppdet.engine INFO: Epoch: [28] [ 40/732] learning_rate: 0.195742 loss_vfl: 1.398140 loss_bbox: 0.796613 loss_dfl: 0.535084 loss: 2.746225 eta: 2 days, 14:20:44 batch_cost: 1.1621 data_cost: 0.0088 ips: 34.4200 images/s
[07/26 18:35:49] ppdet.engine INFO: Epoch: [28] [ 60/732] learning_rate: 0.195733 loss_vfl: 1.407076 loss_bbox: 0.825722 loss_dfl: 0.557160 loss: 2.803591 eta: 2 days, 14:20:16 batch_cost: 1.1004 data_cost: 0.0099 ips: 36.3488 images/s
[07/26 18:36:17] ppdet.engine INFO: Epoch: [28] [ 80/732] learning_rate: 0.195725 loss_vfl: 1.424067 loss_bbox: 0.801713 loss_dfl: 0.547761 loss: 2.774969 eta: 2 days, 14:19:48 batch_cost: 1.1009 data_cost: 0.0055 ips: 36.3324 images/s
[07/26 18:36:43] ppdet.engine INFO: Epoch: [28] [100/732] learning_rate: 0.195716 loss_vfl: 1.388455 loss_bbox: 0.817088 loss_dfl: 0.537259 loss: 2.737322 eta: 2 days, 14:19:19 batch_cost: 1.0928 data_cost: 0.0027 ips: 36.6021 images/s
[07/26 18:37:09] ppdet.engine INFO: Epoch: [28] [120/732] learning_rate: 0.195707 loss_vfl: 1.352163 loss_bbox: 0.801850 loss_dfl: 0.527464 loss: 2.681222 eta: 2 days, 14:18:51 batch_cost: 1.1014 data_cost: 0.0057 ips: 36.3174 images/s
[07/26 18:37:37] ppdet.engine INFO: Epoch: [28] [140/732] learning_rate: 0.195698 loss_vfl: 1.441492 loss_bbox: 0.809651 loss_dfl: 0.549103 loss: 2.783638 eta: 2 days, 14:18:36 batch_cost: 1.1640 data_cost: 0.0078 ips: 34.3649 images/s
[07/26 18:38:02] ppdet.engine INFO: Epoch: [28] [160/732] learning_rate: 0.195689 loss_vfl: 1.399036 loss_bbox: 0.809416 loss_dfl: 0.553388 loss: 2.759040 eta: 2 days, 14:17:57 batch_cost: 1.0411 data_cost: 0.0065 ips: 38.4222 images/s
[07/26 18:38:29] ppdet.engine INFO: Epoch: [28] [180/732] learning_rate: 0.195680 loss_vfl: 1.401850 loss_bbox: 0.812359 loss_dfl: 0.544800 loss: 2.761456 eta: 2 days, 14:17:20 batch_cost: 1.0523 data_cost: 0.0048 ips: 38.0120 images/s
[07/26 18:38:54] ppdet.engine INFO: Epoch: [28] [200/732] learning_rate: 0.195671 loss_vfl: 1.379856 loss_bbox: 0.804432 loss_dfl: 0.539093 loss: 2.719382 eta: 2 days, 14:16:37 batch_cost: 1.0240 data_cost: 0.0078 ips: 39.0607 images/s
[07/26 18:39:22] ppdet.engine INFO: Epoch: [28] [220/732] learning_rate: 0.195662 loss_vfl: 1.424758 loss_bbox: 0.795863 loss_dfl: 0.548437 loss: 2.789262 eta: 2 days, 14:16:21 batch_cost: 1.1593 data_cost: 0.0130 ips: 34.5031 images/s
[07/26 18:39:48] ppdet.engine INFO: Epoch: [28] [240/732] learning_rate: 0.195653 loss_vfl: 1.383865 loss_bbox: 0.781547 loss_dfl: 0.526546 loss: 2.703847 eta: 2 days, 14:15:53 batch_cost: 1.0989 data_cost: 0.0061 ips: 36.3990 images/s
[07/26 18:40:15] ppdet.engine INFO: Epoch: [28] [260/732] learning_rate: 0.195644 loss_vfl: 1.436367 loss_bbox: 0.795549 loss_dfl: 0.540273 loss: 2.773451 eta: 2 days, 14:15:35 batch_cost: 1.1513 data_cost: 0.0054 ips: 34.7445 images/s
[07/26 18:40:42] ppdet.engine INFO: Epoch: [28] [280/732] learning_rate: 0.195635 loss_vfl: 1.344418 loss_bbox: 0.785174 loss_dfl: 0.529679 loss: 2.630516 eta: 2 days, 14:15:18 batch_cost: 1.1549 data_cost: 0.0031 ips: 34.6352 images/s
[07/26 18:41:09] ppdet.engine INFO: Epoch: [28] [300/732] learning_rate: 0.195626 loss_vfl: 1.352363 loss_bbox: 0.736084 loss_dfl: 0.508472 loss: 2.602812 eta: 2 days, 14:15:03 batch_cost: 1.1671 data_cost: 0.0091 ips: 34.2723 images/s
[07/26 18:41:35] ppdet.engine INFO: Epoch: [28] [320/732] learning_rate: 0.195617 loss_vfl: 1.419295 loss_bbox: 0.810745 loss_dfl: 0.547283 loss: 2.788486 eta: 2 days, 14:14:18 batch_cost: 1.0095 data_cost: 0.0079 ips: 39.6217 images/s
[07/26 18:42:01] ppdet.engine INFO: Epoch: [28] [340/732] learning_rate: 0.195608 loss_vfl: 1.372398 loss_bbox: 0.773525 loss_dfl: 0.537971 loss: 2.727151 eta: 2 days, 14:13:59 batch_cost: 1.1437 data_cost: 0.0046 ips: 34.9730 images/s
[07/26 18:42:28] ppdet.engine INFO: Epoch: [28] [360/732] learning_rate: 0.195599 loss_vfl: 1.369124 loss_bbox: 0.774818 loss_dfl: 0.523424 loss: 2.651002 eta: 2 days, 14:13:52 batch_cost: 1.2117 data_cost: 0.0030 ips: 33.0124 images/s
[07/26 18:42:54] ppdet.engine INFO: Epoch: [28] [380/732] learning_rate: 0.195590 loss_vfl: 1.394281 loss_bbox: 0.778558 loss_dfl: 0.540428 loss: 2.743060 eta: 2 days, 14:13:26 batch_cost: 1.1097 data_cost: 0.0162 ips: 36.0457 images/s
[07/26 18:43:22] ppdet.engine INFO: Epoch: [28] [400/732] learning_rate: 0.195581 loss_vfl: 1.334920 loss_bbox: 0.771514 loss_dfl: 0.524034 loss: 2.622960 eta: 2 days, 14:13:04 batch_cost: 1.1294 data_cost: 0.0084 ips: 35.4180 images/s
[07/26 18:43:48] ppdet.engine INFO: Epoch: [28] [420/732] learning_rate: 0.195572 loss_vfl: 1.404706 loss_bbox: 0.775108 loss_dfl: 0.530944 loss: 2.701003 eta: 2 days, 14:12:36 batch_cost: 1.1000 data_cost: 0.0100 ips: 36.3641 images/s
[07/26 18:44:14] ppdet.engine INFO: Epoch: [28] [440/732] learning_rate: 0.195563 loss_vfl: 1.368834 loss_bbox: 0.779648 loss_dfl: 0.536788 loss: 2.687223 eta: 2 days, 14:12:11 batch_cost: 1.1145 data_cost: 0.0256 ips: 35.8907 images/s
[07/26 18:44:41] ppdet.engine INFO: Epoch: [28] [460/732] learning_rate: 0.195554 loss_vfl: 1.324025 loss_bbox: 0.777315 loss_dfl: 0.522577 loss: 2.612980 eta: 2 days, 14:12:05 batch_cost: 1.2121 data_cost: 0.0055 ips: 32.9997 images/s
[07/26 18:45:08] ppdet.engine INFO: Epoch: [28] [480/732] learning_rate: 0.195545 loss_vfl: 1.441079 loss_bbox: 0.811962 loss_dfl: 0.554072 loss: 2.763296 eta: 2 days, 14:11:41 batch_cost: 1.1192 data_cost: 0.0109 ips: 35.7412 images/s
[07/26 18:45:35] ppdet.engine INFO: Epoch: [28] [500/732] learning_rate: 0.195536 loss_vfl: 1.413013 loss_bbox: 0.856973 loss_dfl: 0.569022 loss: 2.811481 eta: 2 days, 14:11:11 batch_cost: 1.0884 data_cost: 0.0122 ips: 36.7507 images/s
[07/26 18:46:01] ppdet.engine INFO: Epoch: [28] [520/732] learning_rate: 0.195527 loss_vfl: 1.433582 loss_bbox: 0.828783 loss_dfl: 0.565289 loss: 2.838922 eta: 2 days, 14:10:53 batch_cost: 1.1540 data_cost: 0.0061 ips: 34.6631 images/s
[07/26 18:46:28] ppdet.engine INFO: Epoch: [28] [540/732] learning_rate: 0.195518 loss_vfl: 1.432260 loss_bbox: 0.807809 loss_dfl: 0.549647 loss: 2.784754 eta: 2 days, 14:10:29 batch_cost: 1.1196 data_cost: 0.0106 ips: 35.7281 images/s
[07/26 18:46:54] ppdet.engine INFO: Epoch: [28] [560/732] learning_rate: 0.195509 loss_vfl: 1.417197 loss_bbox: 0.773117 loss_dfl: 0.537409 loss: 2.716914 eta: 2 days, 14:10:02 batch_cost: 1.1019 data_cost: 0.0052 ips: 36.2996 images/s
[07/26 18:47:20] ppdet.engine INFO: Epoch: [28] [580/732] learning_rate: 0.195500 loss_vfl: 1.343017 loss_bbox: 0.730833 loss_dfl: 0.499254 loss: 2.585832 eta: 2 days, 14:09:24 batch_cost: 1.0437 data_cost: 0.0110 ips: 38.3257 images/s
[07/26 18:47:45] ppdet.engine INFO: Epoch: [28] [600/732] learning_rate: 0.195491 loss_vfl: 1.418737 loss_bbox: 0.796255 loss_dfl: 0.543915 loss: 2.746820 eta: 2 days, 14:08:36 batch_cost: 0.9938 data_cost: 0.0065 ips: 40.2480 images/s
[07/26 18:48:12] ppdet.engine INFO: Epoch: [28] [620/732] learning_rate: 0.195482 loss_vfl: 1.380416 loss_bbox: 0.796427 loss_dfl: 0.528012 loss: 2.690235 eta: 2 days, 14:08:11 batch_cost: 1.1141 data_cost: 0.0028 ips: 35.9024 images/s
[07/26 18:48:38] ppdet.engine INFO: Epoch: [28] [640/732] learning_rate: 0.195472 loss_vfl: 1.405175 loss_bbox: 0.788824 loss_dfl: 0.546822 loss: 2.758068 eta: 2 days, 14:07:43 batch_cost: 1.0959 data_cost: 0.0090 ips: 36.4991 images/s
[07/26 18:49:04] ppdet.engine INFO: Epoch: [28] [660/732] learning_rate: 0.195463 loss_vfl: 1.400839 loss_bbox: 0.797358 loss_dfl: 0.541337 loss: 2.724934 eta: 2 days, 14:07:18 batch_cost: 1.1124 data_cost: 0.0071 ips: 35.9570 images/s
[07/26 18:49:32] ppdet.engine INFO: Epoch: [28] [680/732] learning_rate: 0.195454 loss_vfl: 1.453521 loss_bbox: 0.804640 loss_dfl: 0.546334 loss: 2.791292 eta: 2 days, 14:07:09 batch_cost: 1.2028 data_cost: 0.0068 ips: 33.2552 images/s
[07/26 18:49:57] ppdet.engine INFO: Epoch: [28] [700/732] learning_rate: 0.195445 loss_vfl: 1.381724 loss_bbox: 0.766182 loss_dfl: 0.520109 loss: 2.659600 eta: 2 days, 14:06:32 batch_cost: 1.0493 data_cost: 0.0100 ips: 38.1217 images/s
[07/26 18:50:23] ppdet.engine INFO: Epoch: [28] [720/732] learning_rate: 0.195436 loss_vfl: 1.367694 loss_bbox: 0.784943 loss_dfl: 0.533282 loss: 2.685750 eta: 2 days, 14:06:04 batch_cost: 1.0949 data_cost: 0.0059 ips: 36.5332 images/s
[07/26 18:50:45] ppdet.engine INFO: Epoch: [29] [  0/732] learning_rate: 0.195430 loss_vfl: 1.339507 loss_bbox: 0.777354 loss_dfl: 0.528684 loss: 2.652211 eta: 2 days, 14:06:50 batch_cost: 1.4921 data_cost: 0.5518 ips: 26.8085 images/s
[07/26 18:51:14] ppdet.engine INFO: Epoch: [29] [ 20/732] learning_rate: 0.195421 loss_vfl: 1.353550 loss_bbox: 0.807733 loss_dfl: 0.538686 loss: 2.703958 eta: 2 days, 14:06:40 batch_cost: 1.1974 data_cost: 0.0058 ips: 33.4059 images/s
[07/26 18:51:41] ppdet.engine INFO: Epoch: [29] [ 40/732] learning_rate: 0.195412 loss_vfl: 1.429470 loss_bbox: 0.819136 loss_dfl: 0.558330 loss: 2.818070 eta: 2 days, 14:06:16 batch_cost: 1.1171 data_cost: 0.0016 ips: 35.8085 images/s
[07/26 18:52:08] ppdet.engine INFO: Epoch: [29] [ 60/732] learning_rate: 0.195403 loss_vfl: 1.380447 loss_bbox: 0.779912 loss_dfl: 0.530164 loss: 2.668264 eta: 2 days, 14:05:51 batch_cost: 1.1142 data_cost: 0.0089 ips: 35.9001 images/s
[07/26 18:52:35] ppdet.engine INFO: Epoch: [29] [ 80/732] learning_rate: 0.195394 loss_vfl: 1.421941 loss_bbox: 0.799871 loss_dfl: 0.549008 loss: 2.765082 eta: 2 days, 14:05:29 batch_cost: 1.1322 data_cost: 0.0102 ips: 35.3295 images/s
[07/26 18:53:02] ppdet.engine INFO: Epoch: [29] [100/732] learning_rate: 0.195384 loss_vfl: 1.364611 loss_bbox: 0.760402 loss_dfl: 0.525309 loss: 2.664793 eta: 2 days, 14:05:13 batch_cost: 1.1642 data_cost: 0.0094 ips: 34.3573 images/s
[07/26 18:53:29] ppdet.engine INFO: Epoch: [29] [120/732] learning_rate: 0.195375 loss_vfl: 1.300879 loss_bbox: 0.745664 loss_dfl: 0.504334 loss: 2.497312 eta: 2 days, 14:04:52 batch_cost: 1.1343 data_cost: 0.0052 ips: 35.2643 images/s
[07/26 18:53:55] ppdet.engine INFO: Epoch: [29] [140/732] learning_rate: 0.195366 loss_vfl: 1.421165 loss_bbox: 0.790401 loss_dfl: 0.554269 loss: 2.760984 eta: 2 days, 14:04:15 batch_cost: 1.0510 data_cost: 0.0064 ips: 38.0584 images/s
[07/26 18:54:22] ppdet.engine INFO: Epoch: [29] [160/732] learning_rate: 0.195357 loss_vfl: 1.389125 loss_bbox: 0.778679 loss_dfl: 0.536357 loss: 2.734358 eta: 2 days, 14:03:48 batch_cost: 1.1029 data_cost: 0.0088 ips: 36.2693 images/s
[07/26 18:54:48] ppdet.engine INFO: Epoch: [29] [180/732] learning_rate: 0.195347 loss_vfl: 1.437946 loss_bbox: 0.815334 loss_dfl: 0.548118 loss: 2.788617 eta: 2 days, 14:03:06 batch_cost: 1.0194 data_cost: 0.0046 ips: 39.2380 images/s
[07/26 18:55:13] ppdet.engine INFO: Epoch: [29] [200/732] learning_rate: 0.195338 loss_vfl: 1.425714 loss_bbox: 0.820040 loss_dfl: 0.562379 loss: 2.830043 eta: 2 days, 14:02:27 batch_cost: 1.0392 data_cost: 0.0028 ips: 38.4911 images/s
[07/26 18:55:43] ppdet.engine INFO: Epoch: [29] [220/732] learning_rate: 0.195329 loss_vfl: 1.466222 loss_bbox: 0.828339 loss_dfl: 0.569240 loss: 2.853910 eta: 2 days, 14:02:37 batch_cost: 1.3032 data_cost: 0.0874 ips: 30.6947 images/s
[07/26 18:56:08] ppdet.engine INFO: Epoch: [29] [240/732] learning_rate: 0.195320 loss_vfl: 1.384870 loss_bbox: 0.772981 loss_dfl: 0.527812 loss: 2.659430 eta: 2 days, 14:01:52 batch_cost: 1.0081 data_cost: 0.0015 ips: 39.6777 images/s
[07/26 18:56:35] ppdet.engine INFO: Epoch: [29] [260/732] learning_rate: 0.195310 loss_vfl: 1.372308 loss_bbox: 0.762357 loss_dfl: 0.528380 loss: 2.669446 eta: 2 days, 14:01:14 batch_cost: 1.0413 data_cost: 0.0082 ips: 38.4129 images/s
[07/26 18:57:01] ppdet.engine INFO: Epoch: [29] [280/732] learning_rate: 0.195301 loss_vfl: 1.380023 loss_bbox: 0.768922 loss_dfl: 0.521222 loss: 2.654062 eta: 2 days, 14:00:34 batch_cost: 1.0313 data_cost: 0.0036 ips: 38.7851 images/s
[07/26 18:57:29] ppdet.engine INFO: Epoch: [29] [300/732] learning_rate: 0.195292 loss_vfl: 1.425445 loss_bbox: 0.800893 loss_dfl: 0.542019 loss: 2.748523 eta: 2 days, 14:00:12 batch_cost: 1.1319 data_cost: 0.0089 ips: 35.3403 images/s
[07/26 18:57:54] ppdet.engine INFO: Epoch: [29] [320/732] learning_rate: 0.195282 loss_vfl: 1.436136 loss_bbox: 0.815990 loss_dfl: 0.553721 loss: 2.788514 eta: 2 days, 13:59:39 batch_cost: 1.0676 data_cost: 0.0071 ips: 37.4665 images/s
[07/26 18:58:22] ppdet.engine INFO: Epoch: [29] [340/732] learning_rate: 0.195273 loss_vfl: 1.427000 loss_bbox: 0.804364 loss_dfl: 0.550885 loss: 2.782582 eta: 2 days, 13:59:20 batch_cost: 1.1448 data_cost: 0.0052 ips: 34.9402 images/s
[07/26 18:58:49] ppdet.engine INFO: Epoch: [29] [360/732] learning_rate: 0.195264 loss_vfl: 1.390064 loss_bbox: 0.773965 loss_dfl: 0.530583 loss: 2.682144 eta: 2 days, 13:58:43 batch_cost: 1.0502 data_cost: 0.0098 ips: 38.0873 images/s
[07/26 18:59:16] ppdet.engine INFO: Epoch: [29] [380/732] learning_rate: 0.195254 loss_vfl: 1.393269 loss_bbox: 0.767789 loss_dfl: 0.524289 loss: 2.654592 eta: 2 days, 13:58:05 batch_cost: 1.0419 data_cost: 0.0177 ips: 38.3930 images/s
[07/26 18:59:41] ppdet.engine INFO: Epoch: [29] [400/732] learning_rate: 0.195245 loss_vfl: 1.333874 loss_bbox: 0.762537 loss_dfl: 0.517040 loss: 2.607781 eta: 2 days, 13:57:29 batch_cost: 1.0546 data_cost: 0.0144 ips: 37.9281 images/s
[07/26 19:00:09] ppdet.engine INFO: Epoch: [29] [420/732] learning_rate: 0.195236 loss_vfl: 1.435334 loss_bbox: 0.821413 loss_dfl: 0.554150 loss: 2.783562 eta: 2 days, 13:57:08 batch_cost: 1.1340 data_cost: 0.0082 ips: 35.2737 images/s
[07/26 19:00:35] ppdet.engine INFO: Epoch: [29] [440/732] learning_rate: 0.195226 loss_vfl: 1.391258 loss_bbox: 0.814470 loss_dfl: 0.542027 loss: 2.736372 eta: 2 days, 13:56:40 batch_cost: 1.0944 data_cost: 0.0049 ips: 36.5498 images/s
[07/26 19:01:04] ppdet.engine INFO: Epoch: [29] [460/732] learning_rate: 0.195217 loss_vfl: 1.379271 loss_bbox: 0.779381 loss_dfl: 0.545401 loss: 2.694268 eta: 2 days, 13:56:23 batch_cost: 1.1582 data_cost: 0.0091 ips: 34.5361 images/s
[07/26 19:01:30] ppdet.engine INFO: Epoch: [29] [480/732] learning_rate: 0.195208 loss_vfl: 1.392736 loss_bbox: 0.783373 loss_dfl: 0.530870 loss: 2.697339 eta: 2 days, 13:56:07 batch_cost: 1.1637 data_cost: 0.0028 ips: 34.3735 images/s
[07/26 19:01:55] ppdet.engine INFO: Epoch: [29] [500/732] learning_rate: 0.195198 loss_vfl: 1.391588 loss_bbox: 0.789945 loss_dfl: 0.534799 loss: 2.726051 eta: 2 days, 13:55:26 batch_cost: 1.0246 data_cost: 0.0049 ips: 39.0402 images/s
[07/26 19:02:21] ppdet.engine INFO: Epoch: [29] [520/732] learning_rate: 0.195189 loss_vfl: 1.320112 loss_bbox: 0.751203 loss_dfl: 0.508113 loss: 2.566669 eta: 2 days, 13:54:46 batch_cost: 1.0316 data_cost: 0.0084 ips: 38.7754 images/s
[07/26 19:02:48] ppdet.engine INFO: Epoch: [29] [540/732] learning_rate: 0.195179 loss_vfl: 1.369952 loss_bbox: 0.787332 loss_dfl: 0.539874 loss: 2.690067 eta: 2 days, 13:54:06 batch_cost: 1.0276 data_cost: 0.0036 ips: 38.9275 images/s
[07/26 19:03:14] ppdet.engine INFO: Epoch: [29] [560/732] learning_rate: 0.195170 loss_vfl: 1.432849 loss_bbox: 0.785167 loss_dfl: 0.537463 loss: 2.712580 eta: 2 days, 13:53:42 batch_cost: 1.1226 data_cost: 0.0077 ips: 35.6315 images/s
[07/26 19:03:41] ppdet.engine INFO: Epoch: [29] [580/732] learning_rate: 0.195161 loss_vfl: 1.470937 loss_bbox: 0.830490 loss_dfl: 0.559739 loss: 2.822991 eta: 2 days, 13:53:14 batch_cost: 1.0935 data_cost: 0.0037 ips: 36.5799 images/s
[07/26 19:04:06] ppdet.engine INFO: Epoch: [29] [600/732] learning_rate: 0.195151 loss_vfl: 1.393635 loss_bbox: 0.784759 loss_dfl: 0.529096 loss: 2.708360 eta: 2 days, 13:52:38 batch_cost: 1.0528 data_cost: 0.0056 ips: 37.9952 images/s
[07/26 19:04:32] ppdet.engine INFO: Epoch: [29] [620/732] learning_rate: 0.195142 loss_vfl: 1.336594 loss_bbox: 0.775502 loss_dfl: 0.525907 loss: 2.631525 eta: 2 days, 13:52:10 batch_cost: 1.0947 data_cost: 0.0017 ips: 36.5381 images/s
[07/26 19:05:00] ppdet.engine INFO: Epoch: [29] [640/732] learning_rate: 0.195132 loss_vfl: 1.433296 loss_bbox: 0.813387 loss_dfl: 0.555177 loss: 2.784392 eta: 2 days, 13:51:57 batch_cost: 1.1813 data_cost: 0.0065 ips: 33.8621 images/s
[07/26 19:05:28] ppdet.engine INFO: Epoch: [29] [660/732] learning_rate: 0.195123 loss_vfl: 1.412762 loss_bbox: 0.809039 loss_dfl: 0.560330 loss: 2.792143 eta: 2 days, 13:51:40 batch_cost: 1.1568 data_cost: 0.0183 ips: 34.5773 images/s
[07/26 19:05:56] ppdet.engine INFO: Epoch: [29] [680/732] learning_rate: 0.195113 loss_vfl: 1.413686 loss_bbox: 0.815920 loss_dfl: 0.554058 loss: 2.776755 eta: 2 days, 13:51:22 batch_cost: 1.1504 data_cost: 0.0044 ips: 34.7694 images/s
[07/26 19:06:24] ppdet.engine INFO: Epoch: [29] [700/732] learning_rate: 0.195104 loss_vfl: 1.417283 loss_bbox: 0.785932 loss_dfl: 0.538521 loss: 2.751962 eta: 2 days, 13:51:03 batch_cost: 1.1463 data_cost: 0.0163 ips: 34.8953 images/s
[07/26 19:06:49] ppdet.engine INFO: Epoch: [29] [720/732] learning_rate: 0.195094 loss_vfl: 1.402356 loss_bbox: 0.806627 loss_dfl: 0.558768 loss: 2.767751 eta: 2 days, 13:50:35 batch_cost: 1.0985 data_cost: 0.0112 ips: 36.4147 images/s
[07/26 19:07:00] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/26 19:07:00] ppdet.engine INFO: Eval iter: 0
[07/26 19:07:25] ppdet.engine INFO: Eval iter: 100
[07/26 19:07:37] ppdet.engine INFO: Eval iter: 200
[07/26 19:07:50] ppdet.engine INFO: Eval iter: 300
[07/26 19:08:02] ppdet.engine INFO: Eval iter: 400
[07/26 19:08:14] ppdet.engine INFO: Eval iter: 500
[07/26 19:08:26] ppdet.engine INFO: Eval iter: 600
[07/26 19:08:43] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.65s)
creating index...
index created!
[07/26 19:08:44] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.91s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=97.21s).
Accumulating evaluation results...
DONE (t=20.27s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.166
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.267
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.174
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.068
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.178
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.241
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.205
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.343
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.362
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.130
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.397
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.548
[07/26 19:10:48] ppdet.engine INFO: Total sample number: 4952, averge FPS: 55.52597752386035
[07/26 19:10:48] ppdet.engine INFO: Best test bbox ap is 0.166.
[07/26 19:10:48] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/26 19:10:50] ppdet.engine INFO: Epoch: [30] [  0/732] learning_rate: 0.195089 loss_vfl: 1.379182 loss_bbox: 0.796588 loss_dfl: 0.540097 loss: 2.722945 eta: 2 days, 13:49:39 batch_cost: 0.8470 data_cost: 0.0025 ips: 47.2276 images/s
[07/26 19:11:15] ppdet.engine INFO: Epoch: [30] [ 20/732] learning_rate: 0.195079 loss_vfl: 1.378593 loss_bbox: 0.786775 loss_dfl: 0.540408 loss: 2.737300 eta: 2 days, 13:49:07 batch_cost: 1.0738 data_cost: 0.0035 ips: 37.2498 images/s
[07/26 19:11:44] ppdet.engine INFO: Epoch: [30] [ 40/732] learning_rate: 0.195070 loss_vfl: 1.384327 loss_bbox: 0.801614 loss_dfl: 0.544148 loss: 2.725614 eta: 2 days, 13:49:06 batch_cost: 1.2449 data_cost: 0.0059 ips: 32.1299 images/s
[07/26 19:12:08] ppdet.engine INFO: Epoch: [30] [ 60/732] learning_rate: 0.195060 loss_vfl: 1.410864 loss_bbox: 0.812453 loss_dfl: 0.547041 loss: 2.752200 eta: 2 days, 13:48:28 batch_cost: 1.0423 data_cost: 0.0026 ips: 38.3774 images/s
[07/26 19:12:37] ppdet.engine INFO: Epoch: [30] [ 80/732] learning_rate: 0.195051 loss_vfl: 1.405965 loss_bbox: 0.791502 loss_dfl: 0.541312 loss: 2.733859 eta: 2 days, 13:48:18 batch_cost: 1.1939 data_cost: 0.0034 ips: 33.5041 images/s
[07/26 19:13:05] ppdet.engine INFO: Epoch: [30] [100/732] learning_rate: 0.195041 loss_vfl: 1.372610 loss_bbox: 0.777463 loss_dfl: 0.530481 loss: 2.680340 eta: 2 days, 13:47:55 batch_cost: 1.1250 data_cost: 0.0120 ips: 35.5557 images/s
[07/26 19:13:31] ppdet.engine INFO: Epoch: [30] [120/732] learning_rate: 0.195031 loss_vfl: 1.373781 loss_bbox: 0.816301 loss_dfl: 0.547973 loss: 2.772696 eta: 2 days, 13:47:17 batch_cost: 1.0384 data_cost: 0.0091 ips: 38.5203 images/s
[07/26 19:13:57] ppdet.engine INFO: Epoch: [30] [140/732] learning_rate: 0.195022 loss_vfl: 1.416155 loss_bbox: 0.835574 loss_dfl: 0.561252 loss: 2.767902 eta: 2 days, 13:46:44 batch_cost: 1.0694 data_cost: 0.0055 ips: 37.4052 images/s
[07/26 19:14:23] ppdet.engine INFO: Epoch: [30] [160/732] learning_rate: 0.195012 loss_vfl: 1.354811 loss_bbox: 0.781389 loss_dfl: 0.535287 loss: 2.651851 eta: 2 days, 13:46:09 batch_cost: 1.0553 data_cost: 0.0047 ips: 37.9041 images/s
[07/26 19:14:50] ppdet.engine INFO: Epoch: [30] [180/732] learning_rate: 0.195003 loss_vfl: 1.367438 loss_bbox: 0.751929 loss_dfl: 0.513794 loss: 2.627619 eta: 2 days, 13:45:41 batch_cost: 1.0981 data_cost: 0.0089 ips: 36.4258 images/s
[07/26 19:15:16] ppdet.engine INFO: Epoch: [30] [200/732] learning_rate: 0.194993 loss_vfl: 1.382615 loss_bbox: 0.775437 loss_dfl: 0.533296 loss: 2.687305 eta: 2 days, 13:45:11 batch_cost: 1.0811 data_cost: 0.0081 ips: 36.9983 images/s
[07/26 19:15:43] ppdet.engine INFO: Epoch: [30] [220/732] learning_rate: 0.194984 loss_vfl: 1.396740 loss_bbox: 0.788504 loss_dfl: 0.539369 loss: 2.737806 eta: 2 days, 13:44:43 batch_cost: 1.0951 data_cost: 0.0029 ips: 36.5254 images/s
[07/26 19:16:10] ppdet.engine INFO: Epoch: [30] [240/732] learning_rate: 0.194974 loss_vfl: 1.429417 loss_bbox: 0.802460 loss_dfl: 0.547022 loss: 2.790172 eta: 2 days, 13:44:19 batch_cost: 1.1182 data_cost: 0.0076 ips: 35.7732 images/s
[07/26 19:16:38] ppdet.engine INFO: Epoch: [30] [260/732] learning_rate: 0.194964 loss_vfl: 1.317501 loss_bbox: 0.755451 loss_dfl: 0.512854 loss: 2.585637 eta: 2 days, 13:44:04 batch_cost: 1.1667 data_cost: 0.0070 ips: 34.2840 images/s
[07/26 19:17:05] ppdet.engine INFO: Epoch: [30] [280/732] learning_rate: 0.194955 loss_vfl: 1.494388 loss_bbox: 0.872402 loss_dfl: 0.585515 loss: 2.977225 eta: 2 days, 13:43:48 batch_cost: 1.1653 data_cost: 0.0068 ips: 34.3262 images/s
[07/26 19:17:32] ppdet.engine INFO: Epoch: [30] [300/732] learning_rate: 0.194945 loss_vfl: 1.368907 loss_bbox: 0.774742 loss_dfl: 0.526665 loss: 2.665482 eta: 2 days, 13:43:28 batch_cost: 1.1400 data_cost: 0.0075 ips: 35.0875 images/s
[07/26 19:17:59] ppdet.engine INFO: Epoch: [30] [320/732] learning_rate: 0.194936 loss_vfl: 1.399744 loss_bbox: 0.807437 loss_dfl: 0.552119 loss: 2.761626 eta: 2 days, 13:43:07 batch_cost: 1.1329 data_cost: 0.0028 ips: 35.3083 images/s
[07/26 19:18:26] ppdet.engine INFO: Epoch: [30] [340/732] learning_rate: 0.194926 loss_vfl: 1.370040 loss_bbox: 0.788051 loss_dfl: 0.533448 loss: 2.672993 eta: 2 days, 13:42:44 batch_cost: 1.1242 data_cost: 0.0035 ips: 35.5817 images/s
[07/26 19:18:53] ppdet.engine INFO: Epoch: [30] [360/732] learning_rate: 0.194916 loss_vfl: 1.398874 loss_bbox: 0.797000 loss_dfl: 0.545814 loss: 2.764163 eta: 2 days, 13:42:19 batch_cost: 1.1143 data_cost: 0.0089 ips: 35.8975 images/s
[07/26 19:19:20] ppdet.engine INFO: Epoch: [30] [380/732] learning_rate: 0.194907 loss_vfl: 1.342365 loss_bbox: 0.764034 loss_dfl: 0.513753 loss: 2.586302 eta: 2 days, 13:41:51 batch_cost: 1.0938 data_cost: 0.0117 ips: 36.5712 images/s
[07/26 19:19:44] ppdet.engine INFO: Epoch: [30] [400/732] learning_rate: 0.194897 loss_vfl: 1.436996 loss_bbox: 0.835320 loss_dfl: 0.566567 loss: 2.810110 eta: 2 days, 13:41:01 batch_cost: 0.9717 data_cost: 0.0090 ips: 41.1639 images/s
[07/26 19:20:13] ppdet.engine INFO: Epoch: [30] [420/732] learning_rate: 0.194887 loss_vfl: 1.420680 loss_bbox: 0.830323 loss_dfl: 0.561430 loss: 2.874932 eta: 2 days, 13:40:48 batch_cost: 1.1763 data_cost: 0.0043 ips: 34.0062 images/s
[07/26 19:20:37] ppdet.engine INFO: Epoch: [30] [440/732] learning_rate: 0.194878 loss_vfl: 1.428494 loss_bbox: 0.818220 loss_dfl: 0.560129 loss: 2.803271 eta: 2 days, 13:40:08 batch_cost: 1.0264 data_cost: 0.0066 ips: 38.9694 images/s
[07/26 19:21:03] ppdet.engine INFO: Epoch: [30] [460/732] learning_rate: 0.194868 loss_vfl: 1.430867 loss_bbox: 0.812042 loss_dfl: 0.552809 loss: 2.806143 eta: 2 days, 13:39:34 batch_cost: 1.0607 data_cost: 0.0069 ips: 37.7116 images/s
[07/26 19:21:31] ppdet.engine INFO: Epoch: [30] [480/732] learning_rate: 0.194858 loss_vfl: 1.382943 loss_bbox: 0.793766 loss_dfl: 0.548620 loss: 2.716668 eta: 2 days, 13:39:17 batch_cost: 1.1572 data_cost: 0.0046 ips: 34.5675 images/s
[07/26 19:21:56] ppdet.engine INFO: Epoch: [30] [500/732] learning_rate: 0.194848 loss_vfl: 1.424365 loss_bbox: 0.829967 loss_dfl: 0.553613 loss: 2.793547 eta: 2 days, 13:38:28 batch_cost: 0.9747 data_cost: 0.0121 ips: 41.0403 images/s
[07/26 19:22:22] ppdet.engine INFO: Epoch: [30] [520/732] learning_rate: 0.194839 loss_vfl: 1.421172 loss_bbox: 0.815481 loss_dfl: 0.553038 loss: 2.787741 eta: 2 days, 13:37:58 batch_cost: 1.0871 data_cost: 0.0109 ips: 36.7957 images/s
[07/26 19:22:49] ppdet.engine INFO: Epoch: [30] [540/732] learning_rate: 0.194829 loss_vfl: 1.448307 loss_bbox: 0.803613 loss_dfl: 0.555937 loss: 2.793946 eta: 2 days, 13:37:35 batch_cost: 1.1218 data_cost: 0.0046 ips: 35.6559 images/s
[07/26 19:23:15] ppdet.engine INFO: Epoch: [30] [560/732] learning_rate: 0.194819 loss_vfl: 1.419168 loss_bbox: 0.796220 loss_dfl: 0.538259 loss: 2.747429 eta: 2 days, 13:37:14 batch_cost: 1.1342 data_cost: 0.0130 ips: 35.2671 images/s
[07/26 19:23:42] ppdet.engine INFO: Epoch: [30] [580/732] learning_rate: 0.194809 loss_vfl: 1.447262 loss_bbox: 0.815580 loss_dfl: 0.549236 loss: 2.814885 eta: 2 days, 13:36:54 batch_cost: 1.1390 data_cost: 0.0086 ips: 35.1197 images/s
[07/26 19:24:10] ppdet.engine INFO: Epoch: [30] [600/732] learning_rate: 0.194800 loss_vfl: 1.341389 loss_bbox: 0.759880 loss_dfl: 0.520910 loss: 2.618543 eta: 2 days, 13:36:48 batch_cost: 1.2179 data_cost: 0.0023 ips: 32.8438 images/s
[07/26 19:24:35] ppdet.engine INFO: Epoch: [30] [620/732] learning_rate: 0.194790 loss_vfl: 1.402689 loss_bbox: 0.791090 loss_dfl: 0.541963 loss: 2.750008 eta: 2 days, 13:36:04 batch_cost: 1.0073 data_cost: 0.0060 ips: 39.7115 images/s
[07/26 19:24:59] ppdet.engine INFO: Epoch: [30] [640/732] learning_rate: 0.194780 loss_vfl: 1.481927 loss_bbox: 0.831651 loss_dfl: 0.565546 loss: 2.852310 eta: 2 days, 13:35:13 batch_cost: 0.9586 data_cost: 0.0022 ips: 41.7274 images/s
[07/26 19:25:28] ppdet.engine INFO: Epoch: [30] [660/732] learning_rate: 0.194770 loss_vfl: 1.380084 loss_bbox: 0.798032 loss_dfl: 0.537120 loss: 2.712450 eta: 2 days, 13:35:17 batch_cost: 1.2763 data_cost: 0.0033 ips: 31.3395 images/s
[07/26 19:25:55] ppdet.engine INFO: Epoch: [30] [680/732] learning_rate: 0.194761 loss_vfl: 1.414988 loss_bbox: 0.788655 loss_dfl: 0.546221 loss: 2.742829 eta: 2 days, 13:34:55 batch_cost: 1.1304 data_cost: 0.0072 ips: 35.3842 images/s
[07/26 19:26:20] ppdet.engine INFO: Epoch: [30] [700/732] learning_rate: 0.194751 loss_vfl: 1.386604 loss_bbox: 0.793623 loss_dfl: 0.538273 loss: 2.740373 eta: 2 days, 13:34:12 batch_cost: 1.0066 data_cost: 0.0050 ips: 39.7359 images/s
[07/26 19:26:48] ppdet.engine INFO: Epoch: [30] [720/732] learning_rate: 0.194741 loss_vfl: 1.427022 loss_bbox: 0.818790 loss_dfl: 0.551805 loss: 2.792627 eta: 2 days, 13:33:46 batch_cost: 1.1087 data_cost: 0.0043 ips: 36.0774 images/s
[07/26 19:27:09] ppdet.engine INFO: Epoch: [31] [  0/732] learning_rate: 0.194735 loss_vfl: 1.398199 loss_bbox: 0.774234 loss_dfl: 0.526670 loss: 2.720278 eta: 2 days, 13:34:16 batch_cost: 1.3957 data_cost: 0.4083 ips: 28.6596 images/s
[07/26 19:27:40] ppdet.engine INFO: Epoch: [31] [ 20/732] learning_rate: 0.194725 loss_vfl: 1.316485 loss_bbox: 0.700993 loss_dfl: 0.489876 loss: 2.505227 eta: 2 days, 13:34:33 batch_cost: 1.3512 data_cost: 0.0744 ips: 29.6024 images/s
[07/26 19:28:07] ppdet.engine INFO: Epoch: [31] [ 40/732] learning_rate: 0.194715 loss_vfl: 1.412029 loss_bbox: 0.808754 loss_dfl: 0.544024 loss: 2.765246 eta: 2 days, 13:34:11 batch_cost: 1.1280 data_cost: 0.0049 ips: 35.4613 images/s
[07/26 19:28:35] ppdet.engine INFO: Epoch: [31] [ 60/732] learning_rate: 0.194705 loss_vfl: 1.407998 loss_bbox: 0.803161 loss_dfl: 0.542740 loss: 2.745569 eta: 2 days, 13:34:04 batch_cost: 1.2194 data_cost: 0.0032 ips: 32.8020 images/s
[07/26 19:29:03] ppdet.engine INFO: Epoch: [31] [ 80/732] learning_rate: 0.194696 loss_vfl: 1.432320 loss_bbox: 0.814085 loss_dfl: 0.554192 loss: 2.807245 eta: 2 days, 13:33:49 batch_cost: 1.1692 data_cost: 0.0057 ips: 34.2115 images/s
[07/26 19:29:30] ppdet.engine INFO: Epoch: [31] [100/732] learning_rate: 0.194686 loss_vfl: 1.366919 loss_bbox: 0.777487 loss_dfl: 0.537159 loss: 2.683384 eta: 2 days, 13:33:23 batch_cost: 1.1041 data_cost: 0.0033 ips: 36.2290 images/s
[07/26 19:29:58] ppdet.engine INFO: Epoch: [31] [120/732] learning_rate: 0.194676 loss_vfl: 1.411879 loss_bbox: 0.769086 loss_dfl: 0.539097 loss: 2.742676 eta: 2 days, 13:33:18 batch_cost: 1.2273 data_cost: 0.0025 ips: 32.5927 images/s
[07/26 19:30:25] ppdet.engine INFO: Epoch: [31] [140/732] learning_rate: 0.194666 loss_vfl: 1.399631 loss_bbox: 0.814816 loss_dfl: 0.545394 loss: 2.757018 eta: 2 days, 13:33:01 batch_cost: 1.1585 data_cost: 0.0060 ips: 34.5266 images/s
[07/26 19:30:53] ppdet.engine INFO: Epoch: [31] [160/732] learning_rate: 0.194656 loss_vfl: 1.401813 loss_bbox: 0.781093 loss_dfl: 0.529674 loss: 2.761965 eta: 2 days, 13:32:39 batch_cost: 1.1267 data_cost: 0.0051 ips: 35.5032 images/s
[07/26 19:31:19] ppdet.engine INFO: Epoch: [31] [180/732] learning_rate: 0.194646 loss_vfl: 1.390720 loss_bbox: 0.785054 loss_dfl: 0.534108 loss: 2.694033 eta: 2 days, 13:32:13 batch_cost: 1.1090 data_cost: 0.0057 ips: 36.0674 images/s
[07/26 19:31:46] ppdet.engine INFO: Epoch: [31] [200/732] learning_rate: 0.194636 loss_vfl: 1.382423 loss_bbox: 0.773713 loss_dfl: 0.534226 loss: 2.718971 eta: 2 days, 13:31:52 batch_cost: 1.1366 data_cost: 0.0073 ips: 35.1919 images/s
[07/26 19:32:12] ppdet.engine INFO: Epoch: [31] [220/732] learning_rate: 0.194626 loss_vfl: 1.378348 loss_bbox: 0.798537 loss_dfl: 0.533842 loss: 2.704690 eta: 2 days, 13:31:15 batch_cost: 1.0388 data_cost: 0.0062 ips: 38.5060 images/s
[07/26 19:32:39] ppdet.engine INFO: Epoch: [31] [240/732] learning_rate: 0.194616 loss_vfl: 1.383944 loss_bbox: 0.780650 loss_dfl: 0.535043 loss: 2.682770 eta: 2 days, 13:30:59 batch_cost: 1.1664 data_cost: 0.0054 ips: 34.2930 images/s
[07/26 19:33:06] ppdet.engine INFO: Epoch: [31] [260/732] learning_rate: 0.194607 loss_vfl: 1.388706 loss_bbox: 0.785497 loss_dfl: 0.536668 loss: 2.722336 eta: 2 days, 13:30:31 batch_cost: 1.0907 data_cost: 0.0109 ips: 36.6721 images/s
[07/26 19:33:35] ppdet.engine INFO: Epoch: [31] [280/732] learning_rate: 0.194597 loss_vfl: 1.404490 loss_bbox: 0.818895 loss_dfl: 0.546074 loss: 2.767107 eta: 2 days, 13:30:23 batch_cost: 1.2139 data_cost: 0.0128 ips: 32.9521 images/s
[07/26 19:34:01] ppdet.engine INFO: Epoch: [31] [300/732] learning_rate: 0.194587 loss_vfl: 1.387574 loss_bbox: 0.766157 loss_dfl: 0.518540 loss: 2.665538 eta: 2 days, 13:30:03 batch_cost: 1.1402 data_cost: 0.0106 ips: 35.0802 images/s
[07/26 19:34:28] ppdet.engine INFO: Epoch: [31] [320/732] learning_rate: 0.194577 loss_vfl: 1.344393 loss_bbox: 0.735031 loss_dfl: 0.503362 loss: 2.600564 eta: 2 days, 13:29:53 batch_cost: 1.1991 data_cost: 0.0063 ips: 33.3589 images/s
[07/26 19:34:53] ppdet.engine INFO: Epoch: [31] [340/732] learning_rate: 0.194567 loss_vfl: 1.455871 loss_bbox: 0.785289 loss_dfl: 0.541229 loss: 2.779335 eta: 2 days, 13:29:15 batch_cost: 1.0335 data_cost: 0.0038 ips: 38.7042 images/s
[07/26 19:35:21] ppdet.engine INFO: Epoch: [31] [360/732] learning_rate: 0.194557 loss_vfl: 1.441536 loss_bbox: 0.823907 loss_dfl: 0.563110 loss: 2.819336 eta: 2 days, 13:29:06 batch_cost: 1.2039 data_cost: 0.0068 ips: 33.2251 images/s
[07/26 19:35:47] ppdet.engine INFO: Epoch: [31] [380/732] learning_rate: 0.194547 loss_vfl: 1.379878 loss_bbox: 0.793966 loss_dfl: 0.545832 loss: 2.720582 eta: 2 days, 13:28:41 batch_cost: 1.1144 data_cost: 0.0079 ips: 35.8941 images/s
[07/26 19:36:15] ppdet.engine INFO: Epoch: [31] [400/732] learning_rate: 0.194537 loss_vfl: 1.404033 loss_bbox: 0.777000 loss_dfl: 0.534862 loss: 2.721355 eta: 2 days, 13:28:32 batch_cost: 1.2065 data_cost: 0.0081 ips: 33.1532 images/s
[07/26 19:36:43] ppdet.engine INFO: Epoch: [31] [420/732] learning_rate: 0.194527 loss_vfl: 1.342292 loss_bbox: 0.772793 loss_dfl: 0.521527 loss: 2.603725 eta: 2 days, 13:28:34 batch_cost: 1.2712 data_cost: 0.0032 ips: 31.4653 images/s
[07/26 19:37:09] ppdet.engine INFO: Epoch: [31] [440/732] learning_rate: 0.194517 loss_vfl: 1.409037 loss_bbox: 0.818089 loss_dfl: 0.555867 loss: 2.797602 eta: 2 days, 13:28:08 batch_cost: 1.1061 data_cost: 0.0039 ips: 36.1640 images/s
[07/26 19:37:38] ppdet.engine INFO: Epoch: [31] [460/732] learning_rate: 0.194507 loss_vfl: 1.367087 loss_bbox: 0.764278 loss_dfl: 0.525869 loss: 2.654114 eta: 2 days, 13:28:00 batch_cost: 1.2110 data_cost: 0.0075 ips: 33.0295 images/s
[07/26 19:38:06] ppdet.engine INFO: Epoch: [31] [480/732] learning_rate: 0.194497 loss_vfl: 1.393779 loss_bbox: 0.787276 loss_dfl: 0.535100 loss: 2.680083 eta: 2 days, 13:27:43 batch_cost: 1.1568 data_cost: 0.0089 ips: 34.5780 images/s
[07/26 19:38:32] ppdet.engine INFO: Epoch: [31] [500/732] learning_rate: 0.194487 loss_vfl: 1.317910 loss_bbox: 0.754173 loss_dfl: 0.514329 loss: 2.574215 eta: 2 days, 13:27:25 batch_cost: 1.1530 data_cost: 0.0050 ips: 34.6930 images/s
[07/26 19:38:59] ppdet.engine INFO: Epoch: [31] [520/732] learning_rate: 0.194477 loss_vfl: 1.409062 loss_bbox: 0.803846 loss_dfl: 0.551020 loss: 2.769698 eta: 2 days, 13:27:19 batch_cost: 1.2259 data_cost: 0.0003 ips: 32.6300 images/s
[07/26 19:39:25] ppdet.engine INFO: Epoch: [31] [540/732] learning_rate: 0.194466 loss_vfl: 1.428054 loss_bbox: 0.825700 loss_dfl: 0.559171 loss: 2.844611 eta: 2 days, 13:26:59 batch_cost: 1.1393 data_cost: 0.0069 ips: 35.1105 images/s
[07/26 19:39:51] ppdet.engine INFO: Epoch: [31] [560/732] learning_rate: 0.194456 loss_vfl: 1.387941 loss_bbox: 0.830874 loss_dfl: 0.548967 loss: 2.756039 eta: 2 days, 13:26:25 batch_cost: 1.0598 data_cost: 0.0051 ips: 37.7427 images/s
[07/26 19:40:17] ppdet.engine INFO: Epoch: [31] [580/732] learning_rate: 0.194446 loss_vfl: 1.362314 loss_bbox: 0.772217 loss_dfl: 0.531129 loss: 2.677310 eta: 2 days, 13:26:01 batch_cost: 1.1198 data_cost: 0.0159 ips: 35.7209 images/s
[07/26 19:40:43] ppdet.engine INFO: Epoch: [31] [600/732] learning_rate: 0.194436 loss_vfl: 1.313158 loss_bbox: 0.730602 loss_dfl: 0.504228 loss: 2.553611 eta: 2 days, 13:25:36 batch_cost: 1.1099 data_cost: 0.0065 ips: 36.0393 images/s
[07/26 19:41:09] ppdet.engine INFO: Epoch: [31] [620/732] learning_rate: 0.194426 loss_vfl: 1.379861 loss_bbox: 0.785062 loss_dfl: 0.538391 loss: 2.697423 eta: 2 days, 13:25:07 batch_cost: 1.0864 data_cost: 0.0077 ips: 36.8194 images/s
[07/26 19:41:35] ppdet.engine INFO: Epoch: [31] [640/732] learning_rate: 0.194416 loss_vfl: 1.406698 loss_bbox: 0.809607 loss_dfl: 0.555535 loss: 2.755740 eta: 2 days, 13:24:30 batch_cost: 1.0419 data_cost: 0.0056 ips: 38.3927 images/s
[07/26 19:42:03] ppdet.engine INFO: Epoch: [31] [660/732] learning_rate: 0.194406 loss_vfl: 1.404887 loss_bbox: 0.806862 loss_dfl: 0.549806 loss: 2.758064 eta: 2 days, 13:24:03 batch_cost: 1.0992 data_cost: 0.0158 ips: 36.3907 images/s
[07/26 19:42:29] ppdet.engine INFO: Epoch: [31] [680/732] learning_rate: 0.194396 loss_vfl: 1.356168 loss_bbox: 0.787173 loss_dfl: 0.537679 loss: 2.671523 eta: 2 days, 13:23:39 batch_cost: 1.1178 data_cost: 0.0116 ips: 35.7831 images/s
[07/26 19:42:57] ppdet.engine INFO: Epoch: [31] [700/732] learning_rate: 0.194386 loss_vfl: 1.457308 loss_bbox: 0.794245 loss_dfl: 0.551107 loss: 2.789813 eta: 2 days, 13:23:34 batch_cost: 1.2333 data_cost: 0.0055 ips: 32.4333 images/s
[07/26 19:43:23] ppdet.engine INFO: Epoch: [31] [720/732] learning_rate: 0.194376 loss_vfl: 1.378717 loss_bbox: 0.754824 loss_dfl: 0.516510 loss: 2.612849 eta: 2 days, 13:23:01 batch_cost: 1.0642 data_cost: 0.0100 ips: 37.5876 images/s
[07/26 19:43:48] ppdet.engine INFO: Epoch: [32] [  0/732] learning_rate: 0.194369 loss_vfl: 1.391492 loss_bbox: 0.812243 loss_dfl: 0.542594 loss: 2.717198 eta: 2 days, 13:24:03 batch_cost: 1.5159 data_cost: 0.6824 ips: 26.3873 images/s
[07/26 19:44:16] ppdet.engine INFO: Epoch: [32] [ 20/732] learning_rate: 0.194359 loss_vfl: 1.415506 loss_bbox: 0.814710 loss_dfl: 0.551778 loss: 2.784798 eta: 2 days, 13:23:45 batch_cost: 1.1545 data_cost: 0.0137 ips: 34.6456 images/s
[07/26 19:44:43] ppdet.engine INFO: Epoch: [32] [ 40/732] learning_rate: 0.194349 loss_vfl: 1.305693 loss_bbox: 0.744141 loss_dfl: 0.508563 loss: 2.556688 eta: 2 days, 13:23:23 batch_cost: 1.1317 data_cost: 0.0071 ips: 35.3458 images/s
[07/26 19:45:10] ppdet.engine INFO: Epoch: [32] [ 60/732] learning_rate: 0.194339 loss_vfl: 1.318132 loss_bbox: 0.740634 loss_dfl: 0.513477 loss: 2.551096 eta: 2 days, 13:23:03 batch_cost: 1.1406 data_cost: 0.0050 ips: 35.0691 images/s
[07/26 19:45:37] ppdet.engine INFO: Epoch: [32] [ 80/732] learning_rate: 0.194329 loss_vfl: 1.402899 loss_bbox: 0.796191 loss_dfl: 0.542145 loss: 2.726119 eta: 2 days, 13:22:41 batch_cost: 1.1319 data_cost: 0.0043 ips: 35.3386 images/s
[07/26 19:46:05] ppdet.engine INFO: Epoch: [32] [100/732] learning_rate: 0.194319 loss_vfl: 1.400923 loss_bbox: 0.789443 loss_dfl: 0.541450 loss: 2.718558 eta: 2 days, 13:22:26 batch_cost: 1.1727 data_cost: 0.0064 ips: 34.1097 images/s
[07/26 19:46:31] ppdet.engine INFO: Epoch: [32] [120/732] learning_rate: 0.194308 loss_vfl: 1.480841 loss_bbox: 0.829877 loss_dfl: 0.570941 loss: 2.866139 eta: 2 days, 13:22:06 batch_cost: 1.1394 data_cost: 0.0042 ips: 35.1047 images/s
[07/26 19:46:58] ppdet.engine INFO: Epoch: [32] [140/732] learning_rate: 0.194298 loss_vfl: 1.347124 loss_bbox: 0.786222 loss_dfl: 0.534274 loss: 2.650286 eta: 2 days, 13:21:37 batch_cost: 1.0916 data_cost: 0.0041 ips: 36.6445 images/s
[07/26 19:47:25] ppdet.engine INFO: Epoch: [32] [160/732] learning_rate: 0.194288 loss_vfl: 1.422915 loss_bbox: 0.799755 loss_dfl: 0.550252 loss: 2.794367 eta: 2 days, 13:21:18 batch_cost: 1.1446 data_cost: 0.0043 ips: 34.9457 images/s
[07/26 19:47:52] ppdet.engine INFO: Epoch: [32] [180/732] learning_rate: 0.194278 loss_vfl: 1.355990 loss_bbox: 0.771747 loss_dfl: 0.526537 loss: 2.646636 eta: 2 days, 13:20:53 batch_cost: 1.1141 data_cost: 0.0076 ips: 35.9049 images/s
[07/26 19:48:17] ppdet.engine INFO: Epoch: [32] [200/732] learning_rate: 0.194268 loss_vfl: 1.401594 loss_bbox: 0.804902 loss_dfl: 0.554041 loss: 2.772803 eta: 2 days, 13:20:22 batch_cost: 1.0724 data_cost: 0.0150 ips: 37.2997 images/s
[07/26 19:48:44] ppdet.engine INFO: Epoch: [32] [220/732] learning_rate: 0.194257 loss_vfl: 1.463346 loss_bbox: 0.792656 loss_dfl: 0.543355 loss: 2.805063 eta: 2 days, 13:19:54 batch_cost: 1.0942 data_cost: 0.0064 ips: 36.5574 images/s
[07/26 19:49:10] ppdet.engine INFO: Epoch: [32] [240/732] learning_rate: 0.194247 loss_vfl: 1.375093 loss_bbox: 0.777391 loss_dfl: 0.530772 loss: 2.680378 eta: 2 days, 13:19:29 batch_cost: 1.1133 data_cost: 0.0061 ips: 35.9293 images/s
[07/26 19:49:37] ppdet.engine INFO: Epoch: [32] [260/732] learning_rate: 0.194237 loss_vfl: 1.381386 loss_bbox: 0.799127 loss_dfl: 0.535498 loss: 2.720294 eta: 2 days, 13:19:07 batch_cost: 1.1285 data_cost: 0.0048 ips: 35.4444 images/s
[07/26 19:50:01] ppdet.engine INFO: Epoch: [32] [280/732] learning_rate: 0.194226 loss_vfl: 1.449961 loss_bbox: 0.806473 loss_dfl: 0.551499 loss: 2.839088 eta: 2 days, 13:18:30 batch_cost: 1.0395 data_cost: 0.0085 ips: 38.4809 images/s
[07/26 19:50:30] ppdet.engine INFO: Epoch: [32] [300/732] learning_rate: 0.194216 loss_vfl: 1.388533 loss_bbox: 0.778228 loss_dfl: 0.532765 loss: 2.697169 eta: 2 days, 13:18:19 batch_cost: 1.2009 data_cost: 0.0028 ips: 33.3097 images/s
[07/26 19:50:54] ppdet.engine INFO: Epoch: [32] [320/732] learning_rate: 0.194206 loss_vfl: 1.359784 loss_bbox: 0.818927 loss_dfl: 0.541048 loss: 2.731890 eta: 2 days, 13:17:43 batch_cost: 1.0438 data_cost: 0.0105 ips: 38.3214 images/s
[07/26 19:51:21] ppdet.engine INFO: Epoch: [32] [340/732] learning_rate: 0.194196 loss_vfl: 1.368130 loss_bbox: 0.803304 loss_dfl: 0.542647 loss: 2.700355 eta: 2 days, 13:17:25 batch_cost: 1.1555 data_cost: 0.0053 ips: 34.6168 images/s
[07/26 19:51:48] ppdet.engine INFO: Epoch: [32] [360/732] learning_rate: 0.194185 loss_vfl: 1.327001 loss_bbox: 0.771522 loss_dfl: 0.518813 loss: 2.606473 eta: 2 days, 13:17:17 batch_cost: 1.2134 data_cost: 0.0032 ips: 32.9655 images/s
[07/26 19:52:15] ppdet.engine INFO: Epoch: [32] [380/732] learning_rate: 0.194175 loss_vfl: 1.336058 loss_bbox: 0.784669 loss_dfl: 0.524379 loss: 2.639980 eta: 2 days, 13:16:51 batch_cost: 1.1039 data_cost: 0.0072 ips: 36.2348 images/s
[07/26 19:52:40] ppdet.engine INFO: Epoch: [32] [400/732] learning_rate: 0.194165 loss_vfl: 1.424516 loss_bbox: 0.822710 loss_dfl: 0.552152 loss: 2.786824 eta: 2 days, 13:16:13 batch_cost: 1.0341 data_cost: 0.0069 ips: 38.6794 images/s
[07/26 19:53:08] ppdet.engine INFO: Epoch: [32] [420/732] learning_rate: 0.194154 loss_vfl: 1.367075 loss_bbox: 0.789200 loss_dfl: 0.524016 loss: 2.655690 eta: 2 days, 13:16:06 batch_cost: 1.2190 data_cost: 0.0087 ips: 32.8133 images/s
[07/26 19:53:35] ppdet.engine INFO: Epoch: [32] [440/732] learning_rate: 0.194144 loss_vfl: 1.443507 loss_bbox: 0.782594 loss_dfl: 0.552130 loss: 2.793081 eta: 2 days, 13:15:40 batch_cost: 1.1044 data_cost: 0.0035 ips: 36.2173 images/s
[07/26 19:54:02] ppdet.engine INFO: Epoch: [32] [460/732] learning_rate: 0.194134 loss_vfl: 1.429842 loss_bbox: 0.808069 loss_dfl: 0.553083 loss: 2.796724 eta: 2 days, 13:15:06 batch_cost: 1.0577 data_cost: 0.0140 ips: 37.8186 images/s
[07/26 19:54:28] ppdet.engine INFO: Epoch: [32] [480/732] learning_rate: 0.194123 loss_vfl: 1.423519 loss_bbox: 0.814618 loss_dfl: 0.548253 loss: 2.763297 eta: 2 days, 13:14:31 batch_cost: 1.0505 data_cost: 0.0085 ips: 38.0777 images/s
[07/26 19:54:54] ppdet.engine INFO: Epoch: [32] [500/732] learning_rate: 0.194113 loss_vfl: 1.307389 loss_bbox: 0.754475 loss_dfl: 0.515336 loss: 2.584164 eta: 2 days, 13:14:06 batch_cost: 1.1108 data_cost: 0.0087 ips: 36.0094 images/s
[07/26 19:55:21] ppdet.engine INFO: Epoch: [32] [520/732] learning_rate: 0.194103 loss_vfl: 1.433300 loss_bbox: 0.798529 loss_dfl: 0.550382 loss: 2.792275 eta: 2 days, 13:13:49 batch_cost: 1.1600 data_cost: 0.0091 ips: 34.4819 images/s
[07/26 19:55:47] ppdet.engine INFO: Epoch: [32] [540/732] learning_rate: 0.194092 loss_vfl: 1.357211 loss_bbox: 0.784866 loss_dfl: 0.536325 loss: 2.708020 eta: 2 days, 13:13:21 batch_cost: 1.0932 data_cost: 0.0064 ips: 36.5891 images/s
[07/26 19:56:13] ppdet.engine INFO: Epoch: [32] [560/732] learning_rate: 0.194082 loss_vfl: 1.443622 loss_bbox: 0.800292 loss_dfl: 0.552351 loss: 2.823844 eta: 2 days, 13:12:53 batch_cost: 1.0945 data_cost: 0.0039 ips: 36.5462 images/s
[07/26 19:56:40] ppdet.engine INFO: Epoch: [32] [580/732] learning_rate: 0.194071 loss_vfl: 1.418759 loss_bbox: 0.820117 loss_dfl: 0.553967 loss: 2.805532 eta: 2 days, 13:12:18 batch_cost: 1.0539 data_cost: 0.0107 ips: 37.9528 images/s
[07/26 19:57:07] ppdet.engine INFO: Epoch: [32] [600/732] learning_rate: 0.194061 loss_vfl: 1.361509 loss_bbox: 0.777457 loss_dfl: 0.543719 loss: 2.680904 eta: 2 days, 13:12:04 batch_cost: 1.1776 data_cost: 0.0053 ips: 33.9670 images/s
[07/26 19:57:34] ppdet.engine INFO: Epoch: [32] [620/732] learning_rate: 0.194051 loss_vfl: 1.417189 loss_bbox: 0.818734 loss_dfl: 0.552445 loss: 2.817219 eta: 2 days, 13:11:50 batch_cost: 1.1798 data_cost: 0.0063 ips: 33.9051 images/s
[07/26 19:58:01] ppdet.engine INFO: Epoch: [32] [640/732] learning_rate: 0.194040 loss_vfl: 1.364594 loss_bbox: 0.751305 loss_dfl: 0.520081 loss: 2.649269 eta: 2 days, 13:11:36 batch_cost: 1.1749 data_cost: 0.0063 ips: 34.0445 images/s
[07/26 19:58:29] ppdet.engine INFO: Epoch: [32] [660/732] learning_rate: 0.194030 loss_vfl: 1.417566 loss_bbox: 0.776484 loss_dfl: 0.541733 loss: 2.749701 eta: 2 days, 13:11:29 batch_cost: 1.2239 data_cost: 0.0056 ips: 32.6827 images/s
[07/26 19:58:53] ppdet.engine INFO: Epoch: [32] [680/732] learning_rate: 0.194019 loss_vfl: 1.368128 loss_bbox: 0.771707 loss_dfl: 0.527422 loss: 2.660341 eta: 2 days, 13:10:47 batch_cost: 1.0059 data_cost: 0.0023 ips: 39.7634 images/s
[07/26 19:59:21] ppdet.engine INFO: Epoch: [32] [700/732] learning_rate: 0.194009 loss_vfl: 1.352669 loss_bbox: 0.767282 loss_dfl: 0.523550 loss: 2.638924 eta: 2 days, 13:10:24 batch_cost: 1.1234 data_cost: 0.0057 ips: 35.6047 images/s
[07/26 19:59:48] ppdet.engine INFO: Epoch: [32] [720/732] learning_rate: 0.193998 loss_vfl: 1.396411 loss_bbox: 0.802628 loss_dfl: 0.548109 loss: 2.722399 eta: 2 days, 13:10:01 batch_cost: 1.1263 data_cost: 0.0044 ips: 35.5133 images/s
[07/26 20:00:10] ppdet.engine INFO: Epoch: [33] [  0/732] learning_rate: 0.193992 loss_vfl: 1.395104 loss_bbox: 0.785184 loss_dfl: 0.540019 loss: 2.720220 eta: 2 days, 13:10:36 batch_cost: 1.4669 data_cost: 0.4326 ips: 27.2676 images/s
[07/26 20:00:39] ppdet.engine INFO: Epoch: [33] [ 20/732] learning_rate: 0.193982 loss_vfl: 1.414774 loss_bbox: 0.802894 loss_dfl: 0.545570 loss: 2.750239 eta: 2 days, 13:10:27 batch_cost: 1.2076 data_cost: 0.0124 ips: 33.1228 images/s
[07/26 20:01:06] ppdet.engine INFO: Epoch: [33] [ 40/732] learning_rate: 0.193971 loss_vfl: 1.388838 loss_bbox: 0.814865 loss_dfl: 0.547367 loss: 2.754862 eta: 2 days, 13:09:57 batch_cost: 1.0841 data_cost: 0.0078 ips: 36.8961 images/s
[07/26 20:01:32] ppdet.engine INFO: Epoch: [33] [ 60/732] learning_rate: 0.193961 loss_vfl: 1.371828 loss_bbox: 0.810992 loss_dfl: 0.552258 loss: 2.745249 eta: 2 days, 13:09:35 batch_cost: 1.1289 data_cost: 0.0044 ips: 35.4317 images/s
[07/26 20:02:01] ppdet.engine INFO: Epoch: [33] [ 80/732] learning_rate: 0.193950 loss_vfl: 1.404228 loss_bbox: 0.764711 loss_dfl: 0.523035 loss: 2.682505 eta: 2 days, 13:09:29 batch_cost: 1.2268 data_cost: 0.0049 ips: 32.6054 images/s
[07/26 20:02:27] ppdet.engine INFO: Epoch: [33] [100/732] learning_rate: 0.193940 loss_vfl: 1.429051 loss_bbox: 0.813586 loss_dfl: 0.550816 loss: 2.802161 eta: 2 days, 13:09:11 batch_cost: 1.1554 data_cost: 0.0025 ips: 34.6215 images/s
[07/26 20:02:52] ppdet.engine INFO: Epoch: [33] [120/732] learning_rate: 0.193929 loss_vfl: 1.422247 loss_bbox: 0.798989 loss_dfl: 0.546608 loss: 2.757611 eta: 2 days, 13:08:42 batch_cost: 1.0915 data_cost: 0.0070 ips: 36.6465 images/s
[07/26 20:03:21] ppdet.engine INFO: Epoch: [33] [140/732] learning_rate: 0.193919 loss_vfl: 1.336897 loss_bbox: 0.773471 loss_dfl: 0.526160 loss: 2.640555 eta: 2 days, 13:08:30 batch_cost: 1.1904 data_cost: 0.0043 ips: 33.6022 images/s
[07/26 20:03:48] ppdet.engine INFO: Epoch: [33] [160/732] learning_rate: 0.193908 loss_vfl: 1.380634 loss_bbox: 0.799461 loss_dfl: 0.541757 loss: 2.696508 eta: 2 days, 13:08:07 batch_cost: 1.1247 data_cost: 0.0025 ips: 35.5654 images/s
[07/26 20:04:14] ppdet.engine INFO: Epoch: [33] [180/732] learning_rate: 0.193897 loss_vfl: 1.364930 loss_bbox: 0.780785 loss_dfl: 0.527154 loss: 2.670778 eta: 2 days, 13:07:29 batch_cost: 1.0289 data_cost: 0.0019 ips: 38.8758 images/s
[07/26 20:04:41] ppdet.engine INFO: Epoch: [33] [200/732] learning_rate: 0.193887 loss_vfl: 1.318843 loss_bbox: 0.750121 loss_dfl: 0.503176 loss: 2.549793 eta: 2 days, 13:07:20 batch_cost: 1.2141 data_cost: 0.0059 ips: 32.9464 images/s
[07/26 20:05:10] ppdet.engine INFO: Epoch: [33] [220/732] learning_rate: 0.193876 loss_vfl: 1.373183 loss_bbox: 0.771747 loss_dfl: 0.528639 loss: 2.665934 eta: 2 days, 13:07:20 batch_cost: 1.2656 data_cost: 0.0007 ips: 31.6059 images/s
[07/26 20:05:37] ppdet.engine INFO: Epoch: [33] [240/732] learning_rate: 0.193866 loss_vfl: 1.363260 loss_bbox: 0.776845 loss_dfl: 0.537926 loss: 2.703885 eta: 2 days, 13:07:03 batch_cost: 1.1642 data_cost: 0.0102 ips: 34.3573 images/s
[07/26 20:06:03] ppdet.engine INFO: Epoch: [33] [260/732] learning_rate: 0.193855 loss_vfl: 1.397083 loss_bbox: 0.794794 loss_dfl: 0.547145 loss: 2.749938 eta: 2 days, 13:06:36 batch_cost: 1.0945 data_cost: 0.0034 ips: 36.5477 images/s
[07/26 20:06:29] ppdet.engine INFO: Epoch: [33] [280/732] learning_rate: 0.193845 loss_vfl: 1.360739 loss_bbox: 0.748325 loss_dfl: 0.515840 loss: 2.614606 eta: 2 days, 13:06:15 batch_cost: 1.1398 data_cost: 0.0089 ips: 35.0950 images/s
[07/26 20:06:57] ppdet.engine INFO: Epoch: [33] [300/732] learning_rate: 0.193834 loss_vfl: 1.362578 loss_bbox: 0.755503 loss_dfl: 0.520684 loss: 2.631676 eta: 2 days, 13:06:16 batch_cost: 1.2720 data_cost: 0.0036 ips: 31.4458 images/s
[07/26 20:07:24] ppdet.engine INFO: Epoch: [33] [320/732] learning_rate: 0.193823 loss_vfl: 1.406218 loss_bbox: 0.775306 loss_dfl: 0.532940 loss: 2.737693 eta: 2 days, 13:05:44 batch_cost: 1.0682 data_cost: 0.0059 ips: 37.4464 images/s
[07/26 20:07:49] ppdet.engine INFO: Epoch: [33] [340/732] learning_rate: 0.193813 loss_vfl: 1.380487 loss_bbox: 0.739333 loss_dfl: 0.519575 loss: 2.645261 eta: 2 days, 13:05:11 batch_cost: 1.0657 data_cost: 0.0073 ips: 37.5357 images/s
[07/26 20:08:16] ppdet.engine INFO: Epoch: [33] [360/732] learning_rate: 0.193802 loss_vfl: 1.410646 loss_bbox: 0.812187 loss_dfl: 0.558936 loss: 2.809981 eta: 2 days, 13:04:57 batch_cost: 1.1806 data_cost: 0.0036 ips: 33.8803 images/s
[07/26 20:08:44] ppdet.engine INFO: Epoch: [33] [380/732] learning_rate: 0.193791 loss_vfl: 1.423268 loss_bbox: 0.798606 loss_dfl: 0.545810 loss: 2.746785 eta: 2 days, 13:04:48 batch_cost: 1.2071 data_cost: 0.0027 ips: 33.1369 images/s
[07/26 20:09:12] ppdet.engine INFO: Epoch: [33] [400/732] learning_rate: 0.193781 loss_vfl: 1.414826 loss_bbox: 0.826784 loss_dfl: 0.565319 loss: 2.813586 eta: 2 days, 13:04:44 batch_cost: 1.2450 data_cost: 0.0067 ips: 32.1290 images/s
[07/26 20:09:40] ppdet.engine INFO: Epoch: [33] [420/732] learning_rate: 0.193770 loss_vfl: 1.348054 loss_bbox: 0.796180 loss_dfl: 0.536408 loss: 2.664095 eta: 2 days, 13:04:31 batch_cost: 1.1878 data_cost: 0.0074 ips: 33.6764 images/s
[07/26 20:10:06] ppdet.engine INFO: Epoch: [33] [440/732] learning_rate: 0.193759 loss_vfl: 1.405759 loss_bbox: 0.788202 loss_dfl: 0.530695 loss: 2.700942 eta: 2 days, 13:04:06 batch_cost: 1.1113 data_cost: 0.0054 ips: 35.9937 images/s
[07/26 20:10:35] ppdet.engine INFO: Epoch: [33] [460/732] learning_rate: 0.193749 loss_vfl: 1.400394 loss_bbox: 0.814570 loss_dfl: 0.547204 loss: 2.765875 eta: 2 days, 13:04:15 batch_cost: 1.3308 data_cost: 0.0010 ips: 30.0573 images/s
[07/26 20:11:01] ppdet.engine INFO: Epoch: [33] [480/732] learning_rate: 0.193738 loss_vfl: 1.379747 loss_bbox: 0.797800 loss_dfl: 0.543630 loss: 2.720359 eta: 2 days, 13:03:53 batch_cost: 1.1280 data_cost: 0.0061 ips: 35.4620 images/s
[07/26 20:11:27] ppdet.engine INFO: Epoch: [33] [500/732] learning_rate: 0.193727 loss_vfl: 1.411906 loss_bbox: 0.811018 loss_dfl: 0.546730 loss: 2.776540 eta: 2 days, 13:03:31 batch_cost: 1.1344 data_cost: 0.0084 ips: 35.2601 images/s
[07/26 20:11:53] ppdet.engine INFO: Epoch: [33] [520/732] learning_rate: 0.193717 loss_vfl: 1.377878 loss_bbox: 0.784868 loss_dfl: 0.533166 loss: 2.699961 eta: 2 days, 13:03:05 batch_cost: 1.1042 data_cost: 0.0040 ips: 36.2267 images/s
[07/26 20:12:20] ppdet.engine INFO: Epoch: [33] [540/732] learning_rate: 0.193706 loss_vfl: 1.450731 loss_bbox: 0.803156 loss_dfl: 0.557175 loss: 2.813498 eta: 2 days, 13:02:44 batch_cost: 1.1389 data_cost: 0.0044 ips: 35.1204 images/s
[07/26 20:12:46] ppdet.engine INFO: Epoch: [33] [560/732] learning_rate: 0.193695 loss_vfl: 1.422900 loss_bbox: 0.817540 loss_dfl: 0.554740 loss: 2.785883 eta: 2 days, 13:02:21 batch_cost: 1.1248 data_cost: 0.0053 ips: 35.5608 images/s
[07/26 20:13:14] ppdet.engine INFO: Epoch: [33] [580/732] learning_rate: 0.193685 loss_vfl: 1.380315 loss_bbox: 0.769359 loss_dfl: 0.526549 loss: 2.684317 eta: 2 days, 13:02:07 batch_cost: 1.1773 data_cost: 0.0059 ips: 33.9749 images/s
[07/26 20:13:40] ppdet.engine INFO: Epoch: [33] [600/732] learning_rate: 0.193674 loss_vfl: 1.372806 loss_bbox: 0.789777 loss_dfl: 0.537913 loss: 2.686520 eta: 2 days, 13:01:43 batch_cost: 1.1214 data_cost: 0.0050 ips: 35.6684 images/s
[07/26 20:14:06] ppdet.engine INFO: Epoch: [33] [620/732] learning_rate: 0.193663 loss_vfl: 1.376078 loss_bbox: 0.778174 loss_dfl: 0.542918 loss: 2.730829 eta: 2 days, 13:01:24 batch_cost: 1.1484 data_cost: 0.0053 ips: 34.8299 images/s
[07/26 20:14:34] ppdet.engine INFO: Epoch: [33] [640/732] learning_rate: 0.193652 loss_vfl: 1.379566 loss_bbox: 0.790437 loss_dfl: 0.546450 loss: 2.747317 eta: 2 days, 13:01:13 batch_cost: 1.2027 data_cost: 0.0045 ips: 33.2573 images/s
[07/26 20:15:02] ppdet.engine INFO: Epoch: [33] [660/732] learning_rate: 0.193642 loss_vfl: 1.380853 loss_bbox: 0.803417 loss_dfl: 0.540954 loss: 2.739542 eta: 2 days, 13:01:02 batch_cost: 1.2024 data_cost: 0.0089 ips: 33.2654 images/s
[07/26 20:15:28] ppdet.engine INFO: Epoch: [33] [680/732] learning_rate: 0.193631 loss_vfl: 1.420490 loss_bbox: 0.807576 loss_dfl: 0.553596 loss: 2.763140 eta: 2 days, 13:00:36 batch_cost: 1.1039 data_cost: 0.0067 ips: 36.2359 images/s
[07/26 20:15:55] ppdet.engine INFO: Epoch: [33] [700/732] learning_rate: 0.193620 loss_vfl: 1.377993 loss_bbox: 0.787287 loss_dfl: 0.526164 loss: 2.706408 eta: 2 days, 13:00:13 batch_cost: 1.1249 data_cost: 0.0095 ips: 35.5587 images/s
[07/26 20:16:20] ppdet.engine INFO: Epoch: [33] [720/732] learning_rate: 0.193609 loss_vfl: 1.433647 loss_bbox: 0.785343 loss_dfl: 0.540222 loss: 2.763929 eta: 2 days, 12:59:44 batch_cost: 1.0878 data_cost: 0.0014 ips: 36.7702 images/s
[07/26 20:16:43] ppdet.engine INFO: Epoch: [34] [  0/732] learning_rate: 0.193603 loss_vfl: 1.433647 loss_bbox: 0.798005 loss_dfl: 0.558372 loss: 2.831337 eta: 2 days, 13:00:17 batch_cost: 1.3600 data_cost: 0.3464 ips: 29.4123 images/s
[07/26 20:17:14] ppdet.engine INFO: Epoch: [34] [ 20/732] learning_rate: 0.193592 loss_vfl: 1.409431 loss_bbox: 0.804440 loss_dfl: 0.554223 loss: 2.788520 eta: 2 days, 13:00:22 batch_cost: 1.3068 data_cost: 0.0079 ips: 30.6099 images/s
[07/26 20:17:42] ppdet.engine INFO: Epoch: [34] [ 40/732] learning_rate: 0.193581 loss_vfl: 1.344177 loss_bbox: 0.768219 loss_dfl: 0.523434 loss: 2.660150 eta: 2 days, 13:00:24 batch_cost: 1.2855 data_cost: 0.0057 ips: 31.1166 images/s
[07/26 20:18:09] ppdet.engine INFO: Epoch: [34] [ 60/732] learning_rate: 0.193570 loss_vfl: 1.427788 loss_bbox: 0.814443 loss_dfl: 0.551684 loss: 2.783072 eta: 2 days, 13:00:08 batch_cost: 1.1662 data_cost: 0.0097 ips: 34.2985 images/s
[07/26 20:18:36] ppdet.engine INFO: Epoch: [34] [ 80/732] learning_rate: 0.193560 loss_vfl: 1.397175 loss_bbox: 0.790898 loss_dfl: 0.540791 loss: 2.689865 eta: 2 days, 12:59:44 batch_cost: 1.1205 data_cost: 0.0043 ips: 35.6994 images/s
[07/26 20:19:02] ppdet.engine INFO: Epoch: [34] [100/732] learning_rate: 0.193549 loss_vfl: 1.373490 loss_bbox: 0.778451 loss_dfl: 0.528302 loss: 2.695588 eta: 2 days, 12:59:19 batch_cost: 1.1134 data_cost: 0.0029 ips: 35.9274 images/s
[07/26 20:19:29] ppdet.engine INFO: Epoch: [34] [120/732] learning_rate: 0.193538 loss_vfl: 1.450095 loss_bbox: 0.818558 loss_dfl: 0.560914 loss: 2.803547 eta: 2 days, 12:58:49 batch_cost: 1.0810 data_cost: 0.0090 ips: 37.0013 images/s
[07/26 20:19:56] ppdet.engine INFO: Epoch: [34] [140/732] learning_rate: 0.193527 loss_vfl: 1.369124 loss_bbox: 0.793413 loss_dfl: 0.522742 loss: 2.662457 eta: 2 days, 12:58:27 batch_cost: 1.1294 data_cost: 0.0054 ips: 35.4165 images/s
[07/26 20:20:23] ppdet.engine INFO: Epoch: [34] [160/732] learning_rate: 0.193516 loss_vfl: 1.401502 loss_bbox: 0.844206 loss_dfl: 0.573382 loss: 2.825181 eta: 2 days, 12:58:01 batch_cost: 1.1069 data_cost: 0.0041 ips: 36.1379 images/s
[07/26 20:20:49] ppdet.engine INFO: Epoch: [34] [180/732] learning_rate: 0.193505 loss_vfl: 1.340292 loss_bbox: 0.768126 loss_dfl: 0.527300 loss: 2.619850 eta: 2 days, 12:57:32 batch_cost: 1.0831 data_cost: 0.0025 ips: 36.9301 images/s
[07/26 20:21:16] ppdet.engine INFO: Epoch: [34] [200/732] learning_rate: 0.193494 loss_vfl: 1.440310 loss_bbox: 0.796155 loss_dfl: 0.548258 loss: 2.798827 eta: 2 days, 12:57:13 batch_cost: 1.1563 data_cost: 0.0044 ips: 34.5921 images/s
[07/26 20:21:41] ppdet.engine INFO: Epoch: [34] [220/732] learning_rate: 0.193484 loss_vfl: 1.415867 loss_bbox: 0.804925 loss_dfl: 0.551502 loss: 2.796162 eta: 2 days, 12:56:43 batch_cost: 1.0766 data_cost: 0.0055 ips: 37.1554 images/s
[07/26 20:22:08] ppdet.engine INFO: Epoch: [34] [240/732] learning_rate: 0.193473 loss_vfl: 1.364045 loss_bbox: 0.765756 loss_dfl: 0.518695 loss: 2.636080 eta: 2 days, 12:56:21 batch_cost: 1.1334 data_cost: 0.0047 ips: 35.2917 images/s
[07/26 20:22:34] ppdet.engine INFO: Epoch: [34] [260/732] learning_rate: 0.193462 loss_vfl: 1.307007 loss_bbox: 0.768112 loss_dfl: 0.518044 loss: 2.581071 eta: 2 days, 12:56:01 batch_cost: 1.1462 data_cost: 0.0027 ips: 34.8989 images/s
[07/26 20:23:01] ppdet.engine INFO: Epoch: [34] [280/732] learning_rate: 0.193451 loss_vfl: 1.421397 loss_bbox: 0.797865 loss_dfl: 0.542048 loss: 2.742162 eta: 2 days, 12:55:39 batch_cost: 1.1294 data_cost: 0.0031 ips: 35.4182 images/s
[07/26 20:23:29] ppdet.engine INFO: Epoch: [34] [300/732] learning_rate: 0.193440 loss_vfl: 1.395200 loss_bbox: 0.780857 loss_dfl: 0.535707 loss: 2.724119 eta: 2 days, 12:55:21 batch_cost: 1.1591 data_cost: 0.0064 ips: 34.5108 images/s
[07/26 20:23:55] ppdet.engine INFO: Epoch: [34] [320/732] learning_rate: 0.193429 loss_vfl: 1.367776 loss_bbox: 0.776792 loss_dfl: 0.524770 loss: 2.693851 eta: 2 days, 12:54:57 batch_cost: 1.1182 data_cost: 0.0077 ips: 35.7723 images/s
[07/26 20:24:22] ppdet.engine INFO: Epoch: [34] [340/732] learning_rate: 0.193418 loss_vfl: 1.373952 loss_bbox: 0.775846 loss_dfl: 0.538456 loss: 2.710687 eta: 2 days, 12:54:44 batch_cost: 1.1870 data_cost: 0.0027 ips: 33.6993 images/s
[07/26 20:24:49] ppdet.engine INFO: Epoch: [34] [360/732] learning_rate: 0.193407 loss_vfl: 1.374550 loss_bbox: 0.792599 loss_dfl: 0.542561 loss: 2.718610 eta: 2 days, 12:54:13 batch_cost: 1.0746 data_cost: 0.0072 ips: 37.2242 images/s
[07/26 20:25:15] ppdet.engine INFO: Epoch: [34] [380/732] learning_rate: 0.193396 loss_vfl: 1.370372 loss_bbox: 0.778340 loss_dfl: 0.534595 loss: 2.643588 eta: 2 days, 12:53:53 batch_cost: 1.1440 data_cost: 0.0046 ips: 34.9644 images/s
[07/26 20:25:40] ppdet.engine INFO: Epoch: [34] [400/732] learning_rate: 0.193385 loss_vfl: 1.339258 loss_bbox: 0.750536 loss_dfl: 0.526332 loss: 2.655071 eta: 2 days, 12:53:12 batch_cost: 1.0079 data_cost: 0.0119 ips: 39.6872 images/s
[07/26 20:26:08] ppdet.engine INFO: Epoch: [34] [420/732] learning_rate: 0.193374 loss_vfl: 1.367068 loss_bbox: 0.782350 loss_dfl: 0.535120 loss: 2.702737 eta: 2 days, 12:52:57 batch_cost: 1.1831 data_cost: 0.0048 ips: 33.8088 images/s
[07/26 20:26:33] ppdet.engine INFO: Epoch: [34] [440/732] learning_rate: 0.193363 loss_vfl: 1.387317 loss_bbox: 0.779808 loss_dfl: 0.529500 loss: 2.680823 eta: 2 days, 12:52:27 batch_cost: 1.0786 data_cost: 0.0047 ips: 37.0843 images/s
[07/26 20:27:01] ppdet.engine INFO: Epoch: [34] [460/732] learning_rate: 0.193352 loss_vfl: 1.399928 loss_bbox: 0.805196 loss_dfl: 0.549578 loss: 2.756764 eta: 2 days, 12:52:11 batch_cost: 1.1690 data_cost: 0.0061 ips: 34.2178 images/s
[07/26 20:27:28] ppdet.engine INFO: Epoch: [34] [480/732] learning_rate: 0.193341 loss_vfl: 1.368143 loss_bbox: 0.795768 loss_dfl: 0.536192 loss: 2.708760 eta: 2 days, 12:51:49 batch_cost: 1.1345 data_cost: 0.0047 ips: 35.2577 images/s
[07/26 20:27:56] ppdet.engine INFO: Epoch: [34] [500/732] learning_rate: 0.193330 loss_vfl: 1.419792 loss_bbox: 0.787747 loss_dfl: 0.545454 loss: 2.750737 eta: 2 days, 12:51:31 batch_cost: 1.1578 data_cost: 0.0045 ips: 34.5492 images/s
[07/26 20:28:24] ppdet.engine INFO: Epoch: [34] [520/732] learning_rate: 0.193319 loss_vfl: 1.350355 loss_bbox: 0.795475 loss_dfl: 0.534712 loss: 2.701205 eta: 2 days, 12:50:59 batch_cost: 1.0602 data_cost: 0.0083 ips: 37.7284 images/s
[07/26 20:28:50] ppdet.engine INFO: Epoch: [34] [540/732] learning_rate: 0.193308 loss_vfl: 1.372771 loss_bbox: 0.812460 loss_dfl: 0.543223 loss: 2.714441 eta: 2 days, 12:50:29 batch_cost: 1.0851 data_cost: 0.0039 ips: 36.8614 images/s
[07/26 20:29:18] ppdet.engine INFO: Epoch: [34] [560/732] learning_rate: 0.193297 loss_vfl: 1.416805 loss_bbox: 0.812626 loss_dfl: 0.551230 loss: 2.752378 eta: 2 days, 12:50:11 batch_cost: 1.1585 data_cost: 0.0100 ips: 34.5276 images/s
[07/26 20:29:45] ppdet.engine INFO: Epoch: [34] [580/732] learning_rate: 0.193286 loss_vfl: 1.387824 loss_bbox: 0.783016 loss_dfl: 0.533526 loss: 2.719664 eta: 2 days, 12:49:46 batch_cost: 1.1083 data_cost: 0.0169 ips: 36.0918 images/s
[07/26 20:30:12] ppdet.engine INFO: Epoch: [34] [600/732] learning_rate: 0.193275 loss_vfl: 1.361593 loss_bbox: 0.810691 loss_dfl: 0.548054 loss: 2.737435 eta: 2 days, 12:49:09 batch_cost: 1.0350 data_cost: 0.0044 ips: 38.6487 images/s
[07/26 20:30:39] ppdet.engine INFO: Epoch: [34] [620/732] learning_rate: 0.193264 loss_vfl: 1.419352 loss_bbox: 0.820782 loss_dfl: 0.545675 loss: 2.790749 eta: 2 days, 12:48:41 batch_cost: 1.0914 data_cost: 0.0062 ips: 36.6511 images/s
[07/26 20:31:04] ppdet.engine INFO: Epoch: [34] [640/732] learning_rate: 0.193253 loss_vfl: 1.380849 loss_bbox: 0.792230 loss_dfl: 0.537521 loss: 2.701204 eta: 2 days, 12:47:57 batch_cost: 0.9898 data_cost: 0.0060 ips: 40.4121 images/s
[07/26 20:31:31] ppdet.engine INFO: Epoch: [34] [660/732] learning_rate: 0.193242 loss_vfl: 1.386364 loss_bbox: 0.775876 loss_dfl: 0.527974 loss: 2.694393 eta: 2 days, 12:47:27 batch_cost: 1.0784 data_cost: 0.0055 ips: 37.0906 images/s
[07/26 20:31:58] ppdet.engine INFO: Epoch: [34] [680/732] learning_rate: 0.193231 loss_vfl: 1.342787 loss_bbox: 0.773056 loss_dfl: 0.527903 loss: 2.647017 eta: 2 days, 12:47:02 batch_cost: 1.1065 data_cost: 0.0093 ips: 36.1495 images/s
[07/26 20:32:25] ppdet.engine INFO: Epoch: [34] [700/732] learning_rate: 0.193220 loss_vfl: 1.394211 loss_bbox: 0.800640 loss_dfl: 0.542089 loss: 2.745047 eta: 2 days, 12:46:43 batch_cost: 1.1551 data_cost: 0.0063 ips: 34.6296 images/s
[07/26 20:32:51] ppdet.engine INFO: Epoch: [34] [720/732] learning_rate: 0.193208 loss_vfl: 1.420816 loss_bbox: 0.824568 loss_dfl: 0.551088 loss: 2.806461 eta: 2 days, 12:46:07 batch_cost: 1.0360 data_cost: 0.0068 ips: 38.6088 images/s
[07/26 20:33:12] ppdet.engine INFO: Epoch: [35] [  0/732] learning_rate: 0.193202 loss_vfl: 1.438494 loss_bbox: 0.833232 loss_dfl: 0.558062 loss: 2.824107 eta: 2 days, 12:46:35 batch_cost: 1.3732 data_cost: 0.4561 ips: 29.1293 images/s
[07/26 20:33:40] ppdet.engine INFO: Epoch: [35] [ 20/732] learning_rate: 0.193191 loss_vfl: 1.331604 loss_bbox: 0.778151 loss_dfl: 0.521843 loss: 2.625691 eta: 2 days, 12:46:19 batch_cost: 1.1726 data_cost: 0.0032 ips: 34.1131 images/s
[07/26 20:34:07] ppdet.engine INFO: Epoch: [35] [ 40/732] learning_rate: 0.193180 loss_vfl: 1.370411 loss_bbox: 0.809225 loss_dfl: 0.548510 loss: 2.730677 eta: 2 days, 12:45:52 batch_cost: 1.1012 data_cost: 0.0058 ips: 36.3253 images/s
[07/26 20:34:35] ppdet.engine INFO: Epoch: [35] [ 60/732] learning_rate: 0.193168 loss_vfl: 1.362919 loss_bbox: 0.763645 loss_dfl: 0.528013 loss: 2.640819 eta: 2 days, 12:45:31 batch_cost: 1.1350 data_cost: 0.0063 ips: 35.2427 images/s
[07/26 20:35:02] ppdet.engine INFO: Epoch: [35] [ 80/732] learning_rate: 0.193157 loss_vfl: 1.350762 loss_bbox: 0.786037 loss_dfl: 0.534260 loss: 2.641500 eta: 2 days, 12:45:08 batch_cost: 1.1285 data_cost: 0.0057 ips: 35.4452 images/s
[07/26 20:35:28] ppdet.engine INFO: Epoch: [35] [100/732] learning_rate: 0.193146 loss_vfl: 1.401007 loss_bbox: 0.802907 loss_dfl: 0.547673 loss: 2.733855 eta: 2 days, 12:44:34 batch_cost: 1.0529 data_cost: 0.0058 ips: 37.9908 images/s
[07/26 20:35:55] ppdet.engine INFO: Epoch: [35] [120/732] learning_rate: 0.193135 loss_vfl: 1.395770 loss_bbox: 0.793396 loss_dfl: 0.545821 loss: 2.745876 eta: 2 days, 12:44:06 batch_cost: 1.0889 data_cost: 0.0029 ips: 36.7330 images/s
[07/26 20:36:21] ppdet.engine INFO: Epoch: [35] [140/732] learning_rate: 0.193124 loss_vfl: 1.408981 loss_bbox: 0.807292 loss_dfl: 0.549439 loss: 2.770807 eta: 2 days, 12:43:34 batch_cost: 1.0638 data_cost: 0.0035 ips: 37.6019 images/s
[07/26 20:36:49] ppdet.engine INFO: Epoch: [35] [160/732] learning_rate: 0.193113 loss_vfl: 1.351650 loss_bbox: 0.765897 loss_dfl: 0.513532 loss: 2.594204 eta: 2 days, 12:43:01 batch_cost: 1.0633 data_cost: 0.0031 ips: 37.6180 images/s
[07/26 20:37:17] ppdet.engine INFO: Epoch: [35] [180/732] learning_rate: 0.193101 loss_vfl: 1.388517 loss_bbox: 0.795014 loss_dfl: 0.539844 loss: 2.739550 eta: 2 days, 12:42:44 batch_cost: 1.1615 data_cost: 0.0111 ips: 34.4379 images/s
[07/26 20:37:44] ppdet.engine INFO: Epoch: [35] [200/732] learning_rate: 0.193090 loss_vfl: 1.427633 loss_bbox: 0.793504 loss_dfl: 0.551599 loss: 2.767008 eta: 2 days, 12:42:15 batch_cost: 1.0835 data_cost: 0.0064 ips: 36.9170 images/s
[07/26 20:38:11] ppdet.engine INFO: Epoch: [35] [220/732] learning_rate: 0.193079 loss_vfl: 1.413715 loss_bbox: 0.792642 loss_dfl: 0.549586 loss: 2.757910 eta: 2 days, 12:42:00 batch_cost: 1.1803 data_cost: 0.0070 ips: 33.8891 images/s
[07/26 20:38:38] ppdet.engine INFO: Epoch: [35] [240/732] learning_rate: 0.193068 loss_vfl: 1.333526 loss_bbox: 0.768838 loss_dfl: 0.526948 loss: 2.624968 eta: 2 days, 12:41:35 batch_cost: 1.1129 data_cost: 0.0078 ips: 35.9406 images/s
[07/26 20:39:05] ppdet.engine INFO: Epoch: [35] [260/732] learning_rate: 0.193057 loss_vfl: 1.366293 loss_bbox: 0.780174 loss_dfl: 0.534050 loss: 2.682344 eta: 2 days, 12:41:11 batch_cost: 1.1141 data_cost: 0.0047 ips: 35.9022 images/s
[07/26 20:39:30] ppdet.engine INFO: Epoch: [35] [280/732] learning_rate: 0.193045 loss_vfl: 1.401259 loss_bbox: 0.818659 loss_dfl: 0.549797 loss: 2.766553 eta: 2 days, 12:40:40 batch_cost: 1.0706 data_cost: 0.0071 ips: 37.3629 images/s
[07/26 20:39:56] ppdet.engine INFO: Epoch: [35] [300/732] learning_rate: 0.193034 loss_vfl: 1.388600 loss_bbox: 0.795596 loss_dfl: 0.545815 loss: 2.727324 eta: 2 days, 12:40:07 batch_cost: 1.0629 data_cost: 0.0058 ips: 37.6318 images/s
[07/26 20:40:24] ppdet.engine INFO: Epoch: [35] [320/732] learning_rate: 0.193023 loss_vfl: 1.461849 loss_bbox: 0.815183 loss_dfl: 0.563615 loss: 2.854908 eta: 2 days, 12:39:43 batch_cost: 1.1162 data_cost: 0.0050 ips: 35.8372 images/s
[07/26 20:40:51] ppdet.engine INFO: Epoch: [35] [340/732] learning_rate: 0.193012 loss_vfl: 1.378489 loss_bbox: 0.785422 loss_dfl: 0.537911 loss: 2.717674 eta: 2 days, 12:39:16 batch_cost: 1.1007 data_cost: 0.0024 ips: 36.3401 images/s
[07/26 20:41:18] ppdet.engine INFO: Epoch: [35] [360/732] learning_rate: 0.193000 loss_vfl: 1.411693 loss_bbox: 0.816266 loss_dfl: 0.557442 loss: 2.767564 eta: 2 days, 12:38:50 batch_cost: 1.1021 data_cost: 0.0037 ips: 36.2928 images/s
[07/26 20:41:42] ppdet.engine INFO: Epoch: [35] [380/732] learning_rate: 0.192989 loss_vfl: 1.405736 loss_bbox: 0.798053 loss_dfl: 0.540074 loss: 2.741653 eta: 2 days, 12:38:11 batch_cost: 1.0159 data_cost: 0.0076 ips: 39.3737 images/s
[07/26 20:42:10] ppdet.engine INFO: Epoch: [35] [400/732] learning_rate: 0.192978 loss_vfl: 1.426136 loss_bbox: 0.785150 loss_dfl: 0.542972 loss: 2.721286 eta: 2 days, 12:38:02 batch_cost: 1.2186 data_cost: 0.0049 ips: 32.8251 images/s
[07/26 20:42:37] ppdet.engine INFO: Epoch: [35] [420/732] learning_rate: 0.192966 loss_vfl: 1.411812 loss_bbox: 0.802035 loss_dfl: 0.552858 loss: 2.760252 eta: 2 days, 12:37:43 batch_cost: 1.1540 data_cost: 0.0026 ips: 34.6623 images/s
[07/26 20:43:03] ppdet.engine INFO: Epoch: [35] [440/732] learning_rate: 0.192955 loss_vfl: 1.448609 loss_bbox: 0.812495 loss_dfl: 0.549895 loss: 2.784581 eta: 2 days, 12:37:10 batch_cost: 1.0564 data_cost: 0.0184 ips: 37.8651 images/s
[07/26 20:43:30] ppdet.engine INFO: Epoch: [35] [460/732] learning_rate: 0.192944 loss_vfl: 1.368769 loss_bbox: 0.822065 loss_dfl: 0.553684 loss: 2.759297 eta: 2 days, 12:36:41 batch_cost: 1.0844 data_cost: 0.0076 ips: 36.8855 images/s
[07/26 20:43:54] ppdet.engine INFO: Epoch: [35] [480/732] learning_rate: 0.192933 loss_vfl: 1.374812 loss_bbox: 0.779423 loss_dfl: 0.535904 loss: 2.679823 eta: 2 days, 12:36:04 batch_cost: 1.0280 data_cost: 0.0078 ips: 38.9104 images/s
[07/26 20:44:20] ppdet.engine INFO: Epoch: [35] [500/732] learning_rate: 0.192921 loss_vfl: 1.401876 loss_bbox: 0.771648 loss_dfl: 0.551800 loss: 2.796232 eta: 2 days, 12:35:30 batch_cost: 1.0479 data_cost: 0.0054 ips: 38.1706 images/s
[07/26 20:44:47] ppdet.engine INFO: Epoch: [35] [520/732] learning_rate: 0.192910 loss_vfl: 1.387196 loss_bbox: 0.805591 loss_dfl: 0.542563 loss: 2.704024 eta: 2 days, 12:34:59 batch_cost: 1.0744 data_cost: 0.0030 ips: 37.2307 images/s
[07/26 20:45:14] ppdet.engine INFO: Epoch: [35] [540/732] learning_rate: 0.192898 loss_vfl: 1.396144 loss_bbox: 0.763044 loss_dfl: 0.523648 loss: 2.666150 eta: 2 days, 12:34:42 batch_cost: 1.1657 data_cost: 0.0046 ips: 34.3140 images/s
[07/26 20:45:39] ppdet.engine INFO: Epoch: [35] [560/732] learning_rate: 0.192887 loss_vfl: 1.350714 loss_bbox: 0.790487 loss_dfl: 0.533976 loss: 2.669220 eta: 2 days, 12:33:59 batch_cost: 0.9847 data_cost: 0.0041 ips: 40.6201 images/s
[07/26 20:46:05] ppdet.engine INFO: Epoch: [35] [580/732] learning_rate: 0.192876 loss_vfl: 1.449270 loss_bbox: 0.807808 loss_dfl: 0.551677 loss: 2.787355 eta: 2 days, 12:33:30 batch_cost: 1.0876 data_cost: 0.0061 ips: 36.7791 images/s
[07/26 20:46:32] ppdet.engine INFO: Epoch: [35] [600/732] learning_rate: 0.192864 loss_vfl: 1.421624 loss_bbox: 0.790581 loss_dfl: 0.538262 loss: 2.730439 eta: 2 days, 12:33:05 batch_cost: 1.1099 data_cost: 0.0108 ips: 36.0401 images/s
[07/26 20:46:59] ppdet.engine INFO: Epoch: [35] [620/732] learning_rate: 0.192853 loss_vfl: 1.434329 loss_bbox: 0.802594 loss_dfl: 0.541442 loss: 2.761644 eta: 2 days, 12:32:43 batch_cost: 1.1289 data_cost: 0.0060 ips: 35.4334 images/s
[07/26 20:47:25] ppdet.engine INFO: Epoch: [35] [640/732] learning_rate: 0.192842 loss_vfl: 1.383137 loss_bbox: 0.778563 loss_dfl: 0.534480 loss: 2.710195 eta: 2 days, 12:32:09 batch_cost: 1.0537 data_cost: 0.0077 ips: 37.9617 images/s
[07/26 20:47:52] ppdet.engine INFO: Epoch: [35] [660/732] learning_rate: 0.192830 loss_vfl: 1.436323 loss_bbox: 0.814167 loss_dfl: 0.561476 loss: 2.815462 eta: 2 days, 12:31:42 batch_cost: 1.0934 data_cost: 0.0070 ips: 36.5837 images/s
[07/26 20:48:17] ppdet.engine INFO: Epoch: [35] [680/732] learning_rate: 0.192819 loss_vfl: 1.366671 loss_bbox: 0.798555 loss_dfl: 0.540727 loss: 2.706064 eta: 2 days, 12:31:01 batch_cost: 1.0047 data_cost: 0.0093 ips: 39.8124 images/s
[07/26 20:48:43] ppdet.engine INFO: Epoch: [35] [700/732] learning_rate: 0.192807 loss_vfl: 1.360188 loss_bbox: 0.776865 loss_dfl: 0.528656 loss: 2.670332 eta: 2 days, 12:30:20 batch_cost: 0.9967 data_cost: 0.0096 ips: 40.1325 images/s
[07/26 20:49:10] ppdet.engine INFO: Epoch: [35] [720/732] learning_rate: 0.192796 loss_vfl: 1.348419 loss_bbox: 0.807632 loss_dfl: 0.540775 loss: 2.735710 eta: 2 days, 12:29:45 batch_cost: 1.0442 data_cost: 0.0079 ips: 38.3074 images/s
[07/26 20:49:31] ppdet.engine INFO: Epoch: [36] [  0/732] learning_rate: 0.192789 loss_vfl: 1.412311 loss_bbox: 0.819362 loss_dfl: 0.556398 loss: 2.820812 eta: 2 days, 12:30:12 batch_cost: 1.3926 data_cost: 0.4124 ips: 28.7239 images/s
[07/26 20:50:00] ppdet.engine INFO: Epoch: [36] [ 20/732] learning_rate: 0.192778 loss_vfl: 1.394305 loss_bbox: 0.806467 loss_dfl: 0.550263 loss: 2.755199 eta: 2 days, 12:30:00 batch_cost: 1.2026 data_cost: 0.0056 ips: 33.2611 images/s
[07/26 20:50:29] ppdet.engine INFO: Epoch: [36] [ 40/732] learning_rate: 0.192766 loss_vfl: 1.371014 loss_bbox: 0.769398 loss_dfl: 0.529078 loss: 2.661614 eta: 2 days, 12:29:58 batch_cost: 1.2640 data_cost: 0.0032 ips: 31.6448 images/s
[07/26 20:50:55] ppdet.engine INFO: Epoch: [36] [ 60/732] learning_rate: 0.192755 loss_vfl: 1.389141 loss_bbox: 0.757205 loss_dfl: 0.521815 loss: 2.647003 eta: 2 days, 12:29:25 batch_cost: 1.0573 data_cost: 0.0064 ips: 37.8335 images/s
[07/26 20:51:24] ppdet.engine INFO: Epoch: [36] [ 80/732] learning_rate: 0.192743 loss_vfl: 1.348975 loss_bbox: 0.785922 loss_dfl: 0.524452 loss: 2.647183 eta: 2 days, 12:29:15 batch_cost: 1.2111 data_cost: 0.0024 ips: 33.0276 images/s
[07/26 20:51:48] ppdet.engine INFO: Epoch: [36] [100/732] learning_rate: 0.192732 loss_vfl: 1.348768 loss_bbox: 0.768610 loss_dfl: 0.531800 loss: 2.631747 eta: 2 days, 12:28:41 batch_cost: 1.0509 data_cost: 0.0033 ips: 38.0623 images/s
[07/26 20:52:16] ppdet.engine INFO: Epoch: [36] [120/732] learning_rate: 0.192720 loss_vfl: 1.392092 loss_bbox: 0.792194 loss_dfl: 0.555266 loss: 2.744240 eta: 2 days, 12:28:20 batch_cost: 1.1392 data_cost: 0.0111 ips: 35.1132 images/s
[07/26 20:52:42] ppdet.engine INFO: Epoch: [36] [140/732] learning_rate: 0.192709 loss_vfl: 1.390562 loss_bbox: 0.796591 loss_dfl: 0.541219 loss: 2.723498 eta: 2 days, 12:28:00 batch_cost: 1.1391 data_cost: 0.0091 ips: 35.1157 images/s
[07/26 20:53:11] ppdet.engine INFO: Epoch: [36] [160/732] learning_rate: 0.192697 loss_vfl: 1.440364 loss_bbox: 0.785427 loss_dfl: 0.544830 loss: 2.762382 eta: 2 days, 12:27:35 batch_cost: 1.1112 data_cost: 0.0039 ips: 35.9972 images/s
[07/26 20:53:37] ppdet.engine INFO: Epoch: [36] [180/732] learning_rate: 0.192686 loss_vfl: 1.296043 loss_bbox: 0.730432 loss_dfl: 0.502379 loss: 2.546374 eta: 2 days, 12:27:08 batch_cost: 1.1014 data_cost: 0.0033 ips: 36.3162 images/s
[07/26 20:54:04] ppdet.engine INFO: Epoch: [36] [200/732] learning_rate: 0.192674 loss_vfl: 1.390503 loss_bbox: 0.782514 loss_dfl: 0.546641 loss: 2.770579 eta: 2 days, 12:26:49 batch_cost: 1.1525 data_cost: 0.0027 ips: 34.7079 images/s
[07/26 20:54:32] ppdet.engine INFO: Epoch: [36] [220/732] learning_rate: 0.192663 loss_vfl: 1.417002 loss_bbox: 0.795621 loss_dfl: 0.541171 loss: 2.737892 eta: 2 days, 12:26:36 batch_cost: 1.1930 data_cost: 0.0039 ips: 33.5291 images/s
[07/26 20:54:58] ppdet.engine INFO: Epoch: [36] [240/732] learning_rate: 0.192651 loss_vfl: 1.430918 loss_bbox: 0.807946 loss_dfl: 0.554481 loss: 2.788205 eta: 2 days, 12:26:10 batch_cost: 1.1001 data_cost: 0.0074 ips: 36.3590 images/s
[07/26 20:55:24] ppdet.engine INFO: Epoch: [36] [260/732] learning_rate: 0.192640 loss_vfl: 1.315013 loss_bbox: 0.745409 loss_dfl: 0.502397 loss: 2.548295 eta: 2 days, 12:25:41 batch_cost: 1.0807 data_cost: 0.0087 ips: 37.0131 images/s
[07/26 20:55:53] ppdet.engine INFO: Epoch: [36] [280/732] learning_rate: 0.192628 loss_vfl: 1.323980 loss_bbox: 0.747010 loss_dfl: 0.517043 loss: 2.601701 eta: 2 days, 12:25:31 batch_cost: 1.2183 data_cost: 0.0072 ips: 32.8320 images/s
[07/26 20:56:19] ppdet.engine INFO: Epoch: [36] [300/732] learning_rate: 0.192617 loss_vfl: 1.393233 loss_bbox: 0.781575 loss_dfl: 0.536760 loss: 2.722817 eta: 2 days, 12:25:03 batch_cost: 1.0852 data_cost: 0.0085 ips: 36.8587 images/s
[07/26 20:56:45] ppdet.engine INFO: Epoch: [36] [320/732] learning_rate: 0.192605 loss_vfl: 1.349684 loss_bbox: 0.773230 loss_dfl: 0.527926 loss: 2.656866 eta: 2 days, 12:24:34 batch_cost: 1.0877 data_cost: 0.0105 ips: 36.7745 images/s
[07/26 20:57:13] ppdet.engine INFO: Epoch: [36] [340/732] learning_rate: 0.192593 loss_vfl: 1.432021 loss_bbox: 0.846280 loss_dfl: 0.569865 loss: 2.842777 eta: 2 days, 12:24:08 batch_cost: 1.0983 data_cost: 0.0066 ips: 36.4201 images/s
[07/26 20:57:40] ppdet.engine INFO: Epoch: [36] [360/732] learning_rate: 0.192582 loss_vfl: 1.411146 loss_bbox: 0.753763 loss_dfl: 0.526718 loss: 2.694124 eta: 2 days, 12:23:39 batch_cost: 1.0861 data_cost: 0.0044 ips: 36.8303 images/s
[07/26 20:58:06] ppdet.engine INFO: Epoch: [36] [380/732] learning_rate: 0.192570 loss_vfl: 1.365719 loss_bbox: 0.790460 loss_dfl: 0.532967 loss: 2.682178 eta: 2 days, 12:23:09 batch_cost: 1.0755 data_cost: 0.0103 ips: 37.1917 images/s
[07/26 20:58:33] ppdet.engine INFO: Epoch: [36] [400/732] learning_rate: 0.192559 loss_vfl: 1.389584 loss_bbox: 0.818219 loss_dfl: 0.553782 loss: 2.776936 eta: 2 days, 12:22:39 batch_cost: 1.0757 data_cost: 0.0063 ips: 37.1850 images/s
[07/26 20:58:59] ppdet.engine INFO: Epoch: [36] [420/732] learning_rate: 0.192547 loss_vfl: 1.399104 loss_bbox: 0.755828 loss_dfl: 0.530055 loss: 2.697507 eta: 2 days, 12:22:14 batch_cost: 1.1075 data_cost: 0.0078 ips: 36.1178 images/s
[07/26 20:59:25] ppdet.engine INFO: Epoch: [36] [440/732] learning_rate: 0.192535 loss_vfl: 1.322624 loss_bbox: 0.774423 loss_dfl: 0.520323 loss: 2.589600 eta: 2 days, 12:21:40 batch_cost: 1.0509 data_cost: 0.0018 ips: 38.0631 images/s
[07/26 20:59:51] ppdet.engine INFO: Epoch: [36] [460/732] learning_rate: 0.192524 loss_vfl: 1.372380 loss_bbox: 0.758524 loss_dfl: 0.522218 loss: 2.642602 eta: 2 days, 12:21:07 batch_cost: 1.0527 data_cost: 0.0047 ips: 37.9985 images/s
[07/26 21:00:19] ppdet.engine INFO: Epoch: [36] [480/732] learning_rate: 0.192512 loss_vfl: 1.383564 loss_bbox: 0.789326 loss_dfl: 0.544837 loss: 2.724839 eta: 2 days, 12:20:46 batch_cost: 1.1398 data_cost: 0.0050 ips: 35.0941 images/s
[07/26 21:00:46] ppdet.engine INFO: Epoch: [36] [500/732] learning_rate: 0.192501 loss_vfl: 1.411880 loss_bbox: 0.781666 loss_dfl: 0.539255 loss: 2.740700 eta: 2 days, 12:20:12 batch_cost: 1.0474 data_cost: 0.0021 ips: 38.1915 images/s
[07/26 21:01:13] ppdet.engine INFO: Epoch: [36] [520/732] learning_rate: 0.192489 loss_vfl: 1.397016 loss_bbox: 0.773635 loss_dfl: 0.534319 loss: 2.691560 eta: 2 days, 12:19:52 batch_cost: 1.1426 data_cost: 0.0053 ips: 35.0069 images/s
[07/26 21:01:41] ppdet.engine INFO: Epoch: [36] [540/732] learning_rate: 0.192477 loss_vfl: 1.383379 loss_bbox: 0.787417 loss_dfl: 0.539391 loss: 2.693844 eta: 2 days, 12:19:33 batch_cost: 1.1474 data_cost: 0.0072 ips: 34.8608 images/s
[07/26 21:02:09] ppdet.engine INFO: Epoch: [36] [560/732] learning_rate: 0.192466 loss_vfl: 1.348300 loss_bbox: 0.751587 loss_dfl: 0.519279 loss: 2.634042 eta: 2 days, 12:19:17 batch_cost: 1.1743 data_cost: 0.0053 ips: 34.0618 images/s
[07/26 21:02:36] ppdet.engine INFO: Epoch: [36] [580/732] learning_rate: 0.192454 loss_vfl: 1.416912 loss_bbox: 0.808585 loss_dfl: 0.554584 loss: 2.777955 eta: 2 days, 12:18:45 batch_cost: 1.0611 data_cost: 0.0044 ips: 37.6966 images/s
[07/26 21:03:05] ppdet.engine INFO: Epoch: [36] [600/732] learning_rate: 0.192442 loss_vfl: 1.360604 loss_bbox: 0.747448 loss_dfl: 0.508421 loss: 2.568707 eta: 2 days, 12:18:41 batch_cost: 1.2561 data_cost: 0.0046 ips: 31.8445 images/s
[07/26 21:03:32] ppdet.engine INFO: Epoch: [36] [620/732] learning_rate: 0.192430 loss_vfl: 1.337637 loss_bbox: 0.774220 loss_dfl: 0.526438 loss: 2.640845 eta: 2 days, 12:18:13 batch_cost: 1.0870 data_cost: 0.0035 ips: 36.8000 images/s
[07/26 21:03:59] ppdet.engine INFO: Epoch: [36] [640/732] learning_rate: 0.192419 loss_vfl: 1.378572 loss_bbox: 0.799565 loss_dfl: 0.549972 loss: 2.759998 eta: 2 days, 12:17:57 batch_cost: 1.1764 data_cost: 0.0040 ips: 34.0031 images/s
[07/26 21:04:25] ppdet.engine INFO: Epoch: [36] [660/732] learning_rate: 0.192407 loss_vfl: 1.382275 loss_bbox: 0.791121 loss_dfl: 0.535649 loss: 2.698929 eta: 2 days, 12:17:40 batch_cost: 1.1658 data_cost: 0.0080 ips: 34.3123 images/s
[07/26 21:04:52] ppdet.engine INFO: Epoch: [36] [680/732] learning_rate: 0.192395 loss_vfl: 1.406407 loss_bbox: 0.777899 loss_dfl: 0.538042 loss: 2.692776 eta: 2 days, 12:17:20 batch_cost: 1.1449 data_cost: 0.0074 ips: 34.9369 images/s
[07/26 21:05:20] ppdet.engine INFO: Epoch: [36] [700/732] learning_rate: 0.192384 loss_vfl: 1.335503 loss_bbox: 0.762685 loss_dfl: 0.522515 loss: 2.633968 eta: 2 days, 12:17:18 batch_cost: 1.2729 data_cost: 0.0084 ips: 31.4231 images/s
[07/26 21:05:47] ppdet.engine INFO: Epoch: [36] [720/732] learning_rate: 0.192372 loss_vfl: 1.307153 loss_bbox: 0.751609 loss_dfl: 0.515820 loss: 2.612139 eta: 2 days, 12:17:02 batch_cost: 1.1699 data_cost: 0.0061 ips: 34.1902 images/s
[07/26 21:06:10] ppdet.engine INFO: Epoch: [37] [  0/732] learning_rate: 0.192365 loss_vfl: 1.351076 loss_bbox: 0.764986 loss_dfl: 0.529607 loss: 2.637623 eta: 2 days, 12:17:32 batch_cost: 1.4119 data_cost: 0.5059 ips: 28.3308 images/s
[07/26 21:06:39] ppdet.engine INFO: Epoch: [37] [ 20/732] learning_rate: 0.192353 loss_vfl: 1.393183 loss_bbox: 0.787716 loss_dfl: 0.538051 loss: 2.696934 eta: 2 days, 12:17:25 batch_cost: 1.2340 data_cost: 0.0046 ips: 32.4150 images/s
[07/26 21:07:06] ppdet.engine INFO: Epoch: [37] [ 40/732] learning_rate: 0.192341 loss_vfl: 1.342354 loss_bbox: 0.797910 loss_dfl: 0.533695 loss: 2.664456 eta: 2 days, 12:17:13 batch_cost: 1.2036 data_cost: 0.0073 ips: 33.2350 images/s
[07/26 21:07:35] ppdet.engine INFO: Epoch: [37] [ 60/732] learning_rate: 0.192329 loss_vfl: 1.344309 loss_bbox: 0.749543 loss_dfl: 0.515890 loss: 2.612805 eta: 2 days, 12:17:09 batch_cost: 1.2605 data_cost: 0.0027 ips: 31.7345 images/s
[07/26 21:08:00] ppdet.engine INFO: Epoch: [37] [ 80/732] learning_rate: 0.192318 loss_vfl: 1.417929 loss_bbox: 0.798181 loss_dfl: 0.541937 loss: 2.750013 eta: 2 days, 12:16:43 batch_cost: 1.1002 data_cost: 0.0041 ips: 36.3565 images/s
[07/26 21:08:27] ppdet.engine INFO: Epoch: [37] [100/732] learning_rate: 0.192306 loss_vfl: 1.407466 loss_bbox: 0.815430 loss_dfl: 0.548248 loss: 2.739881 eta: 2 days, 12:16:17 batch_cost: 1.1065 data_cost: 0.0040 ips: 36.1508 images/s
[07/26 21:08:55] ppdet.engine INFO: Epoch: [37] [120/732] learning_rate: 0.192294 loss_vfl: 1.402367 loss_bbox: 0.790496 loss_dfl: 0.532442 loss: 2.735412 eta: 2 days, 12:16:03 batch_cost: 1.1849 data_cost: 0.0055 ips: 33.7570 images/s
[07/26 21:09:22] ppdet.engine INFO: Epoch: [37] [140/732] learning_rate: 0.192282 loss_vfl: 1.380106 loss_bbox: 0.783485 loss_dfl: 0.535895 loss: 2.710498 eta: 2 days, 12:15:46 batch_cost: 1.1704 data_cost: 0.0047 ips: 34.1774 images/s
[07/26 21:09:48] ppdet.engine INFO: Epoch: [37] [160/732] learning_rate: 0.192270 loss_vfl: 1.390862 loss_bbox: 0.790871 loss_dfl: 0.542076 loss: 2.728199 eta: 2 days, 12:15:22 batch_cost: 1.1146 data_cost: 0.0106 ips: 35.8867 images/s
[07/26 21:10:16] ppdet.engine INFO: Epoch: [37] [180/732] learning_rate: 0.192259 loss_vfl: 1.384424 loss_bbox: 0.781285 loss_dfl: 0.545074 loss: 2.711912 eta: 2 days, 12:15:14 batch_cost: 1.2326 data_cost: 0.0033 ips: 32.4511 images/s
[07/26 21:10:42] ppdet.engine INFO: Epoch: [37] [200/732] learning_rate: 0.192247 loss_vfl: 1.431957 loss_bbox: 0.800305 loss_dfl: 0.554446 loss: 2.762361 eta: 2 days, 12:14:55 batch_cost: 1.1515 data_cost: 0.0030 ips: 34.7371 images/s
[07/26 21:11:10] ppdet.engine INFO: Epoch: [37] [220/732] learning_rate: 0.192235 loss_vfl: 1.348964 loss_bbox: 0.778778 loss_dfl: 0.528660 loss: 2.667134 eta: 2 days, 12:14:45 batch_cost: 1.2144 data_cost: 0.0042 ips: 32.9374 images/s
[07/26 21:11:37] ppdet.engine INFO: Epoch: [37] [240/732] learning_rate: 0.192223 loss_vfl: 1.392488 loss_bbox: 0.763915 loss_dfl: 0.532549 loss: 2.720753 eta: 2 days, 12:14:34 batch_cost: 1.2143 data_cost: 0.0027 ips: 32.9420 images/s
[07/26 21:12:03] ppdet.engine INFO: Epoch: [37] [260/732] learning_rate: 0.192211 loss_vfl: 1.391112 loss_bbox: 0.779199 loss_dfl: 0.528742 loss: 2.713735 eta: 2 days, 12:14:10 batch_cost: 1.1179 data_cost: 0.0045 ips: 35.7827 images/s
[07/26 21:12:29] ppdet.engine INFO: Epoch: [37] [280/732] learning_rate: 0.192199 loss_vfl: 1.296403 loss_bbox: 0.735302 loss_dfl: 0.511184 loss: 2.540046 eta: 2 days, 12:13:47 batch_cost: 1.1207 data_cost: 0.0035 ips: 35.6930 images/s
[07/26 21:12:55] ppdet.engine INFO: Epoch: [37] [300/732] learning_rate: 0.192187 loss_vfl: 1.311100 loss_bbox: 0.708564 loss_dfl: 0.492347 loss: 2.509947 eta: 2 days, 12:13:20 batch_cost: 1.0968 data_cost: 0.0109 ips: 36.4707 images/s
[07/26 21:13:22] ppdet.engine INFO: Epoch: [37] [320/732] learning_rate: 0.192176 loss_vfl: 1.441979 loss_bbox: 0.771889 loss_dfl: 0.531668 loss: 2.741426 eta: 2 days, 12:13:05 batch_cost: 1.1827 data_cost: 0.0064 ips: 33.8215 images/s
[07/26 21:13:50] ppdet.engine INFO: Epoch: [37] [340/732] learning_rate: 0.192164 loss_vfl: 1.378083 loss_bbox: 0.783032 loss_dfl: 0.534015 loss: 2.674588 eta: 2 days, 12:12:33 batch_cost: 1.0625 data_cost: 0.0042 ips: 37.6470 images/s
[07/26 21:14:17] ppdet.engine INFO: Epoch: [37] [360/732] learning_rate: 0.192152 loss_vfl: 1.411898 loss_bbox: 0.791793 loss_dfl: 0.541392 loss: 2.737791 eta: 2 days, 12:12:15 batch_cost: 1.1576 data_cost: 0.0058 ips: 34.5552 images/s
[07/26 21:14:44] ppdet.engine INFO: Epoch: [37] [380/732] learning_rate: 0.192140 loss_vfl: 1.302006 loss_bbox: 0.734063 loss_dfl: 0.501383 loss: 2.529322 eta: 2 days, 12:12:00 batch_cost: 1.1831 data_cost: 0.0021 ips: 33.8106 images/s
[07/26 21:15:11] ppdet.engine INFO: Epoch: [37] [400/732] learning_rate: 0.192128 loss_vfl: 1.424157 loss_bbox: 0.802555 loss_dfl: 0.555139 loss: 2.798143 eta: 2 days, 12:11:38 batch_cost: 1.1355 data_cost: 0.0032 ips: 35.2259 images/s
[07/26 21:15:38] ppdet.engine INFO: Epoch: [37] [420/732] learning_rate: 0.192116 loss_vfl: 1.373235 loss_bbox: 0.765052 loss_dfl: 0.532235 loss: 2.681225 eta: 2 days, 12:11:18 batch_cost: 1.1427 data_cost: 0.0086 ips: 35.0056 images/s
[07/26 21:16:05] ppdet.engine INFO: Epoch: [37] [440/732] learning_rate: 0.192104 loss_vfl: 1.328550 loss_bbox: 0.754930 loss_dfl: 0.509203 loss: 2.588062 eta: 2 days, 12:10:58 batch_cost: 1.1485 data_cost: 0.0077 ips: 34.8274 images/s
[07/26 21:16:31] ppdet.engine INFO: Epoch: [37] [460/732] learning_rate: 0.192092 loss_vfl: 1.348647 loss_bbox: 0.760729 loss_dfl: 0.524708 loss: 2.671202 eta: 2 days, 12:10:37 batch_cost: 1.1348 data_cost: 0.0003 ips: 35.2477 images/s
[07/26 21:16:58] ppdet.engine INFO: Epoch: [37] [480/732] learning_rate: 0.192080 loss_vfl: 1.384598 loss_bbox: 0.776673 loss_dfl: 0.523215 loss: 2.654296 eta: 2 days, 12:10:14 batch_cost: 1.1289 data_cost: 0.0014 ips: 35.4313 images/s
[07/26 21:17:25] ppdet.engine INFO: Epoch: [37] [500/732] learning_rate: 0.192068 loss_vfl: 1.390362 loss_bbox: 0.832909 loss_dfl: 0.563460 loss: 2.826134 eta: 2 days, 12:09:53 batch_cost: 1.1388 data_cost: 0.0060 ips: 35.1249 images/s
[07/26 21:17:51] ppdet.engine INFO: Epoch: [37] [520/732] learning_rate: 0.192056 loss_vfl: 1.376687 loss_bbox: 0.794620 loss_dfl: 0.537365 loss: 2.704799 eta: 2 days, 12:09:27 batch_cost: 1.1051 data_cost: 0.0077 ips: 36.1963 images/s
[07/26 21:18:19] ppdet.engine INFO: Epoch: [37] [540/732] learning_rate: 0.192044 loss_vfl: 1.325622 loss_bbox: 0.774274 loss_dfl: 0.528405 loss: 2.665784 eta: 2 days, 12:09:13 batch_cost: 1.1893 data_cost: 0.0102 ips: 33.6322 images/s
[07/26 21:18:44] ppdet.engine INFO: Epoch: [37] [560/732] learning_rate: 0.192032 loss_vfl: 1.389916 loss_bbox: 0.806266 loss_dfl: 0.532424 loss: 2.687188 eta: 2 days, 12:08:39 batch_cost: 1.0417 data_cost: 0.0049 ips: 38.3972 images/s
[07/26 21:19:11] ppdet.engine INFO: Epoch: [37] [580/732] learning_rate: 0.192020 loss_vfl: 1.389240 loss_bbox: 0.790721 loss_dfl: 0.545977 loss: 2.723528 eta: 2 days, 12:08:26 batch_cost: 1.2009 data_cost: 0.0079 ips: 33.3093 images/s
[07/26 21:19:36] ppdet.engine INFO: Epoch: [37] [600/732] learning_rate: 0.192008 loss_vfl: 1.441132 loss_bbox: 0.795445 loss_dfl: 0.542793 loss: 2.745904 eta: 2 days, 12:07:59 batch_cost: 1.0914 data_cost: 0.0045 ips: 36.6498 images/s
[07/26 21:20:03] ppdet.engine INFO: Epoch: [37] [620/732] learning_rate: 0.191996 loss_vfl: 1.380276 loss_bbox: 0.809061 loss_dfl: 0.545634 loss: 2.744058 eta: 2 days, 12:07:32 batch_cost: 1.0958 data_cost: 0.0081 ips: 36.5020 images/s
[07/26 21:20:29] ppdet.engine INFO: Epoch: [37] [640/732] learning_rate: 0.191984 loss_vfl: 1.381058 loss_bbox: 0.790262 loss_dfl: 0.531236 loss: 2.656453 eta: 2 days, 12:07:05 batch_cost: 1.0973 data_cost: 0.0035 ips: 36.4542 images/s
[07/26 21:20:58] ppdet.engine INFO: Epoch: [37] [660/732] learning_rate: 0.191972 loss_vfl: 1.403518 loss_bbox: 0.800848 loss_dfl: 0.549444 loss: 2.776813 eta: 2 days, 12:07:01 batch_cost: 1.2594 data_cost: 0.0024 ips: 31.7609 images/s
[07/26 21:21:26] ppdet.engine INFO: Epoch: [37] [680/732] learning_rate: 0.191960 loss_vfl: 1.385961 loss_bbox: 0.778752 loss_dfl: 0.540814 loss: 2.737909 eta: 2 days, 12:06:45 batch_cost: 1.1761 data_cost: 0.0069 ips: 34.0114 images/s
[07/26 21:21:51] ppdet.engine INFO: Epoch: [37] [700/732] learning_rate: 0.191948 loss_vfl: 1.329425 loss_bbox: 0.781958 loss_dfl: 0.532815 loss: 2.662692 eta: 2 days, 12:06:12 batch_cost: 1.0583 data_cost: 0.0173 ips: 37.7982 images/s
[07/26 21:22:17] ppdet.engine INFO: Epoch: [37] [720/732] learning_rate: 0.191936 loss_vfl: 1.362241 loss_bbox: 0.826558 loss_dfl: 0.547774 loss: 2.753767 eta: 2 days, 12:05:50 batch_cost: 1.1265 data_cost: 0.0085 ips: 35.5085 images/s
[07/26 21:22:37] ppdet.engine INFO: Epoch: [38] [  0/732] learning_rate: 0.191929 loss_vfl: 1.394889 loss_bbox: 0.832583 loss_dfl: 0.556173 loss: 2.806398 eta: 2 days, 12:05:56 batch_cost: 1.2172 data_cost: 0.2804 ips: 32.8618 images/s
[07/26 21:23:10] ppdet.engine INFO: Epoch: [38] [ 20/732] learning_rate: 0.191917 loss_vfl: 1.384603 loss_bbox: 0.780868 loss_dfl: 0.539260 loss: 2.670556 eta: 2 days, 12:06:20 batch_cost: 1.4667 data_cost: 0.0868 ips: 27.2722 images/s
[07/26 21:23:36] ppdet.engine INFO: Epoch: [38] [ 40/732] learning_rate: 0.191905 loss_vfl: 1.335898 loss_bbox: 0.766668 loss_dfl: 0.527151 loss: 2.646154 eta: 2 days, 12:05:53 batch_cost: 1.0914 data_cost: 0.0101 ips: 36.6500 images/s
[07/26 21:24:02] ppdet.engine INFO: Epoch: [38] [ 60/732] learning_rate: 0.191893 loss_vfl: 1.372257 loss_bbox: 0.769717 loss_dfl: 0.537095 loss: 2.721076 eta: 2 days, 12:05:24 batch_cost: 1.0858 data_cost: 0.0074 ips: 36.8395 images/s
[07/26 21:24:29] ppdet.engine INFO: Epoch: [38] [ 80/732] learning_rate: 0.191880 loss_vfl: 1.342142 loss_bbox: 0.778217 loss_dfl: 0.527549 loss: 2.646075 eta: 2 days, 12:04:58 batch_cost: 1.1039 data_cost: 0.0019 ips: 36.2357 images/s
[07/26 21:24:55] ppdet.engine INFO: Epoch: [38] [100/732] learning_rate: 0.191868 loss_vfl: 1.351828 loss_bbox: 0.782669 loss_dfl: 0.537419 loss: 2.721710 eta: 2 days, 12:04:23 batch_cost: 1.0386 data_cost: 0.0058 ips: 38.5128 images/s
[07/26 21:25:21] ppdet.engine INFO: Epoch: [38] [120/732] learning_rate: 0.191856 loss_vfl: 1.365508 loss_bbox: 0.774337 loss_dfl: 0.527823 loss: 2.661577 eta: 2 days, 12:03:50 batch_cost: 1.0479 data_cost: 0.0028 ips: 38.1707 images/s
[07/26 21:25:50] ppdet.engine INFO: Epoch: [38] [140/732] learning_rate: 0.191844 loss_vfl: 1.386053 loss_bbox: 0.810314 loss_dfl: 0.549204 loss: 2.760826 eta: 2 days, 12:03:30 batch_cost: 1.1497 data_cost: 0.0146 ips: 34.7922 images/s
[07/26 21:26:16] ppdet.engine INFO: Epoch: [38] [160/732] learning_rate: 0.191832 loss_vfl: 1.425723 loss_bbox: 0.826189 loss_dfl: 0.559755 loss: 2.841161 eta: 2 days, 12:03:10 batch_cost: 1.1465 data_cost: 0.0092 ips: 34.8899 images/s
[07/26 21:26:42] ppdet.engine INFO: Epoch: [38] [180/732] learning_rate: 0.191820 loss_vfl: 1.410329 loss_bbox: 0.796084 loss_dfl: 0.542631 loss: 2.748801 eta: 2 days, 12:02:40 batch_cost: 1.0750 data_cost: 0.0036 ips: 37.2098 images/s
[07/26 21:27:09] ppdet.engine INFO: Epoch: [38] [200/732] learning_rate: 0.191808 loss_vfl: 1.382158 loss_bbox: 0.822644 loss_dfl: 0.554316 loss: 2.764753 eta: 2 days, 12:02:08 batch_cost: 1.0602 data_cost: 0.0046 ips: 37.7281 images/s
[07/26 21:27:36] ppdet.engine INFO: Epoch: [38] [220/732] learning_rate: 0.191796 loss_vfl: 1.364644 loss_bbox: 0.764050 loss_dfl: 0.525146 loss: 2.665896 eta: 2 days, 12:01:38 batch_cost: 1.0740 data_cost: 0.0069 ips: 37.2427 images/s
[07/26 21:28:05] ppdet.engine INFO: Epoch: [38] [240/732] learning_rate: 0.191783 loss_vfl: 1.423344 loss_bbox: 0.803432 loss_dfl: 0.548668 loss: 2.769826 eta: 2 days, 12:01:23 batch_cost: 1.1834 data_cost: 0.0116 ips: 33.8023 images/s
[07/26 21:28:30] ppdet.engine INFO: Epoch: [38] [260/732] learning_rate: 0.191771 loss_vfl: 1.372358 loss_bbox: 0.803223 loss_dfl: 0.535698 loss: 2.726016 eta: 2 days, 12:00:54 batch_cost: 1.0780 data_cost: 0.0026 ips: 37.1067 images/s
[07/26 21:28:56] ppdet.engine INFO: Epoch: [38] [280/732] learning_rate: 0.191759 loss_vfl: 1.419295 loss_bbox: 0.819195 loss_dfl: 0.557720 loss: 2.798878 eta: 2 days, 12:00:12 batch_cost: 0.9825 data_cost: 0.0052 ips: 40.7136 images/s
[07/26 21:29:23] ppdet.engine INFO: Epoch: [38] [300/732] learning_rate: 0.191747 loss_vfl: 1.383903 loss_bbox: 0.776899 loss_dfl: 0.538828 loss: 2.706887 eta: 2 days, 11:59:55 batch_cost: 1.1731 data_cost: 0.0025 ips: 34.0979 images/s
[07/26 21:29:48] ppdet.engine INFO: Epoch: [38] [320/732] learning_rate: 0.191735 loss_vfl: 1.345587 loss_bbox: 0.775530 loss_dfl: 0.542527 loss: 2.688374 eta: 2 days, 11:59:20 batch_cost: 1.0348 data_cost: 0.0071 ips: 38.6550 images/s
[07/26 21:30:16] ppdet.engine INFO: Epoch: [38] [340/732] learning_rate: 0.191722 loss_vfl: 1.364650 loss_bbox: 0.817024 loss_dfl: 0.544379 loss: 2.730597 eta: 2 days, 11:59:02 batch_cost: 1.1606 data_cost: 0.0076 ips: 34.4660 images/s
[07/26 21:30:42] ppdet.engine INFO: Epoch: [38] [360/732] learning_rate: 0.191710 loss_vfl: 1.360630 loss_bbox: 0.773008 loss_dfl: 0.522897 loss: 2.630884 eta: 2 days, 11:58:41 batch_cost: 1.1394 data_cost: 0.0018 ips: 35.1063 images/s
[07/26 21:31:08] ppdet.engine INFO: Epoch: [38] [380/732] learning_rate: 0.191698 loss_vfl: 1.389975 loss_bbox: 0.811613 loss_dfl: 0.543808 loss: 2.732566 eta: 2 days, 11:58:05 batch_cost: 1.0320 data_cost: 0.0038 ips: 38.7615 images/s
[07/26 21:31:33] ppdet.engine INFO: Epoch: [38] [400/732] learning_rate: 0.191686 loss_vfl: 1.330130 loss_bbox: 0.786566 loss_dfl: 0.527598 loss: 2.616998 eta: 2 days, 11:57:18 batch_cost: 0.9485 data_cost: 0.0044 ips: 42.1713 images/s
[07/26 21:31:59] ppdet.engine INFO: Epoch: [38] [420/732] learning_rate: 0.191673 loss_vfl: 1.404348 loss_bbox: 0.815322 loss_dfl: 0.554002 loss: 2.780865 eta: 2 days, 11:56:53 batch_cost: 1.1103 data_cost: 0.0112 ips: 36.0263 images/s
[07/26 21:32:26] ppdet.engine INFO: Epoch: [38] [440/732] learning_rate: 0.191661 loss_vfl: 1.373765 loss_bbox: 0.781165 loss_dfl: 0.536019 loss: 2.692060 eta: 2 days, 11:56:31 batch_cost: 1.1253 data_cost: 0.0106 ips: 35.5467 images/s
[07/26 21:32:54] ppdet.engine INFO: Epoch: [38] [460/732] learning_rate: 0.191649 loss_vfl: 1.424743 loss_bbox: 0.754321 loss_dfl: 0.525131 loss: 2.735471 eta: 2 days, 11:56:16 batch_cost: 1.1871 data_cost: 0.0017 ips: 33.6953 images/s
[07/26 21:33:20] ppdet.engine INFO: Epoch: [38] [480/732] learning_rate: 0.191637 loss_vfl: 1.399986 loss_bbox: 0.769535 loss_dfl: 0.527380 loss: 2.699192 eta: 2 days, 11:55:45 batch_cost: 1.0670 data_cost: 0.0076 ips: 37.4893 images/s
[07/26 21:33:48] ppdet.engine INFO: Epoch: [38] [500/732] learning_rate: 0.191624 loss_vfl: 1.325816 loss_bbox: 0.737949 loss_dfl: 0.517645 loss: 2.576726 eta: 2 days, 11:55:25 batch_cost: 1.1422 data_cost: 0.0049 ips: 35.0191 images/s
[07/26 21:34:14] ppdet.engine INFO: Epoch: [38] [520/732] learning_rate: 0.191612 loss_vfl: 1.365820 loss_bbox: 0.776282 loss_dfl: 0.532897 loss: 2.680396 eta: 2 days, 11:54:57 batch_cost: 1.0916 data_cost: 0.0032 ips: 36.6439 images/s
[07/26 21:34:41] ppdet.engine INFO: Epoch: [38] [540/732] learning_rate: 0.191600 loss_vfl: 1.328379 loss_bbox: 0.756831 loss_dfl: 0.525917 loss: 2.614985 eta: 2 days, 11:54:40 batch_cost: 1.1697 data_cost: 0.0023 ips: 34.1963 images/s
[07/26 21:35:09] ppdet.engine INFO: Epoch: [38] [560/732] learning_rate: 0.191587 loss_vfl: 1.385472 loss_bbox: 0.764530 loss_dfl: 0.525302 loss: 2.669557 eta: 2 days, 11:54:21 batch_cost: 1.1547 data_cost: 0.0061 ips: 34.6408 images/s
[07/26 21:35:36] ppdet.engine INFO: Epoch: [38] [580/732] learning_rate: 0.191575 loss_vfl: 1.344876 loss_bbox: 0.747261 loss_dfl: 0.515171 loss: 2.605391 eta: 2 days, 11:53:54 batch_cost: 1.0925 data_cost: 0.0086 ips: 36.6129 images/s
[07/26 21:36:02] ppdet.engine INFO: Epoch: [38] [600/732] learning_rate: 0.191563 loss_vfl: 1.422532 loss_bbox: 0.789717 loss_dfl: 0.549576 loss: 2.748562 eta: 2 days, 11:53:20 batch_cost: 1.0425 data_cost: 0.0064 ips: 38.3677 images/s
[07/26 21:36:26] ppdet.engine INFO: Epoch: [38] [620/732] learning_rate: 0.191551 loss_vfl: 1.331058 loss_bbox: 0.782411 loss_dfl: 0.526067 loss: 2.639642 eta: 2 days, 11:52:33 batch_cost: 0.9430 data_cost: 0.0091 ips: 42.4158 images/s
[07/26 21:36:51] ppdet.engine INFO: Epoch: [38] [640/732] learning_rate: 0.191538 loss_vfl: 1.366135 loss_bbox: 0.766262 loss_dfl: 0.528936 loss: 2.654897 eta: 2 days, 11:51:55 batch_cost: 1.0144 data_cost: 0.0040 ips: 39.4334 images/s
[07/26 21:37:19] ppdet.engine INFO: Epoch: [38] [660/732] learning_rate: 0.191526 loss_vfl: 1.319767 loss_bbox: 0.769958 loss_dfl: 0.523241 loss: 2.604383 eta: 2 days, 11:51:35 batch_cost: 1.1444 data_cost: 0.0066 ips: 34.9536 images/s
[07/26 21:37:46] ppdet.engine INFO: Epoch: [38] [680/732] learning_rate: 0.191513 loss_vfl: 1.352877 loss_bbox: 0.746301 loss_dfl: 0.518610 loss: 2.662858 eta: 2 days, 11:51:15 batch_cost: 1.1458 data_cost: 0.0016 ips: 34.9092 images/s
[07/26 21:38:12] ppdet.engine INFO: Epoch: [38] [700/732] learning_rate: 0.191501 loss_vfl: 1.384856 loss_bbox: 0.773803 loss_dfl: 0.532379 loss: 2.699358 eta: 2 days, 11:50:52 batch_cost: 1.1263 data_cost: 0.0070 ips: 35.5158 images/s
[07/26 21:38:38] ppdet.engine INFO: Epoch: [38] [720/732] learning_rate: 0.191489 loss_vfl: 1.360423 loss_bbox: 0.776370 loss_dfl: 0.536557 loss: 2.692456 eta: 2 days, 11:50:25 batch_cost: 1.0937 data_cost: 0.0050 ips: 36.5742 images/s
[07/26 21:39:01] ppdet.engine INFO: Epoch: [39] [  0/732] learning_rate: 0.191481 loss_vfl: 1.386321 loss_bbox: 0.810372 loss_dfl: 0.553207 loss: 2.731893 eta: 2 days, 11:50:51 batch_cost: 1.3451 data_cost: 0.5060 ips: 29.7378 images/s
[07/26 21:39:31] ppdet.engine INFO: Epoch: [39] [ 20/732] learning_rate: 0.191469 loss_vfl: 1.385092 loss_bbox: 0.801071 loss_dfl: 0.543204 loss: 2.703446 eta: 2 days, 11:50:41 batch_cost: 1.2172 data_cost: 0.0061 ips: 32.8633 images/s
[07/26 21:39:58] ppdet.engine INFO: Epoch: [39] [ 40/732] learning_rate: 0.191457 loss_vfl: 1.328865 loss_bbox: 0.755970 loss_dfl: 0.518164 loss: 2.600253 eta: 2 days, 11:50:22 batch_cost: 1.1550 data_cost: 0.0103 ips: 34.6327 images/s
[07/26 21:40:24] ppdet.engine INFO: Epoch: [39] [ 60/732] learning_rate: 0.191444 loss_vfl: 1.387803 loss_bbox: 0.789172 loss_dfl: 0.533638 loss: 2.697523 eta: 2 days, 11:49:50 batch_cost: 1.0581 data_cost: 0.0051 ips: 37.8041 images/s
[07/26 21:40:51] ppdet.engine INFO: Epoch: [39] [ 80/732] learning_rate: 0.191432 loss_vfl: 1.371728 loss_bbox: 0.792714 loss_dfl: 0.542441 loss: 2.732235 eta: 2 days, 11:49:34 batch_cost: 1.1751 data_cost: 0.0036 ips: 34.0400 images/s
[07/26 21:41:19] ppdet.engine INFO: Epoch: [39] [100/732] learning_rate: 0.191419 loss_vfl: 1.345064 loss_bbox: 0.775284 loss_dfl: 0.529827 loss: 2.651839 eta: 2 days, 11:49:17 batch_cost: 1.1730 data_cost: 0.0025 ips: 34.1001 images/s
[07/26 21:41:47] ppdet.engine INFO: Epoch: [39] [120/732] learning_rate: 0.191407 loss_vfl: 1.365488 loss_bbox: 0.774749 loss_dfl: 0.528646 loss: 2.681086 eta: 2 days, 11:49:04 batch_cost: 1.1970 data_cost: 0.0027 ips: 33.4167 images/s
[07/26 21:42:13] ppdet.engine INFO: Epoch: [39] [140/732] learning_rate: 0.191394 loss_vfl: 1.335299 loss_bbox: 0.783168 loss_dfl: 0.534827 loss: 2.657443 eta: 2 days, 11:48:41 batch_cost: 1.1232 data_cost: 0.0055 ips: 35.6116 images/s
[07/26 21:42:41] ppdet.engine INFO: Epoch: [39] [160/732] learning_rate: 0.191382 loss_vfl: 1.404146 loss_bbox: 0.788245 loss_dfl: 0.554243 loss: 2.760357 eta: 2 days, 11:48:17 batch_cost: 1.1182 data_cost: 0.0045 ips: 35.7731 images/s
[07/26 21:43:08] ppdet.engine INFO: Epoch: [39] [180/732] learning_rate: 0.191370 loss_vfl: 1.317583 loss_bbox: 0.763616 loss_dfl: 0.520906 loss: 2.615434 eta: 2 days, 11:47:54 batch_cost: 1.1277 data_cost: 0.0049 ips: 35.4704 images/s
[07/26 21:43:34] ppdet.engine INFO: Epoch: [39] [200/732] learning_rate: 0.191357 loss_vfl: 1.337135 loss_bbox: 0.787300 loss_dfl: 0.537928 loss: 2.687105 eta: 2 days, 11:47:32 batch_cost: 1.1329 data_cost: 0.0040 ips: 35.3068 images/s
[07/26 21:44:02] ppdet.engine INFO: Epoch: [39] [220/732] learning_rate: 0.191345 loss_vfl: 1.367482 loss_bbox: 0.786880 loss_dfl: 0.535059 loss: 2.681086 eta: 2 days, 11:47:06 batch_cost: 1.0973 data_cost: 0.0076 ips: 36.4542 images/s
[07/26 21:44:29] ppdet.engine INFO: Epoch: [39] [240/732] learning_rate: 0.191332 loss_vfl: 1.350813 loss_bbox: 0.775269 loss_dfl: 0.524568 loss: 2.655545 eta: 2 days, 11:46:32 batch_cost: 1.0447 data_cost: 0.0040 ips: 38.2903 images/s
[07/26 21:44:55] ppdet.engine INFO: Epoch: [39] [260/732] learning_rate: 0.191320 loss_vfl: 1.372303 loss_bbox: 0.782015 loss_dfl: 0.535903 loss: 2.739895 eta: 2 days, 11:46:00 batch_cost: 1.0523 data_cost: 0.0044 ips: 38.0132 images/s
[07/26 21:45:24] ppdet.engine INFO: Epoch: [39] [280/732] learning_rate: 0.191307 loss_vfl: 1.387309 loss_bbox: 0.797597 loss_dfl: 0.544748 loss: 2.713082 eta: 2 days, 11:45:45 batch_cost: 1.1874 data_cost: 0.0024 ips: 33.6884 images/s
[07/26 21:45:51] ppdet.engine INFO: Epoch: [39] [300/732] learning_rate: 0.191295 loss_vfl: 1.422418 loss_bbox: 0.783239 loss_dfl: 0.536495 loss: 2.740275 eta: 2 days, 11:45:31 batch_cost: 1.1959 data_cost: 0.0030 ips: 33.4487 images/s
[07/26 21:46:17] ppdet.engine INFO: Epoch: [39] [320/732] learning_rate: 0.191282 loss_vfl: 1.315396 loss_bbox: 0.756389 loss_dfl: 0.518662 loss: 2.599722 eta: 2 days, 11:45:15 batch_cost: 1.1704 data_cost: 0.0094 ips: 34.1775 images/s
[07/26 21:46:42] ppdet.engine INFO: Epoch: [39] [340/732] learning_rate: 0.191270 loss_vfl: 1.325937 loss_bbox: 0.713532 loss_dfl: 0.494951 loss: 2.537423 eta: 2 days, 11:44:36 batch_cost: 1.0106 data_cost: 0.0059 ips: 39.5808 images/s
[07/26 21:47:10] ppdet.engine INFO: Epoch: [39] [360/732] learning_rate: 0.191257 loss_vfl: 1.321199 loss_bbox: 0.755831 loss_dfl: 0.523261 loss: 2.614750 eta: 2 days, 11:44:24 batch_cost: 1.2069 data_cost: 0.0060 ips: 33.1440 images/s
[07/26 21:47:37] ppdet.engine INFO: Epoch: [39] [380/732] learning_rate: 0.191244 loss_vfl: 1.358979 loss_bbox: 0.795551 loss_dfl: 0.543879 loss: 2.712316 eta: 2 days, 11:44:00 batch_cost: 1.1177 data_cost: 0.0044 ips: 35.7868 images/s
[07/26 21:48:04] ppdet.engine INFO: Epoch: [39] [400/732] learning_rate: 0.191232 loss_vfl: 1.262978 loss_bbox: 0.740052 loss_dfl: 0.501678 loss: 2.491157 eta: 2 days, 11:43:43 batch_cost: 1.1692 data_cost: 0.0052 ips: 34.2105 images/s
[07/26 21:48:31] ppdet.engine INFO: Epoch: [39] [420/732] learning_rate: 0.191219 loss_vfl: 1.346070 loss_bbox: 0.784750 loss_dfl: 0.526103 loss: 2.627187 eta: 2 days, 11:43:22 batch_cost: 1.1393 data_cost: 0.0054 ips: 35.1081 images/s
[07/26 21:48:57] ppdet.engine INFO: Epoch: [39] [440/732] learning_rate: 0.191207 loss_vfl: 1.421653 loss_bbox: 0.812541 loss_dfl: 0.562019 loss: 2.823829 eta: 2 days, 11:42:51 batch_cost: 1.0615 data_cost: 0.0046 ips: 37.6815 images/s
[07/26 21:49:23] ppdet.engine INFO: Epoch: [39] [460/732] learning_rate: 0.191194 loss_vfl: 1.417390 loss_bbox: 0.811947 loss_dfl: 0.552662 loss: 2.765092 eta: 2 days, 11:42:28 batch_cost: 1.1214 data_cost: 0.0041 ips: 35.6708 images/s
[07/26 21:49:50] ppdet.engine INFO: Epoch: [39] [480/732] learning_rate: 0.191182 loss_vfl: 1.370128 loss_bbox: 0.771176 loss_dfl: 0.530488 loss: 2.677028 eta: 2 days, 11:42:10 batch_cost: 1.1653 data_cost: 0.0044 ips: 34.3273 images/s
[07/26 21:50:17] ppdet.engine INFO: Epoch: [39] [500/732] learning_rate: 0.191169 loss_vfl: 1.345887 loss_bbox: 0.780651 loss_dfl: 0.538920 loss: 2.661566 eta: 2 days, 11:41:51 batch_cost: 1.1552 data_cost: 0.0038 ips: 34.6258 images/s
[07/26 21:50:43] ppdet.engine INFO: Epoch: [39] [520/732] learning_rate: 0.191156 loss_vfl: 1.324744 loss_bbox: 0.793200 loss_dfl: 0.542009 loss: 2.658656 eta: 2 days, 11:41:29 batch_cost: 1.1319 data_cost: 0.0035 ips: 35.3400 images/s
[07/26 21:51:09] ppdet.engine INFO: Epoch: [39] [540/732] learning_rate: 0.191144 loss_vfl: 1.403245 loss_bbox: 0.761827 loss_dfl: 0.533228 loss: 2.706499 eta: 2 days, 11:41:12 batch_cost: 1.1683 data_cost: 0.0010 ips: 34.2381 images/s
[07/26 21:51:36] ppdet.engine INFO: Epoch: [39] [560/732] learning_rate: 0.191131 loss_vfl: 1.296566 loss_bbox: 0.742908 loss_dfl: 0.513188 loss: 2.542391 eta: 2 days, 11:40:49 batch_cost: 1.1280 data_cost: 0.0058 ips: 35.4609 images/s
[07/26 21:52:02] ppdet.engine INFO: Epoch: [39] [580/732] learning_rate: 0.191119 loss_vfl: 1.418117 loss_bbox: 0.777308 loss_dfl: 0.529040 loss: 2.676572 eta: 2 days, 11:40:18 batch_cost: 1.0647 data_cost: 0.0078 ips: 37.5708 images/s
[07/26 21:52:30] ppdet.engine INFO: Epoch: [39] [600/732] learning_rate: 0.191106 loss_vfl: 1.401815 loss_bbox: 0.795083 loss_dfl: 0.539859 loss: 2.739057 eta: 2 days, 11:40:07 batch_cost: 1.2110 data_cost: 0.0066 ips: 33.0292 images/s
[07/26 21:52:57] ppdet.engine INFO: Epoch: [39] [620/732] learning_rate: 0.191093 loss_vfl: 1.413857 loss_bbox: 0.782134 loss_dfl: 0.555109 loss: 2.815015 eta: 2 days, 11:39:43 batch_cost: 1.1226 data_cost: 0.0097 ips: 35.6320 images/s
[07/26 21:53:25] ppdet.engine INFO: Epoch: [39] [640/732] learning_rate: 0.191081 loss_vfl: 1.331237 loss_bbox: 0.791271 loss_dfl: 0.536479 loss: 2.624098 eta: 2 days, 11:39:26 batch_cost: 1.1684 data_cost: 0.0082 ips: 34.2350 images/s
[07/26 21:53:51] ppdet.engine INFO: Epoch: [39] [660/732] learning_rate: 0.191068 loss_vfl: 1.383240 loss_bbox: 0.794431 loss_dfl: 0.541907 loss: 2.723920 eta: 2 days, 11:38:55 batch_cost: 1.0642 data_cost: 0.0047 ips: 37.5879 images/s
[07/26 21:54:18] ppdet.engine INFO: Epoch: [39] [680/732] learning_rate: 0.191055 loss_vfl: 1.448773 loss_bbox: 0.796667 loss_dfl: 0.552026 loss: 2.788305 eta: 2 days, 11:38:30 batch_cost: 1.1058 data_cost: 0.0028 ips: 36.1740 images/s
[07/26 21:54:44] ppdet.engine INFO: Epoch: [39] [700/732] learning_rate: 0.191043 loss_vfl: 1.408451 loss_bbox: 0.814248 loss_dfl: 0.548659 loss: 2.766529 eta: 2 days, 11:38:09 batch_cost: 1.1440 data_cost: 0.0036 ips: 34.9658 images/s
[07/26 21:55:11] ppdet.engine INFO: Epoch: [39] [720/732] learning_rate: 0.191030 loss_vfl: 1.388834 loss_bbox: 0.760286 loss_dfl: 0.522087 loss: 2.652717 eta: 2 days, 11:37:52 batch_cost: 1.1689 data_cost: 0.0054 ips: 34.2214 images/s
[07/26 21:55:22] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/26 21:55:22] ppdet.engine INFO: Eval iter: 0
[07/26 21:55:44] ppdet.engine INFO: Eval iter: 100
[07/26 21:55:55] ppdet.engine INFO: Eval iter: 200
[07/26 21:56:06] ppdet.engine INFO: Eval iter: 300
[07/26 21:56:17] ppdet.engine INFO: Eval iter: 400
[07/26 21:56:28] ppdet.engine INFO: Eval iter: 500
[07/26 21:56:40] ppdet.engine INFO: Eval iter: 600
[07/26 21:56:57] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=1.03s)
creating index...
index created!
[07/26 21:56:58] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.92s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.65s).
Accumulating evaluation results...
DONE (t=19.38s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.183
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.290
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.192
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.073
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.206
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.280
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.215
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.357
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.379
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.132
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.417
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.582
[07/26 21:59:05] ppdet.engine INFO: Total sample number: 4952, averge FPS: 61.48258272373392
[07/26 21:59:05] ppdet.engine INFO: Best test bbox ap is 0.183.
[07/26 21:59:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/26 21:59:06] ppdet.engine INFO: Epoch: [40] [  0/732] learning_rate: 0.191022 loss_vfl: 1.411022 loss_bbox: 0.797965 loss_dfl: 0.545375 loss: 2.798678 eta: 2 days, 11:37:06 batch_cost: 0.9286 data_cost: 0.0027 ips: 43.0759 images/s
[07/26 21:59:29] ppdet.engine INFO: Epoch: [40] [ 20/732] learning_rate: 0.191010 loss_vfl: 1.408274 loss_bbox: 0.813051 loss_dfl: 0.551429 loss: 2.763225 eta: 2 days, 11:36:21 batch_cost: 0.9499 data_cost: 0.0034 ips: 42.1090 images/s
[07/26 21:59:58] ppdet.engine INFO: Epoch: [40] [ 40/732] learning_rate: 0.190997 loss_vfl: 1.335946 loss_bbox: 0.762618 loss_dfl: 0.519213 loss: 2.619553 eta: 2 days, 11:36:12 batch_cost: 1.2319 data_cost: 0.0074 ips: 32.4696 images/s
[07/26 22:00:23] ppdet.engine INFO: Epoch: [40] [ 60/732] learning_rate: 0.190984 loss_vfl: 1.328574 loss_bbox: 0.795386 loss_dfl: 0.532095 loss: 2.652346 eta: 2 days, 11:35:45 batch_cost: 1.0938 data_cost: 0.0049 ips: 36.5688 images/s
[07/26 22:00:50] ppdet.engine INFO: Epoch: [40] [ 80/732] learning_rate: 0.190972 loss_vfl: 1.372857 loss_bbox: 0.785045 loss_dfl: 0.522640 loss: 2.661417 eta: 2 days, 11:35:16 batch_cost: 1.0774 data_cost: 0.0122 ips: 37.1254 images/s
[07/26 22:01:18] ppdet.engine INFO: Epoch: [40] [100/732] learning_rate: 0.190959 loss_vfl: 1.297056 loss_bbox: 0.763638 loss_dfl: 0.521786 loss: 2.573566 eta: 2 days, 11:35:02 batch_cost: 1.1935 data_cost: 0.0022 ips: 33.5136 images/s
[07/26 22:01:45] ppdet.engine INFO: Epoch: [40] [120/732] learning_rate: 0.190946 loss_vfl: 1.350420 loss_bbox: 0.770431 loss_dfl: 0.532045 loss: 2.645546 eta: 2 days, 11:34:34 batch_cost: 1.0880 data_cost: 0.0049 ips: 36.7647 images/s
[07/26 22:02:13] ppdet.engine INFO: Epoch: [40] [140/732] learning_rate: 0.190933 loss_vfl: 1.398433 loss_bbox: 0.798861 loss_dfl: 0.547173 loss: 2.784566 eta: 2 days, 11:34:20 batch_cost: 1.1950 data_cost: 0.0176 ips: 33.4731 images/s
[07/26 22:02:39] ppdet.engine INFO: Epoch: [40] [160/732] learning_rate: 0.190921 loss_vfl: 1.323348 loss_bbox: 0.755052 loss_dfl: 0.512235 loss: 2.558409 eta: 2 days, 11:33:55 batch_cost: 1.1070 data_cost: 0.0125 ips: 36.1329 images/s
[07/26 22:03:06] ppdet.engine INFO: Epoch: [40] [180/732] learning_rate: 0.190908 loss_vfl: 1.341118 loss_bbox: 0.723733 loss_dfl: 0.511613 loss: 2.602144 eta: 2 days, 11:33:32 batch_cost: 1.1252 data_cost: 0.0215 ips: 35.5500 images/s
[07/26 22:03:35] ppdet.engine INFO: Epoch: [40] [200/732] learning_rate: 0.190895 loss_vfl: 1.352546 loss_bbox: 0.745521 loss_dfl: 0.517817 loss: 2.608353 eta: 2 days, 11:33:15 batch_cost: 1.1687 data_cost: 0.0072 ips: 34.2253 images/s
[07/26 22:04:01] ppdet.engine INFO: Epoch: [40] [220/732] learning_rate: 0.190882 loss_vfl: 1.350716 loss_bbox: 0.767562 loss_dfl: 0.532866 loss: 2.676509 eta: 2 days, 11:32:39 batch_cost: 1.0218 data_cost: 0.0115 ips: 39.1482 images/s
[07/26 22:04:30] ppdet.engine INFO: Epoch: [40] [240/732] learning_rate: 0.190869 loss_vfl: 1.394380 loss_bbox: 0.779623 loss_dfl: 0.527696 loss: 2.714550 eta: 2 days, 11:32:16 batch_cost: 1.1312 data_cost: 0.0039 ips: 35.3599 images/s
[07/26 22:04:56] ppdet.engine INFO: Epoch: [40] [260/732] learning_rate: 0.190857 loss_vfl: 1.377747 loss_bbox: 0.751013 loss_dfl: 0.517825 loss: 2.666468 eta: 2 days, 11:31:48 batch_cost: 1.0855 data_cost: 0.0057 ips: 36.8500 images/s
[07/26 22:05:22] ppdet.engine INFO: Epoch: [40] [280/732] learning_rate: 0.190844 loss_vfl: 1.406029 loss_bbox: 0.798568 loss_dfl: 0.541201 loss: 2.734608 eta: 2 days, 11:31:22 batch_cost: 1.0997 data_cost: 0.0070 ips: 36.3739 images/s
[07/26 22:05:49] ppdet.engine INFO: Epoch: [40] [300/732] learning_rate: 0.190831 loss_vfl: 1.386278 loss_bbox: 0.813903 loss_dfl: 0.549656 loss: 2.740713 eta: 2 days, 11:30:57 batch_cost: 1.1055 data_cost: 0.0030 ips: 36.1816 images/s
[07/26 22:06:16] ppdet.engine INFO: Epoch: [40] [320/732] learning_rate: 0.190818 loss_vfl: 1.405015 loss_bbox: 0.785169 loss_dfl: 0.544493 loss: 2.731090 eta: 2 days, 11:30:35 batch_cost: 1.1346 data_cost: 0.0089 ips: 35.2537 images/s
[07/26 22:06:43] ppdet.engine INFO: Epoch: [40] [340/732] learning_rate: 0.190805 loss_vfl: 1.328561 loss_bbox: 0.752576 loss_dfl: 0.513512 loss: 2.594003 eta: 2 days, 11:30:11 batch_cost: 1.1161 data_cost: 0.0059 ips: 35.8384 images/s
[07/26 22:07:09] ppdet.engine INFO: Epoch: [40] [360/732] learning_rate: 0.190792 loss_vfl: 1.349214 loss_bbox: 0.775385 loss_dfl: 0.517108 loss: 2.621192 eta: 2 days, 11:29:35 batch_cost: 1.0233 data_cost: 0.0060 ips: 39.0883 images/s
[07/26 22:07:36] ppdet.engine INFO: Epoch: [40] [380/732] learning_rate: 0.190780 loss_vfl: 1.348593 loss_bbox: 0.804732 loss_dfl: 0.547003 loss: 2.716418 eta: 2 days, 11:29:17 batch_cost: 1.1568 data_cost: 0.0065 ips: 34.5793 images/s
[07/26 22:08:04] ppdet.engine INFO: Epoch: [40] [400/732] learning_rate: 0.190767 loss_vfl: 1.327551 loss_bbox: 0.750451 loss_dfl: 0.530241 loss: 2.627145 eta: 2 days, 11:28:54 batch_cost: 1.1308 data_cost: 0.0042 ips: 35.3746 images/s
[07/26 22:08:31] ppdet.engine INFO: Epoch: [40] [420/732] learning_rate: 0.190754 loss_vfl: 1.387643 loss_bbox: 0.808209 loss_dfl: 0.563049 loss: 2.769198 eta: 2 days, 11:28:30 batch_cost: 1.1162 data_cost: 0.0066 ips: 35.8374 images/s
[07/26 22:08:56] ppdet.engine INFO: Epoch: [40] [440/732] learning_rate: 0.190741 loss_vfl: 1.324801 loss_bbox: 0.759786 loss_dfl: 0.522939 loss: 2.606440 eta: 2 days, 11:27:59 batch_cost: 1.0579 data_cost: 0.0078 ips: 37.8112 images/s
[07/26 22:09:24] ppdet.engine INFO: Epoch: [40] [460/732] learning_rate: 0.190728 loss_vfl: 1.349292 loss_bbox: 0.750942 loss_dfl: 0.528148 loss: 2.682769 eta: 2 days, 11:27:41 batch_cost: 1.1595 data_cost: 0.0058 ips: 34.4964 images/s
[07/26 22:09:52] ppdet.engine INFO: Epoch: [40] [480/732] learning_rate: 0.190715 loss_vfl: 1.313445 loss_bbox: 0.719548 loss_dfl: 0.501416 loss: 2.539252 eta: 2 days, 11:27:23 batch_cost: 1.1668 data_cost: 0.0142 ips: 34.2821 images/s
[07/26 22:10:18] ppdet.engine INFO: Epoch: [40] [500/732] learning_rate: 0.190702 loss_vfl: 1.396471 loss_bbox: 0.786501 loss_dfl: 0.535419 loss: 2.721256 eta: 2 days, 11:27:00 batch_cost: 1.1246 data_cost: 0.0071 ips: 35.5683 images/s
[07/26 22:10:42] ppdet.engine INFO: Epoch: [40] [520/732] learning_rate: 0.190689 loss_vfl: 1.334893 loss_bbox: 0.764647 loss_dfl: 0.521360 loss: 2.596070 eta: 2 days, 11:26:21 batch_cost: 1.0010 data_cost: 0.0078 ips: 39.9606 images/s
[07/26 22:11:10] ppdet.engine INFO: Epoch: [40] [540/732] learning_rate: 0.190676 loss_vfl: 1.448811 loss_bbox: 0.826766 loss_dfl: 0.569648 loss: 2.839131 eta: 2 days, 11:25:58 batch_cost: 1.1175 data_cost: 0.0061 ips: 35.7944 images/s
[07/26 22:11:37] ppdet.engine INFO: Epoch: [40] [560/732] learning_rate: 0.190664 loss_vfl: 1.317571 loss_bbox: 0.790630 loss_dfl: 0.542623 loss: 2.655049 eta: 2 days, 11:25:36 batch_cost: 1.1356 data_cost: 0.0060 ips: 35.2241 images/s
[07/26 22:12:05] ppdet.engine INFO: Epoch: [40] [580/732] learning_rate: 0.190651 loss_vfl: 1.357974 loss_bbox: 0.773328 loss_dfl: 0.537719 loss: 2.703237 eta: 2 days, 11:25:10 batch_cost: 1.1022 data_cost: 0.0085 ips: 36.2918 images/s
[07/26 22:12:33] ppdet.engine INFO: Epoch: [40] [600/732] learning_rate: 0.190638 loss_vfl: 1.418187 loss_bbox: 0.828737 loss_dfl: 0.561971 loss: 2.791182 eta: 2 days, 11:24:59 batch_cost: 1.2171 data_cost: 0.0033 ips: 32.8660 images/s
[07/26 22:12:58] ppdet.engine INFO: Epoch: [40] [620/732] learning_rate: 0.190625 loss_vfl: 1.379025 loss_bbox: 0.796599 loss_dfl: 0.532668 loss: 2.703013 eta: 2 days, 11:24:21 batch_cost: 1.0005 data_cost: 0.0086 ips: 39.9782 images/s
[07/26 22:13:25] ppdet.engine INFO: Epoch: [40] [640/732] learning_rate: 0.190612 loss_vfl: 1.340052 loss_bbox: 0.762323 loss_dfl: 0.522109 loss: 2.611599 eta: 2 days, 11:23:58 batch_cost: 1.1272 data_cost: 0.0034 ips: 35.4867 images/s
[07/26 22:13:52] ppdet.engine INFO: Epoch: [40] [660/732] learning_rate: 0.190599 loss_vfl: 1.397299 loss_bbox: 0.783294 loss_dfl: 0.543824 loss: 2.749126 eta: 2 days, 11:23:31 batch_cost: 1.0921 data_cost: 0.0050 ips: 36.6269 images/s
[07/26 22:14:18] ppdet.engine INFO: Epoch: [40] [680/732] learning_rate: 0.190586 loss_vfl: 1.368887 loss_bbox: 0.764033 loss_dfl: 0.531219 loss: 2.664139 eta: 2 days, 11:23:00 batch_cost: 1.0601 data_cost: 0.0111 ips: 37.7310 images/s
[07/26 22:14:44] ppdet.engine INFO: Epoch: [40] [700/732] learning_rate: 0.190573 loss_vfl: 1.279721 loss_bbox: 0.728950 loss_dfl: 0.504325 loss: 2.506787 eta: 2 days, 11:22:40 batch_cost: 1.1506 data_cost: 0.0016 ips: 34.7645 images/s
[07/26 22:15:11] ppdet.engine INFO: Epoch: [40] [720/732] learning_rate: 0.190560 loss_vfl: 1.411791 loss_bbox: 0.780018 loss_dfl: 0.532030 loss: 2.711589 eta: 2 days, 11:22:16 batch_cost: 1.1114 data_cost: 0.0061 ips: 35.9908 images/s
[07/26 22:15:33] ppdet.engine INFO: Epoch: [41] [  0/732] learning_rate: 0.190552 loss_vfl: 1.421386 loss_bbox: 0.820266 loss_dfl: 0.548468 loss: 2.775367 eta: 2 days, 11:22:39 batch_cost: 1.3825 data_cost: 0.3037 ips: 28.9328 images/s
[07/26 22:16:03] ppdet.engine INFO: Epoch: [41] [ 20/732] learning_rate: 0.190539 loss_vfl: 1.348576 loss_bbox: 0.775168 loss_dfl: 0.543011 loss: 2.682309 eta: 2 days, 11:22:20 batch_cost: 1.1618 data_cost: 0.0072 ips: 34.4285 images/s
[07/26 22:16:29] ppdet.engine INFO: Epoch: [41] [ 40/732] learning_rate: 0.190526 loss_vfl: 1.338622 loss_bbox: 0.763512 loss_dfl: 0.525662 loss: 2.621089 eta: 2 days, 11:21:56 batch_cost: 1.1113 data_cost: 0.0097 ips: 35.9925 images/s
[07/26 22:16:56] ppdet.engine INFO: Epoch: [41] [ 60/732] learning_rate: 0.190513 loss_vfl: 1.291469 loss_bbox: 0.748574 loss_dfl: 0.509196 loss: 2.545133 eta: 2 days, 11:21:27 batch_cost: 1.0746 data_cost: 0.0106 ips: 37.2244 images/s
[07/26 22:17:23] ppdet.engine INFO: Epoch: [41] [ 80/732] learning_rate: 0.190500 loss_vfl: 1.343798 loss_bbox: 0.763309 loss_dfl: 0.522981 loss: 2.632243 eta: 2 days, 11:21:01 batch_cost: 1.1026 data_cost: 0.0032 ips: 36.2785 images/s
[07/26 22:17:50] ppdet.engine INFO: Epoch: [41] [100/732] learning_rate: 0.190487 loss_vfl: 1.388678 loss_bbox: 0.808596 loss_dfl: 0.548954 loss: 2.759461 eta: 2 days, 11:20:42 batch_cost: 1.1554 data_cost: 0.0032 ips: 34.6192 images/s
[07/26 22:18:17] ppdet.engine INFO: Epoch: [41] [120/732] learning_rate: 0.190474 loss_vfl: 1.310176 loss_bbox: 0.761280 loss_dfl: 0.516058 loss: 2.574406 eta: 2 days, 11:20:25 batch_cost: 1.1748 data_cost: 0.0043 ips: 34.0471 images/s
[07/26 22:18:45] ppdet.engine INFO: Epoch: [41] [140/732] learning_rate: 0.190461 loss_vfl: 1.426160 loss_bbox: 0.813545 loss_dfl: 0.544796 loss: 2.709710 eta: 2 days, 11:20:04 batch_cost: 1.1330 data_cost: 0.0054 ips: 35.3032 images/s
[07/26 22:19:11] ppdet.engine INFO: Epoch: [41] [160/732] learning_rate: 0.190448 loss_vfl: 1.368701 loss_bbox: 0.775515 loss_dfl: 0.533078 loss: 2.681352 eta: 2 days, 11:19:37 batch_cost: 1.0938 data_cost: 0.0046 ips: 36.5689 images/s
[07/26 22:19:38] ppdet.engine INFO: Epoch: [41] [180/732] learning_rate: 0.190435 loss_vfl: 1.424005 loss_bbox: 0.809822 loss_dfl: 0.549402 loss: 2.773180 eta: 2 days, 11:19:14 batch_cost: 1.1296 data_cost: 0.0015 ips: 35.4117 images/s
[07/26 22:20:04] ppdet.engine INFO: Epoch: [41] [200/732] learning_rate: 0.190422 loss_vfl: 1.429600 loss_bbox: 0.822827 loss_dfl: 0.566441 loss: 2.831122 eta: 2 days, 11:18:43 batch_cost: 1.0547 data_cost: 0.0092 ips: 37.9262 images/s
[07/26 22:20:31] ppdet.engine INFO: Epoch: [41] [220/732] learning_rate: 0.190408 loss_vfl: 1.368680 loss_bbox: 0.784073 loss_dfl: 0.539650 loss: 2.713209 eta: 2 days, 11:18:19 batch_cost: 1.1210 data_cost: 0.0058 ips: 35.6814 images/s
[07/26 22:20:58] ppdet.engine INFO: Epoch: [41] [240/732] learning_rate: 0.190395 loss_vfl: 1.425393 loss_bbox: 0.810097 loss_dfl: 0.557491 loss: 2.797104 eta: 2 days, 11:17:58 batch_cost: 1.1360 data_cost: 0.0095 ips: 35.2111 images/s
[07/26 22:21:24] ppdet.engine INFO: Epoch: [41] [260/732] learning_rate: 0.190382 loss_vfl: 1.334597 loss_bbox: 0.768395 loss_dfl: 0.521439 loss: 2.630217 eta: 2 days, 11:17:26 batch_cost: 1.0539 data_cost: 0.0102 ips: 37.9538 images/s
[07/26 22:21:51] ppdet.engine INFO: Epoch: [41] [280/732] learning_rate: 0.190369 loss_vfl: 1.368129 loss_bbox: 0.793563 loss_dfl: 0.537513 loss: 2.704981 eta: 2 days, 11:17:04 batch_cost: 1.1263 data_cost: 0.0036 ips: 35.5145 images/s
[07/26 22:22:16] ppdet.engine INFO: Epoch: [41] [300/732] learning_rate: 0.190356 loss_vfl: 1.415907 loss_bbox: 0.809218 loss_dfl: 0.549167 loss: 2.779042 eta: 2 days, 11:16:24 batch_cost: 0.9948 data_cost: 0.0050 ips: 40.2085 images/s
[07/26 22:22:42] ppdet.engine INFO: Epoch: [41] [320/732] learning_rate: 0.190343 loss_vfl: 1.339348 loss_bbox: 0.756320 loss_dfl: 0.525148 loss: 2.628893 eta: 2 days, 11:15:48 batch_cost: 1.0180 data_cost: 0.0097 ips: 39.2934 images/s
[07/26 22:23:08] ppdet.engine INFO: Epoch: [41] [340/732] learning_rate: 0.190330 loss_vfl: 1.371258 loss_bbox: 0.761413 loss_dfl: 0.530913 loss: 2.671002 eta: 2 days, 11:15:19 batch_cost: 1.0716 data_cost: 0.0171 ips: 37.3283 images/s
[07/26 22:23:37] ppdet.engine INFO: Epoch: [41] [360/732] learning_rate: 0.190317 loss_vfl: 1.352193 loss_bbox: 0.763285 loss_dfl: 0.518312 loss: 2.631149 eta: 2 days, 11:14:54 batch_cost: 1.1112 data_cost: 0.0095 ips: 35.9986 images/s
[07/26 22:24:03] ppdet.engine INFO: Epoch: [41] [380/732] learning_rate: 0.190303 loss_vfl: 1.354398 loss_bbox: 0.790038 loss_dfl: 0.540957 loss: 2.712513 eta: 2 days, 11:14:21 batch_cost: 1.0392 data_cost: 0.0037 ips: 38.4922 images/s
[07/26 22:24:29] ppdet.engine INFO: Epoch: [41] [400/732] learning_rate: 0.190290 loss_vfl: 1.343119 loss_bbox: 0.774376 loss_dfl: 0.531640 loss: 2.639216 eta: 2 days, 11:13:54 batch_cost: 1.0932 data_cost: 0.0081 ips: 36.5889 images/s
[07/26 22:24:54] ppdet.engine INFO: Epoch: [41] [420/732] learning_rate: 0.190277 loss_vfl: 1.329630 loss_bbox: 0.765601 loss_dfl: 0.528625 loss: 2.607496 eta: 2 days, 11:13:24 batch_cost: 1.0674 data_cost: 0.0050 ips: 37.4729 images/s
[07/26 22:25:21] ppdet.engine INFO: Epoch: [41] [440/732] learning_rate: 0.190264 loss_vfl: 1.392438 loss_bbox: 0.768420 loss_dfl: 0.531111 loss: 2.696662 eta: 2 days, 11:12:59 batch_cost: 1.1043 data_cost: 0.0074 ips: 36.2206 images/s
[07/26 22:25:48] ppdet.engine INFO: Epoch: [41] [460/732] learning_rate: 0.190251 loss_vfl: 1.400687 loss_bbox: 0.789469 loss_dfl: 0.535259 loss: 2.723832 eta: 2 days, 11:12:40 batch_cost: 1.1567 data_cost: 0.0066 ips: 34.5803 images/s
[07/26 22:26:14] ppdet.engine INFO: Epoch: [41] [480/732] learning_rate: 0.190237 loss_vfl: 1.395585 loss_bbox: 0.789104 loss_dfl: 0.536884 loss: 2.718516 eta: 2 days, 11:12:12 batch_cost: 1.0842 data_cost: 0.0031 ips: 36.8938 images/s
[07/26 22:26:41] ppdet.engine INFO: Epoch: [41] [500/732] learning_rate: 0.190224 loss_vfl: 1.371172 loss_bbox: 0.768116 loss_dfl: 0.533659 loss: 2.666890 eta: 2 days, 11:11:49 batch_cost: 1.1208 data_cost: 0.0050 ips: 35.6883 images/s
[07/26 22:27:06] ppdet.engine INFO: Epoch: [41] [520/732] learning_rate: 0.190211 loss_vfl: 1.385855 loss_bbox: 0.760803 loss_dfl: 0.519692 loss: 2.661198 eta: 2 days, 11:11:17 batch_cost: 1.0500 data_cost: 0.0031 ips: 38.0960 images/s
[07/26 22:27:33] ppdet.engine INFO: Epoch: [41] [540/732] learning_rate: 0.190198 loss_vfl: 1.365227 loss_bbox: 0.780648 loss_dfl: 0.538944 loss: 2.712483 eta: 2 days, 11:10:52 batch_cost: 1.1125 data_cost: 0.0063 ips: 35.9539 images/s
[07/26 22:27:58] ppdet.engine INFO: Epoch: [41] [560/732] learning_rate: 0.190185 loss_vfl: 1.351530 loss_bbox: 0.772544 loss_dfl: 0.522045 loss: 2.627303 eta: 2 days, 11:10:13 batch_cost: 0.9953 data_cost: 0.0093 ips: 40.1889 images/s
[07/26 22:28:26] ppdet.engine INFO: Epoch: [41] [580/732] learning_rate: 0.190171 loss_vfl: 1.379713 loss_bbox: 0.792665 loss_dfl: 0.527766 loss: 2.691282 eta: 2 days, 11:10:04 batch_cost: 1.2371 data_cost: 0.0147 ips: 32.3338 images/s
[07/26 22:28:52] ppdet.engine INFO: Epoch: [41] [600/732] learning_rate: 0.190158 loss_vfl: 1.404273 loss_bbox: 0.816805 loss_dfl: 0.555105 loss: 2.784870 eta: 2 days, 11:09:37 batch_cost: 1.0855 data_cost: 0.0087 ips: 36.8490 images/s
[07/26 22:29:19] ppdet.engine INFO: Epoch: [41] [620/732] learning_rate: 0.190145 loss_vfl: 1.398305 loss_bbox: 0.795905 loss_dfl: 0.540797 loss: 2.734004 eta: 2 days, 11:09:08 batch_cost: 1.0781 data_cost: 0.0128 ips: 37.1029 images/s
[07/26 22:29:46] ppdet.engine INFO: Epoch: [41] [640/732] learning_rate: 0.190131 loss_vfl: 1.338892 loss_bbox: 0.764875 loss_dfl: 0.525051 loss: 2.647397 eta: 2 days, 11:08:46 batch_cost: 1.1270 data_cost: 0.0040 ips: 35.4935 images/s
[07/26 22:30:13] ppdet.engine INFO: Epoch: [41] [660/732] learning_rate: 0.190118 loss_vfl: 1.353127 loss_bbox: 0.790504 loss_dfl: 0.530255 loss: 2.678492 eta: 2 days, 11:08:27 batch_cost: 1.1603 data_cost: 0.0078 ips: 34.4725 images/s
[07/26 22:30:39] ppdet.engine INFO: Epoch: [41] [680/732] learning_rate: 0.190105 loss_vfl: 1.371546 loss_bbox: 0.794876 loss_dfl: 0.530746 loss: 2.686538 eta: 2 days, 11:07:54 batch_cost: 1.0373 data_cost: 0.0061 ips: 38.5612 images/s
[07/26 22:31:05] ppdet.engine INFO: Epoch: [41] [700/732] learning_rate: 0.190092 loss_vfl: 1.323568 loss_bbox: 0.747310 loss_dfl: 0.519187 loss: 2.612257 eta: 2 days, 11:07:26 batch_cost: 1.0840 data_cost: 0.0109 ips: 36.9011 images/s
[07/26 22:31:32] ppdet.engine INFO: Epoch: [41] [720/732] learning_rate: 0.190078 loss_vfl: 1.384700 loss_bbox: 0.756159 loss_dfl: 0.526391 loss: 2.676367 eta: 2 days, 11:07:06 batch_cost: 1.1507 data_cost: 0.0080 ips: 34.7626 images/s
[07/26 22:31:52] ppdet.engine INFO: Epoch: [42] [  0/732] learning_rate: 0.190070 loss_vfl: 1.352049 loss_bbox: 0.783514 loss_dfl: 0.538212 loss: 2.680124 eta: 2 days, 11:07:14 batch_cost: 1.2550 data_cost: 0.3254 ips: 31.8733 images/s
[07/26 22:32:23] ppdet.engine INFO: Epoch: [42] [ 20/732] learning_rate: 0.190057 loss_vfl: 1.318938 loss_bbox: 0.749979 loss_dfl: 0.515266 loss: 2.572890 eta: 2 days, 11:07:18 batch_cost: 1.3465 data_cost: 0.0949 ips: 29.7056 images/s
[07/26 22:32:50] ppdet.engine INFO: Epoch: [42] [ 40/732] learning_rate: 0.190044 loss_vfl: 1.394757 loss_bbox: 0.791499 loss_dfl: 0.536343 loss: 2.703193 eta: 2 days, 11:07:03 batch_cost: 1.1873 data_cost: 0.0063 ips: 33.6891 images/s
[07/26 22:33:19] ppdet.engine INFO: Epoch: [42] [ 60/732] learning_rate: 0.190030 loss_vfl: 1.350348 loss_bbox: 0.748695 loss_dfl: 0.512150 loss: 2.627794 eta: 2 days, 11:06:36 batch_cost: 1.0940 data_cost: 0.0049 ips: 36.5615 images/s
[07/26 22:33:45] ppdet.engine INFO: Epoch: [42] [ 80/732] learning_rate: 0.190017 loss_vfl: 1.338274 loss_bbox: 0.771582 loss_dfl: 0.522524 loss: 2.620433 eta: 2 days, 11:06:06 batch_cost: 1.0626 data_cost: 0.0071 ips: 37.6426 images/s
[07/26 22:34:11] ppdet.engine INFO: Epoch: [42] [100/732] learning_rate: 0.190004 loss_vfl: 1.396349 loss_bbox: 0.817799 loss_dfl: 0.553213 loss: 2.777484 eta: 2 days, 11:05:33 batch_cost: 1.0451 data_cost: 0.0105 ips: 38.2755 images/s
[07/26 22:34:37] ppdet.engine INFO: Epoch: [42] [120/732] learning_rate: 0.189990 loss_vfl: 1.388050 loss_bbox: 0.783872 loss_dfl: 0.542763 loss: 2.707071 eta: 2 days, 11:05:07 batch_cost: 1.0942 data_cost: 0.0076 ips: 36.5560 images/s
[07/26 22:35:05] ppdet.engine INFO: Epoch: [42] [140/732] learning_rate: 0.189977 loss_vfl: 1.363034 loss_bbox: 0.763554 loss_dfl: 0.524525 loss: 2.653476 eta: 2 days, 11:04:46 batch_cost: 1.1429 data_cost: 0.0079 ips: 34.9990 images/s
[07/26 22:35:31] ppdet.engine INFO: Epoch: [42] [160/732] learning_rate: 0.189964 loss_vfl: 1.371529 loss_bbox: 0.783523 loss_dfl: 0.533718 loss: 2.678506 eta: 2 days, 11:04:22 batch_cost: 1.1168 data_cost: 0.0084 ips: 35.8176 images/s
[07/26 22:35:59] ppdet.engine INFO: Epoch: [42] [180/732] learning_rate: 0.189950 loss_vfl: 1.342637 loss_bbox: 0.774626 loss_dfl: 0.535456 loss: 2.658622 eta: 2 days, 11:03:59 batch_cost: 1.1238 data_cost: 0.0098 ips: 35.5938 images/s
[07/26 22:36:26] ppdet.engine INFO: Epoch: [42] [200/732] learning_rate: 0.189937 loss_vfl: 1.328773 loss_bbox: 0.776541 loss_dfl: 0.535520 loss: 2.629773 eta: 2 days, 11:03:36 batch_cost: 1.1168 data_cost: 0.0048 ips: 35.8164 images/s
[07/26 22:36:52] ppdet.engine INFO: Epoch: [42] [220/732] learning_rate: 0.189923 loss_vfl: 1.344898 loss_bbox: 0.762764 loss_dfl: 0.522339 loss: 2.623108 eta: 2 days, 11:03:05 batch_cost: 1.0631 data_cost: 0.0063 ips: 37.6251 images/s
[07/26 22:37:19] ppdet.engine INFO: Epoch: [42] [240/732] learning_rate: 0.189910 loss_vfl: 1.330141 loss_bbox: 0.776864 loss_dfl: 0.529488 loss: 2.653737 eta: 2 days, 11:02:39 batch_cost: 1.0984 data_cost: 0.0060 ips: 36.4172 images/s
[07/26 22:37:47] ppdet.engine INFO: Epoch: [42] [260/732] learning_rate: 0.189896 loss_vfl: 1.412927 loss_bbox: 0.785588 loss_dfl: 0.543680 loss: 2.730864 eta: 2 days, 11:02:22 batch_cost: 1.1707 data_cost: 0.0096 ips: 34.1681 images/s
[07/26 22:38:14] ppdet.engine INFO: Epoch: [42] [280/732] learning_rate: 0.189883 loss_vfl: 1.433058 loss_bbox: 0.807899 loss_dfl: 0.550828 loss: 2.779964 eta: 2 days, 11:02:05 batch_cost: 1.1696 data_cost: 0.0040 ips: 34.2008 images/s
[07/26 22:38:43] ppdet.engine INFO: Epoch: [42] [300/732] learning_rate: 0.189870 loss_vfl: 1.375213 loss_bbox: 0.785981 loss_dfl: 0.538199 loss: 2.657680 eta: 2 days, 11:01:52 batch_cost: 1.2116 data_cost: 0.0042 ips: 33.0150 images/s
[07/26 22:39:10] ppdet.engine INFO: Epoch: [42] [320/732] learning_rate: 0.189856 loss_vfl: 1.354092 loss_bbox: 0.771345 loss_dfl: 0.530767 loss: 2.661988 eta: 2 days, 11:01:37 batch_cost: 1.1836 data_cost: 0.0036 ips: 33.7960 images/s
[07/26 22:39:36] ppdet.engine INFO: Epoch: [42] [340/732] learning_rate: 0.189843 loss_vfl: 1.361864 loss_bbox: 0.754476 loss_dfl: 0.519530 loss: 2.622638 eta: 2 days, 11:01:11 batch_cost: 1.1021 data_cost: 0.0074 ips: 36.2932 images/s
[07/26 22:40:04] ppdet.engine INFO: Epoch: [42] [360/732] learning_rate: 0.189829 loss_vfl: 1.364782 loss_bbox: 0.788365 loss_dfl: 0.533844 loss: 2.647989 eta: 2 days, 11:00:48 batch_cost: 1.1192 data_cost: 0.0123 ips: 35.7410 images/s
[07/26 22:40:31] ppdet.engine INFO: Epoch: [42] [380/732] learning_rate: 0.189816 loss_vfl: 1.352722 loss_bbox: 0.747551 loss_dfl: 0.520658 loss: 2.656544 eta: 2 days, 11:00:24 batch_cost: 1.1210 data_cost: 0.0011 ips: 35.6830 images/s
[07/26 22:40:57] ppdet.engine INFO: Epoch: [42] [400/732] learning_rate: 0.189802 loss_vfl: 1.353652 loss_bbox: 0.762734 loss_dfl: 0.533055 loss: 2.687092 eta: 2 days, 10:59:56 batch_cost: 1.0819 data_cost: 0.0045 ips: 36.9735 images/s
[07/26 22:41:24] ppdet.engine INFO: Epoch: [42] [420/732] learning_rate: 0.189789 loss_vfl: 1.362929 loss_bbox: 0.792368 loss_dfl: 0.544163 loss: 2.702524 eta: 2 days, 10:59:33 batch_cost: 1.1212 data_cost: 0.0082 ips: 35.6772 images/s
[07/26 22:41:51] ppdet.engine INFO: Epoch: [42] [440/732] learning_rate: 0.189775 loss_vfl: 1.408077 loss_bbox: 0.806837 loss_dfl: 0.553923 loss: 2.757481 eta: 2 days, 10:59:15 batch_cost: 1.1611 data_cost: 0.0053 ips: 34.4504 images/s
[07/26 22:42:19] ppdet.engine INFO: Epoch: [42] [460/732] learning_rate: 0.189762 loss_vfl: 1.367323 loss_bbox: 0.798284 loss_dfl: 0.537348 loss: 2.732285 eta: 2 days, 10:58:57 batch_cost: 1.1642 data_cost: 0.0064 ips: 34.3584 images/s
[07/26 22:42:44] ppdet.engine INFO: Epoch: [42] [480/732] learning_rate: 0.189748 loss_vfl: 1.347039 loss_bbox: 0.787426 loss_dfl: 0.539131 loss: 2.661869 eta: 2 days, 10:58:25 batch_cost: 1.0493 data_cost: 0.0036 ips: 38.1209 images/s
[07/26 22:43:12] ppdet.engine INFO: Epoch: [42] [500/732] learning_rate: 0.189735 loss_vfl: 1.380989 loss_bbox: 0.803689 loss_dfl: 0.546851 loss: 2.741255 eta: 2 days, 10:58:08 batch_cost: 1.1762 data_cost: 0.0079 ips: 34.0080 images/s
[07/26 22:43:38] ppdet.engine INFO: Epoch: [42] [520/732] learning_rate: 0.189721 loss_vfl: 1.419219 loss_bbox: 0.782831 loss_dfl: 0.548546 loss: 2.775365 eta: 2 days, 10:57:40 batch_cost: 1.0792 data_cost: 0.0050 ips: 37.0629 images/s
[07/26 22:44:05] ppdet.engine INFO: Epoch: [42] [540/732] learning_rate: 0.189708 loss_vfl: 1.329493 loss_bbox: 0.753024 loss_dfl: 0.515309 loss: 2.571615 eta: 2 days, 10:57:16 batch_cost: 1.1185 data_cost: 0.0061 ips: 35.7624 images/s
[07/26 22:44:31] ppdet.engine INFO: Epoch: [42] [560/732] learning_rate: 0.189694 loss_vfl: 1.367036 loss_bbox: 0.805116 loss_dfl: 0.558440 loss: 2.734645 eta: 2 days, 10:56:58 batch_cost: 1.1617 data_cost: 0.0129 ips: 34.4329 images/s
[07/26 22:44:59] ppdet.engine INFO: Epoch: [42] [580/732] learning_rate: 0.189681 loss_vfl: 1.297155 loss_bbox: 0.766945 loss_dfl: 0.519894 loss: 2.576216 eta: 2 days, 10:56:44 batch_cost: 1.1985 data_cost: 0.0056 ips: 33.3749 images/s
[07/26 22:45:26] ppdet.engine INFO: Epoch: [42] [600/732] learning_rate: 0.189667 loss_vfl: 1.400555 loss_bbox: 0.775221 loss_dfl: 0.541180 loss: 2.752195 eta: 2 days, 10:56:19 batch_cost: 1.1049 data_cost: 0.0068 ips: 36.2012 images/s
[07/26 22:45:54] ppdet.engine INFO: Epoch: [42] [620/732] learning_rate: 0.189653 loss_vfl: 1.347478 loss_bbox: 0.745495 loss_dfl: 0.518921 loss: 2.606136 eta: 2 days, 10:55:58 batch_cost: 1.1416 data_cost: 0.0041 ips: 35.0373 images/s
[07/26 22:46:22] ppdet.engine INFO: Epoch: [42] [640/732] learning_rate: 0.189640 loss_vfl: 1.445517 loss_bbox: 0.793463 loss_dfl: 0.547116 loss: 2.769618 eta: 2 days, 10:55:43 batch_cost: 1.1928 data_cost: 0.0068 ips: 33.5357 images/s
[07/26 22:46:50] ppdet.engine INFO: Epoch: [42] [660/732] learning_rate: 0.189626 loss_vfl: 1.355956 loss_bbox: 0.763457 loss_dfl: 0.535432 loss: 2.629430 eta: 2 days, 10:55:29 batch_cost: 1.1995 data_cost: 0.0058 ips: 33.3481 images/s
[07/26 22:47:16] ppdet.engine INFO: Epoch: [42] [680/732] learning_rate: 0.189613 loss_vfl: 1.395459 loss_bbox: 0.766478 loss_dfl: 0.526790 loss: 2.687651 eta: 2 days, 10:55:08 batch_cost: 1.1323 data_cost: 0.0044 ips: 35.3249 images/s
[07/26 22:47:42] ppdet.engine INFO: Epoch: [42] [700/732] learning_rate: 0.189599 loss_vfl: 1.420585 loss_bbox: 0.778362 loss_dfl: 0.540761 loss: 2.726196 eta: 2 days, 10:54:36 batch_cost: 1.0485 data_cost: 0.0077 ips: 38.1515 images/s
[07/26 22:48:06] ppdet.engine INFO: Epoch: [42] [720/732] learning_rate: 0.189585 loss_vfl: 1.399969 loss_bbox: 0.816573 loss_dfl: 0.556317 loss: 2.775841 eta: 2 days, 10:53:54 batch_cost: 0.9702 data_cost: 0.0089 ips: 41.2303 images/s
[07/26 22:48:31] ppdet.engine INFO: Epoch: [43] [  0/732] learning_rate: 0.189577 loss_vfl: 1.391517 loss_bbox: 0.809176 loss_dfl: 0.553372 loss: 2.763029 eta: 2 days, 10:54:30 batch_cost: 1.4550 data_cost: 0.5340 ips: 27.4920 images/s
[07/26 22:49:02] ppdet.engine INFO: Epoch: [43] [ 20/732] learning_rate: 0.189564 loss_vfl: 1.408270 loss_bbox: 0.804366 loss_dfl: 0.555408 loss: 2.765862 eta: 2 days, 10:54:35 batch_cost: 1.3615 data_cost: 0.0019 ips: 29.3797 images/s
[07/26 22:49:30] ppdet.engine INFO: Epoch: [43] [ 40/732] learning_rate: 0.189550 loss_vfl: 1.380335 loss_bbox: 0.773549 loss_dfl: 0.541065 loss: 2.723117 eta: 2 days, 10:54:23 batch_cost: 1.2106 data_cost: 0.0039 ips: 33.0424 images/s
[07/26 22:49:57] ppdet.engine INFO: Epoch: [43] [ 60/732] learning_rate: 0.189536 loss_vfl: 1.385970 loss_bbox: 0.807644 loss_dfl: 0.545018 loss: 2.731173 eta: 2 days, 10:54:07 batch_cost: 1.1848 data_cost: 0.0057 ips: 33.7600 images/s
[07/26 22:50:25] ppdet.engine INFO: Epoch: [43] [ 80/732] learning_rate: 0.189523 loss_vfl: 1.377777 loss_bbox: 0.765657 loss_dfl: 0.534258 loss: 2.675041 eta: 2 days, 10:53:57 batch_cost: 1.2357 data_cost: 0.0056 ips: 32.3709 images/s
[07/26 22:50:53] ppdet.engine INFO: Epoch: [43] [100/732] learning_rate: 0.189509 loss_vfl: 1.376124 loss_bbox: 0.753374 loss_dfl: 0.523396 loss: 2.653749 eta: 2 days, 10:53:38 batch_cost: 1.1523 data_cost: 0.0037 ips: 34.7142 images/s
[07/26 22:51:20] ppdet.engine INFO: Epoch: [43] [120/732] learning_rate: 0.189495 loss_vfl: 1.292953 loss_bbox: 0.761145 loss_dfl: 0.514742 loss: 2.569561 eta: 2 days, 10:53:26 batch_cost: 1.2179 data_cost: 0.0090 ips: 32.8436 images/s
[07/26 22:51:46] ppdet.engine INFO: Epoch: [43] [140/732] learning_rate: 0.189482 loss_vfl: 1.401665 loss_bbox: 0.790909 loss_dfl: 0.548487 loss: 2.746108 eta: 2 days, 10:53:01 batch_cost: 1.1073 data_cost: 0.0069 ips: 36.1248 images/s
[07/26 22:52:12] ppdet.engine INFO: Epoch: [43] [160/732] learning_rate: 0.189468 loss_vfl: 1.374840 loss_bbox: 0.787105 loss_dfl: 0.543816 loss: 2.710881 eta: 2 days, 10:52:32 batch_cost: 1.0773 data_cost: 0.0089 ips: 37.1294 images/s
[07/26 22:52:38] ppdet.engine INFO: Epoch: [43] [180/732] learning_rate: 0.189454 loss_vfl: 1.343806 loss_bbox: 0.776128 loss_dfl: 0.528352 loss: 2.657226 eta: 2 days, 10:51:58 batch_cost: 1.0304 data_cost: 0.0071 ips: 38.8197 images/s
[07/26 22:53:05] ppdet.engine INFO: Epoch: [43] [200/732] learning_rate: 0.189441 loss_vfl: 1.356599 loss_bbox: 0.767977 loss_dfl: 0.534634 loss: 2.667764 eta: 2 days, 10:51:36 batch_cost: 1.1284 data_cost: 0.0077 ips: 35.4477 images/s
[07/26 22:53:32] ppdet.engine INFO: Epoch: [43] [220/732] learning_rate: 0.189427 loss_vfl: 1.354891 loss_bbox: 0.814320 loss_dfl: 0.545861 loss: 2.705409 eta: 2 days, 10:51:21 batch_cost: 1.1964 data_cost: 0.0033 ips: 33.4330 images/s
[07/26 22:54:00] ppdet.engine INFO: Epoch: [43] [240/732] learning_rate: 0.189413 loss_vfl: 1.335011 loss_bbox: 0.772374 loss_dfl: 0.525276 loss: 2.631013 eta: 2 days, 10:50:54 batch_cost: 1.0870 data_cost: 0.0054 ips: 36.7992 images/s
[07/26 22:54:25] ppdet.engine INFO: Epoch: [43] [260/732] learning_rate: 0.189400 loss_vfl: 1.356611 loss_bbox: 0.781741 loss_dfl: 0.532789 loss: 2.668525 eta: 2 days, 10:50:22 batch_cost: 1.0522 data_cost: 0.0096 ips: 38.0156 images/s
[07/26 22:54:52] ppdet.engine INFO: Epoch: [43] [280/732] learning_rate: 0.189386 loss_vfl: 1.307441 loss_bbox: 0.745490 loss_dfl: 0.511182 loss: 2.578686 eta: 2 days, 10:49:57 batch_cost: 1.1016 data_cost: 0.0068 ips: 36.3093 images/s
[07/26 22:55:18] ppdet.engine INFO: Epoch: [43] [300/732] learning_rate: 0.189372 loss_vfl: 1.351269 loss_bbox: 0.767915 loss_dfl: 0.519490 loss: 2.633246 eta: 2 days, 10:49:34 batch_cost: 1.1293 data_cost: 0.0043 ips: 35.4213 images/s
[07/26 22:55:46] ppdet.engine INFO: Epoch: [43] [320/732] learning_rate: 0.189358 loss_vfl: 1.303792 loss_bbox: 0.766140 loss_dfl: 0.524001 loss: 2.607314 eta: 2 days, 10:49:16 batch_cost: 1.1651 data_cost: 0.0076 ips: 34.3331 images/s
[07/26 22:56:12] ppdet.engine INFO: Epoch: [43] [340/732] learning_rate: 0.189345 loss_vfl: 1.418384 loss_bbox: 0.829072 loss_dfl: 0.564830 loss: 2.801142 eta: 2 days, 10:48:49 batch_cost: 1.0908 data_cost: 0.0048 ips: 36.6705 images/s
[07/26 22:56:39] ppdet.engine INFO: Epoch: [43] [360/732] learning_rate: 0.189331 loss_vfl: 1.376534 loss_bbox: 0.805681 loss_dfl: 0.549092 loss: 2.737315 eta: 2 days, 10:48:29 batch_cost: 1.1433 data_cost: 0.0092 ips: 34.9862 images/s
[07/26 22:57:05] ppdet.engine INFO: Epoch: [43] [380/732] learning_rate: 0.189317 loss_vfl: 1.450303 loss_bbox: 0.795696 loss_dfl: 0.552106 loss: 2.818313 eta: 2 days, 10:48:09 batch_cost: 1.1488 data_cost: 0.0054 ips: 34.8189 images/s
[07/26 22:57:31] ppdet.engine INFO: Epoch: [43] [400/732] learning_rate: 0.189303 loss_vfl: 1.337481 loss_bbox: 0.782014 loss_dfl: 0.529667 loss: 2.655093 eta: 2 days, 10:47:32 batch_cost: 1.0095 data_cost: 0.0048 ips: 39.6249 images/s
[07/26 22:57:58] ppdet.engine INFO: Epoch: [43] [420/732] learning_rate: 0.189289 loss_vfl: 1.369779 loss_bbox: 0.800261 loss_dfl: 0.544683 loss: 2.711223 eta: 2 days, 10:47:06 batch_cost: 1.0997 data_cost: 0.0073 ips: 36.3742 images/s
[07/26 22:58:23] ppdet.engine INFO: Epoch: [43] [440/732] learning_rate: 0.189276 loss_vfl: 1.343922 loss_bbox: 0.756237 loss_dfl: 0.515322 loss: 2.611326 eta: 2 days, 10:46:45 batch_cost: 1.1346 data_cost: 0.0028 ips: 35.2539 images/s
[07/26 22:58:50] ppdet.engine INFO: Epoch: [43] [460/732] learning_rate: 0.189262 loss_vfl: 1.384972 loss_bbox: 0.786893 loss_dfl: 0.536274 loss: 2.770331 eta: 2 days, 10:46:21 batch_cost: 1.1168 data_cost: 0.0017 ips: 35.8159 images/s
[07/26 22:59:16] ppdet.engine INFO: Epoch: [43] [480/732] learning_rate: 0.189248 loss_vfl: 1.354457 loss_bbox: 0.785377 loss_dfl: 0.530879 loss: 2.679681 eta: 2 days, 10:45:53 batch_cost: 1.0803 data_cost: 0.0074 ips: 37.0261 images/s
[07/26 22:59:43] ppdet.engine INFO: Epoch: [43] [500/732] learning_rate: 0.189234 loss_vfl: 1.378280 loss_bbox: 0.782341 loss_dfl: 0.529755 loss: 2.696162 eta: 2 days, 10:45:36 batch_cost: 1.1766 data_cost: 0.0026 ips: 33.9963 images/s
[07/26 23:00:10] ppdet.engine INFO: Epoch: [43] [520/732] learning_rate: 0.189220 loss_vfl: 1.350186 loss_bbox: 0.761045 loss_dfl: 0.527452 loss: 2.643432 eta: 2 days, 10:45:19 batch_cost: 1.1755 data_cost: 0.0176 ips: 34.0273 images/s
[07/26 23:00:36] ppdet.engine INFO: Epoch: [43] [540/732] learning_rate: 0.189206 loss_vfl: 1.362906 loss_bbox: 0.765154 loss_dfl: 0.530726 loss: 2.669145 eta: 2 days, 10:44:59 batch_cost: 1.1486 data_cost: 0.0083 ips: 34.8264 images/s
[07/26 23:01:03] ppdet.engine INFO: Epoch: [43] [560/732] learning_rate: 0.189193 loss_vfl: 1.341624 loss_bbox: 0.785105 loss_dfl: 0.534494 loss: 2.684469 eta: 2 days, 10:44:35 batch_cost: 1.1165 data_cost: 0.0104 ips: 35.8258 images/s
[07/26 23:01:27] ppdet.engine INFO: Epoch: [43] [580/732] learning_rate: 0.189179 loss_vfl: 1.370970 loss_bbox: 0.815749 loss_dfl: 0.550724 loss: 2.751771 eta: 2 days, 10:44:05 batch_cost: 1.0623 data_cost: 0.0083 ips: 37.6555 images/s
[07/26 23:01:55] ppdet.engine INFO: Epoch: [43] [600/732] learning_rate: 0.189165 loss_vfl: 1.422228 loss_bbox: 0.798869 loss_dfl: 0.554362 loss: 2.756092 eta: 2 days, 10:43:46 batch_cost: 1.1540 data_cost: 0.0150 ips: 34.6607 images/s
[07/26 23:02:22] ppdet.engine INFO: Epoch: [43] [620/732] learning_rate: 0.189151 loss_vfl: 1.318307 loss_bbox: 0.758049 loss_dfl: 0.518783 loss: 2.580074 eta: 2 days, 10:43:23 batch_cost: 1.1304 data_cost: 0.0148 ips: 35.3857 images/s
[07/26 23:02:49] ppdet.engine INFO: Epoch: [43] [640/732] learning_rate: 0.189137 loss_vfl: 1.404011 loss_bbox: 0.806026 loss_dfl: 0.553188 loss: 2.785986 eta: 2 days, 10:43:05 batch_cost: 1.1613 data_cost: 0.0072 ips: 34.4454 images/s
[07/26 23:03:15] ppdet.engine INFO: Epoch: [43] [660/732] learning_rate: 0.189123 loss_vfl: 1.359557 loss_bbox: 0.808573 loss_dfl: 0.550283 loss: 2.723320 eta: 2 days, 10:42:39 batch_cost: 1.1006 data_cost: 0.0067 ips: 36.3444 images/s
[07/26 23:03:42] ppdet.engine INFO: Epoch: [43] [680/732] learning_rate: 0.189109 loss_vfl: 1.383895 loss_bbox: 0.770617 loss_dfl: 0.524656 loss: 2.691704 eta: 2 days, 10:42:21 batch_cost: 1.1636 data_cost: 0.0039 ips: 34.3769 images/s
[07/26 23:04:07] ppdet.engine INFO: Epoch: [43] [700/732] learning_rate: 0.189095 loss_vfl: 1.358975 loss_bbox: 0.747161 loss_dfl: 0.514598 loss: 2.567441 eta: 2 days, 10:41:43 batch_cost: 0.9991 data_cost: 0.0048 ips: 40.0371 images/s
[07/26 23:04:34] ppdet.engine INFO: Epoch: [43] [720/732] learning_rate: 0.189081 loss_vfl: 1.336714 loss_bbox: 0.764439 loss_dfl: 0.526368 loss: 2.620831 eta: 2 days, 10:41:26 batch_cost: 1.1693 data_cost: 0.0040 ips: 34.2084 images/s
[07/26 23:04:58] ppdet.engine INFO: Epoch: [44] [  0/732] learning_rate: 0.189073 loss_vfl: 1.375151 loss_bbox: 0.784312 loss_dfl: 0.551670 loss: 2.708436 eta: 2 days, 10:41:57 batch_cost: 1.5221 data_cost: 0.5702 ips: 26.2802 images/s
[07/26 23:05:26] ppdet.engine INFO: Epoch: [44] [ 20/732] learning_rate: 0.189059 loss_vfl: 1.351640 loss_bbox: 0.798094 loss_dfl: 0.537145 loss: 2.702395 eta: 2 days, 10:41:33 batch_cost: 1.1140 data_cost: 0.0082 ips: 35.9054 images/s
[07/26 23:05:51] ppdet.engine INFO: Epoch: [44] [ 40/732] learning_rate: 0.189045 loss_vfl: 1.363311 loss_bbox: 0.759972 loss_dfl: 0.523727 loss: 2.634100 eta: 2 days, 10:40:56 batch_cost: 1.0050 data_cost: 0.0037 ips: 39.8007 images/s
[07/26 23:06:20] ppdet.engine INFO: Epoch: [44] [ 60/732] learning_rate: 0.189031 loss_vfl: 1.325742 loss_bbox: 0.782218 loss_dfl: 0.527922 loss: 2.643853 eta: 2 days, 10:40:39 batch_cost: 1.1748 data_cost: 0.0091 ips: 34.0493 images/s
[07/26 23:06:47] ppdet.engine INFO: Epoch: [44] [ 80/732] learning_rate: 0.189017 loss_vfl: 1.364105 loss_bbox: 0.757976 loss_dfl: 0.534862 loss: 2.678883 eta: 2 days, 10:40:26 batch_cost: 1.2086 data_cost: 0.0066 ips: 33.0973 images/s
[07/26 23:07:14] ppdet.engine INFO: Epoch: [44] [100/732] learning_rate: 0.189003 loss_vfl: 1.381763 loss_bbox: 0.774984 loss_dfl: 0.530955 loss: 2.669677 eta: 2 days, 10:40:05 batch_cost: 1.1354 data_cost: 0.0027 ips: 35.2308 images/s
[07/26 23:07:40] ppdet.engine INFO: Epoch: [44] [120/732] learning_rate: 0.188989 loss_vfl: 1.311751 loss_bbox: 0.764233 loss_dfl: 0.512609 loss: 2.581063 eta: 2 days, 10:39:36 batch_cost: 1.0739 data_cost: 0.0034 ips: 37.2491 images/s
[07/26 23:08:07] ppdet.engine INFO: Epoch: [44] [140/732] learning_rate: 0.188975 loss_vfl: 1.425956 loss_bbox: 0.814822 loss_dfl: 0.553709 loss: 2.787817 eta: 2 days, 10:39:07 batch_cost: 1.0731 data_cost: 0.0024 ips: 37.2764 images/s
[07/26 23:08:34] ppdet.engine INFO: Epoch: [44] [160/732] learning_rate: 0.188961 loss_vfl: 1.353400 loss_bbox: 0.749241 loss_dfl: 0.522630 loss: 2.616931 eta: 2 days, 10:38:45 batch_cost: 1.1302 data_cost: 0.0098 ips: 35.3934 images/s
[07/26 23:09:00] ppdet.engine INFO: Epoch: [44] [180/732] learning_rate: 0.188947 loss_vfl: 1.304492 loss_bbox: 0.746180 loss_dfl: 0.509470 loss: 2.550527 eta: 2 days, 10:38:16 batch_cost: 1.0757 data_cost: 0.0036 ips: 37.1842 images/s
[07/26 23:09:28] ppdet.engine INFO: Epoch: [44] [200/732] learning_rate: 0.188933 loss_vfl: 1.385310 loss_bbox: 0.770277 loss_dfl: 0.534125 loss: 2.677914 eta: 2 days, 10:38:01 batch_cost: 1.1897 data_cost: 0.0088 ips: 33.6208 images/s
[07/26 23:09:54] ppdet.engine INFO: Epoch: [44] [220/732] learning_rate: 0.188919 loss_vfl: 1.342334 loss_bbox: 0.776526 loss_dfl: 0.529991 loss: 2.624706 eta: 2 days, 10:37:34 batch_cost: 1.0928 data_cost: 0.0096 ips: 36.6042 images/s
[07/26 23:10:20] ppdet.engine INFO: Epoch: [44] [240/732] learning_rate: 0.188905 loss_vfl: 1.341777 loss_bbox: 0.768410 loss_dfl: 0.530460 loss: 2.651860 eta: 2 days, 10:37:05 batch_cost: 1.0740 data_cost: 0.0057 ips: 37.2446 images/s
[07/26 23:10:46] ppdet.engine INFO: Epoch: [44] [260/732] learning_rate: 0.188891 loss_vfl: 1.394333 loss_bbox: 0.766351 loss_dfl: 0.530259 loss: 2.682235 eta: 2 days, 10:36:38 batch_cost: 1.0856 data_cost: 0.0038 ips: 36.8476 images/s
[07/26 23:11:12] ppdet.engine INFO: Epoch: [44] [280/732] learning_rate: 0.188877 loss_vfl: 1.348595 loss_bbox: 0.749902 loss_dfl: 0.521329 loss: 2.615301 eta: 2 days, 10:36:12 batch_cost: 1.0935 data_cost: 0.0081 ips: 36.5804 images/s
[07/26 23:11:39] ppdet.engine INFO: Epoch: [44] [300/732] learning_rate: 0.188863 loss_vfl: 1.401422 loss_bbox: 0.774088 loss_dfl: 0.540868 loss: 2.727287 eta: 2 days, 10:35:45 batch_cost: 1.0968 data_cost: 0.0042 ips: 36.4688 images/s
[07/26 23:12:07] ppdet.engine INFO: Epoch: [44] [320/732] learning_rate: 0.188849 loss_vfl: 1.421744 loss_bbox: 0.779380 loss_dfl: 0.540109 loss: 2.733023 eta: 2 days, 10:35:30 batch_cost: 1.1860 data_cost: 0.0004 ips: 33.7261 images/s
[07/26 23:12:34] ppdet.engine INFO: Epoch: [44] [340/732] learning_rate: 0.188835 loss_vfl: 1.354366 loss_bbox: 0.771162 loss_dfl: 0.519031 loss: 2.649344 eta: 2 days, 10:35:08 batch_cost: 1.1320 data_cost: 0.0072 ips: 35.3357 images/s
[07/26 23:13:01] ppdet.engine INFO: Epoch: [44] [360/732] learning_rate: 0.188821 loss_vfl: 1.465466 loss_bbox: 0.787158 loss_dfl: 0.545185 loss: 2.802304 eta: 2 days, 10:34:46 batch_cost: 1.1357 data_cost: 0.0048 ips: 35.2192 images/s
[07/26 23:13:26] ppdet.engine INFO: Epoch: [44] [380/732] learning_rate: 0.188807 loss_vfl: 1.412971 loss_bbox: 0.745918 loss_dfl: 0.528037 loss: 2.702996 eta: 2 days, 10:34:16 batch_cost: 1.0633 data_cost: 0.0103 ips: 37.6182 images/s
[07/26 23:13:53] ppdet.engine INFO: Epoch: [44] [400/732] learning_rate: 0.188793 loss_vfl: 1.379172 loss_bbox: 0.790274 loss_dfl: 0.541230 loss: 2.705325 eta: 2 days, 10:33:52 batch_cost: 1.1177 data_cost: 0.0080 ips: 35.7870 images/s
[07/26 23:14:20] ppdet.engine INFO: Epoch: [44] [420/732] learning_rate: 0.188779 loss_vfl: 1.279317 loss_bbox: 0.723284 loss_dfl: 0.499833 loss: 2.487031 eta: 2 days, 10:33:30 batch_cost: 1.1319 data_cost: 0.0070 ips: 35.3398 images/s
[07/26 23:14:46] ppdet.engine INFO: Epoch: [44] [440/732] learning_rate: 0.188765 loss_vfl: 1.426760 loss_bbox: 0.799079 loss_dfl: 0.549602 loss: 2.767960 eta: 2 days, 10:33:00 batch_cost: 1.0593 data_cost: 0.0166 ips: 37.7604 images/s
[07/26 23:15:13] ppdet.engine INFO: Epoch: [44] [460/732] learning_rate: 0.188751 loss_vfl: 1.395831 loss_bbox: 0.810021 loss_dfl: 0.550336 loss: 2.777584 eta: 2 days, 10:32:38 batch_cost: 1.1336 data_cost: 0.0052 ips: 35.2857 images/s
[07/26 23:15:39] ppdet.engine INFO: Epoch: [44] [480/732] learning_rate: 0.188736 loss_vfl: 1.348390 loss_bbox: 0.777538 loss_dfl: 0.523372 loss: 2.650614 eta: 2 days, 10:32:11 batch_cost: 1.0858 data_cost: 0.0071 ips: 36.8378 images/s
[07/26 23:16:06] ppdet.engine INFO: Epoch: [44] [500/732] learning_rate: 0.188722 loss_vfl: 1.345696 loss_bbox: 0.772676 loss_dfl: 0.526439 loss: 2.651087 eta: 2 days, 10:31:54 batch_cost: 1.1768 data_cost: 0.0055 ips: 33.9908 images/s
[07/26 23:16:32] ppdet.engine INFO: Epoch: [44] [520/732] learning_rate: 0.188708 loss_vfl: 1.359395 loss_bbox: 0.779143 loss_dfl: 0.527229 loss: 2.642534 eta: 2 days, 10:31:26 batch_cost: 1.0818 data_cost: 0.0014 ips: 36.9757 images/s
[07/26 23:16:59] ppdet.engine INFO: Epoch: [44] [540/732] learning_rate: 0.188694 loss_vfl: 1.398057 loss_bbox: 0.794744 loss_dfl: 0.543876 loss: 2.729269 eta: 2 days, 10:30:55 batch_cost: 1.0486 data_cost: 0.0063 ips: 38.1453 images/s
[07/26 23:17:26] ppdet.engine INFO: Epoch: [44] [560/732] learning_rate: 0.188680 loss_vfl: 1.356200 loss_bbox: 0.802265 loss_dfl: 0.539660 loss: 2.685367 eta: 2 days, 10:30:27 batch_cost: 1.0822 data_cost: 0.0096 ips: 36.9601 images/s
[07/26 23:17:54] ppdet.engine INFO: Epoch: [44] [580/732] learning_rate: 0.188666 loss_vfl: 1.381465 loss_bbox: 0.776618 loss_dfl: 0.529931 loss: 2.696651 eta: 2 days, 10:30:05 batch_cost: 1.1295 data_cost: 0.0015 ips: 35.4153 images/s
[07/26 23:18:21] ppdet.engine INFO: Epoch: [44] [600/732] learning_rate: 0.188652 loss_vfl: 1.366956 loss_bbox: 0.777417 loss_dfl: 0.544105 loss: 2.730230 eta: 2 days, 10:29:47 batch_cost: 1.1724 data_cost: 0.0113 ips: 34.1182 images/s
[07/26 23:18:47] ppdet.engine INFO: Epoch: [44] [620/732] learning_rate: 0.188637 loss_vfl: 1.418650 loss_bbox: 0.787712 loss_dfl: 0.546128 loss: 2.749144 eta: 2 days, 10:29:23 batch_cost: 1.1162 data_cost: 0.0083 ips: 35.8359 images/s
[07/26 23:19:15] ppdet.engine INFO: Epoch: [44] [640/732] learning_rate: 0.188623 loss_vfl: 1.376459 loss_bbox: 0.793685 loss_dfl: 0.545992 loss: 2.716287 eta: 2 days, 10:29:09 batch_cost: 1.2010 data_cost: 0.0115 ips: 33.3045 images/s
[07/26 23:19:41] ppdet.engine INFO: Epoch: [44] [660/732] learning_rate: 0.188609 loss_vfl: 1.332509 loss_bbox: 0.757188 loss_dfl: 0.517036 loss: 2.580040 eta: 2 days, 10:28:42 batch_cost: 1.0902 data_cost: 0.0040 ips: 36.6921 images/s
[07/26 23:20:08] ppdet.engine INFO: Epoch: [44] [680/732] learning_rate: 0.188595 loss_vfl: 1.380270 loss_bbox: 0.746954 loss_dfl: 0.526689 loss: 2.652207 eta: 2 days, 10:28:32 batch_cost: 1.2342 data_cost: 0.0068 ips: 32.4100 images/s
[07/26 23:20:36] ppdet.engine INFO: Epoch: [44] [700/732] learning_rate: 0.188581 loss_vfl: 1.368273 loss_bbox: 0.776656 loss_dfl: 0.523386 loss: 2.647743 eta: 2 days, 10:28:08 batch_cost: 1.1123 data_cost: 0.0050 ips: 35.9620 images/s
[07/26 23:21:02] ppdet.engine INFO: Epoch: [44] [720/732] learning_rate: 0.188566 loss_vfl: 1.373568 loss_bbox: 0.769595 loss_dfl: 0.535188 loss: 2.673110 eta: 2 days, 10:27:38 batch_cost: 1.0671 data_cost: 0.0043 ips: 37.4861 images/s
[07/26 23:21:26] ppdet.engine INFO: Epoch: [45] [  0/732] learning_rate: 0.188558 loss_vfl: 1.361243 loss_bbox: 0.781462 loss_dfl: 0.544086 loss: 2.673110 eta: 2 days, 10:28:08 batch_cost: 1.4751 data_cost: 0.5351 ips: 27.1159 images/s
[07/26 23:21:54] ppdet.engine INFO: Epoch: [45] [ 20/732] learning_rate: 0.188544 loss_vfl: 1.359407 loss_bbox: 0.733249 loss_dfl: 0.512201 loss: 2.591465 eta: 2 days, 10:27:56 batch_cost: 1.2244 data_cost: 0.0032 ips: 32.6685 images/s
[07/26 23:22:21] ppdet.engine INFO: Epoch: [45] [ 40/732] learning_rate: 0.188529 loss_vfl: 1.345359 loss_bbox: 0.743413 loss_dfl: 0.523328 loss: 2.655093 eta: 2 days, 10:27:32 batch_cost: 1.1126 data_cost: 0.0036 ips: 35.9505 images/s
[07/26 23:22:50] ppdet.engine INFO: Epoch: [45] [ 60/732] learning_rate: 0.188515 loss_vfl: 1.384726 loss_bbox: 0.797039 loss_dfl: 0.541345 loss: 2.715485 eta: 2 days, 10:27:17 batch_cost: 1.1919 data_cost: 0.0042 ips: 33.5597 images/s
[07/26 23:23:16] ppdet.engine INFO: Epoch: [45] [ 80/732] learning_rate: 0.188501 loss_vfl: 1.406661 loss_bbox: 0.833913 loss_dfl: 0.566602 loss: 2.783028 eta: 2 days, 10:26:47 batch_cost: 1.0630 data_cost: 0.0085 ips: 37.6281 images/s
[07/26 23:23:43] ppdet.engine INFO: Epoch: [45] [100/732] learning_rate: 0.188487 loss_vfl: 1.351032 loss_bbox: 0.771804 loss_dfl: 0.528301 loss: 2.673137 eta: 2 days, 10:26:22 batch_cost: 1.1081 data_cost: 0.0092 ips: 36.0981 images/s
[07/26 23:24:09] ppdet.engine INFO: Epoch: [45] [120/732] learning_rate: 0.188472 loss_vfl: 1.372935 loss_bbox: 0.792102 loss_dfl: 0.547711 loss: 2.731781 eta: 2 days, 10:25:55 batch_cost: 1.0820 data_cost: 0.0094 ips: 36.9691 images/s
[07/26 23:24:34] ppdet.engine INFO: Epoch: [45] [140/732] learning_rate: 0.188458 loss_vfl: 1.404544 loss_bbox: 0.814352 loss_dfl: 0.553029 loss: 2.758955 eta: 2 days, 10:25:23 batch_cost: 1.0491 data_cost: 0.0063 ips: 38.1297 images/s
[07/26 23:25:04] ppdet.engine INFO: Epoch: [45] [160/732] learning_rate: 0.188444 loss_vfl: 1.313753 loss_bbox: 0.733416 loss_dfl: 0.516679 loss: 2.556561 eta: 2 days, 10:25:19 batch_cost: 1.2908 data_cost: 0.0070 ips: 30.9881 images/s
[07/26 23:25:32] ppdet.engine INFO: Epoch: [45] [180/732] learning_rate: 0.188429 loss_vfl: 1.344792 loss_bbox: 0.772366 loss_dfl: 0.530479 loss: 2.658661 eta: 2 days, 10:24:59 batch_cost: 1.1494 data_cost: 0.0103 ips: 34.8016 images/s
[07/26 23:25:56] ppdet.engine INFO: Epoch: [45] [200/732] learning_rate: 0.188415 loss_vfl: 1.344788 loss_bbox: 0.762905 loss_dfl: 0.527368 loss: 2.666940 eta: 2 days, 10:24:26 batch_cost: 1.0335 data_cost: 0.0052 ips: 38.7026 images/s
[07/26 23:26:23] ppdet.engine INFO: Epoch: [45] [220/732] learning_rate: 0.188401 loss_vfl: 1.414115 loss_bbox: 0.786147 loss_dfl: 0.537224 loss: 2.737600 eta: 2 days, 10:24:05 batch_cost: 1.1407 data_cost: 0.0137 ips: 35.0651 images/s
[07/26 23:26:50] ppdet.engine INFO: Epoch: [45] [240/732] learning_rate: 0.188386 loss_vfl: 1.433691 loss_bbox: 0.808922 loss_dfl: 0.551668 loss: 2.837819 eta: 2 days, 10:23:43 batch_cost: 1.1320 data_cost: 0.0018 ips: 35.3352 images/s
[07/26 23:27:16] ppdet.engine INFO: Epoch: [45] [260/732] learning_rate: 0.188372 loss_vfl: 1.310456 loss_bbox: 0.751537 loss_dfl: 0.511249 loss: 2.582963 eta: 2 days, 10:23:19 batch_cost: 1.1177 data_cost: 0.0044 ips: 35.7865 images/s
[07/26 23:27:42] ppdet.engine INFO: Epoch: [45] [280/732] learning_rate: 0.188358 loss_vfl: 1.371776 loss_bbox: 0.777902 loss_dfl: 0.533560 loss: 2.673038 eta: 2 days, 10:22:55 batch_cost: 1.1124 data_cost: 0.0030 ips: 35.9577 images/s
[07/26 23:28:09] ppdet.engine INFO: Epoch: [45] [300/732] learning_rate: 0.188343 loss_vfl: 1.398396 loss_bbox: 0.797408 loss_dfl: 0.542211 loss: 2.752158 eta: 2 days, 10:22:23 batch_cost: 1.0461 data_cost: 0.0053 ips: 38.2384 images/s
[07/26 23:28:35] ppdet.engine INFO: Epoch: [45] [320/732] learning_rate: 0.188329 loss_vfl: 1.349590 loss_bbox: 0.767262 loss_dfl: 0.532282 loss: 2.652316 eta: 2 days, 10:21:58 batch_cost: 1.1097 data_cost: 0.0034 ips: 36.0465 images/s
[07/26 23:29:02] ppdet.engine INFO: Epoch: [45] [340/732] learning_rate: 0.188315 loss_vfl: 1.404904 loss_bbox: 0.800818 loss_dfl: 0.548452 loss: 2.772113 eta: 2 days, 10:21:35 batch_cost: 1.1200 data_cost: 0.0102 ips: 35.7142 images/s
[07/26 23:29:29] ppdet.engine INFO: Epoch: [45] [360/732] learning_rate: 0.188300 loss_vfl: 1.304437 loss_bbox: 0.754919 loss_dfl: 0.518048 loss: 2.576406 eta: 2 days, 10:21:15 batch_cost: 1.1525 data_cost: 0.0109 ips: 34.7084 images/s
[07/26 23:29:56] ppdet.engine INFO: Epoch: [45] [380/732] learning_rate: 0.188286 loss_vfl: 1.380678 loss_bbox: 0.773293 loss_dfl: 0.525160 loss: 2.674479 eta: 2 days, 10:20:48 batch_cost: 1.0841 data_cost: 0.0027 ips: 36.8967 images/s
[07/26 23:30:22] ppdet.engine INFO: Epoch: [45] [400/732] learning_rate: 0.188272 loss_vfl: 1.369873 loss_bbox: 0.768507 loss_dfl: 0.531318 loss: 2.690674 eta: 2 days, 10:20:21 batch_cost: 1.0860 data_cost: 0.0046 ips: 36.8309 images/s
[07/26 23:30:48] ppdet.engine INFO: Epoch: [45] [420/732] learning_rate: 0.188257 loss_vfl: 1.319829 loss_bbox: 0.766086 loss_dfl: 0.514215 loss: 2.614259 eta: 2 days, 10:19:50 batch_cost: 1.0547 data_cost: 0.0086 ips: 37.9267 images/s
[07/26 23:31:14] ppdet.engine INFO: Epoch: [45] [440/732] learning_rate: 0.188243 loss_vfl: 1.317133 loss_bbox: 0.762119 loss_dfl: 0.517929 loss: 2.620305 eta: 2 days, 10:19:21 batch_cost: 1.0733 data_cost: 0.0089 ips: 37.2688 images/s
[07/26 23:31:40] ppdet.engine INFO: Epoch: [45] [460/732] learning_rate: 0.188228 loss_vfl: 1.338087 loss_bbox: 0.737972 loss_dfl: 0.512030 loss: 2.580494 eta: 2 days, 10:18:52 batch_cost: 1.0658 data_cost: 0.0127 ips: 37.5296 images/s
[07/26 23:32:04] ppdet.engine INFO: Epoch: [45] [480/732] learning_rate: 0.188214 loss_vfl: 1.315476 loss_bbox: 0.748186 loss_dfl: 0.520053 loss: 2.584687 eta: 2 days, 10:18:06 batch_cost: 0.9158 data_cost: 0.0093 ips: 43.6760 images/s
[07/26 23:32:31] ppdet.engine INFO: Epoch: [45] [500/732] learning_rate: 0.188199 loss_vfl: 1.368575 loss_bbox: 0.805249 loss_dfl: 0.536070 loss: 2.706548 eta: 2 days, 10:17:41 batch_cost: 1.1054 data_cost: 0.0152 ips: 36.1860 images/s
[07/26 23:32:57] ppdet.engine INFO: Epoch: [45] [520/732] learning_rate: 0.188185 loss_vfl: 1.389235 loss_bbox: 0.800549 loss_dfl: 0.542636 loss: 2.752466 eta: 2 days, 10:17:11 batch_cost: 1.0653 data_cost: 0.0033 ips: 37.5469 images/s
[07/26 23:33:25] ppdet.engine INFO: Epoch: [45] [540/732] learning_rate: 0.188171 loss_vfl: 1.408846 loss_bbox: 0.810870 loss_dfl: 0.563002 loss: 2.784858 eta: 2 days, 10:16:55 batch_cost: 1.1826 data_cost: 0.0158 ips: 33.8225 images/s
[07/26 23:33:50] ppdet.engine INFO: Epoch: [45] [560/732] learning_rate: 0.188156 loss_vfl: 1.369106 loss_bbox: 0.761660 loss_dfl: 0.531253 loss: 2.675275 eta: 2 days, 10:16:24 batch_cost: 1.0543 data_cost: 0.0151 ips: 37.9408 images/s
[07/26 23:34:17] ppdet.engine INFO: Epoch: [45] [580/732] learning_rate: 0.188142 loss_vfl: 1.423693 loss_bbox: 0.811648 loss_dfl: 0.557016 loss: 2.772912 eta: 2 days, 10:15:58 batch_cost: 1.0935 data_cost: 0.0040 ips: 36.5804 images/s
[07/26 23:34:45] ppdet.engine INFO: Epoch: [45] [600/732] learning_rate: 0.188127 loss_vfl: 1.405596 loss_bbox: 0.788501 loss_dfl: 0.538917 loss: 2.705830 eta: 2 days, 10:15:40 batch_cost: 1.1684 data_cost: 0.0055 ips: 34.2358 images/s
[07/26 23:35:12] ppdet.engine INFO: Epoch: [45] [620/732] learning_rate: 0.188113 loss_vfl: 1.456632 loss_bbox: 0.807173 loss_dfl: 0.559380 loss: 2.809938 eta: 2 days, 10:15:07 batch_cost: 1.0292 data_cost: 0.0107 ips: 38.8668 images/s
[07/26 23:35:37] ppdet.engine INFO: Epoch: [45] [640/732] learning_rate: 0.188098 loss_vfl: 1.326909 loss_bbox: 0.764859 loss_dfl: 0.516424 loss: 2.584552 eta: 2 days, 10:14:38 batch_cost: 1.0765 data_cost: 0.0088 ips: 37.1590 images/s
[07/26 23:36:04] ppdet.engine INFO: Epoch: [45] [660/732] learning_rate: 0.188084 loss_vfl: 1.415316 loss_bbox: 0.819590 loss_dfl: 0.556999 loss: 2.811727 eta: 2 days, 10:14:11 batch_cost: 1.0825 data_cost: 0.0045 ips: 36.9527 images/s
[07/26 23:36:32] ppdet.engine INFO: Epoch: [45] [680/732] learning_rate: 0.188069 loss_vfl: 1.379942 loss_bbox: 0.770018 loss_dfl: 0.533775 loss: 2.713700 eta: 2 days, 10:13:58 batch_cost: 1.2183 data_cost: 0.0048 ips: 32.8322 images/s
[07/26 23:36:58] ppdet.engine INFO: Epoch: [45] [700/732] learning_rate: 0.188055 loss_vfl: 1.365759 loss_bbox: 0.777573 loss_dfl: 0.532310 loss: 2.675763 eta: 2 days, 10:13:27 batch_cost: 1.0483 data_cost: 0.0053 ips: 38.1581 images/s
[07/26 23:37:25] ppdet.engine INFO: Epoch: [45] [720/732] learning_rate: 0.188040 loss_vfl: 1.351891 loss_bbox: 0.749886 loss_dfl: 0.517796 loss: 2.610183 eta: 2 days, 10:13:05 batch_cost: 1.1326 data_cost: 0.0075 ips: 35.3161 images/s
[07/26 23:37:49] ppdet.engine INFO: Epoch: [46] [  0/732] learning_rate: 0.188031 loss_vfl: 1.269845 loss_bbox: 0.713452 loss_dfl: 0.481639 loss: 2.468264 eta: 2 days, 10:13:34 batch_cost: 1.4830 data_cost: 0.3513 ips: 26.9724 images/s
[07/26 23:38:17] ppdet.engine INFO: Epoch: [46] [ 20/732] learning_rate: 0.188017 loss_vfl: 1.411083 loss_bbox: 0.793646 loss_dfl: 0.553096 loss: 2.771549 eta: 2 days, 10:13:13 batch_cost: 1.1383 data_cost: 0.0032 ips: 35.1411 images/s
[07/26 23:38:45] ppdet.engine INFO: Epoch: [46] [ 40/732] learning_rate: 0.188002 loss_vfl: 1.357101 loss_bbox: 0.775323 loss_dfl: 0.527772 loss: 2.656543 eta: 2 days, 10:12:54 batch_cost: 1.1587 data_cost: 0.0072 ips: 34.5202 images/s
[07/26 23:39:13] ppdet.engine INFO: Epoch: [46] [ 60/732] learning_rate: 0.187988 loss_vfl: 1.349022 loss_bbox: 0.770184 loss_dfl: 0.531625 loss: 2.656320 eta: 2 days, 10:12:28 batch_cost: 1.0941 data_cost: 0.0025 ips: 36.5587 images/s
[07/26 23:39:42] ppdet.engine INFO: Epoch: [46] [ 80/732] learning_rate: 0.187973 loss_vfl: 1.336684 loss_bbox: 0.749111 loss_dfl: 0.514045 loss: 2.597344 eta: 2 days, 10:12:10 batch_cost: 1.1725 data_cost: 0.0065 ips: 34.1146 images/s
[07/26 23:40:07] ppdet.engine INFO: Epoch: [46] [100/732] learning_rate: 0.187959 loss_vfl: 1.346627 loss_bbox: 0.770887 loss_dfl: 0.526996 loss: 2.658138 eta: 2 days, 10:11:45 batch_cost: 1.1038 data_cost: 0.0033 ips: 36.2373 images/s
[07/26 23:40:37] ppdet.engine INFO: Epoch: [46] [120/732] learning_rate: 0.187944 loss_vfl: 1.396964 loss_bbox: 0.775883 loss_dfl: 0.527588 loss: 2.690505 eta: 2 days, 10:11:35 batch_cost: 1.2446 data_cost: 0.0035 ips: 32.1381 images/s
[07/26 23:41:04] ppdet.engine INFO: Epoch: [46] [140/732] learning_rate: 0.187929 loss_vfl: 1.338264 loss_bbox: 0.757014 loss_dfl: 0.530595 loss: 2.647711 eta: 2 days, 10:11:18 batch_cost: 1.1740 data_cost: 0.0050 ips: 34.0715 images/s
[07/26 23:41:32] ppdet.engine INFO: Epoch: [46] [160/732] learning_rate: 0.187915 loss_vfl: 1.397592 loss_bbox: 0.780929 loss_dfl: 0.540670 loss: 2.704537 eta: 2 days, 10:10:58 batch_cost: 1.1551 data_cost: 0.0074 ips: 34.6285 images/s
[07/26 23:41:59] ppdet.engine INFO: Epoch: [46] [180/732] learning_rate: 0.187900 loss_vfl: 1.389365 loss_bbox: 0.823196 loss_dfl: 0.556147 loss: 2.784961 eta: 2 days, 10:10:40 batch_cost: 1.1642 data_cost: 0.0021 ips: 34.3587 images/s
[07/26 23:42:27] ppdet.engine INFO: Epoch: [46] [200/732] learning_rate: 0.187886 loss_vfl: 1.352641 loss_bbox: 0.748377 loss_dfl: 0.520434 loss: 2.605149 eta: 2 days, 10:10:25 batch_cost: 1.2022 data_cost: 0.0057 ips: 33.2720 images/s
[07/26 23:42:54] ppdet.engine INFO: Epoch: [46] [220/732] learning_rate: 0.187871 loss_vfl: 1.366395 loss_bbox: 0.772110 loss_dfl: 0.525115 loss: 2.668067 eta: 2 days, 10:10:06 batch_cost: 1.1590 data_cost: 0.0091 ips: 34.5117 images/s
[07/26 23:43:22] ppdet.engine INFO: Epoch: [46] [240/732] learning_rate: 0.187856 loss_vfl: 1.389887 loss_bbox: 0.776368 loss_dfl: 0.536711 loss: 2.695418 eta: 2 days, 10:09:50 batch_cost: 1.1834 data_cost: 0.0059 ips: 33.8005 images/s
[07/26 23:43:50] ppdet.engine INFO: Epoch: [46] [260/732] learning_rate: 0.187842 loss_vfl: 1.358526 loss_bbox: 0.737127 loss_dfl: 0.508231 loss: 2.607387 eta: 2 days, 10:09:29 batch_cost: 1.1435 data_cost: 0.0088 ips: 34.9801 images/s
[07/26 23:44:15] ppdet.engine INFO: Epoch: [46] [280/732] learning_rate: 0.187827 loss_vfl: 1.357562 loss_bbox: 0.764663 loss_dfl: 0.527195 loss: 2.650700 eta: 2 days, 10:09:04 batch_cost: 1.1000 data_cost: 0.0060 ips: 36.3640 images/s
[07/26 23:44:42] ppdet.engine INFO: Epoch: [46] [300/732] learning_rate: 0.187812 loss_vfl: 1.333203 loss_bbox: 0.771844 loss_dfl: 0.515156 loss: 2.626825 eta: 2 days, 10:08:39 batch_cost: 1.1098 data_cost: 0.0056 ips: 36.0412 images/s
[07/26 23:45:07] ppdet.engine INFO: Epoch: [46] [320/732] learning_rate: 0.187798 loss_vfl: 1.355267 loss_bbox: 0.765979 loss_dfl: 0.530705 loss: 2.651948 eta: 2 days, 10:08:01 batch_cost: 0.9866 data_cost: 0.0014 ips: 40.5415 images/s
[07/26 23:45:34] ppdet.engine INFO: Epoch: [46] [340/732] learning_rate: 0.187783 loss_vfl: 1.342433 loss_bbox: 0.755280 loss_dfl: 0.523355 loss: 2.597914 eta: 2 days, 10:07:47 batch_cost: 1.2009 data_cost: 0.0077 ips: 33.3087 images/s
[07/26 23:46:01] ppdet.engine INFO: Epoch: [46] [360/732] learning_rate: 0.187768 loss_vfl: 1.363908 loss_bbox: 0.795855 loss_dfl: 0.544481 loss: 2.704244 eta: 2 days, 10:07:24 batch_cost: 1.1273 data_cost: 0.0096 ips: 35.4823 images/s
[07/26 23:46:29] ppdet.engine INFO: Epoch: [46] [380/732] learning_rate: 0.187754 loss_vfl: 1.333237 loss_bbox: 0.753023 loss_dfl: 0.520116 loss: 2.619928 eta: 2 days, 10:07:03 batch_cost: 1.1429 data_cost: 0.0078 ips: 34.9974 images/s
[07/26 23:46:55] ppdet.engine INFO: Epoch: [46] [400/732] learning_rate: 0.187739 loss_vfl: 1.359240 loss_bbox: 0.775203 loss_dfl: 0.536983 loss: 2.670203 eta: 2 days, 10:06:34 batch_cost: 1.0691 data_cost: 0.0041 ips: 37.4154 images/s
[07/26 23:47:23] ppdet.engine INFO: Epoch: [46] [420/732] learning_rate: 0.187724 loss_vfl: 1.376900 loss_bbox: 0.803310 loss_dfl: 0.550691 loss: 2.741729 eta: 2 days, 10:06:16 batch_cost: 1.1644 data_cost: 0.0043 ips: 34.3539 images/s
[07/26 23:47:49] ppdet.engine INFO: Epoch: [46] [440/732] learning_rate: 0.187710 loss_vfl: 1.329052 loss_bbox: 0.751892 loss_dfl: 0.515859 loss: 2.586923 eta: 2 days, 10:05:47 batch_cost: 1.0763 data_cost: 0.0086 ips: 37.1641 images/s
[07/26 23:48:15] ppdet.engine INFO: Epoch: [46] [460/732] learning_rate: 0.187695 loss_vfl: 1.398561 loss_bbox: 0.789987 loss_dfl: 0.537765 loss: 2.720274 eta: 2 days, 10:05:17 batch_cost: 1.0573 data_cost: 0.0064 ips: 37.8327 images/s
[07/26 23:48:43] ppdet.engine INFO: Epoch: [46] [480/732] learning_rate: 0.187680 loss_vfl: 1.331789 loss_bbox: 0.762995 loss_dfl: 0.525280 loss: 2.627841 eta: 2 days, 10:05:00 batch_cost: 1.1726 data_cost: 0.0070 ips: 34.1121 images/s
[07/26 23:49:10] ppdet.engine INFO: Epoch: [46] [500/732] learning_rate: 0.187665 loss_vfl: 1.403844 loss_bbox: 0.790348 loss_dfl: 0.533495 loss: 2.699130 eta: 2 days, 10:04:40 batch_cost: 1.1572 data_cost: 0.0107 ips: 34.5676 images/s
[07/26 23:49:37] ppdet.engine INFO: Epoch: [46] [520/732] learning_rate: 0.187651 loss_vfl: 1.327981 loss_bbox: 0.756031 loss_dfl: 0.520028 loss: 2.604040 eta: 2 days, 10:04:17 batch_cost: 1.1168 data_cost: 0.0069 ips: 35.8156 images/s
[07/26 23:50:03] ppdet.engine INFO: Epoch: [46] [540/732] learning_rate: 0.187636 loss_vfl: 1.352977 loss_bbox: 0.788430 loss_dfl: 0.542520 loss: 2.684154 eta: 2 days, 10:03:44 batch_cost: 1.0308 data_cost: 0.0088 ips: 38.8047 images/s
[07/26 23:50:30] ppdet.engine INFO: Epoch: [46] [560/732] learning_rate: 0.187621 loss_vfl: 1.389971 loss_bbox: 0.797577 loss_dfl: 0.547549 loss: 2.739011 eta: 2 days, 10:03:24 batch_cost: 1.1518 data_cost: 0.0080 ips: 34.7278 images/s
[07/26 23:50:55] ppdet.engine INFO: Epoch: [46] [580/732] learning_rate: 0.187606 loss_vfl: 1.367541 loss_bbox: 0.797038 loss_dfl: 0.540816 loss: 2.726286 eta: 2 days, 10:02:53 batch_cost: 1.0533 data_cost: 0.0010 ips: 37.9762 images/s
[07/26 23:51:22] ppdet.engine INFO: Epoch: [46] [600/732] learning_rate: 0.187592 loss_vfl: 1.349663 loss_bbox: 0.773170 loss_dfl: 0.522832 loss: 2.619491 eta: 2 days, 10:02:30 batch_cost: 1.1271 data_cost: 0.0075 ips: 35.4888 images/s
[07/26 23:51:50] ppdet.engine INFO: Epoch: [46] [620/732] learning_rate: 0.187577 loss_vfl: 1.350016 loss_bbox: 0.756080 loss_dfl: 0.517502 loss: 2.584704 eta: 2 days, 10:02:15 batch_cost: 1.1944 data_cost: 0.0080 ips: 33.4885 images/s
[07/26 23:52:16] ppdet.engine INFO: Epoch: [46] [640/732] learning_rate: 0.187562 loss_vfl: 1.391623 loss_bbox: 0.770830 loss_dfl: 0.534971 loss: 2.708922 eta: 2 days, 10:01:49 batch_cost: 1.0897 data_cost: 0.0089 ips: 36.7070 images/s
[07/26 23:52:43] ppdet.engine INFO: Epoch: [46] [660/732] learning_rate: 0.187547 loss_vfl: 1.387816 loss_bbox: 0.790220 loss_dfl: 0.531057 loss: 2.695427 eta: 2 days, 10:01:32 batch_cost: 1.1797 data_cost: 0.0152 ips: 33.9061 images/s
[07/26 23:53:09] ppdet.engine INFO: Epoch: [46] [680/732] learning_rate: 0.187533 loss_vfl: 1.273294 loss_bbox: 0.739049 loss_dfl: 0.491009 loss: 2.505219 eta: 2 days, 10:01:07 batch_cost: 1.1129 data_cost: 0.0036 ips: 35.9430 images/s
[07/26 23:53:36] ppdet.engine INFO: Epoch: [46] [700/732] learning_rate: 0.187518 loss_vfl: 1.380323 loss_bbox: 0.779436 loss_dfl: 0.537402 loss: 2.719000 eta: 2 days, 10:00:43 batch_cost: 1.1139 data_cost: 0.0062 ips: 35.9085 images/s
[07/26 23:54:01] ppdet.engine INFO: Epoch: [46] [720/732] learning_rate: 0.187503 loss_vfl: 1.316106 loss_bbox: 0.755721 loss_dfl: 0.530337 loss: 2.630874 eta: 2 days, 10:00:13 batch_cost: 1.0563 data_cost: 0.0046 ips: 37.8668 images/s
[07/26 23:54:23] ppdet.engine INFO: Epoch: [47] [  0/732] learning_rate: 0.187494 loss_vfl: 1.345890 loss_bbox: 0.800969 loss_dfl: 0.545478 loss: 2.686483 eta: 2 days, 10:00:32 batch_cost: 1.3656 data_cost: 0.5363 ips: 29.2914 images/s
[07/26 23:54:53] ppdet.engine INFO: Epoch: [47] [ 20/732] learning_rate: 0.187479 loss_vfl: 1.336901 loss_bbox: 0.770868 loss_dfl: 0.527554 loss: 2.650148 eta: 2 days, 10:00:30 batch_cost: 1.3147 data_cost: 0.0113 ips: 30.4256 images/s
[07/26 23:55:20] ppdet.engine INFO: Epoch: [47] [ 40/732] learning_rate: 0.187464 loss_vfl: 1.352313 loss_bbox: 0.786417 loss_dfl: 0.537207 loss: 2.669309 eta: 2 days, 10:00:10 batch_cost: 1.1519 data_cost: 0.0075 ips: 34.7241 images/s
[07/26 23:55:48] ppdet.engine INFO: Epoch: [47] [ 60/732] learning_rate: 0.187449 loss_vfl: 1.419219 loss_bbox: 0.784524 loss_dfl: 0.537075 loss: 2.715383 eta: 2 days, 9:59:55 batch_cost: 1.2058 data_cost: 0.0077 ips: 33.1731 images/s
[07/26 23:56:15] ppdet.engine INFO: Epoch: [47] [ 80/732] learning_rate: 0.187435 loss_vfl: 1.405396 loss_bbox: 0.792342 loss_dfl: 0.545953 loss: 2.720832 eta: 2 days, 9:59:38 batch_cost: 1.1764 data_cost: 0.0141 ips: 34.0033 images/s
[07/26 23:56:41] ppdet.engine INFO: Epoch: [47] [100/732] learning_rate: 0.187420 loss_vfl: 1.368884 loss_bbox: 0.780924 loss_dfl: 0.533779 loss: 2.685899 eta: 2 days, 9:59:11 batch_cost: 1.0817 data_cost: 0.0072 ips: 36.9796 images/s
[07/26 23:57:07] ppdet.engine INFO: Epoch: [47] [120/732] learning_rate: 0.187405 loss_vfl: 1.391521 loss_bbox: 0.788737 loss_dfl: 0.538121 loss: 2.710039 eta: 2 days, 9:58:45 batch_cost: 1.1030 data_cost: 0.0101 ips: 36.2637 images/s
[07/26 23:57:34] ppdet.engine INFO: Epoch: [47] [140/732] learning_rate: 0.187390 loss_vfl: 1.414695 loss_bbox: 0.802537 loss_dfl: 0.553941 loss: 2.778887 eta: 2 days, 9:58:25 batch_cost: 1.1468 data_cost: 0.0065 ips: 34.8802 images/s
[07/26 23:58:00] ppdet.engine INFO: Epoch: [47] [160/732] learning_rate: 0.187375 loss_vfl: 1.402635 loss_bbox: 0.799998 loss_dfl: 0.545688 loss: 2.735340 eta: 2 days, 9:58:01 batch_cost: 1.1174 data_cost: 0.0072 ips: 35.7978 images/s
[07/26 23:58:26] ppdet.engine INFO: Epoch: [47] [180/732] learning_rate: 0.187360 loss_vfl: 1.361460 loss_bbox: 0.808037 loss_dfl: 0.540744 loss: 2.672107 eta: 2 days, 9:57:37 batch_cost: 1.1116 data_cost: 0.0075 ips: 35.9826 images/s
[07/26 23:58:53] ppdet.engine INFO: Epoch: [47] [200/732] learning_rate: 0.187345 loss_vfl: 1.322992 loss_bbox: 0.780474 loss_dfl: 0.532210 loss: 2.643634 eta: 2 days, 9:57:15 batch_cost: 1.1326 data_cost: 0.0079 ips: 35.3156 images/s
[07/26 23:59:20] ppdet.engine INFO: Epoch: [47] [220/732] learning_rate: 0.187330 loss_vfl: 1.312574 loss_bbox: 0.739349 loss_dfl: 0.513407 loss: 2.574200 eta: 2 days, 9:56:57 batch_cost: 1.1668 data_cost: 0.0048 ips: 34.2830 images/s
[07/26 23:59:47] ppdet.engine INFO: Epoch: [47] [240/732] learning_rate: 0.187315 loss_vfl: 1.374030 loss_bbox: 0.777475 loss_dfl: 0.531486 loss: 2.664231 eta: 2 days, 9:56:39 batch_cost: 1.1786 data_cost: 0.0070 ips: 33.9377 images/s
[07/27 00:00:15] ppdet.engine INFO: Epoch: [47] [260/732] learning_rate: 0.187300 loss_vfl: 1.393671 loss_bbox: 0.789201 loss_dfl: 0.535391 loss: 2.712903 eta: 2 days, 9:56:19 batch_cost: 1.1523 data_cost: 0.0060 ips: 34.7122 images/s
[07/27 00:00:40] ppdet.engine INFO: Epoch: [47] [280/732] learning_rate: 0.187286 loss_vfl: 1.309135 loss_bbox: 0.737312 loss_dfl: 0.507889 loss: 2.589275 eta: 2 days, 9:55:48 batch_cost: 1.0471 data_cost: 0.0098 ips: 38.1992 images/s
[07/27 00:01:07] ppdet.engine INFO: Epoch: [47] [300/732] learning_rate: 0.187271 loss_vfl: 1.346577 loss_bbox: 0.771102 loss_dfl: 0.526034 loss: 2.658564 eta: 2 days, 9:55:28 batch_cost: 1.1466 data_cost: 0.0033 ips: 34.8858 images/s
[07/27 00:01:34] ppdet.engine INFO: Epoch: [47] [320/732] learning_rate: 0.187256 loss_vfl: 1.395550 loss_bbox: 0.787910 loss_dfl: 0.534301 loss: 2.684927 eta: 2 days, 9:55:11 batch_cost: 1.1800 data_cost: 0.0041 ips: 33.8989 images/s
[07/27 00:02:00] ppdet.engine INFO: Epoch: [47] [340/732] learning_rate: 0.187241 loss_vfl: 1.354395 loss_bbox: 0.809253 loss_dfl: 0.548975 loss: 2.726365 eta: 2 days, 9:54:51 batch_cost: 1.1565 data_cost: 0.0134 ips: 34.5867 images/s
[07/27 00:02:27] ppdet.engine INFO: Epoch: [47] [360/732] learning_rate: 0.187226 loss_vfl: 1.370617 loss_bbox: 0.771065 loss_dfl: 0.526841 loss: 2.683403 eta: 2 days, 9:54:38 batch_cost: 1.2161 data_cost: 0.0082 ips: 32.8916 images/s
[07/27 00:02:54] ppdet.engine INFO: Epoch: [47] [380/732] learning_rate: 0.187211 loss_vfl: 1.363607 loss_bbox: 0.780792 loss_dfl: 0.541224 loss: 2.711607 eta: 2 days, 9:54:21 batch_cost: 1.1759 data_cost: 0.0093 ips: 34.0162 images/s
[07/27 00:03:20] ppdet.engine INFO: Epoch: [47] [400/732] learning_rate: 0.187196 loss_vfl: 1.315875 loss_bbox: 0.744930 loss_dfl: 0.519319 loss: 2.605580 eta: 2 days, 9:53:55 batch_cost: 1.1025 data_cost: 0.0040 ips: 36.2806 images/s
[07/27 00:03:47] ppdet.engine INFO: Epoch: [47] [420/732] learning_rate: 0.187181 loss_vfl: 1.310766 loss_bbox: 0.757040 loss_dfl: 0.522956 loss: 2.619761 eta: 2 days, 9:53:35 batch_cost: 1.1523 data_cost: 0.0075 ips: 34.7144 images/s
[07/27 00:04:15] ppdet.engine INFO: Epoch: [47] [440/732] learning_rate: 0.187166 loss_vfl: 1.376123 loss_bbox: 0.771708 loss_dfl: 0.534234 loss: 2.691371 eta: 2 days, 9:53:15 batch_cost: 1.1491 data_cost: 0.0050 ips: 34.8091 images/s
[07/27 00:04:41] ppdet.engine INFO: Epoch: [47] [460/732] learning_rate: 0.187151 loss_vfl: 1.366598 loss_bbox: 0.771830 loss_dfl: 0.525064 loss: 2.656454 eta: 2 days, 9:52:49 batch_cost: 1.0932 data_cost: 0.0051 ips: 36.5910 images/s
[07/27 00:05:08] ppdet.engine INFO: Epoch: [47] [480/732] learning_rate: 0.187136 loss_vfl: 1.394088 loss_bbox: 0.788361 loss_dfl: 0.545724 loss: 2.761910 eta: 2 days, 9:52:28 batch_cost: 1.1411 data_cost: 0.0061 ips: 35.0536 images/s
[07/27 00:05:33] ppdet.engine INFO: Epoch: [47] [500/732] learning_rate: 0.187121 loss_vfl: 1.333592 loss_bbox: 0.743060 loss_dfl: 0.520643 loss: 2.636406 eta: 2 days, 9:51:57 batch_cost: 1.0519 data_cost: 0.0093 ips: 38.0275 images/s
[07/27 00:05:59] ppdet.engine INFO: Epoch: [47] [520/732] learning_rate: 0.187106 loss_vfl: 1.350145 loss_bbox: 0.760764 loss_dfl: 0.526829 loss: 2.658402 eta: 2 days, 9:51:33 batch_cost: 1.1108 data_cost: 0.0105 ips: 36.0087 images/s
[07/27 00:06:26] ppdet.engine INFO: Epoch: [47] [540/732] learning_rate: 0.187091 loss_vfl: 1.369372 loss_bbox: 0.766477 loss_dfl: 0.526414 loss: 2.697376 eta: 2 days, 9:51:14 batch_cost: 1.1668 data_cost: 0.0055 ips: 34.2806 images/s
[07/27 00:06:52] ppdet.engine INFO: Epoch: [47] [560/732] learning_rate: 0.187075 loss_vfl: 1.309951 loss_bbox: 0.738817 loss_dfl: 0.512662 loss: 2.578979 eta: 2 days, 9:50:47 batch_cost: 1.0867 data_cost: 0.0032 ips: 36.8079 images/s
[07/27 00:07:19] ppdet.engine INFO: Epoch: [47] [580/732] learning_rate: 0.187060 loss_vfl: 1.354265 loss_bbox: 0.770984 loss_dfl: 0.530287 loss: 2.685799 eta: 2 days, 9:50:23 batch_cost: 1.1090 data_cost: 0.0070 ips: 36.0681 images/s
[07/27 00:07:44] ppdet.engine INFO: Epoch: [47] [600/732] learning_rate: 0.187045 loss_vfl: 1.316052 loss_bbox: 0.780116 loss_dfl: 0.521318 loss: 2.618845 eta: 2 days, 9:49:49 batch_cost: 1.0210 data_cost: 0.0074 ips: 39.1780 images/s
[07/27 00:08:12] ppdet.engine INFO: Epoch: [47] [620/732] learning_rate: 0.187030 loss_vfl: 1.364829 loss_bbox: 0.778340 loss_dfl: 0.539265 loss: 2.708646 eta: 2 days, 9:49:28 batch_cost: 1.1450 data_cost: 0.0057 ips: 34.9350 images/s
[07/27 00:08:38] ppdet.engine INFO: Epoch: [47] [640/732] learning_rate: 0.187015 loss_vfl: 1.335227 loss_bbox: 0.777200 loss_dfl: 0.530044 loss: 2.637329 eta: 2 days, 9:49:03 batch_cost: 1.1064 data_cost: 0.0085 ips: 36.1533 images/s
[07/27 00:09:04] ppdet.engine INFO: Epoch: [47] [660/732] learning_rate: 0.187000 loss_vfl: 1.403234 loss_bbox: 0.795505 loss_dfl: 0.548002 loss: 2.759374 eta: 2 days, 9:48:34 batch_cost: 1.0621 data_cost: 0.0059 ips: 37.6598 images/s
[07/27 00:09:30] ppdet.engine INFO: Epoch: [47] [680/732] learning_rate: 0.186985 loss_vfl: 1.317643 loss_bbox: 0.762259 loss_dfl: 0.514748 loss: 2.580016 eta: 2 days, 9:48:12 batch_cost: 1.1341 data_cost: 0.0062 ips: 35.2708 images/s
[07/27 00:09:56] ppdet.engine INFO: Epoch: [47] [700/732] learning_rate: 0.186970 loss_vfl: 1.388948 loss_bbox: 0.794718 loss_dfl: 0.552435 loss: 2.742673 eta: 2 days, 9:47:48 batch_cost: 1.1103 data_cost: 0.0052 ips: 36.0255 images/s
[07/27 00:10:21] ppdet.engine INFO: Epoch: [47] [720/732] learning_rate: 0.186955 loss_vfl: 1.379712 loss_bbox: 0.830583 loss_dfl: 0.557288 loss: 2.806185 eta: 2 days, 9:47:13 batch_cost: 1.0086 data_cost: 0.0205 ips: 39.6586 images/s
[07/27 00:10:44] ppdet.engine INFO: Epoch: [48] [  0/732] learning_rate: 0.186946 loss_vfl: 1.413565 loss_bbox: 0.816218 loss_dfl: 0.556529 loss: 2.784323 eta: 2 days, 9:47:31 batch_cost: 1.4499 data_cost: 0.4803 ips: 27.5885 images/s
[07/27 00:11:14] ppdet.engine INFO: Epoch: [48] [ 20/732] learning_rate: 0.186931 loss_vfl: 1.344982 loss_bbox: 0.792398 loss_dfl: 0.535649 loss: 2.651816 eta: 2 days, 9:47:29 batch_cost: 1.3271 data_cost: 0.0312 ips: 30.1403 images/s
[07/27 00:11:42] ppdet.engine INFO: Epoch: [48] [ 40/732] learning_rate: 0.186915 loss_vfl: 1.337470 loss_bbox: 0.757606 loss_dfl: 0.531344 loss: 2.625680 eta: 2 days, 9:47:17 batch_cost: 1.2312 data_cost: 0.0022 ips: 32.4874 images/s
[07/27 00:12:09] ppdet.engine INFO: Epoch: [48] [ 60/732] learning_rate: 0.186900 loss_vfl: 1.374717 loss_bbox: 0.787237 loss_dfl: 0.546391 loss: 2.701047 eta: 2 days, 9:46:51 batch_cost: 1.0919 data_cost: 0.0089 ips: 36.6328 images/s
[07/27 00:12:37] ppdet.engine INFO: Epoch: [48] [ 80/732] learning_rate: 0.186885 loss_vfl: 1.317054 loss_bbox: 0.738623 loss_dfl: 0.513168 loss: 2.593802 eta: 2 days, 9:46:36 batch_cost: 1.1981 data_cost: 0.0045 ips: 33.3855 images/s
[07/27 00:13:01] ppdet.engine INFO: Epoch: [48] [100/732] learning_rate: 0.186870 loss_vfl: 1.381123 loss_bbox: 0.773093 loss_dfl: 0.527308 loss: 2.674758 eta: 2 days, 9:46:03 batch_cost: 1.0325 data_cost: 0.0027 ips: 38.7408 images/s
[07/27 00:13:29] ppdet.engine INFO: Epoch: [48] [120/732] learning_rate: 0.186855 loss_vfl: 1.331742 loss_bbox: 0.764065 loss_dfl: 0.524656 loss: 2.638908 eta: 2 days, 9:45:45 batch_cost: 1.1730 data_cost: 0.0075 ips: 34.1000 images/s
[07/27 00:13:56] ppdet.engine INFO: Epoch: [48] [140/732] learning_rate: 0.186840 loss_vfl: 1.349363 loss_bbox: 0.770966 loss_dfl: 0.532662 loss: 2.660584 eta: 2 days, 9:45:28 batch_cost: 1.1780 data_cost: 0.0120 ips: 33.9552 images/s
[07/27 00:14:23] ppdet.engine INFO: Epoch: [48] [160/732] learning_rate: 0.186824 loss_vfl: 1.383796 loss_bbox: 0.786716 loss_dfl: 0.532872 loss: 2.676605 eta: 2 days, 9:45:12 batch_cost: 1.1882 data_cost: 0.0061 ips: 33.6632 images/s
[07/27 00:14:51] ppdet.engine INFO: Epoch: [48] [180/732] learning_rate: 0.186809 loss_vfl: 1.330516 loss_bbox: 0.741411 loss_dfl: 0.515007 loss: 2.626999 eta: 2 days, 9:44:56 batch_cost: 1.1973 data_cost: 0.0049 ips: 33.4096 images/s
[07/27 00:15:18] ppdet.engine INFO: Epoch: [48] [200/732] learning_rate: 0.186794 loss_vfl: 1.340087 loss_bbox: 0.758165 loss_dfl: 0.525129 loss: 2.618331 eta: 2 days, 9:44:37 batch_cost: 1.1600 data_cost: 0.0044 ips: 34.4825 images/s
[07/27 00:15:46] ppdet.engine INFO: Epoch: [48] [220/732] learning_rate: 0.186779 loss_vfl: 1.401524 loss_bbox: 0.778915 loss_dfl: 0.540483 loss: 2.692205 eta: 2 days, 9:44:22 batch_cost: 1.1987 data_cost: 0.0044 ips: 33.3705 images/s
[07/27 00:16:12] ppdet.engine INFO: Epoch: [48] [240/732] learning_rate: 0.186764 loss_vfl: 1.354599 loss_bbox: 0.787876 loss_dfl: 0.533929 loss: 2.634339 eta: 2 days, 9:43:56 batch_cost: 1.0982 data_cost: 0.0050 ips: 36.4228 images/s
[07/27 00:16:38] ppdet.engine INFO: Epoch: [48] [260/732] learning_rate: 0.186748 loss_vfl: 1.397214 loss_bbox: 0.765697 loss_dfl: 0.531138 loss: 2.691188 eta: 2 days, 9:43:30 batch_cost: 1.0947 data_cost: 0.0044 ips: 36.5384 images/s
[07/27 00:17:02] ppdet.engine INFO: Epoch: [48] [280/732] learning_rate: 0.186733 loss_vfl: 1.407126 loss_bbox: 0.799967 loss_dfl: 0.546205 loss: 2.747071 eta: 2 days, 9:42:50 batch_cost: 0.9638 data_cost: 0.0076 ips: 41.5003 images/s
[07/27 00:17:31] ppdet.engine INFO: Epoch: [48] [300/732] learning_rate: 0.186718 loss_vfl: 1.346235 loss_bbox: 0.780964 loss_dfl: 0.523950 loss: 2.673171 eta: 2 days, 9:42:42 batch_cost: 1.2605 data_cost: 0.0032 ips: 31.7338 images/s
[07/27 00:17:57] ppdet.engine INFO: Epoch: [48] [320/732] learning_rate: 0.186703 loss_vfl: 1.412939 loss_bbox: 0.799002 loss_dfl: 0.543526 loss: 2.763558 eta: 2 days, 9:42:17 batch_cost: 1.1073 data_cost: 0.0058 ips: 36.1229 images/s
[07/27 00:18:24] ppdet.engine INFO: Epoch: [48] [340/732] learning_rate: 0.186687 loss_vfl: 1.373563 loss_bbox: 0.758754 loss_dfl: 0.525622 loss: 2.685544 eta: 2 days, 9:41:56 batch_cost: 1.1414 data_cost: 0.0089 ips: 35.0442 images/s
[07/27 00:18:51] ppdet.engine INFO: Epoch: [48] [360/732] learning_rate: 0.186672 loss_vfl: 1.344082 loss_bbox: 0.737955 loss_dfl: 0.507322 loss: 2.575956 eta: 2 days, 9:41:36 batch_cost: 1.1588 data_cost: 0.0046 ips: 34.5189 images/s
[07/27 00:19:18] ppdet.engine INFO: Epoch: [48] [380/732] learning_rate: 0.186657 loss_vfl: 1.407651 loss_bbox: 0.795999 loss_dfl: 0.545051 loss: 2.727307 eta: 2 days, 9:41:20 batch_cost: 1.1853 data_cost: 0.0055 ips: 33.7481 images/s
[07/27 00:19:45] ppdet.engine INFO: Epoch: [48] [400/732] learning_rate: 0.186641 loss_vfl: 1.379001 loss_bbox: 0.791990 loss_dfl: 0.543082 loss: 2.705094 eta: 2 days, 9:41:00 batch_cost: 1.1597 data_cost: 0.0029 ips: 34.4911 images/s
[07/27 00:20:10] ppdet.engine INFO: Epoch: [48] [420/732] learning_rate: 0.186626 loss_vfl: 1.354379 loss_bbox: 0.779121 loss_dfl: 0.524814 loss: 2.663744 eta: 2 days, 9:40:30 batch_cost: 1.0515 data_cost: 0.0117 ips: 38.0412 images/s
[07/27 00:20:39] ppdet.engine INFO: Epoch: [48] [440/732] learning_rate: 0.186611 loss_vfl: 1.391142 loss_bbox: 0.806201 loss_dfl: 0.557922 loss: 2.764293 eta: 2 days, 9:40:17 batch_cost: 1.2211 data_cost: 0.0028 ips: 32.7585 images/s
[07/27 00:21:04] ppdet.engine INFO: Epoch: [48] [460/732] learning_rate: 0.186596 loss_vfl: 1.336910 loss_bbox: 0.751442 loss_dfl: 0.521936 loss: 2.611845 eta: 2 days, 9:39:50 batch_cost: 1.0823 data_cost: 0.0054 ips: 36.9596 images/s
[07/27 00:21:29] ppdet.engine INFO: Epoch: [48] [480/732] learning_rate: 0.186580 loss_vfl: 1.378095 loss_bbox: 0.799819 loss_dfl: 0.545845 loss: 2.741236 eta: 2 days, 9:39:15 batch_cost: 1.0124 data_cost: 0.0055 ips: 39.5111 images/s
[07/27 00:21:56] ppdet.engine INFO: Epoch: [48] [500/732] learning_rate: 0.186565 loss_vfl: 1.328539 loss_bbox: 0.770616 loss_dfl: 0.526096 loss: 2.637463 eta: 2 days, 9:38:53 batch_cost: 1.1361 data_cost: 0.0070 ips: 35.2096 images/s
[07/27 00:22:20] ppdet.engine INFO: Epoch: [48] [520/732] learning_rate: 0.186550 loss_vfl: 1.338244 loss_bbox: 0.772934 loss_dfl: 0.522760 loss: 2.652551 eta: 2 days, 9:38:20 batch_cost: 1.0230 data_cost: 0.0134 ips: 39.1010 images/s
[07/27 00:22:46] ppdet.engine INFO: Epoch: [48] [540/732] learning_rate: 0.186534 loss_vfl: 1.342742 loss_bbox: 0.794921 loss_dfl: 0.542112 loss: 2.694863 eta: 2 days, 9:37:49 batch_cost: 1.0455 data_cost: 0.0028 ips: 38.2596 images/s
[07/27 00:23:13] ppdet.engine INFO: Epoch: [48] [560/732] learning_rate: 0.186519 loss_vfl: 1.407998 loss_bbox: 0.784870 loss_dfl: 0.543248 loss: 2.768700 eta: 2 days, 9:37:31 batch_cost: 1.1700 data_cost: 0.0085 ips: 34.1871 images/s
[07/27 00:23:38] ppdet.engine INFO: Epoch: [48] [580/732] learning_rate: 0.186503 loss_vfl: 1.347927 loss_bbox: 0.766322 loss_dfl: 0.520893 loss: 2.625647 eta: 2 days, 9:36:59 batch_cost: 1.0354 data_cost: 0.0053 ips: 38.6342 images/s
[07/27 00:24:06] ppdet.engine INFO: Epoch: [48] [600/732] learning_rate: 0.186488 loss_vfl: 1.375939 loss_bbox: 0.758923 loss_dfl: 0.538307 loss: 2.719379 eta: 2 days, 9:36:39 batch_cost: 1.1603 data_cost: 0.0064 ips: 34.4744 images/s
[07/27 00:24:32] ppdet.engine INFO: Epoch: [48] [620/732] learning_rate: 0.186473 loss_vfl: 1.324871 loss_bbox: 0.729031 loss_dfl: 0.511340 loss: 2.566849 eta: 2 days, 9:36:16 batch_cost: 1.1210 data_cost: 0.0089 ips: 35.6811 images/s
[07/27 00:24:58] ppdet.engine INFO: Epoch: [48] [640/732] learning_rate: 0.186457 loss_vfl: 1.375338 loss_bbox: 0.755527 loss_dfl: 0.527351 loss: 2.674536 eta: 2 days, 9:35:48 batch_cost: 1.0738 data_cost: 0.0031 ips: 37.2493 images/s
[07/27 00:25:26] ppdet.engine INFO: Epoch: [48] [660/732] learning_rate: 0.186442 loss_vfl: 1.350331 loss_bbox: 0.768442 loss_dfl: 0.528999 loss: 2.645810 eta: 2 days, 9:35:29 batch_cost: 1.1618 data_cost: 0.0090 ips: 34.4298 images/s
[07/27 00:25:51] ppdet.engine INFO: Epoch: [48] [680/732] learning_rate: 0.186427 loss_vfl: 1.345837 loss_bbox: 0.771434 loss_dfl: 0.529498 loss: 2.657173 eta: 2 days, 9:34:58 batch_cost: 1.0515 data_cost: 0.0066 ips: 38.0407 images/s
[07/27 00:26:19] ppdet.engine INFO: Epoch: [48] [700/732] learning_rate: 0.186411 loss_vfl: 1.325409 loss_bbox: 0.774936 loss_dfl: 0.521166 loss: 2.617371 eta: 2 days, 9:34:37 batch_cost: 1.1355 data_cost: 0.0096 ips: 35.2275 images/s
[07/27 00:26:47] ppdet.engine INFO: Epoch: [48] [720/732] learning_rate: 0.186396 loss_vfl: 1.456909 loss_bbox: 0.796561 loss_dfl: 0.547665 loss: 2.815030 eta: 2 days, 9:34:26 batch_cost: 1.2443 data_cost: 0.0063 ips: 32.1471 images/s
[07/27 00:27:10] ppdet.engine INFO: Epoch: [49] [  0/732] learning_rate: 0.186386 loss_vfl: 1.359174 loss_bbox: 0.770143 loss_dfl: 0.521638 loss: 2.654010 eta: 2 days, 9:34:46 batch_cost: 1.4652 data_cost: 0.4412 ips: 27.3005 images/s
[07/27 00:27:38] ppdet.engine INFO: Epoch: [49] [ 20/732] learning_rate: 0.186371 loss_vfl: 1.302236 loss_bbox: 0.733899 loss_dfl: 0.502520 loss: 2.573438 eta: 2 days, 9:34:26 batch_cost: 1.1486 data_cost: 0.0004 ips: 34.8260 images/s
[07/27 00:28:06] ppdet.engine INFO: Epoch: [49] [ 40/732] learning_rate: 0.186356 loss_vfl: 1.318831 loss_bbox: 0.730170 loss_dfl: 0.512386 loss: 2.568305 eta: 2 days, 9:34:10 batch_cost: 1.1978 data_cost: 0.0054 ips: 33.3948 images/s
[07/27 00:28:33] ppdet.engine INFO: Epoch: [49] [ 60/732] learning_rate: 0.186340 loss_vfl: 1.315530 loss_bbox: 0.744535 loss_dfl: 0.515947 loss: 2.573010 eta: 2 days, 9:33:56 batch_cost: 1.2064 data_cost: 0.0059 ips: 33.1553 images/s
[07/27 00:29:01] ppdet.engine INFO: Epoch: [49] [ 80/732] learning_rate: 0.186325 loss_vfl: 1.351840 loss_bbox: 0.758333 loss_dfl: 0.521196 loss: 2.632156 eta: 2 days, 9:33:43 batch_cost: 1.2269 data_cost: 0.0063 ips: 32.6014 images/s
[07/27 00:29:28] ppdet.engine INFO: Epoch: [49] [100/732] learning_rate: 0.186309 loss_vfl: 1.332212 loss_bbox: 0.766625 loss_dfl: 0.524259 loss: 2.660384 eta: 2 days, 9:33:21 batch_cost: 1.1330 data_cost: 0.0153 ips: 35.3059 images/s
[07/27 00:29:54] ppdet.engine INFO: Epoch: [49] [120/732] learning_rate: 0.186294 loss_vfl: 1.377962 loss_bbox: 0.763405 loss_dfl: 0.532709 loss: 2.688787 eta: 2 days, 9:32:53 batch_cost: 1.0792 data_cost: 0.0108 ips: 37.0641 images/s
[07/27 00:30:21] ppdet.engine INFO: Epoch: [49] [140/732] learning_rate: 0.186278 loss_vfl: 1.329105 loss_bbox: 0.750490 loss_dfl: 0.520790 loss: 2.605088 eta: 2 days, 9:32:35 batch_cost: 1.1691 data_cost: 0.0113 ips: 34.2141 images/s
[07/27 00:30:48] ppdet.engine INFO: Epoch: [49] [160/732] learning_rate: 0.186263 loss_vfl: 1.344656 loss_bbox: 0.753831 loss_dfl: 0.517991 loss: 2.612674 eta: 2 days, 9:32:19 batch_cost: 1.1957 data_cost: 0.0025 ips: 33.4531 images/s
[07/27 00:31:15] ppdet.engine INFO: Epoch: [49] [180/732] learning_rate: 0.186247 loss_vfl: 1.328346 loss_bbox: 0.769117 loss_dfl: 0.531810 loss: 2.643589 eta: 2 days, 9:32:04 batch_cost: 1.1945 data_cost: 0.0047 ips: 33.4879 images/s
[07/27 00:31:41] ppdet.engine INFO: Epoch: [49] [200/732] learning_rate: 0.186232 loss_vfl: 1.317484 loss_bbox: 0.761394 loss_dfl: 0.521193 loss: 2.621652 eta: 2 days, 9:31:42 batch_cost: 1.1416 data_cost: 0.0056 ips: 35.0372 images/s
[07/27 00:32:09] ppdet.engine INFO: Epoch: [49] [220/732] learning_rate: 0.186216 loss_vfl: 1.335913 loss_bbox: 0.776588 loss_dfl: 0.524831 loss: 2.659664 eta: 2 days, 9:31:25 batch_cost: 1.1767 data_cost: 0.0059 ips: 33.9935 images/s
[07/27 00:32:34] ppdet.engine INFO: Epoch: [49] [240/732] learning_rate: 0.186201 loss_vfl: 1.339313 loss_bbox: 0.784224 loss_dfl: 0.537291 loss: 2.662935 eta: 2 days, 9:30:56 batch_cost: 1.0696 data_cost: 0.0025 ips: 37.3967 images/s
[07/27 00:33:01] ppdet.engine INFO: Epoch: [49] [260/732] learning_rate: 0.186185 loss_vfl: 1.353163 loss_bbox: 0.774591 loss_dfl: 0.529535 loss: 2.637861 eta: 2 days, 9:30:34 batch_cost: 1.1380 data_cost: 0.0083 ips: 35.1482 images/s
[07/27 00:33:26] ppdet.engine INFO: Epoch: [49] [280/732] learning_rate: 0.186170 loss_vfl: 1.353060 loss_bbox: 0.761533 loss_dfl: 0.528266 loss: 2.657257 eta: 2 days, 9:30:04 batch_cost: 1.0533 data_cost: 0.0059 ips: 37.9755 images/s
[07/27 00:33:52] ppdet.engine INFO: Epoch: [49] [300/732] learning_rate: 0.186154 loss_vfl: 1.335586 loss_bbox: 0.745993 loss_dfl: 0.514213 loss: 2.613619 eta: 2 days, 9:29:37 batch_cost: 1.0803 data_cost: 0.0040 ips: 37.0282 images/s
[07/27 00:34:19] ppdet.engine INFO: Epoch: [49] [320/732] learning_rate: 0.186139 loss_vfl: 1.331759 loss_bbox: 0.757697 loss_dfl: 0.522965 loss: 2.585955 eta: 2 days, 9:29:07 batch_cost: 1.0579 data_cost: 0.0071 ips: 37.8096 images/s
[07/27 00:34:45] ppdet.engine INFO: Epoch: [49] [340/732] learning_rate: 0.186123 loss_vfl: 1.344593 loss_bbox: 0.790385 loss_dfl: 0.542453 loss: 2.684118 eta: 2 days, 9:28:39 batch_cost: 1.0732 data_cost: 0.0065 ips: 37.2734 images/s
[07/27 00:35:11] ppdet.engine INFO: Epoch: [49] [360/732] learning_rate: 0.186108 loss_vfl: 1.384530 loss_bbox: 0.778375 loss_dfl: 0.543328 loss: 2.717940 eta: 2 days, 9:28:13 batch_cost: 1.0904 data_cost: 0.0064 ips: 36.6848 images/s
[07/27 00:35:40] ppdet.engine INFO: Epoch: [49] [380/732] learning_rate: 0.186092 loss_vfl: 1.367084 loss_bbox: 0.797387 loss_dfl: 0.548959 loss: 2.718484 eta: 2 days, 9:27:58 batch_cost: 1.2047 data_cost: 0.0009 ips: 33.2029 images/s
[07/27 00:36:08] ppdet.engine INFO: Epoch: [49] [400/732] learning_rate: 0.186076 loss_vfl: 1.394438 loss_bbox: 0.772923 loss_dfl: 0.531220 loss: 2.699398 eta: 2 days, 9:27:43 batch_cost: 1.2100 data_cost: 0.0043 ips: 33.0570 images/s
[07/27 00:36:35] ppdet.engine INFO: Epoch: [49] [420/732] learning_rate: 0.186061 loss_vfl: 1.423176 loss_bbox: 0.806888 loss_dfl: 0.553829 loss: 2.801315 eta: 2 days, 9:27:29 batch_cost: 1.2083 data_cost: 0.0126 ips: 33.1031 images/s
[07/27 00:37:01] ppdet.engine INFO: Epoch: [49] [440/732] learning_rate: 0.186045 loss_vfl: 1.338566 loss_bbox: 0.767032 loss_dfl: 0.524665 loss: 2.627419 eta: 2 days, 9:27:03 batch_cost: 1.0932 data_cost: 0.0085 ips: 36.5883 images/s
[07/27 00:37:29] ppdet.engine INFO: Epoch: [49] [460/732] learning_rate: 0.186030 loss_vfl: 1.386610 loss_bbox: 0.780661 loss_dfl: 0.527783 loss: 2.653074 eta: 2 days, 9:26:50 batch_cost: 1.2206 data_cost: 0.0031 ips: 32.7700 images/s
[07/27 00:37:55] ppdet.engine INFO: Epoch: [49] [480/732] learning_rate: 0.186014 loss_vfl: 1.320204 loss_bbox: 0.738664 loss_dfl: 0.512357 loss: 2.555497 eta: 2 days, 9:26:25 batch_cost: 1.1099 data_cost: 0.0043 ips: 36.0390 images/s
[07/27 00:38:23] ppdet.engine INFO: Epoch: [49] [500/732] learning_rate: 0.185998 loss_vfl: 1.354129 loss_bbox: 0.755796 loss_dfl: 0.512411 loss: 2.619316 eta: 2 days, 9:26:08 batch_cost: 1.1803 data_cost: 0.0105 ips: 33.8893 images/s
[07/27 00:38:49] ppdet.engine INFO: Epoch: [49] [520/732] learning_rate: 0.185983 loss_vfl: 1.343313 loss_bbox: 0.781911 loss_dfl: 0.532209 loss: 2.670948 eta: 2 days, 9:25:42 batch_cost: 1.0941 data_cost: 0.0051 ips: 36.5585 images/s
[07/27 00:39:17] ppdet.engine INFO: Epoch: [49] [540/732] learning_rate: 0.185967 loss_vfl: 1.326724 loss_bbox: 0.782683 loss_dfl: 0.538709 loss: 2.683088 eta: 2 days, 9:25:28 batch_cost: 1.2151 data_cost: 0.0021 ips: 32.9192 images/s
[07/27 00:39:42] ppdet.engine INFO: Epoch: [49] [560/732] learning_rate: 0.185951 loss_vfl: 1.334301 loss_bbox: 0.780271 loss_dfl: 0.525163 loss: 2.613485 eta: 2 days, 9:25:01 batch_cost: 1.0875 data_cost: 0.0062 ips: 36.7813 images/s
[07/27 00:40:09] ppdet.engine INFO: Epoch: [49] [580/732] learning_rate: 0.185936 loss_vfl: 1.340368 loss_bbox: 0.775499 loss_dfl: 0.529379 loss: 2.625137 eta: 2 days, 9:24:37 batch_cost: 1.1095 data_cost: 0.0110 ips: 36.0512 images/s
[07/27 00:40:35] ppdet.engine INFO: Epoch: [49] [600/732] learning_rate: 0.185920 loss_vfl: 1.327320 loss_bbox: 0.778474 loss_dfl: 0.533613 loss: 2.673963 eta: 2 days, 9:24:10 batch_cost: 1.0894 data_cost: 0.0167 ips: 36.7188 images/s
[07/27 00:41:02] ppdet.engine INFO: Epoch: [49] [620/732] learning_rate: 0.185904 loss_vfl: 1.383122 loss_bbox: 0.796776 loss_dfl: 0.542305 loss: 2.752379 eta: 2 days, 9:23:45 batch_cost: 1.1017 data_cost: 0.0068 ips: 36.3081 images/s
[07/27 00:41:29] ppdet.engine INFO: Epoch: [49] [640/732] learning_rate: 0.185889 loss_vfl: 1.335511 loss_bbox: 0.773036 loss_dfl: 0.523585 loss: 2.636699 eta: 2 days, 9:23:27 batch_cost: 1.1716 data_cost: 0.0081 ips: 34.1410 images/s
[07/27 00:41:56] ppdet.engine INFO: Epoch: [49] [660/732] learning_rate: 0.185873 loss_vfl: 1.333330 loss_bbox: 0.755665 loss_dfl: 0.519313 loss: 2.602952 eta: 2 days, 9:23:09 batch_cost: 1.1730 data_cost: 0.0031 ips: 34.1018 images/s
[07/27 00:42:23] ppdet.engine INFO: Epoch: [49] [680/732] learning_rate: 0.185857 loss_vfl: 1.379331 loss_bbox: 0.786735 loss_dfl: 0.547842 loss: 2.717523 eta: 2 days, 9:22:50 batch_cost: 1.1650 data_cost: 0.0081 ips: 34.3346 images/s
[07/27 00:42:49] ppdet.engine INFO: Epoch: [49] [700/732] learning_rate: 0.185842 loss_vfl: 1.313215 loss_bbox: 0.764780 loss_dfl: 0.523485 loss: 2.602400 eta: 2 days, 9:22:22 batch_cost: 1.0765 data_cost: 0.0049 ips: 37.1589 images/s
[07/27 00:43:16] ppdet.engine INFO: Epoch: [49] [720/732] learning_rate: 0.185826 loss_vfl: 1.371708 loss_bbox: 0.760561 loss_dfl: 0.525463 loss: 2.659549 eta: 2 days, 9:22:03 batch_cost: 1.1691 data_cost: 0.0056 ips: 34.2147 images/s
[07/27 00:43:27] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 00:43:27] ppdet.engine INFO: Eval iter: 0
[07/27 00:43:50] ppdet.engine INFO: Eval iter: 100
[07/27 00:44:01] ppdet.engine INFO: Eval iter: 200
[07/27 00:44:13] ppdet.engine INFO: Eval iter: 300
[07/27 00:44:25] ppdet.engine INFO: Eval iter: 400
[07/27 00:44:38] ppdet.engine INFO: Eval iter: 500
[07/27 00:44:50] ppdet.engine INFO: Eval iter: 600
[07/27 00:45:06] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.65s)
creating index...
index created!
[07/27 00:45:07] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.35s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.26s).
Accumulating evaluation results...
DONE (t=19.23s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.199
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.316
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.209
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.081
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.216
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.308
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.224
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.369
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.392
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.146
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.432
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.595
[07/27 00:47:14] ppdet.engine INFO: Total sample number: 4952, averge FPS: 57.59308863639658
[07/27 00:47:14] ppdet.engine INFO: Best test bbox ap is 0.199.
[07/27 00:47:14] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 00:47:15] ppdet.engine INFO: Epoch: [50] [  0/732] learning_rate: 0.185817 loss_vfl: 1.360091 loss_bbox: 0.780850 loss_dfl: 0.531728 loss: 2.673782 eta: 2 days, 9:21:20 batch_cost: 0.8525 data_cost: 0.0037 ips: 46.9222 images/s
[07/27 00:47:42] ppdet.engine INFO: Epoch: [50] [ 20/732] learning_rate: 0.185801 loss_vfl: 1.365965 loss_bbox: 0.768595 loss_dfl: 0.531974 loss: 2.689601 eta: 2 days, 9:20:58 batch_cost: 1.1392 data_cost: 0.0036 ips: 35.1130 images/s
[07/27 00:48:10] ppdet.engine INFO: Epoch: [50] [ 40/732] learning_rate: 0.185785 loss_vfl: 1.365293 loss_bbox: 0.765891 loss_dfl: 0.524991 loss: 2.647068 eta: 2 days, 9:20:44 batch_cost: 1.2078 data_cost: 0.0082 ips: 33.1170 images/s
[07/27 00:48:37] ppdet.engine INFO: Epoch: [50] [ 60/732] learning_rate: 0.185769 loss_vfl: 1.368361 loss_bbox: 0.756340 loss_dfl: 0.517439 loss: 2.665014 eta: 2 days, 9:20:26 batch_cost: 1.1753 data_cost: 0.0061 ips: 34.0334 images/s
[07/27 00:49:04] ppdet.engine INFO: Epoch: [50] [ 80/732] learning_rate: 0.185754 loss_vfl: 1.380013 loss_bbox: 0.799594 loss_dfl: 0.541296 loss: 2.694205 eta: 2 days, 9:20:01 batch_cost: 1.1095 data_cost: 0.0095 ips: 36.0531 images/s
[07/27 00:49:32] ppdet.engine INFO: Epoch: [50] [100/732] learning_rate: 0.185738 loss_vfl: 1.324037 loss_bbox: 0.749064 loss_dfl: 0.515386 loss: 2.557431 eta: 2 days, 9:19:42 batch_cost: 1.1617 data_cost: 0.0092 ips: 34.4330 images/s
[07/27 00:49:59] ppdet.engine INFO: Epoch: [50] [120/732] learning_rate: 0.185722 loss_vfl: 1.364416 loss_bbox: 0.776092 loss_dfl: 0.536145 loss: 2.746827 eta: 2 days, 9:19:25 batch_cost: 1.1787 data_cost: 0.0120 ips: 33.9344 images/s
[07/27 00:50:25] ppdet.engine INFO: Epoch: [50] [140/732] learning_rate: 0.185706 loss_vfl: 1.373161 loss_bbox: 0.809636 loss_dfl: 0.548612 loss: 2.723734 eta: 2 days, 9:19:01 batch_cost: 1.1132 data_cost: 0.0017 ips: 35.9315 images/s
[07/27 00:50:51] ppdet.engine INFO: Epoch: [50] [160/732] learning_rate: 0.185691 loss_vfl: 1.356269 loss_bbox: 0.757654 loss_dfl: 0.522712 loss: 2.639016 eta: 2 days, 9:18:34 batch_cost: 1.0896 data_cost: 0.0044 ips: 36.7104 images/s
[07/27 00:51:20] ppdet.engine INFO: Epoch: [50] [180/732] learning_rate: 0.185675 loss_vfl: 1.399265 loss_bbox: 0.778483 loss_dfl: 0.541202 loss: 2.727318 eta: 2 days, 9:18:20 batch_cost: 1.2183 data_cost: 0.0062 ips: 32.8336 images/s
[07/27 00:51:48] ppdet.engine INFO: Epoch: [50] [200/732] learning_rate: 0.185659 loss_vfl: 1.354532 loss_bbox: 0.759561 loss_dfl: 0.520763 loss: 2.623811 eta: 2 days, 9:18:00 batch_cost: 1.1546 data_cost: 0.0047 ips: 34.6438 images/s
[07/27 00:52:16] ppdet.engine INFO: Epoch: [50] [220/732] learning_rate: 0.185643 loss_vfl: 1.323998 loss_bbox: 0.789794 loss_dfl: 0.529582 loss: 2.665005 eta: 2 days, 9:17:29 batch_cost: 1.0355 data_cost: 0.0079 ips: 38.6299 images/s
[07/27 00:52:43] ppdet.engine INFO: Epoch: [50] [240/732] learning_rate: 0.185627 loss_vfl: 1.359266 loss_bbox: 0.780268 loss_dfl: 0.537465 loss: 2.671163 eta: 2 days, 9:17:09 batch_cost: 1.1562 data_cost: 0.0028 ips: 34.5970 images/s
[07/27 00:53:10] ppdet.engine INFO: Epoch: [50] [260/732] learning_rate: 0.185612 loss_vfl: 1.348332 loss_bbox: 0.777751 loss_dfl: 0.529897 loss: 2.649812 eta: 2 days, 9:16:44 batch_cost: 1.1006 data_cost: 0.0060 ips: 36.3439 images/s
[07/27 00:53:37] ppdet.engine INFO: Epoch: [50] [280/732] learning_rate: 0.185596 loss_vfl: 1.384925 loss_bbox: 0.787973 loss_dfl: 0.546955 loss: 2.739749 eta: 2 days, 9:16:22 batch_cost: 1.1423 data_cost: 0.0031 ips: 35.0168 images/s
[07/27 00:54:06] ppdet.engine INFO: Epoch: [50] [300/732] learning_rate: 0.185580 loss_vfl: 1.259440 loss_bbox: 0.682972 loss_dfl: 0.475347 loss: 2.417760 eta: 2 days, 9:16:09 batch_cost: 1.2215 data_cost: 0.0055 ips: 32.7456 images/s
[07/27 00:54:33] ppdet.engine INFO: Epoch: [50] [320/732] learning_rate: 0.185564 loss_vfl: 1.361220 loss_bbox: 0.796755 loss_dfl: 0.541716 loss: 2.688760 eta: 2 days, 9:15:43 batch_cost: 1.0937 data_cost: 0.0050 ips: 36.5737 images/s
[07/27 00:54:59] ppdet.engine INFO: Epoch: [50] [340/732] learning_rate: 0.185548 loss_vfl: 1.368411 loss_bbox: 0.771092 loss_dfl: 0.527002 loss: 2.671488 eta: 2 days, 9:15:15 batch_cost: 1.0750 data_cost: 0.0027 ips: 37.2097 images/s
[07/27 00:55:27] ppdet.engine INFO: Epoch: [50] [360/732] learning_rate: 0.185532 loss_vfl: 1.427419 loss_bbox: 0.782309 loss_dfl: 0.538013 loss: 2.753521 eta: 2 days, 9:14:59 batch_cost: 1.1924 data_cost: 0.0068 ips: 33.5447 images/s
[07/27 00:55:56] ppdet.engine INFO: Epoch: [50] [380/732] learning_rate: 0.185516 loss_vfl: 1.310513 loss_bbox: 0.733689 loss_dfl: 0.502747 loss: 2.517360 eta: 2 days, 9:14:37 batch_cost: 1.1360 data_cost: 0.0055 ips: 35.2102 images/s
[07/27 00:56:21] ppdet.engine INFO: Epoch: [50] [400/732] learning_rate: 0.185501 loss_vfl: 1.376749 loss_bbox: 0.779302 loss_dfl: 0.537421 loss: 2.683855 eta: 2 days, 9:14:01 batch_cost: 0.9936 data_cost: 0.0078 ips: 40.2581 images/s
[07/27 00:56:49] ppdet.engine INFO: Epoch: [50] [420/732] learning_rate: 0.185485 loss_vfl: 1.329728 loss_bbox: 0.751857 loss_dfl: 0.519747 loss: 2.626183 eta: 2 days, 9:13:38 batch_cost: 1.1203 data_cost: 0.0077 ips: 35.7036 images/s
[07/27 00:57:16] ppdet.engine INFO: Epoch: [50] [440/732] learning_rate: 0.185469 loss_vfl: 1.432583 loss_bbox: 0.814990 loss_dfl: 0.566053 loss: 2.811583 eta: 2 days, 9:13:16 batch_cost: 1.1398 data_cost: 0.0042 ips: 35.0952 images/s
[07/27 00:57:44] ppdet.engine INFO: Epoch: [50] [460/732] learning_rate: 0.185453 loss_vfl: 1.270950 loss_bbox: 0.697798 loss_dfl: 0.482054 loss: 2.445346 eta: 2 days, 9:12:58 batch_cost: 1.1731 data_cost: 0.0085 ips: 34.0983 images/s
[07/27 00:58:11] ppdet.engine INFO: Epoch: [50] [480/732] learning_rate: 0.185437 loss_vfl: 1.373145 loss_bbox: 0.784755 loss_dfl: 0.535655 loss: 2.683071 eta: 2 days, 9:12:42 batch_cost: 1.1934 data_cost: 0.0019 ips: 33.5175 images/s
[07/27 00:58:36] ppdet.engine INFO: Epoch: [50] [500/732] learning_rate: 0.185421 loss_vfl: 1.315928 loss_bbox: 0.749540 loss_dfl: 0.511354 loss: 2.575842 eta: 2 days, 9:12:12 batch_cost: 1.0549 data_cost: 0.0071 ips: 37.9177 images/s
[07/27 00:59:04] ppdet.engine INFO: Epoch: [50] [520/732] learning_rate: 0.185405 loss_vfl: 1.311324 loss_bbox: 0.753878 loss_dfl: 0.518710 loss: 2.583023 eta: 2 days, 9:11:52 batch_cost: 1.1529 data_cost: 0.0076 ips: 34.6940 images/s
[07/27 00:59:30] ppdet.engine INFO: Epoch: [50] [540/732] learning_rate: 0.185389 loss_vfl: 1.345006 loss_bbox: 0.741071 loss_dfl: 0.512684 loss: 2.607076 eta: 2 days, 9:11:25 batch_cost: 1.0843 data_cost: 0.0027 ips: 36.8916 images/s
[07/27 00:59:57] ppdet.engine INFO: Epoch: [50] [560/732] learning_rate: 0.185373 loss_vfl: 1.309517 loss_bbox: 0.752256 loss_dfl: 0.517129 loss: 2.595392 eta: 2 days, 9:11:07 batch_cost: 1.1704 data_cost: 0.0039 ips: 34.1751 images/s
[07/27 01:00:26] ppdet.engine INFO: Epoch: [50] [580/732] learning_rate: 0.185357 loss_vfl: 1.419677 loss_bbox: 0.816572 loss_dfl: 0.568539 loss: 2.803260 eta: 2 days, 9:10:51 batch_cost: 1.1962 data_cost: 0.0050 ips: 33.4397 images/s
[07/27 01:00:53] ppdet.engine INFO: Epoch: [50] [600/732] learning_rate: 0.185341 loss_vfl: 1.293384 loss_bbox: 0.737243 loss_dfl: 0.500796 loss: 2.529877 eta: 2 days, 9:10:32 batch_cost: 1.1620 data_cost: 0.0035 ips: 34.4238 images/s
[07/27 01:01:18] ppdet.engine INFO: Epoch: [50] [620/732] learning_rate: 0.185325 loss_vfl: 1.366958 loss_bbox: 0.777389 loss_dfl: 0.536712 loss: 2.676608 eta: 2 days, 9:10:00 batch_cost: 1.0323 data_cost: 0.0075 ips: 38.7482 images/s
[07/27 01:01:46] ppdet.engine INFO: Epoch: [50] [640/732] learning_rate: 0.185309 loss_vfl: 1.342815 loss_bbox: 0.760611 loss_dfl: 0.517542 loss: 2.574810 eta: 2 days, 9:09:31 batch_cost: 1.0639 data_cost: 0.0080 ips: 37.5978 images/s
[07/27 01:02:14] ppdet.engine INFO: Epoch: [50] [660/732] learning_rate: 0.185293 loss_vfl: 1.326658 loss_bbox: 0.752513 loss_dfl: 0.514072 loss: 2.602052 eta: 2 days, 9:09:12 batch_cost: 1.1698 data_cost: 0.0036 ips: 34.1939 images/s
[07/27 01:02:41] ppdet.engine INFO: Epoch: [50] [680/732] learning_rate: 0.185278 loss_vfl: 1.427986 loss_bbox: 0.775413 loss_dfl: 0.542025 loss: 2.709724 eta: 2 days, 9:08:58 batch_cost: 1.2094 data_cost: 0.0098 ips: 33.0742 images/s
[07/27 01:03:07] ppdet.engine INFO: Epoch: [50] [700/732] learning_rate: 0.185262 loss_vfl: 1.426705 loss_bbox: 0.803492 loss_dfl: 0.552829 loss: 2.764994 eta: 2 days, 9:08:30 batch_cost: 1.0808 data_cost: 0.0060 ips: 37.0087 images/s
[07/27 01:03:32] ppdet.engine INFO: Epoch: [50] [720/732] learning_rate: 0.185246 loss_vfl: 1.359890 loss_bbox: 0.784949 loss_dfl: 0.541404 loss: 2.698577 eta: 2 days, 9:07:57 batch_cost: 1.0163 data_cost: 0.0046 ips: 39.3603 images/s
[07/27 01:03:52] ppdet.engine INFO: Epoch: [51] [  0/732] learning_rate: 0.185236 loss_vfl: 1.361692 loss_bbox: 0.798403 loss_dfl: 0.546579 loss: 2.700193 eta: 2 days, 9:07:58 batch_cost: 1.2040 data_cost: 0.3251 ips: 33.2221 images/s
[07/27 01:04:23] ppdet.engine INFO: Epoch: [51] [ 20/732] learning_rate: 0.185220 loss_vfl: 1.333464 loss_bbox: 0.761319 loss_dfl: 0.514652 loss: 2.581454 eta: 2 days, 9:07:52 batch_cost: 1.3067 data_cost: 0.0034 ips: 30.6111 images/s
[07/27 01:04:50] ppdet.engine INFO: Epoch: [51] [ 40/732] learning_rate: 0.185204 loss_vfl: 1.407105 loss_bbox: 0.800441 loss_dfl: 0.540888 loss: 2.754235 eta: 2 days, 9:07:33 batch_cost: 1.1633 data_cost: 0.0060 ips: 34.3864 images/s
[07/27 01:05:17] ppdet.engine INFO: Epoch: [51] [ 60/732] learning_rate: 0.185188 loss_vfl: 1.359395 loss_bbox: 0.779794 loss_dfl: 0.537637 loss: 2.676917 eta: 2 days, 9:07:14 batch_cost: 1.1636 data_cost: 0.0034 ips: 34.3763 images/s
[07/27 01:05:44] ppdet.engine INFO: Epoch: [51] [ 80/732] learning_rate: 0.185172 loss_vfl: 1.388254 loss_bbox: 0.762254 loss_dfl: 0.532008 loss: 2.690694 eta: 2 days, 9:06:56 batch_cost: 1.1731 data_cost: 0.0076 ips: 34.0973 images/s
[07/27 01:06:12] ppdet.engine INFO: Epoch: [51] [100/732] learning_rate: 0.185156 loss_vfl: 1.345143 loss_bbox: 0.755735 loss_dfl: 0.520278 loss: 2.597435 eta: 2 days, 9:06:39 batch_cost: 1.1836 data_cost: 0.0114 ips: 33.7945 images/s
[07/27 01:06:39] ppdet.engine INFO: Epoch: [51] [120/732] learning_rate: 0.185140 loss_vfl: 1.329186 loss_bbox: 0.769274 loss_dfl: 0.525630 loss: 2.568838 eta: 2 days, 9:06:15 batch_cost: 1.1125 data_cost: 0.0075 ips: 35.9554 images/s
[07/27 01:07:05] ppdet.engine INFO: Epoch: [51] [140/732] learning_rate: 0.185124 loss_vfl: 1.386623 loss_bbox: 0.793786 loss_dfl: 0.540025 loss: 2.715826 eta: 2 days, 9:05:48 batch_cost: 1.0911 data_cost: 0.0079 ips: 36.6586 images/s
[07/27 01:07:33] ppdet.engine INFO: Epoch: [51] [160/732] learning_rate: 0.185108 loss_vfl: 1.304795 loss_bbox: 0.726964 loss_dfl: 0.513541 loss: 2.563937 eta: 2 days, 9:05:32 batch_cost: 1.1884 data_cost: 0.0086 ips: 33.6590 images/s
[07/27 01:07:59] ppdet.engine INFO: Epoch: [51] [180/732] learning_rate: 0.185092 loss_vfl: 1.362457 loss_bbox: 0.745496 loss_dfl: 0.513503 loss: 2.626035 eta: 2 days, 9:05:12 batch_cost: 1.1571 data_cost: 0.0034 ips: 34.5686 images/s
[07/27 01:08:27] ppdet.engine INFO: Epoch: [51] [200/732] learning_rate: 0.185075 loss_vfl: 1.303786 loss_bbox: 0.731060 loss_dfl: 0.508522 loss: 2.532252 eta: 2 days, 9:04:52 batch_cost: 1.1608 data_cost: 0.0128 ips: 34.4589 images/s
[07/27 01:08:54] ppdet.engine INFO: Epoch: [51] [220/732] learning_rate: 0.185059 loss_vfl: 1.348815 loss_bbox: 0.745022 loss_dfl: 0.535367 loss: 2.678941 eta: 2 days, 9:04:39 batch_cost: 1.2285 data_cost: 0.0023 ips: 32.5594 images/s
[07/27 01:09:21] ppdet.engine INFO: Epoch: [51] [240/732] learning_rate: 0.185043 loss_vfl: 1.441174 loss_bbox: 0.822424 loss_dfl: 0.572650 loss: 2.856283 eta: 2 days, 9:04:21 batch_cost: 1.1692 data_cost: 0.0045 ips: 34.2104 images/s
[07/27 01:09:49] ppdet.engine INFO: Epoch: [51] [260/732] learning_rate: 0.185027 loss_vfl: 1.296148 loss_bbox: 0.739156 loss_dfl: 0.506857 loss: 2.538757 eta: 2 days, 9:04:07 batch_cost: 1.2240 data_cost: 0.0061 ips: 32.6786 images/s
[07/27 01:10:15] ppdet.engine INFO: Epoch: [51] [280/732] learning_rate: 0.185011 loss_vfl: 1.395091 loss_bbox: 0.772873 loss_dfl: 0.529349 loss: 2.671615 eta: 2 days, 9:03:42 batch_cost: 1.1045 data_cost: 0.0017 ips: 36.2150 images/s
[07/27 01:10:42] ppdet.engine INFO: Epoch: [51] [300/732] learning_rate: 0.184995 loss_vfl: 1.390720 loss_bbox: 0.793033 loss_dfl: 0.552559 loss: 2.764542 eta: 2 days, 9:03:21 batch_cost: 1.1410 data_cost: 0.0052 ips: 35.0583 images/s
[07/27 01:11:10] ppdet.engine INFO: Epoch: [51] [320/732] learning_rate: 0.184979 loss_vfl: 1.356669 loss_bbox: 0.773048 loss_dfl: 0.529477 loss: 2.663951 eta: 2 days, 9:02:59 batch_cost: 1.1319 data_cost: 0.0081 ips: 35.3377 images/s
[07/27 01:11:34] ppdet.engine INFO: Epoch: [51] [340/732] learning_rate: 0.184963 loss_vfl: 1.347039 loss_bbox: 0.762627 loss_dfl: 0.520284 loss: 2.618011 eta: 2 days, 9:02:19 batch_cost: 0.9510 data_cost: 0.0041 ips: 42.0601 images/s
[07/27 01:12:04] ppdet.engine INFO: Epoch: [51] [360/732] learning_rate: 0.184946 loss_vfl: 1.296458 loss_bbox: 0.773599 loss_dfl: 0.528816 loss: 2.635056 eta: 2 days, 9:01:55 batch_cost: 1.1088 data_cost: 0.0206 ips: 36.0737 images/s
[07/27 01:12:29] ppdet.engine INFO: Epoch: [51] [380/732] learning_rate: 0.184930 loss_vfl: 1.399542 loss_bbox: 0.781695 loss_dfl: 0.531944 loss: 2.706191 eta: 2 days, 9:01:25 batch_cost: 1.0564 data_cost: 0.0077 ips: 37.8643 images/s
[07/27 01:12:56] ppdet.engine INFO: Epoch: [51] [400/732] learning_rate: 0.184914 loss_vfl: 1.364334 loss_bbox: 0.785033 loss_dfl: 0.535094 loss: 2.686980 eta: 2 days, 9:01:02 batch_cost: 1.1225 data_cost: 0.0112 ips: 35.6355 images/s
[07/27 01:13:25] ppdet.engine INFO: Epoch: [51] [420/732] learning_rate: 0.184898 loss_vfl: 1.319541 loss_bbox: 0.751788 loss_dfl: 0.513703 loss: 2.578312 eta: 2 days, 9:00:43 batch_cost: 1.1669 data_cost: 0.0114 ips: 34.2795 images/s
[07/27 01:13:52] ppdet.engine INFO: Epoch: [51] [440/732] learning_rate: 0.184882 loss_vfl: 1.400631 loss_bbox: 0.783098 loss_dfl: 0.543746 loss: 2.744290 eta: 2 days, 9:00:22 batch_cost: 1.1465 data_cost: 0.0110 ips: 34.8889 images/s
[07/27 01:14:19] ppdet.engine INFO: Epoch: [51] [460/732] learning_rate: 0.184866 loss_vfl: 1.325900 loss_bbox: 0.760887 loss_dfl: 0.515180 loss: 2.585723 eta: 2 days, 8:59:55 batch_cost: 1.0766 data_cost: 0.0046 ips: 37.1534 images/s
[07/27 01:14:46] ppdet.engine INFO: Epoch: [51] [480/732] learning_rate: 0.184849 loss_vfl: 1.369111 loss_bbox: 0.807474 loss_dfl: 0.549047 loss: 2.725112 eta: 2 days, 8:59:37 batch_cost: 1.1842 data_cost: 0.0045 ips: 33.7791 images/s
[07/27 01:15:12] ppdet.engine INFO: Epoch: [51] [500/732] learning_rate: 0.184833 loss_vfl: 1.329970 loss_bbox: 0.767667 loss_dfl: 0.523443 loss: 2.615571 eta: 2 days, 8:59:08 batch_cost: 1.0599 data_cost: 0.0164 ips: 37.7385 images/s
[07/27 01:15:38] ppdet.engine INFO: Epoch: [51] [520/732] learning_rate: 0.184817 loss_vfl: 1.365072 loss_bbox: 0.760400 loss_dfl: 0.527443 loss: 2.647526 eta: 2 days, 8:58:39 batch_cost: 1.0568 data_cost: 0.0076 ips: 37.8518 images/s
[07/27 01:16:04] ppdet.engine INFO: Epoch: [51] [540/732] learning_rate: 0.184801 loss_vfl: 1.385859 loss_bbox: 0.783609 loss_dfl: 0.537920 loss: 2.711639 eta: 2 days, 8:58:05 batch_cost: 1.0135 data_cost: 0.0080 ips: 39.4686 images/s
[07/27 01:16:32] ppdet.engine INFO: Epoch: [51] [560/732] learning_rate: 0.184785 loss_vfl: 1.378804 loss_bbox: 0.784265 loss_dfl: 0.530151 loss: 2.682467 eta: 2 days, 8:57:42 batch_cost: 1.1214 data_cost: 0.0073 ips: 35.6700 images/s
[07/27 01:16:59] ppdet.engine INFO: Epoch: [51] [580/732] learning_rate: 0.184768 loss_vfl: 1.367443 loss_bbox: 0.751676 loss_dfl: 0.530194 loss: 2.670676 eta: 2 days, 8:57:24 batch_cost: 1.1816 data_cost: 0.0087 ips: 33.8510 images/s
[07/27 01:17:28] ppdet.engine INFO: Epoch: [51] [600/732] learning_rate: 0.184752 loss_vfl: 1.330650 loss_bbox: 0.747638 loss_dfl: 0.510182 loss: 2.603115 eta: 2 days, 8:57:06 batch_cost: 1.1766 data_cost: 0.0108 ips: 33.9968 images/s
[07/27 01:17:57] ppdet.engine INFO: Epoch: [51] [620/732] learning_rate: 0.184736 loss_vfl: 1.382547 loss_bbox: 0.787850 loss_dfl: 0.545588 loss: 2.737584 eta: 2 days, 8:56:47 batch_cost: 1.1652 data_cost: 0.0043 ips: 34.3284 images/s
[07/27 01:18:23] ppdet.engine INFO: Epoch: [51] [640/732] learning_rate: 0.184720 loss_vfl: 1.358437 loss_bbox: 0.790382 loss_dfl: 0.542591 loss: 2.708439 eta: 2 days, 8:56:18 batch_cost: 1.0609 data_cost: 0.0080 ips: 37.7040 images/s
[07/27 01:18:50] ppdet.engine INFO: Epoch: [51] [660/732] learning_rate: 0.184703 loss_vfl: 1.333528 loss_bbox: 0.750803 loss_dfl: 0.509118 loss: 2.587131 eta: 2 days, 8:55:54 batch_cost: 1.1163 data_cost: 0.0045 ips: 35.8340 images/s
[07/27 01:19:18] ppdet.engine INFO: Epoch: [51] [680/732] learning_rate: 0.184687 loss_vfl: 1.387757 loss_bbox: 0.781833 loss_dfl: 0.533928 loss: 2.680615 eta: 2 days, 8:55:36 batch_cost: 1.1751 data_cost: 0.0056 ips: 34.0399 images/s
[07/27 01:19:42] ppdet.engine INFO: Epoch: [51] [700/732] learning_rate: 0.184671 loss_vfl: 1.363476 loss_bbox: 0.762918 loss_dfl: 0.524906 loss: 2.649783 eta: 2 days, 8:55:06 batch_cost: 1.0473 data_cost: 0.0085 ips: 38.1944 images/s
[07/27 01:20:10] ppdet.engine INFO: Epoch: [51] [720/732] learning_rate: 0.184654 loss_vfl: 1.351873 loss_bbox: 0.765366 loss_dfl: 0.535567 loss: 2.670485 eta: 2 days, 8:54:46 batch_cost: 1.1504 data_cost: 0.0087 ips: 34.7707 images/s
[07/27 01:20:33] ppdet.engine INFO: Epoch: [52] [  0/732] learning_rate: 0.184645 loss_vfl: 1.384979 loss_bbox: 0.776760 loss_dfl: 0.542155 loss: 2.703749 eta: 2 days, 8:55:07 batch_cost: 1.5463 data_cost: 0.5207 ips: 25.8675 images/s
[07/27 01:21:02] ppdet.engine INFO: Epoch: [52] [ 20/732] learning_rate: 0.184628 loss_vfl: 1.356214 loss_bbox: 0.757308 loss_dfl: 0.526671 loss: 2.640192 eta: 2 days, 8:54:57 batch_cost: 1.2510 data_cost: 0.0038 ips: 31.9737 images/s
[07/27 01:21:29] ppdet.engine INFO: Epoch: [52] [ 40/732] learning_rate: 0.184612 loss_vfl: 1.353545 loss_bbox: 0.782807 loss_dfl: 0.530623 loss: 2.689797 eta: 2 days, 8:54:35 batch_cost: 1.1410 data_cost: 0.0048 ips: 35.0559 images/s
[07/27 01:21:57] ppdet.engine INFO: Epoch: [52] [ 60/732] learning_rate: 0.184596 loss_vfl: 1.336481 loss_bbox: 0.772562 loss_dfl: 0.536486 loss: 2.661021 eta: 2 days, 8:54:18 batch_cost: 1.1832 data_cost: 0.0032 ips: 33.8064 images/s
[07/27 01:22:22] ppdet.engine INFO: Epoch: [52] [ 80/732] learning_rate: 0.184579 loss_vfl: 1.321748 loss_bbox: 0.756337 loss_dfl: 0.518863 loss: 2.592858 eta: 2 days, 8:53:49 batch_cost: 1.0662 data_cost: 0.0020 ips: 37.5147 images/s
[07/27 01:22:50] ppdet.engine INFO: Epoch: [52] [100/732] learning_rate: 0.184563 loss_vfl: 1.335512 loss_bbox: 0.755379 loss_dfl: 0.526149 loss: 2.642634 eta: 2 days, 8:53:23 batch_cost: 1.0954 data_cost: 0.0052 ips: 36.5164 images/s
[07/27 01:23:17] ppdet.engine INFO: Epoch: [52] [120/732] learning_rate: 0.184547 loss_vfl: 1.330191 loss_bbox: 0.748030 loss_dfl: 0.520000 loss: 2.613481 eta: 2 days, 8:53:02 batch_cost: 1.1426 data_cost: 0.0054 ips: 35.0071 images/s
[07/27 01:23:45] ppdet.engine INFO: Epoch: [52] [140/732] learning_rate: 0.184530 loss_vfl: 1.334124 loss_bbox: 0.749823 loss_dfl: 0.515163 loss: 2.572527 eta: 2 days, 8:52:48 batch_cost: 1.2174 data_cost: 0.0046 ips: 32.8559 images/s
[07/27 01:24:10] ppdet.engine INFO: Epoch: [52] [160/732] learning_rate: 0.184514 loss_vfl: 1.308746 loss_bbox: 0.726348 loss_dfl: 0.498761 loss: 2.559185 eta: 2 days, 8:52:21 batch_cost: 1.0849 data_cost: 0.0039 ips: 36.8699 images/s
[07/27 01:24:37] ppdet.engine INFO: Epoch: [52] [180/732] learning_rate: 0.184498 loss_vfl: 1.372427 loss_bbox: 0.766322 loss_dfl: 0.526545 loss: 2.686136 eta: 2 days, 8:51:59 batch_cost: 1.1301 data_cost: 0.0058 ips: 35.3954 images/s
[07/27 01:25:04] ppdet.engine INFO: Epoch: [52] [200/732] learning_rate: 0.184481 loss_vfl: 1.434147 loss_bbox: 0.797639 loss_dfl: 0.548645 loss: 2.803804 eta: 2 days, 8:51:35 batch_cost: 1.1153 data_cost: 0.0077 ips: 35.8647 images/s
[07/27 01:25:32] ppdet.engine INFO: Epoch: [52] [220/732] learning_rate: 0.184465 loss_vfl: 1.398627 loss_bbox: 0.777422 loss_dfl: 0.540187 loss: 2.735660 eta: 2 days, 8:51:20 batch_cost: 1.2054 data_cost: 0.0111 ips: 33.1837 images/s
[07/27 01:25:59] ppdet.engine INFO: Epoch: [52] [240/732] learning_rate: 0.184449 loss_vfl: 1.340494 loss_bbox: 0.773774 loss_dfl: 0.533057 loss: 2.658538 eta: 2 days, 8:50:58 batch_cost: 1.1340 data_cost: 0.0088 ips: 35.2747 images/s
[07/27 01:26:27] ppdet.engine INFO: Epoch: [52] [260/732] learning_rate: 0.184432 loss_vfl: 1.342706 loss_bbox: 0.774302 loss_dfl: 0.538564 loss: 2.696595 eta: 2 days, 8:50:40 batch_cost: 1.1819 data_cost: 0.0055 ips: 33.8443 images/s
[07/27 01:26:52] ppdet.engine INFO: Epoch: [52] [280/732] learning_rate: 0.184416 loss_vfl: 1.361126 loss_bbox: 0.774321 loss_dfl: 0.527048 loss: 2.649232 eta: 2 days, 8:50:09 batch_cost: 1.0412 data_cost: 0.0048 ips: 38.4188 images/s
[07/27 01:27:20] ppdet.engine INFO: Epoch: [52] [300/732] learning_rate: 0.184399 loss_vfl: 1.328476 loss_bbox: 0.748288 loss_dfl: 0.519283 loss: 2.600164 eta: 2 days, 8:49:42 batch_cost: 1.0831 data_cost: 0.0108 ips: 36.9310 images/s
[07/27 01:27:47] ppdet.engine INFO: Epoch: [52] [320/732] learning_rate: 0.184383 loss_vfl: 1.323568 loss_bbox: 0.734537 loss_dfl: 0.517040 loss: 2.606746 eta: 2 days, 8:49:21 batch_cost: 1.1391 data_cost: 0.0049 ips: 35.1146 images/s
[07/27 01:28:13] ppdet.engine INFO: Epoch: [52] [340/732] learning_rate: 0.184366 loss_vfl: 1.377264 loss_bbox: 0.772668 loss_dfl: 0.534803 loss: 2.673717 eta: 2 days, 8:48:52 batch_cost: 1.0687 data_cost: 0.0038 ips: 37.4297 images/s
[07/27 01:28:40] ppdet.engine INFO: Epoch: [52] [360/732] learning_rate: 0.184350 loss_vfl: 1.352571 loss_bbox: 0.794340 loss_dfl: 0.540939 loss: 2.702649 eta: 2 days, 8:48:30 batch_cost: 1.1333 data_cost: 0.0091 ips: 35.2954 images/s
[07/27 01:29:06] ppdet.engine INFO: Epoch: [52] [380/732] learning_rate: 0.184334 loss_vfl: 1.313173 loss_bbox: 0.750757 loss_dfl: 0.512864 loss: 2.577981 eta: 2 days, 8:48:05 batch_cost: 1.0975 data_cost: 0.0055 ips: 36.4472 images/s
[07/27 01:29:33] ppdet.engine INFO: Epoch: [52] [400/732] learning_rate: 0.184317 loss_vfl: 1.284890 loss_bbox: 0.742483 loss_dfl: 0.504970 loss: 2.554413 eta: 2 days, 8:47:48 batch_cost: 1.1881 data_cost: 0.0102 ips: 33.6665 images/s
[07/27 01:29:58] ppdet.engine INFO: Epoch: [52] [420/732] learning_rate: 0.184301 loss_vfl: 1.329197 loss_bbox: 0.750122 loss_dfl: 0.519266 loss: 2.622146 eta: 2 days, 8:47:18 batch_cost: 1.0536 data_cost: 0.0019 ips: 37.9653 images/s
[07/27 01:30:26] ppdet.engine INFO: Epoch: [52] [440/732] learning_rate: 0.184284 loss_vfl: 1.377364 loss_bbox: 0.764063 loss_dfl: 0.532632 loss: 2.674085 eta: 2 days, 8:47:01 batch_cost: 1.1855 data_cost: 0.0060 ips: 33.7405 images/s
[07/27 01:30:53] ppdet.engine INFO: Epoch: [52] [460/732] learning_rate: 0.184268 loss_vfl: 1.364606 loss_bbox: 0.773869 loss_dfl: 0.533408 loss: 2.639280 eta: 2 days, 8:46:38 batch_cost: 1.1263 data_cost: 0.0138 ips: 35.5130 images/s
[07/27 01:31:19] ppdet.engine INFO: Epoch: [52] [480/732] learning_rate: 0.184251 loss_vfl: 1.290532 loss_bbox: 0.773393 loss_dfl: 0.523557 loss: 2.582845 eta: 2 days, 8:46:12 batch_cost: 1.0923 data_cost: 0.0087 ips: 36.6195 images/s
[07/27 01:31:45] ppdet.engine INFO: Epoch: [52] [500/732] learning_rate: 0.184235 loss_vfl: 1.356439 loss_bbox: 0.779867 loss_dfl: 0.533399 loss: 2.644603 eta: 2 days, 8:45:45 batch_cost: 1.0801 data_cost: 0.0142 ips: 37.0333 images/s
[07/27 01:32:11] ppdet.engine INFO: Epoch: [52] [520/732] learning_rate: 0.184218 loss_vfl: 1.340458 loss_bbox: 0.749227 loss_dfl: 0.521625 loss: 2.590647 eta: 2 days, 8:45:19 batch_cost: 1.0990 data_cost: 0.0107 ips: 36.3974 images/s
[07/27 01:32:36] ppdet.engine INFO: Epoch: [52] [540/732] learning_rate: 0.184202 loss_vfl: 1.405018 loss_bbox: 0.782399 loss_dfl: 0.541022 loss: 2.753548 eta: 2 days, 8:44:49 batch_cost: 1.0488 data_cost: 0.0054 ips: 38.1401 images/s
[07/27 01:33:02] ppdet.engine INFO: Epoch: [52] [560/732] learning_rate: 0.184185 loss_vfl: 1.374229 loss_bbox: 0.785029 loss_dfl: 0.531160 loss: 2.661526 eta: 2 days, 8:44:18 batch_cost: 1.0305 data_cost: 0.0012 ips: 38.8151 images/s
[07/27 01:33:28] ppdet.engine INFO: Epoch: [52] [580/732] learning_rate: 0.184169 loss_vfl: 1.269701 loss_bbox: 0.732255 loss_dfl: 0.496346 loss: 2.500899 eta: 2 days, 8:43:51 batch_cost: 1.0860 data_cost: 0.0090 ips: 36.8320 images/s
[07/27 01:33:56] ppdet.engine INFO: Epoch: [52] [600/732] learning_rate: 0.184152 loss_vfl: 1.386402 loss_bbox: 0.805595 loss_dfl: 0.553380 loss: 2.759843 eta: 2 days, 8:43:26 batch_cost: 1.1048 data_cost: 0.0091 ips: 36.2064 images/s
[07/27 01:34:21] ppdet.engine INFO: Epoch: [52] [620/732] learning_rate: 0.184136 loss_vfl: 1.415841 loss_bbox: 0.779477 loss_dfl: 0.536514 loss: 2.707016 eta: 2 days, 8:43:01 batch_cost: 1.0976 data_cost: 0.0037 ips: 36.4447 images/s
[07/27 01:34:48] ppdet.engine INFO: Epoch: [52] [640/732] learning_rate: 0.184119 loss_vfl: 1.386398 loss_bbox: 0.803463 loss_dfl: 0.552003 loss: 2.760824 eta: 2 days, 8:42:32 batch_cost: 1.0641 data_cost: 0.0090 ips: 37.5913 images/s
[07/27 01:35:16] ppdet.engine INFO: Epoch: [52] [660/732] learning_rate: 0.184103 loss_vfl: 1.327128 loss_bbox: 0.757898 loss_dfl: 0.516715 loss: 2.587730 eta: 2 days, 8:42:10 batch_cost: 1.1314 data_cost: 0.0085 ips: 35.3558 images/s
[07/27 01:35:42] ppdet.engine INFO: Epoch: [52] [680/732] learning_rate: 0.184086 loss_vfl: 1.373731 loss_bbox: 0.760804 loss_dfl: 0.542929 loss: 2.679229 eta: 2 days, 8:41:45 batch_cost: 1.1091 data_cost: 0.0050 ips: 36.0669 images/s
[07/27 01:36:09] ppdet.engine INFO: Epoch: [52] [700/732] learning_rate: 0.184069 loss_vfl: 1.325001 loss_bbox: 0.787918 loss_dfl: 0.539557 loss: 2.677063 eta: 2 days, 8:41:26 batch_cost: 1.1585 data_cost: 0.0045 ips: 34.5268 images/s
[07/27 01:36:37] ppdet.engine INFO: Epoch: [52] [720/732] learning_rate: 0.184053 loss_vfl: 1.317425 loss_bbox: 0.765936 loss_dfl: 0.523618 loss: 2.598788 eta: 2 days, 8:41:02 batch_cost: 1.1207 data_cost: 0.0111 ips: 35.6927 images/s
[07/27 01:37:01] ppdet.engine INFO: Epoch: [53] [  0/732] learning_rate: 0.184043 loss_vfl: 1.322862 loss_bbox: 0.765563 loss_dfl: 0.527800 loss: 2.559885 eta: 2 days, 8:41:26 batch_cost: 1.5024 data_cost: 0.3079 ips: 26.6243 images/s
[07/27 01:37:28] ppdet.engine INFO: Epoch: [53] [ 20/732] learning_rate: 0.184026 loss_vfl: 1.309835 loss_bbox: 0.763293 loss_dfl: 0.525053 loss: 2.610719 eta: 2 days, 8:41:02 batch_cost: 1.1205 data_cost: 0.0039 ips: 35.6987 images/s
[07/27 01:37:56] ppdet.engine INFO: Epoch: [53] [ 40/732] learning_rate: 0.184010 loss_vfl: 1.377465 loss_bbox: 0.767703 loss_dfl: 0.544616 loss: 2.705408 eta: 2 days, 8:40:38 batch_cost: 1.1080 data_cost: 0.0063 ips: 36.1002 images/s
[07/27 01:38:24] ppdet.engine INFO: Epoch: [53] [ 60/732] learning_rate: 0.183993 loss_vfl: 1.366509 loss_bbox: 0.784931 loss_dfl: 0.541817 loss: 2.694971 eta: 2 days, 8:40:20 batch_cost: 1.1804 data_cost: 0.0005 ips: 33.8871 images/s
[07/27 01:38:50] ppdet.engine INFO: Epoch: [53] [ 80/732] learning_rate: 0.183976 loss_vfl: 1.333548 loss_bbox: 0.750670 loss_dfl: 0.515619 loss: 2.591645 eta: 2 days, 8:39:58 batch_cost: 1.1280 data_cost: 0.0046 ips: 35.4604 images/s
[07/27 01:39:18] ppdet.engine INFO: Epoch: [53] [100/732] learning_rate: 0.183960 loss_vfl: 1.452323 loss_bbox: 0.842317 loss_dfl: 0.577948 loss: 2.841594 eta: 2 days, 8:39:39 batch_cost: 1.1711 data_cost: 0.0036 ips: 34.1559 images/s
[07/27 01:39:45] ppdet.engine INFO: Epoch: [53] [120/732] learning_rate: 0.183943 loss_vfl: 1.367830 loss_bbox: 0.789518 loss_dfl: 0.544275 loss: 2.679596 eta: 2 days, 8:39:13 batch_cost: 1.0880 data_cost: 0.0047 ips: 36.7641 images/s
[07/27 01:40:13] ppdet.engine INFO: Epoch: [53] [140/732] learning_rate: 0.183927 loss_vfl: 1.343445 loss_bbox: 0.759142 loss_dfl: 0.528707 loss: 2.623163 eta: 2 days, 8:38:57 batch_cost: 1.1998 data_cost: 0.0062 ips: 33.3377 images/s
[07/27 01:40:41] ppdet.engine INFO: Epoch: [53] [160/732] learning_rate: 0.183910 loss_vfl: 1.350865 loss_bbox: 0.785906 loss_dfl: 0.531605 loss: 2.638872 eta: 2 days, 8:38:39 batch_cost: 1.1861 data_cost: 0.0104 ips: 33.7241 images/s
[07/27 01:41:05] ppdet.engine INFO: Epoch: [53] [180/732] learning_rate: 0.183893 loss_vfl: 1.335370 loss_bbox: 0.780854 loss_dfl: 0.529482 loss: 2.645501 eta: 2 days, 8:38:05 batch_cost: 1.0011 data_cost: 0.0093 ips: 39.9572 images/s
[07/27 01:41:34] ppdet.engine INFO: Epoch: [53] [200/732] learning_rate: 0.183877 loss_vfl: 1.357635 loss_bbox: 0.775641 loss_dfl: 0.531235 loss: 2.683323 eta: 2 days, 8:37:48 batch_cost: 1.1927 data_cost: 0.0077 ips: 33.5385 images/s
[07/27 01:42:01] ppdet.engine INFO: Epoch: [53] [220/732] learning_rate: 0.183860 loss_vfl: 1.339311 loss_bbox: 0.771893 loss_dfl: 0.528562 loss: 2.633792 eta: 2 days, 8:37:29 batch_cost: 1.1604 data_cost: 0.0076 ips: 34.4719 images/s
[07/27 01:42:25] ppdet.engine INFO: Epoch: [53] [240/732] learning_rate: 0.183843 loss_vfl: 1.326447 loss_bbox: 0.759797 loss_dfl: 0.510130 loss: 2.570518 eta: 2 days, 8:36:55 batch_cost: 1.0130 data_cost: 0.0107 ips: 39.4886 images/s
[07/27 01:42:52] ppdet.engine INFO: Epoch: [53] [260/732] learning_rate: 0.183827 loss_vfl: 1.394996 loss_bbox: 0.804694 loss_dfl: 0.554118 loss: 2.774529 eta: 2 days, 8:36:37 batch_cost: 1.1712 data_cost: 0.0076 ips: 34.1528 images/s
[07/27 01:43:18] ppdet.engine INFO: Epoch: [53] [280/732] learning_rate: 0.183810 loss_vfl: 1.367742 loss_bbox: 0.783134 loss_dfl: 0.535990 loss: 2.708958 eta: 2 days, 8:36:11 batch_cost: 1.1003 data_cost: 0.0083 ips: 36.3534 images/s
[07/27 01:43:44] ppdet.engine INFO: Epoch: [53] [300/732] learning_rate: 0.183793 loss_vfl: 1.376306 loss_bbox: 0.749001 loss_dfl: 0.536018 loss: 2.671907 eta: 2 days, 8:35:49 batch_cost: 1.1328 data_cost: 0.0096 ips: 35.3110 images/s
[07/27 01:44:12] ppdet.engine INFO: Epoch: [53] [320/732] learning_rate: 0.183777 loss_vfl: 1.361832 loss_bbox: 0.783887 loss_dfl: 0.537731 loss: 2.675546 eta: 2 days, 8:35:25 batch_cost: 1.1085 data_cost: 0.0168 ips: 36.0854 images/s
[07/27 01:44:39] ppdet.engine INFO: Epoch: [53] [340/732] learning_rate: 0.183760 loss_vfl: 1.312934 loss_bbox: 0.770912 loss_dfl: 0.518947 loss: 2.589125 eta: 2 days, 8:35:03 batch_cost: 1.1327 data_cost: 0.0060 ips: 35.3132 images/s
[07/27 01:45:05] ppdet.engine INFO: Epoch: [53] [360/732] learning_rate: 0.183743 loss_vfl: 1.302144 loss_bbox: 0.759244 loss_dfl: 0.535977 loss: 2.629583 eta: 2 days, 8:34:36 batch_cost: 1.0816 data_cost: 0.0065 ips: 36.9809 images/s
[07/27 01:45:33] ppdet.engine INFO: Epoch: [53] [380/732] learning_rate: 0.183726 loss_vfl: 1.322853 loss_bbox: 0.745349 loss_dfl: 0.519308 loss: 2.566319 eta: 2 days, 8:34:23 batch_cost: 1.2335 data_cost: 0.0054 ips: 32.4269 images/s
[07/27 01:45:59] ppdet.engine INFO: Epoch: [53] [400/732] learning_rate: 0.183710 loss_vfl: 1.352463 loss_bbox: 0.773907 loss_dfl: 0.516480 loss: 2.623079 eta: 2 days, 8:34:05 batch_cost: 1.1793 data_cost: 0.0048 ips: 33.9174 images/s
[07/27 01:46:26] ppdet.engine INFO: Epoch: [53] [420/732] learning_rate: 0.183693 loss_vfl: 1.286480 loss_bbox: 0.744821 loss_dfl: 0.509939 loss: 2.529037 eta: 2 days, 8:33:44 batch_cost: 1.1473 data_cost: 0.0077 ips: 34.8640 images/s
[07/27 01:46:52] ppdet.engine INFO: Epoch: [53] [440/732] learning_rate: 0.183676 loss_vfl: 1.325114 loss_bbox: 0.764164 loss_dfl: 0.522720 loss: 2.600518 eta: 2 days, 8:33:22 batch_cost: 1.1362 data_cost: 0.0115 ips: 35.2059 images/s
[07/27 01:47:18] ppdet.engine INFO: Epoch: [53] [460/732] learning_rate: 0.183659 loss_vfl: 1.332498 loss_bbox: 0.785342 loss_dfl: 0.539411 loss: 2.655099 eta: 2 days, 8:32:58 batch_cost: 1.1180 data_cost: 0.0065 ips: 35.7776 images/s
[07/27 01:47:44] ppdet.engine INFO: Epoch: [53] [480/732] learning_rate: 0.183643 loss_vfl: 1.324492 loss_bbox: 0.774984 loss_dfl: 0.519892 loss: 2.589636 eta: 2 days, 8:32:36 batch_cost: 1.1342 data_cost: 0.0059 ips: 35.2684 images/s
[07/27 01:48:11] ppdet.engine INFO: Epoch: [53] [500/732] learning_rate: 0.183626 loss_vfl: 1.336430 loss_bbox: 0.792705 loss_dfl: 0.536865 loss: 2.647417 eta: 2 days, 8:32:13 batch_cost: 1.1223 data_cost: 0.0042 ips: 35.6424 images/s
[07/27 01:48:37] ppdet.engine INFO: Epoch: [53] [520/732] learning_rate: 0.183609 loss_vfl: 1.392014 loss_bbox: 0.796094 loss_dfl: 0.550447 loss: 2.743221 eta: 2 days, 8:31:47 batch_cost: 1.0882 data_cost: 0.0138 ips: 36.7588 images/s
[07/27 01:49:04] ppdet.engine INFO: Epoch: [53] [540/732] learning_rate: 0.183592 loss_vfl: 1.291897 loss_bbox: 0.745159 loss_dfl: 0.510028 loss: 2.528420 eta: 2 days, 8:31:31 batch_cost: 1.2016 data_cost: 0.0060 ips: 33.2902 images/s
[07/27 01:49:29] ppdet.engine INFO: Epoch: [53] [560/732] learning_rate: 0.183575 loss_vfl: 1.316842 loss_bbox: 0.770600 loss_dfl: 0.524736 loss: 2.615412 eta: 2 days, 8:30:59 batch_cost: 1.0252 data_cost: 0.0046 ips: 39.0167 images/s
[07/27 01:49:56] ppdet.engine INFO: Epoch: [53] [580/732] learning_rate: 0.183559 loss_vfl: 1.350047 loss_bbox: 0.800665 loss_dfl: 0.542577 loss: 2.672465 eta: 2 days, 8:30:43 batch_cost: 1.2012 data_cost: 0.0089 ips: 33.2992 images/s
[07/27 01:50:23] ppdet.engine INFO: Epoch: [53] [600/732] learning_rate: 0.183542 loss_vfl: 1.331488 loss_bbox: 0.765812 loss_dfl: 0.526350 loss: 2.612205 eta: 2 days, 8:30:24 batch_cost: 1.1669 data_cost: 0.0012 ips: 34.2801 images/s
[07/27 01:50:50] ppdet.engine INFO: Epoch: [53] [620/732] learning_rate: 0.183525 loss_vfl: 1.379761 loss_bbox: 0.780781 loss_dfl: 0.536720 loss: 2.686126 eta: 2 days, 8:29:57 batch_cost: 1.0789 data_cost: 0.0076 ips: 37.0748 images/s
[07/27 01:51:16] ppdet.engine INFO: Epoch: [53] [640/732] learning_rate: 0.183508 loss_vfl: 1.335705 loss_bbox: 0.795504 loss_dfl: 0.539573 loss: 2.674357 eta: 2 days, 8:29:32 batch_cost: 1.1067 data_cost: 0.0077 ips: 36.1441 images/s
[07/27 01:51:42] ppdet.engine INFO: Epoch: [53] [660/732] learning_rate: 0.183491 loss_vfl: 1.331881 loss_bbox: 0.739745 loss_dfl: 0.515619 loss: 2.577126 eta: 2 days, 8:29:02 batch_cost: 1.0453 data_cost: 0.0081 ips: 38.2682 images/s
[07/27 01:52:09] ppdet.engine INFO: Epoch: [53] [680/732] learning_rate: 0.183474 loss_vfl: 1.397219 loss_bbox: 0.782746 loss_dfl: 0.539651 loss: 2.703201 eta: 2 days, 8:28:35 batch_cost: 1.0809 data_cost: 0.0091 ips: 37.0077 images/s
[07/27 01:52:35] ppdet.engine INFO: Epoch: [53] [700/732] learning_rate: 0.183458 loss_vfl: 1.349803 loss_bbox: 0.765049 loss_dfl: 0.533249 loss: 2.614558 eta: 2 days, 8:28:07 batch_cost: 1.0658 data_cost: 0.0049 ips: 37.5317 images/s
[07/27 01:53:03] ppdet.engine INFO: Epoch: [53] [720/732] learning_rate: 0.183441 loss_vfl: 1.371775 loss_bbox: 0.778644 loss_dfl: 0.526627 loss: 2.635548 eta: 2 days, 8:27:53 batch_cost: 1.2246 data_cost: 0.0060 ips: 32.6642 images/s
[07/27 01:53:25] ppdet.engine INFO: Epoch: [54] [  0/732] learning_rate: 0.183431 loss_vfl: 1.321282 loss_bbox: 0.736471 loss_dfl: 0.509797 loss: 2.571283 eta: 2 days, 8:28:04 batch_cost: 1.4459 data_cost: 0.3829 ips: 27.6646 images/s
[07/27 01:53:53] ppdet.engine INFO: Epoch: [54] [ 20/732] learning_rate: 0.183414 loss_vfl: 1.312340 loss_bbox: 0.753952 loss_dfl: 0.517040 loss: 2.579453 eta: 2 days, 8:27:47 batch_cost: 1.1874 data_cost: 0.0071 ips: 33.6874 images/s
[07/27 01:54:20] ppdet.engine INFO: Epoch: [54] [ 40/732] learning_rate: 0.183397 loss_vfl: 1.396123 loss_bbox: 0.755609 loss_dfl: 0.534398 loss: 2.677161 eta: 2 days, 8:27:29 batch_cost: 1.1720 data_cost: 0.0047 ips: 34.1290 images/s
[07/27 01:54:47] ppdet.engine INFO: Epoch: [54] [ 60/732] learning_rate: 0.183380 loss_vfl: 1.358597 loss_bbox: 0.805780 loss_dfl: 0.541353 loss: 2.702396 eta: 2 days, 8:27:01 batch_cost: 1.0717 data_cost: 0.0084 ips: 37.3256 images/s
[07/27 01:55:14] ppdet.engine INFO: Epoch: [54] [ 80/732] learning_rate: 0.183363 loss_vfl: 1.358143 loss_bbox: 0.791653 loss_dfl: 0.553824 loss: 2.711335 eta: 2 days, 8:26:34 batch_cost: 1.0794 data_cost: 0.0087 ips: 37.0572 images/s
[07/27 01:55:42] ppdet.engine INFO: Epoch: [54] [100/732] learning_rate: 0.183346 loss_vfl: 1.329926 loss_bbox: 0.734563 loss_dfl: 0.514995 loss: 2.567902 eta: 2 days, 8:26:13 batch_cost: 1.1527 data_cost: 0.0092 ips: 34.7026 images/s
[07/27 01:56:09] ppdet.engine INFO: Epoch: [54] [120/732] learning_rate: 0.183329 loss_vfl: 1.381765 loss_bbox: 0.770635 loss_dfl: 0.538331 loss: 2.694923 eta: 2 days, 8:25:45 batch_cost: 1.0669 data_cost: 0.0012 ips: 37.4928 images/s
[07/27 01:56:34] ppdet.engine INFO: Epoch: [54] [140/732] learning_rate: 0.183312 loss_vfl: 1.422687 loss_bbox: 0.768498 loss_dfl: 0.531037 loss: 2.717275 eta: 2 days, 8:25:13 batch_cost: 1.0212 data_cost: 0.0026 ips: 39.1708 images/s
[07/27 01:57:01] ppdet.engine INFO: Epoch: [54] [160/732] learning_rate: 0.183295 loss_vfl: 1.311335 loss_bbox: 0.784211 loss_dfl: 0.532325 loss: 2.612615 eta: 2 days, 8:24:50 batch_cost: 1.1275 data_cost: 0.0029 ips: 35.4753 images/s
[07/27 01:57:30] ppdet.engine INFO: Epoch: [54] [180/732] learning_rate: 0.183279 loss_vfl: 1.308232 loss_bbox: 0.737550 loss_dfl: 0.509175 loss: 2.557748 eta: 2 days, 8:24:39 batch_cost: 1.2553 data_cost: 0.0030 ips: 31.8658 images/s
[07/27 01:57:57] ppdet.engine INFO: Epoch: [54] [200/732] learning_rate: 0.183262 loss_vfl: 1.340085 loss_bbox: 0.740100 loss_dfl: 0.518664 loss: 2.585245 eta: 2 days, 8:24:23 batch_cost: 1.2000 data_cost: 0.0067 ips: 33.3333 images/s
[07/27 01:58:24] ppdet.engine INFO: Epoch: [54] [220/732] learning_rate: 0.183245 loss_vfl: 1.325259 loss_bbox: 0.761039 loss_dfl: 0.521198 loss: 2.581562 eta: 2 days, 8:24:05 batch_cost: 1.1857 data_cost: 0.0032 ips: 33.7357 images/s
[07/27 01:58:49] ppdet.engine INFO: Epoch: [54] [240/732] learning_rate: 0.183228 loss_vfl: 1.403924 loss_bbox: 0.781510 loss_dfl: 0.540645 loss: 2.757575 eta: 2 days, 8:23:33 batch_cost: 1.0250 data_cost: 0.0052 ips: 39.0240 images/s
[07/27 01:59:18] ppdet.engine INFO: Epoch: [54] [260/732] learning_rate: 0.183211 loss_vfl: 1.447097 loss_bbox: 0.794885 loss_dfl: 0.552189 loss: 2.774244 eta: 2 days, 8:23:12 batch_cost: 1.1482 data_cost: 0.0071 ips: 34.8357 images/s
[07/27 01:59:45] ppdet.engine INFO: Epoch: [54] [280/732] learning_rate: 0.183194 loss_vfl: 1.302329 loss_bbox: 0.735976 loss_dfl: 0.507310 loss: 2.547454 eta: 2 days, 8:22:50 batch_cost: 1.1246 data_cost: 0.0105 ips: 35.5670 images/s
[07/27 02:00:14] ppdet.engine INFO: Epoch: [54] [300/732] learning_rate: 0.183177 loss_vfl: 1.333015 loss_bbox: 0.759276 loss_dfl: 0.514588 loss: 2.606677 eta: 2 days, 8:22:39 batch_cost: 1.2598 data_cost: 0.0063 ips: 31.7508 images/s
[07/27 02:00:39] ppdet.engine INFO: Epoch: [54] [320/732] learning_rate: 0.183160 loss_vfl: 1.356368 loss_bbox: 0.772132 loss_dfl: 0.534745 loss: 2.656157 eta: 2 days, 8:22:14 batch_cost: 1.1057 data_cost: 0.0072 ips: 36.1750 images/s
[07/27 02:01:06] ppdet.engine INFO: Epoch: [54] [340/732] learning_rate: 0.183143 loss_vfl: 1.321954 loss_bbox: 0.749984 loss_dfl: 0.514434 loss: 2.586371 eta: 2 days, 8:21:48 batch_cost: 1.0932 data_cost: 0.0046 ips: 36.5893 images/s
[07/27 02:01:32] ppdet.engine INFO: Epoch: [54] [360/732] learning_rate: 0.183126 loss_vfl: 1.325032 loss_bbox: 0.750720 loss_dfl: 0.508418 loss: 2.572695 eta: 2 days, 8:21:23 batch_cost: 1.0969 data_cost: 0.0053 ips: 36.4659 images/s
[07/27 02:01:58] ppdet.engine INFO: Epoch: [54] [380/732] learning_rate: 0.183109 loss_vfl: 1.349201 loss_bbox: 0.781678 loss_dfl: 0.528712 loss: 2.685256 eta: 2 days, 8:20:53 batch_cost: 1.0531 data_cost: 0.0047 ips: 37.9846 images/s
[07/27 02:02:24] ppdet.engine INFO: Epoch: [54] [400/732] learning_rate: 0.183092 loss_vfl: 1.404214 loss_bbox: 0.766396 loss_dfl: 0.531153 loss: 2.704217 eta: 2 days, 8:20:25 batch_cost: 1.0697 data_cost: 0.0069 ips: 37.3952 images/s
[07/27 02:02:51] ppdet.engine INFO: Epoch: [54] [420/732] learning_rate: 0.183075 loss_vfl: 1.365658 loss_bbox: 0.795767 loss_dfl: 0.541277 loss: 2.697432 eta: 2 days, 8:20:02 batch_cost: 1.1158 data_cost: 0.0102 ips: 35.8476 images/s
[07/27 02:03:18] ppdet.engine INFO: Epoch: [54] [440/732] learning_rate: 0.183058 loss_vfl: 1.354238 loss_bbox: 0.772642 loss_dfl: 0.530242 loss: 2.655011 eta: 2 days, 8:19:34 batch_cost: 1.0764 data_cost: 0.0050 ips: 37.1610 images/s
[07/27 02:03:45] ppdet.engine INFO: Epoch: [54] [460/732] learning_rate: 0.183041 loss_vfl: 1.380027 loss_bbox: 0.786208 loss_dfl: 0.543504 loss: 2.711962 eta: 2 days, 8:19:05 batch_cost: 1.0469 data_cost: 0.0025 ips: 38.2066 images/s
[07/27 02:04:12] ppdet.engine INFO: Epoch: [54] [480/732] learning_rate: 0.183024 loss_vfl: 1.352183 loss_bbox: 0.773038 loss_dfl: 0.537319 loss: 2.658077 eta: 2 days, 8:18:41 batch_cost: 1.1153 data_cost: 0.0046 ips: 35.8632 images/s
[07/27 02:04:39] ppdet.engine INFO: Epoch: [54] [500/732] learning_rate: 0.183007 loss_vfl: 1.331424 loss_bbox: 0.763673 loss_dfl: 0.535014 loss: 2.659045 eta: 2 days, 8:18:15 batch_cost: 1.0914 data_cost: 0.0079 ips: 36.6510 images/s
[07/27 02:05:07] ppdet.engine INFO: Epoch: [54] [520/732] learning_rate: 0.182989 loss_vfl: 1.333012 loss_bbox: 0.753794 loss_dfl: 0.529088 loss: 2.650332 eta: 2 days, 8:17:56 batch_cost: 1.1690 data_cost: 0.0052 ips: 34.2176 images/s
[07/27 02:05:33] ppdet.engine INFO: Epoch: [54] [540/732] learning_rate: 0.182972 loss_vfl: 1.329404 loss_bbox: 0.778574 loss_dfl: 0.534970 loss: 2.655386 eta: 2 days, 8:17:38 batch_cost: 1.1856 data_cost: 0.0036 ips: 33.7385 images/s
[07/27 02:06:01] ppdet.engine INFO: Epoch: [54] [560/732] learning_rate: 0.182955 loss_vfl: 1.370096 loss_bbox: 0.768746 loss_dfl: 0.527993 loss: 2.669055 eta: 2 days, 8:17:20 batch_cost: 1.1732 data_cost: 0.0091 ips: 34.0941 images/s
[07/27 02:06:27] ppdet.engine INFO: Epoch: [54] [580/732] learning_rate: 0.182938 loss_vfl: 1.312872 loss_bbox: 0.749946 loss_dfl: 0.520127 loss: 2.588956 eta: 2 days, 8:16:52 batch_cost: 1.0748 data_cost: 0.0051 ips: 37.2164 images/s
[07/27 02:06:54] ppdet.engine INFO: Epoch: [54] [600/732] learning_rate: 0.182921 loss_vfl: 1.333067 loss_bbox: 0.764229 loss_dfl: 0.530931 loss: 2.631335 eta: 2 days, 8:16:29 batch_cost: 1.1197 data_cost: 0.0047 ips: 35.7233 images/s
[07/27 02:07:21] ppdet.engine INFO: Epoch: [54] [620/732] learning_rate: 0.182904 loss_vfl: 1.368841 loss_bbox: 0.751477 loss_dfl: 0.515062 loss: 2.643866 eta: 2 days, 8:16:04 batch_cost: 1.1073 data_cost: 0.0125 ips: 36.1255 images/s
[07/27 02:07:47] ppdet.engine INFO: Epoch: [54] [640/732] learning_rate: 0.182887 loss_vfl: 1.400878 loss_bbox: 0.807441 loss_dfl: 0.551722 loss: 2.781357 eta: 2 days, 8:15:37 batch_cost: 1.0784 data_cost: 0.0054 ips: 37.0927 images/s
[07/27 02:08:13] ppdet.engine INFO: Epoch: [54] [660/732] learning_rate: 0.182870 loss_vfl: 1.335889 loss_bbox: 0.773253 loss_dfl: 0.528811 loss: 2.658426 eta: 2 days, 8:15:09 batch_cost: 1.0639 data_cost: 0.0027 ips: 37.5970 images/s
[07/27 02:08:39] ppdet.engine INFO: Epoch: [54] [680/732] learning_rate: 0.182853 loss_vfl: 1.336839 loss_bbox: 0.745731 loss_dfl: 0.516186 loss: 2.549815 eta: 2 days, 8:14:42 batch_cost: 1.0789 data_cost: 0.0116 ips: 37.0745 images/s
[07/27 02:09:06] ppdet.engine INFO: Epoch: [54] [700/732] learning_rate: 0.182835 loss_vfl: 1.368405 loss_bbox: 0.785313 loss_dfl: 0.537885 loss: 2.697412 eta: 2 days, 8:14:18 batch_cost: 1.1078 data_cost: 0.0063 ips: 36.1078 images/s
[07/27 02:09:32] ppdet.engine INFO: Epoch: [54] [720/732] learning_rate: 0.182818 loss_vfl: 1.345374 loss_bbox: 0.759041 loss_dfl: 0.524191 loss: 2.619703 eta: 2 days, 8:13:47 batch_cost: 1.0428 data_cost: 0.0052 ips: 38.3570 images/s
[07/27 02:09:54] ppdet.engine INFO: Epoch: [55] [  0/732] learning_rate: 0.182808 loss_vfl: 1.347483 loss_bbox: 0.754931 loss_dfl: 0.529069 loss: 2.626762 eta: 2 days, 8:14:02 batch_cost: 1.3716 data_cost: 0.5163 ips: 29.1633 images/s
[07/27 02:10:23] ppdet.engine INFO: Epoch: [55] [ 20/732] learning_rate: 0.182791 loss_vfl: 1.342812 loss_bbox: 0.759545 loss_dfl: 0.525005 loss: 2.612599 eta: 2 days, 8:13:46 batch_cost: 1.2049 data_cost: 0.0055 ips: 33.1987 images/s
[07/27 02:10:49] ppdet.engine INFO: Epoch: [55] [ 40/732] learning_rate: 0.182774 loss_vfl: 1.347444 loss_bbox: 0.805923 loss_dfl: 0.546772 loss: 2.720679 eta: 2 days, 8:13:19 batch_cost: 1.0751 data_cost: 0.0087 ips: 37.2044 images/s
[07/27 02:11:18] ppdet.engine INFO: Epoch: [55] [ 60/732] learning_rate: 0.182757 loss_vfl: 1.366388 loss_bbox: 0.793524 loss_dfl: 0.530627 loss: 2.674961 eta: 2 days, 8:13:06 batch_cost: 1.2360 data_cost: 0.0014 ips: 32.3631 images/s
[07/27 02:11:45] ppdet.engine INFO: Epoch: [55] [ 80/732] learning_rate: 0.182739 loss_vfl: 1.316201 loss_bbox: 0.764072 loss_dfl: 0.525463 loss: 2.590082 eta: 2 days, 8:12:50 batch_cost: 1.2029 data_cost: 0.0035 ips: 33.2537 images/s
[07/27 02:12:13] ppdet.engine INFO: Epoch: [55] [100/732] learning_rate: 0.182722 loss_vfl: 1.379137 loss_bbox: 0.780237 loss_dfl: 0.534754 loss: 2.702697 eta: 2 days, 8:12:32 batch_cost: 1.1890 data_cost: 0.0027 ips: 33.6414 images/s
[07/27 02:12:41] ppdet.engine INFO: Epoch: [55] [120/732] learning_rate: 0.182705 loss_vfl: 1.314347 loss_bbox: 0.731563 loss_dfl: 0.502790 loss: 2.566343 eta: 2 days, 8:12:18 batch_cost: 1.2188 data_cost: 0.0030 ips: 32.8197 images/s
[07/27 02:13:08] ppdet.engine INFO: Epoch: [55] [140/732] learning_rate: 0.182688 loss_vfl: 1.397686 loss_bbox: 0.781867 loss_dfl: 0.539058 loss: 2.747763 eta: 2 days, 8:11:59 batch_cost: 1.1776 data_cost: 0.0057 ips: 33.9667 images/s
[07/27 02:13:34] ppdet.engine INFO: Epoch: [55] [160/732] learning_rate: 0.182671 loss_vfl: 1.399252 loss_bbox: 0.789271 loss_dfl: 0.539106 loss: 2.733559 eta: 2 days, 8:11:31 batch_cost: 1.0665 data_cost: 0.0092 ips: 37.5062 images/s
[07/27 02:14:01] ppdet.engine INFO: Epoch: [55] [180/732] learning_rate: 0.182653 loss_vfl: 1.353789 loss_bbox: 0.793046 loss_dfl: 0.531835 loss: 2.666334 eta: 2 days, 8:11:15 batch_cost: 1.2053 data_cost: 0.0041 ips: 33.1874 images/s
[07/27 02:14:27] ppdet.engine INFO: Epoch: [55] [200/732] learning_rate: 0.182636 loss_vfl: 1.331080 loss_bbox: 0.753125 loss_dfl: 0.513620 loss: 2.587792 eta: 2 days, 8:10:47 batch_cost: 1.0653 data_cost: 0.0039 ips: 37.5466 images/s
[07/27 02:14:54] ppdet.engine INFO: Epoch: [55] [220/732] learning_rate: 0.182619 loss_vfl: 1.326524 loss_bbox: 0.762797 loss_dfl: 0.524676 loss: 2.605731 eta: 2 days, 8:10:26 batch_cost: 1.1390 data_cost: 0.0108 ips: 35.1177 images/s
[07/27 02:15:21] ppdet.engine INFO: Epoch: [55] [240/732] learning_rate: 0.182602 loss_vfl: 1.319415 loss_bbox: 0.742161 loss_dfl: 0.509098 loss: 2.570003 eta: 2 days, 8:10:10 batch_cost: 1.2083 data_cost: 0.0036 ips: 33.1057 images/s
[07/27 02:15:49] ppdet.engine INFO: Epoch: [55] [260/732] learning_rate: 0.182584 loss_vfl: 1.294721 loss_bbox: 0.735753 loss_dfl: 0.508928 loss: 2.548064 eta: 2 days, 8:09:54 batch_cost: 1.2029 data_cost: 0.0021 ips: 33.2542 images/s
[07/27 02:16:16] ppdet.engine INFO: Epoch: [55] [280/732] learning_rate: 0.182567 loss_vfl: 1.345036 loss_bbox: 0.759653 loss_dfl: 0.522105 loss: 2.633664 eta: 2 days, 8:09:30 batch_cost: 1.1191 data_cost: 0.0057 ips: 35.7439 images/s
[07/27 02:16:43] ppdet.engine INFO: Epoch: [55] [300/732] learning_rate: 0.182550 loss_vfl: 1.409205 loss_bbox: 0.807299 loss_dfl: 0.554012 loss: 2.770277 eta: 2 days, 8:09:13 batch_cost: 1.1833 data_cost: 0.0142 ips: 33.8027 images/s
[07/27 02:17:11] ppdet.engine INFO: Epoch: [55] [320/732] learning_rate: 0.182533 loss_vfl: 1.369735 loss_bbox: 0.765877 loss_dfl: 0.536348 loss: 2.673112 eta: 2 days, 8:08:59 batch_cost: 1.2246 data_cost: 0.0024 ips: 32.6627 images/s
[07/27 02:17:38] ppdet.engine INFO: Epoch: [55] [340/732] learning_rate: 0.182515 loss_vfl: 1.353574 loss_bbox: 0.745080 loss_dfl: 0.525209 loss: 2.640892 eta: 2 days, 8:08:43 batch_cost: 1.2096 data_cost: 0.0039 ips: 33.0700 images/s
[07/27 02:18:05] ppdet.engine INFO: Epoch: [55] [360/732] learning_rate: 0.182498 loss_vfl: 1.339884 loss_bbox: 0.758066 loss_dfl: 0.516096 loss: 2.602255 eta: 2 days, 8:08:25 batch_cost: 1.1813 data_cost: 0.0020 ips: 33.8613 images/s
[07/27 02:18:31] ppdet.engine INFO: Epoch: [55] [380/732] learning_rate: 0.182481 loss_vfl: 1.337290 loss_bbox: 0.741843 loss_dfl: 0.513270 loss: 2.608428 eta: 2 days, 8:08:02 batch_cost: 1.1247 data_cost: 0.0081 ips: 35.5641 images/s
[07/27 02:18:58] ppdet.engine INFO: Epoch: [55] [400/732] learning_rate: 0.182463 loss_vfl: 1.324705 loss_bbox: 0.746172 loss_dfl: 0.516442 loss: 2.602541 eta: 2 days, 8:07:43 batch_cost: 1.1634 data_cost: 0.0064 ips: 34.3815 images/s
[07/27 02:19:26] ppdet.engine INFO: Epoch: [55] [420/732] learning_rate: 0.182446 loss_vfl: 1.327010 loss_bbox: 0.757969 loss_dfl: 0.518214 loss: 2.598332 eta: 2 days, 8:07:25 batch_cost: 1.1917 data_cost: 0.0040 ips: 33.5646 images/s
[07/27 02:19:52] ppdet.engine INFO: Epoch: [55] [440/732] learning_rate: 0.182429 loss_vfl: 1.326944 loss_bbox: 0.730344 loss_dfl: 0.493181 loss: 2.519963 eta: 2 days, 8:07:05 batch_cost: 1.1482 data_cost: 0.0080 ips: 34.8369 images/s
[07/27 02:20:19] ppdet.engine INFO: Epoch: [55] [460/732] learning_rate: 0.182412 loss_vfl: 1.325788 loss_bbox: 0.756463 loss_dfl: 0.533826 loss: 2.652067 eta: 2 days, 8:06:44 batch_cost: 1.1538 data_cost: 0.0036 ips: 34.6683 images/s
[07/27 02:20:47] ppdet.engine INFO: Epoch: [55] [480/732] learning_rate: 0.182394 loss_vfl: 1.372853 loss_bbox: 0.762458 loss_dfl: 0.528985 loss: 2.673471 eta: 2 days, 8:06:26 batch_cost: 1.1841 data_cost: 0.0054 ips: 33.7820 images/s
[07/27 02:21:13] ppdet.engine INFO: Epoch: [55] [500/732] learning_rate: 0.182377 loss_vfl: 1.309311 loss_bbox: 0.771138 loss_dfl: 0.514664 loss: 2.600862 eta: 2 days, 8:06:05 batch_cost: 1.1448 data_cost: 0.0023 ips: 34.9391 images/s
[07/27 02:21:41] ppdet.engine INFO: Epoch: [55] [520/732] learning_rate: 0.182360 loss_vfl: 1.371300 loss_bbox: 0.758406 loss_dfl: 0.529724 loss: 2.661723 eta: 2 days, 8:05:44 batch_cost: 1.1503 data_cost: 0.0073 ips: 34.7735 images/s
[07/27 02:22:09] ppdet.engine INFO: Epoch: [55] [540/732] learning_rate: 0.182342 loss_vfl: 1.386954 loss_bbox: 0.768023 loss_dfl: 0.533394 loss: 2.738675 eta: 2 days, 8:05:27 batch_cost: 1.1872 data_cost: 0.0050 ips: 33.6919 images/s
[07/27 02:22:36] ppdet.engine INFO: Epoch: [55] [560/732] learning_rate: 0.182325 loss_vfl: 1.369778 loss_bbox: 0.771978 loss_dfl: 0.535789 loss: 2.687202 eta: 2 days, 8:05:03 batch_cost: 1.1165 data_cost: 0.0048 ips: 35.8257 images/s
[07/27 02:23:03] ppdet.engine INFO: Epoch: [55] [580/732] learning_rate: 0.182307 loss_vfl: 1.363703 loss_bbox: 0.778149 loss_dfl: 0.542367 loss: 2.696931 eta: 2 days, 8:04:42 batch_cost: 1.1449 data_cost: 0.0073 ips: 34.9387 images/s
[07/27 02:23:30] ppdet.engine INFO: Epoch: [55] [600/732] learning_rate: 0.182290 loss_vfl: 1.347080 loss_bbox: 0.786058 loss_dfl: 0.543657 loss: 2.690757 eta: 2 days, 8:04:22 batch_cost: 1.1616 data_cost: 0.0041 ips: 34.4347 images/s
[07/27 02:23:58] ppdet.engine INFO: Epoch: [55] [620/732] learning_rate: 0.182273 loss_vfl: 1.401993 loss_bbox: 0.792143 loss_dfl: 0.545950 loss: 2.724295 eta: 2 days, 8:04:01 batch_cost: 1.1513 data_cost: 0.0045 ips: 34.7441 images/s
[07/27 02:24:25] ppdet.engine INFO: Epoch: [55] [640/732] learning_rate: 0.182255 loss_vfl: 1.311635 loss_bbox: 0.765069 loss_dfl: 0.528184 loss: 2.600857 eta: 2 days, 8:03:38 batch_cost: 1.1189 data_cost: 0.0073 ips: 35.7505 images/s
[07/27 02:24:52] ppdet.engine INFO: Epoch: [55] [660/732] learning_rate: 0.182238 loss_vfl: 1.343424 loss_bbox: 0.759563 loss_dfl: 0.519416 loss: 2.631904 eta: 2 days, 8:03:21 batch_cost: 1.1899 data_cost: 0.0050 ips: 33.6153 images/s
[07/27 02:25:19] ppdet.engine INFO: Epoch: [55] [680/732] learning_rate: 0.182220 loss_vfl: 1.344913 loss_bbox: 0.754190 loss_dfl: 0.518097 loss: 2.625017 eta: 2 days, 8:02:51 batch_cost: 1.0460 data_cost: 0.0075 ips: 38.2407 images/s
[07/27 02:25:44] ppdet.engine INFO: Epoch: [55] [700/732] learning_rate: 0.182203 loss_vfl: 1.355100 loss_bbox: 0.775424 loss_dfl: 0.529999 loss: 2.653881 eta: 2 days, 8:02:17 batch_cost: 1.0029 data_cost: 0.0036 ips: 39.8849 images/s
[07/27 02:26:11] ppdet.engine INFO: Epoch: [55] [720/732] learning_rate: 0.182186 loss_vfl: 1.393521 loss_bbox: 0.814217 loss_dfl: 0.563283 loss: 2.820107 eta: 2 days, 8:01:55 batch_cost: 1.1340 data_cost: 0.0062 ips: 35.2726 images/s
[07/27 02:26:37] ppdet.engine INFO: Epoch: [56] [  0/732] learning_rate: 0.182175 loss_vfl: 1.339549 loss_bbox: 0.747688 loss_dfl: 0.517862 loss: 2.624913 eta: 2 days, 8:02:20 batch_cost: 1.5122 data_cost: 0.6143 ips: 26.4514 images/s
[07/27 02:27:06] ppdet.engine INFO: Epoch: [56] [ 20/732] learning_rate: 0.182158 loss_vfl: 1.381551 loss_bbox: 0.784303 loss_dfl: 0.538502 loss: 2.710022 eta: 2 days, 8:02:03 batch_cost: 1.1875 data_cost: 0.0058 ips: 33.6835 images/s
[07/27 02:27:32] ppdet.engine INFO: Epoch: [56] [ 40/732] learning_rate: 0.182140 loss_vfl: 1.353793 loss_bbox: 0.750535 loss_dfl: 0.521054 loss: 2.627442 eta: 2 days, 8:01:41 batch_cost: 1.1401 data_cost: 0.0017 ips: 35.0846 images/s
[07/27 02:27:59] ppdet.engine INFO: Epoch: [56] [ 60/732] learning_rate: 0.182123 loss_vfl: 1.259995 loss_bbox: 0.733844 loss_dfl: 0.500562 loss: 2.514943 eta: 2 days, 8:01:22 batch_cost: 1.1720 data_cost: 0.0031 ips: 34.1303 images/s
[07/27 02:28:27] ppdet.engine INFO: Epoch: [56] [ 80/732] learning_rate: 0.182105 loss_vfl: 1.369261 loss_bbox: 0.772054 loss_dfl: 0.530226 loss: 2.690969 eta: 2 days, 8:01:05 batch_cost: 1.1888 data_cost: 0.0130 ips: 33.6482 images/s
[07/27 02:28:53] ppdet.engine INFO: Epoch: [56] [100/732] learning_rate: 0.182088 loss_vfl: 1.343014 loss_bbox: 0.784944 loss_dfl: 0.530735 loss: 2.666755 eta: 2 days, 8:00:35 batch_cost: 1.0489 data_cost: 0.0151 ips: 38.1360 images/s
[07/27 02:29:22] ppdet.engine INFO: Epoch: [56] [120/732] learning_rate: 0.182070 loss_vfl: 1.413007 loss_bbox: 0.788223 loss_dfl: 0.545728 loss: 2.780174 eta: 2 days, 8:00:12 batch_cost: 1.1251 data_cost: 0.0050 ips: 35.5531 images/s
[07/27 02:29:49] ppdet.engine INFO: Epoch: [56] [140/732] learning_rate: 0.182053 loss_vfl: 1.366455 loss_bbox: 0.760478 loss_dfl: 0.524147 loss: 2.674263 eta: 2 days, 7:59:55 batch_cost: 1.1881 data_cost: 0.0054 ips: 33.6660 images/s
[07/27 02:30:14] ppdet.engine INFO: Epoch: [56] [160/732] learning_rate: 0.182035 loss_vfl: 1.336908 loss_bbox: 0.755058 loss_dfl: 0.523599 loss: 2.613367 eta: 2 days, 7:59:28 batch_cost: 1.0779 data_cost: 0.0096 ips: 37.1108 images/s
[07/27 02:30:42] ppdet.engine INFO: Epoch: [56] [180/732] learning_rate: 0.182018 loss_vfl: 1.307851 loss_bbox: 0.760355 loss_dfl: 0.519437 loss: 2.589359 eta: 2 days, 7:59:01 batch_cost: 1.0849 data_cost: 0.0046 ips: 36.8692 images/s
[07/27 02:31:08] ppdet.engine INFO: Epoch: [56] [200/732] learning_rate: 0.182000 loss_vfl: 1.345713 loss_bbox: 0.772706 loss_dfl: 0.529169 loss: 2.642787 eta: 2 days, 7:58:27 batch_cost: 0.9961 data_cost: 0.0044 ips: 40.1586 images/s
[07/27 02:31:35] ppdet.engine INFO: Epoch: [56] [220/732] learning_rate: 0.181983 loss_vfl: 1.340463 loss_bbox: 0.736289 loss_dfl: 0.519419 loss: 2.607193 eta: 2 days, 7:58:04 batch_cost: 1.1305 data_cost: 0.0043 ips: 35.3831 images/s
[07/27 02:32:01] ppdet.engine INFO: Epoch: [56] [240/732] learning_rate: 0.181965 loss_vfl: 1.297350 loss_bbox: 0.725154 loss_dfl: 0.508377 loss: 2.528223 eta: 2 days, 7:57:39 batch_cost: 1.0953 data_cost: 0.0161 ips: 36.5190 images/s
[07/27 02:32:28] ppdet.engine INFO: Epoch: [56] [260/732] learning_rate: 0.181948 loss_vfl: 1.395445 loss_bbox: 0.793542 loss_dfl: 0.549971 loss: 2.766861 eta: 2 days, 7:57:17 batch_cost: 1.1340 data_cost: 0.0084 ips: 35.2746 images/s
[07/27 02:32:54] ppdet.engine INFO: Epoch: [56] [280/732] learning_rate: 0.181930 loss_vfl: 1.311721 loss_bbox: 0.765783 loss_dfl: 0.521046 loss: 2.602391 eta: 2 days, 7:56:49 batch_cost: 1.0731 data_cost: 0.0062 ips: 37.2738 images/s
[07/27 02:33:20] ppdet.engine INFO: Epoch: [56] [300/732] learning_rate: 0.181913 loss_vfl: 1.329091 loss_bbox: 0.728608 loss_dfl: 0.508382 loss: 2.577412 eta: 2 days, 7:56:24 batch_cost: 1.0926 data_cost: 0.0019 ips: 36.6086 images/s
[07/27 02:33:47] ppdet.engine INFO: Epoch: [56] [320/732] learning_rate: 0.181895 loss_vfl: 1.312085 loss_bbox: 0.743868 loss_dfl: 0.512233 loss: 2.580487 eta: 2 days, 7:55:58 batch_cost: 1.0979 data_cost: 0.0085 ips: 36.4327 images/s
[07/27 02:34:13] ppdet.engine INFO: Epoch: [56] [340/732] learning_rate: 0.181878 loss_vfl: 1.366751 loss_bbox: 0.757565 loss_dfl: 0.526021 loss: 2.639110 eta: 2 days, 7:55:33 batch_cost: 1.1007 data_cost: 0.0091 ips: 36.3393 images/s
[07/27 02:34:40] ppdet.engine INFO: Epoch: [56] [360/732] learning_rate: 0.181860 loss_vfl: 1.331158 loss_bbox: 0.769503 loss_dfl: 0.523891 loss: 2.604836 eta: 2 days, 7:55:10 batch_cost: 1.1210 data_cost: 0.0070 ips: 35.6810 images/s
[07/27 02:35:07] ppdet.engine INFO: Epoch: [56] [380/732] learning_rate: 0.181843 loss_vfl: 1.416062 loss_bbox: 0.792727 loss_dfl: 0.545269 loss: 2.750712 eta: 2 days, 7:54:47 batch_cost: 1.1210 data_cost: 0.0133 ips: 35.6810 images/s
[07/27 02:35:35] ppdet.engine INFO: Epoch: [56] [400/732] learning_rate: 0.181825 loss_vfl: 1.412843 loss_bbox: 0.815560 loss_dfl: 0.566100 loss: 2.791311 eta: 2 days, 7:54:22 batch_cost: 1.1106 data_cost: 0.0065 ips: 36.0151 images/s
[07/27 02:36:01] ppdet.engine INFO: Epoch: [56] [420/732] learning_rate: 0.181807 loss_vfl: 1.410613 loss_bbox: 0.806205 loss_dfl: 0.546425 loss: 2.724520 eta: 2 days, 7:53:55 batch_cost: 1.0753 data_cost: 0.0096 ips: 37.1991 images/s
[07/27 02:36:27] ppdet.engine INFO: Epoch: [56] [440/732] learning_rate: 0.181790 loss_vfl: 1.363766 loss_bbox: 0.781711 loss_dfl: 0.537152 loss: 2.668695 eta: 2 days, 7:53:24 batch_cost: 1.0286 data_cost: 0.0093 ips: 38.8873 images/s
[07/27 02:36:55] ppdet.engine INFO: Epoch: [56] [460/732] learning_rate: 0.181772 loss_vfl: 1.377672 loss_bbox: 0.788270 loss_dfl: 0.551991 loss: 2.720588 eta: 2 days, 7:52:59 batch_cost: 1.1028 data_cost: 0.0049 ips: 36.2704 images/s
[07/27 02:37:21] ppdet.engine INFO: Epoch: [56] [480/732] learning_rate: 0.181755 loss_vfl: 1.338282 loss_bbox: 0.760420 loss_dfl: 0.531658 loss: 2.631281 eta: 2 days, 7:52:35 batch_cost: 1.1159 data_cost: 0.0104 ips: 35.8456 images/s
[07/27 02:37:49] ppdet.engine INFO: Epoch: [56] [500/732] learning_rate: 0.181737 loss_vfl: 1.372350 loss_bbox: 0.767656 loss_dfl: 0.515892 loss: 2.606915 eta: 2 days, 7:52:15 batch_cost: 1.1610 data_cost: 0.0098 ips: 34.4539 images/s
[07/27 02:38:15] ppdet.engine INFO: Epoch: [56] [520/732] learning_rate: 0.181719 loss_vfl: 1.355147 loss_bbox: 0.761184 loss_dfl: 0.525500 loss: 2.648591 eta: 2 days, 7:51:47 batch_cost: 1.0639 data_cost: 0.0019 ips: 37.5988 images/s
[07/27 02:38:43] ppdet.engine INFO: Epoch: [56] [540/732] learning_rate: 0.181702 loss_vfl: 1.314450 loss_bbox: 0.723047 loss_dfl: 0.513003 loss: 2.555564 eta: 2 days, 7:51:26 batch_cost: 1.1417 data_cost: 0.0032 ips: 35.0364 images/s
[07/27 02:39:09] ppdet.engine INFO: Epoch: [56] [560/732] learning_rate: 0.181684 loss_vfl: 1.363463 loss_bbox: 0.790669 loss_dfl: 0.539693 loss: 2.691682 eta: 2 days, 7:50:56 batch_cost: 1.0513 data_cost: 0.0090 ips: 38.0476 images/s
[07/27 02:39:37] ppdet.engine INFO: Epoch: [56] [580/732] learning_rate: 0.181666 loss_vfl: 1.339882 loss_bbox: 0.782533 loss_dfl: 0.533724 loss: 2.653697 eta: 2 days, 7:50:44 batch_cost: 1.2434 data_cost: 0.0016 ips: 32.1692 images/s
[07/27 02:40:04] ppdet.engine INFO: Epoch: [56] [600/732] learning_rate: 0.181649 loss_vfl: 1.346965 loss_bbox: 0.786987 loss_dfl: 0.542188 loss: 2.683904 eta: 2 days, 7:50:16 batch_cost: 1.0708 data_cost: 0.0084 ips: 37.3549 images/s
[07/27 02:40:30] ppdet.engine INFO: Epoch: [56] [620/732] learning_rate: 0.181631 loss_vfl: 1.314792 loss_bbox: 0.745651 loss_dfl: 0.522909 loss: 2.602759 eta: 2 days, 7:49:49 batch_cost: 1.0733 data_cost: 0.0014 ips: 37.2679 images/s
[07/27 02:40:56] ppdet.engine INFO: Epoch: [56] [640/732] learning_rate: 0.181613 loss_vfl: 1.353348 loss_bbox: 0.776939 loss_dfl: 0.529250 loss: 2.686489 eta: 2 days, 7:49:26 batch_cost: 1.1327 data_cost: 0.0094 ips: 35.3144 images/s
[07/27 02:41:23] ppdet.engine INFO: Epoch: [56] [660/732] learning_rate: 0.181596 loss_vfl: 1.411305 loss_bbox: 0.790128 loss_dfl: 0.537731 loss: 2.721358 eta: 2 days, 7:48:58 batch_cost: 1.0601 data_cost: 0.0107 ips: 37.7326 images/s
[07/27 02:41:51] ppdet.engine INFO: Epoch: [56] [680/732] learning_rate: 0.181578 loss_vfl: 1.359555 loss_bbox: 0.765696 loss_dfl: 0.531892 loss: 2.661276 eta: 2 days, 7:48:43 batch_cost: 1.2159 data_cost: 0.0082 ips: 32.8974 images/s
[07/27 02:42:18] ppdet.engine INFO: Epoch: [56] [700/732] learning_rate: 0.181560 loss_vfl: 1.285503 loss_bbox: 0.747312 loss_dfl: 0.502155 loss: 2.538548 eta: 2 days, 7:48:19 batch_cost: 1.1114 data_cost: 0.0094 ips: 35.9896 images/s
[07/27 02:42:45] ppdet.engine INFO: Epoch: [56] [720/732] learning_rate: 0.181543 loss_vfl: 1.332923 loss_bbox: 0.771841 loss_dfl: 0.535405 loss: 2.670127 eta: 2 days, 7:47:43 batch_cost: 0.9822 data_cost: 0.0032 ips: 40.7266 images/s
[07/27 02:43:00] ppdet.engine INFO: Epoch: [57] [  0/732] learning_rate: 0.181532 loss_vfl: 1.342622 loss_bbox: 0.794186 loss_dfl: 0.546261 loss: 2.721599 eta: 2 days, 7:47:29 batch_cost: 1.0424 data_cost: 0.2983 ips: 38.3716 images/s
[07/27 02:43:35] ppdet.engine INFO: Epoch: [57] [ 20/732] learning_rate: 0.181514 loss_vfl: 1.368658 loss_bbox: 0.756895 loss_dfl: 0.530182 loss: 2.655134 eta: 2 days, 7:47:38 batch_cost: 1.5077 data_cost: 0.2724 ips: 26.5308 images/s
[07/27 02:44:01] ppdet.engine INFO: Epoch: [57] [ 40/732] learning_rate: 0.181497 loss_vfl: 1.386188 loss_bbox: 0.767371 loss_dfl: 0.536354 loss: 2.720894 eta: 2 days, 7:47:14 batch_cost: 1.1045 data_cost: 0.0052 ips: 36.2157 images/s
[07/27 02:44:29] ppdet.engine INFO: Epoch: [57] [ 60/732] learning_rate: 0.181479 loss_vfl: 1.335704 loss_bbox: 0.760247 loss_dfl: 0.526954 loss: 2.647023 eta: 2 days, 7:46:53 batch_cost: 1.1487 data_cost: 0.0151 ips: 34.8235 images/s
[07/27 02:44:56] ppdet.engine INFO: Epoch: [57] [ 80/732] learning_rate: 0.181461 loss_vfl: 1.345513 loss_bbox: 0.766740 loss_dfl: 0.530687 loss: 2.635479 eta: 2 days, 7:46:32 batch_cost: 1.1464 data_cost: 0.0071 ips: 34.8919 images/s
[07/27 02:45:24] ppdet.engine INFO: Epoch: [57] [100/732] learning_rate: 0.181443 loss_vfl: 1.385462 loss_bbox: 0.802246 loss_dfl: 0.538597 loss: 2.715093 eta: 2 days, 7:46:16 batch_cost: 1.2163 data_cost: 0.0065 ips: 32.8862 images/s
[07/27 02:45:51] ppdet.engine INFO: Epoch: [57] [120/732] learning_rate: 0.181426 loss_vfl: 1.404963 loss_bbox: 0.778843 loss_dfl: 0.529095 loss: 2.736640 eta: 2 days, 7:45:56 batch_cost: 1.1573 data_cost: 0.0040 ips: 34.5626 images/s
[07/27 02:46:18] ppdet.engine INFO: Epoch: [57] [140/732] learning_rate: 0.181408 loss_vfl: 1.307847 loss_bbox: 0.751299 loss_dfl: 0.509107 loss: 2.536026 eta: 2 days, 7:45:31 batch_cost: 1.1008 data_cost: 0.0083 ips: 36.3366 images/s
[07/27 02:46:46] ppdet.engine INFO: Epoch: [57] [160/732] learning_rate: 0.181390 loss_vfl: 1.334190 loss_bbox: 0.758370 loss_dfl: 0.523206 loss: 2.586606 eta: 2 days, 7:45:09 batch_cost: 1.1323 data_cost: 0.0040 ips: 35.3266 images/s
[07/27 02:47:11] ppdet.engine INFO: Epoch: [57] [180/732] learning_rate: 0.181372 loss_vfl: 1.373598 loss_bbox: 0.786464 loss_dfl: 0.538434 loss: 2.722977 eta: 2 days, 7:44:42 batch_cost: 1.0754 data_cost: 0.0012 ips: 37.1965 images/s
[07/27 02:47:40] ppdet.engine INFO: Epoch: [57] [200/732] learning_rate: 0.181355 loss_vfl: 1.432697 loss_bbox: 0.798766 loss_dfl: 0.544952 loss: 2.739422 eta: 2 days, 7:44:19 batch_cost: 1.1260 data_cost: 0.0044 ips: 35.5233 images/s
[07/27 02:48:06] ppdet.engine INFO: Epoch: [57] [220/732] learning_rate: 0.181337 loss_vfl: 1.394812 loss_bbox: 0.787629 loss_dfl: 0.541519 loss: 2.714137 eta: 2 days, 7:43:55 batch_cost: 1.1144 data_cost: 0.0051 ips: 35.8922 images/s
[07/27 02:48:32] ppdet.engine INFO: Epoch: [57] [240/732] learning_rate: 0.181319 loss_vfl: 1.340146 loss_bbox: 0.788056 loss_dfl: 0.536151 loss: 2.683541 eta: 2 days, 7:43:28 batch_cost: 1.0730 data_cost: 0.0034 ips: 37.2791 images/s
[07/27 02:49:00] ppdet.engine INFO: Epoch: [57] [260/732] learning_rate: 0.181301 loss_vfl: 1.390663 loss_bbox: 0.807511 loss_dfl: 0.553306 loss: 2.742101 eta: 2 days, 7:43:02 batch_cost: 1.0892 data_cost: 0.0074 ips: 36.7235 images/s
[07/27 02:49:26] ppdet.engine INFO: Epoch: [57] [280/732] learning_rate: 0.181283 loss_vfl: 1.401292 loss_bbox: 0.785900 loss_dfl: 0.535273 loss: 2.691691 eta: 2 days, 7:42:39 batch_cost: 1.1262 data_cost: 0.0033 ips: 35.5177 images/s
[07/27 02:49:53] ppdet.engine INFO: Epoch: [57] [300/732] learning_rate: 0.181266 loss_vfl: 1.362793 loss_bbox: 0.788404 loss_dfl: 0.536908 loss: 2.684085 eta: 2 days, 7:42:15 batch_cost: 1.1154 data_cost: 0.0121 ips: 35.8616 images/s
[07/27 02:50:20] ppdet.engine INFO: Epoch: [57] [320/732] learning_rate: 0.181248 loss_vfl: 1.390608 loss_bbox: 0.787209 loss_dfl: 0.537481 loss: 2.728875 eta: 2 days, 7:41:53 batch_cost: 1.1342 data_cost: 0.0069 ips: 35.2676 images/s
[07/27 02:50:46] ppdet.engine INFO: Epoch: [57] [340/732] learning_rate: 0.181230 loss_vfl: 1.307573 loss_bbox: 0.773477 loss_dfl: 0.527517 loss: 2.592494 eta: 2 days, 7:41:27 batch_cost: 1.0927 data_cost: 0.0034 ips: 36.6049 images/s
[07/27 02:51:14] ppdet.engine INFO: Epoch: [57] [360/732] learning_rate: 0.181212 loss_vfl: 1.348868 loss_bbox: 0.764123 loss_dfl: 0.536012 loss: 2.664503 eta: 2 days, 7:41:12 batch_cost: 1.2148 data_cost: 0.0062 ips: 32.9262 images/s
[07/27 02:51:40] ppdet.engine INFO: Epoch: [57] [380/732] learning_rate: 0.181194 loss_vfl: 1.355450 loss_bbox: 0.764837 loss_dfl: 0.529554 loss: 2.620201 eta: 2 days, 7:40:44 batch_cost: 1.0704 data_cost: 0.0051 ips: 37.3702 images/s
[07/27 02:52:07] ppdet.engine INFO: Epoch: [57] [400/732] learning_rate: 0.181176 loss_vfl: 1.334393 loss_bbox: 0.739489 loss_dfl: 0.519426 loss: 2.614342 eta: 2 days, 7:40:20 batch_cost: 1.1136 data_cost: 0.0060 ips: 35.9193 images/s
[07/27 02:52:35] ppdet.engine INFO: Epoch: [57] [420/732] learning_rate: 0.181159 loss_vfl: 1.419566 loss_bbox: 0.768774 loss_dfl: 0.545156 loss: 2.756670 eta: 2 days, 7:40:04 batch_cost: 1.2036 data_cost: 0.0058 ips: 33.2335 images/s
[07/27 02:53:02] ppdet.engine INFO: Epoch: [57] [440/732] learning_rate: 0.181141 loss_vfl: 1.381681 loss_bbox: 0.769338 loss_dfl: 0.542117 loss: 2.688685 eta: 2 days, 7:39:41 batch_cost: 1.1252 data_cost: 0.0041 ips: 35.5503 images/s
[07/27 02:53:28] ppdet.engine INFO: Epoch: [57] [460/732] learning_rate: 0.181123 loss_vfl: 1.332098 loss_bbox: 0.749402 loss_dfl: 0.510384 loss: 2.582533 eta: 2 days, 7:39:09 batch_cost: 1.0228 data_cost: 0.0071 ips: 39.1076 images/s
[07/27 02:53:55] ppdet.engine INFO: Epoch: [57] [480/732] learning_rate: 0.181105 loss_vfl: 1.362792 loss_bbox: 0.757093 loss_dfl: 0.521816 loss: 2.641990 eta: 2 days, 7:38:41 batch_cost: 1.0634 data_cost: 0.0095 ips: 37.6160 images/s
[07/27 02:54:22] ppdet.engine INFO: Epoch: [57] [500/732] learning_rate: 0.181087 loss_vfl: 1.377232 loss_bbox: 0.799322 loss_dfl: 0.538367 loss: 2.677778 eta: 2 days, 7:38:16 batch_cost: 1.0996 data_cost: 0.0050 ips: 36.3760 images/s
[07/27 02:54:48] ppdet.engine INFO: Epoch: [57] [520/732] learning_rate: 0.181069 loss_vfl: 1.252551 loss_bbox: 0.693516 loss_dfl: 0.483798 loss: 2.442806 eta: 2 days, 7:37:48 batch_cost: 1.0656 data_cost: 0.0040 ips: 37.5368 images/s
[07/27 02:55:15] ppdet.engine INFO: Epoch: [57] [540/732] learning_rate: 0.181051 loss_vfl: 1.351209 loss_bbox: 0.756590 loss_dfl: 0.524076 loss: 2.614512 eta: 2 days, 7:37:29 batch_cost: 1.1670 data_cost: 0.0082 ips: 34.2751 images/s
[07/27 02:55:41] ppdet.engine INFO: Epoch: [57] [560/732] learning_rate: 0.181033 loss_vfl: 1.381557 loss_bbox: 0.802342 loss_dfl: 0.540879 loss: 2.740776 eta: 2 days, 7:37:01 batch_cost: 1.0707 data_cost: 0.0059 ips: 37.3587 images/s
[07/27 02:56:08] ppdet.engine INFO: Epoch: [57] [580/732] learning_rate: 0.181015 loss_vfl: 1.320660 loss_bbox: 0.772413 loss_dfl: 0.527154 loss: 2.630409 eta: 2 days, 7:36:40 batch_cost: 1.1390 data_cost: 0.0079 ips: 35.1171 images/s
[07/27 02:56:36] ppdet.engine INFO: Epoch: [57] [600/732] learning_rate: 0.180997 loss_vfl: 1.385417 loss_bbox: 0.829351 loss_dfl: 0.560181 loss: 2.772967 eta: 2 days, 7:36:21 batch_cost: 1.1757 data_cost: 0.0035 ips: 34.0210 images/s
[07/27 02:57:02] ppdet.engine INFO: Epoch: [57] [620/732] learning_rate: 0.180980 loss_vfl: 1.318938 loss_bbox: 0.728271 loss_dfl: 0.505234 loss: 2.561328 eta: 2 days, 7:36:01 batch_cost: 1.1612 data_cost: 0.0048 ips: 34.4462 images/s
[07/27 02:57:30] ppdet.engine INFO: Epoch: [57] [640/732] learning_rate: 0.180962 loss_vfl: 1.374198 loss_bbox: 0.772167 loss_dfl: 0.525705 loss: 2.675381 eta: 2 days, 7:35:36 batch_cost: 1.1028 data_cost: 0.0026 ips: 36.2726 images/s
[07/27 02:57:57] ppdet.engine INFO: Epoch: [57] [660/732] learning_rate: 0.180944 loss_vfl: 1.403239 loss_bbox: 0.782607 loss_dfl: 0.549804 loss: 2.753951 eta: 2 days, 7:35:11 batch_cost: 1.0922 data_cost: 0.0004 ips: 36.6235 images/s
[07/27 02:58:24] ppdet.engine INFO: Epoch: [57] [680/732] learning_rate: 0.180926 loss_vfl: 1.376158 loss_bbox: 0.773430 loss_dfl: 0.524920 loss: 2.665441 eta: 2 days, 7:34:47 batch_cost: 1.1227 data_cost: 0.0088 ips: 35.6295 images/s
[07/27 02:58:52] ppdet.engine INFO: Epoch: [57] [700/732] learning_rate: 0.180908 loss_vfl: 1.383511 loss_bbox: 0.815348 loss_dfl: 0.557890 loss: 2.777041 eta: 2 days, 7:34:20 batch_cost: 1.0728 data_cost: 0.0078 ips: 37.2846 images/s
[07/27 02:59:17] ppdet.engine INFO: Epoch: [57] [720/732] learning_rate: 0.180890 loss_vfl: 1.386529 loss_bbox: 0.782536 loss_dfl: 0.547596 loss: 2.719185 eta: 2 days, 7:33:53 batch_cost: 1.0780 data_cost: 0.0062 ips: 37.1045 images/s
[07/27 02:59:39] ppdet.engine INFO: Epoch: [58] [  0/732] learning_rate: 0.180879 loss_vfl: 1.323481 loss_bbox: 0.744033 loss_dfl: 0.514354 loss: 2.615864 eta: 2 days, 7:34:02 batch_cost: 1.4220 data_cost: 0.4865 ips: 28.1298 images/s
[07/27 03:00:10] ppdet.engine INFO: Epoch: [58] [ 20/732] learning_rate: 0.180861 loss_vfl: 1.376225 loss_bbox: 0.800595 loss_dfl: 0.546169 loss: 2.729102 eta: 2 days, 7:33:51 batch_cost: 1.2740 data_cost: 0.0083 ips: 31.3975 images/s
[07/27 03:00:37] ppdet.engine INFO: Epoch: [58] [ 40/732] learning_rate: 0.180843 loss_vfl: 1.353463 loss_bbox: 0.742741 loss_dfl: 0.519835 loss: 2.641749 eta: 2 days, 7:33:26 batch_cost: 1.0949 data_cost: 0.0069 ips: 36.5315 images/s
[07/27 03:01:05] ppdet.engine INFO: Epoch: [58] [ 60/732] learning_rate: 0.180825 loss_vfl: 1.333531 loss_bbox: 0.747579 loss_dfl: 0.519961 loss: 2.615297 eta: 2 days, 7:33:03 batch_cost: 1.1338 data_cost: 0.0044 ips: 35.2780 images/s
[07/27 03:01:29] ppdet.engine INFO: Epoch: [58] [ 80/732] learning_rate: 0.180807 loss_vfl: 1.324093 loss_bbox: 0.767011 loss_dfl: 0.520243 loss: 2.629567 eta: 2 days, 7:32:28 batch_cost: 0.9768 data_cost: 0.0117 ips: 40.9482 images/s
[07/27 03:01:59] ppdet.engine INFO: Epoch: [58] [100/732] learning_rate: 0.180789 loss_vfl: 1.364033 loss_bbox: 0.789670 loss_dfl: 0.541838 loss: 2.697829 eta: 2 days, 7:32:20 batch_cost: 1.2989 data_cost: 0.0106 ips: 30.7947 images/s
[07/27 03:02:25] ppdet.engine INFO: Epoch: [58] [120/732] learning_rate: 0.180771 loss_vfl: 1.304637 loss_bbox: 0.719627 loss_dfl: 0.507241 loss: 2.512049 eta: 2 days, 7:31:56 batch_cost: 1.1117 data_cost: 0.0044 ips: 35.9812 images/s
[07/27 03:02:53] ppdet.engine INFO: Epoch: [58] [140/732] learning_rate: 0.180753 loss_vfl: 1.379039 loss_bbox: 0.761329 loss_dfl: 0.522977 loss: 2.684127 eta: 2 days, 7:31:44 batch_cost: 1.2569 data_cost: 0.0043 ips: 31.8237 images/s
[07/27 03:03:19] ppdet.engine INFO: Epoch: [58] [160/732] learning_rate: 0.180735 loss_vfl: 1.387507 loss_bbox: 0.770845 loss_dfl: 0.529433 loss: 2.660450 eta: 2 days, 7:31:19 batch_cost: 1.1063 data_cost: 0.0035 ips: 36.1561 images/s
[07/27 03:03:45] ppdet.engine INFO: Epoch: [58] [180/732] learning_rate: 0.180717 loss_vfl: 1.392437 loss_bbox: 0.780459 loss_dfl: 0.534427 loss: 2.664750 eta: 2 days, 7:30:52 batch_cost: 1.0793 data_cost: 0.0054 ips: 37.0598 images/s
[07/27 03:04:13] ppdet.engine INFO: Epoch: [58] [200/732] learning_rate: 0.180699 loss_vfl: 1.350174 loss_bbox: 0.773552 loss_dfl: 0.518984 loss: 2.629720 eta: 2 days, 7:30:37 batch_cost: 1.2126 data_cost: 0.0030 ips: 32.9877 images/s
[07/27 03:04:42] ppdet.engine INFO: Epoch: [58] [220/732] learning_rate: 0.180681 loss_vfl: 1.364589 loss_bbox: 0.795364 loss_dfl: 0.546679 loss: 2.741688 eta: 2 days, 7:30:17 batch_cost: 1.1609 data_cost: 0.0068 ips: 34.4562 images/s
[07/27 03:05:09] ppdet.engine INFO: Epoch: [58] [240/732] learning_rate: 0.180663 loss_vfl: 1.403758 loss_bbox: 0.782513 loss_dfl: 0.542714 loss: 2.738097 eta: 2 days, 7:29:51 batch_cost: 1.0946 data_cost: 0.0063 ips: 36.5434 images/s
[07/27 03:05:36] ppdet.engine INFO: Epoch: [58] [260/732] learning_rate: 0.180645 loss_vfl: 1.358249 loss_bbox: 0.751569 loss_dfl: 0.523562 loss: 2.637677 eta: 2 days, 7:29:28 batch_cost: 1.1153 data_cost: 0.0045 ips: 35.8652 images/s
[07/27 03:06:03] ppdet.engine INFO: Epoch: [58] [280/732] learning_rate: 0.180626 loss_vfl: 1.357783 loss_bbox: 0.745984 loss_dfl: 0.524557 loss: 2.631320 eta: 2 days, 7:29:04 batch_cost: 1.1125 data_cost: 0.0071 ips: 35.9540 images/s
[07/27 03:06:30] ppdet.engine INFO: Epoch: [58] [300/732] learning_rate: 0.180608 loss_vfl: 1.320241 loss_bbox: 0.744077 loss_dfl: 0.523077 loss: 2.595285 eta: 2 days, 7:28:47 batch_cost: 1.2076 data_cost: 0.0043 ips: 33.1223 images/s
[07/27 03:06:57] ppdet.engine INFO: Epoch: [58] [320/732] learning_rate: 0.180590 loss_vfl: 1.386263 loss_bbox: 0.802954 loss_dfl: 0.547539 loss: 2.718261 eta: 2 days, 7:28:23 batch_cost: 1.1127 data_cost: 0.0104 ips: 35.9487 images/s
[07/27 03:07:24] ppdet.engine INFO: Epoch: [58] [340/732] learning_rate: 0.180572 loss_vfl: 1.350106 loss_bbox: 0.783644 loss_dfl: 0.537935 loss: 2.683028 eta: 2 days, 7:28:04 batch_cost: 1.1640 data_cost: 0.0034 ips: 34.3646 images/s
[07/27 03:07:51] ppdet.engine INFO: Epoch: [58] [360/732] learning_rate: 0.180554 loss_vfl: 1.384711 loss_bbox: 0.794800 loss_dfl: 0.534649 loss: 2.686328 eta: 2 days, 7:27:41 batch_cost: 1.1251 data_cost: 0.0055 ips: 35.5533 images/s
[07/27 03:08:16] ppdet.engine INFO: Epoch: [58] [380/732] learning_rate: 0.180536 loss_vfl: 1.358081 loss_bbox: 0.796258 loss_dfl: 0.541551 loss: 2.698437 eta: 2 days, 7:27:09 batch_cost: 1.0142 data_cost: 0.0089 ips: 39.4384 images/s
[07/27 03:08:44] ppdet.engine INFO: Epoch: [58] [400/732] learning_rate: 0.180518 loss_vfl: 1.337430 loss_bbox: 0.779011 loss_dfl: 0.542147 loss: 2.685629 eta: 2 days, 7:26:43 batch_cost: 1.0961 data_cost: 0.0063 ips: 36.4926 images/s
[07/27 03:09:09] ppdet.engine INFO: Epoch: [58] [420/732] learning_rate: 0.180500 loss_vfl: 1.333940 loss_bbox: 0.769584 loss_dfl: 0.532872 loss: 2.622476 eta: 2 days, 7:26:12 batch_cost: 1.0183 data_cost: 0.0067 ips: 39.2803 images/s
[07/27 03:09:37] ppdet.engine INFO: Epoch: [58] [440/732] learning_rate: 0.180482 loss_vfl: 1.396299 loss_bbox: 0.773855 loss_dfl: 0.543607 loss: 2.735012 eta: 2 days, 7:25:50 batch_cost: 1.1417 data_cost: 0.0055 ips: 35.0351 images/s
[07/27 03:10:02] ppdet.engine INFO: Epoch: [58] [460/732] learning_rate: 0.180463 loss_vfl: 1.377222 loss_bbox: 0.768112 loss_dfl: 0.538100 loss: 2.707724 eta: 2 days, 7:25:20 batch_cost: 1.0427 data_cost: 0.0053 ips: 38.3605 images/s
[07/27 03:10:28] ppdet.engine INFO: Epoch: [58] [480/732] learning_rate: 0.180445 loss_vfl: 1.379555 loss_bbox: 0.769377 loss_dfl: 0.526612 loss: 2.683603 eta: 2 days, 7:24:57 batch_cost: 1.1232 data_cost: 0.0060 ips: 35.6134 images/s
[07/27 03:10:55] ppdet.engine INFO: Epoch: [58] [500/732] learning_rate: 0.180427 loss_vfl: 1.332929 loss_bbox: 0.748814 loss_dfl: 0.517905 loss: 2.598565 eta: 2 days, 7:24:38 batch_cost: 1.1694 data_cost: 0.0042 ips: 34.2047 images/s
[07/27 03:11:21] ppdet.engine INFO: Epoch: [58] [520/732] learning_rate: 0.180409 loss_vfl: 1.303803 loss_bbox: 0.752600 loss_dfl: 0.519116 loss: 2.589936 eta: 2 days, 7:24:09 batch_cost: 1.0496 data_cost: 0.0102 ips: 38.1099 images/s
[07/27 03:11:48] ppdet.engine INFO: Epoch: [58] [540/732] learning_rate: 0.180391 loss_vfl: 1.373509 loss_bbox: 0.773101 loss_dfl: 0.533820 loss: 2.678611 eta: 2 days, 7:23:43 batch_cost: 1.0937 data_cost: 0.0034 ips: 36.5732 images/s
[07/27 03:12:16] ppdet.engine INFO: Epoch: [58] [560/732] learning_rate: 0.180372 loss_vfl: 1.355693 loss_bbox: 0.758164 loss_dfl: 0.529433 loss: 2.662820 eta: 2 days, 7:23:26 batch_cost: 1.1891 data_cost: 0.0051 ips: 33.6382 images/s
[07/27 03:12:42] ppdet.engine INFO: Epoch: [58] [580/732] learning_rate: 0.180354 loss_vfl: 1.393485 loss_bbox: 0.800976 loss_dfl: 0.558348 loss: 2.784366 eta: 2 days, 7:23:00 batch_cost: 1.0945 data_cost: 0.0044 ips: 36.5459 images/s
[07/27 03:13:09] ppdet.engine INFO: Epoch: [58] [600/732] learning_rate: 0.180336 loss_vfl: 1.353775 loss_bbox: 0.763198 loss_dfl: 0.525596 loss: 2.628133 eta: 2 days, 7:22:39 batch_cost: 1.1490 data_cost: 0.0038 ips: 34.8136 images/s
[07/27 03:13:38] ppdet.engine INFO: Epoch: [58] [620/732] learning_rate: 0.180318 loss_vfl: 1.368485 loss_bbox: 0.810031 loss_dfl: 0.546714 loss: 2.719937 eta: 2 days, 7:22:20 batch_cost: 1.1754 data_cost: 0.0077 ips: 34.0309 images/s
[07/27 03:14:04] ppdet.engine INFO: Epoch: [58] [640/732] learning_rate: 0.180300 loss_vfl: 1.343310 loss_bbox: 0.764647 loss_dfl: 0.533520 loss: 2.668343 eta: 2 days, 7:21:50 batch_cost: 1.0305 data_cost: 0.0090 ips: 38.8173 images/s
[07/27 03:14:31] ppdet.engine INFO: Epoch: [58] [660/732] learning_rate: 0.180281 loss_vfl: 1.366750 loss_bbox: 0.757064 loss_dfl: 0.529456 loss: 2.644096 eta: 2 days, 7:21:25 batch_cost: 1.1040 data_cost: 0.0131 ips: 36.2309 images/s
[07/27 03:14:58] ppdet.engine INFO: Epoch: [58] [680/732] learning_rate: 0.180263 loss_vfl: 1.344190 loss_bbox: 0.755936 loss_dfl: 0.522418 loss: 2.633103 eta: 2 days, 7:21:05 batch_cost: 1.1648 data_cost: 0.0049 ips: 34.3397 images/s
[07/27 03:15:26] ppdet.engine INFO: Epoch: [58] [700/732] learning_rate: 0.180245 loss_vfl: 1.377228 loss_bbox: 0.767378 loss_dfl: 0.525692 loss: 2.647048 eta: 2 days, 7:20:48 batch_cost: 1.1978 data_cost: 0.0038 ips: 33.3950 images/s
[07/27 03:15:54] ppdet.engine INFO: Epoch: [58] [720/732] learning_rate: 0.180227 loss_vfl: 1.368524 loss_bbox: 0.780282 loss_dfl: 0.537951 loss: 2.702239 eta: 2 days, 7:20:29 batch_cost: 1.1614 data_cost: 0.0093 ips: 34.4410 images/s
[07/27 03:16:14] ppdet.engine INFO: Epoch: [59] [  0/732] learning_rate: 0.180216 loss_vfl: 1.326227 loss_bbox: 0.742515 loss_dfl: 0.508557 loss: 2.568750 eta: 2 days, 7:20:32 batch_cost: 1.3271 data_cost: 0.4479 ips: 30.1412 images/s
[07/27 03:16:45] ppdet.engine INFO: Epoch: [59] [ 20/732] learning_rate: 0.180198 loss_vfl: 1.278115 loss_bbox: 0.745029 loss_dfl: 0.511798 loss: 2.569047 eta: 2 days, 7:20:20 batch_cost: 1.2593 data_cost: 0.0034 ips: 31.7630 images/s
[07/27 03:17:12] ppdet.engine INFO: Epoch: [59] [ 40/732] learning_rate: 0.180179 loss_vfl: 1.349879 loss_bbox: 0.768787 loss_dfl: 0.532210 loss: 2.621497 eta: 2 days, 7:19:57 batch_cost: 1.1191 data_cost: 0.0081 ips: 35.7424 images/s
[07/27 03:17:39] ppdet.engine INFO: Epoch: [59] [ 60/732] learning_rate: 0.180161 loss_vfl: 1.382725 loss_bbox: 0.791552 loss_dfl: 0.540091 loss: 2.695562 eta: 2 days, 7:19:35 batch_cost: 1.1464 data_cost: 0.0097 ips: 34.8907 images/s
[07/27 03:18:06] ppdet.engine INFO: Epoch: [59] [ 80/732] learning_rate: 0.180143 loss_vfl: 1.328991 loss_bbox: 0.789197 loss_dfl: 0.536950 loss: 2.668903 eta: 2 days, 7:19:14 batch_cost: 1.1411 data_cost: 0.0097 ips: 35.0538 images/s
[07/27 03:18:34] ppdet.engine INFO: Epoch: [59] [100/732] learning_rate: 0.180124 loss_vfl: 1.370193 loss_bbox: 0.791323 loss_dfl: 0.547001 loss: 2.726777 eta: 2 days, 7:18:56 batch_cost: 1.1880 data_cost: 0.0069 ips: 33.6703 images/s
[07/27 03:19:01] ppdet.engine INFO: Epoch: [59] [120/732] learning_rate: 0.180106 loss_vfl: 1.342274 loss_bbox: 0.751679 loss_dfl: 0.514812 loss: 2.613229 eta: 2 days, 7:18:30 batch_cost: 1.0892 data_cost: 0.0079 ips: 36.7242 images/s
[07/27 03:19:27] ppdet.engine INFO: Epoch: [59] [140/732] learning_rate: 0.180088 loss_vfl: 1.320359 loss_bbox: 0.776877 loss_dfl: 0.524173 loss: 2.628183 eta: 2 days, 7:18:02 batch_cost: 1.0591 data_cost: 0.0132 ips: 37.7692 images/s
[07/27 03:19:54] ppdet.engine INFO: Epoch: [59] [160/732] learning_rate: 0.180069 loss_vfl: 1.326915 loss_bbox: 0.742467 loss_dfl: 0.515905 loss: 2.582714 eta: 2 days, 7:17:41 batch_cost: 1.1530 data_cost: 0.0059 ips: 34.6921 images/s
[07/27 03:20:22] ppdet.engine INFO: Epoch: [59] [180/732] learning_rate: 0.180051 loss_vfl: 1.334240 loss_bbox: 0.733339 loss_dfl: 0.514982 loss: 2.626553 eta: 2 days, 7:17:22 batch_cost: 1.1680 data_cost: 0.0385 ips: 34.2472 images/s
[07/27 03:20:49] ppdet.engine INFO: Epoch: [59] [200/732] learning_rate: 0.180033 loss_vfl: 1.343781 loss_bbox: 0.766072 loss_dfl: 0.530288 loss: 2.639544 eta: 2 days, 7:16:57 batch_cost: 1.1016 data_cost: 0.0073 ips: 36.3111 images/s
[07/27 03:21:16] ppdet.engine INFO: Epoch: [59] [220/732] learning_rate: 0.180015 loss_vfl: 1.358924 loss_bbox: 0.788157 loss_dfl: 0.539523 loss: 2.660439 eta: 2 days, 7:16:34 batch_cost: 1.1256 data_cost: 0.0055 ips: 35.5370 images/s
[07/27 03:21:43] ppdet.engine INFO: Epoch: [59] [240/732] learning_rate: 0.179996 loss_vfl: 1.350220 loss_bbox: 0.764128 loss_dfl: 0.533294 loss: 2.659596 eta: 2 days, 7:16:11 batch_cost: 1.1198 data_cost: 0.0038 ips: 35.7210 images/s
[07/27 03:22:10] ppdet.engine INFO: Epoch: [59] [260/732] learning_rate: 0.179978 loss_vfl: 1.264847 loss_bbox: 0.717969 loss_dfl: 0.491280 loss: 2.492562 eta: 2 days, 7:15:41 batch_cost: 1.0416 data_cost: 0.0070 ips: 38.4008 images/s
[07/27 03:22:37] ppdet.engine INFO: Epoch: [59] [280/732] learning_rate: 0.179959 loss_vfl: 1.367694 loss_bbox: 0.776947 loss_dfl: 0.537147 loss: 2.711255 eta: 2 days, 7:15:21 batch_cost: 1.1576 data_cost: 0.0043 ips: 34.5548 images/s
[07/27 03:23:04] ppdet.engine INFO: Epoch: [59] [300/732] learning_rate: 0.179941 loss_vfl: 1.329673 loss_bbox: 0.761874 loss_dfl: 0.525198 loss: 2.624682 eta: 2 days, 7:14:57 batch_cost: 1.1219 data_cost: 0.0060 ips: 35.6526 images/s
[07/27 03:23:31] ppdet.engine INFO: Epoch: [59] [320/732] learning_rate: 0.179923 loss_vfl: 1.374527 loss_bbox: 0.792933 loss_dfl: 0.541003 loss: 2.727022 eta: 2 days, 7:14:38 batch_cost: 1.1649 data_cost: 0.0026 ips: 34.3389 images/s
[07/27 03:23:56] ppdet.engine INFO: Epoch: [59] [340/732] learning_rate: 0.179904 loss_vfl: 1.328138 loss_bbox: 0.771742 loss_dfl: 0.530914 loss: 2.620003 eta: 2 days, 7:14:07 batch_cost: 1.0245 data_cost: 0.0039 ips: 39.0429 images/s
[07/27 03:24:23] ppdet.engine INFO: Epoch: [59] [360/732] learning_rate: 0.179886 loss_vfl: 1.283941 loss_bbox: 0.731576 loss_dfl: 0.501316 loss: 2.510859 eta: 2 days, 7:13:46 batch_cost: 1.1594 data_cost: 0.0048 ips: 34.4993 images/s
[07/27 03:24:50] ppdet.engine INFO: Epoch: [59] [380/732] learning_rate: 0.179868 loss_vfl: 1.319194 loss_bbox: 0.710010 loss_dfl: 0.505271 loss: 2.554878 eta: 2 days, 7:13:22 batch_cost: 1.1090 data_cost: 0.0033 ips: 36.0674 images/s
[07/27 03:25:18] ppdet.engine INFO: Epoch: [59] [400/732] learning_rate: 0.179849 loss_vfl: 1.385597 loss_bbox: 0.809711 loss_dfl: 0.548463 loss: 2.750363 eta: 2 days, 7:13:02 batch_cost: 1.1612 data_cost: 0.0042 ips: 34.4485 images/s
[07/27 03:25:45] ppdet.engine INFO: Epoch: [59] [420/732] learning_rate: 0.179831 loss_vfl: 1.345695 loss_bbox: 0.751078 loss_dfl: 0.522112 loss: 2.635055 eta: 2 days, 7:12:38 batch_cost: 1.1088 data_cost: 0.0070 ips: 36.0752 images/s
[07/27 03:26:11] ppdet.engine INFO: Epoch: [59] [440/732] learning_rate: 0.179812 loss_vfl: 1.347280 loss_bbox: 0.777074 loss_dfl: 0.536315 loss: 2.680573 eta: 2 days, 7:12:11 batch_cost: 1.0761 data_cost: 0.0072 ips: 37.1696 images/s
[07/27 03:26:38] ppdet.engine INFO: Epoch: [59] [460/732] learning_rate: 0.179794 loss_vfl: 1.380126 loss_bbox: 0.762590 loss_dfl: 0.529721 loss: 2.677640 eta: 2 days, 7:11:50 batch_cost: 1.1530 data_cost: 0.0042 ips: 34.6927 images/s
[07/27 03:27:04] ppdet.engine INFO: Epoch: [59] [480/732] learning_rate: 0.179775 loss_vfl: 1.299608 loss_bbox: 0.771984 loss_dfl: 0.525004 loss: 2.596349 eta: 2 days, 7:11:23 batch_cost: 1.0726 data_cost: 0.0024 ips: 37.2931 images/s
[07/27 03:27:31] ppdet.engine INFO: Epoch: [59] [500/732] learning_rate: 0.179757 loss_vfl: 1.347245 loss_bbox: 0.738517 loss_dfl: 0.518984 loss: 2.588873 eta: 2 days, 7:10:55 batch_cost: 1.0618 data_cost: 0.0073 ips: 37.6714 images/s
[07/27 03:27:59] ppdet.engine INFO: Epoch: [59] [520/732] learning_rate: 0.179739 loss_vfl: 1.288759 loss_bbox: 0.727649 loss_dfl: 0.502704 loss: 2.477673 eta: 2 days, 7:10:37 batch_cost: 1.1800 data_cost: 0.0039 ips: 33.8990 images/s
[07/27 03:28:25] ppdet.engine INFO: Epoch: [59] [540/732] learning_rate: 0.179720 loss_vfl: 1.357245 loss_bbox: 0.760074 loss_dfl: 0.528234 loss: 2.656533 eta: 2 days, 7:10:13 batch_cost: 1.1100 data_cost: 0.0069 ips: 36.0349 images/s
[07/27 03:28:50] ppdet.engine INFO: Epoch: [59] [560/732] learning_rate: 0.179702 loss_vfl: 1.364121 loss_bbox: 0.791174 loss_dfl: 0.546775 loss: 2.732662 eta: 2 days, 7:09:40 batch_cost: 1.0038 data_cost: 0.0077 ips: 39.8478 images/s
[07/27 03:29:17] ppdet.engine INFO: Epoch: [59] [580/732] learning_rate: 0.179683 loss_vfl: 1.288404 loss_bbox: 0.711843 loss_dfl: 0.507973 loss: 2.506613 eta: 2 days, 7:09:13 batch_cost: 1.0803 data_cost: 0.0078 ips: 37.0276 images/s
[07/27 03:29:44] ppdet.engine INFO: Epoch: [59] [600/732] learning_rate: 0.179665 loss_vfl: 1.340039 loss_bbox: 0.764771 loss_dfl: 0.518770 loss: 2.588021 eta: 2 days, 7:08:50 batch_cost: 1.1224 data_cost: 0.0041 ips: 35.6366 images/s
[07/27 03:30:10] ppdet.engine INFO: Epoch: [59] [620/732] learning_rate: 0.179646 loss_vfl: 1.335221 loss_bbox: 0.752858 loss_dfl: 0.533102 loss: 2.643123 eta: 2 days, 7:08:25 batch_cost: 1.0916 data_cost: 0.0093 ips: 36.6430 images/s
[07/27 03:30:36] ppdet.engine INFO: Epoch: [59] [640/732] learning_rate: 0.179628 loss_vfl: 1.274870 loss_bbox: 0.764234 loss_dfl: 0.520863 loss: 2.509174 eta: 2 days, 7:08:00 batch_cost: 1.1049 data_cost: 0.0034 ips: 36.2034 images/s
[07/27 03:31:04] ppdet.engine INFO: Epoch: [59] [660/732] learning_rate: 0.179609 loss_vfl: 1.385449 loss_bbox: 0.797958 loss_dfl: 0.552083 loss: 2.745163 eta: 2 days, 7:07:41 batch_cost: 1.1724 data_cost: 0.0048 ips: 34.1169 images/s
[07/27 03:31:31] ppdet.engine INFO: Epoch: [59] [680/732] learning_rate: 0.179591 loss_vfl: 1.373153 loss_bbox: 0.768192 loss_dfl: 0.528620 loss: 2.637005 eta: 2 days, 7:07:19 batch_cost: 1.1354 data_cost: 0.0044 ips: 35.2291 images/s
[07/27 03:31:58] ppdet.engine INFO: Epoch: [59] [700/732] learning_rate: 0.179572 loss_vfl: 1.331560 loss_bbox: 0.764437 loss_dfl: 0.526924 loss: 2.628393 eta: 2 days, 7:06:59 batch_cost: 1.1602 data_cost: 0.0076 ips: 34.4776 images/s
[07/27 03:32:24] ppdet.engine INFO: Epoch: [59] [720/732] learning_rate: 0.179554 loss_vfl: 1.352277 loss_bbox: 0.783550 loss_dfl: 0.543237 loss: 2.698266 eta: 2 days, 7:06:37 batch_cost: 1.1443 data_cost: 0.0087 ips: 34.9549 images/s
[07/27 03:32:36] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 03:32:36] ppdet.engine INFO: Eval iter: 0
[07/27 03:32:59] ppdet.engine INFO: Eval iter: 100
[07/27 03:33:11] ppdet.engine INFO: Eval iter: 200
[07/27 03:33:23] ppdet.engine INFO: Eval iter: 300
[07/27 03:33:35] ppdet.engine INFO: Eval iter: 400
[07/27 03:33:48] ppdet.engine INFO: Eval iter: 500
[07/27 03:33:59] ppdet.engine INFO: Eval iter: 600
[07/27 03:34:16] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=1.17s)
creating index...
index created!
[07/27 03:34:18] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.73s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.29s).
Accumulating evaluation results...
DONE (t=19.50s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.211
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.331
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.222
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.085
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.223
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.325
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.230
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.375
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.400
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.153
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.442
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.602
[07/27 03:36:24] ppdet.engine INFO: Total sample number: 4952, averge FPS: 57.31477631899892
[07/27 03:36:24] ppdet.engine INFO: Best test bbox ap is 0.211.
[07/27 03:36:24] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 03:36:25] ppdet.engine INFO: Epoch: [60] [  0/732] learning_rate: 0.179543 loss_vfl: 1.383043 loss_bbox: 0.781670 loss_dfl: 0.543237 loss: 2.713119 eta: 2 days, 7:06:05 batch_cost: 0.8532 data_cost: 0.0037 ips: 46.8834 images/s
[07/27 03:36:50] ppdet.engine INFO: Epoch: [60] [ 20/732] learning_rate: 0.179524 loss_vfl: 1.311060 loss_bbox: 0.757584 loss_dfl: 0.516748 loss: 2.573925 eta: 2 days, 7:05:36 batch_cost: 1.0549 data_cost: 0.0061 ips: 37.9172 images/s
[07/27 03:37:18] ppdet.engine INFO: Epoch: [60] [ 40/732] learning_rate: 0.179506 loss_vfl: 1.363963 loss_bbox: 0.778301 loss_dfl: 0.528823 loss: 2.637390 eta: 2 days, 7:05:10 batch_cost: 1.0799 data_cost: 0.0095 ips: 37.0405 images/s
[07/27 03:37:43] ppdet.engine INFO: Epoch: [60] [ 60/732] learning_rate: 0.179487 loss_vfl: 1.362487 loss_bbox: 0.792191 loss_dfl: 0.541801 loss: 2.689011 eta: 2 days, 7:04:42 batch_cost: 1.0672 data_cost: 0.0022 ips: 37.4817 images/s
[07/27 03:38:09] ppdet.engine INFO: Epoch: [60] [ 80/732] learning_rate: 0.179468 loss_vfl: 1.382148 loss_bbox: 0.793431 loss_dfl: 0.543298 loss: 2.701694 eta: 2 days, 7:04:19 batch_cost: 1.1265 data_cost: 0.0042 ips: 35.5093 images/s
[07/27 03:38:37] ppdet.engine INFO: Epoch: [60] [100/732] learning_rate: 0.179450 loss_vfl: 1.335932 loss_bbox: 0.736260 loss_dfl: 0.508039 loss: 2.600529 eta: 2 days, 7:03:59 batch_cost: 1.1529 data_cost: 0.0027 ips: 34.6956 images/s
[07/27 03:39:05] ppdet.engine INFO: Epoch: [60] [120/732] learning_rate: 0.179431 loss_vfl: 1.343148 loss_bbox: 0.769307 loss_dfl: 0.529134 loss: 2.628397 eta: 2 days, 7:03:38 batch_cost: 1.1542 data_cost: 0.0204 ips: 34.6551 images/s
[07/27 03:39:32] ppdet.engine INFO: Epoch: [60] [140/732] learning_rate: 0.179413 loss_vfl: 1.303798 loss_bbox: 0.724259 loss_dfl: 0.511343 loss: 2.540933 eta: 2 days, 7:03:16 batch_cost: 1.1367 data_cost: 0.0075 ips: 35.1897 images/s
[07/27 03:39:58] ppdet.engine INFO: Epoch: [60] [160/732] learning_rate: 0.179394 loss_vfl: 1.326109 loss_bbox: 0.769131 loss_dfl: 0.526184 loss: 2.613297 eta: 2 days, 7:02:57 batch_cost: 1.1661 data_cost: 0.0030 ips: 34.3010 images/s
[07/27 03:40:25] ppdet.engine INFO: Epoch: [60] [180/732] learning_rate: 0.179376 loss_vfl: 1.335521 loss_bbox: 0.758992 loss_dfl: 0.519128 loss: 2.614443 eta: 2 days, 7:02:36 batch_cost: 1.1509 data_cost: 0.0078 ips: 34.7548 images/s
[07/27 03:40:52] ppdet.engine INFO: Epoch: [60] [200/732] learning_rate: 0.179357 loss_vfl: 1.357583 loss_bbox: 0.800976 loss_dfl: 0.541475 loss: 2.693029 eta: 2 days, 7:02:12 batch_cost: 1.1115 data_cost: 0.0068 ips: 35.9878 images/s
[07/27 03:41:17] ppdet.engine INFO: Epoch: [60] [220/732] learning_rate: 0.179338 loss_vfl: 1.351599 loss_bbox: 0.778581 loss_dfl: 0.527528 loss: 2.661356 eta: 2 days, 7:01:39 batch_cost: 1.0051 data_cost: 0.0051 ips: 39.7986 images/s
[07/27 03:41:44] ppdet.engine INFO: Epoch: [60] [240/732] learning_rate: 0.179320 loss_vfl: 1.325613 loss_bbox: 0.771331 loss_dfl: 0.525427 loss: 2.622440 eta: 2 days, 7:01:12 batch_cost: 1.0737 data_cost: 0.0131 ips: 37.2527 images/s
[07/27 03:42:12] ppdet.engine INFO: Epoch: [60] [260/732] learning_rate: 0.179301 loss_vfl: 1.375119 loss_bbox: 0.763675 loss_dfl: 0.535909 loss: 2.657273 eta: 2 days, 7:00:53 batch_cost: 1.1729 data_cost: 0.0046 ips: 34.1023 images/s
[07/27 03:42:39] ppdet.engine INFO: Epoch: [60] [280/732] learning_rate: 0.179283 loss_vfl: 1.401698 loss_bbox: 0.776161 loss_dfl: 0.532751 loss: 2.712496 eta: 2 days, 7:00:30 batch_cost: 1.1226 data_cost: 0.0081 ips: 35.6301 images/s
[07/27 03:43:05] ppdet.engine INFO: Epoch: [60] [300/732] learning_rate: 0.179264 loss_vfl: 1.301399 loss_bbox: 0.732177 loss_dfl: 0.509798 loss: 2.556315 eta: 2 days, 7:00:05 batch_cost: 1.0999 data_cost: 0.0091 ips: 36.3660 images/s
[07/27 03:43:33] ppdet.engine INFO: Epoch: [60] [320/732] learning_rate: 0.179245 loss_vfl: 1.383895 loss_bbox: 0.808064 loss_dfl: 0.545321 loss: 2.745453 eta: 2 days, 6:59:46 batch_cost: 1.1778 data_cost: 0.0049 ips: 33.9626 images/s
[07/27 03:43:58] ppdet.engine INFO: Epoch: [60] [340/732] learning_rate: 0.179227 loss_vfl: 1.319770 loss_bbox: 0.742852 loss_dfl: 0.511552 loss: 2.557089 eta: 2 days, 6:59:19 batch_cost: 1.0634 data_cost: 0.0036 ips: 37.6159 images/s
[07/27 03:44:25] ppdet.engine INFO: Epoch: [60] [360/732] learning_rate: 0.179208 loss_vfl: 1.324134 loss_bbox: 0.755707 loss_dfl: 0.526516 loss: 2.605002 eta: 2 days, 6:58:57 batch_cost: 1.1365 data_cost: 0.0096 ips: 35.1970 images/s
[07/27 03:44:52] ppdet.engine INFO: Epoch: [60] [380/732] learning_rate: 0.179189 loss_vfl: 1.339401 loss_bbox: 0.776237 loss_dfl: 0.525830 loss: 2.621833 eta: 2 days, 6:58:31 batch_cost: 1.0929 data_cost: 0.0088 ips: 36.5997 images/s
[07/27 03:45:18] ppdet.engine INFO: Epoch: [60] [400/732] learning_rate: 0.179171 loss_vfl: 1.312368 loss_bbox: 0.728226 loss_dfl: 0.505136 loss: 2.526870 eta: 2 days, 6:58:08 batch_cost: 1.1166 data_cost: 0.0076 ips: 35.8217 images/s
[07/27 03:45:46] ppdet.engine INFO: Epoch: [60] [420/732] learning_rate: 0.179152 loss_vfl: 1.309633 loss_bbox: 0.767090 loss_dfl: 0.509809 loss: 2.570771 eta: 2 days, 6:57:46 batch_cost: 1.1444 data_cost: 0.0076 ips: 34.9536 images/s
[07/27 03:46:12] ppdet.engine INFO: Epoch: [60] [440/732] learning_rate: 0.179133 loss_vfl: 1.375870 loss_bbox: 0.787623 loss_dfl: 0.531887 loss: 2.675222 eta: 2 days, 6:57:20 batch_cost: 1.0779 data_cost: 0.0054 ips: 37.1091 images/s
[07/27 03:46:37] ppdet.engine INFO: Epoch: [60] [460/732] learning_rate: 0.179115 loss_vfl: 1.310248 loss_bbox: 0.753969 loss_dfl: 0.516087 loss: 2.604682 eta: 2 days, 6:56:55 batch_cost: 1.1076 data_cost: 0.0021 ips: 36.1146 images/s
[07/27 03:47:04] ppdet.engine INFO: Epoch: [60] [480/732] learning_rate: 0.179096 loss_vfl: 1.309835 loss_bbox: 0.778137 loss_dfl: 0.520524 loss: 2.590806 eta: 2 days, 6:56:34 batch_cost: 1.1388 data_cost: 0.0083 ips: 35.1260 images/s
[07/27 03:47:30] ppdet.engine INFO: Epoch: [60] [500/732] learning_rate: 0.179077 loss_vfl: 1.323640 loss_bbox: 0.787524 loss_dfl: 0.539876 loss: 2.682779 eta: 2 days, 6:56:09 batch_cost: 1.1078 data_cost: 0.0054 ips: 36.1078 images/s
[07/27 03:47:58] ppdet.engine INFO: Epoch: [60] [520/732] learning_rate: 0.179059 loss_vfl: 1.315140 loss_bbox: 0.766291 loss_dfl: 0.525621 loss: 2.594378 eta: 2 days, 6:55:45 batch_cost: 1.1084 data_cost: 0.0031 ips: 36.0873 images/s
[07/27 03:48:25] ppdet.engine INFO: Epoch: [60] [540/732] learning_rate: 0.179040 loss_vfl: 1.333877 loss_bbox: 0.720724 loss_dfl: 0.507655 loss: 2.554140 eta: 2 days, 6:55:27 batch_cost: 1.1854 data_cost: 0.0066 ips: 33.7437 images/s
[07/27 03:48:51] ppdet.engine INFO: Epoch: [60] [560/732] learning_rate: 0.179021 loss_vfl: 1.335450 loss_bbox: 0.751871 loss_dfl: 0.514302 loss: 2.604318 eta: 2 days, 6:54:57 batch_cost: 1.0398 data_cost: 0.0116 ips: 38.4676 images/s
[07/27 03:49:18] ppdet.engine INFO: Epoch: [60] [580/732] learning_rate: 0.179002 loss_vfl: 1.378843 loss_bbox: 0.797457 loss_dfl: 0.541270 loss: 2.698879 eta: 2 days, 6:54:37 batch_cost: 1.1524 data_cost: 0.0106 ips: 34.7104 images/s
[07/27 03:49:43] ppdet.engine INFO: Epoch: [60] [600/732] learning_rate: 0.178984 loss_vfl: 1.376464 loss_bbox: 0.751124 loss_dfl: 0.526523 loss: 2.654584 eta: 2 days, 6:54:07 batch_cost: 1.0415 data_cost: 0.0097 ips: 38.4077 images/s
[07/27 03:50:10] ppdet.engine INFO: Epoch: [60] [620/732] learning_rate: 0.178965 loss_vfl: 1.360261 loss_bbox: 0.771553 loss_dfl: 0.538768 loss: 2.661217 eta: 2 days, 6:53:43 batch_cost: 1.1031 data_cost: 0.0066 ips: 36.2601 images/s
[07/27 03:50:38] ppdet.engine INFO: Epoch: [60] [640/732] learning_rate: 0.178946 loss_vfl: 1.368180 loss_bbox: 0.788566 loss_dfl: 0.537685 loss: 2.680352 eta: 2 days, 6:53:25 batch_cost: 1.1973 data_cost: 0.0057 ips: 33.4078 images/s
[07/27 03:51:04] ppdet.engine INFO: Epoch: [60] [660/732] learning_rate: 0.178927 loss_vfl: 1.321799 loss_bbox: 0.758011 loss_dfl: 0.504732 loss: 2.561410 eta: 2 days, 6:52:56 batch_cost: 1.0458 data_cost: 0.0049 ips: 38.2469 images/s
[07/27 03:51:31] ppdet.engine INFO: Epoch: [60] [680/732] learning_rate: 0.178909 loss_vfl: 1.364822 loss_bbox: 0.797216 loss_dfl: 0.543422 loss: 2.674067 eta: 2 days, 6:52:36 batch_cost: 1.1531 data_cost: 0.0057 ips: 34.6882 images/s
[07/27 03:51:58] ppdet.engine INFO: Epoch: [60] [700/732] learning_rate: 0.178890 loss_vfl: 1.302181 loss_bbox: 0.734029 loss_dfl: 0.516380 loss: 2.563162 eta: 2 days, 6:52:13 batch_cost: 1.1208 data_cost: 0.0115 ips: 35.6876 images/s
[07/27 03:52:26] ppdet.engine INFO: Epoch: [60] [720/732] learning_rate: 0.178871 loss_vfl: 1.352944 loss_bbox: 0.796076 loss_dfl: 0.536291 loss: 2.684137 eta: 2 days, 6:51:54 batch_cost: 1.1861 data_cost: 0.0053 ips: 33.7247 images/s
[07/27 03:52:49] ppdet.engine INFO: Epoch: [61] [  0/732] learning_rate: 0.178860 loss_vfl: 1.328542 loss_bbox: 0.746541 loss_dfl: 0.521337 loss: 2.586632 eta: 2 days, 6:52:06 batch_cost: 1.4618 data_cost: 0.3521 ips: 27.3636 images/s
[07/27 03:53:20] ppdet.engine INFO: Epoch: [61] [ 20/732] learning_rate: 0.178841 loss_vfl: 1.370705 loss_bbox: 0.773972 loss_dfl: 0.530814 loss: 2.678796 eta: 2 days, 6:51:59 batch_cost: 1.3277 data_cost: 0.0034 ips: 30.1281 images/s
[07/27 03:53:47] ppdet.engine INFO: Epoch: [61] [ 40/732] learning_rate: 0.178822 loss_vfl: 1.281048 loss_bbox: 0.731117 loss_dfl: 0.510333 loss: 2.491154 eta: 2 days, 6:51:41 batch_cost: 1.1922 data_cost: 0.0008 ips: 33.5516 images/s
[07/27 03:54:14] ppdet.engine INFO: Epoch: [61] [ 60/732] learning_rate: 0.178803 loss_vfl: 1.354976 loss_bbox: 0.776411 loss_dfl: 0.528648 loss: 2.644022 eta: 2 days, 6:51:18 batch_cost: 1.1275 data_cost: 0.0050 ips: 35.4761 images/s
[07/27 03:54:41] ppdet.engine INFO: Epoch: [61] [ 80/732] learning_rate: 0.178784 loss_vfl: 1.327299 loss_bbox: 0.760336 loss_dfl: 0.525985 loss: 2.624592 eta: 2 days, 6:50:51 batch_cost: 1.0669 data_cost: 0.0054 ips: 37.4913 images/s
[07/27 03:55:09] ppdet.engine INFO: Epoch: [61] [100/732] learning_rate: 0.178766 loss_vfl: 1.301762 loss_bbox: 0.736655 loss_dfl: 0.510693 loss: 2.558310 eta: 2 days, 6:50:29 batch_cost: 1.1400 data_cost: 0.0102 ips: 35.0873 images/s
[07/27 03:55:35] ppdet.engine INFO: Epoch: [61] [120/732] learning_rate: 0.178747 loss_vfl: 1.352826 loss_bbox: 0.767534 loss_dfl: 0.526854 loss: 2.670182 eta: 2 days, 6:50:05 batch_cost: 1.1077 data_cost: 0.0058 ips: 36.1107 images/s
[07/27 03:56:04] ppdet.engine INFO: Epoch: [61] [140/732] learning_rate: 0.178728 loss_vfl: 1.357565 loss_bbox: 0.775245 loss_dfl: 0.534934 loss: 2.688053 eta: 2 days, 6:49:48 batch_cost: 1.2040 data_cost: 0.0042 ips: 33.2233 images/s
[07/27 03:56:32] ppdet.engine INFO: Epoch: [61] [160/732] learning_rate: 0.178709 loss_vfl: 1.305581 loss_bbox: 0.764473 loss_dfl: 0.522934 loss: 2.580548 eta: 2 days, 6:49:26 batch_cost: 1.1361 data_cost: 0.0027 ips: 35.2094 images/s
[07/27 03:57:00] ppdet.engine INFO: Epoch: [61] [180/732] learning_rate: 0.178690 loss_vfl: 1.323458 loss_bbox: 0.778664 loss_dfl: 0.529901 loss: 2.635019 eta: 2 days, 6:49:04 batch_cost: 1.1362 data_cost: 0.0058 ips: 35.2050 images/s
[07/27 03:57:26] ppdet.engine INFO: Epoch: [61] [200/732] learning_rate: 0.178671 loss_vfl: 1.362598 loss_bbox: 0.768149 loss_dfl: 0.539050 loss: 2.694794 eta: 2 days, 6:48:41 batch_cost: 1.1308 data_cost: 0.0052 ips: 35.3720 images/s
[07/27 03:57:52] ppdet.engine INFO: Epoch: [61] [220/732] learning_rate: 0.178653 loss_vfl: 1.394242 loss_bbox: 0.785417 loss_dfl: 0.537574 loss: 2.718919 eta: 2 days, 6:48:14 batch_cost: 1.0722 data_cost: 0.0015 ips: 37.3062 images/s
[07/27 03:58:20] ppdet.engine INFO: Epoch: [61] [240/732] learning_rate: 0.178634 loss_vfl: 1.308699 loss_bbox: 0.713347 loss_dfl: 0.497509 loss: 2.512192 eta: 2 days, 6:47:49 batch_cost: 1.0939 data_cost: 0.0045 ips: 36.5662 images/s
[07/27 03:58:47] ppdet.engine INFO: Epoch: [61] [260/732] learning_rate: 0.178615 loss_vfl: 1.371735 loss_bbox: 0.785308 loss_dfl: 0.533722 loss: 2.687548 eta: 2 days, 6:47:30 batch_cost: 1.1717 data_cost: 0.0045 ips: 34.1397 images/s
[07/27 03:59:13] ppdet.engine INFO: Epoch: [61] [280/732] learning_rate: 0.178596 loss_vfl: 1.379577 loss_bbox: 0.822536 loss_dfl: 0.553790 loss: 2.740411 eta: 2 days, 6:47:04 batch_cost: 1.0926 data_cost: 0.0045 ips: 36.6089 images/s
[07/27 03:59:42] ppdet.engine INFO: Epoch: [61] [300/732] learning_rate: 0.178577 loss_vfl: 1.408031 loss_bbox: 0.792876 loss_dfl: 0.555239 loss: 2.773398 eta: 2 days, 6:46:51 batch_cost: 1.2531 data_cost: 0.0044 ips: 31.9210 images/s
[07/27 04:00:08] ppdet.engine INFO: Epoch: [61] [320/732] learning_rate: 0.178558 loss_vfl: 1.317400 loss_bbox: 0.740438 loss_dfl: 0.511449 loss: 2.583215 eta: 2 days, 6:46:25 batch_cost: 1.0819 data_cost: 0.0053 ips: 36.9720 images/s
[07/27 04:00:36] ppdet.engine INFO: Epoch: [61] [340/732] learning_rate: 0.178539 loss_vfl: 1.338659 loss_bbox: 0.788302 loss_dfl: 0.543861 loss: 2.679106 eta: 2 days, 6:46:04 batch_cost: 1.1506 data_cost: 0.0036 ips: 34.7634 images/s
[07/27 04:01:02] ppdet.engine INFO: Epoch: [61] [360/732] learning_rate: 0.178520 loss_vfl: 1.385985 loss_bbox: 0.778862 loss_dfl: 0.535514 loss: 2.699596 eta: 2 days, 6:45:40 batch_cost: 1.1041 data_cost: 0.0030 ips: 36.2300 images/s
[07/27 04:01:29] ppdet.engine INFO: Epoch: [61] [380/732] learning_rate: 0.178501 loss_vfl: 1.299847 loss_bbox: 0.730744 loss_dfl: 0.507395 loss: 2.552420 eta: 2 days, 6:45:18 batch_cost: 1.1402 data_cost: 0.0038 ips: 35.0809 images/s
[07/27 04:01:56] ppdet.engine INFO: Epoch: [61] [400/732] learning_rate: 0.178482 loss_vfl: 1.365103 loss_bbox: 0.762052 loss_dfl: 0.522690 loss: 2.648282 eta: 2 days, 6:44:55 batch_cost: 1.1200 data_cost: 0.0042 ips: 35.7133 images/s
[07/27 04:02:22] ppdet.engine INFO: Epoch: [61] [420/732] learning_rate: 0.178463 loss_vfl: 1.384669 loss_bbox: 0.787866 loss_dfl: 0.539944 loss: 2.707292 eta: 2 days, 6:44:30 batch_cost: 1.1061 data_cost: 0.0050 ips: 36.1616 images/s
[07/27 04:02:48] ppdet.engine INFO: Epoch: [61] [440/732] learning_rate: 0.178445 loss_vfl: 1.366626 loss_bbox: 0.754915 loss_dfl: 0.518053 loss: 2.646042 eta: 2 days, 6:44:06 batch_cost: 1.1077 data_cost: 0.0058 ips: 36.1110 images/s
[07/27 04:03:15] ppdet.engine INFO: Epoch: [61] [460/732] learning_rate: 0.178426 loss_vfl: 1.316867 loss_bbox: 0.742696 loss_dfl: 0.517390 loss: 2.554338 eta: 2 days, 6:43:45 batch_cost: 1.1520 data_cost: 0.0035 ips: 34.7215 images/s
[07/27 04:03:41] ppdet.engine INFO: Epoch: [61] [480/732] learning_rate: 0.178407 loss_vfl: 1.349737 loss_bbox: 0.785841 loss_dfl: 0.540935 loss: 2.678584 eta: 2 days, 6:43:23 batch_cost: 1.1282 data_cost: 0.0045 ips: 35.4561 images/s
[07/27 04:04:08] ppdet.engine INFO: Epoch: [61] [500/732] learning_rate: 0.178388 loss_vfl: 1.318767 loss_bbox: 0.736516 loss_dfl: 0.504304 loss: 2.511138 eta: 2 days, 6:43:05 batch_cost: 1.1906 data_cost: 0.0074 ips: 33.5960 images/s
[07/27 04:04:35] ppdet.engine INFO: Epoch: [61] [520/732] learning_rate: 0.178369 loss_vfl: 1.304895 loss_bbox: 0.749056 loss_dfl: 0.510566 loss: 2.578966 eta: 2 days, 6:42:43 batch_cost: 1.1460 data_cost: 0.0038 ips: 34.9044 images/s
[07/27 04:05:02] ppdet.engine INFO: Epoch: [61] [540/732] learning_rate: 0.178350 loss_vfl: 1.387028 loss_bbox: 0.799275 loss_dfl: 0.537763 loss: 2.723429 eta: 2 days, 6:42:22 batch_cost: 1.1464 data_cost: 0.0027 ips: 34.8930 images/s
[07/27 04:05:29] ppdet.engine INFO: Epoch: [61] [560/732] learning_rate: 0.178331 loss_vfl: 1.375975 loss_bbox: 0.775802 loss_dfl: 0.538699 loss: 2.708437 eta: 2 days, 6:42:02 batch_cost: 1.1566 data_cost: 0.0057 ips: 34.5846 images/s
[07/27 04:05:55] ppdet.engine INFO: Epoch: [61] [580/732] learning_rate: 0.178312 loss_vfl: 1.322601 loss_bbox: 0.762654 loss_dfl: 0.523218 loss: 2.617776 eta: 2 days, 6:41:31 batch_cost: 1.0265 data_cost: 0.0070 ips: 38.9678 images/s
[07/27 04:06:21] ppdet.engine INFO: Epoch: [61] [600/732] learning_rate: 0.178293 loss_vfl: 1.327322 loss_bbox: 0.754333 loss_dfl: 0.537907 loss: 2.649558 eta: 2 days, 6:41:04 batch_cost: 1.0692 data_cost: 0.0082 ips: 37.4126 images/s
[07/27 04:06:47] ppdet.engine INFO: Epoch: [61] [620/732] learning_rate: 0.178274 loss_vfl: 1.334052 loss_bbox: 0.775216 loss_dfl: 0.523096 loss: 2.608877 eta: 2 days, 6:40:38 batch_cost: 1.0851 data_cost: 0.0048 ips: 36.8632 images/s
[07/27 04:07:14] ppdet.engine INFO: Epoch: [61] [640/732] learning_rate: 0.178255 loss_vfl: 1.352584 loss_bbox: 0.773407 loss_dfl: 0.541756 loss: 2.678491 eta: 2 days, 6:40:18 batch_cost: 1.1643 data_cost: 0.0061 ips: 34.3569 images/s
[07/27 04:07:40] ppdet.engine INFO: Epoch: [61] [660/732] learning_rate: 0.178236 loss_vfl: 1.345845 loss_bbox: 0.770613 loss_dfl: 0.531450 loss: 2.675239 eta: 2 days, 6:39:53 batch_cost: 1.0912 data_cost: 0.0049 ips: 36.6567 images/s
[07/27 04:08:07] ppdet.engine INFO: Epoch: [61] [680/732] learning_rate: 0.178217 loss_vfl: 1.336307 loss_bbox: 0.787120 loss_dfl: 0.533396 loss: 2.652169 eta: 2 days, 6:39:30 batch_cost: 1.1339 data_cost: 0.0064 ips: 35.2755 images/s
[07/27 04:08:34] ppdet.engine INFO: Epoch: [61] [700/732] learning_rate: 0.178198 loss_vfl: 1.383599 loss_bbox: 0.778414 loss_dfl: 0.539405 loss: 2.721244 eta: 2 days, 6:39:09 batch_cost: 1.1451 data_cost: 0.0051 ips: 34.9314 images/s
[07/27 04:09:00] ppdet.engine INFO: Epoch: [61] [720/732] learning_rate: 0.178178 loss_vfl: 1.372946 loss_bbox: 0.766903 loss_dfl: 0.535773 loss: 2.696470 eta: 2 days, 6:38:50 batch_cost: 1.1802 data_cost: 0.0076 ips: 33.8921 images/s
[07/27 04:09:21] ppdet.engine INFO: Epoch: [62] [  0/732] learning_rate: 0.178167 loss_vfl: 1.382623 loss_bbox: 0.777145 loss_dfl: 0.531875 loss: 2.697677 eta: 2 days, 6:38:54 batch_cost: 1.4264 data_cost: 0.4353 ips: 28.0428 images/s
[07/27 04:09:50] ppdet.engine INFO: Epoch: [62] [ 20/732] learning_rate: 0.178148 loss_vfl: 1.379355 loss_bbox: 0.750736 loss_dfl: 0.517185 loss: 2.618689 eta: 2 days, 6:38:38 batch_cost: 1.2112 data_cost: 0.0026 ips: 33.0240 images/s
[07/27 04:10:18] ppdet.engine INFO: Epoch: [62] [ 40/732] learning_rate: 0.178129 loss_vfl: 1.377855 loss_bbox: 0.779663 loss_dfl: 0.537776 loss: 2.675217 eta: 2 days, 6:38:24 batch_cost: 1.2393 data_cost: 0.0022 ips: 32.2757 images/s
[07/27 04:10:45] ppdet.engine INFO: Epoch: [62] [ 60/732] learning_rate: 0.178110 loss_vfl: 1.336709 loss_bbox: 0.767912 loss_dfl: 0.535173 loss: 2.635826 eta: 2 days, 6:38:05 batch_cost: 1.1819 data_cost: 0.0137 ips: 33.8437 images/s
[07/27 04:11:12] ppdet.engine INFO: Epoch: [62] [ 80/732] learning_rate: 0.178091 loss_vfl: 1.391939 loss_bbox: 0.797876 loss_dfl: 0.541866 loss: 2.747479 eta: 2 days, 6:37:42 batch_cost: 1.1220 data_cost: 0.0098 ips: 35.6517 images/s
[07/27 04:11:38] ppdet.engine INFO: Epoch: [62] [100/732] learning_rate: 0.178072 loss_vfl: 1.338232 loss_bbox: 0.766626 loss_dfl: 0.524419 loss: 2.641332 eta: 2 days, 6:37:21 batch_cost: 1.1475 data_cost: 0.0028 ips: 34.8571 images/s
[07/27 04:12:06] ppdet.engine INFO: Epoch: [62] [120/732] learning_rate: 0.178053 loss_vfl: 1.334092 loss_bbox: 0.746749 loss_dfl: 0.524086 loss: 2.638104 eta: 2 days, 6:37:01 batch_cost: 1.1661 data_cost: 0.0047 ips: 34.3037 images/s
[07/27 04:12:34] ppdet.engine INFO: Epoch: [62] [140/732] learning_rate: 0.178033 loss_vfl: 1.360046 loss_bbox: 0.785347 loss_dfl: 0.539526 loss: 2.699761 eta: 2 days, 6:36:43 batch_cost: 1.1818 data_cost: 0.0027 ips: 33.8461 images/s
[07/27 04:13:01] ppdet.engine INFO: Epoch: [62] [160/732] learning_rate: 0.178014 loss_vfl: 1.385570 loss_bbox: 0.779243 loss_dfl: 0.542224 loss: 2.692507 eta: 2 days, 6:36:19 batch_cost: 1.1106 data_cost: 0.0060 ips: 36.0167 images/s
[07/27 04:13:28] ppdet.engine INFO: Epoch: [62] [180/732] learning_rate: 0.177995 loss_vfl: 1.395450 loss_bbox: 0.771540 loss_dfl: 0.540034 loss: 2.689333 eta: 2 days, 6:35:57 batch_cost: 1.1440 data_cost: 0.0094 ips: 34.9647 images/s
[07/27 04:13:54] ppdet.engine INFO: Epoch: [62] [200/732] learning_rate: 0.177976 loss_vfl: 1.296665 loss_bbox: 0.742976 loss_dfl: 0.518889 loss: 2.549333 eta: 2 days, 6:35:35 batch_cost: 1.1358 data_cost: 0.0072 ips: 35.2186 images/s
[07/27 04:14:20] ppdet.engine INFO: Epoch: [62] [220/732] learning_rate: 0.177957 loss_vfl: 1.326737 loss_bbox: 0.750237 loss_dfl: 0.522682 loss: 2.584622 eta: 2 days, 6:35:05 batch_cost: 1.0286 data_cost: 0.0089 ips: 38.8865 images/s
[07/27 04:14:47] ppdet.engine INFO: Epoch: [62] [240/732] learning_rate: 0.177938 loss_vfl: 1.392532 loss_bbox: 0.794922 loss_dfl: 0.555217 loss: 2.737944 eta: 2 days, 6:34:45 batch_cost: 1.1636 data_cost: 0.0030 ips: 34.3766 images/s
[07/27 04:15:14] ppdet.engine INFO: Epoch: [62] [260/732] learning_rate: 0.177919 loss_vfl: 1.410335 loss_bbox: 0.793933 loss_dfl: 0.549313 loss: 2.726279 eta: 2 days, 6:34:24 batch_cost: 1.1508 data_cost: 0.0057 ips: 34.7594 images/s
[07/27 04:15:41] ppdet.engine INFO: Epoch: [62] [280/732] learning_rate: 0.177900 loss_vfl: 1.349601 loss_bbox: 0.759825 loss_dfl: 0.526616 loss: 2.679811 eta: 2 days, 6:34:00 batch_cost: 1.1115 data_cost: 0.0015 ips: 35.9867 images/s
[07/27 04:16:08] ppdet.engine INFO: Epoch: [62] [300/732] learning_rate: 0.177880 loss_vfl: 1.358872 loss_bbox: 0.792550 loss_dfl: 0.540067 loss: 2.696525 eta: 2 days, 6:33:40 batch_cost: 1.1648 data_cost: 0.0069 ips: 34.3418 images/s
[07/27 04:16:34] ppdet.engine INFO: Epoch: [62] [320/732] learning_rate: 0.177861 loss_vfl: 1.355727 loss_bbox: 0.756187 loss_dfl: 0.517133 loss: 2.565700 eta: 2 days, 6:33:17 batch_cost: 1.1218 data_cost: 0.0046 ips: 35.6585 images/s
[07/27 04:17:02] ppdet.engine INFO: Epoch: [62] [340/732] learning_rate: 0.177842 loss_vfl: 1.362824 loss_bbox: 0.802887 loss_dfl: 0.550238 loss: 2.690660 eta: 2 days, 6:32:56 batch_cost: 1.1493 data_cost: 0.0069 ips: 34.8031 images/s
[07/27 04:17:29] ppdet.engine INFO: Epoch: [62] [360/732] learning_rate: 0.177823 loss_vfl: 1.374134 loss_bbox: 0.785168 loss_dfl: 0.539761 loss: 2.673220 eta: 2 days, 6:32:30 batch_cost: 1.0903 data_cost: 0.0207 ips: 36.6864 images/s
[07/27 04:17:55] ppdet.engine INFO: Epoch: [62] [380/732] learning_rate: 0.177804 loss_vfl: 1.401716 loss_bbox: 0.799794 loss_dfl: 0.554219 loss: 2.730847 eta: 2 days, 6:32:00 batch_cost: 1.0277 data_cost: 0.0124 ips: 38.9214 images/s
[07/27 04:18:24] ppdet.engine INFO: Epoch: [62] [400/732] learning_rate: 0.177784 loss_vfl: 1.336271 loss_bbox: 0.745463 loss_dfl: 0.519283 loss: 2.578641 eta: 2 days, 6:31:43 batch_cost: 1.2046 data_cost: 0.0138 ips: 33.2050 images/s
[07/27 04:18:50] ppdet.engine INFO: Epoch: [62] [420/732] learning_rate: 0.177765 loss_vfl: 1.377836 loss_bbox: 0.787998 loss_dfl: 0.535037 loss: 2.683535 eta: 2 days, 6:31:18 batch_cost: 1.0928 data_cost: 0.0067 ips: 36.6027 images/s
[07/27 04:19:19] ppdet.engine INFO: Epoch: [62] [440/732] learning_rate: 0.177746 loss_vfl: 1.338472 loss_bbox: 0.756711 loss_dfl: 0.512156 loss: 2.592022 eta: 2 days, 6:31:06 batch_cost: 1.2699 data_cost: 0.0066 ips: 31.4987 images/s
[07/27 04:19:47] ppdet.engine INFO: Epoch: [62] [460/732] learning_rate: 0.177727 loss_vfl: 1.314425 loss_bbox: 0.746724 loss_dfl: 0.511379 loss: 2.563745 eta: 2 days, 6:30:53 batch_cost: 1.2634 data_cost: 0.0050 ips: 31.6594 images/s
[07/27 04:20:13] ppdet.engine INFO: Epoch: [62] [480/732] learning_rate: 0.177708 loss_vfl: 1.351557 loss_bbox: 0.754974 loss_dfl: 0.529750 loss: 2.638638 eta: 2 days, 6:30:30 batch_cost: 1.1157 data_cost: 0.0129 ips: 35.8512 images/s
[07/27 04:20:39] ppdet.engine INFO: Epoch: [62] [500/732] learning_rate: 0.177688 loss_vfl: 1.334055 loss_bbox: 0.764630 loss_dfl: 0.522155 loss: 2.633351 eta: 2 days, 6:30:07 batch_cost: 1.1230 data_cost: 0.0045 ips: 35.6202 images/s
[07/27 04:21:06] ppdet.engine INFO: Epoch: [62] [520/732] learning_rate: 0.177669 loss_vfl: 1.295124 loss_bbox: 0.738015 loss_dfl: 0.517827 loss: 2.559680 eta: 2 days, 6:29:45 batch_cost: 1.1450 data_cost: 0.0056 ips: 34.9339 images/s
[07/27 04:21:33] ppdet.engine INFO: Epoch: [62] [540/732] learning_rate: 0.177650 loss_vfl: 1.318670 loss_bbox: 0.782019 loss_dfl: 0.534004 loss: 2.646054 eta: 2 days, 6:29:18 batch_cost: 1.0633 data_cost: 0.0060 ips: 37.6204 images/s
[07/27 04:21:59] ppdet.engine INFO: Epoch: [62] [560/732] learning_rate: 0.177631 loss_vfl: 1.343380 loss_bbox: 0.768822 loss_dfl: 0.524029 loss: 2.618491 eta: 2 days, 6:28:53 batch_cost: 1.1066 data_cost: 0.0076 ips: 36.1453 images/s
[07/27 04:22:26] ppdet.engine INFO: Epoch: [62] [580/732] learning_rate: 0.177611 loss_vfl: 1.304801 loss_bbox: 0.782445 loss_dfl: 0.520939 loss: 2.577679 eta: 2 days, 6:28:29 batch_cost: 1.1018 data_cost: 0.0064 ips: 36.3045 images/s
[07/27 04:22:52] ppdet.engine INFO: Epoch: [62] [600/732] learning_rate: 0.177592 loss_vfl: 1.385074 loss_bbox: 0.815556 loss_dfl: 0.555885 loss: 2.754286 eta: 2 days, 6:28:03 batch_cost: 1.0911 data_cost: 0.0035 ips: 36.6594 images/s
[07/27 04:23:18] ppdet.engine INFO: Epoch: [62] [620/732] learning_rate: 0.177573 loss_vfl: 1.339006 loss_bbox: 0.766146 loss_dfl: 0.532142 loss: 2.634932 eta: 2 days, 6:27:35 batch_cost: 1.0608 data_cost: 0.0076 ips: 37.7064 images/s
[07/27 04:23:44] ppdet.engine INFO: Epoch: [62] [640/732] learning_rate: 0.177554 loss_vfl: 1.354066 loss_bbox: 0.746101 loss_dfl: 0.523122 loss: 2.647340 eta: 2 days, 6:27:11 batch_cost: 1.0998 data_cost: 0.0068 ips: 36.3693 images/s
[07/27 04:24:11] ppdet.engine INFO: Epoch: [62] [660/732] learning_rate: 0.177534 loss_vfl: 1.343125 loss_bbox: 0.772773 loss_dfl: 0.532520 loss: 2.660098 eta: 2 days, 6:26:44 batch_cost: 1.0811 data_cost: 0.0050 ips: 36.9983 images/s
[07/27 04:24:38] ppdet.engine INFO: Epoch: [62] [680/732] learning_rate: 0.177515 loss_vfl: 1.400395 loss_bbox: 0.805589 loss_dfl: 0.552685 loss: 2.760634 eta: 2 days, 6:26:24 batch_cost: 1.1628 data_cost: 0.0038 ips: 34.3983 images/s
[07/27 04:25:04] ppdet.engine INFO: Epoch: [62] [700/732] learning_rate: 0.177496 loss_vfl: 1.357255 loss_bbox: 0.756756 loss_dfl: 0.522126 loss: 2.615054 eta: 2 days, 6:26:04 batch_cost: 1.1545 data_cost: 0.0030 ips: 34.6477 images/s
[07/27 04:25:32] ppdet.engine INFO: Epoch: [62] [720/732] learning_rate: 0.177476 loss_vfl: 1.320866 loss_bbox: 0.753804 loss_dfl: 0.513509 loss: 2.568036 eta: 2 days, 6:25:39 batch_cost: 1.1041 data_cost: 0.0068 ips: 36.2291 images/s
[07/27 04:25:53] ppdet.engine INFO: Epoch: [63] [  0/732] learning_rate: 0.177465 loss_vfl: 1.345548 loss_bbox: 0.753258 loss_dfl: 0.515863 loss: 2.597414 eta: 2 days, 6:25:43 batch_cost: 1.3363 data_cost: 0.3723 ips: 29.9342 images/s
[07/27 04:26:26] ppdet.engine INFO: Epoch: [63] [ 20/732] learning_rate: 0.177445 loss_vfl: 1.347204 loss_bbox: 0.760573 loss_dfl: 0.527759 loss: 2.622548 eta: 2 days, 6:25:42 batch_cost: 1.4067 data_cost: 0.0036 ips: 28.4344 images/s
[07/27 04:26:52] ppdet.engine INFO: Epoch: [63] [ 40/732] learning_rate: 0.177426 loss_vfl: 1.352270 loss_bbox: 0.769197 loss_dfl: 0.541578 loss: 2.699341 eta: 2 days, 6:25:21 batch_cost: 1.1608 data_cost: 0.0058 ips: 34.4585 images/s
[07/27 04:27:19] ppdet.engine INFO: Epoch: [63] [ 60/732] learning_rate: 0.177407 loss_vfl: 1.273806 loss_bbox: 0.734104 loss_dfl: 0.502711 loss: 2.491448 eta: 2 days, 6:25:01 batch_cost: 1.1550 data_cost: 0.0087 ips: 34.6330 images/s
[07/27 04:27:45] ppdet.engine INFO: Epoch: [63] [ 80/732] learning_rate: 0.177387 loss_vfl: 1.333563 loss_bbox: 0.775302 loss_dfl: 0.541007 loss: 2.648421 eta: 2 days, 6:24:34 batch_cost: 1.0740 data_cost: 0.0049 ips: 37.2442 images/s
[07/27 04:28:13] ppdet.engine INFO: Epoch: [63] [100/732] learning_rate: 0.177368 loss_vfl: 1.354307 loss_bbox: 0.777114 loss_dfl: 0.532180 loss: 2.679879 eta: 2 days, 6:24:23 batch_cost: 1.2826 data_cost: 0.0089 ips: 31.1876 images/s
[07/27 04:28:41] ppdet.engine INFO: Epoch: [63] [120/732] learning_rate: 0.177349 loss_vfl: 1.285965 loss_bbox: 0.731218 loss_dfl: 0.512857 loss: 2.535142 eta: 2 days, 6:24:02 batch_cost: 1.1481 data_cost: 0.0152 ips: 34.8387 images/s
[07/27 04:29:06] ppdet.engine INFO: Epoch: [63] [140/732] learning_rate: 0.177329 loss_vfl: 1.344469 loss_bbox: 0.772986 loss_dfl: 0.537060 loss: 2.692869 eta: 2 days, 6:23:37 batch_cost: 1.1007 data_cost: 0.0073 ips: 36.3401 images/s
[07/27 04:29:32] ppdet.engine INFO: Epoch: [63] [160/732] learning_rate: 0.177310 loss_vfl: 1.302476 loss_bbox: 0.743430 loss_dfl: 0.513757 loss: 2.538160 eta: 2 days, 6:23:10 batch_cost: 1.0749 data_cost: 0.0055 ips: 37.2112 images/s
[07/27 04:29:57] ppdet.engine INFO: Epoch: [63] [180/732] learning_rate: 0.177291 loss_vfl: 1.353547 loss_bbox: 0.792086 loss_dfl: 0.539477 loss: 2.689332 eta: 2 days, 6:22:44 batch_cost: 1.0841 data_cost: 0.0142 ips: 36.8962 images/s
[07/27 04:30:25] ppdet.engine INFO: Epoch: [63] [200/732] learning_rate: 0.177271 loss_vfl: 1.382978 loss_bbox: 0.795412 loss_dfl: 0.551265 loss: 2.733506 eta: 2 days, 6:22:24 batch_cost: 1.1635 data_cost: 0.0066 ips: 34.3800 images/s
[07/27 04:30:51] ppdet.engine INFO: Epoch: [63] [220/732] learning_rate: 0.177252 loss_vfl: 1.358260 loss_bbox: 0.778749 loss_dfl: 0.532898 loss: 2.673919 eta: 2 days, 6:21:57 batch_cost: 1.0716 data_cost: 0.0070 ips: 37.3277 images/s
[07/27 04:31:16] ppdet.engine INFO: Epoch: [63] [240/732] learning_rate: 0.177232 loss_vfl: 1.433645 loss_bbox: 0.806271 loss_dfl: 0.555827 loss: 2.791373 eta: 2 days, 6:21:27 batch_cost: 1.0344 data_cost: 0.0054 ips: 38.6714 images/s
[07/27 04:31:43] ppdet.engine INFO: Epoch: [63] [260/732] learning_rate: 0.177213 loss_vfl: 1.309375 loss_bbox: 0.733455 loss_dfl: 0.509592 loss: 2.581256 eta: 2 days, 6:21:08 batch_cost: 1.1782 data_cost: 0.0056 ips: 33.9492 images/s
[07/27 04:32:10] ppdet.engine INFO: Epoch: [63] [280/732] learning_rate: 0.177194 loss_vfl: 1.370073 loss_bbox: 0.783262 loss_dfl: 0.531015 loss: 2.684525 eta: 2 days, 6:20:43 batch_cost: 1.0883 data_cost: 0.0033 ips: 36.7534 images/s
[07/27 04:32:35] ppdet.engine INFO: Epoch: [63] [300/732] learning_rate: 0.177174 loss_vfl: 1.365598 loss_bbox: 0.783070 loss_dfl: 0.535749 loss: 2.690424 eta: 2 days, 6:20:13 batch_cost: 1.0314 data_cost: 0.0012 ips: 38.7811 images/s
[07/27 04:33:01] ppdet.engine INFO: Epoch: [63] [320/732] learning_rate: 0.177155 loss_vfl: 1.341018 loss_bbox: 0.761836 loss_dfl: 0.515570 loss: 2.602986 eta: 2 days, 6:19:48 batch_cost: 1.0931 data_cost: 0.0052 ips: 36.5937 images/s
[07/27 04:33:30] ppdet.engine INFO: Epoch: [63] [340/732] learning_rate: 0.177135 loss_vfl: 1.346112 loss_bbox: 0.770994 loss_dfl: 0.532558 loss: 2.631491 eta: 2 days, 6:19:35 batch_cost: 1.2589 data_cost: 0.0175 ips: 31.7739 images/s
[07/27 04:33:58] ppdet.engine INFO: Epoch: [63] [360/732] learning_rate: 0.177116 loss_vfl: 1.340818 loss_bbox: 0.779005 loss_dfl: 0.531200 loss: 2.656205 eta: 2 days, 6:19:14 batch_cost: 1.1616 data_cost: 0.0080 ips: 34.4339 images/s
[07/27 04:34:24] ppdet.engine INFO: Epoch: [63] [380/732] learning_rate: 0.177096 loss_vfl: 1.321683 loss_bbox: 0.731582 loss_dfl: 0.514068 loss: 2.567795 eta: 2 days, 6:18:44 batch_cost: 1.0255 data_cost: 0.0090 ips: 39.0072 images/s
[07/27 04:34:51] ppdet.engine INFO: Epoch: [63] [400/732] learning_rate: 0.177077 loss_vfl: 1.353787 loss_bbox: 0.785337 loss_dfl: 0.547950 loss: 2.665617 eta: 2 days, 6:18:24 batch_cost: 1.1667 data_cost: 0.0050 ips: 34.2848 images/s
[07/27 04:35:20] ppdet.engine INFO: Epoch: [63] [420/732] learning_rate: 0.177057 loss_vfl: 1.319857 loss_bbox: 0.752267 loss_dfl: 0.514390 loss: 2.594083 eta: 2 days, 6:18:12 batch_cost: 1.2708 data_cost: 0.0012 ips: 31.4772 images/s
[07/27 04:35:46] ppdet.engine INFO: Epoch: [63] [440/732] learning_rate: 0.177038 loss_vfl: 1.420917 loss_bbox: 0.805461 loss_dfl: 0.555799 loss: 2.778155 eta: 2 days, 6:17:47 batch_cost: 1.0928 data_cost: 0.0042 ips: 36.6016 images/s
[07/27 04:36:13] ppdet.engine INFO: Epoch: [63] [460/732] learning_rate: 0.177018 loss_vfl: 1.366045 loss_bbox: 0.784684 loss_dfl: 0.553643 loss: 2.758881 eta: 2 days, 6:17:28 batch_cost: 1.1793 data_cost: 0.0035 ips: 33.9198 images/s
[07/27 04:36:39] ppdet.engine INFO: Epoch: [63] [480/732] learning_rate: 0.176999 loss_vfl: 1.346722 loss_bbox: 0.777144 loss_dfl: 0.540832 loss: 2.639183 eta: 2 days, 6:17:09 batch_cost: 1.1824 data_cost: 0.0073 ips: 33.8307 images/s
[07/27 04:37:05] ppdet.engine INFO: Epoch: [63] [500/732] learning_rate: 0.176979 loss_vfl: 1.332336 loss_bbox: 0.793143 loss_dfl: 0.536874 loss: 2.699844 eta: 2 days, 6:16:39 batch_cost: 1.0211 data_cost: 0.0148 ips: 39.1724 images/s
[07/27 04:37:34] ppdet.engine INFO: Epoch: [63] [520/732] learning_rate: 0.176960 loss_vfl: 1.358659 loss_bbox: 0.769969 loss_dfl: 0.530700 loss: 2.658585 eta: 2 days, 6:16:24 batch_cost: 1.2332 data_cost: 0.0066 ips: 32.4351 images/s
[07/27 04:38:00] ppdet.engine INFO: Epoch: [63] [540/732] learning_rate: 0.176940 loss_vfl: 1.299813 loss_bbox: 0.745799 loss_dfl: 0.506476 loss: 2.524852 eta: 2 days, 6:15:55 batch_cost: 1.0450 data_cost: 0.0060 ips: 38.2764 images/s
[07/27 04:38:27] ppdet.engine INFO: Epoch: [63] [560/732] learning_rate: 0.176921 loss_vfl: 1.321877 loss_bbox: 0.767269 loss_dfl: 0.525106 loss: 2.598529 eta: 2 days, 6:15:30 batch_cost: 1.0974 data_cost: 0.0148 ips: 36.4484 images/s
[07/27 04:38:52] ppdet.engine INFO: Epoch: [63] [580/732] learning_rate: 0.176901 loss_vfl: 1.325766 loss_bbox: 0.765982 loss_dfl: 0.514177 loss: 2.582485 eta: 2 days, 6:15:03 batch_cost: 1.0684 data_cost: 0.0067 ips: 37.4393 images/s
[07/27 04:39:18] ppdet.engine INFO: Epoch: [63] [600/732] learning_rate: 0.176882 loss_vfl: 1.340806 loss_bbox: 0.745658 loss_dfl: 0.520594 loss: 2.608407 eta: 2 days, 6:14:38 batch_cost: 1.1030 data_cost: 0.0058 ips: 36.2662 images/s
[07/27 04:39:43] ppdet.engine INFO: Epoch: [63] [620/732] learning_rate: 0.176862 loss_vfl: 1.337596 loss_bbox: 0.775551 loss_dfl: 0.530655 loss: 2.632236 eta: 2 days, 6:14:11 batch_cost: 1.0675 data_cost: 0.0076 ips: 37.4712 images/s
[07/27 04:40:10] ppdet.engine INFO: Epoch: [63] [640/732] learning_rate: 0.176843 loss_vfl: 1.371135 loss_bbox: 0.792849 loss_dfl: 0.535663 loss: 2.688251 eta: 2 days, 6:13:51 batch_cost: 1.1598 data_cost: 0.0043 ips: 34.4875 images/s
[07/27 04:40:37] ppdet.engine INFO: Epoch: [63] [660/732] learning_rate: 0.176823 loss_vfl: 1.374277 loss_bbox: 0.744386 loss_dfl: 0.522087 loss: 2.647535 eta: 2 days, 6:13:33 batch_cost: 1.1905 data_cost: 0.0161 ips: 33.6007 images/s
[07/27 04:41:04] ppdet.engine INFO: Epoch: [63] [680/732] learning_rate: 0.176804 loss_vfl: 1.401628 loss_bbox: 0.805772 loss_dfl: 0.562463 loss: 2.789005 eta: 2 days, 6:13:11 batch_cost: 1.1446 data_cost: 0.0048 ips: 34.9456 images/s
[07/27 04:41:31] ppdet.engine INFO: Epoch: [63] [700/732] learning_rate: 0.176784 loss_vfl: 1.387059 loss_bbox: 0.756146 loss_dfl: 0.526037 loss: 2.675107 eta: 2 days, 6:12:52 batch_cost: 1.1770 data_cost: 0.0097 ips: 33.9860 images/s
[07/27 04:41:55] ppdet.engine INFO: Epoch: [63] [720/732] learning_rate: 0.176765 loss_vfl: 1.280639 loss_bbox: 0.746649 loss_dfl: 0.525014 loss: 2.583467 eta: 2 days, 6:12:17 batch_cost: 0.9646 data_cost: 0.0023 ips: 41.4685 images/s
[07/27 04:42:18] ppdet.engine INFO: Epoch: [64] [  0/732] learning_rate: 0.176753 loss_vfl: 1.327321 loss_bbox: 0.777322 loss_dfl: 0.544290 loss: 2.670771 eta: 2 days, 6:12:29 batch_cost: 1.3653 data_cost: 0.4417 ips: 29.2977 images/s
[07/27 04:42:45] ppdet.engine INFO: Epoch: [64] [ 20/732] learning_rate: 0.176733 loss_vfl: 1.334042 loss_bbox: 0.759428 loss_dfl: 0.517127 loss: 2.605445 eta: 2 days, 6:12:03 batch_cost: 1.0895 data_cost: 0.0100 ips: 36.7156 images/s
[07/27 04:43:13] ppdet.engine INFO: Epoch: [64] [ 40/732] learning_rate: 0.176714 loss_vfl: 1.293319 loss_bbox: 0.715266 loss_dfl: 0.493289 loss: 2.500209 eta: 2 days, 6:11:45 batch_cost: 1.1903 data_cost: 0.0058 ips: 33.6056 images/s
[07/27 04:43:41] ppdet.engine INFO: Epoch: [64] [ 60/732] learning_rate: 0.176694 loss_vfl: 1.365270 loss_bbox: 0.775132 loss_dfl: 0.532332 loss: 2.650964 eta: 2 days, 6:11:30 batch_cost: 1.2364 data_cost: 0.0057 ips: 32.3516 images/s
[07/27 04:44:07] ppdet.engine INFO: Epoch: [64] [ 80/732] learning_rate: 0.176674 loss_vfl: 1.302430 loss_bbox: 0.766248 loss_dfl: 0.521660 loss: 2.568337 eta: 2 days, 6:11:05 batch_cost: 1.0978 data_cost: 0.0085 ips: 36.4350 images/s
[07/27 04:44:34] ppdet.engine INFO: Epoch: [64] [100/732] learning_rate: 0.176655 loss_vfl: 1.320861 loss_bbox: 0.770860 loss_dfl: 0.524934 loss: 2.591604 eta: 2 days, 6:10:44 batch_cost: 1.1420 data_cost: 0.0054 ips: 35.0253 images/s
[07/27 04:45:02] ppdet.engine INFO: Epoch: [64] [120/732] learning_rate: 0.176635 loss_vfl: 1.342543 loss_bbox: 0.750434 loss_dfl: 0.521503 loss: 2.616841 eta: 2 days, 6:10:14 batch_cost: 1.0308 data_cost: 0.0032 ips: 38.8032 images/s
[07/27 04:45:31] ppdet.engine INFO: Epoch: [64] [140/732] learning_rate: 0.176616 loss_vfl: 1.330757 loss_bbox: 0.751683 loss_dfl: 0.529001 loss: 2.611896 eta: 2 days, 6:09:57 batch_cost: 1.2107 data_cost: 0.0060 ips: 33.0397 images/s
[07/27 04:45:57] ppdet.engine INFO: Epoch: [64] [160/732] learning_rate: 0.176596 loss_vfl: 1.348669 loss_bbox: 0.742141 loss_dfl: 0.520339 loss: 2.611975 eta: 2 days, 6:09:33 batch_cost: 1.1040 data_cost: 0.0075 ips: 36.2325 images/s
[07/27 04:46:25] ppdet.engine INFO: Epoch: [64] [180/732] learning_rate: 0.176576 loss_vfl: 1.356286 loss_bbox: 0.762007 loss_dfl: 0.532936 loss: 2.689668 eta: 2 days, 6:09:15 batch_cost: 1.1979 data_cost: 0.0053 ips: 33.3914 images/s
[07/27 04:46:53] ppdet.engine INFO: Epoch: [64] [200/732] learning_rate: 0.176557 loss_vfl: 1.381122 loss_bbox: 0.779936 loss_dfl: 0.537146 loss: 2.694551 eta: 2 days, 6:08:55 batch_cost: 1.1603 data_cost: 0.0090 ips: 34.4747 images/s
[07/27 04:47:20] ppdet.engine INFO: Epoch: [64] [220/732] learning_rate: 0.176537 loss_vfl: 1.326194 loss_bbox: 0.773882 loss_dfl: 0.531489 loss: 2.624147 eta: 2 days, 6:08:32 batch_cost: 1.1314 data_cost: 0.0114 ips: 35.3544 images/s
[07/27 04:47:48] ppdet.engine INFO: Epoch: [64] [240/732] learning_rate: 0.176517 loss_vfl: 1.379289 loss_bbox: 0.801194 loss_dfl: 0.550063 loss: 2.699046 eta: 2 days, 6:08:11 batch_cost: 1.1542 data_cost: 0.0016 ips: 34.6568 images/s
[07/27 04:48:15] ppdet.engine INFO: Epoch: [64] [260/732] learning_rate: 0.176498 loss_vfl: 1.296994 loss_bbox: 0.735999 loss_dfl: 0.506964 loss: 2.541684 eta: 2 days, 6:07:50 batch_cost: 1.1487 data_cost: 0.0099 ips: 34.8230 images/s
[07/27 04:48:44] ppdet.engine INFO: Epoch: [64] [280/732] learning_rate: 0.176478 loss_vfl: 1.418427 loss_bbox: 0.809784 loss_dfl: 0.559505 loss: 2.775340 eta: 2 days, 6:07:35 batch_cost: 1.2332 data_cost: 0.0084 ips: 32.4360 images/s
[07/27 04:49:11] ppdet.engine INFO: Epoch: [64] [300/732] learning_rate: 0.176458 loss_vfl: 1.334783 loss_bbox: 0.761377 loss_dfl: 0.527689 loss: 2.598657 eta: 2 days, 6:07:15 batch_cost: 1.1612 data_cost: 0.0054 ips: 34.4474 images/s
[07/27 04:49:36] ppdet.engine INFO: Epoch: [64] [320/732] learning_rate: 0.176439 loss_vfl: 1.373584 loss_bbox: 0.765344 loss_dfl: 0.523703 loss: 2.670423 eta: 2 days, 6:06:46 batch_cost: 1.0457 data_cost: 0.0074 ips: 38.2515 images/s
[07/27 04:50:02] ppdet.engine INFO: Epoch: [64] [340/732] learning_rate: 0.176419 loss_vfl: 1.374386 loss_bbox: 0.738680 loss_dfl: 0.516748 loss: 2.615254 eta: 2 days, 6:06:27 batch_cost: 1.1808 data_cost: 0.0050 ips: 33.8764 images/s
[07/27 04:50:29] ppdet.engine INFO: Epoch: [64] [360/732] learning_rate: 0.176399 loss_vfl: 1.288565 loss_bbox: 0.759504 loss_dfl: 0.516513 loss: 2.553686 eta: 2 days, 6:06:04 batch_cost: 1.1256 data_cost: 0.0180 ips: 35.5380 images/s
[07/27 04:50:55] ppdet.engine INFO: Epoch: [64] [380/732] learning_rate: 0.176380 loss_vfl: 1.319963 loss_bbox: 0.735260 loss_dfl: 0.512238 loss: 2.583916 eta: 2 days, 6:05:39 batch_cost: 1.0931 data_cost: 0.0088 ips: 36.5937 images/s
[07/27 04:51:21] ppdet.engine INFO: Epoch: [64] [400/732] learning_rate: 0.176360 loss_vfl: 1.381878 loss_bbox: 0.798577 loss_dfl: 0.550681 loss: 2.729991 eta: 2 days, 6:05:19 batch_cost: 1.1694 data_cost: 0.0047 ips: 34.2047 images/s
[07/27 04:51:49] ppdet.engine INFO: Epoch: [64] [420/732] learning_rate: 0.176340 loss_vfl: 1.430397 loss_bbox: 0.812599 loss_dfl: 0.556533 loss: 2.799791 eta: 2 days, 6:04:58 batch_cost: 1.1469 data_cost: 0.0077 ips: 34.8773 images/s
[07/27 04:52:16] ppdet.engine INFO: Epoch: [64] [440/732] learning_rate: 0.176320 loss_vfl: 1.347146 loss_bbox: 0.764938 loss_dfl: 0.531946 loss: 2.655982 eta: 2 days, 6:04:36 batch_cost: 1.1374 data_cost: 0.0042 ips: 35.1694 images/s
[07/27 04:52:43] ppdet.engine INFO: Epoch: [64] [460/732] learning_rate: 0.176301 loss_vfl: 1.310882 loss_bbox: 0.717715 loss_dfl: 0.504857 loss: 2.544187 eta: 2 days, 6:04:14 batch_cost: 1.1349 data_cost: 0.0064 ips: 35.2468 images/s
[07/27 04:53:09] ppdet.engine INFO: Epoch: [64] [480/732] learning_rate: 0.176281 loss_vfl: 1.351833 loss_bbox: 0.732115 loss_dfl: 0.505510 loss: 2.563310 eta: 2 days, 6:03:50 batch_cost: 1.1063 data_cost: 0.0022 ips: 36.1577 images/s
[07/27 04:53:33] ppdet.engine INFO: Epoch: [64] [500/732] learning_rate: 0.176261 loss_vfl: 1.413678 loss_bbox: 0.813001 loss_dfl: 0.550177 loss: 2.761075 eta: 2 days, 6:03:22 batch_cost: 1.0560 data_cost: 0.0201 ips: 37.8792 images/s
[07/27 04:53:59] ppdet.engine INFO: Epoch: [64] [520/732] learning_rate: 0.176241 loss_vfl: 1.358686 loss_bbox: 0.761447 loss_dfl: 0.528793 loss: 2.660090 eta: 2 days, 6:02:56 batch_cost: 1.0931 data_cost: 0.0057 ips: 36.5947 images/s
[07/27 04:54:25] ppdet.engine INFO: Epoch: [64] [540/732] learning_rate: 0.176222 loss_vfl: 1.294966 loss_bbox: 0.745250 loss_dfl: 0.505522 loss: 2.541381 eta: 2 days, 6:02:30 batch_cost: 1.0791 data_cost: 0.0093 ips: 37.0686 images/s
[07/27 04:54:51] ppdet.engine INFO: Epoch: [64] [560/732] learning_rate: 0.176202 loss_vfl: 1.368944 loss_bbox: 0.783255 loss_dfl: 0.540873 loss: 2.691496 eta: 2 days, 6:02:03 batch_cost: 1.0754 data_cost: 0.0082 ips: 37.1950 images/s
[07/27 04:55:19] ppdet.engine INFO: Epoch: [64] [580/732] learning_rate: 0.176182 loss_vfl: 1.273166 loss_bbox: 0.739385 loss_dfl: 0.517125 loss: 2.555460 eta: 2 days, 6:01:43 batch_cost: 1.1648 data_cost: 0.0127 ips: 34.3393 images/s
[07/27 04:55:45] ppdet.engine INFO: Epoch: [64] [600/732] learning_rate: 0.176162 loss_vfl: 1.301035 loss_bbox: 0.723347 loss_dfl: 0.507474 loss: 2.558349 eta: 2 days, 6:01:22 batch_cost: 1.1491 data_cost: 0.0066 ips: 34.8088 images/s
[07/27 04:56:13] ppdet.engine INFO: Epoch: [64] [620/732] learning_rate: 0.176143 loss_vfl: 1.363560 loss_bbox: 0.750601 loss_dfl: 0.527292 loss: 2.670474 eta: 2 days, 6:01:11 batch_cost: 1.2796 data_cost: 0.0026 ips: 31.2594 images/s
[07/27 04:56:40] ppdet.engine INFO: Epoch: [64] [640/732] learning_rate: 0.176123 loss_vfl: 1.320327 loss_bbox: 0.744798 loss_dfl: 0.516410 loss: 2.581180 eta: 2 days, 6:00:51 batch_cost: 1.1786 data_cost: 0.0032 ips: 33.9383 images/s
[07/27 04:57:06] ppdet.engine INFO: Epoch: [64] [660/732] learning_rate: 0.176103 loss_vfl: 1.341096 loss_bbox: 0.770756 loss_dfl: 0.531343 loss: 2.622337 eta: 2 days, 6:00:30 batch_cost: 1.1460 data_cost: 0.0062 ips: 34.9042 images/s
[07/27 04:57:34] ppdet.engine INFO: Epoch: [64] [680/732] learning_rate: 0.176083 loss_vfl: 1.335751 loss_bbox: 0.760472 loss_dfl: 0.527746 loss: 2.649191 eta: 2 days, 6:00:09 batch_cost: 1.1470 data_cost: 0.0130 ips: 34.8726 images/s
[07/27 04:58:00] ppdet.engine INFO: Epoch: [64] [700/732] learning_rate: 0.176063 loss_vfl: 1.314936 loss_bbox: 0.776265 loss_dfl: 0.522930 loss: 2.602561 eta: 2 days, 5:59:44 batch_cost: 1.0970 data_cost: 0.0017 ips: 36.4645 images/s
[07/27 04:58:26] ppdet.engine INFO: Epoch: [64] [720/732] learning_rate: 0.176043 loss_vfl: 1.398249 loss_bbox: 0.780959 loss_dfl: 0.532746 loss: 2.713076 eta: 2 days, 5:59:17 batch_cost: 1.0664 data_cost: 0.0076 ips: 37.5079 images/s
[07/27 04:58:49] ppdet.engine INFO: Epoch: [65] [  0/732] learning_rate: 0.176032 loss_vfl: 1.360604 loss_bbox: 0.781963 loss_dfl: 0.535836 loss: 2.689595 eta: 2 days, 5:59:29 batch_cost: 1.4557 data_cost: 0.3153 ips: 27.4782 images/s
[07/27 04:59:17] ppdet.engine INFO: Epoch: [65] [ 20/732] learning_rate: 0.176012 loss_vfl: 1.360363 loss_bbox: 0.754733 loss_dfl: 0.525947 loss: 2.647171 eta: 2 days, 5:59:12 batch_cost: 1.2163 data_cost: 0.0029 ips: 32.8855 images/s
[07/27 04:59:44] ppdet.engine INFO: Epoch: [65] [ 40/732] learning_rate: 0.175992 loss_vfl: 1.307429 loss_bbox: 0.752152 loss_dfl: 0.519939 loss: 2.594306 eta: 2 days, 5:58:48 batch_cost: 1.1073 data_cost: 0.0073 ips: 36.1236 images/s
[07/27 05:00:11] ppdet.engine INFO: Epoch: [65] [ 60/732] learning_rate: 0.175972 loss_vfl: 1.331831 loss_bbox: 0.746091 loss_dfl: 0.518147 loss: 2.590134 eta: 2 days, 5:58:24 batch_cost: 1.1058 data_cost: 0.0052 ips: 36.1732 images/s
[07/27 05:00:38] ppdet.engine INFO: Epoch: [65] [ 80/732] learning_rate: 0.175952 loss_vfl: 1.261564 loss_bbox: 0.738689 loss_dfl: 0.499222 loss: 2.498327 eta: 2 days, 5:57:58 batch_cost: 1.0800 data_cost: 0.0154 ips: 37.0364 images/s
[07/27 05:01:07] ppdet.engine INFO: Epoch: [65] [100/732] learning_rate: 0.175932 loss_vfl: 1.322683 loss_bbox: 0.773898 loss_dfl: 0.520508 loss: 2.575368 eta: 2 days, 5:57:41 batch_cost: 1.2173 data_cost: 0.0168 ips: 32.8597 images/s
[07/27 05:01:32] ppdet.engine INFO: Epoch: [65] [120/732] learning_rate: 0.175912 loss_vfl: 1.312383 loss_bbox: 0.736246 loss_dfl: 0.510837 loss: 2.537183 eta: 2 days, 5:57:12 batch_cost: 1.0321 data_cost: 0.0062 ips: 38.7550 images/s
[07/27 05:01:59] ppdet.engine INFO: Epoch: [65] [140/732] learning_rate: 0.175893 loss_vfl: 1.309456 loss_bbox: 0.740180 loss_dfl: 0.527683 loss: 2.627385 eta: 2 days, 5:56:48 batch_cost: 1.1150 data_cost: 0.0127 ips: 35.8735 images/s
[07/27 05:02:27] ppdet.engine INFO: Epoch: [65] [160/732] learning_rate: 0.175873 loss_vfl: 1.307950 loss_bbox: 0.743416 loss_dfl: 0.523638 loss: 2.603359 eta: 2 days, 5:56:27 batch_cost: 1.1573 data_cost: 0.0081 ips: 34.5638 images/s
[07/27 05:02:53] ppdet.engine INFO: Epoch: [65] [180/732] learning_rate: 0.175853 loss_vfl: 1.295439 loss_bbox: 0.767925 loss_dfl: 0.527794 loss: 2.625170 eta: 2 days, 5:56:05 batch_cost: 1.1299 data_cost: 0.0076 ips: 35.4019 images/s
[07/27 05:03:19] ppdet.engine INFO: Epoch: [65] [200/732] learning_rate: 0.175833 loss_vfl: 1.323619 loss_bbox: 0.746651 loss_dfl: 0.516816 loss: 2.548297 eta: 2 days, 5:55:42 batch_cost: 1.1332 data_cost: 0.0066 ips: 35.2976 images/s
[07/27 05:03:45] ppdet.engine INFO: Epoch: [65] [220/732] learning_rate: 0.175813 loss_vfl: 1.421506 loss_bbox: 0.816971 loss_dfl: 0.557107 loss: 2.774134 eta: 2 days, 5:55:18 batch_cost: 1.1063 data_cost: 0.0033 ips: 36.1565 images/s
[07/27 05:04:10] ppdet.engine INFO: Epoch: [65] [240/732] learning_rate: 0.175793 loss_vfl: 1.317784 loss_bbox: 0.755923 loss_dfl: 0.524759 loss: 2.614038 eta: 2 days, 5:54:49 batch_cost: 1.0331 data_cost: 0.0057 ips: 38.7193 images/s
[07/27 05:04:37] ppdet.engine INFO: Epoch: [65] [260/732] learning_rate: 0.175773 loss_vfl: 1.374181 loss_bbox: 0.764550 loss_dfl: 0.521734 loss: 2.652171 eta: 2 days, 5:54:23 batch_cost: 1.0909 data_cost: 0.0150 ips: 36.6668 images/s
[07/27 05:05:03] ppdet.engine INFO: Epoch: [65] [280/732] learning_rate: 0.175753 loss_vfl: 1.357868 loss_bbox: 0.779122 loss_dfl: 0.539495 loss: 2.718010 eta: 2 days, 5:53:55 batch_cost: 1.0552 data_cost: 0.0113 ips: 37.9068 images/s
[07/27 05:05:30] ppdet.engine INFO: Epoch: [65] [300/732] learning_rate: 0.175733 loss_vfl: 1.381847 loss_bbox: 0.777208 loss_dfl: 0.545457 loss: 2.688317 eta: 2 days, 5:53:32 batch_cost: 1.1261 data_cost: 0.0068 ips: 35.5210 images/s
[07/27 05:05:57] ppdet.engine INFO: Epoch: [65] [320/732] learning_rate: 0.175713 loss_vfl: 1.335651 loss_bbox: 0.760638 loss_dfl: 0.522483 loss: 2.633685 eta: 2 days, 5:53:10 batch_cost: 1.1373 data_cost: 0.0065 ips: 35.1715 images/s
[07/27 05:06:22] ppdet.engine INFO: Epoch: [65] [340/732] learning_rate: 0.175693 loss_vfl: 1.315103 loss_bbox: 0.749871 loss_dfl: 0.517914 loss: 2.565795 eta: 2 days, 5:52:40 batch_cost: 1.0203 data_cost: 0.0048 ips: 39.2023 images/s
[07/27 05:06:49] ppdet.engine INFO: Epoch: [65] [360/732] learning_rate: 0.175673 loss_vfl: 1.308442 loss_bbox: 0.789456 loss_dfl: 0.527824 loss: 2.602028 eta: 2 days, 5:52:14 batch_cost: 1.0829 data_cost: 0.0069 ips: 36.9395 images/s
[07/27 05:07:15] ppdet.engine INFO: Epoch: [65] [380/732] learning_rate: 0.175653 loss_vfl: 1.350286 loss_bbox: 0.740587 loss_dfl: 0.515916 loss: 2.603282 eta: 2 days, 5:51:49 batch_cost: 1.1000 data_cost: 0.0137 ips: 36.3646 images/s
[07/27 05:07:42] ppdet.engine INFO: Epoch: [65] [400/732] learning_rate: 0.175633 loss_vfl: 1.314602 loss_bbox: 0.738440 loss_dfl: 0.512712 loss: 2.553019 eta: 2 days, 5:51:23 batch_cost: 1.0816 data_cost: 0.0072 ips: 36.9820 images/s
[07/27 05:08:07] ppdet.engine INFO: Epoch: [65] [420/732] learning_rate: 0.175613 loss_vfl: 1.356252 loss_bbox: 0.789976 loss_dfl: 0.535736 loss: 2.675800 eta: 2 days, 5:50:57 batch_cost: 1.0813 data_cost: 0.0082 ips: 36.9930 images/s
[07/27 05:08:33] ppdet.engine INFO: Epoch: [65] [440/732] learning_rate: 0.175593 loss_vfl: 1.338292 loss_bbox: 0.754046 loss_dfl: 0.521343 loss: 2.610984 eta: 2 days, 5:50:27 batch_cost: 1.0209 data_cost: 0.0064 ips: 39.1821 images/s
[07/27 05:09:00] ppdet.engine INFO: Epoch: [65] [460/732] learning_rate: 0.175573 loss_vfl: 1.336567 loss_bbox: 0.781871 loss_dfl: 0.536414 loss: 2.652332 eta: 2 days, 5:50:05 batch_cost: 1.1477 data_cost: 0.0029 ips: 34.8527 images/s
[07/27 05:09:27] ppdet.engine INFO: Epoch: [65] [480/732] learning_rate: 0.175553 loss_vfl: 1.353761 loss_bbox: 0.775754 loss_dfl: 0.527899 loss: 2.634137 eta: 2 days, 5:49:48 batch_cost: 1.2046 data_cost: 0.0051 ips: 33.2063 images/s
[07/27 05:09:53] ppdet.engine INFO: Epoch: [65] [500/732] learning_rate: 0.175533 loss_vfl: 1.366920 loss_bbox: 0.770703 loss_dfl: 0.538609 loss: 2.708616 eta: 2 days, 5:49:20 batch_cost: 1.0492 data_cost: 0.0069 ips: 38.1226 images/s
[07/27 05:10:20] ppdet.engine INFO: Epoch: [65] [520/732] learning_rate: 0.175513 loss_vfl: 1.323277 loss_bbox: 0.781042 loss_dfl: 0.536238 loss: 2.627153 eta: 2 days, 5:48:55 batch_cost: 1.0950 data_cost: 0.0068 ips: 36.5282 images/s
[07/27 05:10:46] ppdet.engine INFO: Epoch: [65] [540/732] learning_rate: 0.175493 loss_vfl: 1.350820 loss_bbox: 0.775900 loss_dfl: 0.539280 loss: 2.659664 eta: 2 days, 5:48:27 batch_cost: 1.0627 data_cost: 0.0103 ips: 37.6397 images/s
[07/27 05:11:14] ppdet.engine INFO: Epoch: [65] [560/732] learning_rate: 0.175473 loss_vfl: 1.391472 loss_bbox: 0.770611 loss_dfl: 0.530162 loss: 2.679399 eta: 2 days, 5:48:06 batch_cost: 1.1496 data_cost: 0.0067 ips: 34.7935 images/s
[07/27 05:11:41] ppdet.engine INFO: Epoch: [65] [580/732] learning_rate: 0.175453 loss_vfl: 1.388981 loss_bbox: 0.751484 loss_dfl: 0.526193 loss: 2.685293 eta: 2 days, 5:47:44 batch_cost: 1.1377 data_cost: 0.0029 ips: 35.1600 images/s
[07/27 05:12:09] ppdet.engine INFO: Epoch: [65] [600/732] learning_rate: 0.175433 loss_vfl: 1.342595 loss_bbox: 0.752774 loss_dfl: 0.518800 loss: 2.644441 eta: 2 days, 5:47:23 batch_cost: 1.1455 data_cost: 0.0061 ips: 34.9179 images/s
[07/27 05:12:36] ppdet.engine INFO: Epoch: [65] [620/732] learning_rate: 0.175413 loss_vfl: 1.287673 loss_bbox: 0.702411 loss_dfl: 0.497993 loss: 2.481457 eta: 2 days, 5:47:02 batch_cost: 1.1584 data_cost: 0.0068 ips: 34.5312 images/s
[07/27 05:13:03] ppdet.engine INFO: Epoch: [65] [640/732] learning_rate: 0.175393 loss_vfl: 1.326476 loss_bbox: 0.763519 loss_dfl: 0.517769 loss: 2.592493 eta: 2 days, 5:46:34 batch_cost: 1.0566 data_cost: 0.0074 ips: 37.8574 images/s
[07/27 05:13:30] ppdet.engine INFO: Epoch: [65] [660/732] learning_rate: 0.175373 loss_vfl: 1.347157 loss_bbox: 0.749541 loss_dfl: 0.519361 loss: 2.579573 eta: 2 days, 5:46:13 batch_cost: 1.1493 data_cost: 0.0026 ips: 34.8030 images/s
[07/27 05:13:56] ppdet.engine INFO: Epoch: [65] [680/732] learning_rate: 0.175353 loss_vfl: 1.335753 loss_bbox: 0.776784 loss_dfl: 0.531102 loss: 2.646863 eta: 2 days, 5:45:50 batch_cost: 1.1159 data_cost: 0.0061 ips: 35.8448 images/s
[07/27 05:14:24] ppdet.engine INFO: Epoch: [65] [700/732] learning_rate: 0.175333 loss_vfl: 1.353407 loss_bbox: 0.742310 loss_dfl: 0.515228 loss: 2.645129 eta: 2 days, 5:45:36 batch_cost: 1.2535 data_cost: 0.0037 ips: 31.9115 images/s
[07/27 05:14:52] ppdet.engine INFO: Epoch: [65] [720/732] learning_rate: 0.175313 loss_vfl: 1.378653 loss_bbox: 0.776974 loss_dfl: 0.544226 loss: 2.724856 eta: 2 days, 5:45:19 batch_cost: 1.2138 data_cost: 0.0083 ips: 32.9540 images/s
[07/27 05:15:15] ppdet.engine INFO: Epoch: [66] [  0/732] learning_rate: 0.175301 loss_vfl: 1.370100 loss_bbox: 0.772324 loss_dfl: 0.545501 loss: 2.718308 eta: 2 days, 5:45:32 batch_cost: 1.4737 data_cost: 0.5633 ips: 27.1418 images/s
[07/27 05:15:45] ppdet.engine INFO: Epoch: [66] [ 20/732] learning_rate: 0.175281 loss_vfl: 1.391650 loss_bbox: 0.767338 loss_dfl: 0.535720 loss: 2.700892 eta: 2 days, 5:45:21 batch_cost: 1.3021 data_cost: 0.0046 ips: 30.7189 images/s
[07/27 05:16:11] ppdet.engine INFO: Epoch: [66] [ 40/732] learning_rate: 0.175261 loss_vfl: 1.361659 loss_bbox: 0.783322 loss_dfl: 0.531598 loss: 2.685396 eta: 2 days, 5:44:57 batch_cost: 1.1065 data_cost: 0.0054 ips: 36.1497 images/s
[07/27 05:16:39] ppdet.engine INFO: Epoch: [66] [ 60/732] learning_rate: 0.175241 loss_vfl: 1.310525 loss_bbox: 0.747299 loss_dfl: 0.510329 loss: 2.566773 eta: 2 days, 5:44:42 batch_cost: 1.2318 data_cost: 0.0057 ips: 32.4735 images/s
[07/27 05:17:06] ppdet.engine INFO: Epoch: [66] [ 80/732] learning_rate: 0.175220 loss_vfl: 1.377321 loss_bbox: 0.793781 loss_dfl: 0.543470 loss: 2.700150 eta: 2 days, 5:44:21 batch_cost: 1.1553 data_cost: 0.0043 ips: 34.6244 images/s
[07/27 05:17:32] ppdet.engine INFO: Epoch: [66] [100/732] learning_rate: 0.175200 loss_vfl: 1.352021 loss_bbox: 0.777380 loss_dfl: 0.537375 loss: 2.670113 eta: 2 days, 5:43:57 batch_cost: 1.1168 data_cost: 0.0023 ips: 35.8162 images/s
[07/27 05:17:58] ppdet.engine INFO: Epoch: [66] [120/732] learning_rate: 0.175180 loss_vfl: 1.309769 loss_bbox: 0.739782 loss_dfl: 0.514257 loss: 2.571774 eta: 2 days, 5:43:36 batch_cost: 1.1514 data_cost: 0.0210 ips: 34.7417 images/s
[07/27 05:18:25] ppdet.engine INFO: Epoch: [66] [140/732] learning_rate: 0.175160 loss_vfl: 1.371420 loss_bbox: 0.772640 loss_dfl: 0.533310 loss: 2.662023 eta: 2 days, 5:43:12 batch_cost: 1.1113 data_cost: 0.0037 ips: 35.9935 images/s
[07/27 05:18:52] ppdet.engine INFO: Epoch: [66] [160/732] learning_rate: 0.175140 loss_vfl: 1.383402 loss_bbox: 0.787128 loss_dfl: 0.544447 loss: 2.707283 eta: 2 days, 5:42:49 batch_cost: 1.1214 data_cost: 0.0065 ips: 35.6710 images/s
[07/27 05:19:18] ppdet.engine INFO: Epoch: [66] [180/732] learning_rate: 0.175120 loss_vfl: 1.356563 loss_bbox: 0.755617 loss_dfl: 0.533812 loss: 2.645640 eta: 2 days, 5:42:22 batch_cost: 1.0643 data_cost: 0.0057 ips: 37.5836 images/s
[07/27 05:19:44] ppdet.engine INFO: Epoch: [66] [200/732] learning_rate: 0.175100 loss_vfl: 1.336372 loss_bbox: 0.761172 loss_dfl: 0.519848 loss: 2.599359 eta: 2 days, 5:41:56 batch_cost: 1.0762 data_cost: 0.0038 ips: 37.1662 images/s
[07/27 05:20:09] ppdet.engine INFO: Epoch: [66] [220/732] learning_rate: 0.175079 loss_vfl: 1.324081 loss_bbox: 0.750748 loss_dfl: 0.508133 loss: 2.562939 eta: 2 days, 5:41:26 batch_cost: 1.0300 data_cost: 0.0055 ips: 38.8336 images/s
[07/27 05:20:36] ppdet.engine INFO: Epoch: [66] [240/732] learning_rate: 0.175059 loss_vfl: 1.361736 loss_bbox: 0.780779 loss_dfl: 0.535422 loss: 2.676008 eta: 2 days, 5:41:04 batch_cost: 1.1448 data_cost: 0.0003 ips: 34.9408 images/s
[07/27 05:21:02] ppdet.engine INFO: Epoch: [66] [260/732] learning_rate: 0.175039 loss_vfl: 1.377162 loss_bbox: 0.768449 loss_dfl: 0.538077 loss: 2.673816 eta: 2 days, 5:40:39 batch_cost: 1.0913 data_cost: 0.0040 ips: 36.6533 images/s
[07/27 05:21:31] ppdet.engine INFO: Epoch: [66] [280/732] learning_rate: 0.175019 loss_vfl: 1.356395 loss_bbox: 0.754299 loss_dfl: 0.522813 loss: 2.619208 eta: 2 days, 5:40:29 batch_cost: 1.3068 data_cost: 0.0108 ips: 30.6090 images/s
[07/27 05:21:56] ppdet.engine INFO: Epoch: [66] [300/732] learning_rate: 0.174999 loss_vfl: 1.355654 loss_bbox: 0.766158 loss_dfl: 0.522176 loss: 2.607734 eta: 2 days, 5:40:00 batch_cost: 1.0370 data_cost: 0.0064 ips: 38.5720 images/s
[07/27 05:22:21] ppdet.engine INFO: Epoch: [66] [320/732] learning_rate: 0.174979 loss_vfl: 1.351902 loss_bbox: 0.778845 loss_dfl: 0.536284 loss: 2.662214 eta: 2 days, 5:39:34 batch_cost: 1.0791 data_cost: 0.0061 ips: 37.0682 images/s
[07/27 05:22:49] ppdet.engine INFO: Epoch: [66] [340/732] learning_rate: 0.174958 loss_vfl: 1.340375 loss_bbox: 0.761357 loss_dfl: 0.525367 loss: 2.630700 eta: 2 days, 5:39:14 batch_cost: 1.1743 data_cost: 0.0085 ips: 34.0629 images/s
[07/27 05:23:17] ppdet.engine INFO: Epoch: [66] [360/732] learning_rate: 0.174938 loss_vfl: 1.316566 loss_bbox: 0.747704 loss_dfl: 0.505092 loss: 2.561213 eta: 2 days, 5:38:56 batch_cost: 1.1921 data_cost: 0.0060 ips: 33.5532 images/s
[07/27 05:23:43] ppdet.engine INFO: Epoch: [66] [380/732] learning_rate: 0.174918 loss_vfl: 1.347926 loss_bbox: 0.749171 loss_dfl: 0.531869 loss: 2.644208 eta: 2 days, 5:38:29 batch_cost: 1.0690 data_cost: 0.0033 ips: 37.4178 images/s
[07/27 05:24:11] ppdet.engine INFO: Epoch: [66] [400/732] learning_rate: 0.174898 loss_vfl: 1.386568 loss_bbox: 0.765413 loss_dfl: 0.530504 loss: 2.663090 eta: 2 days, 5:38:13 batch_cost: 1.2304 data_cost: 0.0029 ips: 32.5100 images/s
[07/27 05:24:37] ppdet.engine INFO: Epoch: [66] [420/732] learning_rate: 0.174877 loss_vfl: 1.319617 loss_bbox: 0.753818 loss_dfl: 0.519485 loss: 2.583266 eta: 2 days, 5:37:50 batch_cost: 1.1216 data_cost: 0.0019 ips: 35.6639 images/s
[07/27 05:25:03] ppdet.engine INFO: Epoch: [66] [440/732] learning_rate: 0.174857 loss_vfl: 1.342278 loss_bbox: 0.774242 loss_dfl: 0.522457 loss: 2.643869 eta: 2 days, 5:37:21 batch_cost: 1.0322 data_cost: 0.0087 ips: 38.7523 images/s
[07/27 05:25:30] ppdet.engine INFO: Epoch: [66] [460/732] learning_rate: 0.174837 loss_vfl: 1.327712 loss_bbox: 0.747847 loss_dfl: 0.516535 loss: 2.616459 eta: 2 days, 5:36:54 batch_cost: 1.0679 data_cost: 0.0110 ips: 37.4567 images/s
[07/27 05:25:56] ppdet.engine INFO: Epoch: [66] [480/732] learning_rate: 0.174817 loss_vfl: 1.349351 loss_bbox: 0.756083 loss_dfl: 0.523083 loss: 2.606310 eta: 2 days, 5:36:31 batch_cost: 1.1301 data_cost: 0.0056 ips: 35.3936 images/s
[07/27 05:26:24] ppdet.engine INFO: Epoch: [66] [500/732] learning_rate: 0.174796 loss_vfl: 1.353230 loss_bbox: 0.734092 loss_dfl: 0.517028 loss: 2.599662 eta: 2 days, 5:36:16 batch_cost: 1.2378 data_cost: 0.0062 ips: 32.3155 images/s
[07/27 05:26:51] ppdet.engine INFO: Epoch: [66] [520/732] learning_rate: 0.174776 loss_vfl: 1.336047 loss_bbox: 0.759760 loss_dfl: 0.525604 loss: 2.632611 eta: 2 days, 5:35:58 batch_cost: 1.1975 data_cost: 0.0057 ips: 33.4043 images/s
[07/27 05:27:17] ppdet.engine INFO: Epoch: [66] [540/732] learning_rate: 0.174756 loss_vfl: 1.318508 loss_bbox: 0.757327 loss_dfl: 0.523232 loss: 2.583947 eta: 2 days, 5:35:33 batch_cost: 1.0940 data_cost: 0.0049 ips: 36.5621 images/s
[07/27 05:27:45] ppdet.engine INFO: Epoch: [66] [560/732] learning_rate: 0.174736 loss_vfl: 1.308648 loss_bbox: 0.742192 loss_dfl: 0.515420 loss: 2.535183 eta: 2 days, 5:35:14 batch_cost: 1.1754 data_cost: 0.0043 ips: 34.0301 images/s
[07/27 05:28:12] ppdet.engine INFO: Epoch: [66] [580/732] learning_rate: 0.174715 loss_vfl: 1.390464 loss_bbox: 0.790270 loss_dfl: 0.549266 loss: 2.724498 eta: 2 days, 5:34:53 batch_cost: 1.1549 data_cost: 0.0090 ips: 34.6344 images/s
[07/27 05:28:38] ppdet.engine INFO: Epoch: [66] [600/732] learning_rate: 0.174695 loss_vfl: 1.407119 loss_bbox: 0.806447 loss_dfl: 0.557407 loss: 2.782632 eta: 2 days, 5:34:31 batch_cost: 1.1326 data_cost: 0.0037 ips: 35.3185 images/s
[07/27 05:29:03] ppdet.engine INFO: Epoch: [66] [620/732] learning_rate: 0.174675 loss_vfl: 1.362032 loss_bbox: 0.777426 loss_dfl: 0.532940 loss: 2.669326 eta: 2 days, 5:34:06 batch_cost: 1.1060 data_cost: 0.0084 ips: 36.1668 images/s
[07/27 05:29:30] ppdet.engine INFO: Epoch: [66] [640/732] learning_rate: 0.174654 loss_vfl: 1.297176 loss_bbox: 0.710874 loss_dfl: 0.494347 loss: 2.500959 eta: 2 days, 5:33:48 batch_cost: 1.1872 data_cost: 0.0030 ips: 33.6931 images/s
[07/27 05:29:58] ppdet.engine INFO: Epoch: [66] [660/732] learning_rate: 0.174634 loss_vfl: 1.326307 loss_bbox: 0.738718 loss_dfl: 0.521808 loss: 2.604291 eta: 2 days, 5:33:28 batch_cost: 1.1776 data_cost: 0.0066 ips: 33.9668 images/s
[07/27 05:30:24] ppdet.engine INFO: Epoch: [66] [680/732] learning_rate: 0.174614 loss_vfl: 1.377510 loss_bbox: 0.794717 loss_dfl: 0.544626 loss: 2.736173 eta: 2 days, 5:33:05 batch_cost: 1.1143 data_cost: 0.0069 ips: 35.8983 images/s
[07/27 05:30:51] ppdet.engine INFO: Epoch: [66] [700/732] learning_rate: 0.174594 loss_vfl: 1.318734 loss_bbox: 0.729001 loss_dfl: 0.511256 loss: 2.574957 eta: 2 days, 5:32:41 batch_cost: 1.1212 data_cost: 0.0016 ips: 35.6759 images/s
[07/27 05:31:17] ppdet.engine INFO: Epoch: [66] [720/732] learning_rate: 0.174573 loss_vfl: 1.359113 loss_bbox: 0.790138 loss_dfl: 0.545191 loss: 2.699320 eta: 2 days, 5:32:19 batch_cost: 1.1301 data_cost: 0.0029 ips: 35.3949 images/s
[07/27 05:31:40] ppdet.engine INFO: Epoch: [67] [  0/732] learning_rate: 0.174561 loss_vfl: 1.324751 loss_bbox: 0.777641 loss_dfl: 0.540269 loss: 2.676842 eta: 2 days, 5:32:27 batch_cost: 1.4849 data_cost: 0.5687 ips: 26.9377 images/s
[07/27 05:32:09] ppdet.engine INFO: Epoch: [67] [ 20/732] learning_rate: 0.174541 loss_vfl: 1.356870 loss_bbox: 0.774581 loss_dfl: 0.549020 loss: 2.660296 eta: 2 days, 5:32:09 batch_cost: 1.1935 data_cost: 0.0080 ips: 33.5153 images/s
[07/27 05:32:35] ppdet.engine INFO: Epoch: [67] [ 40/732] learning_rate: 0.174520 loss_vfl: 1.306628 loss_bbox: 0.724876 loss_dfl: 0.508738 loss: 2.546024 eta: 2 days, 5:31:41 batch_cost: 1.0560 data_cost: 0.0026 ips: 37.8805 images/s
[07/27 05:33:03] ppdet.engine INFO: Epoch: [67] [ 60/732] learning_rate: 0.174500 loss_vfl: 1.360329 loss_bbox: 0.774126 loss_dfl: 0.537131 loss: 2.688043 eta: 2 days, 5:31:20 batch_cost: 1.1454 data_cost: 0.0057 ips: 34.9237 images/s
[07/27 05:33:30] ppdet.engine INFO: Epoch: [67] [ 80/732] learning_rate: 0.174480 loss_vfl: 1.347292 loss_bbox: 0.792763 loss_dfl: 0.543994 loss: 2.699754 eta: 2 days, 5:30:57 batch_cost: 1.1224 data_cost: 0.0035 ips: 35.6387 images/s
[07/27 05:33:57] ppdet.engine INFO: Epoch: [67] [100/732] learning_rate: 0.174459 loss_vfl: 1.387627 loss_bbox: 0.759612 loss_dfl: 0.531059 loss: 2.704695 eta: 2 days, 5:30:36 batch_cost: 1.1531 data_cost: 0.0050 ips: 34.6904 images/s
[07/27 05:34:24] ppdet.engine INFO: Epoch: [67] [120/732] learning_rate: 0.174439 loss_vfl: 1.375323 loss_bbox: 0.764894 loss_dfl: 0.533674 loss: 2.675641 eta: 2 days, 5:30:13 batch_cost: 1.1262 data_cost: 0.0049 ips: 35.5190 images/s
[07/27 05:34:51] ppdet.engine INFO: Epoch: [67] [140/732] learning_rate: 0.174418 loss_vfl: 1.348400 loss_bbox: 0.761927 loss_dfl: 0.523473 loss: 2.642514 eta: 2 days, 5:29:49 batch_cost: 1.1081 data_cost: 0.0054 ips: 36.0984 images/s
[07/27 05:35:18] ppdet.engine INFO: Epoch: [67] [160/732] learning_rate: 0.174398 loss_vfl: 1.266527 loss_bbox: 0.744129 loss_dfl: 0.506285 loss: 2.506204 eta: 2 days, 5:29:23 batch_cost: 1.0843 data_cost: 0.0073 ips: 36.8901 images/s
[07/27 05:35:44] ppdet.engine INFO: Epoch: [67] [180/732] learning_rate: 0.174378 loss_vfl: 1.307561 loss_bbox: 0.743985 loss_dfl: 0.515976 loss: 2.567588 eta: 2 days, 5:29:00 batch_cost: 1.1333 data_cost: 0.0040 ips: 35.2949 images/s
[07/27 05:36:11] ppdet.engine INFO: Epoch: [67] [200/732] learning_rate: 0.174357 loss_vfl: 1.325470 loss_bbox: 0.769438 loss_dfl: 0.529076 loss: 2.641832 eta: 2 days, 5:28:39 batch_cost: 1.1392 data_cost: 0.0073 ips: 35.1122 images/s
[07/27 05:36:39] ppdet.engine INFO: Epoch: [67] [220/732] learning_rate: 0.174337 loss_vfl: 1.285325 loss_bbox: 0.729010 loss_dfl: 0.501219 loss: 2.538113 eta: 2 days, 5:28:21 batch_cost: 1.2004 data_cost: 0.0046 ips: 33.3213 images/s
[07/27 05:37:06] ppdet.engine INFO: Epoch: [67] [240/732] learning_rate: 0.174316 loss_vfl: 1.363865 loss_bbox: 0.771016 loss_dfl: 0.527618 loss: 2.645700 eta: 2 days, 5:27:58 batch_cost: 1.1258 data_cost: 0.0057 ips: 35.5300 images/s
[07/27 05:37:35] ppdet.engine INFO: Epoch: [67] [260/732] learning_rate: 0.174296 loss_vfl: 1.336936 loss_bbox: 0.756132 loss_dfl: 0.533982 loss: 2.652050 eta: 2 days, 5:27:41 batch_cost: 1.2088 data_cost: 0.0098 ips: 33.0914 images/s
[07/27 05:38:02] ppdet.engine INFO: Epoch: [67] [280/732] learning_rate: 0.174276 loss_vfl: 1.340469 loss_bbox: 0.765036 loss_dfl: 0.524394 loss: 2.630363 eta: 2 days, 5:27:21 batch_cost: 1.1756 data_cost: 0.0106 ips: 34.0248 images/s
[07/27 05:38:29] ppdet.engine INFO: Epoch: [67] [300/732] learning_rate: 0.174255 loss_vfl: 1.299934 loss_bbox: 0.746967 loss_dfl: 0.511416 loss: 2.556130 eta: 2 days, 5:26:58 batch_cost: 1.1224 data_cost: 0.0064 ips: 35.6378 images/s
[07/27 05:38:56] ppdet.engine INFO: Epoch: [67] [320/732] learning_rate: 0.174235 loss_vfl: 1.295170 loss_bbox: 0.724458 loss_dfl: 0.507250 loss: 2.517872 eta: 2 days, 5:26:37 batch_cost: 1.1592 data_cost: 0.0070 ips: 34.5058 images/s
[07/27 05:39:24] ppdet.engine INFO: Epoch: [67] [340/732] learning_rate: 0.174214 loss_vfl: 1.317823 loss_bbox: 0.724420 loss_dfl: 0.505359 loss: 2.545415 eta: 2 days, 5:26:19 batch_cost: 1.1887 data_cost: 0.0036 ips: 33.6492 images/s
[07/27 05:39:52] ppdet.engine INFO: Epoch: [67] [360/732] learning_rate: 0.174194 loss_vfl: 1.339442 loss_bbox: 0.725070 loss_dfl: 0.511197 loss: 2.590939 eta: 2 days, 5:25:59 batch_cost: 1.1675 data_cost: 0.0077 ips: 34.2615 images/s
[07/27 05:40:19] ppdet.engine INFO: Epoch: [67] [380/732] learning_rate: 0.174173 loss_vfl: 1.344071 loss_bbox: 0.767214 loss_dfl: 0.523796 loss: 2.621819 eta: 2 days, 5:25:36 batch_cost: 1.1218 data_cost: 0.0100 ips: 35.6560 images/s
[07/27 05:40:45] ppdet.engine INFO: Epoch: [67] [400/732] learning_rate: 0.174153 loss_vfl: 1.337991 loss_bbox: 0.783892 loss_dfl: 0.534915 loss: 2.665440 eta: 2 days, 5:25:08 batch_cost: 1.0603 data_cost: 0.0070 ips: 37.7256 images/s
[07/27 05:41:13] ppdet.engine INFO: Epoch: [67] [420/732] learning_rate: 0.174132 loss_vfl: 1.354304 loss_bbox: 0.807417 loss_dfl: 0.547773 loss: 2.709494 eta: 2 days, 5:24:45 batch_cost: 1.1195 data_cost: 0.0135 ips: 35.7297 images/s
[07/27 05:41:40] ppdet.engine INFO: Epoch: [67] [440/732] learning_rate: 0.174112 loss_vfl: 1.363531 loss_bbox: 0.756430 loss_dfl: 0.534691 loss: 2.685101 eta: 2 days, 5:24:23 batch_cost: 1.1406 data_cost: 0.0109 ips: 35.0698 images/s
[07/27 05:42:07] ppdet.engine INFO: Epoch: [67] [460/732] learning_rate: 0.174091 loss_vfl: 1.323015 loss_bbox: 0.759446 loss_dfl: 0.519913 loss: 2.602781 eta: 2 days, 5:24:03 batch_cost: 1.1661 data_cost: 0.0030 ips: 34.3016 images/s
[07/27 05:42:35] ppdet.engine INFO: Epoch: [67] [480/732] learning_rate: 0.174071 loss_vfl: 1.424712 loss_bbox: 0.819246 loss_dfl: 0.558480 loss: 2.795078 eta: 2 days, 5:23:46 batch_cost: 1.2189 data_cost: 0.0158 ips: 32.8156 images/s
[07/27 05:43:02] ppdet.engine INFO: Epoch: [67] [500/732] learning_rate: 0.174050 loss_vfl: 1.339455 loss_bbox: 0.741864 loss_dfl: 0.513376 loss: 2.575388 eta: 2 days, 5:23:23 batch_cost: 1.1152 data_cost: 0.0010 ips: 35.8686 images/s
[07/27 05:43:29] ppdet.engine INFO: Epoch: [67] [520/732] learning_rate: 0.174030 loss_vfl: 1.257123 loss_bbox: 0.734444 loss_dfl: 0.503662 loss: 2.516891 eta: 2 days, 5:22:58 batch_cost: 1.0923 data_cost: 0.0050 ips: 36.6206 images/s
[07/27 05:43:55] ppdet.engine INFO: Epoch: [67] [540/732] learning_rate: 0.174009 loss_vfl: 1.308078 loss_bbox: 0.724309 loss_dfl: 0.501675 loss: 2.535555 eta: 2 days, 5:22:34 batch_cost: 1.1137 data_cost: 0.0043 ips: 35.9157 images/s
[07/27 05:44:22] ppdet.engine INFO: Epoch: [67] [560/732] learning_rate: 0.173989 loss_vfl: 1.336066 loss_bbox: 0.770081 loss_dfl: 0.528675 loss: 2.641539 eta: 2 days, 5:22:10 batch_cost: 1.1129 data_cost: 0.0045 ips: 35.9408 images/s
[07/27 05:44:48] ppdet.engine INFO: Epoch: [67] [580/732] learning_rate: 0.173968 loss_vfl: 1.346997 loss_bbox: 0.771589 loss_dfl: 0.526956 loss: 2.685108 eta: 2 days, 5:21:44 batch_cost: 1.0783 data_cost: 0.0171 ips: 37.0948 images/s
[07/27 05:45:15] ppdet.engine INFO: Epoch: [67] [600/732] learning_rate: 0.173948 loss_vfl: 1.294479 loss_bbox: 0.738944 loss_dfl: 0.515533 loss: 2.536431 eta: 2 days, 5:21:25 batch_cost: 1.1886 data_cost: 0.0054 ips: 33.6537 images/s
[07/27 05:45:43] ppdet.engine INFO: Epoch: [67] [620/732] learning_rate: 0.173927 loss_vfl: 1.332413 loss_bbox: 0.743861 loss_dfl: 0.505619 loss: 2.585220 eta: 2 days, 5:21:05 batch_cost: 1.1572 data_cost: 0.0054 ips: 34.5664 images/s
[07/27 05:46:10] ppdet.engine INFO: Epoch: [67] [640/732] learning_rate: 0.173907 loss_vfl: 1.367924 loss_bbox: 0.777421 loss_dfl: 0.530833 loss: 2.655684 eta: 2 days, 5:20:39 batch_cost: 1.0909 data_cost: 0.0021 ips: 36.6684 images/s
[07/27 05:46:37] ppdet.engine INFO: Epoch: [67] [660/732] learning_rate: 0.173886 loss_vfl: 1.341762 loss_bbox: 0.766477 loss_dfl: 0.522162 loss: 2.617515 eta: 2 days, 5:20:12 batch_cost: 1.0688 data_cost: 0.0033 ips: 37.4261 images/s
[07/27 05:47:04] ppdet.engine INFO: Epoch: [67] [680/732] learning_rate: 0.173865 loss_vfl: 1.291471 loss_bbox: 0.738166 loss_dfl: 0.508892 loss: 2.545037 eta: 2 days, 5:19:53 batch_cost: 1.1760 data_cost: 0.0084 ips: 34.0139 images/s
[07/27 05:47:31] ppdet.engine INFO: Epoch: [67] [700/732] learning_rate: 0.173845 loss_vfl: 1.351736 loss_bbox: 0.742788 loss_dfl: 0.518403 loss: 2.615015 eta: 2 days, 5:19:30 batch_cost: 1.1277 data_cost: 0.0071 ips: 35.4705 images/s
[07/27 05:47:58] ppdet.engine INFO: Epoch: [67] [720/732] learning_rate: 0.173824 loss_vfl: 1.360665 loss_bbox: 0.755663 loss_dfl: 0.524972 loss: 2.650671 eta: 2 days, 5:18:59 batch_cost: 1.0109 data_cost: 0.0113 ips: 39.5675 images/s
[07/27 05:48:21] ppdet.engine INFO: Epoch: [68] [  0/732] learning_rate: 0.173812 loss_vfl: 1.369282 loss_bbox: 0.772575 loss_dfl: 0.531582 loss: 2.689185 eta: 2 days, 5:19:09 batch_cost: 1.4107 data_cost: 0.5672 ips: 28.3538 images/s
[07/27 05:48:48] ppdet.engine INFO: Epoch: [68] [ 20/732] learning_rate: 0.173791 loss_vfl: 1.256404 loss_bbox: 0.705310 loss_dfl: 0.492282 loss: 2.458900 eta: 2 days, 5:18:45 batch_cost: 1.1041 data_cost: 0.0053 ips: 36.2280 images/s
[07/27 05:49:15] ppdet.engine INFO: Epoch: [68] [ 40/732] learning_rate: 0.173771 loss_vfl: 1.295709 loss_bbox: 0.756177 loss_dfl: 0.516470 loss: 2.566383 eta: 2 days, 5:18:21 batch_cost: 1.1107 data_cost: 0.0090 ips: 36.0147 images/s
[07/27 05:49:42] ppdet.engine INFO: Epoch: [68] [ 60/732] learning_rate: 0.173750 loss_vfl: 1.298717 loss_bbox: 0.721756 loss_dfl: 0.503158 loss: 2.509524 eta: 2 days, 5:18:00 batch_cost: 1.1538 data_cost: 0.0057 ips: 34.6673 images/s
[07/27 05:50:08] ppdet.engine INFO: Epoch: [68] [ 80/732] learning_rate: 0.173730 loss_vfl: 1.383032 loss_bbox: 0.778630 loss_dfl: 0.528910 loss: 2.698028 eta: 2 days, 5:17:34 batch_cost: 1.0810 data_cost: 0.0037 ips: 37.0024 images/s
[07/27 05:50:36] ppdet.engine INFO: Epoch: [68] [100/732] learning_rate: 0.173709 loss_vfl: 1.349706 loss_bbox: 0.776452 loss_dfl: 0.542060 loss: 2.686363 eta: 2 days, 5:17:16 batch_cost: 1.2012 data_cost: 0.0078 ips: 33.2991 images/s
[07/27 05:51:04] ppdet.engine INFO: Epoch: [68] [120/732] learning_rate: 0.173688 loss_vfl: 1.354478 loss_bbox: 0.774150 loss_dfl: 0.531403 loss: 2.670905 eta: 2 days, 5:16:55 batch_cost: 1.1441 data_cost: 0.0069 ips: 34.9611 images/s
[07/27 05:51:30] ppdet.engine INFO: Epoch: [68] [140/732] learning_rate: 0.173668 loss_vfl: 1.342494 loss_bbox: 0.742215 loss_dfl: 0.513861 loss: 2.594092 eta: 2 days, 5:16:25 batch_cost: 1.0312 data_cost: 0.0096 ips: 38.7888 images/s
[07/27 05:51:56] ppdet.engine INFO: Epoch: [68] [160/732] learning_rate: 0.173647 loss_vfl: 1.333210 loss_bbox: 0.762787 loss_dfl: 0.519653 loss: 2.573494 eta: 2 days, 5:15:59 batch_cost: 1.0687 data_cost: 0.0059 ips: 37.4276 images/s
[07/27 05:52:23] ppdet.engine INFO: Epoch: [68] [180/732] learning_rate: 0.173626 loss_vfl: 1.300289 loss_bbox: 0.762820 loss_dfl: 0.524072 loss: 2.602369 eta: 2 days, 5:15:37 batch_cost: 1.1489 data_cost: 0.0148 ips: 34.8147 images/s
[07/27 05:52:51] ppdet.engine INFO: Epoch: [68] [200/732] learning_rate: 0.173606 loss_vfl: 1.313826 loss_bbox: 0.731314 loss_dfl: 0.512642 loss: 2.563405 eta: 2 days, 5:15:21 batch_cost: 1.2248 data_cost: 0.0050 ips: 32.6592 images/s
[07/27 05:53:18] ppdet.engine INFO: Epoch: [68] [220/732] learning_rate: 0.173585 loss_vfl: 1.311481 loss_bbox: 0.747279 loss_dfl: 0.514582 loss: 2.576166 eta: 2 days, 5:14:56 batch_cost: 1.0943 data_cost: 0.0066 ips: 36.5524 images/s
[07/27 05:53:45] ppdet.engine INFO: Epoch: [68] [240/732] learning_rate: 0.173564 loss_vfl: 1.311394 loss_bbox: 0.752767 loss_dfl: 0.515214 loss: 2.575665 eta: 2 days, 5:14:29 batch_cost: 1.0644 data_cost: 0.0070 ips: 37.5800 images/s
[07/27 05:54:12] ppdet.engine INFO: Epoch: [68] [260/732] learning_rate: 0.173544 loss_vfl: 1.350083 loss_bbox: 0.776821 loss_dfl: 0.535420 loss: 2.694939 eta: 2 days, 5:14:05 batch_cost: 1.1151 data_cost: 0.0106 ips: 35.8710 images/s
[07/27 05:54:38] ppdet.engine INFO: Epoch: [68] [280/732] learning_rate: 0.173523 loss_vfl: 1.399019 loss_bbox: 0.783006 loss_dfl: 0.540926 loss: 2.691262 eta: 2 days, 5:13:39 batch_cost: 1.0718 data_cost: 0.0046 ips: 37.3192 images/s
[07/27 05:55:04] ppdet.engine INFO: Epoch: [68] [300/732] learning_rate: 0.173502 loss_vfl: 1.335332 loss_bbox: 0.760704 loss_dfl: 0.527801 loss: 2.630542 eta: 2 days, 5:13:13 batch_cost: 1.0813 data_cost: 0.0085 ips: 36.9910 images/s
[07/27 05:55:32] ppdet.engine INFO: Epoch: [68] [320/732] learning_rate: 0.173482 loss_vfl: 1.367009 loss_bbox: 0.740889 loss_dfl: 0.517926 loss: 2.616606 eta: 2 days, 5:12:56 batch_cost: 1.2223 data_cost: 0.0026 ips: 32.7243 images/s
[07/27 05:56:01] ppdet.engine INFO: Epoch: [68] [340/732] learning_rate: 0.173461 loss_vfl: 1.314381 loss_bbox: 0.765891 loss_dfl: 0.529984 loss: 2.617298 eta: 2 days, 5:12:41 batch_cost: 1.2414 data_cost: 0.0044 ips: 32.2208 images/s
[07/27 05:56:29] ppdet.engine INFO: Epoch: [68] [360/732] learning_rate: 0.173440 loss_vfl: 1.329230 loss_bbox: 0.774930 loss_dfl: 0.533505 loss: 2.589630 eta: 2 days, 5:12:27 batch_cost: 1.2511 data_cost: 0.0068 ips: 31.9719 images/s
[07/27 05:56:55] ppdet.engine INFO: Epoch: [68] [380/732] learning_rate: 0.173419 loss_vfl: 1.343671 loss_bbox: 0.765006 loss_dfl: 0.528946 loss: 2.648969 eta: 2 days, 5:12:06 batch_cost: 1.1533 data_cost: 0.0052 ips: 34.6838 images/s
[07/27 05:57:24] ppdet.engine INFO: Epoch: [68] [400/732] learning_rate: 0.173399 loss_vfl: 1.359477 loss_bbox: 0.765334 loss_dfl: 0.531395 loss: 2.690539 eta: 2 days, 5:11:51 batch_cost: 1.2483 data_cost: 0.0062 ips: 32.0431 images/s
[07/27 05:57:50] ppdet.engine INFO: Epoch: [68] [420/732] learning_rate: 0.173378 loss_vfl: 1.336633 loss_bbox: 0.769300 loss_dfl: 0.526120 loss: 2.649323 eta: 2 days, 5:11:28 batch_cost: 1.1245 data_cost: 0.0037 ips: 35.5709 images/s
[07/27 05:58:17] ppdet.engine INFO: Epoch: [68] [440/732] learning_rate: 0.173357 loss_vfl: 1.290617 loss_bbox: 0.746110 loss_dfl: 0.516798 loss: 2.560255 eta: 2 days, 5:11:07 batch_cost: 1.1498 data_cost: 0.0054 ips: 34.7899 images/s
[07/27 05:58:43] ppdet.engine INFO: Epoch: [68] [460/732] learning_rate: 0.173337 loss_vfl: 1.296933 loss_bbox: 0.757654 loss_dfl: 0.515376 loss: 2.564532 eta: 2 days, 5:10:45 batch_cost: 1.1345 data_cost: 0.0050 ips: 35.2580 images/s
[07/27 05:59:10] ppdet.engine INFO: Epoch: [68] [480/732] learning_rate: 0.173316 loss_vfl: 1.350030 loss_bbox: 0.732064 loss_dfl: 0.509892 loss: 2.592959 eta: 2 days, 5:10:23 batch_cost: 1.1490 data_cost: 0.0063 ips: 34.8142 images/s
[07/27 05:59:37] ppdet.engine INFO: Epoch: [68] [500/732] learning_rate: 0.173295 loss_vfl: 1.370287 loss_bbox: 0.771195 loss_dfl: 0.532114 loss: 2.652813 eta: 2 days, 5:10:02 batch_cost: 1.1563 data_cost: 0.0034 ips: 34.5925 images/s
[07/27 06:00:04] ppdet.engine INFO: Epoch: [68] [520/732] learning_rate: 0.173274 loss_vfl: 1.372587 loss_bbox: 0.797248 loss_dfl: 0.543507 loss: 2.698467 eta: 2 days, 5:09:39 batch_cost: 1.1182 data_cost: 0.0104 ips: 35.7716 images/s
[07/27 06:00:31] ppdet.engine INFO: Epoch: [68] [540/732] learning_rate: 0.173254 loss_vfl: 1.294597 loss_bbox: 0.734586 loss_dfl: 0.504190 loss: 2.537089 eta: 2 days, 5:09:19 batch_cost: 1.1714 data_cost: 0.0086 ips: 34.1461 images/s
[07/27 06:00:58] ppdet.engine INFO: Epoch: [68] [560/732] learning_rate: 0.173233 loss_vfl: 1.301723 loss_bbox: 0.740692 loss_dfl: 0.502768 loss: 2.526225 eta: 2 days, 5:08:56 batch_cost: 1.1277 data_cost: 0.0084 ips: 35.4700 images/s
[07/27 06:01:26] ppdet.engine INFO: Epoch: [68] [580/732] learning_rate: 0.173212 loss_vfl: 1.370447 loss_bbox: 0.775115 loss_dfl: 0.540442 loss: 2.658446 eta: 2 days, 5:08:37 batch_cost: 1.1738 data_cost: 0.0032 ips: 34.0772 images/s
[07/27 06:01:52] ppdet.engine INFO: Epoch: [68] [600/732] learning_rate: 0.173191 loss_vfl: 1.331634 loss_bbox: 0.753240 loss_dfl: 0.522396 loss: 2.611709 eta: 2 days, 5:08:10 batch_cost: 1.0757 data_cost: 0.0046 ips: 37.1839 images/s
[07/27 06:02:20] ppdet.engine INFO: Epoch: [68] [620/732] learning_rate: 0.173170 loss_vfl: 1.365957 loss_bbox: 0.788861 loss_dfl: 0.537446 loss: 2.693572 eta: 2 days, 5:07:51 batch_cost: 1.1735 data_cost: 0.0060 ips: 34.0861 images/s
[07/27 06:02:49] ppdet.engine INFO: Epoch: [68] [640/732] learning_rate: 0.173150 loss_vfl: 1.405085 loss_bbox: 0.806100 loss_dfl: 0.552494 loss: 2.776129 eta: 2 days, 5:07:39 batch_cost: 1.2965 data_cost: 0.0091 ips: 30.8513 images/s
[07/27 06:03:16] ppdet.engine INFO: Epoch: [68] [660/732] learning_rate: 0.173129 loss_vfl: 1.380692 loss_bbox: 0.789597 loss_dfl: 0.544172 loss: 2.715990 eta: 2 days, 5:07:16 batch_cost: 1.1222 data_cost: 0.0143 ips: 35.6433 images/s
[07/27 06:03:43] ppdet.engine INFO: Epoch: [68] [680/732] learning_rate: 0.173108 loss_vfl: 1.372496 loss_bbox: 0.784746 loss_dfl: 0.545038 loss: 2.719980 eta: 2 days, 5:06:51 batch_cost: 1.0907 data_cost: 0.0056 ips: 36.6744 images/s
[07/27 06:04:09] ppdet.engine INFO: Epoch: [68] [700/732] learning_rate: 0.173087 loss_vfl: 1.341676 loss_bbox: 0.777784 loss_dfl: 0.534514 loss: 2.660233 eta: 2 days, 5:06:24 batch_cost: 1.0745 data_cost: 0.0047 ips: 37.2264 images/s
[07/27 06:04:35] ppdet.engine INFO: Epoch: [68] [720/732] learning_rate: 0.173066 loss_vfl: 1.292767 loss_bbox: 0.728925 loss_dfl: 0.513752 loss: 2.529793 eta: 2 days, 5:06:02 batch_cost: 1.1285 data_cost: 0.0026 ips: 35.4453 images/s
[07/27 06:04:58] ppdet.engine INFO: Epoch: [69] [  0/732] learning_rate: 0.173054 loss_vfl: 1.286568 loss_bbox: 0.752179 loss_dfl: 0.512610 loss: 2.546883 eta: 2 days, 5:06:10 batch_cost: 1.4771 data_cost: 0.5918 ips: 27.0802 images/s
[07/27 06:05:28] ppdet.engine INFO: Epoch: [69] [ 20/732] learning_rate: 0.173033 loss_vfl: 1.382369 loss_bbox: 0.779977 loss_dfl: 0.540353 loss: 2.724917 eta: 2 days, 5:05:53 batch_cost: 1.2106 data_cost: 0.0033 ips: 33.0419 images/s
[07/27 06:05:55] ppdet.engine INFO: Epoch: [69] [ 40/732] learning_rate: 0.173012 loss_vfl: 1.361318 loss_bbox: 0.777219 loss_dfl: 0.531214 loss: 2.681382 eta: 2 days, 5:05:26 batch_cost: 1.0618 data_cost: 0.0044 ips: 37.6735 images/s
[07/27 06:06:24] ppdet.engine INFO: Epoch: [69] [ 60/732] learning_rate: 0.172991 loss_vfl: 1.351903 loss_bbox: 0.791552 loss_dfl: 0.535504 loss: 2.671492 eta: 2 days, 5:05:05 batch_cost: 1.1598 data_cost: 0.0026 ips: 34.4889 images/s
[07/27 06:06:51] ppdet.engine INFO: Epoch: [69] [ 80/732] learning_rate: 0.172970 loss_vfl: 1.396543 loss_bbox: 0.805852 loss_dfl: 0.550177 loss: 2.752573 eta: 2 days, 5:04:45 batch_cost: 1.1732 data_cost: 0.0082 ips: 34.0944 images/s
[07/27 06:07:16] ppdet.engine INFO: Epoch: [69] [100/732] learning_rate: 0.172950 loss_vfl: 1.300519 loss_bbox: 0.743121 loss_dfl: 0.510965 loss: 2.550341 eta: 2 days, 5:04:21 batch_cost: 1.0971 data_cost: 0.0019 ips: 36.4608 images/s
[07/27 06:07:44] ppdet.engine INFO: Epoch: [69] [120/732] learning_rate: 0.172929 loss_vfl: 1.312945 loss_bbox: 0.748545 loss_dfl: 0.513440 loss: 2.576351 eta: 2 days, 5:04:02 batch_cost: 1.1886 data_cost: 0.0084 ips: 33.6538 images/s
[07/27 06:08:10] ppdet.engine INFO: Epoch: [69] [140/732] learning_rate: 0.172908 loss_vfl: 1.342675 loss_bbox: 0.733646 loss_dfl: 0.509495 loss: 2.579608 eta: 2 days, 5:03:39 batch_cost: 1.1274 data_cost: 0.0027 ips: 35.4787 images/s
[07/27 06:08:37] ppdet.engine INFO: Epoch: [69] [160/732] learning_rate: 0.172887 loss_vfl: 1.400090 loss_bbox: 0.788341 loss_dfl: 0.540319 loss: 2.702296 eta: 2 days, 5:03:11 batch_cost: 1.0481 data_cost: 0.0065 ips: 38.1652 images/s
[07/27 06:09:04] ppdet.engine INFO: Epoch: [69] [180/732] learning_rate: 0.172866 loss_vfl: 1.344224 loss_bbox: 0.777074 loss_dfl: 0.540453 loss: 2.646434 eta: 2 days, 5:02:45 batch_cost: 1.0746 data_cost: 0.0060 ips: 37.2218 images/s
[07/27 06:09:34] ppdet.engine INFO: Epoch: [69] [200/732] learning_rate: 0.172845 loss_vfl: 1.321317 loss_bbox: 0.770000 loss_dfl: 0.523888 loss: 2.615993 eta: 2 days, 5:02:33 batch_cost: 1.2948 data_cost: 0.0176 ips: 30.8927 images/s
[07/27 06:10:00] ppdet.engine INFO: Epoch: [69] [220/732] learning_rate: 0.172824 loss_vfl: 1.370511 loss_bbox: 0.762607 loss_dfl: 0.520302 loss: 2.630582 eta: 2 days, 5:02:07 batch_cost: 1.0836 data_cost: 0.0112 ips: 36.9146 images/s
[07/27 06:10:27] ppdet.engine INFO: Epoch: [69] [240/732] learning_rate: 0.172803 loss_vfl: 1.355450 loss_bbox: 0.784317 loss_dfl: 0.537491 loss: 2.685926 eta: 2 days, 5:01:39 batch_cost: 1.0496 data_cost: 0.0070 ips: 38.1107 images/s
[07/27 06:10:53] ppdet.engine INFO: Epoch: [69] [260/732] learning_rate: 0.172782 loss_vfl: 1.383550 loss_bbox: 0.790030 loss_dfl: 0.542637 loss: 2.709139 eta: 2 days, 5:01:16 batch_cost: 1.1232 data_cost: 0.0079 ips: 35.6131 images/s
[07/27 06:11:21] ppdet.engine INFO: Epoch: [69] [280/732] learning_rate: 0.172761 loss_vfl: 1.380395 loss_bbox: 0.789040 loss_dfl: 0.551964 loss: 2.730481 eta: 2 days, 5:00:55 batch_cost: 1.1551 data_cost: 0.0044 ips: 34.6299 images/s
[07/27 06:11:47] ppdet.engine INFO: Epoch: [69] [300/732] learning_rate: 0.172741 loss_vfl: 1.304957 loss_bbox: 0.749708 loss_dfl: 0.512108 loss: 2.566773 eta: 2 days, 5:00:28 batch_cost: 1.0676 data_cost: 0.0138 ips: 37.4657 images/s
[07/27 06:12:15] ppdet.engine INFO: Epoch: [69] [320/732] learning_rate: 0.172720 loss_vfl: 1.360101 loss_bbox: 0.741801 loss_dfl: 0.526719 loss: 2.623422 eta: 2 days, 5:00:10 batch_cost: 1.1932 data_cost: 0.0035 ips: 33.5221 images/s
[07/27 06:12:42] ppdet.engine INFO: Epoch: [69] [340/732] learning_rate: 0.172699 loss_vfl: 1.340796 loss_bbox: 0.746211 loss_dfl: 0.517694 loss: 2.595703 eta: 2 days, 4:59:52 batch_cost: 1.1960 data_cost: 0.0037 ips: 33.4444 images/s
[07/27 06:13:09] ppdet.engine INFO: Epoch: [69] [360/732] learning_rate: 0.172678 loss_vfl: 1.372839 loss_bbox: 0.789174 loss_dfl: 0.547720 loss: 2.728630 eta: 2 days, 4:59:24 batch_cost: 1.0536 data_cost: 0.0054 ips: 37.9634 images/s
[07/27 06:13:35] ppdet.engine INFO: Epoch: [69] [380/732] learning_rate: 0.172657 loss_vfl: 1.381044 loss_bbox: 0.797315 loss_dfl: 0.553651 loss: 2.734964 eta: 2 days, 4:59:02 batch_cost: 1.1489 data_cost: 0.0037 ips: 34.8161 images/s
[07/27 06:14:01] ppdet.engine INFO: Epoch: [69] [400/732] learning_rate: 0.172636 loss_vfl: 1.321664 loss_bbox: 0.756538 loss_dfl: 0.519920 loss: 2.585529 eta: 2 days, 4:58:31 batch_cost: 0.9935 data_cost: 0.0113 ips: 40.2634 images/s
[07/27 06:14:30] ppdet.engine INFO: Epoch: [69] [420/732] learning_rate: 0.172615 loss_vfl: 1.321859 loss_bbox: 0.741236 loss_dfl: 0.519812 loss: 2.615405 eta: 2 days, 4:58:13 batch_cost: 1.2001 data_cost: 0.0017 ips: 33.3316 images/s
[07/27 06:14:58] ppdet.engine INFO: Epoch: [69] [440/732] learning_rate: 0.172594 loss_vfl: 1.290733 loss_bbox: 0.726834 loss_dfl: 0.506559 loss: 2.530061 eta: 2 days, 4:57:53 batch_cost: 1.1737 data_cost: 0.0090 ips: 34.0797 images/s
[07/27 06:15:24] ppdet.engine INFO: Epoch: [69] [460/732] learning_rate: 0.172573 loss_vfl: 1.292050 loss_bbox: 0.720519 loss_dfl: 0.493315 loss: 2.485354 eta: 2 days, 4:57:27 batch_cost: 1.0873 data_cost: 0.0015 ips: 36.7869 images/s
[07/27 06:15:51] ppdet.engine INFO: Epoch: [69] [480/732] learning_rate: 0.172552 loss_vfl: 1.357013 loss_bbox: 0.773164 loss_dfl: 0.536832 loss: 2.665933 eta: 2 days, 4:57:07 batch_cost: 1.1569 data_cost: 0.0117 ips: 34.5758 images/s
[07/27 06:16:20] ppdet.engine INFO: Epoch: [69] [500/732] learning_rate: 0.172531 loss_vfl: 1.416972 loss_bbox: 0.808296 loss_dfl: 0.562122 loss: 2.787892 eta: 2 days, 4:56:51 batch_cost: 1.2342 data_cost: 0.0024 ips: 32.4085 images/s
[07/27 06:16:46] ppdet.engine INFO: Epoch: [69] [520/732] learning_rate: 0.172510 loss_vfl: 1.274582 loss_bbox: 0.711116 loss_dfl: 0.500781 loss: 2.488569 eta: 2 days, 4:56:29 batch_cost: 1.1417 data_cost: 0.0039 ips: 35.0365 images/s
[07/27 06:17:11] ppdet.engine INFO: Epoch: [69] [540/732] learning_rate: 0.172489 loss_vfl: 1.333247 loss_bbox: 0.783990 loss_dfl: 0.538950 loss: 2.691034 eta: 2 days, 4:56:02 batch_cost: 1.0655 data_cost: 0.0073 ips: 37.5414 images/s
[07/27 06:17:39] ppdet.engine INFO: Epoch: [69] [560/732] learning_rate: 0.172468 loss_vfl: 1.337204 loss_bbox: 0.750854 loss_dfl: 0.528021 loss: 2.634351 eta: 2 days, 4:55:45 batch_cost: 1.2185 data_cost: 0.0054 ips: 32.8283 images/s
[07/27 06:18:06] ppdet.engine INFO: Epoch: [69] [580/732] learning_rate: 0.172447 loss_vfl: 1.352121 loss_bbox: 0.765954 loss_dfl: 0.526978 loss: 2.627523 eta: 2 days, 4:55:26 batch_cost: 1.1759 data_cost: 0.0078 ips: 34.0173 images/s
[07/27 06:18:32] ppdet.engine INFO: Epoch: [69] [600/732] learning_rate: 0.172426 loss_vfl: 1.252450 loss_bbox: 0.732577 loss_dfl: 0.505760 loss: 2.501332 eta: 2 days, 4:55:05 batch_cost: 1.1604 data_cost: 0.0043 ips: 34.4714 images/s
[07/27 06:18:58] ppdet.engine INFO: Epoch: [69] [620/732] learning_rate: 0.172405 loss_vfl: 1.330817 loss_bbox: 0.754874 loss_dfl: 0.517867 loss: 2.578220 eta: 2 days, 4:54:36 batch_cost: 1.0370 data_cost: 0.0214 ips: 38.5723 images/s
[07/27 06:19:25] ppdet.engine INFO: Epoch: [69] [640/732] learning_rate: 0.172384 loss_vfl: 1.293975 loss_bbox: 0.743165 loss_dfl: 0.518792 loss: 2.551944 eta: 2 days, 4:54:15 batch_cost: 1.1534 data_cost: 0.0055 ips: 34.6811 images/s
[07/27 06:19:51] ppdet.engine INFO: Epoch: [69] [660/732] learning_rate: 0.172363 loss_vfl: 1.371183 loss_bbox: 0.785236 loss_dfl: 0.544815 loss: 2.710240 eta: 2 days, 4:53:49 batch_cost: 1.0768 data_cost: 0.0052 ips: 37.1460 images/s
[07/27 06:20:19] ppdet.engine INFO: Epoch: [69] [680/732] learning_rate: 0.172342 loss_vfl: 1.333692 loss_bbox: 0.763443 loss_dfl: 0.527857 loss: 2.639514 eta: 2 days, 4:53:34 batch_cost: 1.2533 data_cost: 0.0042 ips: 31.9149 images/s
[07/27 06:20:46] ppdet.engine INFO: Epoch: [69] [700/732] learning_rate: 0.172321 loss_vfl: 1.379556 loss_bbox: 0.775027 loss_dfl: 0.539331 loss: 2.696297 eta: 2 days, 4:53:14 batch_cost: 1.1699 data_cost: 0.0023 ips: 34.1897 images/s
[07/27 06:21:14] ppdet.engine INFO: Epoch: [69] [720/732] learning_rate: 0.172299 loss_vfl: 1.341729 loss_bbox: 0.747354 loss_dfl: 0.515112 loss: 2.582328 eta: 2 days, 4:52:58 batch_cost: 1.2263 data_cost: 0.0038 ips: 32.6185 images/s
[07/27 06:21:26] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 06:21:27] ppdet.engine INFO: Eval iter: 0
[07/27 06:21:48] ppdet.engine INFO: Eval iter: 100
[07/27 06:21:59] ppdet.engine INFO: Eval iter: 200
[07/27 06:22:11] ppdet.engine INFO: Eval iter: 300
[07/27 06:22:22] ppdet.engine INFO: Eval iter: 400
[07/27 06:22:34] ppdet.engine INFO: Eval iter: 500
[07/27 06:22:46] ppdet.engine INFO: Eval iter: 600
[07/27 06:23:02] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.94s)
creating index...
index created!
[07/27 06:23:03] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.77s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.17s).
Accumulating evaluation results...
DONE (t=19.25s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.220
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.344
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.233
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.088
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.231
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.336
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.235
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.384
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.407
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.162
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.448
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.611
[07/27 06:25:10] ppdet.engine INFO: Total sample number: 4952, averge FPS: 60.17132696738403
[07/27 06:25:10] ppdet.engine INFO: Best test bbox ap is 0.220.
[07/27 06:25:10] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 06:25:11] ppdet.engine INFO: Epoch: [70] [  0/732] learning_rate: 0.172287 loss_vfl: 1.425944 loss_bbox: 0.793994 loss_dfl: 0.556883 loss: 2.769933 eta: 2 days, 4:52:27 batch_cost: 0.8669 data_cost: 0.0025 ips: 46.1427 images/s
[07/27 06:25:37] ppdet.engine INFO: Epoch: [70] [ 20/732] learning_rate: 0.172266 loss_vfl: 1.297542 loss_bbox: 0.770106 loss_dfl: 0.519692 loss: 2.563904 eta: 2 days, 4:52:02 batch_cost: 1.0992 data_cost: 0.0035 ips: 36.3893 images/s
[07/27 06:26:04] ppdet.engine INFO: Epoch: [70] [ 40/732] learning_rate: 0.172245 loss_vfl: 1.366535 loss_bbox: 0.767495 loss_dfl: 0.526527 loss: 2.669180 eta: 2 days, 4:51:44 batch_cost: 1.1965 data_cost: 0.0067 ips: 33.4313 images/s
[07/27 06:26:32] ppdet.engine INFO: Epoch: [70] [ 60/732] learning_rate: 0.172224 loss_vfl: 1.330149 loss_bbox: 0.738407 loss_dfl: 0.516269 loss: 2.583324 eta: 2 days, 4:51:26 batch_cost: 1.1944 data_cost: 0.0040 ips: 33.4883 images/s
[07/27 06:26:58] ppdet.engine INFO: Epoch: [70] [ 80/732] learning_rate: 0.172202 loss_vfl: 1.327528 loss_bbox: 0.742775 loss_dfl: 0.515029 loss: 2.571746 eta: 2 days, 4:51:05 batch_cost: 1.1596 data_cost: 0.0040 ips: 34.4952 images/s
[07/27 06:27:25] ppdet.engine INFO: Epoch: [70] [100/732] learning_rate: 0.172181 loss_vfl: 1.410691 loss_bbox: 0.803366 loss_dfl: 0.557952 loss: 2.749316 eta: 2 days, 4:50:47 batch_cost: 1.2081 data_cost: 0.0042 ips: 33.1107 images/s
[07/27 06:27:52] ppdet.engine INFO: Epoch: [70] [120/732] learning_rate: 0.172160 loss_vfl: 1.414105 loss_bbox: 0.826441 loss_dfl: 0.570306 loss: 2.824577 eta: 2 days, 4:50:30 batch_cost: 1.2133 data_cost: 0.0074 ips: 32.9689 images/s
[07/27 06:28:20] ppdet.engine INFO: Epoch: [70] [140/732] learning_rate: 0.172139 loss_vfl: 1.422412 loss_bbox: 0.784098 loss_dfl: 0.560389 loss: 2.802298 eta: 2 days, 4:50:14 batch_cost: 1.2328 data_cost: 0.0047 ips: 32.4470 images/s
[07/27 06:28:47] ppdet.engine INFO: Epoch: [70] [160/732] learning_rate: 0.172118 loss_vfl: 1.345470 loss_bbox: 0.742023 loss_dfl: 0.517175 loss: 2.619202 eta: 2 days, 4:49:51 batch_cost: 1.1237 data_cost: 0.0051 ips: 35.5956 images/s
[07/27 06:29:13] ppdet.engine INFO: Epoch: [70] [180/732] learning_rate: 0.172097 loss_vfl: 1.338327 loss_bbox: 0.780458 loss_dfl: 0.541142 loss: 2.669686 eta: 2 days, 4:49:27 batch_cost: 1.1150 data_cost: 0.0070 ips: 35.8758 images/s
[07/27 06:29:39] ppdet.engine INFO: Epoch: [70] [200/732] learning_rate: 0.172076 loss_vfl: 1.298037 loss_bbox: 0.749291 loss_dfl: 0.512108 loss: 2.595637 eta: 2 days, 4:49:02 batch_cost: 1.0931 data_cost: 0.0111 ips: 36.5929 images/s
[07/27 06:30:06] ppdet.engine INFO: Epoch: [70] [220/732] learning_rate: 0.172055 loss_vfl: 1.354034 loss_bbox: 0.795748 loss_dfl: 0.541647 loss: 2.653563 eta: 2 days, 4:48:41 batch_cost: 1.1485 data_cost: 0.0063 ips: 34.8277 images/s
[07/27 06:30:34] ppdet.engine INFO: Epoch: [70] [240/732] learning_rate: 0.172033 loss_vfl: 1.344241 loss_bbox: 0.769297 loss_dfl: 0.531209 loss: 2.644084 eta: 2 days, 4:48:21 batch_cost: 1.1704 data_cost: 0.0069 ips: 34.1753 images/s
[07/27 06:31:00] ppdet.engine INFO: Epoch: [70] [260/732] learning_rate: 0.172012 loss_vfl: 1.269826 loss_bbox: 0.740016 loss_dfl: 0.511038 loss: 2.530679 eta: 2 days, 4:47:55 batch_cost: 1.0779 data_cost: 0.0112 ips: 37.1107 images/s
[07/27 06:31:27] ppdet.engine INFO: Epoch: [70] [280/732] learning_rate: 0.171991 loss_vfl: 1.287344 loss_bbox: 0.758150 loss_dfl: 0.513662 loss: 2.565475 eta: 2 days, 4:47:32 batch_cost: 1.1221 data_cost: 0.0038 ips: 35.6481 images/s
[07/27 06:31:54] ppdet.engine INFO: Epoch: [70] [300/732] learning_rate: 0.171970 loss_vfl: 1.304889 loss_bbox: 0.755793 loss_dfl: 0.511364 loss: 2.562848 eta: 2 days, 4:47:10 batch_cost: 1.1387 data_cost: 0.0033 ips: 35.1288 images/s
[07/27 06:32:22] ppdet.engine INFO: Epoch: [70] [320/732] learning_rate: 0.171949 loss_vfl: 1.372993 loss_bbox: 0.774750 loss_dfl: 0.532757 loss: 2.680500 eta: 2 days, 4:46:49 batch_cost: 1.1694 data_cost: 0.0079 ips: 34.2056 images/s
[07/27 06:32:48] ppdet.engine INFO: Epoch: [70] [340/732] learning_rate: 0.171928 loss_vfl: 1.306455 loss_bbox: 0.793247 loss_dfl: 0.544670 loss: 2.665194 eta: 2 days, 4:46:23 batch_cost: 1.0734 data_cost: 0.0031 ips: 37.2631 images/s
[07/27 06:33:14] ppdet.engine INFO: Epoch: [70] [360/732] learning_rate: 0.171906 loss_vfl: 1.364730 loss_bbox: 0.788223 loss_dfl: 0.544358 loss: 2.725785 eta: 2 days, 4:45:58 batch_cost: 1.0961 data_cost: 0.0038 ips: 36.4931 images/s
[07/27 06:33:41] ppdet.engine INFO: Epoch: [70] [380/732] learning_rate: 0.171885 loss_vfl: 1.296023 loss_bbox: 0.761780 loss_dfl: 0.525464 loss: 2.593043 eta: 2 days, 4:45:33 batch_cost: 1.0943 data_cost: 0.0141 ips: 36.5514 images/s
[07/27 06:34:07] ppdet.engine INFO: Epoch: [70] [400/732] learning_rate: 0.171864 loss_vfl: 1.361834 loss_bbox: 0.788736 loss_dfl: 0.541379 loss: 2.712068 eta: 2 days, 4:45:09 batch_cost: 1.1088 data_cost: 0.0103 ips: 36.0756 images/s
[07/27 06:34:33] ppdet.engine INFO: Epoch: [70] [420/732] learning_rate: 0.171843 loss_vfl: 1.358433 loss_bbox: 0.774746 loss_dfl: 0.534186 loss: 2.656253 eta: 2 days, 4:44:43 batch_cost: 1.0757 data_cost: 0.0030 ips: 37.1840 images/s
[07/27 06:35:01] ppdet.engine INFO: Epoch: [70] [440/732] learning_rate: 0.171821 loss_vfl: 1.331241 loss_bbox: 0.758549 loss_dfl: 0.528154 loss: 2.637196 eta: 2 days, 4:44:22 batch_cost: 1.1494 data_cost: 0.0032 ips: 34.8014 images/s
[07/27 06:35:29] ppdet.engine INFO: Epoch: [70] [460/732] learning_rate: 0.171800 loss_vfl: 1.370731 loss_bbox: 0.797543 loss_dfl: 0.556898 loss: 2.738922 eta: 2 days, 4:44:00 batch_cost: 1.1398 data_cost: 0.0042 ips: 35.0951 images/s
[07/27 06:35:56] ppdet.engine INFO: Epoch: [70] [480/732] learning_rate: 0.171779 loss_vfl: 1.394623 loss_bbox: 0.768684 loss_dfl: 0.540533 loss: 2.716810 eta: 2 days, 4:43:38 batch_cost: 1.1518 data_cost: 0.0059 ips: 34.7283 images/s
[07/27 06:36:22] ppdet.engine INFO: Epoch: [70] [500/732] learning_rate: 0.171758 loss_vfl: 1.341369 loss_bbox: 0.769376 loss_dfl: 0.532051 loss: 2.641282 eta: 2 days, 4:43:14 batch_cost: 1.1009 data_cost: 0.0042 ips: 36.3334 images/s
[07/27 06:36:49] ppdet.engine INFO: Epoch: [70] [520/732] learning_rate: 0.171737 loss_vfl: 1.337173 loss_bbox: 0.745271 loss_dfl: 0.521562 loss: 2.616119 eta: 2 days, 4:42:51 batch_cost: 1.1299 data_cost: 0.0048 ips: 35.4029 images/s
[07/27 06:37:18] ppdet.engine INFO: Epoch: [70] [540/732] learning_rate: 0.171715 loss_vfl: 1.295728 loss_bbox: 0.690137 loss_dfl: 0.489102 loss: 2.448106 eta: 2 days, 4:42:34 batch_cost: 1.2074 data_cost: 0.0119 ips: 33.1304 images/s
[07/27 06:37:44] ppdet.engine INFO: Epoch: [70] [560/732] learning_rate: 0.171694 loss_vfl: 1.378023 loss_bbox: 0.777135 loss_dfl: 0.541355 loss: 2.693540 eta: 2 days, 4:42:08 batch_cost: 1.0793 data_cost: 0.0024 ips: 37.0605 images/s
[07/27 06:38:12] ppdet.engine INFO: Epoch: [70] [580/732] learning_rate: 0.171673 loss_vfl: 1.393050 loss_bbox: 0.758881 loss_dfl: 0.534297 loss: 2.685240 eta: 2 days, 4:41:47 batch_cost: 1.1544 data_cost: 0.0096 ips: 34.6487 images/s
[07/27 06:38:39] ppdet.engine INFO: Epoch: [70] [600/732] learning_rate: 0.171651 loss_vfl: 1.311260 loss_bbox: 0.778046 loss_dfl: 0.533297 loss: 2.620753 eta: 2 days, 4:41:22 batch_cost: 1.0944 data_cost: 0.0037 ips: 36.5497 images/s
[07/27 06:39:07] ppdet.engine INFO: Epoch: [70] [620/732] learning_rate: 0.171630 loss_vfl: 1.314587 loss_bbox: 0.726453 loss_dfl: 0.503072 loss: 2.537388 eta: 2 days, 4:41:02 batch_cost: 1.1731 data_cost: 0.0087 ips: 34.0980 images/s
[07/27 06:39:33] ppdet.engine INFO: Epoch: [70] [640/732] learning_rate: 0.171609 loss_vfl: 1.342182 loss_bbox: 0.770812 loss_dfl: 0.534978 loss: 2.659724 eta: 2 days, 4:40:39 batch_cost: 1.1362 data_cost: 0.0060 ips: 35.2043 images/s
[07/27 06:40:00] ppdet.engine INFO: Epoch: [70] [660/732] learning_rate: 0.171588 loss_vfl: 1.339478 loss_bbox: 0.765599 loss_dfl: 0.527665 loss: 2.647883 eta: 2 days, 4:40:17 batch_cost: 1.1307 data_cost: 0.0037 ips: 35.3765 images/s
[07/27 06:40:26] ppdet.engine INFO: Epoch: [70] [680/732] learning_rate: 0.171566 loss_vfl: 1.312548 loss_bbox: 0.737787 loss_dfl: 0.510649 loss: 2.567518 eta: 2 days, 4:39:47 batch_cost: 1.0194 data_cost: 0.0044 ips: 39.2374 images/s
[07/27 06:40:54] ppdet.engine INFO: Epoch: [70] [700/732] learning_rate: 0.171545 loss_vfl: 1.352329 loss_bbox: 0.806928 loss_dfl: 0.545163 loss: 2.695320 eta: 2 days, 4:39:25 batch_cost: 1.1370 data_cost: 0.0082 ips: 35.1796 images/s
[07/27 06:41:19] ppdet.engine INFO: Epoch: [70] [720/732] learning_rate: 0.171524 loss_vfl: 1.328934 loss_bbox: 0.767022 loss_dfl: 0.527205 loss: 2.631525 eta: 2 days, 4:38:55 batch_cost: 1.0135 data_cost: 0.0080 ips: 39.4662 images/s
[07/27 06:41:42] ppdet.engine INFO: Epoch: [71] [  0/732] learning_rate: 0.171511 loss_vfl: 1.283641 loss_bbox: 0.743418 loss_dfl: 0.513089 loss: 2.542458 eta: 2 days, 4:39:03 batch_cost: 1.4014 data_cost: 0.5318 ips: 28.5424 images/s
[07/27 06:42:11] ppdet.engine INFO: Epoch: [71] [ 20/732] learning_rate: 0.171490 loss_vfl: 1.348689 loss_bbox: 0.750887 loss_dfl: 0.531990 loss: 2.634927 eta: 2 days, 4:38:44 batch_cost: 1.2011 data_cost: 0.0042 ips: 33.3023 images/s
[07/27 06:42:39] ppdet.engine INFO: Epoch: [71] [ 40/732] learning_rate: 0.171468 loss_vfl: 1.372200 loss_bbox: 0.747687 loss_dfl: 0.516251 loss: 2.627525 eta: 2 days, 4:38:28 batch_cost: 1.2228 data_cost: 0.0025 ips: 32.7131 images/s
[07/27 06:43:06] ppdet.engine INFO: Epoch: [71] [ 60/732] learning_rate: 0.171447 loss_vfl: 1.289241 loss_bbox: 0.727965 loss_dfl: 0.504152 loss: 2.511897 eta: 2 days, 4:38:01 batch_cost: 1.0619 data_cost: 0.0038 ips: 37.6690 images/s
[07/27 06:43:32] ppdet.engine INFO: Epoch: [71] [ 80/732] learning_rate: 0.171426 loss_vfl: 1.318990 loss_bbox: 0.770546 loss_dfl: 0.533274 loss: 2.647062 eta: 2 days, 4:37:34 batch_cost: 1.0610 data_cost: 0.0057 ips: 37.6988 images/s
[07/27 06:44:00] ppdet.engine INFO: Epoch: [71] [100/732] learning_rate: 0.171404 loss_vfl: 1.354348 loss_bbox: 0.784642 loss_dfl: 0.541323 loss: 2.687908 eta: 2 days, 4:37:09 batch_cost: 1.0937 data_cost: 0.0184 ips: 36.5726 images/s
[07/27 06:44:27] ppdet.engine INFO: Epoch: [71] [120/732] learning_rate: 0.171383 loss_vfl: 1.315248 loss_bbox: 0.756444 loss_dfl: 0.518486 loss: 2.607427 eta: 2 days, 4:36:45 batch_cost: 1.1084 data_cost: 0.0049 ips: 36.0884 images/s
[07/27 06:44:54] ppdet.engine INFO: Epoch: [71] [140/732] learning_rate: 0.171362 loss_vfl: 1.378668 loss_bbox: 0.759594 loss_dfl: 0.535599 loss: 2.717804 eta: 2 days, 4:36:19 batch_cost: 1.0778 data_cost: 0.0065 ips: 37.1124 images/s
[07/27 06:45:22] ppdet.engine INFO: Epoch: [71] [160/732] learning_rate: 0.171340 loss_vfl: 1.300121 loss_bbox: 0.749299 loss_dfl: 0.514608 loss: 2.550208 eta: 2 days, 4:35:57 batch_cost: 1.1488 data_cost: 0.0065 ips: 34.8187 images/s
[07/27 06:45:49] ppdet.engine INFO: Epoch: [71] [180/732] learning_rate: 0.171319 loss_vfl: 1.315930 loss_bbox: 0.787810 loss_dfl: 0.532392 loss: 2.648840 eta: 2 days, 4:35:35 batch_cost: 1.1339 data_cost: 0.0052 ips: 35.2774 images/s
[07/27 06:46:16] ppdet.engine INFO: Epoch: [71] [200/732] learning_rate: 0.171297 loss_vfl: 1.294845 loss_bbox: 0.725612 loss_dfl: 0.510351 loss: 2.535944 eta: 2 days, 4:35:11 batch_cost: 1.1187 data_cost: 0.0052 ips: 35.7556 images/s
[07/27 06:46:42] ppdet.engine INFO: Epoch: [71] [220/732] learning_rate: 0.171276 loss_vfl: 1.320440 loss_bbox: 0.754910 loss_dfl: 0.519904 loss: 2.581676 eta: 2 days, 4:34:41 batch_cost: 1.0045 data_cost: 0.0048 ips: 39.8194 images/s
[07/27 06:47:07] ppdet.engine INFO: Epoch: [71] [240/732] learning_rate: 0.171255 loss_vfl: 1.350382 loss_bbox: 0.779706 loss_dfl: 0.537974 loss: 2.661253 eta: 2 days, 4:34:14 batch_cost: 1.0703 data_cost: 0.0133 ips: 37.3738 images/s
[07/27 06:47:34] ppdet.engine INFO: Epoch: [71] [260/732] learning_rate: 0.171233 loss_vfl: 1.244624 loss_bbox: 0.705833 loss_dfl: 0.494060 loss: 2.440338 eta: 2 days, 4:33:47 batch_cost: 1.0621 data_cost: 0.0044 ips: 37.6606 images/s
[07/27 06:48:01] ppdet.engine INFO: Epoch: [71] [280/732] learning_rate: 0.171212 loss_vfl: 1.358568 loss_bbox: 0.739017 loss_dfl: 0.516569 loss: 2.586773 eta: 2 days, 4:33:23 batch_cost: 1.1074 data_cost: 0.0050 ips: 36.1194 images/s
[07/27 06:48:27] ppdet.engine INFO: Epoch: [71] [300/732] learning_rate: 0.171190 loss_vfl: 1.328613 loss_bbox: 0.725740 loss_dfl: 0.516796 loss: 2.603016 eta: 2 days, 4:32:57 batch_cost: 1.0815 data_cost: 0.0077 ips: 36.9870 images/s
[07/27 06:48:53] ppdet.engine INFO: Epoch: [71] [320/732] learning_rate: 0.171169 loss_vfl: 1.363355 loss_bbox: 0.751645 loss_dfl: 0.529960 loss: 2.660632 eta: 2 days, 4:32:33 batch_cost: 1.1009 data_cost: 0.0102 ips: 36.3325 images/s
[07/27 06:49:19] ppdet.engine INFO: Epoch: [71] [340/732] learning_rate: 0.171148 loss_vfl: 1.358615 loss_bbox: 0.733554 loss_dfl: 0.507093 loss: 2.562920 eta: 2 days, 4:32:06 batch_cost: 1.0598 data_cost: 0.0034 ips: 37.7426 images/s
[07/27 06:49:44] ppdet.engine INFO: Epoch: [71] [360/732] learning_rate: 0.171126 loss_vfl: 1.368662 loss_bbox: 0.770752 loss_dfl: 0.526477 loss: 2.681449 eta: 2 days, 4:31:34 batch_cost: 0.9928 data_cost: 0.0070 ips: 40.2891 images/s
[07/27 06:50:10] ppdet.engine INFO: Epoch: [71] [380/732] learning_rate: 0.171105 loss_vfl: 1.310707 loss_bbox: 0.738359 loss_dfl: 0.513254 loss: 2.559194 eta: 2 days, 4:31:06 batch_cost: 1.0495 data_cost: 0.0058 ips: 38.1138 images/s
[07/27 06:50:35] ppdet.engine INFO: Epoch: [71] [400/732] learning_rate: 0.171083 loss_vfl: 1.300723 loss_bbox: 0.764986 loss_dfl: 0.518062 loss: 2.581532 eta: 2 days, 4:30:38 batch_cost: 1.0375 data_cost: 0.0016 ips: 38.5558 images/s
[07/27 06:51:03] ppdet.engine INFO: Epoch: [71] [420/732] learning_rate: 0.171062 loss_vfl: 1.360006 loss_bbox: 0.812378 loss_dfl: 0.552265 loss: 2.725519 eta: 2 days, 4:30:18 batch_cost: 1.1661 data_cost: 0.0027 ips: 34.3021 images/s
[07/27 06:51:29] ppdet.engine INFO: Epoch: [71] [440/732] learning_rate: 0.171040 loss_vfl: 1.339839 loss_bbox: 0.756334 loss_dfl: 0.529281 loss: 2.624883 eta: 2 days, 4:29:53 batch_cost: 1.1012 data_cost: 0.0057 ips: 36.3240 images/s
[07/27 06:51:55] ppdet.engine INFO: Epoch: [71] [460/732] learning_rate: 0.171019 loss_vfl: 1.344393 loss_bbox: 0.773064 loss_dfl: 0.525964 loss: 2.640769 eta: 2 days, 4:29:26 batch_cost: 1.0550 data_cost: 0.0079 ips: 37.9156 images/s
[07/27 06:52:22] ppdet.engine INFO: Epoch: [71] [480/732] learning_rate: 0.170997 loss_vfl: 1.308681 loss_bbox: 0.766841 loss_dfl: 0.520359 loss: 2.596725 eta: 2 days, 4:29:04 batch_cost: 1.1422 data_cost: 0.0055 ips: 35.0209 images/s
[07/27 06:52:48] ppdet.engine INFO: Epoch: [71] [500/732] learning_rate: 0.170976 loss_vfl: 1.368798 loss_bbox: 0.737424 loss_dfl: 0.514264 loss: 2.635244 eta: 2 days, 4:28:36 batch_cost: 1.0409 data_cost: 0.0040 ips: 38.4269 images/s
[07/27 06:53:14] ppdet.engine INFO: Epoch: [71] [520/732] learning_rate: 0.170954 loss_vfl: 1.328799 loss_bbox: 0.742696 loss_dfl: 0.520734 loss: 2.601452 eta: 2 days, 4:28:12 batch_cost: 1.1124 data_cost: 0.0091 ips: 35.9568 images/s
[07/27 06:53:42] ppdet.engine INFO: Epoch: [71] [540/732] learning_rate: 0.170933 loss_vfl: 1.372357 loss_bbox: 0.772390 loss_dfl: 0.528903 loss: 2.659373 eta: 2 days, 4:27:52 batch_cost: 1.1738 data_cost: 0.0086 ips: 34.0776 images/s
[07/27 06:54:07] ppdet.engine INFO: Epoch: [71] [560/732] learning_rate: 0.170911 loss_vfl: 1.345371 loss_bbox: 0.783896 loss_dfl: 0.540949 loss: 2.669300 eta: 2 days, 4:27:25 batch_cost: 1.0679 data_cost: 0.0051 ips: 37.4562 images/s
[07/27 06:54:32] ppdet.engine INFO: Epoch: [71] [580/732] learning_rate: 0.170890 loss_vfl: 1.379478 loss_bbox: 0.773183 loss_dfl: 0.540153 loss: 2.691547 eta: 2 days, 4:26:56 batch_cost: 1.0190 data_cost: 0.0054 ips: 39.2534 images/s
[07/27 06:54:59] ppdet.engine INFO: Epoch: [71] [600/732] learning_rate: 0.170868 loss_vfl: 1.262825 loss_bbox: 0.762585 loss_dfl: 0.518158 loss: 2.543719 eta: 2 days, 4:26:32 batch_cost: 1.1096 data_cost: 0.0048 ips: 36.0481 images/s
[07/27 06:55:26] ppdet.engine INFO: Epoch: [71] [620/732] learning_rate: 0.170847 loss_vfl: 1.364219 loss_bbox: 0.769528 loss_dfl: 0.542239 loss: 2.706103 eta: 2 days, 4:26:08 batch_cost: 1.1099 data_cost: 0.0015 ips: 36.0407 images/s
[07/27 06:55:53] ppdet.engine INFO: Epoch: [71] [640/732] learning_rate: 0.170825 loss_vfl: 1.295964 loss_bbox: 0.745890 loss_dfl: 0.509252 loss: 2.548208 eta: 2 days, 4:25:45 batch_cost: 1.1293 data_cost: 0.0028 ips: 35.4207 images/s
[07/27 06:56:20] ppdet.engine INFO: Epoch: [71] [660/732] learning_rate: 0.170804 loss_vfl: 1.297532 loss_bbox: 0.750885 loss_dfl: 0.520047 loss: 2.595921 eta: 2 days, 4:25:19 batch_cost: 1.0722 data_cost: 0.0068 ips: 37.3056 images/s
[07/27 06:56:48] ppdet.engine INFO: Epoch: [71] [680/732] learning_rate: 0.170782 loss_vfl: 1.309982 loss_bbox: 0.751612 loss_dfl: 0.519337 loss: 2.585017 eta: 2 days, 4:24:59 batch_cost: 1.1802 data_cost: 0.0037 ips: 33.8939 images/s
[07/27 06:57:14] ppdet.engine INFO: Epoch: [71] [700/732] learning_rate: 0.170761 loss_vfl: 1.351367 loss_bbox: 0.788086 loss_dfl: 0.542904 loss: 2.679446 eta: 2 days, 4:24:40 batch_cost: 1.1837 data_cost: 0.0161 ips: 33.7910 images/s
[07/27 06:57:40] ppdet.engine INFO: Epoch: [71] [720/732] learning_rate: 0.170739 loss_vfl: 1.343306 loss_bbox: 0.756251 loss_dfl: 0.534706 loss: 2.631529 eta: 2 days, 4:24:17 batch_cost: 1.1188 data_cost: 0.0087 ips: 35.7531 images/s
[07/27 06:58:00] ppdet.engine INFO: Epoch: [72] [  0/732] learning_rate: 0.170726 loss_vfl: 1.366684 loss_bbox: 0.795548 loss_dfl: 0.547246 loss: 2.699816 eta: 2 days, 4:24:14 batch_cost: 1.2873 data_cost: 0.3247 ips: 31.0740 images/s
[07/27 06:58:32] ppdet.engine INFO: Epoch: [72] [ 20/732] learning_rate: 0.170705 loss_vfl: 1.302808 loss_bbox: 0.747797 loss_dfl: 0.530881 loss: 2.643532 eta: 2 days, 4:24:04 batch_cost: 1.3197 data_cost: 0.1640 ips: 30.3101 images/s
[07/27 06:59:00] ppdet.engine INFO: Epoch: [72] [ 40/732] learning_rate: 0.170683 loss_vfl: 1.305737 loss_bbox: 0.750382 loss_dfl: 0.516825 loss: 2.563704 eta: 2 days, 4:23:46 batch_cost: 1.2135 data_cost: 0.0047 ips: 32.9636 images/s
[07/27 06:59:28] ppdet.engine INFO: Epoch: [72] [ 60/732] learning_rate: 0.170662 loss_vfl: 1.398442 loss_bbox: 0.775492 loss_dfl: 0.552462 loss: 2.719276 eta: 2 days, 4:23:29 batch_cost: 1.2139 data_cost: 0.0025 ips: 32.9524 images/s
[07/27 06:59:54] ppdet.engine INFO: Epoch: [72] [ 80/732] learning_rate: 0.170640 loss_vfl: 1.413663 loss_bbox: 0.805101 loss_dfl: 0.551679 loss: 2.743599 eta: 2 days, 4:23:06 batch_cost: 1.1273 data_cost: 0.0015 ips: 35.4844 images/s
[07/27 07:00:20] ppdet.engine INFO: Epoch: [72] [100/732] learning_rate: 0.170618 loss_vfl: 1.337731 loss_bbox: 0.765046 loss_dfl: 0.532091 loss: 2.640484 eta: 2 days, 4:22:44 batch_cost: 1.1413 data_cost: 0.0175 ips: 35.0467 images/s
[07/27 07:00:47] ppdet.engine INFO: Epoch: [72] [120/732] learning_rate: 0.170597 loss_vfl: 1.317117 loss_bbox: 0.770815 loss_dfl: 0.526779 loss: 2.607374 eta: 2 days, 4:22:22 batch_cost: 1.1356 data_cost: 0.0034 ips: 35.2231 images/s
[07/27 07:01:15] ppdet.engine INFO: Epoch: [72] [140/732] learning_rate: 0.170575 loss_vfl: 1.349781 loss_bbox: 0.780753 loss_dfl: 0.543921 loss: 2.678720 eta: 2 days, 4:22:06 batch_cost: 1.2343 data_cost: 0.0093 ips: 32.4075 images/s
[07/27 07:01:42] ppdet.engine INFO: Epoch: [72] [160/732] learning_rate: 0.170554 loss_vfl: 1.353921 loss_bbox: 0.790330 loss_dfl: 0.539319 loss: 2.685090 eta: 2 days, 4:21:37 batch_cost: 1.0349 data_cost: 0.0039 ips: 38.6497 images/s
[07/27 07:02:09] ppdet.engine INFO: Epoch: [72] [180/732] learning_rate: 0.170532 loss_vfl: 1.379354 loss_bbox: 0.791721 loss_dfl: 0.547923 loss: 2.738364 eta: 2 days, 4:21:18 batch_cost: 1.1828 data_cost: 0.0075 ips: 33.8177 images/s
[07/27 07:02:35] ppdet.engine INFO: Epoch: [72] [200/732] learning_rate: 0.170510 loss_vfl: 1.302971 loss_bbox: 0.753417 loss_dfl: 0.518341 loss: 2.563642 eta: 2 days, 4:20:55 batch_cost: 1.1331 data_cost: 0.0049 ips: 35.3015 images/s
[07/27 07:03:01] ppdet.engine INFO: Epoch: [72] [220/732] learning_rate: 0.170489 loss_vfl: 1.326119 loss_bbox: 0.743402 loss_dfl: 0.524544 loss: 2.635190 eta: 2 days, 4:20:34 batch_cost: 1.1533 data_cost: 0.0033 ips: 34.6839 images/s
[07/27 07:03:28] ppdet.engine INFO: Epoch: [72] [240/732] learning_rate: 0.170467 loss_vfl: 1.316772 loss_bbox: 0.739871 loss_dfl: 0.514222 loss: 2.567457 eta: 2 days, 4:20:12 batch_cost: 1.1349 data_cost: 0.0093 ips: 35.2468 images/s
[07/27 07:03:56] ppdet.engine INFO: Epoch: [72] [260/732] learning_rate: 0.170446 loss_vfl: 1.293442 loss_bbox: 0.746885 loss_dfl: 0.517195 loss: 2.560639 eta: 2 days, 4:19:53 batch_cost: 1.1917 data_cost: 0.0057 ips: 33.5659 images/s
[07/27 07:04:25] ppdet.engine INFO: Epoch: [72] [280/732] learning_rate: 0.170424 loss_vfl: 1.359365 loss_bbox: 0.725373 loss_dfl: 0.511741 loss: 2.588509 eta: 2 days, 4:19:36 batch_cost: 1.2176 data_cost: 0.0150 ips: 32.8523 images/s
[07/27 07:04:52] ppdet.engine INFO: Epoch: [72] [300/732] learning_rate: 0.170402 loss_vfl: 1.318009 loss_bbox: 0.755047 loss_dfl: 0.514358 loss: 2.583133 eta: 2 days, 4:19:15 batch_cost: 1.1586 data_cost: 0.0032 ips: 34.5239 images/s
[07/27 07:05:19] ppdet.engine INFO: Epoch: [72] [320/732] learning_rate: 0.170381 loss_vfl: 1.299270 loss_bbox: 0.763995 loss_dfl: 0.515655 loss: 2.589526 eta: 2 days, 4:18:50 batch_cost: 1.0973 data_cost: 0.0057 ips: 36.4530 images/s
[07/27 07:05:43] ppdet.engine INFO: Epoch: [72] [340/732] learning_rate: 0.170359 loss_vfl: 1.366795 loss_bbox: 0.770210 loss_dfl: 0.527673 loss: 2.672177 eta: 2 days, 4:18:20 batch_cost: 1.0020 data_cost: 0.0062 ips: 39.9212 images/s
[07/27 07:06:13] ppdet.engine INFO: Epoch: [72] [360/732] learning_rate: 0.170337 loss_vfl: 1.297548 loss_bbox: 0.741008 loss_dfl: 0.507010 loss: 2.560715 eta: 2 days, 4:18:05 batch_cost: 1.2512 data_cost: 0.0068 ips: 31.9692 images/s
[07/27 07:06:40] ppdet.engine INFO: Epoch: [72] [380/732] learning_rate: 0.170316 loss_vfl: 1.320227 loss_bbox: 0.758372 loss_dfl: 0.517318 loss: 2.586071 eta: 2 days, 4:17:40 batch_cost: 1.0973 data_cost: 0.0076 ips: 36.4538 images/s
[07/27 07:07:07] ppdet.engine INFO: Epoch: [72] [400/732] learning_rate: 0.170294 loss_vfl: 1.301245 loss_bbox: 0.737217 loss_dfl: 0.510629 loss: 2.540205 eta: 2 days, 4:17:19 batch_cost: 1.1628 data_cost: 0.0037 ips: 34.4012 images/s
[07/27 07:07:35] ppdet.engine INFO: Epoch: [72] [420/732] learning_rate: 0.170272 loss_vfl: 1.385833 loss_bbox: 0.768149 loss_dfl: 0.538925 loss: 2.667173 eta: 2 days, 4:17:02 batch_cost: 1.2089 data_cost: 0.0029 ips: 33.0877 images/s
[07/27 07:08:01] ppdet.engine INFO: Epoch: [72] [440/732] learning_rate: 0.170251 loss_vfl: 1.367421 loss_bbox: 0.790902 loss_dfl: 0.545920 loss: 2.689034 eta: 2 days, 4:16:35 batch_cost: 1.0615 data_cost: 0.0029 ips: 37.6812 images/s
[07/27 07:08:28] ppdet.engine INFO: Epoch: [72] [460/732] learning_rate: 0.170229 loss_vfl: 1.329769 loss_bbox: 0.753185 loss_dfl: 0.521080 loss: 2.583955 eta: 2 days, 4:16:10 batch_cost: 1.0941 data_cost: 0.0043 ips: 36.5593 images/s
[07/27 07:08:54] ppdet.engine INFO: Epoch: [72] [480/732] learning_rate: 0.170207 loss_vfl: 1.386779 loss_bbox: 0.766100 loss_dfl: 0.538031 loss: 2.704089 eta: 2 days, 4:15:47 batch_cost: 1.1335 data_cost: 0.0067 ips: 35.2898 images/s
[07/27 07:09:21] ppdet.engine INFO: Epoch: [72] [500/732] learning_rate: 0.170185 loss_vfl: 1.346807 loss_bbox: 0.757442 loss_dfl: 0.523404 loss: 2.624960 eta: 2 days, 4:15:23 batch_cost: 1.1025 data_cost: 0.0016 ips: 36.2809 images/s
[07/27 07:09:46] ppdet.engine INFO: Epoch: [72] [520/732] learning_rate: 0.170164 loss_vfl: 1.277179 loss_bbox: 0.722987 loss_dfl: 0.489097 loss: 2.460387 eta: 2 days, 4:14:55 batch_cost: 1.0447 data_cost: 0.0107 ips: 38.2903 images/s
[07/27 07:10:12] ppdet.engine INFO: Epoch: [72] [540/732] learning_rate: 0.170142 loss_vfl: 1.350360 loss_bbox: 0.788328 loss_dfl: 0.530688 loss: 2.687608 eta: 2 days, 4:14:30 batch_cost: 1.0885 data_cost: 0.0053 ips: 36.7469 images/s
[07/27 07:10:39] ppdet.engine INFO: Epoch: [72] [560/732] learning_rate: 0.170120 loss_vfl: 1.309302 loss_bbox: 0.776395 loss_dfl: 0.540491 loss: 2.644180 eta: 2 days, 4:14:04 batch_cost: 1.0739 data_cost: 0.0136 ips: 37.2488 images/s
[07/27 07:11:06] ppdet.engine INFO: Epoch: [72] [580/732] learning_rate: 0.170099 loss_vfl: 1.323616 loss_bbox: 0.724485 loss_dfl: 0.515210 loss: 2.592769 eta: 2 days, 4:13:45 batch_cost: 1.1896 data_cost: 0.0071 ips: 33.6255 images/s
[07/27 07:11:34] ppdet.engine INFO: Epoch: [72] [600/732] learning_rate: 0.170077 loss_vfl: 1.265174 loss_bbox: 0.727154 loss_dfl: 0.506751 loss: 2.485947 eta: 2 days, 4:13:25 batch_cost: 1.1705 data_cost: 0.0066 ips: 34.1747 images/s
[07/27 07:12:01] ppdet.engine INFO: Epoch: [72] [620/732] learning_rate: 0.170055 loss_vfl: 1.320455 loss_bbox: 0.760452 loss_dfl: 0.525750 loss: 2.609649 eta: 2 days, 4:12:59 batch_cost: 1.0823 data_cost: 0.0102 ips: 36.9599 images/s
[07/27 07:12:27] ppdet.engine INFO: Epoch: [72] [640/732] learning_rate: 0.170033 loss_vfl: 1.367790 loss_bbox: 0.791579 loss_dfl: 0.549030 loss: 2.687921 eta: 2 days, 4:12:32 batch_cost: 1.0648 data_cost: 0.0177 ips: 37.5672 images/s
[07/27 07:12:54] ppdet.engine INFO: Epoch: [72] [660/732] learning_rate: 0.170012 loss_vfl: 1.340498 loss_bbox: 0.748529 loss_dfl: 0.524878 loss: 2.616899 eta: 2 days, 4:12:08 batch_cost: 1.0991 data_cost: 0.0057 ips: 36.3925 images/s
[07/27 07:13:21] ppdet.engine INFO: Epoch: [72] [680/732] learning_rate: 0.169990 loss_vfl: 1.244480 loss_bbox: 0.724857 loss_dfl: 0.499271 loss: 2.470657 eta: 2 days, 4:11:52 batch_cost: 1.2452 data_cost: 0.0045 ips: 32.1243 images/s
[07/27 07:13:47] ppdet.engine INFO: Epoch: [72] [700/732] learning_rate: 0.169968 loss_vfl: 1.413685 loss_bbox: 0.814468 loss_dfl: 0.562523 loss: 2.782771 eta: 2 days, 4:11:26 batch_cost: 1.0691 data_cost: 0.0124 ips: 37.4162 images/s
[07/27 07:14:14] ppdet.engine INFO: Epoch: [72] [720/732] learning_rate: 0.169946 loss_vfl: 1.335236 loss_bbox: 0.736501 loss_dfl: 0.516359 loss: 2.590221 eta: 2 days, 4:11:02 batch_cost: 1.1046 data_cost: 0.0059 ips: 36.2130 images/s
[07/27 07:14:36] ppdet.engine INFO: Epoch: [73] [  0/732] learning_rate: 0.169933 loss_vfl: 1.322245 loss_bbox: 0.735456 loss_dfl: 0.520537 loss: 2.601061 eta: 2 days, 4:11:04 batch_cost: 1.3790 data_cost: 0.4665 ips: 29.0067 images/s
[07/27 07:15:05] ppdet.engine INFO: Epoch: [73] [ 20/732] learning_rate: 0.169911 loss_vfl: 1.357964 loss_bbox: 0.778226 loss_dfl: 0.531344 loss: 2.620734 eta: 2 days, 4:10:48 batch_cost: 1.2394 data_cost: 0.0057 ips: 32.2737 images/s
[07/27 07:15:31] ppdet.engine INFO: Epoch: [73] [ 40/732] learning_rate: 0.169890 loss_vfl: 1.397073 loss_bbox: 0.752327 loss_dfl: 0.536631 loss: 2.690022 eta: 2 days, 4:10:23 batch_cost: 1.0932 data_cost: 0.0067 ips: 36.5887 images/s
[07/27 07:15:59] ppdet.engine INFO: Epoch: [73] [ 60/732] learning_rate: 0.169868 loss_vfl: 1.333020 loss_bbox: 0.768748 loss_dfl: 0.519069 loss: 2.601452 eta: 2 days, 4:10:02 batch_cost: 1.1648 data_cost: 0.0045 ips: 34.3399 images/s
[07/27 07:16:26] ppdet.engine INFO: Epoch: [73] [ 80/732] learning_rate: 0.169846 loss_vfl: 1.349804 loss_bbox: 0.778456 loss_dfl: 0.540382 loss: 2.679151 eta: 2 days, 4:09:38 batch_cost: 1.1043 data_cost: 0.0069 ips: 36.2209 images/s
[07/27 07:16:55] ppdet.engine INFO: Epoch: [73] [100/732] learning_rate: 0.169824 loss_vfl: 1.339895 loss_bbox: 0.762802 loss_dfl: 0.523715 loss: 2.615535 eta: 2 days, 4:09:26 batch_cost: 1.3031 data_cost: 0.0035 ips: 30.6961 images/s
[07/27 07:17:23] ppdet.engine INFO: Epoch: [73] [120/732] learning_rate: 0.169802 loss_vfl: 1.340488 loss_bbox: 0.759138 loss_dfl: 0.528322 loss: 2.620893 eta: 2 days, 4:09:05 batch_cost: 1.1545 data_cost: 0.0036 ips: 34.6456 images/s
[07/27 07:17:51] ppdet.engine INFO: Epoch: [73] [140/732] learning_rate: 0.169780 loss_vfl: 1.355029 loss_bbox: 0.752332 loss_dfl: 0.520821 loss: 2.616559 eta: 2 days, 4:08:46 batch_cost: 1.1923 data_cost: 0.0057 ips: 33.5496 images/s
[07/27 07:18:17] ppdet.engine INFO: Epoch: [73] [160/732] learning_rate: 0.169759 loss_vfl: 1.346364 loss_bbox: 0.750469 loss_dfl: 0.518979 loss: 2.612977 eta: 2 days, 4:08:20 batch_cost: 1.0748 data_cost: 0.0027 ips: 37.2150 images/s
[07/27 07:18:44] ppdet.engine INFO: Epoch: [73] [180/732] learning_rate: 0.169737 loss_vfl: 1.321851 loss_bbox: 0.775134 loss_dfl: 0.532291 loss: 2.613034 eta: 2 days, 4:07:57 batch_cost: 1.1232 data_cost: 0.0055 ips: 35.6140 images/s
[07/27 07:19:11] ppdet.engine INFO: Epoch: [73] [200/732] learning_rate: 0.169715 loss_vfl: 1.326308 loss_bbox: 0.761672 loss_dfl: 0.526551 loss: 2.605258 eta: 2 days, 4:07:38 batch_cost: 1.1835 data_cost: 0.0017 ips: 33.7987 images/s
[07/27 07:19:39] ppdet.engine INFO: Epoch: [73] [220/732] learning_rate: 0.169693 loss_vfl: 1.323341 loss_bbox: 0.763307 loss_dfl: 0.520759 loss: 2.611200 eta: 2 days, 4:07:14 batch_cost: 1.1045 data_cost: 0.0041 ips: 36.2155 images/s
[07/27 07:20:06] ppdet.engine INFO: Epoch: [73] [240/732] learning_rate: 0.169671 loss_vfl: 1.310166 loss_bbox: 0.739056 loss_dfl: 0.517615 loss: 2.592969 eta: 2 days, 4:06:53 batch_cost: 1.1657 data_cost: 0.0034 ips: 34.3149 images/s
[07/27 07:20:32] ppdet.engine INFO: Epoch: [73] [260/732] learning_rate: 0.169649 loss_vfl: 1.304497 loss_bbox: 0.728152 loss_dfl: 0.513579 loss: 2.537165 eta: 2 days, 4:06:27 batch_cost: 1.0686 data_cost: 0.0037 ips: 37.4313 images/s
[07/27 07:20:59] ppdet.engine INFO: Epoch: [73] [280/732] learning_rate: 0.169627 loss_vfl: 1.339009 loss_bbox: 0.751968 loss_dfl: 0.523451 loss: 2.622669 eta: 2 days, 4:06:05 batch_cost: 1.1519 data_cost: 0.0060 ips: 34.7250 images/s
[07/27 07:21:24] ppdet.engine INFO: Epoch: [73] [300/732] learning_rate: 0.169606 loss_vfl: 1.345797 loss_bbox: 0.754286 loss_dfl: 0.528919 loss: 2.664525 eta: 2 days, 4:05:34 batch_cost: 0.9877 data_cost: 0.0045 ips: 40.4994 images/s
[07/27 07:21:50] ppdet.engine INFO: Epoch: [73] [320/732] learning_rate: 0.169584 loss_vfl: 1.354159 loss_bbox: 0.802843 loss_dfl: 0.543449 loss: 2.700603 eta: 2 days, 4:05:04 batch_cost: 1.0145 data_cost: 0.0077 ips: 39.4287 images/s
[07/27 07:22:18] ppdet.engine INFO: Epoch: [73] [340/732] learning_rate: 0.169562 loss_vfl: 1.302708 loss_bbox: 0.722443 loss_dfl: 0.515388 loss: 2.556996 eta: 2 days, 4:04:44 batch_cost: 1.1658 data_cost: 0.0025 ips: 34.3107 images/s
[07/27 07:22:46] ppdet.engine INFO: Epoch: [73] [360/732] learning_rate: 0.169540 loss_vfl: 1.331957 loss_bbox: 0.757956 loss_dfl: 0.521929 loss: 2.601059 eta: 2 days, 4:04:21 batch_cost: 1.1322 data_cost: 0.0067 ips: 35.3291 images/s
[07/27 07:23:12] ppdet.engine INFO: Epoch: [73] [380/732] learning_rate: 0.169518 loss_vfl: 1.333434 loss_bbox: 0.758284 loss_dfl: 0.521455 loss: 2.617718 eta: 2 days, 4:03:55 batch_cost: 1.0740 data_cost: 0.0065 ips: 37.2428 images/s
[07/27 07:23:35] ppdet.engine INFO: Epoch: [73] [400/732] learning_rate: 0.169496 loss_vfl: 1.338997 loss_bbox: 0.742289 loss_dfl: 0.520991 loss: 2.620988 eta: 2 days, 4:03:23 batch_cost: 0.9709 data_cost: 0.0030 ips: 41.1971 images/s
[07/27 07:24:02] ppdet.engine INFO: Epoch: [73] [420/732] learning_rate: 0.169474 loss_vfl: 1.295121 loss_bbox: 0.771574 loss_dfl: 0.526362 loss: 2.579946 eta: 2 days, 4:02:57 batch_cost: 1.0799 data_cost: 0.0050 ips: 37.0393 images/s
[07/27 07:24:29] ppdet.engine INFO: Epoch: [73] [440/732] learning_rate: 0.169452 loss_vfl: 1.361908 loss_bbox: 0.765199 loss_dfl: 0.531255 loss: 2.672169 eta: 2 days, 4:02:35 batch_cost: 1.1491 data_cost: 0.0141 ips: 34.8102 images/s
[07/27 07:24:56] ppdet.engine INFO: Epoch: [73] [460/732] learning_rate: 0.169430 loss_vfl: 1.269552 loss_bbox: 0.707635 loss_dfl: 0.502685 loss: 2.501801 eta: 2 days, 4:02:11 batch_cost: 1.0974 data_cost: 0.0063 ips: 36.4485 images/s
[07/27 07:25:20] ppdet.engine INFO: Epoch: [73] [480/732] learning_rate: 0.169408 loss_vfl: 1.304450 loss_bbox: 0.780847 loss_dfl: 0.527949 loss: 2.621388 eta: 2 days, 4:01:41 batch_cost: 1.0126 data_cost: 0.0120 ips: 39.5037 images/s
[07/27 07:25:47] ppdet.engine INFO: Epoch: [73] [500/732] learning_rate: 0.169386 loss_vfl: 1.349957 loss_bbox: 0.753544 loss_dfl: 0.520978 loss: 2.636090 eta: 2 days, 4:01:15 batch_cost: 1.0766 data_cost: 0.0054 ips: 37.1542 images/s
[07/27 07:26:15] ppdet.engine INFO: Epoch: [73] [520/732] learning_rate: 0.169364 loss_vfl: 1.402443 loss_bbox: 0.796291 loss_dfl: 0.553188 loss: 2.769758 eta: 2 days, 4:00:54 batch_cost: 1.1507 data_cost: 0.0175 ips: 34.7620 images/s
[07/27 07:26:42] ppdet.engine INFO: Epoch: [73] [540/732] learning_rate: 0.169342 loss_vfl: 1.305899 loss_bbox: 0.779063 loss_dfl: 0.533096 loss: 2.598196 eta: 2 days, 4:00:29 batch_cost: 1.1027 data_cost: 0.0062 ips: 36.2749 images/s
[07/27 07:27:07] ppdet.engine INFO: Epoch: [73] [560/732] learning_rate: 0.169321 loss_vfl: 1.407632 loss_bbox: 0.753259 loss_dfl: 0.530303 loss: 2.684553 eta: 2 days, 4:00:02 batch_cost: 1.0568 data_cost: 0.0029 ips: 37.8501 images/s
[07/27 07:27:35] ppdet.engine INFO: Epoch: [73] [580/732] learning_rate: 0.169299 loss_vfl: 1.387769 loss_bbox: 0.822770 loss_dfl: 0.560027 loss: 2.765803 eta: 2 days, 3:59:40 batch_cost: 1.1392 data_cost: 0.0080 ips: 35.1130 images/s
[07/27 07:28:01] ppdet.engine INFO: Epoch: [73] [600/732] learning_rate: 0.169277 loss_vfl: 1.284385 loss_bbox: 0.741795 loss_dfl: 0.516002 loss: 2.590489 eta: 2 days, 3:59:17 batch_cost: 1.1244 data_cost: 0.0034 ips: 35.5757 images/s
[07/27 07:28:29] ppdet.engine INFO: Epoch: [73] [620/732] learning_rate: 0.169255 loss_vfl: 1.286081 loss_bbox: 0.742065 loss_dfl: 0.509495 loss: 2.530923 eta: 2 days, 3:58:58 batch_cost: 1.1913 data_cost: 0.0027 ips: 33.5770 images/s
[07/27 07:28:55] ppdet.engine INFO: Epoch: [73] [640/732] learning_rate: 0.169233 loss_vfl: 1.279078 loss_bbox: 0.710383 loss_dfl: 0.489889 loss: 2.454380 eta: 2 days, 3:58:38 batch_cost: 1.1646 data_cost: 0.0101 ips: 34.3475 images/s
[07/27 07:29:23] ppdet.engine INFO: Epoch: [73] [660/732] learning_rate: 0.169211 loss_vfl: 1.303959 loss_bbox: 0.735996 loss_dfl: 0.510270 loss: 2.557320 eta: 2 days, 3:58:18 batch_cost: 1.1824 data_cost: 0.0081 ips: 33.8283 images/s
[07/27 07:29:49] ppdet.engine INFO: Epoch: [73] [680/732] learning_rate: 0.169189 loss_vfl: 1.285618 loss_bbox: 0.752080 loss_dfl: 0.521766 loss: 2.573378 eta: 2 days, 3:57:50 batch_cost: 1.0426 data_cost: 0.0060 ips: 38.3647 images/s
[07/27 07:30:17] ppdet.engine INFO: Epoch: [73] [700/732] learning_rate: 0.169167 loss_vfl: 1.340777 loss_bbox: 0.757854 loss_dfl: 0.528542 loss: 2.675536 eta: 2 days, 3:57:26 batch_cost: 1.1022 data_cost: 0.0068 ips: 36.2906 images/s
[07/27 07:30:42] ppdet.engine INFO: Epoch: [73] [720/732] learning_rate: 0.169145 loss_vfl: 1.345029 loss_bbox: 0.759002 loss_dfl: 0.526408 loss: 2.628854 eta: 2 days, 3:56:58 batch_cost: 1.0458 data_cost: 0.0047 ips: 38.2471 images/s
[07/27 07:31:04] ppdet.engine INFO: Epoch: [74] [  0/732] learning_rate: 0.169131 loss_vfl: 1.359951 loss_bbox: 0.776260 loss_dfl: 0.543444 loss: 2.658535 eta: 2 days, 3:57:00 batch_cost: 1.3665 data_cost: 0.4564 ips: 29.2725 images/s
[07/27 07:31:35] ppdet.engine INFO: Epoch: [74] [ 20/732] learning_rate: 0.169109 loss_vfl: 1.310860 loss_bbox: 0.775460 loss_dfl: 0.533426 loss: 2.640333 eta: 2 days, 3:56:50 batch_cost: 1.3316 data_cost: 0.0038 ips: 30.0386 images/s
[07/27 07:32:02] ppdet.engine INFO: Epoch: [74] [ 40/732] learning_rate: 0.169087 loss_vfl: 1.350931 loss_bbox: 0.767237 loss_dfl: 0.527819 loss: 2.656986 eta: 2 days, 3:56:30 batch_cost: 1.1714 data_cost: 0.0071 ips: 34.1478 images/s
[07/27 07:32:30] ppdet.engine INFO: Epoch: [74] [ 60/732] learning_rate: 0.169065 loss_vfl: 1.315930 loss_bbox: 0.764165 loss_dfl: 0.526125 loss: 2.602806 eta: 2 days, 3:56:06 batch_cost: 1.1097 data_cost: 0.0036 ips: 36.0464 images/s
[07/27 07:32:55] ppdet.engine INFO: Epoch: [74] [ 80/732] learning_rate: 0.169043 loss_vfl: 1.325788 loss_bbox: 0.750459 loss_dfl: 0.515707 loss: 2.580482 eta: 2 days, 3:55:40 batch_cost: 1.0784 data_cost: 0.0056 ips: 37.0924 images/s
[07/27 07:33:24] ppdet.engine INFO: Epoch: [74] [100/732] learning_rate: 0.169021 loss_vfl: 1.306638 loss_bbox: 0.751554 loss_dfl: 0.515864 loss: 2.590967 eta: 2 days, 3:55:23 batch_cost: 1.2134 data_cost: 0.0121 ips: 32.9639 images/s
[07/27 07:33:49] ppdet.engine INFO: Epoch: [74] [120/732] learning_rate: 0.168999 loss_vfl: 1.312308 loss_bbox: 0.748493 loss_dfl: 0.519203 loss: 2.586377 eta: 2 days, 3:54:54 batch_cost: 1.0372 data_cost: 0.0047 ips: 38.5657 images/s
[07/27 07:34:15] ppdet.engine INFO: Epoch: [74] [140/732] learning_rate: 0.168977 loss_vfl: 1.353601 loss_bbox: 0.754955 loss_dfl: 0.519916 loss: 2.640078 eta: 2 days, 3:54:26 batch_cost: 1.0352 data_cost: 0.0026 ips: 38.6412 images/s
[07/27 07:34:41] ppdet.engine INFO: Epoch: [74] [160/732] learning_rate: 0.168955 loss_vfl: 1.305873 loss_bbox: 0.774357 loss_dfl: 0.530389 loss: 2.615578 eta: 2 days, 3:53:59 batch_cost: 1.0549 data_cost: 0.0048 ips: 37.9165 images/s
[07/27 07:35:09] ppdet.engine INFO: Epoch: [74] [180/732] learning_rate: 0.168933 loss_vfl: 1.307762 loss_bbox: 0.756644 loss_dfl: 0.519735 loss: 2.577239 eta: 2 days, 3:53:36 batch_cost: 1.1341 data_cost: 0.0072 ips: 35.2703 images/s
[07/27 07:35:35] ppdet.engine INFO: Epoch: [74] [200/732] learning_rate: 0.168911 loss_vfl: 1.413411 loss_bbox: 0.787207 loss_dfl: 0.542755 loss: 2.729406 eta: 2 days, 3:53:08 batch_cost: 1.0410 data_cost: 0.0043 ips: 38.4231 images/s
[07/27 07:36:00] ppdet.engine INFO: Epoch: [74] [220/732] learning_rate: 0.168889 loss_vfl: 1.302382 loss_bbox: 0.757941 loss_dfl: 0.514211 loss: 2.578889 eta: 2 days, 3:52:40 batch_cost: 1.0398 data_cost: 0.0049 ips: 38.4680 images/s
[07/27 07:36:28] ppdet.engine INFO: Epoch: [74] [240/732] learning_rate: 0.168867 loss_vfl: 1.320490 loss_bbox: 0.766699 loss_dfl: 0.531617 loss: 2.630758 eta: 2 days, 3:52:17 batch_cost: 1.1292 data_cost: 0.0041 ips: 35.4235 images/s
[07/27 07:36:53] ppdet.engine INFO: Epoch: [74] [260/732] learning_rate: 0.168845 loss_vfl: 1.328161 loss_bbox: 0.751083 loss_dfl: 0.520440 loss: 2.601121 eta: 2 days, 3:51:52 batch_cost: 1.0902 data_cost: 0.0068 ips: 36.6906 images/s
[07/27 07:37:19] ppdet.engine INFO: Epoch: [74] [280/732] learning_rate: 0.168822 loss_vfl: 1.365861 loss_bbox: 0.771571 loss_dfl: 0.538526 loss: 2.672966 eta: 2 days, 3:51:27 batch_cost: 1.0834 data_cost: 0.0041 ips: 36.9209 images/s
[07/27 07:37:45] ppdet.engine INFO: Epoch: [74] [300/732] learning_rate: 0.168800 loss_vfl: 1.283476 loss_bbox: 0.732337 loss_dfl: 0.499163 loss: 2.506675 eta: 2 days, 3:51:02 batch_cost: 1.0913 data_cost: 0.0067 ips: 36.6524 images/s
[07/27 07:38:12] ppdet.engine INFO: Epoch: [74] [320/732] learning_rate: 0.168778 loss_vfl: 1.309036 loss_bbox: 0.760172 loss_dfl: 0.527417 loss: 2.588670 eta: 2 days, 3:50:40 batch_cost: 1.1408 data_cost: 0.0063 ips: 35.0645 images/s
[07/27 07:38:39] ppdet.engine INFO: Epoch: [74] [340/732] learning_rate: 0.168756 loss_vfl: 1.290830 loss_bbox: 0.750881 loss_dfl: 0.506541 loss: 2.513342 eta: 2 days, 3:50:19 batch_cost: 1.1609 data_cost: 0.0039 ips: 34.4552 images/s
[07/27 07:39:05] ppdet.engine INFO: Epoch: [74] [360/732] learning_rate: 0.168734 loss_vfl: 1.367783 loss_bbox: 0.819159 loss_dfl: 0.550004 loss: 2.707282 eta: 2 days, 3:49:57 batch_cost: 1.1322 data_cost: 0.0032 ips: 35.3307 images/s
[07/27 07:39:31] ppdet.engine INFO: Epoch: [74] [380/732] learning_rate: 0.168712 loss_vfl: 1.292668 loss_bbox: 0.729881 loss_dfl: 0.503526 loss: 2.532831 eta: 2 days, 3:49:34 batch_cost: 1.1272 data_cost: 0.0033 ips: 35.4864 images/s
[07/27 07:39:58] ppdet.engine INFO: Epoch: [74] [400/732] learning_rate: 0.168690 loss_vfl: 1.346847 loss_bbox: 0.778920 loss_dfl: 0.536578 loss: 2.638476 eta: 2 days, 3:49:12 batch_cost: 1.1506 data_cost: 0.0037 ips: 34.7645 images/s
[07/27 07:40:26] ppdet.engine INFO: Epoch: [74] [420/732] learning_rate: 0.168668 loss_vfl: 1.384846 loss_bbox: 0.762255 loss_dfl: 0.536083 loss: 2.714358 eta: 2 days, 3:48:56 batch_cost: 1.2313 data_cost: 0.0058 ips: 32.4850 images/s
[07/27 07:40:53] ppdet.engine INFO: Epoch: [74] [440/732] learning_rate: 0.168645 loss_vfl: 1.292927 loss_bbox: 0.743945 loss_dfl: 0.524741 loss: 2.566601 eta: 2 days, 3:48:32 batch_cost: 1.1115 data_cost: 0.0061 ips: 35.9869 images/s
[07/27 07:41:20] ppdet.engine INFO: Epoch: [74] [460/732] learning_rate: 0.168623 loss_vfl: 1.334995 loss_bbox: 0.784076 loss_dfl: 0.534969 loss: 2.656669 eta: 2 days, 3:48:12 batch_cost: 1.1775 data_cost: 0.0037 ips: 33.9695 images/s
[07/27 07:41:49] ppdet.engine INFO: Epoch: [74] [480/732] learning_rate: 0.168601 loss_vfl: 1.328548 loss_bbox: 0.731566 loss_dfl: 0.516485 loss: 2.580704 eta: 2 days, 3:47:55 batch_cost: 1.2151 data_cost: 0.0073 ips: 32.9193 images/s
[07/27 07:42:15] ppdet.engine INFO: Epoch: [74] [500/732] learning_rate: 0.168579 loss_vfl: 1.353709 loss_bbox: 0.773065 loss_dfl: 0.536683 loss: 2.669864 eta: 2 days, 3:47:32 batch_cost: 1.1220 data_cost: 0.0054 ips: 35.6513 images/s
[07/27 07:42:42] ppdet.engine INFO: Epoch: [74] [520/732] learning_rate: 0.168557 loss_vfl: 1.358746 loss_bbox: 0.759392 loss_dfl: 0.537046 loss: 2.665925 eta: 2 days, 3:47:11 batch_cost: 1.1578 data_cost: 0.0056 ips: 34.5497 images/s
[07/27 07:43:09] ppdet.engine INFO: Epoch: [74] [540/732] learning_rate: 0.168535 loss_vfl: 1.286899 loss_bbox: 0.746902 loss_dfl: 0.507769 loss: 2.526914 eta: 2 days, 3:46:46 batch_cost: 1.0964 data_cost: 0.0032 ips: 36.4837 images/s
[07/27 07:43:36] ppdet.engine INFO: Epoch: [74] [560/732] learning_rate: 0.168512 loss_vfl: 1.343726 loss_bbox: 0.771846 loss_dfl: 0.535610 loss: 2.666893 eta: 2 days, 3:46:26 batch_cost: 1.1783 data_cost: 0.0064 ips: 33.9477 images/s
[07/27 07:44:03] ppdet.engine INFO: Epoch: [74] [580/732] learning_rate: 0.168490 loss_vfl: 1.351788 loss_bbox: 0.815792 loss_dfl: 0.559055 loss: 2.724641 eta: 2 days, 3:46:02 batch_cost: 1.0948 data_cost: 0.0021 ips: 36.5376 images/s
[07/27 07:44:30] ppdet.engine INFO: Epoch: [74] [600/732] learning_rate: 0.168468 loss_vfl: 1.410478 loss_bbox: 0.796394 loss_dfl: 0.548331 loss: 2.757544 eta: 2 days, 3:45:39 batch_cost: 1.1239 data_cost: 0.0060 ips: 35.5904 images/s
[07/27 07:44:56] ppdet.engine INFO: Epoch: [74] [620/732] learning_rate: 0.168446 loss_vfl: 1.276706 loss_bbox: 0.725000 loss_dfl: 0.500262 loss: 2.485149 eta: 2 days, 3:45:14 batch_cost: 1.0889 data_cost: 0.0029 ips: 36.7359 images/s
[07/27 07:45:23] ppdet.engine INFO: Epoch: [74] [640/732] learning_rate: 0.168424 loss_vfl: 1.304816 loss_bbox: 0.741226 loss_dfl: 0.508348 loss: 2.534478 eta: 2 days, 3:44:55 batch_cost: 1.2034 data_cost: 0.0038 ips: 33.2380 images/s
[07/27 07:45:51] ppdet.engine INFO: Epoch: [74] [660/732] learning_rate: 0.168401 loss_vfl: 1.325984 loss_bbox: 0.759922 loss_dfl: 0.529657 loss: 2.628177 eta: 2 days, 3:44:35 batch_cost: 1.1618 data_cost: 0.0043 ips: 34.4293 images/s
[07/27 07:46:18] ppdet.engine INFO: Epoch: [74] [680/732] learning_rate: 0.168379 loss_vfl: 1.283643 loss_bbox: 0.739512 loss_dfl: 0.503513 loss: 2.509755 eta: 2 days, 3:44:09 batch_cost: 1.0855 data_cost: 0.0088 ips: 36.8478 images/s
[07/27 07:46:45] ppdet.engine INFO: Epoch: [74] [700/732] learning_rate: 0.168357 loss_vfl: 1.379770 loss_bbox: 0.768849 loss_dfl: 0.543459 loss: 2.705673 eta: 2 days, 3:43:46 batch_cost: 1.1129 data_cost: 0.0050 ips: 35.9419 images/s
[07/27 07:47:10] ppdet.engine INFO: Epoch: [74] [720/732] learning_rate: 0.168335 loss_vfl: 1.306125 loss_bbox: 0.737072 loss_dfl: 0.500432 loss: 2.510866 eta: 2 days, 3:43:17 batch_cost: 1.0245 data_cost: 0.0050 ips: 39.0442 images/s
[07/27 07:47:31] ppdet.engine INFO: Epoch: [75] [  0/732] learning_rate: 0.168321 loss_vfl: 1.288674 loss_bbox: 0.721839 loss_dfl: 0.496353 loss: 2.498588 eta: 2 days, 3:43:18 batch_cost: 1.3101 data_cost: 0.3735 ips: 30.5319 images/s
[07/27 07:48:02] ppdet.engine INFO: Epoch: [75] [ 20/732] learning_rate: 0.168299 loss_vfl: 1.339734 loss_bbox: 0.750424 loss_dfl: 0.539841 loss: 2.621885 eta: 2 days, 3:43:07 batch_cost: 1.3267 data_cost: 0.1270 ips: 30.1500 images/s
[07/27 07:48:29] ppdet.engine INFO: Epoch: [75] [ 40/732] learning_rate: 0.168277 loss_vfl: 1.325925 loss_bbox: 0.739372 loss_dfl: 0.507711 loss: 2.565542 eta: 2 days, 3:42:42 batch_cost: 1.0893 data_cost: 0.0092 ips: 36.7219 images/s
[07/27 07:48:56] ppdet.engine INFO: Epoch: [75] [ 60/732] learning_rate: 0.168254 loss_vfl: 1.324534 loss_bbox: 0.718569 loss_dfl: 0.495596 loss: 2.521881 eta: 2 days, 3:42:19 batch_cost: 1.1200 data_cost: 0.0091 ips: 35.7129 images/s
[07/27 07:49:23] ppdet.engine INFO: Epoch: [75] [ 80/732] learning_rate: 0.168232 loss_vfl: 1.336032 loss_bbox: 0.760735 loss_dfl: 0.529067 loss: 2.593677 eta: 2 days, 3:41:57 batch_cost: 1.1401 data_cost: 0.0044 ips: 35.0834 images/s
[07/27 07:49:48] ppdet.engine INFO: Epoch: [75] [100/732] learning_rate: 0.168210 loss_vfl: 1.296867 loss_bbox: 0.745438 loss_dfl: 0.512639 loss: 2.548722 eta: 2 days, 3:41:30 batch_cost: 1.0557 data_cost: 0.0054 ips: 37.8885 images/s
[07/27 07:50:15] ppdet.engine INFO: Epoch: [75] [120/732] learning_rate: 0.168188 loss_vfl: 1.331680 loss_bbox: 0.753709 loss_dfl: 0.518110 loss: 2.610372 eta: 2 days, 3:41:09 batch_cost: 1.1663 data_cost: 0.0098 ips: 34.2975 images/s
[07/27 07:50:41] ppdet.engine INFO: Epoch: [75] [140/732] learning_rate: 0.168165 loss_vfl: 1.373867 loss_bbox: 0.792335 loss_dfl: 0.540856 loss: 2.709977 eta: 2 days, 3:40:47 batch_cost: 1.1320 data_cost: 0.0073 ips: 35.3358 images/s
[07/27 07:51:08] ppdet.engine INFO: Epoch: [75] [160/732] learning_rate: 0.168143 loss_vfl: 1.312273 loss_bbox: 0.744612 loss_dfl: 0.515367 loss: 2.567257 eta: 2 days, 3:40:20 batch_cost: 1.0601 data_cost: 0.0077 ips: 37.7321 images/s
[07/27 07:51:36] ppdet.engine INFO: Epoch: [75] [180/732] learning_rate: 0.168121 loss_vfl: 1.327792 loss_bbox: 0.762890 loss_dfl: 0.524172 loss: 2.614964 eta: 2 days, 3:40:04 batch_cost: 1.2414 data_cost: 0.0080 ips: 32.2208 images/s
[07/27 07:52:01] ppdet.engine INFO: Epoch: [75] [200/732] learning_rate: 0.168098 loss_vfl: 1.345787 loss_bbox: 0.767191 loss_dfl: 0.529629 loss: 2.650563 eta: 2 days, 3:39:36 batch_cost: 1.0481 data_cost: 0.0057 ips: 38.1654 images/s
[07/27 07:52:28] ppdet.engine INFO: Epoch: [75] [220/732] learning_rate: 0.168076 loss_vfl: 1.304520 loss_bbox: 0.748828 loss_dfl: 0.517548 loss: 2.579026 eta: 2 days, 3:39:14 batch_cost: 1.1455 data_cost: 0.0087 ips: 34.9190 images/s
[07/27 07:52:56] ppdet.engine INFO: Epoch: [75] [240/732] learning_rate: 0.168054 loss_vfl: 1.323157 loss_bbox: 0.770719 loss_dfl: 0.525958 loss: 2.616910 eta: 2 days, 3:38:55 batch_cost: 1.1866 data_cost: 0.0034 ips: 33.7084 images/s
[07/27 07:53:21] ppdet.engine INFO: Epoch: [75] [260/732] learning_rate: 0.168031 loss_vfl: 1.339148 loss_bbox: 0.733356 loss_dfl: 0.502391 loss: 2.545263 eta: 2 days, 3:38:27 batch_cost: 1.0371 data_cost: 0.0049 ips: 38.5700 images/s
[07/27 07:53:51] ppdet.engine INFO: Epoch: [75] [280/732] learning_rate: 0.168009 loss_vfl: 1.299890 loss_bbox: 0.737438 loss_dfl: 0.510401 loss: 2.540754 eta: 2 days, 3:38:18 batch_cost: 1.3563 data_cost: 0.0044 ips: 29.4916 images/s
[07/27 07:54:16] ppdet.engine INFO: Epoch: [75] [300/732] learning_rate: 0.167987 loss_vfl: 1.307714 loss_bbox: 0.738213 loss_dfl: 0.510535 loss: 2.559906 eta: 2 days, 3:37:50 batch_cost: 1.0403 data_cost: 0.0050 ips: 38.4510 images/s
[07/27 07:54:45] ppdet.engine INFO: Epoch: [75] [320/732] learning_rate: 0.167964 loss_vfl: 1.398312 loss_bbox: 0.790348 loss_dfl: 0.553056 loss: 2.728432 eta: 2 days, 3:37:32 batch_cost: 1.2062 data_cost: 0.0028 ips: 33.1633 images/s
[07/27 07:55:11] ppdet.engine INFO: Epoch: [75] [340/732] learning_rate: 0.167942 loss_vfl: 1.344135 loss_bbox: 0.774324 loss_dfl: 0.525814 loss: 2.648613 eta: 2 days, 3:37:04 batch_cost: 1.0507 data_cost: 0.0111 ips: 38.0687 images/s
[07/27 07:55:39] ppdet.engine INFO: Epoch: [75] [360/732] learning_rate: 0.167920 loss_vfl: 1.330407 loss_bbox: 0.762643 loss_dfl: 0.533758 loss: 2.631832 eta: 2 days, 3:36:38 batch_cost: 1.0730 data_cost: 0.0045 ips: 37.2788 images/s
[07/27 07:56:05] ppdet.engine INFO: Epoch: [75] [380/732] learning_rate: 0.167897 loss_vfl: 1.323017 loss_bbox: 0.748543 loss_dfl: 0.510014 loss: 2.534417 eta: 2 days, 3:36:12 batch_cost: 1.0661 data_cost: 0.0055 ips: 37.5202 images/s
[07/27 07:56:32] ppdet.engine INFO: Epoch: [75] [400/732] learning_rate: 0.167875 loss_vfl: 1.383246 loss_bbox: 0.780686 loss_dfl: 0.543600 loss: 2.697379 eta: 2 days, 3:35:45 batch_cost: 1.0649 data_cost: 0.0188 ips: 37.5628 images/s
[07/27 07:56:59] ppdet.engine INFO: Epoch: [75] [420/732] learning_rate: 0.167853 loss_vfl: 1.313977 loss_bbox: 0.744312 loss_dfl: 0.508144 loss: 2.551046 eta: 2 days, 3:35:24 batch_cost: 1.1524 data_cost: 0.0019 ips: 34.7102 images/s
[07/27 07:57:27] ppdet.engine INFO: Epoch: [75] [440/732] learning_rate: 0.167830 loss_vfl: 1.308712 loss_bbox: 0.742691 loss_dfl: 0.520824 loss: 2.569128 eta: 2 days, 3:35:01 batch_cost: 1.1181 data_cost: 0.0212 ips: 35.7764 images/s
[07/27 07:57:54] ppdet.engine INFO: Epoch: [75] [460/732] learning_rate: 0.167808 loss_vfl: 1.378391 loss_bbox: 0.776388 loss_dfl: 0.539634 loss: 2.736992 eta: 2 days, 3:34:39 batch_cost: 1.1494 data_cost: 0.0128 ips: 34.7997 images/s
[07/27 07:58:23] ppdet.engine INFO: Epoch: [75] [480/732] learning_rate: 0.167786 loss_vfl: 1.337957 loss_bbox: 0.750381 loss_dfl: 0.523547 loss: 2.601086 eta: 2 days, 3:34:19 batch_cost: 1.1748 data_cost: 0.0047 ips: 34.0480 images/s
[07/27 07:58:50] ppdet.engine INFO: Epoch: [75] [500/732] learning_rate: 0.167763 loss_vfl: 1.250010 loss_bbox: 0.713872 loss_dfl: 0.498206 loss: 2.450938 eta: 2 days, 3:33:58 batch_cost: 1.1455 data_cost: 0.0030 ips: 34.9180 images/s
[07/27 07:59:18] ppdet.engine INFO: Epoch: [75] [520/732] learning_rate: 0.167741 loss_vfl: 1.332024 loss_bbox: 0.752399 loss_dfl: 0.518329 loss: 2.586091 eta: 2 days, 3:33:36 batch_cost: 1.1554 data_cost: 0.0027 ips: 34.6210 images/s
[07/27 07:59:46] ppdet.engine INFO: Epoch: [75] [540/732] learning_rate: 0.167718 loss_vfl: 1.339229 loss_bbox: 0.748340 loss_dfl: 0.514400 loss: 2.602140 eta: 2 days, 3:33:18 batch_cost: 1.2011 data_cost: 0.0057 ips: 33.3036 images/s
[07/27 08:00:13] ppdet.engine INFO: Epoch: [75] [560/732] learning_rate: 0.167696 loss_vfl: 1.421628 loss_bbox: 0.792509 loss_dfl: 0.557472 loss: 2.756101 eta: 2 days, 3:32:55 batch_cost: 1.1194 data_cost: 0.0045 ips: 35.7330 images/s
[07/27 08:00:40] ppdet.engine INFO: Epoch: [75] [580/732] learning_rate: 0.167673 loss_vfl: 1.295854 loss_bbox: 0.780441 loss_dfl: 0.533136 loss: 2.612741 eta: 2 days, 3:32:33 batch_cost: 1.1488 data_cost: 0.0045 ips: 34.8177 images/s
[07/27 08:01:07] ppdet.engine INFO: Epoch: [75] [600/732] learning_rate: 0.167651 loss_vfl: 1.334063 loss_bbox: 0.757053 loss_dfl: 0.519895 loss: 2.624577 eta: 2 days, 3:32:11 batch_cost: 1.1427 data_cost: 0.0156 ips: 35.0040 images/s
[07/27 08:01:35] ppdet.engine INFO: Epoch: [75] [620/732] learning_rate: 0.167629 loss_vfl: 1.294148 loss_bbox: 0.743141 loss_dfl: 0.518351 loss: 2.554359 eta: 2 days, 3:31:48 batch_cost: 1.1148 data_cost: 0.0075 ips: 35.8795 images/s
[07/27 08:02:02] ppdet.engine INFO: Epoch: [75] [640/732] learning_rate: 0.167606 loss_vfl: 1.326226 loss_bbox: 0.756091 loss_dfl: 0.526674 loss: 2.612794 eta: 2 days, 3:31:27 batch_cost: 1.1671 data_cost: 0.0034 ips: 34.2719 images/s
[07/27 08:02:27] ppdet.engine INFO: Epoch: [75] [660/732] learning_rate: 0.167584 loss_vfl: 1.302932 loss_bbox: 0.762066 loss_dfl: 0.518893 loss: 2.584681 eta: 2 days, 3:31:01 batch_cost: 1.0693 data_cost: 0.0014 ips: 37.4093 images/s
[07/27 08:02:55] ppdet.engine INFO: Epoch: [75] [680/732] learning_rate: 0.167561 loss_vfl: 1.341326 loss_bbox: 0.787609 loss_dfl: 0.534302 loss: 2.640763 eta: 2 days, 3:30:39 batch_cost: 1.1467 data_cost: 0.0055 ips: 34.8827 images/s
[07/27 08:03:22] ppdet.engine INFO: Epoch: [75] [700/732] learning_rate: 0.167539 loss_vfl: 1.296962 loss_bbox: 0.752984 loss_dfl: 0.515667 loss: 2.555604 eta: 2 days, 3:30:15 batch_cost: 1.0960 data_cost: 0.0065 ips: 36.4951 images/s
[07/27 08:03:50] ppdet.engine INFO: Epoch: [75] [720/732] learning_rate: 0.167516 loss_vfl: 1.336716 loss_bbox: 0.750360 loss_dfl: 0.525515 loss: 2.622305 eta: 2 days, 3:29:52 batch_cost: 1.1351 data_cost: 0.0071 ips: 35.2398 images/s
[07/27 08:04:14] ppdet.engine INFO: Epoch: [76] [  0/732] learning_rate: 0.167503 loss_vfl: 1.318027 loss_bbox: 0.768784 loss_dfl: 0.525403 loss: 2.642529 eta: 2 days, 3:30:02 batch_cost: 1.4817 data_cost: 0.3122 ips: 26.9958 images/s
[07/27 08:04:43] ppdet.engine INFO: Epoch: [76] [ 20/732] learning_rate: 0.167480 loss_vfl: 1.356164 loss_bbox: 0.776923 loss_dfl: 0.536616 loss: 2.696906 eta: 2 days, 3:29:41 batch_cost: 1.1612 data_cost: 0.0022 ips: 34.4477 images/s
[07/27 08:05:12] ppdet.engine INFO: Epoch: [76] [ 40/732] learning_rate: 0.167458 loss_vfl: 1.376381 loss_bbox: 0.764571 loss_dfl: 0.536324 loss: 2.697702 eta: 2 days, 3:29:26 batch_cost: 1.2573 data_cost: 0.0072 ips: 31.8142 images/s
[07/27 08:05:39] ppdet.engine INFO: Epoch: [76] [ 60/732] learning_rate: 0.167435 loss_vfl: 1.340571 loss_bbox: 0.780840 loss_dfl: 0.532159 loss: 2.634760 eta: 2 days, 3:29:04 batch_cost: 1.1376 data_cost: 0.0058 ips: 35.1612 images/s
[07/27 08:06:06] ppdet.engine INFO: Epoch: [76] [ 80/732] learning_rate: 0.167413 loss_vfl: 1.320570 loss_bbox: 0.761853 loss_dfl: 0.522710 loss: 2.632264 eta: 2 days, 3:28:38 batch_cost: 1.0754 data_cost: 0.0053 ips: 37.1963 images/s
[07/27 08:06:35] ppdet.engine INFO: Epoch: [76] [100/732] learning_rate: 0.167390 loss_vfl: 1.360073 loss_bbox: 0.756798 loss_dfl: 0.521511 loss: 2.636938 eta: 2 days, 3:28:24 batch_cost: 1.2732 data_cost: 0.0077 ips: 31.4178 images/s
[07/27 08:07:02] ppdet.engine INFO: Epoch: [76] [120/732] learning_rate: 0.167368 loss_vfl: 1.288491 loss_bbox: 0.692116 loss_dfl: 0.480818 loss: 2.450197 eta: 2 days, 3:28:02 batch_cost: 1.1437 data_cost: 0.0058 ips: 34.9740 images/s
[07/27 08:07:29] ppdet.engine INFO: Epoch: [76] [140/732] learning_rate: 0.167345 loss_vfl: 1.259943 loss_bbox: 0.744150 loss_dfl: 0.512671 loss: 2.562183 eta: 2 days, 3:27:37 batch_cost: 1.0838 data_cost: 0.0033 ips: 36.9083 images/s
[07/27 08:07:55] ppdet.engine INFO: Epoch: [76] [160/732] learning_rate: 0.167323 loss_vfl: 1.336043 loss_bbox: 0.777533 loss_dfl: 0.528946 loss: 2.627388 eta: 2 days, 3:27:09 batch_cost: 1.0447 data_cost: 0.0033 ips: 38.2896 images/s
[07/27 08:08:23] ppdet.engine INFO: Epoch: [76] [180/732] learning_rate: 0.167300 loss_vfl: 1.348716 loss_bbox: 0.769878 loss_dfl: 0.533715 loss: 2.665677 eta: 2 days, 3:26:49 batch_cost: 1.1820 data_cost: 0.0108 ips: 33.8411 images/s
[07/27 08:08:49] ppdet.engine INFO: Epoch: [76] [200/732] learning_rate: 0.167278 loss_vfl: 1.325796 loss_bbox: 0.775624 loss_dfl: 0.531918 loss: 2.648489 eta: 2 days, 3:26:24 batch_cost: 1.0930 data_cost: 0.0102 ips: 36.5974 images/s
[07/27 08:09:18] ppdet.engine INFO: Epoch: [76] [220/732] learning_rate: 0.167255 loss_vfl: 1.284082 loss_bbox: 0.755195 loss_dfl: 0.511918 loss: 2.548645 eta: 2 days, 3:26:02 batch_cost: 1.1251 data_cost: 0.0029 ips: 35.5529 images/s
[07/27 08:09:45] ppdet.engine INFO: Epoch: [76] [240/732] learning_rate: 0.167233 loss_vfl: 1.274791 loss_bbox: 0.739942 loss_dfl: 0.515427 loss: 2.581674 eta: 2 days, 3:25:38 batch_cost: 1.1170 data_cost: 0.0061 ips: 35.8107 images/s
[07/27 08:10:12] ppdet.engine INFO: Epoch: [76] [260/732] learning_rate: 0.167210 loss_vfl: 1.399523 loss_bbox: 0.782121 loss_dfl: 0.548282 loss: 2.735123 eta: 2 days, 3:25:19 batch_cost: 1.1831 data_cost: 0.0058 ips: 33.8095 images/s
[07/27 08:10:38] ppdet.engine INFO: Epoch: [76] [280/732] learning_rate: 0.167188 loss_vfl: 1.315395 loss_bbox: 0.753199 loss_dfl: 0.522732 loss: 2.583962 eta: 2 days, 3:24:54 batch_cost: 1.1054 data_cost: 0.0061 ips: 36.1867 images/s
[07/27 08:11:07] ppdet.engine INFO: Epoch: [76] [300/732] learning_rate: 0.167165 loss_vfl: 1.320787 loss_bbox: 0.754948 loss_dfl: 0.522878 loss: 2.600245 eta: 2 days, 3:24:43 batch_cost: 1.3161 data_cost: 0.0045 ips: 30.3923 images/s
[07/27 08:11:34] ppdet.engine INFO: Epoch: [76] [320/732] learning_rate: 0.167142 loss_vfl: 1.346919 loss_bbox: 0.745750 loss_dfl: 0.520020 loss: 2.570350 eta: 2 days, 3:24:20 batch_cost: 1.1297 data_cost: 0.0046 ips: 35.4074 images/s
[07/27 08:12:00] ppdet.engine INFO: Epoch: [76] [340/732] learning_rate: 0.167120 loss_vfl: 1.370439 loss_bbox: 0.747719 loss_dfl: 0.525256 loss: 2.643414 eta: 2 days, 3:23:50 batch_cost: 1.0131 data_cost: 0.0085 ips: 39.4832 images/s
[07/27 08:12:27] ppdet.engine INFO: Epoch: [76] [360/732] learning_rate: 0.167097 loss_vfl: 1.295549 loss_bbox: 0.758396 loss_dfl: 0.516964 loss: 2.542465 eta: 2 days, 3:23:31 batch_cost: 1.1796 data_cost: 0.0097 ips: 33.9093 images/s
[07/27 08:12:53] ppdet.engine INFO: Epoch: [76] [380/732] learning_rate: 0.167075 loss_vfl: 1.340352 loss_bbox: 0.761860 loss_dfl: 0.529958 loss: 2.632170 eta: 2 days, 3:23:04 batch_cost: 1.0618 data_cost: 0.0077 ips: 37.6715 images/s
[07/27 08:13:20] ppdet.engine INFO: Epoch: [76] [400/732] learning_rate: 0.167052 loss_vfl: 1.314907 loss_bbox: 0.752036 loss_dfl: 0.512908 loss: 2.564094 eta: 2 days, 3:22:43 batch_cost: 1.1524 data_cost: 0.0152 ips: 34.7115 images/s
[07/27 08:13:46] ppdet.engine INFO: Epoch: [76] [420/732] learning_rate: 0.167030 loss_vfl: 1.341088 loss_bbox: 0.735212 loss_dfl: 0.509334 loss: 2.573695 eta: 2 days, 3:22:20 batch_cost: 1.1302 data_cost: 0.0035 ips: 35.3933 images/s
[07/27 08:14:13] ppdet.engine INFO: Epoch: [76] [440/732] learning_rate: 0.167007 loss_vfl: 1.287019 loss_bbox: 0.737645 loss_dfl: 0.511628 loss: 2.508228 eta: 2 days, 3:21:55 batch_cost: 1.0867 data_cost: 0.0054 ips: 36.8101 images/s
[07/27 08:14:39] ppdet.engine INFO: Epoch: [76] [460/732] learning_rate: 0.166984 loss_vfl: 1.307222 loss_bbox: 0.759501 loss_dfl: 0.526125 loss: 2.590787 eta: 2 days, 3:21:29 batch_cost: 1.0786 data_cost: 0.0012 ips: 37.0850 images/s
[07/27 08:15:07] ppdet.engine INFO: Epoch: [76] [480/732] learning_rate: 0.166962 loss_vfl: 1.295974 loss_bbox: 0.755772 loss_dfl: 0.515285 loss: 2.588627 eta: 2 days, 3:21:11 batch_cost: 1.2056 data_cost: 0.0066 ips: 33.1794 images/s
[07/27 08:15:33] ppdet.engine INFO: Epoch: [76] [500/732] learning_rate: 0.166939 loss_vfl: 1.304040 loss_bbox: 0.783617 loss_dfl: 0.538651 loss: 2.639825 eta: 2 days, 3:20:42 batch_cost: 1.0229 data_cost: 0.0012 ips: 39.1033 images/s
[07/27 08:16:00] ppdet.engine INFO: Epoch: [76] [520/732] learning_rate: 0.166916 loss_vfl: 1.456046 loss_bbox: 0.849341 loss_dfl: 0.585919 loss: 2.910695 eta: 2 days, 3:20:15 batch_cost: 1.0489 data_cost: 0.0115 ips: 38.1362 images/s
[07/27 08:16:27] ppdet.engine INFO: Epoch: [76] [540/732] learning_rate: 0.166894 loss_vfl: 1.365848 loss_bbox: 0.762861 loss_dfl: 0.537019 loss: 2.696226 eta: 2 days, 3:19:52 batch_cost: 1.1327 data_cost: 0.0068 ips: 35.3139 images/s
[07/27 08:16:56] ppdet.engine INFO: Epoch: [76] [560/732] learning_rate: 0.166871 loss_vfl: 1.274426 loss_bbox: 0.744528 loss_dfl: 0.515622 loss: 2.547033 eta: 2 days, 3:19:36 batch_cost: 1.2412 data_cost: 0.0066 ips: 32.2262 images/s
[07/27 08:17:23] ppdet.engine INFO: Epoch: [76] [580/732] learning_rate: 0.166849 loss_vfl: 1.326348 loss_bbox: 0.737816 loss_dfl: 0.502773 loss: 2.566863 eta: 2 days, 3:19:12 batch_cost: 1.1061 data_cost: 0.0057 ips: 36.1623 images/s
[07/27 08:17:50] ppdet.engine INFO: Epoch: [76] [600/732] learning_rate: 0.166826 loss_vfl: 1.374905 loss_bbox: 0.768726 loss_dfl: 0.532892 loss: 2.684686 eta: 2 days, 3:18:49 batch_cost: 1.1214 data_cost: 0.0037 ips: 35.6687 images/s
[07/27 08:18:18] ppdet.engine INFO: Epoch: [76] [620/732] learning_rate: 0.166803 loss_vfl: 1.242039 loss_bbox: 0.692415 loss_dfl: 0.477055 loss: 2.404257 eta: 2 days, 3:18:26 batch_cost: 1.1344 data_cost: 0.0059 ips: 35.2614 images/s
[07/27 08:18:44] ppdet.engine INFO: Epoch: [76] [640/732] learning_rate: 0.166781 loss_vfl: 1.300875 loss_bbox: 0.714292 loss_dfl: 0.503531 loss: 2.523832 eta: 2 days, 3:18:04 batch_cost: 1.1265 data_cost: 0.0041 ips: 35.5097 images/s
[07/27 08:19:13] ppdet.engine INFO: Epoch: [76] [660/732] learning_rate: 0.166758 loss_vfl: 1.287599 loss_bbox: 0.745602 loss_dfl: 0.506274 loss: 2.524345 eta: 2 days, 3:17:45 batch_cost: 1.1966 data_cost: 0.0017 ips: 33.4293 images/s
[07/27 08:19:39] ppdet.engine INFO: Epoch: [76] [680/732] learning_rate: 0.166735 loss_vfl: 1.320173 loss_bbox: 0.741356 loss_dfl: 0.508850 loss: 2.544218 eta: 2 days, 3:17:21 batch_cost: 1.1033 data_cost: 0.0132 ips: 36.2540 images/s
[07/27 08:20:07] ppdet.engine INFO: Epoch: [76] [700/732] learning_rate: 0.166713 loss_vfl: 1.320629 loss_bbox: 0.709706 loss_dfl: 0.505422 loss: 2.552908 eta: 2 days, 3:17:03 batch_cost: 1.2149 data_cost: 0.0036 ips: 32.9258 images/s
[07/27 08:20:35] ppdet.engine INFO: Epoch: [76] [720/732] learning_rate: 0.166690 loss_vfl: 1.295599 loss_bbox: 0.728191 loss_dfl: 0.503106 loss: 2.526978 eta: 2 days, 3:16:46 batch_cost: 1.2399 data_cost: 0.0062 ips: 32.2603 images/s
[07/27 08:21:01] ppdet.engine INFO: Epoch: [77] [  0/732] learning_rate: 0.166676 loss_vfl: 1.281482 loss_bbox: 0.732408 loss_dfl: 0.512922 loss: 2.539509 eta: 2 days, 3:16:59 batch_cost: 1.6282 data_cost: 0.5816 ips: 24.5677 images/s
[07/27 08:21:30] ppdet.engine INFO: Epoch: [77] [ 20/732] learning_rate: 0.166654 loss_vfl: 1.325743 loss_bbox: 0.768040 loss_dfl: 0.530531 loss: 2.625484 eta: 2 days, 3:16:36 batch_cost: 1.1177 data_cost: 0.0048 ips: 35.7875 images/s
[07/27 08:21:57] ppdet.engine INFO: Epoch: [77] [ 40/732] learning_rate: 0.166631 loss_vfl: 1.333354 loss_bbox: 0.764564 loss_dfl: 0.519768 loss: 2.609605 eta: 2 days, 3:16:10 batch_cost: 1.0678 data_cost: 0.0096 ips: 37.4610 images/s
[07/27 08:22:23] ppdet.engine INFO: Epoch: [77] [ 60/732] learning_rate: 0.166608 loss_vfl: 1.374211 loss_bbox: 0.794634 loss_dfl: 0.540298 loss: 2.718027 eta: 2 days, 3:15:45 batch_cost: 1.0875 data_cost: 0.0091 ips: 36.7805 images/s
[07/27 08:22:51] ppdet.engine INFO: Epoch: [77] [ 80/732] learning_rate: 0.166585 loss_vfl: 1.388206 loss_bbox: 0.780341 loss_dfl: 0.541874 loss: 2.738716 eta: 2 days, 3:15:23 batch_cost: 1.1571 data_cost: 0.0119 ips: 34.5701 images/s
[07/27 08:23:17] ppdet.engine INFO: Epoch: [77] [100/732] learning_rate: 0.166563 loss_vfl: 1.329845 loss_bbox: 0.733547 loss_dfl: 0.510992 loss: 2.602029 eta: 2 days, 3:15:01 batch_cost: 1.1311 data_cost: 0.0063 ips: 35.3632 images/s
[07/27 08:23:45] ppdet.engine INFO: Epoch: [77] [120/732] learning_rate: 0.166540 loss_vfl: 1.332837 loss_bbox: 0.759181 loss_dfl: 0.535696 loss: 2.641606 eta: 2 days, 3:14:38 batch_cost: 1.1292 data_cost: 0.0112 ips: 35.4235 images/s
[07/27 08:24:11] ppdet.engine INFO: Epoch: [77] [140/732] learning_rate: 0.166517 loss_vfl: 1.347927 loss_bbox: 0.770688 loss_dfl: 0.514340 loss: 2.609146 eta: 2 days, 3:14:13 batch_cost: 1.0945 data_cost: 0.0085 ips: 36.5466 images/s
[07/27 08:24:38] ppdet.engine INFO: Epoch: [77] [160/732] learning_rate: 0.166494 loss_vfl: 1.299527 loss_bbox: 0.713467 loss_dfl: 0.501639 loss: 2.501287 eta: 2 days, 3:13:49 batch_cost: 1.0933 data_cost: 0.0060 ips: 36.5854 images/s
[07/27 08:25:04] ppdet.engine INFO: Epoch: [77] [180/732] learning_rate: 0.166472 loss_vfl: 1.329823 loss_bbox: 0.762747 loss_dfl: 0.518954 loss: 2.569314 eta: 2 days, 3:13:23 batch_cost: 1.0717 data_cost: 0.0082 ips: 37.3245 images/s
[07/27 08:25:31] ppdet.engine INFO: Epoch: [77] [200/732] learning_rate: 0.166449 loss_vfl: 1.301910 loss_bbox: 0.722304 loss_dfl: 0.505678 loss: 2.575078 eta: 2 days, 3:13:03 batch_cost: 1.1835 data_cost: 0.0055 ips: 33.7980 images/s
[07/27 08:25:58] ppdet.engine INFO: Epoch: [77] [220/732] learning_rate: 0.166426 loss_vfl: 1.315443 loss_bbox: 0.753251 loss_dfl: 0.516190 loss: 2.595204 eta: 2 days, 3:12:38 batch_cost: 1.0840 data_cost: 0.0041 ips: 36.9017 images/s
[07/27 08:26:25] ppdet.engine INFO: Epoch: [77] [240/732] learning_rate: 0.166403 loss_vfl: 1.265590 loss_bbox: 0.732958 loss_dfl: 0.522024 loss: 2.579291 eta: 2 days, 3:12:13 batch_cost: 1.0971 data_cost: 0.0112 ips: 36.4593 images/s
[07/27 08:26:50] ppdet.engine INFO: Epoch: [77] [260/732] learning_rate: 0.166381 loss_vfl: 1.338630 loss_bbox: 0.761610 loss_dfl: 0.533575 loss: 2.623781 eta: 2 days, 3:11:46 batch_cost: 1.0500 data_cost: 0.0068 ips: 38.0956 images/s
[07/27 08:27:20] ppdet.engine INFO: Epoch: [77] [280/732] learning_rate: 0.166358 loss_vfl: 1.325776 loss_bbox: 0.758311 loss_dfl: 0.528590 loss: 2.646131 eta: 2 days, 3:11:31 batch_cost: 1.2587 data_cost: 0.0061 ips: 31.7795 images/s
[07/27 08:27:47] ppdet.engine INFO: Epoch: [77] [300/732] learning_rate: 0.166335 loss_vfl: 1.329635 loss_bbox: 0.733072 loss_dfl: 0.504355 loss: 2.528867 eta: 2 days, 3:11:10 batch_cost: 1.1730 data_cost: 0.0023 ips: 34.1019 images/s
[07/27 08:28:15] ppdet.engine INFO: Epoch: [77] [320/732] learning_rate: 0.166312 loss_vfl: 1.231407 loss_bbox: 0.711434 loss_dfl: 0.488713 loss: 2.418239 eta: 2 days, 3:10:51 batch_cost: 1.1940 data_cost: 0.0191 ips: 33.5005 images/s
[07/27 08:28:41] ppdet.engine INFO: Epoch: [77] [340/732] learning_rate: 0.166290 loss_vfl: 1.362358 loss_bbox: 0.784807 loss_dfl: 0.545542 loss: 2.695068 eta: 2 days, 3:10:27 batch_cost: 1.1067 data_cost: 0.0024 ips: 36.1428 images/s
[07/27 08:29:09] ppdet.engine INFO: Epoch: [77] [360/732] learning_rate: 0.166267 loss_vfl: 1.351602 loss_bbox: 0.767693 loss_dfl: 0.531172 loss: 2.671294 eta: 2 days, 3:10:03 batch_cost: 1.0979 data_cost: 0.0096 ips: 36.4340 images/s
[07/27 08:29:35] ppdet.engine INFO: Epoch: [77] [380/732] learning_rate: 0.166244 loss_vfl: 1.350997 loss_bbox: 0.787304 loss_dfl: 0.541434 loss: 2.689724 eta: 2 days, 3:09:37 batch_cost: 1.0769 data_cost: 0.0029 ips: 37.1436 images/s
[07/27 08:30:01] ppdet.engine INFO: Epoch: [77] [400/732] learning_rate: 0.166221 loss_vfl: 1.331288 loss_bbox: 0.757999 loss_dfl: 0.527658 loss: 2.629596 eta: 2 days, 3:09:12 batch_cost: 1.0910 data_cost: 0.0097 ips: 36.6626 images/s
[07/27 08:30:27] ppdet.engine INFO: Epoch: [77] [420/732] learning_rate: 0.166198 loss_vfl: 1.308289 loss_bbox: 0.744265 loss_dfl: 0.519957 loss: 2.575203 eta: 2 days, 3:08:45 batch_cost: 1.0533 data_cost: 0.0048 ips: 37.9764 images/s
[07/27 08:30:55] ppdet.engine INFO: Epoch: [77] [440/732] learning_rate: 0.166175 loss_vfl: 1.310638 loss_bbox: 0.745329 loss_dfl: 0.517068 loss: 2.564135 eta: 2 days, 3:08:26 batch_cost: 1.1877 data_cost: 0.0034 ips: 33.6780 images/s
[07/27 08:31:21] ppdet.engine INFO: Epoch: [77] [460/732] learning_rate: 0.166153 loss_vfl: 1.322641 loss_bbox: 0.756293 loss_dfl: 0.533936 loss: 2.621448 eta: 2 days, 3:08:03 batch_cost: 1.1223 data_cost: 0.0036 ips: 35.6423 images/s
[07/27 08:31:47] ppdet.engine INFO: Epoch: [77] [480/732] learning_rate: 0.166130 loss_vfl: 1.394080 loss_bbox: 0.783182 loss_dfl: 0.547049 loss: 2.746117 eta: 2 days, 3:07:34 batch_cost: 1.0274 data_cost: 0.0066 ips: 38.9344 images/s
[07/27 08:32:15] ppdet.engine INFO: Epoch: [77] [500/732] learning_rate: 0.166107 loss_vfl: 1.322330 loss_bbox: 0.743528 loss_dfl: 0.513504 loss: 2.576054 eta: 2 days, 3:07:10 batch_cost: 1.1073 data_cost: 0.0072 ips: 36.1238 images/s
[07/27 08:32:40] ppdet.engine INFO: Epoch: [77] [520/732] learning_rate: 0.166084 loss_vfl: 1.379020 loss_bbox: 0.789923 loss_dfl: 0.537710 loss: 2.657445 eta: 2 days, 3:06:42 batch_cost: 1.0263 data_cost: 0.0034 ips: 38.9765 images/s
[07/27 08:33:07] ppdet.engine INFO: Epoch: [77] [540/732] learning_rate: 0.166061 loss_vfl: 1.365275 loss_bbox: 0.780724 loss_dfl: 0.539791 loss: 2.685410 eta: 2 days, 3:06:16 batch_cost: 1.0841 data_cost: 0.0053 ips: 36.8980 images/s
[07/27 08:33:32] ppdet.engine INFO: Epoch: [77] [560/732] learning_rate: 0.166038 loss_vfl: 1.353565 loss_bbox: 0.799276 loss_dfl: 0.541065 loss: 2.720185 eta: 2 days, 3:05:47 batch_cost: 1.0196 data_cost: 0.0088 ips: 39.2325 images/s
[07/27 08:33:59] ppdet.engine INFO: Epoch: [77] [580/732] learning_rate: 0.166016 loss_vfl: 1.387772 loss_bbox: 0.779669 loss_dfl: 0.530209 loss: 2.698454 eta: 2 days, 3:05:26 batch_cost: 1.1506 data_cost: 0.0111 ips: 34.7654 images/s
[07/27 08:34:24] ppdet.engine INFO: Epoch: [77] [600/732] learning_rate: 0.165993 loss_vfl: 1.287138 loss_bbox: 0.728749 loss_dfl: 0.509615 loss: 2.500599 eta: 2 days, 3:04:58 batch_cost: 1.0380 data_cost: 0.0051 ips: 38.5341 images/s
[07/27 08:34:51] ppdet.engine INFO: Epoch: [77] [620/732] learning_rate: 0.165970 loss_vfl: 1.353494 loss_bbox: 0.768317 loss_dfl: 0.537814 loss: 2.690905 eta: 2 days, 3:04:33 batch_cost: 1.0991 data_cost: 0.0031 ips: 36.3938 images/s
[07/27 08:35:16] ppdet.engine INFO: Epoch: [77] [640/732] learning_rate: 0.165947 loss_vfl: 1.317358 loss_bbox: 0.759656 loss_dfl: 0.533446 loss: 2.621389 eta: 2 days, 3:04:08 batch_cost: 1.0820 data_cost: 0.0153 ips: 36.9693 images/s
[07/27 08:35:43] ppdet.engine INFO: Epoch: [77] [660/732] learning_rate: 0.165924 loss_vfl: 1.271619 loss_bbox: 0.749619 loss_dfl: 0.514367 loss: 2.508551 eta: 2 days, 3:03:44 batch_cost: 1.0997 data_cost: 0.0091 ips: 36.3723 images/s
[07/27 08:36:09] ppdet.engine INFO: Epoch: [77] [680/732] learning_rate: 0.165901 loss_vfl: 1.298644 loss_bbox: 0.745328 loss_dfl: 0.513550 loss: 2.550153 eta: 2 days, 3:03:20 batch_cost: 1.1035 data_cost: 0.0030 ips: 36.2472 images/s
[07/27 08:36:35] ppdet.engine INFO: Epoch: [77] [700/732] learning_rate: 0.165878 loss_vfl: 1.334174 loss_bbox: 0.754969 loss_dfl: 0.520823 loss: 2.614401 eta: 2 days, 3:02:51 batch_cost: 1.0262 data_cost: 0.0070 ips: 38.9802 images/s
[07/27 08:37:01] ppdet.engine INFO: Epoch: [77] [720/732] learning_rate: 0.165855 loss_vfl: 1.327677 loss_bbox: 0.736319 loss_dfl: 0.522411 loss: 2.603207 eta: 2 days, 3:02:23 batch_cost: 1.0319 data_cost: 0.0079 ips: 38.7631 images/s
[07/27 08:37:24] ppdet.engine INFO: Epoch: [78] [  0/732] learning_rate: 0.165842 loss_vfl: 1.265186 loss_bbox: 0.715472 loss_dfl: 0.495838 loss: 2.454862 eta: 2 days, 3:02:28 batch_cost: 1.4384 data_cost: 0.2769 ips: 27.8082 images/s
[07/27 08:37:53] ppdet.engine INFO: Epoch: [78] [ 20/732] learning_rate: 0.165819 loss_vfl: 1.287446 loss_bbox: 0.777128 loss_dfl: 0.526748 loss: 2.562579 eta: 2 days, 3:02:10 batch_cost: 1.2141 data_cost: 0.0038 ips: 32.9450 images/s
[07/27 08:38:19] ppdet.engine INFO: Epoch: [78] [ 40/732] learning_rate: 0.165796 loss_vfl: 1.315443 loss_bbox: 0.734706 loss_dfl: 0.522957 loss: 2.596328 eta: 2 days, 3:01:45 batch_cost: 1.0877 data_cost: 0.0094 ips: 36.7733 images/s
[07/27 08:38:46] ppdet.engine INFO: Epoch: [78] [ 60/732] learning_rate: 0.165773 loss_vfl: 1.380849 loss_bbox: 0.762892 loss_dfl: 0.520798 loss: 2.623878 eta: 2 days, 3:01:20 batch_cost: 1.0884 data_cost: 0.0039 ips: 36.7528 images/s
[07/27 08:39:13] ppdet.engine INFO: Epoch: [78] [ 80/732] learning_rate: 0.165750 loss_vfl: 1.325541 loss_bbox: 0.734402 loss_dfl: 0.513968 loss: 2.564168 eta: 2 days, 3:01:00 batch_cost: 1.1783 data_cost: 0.0054 ips: 33.9472 images/s
[07/27 08:39:41] ppdet.engine INFO: Epoch: [78] [100/732] learning_rate: 0.165727 loss_vfl: 1.302859 loss_bbox: 0.732237 loss_dfl: 0.518893 loss: 2.580867 eta: 2 days, 3:00:38 batch_cost: 1.1481 data_cost: 0.0028 ips: 34.8400 images/s
[07/27 08:40:06] ppdet.engine INFO: Epoch: [78] [120/732] learning_rate: 0.165704 loss_vfl: 1.321367 loss_bbox: 0.749768 loss_dfl: 0.515125 loss: 2.589320 eta: 2 days, 3:00:10 batch_cost: 1.0223 data_cost: 0.0054 ips: 39.1272 images/s
[07/27 08:40:33] ppdet.engine INFO: Epoch: [78] [140/732] learning_rate: 0.165681 loss_vfl: 1.370606 loss_bbox: 0.784509 loss_dfl: 0.532857 loss: 2.713413 eta: 2 days, 2:59:46 batch_cost: 1.1166 data_cost: 0.0030 ips: 35.8246 images/s
[07/27 08:41:00] ppdet.engine INFO: Epoch: [78] [160/732] learning_rate: 0.165658 loss_vfl: 1.315509 loss_bbox: 0.767202 loss_dfl: 0.516786 loss: 2.575384 eta: 2 days, 2:59:22 batch_cost: 1.0997 data_cost: 0.0094 ips: 36.3749 images/s
[07/27 08:41:26] ppdet.engine INFO: Epoch: [78] [180/732] learning_rate: 0.165635 loss_vfl: 1.341962 loss_bbox: 0.753921 loss_dfl: 0.526711 loss: 2.661734 eta: 2 days, 2:58:58 batch_cost: 1.1178 data_cost: 0.0068 ips: 35.7853 images/s
[07/27 08:41:53] ppdet.engine INFO: Epoch: [78] [200/732] learning_rate: 0.165612 loss_vfl: 1.347184 loss_bbox: 0.788183 loss_dfl: 0.545166 loss: 2.691039 eta: 2 days, 2:58:39 batch_cost: 1.1807 data_cost: 0.0074 ips: 33.8793 images/s
[07/27 08:42:19] ppdet.engine INFO: Epoch: [78] [220/732] learning_rate: 0.165589 loss_vfl: 1.350927 loss_bbox: 0.747879 loss_dfl: 0.525521 loss: 2.611712 eta: 2 days, 2:58:12 batch_cost: 1.0534 data_cost: 0.0113 ips: 37.9716 images/s
[07/27 08:42:46] ppdet.engine INFO: Epoch: [78] [240/732] learning_rate: 0.165566 loss_vfl: 1.314072 loss_bbox: 0.745465 loss_dfl: 0.514364 loss: 2.573548 eta: 2 days, 2:57:51 batch_cost: 1.1611 data_cost: 0.0119 ips: 34.4514 images/s
[07/27 08:43:12] ppdet.engine INFO: Epoch: [78] [260/732] learning_rate: 0.165543 loss_vfl: 1.349872 loss_bbox: 0.755780 loss_dfl: 0.527431 loss: 2.584675 eta: 2 days, 2:57:26 batch_cost: 1.0911 data_cost: 0.0055 ips: 36.6614 images/s
[07/27 08:43:38] ppdet.engine INFO: Epoch: [78] [280/732] learning_rate: 0.165520 loss_vfl: 1.288921 loss_bbox: 0.740324 loss_dfl: 0.501472 loss: 2.531713 eta: 2 days, 2:57:01 batch_cost: 1.0963 data_cost: 0.0043 ips: 36.4874 images/s
[07/27 08:44:05] ppdet.engine INFO: Epoch: [78] [300/732] learning_rate: 0.165497 loss_vfl: 1.333114 loss_bbox: 0.765088 loss_dfl: 0.531843 loss: 2.628968 eta: 2 days, 2:56:37 batch_cost: 1.1045 data_cost: 0.0069 ips: 36.2168 images/s
[07/27 08:44:31] ppdet.engine INFO: Epoch: [78] [320/732] learning_rate: 0.165474 loss_vfl: 1.331269 loss_bbox: 0.756477 loss_dfl: 0.523138 loss: 2.608768 eta: 2 days, 2:56:13 batch_cost: 1.1007 data_cost: 0.0117 ips: 36.3409 images/s
[07/27 08:44:58] ppdet.engine INFO: Epoch: [78] [340/732] learning_rate: 0.165451 loss_vfl: 1.366719 loss_bbox: 0.784231 loss_dfl: 0.541466 loss: 2.688048 eta: 2 days, 2:55:49 batch_cost: 1.1102 data_cost: 0.0033 ips: 36.0310 images/s
[07/27 08:45:25] ppdet.engine INFO: Epoch: [78] [360/732] learning_rate: 0.165428 loss_vfl: 1.302881 loss_bbox: 0.745624 loss_dfl: 0.525207 loss: 2.593657 eta: 2 days, 2:55:25 batch_cost: 1.1042 data_cost: 0.0075 ips: 36.2254 images/s
[07/27 08:45:53] ppdet.engine INFO: Epoch: [78] [380/732] learning_rate: 0.165405 loss_vfl: 1.371932 loss_bbox: 0.758011 loss_dfl: 0.528049 loss: 2.652681 eta: 2 days, 2:55:03 batch_cost: 1.1384 data_cost: 0.0010 ips: 35.1383 images/s
[07/27 08:46:21] ppdet.engine INFO: Epoch: [78] [400/732] learning_rate: 0.165382 loss_vfl: 1.313008 loss_bbox: 0.772524 loss_dfl: 0.528340 loss: 2.608479 eta: 2 days, 2:54:40 batch_cost: 1.1252 data_cost: 0.0087 ips: 35.5498 images/s
[07/27 08:46:47] ppdet.engine INFO: Epoch: [78] [420/732] learning_rate: 0.165359 loss_vfl: 1.363427 loss_bbox: 0.761549 loss_dfl: 0.523881 loss: 2.656535 eta: 2 days, 2:54:16 batch_cost: 1.1056 data_cost: 0.0033 ips: 36.1795 images/s
[07/27 08:47:13] ppdet.engine INFO: Epoch: [78] [440/732] learning_rate: 0.165336 loss_vfl: 1.292946 loss_bbox: 0.742771 loss_dfl: 0.502169 loss: 2.522997 eta: 2 days, 2:53:51 batch_cost: 1.0819 data_cost: 0.0071 ips: 36.9730 images/s
[07/27 08:47:39] ppdet.engine INFO: Epoch: [78] [460/732] learning_rate: 0.165313 loss_vfl: 1.271913 loss_bbox: 0.718390 loss_dfl: 0.504764 loss: 2.518695 eta: 2 days, 2:53:28 batch_cost: 1.1291 data_cost: 0.0073 ips: 35.4259 images/s
[07/27 08:48:05] ppdet.engine INFO: Epoch: [78] [480/732] learning_rate: 0.165290 loss_vfl: 1.296235 loss_bbox: 0.742991 loss_dfl: 0.508548 loss: 2.532575 eta: 2 days, 2:53:01 batch_cost: 1.0520 data_cost: 0.0047 ips: 38.0236 images/s
[07/27 08:48:31] ppdet.engine INFO: Epoch: [78] [500/732] learning_rate: 0.165267 loss_vfl: 1.327142 loss_bbox: 0.770970 loss_dfl: 0.531154 loss: 2.653294 eta: 2 days, 2:52:33 batch_cost: 1.0396 data_cost: 0.0054 ips: 38.4782 images/s
[07/27 08:48:57] ppdet.engine INFO: Epoch: [78] [520/732] learning_rate: 0.165244 loss_vfl: 1.300841 loss_bbox: 0.741069 loss_dfl: 0.509230 loss: 2.538628 eta: 2 days, 2:52:08 batch_cost: 1.0860 data_cost: 0.0104 ips: 36.8319 images/s
[07/27 08:49:23] ppdet.engine INFO: Epoch: [78] [540/732] learning_rate: 0.165221 loss_vfl: 1.371239 loss_bbox: 0.745950 loss_dfl: 0.529300 loss: 2.652065 eta: 2 days, 2:51:44 batch_cost: 1.1109 data_cost: 0.0063 ips: 36.0082 images/s
[07/27 08:49:49] ppdet.engine INFO: Epoch: [78] [560/732] learning_rate: 0.165198 loss_vfl: 1.298546 loss_bbox: 0.728927 loss_dfl: 0.507232 loss: 2.527746 eta: 2 days, 2:51:19 batch_cost: 1.0807 data_cost: 0.0044 ips: 37.0121 images/s
[07/27 08:50:15] ppdet.engine INFO: Epoch: [78] [580/732] learning_rate: 0.165175 loss_vfl: 1.337143 loss_bbox: 0.762007 loss_dfl: 0.523441 loss: 2.635036 eta: 2 days, 2:50:55 batch_cost: 1.1023 data_cost: 0.0052 ips: 36.2888 images/s
[07/27 08:50:41] ppdet.engine INFO: Epoch: [78] [600/732] learning_rate: 0.165152 loss_vfl: 1.333768 loss_bbox: 0.761805 loss_dfl: 0.517703 loss: 2.598113 eta: 2 days, 2:50:28 batch_cost: 1.0600 data_cost: 0.0060 ips: 37.7371 images/s
[07/27 08:51:08] ppdet.engine INFO: Epoch: [78] [620/732] learning_rate: 0.165128 loss_vfl: 1.351330 loss_bbox: 0.747594 loss_dfl: 0.519109 loss: 2.611905 eta: 2 days, 2:50:01 batch_cost: 1.0571 data_cost: 0.0042 ips: 37.8384 images/s
[07/27 08:51:34] ppdet.engine INFO: Epoch: [78] [640/732] learning_rate: 0.165105 loss_vfl: 1.354460 loss_bbox: 0.795049 loss_dfl: 0.546880 loss: 2.718377 eta: 2 days, 2:49:38 batch_cost: 1.1223 data_cost: 0.0040 ips: 35.6406 images/s
[07/27 08:52:00] ppdet.engine INFO: Epoch: [78] [660/732] learning_rate: 0.165082 loss_vfl: 1.311782 loss_bbox: 0.767269 loss_dfl: 0.528267 loss: 2.591758 eta: 2 days, 2:49:10 batch_cost: 1.0345 data_cost: 0.0136 ips: 38.6648 images/s
[07/27 08:52:28] ppdet.engine INFO: Epoch: [78] [680/732] learning_rate: 0.165059 loss_vfl: 1.338912 loss_bbox: 0.760283 loss_dfl: 0.524601 loss: 2.628389 eta: 2 days, 2:48:50 batch_cost: 1.1679 data_cost: 0.0039 ips: 34.2486 images/s
[07/27 08:52:53] ppdet.engine INFO: Epoch: [78] [700/732] learning_rate: 0.165036 loss_vfl: 1.309738 loss_bbox: 0.755868 loss_dfl: 0.519021 loss: 2.572955 eta: 2 days, 2:48:24 batch_cost: 1.0783 data_cost: 0.0049 ips: 37.0944 images/s
[07/27 08:53:20] ppdet.engine INFO: Epoch: [78] [720/732] learning_rate: 0.165013 loss_vfl: 1.346694 loss_bbox: 0.741837 loss_dfl: 0.529552 loss: 2.642547 eta: 2 days, 2:48:03 batch_cost: 1.1494 data_cost: 0.0067 ips: 34.8018 images/s
[07/27 08:53:43] ppdet.engine INFO: Epoch: [79] [  0/732] learning_rate: 0.164999 loss_vfl: 1.338813 loss_bbox: 0.746720 loss_dfl: 0.522920 loss: 2.629339 eta: 2 days, 2:48:08 batch_cost: 1.4387 data_cost: 0.3912 ips: 27.8038 images/s
[07/27 08:54:11] ppdet.engine INFO: Epoch: [79] [ 20/732] learning_rate: 0.164976 loss_vfl: 1.320704 loss_bbox: 0.759367 loss_dfl: 0.520436 loss: 2.640727 eta: 2 days, 2:47:46 batch_cost: 1.1495 data_cost: 0.0063 ips: 34.7980 images/s
[07/27 08:54:37] ppdet.engine INFO: Epoch: [79] [ 40/732] learning_rate: 0.164953 loss_vfl: 1.335229 loss_bbox: 0.741905 loss_dfl: 0.522838 loss: 2.649853 eta: 2 days, 2:47:19 batch_cost: 1.0481 data_cost: 0.0108 ips: 38.1651 images/s
[07/27 08:55:05] ppdet.engine INFO: Epoch: [79] [ 60/732] learning_rate: 0.164930 loss_vfl: 1.294170 loss_bbox: 0.742730 loss_dfl: 0.510334 loss: 2.550251 eta: 2 days, 2:46:56 batch_cost: 1.1265 data_cost: 0.0100 ips: 35.5075 images/s
[07/27 08:55:32] ppdet.engine INFO: Epoch: [79] [ 80/732] learning_rate: 0.164906 loss_vfl: 1.306728 loss_bbox: 0.752819 loss_dfl: 0.522882 loss: 2.607341 eta: 2 days, 2:46:34 batch_cost: 1.1351 data_cost: 0.0067 ips: 35.2389 images/s
[07/27 08:55:59] ppdet.engine INFO: Epoch: [79] [100/732] learning_rate: 0.164883 loss_vfl: 1.276621 loss_bbox: 0.716116 loss_dfl: 0.504338 loss: 2.509600 eta: 2 days, 2:46:13 batch_cost: 1.1736 data_cost: 0.0083 ips: 34.0821 images/s
[07/27 08:56:28] ppdet.engine INFO: Epoch: [79] [120/732] learning_rate: 0.164860 loss_vfl: 1.289210 loss_bbox: 0.749939 loss_dfl: 0.522090 loss: 2.580783 eta: 2 days, 2:45:56 batch_cost: 1.2171 data_cost: 0.0073 ips: 32.8658 images/s
[07/27 08:56:55] ppdet.engine INFO: Epoch: [79] [140/732] learning_rate: 0.164837 loss_vfl: 1.336982 loss_bbox: 0.712901 loss_dfl: 0.499266 loss: 2.538157 eta: 2 days, 2:45:32 batch_cost: 1.1040 data_cost: 0.0040 ips: 36.2311 images/s
[07/27 08:57:21] ppdet.engine INFO: Epoch: [79] [160/732] learning_rate: 0.164814 loss_vfl: 1.315505 loss_bbox: 0.755918 loss_dfl: 0.522727 loss: 2.605625 eta: 2 days, 2:45:06 batch_cost: 1.0856 data_cost: 0.0109 ips: 36.8473 images/s
[07/27 08:57:48] ppdet.engine INFO: Epoch: [79] [180/732] learning_rate: 0.164791 loss_vfl: 1.352989 loss_bbox: 0.776868 loss_dfl: 0.535364 loss: 2.641924 eta: 2 days, 2:44:47 batch_cost: 1.1803 data_cost: 0.0064 ips: 33.8893 images/s
[07/27 08:58:14] ppdet.engine INFO: Epoch: [79] [200/732] learning_rate: 0.164767 loss_vfl: 1.293585 loss_bbox: 0.752536 loss_dfl: 0.522838 loss: 2.579373 eta: 2 days, 2:44:18 batch_cost: 1.0324 data_cost: 0.0057 ips: 38.7443 images/s
[07/27 08:58:41] ppdet.engine INFO: Epoch: [79] [220/732] learning_rate: 0.164744 loss_vfl: 1.355262 loss_bbox: 0.742301 loss_dfl: 0.519499 loss: 2.590138 eta: 2 days, 2:43:54 batch_cost: 1.1023 data_cost: 0.0072 ips: 36.2866 images/s
[07/27 08:59:08] ppdet.engine INFO: Epoch: [79] [240/732] learning_rate: 0.164721 loss_vfl: 1.326652 loss_bbox: 0.743157 loss_dfl: 0.522514 loss: 2.621047 eta: 2 days, 2:43:29 batch_cost: 1.0794 data_cost: 0.0172 ips: 37.0570 images/s
[07/27 08:59:34] ppdet.engine INFO: Epoch: [79] [260/732] learning_rate: 0.164698 loss_vfl: 1.332373 loss_bbox: 0.741536 loss_dfl: 0.516542 loss: 2.595373 eta: 2 days, 2:43:06 batch_cost: 1.1194 data_cost: 0.0042 ips: 35.7324 images/s
[07/27 09:00:00] ppdet.engine INFO: Epoch: [79] [280/732] learning_rate: 0.164675 loss_vfl: 1.347959 loss_bbox: 0.779880 loss_dfl: 0.532196 loss: 2.663175 eta: 2 days, 2:42:40 batch_cost: 1.0757 data_cost: 0.0071 ips: 37.1841 images/s
[07/27 09:00:26] ppdet.engine INFO: Epoch: [79] [300/732] learning_rate: 0.164651 loss_vfl: 1.290067 loss_bbox: 0.742167 loss_dfl: 0.506173 loss: 2.551977 eta: 2 days, 2:42:16 batch_cost: 1.1041 data_cost: 0.0087 ips: 36.2281 images/s
[07/27 09:00:54] ppdet.engine INFO: Epoch: [79] [320/732] learning_rate: 0.164628 loss_vfl: 1.335317 loss_bbox: 0.760030 loss_dfl: 0.530464 loss: 2.616962 eta: 2 days, 2:41:54 batch_cost: 1.1411 data_cost: 0.0081 ips: 35.0552 images/s
[07/27 09:01:22] ppdet.engine INFO: Epoch: [79] [340/732] learning_rate: 0.164605 loss_vfl: 1.308942 loss_bbox: 0.737127 loss_dfl: 0.510692 loss: 2.555753 eta: 2 days, 2:41:35 batch_cost: 1.2064 data_cost: 0.0057 ips: 33.1579 images/s
[07/27 09:01:48] ppdet.engine INFO: Epoch: [79] [360/732] learning_rate: 0.164582 loss_vfl: 1.322551 loss_bbox: 0.735696 loss_dfl: 0.516189 loss: 2.577633 eta: 2 days, 2:41:11 batch_cost: 1.0942 data_cost: 0.0065 ips: 36.5568 images/s
[07/27 09:02:14] ppdet.engine INFO: Epoch: [79] [380/732] learning_rate: 0.164558 loss_vfl: 1.357679 loss_bbox: 0.767022 loss_dfl: 0.530156 loss: 2.664539 eta: 2 days, 2:40:43 batch_cost: 1.0397 data_cost: 0.0054 ips: 38.4722 images/s
[07/27 09:02:41] ppdet.engine INFO: Epoch: [79] [400/732] learning_rate: 0.164535 loss_vfl: 1.390817 loss_bbox: 0.791031 loss_dfl: 0.548196 loss: 2.723061 eta: 2 days, 2:40:21 batch_cost: 1.1365 data_cost: 0.0066 ips: 35.1972 images/s
[07/27 09:03:09] ppdet.engine INFO: Epoch: [79] [420/732] learning_rate: 0.164512 loss_vfl: 1.374694 loss_bbox: 0.774287 loss_dfl: 0.540589 loss: 2.706150 eta: 2 days, 2:39:59 batch_cost: 1.1471 data_cost: 0.0043 ips: 34.8708 images/s
[07/27 09:03:35] ppdet.engine INFO: Epoch: [79] [440/732] learning_rate: 0.164489 loss_vfl: 1.284974 loss_bbox: 0.754025 loss_dfl: 0.524112 loss: 2.572143 eta: 2 days, 2:39:35 batch_cost: 1.0953 data_cost: 0.0063 ips: 36.5207 images/s
[07/27 09:04:01] ppdet.engine INFO: Epoch: [79] [460/732] learning_rate: 0.164465 loss_vfl: 1.320487 loss_bbox: 0.765744 loss_dfl: 0.528105 loss: 2.611106 eta: 2 days, 2:39:13 batch_cost: 1.1410 data_cost: 0.0026 ips: 35.0573 images/s
[07/27 09:04:27] ppdet.engine INFO: Epoch: [79] [480/732] learning_rate: 0.164442 loss_vfl: 1.313494 loss_bbox: 0.790264 loss_dfl: 0.537784 loss: 2.630836 eta: 2 days, 2:38:47 batch_cost: 1.0810 data_cost: 0.0072 ips: 37.0027 images/s
[07/27 09:04:54] ppdet.engine INFO: Epoch: [79] [500/732] learning_rate: 0.164419 loss_vfl: 1.323027 loss_bbox: 0.750301 loss_dfl: 0.522744 loss: 2.604747 eta: 2 days, 2:38:22 batch_cost: 1.0883 data_cost: 0.0039 ips: 36.7561 images/s
[07/27 09:05:22] ppdet.engine INFO: Epoch: [79] [520/732] learning_rate: 0.164396 loss_vfl: 1.339555 loss_bbox: 0.781186 loss_dfl: 0.532373 loss: 2.646647 eta: 2 days, 2:38:04 batch_cost: 1.2044 data_cost: 0.0080 ips: 33.2120 images/s
[07/27 09:05:48] ppdet.engine INFO: Epoch: [79] [540/732] learning_rate: 0.164372 loss_vfl: 1.274954 loss_bbox: 0.705939 loss_dfl: 0.499882 loss: 2.509780 eta: 2 days, 2:37:38 batch_cost: 1.0694 data_cost: 0.0058 ips: 37.4039 images/s
[07/27 09:06:15] ppdet.engine INFO: Epoch: [79] [560/732] learning_rate: 0.164349 loss_vfl: 1.333820 loss_bbox: 0.760268 loss_dfl: 0.519427 loss: 2.607602 eta: 2 days, 2:37:16 batch_cost: 1.1508 data_cost: 0.0043 ips: 34.7577 images/s
[07/27 09:06:42] ppdet.engine INFO: Epoch: [79] [580/732] learning_rate: 0.164326 loss_vfl: 1.335225 loss_bbox: 0.750016 loss_dfl: 0.521929 loss: 2.590139 eta: 2 days, 2:36:54 batch_cost: 1.1330 data_cost: 0.0054 ips: 35.3051 images/s
[07/27 09:07:08] ppdet.engine INFO: Epoch: [79] [600/732] learning_rate: 0.164302 loss_vfl: 1.453228 loss_bbox: 0.794052 loss_dfl: 0.558649 loss: 2.799202 eta: 2 days, 2:36:28 batch_cost: 1.0765 data_cost: 0.0061 ips: 37.1582 images/s
[07/27 09:07:36] ppdet.engine INFO: Epoch: [79] [620/732] learning_rate: 0.164279 loss_vfl: 1.350962 loss_bbox: 0.745978 loss_dfl: 0.524907 loss: 2.643838 eta: 2 days, 2:36:11 batch_cost: 1.2200 data_cost: 0.0055 ips: 32.7863 images/s
[07/27 09:08:01] ppdet.engine INFO: Epoch: [79] [640/732] learning_rate: 0.164256 loss_vfl: 1.338483 loss_bbox: 0.757973 loss_dfl: 0.524037 loss: 2.662112 eta: 2 days, 2:35:47 batch_cost: 1.1079 data_cost: 0.0027 ips: 36.1035 images/s
[07/27 09:08:27] ppdet.engine INFO: Epoch: [79] [660/732] learning_rate: 0.164233 loss_vfl: 1.354924 loss_bbox: 0.768113 loss_dfl: 0.531589 loss: 2.677103 eta: 2 days, 2:35:21 batch_cost: 1.0647 data_cost: 0.0048 ips: 37.5703 images/s
[07/27 09:08:55] ppdet.engine INFO: Epoch: [79] [680/732] learning_rate: 0.164209 loss_vfl: 1.303689 loss_bbox: 0.732200 loss_dfl: 0.511086 loss: 2.532671 eta: 2 days, 2:35:00 batch_cost: 1.1682 data_cost: 0.0029 ips: 34.2413 images/s
[07/27 09:09:22] ppdet.engine INFO: Epoch: [79] [700/732] learning_rate: 0.164186 loss_vfl: 1.328811 loss_bbox: 0.750338 loss_dfl: 0.532028 loss: 2.603662 eta: 2 days, 2:34:37 batch_cost: 1.1212 data_cost: 0.0104 ips: 35.6769 images/s
[07/27 09:09:49] ppdet.engine INFO: Epoch: [79] [720/732] learning_rate: 0.164163 loss_vfl: 1.287544 loss_bbox: 0.727751 loss_dfl: 0.510095 loss: 2.537866 eta: 2 days, 2:34:18 batch_cost: 1.1935 data_cost: 0.0057 ips: 33.5162 images/s
[07/27 09:10:01] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 09:10:02] ppdet.engine INFO: Eval iter: 0
[07/27 09:10:24] ppdet.engine INFO: Eval iter: 100
[07/27 09:10:36] ppdet.engine INFO: Eval iter: 200
[07/27 09:10:47] ppdet.engine INFO: Eval iter: 300
[07/27 09:10:59] ppdet.engine INFO: Eval iter: 400
[07/27 09:11:10] ppdet.engine INFO: Eval iter: 500
[07/27 09:11:22] ppdet.engine INFO: Eval iter: 600
[07/27 09:11:38] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.67s)
creating index...
index created!
[07/27 09:11:39] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.73s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.16s).
Accumulating evaluation results...
DONE (t=19.37s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.228
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.354
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.242
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.092
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.241
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.347
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.237
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.388
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.413
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.167
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.456
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.612
[07/27 09:13:46] ppdet.engine INFO: Total sample number: 4952, averge FPS: 59.50371529631035
[07/27 09:13:46] ppdet.engine INFO: Best test bbox ap is 0.228.
[07/27 09:13:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 09:13:47] ppdet.engine INFO: Epoch: [80] [  0/732] learning_rate: 0.164149 loss_vfl: 1.310637 loss_bbox: 0.746743 loss_dfl: 0.518644 loss: 2.581554 eta: 2 days, 2:33:50 batch_cost: 0.8656 data_cost: 0.0025 ips: 46.2090 images/s
[07/27 09:14:12] ppdet.engine INFO: Epoch: [80] [ 20/732] learning_rate: 0.164125 loss_vfl: 1.362968 loss_bbox: 0.783060 loss_dfl: 0.541946 loss: 2.698197 eta: 2 days, 2:33:23 batch_cost: 1.0549 data_cost: 0.0112 ips: 37.9191 images/s
[07/27 09:14:39] ppdet.engine INFO: Epoch: [80] [ 40/732] learning_rate: 0.164102 loss_vfl: 1.345215 loss_bbox: 0.798016 loss_dfl: 0.549932 loss: 2.721908 eta: 2 days, 2:33:01 batch_cost: 1.1491 data_cost: 0.0022 ips: 34.8107 images/s
[07/27 09:15:07] ppdet.engine INFO: Epoch: [80] [ 60/732] learning_rate: 0.164078 loss_vfl: 1.279568 loss_bbox: 0.730289 loss_dfl: 0.504815 loss: 2.531066 eta: 2 days, 2:32:40 batch_cost: 1.1557 data_cost: 0.0070 ips: 34.6117 images/s
[07/27 09:15:35] ppdet.engine INFO: Epoch: [80] [ 80/732] learning_rate: 0.164055 loss_vfl: 1.316113 loss_bbox: 0.751145 loss_dfl: 0.517650 loss: 2.592895 eta: 2 days, 2:32:18 batch_cost: 1.1365 data_cost: 0.0075 ips: 35.1955 images/s
[07/27 09:16:00] ppdet.engine INFO: Epoch: [80] [100/732] learning_rate: 0.164032 loss_vfl: 1.321022 loss_bbox: 0.775123 loss_dfl: 0.528785 loss: 2.603220 eta: 2 days, 2:31:52 batch_cost: 1.0787 data_cost: 0.0074 ips: 37.0809 images/s
[07/27 09:16:27] ppdet.engine INFO: Epoch: [80] [120/732] learning_rate: 0.164008 loss_vfl: 1.303265 loss_bbox: 0.762761 loss_dfl: 0.521230 loss: 2.604499 eta: 2 days, 2:31:25 batch_cost: 1.0442 data_cost: 0.0060 ips: 38.3053 images/s
[07/27 09:16:55] ppdet.engine INFO: Epoch: [80] [140/732] learning_rate: 0.163985 loss_vfl: 1.375965 loss_bbox: 0.780987 loss_dfl: 0.538440 loss: 2.670933 eta: 2 days, 2:31:02 batch_cost: 1.1186 data_cost: 0.0095 ips: 35.7578 images/s
[07/27 09:17:22] ppdet.engine INFO: Epoch: [80] [160/732] learning_rate: 0.163962 loss_vfl: 1.300884 loss_bbox: 0.764654 loss_dfl: 0.525144 loss: 2.573538 eta: 2 days, 2:30:38 batch_cost: 1.1111 data_cost: 0.0097 ips: 36.0003 images/s
[07/27 09:17:49] ppdet.engine INFO: Epoch: [80] [180/732] learning_rate: 0.163938 loss_vfl: 1.379396 loss_bbox: 0.803490 loss_dfl: 0.548648 loss: 2.713730 eta: 2 days, 2:30:19 batch_cost: 1.1962 data_cost: 0.0037 ips: 33.4396 images/s
[07/27 09:18:14] ppdet.engine INFO: Epoch: [80] [200/732] learning_rate: 0.163915 loss_vfl: 1.399897 loss_bbox: 0.796277 loss_dfl: 0.552103 loss: 2.756289 eta: 2 days, 2:29:53 batch_cost: 1.0633 data_cost: 0.0063 ips: 37.6184 images/s
[07/27 09:18:43] ppdet.engine INFO: Epoch: [80] [220/732] learning_rate: 0.163891 loss_vfl: 1.347882 loss_bbox: 0.764494 loss_dfl: 0.531608 loss: 2.637110 eta: 2 days, 2:29:35 batch_cost: 1.2074 data_cost: 0.0068 ips: 33.1295 images/s
[07/27 09:19:09] ppdet.engine INFO: Epoch: [80] [240/732] learning_rate: 0.163868 loss_vfl: 1.290259 loss_bbox: 0.748694 loss_dfl: 0.518194 loss: 2.545835 eta: 2 days, 2:29:10 batch_cost: 1.1039 data_cost: 0.0064 ips: 36.2337 images/s
[07/27 09:19:35] ppdet.engine INFO: Epoch: [80] [260/732] learning_rate: 0.163845 loss_vfl: 1.316840 loss_bbox: 0.787085 loss_dfl: 0.533710 loss: 2.631635 eta: 2 days, 2:28:46 batch_cost: 1.0985 data_cost: 0.0048 ips: 36.4119 images/s
[07/27 09:20:01] ppdet.engine INFO: Epoch: [80] [280/732] learning_rate: 0.163821 loss_vfl: 1.307121 loss_bbox: 0.767532 loss_dfl: 0.524825 loss: 2.606716 eta: 2 days, 2:28:18 batch_cost: 1.0287 data_cost: 0.0110 ips: 38.8858 images/s
[07/27 09:20:27] ppdet.engine INFO: Epoch: [80] [300/732] learning_rate: 0.163798 loss_vfl: 1.330564 loss_bbox: 0.765166 loss_dfl: 0.532109 loss: 2.622187 eta: 2 days, 2:27:51 batch_cost: 1.0498 data_cost: 0.0056 ips: 38.1016 images/s
[07/27 09:20:53] ppdet.engine INFO: Epoch: [80] [320/732] learning_rate: 0.163774 loss_vfl: 1.353638 loss_bbox: 0.753314 loss_dfl: 0.527515 loss: 2.664820 eta: 2 days, 2:27:23 batch_cost: 1.0236 data_cost: 0.0055 ips: 39.0783 images/s
[07/27 09:21:19] ppdet.engine INFO: Epoch: [80] [340/732] learning_rate: 0.163751 loss_vfl: 1.368657 loss_bbox: 0.768994 loss_dfl: 0.533940 loss: 2.662758 eta: 2 days, 2:26:54 batch_cost: 1.0234 data_cost: 0.0020 ips: 39.0870 images/s
[07/27 09:21:46] ppdet.engine INFO: Epoch: [80] [360/732] learning_rate: 0.163727 loss_vfl: 1.311646 loss_bbox: 0.747962 loss_dfl: 0.522170 loss: 2.557971 eta: 2 days, 2:26:32 batch_cost: 1.1302 data_cost: 0.0045 ips: 35.3930 images/s
[07/27 09:22:12] ppdet.engine INFO: Epoch: [80] [380/732] learning_rate: 0.163704 loss_vfl: 1.375853 loss_bbox: 0.817501 loss_dfl: 0.551091 loss: 2.725670 eta: 2 days, 2:26:08 batch_cost: 1.1039 data_cost: 0.0064 ips: 36.2337 images/s
[07/27 09:22:40] ppdet.engine INFO: Epoch: [80] [400/732] learning_rate: 0.163681 loss_vfl: 1.382480 loss_bbox: 0.790932 loss_dfl: 0.549118 loss: 2.746562 eta: 2 days, 2:25:49 batch_cost: 1.2084 data_cost: 0.0047 ips: 33.1014 images/s
[07/27 09:23:06] ppdet.engine INFO: Epoch: [80] [420/732] learning_rate: 0.163657 loss_vfl: 1.296968 loss_bbox: 0.726976 loss_dfl: 0.513333 loss: 2.544407 eta: 2 days, 2:25:25 batch_cost: 1.0972 data_cost: 0.0105 ips: 36.4571 images/s
[07/27 09:23:32] ppdet.engine INFO: Epoch: [80] [440/732] learning_rate: 0.163634 loss_vfl: 1.362712 loss_bbox: 0.749037 loss_dfl: 0.520840 loss: 2.625797 eta: 2 days, 2:24:59 batch_cost: 1.0792 data_cost: 0.0145 ips: 37.0643 images/s
[07/27 09:23:59] ppdet.engine INFO: Epoch: [80] [460/732] learning_rate: 0.163610 loss_vfl: 1.348327 loss_bbox: 0.747998 loss_dfl: 0.524002 loss: 2.602549 eta: 2 days, 2:24:38 batch_cost: 1.1550 data_cost: 0.0095 ips: 34.6322 images/s
[07/27 09:24:26] ppdet.engine INFO: Epoch: [80] [480/732] learning_rate: 0.163587 loss_vfl: 1.435324 loss_bbox: 0.800018 loss_dfl: 0.559320 loss: 2.802631 eta: 2 days, 2:24:17 batch_cost: 1.1572 data_cost: 0.0068 ips: 34.5663 images/s
[07/27 09:24:54] ppdet.engine INFO: Epoch: [80] [500/732] learning_rate: 0.163563 loss_vfl: 1.322526 loss_bbox: 0.747142 loss_dfl: 0.519083 loss: 2.596726 eta: 2 days, 2:23:55 batch_cost: 1.1416 data_cost: 0.0064 ips: 35.0378 images/s
[07/27 09:25:22] ppdet.engine INFO: Epoch: [80] [520/732] learning_rate: 0.163540 loss_vfl: 1.340058 loss_bbox: 0.762641 loss_dfl: 0.526893 loss: 2.605271 eta: 2 days, 2:23:33 batch_cost: 1.1406 data_cost: 0.0059 ips: 35.0679 images/s
[07/27 09:25:49] ppdet.engine INFO: Epoch: [80] [540/732] learning_rate: 0.163516 loss_vfl: 1.295247 loss_bbox: 0.736375 loss_dfl: 0.510190 loss: 2.534752 eta: 2 days, 2:23:12 batch_cost: 1.1582 data_cost: 0.0058 ips: 34.5376 images/s
[07/27 09:26:15] ppdet.engine INFO: Epoch: [80] [560/732] learning_rate: 0.163493 loss_vfl: 1.356288 loss_bbox: 0.758993 loss_dfl: 0.528131 loss: 2.641171 eta: 2 days, 2:22:47 batch_cost: 1.0918 data_cost: 0.0083 ips: 36.6380 images/s
[07/27 09:26:44] ppdet.engine INFO: Epoch: [80] [580/732] learning_rate: 0.163469 loss_vfl: 1.324830 loss_bbox: 0.743218 loss_dfl: 0.516155 loss: 2.606509 eta: 2 days, 2:22:26 batch_cost: 1.1646 data_cost: 0.0043 ips: 34.3471 images/s
[07/27 09:27:09] ppdet.engine INFO: Epoch: [80] [600/732] learning_rate: 0.163446 loss_vfl: 1.312128 loss_bbox: 0.761557 loss_dfl: 0.516900 loss: 2.592339 eta: 2 days, 2:22:00 batch_cost: 1.0506 data_cost: 0.0096 ips: 38.0739 images/s
[07/27 09:27:36] ppdet.engine INFO: Epoch: [80] [620/732] learning_rate: 0.163422 loss_vfl: 1.289657 loss_bbox: 0.732993 loss_dfl: 0.507710 loss: 2.531092 eta: 2 days, 2:21:36 batch_cost: 1.1168 data_cost: 0.0077 ips: 35.8160 images/s
[07/27 09:28:03] ppdet.engine INFO: Epoch: [80] [640/732] learning_rate: 0.163399 loss_vfl: 1.283512 loss_bbox: 0.743905 loss_dfl: 0.514545 loss: 2.530574 eta: 2 days, 2:21:12 batch_cost: 1.1043 data_cost: 0.0053 ips: 36.2217 images/s
[07/27 09:28:29] ppdet.engine INFO: Epoch: [80] [660/732] learning_rate: 0.163375 loss_vfl: 1.356162 loss_bbox: 0.796096 loss_dfl: 0.546093 loss: 2.703598 eta: 2 days, 2:20:46 batch_cost: 1.0605 data_cost: 0.0044 ips: 37.7184 images/s
[07/27 09:28:56] ppdet.engine INFO: Epoch: [80] [680/732] learning_rate: 0.163352 loss_vfl: 1.347405 loss_bbox: 0.753136 loss_dfl: 0.521990 loss: 2.606874 eta: 2 days, 2:20:22 batch_cost: 1.1025 data_cost: 0.0054 ips: 36.2803 images/s
[07/27 09:29:23] ppdet.engine INFO: Epoch: [80] [700/732] learning_rate: 0.163328 loss_vfl: 1.329414 loss_bbox: 0.753832 loss_dfl: 0.528152 loss: 2.612996 eta: 2 days, 2:19:59 batch_cost: 1.1350 data_cost: 0.0040 ips: 35.2424 images/s
[07/27 09:29:50] ppdet.engine INFO: Epoch: [80] [720/732] learning_rate: 0.163305 loss_vfl: 1.291357 loss_bbox: 0.733453 loss_dfl: 0.505233 loss: 2.513157 eta: 2 days, 2:19:38 batch_cost: 1.1506 data_cost: 0.0023 ips: 34.7658 images/s
[07/27 09:30:15] ppdet.engine INFO: Epoch: [81] [  0/732] learning_rate: 0.163290 loss_vfl: 1.391690 loss_bbox: 0.796810 loss_dfl: 0.555864 loss: 2.758146 eta: 2 days, 2:19:47 batch_cost: 1.5763 data_cost: 0.3680 ips: 25.3755 images/s
[07/27 09:30:43] ppdet.engine INFO: Epoch: [81] [ 20/732] learning_rate: 0.163267 loss_vfl: 1.286772 loss_bbox: 0.730556 loss_dfl: 0.510267 loss: 2.539235 eta: 2 days, 2:19:22 batch_cost: 1.1009 data_cost: 0.0036 ips: 36.3354 images/s
[07/27 09:31:11] ppdet.engine INFO: Epoch: [81] [ 40/732] learning_rate: 0.163243 loss_vfl: 1.323254 loss_bbox: 0.741193 loss_dfl: 0.511846 loss: 2.565916 eta: 2 days, 2:18:58 batch_cost: 1.1009 data_cost: 0.0090 ips: 36.3354 images/s
[07/27 09:31:39] ppdet.engine INFO: Epoch: [81] [ 60/732] learning_rate: 0.163220 loss_vfl: 1.354577 loss_bbox: 0.762136 loss_dfl: 0.536876 loss: 2.683955 eta: 2 days, 2:18:38 batch_cost: 1.1822 data_cost: 0.0048 ips: 33.8339 images/s
[07/27 09:32:06] ppdet.engine INFO: Epoch: [81] [ 80/732] learning_rate: 0.163196 loss_vfl: 1.353525 loss_bbox: 0.761601 loss_dfl: 0.533087 loss: 2.656911 eta: 2 days, 2:18:14 batch_cost: 1.1050 data_cost: 0.0108 ips: 36.1994 images/s
[07/27 09:32:33] ppdet.engine INFO: Epoch: [81] [100/732] learning_rate: 0.163173 loss_vfl: 1.303930 loss_bbox: 0.736443 loss_dfl: 0.515775 loss: 2.597750 eta: 2 days, 2:17:52 batch_cost: 1.1350 data_cost: 0.0058 ips: 35.2409 images/s
[07/27 09:32:59] ppdet.engine INFO: Epoch: [81] [120/732] learning_rate: 0.163149 loss_vfl: 1.298011 loss_bbox: 0.734606 loss_dfl: 0.504978 loss: 2.559539 eta: 2 days, 2:17:27 batch_cost: 1.0858 data_cost: 0.0048 ips: 36.8390 images/s
[07/27 09:33:26] ppdet.engine INFO: Epoch: [81] [140/732] learning_rate: 0.163125 loss_vfl: 1.325244 loss_bbox: 0.778633 loss_dfl: 0.528769 loss: 2.632848 eta: 2 days, 2:17:03 batch_cost: 1.1127 data_cost: 0.0086 ips: 35.9497 images/s
[07/27 09:33:53] ppdet.engine INFO: Epoch: [81] [160/732] learning_rate: 0.163102 loss_vfl: 1.338943 loss_bbox: 0.772044 loss_dfl: 0.527169 loss: 2.636594 eta: 2 days, 2:16:36 batch_cost: 1.0408 data_cost: 0.0053 ips: 38.4319 images/s
[07/27 09:34:20] ppdet.engine INFO: Epoch: [81] [180/732] learning_rate: 0.163078 loss_vfl: 1.317626 loss_bbox: 0.732931 loss_dfl: 0.514139 loss: 2.619842 eta: 2 days, 2:16:12 batch_cost: 1.1039 data_cost: 0.0053 ips: 36.2360 images/s
[07/27 09:34:47] ppdet.engine INFO: Epoch: [81] [200/732] learning_rate: 0.163055 loss_vfl: 1.284984 loss_bbox: 0.731541 loss_dfl: 0.510770 loss: 2.530015 eta: 2 days, 2:15:50 batch_cost: 1.1425 data_cost: 0.0046 ips: 35.0120 images/s
[07/27 09:35:13] ppdet.engine INFO: Epoch: [81] [220/732] learning_rate: 0.163031 loss_vfl: 1.300893 loss_bbox: 0.736704 loss_dfl: 0.507182 loss: 2.544241 eta: 2 days, 2:15:26 batch_cost: 1.0988 data_cost: 0.0078 ips: 36.4046 images/s
[07/27 09:35:41] ppdet.engine INFO: Epoch: [81] [240/732] learning_rate: 0.163007 loss_vfl: 1.312468 loss_bbox: 0.753179 loss_dfl: 0.518740 loss: 2.567857 eta: 2 days, 2:15:03 batch_cost: 1.1307 data_cost: 0.0036 ips: 35.3751 images/s
[07/27 09:36:07] ppdet.engine INFO: Epoch: [81] [260/732] learning_rate: 0.162984 loss_vfl: 1.328267 loss_bbox: 0.780491 loss_dfl: 0.530291 loss: 2.639591 eta: 2 days, 2:14:37 batch_cost: 1.0573 data_cost: 0.0064 ips: 37.8307 images/s
[07/27 09:36:34] ppdet.engine INFO: Epoch: [81] [280/732] learning_rate: 0.162960 loss_vfl: 1.382200 loss_bbox: 0.767556 loss_dfl: 0.540731 loss: 2.676724 eta: 2 days, 2:14:14 batch_cost: 1.1360 data_cost: 0.0126 ips: 35.2099 images/s
[07/27 09:37:00] ppdet.engine INFO: Epoch: [81] [300/732] learning_rate: 0.162936 loss_vfl: 1.325532 loss_bbox: 0.762620 loss_dfl: 0.534107 loss: 2.653560 eta: 2 days, 2:13:47 batch_cost: 1.0370 data_cost: 0.0079 ips: 38.5746 images/s
[07/27 09:37:27] ppdet.engine INFO: Epoch: [81] [320/732] learning_rate: 0.162913 loss_vfl: 1.362207 loss_bbox: 0.788935 loss_dfl: 0.541727 loss: 2.638428 eta: 2 days, 2:13:23 batch_cost: 1.1019 data_cost: 0.0039 ips: 36.2996 images/s
[07/27 09:37:54] ppdet.engine INFO: Epoch: [81] [340/732] learning_rate: 0.162889 loss_vfl: 1.353832 loss_bbox: 0.741674 loss_dfl: 0.519065 loss: 2.614342 eta: 2 days, 2:13:03 batch_cost: 1.1876 data_cost: 0.0058 ips: 33.6810 images/s
[07/27 09:38:20] ppdet.engine INFO: Epoch: [81] [360/732] learning_rate: 0.162866 loss_vfl: 1.349377 loss_bbox: 0.767768 loss_dfl: 0.532390 loss: 2.638006 eta: 2 days, 2:12:37 batch_cost: 1.0643 data_cost: 0.0064 ips: 37.5836 images/s
[07/27 09:38:46] ppdet.engine INFO: Epoch: [81] [380/732] learning_rate: 0.162842 loss_vfl: 1.320472 loss_bbox: 0.729020 loss_dfl: 0.504956 loss: 2.580698 eta: 2 days, 2:12:13 batch_cost: 1.1032 data_cost: 0.0023 ips: 36.2595 images/s
[07/27 09:39:13] ppdet.engine INFO: Epoch: [81] [400/732] learning_rate: 0.162818 loss_vfl: 1.287041 loss_bbox: 0.750215 loss_dfl: 0.512418 loss: 2.535863 eta: 2 days, 2:11:50 batch_cost: 1.1140 data_cost: 0.0071 ips: 35.9079 images/s
[07/27 09:39:41] ppdet.engine INFO: Epoch: [81] [420/732] learning_rate: 0.162795 loss_vfl: 1.325796 loss_bbox: 0.740126 loss_dfl: 0.516830 loss: 2.578482 eta: 2 days, 2:11:28 batch_cost: 1.1417 data_cost: 0.0032 ips: 35.0367 images/s
[07/27 09:40:07] ppdet.engine INFO: Epoch: [81] [440/732] learning_rate: 0.162771 loss_vfl: 1.364781 loss_bbox: 0.752559 loss_dfl: 0.522874 loss: 2.655588 eta: 2 days, 2:11:02 batch_cost: 1.0707 data_cost: 0.0042 ips: 37.3598 images/s
[07/27 09:40:33] ppdet.engine INFO: Epoch: [81] [460/732] learning_rate: 0.162747 loss_vfl: 1.363532 loss_bbox: 0.781343 loss_dfl: 0.528337 loss: 2.655934 eta: 2 days, 2:10:37 batch_cost: 1.0953 data_cost: 0.0068 ips: 36.5206 images/s
[07/27 09:41:00] ppdet.engine INFO: Epoch: [81] [480/732] learning_rate: 0.162724 loss_vfl: 1.369537 loss_bbox: 0.751427 loss_dfl: 0.519587 loss: 2.619472 eta: 2 days, 2:10:16 batch_cost: 1.1591 data_cost: 0.0042 ips: 34.5084 images/s
[07/27 09:41:27] ppdet.engine INFO: Epoch: [81] [500/732] learning_rate: 0.162700 loss_vfl: 1.365078 loss_bbox: 0.754049 loss_dfl: 0.534397 loss: 2.692502 eta: 2 days, 2:09:55 batch_cost: 1.1584 data_cost: 0.0039 ips: 34.5300 images/s
[07/27 09:41:53] ppdet.engine INFO: Epoch: [81] [520/732] learning_rate: 0.162676 loss_vfl: 1.330963 loss_bbox: 0.750443 loss_dfl: 0.522543 loss: 2.628266 eta: 2 days, 2:09:31 batch_cost: 1.1072 data_cost: 0.0065 ips: 36.1280 images/s
[07/27 09:42:19] ppdet.engine INFO: Epoch: [81] [540/732] learning_rate: 0.162652 loss_vfl: 1.235843 loss_bbox: 0.715262 loss_dfl: 0.498247 loss: 2.454858 eta: 2 days, 2:09:07 batch_cost: 1.1049 data_cost: 0.0058 ips: 36.2035 images/s
[07/27 09:42:46] ppdet.engine INFO: Epoch: [81] [560/732] learning_rate: 0.162629 loss_vfl: 1.337421 loss_bbox: 0.773025 loss_dfl: 0.534261 loss: 2.637530 eta: 2 days, 2:08:46 batch_cost: 1.1486 data_cost: 0.0065 ips: 34.8240 images/s
[07/27 09:43:12] ppdet.engine INFO: Epoch: [81] [580/732] learning_rate: 0.162605 loss_vfl: 1.362105 loss_bbox: 0.775720 loss_dfl: 0.535318 loss: 2.682648 eta: 2 days, 2:08:22 batch_cost: 1.1111 data_cost: 0.0073 ips: 36.0015 images/s
[07/27 09:43:38] ppdet.engine INFO: Epoch: [81] [600/732] learning_rate: 0.162581 loss_vfl: 1.348539 loss_bbox: 0.796479 loss_dfl: 0.543750 loss: 2.709354 eta: 2 days, 2:07:57 batch_cost: 1.0727 data_cost: 0.0047 ips: 37.2883 images/s
[07/27 09:44:04] ppdet.engine INFO: Epoch: [81] [620/732] learning_rate: 0.162558 loss_vfl: 1.306210 loss_bbox: 0.742193 loss_dfl: 0.524668 loss: 2.620059 eta: 2 days, 2:07:31 batch_cost: 1.0724 data_cost: 0.0053 ips: 37.2985 images/s
[07/27 09:44:30] ppdet.engine INFO: Epoch: [81] [640/732] learning_rate: 0.162534 loss_vfl: 1.336754 loss_bbox: 0.801228 loss_dfl: 0.539495 loss: 2.699014 eta: 2 days, 2:07:11 batch_cost: 1.1761 data_cost: 0.0072 ips: 34.0110 images/s
[07/27 09:44:57] ppdet.engine INFO: Epoch: [81] [660/732] learning_rate: 0.162510 loss_vfl: 1.316471 loss_bbox: 0.748200 loss_dfl: 0.519241 loss: 2.557669 eta: 2 days, 2:06:53 batch_cost: 1.2275 data_cost: 0.0044 ips: 32.5861 images/s
[07/27 09:45:25] ppdet.engine INFO: Epoch: [81] [680/732] learning_rate: 0.162486 loss_vfl: 1.318364 loss_bbox: 0.768526 loss_dfl: 0.527315 loss: 2.608826 eta: 2 days, 2:06:34 batch_cost: 1.1946 data_cost: 0.0061 ips: 33.4847 images/s
[07/27 09:45:52] ppdet.engine INFO: Epoch: [81] [700/732] learning_rate: 0.162463 loss_vfl: 1.309169 loss_bbox: 0.732138 loss_dfl: 0.521852 loss: 2.601995 eta: 2 days, 2:06:09 batch_cost: 1.0898 data_cost: 0.0080 ips: 36.7047 images/s
[07/27 09:46:19] ppdet.engine INFO: Epoch: [81] [720/732] learning_rate: 0.162439 loss_vfl: 1.305289 loss_bbox: 0.747490 loss_dfl: 0.512541 loss: 2.551110 eta: 2 days, 2:05:47 batch_cost: 1.1262 data_cost: 0.0053 ips: 35.5183 images/s
[07/27 09:46:40] ppdet.engine INFO: Epoch: [82] [  0/732] learning_rate: 0.162425 loss_vfl: 1.322677 loss_bbox: 0.744632 loss_dfl: 0.517832 loss: 2.603328 eta: 2 days, 2:05:46 batch_cost: 1.4186 data_cost: 0.4619 ips: 28.1961 images/s
[07/27 09:47:12] ppdet.engine INFO: Epoch: [82] [ 20/732] learning_rate: 0.162401 loss_vfl: 1.290082 loss_bbox: 0.743459 loss_dfl: 0.508182 loss: 2.538946 eta: 2 days, 2:05:34 batch_cost: 1.3229 data_cost: 0.0060 ips: 30.2361 images/s
[07/27 09:47:39] ppdet.engine INFO: Epoch: [82] [ 40/732] learning_rate: 0.162377 loss_vfl: 1.338215 loss_bbox: 0.757113 loss_dfl: 0.521232 loss: 2.625533 eta: 2 days, 2:05:10 batch_cost: 1.1208 data_cost: 0.0020 ips: 35.6896 images/s
[07/27 09:48:07] ppdet.engine INFO: Epoch: [82] [ 60/732] learning_rate: 0.162353 loss_vfl: 1.308243 loss_bbox: 0.712793 loss_dfl: 0.501944 loss: 2.544798 eta: 2 days, 2:04:50 batch_cost: 1.1720 data_cost: 0.0066 ips: 34.1293 images/s
[07/27 09:48:34] ppdet.engine INFO: Epoch: [82] [ 80/732] learning_rate: 0.162330 loss_vfl: 1.344545 loss_bbox: 0.758004 loss_dfl: 0.527540 loss: 2.604449 eta: 2 days, 2:04:30 batch_cost: 1.1861 data_cost: 0.0040 ips: 33.7243 images/s
[07/27 09:49:02] ppdet.engine INFO: Epoch: [82] [100/732] learning_rate: 0.162306 loss_vfl: 1.329754 loss_bbox: 0.763264 loss_dfl: 0.524054 loss: 2.595590 eta: 2 days, 2:04:08 batch_cost: 1.1263 data_cost: 0.0043 ips: 35.5141 images/s
[07/27 09:49:30] ppdet.engine INFO: Epoch: [82] [120/732] learning_rate: 0.162282 loss_vfl: 1.373999 loss_bbox: 0.778458 loss_dfl: 0.541050 loss: 2.690704 eta: 2 days, 2:03:45 batch_cost: 1.1276 data_cost: 0.0062 ips: 35.4726 images/s
[07/27 09:49:58] ppdet.engine INFO: Epoch: [82] [140/732] learning_rate: 0.162258 loss_vfl: 1.325491 loss_bbox: 0.735565 loss_dfl: 0.513440 loss: 2.571818 eta: 2 days, 2:03:26 batch_cost: 1.1919 data_cost: 0.0020 ips: 33.5586 images/s
[07/27 09:50:23] ppdet.engine INFO: Epoch: [82] [160/732] learning_rate: 0.162234 loss_vfl: 1.295292 loss_bbox: 0.740792 loss_dfl: 0.506605 loss: 2.531926 eta: 2 days, 2:03:02 batch_cost: 1.1089 data_cost: 0.0054 ips: 36.0710 images/s
[07/27 09:50:49] ppdet.engine INFO: Epoch: [82] [180/732] learning_rate: 0.162211 loss_vfl: 1.345992 loss_bbox: 0.735596 loss_dfl: 0.518843 loss: 2.614346 eta: 2 days, 2:02:35 batch_cost: 1.0576 data_cost: 0.0026 ips: 37.8220 images/s
[07/27 09:51:17] ppdet.engine INFO: Epoch: [82] [200/732] learning_rate: 0.162187 loss_vfl: 1.369519 loss_bbox: 0.769763 loss_dfl: 0.537121 loss: 2.656380 eta: 2 days, 2:02:12 batch_cost: 1.1257 data_cost: 0.0033 ips: 35.5328 images/s
[07/27 09:51:43] ppdet.engine INFO: Epoch: [82] [220/732] learning_rate: 0.162163 loss_vfl: 1.378791 loss_bbox: 0.780286 loss_dfl: 0.541768 loss: 2.717122 eta: 2 days, 2:01:46 batch_cost: 1.0617 data_cost: 0.0083 ips: 37.6738 images/s
[07/27 09:52:10] ppdet.engine INFO: Epoch: [82] [240/732] learning_rate: 0.162139 loss_vfl: 1.353547 loss_bbox: 0.777438 loss_dfl: 0.533634 loss: 2.665220 eta: 2 days, 2:01:21 batch_cost: 1.0873 data_cost: 0.0047 ips: 36.7881 images/s
[07/27 09:52:38] ppdet.engine INFO: Epoch: [82] [260/732] learning_rate: 0.162115 loss_vfl: 1.353103 loss_bbox: 0.794765 loss_dfl: 0.540995 loss: 2.684901 eta: 2 days, 2:00:57 batch_cost: 1.1027 data_cost: 0.0068 ips: 36.2737 images/s
[07/27 09:53:05] ppdet.engine INFO: Epoch: [82] [280/732] learning_rate: 0.162091 loss_vfl: 1.340200 loss_bbox: 0.738890 loss_dfl: 0.507427 loss: 2.553495 eta: 2 days, 2:00:34 batch_cost: 1.1255 data_cost: 0.0034 ips: 35.5392 images/s
[07/27 09:53:32] ppdet.engine INFO: Epoch: [82] [300/732] learning_rate: 0.162068 loss_vfl: 1.290280 loss_bbox: 0.763018 loss_dfl: 0.523014 loss: 2.557364 eta: 2 days, 2:00:11 batch_cost: 1.1085 data_cost: 0.0013 ips: 36.0852 images/s
[07/27 09:54:00] ppdet.engine INFO: Epoch: [82] [320/732] learning_rate: 0.162044 loss_vfl: 1.317068 loss_bbox: 0.749481 loss_dfl: 0.517970 loss: 2.561490 eta: 2 days, 1:59:50 batch_cost: 1.1624 data_cost: 0.0033 ips: 34.4120 images/s
[07/27 09:54:28] ppdet.engine INFO: Epoch: [82] [340/732] learning_rate: 0.162020 loss_vfl: 1.332324 loss_bbox: 0.728272 loss_dfl: 0.514356 loss: 2.605071 eta: 2 days, 1:59:30 batch_cost: 1.1781 data_cost: 0.0147 ips: 33.9522 images/s
[07/27 09:54:55] ppdet.engine INFO: Epoch: [82] [360/732] learning_rate: 0.161996 loss_vfl: 1.294234 loss_bbox: 0.768280 loss_dfl: 0.522611 loss: 2.618704 eta: 2 days, 1:59:05 batch_cost: 1.0863 data_cost: 0.0075 ips: 36.8220 images/s
[07/27 09:55:22] ppdet.engine INFO: Epoch: [82] [380/732] learning_rate: 0.161972 loss_vfl: 1.398506 loss_bbox: 0.801015 loss_dfl: 0.555118 loss: 2.762813 eta: 2 days, 1:58:43 batch_cost: 1.1541 data_cost: 0.0081 ips: 34.6603 images/s
[07/27 09:55:50] ppdet.engine INFO: Epoch: [82] [400/732] learning_rate: 0.161948 loss_vfl: 1.360021 loss_bbox: 0.753570 loss_dfl: 0.525363 loss: 2.652446 eta: 2 days, 1:58:25 batch_cost: 1.2044 data_cost: 0.0112 ips: 33.2107 images/s
[07/27 09:56:17] ppdet.engine INFO: Epoch: [82] [420/732] learning_rate: 0.161925 loss_vfl: 1.394425 loss_bbox: 0.782840 loss_dfl: 0.546750 loss: 2.730887 eta: 2 days, 1:58:04 batch_cost: 1.1704 data_cost: 0.0105 ips: 34.1774 images/s
[07/27 09:56:44] ppdet.engine INFO: Epoch: [82] [440/732] learning_rate: 0.161901 loss_vfl: 1.327278 loss_bbox: 0.783377 loss_dfl: 0.534978 loss: 2.640906 eta: 2 days, 1:57:40 batch_cost: 1.0951 data_cost: 0.0063 ips: 36.5271 images/s
[07/27 09:57:12] ppdet.engine INFO: Epoch: [82] [460/732] learning_rate: 0.161877 loss_vfl: 1.264858 loss_bbox: 0.744362 loss_dfl: 0.520755 loss: 2.547085 eta: 2 days, 1:57:19 batch_cost: 1.1695 data_cost: 0.0032 ips: 34.2026 images/s
[07/27 09:57:38] ppdet.engine INFO: Epoch: [82] [480/732] learning_rate: 0.161853 loss_vfl: 1.342091 loss_bbox: 0.752419 loss_dfl: 0.521489 loss: 2.594822 eta: 2 days, 1:56:55 batch_cost: 1.1055 data_cost: 0.0027 ips: 36.1825 images/s
[07/27 09:58:05] ppdet.engine INFO: Epoch: [82] [500/732] learning_rate: 0.161829 loss_vfl: 1.355392 loss_bbox: 0.773260 loss_dfl: 0.531593 loss: 2.652070 eta: 2 days, 1:56:34 batch_cost: 1.1486 data_cost: 0.0040 ips: 34.8237 images/s
[07/27 09:58:32] ppdet.engine INFO: Epoch: [82] [520/732] learning_rate: 0.161805 loss_vfl: 1.263094 loss_bbox: 0.719239 loss_dfl: 0.499987 loss: 2.484371 eta: 2 days, 1:56:12 batch_cost: 1.1525 data_cost: 0.0039 ips: 34.7067 images/s
[07/27 09:58:59] ppdet.engine INFO: Epoch: [82] [540/732] learning_rate: 0.161781 loss_vfl: 1.383241 loss_bbox: 0.803340 loss_dfl: 0.557949 loss: 2.758741 eta: 2 days, 1:55:50 batch_cost: 1.1365 data_cost: 0.0046 ips: 35.1968 images/s
[07/27 09:59:25] ppdet.engine INFO: Epoch: [82] [560/732] learning_rate: 0.161757 loss_vfl: 1.321323 loss_bbox: 0.770951 loss_dfl: 0.526659 loss: 2.600065 eta: 2 days, 1:55:25 batch_cost: 1.0783 data_cost: 0.0061 ips: 37.0947 images/s
[07/27 09:59:51] ppdet.engine INFO: Epoch: [82] [580/732] learning_rate: 0.161733 loss_vfl: 1.371301 loss_bbox: 0.808455 loss_dfl: 0.552769 loss: 2.735886 eta: 2 days, 1:54:59 batch_cost: 1.0759 data_cost: 0.0066 ips: 37.1775 images/s
[07/27 10:00:20] ppdet.engine INFO: Epoch: [82] [600/732] learning_rate: 0.161709 loss_vfl: 1.310169 loss_bbox: 0.743499 loss_dfl: 0.515072 loss: 2.561121 eta: 2 days, 1:54:40 batch_cost: 1.1906 data_cost: 0.0071 ips: 33.5961 images/s
[07/27 10:00:48] ppdet.engine INFO: Epoch: [82] [620/732] learning_rate: 0.161686 loss_vfl: 1.321384 loss_bbox: 0.776122 loss_dfl: 0.528356 loss: 2.613453 eta: 2 days, 1:54:20 batch_cost: 1.1752 data_cost: 0.0044 ips: 34.0366 images/s
[07/27 10:01:14] ppdet.engine INFO: Epoch: [82] [640/732] learning_rate: 0.161662 loss_vfl: 1.314584 loss_bbox: 0.757967 loss_dfl: 0.524182 loss: 2.592889 eta: 2 days, 1:53:58 batch_cost: 1.1459 data_cost: 0.0039 ips: 34.9085 images/s
[07/27 10:01:43] ppdet.engine INFO: Epoch: [82] [660/732] learning_rate: 0.161638 loss_vfl: 1.269673 loss_bbox: 0.720193 loss_dfl: 0.511547 loss: 2.514686 eta: 2 days, 1:53:37 batch_cost: 1.1730 data_cost: 0.0067 ips: 34.1020 images/s
[07/27 10:02:09] ppdet.engine INFO: Epoch: [82] [680/732] learning_rate: 0.161614 loss_vfl: 1.330087 loss_bbox: 0.752467 loss_dfl: 0.515063 loss: 2.605290 eta: 2 days, 1:53:11 batch_cost: 1.0544 data_cost: 0.0072 ips: 37.9351 images/s
[07/27 10:02:35] ppdet.engine INFO: Epoch: [82] [700/732] learning_rate: 0.161590 loss_vfl: 1.352405 loss_bbox: 0.770194 loss_dfl: 0.537435 loss: 2.658581 eta: 2 days, 1:52:47 batch_cost: 1.0983 data_cost: 0.0067 ips: 36.4196 images/s
[07/27 10:03:01] ppdet.engine INFO: Epoch: [82] [720/732] learning_rate: 0.161566 loss_vfl: 1.355886 loss_bbox: 0.778659 loss_dfl: 0.531552 loss: 2.651970 eta: 2 days, 1:52:19 batch_cost: 1.0346 data_cost: 0.0031 ips: 38.6639 images/s
[07/27 10:03:22] ppdet.engine INFO: Epoch: [83] [  0/732] learning_rate: 0.161551 loss_vfl: 1.337404 loss_bbox: 0.752986 loss_dfl: 0.519515 loss: 2.608265 eta: 2 days, 1:52:17 batch_cost: 1.3142 data_cost: 0.4860 ips: 30.4360 images/s
[07/27 10:03:53] ppdet.engine INFO: Epoch: [83] [ 20/732] learning_rate: 0.161527 loss_vfl: 1.288949 loss_bbox: 0.751869 loss_dfl: 0.521333 loss: 2.573145 eta: 2 days, 1:52:01 batch_cost: 1.2677 data_cost: 0.0093 ips: 31.5535 images/s
[07/27 10:04:22] ppdet.engine INFO: Epoch: [83] [ 40/732] learning_rate: 0.161503 loss_vfl: 1.318413 loss_bbox: 0.748943 loss_dfl: 0.521483 loss: 2.586912 eta: 2 days, 1:51:46 batch_cost: 1.2597 data_cost: 0.0033 ips: 31.7541 images/s
[07/27 10:04:48] ppdet.engine INFO: Epoch: [83] [ 60/732] learning_rate: 0.161480 loss_vfl: 1.352959 loss_bbox: 0.794244 loss_dfl: 0.541217 loss: 2.666136 eta: 2 days, 1:51:21 batch_cost: 1.0973 data_cost: 0.0125 ips: 36.4521 images/s
[07/27 10:05:16] ppdet.engine INFO: Epoch: [83] [ 80/732] learning_rate: 0.161456 loss_vfl: 1.287869 loss_bbox: 0.727445 loss_dfl: 0.501760 loss: 2.516544 eta: 2 days, 1:51:02 batch_cost: 1.1861 data_cost: 0.0107 ips: 33.7250 images/s
[07/27 10:05:44] ppdet.engine INFO: Epoch: [83] [100/732] learning_rate: 0.161432 loss_vfl: 1.315345 loss_bbox: 0.759723 loss_dfl: 0.528191 loss: 2.605091 eta: 2 days, 1:50:44 batch_cost: 1.2196 data_cost: 0.0117 ips: 32.7981 images/s
[07/27 10:06:09] ppdet.engine INFO: Epoch: [83] [120/732] learning_rate: 0.161408 loss_vfl: 1.326757 loss_bbox: 0.761417 loss_dfl: 0.527804 loss: 2.620455 eta: 2 days, 1:50:14 batch_cost: 0.9867 data_cost: 0.0054 ips: 40.5387 images/s
[07/27 10:06:38] ppdet.engine INFO: Epoch: [83] [140/732] learning_rate: 0.161384 loss_vfl: 1.271406 loss_bbox: 0.717994 loss_dfl: 0.500761 loss: 2.508878 eta: 2 days, 1:49:56 batch_cost: 1.2290 data_cost: 0.0030 ips: 32.5478 images/s
[07/27 10:07:05] ppdet.engine INFO: Epoch: [83] [160/732] learning_rate: 0.161360 loss_vfl: 1.366662 loss_bbox: 0.794433 loss_dfl: 0.540279 loss: 2.695093 eta: 2 days, 1:49:32 batch_cost: 1.1079 data_cost: 0.0097 ips: 36.1054 images/s
[07/27 10:07:31] ppdet.engine INFO: Epoch: [83] [180/732] learning_rate: 0.161336 loss_vfl: 1.325602 loss_bbox: 0.764925 loss_dfl: 0.525967 loss: 2.594946 eta: 2 days, 1:49:10 batch_cost: 1.1431 data_cost: 0.0033 ips: 34.9933 images/s
[07/27 10:07:57] ppdet.engine INFO: Epoch: [83] [200/732] learning_rate: 0.161312 loss_vfl: 1.332109 loss_bbox: 0.757844 loss_dfl: 0.527604 loss: 2.616723 eta: 2 days, 1:48:47 batch_cost: 1.1225 data_cost: 0.0065 ips: 35.6332 images/s
[07/27 10:08:25] ppdet.engine INFO: Epoch: [83] [220/732] learning_rate: 0.161288 loss_vfl: 1.264766 loss_bbox: 0.719978 loss_dfl: 0.501246 loss: 2.491785 eta: 2 days, 1:48:29 batch_cost: 1.2187 data_cost: 0.0096 ips: 32.8207 images/s
[07/27 10:08:51] ppdet.engine INFO: Epoch: [83] [240/732] learning_rate: 0.161264 loss_vfl: 1.332612 loss_bbox: 0.753532 loss_dfl: 0.528490 loss: 2.639320 eta: 2 days, 1:48:07 batch_cost: 1.1345 data_cost: 0.0044 ips: 35.2572 images/s
[07/27 10:09:19] ppdet.engine INFO: Epoch: [83] [260/732] learning_rate: 0.161239 loss_vfl: 1.318466 loss_bbox: 0.784258 loss_dfl: 0.534169 loss: 2.659700 eta: 2 days, 1:47:46 batch_cost: 1.1718 data_cost: 0.0078 ips: 34.1350 images/s
[07/27 10:09:47] ppdet.engine INFO: Epoch: [83] [280/732] learning_rate: 0.161215 loss_vfl: 1.364824 loss_bbox: 0.771693 loss_dfl: 0.541086 loss: 2.691802 eta: 2 days, 1:47:26 batch_cost: 1.1739 data_cost: 0.0069 ips: 34.0740 images/s
[07/27 10:10:14] ppdet.engine INFO: Epoch: [83] [300/732] learning_rate: 0.161191 loss_vfl: 1.362129 loss_bbox: 0.794607 loss_dfl: 0.539331 loss: 2.694868 eta: 2 days, 1:47:02 batch_cost: 1.1096 data_cost: 0.0021 ips: 36.0488 images/s
[07/27 10:10:42] ppdet.engine INFO: Epoch: [83] [320/732] learning_rate: 0.161167 loss_vfl: 1.391897 loss_bbox: 0.791386 loss_dfl: 0.550405 loss: 2.732456 eta: 2 days, 1:46:42 batch_cost: 1.1748 data_cost: 0.0108 ips: 34.0478 images/s
[07/27 10:11:09] ppdet.engine INFO: Epoch: [83] [340/732] learning_rate: 0.161143 loss_vfl: 1.433459 loss_bbox: 0.801089 loss_dfl: 0.562511 loss: 2.801218 eta: 2 days, 1:46:22 batch_cost: 1.1734 data_cost: 0.0031 ips: 34.0882 images/s
[07/27 10:11:34] ppdet.engine INFO: Epoch: [83] [360/732] learning_rate: 0.161119 loss_vfl: 1.364344 loss_bbox: 0.792591 loss_dfl: 0.545516 loss: 2.694365 eta: 2 days, 1:46:00 batch_cost: 1.1451 data_cost: 0.0076 ips: 34.9303 images/s
[07/27 10:12:03] ppdet.engine INFO: Epoch: [83] [380/732] learning_rate: 0.161095 loss_vfl: 1.271694 loss_bbox: 0.744758 loss_dfl: 0.505751 loss: 2.514455 eta: 2 days, 1:45:42 batch_cost: 1.2294 data_cost: 0.0041 ips: 32.5375 images/s
[07/27 10:12:29] ppdet.engine INFO: Epoch: [83] [400/732] learning_rate: 0.161071 loss_vfl: 1.332399 loss_bbox: 0.763517 loss_dfl: 0.518414 loss: 2.594155 eta: 2 days, 1:45:22 batch_cost: 1.1688 data_cost: 0.0027 ips: 34.2245 images/s
[07/27 10:12:56] ppdet.engine INFO: Epoch: [83] [420/732] learning_rate: 0.161047 loss_vfl: 1.337673 loss_bbox: 0.772725 loss_dfl: 0.538783 loss: 2.682887 eta: 2 days, 1:45:04 batch_cost: 1.2191 data_cost: 0.0023 ips: 32.8105 images/s
[07/27 10:13:25] ppdet.engine INFO: Epoch: [83] [440/732] learning_rate: 0.161023 loss_vfl: 1.322986 loss_bbox: 0.731935 loss_dfl: 0.511172 loss: 2.570774 eta: 2 days, 1:44:48 batch_cost: 1.2564 data_cost: 0.0040 ips: 31.8372 images/s
[07/27 10:13:51] ppdet.engine INFO: Epoch: [83] [460/732] learning_rate: 0.160999 loss_vfl: 1.298427 loss_bbox: 0.724732 loss_dfl: 0.511061 loss: 2.547866 eta: 2 days, 1:44:27 batch_cost: 1.1650 data_cost: 0.0062 ips: 34.3340 images/s
[07/27 10:14:17] ppdet.engine INFO: Epoch: [83] [480/732] learning_rate: 0.160975 loss_vfl: 1.326575 loss_bbox: 0.778386 loss_dfl: 0.527927 loss: 2.640594 eta: 2 days, 1:44:03 batch_cost: 1.1026 data_cost: 0.0055 ips: 36.2781 images/s
[07/27 10:14:44] ppdet.engine INFO: Epoch: [83] [500/732] learning_rate: 0.160951 loss_vfl: 1.313144 loss_bbox: 0.737419 loss_dfl: 0.510732 loss: 2.580564 eta: 2 days, 1:43:39 batch_cost: 1.1036 data_cost: 0.0145 ips: 36.2448 images/s
[07/27 10:15:11] ppdet.engine INFO: Epoch: [83] [520/732] learning_rate: 0.160927 loss_vfl: 1.240874 loss_bbox: 0.720466 loss_dfl: 0.498259 loss: 2.448479 eta: 2 days, 1:43:19 batch_cost: 1.1772 data_cost: 0.0060 ips: 33.9788 images/s
[07/27 10:15:40] ppdet.engine INFO: Epoch: [83] [540/732] learning_rate: 0.160903 loss_vfl: 1.348848 loss_bbox: 0.724254 loss_dfl: 0.511746 loss: 2.620088 eta: 2 days, 1:43:03 batch_cost: 1.2661 data_cost: 0.0093 ips: 31.5938 images/s
[07/27 10:16:06] ppdet.engine INFO: Epoch: [83] [560/732] learning_rate: 0.160878 loss_vfl: 1.334579 loss_bbox: 0.747837 loss_dfl: 0.524256 loss: 2.595763 eta: 2 days, 1:42:40 batch_cost: 1.1245 data_cost: 0.0041 ips: 35.5724 images/s
[07/27 10:16:33] ppdet.engine INFO: Epoch: [83] [580/732] learning_rate: 0.160854 loss_vfl: 1.374914 loss_bbox: 0.797732 loss_dfl: 0.544530 loss: 2.706967 eta: 2 days, 1:42:20 batch_cost: 1.1796 data_cost: 0.0057 ips: 33.9104 images/s
[07/27 10:17:01] ppdet.engine INFO: Epoch: [83] [600/732] learning_rate: 0.160830 loss_vfl: 1.353654 loss_bbox: 0.775773 loss_dfl: 0.544417 loss: 2.699531 eta: 2 days, 1:42:02 batch_cost: 1.2181 data_cost: 0.0145 ips: 32.8370 images/s
[07/27 10:17:28] ppdet.engine INFO: Epoch: [83] [620/732] learning_rate: 0.160806 loss_vfl: 1.353951 loss_bbox: 0.770241 loss_dfl: 0.531608 loss: 2.661285 eta: 2 days, 1:41:38 batch_cost: 1.1118 data_cost: 0.0064 ips: 35.9787 images/s
[07/27 10:17:54] ppdet.engine INFO: Epoch: [83] [640/732] learning_rate: 0.160782 loss_vfl: 1.305342 loss_bbox: 0.761117 loss_dfl: 0.530461 loss: 2.623988 eta: 2 days, 1:41:14 batch_cost: 1.0897 data_cost: 0.0065 ips: 36.7059 images/s
[07/27 10:18:22] ppdet.engine INFO: Epoch: [83] [660/732] learning_rate: 0.160758 loss_vfl: 1.323644 loss_bbox: 0.749568 loss_dfl: 0.527859 loss: 2.623937 eta: 2 days, 1:40:53 batch_cost: 1.1726 data_cost: 0.0098 ips: 34.1125 images/s
[07/27 10:18:48] ppdet.engine INFO: Epoch: [83] [680/732] learning_rate: 0.160734 loss_vfl: 1.338524 loss_bbox: 0.756870 loss_dfl: 0.531396 loss: 2.650484 eta: 2 days, 1:40:32 batch_cost: 1.1627 data_cost: 0.0055 ips: 34.4031 images/s
[07/27 10:19:14] ppdet.engine INFO: Epoch: [83] [700/732] learning_rate: 0.160709 loss_vfl: 1.285604 loss_bbox: 0.759029 loss_dfl: 0.521324 loss: 2.572633 eta: 2 days, 1:40:06 batch_cost: 1.0581 data_cost: 0.0075 ips: 37.8033 images/s
[07/27 10:19:39] ppdet.engine INFO: Epoch: [83] [720/732] learning_rate: 0.160685 loss_vfl: 1.336529 loss_bbox: 0.757792 loss_dfl: 0.524263 loss: 2.631608 eta: 2 days, 1:39:39 batch_cost: 1.0505 data_cost: 0.0054 ips: 38.0757 images/s
[07/27 10:20:01] ppdet.engine INFO: Epoch: [84] [  0/732] learning_rate: 0.160671 loss_vfl: 1.338517 loss_bbox: 0.753825 loss_dfl: 0.516725 loss: 2.624501 eta: 2 days, 1:39:39 batch_cost: 1.3348 data_cost: 0.2778 ips: 29.9675 images/s
[07/27 10:20:32] ppdet.engine INFO: Epoch: [84] [ 20/732] learning_rate: 0.160647 loss_vfl: 1.352404 loss_bbox: 0.769934 loss_dfl: 0.534166 loss: 2.647287 eta: 2 days, 1:39:22 batch_cost: 1.2506 data_cost: 0.0061 ips: 31.9857 images/s
[07/27 10:20:59] ppdet.engine INFO: Epoch: [84] [ 40/732] learning_rate: 0.160623 loss_vfl: 1.278787 loss_bbox: 0.725536 loss_dfl: 0.508521 loss: 2.520806 eta: 2 days, 1:39:01 batch_cost: 1.1474 data_cost: 0.0048 ips: 34.8602 images/s
[07/27 10:21:27] ppdet.engine INFO: Epoch: [84] [ 60/732] learning_rate: 0.160598 loss_vfl: 1.345091 loss_bbox: 0.765756 loss_dfl: 0.528272 loss: 2.647948 eta: 2 days, 1:38:42 batch_cost: 1.2044 data_cost: 0.0066 ips: 33.2104 images/s
[07/27 10:21:53] ppdet.engine INFO: Epoch: [84] [ 80/732] learning_rate: 0.160574 loss_vfl: 1.342756 loss_bbox: 0.756555 loss_dfl: 0.531304 loss: 2.630393 eta: 2 days, 1:38:20 batch_cost: 1.1405 data_cost: 0.0104 ips: 35.0716 images/s
[07/27 10:22:20] ppdet.engine INFO: Epoch: [84] [100/732] learning_rate: 0.160550 loss_vfl: 1.277580 loss_bbox: 0.749960 loss_dfl: 0.513817 loss: 2.533635 eta: 2 days, 1:37:53 batch_cost: 1.0427 data_cost: 0.0054 ips: 38.3615 images/s
[07/27 10:22:45] ppdet.engine INFO: Epoch: [84] [120/732] learning_rate: 0.160526 loss_vfl: 1.356892 loss_bbox: 0.740765 loss_dfl: 0.521404 loss: 2.646496 eta: 2 days, 1:37:27 batch_cost: 1.0712 data_cost: 0.0062 ips: 37.3423 images/s
[07/27 10:23:13] ppdet.engine INFO: Epoch: [84] [140/732] learning_rate: 0.160502 loss_vfl: 1.321656 loss_bbox: 0.753242 loss_dfl: 0.509024 loss: 2.547219 eta: 2 days, 1:37:06 batch_cost: 1.1706 data_cost: 0.0055 ips: 34.1692 images/s
[07/27 10:23:39] ppdet.engine INFO: Epoch: [84] [160/732] learning_rate: 0.160477 loss_vfl: 1.314757 loss_bbox: 0.748327 loss_dfl: 0.510592 loss: 2.567575 eta: 2 days, 1:36:44 batch_cost: 1.1367 data_cost: 0.0076 ips: 35.1904 images/s
[07/27 10:24:04] ppdet.engine INFO: Epoch: [84] [180/732] learning_rate: 0.160453 loss_vfl: 1.364730 loss_bbox: 0.787236 loss_dfl: 0.537458 loss: 2.684046 eta: 2 days, 1:36:17 batch_cost: 1.0460 data_cost: 0.0107 ips: 38.2400 images/s
[07/27 10:24:34] ppdet.engine INFO: Epoch: [84] [200/732] learning_rate: 0.160429 loss_vfl: 1.355939 loss_bbox: 0.766290 loss_dfl: 0.531200 loss: 2.641539 eta: 2 days, 1:36:06 batch_cost: 1.3583 data_cost: 0.0093 ips: 29.4481 images/s
[07/27 10:24:59] ppdet.engine INFO: Epoch: [84] [220/732] learning_rate: 0.160405 loss_vfl: 1.335865 loss_bbox: 0.757017 loss_dfl: 0.518730 loss: 2.598658 eta: 2 days, 1:35:40 batch_cost: 1.0705 data_cost: 0.0053 ips: 37.3645 images/s
[07/27 10:25:27] ppdet.engine INFO: Epoch: [84] [240/732] learning_rate: 0.160381 loss_vfl: 1.338775 loss_bbox: 0.784387 loss_dfl: 0.536931 loss: 2.662525 eta: 2 days, 1:35:24 batch_cost: 1.2504 data_cost: 0.0011 ips: 31.9902 images/s
[07/27 10:25:55] ppdet.engine INFO: Epoch: [84] [260/732] learning_rate: 0.160356 loss_vfl: 1.288675 loss_bbox: 0.732201 loss_dfl: 0.515558 loss: 2.546628 eta: 2 days, 1:35:04 batch_cost: 1.1756 data_cost: 0.0069 ips: 34.0240 images/s
[07/27 10:26:23] ppdet.engine INFO: Epoch: [84] [280/732] learning_rate: 0.160332 loss_vfl: 1.363916 loss_bbox: 0.749509 loss_dfl: 0.524308 loss: 2.596520 eta: 2 days, 1:34:46 batch_cost: 1.2368 data_cost: 0.0066 ips: 32.3417 images/s
[07/27 10:26:52] ppdet.engine INFO: Epoch: [84] [300/732] learning_rate: 0.160308 loss_vfl: 1.338474 loss_bbox: 0.772909 loss_dfl: 0.532619 loss: 2.648737 eta: 2 days, 1:34:31 batch_cost: 1.2754 data_cost: 0.0057 ips: 31.3623 images/s
[07/27 10:27:18] ppdet.engine INFO: Epoch: [84] [320/732] learning_rate: 0.160284 loss_vfl: 1.304040 loss_bbox: 0.750119 loss_dfl: 0.513273 loss: 2.542762 eta: 2 days, 1:34:07 batch_cost: 1.0985 data_cost: 0.0076 ips: 36.4135 images/s
[07/27 10:27:45] ppdet.engine INFO: Epoch: [84] [340/732] learning_rate: 0.160259 loss_vfl: 1.339117 loss_bbox: 0.776768 loss_dfl: 0.540956 loss: 2.653086 eta: 2 days, 1:33:49 batch_cost: 1.2328 data_cost: 0.0053 ips: 32.4469 images/s
[07/27 10:28:14] ppdet.engine INFO: Epoch: [84] [360/732] learning_rate: 0.160235 loss_vfl: 1.364396 loss_bbox: 0.749404 loss_dfl: 0.527167 loss: 2.586839 eta: 2 days, 1:33:35 batch_cost: 1.2914 data_cost: 0.0047 ips: 30.9735 images/s
[07/27 10:28:41] ppdet.engine INFO: Epoch: [84] [380/732] learning_rate: 0.160211 loss_vfl: 1.307837 loss_bbox: 0.738216 loss_dfl: 0.516616 loss: 2.593677 eta: 2 days, 1:33:15 batch_cost: 1.1873 data_cost: 0.0029 ips: 33.6912 images/s
[07/27 10:29:08] ppdet.engine INFO: Epoch: [84] [400/732] learning_rate: 0.160187 loss_vfl: 1.302812 loss_bbox: 0.742961 loss_dfl: 0.514607 loss: 2.548679 eta: 2 days, 1:32:55 batch_cost: 1.1705 data_cost: 0.0030 ips: 34.1728 images/s
[07/27 10:29:35] ppdet.engine INFO: Epoch: [84] [420/732] learning_rate: 0.160162 loss_vfl: 1.322519 loss_bbox: 0.761789 loss_dfl: 0.518547 loss: 2.577628 eta: 2 days, 1:32:33 batch_cost: 1.1463 data_cost: 0.0055 ips: 34.8939 images/s
[07/27 10:30:01] ppdet.engine INFO: Epoch: [84] [440/732] learning_rate: 0.160138 loss_vfl: 1.325932 loss_bbox: 0.748812 loss_dfl: 0.525875 loss: 2.609204 eta: 2 days, 1:32:10 batch_cost: 1.1278 data_cost: 0.0098 ips: 35.4670 images/s
[07/27 10:30:27] ppdet.engine INFO: Epoch: [84] [460/732] learning_rate: 0.160114 loss_vfl: 1.361664 loss_bbox: 0.781915 loss_dfl: 0.542692 loss: 2.653867 eta: 2 days, 1:31:48 batch_cost: 1.1401 data_cost: 0.0025 ips: 35.0855 images/s
[07/27 10:30:54] ppdet.engine INFO: Epoch: [84] [480/732] learning_rate: 0.160089 loss_vfl: 1.295752 loss_bbox: 0.702423 loss_dfl: 0.498437 loss: 2.539810 eta: 2 days, 1:31:26 batch_cost: 1.1360 data_cost: 0.0026 ips: 35.2111 images/s
[07/27 10:31:20] ppdet.engine INFO: Epoch: [84] [500/732] learning_rate: 0.160065 loss_vfl: 1.342725 loss_bbox: 0.740763 loss_dfl: 0.520143 loss: 2.613590 eta: 2 days, 1:30:57 batch_cost: 1.0212 data_cost: 0.0066 ips: 39.1691 images/s
[07/27 10:31:48] ppdet.engine INFO: Epoch: [84] [520/732] learning_rate: 0.160041 loss_vfl: 1.305644 loss_bbox: 0.749316 loss_dfl: 0.525262 loss: 2.588191 eta: 2 days, 1:30:40 batch_cost: 1.2418 data_cost: 0.0065 ips: 32.2114 images/s
[07/27 10:32:12] ppdet.engine INFO: Epoch: [84] [540/732] learning_rate: 0.160017 loss_vfl: 1.385807 loss_bbox: 0.783027 loss_dfl: 0.536230 loss: 2.700356 eta: 2 days, 1:30:11 batch_cost: 0.9934 data_cost: 0.0054 ips: 40.2640 images/s
[07/27 10:32:40] ppdet.engine INFO: Epoch: [84] [560/732] learning_rate: 0.159992 loss_vfl: 1.345766 loss_bbox: 0.772195 loss_dfl: 0.528190 loss: 2.619848 eta: 2 days, 1:29:48 batch_cost: 1.1304 data_cost: 0.0084 ips: 35.3864 images/s
[07/27 10:33:08] ppdet.engine INFO: Epoch: [84] [580/732] learning_rate: 0.159968 loss_vfl: 1.294371 loss_bbox: 0.719155 loss_dfl: 0.503551 loss: 2.524827 eta: 2 days, 1:29:27 batch_cost: 1.1660 data_cost: 0.0114 ips: 34.3064 images/s
[07/27 10:33:33] ppdet.engine INFO: Epoch: [84] [600/732] learning_rate: 0.159944 loss_vfl: 1.320249 loss_bbox: 0.742680 loss_dfl: 0.519558 loss: 2.565675 eta: 2 days, 1:29:02 batch_cost: 1.0696 data_cost: 0.0042 ips: 37.3967 images/s
[07/27 10:34:01] ppdet.engine INFO: Epoch: [84] [620/732] learning_rate: 0.159919 loss_vfl: 1.341474 loss_bbox: 0.762588 loss_dfl: 0.527088 loss: 2.638426 eta: 2 days, 1:28:42 batch_cost: 1.1960 data_cost: 0.0086 ips: 33.4460 images/s
[07/27 10:34:28] ppdet.engine INFO: Epoch: [84] [640/732] learning_rate: 0.159895 loss_vfl: 1.284798 loss_bbox: 0.735772 loss_dfl: 0.508420 loss: 2.533540 eta: 2 days, 1:28:21 batch_cost: 1.1593 data_cost: 0.0061 ips: 34.5029 images/s
[07/27 10:34:55] ppdet.engine INFO: Epoch: [84] [660/732] learning_rate: 0.159871 loss_vfl: 1.312686 loss_bbox: 0.723783 loss_dfl: 0.508852 loss: 2.544528 eta: 2 days, 1:28:00 batch_cost: 1.1534 data_cost: 0.0070 ips: 34.6808 images/s
[07/27 10:35:22] ppdet.engine INFO: Epoch: [84] [680/732] learning_rate: 0.159846 loss_vfl: 1.310042 loss_bbox: 0.774142 loss_dfl: 0.527102 loss: 2.607213 eta: 2 days, 1:27:40 batch_cost: 1.1898 data_cost: 0.0089 ips: 33.6190 images/s
[07/27 10:35:48] ppdet.engine INFO: Epoch: [84] [700/732] learning_rate: 0.159822 loss_vfl: 1.359458 loss_bbox: 0.769279 loss_dfl: 0.530071 loss: 2.659614 eta: 2 days, 1:27:14 batch_cost: 1.0665 data_cost: 0.0083 ips: 37.5061 images/s
[07/27 10:36:14] ppdet.engine INFO: Epoch: [84] [720/732] learning_rate: 0.159798 loss_vfl: 1.357082 loss_bbox: 0.768123 loss_dfl: 0.528076 loss: 2.630026 eta: 2 days, 1:26:49 batch_cost: 1.0911 data_cost: 0.0038 ips: 36.6618 images/s
[07/27 10:36:33] ppdet.engine INFO: Epoch: [85] [  0/732] learning_rate: 0.159783 loss_vfl: 1.354424 loss_bbox: 0.773298 loss_dfl: 0.538849 loss: 2.668008 eta: 2 days, 1:26:45 batch_cost: 1.3089 data_cost: 0.4581 ips: 30.5592 images/s
[07/27 10:37:05] ppdet.engine INFO: Epoch: [85] [ 20/732] learning_rate: 0.159759 loss_vfl: 1.284146 loss_bbox: 0.721693 loss_dfl: 0.502764 loss: 2.512311 eta: 2 days, 1:26:30 batch_cost: 1.2826 data_cost: 0.0037 ips: 31.1871 images/s
[07/27 10:37:33] ppdet.engine INFO: Epoch: [85] [ 40/732] learning_rate: 0.159734 loss_vfl: 1.358990 loss_bbox: 0.797267 loss_dfl: 0.552883 loss: 2.740680 eta: 2 days, 1:26:12 batch_cost: 1.2143 data_cost: 0.0077 ips: 32.9401 images/s
[07/27 10:38:00] ppdet.engine INFO: Epoch: [85] [ 60/732] learning_rate: 0.159710 loss_vfl: 1.367354 loss_bbox: 0.788127 loss_dfl: 0.543484 loss: 2.665157 eta: 2 days, 1:25:48 batch_cost: 1.1157 data_cost: 0.0077 ips: 35.8533 images/s
[07/27 10:38:26] ppdet.engine INFO: Epoch: [85] [ 80/732] learning_rate: 0.159686 loss_vfl: 1.319748 loss_bbox: 0.748291 loss_dfl: 0.512977 loss: 2.575277 eta: 2 days, 1:25:24 batch_cost: 1.1081 data_cost: 0.0082 ips: 36.0971 images/s
[07/27 10:38:53] ppdet.engine INFO: Epoch: [85] [100/732] learning_rate: 0.159661 loss_vfl: 1.347211 loss_bbox: 0.772812 loss_dfl: 0.537571 loss: 2.656996 eta: 2 days, 1:25:02 batch_cost: 1.1304 data_cost: 0.0056 ips: 35.3845 images/s
[07/27 10:39:20] ppdet.engine INFO: Epoch: [85] [120/732] learning_rate: 0.159637 loss_vfl: 1.320541 loss_bbox: 0.724767 loss_dfl: 0.507003 loss: 2.540416 eta: 2 days, 1:24:40 batch_cost: 1.1431 data_cost: 0.0130 ips: 34.9922 images/s
[07/27 10:39:47] ppdet.engine INFO: Epoch: [85] [140/732] learning_rate: 0.159612 loss_vfl: 1.377049 loss_bbox: 0.773356 loss_dfl: 0.531386 loss: 2.680382 eta: 2 days, 1:24:17 batch_cost: 1.1315 data_cost: 0.0031 ips: 35.3505 images/s
[07/27 10:40:14] ppdet.engine INFO: Epoch: [85] [160/732] learning_rate: 0.159588 loss_vfl: 1.350487 loss_bbox: 0.757321 loss_dfl: 0.526019 loss: 2.647904 eta: 2 days, 1:23:55 batch_cost: 1.1344 data_cost: 0.0043 ips: 35.2601 images/s
[07/27 10:40:41] ppdet.engine INFO: Epoch: [85] [180/732] learning_rate: 0.159564 loss_vfl: 1.337145 loss_bbox: 0.754868 loss_dfl: 0.521931 loss: 2.586025 eta: 2 days, 1:23:31 batch_cost: 1.1160 data_cost: 0.0043 ips: 35.8416 images/s
[07/27 10:41:09] ppdet.engine INFO: Epoch: [85] [200/732] learning_rate: 0.159539 loss_vfl: 1.338834 loss_bbox: 0.761608 loss_dfl: 0.526707 loss: 2.639067 eta: 2 days, 1:23:11 batch_cost: 1.1695 data_cost: 0.0039 ips: 34.2039 images/s
[07/27 10:41:37] ppdet.engine INFO: Epoch: [85] [220/732] learning_rate: 0.159515 loss_vfl: 1.343691 loss_bbox: 0.750661 loss_dfl: 0.516053 loss: 2.610162 eta: 2 days, 1:22:48 batch_cost: 1.1351 data_cost: 0.0134 ips: 35.2391 images/s
[07/27 10:42:04] ppdet.engine INFO: Epoch: [85] [240/732] learning_rate: 0.159490 loss_vfl: 1.366340 loss_bbox: 0.784319 loss_dfl: 0.547978 loss: 2.681655 eta: 2 days, 1:22:26 batch_cost: 1.1400 data_cost: 0.0096 ips: 35.0866 images/s
[07/27 10:42:30] ppdet.engine INFO: Epoch: [85] [260/732] learning_rate: 0.159466 loss_vfl: 1.285537 loss_bbox: 0.717241 loss_dfl: 0.495045 loss: 2.497540 eta: 2 days, 1:22:04 batch_cost: 1.1370 data_cost: 0.0066 ips: 35.1812 images/s
[07/27 10:42:57] ppdet.engine INFO: Epoch: [85] [280/732] learning_rate: 0.159442 loss_vfl: 1.319167 loss_bbox: 0.740645 loss_dfl: 0.511271 loss: 2.606693 eta: 2 days, 1:21:44 batch_cost: 1.1976 data_cost: 0.0101 ips: 33.3989 images/s
[07/27 10:43:24] ppdet.engine INFO: Epoch: [85] [300/732] learning_rate: 0.159417 loss_vfl: 1.287407 loss_bbox: 0.743435 loss_dfl: 0.512694 loss: 2.561756 eta: 2 days, 1:21:20 batch_cost: 1.0974 data_cost: 0.0155 ips: 36.4492 images/s
[07/27 10:43:50] ppdet.engine INFO: Epoch: [85] [320/732] learning_rate: 0.159393 loss_vfl: 1.366508 loss_bbox: 0.779339 loss_dfl: 0.539532 loss: 2.693408 eta: 2 days, 1:20:58 batch_cost: 1.1464 data_cost: 0.0058 ips: 34.8919 images/s
[07/27 10:44:18] ppdet.engine INFO: Epoch: [85] [340/732] learning_rate: 0.159368 loss_vfl: 1.308928 loss_bbox: 0.760353 loss_dfl: 0.517480 loss: 2.586667 eta: 2 days, 1:20:34 batch_cost: 1.1067 data_cost: 0.0059 ips: 36.1447 images/s
[07/27 10:44:43] ppdet.engine INFO: Epoch: [85] [360/732] learning_rate: 0.159344 loss_vfl: 1.285495 loss_bbox: 0.742964 loss_dfl: 0.509883 loss: 2.525508 eta: 2 days, 1:20:08 batch_cost: 1.0537 data_cost: 0.0040 ips: 37.9620 images/s
[07/27 10:45:12] ppdet.engine INFO: Epoch: [85] [380/732] learning_rate: 0.159319 loss_vfl: 1.334365 loss_bbox: 0.763739 loss_dfl: 0.521098 loss: 2.610394 eta: 2 days, 1:19:49 batch_cost: 1.2005 data_cost: 0.0024 ips: 33.3203 images/s
[07/27 10:45:39] ppdet.engine INFO: Epoch: [85] [400/732] learning_rate: 0.159295 loss_vfl: 1.308491 loss_bbox: 0.731966 loss_dfl: 0.511288 loss: 2.552137 eta: 2 days, 1:19:26 batch_cost: 1.1287 data_cost: 0.0043 ips: 35.4379 images/s
[07/27 10:46:06] ppdet.engine INFO: Epoch: [85] [420/732] learning_rate: 0.159270 loss_vfl: 1.306577 loss_bbox: 0.753503 loss_dfl: 0.522924 loss: 2.579319 eta: 2 days, 1:19:05 batch_cost: 1.1696 data_cost: 0.0061 ips: 34.1985 images/s
[07/27 10:46:32] ppdet.engine INFO: Epoch: [85] [440/732] learning_rate: 0.159246 loss_vfl: 1.327835 loss_bbox: 0.756650 loss_dfl: 0.516920 loss: 2.602042 eta: 2 days, 1:18:39 batch_cost: 1.0646 data_cost: 0.0095 ips: 37.5741 images/s
[07/27 10:46:59] ppdet.engine INFO: Epoch: [85] [460/732] learning_rate: 0.159221 loss_vfl: 1.356205 loss_bbox: 0.783755 loss_dfl: 0.530143 loss: 2.641312 eta: 2 days, 1:18:20 batch_cost: 1.2008 data_cost: 0.0018 ips: 33.3109 images/s
[07/27 10:47:26] ppdet.engine INFO: Epoch: [85] [480/732] learning_rate: 0.159197 loss_vfl: 1.328899 loss_bbox: 0.742238 loss_dfl: 0.507290 loss: 2.524068 eta: 2 days, 1:17:57 batch_cost: 1.1279 data_cost: 0.0056 ips: 35.4645 images/s
[07/27 10:47:53] ppdet.engine INFO: Epoch: [85] [500/732] learning_rate: 0.159172 loss_vfl: 1.368293 loss_bbox: 0.785224 loss_dfl: 0.539799 loss: 2.684279 eta: 2 days, 1:17:35 batch_cost: 1.1335 data_cost: 0.0084 ips: 35.2887 images/s
[07/27 10:48:19] ppdet.engine INFO: Epoch: [85] [520/732] learning_rate: 0.159148 loss_vfl: 1.302868 loss_bbox: 0.750360 loss_dfl: 0.511958 loss: 2.568844 eta: 2 days, 1:17:07 batch_cost: 1.0322 data_cost: 0.0062 ips: 38.7540 images/s
[07/27 10:48:45] ppdet.engine INFO: Epoch: [85] [540/732] learning_rate: 0.159123 loss_vfl: 1.403670 loss_bbox: 0.813650 loss_dfl: 0.543091 loss: 2.751880 eta: 2 days, 1:16:37 batch_cost: 0.9739 data_cost: 0.0062 ips: 41.0706 images/s
[07/27 10:49:11] ppdet.engine INFO: Epoch: [85] [560/732] learning_rate: 0.159099 loss_vfl: 1.366369 loss_bbox: 0.778696 loss_dfl: 0.537635 loss: 2.682139 eta: 2 days, 1:16:10 batch_cost: 1.0367 data_cost: 0.0092 ips: 38.5834 images/s
[07/27 10:49:38] ppdet.engine INFO: Epoch: [85] [580/732] learning_rate: 0.159074 loss_vfl: 1.338205 loss_bbox: 0.756366 loss_dfl: 0.528611 loss: 2.611085 eta: 2 days, 1:15:46 batch_cost: 1.1149 data_cost: 0.0047 ips: 35.8767 images/s
[07/27 10:50:06] ppdet.engine INFO: Epoch: [85] [600/732] learning_rate: 0.159050 loss_vfl: 1.380537 loss_bbox: 0.794727 loss_dfl: 0.541838 loss: 2.719486 eta: 2 days, 1:15:26 batch_cost: 1.1832 data_cost: 0.0059 ips: 33.8065 images/s
[07/27 10:50:34] ppdet.engine INFO: Epoch: [85] [620/732] learning_rate: 0.159025 loss_vfl: 1.332969 loss_bbox: 0.749818 loss_dfl: 0.533621 loss: 2.646231 eta: 2 days, 1:15:06 batch_cost: 1.1853 data_cost: 0.0134 ips: 33.7478 images/s
[07/27 10:51:02] ppdet.engine INFO: Epoch: [85] [640/732] learning_rate: 0.159001 loss_vfl: 1.383056 loss_bbox: 0.764241 loss_dfl: 0.537504 loss: 2.698035 eta: 2 days, 1:14:45 batch_cost: 1.1576 data_cost: 0.0041 ips: 34.5545 images/s
[07/27 10:51:27] ppdet.engine INFO: Epoch: [85] [660/732] learning_rate: 0.158976 loss_vfl: 1.350793 loss_bbox: 0.745320 loss_dfl: 0.517846 loss: 2.616884 eta: 2 days, 1:14:15 batch_cost: 0.9831 data_cost: 0.0132 ips: 40.6869 images/s
[07/27 10:51:54] ppdet.engine INFO: Epoch: [85] [680/732] learning_rate: 0.158952 loss_vfl: 1.293763 loss_bbox: 0.750947 loss_dfl: 0.508301 loss: 2.511369 eta: 2 days, 1:13:49 batch_cost: 1.0669 data_cost: 0.0044 ips: 37.4911 images/s
[07/27 10:52:21] ppdet.engine INFO: Epoch: [85] [700/732] learning_rate: 0.158927 loss_vfl: 1.381467 loss_bbox: 0.747185 loss_dfl: 0.534181 loss: 2.681622 eta: 2 days, 1:13:27 batch_cost: 1.1449 data_cost: 0.0055 ips: 34.9378 images/s
[07/27 10:52:48] ppdet.engine INFO: Epoch: [85] [720/732] learning_rate: 0.158903 loss_vfl: 1.381838 loss_bbox: 0.753150 loss_dfl: 0.530436 loss: 2.662916 eta: 2 days, 1:13:04 batch_cost: 1.1295 data_cost: 0.0093 ips: 35.4140 images/s
[07/27 10:53:10] ppdet.engine INFO: Epoch: [86] [  0/732] learning_rate: 0.158888 loss_vfl: 1.351159 loss_bbox: 0.760643 loss_dfl: 0.526157 loss: 2.644722 eta: 2 days, 1:13:07 batch_cost: 1.4230 data_cost: 0.4690 ips: 28.1105 images/s
[07/27 10:53:39] ppdet.engine INFO: Epoch: [86] [ 20/732] learning_rate: 0.158864 loss_vfl: 1.364201 loss_bbox: 0.761033 loss_dfl: 0.538163 loss: 2.661649 eta: 2 days, 1:12:52 batch_cost: 1.2792 data_cost: 0.0069 ips: 31.2690 images/s
[07/27 10:54:05] ppdet.engine INFO: Epoch: [86] [ 40/732] learning_rate: 0.158839 loss_vfl: 1.329347 loss_bbox: 0.731173 loss_dfl: 0.515844 loss: 2.569463 eta: 2 days, 1:12:27 batch_cost: 1.0833 data_cost: 0.0034 ips: 36.9258 images/s
[07/27 10:54:32] ppdet.engine INFO: Epoch: [86] [ 60/732] learning_rate: 0.158814 loss_vfl: 1.263522 loss_bbox: 0.724602 loss_dfl: 0.503830 loss: 2.500918 eta: 2 days, 1:12:03 batch_cost: 1.1178 data_cost: 0.0070 ips: 35.7856 images/s
[07/27 10:55:00] ppdet.engine INFO: Epoch: [86] [ 80/732] learning_rate: 0.158790 loss_vfl: 1.365539 loss_bbox: 0.782115 loss_dfl: 0.536871 loss: 2.700011 eta: 2 days, 1:11:40 batch_cost: 1.1191 data_cost: 0.0149 ips: 35.7443 images/s
[07/27 10:55:27] ppdet.engine INFO: Epoch: [86] [100/732] learning_rate: 0.158765 loss_vfl: 1.351986 loss_bbox: 0.764615 loss_dfl: 0.530689 loss: 2.638411 eta: 2 days, 1:11:16 batch_cost: 1.0942 data_cost: 0.0063 ips: 36.5574 images/s
[07/27 10:55:54] ppdet.engine INFO: Epoch: [86] [120/732] learning_rate: 0.158741 loss_vfl: 1.356453 loss_bbox: 0.762738 loss_dfl: 0.533248 loss: 2.677621 eta: 2 days, 1:10:56 batch_cost: 1.1883 data_cost: 0.0049 ips: 33.6613 images/s
[07/27 10:56:22] ppdet.engine INFO: Epoch: [86] [140/732] learning_rate: 0.158716 loss_vfl: 1.354908 loss_bbox: 0.764589 loss_dfl: 0.536594 loss: 2.660473 eta: 2 days, 1:10:39 batch_cost: 1.2391 data_cost: 0.0051 ips: 32.2810 images/s
[07/27 10:56:48] ppdet.engine INFO: Epoch: [86] [160/732] learning_rate: 0.158692 loss_vfl: 1.357897 loss_bbox: 0.776358 loss_dfl: 0.532179 loss: 2.666130 eta: 2 days, 1:10:16 batch_cost: 1.1285 data_cost: 0.0066 ips: 35.4439 images/s
[07/27 10:57:14] ppdet.engine INFO: Epoch: [86] [180/732] learning_rate: 0.158667 loss_vfl: 1.333314 loss_bbox: 0.768607 loss_dfl: 0.529976 loss: 2.612053 eta: 2 days, 1:09:56 batch_cost: 1.1838 data_cost: 0.0043 ips: 33.7884 images/s
[07/27 10:57:42] ppdet.engine INFO: Epoch: [86] [200/732] learning_rate: 0.158642 loss_vfl: 1.282865 loss_bbox: 0.711338 loss_dfl: 0.493615 loss: 2.490428 eta: 2 days, 1:09:35 batch_cost: 1.1636 data_cost: 0.0061 ips: 34.3752 images/s
[07/27 10:58:08] ppdet.engine INFO: Epoch: [86] [220/732] learning_rate: 0.158618 loss_vfl: 1.319312 loss_bbox: 0.748701 loss_dfl: 0.516642 loss: 2.623993 eta: 2 days, 1:09:14 batch_cost: 1.1637 data_cost: 0.0105 ips: 34.3724 images/s
[07/27 10:58:35] ppdet.engine INFO: Epoch: [86] [240/732] learning_rate: 0.158593 loss_vfl: 1.315594 loss_bbox: 0.728636 loss_dfl: 0.505031 loss: 2.541331 eta: 2 days, 1:08:50 batch_cost: 1.1025 data_cost: 0.0042 ips: 36.2815 images/s
[07/27 10:59:01] ppdet.engine INFO: Epoch: [86] [260/732] learning_rate: 0.158569 loss_vfl: 1.340887 loss_bbox: 0.767395 loss_dfl: 0.526744 loss: 2.606895 eta: 2 days, 1:08:21 batch_cost: 1.0119 data_cost: 0.0022 ips: 39.5280 images/s
[07/27 10:59:27] ppdet.engine INFO: Epoch: [86] [280/732] learning_rate: 0.158544 loss_vfl: 1.302759 loss_bbox: 0.753979 loss_dfl: 0.521639 loss: 2.601159 eta: 2 days, 1:07:55 batch_cost: 1.0559 data_cost: 0.0059 ips: 37.8821 images/s
[07/27 10:59:54] ppdet.engine INFO: Epoch: [86] [300/732] learning_rate: 0.158519 loss_vfl: 1.323985 loss_bbox: 0.747057 loss_dfl: 0.518676 loss: 2.589004 eta: 2 days, 1:07:29 batch_cost: 1.0576 data_cost: 0.0103 ips: 37.8218 images/s
[07/27 11:00:19] ppdet.engine INFO: Epoch: [86] [320/732] learning_rate: 0.158495 loss_vfl: 1.349016 loss_bbox: 0.760390 loss_dfl: 0.532957 loss: 2.661075 eta: 2 days, 1:07:04 batch_cost: 1.0974 data_cost: 0.0090 ips: 36.4487 images/s
[07/27 11:00:46] ppdet.engine INFO: Epoch: [86] [340/732] learning_rate: 0.158470 loss_vfl: 1.345892 loss_bbox: 0.739724 loss_dfl: 0.515774 loss: 2.621410 eta: 2 days, 1:06:42 batch_cost: 1.1358 data_cost: 0.0075 ips: 35.2180 images/s
[07/27 11:01:13] ppdet.engine INFO: Epoch: [86] [360/732] learning_rate: 0.158445 loss_vfl: 1.347467 loss_bbox: 0.758001 loss_dfl: 0.529860 loss: 2.647297 eta: 2 days, 1:06:18 batch_cost: 1.1038 data_cost: 0.0034 ips: 36.2381 images/s
[07/27 11:01:40] ppdet.engine INFO: Epoch: [86] [380/732] learning_rate: 0.158421 loss_vfl: 1.333661 loss_bbox: 0.791452 loss_dfl: 0.538559 loss: 2.663694 eta: 2 days, 1:05:57 batch_cost: 1.1671 data_cost: 0.0090 ips: 34.2744 images/s
[07/27 11:02:06] ppdet.engine INFO: Epoch: [86] [400/732] learning_rate: 0.158396 loss_vfl: 1.335201 loss_bbox: 0.758149 loss_dfl: 0.534128 loss: 2.675184 eta: 2 days, 1:05:35 batch_cost: 1.1447 data_cost: 0.0104 ips: 34.9441 images/s
[07/27 11:02:33] ppdet.engine INFO: Epoch: [86] [420/732] learning_rate: 0.158371 loss_vfl: 1.368733 loss_bbox: 0.807446 loss_dfl: 0.553230 loss: 2.745698 eta: 2 days, 1:05:13 batch_cost: 1.1429 data_cost: 0.0079 ips: 34.9988 images/s
[07/27 11:03:00] ppdet.engine INFO: Epoch: [86] [440/732] learning_rate: 0.158347 loss_vfl: 1.313277 loss_bbox: 0.763732 loss_dfl: 0.529002 loss: 2.602776 eta: 2 days, 1:04:54 batch_cost: 1.1983 data_cost: 0.0054 ips: 33.3815 images/s
[07/27 11:03:27] ppdet.engine INFO: Epoch: [86] [460/732] learning_rate: 0.158322 loss_vfl: 1.338622 loss_bbox: 0.765171 loss_dfl: 0.524925 loss: 2.617123 eta: 2 days, 1:04:34 batch_cost: 1.1822 data_cost: 0.0077 ips: 33.8348 images/s
[07/27 11:03:52] ppdet.engine INFO: Epoch: [86] [480/732] learning_rate: 0.158297 loss_vfl: 1.303231 loss_bbox: 0.765929 loss_dfl: 0.522298 loss: 2.590038 eta: 2 days, 1:04:07 batch_cost: 1.0472 data_cost: 0.0065 ips: 38.1962 images/s
[07/27 11:04:18] ppdet.engine INFO: Epoch: [86] [500/732] learning_rate: 0.158273 loss_vfl: 1.312001 loss_bbox: 0.764635 loss_dfl: 0.526637 loss: 2.608320 eta: 2 days, 1:03:45 batch_cost: 1.1370 data_cost: 0.0052 ips: 35.1803 images/s
[07/27 11:04:46] ppdet.engine INFO: Epoch: [86] [520/732] learning_rate: 0.158248 loss_vfl: 1.261352 loss_bbox: 0.715069 loss_dfl: 0.493402 loss: 2.491253 eta: 2 days, 1:03:24 batch_cost: 1.1720 data_cost: 0.0179 ips: 34.1294 images/s
[07/27 11:05:12] ppdet.engine INFO: Epoch: [86] [540/732] learning_rate: 0.158223 loss_vfl: 1.342931 loss_bbox: 0.774222 loss_dfl: 0.535180 loss: 2.656799 eta: 2 days, 1:03:04 batch_cost: 1.1813 data_cost: 0.0068 ips: 33.8619 images/s
[07/27 11:05:39] ppdet.engine INFO: Epoch: [86] [560/732] learning_rate: 0.158199 loss_vfl: 1.324941 loss_bbox: 0.725073 loss_dfl: 0.506390 loss: 2.554882 eta: 2 days, 1:02:39 batch_cost: 1.0948 data_cost: 0.0051 ips: 36.5372 images/s
[07/27 11:06:07] ppdet.engine INFO: Epoch: [86] [580/732] learning_rate: 0.158174 loss_vfl: 1.361760 loss_bbox: 0.785255 loss_dfl: 0.540542 loss: 2.694913 eta: 2 days, 1:02:18 batch_cost: 1.1479 data_cost: 0.0020 ips: 34.8466 images/s
[07/27 11:06:34] ppdet.engine INFO: Epoch: [86] [600/732] learning_rate: 0.158149 loss_vfl: 1.318718 loss_bbox: 0.768309 loss_dfl: 0.523409 loss: 2.614990 eta: 2 days, 1:01:59 batch_cost: 1.2102 data_cost: 0.0109 ips: 33.0517 images/s
[07/27 11:07:01] ppdet.engine INFO: Epoch: [86] [620/732] learning_rate: 0.158125 loss_vfl: 1.309354 loss_bbox: 0.738812 loss_dfl: 0.513670 loss: 2.553368 eta: 2 days, 1:01:35 batch_cost: 1.1155 data_cost: 0.0029 ips: 35.8587 images/s
[07/27 11:07:27] ppdet.engine INFO: Epoch: [86] [640/732] learning_rate: 0.158100 loss_vfl: 1.326007 loss_bbox: 0.766562 loss_dfl: 0.530463 loss: 2.619715 eta: 2 days, 1:01:12 batch_cost: 1.1178 data_cost: 0.0062 ips: 35.7836 images/s
[07/27 11:07:54] ppdet.engine INFO: Epoch: [86] [660/732] learning_rate: 0.158075 loss_vfl: 1.283124 loss_bbox: 0.732061 loss_dfl: 0.500053 loss: 2.502270 eta: 2 days, 1:00:49 batch_cost: 1.1199 data_cost: 0.0074 ips: 35.7169 images/s
[07/27 11:08:20] ppdet.engine INFO: Epoch: [86] [680/732] learning_rate: 0.158050 loss_vfl: 1.286071 loss_bbox: 0.735698 loss_dfl: 0.509874 loss: 2.516049 eta: 2 days, 1:00:26 batch_cost: 1.1172 data_cost: 0.0070 ips: 35.8023 images/s
[07/27 11:08:48] ppdet.engine INFO: Epoch: [86] [700/732] learning_rate: 0.158026 loss_vfl: 1.382340 loss_bbox: 0.775841 loss_dfl: 0.532918 loss: 2.673290 eta: 2 days, 1:00:07 batch_cost: 1.2060 data_cost: 0.0049 ips: 33.1665 images/s
[07/27 11:09:13] ppdet.engine INFO: Epoch: [86] [720/732] learning_rate: 0.158001 loss_vfl: 1.331445 loss_bbox: 0.759869 loss_dfl: 0.525164 loss: 2.638276 eta: 2 days, 0:59:40 batch_cost: 1.0474 data_cost: 0.0069 ips: 38.1883 images/s
[07/27 11:09:37] ppdet.engine INFO: Epoch: [87] [  0/732] learning_rate: 0.157986 loss_vfl: 1.332492 loss_bbox: 0.759792 loss_dfl: 0.525164 loss: 2.637107 eta: 2 days, 0:59:44 batch_cost: 1.4537 data_cost: 0.3989 ips: 27.5164 images/s
[07/27 11:10:05] ppdet.engine INFO: Epoch: [87] [ 20/732] learning_rate: 0.157961 loss_vfl: 1.332879 loss_bbox: 0.747311 loss_dfl: 0.513241 loss: 2.580854 eta: 2 days, 0:59:24 batch_cost: 1.1940 data_cost: 0.0036 ips: 33.5009 images/s
[07/27 11:10:33] ppdet.engine INFO: Epoch: [87] [ 40/732] learning_rate: 0.157937 loss_vfl: 1.284210 loss_bbox: 0.768649 loss_dfl: 0.526820 loss: 2.594658 eta: 2 days, 0:59:02 batch_cost: 1.1365 data_cost: 0.0039 ips: 35.1961 images/s
[07/27 11:11:00] ppdet.engine INFO: Epoch: [87] [ 60/732] learning_rate: 0.157912 loss_vfl: 1.298054 loss_bbox: 0.762931 loss_dfl: 0.527375 loss: 2.611481 eta: 2 days, 0:58:39 batch_cost: 1.1372 data_cost: 0.0063 ips: 35.1756 images/s
[07/27 11:11:27] ppdet.engine INFO: Epoch: [87] [ 80/732] learning_rate: 0.157887 loss_vfl: 1.316296 loss_bbox: 0.712525 loss_dfl: 0.502372 loss: 2.569683 eta: 2 days, 0:58:16 batch_cost: 1.1123 data_cost: 0.0119 ips: 35.9618 images/s
[07/27 11:11:52] ppdet.engine INFO: Epoch: [87] [100/732] learning_rate: 0.157862 loss_vfl: 1.287905 loss_bbox: 0.743648 loss_dfl: 0.509478 loss: 2.541060 eta: 2 days, 0:57:47 batch_cost: 1.0100 data_cost: 0.0039 ips: 39.6046 images/s
[07/27 11:12:19] ppdet.engine INFO: Epoch: [87] [120/732] learning_rate: 0.157838 loss_vfl: 1.282815 loss_bbox: 0.710678 loss_dfl: 0.499943 loss: 2.498482 eta: 2 days, 0:57:27 batch_cost: 1.1741 data_cost: 0.0033 ips: 34.0675 images/s
[07/27 11:12:44] ppdet.engine INFO: Epoch: [87] [140/732] learning_rate: 0.157813 loss_vfl: 1.342911 loss_bbox: 0.778053 loss_dfl: 0.529811 loss: 2.645205 eta: 2 days, 0:56:58 batch_cost: 1.0102 data_cost: 0.0069 ips: 39.5944 images/s
[07/27 11:13:11] ppdet.engine INFO: Epoch: [87] [160/732] learning_rate: 0.157788 loss_vfl: 1.347088 loss_bbox: 0.769095 loss_dfl: 0.527574 loss: 2.603292 eta: 2 days, 0:56:30 batch_cost: 1.0215 data_cost: 0.0027 ips: 39.1578 images/s
[07/27 11:13:37] ppdet.engine INFO: Epoch: [87] [180/732] learning_rate: 0.157763 loss_vfl: 1.296304 loss_bbox: 0.732445 loss_dfl: 0.517942 loss: 2.565744 eta: 2 days, 0:56:07 batch_cost: 1.1091 data_cost: 0.0089 ips: 36.0663 images/s
[07/27 11:14:05] ppdet.engine INFO: Epoch: [87] [200/732] learning_rate: 0.157739 loss_vfl: 1.320558 loss_bbox: 0.778708 loss_dfl: 0.536485 loss: 2.637297 eta: 2 days, 0:55:45 batch_cost: 1.1600 data_cost: 0.0120 ips: 34.4834 images/s
[07/27 11:14:31] ppdet.engine INFO: Epoch: [87] [220/732] learning_rate: 0.157714 loss_vfl: 1.287627 loss_bbox: 0.744802 loss_dfl: 0.509691 loss: 2.532485 eta: 2 days, 0:55:21 batch_cost: 1.0974 data_cost: 0.0060 ips: 36.4489 images/s
[07/27 11:14:59] ppdet.engine INFO: Epoch: [87] [240/732] learning_rate: 0.157689 loss_vfl: 1.364434 loss_bbox: 0.768475 loss_dfl: 0.537633 loss: 2.677646 eta: 2 days, 0:55:03 batch_cost: 1.2331 data_cost: 0.0042 ips: 32.4379 images/s
[07/27 11:15:26] ppdet.engine INFO: Epoch: [87] [260/732] learning_rate: 0.157664 loss_vfl: 1.340818 loss_bbox: 0.738789 loss_dfl: 0.517672 loss: 2.579823 eta: 2 days, 0:54:40 batch_cost: 1.1198 data_cost: 0.0102 ips: 35.7217 images/s
[07/27 11:15:53] ppdet.engine INFO: Epoch: [87] [280/732] learning_rate: 0.157639 loss_vfl: 1.276050 loss_bbox: 0.737709 loss_dfl: 0.509282 loss: 2.536519 eta: 2 days, 0:54:15 batch_cost: 1.0738 data_cost: 0.0096 ips: 37.2493 images/s
[07/27 11:16:19] ppdet.engine INFO: Epoch: [87] [300/732] learning_rate: 0.157614 loss_vfl: 1.311225 loss_bbox: 0.778836 loss_dfl: 0.527153 loss: 2.618483 eta: 2 days, 0:53:49 batch_cost: 1.0635 data_cost: 0.0037 ips: 37.6123 images/s
[07/27 11:16:47] ppdet.engine INFO: Epoch: [87] [320/732] learning_rate: 0.157590 loss_vfl: 1.345721 loss_bbox: 0.763169 loss_dfl: 0.525026 loss: 2.642063 eta: 2 days, 0:53:28 batch_cost: 1.1556 data_cost: 0.0077 ips: 34.6144 images/s
[07/27 11:17:13] ppdet.engine INFO: Epoch: [87] [340/732] learning_rate: 0.157565 loss_vfl: 1.340393 loss_bbox: 0.780471 loss_dfl: 0.540332 loss: 2.648448 eta: 2 days, 0:53:04 batch_cost: 1.1191 data_cost: 0.0051 ips: 35.7428 images/s
[07/27 11:17:39] ppdet.engine INFO: Epoch: [87] [360/732] learning_rate: 0.157540 loss_vfl: 1.326939 loss_bbox: 0.728380 loss_dfl: 0.514686 loss: 2.588398 eta: 2 days, 0:52:41 batch_cost: 1.1277 data_cost: 0.0102 ips: 35.4716 images/s
[07/27 11:18:06] ppdet.engine INFO: Epoch: [87] [380/732] learning_rate: 0.157515 loss_vfl: 1.330946 loss_bbox: 0.756601 loss_dfl: 0.528900 loss: 2.627154 eta: 2 days, 0:52:18 batch_cost: 1.1044 data_cost: 0.0081 ips: 36.2175 images/s
[07/27 11:18:33] ppdet.engine INFO: Epoch: [87] [400/732] learning_rate: 0.157490 loss_vfl: 1.325418 loss_bbox: 0.747642 loss_dfl: 0.523274 loss: 2.578653 eta: 2 days, 0:51:52 batch_cost: 1.0802 data_cost: 0.0102 ips: 37.0318 images/s
[07/27 11:19:00] ppdet.engine INFO: Epoch: [87] [420/732] learning_rate: 0.157466 loss_vfl: 1.341018 loss_bbox: 0.762515 loss_dfl: 0.520062 loss: 2.605678 eta: 2 days, 0:51:27 batch_cost: 1.0801 data_cost: 0.0206 ips: 37.0339 images/s
[07/27 11:19:28] ppdet.engine INFO: Epoch: [87] [440/732] learning_rate: 0.157441 loss_vfl: 1.311720 loss_bbox: 0.763623 loss_dfl: 0.518424 loss: 2.610600 eta: 2 days, 0:51:06 batch_cost: 1.1568 data_cost: 0.0049 ips: 34.5777 images/s
[07/27 11:19:54] ppdet.engine INFO: Epoch: [87] [460/732] learning_rate: 0.157416 loss_vfl: 1.319420 loss_bbox: 0.744953 loss_dfl: 0.519721 loss: 2.591364 eta: 2 days, 0:50:42 batch_cost: 1.0945 data_cost: 0.0037 ips: 36.5457 images/s
[07/27 11:20:20] ppdet.engine INFO: Epoch: [87] [480/732] learning_rate: 0.157391 loss_vfl: 1.342009 loss_bbox: 0.780128 loss_dfl: 0.540277 loss: 2.695351 eta: 2 days, 0:50:14 batch_cost: 1.0317 data_cost: 0.0048 ips: 38.7697 images/s
[07/27 11:20:47] ppdet.engine INFO: Epoch: [87] [500/732] learning_rate: 0.157366 loss_vfl: 1.319601 loss_bbox: 0.744938 loss_dfl: 0.520164 loss: 2.591121 eta: 2 days, 0:49:50 batch_cost: 1.0914 data_cost: 0.0087 ips: 36.6486 images/s
[07/27 11:21:14] ppdet.engine INFO: Epoch: [87] [520/732] learning_rate: 0.157341 loss_vfl: 1.356879 loss_bbox: 0.772835 loss_dfl: 0.529150 loss: 2.677569 eta: 2 days, 0:49:26 batch_cost: 1.1005 data_cost: 0.0022 ips: 36.3487 images/s
[07/27 11:21:41] ppdet.engine INFO: Epoch: [87] [540/732] learning_rate: 0.157316 loss_vfl: 1.343637 loss_bbox: 0.736920 loss_dfl: 0.523312 loss: 2.596898 eta: 2 days, 0:49:04 batch_cost: 1.1541 data_cost: 0.0023 ips: 34.6599 images/s
[07/27 11:22:09] ppdet.engine INFO: Epoch: [87] [560/732] learning_rate: 0.157291 loss_vfl: 1.293409 loss_bbox: 0.756369 loss_dfl: 0.528877 loss: 2.584202 eta: 2 days, 0:48:43 batch_cost: 1.1616 data_cost: 0.0037 ips: 34.4340 images/s
[07/27 11:22:35] ppdet.engine INFO: Epoch: [87] [580/732] learning_rate: 0.157267 loss_vfl: 1.361313 loss_bbox: 0.771535 loss_dfl: 0.527139 loss: 2.648993 eta: 2 days, 0:48:17 batch_cost: 1.0622 data_cost: 0.0069 ips: 37.6568 images/s
[07/27 11:23:03] ppdet.engine INFO: Epoch: [87] [600/732] learning_rate: 0.157242 loss_vfl: 1.287444 loss_bbox: 0.728069 loss_dfl: 0.500418 loss: 2.458570 eta: 2 days, 0:47:57 batch_cost: 1.1842 data_cost: 0.0055 ips: 33.7767 images/s
[07/27 11:23:30] ppdet.engine INFO: Epoch: [87] [620/732] learning_rate: 0.157217 loss_vfl: 1.307934 loss_bbox: 0.733167 loss_dfl: 0.507806 loss: 2.567220 eta: 2 days, 0:47:31 batch_cost: 1.0722 data_cost: 0.0065 ips: 37.3052 images/s
[07/27 11:23:58] ppdet.engine INFO: Epoch: [87] [640/732] learning_rate: 0.157192 loss_vfl: 1.344300 loss_bbox: 0.769020 loss_dfl: 0.534581 loss: 2.651899 eta: 2 days, 0:47:10 batch_cost: 1.1499 data_cost: 0.0060 ips: 34.7859 images/s
[07/27 11:24:25] ppdet.engine INFO: Epoch: [87] [660/732] learning_rate: 0.157167 loss_vfl: 1.314549 loss_bbox: 0.749402 loss_dfl: 0.519385 loss: 2.554419 eta: 2 days, 0:46:46 batch_cost: 1.1138 data_cost: 0.0032 ips: 35.9115 images/s
[07/27 11:24:51] ppdet.engine INFO: Epoch: [87] [680/732] learning_rate: 0.157142 loss_vfl: 1.333971 loss_bbox: 0.778947 loss_dfl: 0.527074 loss: 2.648260 eta: 2 days, 0:46:21 batch_cost: 1.0669 data_cost: 0.0037 ips: 37.4915 images/s
[07/27 11:25:19] ppdet.engine INFO: Epoch: [87] [700/732] learning_rate: 0.157117 loss_vfl: 1.281212 loss_bbox: 0.745429 loss_dfl: 0.510029 loss: 2.526848 eta: 2 days, 0:45:59 batch_cost: 1.1572 data_cost: 0.0045 ips: 34.5658 images/s
[07/27 11:25:46] ppdet.engine INFO: Epoch: [87] [720/732] learning_rate: 0.157092 loss_vfl: 1.339606 loss_bbox: 0.768259 loss_dfl: 0.533411 loss: 2.646801 eta: 2 days, 0:45:38 batch_cost: 1.1527 data_cost: 0.0045 ips: 34.7004 images/s
[07/27 11:26:05] ppdet.engine INFO: Epoch: [88] [  0/732] learning_rate: 0.157077 loss_vfl: 1.337573 loss_bbox: 0.741088 loss_dfl: 0.524545 loss: 2.604876 eta: 2 days, 0:45:31 batch_cost: 1.2798 data_cost: 0.4425 ips: 31.2538 images/s
[07/27 11:26:36] ppdet.engine INFO: Epoch: [88] [ 20/732] learning_rate: 0.157052 loss_vfl: 1.410211 loss_bbox: 0.767431 loss_dfl: 0.538031 loss: 2.730756 eta: 2 days, 0:45:18 batch_cost: 1.3234 data_cost: 0.0555 ips: 30.2248 images/s
[07/27 11:27:05] ppdet.engine INFO: Epoch: [88] [ 40/732] learning_rate: 0.157027 loss_vfl: 1.309954 loss_bbox: 0.746525 loss_dfl: 0.509320 loss: 2.558658 eta: 2 days, 0:45:03 batch_cost: 1.2873 data_cost: 0.0056 ips: 31.0721 images/s
[07/27 11:27:32] ppdet.engine INFO: Epoch: [88] [ 60/732] learning_rate: 0.157003 loss_vfl: 1.316279 loss_bbox: 0.759057 loss_dfl: 0.527154 loss: 2.597770 eta: 2 days, 0:44:45 batch_cost: 1.2278 data_cost: 0.0068 ips: 32.5776 images/s
[07/27 11:28:00] ppdet.engine INFO: Epoch: [88] [ 80/732] learning_rate: 0.156978 loss_vfl: 1.354737 loss_bbox: 0.749729 loss_dfl: 0.518109 loss: 2.615221 eta: 2 days, 0:44:25 batch_cost: 1.1969 data_cost: 0.0059 ips: 33.4184 images/s
[07/27 11:28:26] ppdet.engine INFO: Epoch: [88] [100/732] learning_rate: 0.156953 loss_vfl: 1.358160 loss_bbox: 0.772978 loss_dfl: 0.532305 loss: 2.669011 eta: 2 days, 0:43:59 batch_cost: 1.0616 data_cost: 0.0057 ips: 37.6785 images/s
[07/27 11:28:54] ppdet.engine INFO: Epoch: [88] [120/732] learning_rate: 0.156928 loss_vfl: 1.294673 loss_bbox: 0.764223 loss_dfl: 0.527518 loss: 2.584566 eta: 2 days, 0:43:36 batch_cost: 1.1254 data_cost: 0.0043 ips: 35.5443 images/s
[07/27 11:29:21] ppdet.engine INFO: Epoch: [88] [140/732] learning_rate: 0.156903 loss_vfl: 1.285770 loss_bbox: 0.718178 loss_dfl: 0.506335 loss: 2.515414 eta: 2 days, 0:43:12 batch_cost: 1.1059 data_cost: 0.0080 ips: 36.1700 images/s
[07/27 11:29:49] ppdet.engine INFO: Epoch: [88] [160/732] learning_rate: 0.156878 loss_vfl: 1.309392 loss_bbox: 0.740484 loss_dfl: 0.520215 loss: 2.587116 eta: 2 days, 0:42:53 batch_cost: 1.2025 data_cost: 0.0031 ips: 33.2643 images/s
[07/27 11:30:15] ppdet.engine INFO: Epoch: [88] [180/732] learning_rate: 0.156853 loss_vfl: 1.280434 loss_bbox: 0.724789 loss_dfl: 0.504000 loss: 2.505582 eta: 2 days, 0:42:28 batch_cost: 1.0728 data_cost: 0.0047 ips: 37.2851 images/s
[07/27 11:30:40] ppdet.engine INFO: Epoch: [88] [200/732] learning_rate: 0.156828 loss_vfl: 1.305030 loss_bbox: 0.740439 loss_dfl: 0.512288 loss: 2.518848 eta: 2 days, 0:41:59 batch_cost: 1.0098 data_cost: 0.0080 ips: 39.6122 images/s
[07/27 11:31:08] ppdet.engine INFO: Epoch: [88] [220/732] learning_rate: 0.156803 loss_vfl: 1.282533 loss_bbox: 0.741701 loss_dfl: 0.520816 loss: 2.593617 eta: 2 days, 0:41:41 batch_cost: 1.2149 data_cost: 0.0020 ips: 32.9254 images/s
[07/27 11:31:37] ppdet.engine INFO: Epoch: [88] [240/732] learning_rate: 0.156778 loss_vfl: 1.334294 loss_bbox: 0.764734 loss_dfl: 0.527274 loss: 2.597989 eta: 2 days, 0:41:21 batch_cost: 1.2001 data_cost: 0.0037 ips: 33.3308 images/s
[07/27 11:32:03] ppdet.engine INFO: Epoch: [88] [260/732] learning_rate: 0.156753 loss_vfl: 1.338904 loss_bbox: 0.777833 loss_dfl: 0.523895 loss: 2.623410 eta: 2 days, 0:40:59 batch_cost: 1.1452 data_cost: 0.0047 ips: 34.9271 images/s
[07/27 11:32:31] ppdet.engine INFO: Epoch: [88] [280/732] learning_rate: 0.156728 loss_vfl: 1.232667 loss_bbox: 0.707149 loss_dfl: 0.488562 loss: 2.415762 eta: 2 days, 0:40:43 batch_cost: 1.2564 data_cost: 0.0047 ips: 31.8379 images/s
[07/27 11:32:58] ppdet.engine INFO: Epoch: [88] [300/732] learning_rate: 0.156703 loss_vfl: 1.336241 loss_bbox: 0.771434 loss_dfl: 0.530561 loss: 2.622558 eta: 2 days, 0:40:19 batch_cost: 1.1007 data_cost: 0.0010 ips: 36.3407 images/s
[07/27 11:33:24] ppdet.engine INFO: Epoch: [88] [320/732] learning_rate: 0.156678 loss_vfl: 1.311831 loss_bbox: 0.734253 loss_dfl: 0.507056 loss: 2.548171 eta: 2 days, 0:39:55 batch_cost: 1.1048 data_cost: 0.0057 ips: 36.2057 images/s
[07/27 11:33:52] ppdet.engine INFO: Epoch: [88] [340/732] learning_rate: 0.156653 loss_vfl: 1.253391 loss_bbox: 0.722624 loss_dfl: 0.515638 loss: 2.506090 eta: 2 days, 0:39:34 batch_cost: 1.1623 data_cost: 0.0066 ips: 34.4131 images/s
[07/27 11:34:20] ppdet.engine INFO: Epoch: [88] [360/732] learning_rate: 0.156628 loss_vfl: 1.305161 loss_bbox: 0.708078 loss_dfl: 0.495296 loss: 2.510257 eta: 2 days, 0:39:12 batch_cost: 1.1420 data_cost: 0.0071 ips: 35.0251 images/s
[07/27 11:34:47] ppdet.engine INFO: Epoch: [88] [380/732] learning_rate: 0.156603 loss_vfl: 1.334497 loss_bbox: 0.773374 loss_dfl: 0.518001 loss: 2.594828 eta: 2 days, 0:38:52 batch_cost: 1.1933 data_cost: 0.0028 ips: 33.5202 images/s
[07/27 11:35:14] ppdet.engine INFO: Epoch: [88] [400/732] learning_rate: 0.156578 loss_vfl: 1.327417 loss_bbox: 0.757098 loss_dfl: 0.527114 loss: 2.632720 eta: 2 days, 0:38:27 batch_cost: 1.0827 data_cost: 0.0039 ips: 36.9436 images/s
[07/27 11:35:40] ppdet.engine INFO: Epoch: [88] [420/732] learning_rate: 0.156553 loss_vfl: 1.335513 loss_bbox: 0.775345 loss_dfl: 0.528024 loss: 2.633704 eta: 2 days, 0:38:03 batch_cost: 1.1081 data_cost: 0.0070 ips: 36.0975 images/s
[07/27 11:36:08] ppdet.engine INFO: Epoch: [88] [440/732] learning_rate: 0.156528 loss_vfl: 1.310151 loss_bbox: 0.756252 loss_dfl: 0.524927 loss: 2.618881 eta: 2 days, 0:37:45 batch_cost: 1.2320 data_cost: 0.0074 ips: 32.4679 images/s
[07/27 11:36:36] ppdet.engine INFO: Epoch: [88] [460/732] learning_rate: 0.156503 loss_vfl: 1.327970 loss_bbox: 0.757154 loss_dfl: 0.525177 loss: 2.597390 eta: 2 days, 0:37:25 batch_cost: 1.1787 data_cost: 0.0060 ips: 33.9343 images/s
[07/27 11:37:03] ppdet.engine INFO: Epoch: [88] [480/732] learning_rate: 0.156478 loss_vfl: 1.336072 loss_bbox: 0.760537 loss_dfl: 0.521201 loss: 2.617935 eta: 2 days, 0:36:56 batch_cost: 0.9961 data_cost: 0.0073 ips: 40.1553 images/s
[07/27 11:37:29] ppdet.engine INFO: Epoch: [88] [500/732] learning_rate: 0.156453 loss_vfl: 1.297452 loss_bbox: 0.724312 loss_dfl: 0.499436 loss: 2.521201 eta: 2 days, 0:36:31 batch_cost: 1.0897 data_cost: 0.0073 ips: 36.7062 images/s
[07/27 11:37:56] ppdet.engine INFO: Epoch: [88] [520/732] learning_rate: 0.156428 loss_vfl: 1.291697 loss_bbox: 0.697643 loss_dfl: 0.497548 loss: 2.512404 eta: 2 days, 0:36:09 batch_cost: 1.1463 data_cost: 0.0119 ips: 34.8951 images/s
[07/27 11:38:24] ppdet.engine INFO: Epoch: [88] [540/732] learning_rate: 0.156403 loss_vfl: 1.303054 loss_bbox: 0.738984 loss_dfl: 0.502206 loss: 2.529236 eta: 2 days, 0:35:50 batch_cost: 1.2060 data_cost: 0.0019 ips: 33.1672 images/s
[07/27 11:38:51] ppdet.engine INFO: Epoch: [88] [560/732] learning_rate: 0.156378 loss_vfl: 1.342330 loss_bbox: 0.750254 loss_dfl: 0.519711 loss: 2.610895 eta: 2 days, 0:35:28 batch_cost: 1.1435 data_cost: 0.0039 ips: 34.9810 images/s
[07/27 11:39:17] ppdet.engine INFO: Epoch: [88] [580/732] learning_rate: 0.156352 loss_vfl: 1.263894 loss_bbox: 0.720742 loss_dfl: 0.497815 loss: 2.452656 eta: 2 days, 0:35:04 batch_cost: 1.0983 data_cost: 0.0110 ips: 36.4201 images/s
[07/27 11:39:44] ppdet.engine INFO: Epoch: [88] [600/732] learning_rate: 0.156327 loss_vfl: 1.365354 loss_bbox: 0.799140 loss_dfl: 0.550930 loss: 2.710219 eta: 2 days, 0:34:44 batch_cost: 1.1894 data_cost: 0.0037 ips: 33.6293 images/s
[07/27 11:40:11] ppdet.engine INFO: Epoch: [88] [620/732] learning_rate: 0.156302 loss_vfl: 1.337283 loss_bbox: 0.800069 loss_dfl: 0.542579 loss: 2.679238 eta: 2 days, 0:34:22 batch_cost: 1.1310 data_cost: 0.0057 ips: 35.3670 images/s
[07/27 11:40:38] ppdet.engine INFO: Epoch: [88] [640/732] learning_rate: 0.156277 loss_vfl: 1.357546 loss_bbox: 0.749990 loss_dfl: 0.520214 loss: 2.613350 eta: 2 days, 0:34:00 batch_cost: 1.1505 data_cost: 0.0102 ips: 34.7682 images/s
[07/27 11:41:04] ppdet.engine INFO: Epoch: [88] [660/732] learning_rate: 0.156252 loss_vfl: 1.301343 loss_bbox: 0.745576 loss_dfl: 0.516126 loss: 2.564964 eta: 2 days, 0:33:38 batch_cost: 1.1473 data_cost: 0.0067 ips: 34.8634 images/s
[07/27 11:41:32] ppdet.engine INFO: Epoch: [88] [680/732] learning_rate: 0.156227 loss_vfl: 1.347632 loss_bbox: 0.772661 loss_dfl: 0.543085 loss: 2.672002 eta: 2 days, 0:33:17 batch_cost: 1.1700 data_cost: 0.0054 ips: 34.1889 images/s
[07/27 11:41:58] ppdet.engine INFO: Epoch: [88] [700/732] learning_rate: 0.156202 loss_vfl: 1.364212 loss_bbox: 0.767549 loss_dfl: 0.528309 loss: 2.664481 eta: 2 days, 0:32:52 batch_cost: 1.0732 data_cost: 0.0103 ips: 37.2702 images/s
[07/27 11:42:26] ppdet.engine INFO: Epoch: [88] [720/732] learning_rate: 0.156177 loss_vfl: 1.290690 loss_bbox: 0.710103 loss_dfl: 0.501158 loss: 2.506758 eta: 2 days, 0:32:33 batch_cost: 1.2151 data_cost: 0.0058 ips: 32.9186 images/s
[07/27 11:42:51] ppdet.engine INFO: Epoch: [89] [  0/732] learning_rate: 0.156162 loss_vfl: 1.313446 loss_bbox: 0.739992 loss_dfl: 0.515192 loss: 2.558870 eta: 2 days, 0:32:39 batch_cost: 1.5559 data_cost: 0.4079 ips: 25.7086 images/s
[07/27 11:43:19] ppdet.engine INFO: Epoch: [89] [ 20/732] learning_rate: 0.156137 loss_vfl: 1.344120 loss_bbox: 0.765483 loss_dfl: 0.535280 loss: 2.667469 eta: 2 days, 0:32:22 batch_cost: 1.2571 data_cost: 0.0044 ips: 31.8193 images/s
[07/27 11:43:47] ppdet.engine INFO: Epoch: [89] [ 40/732] learning_rate: 0.156112 loss_vfl: 1.295559 loss_bbox: 0.744091 loss_dfl: 0.514537 loss: 2.560726 eta: 2 days, 0:32:03 batch_cost: 1.2159 data_cost: 0.0057 ips: 32.8965 images/s
[07/27 11:44:14] ppdet.engine INFO: Epoch: [89] [ 60/732] learning_rate: 0.156086 loss_vfl: 1.294902 loss_bbox: 0.731068 loss_dfl: 0.511490 loss: 2.544425 eta: 2 days, 0:31:38 batch_cost: 1.0780 data_cost: 0.0081 ips: 37.1045 images/s
[07/27 11:44:40] ppdet.engine INFO: Epoch: [89] [ 80/732] learning_rate: 0.156061 loss_vfl: 1.353623 loss_bbox: 0.767411 loss_dfl: 0.534975 loss: 2.630717 eta: 2 days, 0:31:17 batch_cost: 1.1550 data_cost: 0.0044 ips: 34.6318 images/s
[07/27 11:45:09] ppdet.engine INFO: Epoch: [89] [100/732] learning_rate: 0.156036 loss_vfl: 1.288692 loss_bbox: 0.740498 loss_dfl: 0.519459 loss: 2.567189 eta: 2 days, 0:30:59 batch_cost: 1.2284 data_cost: 0.0064 ips: 32.5634 images/s
[07/27 11:45:35] ppdet.engine INFO: Epoch: [89] [120/732] learning_rate: 0.156011 loss_vfl: 1.314285 loss_bbox: 0.745953 loss_dfl: 0.505510 loss: 2.560039 eta: 2 days, 0:30:37 batch_cost: 1.1450 data_cost: 0.0066 ips: 34.9355 images/s
[07/27 11:46:02] ppdet.engine INFO: Epoch: [89] [140/732] learning_rate: 0.155986 loss_vfl: 1.301270 loss_bbox: 0.710085 loss_dfl: 0.494536 loss: 2.524233 eta: 2 days, 0:30:14 batch_cost: 1.1352 data_cost: 0.0110 ips: 35.2367 images/s
[07/27 11:46:28] ppdet.engine INFO: Epoch: [89] [160/732] learning_rate: 0.155961 loss_vfl: 1.363643 loss_bbox: 0.775892 loss_dfl: 0.534469 loss: 2.682365 eta: 2 days, 0:29:49 batch_cost: 1.0798 data_cost: 0.0064 ips: 37.0434 images/s
[07/27 11:46:55] ppdet.engine INFO: Epoch: [89] [180/732] learning_rate: 0.155936 loss_vfl: 1.305210 loss_bbox: 0.726378 loss_dfl: 0.515403 loss: 2.565544 eta: 2 days, 0:29:26 batch_cost: 1.1306 data_cost: 0.0029 ips: 35.3784 images/s
[07/27 11:47:21] ppdet.engine INFO: Epoch: [89] [200/732] learning_rate: 0.155910 loss_vfl: 1.358536 loss_bbox: 0.788404 loss_dfl: 0.549513 loss: 2.710478 eta: 2 days, 0:28:59 batch_cost: 1.0220 data_cost: 0.0053 ips: 39.1404 images/s
[07/27 11:47:49] ppdet.engine INFO: Epoch: [89] [220/732] learning_rate: 0.155885 loss_vfl: 1.315438 loss_bbox: 0.751522 loss_dfl: 0.523526 loss: 2.599831 eta: 2 days, 0:28:38 batch_cost: 1.1722 data_cost: 0.0023 ips: 34.1240 images/s
[07/27 11:48:15] ppdet.engine INFO: Epoch: [89] [240/732] learning_rate: 0.155860 loss_vfl: 1.320148 loss_bbox: 0.752143 loss_dfl: 0.520866 loss: 2.585124 eta: 2 days, 0:28:13 batch_cost: 1.0755 data_cost: 0.0086 ips: 37.1910 images/s
[07/27 11:48:41] ppdet.engine INFO: Epoch: [89] [260/732] learning_rate: 0.155835 loss_vfl: 1.286270 loss_bbox: 0.735570 loss_dfl: 0.510226 loss: 2.516808 eta: 2 days, 0:27:45 batch_cost: 1.0360 data_cost: 0.0151 ips: 38.6102 images/s
[07/27 11:49:08] ppdet.engine INFO: Epoch: [89] [280/732] learning_rate: 0.155810 loss_vfl: 1.330753 loss_bbox: 0.772797 loss_dfl: 0.526016 loss: 2.618693 eta: 2 days, 0:27:23 batch_cost: 1.1389 data_cost: 0.0083 ips: 35.1208 images/s
[07/27 11:49:34] ppdet.engine INFO: Epoch: [89] [300/732] learning_rate: 0.155785 loss_vfl: 1.300687 loss_bbox: 0.721573 loss_dfl: 0.498094 loss: 2.519565 eta: 2 days, 0:27:01 batch_cost: 1.1382 data_cost: 0.0019 ips: 35.1422 images/s
[07/27 11:50:03] ppdet.engine INFO: Epoch: [89] [320/732] learning_rate: 0.155759 loss_vfl: 1.323265 loss_bbox: 0.743876 loss_dfl: 0.524913 loss: 2.611650 eta: 2 days, 0:26:41 batch_cost: 1.1910 data_cost: 0.0201 ips: 33.5856 images/s
[07/27 11:50:29] ppdet.engine INFO: Epoch: [89] [340/732] learning_rate: 0.155734 loss_vfl: 1.294221 loss_bbox: 0.732784 loss_dfl: 0.512388 loss: 2.526861 eta: 2 days, 0:26:18 batch_cost: 1.1159 data_cost: 0.0036 ips: 35.8462 images/s
[07/27 11:50:57] ppdet.engine INFO: Epoch: [89] [360/732] learning_rate: 0.155709 loss_vfl: 1.387847 loss_bbox: 0.782069 loss_dfl: 0.554921 loss: 2.754556 eta: 2 days, 0:25:58 batch_cost: 1.2023 data_cost: 0.0072 ips: 33.2685 images/s
[07/27 11:51:23] ppdet.engine INFO: Epoch: [89] [380/732] learning_rate: 0.155684 loss_vfl: 1.321055 loss_bbox: 0.740152 loss_dfl: 0.520026 loss: 2.579753 eta: 2 days, 0:25:35 batch_cost: 1.1251 data_cost: 0.0068 ips: 35.5528 images/s
[07/27 11:51:49] ppdet.engine INFO: Epoch: [89] [400/732] learning_rate: 0.155659 loss_vfl: 1.381211 loss_bbox: 0.774571 loss_dfl: 0.529321 loss: 2.683244 eta: 2 days, 0:25:09 batch_cost: 1.0455 data_cost: 0.0082 ips: 38.2574 images/s
[07/27 11:52:18] ppdet.engine INFO: Epoch: [89] [420/732] learning_rate: 0.155633 loss_vfl: 1.381302 loss_bbox: 0.778692 loss_dfl: 0.532215 loss: 2.671164 eta: 2 days, 0:24:50 batch_cost: 1.2173 data_cost: 0.0043 ips: 32.8594 images/s
[07/27 11:52:43] ppdet.engine INFO: Epoch: [89] [440/732] learning_rate: 0.155608 loss_vfl: 1.330757 loss_bbox: 0.748045 loss_dfl: 0.523793 loss: 2.600392 eta: 2 days, 0:24:26 batch_cost: 1.1088 data_cost: 0.0085 ips: 36.0743 images/s
[07/27 11:53:10] ppdet.engine INFO: Epoch: [89] [460/732] learning_rate: 0.155583 loss_vfl: 1.336789 loss_bbox: 0.746493 loss_dfl: 0.524679 loss: 2.630224 eta: 2 days, 0:24:04 batch_cost: 1.1394 data_cost: 0.0054 ips: 35.1062 images/s
[07/27 11:53:38] ppdet.engine INFO: Epoch: [89] [480/732] learning_rate: 0.155558 loss_vfl: 1.349366 loss_bbox: 0.743060 loss_dfl: 0.514169 loss: 2.613666 eta: 2 days, 0:23:44 batch_cost: 1.1919 data_cost: 0.0019 ips: 33.5601 images/s
[07/27 11:54:03] ppdet.engine INFO: Epoch: [89] [500/732] learning_rate: 0.155533 loss_vfl: 1.309366 loss_bbox: 0.713808 loss_dfl: 0.502824 loss: 2.540010 eta: 2 days, 0:23:19 batch_cost: 1.0732 data_cost: 0.0043 ips: 37.2702 images/s
[07/27 11:54:30] ppdet.engine INFO: Epoch: [89] [520/732] learning_rate: 0.155507 loss_vfl: 1.331488 loss_bbox: 0.751281 loss_dfl: 0.521894 loss: 2.624713 eta: 2 days, 0:22:58 batch_cost: 1.1732 data_cost: 0.0054 ips: 34.0940 images/s
[07/27 11:54:57] ppdet.engine INFO: Epoch: [89] [540/732] learning_rate: 0.155482 loss_vfl: 1.339454 loss_bbox: 0.733579 loss_dfl: 0.518031 loss: 2.570250 eta: 2 days, 0:22:35 batch_cost: 1.1066 data_cost: 0.0067 ips: 36.1459 images/s
[07/27 11:55:24] ppdet.engine INFO: Epoch: [89] [560/732] learning_rate: 0.155457 loss_vfl: 1.328594 loss_bbox: 0.751645 loss_dfl: 0.518490 loss: 2.592767 eta: 2 days, 0:22:10 batch_cost: 1.0814 data_cost: 0.0076 ips: 36.9880 images/s
[07/27 11:55:50] ppdet.engine INFO: Epoch: [89] [580/732] learning_rate: 0.155432 loss_vfl: 1.303572 loss_bbox: 0.739313 loss_dfl: 0.519449 loss: 2.587121 eta: 2 days, 0:21:43 batch_cost: 1.0415 data_cost: 0.0054 ips: 38.4070 images/s
[07/27 11:56:16] ppdet.engine INFO: Epoch: [89] [600/732] learning_rate: 0.155406 loss_vfl: 1.303972 loss_bbox: 0.755077 loss_dfl: 0.520357 loss: 2.603643 eta: 2 days, 0:21:17 batch_cost: 1.0597 data_cost: 0.0145 ips: 37.7461 images/s
[07/27 11:56:43] ppdet.engine INFO: Epoch: [89] [620/732] learning_rate: 0.155381 loss_vfl: 1.282043 loss_bbox: 0.741216 loss_dfl: 0.505457 loss: 2.511342 eta: 2 days, 0:20:57 batch_cost: 1.1860 data_cost: 0.0068 ips: 33.7272 images/s
[07/27 11:57:10] ppdet.engine INFO: Epoch: [89] [640/732] learning_rate: 0.155356 loss_vfl: 1.318919 loss_bbox: 0.760087 loss_dfl: 0.523551 loss: 2.631260 eta: 2 days, 0:20:34 batch_cost: 1.1221 data_cost: 0.0075 ips: 35.6475 images/s
[07/27 11:57:37] ppdet.engine INFO: Epoch: [89] [660/732] learning_rate: 0.155331 loss_vfl: 1.302890 loss_bbox: 0.730240 loss_dfl: 0.514827 loss: 2.548384 eta: 2 days, 0:20:12 batch_cost: 1.1535 data_cost: 0.0063 ips: 34.6758 images/s
[07/27 11:58:04] ppdet.engine INFO: Epoch: [89] [680/732] learning_rate: 0.155305 loss_vfl: 1.324127 loss_bbox: 0.736670 loss_dfl: 0.511970 loss: 2.573538 eta: 2 days, 0:19:50 batch_cost: 1.1513 data_cost: 0.0063 ips: 34.7445 images/s
[07/27 11:58:30] ppdet.engine INFO: Epoch: [89] [700/732] learning_rate: 0.155280 loss_vfl: 1.371771 loss_bbox: 0.767288 loss_dfl: 0.534901 loss: 2.704832 eta: 2 days, 0:19:24 batch_cost: 1.0492 data_cost: 0.0041 ips: 38.1244 images/s
[07/27 11:58:57] ppdet.engine INFO: Epoch: [89] [720/732] learning_rate: 0.155255 loss_vfl: 1.349151 loss_bbox: 0.780995 loss_dfl: 0.539138 loss: 2.686733 eta: 2 days, 0:19:01 batch_cost: 1.1344 data_cost: 0.0173 ips: 35.2599 images/s
[07/27 11:59:09] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 11:59:10] ppdet.engine INFO: Eval iter: 0
[07/27 11:59:33] ppdet.engine INFO: Eval iter: 100
[07/27 11:59:46] ppdet.engine INFO: Eval iter: 200
[07/27 11:59:58] ppdet.engine INFO: Eval iter: 300
[07/27 12:00:10] ppdet.engine INFO: Eval iter: 400
[07/27 12:00:22] ppdet.engine INFO: Eval iter: 500
[07/27 12:00:34] ppdet.engine INFO: Eval iter: 600
[07/27 12:00:50] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.96s)
creating index...
index created!
[07/27 12:00:51] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.76s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=99.54s).
Accumulating evaluation results...
DONE (t=18.68s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.234
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.363
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.246
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.096
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.246
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.352
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.240
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.392
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.417
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.172
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.460
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.622
[07/27 12:02:56] ppdet.engine INFO: Total sample number: 4952, averge FPS: 56.47623581524311
[07/27 12:02:56] ppdet.engine INFO: Best test bbox ap is 0.234.
[07/27 12:02:57] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 12:02:57] ppdet.engine INFO: Epoch: [90] [  0/732] learning_rate: 0.155240 loss_vfl: 1.299269 loss_bbox: 0.774299 loss_dfl: 0.528398 loss: 2.617515 eta: 2 days, 0:18:37 batch_cost: 0.8461 data_cost: 0.0172 ips: 47.2746 images/s
[07/27 12:03:24] ppdet.engine INFO: Epoch: [90] [ 20/732] learning_rate: 0.155214 loss_vfl: 1.334806 loss_bbox: 0.769510 loss_dfl: 0.537597 loss: 2.652391 eta: 2 days, 0:18:15 batch_cost: 1.1588 data_cost: 0.0033 ips: 34.5184 images/s
[07/27 12:03:51] ppdet.engine INFO: Epoch: [90] [ 40/732] learning_rate: 0.155189 loss_vfl: 1.313988 loss_bbox: 0.750539 loss_dfl: 0.522173 loss: 2.575278 eta: 2 days, 0:17:55 batch_cost: 1.1919 data_cost: 0.0026 ips: 33.5596 images/s
[07/27 12:04:17] ppdet.engine INFO: Epoch: [90] [ 60/732] learning_rate: 0.155164 loss_vfl: 1.360673 loss_bbox: 0.751676 loss_dfl: 0.513812 loss: 2.632032 eta: 2 days, 0:17:30 batch_cost: 1.0696 data_cost: 0.0069 ips: 37.3967 images/s
[07/27 12:04:44] ppdet.engine INFO: Epoch: [90] [ 80/732] learning_rate: 0.155138 loss_vfl: 1.373486 loss_bbox: 0.761816 loss_dfl: 0.528953 loss: 2.661874 eta: 2 days, 0:17:06 batch_cost: 1.1082 data_cost: 0.0056 ips: 36.0943 images/s
[07/27 12:05:10] ppdet.engine INFO: Epoch: [90] [100/732] learning_rate: 0.155113 loss_vfl: 1.309690 loss_bbox: 0.730057 loss_dfl: 0.503076 loss: 2.551789 eta: 2 days, 0:16:44 batch_cost: 1.1386 data_cost: 0.0059 ips: 35.1295 images/s
[07/27 12:05:38] ppdet.engine INFO: Epoch: [90] [120/732] learning_rate: 0.155088 loss_vfl: 1.282716 loss_bbox: 0.730142 loss_dfl: 0.501088 loss: 2.506197 eta: 2 days, 0:16:21 batch_cost: 1.1372 data_cost: 0.0098 ips: 35.1754 images/s
[07/27 12:06:05] ppdet.engine INFO: Epoch: [90] [140/732] learning_rate: 0.155063 loss_vfl: 1.347733 loss_bbox: 0.789400 loss_dfl: 0.554543 loss: 2.733848 eta: 2 days, 0:16:01 batch_cost: 1.1777 data_cost: 0.0111 ips: 33.9649 images/s
[07/27 12:06:30] ppdet.engine INFO: Epoch: [90] [160/732] learning_rate: 0.155037 loss_vfl: 1.311998 loss_bbox: 0.749571 loss_dfl: 0.521661 loss: 2.585166 eta: 2 days, 0:15:35 batch_cost: 1.0669 data_cost: 0.0054 ips: 37.4928 images/s
[07/27 12:06:57] ppdet.engine INFO: Epoch: [90] [180/732] learning_rate: 0.155012 loss_vfl: 1.371021 loss_bbox: 0.792222 loss_dfl: 0.531965 loss: 2.698341 eta: 2 days, 0:15:13 batch_cost: 1.1464 data_cost: 0.0062 ips: 34.8932 images/s
[07/27 12:07:22] ppdet.engine INFO: Epoch: [90] [200/732] learning_rate: 0.154987 loss_vfl: 1.320120 loss_bbox: 0.761897 loss_dfl: 0.532512 loss: 2.612798 eta: 2 days, 0:14:45 batch_cost: 1.0062 data_cost: 0.0061 ips: 39.7553 images/s
[07/27 12:07:50] ppdet.engine INFO: Epoch: [90] [220/732] learning_rate: 0.154961 loss_vfl: 1.307332 loss_bbox: 0.763700 loss_dfl: 0.528798 loss: 2.594247 eta: 2 days, 0:14:25 batch_cost: 1.1795 data_cost: 0.0050 ips: 33.9120 images/s
[07/27 12:08:16] ppdet.engine INFO: Epoch: [90] [240/732] learning_rate: 0.154936 loss_vfl: 1.326720 loss_bbox: 0.756020 loss_dfl: 0.517787 loss: 2.590801 eta: 2 days, 0:14:02 batch_cost: 1.1222 data_cost: 0.0010 ips: 35.6440 images/s
[07/27 12:08:45] ppdet.engine INFO: Epoch: [90] [260/732] learning_rate: 0.154911 loss_vfl: 1.332141 loss_bbox: 0.746847 loss_dfl: 0.518642 loss: 2.585279 eta: 2 days, 0:13:47 batch_cost: 1.2970 data_cost: 0.0017 ips: 30.8415 images/s
[07/27 12:09:10] ppdet.engine INFO: Epoch: [90] [280/732] learning_rate: 0.154885 loss_vfl: 1.305670 loss_bbox: 0.732583 loss_dfl: 0.515108 loss: 2.529213 eta: 2 days, 0:13:22 batch_cost: 1.0965 data_cost: 0.0028 ips: 36.4793 images/s
[07/27 12:09:38] ppdet.engine INFO: Epoch: [90] [300/732] learning_rate: 0.154860 loss_vfl: 1.321241 loss_bbox: 0.752580 loss_dfl: 0.520365 loss: 2.595469 eta: 2 days, 0:13:03 batch_cost: 1.1976 data_cost: 0.0053 ips: 33.3994 images/s
[07/27 12:10:05] ppdet.engine INFO: Epoch: [90] [320/732] learning_rate: 0.154834 loss_vfl: 1.330513 loss_bbox: 0.753653 loss_dfl: 0.527364 loss: 2.615194 eta: 2 days, 0:12:45 batch_cost: 1.2406 data_cost: 0.0054 ips: 32.2413 images/s
[07/27 12:10:31] ppdet.engine INFO: Epoch: [90] [340/732] learning_rate: 0.154809 loss_vfl: 1.327627 loss_bbox: 0.749633 loss_dfl: 0.515769 loss: 2.581082 eta: 2 days, 0:12:21 batch_cost: 1.0864 data_cost: 0.0054 ips: 36.8193 images/s
[07/27 12:10:58] ppdet.engine INFO: Epoch: [90] [360/732] learning_rate: 0.154784 loss_vfl: 1.362961 loss_bbox: 0.786007 loss_dfl: 0.545014 loss: 2.711679 eta: 2 days, 0:11:57 batch_cost: 1.1210 data_cost: 0.0034 ips: 35.6832 images/s
[07/27 12:11:25] ppdet.engine INFO: Epoch: [90] [380/732] learning_rate: 0.154758 loss_vfl: 1.357049 loss_bbox: 0.762821 loss_dfl: 0.525219 loss: 2.629954 eta: 2 days, 0:11:33 batch_cost: 1.0925 data_cost: 0.0070 ips: 36.6131 images/s
[07/27 12:11:52] ppdet.engine INFO: Epoch: [90] [400/732] learning_rate: 0.154733 loss_vfl: 1.299699 loss_bbox: 0.725471 loss_dfl: 0.508801 loss: 2.537620 eta: 2 days, 0:11:12 batch_cost: 1.1664 data_cost: 0.0108 ips: 34.2941 images/s
[07/27 12:12:19] ppdet.engine INFO: Epoch: [90] [420/732] learning_rate: 0.154708 loss_vfl: 1.267092 loss_bbox: 0.711730 loss_dfl: 0.500126 loss: 2.494412 eta: 2 days, 0:10:51 batch_cost: 1.1657 data_cost: 0.0019 ips: 34.3137 images/s
[07/27 12:12:45] ppdet.engine INFO: Epoch: [90] [440/732] learning_rate: 0.154682 loss_vfl: 1.363655 loss_bbox: 0.778165 loss_dfl: 0.542326 loss: 2.687379 eta: 2 days, 0:10:27 batch_cost: 1.1019 data_cost: 0.0019 ips: 36.3018 images/s
[07/27 12:13:13] ppdet.engine INFO: Epoch: [90] [460/732] learning_rate: 0.154657 loss_vfl: 1.305975 loss_bbox: 0.701762 loss_dfl: 0.490884 loss: 2.483275 eta: 2 days, 0:10:08 batch_cost: 1.2103 data_cost: 0.0040 ips: 33.0504 images/s
[07/27 12:13:40] ppdet.engine INFO: Epoch: [90] [480/732] learning_rate: 0.154631 loss_vfl: 1.336160 loss_bbox: 0.735483 loss_dfl: 0.514680 loss: 2.586126 eta: 2 days, 0:09:44 batch_cost: 1.0983 data_cost: 0.0038 ips: 36.4184 images/s
[07/27 12:14:05] ppdet.engine INFO: Epoch: [90] [500/732] learning_rate: 0.154606 loss_vfl: 1.296954 loss_bbox: 0.752378 loss_dfl: 0.523886 loss: 2.606198 eta: 2 days, 0:09:17 batch_cost: 1.0448 data_cost: 0.0053 ips: 38.2839 images/s
[07/27 12:14:33] ppdet.engine INFO: Epoch: [90] [520/732] learning_rate: 0.154581 loss_vfl: 1.329599 loss_bbox: 0.773274 loss_dfl: 0.529884 loss: 2.634497 eta: 2 days, 0:08:59 batch_cost: 1.2210 data_cost: 0.0019 ips: 32.7602 images/s
[07/27 12:14:59] ppdet.engine INFO: Epoch: [90] [540/732] learning_rate: 0.154555 loss_vfl: 1.326356 loss_bbox: 0.759296 loss_dfl: 0.519454 loss: 2.609196 eta: 2 days, 0:08:34 batch_cost: 1.0974 data_cost: 0.0103 ips: 36.4509 images/s
[07/27 12:15:27] ppdet.engine INFO: Epoch: [90] [560/732] learning_rate: 0.154530 loss_vfl: 1.292318 loss_bbox: 0.743828 loss_dfl: 0.514063 loss: 2.550563 eta: 2 days, 0:08:12 batch_cost: 1.1343 data_cost: 0.0021 ips: 35.2626 images/s
[07/27 12:15:54] ppdet.engine INFO: Epoch: [90] [580/732] learning_rate: 0.154504 loss_vfl: 1.306895 loss_bbox: 0.737407 loss_dfl: 0.505785 loss: 2.551310 eta: 2 days, 0:07:51 batch_cost: 1.1614 data_cost: 0.0075 ips: 34.4399 images/s
[07/27 12:16:19] ppdet.engine INFO: Epoch: [90] [600/732] learning_rate: 0.154479 loss_vfl: 1.351557 loss_bbox: 0.774551 loss_dfl: 0.535976 loss: 2.639677 eta: 2 days, 0:07:25 batch_cost: 1.0604 data_cost: 0.0089 ips: 37.7210 images/s
[07/27 12:16:47] ppdet.engine INFO: Epoch: [90] [620/732] learning_rate: 0.154453 loss_vfl: 1.313128 loss_bbox: 0.742276 loss_dfl: 0.516242 loss: 2.568843 eta: 2 days, 0:07:07 batch_cost: 1.2422 data_cost: 0.0045 ips: 32.2020 images/s
[07/27 12:17:14] ppdet.engine INFO: Epoch: [90] [640/732] learning_rate: 0.154428 loss_vfl: 1.317015 loss_bbox: 0.756023 loss_dfl: 0.525314 loss: 2.575562 eta: 2 days, 0:06:47 batch_cost: 1.1860 data_cost: 0.0054 ips: 33.7269 images/s
[07/27 12:17:42] ppdet.engine INFO: Epoch: [90] [660/732] learning_rate: 0.154403 loss_vfl: 1.317177 loss_bbox: 0.741119 loss_dfl: 0.513409 loss: 2.572743 eta: 2 days, 0:06:23 batch_cost: 1.1044 data_cost: 0.0075 ips: 36.2192 images/s
[07/27 12:18:09] ppdet.engine INFO: Epoch: [90] [680/732] learning_rate: 0.154377 loss_vfl: 1.339485 loss_bbox: 0.770385 loss_dfl: 0.542396 loss: 2.683717 eta: 2 days, 0:06:01 batch_cost: 1.1332 data_cost: 0.0116 ips: 35.2970 images/s
[07/27 12:18:36] ppdet.engine INFO: Epoch: [90] [700/732] learning_rate: 0.154352 loss_vfl: 1.308761 loss_bbox: 0.741669 loss_dfl: 0.514889 loss: 2.563488 eta: 2 days, 0:05:39 batch_cost: 1.1521 data_cost: 0.0042 ips: 34.7194 images/s
[07/27 12:19:03] ppdet.engine INFO: Epoch: [90] [720/732] learning_rate: 0.154326 loss_vfl: 1.373589 loss_bbox: 0.776991 loss_dfl: 0.544445 loss: 2.710613 eta: 2 days, 0:05:18 batch_cost: 1.1666 data_cost: 0.0027 ips: 34.2884 images/s
[07/27 12:19:24] ppdet.engine INFO: Epoch: [91] [  0/732] learning_rate: 0.154311 loss_vfl: 1.328850 loss_bbox: 0.761557 loss_dfl: 0.532546 loss: 2.620119 eta: 2 days, 0:05:15 batch_cost: 1.3275 data_cost: 0.5026 ips: 30.1319 images/s
[07/27 12:19:55] ppdet.engine INFO: Epoch: [91] [ 20/732] learning_rate: 0.154286 loss_vfl: 1.340497 loss_bbox: 0.742037 loss_dfl: 0.512394 loss: 2.599566 eta: 2 days, 0:05:02 batch_cost: 1.3479 data_cost: 0.0082 ips: 29.6757 images/s
[07/27 12:20:21] ppdet.engine INFO: Epoch: [91] [ 40/732] learning_rate: 0.154260 loss_vfl: 1.299114 loss_bbox: 0.733823 loss_dfl: 0.511470 loss: 2.525548 eta: 2 days, 0:04:37 batch_cost: 1.0730 data_cost: 0.0061 ips: 37.2770 images/s
[07/27 12:20:48] ppdet.engine INFO: Epoch: [91] [ 60/732] learning_rate: 0.154235 loss_vfl: 1.352740 loss_bbox: 0.761872 loss_dfl: 0.535112 loss: 2.658525 eta: 2 days, 0:04:14 batch_cost: 1.1202 data_cost: 0.0083 ips: 35.7065 images/s
[07/27 12:21:14] ppdet.engine INFO: Epoch: [91] [ 80/732] learning_rate: 0.154209 loss_vfl: 1.283879 loss_bbox: 0.737909 loss_dfl: 0.509833 loss: 2.540421 eta: 2 days, 0:03:49 batch_cost: 1.0862 data_cost: 0.0063 ips: 36.8258 images/s
[07/27 12:21:43] ppdet.engine INFO: Epoch: [91] [100/732] learning_rate: 0.154184 loss_vfl: 1.316608 loss_bbox: 0.728713 loss_dfl: 0.505648 loss: 2.541465 eta: 2 days, 0:03:30 batch_cost: 1.1970 data_cost: 0.0053 ips: 33.4178 images/s
[07/27 12:22:10] ppdet.engine INFO: Epoch: [91] [120/732] learning_rate: 0.154158 loss_vfl: 1.312711 loss_bbox: 0.722008 loss_dfl: 0.509674 loss: 2.544393 eta: 2 days, 0:03:10 batch_cost: 1.1880 data_cost: 0.0036 ips: 33.6701 images/s
[07/27 12:22:37] ppdet.engine INFO: Epoch: [91] [140/732] learning_rate: 0.154133 loss_vfl: 1.295236 loss_bbox: 0.732599 loss_dfl: 0.508768 loss: 2.545719 eta: 2 days, 0:02:47 batch_cost: 1.1248 data_cost: 0.0084 ips: 35.5617 images/s
[07/27 12:23:03] ppdet.engine INFO: Epoch: [91] [160/732] learning_rate: 0.154107 loss_vfl: 1.298949 loss_bbox: 0.746232 loss_dfl: 0.509714 loss: 2.515415 eta: 2 days, 0:02:22 batch_cost: 1.0826 data_cost: 0.0059 ips: 36.9494 images/s
[07/27 12:23:30] ppdet.engine INFO: Epoch: [91] [180/732] learning_rate: 0.154082 loss_vfl: 1.339658 loss_bbox: 0.739627 loss_dfl: 0.523350 loss: 2.622633 eta: 2 days, 0:01:59 batch_cost: 1.1346 data_cost: 0.0109 ips: 35.2553 images/s
[07/27 12:23:59] ppdet.engine INFO: Epoch: [91] [200/732] learning_rate: 0.154056 loss_vfl: 1.348355 loss_bbox: 0.739994 loss_dfl: 0.526283 loss: 2.624815 eta: 2 days, 0:01:37 batch_cost: 1.1304 data_cost: 0.0106 ips: 35.3870 images/s
[07/27 12:24:25] ppdet.engine INFO: Epoch: [91] [220/732] learning_rate: 0.154031 loss_vfl: 1.391291 loss_bbox: 0.778233 loss_dfl: 0.548251 loss: 2.756087 eta: 2 days, 0:01:12 batch_cost: 1.0846 data_cost: 0.0174 ips: 36.8784 images/s
[07/27 12:24:52] ppdet.engine INFO: Epoch: [91] [240/732] learning_rate: 0.154005 loss_vfl: 1.288716 loss_bbox: 0.755306 loss_dfl: 0.521698 loss: 2.556596 eta: 2 days, 0:00:48 batch_cost: 1.1149 data_cost: 0.0046 ips: 35.8779 images/s
[07/27 12:25:21] ppdet.engine INFO: Epoch: [91] [260/732] learning_rate: 0.153980 loss_vfl: 1.357604 loss_bbox: 0.785412 loss_dfl: 0.539280 loss: 2.681447 eta: 2 days, 0:00:32 batch_cost: 1.2571 data_cost: 0.0066 ips: 31.8184 images/s
[07/27 12:25:46] ppdet.engine INFO: Epoch: [91] [280/732] learning_rate: 0.153954 loss_vfl: 1.274829 loss_bbox: 0.722780 loss_dfl: 0.507279 loss: 2.512322 eta: 2 days, 0:00:03 batch_cost: 1.0112 data_cost: 0.0064 ips: 39.5589 images/s
[07/27 12:26:13] ppdet.engine INFO: Epoch: [91] [300/732] learning_rate: 0.153929 loss_vfl: 1.380843 loss_bbox: 0.772020 loss_dfl: 0.536176 loss: 2.686988 eta: 1 day, 23:59:38 batch_cost: 1.0680 data_cost: 0.0134 ips: 37.4546 images/s
[07/27 12:26:40] ppdet.engine INFO: Epoch: [91] [320/732] learning_rate: 0.153903 loss_vfl: 1.368929 loss_bbox: 0.761721 loss_dfl: 0.530803 loss: 2.660119 eta: 1 day, 23:59:14 batch_cost: 1.1080 data_cost: 0.0100 ips: 36.1015 images/s
[07/27 12:27:07] ppdet.engine INFO: Epoch: [91] [340/732] learning_rate: 0.153877 loss_vfl: 1.304852 loss_bbox: 0.744395 loss_dfl: 0.523833 loss: 2.568215 eta: 1 day, 23:58:50 batch_cost: 1.0989 data_cost: 0.0073 ips: 36.3998 images/s
[07/27 12:27:35] ppdet.engine INFO: Epoch: [91] [360/732] learning_rate: 0.153852 loss_vfl: 1.367902 loss_bbox: 0.796431 loss_dfl: 0.541173 loss: 2.674622 eta: 1 day, 23:58:26 batch_cost: 1.0914 data_cost: 0.0082 ips: 36.6491 images/s
[07/27 12:28:00] ppdet.engine INFO: Epoch: [91] [380/732] learning_rate: 0.153826 loss_vfl: 1.269031 loss_bbox: 0.722439 loss_dfl: 0.510486 loss: 2.480364 eta: 1 day, 23:57:58 batch_cost: 1.0327 data_cost: 0.0027 ips: 38.7326 images/s
[07/27 12:28:27] ppdet.engine INFO: Epoch: [91] [400/732] learning_rate: 0.153801 loss_vfl: 1.224645 loss_bbox: 0.715652 loss_dfl: 0.489125 loss: 2.420963 eta: 1 day, 23:57:35 batch_cost: 1.1145 data_cost: 0.0063 ips: 35.8910 images/s
[07/27 12:28:53] ppdet.engine INFO: Epoch: [91] [420/732] learning_rate: 0.153775 loss_vfl: 1.327470 loss_bbox: 0.755405 loss_dfl: 0.520073 loss: 2.581522 eta: 1 day, 23:57:10 batch_cost: 1.0829 data_cost: 0.0110 ips: 36.9382 images/s
[07/27 12:29:20] ppdet.engine INFO: Epoch: [91] [440/732] learning_rate: 0.153750 loss_vfl: 1.320521 loss_bbox: 0.721146 loss_dfl: 0.514232 loss: 2.549436 eta: 1 day, 23:56:49 batch_cost: 1.1692 data_cost: 0.0128 ips: 34.2106 images/s
[07/27 12:29:48] ppdet.engine INFO: Epoch: [91] [460/732] learning_rate: 0.153724 loss_vfl: 1.298641 loss_bbox: 0.721748 loss_dfl: 0.513297 loss: 2.547536 eta: 1 day, 23:56:31 batch_cost: 1.2212 data_cost: 0.0032 ips: 32.7534 images/s
[07/27 12:30:14] ppdet.engine INFO: Epoch: [91] [480/732] learning_rate: 0.153699 loss_vfl: 1.303608 loss_bbox: 0.736009 loss_dfl: 0.516714 loss: 2.570440 eta: 1 day, 23:56:09 batch_cost: 1.1448 data_cost: 0.0039 ips: 34.9392 images/s
[07/27 12:30:40] ppdet.engine INFO: Epoch: [91] [500/732] learning_rate: 0.153673 loss_vfl: 1.320451 loss_bbox: 0.746473 loss_dfl: 0.518028 loss: 2.589126 eta: 1 day, 23:55:44 batch_cost: 1.0835 data_cost: 0.0027 ips: 36.9169 images/s
[07/27 12:31:07] ppdet.engine INFO: Epoch: [91] [520/732] learning_rate: 0.153647 loss_vfl: 1.355695 loss_bbox: 0.762955 loss_dfl: 0.535207 loss: 2.674363 eta: 1 day, 23:55:21 batch_cost: 1.1258 data_cost: 0.0046 ips: 35.5295 images/s
[07/27 12:31:35] ppdet.engine INFO: Epoch: [91] [540/732] learning_rate: 0.153622 loss_vfl: 1.366207 loss_bbox: 0.783001 loss_dfl: 0.541668 loss: 2.663840 eta: 1 day, 23:54:59 batch_cost: 1.1508 data_cost: 0.0089 ips: 34.7577 images/s
[07/27 12:32:02] ppdet.engine INFO: Epoch: [91] [560/732] learning_rate: 0.153596 loss_vfl: 1.316791 loss_bbox: 0.725608 loss_dfl: 0.504382 loss: 2.566622 eta: 1 day, 23:54:36 batch_cost: 1.1104 data_cost: 0.0027 ips: 36.0233 images/s
[07/27 12:32:29] ppdet.engine INFO: Epoch: [91] [580/732] learning_rate: 0.153571 loss_vfl: 1.346995 loss_bbox: 0.741527 loss_dfl: 0.522448 loss: 2.591724 eta: 1 day, 23:54:14 batch_cost: 1.1458 data_cost: 0.0153 ips: 34.9114 images/s
[07/27 12:32:56] ppdet.engine INFO: Epoch: [91] [600/732] learning_rate: 0.153545 loss_vfl: 1.348616 loss_bbox: 0.768260 loss_dfl: 0.530294 loss: 2.632409 eta: 1 day, 23:53:52 batch_cost: 1.1573 data_cost: 0.0065 ips: 34.5643 images/s
[07/27 12:33:22] ppdet.engine INFO: Epoch: [91] [620/732] learning_rate: 0.153519 loss_vfl: 1.315576 loss_bbox: 0.747683 loss_dfl: 0.520993 loss: 2.592527 eta: 1 day, 23:53:30 batch_cost: 1.1327 data_cost: 0.0097 ips: 35.3127 images/s
[07/27 12:33:50] ppdet.engine INFO: Epoch: [91] [640/732] learning_rate: 0.153494 loss_vfl: 1.322189 loss_bbox: 0.757436 loss_dfl: 0.517816 loss: 2.589220 eta: 1 day, 23:53:10 batch_cost: 1.2028 data_cost: 0.0048 ips: 33.2562 images/s
[07/27 12:34:16] ppdet.engine INFO: Epoch: [91] [660/732] learning_rate: 0.153468 loss_vfl: 1.224105 loss_bbox: 0.699688 loss_dfl: 0.489834 loss: 2.437300 eta: 1 day, 23:52:48 batch_cost: 1.1300 data_cost: 0.0056 ips: 35.3982 images/s
[07/27 12:34:43] ppdet.engine INFO: Epoch: [91] [680/732] learning_rate: 0.153443 loss_vfl: 1.318942 loss_bbox: 0.769229 loss_dfl: 0.538311 loss: 2.665273 eta: 1 day, 23:52:25 batch_cost: 1.1395 data_cost: 0.0088 ips: 35.1043 images/s
[07/27 12:35:10] ppdet.engine INFO: Epoch: [91] [700/732] learning_rate: 0.153417 loss_vfl: 1.300861 loss_bbox: 0.725603 loss_dfl: 0.515147 loss: 2.542597 eta: 1 day, 23:52:03 batch_cost: 1.1396 data_cost: 0.0082 ips: 35.1009 images/s
[07/27 12:35:38] ppdet.engine INFO: Epoch: [91] [720/732] learning_rate: 0.153391 loss_vfl: 1.362692 loss_bbox: 0.773711 loss_dfl: 0.537623 loss: 2.666875 eta: 1 day, 23:51:43 batch_cost: 1.1961 data_cost: 0.0070 ips: 33.4406 images/s
[07/27 12:35:58] ppdet.engine INFO: Epoch: [92] [  0/732] learning_rate: 0.153376 loss_vfl: 1.372766 loss_bbox: 0.790094 loss_dfl: 0.542852 loss: 2.707088 eta: 1 day, 23:51:39 batch_cost: 1.2946 data_cost: 0.4164 ips: 30.8972 images/s
[07/27 12:36:29] ppdet.engine INFO: Epoch: [92] [ 20/732] learning_rate: 0.153350 loss_vfl: 1.290743 loss_bbox: 0.721800 loss_dfl: 0.508633 loss: 2.549915 eta: 1 day, 23:51:26 batch_cost: 1.3492 data_cost: 0.0348 ips: 29.6469 images/s
[07/27 12:36:57] ppdet.engine INFO: Epoch: [92] [ 40/732] learning_rate: 0.153325 loss_vfl: 1.270223 loss_bbox: 0.714639 loss_dfl: 0.499453 loss: 2.478445 eta: 1 day, 23:51:08 batch_cost: 1.2401 data_cost: 0.0030 ips: 32.2564 images/s
[07/27 12:37:23] ppdet.engine INFO: Epoch: [92] [ 60/732] learning_rate: 0.153299 loss_vfl: 1.370178 loss_bbox: 0.770590 loss_dfl: 0.538360 loss: 2.701195 eta: 1 day, 23:50:47 batch_cost: 1.1563 data_cost: 0.0088 ips: 34.5921 images/s
[07/27 12:37:50] ppdet.engine INFO: Epoch: [92] [ 80/732] learning_rate: 0.153273 loss_vfl: 1.318281 loss_bbox: 0.727091 loss_dfl: 0.509558 loss: 2.557924 eta: 1 day, 23:50:22 batch_cost: 1.0957 data_cost: 0.0101 ips: 36.5065 images/s
[07/27 12:38:15] ppdet.engine INFO: Epoch: [92] [100/732] learning_rate: 0.153248 loss_vfl: 1.314850 loss_bbox: 0.762672 loss_dfl: 0.521229 loss: 2.579906 eta: 1 day, 23:49:57 batch_cost: 1.0749 data_cost: 0.0045 ips: 37.2111 images/s
[07/27 12:38:41] ppdet.engine INFO: Epoch: [92] [120/732] learning_rate: 0.153222 loss_vfl: 1.386698 loss_bbox: 0.792720 loss_dfl: 0.544301 loss: 2.723637 eta: 1 day, 23:49:34 batch_cost: 1.1268 data_cost: 0.0055 ips: 35.4985 images/s
[07/27 12:39:08] ppdet.engine INFO: Epoch: [92] [140/732] learning_rate: 0.153196 loss_vfl: 1.303190 loss_bbox: 0.722067 loss_dfl: 0.504394 loss: 2.512435 eta: 1 day, 23:49:13 batch_cost: 1.1677 data_cost: 0.0044 ips: 34.2544 images/s
[07/27 12:39:36] ppdet.engine INFO: Epoch: [92] [160/732] learning_rate: 0.153171 loss_vfl: 1.309065 loss_bbox: 0.759974 loss_dfl: 0.528663 loss: 2.614671 eta: 1 day, 23:48:54 batch_cost: 1.2130 data_cost: 0.0037 ips: 32.9750 images/s
[07/27 12:40:03] ppdet.engine INFO: Epoch: [92] [180/732] learning_rate: 0.153145 loss_vfl: 1.309586 loss_bbox: 0.756610 loss_dfl: 0.527886 loss: 2.624772 eta: 1 day, 23:48:30 batch_cost: 1.0996 data_cost: 0.0078 ips: 36.3756 images/s
[07/27 12:40:29] ppdet.engine INFO: Epoch: [92] [200/732] learning_rate: 0.153119 loss_vfl: 1.327224 loss_bbox: 0.765925 loss_dfl: 0.522837 loss: 2.638546 eta: 1 day, 23:48:09 batch_cost: 1.1605 data_cost: 0.0039 ips: 34.4678 images/s
[07/27 12:40:55] ppdet.engine INFO: Epoch: [92] [220/732] learning_rate: 0.153094 loss_vfl: 1.286401 loss_bbox: 0.716515 loss_dfl: 0.501120 loss: 2.504035 eta: 1 day, 23:47:46 batch_cost: 1.1236 data_cost: 0.0033 ips: 35.5995 images/s
[07/27 12:41:21] ppdet.engine INFO: Epoch: [92] [240/732] learning_rate: 0.153068 loss_vfl: 1.289325 loss_bbox: 0.715037 loss_dfl: 0.503157 loss: 2.495145 eta: 1 day, 23:47:21 batch_cost: 1.0891 data_cost: 0.0043 ips: 36.7269 images/s
[07/27 12:41:48] ppdet.engine INFO: Epoch: [92] [260/732] learning_rate: 0.153042 loss_vfl: 1.323505 loss_bbox: 0.736797 loss_dfl: 0.511217 loss: 2.552313 eta: 1 day, 23:47:00 batch_cost: 1.1518 data_cost: 0.0047 ips: 34.7280 images/s
[07/27 12:42:14] ppdet.engine INFO: Epoch: [92] [280/732] learning_rate: 0.153017 loss_vfl: 1.333327 loss_bbox: 0.747949 loss_dfl: 0.527606 loss: 2.626684 eta: 1 day, 23:46:31 batch_cost: 1.0103 data_cost: 0.0108 ips: 39.5935 images/s
[07/27 12:42:39] ppdet.engine INFO: Epoch: [92] [300/732] learning_rate: 0.152991 loss_vfl: 1.276901 loss_bbox: 0.750433 loss_dfl: 0.521769 loss: 2.588295 eta: 1 day, 23:46:06 batch_cost: 1.0591 data_cost: 0.0061 ips: 37.7685 images/s
[07/27 12:43:06] ppdet.engine INFO: Epoch: [92] [320/732] learning_rate: 0.152965 loss_vfl: 1.297679 loss_bbox: 0.745903 loss_dfl: 0.526002 loss: 2.626106 eta: 1 day, 23:45:41 batch_cost: 1.0995 data_cost: 0.0088 ips: 36.3809 images/s
[07/27 12:43:32] ppdet.engine INFO: Epoch: [92] [340/732] learning_rate: 0.152940 loss_vfl: 1.333014 loss_bbox: 0.757894 loss_dfl: 0.525244 loss: 2.605455 eta: 1 day, 23:45:19 batch_cost: 1.1291 data_cost: 0.0069 ips: 35.4259 images/s
[07/27 12:44:00] ppdet.engine INFO: Epoch: [92] [360/732] learning_rate: 0.152914 loss_vfl: 1.349331 loss_bbox: 0.737229 loss_dfl: 0.526823 loss: 2.621244 eta: 1 day, 23:44:58 batch_cost: 1.1665 data_cost: 0.0078 ips: 34.2913 images/s
[07/27 12:44:26] ppdet.engine INFO: Epoch: [92] [380/732] learning_rate: 0.152888 loss_vfl: 1.269779 loss_bbox: 0.731712 loss_dfl: 0.494933 loss: 2.498910 eta: 1 day, 23:44:33 batch_cost: 1.0832 data_cost: 0.0063 ips: 36.9272 images/s
[07/27 12:44:53] ppdet.engine INFO: Epoch: [92] [400/732] learning_rate: 0.152862 loss_vfl: 1.289995 loss_bbox: 0.744176 loss_dfl: 0.522412 loss: 2.578808 eta: 1 day, 23:44:11 batch_cost: 1.1563 data_cost: 0.0064 ips: 34.5921 images/s
[07/27 12:45:20] ppdet.engine INFO: Epoch: [92] [420/732] learning_rate: 0.152837 loss_vfl: 1.318776 loss_bbox: 0.759513 loss_dfl: 0.527129 loss: 2.609142 eta: 1 day, 23:43:49 batch_cost: 1.1368 data_cost: 0.0047 ips: 35.1851 images/s
[07/27 12:45:46] ppdet.engine INFO: Epoch: [92] [440/732] learning_rate: 0.152811 loss_vfl: 1.365734 loss_bbox: 0.787596 loss_dfl: 0.540473 loss: 2.696966 eta: 1 day, 23:43:24 batch_cost: 1.0873 data_cost: 0.0046 ips: 36.7884 images/s
[07/27 12:46:13] ppdet.engine INFO: Epoch: [92] [460/732] learning_rate: 0.152785 loss_vfl: 1.303411 loss_bbox: 0.735571 loss_dfl: 0.511213 loss: 2.555299 eta: 1 day, 23:43:05 batch_cost: 1.1957 data_cost: 0.0038 ips: 33.4546 images/s
[07/27 12:46:42] ppdet.engine INFO: Epoch: [92] [480/732] learning_rate: 0.152759 loss_vfl: 1.345424 loss_bbox: 0.751151 loss_dfl: 0.523514 loss: 2.606021 eta: 1 day, 23:42:47 batch_cost: 1.2480 data_cost: 0.0036 ips: 32.0524 images/s
[07/27 12:47:07] ppdet.engine INFO: Epoch: [92] [500/732] learning_rate: 0.152734 loss_vfl: 1.273403 loss_bbox: 0.722586 loss_dfl: 0.508463 loss: 2.524009 eta: 1 day, 23:42:20 batch_cost: 1.0362 data_cost: 0.0098 ips: 38.6023 images/s
[07/27 12:47:32] ppdet.engine INFO: Epoch: [92] [520/732] learning_rate: 0.152708 loss_vfl: 1.275434 loss_bbox: 0.730792 loss_dfl: 0.507426 loss: 2.523812 eta: 1 day, 23:41:54 batch_cost: 1.0615 data_cost: 0.0043 ips: 37.6830 images/s
[07/27 12:47:58] ppdet.engine INFO: Epoch: [92] [540/732] learning_rate: 0.152682 loss_vfl: 1.302401 loss_bbox: 0.741963 loss_dfl: 0.514831 loss: 2.550608 eta: 1 day, 23:41:31 batch_cost: 1.1248 data_cost: 0.0082 ips: 35.5627 images/s
[07/27 12:48:27] ppdet.engine INFO: Epoch: [92] [560/732] learning_rate: 0.152656 loss_vfl: 1.298553 loss_bbox: 0.728214 loss_dfl: 0.505143 loss: 2.520222 eta: 1 day, 23:41:11 batch_cost: 1.1783 data_cost: 0.0169 ips: 33.9486 images/s
[07/27 12:48:53] ppdet.engine INFO: Epoch: [92] [580/732] learning_rate: 0.152631 loss_vfl: 1.371156 loss_bbox: 0.783166 loss_dfl: 0.535862 loss: 2.694798 eta: 1 day, 23:40:48 batch_cost: 1.1143 data_cost: 0.0075 ips: 35.8962 images/s
[07/27 12:49:20] ppdet.engine INFO: Epoch: [92] [600/732] learning_rate: 0.152605 loss_vfl: 1.352010 loss_bbox: 0.736978 loss_dfl: 0.519931 loss: 2.657469 eta: 1 day, 23:40:26 batch_cost: 1.1671 data_cost: 0.0042 ips: 34.2743 images/s
[07/27 12:49:48] ppdet.engine INFO: Epoch: [92] [620/732] learning_rate: 0.152579 loss_vfl: 1.279098 loss_bbox: 0.736613 loss_dfl: 0.510146 loss: 2.549141 eta: 1 day, 23:40:09 batch_cost: 1.2436 data_cost: 0.0013 ips: 32.1654 images/s
[07/27 12:50:15] ppdet.engine INFO: Epoch: [92] [640/732] learning_rate: 0.152553 loss_vfl: 1.299167 loss_bbox: 0.746907 loss_dfl: 0.512769 loss: 2.559101 eta: 1 day, 23:39:46 batch_cost: 1.1239 data_cost: 0.0067 ips: 35.5907 images/s
[07/27 12:50:42] ppdet.engine INFO: Epoch: [92] [660/732] learning_rate: 0.152528 loss_vfl: 1.361515 loss_bbox: 0.754250 loss_dfl: 0.528848 loss: 2.644360 eta: 1 day, 23:39:23 batch_cost: 1.1372 data_cost: 0.0075 ips: 35.1740 images/s
[07/27 12:51:07] ppdet.engine INFO: Epoch: [92] [680/732] learning_rate: 0.152502 loss_vfl: 1.314744 loss_bbox: 0.753301 loss_dfl: 0.507455 loss: 2.547401 eta: 1 day, 23:38:58 batch_cost: 1.0662 data_cost: 0.0090 ips: 37.5170 images/s
[07/27 12:51:35] ppdet.engine INFO: Epoch: [92] [700/732] learning_rate: 0.152476 loss_vfl: 1.325178 loss_bbox: 0.762001 loss_dfl: 0.522780 loss: 2.584723 eta: 1 day, 23:38:37 batch_cost: 1.1722 data_cost: 0.0090 ips: 34.1242 images/s
[07/27 12:52:00] ppdet.engine INFO: Epoch: [92] [720/732] learning_rate: 0.152450 loss_vfl: 1.331162 loss_bbox: 0.767242 loss_dfl: 0.528658 loss: 2.622093 eta: 1 day, 23:38:12 batch_cost: 1.0673 data_cost: 0.0083 ips: 37.4780 images/s
[07/27 12:52:22] ppdet.engine INFO: Epoch: [93] [  0/732] learning_rate: 0.152435 loss_vfl: 1.355199 loss_bbox: 0.774445 loss_dfl: 0.534444 loss: 2.639198 eta: 1 day, 23:38:10 batch_cost: 1.3773 data_cost: 0.4847 ips: 29.0424 images/s
[07/27 12:52:52] ppdet.engine INFO: Epoch: [93] [ 20/732] learning_rate: 0.152409 loss_vfl: 1.296774 loss_bbox: 0.735840 loss_dfl: 0.506055 loss: 2.519076 eta: 1 day, 23:37:56 batch_cost: 1.3242 data_cost: 0.0043 ips: 30.2072 images/s
[07/27 12:53:20] ppdet.engine INFO: Epoch: [93] [ 40/732] learning_rate: 0.152383 loss_vfl: 1.265883 loss_bbox: 0.764093 loss_dfl: 0.507080 loss: 2.513683 eta: 1 day, 23:37:35 batch_cost: 1.1779 data_cost: 0.0057 ips: 33.9578 images/s
[07/27 12:53:46] ppdet.engine INFO: Epoch: [93] [ 60/732] learning_rate: 0.152357 loss_vfl: 1.359312 loss_bbox: 0.756897 loss_dfl: 0.530521 loss: 2.647566 eta: 1 day, 23:37:10 batch_cost: 1.0820 data_cost: 0.0113 ips: 36.9695 images/s
[07/27 12:54:15] ppdet.engine INFO: Epoch: [93] [ 80/732] learning_rate: 0.152331 loss_vfl: 1.302562 loss_bbox: 0.763333 loss_dfl: 0.521555 loss: 2.586485 eta: 1 day, 23:36:53 batch_cost: 1.2667 data_cost: 0.0100 ips: 31.5773 images/s
[07/27 12:54:40] ppdet.engine INFO: Epoch: [93] [100/732] learning_rate: 0.152306 loss_vfl: 1.336221 loss_bbox: 0.765678 loss_dfl: 0.518510 loss: 2.583463 eta: 1 day, 23:36:26 batch_cost: 1.0347 data_cost: 0.0018 ips: 38.6581 images/s
[07/27 12:55:08] ppdet.engine INFO: Epoch: [93] [120/732] learning_rate: 0.152280 loss_vfl: 1.302950 loss_bbox: 0.754089 loss_dfl: 0.523407 loss: 2.610505 eta: 1 day, 23:36:04 batch_cost: 1.1345 data_cost: 0.0062 ips: 35.2587 images/s
[07/27 12:55:36] ppdet.engine INFO: Epoch: [93] [140/732] learning_rate: 0.152254 loss_vfl: 1.254170 loss_bbox: 0.728697 loss_dfl: 0.503961 loss: 2.491108 eta: 1 day, 23:35:46 batch_cost: 1.2381 data_cost: 0.0047 ips: 32.3089 images/s
[07/27 12:56:04] ppdet.engine INFO: Epoch: [93] [160/732] learning_rate: 0.152228 loss_vfl: 1.329099 loss_bbox: 0.741438 loss_dfl: 0.524746 loss: 2.639302 eta: 1 day, 23:35:24 batch_cost: 1.1492 data_cost: 0.0058 ips: 34.8054 images/s
[07/27 12:56:29] ppdet.engine INFO: Epoch: [93] [180/732] learning_rate: 0.152202 loss_vfl: 1.378009 loss_bbox: 0.801218 loss_dfl: 0.553744 loss: 2.746001 eta: 1 day, 23:34:59 batch_cost: 1.0696 data_cost: 0.0015 ips: 37.3979 images/s
[07/27 12:56:58] ppdet.engine INFO: Epoch: [93] [200/732] learning_rate: 0.152176 loss_vfl: 1.339750 loss_bbox: 0.758640 loss_dfl: 0.522174 loss: 2.607745 eta: 1 day, 23:34:39 batch_cost: 1.2075 data_cost: 0.0029 ips: 33.1276 images/s
[07/27 12:57:25] ppdet.engine INFO: Epoch: [93] [220/732] learning_rate: 0.152151 loss_vfl: 1.308959 loss_bbox: 0.779632 loss_dfl: 0.523084 loss: 2.596901 eta: 1 day, 23:34:17 batch_cost: 1.1387 data_cost: 0.0069 ips: 35.1275 images/s
[07/27 12:57:51] ppdet.engine INFO: Epoch: [93] [240/732] learning_rate: 0.152125 loss_vfl: 1.332703 loss_bbox: 0.746440 loss_dfl: 0.518080 loss: 2.601604 eta: 1 day, 23:33:53 batch_cost: 1.0923 data_cost: 0.0172 ips: 36.6185 images/s
[07/27 12:58:19] ppdet.engine INFO: Epoch: [93] [260/732] learning_rate: 0.152099 loss_vfl: 1.297724 loss_bbox: 0.729339 loss_dfl: 0.507841 loss: 2.534577 eta: 1 day, 23:33:28 batch_cost: 1.0826 data_cost: 0.0057 ips: 36.9474 images/s
[07/27 12:58:46] ppdet.engine INFO: Epoch: [93] [280/732] learning_rate: 0.152073 loss_vfl: 1.346842 loss_bbox: 0.777058 loss_dfl: 0.531364 loss: 2.642624 eta: 1 day, 23:33:07 batch_cost: 1.1595 data_cost: 0.0051 ips: 34.4983 images/s
[07/27 12:59:14] ppdet.engine INFO: Epoch: [93] [300/732] learning_rate: 0.152047 loss_vfl: 1.274657 loss_bbox: 0.732658 loss_dfl: 0.508141 loss: 2.487100 eta: 1 day, 23:32:44 batch_cost: 1.1271 data_cost: 0.0069 ips: 35.4898 images/s
[07/27 12:59:39] ppdet.engine INFO: Epoch: [93] [320/732] learning_rate: 0.152021 loss_vfl: 1.356611 loss_bbox: 0.783105 loss_dfl: 0.534610 loss: 2.677868 eta: 1 day, 23:32:19 batch_cost: 1.0800 data_cost: 0.0078 ips: 37.0358 images/s
[07/27 13:00:08] ppdet.engine INFO: Epoch: [93] [340/732] learning_rate: 0.151995 loss_vfl: 1.269031 loss_bbox: 0.701161 loss_dfl: 0.487484 loss: 2.448441 eta: 1 day, 23:32:03 batch_cost: 1.2838 data_cost: 0.0055 ips: 31.1567 images/s
[07/27 13:00:36] ppdet.engine INFO: Epoch: [93] [360/732] learning_rate: 0.151970 loss_vfl: 1.274582 loss_bbox: 0.703236 loss_dfl: 0.487073 loss: 2.454956 eta: 1 day, 23:31:42 batch_cost: 1.1795 data_cost: 0.0036 ips: 33.9140 images/s
[07/27 13:01:01] ppdet.engine INFO: Epoch: [93] [380/732] learning_rate: 0.151944 loss_vfl: 1.278875 loss_bbox: 0.722821 loss_dfl: 0.497053 loss: 2.488215 eta: 1 day, 23:31:19 batch_cost: 1.1060 data_cost: 0.0073 ips: 36.1655 images/s
[07/27 13:01:29] ppdet.engine INFO: Epoch: [93] [400/732] learning_rate: 0.151918 loss_vfl: 1.314130 loss_bbox: 0.775156 loss_dfl: 0.532803 loss: 2.631260 eta: 1 day, 23:30:58 batch_cost: 1.1908 data_cost: 0.0032 ips: 33.5909 images/s
[07/27 13:01:54] ppdet.engine INFO: Epoch: [93] [420/732] learning_rate: 0.151892 loss_vfl: 1.288997 loss_bbox: 0.738534 loss_dfl: 0.509493 loss: 2.529748 eta: 1 day, 23:30:35 batch_cost: 1.1099 data_cost: 0.0063 ips: 36.0389 images/s
[07/27 13:02:21] ppdet.engine INFO: Epoch: [93] [440/732] learning_rate: 0.151866 loss_vfl: 1.335397 loss_bbox: 0.745991 loss_dfl: 0.530072 loss: 2.609914 eta: 1 day, 23:30:15 batch_cost: 1.2017 data_cost: 0.0115 ips: 33.2855 images/s
[07/27 13:02:47] ppdet.engine INFO: Epoch: [93] [460/732] learning_rate: 0.151840 loss_vfl: 1.337678 loss_bbox: 0.785773 loss_dfl: 0.536715 loss: 2.678419 eta: 1 day, 23:29:51 batch_cost: 1.0875 data_cost: 0.0099 ips: 36.7801 images/s
[07/27 13:03:13] ppdet.engine INFO: Epoch: [93] [480/732] learning_rate: 0.151814 loss_vfl: 1.269365 loss_bbox: 0.715161 loss_dfl: 0.499125 loss: 2.474364 eta: 1 day, 23:29:26 batch_cost: 1.0743 data_cost: 0.0043 ips: 37.2336 images/s
[07/27 13:03:43] ppdet.engine INFO: Epoch: [93] [500/732] learning_rate: 0.151788 loss_vfl: 1.269315 loss_bbox: 0.719283 loss_dfl: 0.500455 loss: 2.505264 eta: 1 day, 23:29:05 batch_cost: 1.1753 data_cost: 0.0084 ips: 34.0327 images/s
[07/27 13:04:10] ppdet.engine INFO: Epoch: [93] [520/732] learning_rate: 0.151762 loss_vfl: 1.358733 loss_bbox: 0.769105 loss_dfl: 0.527135 loss: 2.633387 eta: 1 day, 23:28:45 batch_cost: 1.2022 data_cost: 0.0051 ips: 33.2728 images/s
[07/27 13:04:37] ppdet.engine INFO: Epoch: [93] [540/732] learning_rate: 0.151736 loss_vfl: 1.366719 loss_bbox: 0.763239 loss_dfl: 0.534946 loss: 2.690650 eta: 1 day, 23:28:26 batch_cost: 1.2052 data_cost: 0.0060 ips: 33.1890 images/s
[07/27 13:05:05] ppdet.engine INFO: Epoch: [93] [560/732] learning_rate: 0.151710 loss_vfl: 1.296581 loss_bbox: 0.753301 loss_dfl: 0.515474 loss: 2.542109 eta: 1 day, 23:28:05 batch_cost: 1.1677 data_cost: 0.0058 ips: 34.2545 images/s
[07/27 13:05:30] ppdet.engine INFO: Epoch: [93] [580/732] learning_rate: 0.151685 loss_vfl: 1.338621 loss_bbox: 0.783559 loss_dfl: 0.542959 loss: 2.657815 eta: 1 day, 23:27:40 batch_cost: 1.0908 data_cost: 0.0068 ips: 36.6689 images/s
[07/27 13:05:58] ppdet.engine INFO: Epoch: [93] [600/732] learning_rate: 0.151659 loss_vfl: 1.296893 loss_bbox: 0.749432 loss_dfl: 0.511527 loss: 2.554032 eta: 1 day, 23:27:20 batch_cost: 1.1851 data_cost: 0.0044 ips: 33.7517 images/s
[07/27 13:06:25] ppdet.engine INFO: Epoch: [93] [620/732] learning_rate: 0.151633 loss_vfl: 1.342294 loss_bbox: 0.768896 loss_dfl: 0.527138 loss: 2.658517 eta: 1 day, 23:26:59 batch_cost: 1.1592 data_cost: 0.0069 ips: 34.5062 images/s
[07/27 13:06:51] ppdet.engine INFO: Epoch: [93] [640/732] learning_rate: 0.151607 loss_vfl: 1.364319 loss_bbox: 0.758482 loss_dfl: 0.520505 loss: 2.643441 eta: 1 day, 23:26:36 batch_cost: 1.1414 data_cost: 0.0064 ips: 35.0450 images/s
[07/27 13:07:18] ppdet.engine INFO: Epoch: [93] [660/732] learning_rate: 0.151581 loss_vfl: 1.260697 loss_bbox: 0.723574 loss_dfl: 0.497536 loss: 2.464150 eta: 1 day, 23:26:15 batch_cost: 1.1657 data_cost: 0.0033 ips: 34.3134 images/s
[07/27 13:07:45] ppdet.engine INFO: Epoch: [93] [680/732] learning_rate: 0.151555 loss_vfl: 1.296432 loss_bbox: 0.715995 loss_dfl: 0.506544 loss: 2.537277 eta: 1 day, 23:25:54 batch_cost: 1.1594 data_cost: 0.0051 ips: 34.5004 images/s
[07/27 13:08:12] ppdet.engine INFO: Epoch: [93] [700/732] learning_rate: 0.151529 loss_vfl: 1.291051 loss_bbox: 0.727961 loss_dfl: 0.511284 loss: 2.562504 eta: 1 day, 23:25:32 batch_cost: 1.1545 data_cost: 0.0047 ips: 34.6461 images/s
[07/27 13:08:37] ppdet.engine INFO: Epoch: [93] [720/732] learning_rate: 0.151503 loss_vfl: 1.296579 loss_bbox: 0.753317 loss_dfl: 0.507627 loss: 2.515543 eta: 1 day, 23:25:06 batch_cost: 1.0438 data_cost: 0.0066 ips: 38.3226 images/s
[07/27 13:08:59] ppdet.engine INFO: Epoch: [94] [  0/732] learning_rate: 0.151487 loss_vfl: 1.256186 loss_bbox: 0.734832 loss_dfl: 0.500357 loss: 2.491876 eta: 1 day, 23:25:05 batch_cost: 1.3534 data_cost: 0.4658 ips: 29.5561 images/s
[07/27 13:09:30] ppdet.engine INFO: Epoch: [94] [ 20/732] learning_rate: 0.151461 loss_vfl: 1.321430 loss_bbox: 0.735177 loss_dfl: 0.513487 loss: 2.554720 eta: 1 day, 23:24:50 batch_cost: 1.3112 data_cost: 0.0052 ips: 30.5068 images/s
[07/27 13:09:58] ppdet.engine INFO: Epoch: [94] [ 40/732] learning_rate: 0.151435 loss_vfl: 1.324392 loss_bbox: 0.759306 loss_dfl: 0.532904 loss: 2.620188 eta: 1 day, 23:24:30 batch_cost: 1.1894 data_cost: 0.0078 ips: 33.6316 images/s
[07/27 13:10:25] ppdet.engine INFO: Epoch: [94] [ 60/732] learning_rate: 0.151409 loss_vfl: 1.290983 loss_bbox: 0.746588 loss_dfl: 0.516740 loss: 2.569386 eta: 1 day, 23:24:08 batch_cost: 1.1451 data_cost: 0.0038 ips: 34.9320 images/s
[07/27 13:10:53] ppdet.engine INFO: Epoch: [94] [ 80/732] learning_rate: 0.151383 loss_vfl: 1.316026 loss_bbox: 0.737430 loss_dfl: 0.508783 loss: 2.595670 eta: 1 day, 23:23:50 batch_cost: 1.2450 data_cost: 0.0021 ips: 32.1278 images/s
[07/27 13:11:20] ppdet.engine INFO: Epoch: [94] [100/732] learning_rate: 0.151357 loss_vfl: 1.299030 loss_bbox: 0.710965 loss_dfl: 0.500736 loss: 2.514045 eta: 1 day, 23:23:28 batch_cost: 1.1469 data_cost: 0.0120 ips: 34.8762 images/s
[07/27 13:11:46] ppdet.engine INFO: Epoch: [94] [120/732] learning_rate: 0.151331 loss_vfl: 1.310298 loss_bbox: 0.767697 loss_dfl: 0.521639 loss: 2.599621 eta: 1 day, 23:23:02 batch_cost: 1.0608 data_cost: 0.0064 ips: 37.7086 images/s
[07/27 13:12:13] ppdet.engine INFO: Epoch: [94] [140/732] learning_rate: 0.151305 loss_vfl: 1.311825 loss_bbox: 0.758829 loss_dfl: 0.516940 loss: 2.587432 eta: 1 day, 23:22:42 batch_cost: 1.1922 data_cost: 0.0024 ips: 33.5521 images/s
[07/27 13:12:40] ppdet.engine INFO: Epoch: [94] [160/732] learning_rate: 0.151279 loss_vfl: 1.328622 loss_bbox: 0.762684 loss_dfl: 0.523654 loss: 2.596828 eta: 1 day, 23:22:15 batch_cost: 1.0279 data_cost: 0.0025 ips: 38.9145 images/s
[07/27 13:13:08] ppdet.engine INFO: Epoch: [94] [180/732] learning_rate: 0.151253 loss_vfl: 1.336374 loss_bbox: 0.740082 loss_dfl: 0.520901 loss: 2.585532 eta: 1 day, 23:21:54 batch_cost: 1.1695 data_cost: 0.0038 ips: 34.2038 images/s
[07/27 13:13:34] ppdet.engine INFO: Epoch: [94] [200/732] learning_rate: 0.151227 loss_vfl: 1.329181 loss_bbox: 0.758885 loss_dfl: 0.528913 loss: 2.629649 eta: 1 day, 23:21:29 batch_cost: 1.0786 data_cost: 0.0017 ips: 37.0866 images/s
[07/27 13:14:00] ppdet.engine INFO: Epoch: [94] [220/732] learning_rate: 0.151201 loss_vfl: 1.338061 loss_bbox: 0.761737 loss_dfl: 0.519593 loss: 2.611949 eta: 1 day, 23:21:07 batch_cost: 1.1335 data_cost: 0.0058 ips: 35.2877 images/s
[07/27 13:14:27] ppdet.engine INFO: Epoch: [94] [240/732] learning_rate: 0.151175 loss_vfl: 1.263660 loss_bbox: 0.742040 loss_dfl: 0.520323 loss: 2.541339 eta: 1 day, 23:20:43 batch_cost: 1.1232 data_cost: 0.0048 ips: 35.6131 images/s
[07/27 13:14:55] ppdet.engine INFO: Epoch: [94] [260/732] learning_rate: 0.151149 loss_vfl: 1.315940 loss_bbox: 0.748160 loss_dfl: 0.520407 loss: 2.582626 eta: 1 day, 23:20:24 batch_cost: 1.2066 data_cost: 0.0074 ips: 33.1499 images/s
[07/27 13:15:22] ppdet.engine INFO: Epoch: [94] [280/732] learning_rate: 0.151123 loss_vfl: 1.342404 loss_bbox: 0.742361 loss_dfl: 0.526105 loss: 2.658073 eta: 1 day, 23:20:01 batch_cost: 1.1311 data_cost: 0.0059 ips: 35.3631 images/s
[07/27 13:15:49] ppdet.engine INFO: Epoch: [94] [300/732] learning_rate: 0.151097 loss_vfl: 1.323127 loss_bbox: 0.767005 loss_dfl: 0.522022 loss: 2.606194 eta: 1 day, 23:19:36 batch_cost: 1.0761 data_cost: 0.0039 ips: 37.1723 images/s
[07/27 13:16:16] ppdet.engine INFO: Epoch: [94] [320/732] learning_rate: 0.151071 loss_vfl: 1.396413 loss_bbox: 0.787019 loss_dfl: 0.550835 loss: 2.763130 eta: 1 day, 23:19:09 batch_cost: 1.0288 data_cost: 0.0060 ips: 38.8814 images/s
[07/27 13:16:43] ppdet.engine INFO: Epoch: [94] [340/732] learning_rate: 0.151045 loss_vfl: 1.339122 loss_bbox: 0.776090 loss_dfl: 0.537219 loss: 2.661923 eta: 1 day, 23:18:45 batch_cost: 1.0937 data_cost: 0.0079 ips: 36.5734 images/s
[07/27 13:17:09] ppdet.engine INFO: Epoch: [94] [360/732] learning_rate: 0.151019 loss_vfl: 1.378444 loss_bbox: 0.775420 loss_dfl: 0.542568 loss: 2.675708 eta: 1 day, 23:18:21 batch_cost: 1.1042 data_cost: 0.0057 ips: 36.2243 images/s
[07/27 13:17:37] ppdet.engine INFO: Epoch: [94] [380/732] learning_rate: 0.150993 loss_vfl: 1.326714 loss_bbox: 0.751647 loss_dfl: 0.534677 loss: 2.603603 eta: 1 day, 23:18:01 batch_cost: 1.1941 data_cost: 0.0132 ips: 33.4968 images/s
[07/27 13:18:03] ppdet.engine INFO: Epoch: [94] [400/732] learning_rate: 0.150967 loss_vfl: 1.300146 loss_bbox: 0.753028 loss_dfl: 0.518893 loss: 2.609156 eta: 1 day, 23:17:36 batch_cost: 1.0868 data_cost: 0.0039 ips: 36.8064 images/s
[07/27 13:18:30] ppdet.engine INFO: Epoch: [94] [420/732] learning_rate: 0.150941 loss_vfl: 1.421543 loss_bbox: 0.783814 loss_dfl: 0.550938 loss: 2.756578 eta: 1 day, 23:17:14 batch_cost: 1.1389 data_cost: 0.0068 ips: 35.1201 images/s
[07/27 13:18:56] ppdet.engine INFO: Epoch: [94] [440/732] learning_rate: 0.150915 loss_vfl: 1.267697 loss_bbox: 0.714669 loss_dfl: 0.489194 loss: 2.475877 eta: 1 day, 23:16:49 batch_cost: 1.0859 data_cost: 0.0064 ips: 36.8349 images/s
[07/27 13:19:22] ppdet.engine INFO: Epoch: [94] [460/732] learning_rate: 0.150889 loss_vfl: 1.326137 loss_bbox: 0.767269 loss_dfl: 0.520590 loss: 2.602146 eta: 1 day, 23:16:24 batch_cost: 1.0693 data_cost: 0.0108 ips: 37.4084 images/s
[07/27 13:19:50] ppdet.engine INFO: Epoch: [94] [480/732] learning_rate: 0.150863 loss_vfl: 1.290888 loss_bbox: 0.737293 loss_dfl: 0.509293 loss: 2.531388 eta: 1 day, 23:16:04 batch_cost: 1.1828 data_cost: 0.0041 ips: 33.8189 images/s
[07/27 13:20:15] ppdet.engine INFO: Epoch: [94] [500/732] learning_rate: 0.150837 loss_vfl: 1.341317 loss_bbox: 0.749516 loss_dfl: 0.524233 loss: 2.611756 eta: 1 day, 23:15:38 batch_cost: 1.0716 data_cost: 0.0066 ips: 37.3284 images/s
[07/27 13:20:43] ppdet.engine INFO: Epoch: [94] [520/732] learning_rate: 0.150811 loss_vfl: 1.342872 loss_bbox: 0.739157 loss_dfl: 0.530126 loss: 2.648368 eta: 1 day, 23:15:15 batch_cost: 1.1138 data_cost: 0.0056 ips: 35.9120 images/s
[07/27 13:21:10] ppdet.engine INFO: Epoch: [94] [540/732] learning_rate: 0.150785 loss_vfl: 1.320761 loss_bbox: 0.792707 loss_dfl: 0.538444 loss: 2.647125 eta: 1 day, 23:14:53 batch_cost: 1.1364 data_cost: 0.0043 ips: 35.1975 images/s
[07/27 13:21:37] ppdet.engine INFO: Epoch: [94] [560/732] learning_rate: 0.150759 loss_vfl: 1.344798 loss_bbox: 0.768322 loss_dfl: 0.525489 loss: 2.645067 eta: 1 day, 23:14:31 batch_cost: 1.1570 data_cost: 0.0023 ips: 34.5716 images/s
[07/27 13:22:04] ppdet.engine INFO: Epoch: [94] [580/732] learning_rate: 0.150732 loss_vfl: 1.336304 loss_bbox: 0.742523 loss_dfl: 0.520336 loss: 2.637430 eta: 1 day, 23:14:07 batch_cost: 1.0905 data_cost: 0.0045 ips: 36.6809 images/s
[07/27 13:22:30] ppdet.engine INFO: Epoch: [94] [600/732] learning_rate: 0.150706 loss_vfl: 1.268337 loss_bbox: 0.740128 loss_dfl: 0.508269 loss: 2.480760 eta: 1 day, 23:13:40 batch_cost: 1.0498 data_cost: 0.0159 ips: 38.1020 images/s
[07/27 13:22:58] ppdet.engine INFO: Epoch: [94] [620/732] learning_rate: 0.150680 loss_vfl: 1.304802 loss_bbox: 0.716289 loss_dfl: 0.515270 loss: 2.554153 eta: 1 day, 23:13:21 batch_cost: 1.2031 data_cost: 0.0063 ips: 33.2464 images/s
[07/27 13:23:24] ppdet.engine INFO: Epoch: [94] [640/732] learning_rate: 0.150654 loss_vfl: 1.314739 loss_bbox: 0.726045 loss_dfl: 0.513531 loss: 2.549316 eta: 1 day, 23:12:58 batch_cost: 1.1220 data_cost: 0.0060 ips: 35.6522 images/s
[07/27 13:23:52] ppdet.engine INFO: Epoch: [94] [660/732] learning_rate: 0.150628 loss_vfl: 1.280215 loss_bbox: 0.752396 loss_dfl: 0.519271 loss: 2.581196 eta: 1 day, 23:12:38 batch_cost: 1.1924 data_cost: 0.0029 ips: 33.5469 images/s
[07/27 13:24:18] ppdet.engine INFO: Epoch: [94] [680/732] learning_rate: 0.150602 loss_vfl: 1.261753 loss_bbox: 0.734617 loss_dfl: 0.506786 loss: 2.515120 eta: 1 day, 23:12:11 batch_cost: 1.0478 data_cost: 0.0114 ips: 38.1766 images/s
[07/27 13:24:43] ppdet.engine INFO: Epoch: [94] [700/732] learning_rate: 0.150576 loss_vfl: 1.357584 loss_bbox: 0.754981 loss_dfl: 0.532619 loss: 2.650622 eta: 1 day, 23:11:43 batch_cost: 1.0070 data_cost: 0.0147 ips: 39.7214 images/s
[07/27 13:25:09] ppdet.engine INFO: Epoch: [94] [720/732] learning_rate: 0.150550 loss_vfl: 1.287095 loss_bbox: 0.730132 loss_dfl: 0.497622 loss: 2.493930 eta: 1 day, 23:11:18 batch_cost: 1.0799 data_cost: 0.0044 ips: 37.0419 images/s
[07/27 13:25:31] ppdet.engine INFO: Epoch: [95] [  0/732] learning_rate: 0.150534 loss_vfl: 1.304272 loss_bbox: 0.732843 loss_dfl: 0.518334 loss: 2.619020 eta: 1 day, 23:11:16 batch_cost: 1.3644 data_cost: 0.4439 ips: 29.3163 images/s
[07/27 13:26:02] ppdet.engine INFO: Epoch: [95] [ 20/732] learning_rate: 0.150508 loss_vfl: 1.271055 loss_bbox: 0.723091 loss_dfl: 0.497010 loss: 2.513598 eta: 1 day, 23:11:00 batch_cost: 1.2883 data_cost: 0.0364 ips: 31.0479 images/s
[07/27 13:26:28] ppdet.engine INFO: Epoch: [95] [ 40/732] learning_rate: 0.150482 loss_vfl: 1.338436 loss_bbox: 0.743982 loss_dfl: 0.516040 loss: 2.584183 eta: 1 day, 23:10:37 batch_cost: 1.1180 data_cost: 0.0152 ips: 35.7779 images/s
[07/27 13:26:56] ppdet.engine INFO: Epoch: [95] [ 60/732] learning_rate: 0.150456 loss_vfl: 1.303084 loss_bbox: 0.740587 loss_dfl: 0.523634 loss: 2.575901 eta: 1 day, 23:10:17 batch_cost: 1.2114 data_cost: 0.0060 ips: 33.0192 images/s
[07/27 13:27:23] ppdet.engine INFO: Epoch: [95] [ 80/732] learning_rate: 0.150429 loss_vfl: 1.296303 loss_bbox: 0.728430 loss_dfl: 0.510250 loss: 2.536745 eta: 1 day, 23:09:54 batch_cost: 1.1099 data_cost: 0.0015 ips: 36.0403 images/s
[07/27 13:27:52] ppdet.engine INFO: Epoch: [95] [100/732] learning_rate: 0.150403 loss_vfl: 1.286467 loss_bbox: 0.743164 loss_dfl: 0.510318 loss: 2.539948 eta: 1 day, 23:09:35 batch_cost: 1.2229 data_cost: 0.0065 ips: 32.7099 images/s
[07/27 13:28:18] ppdet.engine INFO: Epoch: [95] [120/732] learning_rate: 0.150377 loss_vfl: 1.313100 loss_bbox: 0.764410 loss_dfl: 0.528254 loss: 2.621868 eta: 1 day, 23:09:10 batch_cost: 1.0830 data_cost: 0.0072 ips: 36.9332 images/s
[07/27 13:28:45] ppdet.engine INFO: Epoch: [95] [140/732] learning_rate: 0.150351 loss_vfl: 1.242260 loss_bbox: 0.713567 loss_dfl: 0.490145 loss: 2.424094 eta: 1 day, 23:08:48 batch_cost: 1.1276 data_cost: 0.0025 ips: 35.4723 images/s
[07/27 13:29:11] ppdet.engine INFO: Epoch: [95] [160/732] learning_rate: 0.150325 loss_vfl: 1.328209 loss_bbox: 0.746674 loss_dfl: 0.523602 loss: 2.601169 eta: 1 day, 23:08:22 batch_cost: 1.0564 data_cost: 0.0094 ips: 37.8660 images/s
[07/27 13:29:39] ppdet.engine INFO: Epoch: [95] [180/732] learning_rate: 0.150299 loss_vfl: 1.349359 loss_bbox: 0.759438 loss_dfl: 0.521446 loss: 2.638302 eta: 1 day, 23:07:58 batch_cost: 1.1105 data_cost: 0.0065 ips: 36.0195 images/s
[07/27 13:30:06] ppdet.engine INFO: Epoch: [95] [200/732] learning_rate: 0.150273 loss_vfl: 1.315728 loss_bbox: 0.761496 loss_dfl: 0.531420 loss: 2.645965 eta: 1 day, 23:07:36 batch_cost: 1.1452 data_cost: 0.0023 ips: 34.9275 images/s
[07/27 13:30:34] ppdet.engine INFO: Epoch: [95] [220/732] learning_rate: 0.150246 loss_vfl: 1.340981 loss_bbox: 0.744478 loss_dfl: 0.524866 loss: 2.648685 eta: 1 day, 23:07:14 batch_cost: 1.1567 data_cost: 0.0036 ips: 34.5806 images/s
[07/27 13:31:01] ppdet.engine INFO: Epoch: [95] [240/732] learning_rate: 0.150220 loss_vfl: 1.296546 loss_bbox: 0.746890 loss_dfl: 0.525259 loss: 2.581564 eta: 1 day, 23:06:51 batch_cost: 1.1154 data_cost: 0.0031 ips: 35.8617 images/s
[07/27 13:31:27] ppdet.engine INFO: Epoch: [95] [260/732] learning_rate: 0.150194 loss_vfl: 1.304428 loss_bbox: 0.724339 loss_dfl: 0.504792 loss: 2.540989 eta: 1 day, 23:06:29 batch_cost: 1.1352 data_cost: 0.0087 ips: 35.2372 images/s
[07/27 13:31:55] ppdet.engine INFO: Epoch: [95] [280/732] learning_rate: 0.150168 loss_vfl: 1.314890 loss_bbox: 0.759107 loss_dfl: 0.527008 loss: 2.584644 eta: 1 day, 23:06:07 batch_cost: 1.1639 data_cost: 0.0152 ips: 34.3659 images/s
[07/27 13:32:23] ppdet.engine INFO: Epoch: [95] [300/732] learning_rate: 0.150142 loss_vfl: 1.301886 loss_bbox: 0.764437 loss_dfl: 0.524115 loss: 2.583738 eta: 1 day, 23:05:49 batch_cost: 1.2282 data_cost: 0.0048 ips: 32.5688 images/s
[07/27 13:32:49] ppdet.engine INFO: Epoch: [95] [320/732] learning_rate: 0.150115 loss_vfl: 1.351842 loss_bbox: 0.786901 loss_dfl: 0.551113 loss: 2.679256 eta: 1 day, 23:05:26 batch_cost: 1.1192 data_cost: 0.0027 ips: 35.7383 images/s
[07/27 13:33:16] ppdet.engine INFO: Epoch: [95] [340/732] learning_rate: 0.150089 loss_vfl: 1.348745 loss_bbox: 0.764156 loss_dfl: 0.536946 loss: 2.689017 eta: 1 day, 23:05:05 batch_cost: 1.1749 data_cost: 0.0041 ips: 34.0451 images/s
[07/27 13:33:42] ppdet.engine INFO: Epoch: [95] [360/732] learning_rate: 0.150063 loss_vfl: 1.312019 loss_bbox: 0.774308 loss_dfl: 0.530561 loss: 2.616889 eta: 1 day, 23:04:41 batch_cost: 1.1110 data_cost: 0.0011 ips: 36.0047 images/s
[07/27 13:34:08] ppdet.engine INFO: Epoch: [95] [380/732] learning_rate: 0.150037 loss_vfl: 1.304415 loss_bbox: 0.772238 loss_dfl: 0.523374 loss: 2.617622 eta: 1 day, 23:04:13 batch_cost: 1.0010 data_cost: 0.0059 ips: 39.9584 images/s
[07/27 13:34:35] ppdet.engine INFO: Epoch: [95] [400/732] learning_rate: 0.150011 loss_vfl: 1.322797 loss_bbox: 0.723809 loss_dfl: 0.516062 loss: 2.580222 eta: 1 day, 23:03:48 batch_cost: 1.0780 data_cost: 0.0151 ips: 37.1047 images/s
[07/27 13:35:02] ppdet.engine INFO: Epoch: [95] [420/732] learning_rate: 0.149984 loss_vfl: 1.347300 loss_bbox: 0.752925 loss_dfl: 0.517854 loss: 2.611654 eta: 1 day, 23:03:26 batch_cost: 1.1537 data_cost: 0.0038 ips: 34.6711 images/s
[07/27 13:35:28] ppdet.engine INFO: Epoch: [95] [440/732] learning_rate: 0.149958 loss_vfl: 1.325114 loss_bbox: 0.788385 loss_dfl: 0.534188 loss: 2.662085 eta: 1 day, 23:03:01 batch_cost: 1.0720 data_cost: 0.0053 ips: 37.3127 images/s
[07/27 13:35:54] ppdet.engine INFO: Epoch: [95] [460/732] learning_rate: 0.149932 loss_vfl: 1.293995 loss_bbox: 0.740344 loss_dfl: 0.507140 loss: 2.517918 eta: 1 day, 23:02:35 batch_cost: 1.0569 data_cost: 0.0034 ips: 37.8467 images/s
[07/27 13:36:20] ppdet.engine INFO: Epoch: [95] [480/732] learning_rate: 0.149906 loss_vfl: 1.336820 loss_bbox: 0.748689 loss_dfl: 0.524363 loss: 2.623813 eta: 1 day, 23:02:10 batch_cost: 1.0652 data_cost: 0.0126 ips: 37.5520 images/s
[07/27 13:36:47] ppdet.engine INFO: Epoch: [95] [500/732] learning_rate: 0.149879 loss_vfl: 1.349477 loss_bbox: 0.769315 loss_dfl: 0.524239 loss: 2.569074 eta: 1 day, 23:01:49 batch_cost: 1.1762 data_cost: 0.0121 ips: 34.0076 images/s
[07/27 13:37:15] ppdet.engine INFO: Epoch: [95] [520/732] learning_rate: 0.149853 loss_vfl: 1.246107 loss_bbox: 0.704617 loss_dfl: 0.491298 loss: 2.443156 eta: 1 day, 23:01:29 batch_cost: 1.2020 data_cost: 0.0032 ips: 33.2788 images/s
[07/27 13:37:41] ppdet.engine INFO: Epoch: [95] [540/732] learning_rate: 0.149827 loss_vfl: 1.334214 loss_bbox: 0.768568 loss_dfl: 0.532829 loss: 2.655322 eta: 1 day, 23:01:04 batch_cost: 1.0615 data_cost: 0.0061 ips: 37.6830 images/s
[07/27 13:38:07] ppdet.engine INFO: Epoch: [95] [560/732] learning_rate: 0.149801 loss_vfl: 1.327635 loss_bbox: 0.754968 loss_dfl: 0.528501 loss: 2.630731 eta: 1 day, 23:00:36 batch_cost: 1.0139 data_cost: 0.0046 ips: 39.4526 images/s
[07/27 13:38:34] ppdet.engine INFO: Epoch: [95] [580/732] learning_rate: 0.149774 loss_vfl: 1.309070 loss_bbox: 0.784025 loss_dfl: 0.542765 loss: 2.640483 eta: 1 day, 23:00:13 batch_cost: 1.1198 data_cost: 0.0062 ips: 35.7210 images/s
[07/27 13:39:01] ppdet.engine INFO: Epoch: [95] [600/732] learning_rate: 0.149748 loss_vfl: 1.361293 loss_bbox: 0.788113 loss_dfl: 0.551644 loss: 2.719665 eta: 1 day, 22:59:47 batch_cost: 1.0632 data_cost: 0.0089 ips: 37.6226 images/s
[07/27 13:39:29] ppdet.engine INFO: Epoch: [95] [620/732] learning_rate: 0.149722 loss_vfl: 1.326739 loss_bbox: 0.762038 loss_dfl: 0.532101 loss: 2.636944 eta: 1 day, 22:59:28 batch_cost: 1.2012 data_cost: 0.0029 ips: 33.2990 images/s
[07/27 13:39:56] ppdet.engine INFO: Epoch: [95] [640/732] learning_rate: 0.149696 loss_vfl: 1.358704 loss_bbox: 0.783336 loss_dfl: 0.534850 loss: 2.657756 eta: 1 day, 22:59:02 batch_cost: 1.0651 data_cost: 0.0144 ips: 37.5557 images/s
[07/27 13:40:22] ppdet.engine INFO: Epoch: [95] [660/732] learning_rate: 0.149669 loss_vfl: 1.360210 loss_bbox: 0.764068 loss_dfl: 0.525345 loss: 2.660767 eta: 1 day, 22:58:38 batch_cost: 1.0973 data_cost: 0.0227 ips: 36.4523 images/s
[07/27 13:40:47] ppdet.engine INFO: Epoch: [95] [680/732] learning_rate: 0.149643 loss_vfl: 1.357511 loss_bbox: 0.763446 loss_dfl: 0.533635 loss: 2.656595 eta: 1 day, 22:58:11 batch_cost: 1.0380 data_cost: 0.0029 ips: 38.5372 images/s
[07/27 13:41:14] ppdet.engine INFO: Epoch: [95] [700/732] learning_rate: 0.149617 loss_vfl: 1.332026 loss_bbox: 0.781293 loss_dfl: 0.529449 loss: 2.622588 eta: 1 day, 22:57:47 batch_cost: 1.0885 data_cost: 0.0097 ips: 36.7465 images/s
[07/27 13:41:40] ppdet.engine INFO: Epoch: [95] [720/732] learning_rate: 0.149591 loss_vfl: 1.355799 loss_bbox: 0.740022 loss_dfl: 0.518961 loss: 2.604563 eta: 1 day, 22:57:25 batch_cost: 1.1570 data_cost: 0.0060 ips: 34.5709 images/s
[07/27 13:42:03] ppdet.engine INFO: Epoch: [96] [  0/732] learning_rate: 0.149575 loss_vfl: 1.316637 loss_bbox: 0.740022 loss_dfl: 0.519528 loss: 2.588789 eta: 1 day, 22:57:26 batch_cost: 1.4303 data_cost: 0.4539 ips: 27.9667 images/s
[07/27 13:42:35] ppdet.engine INFO: Epoch: [96] [ 20/732] learning_rate: 0.149549 loss_vfl: 1.342326 loss_bbox: 0.762280 loss_dfl: 0.526136 loss: 2.605293 eta: 1 day, 22:57:09 batch_cost: 1.2689 data_cost: 0.0027 ips: 31.5235 images/s
[07/27 13:43:01] ppdet.engine INFO: Epoch: [96] [ 40/732] learning_rate: 0.149522 loss_vfl: 1.301905 loss_bbox: 0.714263 loss_dfl: 0.502463 loss: 2.549701 eta: 1 day, 22:56:44 batch_cost: 1.0804 data_cost: 0.0045 ips: 37.0218 images/s
[07/27 13:43:29] ppdet.engine INFO: Epoch: [96] [ 60/732] learning_rate: 0.149496 loss_vfl: 1.329911 loss_bbox: 0.748184 loss_dfl: 0.527156 loss: 2.632126 eta: 1 day, 22:56:21 batch_cost: 1.1240 data_cost: 0.0059 ips: 35.5865 images/s
[07/27 13:43:56] ppdet.engine INFO: Epoch: [96] [ 80/732] learning_rate: 0.149470 loss_vfl: 1.360754 loss_bbox: 0.758195 loss_dfl: 0.534004 loss: 2.661226 eta: 1 day, 22:55:56 batch_cost: 1.0776 data_cost: 0.0116 ips: 37.1212 images/s
[07/27 13:44:22] ppdet.engine INFO: Epoch: [96] [100/732] learning_rate: 0.149443 loss_vfl: 1.344391 loss_bbox: 0.786376 loss_dfl: 0.548229 loss: 2.682772 eta: 1 day, 22:55:34 batch_cost: 1.1492 data_cost: 0.0082 ips: 34.8078 images/s
[07/27 13:44:49] ppdet.engine INFO: Epoch: [96] [120/732] learning_rate: 0.149417 loss_vfl: 1.309948 loss_bbox: 0.744204 loss_dfl: 0.514321 loss: 2.561430 eta: 1 day, 22:55:13 batch_cost: 1.1666 data_cost: 0.0056 ips: 34.2871 images/s
[07/27 13:45:17] ppdet.engine INFO: Epoch: [96] [140/732] learning_rate: 0.149391 loss_vfl: 1.319825 loss_bbox: 0.750470 loss_dfl: 0.512678 loss: 2.548824 eta: 1 day, 22:54:51 batch_cost: 1.1460 data_cost: 0.0062 ips: 34.9033 images/s
[07/27 13:45:43] ppdet.engine INFO: Epoch: [96] [160/732] learning_rate: 0.149364 loss_vfl: 1.306679 loss_bbox: 0.749958 loss_dfl: 0.517093 loss: 2.561238 eta: 1 day, 22:54:26 batch_cost: 1.0683 data_cost: 0.0085 ips: 37.4437 images/s
[07/27 13:46:11] ppdet.engine INFO: Epoch: [96] [180/732] learning_rate: 0.149338 loss_vfl: 1.317119 loss_bbox: 0.731018 loss_dfl: 0.525973 loss: 2.597082 eta: 1 day, 22:54:06 batch_cost: 1.1962 data_cost: 0.0087 ips: 33.4401 images/s
[07/27 13:46:39] ppdet.engine INFO: Epoch: [96] [200/732] learning_rate: 0.149312 loss_vfl: 1.351202 loss_bbox: 0.761759 loss_dfl: 0.538385 loss: 2.622566 eta: 1 day, 22:53:45 batch_cost: 1.1705 data_cost: 0.0151 ips: 34.1726 images/s
[07/27 13:47:05] ppdet.engine INFO: Epoch: [96] [220/732] learning_rate: 0.149285 loss_vfl: 1.311798 loss_bbox: 0.742189 loss_dfl: 0.510277 loss: 2.562043 eta: 1 day, 22:53:21 batch_cost: 1.1036 data_cost: 0.0038 ips: 36.2449 images/s
[07/27 13:47:33] ppdet.engine INFO: Epoch: [96] [240/732] learning_rate: 0.149259 loss_vfl: 1.318222 loss_bbox: 0.763582 loss_dfl: 0.523398 loss: 2.598499 eta: 1 day, 22:52:59 batch_cost: 1.1481 data_cost: 0.0020 ips: 34.8396 images/s
[07/27 13:48:00] ppdet.engine INFO: Epoch: [96] [260/732] learning_rate: 0.149233 loss_vfl: 1.290762 loss_bbox: 0.741835 loss_dfl: 0.516137 loss: 2.553216 eta: 1 day, 22:52:34 batch_cost: 1.0749 data_cost: 0.0047 ips: 37.2112 images/s
[07/27 13:48:28] ppdet.engine INFO: Epoch: [96] [280/732] learning_rate: 0.149206 loss_vfl: 1.290847 loss_bbox: 0.720941 loss_dfl: 0.503907 loss: 2.539995 eta: 1 day, 22:52:15 batch_cost: 1.2096 data_cost: 0.0028 ips: 33.0699 images/s
[07/27 13:48:55] ppdet.engine INFO: Epoch: [96] [300/732] learning_rate: 0.149180 loss_vfl: 1.321965 loss_bbox: 0.774496 loss_dfl: 0.534881 loss: 2.672807 eta: 1 day, 22:51:56 batch_cost: 1.2166 data_cost: 0.0081 ips: 32.8784 images/s
[07/27 13:49:22] ppdet.engine INFO: Epoch: [96] [320/732] learning_rate: 0.149154 loss_vfl: 1.301135 loss_bbox: 0.751995 loss_dfl: 0.506646 loss: 2.567969 eta: 1 day, 22:51:35 batch_cost: 1.1844 data_cost: 0.0072 ips: 33.7710 images/s
[07/27 13:49:48] ppdet.engine INFO: Epoch: [96] [340/732] learning_rate: 0.149127 loss_vfl: 1.287732 loss_bbox: 0.739241 loss_dfl: 0.514950 loss: 2.523067 eta: 1 day, 22:51:14 batch_cost: 1.1591 data_cost: 0.0071 ips: 34.5103 images/s
[07/27 13:50:14] ppdet.engine INFO: Epoch: [96] [360/732] learning_rate: 0.149101 loss_vfl: 1.305604 loss_bbox: 0.766104 loss_dfl: 0.537794 loss: 2.638209 eta: 1 day, 22:50:51 batch_cost: 1.1262 data_cost: 0.0081 ips: 35.5184 images/s
[07/27 13:50:43] ppdet.engine INFO: Epoch: [96] [380/732] learning_rate: 0.149075 loss_vfl: 1.343387 loss_bbox: 0.769021 loss_dfl: 0.532035 loss: 2.647419 eta: 1 day, 22:50:35 batch_cost: 1.2911 data_cost: 0.0055 ips: 30.9804 images/s
[07/27 13:51:09] ppdet.engine INFO: Epoch: [96] [400/732] learning_rate: 0.149048 loss_vfl: 1.345274 loss_bbox: 0.740992 loss_dfl: 0.508382 loss: 2.577667 eta: 1 day, 22:50:13 batch_cost: 1.1547 data_cost: 0.0078 ips: 34.6418 images/s
[07/27 13:51:35] ppdet.engine INFO: Epoch: [96] [420/732] learning_rate: 0.149022 loss_vfl: 1.336649 loss_bbox: 0.751845 loss_dfl: 0.525451 loss: 2.641458 eta: 1 day, 22:49:51 batch_cost: 1.1402 data_cost: 0.0050 ips: 35.0806 images/s
[07/27 13:52:00] ppdet.engine INFO: Epoch: [96] [440/732] learning_rate: 0.148996 loss_vfl: 1.257855 loss_bbox: 0.758470 loss_dfl: 0.515391 loss: 2.552121 eta: 1 day, 22:49:26 batch_cost: 1.0786 data_cost: 0.0041 ips: 37.0866 images/s
[07/27 13:52:28] ppdet.engine INFO: Epoch: [96] [460/732] learning_rate: 0.148969 loss_vfl: 1.291514 loss_bbox: 0.748510 loss_dfl: 0.518954 loss: 2.568370 eta: 1 day, 22:49:05 batch_cost: 1.1631 data_cost: 0.0025 ips: 34.3902 images/s
[07/27 13:52:55] ppdet.engine INFO: Epoch: [96] [480/732] learning_rate: 0.148943 loss_vfl: 1.259062 loss_bbox: 0.715213 loss_dfl: 0.502637 loss: 2.480682 eta: 1 day, 22:48:42 batch_cost: 1.1327 data_cost: 0.0039 ips: 35.3152 images/s
[07/27 13:53:20] ppdet.engine INFO: Epoch: [96] [500/732] learning_rate: 0.148916 loss_vfl: 1.326955 loss_bbox: 0.795929 loss_dfl: 0.537747 loss: 2.644913 eta: 1 day, 22:48:16 batch_cost: 1.0595 data_cost: 0.0116 ips: 37.7521 images/s
[07/27 13:53:48] ppdet.engine INFO: Epoch: [96] [520/732] learning_rate: 0.148890 loss_vfl: 1.244541 loss_bbox: 0.726557 loss_dfl: 0.496426 loss: 2.427093 eta: 1 day, 22:47:54 batch_cost: 1.1329 data_cost: 0.0035 ips: 35.3091 images/s
[07/27 13:54:16] ppdet.engine INFO: Epoch: [96] [540/732] learning_rate: 0.148864 loss_vfl: 1.299858 loss_bbox: 0.718629 loss_dfl: 0.507718 loss: 2.528183 eta: 1 day, 22:47:34 batch_cost: 1.1995 data_cost: 0.0047 ips: 33.3472 images/s
[07/27 13:54:42] ppdet.engine INFO: Epoch: [96] [560/732] learning_rate: 0.148837 loss_vfl: 1.272300 loss_bbox: 0.712521 loss_dfl: 0.496943 loss: 2.489369 eta: 1 day, 22:47:11 batch_cost: 1.1254 data_cost: 0.0018 ips: 35.5418 images/s
[07/27 13:55:09] ppdet.engine INFO: Epoch: [96] [580/732] learning_rate: 0.148811 loss_vfl: 1.345448 loss_bbox: 0.753630 loss_dfl: 0.520690 loss: 2.639694 eta: 1 day, 22:46:52 batch_cost: 1.2108 data_cost: 0.0074 ips: 33.0347 images/s
[07/27 13:55:36] ppdet.engine INFO: Epoch: [96] [600/732] learning_rate: 0.148784 loss_vfl: 1.334599 loss_bbox: 0.766880 loss_dfl: 0.529215 loss: 2.632077 eta: 1 day, 22:46:30 batch_cost: 1.1518 data_cost: 0.0025 ips: 34.7291 images/s
[07/27 13:56:03] ppdet.engine INFO: Epoch: [96] [620/732] learning_rate: 0.148758 loss_vfl: 1.272061 loss_bbox: 0.731201 loss_dfl: 0.502938 loss: 2.515676 eta: 1 day, 22:46:07 batch_cost: 1.1218 data_cost: 0.0068 ips: 35.6585 images/s
[07/27 13:56:29] ppdet.engine INFO: Epoch: [96] [640/732] learning_rate: 0.148732 loss_vfl: 1.336643 loss_bbox: 0.756037 loss_dfl: 0.520328 loss: 2.596548 eta: 1 day, 22:45:44 batch_cost: 1.1364 data_cost: 0.0037 ips: 35.1991 images/s
[07/27 13:56:56] ppdet.engine INFO: Epoch: [96] [660/732] learning_rate: 0.148705 loss_vfl: 1.293395 loss_bbox: 0.732396 loss_dfl: 0.502747 loss: 2.539115 eta: 1 day, 22:45:21 batch_cost: 1.1247 data_cost: 0.0106 ips: 35.5641 images/s
[07/27 13:57:24] ppdet.engine INFO: Epoch: [96] [680/732] learning_rate: 0.148679 loss_vfl: 1.309664 loss_bbox: 0.715757 loss_dfl: 0.500383 loss: 2.539491 eta: 1 day, 22:45:02 batch_cost: 1.2010 data_cost: 0.0117 ips: 33.3049 images/s
[07/27 13:57:51] ppdet.engine INFO: Epoch: [96] [700/732] learning_rate: 0.148652 loss_vfl: 1.370651 loss_bbox: 0.765210 loss_dfl: 0.533943 loss: 2.676819 eta: 1 day, 22:44:40 batch_cost: 1.1495 data_cost: 0.0104 ips: 34.7974 images/s
[07/27 13:58:17] ppdet.engine INFO: Epoch: [96] [720/732] learning_rate: 0.148626 loss_vfl: 1.308418 loss_bbox: 0.732729 loss_dfl: 0.509620 loss: 2.552001 eta: 1 day, 22:44:15 batch_cost: 1.0948 data_cost: 0.0024 ips: 36.5372 images/s
[07/27 13:58:41] ppdet.engine INFO: Epoch: [97] [  0/732] learning_rate: 0.148610 loss_vfl: 1.308418 loss_bbox: 0.716650 loss_dfl: 0.506462 loss: 2.544580 eta: 1 day, 22:44:18 batch_cost: 1.5105 data_cost: 0.5029 ips: 26.4807 images/s
[07/27 13:59:10] ppdet.engine INFO: Epoch: [97] [ 20/732] learning_rate: 0.148583 loss_vfl: 1.320680 loss_bbox: 0.758229 loss_dfl: 0.525513 loss: 2.627222 eta: 1 day, 22:44:01 batch_cost: 1.2606 data_cost: 0.0019 ips: 31.7313 images/s
[07/27 13:59:39] ppdet.engine INFO: Epoch: [97] [ 40/732] learning_rate: 0.148557 loss_vfl: 1.299563 loss_bbox: 0.722255 loss_dfl: 0.510032 loss: 2.565642 eta: 1 day, 22:43:40 batch_cost: 1.1779 data_cost: 0.0102 ips: 33.9574 images/s
[07/27 14:00:05] ppdet.engine INFO: Epoch: [97] [ 60/732] learning_rate: 0.148531 loss_vfl: 1.305351 loss_bbox: 0.742719 loss_dfl: 0.517866 loss: 2.602126 eta: 1 day, 22:43:16 batch_cost: 1.0894 data_cost: 0.0103 ips: 36.7183 images/s
[07/27 14:00:34] ppdet.engine INFO: Epoch: [97] [ 80/732] learning_rate: 0.148504 loss_vfl: 1.340536 loss_bbox: 0.748174 loss_dfl: 0.521935 loss: 2.613451 eta: 1 day, 22:42:55 batch_cost: 1.1667 data_cost: 0.0047 ips: 34.2860 images/s
[07/27 14:01:01] ppdet.engine INFO: Epoch: [97] [100/732] learning_rate: 0.148478 loss_vfl: 1.323898 loss_bbox: 0.759124 loss_dfl: 0.520179 loss: 2.597691 eta: 1 day, 22:42:34 batch_cost: 1.1819 data_cost: 0.0011 ips: 33.8439 images/s
[07/27 14:01:29] ppdet.engine INFO: Epoch: [97] [120/732] learning_rate: 0.148451 loss_vfl: 1.348403 loss_bbox: 0.773005 loss_dfl: 0.540106 loss: 2.673306 eta: 1 day, 22:42:14 batch_cost: 1.2028 data_cost: 0.0062 ips: 33.2555 images/s
[07/27 14:01:55] ppdet.engine INFO: Epoch: [97] [140/732] learning_rate: 0.148425 loss_vfl: 1.383219 loss_bbox: 0.787401 loss_dfl: 0.536189 loss: 2.672260 eta: 1 day, 22:41:51 batch_cost: 1.1179 data_cost: 0.0056 ips: 35.7829 images/s
[07/27 14:02:22] ppdet.engine INFO: Epoch: [97] [160/732] learning_rate: 0.148398 loss_vfl: 1.332282 loss_bbox: 0.744308 loss_dfl: 0.520223 loss: 2.583605 eta: 1 day, 22:41:30 batch_cost: 1.1638 data_cost: 0.0079 ips: 34.3715 images/s
[07/27 14:02:49] ppdet.engine INFO: Epoch: [97] [180/732] learning_rate: 0.148372 loss_vfl: 1.325771 loss_bbox: 0.781558 loss_dfl: 0.532875 loss: 2.622445 eta: 1 day, 22:41:08 batch_cost: 1.1472 data_cost: 0.0042 ips: 34.8685 images/s
[07/27 14:03:16] ppdet.engine INFO: Epoch: [97] [200/732] learning_rate: 0.148345 loss_vfl: 1.320967 loss_bbox: 0.737196 loss_dfl: 0.515317 loss: 2.577715 eta: 1 day, 22:40:41 batch_cost: 1.0347 data_cost: 0.0039 ips: 38.6585 images/s
[07/27 14:03:43] ppdet.engine INFO: Epoch: [97] [220/732] learning_rate: 0.148319 loss_vfl: 1.316863 loss_bbox: 0.761619 loss_dfl: 0.516929 loss: 2.584702 eta: 1 day, 22:40:16 batch_cost: 1.0795 data_cost: 0.0060 ips: 37.0541 images/s
[07/27 14:04:10] ppdet.engine INFO: Epoch: [97] [240/732] learning_rate: 0.148292 loss_vfl: 1.276902 loss_bbox: 0.717980 loss_dfl: 0.508328 loss: 2.512857 eta: 1 day, 22:39:51 batch_cost: 1.0823 data_cost: 0.0035 ips: 36.9594 images/s
[07/27 14:04:36] ppdet.engine INFO: Epoch: [97] [260/732] learning_rate: 0.148266 loss_vfl: 1.255121 loss_bbox: 0.711254 loss_dfl: 0.492512 loss: 2.411429 eta: 1 day, 22:39:28 batch_cost: 1.1228 data_cost: 0.0045 ips: 35.6264 images/s
[07/27 14:05:02] ppdet.engine INFO: Epoch: [97] [280/732] learning_rate: 0.148239 loss_vfl: 1.314628 loss_bbox: 0.748045 loss_dfl: 0.519515 loss: 2.555597 eta: 1 day, 22:39:01 batch_cost: 1.0286 data_cost: 0.0048 ips: 38.8887 images/s
[07/27 14:05:29] ppdet.engine INFO: Epoch: [97] [300/732] learning_rate: 0.148213 loss_vfl: 1.361760 loss_bbox: 0.749550 loss_dfl: 0.519788 loss: 2.637235 eta: 1 day, 22:38:37 batch_cost: 1.1018 data_cost: 0.0040 ips: 36.3054 images/s
[07/27 14:05:54] ppdet.engine INFO: Epoch: [97] [320/732] learning_rate: 0.148186 loss_vfl: 1.363279 loss_bbox: 0.773730 loss_dfl: 0.535958 loss: 2.664063 eta: 1 day, 22:38:12 batch_cost: 1.0664 data_cost: 0.0035 ips: 37.5108 images/s
[07/27 14:06:21] ppdet.engine INFO: Epoch: [97] [340/732] learning_rate: 0.148160 loss_vfl: 1.365011 loss_bbox: 0.770178 loss_dfl: 0.538760 loss: 2.675221 eta: 1 day, 22:37:49 batch_cost: 1.1216 data_cost: 0.0043 ips: 35.6620 images/s
[07/27 14:06:49] ppdet.engine INFO: Epoch: [97] [360/732] learning_rate: 0.148133 loss_vfl: 1.385374 loss_bbox: 0.789933 loss_dfl: 0.545097 loss: 2.724607 eta: 1 day, 22:37:26 batch_cost: 1.1151 data_cost: 0.0137 ips: 35.8724 images/s
[07/27 14:07:15] ppdet.engine INFO: Epoch: [97] [380/732] learning_rate: 0.148107 loss_vfl: 1.293691 loss_bbox: 0.758077 loss_dfl: 0.508910 loss: 2.524548 eta: 1 day, 22:37:00 batch_cost: 1.0721 data_cost: 0.0089 ips: 37.3099 images/s
[07/27 14:07:42] ppdet.engine INFO: Epoch: [97] [400/732] learning_rate: 0.148080 loss_vfl: 1.370031 loss_bbox: 0.795089 loss_dfl: 0.544502 loss: 2.727178 eta: 1 day, 22:36:40 batch_cost: 1.1891 data_cost: 0.0035 ips: 33.6381 images/s
[07/27 14:08:08] ppdet.engine INFO: Epoch: [97] [420/732] learning_rate: 0.148054 loss_vfl: 1.313350 loss_bbox: 0.726640 loss_dfl: 0.515670 loss: 2.546271 eta: 1 day, 22:36:14 batch_cost: 1.0529 data_cost: 0.0021 ips: 37.9903 images/s
[07/27 14:08:35] ppdet.engine INFO: Epoch: [97] [440/732] learning_rate: 0.148027 loss_vfl: 1.314910 loss_bbox: 0.750819 loss_dfl: 0.515826 loss: 2.572967 eta: 1 day, 22:35:51 batch_cost: 1.1126 data_cost: 0.0051 ips: 35.9534 images/s
[07/27 14:09:02] ppdet.engine INFO: Epoch: [97] [460/732] learning_rate: 0.148001 loss_vfl: 1.322592 loss_bbox: 0.771929 loss_dfl: 0.538329 loss: 2.644867 eta: 1 day, 22:35:29 batch_cost: 1.1521 data_cost: 0.0087 ips: 34.7183 images/s
[07/27 14:09:28] ppdet.engine INFO: Epoch: [97] [480/732] learning_rate: 0.147974 loss_vfl: 1.305863 loss_bbox: 0.753255 loss_dfl: 0.515630 loss: 2.591384 eta: 1 day, 22:35:04 batch_cost: 1.0830 data_cost: 0.0099 ips: 36.9354 images/s
[07/27 14:09:55] ppdet.engine INFO: Epoch: [97] [500/732] learning_rate: 0.147948 loss_vfl: 1.348597 loss_bbox: 0.777299 loss_dfl: 0.537069 loss: 2.686199 eta: 1 day, 22:34:41 batch_cost: 1.1272 data_cost: 0.0071 ips: 35.4876 images/s
[07/27 14:10:23] ppdet.engine INFO: Epoch: [97] [520/732] learning_rate: 0.147921 loss_vfl: 1.310973 loss_bbox: 0.750890 loss_dfl: 0.515326 loss: 2.585378 eta: 1 day, 22:34:21 batch_cost: 1.1969 data_cost: 0.0017 ips: 33.4205 images/s
[07/27 14:10:50] ppdet.engine INFO: Epoch: [97] [540/732] learning_rate: 0.147895 loss_vfl: 1.315221 loss_bbox: 0.731732 loss_dfl: 0.518816 loss: 2.541597 eta: 1 day, 22:33:58 batch_cost: 1.1225 data_cost: 0.0042 ips: 35.6355 images/s
[07/27 14:11:16] ppdet.engine INFO: Epoch: [97] [560/732] learning_rate: 0.147868 loss_vfl: 1.262762 loss_bbox: 0.727914 loss_dfl: 0.507513 loss: 2.513551 eta: 1 day, 22:33:35 batch_cost: 1.1095 data_cost: 0.0079 ips: 36.0520 images/s
[07/27 14:11:44] ppdet.engine INFO: Epoch: [97] [580/732] learning_rate: 0.147841 loss_vfl: 1.276215 loss_bbox: 0.703740 loss_dfl: 0.481167 loss: 2.425460 eta: 1 day, 22:33:13 batch_cost: 1.1538 data_cost: 0.0071 ips: 34.6686 images/s
[07/27 14:12:10] ppdet.engine INFO: Epoch: [97] [600/732] learning_rate: 0.147815 loss_vfl: 1.298109 loss_bbox: 0.746334 loss_dfl: 0.521374 loss: 2.559434 eta: 1 day, 22:32:51 batch_cost: 1.1462 data_cost: 0.0029 ips: 34.8991 images/s
[07/27 14:12:36] ppdet.engine INFO: Epoch: [97] [620/732] learning_rate: 0.147788 loss_vfl: 1.327466 loss_bbox: 0.772652 loss_dfl: 0.532331 loss: 2.634646 eta: 1 day, 22:32:28 batch_cost: 1.1272 data_cost: 0.0067 ips: 35.4852 images/s
[07/27 14:13:04] ppdet.engine INFO: Epoch: [97] [640/732] learning_rate: 0.147762 loss_vfl: 1.332213 loss_bbox: 0.745285 loss_dfl: 0.513792 loss: 2.582279 eta: 1 day, 22:32:07 batch_cost: 1.1636 data_cost: 0.0080 ips: 34.3775 images/s
[07/27 14:13:29] ppdet.engine INFO: Epoch: [97] [660/732] learning_rate: 0.147735 loss_vfl: 1.311584 loss_bbox: 0.763599 loss_dfl: 0.526783 loss: 2.586068 eta: 1 day, 22:31:43 batch_cost: 1.1008 data_cost: 0.0021 ips: 36.3363 images/s
[07/27 14:13:57] ppdet.engine INFO: Epoch: [97] [680/732] learning_rate: 0.147709 loss_vfl: 1.300914 loss_bbox: 0.743977 loss_dfl: 0.519201 loss: 2.532823 eta: 1 day, 22:31:19 batch_cost: 1.1113 data_cost: 0.0058 ips: 35.9926 images/s
[07/27 14:14:22] ppdet.engine INFO: Epoch: [97] [700/732] learning_rate: 0.147682 loss_vfl: 1.321023 loss_bbox: 0.760065 loss_dfl: 0.513294 loss: 2.597761 eta: 1 day, 22:30:51 batch_cost: 0.9991 data_cost: 0.0056 ips: 40.0357 images/s
[07/27 14:14:49] ppdet.engine INFO: Epoch: [97] [720/732] learning_rate: 0.147655 loss_vfl: 1.320791 loss_bbox: 0.756812 loss_dfl: 0.536143 loss: 2.622109 eta: 1 day, 22:30:27 batch_cost: 1.1023 data_cost: 0.0043 ips: 36.2886 images/s
[07/27 14:15:12] ppdet.engine INFO: Epoch: [98] [  0/732] learning_rate: 0.147639 loss_vfl: 1.290411 loss_bbox: 0.724336 loss_dfl: 0.510537 loss: 2.550462 eta: 1 day, 22:30:27 batch_cost: 1.4778 data_cost: 0.4931 ips: 27.0677 images/s
[07/27 14:15:42] ppdet.engine INFO: Epoch: [98] [ 20/732] learning_rate: 0.147613 loss_vfl: 1.386144 loss_bbox: 0.801025 loss_dfl: 0.559654 loss: 2.776947 eta: 1 day, 22:30:09 batch_cost: 1.2343 data_cost: 0.0011 ips: 32.4066 images/s
[07/27 14:16:08] ppdet.engine INFO: Epoch: [98] [ 40/732] learning_rate: 0.147586 loss_vfl: 1.315786 loss_bbox: 0.745089 loss_dfl: 0.522777 loss: 2.585771 eta: 1 day, 22:29:45 batch_cost: 1.0986 data_cost: 0.0053 ips: 36.4116 images/s
[07/27 14:16:35] ppdet.engine INFO: Epoch: [98] [ 60/732] learning_rate: 0.147560 loss_vfl: 1.343080 loss_bbox: 0.781270 loss_dfl: 0.528592 loss: 2.633898 eta: 1 day, 22:29:23 batch_cost: 1.1461 data_cost: 0.0056 ips: 34.9003 images/s
[07/27 14:17:03] ppdet.engine INFO: Epoch: [98] [ 80/732] learning_rate: 0.147533 loss_vfl: 1.334752 loss_bbox: 0.760172 loss_dfl: 0.534661 loss: 2.664648 eta: 1 day, 22:29:01 batch_cost: 1.1540 data_cost: 0.0062 ips: 34.6620 images/s
[07/27 14:17:30] ppdet.engine INFO: Epoch: [98] [100/732] learning_rate: 0.147506 loss_vfl: 1.360823 loss_bbox: 0.766303 loss_dfl: 0.539867 loss: 2.683873 eta: 1 day, 22:28:37 batch_cost: 1.1082 data_cost: 0.0170 ips: 36.0932 images/s
[07/27 14:17:56] ppdet.engine INFO: Epoch: [98] [120/732] learning_rate: 0.147480 loss_vfl: 1.322071 loss_bbox: 0.778453 loss_dfl: 0.545336 loss: 2.660411 eta: 1 day, 22:28:11 batch_cost: 1.0345 data_cost: 0.0061 ips: 38.6678 images/s
[07/27 14:18:23] ppdet.engine INFO: Epoch: [98] [140/732] learning_rate: 0.147453 loss_vfl: 1.338434 loss_bbox: 0.763884 loss_dfl: 0.542514 loss: 2.659262 eta: 1 day, 22:27:46 batch_cost: 1.0801 data_cost: 0.0144 ips: 37.0341 images/s
[07/27 14:18:49] ppdet.engine INFO: Epoch: [98] [160/732] learning_rate: 0.147427 loss_vfl: 1.367702 loss_bbox: 0.777086 loss_dfl: 0.543819 loss: 2.701585 eta: 1 day, 22:27:20 batch_cost: 1.0509 data_cost: 0.0062 ips: 38.0639 images/s
[07/27 14:19:15] ppdet.engine INFO: Epoch: [98] [180/732] learning_rate: 0.147400 loss_vfl: 1.329034 loss_bbox: 0.757106 loss_dfl: 0.521251 loss: 2.628131 eta: 1 day, 22:26:54 batch_cost: 1.0408 data_cost: 0.0045 ips: 38.4305 images/s
[07/27 14:19:41] ppdet.engine INFO: Epoch: [98] [200/732] learning_rate: 0.147373 loss_vfl: 1.330274 loss_bbox: 0.787269 loss_dfl: 0.544480 loss: 2.665502 eta: 1 day, 22:26:32 batch_cost: 1.1488 data_cost: 0.0033 ips: 34.8175 images/s
[07/27 14:20:07] ppdet.engine INFO: Epoch: [98] [220/732] learning_rate: 0.147347 loss_vfl: 1.237501 loss_bbox: 0.724429 loss_dfl: 0.495753 loss: 2.424881 eta: 1 day, 22:26:06 batch_cost: 1.0620 data_cost: 0.0055 ips: 37.6650 images/s
[07/27 14:20:34] ppdet.engine INFO: Epoch: [98] [240/732] learning_rate: 0.147320 loss_vfl: 1.336327 loss_bbox: 0.758653 loss_dfl: 0.526882 loss: 2.608181 eta: 1 day, 22:25:42 batch_cost: 1.0979 data_cost: 0.0097 ips: 36.4346 images/s
[07/27 14:21:00] ppdet.engine INFO: Epoch: [98] [260/732] learning_rate: 0.147293 loss_vfl: 1.306823 loss_bbox: 0.772648 loss_dfl: 0.523925 loss: 2.611875 eta: 1 day, 22:25:18 batch_cost: 1.0931 data_cost: 0.0124 ips: 36.5942 images/s
[07/27 14:21:27] ppdet.engine INFO: Epoch: [98] [280/732] learning_rate: 0.147267 loss_vfl: 1.302856 loss_bbox: 0.768790 loss_dfl: 0.519574 loss: 2.579387 eta: 1 day, 22:24:54 batch_cost: 1.1132 data_cost: 0.0051 ips: 35.9338 images/s
[07/27 14:21:51] ppdet.engine INFO: Epoch: [98] [300/732] learning_rate: 0.147240 loss_vfl: 1.295527 loss_bbox: 0.737688 loss_dfl: 0.505276 loss: 2.498351 eta: 1 day, 22:24:25 batch_cost: 0.9611 data_cost: 0.0055 ips: 41.6194 images/s
[07/27 14:22:18] ppdet.engine INFO: Epoch: [98] [320/732] learning_rate: 0.147213 loss_vfl: 1.354526 loss_bbox: 0.779541 loss_dfl: 0.539817 loss: 2.672586 eta: 1 day, 22:24:02 batch_cost: 1.1371 data_cost: 0.0050 ips: 35.1782 images/s
[07/27 14:22:45] ppdet.engine INFO: Epoch: [98] [340/732] learning_rate: 0.147187 loss_vfl: 1.348794 loss_bbox: 0.786460 loss_dfl: 0.542749 loss: 2.672578 eta: 1 day, 22:23:41 batch_cost: 1.1629 data_cost: 0.0027 ips: 34.3955 images/s
[07/27 14:23:13] ppdet.engine INFO: Epoch: [98] [360/732] learning_rate: 0.147160 loss_vfl: 1.367810 loss_bbox: 0.762507 loss_dfl: 0.542911 loss: 2.699262 eta: 1 day, 22:23:22 batch_cost: 1.2343 data_cost: 0.0072 ips: 32.4073 images/s
[07/27 14:23:39] ppdet.engine INFO: Epoch: [98] [380/732] learning_rate: 0.147134 loss_vfl: 1.316734 loss_bbox: 0.729332 loss_dfl: 0.509054 loss: 2.548866 eta: 1 day, 22:22:59 batch_cost: 1.1212 data_cost: 0.0036 ips: 35.6757 images/s
[07/27 14:24:07] ppdet.engine INFO: Epoch: [98] [400/732] learning_rate: 0.147107 loss_vfl: 1.280364 loss_bbox: 0.724939 loss_dfl: 0.509681 loss: 2.514543 eta: 1 day, 22:22:38 batch_cost: 1.1734 data_cost: 0.0039 ips: 34.0884 images/s
[07/27 14:24:35] ppdet.engine INFO: Epoch: [98] [420/732] learning_rate: 0.147080 loss_vfl: 1.401169 loss_bbox: 0.763936 loss_dfl: 0.550782 loss: 2.725492 eta: 1 day, 22:22:19 batch_cost: 1.2022 data_cost: 0.0048 ips: 33.2714 images/s
[07/27 14:25:01] ppdet.engine INFO: Epoch: [98] [440/732] learning_rate: 0.147053 loss_vfl: 1.357372 loss_bbox: 0.781963 loss_dfl: 0.534626 loss: 2.676991 eta: 1 day, 22:21:58 batch_cost: 1.1778 data_cost: 0.0032 ips: 33.9604 images/s
[07/27 14:25:30] ppdet.engine INFO: Epoch: [98] [460/732] learning_rate: 0.147027 loss_vfl: 1.280031 loss_bbox: 0.749268 loss_dfl: 0.518896 loss: 2.524675 eta: 1 day, 22:21:38 batch_cost: 1.1993 data_cost: 0.0124 ips: 33.3531 images/s
[07/27 14:25:56] ppdet.engine INFO: Epoch: [98] [480/732] learning_rate: 0.147000 loss_vfl: 1.293100 loss_bbox: 0.724680 loss_dfl: 0.509659 loss: 2.518387 eta: 1 day, 22:21:13 batch_cost: 1.0727 data_cost: 0.0161 ips: 37.2875 images/s
[07/27 14:26:22] ppdet.engine INFO: Epoch: [98] [500/732] learning_rate: 0.146973 loss_vfl: 1.332596 loss_bbox: 0.743429 loss_dfl: 0.519364 loss: 2.588089 eta: 1 day, 22:20:49 batch_cost: 1.1108 data_cost: 0.0080 ips: 36.0114 images/s
[07/27 14:26:51] ppdet.engine INFO: Epoch: [98] [520/732] learning_rate: 0.146947 loss_vfl: 1.310325 loss_bbox: 0.743533 loss_dfl: 0.510761 loss: 2.594991 eta: 1 day, 22:20:27 batch_cost: 1.1304 data_cost: 0.0106 ips: 35.3864 images/s
[07/27 14:27:16] ppdet.engine INFO: Epoch: [98] [540/732] learning_rate: 0.146920 loss_vfl: 1.302114 loss_bbox: 0.742853 loss_dfl: 0.519067 loss: 2.584389 eta: 1 day, 22:20:00 batch_cost: 1.0257 data_cost: 0.0025 ips: 38.9988 images/s
[07/27 14:27:43] ppdet.engine INFO: Epoch: [98] [560/732] learning_rate: 0.146893 loss_vfl: 1.283657 loss_bbox: 0.727459 loss_dfl: 0.507941 loss: 2.546864 eta: 1 day, 22:19:38 batch_cost: 1.1558 data_cost: 0.0065 ips: 34.6085 images/s
[07/27 14:28:11] ppdet.engine INFO: Epoch: [98] [580/732] learning_rate: 0.146867 loss_vfl: 1.229517 loss_bbox: 0.697415 loss_dfl: 0.486384 loss: 2.422846 eta: 1 day, 22:19:15 batch_cost: 1.1337 data_cost: 0.0060 ips: 35.2818 images/s
[07/27 14:28:37] ppdet.engine INFO: Epoch: [98] [600/732] learning_rate: 0.146840 loss_vfl: 1.319316 loss_bbox: 0.704452 loss_dfl: 0.498185 loss: 2.498407 eta: 1 day, 22:18:50 batch_cost: 1.0599 data_cost: 0.0078 ips: 37.7395 images/s
[07/27 14:29:05] ppdet.engine INFO: Epoch: [98] [620/732] learning_rate: 0.146813 loss_vfl: 1.350379 loss_bbox: 0.811980 loss_dfl: 0.551283 loss: 2.701765 eta: 1 day, 22:18:29 batch_cost: 1.1885 data_cost: 0.0050 ips: 33.6557 images/s
[07/27 14:29:31] ppdet.engine INFO: Epoch: [98] [640/732] learning_rate: 0.146786 loss_vfl: 1.284694 loss_bbox: 0.769704 loss_dfl: 0.524652 loss: 2.593362 eta: 1 day, 22:18:04 batch_cost: 1.0639 data_cost: 0.0031 ips: 37.5990 images/s
[07/27 14:29:56] ppdet.engine INFO: Epoch: [98] [660/732] learning_rate: 0.146760 loss_vfl: 1.277989 loss_bbox: 0.750744 loss_dfl: 0.509239 loss: 2.512605 eta: 1 day, 22:17:37 batch_cost: 1.0242 data_cost: 0.0065 ips: 39.0536 images/s
[07/27 14:30:23] ppdet.engine INFO: Epoch: [98] [680/732] learning_rate: 0.146733 loss_vfl: 1.296323 loss_bbox: 0.790717 loss_dfl: 0.537005 loss: 2.612884 eta: 1 day, 22:17:15 batch_cost: 1.1497 data_cost: 0.0015 ips: 34.7922 images/s
[07/27 14:30:50] ppdet.engine INFO: Epoch: [98] [700/732] learning_rate: 0.146706 loss_vfl: 1.331813 loss_bbox: 0.723385 loss_dfl: 0.521138 loss: 2.579331 eta: 1 day, 22:16:53 batch_cost: 1.1602 data_cost: 0.0043 ips: 34.4776 images/s
[07/27 14:31:18] ppdet.engine INFO: Epoch: [98] [720/732] learning_rate: 0.146680 loss_vfl: 1.295016 loss_bbox: 0.728411 loss_dfl: 0.504187 loss: 2.554019 eta: 1 day, 22:16:32 batch_cost: 1.1614 data_cost: 0.0059 ips: 34.4402 images/s
[07/27 14:31:37] ppdet.engine INFO: Epoch: [99] [  0/732] learning_rate: 0.146664 loss_vfl: 1.300517 loss_bbox: 0.767494 loss_dfl: 0.525619 loss: 2.588916 eta: 1 day, 22:16:24 batch_cost: 1.2655 data_cost: 0.3093 ips: 31.6070 images/s
[07/27 14:32:10] ppdet.engine INFO: Epoch: [99] [ 20/732] learning_rate: 0.146637 loss_vfl: 1.352920 loss_bbox: 0.777377 loss_dfl: 0.536058 loss: 2.655589 eta: 1 day, 22:16:13 batch_cost: 1.4241 data_cost: 0.0665 ips: 28.0870 images/s
[07/27 14:32:37] ppdet.engine INFO: Epoch: [99] [ 40/732] learning_rate: 0.146610 loss_vfl: 1.359910 loss_bbox: 0.752492 loss_dfl: 0.529056 loss: 2.633628 eta: 1 day, 22:15:48 batch_cost: 1.0816 data_cost: 0.0082 ips: 36.9829 images/s
[07/27 14:33:04] ppdet.engine INFO: Epoch: [99] [ 60/732] learning_rate: 0.146583 loss_vfl: 1.303151 loss_bbox: 0.737978 loss_dfl: 0.504230 loss: 2.532308 eta: 1 day, 22:15:27 batch_cost: 1.1734 data_cost: 0.0065 ips: 34.0898 images/s
[07/27 14:33:30] ppdet.engine INFO: Epoch: [99] [ 80/732] learning_rate: 0.146557 loss_vfl: 1.269747 loss_bbox: 0.721013 loss_dfl: 0.499605 loss: 2.493210 eta: 1 day, 22:15:03 batch_cost: 1.0999 data_cost: 0.0065 ips: 36.3658 images/s
[07/27 14:33:58] ppdet.engine INFO: Epoch: [99] [100/732] learning_rate: 0.146530 loss_vfl: 1.280883 loss_bbox: 0.740045 loss_dfl: 0.507486 loss: 2.479249 eta: 1 day, 22:14:40 batch_cost: 1.1243 data_cost: 0.0043 ips: 35.5786 images/s
[07/27 14:34:25] ppdet.engine INFO: Epoch: [99] [120/732] learning_rate: 0.146503 loss_vfl: 1.284820 loss_bbox: 0.726300 loss_dfl: 0.500838 loss: 2.512403 eta: 1 day, 22:14:19 batch_cost: 1.1754 data_cost: 0.0078 ips: 34.0324 images/s
[07/27 14:34:53] ppdet.engine INFO: Epoch: [99] [140/732] learning_rate: 0.146476 loss_vfl: 1.284161 loss_bbox: 0.745372 loss_dfl: 0.511621 loss: 2.544374 eta: 1 day, 22:13:59 batch_cost: 1.1808 data_cost: 0.0159 ips: 33.8751 images/s
[07/27 14:35:21] ppdet.engine INFO: Epoch: [99] [160/732] learning_rate: 0.146450 loss_vfl: 1.321149 loss_bbox: 0.749794 loss_dfl: 0.519939 loss: 2.598988 eta: 1 day, 22:13:38 batch_cost: 1.1842 data_cost: 0.0068 ips: 33.7768 images/s
[07/27 14:35:47] ppdet.engine INFO: Epoch: [99] [180/732] learning_rate: 0.146423 loss_vfl: 1.280716 loss_bbox: 0.711522 loss_dfl: 0.502525 loss: 2.491522 eta: 1 day, 22:13:17 batch_cost: 1.1589 data_cost: 0.0020 ips: 34.5148 images/s
[07/27 14:36:16] ppdet.engine INFO: Epoch: [99] [200/732] learning_rate: 0.146396 loss_vfl: 1.333086 loss_bbox: 0.729418 loss_dfl: 0.515631 loss: 2.597750 eta: 1 day, 22:12:57 batch_cost: 1.2156 data_cost: 0.0107 ips: 32.9060 images/s
[07/27 14:36:42] ppdet.engine INFO: Epoch: [99] [220/732] learning_rate: 0.146369 loss_vfl: 1.290704 loss_bbox: 0.741698 loss_dfl: 0.511339 loss: 2.536923 eta: 1 day, 22:12:33 batch_cost: 1.0906 data_cost: 0.0066 ips: 36.6766 images/s
[07/27 14:37:09] ppdet.engine INFO: Epoch: [99] [240/732] learning_rate: 0.146342 loss_vfl: 1.340896 loss_bbox: 0.776165 loss_dfl: 0.538712 loss: 2.662443 eta: 1 day, 22:12:12 batch_cost: 1.1672 data_cost: 0.0076 ips: 34.2713 images/s
[07/27 14:37:35] ppdet.engine INFO: Epoch: [99] [260/732] learning_rate: 0.146316 loss_vfl: 1.340537 loss_bbox: 0.763154 loss_dfl: 0.522226 loss: 2.605563 eta: 1 day, 22:11:50 batch_cost: 1.1531 data_cost: 0.0086 ips: 34.6878 images/s
[07/27 14:38:01] ppdet.engine INFO: Epoch: [99] [280/732] learning_rate: 0.146289 loss_vfl: 1.305221 loss_bbox: 0.765321 loss_dfl: 0.513420 loss: 2.586370 eta: 1 day, 22:11:28 batch_cost: 1.1447 data_cost: 0.0037 ips: 34.9443 images/s
[07/27 14:38:30] ppdet.engine INFO: Epoch: [99] [300/732] learning_rate: 0.146262 loss_vfl: 1.328105 loss_bbox: 0.731050 loss_dfl: 0.512925 loss: 2.547513 eta: 1 day, 22:11:09 batch_cost: 1.2286 data_cost: 0.0041 ips: 32.5581 images/s
[07/27 14:38:56] ppdet.engine INFO: Epoch: [99] [320/732] learning_rate: 0.146235 loss_vfl: 1.366139 loss_bbox: 0.770101 loss_dfl: 0.541553 loss: 2.690644 eta: 1 day, 22:10:47 batch_cost: 1.1489 data_cost: 0.0043 ips: 34.8172 images/s
[07/27 14:39:24] ppdet.engine INFO: Epoch: [99] [340/732] learning_rate: 0.146208 loss_vfl: 1.303115 loss_bbox: 0.701445 loss_dfl: 0.498913 loss: 2.523698 eta: 1 day, 22:10:29 batch_cost: 1.2388 data_cost: 0.0064 ips: 32.2893 images/s
[07/27 14:39:49] ppdet.engine INFO: Epoch: [99] [360/732] learning_rate: 0.146182 loss_vfl: 1.319041 loss_bbox: 0.754194 loss_dfl: 0.526560 loss: 2.593470 eta: 1 day, 22:10:03 batch_cost: 1.0584 data_cost: 0.0068 ips: 37.7944 images/s
[07/27 14:40:16] ppdet.engine INFO: Epoch: [99] [380/732] learning_rate: 0.146155 loss_vfl: 1.303513 loss_bbox: 0.741737 loss_dfl: 0.510674 loss: 2.567883 eta: 1 day, 22:09:38 batch_cost: 1.0680 data_cost: 0.0087 ips: 37.4522 images/s
[07/27 14:40:43] ppdet.engine INFO: Epoch: [99] [400/732] learning_rate: 0.146128 loss_vfl: 1.290481 loss_bbox: 0.735479 loss_dfl: 0.516866 loss: 2.544030 eta: 1 day, 22:09:18 batch_cost: 1.1968 data_cost: 0.0068 ips: 33.4234 images/s
[07/27 14:41:10] ppdet.engine INFO: Epoch: [99] [420/732] learning_rate: 0.146101 loss_vfl: 1.234795 loss_bbox: 0.713355 loss_dfl: 0.488437 loss: 2.433787 eta: 1 day, 22:08:56 batch_cost: 1.1571 data_cost: 0.0058 ips: 34.5684 images/s
[07/27 14:41:37] ppdet.engine INFO: Epoch: [99] [440/732] learning_rate: 0.146074 loss_vfl: 1.316630 loss_bbox: 0.761364 loss_dfl: 0.520820 loss: 2.593595 eta: 1 day, 22:08:37 batch_cost: 1.2276 data_cost: 0.0057 ips: 32.5842 images/s
[07/27 14:42:04] ppdet.engine INFO: Epoch: [99] [460/732] learning_rate: 0.146048 loss_vfl: 1.323584 loss_bbox: 0.748435 loss_dfl: 0.520014 loss: 2.582597 eta: 1 day, 22:08:13 batch_cost: 1.0955 data_cost: 0.0090 ips: 36.5129 images/s
[07/27 14:42:32] ppdet.engine INFO: Epoch: [99] [480/732] learning_rate: 0.146021 loss_vfl: 1.337445 loss_bbox: 0.759717 loss_dfl: 0.519872 loss: 2.614834 eta: 1 day, 22:07:53 batch_cost: 1.1945 data_cost: 0.0044 ips: 33.4876 images/s
[07/27 14:43:00] ppdet.engine INFO: Epoch: [99] [500/732] learning_rate: 0.145994 loss_vfl: 1.325936 loss_bbox: 0.724715 loss_dfl: 0.507008 loss: 2.555990 eta: 1 day, 22:07:32 batch_cost: 1.1824 data_cost: 0.0084 ips: 33.8297 images/s
[07/27 14:43:26] ppdet.engine INFO: Epoch: [99] [520/732] learning_rate: 0.145967 loss_vfl: 1.317615 loss_bbox: 0.743567 loss_dfl: 0.517097 loss: 2.589971 eta: 1 day, 22:07:09 batch_cost: 1.1081 data_cost: 0.0075 ips: 36.0969 images/s
[07/27 14:43:52] ppdet.engine INFO: Epoch: [99] [540/732] learning_rate: 0.145940 loss_vfl: 1.346599 loss_bbox: 0.744190 loss_dfl: 0.526552 loss: 2.641087 eta: 1 day, 22:06:44 batch_cost: 1.0782 data_cost: 0.0020 ips: 37.0984 images/s
[07/27 14:44:17] ppdet.engine INFO: Epoch: [99] [560/732] learning_rate: 0.145913 loss_vfl: 1.247549 loss_bbox: 0.719924 loss_dfl: 0.508124 loss: 2.510568 eta: 1 day, 22:06:22 batch_cost: 1.1440 data_cost: 0.0051 ips: 34.9647 images/s
[07/27 14:44:45] ppdet.engine INFO: Epoch: [99] [580/732] learning_rate: 0.145886 loss_vfl: 1.255585 loss_bbox: 0.732184 loss_dfl: 0.501168 loss: 2.488456 eta: 1 day, 22:06:01 batch_cost: 1.1690 data_cost: 0.0052 ips: 34.2161 images/s
[07/27 14:45:12] ppdet.engine INFO: Epoch: [99] [600/732] learning_rate: 0.145860 loss_vfl: 1.303683 loss_bbox: 0.752184 loss_dfl: 0.519499 loss: 2.576597 eta: 1 day, 22:05:37 batch_cost: 1.1057 data_cost: 0.0068 ips: 36.1761 images/s
[07/27 14:45:39] ppdet.engine INFO: Epoch: [99] [620/732] learning_rate: 0.145833 loss_vfl: 1.304423 loss_bbox: 0.758488 loss_dfl: 0.525421 loss: 2.627566 eta: 1 day, 22:05:13 batch_cost: 1.1014 data_cost: 0.0083 ips: 36.3175 images/s
[07/27 14:46:06] ppdet.engine INFO: Epoch: [99] [640/732] learning_rate: 0.145806 loss_vfl: 1.383659 loss_bbox: 0.786530 loss_dfl: 0.538164 loss: 2.718266 eta: 1 day, 22:04:51 batch_cost: 1.1423 data_cost: 0.0059 ips: 35.0174 images/s
[07/27 14:46:32] ppdet.engine INFO: Epoch: [99] [660/732] learning_rate: 0.145779 loss_vfl: 1.312339 loss_bbox: 0.750393 loss_dfl: 0.520810 loss: 2.596169 eta: 1 day, 22:04:26 batch_cost: 1.0847 data_cost: 0.0080 ips: 36.8757 images/s
[07/27 14:46:58] ppdet.engine INFO: Epoch: [99] [680/732] learning_rate: 0.145752 loss_vfl: 1.267862 loss_bbox: 0.708257 loss_dfl: 0.490163 loss: 2.465793 eta: 1 day, 22:04:00 batch_cost: 1.0423 data_cost: 0.0052 ips: 38.3752 images/s
[07/27 14:47:27] ppdet.engine INFO: Epoch: [99] [700/732] learning_rate: 0.145725 loss_vfl: 1.287306 loss_bbox: 0.716454 loss_dfl: 0.502645 loss: 2.495472 eta: 1 day, 22:03:41 batch_cost: 1.2169 data_cost: 0.0047 ips: 32.8706 images/s
[07/27 14:47:54] ppdet.engine INFO: Epoch: [99] [720/732] learning_rate: 0.145698 loss_vfl: 1.300938 loss_bbox: 0.728016 loss_dfl: 0.520035 loss: 2.550332 eta: 1 day, 22:03:19 batch_cost: 1.1623 data_cost: 0.0060 ips: 34.4150 images/s
[07/27 14:48:06] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 14:48:06] ppdet.engine INFO: Eval iter: 0
[07/27 14:48:29] ppdet.engine INFO: Eval iter: 100
[07/27 14:48:40] ppdet.engine INFO: Eval iter: 200
[07/27 14:48:51] ppdet.engine INFO: Eval iter: 300
[07/27 14:49:02] ppdet.engine INFO: Eval iter: 400
[07/27 14:49:14] ppdet.engine INFO: Eval iter: 500
[07/27 14:49:25] ppdet.engine INFO: Eval iter: 600
[07/27 14:49:41] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.64s)
creating index...
index created!
[07/27 14:49:42] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.78s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=98.53s).
Accumulating evaluation results...
DONE (t=18.56s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.239
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.371
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.251
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.101
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.251
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.361
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.242
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.395
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.421
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.175
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.467
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.628
[07/27 14:51:46] ppdet.engine INFO: Total sample number: 4952, averge FPS: 60.30549517747078
[07/27 14:51:46] ppdet.engine INFO: Best test bbox ap is 0.239.
[07/27 14:51:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 14:51:47] ppdet.engine INFO: Epoch: [100] [  0/732] learning_rate: 0.145682 loss_vfl: 1.296180 loss_bbox: 0.744842 loss_dfl: 0.527985 loss: 2.555148 eta: 1 day, 22:02:55 batch_cost: 0.8584 data_cost: 0.0014 ips: 46.5999 images/s
[07/27 14:52:10] ppdet.engine INFO: Epoch: [100] [ 20/732] learning_rate: 0.145655 loss_vfl: 1.066128 loss_bbox: 0.613678 loss_dfl: 0.473300 loss: 2.159510 eta: 1 day, 22:02:26 batch_cost: 0.9550 data_cost: 0.0047 ips: 41.8857 images/s
[07/27 14:52:37] ppdet.engine INFO: Epoch: [100] [ 40/732] learning_rate: 0.145629 loss_vfl: 1.093899 loss_bbox: 0.646900 loss_dfl: 0.510513 loss: 2.251042 eta: 1 day, 22:02:00 batch_cost: 1.0609 data_cost: 0.0077 ips: 37.7021 images/s
[07/27 14:53:03] ppdet.engine INFO: Epoch: [100] [ 60/732] learning_rate: 0.145602 loss_vfl: 1.072995 loss_bbox: 0.597830 loss_dfl: 0.474622 loss: 2.155966 eta: 1 day, 22:01:37 batch_cost: 1.1163 data_cost: 0.0035 ips: 35.8319 images/s
[07/27 14:53:31] ppdet.engine INFO: Epoch: [100] [ 80/732] learning_rate: 0.145575 loss_vfl: 1.096936 loss_bbox: 0.607295 loss_dfl: 0.487770 loss: 2.188154 eta: 1 day, 22:01:16 batch_cost: 1.1836 data_cost: 0.0048 ips: 33.7949 images/s
[07/27 14:53:56] ppdet.engine INFO: Epoch: [100] [100/732] learning_rate: 0.145548 loss_vfl: 1.098212 loss_bbox: 0.607538 loss_dfl: 0.474844 loss: 2.168660 eta: 1 day, 22:00:52 batch_cost: 1.0941 data_cost: 0.0069 ips: 36.5601 images/s
[07/27 14:54:21] ppdet.engine INFO: Epoch: [100] [120/732] learning_rate: 0.145521 loss_vfl: 1.118310 loss_bbox: 0.589013 loss_dfl: 0.485025 loss: 2.194319 eta: 1 day, 22:00:29 batch_cost: 1.1103 data_cost: 0.0115 ips: 36.0276 images/s
[07/27 14:54:49] ppdet.engine INFO: Epoch: [100] [140/732] learning_rate: 0.145494 loss_vfl: 1.163945 loss_bbox: 0.642820 loss_dfl: 0.514193 loss: 2.314117 eta: 1 day, 22:00:05 batch_cost: 1.1141 data_cost: 0.0070 ips: 35.9030 images/s
[07/27 14:55:17] ppdet.engine INFO: Epoch: [100] [160/732] learning_rate: 0.145467 loss_vfl: 1.088565 loss_bbox: 0.585665 loss_dfl: 0.469705 loss: 2.169547 eta: 1 day, 21:59:45 batch_cost: 1.2005 data_cost: 0.0095 ips: 33.3197 images/s
[07/27 14:55:42] ppdet.engine INFO: Epoch: [100] [180/732] learning_rate: 0.145440 loss_vfl: 1.031927 loss_bbox: 0.557837 loss_dfl: 0.454852 loss: 2.041454 eta: 1 day, 21:59:20 batch_cost: 1.0752 data_cost: 0.0064 ips: 37.2026 images/s
[07/27 14:56:08] ppdet.engine INFO: Epoch: [100] [200/732] learning_rate: 0.145413 loss_vfl: 1.094766 loss_bbox: 0.586417 loss_dfl: 0.480155 loss: 2.166561 eta: 1 day, 21:58:59 batch_cost: 1.1565 data_cost: 0.0069 ips: 34.5872 images/s
[07/27 14:56:35] ppdet.engine INFO: Epoch: [100] [220/732] learning_rate: 0.145386 loss_vfl: 1.070874 loss_bbox: 0.564999 loss_dfl: 0.464767 loss: 2.108842 eta: 1 day, 21:58:36 batch_cost: 1.1370 data_cost: 0.0147 ips: 35.1804 images/s
[07/27 14:57:01] ppdet.engine INFO: Epoch: [100] [240/732] learning_rate: 0.145359 loss_vfl: 1.081610 loss_bbox: 0.589005 loss_dfl: 0.480801 loss: 2.157772 eta: 1 day, 21:58:10 batch_cost: 1.0453 data_cost: 0.0075 ips: 38.2647 images/s
[07/27 14:57:28] ppdet.engine INFO: Epoch: [100] [260/732] learning_rate: 0.145333 loss_vfl: 1.068432 loss_bbox: 0.557506 loss_dfl: 0.455002 loss: 2.067732 eta: 1 day, 21:57:46 batch_cost: 1.0899 data_cost: 0.0111 ips: 36.7018 images/s
[07/27 14:57:53] ppdet.engine INFO: Epoch: [100] [280/732] learning_rate: 0.145306 loss_vfl: 1.127546 loss_bbox: 0.599347 loss_dfl: 0.490588 loss: 2.220403 eta: 1 day, 21:57:18 batch_cost: 1.0142 data_cost: 0.0085 ips: 39.4409 images/s
[07/27 14:58:20] ppdet.engine INFO: Epoch: [100] [300/732] learning_rate: 0.145279 loss_vfl: 1.092654 loss_bbox: 0.581828 loss_dfl: 0.481426 loss: 2.164501 eta: 1 day, 21:56:56 batch_cost: 1.1478 data_cost: 0.0166 ips: 34.8500 images/s
[07/27 14:58:46] ppdet.engine INFO: Epoch: [100] [320/732] learning_rate: 0.145252 loss_vfl: 1.107735 loss_bbox: 0.610147 loss_dfl: 0.496447 loss: 2.223964 eta: 1 day, 21:56:31 batch_cost: 1.0655 data_cost: 0.0064 ips: 37.5410 images/s
[07/27 14:59:13] ppdet.engine INFO: Epoch: [100] [340/732] learning_rate: 0.145225 loss_vfl: 1.100054 loss_bbox: 0.595980 loss_dfl: 0.475520 loss: 2.174994 eta: 1 day, 21:56:08 batch_cost: 1.1284 data_cost: 0.0068 ips: 35.4489 images/s
[07/27 14:59:37] ppdet.engine INFO: Epoch: [100] [360/732] learning_rate: 0.145198 loss_vfl: 1.115090 loss_bbox: 0.616555 loss_dfl: 0.494677 loss: 2.232348 eta: 1 day, 21:55:40 batch_cost: 0.9919 data_cost: 0.0159 ips: 40.3251 images/s
[07/27 15:00:03] ppdet.engine INFO: Epoch: [100] [380/732] learning_rate: 0.145171 loss_vfl: 1.071787 loss_bbox: 0.594517 loss_dfl: 0.474540 loss: 2.131759 eta: 1 day, 21:55:13 batch_cost: 1.0263 data_cost: 0.0074 ips: 38.9734 images/s
[07/27 15:00:28] ppdet.engine INFO: Epoch: [100] [400/732] learning_rate: 0.145144 loss_vfl: 1.059937 loss_bbox: 0.567404 loss_dfl: 0.465111 loss: 2.105599 eta: 1 day, 21:54:44 batch_cost: 0.9718 data_cost: 0.0055 ips: 41.1599 images/s
[07/27 15:00:55] ppdet.engine INFO: Epoch: [100] [420/732] learning_rate: 0.145117 loss_vfl: 1.090284 loss_bbox: 0.580809 loss_dfl: 0.467801 loss: 2.132046 eta: 1 day, 21:54:23 batch_cost: 1.1586 data_cost: 0.0054 ips: 34.5236 images/s
[07/27 15:01:21] ppdet.engine INFO: Epoch: [100] [440/732] learning_rate: 0.145090 loss_vfl: 1.091280 loss_bbox: 0.574890 loss_dfl: 0.470952 loss: 2.148331 eta: 1 day, 21:53:57 batch_cost: 1.0471 data_cost: 0.0096 ips: 38.2023 images/s
[07/27 15:01:45] ppdet.engine INFO: Epoch: [100] [460/732] learning_rate: 0.145063 loss_vfl: 1.089294 loss_bbox: 0.598700 loss_dfl: 0.471577 loss: 2.121373 eta: 1 day, 21:53:26 batch_cost: 0.9418 data_cost: 0.0074 ips: 42.4714 images/s
[07/27 15:02:14] ppdet.engine INFO: Epoch: [100] [480/732] learning_rate: 0.145036 loss_vfl: 1.098977 loss_bbox: 0.585466 loss_dfl: 0.473325 loss: 2.160431 eta: 1 day, 21:53:04 batch_cost: 1.1333 data_cost: 0.0045 ips: 35.2936 images/s
[07/27 15:02:39] ppdet.engine INFO: Epoch: [100] [500/732] learning_rate: 0.145009 loss_vfl: 1.065559 loss_bbox: 0.592488 loss_dfl: 0.478296 loss: 2.142039 eta: 1 day, 21:52:36 batch_cost: 0.9874 data_cost: 0.0024 ips: 40.5120 images/s
[07/27 15:03:05] ppdet.engine INFO: Epoch: [100] [520/732] learning_rate: 0.144982 loss_vfl: 1.111487 loss_bbox: 0.589021 loss_dfl: 0.488378 loss: 2.214950 eta: 1 day, 21:52:09 batch_cost: 1.0345 data_cost: 0.0045 ips: 38.6673 images/s
[07/27 15:03:32] ppdet.engine INFO: Epoch: [100] [540/732] learning_rate: 0.144955 loss_vfl: 1.078204 loss_bbox: 0.567172 loss_dfl: 0.471835 loss: 2.113408 eta: 1 day, 21:51:46 batch_cost: 1.1128 data_cost: 0.0052 ips: 35.9459 images/s
[07/27 15:03:57] ppdet.engine INFO: Epoch: [100] [560/732] learning_rate: 0.144928 loss_vfl: 1.127138 loss_bbox: 0.606718 loss_dfl: 0.484335 loss: 2.211017 eta: 1 day, 21:51:20 batch_cost: 1.0540 data_cost: 0.0056 ips: 37.9497 images/s
[07/27 15:04:23] ppdet.engine INFO: Epoch: [100] [580/732] learning_rate: 0.144901 loss_vfl: 1.103902 loss_bbox: 0.597195 loss_dfl: 0.481943 loss: 2.186973 eta: 1 day, 21:50:56 batch_cost: 1.0994 data_cost: 0.0105 ips: 36.3826 images/s
[07/27 15:04:50] ppdet.engine INFO: Epoch: [100] [600/732] learning_rate: 0.144874 loss_vfl: 1.101525 loss_bbox: 0.617812 loss_dfl: 0.489027 loss: 2.216414 eta: 1 day, 21:50:35 batch_cost: 1.1693 data_cost: 0.0026 ips: 34.2093 images/s
[07/27 15:05:18] ppdet.engine INFO: Epoch: [100] [620/732] learning_rate: 0.144847 loss_vfl: 1.145455 loss_bbox: 0.612854 loss_dfl: 0.501721 loss: 2.254542 eta: 1 day, 21:50:09 batch_cost: 1.0580 data_cost: 0.0068 ips: 37.8072 images/s
[07/27 15:05:44] ppdet.engine INFO: Epoch: [100] [640/732] learning_rate: 0.144820 loss_vfl: 1.088912 loss_bbox: 0.611973 loss_dfl: 0.490267 loss: 2.189934 eta: 1 day, 21:49:44 batch_cost: 1.0743 data_cost: 0.0093 ips: 37.2324 images/s
[07/27 15:06:09] ppdet.engine INFO: Epoch: [100] [660/732] learning_rate: 0.144793 loss_vfl: 1.095868 loss_bbox: 0.580544 loss_dfl: 0.469182 loss: 2.163227 eta: 1 day, 21:49:18 batch_cost: 1.0475 data_cost: 0.0055 ips: 38.1866 images/s
[07/27 15:06:36] ppdet.engine INFO: Epoch: [100] [680/732] learning_rate: 0.144766 loss_vfl: 1.118423 loss_bbox: 0.618903 loss_dfl: 0.488364 loss: 2.229105 eta: 1 day, 21:48:53 batch_cost: 1.0717 data_cost: 0.0078 ips: 37.3254 images/s
[07/27 15:07:02] ppdet.engine INFO: Epoch: [100] [700/732] learning_rate: 0.144739 loss_vfl: 1.047427 loss_bbox: 0.567506 loss_dfl: 0.463162 loss: 2.086807 eta: 1 day, 21:48:27 batch_cost: 1.0384 data_cost: 0.0296 ips: 38.5199 images/s
[07/27 15:07:29] ppdet.engine INFO: Epoch: [100] [720/732] learning_rate: 0.144712 loss_vfl: 1.084650 loss_bbox: 0.569550 loss_dfl: 0.466283 loss: 2.117945 eta: 1 day, 21:48:03 batch_cost: 1.1055 data_cost: 0.1833 ips: 36.1825 images/s
[07/27 15:07:51] ppdet.engine INFO: Epoch: [101] [  0/732] learning_rate: 0.144696 loss_vfl: 1.097024 loss_bbox: 0.570503 loss_dfl: 0.470351 loss: 2.138546 eta: 1 day, 21:48:00 batch_cost: 1.2750 data_cost: 0.5102 ips: 31.3714 images/s
[07/27 15:08:19] ppdet.engine INFO: Epoch: [101] [ 20/732] learning_rate: 0.144669 loss_vfl: 1.107576 loss_bbox: 0.580750 loss_dfl: 0.472190 loss: 2.145166 eta: 1 day, 21:47:38 batch_cost: 1.1621 data_cost: 0.0056 ips: 34.4197 images/s
[07/27 15:08:45] ppdet.engine INFO: Epoch: [101] [ 40/732] learning_rate: 0.144642 loss_vfl: 1.132272 loss_bbox: 0.610239 loss_dfl: 0.489930 loss: 2.253878 eta: 1 day, 21:47:13 batch_cost: 1.0714 data_cost: 0.0072 ips: 37.3326 images/s
[07/27 15:09:12] ppdet.engine INFO: Epoch: [101] [ 60/732] learning_rate: 0.144615 loss_vfl: 1.089392 loss_bbox: 0.572933 loss_dfl: 0.471793 loss: 2.144665 eta: 1 day, 21:46:51 batch_cost: 1.1536 data_cost: 0.0074 ips: 34.6749 images/s
[07/27 15:09:39] ppdet.engine INFO: Epoch: [101] [ 80/732] learning_rate: 0.144588 loss_vfl: 1.071673 loss_bbox: 0.577765 loss_dfl: 0.471371 loss: 2.132460 eta: 1 day, 21:46:27 batch_cost: 1.0734 data_cost: 0.0045 ips: 37.2644 images/s
[07/27 15:10:04] ppdet.engine INFO: Epoch: [101] [100/732] learning_rate: 0.144561 loss_vfl: 1.072556 loss_bbox: 0.568195 loss_dfl: 0.454243 loss: 2.099022 eta: 1 day, 21:46:02 batch_cost: 1.0758 data_cost: 0.0104 ips: 37.1819 images/s
[07/27 15:10:32] ppdet.engine INFO: Epoch: [101] [120/732] learning_rate: 0.144534 loss_vfl: 1.096862 loss_bbox: 0.575849 loss_dfl: 0.471212 loss: 2.159563 eta: 1 day, 21:45:37 batch_cost: 1.0685 data_cost: 0.0059 ips: 37.4360 images/s
[07/27 15:10:59] ppdet.engine INFO: Epoch: [101] [140/732] learning_rate: 0.144507 loss_vfl: 1.134712 loss_bbox: 0.591041 loss_dfl: 0.483133 loss: 2.202358 eta: 1 day, 21:45:15 batch_cost: 1.1698 data_cost: 0.0221 ips: 34.1951 images/s
[07/27 15:11:24] ppdet.engine INFO: Epoch: [101] [160/732] learning_rate: 0.144480 loss_vfl: 1.143812 loss_bbox: 0.620670 loss_dfl: 0.492827 loss: 2.245960 eta: 1 day, 21:44:47 batch_cost: 0.9981 data_cost: 0.0084 ips: 40.0773 images/s
[07/27 15:11:48] ppdet.engine INFO: Epoch: [101] [180/732] learning_rate: 0.144453 loss_vfl: 1.088167 loss_bbox: 0.592912 loss_dfl: 0.476439 loss: 2.149654 eta: 1 day, 21:44:19 batch_cost: 0.9838 data_cost: 0.0088 ips: 40.6581 images/s
[07/27 15:12:15] ppdet.engine INFO: Epoch: [101] [200/732] learning_rate: 0.144426 loss_vfl: 1.105338 loss_bbox: 0.582734 loss_dfl: 0.482780 loss: 2.156939 eta: 1 day, 21:43:56 batch_cost: 1.1311 data_cost: 0.0088 ips: 35.3624 images/s
[07/27 15:12:40] ppdet.engine INFO: Epoch: [101] [220/732] learning_rate: 0.144398 loss_vfl: 1.143360 loss_bbox: 0.604389 loss_dfl: 0.486006 loss: 2.233675 eta: 1 day, 21:43:30 batch_cost: 1.0457 data_cost: 0.0066 ips: 38.2527 images/s
[07/27 15:13:06] ppdet.engine INFO: Epoch: [101] [240/732] learning_rate: 0.144371 loss_vfl: 1.112581 loss_bbox: 0.579001 loss_dfl: 0.478939 loss: 2.157686 eta: 1 day, 21:43:09 batch_cost: 1.1754 data_cost: 0.0040 ips: 34.0321 images/s
[07/27 15:13:34] ppdet.engine INFO: Epoch: [101] [260/732] learning_rate: 0.144344 loss_vfl: 1.117318 loss_bbox: 0.587485 loss_dfl: 0.473469 loss: 2.155133 eta: 1 day, 21:42:47 batch_cost: 1.1264 data_cost: 0.0089 ips: 35.5112 images/s
[07/27 15:14:00] ppdet.engine INFO: Epoch: [101] [280/732] learning_rate: 0.144317 loss_vfl: 1.099087 loss_bbox: 0.593749 loss_dfl: 0.486923 loss: 2.185187 eta: 1 day, 21:42:22 batch_cost: 1.0859 data_cost: 0.0051 ips: 36.8351 images/s
[07/27 15:14:26] ppdet.engine INFO: Epoch: [101] [300/732] learning_rate: 0.144290 loss_vfl: 1.097922 loss_bbox: 0.560922 loss_dfl: 0.467419 loss: 2.126868 eta: 1 day, 21:41:59 batch_cost: 1.1270 data_cost: 0.0040 ips: 35.4910 images/s
[07/27 15:14:52] ppdet.engine INFO: Epoch: [101] [320/732] learning_rate: 0.144263 loss_vfl: 1.129177 loss_bbox: 0.599312 loss_dfl: 0.492942 loss: 2.231240 eta: 1 day, 21:41:35 batch_cost: 1.0867 data_cost: 0.0087 ips: 36.8077 images/s
[07/27 15:15:17] ppdet.engine INFO: Epoch: [101] [340/732] learning_rate: 0.144236 loss_vfl: 1.083128 loss_bbox: 0.543024 loss_dfl: 0.457340 loss: 2.077848 eta: 1 day, 21:41:08 batch_cost: 1.0159 data_cost: 0.0036 ips: 39.3729 images/s
[07/27 15:15:43] ppdet.engine INFO: Epoch: [101] [360/732] learning_rate: 0.144209 loss_vfl: 1.103888 loss_bbox: 0.606791 loss_dfl: 0.483563 loss: 2.191137 eta: 1 day, 21:40:46 batch_cost: 1.1452 data_cost: 0.0038 ips: 34.9273 images/s
[07/27 15:16:10] ppdet.engine INFO: Epoch: [101] [380/732] learning_rate: 0.144182 loss_vfl: 1.115950 loss_bbox: 0.577715 loss_dfl: 0.473562 loss: 2.181139 eta: 1 day, 21:40:22 batch_cost: 1.1018 data_cost: 0.0024 ips: 36.3056 images/s
[07/27 15:16:36] ppdet.engine INFO: Epoch: [101] [400/732] learning_rate: 0.144155 loss_vfl: 1.096357 loss_bbox: 0.580321 loss_dfl: 0.466037 loss: 2.125885 eta: 1 day, 21:39:58 batch_cost: 1.0899 data_cost: 0.0092 ips: 36.6997 images/s
[07/27 15:17:01] ppdet.engine INFO: Epoch: [101] [420/732] learning_rate: 0.144128 loss_vfl: 1.156929 loss_bbox: 0.607408 loss_dfl: 0.490727 loss: 2.276531 eta: 1 day, 21:39:30 batch_cost: 1.0018 data_cost: 0.0101 ips: 39.9297 images/s
[07/27 15:17:29] ppdet.engine INFO: Epoch: [101] [440/732] learning_rate: 0.144101 loss_vfl: 1.141945 loss_bbox: 0.602251 loss_dfl: 0.489682 loss: 2.261131 eta: 1 day, 21:39:10 batch_cost: 1.2002 data_cost: 0.0031 ips: 33.3284 images/s
[07/27 15:17:56] ppdet.engine INFO: Epoch: [101] [460/732] learning_rate: 0.144073 loss_vfl: 1.096553 loss_bbox: 0.569649 loss_dfl: 0.466001 loss: 2.147683 eta: 1 day, 21:38:50 batch_cost: 1.1973 data_cost: 0.0081 ips: 33.4072 images/s
[07/27 15:18:21] ppdet.engine INFO: Epoch: [101] [480/732] learning_rate: 0.144046 loss_vfl: 1.110839 loss_bbox: 0.596309 loss_dfl: 0.474880 loss: 2.172904 eta: 1 day, 21:38:25 batch_cost: 1.0616 data_cost: 0.0076 ips: 37.6788 images/s
[07/27 15:18:46] ppdet.engine INFO: Epoch: [101] [500/732] learning_rate: 0.144019 loss_vfl: 1.087134 loss_bbox: 0.585774 loss_dfl: 0.475849 loss: 2.135517 eta: 1 day, 21:38:01 batch_cost: 1.0965 data_cost: 0.0055 ips: 36.4781 images/s
[07/27 15:19:14] ppdet.engine INFO: Epoch: [101] [520/732] learning_rate: 0.143992 loss_vfl: 1.135757 loss_bbox: 0.626840 loss_dfl: 0.497607 loss: 2.288561 eta: 1 day, 21:37:37 batch_cost: 1.1136 data_cost: 0.0047 ips: 35.9193 images/s
[07/27 15:19:40] ppdet.engine INFO: Epoch: [101] [540/732] learning_rate: 0.143965 loss_vfl: 1.104093 loss_bbox: 0.577811 loss_dfl: 0.468888 loss: 2.146200 eta: 1 day, 21:37:13 batch_cost: 1.0939 data_cost: 0.0036 ips: 36.5656 images/s
[07/27 15:20:08] ppdet.engine INFO: Epoch: [101] [560/732] learning_rate: 0.143938 loss_vfl: 1.139058 loss_bbox: 0.618423 loss_dfl: 0.499821 loss: 2.256508 eta: 1 day, 21:36:53 batch_cost: 1.1866 data_cost: 0.0060 ips: 33.7104 images/s
[07/27 15:20:34] ppdet.engine INFO: Epoch: [101] [580/732] learning_rate: 0.143911 loss_vfl: 1.106077 loss_bbox: 0.587411 loss_dfl: 0.473920 loss: 2.179367 eta: 1 day, 21:36:28 batch_cost: 1.0697 data_cost: 0.0121 ips: 37.3935 images/s
[07/27 15:21:01] ppdet.engine INFO: Epoch: [101] [600/732] learning_rate: 0.143884 loss_vfl: 1.114022 loss_bbox: 0.591409 loss_dfl: 0.485248 loss: 2.191332 eta: 1 day, 21:36:06 batch_cost: 1.1699 data_cost: 0.0096 ips: 34.1900 images/s
[07/27 15:21:28] ppdet.engine INFO: Epoch: [101] [620/732] learning_rate: 0.143856 loss_vfl: 1.058852 loss_bbox: 0.558152 loss_dfl: 0.456903 loss: 2.078813 eta: 1 day, 21:35:41 batch_cost: 1.0729 data_cost: 0.0097 ips: 37.2819 images/s
[07/27 15:21:53] ppdet.engine INFO: Epoch: [101] [640/732] learning_rate: 0.143829 loss_vfl: 1.112607 loss_bbox: 0.591240 loss_dfl: 0.485990 loss: 2.186781 eta: 1 day, 21:35:15 batch_cost: 1.0248 data_cost: 0.0036 ips: 39.0339 images/s
[07/27 15:22:17] ppdet.engine INFO: Epoch: [101] [660/732] learning_rate: 0.143802 loss_vfl: 1.102135 loss_bbox: 0.572320 loss_dfl: 0.469418 loss: 2.137453 eta: 1 day, 21:34:47 batch_cost: 0.9948 data_cost: 0.0047 ips: 40.2087 images/s
[07/27 15:22:44] ppdet.engine INFO: Epoch: [101] [680/732] learning_rate: 0.143775 loss_vfl: 1.102452 loss_bbox: 0.574816 loss_dfl: 0.478472 loss: 2.163317 eta: 1 day, 21:34:20 batch_cost: 1.0316 data_cost: 0.0053 ips: 38.7736 images/s
[07/27 15:23:10] ppdet.engine INFO: Epoch: [101] [700/732] learning_rate: 0.143748 loss_vfl: 1.119967 loss_bbox: 0.594486 loss_dfl: 0.487748 loss: 2.208275 eta: 1 day, 21:33:55 batch_cost: 1.0773 data_cost: 0.0096 ips: 37.1292 images/s
[07/27 15:23:35] ppdet.engine INFO: Epoch: [101] [720/732] learning_rate: 0.143721 loss_vfl: 1.117187 loss_bbox: 0.594330 loss_dfl: 0.479390 loss: 2.197681 eta: 1 day, 21:33:29 batch_cost: 1.0229 data_cost: 0.0088 ips: 39.1056 images/s
[07/27 15:23:54] ppdet.engine INFO: Epoch: [102] [  0/732] learning_rate: 0.143704 loss_vfl: 1.121384 loss_bbox: 0.618534 loss_dfl: 0.494860 loss: 2.213114 eta: 1 day, 21:33:19 batch_cost: 1.1606 data_cost: 0.3976 ips: 34.4637 images/s
[07/27 15:24:23] ppdet.engine INFO: Epoch: [102] [ 20/732] learning_rate: 0.143677 loss_vfl: 1.118829 loss_bbox: 0.606437 loss_dfl: 0.489774 loss: 2.219329 eta: 1 day, 21:32:59 batch_cost: 1.2185 data_cost: 0.0962 ips: 32.8274 images/s
[07/27 15:24:49] ppdet.engine INFO: Epoch: [102] [ 40/732] learning_rate: 0.143650 loss_vfl: 1.072886 loss_bbox: 0.594669 loss_dfl: 0.474575 loss: 2.138775 eta: 1 day, 21:32:35 batch_cost: 1.0857 data_cost: 0.0084 ips: 36.8442 images/s
[07/27 15:25:17] ppdet.engine INFO: Epoch: [102] [ 60/732] learning_rate: 0.143623 loss_vfl: 1.097288 loss_bbox: 0.585058 loss_dfl: 0.472582 loss: 2.145606 eta: 1 day, 21:32:13 batch_cost: 1.1371 data_cost: 0.0052 ips: 35.1779 images/s
[07/27 15:25:43] ppdet.engine INFO: Epoch: [102] [ 80/732] learning_rate: 0.143596 loss_vfl: 1.114051 loss_bbox: 0.615303 loss_dfl: 0.491985 loss: 2.223214 eta: 1 day, 21:31:46 batch_cost: 1.0415 data_cost: 0.0050 ips: 38.4049 images/s
[07/27 15:26:10] ppdet.engine INFO: Epoch: [102] [100/732] learning_rate: 0.143569 loss_vfl: 1.097929 loss_bbox: 0.583353 loss_dfl: 0.480155 loss: 2.141622 eta: 1 day, 21:31:26 batch_cost: 1.1880 data_cost: 0.0129 ips: 33.6712 images/s
[07/27 15:26:37] ppdet.engine INFO: Epoch: [102] [120/732] learning_rate: 0.143541 loss_vfl: 1.070846 loss_bbox: 0.600103 loss_dfl: 0.486239 loss: 2.177036 eta: 1 day, 21:31:04 batch_cost: 1.1589 data_cost: 0.0095 ips: 34.5150 images/s
[07/27 15:27:05] ppdet.engine INFO: Epoch: [102] [140/732] learning_rate: 0.143514 loss_vfl: 1.087467 loss_bbox: 0.563629 loss_dfl: 0.461831 loss: 2.110800 eta: 1 day, 21:30:41 batch_cost: 1.1073 data_cost: 0.0119 ips: 36.1245 images/s
[07/27 15:27:33] ppdet.engine INFO: Epoch: [102] [160/732] learning_rate: 0.143487 loss_vfl: 1.079339 loss_bbox: 0.574724 loss_dfl: 0.468646 loss: 2.125602 eta: 1 day, 21:30:21 batch_cost: 1.2042 data_cost: 0.0058 ips: 33.2174 images/s
[07/27 15:27:58] ppdet.engine INFO: Epoch: [102] [180/732] learning_rate: 0.143460 loss_vfl: 1.157540 loss_bbox: 0.620549 loss_dfl: 0.504376 loss: 2.257579 eta: 1 day, 21:29:55 batch_cost: 1.0321 data_cost: 0.0049 ips: 38.7573 images/s
[07/27 15:28:24] ppdet.engine INFO: Epoch: [102] [200/732] learning_rate: 0.143433 loss_vfl: 1.086557 loss_bbox: 0.576927 loss_dfl: 0.470270 loss: 2.137256 eta: 1 day, 21:29:31 batch_cost: 1.1180 data_cost: 0.0032 ips: 35.7777 images/s
[07/27 15:28:51] ppdet.engine INFO: Epoch: [102] [220/732] learning_rate: 0.143406 loss_vfl: 1.095019 loss_bbox: 0.581624 loss_dfl: 0.482901 loss: 2.183960 eta: 1 day, 21:29:07 batch_cost: 1.0834 data_cost: 0.0060 ips: 36.9218 images/s
[07/27 15:29:18] ppdet.engine INFO: Epoch: [102] [240/732] learning_rate: 0.143378 loss_vfl: 1.124081 loss_bbox: 0.604130 loss_dfl: 0.482487 loss: 2.197477 eta: 1 day, 21:28:42 batch_cost: 1.0640 data_cost: 0.0048 ips: 37.5934 images/s
[07/27 15:29:45] ppdet.engine INFO: Epoch: [102] [260/732] learning_rate: 0.143351 loss_vfl: 1.113289 loss_bbox: 0.561734 loss_dfl: 0.475900 loss: 2.177889 eta: 1 day, 21:28:18 batch_cost: 1.1082 data_cost: 0.0067 ips: 36.0943 images/s
[07/27 15:30:11] ppdet.engine INFO: Epoch: [102] [280/732] learning_rate: 0.143324 loss_vfl: 1.141292 loss_bbox: 0.603715 loss_dfl: 0.500138 loss: 2.261755 eta: 1 day, 21:27:54 batch_cost: 1.1019 data_cost: 0.0116 ips: 36.3023 images/s
[07/27 15:30:38] ppdet.engine INFO: Epoch: [102] [300/732] learning_rate: 0.143297 loss_vfl: 1.094835 loss_bbox: 0.600353 loss_dfl: 0.478624 loss: 2.157580 eta: 1 day, 21:27:30 batch_cost: 1.0857 data_cost: 0.0042 ips: 36.8440 images/s
[07/27 15:31:04] ppdet.engine INFO: Epoch: [102] [320/732] learning_rate: 0.143269 loss_vfl: 1.110523 loss_bbox: 0.571287 loss_dfl: 0.480209 loss: 2.136238 eta: 1 day, 21:27:04 batch_cost: 1.0551 data_cost: 0.0093 ips: 37.9102 images/s
[07/27 15:31:29] ppdet.engine INFO: Epoch: [102] [340/732] learning_rate: 0.143242 loss_vfl: 1.117610 loss_bbox: 0.594622 loss_dfl: 0.488783 loss: 2.202280 eta: 1 day, 21:26:38 batch_cost: 1.0394 data_cost: 0.0070 ips: 38.4832 images/s
[07/27 15:31:55] ppdet.engine INFO: Epoch: [102] [360/732] learning_rate: 0.143215 loss_vfl: 1.102638 loss_bbox: 0.562126 loss_dfl: 0.465863 loss: 2.129762 eta: 1 day, 21:26:13 batch_cost: 1.0571 data_cost: 0.0042 ips: 37.8384 images/s
[07/27 15:32:21] ppdet.engine INFO: Epoch: [102] [380/732] learning_rate: 0.143188 loss_vfl: 1.103005 loss_bbox: 0.588361 loss_dfl: 0.480840 loss: 2.185493 eta: 1 day, 21:25:46 batch_cost: 1.0234 data_cost: 0.0081 ips: 39.0863 images/s
[07/27 15:32:46] ppdet.engine INFO: Epoch: [102] [400/732] learning_rate: 0.143161 loss_vfl: 1.159264 loss_bbox: 0.609029 loss_dfl: 0.498815 loss: 2.261225 eta: 1 day, 21:25:21 batch_cost: 1.0599 data_cost: 0.0031 ips: 37.7394 images/s
[07/27 15:33:13] ppdet.engine INFO: Epoch: [102] [420/732] learning_rate: 0.143133 loss_vfl: 1.068548 loss_bbox: 0.572642 loss_dfl: 0.465079 loss: 2.090189 eta: 1 day, 21:24:58 batch_cost: 1.1446 data_cost: 0.0074 ips: 34.9477 images/s
[07/27 15:33:40] ppdet.engine INFO: Epoch: [102] [440/732] learning_rate: 0.143106 loss_vfl: 1.068714 loss_bbox: 0.572547 loss_dfl: 0.468456 loss: 2.113389 eta: 1 day, 21:24:36 batch_cost: 1.1228 data_cost: 0.0083 ips: 35.6258 images/s
[07/27 15:34:06] ppdet.engine INFO: Epoch: [102] [460/732] learning_rate: 0.143079 loss_vfl: 1.040341 loss_bbox: 0.550127 loss_dfl: 0.448200 loss: 2.055657 eta: 1 day, 21:24:09 batch_cost: 1.0330 data_cost: 0.0112 ips: 38.7235 images/s
[07/27 15:34:32] ppdet.engine INFO: Epoch: [102] [480/732] learning_rate: 0.143052 loss_vfl: 1.133927 loss_bbox: 0.589684 loss_dfl: 0.476151 loss: 2.196318 eta: 1 day, 21:23:44 batch_cost: 1.0767 data_cost: 0.0120 ips: 37.1522 images/s
[07/27 15:34:59] ppdet.engine INFO: Epoch: [102] [500/732] learning_rate: 0.143024 loss_vfl: 1.117457 loss_bbox: 0.579892 loss_dfl: 0.482603 loss: 2.173404 eta: 1 day, 21:23:21 batch_cost: 1.1015 data_cost: 0.0114 ips: 36.3151 images/s
[07/27 15:35:25] ppdet.engine INFO: Epoch: [102] [520/732] learning_rate: 0.142997 loss_vfl: 1.159412 loss_bbox: 0.596676 loss_dfl: 0.494589 loss: 2.255158 eta: 1 day, 21:22:54 batch_cost: 1.0347 data_cost: 0.0066 ips: 38.6595 images/s
[07/27 15:35:53] ppdet.engine INFO: Epoch: [102] [540/732] learning_rate: 0.142970 loss_vfl: 1.096691 loss_bbox: 0.593493 loss_dfl: 0.472947 loss: 2.178300 eta: 1 day, 21:22:35 batch_cost: 1.2090 data_cost: 0.0054 ips: 33.0840 images/s
[07/27 15:36:18] ppdet.engine INFO: Epoch: [102] [560/732] learning_rate: 0.142943 loss_vfl: 1.095100 loss_bbox: 0.561666 loss_dfl: 0.455731 loss: 2.101715 eta: 1 day, 21:22:11 batch_cost: 1.1037 data_cost: 0.0033 ips: 36.2411 images/s
[07/27 15:36:44] ppdet.engine INFO: Epoch: [102] [580/732] learning_rate: 0.142915 loss_vfl: 1.113744 loss_bbox: 0.604854 loss_dfl: 0.488992 loss: 2.178914 eta: 1 day, 21:21:47 batch_cost: 1.1031 data_cost: 0.0064 ips: 36.2626 images/s
[07/27 15:37:07] ppdet.engine INFO: Epoch: [102] [600/732] learning_rate: 0.142888 loss_vfl: 1.141636 loss_bbox: 0.604048 loss_dfl: 0.489169 loss: 2.234067 eta: 1 day, 21:21:17 batch_cost: 0.9412 data_cost: 0.0048 ips: 42.4996 images/s
[07/27 15:37:35] ppdet.engine INFO: Epoch: [102] [620/732] learning_rate: 0.142861 loss_vfl: 1.137146 loss_bbox: 0.575395 loss_dfl: 0.478412 loss: 2.178408 eta: 1 day, 21:20:55 batch_cost: 1.1425 data_cost: 0.0036 ips: 35.0114 images/s
[07/27 15:38:00] ppdet.engine INFO: Epoch: [102] [640/732] learning_rate: 0.142834 loss_vfl: 1.098580 loss_bbox: 0.579369 loss_dfl: 0.473845 loss: 2.141038 eta: 1 day, 21:20:29 batch_cost: 1.0281 data_cost: 0.0091 ips: 38.9078 images/s
[07/27 15:38:27] ppdet.engine INFO: Epoch: [102] [660/732] learning_rate: 0.142806 loss_vfl: 1.087581 loss_bbox: 0.573174 loss_dfl: 0.466872 loss: 2.102503 eta: 1 day, 21:20:04 batch_cost: 1.0876 data_cost: 0.0102 ips: 36.7777 images/s
[07/27 15:38:51] ppdet.engine INFO: Epoch: [102] [680/732] learning_rate: 0.142779 loss_vfl: 1.068105 loss_bbox: 0.548464 loss_dfl: 0.453013 loss: 2.074933 eta: 1 day, 21:19:35 batch_cost: 0.9638 data_cost: 0.0058 ips: 41.5023 images/s
[07/27 15:39:19] ppdet.engine INFO: Epoch: [102] [700/732] learning_rate: 0.142752 loss_vfl: 1.133871 loss_bbox: 0.606241 loss_dfl: 0.491232 loss: 2.211979 eta: 1 day, 21:19:14 batch_cost: 1.1576 data_cost: 0.0159 ips: 34.5536 images/s
[07/27 15:39:46] ppdet.engine INFO: Epoch: [102] [720/732] learning_rate: 0.142724 loss_vfl: 1.119050 loss_bbox: 0.564530 loss_dfl: 0.472806 loss: 2.144549 eta: 1 day, 21:18:48 batch_cost: 1.0579 data_cost: 0.0041 ips: 37.8107 images/s
[07/27 15:40:07] ppdet.engine INFO: Epoch: [103] [  0/732] learning_rate: 0.142708 loss_vfl: 1.071771 loss_bbox: 0.575103 loss_dfl: 0.478166 loss: 2.124401 eta: 1 day, 21:18:43 batch_cost: 1.2516 data_cost: 0.5601 ips: 31.9582 images/s
[07/27 15:40:35] ppdet.engine INFO: Epoch: [103] [ 20/732] learning_rate: 0.142681 loss_vfl: 1.080563 loss_bbox: 0.579708 loss_dfl: 0.470814 loss: 2.137646 eta: 1 day, 21:18:21 batch_cost: 1.1272 data_cost: 0.0093 ips: 35.4854 images/s
[07/27 15:41:02] ppdet.engine INFO: Epoch: [103] [ 40/732] learning_rate: 0.142654 loss_vfl: 1.085541 loss_bbox: 0.552867 loss_dfl: 0.453989 loss: 2.088143 eta: 1 day, 21:17:53 batch_cost: 0.9959 data_cost: 0.0096 ips: 40.1661 images/s
[07/27 15:41:28] ppdet.engine INFO: Epoch: [103] [ 60/732] learning_rate: 0.142626 loss_vfl: 1.112858 loss_bbox: 0.577970 loss_dfl: 0.475557 loss: 2.187588 eta: 1 day, 21:17:28 batch_cost: 1.0617 data_cost: 0.0080 ips: 37.6764 images/s
[07/27 15:41:54] ppdet.engine INFO: Epoch: [103] [ 80/732] learning_rate: 0.142599 loss_vfl: 1.110909 loss_bbox: 0.566396 loss_dfl: 0.482946 loss: 2.189703 eta: 1 day, 21:17:00 batch_cost: 1.0048 data_cost: 0.0050 ips: 39.8082 images/s
[07/27 15:42:21] ppdet.engine INFO: Epoch: [103] [100/732] learning_rate: 0.142572 loss_vfl: 1.120299 loss_bbox: 0.562111 loss_dfl: 0.473433 loss: 2.137623 eta: 1 day, 21:16:35 batch_cost: 1.0566 data_cost: 0.0106 ips: 37.8589 images/s
[07/27 15:42:47] ppdet.engine INFO: Epoch: [103] [120/732] learning_rate: 0.142544 loss_vfl: 1.104239 loss_bbox: 0.579482 loss_dfl: 0.482083 loss: 2.189967 eta: 1 day, 21:16:12 batch_cost: 1.1212 data_cost: 0.0017 ips: 35.6775 images/s
[07/27 15:43:16] ppdet.engine INFO: Epoch: [103] [140/732] learning_rate: 0.142517 loss_vfl: 1.134095 loss_bbox: 0.590982 loss_dfl: 0.487546 loss: 2.213079 eta: 1 day, 21:15:50 batch_cost: 1.1546 data_cost: 0.0104 ips: 34.6455 images/s
[07/27 15:43:43] ppdet.engine INFO: Epoch: [103] [160/732] learning_rate: 0.142490 loss_vfl: 1.121063 loss_bbox: 0.580016 loss_dfl: 0.479532 loss: 2.165136 eta: 1 day, 21:15:24 batch_cost: 1.0554 data_cost: 0.0065 ips: 37.8987 images/s
[07/27 15:44:08] ppdet.engine INFO: Epoch: [103] [180/732] learning_rate: 0.142462 loss_vfl: 1.079488 loss_bbox: 0.558296 loss_dfl: 0.455649 loss: 2.074285 eta: 1 day, 21:14:58 batch_cost: 1.0281 data_cost: 0.0072 ips: 38.9082 images/s
[07/27 15:44:35] ppdet.engine INFO: Epoch: [103] [200/732] learning_rate: 0.142435 loss_vfl: 1.100732 loss_bbox: 0.590409 loss_dfl: 0.480465 loss: 2.151766 eta: 1 day, 21:14:34 batch_cost: 1.0981 data_cost: 0.0025 ips: 36.4251 images/s
[07/27 15:45:03] ppdet.engine INFO: Epoch: [103] [220/732] learning_rate: 0.142408 loss_vfl: 1.095335 loss_bbox: 0.561946 loss_dfl: 0.462470 loss: 2.116355 eta: 1 day, 21:14:13 batch_cost: 1.1639 data_cost: 0.0045 ips: 34.3680 images/s
[07/27 15:45:31] ppdet.engine INFO: Epoch: [103] [240/732] learning_rate: 0.142380 loss_vfl: 1.085707 loss_bbox: 0.585410 loss_dfl: 0.476852 loss: 2.159258 eta: 1 day, 21:13:53 batch_cost: 1.2075 data_cost: 0.0047 ips: 33.1259 images/s
[07/27 15:45:57] ppdet.engine INFO: Epoch: [103] [260/732] learning_rate: 0.142353 loss_vfl: 1.098336 loss_bbox: 0.584180 loss_dfl: 0.467772 loss: 2.155529 eta: 1 day, 21:13:26 batch_cost: 1.0248 data_cost: 0.0055 ips: 39.0320 images/s
[07/27 15:46:24] ppdet.engine INFO: Epoch: [103] [280/732] learning_rate: 0.142326 loss_vfl: 1.125693 loss_bbox: 0.602445 loss_dfl: 0.492789 loss: 2.205556 eta: 1 day, 21:13:04 batch_cost: 1.1478 data_cost: 0.0054 ips: 34.8478 images/s
[07/27 15:46:52] ppdet.engine INFO: Epoch: [103] [300/732] learning_rate: 0.142298 loss_vfl: 1.093404 loss_bbox: 0.587187 loss_dfl: 0.478701 loss: 2.160669 eta: 1 day, 21:12:43 batch_cost: 1.1744 data_cost: 0.0070 ips: 34.0601 images/s
[07/27 15:47:16] ppdet.engine INFO: Epoch: [103] [320/732] learning_rate: 0.142271 loss_vfl: 1.117038 loss_bbox: 0.576012 loss_dfl: 0.470587 loss: 2.155599 eta: 1 day, 21:12:15 batch_cost: 0.9784 data_cost: 0.0033 ips: 40.8850 images/s
[07/27 15:47:42] ppdet.engine INFO: Epoch: [103] [340/732] learning_rate: 0.142244 loss_vfl: 1.084489 loss_bbox: 0.568824 loss_dfl: 0.468485 loss: 2.126505 eta: 1 day, 21:11:48 batch_cost: 1.0315 data_cost: 0.0055 ips: 38.7795 images/s
[07/27 15:48:09] ppdet.engine INFO: Epoch: [103] [360/732] learning_rate: 0.142216 loss_vfl: 1.100583 loss_bbox: 0.586925 loss_dfl: 0.472568 loss: 2.163350 eta: 1 day, 21:11:27 batch_cost: 1.1701 data_cost: 0.2244 ips: 34.1862 images/s
[07/27 15:48:35] ppdet.engine INFO: Epoch: [103] [380/732] learning_rate: 0.142189 loss_vfl: 1.110180 loss_bbox: 0.580834 loss_dfl: 0.471561 loss: 2.141515 eta: 1 day, 21:11:03 batch_cost: 1.0979 data_cost: 0.0063 ips: 36.4319 images/s
[07/27 15:49:00] ppdet.engine INFO: Epoch: [103] [400/732] learning_rate: 0.142162 loss_vfl: 1.115842 loss_bbox: 0.567000 loss_dfl: 0.476673 loss: 2.175513 eta: 1 day, 21:10:37 batch_cost: 1.0231 data_cost: 0.0096 ips: 39.0951 images/s
[07/27 15:49:27] ppdet.engine INFO: Epoch: [103] [420/732] learning_rate: 0.142134 loss_vfl: 1.109213 loss_bbox: 0.581916 loss_dfl: 0.477134 loss: 2.177906 eta: 1 day, 21:10:13 batch_cost: 1.0928 data_cost: 0.0110 ips: 36.6027 images/s
[07/27 15:49:54] ppdet.engine INFO: Epoch: [103] [440/732] learning_rate: 0.142107 loss_vfl: 1.145855 loss_bbox: 0.600706 loss_dfl: 0.496911 loss: 2.243758 eta: 1 day, 21:09:51 batch_cost: 1.1450 data_cost: 0.0871 ips: 34.9341 images/s
[07/27 15:50:19] ppdet.engine INFO: Epoch: [103] [460/732] learning_rate: 0.142080 loss_vfl: 1.104413 loss_bbox: 0.581611 loss_dfl: 0.474051 loss: 2.152118 eta: 1 day, 21:09:25 batch_cost: 1.0401 data_cost: 0.0068 ips: 38.4563 images/s
[07/27 15:50:46] ppdet.engine INFO: Epoch: [103] [480/732] learning_rate: 0.142052 loss_vfl: 1.125107 loss_bbox: 0.572843 loss_dfl: 0.473301 loss: 2.182105 eta: 1 day, 21:09:02 batch_cost: 1.1282 data_cost: 0.0052 ips: 35.4543 images/s
[07/27 15:51:09] ppdet.engine INFO: Epoch: [103] [500/732] learning_rate: 0.142025 loss_vfl: 1.095606 loss_bbox: 0.601337 loss_dfl: 0.485207 loss: 2.177097 eta: 1 day, 21:08:32 batch_cost: 0.9427 data_cost: 0.0073 ips: 42.4323 images/s
[07/27 15:51:36] ppdet.engine INFO: Epoch: [103] [520/732] learning_rate: 0.141997 loss_vfl: 1.059015 loss_bbox: 0.559913 loss_dfl: 0.468353 loss: 2.100622 eta: 1 day, 21:08:08 batch_cost: 1.0870 data_cost: 0.0093 ips: 36.7986 images/s
[07/27 15:52:02] ppdet.engine INFO: Epoch: [103] [540/732] learning_rate: 0.141970 loss_vfl: 1.076799 loss_bbox: 0.576724 loss_dfl: 0.475721 loss: 2.117881 eta: 1 day, 21:07:42 batch_cost: 1.0444 data_cost: 0.0046 ips: 38.2996 images/s
[07/27 15:52:27] ppdet.engine INFO: Epoch: [103] [560/732] learning_rate: 0.141943 loss_vfl: 1.129432 loss_bbox: 0.581553 loss_dfl: 0.483466 loss: 2.195116 eta: 1 day, 21:07:15 batch_cost: 1.0304 data_cost: 0.0070 ips: 38.8190 images/s
[07/27 15:52:53] ppdet.engine INFO: Epoch: [103] [580/732] learning_rate: 0.141915 loss_vfl: 1.134432 loss_bbox: 0.598084 loss_dfl: 0.492267 loss: 2.240882 eta: 1 day, 21:06:51 batch_cost: 1.0833 data_cost: 0.0194 ips: 36.9246 images/s
[07/27 15:53:19] ppdet.engine INFO: Epoch: [103] [600/732] learning_rate: 0.141888 loss_vfl: 1.081850 loss_bbox: 0.562095 loss_dfl: 0.463531 loss: 2.112354 eta: 1 day, 21:06:24 batch_cost: 1.0049 data_cost: 0.0085 ips: 39.8030 images/s
[07/27 15:53:46] ppdet.engine INFO: Epoch: [103] [620/732] learning_rate: 0.141860 loss_vfl: 1.082538 loss_bbox: 0.560516 loss_dfl: 0.466436 loss: 2.087673 eta: 1 day, 21:05:57 batch_cost: 1.0246 data_cost: 0.0071 ips: 39.0387 images/s
[07/27 15:54:12] ppdet.engine INFO: Epoch: [103] [640/732] learning_rate: 0.141833 loss_vfl: 1.081063 loss_bbox: 0.561786 loss_dfl: 0.470952 loss: 2.112693 eta: 1 day, 21:05:31 batch_cost: 1.0452 data_cost: 0.0081 ips: 38.2691 images/s
[07/27 15:54:39] ppdet.engine INFO: Epoch: [103] [660/732] learning_rate: 0.141806 loss_vfl: 1.098153 loss_bbox: 0.563040 loss_dfl: 0.467225 loss: 2.127646 eta: 1 day, 21:05:08 batch_cost: 1.1210 data_cost: 0.0095 ips: 35.6822 images/s
[07/27 15:55:04] ppdet.engine INFO: Epoch: [103] [680/732] learning_rate: 0.141778 loss_vfl: 1.114291 loss_bbox: 0.575722 loss_dfl: 0.474644 loss: 2.176667 eta: 1 day, 21:04:39 batch_cost: 0.9447 data_cost: 0.0076 ips: 42.3406 images/s
[07/27 15:55:31] ppdet.engine INFO: Epoch: [103] [700/732] learning_rate: 0.141751 loss_vfl: 1.153952 loss_bbox: 0.623089 loss_dfl: 0.508335 loss: 2.298728 eta: 1 day, 21:04:14 batch_cost: 1.0714 data_cost: 0.0168 ips: 37.3353 images/s
[07/27 15:55:59] ppdet.engine INFO: Epoch: [103] [720/732] learning_rate: 0.141723 loss_vfl: 1.073530 loss_bbox: 0.549159 loss_dfl: 0.464599 loss: 2.086905 eta: 1 day, 21:03:51 batch_cost: 1.1345 data_cost: 0.0043 ips: 35.2591 images/s
[07/27 15:56:22] ppdet.engine INFO: Epoch: [104] [  0/732] learning_rate: 0.141707 loss_vfl: 1.104489 loss_bbox: 0.553456 loss_dfl: 0.466396 loss: 2.146474 eta: 1 day, 21:03:50 batch_cost: 1.4399 data_cost: 0.5278 ips: 27.7805 images/s
[07/27 15:56:49] ppdet.engine INFO: Epoch: [104] [ 20/732] learning_rate: 0.141680 loss_vfl: 1.081517 loss_bbox: 0.566018 loss_dfl: 0.462823 loss: 2.119808 eta: 1 day, 21:03:29 batch_cost: 1.1756 data_cost: 0.0052 ips: 34.0250 images/s
[07/27 15:57:19] ppdet.engine INFO: Epoch: [104] [ 40/732] learning_rate: 0.141652 loss_vfl: 1.091176 loss_bbox: 0.564297 loss_dfl: 0.469801 loss: 2.121982 eta: 1 day, 21:03:11 batch_cost: 1.2439 data_cost: 0.0089 ips: 32.1559 images/s
[07/27 15:57:45] ppdet.engine INFO: Epoch: [104] [ 60/732] learning_rate: 0.141625 loss_vfl: 1.119182 loss_bbox: 0.583500 loss_dfl: 0.480374 loss: 2.196202 eta: 1 day, 21:02:46 batch_cost: 1.0721 data_cost: 0.0103 ips: 37.3093 images/s
[07/27 15:58:12] ppdet.engine INFO: Epoch: [104] [ 80/732] learning_rate: 0.141597 loss_vfl: 1.077583 loss_bbox: 0.562164 loss_dfl: 0.466286 loss: 2.106009 eta: 1 day, 21:02:23 batch_cost: 1.1224 data_cost: 0.0105 ips: 35.6380 images/s
[07/27 15:58:35] ppdet.engine INFO: Epoch: [104] [100/732] learning_rate: 0.141570 loss_vfl: 1.089865 loss_bbox: 0.592645 loss_dfl: 0.481722 loss: 2.187685 eta: 1 day, 21:01:53 batch_cost: 0.9461 data_cost: 0.0050 ips: 42.2775 images/s
[07/27 15:59:01] ppdet.engine INFO: Epoch: [104] [120/732] learning_rate: 0.141542 loss_vfl: 1.118315 loss_bbox: 0.594450 loss_dfl: 0.486389 loss: 2.197541 eta: 1 day, 21:01:28 batch_cost: 1.0458 data_cost: 0.0022 ips: 38.2483 images/s
[07/27 15:59:27] ppdet.engine INFO: Epoch: [104] [140/732] learning_rate: 0.141515 loss_vfl: 1.106831 loss_bbox: 0.576423 loss_dfl: 0.471002 loss: 2.142453 eta: 1 day, 21:01:00 batch_cost: 1.0111 data_cost: 0.0038 ips: 39.5592 images/s
[07/27 15:59:54] ppdet.engine INFO: Epoch: [104] [160/732] learning_rate: 0.141488 loss_vfl: 1.098589 loss_bbox: 0.569800 loss_dfl: 0.467429 loss: 2.166947 eta: 1 day, 21:00:35 batch_cost: 1.0663 data_cost: 0.0962 ips: 37.5136 images/s
[07/27 16:00:21] ppdet.engine INFO: Epoch: [104] [180/732] learning_rate: 0.141460 loss_vfl: 1.103995 loss_bbox: 0.578335 loss_dfl: 0.472173 loss: 2.144102 eta: 1 day, 21:00:11 batch_cost: 1.0746 data_cost: 0.0092 ips: 37.2239 images/s
[07/27 16:00:47] ppdet.engine INFO: Epoch: [104] [200/732] learning_rate: 0.141433 loss_vfl: 1.120279 loss_bbox: 0.576822 loss_dfl: 0.475429 loss: 2.145408 eta: 1 day, 20:59:46 batch_cost: 1.0826 data_cost: 0.0064 ips: 36.9486 images/s
[07/27 16:01:14] ppdet.engine INFO: Epoch: [104] [220/732] learning_rate: 0.141405 loss_vfl: 1.131521 loss_bbox: 0.594767 loss_dfl: 0.484110 loss: 2.214459 eta: 1 day, 20:59:21 batch_cost: 1.0675 data_cost: 0.0043 ips: 37.4711 images/s
[07/27 16:01:41] ppdet.engine INFO: Epoch: [104] [240/732] learning_rate: 0.141378 loss_vfl: 1.115237 loss_bbox: 0.574317 loss_dfl: 0.480761 loss: 2.177957 eta: 1 day, 20:58:56 batch_cost: 1.0697 data_cost: 0.0193 ips: 37.3928 images/s
[07/27 16:02:08] ppdet.engine INFO: Epoch: [104] [260/732] learning_rate: 0.141350 loss_vfl: 1.099505 loss_bbox: 0.568870 loss_dfl: 0.465302 loss: 2.158939 eta: 1 day, 20:58:29 batch_cost: 0.9963 data_cost: 0.0070 ips: 40.1474 images/s
[07/27 16:02:33] ppdet.engine INFO: Epoch: [104] [280/732] learning_rate: 0.141323 loss_vfl: 1.104500 loss_bbox: 0.596297 loss_dfl: 0.480553 loss: 2.175426 eta: 1 day, 20:58:00 batch_cost: 0.9698 data_cost: 0.0081 ips: 41.2443 images/s
[07/27 16:03:00] ppdet.engine INFO: Epoch: [104] [300/732] learning_rate: 0.141295 loss_vfl: 1.122647 loss_bbox: 0.565799 loss_dfl: 0.470002 loss: 2.159249 eta: 1 day, 20:57:32 batch_cost: 0.9774 data_cost: 0.0258 ips: 40.9253 images/s
[07/27 16:03:25] ppdet.engine INFO: Epoch: [104] [320/732] learning_rate: 0.141268 loss_vfl: 1.140511 loss_bbox: 0.570186 loss_dfl: 0.470153 loss: 2.186621 eta: 1 day, 20:57:06 batch_cost: 1.0420 data_cost: 0.0114 ips: 38.3861 images/s
[07/27 16:03:54] ppdet.engine INFO: Epoch: [104] [340/732] learning_rate: 0.141240 loss_vfl: 1.091461 loss_bbox: 0.577678 loss_dfl: 0.481643 loss: 2.167174 eta: 1 day, 20:56:43 batch_cost: 1.1140 data_cost: 0.0055 ips: 35.9058 images/s
[07/27 16:04:20] ppdet.engine INFO: Epoch: [104] [360/732] learning_rate: 0.141213 loss_vfl: 1.123279 loss_bbox: 0.577098 loss_dfl: 0.479590 loss: 2.170113 eta: 1 day, 20:56:20 batch_cost: 1.1317 data_cost: 0.0112 ips: 35.3452 images/s
[07/27 16:04:47] ppdet.engine INFO: Epoch: [104] [380/732] learning_rate: 0.141185 loss_vfl: 1.101410 loss_bbox: 0.579329 loss_dfl: 0.486406 loss: 2.184499 eta: 1 day, 20:55:57 batch_cost: 1.1175 data_cost: 0.0050 ips: 35.7930 images/s
[07/27 16:05:13] ppdet.engine INFO: Epoch: [104] [400/732] learning_rate: 0.141158 loss_vfl: 1.103595 loss_bbox: 0.584767 loss_dfl: 0.471769 loss: 2.147309 eta: 1 day, 20:55:32 batch_cost: 1.0550 data_cost: 0.0115 ips: 37.9143 images/s
[07/27 16:05:42] ppdet.engine INFO: Epoch: [104] [420/732] learning_rate: 0.141130 loss_vfl: 1.121377 loss_bbox: 0.582639 loss_dfl: 0.476239 loss: 2.191906 eta: 1 day, 20:55:09 batch_cost: 1.1414 data_cost: 0.0057 ips: 35.0441 images/s
[07/27 16:06:07] ppdet.engine INFO: Epoch: [104] [440/732] learning_rate: 0.141103 loss_vfl: 1.126229 loss_bbox: 0.587446 loss_dfl: 0.482973 loss: 2.203800 eta: 1 day, 20:54:42 batch_cost: 1.0129 data_cost: 0.0068 ips: 39.4897 images/s
[07/27 16:06:32] ppdet.engine INFO: Epoch: [104] [460/732] learning_rate: 0.141075 loss_vfl: 1.108694 loss_bbox: 0.555575 loss_dfl: 0.469386 loss: 2.108759 eta: 1 day, 20:54:13 batch_cost: 0.9499 data_cost: 0.0072 ips: 42.1112 images/s
[07/27 16:07:01] ppdet.engine INFO: Epoch: [104] [480/732] learning_rate: 0.141048 loss_vfl: 1.088762 loss_bbox: 0.563517 loss_dfl: 0.458443 loss: 2.103167 eta: 1 day, 20:53:48 batch_cost: 1.0678 data_cost: 0.0134 ips: 37.4611 images/s
[07/27 16:07:28] ppdet.engine INFO: Epoch: [104] [500/732] learning_rate: 0.141020 loss_vfl: 1.103871 loss_bbox: 0.578761 loss_dfl: 0.478273 loss: 2.164790 eta: 1 day, 20:53:24 batch_cost: 1.0997 data_cost: 0.0226 ips: 36.3737 images/s
[07/27 16:07:53] ppdet.engine INFO: Epoch: [104] [520/732] learning_rate: 0.140993 loss_vfl: 1.114233 loss_bbox: 0.579118 loss_dfl: 0.479216 loss: 2.159457 eta: 1 day, 20:52:56 batch_cost: 0.9818 data_cost: 0.0059 ips: 40.7435 images/s
[07/27 16:08:17] ppdet.engine INFO: Epoch: [104] [540/732] learning_rate: 0.140965 loss_vfl: 1.120254 loss_bbox: 0.583529 loss_dfl: 0.480120 loss: 2.174498 eta: 1 day, 20:52:23 batch_cost: 0.8526 data_cost: 0.0076 ips: 46.9151 images/s
[07/27 16:08:45] ppdet.engine INFO: Epoch: [104] [560/732] learning_rate: 0.140938 loss_vfl: 1.106129 loss_bbox: 0.583189 loss_dfl: 0.473130 loss: 2.142622 eta: 1 day, 20:52:00 batch_cost: 1.1129 data_cost: 0.0200 ips: 35.9431 images/s
[07/27 16:09:11] ppdet.engine INFO: Epoch: [104] [580/732] learning_rate: 0.140910 loss_vfl: 1.135395 loss_bbox: 0.595695 loss_dfl: 0.487799 loss: 2.212542 eta: 1 day, 20:51:33 batch_cost: 1.0232 data_cost: 0.0049 ips: 39.0917 images/s
[07/27 16:09:38] ppdet.engine INFO: Epoch: [104] [600/732] learning_rate: 0.140883 loss_vfl: 1.116173 loss_bbox: 0.577112 loss_dfl: 0.475919 loss: 2.180956 eta: 1 day, 20:51:09 batch_cost: 1.0881 data_cost: 0.0053 ips: 36.7621 images/s
[07/27 16:10:03] ppdet.engine INFO: Epoch: [104] [620/732] learning_rate: 0.140855 loss_vfl: 1.105250 loss_bbox: 0.581255 loss_dfl: 0.475868 loss: 2.154374 eta: 1 day, 20:50:39 batch_cost: 0.9224 data_cost: 0.0047 ips: 43.3636 images/s
[07/27 16:10:28] ppdet.engine INFO: Epoch: [104] [640/732] learning_rate: 0.140828 loss_vfl: 1.081549 loss_bbox: 0.561249 loss_dfl: 0.461819 loss: 2.101887 eta: 1 day, 20:50:12 batch_cost: 1.0176 data_cost: 0.0093 ips: 39.3090 images/s
[07/27 16:10:55] ppdet.engine INFO: Epoch: [104] [660/732] learning_rate: 0.140800 loss_vfl: 1.090872 loss_bbox: 0.568437 loss_dfl: 0.465562 loss: 2.098839 eta: 1 day, 20:49:44 batch_cost: 0.9907 data_cost: 0.0149 ips: 40.3748 images/s
[07/27 16:11:21] ppdet.engine INFO: Epoch: [104] [680/732] learning_rate: 0.140773 loss_vfl: 1.119865 loss_bbox: 0.573574 loss_dfl: 0.480447 loss: 2.186076 eta: 1 day, 20:49:15 batch_cost: 0.9597 data_cost: 0.0066 ips: 41.6784 images/s
[07/27 16:11:47] ppdet.engine INFO: Epoch: [104] [700/732] learning_rate: 0.140745 loss_vfl: 1.105070 loss_bbox: 0.591399 loss_dfl: 0.472316 loss: 2.137129 eta: 1 day, 20:48:50 batch_cost: 1.0518 data_cost: 0.0054 ips: 38.0309 images/s
[07/27 16:12:12] ppdet.engine INFO: Epoch: [104] [720/732] learning_rate: 0.140718 loss_vfl: 1.109227 loss_bbox: 0.588742 loss_dfl: 0.482777 loss: 2.195845 eta: 1 day, 20:48:23 batch_cost: 1.0157 data_cost: 0.0034 ips: 39.3832 images/s
[07/27 16:12:33] ppdet.engine INFO: Epoch: [105] [  0/732] learning_rate: 0.140701 loss_vfl: 1.109227 loss_bbox: 0.585236 loss_dfl: 0.479897 loss: 2.197642 eta: 1 day, 20:48:17 batch_cost: 1.2988 data_cost: 0.4976 ips: 30.7978 images/s
[07/27 16:13:02] ppdet.engine INFO: Epoch: [105] [ 20/732] learning_rate: 0.140674 loss_vfl: 1.083771 loss_bbox: 0.572461 loss_dfl: 0.472390 loss: 2.144996 eta: 1 day, 20:47:57 batch_cost: 1.2079 data_cost: 0.0056 ips: 33.1157 images/s
[07/27 16:13:28] ppdet.engine INFO: Epoch: [105] [ 40/732] learning_rate: 0.140646 loss_vfl: 1.135202 loss_bbox: 0.588344 loss_dfl: 0.480492 loss: 2.178408 eta: 1 day, 20:47:30 batch_cost: 1.0079 data_cost: 0.0071 ips: 39.6882 images/s
[07/27 16:13:56] ppdet.engine INFO: Epoch: [105] [ 60/732] learning_rate: 0.140619 loss_vfl: 1.062422 loss_bbox: 0.551546 loss_dfl: 0.458442 loss: 2.066215 eta: 1 day, 20:47:09 batch_cost: 1.1567 data_cost: 0.0041 ips: 34.5798 images/s
[07/27 16:14:22] ppdet.engine INFO: Epoch: [105] [ 80/732] learning_rate: 0.140591 loss_vfl: 1.091428 loss_bbox: 0.556963 loss_dfl: 0.463602 loss: 2.104739 eta: 1 day, 20:46:43 batch_cost: 1.0349 data_cost: 0.0039 ips: 38.6508 images/s
[07/27 16:14:48] ppdet.engine INFO: Epoch: [105] [100/732] learning_rate: 0.140563 loss_vfl: 1.118021 loss_bbox: 0.594939 loss_dfl: 0.485603 loss: 2.217122 eta: 1 day, 20:46:16 batch_cost: 1.0212 data_cost: 0.0112 ips: 39.1679 images/s
[07/27 16:15:15] ppdet.engine INFO: Epoch: [105] [120/732] learning_rate: 0.140536 loss_vfl: 1.117067 loss_bbox: 0.597673 loss_dfl: 0.483625 loss: 2.201840 eta: 1 day, 20:45:53 batch_cost: 1.1125 data_cost: 0.0057 ips: 35.9563 images/s
[07/27 16:15:42] ppdet.engine INFO: Epoch: [105] [140/732] learning_rate: 0.140508 loss_vfl: 1.109105 loss_bbox: 0.584495 loss_dfl: 0.468694 loss: 2.151114 eta: 1 day, 20:45:26 batch_cost: 1.0216 data_cost: 0.0066 ips: 39.1527 images/s
[07/27 16:16:07] ppdet.engine INFO: Epoch: [105] [160/732] learning_rate: 0.140481 loss_vfl: 1.120754 loss_bbox: 0.592446 loss_dfl: 0.489001 loss: 2.200711 eta: 1 day, 20:45:00 batch_cost: 1.0356 data_cost: 0.0027 ips: 38.6252 images/s
[07/27 16:16:33] ppdet.engine INFO: Epoch: [105] [180/732] learning_rate: 0.140453 loss_vfl: 1.104445 loss_bbox: 0.563702 loss_dfl: 0.469450 loss: 2.136416 eta: 1 day, 20:44:33 batch_cost: 1.0101 data_cost: 0.0042 ips: 39.6010 images/s
[07/27 16:17:00] ppdet.engine INFO: Epoch: [105] [200/732] learning_rate: 0.140426 loss_vfl: 1.088014 loss_bbox: 0.575787 loss_dfl: 0.466949 loss: 2.150648 eta: 1 day, 20:44:06 batch_cost: 1.0105 data_cost: 0.0877 ips: 39.5830 images/s
[07/27 16:17:29] ppdet.engine INFO: Epoch: [105] [220/732] learning_rate: 0.140398 loss_vfl: 1.078803 loss_bbox: 0.560094 loss_dfl: 0.458064 loss: 2.098601 eta: 1 day, 20:43:44 batch_cost: 1.1351 data_cost: 0.0123 ips: 35.2404 images/s
[07/27 16:17:54] ppdet.engine INFO: Epoch: [105] [240/732] learning_rate: 0.140370 loss_vfl: 1.100887 loss_bbox: 0.578405 loss_dfl: 0.478812 loss: 2.183827 eta: 1 day, 20:43:17 batch_cost: 1.0224 data_cost: 0.0060 ips: 39.1237 images/s
[07/27 16:18:21] ppdet.engine INFO: Epoch: [105] [260/732] learning_rate: 0.140343 loss_vfl: 1.128911 loss_bbox: 0.593909 loss_dfl: 0.487261 loss: 2.209793 eta: 1 day, 20:42:51 batch_cost: 1.0507 data_cost: 0.0043 ips: 38.0685 images/s
[07/27 16:18:48] ppdet.engine INFO: Epoch: [105] [280/732] learning_rate: 0.140315 loss_vfl: 1.106936 loss_bbox: 0.581507 loss_dfl: 0.485900 loss: 2.196586 eta: 1 day, 20:42:23 batch_cost: 0.9842 data_cost: 0.0068 ips: 40.6407 images/s
[07/27 16:19:12] ppdet.engine INFO: Epoch: [105] [300/732] learning_rate: 0.140288 loss_vfl: 1.103414 loss_bbox: 0.579973 loss_dfl: 0.476934 loss: 2.159695 eta: 1 day, 20:41:56 batch_cost: 1.0116 data_cost: 0.0015 ips: 39.5433 images/s
[07/27 16:19:39] ppdet.engine INFO: Epoch: [105] [320/732] learning_rate: 0.140260 loss_vfl: 1.119251 loss_bbox: 0.576304 loss_dfl: 0.481769 loss: 2.166176 eta: 1 day, 20:41:34 batch_cost: 1.1306 data_cost: 0.0072 ips: 35.3795 images/s
[07/27 16:20:07] ppdet.engine INFO: Epoch: [105] [340/732] learning_rate: 0.140233 loss_vfl: 1.086927 loss_bbox: 0.552077 loss_dfl: 0.452357 loss: 2.076004 eta: 1 day, 20:41:14 batch_cost: 1.2027 data_cost: 0.0064 ips: 33.2579 images/s
[07/27 16:20:32] ppdet.engine INFO: Epoch: [105] [360/732] learning_rate: 0.140205 loss_vfl: 1.056461 loss_bbox: 0.542667 loss_dfl: 0.447716 loss: 2.039024 eta: 1 day, 20:40:47 batch_cost: 1.0163 data_cost: 0.0021 ips: 39.3585 images/s
[07/27 16:20:58] ppdet.engine INFO: Epoch: [105] [380/732] learning_rate: 0.140177 loss_vfl: 1.150998 loss_bbox: 0.598267 loss_dfl: 0.495065 loss: 2.253391 eta: 1 day, 20:40:20 batch_cost: 1.0070 data_cost: 0.0048 ips: 39.7224 images/s
[07/27 16:21:24] ppdet.engine INFO: Epoch: [105] [400/732] learning_rate: 0.140150 loss_vfl: 1.066726 loss_bbox: 0.562687 loss_dfl: 0.476573 loss: 2.136839 eta: 1 day, 20:39:54 batch_cost: 1.0362 data_cost: 0.0096 ips: 38.6036 images/s
[07/27 16:21:49] ppdet.engine INFO: Epoch: [105] [420/732] learning_rate: 0.140122 loss_vfl: 1.061434 loss_bbox: 0.562222 loss_dfl: 0.454532 loss: 2.084182 eta: 1 day, 20:39:26 batch_cost: 0.9799 data_cost: 0.0083 ips: 40.8215 images/s
[07/27 16:22:16] ppdet.engine INFO: Epoch: [105] [440/732] learning_rate: 0.140094 loss_vfl: 1.115086 loss_bbox: 0.573798 loss_dfl: 0.481182 loss: 2.173120 eta: 1 day, 20:39:01 batch_cost: 1.0667 data_cost: 0.0096 ips: 37.4985 images/s
[07/27 16:22:43] ppdet.engine INFO: Epoch: [105] [460/732] learning_rate: 0.140067 loss_vfl: 1.078673 loss_bbox: 0.563644 loss_dfl: 0.458295 loss: 2.083800 eta: 1 day, 20:38:36 batch_cost: 1.0613 data_cost: 0.0055 ips: 37.6890 images/s
[07/27 16:23:07] ppdet.engine INFO: Epoch: [105] [480/732] learning_rate: 0.140039 loss_vfl: 1.109149 loss_bbox: 0.572934 loss_dfl: 0.470424 loss: 2.153196 eta: 1 day, 20:38:10 batch_cost: 1.0304 data_cost: 0.0063 ips: 38.8210 images/s
[07/27 16:23:36] ppdet.engine INFO: Epoch: [105] [500/732] learning_rate: 0.140012 loss_vfl: 1.136996 loss_bbox: 0.597011 loss_dfl: 0.488858 loss: 2.243684 eta: 1 day, 20:37:49 batch_cost: 1.1683 data_cost: 0.0172 ips: 34.2367 images/s
[07/27 16:24:02] ppdet.engine INFO: Epoch: [105] [520/732] learning_rate: 0.139984 loss_vfl: 1.117422 loss_bbox: 0.576419 loss_dfl: 0.476989 loss: 2.167707 eta: 1 day, 20:37:25 batch_cost: 1.0912 data_cost: 0.0060 ips: 36.6556 images/s
[07/27 16:24:27] ppdet.engine INFO: Epoch: [105] [540/732] learning_rate: 0.139956 loss_vfl: 1.110189 loss_bbox: 0.577509 loss_dfl: 0.484570 loss: 2.189121 eta: 1 day, 20:36:58 batch_cost: 1.0105 data_cost: 0.0150 ips: 39.5840 images/s
[07/27 16:24:53] ppdet.engine INFO: Epoch: [105] [560/732] learning_rate: 0.139929 loss_vfl: 1.114577 loss_bbox: 0.583334 loss_dfl: 0.482427 loss: 2.173446 eta: 1 day, 20:36:31 batch_cost: 1.0222 data_cost: 0.0080 ips: 39.1298 images/s
[07/27 16:25:20] ppdet.engine INFO: Epoch: [105] [580/732] learning_rate: 0.139901 loss_vfl: 1.130188 loss_bbox: 0.577459 loss_dfl: 0.474658 loss: 2.193163 eta: 1 day, 20:36:05 batch_cost: 1.0439 data_cost: 0.0089 ips: 38.3196 images/s
[07/27 16:25:46] ppdet.engine INFO: Epoch: [105] [600/732] learning_rate: 0.139873 loss_vfl: 1.092013 loss_bbox: 0.587464 loss_dfl: 0.480382 loss: 2.162099 eta: 1 day, 20:35:38 batch_cost: 1.0078 data_cost: 0.0145 ips: 39.6888 images/s
[07/27 16:26:14] ppdet.engine INFO: Epoch: [105] [620/732] learning_rate: 0.139846 loss_vfl: 1.099996 loss_bbox: 0.559300 loss_dfl: 0.478248 loss: 2.160841 eta: 1 day, 20:35:16 batch_cost: 1.1325 data_cost: 0.0062 ips: 35.3201 images/s
[07/27 16:26:39] ppdet.engine INFO: Epoch: [105] [640/732] learning_rate: 0.139818 loss_vfl: 1.132467 loss_bbox: 0.572494 loss_dfl: 0.480980 loss: 2.207576 eta: 1 day, 20:34:47 batch_cost: 0.9676 data_cost: 0.0057 ips: 41.3403 images/s
[07/27 16:27:06] ppdet.engine INFO: Epoch: [105] [660/732] learning_rate: 0.139791 loss_vfl: 1.100027 loss_bbox: 0.554775 loss_dfl: 0.458450 loss: 2.119005 eta: 1 day, 20:34:23 batch_cost: 1.0895 data_cost: 0.0111 ips: 36.7137 images/s
[07/27 16:27:31] ppdet.engine INFO: Epoch: [105] [680/732] learning_rate: 0.139763 loss_vfl: 1.108119 loss_bbox: 0.589014 loss_dfl: 0.478705 loss: 2.164984 eta: 1 day, 20:33:56 batch_cost: 1.0097 data_cost: 0.0175 ips: 39.6176 images/s
[07/27 16:27:58] ppdet.engine INFO: Epoch: [105] [700/732] learning_rate: 0.139735 loss_vfl: 1.154621 loss_bbox: 0.607640 loss_dfl: 0.495183 loss: 2.265117 eta: 1 day, 20:33:33 batch_cost: 1.1107 data_cost: 0.0019 ips: 36.0144 images/s
[07/27 16:28:23] ppdet.engine INFO: Epoch: [105] [720/732] learning_rate: 0.139708 loss_vfl: 1.115567 loss_bbox: 0.577180 loss_dfl: 0.482227 loss: 2.169739 eta: 1 day, 20:33:07 batch_cost: 1.0349 data_cost: 0.0119 ips: 38.6517 images/s
[07/27 16:28:47] ppdet.engine INFO: Epoch: [106] [  0/732] learning_rate: 0.139691 loss_vfl: 1.122929 loss_bbox: 0.592427 loss_dfl: 0.487244 loss: 2.224070 eta: 1 day, 20:33:06 batch_cost: 1.4102 data_cost: 0.5600 ips: 28.3657 images/s
[07/27 16:29:14] ppdet.engine INFO: Epoch: [106] [ 20/732] learning_rate: 0.139663 loss_vfl: 1.147216 loss_bbox: 0.584919 loss_dfl: 0.481196 loss: 2.202484 eta: 1 day, 20:32:45 batch_cost: 1.1785 data_cost: 0.0074 ips: 33.9404 images/s
[07/27 16:29:41] ppdet.engine INFO: Epoch: [106] [ 40/732] learning_rate: 0.139636 loss_vfl: 1.138908 loss_bbox: 0.570984 loss_dfl: 0.472473 loss: 2.169332 eta: 1 day, 20:32:20 batch_cost: 1.0736 data_cost: 0.0062 ips: 37.2581 images/s
[07/27 16:30:08] ppdet.engine INFO: Epoch: [106] [ 60/732] learning_rate: 0.139608 loss_vfl: 1.116546 loss_bbox: 0.599329 loss_dfl: 0.491595 loss: 2.215324 eta: 1 day, 20:32:00 batch_cost: 1.1876 data_cost: 0.0077 ips: 33.6827 images/s
[07/27 16:30:35] ppdet.engine INFO: Epoch: [106] [ 80/732] learning_rate: 0.139580 loss_vfl: 1.093774 loss_bbox: 0.557280 loss_dfl: 0.463812 loss: 2.127542 eta: 1 day, 20:31:38 batch_cost: 1.1387 data_cost: 0.0090 ips: 35.1264 images/s
[07/27 16:31:00] ppdet.engine INFO: Epoch: [106] [100/732] learning_rate: 0.139553 loss_vfl: 1.087583 loss_bbox: 0.566912 loss_dfl: 0.467413 loss: 2.120399 eta: 1 day, 20:31:12 batch_cost: 1.0344 data_cost: 0.0104 ips: 38.6689 images/s
[07/27 16:31:27] ppdet.engine INFO: Epoch: [106] [120/732] learning_rate: 0.139525 loss_vfl: 1.150916 loss_bbox: 0.596702 loss_dfl: 0.489879 loss: 2.238215 eta: 1 day, 20:30:51 batch_cost: 1.1865 data_cost: 0.0018 ips: 33.7128 images/s
[07/27 16:31:53] ppdet.engine INFO: Epoch: [106] [140/732] learning_rate: 0.139497 loss_vfl: 1.087887 loss_bbox: 0.561071 loss_dfl: 0.466609 loss: 2.122849 eta: 1 day, 20:30:27 batch_cost: 1.1001 data_cost: 0.0044 ips: 36.3604 images/s
[07/27 16:32:19] ppdet.engine INFO: Epoch: [106] [160/732] learning_rate: 0.139470 loss_vfl: 1.144584 loss_bbox: 0.585535 loss_dfl: 0.488353 loss: 2.215648 eta: 1 day, 20:30:03 batch_cost: 1.0877 data_cost: 0.0067 ips: 36.7754 images/s
[07/27 16:32:48] ppdet.engine INFO: Epoch: [106] [180/732] learning_rate: 0.139442 loss_vfl: 1.118113 loss_bbox: 0.601300 loss_dfl: 0.488894 loss: 2.202452 eta: 1 day, 20:29:41 batch_cost: 1.1342 data_cost: 0.0192 ips: 35.2658 images/s
[07/27 16:33:16] ppdet.engine INFO: Epoch: [106] [200/732] learning_rate: 0.139414 loss_vfl: 1.138244 loss_bbox: 0.585802 loss_dfl: 0.483181 loss: 2.191843 eta: 1 day, 20:29:16 batch_cost: 1.0694 data_cost: 0.0060 ips: 37.4026 images/s
[07/27 16:33:39] ppdet.engine INFO: Epoch: [106] [220/732] learning_rate: 0.139386 loss_vfl: 1.126048 loss_bbox: 0.584991 loss_dfl: 0.481416 loss: 2.172929 eta: 1 day, 20:28:47 batch_cost: 0.9448 data_cost: 0.0035 ips: 42.3354 images/s
[07/27 16:34:06] ppdet.engine INFO: Epoch: [106] [240/732] learning_rate: 0.139359 loss_vfl: 1.060691 loss_bbox: 0.567009 loss_dfl: 0.460953 loss: 2.091842 eta: 1 day, 20:28:21 batch_cost: 1.0348 data_cost: 0.0094 ips: 38.6535 images/s
[07/27 16:34:33] ppdet.engine INFO: Epoch: [106] [260/732] learning_rate: 0.139331 loss_vfl: 1.084239 loss_bbox: 0.560105 loss_dfl: 0.453577 loss: 2.096206 eta: 1 day, 20:28:02 batch_cost: 1.2251 data_cost: 0.0065 ips: 32.6512 images/s
[07/27 16:35:00] ppdet.engine INFO: Epoch: [106] [280/732] learning_rate: 0.139303 loss_vfl: 1.124525 loss_bbox: 0.566460 loss_dfl: 0.482964 loss: 2.176003 eta: 1 day, 20:27:37 batch_cost: 1.0770 data_cost: 0.0172 ips: 37.1398 images/s
[07/27 16:35:27] ppdet.engine INFO: Epoch: [106] [300/732] learning_rate: 0.139276 loss_vfl: 1.188935 loss_bbox: 0.615758 loss_dfl: 0.518586 loss: 2.323378 eta: 1 day, 20:27:14 batch_cost: 1.1177 data_cost: 0.0052 ips: 35.7872 images/s
[07/27 16:35:53] ppdet.engine INFO: Epoch: [106] [320/732] learning_rate: 0.139248 loss_vfl: 1.082544 loss_bbox: 0.543436 loss_dfl: 0.447294 loss: 2.102630 eta: 1 day, 20:26:51 batch_cost: 1.1021 data_cost: 0.0110 ips: 36.2931 images/s
[07/27 16:36:19] ppdet.engine INFO: Epoch: [106] [340/732] learning_rate: 0.139220 loss_vfl: 1.066142 loss_bbox: 0.563930 loss_dfl: 0.463180 loss: 2.076310 eta: 1 day, 20:26:28 batch_cost: 1.1213 data_cost: 0.0064 ips: 35.6740 images/s
[07/27 16:36:45] ppdet.engine INFO: Epoch: [106] [360/732] learning_rate: 0.139192 loss_vfl: 1.063999 loss_bbox: 0.573346 loss_dfl: 0.467638 loss: 2.116184 eta: 1 day, 20:26:01 batch_cost: 1.0274 data_cost: 0.0072 ips: 38.9350 images/s
[07/27 16:37:09] ppdet.engine INFO: Epoch: [106] [380/732] learning_rate: 0.139165 loss_vfl: 1.119231 loss_bbox: 0.591163 loss_dfl: 0.480106 loss: 2.186385 eta: 1 day, 20:25:32 batch_cost: 0.9391 data_cost: 0.0119 ips: 42.5920 images/s
[07/27 16:37:37] ppdet.engine INFO: Epoch: [106] [400/732] learning_rate: 0.139137 loss_vfl: 1.124780 loss_bbox: 0.604350 loss_dfl: 0.490546 loss: 2.251458 eta: 1 day, 20:25:10 batch_cost: 1.1526 data_cost: 0.0214 ips: 34.7032 images/s
[07/27 16:38:03] ppdet.engine INFO: Epoch: [106] [420/732] learning_rate: 0.139109 loss_vfl: 1.131003 loss_bbox: 0.590972 loss_dfl: 0.483666 loss: 2.202513 eta: 1 day, 20:24:45 batch_cost: 1.0481 data_cost: 0.0072 ips: 38.1651 images/s
[07/27 16:38:29] ppdet.engine INFO: Epoch: [106] [440/732] learning_rate: 0.139082 loss_vfl: 1.159365 loss_bbox: 0.601955 loss_dfl: 0.497589 loss: 2.273307 eta: 1 day, 20:24:21 batch_cost: 1.0933 data_cost: 0.0119 ips: 36.5854 images/s
[07/27 16:38:54] ppdet.engine INFO: Epoch: [106] [460/732] learning_rate: 0.139054 loss_vfl: 1.076159 loss_bbox: 0.582476 loss_dfl: 0.472352 loss: 2.137868 eta: 1 day, 20:23:52 batch_cost: 0.9616 data_cost: 0.0075 ips: 41.5963 images/s
[07/27 16:39:19] ppdet.engine INFO: Epoch: [106] [480/732] learning_rate: 0.139026 loss_vfl: 1.101656 loss_bbox: 0.565912 loss_dfl: 0.456710 loss: 2.095031 eta: 1 day, 20:23:25 batch_cost: 1.0115 data_cost: 0.0050 ips: 39.5440 images/s
[07/27 16:39:47] ppdet.engine INFO: Epoch: [106] [500/732] learning_rate: 0.138998 loss_vfl: 1.149490 loss_bbox: 0.581740 loss_dfl: 0.484387 loss: 2.204711 eta: 1 day, 20:23:01 batch_cost: 1.0876 data_cost: 0.0045 ips: 36.7797 images/s
[07/27 16:40:13] ppdet.engine INFO: Epoch: [106] [520/732] learning_rate: 0.138971 loss_vfl: 1.132749 loss_bbox: 0.599745 loss_dfl: 0.492372 loss: 2.221353 eta: 1 day, 20:22:34 batch_cost: 0.9979 data_cost: 0.0114 ips: 40.0824 images/s
[07/27 16:40:39] ppdet.engine INFO: Epoch: [106] [540/732] learning_rate: 0.138943 loss_vfl: 1.131777 loss_bbox: 0.608015 loss_dfl: 0.495462 loss: 2.242634 eta: 1 day, 20:22:06 batch_cost: 0.9916 data_cost: 0.0039 ips: 40.3407 images/s
[07/27 16:41:03] ppdet.engine INFO: Epoch: [106] [560/732] learning_rate: 0.138915 loss_vfl: 1.112368 loss_bbox: 0.590431 loss_dfl: 0.481849 loss: 2.165401 eta: 1 day, 20:21:37 batch_cost: 0.9562 data_cost: 0.0046 ips: 41.8327 images/s
[07/27 16:41:29] ppdet.engine INFO: Epoch: [106] [580/732] learning_rate: 0.138887 loss_vfl: 1.128078 loss_bbox: 0.584341 loss_dfl: 0.485344 loss: 2.200923 eta: 1 day, 20:21:11 batch_cost: 1.0117 data_cost: 0.0129 ips: 39.5363 images/s
[07/27 16:41:55] ppdet.engine INFO: Epoch: [106] [600/732] learning_rate: 0.138860 loss_vfl: 1.138559 loss_bbox: 0.598764 loss_dfl: 0.494629 loss: 2.235255 eta: 1 day, 20:20:43 batch_cost: 0.9860 data_cost: 0.0071 ips: 40.5667 images/s
[07/27 16:42:19] ppdet.engine INFO: Epoch: [106] [620/732] learning_rate: 0.138832 loss_vfl: 1.136901 loss_bbox: 0.578228 loss_dfl: 0.479145 loss: 2.199202 eta: 1 day, 20:20:13 batch_cost: 0.9218 data_cost: 0.0049 ips: 43.3918 images/s
[07/27 16:42:48] ppdet.engine INFO: Epoch: [106] [640/732] learning_rate: 0.138804 loss_vfl: 1.118273 loss_bbox: 0.570343 loss_dfl: 0.479963 loss: 2.172268 eta: 1 day, 20:19:52 batch_cost: 1.1796 data_cost: 0.0059 ips: 33.9089 images/s
[07/27 16:43:12] ppdet.engine INFO: Epoch: [106] [660/732] learning_rate: 0.138776 loss_vfl: 1.116415 loss_bbox: 0.577369 loss_dfl: 0.475245 loss: 2.162435 eta: 1 day, 20:19:24 batch_cost: 0.9787 data_cost: 0.0097 ips: 40.8709 images/s
[07/27 16:43:37] ppdet.engine INFO: Epoch: [106] [680/732] learning_rate: 0.138749 loss_vfl: 1.104030 loss_bbox: 0.571058 loss_dfl: 0.474986 loss: 2.145071 eta: 1 day, 20:18:57 batch_cost: 1.0149 data_cost: 0.0098 ips: 39.4115 images/s
[07/27 16:44:04] ppdet.engine INFO: Epoch: [106] [700/732] learning_rate: 0.138721 loss_vfl: 1.104076 loss_bbox: 0.564651 loss_dfl: 0.465232 loss: 2.120102 eta: 1 day, 20:18:33 batch_cost: 1.0662 data_cost: 0.0060 ips: 37.5181 images/s
[07/27 16:44:31] ppdet.engine INFO: Epoch: [106] [720/732] learning_rate: 0.138693 loss_vfl: 1.132060 loss_bbox: 0.588838 loss_dfl: 0.482966 loss: 2.197901 eta: 1 day, 20:18:08 batch_cost: 1.0825 data_cost: 0.0039 ips: 36.9518 images/s
[07/27 16:44:51] ppdet.engine INFO: Epoch: [107] [  0/732] learning_rate: 0.138676 loss_vfl: 1.105468 loss_bbox: 0.586102 loss_dfl: 0.476685 loss: 2.166671 eta: 1 day, 20:18:00 batch_cost: 1.2617 data_cost: 0.4403 ips: 31.7024 images/s
[07/27 16:45:23] ppdet.engine INFO: Epoch: [107] [ 20/732] learning_rate: 0.138649 loss_vfl: 1.090419 loss_bbox: 0.595740 loss_dfl: 0.476949 loss: 2.160505 eta: 1 day, 20:17:48 batch_cost: 1.4229 data_cost: 0.1771 ips: 28.1123 images/s
[07/27 16:45:48] ppdet.engine INFO: Epoch: [107] [ 40/732] learning_rate: 0.138621 loss_vfl: 1.097905 loss_bbox: 0.555598 loss_dfl: 0.466924 loss: 2.107707 eta: 1 day, 20:17:21 batch_cost: 1.0052 data_cost: 0.0070 ips: 39.7912 images/s
[07/27 16:46:15] ppdet.engine INFO: Epoch: [107] [ 60/732] learning_rate: 0.138593 loss_vfl: 1.109903 loss_bbox: 0.566352 loss_dfl: 0.467988 loss: 2.140017 eta: 1 day, 20:16:59 batch_cost: 1.1218 data_cost: 0.0063 ips: 35.6558 images/s
[07/27 16:46:43] ppdet.engine INFO: Epoch: [107] [ 80/732] learning_rate: 0.138565 loss_vfl: 1.087440 loss_bbox: 0.556424 loss_dfl: 0.466923 loss: 2.115477 eta: 1 day, 20:16:38 batch_cost: 1.1731 data_cost: 0.0059 ips: 34.0984 images/s
[07/27 16:47:09] ppdet.engine INFO: Epoch: [107] [100/732] learning_rate: 0.138537 loss_vfl: 1.091486 loss_bbox: 0.575319 loss_dfl: 0.471519 loss: 2.103634 eta: 1 day, 20:16:11 batch_cost: 1.0163 data_cost: 0.0032 ips: 39.3603 images/s
[07/27 16:47:38] ppdet.engine INFO: Epoch: [107] [120/732] learning_rate: 0.138510 loss_vfl: 1.128658 loss_bbox: 0.612741 loss_dfl: 0.500227 loss: 2.240275 eta: 1 day, 20:15:49 batch_cost: 1.1431 data_cost: 0.0039 ips: 34.9919 images/s
[07/27 16:48:05] ppdet.engine INFO: Epoch: [107] [140/732] learning_rate: 0.138482 loss_vfl: 1.118752 loss_bbox: 0.559508 loss_dfl: 0.463804 loss: 2.144466 eta: 1 day, 20:15:24 batch_cost: 1.0765 data_cost: 0.0110 ips: 37.1581 images/s
[07/27 16:48:33] ppdet.engine INFO: Epoch: [107] [160/732] learning_rate: 0.138454 loss_vfl: 1.094935 loss_bbox: 0.574350 loss_dfl: 0.474823 loss: 2.138452 eta: 1 day, 20:15:05 batch_cost: 1.2108 data_cost: 0.0077 ips: 33.0363 images/s
[07/27 16:49:00] ppdet.engine INFO: Epoch: [107] [180/732] learning_rate: 0.138426 loss_vfl: 1.167381 loss_bbox: 0.586444 loss_dfl: 0.490328 loss: 2.242354 eta: 1 day, 20:14:42 batch_cost: 1.1182 data_cost: 0.0122 ips: 35.7710 images/s
[07/27 16:49:27] ppdet.engine INFO: Epoch: [107] [200/732] learning_rate: 0.138398 loss_vfl: 1.088794 loss_bbox: 0.580070 loss_dfl: 0.467381 loss: 2.133000 eta: 1 day, 20:14:22 batch_cost: 1.1940 data_cost: 0.0110 ips: 33.5009 images/s
[07/27 16:49:52] ppdet.engine INFO: Epoch: [107] [220/732] learning_rate: 0.138371 loss_vfl: 1.111005 loss_bbox: 0.583961 loss_dfl: 0.473152 loss: 2.172243 eta: 1 day, 20:13:57 batch_cost: 1.0824 data_cost: 0.0026 ips: 36.9562 images/s
[07/27 16:50:19] ppdet.engine INFO: Epoch: [107] [240/732] learning_rate: 0.138343 loss_vfl: 1.151016 loss_bbox: 0.605337 loss_dfl: 0.491419 loss: 2.247770 eta: 1 day, 20:13:37 batch_cost: 1.1865 data_cost: 0.0040 ips: 33.7128 images/s
[07/27 16:50:47] ppdet.engine INFO: Epoch: [107] [260/732] learning_rate: 0.138315 loss_vfl: 1.115122 loss_bbox: 0.566472 loss_dfl: 0.471256 loss: 2.175966 eta: 1 day, 20:13:14 batch_cost: 1.1342 data_cost: 0.0122 ips: 35.2667 images/s
[07/27 16:51:13] ppdet.engine INFO: Epoch: [107] [280/732] learning_rate: 0.138287 loss_vfl: 1.068727 loss_bbox: 0.557415 loss_dfl: 0.455854 loss: 2.069119 eta: 1 day, 20:12:50 batch_cost: 1.0731 data_cost: 0.0070 ips: 37.2742 images/s
[07/27 16:51:40] ppdet.engine INFO: Epoch: [107] [300/732] learning_rate: 0.138259 loss_vfl: 1.121410 loss_bbox: 0.565623 loss_dfl: 0.479754 loss: 2.160981 eta: 1 day, 20:12:27 batch_cost: 1.1345 data_cost: 0.0118 ips: 35.2567 images/s
[07/27 16:52:07] ppdet.engine INFO: Epoch: [107] [320/732] learning_rate: 0.138231 loss_vfl: 1.041420 loss_bbox: 0.551781 loss_dfl: 0.453637 loss: 2.023953 eta: 1 day, 20:12:03 batch_cost: 1.0694 data_cost: 0.0053 ips: 37.4050 images/s
[07/27 16:52:32] ppdet.engine INFO: Epoch: [107] [340/732] learning_rate: 0.138204 loss_vfl: 1.121425 loss_bbox: 0.570345 loss_dfl: 0.476281 loss: 2.172842 eta: 1 day, 20:11:38 batch_cost: 1.0742 data_cost: 0.0089 ips: 37.2368 images/s
[07/27 16:53:01] ppdet.engine INFO: Epoch: [107] [360/732] learning_rate: 0.138176 loss_vfl: 1.129141 loss_bbox: 0.594330 loss_dfl: 0.487313 loss: 2.215590 eta: 1 day, 20:11:18 batch_cost: 1.2088 data_cost: 0.0055 ips: 33.0920 images/s
[07/27 16:53:27] ppdet.engine INFO: Epoch: [107] [380/732] learning_rate: 0.138148 loss_vfl: 1.104170 loss_bbox: 0.558431 loss_dfl: 0.474302 loss: 2.134483 eta: 1 day, 20:10:56 batch_cost: 1.1307 data_cost: 0.0094 ips: 35.3771 images/s
[07/27 16:53:53] ppdet.engine INFO: Epoch: [107] [400/732] learning_rate: 0.138120 loss_vfl: 1.114733 loss_bbox: 0.569145 loss_dfl: 0.479714 loss: 2.172714 eta: 1 day, 20:10:33 batch_cost: 1.1144 data_cost: 0.0112 ips: 35.8944 images/s
[07/27 16:54:18] ppdet.engine INFO: Epoch: [107] [420/732] learning_rate: 0.138092 loss_vfl: 1.107932 loss_bbox: 0.589794 loss_dfl: 0.484132 loss: 2.177939 eta: 1 day, 20:10:08 batch_cost: 1.0673 data_cost: 0.0020 ips: 37.4786 images/s
[07/27 16:54:45] ppdet.engine INFO: Epoch: [107] [440/732] learning_rate: 0.138064 loss_vfl: 1.133346 loss_bbox: 0.597609 loss_dfl: 0.485910 loss: 2.210828 eta: 1 day, 20:09:44 batch_cost: 1.0751 data_cost: 0.0099 ips: 37.2062 images/s
[07/27 16:55:11] ppdet.engine INFO: Epoch: [107] [460/732] learning_rate: 0.138037 loss_vfl: 1.137281 loss_bbox: 0.576257 loss_dfl: 0.480598 loss: 2.203791 eta: 1 day, 20:09:18 batch_cost: 1.0357 data_cost: 0.0063 ips: 38.6212 images/s
[07/27 16:55:39] ppdet.engine INFO: Epoch: [107] [480/732] learning_rate: 0.138009 loss_vfl: 1.072308 loss_bbox: 0.546726 loss_dfl: 0.459578 loss: 2.097124 eta: 1 day, 20:08:56 batch_cost: 1.1486 data_cost: 0.0072 ips: 34.8248 images/s
[07/27 16:56:05] ppdet.engine INFO: Epoch: [107] [500/732] learning_rate: 0.137981 loss_vfl: 1.141164 loss_bbox: 0.599930 loss_dfl: 0.488591 loss: 2.214183 eta: 1 day, 20:08:34 batch_cost: 1.1426 data_cost: 0.0029 ips: 35.0093 images/s
[07/27 16:56:33] ppdet.engine INFO: Epoch: [107] [520/732] learning_rate: 0.137953 loss_vfl: 1.091474 loss_bbox: 0.561019 loss_dfl: 0.464740 loss: 2.098803 eta: 1 day, 20:08:13 batch_cost: 1.1812 data_cost: 0.0034 ips: 33.8641 images/s
[07/27 16:56:59] ppdet.engine INFO: Epoch: [107] [540/732] learning_rate: 0.137925 loss_vfl: 1.129892 loss_bbox: 0.571560 loss_dfl: 0.471216 loss: 2.162912 eta: 1 day, 20:07:49 batch_cost: 1.0975 data_cost: 0.0066 ips: 36.4458 images/s
[07/27 16:57:26] ppdet.engine INFO: Epoch: [107] [560/732] learning_rate: 0.137897 loss_vfl: 1.147261 loss_bbox: 0.594661 loss_dfl: 0.493057 loss: 2.228811 eta: 1 day, 20:07:25 batch_cost: 1.0728 data_cost: 0.0041 ips: 37.2851 images/s
[07/27 16:57:52] ppdet.engine INFO: Epoch: [107] [580/732] learning_rate: 0.137869 loss_vfl: 1.153739 loss_bbox: 0.599410 loss_dfl: 0.497656 loss: 2.248601 eta: 1 day, 20:07:00 batch_cost: 1.0599 data_cost: 0.0069 ips: 37.7389 images/s
[07/27 16:58:17] ppdet.engine INFO: Epoch: [107] [600/732] learning_rate: 0.137842 loss_vfl: 1.146909 loss_bbox: 0.589324 loss_dfl: 0.497492 loss: 2.223347 eta: 1 day, 20:06:34 batch_cost: 1.0501 data_cost: 0.0933 ips: 38.0912 images/s
[07/27 16:58:45] ppdet.engine INFO: Epoch: [107] [620/732] learning_rate: 0.137814 loss_vfl: 1.141471 loss_bbox: 0.594286 loss_dfl: 0.495239 loss: 2.243058 eta: 1 day, 20:06:13 batch_cost: 1.1547 data_cost: 0.0045 ips: 34.6396 images/s
[07/27 16:59:11] ppdet.engine INFO: Epoch: [107] [640/732] learning_rate: 0.137786 loss_vfl: 1.125797 loss_bbox: 0.588191 loss_dfl: 0.488128 loss: 2.210162 eta: 1 day, 20:05:47 batch_cost: 1.0430 data_cost: 0.0045 ips: 38.3522 images/s
[07/27 16:59:39] ppdet.engine INFO: Epoch: [107] [660/732] learning_rate: 0.137758 loss_vfl: 1.150379 loss_bbox: 0.597528 loss_dfl: 0.489058 loss: 2.242976 eta: 1 day, 20:05:24 batch_cost: 1.1206 data_cost: 0.0083 ips: 35.6952 images/s
[07/27 17:00:05] ppdet.engine INFO: Epoch: [107] [680/732] learning_rate: 0.137730 loss_vfl: 1.102287 loss_bbox: 0.569748 loss_dfl: 0.460787 loss: 2.129909 eta: 1 day, 20:05:00 batch_cost: 1.0930 data_cost: 0.0041 ips: 36.5963 images/s
[07/27 17:00:31] ppdet.engine INFO: Epoch: [107] [700/732] learning_rate: 0.137702 loss_vfl: 1.098560 loss_bbox: 0.590922 loss_dfl: 0.475486 loss: 2.173028 eta: 1 day, 20:04:35 batch_cost: 1.0551 data_cost: 0.0042 ips: 37.9109 images/s
[07/27 17:00:56] ppdet.engine INFO: Epoch: [107] [720/732] learning_rate: 0.137674 loss_vfl: 1.141383 loss_bbox: 0.579212 loss_dfl: 0.485535 loss: 2.206456 eta: 1 day, 20:04:10 batch_cost: 1.0451 data_cost: 0.0067 ips: 38.2729 images/s
[07/27 17:01:19] ppdet.engine INFO: Epoch: [108] [  0/732] learning_rate: 0.137658 loss_vfl: 1.122635 loss_bbox: 0.572132 loss_dfl: 0.477548 loss: 2.200342 eta: 1 day, 20:04:07 batch_cost: 1.4083 data_cost: 0.5987 ips: 28.4027 images/s
[07/27 17:01:46] ppdet.engine INFO: Epoch: [108] [ 20/732] learning_rate: 0.137630 loss_vfl: 1.150216 loss_bbox: 0.610764 loss_dfl: 0.496113 loss: 2.253895 eta: 1 day, 20:03:43 batch_cost: 1.0805 data_cost: 0.0040 ips: 37.0205 images/s
[07/27 17:02:13] ppdet.engine INFO: Epoch: [108] [ 40/732] learning_rate: 0.137602 loss_vfl: 1.099887 loss_bbox: 0.566499 loss_dfl: 0.461958 loss: 2.113498 eta: 1 day, 20:03:21 batch_cost: 1.1422 data_cost: 0.0083 ips: 35.0213 images/s
[07/27 17:02:41] ppdet.engine INFO: Epoch: [108] [ 60/732] learning_rate: 0.137574 loss_vfl: 1.118036 loss_bbox: 0.584091 loss_dfl: 0.478501 loss: 2.159710 eta: 1 day, 20:02:56 batch_cost: 1.0546 data_cost: 0.0115 ips: 37.9307 images/s
[07/27 17:03:06] ppdet.engine INFO: Epoch: [108] [ 80/732] learning_rate: 0.137546 loss_vfl: 1.141286 loss_bbox: 0.585663 loss_dfl: 0.486619 loss: 2.193632 eta: 1 day, 20:02:32 batch_cost: 1.1037 data_cost: 0.0066 ips: 36.2421 images/s
[07/27 17:03:34] ppdet.engine INFO: Epoch: [108] [100/732] learning_rate: 0.137518 loss_vfl: 1.114819 loss_bbox: 0.579378 loss_dfl: 0.473848 loss: 2.147633 eta: 1 day, 20:02:13 batch_cost: 1.2346 data_cost: 0.0113 ips: 32.3986 images/s
[07/27 17:04:00] ppdet.engine INFO: Epoch: [108] [120/732] learning_rate: 0.137490 loss_vfl: 1.104158 loss_bbox: 0.545904 loss_dfl: 0.458088 loss: 2.127604 eta: 1 day, 20:01:48 batch_cost: 1.0557 data_cost: 0.0106 ips: 37.8886 images/s
[07/27 17:04:25] ppdet.engine INFO: Epoch: [108] [140/732] learning_rate: 0.137462 loss_vfl: 1.107909 loss_bbox: 0.569292 loss_dfl: 0.466892 loss: 2.134727 eta: 1 day, 20:01:23 batch_cost: 1.0458 data_cost: 0.0106 ips: 38.2486 images/s
[07/27 17:04:53] ppdet.engine INFO: Epoch: [108] [160/732] learning_rate: 0.137434 loss_vfl: 1.110516 loss_bbox: 0.590357 loss_dfl: 0.483825 loss: 2.194506 eta: 1 day, 20:01:04 batch_cost: 1.2334 data_cost: 0.0068 ips: 32.4306 images/s
[07/27 17:05:18] ppdet.engine INFO: Epoch: [108] [180/732] learning_rate: 0.137406 loss_vfl: 1.114546 loss_bbox: 0.586372 loss_dfl: 0.478806 loss: 2.182421 eta: 1 day, 20:00:37 batch_cost: 1.0008 data_cost: 0.0099 ips: 39.9669 images/s
[07/27 17:05:46] ppdet.engine INFO: Epoch: [108] [200/732] learning_rate: 0.137378 loss_vfl: 1.118311 loss_bbox: 0.579027 loss_dfl: 0.474339 loss: 2.150177 eta: 1 day, 20:00:14 batch_cost: 1.1352 data_cost: 0.0057 ips: 35.2374 images/s
[07/27 17:06:11] ppdet.engine INFO: Epoch: [108] [220/732] learning_rate: 0.137351 loss_vfl: 1.108222 loss_bbox: 0.591020 loss_dfl: 0.483596 loss: 2.172959 eta: 1 day, 19:59:49 batch_cost: 1.0389 data_cost: 0.0050 ips: 38.5034 images/s
[07/27 17:06:41] ppdet.engine INFO: Epoch: [108] [240/732] learning_rate: 0.137323 loss_vfl: 1.089875 loss_bbox: 0.567814 loss_dfl: 0.462600 loss: 2.099139 eta: 1 day, 19:59:29 batch_cost: 1.2082 data_cost: 0.0041 ips: 33.1059 images/s
[07/27 17:07:08] ppdet.engine INFO: Epoch: [108] [260/732] learning_rate: 0.137295 loss_vfl: 1.122771 loss_bbox: 0.582780 loss_dfl: 0.475205 loss: 2.186851 eta: 1 day, 19:59:05 batch_cost: 1.0940 data_cost: 0.0083 ips: 36.5637 images/s
[07/27 17:07:34] ppdet.engine INFO: Epoch: [108] [280/732] learning_rate: 0.137267 loss_vfl: 1.128039 loss_bbox: 0.576580 loss_dfl: 0.482329 loss: 2.214544 eta: 1 day, 19:58:40 batch_cost: 1.0521 data_cost: 0.0054 ips: 38.0175 images/s
[07/27 17:08:01] ppdet.engine INFO: Epoch: [108] [300/732] learning_rate: 0.137239 loss_vfl: 1.131109 loss_bbox: 0.597389 loss_dfl: 0.486695 loss: 2.201894 eta: 1 day, 19:58:14 batch_cost: 1.0492 data_cost: 0.0067 ips: 38.1229 images/s
[07/27 17:08:27] ppdet.engine INFO: Epoch: [108] [320/732] learning_rate: 0.137211 loss_vfl: 1.092792 loss_bbox: 0.560884 loss_dfl: 0.469303 loss: 2.175665 eta: 1 day, 19:57:50 batch_cost: 1.0910 data_cost: 0.0071 ips: 36.6646 images/s
[07/27 17:08:55] ppdet.engine INFO: Epoch: [108] [340/732] learning_rate: 0.137183 loss_vfl: 1.087623 loss_bbox: 0.563743 loss_dfl: 0.468626 loss: 2.127736 eta: 1 day, 19:57:29 batch_cost: 1.1611 data_cost: 0.0085 ips: 34.4515 images/s
[07/27 17:09:21] ppdet.engine INFO: Epoch: [108] [360/732] learning_rate: 0.137155 loss_vfl: 1.112255 loss_bbox: 0.578183 loss_dfl: 0.481676 loss: 2.162172 eta: 1 day, 19:57:03 batch_cost: 1.0216 data_cost: 0.0169 ips: 39.1540 images/s
[07/27 17:09:48] ppdet.engine INFO: Epoch: [108] [380/732] learning_rate: 0.137127 loss_vfl: 1.120496 loss_bbox: 0.573897 loss_dfl: 0.472469 loss: 2.143030 eta: 1 day, 19:56:37 batch_cost: 1.0525 data_cost: 0.0045 ips: 38.0048 images/s
[07/27 17:10:16] ppdet.engine INFO: Epoch: [108] [400/732] learning_rate: 0.137099 loss_vfl: 1.130341 loss_bbox: 0.575383 loss_dfl: 0.478437 loss: 2.169243 eta: 1 day, 19:56:13 batch_cost: 1.0785 data_cost: 0.0073 ips: 37.0884 images/s
[07/27 17:10:43] ppdet.engine INFO: Epoch: [108] [420/732] learning_rate: 0.137071 loss_vfl: 1.053279 loss_bbox: 0.553956 loss_dfl: 0.458909 loss: 2.048988 eta: 1 day, 19:55:48 batch_cost: 1.0589 data_cost: 0.0072 ips: 37.7738 images/s
[07/27 17:11:07] ppdet.engine INFO: Epoch: [108] [440/732] learning_rate: 0.137043 loss_vfl: 1.054968 loss_bbox: 0.553510 loss_dfl: 0.461000 loss: 2.071623 eta: 1 day, 19:55:21 batch_cost: 0.9982 data_cost: 0.0054 ips: 40.0720 images/s
[07/27 17:11:33] ppdet.engine INFO: Epoch: [108] [460/732] learning_rate: 0.137015 loss_vfl: 1.068504 loss_bbox: 0.558240 loss_dfl: 0.467986 loss: 2.097431 eta: 1 day, 19:54:56 batch_cost: 1.0615 data_cost: 0.0115 ips: 37.6821 images/s
[07/27 17:12:01] ppdet.engine INFO: Epoch: [108] [480/732] learning_rate: 0.136987 loss_vfl: 1.081513 loss_bbox: 0.560884 loss_dfl: 0.466510 loss: 2.114937 eta: 1 day, 19:54:32 batch_cost: 1.1009 data_cost: 0.0119 ips: 36.3341 images/s
[07/27 17:12:27] ppdet.engine INFO: Epoch: [108] [500/732] learning_rate: 0.136959 loss_vfl: 1.131225 loss_bbox: 0.600285 loss_dfl: 0.488905 loss: 2.198910 eta: 1 day, 19:54:09 batch_cost: 1.1037 data_cost: 0.0091 ips: 36.2421 images/s
[07/27 17:12:51] ppdet.engine INFO: Epoch: [108] [520/732] learning_rate: 0.136931 loss_vfl: 1.100781 loss_bbox: 0.602303 loss_dfl: 0.482441 loss: 2.190135 eta: 1 day, 19:53:39 batch_cost: 0.9222 data_cost: 0.0214 ips: 43.3741 images/s
[07/27 17:13:18] ppdet.engine INFO: Epoch: [108] [540/732] learning_rate: 0.136903 loss_vfl: 1.156469 loss_bbox: 0.607461 loss_dfl: 0.492203 loss: 2.252523 eta: 1 day, 19:53:14 batch_cost: 1.0484 data_cost: 0.0254 ips: 38.1530 images/s
[07/27 17:13:44] ppdet.engine INFO: Epoch: [108] [560/732] learning_rate: 0.136875 loss_vfl: 1.145844 loss_bbox: 0.599691 loss_dfl: 0.486268 loss: 2.222085 eta: 1 day, 19:52:47 batch_cost: 1.0216 data_cost: 0.0075 ips: 39.1533 images/s
[07/27 17:14:10] ppdet.engine INFO: Epoch: [108] [580/732] learning_rate: 0.136847 loss_vfl: 1.138826 loss_bbox: 0.581964 loss_dfl: 0.478969 loss: 2.194868 eta: 1 day, 19:52:22 batch_cost: 1.0575 data_cost: 0.0093 ips: 37.8267 images/s
[07/27 17:14:35] ppdet.engine INFO: Epoch: [108] [600/732] learning_rate: 0.136819 loss_vfl: 1.080903 loss_bbox: 0.559295 loss_dfl: 0.459179 loss: 2.113445 eta: 1 day, 19:51:56 batch_cost: 1.0150 data_cost: 0.0140 ips: 39.4078 images/s
[07/27 17:15:01] ppdet.engine INFO: Epoch: [108] [620/732] learning_rate: 0.136791 loss_vfl: 1.092091 loss_bbox: 0.579299 loss_dfl: 0.475937 loss: 2.167309 eta: 1 day, 19:51:30 batch_cost: 1.0403 data_cost: 0.0097 ips: 38.4518 images/s
[07/27 17:15:27] ppdet.engine INFO: Epoch: [108] [640/732] learning_rate: 0.136763 loss_vfl: 1.105332 loss_bbox: 0.570395 loss_dfl: 0.478552 loss: 2.170387 eta: 1 day, 19:51:05 batch_cost: 1.0646 data_cost: 0.0059 ips: 37.5715 images/s
[07/27 17:15:54] ppdet.engine INFO: Epoch: [108] [660/732] learning_rate: 0.136735 loss_vfl: 1.137347 loss_bbox: 0.595866 loss_dfl: 0.493395 loss: 2.237334 eta: 1 day, 19:50:41 batch_cost: 1.0714 data_cost: 0.0072 ips: 37.3334 images/s
[07/27 17:16:20] ppdet.engine INFO: Epoch: [108] [680/732] learning_rate: 0.136707 loss_vfl: 1.128150 loss_bbox: 0.584576 loss_dfl: 0.473903 loss: 2.193611 eta: 1 day, 19:50:12 batch_cost: 0.9546 data_cost: 0.0131 ips: 41.9035 images/s
[07/27 17:16:46] ppdet.engine INFO: Epoch: [108] [700/732] learning_rate: 0.136679 loss_vfl: 1.117747 loss_bbox: 0.594508 loss_dfl: 0.481701 loss: 2.189153 eta: 1 day, 19:49:46 batch_cost: 1.0173 data_cost: 0.0172 ips: 39.3191 images/s
[07/27 17:17:12] ppdet.engine INFO: Epoch: [108] [720/732] learning_rate: 0.136651 loss_vfl: 1.136145 loss_bbox: 0.589449 loss_dfl: 0.480825 loss: 2.208971 eta: 1 day, 19:49:21 batch_cost: 1.0618 data_cost: 0.0041 ips: 37.6729 images/s
[07/27 17:17:35] ppdet.engine INFO: Epoch: [109] [  0/732] learning_rate: 0.136635 loss_vfl: 1.081762 loss_bbox: 0.571707 loss_dfl: 0.466651 loss: 2.127486 eta: 1 day, 19:49:16 batch_cost: 1.3492 data_cost: 0.4817 ips: 29.6482 images/s
[07/27 17:18:01] ppdet.engine INFO: Epoch: [109] [ 20/732] learning_rate: 0.136607 loss_vfl: 1.140665 loss_bbox: 0.583234 loss_dfl: 0.480478 loss: 2.208363 eta: 1 day, 19:48:52 batch_cost: 1.0698 data_cost: 0.0048 ips: 37.3898 images/s
[07/27 17:18:29] ppdet.engine INFO: Epoch: [109] [ 40/732] learning_rate: 0.136579 loss_vfl: 1.088549 loss_bbox: 0.554375 loss_dfl: 0.461568 loss: 2.096913 eta: 1 day, 19:48:29 batch_cost: 1.1325 data_cost: 0.0071 ips: 35.3188 images/s
[07/27 17:18:56] ppdet.engine INFO: Epoch: [109] [ 60/732] learning_rate: 0.136551 loss_vfl: 1.146941 loss_bbox: 0.576043 loss_dfl: 0.483991 loss: 2.229013 eta: 1 day, 19:48:03 batch_cost: 1.0317 data_cost: 0.0041 ips: 38.7724 images/s
[07/27 17:19:21] ppdet.engine INFO: Epoch: [109] [ 80/732] learning_rate: 0.136523 loss_vfl: 1.149499 loss_bbox: 0.590751 loss_dfl: 0.496739 loss: 2.237791 eta: 1 day, 19:47:35 batch_cost: 0.9787 data_cost: 0.0102 ips: 40.8696 images/s
[07/27 17:19:49] ppdet.engine INFO: Epoch: [109] [100/732] learning_rate: 0.136495 loss_vfl: 1.109977 loss_bbox: 0.582269 loss_dfl: 0.475733 loss: 2.153186 eta: 1 day, 19:47:13 batch_cost: 1.1228 data_cost: 0.0053 ips: 35.6245 images/s
[07/27 17:20:14] ppdet.engine INFO: Epoch: [109] [120/732] learning_rate: 0.136467 loss_vfl: 1.117010 loss_bbox: 0.585608 loss_dfl: 0.491073 loss: 2.213120 eta: 1 day, 19:46:44 batch_cost: 0.9567 data_cost: 0.0118 ips: 41.8085 images/s
[07/27 17:20:41] ppdet.engine INFO: Epoch: [109] [140/732] learning_rate: 0.136439 loss_vfl: 1.136464 loss_bbox: 0.581551 loss_dfl: 0.475669 loss: 2.154929 eta: 1 day, 19:46:20 batch_cost: 1.0859 data_cost: 0.0062 ips: 36.8348 images/s
[07/27 17:21:06] ppdet.engine INFO: Epoch: [109] [160/732] learning_rate: 0.136411 loss_vfl: 1.129272 loss_bbox: 0.593671 loss_dfl: 0.484393 loss: 2.205899 eta: 1 day, 19:45:55 batch_cost: 1.0557 data_cost: 0.0039 ips: 37.8880 images/s
[07/27 17:21:32] ppdet.engine INFO: Epoch: [109] [180/732] learning_rate: 0.136382 loss_vfl: 1.094606 loss_bbox: 0.561688 loss_dfl: 0.466184 loss: 2.124763 eta: 1 day, 19:45:27 batch_cost: 0.9671 data_cost: 0.0060 ips: 41.3596 images/s
[07/27 17:21:58] ppdet.engine INFO: Epoch: [109] [200/732] learning_rate: 0.136354 loss_vfl: 1.086659 loss_bbox: 0.563960 loss_dfl: 0.466910 loss: 2.132710 eta: 1 day, 19:44:59 batch_cost: 0.9712 data_cost: 0.0019 ips: 41.1858 images/s
[07/27 17:22:23] ppdet.engine INFO: Epoch: [109] [220/732] learning_rate: 0.136326 loss_vfl: 1.152436 loss_bbox: 0.598292 loss_dfl: 0.504111 loss: 2.251631 eta: 1 day, 19:44:30 batch_cost: 0.9404 data_cost: 0.0093 ips: 42.5362 images/s
[07/27 17:22:49] ppdet.engine INFO: Epoch: [109] [240/732] learning_rate: 0.136298 loss_vfl: 1.129221 loss_bbox: 0.560875 loss_dfl: 0.471693 loss: 2.167727 eta: 1 day, 19:44:02 batch_cost: 0.9898 data_cost: 0.0131 ips: 40.4120 images/s
[07/27 17:23:16] ppdet.engine INFO: Epoch: [109] [260/732] learning_rate: 0.136270 loss_vfl: 1.130427 loss_bbox: 0.597538 loss_dfl: 0.489913 loss: 2.221072 eta: 1 day, 19:43:36 batch_cost: 1.0329 data_cost: 0.0038 ips: 38.7247 images/s
[07/27 17:23:43] ppdet.engine INFO: Epoch: [109] [280/732] learning_rate: 0.136242 loss_vfl: 1.094348 loss_bbox: 0.576880 loss_dfl: 0.477318 loss: 2.159676 eta: 1 day, 19:43:09 batch_cost: 0.9950 data_cost: 0.0052 ips: 40.2010 images/s
[07/27 17:24:10] ppdet.engine INFO: Epoch: [109] [300/732] learning_rate: 0.136214 loss_vfl: 1.127851 loss_bbox: 0.589375 loss_dfl: 0.482883 loss: 2.184864 eta: 1 day, 19:42:44 batch_cost: 1.0441 data_cost: 0.0096 ips: 38.3116 images/s
[07/27 17:24:35] ppdet.engine INFO: Epoch: [109] [320/732] learning_rate: 0.136186 loss_vfl: 1.107168 loss_bbox: 0.577726 loss_dfl: 0.474987 loss: 2.163280 eta: 1 day, 19:42:16 batch_cost: 0.9850 data_cost: 0.0084 ips: 40.6090 images/s
[07/27 17:25:01] ppdet.engine INFO: Epoch: [109] [340/732] learning_rate: 0.136158 loss_vfl: 1.129675 loss_bbox: 0.585547 loss_dfl: 0.483318 loss: 2.173894 eta: 1 day, 19:41:52 batch_cost: 1.0936 data_cost: 0.0089 ips: 36.5775 images/s
[07/27 17:25:29] ppdet.engine INFO: Epoch: [109] [360/732] learning_rate: 0.136130 loss_vfl: 1.079209 loss_bbox: 0.573028 loss_dfl: 0.468397 loss: 2.123861 eta: 1 day, 19:41:30 batch_cost: 1.1453 data_cost: 0.0056 ips: 34.9238 images/s
[07/27 17:25:55] ppdet.engine INFO: Epoch: [109] [380/732] learning_rate: 0.136102 loss_vfl: 1.151547 loss_bbox: 0.604002 loss_dfl: 0.503270 loss: 2.246933 eta: 1 day, 19:41:05 batch_cost: 1.0363 data_cost: 0.0079 ips: 38.5992 images/s
[07/27 17:26:21] ppdet.engine INFO: Epoch: [109] [400/732] learning_rate: 0.136074 loss_vfl: 1.134792 loss_bbox: 0.591649 loss_dfl: 0.489380 loss: 2.210882 eta: 1 day, 19:40:39 batch_cost: 1.0354 data_cost: 0.0032 ips: 38.6323 images/s
[07/27 17:26:48] ppdet.engine INFO: Epoch: [109] [420/732] learning_rate: 0.136046 loss_vfl: 1.122962 loss_bbox: 0.585695 loss_dfl: 0.482619 loss: 2.212687 eta: 1 day, 19:40:16 batch_cost: 1.1271 data_cost: 0.0105 ips: 35.4897 images/s
[07/27 17:27:15] ppdet.engine INFO: Epoch: [109] [440/732] learning_rate: 0.136018 loss_vfl: 1.115308 loss_bbox: 0.558652 loss_dfl: 0.472671 loss: 2.154016 eta: 1 day, 19:39:52 batch_cost: 1.0656 data_cost: 0.0025 ips: 37.5392 images/s
[07/27 17:27:40] ppdet.engine INFO: Epoch: [109] [460/732] learning_rate: 0.135990 loss_vfl: 1.166011 loss_bbox: 0.576373 loss_dfl: 0.487657 loss: 2.224245 eta: 1 day, 19:39:25 batch_cost: 1.0148 data_cost: 0.0052 ips: 39.4173 images/s
[07/27 17:28:06] ppdet.engine INFO: Epoch: [109] [480/732] learning_rate: 0.135962 loss_vfl: 1.137718 loss_bbox: 0.588587 loss_dfl: 0.493819 loss: 2.205330 eta: 1 day, 19:38:58 batch_cost: 0.9989 data_cost: 0.0051 ips: 40.0426 images/s
[07/27 17:28:32] ppdet.engine INFO: Epoch: [109] [500/732] learning_rate: 0.135934 loss_vfl: 1.160706 loss_bbox: 0.613721 loss_dfl: 0.500188 loss: 2.279476 eta: 1 day, 19:38:29 batch_cost: 0.9451 data_cost: 0.0096 ips: 42.3256 images/s
[07/27 17:29:00] ppdet.engine INFO: Epoch: [109] [520/732] learning_rate: 0.135906 loss_vfl: 1.142216 loss_bbox: 0.573121 loss_dfl: 0.474053 loss: 2.173802 eta: 1 day, 19:38:06 batch_cost: 1.1140 data_cost: 0.0053 ips: 35.9057 images/s
[07/27 17:29:27] ppdet.engine INFO: Epoch: [109] [540/732] learning_rate: 0.135877 loss_vfl: 1.148464 loss_bbox: 0.589086 loss_dfl: 0.495313 loss: 2.266906 eta: 1 day, 19:37:42 batch_cost: 1.0894 data_cost: 0.0116 ips: 36.7174 images/s
[07/27 17:29:53] ppdet.engine INFO: Epoch: [109] [560/732] learning_rate: 0.135849 loss_vfl: 1.109721 loss_bbox: 0.565980 loss_dfl: 0.467196 loss: 2.136484 eta: 1 day, 19:37:18 batch_cost: 1.0638 data_cost: 0.0059 ips: 37.6021 images/s
[07/27 17:30:20] ppdet.engine INFO: Epoch: [109] [580/732] learning_rate: 0.135821 loss_vfl: 1.099171 loss_bbox: 0.569775 loss_dfl: 0.473080 loss: 2.132237 eta: 1 day, 19:36:53 batch_cost: 1.0717 data_cost: 0.0087 ips: 37.3229 images/s
[07/27 17:30:45] ppdet.engine INFO: Epoch: [109] [600/732] learning_rate: 0.135793 loss_vfl: 1.125579 loss_bbox: 0.580397 loss_dfl: 0.479698 loss: 2.184330 eta: 1 day, 19:36:23 batch_cost: 0.9229 data_cost: 0.0062 ips: 43.3406 images/s
[07/27 17:31:09] ppdet.engine INFO: Epoch: [109] [620/732] learning_rate: 0.135765 loss_vfl: 1.091940 loss_bbox: 0.561919 loss_dfl: 0.467829 loss: 2.115203 eta: 1 day, 19:35:54 batch_cost: 0.9333 data_cost: 0.0060 ips: 42.8591 images/s
[07/27 17:31:36] ppdet.engine INFO: Epoch: [109] [640/732] learning_rate: 0.135737 loss_vfl: 1.079543 loss_bbox: 0.590397 loss_dfl: 0.474665 loss: 2.145588 eta: 1 day, 19:35:27 batch_cost: 1.0019 data_cost: 0.0062 ips: 39.9259 images/s
[07/27 17:32:00] ppdet.engine INFO: Epoch: [109] [660/732] learning_rate: 0.135709 loss_vfl: 1.132744 loss_bbox: 0.607863 loss_dfl: 0.491892 loss: 2.239013 eta: 1 day, 19:34:59 batch_cost: 0.9738 data_cost: 0.0082 ips: 41.0779 images/s
[07/27 17:32:28] ppdet.engine INFO: Epoch: [109] [680/732] learning_rate: 0.135681 loss_vfl: 1.109071 loss_bbox: 0.580508 loss_dfl: 0.474012 loss: 2.154430 eta: 1 day, 19:34:38 batch_cost: 1.1691 data_cost: 0.0537 ips: 34.2130 images/s
[07/27 17:32:53] ppdet.engine INFO: Epoch: [109] [700/732] learning_rate: 0.135653 loss_vfl: 1.087207 loss_bbox: 0.574611 loss_dfl: 0.470972 loss: 2.114699 eta: 1 day, 19:34:09 batch_cost: 0.9440 data_cost: 0.0094 ips: 42.3721 images/s
[07/27 17:33:19] ppdet.engine INFO: Epoch: [109] [720/732] learning_rate: 0.135625 loss_vfl: 1.132832 loss_bbox: 0.597694 loss_dfl: 0.487023 loss: 2.186534 eta: 1 day, 19:33:42 batch_cost: 0.9843 data_cost: 0.0046 ips: 40.6372 images/s
[07/27 17:33:28] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 17:33:29] ppdet.engine INFO: Eval iter: 0
[07/27 17:33:50] ppdet.engine INFO: Eval iter: 100
[07/27 17:34:01] ppdet.engine INFO: Eval iter: 200
[07/27 17:34:11] ppdet.engine INFO: Eval iter: 300
[07/27 17:34:22] ppdet.engine INFO: Eval iter: 400
[07/27 17:34:32] ppdet.engine INFO: Eval iter: 500
[07/27 17:34:43] ppdet.engine INFO: Eval iter: 600
[07/27 17:34:59] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.68s)
creating index...
index created!
[07/27 17:35:00] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.79s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.49s).
Accumulating evaluation results...
DONE (t=19.53s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.250
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.378
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.265
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.100
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.262
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.385
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.248
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.408
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.436
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.179
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.482
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.659
[07/27 17:37:07] ppdet.engine INFO: Total sample number: 4952, averge FPS: 64.14114502742359
[07/27 17:37:07] ppdet.engine INFO: Best test bbox ap is 0.250.
[07/27 17:37:07] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 17:37:08] ppdet.engine INFO: Epoch: [110] [  0/732] learning_rate: 0.135608 loss_vfl: 1.080765 loss_bbox: 0.571457 loss_dfl: 0.471734 loss: 2.143287 eta: 1 day, 19:33:16 batch_cost: 0.6958 data_cost: 0.0029 ips: 57.4899 images/s
[07/27 17:37:33] ppdet.engine INFO: Epoch: [110] [ 20/732] learning_rate: 0.135580 loss_vfl: 1.144551 loss_bbox: 0.588509 loss_dfl: 0.486948 loss: 2.237919 eta: 1 day, 19:32:48 batch_cost: 0.9789 data_cost: 0.0091 ips: 40.8625 images/s
[07/27 17:37:58] ppdet.engine INFO: Epoch: [110] [ 40/732] learning_rate: 0.135552 loss_vfl: 1.168126 loss_bbox: 0.617309 loss_dfl: 0.502864 loss: 2.266525 eta: 1 day, 19:32:21 batch_cost: 0.9852 data_cost: 0.0050 ips: 40.6029 images/s
[07/27 17:38:26] ppdet.engine INFO: Epoch: [110] [ 60/732] learning_rate: 0.135523 loss_vfl: 1.143424 loss_bbox: 0.588711 loss_dfl: 0.486899 loss: 2.226863 eta: 1 day, 19:31:57 batch_cost: 1.0881 data_cost: 0.0025 ips: 36.7600 images/s
[07/27 17:38:51] ppdet.engine INFO: Epoch: [110] [ 80/732] learning_rate: 0.135495 loss_vfl: 1.098653 loss_bbox: 0.575092 loss_dfl: 0.471747 loss: 2.152154 eta: 1 day, 19:31:31 batch_cost: 1.0247 data_cost: 0.0114 ips: 39.0356 images/s
[07/27 17:39:17] ppdet.engine INFO: Epoch: [110] [100/732] learning_rate: 0.135467 loss_vfl: 1.081318 loss_bbox: 0.551018 loss_dfl: 0.452763 loss: 2.072248 eta: 1 day, 19:31:07 batch_cost: 1.0831 data_cost: 0.1337 ips: 36.9306 images/s
[07/27 17:39:46] ppdet.engine INFO: Epoch: [110] [120/732] learning_rate: 0.135439 loss_vfl: 1.107927 loss_bbox: 0.592104 loss_dfl: 0.480248 loss: 2.173823 eta: 1 day, 19:30:45 batch_cost: 1.1646 data_cost: 0.0042 ips: 34.3470 images/s
[07/27 17:40:12] ppdet.engine INFO: Epoch: [110] [140/732] learning_rate: 0.135411 loss_vfl: 1.094607 loss_bbox: 0.551253 loss_dfl: 0.464339 loss: 2.102661 eta: 1 day, 19:30:21 batch_cost: 1.0605 data_cost: 0.0054 ips: 37.7191 images/s
[07/27 17:40:39] ppdet.engine INFO: Epoch: [110] [160/732] learning_rate: 0.135383 loss_vfl: 1.090516 loss_bbox: 0.563210 loss_dfl: 0.478612 loss: 2.150365 eta: 1 day, 19:29:55 batch_cost: 1.0420 data_cost: 0.0081 ips: 38.3866 images/s
[07/27 17:41:06] ppdet.engine INFO: Epoch: [110] [180/732] learning_rate: 0.135355 loss_vfl: 1.069427 loss_bbox: 0.554355 loss_dfl: 0.458468 loss: 2.083689 eta: 1 day, 19:29:27 batch_cost: 0.9801 data_cost: 0.0047 ips: 40.8106 images/s
[07/27 17:41:33] ppdet.engine INFO: Epoch: [110] [200/732] learning_rate: 0.135327 loss_vfl: 1.097456 loss_bbox: 0.571216 loss_dfl: 0.467164 loss: 2.135838 eta: 1 day, 19:29:04 batch_cost: 1.0881 data_cost: 0.0070 ips: 36.7613 images/s
[07/27 17:42:00] ppdet.engine INFO: Epoch: [110] [220/732] learning_rate: 0.135298 loss_vfl: 1.097536 loss_bbox: 0.567110 loss_dfl: 0.461403 loss: 2.131249 eta: 1 day, 19:28:43 batch_cost: 1.1841 data_cost: 0.0047 ips: 33.7797 images/s
[07/27 17:42:26] ppdet.engine INFO: Epoch: [110] [240/732] learning_rate: 0.135270 loss_vfl: 1.142081 loss_bbox: 0.578278 loss_dfl: 0.484810 loss: 2.201011 eta: 1 day, 19:28:19 batch_cost: 1.0802 data_cost: 0.0043 ips: 37.0304 images/s
[07/27 17:42:53] ppdet.engine INFO: Epoch: [110] [260/732] learning_rate: 0.135242 loss_vfl: 1.079740 loss_bbox: 0.565973 loss_dfl: 0.462936 loss: 2.106738 eta: 1 day, 19:27:54 batch_cost: 1.0546 data_cost: 0.0085 ips: 37.9280 images/s
[07/27 17:43:18] ppdet.engine INFO: Epoch: [110] [280/732] learning_rate: 0.135214 loss_vfl: 1.148287 loss_bbox: 0.590222 loss_dfl: 0.497186 loss: 2.234154 eta: 1 day, 19:27:27 batch_cost: 1.0147 data_cost: 0.0107 ips: 39.4197 images/s
[07/27 17:43:48] ppdet.engine INFO: Epoch: [110] [300/732] learning_rate: 0.135186 loss_vfl: 1.099438 loss_bbox: 0.564174 loss_dfl: 0.465882 loss: 2.156338 eta: 1 day, 19:27:09 batch_cost: 1.2433 data_cost: 0.0072 ips: 32.1718 images/s
[07/27 17:44:12] ppdet.engine INFO: Epoch: [110] [320/732] learning_rate: 0.135158 loss_vfl: 1.110577 loss_bbox: 0.596307 loss_dfl: 0.476732 loss: 2.160458 eta: 1 day, 19:26:40 batch_cost: 0.9485 data_cost: 0.0078 ips: 42.1729 images/s
[07/27 17:44:38] ppdet.engine INFO: Epoch: [110] [340/732] learning_rate: 0.135130 loss_vfl: 1.082017 loss_bbox: 0.585870 loss_dfl: 0.476307 loss: 2.144291 eta: 1 day, 19:26:15 batch_cost: 1.0410 data_cost: 0.0096 ips: 38.4250 images/s
[07/27 17:45:07] ppdet.engine INFO: Epoch: [110] [360/732] learning_rate: 0.135101 loss_vfl: 1.133092 loss_bbox: 0.567942 loss_dfl: 0.474223 loss: 2.192023 eta: 1 day, 19:25:53 batch_cost: 1.1448 data_cost: 0.0175 ips: 34.9393 images/s
[07/27 17:45:36] ppdet.engine INFO: Epoch: [110] [380/732] learning_rate: 0.135073 loss_vfl: 1.131737 loss_bbox: 0.582947 loss_dfl: 0.486084 loss: 2.202629 eta: 1 day, 19:25:32 batch_cost: 1.1841 data_cost: 0.0114 ips: 33.7796 images/s
[07/27 17:46:03] ppdet.engine INFO: Epoch: [110] [400/732] learning_rate: 0.135045 loss_vfl: 1.163307 loss_bbox: 0.609395 loss_dfl: 0.502406 loss: 2.303485 eta: 1 day, 19:25:10 batch_cost: 1.1466 data_cost: 0.0062 ips: 34.8844 images/s
[07/27 17:46:30] ppdet.engine INFO: Epoch: [110] [420/732] learning_rate: 0.135017 loss_vfl: 1.100488 loss_bbox: 0.566698 loss_dfl: 0.474509 loss: 2.147521 eta: 1 day, 19:24:46 batch_cost: 1.0916 data_cost: 0.0048 ips: 36.6422 images/s
[07/27 17:46:58] ppdet.engine INFO: Epoch: [110] [440/732] learning_rate: 0.134989 loss_vfl: 1.123274 loss_bbox: 0.577518 loss_dfl: 0.476962 loss: 2.190749 eta: 1 day, 19:24:24 batch_cost: 1.1358 data_cost: 0.0030 ips: 35.2168 images/s
[07/27 17:47:23] ppdet.engine INFO: Epoch: [110] [460/732] learning_rate: 0.134961 loss_vfl: 1.094678 loss_bbox: 0.569148 loss_dfl: 0.477146 loss: 2.131419 eta: 1 day, 19:23:59 batch_cost: 1.0550 data_cost: 0.0075 ips: 37.9163 images/s
[07/27 17:47:51] ppdet.engine INFO: Epoch: [110] [480/732] learning_rate: 0.134932 loss_vfl: 1.112432 loss_bbox: 0.567094 loss_dfl: 0.476350 loss: 2.170193 eta: 1 day, 19:23:40 batch_cost: 1.2213 data_cost: 0.0054 ips: 32.7528 images/s
[07/27 17:48:18] ppdet.engine INFO: Epoch: [110] [500/732] learning_rate: 0.134904 loss_vfl: 1.140047 loss_bbox: 0.592361 loss_dfl: 0.501563 loss: 2.239633 eta: 1 day, 19:23:18 batch_cost: 1.1437 data_cost: 0.0079 ips: 34.9749 images/s
[07/27 17:48:45] ppdet.engine INFO: Epoch: [110] [520/732] learning_rate: 0.134876 loss_vfl: 1.121208 loss_bbox: 0.582017 loss_dfl: 0.477017 loss: 2.147467 eta: 1 day, 19:22:52 batch_cost: 1.0191 data_cost: 0.0086 ips: 39.2511 images/s
[07/27 17:49:11] ppdet.engine INFO: Epoch: [110] [540/732] learning_rate: 0.134848 loss_vfl: 1.119037 loss_bbox: 0.566861 loss_dfl: 0.474217 loss: 2.175343 eta: 1 day, 19:22:29 batch_cost: 1.1204 data_cost: 0.0104 ips: 35.7021 images/s
[07/27 17:49:36] ppdet.engine INFO: Epoch: [110] [560/732] learning_rate: 0.134820 loss_vfl: 1.150702 loss_bbox: 0.615029 loss_dfl: 0.504148 loss: 2.268699 eta: 1 day, 19:22:01 batch_cost: 0.9851 data_cost: 0.0070 ips: 40.6066 images/s
[07/27 17:50:03] ppdet.engine INFO: Epoch: [110] [580/732] learning_rate: 0.134791 loss_vfl: 1.090171 loss_bbox: 0.578001 loss_dfl: 0.472421 loss: 2.127333 eta: 1 day, 19:21:38 batch_cost: 1.1078 data_cost: 0.0105 ips: 36.1069 images/s
[07/27 17:50:29] ppdet.engine INFO: Epoch: [110] [600/732] learning_rate: 0.134763 loss_vfl: 1.097047 loss_bbox: 0.544851 loss_dfl: 0.458693 loss: 2.100360 eta: 1 day, 19:21:12 batch_cost: 1.0044 data_cost: 0.0102 ips: 39.8264 images/s
[07/27 17:50:55] ppdet.engine INFO: Epoch: [110] [620/732] learning_rate: 0.134735 loss_vfl: 1.131337 loss_bbox: 0.570953 loss_dfl: 0.475278 loss: 2.166664 eta: 1 day, 19:20:48 batch_cost: 1.1022 data_cost: 0.0062 ips: 36.2907 images/s
[07/27 17:51:21] ppdet.engine INFO: Epoch: [110] [640/732] learning_rate: 0.134707 loss_vfl: 1.066659 loss_bbox: 0.566276 loss_dfl: 0.469348 loss: 2.105605 eta: 1 day, 19:20:23 batch_cost: 1.0381 data_cost: 0.0081 ips: 38.5326 images/s
[07/27 17:51:48] ppdet.engine INFO: Epoch: [110] [660/732] learning_rate: 0.134679 loss_vfl: 1.105458 loss_bbox: 0.579445 loss_dfl: 0.480520 loss: 2.143078 eta: 1 day, 19:20:01 batch_cost: 1.1530 data_cost: 0.0080 ips: 34.6928 images/s
[07/27 17:52:14] ppdet.engine INFO: Epoch: [110] [680/732] learning_rate: 0.134650 loss_vfl: 1.129418 loss_bbox: 0.568714 loss_dfl: 0.469242 loss: 2.160847 eta: 1 day, 19:19:36 batch_cost: 1.0529 data_cost: 0.0095 ips: 37.9891 images/s
[07/27 17:52:40] ppdet.engine INFO: Epoch: [110] [700/732] learning_rate: 0.134622 loss_vfl: 1.153826 loss_bbox: 0.594383 loss_dfl: 0.490033 loss: 2.239112 eta: 1 day, 19:19:09 batch_cost: 1.0067 data_cost: 0.0073 ips: 39.7330 images/s
[07/27 17:53:06] ppdet.engine INFO: Epoch: [110] [720/732] learning_rate: 0.134594 loss_vfl: 1.098200 loss_bbox: 0.574222 loss_dfl: 0.478221 loss: 2.168659 eta: 1 day, 19:18:45 batch_cost: 1.0767 data_cost: 0.0021 ips: 37.1518 images/s
[07/27 17:53:26] ppdet.engine INFO: Epoch: [111] [  0/732] learning_rate: 0.134577 loss_vfl: 1.106607 loss_bbox: 0.576959 loss_dfl: 0.480003 loss: 2.162123 eta: 1 day, 19:18:38 batch_cost: 1.3473 data_cost: 0.4914 ips: 29.6901 images/s
[07/27 17:53:55] ppdet.engine INFO: Epoch: [111] [ 20/732] learning_rate: 0.134549 loss_vfl: 1.124660 loss_bbox: 0.579682 loss_dfl: 0.481997 loss: 2.186938 eta: 1 day, 19:18:17 batch_cost: 1.1684 data_cost: 0.0068 ips: 34.2353 images/s
[07/27 17:54:20] ppdet.engine INFO: Epoch: [111] [ 40/732] learning_rate: 0.134521 loss_vfl: 1.122507 loss_bbox: 0.558369 loss_dfl: 0.469845 loss: 2.131729 eta: 1 day, 19:17:52 batch_cost: 1.0574 data_cost: 0.0070 ips: 37.8295 images/s
[07/27 17:54:46] ppdet.engine INFO: Epoch: [111] [ 60/732] learning_rate: 0.134493 loss_vfl: 1.106875 loss_bbox: 0.579202 loss_dfl: 0.474898 loss: 2.168992 eta: 1 day, 19:17:26 batch_cost: 1.0354 data_cost: 0.0037 ips: 38.6312 images/s
[07/27 17:55:13] ppdet.engine INFO: Epoch: [111] [ 80/732] learning_rate: 0.134464 loss_vfl: 1.075964 loss_bbox: 0.561730 loss_dfl: 0.458126 loss: 2.090810 eta: 1 day, 19:17:05 batch_cost: 1.1640 data_cost: 0.0041 ips: 34.3655 images/s
[07/27 17:55:38] ppdet.engine INFO: Epoch: [111] [100/732] learning_rate: 0.134436 loss_vfl: 1.117124 loss_bbox: 0.581231 loss_dfl: 0.484294 loss: 2.187362 eta: 1 day, 19:16:40 batch_cost: 1.0602 data_cost: 0.0020 ips: 37.7275 images/s
[07/27 17:56:05] ppdet.engine INFO: Epoch: [111] [120/732] learning_rate: 0.134408 loss_vfl: 1.107454 loss_bbox: 0.582894 loss_dfl: 0.474641 loss: 2.166230 eta: 1 day, 19:16:17 batch_cost: 1.0981 data_cost: 0.0133 ips: 36.4281 images/s
[07/27 17:56:32] ppdet.engine INFO: Epoch: [111] [140/732] learning_rate: 0.134380 loss_vfl: 1.122551 loss_bbox: 0.582734 loss_dfl: 0.486588 loss: 2.206585 eta: 1 day, 19:15:53 batch_cost: 1.0975 data_cost: 0.0055 ips: 36.4476 images/s
[07/27 17:56:58] ppdet.engine INFO: Epoch: [111] [160/732] learning_rate: 0.134351 loss_vfl: 1.119328 loss_bbox: 0.584380 loss_dfl: 0.480745 loss: 2.189805 eta: 1 day, 19:15:29 batch_cost: 1.0702 data_cost: 0.0094 ips: 37.3751 images/s
[07/27 17:57:23] ppdet.engine INFO: Epoch: [111] [180/732] learning_rate: 0.134323 loss_vfl: 1.184885 loss_bbox: 0.588352 loss_dfl: 0.489705 loss: 2.247126 eta: 1 day, 19:15:03 batch_cost: 1.0398 data_cost: 0.0114 ips: 38.4686 images/s
[07/27 17:57:51] ppdet.engine INFO: Epoch: [111] [200/732] learning_rate: 0.134295 loss_vfl: 1.105563 loss_bbox: 0.590145 loss_dfl: 0.479047 loss: 2.182332 eta: 1 day, 19:14:40 batch_cost: 1.1088 data_cost: 0.1400 ips: 36.0765 images/s
[07/27 17:58:17] ppdet.engine INFO: Epoch: [111] [220/732] learning_rate: 0.134267 loss_vfl: 1.120555 loss_bbox: 0.571256 loss_dfl: 0.470005 loss: 2.161330 eta: 1 day, 19:14:17 batch_cost: 1.1078 data_cost: 0.1034 ips: 36.1081 images/s
[07/27 17:58:45] ppdet.engine INFO: Epoch: [111] [240/732] learning_rate: 0.134238 loss_vfl: 1.153180 loss_bbox: 0.591289 loss_dfl: 0.501660 loss: 2.268850 eta: 1 day, 19:13:56 batch_cost: 1.1645 data_cost: 0.0111 ips: 34.3481 images/s
[07/27 17:59:11] ppdet.engine INFO: Epoch: [111] [260/732] learning_rate: 0.134210 loss_vfl: 1.105452 loss_bbox: 0.573774 loss_dfl: 0.470541 loss: 2.155592 eta: 1 day, 19:13:29 batch_cost: 0.9979 data_cost: 0.0045 ips: 40.0843 images/s
[07/27 17:59:37] ppdet.engine INFO: Epoch: [111] [280/732] learning_rate: 0.134182 loss_vfl: 1.151008 loss_bbox: 0.589113 loss_dfl: 0.477446 loss: 2.233245 eta: 1 day, 19:13:06 batch_cost: 1.1074 data_cost: 0.0030 ips: 36.1192 images/s
[07/27 18:00:03] ppdet.engine INFO: Epoch: [111] [300/732] learning_rate: 0.134154 loss_vfl: 1.154635 loss_bbox: 0.590896 loss_dfl: 0.484585 loss: 2.245284 eta: 1 day, 19:12:41 batch_cost: 1.0512 data_cost: 0.0090 ips: 38.0529 images/s
[07/27 18:00:29] ppdet.engine INFO: Epoch: [111] [320/732] learning_rate: 0.134125 loss_vfl: 1.109131 loss_bbox: 0.578398 loss_dfl: 0.471948 loss: 2.174930 eta: 1 day, 19:12:16 batch_cost: 1.0640 data_cost: 0.0118 ips: 37.5933 images/s
[07/27 18:00:57] ppdet.engine INFO: Epoch: [111] [340/732] learning_rate: 0.134097 loss_vfl: 1.158576 loss_bbox: 0.606084 loss_dfl: 0.501484 loss: 2.258697 eta: 1 day, 19:11:55 batch_cost: 1.1743 data_cost: 0.0027 ips: 34.0626 images/s
[07/27 18:01:24] ppdet.engine INFO: Epoch: [111] [360/732] learning_rate: 0.134069 loss_vfl: 1.175692 loss_bbox: 0.616075 loss_dfl: 0.506018 loss: 2.282258 eta: 1 day, 19:11:30 batch_cost: 1.0697 data_cost: 0.0039 ips: 37.3953 images/s
[07/27 18:01:50] ppdet.engine INFO: Epoch: [111] [380/732] learning_rate: 0.134041 loss_vfl: 1.142004 loss_bbox: 0.579081 loss_dfl: 0.490749 loss: 2.227439 eta: 1 day, 19:11:08 batch_cost: 1.1359 data_cost: 0.0107 ips: 35.2159 images/s
[07/27 18:02:17] ppdet.engine INFO: Epoch: [111] [400/732] learning_rate: 0.134012 loss_vfl: 1.113165 loss_bbox: 0.582298 loss_dfl: 0.480559 loss: 2.168057 eta: 1 day, 19:10:46 batch_cost: 1.1440 data_cost: 0.0058 ips: 34.9642 images/s
[07/27 18:02:42] ppdet.engine INFO: Epoch: [111] [420/732] learning_rate: 0.133984 loss_vfl: 1.110479 loss_bbox: 0.563016 loss_dfl: 0.463330 loss: 2.127514 eta: 1 day, 19:10:20 batch_cost: 1.0301 data_cost: 0.0042 ips: 38.8325 images/s
[07/27 18:03:06] ppdet.engine INFO: Epoch: [111] [440/732] learning_rate: 0.133956 loss_vfl: 1.132709 loss_bbox: 0.569621 loss_dfl: 0.471363 loss: 2.170638 eta: 1 day, 19:09:53 batch_cost: 0.9707 data_cost: 0.0083 ips: 41.2068 images/s
[07/27 18:03:35] ppdet.engine INFO: Epoch: [111] [460/732] learning_rate: 0.133928 loss_vfl: 1.083138 loss_bbox: 0.547937 loss_dfl: 0.458596 loss: 2.098596 eta: 1 day, 19:09:34 batch_cost: 1.2409 data_cost: 0.0072 ips: 32.2355 images/s
[07/27 18:04:00] ppdet.engine INFO: Epoch: [111] [480/732] learning_rate: 0.133899 loss_vfl: 1.142723 loss_bbox: 0.599732 loss_dfl: 0.488534 loss: 2.232616 eta: 1 day, 19:09:07 batch_cost: 1.0077 data_cost: 0.0060 ips: 39.6925 images/s
[07/27 18:04:25] ppdet.engine INFO: Epoch: [111] [500/732] learning_rate: 0.133871 loss_vfl: 1.143728 loss_bbox: 0.604656 loss_dfl: 0.500481 loss: 2.226672 eta: 1 day, 19:08:42 batch_cost: 1.0344 data_cost: 0.0109 ips: 38.6696 images/s
[07/27 18:04:51] ppdet.engine INFO: Epoch: [111] [520/732] learning_rate: 0.133843 loss_vfl: 1.140625 loss_bbox: 0.581254 loss_dfl: 0.495807 loss: 2.247725 eta: 1 day, 19:08:19 batch_cost: 1.1284 data_cost: 0.0101 ips: 35.4487 images/s
[07/27 18:05:19] ppdet.engine INFO: Epoch: [111] [540/732] learning_rate: 0.133815 loss_vfl: 1.151006 loss_bbox: 0.588776 loss_dfl: 0.487067 loss: 2.223535 eta: 1 day, 19:07:59 batch_cost: 1.2065 data_cost: 0.0148 ips: 33.1539 images/s
[07/27 18:05:47] ppdet.engine INFO: Epoch: [111] [560/732] learning_rate: 0.133786 loss_vfl: 1.120774 loss_bbox: 0.573417 loss_dfl: 0.480519 loss: 2.185874 eta: 1 day, 19:07:41 batch_cost: 1.2490 data_cost: 0.0067 ips: 32.0265 images/s
[07/27 18:06:14] ppdet.engine INFO: Epoch: [111] [580/732] learning_rate: 0.133758 loss_vfl: 1.084064 loss_bbox: 0.565661 loss_dfl: 0.472132 loss: 2.118270 eta: 1 day, 19:07:18 batch_cost: 1.1190 data_cost: 0.0082 ips: 35.7457 images/s
[07/27 18:06:40] ppdet.engine INFO: Epoch: [111] [600/732] learning_rate: 0.133730 loss_vfl: 1.096299 loss_bbox: 0.556846 loss_dfl: 0.465135 loss: 2.086794 eta: 1 day, 19:06:54 batch_cost: 1.0704 data_cost: 0.0090 ips: 37.3676 images/s
[07/27 18:07:07] ppdet.engine INFO: Epoch: [111] [620/732] learning_rate: 0.133701 loss_vfl: 1.124936 loss_bbox: 0.597556 loss_dfl: 0.485017 loss: 2.201597 eta: 1 day, 19:06:31 batch_cost: 1.1153 data_cost: 0.0068 ips: 35.8655 images/s
[07/27 18:07:34] ppdet.engine INFO: Epoch: [111] [640/732] learning_rate: 0.133673 loss_vfl: 1.132118 loss_bbox: 0.595007 loss_dfl: 0.488821 loss: 2.209538 eta: 1 day, 19:06:08 batch_cost: 1.1181 data_cost: 0.0029 ips: 35.7759 images/s
[07/27 18:08:00] ppdet.engine INFO: Epoch: [111] [660/732] learning_rate: 0.133645 loss_vfl: 1.105931 loss_bbox: 0.570755 loss_dfl: 0.471649 loss: 2.170693 eta: 1 day, 19:05:45 batch_cost: 1.1133 data_cost: 0.0041 ips: 35.9286 images/s
[07/27 18:08:28] ppdet.engine INFO: Epoch: [111] [680/732] learning_rate: 0.133616 loss_vfl: 1.139337 loss_bbox: 0.575605 loss_dfl: 0.485769 loss: 2.211509 eta: 1 day, 19:05:24 batch_cost: 1.1730 data_cost: 0.0102 ips: 34.1011 images/s
[07/27 18:08:55] ppdet.engine INFO: Epoch: [111] [700/732] learning_rate: 0.133588 loss_vfl: 1.109523 loss_bbox: 0.574822 loss_dfl: 0.477709 loss: 2.168358 eta: 1 day, 19:05:02 batch_cost: 1.1317 data_cost: 0.0030 ips: 35.3446 images/s
[07/27 18:09:21] ppdet.engine INFO: Epoch: [111] [720/732] learning_rate: 0.133560 loss_vfl: 1.104850 loss_bbox: 0.570459 loss_dfl: 0.465026 loss: 2.134653 eta: 1 day, 19:04:39 batch_cost: 1.1134 data_cost: 0.0029 ips: 35.9248 images/s
[07/27 18:09:39] ppdet.engine INFO: Epoch: [112] [  0/732] learning_rate: 0.133543 loss_vfl: 1.059723 loss_bbox: 0.547814 loss_dfl: 0.461079 loss: 2.068182 eta: 1 day, 19:04:29 batch_cost: 1.2328 data_cost: 0.4078 ips: 32.4466 images/s
[07/27 18:10:06] ppdet.engine INFO: Epoch: [112] [ 20/732] learning_rate: 0.133515 loss_vfl: 1.091196 loss_bbox: 0.580081 loss_dfl: 0.478389 loss: 2.158860 eta: 1 day, 19:04:03 batch_cost: 1.0260 data_cost: 0.0036 ips: 38.9865 images/s
[07/27 18:10:39] ppdet.engine INFO: Epoch: [112] [ 40/732] learning_rate: 0.133486 loss_vfl: 1.114331 loss_bbox: 0.582814 loss_dfl: 0.475625 loss: 2.174363 eta: 1 day, 19:03:49 batch_cost: 1.3855 data_cost: 0.3469 ips: 28.8694 images/s
[07/27 18:11:06] ppdet.engine INFO: Epoch: [112] [ 60/732] learning_rate: 0.133458 loss_vfl: 1.154969 loss_bbox: 0.587958 loss_dfl: 0.485189 loss: 2.214153 eta: 1 day, 19:03:24 batch_cost: 1.0579 data_cost: 0.0086 ips: 37.8105 images/s
[07/27 18:11:30] ppdet.engine INFO: Epoch: [112] [ 80/732] learning_rate: 0.133430 loss_vfl: 1.112553 loss_bbox: 0.582266 loss_dfl: 0.481618 loss: 2.201792 eta: 1 day, 19:02:57 batch_cost: 0.9741 data_cost: 0.0077 ips: 41.0638 images/s
[07/27 18:11:59] ppdet.engine INFO: Epoch: [112] [100/732] learning_rate: 0.133401 loss_vfl: 1.067155 loss_bbox: 0.551591 loss_dfl: 0.462381 loss: 2.071598 eta: 1 day, 19:02:36 batch_cost: 1.1670 data_cost: 0.0058 ips: 34.2754 images/s
[07/27 18:12:25] ppdet.engine INFO: Epoch: [112] [120/732] learning_rate: 0.133373 loss_vfl: 1.079969 loss_bbox: 0.556909 loss_dfl: 0.463806 loss: 2.109513 eta: 1 day, 19:02:11 batch_cost: 1.0756 data_cost: 0.0070 ips: 37.1881 images/s
[07/27 18:12:51] ppdet.engine INFO: Epoch: [112] [140/732] learning_rate: 0.133345 loss_vfl: 1.168017 loss_bbox: 0.584419 loss_dfl: 0.488122 loss: 2.250431 eta: 1 day, 19:01:46 batch_cost: 1.0320 data_cost: 0.0141 ips: 38.7581 images/s
[07/27 18:13:17] ppdet.engine INFO: Epoch: [112] [160/732] learning_rate: 0.133316 loss_vfl: 1.114389 loss_bbox: 0.574924 loss_dfl: 0.472680 loss: 2.148425 eta: 1 day, 19:01:21 batch_cost: 1.0523 data_cost: 0.0051 ips: 38.0112 images/s
[07/27 18:13:44] ppdet.engine INFO: Epoch: [112] [180/732] learning_rate: 0.133288 loss_vfl: 1.095431 loss_bbox: 0.580371 loss_dfl: 0.487801 loss: 2.155160 eta: 1 day, 19:00:58 batch_cost: 1.1125 data_cost: 0.0082 ips: 35.9541 images/s
[07/27 18:14:09] ppdet.engine INFO: Epoch: [112] [200/732] learning_rate: 0.133260 loss_vfl: 1.037763 loss_bbox: 0.529412 loss_dfl: 0.442882 loss: 2.004538 eta: 1 day, 19:00:31 batch_cost: 1.0115 data_cost: 0.0078 ips: 39.5470 images/s
[07/27 18:14:37] ppdet.engine INFO: Epoch: [112] [220/732] learning_rate: 0.133231 loss_vfl: 1.095215 loss_bbox: 0.568136 loss_dfl: 0.472094 loss: 2.132189 eta: 1 day, 19:00:09 batch_cost: 1.1484 data_cost: 0.0068 ips: 34.8306 images/s
[07/27 18:15:04] ppdet.engine INFO: Epoch: [112] [240/732] learning_rate: 0.133203 loss_vfl: 1.127144 loss_bbox: 0.620870 loss_dfl: 0.502982 loss: 2.243215 eta: 1 day, 18:59:44 batch_cost: 1.0340 data_cost: 0.0075 ips: 38.6855 images/s
[07/27 18:15:29] ppdet.engine INFO: Epoch: [112] [260/732] learning_rate: 0.133175 loss_vfl: 1.114823 loss_bbox: 0.575090 loss_dfl: 0.475125 loss: 2.156024 eta: 1 day, 18:59:19 batch_cost: 1.0558 data_cost: 0.0122 ips: 37.8854 images/s
[07/27 18:15:55] ppdet.engine INFO: Epoch: [112] [280/732] learning_rate: 0.133146 loss_vfl: 1.159836 loss_bbox: 0.593849 loss_dfl: 0.494104 loss: 2.254584 eta: 1 day, 18:58:54 batch_cost: 1.0658 data_cost: 0.0041 ips: 37.5296 images/s
[07/27 18:16:22] ppdet.engine INFO: Epoch: [112] [300/732] learning_rate: 0.133118 loss_vfl: 1.058861 loss_bbox: 0.560796 loss_dfl: 0.461573 loss: 2.084290 eta: 1 day, 18:58:32 batch_cost: 1.1488 data_cost: 0.0066 ips: 34.8188 images/s
[07/27 18:16:49] ppdet.engine INFO: Epoch: [112] [320/732] learning_rate: 0.133090 loss_vfl: 1.085268 loss_bbox: 0.563920 loss_dfl: 0.466039 loss: 2.100169 eta: 1 day, 18:58:06 batch_cost: 1.0021 data_cost: 0.0059 ips: 39.9178 images/s
[07/27 18:17:15] ppdet.engine INFO: Epoch: [112] [340/732] learning_rate: 0.133061 loss_vfl: 1.043976 loss_bbox: 0.540216 loss_dfl: 0.449569 loss: 2.032207 eta: 1 day, 18:57:41 batch_cost: 1.0461 data_cost: 0.0066 ips: 38.2357 images/s
[07/27 18:17:44] ppdet.engine INFO: Epoch: [112] [360/732] learning_rate: 0.133033 loss_vfl: 1.071038 loss_bbox: 0.551167 loss_dfl: 0.461138 loss: 2.090719 eta: 1 day, 18:57:19 batch_cost: 1.1700 data_cost: 0.0046 ips: 34.1891 images/s
[07/27 18:18:11] ppdet.engine INFO: Epoch: [112] [380/732] learning_rate: 0.133005 loss_vfl: 1.106552 loss_bbox: 0.574625 loss_dfl: 0.486648 loss: 2.173174 eta: 1 day, 18:56:58 batch_cost: 1.1704 data_cost: 0.0075 ips: 34.1773 images/s
[07/27 18:18:38] ppdet.engine INFO: Epoch: [112] [400/732] learning_rate: 0.132976 loss_vfl: 1.042617 loss_bbox: 0.550052 loss_dfl: 0.452780 loss: 2.052639 eta: 1 day, 18:56:35 batch_cost: 1.1126 data_cost: 0.0098 ips: 35.9511 images/s
[07/27 18:19:05] ppdet.engine INFO: Epoch: [112] [420/732] learning_rate: 0.132948 loss_vfl: 1.143409 loss_bbox: 0.590954 loss_dfl: 0.500750 loss: 2.245404 eta: 1 day, 18:56:13 batch_cost: 1.1446 data_cost: 0.0087 ips: 34.9474 images/s
[07/27 18:19:29] ppdet.engine INFO: Epoch: [112] [440/732] learning_rate: 0.132919 loss_vfl: 1.118310 loss_bbox: 0.605870 loss_dfl: 0.485731 loss: 2.211230 eta: 1 day, 18:55:46 batch_cost: 0.9899 data_cost: 0.0059 ips: 40.4092 images/s
[07/27 18:19:58] ppdet.engine INFO: Epoch: [112] [460/732] learning_rate: 0.132891 loss_vfl: 1.103457 loss_bbox: 0.552916 loss_dfl: 0.458610 loss: 2.095757 eta: 1 day, 18:55:29 batch_cost: 1.2855 data_cost: 0.0039 ips: 31.1153 images/s
[07/27 18:20:26] ppdet.engine INFO: Epoch: [112] [480/732] learning_rate: 0.132863 loss_vfl: 1.072533 loss_bbox: 0.563351 loss_dfl: 0.464451 loss: 2.115198 eta: 1 day, 18:55:11 batch_cost: 1.2459 data_cost: 0.0056 ips: 32.1059 images/s
[07/27 18:20:52] ppdet.engine INFO: Epoch: [112] [500/732] learning_rate: 0.132834 loss_vfl: 1.120589 loss_bbox: 0.592722 loss_dfl: 0.485858 loss: 2.189365 eta: 1 day, 18:54:47 batch_cost: 1.1118 data_cost: 0.0113 ips: 35.9766 images/s
[07/27 18:21:18] ppdet.engine INFO: Epoch: [112] [520/732] learning_rate: 0.132806 loss_vfl: 1.124132 loss_bbox: 0.583575 loss_dfl: 0.486273 loss: 2.220375 eta: 1 day, 18:54:24 batch_cost: 1.0890 data_cost: 0.0149 ips: 36.7323 images/s
[07/27 18:21:44] ppdet.engine INFO: Epoch: [112] [540/732] learning_rate: 0.132778 loss_vfl: 1.118105 loss_bbox: 0.585629 loss_dfl: 0.475025 loss: 2.145694 eta: 1 day, 18:54:01 batch_cost: 1.1187 data_cost: 0.0066 ips: 35.7551 images/s
[07/27 18:22:11] ppdet.engine INFO: Epoch: [112] [560/732] learning_rate: 0.132749 loss_vfl: 1.151464 loss_bbox: 0.614580 loss_dfl: 0.503252 loss: 2.270612 eta: 1 day, 18:53:36 batch_cost: 1.0661 data_cost: 0.0076 ips: 37.5184 images/s
[07/27 18:22:36] ppdet.engine INFO: Epoch: [112] [580/732] learning_rate: 0.132721 loss_vfl: 1.110737 loss_bbox: 0.605384 loss_dfl: 0.483323 loss: 2.191599 eta: 1 day, 18:53:09 batch_cost: 0.9895 data_cost: 0.0064 ips: 40.4231 images/s
[07/27 18:23:03] ppdet.engine INFO: Epoch: [112] [600/732] learning_rate: 0.132692 loss_vfl: 1.091524 loss_bbox: 0.560940 loss_dfl: 0.458615 loss: 2.094177 eta: 1 day, 18:52:47 batch_cost: 1.1244 data_cost: 0.0050 ips: 35.5757 images/s
[07/27 18:23:29] ppdet.engine INFO: Epoch: [112] [620/732] learning_rate: 0.132664 loss_vfl: 1.138241 loss_bbox: 0.592371 loss_dfl: 0.483200 loss: 2.211146 eta: 1 day, 18:52:23 batch_cost: 1.0844 data_cost: 0.0046 ips: 36.8854 images/s
[07/27 18:23:56] ppdet.engine INFO: Epoch: [112] [640/732] learning_rate: 0.132636 loss_vfl: 1.128798 loss_bbox: 0.569213 loss_dfl: 0.477622 loss: 2.180532 eta: 1 day, 18:52:02 batch_cost: 1.1676 data_cost: 0.0030 ips: 34.2573 images/s
[07/27 18:24:23] ppdet.engine INFO: Epoch: [112] [660/732] learning_rate: 0.132607 loss_vfl: 1.113502 loss_bbox: 0.588663 loss_dfl: 0.485341 loss: 2.197770 eta: 1 day, 18:51:41 batch_cost: 1.1820 data_cost: 0.0035 ips: 33.8404 images/s
[07/27 18:24:49] ppdet.engine INFO: Epoch: [112] [680/732] learning_rate: 0.132579 loss_vfl: 1.126729 loss_bbox: 0.575815 loss_dfl: 0.471269 loss: 2.149865 eta: 1 day, 18:51:17 batch_cost: 1.0909 data_cost: 0.0078 ips: 36.6669 images/s
[07/27 18:25:15] ppdet.engine INFO: Epoch: [112] [700/732] learning_rate: 0.132551 loss_vfl: 1.113839 loss_bbox: 0.585354 loss_dfl: 0.483617 loss: 2.179838 eta: 1 day, 18:50:55 batch_cost: 1.1402 data_cost: 0.0013 ips: 35.0806 images/s
[07/27 18:25:42] ppdet.engine INFO: Epoch: [112] [720/732] learning_rate: 0.132522 loss_vfl: 1.058559 loss_bbox: 0.570010 loss_dfl: 0.460767 loss: 2.053536 eta: 1 day, 18:50:33 batch_cost: 1.1443 data_cost: 0.0098 ips: 34.9567 images/s
[07/27 18:26:03] ppdet.engine INFO: Epoch: [113] [  0/732] learning_rate: 0.132505 loss_vfl: 1.104594 loss_bbox: 0.588657 loss_dfl: 0.470637 loss: 2.162033 eta: 1 day, 18:50:27 batch_cost: 1.3888 data_cost: 0.3659 ips: 28.8019 images/s
[07/27 18:26:33] ppdet.engine INFO: Epoch: [113] [ 20/732] learning_rate: 0.132477 loss_vfl: 1.141801 loss_bbox: 0.578280 loss_dfl: 0.484436 loss: 2.212825 eta: 1 day, 18:50:09 batch_cost: 1.2724 data_cost: 0.0145 ips: 31.4356 images/s
[07/27 18:27:01] ppdet.engine INFO: Epoch: [113] [ 40/732] learning_rate: 0.132448 loss_vfl: 1.081942 loss_bbox: 0.578797 loss_dfl: 0.477068 loss: 2.130126 eta: 1 day, 18:49:45 batch_cost: 1.0909 data_cost: 0.0050 ips: 36.6675 images/s
[07/27 18:27:27] ppdet.engine INFO: Epoch: [113] [ 60/732] learning_rate: 0.132420 loss_vfl: 1.105568 loss_bbox: 0.565339 loss_dfl: 0.469297 loss: 2.138417 eta: 1 day, 18:49:20 batch_cost: 1.0473 data_cost: 0.0093 ips: 38.1926 images/s
[07/27 18:27:53] ppdet.engine INFO: Epoch: [113] [ 80/732] learning_rate: 0.132391 loss_vfl: 1.117701 loss_bbox: 0.578068 loss_dfl: 0.478498 loss: 2.181649 eta: 1 day, 18:48:57 batch_cost: 1.1110 data_cost: 0.0845 ips: 36.0051 images/s
[07/27 18:28:19] ppdet.engine INFO: Epoch: [113] [100/732] learning_rate: 0.132363 loss_vfl: 1.097272 loss_bbox: 0.561622 loss_dfl: 0.468725 loss: 2.132177 eta: 1 day, 18:48:30 batch_cost: 0.9922 data_cost: 0.0059 ips: 40.3154 images/s
[07/27 18:28:47] ppdet.engine INFO: Epoch: [113] [120/732] learning_rate: 0.132335 loss_vfl: 1.108576 loss_bbox: 0.563374 loss_dfl: 0.469220 loss: 2.144138 eta: 1 day, 18:48:07 batch_cost: 1.1048 data_cost: 0.0058 ips: 36.2041 images/s
[07/27 18:29:11] ppdet.engine INFO: Epoch: [113] [140/732] learning_rate: 0.132306 loss_vfl: 1.081887 loss_bbox: 0.570364 loss_dfl: 0.464575 loss: 2.112456 eta: 1 day, 18:47:37 batch_cost: 0.9158 data_cost: 0.0083 ips: 43.6794 images/s
[07/27 18:29:41] ppdet.engine INFO: Epoch: [113] [160/732] learning_rate: 0.132278 loss_vfl: 1.061055 loss_bbox: 0.560923 loss_dfl: 0.456279 loss: 2.069731 eta: 1 day, 18:47:20 batch_cost: 1.2781 data_cost: 0.0094 ips: 31.2965 images/s
[07/27 18:30:08] ppdet.engine INFO: Epoch: [113] [180/732] learning_rate: 0.132249 loss_vfl: 1.098916 loss_bbox: 0.580063 loss_dfl: 0.476721 loss: 2.186070 eta: 1 day, 18:46:57 batch_cost: 1.1228 data_cost: 0.0102 ips: 35.6254 images/s
[07/27 18:30:34] ppdet.engine INFO: Epoch: [113] [200/732] learning_rate: 0.132221 loss_vfl: 1.175104 loss_bbox: 0.604024 loss_dfl: 0.496811 loss: 2.245852 eta: 1 day, 18:46:32 batch_cost: 1.0506 data_cost: 0.0059 ips: 38.0724 images/s
[07/27 18:30:59] ppdet.engine INFO: Epoch: [113] [220/732] learning_rate: 0.132193 loss_vfl: 1.110618 loss_bbox: 0.559859 loss_dfl: 0.464624 loss: 2.141105 eta: 1 day, 18:46:07 batch_cost: 1.0333 data_cost: 0.0094 ips: 38.7123 images/s
[07/27 18:31:27] ppdet.engine INFO: Epoch: [113] [240/732] learning_rate: 0.132164 loss_vfl: 1.136284 loss_bbox: 0.583878 loss_dfl: 0.486440 loss: 2.203688 eta: 1 day, 18:45:43 batch_cost: 1.1079 data_cost: 0.0085 ips: 36.1055 images/s
[07/27 18:31:53] ppdet.engine INFO: Epoch: [113] [260/732] learning_rate: 0.132136 loss_vfl: 1.130745 loss_bbox: 0.577263 loss_dfl: 0.484549 loss: 2.203394 eta: 1 day, 18:45:18 batch_cost: 1.0549 data_cost: 0.0062 ips: 37.9193 images/s
[07/27 18:32:17] ppdet.engine INFO: Epoch: [113] [280/732] learning_rate: 0.132107 loss_vfl: 1.135113 loss_bbox: 0.592311 loss_dfl: 0.484429 loss: 2.227601 eta: 1 day, 18:44:51 batch_cost: 0.9708 data_cost: 0.0056 ips: 41.2046 images/s
[07/27 18:32:44] ppdet.engine INFO: Epoch: [113] [300/732] learning_rate: 0.132079 loss_vfl: 1.075278 loss_bbox: 0.562259 loss_dfl: 0.470729 loss: 2.083167 eta: 1 day, 18:44:28 batch_cost: 1.1068 data_cost: 0.0329 ips: 36.1415 images/s
[07/27 18:33:10] ppdet.engine INFO: Epoch: [113] [320/732] learning_rate: 0.132050 loss_vfl: 1.093255 loss_bbox: 0.584128 loss_dfl: 0.478976 loss: 2.154784 eta: 1 day, 18:44:03 batch_cost: 1.0653 data_cost: 0.0073 ips: 37.5494 images/s
[07/27 18:33:36] ppdet.engine INFO: Epoch: [113] [340/732] learning_rate: 0.132022 loss_vfl: 1.174016 loss_bbox: 0.590675 loss_dfl: 0.497545 loss: 2.280767 eta: 1 day, 18:43:39 batch_cost: 1.0674 data_cost: 0.0070 ips: 37.4753 images/s
[07/27 18:34:03] ppdet.engine INFO: Epoch: [113] [360/732] learning_rate: 0.131993 loss_vfl: 1.121663 loss_bbox: 0.577168 loss_dfl: 0.480387 loss: 2.201162 eta: 1 day, 18:43:16 batch_cost: 1.1230 data_cost: 0.0064 ips: 35.6179 images/s
[07/27 18:34:29] ppdet.engine INFO: Epoch: [113] [380/732] learning_rate: 0.131965 loss_vfl: 1.127005 loss_bbox: 0.579791 loss_dfl: 0.469560 loss: 2.148051 eta: 1 day, 18:42:53 batch_cost: 1.1014 data_cost: 0.0034 ips: 36.3181 images/s
[07/27 18:34:56] ppdet.engine INFO: Epoch: [113] [400/732] learning_rate: 0.131937 loss_vfl: 1.113684 loss_bbox: 0.575575 loss_dfl: 0.469354 loss: 2.134952 eta: 1 day, 18:42:28 batch_cost: 1.0781 data_cost: 0.0789 ips: 37.1012 images/s
[07/27 18:35:22] ppdet.engine INFO: Epoch: [113] [420/732] learning_rate: 0.131908 loss_vfl: 1.116108 loss_bbox: 0.587592 loss_dfl: 0.488726 loss: 2.195649 eta: 1 day, 18:42:08 batch_cost: 1.1742 data_cost: 0.0062 ips: 34.0663 images/s
[07/27 18:35:47] ppdet.engine INFO: Epoch: [113] [440/732] learning_rate: 0.131880 loss_vfl: 1.090943 loss_bbox: 0.545658 loss_dfl: 0.454694 loss: 2.089982 eta: 1 day, 18:41:43 batch_cost: 1.0683 data_cost: 0.0131 ips: 37.4432 images/s
[07/27 18:36:15] ppdet.engine INFO: Epoch: [113] [460/732] learning_rate: 0.131851 loss_vfl: 1.096222 loss_bbox: 0.548750 loss_dfl: 0.468233 loss: 2.118076 eta: 1 day, 18:41:20 batch_cost: 1.1089 data_cost: 0.0027 ips: 36.0711 images/s
[07/27 18:36:40] ppdet.engine INFO: Epoch: [113] [480/732] learning_rate: 0.131823 loss_vfl: 1.141740 loss_bbox: 0.583092 loss_dfl: 0.488167 loss: 2.211851 eta: 1 day, 18:40:54 batch_cost: 1.0154 data_cost: 0.0103 ips: 39.3929 images/s
[07/27 18:37:07] ppdet.engine INFO: Epoch: [113] [500/732] learning_rate: 0.131794 loss_vfl: 1.108122 loss_bbox: 0.562847 loss_dfl: 0.465675 loss: 2.129932 eta: 1 day, 18:40:30 batch_cost: 1.0983 data_cost: 0.0084 ips: 36.4194 images/s
[07/27 18:37:32] ppdet.engine INFO: Epoch: [113] [520/732] learning_rate: 0.131766 loss_vfl: 1.125870 loss_bbox: 0.579653 loss_dfl: 0.485128 loss: 2.205397 eta: 1 day, 18:40:07 batch_cost: 1.0904 data_cost: 0.0047 ips: 36.6845 images/s
[07/27 18:37:57] ppdet.engine INFO: Epoch: [113] [540/732] learning_rate: 0.131737 loss_vfl: 1.120696 loss_bbox: 0.581107 loss_dfl: 0.486653 loss: 2.190830 eta: 1 day, 18:39:39 batch_cost: 0.9672 data_cost: 0.0058 ips: 41.3566 images/s
[07/27 18:38:23] ppdet.engine INFO: Epoch: [113] [560/732] learning_rate: 0.131709 loss_vfl: 1.062479 loss_bbox: 0.569159 loss_dfl: 0.464828 loss: 2.109483 eta: 1 day, 18:39:13 batch_cost: 1.0200 data_cost: 0.0057 ips: 39.2171 images/s
[07/27 18:38:49] ppdet.engine INFO: Epoch: [113] [580/732] learning_rate: 0.131680 loss_vfl: 1.130816 loss_bbox: 0.596036 loss_dfl: 0.489230 loss: 2.238140 eta: 1 day, 18:38:46 batch_cost: 1.0041 data_cost: 0.0077 ips: 39.8350 images/s
[07/27 18:39:15] ppdet.engine INFO: Epoch: [113] [600/732] learning_rate: 0.131652 loss_vfl: 1.094387 loss_bbox: 0.562316 loss_dfl: 0.470090 loss: 2.129641 eta: 1 day, 18:38:21 batch_cost: 1.0518 data_cost: 0.0045 ips: 38.0297 images/s
[07/27 18:39:41] ppdet.engine INFO: Epoch: [113] [620/732] learning_rate: 0.131623 loss_vfl: 1.094235 loss_bbox: 0.559410 loss_dfl: 0.465460 loss: 2.121690 eta: 1 day, 18:37:57 batch_cost: 1.0796 data_cost: 0.0142 ips: 37.0492 images/s
[07/27 18:40:08] ppdet.engine INFO: Epoch: [113] [640/732] learning_rate: 0.131595 loss_vfl: 1.050395 loss_bbox: 0.544766 loss_dfl: 0.448767 loss: 2.047900 eta: 1 day, 18:37:34 batch_cost: 1.0969 data_cost: 0.0052 ips: 36.4671 images/s
[07/27 18:40:36] ppdet.engine INFO: Epoch: [113] [660/732] learning_rate: 0.131566 loss_vfl: 1.064962 loss_bbox: 0.565111 loss_dfl: 0.456027 loss: 2.073400 eta: 1 day, 18:37:13 batch_cost: 1.1738 data_cost: 0.0059 ips: 34.0788 images/s
[07/27 18:41:02] ppdet.engine INFO: Epoch: [113] [680/732] learning_rate: 0.131538 loss_vfl: 1.140601 loss_bbox: 0.587037 loss_dfl: 0.487119 loss: 2.232476 eta: 1 day, 18:36:52 batch_cost: 1.1628 data_cost: 0.0184 ips: 34.4007 images/s
[07/27 18:41:28] ppdet.engine INFO: Epoch: [113] [700/732] learning_rate: 0.131510 loss_vfl: 1.122059 loss_bbox: 0.600754 loss_dfl: 0.488022 loss: 2.202767 eta: 1 day, 18:36:27 batch_cost: 1.0597 data_cost: 0.0040 ips: 37.7452 images/s
[07/27 18:41:55] ppdet.engine INFO: Epoch: [113] [720/732] learning_rate: 0.131481 loss_vfl: 1.078912 loss_bbox: 0.562771 loss_dfl: 0.464544 loss: 2.098801 eta: 1 day, 18:36:07 batch_cost: 1.1971 data_cost: 0.0066 ips: 33.4130 images/s
[07/27 18:42:17] ppdet.engine INFO: Epoch: [114] [  0/732] learning_rate: 0.131464 loss_vfl: 1.159207 loss_bbox: 0.586280 loss_dfl: 0.487831 loss: 2.233702 eta: 1 day, 18:36:02 batch_cost: 1.4393 data_cost: 0.4869 ips: 27.7911 images/s
[07/27 18:42:44] ppdet.engine INFO: Epoch: [114] [ 20/732] learning_rate: 0.131435 loss_vfl: 1.104496 loss_bbox: 0.564416 loss_dfl: 0.475574 loss: 2.159995 eta: 1 day, 18:35:39 batch_cost: 1.1190 data_cost: 0.0366 ips: 35.7471 images/s
[07/27 18:43:11] ppdet.engine INFO: Epoch: [114] [ 40/732] learning_rate: 0.131407 loss_vfl: 1.162750 loss_bbox: 0.607369 loss_dfl: 0.497194 loss: 2.277861 eta: 1 day, 18:35:12 batch_cost: 0.9768 data_cost: 0.0132 ips: 40.9500 images/s
[07/27 18:43:37] ppdet.engine INFO: Epoch: [114] [ 60/732] learning_rate: 0.131378 loss_vfl: 1.090716 loss_bbox: 0.562495 loss_dfl: 0.467434 loss: 2.131316 eta: 1 day, 18:34:47 batch_cost: 1.0723 data_cost: 0.0071 ips: 37.3036 images/s
[07/27 18:44:05] ppdet.engine INFO: Epoch: [114] [ 80/732] learning_rate: 0.131350 loss_vfl: 1.137156 loss_bbox: 0.584706 loss_dfl: 0.483892 loss: 2.190708 eta: 1 day, 18:34:23 batch_cost: 1.0789 data_cost: 0.0105 ips: 37.0742 images/s
[07/27 18:44:31] ppdet.engine INFO: Epoch: [114] [100/732] learning_rate: 0.131321 loss_vfl: 1.120682 loss_bbox: 0.573654 loss_dfl: 0.477191 loss: 2.167159 eta: 1 day, 18:34:01 batch_cost: 1.1166 data_cost: 0.0064 ips: 35.8244 images/s
[07/27 18:44:56] ppdet.engine INFO: Epoch: [114] [120/732] learning_rate: 0.131293 loss_vfl: 1.107200 loss_bbox: 0.574650 loss_dfl: 0.472677 loss: 2.160104 eta: 1 day, 18:33:34 batch_cost: 0.9942 data_cost: 0.0095 ips: 40.2345 images/s
[07/27 18:45:25] ppdet.engine INFO: Epoch: [114] [140/732] learning_rate: 0.131264 loss_vfl: 1.137777 loss_bbox: 0.577120 loss_dfl: 0.481635 loss: 2.200144 eta: 1 day, 18:33:12 batch_cost: 1.1475 data_cost: 0.0075 ips: 34.8589 images/s
[07/27 18:45:51] ppdet.engine INFO: Epoch: [114] [160/732] learning_rate: 0.131236 loss_vfl: 1.111010 loss_bbox: 0.568953 loss_dfl: 0.475291 loss: 2.154293 eta: 1 day, 18:32:46 batch_cost: 1.0229 data_cost: 0.0077 ips: 39.1038 images/s
[07/27 18:46:17] ppdet.engine INFO: Epoch: [114] [180/732] learning_rate: 0.131207 loss_vfl: 1.134637 loss_bbox: 0.582294 loss_dfl: 0.479705 loss: 2.173509 eta: 1 day, 18:32:21 batch_cost: 1.0496 data_cost: 0.0107 ips: 38.1088 images/s
[07/27 18:46:46] ppdet.engine INFO: Epoch: [114] [200/732] learning_rate: 0.131179 loss_vfl: 1.138889 loss_bbox: 0.575244 loss_dfl: 0.489191 loss: 2.200485 eta: 1 day, 18:32:01 batch_cost: 1.2058 data_cost: 0.0098 ips: 33.1744 images/s
[07/27 18:47:12] ppdet.engine INFO: Epoch: [114] [220/732] learning_rate: 0.131150 loss_vfl: 1.163092 loss_bbox: 0.591005 loss_dfl: 0.487244 loss: 2.241250 eta: 1 day, 18:31:35 batch_cost: 1.0250 data_cost: 0.0074 ips: 39.0247 images/s
[07/27 18:47:38] ppdet.engine INFO: Epoch: [114] [240/732] learning_rate: 0.131122 loss_vfl: 1.087606 loss_bbox: 0.569912 loss_dfl: 0.464905 loss: 2.125125 eta: 1 day, 18:31:11 batch_cost: 1.0772 data_cost: 0.0037 ips: 37.1332 images/s
[07/27 18:48:05] ppdet.engine INFO: Epoch: [114] [260/732] learning_rate: 0.131093 loss_vfl: 1.100716 loss_bbox: 0.574923 loss_dfl: 0.483095 loss: 2.140606 eta: 1 day, 18:30:48 batch_cost: 1.1147 data_cost: 0.0083 ips: 35.8835 images/s
[07/27 18:48:31] ppdet.engine INFO: Epoch: [114] [280/732] learning_rate: 0.131065 loss_vfl: 1.167357 loss_bbox: 0.575977 loss_dfl: 0.476831 loss: 2.222338 eta: 1 day, 18:30:22 batch_cost: 1.0262 data_cost: 0.0075 ips: 38.9803 images/s
[07/27 18:48:58] ppdet.engine INFO: Epoch: [114] [300/732] learning_rate: 0.131036 loss_vfl: 1.143560 loss_bbox: 0.592727 loss_dfl: 0.481915 loss: 2.217982 eta: 1 day, 18:29:58 batch_cost: 1.0539 data_cost: 0.0038 ips: 37.9528 images/s
[07/27 18:49:23] ppdet.engine INFO: Epoch: [114] [320/732] learning_rate: 0.131008 loss_vfl: 1.152614 loss_bbox: 0.603174 loss_dfl: 0.492961 loss: 2.249149 eta: 1 day, 18:29:31 batch_cost: 1.0012 data_cost: 0.0038 ips: 39.9507 images/s
[07/27 18:49:50] ppdet.engine INFO: Epoch: [114] [340/732] learning_rate: 0.130979 loss_vfl: 1.122523 loss_bbox: 0.580211 loss_dfl: 0.479802 loss: 2.182739 eta: 1 day, 18:29:07 batch_cost: 1.0737 data_cost: 0.0126 ips: 37.2535 images/s
[07/27 18:50:17] ppdet.engine INFO: Epoch: [114] [360/732] learning_rate: 0.130951 loss_vfl: 1.052982 loss_bbox: 0.539746 loss_dfl: 0.451201 loss: 2.033247 eta: 1 day, 18:28:44 batch_cost: 1.1166 data_cost: 0.0086 ips: 35.8223 images/s
[07/27 18:50:43] ppdet.engine INFO: Epoch: [114] [380/732] learning_rate: 0.130922 loss_vfl: 1.082664 loss_bbox: 0.571104 loss_dfl: 0.460255 loss: 2.091924 eta: 1 day, 18:28:21 batch_cost: 1.0984 data_cost: 0.0038 ips: 36.4158 images/s
[07/27 18:51:11] ppdet.engine INFO: Epoch: [114] [400/732] learning_rate: 0.130894 loss_vfl: 1.100245 loss_bbox: 0.566138 loss_dfl: 0.469967 loss: 2.153381 eta: 1 day, 18:28:00 batch_cost: 1.1893 data_cost: 0.0130 ips: 33.6345 images/s
[07/27 18:51:37] ppdet.engine INFO: Epoch: [114] [420/732] learning_rate: 0.130865 loss_vfl: 1.139623 loss_bbox: 0.582089 loss_dfl: 0.488745 loss: 2.222415 eta: 1 day, 18:27:32 batch_cost: 0.9594 data_cost: 0.0082 ips: 41.6913 images/s
[07/27 18:52:03] ppdet.engine INFO: Epoch: [114] [440/732] learning_rate: 0.130837 loss_vfl: 1.111631 loss_bbox: 0.587185 loss_dfl: 0.494485 loss: 2.191104 eta: 1 day, 18:27:08 batch_cost: 1.0665 data_cost: 0.0071 ips: 37.5059 images/s
[07/27 18:52:29] ppdet.engine INFO: Epoch: [114] [460/732] learning_rate: 0.130808 loss_vfl: 1.134162 loss_bbox: 0.566835 loss_dfl: 0.465514 loss: 2.137324 eta: 1 day, 18:26:39 batch_cost: 0.9350 data_cost: 0.0066 ips: 42.7821 images/s
[07/27 18:52:55] ppdet.engine INFO: Epoch: [114] [480/732] learning_rate: 0.130779 loss_vfl: 1.081100 loss_bbox: 0.557333 loss_dfl: 0.465028 loss: 2.103945 eta: 1 day, 18:26:13 batch_cost: 1.0131 data_cost: 0.0760 ips: 39.4824 images/s
[07/27 18:53:23] ppdet.engine INFO: Epoch: [114] [500/732] learning_rate: 0.130751 loss_vfl: 1.125968 loss_bbox: 0.583746 loss_dfl: 0.484029 loss: 2.192132 eta: 1 day, 18:25:51 batch_cost: 1.1374 data_cost: 0.0802 ips: 35.1681 images/s
[07/27 18:53:49] ppdet.engine INFO: Epoch: [114] [520/732] learning_rate: 0.130722 loss_vfl: 1.126012 loss_bbox: 0.573661 loss_dfl: 0.473379 loss: 2.145533 eta: 1 day, 18:25:24 batch_cost: 1.0088 data_cost: 0.0060 ips: 39.6518 images/s
[07/27 18:54:17] ppdet.engine INFO: Epoch: [114] [540/732] learning_rate: 0.130694 loss_vfl: 1.081666 loss_bbox: 0.551040 loss_dfl: 0.457544 loss: 2.085963 eta: 1 day, 18:25:02 batch_cost: 1.1251 data_cost: 0.0032 ips: 35.5520 images/s
[07/27 18:54:46] ppdet.engine INFO: Epoch: [114] [560/732] learning_rate: 0.130665 loss_vfl: 1.088720 loss_bbox: 0.568572 loss_dfl: 0.471297 loss: 2.114646 eta: 1 day, 18:24:41 batch_cost: 1.1819 data_cost: 0.0068 ips: 33.8431 images/s
[07/27 18:55:11] ppdet.engine INFO: Epoch: [114] [580/732] learning_rate: 0.130637 loss_vfl: 1.084016 loss_bbox: 0.577327 loss_dfl: 0.471911 loss: 2.122140 eta: 1 day, 18:24:16 batch_cost: 1.0528 data_cost: 0.0063 ips: 37.9924 images/s
[07/27 18:55:37] ppdet.engine INFO: Epoch: [114] [600/732] learning_rate: 0.130608 loss_vfl: 1.141012 loss_bbox: 0.589686 loss_dfl: 0.478557 loss: 2.193761 eta: 1 day, 18:23:49 batch_cost: 0.9794 data_cost: 0.0082 ips: 40.8409 images/s
[07/27 18:56:04] ppdet.engine INFO: Epoch: [114] [620/732] learning_rate: 0.130580 loss_vfl: 1.126889 loss_bbox: 0.562065 loss_dfl: 0.474599 loss: 2.177745 eta: 1 day, 18:23:26 batch_cost: 1.1233 data_cost: 0.0122 ips: 35.6079 images/s
[07/27 18:56:32] ppdet.engine INFO: Epoch: [114] [640/732] learning_rate: 0.130551 loss_vfl: 1.134582 loss_bbox: 0.576555 loss_dfl: 0.482554 loss: 2.196488 eta: 1 day, 18:23:06 batch_cost: 1.2021 data_cost: 0.0061 ips: 33.2757 images/s
[07/27 18:56:57] ppdet.engine INFO: Epoch: [114] [660/732] learning_rate: 0.130522 loss_vfl: 1.084337 loss_bbox: 0.560252 loss_dfl: 0.459788 loss: 2.094840 eta: 1 day, 18:22:39 batch_cost: 0.9738 data_cost: 0.0027 ips: 41.0775 images/s
[07/27 18:57:25] ppdet.engine INFO: Epoch: [114] [680/732] learning_rate: 0.130494 loss_vfl: 1.126832 loss_bbox: 0.564066 loss_dfl: 0.472346 loss: 2.198735 eta: 1 day, 18:22:18 batch_cost: 1.1822 data_cost: 0.0051 ips: 33.8345 images/s
[07/27 18:57:50] ppdet.engine INFO: Epoch: [114] [700/732] learning_rate: 0.130465 loss_vfl: 1.129056 loss_bbox: 0.607191 loss_dfl: 0.505112 loss: 2.271853 eta: 1 day, 18:21:52 batch_cost: 1.0143 data_cost: 0.0220 ips: 39.4377 images/s
[07/27 18:58:15] ppdet.engine INFO: Epoch: [114] [720/732] learning_rate: 0.130437 loss_vfl: 1.104453 loss_bbox: 0.572225 loss_dfl: 0.467568 loss: 2.138740 eta: 1 day, 18:21:24 batch_cost: 0.9512 data_cost: 0.0067 ips: 42.0521 images/s
[07/27 18:58:40] ppdet.engine INFO: Epoch: [115] [  0/732] learning_rate: 0.130420 loss_vfl: 1.109316 loss_bbox: 0.583678 loss_dfl: 0.475784 loss: 2.175678 eta: 1 day, 18:21:24 batch_cost: 1.4576 data_cost: 0.6552 ips: 27.4429 images/s
[07/27 18:59:06] ppdet.engine INFO: Epoch: [115] [ 20/732] learning_rate: 0.130391 loss_vfl: 1.105520 loss_bbox: 0.560878 loss_dfl: 0.469140 loss: 2.151936 eta: 1 day, 18:20:59 batch_cost: 1.0659 data_cost: 0.0023 ips: 37.5259 images/s
[07/27 18:59:33] ppdet.engine INFO: Epoch: [115] [ 40/732] learning_rate: 0.130362 loss_vfl: 1.096561 loss_bbox: 0.552276 loss_dfl: 0.461519 loss: 2.116935 eta: 1 day, 18:20:36 batch_cost: 1.0988 data_cost: 0.0054 ips: 36.4042 images/s
[07/27 18:59:59] ppdet.engine INFO: Epoch: [115] [ 60/732] learning_rate: 0.130334 loss_vfl: 1.101387 loss_bbox: 0.550465 loss_dfl: 0.467285 loss: 2.133719 eta: 1 day, 18:20:12 batch_cost: 1.0908 data_cost: 0.0074 ips: 36.6708 images/s
[07/27 19:00:28] ppdet.engine INFO: Epoch: [115] [ 80/732] learning_rate: 0.130305 loss_vfl: 1.100478 loss_bbox: 0.557369 loss_dfl: 0.463060 loss: 2.114542 eta: 1 day, 18:19:51 batch_cost: 1.1695 data_cost: 0.0030 ips: 34.2013 images/s
[07/27 19:00:54] ppdet.engine INFO: Epoch: [115] [100/732] learning_rate: 0.130277 loss_vfl: 1.083958 loss_bbox: 0.571958 loss_dfl: 0.475501 loss: 2.133546 eta: 1 day, 18:19:26 batch_cost: 1.0528 data_cost: 0.0086 ips: 37.9923 images/s
[07/27 19:01:19] ppdet.engine INFO: Epoch: [115] [120/732] learning_rate: 0.130248 loss_vfl: 1.119289 loss_bbox: 0.574630 loss_dfl: 0.477674 loss: 2.169036 eta: 1 day, 18:19:01 batch_cost: 1.0272 data_cost: 0.0086 ips: 38.9396 images/s
[07/27 19:01:49] ppdet.engine INFO: Epoch: [115] [140/732] learning_rate: 0.130219 loss_vfl: 1.117786 loss_bbox: 0.582612 loss_dfl: 0.482808 loss: 2.192255 eta: 1 day, 18:18:43 batch_cost: 1.2764 data_cost: 0.0047 ips: 31.3386 images/s
[07/27 19:02:17] ppdet.engine INFO: Epoch: [115] [160/732] learning_rate: 0.130191 loss_vfl: 1.122435 loss_bbox: 0.583325 loss_dfl: 0.488533 loss: 2.196002 eta: 1 day, 18:18:20 batch_cost: 1.1217 data_cost: 0.0043 ips: 35.6604 images/s
[07/27 19:02:42] ppdet.engine INFO: Epoch: [115] [180/732] learning_rate: 0.130162 loss_vfl: 1.109599 loss_bbox: 0.549833 loss_dfl: 0.465673 loss: 2.110471 eta: 1 day, 18:17:51 batch_cost: 0.9237 data_cost: 0.0039 ips: 43.3059 images/s
[07/27 19:03:09] ppdet.engine INFO: Epoch: [115] [200/732] learning_rate: 0.130134 loss_vfl: 1.112567 loss_bbox: 0.566118 loss_dfl: 0.478456 loss: 2.139505 eta: 1 day, 18:17:30 batch_cost: 1.1551 data_cost: 0.0115 ips: 34.6277 images/s
[07/27 19:03:34] ppdet.engine INFO: Epoch: [115] [220/732] learning_rate: 0.130105 loss_vfl: 1.152908 loss_bbox: 0.569691 loss_dfl: 0.485444 loss: 2.207556 eta: 1 day, 18:17:01 batch_cost: 0.9425 data_cost: 0.0106 ips: 42.4384 images/s
[07/27 19:04:02] ppdet.engine INFO: Epoch: [115] [240/732] learning_rate: 0.130076 loss_vfl: 1.103997 loss_bbox: 0.567911 loss_dfl: 0.466958 loss: 2.153164 eta: 1 day, 18:16:37 batch_cost: 1.0653 data_cost: 0.0032 ips: 37.5465 images/s
[07/27 19:04:30] ppdet.engine INFO: Epoch: [115] [260/732] learning_rate: 0.130048 loss_vfl: 1.072347 loss_bbox: 0.578078 loss_dfl: 0.471189 loss: 2.100078 eta: 1 day, 18:16:13 batch_cost: 1.0724 data_cost: 0.0034 ips: 37.3008 images/s
[07/27 19:04:55] ppdet.engine INFO: Epoch: [115] [280/732] learning_rate: 0.130019 loss_vfl: 1.141250 loss_bbox: 0.588371 loss_dfl: 0.486181 loss: 2.205221 eta: 1 day, 18:15:48 batch_cost: 1.0633 data_cost: 0.0040 ips: 37.6197 images/s
[07/27 19:05:24] ppdet.engine INFO: Epoch: [115] [300/732] learning_rate: 0.129991 loss_vfl: 1.130505 loss_bbox: 0.567046 loss_dfl: 0.480280 loss: 2.197653 eta: 1 day, 18:15:24 batch_cost: 1.0791 data_cost: 0.0193 ips: 37.0692 images/s
[07/27 19:05:51] ppdet.engine INFO: Epoch: [115] [320/732] learning_rate: 0.129962 loss_vfl: 1.097826 loss_bbox: 0.578344 loss_dfl: 0.480480 loss: 2.128852 eta: 1 day, 18:15:03 batch_cost: 1.1665 data_cost: 0.0121 ips: 34.2899 images/s
[07/27 19:06:17] ppdet.engine INFO: Epoch: [115] [340/732] learning_rate: 0.129933 loss_vfl: 1.136399 loss_bbox: 0.600737 loss_dfl: 0.482234 loss: 2.203672 eta: 1 day, 18:14:36 batch_cost: 1.0032 data_cost: 0.0078 ips: 39.8740 images/s
[07/27 19:06:42] ppdet.engine INFO: Epoch: [115] [360/732] learning_rate: 0.129905 loss_vfl: 1.094725 loss_bbox: 0.582649 loss_dfl: 0.479704 loss: 2.192014 eta: 1 day, 18:14:11 batch_cost: 1.0421 data_cost: 0.0047 ips: 38.3856 images/s
[07/27 19:07:10] ppdet.engine INFO: Epoch: [115] [380/732] learning_rate: 0.129876 loss_vfl: 1.150244 loss_bbox: 0.603998 loss_dfl: 0.497528 loss: 2.260379 eta: 1 day, 18:13:47 batch_cost: 1.0740 data_cost: 0.0095 ips: 37.2440 images/s
[07/27 19:07:37] ppdet.engine INFO: Epoch: [115] [400/732] learning_rate: 0.129848 loss_vfl: 1.125208 loss_bbox: 0.565130 loss_dfl: 0.476626 loss: 2.167927 eta: 1 day, 18:13:24 batch_cost: 1.1043 data_cost: 0.0919 ips: 36.2222 images/s
[07/27 19:08:04] ppdet.engine INFO: Epoch: [115] [420/732] learning_rate: 0.129819 loss_vfl: 1.133888 loss_bbox: 0.564339 loss_dfl: 0.484272 loss: 2.183740 eta: 1 day, 18:13:01 batch_cost: 1.1229 data_cost: 0.0015 ips: 35.6229 images/s
[07/27 19:08:31] ppdet.engine INFO: Epoch: [115] [440/732] learning_rate: 0.129790 loss_vfl: 1.109484 loss_bbox: 0.592617 loss_dfl: 0.479968 loss: 2.172865 eta: 1 day, 18:12:40 batch_cost: 1.1570 data_cost: 0.0040 ips: 34.5708 images/s
[07/27 19:08:58] ppdet.engine INFO: Epoch: [115] [460/732] learning_rate: 0.129762 loss_vfl: 1.082894 loss_bbox: 0.567359 loss_dfl: 0.463680 loss: 2.114567 eta: 1 day, 18:12:14 batch_cost: 1.0296 data_cost: 0.0096 ips: 38.8510 images/s
[07/27 19:09:25] ppdet.engine INFO: Epoch: [115] [480/732] learning_rate: 0.129733 loss_vfl: 1.086694 loss_bbox: 0.545095 loss_dfl: 0.464246 loss: 2.105904 eta: 1 day, 18:11:51 batch_cost: 1.1064 data_cost: 0.0042 ips: 36.1540 images/s
[07/27 19:09:51] ppdet.engine INFO: Epoch: [115] [500/732] learning_rate: 0.129704 loss_vfl: 1.140607 loss_bbox: 0.574277 loss_dfl: 0.478316 loss: 2.186805 eta: 1 day, 18:11:25 batch_cost: 1.0307 data_cost: 0.0037 ips: 38.8077 images/s
[07/27 19:10:19] ppdet.engine INFO: Epoch: [115] [520/732] learning_rate: 0.129676 loss_vfl: 1.106776 loss_bbox: 0.581614 loss_dfl: 0.476255 loss: 2.170404 eta: 1 day, 18:11:05 batch_cost: 1.1981 data_cost: 0.0025 ips: 33.3871 images/s
[07/27 19:10:46] ppdet.engine INFO: Epoch: [115] [540/732] learning_rate: 0.129647 loss_vfl: 1.080676 loss_bbox: 0.553611 loss_dfl: 0.463985 loss: 2.077394 eta: 1 day, 18:10:43 batch_cost: 1.1215 data_cost: 0.0016 ips: 35.6650 images/s
[07/27 19:11:10] ppdet.engine INFO: Epoch: [115] [560/732] learning_rate: 0.129618 loss_vfl: 1.087553 loss_bbox: 0.570510 loss_dfl: 0.469612 loss: 2.145227 eta: 1 day, 18:10:16 batch_cost: 0.9973 data_cost: 0.0059 ips: 40.1070 images/s
[07/27 19:11:37] ppdet.engine INFO: Epoch: [115] [580/732] learning_rate: 0.129590 loss_vfl: 1.091953 loss_bbox: 0.576940 loss_dfl: 0.483490 loss: 2.155127 eta: 1 day, 18:09:54 batch_cost: 1.1477 data_cost: 0.0096 ips: 34.8513 images/s
[07/27 19:12:02] ppdet.engine INFO: Epoch: [115] [600/732] learning_rate: 0.129561 loss_vfl: 1.081233 loss_bbox: 0.561728 loss_dfl: 0.456932 loss: 2.097350 eta: 1 day, 18:09:29 batch_cost: 1.0418 data_cost: 0.0163 ips: 38.3953 images/s
[07/27 19:12:28] ppdet.engine INFO: Epoch: [115] [620/732] learning_rate: 0.129533 loss_vfl: 1.130568 loss_bbox: 0.582737 loss_dfl: 0.482475 loss: 2.195800 eta: 1 day, 18:09:05 batch_cost: 1.0869 data_cost: 0.0065 ips: 36.8006 images/s
[07/27 19:12:56] ppdet.engine INFO: Epoch: [115] [640/732] learning_rate: 0.129504 loss_vfl: 1.163040 loss_bbox: 0.607129 loss_dfl: 0.490788 loss: 2.235829 eta: 1 day, 18:08:46 batch_cost: 1.2433 data_cost: 0.0044 ips: 32.1717 images/s
[07/27 19:13:20] ppdet.engine INFO: Epoch: [115] [660/732] learning_rate: 0.129475 loss_vfl: 1.078309 loss_bbox: 0.565667 loss_dfl: 0.459846 loss: 2.113838 eta: 1 day, 18:08:19 batch_cost: 0.9775 data_cost: 0.0013 ips: 40.9202 images/s
[07/27 19:13:46] ppdet.engine INFO: Epoch: [115] [680/732] learning_rate: 0.129447 loss_vfl: 1.124184 loss_bbox: 0.588449 loss_dfl: 0.481182 loss: 2.192940 eta: 1 day, 18:07:55 batch_cost: 1.0649 data_cost: 0.0072 ips: 37.5632 images/s
[07/27 19:14:12] ppdet.engine INFO: Epoch: [115] [700/732] learning_rate: 0.129418 loss_vfl: 1.107403 loss_bbox: 0.563046 loss_dfl: 0.475098 loss: 2.135410 eta: 1 day, 18:07:31 batch_cost: 1.0804 data_cost: 0.0069 ips: 37.0230 images/s
[07/27 19:14:37] ppdet.engine INFO: Epoch: [115] [720/732] learning_rate: 0.129389 loss_vfl: 1.139497 loss_bbox: 0.587976 loss_dfl: 0.484430 loss: 2.197568 eta: 1 day, 18:07:05 batch_cost: 1.0093 data_cost: 0.0080 ips: 39.6327 images/s
[07/27 19:14:59] ppdet.engine INFO: Epoch: [116] [  0/732] learning_rate: 0.129372 loss_vfl: 1.139374 loss_bbox: 0.590723 loss_dfl: 0.491792 loss: 2.218094 eta: 1 day, 18:06:59 batch_cost: 1.2961 data_cost: 0.4039 ips: 30.8625 images/s
[07/27 19:15:27] ppdet.engine INFO: Epoch: [116] [ 20/732] learning_rate: 0.129343 loss_vfl: 1.076299 loss_bbox: 0.576882 loss_dfl: 0.466380 loss: 2.108474 eta: 1 day, 18:06:36 batch_cost: 1.1073 data_cost: 0.0045 ips: 36.1234 images/s
[07/27 19:15:55] ppdet.engine INFO: Epoch: [116] [ 40/732] learning_rate: 0.129315 loss_vfl: 1.114202 loss_bbox: 0.572805 loss_dfl: 0.469124 loss: 2.128781 eta: 1 day, 18:06:13 batch_cost: 1.1240 data_cost: 0.0010 ips: 35.5864 images/s
[07/27 19:16:20] ppdet.engine INFO: Epoch: [116] [ 60/732] learning_rate: 0.129286 loss_vfl: 1.148065 loss_bbox: 0.588640 loss_dfl: 0.495443 loss: 2.237397 eta: 1 day, 18:05:46 batch_cost: 0.9952 data_cost: 0.0054 ips: 40.1938 images/s
[07/27 19:16:47] ppdet.engine INFO: Epoch: [116] [ 80/732] learning_rate: 0.129257 loss_vfl: 1.095798 loss_bbox: 0.576321 loss_dfl: 0.475887 loss: 2.148870 eta: 1 day, 18:05:24 batch_cost: 1.1203 data_cost: 0.0187 ips: 35.7049 images/s
[07/27 19:17:12] ppdet.engine INFO: Epoch: [116] [100/732] learning_rate: 0.129229 loss_vfl: 1.085255 loss_bbox: 0.559687 loss_dfl: 0.469701 loss: 2.109441 eta: 1 day, 18:04:59 batch_cost: 1.0431 data_cost: 0.0070 ips: 38.3467 images/s
[07/27 19:17:40] ppdet.engine INFO: Epoch: [116] [120/732] learning_rate: 0.129200 loss_vfl: 1.139414 loss_bbox: 0.577062 loss_dfl: 0.489880 loss: 2.205071 eta: 1 day, 18:04:36 batch_cost: 1.1404 data_cost: 0.0065 ips: 35.0762 images/s
[07/27 19:18:06] ppdet.engine INFO: Epoch: [116] [140/732] learning_rate: 0.129171 loss_vfl: 1.086652 loss_bbox: 0.564975 loss_dfl: 0.457990 loss: 2.104241 eta: 1 day, 18:04:13 batch_cost: 1.1022 data_cost: 0.0027 ips: 36.2896 images/s
[07/27 19:18:31] ppdet.engine INFO: Epoch: [116] [160/732] learning_rate: 0.129143 loss_vfl: 1.084368 loss_bbox: 0.567174 loss_dfl: 0.464522 loss: 2.111908 eta: 1 day, 18:03:48 batch_cost: 1.0510 data_cost: 0.0093 ips: 38.0607 images/s
[07/27 19:18:58] ppdet.engine INFO: Epoch: [116] [180/732] learning_rate: 0.129114 loss_vfl: 1.135324 loss_bbox: 0.588800 loss_dfl: 0.485653 loss: 2.206543 eta: 1 day, 18:03:28 batch_cost: 1.2060 data_cost: 0.0047 ips: 33.1683 images/s
[07/27 19:19:23] ppdet.engine INFO: Epoch: [116] [200/732] learning_rate: 0.129085 loss_vfl: 1.131067 loss_bbox: 0.599755 loss_dfl: 0.490905 loss: 2.191713 eta: 1 day, 18:03:03 batch_cost: 1.0294 data_cost: 0.0085 ips: 38.8593 images/s
[07/27 19:19:50] ppdet.engine INFO: Epoch: [116] [220/732] learning_rate: 0.129057 loss_vfl: 1.099086 loss_bbox: 0.559701 loss_dfl: 0.471066 loss: 2.137930 eta: 1 day, 18:02:39 batch_cost: 1.0891 data_cost: 0.0051 ips: 36.7270 images/s
[07/27 19:20:18] ppdet.engine INFO: Epoch: [116] [240/732] learning_rate: 0.129028 loss_vfl: 1.107575 loss_bbox: 0.570418 loss_dfl: 0.476655 loss: 2.169961 eta: 1 day, 18:02:17 batch_cost: 1.1461 data_cost: 0.0036 ips: 34.9008 images/s
[07/27 19:20:42] ppdet.engine INFO: Epoch: [116] [260/732] learning_rate: 0.128999 loss_vfl: 1.150615 loss_bbox: 0.591089 loss_dfl: 0.484423 loss: 2.222495 eta: 1 day, 18:01:48 batch_cost: 0.9240 data_cost: 0.0083 ips: 43.2897 images/s
[07/27 19:21:09] ppdet.engine INFO: Epoch: [116] [280/732] learning_rate: 0.128971 loss_vfl: 1.118523 loss_bbox: 0.574485 loss_dfl: 0.472521 loss: 2.155774 eta: 1 day, 18:01:25 batch_cost: 1.0865 data_cost: 0.0309 ips: 36.8149 images/s
[07/27 19:21:36] ppdet.engine INFO: Epoch: [116] [300/732] learning_rate: 0.128942 loss_vfl: 1.158379 loss_bbox: 0.601946 loss_dfl: 0.487658 loss: 2.226562 eta: 1 day, 18:01:03 batch_cost: 1.1425 data_cost: 0.0057 ips: 35.0107 images/s
[07/27 19:22:03] ppdet.engine INFO: Epoch: [116] [320/732] learning_rate: 0.128913 loss_vfl: 1.145937 loss_bbox: 0.578066 loss_dfl: 0.489596 loss: 2.227546 eta: 1 day, 18:00:40 batch_cost: 1.1267 data_cost: 0.0060 ips: 35.5019 images/s
[07/27 19:22:29] ppdet.engine INFO: Epoch: [116] [340/732] learning_rate: 0.128885 loss_vfl: 1.133318 loss_bbox: 0.611110 loss_dfl: 0.488401 loss: 2.237765 eta: 1 day, 18:00:16 batch_cost: 1.0654 data_cost: 0.0110 ips: 37.5462 images/s
[07/27 19:22:54] ppdet.engine INFO: Epoch: [116] [360/732] learning_rate: 0.128856 loss_vfl: 1.167497 loss_bbox: 0.590120 loss_dfl: 0.490908 loss: 2.233000 eta: 1 day, 17:59:49 batch_cost: 0.9868 data_cost: 0.0090 ips: 40.5348 images/s
[07/27 19:23:20] ppdet.engine INFO: Epoch: [116] [380/732] learning_rate: 0.128827 loss_vfl: 1.110539 loss_bbox: 0.556869 loss_dfl: 0.464896 loss: 2.121390 eta: 1 day, 17:59:25 batch_cost: 1.0679 data_cost: 0.0073 ips: 37.4572 images/s
[07/27 19:23:46] ppdet.engine INFO: Epoch: [116] [400/732] learning_rate: 0.128798 loss_vfl: 1.118504 loss_bbox: 0.566156 loss_dfl: 0.481315 loss: 2.174586 eta: 1 day, 17:59:00 batch_cost: 1.0616 data_cost: 0.0078 ips: 37.6799 images/s
[07/27 19:24:12] ppdet.engine INFO: Epoch: [116] [420/732] learning_rate: 0.128770 loss_vfl: 1.061203 loss_bbox: 0.553163 loss_dfl: 0.457377 loss: 2.074687 eta: 1 day, 17:58:34 batch_cost: 1.0274 data_cost: 0.0056 ips: 38.9321 images/s
[07/27 19:24:40] ppdet.engine INFO: Epoch: [116] [440/732] learning_rate: 0.128741 loss_vfl: 1.133472 loss_bbox: 0.602745 loss_dfl: 0.496336 loss: 2.255108 eta: 1 day, 17:58:14 batch_cost: 1.1894 data_cost: 0.0061 ips: 33.6315 images/s
[07/27 19:25:06] ppdet.engine INFO: Epoch: [116] [460/732] learning_rate: 0.128712 loss_vfl: 1.089009 loss_bbox: 0.553843 loss_dfl: 0.472569 loss: 2.107655 eta: 1 day, 17:57:48 batch_cost: 1.0229 data_cost: 0.0090 ips: 39.1038 images/s
[07/27 19:25:31] ppdet.engine INFO: Epoch: [116] [480/732] learning_rate: 0.128684 loss_vfl: 1.137319 loss_bbox: 0.578674 loss_dfl: 0.485261 loss: 2.204828 eta: 1 day, 17:57:25 batch_cost: 1.0895 data_cost: 0.0050 ips: 36.7157 images/s
[07/27 19:26:00] ppdet.engine INFO: Epoch: [116] [500/732] learning_rate: 0.128655 loss_vfl: 1.094101 loss_bbox: 0.560076 loss_dfl: 0.473676 loss: 2.148797 eta: 1 day, 17:57:05 batch_cost: 1.2035 data_cost: 0.0639 ips: 33.2359 images/s
[07/27 19:26:26] ppdet.engine INFO: Epoch: [116] [520/732] learning_rate: 0.128626 loss_vfl: 1.112528 loss_bbox: 0.586386 loss_dfl: 0.479000 loss: 2.170458 eta: 1 day, 17:56:41 batch_cost: 1.0931 data_cost: 0.0102 ips: 36.5942 images/s
[07/27 19:26:53] ppdet.engine INFO: Epoch: [116] [540/732] learning_rate: 0.128597 loss_vfl: 1.073597 loss_bbox: 0.535661 loss_dfl: 0.446582 loss: 2.049079 eta: 1 day, 17:56:19 batch_cost: 1.1329 data_cost: 0.0043 ips: 35.3069 images/s
[07/27 19:27:19] ppdet.engine INFO: Epoch: [116] [560/732] learning_rate: 0.128569 loss_vfl: 1.070917 loss_bbox: 0.551652 loss_dfl: 0.459888 loss: 2.074296 eta: 1 day, 17:55:53 batch_cost: 1.0343 data_cost: 0.0106 ips: 38.6734 images/s
[07/27 19:27:45] ppdet.engine INFO: Epoch: [116] [580/732] learning_rate: 0.128540 loss_vfl: 1.089042 loss_bbox: 0.567487 loss_dfl: 0.476326 loss: 2.115883 eta: 1 day, 17:55:30 batch_cost: 1.0917 data_cost: 0.0049 ips: 36.6406 images/s
[07/27 19:28:11] ppdet.engine INFO: Epoch: [116] [600/732] learning_rate: 0.128511 loss_vfl: 1.146736 loss_bbox: 0.584297 loss_dfl: 0.490629 loss: 2.211417 eta: 1 day, 17:55:07 batch_cost: 1.1096 data_cost: 0.0025 ips: 36.0504 images/s
[07/27 19:28:37] ppdet.engine INFO: Epoch: [116] [620/732] learning_rate: 0.128483 loss_vfl: 1.091560 loss_bbox: 0.586460 loss_dfl: 0.466444 loss: 2.133959 eta: 1 day, 17:54:40 batch_cost: 0.9761 data_cost: 0.0057 ips: 40.9785 images/s
[07/27 19:29:04] ppdet.engine INFO: Epoch: [116] [640/732] learning_rate: 0.128454 loss_vfl: 1.145156 loss_bbox: 0.583654 loss_dfl: 0.486138 loss: 2.212072 eta: 1 day, 17:54:14 batch_cost: 1.0254 data_cost: 0.0167 ips: 39.0074 images/s
[07/27 19:29:30] ppdet.engine INFO: Epoch: [116] [660/732] learning_rate: 0.128425 loss_vfl: 1.104201 loss_bbox: 0.575569 loss_dfl: 0.475886 loss: 2.150237 eta: 1 day, 17:53:49 batch_cost: 1.0324 data_cost: 0.0042 ips: 38.7433 images/s
[07/27 19:29:54] ppdet.engine INFO: Epoch: [116] [680/732] learning_rate: 0.128396 loss_vfl: 1.112606 loss_bbox: 0.560319 loss_dfl: 0.472928 loss: 2.138949 eta: 1 day, 17:53:21 batch_cost: 0.9680 data_cost: 0.0055 ips: 41.3237 images/s
[07/27 19:30:22] ppdet.engine INFO: Epoch: [116] [700/732] learning_rate: 0.128368 loss_vfl: 1.118851 loss_bbox: 0.572465 loss_dfl: 0.482071 loss: 2.163362 eta: 1 day, 17:53:00 batch_cost: 1.1555 data_cost: 0.0116 ips: 34.6175 images/s
[07/27 19:30:50] ppdet.engine INFO: Epoch: [116] [720/732] learning_rate: 0.128339 loss_vfl: 1.083781 loss_bbox: 0.556166 loss_dfl: 0.464346 loss: 2.106907 eta: 1 day, 17:52:39 batch_cost: 1.1896 data_cost: 0.0089 ips: 33.6258 images/s
[07/27 19:31:10] ppdet.engine INFO: Epoch: [117] [  0/732] learning_rate: 0.128322 loss_vfl: 1.085029 loss_bbox: 0.575824 loss_dfl: 0.462323 loss: 2.117220 eta: 1 day, 17:52:32 batch_cost: 1.3114 data_cost: 0.3305 ips: 30.5028 images/s
[07/27 19:31:40] ppdet.engine INFO: Epoch: [117] [ 20/732] learning_rate: 0.128293 loss_vfl: 1.167923 loss_bbox: 0.568379 loss_dfl: 0.477566 loss: 2.200074 eta: 1 day, 17:52:15 batch_cost: 1.3291 data_cost: 0.0075 ips: 30.0952 images/s
[07/27 19:32:05] ppdet.engine INFO: Epoch: [117] [ 40/732] learning_rate: 0.128264 loss_vfl: 1.128237 loss_bbox: 0.588698 loss_dfl: 0.473376 loss: 2.173980 eta: 1 day, 17:51:50 batch_cost: 1.0385 data_cost: 0.0042 ips: 38.5158 images/s
[07/27 19:32:32] ppdet.engine INFO: Epoch: [117] [ 60/732] learning_rate: 0.128235 loss_vfl: 1.070782 loss_bbox: 0.553699 loss_dfl: 0.466487 loss: 2.100155 eta: 1 day, 17:51:26 batch_cost: 1.0836 data_cost: 0.0212 ips: 36.9128 images/s
[07/27 19:33:00] ppdet.engine INFO: Epoch: [117] [ 80/732] learning_rate: 0.128207 loss_vfl: 1.161767 loss_bbox: 0.594905 loss_dfl: 0.494285 loss: 2.252174 eta: 1 day, 17:51:02 batch_cost: 1.0706 data_cost: 0.0060 ips: 37.3606 images/s
[07/27 19:33:25] ppdet.engine INFO: Epoch: [117] [100/732] learning_rate: 0.128178 loss_vfl: 1.104663 loss_bbox: 0.579672 loss_dfl: 0.477132 loss: 2.133412 eta: 1 day, 17:50:39 batch_cost: 1.0932 data_cost: 0.0036 ips: 36.5911 images/s
[07/27 19:33:53] ppdet.engine INFO: Epoch: [117] [120/732] learning_rate: 0.128149 loss_vfl: 1.088656 loss_bbox: 0.563481 loss_dfl: 0.453012 loss: 2.068028 eta: 1 day, 17:50:16 batch_cost: 1.1229 data_cost: 0.0087 ips: 35.6236 images/s
[07/27 19:34:19] ppdet.engine INFO: Epoch: [117] [140/732] learning_rate: 0.128120 loss_vfl: 1.137136 loss_bbox: 0.575133 loss_dfl: 0.472769 loss: 2.200036 eta: 1 day, 17:49:53 batch_cost: 1.0963 data_cost: 0.0102 ips: 36.4868 images/s
[07/27 19:34:44] ppdet.engine INFO: Epoch: [117] [160/732] learning_rate: 0.128092 loss_vfl: 1.080215 loss_bbox: 0.565935 loss_dfl: 0.465670 loss: 2.124071 eta: 1 day, 17:49:28 batch_cost: 1.0663 data_cost: 0.0116 ips: 37.5138 images/s
[07/27 19:35:12] ppdet.engine INFO: Epoch: [117] [180/732] learning_rate: 0.128063 loss_vfl: 1.104995 loss_bbox: 0.584231 loss_dfl: 0.476132 loss: 2.199382 eta: 1 day, 17:49:07 batch_cost: 1.1489 data_cost: 0.0066 ips: 34.8168 images/s
[07/27 19:35:40] ppdet.engine INFO: Epoch: [117] [200/732] learning_rate: 0.128034 loss_vfl: 1.097668 loss_bbox: 0.559251 loss_dfl: 0.468951 loss: 2.131532 eta: 1 day, 17:48:47 batch_cost: 1.2270 data_cost: 0.0085 ips: 32.6003 images/s
[07/27 19:36:07] ppdet.engine INFO: Epoch: [117] [220/732] learning_rate: 0.128005 loss_vfl: 1.087834 loss_bbox: 0.542071 loss_dfl: 0.456256 loss: 2.073009 eta: 1 day, 17:48:28 batch_cost: 1.2194 data_cost: 0.0044 ips: 32.8019 images/s
[07/27 19:36:32] ppdet.engine INFO: Epoch: [117] [240/732] learning_rate: 0.127977 loss_vfl: 1.149873 loss_bbox: 0.590347 loss_dfl: 0.486873 loss: 2.236743 eta: 1 day, 17:48:03 batch_cost: 1.0607 data_cost: 0.0074 ips: 37.7108 images/s
[07/27 19:36:59] ppdet.engine INFO: Epoch: [117] [260/732] learning_rate: 0.127948 loss_vfl: 1.060359 loss_bbox: 0.560993 loss_dfl: 0.463016 loss: 2.091010 eta: 1 day, 17:47:41 batch_cost: 1.1536 data_cost: 0.0040 ips: 34.6750 images/s
[07/27 19:37:24] ppdet.engine INFO: Epoch: [117] [280/732] learning_rate: 0.127919 loss_vfl: 1.116798 loss_bbox: 0.594174 loss_dfl: 0.489815 loss: 2.198731 eta: 1 day, 17:47:17 batch_cost: 1.0611 data_cost: 0.0090 ips: 37.6963 images/s
[07/27 19:37:52] ppdet.engine INFO: Epoch: [117] [300/732] learning_rate: 0.127890 loss_vfl: 1.117625 loss_bbox: 0.589310 loss_dfl: 0.478237 loss: 2.168427 eta: 1 day, 17:46:58 batch_cost: 1.2246 data_cost: 0.0052 ips: 32.6648 images/s
[07/27 19:38:21] ppdet.engine INFO: Epoch: [117] [320/732] learning_rate: 0.127862 loss_vfl: 1.091318 loss_bbox: 0.562252 loss_dfl: 0.478588 loss: 2.160790 eta: 1 day, 17:46:35 batch_cost: 1.1306 data_cost: 0.0264 ips: 35.3799 images/s
[07/27 19:38:48] ppdet.engine INFO: Epoch: [117] [340/732] learning_rate: 0.127833 loss_vfl: 1.093958 loss_bbox: 0.566635 loss_dfl: 0.465423 loss: 2.115281 eta: 1 day, 17:46:11 batch_cost: 1.0690 data_cost: 0.0067 ips: 37.4197 images/s
[07/27 19:39:13] ppdet.engine INFO: Epoch: [117] [360/732] learning_rate: 0.127804 loss_vfl: 1.124506 loss_bbox: 0.585872 loss_dfl: 0.484805 loss: 2.183658 eta: 1 day, 17:45:45 batch_cost: 1.0061 data_cost: 0.0093 ips: 39.7582 images/s
[07/27 19:39:40] ppdet.engine INFO: Epoch: [117] [380/732] learning_rate: 0.127775 loss_vfl: 1.084759 loss_bbox: 0.575128 loss_dfl: 0.488230 loss: 2.187065 eta: 1 day, 17:45:22 batch_cost: 1.1295 data_cost: 0.0047 ips: 35.4127 images/s
[07/27 19:40:07] ppdet.engine INFO: Epoch: [117] [400/732] learning_rate: 0.127747 loss_vfl: 1.164707 loss_bbox: 0.570796 loss_dfl: 0.490358 loss: 2.230712 eta: 1 day, 17:44:58 batch_cost: 1.0580 data_cost: 0.0062 ips: 37.8066 images/s
[07/27 19:40:32] ppdet.engine INFO: Epoch: [117] [420/732] learning_rate: 0.127718 loss_vfl: 1.153030 loss_bbox: 0.591493 loss_dfl: 0.482689 loss: 2.223239 eta: 1 day, 17:44:34 batch_cost: 1.0930 data_cost: 0.0091 ips: 36.5961 images/s
[07/27 19:40:59] ppdet.engine INFO: Epoch: [117] [440/732] learning_rate: 0.127689 loss_vfl: 1.118396 loss_bbox: 0.581479 loss_dfl: 0.474342 loss: 2.169165 eta: 1 day, 17:44:11 batch_cost: 1.0995 data_cost: 0.0052 ips: 36.3808 images/s
[07/27 19:41:26] ppdet.engine INFO: Epoch: [117] [460/732] learning_rate: 0.127660 loss_vfl: 1.060731 loss_bbox: 0.552886 loss_dfl: 0.451592 loss: 2.042007 eta: 1 day, 17:43:49 batch_cost: 1.1358 data_cost: 0.0048 ips: 35.2162 images/s
[07/27 19:41:53] ppdet.engine INFO: Epoch: [117] [480/732] learning_rate: 0.127631 loss_vfl: 1.101700 loss_bbox: 0.576506 loss_dfl: 0.474024 loss: 2.150854 eta: 1 day, 17:43:23 batch_cost: 1.0326 data_cost: 0.0154 ips: 38.7363 images/s
[07/27 19:42:17] ppdet.engine INFO: Epoch: [117] [500/732] learning_rate: 0.127603 loss_vfl: 1.104121 loss_bbox: 0.558214 loss_dfl: 0.472691 loss: 2.130733 eta: 1 day, 17:42:54 batch_cost: 0.9093 data_cost: 0.0033 ips: 43.9899 images/s
[07/27 19:42:45] ppdet.engine INFO: Epoch: [117] [520/732] learning_rate: 0.127574 loss_vfl: 1.076930 loss_bbox: 0.567176 loss_dfl: 0.470149 loss: 2.116871 eta: 1 day, 17:42:31 batch_cost: 1.1158 data_cost: 0.0102 ips: 35.8484 images/s
[07/27 19:43:10] ppdet.engine INFO: Epoch: [117] [540/732] learning_rate: 0.127545 loss_vfl: 1.144709 loss_bbox: 0.570331 loss_dfl: 0.481046 loss: 2.199512 eta: 1 day, 17:42:05 batch_cost: 1.0134 data_cost: 0.0082 ips: 39.4701 images/s
[07/27 19:43:37] ppdet.engine INFO: Epoch: [117] [560/732] learning_rate: 0.127516 loss_vfl: 1.148440 loss_bbox: 0.611511 loss_dfl: 0.500744 loss: 2.262129 eta: 1 day, 17:41:43 batch_cost: 1.1133 data_cost: 0.0047 ips: 35.9295 images/s
[07/27 19:44:04] ppdet.engine INFO: Epoch: [117] [580/732] learning_rate: 0.127487 loss_vfl: 1.124697 loss_bbox: 0.560916 loss_dfl: 0.473018 loss: 2.164449 eta: 1 day, 17:41:19 batch_cost: 1.1022 data_cost: 0.0113 ips: 36.2924 images/s
[07/27 19:44:29] ppdet.engine INFO: Epoch: [117] [600/732] learning_rate: 0.127459 loss_vfl: 1.148145 loss_bbox: 0.570793 loss_dfl: 0.477559 loss: 2.206219 eta: 1 day, 17:40:52 batch_cost: 0.9713 data_cost: 0.0043 ips: 41.1838 images/s
[07/27 19:44:54] ppdet.engine INFO: Epoch: [117] [620/732] learning_rate: 0.127430 loss_vfl: 1.118567 loss_bbox: 0.575688 loss_dfl: 0.482699 loss: 2.176494 eta: 1 day, 17:40:25 batch_cost: 0.9709 data_cost: 0.0088 ips: 41.1998 images/s
[07/27 19:45:21] ppdet.engine INFO: Epoch: [117] [640/732] learning_rate: 0.127401 loss_vfl: 1.151606 loss_bbox: 0.620635 loss_dfl: 0.498849 loss: 2.277585 eta: 1 day, 17:40:00 batch_cost: 1.0466 data_cost: 0.0082 ips: 38.2194 images/s
[07/27 19:45:47] ppdet.engine INFO: Epoch: [117] [660/732] learning_rate: 0.127372 loss_vfl: 1.122848 loss_bbox: 0.593896 loss_dfl: 0.487475 loss: 2.212842 eta: 1 day, 17:39:35 batch_cost: 1.0388 data_cost: 0.0065 ips: 38.5050 images/s
[07/27 19:46:14] ppdet.engine INFO: Epoch: [117] [680/732] learning_rate: 0.127343 loss_vfl: 1.107627 loss_bbox: 0.587397 loss_dfl: 0.485422 loss: 2.195939 eta: 1 day, 17:39:11 batch_cost: 1.0776 data_cost: 0.0112 ips: 37.1192 images/s
[07/27 19:46:40] ppdet.engine INFO: Epoch: [117] [700/732] learning_rate: 0.127315 loss_vfl: 1.070678 loss_bbox: 0.543057 loss_dfl: 0.461352 loss: 2.109553 eta: 1 day, 17:38:44 batch_cost: 0.9939 data_cost: 0.0123 ips: 40.2460 images/s
[07/27 19:47:07] ppdet.engine INFO: Epoch: [117] [720/732] learning_rate: 0.127286 loss_vfl: 1.138044 loss_bbox: 0.595205 loss_dfl: 0.474817 loss: 2.167293 eta: 1 day, 17:38:18 batch_cost: 1.0205 data_cost: 0.0043 ips: 39.1960 images/s
[07/27 19:47:27] ppdet.engine INFO: Epoch: [118] [  0/732] learning_rate: 0.127269 loss_vfl: 1.091690 loss_bbox: 0.566675 loss_dfl: 0.471521 loss: 2.160189 eta: 1 day, 17:38:10 batch_cost: 1.2621 data_cost: 0.3990 ips: 31.6926 images/s
[07/27 19:47:57] ppdet.engine INFO: Epoch: [118] [ 20/732] learning_rate: 0.127240 loss_vfl: 1.129467 loss_bbox: 0.570185 loss_dfl: 0.475861 loss: 2.164477 eta: 1 day, 17:37:44 batch_cost: 1.0073 data_cost: 0.0046 ips: 39.7105 images/s
[07/27 19:48:23] ppdet.engine INFO: Epoch: [118] [ 40/732] learning_rate: 0.127211 loss_vfl: 1.131351 loss_bbox: 0.563619 loss_dfl: 0.474311 loss: 2.147741 eta: 1 day, 17:37:18 batch_cost: 1.0180 data_cost: 0.0081 ips: 39.2937 images/s
[07/27 19:48:51] ppdet.engine INFO: Epoch: [118] [ 60/732] learning_rate: 0.127182 loss_vfl: 1.088940 loss_bbox: 0.567170 loss_dfl: 0.470274 loss: 2.110142 eta: 1 day, 17:36:55 batch_cost: 1.0972 data_cost: 0.0065 ips: 36.4572 images/s
[07/27 19:49:16] ppdet.engine INFO: Epoch: [118] [ 80/732] learning_rate: 0.127153 loss_vfl: 1.113753 loss_bbox: 0.553733 loss_dfl: 0.470388 loss: 2.112694 eta: 1 day, 17:36:27 batch_cost: 0.9454 data_cost: 0.0057 ips: 42.3080 images/s
[07/27 19:49:43] ppdet.engine INFO: Epoch: [118] [100/732] learning_rate: 0.127124 loss_vfl: 1.095997 loss_bbox: 0.564822 loss_dfl: 0.457716 loss: 2.121049 eta: 1 day, 17:36:02 batch_cost: 1.0559 data_cost: 0.0069 ips: 37.8841 images/s
[07/27 19:50:09] ppdet.engine INFO: Epoch: [118] [120/732] learning_rate: 0.127096 loss_vfl: 1.168218 loss_bbox: 0.607604 loss_dfl: 0.506731 loss: 2.253860 eta: 1 day, 17:35:38 batch_cost: 1.0648 data_cost: 0.0065 ips: 37.5650 images/s
[07/27 19:50:36] ppdet.engine INFO: Epoch: [118] [140/732] learning_rate: 0.127067 loss_vfl: 1.128009 loss_bbox: 0.578734 loss_dfl: 0.479733 loss: 2.179123 eta: 1 day, 17:35:14 batch_cost: 1.0755 data_cost: 0.0144 ips: 37.1911 images/s
[07/27 19:51:02] ppdet.engine INFO: Epoch: [118] [160/732] learning_rate: 0.127038 loss_vfl: 1.140697 loss_bbox: 0.567232 loss_dfl: 0.477235 loss: 2.182769 eta: 1 day, 17:34:49 batch_cost: 1.0390 data_cost: 0.0112 ips: 38.4971 images/s
[07/27 19:51:28] ppdet.engine INFO: Epoch: [118] [180/732] learning_rate: 0.127009 loss_vfl: 1.108647 loss_bbox: 0.562228 loss_dfl: 0.467306 loss: 2.120118 eta: 1 day, 17:34:24 batch_cost: 1.0474 data_cost: 0.0056 ips: 38.1903 images/s
[07/27 19:51:55] ppdet.engine INFO: Epoch: [118] [200/732] learning_rate: 0.126980 loss_vfl: 1.059169 loss_bbox: 0.543973 loss_dfl: 0.447442 loss: 2.040386 eta: 1 day, 17:33:59 batch_cost: 1.0312 data_cost: 0.0031 ips: 38.7910 images/s
[07/27 19:52:19] ppdet.engine INFO: Epoch: [118] [220/732] learning_rate: 0.126951 loss_vfl: 1.106861 loss_bbox: 0.558671 loss_dfl: 0.467044 loss: 2.123866 eta: 1 day, 17:33:31 batch_cost: 0.9580 data_cost: 0.0057 ips: 41.7532 images/s
[07/27 19:52:46] ppdet.engine INFO: Epoch: [118] [240/732] learning_rate: 0.126923 loss_vfl: 1.115996 loss_bbox: 0.564524 loss_dfl: 0.465486 loss: 2.124347 eta: 1 day, 17:33:06 batch_cost: 1.0268 data_cost: 0.0201 ips: 38.9555 images/s
[07/27 19:53:13] ppdet.engine INFO: Epoch: [118] [260/732] learning_rate: 0.126894 loss_vfl: 1.148097 loss_bbox: 0.596280 loss_dfl: 0.495188 loss: 2.257827 eta: 1 day, 17:32:41 batch_cost: 1.0655 data_cost: 0.0037 ips: 37.5426 images/s
[07/27 19:53:39] ppdet.engine INFO: Epoch: [118] [280/732] learning_rate: 0.126865 loss_vfl: 1.152064 loss_bbox: 0.587182 loss_dfl: 0.491632 loss: 2.244542 eta: 1 day, 17:32:16 batch_cost: 1.0401 data_cost: 0.0111 ips: 38.4572 images/s
[07/27 19:54:04] ppdet.engine INFO: Epoch: [118] [300/732] learning_rate: 0.126836 loss_vfl: 1.068642 loss_bbox: 0.568971 loss_dfl: 0.456551 loss: 2.087735 eta: 1 day, 17:31:48 batch_cost: 0.9501 data_cost: 0.0122 ips: 42.1002 images/s
[07/27 19:54:30] ppdet.engine INFO: Epoch: [118] [320/732] learning_rate: 0.126807 loss_vfl: 1.105356 loss_bbox: 0.594465 loss_dfl: 0.477796 loss: 2.177288 eta: 1 day, 17:31:22 batch_cost: 1.0111 data_cost: 0.0050 ips: 39.5626 images/s
[07/27 19:54:58] ppdet.engine INFO: Epoch: [118] [340/732] learning_rate: 0.126778 loss_vfl: 1.110414 loss_bbox: 0.573320 loss_dfl: 0.486139 loss: 2.152923 eta: 1 day, 17:31:00 batch_cost: 1.1323 data_cost: 0.1002 ips: 35.3259 images/s
[07/27 19:55:23] ppdet.engine INFO: Epoch: [118] [360/732] learning_rate: 0.126750 loss_vfl: 1.141080 loss_bbox: 0.576311 loss_dfl: 0.480752 loss: 2.218802 eta: 1 day, 17:30:33 batch_cost: 0.9886 data_cost: 0.0080 ips: 40.4602 images/s
[07/27 19:55:50] ppdet.engine INFO: Epoch: [118] [380/732] learning_rate: 0.126721 loss_vfl: 1.129840 loss_bbox: 0.597700 loss_dfl: 0.491446 loss: 2.214652 eta: 1 day, 17:30:09 batch_cost: 1.0707 data_cost: 0.0219 ips: 37.3603 images/s
[07/27 19:56:18] ppdet.engine INFO: Epoch: [118] [400/732] learning_rate: 0.126692 loss_vfl: 1.041031 loss_bbox: 0.554877 loss_dfl: 0.461157 loss: 2.083764 eta: 1 day, 17:29:47 batch_cost: 1.1403 data_cost: 0.0093 ips: 35.0771 images/s
[07/27 19:56:43] ppdet.engine INFO: Epoch: [118] [420/732] learning_rate: 0.126663 loss_vfl: 1.097175 loss_bbox: 0.562378 loss_dfl: 0.462390 loss: 2.120509 eta: 1 day, 17:29:24 batch_cost: 1.0979 data_cost: 0.0015 ips: 36.4335 images/s
[07/27 19:57:11] ppdet.engine INFO: Epoch: [118] [440/732] learning_rate: 0.126634 loss_vfl: 1.149944 loss_bbox: 0.591317 loss_dfl: 0.498629 loss: 2.260225 eta: 1 day, 17:29:01 batch_cost: 1.1042 data_cost: 0.0062 ips: 36.2251 images/s
[07/27 19:57:36] ppdet.engine INFO: Epoch: [118] [460/732] learning_rate: 0.126605 loss_vfl: 1.138278 loss_bbox: 0.585606 loss_dfl: 0.496494 loss: 2.241575 eta: 1 day, 17:28:35 batch_cost: 1.0024 data_cost: 0.0058 ips: 39.9058 images/s
[07/27 19:58:03] ppdet.engine INFO: Epoch: [118] [480/732] learning_rate: 0.126576 loss_vfl: 1.138470 loss_bbox: 0.585195 loss_dfl: 0.488980 loss: 2.212173 eta: 1 day, 17:28:09 batch_cost: 1.0334 data_cost: 0.0135 ips: 38.7053 images/s
[07/27 19:58:31] ppdet.engine INFO: Epoch: [118] [500/732] learning_rate: 0.126548 loss_vfl: 1.078264 loss_bbox: 0.562678 loss_dfl: 0.475387 loss: 2.132258 eta: 1 day, 17:27:49 batch_cost: 1.2065 data_cost: 0.0091 ips: 33.1524 images/s
[07/27 19:58:56] ppdet.engine INFO: Epoch: [118] [520/732] learning_rate: 0.126519 loss_vfl: 1.126113 loss_bbox: 0.545109 loss_dfl: 0.466851 loss: 2.145448 eta: 1 day, 17:27:22 batch_cost: 0.9641 data_cost: 0.0076 ips: 41.4897 images/s
[07/27 19:59:23] ppdet.engine INFO: Epoch: [118] [540/732] learning_rate: 0.126490 loss_vfl: 1.115007 loss_bbox: 0.576181 loss_dfl: 0.478223 loss: 2.158068 eta: 1 day, 17:26:58 batch_cost: 1.0791 data_cost: 0.0091 ips: 37.0680 images/s
[07/27 19:59:50] ppdet.engine INFO: Epoch: [118] [560/732] learning_rate: 0.126461 loss_vfl: 1.170321 loss_bbox: 0.592459 loss_dfl: 0.487984 loss: 2.242111 eta: 1 day, 17:26:32 batch_cost: 1.0124 data_cost: 0.0091 ips: 39.5115 images/s
[07/27 20:00:17] ppdet.engine INFO: Epoch: [118] [580/732] learning_rate: 0.126432 loss_vfl: 1.093943 loss_bbox: 0.577567 loss_dfl: 0.475699 loss: 2.146944 eta: 1 day, 17:26:09 batch_cost: 1.1024 data_cost: 0.0098 ips: 36.2835 images/s
[07/27 20:00:44] ppdet.engine INFO: Epoch: [118] [600/732] learning_rate: 0.126403 loss_vfl: 1.111761 loss_bbox: 0.578610 loss_dfl: 0.482152 loss: 2.141895 eta: 1 day, 17:25:48 batch_cost: 1.1782 data_cost: 0.0065 ips: 33.9501 images/s
[07/27 20:01:12] ppdet.engine INFO: Epoch: [118] [620/732] learning_rate: 0.126374 loss_vfl: 1.131223 loss_bbox: 0.583799 loss_dfl: 0.487784 loss: 2.201529 eta: 1 day, 17:25:26 batch_cost: 1.1447 data_cost: 0.0087 ips: 34.9425 images/s
[07/27 20:01:37] ppdet.engine INFO: Epoch: [118] [640/732] learning_rate: 0.126346 loss_vfl: 1.095330 loss_bbox: 0.557564 loss_dfl: 0.473060 loss: 2.146453 eta: 1 day, 17:25:01 batch_cost: 1.0351 data_cost: 0.0075 ips: 38.6425 images/s
[07/27 20:02:02] ppdet.engine INFO: Epoch: [118] [660/732] learning_rate: 0.126317 loss_vfl: 1.062704 loss_bbox: 0.564642 loss_dfl: 0.455939 loss: 2.084824 eta: 1 day, 17:24:36 batch_cost: 1.0569 data_cost: 0.0078 ips: 37.8480 images/s
[07/27 20:02:30] ppdet.engine INFO: Epoch: [118] [680/732] learning_rate: 0.126288 loss_vfl: 1.086752 loss_bbox: 0.564517 loss_dfl: 0.456749 loss: 2.111796 eta: 1 day, 17:24:14 batch_cost: 1.1396 data_cost: 0.0061 ips: 35.0993 images/s
[07/27 20:02:55] ppdet.engine INFO: Epoch: [118] [700/732] learning_rate: 0.126259 loss_vfl: 1.142166 loss_bbox: 0.551035 loss_dfl: 0.466570 loss: 2.164468 eta: 1 day, 17:23:50 batch_cost: 1.0666 data_cost: 0.0082 ips: 37.5008 images/s
[07/27 20:03:19] ppdet.engine INFO: Epoch: [118] [720/732] learning_rate: 0.126230 loss_vfl: 1.114948 loss_bbox: 0.572708 loss_dfl: 0.472525 loss: 2.145914 eta: 1 day, 17:23:23 batch_cost: 0.9842 data_cost: 0.0173 ips: 40.6419 images/s
[07/27 20:03:40] ppdet.engine INFO: Epoch: [119] [  0/732] learning_rate: 0.126213 loss_vfl: 1.092631 loss_bbox: 0.567370 loss_dfl: 0.458186 loss: 2.086058 eta: 1 day, 17:23:17 batch_cost: 1.2878 data_cost: 0.5058 ips: 31.0616 images/s
[07/27 20:04:08] ppdet.engine INFO: Epoch: [119] [ 20/732] learning_rate: 0.126184 loss_vfl: 1.123585 loss_bbox: 0.570138 loss_dfl: 0.473042 loss: 2.169664 eta: 1 day, 17:22:55 batch_cost: 1.1496 data_cost: 0.0102 ips: 34.7933 images/s
[07/27 20:04:35] ppdet.engine INFO: Epoch: [119] [ 40/732] learning_rate: 0.126155 loss_vfl: 1.153135 loss_bbox: 0.611627 loss_dfl: 0.500674 loss: 2.265548 eta: 1 day, 17:22:31 batch_cost: 1.0906 data_cost: 0.0052 ips: 36.6783 images/s
[07/27 20:05:00] ppdet.engine INFO: Epoch: [119] [ 60/732] learning_rate: 0.126126 loss_vfl: 1.097064 loss_bbox: 0.572521 loss_dfl: 0.471527 loss: 2.120342 eta: 1 day, 17:22:05 batch_cost: 1.0094 data_cost: 0.0051 ips: 39.6290 images/s
[07/27 20:05:26] ppdet.engine INFO: Epoch: [119] [ 80/732] learning_rate: 0.126097 loss_vfl: 1.141579 loss_bbox: 0.589948 loss_dfl: 0.493157 loss: 2.218430 eta: 1 day, 17:21:41 batch_cost: 1.0613 data_cost: 0.0072 ips: 37.6911 images/s
[07/27 20:05:55] ppdet.engine INFO: Epoch: [119] [100/732] learning_rate: 0.126068 loss_vfl: 1.102312 loss_bbox: 0.578196 loss_dfl: 0.484515 loss: 2.149046 eta: 1 day, 17:21:18 batch_cost: 1.0971 data_cost: 0.0237 ips: 36.4584 images/s
[07/27 20:06:21] ppdet.engine INFO: Epoch: [119] [120/732] learning_rate: 0.126039 loss_vfl: 1.136566 loss_bbox: 0.583930 loss_dfl: 0.480306 loss: 2.197895 eta: 1 day, 17:20:53 batch_cost: 1.0538 data_cost: 0.0151 ips: 37.9570 images/s
[07/27 20:06:46] ppdet.engine INFO: Epoch: [119] [140/732] learning_rate: 0.126010 loss_vfl: 1.126894 loss_bbox: 0.590507 loss_dfl: 0.481240 loss: 2.190384 eta: 1 day, 17:20:27 batch_cost: 1.0008 data_cost: 0.0061 ips: 39.9695 images/s
[07/27 20:07:14] ppdet.engine INFO: Epoch: [119] [160/732] learning_rate: 0.125982 loss_vfl: 1.148864 loss_bbox: 0.581516 loss_dfl: 0.485602 loss: 2.203309 eta: 1 day, 17:20:04 batch_cost: 1.1262 data_cost: 0.0072 ips: 35.5188 images/s
[07/27 20:07:39] ppdet.engine INFO: Epoch: [119] [180/732] learning_rate: 0.125953 loss_vfl: 1.113450 loss_bbox: 0.585142 loss_dfl: 0.475225 loss: 2.158219 eta: 1 day, 17:19:38 batch_cost: 0.9867 data_cost: 0.0051 ips: 40.5382 images/s
[07/27 20:08:05] ppdet.engine INFO: Epoch: [119] [200/732] learning_rate: 0.125924 loss_vfl: 1.089473 loss_bbox: 0.555959 loss_dfl: 0.462459 loss: 2.126833 eta: 1 day, 17:19:14 batch_cost: 1.0727 data_cost: 0.0037 ips: 37.2881 images/s
[07/27 20:08:32] ppdet.engine INFO: Epoch: [119] [220/732] learning_rate: 0.125895 loss_vfl: 1.100872 loss_bbox: 0.589406 loss_dfl: 0.477285 loss: 2.156786 eta: 1 day, 17:18:52 batch_cost: 1.1666 data_cost: 0.0113 ips: 34.2868 images/s
[07/27 20:09:02] ppdet.engine INFO: Epoch: [119] [240/732] learning_rate: 0.125866 loss_vfl: 1.091232 loss_bbox: 0.558451 loss_dfl: 0.466094 loss: 2.115750 eta: 1 day, 17:18:34 batch_cost: 1.2487 data_cost: 0.0027 ips: 32.0341 images/s
[07/27 20:09:27] ppdet.engine INFO: Epoch: [119] [260/732] learning_rate: 0.125837 loss_vfl: 1.099735 loss_bbox: 0.558151 loss_dfl: 0.477344 loss: 2.140846 eta: 1 day, 17:18:10 batch_cost: 1.0892 data_cost: 0.0052 ips: 36.7256 images/s
[07/27 20:09:55] ppdet.engine INFO: Epoch: [119] [280/732] learning_rate: 0.125808 loss_vfl: 1.169789 loss_bbox: 0.584108 loss_dfl: 0.488875 loss: 2.237664 eta: 1 day, 17:17:48 batch_cost: 1.1565 data_cost: 0.0044 ips: 34.5886 images/s
[07/27 20:10:20] ppdet.engine INFO: Epoch: [119] [300/732] learning_rate: 0.125779 loss_vfl: 1.109798 loss_bbox: 0.588378 loss_dfl: 0.486260 loss: 2.198706 eta: 1 day, 17:17:19 batch_cost: 0.9046 data_cost: 0.0061 ips: 44.2209 images/s
[07/27 20:10:47] ppdet.engine INFO: Epoch: [119] [320/732] learning_rate: 0.125750 loss_vfl: 1.111834 loss_bbox: 0.579808 loss_dfl: 0.472305 loss: 2.180715 eta: 1 day, 17:16:58 batch_cost: 1.1745 data_cost: 0.0086 ips: 34.0581 images/s
[07/27 20:11:14] ppdet.engine INFO: Epoch: [119] [340/732] learning_rate: 0.125721 loss_vfl: 1.104706 loss_bbox: 0.563359 loss_dfl: 0.473593 loss: 2.156435 eta: 1 day, 17:16:35 batch_cost: 1.0963 data_cost: 0.0111 ips: 36.4850 images/s
[07/27 20:11:40] ppdet.engine INFO: Epoch: [119] [360/732] learning_rate: 0.125692 loss_vfl: 1.099278 loss_bbox: 0.571341 loss_dfl: 0.474013 loss: 2.136357 eta: 1 day, 17:16:13 batch_cost: 1.1416 data_cost: 0.0010 ips: 35.0373 images/s
[07/27 20:12:06] ppdet.engine INFO: Epoch: [119] [380/732] learning_rate: 0.125664 loss_vfl: 1.131643 loss_bbox: 0.575131 loss_dfl: 0.479635 loss: 2.156742 eta: 1 day, 17:15:48 batch_cost: 1.0351 data_cost: 0.0064 ips: 38.6420 images/s
[07/27 20:12:32] ppdet.engine INFO: Epoch: [119] [400/732] learning_rate: 0.125635 loss_vfl: 1.175321 loss_bbox: 0.593953 loss_dfl: 0.499842 loss: 2.291506 eta: 1 day, 17:15:23 batch_cost: 1.0306 data_cost: 0.0074 ips: 38.8114 images/s
[07/27 20:13:00] ppdet.engine INFO: Epoch: [119] [420/732] learning_rate: 0.125606 loss_vfl: 1.139141 loss_bbox: 0.588396 loss_dfl: 0.483165 loss: 2.215287 eta: 1 day, 17:15:01 batch_cost: 1.1476 data_cost: 0.0095 ips: 34.8552 images/s
[07/27 20:13:24] ppdet.engine INFO: Epoch: [119] [440/732] learning_rate: 0.125577 loss_vfl: 1.174716 loss_bbox: 0.616227 loss_dfl: 0.507059 loss: 2.298005 eta: 1 day, 17:14:36 batch_cost: 1.0331 data_cost: 0.0057 ips: 38.7166 images/s
[07/27 20:13:49] ppdet.engine INFO: Epoch: [119] [460/732] learning_rate: 0.125548 loss_vfl: 1.131279 loss_bbox: 0.582866 loss_dfl: 0.490507 loss: 2.226852 eta: 1 day, 17:14:09 batch_cost: 0.9872 data_cost: 0.0113 ips: 40.5193 images/s
[07/27 20:14:16] ppdet.engine INFO: Epoch: [119] [480/732] learning_rate: 0.125519 loss_vfl: 1.120824 loss_bbox: 0.555292 loss_dfl: 0.472734 loss: 2.131236 eta: 1 day, 17:13:48 batch_cost: 1.1748 data_cost: 0.0067 ips: 34.0477 images/s
[07/27 20:14:40] ppdet.engine INFO: Epoch: [119] [500/732] learning_rate: 0.125490 loss_vfl: 1.106163 loss_bbox: 0.551210 loss_dfl: 0.459754 loss: 2.099059 eta: 1 day, 17:13:21 batch_cost: 0.9719 data_cost: 0.0089 ips: 41.1553 images/s
[07/27 20:15:06] ppdet.engine INFO: Epoch: [119] [520/732] learning_rate: 0.125461 loss_vfl: 1.101513 loss_bbox: 0.566168 loss_dfl: 0.477778 loss: 2.155222 eta: 1 day, 17:12:58 batch_cost: 1.1053 data_cost: 0.0061 ips: 36.1905 images/s
[07/27 20:15:32] ppdet.engine INFO: Epoch: [119] [540/732] learning_rate: 0.125432 loss_vfl: 1.152580 loss_bbox: 0.583334 loss_dfl: 0.493924 loss: 2.229839 eta: 1 day, 17:12:32 batch_cost: 1.0177 data_cost: 0.0173 ips: 39.3027 images/s
[07/27 20:15:58] ppdet.engine INFO: Epoch: [119] [560/732] learning_rate: 0.125403 loss_vfl: 1.098603 loss_bbox: 0.571718 loss_dfl: 0.463628 loss: 2.132801 eta: 1 day, 17:12:07 batch_cost: 1.0364 data_cost: 0.0075 ips: 38.5938 images/s
[07/27 20:16:23] ppdet.engine INFO: Epoch: [119] [580/732] learning_rate: 0.125374 loss_vfl: 1.061976 loss_bbox: 0.543048 loss_dfl: 0.449214 loss: 2.027185 eta: 1 day, 17:11:42 batch_cost: 1.0294 data_cost: 0.0066 ips: 38.8574 images/s
[07/27 20:16:49] ppdet.engine INFO: Epoch: [119] [600/732] learning_rate: 0.125345 loss_vfl: 1.118554 loss_bbox: 0.603972 loss_dfl: 0.488869 loss: 2.191839 eta: 1 day, 17:11:16 batch_cost: 1.0286 data_cost: 0.0072 ips: 38.8891 images/s
[07/27 20:17:16] ppdet.engine INFO: Epoch: [119] [620/732] learning_rate: 0.125316 loss_vfl: 1.094063 loss_bbox: 0.587868 loss_dfl: 0.481823 loss: 2.144125 eta: 1 day, 17:10:55 batch_cost: 1.1742 data_cost: 0.0049 ips: 34.0647 images/s
[07/27 20:17:42] ppdet.engine INFO: Epoch: [119] [640/732] learning_rate: 0.125287 loss_vfl: 1.126582 loss_bbox: 0.603688 loss_dfl: 0.487465 loss: 2.219262 eta: 1 day, 17:10:32 batch_cost: 1.0878 data_cost: 0.0103 ips: 36.7712 images/s
[07/27 20:18:07] ppdet.engine INFO: Epoch: [119] [660/732] learning_rate: 0.125259 loss_vfl: 1.121073 loss_bbox: 0.576026 loss_dfl: 0.476312 loss: 2.159645 eta: 1 day, 17:10:05 batch_cost: 0.9840 data_cost: 0.0076 ips: 40.6500 images/s
[07/27 20:18:34] ppdet.engine INFO: Epoch: [119] [680/732] learning_rate: 0.125230 loss_vfl: 1.068251 loss_bbox: 0.562286 loss_dfl: 0.453940 loss: 2.076955 eta: 1 day, 17:09:45 batch_cost: 1.2026 data_cost: 0.0023 ips: 33.2623 images/s
[07/27 20:19:01] ppdet.engine INFO: Epoch: [119] [700/732] learning_rate: 0.125201 loss_vfl: 1.151016 loss_bbox: 0.603790 loss_dfl: 0.503212 loss: 2.285243 eta: 1 day, 17:09:19 batch_cost: 1.0065 data_cost: 0.0129 ips: 39.7429 images/s
[07/27 20:19:24] ppdet.engine INFO: Epoch: [119] [720/732] learning_rate: 0.125172 loss_vfl: 1.094495 loss_bbox: 0.568472 loss_dfl: 0.469071 loss: 2.135200 eta: 1 day, 17:08:53 batch_cost: 0.9970 data_cost: 0.0058 ips: 40.1199 images/s
[07/27 20:19:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 20:19:35] ppdet.engine INFO: Eval iter: 0
[07/27 20:19:57] ppdet.engine INFO: Eval iter: 100
[07/27 20:20:07] ppdet.engine INFO: Eval iter: 200
[07/27 20:20:17] ppdet.engine INFO: Eval iter: 300
[07/27 20:20:27] ppdet.engine INFO: Eval iter: 400
[07/27 20:20:37] ppdet.engine INFO: Eval iter: 500
[07/27 20:20:47] ppdet.engine INFO: Eval iter: 600
[07/27 20:21:03] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.63s)
creating index...
index created!
[07/27 20:21:04] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.40s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=99.70s).
Accumulating evaluation results...
DONE (t=19.48s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.255
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.384
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.271
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.097
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.266
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.393
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.251
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.415
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.442
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.181
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.489
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.668
[07/27 20:23:11] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.68003733652417
[07/27 20:23:11] ppdet.engine INFO: Best test bbox ap is 0.255.
[07/27 20:23:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 20:23:12] ppdet.engine INFO: Epoch: [120] [  0/732] learning_rate: 0.125154 loss_vfl: 1.134344 loss_bbox: 0.584149 loss_dfl: 0.475825 loss: 2.179777 eta: 1 day, 17:08:30 batch_cost: 0.7835 data_cost: 0.0044 ips: 51.0512 images/s
[07/27 20:23:37] ppdet.engine INFO: Epoch: [120] [ 20/732] learning_rate: 0.125125 loss_vfl: 1.086315 loss_bbox: 0.562091 loss_dfl: 0.464498 loss: 2.121319 eta: 1 day, 17:08:05 batch_cost: 1.0565 data_cost: 0.0042 ips: 37.8622 images/s
[07/27 20:24:04] ppdet.engine INFO: Epoch: [120] [ 40/732] learning_rate: 0.125096 loss_vfl: 1.081255 loss_bbox: 0.573701 loss_dfl: 0.470925 loss: 2.119423 eta: 1 day, 17:07:41 batch_cost: 1.0676 data_cost: 0.0043 ips: 37.4680 images/s
[07/27 20:24:29] ppdet.engine INFO: Epoch: [120] [ 60/732] learning_rate: 0.125067 loss_vfl: 1.140723 loss_bbox: 0.601978 loss_dfl: 0.488295 loss: 2.219562 eta: 1 day, 17:07:14 batch_cost: 0.9854 data_cost: 0.0072 ips: 40.5928 images/s
[07/27 20:24:57] ppdet.engine INFO: Epoch: [120] [ 80/732] learning_rate: 0.125039 loss_vfl: 1.130947 loss_bbox: 0.582952 loss_dfl: 0.493165 loss: 2.217286 eta: 1 day, 17:06:53 batch_cost: 1.1687 data_cost: 0.0069 ips: 34.2265 images/s
[07/27 20:25:23] ppdet.engine INFO: Epoch: [120] [100/732] learning_rate: 0.125010 loss_vfl: 1.061457 loss_bbox: 0.530484 loss_dfl: 0.444344 loss: 2.041484 eta: 1 day, 17:06:31 batch_cost: 1.1176 data_cost: 0.0058 ips: 35.7902 images/s
[07/27 20:25:51] ppdet.engine INFO: Epoch: [120] [120/732] learning_rate: 0.124981 loss_vfl: 1.089371 loss_bbox: 0.566573 loss_dfl: 0.468551 loss: 2.125538 eta: 1 day, 17:06:05 batch_cost: 1.0309 data_cost: 0.0073 ips: 38.7996 images/s
[07/27 20:26:16] ppdet.engine INFO: Epoch: [120] [140/732] learning_rate: 0.124952 loss_vfl: 1.092138 loss_bbox: 0.567737 loss_dfl: 0.471303 loss: 2.125940 eta: 1 day, 17:05:38 batch_cost: 0.9501 data_cost: 0.0095 ips: 42.0987 images/s
[07/27 20:26:44] ppdet.engine INFO: Epoch: [120] [160/732] learning_rate: 0.124923 loss_vfl: 1.103509 loss_bbox: 0.567956 loss_dfl: 0.469353 loss: 2.135475 eta: 1 day, 17:05:13 batch_cost: 1.0598 data_cost: 0.0072 ips: 37.7412 images/s
[07/27 20:27:10] ppdet.engine INFO: Epoch: [120] [180/732] learning_rate: 0.124894 loss_vfl: 1.073601 loss_bbox: 0.572500 loss_dfl: 0.465586 loss: 2.096507 eta: 1 day, 17:04:48 batch_cost: 1.0373 data_cost: 0.0071 ips: 38.5614 images/s
[07/27 20:27:38] ppdet.engine INFO: Epoch: [120] [200/732] learning_rate: 0.124865 loss_vfl: 1.114625 loss_bbox: 0.548274 loss_dfl: 0.478811 loss: 2.141710 eta: 1 day, 17:04:28 batch_cost: 1.1957 data_cost: 0.0165 ips: 33.4543 images/s
[07/27 20:28:03] ppdet.engine INFO: Epoch: [120] [220/732] learning_rate: 0.124836 loss_vfl: 1.120258 loss_bbox: 0.582205 loss_dfl: 0.493749 loss: 2.218187 eta: 1 day, 17:04:01 batch_cost: 0.9752 data_cost: 0.0083 ips: 41.0186 images/s
[07/27 20:28:30] ppdet.engine INFO: Epoch: [120] [240/732] learning_rate: 0.124807 loss_vfl: 1.053472 loss_bbox: 0.534204 loss_dfl: 0.448229 loss: 2.026112 eta: 1 day, 17:03:39 batch_cost: 1.1390 data_cost: 0.0014 ips: 35.1186 images/s
[07/27 20:28:57] ppdet.engine INFO: Epoch: [120] [260/732] learning_rate: 0.124778 loss_vfl: 1.105961 loss_bbox: 0.586417 loss_dfl: 0.479379 loss: 2.141085 eta: 1 day, 17:03:17 batch_cost: 1.1520 data_cost: 0.0069 ips: 34.7212 images/s
[07/27 20:29:23] ppdet.engine INFO: Epoch: [120] [280/732] learning_rate: 0.124749 loss_vfl: 1.085415 loss_bbox: 0.568257 loss_dfl: 0.468748 loss: 2.122654 eta: 1 day, 17:02:54 batch_cost: 1.1009 data_cost: 0.0045 ips: 36.3354 images/s
[07/27 20:29:51] ppdet.engine INFO: Epoch: [120] [300/732] learning_rate: 0.124720 loss_vfl: 1.120085 loss_bbox: 0.567782 loss_dfl: 0.478394 loss: 2.170055 eta: 1 day, 17:02:31 batch_cost: 1.1108 data_cost: 0.0059 ips: 36.0113 images/s
[07/27 20:30:16] ppdet.engine INFO: Epoch: [120] [320/732] learning_rate: 0.124691 loss_vfl: 1.087701 loss_bbox: 0.551191 loss_dfl: 0.468213 loss: 2.125431 eta: 1 day, 17:02:07 batch_cost: 1.0527 data_cost: 0.0091 ips: 37.9966 images/s
[07/27 20:30:45] ppdet.engine INFO: Epoch: [120] [340/732] learning_rate: 0.124662 loss_vfl: 1.096902 loss_bbox: 0.548077 loss_dfl: 0.455866 loss: 2.081107 eta: 1 day, 17:01:47 batch_cost: 1.2144 data_cost: 0.2668 ips: 32.9371 images/s
[07/27 20:31:11] ppdet.engine INFO: Epoch: [120] [360/732] learning_rate: 0.124633 loss_vfl: 1.154842 loss_bbox: 0.592092 loss_dfl: 0.485756 loss: 2.219579 eta: 1 day, 17:01:22 batch_cost: 1.0547 data_cost: 0.0050 ips: 37.9242 images/s
[07/27 20:31:38] ppdet.engine INFO: Epoch: [120] [380/732] learning_rate: 0.124604 loss_vfl: 1.113648 loss_bbox: 0.576783 loss_dfl: 0.477186 loss: 2.192886 eta: 1 day, 17:00:57 batch_cost: 1.0334 data_cost: 0.0523 ips: 38.7089 images/s
[07/27 20:32:06] ppdet.engine INFO: Epoch: [120] [400/732] learning_rate: 0.124575 loss_vfl: 1.077817 loss_bbox: 0.542071 loss_dfl: 0.468405 loss: 2.093549 eta: 1 day, 17:00:35 batch_cost: 1.1500 data_cost: 0.0022 ips: 34.7813 images/s
[07/27 20:32:31] ppdet.engine INFO: Epoch: [120] [420/732] learning_rate: 0.124546 loss_vfl: 1.136825 loss_bbox: 0.564577 loss_dfl: 0.476363 loss: 2.168976 eta: 1 day, 17:00:10 batch_cost: 1.0297 data_cost: 0.0051 ips: 38.8459 images/s
[07/27 20:32:59] ppdet.engine INFO: Epoch: [120] [440/732] learning_rate: 0.124517 loss_vfl: 1.116493 loss_bbox: 0.572651 loss_dfl: 0.470703 loss: 2.153274 eta: 1 day, 16:59:45 batch_cost: 1.0392 data_cost: 0.0038 ips: 38.4915 images/s
[07/27 20:33:24] ppdet.engine INFO: Epoch: [120] [460/732] learning_rate: 0.124488 loss_vfl: 1.155436 loss_bbox: 0.596199 loss_dfl: 0.497758 loss: 2.263125 eta: 1 day, 16:59:21 batch_cost: 1.0603 data_cost: 0.0047 ips: 37.7240 images/s
[07/27 20:33:52] ppdet.engine INFO: Epoch: [120] [480/732] learning_rate: 0.124459 loss_vfl: 1.105978 loss_bbox: 0.591169 loss_dfl: 0.478740 loss: 2.164102 eta: 1 day, 16:58:57 batch_cost: 1.0876 data_cost: 0.0013 ips: 36.7772 images/s
[07/27 20:34:18] ppdet.engine INFO: Epoch: [120] [500/732] learning_rate: 0.124430 loss_vfl: 1.138310 loss_bbox: 0.572968 loss_dfl: 0.482440 loss: 2.186591 eta: 1 day, 16:58:33 batch_cost: 1.0681 data_cost: 0.0063 ips: 37.4498 images/s
[07/27 20:34:44] ppdet.engine INFO: Epoch: [120] [520/732] learning_rate: 0.124401 loss_vfl: 1.143280 loss_bbox: 0.585384 loss_dfl: 0.489596 loss: 2.218074 eta: 1 day, 16:58:05 batch_cost: 0.9433 data_cost: 0.0043 ips: 42.4046 images/s
[07/27 20:35:11] ppdet.engine INFO: Epoch: [120] [540/732] learning_rate: 0.124372 loss_vfl: 1.116792 loss_bbox: 0.575141 loss_dfl: 0.468587 loss: 2.133551 eta: 1 day, 16:57:42 batch_cost: 1.0964 data_cost: 0.0074 ips: 36.4845 images/s
[07/27 20:35:37] ppdet.engine INFO: Epoch: [120] [560/732] learning_rate: 0.124343 loss_vfl: 1.106292 loss_bbox: 0.558110 loss_dfl: 0.469460 loss: 2.134051 eta: 1 day, 16:57:19 batch_cost: 1.0936 data_cost: 0.0045 ips: 36.5759 images/s
[07/27 20:36:04] ppdet.engine INFO: Epoch: [120] [580/732] learning_rate: 0.124314 loss_vfl: 1.078327 loss_bbox: 0.541737 loss_dfl: 0.460579 loss: 2.100407 eta: 1 day, 16:56:55 batch_cost: 1.1008 data_cost: 0.0097 ips: 36.3374 images/s
[07/27 20:36:28] ppdet.engine INFO: Epoch: [120] [600/732] learning_rate: 0.124285 loss_vfl: 1.128458 loss_bbox: 0.585545 loss_dfl: 0.477223 loss: 2.198235 eta: 1 day, 16:56:28 batch_cost: 0.9711 data_cost: 0.0156 ips: 41.1919 images/s
[07/27 20:36:57] ppdet.engine INFO: Epoch: [120] [620/732] learning_rate: 0.124256 loss_vfl: 1.082151 loss_bbox: 0.559785 loss_dfl: 0.468424 loss: 2.109318 eta: 1 day, 16:56:08 batch_cost: 1.1997 data_cost: 0.0034 ips: 33.3415 images/s
[07/27 20:37:23] ppdet.engine INFO: Epoch: [120] [640/732] learning_rate: 0.124227 loss_vfl: 1.138299 loss_bbox: 0.573678 loss_dfl: 0.478616 loss: 2.196735 eta: 1 day, 16:55:44 batch_cost: 1.0605 data_cost: 0.0088 ips: 37.7179 images/s
[07/27 20:37:47] ppdet.engine INFO: Epoch: [120] [660/732] learning_rate: 0.124198 loss_vfl: 1.156686 loss_bbox: 0.597386 loss_dfl: 0.496075 loss: 2.254332 eta: 1 day, 16:55:16 batch_cost: 0.9580 data_cost: 0.0111 ips: 41.7537 images/s
[07/27 20:38:14] ppdet.engine INFO: Epoch: [120] [680/732] learning_rate: 0.124169 loss_vfl: 1.093352 loss_bbox: 0.553903 loss_dfl: 0.464653 loss: 2.114244 eta: 1 day, 16:54:52 batch_cost: 1.0438 data_cost: 0.0078 ips: 38.3229 images/s
[07/27 20:38:41] ppdet.engine INFO: Epoch: [120] [700/732] learning_rate: 0.124140 loss_vfl: 1.106331 loss_bbox: 0.531734 loss_dfl: 0.450234 loss: 2.065475 eta: 1 day, 16:54:31 batch_cost: 1.1704 data_cost: 0.0060 ips: 34.1776 images/s
[07/27 20:39:07] ppdet.engine INFO: Epoch: [120] [720/732] learning_rate: 0.124111 loss_vfl: 1.113627 loss_bbox: 0.588882 loss_dfl: 0.485570 loss: 2.202289 eta: 1 day, 16:54:04 batch_cost: 0.9964 data_cost: 0.0112 ips: 40.1440 images/s
[07/27 20:39:27] ppdet.engine INFO: Epoch: [121] [  0/732] learning_rate: 0.124094 loss_vfl: 1.131682 loss_bbox: 0.582743 loss_dfl: 0.482990 loss: 2.202430 eta: 1 day, 16:53:56 batch_cost: 1.2218 data_cost: 0.4151 ips: 32.7388 images/s
[07/27 20:39:57] ppdet.engine INFO: Epoch: [121] [ 20/732] learning_rate: 0.124065 loss_vfl: 1.105163 loss_bbox: 0.552195 loss_dfl: 0.465017 loss: 2.104821 eta: 1 day, 16:53:39 batch_cost: 1.2960 data_cost: 0.1251 ips: 30.8643 images/s
[07/27 20:40:23] ppdet.engine INFO: Epoch: [121] [ 40/732] learning_rate: 0.124036 loss_vfl: 1.040337 loss_bbox: 0.531397 loss_dfl: 0.436947 loss: 2.007642 eta: 1 day, 16:53:15 batch_cost: 1.0840 data_cost: 0.0067 ips: 36.9003 images/s
[07/27 20:40:51] ppdet.engine INFO: Epoch: [121] [ 60/732] learning_rate: 0.124007 loss_vfl: 1.117201 loss_bbox: 0.575680 loss_dfl: 0.484463 loss: 2.183433 eta: 1 day, 16:52:54 batch_cost: 1.1514 data_cost: 0.0086 ips: 34.7402 images/s
[07/27 20:41:17] ppdet.engine INFO: Epoch: [121] [ 80/732] learning_rate: 0.123978 loss_vfl: 1.102700 loss_bbox: 0.565452 loss_dfl: 0.470756 loss: 2.167994 eta: 1 day, 16:52:29 batch_cost: 1.0475 data_cost: 0.0045 ips: 38.1875 images/s
[07/27 20:41:45] ppdet.engine INFO: Epoch: [121] [100/732] learning_rate: 0.123949 loss_vfl: 1.140867 loss_bbox: 0.572083 loss_dfl: 0.480972 loss: 2.201470 eta: 1 day, 16:52:06 batch_cost: 1.1241 data_cost: 0.0079 ips: 35.5841 images/s
[07/27 20:42:11] ppdet.engine INFO: Epoch: [121] [120/732] learning_rate: 0.123920 loss_vfl: 1.084633 loss_bbox: 0.560700 loss_dfl: 0.459949 loss: 2.103148 eta: 1 day, 16:51:39 batch_cost: 0.9470 data_cost: 0.0095 ips: 42.2383 images/s
[07/27 20:42:37] ppdet.engine INFO: Epoch: [121] [140/732] learning_rate: 0.123891 loss_vfl: 1.056341 loss_bbox: 0.562350 loss_dfl: 0.462728 loss: 2.092685 eta: 1 day, 16:51:13 batch_cost: 1.0111 data_cost: 0.0073 ips: 39.5599 images/s
[07/27 20:43:04] ppdet.engine INFO: Epoch: [121] [160/732] learning_rate: 0.123861 loss_vfl: 1.133622 loss_bbox: 0.589391 loss_dfl: 0.488469 loss: 2.214825 eta: 1 day, 16:50:50 batch_cost: 1.1065 data_cost: 0.0084 ips: 36.1513 images/s
[07/27 20:43:31] ppdet.engine INFO: Epoch: [121] [180/732] learning_rate: 0.123832 loss_vfl: 1.122997 loss_bbox: 0.568304 loss_dfl: 0.471751 loss: 2.166536 eta: 1 day, 16:50:27 batch_cost: 1.1038 data_cost: 0.0013 ips: 36.2376 images/s
[07/27 20:43:58] ppdet.engine INFO: Epoch: [121] [200/732] learning_rate: 0.123803 loss_vfl: 1.131684 loss_bbox: 0.573642 loss_dfl: 0.476576 loss: 2.190264 eta: 1 day, 16:50:06 batch_cost: 1.1894 data_cost: 0.0088 ips: 33.6302 images/s
[07/27 20:44:23] ppdet.engine INFO: Epoch: [121] [220/732] learning_rate: 0.123774 loss_vfl: 1.145588 loss_bbox: 0.589627 loss_dfl: 0.494272 loss: 2.225992 eta: 1 day, 16:49:40 batch_cost: 0.9915 data_cost: 0.0214 ips: 40.3422 images/s
[07/27 20:44:52] ppdet.engine INFO: Epoch: [121] [240/732] learning_rate: 0.123745 loss_vfl: 1.083683 loss_bbox: 0.577123 loss_dfl: 0.469995 loss: 2.129807 eta: 1 day, 16:49:17 batch_cost: 1.1004 data_cost: 0.0089 ips: 36.3505 images/s
[07/27 20:45:17] ppdet.engine INFO: Epoch: [121] [260/732] learning_rate: 0.123716 loss_vfl: 1.107074 loss_bbox: 0.569073 loss_dfl: 0.479521 loss: 2.160981 eta: 1 day, 16:48:51 batch_cost: 0.9949 data_cost: 0.0010 ips: 40.2066 images/s
[07/27 20:45:43] ppdet.engine INFO: Epoch: [121] [280/732] learning_rate: 0.123687 loss_vfl: 1.090613 loss_bbox: 0.562511 loss_dfl: 0.475323 loss: 2.130357 eta: 1 day, 16:48:29 batch_cost: 1.1562 data_cost: 0.0037 ips: 34.5956 images/s
[07/27 20:46:07] ppdet.engine INFO: Epoch: [121] [300/732] learning_rate: 0.123658 loss_vfl: 1.114532 loss_bbox: 0.591129 loss_dfl: 0.475972 loss: 2.175197 eta: 1 day, 16:48:03 batch_cost: 0.9883 data_cost: 0.0074 ips: 40.4724 images/s
[07/27 20:46:36] ppdet.engine INFO: Epoch: [121] [320/732] learning_rate: 0.123629 loss_vfl: 1.125534 loss_bbox: 0.577108 loss_dfl: 0.491977 loss: 2.217701 eta: 1 day, 16:47:40 batch_cost: 1.1127 data_cost: 0.0066 ips: 35.9493 images/s
[07/27 20:47:03] ppdet.engine INFO: Epoch: [121] [340/732] learning_rate: 0.123600 loss_vfl: 1.114759 loss_bbox: 0.585198 loss_dfl: 0.480696 loss: 2.205689 eta: 1 day, 16:47:15 batch_cost: 1.0372 data_cost: 0.0143 ips: 38.5647 images/s
[07/27 20:47:28] ppdet.engine INFO: Epoch: [121] [360/732] learning_rate: 0.123571 loss_vfl: 1.104200 loss_bbox: 0.576705 loss_dfl: 0.480329 loss: 2.181688 eta: 1 day, 16:46:47 batch_cost: 0.9569 data_cost: 0.0077 ips: 41.7997 images/s
[07/27 20:47:54] ppdet.engine INFO: Epoch: [121] [380/732] learning_rate: 0.123542 loss_vfl: 1.100773 loss_bbox: 0.578355 loss_dfl: 0.471935 loss: 2.158214 eta: 1 day, 16:46:23 batch_cost: 1.0533 data_cost: 0.0040 ips: 37.9755 images/s
[07/27 20:48:21] ppdet.engine INFO: Epoch: [121] [400/732] learning_rate: 0.123513 loss_vfl: 1.103856 loss_bbox: 0.557423 loss_dfl: 0.467284 loss: 2.124416 eta: 1 day, 16:45:59 batch_cost: 1.0763 data_cost: 0.0078 ips: 37.1641 images/s
[07/27 20:48:47] ppdet.engine INFO: Epoch: [121] [420/732] learning_rate: 0.123484 loss_vfl: 1.145565 loss_bbox: 0.585237 loss_dfl: 0.476656 loss: 2.195208 eta: 1 day, 16:45:32 batch_cost: 0.9710 data_cost: 0.0060 ips: 41.1927 images/s
[07/27 20:49:13] ppdet.engine INFO: Epoch: [121] [440/732] learning_rate: 0.123455 loss_vfl: 1.146279 loss_bbox: 0.588123 loss_dfl: 0.488382 loss: 2.218431 eta: 1 day, 16:45:04 batch_cost: 0.9195 data_cost: 0.0045 ips: 43.5002 images/s
[07/27 20:49:40] ppdet.engine INFO: Epoch: [121] [460/732] learning_rate: 0.123426 loss_vfl: 1.088008 loss_bbox: 0.566748 loss_dfl: 0.471026 loss: 2.130114 eta: 1 day, 16:44:40 batch_cost: 1.1009 data_cost: 0.0083 ips: 36.3345 images/s
[07/27 20:50:05] ppdet.engine INFO: Epoch: [121] [480/732] learning_rate: 0.123397 loss_vfl: 1.088596 loss_bbox: 0.557511 loss_dfl: 0.475457 loss: 2.136346 eta: 1 day, 16:44:15 batch_cost: 1.0160 data_cost: 0.0022 ips: 39.3696 images/s
[07/27 20:50:31] ppdet.engine INFO: Epoch: [121] [500/732] learning_rate: 0.123368 loss_vfl: 1.119101 loss_bbox: 0.559220 loss_dfl: 0.468215 loss: 2.147503 eta: 1 day, 16:43:50 batch_cost: 1.0553 data_cost: 0.0089 ips: 37.9027 images/s
[07/27 20:50:56] ppdet.engine INFO: Epoch: [121] [520/732] learning_rate: 0.123339 loss_vfl: 1.075415 loss_bbox: 0.546062 loss_dfl: 0.458053 loss: 2.108657 eta: 1 day, 16:43:26 batch_cost: 1.0506 data_cost: 0.0047 ips: 38.0737 images/s
[07/27 20:51:24] ppdet.engine INFO: Epoch: [121] [540/732] learning_rate: 0.123310 loss_vfl: 1.123407 loss_bbox: 0.585904 loss_dfl: 0.482468 loss: 2.185729 eta: 1 day, 16:43:01 batch_cost: 1.0591 data_cost: 0.0087 ips: 37.7676 images/s
[07/27 20:51:49] ppdet.engine INFO: Epoch: [121] [560/732] learning_rate: 0.123281 loss_vfl: 1.101585 loss_bbox: 0.561642 loss_dfl: 0.469035 loss: 2.126873 eta: 1 day, 16:42:36 batch_cost: 1.0328 data_cost: 0.0057 ips: 38.7300 images/s
[07/27 20:52:15] ppdet.engine INFO: Epoch: [121] [580/732] learning_rate: 0.123252 loss_vfl: 1.120581 loss_bbox: 0.574594 loss_dfl: 0.476200 loss: 2.135294 eta: 1 day, 16:42:11 batch_cost: 1.0111 data_cost: 0.0071 ips: 39.5612 images/s
[07/27 20:52:42] ppdet.engine INFO: Epoch: [121] [600/732] learning_rate: 0.123223 loss_vfl: 1.118438 loss_bbox: 0.567930 loss_dfl: 0.479387 loss: 2.169412 eta: 1 day, 16:41:48 batch_cost: 1.1152 data_cost: 0.0101 ips: 35.8686 images/s
[07/27 20:53:07] ppdet.engine INFO: Epoch: [121] [620/732] learning_rate: 0.123193 loss_vfl: 1.115071 loss_bbox: 0.566971 loss_dfl: 0.467170 loss: 2.161952 eta: 1 day, 16:41:22 batch_cost: 0.9970 data_cost: 0.0100 ips: 40.1202 images/s
[07/27 20:53:31] ppdet.engine INFO: Epoch: [121] [640/732] learning_rate: 0.123164 loss_vfl: 1.107034 loss_bbox: 0.569416 loss_dfl: 0.470494 loss: 2.148016 eta: 1 day, 16:40:55 batch_cost: 0.9796 data_cost: 0.0115 ips: 40.8325 images/s
[07/27 20:53:58] ppdet.engine INFO: Epoch: [121] [660/732] learning_rate: 0.123135 loss_vfl: 1.127613 loss_bbox: 0.586962 loss_dfl: 0.481284 loss: 2.202459 eta: 1 day, 16:40:31 batch_cost: 1.0730 data_cost: 0.0166 ips: 37.2776 images/s
[07/27 20:54:25] ppdet.engine INFO: Epoch: [121] [680/732] learning_rate: 0.123106 loss_vfl: 1.093215 loss_bbox: 0.551300 loss_dfl: 0.466257 loss: 2.098364 eta: 1 day, 16:40:09 batch_cost: 1.1387 data_cost: 0.0110 ips: 35.1277 images/s
[07/27 20:54:50] ppdet.engine INFO: Epoch: [121] [700/732] learning_rate: 0.123077 loss_vfl: 1.132309 loss_bbox: 0.589397 loss_dfl: 0.488207 loss: 2.247877 eta: 1 day, 16:39:42 batch_cost: 0.9513 data_cost: 0.0089 ips: 42.0494 images/s
[07/27 20:55:14] ppdet.engine INFO: Epoch: [121] [720/732] learning_rate: 0.123048 loss_vfl: 1.074815 loss_bbox: 0.579064 loss_dfl: 0.466145 loss: 2.129574 eta: 1 day, 16:39:14 batch_cost: 0.9502 data_cost: 0.0082 ips: 42.0955 images/s
[07/27 20:55:36] ppdet.engine INFO: Epoch: [122] [  0/732] learning_rate: 0.123031 loss_vfl: 1.099027 loss_bbox: 0.586765 loss_dfl: 0.476480 loss: 2.153586 eta: 1 day, 16:39:09 batch_cost: 1.3490 data_cost: 0.4121 ips: 29.6527 images/s
[07/27 20:56:05] ppdet.engine INFO: Epoch: [122] [ 20/732] learning_rate: 0.123002 loss_vfl: 1.076025 loss_bbox: 0.550186 loss_dfl: 0.460299 loss: 2.077026 eta: 1 day, 16:38:48 batch_cost: 1.1809 data_cost: 0.0101 ips: 33.8718 images/s
[07/27 20:56:32] ppdet.engine INFO: Epoch: [122] [ 40/732] learning_rate: 0.122973 loss_vfl: 1.073090 loss_bbox: 0.562350 loss_dfl: 0.463838 loss: 2.097428 eta: 1 day, 16:38:28 batch_cost: 1.1964 data_cost: 0.0057 ips: 33.4325 images/s
[07/27 20:57:00] ppdet.engine INFO: Epoch: [122] [ 60/732] learning_rate: 0.122943 loss_vfl: 1.139834 loss_bbox: 0.581535 loss_dfl: 0.483440 loss: 2.196910 eta: 1 day, 16:38:09 batch_cost: 1.2396 data_cost: 0.0026 ips: 32.2674 images/s
[07/27 20:57:27] ppdet.engine INFO: Epoch: [122] [ 80/732] learning_rate: 0.122914 loss_vfl: 1.109477 loss_bbox: 0.560116 loss_dfl: 0.470124 loss: 2.141728 eta: 1 day, 16:37:47 batch_cost: 1.1417 data_cost: 0.0099 ips: 35.0370 images/s
[07/27 20:57:54] ppdet.engine INFO: Epoch: [122] [100/732] learning_rate: 0.122885 loss_vfl: 1.096584 loss_bbox: 0.546554 loss_dfl: 0.470768 loss: 2.114371 eta: 1 day, 16:37:23 batch_cost: 1.0632 data_cost: 0.0037 ips: 37.6209 images/s
[07/27 20:58:20] ppdet.engine INFO: Epoch: [122] [120/732] learning_rate: 0.122856 loss_vfl: 1.103683 loss_bbox: 0.570493 loss_dfl: 0.462151 loss: 2.105977 eta: 1 day, 16:36:59 batch_cost: 1.0670 data_cost: 0.0091 ips: 37.4898 images/s
[07/27 20:58:48] ppdet.engine INFO: Epoch: [122] [140/732] learning_rate: 0.122827 loss_vfl: 1.088221 loss_bbox: 0.562937 loss_dfl: 0.472410 loss: 2.145161 eta: 1 day, 16:36:39 batch_cost: 1.2167 data_cost: 0.0056 ips: 32.8751 images/s
[07/27 20:59:14] ppdet.engine INFO: Epoch: [122] [160/732] learning_rate: 0.122798 loss_vfl: 1.093934 loss_bbox: 0.575912 loss_dfl: 0.468557 loss: 2.136758 eta: 1 day, 16:36:17 batch_cost: 1.1386 data_cost: 0.0038 ips: 35.1311 images/s
[07/27 20:59:43] ppdet.engine INFO: Epoch: [122] [180/732] learning_rate: 0.122769 loss_vfl: 1.084275 loss_bbox: 0.543187 loss_dfl: 0.461686 loss: 2.077968 eta: 1 day, 16:35:56 batch_cost: 1.1679 data_cost: 0.0047 ips: 34.2496 images/s
[07/27 21:00:10] ppdet.engine INFO: Epoch: [122] [200/732] learning_rate: 0.122740 loss_vfl: 1.077851 loss_bbox: 0.573703 loss_dfl: 0.479007 loss: 2.139592 eta: 1 day, 16:35:34 batch_cost: 1.1520 data_cost: 0.0058 ips: 34.7234 images/s
[07/27 21:00:34] ppdet.engine INFO: Epoch: [122] [220/732] learning_rate: 0.122711 loss_vfl: 1.101270 loss_bbox: 0.579448 loss_dfl: 0.481909 loss: 2.154518 eta: 1 day, 16:35:08 batch_cost: 0.9963 data_cost: 0.0074 ips: 40.1499 images/s
[07/27 21:01:01] ppdet.engine INFO: Epoch: [122] [240/732] learning_rate: 0.122682 loss_vfl: 1.099335 loss_bbox: 0.562094 loss_dfl: 0.473672 loss: 2.137261 eta: 1 day, 16:34:47 batch_cost: 1.1629 data_cost: 0.0042 ips: 34.3974 images/s
[07/27 21:01:29] ppdet.engine INFO: Epoch: [122] [260/732] learning_rate: 0.122653 loss_vfl: 1.098811 loss_bbox: 0.581010 loss_dfl: 0.479159 loss: 2.153087 eta: 1 day, 16:34:26 batch_cost: 1.1819 data_cost: 0.0114 ips: 33.8451 images/s
[07/27 21:01:55] ppdet.engine INFO: Epoch: [122] [280/732] learning_rate: 0.122624 loss_vfl: 1.097738 loss_bbox: 0.569526 loss_dfl: 0.475366 loss: 2.137770 eta: 1 day, 16:34:02 batch_cost: 1.0651 data_cost: 0.0064 ips: 37.5545 images/s
[07/27 21:02:21] ppdet.engine INFO: Epoch: [122] [300/732] learning_rate: 0.122594 loss_vfl: 1.081614 loss_bbox: 0.549769 loss_dfl: 0.457750 loss: 2.074945 eta: 1 day, 16:33:35 batch_cost: 0.9695 data_cost: 0.0153 ips: 41.2584 images/s
[07/27 21:02:49] ppdet.engine INFO: Epoch: [122] [320/732] learning_rate: 0.122565 loss_vfl: 1.071368 loss_bbox: 0.551424 loss_dfl: 0.464341 loss: 2.077674 eta: 1 day, 16:33:13 batch_cost: 1.1356 data_cost: 0.0095 ips: 35.2248 images/s
[07/27 21:03:13] ppdet.engine INFO: Epoch: [122] [340/732] learning_rate: 0.122536 loss_vfl: 1.073773 loss_bbox: 0.560805 loss_dfl: 0.454976 loss: 2.070497 eta: 1 day, 16:32:47 batch_cost: 1.0246 data_cost: 0.0090 ips: 39.0401 images/s
[07/27 21:03:39] ppdet.engine INFO: Epoch: [122] [360/732] learning_rate: 0.122507 loss_vfl: 1.120940 loss_bbox: 0.583846 loss_dfl: 0.478034 loss: 2.193252 eta: 1 day, 16:32:21 batch_cost: 0.9899 data_cost: 0.0060 ips: 40.4080 images/s
[07/27 21:04:05] ppdet.engine INFO: Epoch: [122] [380/732] learning_rate: 0.122478 loss_vfl: 1.121324 loss_bbox: 0.571009 loss_dfl: 0.472804 loss: 2.137398 eta: 1 day, 16:31:54 batch_cost: 0.9774 data_cost: 0.0105 ips: 40.9259 images/s
[07/27 21:04:29] ppdet.engine INFO: Epoch: [122] [400/732] learning_rate: 0.122449 loss_vfl: 1.104440 loss_bbox: 0.568503 loss_dfl: 0.474322 loss: 2.154525 eta: 1 day, 16:31:26 batch_cost: 0.9232 data_cost: 0.0092 ips: 43.3290 images/s
[07/27 21:04:55] ppdet.engine INFO: Epoch: [122] [420/732] learning_rate: 0.122420 loss_vfl: 1.109874 loss_bbox: 0.549569 loss_dfl: 0.472998 loss: 2.125396 eta: 1 day, 16:31:02 batch_cost: 1.0823 data_cost: 0.0455 ips: 36.9595 images/s
[07/27 21:05:19] ppdet.engine INFO: Epoch: [122] [440/732] learning_rate: 0.122391 loss_vfl: 1.083471 loss_bbox: 0.545468 loss_dfl: 0.464411 loss: 2.097518 eta: 1 day, 16:30:37 batch_cost: 1.0018 data_cost: 0.0030 ips: 39.9297 images/s
[07/27 21:05:48] ppdet.engine INFO: Epoch: [122] [460/732] learning_rate: 0.122362 loss_vfl: 1.133840 loss_bbox: 0.557154 loss_dfl: 0.483429 loss: 2.172400 eta: 1 day, 16:30:17 batch_cost: 1.2254 data_cost: 0.0045 ips: 32.6419 images/s
[07/27 21:06:15] ppdet.engine INFO: Epoch: [122] [480/732] learning_rate: 0.122333 loss_vfl: 1.112815 loss_bbox: 0.563284 loss_dfl: 0.471617 loss: 2.142456 eta: 1 day, 16:29:57 batch_cost: 1.2150 data_cost: 0.0083 ips: 32.9218 images/s
[07/27 21:06:41] ppdet.engine INFO: Epoch: [122] [500/732] learning_rate: 0.122303 loss_vfl: 1.172620 loss_bbox: 0.596129 loss_dfl: 0.496692 loss: 2.292654 eta: 1 day, 16:29:33 batch_cost: 1.0654 data_cost: 0.0073 ips: 37.5451 images/s
[07/27 21:07:04] ppdet.engine INFO: Epoch: [122] [520/732] learning_rate: 0.122274 loss_vfl: 1.155152 loss_bbox: 0.599218 loss_dfl: 0.497097 loss: 2.252951 eta: 1 day, 16:29:06 batch_cost: 0.9722 data_cost: 0.0038 ips: 41.1418 images/s
[07/27 21:07:34] ppdet.engine INFO: Epoch: [122] [540/732] learning_rate: 0.122245 loss_vfl: 1.098799 loss_bbox: 0.581519 loss_dfl: 0.482722 loss: 2.169224 eta: 1 day, 16:28:47 batch_cost: 1.2441 data_cost: 0.0052 ips: 32.1525 images/s
[07/27 21:08:00] ppdet.engine INFO: Epoch: [122] [560/732] learning_rate: 0.122216 loss_vfl: 1.108713 loss_bbox: 0.574671 loss_dfl: 0.469074 loss: 2.164613 eta: 1 day, 16:28:26 batch_cost: 1.1758 data_cost: 0.0027 ips: 34.0206 images/s
[07/27 21:08:27] ppdet.engine INFO: Epoch: [122] [580/732] learning_rate: 0.122187 loss_vfl: 1.124979 loss_bbox: 0.569571 loss_dfl: 0.481387 loss: 2.167688 eta: 1 day, 16:28:06 batch_cost: 1.1939 data_cost: 0.0033 ips: 33.5028 images/s
[07/27 21:08:53] ppdet.engine INFO: Epoch: [122] [600/732] learning_rate: 0.122158 loss_vfl: 1.164313 loss_bbox: 0.596524 loss_dfl: 0.491803 loss: 2.267261 eta: 1 day, 16:27:43 batch_cost: 1.1105 data_cost: 0.0050 ips: 36.0189 images/s
[07/27 21:09:22] ppdet.engine INFO: Epoch: [122] [620/732] learning_rate: 0.122129 loss_vfl: 1.051653 loss_bbox: 0.557096 loss_dfl: 0.452993 loss: 2.050058 eta: 1 day, 16:27:26 batch_cost: 1.2959 data_cost: 0.0063 ips: 30.8664 images/s
[07/27 21:09:47] ppdet.engine INFO: Epoch: [122] [640/732] learning_rate: 0.122100 loss_vfl: 1.097357 loss_bbox: 0.579702 loss_dfl: 0.488176 loss: 2.185681 eta: 1 day, 16:27:02 batch_cost: 1.0972 data_cost: 0.0033 ips: 36.4555 images/s
[07/27 21:10:13] ppdet.engine INFO: Epoch: [122] [660/732] learning_rate: 0.122071 loss_vfl: 1.152970 loss_bbox: 0.599529 loss_dfl: 0.496268 loss: 2.247307 eta: 1 day, 16:26:40 batch_cost: 1.1271 data_cost: 0.0041 ips: 35.4902 images/s
[07/27 21:10:38] ppdet.engine INFO: Epoch: [122] [680/732] learning_rate: 0.122041 loss_vfl: 1.046497 loss_bbox: 0.546428 loss_dfl: 0.442988 loss: 2.029644 eta: 1 day, 16:26:15 batch_cost: 1.0273 data_cost: 0.0064 ips: 38.9373 images/s
[07/27 21:11:04] ppdet.engine INFO: Epoch: [122] [700/732] learning_rate: 0.122012 loss_vfl: 1.093025 loss_bbox: 0.566993 loss_dfl: 0.469304 loss: 2.135557 eta: 1 day, 16:25:53 batch_cost: 1.1344 data_cost: 0.0096 ips: 35.2619 images/s
[07/27 21:11:33] ppdet.engine INFO: Epoch: [122] [720/732] learning_rate: 0.121983 loss_vfl: 1.121496 loss_bbox: 0.581925 loss_dfl: 0.482276 loss: 2.179383 eta: 1 day, 16:25:35 batch_cost: 1.2774 data_cost: 0.0130 ips: 31.3141 images/s
[07/27 21:11:54] ppdet.engine INFO: Epoch: [123] [  0/732] learning_rate: 0.121966 loss_vfl: 1.082322 loss_bbox: 0.560585 loss_dfl: 0.467069 loss: 2.101719 eta: 1 day, 16:25:27 batch_cost: 1.3344 data_cost: 0.4789 ips: 29.9762 images/s
[07/27 21:12:21] ppdet.engine INFO: Epoch: [123] [ 20/732] learning_rate: 0.121937 loss_vfl: 1.126276 loss_bbox: 0.580624 loss_dfl: 0.482200 loss: 2.175331 eta: 1 day, 16:25:05 batch_cost: 1.1309 data_cost: 0.0031 ips: 35.3689 images/s
[07/27 21:12:48] ppdet.engine INFO: Epoch: [123] [ 40/732] learning_rate: 0.121907 loss_vfl: 1.100977 loss_bbox: 0.568424 loss_dfl: 0.467533 loss: 2.154820 eta: 1 day, 16:24:40 batch_cost: 1.0366 data_cost: 0.0040 ips: 38.5866 images/s
[07/27 21:13:15] ppdet.engine INFO: Epoch: [123] [ 60/732] learning_rate: 0.121878 loss_vfl: 1.127399 loss_bbox: 0.557687 loss_dfl: 0.471308 loss: 2.177692 eta: 1 day, 16:24:18 batch_cost: 1.1631 data_cost: 0.0041 ips: 34.3904 images/s
[07/27 21:13:43] ppdet.engine INFO: Epoch: [123] [ 80/732] learning_rate: 0.121849 loss_vfl: 1.118936 loss_bbox: 0.566985 loss_dfl: 0.481249 loss: 2.168088 eta: 1 day, 16:23:57 batch_cost: 1.1469 data_cost: 0.0065 ips: 34.8776 images/s
[07/27 21:14:09] ppdet.engine INFO: Epoch: [123] [100/732] learning_rate: 0.121820 loss_vfl: 1.118119 loss_bbox: 0.563066 loss_dfl: 0.479237 loss: 2.173820 eta: 1 day, 16:23:34 batch_cost: 1.0997 data_cost: 0.0048 ips: 36.3721 images/s
[07/27 21:14:38] ppdet.engine INFO: Epoch: [123] [120/732] learning_rate: 0.121791 loss_vfl: 1.116663 loss_bbox: 0.573537 loss_dfl: 0.468690 loss: 2.150620 eta: 1 day, 16:23:17 batch_cost: 1.3200 data_cost: 0.0023 ips: 30.3025 images/s
[07/27 21:15:04] ppdet.engine INFO: Epoch: [123] [140/732] learning_rate: 0.121762 loss_vfl: 1.098947 loss_bbox: 0.560054 loss_dfl: 0.460397 loss: 2.114929 eta: 1 day, 16:22:51 batch_cost: 1.0107 data_cost: 0.0230 ips: 39.5763 images/s
[07/27 21:15:32] ppdet.engine INFO: Epoch: [123] [160/732] learning_rate: 0.121733 loss_vfl: 1.155273 loss_bbox: 0.596434 loss_dfl: 0.495132 loss: 2.271059 eta: 1 day, 16:22:30 batch_cost: 1.1788 data_cost: 0.0062 ips: 33.9330 images/s
[07/27 21:16:00] ppdet.engine INFO: Epoch: [123] [180/732] learning_rate: 0.121704 loss_vfl: 1.138212 loss_bbox: 0.576530 loss_dfl: 0.488503 loss: 2.198901 eta: 1 day, 16:22:08 batch_cost: 1.1412 data_cost: 0.0064 ips: 35.0498 images/s
[07/27 21:16:28] ppdet.engine INFO: Epoch: [123] [200/732] learning_rate: 0.121674 loss_vfl: 1.136206 loss_bbox: 0.573052 loss_dfl: 0.484697 loss: 2.201670 eta: 1 day, 16:21:46 batch_cost: 1.1309 data_cost: 0.0040 ips: 35.3712 images/s
[07/27 21:16:54] ppdet.engine INFO: Epoch: [123] [220/732] learning_rate: 0.121645 loss_vfl: 1.105759 loss_bbox: 0.566579 loss_dfl: 0.481966 loss: 2.165107 eta: 1 day, 16:21:21 batch_cost: 1.0223 data_cost: 0.0065 ips: 39.1289 images/s
[07/27 21:17:20] ppdet.engine INFO: Epoch: [123] [240/732] learning_rate: 0.121616 loss_vfl: 1.085680 loss_bbox: 0.528687 loss_dfl: 0.464956 loss: 2.092306 eta: 1 day, 16:20:53 batch_cost: 0.9531 data_cost: 0.0017 ips: 41.9693 images/s
[07/27 21:17:47] ppdet.engine INFO: Epoch: [123] [260/732] learning_rate: 0.121587 loss_vfl: 1.127890 loss_bbox: 0.588670 loss_dfl: 0.479112 loss: 2.172489 eta: 1 day, 16:20:31 batch_cost: 1.1139 data_cost: 0.0063 ips: 35.9083 images/s
[07/27 21:18:13] ppdet.engine INFO: Epoch: [123] [280/732] learning_rate: 0.121558 loss_vfl: 1.111607 loss_bbox: 0.576147 loss_dfl: 0.473457 loss: 2.153610 eta: 1 day, 16:20:06 batch_cost: 1.0448 data_cost: 0.0066 ips: 38.2863 images/s
[07/27 21:18:39] ppdet.engine INFO: Epoch: [123] [300/732] learning_rate: 0.121529 loss_vfl: 1.055125 loss_bbox: 0.545152 loss_dfl: 0.448963 loss: 2.052563 eta: 1 day, 16:19:43 batch_cost: 1.1067 data_cost: 0.0075 ips: 36.1435 images/s
[07/27 21:19:05] ppdet.engine INFO: Epoch: [123] [320/732] learning_rate: 0.121500 loss_vfl: 1.072956 loss_bbox: 0.566570 loss_dfl: 0.460117 loss: 2.110656 eta: 1 day, 16:19:17 batch_cost: 1.0104 data_cost: 0.0035 ips: 39.5882 images/s
[07/27 21:19:32] ppdet.engine INFO: Epoch: [123] [340/732] learning_rate: 0.121470 loss_vfl: 1.174698 loss_bbox: 0.605029 loss_dfl: 0.504179 loss: 2.265074 eta: 1 day, 16:18:55 batch_cost: 1.1350 data_cost: 0.1070 ips: 35.2426 images/s
[07/27 21:19:59] ppdet.engine INFO: Epoch: [123] [360/732] learning_rate: 0.121441 loss_vfl: 1.126307 loss_bbox: 0.582872 loss_dfl: 0.478855 loss: 2.175774 eta: 1 day, 16:18:31 batch_cost: 1.0752 data_cost: 0.0141 ips: 37.2041 images/s
[07/27 21:20:24] ppdet.engine INFO: Epoch: [123] [380/732] learning_rate: 0.121412 loss_vfl: 1.127877 loss_bbox: 0.592715 loss_dfl: 0.491262 loss: 2.214597 eta: 1 day, 16:18:07 batch_cost: 1.0643 data_cost: 0.0048 ips: 37.5827 images/s
[07/27 21:20:51] ppdet.engine INFO: Epoch: [123] [400/732] learning_rate: 0.121383 loss_vfl: 1.092226 loss_bbox: 0.561574 loss_dfl: 0.467938 loss: 2.133763 eta: 1 day, 16:17:45 batch_cost: 1.1472 data_cost: 0.0083 ips: 34.8682 images/s
[07/27 21:21:16] ppdet.engine INFO: Epoch: [123] [420/732] learning_rate: 0.121354 loss_vfl: 1.091796 loss_bbox: 0.562629 loss_dfl: 0.467091 loss: 2.119042 eta: 1 day, 16:17:20 batch_cost: 1.0094 data_cost: 0.0086 ips: 39.6263 images/s
[07/27 21:21:43] ppdet.engine INFO: Epoch: [123] [440/732] learning_rate: 0.121325 loss_vfl: 1.121953 loss_bbox: 0.548823 loss_dfl: 0.466805 loss: 2.138495 eta: 1 day, 16:16:59 batch_cost: 1.2039 data_cost: 0.0071 ips: 33.2246 images/s
[07/27 21:22:08] ppdet.engine INFO: Epoch: [123] [460/732] learning_rate: 0.121296 loss_vfl: 1.124191 loss_bbox: 0.584086 loss_dfl: 0.488378 loss: 2.211906 eta: 1 day, 16:16:33 batch_cost: 0.9696 data_cost: 0.0057 ips: 41.2552 images/s
[07/27 21:22:34] ppdet.engine INFO: Epoch: [123] [480/732] learning_rate: 0.121266 loss_vfl: 1.087238 loss_bbox: 0.558650 loss_dfl: 0.465870 loss: 2.117003 eta: 1 day, 16:16:09 batch_cost: 1.0958 data_cost: 0.0081 ips: 36.5043 images/s
[07/27 21:23:00] ppdet.engine INFO: Epoch: [123] [500/732] learning_rate: 0.121237 loss_vfl: 1.129818 loss_bbox: 0.591220 loss_dfl: 0.491804 loss: 2.218516 eta: 1 day, 16:15:43 batch_cost: 0.9923 data_cost: 0.0099 ips: 40.3108 images/s
[07/27 21:23:28] ppdet.engine INFO: Epoch: [123] [520/732] learning_rate: 0.121208 loss_vfl: 1.099379 loss_bbox: 0.580050 loss_dfl: 0.482911 loss: 2.173793 eta: 1 day, 16:15:21 batch_cost: 1.1402 data_cost: 0.2680 ips: 35.0827 images/s
[07/27 21:23:52] ppdet.engine INFO: Epoch: [123] [540/732] learning_rate: 0.121179 loss_vfl: 1.102022 loss_bbox: 0.564294 loss_dfl: 0.462785 loss: 2.139997 eta: 1 day, 16:14:56 batch_cost: 1.0131 data_cost: 0.0118 ips: 39.4836 images/s
[07/27 21:24:18] ppdet.engine INFO: Epoch: [123] [560/732] learning_rate: 0.121150 loss_vfl: 1.141892 loss_bbox: 0.588546 loss_dfl: 0.497389 loss: 2.240415 eta: 1 day, 16:14:30 batch_cost: 1.0081 data_cost: 0.0050 ips: 39.6794 images/s
[07/27 21:24:42] ppdet.engine INFO: Epoch: [123] [580/732] learning_rate: 0.121121 loss_vfl: 1.088535 loss_bbox: 0.567970 loss_dfl: 0.467168 loss: 2.125746 eta: 1 day, 16:14:02 batch_cost: 0.9377 data_cost: 0.0095 ips: 42.6561 images/s
[07/27 21:25:09] ppdet.engine INFO: Epoch: [123] [600/732] learning_rate: 0.121091 loss_vfl: 1.101508 loss_bbox: 0.589367 loss_dfl: 0.477519 loss: 2.172600 eta: 1 day, 16:13:39 batch_cost: 1.0834 data_cost: 0.0065 ips: 36.9222 images/s
[07/27 21:25:37] ppdet.engine INFO: Epoch: [123] [620/732] learning_rate: 0.121062 loss_vfl: 1.106614 loss_bbox: 0.561782 loss_dfl: 0.473951 loss: 2.159298 eta: 1 day, 16:13:15 batch_cost: 1.0974 data_cost: 0.0160 ips: 36.4501 images/s
[07/27 21:26:01] ppdet.engine INFO: Epoch: [123] [640/732] learning_rate: 0.121033 loss_vfl: 1.150090 loss_bbox: 0.593838 loss_dfl: 0.490978 loss: 2.218188 eta: 1 day, 16:12:49 batch_cost: 0.9837 data_cost: 0.0061 ips: 40.6611 images/s
[07/27 21:26:26] ppdet.engine INFO: Epoch: [123] [660/732] learning_rate: 0.121004 loss_vfl: 1.108450 loss_bbox: 0.570170 loss_dfl: 0.469396 loss: 2.152625 eta: 1 day, 16:12:23 batch_cost: 1.0153 data_cost: 0.0059 ips: 39.3969 images/s
[07/27 21:26:52] ppdet.engine INFO: Epoch: [123] [680/732] learning_rate: 0.120975 loss_vfl: 1.130338 loss_bbox: 0.573232 loss_dfl: 0.472423 loss: 2.180356 eta: 1 day, 16:11:59 batch_cost: 1.0689 data_cost: 0.0071 ips: 37.4202 images/s
[07/27 21:27:18] ppdet.engine INFO: Epoch: [123] [700/732] learning_rate: 0.120946 loss_vfl: 1.111244 loss_bbox: 0.584181 loss_dfl: 0.480590 loss: 2.171731 eta: 1 day, 16:11:35 batch_cost: 1.0472 data_cost: 0.0821 ips: 38.1973 images/s
[07/27 21:27:44] ppdet.engine INFO: Epoch: [123] [720/732] learning_rate: 0.120916 loss_vfl: 1.149713 loss_bbox: 0.609952 loss_dfl: 0.497990 loss: 2.225754 eta: 1 day, 16:11:11 batch_cost: 1.0657 data_cost: 0.0028 ips: 37.5324 images/s
[07/27 21:28:04] ppdet.engine INFO: Epoch: [124] [  0/732] learning_rate: 0.120899 loss_vfl: 1.101088 loss_bbox: 0.596854 loss_dfl: 0.477847 loss: 2.154248 eta: 1 day, 16:11:04 batch_cost: 1.2777 data_cost: 0.4702 ips: 31.3072 images/s
[07/27 21:28:32] ppdet.engine INFO: Epoch: [124] [ 20/732] learning_rate: 0.120870 loss_vfl: 1.110641 loss_bbox: 0.563920 loss_dfl: 0.456847 loss: 2.123485 eta: 1 day, 16:10:41 batch_cost: 1.1338 data_cost: 0.0836 ips: 35.2804 images/s
[07/27 21:29:01] ppdet.engine INFO: Epoch: [124] [ 40/732] learning_rate: 0.120840 loss_vfl: 1.112626 loss_bbox: 0.571250 loss_dfl: 0.472140 loss: 2.151484 eta: 1 day, 16:10:20 batch_cost: 1.1515 data_cost: 0.0215 ips: 34.7386 images/s
[07/27 21:29:29] ppdet.engine INFO: Epoch: [124] [ 60/732] learning_rate: 0.120811 loss_vfl: 1.133080 loss_bbox: 0.566394 loss_dfl: 0.476983 loss: 2.193762 eta: 1 day, 16:09:57 batch_cost: 1.1195 data_cost: 0.0037 ips: 35.7293 images/s
[07/27 21:29:56] ppdet.engine INFO: Epoch: [124] [ 80/732] learning_rate: 0.120782 loss_vfl: 1.113996 loss_bbox: 0.583963 loss_dfl: 0.486120 loss: 2.193210 eta: 1 day, 16:09:34 batch_cost: 1.0831 data_cost: 0.0055 ips: 36.9304 images/s
[07/27 21:30:23] ppdet.engine INFO: Epoch: [124] [100/732] learning_rate: 0.120753 loss_vfl: 1.129861 loss_bbox: 0.591992 loss_dfl: 0.489146 loss: 2.210507 eta: 1 day, 16:09:11 batch_cost: 1.1030 data_cost: 0.0041 ips: 36.2645 images/s
[07/27 21:30:47] ppdet.engine INFO: Epoch: [124] [120/732] learning_rate: 0.120724 loss_vfl: 1.083266 loss_bbox: 0.573471 loss_dfl: 0.474410 loss: 2.139379 eta: 1 day, 16:08:44 batch_cost: 0.9676 data_cost: 0.0053 ips: 41.3415 images/s
[07/27 21:31:16] ppdet.engine INFO: Epoch: [124] [140/732] learning_rate: 0.120695 loss_vfl: 1.157033 loss_bbox: 0.585956 loss_dfl: 0.492439 loss: 2.255021 eta: 1 day, 16:08:23 batch_cost: 1.2020 data_cost: 0.0119 ips: 33.2772 images/s
[07/27 21:31:44] ppdet.engine INFO: Epoch: [124] [160/732] learning_rate: 0.120665 loss_vfl: 1.157209 loss_bbox: 0.585139 loss_dfl: 0.487277 loss: 2.246640 eta: 1 day, 16:08:00 batch_cost: 1.0921 data_cost: 0.0096 ips: 36.6257 images/s
[07/27 21:32:12] ppdet.engine INFO: Epoch: [124] [180/732] learning_rate: 0.120636 loss_vfl: 1.135231 loss_bbox: 0.578585 loss_dfl: 0.484748 loss: 2.199993 eta: 1 day, 16:07:37 batch_cost: 1.0978 data_cost: 0.0036 ips: 36.4368 images/s
[07/27 21:32:38] ppdet.engine INFO: Epoch: [124] [200/732] learning_rate: 0.120607 loss_vfl: 1.081136 loss_bbox: 0.570697 loss_dfl: 0.464892 loss: 2.092638 eta: 1 day, 16:07:13 batch_cost: 1.0513 data_cost: 0.0071 ips: 38.0488 images/s
[07/27 21:33:05] ppdet.engine INFO: Epoch: [124] [220/732] learning_rate: 0.120578 loss_vfl: 1.090912 loss_bbox: 0.549880 loss_dfl: 0.469179 loss: 2.121318 eta: 1 day, 16:06:50 batch_cost: 1.1071 data_cost: 0.0029 ips: 36.1294 images/s
[07/27 21:33:32] ppdet.engine INFO: Epoch: [124] [240/732] learning_rate: 0.120549 loss_vfl: 1.056273 loss_bbox: 0.561789 loss_dfl: 0.464675 loss: 2.089270 eta: 1 day, 16:06:27 batch_cost: 1.1230 data_cost: 0.0081 ips: 35.6199 images/s
[07/27 21:33:59] ppdet.engine INFO: Epoch: [124] [260/732] learning_rate: 0.120519 loss_vfl: 1.092785 loss_bbox: 0.578378 loss_dfl: 0.477873 loss: 2.166702 eta: 1 day, 16:06:04 batch_cost: 1.1020 data_cost: 0.0054 ips: 36.2986 images/s
[07/27 21:34:24] ppdet.engine INFO: Epoch: [124] [280/732] learning_rate: 0.120490 loss_vfl: 1.145247 loss_bbox: 0.591068 loss_dfl: 0.485803 loss: 2.232117 eta: 1 day, 16:05:38 batch_cost: 0.9803 data_cost: 0.0543 ips: 40.8042 images/s
[07/27 21:34:50] ppdet.engine INFO: Epoch: [124] [300/732] learning_rate: 0.120461 loss_vfl: 1.115493 loss_bbox: 0.579665 loss_dfl: 0.477674 loss: 2.183132 eta: 1 day, 16:05:12 batch_cost: 1.0073 data_cost: 0.0829 ips: 39.7101 images/s
[07/27 21:35:20] ppdet.engine INFO: Epoch: [124] [320/732] learning_rate: 0.120432 loss_vfl: 1.127919 loss_bbox: 0.557626 loss_dfl: 0.468560 loss: 2.140568 eta: 1 day, 16:04:51 batch_cost: 1.1775 data_cost: 0.0586 ips: 33.9706 images/s
[07/27 21:35:46] ppdet.engine INFO: Epoch: [124] [340/732] learning_rate: 0.120403 loss_vfl: 1.108324 loss_bbox: 0.567528 loss_dfl: 0.472629 loss: 2.157844 eta: 1 day, 16:04:27 batch_cost: 1.0654 data_cost: 0.0431 ips: 37.5443 images/s
[07/27 21:36:13] ppdet.engine INFO: Epoch: [124] [360/732] learning_rate: 0.120373 loss_vfl: 1.064792 loss_bbox: 0.559473 loss_dfl: 0.459066 loss: 2.078250 eta: 1 day, 16:04:03 batch_cost: 1.0806 data_cost: 0.0047 ips: 37.0172 images/s
[07/27 21:36:39] ppdet.engine INFO: Epoch: [124] [380/732] learning_rate: 0.120344 loss_vfl: 1.085426 loss_bbox: 0.570878 loss_dfl: 0.471201 loss: 2.128650 eta: 1 day, 16:03:38 batch_cost: 1.0302 data_cost: 0.0073 ips: 38.8256 images/s
[07/27 21:37:05] ppdet.engine INFO: Epoch: [124] [400/732] learning_rate: 0.120315 loss_vfl: 1.076982 loss_bbox: 0.578377 loss_dfl: 0.472126 loss: 2.134245 eta: 1 day, 16:03:14 batch_cost: 1.0532 data_cost: 0.0121 ips: 37.9803 images/s
[07/27 21:37:33] ppdet.engine INFO: Epoch: [124] [420/732] learning_rate: 0.120286 loss_vfl: 1.081894 loss_bbox: 0.564367 loss_dfl: 0.467688 loss: 2.115187 eta: 1 day, 16:02:51 batch_cost: 1.0965 data_cost: 0.0061 ips: 36.4800 images/s
[07/27 21:37:58] ppdet.engine INFO: Epoch: [124] [440/732] learning_rate: 0.120257 loss_vfl: 1.113147 loss_bbox: 0.584407 loss_dfl: 0.474169 loss: 2.157012 eta: 1 day, 16:02:25 batch_cost: 0.9953 data_cost: 0.0078 ips: 40.1898 images/s
[07/27 21:38:24] ppdet.engine INFO: Epoch: [124] [460/732] learning_rate: 0.120227 loss_vfl: 1.143564 loss_bbox: 0.600077 loss_dfl: 0.497173 loss: 2.246170 eta: 1 day, 16:02:00 batch_cost: 1.0438 data_cost: 0.0096 ips: 38.3208 images/s
[07/27 21:38:51] ppdet.engine INFO: Epoch: [124] [480/732] learning_rate: 0.120198 loss_vfl: 1.105010 loss_bbox: 0.574457 loss_dfl: 0.477110 loss: 2.142713 eta: 1 day, 16:01:36 batch_cost: 1.0711 data_cost: 0.0111 ips: 37.3443 images/s
[07/27 21:39:18] ppdet.engine INFO: Epoch: [124] [500/732] learning_rate: 0.120169 loss_vfl: 1.086222 loss_bbox: 0.551582 loss_dfl: 0.450083 loss: 2.103961 eta: 1 day, 16:01:16 batch_cost: 1.2057 data_cost: 0.0067 ips: 33.1748 images/s
[07/27 21:39:42] ppdet.engine INFO: Epoch: [124] [520/732] learning_rate: 0.120140 loss_vfl: 1.082334 loss_bbox: 0.563349 loss_dfl: 0.459419 loss: 2.085545 eta: 1 day, 16:00:49 batch_cost: 0.9784 data_cost: 0.0089 ips: 40.8821 images/s
[07/27 21:40:09] ppdet.engine INFO: Epoch: [124] [540/732] learning_rate: 0.120111 loss_vfl: 1.087301 loss_bbox: 0.573132 loss_dfl: 0.471505 loss: 2.123299 eta: 1 day, 16:00:27 batch_cost: 1.1360 data_cost: 0.0076 ips: 35.2102 images/s
[07/27 21:40:35] ppdet.engine INFO: Epoch: [124] [560/732] learning_rate: 0.120081 loss_vfl: 1.112121 loss_bbox: 0.586984 loss_dfl: 0.482838 loss: 2.151514 eta: 1 day, 16:00:04 batch_cost: 1.0925 data_cost: 0.0047 ips: 36.6133 images/s
[07/27 21:41:02] ppdet.engine INFO: Epoch: [124] [580/732] learning_rate: 0.120052 loss_vfl: 1.074328 loss_bbox: 0.551986 loss_dfl: 0.459601 loss: 2.084004 eta: 1 day, 15:59:43 batch_cost: 1.1578 data_cost: 0.0034 ips: 34.5497 images/s
[07/27 21:41:28] ppdet.engine INFO: Epoch: [124] [600/732] learning_rate: 0.120023 loss_vfl: 1.091620 loss_bbox: 0.557509 loss_dfl: 0.461550 loss: 2.104798 eta: 1 day, 15:59:19 batch_cost: 1.0847 data_cost: 0.0858 ips: 36.8779 images/s
[07/27 21:41:55] ppdet.engine INFO: Epoch: [124] [620/732] learning_rate: 0.119994 loss_vfl: 1.060043 loss_bbox: 0.561339 loss_dfl: 0.470420 loss: 2.095356 eta: 1 day, 15:58:56 batch_cost: 1.0998 data_cost: 0.0050 ips: 36.3718 images/s
[07/27 21:42:21] ppdet.engine INFO: Epoch: [124] [640/732] learning_rate: 0.119965 loss_vfl: 1.088730 loss_bbox: 0.577189 loss_dfl: 0.470375 loss: 2.122592 eta: 1 day, 15:58:31 batch_cost: 1.0421 data_cost: 0.0097 ips: 38.3837 images/s
[07/27 21:42:44] ppdet.engine INFO: Epoch: [124] [660/732] learning_rate: 0.119935 loss_vfl: 1.124181 loss_bbox: 0.571697 loss_dfl: 0.483502 loss: 2.178097 eta: 1 day, 15:58:03 batch_cost: 0.9038 data_cost: 0.0059 ips: 44.2590 images/s
[07/27 21:43:10] ppdet.engine INFO: Epoch: [124] [680/732] learning_rate: 0.119906 loss_vfl: 1.118678 loss_bbox: 0.581770 loss_dfl: 0.475406 loss: 2.163740 eta: 1 day, 15:57:37 batch_cost: 1.0262 data_cost: 0.0137 ips: 38.9798 images/s
[07/27 21:43:36] ppdet.engine INFO: Epoch: [124] [700/732] learning_rate: 0.119877 loss_vfl: 1.116391 loss_bbox: 0.584732 loss_dfl: 0.468351 loss: 2.143624 eta: 1 day, 15:57:13 batch_cost: 1.0356 data_cost: 0.0055 ips: 38.6267 images/s
[07/27 21:44:03] ppdet.engine INFO: Epoch: [124] [720/732] learning_rate: 0.119848 loss_vfl: 1.111798 loss_bbox: 0.558976 loss_dfl: 0.477424 loss: 2.179129 eta: 1 day, 15:56:48 batch_cost: 1.0332 data_cost: 0.0155 ips: 38.7148 images/s
[07/27 21:44:23] ppdet.engine INFO: Epoch: [125] [  0/732] learning_rate: 0.119830 loss_vfl: 1.133826 loss_bbox: 0.561268 loss_dfl: 0.480588 loss: 2.179129 eta: 1 day, 15:56:40 batch_cost: 1.3128 data_cost: 0.5070 ips: 30.4689 images/s
[07/27 21:44:52] ppdet.engine INFO: Epoch: [125] [ 20/732] learning_rate: 0.119801 loss_vfl: 1.100863 loss_bbox: 0.578145 loss_dfl: 0.468106 loss: 2.126470 eta: 1 day, 15:56:18 batch_cost: 1.1347 data_cost: 0.0060 ips: 35.2525 images/s
[07/27 21:45:19] ppdet.engine INFO: Epoch: [125] [ 40/732] learning_rate: 0.119772 loss_vfl: 1.135046 loss_bbox: 0.586623 loss_dfl: 0.481289 loss: 2.208538 eta: 1 day, 15:55:55 batch_cost: 1.1263 data_cost: 0.0120 ips: 35.5136 images/s
[07/27 21:45:48] ppdet.engine INFO: Epoch: [125] [ 60/732] learning_rate: 0.119743 loss_vfl: 1.053303 loss_bbox: 0.549638 loss_dfl: 0.455979 loss: 2.060564 eta: 1 day, 15:55:32 batch_cost: 1.1091 data_cost: 0.0027 ips: 36.0667 images/s
[07/27 21:46:13] ppdet.engine INFO: Epoch: [125] [ 80/732] learning_rate: 0.119713 loss_vfl: 1.103179 loss_bbox: 0.565076 loss_dfl: 0.477182 loss: 2.153798 eta: 1 day, 15:55:08 batch_cost: 1.0378 data_cost: 0.0166 ips: 38.5436 images/s
[07/27 21:46:38] ppdet.engine INFO: Epoch: [125] [100/732] learning_rate: 0.119684 loss_vfl: 1.094731 loss_bbox: 0.561674 loss_dfl: 0.469372 loss: 2.129065 eta: 1 day, 15:54:41 batch_cost: 0.9621 data_cost: 0.0128 ips: 41.5778 images/s
[07/27 21:47:04] ppdet.engine INFO: Epoch: [125] [120/732] learning_rate: 0.119655 loss_vfl: 1.113537 loss_bbox: 0.570316 loss_dfl: 0.473006 loss: 2.168833 eta: 1 day, 15:54:16 batch_cost: 1.0424 data_cost: 0.1180 ips: 38.3742 images/s
[07/27 21:47:31] ppdet.engine INFO: Epoch: [125] [140/732] learning_rate: 0.119626 loss_vfl: 1.103355 loss_bbox: 0.587821 loss_dfl: 0.484174 loss: 2.177922 eta: 1 day, 15:53:52 batch_cost: 1.0871 data_cost: 0.0079 ips: 36.7967 images/s
[07/27 21:47:57] ppdet.engine INFO: Epoch: [125] [160/732] learning_rate: 0.119596 loss_vfl: 1.101309 loss_bbox: 0.568883 loss_dfl: 0.480500 loss: 2.155679 eta: 1 day, 15:53:28 batch_cost: 1.0370 data_cost: 0.0087 ips: 38.5718 images/s
[07/27 21:48:24] ppdet.engine INFO: Epoch: [125] [180/732] learning_rate: 0.119567 loss_vfl: 1.086721 loss_bbox: 0.561328 loss_dfl: 0.465710 loss: 2.087162 eta: 1 day, 15:53:05 batch_cost: 1.1296 data_cost: 0.0022 ips: 35.4115 images/s
[07/27 21:48:51] ppdet.engine INFO: Epoch: [125] [200/732] learning_rate: 0.119538 loss_vfl: 1.140340 loss_bbox: 0.596654 loss_dfl: 0.488624 loss: 2.215258 eta: 1 day, 15:52:40 batch_cost: 1.0233 data_cost: 0.0044 ips: 39.0887 images/s
[07/27 21:49:17] ppdet.engine INFO: Epoch: [125] [220/732] learning_rate: 0.119509 loss_vfl: 1.106301 loss_bbox: 0.582003 loss_dfl: 0.486733 loss: 2.185053 eta: 1 day, 15:52:16 batch_cost: 1.0561 data_cost: 0.0050 ips: 37.8768 images/s
[07/27 21:49:45] ppdet.engine INFO: Epoch: [125] [240/732] learning_rate: 0.119479 loss_vfl: 1.161061 loss_bbox: 0.582190 loss_dfl: 0.479528 loss: 2.227312 eta: 1 day, 15:51:53 batch_cost: 1.1220 data_cost: 0.0071 ips: 35.6493 images/s
[07/27 21:50:10] ppdet.engine INFO: Epoch: [125] [260/732] learning_rate: 0.119450 loss_vfl: 1.123244 loss_bbox: 0.573352 loss_dfl: 0.478707 loss: 2.182606 eta: 1 day, 15:51:26 batch_cost: 0.9287 data_cost: 0.0071 ips: 43.0702 images/s
[07/27 21:50:35] ppdet.engine INFO: Epoch: [125] [280/732] learning_rate: 0.119421 loss_vfl: 1.116944 loss_bbox: 0.585602 loss_dfl: 0.477483 loss: 2.172310 eta: 1 day, 15:50:59 batch_cost: 0.9849 data_cost: 0.0111 ips: 40.6120 images/s
[07/27 21:51:02] ppdet.engine INFO: Epoch: [125] [300/732] learning_rate: 0.119392 loss_vfl: 1.150050 loss_bbox: 0.601010 loss_dfl: 0.492133 loss: 2.252840 eta: 1 day, 15:50:35 batch_cost: 1.0752 data_cost: 0.0085 ips: 37.2039 images/s
[07/27 21:51:27] ppdet.engine INFO: Epoch: [125] [320/732] learning_rate: 0.119362 loss_vfl: 1.116970 loss_bbox: 0.572510 loss_dfl: 0.483588 loss: 2.189911 eta: 1 day, 15:50:09 batch_cost: 0.9879 data_cost: 0.0062 ips: 40.4905 images/s
[07/27 21:51:54] ppdet.engine INFO: Epoch: [125] [340/732] learning_rate: 0.119333 loss_vfl: 1.131492 loss_bbox: 0.579824 loss_dfl: 0.480909 loss: 2.175816 eta: 1 day, 15:49:44 batch_cost: 1.0201 data_cost: 0.0064 ips: 39.2104 images/s
[07/27 21:52:19] ppdet.engine INFO: Epoch: [125] [360/732] learning_rate: 0.119304 loss_vfl: 1.083964 loss_bbox: 0.560163 loss_dfl: 0.460178 loss: 2.093433 eta: 1 day, 15:49:19 batch_cost: 1.0172 data_cost: 0.0074 ips: 39.3223 images/s
[07/27 21:52:45] ppdet.engine INFO: Epoch: [125] [380/732] learning_rate: 0.119275 loss_vfl: 1.092986 loss_bbox: 0.577425 loss_dfl: 0.472817 loss: 2.143502 eta: 1 day, 15:48:53 batch_cost: 0.9894 data_cost: 0.0134 ips: 40.4286 images/s
[07/27 21:53:10] ppdet.engine INFO: Epoch: [125] [400/732] learning_rate: 0.119246 loss_vfl: 1.084250 loss_bbox: 0.542588 loss_dfl: 0.460492 loss: 2.092610 eta: 1 day, 15:48:27 batch_cost: 1.0025 data_cost: 0.0126 ips: 39.8998 images/s
[07/27 21:53:35] ppdet.engine INFO: Epoch: [125] [420/732] learning_rate: 0.119216 loss_vfl: 1.095264 loss_bbox: 0.541586 loss_dfl: 0.456161 loss: 2.089610 eta: 1 day, 15:48:01 batch_cost: 1.0098 data_cost: 0.0035 ips: 39.6137 images/s
[07/27 21:54:00] ppdet.engine INFO: Epoch: [125] [440/732] learning_rate: 0.119187 loss_vfl: 1.130520 loss_bbox: 0.570374 loss_dfl: 0.486746 loss: 2.190677 eta: 1 day, 15:47:38 batch_cost: 1.0912 data_cost: 0.0061 ips: 36.6584 images/s
[07/27 21:54:28] ppdet.engine INFO: Epoch: [125] [460/732] learning_rate: 0.119158 loss_vfl: 1.107926 loss_bbox: 0.573783 loss_dfl: 0.477085 loss: 2.139999 eta: 1 day, 15:47:14 batch_cost: 1.0786 data_cost: 0.0098 ips: 37.0854 images/s
[07/27 21:54:53] ppdet.engine INFO: Epoch: [125] [480/732] learning_rate: 0.119129 loss_vfl: 1.113528 loss_bbox: 0.575668 loss_dfl: 0.474691 loss: 2.158940 eta: 1 day, 15:46:48 batch_cost: 0.9957 data_cost: 0.0059 ips: 40.1744 images/s
[07/27 21:55:22] ppdet.engine INFO: Epoch: [125] [500/732] learning_rate: 0.119099 loss_vfl: 1.130033 loss_bbox: 0.588146 loss_dfl: 0.481134 loss: 2.202101 eta: 1 day, 15:46:26 batch_cost: 1.1200 data_cost: 0.0078 ips: 35.7137 images/s
[07/27 21:55:48] ppdet.engine INFO: Epoch: [125] [520/732] learning_rate: 0.119070 loss_vfl: 1.079589 loss_bbox: 0.572450 loss_dfl: 0.469309 loss: 2.098398 eta: 1 day, 15:45:59 batch_cost: 0.9687 data_cost: 0.0078 ips: 41.2918 images/s
[07/27 21:56:14] ppdet.engine INFO: Epoch: [125] [540/732] learning_rate: 0.119041 loss_vfl: 1.107684 loss_bbox: 0.549474 loss_dfl: 0.460991 loss: 2.149094 eta: 1 day, 15:45:33 batch_cost: 0.9856 data_cost: 0.0059 ips: 40.5826 images/s
[07/27 21:56:42] ppdet.engine INFO: Epoch: [125] [560/732] learning_rate: 0.119012 loss_vfl: 1.174019 loss_bbox: 0.603690 loss_dfl: 0.500223 loss: 2.270114 eta: 1 day, 15:45:08 batch_cost: 1.0308 data_cost: 0.0090 ips: 38.8049 images/s
[07/27 21:57:07] ppdet.engine INFO: Epoch: [125] [580/732] learning_rate: 0.118982 loss_vfl: 1.172003 loss_bbox: 0.591283 loss_dfl: 0.505514 loss: 2.258906 eta: 1 day, 15:44:42 batch_cost: 1.0011 data_cost: 0.0083 ips: 39.9572 images/s
[07/27 21:57:35] ppdet.engine INFO: Epoch: [125] [600/732] learning_rate: 0.118953 loss_vfl: 1.115417 loss_bbox: 0.588093 loss_dfl: 0.479381 loss: 2.174325 eta: 1 day, 15:44:17 batch_cost: 1.0218 data_cost: 0.0163 ips: 39.1448 images/s
[07/27 21:58:02] ppdet.engine INFO: Epoch: [125] [620/732] learning_rate: 0.118924 loss_vfl: 1.054242 loss_bbox: 0.543324 loss_dfl: 0.453734 loss: 2.048369 eta: 1 day, 15:43:54 batch_cost: 1.0924 data_cost: 0.0145 ips: 36.6154 images/s
[07/27 21:58:28] ppdet.engine INFO: Epoch: [125] [640/732] learning_rate: 0.118894 loss_vfl: 1.112862 loss_bbox: 0.578455 loss_dfl: 0.474842 loss: 2.133795 eta: 1 day, 15:43:29 batch_cost: 1.0419 data_cost: 0.0049 ips: 38.3912 images/s
[07/27 21:58:53] ppdet.engine INFO: Epoch: [125] [660/732] learning_rate: 0.118865 loss_vfl: 1.080385 loss_bbox: 0.562630 loss_dfl: 0.453988 loss: 2.066284 eta: 1 day, 15:43:04 batch_cost: 1.0306 data_cost: 0.0070 ips: 38.8128 images/s
[07/27 21:59:18] ppdet.engine INFO: Epoch: [125] [680/732] learning_rate: 0.118836 loss_vfl: 1.134693 loss_bbox: 0.592297 loss_dfl: 0.482440 loss: 2.197447 eta: 1 day, 15:42:39 batch_cost: 1.0142 data_cost: 0.0100 ips: 39.4390 images/s
[07/27 21:59:47] ppdet.engine INFO: Epoch: [125] [700/732] learning_rate: 0.118807 loss_vfl: 1.127431 loss_bbox: 0.595062 loss_dfl: 0.498366 loss: 2.233351 eta: 1 day, 15:42:18 batch_cost: 1.1864 data_cost: 0.0023 ips: 33.7167 images/s
[07/27 22:00:15] ppdet.engine INFO: Epoch: [125] [720/732] learning_rate: 0.118777 loss_vfl: 1.083164 loss_bbox: 0.573523 loss_dfl: 0.468133 loss: 2.123547 eta: 1 day, 15:41:53 batch_cost: 1.0340 data_cost: 0.0096 ips: 38.6859 images/s
[07/27 22:00:32] ppdet.engine INFO: Epoch: [126] [  0/732] learning_rate: 0.118760 loss_vfl: 1.111819 loss_bbox: 0.569403 loss_dfl: 0.472729 loss: 2.129008 eta: 1 day, 15:41:41 batch_cost: 1.1382 data_cost: 0.2939 ips: 35.1436 images/s
[07/27 22:01:04] ppdet.engine INFO: Epoch: [126] [ 20/732] learning_rate: 0.118731 loss_vfl: 1.129327 loss_bbox: 0.576785 loss_dfl: 0.479784 loss: 2.199430 eta: 1 day, 15:41:26 batch_cost: 1.3850 data_cost: 0.1571 ips: 28.8802 images/s
[07/27 22:01:30] ppdet.engine INFO: Epoch: [126] [ 40/732] learning_rate: 0.118701 loss_vfl: 1.133813 loss_bbox: 0.579179 loss_dfl: 0.484615 loss: 2.194694 eta: 1 day, 15:41:00 batch_cost: 0.9742 data_cost: 0.0054 ips: 41.0586 images/s
[07/27 22:01:56] ppdet.engine INFO: Epoch: [126] [ 60/732] learning_rate: 0.118672 loss_vfl: 1.132709 loss_bbox: 0.579826 loss_dfl: 0.476293 loss: 2.169439 eta: 1 day, 15:40:35 batch_cost: 1.0271 data_cost: 0.0166 ips: 38.9438 images/s
[07/27 22:02:24] ppdet.engine INFO: Epoch: [126] [ 80/732] learning_rate: 0.118643 loss_vfl: 1.125816 loss_bbox: 0.579262 loss_dfl: 0.486472 loss: 2.182070 eta: 1 day, 15:40:16 batch_cost: 1.2628 data_cost: 0.0094 ips: 31.6744 images/s
[07/27 22:02:50] ppdet.engine INFO: Epoch: [126] [100/732] learning_rate: 0.118614 loss_vfl: 1.155103 loss_bbox: 0.599695 loss_dfl: 0.497449 loss: 2.262658 eta: 1 day, 15:39:53 batch_cost: 1.0964 data_cost: 0.0030 ips: 36.4836 images/s
[07/27 22:03:17] ppdet.engine INFO: Epoch: [126] [120/732] learning_rate: 0.118584 loss_vfl: 1.138924 loss_bbox: 0.583255 loss_dfl: 0.486477 loss: 2.216093 eta: 1 day, 15:39:31 batch_cost: 1.1324 data_cost: 0.0066 ips: 35.3237 images/s
[07/27 22:03:42] ppdet.engine INFO: Epoch: [126] [140/732] learning_rate: 0.118555 loss_vfl: 1.095712 loss_bbox: 0.565833 loss_dfl: 0.477806 loss: 2.146680 eta: 1 day, 15:39:05 batch_cost: 0.9982 data_cost: 0.0081 ips: 40.0711 images/s
[07/27 22:04:11] ppdet.engine INFO: Epoch: [126] [160/732] learning_rate: 0.118526 loss_vfl: 1.092945 loss_bbox: 0.553584 loss_dfl: 0.466667 loss: 2.137940 eta: 1 day, 15:38:44 batch_cost: 1.1708 data_cost: 0.0050 ips: 34.1647 images/s
[07/27 22:04:38] ppdet.engine INFO: Epoch: [126] [180/732] learning_rate: 0.118496 loss_vfl: 1.110315 loss_bbox: 0.580238 loss_dfl: 0.479430 loss: 2.143309 eta: 1 day, 15:38:23 batch_cost: 1.1786 data_cost: 0.0040 ips: 33.9378 images/s
[07/27 22:05:04] ppdet.engine INFO: Epoch: [126] [200/732] learning_rate: 0.118467 loss_vfl: 1.075330 loss_bbox: 0.565465 loss_dfl: 0.464340 loss: 2.092078 eta: 1 day, 15:37:59 batch_cost: 1.0852 data_cost: 0.0067 ips: 36.8599 images/s
[07/27 22:05:32] ppdet.engine INFO: Epoch: [126] [220/732] learning_rate: 0.118438 loss_vfl: 1.073928 loss_bbox: 0.567748 loss_dfl: 0.465174 loss: 2.100172 eta: 1 day, 15:37:38 batch_cost: 1.1585 data_cost: 0.0196 ips: 34.5271 images/s
[07/27 22:05:57] ppdet.engine INFO: Epoch: [126] [240/732] learning_rate: 0.118409 loss_vfl: 1.120188 loss_bbox: 0.578064 loss_dfl: 0.485180 loss: 2.181236 eta: 1 day, 15:37:14 batch_cost: 1.0690 data_cost: 0.0067 ips: 37.4165 images/s
[07/27 22:06:24] ppdet.engine INFO: Epoch: [126] [260/732] learning_rate: 0.118379 loss_vfl: 1.141395 loss_bbox: 0.583746 loss_dfl: 0.483047 loss: 2.208610 eta: 1 day, 15:36:51 batch_cost: 1.0800 data_cost: 0.0018 ips: 37.0380 images/s
[07/27 22:06:50] ppdet.engine INFO: Epoch: [126] [280/732] learning_rate: 0.118350 loss_vfl: 1.092717 loss_bbox: 0.558129 loss_dfl: 0.469902 loss: 2.132842 eta: 1 day, 15:36:26 batch_cost: 1.0551 data_cost: 0.0059 ips: 37.9098 images/s
[07/27 22:07:15] ppdet.engine INFO: Epoch: [126] [300/732] learning_rate: 0.118321 loss_vfl: 1.122104 loss_bbox: 0.544934 loss_dfl: 0.467875 loss: 2.152901 eta: 1 day, 15:35:59 batch_cost: 0.9638 data_cost: 0.0107 ips: 41.5034 images/s
[07/27 22:07:41] ppdet.engine INFO: Epoch: [126] [320/732] learning_rate: 0.118292 loss_vfl: 1.098206 loss_bbox: 0.547576 loss_dfl: 0.462562 loss: 2.089368 eta: 1 day, 15:35:37 batch_cost: 1.1255 data_cost: 0.0161 ips: 35.5391 images/s
[07/27 22:08:07] ppdet.engine INFO: Epoch: [126] [340/732] learning_rate: 0.118262 loss_vfl: 1.128002 loss_bbox: 0.565564 loss_dfl: 0.465919 loss: 2.159055 eta: 1 day, 15:35:12 batch_cost: 1.0048 data_cost: 0.0066 ips: 39.8108 images/s
[07/27 22:08:34] ppdet.engine INFO: Epoch: [126] [360/732] learning_rate: 0.118233 loss_vfl: 1.130999 loss_bbox: 0.588911 loss_dfl: 0.492367 loss: 2.197327 eta: 1 day, 15:34:47 batch_cost: 1.0413 data_cost: 0.0101 ips: 38.4136 images/s
[07/27 22:09:01] ppdet.engine INFO: Epoch: [126] [380/732] learning_rate: 0.118204 loss_vfl: 1.079873 loss_bbox: 0.571772 loss_dfl: 0.471537 loss: 2.117310 eta: 1 day, 15:34:24 batch_cost: 1.1112 data_cost: 0.0112 ips: 35.9960 images/s
[07/27 22:09:27] ppdet.engine INFO: Epoch: [126] [400/732] learning_rate: 0.118174 loss_vfl: 1.132589 loss_bbox: 0.585283 loss_dfl: 0.482781 loss: 2.233195 eta: 1 day, 15:33:57 batch_cost: 0.9491 data_cost: 0.0071 ips: 42.1432 images/s
[07/27 22:09:51] ppdet.engine INFO: Epoch: [126] [420/732] learning_rate: 0.118145 loss_vfl: 1.096601 loss_bbox: 0.575357 loss_dfl: 0.464664 loss: 2.117260 eta: 1 day, 15:33:31 batch_cost: 0.9828 data_cost: 0.0063 ips: 40.7015 images/s
[07/27 22:10:18] ppdet.engine INFO: Epoch: [126] [440/732] learning_rate: 0.118116 loss_vfl: 1.102634 loss_bbox: 0.569710 loss_dfl: 0.468273 loss: 2.145587 eta: 1 day, 15:33:08 batch_cost: 1.1241 data_cost: 0.0067 ips: 35.5849 images/s
[07/27 22:10:43] ppdet.engine INFO: Epoch: [126] [460/732] learning_rate: 0.118087 loss_vfl: 1.074754 loss_bbox: 0.549093 loss_dfl: 0.455496 loss: 2.091413 eta: 1 day, 15:32:41 batch_cost: 0.9471 data_cost: 0.0082 ips: 42.2352 images/s
[07/27 22:11:12] ppdet.engine INFO: Epoch: [126] [480/732] learning_rate: 0.118057 loss_vfl: 1.123991 loss_bbox: 0.601023 loss_dfl: 0.491945 loss: 2.221596 eta: 1 day, 15:32:19 batch_cost: 1.1463 data_cost: 0.0066 ips: 34.8947 images/s
[07/27 22:11:36] ppdet.engine INFO: Epoch: [126] [500/732] learning_rate: 0.118028 loss_vfl: 1.131179 loss_bbox: 0.592606 loss_dfl: 0.484661 loss: 2.210051 eta: 1 day, 15:31:53 batch_cost: 0.9860 data_cost: 0.0203 ips: 40.5698 images/s
[07/27 22:12:02] ppdet.engine INFO: Epoch: [126] [520/732] learning_rate: 0.117999 loss_vfl: 1.118934 loss_bbox: 0.597595 loss_dfl: 0.480292 loss: 2.213671 eta: 1 day, 15:31:28 batch_cost: 1.0185 data_cost: 0.0068 ips: 39.2740 images/s
[07/27 22:12:28] ppdet.engine INFO: Epoch: [126] [540/732] learning_rate: 0.117969 loss_vfl: 1.121721 loss_bbox: 0.592082 loss_dfl: 0.477053 loss: 2.174765 eta: 1 day, 15:31:03 batch_cost: 1.0299 data_cost: 0.0057 ips: 38.8378 images/s
[07/27 22:12:55] ppdet.engine INFO: Epoch: [126] [560/732] learning_rate: 0.117940 loss_vfl: 1.130390 loss_bbox: 0.577639 loss_dfl: 0.485466 loss: 2.202186 eta: 1 day, 15:30:38 batch_cost: 1.0120 data_cost: 0.0022 ips: 39.5240 images/s
[07/27 22:13:20] ppdet.engine INFO: Epoch: [126] [580/732] learning_rate: 0.117911 loss_vfl: 1.094430 loss_bbox: 0.553163 loss_dfl: 0.465644 loss: 2.120597 eta: 1 day, 15:30:12 batch_cost: 1.0227 data_cost: 0.0074 ips: 39.1108 images/s
[07/27 22:13:45] ppdet.engine INFO: Epoch: [126] [600/732] learning_rate: 0.117881 loss_vfl: 1.109898 loss_bbox: 0.562836 loss_dfl: 0.468873 loss: 2.144174 eta: 1 day, 15:29:46 batch_cost: 0.9871 data_cost: 0.0076 ips: 40.5220 images/s
[07/27 22:14:13] ppdet.engine INFO: Epoch: [126] [620/732] learning_rate: 0.117852 loss_vfl: 1.088022 loss_bbox: 0.556052 loss_dfl: 0.464364 loss: 2.106879 eta: 1 day, 15:29:25 batch_cost: 1.1781 data_cost: 0.0054 ips: 33.9543 images/s
[07/27 22:14:38] ppdet.engine INFO: Epoch: [126] [640/732] learning_rate: 0.117823 loss_vfl: 1.079025 loss_bbox: 0.555050 loss_dfl: 0.469203 loss: 2.112744 eta: 1 day, 15:29:00 batch_cost: 1.0083 data_cost: 0.0124 ips: 39.6701 images/s
[07/27 22:15:04] ppdet.engine INFO: Epoch: [126] [660/732] learning_rate: 0.117794 loss_vfl: 1.152711 loss_bbox: 0.591720 loss_dfl: 0.495320 loss: 2.245786 eta: 1 day, 15:28:35 batch_cost: 1.0202 data_cost: 0.0145 ips: 39.2064 images/s
[07/27 22:15:30] ppdet.engine INFO: Epoch: [126] [680/732] learning_rate: 0.117764 loss_vfl: 1.104309 loss_bbox: 0.562768 loss_dfl: 0.463274 loss: 2.145730 eta: 1 day, 15:28:12 batch_cost: 1.1062 data_cost: 0.0053 ips: 36.1603 images/s
[07/27 22:15:56] ppdet.engine INFO: Epoch: [126] [700/732] learning_rate: 0.117735 loss_vfl: 1.146887 loss_bbox: 0.574560 loss_dfl: 0.486758 loss: 2.220393 eta: 1 day, 15:27:49 batch_cost: 1.0952 data_cost: 0.0102 ips: 36.5238 images/s
[07/27 22:16:22] ppdet.engine INFO: Epoch: [126] [720/732] learning_rate: 0.117706 loss_vfl: 1.065598 loss_bbox: 0.541391 loss_dfl: 0.451731 loss: 2.067938 eta: 1 day, 15:27:24 batch_cost: 1.0283 data_cost: 0.0067 ips: 38.8998 images/s
[07/27 22:16:45] ppdet.engine INFO: Epoch: [127] [  0/732] learning_rate: 0.117688 loss_vfl: 1.177498 loss_bbox: 0.609482 loss_dfl: 0.519841 loss: 2.340474 eta: 1 day, 15:27:19 batch_cost: 1.3916 data_cost: 0.5118 ips: 28.7445 images/s
[07/27 22:17:10] ppdet.engine INFO: Epoch: [127] [ 20/732] learning_rate: 0.117659 loss_vfl: 1.079848 loss_bbox: 0.565504 loss_dfl: 0.467599 loss: 2.138741 eta: 1 day, 15:26:53 batch_cost: 0.9940 data_cost: 0.0128 ips: 40.2404 images/s
[07/27 22:17:37] ppdet.engine INFO: Epoch: [127] [ 40/732] learning_rate: 0.117630 loss_vfl: 1.090523 loss_bbox: 0.575246 loss_dfl: 0.471128 loss: 2.134695 eta: 1 day, 15:26:28 batch_cost: 1.0441 data_cost: 0.0057 ips: 38.3092 images/s
[07/27 22:18:04] ppdet.engine INFO: Epoch: [127] [ 60/732] learning_rate: 0.117600 loss_vfl: 1.121070 loss_bbox: 0.581319 loss_dfl: 0.488314 loss: 2.204348 eta: 1 day, 15:26:02 batch_cost: 1.0016 data_cost: 0.0092 ips: 39.9369 images/s
[07/27 22:18:31] ppdet.engine INFO: Epoch: [127] [ 80/732] learning_rate: 0.117571 loss_vfl: 1.100506 loss_bbox: 0.564729 loss_dfl: 0.465573 loss: 2.107094 eta: 1 day, 15:25:38 batch_cost: 1.0295 data_cost: 0.0046 ips: 38.8532 images/s
[07/27 22:18:57] ppdet.engine INFO: Epoch: [127] [100/732] learning_rate: 0.117542 loss_vfl: 1.076804 loss_bbox: 0.549848 loss_dfl: 0.463437 loss: 2.092180 eta: 1 day, 15:25:13 batch_cost: 1.0495 data_cost: 0.0046 ips: 38.1136 images/s
[07/27 22:19:24] ppdet.engine INFO: Epoch: [127] [120/732] learning_rate: 0.117512 loss_vfl: 1.133420 loss_bbox: 0.580266 loss_dfl: 0.493215 loss: 2.218670 eta: 1 day, 15:24:50 batch_cost: 1.0922 data_cost: 0.0030 ips: 36.6233 images/s
[07/27 22:19:50] ppdet.engine INFO: Epoch: [127] [140/732] learning_rate: 0.117483 loss_vfl: 1.104431 loss_bbox: 0.569410 loss_dfl: 0.476004 loss: 2.145458 eta: 1 day, 15:24:26 batch_cost: 1.0663 data_cost: 0.0078 ips: 37.5138 images/s
[07/27 22:20:18] ppdet.engine INFO: Epoch: [127] [160/732] learning_rate: 0.117454 loss_vfl: 1.094899 loss_bbox: 0.555439 loss_dfl: 0.473469 loss: 2.116611 eta: 1 day, 15:24:04 batch_cost: 1.1448 data_cost: 0.0035 ips: 34.9413 images/s
[07/27 22:20:43] ppdet.engine INFO: Epoch: [127] [180/732] learning_rate: 0.117424 loss_vfl: 1.139967 loss_bbox: 0.588848 loss_dfl: 0.481258 loss: 2.220524 eta: 1 day, 15:23:41 batch_cost: 1.0814 data_cost: 0.0090 ips: 36.9898 images/s
[07/27 22:21:11] ppdet.engine INFO: Epoch: [127] [200/732] learning_rate: 0.117395 loss_vfl: 1.104993 loss_bbox: 0.568435 loss_dfl: 0.464111 loss: 2.131203 eta: 1 day, 15:23:16 batch_cost: 1.0494 data_cost: 0.0074 ips: 38.1171 images/s
[07/27 22:21:37] ppdet.engine INFO: Epoch: [127] [220/732] learning_rate: 0.117366 loss_vfl: 1.158124 loss_bbox: 0.610664 loss_dfl: 0.498792 loss: 2.272739 eta: 1 day, 15:22:52 batch_cost: 1.0686 data_cost: 0.0061 ips: 37.4317 images/s
[07/27 22:22:03] ppdet.engine INFO: Epoch: [127] [240/732] learning_rate: 0.117336 loss_vfl: 1.102895 loss_bbox: 0.578873 loss_dfl: 0.475136 loss: 2.177073 eta: 1 day, 15:22:28 batch_cost: 1.0489 data_cost: 0.0067 ips: 38.1351 images/s
[07/27 22:22:27] ppdet.engine INFO: Epoch: [127] [260/732] learning_rate: 0.117307 loss_vfl: 1.125148 loss_bbox: 0.562309 loss_dfl: 0.470663 loss: 2.163759 eta: 1 day, 15:22:00 batch_cost: 0.9152 data_cost: 0.0060 ips: 43.7062 images/s
[07/27 22:22:54] ppdet.engine INFO: Epoch: [127] [280/732] learning_rate: 0.117278 loss_vfl: 1.118505 loss_bbox: 0.575542 loss_dfl: 0.479831 loss: 2.176911 eta: 1 day, 15:21:36 batch_cost: 1.0639 data_cost: 0.0092 ips: 37.5980 images/s
[07/27 22:23:18] ppdet.engine INFO: Epoch: [127] [300/732] learning_rate: 0.117248 loss_vfl: 1.086681 loss_bbox: 0.533347 loss_dfl: 0.457295 loss: 2.080642 eta: 1 day, 15:21:10 batch_cost: 0.9737 data_cost: 0.0073 ips: 41.0821 images/s
[07/27 22:23:46] ppdet.engine INFO: Epoch: [127] [320/732] learning_rate: 0.117219 loss_vfl: 1.099560 loss_bbox: 0.555668 loss_dfl: 0.456126 loss: 2.091455 eta: 1 day, 15:20:50 batch_cost: 1.2108 data_cost: 0.2739 ips: 33.0368 images/s
[07/27 22:24:11] ppdet.engine INFO: Epoch: [127] [340/732] learning_rate: 0.117190 loss_vfl: 1.168059 loss_bbox: 0.596734 loss_dfl: 0.492238 loss: 2.245644 eta: 1 day, 15:20:23 batch_cost: 0.9696 data_cost: 0.0050 ips: 41.2559 images/s
[07/27 22:24:36] ppdet.engine INFO: Epoch: [127] [360/732] learning_rate: 0.117161 loss_vfl: 1.052496 loss_bbox: 0.554271 loss_dfl: 0.454636 loss: 2.065084 eta: 1 day, 15:19:58 batch_cost: 1.0227 data_cost: 0.0065 ips: 39.1133 images/s
[07/27 22:25:04] ppdet.engine INFO: Epoch: [127] [380/732] learning_rate: 0.117131 loss_vfl: 1.105938 loss_bbox: 0.572474 loss_dfl: 0.467955 loss: 2.129174 eta: 1 day, 15:19:35 batch_cost: 1.1208 data_cost: 0.0092 ips: 35.6877 images/s
[07/27 22:25:29] ppdet.engine INFO: Epoch: [127] [400/732] learning_rate: 0.117102 loss_vfl: 1.138505 loss_bbox: 0.585471 loss_dfl: 0.481965 loss: 2.196772 eta: 1 day, 15:19:10 batch_cost: 1.0107 data_cost: 0.0050 ips: 39.5780 images/s
[07/27 22:25:55] ppdet.engine INFO: Epoch: [127] [420/732] learning_rate: 0.117073 loss_vfl: 1.088479 loss_bbox: 0.566868 loss_dfl: 0.464752 loss: 2.112088 eta: 1 day, 15:18:44 batch_cost: 1.0012 data_cost: 0.0087 ips: 39.9501 images/s
[07/27 22:26:21] ppdet.engine INFO: Epoch: [127] [440/732] learning_rate: 0.117043 loss_vfl: 1.139238 loss_bbox: 0.582331 loss_dfl: 0.488260 loss: 2.217398 eta: 1 day, 15:18:19 batch_cost: 1.0285 data_cost: 0.0092 ips: 38.8914 images/s
[07/27 22:26:47] ppdet.engine INFO: Epoch: [127] [460/732] learning_rate: 0.117014 loss_vfl: 1.104866 loss_bbox: 0.584173 loss_dfl: 0.480169 loss: 2.187384 eta: 1 day, 15:17:55 batch_cost: 1.0508 data_cost: 0.0110 ips: 38.0675 images/s
[07/27 22:27:16] ppdet.engine INFO: Epoch: [127] [480/732] learning_rate: 0.116985 loss_vfl: 1.136239 loss_bbox: 0.575650 loss_dfl: 0.484315 loss: 2.208981 eta: 1 day, 15:17:36 batch_cost: 1.2280 data_cost: 0.0093 ips: 32.5740 images/s
[07/27 22:27:42] ppdet.engine INFO: Epoch: [127] [500/732] learning_rate: 0.116955 loss_vfl: 1.129579 loss_bbox: 0.571281 loss_dfl: 0.476588 loss: 2.159752 eta: 1 day, 15:17:13 batch_cost: 1.1119 data_cost: 0.0068 ips: 35.9739 images/s
[07/27 22:28:08] ppdet.engine INFO: Epoch: [127] [520/732] learning_rate: 0.116926 loss_vfl: 1.083296 loss_bbox: 0.568086 loss_dfl: 0.468571 loss: 2.115708 eta: 1 day, 15:16:48 batch_cost: 1.0440 data_cost: 0.0075 ips: 38.3123 images/s
[07/27 22:28:33] ppdet.engine INFO: Epoch: [127] [540/732] learning_rate: 0.116897 loss_vfl: 1.092788 loss_bbox: 0.564255 loss_dfl: 0.468134 loss: 2.136052 eta: 1 day, 15:16:22 batch_cost: 0.9572 data_cost: 0.0083 ips: 41.7891 images/s
[07/27 22:29:00] ppdet.engine INFO: Epoch: [127] [560/732] learning_rate: 0.116867 loss_vfl: 1.116685 loss_bbox: 0.583712 loss_dfl: 0.485236 loss: 2.169654 eta: 1 day, 15:15:58 batch_cost: 1.0838 data_cost: 0.0064 ips: 36.9078 images/s
[07/27 22:29:25] ppdet.engine INFO: Epoch: [127] [580/732] learning_rate: 0.116838 loss_vfl: 1.107916 loss_bbox: 0.546394 loss_dfl: 0.468947 loss: 2.122780 eta: 1 day, 15:15:34 batch_cost: 1.0416 data_cost: 0.0066 ips: 38.4038 images/s
[07/27 22:29:50] ppdet.engine INFO: Epoch: [127] [600/732] learning_rate: 0.116809 loss_vfl: 1.105042 loss_bbox: 0.560171 loss_dfl: 0.467579 loss: 2.133387 eta: 1 day, 15:15:06 batch_cost: 0.9176 data_cost: 0.0063 ips: 43.5933 images/s
[07/27 22:30:17] ppdet.engine INFO: Epoch: [127] [620/732] learning_rate: 0.116779 loss_vfl: 1.072982 loss_bbox: 0.566444 loss_dfl: 0.463424 loss: 2.096491 eta: 1 day, 15:14:41 batch_cost: 1.0538 data_cost: 0.0072 ips: 37.9575 images/s
[07/27 22:30:43] ppdet.engine INFO: Epoch: [127] [640/732] learning_rate: 0.116750 loss_vfl: 1.066839 loss_bbox: 0.562317 loss_dfl: 0.455166 loss: 2.064224 eta: 1 day, 15:14:16 batch_cost: 1.0246 data_cost: 0.0123 ips: 39.0383 images/s
[07/27 22:31:09] ppdet.engine INFO: Epoch: [127] [660/732] learning_rate: 0.116721 loss_vfl: 1.117692 loss_bbox: 0.576627 loss_dfl: 0.478332 loss: 2.178330 eta: 1 day, 15:13:51 batch_cost: 1.0130 data_cost: 0.0041 ips: 39.4854 images/s
[07/27 22:31:35] ppdet.engine INFO: Epoch: [127] [680/732] learning_rate: 0.116691 loss_vfl: 1.117912 loss_bbox: 0.576892 loss_dfl: 0.484770 loss: 2.171144 eta: 1 day, 15:13:27 batch_cost: 1.0500 data_cost: 0.0133 ips: 38.0947 images/s
[07/27 22:32:00] ppdet.engine INFO: Epoch: [127] [700/732] learning_rate: 0.116662 loss_vfl: 1.105907 loss_bbox: 0.558377 loss_dfl: 0.472656 loss: 2.137973 eta: 1 day, 15:13:02 batch_cost: 1.0321 data_cost: 0.0052 ips: 38.7546 images/s
[07/27 22:32:25] ppdet.engine INFO: Epoch: [127] [720/732] learning_rate: 0.116633 loss_vfl: 1.128410 loss_bbox: 0.601986 loss_dfl: 0.493587 loss: 2.215232 eta: 1 day, 15:12:36 batch_cost: 0.9739 data_cost: 0.0069 ips: 41.0722 images/s
[07/27 22:32:47] ppdet.engine INFO: Epoch: [128] [  0/732] learning_rate: 0.116615 loss_vfl: 1.138295 loss_bbox: 0.596696 loss_dfl: 0.488313 loss: 2.236056 eta: 1 day, 15:12:30 batch_cost: 1.3896 data_cost: 0.5484 ips: 28.7857 images/s
[07/27 22:33:13] ppdet.engine INFO: Epoch: [128] [ 20/732] learning_rate: 0.116586 loss_vfl: 1.116650 loss_bbox: 0.558657 loss_dfl: 0.473081 loss: 2.146388 eta: 1 day, 15:12:05 batch_cost: 1.0534 data_cost: 0.0093 ips: 37.9718 images/s
[07/27 22:33:40] ppdet.engine INFO: Epoch: [128] [ 40/732] learning_rate: 0.116556 loss_vfl: 1.108472 loss_bbox: 0.585706 loss_dfl: 0.481214 loss: 2.163660 eta: 1 day, 15:11:42 batch_cost: 1.0958 data_cost: 0.0053 ips: 36.5016 images/s
[07/27 22:34:07] ppdet.engine INFO: Epoch: [128] [ 60/732] learning_rate: 0.116527 loss_vfl: 1.153746 loss_bbox: 0.597915 loss_dfl: 0.497346 loss: 2.245628 eta: 1 day, 15:11:20 batch_cost: 1.1409 data_cost: 0.0066 ips: 35.0600 images/s
[07/27 22:34:34] ppdet.engine INFO: Epoch: [128] [ 80/732] learning_rate: 0.116498 loss_vfl: 1.094761 loss_bbox: 0.570969 loss_dfl: 0.463029 loss: 2.105473 eta: 1 day, 15:10:57 batch_cost: 1.1053 data_cost: 0.0048 ips: 36.1876 images/s
[07/27 22:35:01] ppdet.engine INFO: Epoch: [128] [100/732] learning_rate: 0.116468 loss_vfl: 1.102790 loss_bbox: 0.572298 loss_dfl: 0.478233 loss: 2.165633 eta: 1 day, 15:10:33 batch_cost: 1.0512 data_cost: 0.0058 ips: 38.0515 images/s
[07/27 22:35:29] ppdet.engine INFO: Epoch: [128] [120/732] learning_rate: 0.116439 loss_vfl: 1.067706 loss_bbox: 0.568036 loss_dfl: 0.469425 loss: 2.096761 eta: 1 day, 15:10:12 batch_cost: 1.1641 data_cost: 0.0074 ips: 34.3622 images/s
[07/27 22:35:55] ppdet.engine INFO: Epoch: [128] [140/732] learning_rate: 0.116410 loss_vfl: 1.085437 loss_bbox: 0.558758 loss_dfl: 0.479793 loss: 2.144349 eta: 1 day, 15:09:48 batch_cost: 1.0465 data_cost: 0.0074 ips: 38.2227 images/s
[07/27 22:36:22] ppdet.engine INFO: Epoch: [128] [160/732] learning_rate: 0.116380 loss_vfl: 1.029374 loss_bbox: 0.530375 loss_dfl: 0.446729 loss: 1.999180 eta: 1 day, 15:09:25 batch_cost: 1.1282 data_cost: 0.0065 ips: 35.4542 images/s
[07/27 22:36:48] ppdet.engine INFO: Epoch: [128] [180/732] learning_rate: 0.116351 loss_vfl: 1.122288 loss_bbox: 0.567698 loss_dfl: 0.480180 loss: 2.187825 eta: 1 day, 15:09:01 batch_cost: 1.0513 data_cost: 0.0088 ips: 38.0491 images/s
[07/27 22:37:15] ppdet.engine INFO: Epoch: [128] [200/732] learning_rate: 0.116322 loss_vfl: 1.172320 loss_bbox: 0.605176 loss_dfl: 0.502856 loss: 2.293556 eta: 1 day, 15:08:39 batch_cost: 1.1450 data_cost: 0.0078 ips: 34.9350 images/s
[07/27 22:37:43] ppdet.engine INFO: Epoch: [128] [220/732] learning_rate: 0.116292 loss_vfl: 1.102035 loss_bbox: 0.551583 loss_dfl: 0.463964 loss: 2.098495 eta: 1 day, 15:08:17 batch_cost: 1.1250 data_cost: 0.0083 ips: 35.5567 images/s
[07/27 22:38:09] ppdet.engine INFO: Epoch: [128] [240/732] learning_rate: 0.116263 loss_vfl: 1.130801 loss_bbox: 0.572008 loss_dfl: 0.478047 loss: 2.181299 eta: 1 day, 15:07:55 batch_cost: 1.1241 data_cost: 0.0119 ips: 35.5828 images/s
[07/27 22:38:35] ppdet.engine INFO: Epoch: [128] [260/732] learning_rate: 0.116234 loss_vfl: 1.067713 loss_bbox: 0.546359 loss_dfl: 0.449928 loss: 2.050720 eta: 1 day, 15:07:31 batch_cost: 1.0725 data_cost: 0.0094 ips: 37.2951 images/s
[07/27 22:39:03] ppdet.engine INFO: Epoch: [128] [280/732] learning_rate: 0.116204 loss_vfl: 1.159062 loss_bbox: 0.571253 loss_dfl: 0.478994 loss: 2.176297 eta: 1 day, 15:07:09 batch_cost: 1.1285 data_cost: 0.0058 ips: 35.4454 images/s
[07/27 22:39:27] ppdet.engine INFO: Epoch: [128] [300/732] learning_rate: 0.116175 loss_vfl: 1.059316 loss_bbox: 0.577983 loss_dfl: 0.467778 loss: 2.089298 eta: 1 day, 15:06:42 batch_cost: 0.9626 data_cost: 0.0037 ips: 41.5558 images/s
[07/27 22:39:53] ppdet.engine INFO: Epoch: [128] [320/732] learning_rate: 0.116146 loss_vfl: 1.069148 loss_bbox: 0.558884 loss_dfl: 0.454888 loss: 2.098853 eta: 1 day, 15:06:19 batch_cost: 1.1161 data_cost: 0.0031 ips: 35.8404 images/s
[07/27 22:40:19] ppdet.engine INFO: Epoch: [128] [340/732] learning_rate: 0.116116 loss_vfl: 1.089003 loss_bbox: 0.562958 loss_dfl: 0.463262 loss: 2.116663 eta: 1 day, 15:05:56 batch_cost: 1.0792 data_cost: 0.0229 ips: 37.0632 images/s
[07/27 22:40:47] ppdet.engine INFO: Epoch: [128] [360/732] learning_rate: 0.116087 loss_vfl: 1.099903 loss_bbox: 0.564196 loss_dfl: 0.468392 loss: 2.115344 eta: 1 day, 15:05:35 batch_cost: 1.1682 data_cost: 0.0076 ips: 34.2415 images/s
[07/27 22:41:14] ppdet.engine INFO: Epoch: [128] [380/732] learning_rate: 0.116057 loss_vfl: 1.116669 loss_bbox: 0.561733 loss_dfl: 0.459868 loss: 2.123456 eta: 1 day, 15:05:12 batch_cost: 1.0941 data_cost: 0.0066 ips: 36.5589 images/s
[07/27 22:41:40] ppdet.engine INFO: Epoch: [128] [400/732] learning_rate: 0.116028 loss_vfl: 1.155586 loss_bbox: 0.589933 loss_dfl: 0.491194 loss: 2.229492 eta: 1 day, 15:04:49 batch_cost: 1.1194 data_cost: 0.0118 ips: 35.7340 images/s
[07/27 22:42:06] ppdet.engine INFO: Epoch: [128] [420/732] learning_rate: 0.115999 loss_vfl: 1.042233 loss_bbox: 0.539389 loss_dfl: 0.449518 loss: 2.047207 eta: 1 day, 15:04:26 batch_cost: 1.0800 data_cost: 0.0059 ips: 37.0387 images/s
[07/27 22:42:32] ppdet.engine INFO: Epoch: [128] [440/732] learning_rate: 0.115969 loss_vfl: 1.104271 loss_bbox: 0.561895 loss_dfl: 0.461265 loss: 2.104345 eta: 1 day, 15:04:02 batch_cost: 1.0943 data_cost: 0.0136 ips: 36.5516 images/s
[07/27 22:42:59] ppdet.engine INFO: Epoch: [128] [460/732] learning_rate: 0.115940 loss_vfl: 1.121155 loss_bbox: 0.565571 loss_dfl: 0.470787 loss: 2.126499 eta: 1 day, 15:03:41 batch_cost: 1.1460 data_cost: 0.0042 ips: 34.9054 images/s
[07/27 22:43:26] ppdet.engine INFO: Epoch: [128] [480/732] learning_rate: 0.115911 loss_vfl: 1.174354 loss_bbox: 0.596962 loss_dfl: 0.492163 loss: 2.248404 eta: 1 day, 15:03:20 batch_cost: 1.1904 data_cost: 0.0043 ips: 33.6031 images/s
[07/27 22:43:51] ppdet.engine INFO: Epoch: [128] [500/732] learning_rate: 0.115881 loss_vfl: 1.067976 loss_bbox: 0.588223 loss_dfl: 0.483498 loss: 2.136924 eta: 1 day, 15:02:58 batch_cost: 1.1336 data_cost: 0.0017 ips: 35.2865 images/s
[07/27 22:44:19] ppdet.engine INFO: Epoch: [128] [520/732] learning_rate: 0.115852 loss_vfl: 1.085433 loss_bbox: 0.542517 loss_dfl: 0.454193 loss: 2.066604 eta: 1 day, 15:02:38 batch_cost: 1.2277 data_cost: 0.0063 ips: 32.5800 images/s
[07/27 22:44:45] ppdet.engine INFO: Epoch: [128] [540/732] learning_rate: 0.115823 loss_vfl: 1.106745 loss_bbox: 0.569902 loss_dfl: 0.466397 loss: 2.156216 eta: 1 day, 15:02:14 batch_cost: 1.0475 data_cost: 0.0099 ips: 38.1874 images/s
[07/27 22:45:12] ppdet.engine INFO: Epoch: [128] [560/732] learning_rate: 0.115793 loss_vfl: 1.108371 loss_bbox: 0.562523 loss_dfl: 0.476963 loss: 2.178282 eta: 1 day, 15:01:51 batch_cost: 1.0785 data_cost: 0.0076 ips: 37.0877 images/s
[07/27 22:45:39] ppdet.engine INFO: Epoch: [128] [580/732] learning_rate: 0.115764 loss_vfl: 1.147810 loss_bbox: 0.578542 loss_dfl: 0.482442 loss: 2.206139 eta: 1 day, 15:01:28 batch_cost: 1.0980 data_cost: 0.0063 ips: 36.4285 images/s
[07/27 22:46:05] ppdet.engine INFO: Epoch: [128] [600/732] learning_rate: 0.115735 loss_vfl: 1.125555 loss_bbox: 0.560986 loss_dfl: 0.480569 loss: 2.184930 eta: 1 day, 15:01:04 batch_cost: 1.0692 data_cost: 0.0067 ips: 37.4113 images/s
[07/27 22:46:31] ppdet.engine INFO: Epoch: [128] [620/732] learning_rate: 0.115705 loss_vfl: 1.092088 loss_bbox: 0.571125 loss_dfl: 0.467637 loss: 2.114322 eta: 1 day, 15:00:40 batch_cost: 1.0698 data_cost: 0.0166 ips: 37.3896 images/s
[07/27 22:46:59] ppdet.engine INFO: Epoch: [128] [640/732] learning_rate: 0.115676 loss_vfl: 1.140851 loss_bbox: 0.585915 loss_dfl: 0.483902 loss: 2.213483 eta: 1 day, 15:00:19 batch_cost: 1.1642 data_cost: 0.0125 ips: 34.3592 images/s
[07/27 22:47:24] ppdet.engine INFO: Epoch: [128] [660/732] learning_rate: 0.115646 loss_vfl: 1.142267 loss_bbox: 0.590320 loss_dfl: 0.484368 loss: 2.220854 eta: 1 day, 14:59:54 batch_cost: 1.0209 data_cost: 0.0083 ips: 39.1808 images/s
[07/27 22:47:50] ppdet.engine INFO: Epoch: [128] [680/732] learning_rate: 0.115617 loss_vfl: 1.131172 loss_bbox: 0.558488 loss_dfl: 0.470712 loss: 2.156194 eta: 1 day, 14:59:29 batch_cost: 1.0542 data_cost: 0.0061 ips: 37.9437 images/s
[07/27 22:48:16] ppdet.engine INFO: Epoch: [128] [700/732] learning_rate: 0.115588 loss_vfl: 1.077174 loss_bbox: 0.553348 loss_dfl: 0.461365 loss: 2.094027 eta: 1 day, 14:59:05 batch_cost: 1.0446 data_cost: 0.0047 ips: 38.2929 images/s
[07/27 22:48:43] ppdet.engine INFO: Epoch: [128] [720/732] learning_rate: 0.115558 loss_vfl: 1.043403 loss_bbox: 0.542166 loss_dfl: 0.454091 loss: 2.022069 eta: 1 day, 14:58:39 batch_cost: 1.0059 data_cost: 0.0113 ips: 39.7643 images/s
[07/27 22:49:02] ppdet.engine INFO: Epoch: [129] [  0/732] learning_rate: 0.115541 loss_vfl: 1.076596 loss_bbox: 0.536723 loss_dfl: 0.458542 loss: 2.062104 eta: 1 day, 14:58:30 batch_cost: 1.1662 data_cost: 0.4181 ips: 34.2997 images/s
[07/27 22:49:33] ppdet.engine INFO: Epoch: [129] [ 20/732] learning_rate: 0.115511 loss_vfl: 1.150867 loss_bbox: 0.585245 loss_dfl: 0.489389 loss: 2.218627 eta: 1 day, 14:58:11 batch_cost: 1.2617 data_cost: 0.0036 ips: 31.7024 images/s
[07/27 22:49:59] ppdet.engine INFO: Epoch: [129] [ 40/732] learning_rate: 0.115482 loss_vfl: 1.102541 loss_bbox: 0.574047 loss_dfl: 0.483091 loss: 2.164037 eta: 1 day, 14:57:43 batch_cost: 0.9076 data_cost: 0.0047 ips: 44.0727 images/s
[07/27 22:50:23] ppdet.engine INFO: Epoch: [129] [ 60/732] learning_rate: 0.115453 loss_vfl: 1.077916 loss_bbox: 0.573608 loss_dfl: 0.470446 loss: 2.116408 eta: 1 day, 14:57:18 batch_cost: 1.0128 data_cost: 0.0082 ips: 39.4943 images/s
[07/27 22:50:50] ppdet.engine INFO: Epoch: [129] [ 80/732] learning_rate: 0.115423 loss_vfl: 1.091630 loss_bbox: 0.569541 loss_dfl: 0.467413 loss: 2.125687 eta: 1 day, 14:56:56 batch_cost: 1.1281 data_cost: 0.0064 ips: 35.4572 images/s
[07/27 22:51:16] ppdet.engine INFO: Epoch: [129] [100/732] learning_rate: 0.115394 loss_vfl: 1.138677 loss_bbox: 0.591161 loss_dfl: 0.486766 loss: 2.243492 eta: 1 day, 14:56:32 batch_cost: 1.0666 data_cost: 0.0061 ips: 37.5032 images/s
[07/27 22:51:41] ppdet.engine INFO: Epoch: [129] [120/732] learning_rate: 0.115365 loss_vfl: 1.132724 loss_bbox: 0.560625 loss_dfl: 0.479125 loss: 2.171608 eta: 1 day, 14:56:06 batch_cost: 0.9943 data_cost: 0.0067 ips: 40.2298 images/s
[07/27 22:52:09] ppdet.engine INFO: Epoch: [129] [140/732] learning_rate: 0.115335 loss_vfl: 1.121690 loss_bbox: 0.569343 loss_dfl: 0.479346 loss: 2.154267 eta: 1 day, 14:55:45 batch_cost: 1.1881 data_cost: 0.0031 ips: 33.6677 images/s
[07/27 22:52:34] ppdet.engine INFO: Epoch: [129] [160/732] learning_rate: 0.115306 loss_vfl: 1.042105 loss_bbox: 0.555181 loss_dfl: 0.458786 loss: 2.065874 eta: 1 day, 14:55:21 batch_cost: 1.0513 data_cost: 0.0071 ips: 38.0496 images/s
[07/27 22:53:01] ppdet.engine INFO: Epoch: [129] [180/732] learning_rate: 0.115276 loss_vfl: 1.095843 loss_bbox: 0.570865 loss_dfl: 0.478366 loss: 2.138209 eta: 1 day, 14:55:00 batch_cost: 1.1774 data_cost: 0.0086 ips: 33.9742 images/s
[07/27 22:53:27] ppdet.engine INFO: Epoch: [129] [200/732] learning_rate: 0.115247 loss_vfl: 1.122070 loss_bbox: 0.564276 loss_dfl: 0.482293 loss: 2.207482 eta: 1 day, 14:54:35 batch_cost: 1.0355 data_cost: 0.0053 ips: 38.6292 images/s
[07/27 22:53:54] ppdet.engine INFO: Epoch: [129] [220/732] learning_rate: 0.115218 loss_vfl: 1.121199 loss_bbox: 0.593616 loss_dfl: 0.490450 loss: 2.220065 eta: 1 day, 14:54:13 batch_cost: 1.1252 data_cost: 0.0084 ips: 35.5496 images/s
[07/27 22:54:20] ppdet.engine INFO: Epoch: [129] [240/732] learning_rate: 0.115188 loss_vfl: 1.077351 loss_bbox: 0.566311 loss_dfl: 0.465687 loss: 2.080693 eta: 1 day, 14:53:49 batch_cost: 1.0695 data_cost: 0.0134 ips: 37.3994 images/s
[07/27 22:54:45] ppdet.engine INFO: Epoch: [129] [260/732] learning_rate: 0.115159 loss_vfl: 1.138763 loss_bbox: 0.577280 loss_dfl: 0.479952 loss: 2.209249 eta: 1 day, 14:53:24 batch_cost: 1.0214 data_cost: 0.0035 ips: 39.1610 images/s
[07/27 22:55:12] ppdet.engine INFO: Epoch: [129] [280/732] learning_rate: 0.115130 loss_vfl: 1.105489 loss_bbox: 0.565832 loss_dfl: 0.463326 loss: 2.115668 eta: 1 day, 14:53:03 batch_cost: 1.1439 data_cost: 0.0091 ips: 34.9688 images/s
[07/27 22:55:38] ppdet.engine INFO: Epoch: [129] [300/732] learning_rate: 0.115100 loss_vfl: 1.177906 loss_bbox: 0.585677 loss_dfl: 0.499790 loss: 2.285722 eta: 1 day, 14:52:38 batch_cost: 1.0513 data_cost: 0.0067 ips: 38.0497 images/s
[07/27 22:56:04] ppdet.engine INFO: Epoch: [129] [320/732] learning_rate: 0.115071 loss_vfl: 1.096792 loss_bbox: 0.563280 loss_dfl: 0.467165 loss: 2.136913 eta: 1 day, 14:52:16 batch_cost: 1.1240 data_cost: 0.0093 ips: 35.5865 images/s
[07/27 22:56:29] ppdet.engine INFO: Epoch: [129] [340/732] learning_rate: 0.115041 loss_vfl: 1.136318 loss_bbox: 0.584144 loss_dfl: 0.481653 loss: 2.193766 eta: 1 day, 14:51:51 batch_cost: 1.0190 data_cost: 0.0073 ips: 39.2540 images/s
[07/27 22:56:57] ppdet.engine INFO: Epoch: [129] [360/732] learning_rate: 0.115012 loss_vfl: 1.103995 loss_bbox: 0.565598 loss_dfl: 0.488805 loss: 2.181013 eta: 1 day, 14:51:28 batch_cost: 1.1084 data_cost: 0.0672 ips: 36.0872 images/s
[07/27 22:57:23] ppdet.engine INFO: Epoch: [129] [380/732] learning_rate: 0.114983 loss_vfl: 1.084640 loss_bbox: 0.561155 loss_dfl: 0.457763 loss: 2.125435 eta: 1 day, 14:51:05 batch_cost: 1.0859 data_cost: 0.0042 ips: 36.8345 images/s
[07/27 22:57:51] ppdet.engine INFO: Epoch: [129] [400/732] learning_rate: 0.114953 loss_vfl: 1.104586 loss_bbox: 0.591485 loss_dfl: 0.482109 loss: 2.172842 eta: 1 day, 14:50:43 batch_cost: 1.1620 data_cost: 0.0022 ips: 34.4240 images/s
[07/27 22:58:19] ppdet.engine INFO: Epoch: [129] [420/732] learning_rate: 0.114924 loss_vfl: 1.112930 loss_bbox: 0.560065 loss_dfl: 0.463014 loss: 2.105405 eta: 1 day, 14:50:23 batch_cost: 1.1873 data_cost: 0.0057 ips: 33.6892 images/s
[07/27 22:58:44] ppdet.engine INFO: Epoch: [129] [440/732] learning_rate: 0.114894 loss_vfl: 1.084891 loss_bbox: 0.545861 loss_dfl: 0.456261 loss: 2.105048 eta: 1 day, 14:49:58 batch_cost: 1.0258 data_cost: 0.0054 ips: 38.9946 images/s
[07/27 22:59:11] ppdet.engine INFO: Epoch: [129] [460/732] learning_rate: 0.114865 loss_vfl: 1.112106 loss_bbox: 0.553836 loss_dfl: 0.458028 loss: 2.107522 eta: 1 day, 14:49:35 batch_cost: 1.0865 data_cost: 0.0037 ips: 36.8143 images/s
[07/27 22:59:37] ppdet.engine INFO: Epoch: [129] [480/732] learning_rate: 0.114836 loss_vfl: 1.119098 loss_bbox: 0.567944 loss_dfl: 0.483688 loss: 2.171229 eta: 1 day, 14:49:09 batch_cost: 1.0119 data_cost: 0.0114 ips: 39.5290 images/s
[07/27 23:00:03] ppdet.engine INFO: Epoch: [129] [500/732] learning_rate: 0.114806 loss_vfl: 1.037777 loss_bbox: 0.525522 loss_dfl: 0.440082 loss: 1.996196 eta: 1 day, 14:48:47 batch_cost: 1.1179 data_cost: 0.0081 ips: 35.7828 images/s
[07/27 23:00:29] ppdet.engine INFO: Epoch: [129] [520/732] learning_rate: 0.114777 loss_vfl: 1.074336 loss_bbox: 0.562622 loss_dfl: 0.468962 loss: 2.105446 eta: 1 day, 14:48:23 batch_cost: 1.0650 data_cost: 0.0075 ips: 37.5600 images/s
[07/27 23:00:56] ppdet.engine INFO: Epoch: [129] [540/732] learning_rate: 0.114748 loss_vfl: 1.112504 loss_bbox: 0.576182 loss_dfl: 0.472236 loss: 2.162468 eta: 1 day, 14:47:59 batch_cost: 1.0582 data_cost: 0.0086 ips: 37.8013 images/s
[07/27 23:01:21] ppdet.engine INFO: Epoch: [129] [560/732] learning_rate: 0.114718 loss_vfl: 1.091985 loss_bbox: 0.567327 loss_dfl: 0.475563 loss: 2.137729 eta: 1 day, 14:47:34 batch_cost: 1.0457 data_cost: 0.0061 ips: 38.2520 images/s
[07/27 23:01:47] ppdet.engine INFO: Epoch: [129] [580/732] learning_rate: 0.114689 loss_vfl: 1.124230 loss_bbox: 0.585457 loss_dfl: 0.487340 loss: 2.217475 eta: 1 day, 14:47:10 batch_cost: 1.0251 data_cost: 0.0101 ips: 39.0211 images/s
[07/27 23:02:13] ppdet.engine INFO: Epoch: [129] [600/732] learning_rate: 0.114659 loss_vfl: 1.147023 loss_bbox: 0.579845 loss_dfl: 0.477922 loss: 2.214044 eta: 1 day, 14:46:46 batch_cost: 1.0709 data_cost: 0.0064 ips: 37.3511 images/s
[07/27 23:02:39] ppdet.engine INFO: Epoch: [129] [620/732] learning_rate: 0.114630 loss_vfl: 1.053209 loss_bbox: 0.563257 loss_dfl: 0.453258 loss: 2.075553 eta: 1 day, 14:46:22 batch_cost: 1.0741 data_cost: 0.0071 ips: 37.2422 images/s
[07/27 23:03:05] ppdet.engine INFO: Epoch: [129] [640/732] learning_rate: 0.114601 loss_vfl: 1.162355 loss_bbox: 0.588382 loss_dfl: 0.490989 loss: 2.240252 eta: 1 day, 14:45:58 batch_cost: 1.0723 data_cost: 0.0112 ips: 37.3017 images/s
[07/27 23:03:31] ppdet.engine INFO: Epoch: [129] [660/732] learning_rate: 0.114571 loss_vfl: 1.076007 loss_bbox: 0.543227 loss_dfl: 0.449873 loss: 2.079823 eta: 1 day, 14:45:34 batch_cost: 1.0356 data_cost: 0.0066 ips: 38.6242 images/s
[07/27 23:03:57] ppdet.engine INFO: Epoch: [129] [680/732] learning_rate: 0.114542 loss_vfl: 1.138633 loss_bbox: 0.579103 loss_dfl: 0.483782 loss: 2.205635 eta: 1 day, 14:45:08 batch_cost: 0.9883 data_cost: 0.0028 ips: 40.4721 images/s
[07/27 23:04:25] ppdet.engine INFO: Epoch: [129] [700/732] learning_rate: 0.114512 loss_vfl: 1.149183 loss_bbox: 0.572509 loss_dfl: 0.490441 loss: 2.214824 eta: 1 day, 14:44:48 batch_cost: 1.2074 data_cost: 0.0093 ips: 33.1286 images/s
[07/27 23:04:51] ppdet.engine INFO: Epoch: [129] [720/732] learning_rate: 0.114483 loss_vfl: 1.093435 loss_bbox: 0.575066 loss_dfl: 0.477507 loss: 2.156085 eta: 1 day, 14:44:24 batch_cost: 1.0856 data_cost: 0.0023 ips: 36.8462 images/s
[07/27 23:05:01] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 23:05:01] ppdet.engine INFO: Eval iter: 0
[07/27 23:05:23] ppdet.engine INFO: Eval iter: 100
[07/27 23:05:32] ppdet.engine INFO: Eval iter: 200
[07/27 23:05:42] ppdet.engine INFO: Eval iter: 300
[07/27 23:05:52] ppdet.engine INFO: Eval iter: 400
[07/27 23:06:01] ppdet.engine INFO: Eval iter: 500
[07/27 23:06:11] ppdet.engine INFO: Eval iter: 600
[07/27 23:06:27] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.62s)
creating index...
index created!
[07/27 23:06:28] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.80s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=102.22s).
Accumulating evaluation results...
DONE (t=18.93s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.259
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.388
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.274
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.097
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.271
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.400
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.253
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.417
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.445
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.184
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.494
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.669
[07/27 23:08:36] ppdet.engine INFO: Total sample number: 4952, averge FPS: 67.70957812663914
[07/27 23:08:36] ppdet.engine INFO: Best test bbox ap is 0.259.
[07/27 23:08:36] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/27 23:08:37] ppdet.engine INFO: Epoch: [130] [  0/732] learning_rate: 0.114465 loss_vfl: 1.124998 loss_bbox: 0.572788 loss_dfl: 0.480580 loss: 2.169444 eta: 1 day, 14:44:02 batch_cost: 0.7374 data_cost: 0.0021 ips: 54.2458 images/s
[07/27 23:09:02] ppdet.engine INFO: Epoch: [130] [ 20/732] learning_rate: 0.114436 loss_vfl: 1.106451 loss_bbox: 0.572909 loss_dfl: 0.483715 loss: 2.181585 eta: 1 day, 14:43:36 batch_cost: 0.9833 data_cost: 0.0109 ips: 40.6797 images/s
[07/27 23:09:27] ppdet.engine INFO: Epoch: [130] [ 40/732] learning_rate: 0.114407 loss_vfl: 1.098112 loss_bbox: 0.579469 loss_dfl: 0.477414 loss: 2.161293 eta: 1 day, 14:43:11 batch_cost: 1.0474 data_cost: 0.0064 ips: 38.1891 images/s
[07/27 23:09:53] ppdet.engine INFO: Epoch: [130] [ 60/732] learning_rate: 0.114377 loss_vfl: 1.151186 loss_bbox: 0.574282 loss_dfl: 0.490588 loss: 2.238422 eta: 1 day, 14:42:46 batch_cost: 1.0183 data_cost: 0.0077 ips: 39.2810 images/s
[07/27 23:10:20] ppdet.engine INFO: Epoch: [130] [ 80/732] learning_rate: 0.114348 loss_vfl: 1.086813 loss_bbox: 0.571478 loss_dfl: 0.457991 loss: 2.104103 eta: 1 day, 14:42:23 batch_cost: 1.0851 data_cost: 0.0043 ips: 36.8621 images/s
[07/27 23:10:47] ppdet.engine INFO: Epoch: [130] [100/732] learning_rate: 0.114318 loss_vfl: 1.113839 loss_bbox: 0.583067 loss_dfl: 0.480157 loss: 2.186188 eta: 1 day, 14:41:59 batch_cost: 1.0706 data_cost: 0.0104 ips: 37.3607 images/s
[07/27 23:11:12] ppdet.engine INFO: Epoch: [130] [120/732] learning_rate: 0.114289 loss_vfl: 1.107355 loss_bbox: 0.557578 loss_dfl: 0.466279 loss: 2.120281 eta: 1 day, 14:41:34 batch_cost: 0.9963 data_cost: 0.0068 ips: 40.1472 images/s
[07/27 23:11:38] ppdet.engine INFO: Epoch: [130] [140/732] learning_rate: 0.114260 loss_vfl: 1.159639 loss_bbox: 0.568215 loss_dfl: 0.477598 loss: 2.207455 eta: 1 day, 14:41:10 batch_cost: 1.0830 data_cost: 0.0360 ips: 36.9343 images/s
[07/27 23:12:04] ppdet.engine INFO: Epoch: [130] [160/732] learning_rate: 0.114230 loss_vfl: 1.129319 loss_bbox: 0.565388 loss_dfl: 0.468925 loss: 2.149019 eta: 1 day, 14:40:46 batch_cost: 1.0431 data_cost: 0.0081 ips: 38.3482 images/s
[07/27 23:12:31] ppdet.engine INFO: Epoch: [130] [180/732] learning_rate: 0.114201 loss_vfl: 1.105955 loss_bbox: 0.564250 loss_dfl: 0.471046 loss: 2.136427 eta: 1 day, 14:40:23 batch_cost: 1.1066 data_cost: 0.0099 ips: 36.1474 images/s
[07/27 23:12:57] ppdet.engine INFO: Epoch: [130] [200/732] learning_rate: 0.114171 loss_vfl: 1.086465 loss_bbox: 0.562226 loss_dfl: 0.470762 loss: 2.138412 eta: 1 day, 14:40:01 batch_cost: 1.1258 data_cost: 0.0036 ips: 35.5317 images/s
[07/27 23:13:24] ppdet.engine INFO: Epoch: [130] [220/732] learning_rate: 0.114142 loss_vfl: 1.106126 loss_bbox: 0.561642 loss_dfl: 0.466458 loss: 2.132858 eta: 1 day, 14:39:37 batch_cost: 1.0801 data_cost: 0.0107 ips: 37.0328 images/s
[07/27 23:13:50] ppdet.engine INFO: Epoch: [130] [240/732] learning_rate: 0.114113 loss_vfl: 1.110852 loss_bbox: 0.573614 loss_dfl: 0.481771 loss: 2.177451 eta: 1 day, 14:39:13 batch_cost: 1.0453 data_cost: 0.0044 ips: 38.2677 images/s
[07/27 23:14:15] ppdet.engine INFO: Epoch: [130] [260/732] learning_rate: 0.114083 loss_vfl: 1.052946 loss_bbox: 0.554269 loss_dfl: 0.458492 loss: 2.065400 eta: 1 day, 14:38:50 batch_cost: 1.0856 data_cost: 0.0052 ips: 36.8463 images/s
[07/27 23:14:41] ppdet.engine INFO: Epoch: [130] [280/732] learning_rate: 0.114054 loss_vfl: 1.044289 loss_bbox: 0.555737 loss_dfl: 0.454323 loss: 2.046146 eta: 1 day, 14:38:25 batch_cost: 1.0493 data_cost: 0.0048 ips: 38.1198 images/s
[07/27 23:15:07] ppdet.engine INFO: Epoch: [130] [300/732] learning_rate: 0.114024 loss_vfl: 1.121941 loss_bbox: 0.574706 loss_dfl: 0.479848 loss: 2.188450 eta: 1 day, 14:38:03 batch_cost: 1.1146 data_cost: 0.0030 ips: 35.8871 images/s
[07/27 23:15:35] ppdet.engine INFO: Epoch: [130] [320/732] learning_rate: 0.113995 loss_vfl: 1.041624 loss_bbox: 0.534428 loss_dfl: 0.443834 loss: 2.016243 eta: 1 day, 14:37:38 batch_cost: 1.0436 data_cost: 0.0055 ips: 38.3275 images/s
[07/27 23:15:59] ppdet.engine INFO: Epoch: [130] [340/732] learning_rate: 0.113966 loss_vfl: 1.054955 loss_bbox: 0.551020 loss_dfl: 0.458684 loss: 2.050487 eta: 1 day, 14:37:13 batch_cost: 1.0089 data_cost: 0.0094 ips: 39.6463 images/s
[07/27 23:16:26] ppdet.engine INFO: Epoch: [130] [360/732] learning_rate: 0.113936 loss_vfl: 1.098022 loss_bbox: 0.564772 loss_dfl: 0.472846 loss: 2.143645 eta: 1 day, 14:36:50 batch_cost: 1.0806 data_cost: 0.0059 ips: 37.0164 images/s
[07/27 23:16:51] ppdet.engine INFO: Epoch: [130] [380/732] learning_rate: 0.113907 loss_vfl: 1.124772 loss_bbox: 0.601396 loss_dfl: 0.486028 loss: 2.212196 eta: 1 day, 14:36:23 batch_cost: 0.9697 data_cost: 0.0082 ips: 41.2512 images/s
[07/27 23:17:15] ppdet.engine INFO: Epoch: [130] [400/732] learning_rate: 0.113877 loss_vfl: 1.132032 loss_bbox: 0.581744 loss_dfl: 0.478471 loss: 2.195065 eta: 1 day, 14:35:57 batch_cost: 0.9507 data_cost: 0.0044 ips: 42.0756 images/s
[07/27 23:17:41] ppdet.engine INFO: Epoch: [130] [420/732] learning_rate: 0.113848 loss_vfl: 1.076325 loss_bbox: 0.545889 loss_dfl: 0.457484 loss: 2.057972 eta: 1 day, 14:35:29 batch_cost: 0.9373 data_cost: 0.0059 ips: 42.6761 images/s
[07/27 23:18:10] ppdet.engine INFO: Epoch: [130] [440/732] learning_rate: 0.113819 loss_vfl: 1.086416 loss_bbox: 0.562683 loss_dfl: 0.479715 loss: 2.124964 eta: 1 day, 14:35:09 batch_cost: 1.1890 data_cost: 0.0120 ips: 33.6427 images/s
[07/27 23:18:35] ppdet.engine INFO: Epoch: [130] [460/732] learning_rate: 0.113789 loss_vfl: 1.105055 loss_bbox: 0.568501 loss_dfl: 0.470291 loss: 2.139094 eta: 1 day, 14:34:43 batch_cost: 0.9961 data_cost: 0.0092 ips: 40.1556 images/s
[07/27 23:19:02] ppdet.engine INFO: Epoch: [130] [480/732] learning_rate: 0.113760 loss_vfl: 1.031132 loss_bbox: 0.520236 loss_dfl: 0.434488 loss: 1.969090 eta: 1 day, 14:34:20 batch_cost: 1.0901 data_cost: 0.0098 ips: 36.6933 images/s
[07/27 23:19:29] ppdet.engine INFO: Epoch: [130] [500/732] learning_rate: 0.113730 loss_vfl: 1.088490 loss_bbox: 0.570999 loss_dfl: 0.466839 loss: 2.121000 eta: 1 day, 14:33:58 batch_cost: 1.1246 data_cost: 0.0031 ips: 35.5687 images/s
[07/27 23:19:57] ppdet.engine INFO: Epoch: [130] [520/732] learning_rate: 0.113701 loss_vfl: 1.141618 loss_bbox: 0.584216 loss_dfl: 0.487426 loss: 2.222804 eta: 1 day, 14:33:33 batch_cost: 1.0490 data_cost: 0.0047 ips: 38.1325 images/s
[07/27 23:20:22] ppdet.engine INFO: Epoch: [130] [540/732] learning_rate: 0.113672 loss_vfl: 1.108621 loss_bbox: 0.564324 loss_dfl: 0.467946 loss: 2.134470 eta: 1 day, 14:33:09 batch_cost: 1.0565 data_cost: 0.0085 ips: 37.8592 images/s
[07/27 23:20:47] ppdet.engine INFO: Epoch: [130] [560/732] learning_rate: 0.113642 loss_vfl: 1.103756 loss_bbox: 0.596050 loss_dfl: 0.489884 loss: 2.202680 eta: 1 day, 14:32:44 batch_cost: 0.9886 data_cost: 0.0057 ips: 40.4603 images/s
[07/27 23:21:14] ppdet.engine INFO: Epoch: [130] [580/732] learning_rate: 0.113613 loss_vfl: 1.085994 loss_bbox: 0.570242 loss_dfl: 0.464170 loss: 2.114312 eta: 1 day, 14:32:21 batch_cost: 1.1141 data_cost: 0.0088 ips: 35.9022 images/s
[07/27 23:21:41] ppdet.engine INFO: Epoch: [130] [600/732] learning_rate: 0.113583 loss_vfl: 1.105967 loss_bbox: 0.579241 loss_dfl: 0.479523 loss: 2.167556 eta: 1 day, 14:31:58 batch_cost: 1.0984 data_cost: 0.0093 ips: 36.4156 images/s
[07/27 23:22:06] ppdet.engine INFO: Epoch: [130] [620/732] learning_rate: 0.113554 loss_vfl: 1.113022 loss_bbox: 0.572095 loss_dfl: 0.476123 loss: 2.159648 eta: 1 day, 14:31:34 batch_cost: 1.0542 data_cost: 0.0091 ips: 37.9429 images/s
[07/27 23:22:33] ppdet.engine INFO: Epoch: [130] [640/732] learning_rate: 0.113525 loss_vfl: 1.160344 loss_bbox: 0.613062 loss_dfl: 0.501624 loss: 2.293310 eta: 1 day, 14:31:11 batch_cost: 1.1021 data_cost: 0.0065 ips: 36.2931 images/s
[07/27 23:22:59] ppdet.engine INFO: Epoch: [130] [660/732] learning_rate: 0.113495 loss_vfl: 1.098836 loss_bbox: 0.576587 loss_dfl: 0.478778 loss: 2.167405 eta: 1 day, 14:30:46 batch_cost: 1.0277 data_cost: 0.0050 ips: 38.9201 images/s
[07/27 23:23:26] ppdet.engine INFO: Epoch: [130] [680/732] learning_rate: 0.113466 loss_vfl: 1.112168 loss_bbox: 0.560592 loss_dfl: 0.469897 loss: 2.147975 eta: 1 day, 14:30:23 batch_cost: 1.0883 data_cost: 0.0119 ips: 36.7555 images/s
[07/27 23:23:51] ppdet.engine INFO: Epoch: [130] [700/732] learning_rate: 0.113436 loss_vfl: 1.086871 loss_bbox: 0.549666 loss_dfl: 0.459691 loss: 2.087208 eta: 1 day, 14:29:57 batch_cost: 0.9905 data_cost: 0.0077 ips: 40.3850 images/s
[07/27 23:24:17] ppdet.engine INFO: Epoch: [130] [720/732] learning_rate: 0.113407 loss_vfl: 1.088444 loss_bbox: 0.559945 loss_dfl: 0.471447 loss: 2.122111 eta: 1 day, 14:29:33 batch_cost: 1.0290 data_cost: 0.0517 ips: 38.8739 images/s
[07/27 23:24:34] ppdet.engine INFO: Epoch: [131] [  0/732] learning_rate: 0.113389 loss_vfl: 1.113825 loss_bbox: 0.579997 loss_dfl: 0.480873 loss: 2.137026 eta: 1 day, 14:29:20 batch_cost: 1.0325 data_cost: 0.3670 ips: 38.7413 images/s
[07/27 23:25:06] ppdet.engine INFO: Epoch: [131] [ 20/732] learning_rate: 0.113360 loss_vfl: 1.130878 loss_bbox: 0.587646 loss_dfl: 0.500611 loss: 2.225229 eta: 1 day, 14:29:03 batch_cost: 1.3134 data_cost: 0.1933 ips: 30.4543 images/s
[07/27 23:25:34] ppdet.engine INFO: Epoch: [131] [ 40/732] learning_rate: 0.113330 loss_vfl: 1.091507 loss_bbox: 0.576275 loss_dfl: 0.471616 loss: 2.133130 eta: 1 day, 14:28:42 batch_cost: 1.1921 data_cost: 0.0089 ips: 33.5536 images/s
[07/27 23:26:00] ppdet.engine INFO: Epoch: [131] [ 60/732] learning_rate: 0.113301 loss_vfl: 1.118099 loss_bbox: 0.591317 loss_dfl: 0.487922 loss: 2.182994 eta: 1 day, 14:28:17 batch_cost: 0.9899 data_cost: 0.0053 ips: 40.4091 images/s
[07/27 23:26:28] ppdet.engine INFO: Epoch: [131] [ 80/732] learning_rate: 0.113272 loss_vfl: 1.107497 loss_bbox: 0.566404 loss_dfl: 0.479144 loss: 2.138993 eta: 1 day, 14:27:54 batch_cost: 1.1049 data_cost: 0.0040 ips: 36.2033 images/s
[07/27 23:26:55] ppdet.engine INFO: Epoch: [131] [100/732] learning_rate: 0.113242 loss_vfl: 1.127310 loss_bbox: 0.569890 loss_dfl: 0.477927 loss: 2.175927 eta: 1 day, 14:27:32 batch_cost: 1.1471 data_cost: 0.0033 ips: 34.8695 images/s
[07/27 23:27:21] ppdet.engine INFO: Epoch: [131] [120/732] learning_rate: 0.113213 loss_vfl: 1.087720 loss_bbox: 0.564453 loss_dfl: 0.460824 loss: 2.080990 eta: 1 day, 14:27:07 batch_cost: 1.0078 data_cost: 0.0084 ips: 39.6885 images/s
[07/27 23:27:50] ppdet.engine INFO: Epoch: [131] [140/732] learning_rate: 0.113183 loss_vfl: 1.095927 loss_bbox: 0.567987 loss_dfl: 0.483147 loss: 2.141072 eta: 1 day, 14:26:47 batch_cost: 1.2182 data_cost: 0.0029 ips: 32.8349 images/s
[07/27 23:28:16] ppdet.engine INFO: Epoch: [131] [160/732] learning_rate: 0.113154 loss_vfl: 1.110740 loss_bbox: 0.569422 loss_dfl: 0.474190 loss: 2.156246 eta: 1 day, 14:26:23 batch_cost: 1.0507 data_cost: 0.0052 ips: 38.0686 images/s
[07/27 23:28:43] ppdet.engine INFO: Epoch: [131] [180/732] learning_rate: 0.113124 loss_vfl: 1.130458 loss_bbox: 0.577913 loss_dfl: 0.481840 loss: 2.181476 eta: 1 day, 14:26:00 batch_cost: 1.1085 data_cost: 0.0030 ips: 36.0847 images/s
[07/27 23:29:09] ppdet.engine INFO: Epoch: [131] [200/732] learning_rate: 0.113095 loss_vfl: 1.086989 loss_bbox: 0.560680 loss_dfl: 0.462534 loss: 2.111562 eta: 1 day, 14:25:34 batch_cost: 0.9666 data_cost: 0.0060 ips: 41.3827 images/s
[07/27 23:29:33] ppdet.engine INFO: Epoch: [131] [220/732] learning_rate: 0.113066 loss_vfl: 1.078478 loss_bbox: 0.574367 loss_dfl: 0.462139 loss: 2.106166 eta: 1 day, 14:25:08 batch_cost: 0.9894 data_cost: 0.0067 ips: 40.4288 images/s
[07/27 23:30:01] ppdet.engine INFO: Epoch: [131] [240/732] learning_rate: 0.113036 loss_vfl: 1.071126 loss_bbox: 0.546349 loss_dfl: 0.467724 loss: 2.090485 eta: 1 day, 14:24:46 batch_cost: 1.1312 data_cost: 0.0145 ips: 35.3612 images/s
[07/27 23:30:25] ppdet.engine INFO: Epoch: [131] [260/732] learning_rate: 0.113007 loss_vfl: 1.116376 loss_bbox: 0.567562 loss_dfl: 0.472717 loss: 2.149146 eta: 1 day, 14:24:20 batch_cost: 0.9976 data_cost: 0.0289 ips: 40.0955 images/s
[07/27 23:30:52] ppdet.engine INFO: Epoch: [131] [280/732] learning_rate: 0.112977 loss_vfl: 1.148385 loss_bbox: 0.566703 loss_dfl: 0.476857 loss: 2.192531 eta: 1 day, 14:23:58 batch_cost: 1.1121 data_cost: 0.0250 ips: 35.9682 images/s
[07/27 23:31:21] ppdet.engine INFO: Epoch: [131] [300/732] learning_rate: 0.112948 loss_vfl: 1.132590 loss_bbox: 0.583142 loss_dfl: 0.490987 loss: 2.215464 eta: 1 day, 14:23:38 batch_cost: 1.2160 data_cost: 0.0050 ips: 32.8957 images/s
[07/27 23:31:46] ppdet.engine INFO: Epoch: [131] [320/732] learning_rate: 0.112918 loss_vfl: 1.079419 loss_bbox: 0.548397 loss_dfl: 0.460570 loss: 2.080344 eta: 1 day, 14:23:15 batch_cost: 1.1118 data_cost: 0.0088 ips: 35.9766 images/s
[07/27 23:32:13] ppdet.engine INFO: Epoch: [131] [340/732] learning_rate: 0.112889 loss_vfl: 1.124806 loss_bbox: 0.573170 loss_dfl: 0.482626 loss: 2.183141 eta: 1 day, 14:22:51 batch_cost: 1.0673 data_cost: 0.0085 ips: 37.4761 images/s
[07/27 23:32:39] ppdet.engine INFO: Epoch: [131] [360/732] learning_rate: 0.112860 loss_vfl: 1.119615 loss_bbox: 0.572977 loss_dfl: 0.487893 loss: 2.167973 eta: 1 day, 14:22:29 batch_cost: 1.1365 data_cost: 0.0022 ips: 35.1959 images/s
[07/27 23:33:05] ppdet.engine INFO: Epoch: [131] [380/732] learning_rate: 0.112830 loss_vfl: 1.123196 loss_bbox: 0.581539 loss_dfl: 0.492868 loss: 2.199945 eta: 1 day, 14:22:06 batch_cost: 1.0902 data_cost: 0.0048 ips: 36.6904 images/s
[07/27 23:33:30] ppdet.engine INFO: Epoch: [131] [400/732] learning_rate: 0.112801 loss_vfl: 1.121566 loss_bbox: 0.582715 loss_dfl: 0.484996 loss: 2.185250 eta: 1 day, 14:21:42 batch_cost: 1.0397 data_cost: 0.0097 ips: 38.4716 images/s
[07/27 23:33:57] ppdet.engine INFO: Epoch: [131] [420/732] learning_rate: 0.112771 loss_vfl: 1.131146 loss_bbox: 0.569684 loss_dfl: 0.477582 loss: 2.205520 eta: 1 day, 14:21:20 batch_cost: 1.1340 data_cost: 0.0030 ips: 35.2732 images/s
[07/27 23:34:25] ppdet.engine INFO: Epoch: [131] [440/732] learning_rate: 0.112742 loss_vfl: 1.083341 loss_bbox: 0.577930 loss_dfl: 0.470776 loss: 2.120847 eta: 1 day, 14:20:59 batch_cost: 1.1658 data_cost: 0.0035 ips: 34.3099 images/s
[07/27 23:34:49] ppdet.engine INFO: Epoch: [131] [460/732] learning_rate: 0.112713 loss_vfl: 1.111856 loss_bbox: 0.557490 loss_dfl: 0.473769 loss: 2.163211 eta: 1 day, 14:20:34 batch_cost: 1.0336 data_cost: 0.0051 ips: 38.6992 images/s
[07/27 23:35:15] ppdet.engine INFO: Epoch: [131] [480/732] learning_rate: 0.112683 loss_vfl: 1.100847 loss_bbox: 0.579321 loss_dfl: 0.471285 loss: 2.131862 eta: 1 day, 14:20:11 batch_cost: 1.0938 data_cost: 0.0068 ips: 36.5708 images/s
[07/27 23:35:42] ppdet.engine INFO: Epoch: [131] [500/732] learning_rate: 0.112654 loss_vfl: 1.089486 loss_bbox: 0.572323 loss_dfl: 0.466576 loss: 2.108079 eta: 1 day, 14:19:48 batch_cost: 1.1176 data_cost: 0.0077 ips: 35.7918 images/s
[07/27 23:36:08] ppdet.engine INFO: Epoch: [131] [520/732] learning_rate: 0.112624 loss_vfl: 1.167830 loss_bbox: 0.604504 loss_dfl: 0.498731 loss: 2.309151 eta: 1 day, 14:19:26 batch_cost: 1.1369 data_cost: 0.0022 ips: 35.1823 images/s
[07/27 23:36:35] ppdet.engine INFO: Epoch: [131] [540/732] learning_rate: 0.112595 loss_vfl: 1.131065 loss_bbox: 0.569069 loss_dfl: 0.479344 loss: 2.175283 eta: 1 day, 14:19:05 batch_cost: 1.1431 data_cost: 0.0083 ips: 34.9911 images/s
[07/27 23:37:00] ppdet.engine INFO: Epoch: [131] [560/732] learning_rate: 0.112565 loss_vfl: 1.127963 loss_bbox: 0.582208 loss_dfl: 0.472284 loss: 2.165545 eta: 1 day, 14:18:41 batch_cost: 1.0892 data_cost: 0.0056 ips: 36.7227 images/s
[07/27 23:37:27] ppdet.engine INFO: Epoch: [131] [580/732] learning_rate: 0.112536 loss_vfl: 1.096279 loss_bbox: 0.587176 loss_dfl: 0.480950 loss: 2.183438 eta: 1 day, 14:18:20 batch_cost: 1.1583 data_cost: 0.0076 ips: 34.5348 images/s
[07/27 23:37:54] ppdet.engine INFO: Epoch: [131] [600/732] learning_rate: 0.112507 loss_vfl: 1.087975 loss_bbox: 0.555647 loss_dfl: 0.467192 loss: 2.111559 eta: 1 day, 14:17:59 batch_cost: 1.1665 data_cost: 0.0096 ips: 34.2909 images/s
[07/27 23:38:19] ppdet.engine INFO: Epoch: [131] [620/732] learning_rate: 0.112477 loss_vfl: 1.078455 loss_bbox: 0.562297 loss_dfl: 0.453345 loss: 2.094098 eta: 1 day, 14:17:34 batch_cost: 1.0201 data_cost: 0.0084 ips: 39.2109 images/s
[07/27 23:38:45] ppdet.engine INFO: Epoch: [131] [640/732] learning_rate: 0.112448 loss_vfl: 1.138103 loss_bbox: 0.593396 loss_dfl: 0.492483 loss: 2.201104 eta: 1 day, 14:17:11 batch_cost: 1.1147 data_cost: 0.0055 ips: 35.8829 images/s
[07/27 23:39:12] ppdet.engine INFO: Epoch: [131] [660/732] learning_rate: 0.112418 loss_vfl: 1.141075 loss_bbox: 0.574578 loss_dfl: 0.472712 loss: 2.184522 eta: 1 day, 14:16:48 batch_cost: 1.0921 data_cost: 0.0060 ips: 36.6280 images/s
[07/27 23:39:36] ppdet.engine INFO: Epoch: [131] [680/732] learning_rate: 0.112389 loss_vfl: 1.174335 loss_bbox: 0.576960 loss_dfl: 0.488880 loss: 2.246870 eta: 1 day, 14:16:22 batch_cost: 0.9741 data_cost: 0.0065 ips: 41.0632 images/s
[07/27 23:40:03] ppdet.engine INFO: Epoch: [131] [700/732] learning_rate: 0.112359 loss_vfl: 1.128645 loss_bbox: 0.582643 loss_dfl: 0.476872 loss: 2.170779 eta: 1 day, 14:15:59 batch_cost: 1.0969 data_cost: 0.0187 ips: 36.4659 images/s
[07/27 23:40:27] ppdet.engine INFO: Epoch: [131] [720/732] learning_rate: 0.112330 loss_vfl: 1.118318 loss_bbox: 0.558765 loss_dfl: 0.471332 loss: 2.151482 eta: 1 day, 14:15:33 batch_cost: 0.9709 data_cost: 0.0126 ips: 41.2005 images/s
[07/27 23:40:50] ppdet.engine INFO: Epoch: [132] [  0/732] learning_rate: 0.112312 loss_vfl: 1.151396 loss_bbox: 0.599101 loss_dfl: 0.495903 loss: 2.260845 eta: 1 day, 14:15:28 batch_cost: 1.4283 data_cost: 0.5140 ips: 28.0051 images/s
[07/27 23:41:19] ppdet.engine INFO: Epoch: [132] [ 20/732] learning_rate: 0.112283 loss_vfl: 1.074834 loss_bbox: 0.553614 loss_dfl: 0.462046 loss: 2.125388 eta: 1 day, 14:15:08 batch_cost: 1.1843 data_cost: 0.0037 ips: 33.7746 images/s
[07/27 23:41:46] ppdet.engine INFO: Epoch: [132] [ 40/732] learning_rate: 0.112253 loss_vfl: 1.123487 loss_bbox: 0.565571 loss_dfl: 0.470948 loss: 2.161077 eta: 1 day, 14:14:46 batch_cost: 1.1500 data_cost: 0.0060 ips: 34.7823 images/s
[07/27 23:42:13] ppdet.engine INFO: Epoch: [132] [ 60/732] learning_rate: 0.112224 loss_vfl: 1.159928 loss_bbox: 0.604714 loss_dfl: 0.492682 loss: 2.266863 eta: 1 day, 14:14:24 batch_cost: 1.1415 data_cost: 0.0073 ips: 35.0424 images/s
[07/27 23:42:40] ppdet.engine INFO: Epoch: [132] [ 80/732] learning_rate: 0.112195 loss_vfl: 1.118797 loss_bbox: 0.560953 loss_dfl: 0.472912 loss: 2.165155 eta: 1 day, 14:14:03 batch_cost: 1.1683 data_cost: 0.0094 ips: 34.2371 images/s
[07/27 23:43:07] ppdet.engine INFO: Epoch: [132] [100/732] learning_rate: 0.112165 loss_vfl: 1.119327 loss_bbox: 0.575069 loss_dfl: 0.479912 loss: 2.196723 eta: 1 day, 14:13:43 batch_cost: 1.2002 data_cost: 0.0107 ips: 33.3269 images/s
[07/27 23:43:33] ppdet.engine INFO: Epoch: [132] [120/732] learning_rate: 0.112136 loss_vfl: 1.107712 loss_bbox: 0.580703 loss_dfl: 0.477332 loss: 2.167152 eta: 1 day, 14:13:18 batch_cost: 1.0193 data_cost: 0.0062 ips: 39.2420 images/s
[07/27 23:43:59] ppdet.engine INFO: Epoch: [132] [140/732] learning_rate: 0.112106 loss_vfl: 1.137053 loss_bbox: 0.593228 loss_dfl: 0.491661 loss: 2.217016 eta: 1 day, 14:12:54 batch_cost: 1.0577 data_cost: 0.0093 ips: 37.8182 images/s
[07/27 23:44:25] ppdet.engine INFO: Epoch: [132] [160/732] learning_rate: 0.112077 loss_vfl: 1.081485 loss_bbox: 0.546160 loss_dfl: 0.457204 loss: 2.104740 eta: 1 day, 14:12:31 batch_cost: 1.1022 data_cost: 0.0032 ips: 36.2923 images/s
[07/27 23:44:51] ppdet.engine INFO: Epoch: [132] [180/732] learning_rate: 0.112047 loss_vfl: 1.100731 loss_bbox: 0.575875 loss_dfl: 0.469101 loss: 2.136868 eta: 1 day, 14:12:08 batch_cost: 1.0928 data_cost: 0.0085 ips: 36.6039 images/s
[07/27 23:45:18] ppdet.engine INFO: Epoch: [132] [200/732] learning_rate: 0.112018 loss_vfl: 1.131501 loss_bbox: 0.563287 loss_dfl: 0.469822 loss: 2.147338 eta: 1 day, 14:11:45 batch_cost: 1.0922 data_cost: 0.0043 ips: 36.6232 images/s
[07/27 23:45:45] ppdet.engine INFO: Epoch: [132] [220/732] learning_rate: 0.111988 loss_vfl: 1.113633 loss_bbox: 0.585850 loss_dfl: 0.483303 loss: 2.178541 eta: 1 day, 14:11:22 batch_cost: 1.0914 data_cost: 0.0080 ips: 36.6490 images/s
[07/27 23:46:10] ppdet.engine INFO: Epoch: [132] [240/732] learning_rate: 0.111959 loss_vfl: 1.097770 loss_bbox: 0.577456 loss_dfl: 0.473666 loss: 2.145415 eta: 1 day, 14:10:59 batch_cost: 1.1052 data_cost: 0.0047 ips: 36.1925 images/s
[07/27 23:46:40] ppdet.engine INFO: Epoch: [132] [260/732] learning_rate: 0.111930 loss_vfl: 1.114237 loss_bbox: 0.582336 loss_dfl: 0.485130 loss: 2.190424 eta: 1 day, 14:10:41 batch_cost: 1.3064 data_cost: 0.0113 ips: 30.6184 images/s
[07/27 23:47:06] ppdet.engine INFO: Epoch: [132] [280/732] learning_rate: 0.111900 loss_vfl: 1.135512 loss_bbox: 0.587557 loss_dfl: 0.487136 loss: 2.211751 eta: 1 day, 14:10:18 batch_cost: 1.1049 data_cost: 0.0066 ips: 36.2035 images/s
[07/27 23:47:30] ppdet.engine INFO: Epoch: [132] [300/732] learning_rate: 0.111871 loss_vfl: 1.066014 loss_bbox: 0.538846 loss_dfl: 0.450333 loss: 2.054469 eta: 1 day, 14:09:53 batch_cost: 1.0134 data_cost: 0.0101 ips: 39.4720 images/s
[07/27 23:47:58] ppdet.engine INFO: Epoch: [132] [320/732] learning_rate: 0.111841 loss_vfl: 1.092773 loss_bbox: 0.560770 loss_dfl: 0.470902 loss: 2.124189 eta: 1 day, 14:09:31 batch_cost: 1.1230 data_cost: 0.0054 ips: 35.6175 images/s
[07/27 23:48:22] ppdet.engine INFO: Epoch: [132] [340/732] learning_rate: 0.111812 loss_vfl: 1.095103 loss_bbox: 0.563118 loss_dfl: 0.485006 loss: 2.178521 eta: 1 day, 14:09:05 batch_cost: 0.9821 data_cost: 0.0123 ips: 40.7307 images/s
[07/27 23:48:48] ppdet.engine INFO: Epoch: [132] [360/732] learning_rate: 0.111782 loss_vfl: 1.117933 loss_bbox: 0.577286 loss_dfl: 0.478681 loss: 2.172122 eta: 1 day, 14:08:40 batch_cost: 1.0332 data_cost: 0.0066 ips: 38.7158 images/s
[07/27 23:49:19] ppdet.engine INFO: Epoch: [132] [380/732] learning_rate: 0.111753 loss_vfl: 1.134267 loss_bbox: 0.575788 loss_dfl: 0.483508 loss: 2.193530 eta: 1 day, 14:08:21 batch_cost: 1.2298 data_cost: 0.0083 ips: 32.5248 images/s
[07/27 23:49:44] ppdet.engine INFO: Epoch: [132] [400/732] learning_rate: 0.111723 loss_vfl: 1.112539 loss_bbox: 0.589727 loss_dfl: 0.485537 loss: 2.188486 eta: 1 day, 14:07:55 batch_cost: 0.9819 data_cost: 0.0059 ips: 40.7382 images/s
[07/27 23:50:09] ppdet.engine INFO: Epoch: [132] [420/732] learning_rate: 0.111694 loss_vfl: 1.123127 loss_bbox: 0.563297 loss_dfl: 0.471016 loss: 2.161699 eta: 1 day, 14:07:33 batch_cost: 1.1247 data_cost: 0.0025 ips: 35.5649 images/s
[07/27 23:50:34] ppdet.engine INFO: Epoch: [132] [440/732] learning_rate: 0.111665 loss_vfl: 1.064234 loss_bbox: 0.536248 loss_dfl: 0.449088 loss: 2.038793 eta: 1 day, 14:07:09 batch_cost: 1.0561 data_cost: 0.0038 ips: 37.8761 images/s
[07/27 23:51:01] ppdet.engine INFO: Epoch: [132] [460/732] learning_rate: 0.111635 loss_vfl: 1.111950 loss_bbox: 0.563088 loss_dfl: 0.479989 loss: 2.170129 eta: 1 day, 14:06:42 batch_cost: 0.9511 data_cost: 0.0195 ips: 42.0557 images/s
[07/27 23:51:26] ppdet.engine INFO: Epoch: [132] [480/732] learning_rate: 0.111606 loss_vfl: 1.104144 loss_bbox: 0.564518 loss_dfl: 0.476994 loss: 2.178705 eta: 1 day, 14:06:15 batch_cost: 0.9391 data_cost: 0.0197 ips: 42.5936 images/s
[07/27 23:51:55] ppdet.engine INFO: Epoch: [132] [500/732] learning_rate: 0.111576 loss_vfl: 1.095929 loss_bbox: 0.581362 loss_dfl: 0.478466 loss: 2.176839 eta: 1 day, 14:05:52 batch_cost: 1.1025 data_cost: 0.0175 ips: 36.2812 images/s
[07/27 23:52:21] ppdet.engine INFO: Epoch: [132] [520/732] learning_rate: 0.111547 loss_vfl: 1.127651 loss_bbox: 0.559815 loss_dfl: 0.474705 loss: 2.169021 eta: 1 day, 14:05:29 batch_cost: 1.1006 data_cost: 0.0020 ips: 36.3427 images/s
[07/27 23:52:50] ppdet.engine INFO: Epoch: [132] [540/732] learning_rate: 0.111517 loss_vfl: 1.104754 loss_bbox: 0.546850 loss_dfl: 0.462032 loss: 2.098301 eta: 1 day, 14:05:06 batch_cost: 1.0917 data_cost: 0.0123 ips: 36.6391 images/s
[07/27 23:53:15] ppdet.engine INFO: Epoch: [132] [560/732] learning_rate: 0.111488 loss_vfl: 1.099698 loss_bbox: 0.570277 loss_dfl: 0.464361 loss: 2.107901 eta: 1 day, 14:04:42 batch_cost: 1.0427 data_cost: 0.0031 ips: 38.3601 images/s
[07/27 23:53:41] ppdet.engine INFO: Epoch: [132] [580/732] learning_rate: 0.111458 loss_vfl: 1.088810 loss_bbox: 0.542129 loss_dfl: 0.457384 loss: 2.082299 eta: 1 day, 14:04:17 batch_cost: 1.0403 data_cost: 0.0074 ips: 38.4521 images/s
[07/27 23:54:07] ppdet.engine INFO: Epoch: [132] [600/732] learning_rate: 0.111429 loss_vfl: 1.168125 loss_bbox: 0.594894 loss_dfl: 0.492696 loss: 2.247747 eta: 1 day, 14:03:53 batch_cost: 1.0191 data_cost: 0.0293 ips: 39.2495 images/s
[07/27 23:54:32] ppdet.engine INFO: Epoch: [132] [620/732] learning_rate: 0.111400 loss_vfl: 1.062549 loss_bbox: 0.548492 loss_dfl: 0.463473 loss: 2.054310 eta: 1 day, 14:03:26 batch_cost: 0.9362 data_cost: 0.0065 ips: 42.7279 images/s
[07/27 23:54:57] ppdet.engine INFO: Epoch: [132] [640/732] learning_rate: 0.111370 loss_vfl: 1.079701 loss_bbox: 0.556877 loss_dfl: 0.462232 loss: 2.098605 eta: 1 day, 14:03:00 batch_cost: 0.9900 data_cost: 0.0100 ips: 40.4024 images/s
[07/27 23:55:23] ppdet.engine INFO: Epoch: [132] [660/732] learning_rate: 0.111341 loss_vfl: 1.142231 loss_bbox: 0.572499 loss_dfl: 0.480557 loss: 2.168092 eta: 1 day, 14:02:37 batch_cost: 1.0925 data_cost: 0.0016 ips: 36.6146 images/s
[07/27 23:55:49] ppdet.engine INFO: Epoch: [132] [680/732] learning_rate: 0.111311 loss_vfl: 1.132582 loss_bbox: 0.577608 loss_dfl: 0.483434 loss: 2.207964 eta: 1 day, 14:02:12 batch_cost: 1.0385 data_cost: 0.0097 ips: 38.5188 images/s
[07/27 23:56:16] ppdet.engine INFO: Epoch: [132] [700/732] learning_rate: 0.111282 loss_vfl: 1.087846 loss_bbox: 0.551319 loss_dfl: 0.464794 loss: 2.095506 eta: 1 day, 14:01:51 batch_cost: 1.1481 data_cost: 0.0066 ips: 34.8405 images/s
[07/27 23:56:44] ppdet.engine INFO: Epoch: [132] [720/732] learning_rate: 0.111252 loss_vfl: 1.054562 loss_bbox: 0.541013 loss_dfl: 0.447787 loss: 2.033146 eta: 1 day, 14:01:27 batch_cost: 1.0816 data_cost: 0.0030 ips: 36.9832 images/s
[07/27 23:57:07] ppdet.engine INFO: Epoch: [133] [  0/732] learning_rate: 0.111235 loss_vfl: 1.107807 loss_bbox: 0.558136 loss_dfl: 0.469953 loss: 2.139682 eta: 1 day, 14:01:23 batch_cost: 1.4530 data_cost: 0.6082 ips: 27.5284 images/s
[07/27 23:57:34] ppdet.engine INFO: Epoch: [133] [ 20/732] learning_rate: 0.111205 loss_vfl: 1.099733 loss_bbox: 0.578006 loss_dfl: 0.473903 loss: 2.139108 eta: 1 day, 14:01:00 batch_cost: 1.0995 data_cost: 0.0055 ips: 36.3805 images/s
[07/27 23:58:00] ppdet.engine INFO: Epoch: [133] [ 40/732] learning_rate: 0.111176 loss_vfl: 1.092311 loss_bbox: 0.559171 loss_dfl: 0.473585 loss: 2.112562 eta: 1 day, 14:00:33 batch_cost: 0.9498 data_cost: 0.0072 ips: 42.1155 images/s
[07/27 23:58:26] ppdet.engine INFO: Epoch: [133] [ 60/732] learning_rate: 0.111146 loss_vfl: 1.154693 loss_bbox: 0.583957 loss_dfl: 0.485946 loss: 2.240769 eta: 1 day, 14:00:10 batch_cost: 1.0629 data_cost: 0.0057 ips: 37.6323 images/s
[07/27 23:58:53] ppdet.engine INFO: Epoch: [133] [ 80/732] learning_rate: 0.111117 loss_vfl: 1.080389 loss_bbox: 0.564844 loss_dfl: 0.457975 loss: 2.104297 eta: 1 day, 13:59:47 batch_cost: 1.0954 data_cost: 0.0067 ips: 36.5155 images/s
[07/27 23:59:20] ppdet.engine INFO: Epoch: [133] [100/732] learning_rate: 0.111087 loss_vfl: 1.125566 loss_bbox: 0.581017 loss_dfl: 0.476217 loss: 2.198441 eta: 1 day, 13:59:23 batch_cost: 1.0877 data_cost: 0.0097 ips: 36.7741 images/s
[07/27 23:59:45] ppdet.engine INFO: Epoch: [133] [120/732] learning_rate: 0.111058 loss_vfl: 1.073820 loss_bbox: 0.557573 loss_dfl: 0.460175 loss: 2.087099 eta: 1 day, 13:58:59 batch_cost: 1.0304 data_cost: 0.0091 ips: 38.8210 images/s
[07/28 00:00:11] ppdet.engine INFO: Epoch: [133] [140/732] learning_rate: 0.111029 loss_vfl: 1.105454 loss_bbox: 0.573165 loss_dfl: 0.473623 loss: 2.158360 eta: 1 day, 13:58:33 batch_cost: 1.0013 data_cost: 0.0026 ips: 39.9483 images/s
[07/28 00:00:40] ppdet.engine INFO: Epoch: [133] [160/732] learning_rate: 0.110999 loss_vfl: 1.122098 loss_bbox: 0.565112 loss_dfl: 0.483749 loss: 2.160301 eta: 1 day, 13:58:13 batch_cost: 1.1912 data_cost: 0.0057 ips: 33.5784 images/s
[07/28 00:01:06] ppdet.engine INFO: Epoch: [133] [180/732] learning_rate: 0.110970 loss_vfl: 1.092401 loss_bbox: 0.552642 loss_dfl: 0.455948 loss: 2.089986 eta: 1 day, 13:57:50 batch_cost: 1.1068 data_cost: 0.0011 ips: 36.1409 images/s
[07/28 00:01:29] ppdet.engine INFO: Epoch: [133] [200/732] learning_rate: 0.110940 loss_vfl: 1.126088 loss_bbox: 0.588145 loss_dfl: 0.491570 loss: 2.206692 eta: 1 day, 13:57:24 batch_cost: 0.9725 data_cost: 0.0258 ips: 41.1290 images/s
[07/28 00:02:00] ppdet.engine INFO: Epoch: [133] [220/732] learning_rate: 0.110911 loss_vfl: 1.069720 loss_bbox: 0.545183 loss_dfl: 0.456070 loss: 2.066059 eta: 1 day, 13:57:06 batch_cost: 1.2779 data_cost: 0.0189 ips: 31.3014 images/s
[07/28 00:02:26] ppdet.engine INFO: Epoch: [133] [240/732] learning_rate: 0.110881 loss_vfl: 1.088989 loss_bbox: 0.536211 loss_dfl: 0.451110 loss: 2.064802 eta: 1 day, 13:56:42 batch_cost: 1.0565 data_cost: 0.0098 ips: 37.8604 images/s
[07/28 00:02:52] ppdet.engine INFO: Epoch: [133] [260/732] learning_rate: 0.110852 loss_vfl: 1.126949 loss_bbox: 0.594872 loss_dfl: 0.493759 loss: 2.213108 eta: 1 day, 13:56:16 batch_cost: 1.0030 data_cost: 0.0083 ips: 39.8816 images/s
[07/28 00:03:20] ppdet.engine INFO: Epoch: [133] [280/732] learning_rate: 0.110822 loss_vfl: 1.108926 loss_bbox: 0.579679 loss_dfl: 0.478349 loss: 2.163677 eta: 1 day, 13:55:54 batch_cost: 1.1305 data_cost: 0.0059 ips: 35.3827 images/s
[07/28 00:03:47] ppdet.engine INFO: Epoch: [133] [300/732] learning_rate: 0.110793 loss_vfl: 1.092853 loss_bbox: 0.551123 loss_dfl: 0.465691 loss: 2.088755 eta: 1 day, 13:55:32 batch_cost: 1.1135 data_cost: 0.0074 ips: 35.9221 images/s
[07/28 00:04:11] ppdet.engine INFO: Epoch: [133] [320/732] learning_rate: 0.110763 loss_vfl: 1.093987 loss_bbox: 0.568508 loss_dfl: 0.472834 loss: 2.109440 eta: 1 day, 13:55:07 batch_cost: 1.0220 data_cost: 0.0109 ips: 39.1406 images/s
[07/28 00:04:39] ppdet.engine INFO: Epoch: [133] [340/732] learning_rate: 0.110734 loss_vfl: 1.082812 loss_bbox: 0.549239 loss_dfl: 0.460180 loss: 2.108693 eta: 1 day, 13:54:44 batch_cost: 1.1104 data_cost: 0.0063 ips: 36.0220 images/s
[07/28 00:05:06] ppdet.engine INFO: Epoch: [133] [360/732] learning_rate: 0.110705 loss_vfl: 1.063112 loss_bbox: 0.536058 loss_dfl: 0.448433 loss: 2.027250 eta: 1 day, 13:54:19 batch_cost: 1.0185 data_cost: 0.0081 ips: 39.2729 images/s
[07/28 00:05:31] ppdet.engine INFO: Epoch: [133] [380/732] learning_rate: 0.110675 loss_vfl: 1.056555 loss_bbox: 0.567005 loss_dfl: 0.459565 loss: 2.071203 eta: 1 day, 13:53:55 batch_cost: 1.0490 data_cost: 0.0071 ips: 38.1314 images/s
[07/28 00:05:58] ppdet.engine INFO: Epoch: [133] [400/732] learning_rate: 0.110646 loss_vfl: 1.071380 loss_bbox: 0.543577 loss_dfl: 0.456548 loss: 2.066145 eta: 1 day, 13:53:30 batch_cost: 1.0232 data_cost: 0.0127 ips: 39.0922 images/s
[07/28 00:06:24] ppdet.engine INFO: Epoch: [133] [420/732] learning_rate: 0.110616 loss_vfl: 1.155919 loss_bbox: 0.584577 loss_dfl: 0.488261 loss: 2.233166 eta: 1 day, 13:53:04 batch_cost: 0.9748 data_cost: 0.0113 ips: 41.0345 images/s
[07/28 00:06:50] ppdet.engine INFO: Epoch: [133] [440/732] learning_rate: 0.110587 loss_vfl: 1.140766 loss_bbox: 0.575758 loss_dfl: 0.478472 loss: 2.189226 eta: 1 day, 13:52:39 batch_cost: 1.0139 data_cost: 0.0378 ips: 39.4534 images/s
[07/28 00:07:16] ppdet.engine INFO: Epoch: [133] [460/732] learning_rate: 0.110557 loss_vfl: 1.104845 loss_bbox: 0.562247 loss_dfl: 0.470191 loss: 2.135927 eta: 1 day, 13:52:15 batch_cost: 1.0449 data_cost: 0.0060 ips: 38.2797 images/s
[07/28 00:07:42] ppdet.engine INFO: Epoch: [133] [480/732] learning_rate: 0.110528 loss_vfl: 1.183438 loss_bbox: 0.611708 loss_dfl: 0.510234 loss: 2.303944 eta: 1 day, 13:51:51 batch_cost: 1.0463 data_cost: 0.0074 ips: 38.2303 images/s
[07/28 00:08:09] ppdet.engine INFO: Epoch: [133] [500/732] learning_rate: 0.110498 loss_vfl: 1.135940 loss_bbox: 0.611490 loss_dfl: 0.501828 loss: 2.264567 eta: 1 day, 13:51:28 batch_cost: 1.1165 data_cost: 0.0079 ips: 35.8251 images/s
[07/28 00:08:36] ppdet.engine INFO: Epoch: [133] [520/732] learning_rate: 0.110469 loss_vfl: 1.083205 loss_bbox: 0.566655 loss_dfl: 0.463641 loss: 2.116806 eta: 1 day, 13:51:06 batch_cost: 1.1196 data_cost: 0.0056 ips: 35.7264 images/s
[07/28 00:09:02] ppdet.engine INFO: Epoch: [133] [540/732] learning_rate: 0.110440 loss_vfl: 1.124259 loss_bbox: 0.560874 loss_dfl: 0.473104 loss: 2.147254 eta: 1 day, 13:50:41 batch_cost: 1.0107 data_cost: 0.0076 ips: 39.5765 images/s
[07/28 00:09:28] ppdet.engine INFO: Epoch: [133] [560/732] learning_rate: 0.110410 loss_vfl: 1.128849 loss_bbox: 0.574913 loss_dfl: 0.482971 loss: 2.183496 eta: 1 day, 13:50:16 batch_cost: 1.0127 data_cost: 0.0063 ips: 39.4994 images/s
[07/28 00:09:54] ppdet.engine INFO: Epoch: [133] [580/732] learning_rate: 0.110381 loss_vfl: 1.056534 loss_bbox: 0.559176 loss_dfl: 0.465693 loss: 2.090875 eta: 1 day, 13:49:51 batch_cost: 1.0298 data_cost: 0.0050 ips: 38.8426 images/s
[07/28 00:10:19] ppdet.engine INFO: Epoch: [133] [600/732] learning_rate: 0.110351 loss_vfl: 1.109355 loss_bbox: 0.586510 loss_dfl: 0.477977 loss: 2.174024 eta: 1 day, 13:49:26 batch_cost: 0.9925 data_cost: 0.0109 ips: 40.3015 images/s
[07/28 00:10:45] ppdet.engine INFO: Epoch: [133] [620/732] learning_rate: 0.110322 loss_vfl: 1.132068 loss_bbox: 0.588645 loss_dfl: 0.495223 loss: 2.229037 eta: 1 day, 13:49:01 batch_cost: 1.0288 data_cost: 0.0097 ips: 38.8821 images/s
[07/28 00:11:10] ppdet.engine INFO: Epoch: [133] [640/732] learning_rate: 0.110292 loss_vfl: 1.109316 loss_bbox: 0.572285 loss_dfl: 0.473366 loss: 2.137089 eta: 1 day, 13:48:37 batch_cost: 1.0593 data_cost: 0.0063 ips: 37.7622 images/s
[07/28 00:11:39] ppdet.engine INFO: Epoch: [133] [660/732] learning_rate: 0.110263 loss_vfl: 1.147346 loss_bbox: 0.611051 loss_dfl: 0.505305 loss: 2.267100 eta: 1 day, 13:48:17 batch_cost: 1.2174 data_cost: 0.0090 ips: 32.8559 images/s
[07/28 00:12:06] ppdet.engine INFO: Epoch: [133] [680/732] learning_rate: 0.110233 loss_vfl: 1.105564 loss_bbox: 0.556947 loss_dfl: 0.460412 loss: 2.121375 eta: 1 day, 13:47:55 batch_cost: 1.1107 data_cost: 0.0037 ips: 36.0140 images/s
[07/28 00:12:30] ppdet.engine INFO: Epoch: [133] [700/732] learning_rate: 0.110204 loss_vfl: 1.146413 loss_bbox: 0.570451 loss_dfl: 0.482944 loss: 2.204368 eta: 1 day, 13:47:29 batch_cost: 0.9725 data_cost: 0.0146 ips: 41.1294 images/s
[07/28 00:12:57] ppdet.engine INFO: Epoch: [133] [720/732] learning_rate: 0.110174 loss_vfl: 1.101856 loss_bbox: 0.588723 loss_dfl: 0.472508 loss: 2.145810 eta: 1 day, 13:47:03 batch_cost: 1.0019 data_cost: 0.0069 ips: 39.9243 images/s
[07/28 00:13:17] ppdet.engine INFO: Epoch: [134] [  0/732] learning_rate: 0.110157 loss_vfl: 1.112601 loss_bbox: 0.579118 loss_dfl: 0.479725 loss: 2.181059 eta: 1 day, 13:46:54 batch_cost: 1.2559 data_cost: 0.4062 ips: 31.8500 images/s
[07/28 00:13:46] ppdet.engine INFO: Epoch: [134] [ 20/732] learning_rate: 0.110127 loss_vfl: 1.083485 loss_bbox: 0.549585 loss_dfl: 0.450766 loss: 2.050808 eta: 1 day, 13:46:33 batch_cost: 1.1748 data_cost: 0.0048 ips: 34.0480 images/s
[07/28 00:14:15] ppdet.engine INFO: Epoch: [134] [ 40/732] learning_rate: 0.110098 loss_vfl: 1.028730 loss_bbox: 0.523903 loss_dfl: 0.440973 loss: 2.000801 eta: 1 day, 13:46:10 batch_cost: 1.0905 data_cost: 0.0150 ips: 36.6793 images/s
[07/28 00:14:43] ppdet.engine INFO: Epoch: [134] [ 60/732] learning_rate: 0.110068 loss_vfl: 1.052278 loss_bbox: 0.556706 loss_dfl: 0.454518 loss: 2.072849 eta: 1 day, 13:45:48 batch_cost: 1.1298 data_cost: 0.0234 ips: 35.4050 images/s
[07/28 00:15:09] ppdet.engine INFO: Epoch: [134] [ 80/732] learning_rate: 0.110039 loss_vfl: 1.077660 loss_bbox: 0.565842 loss_dfl: 0.467476 loss: 2.112545 eta: 1 day, 13:45:22 batch_cost: 0.9779 data_cost: 0.0042 ips: 40.9049 images/s
[07/28 00:15:35] ppdet.engine INFO: Epoch: [134] [100/732] learning_rate: 0.110009 loss_vfl: 1.062462 loss_bbox: 0.540878 loss_dfl: 0.454646 loss: 2.052606 eta: 1 day, 13:44:57 batch_cost: 1.0279 data_cost: 0.0052 ips: 38.9134 images/s
[07/28 00:16:01] ppdet.engine INFO: Epoch: [134] [120/732] learning_rate: 0.109980 loss_vfl: 1.125661 loss_bbox: 0.573253 loss_dfl: 0.477483 loss: 2.175873 eta: 1 day, 13:44:33 batch_cost: 1.0463 data_cost: 0.0079 ips: 38.2291 images/s
[07/28 00:16:26] ppdet.engine INFO: Epoch: [134] [140/732] learning_rate: 0.109951 loss_vfl: 1.082117 loss_bbox: 0.557997 loss_dfl: 0.462239 loss: 2.106054 eta: 1 day, 13:44:07 batch_cost: 0.9548 data_cost: 0.0065 ips: 41.8937 images/s
[07/28 00:16:53] ppdet.engine INFO: Epoch: [134] [160/732] learning_rate: 0.109921 loss_vfl: 1.134377 loss_bbox: 0.594838 loss_dfl: 0.490624 loss: 2.251199 eta: 1 day, 13:43:41 batch_cost: 0.9956 data_cost: 0.0098 ips: 40.1763 images/s
[07/28 00:17:19] ppdet.engine INFO: Epoch: [134] [180/732] learning_rate: 0.109892 loss_vfl: 1.166098 loss_bbox: 0.594539 loss_dfl: 0.495690 loss: 2.238317 eta: 1 day, 13:43:17 batch_cost: 1.0584 data_cost: 0.0113 ips: 37.7940 images/s
[07/28 00:17:45] ppdet.engine INFO: Epoch: [134] [200/732] learning_rate: 0.109862 loss_vfl: 1.138431 loss_bbox: 0.565453 loss_dfl: 0.479657 loss: 2.175256 eta: 1 day, 13:42:53 batch_cost: 1.0385 data_cost: 0.0126 ips: 38.5174 images/s
[07/28 00:18:10] ppdet.engine INFO: Epoch: [134] [220/732] learning_rate: 0.109833 loss_vfl: 1.113636 loss_bbox: 0.542389 loss_dfl: 0.467144 loss: 2.113562 eta: 1 day, 13:42:28 batch_cost: 1.0166 data_cost: 0.0186 ips: 39.3454 images/s
[07/28 00:18:37] ppdet.engine INFO: Epoch: [134] [240/732] learning_rate: 0.109803 loss_vfl: 1.073010 loss_bbox: 0.570448 loss_dfl: 0.469868 loss: 2.107655 eta: 1 day, 13:42:06 batch_cost: 1.1328 data_cost: 0.0054 ips: 35.3117 images/s
[07/28 00:19:02] ppdet.engine INFO: Epoch: [134] [260/732] learning_rate: 0.109774 loss_vfl: 1.084542 loss_bbox: 0.559698 loss_dfl: 0.470249 loss: 2.129464 eta: 1 day, 13:41:40 batch_cost: 0.9681 data_cost: 0.0036 ips: 41.3201 images/s
[07/28 00:19:27] ppdet.engine INFO: Epoch: [134] [280/732] learning_rate: 0.109744 loss_vfl: 1.171234 loss_bbox: 0.579863 loss_dfl: 0.481641 loss: 2.231147 eta: 1 day, 13:41:16 batch_cost: 1.0636 data_cost: 0.0069 ips: 37.6084 images/s
[07/28 00:19:55] ppdet.engine INFO: Epoch: [134] [300/732] learning_rate: 0.109715 loss_vfl: 1.123675 loss_bbox: 0.562285 loss_dfl: 0.469054 loss: 2.152060 eta: 1 day, 13:40:55 batch_cost: 1.1541 data_cost: 0.0044 ips: 34.6585 images/s
[07/28 00:20:20] ppdet.engine INFO: Epoch: [134] [320/732] learning_rate: 0.109685 loss_vfl: 1.153028 loss_bbox: 0.593937 loss_dfl: 0.488761 loss: 2.209384 eta: 1 day, 13:40:28 batch_cost: 0.9424 data_cost: 0.0055 ips: 42.4440 images/s
[07/28 00:20:46] ppdet.engine INFO: Epoch: [134] [340/732] learning_rate: 0.109656 loss_vfl: 1.108129 loss_bbox: 0.545611 loss_dfl: 0.456233 loss: 2.106788 eta: 1 day, 13:40:05 batch_cost: 1.1034 data_cost: 0.0050 ips: 36.2508 images/s
[07/28 00:21:13] ppdet.engine INFO: Epoch: [134] [360/732] learning_rate: 0.109626 loss_vfl: 1.066740 loss_bbox: 0.554276 loss_dfl: 0.453238 loss: 2.066729 eta: 1 day, 13:39:40 batch_cost: 1.0162 data_cost: 0.0145 ips: 39.3624 images/s
[07/28 00:21:38] ppdet.engine INFO: Epoch: [134] [380/732] learning_rate: 0.109597 loss_vfl: 1.107860 loss_bbox: 0.548042 loss_dfl: 0.471431 loss: 2.144183 eta: 1 day, 13:39:14 batch_cost: 0.9478 data_cost: 0.0067 ips: 42.2031 images/s
[07/28 00:22:03] ppdet.engine INFO: Epoch: [134] [400/732] learning_rate: 0.109568 loss_vfl: 1.120447 loss_bbox: 0.579284 loss_dfl: 0.467399 loss: 2.152270 eta: 1 day, 13:38:49 batch_cost: 1.0203 data_cost: 0.0053 ips: 39.2025 images/s
[07/28 00:22:29] ppdet.engine INFO: Epoch: [134] [420/732] learning_rate: 0.109538 loss_vfl: 1.123808 loss_bbox: 0.572156 loss_dfl: 0.463801 loss: 2.166570 eta: 1 day, 13:38:24 batch_cost: 1.0048 data_cost: 0.0087 ips: 39.8099 images/s
[07/28 00:22:56] ppdet.engine INFO: Epoch: [134] [440/732] learning_rate: 0.109509 loss_vfl: 1.081701 loss_bbox: 0.546142 loss_dfl: 0.456798 loss: 2.077809 eta: 1 day, 13:38:01 batch_cost: 1.0948 data_cost: 0.0028 ips: 36.5365 images/s
[07/28 00:23:21] ppdet.engine INFO: Epoch: [134] [460/732] learning_rate: 0.109479 loss_vfl: 1.087981 loss_bbox: 0.579269 loss_dfl: 0.469302 loss: 2.133835 eta: 1 day, 13:37:34 batch_cost: 0.9581 data_cost: 0.0019 ips: 41.7500 images/s
[07/28 00:23:47] ppdet.engine INFO: Epoch: [134] [480/732] learning_rate: 0.109450 loss_vfl: 1.143321 loss_bbox: 0.578935 loss_dfl: 0.481718 loss: 2.210612 eta: 1 day, 13:37:10 batch_cost: 1.0541 data_cost: 0.0055 ips: 37.9478 images/s
[07/28 00:24:13] ppdet.engine INFO: Epoch: [134] [500/732] learning_rate: 0.109420 loss_vfl: 1.102056 loss_bbox: 0.581120 loss_dfl: 0.477382 loss: 2.147442 eta: 1 day, 13:36:47 batch_cost: 1.0878 data_cost: 0.0059 ips: 36.7702 images/s
[07/28 00:24:39] ppdet.engine INFO: Epoch: [134] [520/732] learning_rate: 0.109391 loss_vfl: 1.113216 loss_bbox: 0.567809 loss_dfl: 0.480077 loss: 2.156761 eta: 1 day, 13:36:24 batch_cost: 1.0672 data_cost: 0.0197 ips: 37.4823 images/s
[07/28 00:25:05] ppdet.engine INFO: Epoch: [134] [540/732] learning_rate: 0.109361 loss_vfl: 1.102015 loss_bbox: 0.569487 loss_dfl: 0.471273 loss: 2.164674 eta: 1 day, 13:35:58 batch_cost: 0.9732 data_cost: 0.0103 ips: 41.1019 images/s
[07/28 00:25:34] ppdet.engine INFO: Epoch: [134] [560/732] learning_rate: 0.109332 loss_vfl: 1.170631 loss_bbox: 0.588653 loss_dfl: 0.511433 loss: 2.298063 eta: 1 day, 13:35:38 batch_cost: 1.2376 data_cost: 0.0057 ips: 32.3203 images/s
[07/28 00:26:00] ppdet.engine INFO: Epoch: [134] [580/732] learning_rate: 0.109302 loss_vfl: 1.088975 loss_bbox: 0.561510 loss_dfl: 0.472249 loss: 2.152617 eta: 1 day, 13:35:14 batch_cost: 1.0594 data_cost: 0.0077 ips: 37.7571 images/s
[07/28 00:26:27] ppdet.engine INFO: Epoch: [134] [600/732] learning_rate: 0.109273 loss_vfl: 1.103282 loss_bbox: 0.566074 loss_dfl: 0.471577 loss: 2.139015 eta: 1 day, 13:34:52 batch_cost: 1.1071 data_cost: 0.0116 ips: 36.1316 images/s
[07/28 00:26:54] ppdet.engine INFO: Epoch: [134] [620/732] learning_rate: 0.109243 loss_vfl: 1.078417 loss_bbox: 0.559166 loss_dfl: 0.473006 loss: 2.119555 eta: 1 day, 13:34:30 batch_cost: 1.1466 data_cost: 0.0032 ips: 34.8846 images/s
[07/28 00:27:20] ppdet.engine INFO: Epoch: [134] [640/732] learning_rate: 0.109214 loss_vfl: 1.121714 loss_bbox: 0.551721 loss_dfl: 0.474221 loss: 2.142049 eta: 1 day, 13:34:06 batch_cost: 1.0492 data_cost: 0.0104 ips: 38.1242 images/s
[07/28 00:27:46] ppdet.engine INFO: Epoch: [134] [660/732] learning_rate: 0.109185 loss_vfl: 1.179782 loss_bbox: 0.589296 loss_dfl: 0.486001 loss: 2.242629 eta: 1 day, 13:33:42 batch_cost: 1.0709 data_cost: 0.0100 ips: 37.3530 images/s
[07/28 00:28:15] ppdet.engine INFO: Epoch: [134] [680/732] learning_rate: 0.109155 loss_vfl: 1.110468 loss_bbox: 0.573830 loss_dfl: 0.480616 loss: 2.158154 eta: 1 day, 13:33:20 batch_cost: 1.1224 data_cost: 0.0086 ips: 35.6371 images/s
[07/28 00:28:41] ppdet.engine INFO: Epoch: [134] [700/732] learning_rate: 0.109126 loss_vfl: 1.096210 loss_bbox: 0.567971 loss_dfl: 0.470771 loss: 2.128762 eta: 1 day, 13:32:56 batch_cost: 1.0458 data_cost: 0.0073 ips: 38.2470 images/s
[07/28 00:29:08] ppdet.engine INFO: Epoch: [134] [720/732] learning_rate: 0.109096 loss_vfl: 1.049228 loss_bbox: 0.544761 loss_dfl: 0.455157 loss: 2.053586 eta: 1 day, 13:32:34 batch_cost: 1.1248 data_cost: 0.0027 ips: 35.5625 images/s
[07/28 00:29:26] ppdet.engine INFO: Epoch: [135] [  0/732] learning_rate: 0.109078 loss_vfl: 1.093871 loss_bbox: 0.576496 loss_dfl: 0.476455 loss: 2.142362 eta: 1 day, 13:32:23 batch_cost: 1.2049 data_cost: 0.3964 ips: 33.1969 images/s
[07/28 00:29:58] ppdet.engine INFO: Epoch: [135] [ 20/732] learning_rate: 0.109049 loss_vfl: 1.113245 loss_bbox: 0.569374 loss_dfl: 0.476209 loss: 2.161461 eta: 1 day, 13:32:05 batch_cost: 1.3230 data_cost: 0.0898 ips: 30.2353 images/s
[07/28 00:30:26] ppdet.engine INFO: Epoch: [135] [ 40/732] learning_rate: 0.109020 loss_vfl: 1.074708 loss_bbox: 0.558117 loss_dfl: 0.473081 loss: 2.103803 eta: 1 day, 13:31:42 batch_cost: 1.0732 data_cost: 0.0088 ips: 37.2722 images/s
[07/28 00:30:51] ppdet.engine INFO: Epoch: [135] [ 60/732] learning_rate: 0.108990 loss_vfl: 1.123704 loss_bbox: 0.585090 loss_dfl: 0.480342 loss: 2.178040 eta: 1 day, 13:31:17 batch_cost: 1.0120 data_cost: 0.0072 ips: 39.5262 images/s
[07/28 00:31:20] ppdet.engine INFO: Epoch: [135] [ 80/732] learning_rate: 0.108961 loss_vfl: 1.073319 loss_bbox: 0.550877 loss_dfl: 0.455261 loss: 2.099200 eta: 1 day, 13:30:55 batch_cost: 1.1543 data_cost: 0.0055 ips: 34.6519 images/s
[07/28 00:31:47] ppdet.engine INFO: Epoch: [135] [100/732] learning_rate: 0.108931 loss_vfl: 1.118733 loss_bbox: 0.568281 loss_dfl: 0.483452 loss: 2.185050 eta: 1 day, 13:30:30 batch_cost: 1.0203 data_cost: 0.0025 ips: 39.2051 images/s
[07/28 00:32:12] ppdet.engine INFO: Epoch: [135] [120/732] learning_rate: 0.108902 loss_vfl: 1.097018 loss_bbox: 0.569813 loss_dfl: 0.469305 loss: 2.152492 eta: 1 day, 13:30:05 batch_cost: 0.9903 data_cost: 0.0178 ips: 40.3902 images/s
[07/28 00:32:38] ppdet.engine INFO: Epoch: [135] [140/732] learning_rate: 0.108872 loss_vfl: 1.092255 loss_bbox: 0.550915 loss_dfl: 0.466827 loss: 2.110483 eta: 1 day, 13:29:40 batch_cost: 1.0073 data_cost: 0.0105 ips: 39.7114 images/s
[07/28 00:33:07] ppdet.engine INFO: Epoch: [135] [160/732] learning_rate: 0.108843 loss_vfl: 1.100695 loss_bbox: 0.542478 loss_dfl: 0.465223 loss: 2.105986 eta: 1 day, 13:29:19 batch_cost: 1.1811 data_cost: 0.0139 ips: 33.8674 images/s
[07/28 00:33:33] ppdet.engine INFO: Epoch: [135] [180/732] learning_rate: 0.108813 loss_vfl: 1.105261 loss_bbox: 0.555214 loss_dfl: 0.467628 loss: 2.109594 eta: 1 day, 13:28:52 batch_cost: 0.9432 data_cost: 0.0124 ips: 42.4096 images/s
[07/28 00:33:59] ppdet.engine INFO: Epoch: [135] [200/732] learning_rate: 0.108784 loss_vfl: 1.123140 loss_bbox: 0.574549 loss_dfl: 0.479339 loss: 2.193019 eta: 1 day, 13:28:28 batch_cost: 1.0455 data_cost: 0.0031 ips: 38.2585 images/s
[07/28 00:34:26] ppdet.engine INFO: Epoch: [135] [220/732] learning_rate: 0.108754 loss_vfl: 1.123342 loss_bbox: 0.576083 loss_dfl: 0.485665 loss: 2.178257 eta: 1 day, 13:28:05 batch_cost: 1.0759 data_cost: 0.0061 ips: 37.1778 images/s
[07/28 00:34:52] ppdet.engine INFO: Epoch: [135] [240/732] learning_rate: 0.108725 loss_vfl: 1.124796 loss_bbox: 0.569538 loss_dfl: 0.471552 loss: 2.155125 eta: 1 day, 13:27:39 batch_cost: 1.0003 data_cost: 0.0030 ips: 39.9874 images/s
[07/28 00:35:19] ppdet.engine INFO: Epoch: [135] [260/732] learning_rate: 0.108695 loss_vfl: 1.073722 loss_bbox: 0.551371 loss_dfl: 0.461166 loss: 2.081289 eta: 1 day, 13:27:16 batch_cost: 1.0747 data_cost: 0.0047 ips: 37.2199 images/s
[07/28 00:35:46] ppdet.engine INFO: Epoch: [135] [280/732] learning_rate: 0.108666 loss_vfl: 1.121881 loss_bbox: 0.596737 loss_dfl: 0.489226 loss: 2.162106 eta: 1 day, 13:26:54 batch_cost: 1.1313 data_cost: 0.0044 ips: 35.3570 images/s
[07/28 00:36:09] ppdet.engine INFO: Epoch: [135] [300/732] learning_rate: 0.108636 loss_vfl: 1.078151 loss_bbox: 0.550657 loss_dfl: 0.451792 loss: 2.072931 eta: 1 day, 13:26:25 batch_cost: 0.8569 data_cost: 0.0062 ips: 46.6780 images/s
[07/28 00:36:38] ppdet.engine INFO: Epoch: [135] [320/732] learning_rate: 0.108607 loss_vfl: 1.066773 loss_bbox: 0.554434 loss_dfl: 0.468002 loss: 2.099857 eta: 1 day, 13:26:04 batch_cost: 1.1707 data_cost: 0.0063 ips: 34.1689 images/s
[07/28 00:37:04] ppdet.engine INFO: Epoch: [135] [340/732] learning_rate: 0.108578 loss_vfl: 1.128691 loss_bbox: 0.586954 loss_dfl: 0.489031 loss: 2.189603 eta: 1 day, 13:25:40 batch_cost: 1.0507 data_cost: 0.0030 ips: 38.0711 images/s
[07/28 00:37:30] ppdet.engine INFO: Epoch: [135] [360/732] learning_rate: 0.108548 loss_vfl: 1.116448 loss_bbox: 0.568301 loss_dfl: 0.474958 loss: 2.179012 eta: 1 day, 13:25:19 batch_cost: 1.1614 data_cost: 0.0069 ips: 34.4414 images/s
[07/28 00:37:58] ppdet.engine INFO: Epoch: [135] [380/732] learning_rate: 0.108519 loss_vfl: 1.095574 loss_bbox: 0.580236 loss_dfl: 0.464767 loss: 2.122978 eta: 1 day, 13:24:58 batch_cost: 1.1782 data_cost: 0.0057 ips: 33.9500 images/s
[07/28 00:38:23] ppdet.engine INFO: Epoch: [135] [400/732] learning_rate: 0.108489 loss_vfl: 1.137000 loss_bbox: 0.592463 loss_dfl: 0.483871 loss: 2.206844 eta: 1 day, 13:24:36 batch_cost: 1.1244 data_cost: 0.0075 ips: 35.5753 images/s
[07/28 00:38:49] ppdet.engine INFO: Epoch: [135] [420/732] learning_rate: 0.108460 loss_vfl: 1.059498 loss_bbox: 0.543072 loss_dfl: 0.453391 loss: 2.060604 eta: 1 day, 13:24:10 batch_cost: 1.0011 data_cost: 0.0033 ips: 39.9577 images/s
[07/28 00:39:16] ppdet.engine INFO: Epoch: [135] [440/732] learning_rate: 0.108430 loss_vfl: 1.096241 loss_bbox: 0.571724 loss_dfl: 0.473557 loss: 2.152594 eta: 1 day, 13:23:45 batch_cost: 0.9835 data_cost: 0.0081 ips: 40.6694 images/s
[07/28 00:39:41] ppdet.engine INFO: Epoch: [135] [460/732] learning_rate: 0.108401 loss_vfl: 1.121230 loss_bbox: 0.602601 loss_dfl: 0.483569 loss: 2.208642 eta: 1 day, 13:23:21 batch_cost: 1.0526 data_cost: 0.1456 ips: 38.0013 images/s
[07/28 00:40:07] ppdet.engine INFO: Epoch: [135] [480/732] learning_rate: 0.108371 loss_vfl: 1.098838 loss_bbox: 0.570285 loss_dfl: 0.469910 loss: 2.140414 eta: 1 day, 13:22:57 batch_cost: 1.0683 data_cost: 0.0799 ips: 37.4444 images/s
[07/28 00:40:34] ppdet.engine INFO: Epoch: [135] [500/732] learning_rate: 0.108342 loss_vfl: 1.098160 loss_bbox: 0.540788 loss_dfl: 0.460831 loss: 2.099530 eta: 1 day, 13:22:33 batch_cost: 1.0359 data_cost: 0.0072 ips: 38.6153 images/s
[07/28 00:41:01] ppdet.engine INFO: Epoch: [135] [520/732] learning_rate: 0.108312 loss_vfl: 1.112576 loss_bbox: 0.574757 loss_dfl: 0.473194 loss: 2.171227 eta: 1 day, 13:22:10 batch_cost: 1.0887 data_cost: 0.0111 ips: 36.7400 images/s
[07/28 00:41:27] ppdet.engine INFO: Epoch: [135] [540/732] learning_rate: 0.108283 loss_vfl: 1.138226 loss_bbox: 0.570272 loss_dfl: 0.473833 loss: 2.175678 eta: 1 day, 13:21:47 batch_cost: 1.1008 data_cost: 0.0078 ips: 36.3360 images/s
[07/28 00:41:53] ppdet.engine INFO: Epoch: [135] [560/732] learning_rate: 0.108253 loss_vfl: 1.098748 loss_bbox: 0.577496 loss_dfl: 0.473028 loss: 2.161437 eta: 1 day, 13:21:24 batch_cost: 1.1010 data_cost: 0.0087 ips: 36.3298 images/s
[07/28 00:42:18] ppdet.engine INFO: Epoch: [135] [580/732] learning_rate: 0.108224 loss_vfl: 1.090748 loss_bbox: 0.572894 loss_dfl: 0.480300 loss: 2.170330 eta: 1 day, 13:20:59 batch_cost: 0.9992 data_cost: 0.0126 ips: 40.0301 images/s
[07/28 00:42:43] ppdet.engine INFO: Epoch: [135] [600/732] learning_rate: 0.108194 loss_vfl: 1.086190 loss_bbox: 0.522549 loss_dfl: 0.457672 loss: 2.075241 eta: 1 day, 13:20:33 batch_cost: 1.0002 data_cost: 0.0073 ips: 39.9904 images/s
[07/28 00:43:10] ppdet.engine INFO: Epoch: [135] [620/732] learning_rate: 0.108165 loss_vfl: 1.102760 loss_bbox: 0.547763 loss_dfl: 0.471920 loss: 2.116616 eta: 1 day, 13:20:13 batch_cost: 1.1758 data_cost: 0.0064 ips: 34.0188 images/s
[07/28 00:43:35] ppdet.engine INFO: Epoch: [135] [640/732] learning_rate: 0.108136 loss_vfl: 1.071901 loss_bbox: 0.547837 loss_dfl: 0.457323 loss: 2.062935 eta: 1 day, 13:19:49 batch_cost: 1.0725 data_cost: 0.0042 ips: 37.2958 images/s
[07/28 00:44:00] ppdet.engine INFO: Epoch: [135] [660/732] learning_rate: 0.108106 loss_vfl: 1.120194 loss_bbox: 0.576142 loss_dfl: 0.480138 loss: 2.192690 eta: 1 day, 13:19:24 batch_cost: 1.0264 data_cost: 0.0064 ips: 38.9720 images/s
[07/28 00:44:26] ppdet.engine INFO: Epoch: [135] [680/732] learning_rate: 0.108077 loss_vfl: 1.124314 loss_bbox: 0.558491 loss_dfl: 0.478899 loss: 2.170514 eta: 1 day, 13:19:01 batch_cost: 1.0757 data_cost: 0.0064 ips: 37.1864 images/s
[07/28 00:44:52] ppdet.engine INFO: Epoch: [135] [700/732] learning_rate: 0.108047 loss_vfl: 1.094584 loss_bbox: 0.561517 loss_dfl: 0.462607 loss: 2.114170 eta: 1 day, 13:18:36 batch_cost: 1.0035 data_cost: 0.0073 ips: 39.8620 images/s
[07/28 00:45:19] ppdet.engine INFO: Epoch: [135] [720/732] learning_rate: 0.108018 loss_vfl: 1.126426 loss_bbox: 0.557656 loss_dfl: 0.473713 loss: 2.166082 eta: 1 day, 13:18:13 batch_cost: 1.1016 data_cost: 0.0063 ips: 36.3115 images/s
[07/28 00:45:39] ppdet.engine INFO: Epoch: [136] [  0/732] learning_rate: 0.108000 loss_vfl: 1.086600 loss_bbox: 0.549688 loss_dfl: 0.466889 loss: 2.128023 eta: 1 day, 13:18:05 batch_cost: 1.2820 data_cost: 0.4701 ips: 31.2007 images/s
[07/28 00:46:09] ppdet.engine INFO: Epoch: [136] [ 20/732] learning_rate: 0.107971 loss_vfl: 1.139521 loss_bbox: 0.586681 loss_dfl: 0.480394 loss: 2.192514 eta: 1 day, 13:17:44 batch_cost: 1.2053 data_cost: 0.0015 ips: 33.1861 images/s
[07/28 00:46:35] ppdet.engine INFO: Epoch: [136] [ 40/732] learning_rate: 0.107941 loss_vfl: 1.121954 loss_bbox: 0.585144 loss_dfl: 0.481421 loss: 2.210124 eta: 1 day, 13:17:21 batch_cost: 1.0834 data_cost: 0.0519 ips: 36.9207 images/s
[07/28 00:47:03] ppdet.engine INFO: Epoch: [136] [ 60/732] learning_rate: 0.107912 loss_vfl: 1.133404 loss_bbox: 0.570625 loss_dfl: 0.491055 loss: 2.200910 eta: 1 day, 13:17:00 batch_cost: 1.1497 data_cost: 0.0083 ips: 34.7908 images/s
[07/28 00:47:30] ppdet.engine INFO: Epoch: [136] [ 80/732] learning_rate: 0.107882 loss_vfl: 1.140536 loss_bbox: 0.588158 loss_dfl: 0.483321 loss: 2.205015 eta: 1 day, 13:16:35 batch_cost: 1.0440 data_cost: 0.0075 ips: 38.3141 images/s
[07/28 00:47:57] ppdet.engine INFO: Epoch: [136] [100/732] learning_rate: 0.107853 loss_vfl: 1.087055 loss_bbox: 0.556204 loss_dfl: 0.464164 loss: 2.119144 eta: 1 day, 13:16:13 batch_cost: 1.1046 data_cost: 0.0062 ips: 36.2110 images/s
[07/28 00:48:23] ppdet.engine INFO: Epoch: [136] [120/732] learning_rate: 0.107823 loss_vfl: 1.066644 loss_bbox: 0.564549 loss_dfl: 0.462827 loss: 2.067977 eta: 1 day, 13:15:49 batch_cost: 1.0770 data_cost: 0.0174 ips: 37.1387 images/s
[07/28 00:48:50] ppdet.engine INFO: Epoch: [136] [140/732] learning_rate: 0.107794 loss_vfl: 1.058224 loss_bbox: 0.554044 loss_dfl: 0.460485 loss: 2.071491 eta: 1 day, 13:15:26 batch_cost: 1.0806 data_cost: 0.0107 ips: 37.0158 images/s
[07/28 00:49:17] ppdet.engine INFO: Epoch: [136] [160/732] learning_rate: 0.107764 loss_vfl: 1.073445 loss_bbox: 0.560485 loss_dfl: 0.460474 loss: 2.100858 eta: 1 day, 13:15:03 batch_cost: 1.1011 data_cost: 0.0026 ips: 36.3262 images/s
[07/28 00:49:44] ppdet.engine INFO: Epoch: [136] [180/732] learning_rate: 0.107735 loss_vfl: 1.148852 loss_bbox: 0.590872 loss_dfl: 0.499868 loss: 2.245228 eta: 1 day, 13:14:39 batch_cost: 1.0373 data_cost: 0.0071 ips: 38.5613 images/s
[07/28 00:50:11] ppdet.engine INFO: Epoch: [136] [200/732] learning_rate: 0.107705 loss_vfl: 1.095277 loss_bbox: 0.576747 loss_dfl: 0.477117 loss: 2.121503 eta: 1 day, 13:14:16 batch_cost: 1.0769 data_cost: 0.0048 ips: 37.1428 images/s
[07/28 00:50:35] ppdet.engine INFO: Epoch: [136] [220/732] learning_rate: 0.107676 loss_vfl: 1.104304 loss_bbox: 0.562011 loss_dfl: 0.469865 loss: 2.137602 eta: 1 day, 13:13:49 batch_cost: 0.9390 data_cost: 0.0082 ips: 42.5996 images/s
[07/28 00:51:01] ppdet.engine INFO: Epoch: [136] [240/732] learning_rate: 0.107646 loss_vfl: 1.138283 loss_bbox: 0.579987 loss_dfl: 0.479481 loss: 2.227687 eta: 1 day, 13:13:23 batch_cost: 0.9909 data_cost: 0.0031 ips: 40.3654 images/s
[07/28 00:51:29] ppdet.engine INFO: Epoch: [136] [260/732] learning_rate: 0.107617 loss_vfl: 1.116823 loss_bbox: 0.570324 loss_dfl: 0.480938 loss: 2.193180 eta: 1 day, 13:12:59 batch_cost: 1.0403 data_cost: 0.0054 ips: 38.4515 images/s
[07/28 00:51:55] ppdet.engine INFO: Epoch: [136] [280/732] learning_rate: 0.107587 loss_vfl: 1.078512 loss_bbox: 0.557469 loss_dfl: 0.470141 loss: 2.107500 eta: 1 day, 13:12:36 batch_cost: 1.0903 data_cost: 0.0053 ips: 36.6882 images/s
[07/28 00:52:21] ppdet.engine INFO: Epoch: [136] [300/732] learning_rate: 0.107558 loss_vfl: 1.087841 loss_bbox: 0.580601 loss_dfl: 0.475143 loss: 2.132904 eta: 1 day, 13:12:13 batch_cost: 1.0893 data_cost: 0.0038 ips: 36.7218 images/s
[07/28 00:52:47] ppdet.engine INFO: Epoch: [136] [320/732] learning_rate: 0.107529 loss_vfl: 1.128174 loss_bbox: 0.566106 loss_dfl: 0.479341 loss: 2.198853 eta: 1 day, 13:11:48 batch_cost: 1.0180 data_cost: 0.0047 ips: 39.2944 images/s
[07/28 00:53:14] ppdet.engine INFO: Epoch: [136] [340/732] learning_rate: 0.107499 loss_vfl: 1.078413 loss_bbox: 0.533528 loss_dfl: 0.453402 loss: 2.065207 eta: 1 day, 13:11:23 batch_cost: 1.0160 data_cost: 0.0038 ips: 39.3702 images/s
[07/28 00:53:41] ppdet.engine INFO: Epoch: [136] [360/732] learning_rate: 0.107470 loss_vfl: 1.060539 loss_bbox: 0.520613 loss_dfl: 0.438455 loss: 2.019606 eta: 1 day, 13:11:02 batch_cost: 1.1513 data_cost: 0.0053 ips: 34.7427 images/s
[07/28 00:54:07] ppdet.engine INFO: Epoch: [136] [380/732] learning_rate: 0.107440 loss_vfl: 1.141187 loss_bbox: 0.578381 loss_dfl: 0.483831 loss: 2.194943 eta: 1 day, 13:10:38 batch_cost: 1.0411 data_cost: 0.0025 ips: 38.4223 images/s
[07/28 00:54:33] ppdet.engine INFO: Epoch: [136] [400/732] learning_rate: 0.107411 loss_vfl: 1.107651 loss_bbox: 0.572279 loss_dfl: 0.471248 loss: 2.141819 eta: 1 day, 13:10:13 batch_cost: 1.0091 data_cost: 0.0067 ips: 39.6387 images/s
[07/28 00:55:00] ppdet.engine INFO: Epoch: [136] [420/732] learning_rate: 0.107381 loss_vfl: 1.126601 loss_bbox: 0.590864 loss_dfl: 0.484329 loss: 2.193073 eta: 1 day, 13:09:50 batch_cost: 1.0852 data_cost: 0.0062 ips: 36.8584 images/s
[07/28 00:55:26] ppdet.engine INFO: Epoch: [136] [440/732] learning_rate: 0.107352 loss_vfl: 1.103840 loss_bbox: 0.554449 loss_dfl: 0.461791 loss: 2.111425 eta: 1 day, 13:09:25 batch_cost: 1.0335 data_cost: 0.0022 ips: 38.7050 images/s
[07/28 00:55:50] ppdet.engine INFO: Epoch: [136] [460/732] learning_rate: 0.107322 loss_vfl: 1.122394 loss_bbox: 0.561731 loss_dfl: 0.467999 loss: 2.160825 eta: 1 day, 13:08:58 batch_cost: 0.9284 data_cost: 0.0048 ips: 43.0838 images/s
[07/28 00:56:20] ppdet.engine INFO: Epoch: [136] [480/732] learning_rate: 0.107293 loss_vfl: 1.116676 loss_bbox: 0.565467 loss_dfl: 0.470382 loss: 2.160276 eta: 1 day, 13:08:40 batch_cost: 1.2890 data_cost: 0.0098 ips: 31.0319 images/s
[07/28 00:56:48] ppdet.engine INFO: Epoch: [136] [500/732] learning_rate: 0.107263 loss_vfl: 1.105415 loss_bbox: 0.562654 loss_dfl: 0.469422 loss: 2.143732 eta: 1 day, 13:08:19 batch_cost: 1.1735 data_cost: 0.0085 ips: 34.0851 images/s
[07/28 00:57:14] ppdet.engine INFO: Epoch: [136] [520/732] learning_rate: 0.107234 loss_vfl: 1.113316 loss_bbox: 0.566242 loss_dfl: 0.471601 loss: 2.139223 eta: 1 day, 13:07:56 batch_cost: 1.0791 data_cost: 0.0068 ips: 37.0687 images/s
[07/28 00:57:41] ppdet.engine INFO: Epoch: [136] [540/732] learning_rate: 0.107204 loss_vfl: 1.098748 loss_bbox: 0.568834 loss_dfl: 0.471728 loss: 2.139176 eta: 1 day, 13:07:30 batch_cost: 0.9992 data_cost: 0.0055 ips: 40.0331 images/s
[07/28 00:58:05] ppdet.engine INFO: Epoch: [136] [560/732] learning_rate: 0.107175 loss_vfl: 1.082210 loss_bbox: 0.542583 loss_dfl: 0.451346 loss: 2.077799 eta: 1 day, 13:07:03 batch_cost: 0.8974 data_cost: 0.0149 ips: 44.5740 images/s
[07/28 00:58:33] ppdet.engine INFO: Epoch: [136] [580/732] learning_rate: 0.107145 loss_vfl: 1.152026 loss_bbox: 0.571288 loss_dfl: 0.490067 loss: 2.200238 eta: 1 day, 13:06:40 batch_cost: 1.1189 data_cost: 0.0062 ips: 35.7484 images/s
[07/28 00:58:59] ppdet.engine INFO: Epoch: [136] [600/732] learning_rate: 0.107116 loss_vfl: 1.088092 loss_bbox: 0.551924 loss_dfl: 0.464692 loss: 2.151145 eta: 1 day, 13:06:15 batch_cost: 0.9990 data_cost: 0.0096 ips: 40.0400 images/s
[07/28 00:59:26] ppdet.engine INFO: Epoch: [136] [620/732] learning_rate: 0.107087 loss_vfl: 1.076005 loss_bbox: 0.568760 loss_dfl: 0.473348 loss: 2.118565 eta: 1 day, 13:05:54 batch_cost: 1.1590 data_cost: 0.0043 ips: 34.5135 images/s
[07/28 00:59:52] ppdet.engine INFO: Epoch: [136] [640/732] learning_rate: 0.107057 loss_vfl: 1.204255 loss_bbox: 0.626269 loss_dfl: 0.521324 loss: 2.368094 eta: 1 day, 13:05:30 batch_cost: 1.0601 data_cost: 0.0071 ips: 37.7329 images/s
[07/28 01:00:17] ppdet.engine INFO: Epoch: [136] [660/732] learning_rate: 0.107028 loss_vfl: 1.130600 loss_bbox: 0.587439 loss_dfl: 0.489143 loss: 2.209259 eta: 1 day, 13:05:07 batch_cost: 1.0783 data_cost: 0.0086 ips: 37.0960 images/s
[07/28 01:00:42] ppdet.engine INFO: Epoch: [136] [680/732] learning_rate: 0.106998 loss_vfl: 1.035721 loss_bbox: 0.546130 loss_dfl: 0.446433 loss: 2.027405 eta: 1 day, 13:04:42 batch_cost: 1.0334 data_cost: 0.0076 ips: 38.7072 images/s
[07/28 01:01:10] ppdet.engine INFO: Epoch: [136] [700/732] learning_rate: 0.106969 loss_vfl: 1.080456 loss_bbox: 0.571603 loss_dfl: 0.472949 loss: 2.118341 eta: 1 day, 13:04:20 batch_cost: 1.1007 data_cost: 0.0106 ips: 36.3399 images/s
[07/28 01:01:35] ppdet.engine INFO: Epoch: [136] [720/732] learning_rate: 0.106939 loss_vfl: 1.083788 loss_bbox: 0.555497 loss_dfl: 0.465186 loss: 2.091835 eta: 1 day, 13:03:53 batch_cost: 0.9436 data_cost: 0.0095 ips: 42.3912 images/s
[07/28 01:01:58] ppdet.engine INFO: Epoch: [137] [  0/732] learning_rate: 0.106922 loss_vfl: 1.095804 loss_bbox: 0.559433 loss_dfl: 0.473937 loss: 2.139365 eta: 1 day, 13:03:47 batch_cost: 1.3367 data_cost: 0.4137 ips: 29.9255 images/s
[07/28 01:02:24] ppdet.engine INFO: Epoch: [137] [ 20/732] learning_rate: 0.106892 loss_vfl: 1.108428 loss_bbox: 0.559118 loss_dfl: 0.468994 loss: 2.140149 eta: 1 day, 13:03:23 batch_cost: 1.0566 data_cost: 0.0085 ips: 37.8565 images/s
[07/28 01:02:51] ppdet.engine INFO: Epoch: [137] [ 40/732] learning_rate: 0.106863 loss_vfl: 1.099703 loss_bbox: 0.564354 loss_dfl: 0.475064 loss: 2.126160 eta: 1 day, 13:03:00 batch_cost: 1.0951 data_cost: 0.0030 ips: 36.5251 images/s
[07/28 01:03:18] ppdet.engine INFO: Epoch: [137] [ 60/732] learning_rate: 0.106833 loss_vfl: 1.080960 loss_bbox: 0.573785 loss_dfl: 0.480947 loss: 2.149436 eta: 1 day, 13:02:37 batch_cost: 1.0635 data_cost: 0.0125 ips: 37.6124 images/s
[07/28 01:03:45] ppdet.engine INFO: Epoch: [137] [ 80/732] learning_rate: 0.106804 loss_vfl: 1.130353 loss_bbox: 0.567287 loss_dfl: 0.471309 loss: 2.158614 eta: 1 day, 13:02:13 batch_cost: 1.0618 data_cost: 0.0034 ips: 37.6725 images/s
[07/28 01:04:11] ppdet.engine INFO: Epoch: [137] [100/732] learning_rate: 0.106774 loss_vfl: 1.118455 loss_bbox: 0.577383 loss_dfl: 0.473557 loss: 2.148161 eta: 1 day, 13:01:50 batch_cost: 1.0807 data_cost: 0.0024 ips: 37.0138 images/s
[07/28 01:04:37] ppdet.engine INFO: Epoch: [137] [120/732] learning_rate: 0.106745 loss_vfl: 1.081021 loss_bbox: 0.568387 loss_dfl: 0.469283 loss: 2.113142 eta: 1 day, 13:01:25 batch_cost: 1.0131 data_cost: 0.0025 ips: 39.4837 images/s
[07/28 01:05:04] ppdet.engine INFO: Epoch: [137] [140/732] learning_rate: 0.106715 loss_vfl: 1.158916 loss_bbox: 0.586074 loss_dfl: 0.492124 loss: 2.243295 eta: 1 day, 13:01:03 batch_cost: 1.1397 data_cost: 0.0069 ips: 35.0972 images/s
[07/28 01:05:30] ppdet.engine INFO: Epoch: [137] [160/732] learning_rate: 0.106686 loss_vfl: 1.091818 loss_bbox: 0.573140 loss_dfl: 0.472185 loss: 2.139031 eta: 1 day, 13:00:38 batch_cost: 1.0113 data_cost: 0.0073 ips: 39.5532 images/s
[07/28 01:05:57] ppdet.engine INFO: Epoch: [137] [180/732] learning_rate: 0.106656 loss_vfl: 1.039323 loss_bbox: 0.543771 loss_dfl: 0.452762 loss: 2.005486 eta: 1 day, 13:00:13 batch_cost: 1.0164 data_cost: 0.0067 ips: 39.3543 images/s
[07/28 01:06:24] ppdet.engine INFO: Epoch: [137] [200/732] learning_rate: 0.106627 loss_vfl: 1.138703 loss_bbox: 0.579384 loss_dfl: 0.476432 loss: 2.198479 eta: 1 day, 12:59:51 batch_cost: 1.1229 data_cost: 0.0171 ips: 35.6234 images/s
[07/28 01:06:51] ppdet.engine INFO: Epoch: [137] [220/732] learning_rate: 0.106597 loss_vfl: 1.166904 loss_bbox: 0.580245 loss_dfl: 0.484105 loss: 2.258062 eta: 1 day, 12:59:27 batch_cost: 1.0715 data_cost: 0.0062 ips: 37.3313 images/s
[07/28 01:07:18] ppdet.engine INFO: Epoch: [137] [240/732] learning_rate: 0.106568 loss_vfl: 1.115956 loss_bbox: 0.570555 loss_dfl: 0.482092 loss: 2.194683 eta: 1 day, 12:59:05 batch_cost: 1.0952 data_cost: 0.0026 ips: 36.5245 images/s
[07/28 01:07:43] ppdet.engine INFO: Epoch: [137] [260/732] learning_rate: 0.106539 loss_vfl: 1.112869 loss_bbox: 0.583532 loss_dfl: 0.482514 loss: 2.190460 eta: 1 day, 12:58:39 batch_cost: 0.9943 data_cost: 0.0070 ips: 40.2311 images/s
[07/28 01:08:10] ppdet.engine INFO: Epoch: [137] [280/732] learning_rate: 0.106509 loss_vfl: 1.118083 loss_bbox: 0.582354 loss_dfl: 0.480394 loss: 2.182817 eta: 1 day, 12:58:16 batch_cost: 1.0980 data_cost: 0.0088 ips: 36.4305 images/s
[07/28 01:08:36] ppdet.engine INFO: Epoch: [137] [300/732] learning_rate: 0.106480 loss_vfl: 1.179127 loss_bbox: 0.613761 loss_dfl: 0.500202 loss: 2.307183 eta: 1 day, 12:57:54 batch_cost: 1.1001 data_cost: 0.0060 ips: 36.3613 images/s
[07/28 01:09:03] ppdet.engine INFO: Epoch: [137] [320/732] learning_rate: 0.106450 loss_vfl: 1.096691 loss_bbox: 0.577148 loss_dfl: 0.474665 loss: 2.134143 eta: 1 day, 12:57:30 batch_cost: 1.0448 data_cost: 0.0034 ips: 38.2851 images/s
[07/28 01:09:29] ppdet.engine INFO: Epoch: [137] [340/732] learning_rate: 0.106421 loss_vfl: 1.108629 loss_bbox: 0.573321 loss_dfl: 0.484765 loss: 2.182204 eta: 1 day, 12:57:08 batch_cost: 1.1364 data_cost: 0.0086 ips: 35.1979 images/s
[07/28 01:09:55] ppdet.engine INFO: Epoch: [137] [360/732] learning_rate: 0.106391 loss_vfl: 1.124125 loss_bbox: 0.593534 loss_dfl: 0.495522 loss: 2.208645 eta: 1 day, 12:56:44 batch_cost: 1.0444 data_cost: 0.0046 ips: 38.2981 images/s
[07/28 01:10:21] ppdet.engine INFO: Epoch: [137] [380/732] learning_rate: 0.106362 loss_vfl: 1.124166 loss_bbox: 0.560948 loss_dfl: 0.471380 loss: 2.129106 eta: 1 day, 12:56:22 batch_cost: 1.1360 data_cost: 0.0054 ips: 35.2105 images/s
[07/28 01:10:47] ppdet.engine INFO: Epoch: [137] [400/732] learning_rate: 0.106332 loss_vfl: 1.131668 loss_bbox: 0.573452 loss_dfl: 0.475190 loss: 2.172887 eta: 1 day, 12:55:58 batch_cost: 1.0514 data_cost: 0.0209 ips: 38.0447 images/s
[07/28 01:11:15] ppdet.engine INFO: Epoch: [137] [420/732] learning_rate: 0.106303 loss_vfl: 1.122477 loss_bbox: 0.573449 loss_dfl: 0.476790 loss: 2.175313 eta: 1 day, 12:55:35 batch_cost: 1.0897 data_cost: 0.0055 ips: 36.7087 images/s
[07/28 01:11:42] ppdet.engine INFO: Epoch: [137] [440/732] learning_rate: 0.106273 loss_vfl: 1.081531 loss_bbox: 0.536147 loss_dfl: 0.456049 loss: 2.075429 eta: 1 day, 12:55:11 batch_cost: 1.0546 data_cost: 0.0061 ips: 37.9306 images/s
[07/28 01:12:07] ppdet.engine INFO: Epoch: [137] [460/732] learning_rate: 0.106244 loss_vfl: 1.134916 loss_bbox: 0.579007 loss_dfl: 0.481868 loss: 2.202217 eta: 1 day, 12:54:46 batch_cost: 1.0116 data_cost: 0.0047 ips: 39.5429 images/s
[07/28 01:12:34] ppdet.engine INFO: Epoch: [137] [480/732] learning_rate: 0.106214 loss_vfl: 1.084617 loss_bbox: 0.561692 loss_dfl: 0.465118 loss: 2.095687 eta: 1 day, 12:54:22 batch_cost: 1.0422 data_cost: 0.0055 ips: 38.3795 images/s
[07/28 01:12:58] ppdet.engine INFO: Epoch: [137] [500/732] learning_rate: 0.106185 loss_vfl: 1.108267 loss_bbox: 0.559916 loss_dfl: 0.475725 loss: 2.165111 eta: 1 day, 12:53:56 batch_cost: 0.9657 data_cost: 0.0034 ips: 41.4226 images/s
[07/28 01:13:26] ppdet.engine INFO: Epoch: [137] [520/732] learning_rate: 0.106156 loss_vfl: 1.120912 loss_bbox: 0.577916 loss_dfl: 0.467911 loss: 2.137694 eta: 1 day, 12:53:34 batch_cost: 1.1257 data_cost: 0.0083 ips: 35.5324 images/s
[07/28 01:13:51] ppdet.engine INFO: Epoch: [137] [540/732] learning_rate: 0.106126 loss_vfl: 1.097436 loss_bbox: 0.560035 loss_dfl: 0.473228 loss: 2.148567 eta: 1 day, 12:53:08 batch_cost: 0.9726 data_cost: 0.0099 ips: 41.1260 images/s
[07/28 01:14:17] ppdet.engine INFO: Epoch: [137] [560/732] learning_rate: 0.106097 loss_vfl: 1.080460 loss_bbox: 0.569169 loss_dfl: 0.462250 loss: 2.116265 eta: 1 day, 12:52:43 batch_cost: 1.0141 data_cost: 0.0063 ips: 39.4439 images/s
[07/28 01:14:42] ppdet.engine INFO: Epoch: [137] [580/732] learning_rate: 0.106067 loss_vfl: 1.144113 loss_bbox: 0.578893 loss_dfl: 0.485679 loss: 2.219413 eta: 1 day, 12:52:18 batch_cost: 1.0177 data_cost: 0.0067 ips: 39.3055 images/s
[07/28 01:15:08] ppdet.engine INFO: Epoch: [137] [600/732] learning_rate: 0.106038 loss_vfl: 1.119367 loss_bbox: 0.546114 loss_dfl: 0.466793 loss: 2.132205 eta: 1 day, 12:51:55 batch_cost: 1.0591 data_cost: 0.0075 ips: 37.7691 images/s
[07/28 01:15:35] ppdet.engine INFO: Epoch: [137] [620/732] learning_rate: 0.106008 loss_vfl: 1.109940 loss_bbox: 0.557624 loss_dfl: 0.473924 loss: 2.143992 eta: 1 day, 12:51:32 batch_cost: 1.1227 data_cost: 0.0069 ips: 35.6294 images/s
[07/28 01:16:03] ppdet.engine INFO: Epoch: [137] [640/732] learning_rate: 0.105979 loss_vfl: 1.108414 loss_bbox: 0.567796 loss_dfl: 0.476863 loss: 2.149256 eta: 1 day, 12:51:09 batch_cost: 1.0985 data_cost: 0.0051 ips: 36.4120 images/s
[07/28 01:16:28] ppdet.engine INFO: Epoch: [137] [660/732] learning_rate: 0.105949 loss_vfl: 1.119830 loss_bbox: 0.592658 loss_dfl: 0.483685 loss: 2.222657 eta: 1 day, 12:50:46 batch_cost: 1.0825 data_cost: 0.0095 ips: 36.9522 images/s
[07/28 01:16:53] ppdet.engine INFO: Epoch: [137] [680/732] learning_rate: 0.105920 loss_vfl: 1.106690 loss_bbox: 0.559187 loss_dfl: 0.479554 loss: 2.163385 eta: 1 day, 12:50:22 batch_cost: 1.0245 data_cost: 0.0052 ips: 39.0415 images/s
[07/28 01:17:19] ppdet.engine INFO: Epoch: [137] [700/732] learning_rate: 0.105890 loss_vfl: 1.061532 loss_bbox: 0.557287 loss_dfl: 0.463355 loss: 2.078086 eta: 1 day, 12:49:58 batch_cost: 1.0677 data_cost: 0.0074 ips: 37.4647 images/s
[07/28 01:17:46] ppdet.engine INFO: Epoch: [137] [720/732] learning_rate: 0.105861 loss_vfl: 1.068798 loss_bbox: 0.532869 loss_dfl: 0.449432 loss: 2.030708 eta: 1 day, 12:49:35 batch_cost: 1.0611 data_cost: 0.0090 ips: 37.6970 images/s
[07/28 01:18:08] ppdet.engine INFO: Epoch: [138] [  0/732] learning_rate: 0.105843 loss_vfl: 1.171561 loss_bbox: 0.583851 loss_dfl: 0.492163 loss: 2.271864 eta: 1 day, 12:49:27 batch_cost: 1.3986 data_cost: 0.3386 ips: 28.5992 images/s
[07/28 01:18:37] ppdet.engine INFO: Epoch: [138] [ 20/732] learning_rate: 0.105814 loss_vfl: 1.090812 loss_bbox: 0.566437 loss_dfl: 0.463870 loss: 2.128401 eta: 1 day, 12:49:07 batch_cost: 1.1999 data_cost: 0.0099 ips: 33.3358 images/s
[07/28 01:19:02] ppdet.engine INFO: Epoch: [138] [ 40/732] learning_rate: 0.105784 loss_vfl: 1.140388 loss_bbox: 0.554829 loss_dfl: 0.475496 loss: 2.178976 eta: 1 day, 12:48:43 batch_cost: 1.0671 data_cost: 0.0037 ips: 37.4832 images/s
[07/28 01:19:30] ppdet.engine INFO: Epoch: [138] [ 60/732] learning_rate: 0.105755 loss_vfl: 1.077000 loss_bbox: 0.555252 loss_dfl: 0.462057 loss: 2.092178 eta: 1 day, 12:48:21 batch_cost: 1.1070 data_cost: 0.0086 ips: 36.1324 images/s
[07/28 01:19:57] ppdet.engine INFO: Epoch: [138] [ 80/732] learning_rate: 0.105725 loss_vfl: 1.175504 loss_bbox: 0.584561 loss_dfl: 0.494002 loss: 2.247132 eta: 1 day, 12:47:58 batch_cost: 1.0907 data_cost: 0.0031 ips: 36.6729 images/s
[07/28 01:20:24] ppdet.engine INFO: Epoch: [138] [100/732] learning_rate: 0.105696 loss_vfl: 1.125930 loss_bbox: 0.569659 loss_dfl: 0.471351 loss: 2.170586 eta: 1 day, 12:47:34 batch_cost: 1.0388 data_cost: 0.0025 ips: 38.5057 images/s
[07/28 01:20:49] ppdet.engine INFO: Epoch: [138] [120/732] learning_rate: 0.105667 loss_vfl: 1.152634 loss_bbox: 0.595527 loss_dfl: 0.496181 loss: 2.256633 eta: 1 day, 12:47:10 batch_cost: 1.0552 data_cost: 0.0048 ips: 37.9083 images/s
[07/28 01:21:16] ppdet.engine INFO: Epoch: [138] [140/732] learning_rate: 0.105637 loss_vfl: 1.079144 loss_bbox: 0.532467 loss_dfl: 0.448385 loss: 2.071775 eta: 1 day, 12:46:46 batch_cost: 1.0545 data_cost: 0.0081 ips: 37.9335 images/s
[07/28 01:21:43] ppdet.engine INFO: Epoch: [138] [160/732] learning_rate: 0.105608 loss_vfl: 1.115294 loss_bbox: 0.601192 loss_dfl: 0.486324 loss: 2.193632 eta: 1 day, 12:46:23 batch_cost: 1.0727 data_cost: 0.0097 ips: 37.2891 images/s
[07/28 01:22:10] ppdet.engine INFO: Epoch: [138] [180/732] learning_rate: 0.105578 loss_vfl: 1.156459 loss_bbox: 0.603689 loss_dfl: 0.495645 loss: 2.260519 eta: 1 day, 12:45:59 batch_cost: 1.0793 data_cost: 0.0060 ips: 37.0617 images/s
[07/28 01:22:37] ppdet.engine INFO: Epoch: [138] [200/732] learning_rate: 0.105549 loss_vfl: 1.178333 loss_bbox: 0.606284 loss_dfl: 0.499300 loss: 2.284560 eta: 1 day, 12:45:36 batch_cost: 1.1003 data_cost: 0.0073 ips: 36.3546 images/s
[07/28 01:23:02] ppdet.engine INFO: Epoch: [138] [220/732] learning_rate: 0.105519 loss_vfl: 1.083368 loss_bbox: 0.561831 loss_dfl: 0.476034 loss: 2.126523 eta: 1 day, 12:45:12 batch_cost: 1.0427 data_cost: 0.0115 ips: 38.3635 images/s
[07/28 01:23:26] ppdet.engine INFO: Epoch: [138] [240/732] learning_rate: 0.105490 loss_vfl: 1.122473 loss_bbox: 0.555459 loss_dfl: 0.463099 loss: 2.141498 eta: 1 day, 12:44:46 batch_cost: 0.9382 data_cost: 0.0056 ips: 42.6338 images/s
[07/28 01:23:55] ppdet.engine INFO: Epoch: [138] [260/732] learning_rate: 0.105460 loss_vfl: 1.116971 loss_bbox: 0.588123 loss_dfl: 0.479896 loss: 2.198770 eta: 1 day, 12:44:25 batch_cost: 1.1983 data_cost: 0.0059 ips: 33.3817 images/s
[07/28 01:24:20] ppdet.engine INFO: Epoch: [138] [280/732] learning_rate: 0.105431 loss_vfl: 1.109154 loss_bbox: 0.570346 loss_dfl: 0.467389 loss: 2.157318 eta: 1 day, 12:44:02 batch_cost: 1.0902 data_cost: 0.0034 ips: 36.6919 images/s
[07/28 01:24:48] ppdet.engine INFO: Epoch: [138] [300/732] learning_rate: 0.105401 loss_vfl: 1.093825 loss_bbox: 0.563141 loss_dfl: 0.465125 loss: 2.126763 eta: 1 day, 12:43:42 batch_cost: 1.2082 data_cost: 0.0031 ips: 33.1058 images/s
[07/28 01:25:16] ppdet.engine INFO: Epoch: [138] [320/732] learning_rate: 0.105372 loss_vfl: 1.165265 loss_bbox: 0.576991 loss_dfl: 0.496440 loss: 2.239667 eta: 1 day, 12:43:21 batch_cost: 1.1782 data_cost: 0.0062 ips: 33.9487 images/s
[07/28 01:25:43] ppdet.engine INFO: Epoch: [138] [340/732] learning_rate: 0.105343 loss_vfl: 1.120880 loss_bbox: 0.569948 loss_dfl: 0.473965 loss: 2.146539 eta: 1 day, 12:43:00 batch_cost: 1.1707 data_cost: 0.0034 ips: 34.1678 images/s
[07/28 01:26:10] ppdet.engine INFO: Epoch: [138] [360/732] learning_rate: 0.105313 loss_vfl: 1.086606 loss_bbox: 0.542501 loss_dfl: 0.458066 loss: 2.064146 eta: 1 day, 12:42:39 batch_cost: 1.1682 data_cost: 0.0075 ips: 34.2401 images/s
[07/28 01:26:35] ppdet.engine INFO: Epoch: [138] [380/732] learning_rate: 0.105284 loss_vfl: 1.085460 loss_bbox: 0.563490 loss_dfl: 0.468638 loss: 2.129164 eta: 1 day, 12:42:15 batch_cost: 1.0658 data_cost: 0.0071 ips: 37.5320 images/s
[07/28 01:27:04] ppdet.engine INFO: Epoch: [138] [400/732] learning_rate: 0.105254 loss_vfl: 1.156014 loss_bbox: 0.608164 loss_dfl: 0.494044 loss: 2.239476 eta: 1 day, 12:41:56 batch_cost: 1.2348 data_cost: 0.0093 ips: 32.3930 images/s
[07/28 01:27:32] ppdet.engine INFO: Epoch: [138] [420/732] learning_rate: 0.105225 loss_vfl: 1.118984 loss_bbox: 0.573346 loss_dfl: 0.475182 loss: 2.152564 eta: 1 day, 12:41:34 batch_cost: 1.1529 data_cost: 0.0091 ips: 34.6960 images/s
[07/28 01:27:57] ppdet.engine INFO: Epoch: [138] [440/732] learning_rate: 0.105195 loss_vfl: 1.102662 loss_bbox: 0.565453 loss_dfl: 0.477447 loss: 2.156000 eta: 1 day, 12:41:09 batch_cost: 1.0107 data_cost: 0.0063 ips: 39.5772 images/s
[07/28 01:28:24] ppdet.engine INFO: Epoch: [138] [460/732] learning_rate: 0.105166 loss_vfl: 1.111120 loss_bbox: 0.562636 loss_dfl: 0.466531 loss: 2.125157 eta: 1 day, 12:40:46 batch_cost: 1.0979 data_cost: 0.0072 ips: 36.4331 images/s
[07/28 01:28:49] ppdet.engine INFO: Epoch: [138] [480/732] learning_rate: 0.105136 loss_vfl: 1.161117 loss_bbox: 0.561772 loss_dfl: 0.480157 loss: 2.190270 eta: 1 day, 12:40:22 batch_cost: 1.0299 data_cost: 0.0064 ips: 38.8396 images/s
[07/28 01:29:16] ppdet.engine INFO: Epoch: [138] [500/732] learning_rate: 0.105107 loss_vfl: 1.073979 loss_bbox: 0.567337 loss_dfl: 0.460465 loss: 2.088071 eta: 1 day, 12:40:00 batch_cost: 1.1145 data_cost: 0.0051 ips: 35.8910 images/s
[07/28 01:29:43] ppdet.engine INFO: Epoch: [138] [520/732] learning_rate: 0.105077 loss_vfl: 1.089354 loss_bbox: 0.543619 loss_dfl: 0.456419 loss: 2.091270 eta: 1 day, 12:39:36 batch_cost: 1.0619 data_cost: 0.0084 ips: 37.6677 images/s
[07/28 01:30:10] ppdet.engine INFO: Epoch: [138] [540/732] learning_rate: 0.105048 loss_vfl: 1.158494 loss_bbox: 0.578531 loss_dfl: 0.477044 loss: 2.196179 eta: 1 day, 12:39:14 batch_cost: 1.1432 data_cost: 0.0076 ips: 34.9883 images/s
[07/28 01:30:35] ppdet.engine INFO: Epoch: [138] [560/732] learning_rate: 0.105019 loss_vfl: 1.077219 loss_bbox: 0.546465 loss_dfl: 0.456955 loss: 2.106733 eta: 1 day, 12:38:51 batch_cost: 1.0751 data_cost: 0.0069 ips: 37.2046 images/s
[07/28 01:31:02] ppdet.engine INFO: Epoch: [138] [580/732] learning_rate: 0.104989 loss_vfl: 1.137794 loss_bbox: 0.581729 loss_dfl: 0.479568 loss: 2.201049 eta: 1 day, 12:38:29 batch_cost: 1.1430 data_cost: 0.0027 ips: 34.9971 images/s
[07/28 01:31:30] ppdet.engine INFO: Epoch: [138] [600/732] learning_rate: 0.104960 loss_vfl: 1.123554 loss_bbox: 0.562061 loss_dfl: 0.471276 loss: 2.177045 eta: 1 day, 12:38:06 batch_cost: 1.0922 data_cost: 0.0045 ips: 36.6247 images/s
[07/28 01:31:56] ppdet.engine INFO: Epoch: [138] [620/732] learning_rate: 0.104930 loss_vfl: 1.068830 loss_bbox: 0.566284 loss_dfl: 0.473740 loss: 2.112793 eta: 1 day, 12:37:43 batch_cost: 1.0736 data_cost: 0.0051 ips: 37.2578 images/s
[07/28 01:32:23] ppdet.engine INFO: Epoch: [138] [640/732] learning_rate: 0.104901 loss_vfl: 1.074058 loss_bbox: 0.536447 loss_dfl: 0.465596 loss: 2.078529 eta: 1 day, 12:37:20 batch_cost: 1.0919 data_cost: 0.0053 ips: 36.6337 images/s
[07/28 01:32:50] ppdet.engine INFO: Epoch: [138] [660/732] learning_rate: 0.104871 loss_vfl: 1.064583 loss_bbox: 0.554132 loss_dfl: 0.453659 loss: 2.052019 eta: 1 day, 12:36:59 batch_cost: 1.1857 data_cost: 0.0078 ips: 33.7345 images/s
[07/28 01:33:16] ppdet.engine INFO: Epoch: [138] [680/732] learning_rate: 0.104842 loss_vfl: 1.121879 loss_bbox: 0.572221 loss_dfl: 0.491752 loss: 2.182583 eta: 1 day, 12:36:36 batch_cost: 1.0976 data_cost: 0.0060 ips: 36.4427 images/s
[07/28 01:33:42] ppdet.engine INFO: Epoch: [138] [700/732] learning_rate: 0.104812 loss_vfl: 1.086737 loss_bbox: 0.585546 loss_dfl: 0.482419 loss: 2.166555 eta: 1 day, 12:36:14 batch_cost: 1.1468 data_cost: 0.0054 ips: 34.8791 images/s
[07/28 01:34:09] ppdet.engine INFO: Epoch: [138] [720/732] learning_rate: 0.104783 loss_vfl: 1.100789 loss_bbox: 0.573361 loss_dfl: 0.475286 loss: 2.134494 eta: 1 day, 12:35:51 batch_cost: 1.0611 data_cost: 0.0116 ips: 37.6950 images/s
[07/28 01:34:31] ppdet.engine INFO: Epoch: [139] [  0/732] learning_rate: 0.104765 loss_vfl: 1.082700 loss_bbox: 0.540742 loss_dfl: 0.457180 loss: 2.051565 eta: 1 day, 12:35:44 batch_cost: 1.4130 data_cost: 0.5159 ips: 28.3094 images/s
[07/28 01:34:58] ppdet.engine INFO: Epoch: [139] [ 20/732] learning_rate: 0.104736 loss_vfl: 1.097088 loss_bbox: 0.565393 loss_dfl: 0.469653 loss: 2.134675 eta: 1 day, 12:35:21 batch_cost: 1.1081 data_cost: 0.0056 ips: 36.0993 images/s
[07/28 01:35:28] ppdet.engine INFO: Epoch: [139] [ 40/732] learning_rate: 0.104706 loss_vfl: 1.090183 loss_bbox: 0.563271 loss_dfl: 0.473388 loss: 2.152421 eta: 1 day, 12:35:00 batch_cost: 1.1858 data_cost: 0.0054 ips: 33.7314 images/s
[07/28 01:35:55] ppdet.engine INFO: Epoch: [139] [ 60/732] learning_rate: 0.104677 loss_vfl: 1.099206 loss_bbox: 0.579506 loss_dfl: 0.484513 loss: 2.157340 eta: 1 day, 12:34:36 batch_cost: 1.0338 data_cost: 0.0043 ips: 38.6905 images/s
[07/28 01:36:20] ppdet.engine INFO: Epoch: [139] [ 80/732] learning_rate: 0.104648 loss_vfl: 1.096704 loss_bbox: 0.545287 loss_dfl: 0.462743 loss: 2.112118 eta: 1 day, 12:34:11 batch_cost: 1.0086 data_cost: 0.0058 ips: 39.6592 images/s
[07/28 01:36:47] ppdet.engine INFO: Epoch: [139] [100/732] learning_rate: 0.104618 loss_vfl: 1.103771 loss_bbox: 0.577140 loss_dfl: 0.473830 loss: 2.169639 eta: 1 day, 12:33:48 batch_cost: 1.1019 data_cost: 0.0031 ips: 36.3019 images/s
[07/28 01:37:13] ppdet.engine INFO: Epoch: [139] [120/732] learning_rate: 0.104589 loss_vfl: 1.133056 loss_bbox: 0.586281 loss_dfl: 0.485816 loss: 2.204909 eta: 1 day, 12:33:24 batch_cost: 1.0487 data_cost: 0.0103 ips: 38.1420 images/s
[07/28 01:37:40] ppdet.engine INFO: Epoch: [139] [140/732] learning_rate: 0.104559 loss_vfl: 1.103181 loss_bbox: 0.567233 loss_dfl: 0.470931 loss: 2.158830 eta: 1 day, 12:33:03 batch_cost: 1.1528 data_cost: 0.0042 ips: 34.6979 images/s
[07/28 01:38:05] ppdet.engine INFO: Epoch: [139] [160/732] learning_rate: 0.104530 loss_vfl: 1.096329 loss_bbox: 0.553230 loss_dfl: 0.464450 loss: 2.096956 eta: 1 day, 12:32:39 batch_cost: 1.0327 data_cost: 0.0049 ips: 38.7320 images/s
[07/28 01:38:33] ppdet.engine INFO: Epoch: [139] [180/732] learning_rate: 0.104500 loss_vfl: 1.100348 loss_bbox: 0.561388 loss_dfl: 0.463884 loss: 2.102530 eta: 1 day, 12:32:18 batch_cost: 1.2116 data_cost: 0.0143 ips: 33.0146 images/s
[07/28 01:39:00] ppdet.engine INFO: Epoch: [139] [200/732] learning_rate: 0.104471 loss_vfl: 1.097956 loss_bbox: 0.558156 loss_dfl: 0.475004 loss: 2.116001 eta: 1 day, 12:31:57 batch_cost: 1.1415 data_cost: 0.0045 ips: 35.0426 images/s
[07/28 01:39:26] ppdet.engine INFO: Epoch: [139] [220/732] learning_rate: 0.104441 loss_vfl: 1.080096 loss_bbox: 0.543663 loss_dfl: 0.461838 loss: 2.095293 eta: 1 day, 12:31:32 batch_cost: 1.0115 data_cost: 0.0215 ips: 39.5469 images/s
[07/28 01:39:54] ppdet.engine INFO: Epoch: [139] [240/732] learning_rate: 0.104412 loss_vfl: 1.108737 loss_bbox: 0.556251 loss_dfl: 0.474919 loss: 2.151173 eta: 1 day, 12:31:10 batch_cost: 1.1458 data_cost: 0.0069 ips: 34.9102 images/s
[07/28 01:40:20] ppdet.engine INFO: Epoch: [139] [260/732] learning_rate: 0.104383 loss_vfl: 1.078771 loss_bbox: 0.548468 loss_dfl: 0.455703 loss: 2.065265 eta: 1 day, 12:30:47 batch_cost: 1.1033 data_cost: 0.0180 ips: 36.2534 images/s
[07/28 01:40:44] ppdet.engine INFO: Epoch: [139] [280/732] learning_rate: 0.104353 loss_vfl: 1.065566 loss_bbox: 0.548876 loss_dfl: 0.452178 loss: 2.069777 eta: 1 day, 12:30:21 batch_cost: 0.9649 data_cost: 0.0108 ips: 41.4565 images/s
[07/28 01:41:10] ppdet.engine INFO: Epoch: [139] [300/732] learning_rate: 0.104324 loss_vfl: 1.084205 loss_bbox: 0.556172 loss_dfl: 0.473166 loss: 2.131312 eta: 1 day, 12:29:58 batch_cost: 1.0657 data_cost: 0.0043 ips: 37.5323 images/s
[07/28 01:41:38] ppdet.engine INFO: Epoch: [139] [320/732] learning_rate: 0.104294 loss_vfl: 1.075877 loss_bbox: 0.585807 loss_dfl: 0.477905 loss: 2.161500 eta: 1 day, 12:29:36 batch_cost: 1.1561 data_cost: 0.0044 ips: 34.5989 images/s
[07/28 01:42:04] ppdet.engine INFO: Epoch: [139] [340/732] learning_rate: 0.104265 loss_vfl: 1.112616 loss_bbox: 0.567478 loss_dfl: 0.477276 loss: 2.176728 eta: 1 day, 12:29:13 batch_cost: 1.0837 data_cost: 0.0103 ips: 36.9114 images/s
[07/28 01:42:29] ppdet.engine INFO: Epoch: [139] [360/732] learning_rate: 0.104235 loss_vfl: 1.077970 loss_bbox: 0.561560 loss_dfl: 0.457851 loss: 2.083753 eta: 1 day, 12:28:50 batch_cost: 1.0861 data_cost: 0.0073 ips: 36.8302 images/s
[07/28 01:42:55] ppdet.engine INFO: Epoch: [139] [380/732] learning_rate: 0.104206 loss_vfl: 1.080593 loss_bbox: 0.539279 loss_dfl: 0.452896 loss: 2.086221 eta: 1 day, 12:28:26 batch_cost: 1.0456 data_cost: 0.0063 ips: 38.2543 images/s
[07/28 01:43:21] ppdet.engine INFO: Epoch: [139] [400/732] learning_rate: 0.104176 loss_vfl: 1.111128 loss_bbox: 0.572841 loss_dfl: 0.472637 loss: 2.150052 eta: 1 day, 12:28:04 batch_cost: 1.1290 data_cost: 0.0126 ips: 35.4287 images/s
[07/28 01:43:47] ppdet.engine INFO: Epoch: [139] [420/732] learning_rate: 0.104147 loss_vfl: 1.094893 loss_bbox: 0.568376 loss_dfl: 0.470234 loss: 2.106894 eta: 1 day, 12:27:41 batch_cost: 1.1060 data_cost: 0.0117 ips: 36.1667 images/s
[07/28 01:44:13] ppdet.engine INFO: Epoch: [139] [440/732] learning_rate: 0.104118 loss_vfl: 1.076715 loss_bbox: 0.551291 loss_dfl: 0.461599 loss: 2.120529 eta: 1 day, 12:27:18 batch_cost: 1.0810 data_cost: 0.0107 ips: 37.0015 images/s
[07/28 01:44:39] ppdet.engine INFO: Epoch: [139] [460/732] learning_rate: 0.104088 loss_vfl: 1.111261 loss_bbox: 0.576164 loss_dfl: 0.481495 loss: 2.153257 eta: 1 day, 12:26:55 batch_cost: 1.0946 data_cost: 0.0041 ips: 36.5444 images/s
[07/28 01:45:06] ppdet.engine INFO: Epoch: [139] [480/732] learning_rate: 0.104059 loss_vfl: 1.099543 loss_bbox: 0.566370 loss_dfl: 0.481350 loss: 2.151240 eta: 1 day, 12:26:32 batch_cost: 1.0809 data_cost: 0.0082 ips: 37.0065 images/s
[07/28 01:45:31] ppdet.engine INFO: Epoch: [139] [500/732] learning_rate: 0.104029 loss_vfl: 1.131921 loss_bbox: 0.583250 loss_dfl: 0.495652 loss: 2.229152 eta: 1 day, 12:26:08 batch_cost: 1.0342 data_cost: 0.0082 ips: 38.6763 images/s
[07/28 01:45:58] ppdet.engine INFO: Epoch: [139] [520/732] learning_rate: 0.104000 loss_vfl: 1.073388 loss_bbox: 0.562809 loss_dfl: 0.469303 loss: 2.121465 eta: 1 day, 12:25:45 batch_cost: 1.0777 data_cost: 0.0097 ips: 37.1146 images/s
[07/28 01:46:24] ppdet.engine INFO: Epoch: [139] [540/732] learning_rate: 0.103970 loss_vfl: 1.149406 loss_bbox: 0.578957 loss_dfl: 0.485980 loss: 2.168832 eta: 1 day, 12:25:22 batch_cost: 1.1115 data_cost: 0.0080 ips: 35.9887 images/s
[07/28 01:46:50] ppdet.engine INFO: Epoch: [139] [560/732] learning_rate: 0.103941 loss_vfl: 1.152464 loss_bbox: 0.585401 loss_dfl: 0.487414 loss: 2.215420 eta: 1 day, 12:25:01 batch_cost: 1.1655 data_cost: 0.0037 ips: 34.3209 images/s
[07/28 01:47:15] ppdet.engine INFO: Epoch: [139] [580/732] learning_rate: 0.103911 loss_vfl: 1.122548 loss_bbox: 0.565856 loss_dfl: 0.476834 loss: 2.149104 eta: 1 day, 12:24:37 batch_cost: 1.0320 data_cost: 0.0066 ips: 38.7593 images/s
[07/28 01:47:42] ppdet.engine INFO: Epoch: [139] [600/732] learning_rate: 0.103882 loss_vfl: 1.140959 loss_bbox: 0.592106 loss_dfl: 0.491132 loss: 2.229030 eta: 1 day, 12:24:13 batch_cost: 1.0596 data_cost: 0.0116 ips: 37.7502 images/s
[07/28 01:48:07] ppdet.engine INFO: Epoch: [139] [620/732] learning_rate: 0.103853 loss_vfl: 1.093621 loss_bbox: 0.545869 loss_dfl: 0.464220 loss: 2.124334 eta: 1 day, 12:23:49 batch_cost: 1.0528 data_cost: 0.0057 ips: 37.9948 images/s
[07/28 01:48:32] ppdet.engine INFO: Epoch: [139] [640/732] learning_rate: 0.103823 loss_vfl: 1.118199 loss_bbox: 0.582327 loss_dfl: 0.478972 loss: 2.171835 eta: 1 day, 12:23:24 batch_cost: 0.9915 data_cost: 0.0099 ips: 40.3425 images/s
[07/28 01:49:01] ppdet.engine INFO: Epoch: [139] [660/732] learning_rate: 0.103794 loss_vfl: 1.063366 loss_bbox: 0.560398 loss_dfl: 0.466148 loss: 2.097385 eta: 1 day, 12:23:03 batch_cost: 1.1985 data_cost: 0.0922 ips: 33.3764 images/s
[07/28 01:49:26] ppdet.engine INFO: Epoch: [139] [680/732] learning_rate: 0.103764 loss_vfl: 1.109670 loss_bbox: 0.549973 loss_dfl: 0.467404 loss: 2.124715 eta: 1 day, 12:22:40 batch_cost: 1.0624 data_cost: 0.0044 ips: 37.6492 images/s
[07/28 01:49:51] ppdet.engine INFO: Epoch: [139] [700/732] learning_rate: 0.103735 loss_vfl: 1.135768 loss_bbox: 0.569474 loss_dfl: 0.480352 loss: 2.180812 eta: 1 day, 12:22:16 batch_cost: 1.0429 data_cost: 0.0047 ips: 38.3537 images/s
[07/28 01:50:18] ppdet.engine INFO: Epoch: [139] [720/732] learning_rate: 0.103705 loss_vfl: 1.079732 loss_bbox: 0.572882 loss_dfl: 0.466646 loss: 2.102374 eta: 1 day, 12:21:54 batch_cost: 1.1382 data_cost: 0.0050 ips: 35.1433 images/s
[07/28 01:50:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 01:50:29] ppdet.engine INFO: Eval iter: 0
[07/28 01:50:50] ppdet.engine INFO: Eval iter: 100
[07/28 01:50:59] ppdet.engine INFO: Eval iter: 200
[07/28 01:51:09] ppdet.engine INFO: Eval iter: 300
[07/28 01:51:19] ppdet.engine INFO: Eval iter: 400
[07/28 01:51:29] ppdet.engine INFO: Eval iter: 500
[07/28 01:51:38] ppdet.engine INFO: Eval iter: 600
[07/28 01:51:54] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.62s)
creating index...
index created!
[07/28 01:51:55] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.68s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.97s).
Accumulating evaluation results...
DONE (t=18.98s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.262
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.392
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.277
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.100
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.277
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.402
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.258
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.419
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.448
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.187
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.497
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.669
[07/28 01:54:02] ppdet.engine INFO: Total sample number: 4952, averge FPS: 68.37584498976184
[07/28 01:54:02] ppdet.engine INFO: Best test bbox ap is 0.262.
[07/28 01:54:02] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 01:54:03] ppdet.engine INFO: Epoch: [140] [  0/732] learning_rate: 0.103688 loss_vfl: 1.105117 loss_bbox: 0.570851 loss_dfl: 0.477032 loss: 2.132615 eta: 1 day, 12:21:33 batch_cost: 0.8014 data_cost: 0.0004 ips: 49.9150 images/s
[07/28 01:54:28] ppdet.engine INFO: Epoch: [140] [ 20/732] learning_rate: 0.103658 loss_vfl: 1.038540 loss_bbox: 0.530359 loss_dfl: 0.437795 loss: 1.997438 eta: 1 day, 12:21:10 batch_cost: 1.1192 data_cost: 0.0110 ips: 35.7394 images/s
[07/28 01:54:55] ppdet.engine INFO: Epoch: [140] [ 40/732] learning_rate: 0.103629 loss_vfl: 1.145258 loss_bbox: 0.576631 loss_dfl: 0.484244 loss: 2.202069 eta: 1 day, 12:20:47 batch_cost: 1.0735 data_cost: 0.0020 ips: 37.2607 images/s
[07/28 01:55:22] ppdet.engine INFO: Epoch: [140] [ 60/732] learning_rate: 0.103599 loss_vfl: 1.154971 loss_bbox: 0.583032 loss_dfl: 0.488612 loss: 2.223502 eta: 1 day, 12:20:24 batch_cost: 1.1063 data_cost: 0.0058 ips: 36.1577 images/s
[07/28 01:55:49] ppdet.engine INFO: Epoch: [140] [ 80/732] learning_rate: 0.103570 loss_vfl: 1.115713 loss_bbox: 0.582909 loss_dfl: 0.487900 loss: 2.196937 eta: 1 day, 12:20:00 batch_cost: 1.0055 data_cost: 0.0049 ips: 39.7829 images/s
[07/28 01:56:17] ppdet.engine INFO: Epoch: [140] [100/732] learning_rate: 0.103541 loss_vfl: 1.060288 loss_bbox: 0.558408 loss_dfl: 0.461036 loss: 2.089509 eta: 1 day, 12:19:38 batch_cost: 1.1371 data_cost: 0.0095 ips: 35.1784 images/s
[07/28 01:56:43] ppdet.engine INFO: Epoch: [140] [120/732] learning_rate: 0.103511 loss_vfl: 1.130605 loss_bbox: 0.564484 loss_dfl: 0.477397 loss: 2.186980 eta: 1 day, 12:19:13 batch_cost: 1.0190 data_cost: 0.0091 ips: 39.2560 images/s
[07/28 01:57:07] ppdet.engine INFO: Epoch: [140] [140/732] learning_rate: 0.103482 loss_vfl: 1.055380 loss_bbox: 0.555301 loss_dfl: 0.456526 loss: 2.068929 eta: 1 day, 12:18:48 batch_cost: 1.0013 data_cost: 0.0072 ips: 39.9493 images/s
[07/28 01:57:35] ppdet.engine INFO: Epoch: [140] [160/732] learning_rate: 0.103452 loss_vfl: 1.097130 loss_bbox: 0.577212 loss_dfl: 0.476058 loss: 2.147014 eta: 1 day, 12:18:23 batch_cost: 1.0070 data_cost: 0.0050 ips: 39.7203 images/s
[07/28 01:58:04] ppdet.engine INFO: Epoch: [140] [180/732] learning_rate: 0.103423 loss_vfl: 1.060524 loss_bbox: 0.533937 loss_dfl: 0.456926 loss: 2.062337 eta: 1 day, 12:18:02 batch_cost: 1.1895 data_cost: 0.0036 ips: 33.6262 images/s
[07/28 01:58:30] ppdet.engine INFO: Epoch: [140] [200/732] learning_rate: 0.103393 loss_vfl: 1.118216 loss_bbox: 0.555801 loss_dfl: 0.475341 loss: 2.161709 eta: 1 day, 12:17:39 batch_cost: 1.0773 data_cost: 0.0089 ips: 37.1307 images/s
[07/28 01:58:56] ppdet.engine INFO: Epoch: [140] [220/732] learning_rate: 0.103364 loss_vfl: 1.110002 loss_bbox: 0.552991 loss_dfl: 0.466634 loss: 2.141905 eta: 1 day, 12:17:16 batch_cost: 1.0941 data_cost: 0.0094 ips: 36.5605 images/s
[07/28 01:59:23] ppdet.engine INFO: Epoch: [140] [240/732] learning_rate: 0.103335 loss_vfl: 1.133385 loss_bbox: 0.573638 loss_dfl: 0.490036 loss: 2.203502 eta: 1 day, 12:16:53 batch_cost: 1.0695 data_cost: 0.0057 ips: 37.4020 images/s
[07/28 01:59:50] ppdet.engine INFO: Epoch: [140] [260/732] learning_rate: 0.103305 loss_vfl: 1.078535 loss_bbox: 0.559676 loss_dfl: 0.463150 loss: 2.088019 eta: 1 day, 12:16:31 batch_cost: 1.1466 data_cost: 0.0100 ips: 34.8845 images/s
[07/28 02:00:17] ppdet.engine INFO: Epoch: [140] [280/732] learning_rate: 0.103276 loss_vfl: 1.057947 loss_bbox: 0.560319 loss_dfl: 0.470190 loss: 2.101982 eta: 1 day, 12:16:10 batch_cost: 1.1569 data_cost: 0.0104 ips: 34.5739 images/s
[07/28 02:00:44] ppdet.engine INFO: Epoch: [140] [300/732] learning_rate: 0.103246 loss_vfl: 1.109374 loss_bbox: 0.561249 loss_dfl: 0.467954 loss: 2.134514 eta: 1 day, 12:15:46 batch_cost: 1.0381 data_cost: 0.0066 ips: 38.5311 images/s
[07/28 02:01:09] ppdet.engine INFO: Epoch: [140] [320/732] learning_rate: 0.103217 loss_vfl: 1.063958 loss_bbox: 0.562403 loss_dfl: 0.459439 loss: 2.068185 eta: 1 day, 12:15:21 batch_cost: 1.0292 data_cost: 0.0071 ips: 38.8664 images/s
[07/28 02:01:36] ppdet.engine INFO: Epoch: [140] [340/732] learning_rate: 0.103187 loss_vfl: 1.149116 loss_bbox: 0.597668 loss_dfl: 0.491405 loss: 2.214181 eta: 1 day, 12:14:57 batch_cost: 1.0446 data_cost: 0.0040 ips: 38.2915 images/s
[07/28 02:02:03] ppdet.engine INFO: Epoch: [140] [360/732] learning_rate: 0.103158 loss_vfl: 1.084455 loss_bbox: 0.551178 loss_dfl: 0.464511 loss: 2.107940 eta: 1 day, 12:14:34 batch_cost: 1.0783 data_cost: 0.0069 ips: 37.0942 images/s
[07/28 02:02:29] ppdet.engine INFO: Epoch: [140] [380/732] learning_rate: 0.103129 loss_vfl: 1.152178 loss_bbox: 0.605697 loss_dfl: 0.501559 loss: 2.263801 eta: 1 day, 12:14:09 batch_cost: 1.0197 data_cost: 0.0083 ips: 39.2266 images/s
[07/28 02:02:54] ppdet.engine INFO: Epoch: [140] [400/732] learning_rate: 0.103099 loss_vfl: 1.098406 loss_bbox: 0.589052 loss_dfl: 0.481575 loss: 2.136404 eta: 1 day, 12:13:45 batch_cost: 1.0420 data_cost: 0.0032 ips: 38.3877 images/s
[07/28 02:03:23] ppdet.engine INFO: Epoch: [140] [420/732] learning_rate: 0.103070 loss_vfl: 1.121085 loss_bbox: 0.589936 loss_dfl: 0.479003 loss: 2.193837 eta: 1 day, 12:13:24 batch_cost: 1.1624 data_cost: 0.0049 ips: 34.4111 images/s
[07/28 02:03:49] ppdet.engine INFO: Epoch: [140] [440/732] learning_rate: 0.103040 loss_vfl: 1.131594 loss_bbox: 0.555887 loss_dfl: 0.476891 loss: 2.189508 eta: 1 day, 12:12:58 batch_cost: 0.9777 data_cost: 0.0067 ips: 40.9130 images/s
[07/28 02:04:15] ppdet.engine INFO: Epoch: [140] [460/732] learning_rate: 0.103011 loss_vfl: 1.131742 loss_bbox: 0.598404 loss_dfl: 0.480305 loss: 2.194435 eta: 1 day, 12:12:34 batch_cost: 1.0297 data_cost: 0.0065 ips: 38.8454 images/s
[07/28 02:04:44] ppdet.engine INFO: Epoch: [140] [480/732] learning_rate: 0.102981 loss_vfl: 1.076618 loss_bbox: 0.554320 loss_dfl: 0.455046 loss: 2.088657 eta: 1 day, 12:12:14 batch_cost: 1.2362 data_cost: 0.0036 ips: 32.3569 images/s
[07/28 02:05:11] ppdet.engine INFO: Epoch: [140] [500/732] learning_rate: 0.102952 loss_vfl: 1.119789 loss_bbox: 0.585898 loss_dfl: 0.486129 loss: 2.195362 eta: 1 day, 12:11:51 batch_cost: 1.0632 data_cost: 0.0103 ips: 37.6211 images/s
[07/28 02:05:38] ppdet.engine INFO: Epoch: [140] [520/732] learning_rate: 0.102923 loss_vfl: 1.074000 loss_bbox: 0.557055 loss_dfl: 0.463377 loss: 2.119787 eta: 1 day, 12:11:29 batch_cost: 1.1529 data_cost: 0.0032 ips: 34.6956 images/s
[07/28 02:06:03] ppdet.engine INFO: Epoch: [140] [540/732] learning_rate: 0.102893 loss_vfl: 1.096932 loss_bbox: 0.568065 loss_dfl: 0.465971 loss: 2.141501 eta: 1 day, 12:11:05 batch_cost: 1.0095 data_cost: 0.0069 ips: 39.6247 images/s
[07/28 02:06:29] ppdet.engine INFO: Epoch: [140] [560/732] learning_rate: 0.102864 loss_vfl: 1.089468 loss_bbox: 0.540016 loss_dfl: 0.451385 loss: 2.044206 eta: 1 day, 12:10:40 batch_cost: 1.0318 data_cost: 0.0120 ips: 38.7685 images/s
[07/28 02:06:56] ppdet.engine INFO: Epoch: [140] [580/732] learning_rate: 0.102834 loss_vfl: 1.082419 loss_bbox: 0.554878 loss_dfl: 0.458516 loss: 2.082709 eta: 1 day, 12:10:16 batch_cost: 1.0431 data_cost: 0.0031 ips: 38.3485 images/s
[07/28 02:07:22] ppdet.engine INFO: Epoch: [140] [600/732] learning_rate: 0.102805 loss_vfl: 1.105992 loss_bbox: 0.565679 loss_dfl: 0.476580 loss: 2.140133 eta: 1 day, 12:09:53 batch_cost: 1.0866 data_cost: 0.0055 ips: 36.8128 images/s
[07/28 02:07:49] ppdet.engine INFO: Epoch: [140] [620/732] learning_rate: 0.102776 loss_vfl: 1.118118 loss_bbox: 0.585170 loss_dfl: 0.484759 loss: 2.202306 eta: 1 day, 12:09:31 batch_cost: 1.1119 data_cost: 0.0063 ips: 35.9751 images/s
[07/28 02:08:15] ppdet.engine INFO: Epoch: [140] [640/732] learning_rate: 0.102746 loss_vfl: 1.179136 loss_bbox: 0.595525 loss_dfl: 0.489192 loss: 2.271887 eta: 1 day, 12:09:08 batch_cost: 1.1039 data_cost: 0.0040 ips: 36.2365 images/s
[07/28 02:08:42] ppdet.engine INFO: Epoch: [140] [660/732] learning_rate: 0.102717 loss_vfl: 1.126166 loss_bbox: 0.593663 loss_dfl: 0.484401 loss: 2.190205 eta: 1 day, 12:08:45 batch_cost: 1.0804 data_cost: 0.0043 ips: 37.0243 images/s
[07/28 02:09:09] ppdet.engine INFO: Epoch: [140] [680/732] learning_rate: 0.102687 loss_vfl: 1.131252 loss_bbox: 0.575124 loss_dfl: 0.480305 loss: 2.175552 eta: 1 day, 12:08:23 batch_cost: 1.1474 data_cost: 0.0053 ips: 34.8628 images/s
[07/28 02:09:34] ppdet.engine INFO: Epoch: [140] [700/732] learning_rate: 0.102658 loss_vfl: 1.089317 loss_bbox: 0.562456 loss_dfl: 0.462709 loss: 2.128218 eta: 1 day, 12:07:59 batch_cost: 1.0349 data_cost: 0.0049 ips: 38.6504 images/s
[07/28 02:10:01] ppdet.engine INFO: Epoch: [140] [720/732] learning_rate: 0.102628 loss_vfl: 1.099317 loss_bbox: 0.557145 loss_dfl: 0.467502 loss: 2.144612 eta: 1 day, 12:07:37 batch_cost: 1.1288 data_cost: 0.0116 ips: 35.4354 images/s
[07/28 02:10:23] ppdet.engine INFO: Epoch: [141] [  0/732] learning_rate: 0.102611 loss_vfl: 1.099317 loss_bbox: 0.550204 loss_dfl: 0.465750 loss: 2.126439 eta: 1 day, 12:07:30 batch_cost: 1.4364 data_cost: 0.3313 ips: 27.8479 images/s
[07/28 02:10:50] ppdet.engine INFO: Epoch: [141] [ 20/732] learning_rate: 0.102581 loss_vfl: 1.064470 loss_bbox: 0.549805 loss_dfl: 0.465194 loss: 2.090126 eta: 1 day, 12:07:08 batch_cost: 1.1526 data_cost: 0.0027 ips: 34.7055 images/s
[07/28 02:11:18] ppdet.engine INFO: Epoch: [141] [ 40/732] learning_rate: 0.102552 loss_vfl: 1.105968 loss_bbox: 0.563982 loss_dfl: 0.459430 loss: 2.132460 eta: 1 day, 12:06:46 batch_cost: 1.1197 data_cost: 0.0046 ips: 35.7231 images/s
[07/28 02:11:44] ppdet.engine INFO: Epoch: [141] [ 60/732] learning_rate: 0.102523 loss_vfl: 1.128183 loss_bbox: 0.583696 loss_dfl: 0.484151 loss: 2.218049 eta: 1 day, 12:06:22 batch_cost: 1.0564 data_cost: 0.0044 ips: 37.8639 images/s
[07/28 02:12:11] ppdet.engine INFO: Epoch: [141] [ 80/732] learning_rate: 0.102493 loss_vfl: 1.070006 loss_bbox: 0.572323 loss_dfl: 0.467714 loss: 2.111249 eta: 1 day, 12:06:00 batch_cost: 1.1381 data_cost: 0.0098 ips: 35.1476 images/s
[07/28 02:12:37] ppdet.engine INFO: Epoch: [141] [100/732] learning_rate: 0.102464 loss_vfl: 1.116199 loss_bbox: 0.571721 loss_dfl: 0.481622 loss: 2.166047 eta: 1 day, 12:05:38 batch_cost: 1.1058 data_cost: 0.0046 ips: 36.1728 images/s
[07/28 02:13:05] ppdet.engine INFO: Epoch: [141] [120/732] learning_rate: 0.102434 loss_vfl: 1.087712 loss_bbox: 0.557016 loss_dfl: 0.468928 loss: 2.107714 eta: 1 day, 12:05:14 batch_cost: 1.0711 data_cost: 0.0053 ips: 37.3438 images/s
[07/28 02:13:30] ppdet.engine INFO: Epoch: [141] [140/732] learning_rate: 0.102405 loss_vfl: 1.077831 loss_bbox: 0.561127 loss_dfl: 0.459905 loss: 2.102661 eta: 1 day, 12:04:51 batch_cost: 1.0684 data_cost: 0.0065 ips: 37.4400 images/s
[07/28 02:13:56] ppdet.engine INFO: Epoch: [141] [160/732] learning_rate: 0.102375 loss_vfl: 1.124809 loss_bbox: 0.575581 loss_dfl: 0.469707 loss: 2.156481 eta: 1 day, 12:04:27 batch_cost: 1.0382 data_cost: 0.0055 ips: 38.5268 images/s
[07/28 02:14:22] ppdet.engine INFO: Epoch: [141] [180/732] learning_rate: 0.102346 loss_vfl: 1.089974 loss_bbox: 0.575297 loss_dfl: 0.472573 loss: 2.131654 eta: 1 day, 12:04:03 batch_cost: 1.0677 data_cost: 0.0055 ips: 37.4634 images/s
[07/28 02:14:49] ppdet.engine INFO: Epoch: [141] [200/732] learning_rate: 0.102317 loss_vfl: 1.119819 loss_bbox: 0.574822 loss_dfl: 0.475505 loss: 2.177979 eta: 1 day, 12:03:41 batch_cost: 1.1257 data_cost: 0.0161 ips: 35.5350 images/s
[07/28 02:15:15] ppdet.engine INFO: Epoch: [141] [220/732] learning_rate: 0.102287 loss_vfl: 1.085488 loss_bbox: 0.532221 loss_dfl: 0.442276 loss: 2.057964 eta: 1 day, 12:03:17 batch_cost: 1.0425 data_cost: 0.0113 ips: 38.3678 images/s
[07/28 02:15:44] ppdet.engine INFO: Epoch: [141] [240/732] learning_rate: 0.102258 loss_vfl: 1.087905 loss_bbox: 0.545559 loss_dfl: 0.461848 loss: 2.104724 eta: 1 day, 12:02:55 batch_cost: 1.1190 data_cost: 0.0091 ips: 35.7451 images/s
[07/28 02:16:09] ppdet.engine INFO: Epoch: [141] [260/732] learning_rate: 0.102228 loss_vfl: 1.118545 loss_bbox: 0.568660 loss_dfl: 0.472424 loss: 2.143715 eta: 1 day, 12:02:31 batch_cost: 1.0389 data_cost: 0.0152 ips: 38.5033 images/s
[07/28 02:16:36] ppdet.engine INFO: Epoch: [141] [280/732] learning_rate: 0.102199 loss_vfl: 1.080826 loss_bbox: 0.550196 loss_dfl: 0.455551 loss: 2.063804 eta: 1 day, 12:02:09 batch_cost: 1.1497 data_cost: 0.0062 ips: 34.7926 images/s
[07/28 02:17:03] ppdet.engine INFO: Epoch: [141] [300/732] learning_rate: 0.102170 loss_vfl: 1.124537 loss_bbox: 0.574957 loss_dfl: 0.476885 loss: 2.180630 eta: 1 day, 12:01:47 batch_cost: 1.1386 data_cost: 0.0057 ips: 35.1315 images/s
[07/28 02:17:30] ppdet.engine INFO: Epoch: [141] [320/732] learning_rate: 0.102140 loss_vfl: 1.091412 loss_bbox: 0.552680 loss_dfl: 0.468587 loss: 2.131626 eta: 1 day, 12:01:26 batch_cost: 1.1724 data_cost: 0.0085 ips: 34.1192 images/s
[07/28 02:17:56] ppdet.engine INFO: Epoch: [141] [340/732] learning_rate: 0.102111 loss_vfl: 1.104632 loss_bbox: 0.531108 loss_dfl: 0.455171 loss: 2.097102 eta: 1 day, 12:01:03 batch_cost: 1.0646 data_cost: 0.0085 ips: 37.5713 images/s
[07/28 02:18:22] ppdet.engine INFO: Epoch: [141] [360/732] learning_rate: 0.102081 loss_vfl: 1.160076 loss_bbox: 0.595963 loss_dfl: 0.496042 loss: 2.248792 eta: 1 day, 12:00:39 batch_cost: 1.0584 data_cost: 0.0029 ips: 37.7941 images/s
[07/28 02:18:49] ppdet.engine INFO: Epoch: [141] [380/732] learning_rate: 0.102052 loss_vfl: 1.084584 loss_bbox: 0.555656 loss_dfl: 0.464209 loss: 2.114963 eta: 1 day, 12:00:17 batch_cost: 1.1251 data_cost: 0.0099 ips: 35.5514 images/s
[07/28 02:19:16] ppdet.engine INFO: Epoch: [141] [400/732] learning_rate: 0.102023 loss_vfl: 1.059986 loss_bbox: 0.564110 loss_dfl: 0.463920 loss: 2.092433 eta: 1 day, 11:59:52 batch_cost: 1.0290 data_cost: 0.0082 ips: 38.8732 images/s
[07/28 02:19:41] ppdet.engine INFO: Epoch: [141] [420/732] learning_rate: 0.101993 loss_vfl: 1.123911 loss_bbox: 0.575958 loss_dfl: 0.481217 loss: 2.193897 eta: 1 day, 11:59:27 batch_cost: 0.9906 data_cost: 0.0033 ips: 40.3784 images/s
[07/28 02:20:10] ppdet.engine INFO: Epoch: [141] [440/732] learning_rate: 0.101964 loss_vfl: 1.111959 loss_bbox: 0.585663 loss_dfl: 0.476795 loss: 2.159362 eta: 1 day, 11:59:07 batch_cost: 1.1944 data_cost: 0.0064 ips: 33.4897 images/s
[07/28 02:20:33] ppdet.engine INFO: Epoch: [141] [460/732] learning_rate: 0.101934 loss_vfl: 1.139228 loss_bbox: 0.566024 loss_dfl: 0.479104 loss: 2.207585 eta: 1 day, 11:58:40 batch_cost: 0.9103 data_cost: 0.0025 ips: 43.9416 images/s
[07/28 02:21:01] ppdet.engine INFO: Epoch: [141] [480/732] learning_rate: 0.101905 loss_vfl: 1.088448 loss_bbox: 0.549387 loss_dfl: 0.467569 loss: 2.082276 eta: 1 day, 11:58:19 batch_cost: 1.2058 data_cost: 0.0525 ips: 33.1734 images/s
[07/28 02:21:29] ppdet.engine INFO: Epoch: [141] [500/732] learning_rate: 0.101876 loss_vfl: 1.077050 loss_bbox: 0.565858 loss_dfl: 0.469103 loss: 2.119410 eta: 1 day, 11:57:57 batch_cost: 1.1010 data_cost: 0.0076 ips: 36.3304 images/s
[07/28 02:21:56] ppdet.engine INFO: Epoch: [141] [520/732] learning_rate: 0.101846 loss_vfl: 1.126845 loss_bbox: 0.572212 loss_dfl: 0.490524 loss: 2.188205 eta: 1 day, 11:57:33 batch_cost: 1.0677 data_cost: 0.0067 ips: 37.4641 images/s
[07/28 02:22:20] ppdet.engine INFO: Epoch: [141] [540/732] learning_rate: 0.101817 loss_vfl: 1.095740 loss_bbox: 0.571540 loss_dfl: 0.476759 loss: 2.169288 eta: 1 day, 11:57:09 batch_cost: 1.0292 data_cost: 0.0013 ips: 38.8638 images/s
[07/28 02:22:48] ppdet.engine INFO: Epoch: [141] [560/732] learning_rate: 0.101787 loss_vfl: 1.137502 loss_bbox: 0.568438 loss_dfl: 0.475062 loss: 2.198588 eta: 1 day, 11:56:47 batch_cost: 1.1357 data_cost: 0.0060 ips: 35.2205 images/s
[07/28 02:23:14] ppdet.engine INFO: Epoch: [141] [580/732] learning_rate: 0.101758 loss_vfl: 1.080799 loss_bbox: 0.560122 loss_dfl: 0.468926 loss: 2.098886 eta: 1 day, 11:56:22 batch_cost: 0.9961 data_cost: 0.0076 ips: 40.1573 images/s
[07/28 02:23:40] ppdet.engine INFO: Epoch: [141] [600/732] learning_rate: 0.101729 loss_vfl: 1.079147 loss_bbox: 0.569137 loss_dfl: 0.467695 loss: 2.118660 eta: 1 day, 11:55:58 batch_cost: 1.0428 data_cost: 0.0036 ips: 38.3593 images/s
[07/28 02:24:08] ppdet.engine INFO: Epoch: [141] [620/732] learning_rate: 0.101699 loss_vfl: 1.110257 loss_bbox: 0.567272 loss_dfl: 0.468500 loss: 2.146050 eta: 1 day, 11:55:35 batch_cost: 1.1047 data_cost: 0.0044 ips: 36.2103 images/s
[07/28 02:24:36] ppdet.engine INFO: Epoch: [141] [640/732] learning_rate: 0.101670 loss_vfl: 1.168673 loss_bbox: 0.583761 loss_dfl: 0.498044 loss: 2.256622 eta: 1 day, 11:55:12 batch_cost: 1.0889 data_cost: 0.0090 ips: 36.7336 images/s
[07/28 02:25:02] ppdet.engine INFO: Epoch: [141] [660/732] learning_rate: 0.101640 loss_vfl: 1.103260 loss_bbox: 0.565393 loss_dfl: 0.470633 loss: 2.154947 eta: 1 day, 11:54:50 batch_cost: 1.1313 data_cost: 0.0079 ips: 35.3564 images/s
[07/28 02:25:29] ppdet.engine INFO: Epoch: [141] [680/732] learning_rate: 0.101611 loss_vfl: 1.106140 loss_bbox: 0.574804 loss_dfl: 0.478753 loss: 2.145482 eta: 1 day, 11:54:29 batch_cost: 1.1867 data_cost: 0.0159 ips: 33.7061 images/s
[07/28 02:25:58] ppdet.engine INFO: Epoch: [141] [700/732] learning_rate: 0.101582 loss_vfl: 1.072155 loss_bbox: 0.544876 loss_dfl: 0.456581 loss: 2.069719 eta: 1 day, 11:54:07 batch_cost: 1.1182 data_cost: 0.0104 ips: 35.7721 images/s
[07/28 02:26:25] ppdet.engine INFO: Epoch: [141] [720/732] learning_rate: 0.101552 loss_vfl: 1.061759 loss_bbox: 0.527852 loss_dfl: 0.448815 loss: 2.061018 eta: 1 day, 11:53:44 batch_cost: 1.1005 data_cost: 0.0046 ips: 36.3481 images/s
[07/28 02:26:46] ppdet.engine INFO: Epoch: [142] [  0/732] learning_rate: 0.101535 loss_vfl: 1.085158 loss_bbox: 0.543848 loss_dfl: 0.462831 loss: 2.102373 eta: 1 day, 11:53:37 batch_cost: 1.3668 data_cost: 0.4867 ips: 29.2650 images/s
[07/28 02:27:15] ppdet.engine INFO: Epoch: [142] [ 20/732] learning_rate: 0.101505 loss_vfl: 1.101748 loss_bbox: 0.553107 loss_dfl: 0.455336 loss: 2.121259 eta: 1 day, 11:53:16 batch_cost: 1.2206 data_cost: 0.0030 ips: 32.7699 images/s
[07/28 02:27:41] ppdet.engine INFO: Epoch: [142] [ 40/732] learning_rate: 0.101476 loss_vfl: 1.105762 loss_bbox: 0.580037 loss_dfl: 0.469675 loss: 2.140569 eta: 1 day, 11:52:52 batch_cost: 1.0424 data_cost: 0.0118 ips: 38.3730 images/s
[07/28 02:28:08] ppdet.engine INFO: Epoch: [142] [ 60/732] learning_rate: 0.101446 loss_vfl: 1.117224 loss_bbox: 0.578070 loss_dfl: 0.477931 loss: 2.169524 eta: 1 day, 11:52:31 batch_cost: 1.1704 data_cost: 0.0073 ips: 34.1770 images/s
[07/28 02:28:33] ppdet.engine INFO: Epoch: [142] [ 80/732] learning_rate: 0.101417 loss_vfl: 1.132346 loss_bbox: 0.578315 loss_dfl: 0.485859 loss: 2.200289 eta: 1 day, 11:52:07 batch_cost: 1.0438 data_cost: 0.0017 ips: 38.3214 images/s
[07/28 02:28:59] ppdet.engine INFO: Epoch: [142] [100/732] learning_rate: 0.101388 loss_vfl: 1.159099 loss_bbox: 0.603079 loss_dfl: 0.486644 loss: 2.202366 eta: 1 day, 11:51:45 batch_cost: 1.1195 data_cost: 0.0023 ips: 35.7307 images/s
[07/28 02:29:24] ppdet.engine INFO: Epoch: [142] [120/732] learning_rate: 0.101358 loss_vfl: 1.080673 loss_bbox: 0.556412 loss_dfl: 0.462659 loss: 2.094095 eta: 1 day, 11:51:21 batch_cost: 1.0291 data_cost: 0.0111 ips: 38.8701 images/s
[07/28 02:29:52] ppdet.engine INFO: Epoch: [142] [140/732] learning_rate: 0.101329 loss_vfl: 1.118118 loss_bbox: 0.567537 loss_dfl: 0.478589 loss: 2.171979 eta: 1 day, 11:50:59 batch_cost: 1.1623 data_cost: 0.0032 ips: 34.4131 images/s
[07/28 02:30:19] ppdet.engine INFO: Epoch: [142] [160/732] learning_rate: 0.101299 loss_vfl: 1.119229 loss_bbox: 0.569932 loss_dfl: 0.477540 loss: 2.154257 eta: 1 day, 11:50:38 batch_cost: 1.1408 data_cost: 0.0063 ips: 35.0621 images/s
[07/28 02:30:45] ppdet.engine INFO: Epoch: [142] [180/732] learning_rate: 0.101270 loss_vfl: 1.111514 loss_bbox: 0.582845 loss_dfl: 0.478872 loss: 2.168582 eta: 1 day, 11:50:13 batch_cost: 1.0392 data_cost: 0.0101 ips: 38.4924 images/s
[07/28 02:31:12] ppdet.engine INFO: Epoch: [142] [200/732] learning_rate: 0.101241 loss_vfl: 1.108169 loss_bbox: 0.575000 loss_dfl: 0.474481 loss: 2.150984 eta: 1 day, 11:49:52 batch_cost: 1.1603 data_cost: 0.0133 ips: 34.4750 images/s
[07/28 02:31:37] ppdet.engine INFO: Epoch: [142] [220/732] learning_rate: 0.101211 loss_vfl: 1.091063 loss_bbox: 0.561659 loss_dfl: 0.469292 loss: 2.128491 eta: 1 day, 11:49:29 batch_cost: 1.0790 data_cost: 0.0111 ips: 37.0718 images/s
[07/28 02:32:04] ppdet.engine INFO: Epoch: [142] [240/732] learning_rate: 0.101182 loss_vfl: 1.114200 loss_bbox: 0.591656 loss_dfl: 0.484938 loss: 2.191870 eta: 1 day, 11:49:06 batch_cost: 1.1129 data_cost: 0.0153 ips: 35.9432 images/s
[07/28 02:32:29] ppdet.engine INFO: Epoch: [142] [260/732] learning_rate: 0.101153 loss_vfl: 1.063924 loss_bbox: 0.527505 loss_dfl: 0.447095 loss: 2.048905 eta: 1 day, 11:48:44 batch_cost: 1.1030 data_cost: 0.0078 ips: 36.2634 images/s
[07/28 02:32:55] ppdet.engine INFO: Epoch: [142] [280/732] learning_rate: 0.101123 loss_vfl: 1.079577 loss_bbox: 0.564464 loss_dfl: 0.470279 loss: 2.121240 eta: 1 day, 11:48:20 batch_cost: 1.0365 data_cost: 0.0300 ips: 38.5909 images/s
[07/28 02:33:19] ppdet.engine INFO: Epoch: [142] [300/732] learning_rate: 0.101094 loss_vfl: 1.082136 loss_bbox: 0.550897 loss_dfl: 0.457415 loss: 2.099802 eta: 1 day, 11:47:55 batch_cost: 1.0015 data_cost: 0.0011 ips: 39.9387 images/s
[07/28 02:33:45] ppdet.engine INFO: Epoch: [142] [320/732] learning_rate: 0.101064 loss_vfl: 1.063513 loss_bbox: 0.545617 loss_dfl: 0.450454 loss: 2.074803 eta: 1 day, 11:47:32 batch_cost: 1.0818 data_cost: 0.0152 ips: 36.9768 images/s
[07/28 02:34:11] ppdet.engine INFO: Epoch: [142] [340/732] learning_rate: 0.101035 loss_vfl: 1.077397 loss_bbox: 0.555259 loss_dfl: 0.466225 loss: 2.111615 eta: 1 day, 11:47:10 batch_cost: 1.1389 data_cost: 0.0061 ips: 35.1211 images/s
[07/28 02:34:39] ppdet.engine INFO: Epoch: [142] [360/732] learning_rate: 0.101006 loss_vfl: 1.140367 loss_bbox: 0.570791 loss_dfl: 0.482968 loss: 2.197951 eta: 1 day, 11:46:48 batch_cost: 1.1356 data_cost: 0.0105 ips: 35.2248 images/s
[07/28 02:35:05] ppdet.engine INFO: Epoch: [142] [380/732] learning_rate: 0.100976 loss_vfl: 1.167715 loss_bbox: 0.579543 loss_dfl: 0.490833 loss: 2.248646 eta: 1 day, 11:46:23 batch_cost: 1.0264 data_cost: 0.0108 ips: 38.9722 images/s
[07/28 02:35:32] ppdet.engine INFO: Epoch: [142] [400/732] learning_rate: 0.100947 loss_vfl: 1.118562 loss_bbox: 0.574360 loss_dfl: 0.483837 loss: 2.182505 eta: 1 day, 11:46:00 batch_cost: 1.0498 data_cost: 0.0093 ips: 38.1040 images/s
[07/28 02:35:57] ppdet.engine INFO: Epoch: [142] [420/732] learning_rate: 0.100917 loss_vfl: 1.071297 loss_bbox: 0.580620 loss_dfl: 0.469640 loss: 2.117676 eta: 1 day, 11:45:35 batch_cost: 1.0035 data_cost: 0.0053 ips: 39.8619 images/s
[07/28 02:36:24] ppdet.engine INFO: Epoch: [142] [440/732] learning_rate: 0.100888 loss_vfl: 1.110685 loss_bbox: 0.586683 loss_dfl: 0.476467 loss: 2.182385 eta: 1 day, 11:45:12 batch_cost: 1.0794 data_cost: 0.0076 ips: 37.0581 images/s
[07/28 02:36:51] ppdet.engine INFO: Epoch: [142] [460/732] learning_rate: 0.100859 loss_vfl: 1.101913 loss_bbox: 0.549782 loss_dfl: 0.467841 loss: 2.130600 eta: 1 day, 11:44:50 batch_cost: 1.1674 data_cost: 0.0053 ips: 34.2652 images/s
[07/28 02:37:18] ppdet.engine INFO: Epoch: [142] [480/732] learning_rate: 0.100829 loss_vfl: 1.065135 loss_bbox: 0.544269 loss_dfl: 0.451307 loss: 2.057256 eta: 1 day, 11:44:26 batch_cost: 1.0277 data_cost: 0.0092 ips: 38.9210 images/s
[07/28 02:37:45] ppdet.engine INFO: Epoch: [142] [500/732] learning_rate: 0.100800 loss_vfl: 1.150547 loss_bbox: 0.573439 loss_dfl: 0.494934 loss: 2.239674 eta: 1 day, 11:44:03 batch_cost: 1.0662 data_cost: 0.0115 ips: 37.5153 images/s
[07/28 02:38:11] ppdet.engine INFO: Epoch: [142] [520/732] learning_rate: 0.100771 loss_vfl: 1.145126 loss_bbox: 0.587343 loss_dfl: 0.485750 loss: 2.226318 eta: 1 day, 11:43:40 batch_cost: 1.0994 data_cost: 0.0849 ips: 36.3836 images/s
[07/28 02:38:37] ppdet.engine INFO: Epoch: [142] [540/732] learning_rate: 0.100741 loss_vfl: 1.077674 loss_bbox: 0.559286 loss_dfl: 0.460016 loss: 2.101100 eta: 1 day, 11:43:17 batch_cost: 1.0849 data_cost: 0.1481 ips: 36.8698 images/s
[07/28 02:39:03] ppdet.engine INFO: Epoch: [142] [560/732] learning_rate: 0.100712 loss_vfl: 1.085734 loss_bbox: 0.568574 loss_dfl: 0.468240 loss: 2.130205 eta: 1 day, 11:42:51 batch_cost: 0.9599 data_cost: 0.0648 ips: 41.6723 images/s
[07/28 02:39:32] ppdet.engine INFO: Epoch: [142] [580/732] learning_rate: 0.100682 loss_vfl: 1.065557 loss_bbox: 0.537484 loss_dfl: 0.452328 loss: 2.046948 eta: 1 day, 11:42:32 batch_cost: 1.2478 data_cost: 0.1620 ips: 32.0576 images/s
[07/28 02:39:59] ppdet.engine INFO: Epoch: [142] [600/732] learning_rate: 0.100653 loss_vfl: 1.086493 loss_bbox: 0.548759 loss_dfl: 0.465487 loss: 2.120513 eta: 1 day, 11:42:09 batch_cost: 1.1168 data_cost: 0.0081 ips: 35.8165 images/s
[07/28 02:40:23] ppdet.engine INFO: Epoch: [142] [620/732] learning_rate: 0.100624 loss_vfl: 1.118288 loss_bbox: 0.577308 loss_dfl: 0.484494 loss: 2.183977 eta: 1 day, 11:41:43 batch_cost: 0.9322 data_cost: 0.0028 ips: 42.9078 images/s
[07/28 02:40:49] ppdet.engine INFO: Epoch: [142] [640/732] learning_rate: 0.100594 loss_vfl: 1.119793 loss_bbox: 0.575896 loss_dfl: 0.471167 loss: 2.154856 eta: 1 day, 11:41:20 batch_cost: 1.0800 data_cost: 0.0029 ips: 37.0382 images/s
[07/28 02:41:16] ppdet.engine INFO: Epoch: [142] [660/732] learning_rate: 0.100565 loss_vfl: 1.074306 loss_bbox: 0.542764 loss_dfl: 0.457376 loss: 2.070212 eta: 1 day, 11:40:58 batch_cost: 1.1322 data_cost: 0.0048 ips: 35.3300 images/s
[07/28 02:41:41] ppdet.engine INFO: Epoch: [142] [680/732] learning_rate: 0.100536 loss_vfl: 1.123943 loss_bbox: 0.591112 loss_dfl: 0.494292 loss: 2.185853 eta: 1 day, 11:40:34 batch_cost: 1.0488 data_cost: 0.0061 ips: 38.1388 images/s
[07/28 02:42:09] ppdet.engine INFO: Epoch: [142] [700/732] learning_rate: 0.100506 loss_vfl: 1.113363 loss_bbox: 0.572547 loss_dfl: 0.471906 loss: 2.147842 eta: 1 day, 11:40:12 batch_cost: 1.1603 data_cost: 0.0130 ips: 34.4745 images/s
[07/28 02:42:35] ppdet.engine INFO: Epoch: [142] [720/732] learning_rate: 0.100477 loss_vfl: 1.161824 loss_bbox: 0.603547 loss_dfl: 0.495785 loss: 2.279326 eta: 1 day, 11:39:49 batch_cost: 1.0683 data_cost: 0.0079 ips: 37.4438 images/s
[07/28 02:42:57] ppdet.engine INFO: Epoch: [143] [  0/732] learning_rate: 0.100459 loss_vfl: 1.066577 loss_bbox: 0.579848 loss_dfl: 0.469609 loss: 2.106342 eta: 1 day, 11:39:43 batch_cost: 1.4580 data_cost: 0.5128 ips: 27.4341 images/s
[07/28 02:43:24] ppdet.engine INFO: Epoch: [143] [ 20/732] learning_rate: 0.100430 loss_vfl: 1.121046 loss_bbox: 0.573656 loss_dfl: 0.478598 loss: 2.177060 eta: 1 day, 11:39:20 batch_cost: 1.0944 data_cost: 0.0053 ips: 36.5495 images/s
[07/28 02:43:52] ppdet.engine INFO: Epoch: [143] [ 40/732] learning_rate: 0.100401 loss_vfl: 1.068498 loss_bbox: 0.541950 loss_dfl: 0.449116 loss: 2.048400 eta: 1 day, 11:38:57 batch_cost: 1.1151 data_cost: 0.0072 ips: 35.8719 images/s
[07/28 02:44:17] ppdet.engine INFO: Epoch: [143] [ 60/732] learning_rate: 0.100371 loss_vfl: 1.123672 loss_bbox: 0.564322 loss_dfl: 0.463939 loss: 2.147567 eta: 1 day, 11:38:33 batch_cost: 1.0230 data_cost: 0.0021 ips: 39.0999 images/s
[07/28 02:44:46] ppdet.engine INFO: Epoch: [143] [ 80/732] learning_rate: 0.100342 loss_vfl: 1.072321 loss_bbox: 0.544739 loss_dfl: 0.460670 loss: 2.084661 eta: 1 day, 11:38:13 batch_cost: 1.2315 data_cost: 0.0071 ips: 32.4807 images/s
[07/28 02:45:12] ppdet.engine INFO: Epoch: [143] [100/732] learning_rate: 0.100312 loss_vfl: 1.086265 loss_bbox: 0.553228 loss_dfl: 0.461752 loss: 2.103419 eta: 1 day, 11:37:49 batch_cost: 1.0506 data_cost: 0.0089 ips: 38.0733 images/s
[07/28 02:45:39] ppdet.engine INFO: Epoch: [143] [120/732] learning_rate: 0.100283 loss_vfl: 1.140491 loss_bbox: 0.581568 loss_dfl: 0.480865 loss: 2.199502 eta: 1 day, 11:37:25 batch_cost: 1.0148 data_cost: 0.0051 ips: 39.4184 images/s
[07/28 02:46:04] ppdet.engine INFO: Epoch: [143] [140/732] learning_rate: 0.100254 loss_vfl: 1.075509 loss_bbox: 0.558266 loss_dfl: 0.461161 loss: 2.106938 eta: 1 day, 11:36:59 batch_cost: 0.9624 data_cost: 0.0052 ips: 41.5632 images/s
[07/28 02:46:32] ppdet.engine INFO: Epoch: [143] [160/732] learning_rate: 0.100224 loss_vfl: 1.074861 loss_bbox: 0.548134 loss_dfl: 0.455363 loss: 2.066411 eta: 1 day, 11:36:38 batch_cost: 1.1534 data_cost: 0.0020 ips: 34.6815 images/s
[07/28 02:46:58] ppdet.engine INFO: Epoch: [143] [180/732] learning_rate: 0.100195 loss_vfl: 1.095044 loss_bbox: 0.571869 loss_dfl: 0.473143 loss: 2.128969 eta: 1 day, 11:36:14 batch_cost: 1.0730 data_cost: 0.0037 ips: 37.2785 images/s
[07/28 02:47:24] ppdet.engine INFO: Epoch: [143] [200/732] learning_rate: 0.100166 loss_vfl: 1.104263 loss_bbox: 0.564033 loss_dfl: 0.472044 loss: 2.147189 eta: 1 day, 11:35:50 batch_cost: 1.0194 data_cost: 0.0131 ips: 39.2387 images/s
[07/28 02:47:50] ppdet.engine INFO: Epoch: [143] [220/732] learning_rate: 0.100136 loss_vfl: 1.113577 loss_bbox: 0.573658 loss_dfl: 0.485804 loss: 2.172888 eta: 1 day, 11:35:27 batch_cost: 1.0895 data_cost: 0.0147 ips: 36.7157 images/s
[07/28 02:48:15] ppdet.engine INFO: Epoch: [143] [240/732] learning_rate: 0.100107 loss_vfl: 1.139019 loss_bbox: 0.582366 loss_dfl: 0.489423 loss: 2.227565 eta: 1 day, 11:35:01 batch_cost: 0.9748 data_cost: 0.0076 ips: 41.0355 images/s
[07/28 02:48:43] ppdet.engine INFO: Epoch: [143] [260/732] learning_rate: 0.100078 loss_vfl: 1.110564 loss_bbox: 0.579372 loss_dfl: 0.486819 loss: 2.190930 eta: 1 day, 11:34:41 batch_cost: 1.1879 data_cost: 0.0043 ips: 33.6730 images/s
[07/28 02:49:09] ppdet.engine INFO: Epoch: [143] [280/732] learning_rate: 0.100048 loss_vfl: 1.128139 loss_bbox: 0.600986 loss_dfl: 0.492559 loss: 2.210291 eta: 1 day, 11:34:16 batch_cost: 1.0174 data_cost: 0.0030 ips: 39.3169 images/s
[07/28 02:49:35] ppdet.engine INFO: Epoch: [143] [300/732] learning_rate: 0.100019 loss_vfl: 1.113471 loss_bbox: 0.572208 loss_dfl: 0.474420 loss: 2.150574 eta: 1 day, 11:33:51 batch_cost: 1.0070 data_cost: 0.0112 ips: 39.7217 images/s
[07/28 02:49:59] ppdet.engine INFO: Epoch: [143] [320/732] learning_rate: 0.099989 loss_vfl: 1.116748 loss_bbox: 0.587781 loss_dfl: 0.476894 loss: 2.160669 eta: 1 day, 11:33:25 batch_cost: 0.9567 data_cost: 0.0035 ips: 41.8110 images/s
[07/28 02:50:27] ppdet.engine INFO: Epoch: [143] [340/732] learning_rate: 0.099960 loss_vfl: 1.068634 loss_bbox: 0.570664 loss_dfl: 0.465380 loss: 2.120168 eta: 1 day, 11:33:03 batch_cost: 1.1334 data_cost: 0.0048 ips: 35.2922 images/s
[07/28 02:50:52] ppdet.engine INFO: Epoch: [143] [360/732] learning_rate: 0.099931 loss_vfl: 1.135188 loss_bbox: 0.583397 loss_dfl: 0.486786 loss: 2.186378 eta: 1 day, 11:32:39 batch_cost: 1.0142 data_cost: 0.0060 ips: 39.4386 images/s
[07/28 02:51:18] ppdet.engine INFO: Epoch: [143] [380/732] learning_rate: 0.099901 loss_vfl: 1.090966 loss_bbox: 0.573377 loss_dfl: 0.476270 loss: 2.154139 eta: 1 day, 11:32:15 batch_cost: 1.0439 data_cost: 0.0053 ips: 38.3197 images/s
[07/28 02:51:44] ppdet.engine INFO: Epoch: [143] [400/732] learning_rate: 0.099872 loss_vfl: 1.110222 loss_bbox: 0.576912 loss_dfl: 0.480568 loss: 2.183730 eta: 1 day, 11:31:52 batch_cost: 1.0850 data_cost: 0.0147 ips: 36.8675 images/s
[07/28 02:52:11] ppdet.engine INFO: Epoch: [143] [420/732] learning_rate: 0.099843 loss_vfl: 1.077918 loss_bbox: 0.559774 loss_dfl: 0.469556 loss: 2.117254 eta: 1 day, 11:31:30 batch_cost: 1.1418 data_cost: 0.0071 ips: 35.0312 images/s
[07/28 02:52:39] ppdet.engine INFO: Epoch: [143] [440/732] learning_rate: 0.099813 loss_vfl: 1.115898 loss_bbox: 0.564997 loss_dfl: 0.477859 loss: 2.155061 eta: 1 day, 11:31:10 batch_cost: 1.2289 data_cost: 0.0083 ips: 32.5503 images/s
[07/28 02:53:05] ppdet.engine INFO: Epoch: [143] [460/732] learning_rate: 0.099784 loss_vfl: 1.087170 loss_bbox: 0.546733 loss_dfl: 0.464817 loss: 2.104719 eta: 1 day, 11:30:48 batch_cost: 1.1152 data_cost: 0.0021 ips: 35.8684 images/s
[07/28 02:53:29] ppdet.engine INFO: Epoch: [143] [480/732] learning_rate: 0.099755 loss_vfl: 1.181187 loss_bbox: 0.586243 loss_dfl: 0.486389 loss: 2.254631 eta: 1 day, 11:30:23 batch_cost: 0.9864 data_cost: 0.0054 ips: 40.5527 images/s
[07/28 02:53:56] ppdet.engine INFO: Epoch: [143] [500/732] learning_rate: 0.099725 loss_vfl: 1.085363 loss_bbox: 0.567108 loss_dfl: 0.467800 loss: 2.117339 eta: 1 day, 11:30:01 batch_cost: 1.1651 data_cost: 0.0737 ips: 34.3307 images/s
[07/28 02:54:24] ppdet.engine INFO: Epoch: [143] [520/732] learning_rate: 0.099696 loss_vfl: 1.103317 loss_bbox: 0.553109 loss_dfl: 0.462339 loss: 2.118050 eta: 1 day, 11:29:40 batch_cost: 1.1742 data_cost: 0.1249 ips: 34.0648 images/s
[07/28 02:54:49] ppdet.engine INFO: Epoch: [143] [540/732] learning_rate: 0.099667 loss_vfl: 1.121777 loss_bbox: 0.564619 loss_dfl: 0.471218 loss: 2.136348 eta: 1 day, 11:29:15 batch_cost: 0.9957 data_cost: 0.0108 ips: 40.1713 images/s
[07/28 02:55:16] ppdet.engine INFO: Epoch: [143] [560/732] learning_rate: 0.099637 loss_vfl: 1.084180 loss_bbox: 0.529533 loss_dfl: 0.460132 loss: 2.084381 eta: 1 day, 11:28:52 batch_cost: 1.0529 data_cost: 0.0069 ips: 37.9896 images/s
[07/28 02:55:43] ppdet.engine INFO: Epoch: [143] [580/732] learning_rate: 0.099608 loss_vfl: 1.086648 loss_bbox: 0.553562 loss_dfl: 0.462060 loss: 2.087361 eta: 1 day, 11:28:28 batch_cost: 1.0783 data_cost: 0.0129 ips: 37.0961 images/s
[07/28 02:56:11] ppdet.engine INFO: Epoch: [143] [600/732] learning_rate: 0.099579 loss_vfl: 1.056071 loss_bbox: 0.541326 loss_dfl: 0.452599 loss: 2.061201 eta: 1 day, 11:28:07 batch_cost: 1.1572 data_cost: 0.0070 ips: 34.5656 images/s
[07/28 02:56:37] ppdet.engine INFO: Epoch: [143] [620/732] learning_rate: 0.099549 loss_vfl: 1.120616 loss_bbox: 0.578008 loss_dfl: 0.484389 loss: 2.164501 eta: 1 day, 11:27:44 batch_cost: 1.0955 data_cost: 0.0114 ips: 36.5147 images/s
[07/28 02:57:04] ppdet.engine INFO: Epoch: [143] [640/732] learning_rate: 0.099520 loss_vfl: 1.068186 loss_bbox: 0.537004 loss_dfl: 0.446907 loss: 2.049386 eta: 1 day, 11:27:23 batch_cost: 1.1643 data_cost: 0.0042 ips: 34.3545 images/s
[07/28 02:57:29] ppdet.engine INFO: Epoch: [143] [660/732] learning_rate: 0.099491 loss_vfl: 1.073700 loss_bbox: 0.529020 loss_dfl: 0.453996 loss: 2.045855 eta: 1 day, 11:26:58 batch_cost: 0.9980 data_cost: 0.0042 ips: 40.0800 images/s
[07/28 02:57:56] ppdet.engine INFO: Epoch: [143] [680/732] learning_rate: 0.099461 loss_vfl: 1.077469 loss_bbox: 0.566220 loss_dfl: 0.472856 loss: 2.110110 eta: 1 day, 11:26:34 batch_cost: 1.0393 data_cost: 0.0123 ips: 38.4877 images/s
[07/28 02:58:23] ppdet.engine INFO: Epoch: [143] [700/732] learning_rate: 0.099432 loss_vfl: 1.098456 loss_bbox: 0.573259 loss_dfl: 0.474762 loss: 2.150070 eta: 1 day, 11:26:11 batch_cost: 1.0985 data_cost: 0.0025 ips: 36.4126 images/s
[07/28 02:58:52] ppdet.engine INFO: Epoch: [143] [720/732] learning_rate: 0.099403 loss_vfl: 1.101460 loss_bbox: 0.569419 loss_dfl: 0.471349 loss: 2.142228 eta: 1 day, 11:25:53 batch_cost: 1.2980 data_cost: 0.0063 ips: 30.8163 images/s
[07/28 02:59:15] ppdet.engine INFO: Epoch: [144] [  0/732] learning_rate: 0.099385 loss_vfl: 1.159616 loss_bbox: 0.587489 loss_dfl: 0.502472 loss: 2.263905 eta: 1 day, 11:25:47 batch_cost: 1.4126 data_cost: 0.3590 ips: 28.3166 images/s
[07/28 02:59:43] ppdet.engine INFO: Epoch: [144] [ 20/732] learning_rate: 0.099356 loss_vfl: 1.053031 loss_bbox: 0.547078 loss_dfl: 0.453051 loss: 2.034355 eta: 1 day, 11:25:23 batch_cost: 1.0839 data_cost: 0.0100 ips: 36.9022 images/s
[07/28 03:00:08] ppdet.engine INFO: Epoch: [144] [ 40/732] learning_rate: 0.099326 loss_vfl: 1.072792 loss_bbox: 0.557924 loss_dfl: 0.454697 loss: 2.070576 eta: 1 day, 11:25:00 batch_cost: 1.0566 data_cost: 0.0029 ips: 37.8586 images/s
[07/28 03:00:37] ppdet.engine INFO: Epoch: [144] [ 60/732] learning_rate: 0.099297 loss_vfl: 1.048419 loss_bbox: 0.545073 loss_dfl: 0.453093 loss: 2.043552 eta: 1 day, 11:24:39 batch_cost: 1.1929 data_cost: 0.0095 ips: 33.5330 images/s
[07/28 03:01:05] ppdet.engine INFO: Epoch: [144] [ 80/732] learning_rate: 0.099268 loss_vfl: 1.141036 loss_bbox: 0.587626 loss_dfl: 0.477667 loss: 2.200451 eta: 1 day, 11:24:16 batch_cost: 1.0824 data_cost: 0.0069 ips: 36.9551 images/s
[07/28 03:01:30] ppdet.engine INFO: Epoch: [144] [100/732] learning_rate: 0.099238 loss_vfl: 1.101747 loss_bbox: 0.565129 loss_dfl: 0.476192 loss: 2.134637 eta: 1 day, 11:23:52 batch_cost: 1.0446 data_cost: 0.0037 ips: 38.2922 images/s
[07/28 03:01:58] ppdet.engine INFO: Epoch: [144] [120/732] learning_rate: 0.099209 loss_vfl: 1.090253 loss_bbox: 0.568354 loss_dfl: 0.472677 loss: 2.133193 eta: 1 day, 11:23:28 batch_cost: 1.0276 data_cost: 0.0110 ips: 38.9241 images/s
[07/28 03:02:25] ppdet.engine INFO: Epoch: [144] [140/732] learning_rate: 0.099180 loss_vfl: 1.130055 loss_bbox: 0.582508 loss_dfl: 0.496590 loss: 2.191298 eta: 1 day, 11:23:05 batch_cost: 1.1045 data_cost: 0.0080 ips: 36.2143 images/s
[07/28 03:02:51] ppdet.engine INFO: Epoch: [144] [160/732] learning_rate: 0.099150 loss_vfl: 1.120033 loss_bbox: 0.582005 loss_dfl: 0.482244 loss: 2.168406 eta: 1 day, 11:22:42 batch_cost: 1.0805 data_cost: 0.0027 ips: 37.0195 images/s
[07/28 03:03:13] ppdet.engine INFO: Epoch: [144] [180/732] learning_rate: 0.099121 loss_vfl: 1.119197 loss_bbox: 0.597670 loss_dfl: 0.487841 loss: 2.187176 eta: 1 day, 11:22:15 batch_cost: 0.8888 data_cost: 0.0031 ips: 45.0036 images/s
[07/28 03:03:42] ppdet.engine INFO: Epoch: [144] [200/732] learning_rate: 0.099092 loss_vfl: 1.156682 loss_bbox: 0.596037 loss_dfl: 0.490990 loss: 2.244685 eta: 1 day, 11:21:54 batch_cost: 1.1624 data_cost: 0.0048 ips: 34.4106 images/s
[07/28 03:04:06] ppdet.engine INFO: Epoch: [144] [220/732] learning_rate: 0.099062 loss_vfl: 1.079785 loss_bbox: 0.552274 loss_dfl: 0.471373 loss: 2.145750 eta: 1 day, 11:21:28 batch_cost: 0.9880 data_cost: 0.0141 ips: 40.4839 images/s
[07/28 03:04:34] ppdet.engine INFO: Epoch: [144] [240/732] learning_rate: 0.099033 loss_vfl: 1.115521 loss_bbox: 0.576545 loss_dfl: 0.480086 loss: 2.168322 eta: 1 day, 11:21:05 batch_cost: 1.0853 data_cost: 0.0136 ips: 36.8563 images/s
[07/28 03:04:59] ppdet.engine INFO: Epoch: [144] [260/732] learning_rate: 0.099004 loss_vfl: 1.118400 loss_bbox: 0.573498 loss_dfl: 0.481887 loss: 2.179334 eta: 1 day, 11:20:40 batch_cost: 0.9696 data_cost: 0.0088 ips: 41.2552 images/s
[07/28 03:05:27] ppdet.engine INFO: Epoch: [144] [280/732] learning_rate: 0.098974 loss_vfl: 1.173718 loss_bbox: 0.607408 loss_dfl: 0.505502 loss: 2.269564 eta: 1 day, 11:20:20 batch_cost: 1.2259 data_cost: 0.0039 ips: 32.6282 images/s
[07/28 03:05:53] ppdet.engine INFO: Epoch: [144] [300/732] learning_rate: 0.098945 loss_vfl: 1.054730 loss_bbox: 0.566651 loss_dfl: 0.461810 loss: 2.093234 eta: 1 day, 11:19:55 batch_cost: 1.0210 data_cost: 0.0234 ips: 39.1770 images/s
[07/28 03:06:20] ppdet.engine INFO: Epoch: [144] [320/732] learning_rate: 0.098916 loss_vfl: 1.091232 loss_bbox: 0.551330 loss_dfl: 0.464012 loss: 2.110787 eta: 1 day, 11:19:31 batch_cost: 1.0356 data_cost: 0.0079 ips: 38.6265 images/s
[07/28 03:06:46] ppdet.engine INFO: Epoch: [144] [340/732] learning_rate: 0.098886 loss_vfl: 1.079190 loss_bbox: 0.558802 loss_dfl: 0.467299 loss: 2.082379 eta: 1 day, 11:19:09 batch_cost: 1.1113 data_cost: 0.0093 ips: 35.9941 images/s
[07/28 03:07:10] ppdet.engine INFO: Epoch: [144] [360/732] learning_rate: 0.098857 loss_vfl: 1.091744 loss_bbox: 0.560189 loss_dfl: 0.467236 loss: 2.102707 eta: 1 day, 11:18:44 batch_cost: 0.9753 data_cost: 0.0081 ips: 41.0121 images/s
[07/28 03:07:36] ppdet.engine INFO: Epoch: [144] [380/732] learning_rate: 0.098828 loss_vfl: 1.111763 loss_bbox: 0.571257 loss_dfl: 0.470974 loss: 2.166890 eta: 1 day, 11:18:19 batch_cost: 1.0098 data_cost: 0.0097 ips: 39.6100 images/s
[07/28 03:08:01] ppdet.engine INFO: Epoch: [144] [400/732] learning_rate: 0.098798 loss_vfl: 1.109820 loss_bbox: 0.569589 loss_dfl: 0.471711 loss: 2.153940 eta: 1 day, 11:17:55 batch_cost: 1.0531 data_cost: 0.0273 ips: 37.9821 images/s
[07/28 03:08:26] ppdet.engine INFO: Epoch: [144] [420/732] learning_rate: 0.098769 loss_vfl: 1.052076 loss_bbox: 0.550962 loss_dfl: 0.451681 loss: 2.041654 eta: 1 day, 11:17:29 batch_cost: 0.9439 data_cost: 0.0130 ips: 42.3757 images/s
[07/28 03:08:52] ppdet.engine INFO: Epoch: [144] [440/732] learning_rate: 0.098740 loss_vfl: 1.088823 loss_bbox: 0.567044 loss_dfl: 0.473792 loss: 2.119847 eta: 1 day, 11:17:05 batch_cost: 1.0369 data_cost: 0.0069 ips: 38.5783 images/s
[07/28 03:09:18] ppdet.engine INFO: Epoch: [144] [460/732] learning_rate: 0.098710 loss_vfl: 1.072137 loss_bbox: 0.572512 loss_dfl: 0.460122 loss: 2.105500 eta: 1 day, 11:16:41 batch_cost: 1.0383 data_cost: 0.0066 ips: 38.5253 images/s
[07/28 03:09:45] ppdet.engine INFO: Epoch: [144] [480/732] learning_rate: 0.098681 loss_vfl: 1.118464 loss_bbox: 0.586739 loss_dfl: 0.486745 loss: 2.189167 eta: 1 day, 11:16:18 batch_cost: 1.0684 data_cost: 0.0043 ips: 37.4407 images/s
[07/28 03:10:12] ppdet.engine INFO: Epoch: [144] [500/732] learning_rate: 0.098652 loss_vfl: 1.071355 loss_bbox: 0.557994 loss_dfl: 0.452271 loss: 2.073494 eta: 1 day, 11:15:55 batch_cost: 1.1081 data_cost: 0.0030 ips: 36.0971 images/s
[07/28 03:10:38] ppdet.engine INFO: Epoch: [144] [520/732] learning_rate: 0.098623 loss_vfl: 1.070906 loss_bbox: 0.570825 loss_dfl: 0.468579 loss: 2.108567 eta: 1 day, 11:15:32 batch_cost: 1.0537 data_cost: 0.0087 ips: 37.9629 images/s
[07/28 03:11:04] ppdet.engine INFO: Epoch: [144] [540/732] learning_rate: 0.098593 loss_vfl: 1.116408 loss_bbox: 0.574766 loss_dfl: 0.469320 loss: 2.163026 eta: 1 day, 11:15:08 batch_cost: 1.0399 data_cost: 0.0068 ips: 38.4671 images/s
[07/28 03:11:31] ppdet.engine INFO: Epoch: [144] [560/732] learning_rate: 0.098564 loss_vfl: 1.094383 loss_bbox: 0.556213 loss_dfl: 0.463140 loss: 2.126203 eta: 1 day, 11:14:46 batch_cost: 1.1509 data_cost: 0.0079 ips: 34.7545 images/s
[07/28 03:11:57] ppdet.engine INFO: Epoch: [144] [580/732] learning_rate: 0.098535 loss_vfl: 1.074584 loss_bbox: 0.539539 loss_dfl: 0.453463 loss: 2.066941 eta: 1 day, 11:14:24 batch_cost: 1.1129 data_cost: 0.0060 ips: 35.9437 images/s
[07/28 03:12:25] ppdet.engine INFO: Epoch: [144] [600/732] learning_rate: 0.098505 loss_vfl: 1.121701 loss_bbox: 0.585671 loss_dfl: 0.479616 loss: 2.168391 eta: 1 day, 11:14:02 batch_cost: 1.1692 data_cost: 0.0194 ips: 34.2105 images/s
[07/28 03:12:51] ppdet.engine INFO: Epoch: [144] [620/732] learning_rate: 0.098476 loss_vfl: 1.100312 loss_bbox: 0.558752 loss_dfl: 0.463004 loss: 2.123380 eta: 1 day, 11:13:39 batch_cost: 1.0577 data_cost: 0.0120 ips: 37.8178 images/s
[07/28 03:13:18] ppdet.engine INFO: Epoch: [144] [640/732] learning_rate: 0.098447 loss_vfl: 1.095910 loss_bbox: 0.586656 loss_dfl: 0.480200 loss: 2.175281 eta: 1 day, 11:13:15 batch_cost: 1.0622 data_cost: 0.0082 ips: 37.6580 images/s
[07/28 03:13:46] ppdet.engine INFO: Epoch: [144] [660/732] learning_rate: 0.098417 loss_vfl: 1.056808 loss_bbox: 0.546064 loss_dfl: 0.456842 loss: 2.046470 eta: 1 day, 11:12:55 batch_cost: 1.2040 data_cost: 0.0059 ips: 33.2231 images/s
[07/28 03:14:11] ppdet.engine INFO: Epoch: [144] [680/732] learning_rate: 0.098388 loss_vfl: 1.056811 loss_bbox: 0.547324 loss_dfl: 0.454296 loss: 2.049996 eta: 1 day, 11:12:31 batch_cost: 1.0405 data_cost: 0.0063 ips: 38.4417 images/s
[07/28 03:14:39] ppdet.engine INFO: Epoch: [144] [700/732] learning_rate: 0.098359 loss_vfl: 1.062539 loss_bbox: 0.564282 loss_dfl: 0.464522 loss: 2.087955 eta: 1 day, 11:12:10 batch_cost: 1.1958 data_cost: 0.0065 ips: 33.4514 images/s
[07/28 03:15:06] ppdet.engine INFO: Epoch: [144] [720/732] learning_rate: 0.098329 loss_vfl: 1.112138 loss_bbox: 0.574243 loss_dfl: 0.486824 loss: 2.185519 eta: 1 day, 11:11:48 batch_cost: 1.1250 data_cost: 0.0076 ips: 35.5557 images/s
[07/28 03:15:28] ppdet.engine INFO: Epoch: [145] [  0/732] learning_rate: 0.098312 loss_vfl: 1.089958 loss_bbox: 0.557691 loss_dfl: 0.464147 loss: 2.101868 eta: 1 day, 11:11:40 batch_cost: 1.4070 data_cost: 0.5038 ips: 28.4298 images/s
[07/28 03:15:58] ppdet.engine INFO: Epoch: [145] [ 20/732] learning_rate: 0.098283 loss_vfl: 1.126691 loss_bbox: 0.573729 loss_dfl: 0.481992 loss: 2.181186 eta: 1 day, 11:11:22 batch_cost: 1.2848 data_cost: 0.0066 ips: 31.1337 images/s
[07/28 03:16:24] ppdet.engine INFO: Epoch: [145] [ 40/732] learning_rate: 0.098253 loss_vfl: 1.060135 loss_bbox: 0.545037 loss_dfl: 0.454011 loss: 2.054385 eta: 1 day, 11:10:57 batch_cost: 1.0246 data_cost: 0.0090 ips: 39.0409 images/s
[07/28 03:16:53] ppdet.engine INFO: Epoch: [145] [ 60/732] learning_rate: 0.098224 loss_vfl: 1.087974 loss_bbox: 0.541828 loss_dfl: 0.458754 loss: 2.082432 eta: 1 day, 11:10:36 batch_cost: 1.1517 data_cost: 0.0030 ips: 34.7305 images/s
[07/28 03:17:20] ppdet.engine INFO: Epoch: [145] [ 80/732] learning_rate: 0.098195 loss_vfl: 1.099697 loss_bbox: 0.574963 loss_dfl: 0.472540 loss: 2.150897 eta: 1 day, 11:10:12 batch_cost: 1.0610 data_cost: 0.0031 ips: 37.7014 images/s
[07/28 03:17:48] ppdet.engine INFO: Epoch: [145] [100/732] learning_rate: 0.098165 loss_vfl: 1.128170 loss_bbox: 0.569991 loss_dfl: 0.473492 loss: 2.182350 eta: 1 day, 11:09:51 batch_cost: 1.1455 data_cost: 0.0114 ips: 34.9184 images/s
[07/28 03:18:13] ppdet.engine INFO: Epoch: [145] [120/732] learning_rate: 0.098136 loss_vfl: 1.100457 loss_bbox: 0.569986 loss_dfl: 0.478106 loss: 2.157822 eta: 1 day, 11:09:25 batch_cost: 0.9840 data_cost: 0.0233 ips: 40.6513 images/s
[07/28 03:18:41] ppdet.engine INFO: Epoch: [145] [140/732] learning_rate: 0.098107 loss_vfl: 1.131856 loss_bbox: 0.590145 loss_dfl: 0.482754 loss: 2.221869 eta: 1 day, 11:09:03 batch_cost: 1.1130 data_cost: 0.0195 ips: 35.9393 images/s
[07/28 03:19:09] ppdet.engine INFO: Epoch: [145] [160/732] learning_rate: 0.098077 loss_vfl: 1.077360 loss_bbox: 0.561605 loss_dfl: 0.466844 loss: 2.109385 eta: 1 day, 11:08:42 batch_cost: 1.1884 data_cost: 0.0051 ips: 33.6585 images/s
[07/28 03:19:34] ppdet.engine INFO: Epoch: [145] [180/732] learning_rate: 0.098048 loss_vfl: 1.166617 loss_bbox: 0.572562 loss_dfl: 0.494020 loss: 2.227479 eta: 1 day, 11:08:18 batch_cost: 1.0398 data_cost: 0.0082 ips: 38.4691 images/s
[07/28 03:20:02] ppdet.engine INFO: Epoch: [145] [200/732] learning_rate: 0.098019 loss_vfl: 1.097077 loss_bbox: 0.570582 loss_dfl: 0.480891 loss: 2.156710 eta: 1 day, 11:07:55 batch_cost: 1.0817 data_cost: 0.0072 ips: 36.9772 images/s
[07/28 03:20:28] ppdet.engine INFO: Epoch: [145] [220/732] learning_rate: 0.097990 loss_vfl: 1.068239 loss_bbox: 0.552723 loss_dfl: 0.469777 loss: 2.101315 eta: 1 day, 11:07:31 batch_cost: 1.0383 data_cost: 0.0058 ips: 38.5240 images/s
[07/28 03:20:54] ppdet.engine INFO: Epoch: [145] [240/732] learning_rate: 0.097960 loss_vfl: 1.143085 loss_bbox: 0.604909 loss_dfl: 0.498988 loss: 2.255700 eta: 1 day, 11:07:09 batch_cost: 1.1091 data_cost: 0.0033 ips: 36.0652 images/s
[07/28 03:21:22] ppdet.engine INFO: Epoch: [145] [260/732] learning_rate: 0.097931 loss_vfl: 1.097418 loss_bbox: 0.563035 loss_dfl: 0.471191 loss: 2.122208 eta: 1 day, 11:06:47 batch_cost: 1.1378 data_cost: 0.0089 ips: 35.1547 images/s
[07/28 03:21:49] ppdet.engine INFO: Epoch: [145] [280/732] learning_rate: 0.097902 loss_vfl: 1.067609 loss_bbox: 0.534662 loss_dfl: 0.446838 loss: 2.043639 eta: 1 day, 11:06:26 batch_cost: 1.1732 data_cost: 0.0033 ips: 34.0953 images/s
[07/28 03:22:14] ppdet.engine INFO: Epoch: [145] [300/732] learning_rate: 0.097872 loss_vfl: 1.159326 loss_bbox: 0.579338 loss_dfl: 0.494844 loss: 2.237462 eta: 1 day, 11:06:02 batch_cost: 1.0774 data_cost: 0.0035 ips: 37.1264 images/s
[07/28 03:22:42] ppdet.engine INFO: Epoch: [145] [320/732] learning_rate: 0.097843 loss_vfl: 1.094512 loss_bbox: 0.566425 loss_dfl: 0.458937 loss: 2.093019 eta: 1 day, 11:05:41 batch_cost: 1.1620 data_cost: 0.0097 ips: 34.4226 images/s
[07/28 03:23:09] ppdet.engine INFO: Epoch: [145] [340/732] learning_rate: 0.097814 loss_vfl: 1.092647 loss_bbox: 0.552697 loss_dfl: 0.476741 loss: 2.131957 eta: 1 day, 11:05:18 batch_cost: 1.0741 data_cost: 0.0129 ips: 37.2421 images/s
[07/28 03:23:35] ppdet.engine INFO: Epoch: [145] [360/732] learning_rate: 0.097785 loss_vfl: 1.115736 loss_bbox: 0.574972 loss_dfl: 0.479938 loss: 2.205637 eta: 1 day, 11:04:54 batch_cost: 1.0609 data_cost: 0.0056 ips: 37.7031 images/s
[07/28 03:24:02] ppdet.engine INFO: Epoch: [145] [380/732] learning_rate: 0.097755 loss_vfl: 1.096822 loss_bbox: 0.564590 loss_dfl: 0.466161 loss: 2.129813 eta: 1 day, 11:04:32 batch_cost: 1.1012 data_cost: 0.0027 ips: 36.3239 images/s
[07/28 03:24:27] ppdet.engine INFO: Epoch: [145] [400/732] learning_rate: 0.097726 loss_vfl: 1.101426 loss_bbox: 0.569661 loss_dfl: 0.471594 loss: 2.142073 eta: 1 day, 11:04:08 batch_cost: 1.0436 data_cost: 0.0035 ips: 38.3301 images/s
[07/28 03:24:55] ppdet.engine INFO: Epoch: [145] [420/732] learning_rate: 0.097697 loss_vfl: 1.103571 loss_bbox: 0.585250 loss_dfl: 0.478254 loss: 2.164412 eta: 1 day, 11:03:47 batch_cost: 1.1931 data_cost: 0.0053 ips: 33.5257 images/s
[07/28 03:25:21] ppdet.engine INFO: Epoch: [145] [440/732] learning_rate: 0.097667 loss_vfl: 1.142335 loss_bbox: 0.570731 loss_dfl: 0.480155 loss: 2.215138 eta: 1 day, 11:03:23 batch_cost: 1.0468 data_cost: 0.0064 ips: 38.2125 images/s
[07/28 03:25:47] ppdet.engine INFO: Epoch: [145] [460/732] learning_rate: 0.097638 loss_vfl: 1.138113 loss_bbox: 0.552800 loss_dfl: 0.470883 loss: 2.174505 eta: 1 day, 11:02:58 batch_cost: 0.9738 data_cost: 0.0054 ips: 41.0773 images/s
[07/28 03:26:13] ppdet.engine INFO: Epoch: [145] [480/732] learning_rate: 0.097609 loss_vfl: 1.080173 loss_bbox: 0.552759 loss_dfl: 0.466692 loss: 2.103821 eta: 1 day, 11:02:35 batch_cost: 1.1033 data_cost: 0.0051 ips: 36.2541 images/s
[07/28 03:26:38] ppdet.engine INFO: Epoch: [145] [500/732] learning_rate: 0.097580 loss_vfl: 1.114276 loss_bbox: 0.574363 loss_dfl: 0.484827 loss: 2.195477 eta: 1 day, 11:02:11 batch_cost: 1.0178 data_cost: 0.0099 ips: 39.3004 images/s
[07/28 03:27:05] ppdet.engine INFO: Epoch: [145] [520/732] learning_rate: 0.097550 loss_vfl: 1.115814 loss_bbox: 0.557468 loss_dfl: 0.467137 loss: 2.138124 eta: 1 day, 11:01:49 batch_cost: 1.1371 data_cost: 0.0082 ips: 35.1770 images/s
[07/28 03:27:31] ppdet.engine INFO: Epoch: [145] [540/732] learning_rate: 0.097521 loss_vfl: 1.089401 loss_bbox: 0.562748 loss_dfl: 0.474922 loss: 2.132174 eta: 1 day, 11:01:26 batch_cost: 1.1022 data_cost: 0.0029 ips: 36.2905 images/s
[07/28 03:27:56] ppdet.engine INFO: Epoch: [145] [560/732] learning_rate: 0.097492 loss_vfl: 1.121162 loss_bbox: 0.582869 loss_dfl: 0.492396 loss: 2.203503 eta: 1 day, 11:01:03 batch_cost: 1.0648 data_cost: 0.0040 ips: 37.5645 images/s
[07/28 03:28:23] ppdet.engine INFO: Epoch: [145] [580/732] learning_rate: 0.097463 loss_vfl: 1.128791 loss_bbox: 0.581075 loss_dfl: 0.490316 loss: 2.201747 eta: 1 day, 11:00:40 batch_cost: 1.1036 data_cost: 0.0220 ips: 36.2458 images/s
[07/28 03:28:50] ppdet.engine INFO: Epoch: [145] [600/732] learning_rate: 0.097433 loss_vfl: 1.092951 loss_bbox: 0.545093 loss_dfl: 0.465252 loss: 2.099529 eta: 1 day, 11:00:17 batch_cost: 1.0918 data_cost: 0.0063 ips: 36.6366 images/s
[07/28 03:29:16] ppdet.engine INFO: Epoch: [145] [620/732] learning_rate: 0.097404 loss_vfl: 1.139411 loss_bbox: 0.571678 loss_dfl: 0.470688 loss: 2.159353 eta: 1 day, 10:59:53 batch_cost: 1.0067 data_cost: 0.0074 ips: 39.7342 images/s
[07/28 03:29:42] ppdet.engine INFO: Epoch: [145] [640/732] learning_rate: 0.097375 loss_vfl: 1.064995 loss_bbox: 0.542374 loss_dfl: 0.447286 loss: 2.007370 eta: 1 day, 10:59:31 batch_cost: 1.1567 data_cost: 0.0082 ips: 34.5802 images/s
[07/28 03:30:09] ppdet.engine INFO: Epoch: [145] [660/732] learning_rate: 0.097345 loss_vfl: 1.036993 loss_bbox: 0.516584 loss_dfl: 0.440947 loss: 1.990654 eta: 1 day, 10:59:08 batch_cost: 1.0863 data_cost: 0.0102 ips: 36.8214 images/s
[07/28 03:30:35] ppdet.engine INFO: Epoch: [145] [680/732] learning_rate: 0.097316 loss_vfl: 1.127902 loss_bbox: 0.580688 loss_dfl: 0.479632 loss: 2.159308 eta: 1 day, 10:58:45 batch_cost: 1.0898 data_cost: 0.0095 ips: 36.7054 images/s
[07/28 03:31:01] ppdet.engine INFO: Epoch: [145] [700/732] learning_rate: 0.097287 loss_vfl: 1.129370 loss_bbox: 0.581807 loss_dfl: 0.488561 loss: 2.207206 eta: 1 day, 10:58:22 batch_cost: 1.0741 data_cost: 0.0117 ips: 37.2395 images/s
[07/28 03:31:26] ppdet.engine INFO: Epoch: [145] [720/732] learning_rate: 0.097258 loss_vfl: 1.113466 loss_bbox: 0.554076 loss_dfl: 0.471308 loss: 2.145469 eta: 1 day, 10:57:59 batch_cost: 1.0805 data_cost: 0.0053 ips: 37.0216 images/s
[07/28 03:31:47] ppdet.engine INFO: Epoch: [146] [  0/732] learning_rate: 0.097240 loss_vfl: 1.105219 loss_bbox: 0.543511 loss_dfl: 0.461140 loss: 2.097937 eta: 1 day, 10:57:51 batch_cost: 1.3169 data_cost: 0.4512 ips: 30.3742 images/s
[07/28 03:32:16] ppdet.engine INFO: Epoch: [146] [ 20/732] learning_rate: 0.097211 loss_vfl: 1.109223 loss_bbox: 0.579673 loss_dfl: 0.469369 loss: 2.158538 eta: 1 day, 10:57:31 batch_cost: 1.2549 data_cost: 0.0086 ips: 31.8747 images/s
[07/28 03:32:42] ppdet.engine INFO: Epoch: [146] [ 40/732] learning_rate: 0.097182 loss_vfl: 1.101437 loss_bbox: 0.560147 loss_dfl: 0.463671 loss: 2.117299 eta: 1 day, 10:57:09 batch_cost: 1.0914 data_cost: 0.0109 ips: 36.6488 images/s
[07/28 03:33:08] ppdet.engine INFO: Epoch: [146] [ 60/732] learning_rate: 0.097152 loss_vfl: 1.085771 loss_bbox: 0.565143 loss_dfl: 0.478338 loss: 2.148545 eta: 1 day, 10:56:46 batch_cost: 1.0835 data_cost: 0.0067 ips: 36.9188 images/s
[07/28 03:33:33] ppdet.engine INFO: Epoch: [146] [ 80/732] learning_rate: 0.097123 loss_vfl: 1.144596 loss_bbox: 0.589871 loss_dfl: 0.484417 loss: 2.214761 eta: 1 day, 10:56:21 batch_cost: 1.0142 data_cost: 0.0017 ips: 39.4417 images/s
[07/28 03:33:58] ppdet.engine INFO: Epoch: [146] [100/732] learning_rate: 0.097094 loss_vfl: 1.075371 loss_bbox: 0.553048 loss_dfl: 0.459461 loss: 2.073094 eta: 1 day, 10:55:57 batch_cost: 1.0577 data_cost: 0.0078 ips: 37.8175 images/s
[07/28 03:34:26] ppdet.engine INFO: Epoch: [146] [120/732] learning_rate: 0.097065 loss_vfl: 1.108557 loss_bbox: 0.576286 loss_dfl: 0.477810 loss: 2.150613 eta: 1 day, 10:55:36 batch_cost: 1.1767 data_cost: 0.0069 ips: 33.9921 images/s
[07/28 03:34:52] ppdet.engine INFO: Epoch: [146] [140/732] learning_rate: 0.097035 loss_vfl: 1.110941 loss_bbox: 0.563708 loss_dfl: 0.478560 loss: 2.137375 eta: 1 day, 10:55:15 batch_cost: 1.1511 data_cost: 0.0067 ips: 34.7502 images/s
[07/28 03:35:18] ppdet.engine INFO: Epoch: [146] [160/732] learning_rate: 0.097006 loss_vfl: 1.093535 loss_bbox: 0.576344 loss_dfl: 0.477980 loss: 2.162551 eta: 1 day, 10:54:52 batch_cost: 1.0940 data_cost: 0.0130 ips: 36.5618 images/s
[07/28 03:35:43] ppdet.engine INFO: Epoch: [146] [180/732] learning_rate: 0.096977 loss_vfl: 1.109428 loss_bbox: 0.566160 loss_dfl: 0.469227 loss: 2.133630 eta: 1 day, 10:54:27 batch_cost: 1.0089 data_cost: 0.0085 ips: 39.6471 images/s
[07/28 03:36:09] ppdet.engine INFO: Epoch: [146] [200/732] learning_rate: 0.096948 loss_vfl: 1.127072 loss_bbox: 0.586286 loss_dfl: 0.486706 loss: 2.186548 eta: 1 day, 10:54:04 batch_cost: 1.0628 data_cost: 0.0055 ips: 37.6371 images/s
[07/28 03:36:33] ppdet.engine INFO: Epoch: [146] [220/732] learning_rate: 0.096918 loss_vfl: 1.043177 loss_bbox: 0.538575 loss_dfl: 0.440264 loss: 2.009730 eta: 1 day, 10:53:39 batch_cost: 0.9939 data_cost: 0.0107 ips: 40.2456 images/s
[07/28 03:37:01] ppdet.engine INFO: Epoch: [146] [240/732] learning_rate: 0.096889 loss_vfl: 1.062291 loss_bbox: 0.533080 loss_dfl: 0.446796 loss: 2.024909 eta: 1 day, 10:53:15 batch_cost: 1.0383 data_cost: 0.0151 ips: 38.5258 images/s
[07/28 03:37:27] ppdet.engine INFO: Epoch: [146] [260/732] learning_rate: 0.096860 loss_vfl: 1.107053 loss_bbox: 0.555345 loss_dfl: 0.468140 loss: 2.127094 eta: 1 day, 10:52:54 batch_cost: 1.1756 data_cost: 0.0089 ips: 34.0265 images/s
[07/28 03:37:54] ppdet.engine INFO: Epoch: [146] [280/732] learning_rate: 0.096831 loss_vfl: 1.066330 loss_bbox: 0.561042 loss_dfl: 0.474225 loss: 2.122813 eta: 1 day, 10:52:33 batch_cost: 1.1664 data_cost: 0.0072 ips: 34.2923 images/s
[07/28 03:38:18] ppdet.engine INFO: Epoch: [146] [300/732] learning_rate: 0.096801 loss_vfl: 1.170699 loss_bbox: 0.582254 loss_dfl: 0.493427 loss: 2.239534 eta: 1 day, 10:52:08 batch_cost: 1.0084 data_cost: 0.0072 ips: 39.6667 images/s
[07/28 03:38:46] ppdet.engine INFO: Epoch: [146] [320/732] learning_rate: 0.096772 loss_vfl: 1.064088 loss_bbox: 0.554726 loss_dfl: 0.459183 loss: 2.064636 eta: 1 day, 10:51:46 batch_cost: 1.1437 data_cost: 0.0056 ips: 34.9727 images/s
[07/28 03:39:11] ppdet.engine INFO: Epoch: [146] [340/732] learning_rate: 0.096743 loss_vfl: 1.061594 loss_bbox: 0.550435 loss_dfl: 0.456613 loss: 2.068448 eta: 1 day, 10:51:21 batch_cost: 0.9871 data_cost: 0.0044 ips: 40.5213 images/s
[07/28 03:39:39] ppdet.engine INFO: Epoch: [146] [360/732] learning_rate: 0.096714 loss_vfl: 1.116338 loss_bbox: 0.547987 loss_dfl: 0.470106 loss: 2.156226 eta: 1 day, 10:51:02 batch_cost: 1.2713 data_cost: 0.0042 ips: 31.4640 images/s
[07/28 03:40:04] ppdet.engine INFO: Epoch: [146] [380/732] learning_rate: 0.096684 loss_vfl: 1.102909 loss_bbox: 0.547447 loss_dfl: 0.471961 loss: 2.166605 eta: 1 day, 10:50:37 batch_cost: 0.9714 data_cost: 0.0076 ips: 41.1796 images/s
[07/28 03:40:29] ppdet.engine INFO: Epoch: [146] [400/732] learning_rate: 0.096655 loss_vfl: 1.077970 loss_bbox: 0.572742 loss_dfl: 0.471226 loss: 2.104449 eta: 1 day, 10:50:11 batch_cost: 0.9719 data_cost: 0.0085 ips: 41.1572 images/s
[07/28 03:40:55] ppdet.engine INFO: Epoch: [146] [420/732] learning_rate: 0.096626 loss_vfl: 0.998989 loss_bbox: 0.519067 loss_dfl: 0.436216 loss: 1.956039 eta: 1 day, 10:49:48 batch_cost: 1.0425 data_cost: 0.0055 ips: 38.3696 images/s
[07/28 03:41:22] ppdet.engine INFO: Epoch: [146] [440/732] learning_rate: 0.096597 loss_vfl: 1.078870 loss_bbox: 0.558910 loss_dfl: 0.470553 loss: 2.129882 eta: 1 day, 10:49:26 batch_cost: 1.1332 data_cost: 0.0054 ips: 35.2998 images/s
[07/28 03:41:49] ppdet.engine INFO: Epoch: [146] [460/732] learning_rate: 0.096567 loss_vfl: 1.080423 loss_bbox: 0.561728 loss_dfl: 0.467492 loss: 2.089161 eta: 1 day, 10:49:05 batch_cost: 1.2157 data_cost: 0.0046 ips: 32.9030 images/s
[07/28 03:42:16] ppdet.engine INFO: Epoch: [146] [480/732] learning_rate: 0.096538 loss_vfl: 1.146774 loss_bbox: 0.567657 loss_dfl: 0.474356 loss: 2.189139 eta: 1 day, 10:48:42 batch_cost: 1.0816 data_cost: 0.0189 ips: 36.9822 images/s
[07/28 03:42:42] ppdet.engine INFO: Epoch: [146] [500/732] learning_rate: 0.096509 loss_vfl: 1.080762 loss_bbox: 0.542980 loss_dfl: 0.468486 loss: 2.109201 eta: 1 day, 10:48:21 batch_cost: 1.1484 data_cost: 0.0069 ips: 34.8298 images/s
[07/28 03:43:07] ppdet.engine INFO: Epoch: [146] [520/732] learning_rate: 0.096480 loss_vfl: 1.112925 loss_bbox: 0.579766 loss_dfl: 0.474313 loss: 2.167671 eta: 1 day, 10:47:56 batch_cost: 1.0224 data_cost: 0.0075 ips: 39.1247 images/s
[07/28 03:43:34] ppdet.engine INFO: Epoch: [146] [540/732] learning_rate: 0.096450 loss_vfl: 1.053526 loss_bbox: 0.566815 loss_dfl: 0.457415 loss: 2.078543 eta: 1 day, 10:47:33 batch_cost: 1.0854 data_cost: 0.0061 ips: 36.8521 images/s
[07/28 03:44:01] ppdet.engine INFO: Epoch: [146] [560/732] learning_rate: 0.096421 loss_vfl: 1.065413 loss_bbox: 0.534346 loss_dfl: 0.456156 loss: 2.064198 eta: 1 day, 10:47:10 batch_cost: 1.0634 data_cost: 0.0090 ips: 37.6156 images/s
[07/28 03:44:27] ppdet.engine INFO: Epoch: [146] [580/732] learning_rate: 0.096392 loss_vfl: 1.082548 loss_bbox: 0.550046 loss_dfl: 0.459723 loss: 2.071599 eta: 1 day, 10:46:48 batch_cost: 1.1455 data_cost: 0.0102 ips: 34.9179 images/s
[07/28 03:44:52] ppdet.engine INFO: Epoch: [146] [600/732] learning_rate: 0.096363 loss_vfl: 1.108799 loss_bbox: 0.567093 loss_dfl: 0.478657 loss: 2.162246 eta: 1 day, 10:46:23 batch_cost: 1.0002 data_cost: 0.0097 ips: 39.9916 images/s
[07/28 03:45:19] ppdet.engine INFO: Epoch: [146] [620/732] learning_rate: 0.096333 loss_vfl: 1.125862 loss_bbox: 0.565852 loss_dfl: 0.485173 loss: 2.186283 eta: 1 day, 10:46:01 batch_cost: 1.1198 data_cost: 0.0091 ips: 35.7212 images/s
[07/28 03:45:47] ppdet.engine INFO: Epoch: [146] [640/732] learning_rate: 0.096304 loss_vfl: 1.098936 loss_bbox: 0.575704 loss_dfl: 0.476398 loss: 2.134704 eta: 1 day, 10:45:40 batch_cost: 1.1668 data_cost: 0.0056 ips: 34.2809 images/s
[07/28 03:46:11] ppdet.engine INFO: Epoch: [146] [660/732] learning_rate: 0.096275 loss_vfl: 1.098934 loss_bbox: 0.568712 loss_dfl: 0.484437 loss: 2.153244 eta: 1 day, 10:45:14 batch_cost: 0.9517 data_cost: 0.0077 ips: 42.0302 images/s
[07/28 03:46:39] ppdet.engine INFO: Epoch: [146] [680/732] learning_rate: 0.096246 loss_vfl: 1.125859 loss_bbox: 0.566293 loss_dfl: 0.472758 loss: 2.167113 eta: 1 day, 10:44:53 batch_cost: 1.1909 data_cost: 0.0101 ips: 33.5883 images/s
[07/28 03:47:05] ppdet.engine INFO: Epoch: [146] [700/732] learning_rate: 0.096217 loss_vfl: 1.060261 loss_bbox: 0.536644 loss_dfl: 0.456188 loss: 2.046387 eta: 1 day, 10:44:29 batch_cost: 1.0370 data_cost: 0.0050 ips: 38.5739 images/s
[07/28 03:47:31] ppdet.engine INFO: Epoch: [146] [720/732] learning_rate: 0.096187 loss_vfl: 1.130073 loss_bbox: 0.571620 loss_dfl: 0.476704 loss: 2.167858 eta: 1 day, 10:44:04 batch_cost: 0.9809 data_cost: 0.0096 ips: 40.7780 images/s
[07/28 03:47:52] ppdet.engine INFO: Epoch: [147] [  0/732] learning_rate: 0.096170 loss_vfl: 1.122751 loss_bbox: 0.565988 loss_dfl: 0.468452 loss: 2.144172 eta: 1 day, 10:43:55 batch_cost: 1.3015 data_cost: 0.3341 ips: 30.7344 images/s
[07/28 03:48:23] ppdet.engine INFO: Epoch: [147] [ 20/732] learning_rate: 0.096141 loss_vfl: 1.115923 loss_bbox: 0.552888 loss_dfl: 0.476627 loss: 2.164503 eta: 1 day, 10:43:35 batch_cost: 1.1984 data_cost: 0.0031 ips: 33.3790 images/s
[07/28 03:48:49] ppdet.engine INFO: Epoch: [147] [ 40/732] learning_rate: 0.096111 loss_vfl: 1.102905 loss_bbox: 0.560910 loss_dfl: 0.465002 loss: 2.119718 eta: 1 day, 10:43:11 batch_cost: 1.0547 data_cost: 0.0131 ips: 37.9250 images/s
[07/28 03:49:16] ppdet.engine INFO: Epoch: [147] [ 60/732] learning_rate: 0.096082 loss_vfl: 1.092300 loss_bbox: 0.578597 loss_dfl: 0.478731 loss: 2.148630 eta: 1 day, 10:42:50 batch_cost: 1.1688 data_cost: 0.0027 ips: 34.2218 images/s
[07/28 03:49:41] ppdet.engine INFO: Epoch: [147] [ 80/732] learning_rate: 0.096053 loss_vfl: 1.062372 loss_bbox: 0.567493 loss_dfl: 0.463154 loss: 2.091804 eta: 1 day, 10:42:25 batch_cost: 1.0122 data_cost: 0.0072 ips: 39.5164 images/s
[07/28 03:50:08] ppdet.engine INFO: Epoch: [147] [100/732] learning_rate: 0.096024 loss_vfl: 1.103327 loss_bbox: 0.556156 loss_dfl: 0.481547 loss: 2.139523 eta: 1 day, 10:42:01 batch_cost: 1.0199 data_cost: 0.0038 ips: 39.2184 images/s
[07/28 03:50:35] ppdet.engine INFO: Epoch: [147] [120/732] learning_rate: 0.095995 loss_vfl: 1.103669 loss_bbox: 0.570040 loss_dfl: 0.479319 loss: 2.177097 eta: 1 day, 10:41:38 batch_cost: 1.0942 data_cost: 0.0070 ips: 36.5559 images/s
[07/28 03:51:01] ppdet.engine INFO: Epoch: [147] [140/732] learning_rate: 0.095965 loss_vfl: 1.102717 loss_bbox: 0.564702 loss_dfl: 0.465257 loss: 2.126541 eta: 1 day, 10:41:15 batch_cost: 1.0469 data_cost: 0.0053 ips: 38.2092 images/s
[07/28 03:51:28] ppdet.engine INFO: Epoch: [147] [160/732] learning_rate: 0.095936 loss_vfl: 1.069290 loss_bbox: 0.534743 loss_dfl: 0.456638 loss: 2.083560 eta: 1 day, 10:40:51 batch_cost: 1.0557 data_cost: 0.0046 ips: 37.8911 images/s
[07/28 03:51:54] ppdet.engine INFO: Epoch: [147] [180/732] learning_rate: 0.095907 loss_vfl: 1.141848 loss_bbox: 0.578969 loss_dfl: 0.492096 loss: 2.218173 eta: 1 day, 10:40:28 batch_cost: 1.0791 data_cost: 0.0148 ips: 37.0675 images/s
[07/28 03:52:19] ppdet.engine INFO: Epoch: [147] [200/732] learning_rate: 0.095878 loss_vfl: 1.124337 loss_bbox: 0.560385 loss_dfl: 0.471289 loss: 2.160389 eta: 1 day, 10:40:03 batch_cost: 0.9995 data_cost: 0.0028 ips: 40.0189 images/s
[07/28 03:52:45] ppdet.engine INFO: Epoch: [147] [220/732] learning_rate: 0.095848 loss_vfl: 1.110588 loss_bbox: 0.577452 loss_dfl: 0.481728 loss: 2.154305 eta: 1 day, 10:39:40 batch_cost: 1.0665 data_cost: 0.0085 ips: 37.5072 images/s
[07/28 03:53:11] ppdet.engine INFO: Epoch: [147] [240/732] learning_rate: 0.095819 loss_vfl: 1.050024 loss_bbox: 0.537272 loss_dfl: 0.448122 loss: 2.043655 eta: 1 day, 10:39:15 batch_cost: 0.9886 data_cost: 0.0072 ips: 40.4615 images/s
[07/28 03:53:37] ppdet.engine INFO: Epoch: [147] [260/732] learning_rate: 0.095790 loss_vfl: 1.094875 loss_bbox: 0.583264 loss_dfl: 0.486933 loss: 2.161658 eta: 1 day, 10:38:51 batch_cost: 1.0540 data_cost: 0.0126 ips: 37.9490 images/s
[07/28 03:54:01] ppdet.engine INFO: Epoch: [147] [280/732] learning_rate: 0.095761 loss_vfl: 1.131947 loss_bbox: 0.573257 loss_dfl: 0.488692 loss: 2.191962 eta: 1 day, 10:38:25 batch_cost: 0.9364 data_cost: 0.0089 ips: 42.7168 images/s
[07/28 03:54:28] ppdet.engine INFO: Epoch: [147] [300/732] learning_rate: 0.095732 loss_vfl: 1.090346 loss_bbox: 0.551295 loss_dfl: 0.464018 loss: 2.117728 eta: 1 day, 10:38:01 batch_cost: 1.0294 data_cost: 0.0055 ips: 38.8560 images/s
[07/28 03:54:55] ppdet.engine INFO: Epoch: [147] [320/732] learning_rate: 0.095702 loss_vfl: 1.125605 loss_bbox: 0.570491 loss_dfl: 0.483529 loss: 2.182645 eta: 1 day, 10:37:38 batch_cost: 1.1029 data_cost: 0.0144 ips: 36.2689 images/s
[07/28 03:55:20] ppdet.engine INFO: Epoch: [147] [340/732] learning_rate: 0.095673 loss_vfl: 1.107901 loss_bbox: 0.549881 loss_dfl: 0.458802 loss: 2.116411 eta: 1 day, 10:37:14 batch_cost: 1.0426 data_cost: 0.0025 ips: 38.3657 images/s
[07/28 03:55:46] ppdet.engine INFO: Epoch: [147] [360/732] learning_rate: 0.095644 loss_vfl: 1.105108 loss_bbox: 0.572394 loss_dfl: 0.465309 loss: 2.132810 eta: 1 day, 10:36:51 batch_cost: 1.0478 data_cost: 0.0077 ips: 38.1736 images/s
[07/28 03:56:11] ppdet.engine INFO: Epoch: [147] [380/732] learning_rate: 0.095615 loss_vfl: 1.095514 loss_bbox: 0.575809 loss_dfl: 0.473875 loss: 2.144570 eta: 1 day, 10:36:27 batch_cost: 1.0493 data_cost: 0.0519 ips: 38.1207 images/s
[07/28 03:56:39] ppdet.engine INFO: Epoch: [147] [400/732] learning_rate: 0.095586 loss_vfl: 1.088406 loss_bbox: 0.559602 loss_dfl: 0.469096 loss: 2.126065 eta: 1 day, 10:36:05 batch_cost: 1.1478 data_cost: 0.0820 ips: 34.8500 images/s
[07/28 03:57:05] ppdet.engine INFO: Epoch: [147] [420/732] learning_rate: 0.095556 loss_vfl: 1.099715 loss_bbox: 0.567637 loss_dfl: 0.474416 loss: 2.146749 eta: 1 day, 10:35:42 batch_cost: 1.0653 data_cost: 0.0037 ips: 37.5485 images/s
[07/28 03:57:31] ppdet.engine INFO: Epoch: [147] [440/732] learning_rate: 0.095527 loss_vfl: 1.116167 loss_bbox: 0.571629 loss_dfl: 0.478141 loss: 2.170556 eta: 1 day, 10:35:18 batch_cost: 1.0280 data_cost: 0.0076 ips: 38.9117 images/s
[07/28 03:57:58] ppdet.engine INFO: Epoch: [147] [460/732] learning_rate: 0.095498 loss_vfl: 1.085855 loss_bbox: 0.552898 loss_dfl: 0.459628 loss: 2.083441 eta: 1 day, 10:34:55 batch_cost: 1.0820 data_cost: 0.0067 ips: 36.9700 images/s
[07/28 03:58:23] ppdet.engine INFO: Epoch: [147] [480/732] learning_rate: 0.095469 loss_vfl: 1.095191 loss_bbox: 0.563171 loss_dfl: 0.471352 loss: 2.119497 eta: 1 day, 10:34:30 batch_cost: 0.9812 data_cost: 0.0051 ips: 40.7657 images/s
[07/28 03:58:49] ppdet.engine INFO: Epoch: [147] [500/732] learning_rate: 0.095440 loss_vfl: 1.105070 loss_bbox: 0.573248 loss_dfl: 0.473583 loss: 2.144754 eta: 1 day, 10:34:07 batch_cost: 1.1154 data_cost: 0.0098 ips: 35.8628 images/s
[07/28 03:59:17] ppdet.engine INFO: Epoch: [147] [520/732] learning_rate: 0.095410 loss_vfl: 1.096463 loss_bbox: 0.565978 loss_dfl: 0.471830 loss: 2.112679 eta: 1 day, 10:33:45 batch_cost: 1.1266 data_cost: 0.0044 ips: 35.5065 images/s
[07/28 03:59:43] ppdet.engine INFO: Epoch: [147] [540/732] learning_rate: 0.095381 loss_vfl: 1.087600 loss_bbox: 0.554651 loss_dfl: 0.472237 loss: 2.131026 eta: 1 day, 10:33:22 batch_cost: 1.0813 data_cost: 0.0071 ips: 36.9912 images/s
[07/28 04:00:07] ppdet.engine INFO: Epoch: [147] [560/732] learning_rate: 0.095352 loss_vfl: 1.101781 loss_bbox: 0.578124 loss_dfl: 0.489622 loss: 2.204656 eta: 1 day, 10:32:56 batch_cost: 0.9246 data_cost: 0.0059 ips: 43.2612 images/s
[07/28 04:00:36] ppdet.engine INFO: Epoch: [147] [580/732] learning_rate: 0.095323 loss_vfl: 1.113368 loss_bbox: 0.559982 loss_dfl: 0.476726 loss: 2.160898 eta: 1 day, 10:32:35 batch_cost: 1.1879 data_cost: 0.0102 ips: 33.6716 images/s
[07/28 04:01:03] ppdet.engine INFO: Epoch: [147] [600/732] learning_rate: 0.095294 loss_vfl: 1.081277 loss_bbox: 0.559323 loss_dfl: 0.463859 loss: 2.108890 eta: 1 day, 10:32:13 batch_cost: 1.1497 data_cost: 0.0064 ips: 34.7921 images/s
[07/28 04:01:31] ppdet.engine INFO: Epoch: [147] [620/732] learning_rate: 0.095265 loss_vfl: 1.069445 loss_bbox: 0.548822 loss_dfl: 0.455801 loss: 2.073404 eta: 1 day, 10:31:52 batch_cost: 1.1630 data_cost: 0.0090 ips: 34.3951 images/s
[07/28 04:01:55] ppdet.engine INFO: Epoch: [147] [640/732] learning_rate: 0.095235 loss_vfl: 1.097448 loss_bbox: 0.575674 loss_dfl: 0.477054 loss: 2.143774 eta: 1 day, 10:31:27 batch_cost: 0.9602 data_cost: 0.0037 ips: 41.6589 images/s
[07/28 04:02:21] ppdet.engine INFO: Epoch: [147] [660/732] learning_rate: 0.095206 loss_vfl: 1.079849 loss_bbox: 0.558387 loss_dfl: 0.465229 loss: 2.104588 eta: 1 day, 10:31:03 batch_cost: 1.0516 data_cost: 0.0091 ips: 38.0375 images/s
[07/28 04:02:47] ppdet.engine INFO: Epoch: [147] [680/732] learning_rate: 0.095177 loss_vfl: 1.102181 loss_bbox: 0.569260 loss_dfl: 0.482481 loss: 2.157789 eta: 1 day, 10:30:38 batch_cost: 0.9762 data_cost: 0.0047 ips: 40.9751 images/s
[07/28 04:03:13] ppdet.engine INFO: Epoch: [147] [700/732] learning_rate: 0.095148 loss_vfl: 1.140697 loss_bbox: 0.553786 loss_dfl: 0.476952 loss: 2.169989 eta: 1 day, 10:30:14 batch_cost: 1.0554 data_cost: 0.0102 ips: 37.8997 images/s
[07/28 04:03:39] ppdet.engine INFO: Epoch: [147] [720/732] learning_rate: 0.095119 loss_vfl: 1.119468 loss_bbox: 0.597319 loss_dfl: 0.486522 loss: 2.206162 eta: 1 day, 10:29:51 batch_cost: 1.0757 data_cost: 0.0054 ips: 37.1845 images/s
[07/28 04:03:59] ppdet.engine INFO: Epoch: [148] [  0/732] learning_rate: 0.095101 loss_vfl: 1.095875 loss_bbox: 0.563545 loss_dfl: 0.469199 loss: 2.104044 eta: 1 day, 10:29:42 batch_cost: 1.3126 data_cost: 0.4983 ips: 30.4737 images/s
[07/28 04:04:28] ppdet.engine INFO: Epoch: [148] [ 20/732] learning_rate: 0.095072 loss_vfl: 1.097350 loss_bbox: 0.551088 loss_dfl: 0.461301 loss: 2.106856 eta: 1 day, 10:29:20 batch_cost: 1.1722 data_cost: 0.0065 ips: 34.1252 images/s
[07/28 04:04:54] ppdet.engine INFO: Epoch: [148] [ 40/732] learning_rate: 0.095043 loss_vfl: 1.113958 loss_bbox: 0.568438 loss_dfl: 0.468247 loss: 2.152545 eta: 1 day, 10:28:58 batch_cost: 1.1100 data_cost: 0.0067 ips: 36.0350 images/s
[07/28 04:05:20] ppdet.engine INFO: Epoch: [148] [ 60/732] learning_rate: 0.095014 loss_vfl: 1.105811 loss_bbox: 0.579396 loss_dfl: 0.481214 loss: 2.178370 eta: 1 day, 10:28:34 batch_cost: 1.0165 data_cost: 0.0064 ips: 39.3507 images/s
[07/28 04:05:47] ppdet.engine INFO: Epoch: [148] [ 80/732] learning_rate: 0.094984 loss_vfl: 1.100958 loss_bbox: 0.570495 loss_dfl: 0.474957 loss: 2.170782 eta: 1 day, 10:28:10 batch_cost: 1.0730 data_cost: 0.0108 ips: 37.2773 images/s
[07/28 04:06:16] ppdet.engine INFO: Epoch: [148] [100/732] learning_rate: 0.094955 loss_vfl: 1.114006 loss_bbox: 0.549052 loss_dfl: 0.470739 loss: 2.117022 eta: 1 day, 10:27:48 batch_cost: 1.1005 data_cost: 0.0074 ips: 36.3469 images/s
[07/28 04:06:40] ppdet.engine INFO: Epoch: [148] [120/732] learning_rate: 0.094926 loss_vfl: 1.108257 loss_bbox: 0.561513 loss_dfl: 0.469329 loss: 2.141427 eta: 1 day, 10:27:23 batch_cost: 0.9813 data_cost: 0.0034 ips: 40.7606 images/s
[07/28 04:07:10] ppdet.engine INFO: Epoch: [148] [140/732] learning_rate: 0.094897 loss_vfl: 1.087692 loss_bbox: 0.562343 loss_dfl: 0.467084 loss: 2.115061 eta: 1 day, 10:27:00 batch_cost: 1.1180 data_cost: 0.0072 ips: 35.7790 images/s
[07/28 04:07:36] ppdet.engine INFO: Epoch: [148] [160/732] learning_rate: 0.094868 loss_vfl: 1.115486 loss_bbox: 0.534407 loss_dfl: 0.470295 loss: 2.136118 eta: 1 day, 10:26:38 batch_cost: 1.1252 data_cost: 0.0175 ips: 35.5484 images/s
[07/28 04:08:03] ppdet.engine INFO: Epoch: [148] [180/732] learning_rate: 0.094839 loss_vfl: 1.113875 loss_bbox: 0.555129 loss_dfl: 0.475801 loss: 2.148518 eta: 1 day, 10:26:17 batch_cost: 1.1687 data_cost: 0.0032 ips: 34.2247 images/s
[07/28 04:08:29] ppdet.engine INFO: Epoch: [148] [200/732] learning_rate: 0.094809 loss_vfl: 1.078498 loss_bbox: 0.551730 loss_dfl: 0.465440 loss: 2.112730 eta: 1 day, 10:25:53 batch_cost: 1.0454 data_cost: 0.0022 ips: 38.2611 images/s
[07/28 04:08:55] ppdet.engine INFO: Epoch: [148] [220/732] learning_rate: 0.094780 loss_vfl: 1.105422 loss_bbox: 0.577791 loss_dfl: 0.482527 loss: 2.170345 eta: 1 day, 10:25:28 batch_cost: 0.9774 data_cost: 0.0060 ips: 40.9254 images/s
[07/28 04:09:20] ppdet.engine INFO: Epoch: [148] [240/732] learning_rate: 0.094751 loss_vfl: 1.091345 loss_bbox: 0.567248 loss_dfl: 0.472248 loss: 2.129403 eta: 1 day, 10:25:03 batch_cost: 0.9983 data_cost: 0.0030 ips: 40.0683 images/s
[07/28 04:09:45] ppdet.engine INFO: Epoch: [148] [260/732] learning_rate: 0.094722 loss_vfl: 1.118753 loss_bbox: 0.571643 loss_dfl: 0.464499 loss: 2.147229 eta: 1 day, 10:24:41 batch_cost: 1.1284 data_cost: 0.0024 ips: 35.4469 images/s
[07/28 04:10:13] ppdet.engine INFO: Epoch: [148] [280/732] learning_rate: 0.094693 loss_vfl: 1.094843 loss_bbox: 0.568454 loss_dfl: 0.477706 loss: 2.116891 eta: 1 day, 10:24:21 batch_cost: 1.1895 data_cost: 0.0099 ips: 33.6262 images/s
[07/28 04:10:41] ppdet.engine INFO: Epoch: [148] [300/732] learning_rate: 0.094664 loss_vfl: 1.109761 loss_bbox: 0.564074 loss_dfl: 0.468423 loss: 2.150197 eta: 1 day, 10:23:59 batch_cost: 1.1487 data_cost: 0.0093 ips: 34.8224 images/s
[07/28 04:11:06] ppdet.engine INFO: Epoch: [148] [320/732] learning_rate: 0.094635 loss_vfl: 1.101214 loss_bbox: 0.570061 loss_dfl: 0.470006 loss: 2.136091 eta: 1 day, 10:23:36 batch_cost: 1.1012 data_cost: 0.0056 ips: 36.3238 images/s
[07/28 04:11:32] ppdet.engine INFO: Epoch: [148] [340/732] learning_rate: 0.094605 loss_vfl: 1.099528 loss_bbox: 0.563772 loss_dfl: 0.467064 loss: 2.118075 eta: 1 day, 10:23:12 batch_cost: 0.9985 data_cost: 0.0110 ips: 40.0608 images/s
[07/28 04:11:58] ppdet.engine INFO: Epoch: [148] [360/732] learning_rate: 0.094576 loss_vfl: 1.112157 loss_bbox: 0.602841 loss_dfl: 0.487228 loss: 2.186505 eta: 1 day, 10:22:49 batch_cost: 1.1049 data_cost: 0.0053 ips: 36.2032 images/s
[07/28 04:12:24] ppdet.engine INFO: Epoch: [148] [380/732] learning_rate: 0.094547 loss_vfl: 1.113320 loss_bbox: 0.558505 loss_dfl: 0.469582 loss: 2.116463 eta: 1 day, 10:22:26 batch_cost: 1.1080 data_cost: 0.0074 ips: 36.1004 images/s
[07/28 04:12:52] ppdet.engine INFO: Epoch: [148] [400/732] learning_rate: 0.094518 loss_vfl: 1.066165 loss_bbox: 0.549292 loss_dfl: 0.462486 loss: 2.071187 eta: 1 day, 10:22:04 batch_cost: 1.1294 data_cost: 0.0104 ips: 35.4162 images/s
[07/28 04:13:18] ppdet.engine INFO: Epoch: [148] [420/732] learning_rate: 0.094489 loss_vfl: 1.126727 loss_bbox: 0.581157 loss_dfl: 0.485919 loss: 2.189847 eta: 1 day, 10:21:43 batch_cost: 1.1399 data_cost: 0.0017 ips: 35.0905 images/s
[07/28 04:13:47] ppdet.engine INFO: Epoch: [148] [440/732] learning_rate: 0.094460 loss_vfl: 1.107096 loss_bbox: 0.593943 loss_dfl: 0.481919 loss: 2.188293 eta: 1 day, 10:21:20 batch_cost: 1.1098 data_cost: 0.0062 ips: 36.0423 images/s
[07/28 04:14:12] ppdet.engine INFO: Epoch: [148] [460/732] learning_rate: 0.094430 loss_vfl: 1.094529 loss_bbox: 0.547233 loss_dfl: 0.461437 loss: 2.097652 eta: 1 day, 10:20:57 batch_cost: 1.0726 data_cost: 0.0078 ips: 37.2926 images/s
[07/28 04:14:39] ppdet.engine INFO: Epoch: [148] [480/732] learning_rate: 0.094401 loss_vfl: 1.130762 loss_bbox: 0.590358 loss_dfl: 0.479663 loss: 2.210235 eta: 1 day, 10:20:35 batch_cost: 1.1189 data_cost: 0.0089 ips: 35.7486 images/s
[07/28 04:15:05] ppdet.engine INFO: Epoch: [148] [500/732] learning_rate: 0.094372 loss_vfl: 1.113452 loss_bbox: 0.565978 loss_dfl: 0.475807 loss: 2.158022 eta: 1 day, 10:20:13 batch_cost: 1.1343 data_cost: 0.0069 ips: 35.2625 images/s
[07/28 04:15:31] ppdet.engine INFO: Epoch: [148] [520/732] learning_rate: 0.094343 loss_vfl: 1.090514 loss_bbox: 0.575712 loss_dfl: 0.475750 loss: 2.128540 eta: 1 day, 10:19:50 batch_cost: 1.0753 data_cost: 0.0117 ips: 37.1989 images/s
[07/28 04:15:55] ppdet.engine INFO: Epoch: [148] [540/732] learning_rate: 0.094314 loss_vfl: 1.121268 loss_bbox: 0.577648 loss_dfl: 0.490807 loss: 2.199529 eta: 1 day, 10:19:24 batch_cost: 0.9708 data_cost: 0.0079 ips: 41.2023 images/s
[07/28 04:16:22] ppdet.engine INFO: Epoch: [148] [560/732] learning_rate: 0.094285 loss_vfl: 1.148588 loss_bbox: 0.587472 loss_dfl: 0.485556 loss: 2.185280 eta: 1 day, 10:19:00 batch_cost: 1.0413 data_cost: 0.0078 ips: 38.4150 images/s
[07/28 04:16:48] ppdet.engine INFO: Epoch: [148] [580/732] learning_rate: 0.094256 loss_vfl: 1.121618 loss_bbox: 0.574735 loss_dfl: 0.479937 loss: 2.193864 eta: 1 day, 10:18:37 batch_cost: 1.0579 data_cost: 0.0083 ips: 37.8120 images/s
[07/28 04:17:13] ppdet.engine INFO: Epoch: [148] [600/732] learning_rate: 0.094227 loss_vfl: 1.115039 loss_bbox: 0.581896 loss_dfl: 0.482909 loss: 2.195975 eta: 1 day, 10:18:13 batch_cost: 1.0372 data_cost: 0.0045 ips: 38.5636 images/s
[07/28 04:17:40] ppdet.engine INFO: Epoch: [148] [620/732] learning_rate: 0.094197 loss_vfl: 1.115385 loss_bbox: 0.592645 loss_dfl: 0.484284 loss: 2.192160 eta: 1 day, 10:17:49 batch_cost: 1.0462 data_cost: 0.0047 ips: 38.2325 images/s
[07/28 04:18:07] ppdet.engine INFO: Epoch: [148] [640/732] learning_rate: 0.094168 loss_vfl: 1.064315 loss_bbox: 0.543184 loss_dfl: 0.443870 loss: 2.030873 eta: 1 day, 10:17:27 batch_cost: 1.1088 data_cost: 0.0306 ips: 36.0736 images/s
[07/28 04:18:32] ppdet.engine INFO: Epoch: [148] [660/732] learning_rate: 0.094139 loss_vfl: 1.095502 loss_bbox: 0.554486 loss_dfl: 0.464210 loss: 2.113453 eta: 1 day, 10:17:02 batch_cost: 1.0084 data_cost: 0.0115 ips: 39.6663 images/s
[07/28 04:19:00] ppdet.engine INFO: Epoch: [148] [680/732] learning_rate: 0.094110 loss_vfl: 1.135969 loss_bbox: 0.589740 loss_dfl: 0.488141 loss: 2.243832 eta: 1 day, 10:16:40 batch_cost: 1.0941 data_cost: 0.0101 ips: 36.5596 images/s
[07/28 04:19:25] ppdet.engine INFO: Epoch: [148] [700/732] learning_rate: 0.094081 loss_vfl: 1.095540 loss_bbox: 0.564954 loss_dfl: 0.473634 loss: 2.129081 eta: 1 day, 10:16:15 batch_cost: 0.9924 data_cost: 0.0025 ips: 40.3059 images/s
[07/28 04:19:53] ppdet.engine INFO: Epoch: [148] [720/732] learning_rate: 0.094052 loss_vfl: 1.136758 loss_bbox: 0.593244 loss_dfl: 0.489552 loss: 2.224298 eta: 1 day, 10:15:52 batch_cost: 1.0902 data_cost: 0.0043 ips: 36.6902 images/s
[07/28 04:20:10] ppdet.engine INFO: Epoch: [149] [  0/732] learning_rate: 0.094034 loss_vfl: 1.126753 loss_bbox: 0.596972 loss_dfl: 0.494863 loss: 2.234102 eta: 1 day, 10:15:40 batch_cost: 1.1402 data_cost: 0.3308 ips: 35.0826 images/s
[07/28 04:20:42] ppdet.engine INFO: Epoch: [149] [ 20/732] learning_rate: 0.094005 loss_vfl: 1.075420 loss_bbox: 0.538865 loss_dfl: 0.453234 loss: 2.051303 eta: 1 day, 10:15:21 batch_cost: 1.2892 data_cost: 0.0092 ips: 31.0281 images/s
[07/28 04:21:09] ppdet.engine INFO: Epoch: [149] [ 40/732] learning_rate: 0.093976 loss_vfl: 1.123025 loss_bbox: 0.569442 loss_dfl: 0.480595 loss: 2.171912 eta: 1 day, 10:14:58 batch_cost: 1.0835 data_cost: 0.0071 ips: 36.9188 images/s
[07/28 04:21:36] ppdet.engine INFO: Epoch: [149] [ 60/732] learning_rate: 0.093947 loss_vfl: 1.110417 loss_bbox: 0.577036 loss_dfl: 0.484765 loss: 2.188542 eta: 1 day, 10:14:34 batch_cost: 1.0013 data_cost: 0.0078 ips: 39.9464 images/s
[07/28 04:22:01] ppdet.engine INFO: Epoch: [149] [ 80/732] learning_rate: 0.093918 loss_vfl: 1.138845 loss_bbox: 0.582028 loss_dfl: 0.480508 loss: 2.211611 eta: 1 day, 10:14:10 batch_cost: 1.0626 data_cost: 0.0049 ips: 37.6421 images/s
[07/28 04:22:30] ppdet.engine INFO: Epoch: [149] [100/732] learning_rate: 0.093889 loss_vfl: 1.076630 loss_bbox: 0.554834 loss_dfl: 0.466901 loss: 2.089144 eta: 1 day, 10:13:48 batch_cost: 1.1152 data_cost: 0.0082 ips: 35.8682 images/s
[07/28 04:22:56] ppdet.engine INFO: Epoch: [149] [120/732] learning_rate: 0.093860 loss_vfl: 1.082751 loss_bbox: 0.541607 loss_dfl: 0.459935 loss: 2.093119 eta: 1 day, 10:13:24 batch_cost: 1.0603 data_cost: 0.0047 ips: 37.7244 images/s
[07/28 04:23:21] ppdet.engine INFO: Epoch: [149] [140/732] learning_rate: 0.093830 loss_vfl: 1.097775 loss_bbox: 0.575318 loss_dfl: 0.473969 loss: 2.148799 eta: 1 day, 10:13:02 batch_cost: 1.1036 data_cost: 0.0131 ips: 36.2451 images/s
[07/28 04:23:48] ppdet.engine INFO: Epoch: [149] [160/732] learning_rate: 0.093801 loss_vfl: 1.109116 loss_bbox: 0.572155 loss_dfl: 0.478562 loss: 2.134955 eta: 1 day, 10:12:40 batch_cost: 1.1478 data_cost: 0.0080 ips: 34.8478 images/s
[07/28 04:24:15] ppdet.engine INFO: Epoch: [149] [180/732] learning_rate: 0.093772 loss_vfl: 1.068900 loss_bbox: 0.553365 loss_dfl: 0.463190 loss: 2.095393 eta: 1 day, 10:12:18 batch_cost: 1.1155 data_cost: 0.0120 ips: 35.8571 images/s
[07/28 04:24:43] ppdet.engine INFO: Epoch: [149] [200/732] learning_rate: 0.093743 loss_vfl: 1.103366 loss_bbox: 0.573552 loss_dfl: 0.472117 loss: 2.149530 eta: 1 day, 10:11:55 batch_cost: 1.1060 data_cost: 0.0183 ips: 36.1671 images/s
[07/28 04:25:09] ppdet.engine INFO: Epoch: [149] [220/732] learning_rate: 0.093714 loss_vfl: 1.118505 loss_bbox: 0.571638 loss_dfl: 0.480580 loss: 2.163611 eta: 1 day, 10:11:33 batch_cost: 1.1108 data_cost: 0.0063 ips: 36.0108 images/s
[07/28 04:25:36] ppdet.engine INFO: Epoch: [149] [240/732] learning_rate: 0.093685 loss_vfl: 1.074469 loss_bbox: 0.535970 loss_dfl: 0.460256 loss: 2.080228 eta: 1 day, 10:11:12 batch_cost: 1.1841 data_cost: 0.0079 ips: 33.7818 images/s
[07/28 04:26:00] ppdet.engine INFO: Epoch: [149] [260/732] learning_rate: 0.093656 loss_vfl: 1.101165 loss_bbox: 0.560200 loss_dfl: 0.473788 loss: 2.143488 eta: 1 day, 10:10:48 batch_cost: 1.0085 data_cost: 0.0106 ips: 39.6628 images/s
[07/28 04:26:28] ppdet.engine INFO: Epoch: [149] [280/732] learning_rate: 0.093627 loss_vfl: 1.102404 loss_bbox: 0.533495 loss_dfl: 0.469739 loss: 2.112212 eta: 1 day, 10:10:27 batch_cost: 1.2143 data_cost: 0.0052 ips: 32.9396 images/s
[07/28 04:26:54] ppdet.engine INFO: Epoch: [149] [300/732] learning_rate: 0.093598 loss_vfl: 1.101662 loss_bbox: 0.571759 loss_dfl: 0.473279 loss: 2.142437 eta: 1 day, 10:10:05 batch_cost: 1.1072 data_cost: 0.0078 ips: 36.1264 images/s
[07/28 04:27:21] ppdet.engine INFO: Epoch: [149] [320/732] learning_rate: 0.093568 loss_vfl: 1.078649 loss_bbox: 0.543359 loss_dfl: 0.456268 loss: 2.078283 eta: 1 day, 10:09:42 batch_cost: 1.1197 data_cost: 0.0056 ips: 35.7226 images/s
[07/28 04:27:48] ppdet.engine INFO: Epoch: [149] [340/732] learning_rate: 0.093539 loss_vfl: 1.100235 loss_bbox: 0.566344 loss_dfl: 0.481306 loss: 2.130319 eta: 1 day, 10:09:20 batch_cost: 1.0935 data_cost: 0.0045 ips: 36.5796 images/s
[07/28 04:28:13] ppdet.engine INFO: Epoch: [149] [360/732] learning_rate: 0.093510 loss_vfl: 1.121482 loss_bbox: 0.575668 loss_dfl: 0.478726 loss: 2.164210 eta: 1 day, 10:08:57 batch_cost: 1.0908 data_cost: 0.0076 ips: 36.6719 images/s
[07/28 04:28:40] ppdet.engine INFO: Epoch: [149] [380/732] learning_rate: 0.093481 loss_vfl: 1.094081 loss_bbox: 0.578343 loss_dfl: 0.480069 loss: 2.155601 eta: 1 day, 10:08:35 batch_cost: 1.1277 data_cost: 0.0085 ips: 35.4719 images/s
[07/28 04:29:05] ppdet.engine INFO: Epoch: [149] [400/732] learning_rate: 0.093452 loss_vfl: 1.095890 loss_bbox: 0.568020 loss_dfl: 0.475632 loss: 2.145474 eta: 1 day, 10:08:11 batch_cost: 1.0362 data_cost: 0.0068 ips: 38.6029 images/s
[07/28 04:29:32] ppdet.engine INFO: Epoch: [149] [420/732] learning_rate: 0.093423 loss_vfl: 1.123279 loss_bbox: 0.586887 loss_dfl: 0.484271 loss: 2.187696 eta: 1 day, 10:07:48 batch_cost: 1.0824 data_cost: 0.0076 ips: 36.9539 images/s
[07/28 04:29:58] ppdet.engine INFO: Epoch: [149] [440/732] learning_rate: 0.093394 loss_vfl: 1.067102 loss_bbox: 0.567920 loss_dfl: 0.460778 loss: 2.109974 eta: 1 day, 10:07:26 batch_cost: 1.1426 data_cost: 0.0030 ips: 35.0069 images/s
[07/28 04:30:24] ppdet.engine INFO: Epoch: [149] [460/732] learning_rate: 0.093365 loss_vfl: 1.109399 loss_bbox: 0.577859 loss_dfl: 0.478604 loss: 2.158925 eta: 1 day, 10:07:04 batch_cost: 1.1262 data_cost: 0.0054 ips: 35.5185 images/s
[07/28 04:30:51] ppdet.engine INFO: Epoch: [149] [480/732] learning_rate: 0.093336 loss_vfl: 1.083475 loss_bbox: 0.553401 loss_dfl: 0.464423 loss: 2.091171 eta: 1 day, 10:06:42 batch_cost: 1.1201 data_cost: 0.0071 ips: 35.7106 images/s
[07/28 04:31:16] ppdet.engine INFO: Epoch: [149] [500/732] learning_rate: 0.093307 loss_vfl: 1.076690 loss_bbox: 0.572464 loss_dfl: 0.471492 loss: 2.114460 eta: 1 day, 10:06:19 batch_cost: 1.0790 data_cost: 0.0062 ips: 37.0702 images/s
[07/28 04:31:42] ppdet.engine INFO: Epoch: [149] [520/732] learning_rate: 0.093278 loss_vfl: 1.090436 loss_bbox: 0.554534 loss_dfl: 0.461046 loss: 2.111825 eta: 1 day, 10:05:56 batch_cost: 1.0795 data_cost: 0.0086 ips: 37.0539 images/s
[07/28 04:32:08] ppdet.engine INFO: Epoch: [149] [540/732] learning_rate: 0.093248 loss_vfl: 1.111742 loss_bbox: 0.560406 loss_dfl: 0.460914 loss: 2.135940 eta: 1 day, 10:05:33 batch_cost: 1.0803 data_cost: 0.0033 ips: 37.0283 images/s
[07/28 04:32:34] ppdet.engine INFO: Epoch: [149] [560/732] learning_rate: 0.093219 loss_vfl: 1.108978 loss_bbox: 0.559342 loss_dfl: 0.470534 loss: 2.141974 eta: 1 day, 10:05:09 batch_cost: 1.0299 data_cost: 0.0152 ips: 38.8397 images/s
[07/28 04:32:59] ppdet.engine INFO: Epoch: [149] [580/732] learning_rate: 0.093190 loss_vfl: 1.126545 loss_bbox: 0.574029 loss_dfl: 0.474585 loss: 2.165308 eta: 1 day, 10:04:45 batch_cost: 1.0570 data_cost: 0.0071 ips: 37.8444 images/s
[07/28 04:33:28] ppdet.engine INFO: Epoch: [149] [600/732] learning_rate: 0.093161 loss_vfl: 1.108564 loss_bbox: 0.568039 loss_dfl: 0.473829 loss: 2.164654 eta: 1 day, 10:04:24 batch_cost: 1.1675 data_cost: 0.0042 ips: 34.2606 images/s
[07/28 04:33:53] ppdet.engine INFO: Epoch: [149] [620/732] learning_rate: 0.093132 loss_vfl: 1.137980 loss_bbox: 0.581386 loss_dfl: 0.485423 loss: 2.180488 eta: 1 day, 10:04:01 batch_cost: 1.0683 data_cost: 0.0020 ips: 37.4442 images/s
[07/28 04:34:20] ppdet.engine INFO: Epoch: [149] [640/732] learning_rate: 0.093103 loss_vfl: 1.098520 loss_bbox: 0.561133 loss_dfl: 0.471119 loss: 2.147571 eta: 1 day, 10:03:38 batch_cost: 1.1201 data_cost: 0.0040 ips: 35.7116 images/s
[07/28 04:34:47] ppdet.engine INFO: Epoch: [149] [660/732] learning_rate: 0.093074 loss_vfl: 1.100877 loss_bbox: 0.565422 loss_dfl: 0.474530 loss: 2.141333 eta: 1 day, 10:03:15 batch_cost: 1.0837 data_cost: 0.0041 ips: 36.9097 images/s
[07/28 04:35:13] ppdet.engine INFO: Epoch: [149] [680/732] learning_rate: 0.093045 loss_vfl: 1.129757 loss_bbox: 0.581483 loss_dfl: 0.482122 loss: 2.196925 eta: 1 day, 10:02:53 batch_cost: 1.0992 data_cost: 0.0056 ips: 36.3905 images/s
[07/28 04:35:40] ppdet.engine INFO: Epoch: [149] [700/732] learning_rate: 0.093016 loss_vfl: 1.089892 loss_bbox: 0.575358 loss_dfl: 0.482138 loss: 2.148880 eta: 1 day, 10:02:31 batch_cost: 1.1231 data_cost: 0.0042 ips: 35.6156 images/s
[07/28 04:36:07] ppdet.engine INFO: Epoch: [149] [720/732] learning_rate: 0.092987 loss_vfl: 1.088171 loss_bbox: 0.549385 loss_dfl: 0.452550 loss: 2.066018 eta: 1 day, 10:02:08 batch_cost: 1.1001 data_cost: 0.0105 ips: 36.3610 images/s
[07/28 04:36:17] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 04:36:17] ppdet.engine INFO: Eval iter: 0
[07/28 04:36:39] ppdet.engine INFO: Eval iter: 100
[07/28 04:36:48] ppdet.engine INFO: Eval iter: 200
[07/28 04:36:58] ppdet.engine INFO: Eval iter: 300
[07/28 04:37:08] ppdet.engine INFO: Eval iter: 400
[07/28 04:37:18] ppdet.engine INFO: Eval iter: 500
[07/28 04:37:28] ppdet.engine INFO: Eval iter: 600
[07/28 04:37:44] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.63s)
creating index...
index created!
[07/28 04:37:44] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.18s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=99.33s).
Accumulating evaluation results...
DONE (t=18.74s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.265
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.396
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.282
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.099
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.282
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.404
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.259
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.422
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.450
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.187
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.500
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.674
[07/28 04:39:50] ppdet.engine INFO: Total sample number: 4952, averge FPS: 67.4567619514382
[07/28 04:39:50] ppdet.engine INFO: Best test bbox ap is 0.265.
[07/28 04:39:50] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 04:39:51] ppdet.engine INFO: Epoch: [150] [  0/732] learning_rate: 0.092969 loss_vfl: 1.083498 loss_bbox: 0.555011 loss_dfl: 0.457423 loss: 2.093121 eta: 1 day, 10:01:48 batch_cost: 0.7543 data_cost: 0.0106 ips: 53.0279 images/s
[07/28 04:40:15] ppdet.engine INFO: Epoch: [150] [ 20/732] learning_rate: 0.092940 loss_vfl: 1.086466 loss_bbox: 0.535872 loss_dfl: 0.447676 loss: 2.088364 eta: 1 day, 10:01:25 batch_cost: 1.0530 data_cost: 0.0114 ips: 37.9870 images/s
[07/28 04:40:40] ppdet.engine INFO: Epoch: [150] [ 40/732] learning_rate: 0.092911 loss_vfl: 1.206367 loss_bbox: 0.613488 loss_dfl: 0.519928 loss: 2.339579 eta: 1 day, 10:01:01 batch_cost: 1.0196 data_cost: 0.0051 ips: 39.2306 images/s
[07/28 04:41:09] ppdet.engine INFO: Epoch: [150] [ 60/732] learning_rate: 0.092882 loss_vfl: 1.041414 loss_bbox: 0.530491 loss_dfl: 0.440652 loss: 1.998552 eta: 1 day, 10:00:39 batch_cost: 1.1288 data_cost: 0.0117 ips: 35.4347 images/s
[07/28 04:41:36] ppdet.engine INFO: Epoch: [150] [ 80/732] learning_rate: 0.092853 loss_vfl: 1.160910 loss_bbox: 0.584923 loss_dfl: 0.505945 loss: 2.272824 eta: 1 day, 10:00:17 batch_cost: 1.1378 data_cost: 0.0037 ips: 35.1568 images/s
[07/28 04:42:01] ppdet.engine INFO: Epoch: [150] [100/732] learning_rate: 0.092824 loss_vfl: 1.145909 loss_bbox: 0.572809 loss_dfl: 0.491740 loss: 2.204345 eta: 1 day, 9:59:53 batch_cost: 1.0494 data_cost: 0.0035 ips: 38.1160 images/s
[07/28 04:42:27] ppdet.engine INFO: Epoch: [150] [120/732] learning_rate: 0.092795 loss_vfl: 1.097187 loss_bbox: 0.574046 loss_dfl: 0.475196 loss: 2.147789 eta: 1 day, 9:59:30 batch_cost: 1.0802 data_cost: 0.0135 ips: 37.0305 images/s
[07/28 04:42:53] ppdet.engine INFO: Epoch: [150] [140/732] learning_rate: 0.092766 loss_vfl: 1.091185 loss_bbox: 0.566754 loss_dfl: 0.469182 loss: 2.131191 eta: 1 day, 9:59:07 batch_cost: 1.0801 data_cost: 0.0081 ips: 37.0338 images/s
[07/28 04:43:17] ppdet.engine INFO: Epoch: [150] [160/732] learning_rate: 0.092737 loss_vfl: 1.037443 loss_bbox: 0.561489 loss_dfl: 0.455291 loss: 2.046912 eta: 1 day, 9:58:42 batch_cost: 0.9964 data_cost: 0.0070 ips: 40.1452 images/s
[07/28 04:43:43] ppdet.engine INFO: Epoch: [150] [180/732] learning_rate: 0.092708 loss_vfl: 1.096299 loss_bbox: 0.578535 loss_dfl: 0.471770 loss: 2.127097 eta: 1 day, 9:58:20 batch_cost: 1.1245 data_cost: 0.0056 ips: 35.5719 images/s
[07/28 04:44:10] ppdet.engine INFO: Epoch: [150] [200/732] learning_rate: 0.092679 loss_vfl: 1.065296 loss_bbox: 0.515895 loss_dfl: 0.445908 loss: 2.046214 eta: 1 day, 9:57:58 batch_cost: 1.1221 data_cost: 0.0048 ips: 35.6488 images/s
[07/28 04:44:35] ppdet.engine INFO: Epoch: [150] [220/732] learning_rate: 0.092650 loss_vfl: 1.085728 loss_bbox: 0.550758 loss_dfl: 0.465068 loss: 2.123711 eta: 1 day, 9:57:34 batch_cost: 1.0093 data_cost: 0.0049 ips: 39.6319 images/s
[07/28 04:45:01] ppdet.engine INFO: Epoch: [150] [240/732] learning_rate: 0.092621 loss_vfl: 1.092592 loss_bbox: 0.547109 loss_dfl: 0.463179 loss: 2.100559 eta: 1 day, 9:57:12 batch_cost: 1.1539 data_cost: 0.0057 ips: 34.6645 images/s
[07/28 04:45:27] ppdet.engine INFO: Epoch: [150] [260/732] learning_rate: 0.092592 loss_vfl: 1.079596 loss_bbox: 0.564152 loss_dfl: 0.481537 loss: 2.138876 eta: 1 day, 9:56:48 batch_cost: 1.0355 data_cost: 0.0139 ips: 38.6282 images/s
[07/28 04:45:56] ppdet.engine INFO: Epoch: [150] [280/732] learning_rate: 0.092562 loss_vfl: 1.075914 loss_bbox: 0.556994 loss_dfl: 0.456605 loss: 2.088461 eta: 1 day, 9:56:27 batch_cost: 1.1883 data_cost: 0.0047 ips: 33.6612 images/s
[07/28 04:46:21] ppdet.engine INFO: Epoch: [150] [300/732] learning_rate: 0.092533 loss_vfl: 1.093031 loss_bbox: 0.547365 loss_dfl: 0.461957 loss: 2.095026 eta: 1 day, 9:56:03 batch_cost: 1.0390 data_cost: 0.0077 ips: 38.5003 images/s
[07/28 04:46:47] ppdet.engine INFO: Epoch: [150] [320/732] learning_rate: 0.092504 loss_vfl: 1.105146 loss_bbox: 0.575474 loss_dfl: 0.482693 loss: 2.165558 eta: 1 day, 9:55:41 batch_cost: 1.0930 data_cost: 0.0115 ips: 36.5967 images/s
[07/28 04:47:14] ppdet.engine INFO: Epoch: [150] [340/732] learning_rate: 0.092475 loss_vfl: 1.130975 loss_bbox: 0.580734 loss_dfl: 0.486048 loss: 2.210275 eta: 1 day, 9:55:18 batch_cost: 1.0787 data_cost: 0.0062 ips: 37.0811 images/s
[07/28 04:47:39] ppdet.engine INFO: Epoch: [150] [360/732] learning_rate: 0.092446 loss_vfl: 1.136746 loss_bbox: 0.580398 loss_dfl: 0.478531 loss: 2.185914 eta: 1 day, 9:54:54 batch_cost: 1.0442 data_cost: 0.0085 ips: 38.3083 images/s
[07/28 04:48:04] ppdet.engine INFO: Epoch: [150] [380/732] learning_rate: 0.092417 loss_vfl: 1.109288 loss_bbox: 0.568962 loss_dfl: 0.483292 loss: 2.170802 eta: 1 day, 9:54:31 batch_cost: 1.0905 data_cost: 0.0012 ips: 36.6806 images/s
[07/28 04:48:32] ppdet.engine INFO: Epoch: [150] [400/732] learning_rate: 0.092388 loss_vfl: 1.091578 loss_bbox: 0.570763 loss_dfl: 0.469471 loss: 2.105186 eta: 1 day, 9:54:10 batch_cost: 1.1895 data_cost: 0.0124 ips: 33.6287 images/s
[07/28 04:48:58] ppdet.engine INFO: Epoch: [150] [420/732] learning_rate: 0.092359 loss_vfl: 1.113874 loss_bbox: 0.546349 loss_dfl: 0.457770 loss: 2.110339 eta: 1 day, 9:53:48 batch_cost: 1.1010 data_cost: 0.0100 ips: 36.3294 images/s
[07/28 04:49:25] ppdet.engine INFO: Epoch: [150] [440/732] learning_rate: 0.092330 loss_vfl: 1.055598 loss_bbox: 0.556996 loss_dfl: 0.456085 loss: 2.066161 eta: 1 day, 9:53:25 batch_cost: 1.1291 data_cost: 0.0090 ips: 35.4255 images/s
[07/28 04:49:51] ppdet.engine INFO: Epoch: [150] [460/732] learning_rate: 0.092301 loss_vfl: 1.099456 loss_bbox: 0.556751 loss_dfl: 0.468685 loss: 2.110120 eta: 1 day, 9:53:03 batch_cost: 1.1107 data_cost: 0.0036 ips: 36.0147 images/s
[07/28 04:50:17] ppdet.engine INFO: Epoch: [150] [480/732] learning_rate: 0.092272 loss_vfl: 1.105124 loss_bbox: 0.553710 loss_dfl: 0.470041 loss: 2.151233 eta: 1 day, 9:52:40 batch_cost: 1.0799 data_cost: 0.0074 ips: 37.0418 images/s
[07/28 04:50:42] ppdet.engine INFO: Epoch: [150] [500/732] learning_rate: 0.092243 loss_vfl: 1.102731 loss_bbox: 0.563913 loss_dfl: 0.481941 loss: 2.154229 eta: 1 day, 9:52:16 batch_cost: 1.0505 data_cost: 0.0054 ips: 38.0754 images/s
[07/28 04:51:09] ppdet.engine INFO: Epoch: [150] [520/732] learning_rate: 0.092214 loss_vfl: 1.084104 loss_bbox: 0.536572 loss_dfl: 0.456633 loss: 2.046340 eta: 1 day, 9:51:54 batch_cost: 1.0928 data_cost: 0.0048 ips: 36.6037 images/s
[07/28 04:51:34] ppdet.engine INFO: Epoch: [150] [540/732] learning_rate: 0.092185 loss_vfl: 1.098167 loss_bbox: 0.572581 loss_dfl: 0.474887 loss: 2.145635 eta: 1 day, 9:51:31 batch_cost: 1.0801 data_cost: 0.0077 ips: 37.0343 images/s
[07/28 04:52:01] ppdet.engine INFO: Epoch: [150] [560/732] learning_rate: 0.092156 loss_vfl: 1.103715 loss_bbox: 0.570556 loss_dfl: 0.485885 loss: 2.156984 eta: 1 day, 9:51:09 batch_cost: 1.1452 data_cost: 0.0058 ips: 34.9269 images/s
[07/28 04:52:28] ppdet.engine INFO: Epoch: [150] [580/732] learning_rate: 0.092127 loss_vfl: 1.110919 loss_bbox: 0.563931 loss_dfl: 0.474850 loss: 2.141242 eta: 1 day, 9:50:46 batch_cost: 1.0771 data_cost: 0.0069 ips: 37.1361 images/s
[07/28 04:52:54] ppdet.engine INFO: Epoch: [150] [600/732] learning_rate: 0.092098 loss_vfl: 1.118627 loss_bbox: 0.552959 loss_dfl: 0.466963 loss: 2.126680 eta: 1 day, 9:50:24 batch_cost: 1.1416 data_cost: 0.0049 ips: 35.0384 images/s
[07/28 04:53:19] ppdet.engine INFO: Epoch: [150] [620/732] learning_rate: 0.092069 loss_vfl: 1.137045 loss_bbox: 0.565234 loss_dfl: 0.475759 loss: 2.181751 eta: 1 day, 9:50:00 batch_cost: 1.0200 data_cost: 0.0031 ips: 39.2144 images/s
[07/28 04:53:47] ppdet.engine INFO: Epoch: [150] [640/732] learning_rate: 0.092040 loss_vfl: 1.140090 loss_bbox: 0.570358 loss_dfl: 0.487759 loss: 2.211847 eta: 1 day, 9:49:38 batch_cost: 1.1166 data_cost: 0.0069 ips: 35.8232 images/s
[07/28 04:54:12] ppdet.engine INFO: Epoch: [150] [660/732] learning_rate: 0.092011 loss_vfl: 1.120274 loss_bbox: 0.567827 loss_dfl: 0.474131 loss: 2.150796 eta: 1 day, 9:49:14 batch_cost: 1.0451 data_cost: 0.0272 ips: 38.2748 images/s
[07/28 04:54:39] ppdet.engine INFO: Epoch: [150] [680/732] learning_rate: 0.091982 loss_vfl: 1.071158 loss_bbox: 0.566528 loss_dfl: 0.457596 loss: 2.099346 eta: 1 day, 9:48:49 batch_cost: 0.9822 data_cost: 0.0063 ips: 40.7255 images/s
[07/28 04:55:04] ppdet.engine INFO: Epoch: [150] [700/732] learning_rate: 0.091953 loss_vfl: 1.075318 loss_bbox: 0.575429 loss_dfl: 0.471038 loss: 2.118785 eta: 1 day, 9:48:25 batch_cost: 1.0187 data_cost: 0.0182 ips: 39.2650 images/s
[07/28 04:55:31] ppdet.engine INFO: Epoch: [150] [720/732] learning_rate: 0.091924 loss_vfl: 1.052535 loss_bbox: 0.526089 loss_dfl: 0.450904 loss: 2.035488 eta: 1 day, 9:48:03 batch_cost: 1.1492 data_cost: 0.0117 ips: 34.8062 images/s
[07/28 04:55:52] ppdet.engine INFO: Epoch: [151] [  0/732] learning_rate: 0.091906 loss_vfl: 1.052535 loss_bbox: 0.527317 loss_dfl: 0.447684 loss: 2.038061 eta: 1 day, 9:47:55 batch_cost: 1.3515 data_cost: 0.4471 ips: 29.5970 images/s
[07/28 04:56:21] ppdet.engine INFO: Epoch: [151] [ 20/732] learning_rate: 0.091877 loss_vfl: 1.131058 loss_bbox: 0.566324 loss_dfl: 0.479203 loss: 2.180385 eta: 1 day, 9:47:35 batch_cost: 1.2265 data_cost: 0.0070 ips: 32.6140 images/s
[07/28 04:56:49] ppdet.engine INFO: Epoch: [151] [ 40/732] learning_rate: 0.091848 loss_vfl: 1.160350 loss_bbox: 0.587706 loss_dfl: 0.498674 loss: 2.260400 eta: 1 day, 9:47:12 batch_cost: 1.1117 data_cost: 0.0083 ips: 35.9823 images/s
[07/28 04:57:16] ppdet.engine INFO: Epoch: [151] [ 60/732] learning_rate: 0.091819 loss_vfl: 1.038495 loss_bbox: 0.518321 loss_dfl: 0.440980 loss: 1.997282 eta: 1 day, 9:46:50 batch_cost: 1.1071 data_cost: 0.0046 ips: 36.1312 images/s
[07/28 04:57:42] ppdet.engine INFO: Epoch: [151] [ 80/732] learning_rate: 0.091790 loss_vfl: 1.084666 loss_bbox: 0.533708 loss_dfl: 0.458992 loss: 2.096441 eta: 1 day, 9:46:26 batch_cost: 1.0276 data_cost: 0.0057 ips: 38.9264 images/s
[07/28 04:58:09] ppdet.engine INFO: Epoch: [151] [100/732] learning_rate: 0.091761 loss_vfl: 1.142373 loss_bbox: 0.575975 loss_dfl: 0.485653 loss: 2.201696 eta: 1 day, 9:46:05 batch_cost: 1.1815 data_cost: 0.0070 ips: 33.8561 images/s
[07/28 04:58:35] ppdet.engine INFO: Epoch: [151] [120/732] learning_rate: 0.091732 loss_vfl: 1.128393 loss_bbox: 0.581253 loss_dfl: 0.475633 loss: 2.180225 eta: 1 day, 9:45:40 batch_cost: 1.0132 data_cost: 0.0038 ips: 39.4782 images/s
[07/28 04:59:01] ppdet.engine INFO: Epoch: [151] [140/732] learning_rate: 0.091703 loss_vfl: 1.105220 loss_bbox: 0.568215 loss_dfl: 0.466004 loss: 2.123430 eta: 1 day, 9:45:17 batch_cost: 1.0634 data_cost: 0.0079 ips: 37.6142 images/s
[07/28 04:59:29] ppdet.engine INFO: Epoch: [151] [160/732] learning_rate: 0.091674 loss_vfl: 1.094064 loss_bbox: 0.559998 loss_dfl: 0.461385 loss: 2.128615 eta: 1 day, 9:44:55 batch_cost: 1.1166 data_cost: 0.0089 ips: 35.8239 images/s
[07/28 04:59:54] ppdet.engine INFO: Epoch: [151] [180/732] learning_rate: 0.091645 loss_vfl: 1.122973 loss_bbox: 0.572082 loss_dfl: 0.473491 loss: 2.149153 eta: 1 day, 9:44:31 batch_cost: 1.0295 data_cost: 0.0025 ips: 38.8551 images/s
[07/28 05:00:22] ppdet.engine INFO: Epoch: [151] [200/732] learning_rate: 0.091616 loss_vfl: 1.143490 loss_bbox: 0.583746 loss_dfl: 0.488991 loss: 2.213430 eta: 1 day, 9:44:08 batch_cost: 1.0845 data_cost: 0.0069 ips: 36.8844 images/s
[07/28 05:00:48] ppdet.engine INFO: Epoch: [151] [220/732] learning_rate: 0.091587 loss_vfl: 1.079673 loss_bbox: 0.559228 loss_dfl: 0.472614 loss: 2.116988 eta: 1 day, 9:43:44 batch_cost: 1.0497 data_cost: 0.0077 ips: 38.1059 images/s
[07/28 05:01:14] ppdet.engine INFO: Epoch: [151] [240/732] learning_rate: 0.091558 loss_vfl: 1.108922 loss_bbox: 0.574389 loss_dfl: 0.476698 loss: 2.137228 eta: 1 day, 9:43:19 batch_cost: 0.9873 data_cost: 0.0052 ips: 40.5147 images/s
[07/28 05:01:41] ppdet.engine INFO: Epoch: [151] [260/732] learning_rate: 0.091529 loss_vfl: 1.112059 loss_bbox: 0.578459 loss_dfl: 0.470032 loss: 2.149512 eta: 1 day, 9:42:57 batch_cost: 1.0965 data_cost: 0.0057 ips: 36.4798 images/s
[07/28 05:02:06] ppdet.engine INFO: Epoch: [151] [280/732] learning_rate: 0.091500 loss_vfl: 1.097824 loss_bbox: 0.555267 loss_dfl: 0.456457 loss: 2.102896 eta: 1 day, 9:42:32 batch_cost: 0.9893 data_cost: 0.0081 ips: 40.4344 images/s
[07/28 05:02:34] ppdet.engine INFO: Epoch: [151] [300/732] learning_rate: 0.091471 loss_vfl: 1.149965 loss_bbox: 0.585220 loss_dfl: 0.490858 loss: 2.214278 eta: 1 day, 9:42:09 batch_cost: 1.0866 data_cost: 0.0091 ips: 36.8114 images/s
[07/28 05:03:00] ppdet.engine INFO: Epoch: [151] [320/732] learning_rate: 0.091442 loss_vfl: 1.112862 loss_bbox: 0.563439 loss_dfl: 0.474574 loss: 2.138846 eta: 1 day, 9:41:46 batch_cost: 1.0724 data_cost: 0.0024 ips: 37.2988 images/s
[07/28 05:03:26] ppdet.engine INFO: Epoch: [151] [340/732] learning_rate: 0.091413 loss_vfl: 1.168945 loss_bbox: 0.586361 loss_dfl: 0.491786 loss: 2.240775 eta: 1 day, 9:41:21 batch_cost: 1.0147 data_cost: 0.0097 ips: 39.4210 images/s
[07/28 05:03:54] ppdet.engine INFO: Epoch: [151] [360/732] learning_rate: 0.091384 loss_vfl: 1.115700 loss_bbox: 0.585688 loss_dfl: 0.475755 loss: 2.187342 eta: 1 day, 9:40:58 batch_cost: 1.0370 data_cost: 0.0077 ips: 38.5717 images/s
[07/28 05:04:20] ppdet.engine INFO: Epoch: [151] [380/732] learning_rate: 0.091355 loss_vfl: 1.084037 loss_bbox: 0.571883 loss_dfl: 0.469800 loss: 2.122746 eta: 1 day, 9:40:33 batch_cost: 1.0220 data_cost: 0.0132 ips: 39.1381 images/s
[07/28 05:04:46] ppdet.engine INFO: Epoch: [151] [400/732] learning_rate: 0.091326 loss_vfl: 1.040473 loss_bbox: 0.548486 loss_dfl: 0.451680 loss: 2.029485 eta: 1 day, 9:40:09 batch_cost: 1.0170 data_cost: 0.0066 ips: 39.3321 images/s
[07/28 05:05:13] ppdet.engine INFO: Epoch: [151] [420/732] learning_rate: 0.091297 loss_vfl: 1.033481 loss_bbox: 0.511337 loss_dfl: 0.442498 loss: 2.004403 eta: 1 day, 9:39:46 batch_cost: 1.0841 data_cost: 0.0040 ips: 36.8976 images/s
[07/28 05:05:38] ppdet.engine INFO: Epoch: [151] [440/732] learning_rate: 0.091269 loss_vfl: 1.069151 loss_bbox: 0.555139 loss_dfl: 0.462220 loss: 2.090839 eta: 1 day, 9:39:23 batch_cost: 1.0789 data_cost: 0.0063 ips: 37.0761 images/s
[07/28 05:06:05] ppdet.engine INFO: Epoch: [151] [460/732] learning_rate: 0.091240 loss_vfl: 1.113406 loss_bbox: 0.568669 loss_dfl: 0.463073 loss: 2.099684 eta: 1 day, 9:39:01 batch_cost: 1.0991 data_cost: 0.0074 ips: 36.3950 images/s
[07/28 05:06:31] ppdet.engine INFO: Epoch: [151] [480/732] learning_rate: 0.091211 loss_vfl: 1.070222 loss_bbox: 0.553997 loss_dfl: 0.456647 loss: 2.094640 eta: 1 day, 9:38:36 batch_cost: 0.9756 data_cost: 0.0135 ips: 40.9997 images/s
[07/28 05:06:56] ppdet.engine INFO: Epoch: [151] [500/732] learning_rate: 0.091182 loss_vfl: 1.125532 loss_bbox: 0.585151 loss_dfl: 0.492468 loss: 2.226405 eta: 1 day, 9:38:11 batch_cost: 0.9783 data_cost: 0.0057 ips: 40.8886 images/s
[07/28 05:07:24] ppdet.engine INFO: Epoch: [151] [520/732] learning_rate: 0.091153 loss_vfl: 1.092730 loss_bbox: 0.543567 loss_dfl: 0.470003 loss: 2.107554 eta: 1 day, 9:37:49 batch_cost: 1.1464 data_cost: 0.0043 ips: 34.8910 images/s
[07/28 05:07:51] ppdet.engine INFO: Epoch: [151] [540/732] learning_rate: 0.091124 loss_vfl: 1.045353 loss_bbox: 0.551439 loss_dfl: 0.449194 loss: 2.044720 eta: 1 day, 9:37:26 batch_cost: 1.0695 data_cost: 0.0117 ips: 37.4007 images/s
[07/28 05:08:17] ppdet.engine INFO: Epoch: [151] [560/732] learning_rate: 0.091095 loss_vfl: 1.045409 loss_bbox: 0.543414 loss_dfl: 0.440115 loss: 2.026011 eta: 1 day, 9:37:03 batch_cost: 1.0934 data_cost: 0.0065 ips: 36.5831 images/s
[07/28 05:08:41] ppdet.engine INFO: Epoch: [151] [580/732] learning_rate: 0.091066 loss_vfl: 1.127358 loss_bbox: 0.602033 loss_dfl: 0.488118 loss: 2.210485 eta: 1 day, 9:36:38 batch_cost: 0.9789 data_cost: 0.0059 ips: 40.8604 images/s
[07/28 05:09:07] ppdet.engine INFO: Epoch: [151] [600/732] learning_rate: 0.091037 loss_vfl: 1.112611 loss_bbox: 0.572886 loss_dfl: 0.472227 loss: 2.150820 eta: 1 day, 9:36:14 batch_cost: 1.0259 data_cost: 0.0053 ips: 38.9908 images/s
[07/28 05:09:34] ppdet.engine INFO: Epoch: [151] [620/732] learning_rate: 0.091008 loss_vfl: 1.091107 loss_bbox: 0.571864 loss_dfl: 0.479100 loss: 2.125224 eta: 1 day, 9:35:51 batch_cost: 1.0845 data_cost: 0.0047 ips: 36.8822 images/s
[07/28 05:09:59] ppdet.engine INFO: Epoch: [151] [640/732] learning_rate: 0.090979 loss_vfl: 1.051940 loss_bbox: 0.549160 loss_dfl: 0.455051 loss: 2.061993 eta: 1 day, 9:35:28 batch_cost: 1.0735 data_cost: 0.0073 ips: 37.2622 images/s
[07/28 05:10:25] ppdet.engine INFO: Epoch: [151] [660/732] learning_rate: 0.090950 loss_vfl: 1.120652 loss_bbox: 0.574623 loss_dfl: 0.486758 loss: 2.216677 eta: 1 day, 9:35:03 batch_cost: 1.0041 data_cost: 0.0070 ips: 39.8369 images/s
[07/28 05:10:52] ppdet.engine INFO: Epoch: [151] [680/732] learning_rate: 0.090921 loss_vfl: 1.045393 loss_bbox: 0.534295 loss_dfl: 0.447209 loss: 2.035654 eta: 1 day, 9:34:41 batch_cost: 1.1272 data_cost: 0.0048 ips: 35.4877 images/s
[07/28 05:11:18] ppdet.engine INFO: Epoch: [151] [700/732] learning_rate: 0.090892 loss_vfl: 1.108680 loss_bbox: 0.581417 loss_dfl: 0.486817 loss: 2.185596 eta: 1 day, 9:34:17 batch_cost: 1.0226 data_cost: 0.0091 ips: 39.1170 images/s
[07/28 05:11:42] ppdet.engine INFO: Epoch: [151] [720/732] learning_rate: 0.090863 loss_vfl: 1.105691 loss_bbox: 0.554901 loss_dfl: 0.470482 loss: 2.129475 eta: 1 day, 9:33:52 batch_cost: 0.9525 data_cost: 0.0078 ips: 41.9955 images/s
[07/28 05:12:02] ppdet.engine INFO: Epoch: [152] [  0/732] learning_rate: 0.090846 loss_vfl: 1.130539 loss_bbox: 0.589334 loss_dfl: 0.485841 loss: 2.197313 eta: 1 day, 9:33:42 batch_cost: 1.1773 data_cost: 0.2763 ips: 33.9756 images/s
[07/28 05:12:33] ppdet.engine INFO: Epoch: [152] [ 20/732] learning_rate: 0.090817 loss_vfl: 1.134843 loss_bbox: 0.579328 loss_dfl: 0.485694 loss: 2.197452 eta: 1 day, 9:33:20 batch_cost: 1.1366 data_cost: 0.0034 ips: 35.1929 images/s
[07/28 05:12:59] ppdet.engine INFO: Epoch: [152] [ 40/732] learning_rate: 0.090788 loss_vfl: 1.061222 loss_bbox: 0.551098 loss_dfl: 0.461502 loss: 2.067573 eta: 1 day, 9:32:57 batch_cost: 1.0700 data_cost: 0.0029 ips: 37.3826 images/s
[07/28 05:13:25] ppdet.engine INFO: Epoch: [152] [ 60/732] learning_rate: 0.090759 loss_vfl: 1.150910 loss_bbox: 0.586128 loss_dfl: 0.487497 loss: 2.196283 eta: 1 day, 9:32:32 batch_cost: 1.0126 data_cost: 0.0040 ips: 39.5024 images/s
[07/28 05:13:53] ppdet.engine INFO: Epoch: [152] [ 80/732] learning_rate: 0.090730 loss_vfl: 1.110156 loss_bbox: 0.566916 loss_dfl: 0.472030 loss: 2.164994 eta: 1 day, 9:32:09 batch_cost: 1.0703 data_cost: 0.0057 ips: 37.3728 images/s
[07/28 05:14:20] ppdet.engine INFO: Epoch: [152] [100/732] learning_rate: 0.090701 loss_vfl: 1.071960 loss_bbox: 0.529050 loss_dfl: 0.450258 loss: 2.041535 eta: 1 day, 9:31:47 batch_cost: 1.1286 data_cost: 0.0123 ips: 35.4417 images/s
[07/28 05:14:47] ppdet.engine INFO: Epoch: [152] [120/732] learning_rate: 0.090672 loss_vfl: 1.134313 loss_bbox: 0.587012 loss_dfl: 0.491413 loss: 2.234077 eta: 1 day, 9:31:26 batch_cost: 1.1626 data_cost: 0.0057 ips: 34.4056 images/s
[07/28 05:15:12] ppdet.engine INFO: Epoch: [152] [140/732] learning_rate: 0.090643 loss_vfl: 1.052918 loss_bbox: 0.542114 loss_dfl: 0.464962 loss: 2.066668 eta: 1 day, 9:31:02 batch_cost: 1.0720 data_cost: 0.0038 ips: 37.3125 images/s
[07/28 05:15:41] ppdet.engine INFO: Epoch: [152] [160/732] learning_rate: 0.090614 loss_vfl: 1.154599 loss_bbox: 0.583582 loss_dfl: 0.493278 loss: 2.214363 eta: 1 day, 9:30:42 batch_cost: 1.2042 data_cost: 0.0076 ips: 33.2160 images/s
[07/28 05:16:07] ppdet.engine INFO: Epoch: [152] [180/732] learning_rate: 0.090585 loss_vfl: 1.090757 loss_bbox: 0.555230 loss_dfl: 0.464701 loss: 2.106090 eta: 1 day, 9:30:16 batch_cost: 0.9313 data_cost: 0.0064 ips: 42.9504 images/s
[07/28 05:16:34] ppdet.engine INFO: Epoch: [152] [200/732] learning_rate: 0.090556 loss_vfl: 1.102881 loss_bbox: 0.550523 loss_dfl: 0.464327 loss: 2.131627 eta: 1 day, 9:29:54 batch_cost: 1.1542 data_cost: 0.0071 ips: 34.6552 images/s
[07/28 05:17:01] ppdet.engine INFO: Epoch: [152] [220/732] learning_rate: 0.090527 loss_vfl: 1.148801 loss_bbox: 0.574498 loss_dfl: 0.473145 loss: 2.156606 eta: 1 day, 9:29:33 batch_cost: 1.1638 data_cost: 0.0037 ips: 34.3693 images/s
[07/28 05:17:27] ppdet.engine INFO: Epoch: [152] [240/732] learning_rate: 0.090498 loss_vfl: 1.075644 loss_bbox: 0.553693 loss_dfl: 0.471619 loss: 2.109200 eta: 1 day, 9:29:12 batch_cost: 1.1594 data_cost: 0.0061 ips: 34.5015 images/s
[07/28 05:17:55] ppdet.engine INFO: Epoch: [152] [260/732] learning_rate: 0.090469 loss_vfl: 1.130513 loss_bbox: 0.569167 loss_dfl: 0.484479 loss: 2.188664 eta: 1 day, 9:28:52 batch_cost: 1.2332 data_cost: 0.0028 ips: 32.4347 images/s
[07/28 05:18:22] ppdet.engine INFO: Epoch: [152] [280/732] learning_rate: 0.090441 loss_vfl: 1.091082 loss_bbox: 0.570051 loss_dfl: 0.468914 loss: 2.131553 eta: 1 day, 9:28:31 batch_cost: 1.1855 data_cost: 0.0044 ips: 33.7408 images/s
[07/28 05:18:48] ppdet.engine INFO: Epoch: [152] [300/732] learning_rate: 0.090412 loss_vfl: 1.151662 loss_bbox: 0.605599 loss_dfl: 0.508816 loss: 2.283546 eta: 1 day, 9:28:09 batch_cost: 1.1382 data_cost: 0.0033 ips: 35.1427 images/s
[07/28 05:19:14] ppdet.engine INFO: Epoch: [152] [320/732] learning_rate: 0.090383 loss_vfl: 1.055780 loss_bbox: 0.554559 loss_dfl: 0.464085 loss: 2.075888 eta: 1 day, 9:27:46 batch_cost: 1.0859 data_cost: 0.0063 ips: 36.8367 images/s
[07/28 05:19:39] ppdet.engine INFO: Epoch: [152] [340/732] learning_rate: 0.090354 loss_vfl: 1.052645 loss_bbox: 0.549189 loss_dfl: 0.447199 loss: 2.060623 eta: 1 day, 9:27:21 batch_cost: 0.9576 data_cost: 0.0072 ips: 41.7703 images/s
[07/28 05:20:06] ppdet.engine INFO: Epoch: [152] [360/732] learning_rate: 0.090325 loss_vfl: 1.057395 loss_bbox: 0.542653 loss_dfl: 0.451065 loss: 2.052306 eta: 1 day, 9:26:59 batch_cost: 1.1666 data_cost: 0.0100 ips: 34.2872 images/s
[07/28 05:20:34] ppdet.engine INFO: Epoch: [152] [380/732] learning_rate: 0.090296 loss_vfl: 1.126018 loss_bbox: 0.570571 loss_dfl: 0.471554 loss: 2.162908 eta: 1 day, 9:26:38 batch_cost: 1.1474 data_cost: 0.0094 ips: 34.8612 images/s
[07/28 05:21:00] ppdet.engine INFO: Epoch: [152] [400/732] learning_rate: 0.090267 loss_vfl: 1.174804 loss_bbox: 0.578227 loss_dfl: 0.498777 loss: 2.265808 eta: 1 day, 9:26:15 batch_cost: 1.0855 data_cost: 0.0077 ips: 36.8507 images/s
[07/28 05:21:27] ppdet.engine INFO: Epoch: [152] [420/732] learning_rate: 0.090238 loss_vfl: 1.147887 loss_bbox: 0.570503 loss_dfl: 0.473508 loss: 2.176931 eta: 1 day, 9:25:54 batch_cost: 1.2037 data_cost: 0.0099 ips: 33.2297 images/s
[07/28 05:21:54] ppdet.engine INFO: Epoch: [152] [440/732] learning_rate: 0.090209 loss_vfl: 1.055672 loss_bbox: 0.523194 loss_dfl: 0.451212 loss: 2.046421 eta: 1 day, 9:25:32 batch_cost: 1.1440 data_cost: 0.0084 ips: 34.9646 images/s
[07/28 05:22:20] ppdet.engine INFO: Epoch: [152] [460/732] learning_rate: 0.090180 loss_vfl: 1.043854 loss_bbox: 0.535336 loss_dfl: 0.448765 loss: 2.049449 eta: 1 day, 9:25:08 batch_cost: 1.0136 data_cost: 0.0075 ips: 39.4616 images/s
[07/28 05:22:46] ppdet.engine INFO: Epoch: [152] [480/732] learning_rate: 0.090151 loss_vfl: 1.096753 loss_bbox: 0.568496 loss_dfl: 0.484387 loss: 2.158280 eta: 1 day, 9:24:44 batch_cost: 1.0075 data_cost: 0.0038 ips: 39.7005 images/s
[07/28 05:23:13] ppdet.engine INFO: Epoch: [152] [500/732] learning_rate: 0.090123 loss_vfl: 1.039103 loss_bbox: 0.532173 loss_dfl: 0.452366 loss: 2.012978 eta: 1 day, 9:24:22 batch_cost: 1.1417 data_cost: 0.0120 ips: 35.0356 images/s
[07/28 05:23:38] ppdet.engine INFO: Epoch: [152] [520/732] learning_rate: 0.090094 loss_vfl: 1.076764 loss_bbox: 0.562266 loss_dfl: 0.456462 loss: 2.098201 eta: 1 day, 9:23:58 batch_cost: 1.0392 data_cost: 0.0083 ips: 38.4901 images/s
[07/28 05:24:07] ppdet.engine INFO: Epoch: [152] [540/732] learning_rate: 0.090065 loss_vfl: 1.108701 loss_bbox: 0.562268 loss_dfl: 0.475536 loss: 2.166366 eta: 1 day, 9:23:37 batch_cost: 1.1652 data_cost: 0.0045 ips: 34.3289 images/s
[07/28 05:24:34] ppdet.engine INFO: Epoch: [152] [560/732] learning_rate: 0.090036 loss_vfl: 1.098343 loss_bbox: 0.553341 loss_dfl: 0.465734 loss: 2.104982 eta: 1 day, 9:23:15 batch_cost: 1.1316 data_cost: 0.0061 ips: 35.3484 images/s
[07/28 05:25:00] ppdet.engine INFO: Epoch: [152] [580/732] learning_rate: 0.090007 loss_vfl: 1.126141 loss_bbox: 0.570420 loss_dfl: 0.478777 loss: 2.164249 eta: 1 day, 9:22:52 batch_cost: 1.0753 data_cost: 0.0167 ips: 37.1980 images/s
[07/28 05:25:26] ppdet.engine INFO: Epoch: [152] [600/732] learning_rate: 0.089978 loss_vfl: 1.129099 loss_bbox: 0.574111 loss_dfl: 0.486321 loss: 2.180761 eta: 1 day, 9:22:29 batch_cost: 1.0706 data_cost: 0.0059 ips: 37.3637 images/s
[07/28 05:25:54] ppdet.engine INFO: Epoch: [152] [620/732] learning_rate: 0.089949 loss_vfl: 1.127185 loss_bbox: 0.579343 loss_dfl: 0.484797 loss: 2.196292 eta: 1 day, 9:22:08 batch_cost: 1.2278 data_cost: 0.0076 ips: 32.5786 images/s
[07/28 05:26:20] ppdet.engine INFO: Epoch: [152] [640/732] learning_rate: 0.089920 loss_vfl: 1.137687 loss_bbox: 0.564592 loss_dfl: 0.485885 loss: 2.200989 eta: 1 day, 9:21:46 batch_cost: 1.1305 data_cost: 0.0117 ips: 35.3822 images/s
[07/28 05:26:46] ppdet.engine INFO: Epoch: [152] [660/732] learning_rate: 0.089891 loss_vfl: 1.162660 loss_bbox: 0.589634 loss_dfl: 0.496478 loss: 2.236774 eta: 1 day, 9:21:24 batch_cost: 1.1179 data_cost: 0.0237 ips: 35.7799 images/s
[07/28 05:27:16] ppdet.engine INFO: Epoch: [152] [680/732] learning_rate: 0.089862 loss_vfl: 1.077180 loss_bbox: 0.557062 loss_dfl: 0.457122 loss: 2.076929 eta: 1 day, 9:21:05 batch_cost: 1.2514 data_cost: 0.0026 ips: 31.9645 images/s
[07/28 05:27:41] ppdet.engine INFO: Epoch: [152] [700/732] learning_rate: 0.089834 loss_vfl: 1.080180 loss_bbox: 0.560540 loss_dfl: 0.466653 loss: 2.101154 eta: 1 day, 9:20:40 batch_cost: 1.0186 data_cost: 0.0020 ips: 39.2690 images/s
[07/28 05:28:07] ppdet.engine INFO: Epoch: [152] [720/732] learning_rate: 0.089805 loss_vfl: 1.096516 loss_bbox: 0.545832 loss_dfl: 0.464187 loss: 2.105278 eta: 1 day, 9:20:16 batch_cost: 1.0074 data_cost: 0.0090 ips: 39.7081 images/s
[07/28 05:28:31] ppdet.engine INFO: Epoch: [153] [  0/732] learning_rate: 0.089787 loss_vfl: 1.101647 loss_bbox: 0.551196 loss_dfl: 0.461658 loss: 2.105278 eta: 1 day, 9:20:09 batch_cost: 1.3995 data_cost: 0.5388 ips: 28.5816 images/s
[07/28 05:28:57] ppdet.engine INFO: Epoch: [153] [ 20/732] learning_rate: 0.089758 loss_vfl: 1.108255 loss_bbox: 0.534664 loss_dfl: 0.459452 loss: 2.099150 eta: 1 day, 9:19:47 batch_cost: 1.1356 data_cost: 0.0065 ips: 35.2252 images/s
[07/28 05:29:24] ppdet.engine INFO: Epoch: [153] [ 40/732] learning_rate: 0.089730 loss_vfl: 1.070758 loss_bbox: 0.557762 loss_dfl: 0.464400 loss: 2.097392 eta: 1 day, 9:19:25 batch_cost: 1.1084 data_cost: 0.0039 ips: 36.0896 images/s
[07/28 05:29:49] ppdet.engine INFO: Epoch: [153] [ 60/732] learning_rate: 0.089701 loss_vfl: 1.106121 loss_bbox: 0.569081 loss_dfl: 0.470717 loss: 2.142068 eta: 1 day, 9:19:00 batch_cost: 0.9648 data_cost: 0.0172 ips: 41.4584 images/s
[07/28 05:30:16] ppdet.engine INFO: Epoch: [153] [ 80/732] learning_rate: 0.089672 loss_vfl: 1.064331 loss_bbox: 0.553594 loss_dfl: 0.463982 loss: 2.060394 eta: 1 day, 9:18:37 batch_cost: 1.0925 data_cost: 0.0052 ips: 36.6120 images/s
[07/28 05:30:43] ppdet.engine INFO: Epoch: [153] [100/732] learning_rate: 0.089643 loss_vfl: 1.085016 loss_bbox: 0.537467 loss_dfl: 0.461147 loss: 2.074250 eta: 1 day, 9:18:14 batch_cost: 1.0725 data_cost: 0.0047 ips: 37.2972 images/s
[07/28 05:31:10] ppdet.engine INFO: Epoch: [153] [120/732] learning_rate: 0.089614 loss_vfl: 1.087579 loss_bbox: 0.572792 loss_dfl: 0.467718 loss: 2.132360 eta: 1 day, 9:17:51 batch_cost: 1.0819 data_cost: 0.0051 ips: 36.9723 images/s
[07/28 05:31:35] ppdet.engine INFO: Epoch: [153] [140/732] learning_rate: 0.089585 loss_vfl: 1.070009 loss_bbox: 0.555307 loss_dfl: 0.466921 loss: 2.114763 eta: 1 day, 9:17:27 batch_cost: 1.0431 data_cost: 0.0115 ips: 38.3482 images/s
[07/28 05:32:03] ppdet.engine INFO: Epoch: [153] [160/732] learning_rate: 0.089556 loss_vfl: 1.062227 loss_bbox: 0.534088 loss_dfl: 0.454219 loss: 2.047791 eta: 1 day, 9:17:06 batch_cost: 1.1573 data_cost: 0.0081 ips: 34.5627 images/s
[07/28 05:32:29] ppdet.engine INFO: Epoch: [153] [180/732] learning_rate: 0.089527 loss_vfl: 1.115512 loss_bbox: 0.580637 loss_dfl: 0.479755 loss: 2.183753 eta: 1 day, 9:16:43 batch_cost: 1.1204 data_cost: 0.0037 ips: 35.7022 images/s
[07/28 05:32:54] ppdet.engine INFO: Epoch: [153] [200/732] learning_rate: 0.089499 loss_vfl: 1.109056 loss_bbox: 0.580504 loss_dfl: 0.483199 loss: 2.161812 eta: 1 day, 9:16:20 batch_cost: 1.0410 data_cost: 0.0048 ips: 38.4238 images/s
[07/28 05:33:20] ppdet.engine INFO: Epoch: [153] [220/732] learning_rate: 0.089470 loss_vfl: 1.097378 loss_bbox: 0.572075 loss_dfl: 0.470162 loss: 2.142144 eta: 1 day, 9:15:57 batch_cost: 1.1015 data_cost: 0.0253 ips: 36.3146 images/s
[07/28 05:33:47] ppdet.engine INFO: Epoch: [153] [240/732] learning_rate: 0.089441 loss_vfl: 1.097544 loss_bbox: 0.547076 loss_dfl: 0.464106 loss: 2.127827 eta: 1 day, 9:15:36 batch_cost: 1.1558 data_cost: 0.0091 ips: 34.6085 images/s
[07/28 05:34:14] ppdet.engine INFO: Epoch: [153] [260/732] learning_rate: 0.089412 loss_vfl: 1.029775 loss_bbox: 0.529319 loss_dfl: 0.438234 loss: 1.988317 eta: 1 day, 9:15:13 batch_cost: 1.0861 data_cost: 0.0066 ips: 36.8306 images/s
[07/28 05:34:40] ppdet.engine INFO: Epoch: [153] [280/732] learning_rate: 0.089383 loss_vfl: 1.115394 loss_bbox: 0.573536 loss_dfl: 0.483882 loss: 2.185643 eta: 1 day, 9:14:49 batch_cost: 1.0482 data_cost: 0.0084 ips: 38.1595 images/s
[07/28 05:35:05] ppdet.engine INFO: Epoch: [153] [300/732] learning_rate: 0.089354 loss_vfl: 1.143214 loss_bbox: 0.587664 loss_dfl: 0.491745 loss: 2.235447 eta: 1 day, 9:14:26 batch_cost: 1.0555 data_cost: 0.0060 ips: 37.8961 images/s
[07/28 05:35:34] ppdet.engine INFO: Epoch: [153] [320/732] learning_rate: 0.089325 loss_vfl: 1.112799 loss_bbox: 0.564624 loss_dfl: 0.465142 loss: 2.157394 eta: 1 day, 9:14:06 batch_cost: 1.2634 data_cost: 0.0058 ips: 31.6606 images/s
[07/28 05:35:59] ppdet.engine INFO: Epoch: [153] [340/732] learning_rate: 0.089297 loss_vfl: 1.106644 loss_bbox: 0.556451 loss_dfl: 0.469416 loss: 2.133706 eta: 1 day, 9:13:43 batch_cost: 1.0487 data_cost: 0.0057 ips: 38.1413 images/s
[07/28 05:36:26] ppdet.engine INFO: Epoch: [153] [360/732] learning_rate: 0.089268 loss_vfl: 1.101480 loss_bbox: 0.568369 loss_dfl: 0.480065 loss: 2.173009 eta: 1 day, 9:13:20 batch_cost: 1.0777 data_cost: 0.0037 ips: 37.1177 images/s
[07/28 05:36:55] ppdet.engine INFO: Epoch: [153] [380/732] learning_rate: 0.089239 loss_vfl: 1.067710 loss_bbox: 0.539163 loss_dfl: 0.455873 loss: 2.056345 eta: 1 day, 9:12:58 batch_cost: 1.1303 data_cost: 0.1475 ips: 35.3897 images/s
[07/28 05:37:23] ppdet.engine INFO: Epoch: [153] [400/732] learning_rate: 0.089210 loss_vfl: 1.116761 loss_bbox: 0.571766 loss_dfl: 0.475812 loss: 2.148050 eta: 1 day, 9:12:36 batch_cost: 1.1437 data_cost: 0.0065 ips: 34.9756 images/s
[07/28 05:37:48] ppdet.engine INFO: Epoch: [153] [420/732] learning_rate: 0.089181 loss_vfl: 1.053534 loss_bbox: 0.524293 loss_dfl: 0.447248 loss: 2.040486 eta: 1 day, 9:12:12 batch_cost: 1.0535 data_cost: 0.0054 ips: 37.9704 images/s
[07/28 05:38:14] ppdet.engine INFO: Epoch: [153] [440/732] learning_rate: 0.089152 loss_vfl: 1.090422 loss_bbox: 0.557348 loss_dfl: 0.467117 loss: 2.121543 eta: 1 day, 9:11:49 batch_cost: 1.0638 data_cost: 0.0590 ips: 37.6019 images/s
[07/28 05:38:45] ppdet.engine INFO: Epoch: [153] [460/732] learning_rate: 0.089124 loss_vfl: 1.106142 loss_bbox: 0.556658 loss_dfl: 0.471611 loss: 2.149933 eta: 1 day, 9:11:30 batch_cost: 1.3063 data_cost: 0.0015 ips: 30.6218 images/s
[07/28 05:39:10] ppdet.engine INFO: Epoch: [153] [480/732] learning_rate: 0.089095 loss_vfl: 1.105602 loss_bbox: 0.573777 loss_dfl: 0.475783 loss: 2.161438 eta: 1 day, 9:11:07 batch_cost: 1.0611 data_cost: 0.0077 ips: 37.6956 images/s
[07/28 05:39:36] ppdet.engine INFO: Epoch: [153] [500/732] learning_rate: 0.089066 loss_vfl: 1.067569 loss_bbox: 0.565229 loss_dfl: 0.468709 loss: 2.077190 eta: 1 day, 9:10:45 batch_cost: 1.1350 data_cost: 0.0037 ips: 35.2410 images/s
[07/28 05:40:03] ppdet.engine INFO: Epoch: [153] [520/732] learning_rate: 0.089037 loss_vfl: 1.090099 loss_bbox: 0.549064 loss_dfl: 0.456920 loss: 2.108877 eta: 1 day, 9:10:22 batch_cost: 1.0803 data_cost: 0.0048 ips: 37.0279 images/s
[07/28 05:40:30] ppdet.engine INFO: Epoch: [153] [540/732] learning_rate: 0.089008 loss_vfl: 1.136998 loss_bbox: 0.567780 loss_dfl: 0.473661 loss: 2.187407 eta: 1 day, 9:10:00 batch_cost: 1.1405 data_cost: 0.0091 ips: 35.0721 images/s
[07/28 05:40:55] ppdet.engine INFO: Epoch: [153] [560/732] learning_rate: 0.088979 loss_vfl: 1.039659 loss_bbox: 0.522122 loss_dfl: 0.445621 loss: 2.001888 eta: 1 day, 9:09:36 batch_cost: 0.9848 data_cost: 0.0083 ips: 40.6184 images/s
[07/28 05:41:20] ppdet.engine INFO: Epoch: [153] [580/732] learning_rate: 0.088951 loss_vfl: 1.114174 loss_bbox: 0.552612 loss_dfl: 0.470909 loss: 2.136381 eta: 1 day, 9:09:11 batch_cost: 1.0220 data_cost: 0.0068 ips: 39.1372 images/s
[07/28 05:41:46] ppdet.engine INFO: Epoch: [153] [600/732] learning_rate: 0.088922 loss_vfl: 1.120803 loss_bbox: 0.572189 loss_dfl: 0.468323 loss: 2.158019 eta: 1 day, 9:08:47 batch_cost: 0.9854 data_cost: 0.0045 ips: 40.5939 images/s
[07/28 05:42:14] ppdet.engine INFO: Epoch: [153] [620/732] learning_rate: 0.088893 loss_vfl: 1.094832 loss_bbox: 0.561815 loss_dfl: 0.467531 loss: 2.107796 eta: 1 day, 9:08:24 batch_cost: 1.1006 data_cost: 0.0101 ips: 36.3422 images/s
[07/28 05:42:40] ppdet.engine INFO: Epoch: [153] [640/732] learning_rate: 0.088864 loss_vfl: 1.112789 loss_bbox: 0.560093 loss_dfl: 0.474641 loss: 2.161873 eta: 1 day, 9:08:00 batch_cost: 1.0179 data_cost: 0.0085 ips: 39.2972 images/s
[07/28 05:43:05] ppdet.engine INFO: Epoch: [153] [660/732] learning_rate: 0.088835 loss_vfl: 1.114665 loss_bbox: 0.569069 loss_dfl: 0.473923 loss: 2.155593 eta: 1 day, 9:07:36 batch_cost: 1.0096 data_cost: 0.0133 ips: 39.6201 images/s
[07/28 05:43:33] ppdet.engine INFO: Epoch: [153] [680/732] learning_rate: 0.088806 loss_vfl: 1.125958 loss_bbox: 0.559080 loss_dfl: 0.481238 loss: 2.164759 eta: 1 day, 9:07:12 batch_cost: 1.0581 data_cost: 0.0052 ips: 37.8032 images/s
[07/28 05:43:59] ppdet.engine INFO: Epoch: [153] [700/732] learning_rate: 0.088778 loss_vfl: 1.104402 loss_bbox: 0.566625 loss_dfl: 0.480115 loss: 2.161779 eta: 1 day, 9:06:48 batch_cost: 1.0275 data_cost: 0.0052 ips: 38.9306 images/s
[07/28 05:44:25] ppdet.engine INFO: Epoch: [153] [720/732] learning_rate: 0.088749 loss_vfl: 1.095673 loss_bbox: 0.557694 loss_dfl: 0.466979 loss: 2.117740 eta: 1 day, 9:06:24 batch_cost: 1.0098 data_cost: 0.0057 ips: 39.6112 images/s
[07/28 05:44:43] ppdet.engine INFO: Epoch: [154] [  0/732] learning_rate: 0.088731 loss_vfl: 1.085971 loss_bbox: 0.552507 loss_dfl: 0.461706 loss: 2.105209 eta: 1 day, 9:06:13 batch_cost: 1.1941 data_cost: 0.4102 ips: 33.4993 images/s
[07/28 05:45:12] ppdet.engine INFO: Epoch: [154] [ 20/732] learning_rate: 0.088703 loss_vfl: 1.093438 loss_bbox: 0.568979 loss_dfl: 0.472250 loss: 2.143263 eta: 1 day, 9:05:52 batch_cost: 1.1881 data_cost: 0.0054 ips: 33.6663 images/s
[07/28 05:45:37] ppdet.engine INFO: Epoch: [154] [ 40/732] learning_rate: 0.088674 loss_vfl: 1.089666 loss_bbox: 0.574172 loss_dfl: 0.487446 loss: 2.159491 eta: 1 day, 9:05:27 batch_cost: 0.9762 data_cost: 0.0071 ips: 40.9738 images/s
[07/28 05:46:06] ppdet.engine INFO: Epoch: [154] [ 60/732] learning_rate: 0.088645 loss_vfl: 1.105907 loss_bbox: 0.566721 loss_dfl: 0.473185 loss: 2.136252 eta: 1 day, 9:05:06 batch_cost: 1.1649 data_cost: 0.0101 ips: 34.3363 images/s
[07/28 05:46:31] ppdet.engine INFO: Epoch: [154] [ 80/732] learning_rate: 0.088616 loss_vfl: 1.079118 loss_bbox: 0.546678 loss_dfl: 0.462603 loss: 2.087342 eta: 1 day, 9:04:42 batch_cost: 1.0681 data_cost: 0.0082 ips: 37.4502 images/s
[07/28 05:46:57] ppdet.engine INFO: Epoch: [154] [100/732] learning_rate: 0.088587 loss_vfl: 1.069985 loss_bbox: 0.542932 loss_dfl: 0.455626 loss: 2.078157 eta: 1 day, 9:04:19 batch_cost: 1.0698 data_cost: 0.0082 ips: 37.3886 images/s
[07/28 05:47:24] ppdet.engine INFO: Epoch: [154] [120/732] learning_rate: 0.088559 loss_vfl: 1.089307 loss_bbox: 0.561272 loss_dfl: 0.470607 loss: 2.136093 eta: 1 day, 9:03:56 batch_cost: 1.0750 data_cost: 0.0061 ips: 37.2089 images/s
[07/28 05:47:51] ppdet.engine INFO: Epoch: [154] [140/732] learning_rate: 0.088530 loss_vfl: 1.100328 loss_bbox: 0.568946 loss_dfl: 0.481849 loss: 2.153515 eta: 1 day, 9:03:34 batch_cost: 1.1333 data_cost: 0.0026 ips: 35.2948 images/s
[07/28 05:48:17] ppdet.engine INFO: Epoch: [154] [160/732] learning_rate: 0.088501 loss_vfl: 1.144395 loss_bbox: 0.589587 loss_dfl: 0.497761 loss: 2.249537 eta: 1 day, 9:03:13 batch_cost: 1.1448 data_cost: 0.0032 ips: 34.9407 images/s
[07/28 05:48:45] ppdet.engine INFO: Epoch: [154] [180/732] learning_rate: 0.088472 loss_vfl: 1.070578 loss_bbox: 0.549008 loss_dfl: 0.464184 loss: 2.086679 eta: 1 day, 9:02:49 batch_cost: 1.0733 data_cost: 0.0083 ips: 37.2671 images/s
[07/28 05:49:12] ppdet.engine INFO: Epoch: [154] [200/732] learning_rate: 0.088443 loss_vfl: 1.093449 loss_bbox: 0.567149 loss_dfl: 0.463713 loss: 2.140360 eta: 1 day, 9:02:28 batch_cost: 1.1485 data_cost: 0.0088 ips: 34.8284 images/s
[07/28 05:49:39] ppdet.engine INFO: Epoch: [154] [220/732] learning_rate: 0.088415 loss_vfl: 1.084849 loss_bbox: 0.563523 loss_dfl: 0.471040 loss: 2.102827 eta: 1 day, 9:02:04 batch_cost: 1.0193 data_cost: 0.0046 ips: 39.2419 images/s
[07/28 05:50:06] ppdet.engine INFO: Epoch: [154] [240/732] learning_rate: 0.088386 loss_vfl: 1.138045 loss_bbox: 0.550362 loss_dfl: 0.468130 loss: 2.125055 eta: 1 day, 9:01:42 batch_cost: 1.1552 data_cost: 0.0065 ips: 34.6269 images/s
[07/28 05:50:33] ppdet.engine INFO: Epoch: [154] [260/732] learning_rate: 0.088357 loss_vfl: 1.076739 loss_bbox: 0.542083 loss_dfl: 0.465985 loss: 2.102684 eta: 1 day, 9:01:20 batch_cost: 1.1437 data_cost: 0.0078 ips: 34.9728 images/s
[07/28 05:51:00] ppdet.engine INFO: Epoch: [154] [280/732] learning_rate: 0.088328 loss_vfl: 1.113025 loss_bbox: 0.564273 loss_dfl: 0.471537 loss: 2.159223 eta: 1 day, 9:00:57 batch_cost: 1.0561 data_cost: 0.0055 ips: 37.8750 images/s
[07/28 05:51:28] ppdet.engine INFO: Epoch: [154] [300/732] learning_rate: 0.088300 loss_vfl: 1.112981 loss_bbox: 0.567611 loss_dfl: 0.475981 loss: 2.154469 eta: 1 day, 9:00:34 batch_cost: 1.1026 data_cost: 0.0088 ips: 36.2785 images/s
[07/28 05:51:53] ppdet.engine INFO: Epoch: [154] [320/732] learning_rate: 0.088271 loss_vfl: 1.141589 loss_bbox: 0.600407 loss_dfl: 0.501930 loss: 2.261921 eta: 1 day, 9:00:10 batch_cost: 1.0029 data_cost: 0.0038 ips: 39.8859 images/s
[07/28 05:52:19] ppdet.engine INFO: Epoch: [154] [340/732] learning_rate: 0.088242 loss_vfl: 1.045470 loss_bbox: 0.548911 loss_dfl: 0.461857 loss: 2.059709 eta: 1 day, 8:59:44 batch_cost: 0.9404 data_cost: 0.0054 ips: 42.5349 images/s
[07/28 05:52:45] ppdet.engine INFO: Epoch: [154] [360/732] learning_rate: 0.088213 loss_vfl: 1.120779 loss_bbox: 0.588564 loss_dfl: 0.485551 loss: 2.191693 eta: 1 day, 8:59:20 batch_cost: 1.0142 data_cost: 0.0164 ips: 39.4401 images/s
[07/28 05:53:11] ppdet.engine INFO: Epoch: [154] [380/732] learning_rate: 0.088184 loss_vfl: 1.104833 loss_bbox: 0.572943 loss_dfl: 0.470712 loss: 2.145840 eta: 1 day, 8:58:56 batch_cost: 0.9954 data_cost: 0.0093 ips: 40.1867 images/s
[07/28 05:53:38] ppdet.engine INFO: Epoch: [154] [400/732] learning_rate: 0.088156 loss_vfl: 1.090581 loss_bbox: 0.580697 loss_dfl: 0.471530 loss: 2.118213 eta: 1 day, 8:58:31 batch_cost: 0.9963 data_cost: 0.0040 ips: 40.1484 images/s
[07/28 05:54:03] ppdet.engine INFO: Epoch: [154] [420/732] learning_rate: 0.088127 loss_vfl: 1.066414 loss_bbox: 0.548931 loss_dfl: 0.458532 loss: 2.083837 eta: 1 day, 8:58:07 batch_cost: 0.9978 data_cost: 0.0088 ips: 40.0890 images/s
[07/28 05:54:28] ppdet.engine INFO: Epoch: [154] [440/732] learning_rate: 0.088098 loss_vfl: 1.110632 loss_bbox: 0.555496 loss_dfl: 0.472762 loss: 2.123511 eta: 1 day, 8:57:42 batch_cost: 0.9991 data_cost: 0.0026 ips: 40.0359 images/s
[07/28 05:54:58] ppdet.engine INFO: Epoch: [154] [460/732] learning_rate: 0.088069 loss_vfl: 1.104270 loss_bbox: 0.564753 loss_dfl: 0.474637 loss: 2.149712 eta: 1 day, 8:57:21 batch_cost: 1.1697 data_cost: 0.0096 ips: 34.1955 images/s
[07/28 05:55:22] ppdet.engine INFO: Epoch: [154] [480/732] learning_rate: 0.088041 loss_vfl: 1.141819 loss_bbox: 0.581735 loss_dfl: 0.484199 loss: 2.221365 eta: 1 day, 8:56:55 batch_cost: 0.9440 data_cost: 0.0063 ips: 42.3719 images/s
[07/28 05:55:48] ppdet.engine INFO: Epoch: [154] [500/732] learning_rate: 0.088012 loss_vfl: 1.109010 loss_bbox: 0.570643 loss_dfl: 0.474218 loss: 2.153586 eta: 1 day, 8:56:32 batch_cost: 1.0738 data_cost: 0.1112 ips: 37.2524 images/s
[07/28 05:56:17] ppdet.engine INFO: Epoch: [154] [520/732] learning_rate: 0.087983 loss_vfl: 1.119282 loss_bbox: 0.568174 loss_dfl: 0.471718 loss: 2.164649 eta: 1 day, 8:56:11 batch_cost: 1.1874 data_cost: 0.0823 ips: 33.6873 images/s
[07/28 05:56:43] ppdet.engine INFO: Epoch: [154] [540/732] learning_rate: 0.087954 loss_vfl: 1.140448 loss_bbox: 0.569686 loss_dfl: 0.488249 loss: 2.185961 eta: 1 day, 8:55:46 batch_cost: 0.9628 data_cost: 0.0051 ips: 41.5453 images/s
[07/28 05:57:09] ppdet.engine INFO: Epoch: [154] [560/732] learning_rate: 0.087926 loss_vfl: 1.128332 loss_bbox: 0.566122 loss_dfl: 0.480051 loss: 2.165855 eta: 1 day, 8:55:24 batch_cost: 1.1252 data_cost: 0.0025 ips: 35.5487 images/s
[07/28 05:57:38] ppdet.engine INFO: Epoch: [154] [580/732] learning_rate: 0.087897 loss_vfl: 1.087450 loss_bbox: 0.558587 loss_dfl: 0.470471 loss: 2.109306 eta: 1 day, 8:55:01 batch_cost: 1.0687 data_cost: 0.0145 ips: 37.4292 images/s
[07/28 05:58:04] ppdet.engine INFO: Epoch: [154] [600/732] learning_rate: 0.087868 loss_vfl: 1.097355 loss_bbox: 0.561289 loss_dfl: 0.466760 loss: 2.130418 eta: 1 day, 8:54:37 batch_cost: 1.0072 data_cost: 0.0041 ips: 39.7123 images/s
[07/28 05:58:29] ppdet.engine INFO: Epoch: [154] [620/732] learning_rate: 0.087839 loss_vfl: 1.108017 loss_bbox: 0.567292 loss_dfl: 0.474191 loss: 2.138080 eta: 1 day, 8:54:11 batch_cost: 0.9568 data_cost: 0.0071 ips: 41.8065 images/s
[07/28 05:58:55] ppdet.engine INFO: Epoch: [154] [640/732] learning_rate: 0.087811 loss_vfl: 1.076908 loss_bbox: 0.556570 loss_dfl: 0.467700 loss: 2.092462 eta: 1 day, 8:53:47 batch_cost: 1.0069 data_cost: 0.0078 ips: 39.7277 images/s
[07/28 05:59:22] ppdet.engine INFO: Epoch: [154] [660/732] learning_rate: 0.087782 loss_vfl: 1.041664 loss_bbox: 0.543679 loss_dfl: 0.453747 loss: 2.043003 eta: 1 day, 8:53:24 batch_cost: 1.0846 data_cost: 0.0070 ips: 36.8787 images/s
[07/28 05:59:47] ppdet.engine INFO: Epoch: [154] [680/732] learning_rate: 0.087753 loss_vfl: 1.088012 loss_bbox: 0.546982 loss_dfl: 0.469687 loss: 2.109403 eta: 1 day, 8:53:01 batch_cost: 1.0481 data_cost: 0.0070 ips: 38.1647 images/s
[07/28 06:00:13] ppdet.engine INFO: Epoch: [154] [700/732] learning_rate: 0.087724 loss_vfl: 1.124963 loss_bbox: 0.586641 loss_dfl: 0.491019 loss: 2.189320 eta: 1 day, 8:52:36 batch_cost: 0.9913 data_cost: 0.0069 ips: 40.3513 images/s
[07/28 06:00:38] ppdet.engine INFO: Epoch: [154] [720/732] learning_rate: 0.087696 loss_vfl: 1.120665 loss_bbox: 0.600679 loss_dfl: 0.488904 loss: 2.226687 eta: 1 day, 8:52:11 batch_cost: 0.9643 data_cost: 0.0058 ips: 41.4790 images/s
[07/28 06:01:01] ppdet.engine INFO: Epoch: [155] [  0/732] learning_rate: 0.087678 loss_vfl: 1.118945 loss_bbox: 0.589144 loss_dfl: 0.478028 loss: 2.173370 eta: 1 day, 8:52:03 batch_cost: 1.3702 data_cost: 0.5621 ips: 29.1937 images/s
[07/28 06:01:28] ppdet.engine INFO: Epoch: [155] [ 20/732] learning_rate: 0.087650 loss_vfl: 1.114312 loss_bbox: 0.591931 loss_dfl: 0.491345 loss: 2.195341 eta: 1 day, 8:51:40 batch_cost: 1.0763 data_cost: 0.0070 ips: 37.1645 images/s
[07/28 06:01:55] ppdet.engine INFO: Epoch: [155] [ 40/732] learning_rate: 0.087621 loss_vfl: 1.133396 loss_bbox: 0.592546 loss_dfl: 0.488769 loss: 2.211158 eta: 1 day, 8:51:19 batch_cost: 1.1465 data_cost: 0.0135 ips: 34.8877 images/s
[07/28 06:02:22] ppdet.engine INFO: Epoch: [155] [ 60/732] learning_rate: 0.087592 loss_vfl: 1.087415 loss_bbox: 0.571494 loss_dfl: 0.480248 loss: 2.144122 eta: 1 day, 8:50:57 batch_cost: 1.1336 data_cost: 0.0031 ips: 35.2853 images/s
[07/28 06:02:50] ppdet.engine INFO: Epoch: [155] [ 80/732] learning_rate: 0.087563 loss_vfl: 1.088668 loss_bbox: 0.544961 loss_dfl: 0.462860 loss: 2.104363 eta: 1 day, 8:50:35 batch_cost: 1.1251 data_cost: 0.0068 ips: 35.5511 images/s
[07/28 06:03:15] ppdet.engine INFO: Epoch: [155] [100/732] learning_rate: 0.087535 loss_vfl: 1.115509 loss_bbox: 0.578693 loss_dfl: 0.484538 loss: 2.165030 eta: 1 day, 8:50:11 batch_cost: 1.0367 data_cost: 0.0067 ips: 38.5847 images/s
[07/28 06:03:40] ppdet.engine INFO: Epoch: [155] [120/732] learning_rate: 0.087506 loss_vfl: 1.141460 loss_bbox: 0.587357 loss_dfl: 0.484138 loss: 2.223811 eta: 1 day, 8:49:47 batch_cost: 1.0219 data_cost: 0.0069 ips: 39.1440 images/s
[07/28 06:04:08] ppdet.engine INFO: Epoch: [155] [140/732] learning_rate: 0.087477 loss_vfl: 1.118462 loss_bbox: 0.566435 loss_dfl: 0.468149 loss: 2.142389 eta: 1 day, 8:49:25 batch_cost: 1.1166 data_cost: 0.0099 ips: 35.8220 images/s
[07/28 06:04:35] ppdet.engine INFO: Epoch: [155] [160/732] learning_rate: 0.087448 loss_vfl: 1.122424 loss_bbox: 0.580228 loss_dfl: 0.482690 loss: 2.187992 eta: 1 day, 8:49:02 batch_cost: 1.0908 data_cost: 0.0114 ips: 36.6715 images/s
[07/28 06:05:02] ppdet.engine INFO: Epoch: [155] [180/732] learning_rate: 0.087420 loss_vfl: 1.119858 loss_bbox: 0.573513 loss_dfl: 0.479292 loss: 2.161726 eta: 1 day, 8:48:40 batch_cost: 1.1243 data_cost: 0.0057 ips: 35.5762 images/s
[07/28 06:05:30] ppdet.engine INFO: Epoch: [155] [200/732] learning_rate: 0.087391 loss_vfl: 1.076196 loss_bbox: 0.538352 loss_dfl: 0.459167 loss: 2.077504 eta: 1 day, 8:48:18 batch_cost: 1.1289 data_cost: 0.0039 ips: 35.4334 images/s
[07/28 06:05:57] ppdet.engine INFO: Epoch: [155] [220/732] learning_rate: 0.087362 loss_vfl: 1.132867 loss_bbox: 0.556080 loss_dfl: 0.481007 loss: 2.214325 eta: 1 day, 8:47:55 batch_cost: 1.1022 data_cost: 0.0063 ips: 36.2903 images/s
[07/28 06:06:24] ppdet.engine INFO: Epoch: [155] [240/732] learning_rate: 0.087334 loss_vfl: 1.100147 loss_bbox: 0.563364 loss_dfl: 0.474247 loss: 2.134083 eta: 1 day, 8:47:33 batch_cost: 1.1099 data_cost: 0.0082 ips: 36.0392 images/s
[07/28 06:06:52] ppdet.engine INFO: Epoch: [155] [260/732] learning_rate: 0.087305 loss_vfl: 1.080920 loss_bbox: 0.568888 loss_dfl: 0.469803 loss: 2.135652 eta: 1 day, 8:47:11 batch_cost: 1.1168 data_cost: 0.0206 ips: 35.8157 images/s
[07/28 06:07:18] ppdet.engine INFO: Epoch: [155] [280/732] learning_rate: 0.087276 loss_vfl: 1.107376 loss_bbox: 0.551377 loss_dfl: 0.461891 loss: 2.103372 eta: 1 day, 8:46:46 batch_cost: 0.9932 data_cost: 0.0062 ips: 40.2727 images/s
[07/28 06:07:44] ppdet.engine INFO: Epoch: [155] [300/732] learning_rate: 0.087247 loss_vfl: 1.114988 loss_bbox: 0.567364 loss_dfl: 0.480291 loss: 2.176590 eta: 1 day, 8:46:23 batch_cost: 1.0871 data_cost: 0.0084 ips: 36.7948 images/s
[07/28 06:08:09] ppdet.engine INFO: Epoch: [155] [320/732] learning_rate: 0.087219 loss_vfl: 1.088423 loss_bbox: 0.581852 loss_dfl: 0.474614 loss: 2.135858 eta: 1 day, 8:46:00 batch_cost: 1.0735 data_cost: 0.0140 ips: 37.2597 images/s
[07/28 06:08:37] ppdet.engine INFO: Epoch: [155] [340/732] learning_rate: 0.087190 loss_vfl: 1.046120 loss_bbox: 0.557843 loss_dfl: 0.454700 loss: 2.033108 eta: 1 day, 8:45:40 batch_cost: 1.2108 data_cost: 0.0019 ips: 33.0364 images/s
[07/28 06:09:03] ppdet.engine INFO: Epoch: [155] [360/732] learning_rate: 0.087161 loss_vfl: 1.104511 loss_bbox: 0.569717 loss_dfl: 0.481386 loss: 2.146115 eta: 1 day, 8:45:16 batch_cost: 1.0693 data_cost: 0.0070 ips: 37.4088 images/s
[07/28 06:09:30] ppdet.engine INFO: Epoch: [155] [380/732] learning_rate: 0.087133 loss_vfl: 1.100756 loss_bbox: 0.555755 loss_dfl: 0.468998 loss: 2.130630 eta: 1 day, 8:44:54 batch_cost: 1.1008 data_cost: 0.0082 ips: 36.3378 images/s
[07/28 06:09:57] ppdet.engine INFO: Epoch: [155] [400/732] learning_rate: 0.087104 loss_vfl: 1.100445 loss_bbox: 0.558764 loss_dfl: 0.463594 loss: 2.157843 eta: 1 day, 8:44:32 batch_cost: 1.1314 data_cost: 0.0042 ips: 35.3543 images/s
[07/28 06:10:25] ppdet.engine INFO: Epoch: [155] [420/732] learning_rate: 0.087075 loss_vfl: 1.112730 loss_bbox: 0.555912 loss_dfl: 0.467451 loss: 2.145811 eta: 1 day, 8:44:10 batch_cost: 1.1138 data_cost: 0.0064 ips: 35.9133 images/s
[07/28 06:10:51] ppdet.engine INFO: Epoch: [155] [440/732] learning_rate: 0.087047 loss_vfl: 1.109793 loss_bbox: 0.570422 loss_dfl: 0.473347 loss: 2.164925 eta: 1 day, 8:43:46 batch_cost: 1.0660 data_cost: 0.0109 ips: 37.5238 images/s
[07/28 06:11:17] ppdet.engine INFO: Epoch: [155] [460/732] learning_rate: 0.087018 loss_vfl: 1.073580 loss_bbox: 0.564817 loss_dfl: 0.473503 loss: 2.107314 eta: 1 day, 8:43:22 batch_cost: 0.9985 data_cost: 0.0069 ips: 40.0587 images/s
[07/28 06:11:44] ppdet.engine INFO: Epoch: [155] [480/732] learning_rate: 0.086989 loss_vfl: 1.125231 loss_bbox: 0.587363 loss_dfl: 0.489292 loss: 2.195461 eta: 1 day, 8:42:58 batch_cost: 1.0156 data_cost: 0.0119 ips: 39.3855 images/s
[07/28 06:12:10] ppdet.engine INFO: Epoch: [155] [500/732] learning_rate: 0.086961 loss_vfl: 1.147297 loss_bbox: 0.584837 loss_dfl: 0.493344 loss: 2.256343 eta: 1 day, 8:42:35 batch_cost: 1.0847 data_cost: 0.0058 ips: 36.8765 images/s
[07/28 06:12:37] ppdet.engine INFO: Epoch: [155] [520/732] learning_rate: 0.086932 loss_vfl: 1.135400 loss_bbox: 0.569291 loss_dfl: 0.484899 loss: 2.186032 eta: 1 day, 8:42:11 batch_cost: 1.0383 data_cost: 0.0067 ips: 38.5245 images/s
[07/28 06:13:01] ppdet.engine INFO: Epoch: [155] [540/732] learning_rate: 0.086903 loss_vfl: 1.062932 loss_bbox: 0.536212 loss_dfl: 0.456224 loss: 2.071167 eta: 1 day, 8:41:46 batch_cost: 0.9656 data_cost: 0.0080 ips: 41.4235 images/s
[07/28 06:13:29] ppdet.engine INFO: Epoch: [155] [560/732] learning_rate: 0.086874 loss_vfl: 1.092935 loss_bbox: 0.540289 loss_dfl: 0.466416 loss: 2.138751 eta: 1 day, 8:41:22 batch_cost: 1.0237 data_cost: 0.0108 ips: 39.0748 images/s
[07/28 06:13:56] ppdet.engine INFO: Epoch: [155] [580/732] learning_rate: 0.086846 loss_vfl: 1.109036 loss_bbox: 0.593394 loss_dfl: 0.477832 loss: 2.148687 eta: 1 day, 8:40:58 batch_cost: 1.0255 data_cost: 0.0064 ips: 39.0066 images/s
[07/28 06:14:21] ppdet.engine INFO: Epoch: [155] [600/732] learning_rate: 0.086817 loss_vfl: 1.110250 loss_bbox: 0.573949 loss_dfl: 0.478947 loss: 2.171400 eta: 1 day, 8:40:34 batch_cost: 1.0048 data_cost: 0.0115 ips: 39.8107 images/s
[07/28 06:14:48] ppdet.engine INFO: Epoch: [155] [620/732] learning_rate: 0.086788 loss_vfl: 1.062305 loss_bbox: 0.546668 loss_dfl: 0.465634 loss: 2.072778 eta: 1 day, 8:40:11 batch_cost: 1.0815 data_cost: 0.0052 ips: 36.9843 images/s
[07/28 06:15:15] ppdet.engine INFO: Epoch: [155] [640/732] learning_rate: 0.086760 loss_vfl: 1.069836 loss_bbox: 0.546816 loss_dfl: 0.467471 loss: 2.076965 eta: 1 day, 8:39:49 batch_cost: 1.1285 data_cost: 0.0052 ips: 35.4465 images/s
[07/28 06:15:40] ppdet.engine INFO: Epoch: [155] [660/732] learning_rate: 0.086731 loss_vfl: 1.117047 loss_bbox: 0.571923 loss_dfl: 0.478089 loss: 2.153537 eta: 1 day, 8:39:25 batch_cost: 1.0249 data_cost: 0.0106 ips: 39.0270 images/s
[07/28 06:16:06] ppdet.engine INFO: Epoch: [155] [680/732] learning_rate: 0.086702 loss_vfl: 1.147808 loss_bbox: 0.576182 loss_dfl: 0.486888 loss: 2.222082 eta: 1 day, 8:39:03 batch_cost: 1.1136 data_cost: 0.0075 ips: 35.9204 images/s
[07/28 06:16:32] ppdet.engine INFO: Epoch: [155] [700/732] learning_rate: 0.086674 loss_vfl: 1.149629 loss_bbox: 0.580130 loss_dfl: 0.475142 loss: 2.203014 eta: 1 day, 8:38:39 batch_cost: 1.0122 data_cost: 0.0022 ips: 39.5171 images/s
[07/28 06:16:58] ppdet.engine INFO: Epoch: [155] [720/732] learning_rate: 0.086645 loss_vfl: 1.071766 loss_bbox: 0.547657 loss_dfl: 0.451594 loss: 2.063248 eta: 1 day, 8:38:15 batch_cost: 1.0273 data_cost: 0.0038 ips: 38.9382 images/s
[07/28 06:17:20] ppdet.engine INFO: Epoch: [156] [  0/732] learning_rate: 0.086628 loss_vfl: 1.049728 loss_bbox: 0.542871 loss_dfl: 0.445712 loss: 2.021274 eta: 1 day, 8:38:06 batch_cost: 1.3443 data_cost: 0.4296 ips: 29.7559 images/s
[07/28 06:17:47] ppdet.engine INFO: Epoch: [156] [ 20/732] learning_rate: 0.086599 loss_vfl: 1.074846 loss_bbox: 0.542890 loss_dfl: 0.456489 loss: 2.089561 eta: 1 day, 8:37:42 batch_cost: 1.0237 data_cost: 0.0063 ips: 39.0737 images/s
[07/28 06:18:15] ppdet.engine INFO: Epoch: [156] [ 40/732] learning_rate: 0.086571 loss_vfl: 1.090603 loss_bbox: 0.566398 loss_dfl: 0.471385 loss: 2.137026 eta: 1 day, 8:37:21 batch_cost: 1.2049 data_cost: 0.0082 ips: 33.1989 images/s
[07/28 06:18:41] ppdet.engine INFO: Epoch: [156] [ 60/732] learning_rate: 0.086542 loss_vfl: 1.082636 loss_bbox: 0.562697 loss_dfl: 0.464136 loss: 2.095898 eta: 1 day, 8:36:58 batch_cost: 1.0773 data_cost: 0.0057 ips: 37.1285 images/s
[07/28 06:19:11] ppdet.engine INFO: Epoch: [156] [ 80/732] learning_rate: 0.086513 loss_vfl: 1.093507 loss_bbox: 0.564836 loss_dfl: 0.478254 loss: 2.127220 eta: 1 day, 8:36:38 batch_cost: 1.2235 data_cost: 0.0061 ips: 32.6923 images/s
[07/28 06:19:38] ppdet.engine INFO: Epoch: [156] [100/732] learning_rate: 0.086485 loss_vfl: 1.113974 loss_bbox: 0.557236 loss_dfl: 0.475231 loss: 2.147858 eta: 1 day, 8:36:16 batch_cost: 1.1628 data_cost: 0.0074 ips: 34.3986 images/s
[07/28 06:20:03] ppdet.engine INFO: Epoch: [156] [120/732] learning_rate: 0.086456 loss_vfl: 1.073409 loss_bbox: 0.552472 loss_dfl: 0.465958 loss: 2.108821 eta: 1 day, 8:35:53 batch_cost: 1.0493 data_cost: 0.0057 ips: 38.1219 images/s
[07/28 06:20:31] ppdet.engine INFO: Epoch: [156] [140/732] learning_rate: 0.086427 loss_vfl: 1.087743 loss_bbox: 0.552135 loss_dfl: 0.470361 loss: 2.115515 eta: 1 day, 8:35:31 batch_cost: 1.1578 data_cost: 0.0052 ips: 34.5488 images/s
[07/28 06:20:57] ppdet.engine INFO: Epoch: [156] [160/732] learning_rate: 0.086399 loss_vfl: 1.041880 loss_bbox: 0.527653 loss_dfl: 0.450445 loss: 2.028240 eta: 1 day, 8:35:09 batch_cost: 1.1227 data_cost: 0.0088 ips: 35.6285 images/s
[07/28 06:21:23] ppdet.engine INFO: Epoch: [156] [180/732] learning_rate: 0.086370 loss_vfl: 1.082528 loss_bbox: 0.547114 loss_dfl: 0.465168 loss: 2.134540 eta: 1 day, 8:34:46 batch_cost: 1.0601 data_cost: 0.0089 ips: 37.7333 images/s
[07/28 06:21:52] ppdet.engine INFO: Epoch: [156] [200/732] learning_rate: 0.086341 loss_vfl: 1.097546 loss_bbox: 0.548660 loss_dfl: 0.465426 loss: 2.129647 eta: 1 day, 8:34:25 batch_cost: 1.1904 data_cost: 0.0065 ips: 33.6016 images/s
[07/28 06:22:18] ppdet.engine INFO: Epoch: [156] [220/732] learning_rate: 0.086313 loss_vfl: 1.139662 loss_bbox: 0.583493 loss_dfl: 0.485134 loss: 2.207139 eta: 1 day, 8:34:02 batch_cost: 1.0842 data_cost: 0.0088 ips: 36.8929 images/s
[07/28 06:22:43] ppdet.engine INFO: Epoch: [156] [240/732] learning_rate: 0.086284 loss_vfl: 1.141548 loss_bbox: 0.571560 loss_dfl: 0.480042 loss: 2.181760 eta: 1 day, 8:33:39 batch_cost: 1.0589 data_cost: 0.0051 ips: 37.7739 images/s
[07/28 06:23:10] ppdet.engine INFO: Epoch: [156] [260/732] learning_rate: 0.086256 loss_vfl: 1.126291 loss_bbox: 0.568563 loss_dfl: 0.474956 loss: 2.188332 eta: 1 day, 8:33:16 batch_cost: 1.0810 data_cost: 0.0009 ips: 37.0044 images/s
[07/28 06:23:37] ppdet.engine INFO: Epoch: [156] [280/732] learning_rate: 0.086227 loss_vfl: 1.083629 loss_bbox: 0.565886 loss_dfl: 0.467784 loss: 2.098536 eta: 1 day, 8:32:55 batch_cost: 1.1737 data_cost: 0.0042 ips: 34.0808 images/s
[07/28 06:24:03] ppdet.engine INFO: Epoch: [156] [300/732] learning_rate: 0.086198 loss_vfl: 1.086779 loss_bbox: 0.557689 loss_dfl: 0.462228 loss: 2.097952 eta: 1 day, 8:32:31 batch_cost: 1.0565 data_cost: 0.0070 ips: 37.8611 images/s
[07/28 06:24:29] ppdet.engine INFO: Epoch: [156] [320/732] learning_rate: 0.086170 loss_vfl: 1.116387 loss_bbox: 0.570025 loss_dfl: 0.478945 loss: 2.166872 eta: 1 day, 8:32:08 batch_cost: 1.0869 data_cost: 0.0067 ips: 36.8019 images/s
[07/28 06:24:55] ppdet.engine INFO: Epoch: [156] [340/732] learning_rate: 0.086141 loss_vfl: 1.090793 loss_bbox: 0.568198 loss_dfl: 0.471407 loss: 2.134477 eta: 1 day, 8:31:46 batch_cost: 1.1207 data_cost: 0.0046 ips: 35.6906 images/s
[07/28 06:25:22] ppdet.engine INFO: Epoch: [156] [360/732] learning_rate: 0.086112 loss_vfl: 1.091108 loss_bbox: 0.543500 loss_dfl: 0.462443 loss: 2.070272 eta: 1 day, 8:31:24 batch_cost: 1.1134 data_cost: 0.0118 ips: 35.9264 images/s
[07/28 06:25:49] ppdet.engine INFO: Epoch: [156] [380/732] learning_rate: 0.086084 loss_vfl: 1.114116 loss_bbox: 0.586266 loss_dfl: 0.482466 loss: 2.190282 eta: 1 day, 8:31:02 batch_cost: 1.1561 data_cost: 0.0028 ips: 34.5991 images/s
[07/28 06:26:12] ppdet.engine INFO: Epoch: [156] [400/732] learning_rate: 0.086055 loss_vfl: 1.041629 loss_bbox: 0.539105 loss_dfl: 0.454313 loss: 2.035940 eta: 1 day, 8:30:36 batch_cost: 0.9104 data_cost: 0.0054 ips: 43.9350 images/s
[07/28 06:26:41] ppdet.engine INFO: Epoch: [156] [420/732] learning_rate: 0.086027 loss_vfl: 1.107989 loss_bbox: 0.568042 loss_dfl: 0.470167 loss: 2.140925 eta: 1 day, 8:30:15 batch_cost: 1.1503 data_cost: 0.0047 ips: 34.7731 images/s
[07/28 06:27:07] ppdet.engine INFO: Epoch: [156] [440/732] learning_rate: 0.085998 loss_vfl: 1.134609 loss_bbox: 0.561357 loss_dfl: 0.475250 loss: 2.175904 eta: 1 day, 8:29:52 batch_cost: 1.0891 data_cost: 0.0087 ips: 36.7292 images/s
[07/28 06:27:32] ppdet.engine INFO: Epoch: [156] [460/732] learning_rate: 0.085969 loss_vfl: 1.048664 loss_bbox: 0.529916 loss_dfl: 0.445087 loss: 2.033436 eta: 1 day, 8:29:27 batch_cost: 0.9394 data_cost: 0.0065 ips: 42.5823 images/s
[07/28 06:27:59] ppdet.engine INFO: Epoch: [156] [480/732] learning_rate: 0.085941 loss_vfl: 1.145874 loss_bbox: 0.554658 loss_dfl: 0.479785 loss: 2.172107 eta: 1 day, 8:29:05 batch_cost: 1.1372 data_cost: 0.0043 ips: 35.1732 images/s
[07/28 06:28:26] ppdet.engine INFO: Epoch: [156] [500/732] learning_rate: 0.085912 loss_vfl: 1.153729 loss_bbox: 0.588558 loss_dfl: 0.495160 loss: 2.238712 eta: 1 day, 8:28:43 batch_cost: 1.1394 data_cost: 0.0136 ips: 35.1069 images/s
[07/28 06:28:50] ppdet.engine INFO: Epoch: [156] [520/732] learning_rate: 0.085883 loss_vfl: 1.122614 loss_bbox: 0.579176 loss_dfl: 0.481945 loss: 2.173786 eta: 1 day, 8:28:18 batch_cost: 0.9876 data_cost: 0.0086 ips: 40.5003 images/s
[07/28 06:29:17] ppdet.engine INFO: Epoch: [156] [540/732] learning_rate: 0.085855 loss_vfl: 1.125665 loss_bbox: 0.572524 loss_dfl: 0.484063 loss: 2.179231 eta: 1 day, 8:27:56 batch_cost: 1.1311 data_cost: 0.0059 ips: 35.3632 images/s
[07/28 06:29:44] ppdet.engine INFO: Epoch: [156] [560/732] learning_rate: 0.085826 loss_vfl: 1.106791 loss_bbox: 0.564523 loss_dfl: 0.478791 loss: 2.169786 eta: 1 day, 8:27:35 batch_cost: 1.1474 data_cost: 0.0043 ips: 34.8626 images/s
[07/28 06:30:11] ppdet.engine INFO: Epoch: [156] [580/732] learning_rate: 0.085798 loss_vfl: 1.078817 loss_bbox: 0.562571 loss_dfl: 0.466437 loss: 2.107825 eta: 1 day, 8:27:13 batch_cost: 1.1615 data_cost: 0.0055 ips: 34.4394 images/s
[07/28 06:30:36] ppdet.engine INFO: Epoch: [156] [600/732] learning_rate: 0.085769 loss_vfl: 1.104337 loss_bbox: 0.556417 loss_dfl: 0.470587 loss: 2.154626 eta: 1 day, 8:26:50 batch_cost: 1.0550 data_cost: 0.0092 ips: 37.9150 images/s
[07/28 06:31:05] ppdet.engine INFO: Epoch: [156] [620/732] learning_rate: 0.085741 loss_vfl: 1.088121 loss_bbox: 0.540587 loss_dfl: 0.475097 loss: 2.131691 eta: 1 day, 8:26:29 batch_cost: 1.1927 data_cost: 0.0079 ips: 33.5379 images/s
[07/28 06:31:31] ppdet.engine INFO: Epoch: [156] [640/732] learning_rate: 0.085712 loss_vfl: 1.115189 loss_bbox: 0.562036 loss_dfl: 0.476129 loss: 2.153146 eta: 1 day, 8:26:07 batch_cost: 1.1403 data_cost: 0.0053 ips: 35.0790 images/s
[07/28 06:31:58] ppdet.engine INFO: Epoch: [156] [660/732] learning_rate: 0.085683 loss_vfl: 1.084934 loss_bbox: 0.558174 loss_dfl: 0.469272 loss: 2.099614 eta: 1 day, 8:25:45 batch_cost: 1.1138 data_cost: 0.0041 ips: 35.9125 images/s
[07/28 06:32:24] ppdet.engine INFO: Epoch: [156] [680/732] learning_rate: 0.085655 loss_vfl: 1.094746 loss_bbox: 0.556008 loss_dfl: 0.464404 loss: 2.120439 eta: 1 day, 8:25:22 batch_cost: 1.1092 data_cost: 0.0044 ips: 36.0634 images/s
[07/28 06:32:52] ppdet.engine INFO: Epoch: [156] [700/732] learning_rate: 0.085626 loss_vfl: 1.111784 loss_bbox: 0.573699 loss_dfl: 0.486347 loss: 2.158100 eta: 1 day, 8:25:01 batch_cost: 1.1498 data_cost: 0.0129 ips: 34.7880 images/s
[07/28 06:33:18] ppdet.engine INFO: Epoch: [156] [720/732] learning_rate: 0.085598 loss_vfl: 1.061038 loss_bbox: 0.552287 loss_dfl: 0.464232 loss: 2.104612 eta: 1 day, 8:24:38 batch_cost: 1.0645 data_cost: 0.0061 ips: 37.5746 images/s
[07/28 06:33:39] ppdet.engine INFO: Epoch: [157] [  0/732] learning_rate: 0.085580 loss_vfl: 1.148133 loss_bbox: 0.581486 loss_dfl: 0.482672 loss: 2.230668 eta: 1 day, 8:24:29 batch_cost: 1.3145 data_cost: 0.5035 ips: 30.4301 images/s
[07/28 06:34:08] ppdet.engine INFO: Epoch: [157] [ 20/732] learning_rate: 0.085552 loss_vfl: 1.068947 loss_bbox: 0.546681 loss_dfl: 0.456701 loss: 2.067750 eta: 1 day, 8:24:07 batch_cost: 1.1545 data_cost: 0.0059 ips: 34.6470 images/s
[07/28 06:34:36] ppdet.engine INFO: Epoch: [157] [ 40/732] learning_rate: 0.085523 loss_vfl: 1.099964 loss_bbox: 0.559393 loss_dfl: 0.470647 loss: 2.135444 eta: 1 day, 8:23:44 batch_cost: 1.0663 data_cost: 0.0075 ips: 37.5140 images/s
[07/28 06:35:02] ppdet.engine INFO: Epoch: [157] [ 60/732] learning_rate: 0.085495 loss_vfl: 1.075018 loss_bbox: 0.550813 loss_dfl: 0.462040 loss: 2.093379 eta: 1 day, 8:23:21 batch_cost: 1.0834 data_cost: 0.0033 ips: 36.9203 images/s
[07/28 06:35:28] ppdet.engine INFO: Epoch: [157] [ 80/732] learning_rate: 0.085466 loss_vfl: 1.068388 loss_bbox: 0.550162 loss_dfl: 0.460823 loss: 2.076872 eta: 1 day, 8:22:58 batch_cost: 1.0842 data_cost: 0.0058 ips: 36.8926 images/s
[07/28 06:35:55] ppdet.engine INFO: Epoch: [157] [100/732] learning_rate: 0.085438 loss_vfl: 1.089918 loss_bbox: 0.569330 loss_dfl: 0.468826 loss: 2.130953 eta: 1 day, 8:22:36 batch_cost: 1.1421 data_cost: 0.0094 ips: 35.0238 images/s
[07/28 06:36:23] ppdet.engine INFO: Epoch: [157] [120/732] learning_rate: 0.085409 loss_vfl: 1.109789 loss_bbox: 0.573182 loss_dfl: 0.484627 loss: 2.165800 eta: 1 day, 8:22:14 batch_cost: 1.0929 data_cost: 0.0047 ips: 36.5990 images/s
[07/28 06:36:48] ppdet.engine INFO: Epoch: [157] [140/732] learning_rate: 0.085380 loss_vfl: 1.076592 loss_bbox: 0.559174 loss_dfl: 0.463841 loss: 2.093781 eta: 1 day, 8:21:50 batch_cost: 1.0163 data_cost: 0.0098 ips: 39.3604 images/s
[07/28 06:37:14] ppdet.engine INFO: Epoch: [157] [160/732] learning_rate: 0.085352 loss_vfl: 1.120849 loss_bbox: 0.587237 loss_dfl: 0.493484 loss: 2.198620 eta: 1 day, 8:21:25 batch_cost: 0.9956 data_cost: 0.0063 ips: 40.1782 images/s
[07/28 06:37:40] ppdet.engine INFO: Epoch: [157] [180/732] learning_rate: 0.085323 loss_vfl: 1.054653 loss_bbox: 0.540908 loss_dfl: 0.452187 loss: 2.054172 eta: 1 day, 8:21:01 batch_cost: 1.0263 data_cost: 0.0074 ips: 38.9754 images/s
[07/28 06:38:06] ppdet.engine INFO: Epoch: [157] [200/732] learning_rate: 0.085295 loss_vfl: 1.105880 loss_bbox: 0.586991 loss_dfl: 0.478919 loss: 2.163363 eta: 1 day, 8:20:38 batch_cost: 1.0432 data_cost: 0.0065 ips: 38.3449 images/s
[07/28 06:38:32] ppdet.engine INFO: Epoch: [157] [220/732] learning_rate: 0.085266 loss_vfl: 1.092546 loss_bbox: 0.555458 loss_dfl: 0.466325 loss: 2.129822 eta: 1 day, 8:20:14 batch_cost: 1.0263 data_cost: 0.0089 ips: 38.9734 images/s
[07/28 06:38:59] ppdet.engine INFO: Epoch: [157] [240/732] learning_rate: 0.085238 loss_vfl: 1.100075 loss_bbox: 0.567065 loss_dfl: 0.471007 loss: 2.149960 eta: 1 day, 8:19:51 batch_cost: 1.0580 data_cost: 0.0036 ips: 37.8056 images/s
[07/28 06:39:26] ppdet.engine INFO: Epoch: [157] [260/732] learning_rate: 0.085209 loss_vfl: 1.063476 loss_bbox: 0.544594 loss_dfl: 0.449421 loss: 2.050096 eta: 1 day, 8:19:26 batch_cost: 0.9648 data_cost: 0.0109 ips: 41.4575 images/s
[07/28 06:39:50] ppdet.engine INFO: Epoch: [157] [280/732] learning_rate: 0.085181 loss_vfl: 1.126335 loss_bbox: 0.584606 loss_dfl: 0.480713 loss: 2.176404 eta: 1 day, 8:19:00 batch_cost: 0.9536 data_cost: 0.0134 ips: 41.9447 images/s
[07/28 06:40:18] ppdet.engine INFO: Epoch: [157] [300/732] learning_rate: 0.085152 loss_vfl: 1.077495 loss_bbox: 0.535351 loss_dfl: 0.455965 loss: 2.041515 eta: 1 day, 8:18:39 batch_cost: 1.1711 data_cost: 0.0164 ips: 34.1572 images/s
[07/28 06:40:45] ppdet.engine INFO: Epoch: [157] [320/732] learning_rate: 0.085123 loss_vfl: 1.105573 loss_bbox: 0.557179 loss_dfl: 0.476743 loss: 2.128499 eta: 1 day, 8:18:16 batch_cost: 1.0633 data_cost: 0.0060 ips: 37.6199 images/s
[07/28 06:41:10] ppdet.engine INFO: Epoch: [157] [340/732] learning_rate: 0.085095 loss_vfl: 1.064324 loss_bbox: 0.563085 loss_dfl: 0.457107 loss: 2.092108 eta: 1 day, 8:17:52 batch_cost: 1.0191 data_cost: 0.0059 ips: 39.2502 images/s
[07/28 06:41:38] ppdet.engine INFO: Epoch: [157] [360/732] learning_rate: 0.085066 loss_vfl: 1.101192 loss_bbox: 0.572002 loss_dfl: 0.481919 loss: 2.163527 eta: 1 day, 8:17:31 batch_cost: 1.1837 data_cost: 0.0065 ips: 33.7930 images/s
[07/28 06:42:04] ppdet.engine INFO: Epoch: [157] [380/732] learning_rate: 0.085038 loss_vfl: 1.059329 loss_bbox: 0.547618 loss_dfl: 0.457968 loss: 2.035332 eta: 1 day, 8:17:07 batch_cost: 1.0181 data_cost: 0.0146 ips: 39.2904 images/s
[07/28 06:42:29] ppdet.engine INFO: Epoch: [157] [400/732] learning_rate: 0.085009 loss_vfl: 1.087918 loss_bbox: 0.547710 loss_dfl: 0.457916 loss: 2.086417 eta: 1 day, 8:16:43 batch_cost: 1.0086 data_cost: 0.0065 ips: 39.6600 images/s
[07/28 06:42:57] ppdet.engine INFO: Epoch: [157] [420/732] learning_rate: 0.084981 loss_vfl: 1.066036 loss_bbox: 0.568725 loss_dfl: 0.462072 loss: 2.113575 eta: 1 day, 8:16:19 batch_cost: 1.0661 data_cost: 0.0091 ips: 37.5190 images/s
[07/28 06:43:23] ppdet.engine INFO: Epoch: [157] [440/732] learning_rate: 0.084952 loss_vfl: 1.054093 loss_bbox: 0.538510 loss_dfl: 0.452462 loss: 2.047808 eta: 1 day, 8:15:55 batch_cost: 0.9736 data_cost: 0.0091 ips: 41.0836 images/s
[07/28 06:43:50] ppdet.engine INFO: Epoch: [157] [460/732] learning_rate: 0.084924 loss_vfl: 1.109939 loss_bbox: 0.562048 loss_dfl: 0.475786 loss: 2.138341 eta: 1 day, 8:15:32 batch_cost: 1.1157 data_cost: 0.0051 ips: 35.8506 images/s
[07/28 06:44:15] ppdet.engine INFO: Epoch: [157] [480/732] learning_rate: 0.084895 loss_vfl: 1.122856 loss_bbox: 0.575159 loss_dfl: 0.470020 loss: 2.159418 eta: 1 day, 8:15:08 batch_cost: 0.9770 data_cost: 0.0107 ips: 40.9407 images/s
[07/28 06:44:40] ppdet.engine INFO: Epoch: [157] [500/732] learning_rate: 0.084867 loss_vfl: 1.099156 loss_bbox: 0.566512 loss_dfl: 0.463799 loss: 2.128906 eta: 1 day, 8:14:43 batch_cost: 0.9761 data_cost: 0.0093 ips: 40.9792 images/s
[07/28 06:45:06] ppdet.engine INFO: Epoch: [157] [520/732] learning_rate: 0.084838 loss_vfl: 1.087838 loss_bbox: 0.564901 loss_dfl: 0.471161 loss: 2.117648 eta: 1 day, 8:14:20 batch_cost: 1.0744 data_cost: 0.0041 ips: 37.2284 images/s
[07/28 06:45:34] ppdet.engine INFO: Epoch: [157] [540/732] learning_rate: 0.084810 loss_vfl: 1.055613 loss_bbox: 0.549063 loss_dfl: 0.461152 loss: 2.076435 eta: 1 day, 8:13:57 batch_cost: 1.0648 data_cost: 0.0022 ips: 37.5651 images/s
[07/28 06:45:59] ppdet.engine INFO: Epoch: [157] [560/732] learning_rate: 0.084781 loss_vfl: 1.126563 loss_bbox: 0.588470 loss_dfl: 0.499725 loss: 2.238675 eta: 1 day, 8:13:32 batch_cost: 0.9723 data_cost: 0.0051 ips: 41.1404 images/s
[07/28 06:46:27] ppdet.engine INFO: Epoch: [157] [580/732] learning_rate: 0.084753 loss_vfl: 1.107818 loss_bbox: 0.581154 loss_dfl: 0.473444 loss: 2.154490 eta: 1 day, 8:13:10 batch_cost: 1.1371 data_cost: 0.0044 ips: 35.1761 images/s
[07/28 06:46:53] ppdet.engine INFO: Epoch: [157] [600/732] learning_rate: 0.084724 loss_vfl: 1.172535 loss_bbox: 0.590674 loss_dfl: 0.500469 loss: 2.259104 eta: 1 day, 8:12:47 batch_cost: 1.0641 data_cost: 0.0040 ips: 37.5913 images/s
[07/28 06:47:20] ppdet.engine INFO: Epoch: [157] [620/732] learning_rate: 0.084696 loss_vfl: 1.119122 loss_bbox: 0.585651 loss_dfl: 0.482386 loss: 2.193322 eta: 1 day, 8:12:25 batch_cost: 1.1364 data_cost: 0.0017 ips: 35.1980 images/s
[07/28 06:47:47] ppdet.engine INFO: Epoch: [157] [640/732] learning_rate: 0.084667 loss_vfl: 1.128427 loss_bbox: 0.594347 loss_dfl: 0.487152 loss: 2.203294 eta: 1 day, 8:12:01 batch_cost: 1.0280 data_cost: 0.0087 ips: 38.9119 images/s
[07/28 06:48:13] ppdet.engine INFO: Epoch: [157] [660/732] learning_rate: 0.084639 loss_vfl: 1.074132 loss_bbox: 0.562077 loss_dfl: 0.458716 loss: 2.073956 eta: 1 day, 8:11:38 batch_cost: 1.0668 data_cost: 0.0045 ips: 37.4964 images/s
[07/28 06:48:39] ppdet.engine INFO: Epoch: [157] [680/732] learning_rate: 0.084610 loss_vfl: 1.090202 loss_bbox: 0.544918 loss_dfl: 0.463928 loss: 2.075885 eta: 1 day, 8:11:14 batch_cost: 1.0282 data_cost: 0.0049 ips: 38.9029 images/s
[07/28 06:49:06] ppdet.engine INFO: Epoch: [157] [700/732] learning_rate: 0.084582 loss_vfl: 1.087905 loss_bbox: 0.572340 loss_dfl: 0.485993 loss: 2.141583 eta: 1 day, 8:10:50 batch_cost: 1.0025 data_cost: 0.0129 ips: 39.9007 images/s
[07/28 06:49:31] ppdet.engine INFO: Epoch: [157] [720/732] learning_rate: 0.084553 loss_vfl: 1.083121 loss_bbox: 0.530282 loss_dfl: 0.468426 loss: 2.109592 eta: 1 day, 8:10:25 batch_cost: 0.9588 data_cost: 0.0061 ips: 41.7204 images/s
[07/28 06:49:54] ppdet.engine INFO: Epoch: [158] [  0/732] learning_rate: 0.084536 loss_vfl: 1.077530 loss_bbox: 0.558878 loss_dfl: 0.471987 loss: 2.120292 eta: 1 day, 8:10:17 batch_cost: 1.3683 data_cost: 0.5673 ips: 29.2344 images/s
[07/28 06:50:22] ppdet.engine INFO: Epoch: [158] [ 20/732] learning_rate: 0.084508 loss_vfl: 1.137471 loss_bbox: 0.584887 loss_dfl: 0.485472 loss: 2.185394 eta: 1 day, 8:09:57 batch_cost: 1.2434 data_cost: 0.0053 ips: 32.1695 images/s
[07/28 06:50:49] ppdet.engine INFO: Epoch: [158] [ 40/732] learning_rate: 0.084479 loss_vfl: 1.068990 loss_bbox: 0.537915 loss_dfl: 0.451900 loss: 2.059309 eta: 1 day, 8:09:35 batch_cost: 1.1120 data_cost: 0.0060 ips: 35.9699 images/s
[07/28 06:51:16] ppdet.engine INFO: Epoch: [158] [ 60/732] learning_rate: 0.084451 loss_vfl: 1.061312 loss_bbox: 0.547941 loss_dfl: 0.456117 loss: 2.066030 eta: 1 day, 8:09:12 batch_cost: 1.0917 data_cost: 0.0026 ips: 36.6406 images/s
[07/28 06:51:42] ppdet.engine INFO: Epoch: [158] [ 80/732] learning_rate: 0.084422 loss_vfl: 1.090701 loss_bbox: 0.549581 loss_dfl: 0.459547 loss: 2.089818 eta: 1 day, 8:08:51 batch_cost: 1.1514 data_cost: 0.0043 ips: 34.7400 images/s
[07/28 06:52:08] ppdet.engine INFO: Epoch: [158] [100/732] learning_rate: 0.084394 loss_vfl: 1.087579 loss_bbox: 0.565549 loss_dfl: 0.476310 loss: 2.134785 eta: 1 day, 8:08:28 batch_cost: 1.0831 data_cost: 0.0060 ips: 36.9300 images/s
[07/28 06:52:32] ppdet.engine INFO: Epoch: [158] [120/732] learning_rate: 0.084365 loss_vfl: 1.094538 loss_bbox: 0.560100 loss_dfl: 0.466884 loss: 2.116182 eta: 1 day, 8:08:03 batch_cost: 0.9715 data_cost: 0.0111 ips: 41.1715 images/s
[07/28 06:52:59] ppdet.engine INFO: Epoch: [158] [140/732] learning_rate: 0.084337 loss_vfl: 1.056413 loss_bbox: 0.557629 loss_dfl: 0.450728 loss: 2.064179 eta: 1 day, 8:07:40 batch_cost: 1.0752 data_cost: 0.0054 ips: 37.2036 images/s
[07/28 06:53:26] ppdet.engine INFO: Epoch: [158] [160/732] learning_rate: 0.084308 loss_vfl: 1.088589 loss_bbox: 0.565721 loss_dfl: 0.470655 loss: 2.125341 eta: 1 day, 8:07:17 batch_cost: 1.0799 data_cost: 0.0090 ips: 37.0413 images/s
[07/28 06:53:51] ppdet.engine INFO: Epoch: [158] [180/732] learning_rate: 0.084280 loss_vfl: 1.094859 loss_bbox: 0.567036 loss_dfl: 0.475460 loss: 2.134892 eta: 1 day, 8:06:52 batch_cost: 0.9553 data_cost: 0.0031 ips: 41.8730 images/s
[07/28 06:54:16] ppdet.engine INFO: Epoch: [158] [200/732] learning_rate: 0.084251 loss_vfl: 1.071530 loss_bbox: 0.554084 loss_dfl: 0.459024 loss: 2.088702 eta: 1 day, 8:06:27 batch_cost: 0.9993 data_cost: 0.0095 ips: 40.0263 images/s
[07/28 06:54:42] ppdet.engine INFO: Epoch: [158] [220/732] learning_rate: 0.084223 loss_vfl: 1.107418 loss_bbox: 0.569852 loss_dfl: 0.472105 loss: 2.142663 eta: 1 day, 8:06:04 batch_cost: 1.0553 data_cost: 0.0019 ips: 37.9036 images/s
[07/28 06:55:08] ppdet.engine INFO: Epoch: [158] [240/732] learning_rate: 0.084194 loss_vfl: 1.077264 loss_bbox: 0.553385 loss_dfl: 0.465129 loss: 2.083583 eta: 1 day, 8:05:40 batch_cost: 1.0358 data_cost: 0.0042 ips: 38.6171 images/s
[07/28 06:55:34] ppdet.engine INFO: Epoch: [158] [260/732] learning_rate: 0.084166 loss_vfl: 1.100761 loss_bbox: 0.573413 loss_dfl: 0.470195 loss: 2.136598 eta: 1 day, 8:05:16 batch_cost: 1.0095 data_cost: 0.0076 ips: 39.6246 images/s
[07/28 06:56:01] ppdet.engine INFO: Epoch: [158] [280/732] learning_rate: 0.084137 loss_vfl: 1.147838 loss_bbox: 0.580474 loss_dfl: 0.495443 loss: 2.230962 eta: 1 day, 8:04:54 batch_cost: 1.0876 data_cost: 0.0041 ips: 36.7792 images/s
[07/28 06:56:28] ppdet.engine INFO: Epoch: [158] [300/732] learning_rate: 0.084109 loss_vfl: 1.090667 loss_bbox: 0.564555 loss_dfl: 0.469749 loss: 2.154940 eta: 1 day, 8:04:31 batch_cost: 1.1245 data_cost: 0.0041 ips: 35.5726 images/s
[07/28 06:56:54] ppdet.engine INFO: Epoch: [158] [320/732] learning_rate: 0.084081 loss_vfl: 1.085109 loss_bbox: 0.542104 loss_dfl: 0.462555 loss: 2.074924 eta: 1 day, 8:04:07 batch_cost: 0.9915 data_cost: 0.1346 ips: 40.3414 images/s
[07/28 06:57:19] ppdet.engine INFO: Epoch: [158] [340/732] learning_rate: 0.084052 loss_vfl: 1.110838 loss_bbox: 0.576595 loss_dfl: 0.471238 loss: 2.151872 eta: 1 day, 8:03:43 batch_cost: 1.0103 data_cost: 0.0084 ips: 39.5930 images/s
[07/28 06:57:46] ppdet.engine INFO: Epoch: [158] [360/732] learning_rate: 0.084024 loss_vfl: 1.086674 loss_bbox: 0.555213 loss_dfl: 0.465358 loss: 2.104578 eta: 1 day, 8:03:21 batch_cost: 1.1574 data_cost: 0.0037 ips: 34.5602 images/s
[07/28 06:58:13] ppdet.engine INFO: Epoch: [158] [380/732] learning_rate: 0.083995 loss_vfl: 1.058321 loss_bbox: 0.545123 loss_dfl: 0.457684 loss: 2.042420 eta: 1 day, 8:03:00 batch_cost: 1.1462 data_cost: 0.0066 ips: 34.8988 images/s
[07/28 06:58:40] ppdet.engine INFO: Epoch: [158] [400/732] learning_rate: 0.083967 loss_vfl: 1.117268 loss_bbox: 0.576246 loss_dfl: 0.484222 loss: 2.172363 eta: 1 day, 8:02:39 batch_cost: 1.2100 data_cost: 0.0051 ips: 33.0579 images/s
[07/28 06:59:06] ppdet.engine INFO: Epoch: [158] [420/732] learning_rate: 0.083938 loss_vfl: 1.087134 loss_bbox: 0.573125 loss_dfl: 0.462964 loss: 2.101450 eta: 1 day, 8:02:15 batch_cost: 1.0162 data_cost: 0.0073 ips: 39.3617 images/s
[07/28 06:59:32] ppdet.engine INFO: Epoch: [158] [440/732] learning_rate: 0.083910 loss_vfl: 1.114872 loss_bbox: 0.564513 loss_dfl: 0.475478 loss: 2.155809 eta: 1 day, 8:01:51 batch_cost: 1.0409 data_cost: 0.0064 ips: 38.4270 images/s
[07/28 06:59:57] ppdet.engine INFO: Epoch: [158] [460/732] learning_rate: 0.083881 loss_vfl: 1.092600 loss_bbox: 0.574418 loss_dfl: 0.472838 loss: 2.140384 eta: 1 day, 8:01:27 batch_cost: 0.9998 data_cost: 0.0057 ips: 40.0095 images/s
[07/28 07:00:23] ppdet.engine INFO: Epoch: [158] [480/732] learning_rate: 0.083853 loss_vfl: 1.102556 loss_bbox: 0.563499 loss_dfl: 0.470093 loss: 2.140680 eta: 1 day, 8:01:04 batch_cost: 1.0821 data_cost: 0.0049 ips: 36.9645 images/s
[07/28 07:00:50] ppdet.engine INFO: Epoch: [158] [500/732] learning_rate: 0.083825 loss_vfl: 1.139725 loss_bbox: 0.578802 loss_dfl: 0.480395 loss: 2.220951 eta: 1 day, 8:00:41 batch_cost: 1.0330 data_cost: 0.0068 ips: 38.7209 images/s
[07/28 07:01:14] ppdet.engine INFO: Epoch: [158] [520/732] learning_rate: 0.083796 loss_vfl: 1.066187 loss_bbox: 0.549195 loss_dfl: 0.454337 loss: 2.062772 eta: 1 day, 8:00:16 batch_cost: 0.9702 data_cost: 0.0113 ips: 41.2274 images/s
[07/28 07:01:40] ppdet.engine INFO: Epoch: [158] [540/732] learning_rate: 0.083768 loss_vfl: 1.059025 loss_bbox: 0.558566 loss_dfl: 0.459150 loss: 2.068132 eta: 1 day, 7:59:52 batch_cost: 1.0444 data_cost: 0.0092 ips: 38.2982 images/s
[07/28 07:02:06] ppdet.engine INFO: Epoch: [158] [560/732] learning_rate: 0.083739 loss_vfl: 1.087660 loss_bbox: 0.566097 loss_dfl: 0.474046 loss: 2.135170 eta: 1 day, 7:59:29 batch_cost: 1.0578 data_cost: 0.0132 ips: 37.8139 images/s
[07/28 07:02:33] ppdet.engine INFO: Epoch: [158] [580/732] learning_rate: 0.083711 loss_vfl: 1.086925 loss_bbox: 0.546508 loss_dfl: 0.465077 loss: 2.114141 eta: 1 day, 7:59:08 batch_cost: 1.2038 data_cost: 0.0078 ips: 33.2277 images/s
[07/28 07:03:00] ppdet.engine INFO: Epoch: [158] [600/732] learning_rate: 0.083682 loss_vfl: 1.051529 loss_bbox: 0.547570 loss_dfl: 0.452201 loss: 2.071624 eta: 1 day, 7:58:47 batch_cost: 1.1882 data_cost: 0.0069 ips: 33.6642 images/s
[07/28 07:03:26] ppdet.engine INFO: Epoch: [158] [620/732] learning_rate: 0.083654 loss_vfl: 1.093030 loss_bbox: 0.566900 loss_dfl: 0.470142 loss: 2.127613 eta: 1 day, 7:58:24 batch_cost: 1.0614 data_cost: 0.0031 ips: 37.6869 images/s
[07/28 07:03:52] ppdet.engine INFO: Epoch: [158] [640/732] learning_rate: 0.083626 loss_vfl: 1.118790 loss_bbox: 0.572102 loss_dfl: 0.480755 loss: 2.188416 eta: 1 day, 7:58:00 batch_cost: 1.0346 data_cost: 0.0062 ips: 38.6609 images/s
[07/28 07:04:19] ppdet.engine INFO: Epoch: [158] [660/732] learning_rate: 0.083597 loss_vfl: 1.099205 loss_bbox: 0.559909 loss_dfl: 0.464479 loss: 2.126625 eta: 1 day, 7:57:37 batch_cost: 1.0627 data_cost: 0.0046 ips: 37.6400 images/s
[07/28 07:04:46] ppdet.engine INFO: Epoch: [158] [680/732] learning_rate: 0.083569 loss_vfl: 1.138922 loss_bbox: 0.584111 loss_dfl: 0.484558 loss: 2.186911 eta: 1 day, 7:57:16 batch_cost: 1.1597 data_cost: 0.0042 ips: 34.4922 images/s
[07/28 07:05:11] ppdet.engine INFO: Epoch: [158] [700/732] learning_rate: 0.083540 loss_vfl: 1.061473 loss_bbox: 0.545502 loss_dfl: 0.460978 loss: 2.079453 eta: 1 day, 7:56:51 batch_cost: 0.9750 data_cost: 0.0075 ips: 41.0237 images/s
[07/28 07:05:38] ppdet.engine INFO: Epoch: [158] [720/732] learning_rate: 0.083512 loss_vfl: 1.083213 loss_bbox: 0.570331 loss_dfl: 0.473253 loss: 2.122310 eta: 1 day, 7:56:28 batch_cost: 1.0592 data_cost: 0.0145 ips: 37.7656 images/s
[07/28 07:05:56] ppdet.engine INFO: Epoch: [159] [  0/732] learning_rate: 0.083495 loss_vfl: 1.053417 loss_bbox: 0.568423 loss_dfl: 0.470893 loss: 2.100032 eta: 1 day, 7:56:16 batch_cost: 1.1704 data_cost: 0.3891 ips: 34.1766 images/s
[07/28 07:06:28] ppdet.engine INFO: Epoch: [159] [ 20/732] learning_rate: 0.083467 loss_vfl: 1.100771 loss_bbox: 0.549504 loss_dfl: 0.468911 loss: 2.121035 eta: 1 day, 7:55:59 batch_cost: 1.3896 data_cost: 0.0040 ips: 28.7844 images/s
[07/28 07:06:57] ppdet.engine INFO: Epoch: [159] [ 40/732] learning_rate: 0.083438 loss_vfl: 1.147850 loss_bbox: 0.586316 loss_dfl: 0.491815 loss: 2.217526 eta: 1 day, 7:55:37 batch_cost: 1.1802 data_cost: 0.0092 ips: 33.8936 images/s
[07/28 07:07:24] ppdet.engine INFO: Epoch: [159] [ 60/732] learning_rate: 0.083410 loss_vfl: 1.080310 loss_bbox: 0.541003 loss_dfl: 0.462929 loss: 2.104935 eta: 1 day, 7:55:15 batch_cost: 1.0984 data_cost: 0.0109 ips: 36.4153 images/s
[07/28 07:07:50] ppdet.engine INFO: Epoch: [159] [ 80/732] learning_rate: 0.083381 loss_vfl: 1.076646 loss_bbox: 0.570596 loss_dfl: 0.467965 loss: 2.094254 eta: 1 day, 7:54:52 batch_cost: 1.0569 data_cost: 0.0115 ips: 37.8449 images/s
[07/28 07:08:16] ppdet.engine INFO: Epoch: [159] [100/732] learning_rate: 0.083353 loss_vfl: 1.085708 loss_bbox: 0.562931 loss_dfl: 0.471386 loss: 2.108462 eta: 1 day, 7:54:30 batch_cost: 1.1396 data_cost: 0.0120 ips: 35.1001 images/s
[07/28 07:08:44] ppdet.engine INFO: Epoch: [159] [120/732] learning_rate: 0.083325 loss_vfl: 1.071913 loss_bbox: 0.550863 loss_dfl: 0.463018 loss: 2.109069 eta: 1 day, 7:54:07 batch_cost: 1.0853 data_cost: 0.0046 ips: 36.8557 images/s
[07/28 07:09:09] ppdet.engine INFO: Epoch: [159] [140/732] learning_rate: 0.083296 loss_vfl: 1.105056 loss_bbox: 0.549558 loss_dfl: 0.467098 loss: 2.129721 eta: 1 day, 7:53:43 batch_cost: 1.0135 data_cost: 0.0064 ips: 39.4662 images/s
[07/28 07:09:36] ppdet.engine INFO: Epoch: [159] [160/732] learning_rate: 0.083268 loss_vfl: 1.117853 loss_bbox: 0.576244 loss_dfl: 0.482375 loss: 2.192894 eta: 1 day, 7:53:20 batch_cost: 1.0913 data_cost: 0.0015 ips: 36.6520 images/s
[07/28 07:10:04] ppdet.engine INFO: Epoch: [159] [180/732] learning_rate: 0.083239 loss_vfl: 1.075666 loss_bbox: 0.545205 loss_dfl: 0.464339 loss: 2.070619 eta: 1 day, 7:52:58 batch_cost: 1.1347 data_cost: 0.0059 ips: 35.2526 images/s
[07/28 07:10:29] ppdet.engine INFO: Epoch: [159] [200/732] learning_rate: 0.083211 loss_vfl: 1.137552 loss_bbox: 0.577168 loss_dfl: 0.490335 loss: 2.218114 eta: 1 day, 7:52:35 batch_cost: 1.0504 data_cost: 0.0170 ips: 38.0809 images/s
[07/28 07:10:57] ppdet.engine INFO: Epoch: [159] [220/732] learning_rate: 0.083183 loss_vfl: 1.085243 loss_bbox: 0.572686 loss_dfl: 0.477580 loss: 2.144826 eta: 1 day, 7:52:13 batch_cost: 1.1131 data_cost: 0.0143 ips: 35.9342 images/s
[07/28 07:11:24] ppdet.engine INFO: Epoch: [159] [240/732] learning_rate: 0.083154 loss_vfl: 1.121917 loss_bbox: 0.592963 loss_dfl: 0.490084 loss: 2.183229 eta: 1 day, 7:51:50 batch_cost: 1.1182 data_cost: 0.0015 ips: 35.7716 images/s
[07/28 07:11:50] ppdet.engine INFO: Epoch: [159] [260/732] learning_rate: 0.083126 loss_vfl: 1.135837 loss_bbox: 0.579260 loss_dfl: 0.489750 loss: 2.211746 eta: 1 day, 7:51:28 batch_cost: 1.0865 data_cost: 0.0077 ips: 36.8163 images/s
[07/28 07:12:17] ppdet.engine INFO: Epoch: [159] [280/732] learning_rate: 0.083098 loss_vfl: 1.081446 loss_bbox: 0.547385 loss_dfl: 0.468627 loss: 2.090703 eta: 1 day, 7:51:06 batch_cost: 1.1403 data_cost: 0.0047 ips: 35.0776 images/s
[07/28 07:12:44] ppdet.engine INFO: Epoch: [159] [300/732] learning_rate: 0.083069 loss_vfl: 1.111742 loss_bbox: 0.568752 loss_dfl: 0.480319 loss: 2.152900 eta: 1 day, 7:50:43 batch_cost: 1.1063 data_cost: 0.0048 ips: 36.1569 images/s
[07/28 07:13:11] ppdet.engine INFO: Epoch: [159] [320/732] learning_rate: 0.083041 loss_vfl: 1.073072 loss_bbox: 0.550325 loss_dfl: 0.455585 loss: 2.076793 eta: 1 day, 7:50:21 batch_cost: 1.0973 data_cost: 0.0073 ips: 36.4533 images/s
[07/28 07:13:37] ppdet.engine INFO: Epoch: [159] [340/732] learning_rate: 0.083012 loss_vfl: 1.110807 loss_bbox: 0.584690 loss_dfl: 0.478130 loss: 2.156702 eta: 1 day, 7:49:56 batch_cost: 0.9650 data_cost: 0.0106 ips: 41.4515 images/s
[07/28 07:14:05] ppdet.engine INFO: Epoch: [159] [360/732] learning_rate: 0.082984 loss_vfl: 1.161864 loss_bbox: 0.593912 loss_dfl: 0.498756 loss: 2.263613 eta: 1 day, 7:49:34 batch_cost: 1.1094 data_cost: 0.0099 ips: 36.0546 images/s
[07/28 07:14:30] ppdet.engine INFO: Epoch: [159] [380/732] learning_rate: 0.082956 loss_vfl: 1.080566 loss_bbox: 0.551527 loss_dfl: 0.466766 loss: 2.115136 eta: 1 day, 7:49:10 batch_cost: 1.0139 data_cost: 0.0040 ips: 39.4518 images/s
[07/28 07:14:57] ppdet.engine INFO: Epoch: [159] [400/732] learning_rate: 0.082927 loss_vfl: 1.053270 loss_bbox: 0.552814 loss_dfl: 0.456819 loss: 2.039091 eta: 1 day, 7:48:48 batch_cost: 1.1695 data_cost: 0.0059 ips: 34.2023 images/s
[07/28 07:15:24] ppdet.engine INFO: Epoch: [159] [420/732] learning_rate: 0.082899 loss_vfl: 1.169762 loss_bbox: 0.598844 loss_dfl: 0.502099 loss: 2.283807 eta: 1 day, 7:48:25 batch_cost: 1.0612 data_cost: 0.0099 ips: 37.6917 images/s
[07/28 07:15:51] ppdet.engine INFO: Epoch: [159] [440/732] learning_rate: 0.082871 loss_vfl: 1.123875 loss_bbox: 0.542363 loss_dfl: 0.454658 loss: 2.113784 eta: 1 day, 7:48:01 batch_cost: 1.0302 data_cost: 0.0058 ips: 38.8291 images/s
[07/28 07:16:16] ppdet.engine INFO: Epoch: [159] [460/732] learning_rate: 0.082842 loss_vfl: 1.086478 loss_bbox: 0.547666 loss_dfl: 0.466890 loss: 2.081533 eta: 1 day, 7:47:38 batch_cost: 1.0736 data_cost: 0.0076 ips: 37.2573 images/s
[07/28 07:16:42] ppdet.engine INFO: Epoch: [159] [480/732] learning_rate: 0.082814 loss_vfl: 1.090817 loss_bbox: 0.550297 loss_dfl: 0.460504 loss: 2.094141 eta: 1 day, 7:47:15 batch_cost: 1.0338 data_cost: 0.0044 ips: 38.6909 images/s
[07/28 07:17:10] ppdet.engine INFO: Epoch: [159] [500/732] learning_rate: 0.082786 loss_vfl: 1.073556 loss_bbox: 0.556468 loss_dfl: 0.460891 loss: 2.091308 eta: 1 day, 7:46:53 batch_cost: 1.1735 data_cost: 0.0045 ips: 34.0846 images/s
[07/28 07:17:35] ppdet.engine INFO: Epoch: [159] [520/732] learning_rate: 0.082757 loss_vfl: 1.071810 loss_bbox: 0.532822 loss_dfl: 0.460459 loss: 2.075720 eta: 1 day, 7:46:29 batch_cost: 1.0174 data_cost: 0.0057 ips: 39.3174 images/s
[07/28 07:18:01] ppdet.engine INFO: Epoch: [159] [540/732] learning_rate: 0.082729 loss_vfl: 1.091930 loss_bbox: 0.577569 loss_dfl: 0.482816 loss: 2.151303 eta: 1 day, 7:46:05 batch_cost: 1.0053 data_cost: 0.0068 ips: 39.7903 images/s
[07/28 07:18:28] ppdet.engine INFO: Epoch: [159] [560/732] learning_rate: 0.082701 loss_vfl: 1.041372 loss_bbox: 0.544003 loss_dfl: 0.459239 loss: 2.051331 eta: 1 day, 7:45:42 batch_cost: 1.0839 data_cost: 0.0140 ips: 36.9052 images/s
[07/28 07:18:55] ppdet.engine INFO: Epoch: [159] [580/732] learning_rate: 0.082672 loss_vfl: 1.113312 loss_bbox: 0.584115 loss_dfl: 0.479023 loss: 2.152299 eta: 1 day, 7:45:20 batch_cost: 1.1204 data_cost: 0.0098 ips: 35.7027 images/s
[07/28 07:19:21] ppdet.engine INFO: Epoch: [159] [600/732] learning_rate: 0.082644 loss_vfl: 1.073565 loss_bbox: 0.523804 loss_dfl: 0.445788 loss: 2.050324 eta: 1 day, 7:44:57 batch_cost: 1.0676 data_cost: 0.0043 ips: 37.4661 images/s
[07/28 07:19:47] ppdet.engine INFO: Epoch: [159] [620/732] learning_rate: 0.082616 loss_vfl: 1.097930 loss_bbox: 0.548582 loss_dfl: 0.458811 loss: 2.108650 eta: 1 day, 7:44:35 batch_cost: 1.1135 data_cost: 0.0103 ips: 35.9241 images/s
[07/28 07:20:13] ppdet.engine INFO: Epoch: [159] [640/732] learning_rate: 0.082587 loss_vfl: 1.071808 loss_bbox: 0.567967 loss_dfl: 0.462909 loss: 2.121583 eta: 1 day, 7:44:11 batch_cost: 1.0162 data_cost: 0.0074 ips: 39.3633 images/s
[07/28 07:20:38] ppdet.engine INFO: Epoch: [159] [660/732] learning_rate: 0.082559 loss_vfl: 1.125016 loss_bbox: 0.564043 loss_dfl: 0.466262 loss: 2.143599 eta: 1 day, 7:43:46 batch_cost: 0.9711 data_cost: 0.0167 ips: 41.1886 images/s
[07/28 07:21:06] ppdet.engine INFO: Epoch: [159] [680/732] learning_rate: 0.082531 loss_vfl: 1.064860 loss_bbox: 0.543732 loss_dfl: 0.454354 loss: 2.066304 eta: 1 day, 7:43:22 batch_cost: 1.0364 data_cost: 0.0034 ips: 38.5961 images/s
[07/28 07:21:30] ppdet.engine INFO: Epoch: [159] [700/732] learning_rate: 0.082502 loss_vfl: 1.147142 loss_bbox: 0.570792 loss_dfl: 0.486435 loss: 2.205966 eta: 1 day, 7:42:59 batch_cost: 1.0726 data_cost: 0.0059 ips: 37.2942 images/s
[07/28 07:21:58] ppdet.engine INFO: Epoch: [159] [720/732] learning_rate: 0.082474 loss_vfl: 1.103857 loss_bbox: 0.565329 loss_dfl: 0.479837 loss: 2.146179 eta: 1 day, 7:42:38 batch_cost: 1.1857 data_cost: 0.0067 ips: 33.7362 images/s
[07/28 07:22:09] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 07:22:09] ppdet.engine INFO: Eval iter: 0
[07/28 07:22:31] ppdet.engine INFO: Eval iter: 100
[07/28 07:22:41] ppdet.engine INFO: Eval iter: 200
[07/28 07:22:52] ppdet.engine INFO: Eval iter: 300
[07/28 07:23:02] ppdet.engine INFO: Eval iter: 400
[07/28 07:23:12] ppdet.engine INFO: Eval iter: 500
[07/28 07:23:23] ppdet.engine INFO: Eval iter: 600
[07/28 07:23:39] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.65s)
creating index...
index created!
[07/28 07:23:40] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.76s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=102.11s).
Accumulating evaluation results...
DONE (t=19.54s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.268
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.399
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.284
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.099
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.284
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.409
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.260
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.424
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.453
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.190
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.504
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.679
[07/28 07:25:49] ppdet.engine INFO: Total sample number: 4952, averge FPS: 64.38702654601855
[07/28 07:25:49] ppdet.engine INFO: Best test bbox ap is 0.268.
[07/28 07:25:49] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 07:25:50] ppdet.engine INFO: Epoch: [160] [  0/732] learning_rate: 0.082457 loss_vfl: 1.130336 loss_bbox: 0.571261 loss_dfl: 0.481573 loss: 2.200042 eta: 1 day, 7:42:20 batch_cost: 0.7873 data_cost: 0.0046 ips: 50.8053 images/s
[07/28 07:26:15] ppdet.engine INFO: Epoch: [160] [ 20/732] learning_rate: 0.082429 loss_vfl: 1.102439 loss_bbox: 0.574522 loss_dfl: 0.474539 loss: 2.163999 eta: 1 day, 7:41:55 batch_cost: 0.9828 data_cost: 0.0030 ips: 40.6991 images/s
[07/28 07:26:41] ppdet.engine INFO: Epoch: [160] [ 40/732] learning_rate: 0.082401 loss_vfl: 1.106931 loss_bbox: 0.551760 loss_dfl: 0.467851 loss: 2.135033 eta: 1 day, 7:41:32 batch_cost: 1.0420 data_cost: 0.0019 ips: 38.3894 images/s
[07/28 07:27:08] ppdet.engine INFO: Epoch: [160] [ 60/732] learning_rate: 0.082372 loss_vfl: 1.066540 loss_bbox: 0.554023 loss_dfl: 0.476053 loss: 2.117797 eta: 1 day, 7:41:09 batch_cost: 1.0991 data_cost: 0.0086 ips: 36.3949 images/s
[07/28 07:27:32] ppdet.engine INFO: Epoch: [160] [ 80/732] learning_rate: 0.082344 loss_vfl: 1.095202 loss_bbox: 0.559834 loss_dfl: 0.471051 loss: 2.117111 eta: 1 day, 7:40:44 batch_cost: 0.9321 data_cost: 0.0107 ips: 42.9161 images/s
[07/28 07:28:01] ppdet.engine INFO: Epoch: [160] [100/732] learning_rate: 0.082316 loss_vfl: 1.121711 loss_bbox: 0.582941 loss_dfl: 0.491464 loss: 2.192432 eta: 1 day, 7:40:22 batch_cost: 1.1710 data_cost: 0.0043 ips: 34.1599 images/s
[07/28 07:28:26] ppdet.engine INFO: Epoch: [160] [120/732] learning_rate: 0.082287 loss_vfl: 1.126377 loss_bbox: 0.571883 loss_dfl: 0.479624 loss: 2.153713 eta: 1 day, 7:39:58 batch_cost: 0.9703 data_cost: 0.0083 ips: 41.2241 images/s
[07/28 07:28:53] ppdet.engine INFO: Epoch: [160] [140/732] learning_rate: 0.082259 loss_vfl: 1.076416 loss_bbox: 0.545478 loss_dfl: 0.464604 loss: 2.095980 eta: 1 day, 7:39:34 batch_cost: 1.0224 data_cost: 0.0083 ips: 39.1220 images/s
[07/28 07:29:18] ppdet.engine INFO: Epoch: [160] [160/732] learning_rate: 0.082231 loss_vfl: 1.051106 loss_bbox: 0.550976 loss_dfl: 0.452809 loss: 2.057308 eta: 1 day, 7:39:10 batch_cost: 1.0029 data_cost: 0.0093 ips: 39.8847 images/s
[07/28 07:29:45] ppdet.engine INFO: Epoch: [160] [180/732] learning_rate: 0.082202 loss_vfl: 1.127703 loss_bbox: 0.565177 loss_dfl: 0.481360 loss: 2.174765 eta: 1 day, 7:38:47 batch_cost: 1.0797 data_cost: 0.0036 ips: 37.0467 images/s
[07/28 07:30:10] ppdet.engine INFO: Epoch: [160] [200/732] learning_rate: 0.082174 loss_vfl: 1.065121 loss_bbox: 0.563271 loss_dfl: 0.460732 loss: 2.101135 eta: 1 day, 7:38:23 batch_cost: 1.0097 data_cost: 0.0079 ips: 39.6167 images/s
[07/28 07:30:37] ppdet.engine INFO: Epoch: [160] [220/732] learning_rate: 0.082146 loss_vfl: 1.080711 loss_bbox: 0.563062 loss_dfl: 0.477694 loss: 2.126637 eta: 1 day, 7:38:00 batch_cost: 1.0704 data_cost: 0.0088 ips: 37.3676 images/s
[07/28 07:31:04] ppdet.engine INFO: Epoch: [160] [240/732] learning_rate: 0.082118 loss_vfl: 1.092103 loss_bbox: 0.543277 loss_dfl: 0.455760 loss: 2.061923 eta: 1 day, 7:37:36 batch_cost: 1.0401 data_cost: 0.0095 ips: 38.4581 images/s
[07/28 07:31:30] ppdet.engine INFO: Epoch: [160] [260/732] learning_rate: 0.082089 loss_vfl: 1.040359 loss_bbox: 0.561220 loss_dfl: 0.460252 loss: 2.056394 eta: 1 day, 7:37:11 batch_cost: 0.9525 data_cost: 0.0117 ips: 41.9946 images/s
[07/28 07:31:56] ppdet.engine INFO: Epoch: [160] [280/732] learning_rate: 0.082061 loss_vfl: 1.110267 loss_bbox: 0.570420 loss_dfl: 0.461397 loss: 2.114924 eta: 1 day, 7:36:47 batch_cost: 1.0198 data_cost: 0.0120 ips: 39.2251 images/s
[07/28 07:32:22] ppdet.engine INFO: Epoch: [160] [300/732] learning_rate: 0.082033 loss_vfl: 1.091186 loss_bbox: 0.542403 loss_dfl: 0.464423 loss: 2.098206 eta: 1 day, 7:36:23 batch_cost: 1.0162 data_cost: 0.0055 ips: 39.3628 images/s
[07/28 07:32:48] ppdet.engine INFO: Epoch: [160] [320/732] learning_rate: 0.082005 loss_vfl: 1.073439 loss_bbox: 0.547249 loss_dfl: 0.457235 loss: 2.068090 eta: 1 day, 7:36:00 batch_cost: 1.0669 data_cost: 0.0089 ips: 37.4901 images/s
[07/28 07:33:14] ppdet.engine INFO: Epoch: [160] [340/732] learning_rate: 0.081976 loss_vfl: 1.065717 loss_bbox: 0.574645 loss_dfl: 0.462256 loss: 2.114332 eta: 1 day, 7:35:36 batch_cost: 0.9832 data_cost: 0.0067 ips: 40.6822 images/s
[07/28 07:33:40] ppdet.engine INFO: Epoch: [160] [360/732] learning_rate: 0.081948 loss_vfl: 1.101631 loss_bbox: 0.566187 loss_dfl: 0.471545 loss: 2.134438 eta: 1 day, 7:35:13 batch_cost: 1.1195 data_cost: 0.0037 ips: 35.7299 images/s
[07/28 07:34:08] ppdet.engine INFO: Epoch: [160] [380/732] learning_rate: 0.081920 loss_vfl: 1.047396 loss_bbox: 0.523004 loss_dfl: 0.446673 loss: 2.020395 eta: 1 day, 7:34:50 batch_cost: 1.0771 data_cost: 0.0032 ips: 37.1362 images/s
[07/28 07:34:31] ppdet.engine INFO: Epoch: [160] [400/732] learning_rate: 0.081891 loss_vfl: 1.109368 loss_bbox: 0.584871 loss_dfl: 0.476672 loss: 2.178241 eta: 1 day, 7:34:26 batch_cost: 0.9859 data_cost: 0.0073 ips: 40.5727 images/s
[07/28 07:34:59] ppdet.engine INFO: Epoch: [160] [420/732] learning_rate: 0.081863 loss_vfl: 1.059827 loss_bbox: 0.564433 loss_dfl: 0.471957 loss: 2.089267 eta: 1 day, 7:34:03 batch_cost: 1.0802 data_cost: 0.0052 ips: 37.0307 images/s
[07/28 07:35:25] ppdet.engine INFO: Epoch: [160] [440/732] learning_rate: 0.081835 loss_vfl: 1.096847 loss_bbox: 0.580062 loss_dfl: 0.481227 loss: 2.151900 eta: 1 day, 7:33:41 batch_cost: 1.1071 data_cost: 0.0093 ips: 36.1288 images/s
[07/28 07:35:51] ppdet.engine INFO: Epoch: [160] [460/732] learning_rate: 0.081807 loss_vfl: 1.088493 loss_bbox: 0.570950 loss_dfl: 0.475214 loss: 2.135084 eta: 1 day, 7:33:18 batch_cost: 1.1056 data_cost: 0.0081 ips: 36.1783 images/s
[07/28 07:36:16] ppdet.engine INFO: Epoch: [160] [480/732] learning_rate: 0.081778 loss_vfl: 1.078179 loss_bbox: 0.539703 loss_dfl: 0.455946 loss: 2.069613 eta: 1 day, 7:32:54 batch_cost: 0.9783 data_cost: 0.0047 ips: 40.8878 images/s
[07/28 07:36:42] ppdet.engine INFO: Epoch: [160] [500/732] learning_rate: 0.081750 loss_vfl: 1.099310 loss_bbox: 0.551399 loss_dfl: 0.468497 loss: 2.130663 eta: 1 day, 7:32:31 batch_cost: 1.0731 data_cost: 0.0049 ips: 37.2759 images/s
[07/28 07:37:09] ppdet.engine INFO: Epoch: [160] [520/732] learning_rate: 0.081722 loss_vfl: 1.111177 loss_bbox: 0.554273 loss_dfl: 0.471997 loss: 2.131154 eta: 1 day, 7:32:09 batch_cost: 1.1602 data_cost: 0.0080 ips: 34.4756 images/s
[07/28 07:37:34] ppdet.engine INFO: Epoch: [160] [540/732] learning_rate: 0.081694 loss_vfl: 1.075565 loss_bbox: 0.555106 loss_dfl: 0.469327 loss: 2.125542 eta: 1 day, 7:31:45 batch_cost: 1.0103 data_cost: 0.0122 ips: 39.5935 images/s
[07/28 07:37:59] ppdet.engine INFO: Epoch: [160] [560/732] learning_rate: 0.081666 loss_vfl: 1.156251 loss_bbox: 0.595043 loss_dfl: 0.494931 loss: 2.263717 eta: 1 day, 7:31:20 batch_cost: 0.9504 data_cost: 0.0056 ips: 42.0892 images/s
[07/28 07:38:26] ppdet.engine INFO: Epoch: [160] [580/732] learning_rate: 0.081637 loss_vfl: 1.111680 loss_bbox: 0.559239 loss_dfl: 0.469875 loss: 2.125958 eta: 1 day, 7:30:57 batch_cost: 1.0405 data_cost: 0.0064 ips: 38.4439 images/s
[07/28 07:38:52] ppdet.engine INFO: Epoch: [160] [600/732] learning_rate: 0.081609 loss_vfl: 1.081457 loss_bbox: 0.535838 loss_dfl: 0.462473 loss: 2.080922 eta: 1 day, 7:30:33 batch_cost: 1.0631 data_cost: 0.0249 ips: 37.6245 images/s
[07/28 07:39:18] ppdet.engine INFO: Epoch: [160] [620/732] learning_rate: 0.081581 loss_vfl: 1.133957 loss_bbox: 0.566194 loss_dfl: 0.471790 loss: 2.164902 eta: 1 day, 7:30:10 batch_cost: 1.0634 data_cost: 0.0083 ips: 37.6151 images/s
[07/28 07:39:44] ppdet.engine INFO: Epoch: [160] [640/732] learning_rate: 0.081553 loss_vfl: 1.065650 loss_bbox: 0.552553 loss_dfl: 0.466612 loss: 2.076951 eta: 1 day, 7:29:47 batch_cost: 1.0254 data_cost: 0.0067 ips: 39.0097 images/s
[07/28 07:40:10] ppdet.engine INFO: Epoch: [160] [660/732] learning_rate: 0.081524 loss_vfl: 1.116665 loss_bbox: 0.577556 loss_dfl: 0.479993 loss: 2.178886 eta: 1 day, 7:29:23 batch_cost: 1.0268 data_cost: 0.0088 ips: 38.9574 images/s
[07/28 07:40:37] ppdet.engine INFO: Epoch: [160] [680/732] learning_rate: 0.081496 loss_vfl: 1.120283 loss_bbox: 0.563105 loss_dfl: 0.476183 loss: 2.156057 eta: 1 day, 7:29:00 batch_cost: 1.0632 data_cost: 0.0090 ips: 37.6218 images/s
[07/28 07:41:03] ppdet.engine INFO: Epoch: [160] [700/732] learning_rate: 0.081468 loss_vfl: 1.103979 loss_bbox: 0.564833 loss_dfl: 0.477567 loss: 2.130136 eta: 1 day, 7:28:36 batch_cost: 1.0253 data_cost: 0.0072 ips: 39.0112 images/s
[07/28 07:41:28] ppdet.engine INFO: Epoch: [160] [720/732] learning_rate: 0.081440 loss_vfl: 1.057450 loss_bbox: 0.520344 loss_dfl: 0.444004 loss: 2.028804 eta: 1 day, 7:28:12 batch_cost: 1.0068 data_cost: 0.0137 ips: 39.7303 images/s
[07/28 07:41:48] ppdet.engine INFO: Epoch: [161] [  0/732] learning_rate: 0.081423 loss_vfl: 1.098173 loss_bbox: 0.543216 loss_dfl: 0.462491 loss: 2.105211 eta: 1 day, 7:28:02 batch_cost: 1.2920 data_cost: 0.4663 ips: 30.9602 images/s
[07/28 07:42:16] ppdet.engine INFO: Epoch: [161] [ 20/732] learning_rate: 0.081395 loss_vfl: 1.101720 loss_bbox: 0.552760 loss_dfl: 0.470193 loss: 2.105259 eta: 1 day, 7:27:41 batch_cost: 1.1364 data_cost: 0.0120 ips: 35.1981 images/s
[07/28 07:42:44] ppdet.engine INFO: Epoch: [161] [ 40/732] learning_rate: 0.081366 loss_vfl: 1.107138 loss_bbox: 0.554574 loss_dfl: 0.479039 loss: 2.170427 eta: 1 day, 7:27:21 batch_cost: 1.2487 data_cost: 0.0055 ips: 32.0330 images/s
[07/28 07:43:09] ppdet.engine INFO: Epoch: [161] [ 60/732] learning_rate: 0.081338 loss_vfl: 1.093680 loss_bbox: 0.555651 loss_dfl: 0.467798 loss: 2.120208 eta: 1 day, 7:26:56 batch_cost: 0.9948 data_cost: 0.0043 ips: 40.2085 images/s
[07/28 07:43:37] ppdet.engine INFO: Epoch: [161] [ 80/732] learning_rate: 0.081310 loss_vfl: 1.139469 loss_bbox: 0.580624 loss_dfl: 0.485871 loss: 2.202146 eta: 1 day, 7:26:35 batch_cost: 1.1437 data_cost: 0.0095 ips: 34.9734 images/s
[07/28 07:44:04] ppdet.engine INFO: Epoch: [161] [100/732] learning_rate: 0.081282 loss_vfl: 1.066462 loss_bbox: 0.527590 loss_dfl: 0.448916 loss: 2.051256 eta: 1 day, 7:26:13 batch_cost: 1.1469 data_cost: 0.0365 ips: 34.8775 images/s
[07/28 07:44:31] ppdet.engine INFO: Epoch: [161] [120/732] learning_rate: 0.081254 loss_vfl: 1.138558 loss_bbox: 0.576338 loss_dfl: 0.477511 loss: 2.158026 eta: 1 day, 7:25:51 batch_cost: 1.1524 data_cost: 0.0065 ips: 34.7089 images/s
[07/28 07:44:56] ppdet.engine INFO: Epoch: [161] [140/732] learning_rate: 0.081225 loss_vfl: 1.080345 loss_bbox: 0.556441 loss_dfl: 0.464615 loss: 2.096108 eta: 1 day, 7:25:28 batch_cost: 1.0558 data_cost: 0.0023 ips: 37.8845 images/s
[07/28 07:45:24] ppdet.engine INFO: Epoch: [161] [160/732] learning_rate: 0.081197 loss_vfl: 1.091911 loss_bbox: 0.567008 loss_dfl: 0.464870 loss: 2.113972 eta: 1 day, 7:25:07 batch_cost: 1.1744 data_cost: 0.0042 ips: 34.0593 images/s
[07/28 07:45:49] ppdet.engine INFO: Epoch: [161] [180/732] learning_rate: 0.081169 loss_vfl: 1.090044 loss_bbox: 0.561736 loss_dfl: 0.474251 loss: 2.136969 eta: 1 day, 7:24:43 batch_cost: 0.9948 data_cost: 0.0072 ips: 40.2090 images/s
[07/28 07:46:16] ppdet.engine INFO: Epoch: [161] [200/732] learning_rate: 0.081141 loss_vfl: 1.106709 loss_bbox: 0.570978 loss_dfl: 0.480090 loss: 2.155436 eta: 1 day, 7:24:20 batch_cost: 1.1172 data_cost: 0.0239 ips: 35.8037 images/s
[07/28 07:46:41] ppdet.engine INFO: Epoch: [161] [220/732] learning_rate: 0.081113 loss_vfl: 1.097477 loss_bbox: 0.563350 loss_dfl: 0.468978 loss: 2.146594 eta: 1 day, 7:23:56 batch_cost: 1.0225 data_cost: 0.0069 ips: 39.1205 images/s
[07/28 07:47:08] ppdet.engine INFO: Epoch: [161] [240/732] learning_rate: 0.081085 loss_vfl: 1.100841 loss_bbox: 0.582445 loss_dfl: 0.480452 loss: 2.165840 eta: 1 day, 7:23:35 batch_cost: 1.1306 data_cost: 0.0103 ips: 35.3808 images/s
[07/28 07:47:36] ppdet.engine INFO: Epoch: [161] [260/732] learning_rate: 0.081056 loss_vfl: 1.121110 loss_bbox: 0.566341 loss_dfl: 0.471203 loss: 2.139138 eta: 1 day, 7:23:13 batch_cost: 1.1569 data_cost: 0.0080 ips: 34.5757 images/s
[07/28 07:48:01] ppdet.engine INFO: Epoch: [161] [280/732] learning_rate: 0.081028 loss_vfl: 1.089618 loss_bbox: 0.569572 loss_dfl: 0.473772 loss: 2.111376 eta: 1 day, 7:22:50 batch_cost: 1.0827 data_cost: 0.0031 ips: 36.9451 images/s
[07/28 07:48:28] ppdet.engine INFO: Epoch: [161] [300/732] learning_rate: 0.081000 loss_vfl: 1.109644 loss_bbox: 0.569538 loss_dfl: 0.471839 loss: 2.141056 eta: 1 day, 7:22:28 batch_cost: 1.1087 data_cost: 0.0073 ips: 36.0772 images/s
[07/28 07:48:55] ppdet.engine INFO: Epoch: [161] [320/732] learning_rate: 0.080972 loss_vfl: 1.081783 loss_bbox: 0.555549 loss_dfl: 0.452938 loss: 2.086345 eta: 1 day, 7:22:06 batch_cost: 1.1168 data_cost: 0.0094 ips: 35.8165 images/s
[07/28 07:49:20] ppdet.engine INFO: Epoch: [161] [340/732] learning_rate: 0.080944 loss_vfl: 1.073346 loss_bbox: 0.537108 loss_dfl: 0.451549 loss: 2.060018 eta: 1 day, 7:21:42 batch_cost: 1.0202 data_cost: 0.0032 ips: 39.2083 images/s
[07/28 07:49:44] ppdet.engine INFO: Epoch: [161] [360/732] learning_rate: 0.080916 loss_vfl: 1.098230 loss_bbox: 0.566111 loss_dfl: 0.462251 loss: 2.128850 eta: 1 day, 7:21:18 batch_cost: 1.0372 data_cost: 0.0065 ips: 38.5656 images/s
[07/28 07:50:10] ppdet.engine INFO: Epoch: [161] [380/732] learning_rate: 0.080887 loss_vfl: 1.035123 loss_bbox: 0.545620 loss_dfl: 0.447650 loss: 2.019493 eta: 1 day, 7:20:56 batch_cost: 1.1193 data_cost: 0.0071 ips: 35.7351 images/s
[07/28 07:50:38] ppdet.engine INFO: Epoch: [161] [400/732] learning_rate: 0.080859 loss_vfl: 1.103012 loss_bbox: 0.574404 loss_dfl: 0.479270 loss: 2.142704 eta: 1 day, 7:20:34 batch_cost: 1.1343 data_cost: 0.0014 ips: 35.2627 images/s
[07/28 07:51:03] ppdet.engine INFO: Epoch: [161] [420/732] learning_rate: 0.080831 loss_vfl: 1.101494 loss_bbox: 0.549269 loss_dfl: 0.458387 loss: 2.103736 eta: 1 day, 7:20:10 batch_cost: 0.9910 data_cost: 0.0055 ips: 40.3627 images/s
[07/28 07:51:30] ppdet.engine INFO: Epoch: [161] [440/732] learning_rate: 0.080803 loss_vfl: 1.071835 loss_bbox: 0.569250 loss_dfl: 0.471535 loss: 2.093135 eta: 1 day, 7:19:46 batch_cost: 1.0459 data_cost: 0.0033 ips: 38.2455 images/s
[07/28 07:51:57] ppdet.engine INFO: Epoch: [161] [460/732] learning_rate: 0.080775 loss_vfl: 1.110029 loss_bbox: 0.572332 loss_dfl: 0.475884 loss: 2.180476 eta: 1 day, 7:19:25 batch_cost: 1.1709 data_cost: 0.0098 ips: 34.1603 images/s
[07/28 07:52:21] ppdet.engine INFO: Epoch: [161] [480/732] learning_rate: 0.080747 loss_vfl: 1.084989 loss_bbox: 0.591327 loss_dfl: 0.479585 loss: 2.150805 eta: 1 day, 7:19:00 batch_cost: 0.9454 data_cost: 0.0037 ips: 42.3117 images/s
[07/28 07:52:46] ppdet.engine INFO: Epoch: [161] [500/732] learning_rate: 0.080718 loss_vfl: 1.098821 loss_bbox: 0.557836 loss_dfl: 0.463639 loss: 2.124553 eta: 1 day, 7:18:35 batch_cost: 0.9738 data_cost: 0.0077 ips: 41.0749 images/s
[07/28 07:53:13] ppdet.engine INFO: Epoch: [161] [520/732] learning_rate: 0.080690 loss_vfl: 1.085353 loss_bbox: 0.566616 loss_dfl: 0.475633 loss: 2.127040 eta: 1 day, 7:18:14 batch_cost: 1.1612 data_cost: 0.0036 ips: 34.4465 images/s
[07/28 07:53:38] ppdet.engine INFO: Epoch: [161] [540/732] learning_rate: 0.080662 loss_vfl: 1.067960 loss_bbox: 0.545048 loss_dfl: 0.451422 loss: 2.031290 eta: 1 day, 7:17:50 batch_cost: 1.0231 data_cost: 0.0049 ips: 39.0953 images/s
[07/28 07:54:04] ppdet.engine INFO: Epoch: [161] [560/732] learning_rate: 0.080634 loss_vfl: 1.059273 loss_bbox: 0.545167 loss_dfl: 0.463591 loss: 2.079032 eta: 1 day, 7:17:27 batch_cost: 1.0665 data_cost: 0.0033 ips: 37.5066 images/s
[07/28 07:54:28] ppdet.engine INFO: Epoch: [161] [580/732] learning_rate: 0.080606 loss_vfl: 1.100070 loss_bbox: 0.562171 loss_dfl: 0.473859 loss: 2.138056 eta: 1 day, 7:17:03 batch_cost: 0.9897 data_cost: 0.0052 ips: 40.4164 images/s
[07/28 07:54:55] ppdet.engine INFO: Epoch: [161] [600/732] learning_rate: 0.080578 loss_vfl: 1.055297 loss_bbox: 0.536338 loss_dfl: 0.449337 loss: 2.035272 eta: 1 day, 7:16:41 batch_cost: 1.1413 data_cost: 0.0046 ips: 35.0480 images/s
[07/28 07:55:22] ppdet.engine INFO: Epoch: [161] [620/732] learning_rate: 0.080550 loss_vfl: 1.129871 loss_bbox: 0.554579 loss_dfl: 0.474610 loss: 2.182276 eta: 1 day, 7:16:19 batch_cost: 1.1485 data_cost: 0.0054 ips: 34.8276 images/s
[07/28 07:55:48] ppdet.engine INFO: Epoch: [161] [640/732] learning_rate: 0.080522 loss_vfl: 1.049614 loss_bbox: 0.545169 loss_dfl: 0.454704 loss: 2.053129 eta: 1 day, 7:15:57 batch_cost: 1.1066 data_cost: 0.0032 ips: 36.1483 images/s
[07/28 07:56:16] ppdet.engine INFO: Epoch: [161] [660/732] learning_rate: 0.080493 loss_vfl: 1.030802 loss_bbox: 0.531879 loss_dfl: 0.444916 loss: 2.011789 eta: 1 day, 7:15:34 batch_cost: 1.0955 data_cost: 0.0053 ips: 36.5118 images/s
[07/28 07:56:42] ppdet.engine INFO: Epoch: [161] [680/732] learning_rate: 0.080465 loss_vfl: 1.098259 loss_bbox: 0.556435 loss_dfl: 0.468215 loss: 2.131317 eta: 1 day, 7:15:11 batch_cost: 1.0382 data_cost: 0.0061 ips: 38.5271 images/s
[07/28 07:57:08] ppdet.engine INFO: Epoch: [161] [700/732] learning_rate: 0.080437 loss_vfl: 1.075743 loss_bbox: 0.533944 loss_dfl: 0.455933 loss: 2.094896 eta: 1 day, 7:14:48 batch_cost: 1.0799 data_cost: 0.0031 ips: 37.0416 images/s
[07/28 07:57:32] ppdet.engine INFO: Epoch: [161] [720/732] learning_rate: 0.080409 loss_vfl: 1.084216 loss_bbox: 0.535370 loss_dfl: 0.459180 loss: 2.107270 eta: 1 day, 7:14:23 batch_cost: 0.9683 data_cost: 0.0050 ips: 41.3096 images/s
[07/28 07:57:53] ppdet.engine INFO: Epoch: [162] [  0/732] learning_rate: 0.080392 loss_vfl: 1.088404 loss_bbox: 0.539176 loss_dfl: 0.454373 loss: 2.080689 eta: 1 day, 7:14:14 batch_cost: 1.3167 data_cost: 0.3846 ips: 30.3797 images/s
[07/28 07:58:21] ppdet.engine INFO: Epoch: [162] [ 20/732] learning_rate: 0.080364 loss_vfl: 1.120317 loss_bbox: 0.564607 loss_dfl: 0.483792 loss: 2.199435 eta: 1 day, 7:13:53 batch_cost: 1.1516 data_cost: 0.0037 ips: 34.7349 images/s
[07/28 07:58:47] ppdet.engine INFO: Epoch: [162] [ 40/732] learning_rate: 0.080336 loss_vfl: 1.048958 loss_bbox: 0.560175 loss_dfl: 0.467031 loss: 2.075499 eta: 1 day, 7:13:29 batch_cost: 1.0507 data_cost: 0.0056 ips: 38.0685 images/s
[07/28 07:59:12] ppdet.engine INFO: Epoch: [162] [ 60/732] learning_rate: 0.080308 loss_vfl: 1.047992 loss_bbox: 0.542780 loss_dfl: 0.448919 loss: 2.050100 eta: 1 day, 7:13:07 batch_cost: 1.1050 data_cost: 0.0076 ips: 36.1975 images/s
[07/28 07:59:38] ppdet.engine INFO: Epoch: [162] [ 80/732] learning_rate: 0.080280 loss_vfl: 1.105771 loss_bbox: 0.557602 loss_dfl: 0.464993 loss: 2.106691 eta: 1 day, 7:12:45 batch_cost: 1.1230 data_cost: 0.0051 ips: 35.6175 images/s
[07/28 08:00:07] ppdet.engine INFO: Epoch: [162] [100/732] learning_rate: 0.080252 loss_vfl: 1.112117 loss_bbox: 0.571018 loss_dfl: 0.461809 loss: 2.132401 eta: 1 day, 7:12:24 batch_cost: 1.2049 data_cost: 0.0034 ips: 33.1964 images/s
[07/28 08:00:34] ppdet.engine INFO: Epoch: [162] [120/732] learning_rate: 0.080224 loss_vfl: 1.050505 loss_bbox: 0.530848 loss_dfl: 0.446506 loss: 2.028289 eta: 1 day, 7:12:00 batch_cost: 1.0289 data_cost: 0.0044 ips: 38.8771 images/s
[07/28 08:01:01] ppdet.engine INFO: Epoch: [162] [140/732] learning_rate: 0.080196 loss_vfl: 1.051975 loss_bbox: 0.532540 loss_dfl: 0.450854 loss: 2.032457 eta: 1 day, 7:11:37 batch_cost: 1.0761 data_cost: 0.0054 ips: 37.1708 images/s
[07/28 08:01:28] ppdet.engine INFO: Epoch: [162] [160/732] learning_rate: 0.080167 loss_vfl: 1.110694 loss_bbox: 0.553695 loss_dfl: 0.470736 loss: 2.141950 eta: 1 day, 7:11:16 batch_cost: 1.1386 data_cost: 0.0381 ips: 35.1313 images/s
[07/28 08:01:54] ppdet.engine INFO: Epoch: [162] [180/732] learning_rate: 0.080139 loss_vfl: 1.121883 loss_bbox: 0.570299 loss_dfl: 0.477053 loss: 2.178010 eta: 1 day, 7:10:53 batch_cost: 1.1190 data_cost: 0.0258 ips: 35.7472 images/s
[07/28 08:02:21] ppdet.engine INFO: Epoch: [162] [200/732] learning_rate: 0.080111 loss_vfl: 1.053983 loss_bbox: 0.550081 loss_dfl: 0.445283 loss: 2.049207 eta: 1 day, 7:10:31 batch_cost: 1.0787 data_cost: 0.0052 ips: 37.0804 images/s
[07/28 08:02:46] ppdet.engine INFO: Epoch: [162] [220/732] learning_rate: 0.080083 loss_vfl: 1.111633 loss_bbox: 0.561894 loss_dfl: 0.469865 loss: 2.135366 eta: 1 day, 7:10:08 batch_cost: 1.1013 data_cost: 0.0048 ips: 36.3216 images/s
[07/28 08:03:14] ppdet.engine INFO: Epoch: [162] [240/732] learning_rate: 0.080055 loss_vfl: 1.079239 loss_bbox: 0.542903 loss_dfl: 0.459136 loss: 2.080295 eta: 1 day, 7:09:46 batch_cost: 1.1153 data_cost: 0.0099 ips: 35.8643 images/s
[07/28 08:03:39] ppdet.engine INFO: Epoch: [162] [260/732] learning_rate: 0.080027 loss_vfl: 1.082409 loss_bbox: 0.554291 loss_dfl: 0.471215 loss: 2.113743 eta: 1 day, 7:09:23 batch_cost: 1.0808 data_cost: 0.0011 ips: 37.0109 images/s
[07/28 08:04:08] ppdet.engine INFO: Epoch: [162] [280/732] learning_rate: 0.079999 loss_vfl: 1.093701 loss_bbox: 0.570522 loss_dfl: 0.474235 loss: 2.138505 eta: 1 day, 7:09:03 batch_cost: 1.2685 data_cost: 0.0049 ips: 31.5341 images/s
[07/28 08:04:33] ppdet.engine INFO: Epoch: [162] [300/732] learning_rate: 0.079971 loss_vfl: 1.049098 loss_bbox: 0.533450 loss_dfl: 0.452871 loss: 2.039697 eta: 1 day, 7:08:40 batch_cost: 1.0192 data_cost: 0.0041 ips: 39.2482 images/s
[07/28 08:05:00] ppdet.engine INFO: Epoch: [162] [320/732] learning_rate: 0.079943 loss_vfl: 1.095299 loss_bbox: 0.567393 loss_dfl: 0.483451 loss: 2.186995 eta: 1 day, 7:08:18 batch_cost: 1.1832 data_cost: 0.0088 ips: 33.8064 images/s
[07/28 08:05:26] ppdet.engine INFO: Epoch: [162] [340/732] learning_rate: 0.079915 loss_vfl: 1.080621 loss_bbox: 0.548825 loss_dfl: 0.459971 loss: 2.087865 eta: 1 day, 7:07:55 batch_cost: 1.0582 data_cost: 0.0082 ips: 37.8006 images/s
[07/28 08:05:55] ppdet.engine INFO: Epoch: [162] [360/732] learning_rate: 0.079887 loss_vfl: 1.072159 loss_bbox: 0.552015 loss_dfl: 0.462750 loss: 2.051531 eta: 1 day, 7:07:34 batch_cost: 1.1829 data_cost: 0.0030 ips: 33.8158 images/s
[07/28 08:06:20] ppdet.engine INFO: Epoch: [162] [380/732] learning_rate: 0.079859 loss_vfl: 1.107515 loss_bbox: 0.550709 loss_dfl: 0.473680 loss: 2.139302 eta: 1 day, 7:07:10 batch_cost: 0.9851 data_cost: 0.0097 ips: 40.6062 images/s
[07/28 08:06:48] ppdet.engine INFO: Epoch: [162] [400/732] learning_rate: 0.079831 loss_vfl: 1.139178 loss_bbox: 0.566855 loss_dfl: 0.482203 loss: 2.187241 eta: 1 day, 7:06:48 batch_cost: 1.1165 data_cost: 0.0094 ips: 35.8259 images/s
[07/28 08:07:15] ppdet.engine INFO: Epoch: [162] [420/732] learning_rate: 0.079803 loss_vfl: 1.088636 loss_bbox: 0.551068 loss_dfl: 0.459822 loss: 2.095471 eta: 1 day, 7:06:24 batch_cost: 1.0672 data_cost: 0.0040 ips: 37.4815 images/s
[07/28 08:07:43] ppdet.engine INFO: Epoch: [162] [440/732] learning_rate: 0.079775 loss_vfl: 1.088329 loss_bbox: 0.553244 loss_dfl: 0.466712 loss: 2.110758 eta: 1 day, 7:06:02 batch_cost: 1.0797 data_cost: 0.0050 ips: 37.0467 images/s
[07/28 08:08:09] ppdet.engine INFO: Epoch: [162] [460/732] learning_rate: 0.079746 loss_vfl: 1.113582 loss_bbox: 0.572690 loss_dfl: 0.486161 loss: 2.175064 eta: 1 day, 7:05:39 batch_cost: 1.0770 data_cost: 0.0046 ips: 37.1390 images/s
[07/28 08:08:35] ppdet.engine INFO: Epoch: [162] [480/732] learning_rate: 0.079718 loss_vfl: 1.099365 loss_bbox: 0.557581 loss_dfl: 0.462618 loss: 2.141544 eta: 1 day, 7:05:16 batch_cost: 1.0635 data_cost: 0.0055 ips: 37.6103 images/s
[07/28 08:09:01] ppdet.engine INFO: Epoch: [162] [500/732] learning_rate: 0.079690 loss_vfl: 1.134892 loss_bbox: 0.549859 loss_dfl: 0.475347 loss: 2.145026 eta: 1 day, 7:04:53 batch_cost: 1.0723 data_cost: 0.0072 ips: 37.3035 images/s
[07/28 08:09:27] ppdet.engine INFO: Epoch: [162] [520/732] learning_rate: 0.079662 loss_vfl: 1.126340 loss_bbox: 0.580583 loss_dfl: 0.483102 loss: 2.182955 eta: 1 day, 7:04:29 batch_cost: 1.0348 data_cost: 0.0076 ips: 38.6538 images/s
[07/28 08:09:52] ppdet.engine INFO: Epoch: [162] [540/732] learning_rate: 0.079634 loss_vfl: 1.055177 loss_bbox: 0.546971 loss_dfl: 0.461811 loss: 2.081866 eta: 1 day, 7:04:05 batch_cost: 0.9878 data_cost: 0.0114 ips: 40.4924 images/s
[07/28 08:10:18] ppdet.engine INFO: Epoch: [162] [560/732] learning_rate: 0.079606 loss_vfl: 1.093085 loss_bbox: 0.554685 loss_dfl: 0.463918 loss: 2.120707 eta: 1 day, 7:03:41 batch_cost: 1.0369 data_cost: 0.0151 ips: 38.5753 images/s
[07/28 08:10:44] ppdet.engine INFO: Epoch: [162] [580/732] learning_rate: 0.079578 loss_vfl: 1.115857 loss_bbox: 0.558199 loss_dfl: 0.466573 loss: 2.122949 eta: 1 day, 7:03:17 batch_cost: 1.0069 data_cost: 0.0049 ips: 39.7254 images/s
[07/28 08:11:10] ppdet.engine INFO: Epoch: [162] [600/732] learning_rate: 0.079550 loss_vfl: 1.068845 loss_bbox: 0.546964 loss_dfl: 0.453832 loss: 2.094512 eta: 1 day, 7:02:54 batch_cost: 1.0307 data_cost: 0.0093 ips: 38.8074 images/s
[07/28 08:11:35] ppdet.engine INFO: Epoch: [162] [620/732] learning_rate: 0.079522 loss_vfl: 1.105327 loss_bbox: 0.571781 loss_dfl: 0.480624 loss: 2.157427 eta: 1 day, 7:02:29 batch_cost: 1.0001 data_cost: 0.0054 ips: 39.9946 images/s
[07/28 08:12:00] ppdet.engine INFO: Epoch: [162] [640/732] learning_rate: 0.079494 loss_vfl: 1.134816 loss_bbox: 0.582771 loss_dfl: 0.483203 loss: 2.215256 eta: 1 day, 7:02:04 batch_cost: 0.9576 data_cost: 0.0049 ips: 41.7721 images/s
[07/28 08:12:27] ppdet.engine INFO: Epoch: [162] [660/732] learning_rate: 0.079466 loss_vfl: 1.058396 loss_bbox: 0.550968 loss_dfl: 0.461808 loss: 2.062121 eta: 1 day, 7:01:40 batch_cost: 0.9992 data_cost: 0.0052 ips: 40.0319 images/s
[07/28 08:12:53] ppdet.engine INFO: Epoch: [162] [680/732] learning_rate: 0.079438 loss_vfl: 1.098848 loss_bbox: 0.567809 loss_dfl: 0.473682 loss: 2.126606 eta: 1 day, 7:01:18 batch_cost: 1.0824 data_cost: 0.0024 ips: 36.9536 images/s
[07/28 08:13:18] ppdet.engine INFO: Epoch: [162] [700/732] learning_rate: 0.079410 loss_vfl: 1.098876 loss_bbox: 0.554514 loss_dfl: 0.467707 loss: 2.143279 eta: 1 day, 7:00:55 batch_cost: 1.0790 data_cost: 0.0047 ips: 37.0701 images/s
[07/28 08:13:44] ppdet.engine INFO: Epoch: [162] [720/732] learning_rate: 0.079382 loss_vfl: 1.102421 loss_bbox: 0.565788 loss_dfl: 0.471717 loss: 2.160673 eta: 1 day, 7:00:30 batch_cost: 0.9690 data_cost: 0.0023 ips: 41.2787 images/s
[07/28 08:14:02] ppdet.engine INFO: Epoch: [163] [  0/732] learning_rate: 0.079365 loss_vfl: 1.140832 loss_bbox: 0.582332 loss_dfl: 0.492818 loss: 2.216021 eta: 1 day, 7:00:18 batch_cost: 1.1513 data_cost: 0.4293 ips: 34.7422 images/s
[07/28 08:14:32] ppdet.engine INFO: Epoch: [163] [ 20/732] learning_rate: 0.079337 loss_vfl: 1.081266 loss_bbox: 0.538007 loss_dfl: 0.451076 loss: 2.065253 eta: 1 day, 6:59:58 batch_cost: 1.2398 data_cost: 0.0613 ips: 32.2630 images/s
[07/28 08:15:00] ppdet.engine INFO: Epoch: [163] [ 40/732] learning_rate: 0.079309 loss_vfl: 1.126459 loss_bbox: 0.570718 loss_dfl: 0.476964 loss: 2.156099 eta: 1 day, 6:59:37 batch_cost: 1.1588 data_cost: 0.0028 ips: 34.5178 images/s
[07/28 08:15:29] ppdet.engine INFO: Epoch: [163] [ 60/732] learning_rate: 0.079281 loss_vfl: 1.128686 loss_bbox: 0.581601 loss_dfl: 0.485172 loss: 2.196433 eta: 1 day, 6:59:17 batch_cost: 1.2583 data_cost: 0.0056 ips: 31.7898 images/s
[07/28 08:15:55] ppdet.engine INFO: Epoch: [163] [ 80/732] learning_rate: 0.079253 loss_vfl: 1.086891 loss_bbox: 0.552362 loss_dfl: 0.463602 loss: 2.105802 eta: 1 day, 6:58:54 batch_cost: 1.0832 data_cost: 0.0034 ips: 36.9278 images/s
[07/28 08:16:21] ppdet.engine INFO: Epoch: [163] [100/732] learning_rate: 0.079225 loss_vfl: 1.089032 loss_bbox: 0.561863 loss_dfl: 0.463341 loss: 2.130822 eta: 1 day, 6:58:31 batch_cost: 1.0364 data_cost: 0.0025 ips: 38.5955 images/s
[07/28 08:16:49] ppdet.engine INFO: Epoch: [163] [120/732] learning_rate: 0.079197 loss_vfl: 1.105041 loss_bbox: 0.548823 loss_dfl: 0.465875 loss: 2.125417 eta: 1 day, 6:58:11 batch_cost: 1.2507 data_cost: 0.0059 ips: 31.9831 images/s
[07/28 08:17:15] ppdet.engine INFO: Epoch: [163] [140/732] learning_rate: 0.079169 loss_vfl: 1.071325 loss_bbox: 0.528327 loss_dfl: 0.450823 loss: 2.036391 eta: 1 day, 6:57:48 batch_cost: 1.0999 data_cost: 0.0023 ips: 36.3660 images/s
[07/28 08:17:41] ppdet.engine INFO: Epoch: [163] [160/732] learning_rate: 0.079141 loss_vfl: 1.063410 loss_bbox: 0.548499 loss_dfl: 0.450895 loss: 2.037164 eta: 1 day, 6:57:25 batch_cost: 1.0699 data_cost: 0.0081 ips: 37.3877 images/s
[07/28 08:18:07] ppdet.engine INFO: Epoch: [163] [180/732] learning_rate: 0.079113 loss_vfl: 1.099799 loss_bbox: 0.574624 loss_dfl: 0.474279 loss: 2.156740 eta: 1 day, 6:57:00 batch_cost: 0.9589 data_cost: 0.0066 ips: 41.7125 images/s
[07/28 08:18:32] ppdet.engine INFO: Epoch: [163] [200/732] learning_rate: 0.079086 loss_vfl: 1.155725 loss_bbox: 0.592612 loss_dfl: 0.486309 loss: 2.230481 eta: 1 day, 6:56:37 batch_cost: 1.0284 data_cost: 0.0037 ips: 38.8942 images/s
[07/28 08:18:59] ppdet.engine INFO: Epoch: [163] [220/732] learning_rate: 0.079058 loss_vfl: 1.113943 loss_bbox: 0.575782 loss_dfl: 0.484647 loss: 2.201100 eta: 1 day, 6:56:15 batch_cost: 1.1153 data_cost: 0.0052 ips: 35.8651 images/s
[07/28 08:19:25] ppdet.engine INFO: Epoch: [163] [240/732] learning_rate: 0.079030 loss_vfl: 1.120719 loss_bbox: 0.569167 loss_dfl: 0.475653 loss: 2.174548 eta: 1 day, 6:55:52 batch_cost: 1.0728 data_cost: 0.0116 ips: 37.2840 images/s
[07/28 08:19:50] ppdet.engine INFO: Epoch: [163] [260/732] learning_rate: 0.079002 loss_vfl: 1.095227 loss_bbox: 0.549870 loss_dfl: 0.470393 loss: 2.111643 eta: 1 day, 6:55:30 batch_cost: 1.1391 data_cost: 0.0055 ips: 35.1141 images/s
[07/28 08:20:19] ppdet.engine INFO: Epoch: [163] [280/732] learning_rate: 0.078974 loss_vfl: 1.054776 loss_bbox: 0.559319 loss_dfl: 0.463775 loss: 2.092392 eta: 1 day, 6:55:09 batch_cost: 1.2052 data_cost: 0.0072 ips: 33.1891 images/s
[07/28 08:20:44] ppdet.engine INFO: Epoch: [163] [300/732] learning_rate: 0.078946 loss_vfl: 1.095356 loss_bbox: 0.550865 loss_dfl: 0.459801 loss: 2.089530 eta: 1 day, 6:54:46 batch_cost: 1.0436 data_cost: 0.0064 ips: 38.3283 images/s
[07/28 08:21:11] ppdet.engine INFO: Epoch: [163] [320/732] learning_rate: 0.078918 loss_vfl: 1.117854 loss_bbox: 0.568318 loss_dfl: 0.471333 loss: 2.156494 eta: 1 day, 6:54:24 batch_cost: 1.1237 data_cost: 0.0045 ips: 35.5968 images/s
[07/28 08:21:38] ppdet.engine INFO: Epoch: [163] [340/732] learning_rate: 0.078890 loss_vfl: 1.124413 loss_bbox: 0.558814 loss_dfl: 0.470330 loss: 2.164681 eta: 1 day, 6:54:01 batch_cost: 1.1260 data_cost: 0.0085 ips: 35.5248 images/s
[07/28 08:22:03] ppdet.engine INFO: Epoch: [163] [360/732] learning_rate: 0.078862 loss_vfl: 1.127812 loss_bbox: 0.571313 loss_dfl: 0.477072 loss: 2.176809 eta: 1 day, 6:53:38 batch_cost: 1.0488 data_cost: 0.0104 ips: 38.1404 images/s
[07/28 08:22:29] ppdet.engine INFO: Epoch: [163] [380/732] learning_rate: 0.078834 loss_vfl: 1.096557 loss_bbox: 0.547445 loss_dfl: 0.459805 loss: 2.101847 eta: 1 day, 6:53:16 batch_cost: 1.0984 data_cost: 0.0054 ips: 36.4154 images/s
[07/28 08:22:55] ppdet.engine INFO: Epoch: [163] [400/732] learning_rate: 0.078806 loss_vfl: 1.090790 loss_bbox: 0.563516 loss_dfl: 0.463158 loss: 2.123496 eta: 1 day, 6:52:53 batch_cost: 1.1057 data_cost: 0.0055 ips: 36.1753 images/s
[07/28 08:23:22] ppdet.engine INFO: Epoch: [163] [420/732] learning_rate: 0.078778 loss_vfl: 1.109860 loss_bbox: 0.567100 loss_dfl: 0.478762 loss: 2.160183 eta: 1 day, 6:52:31 batch_cost: 1.0971 data_cost: 0.0109 ips: 36.4584 images/s
[07/28 08:23:50] ppdet.engine INFO: Epoch: [163] [440/732] learning_rate: 0.078750 loss_vfl: 1.117532 loss_bbox: 0.554372 loss_dfl: 0.462573 loss: 2.154965 eta: 1 day, 6:52:09 batch_cost: 1.1275 data_cost: 0.0054 ips: 35.4773 images/s
[07/28 08:24:16] ppdet.engine INFO: Epoch: [163] [460/732] learning_rate: 0.078722 loss_vfl: 1.118189 loss_bbox: 0.582128 loss_dfl: 0.483071 loss: 2.179399 eta: 1 day, 6:51:47 batch_cost: 1.1330 data_cost: 0.0097 ips: 35.3044 images/s
[07/28 08:24:42] ppdet.engine INFO: Epoch: [163] [480/732] learning_rate: 0.078694 loss_vfl: 1.073180 loss_bbox: 0.553394 loss_dfl: 0.457358 loss: 2.064769 eta: 1 day, 6:51:23 batch_cost: 1.0465 data_cost: 0.0092 ips: 38.2211 images/s
[07/28 08:25:10] ppdet.engine INFO: Epoch: [163] [500/732] learning_rate: 0.078666 loss_vfl: 1.076099 loss_bbox: 0.559650 loss_dfl: 0.467361 loss: 2.109085 eta: 1 day, 6:51:02 batch_cost: 1.1680 data_cost: 0.0055 ips: 34.2465 images/s
[07/28 08:25:35] ppdet.engine INFO: Epoch: [163] [520/732] learning_rate: 0.078638 loss_vfl: 1.090693 loss_bbox: 0.565967 loss_dfl: 0.473534 loss: 2.139580 eta: 1 day, 6:50:38 batch_cost: 1.0006 data_cost: 0.0097 ips: 39.9747 images/s
[07/28 08:26:00] ppdet.engine INFO: Epoch: [163] [540/732] learning_rate: 0.078610 loss_vfl: 1.074149 loss_bbox: 0.540915 loss_dfl: 0.449529 loss: 2.079773 eta: 1 day, 6:50:14 batch_cost: 1.0027 data_cost: 0.0063 ips: 39.8913 images/s
[07/28 08:26:27] ppdet.engine INFO: Epoch: [163] [560/732] learning_rate: 0.078582 loss_vfl: 1.091255 loss_bbox: 0.560544 loss_dfl: 0.471547 loss: 2.121911 eta: 1 day, 6:49:52 batch_cost: 1.1551 data_cost: 0.0143 ips: 34.6282 images/s
[07/28 08:26:52] ppdet.engine INFO: Epoch: [163] [580/732] learning_rate: 0.078555 loss_vfl: 1.089607 loss_bbox: 0.547585 loss_dfl: 0.462381 loss: 2.098637 eta: 1 day, 6:49:28 batch_cost: 0.9693 data_cost: 0.0101 ips: 41.2650 images/s
[07/28 08:27:20] ppdet.engine INFO: Epoch: [163] [600/732] learning_rate: 0.078527 loss_vfl: 1.092168 loss_bbox: 0.561771 loss_dfl: 0.470039 loss: 2.088907 eta: 1 day, 6:49:06 batch_cost: 1.1788 data_cost: 0.0046 ips: 33.9332 images/s
[07/28 08:27:45] ppdet.engine INFO: Epoch: [163] [620/732] learning_rate: 0.078499 loss_vfl: 1.127763 loss_bbox: 0.584016 loss_dfl: 0.483655 loss: 2.185595 eta: 1 day, 6:48:43 batch_cost: 1.0100 data_cost: 0.0065 ips: 39.6046 images/s
[07/28 08:28:14] ppdet.engine INFO: Epoch: [163] [640/732] learning_rate: 0.078471 loss_vfl: 1.091246 loss_bbox: 0.548112 loss_dfl: 0.464787 loss: 2.099443 eta: 1 day, 6:48:22 batch_cost: 1.2092 data_cost: 0.0092 ips: 33.0790 images/s
[07/28 08:28:38] ppdet.engine INFO: Epoch: [163] [660/732] learning_rate: 0.078443 loss_vfl: 1.044095 loss_bbox: 0.542538 loss_dfl: 0.450477 loss: 2.033885 eta: 1 day, 6:47:57 batch_cost: 0.9416 data_cost: 0.0052 ips: 42.4824 images/s
[07/28 08:29:05] ppdet.engine INFO: Epoch: [163] [680/732] learning_rate: 0.078415 loss_vfl: 1.154547 loss_bbox: 0.597161 loss_dfl: 0.494884 loss: 2.232995 eta: 1 day, 6:47:33 batch_cost: 1.0248 data_cost: 0.0067 ips: 39.0312 images/s
[07/28 08:29:30] ppdet.engine INFO: Epoch: [163] [700/732] learning_rate: 0.078387 loss_vfl: 1.081821 loss_bbox: 0.547874 loss_dfl: 0.461442 loss: 2.101712 eta: 1 day, 6:47:09 batch_cost: 1.0087 data_cost: 0.0046 ips: 39.6542 images/s
[07/28 08:29:57] ppdet.engine INFO: Epoch: [163] [720/732] learning_rate: 0.078359 loss_vfl: 1.079089 loss_bbox: 0.539277 loss_dfl: 0.456236 loss: 2.083449 eta: 1 day, 6:46:47 batch_cost: 1.1125 data_cost: 0.0059 ips: 35.9562 images/s
[07/28 08:30:21] ppdet.engine INFO: Epoch: [164] [  0/732] learning_rate: 0.078342 loss_vfl: 1.097759 loss_bbox: 0.547614 loss_dfl: 0.458583 loss: 2.103370 eta: 1 day, 6:46:40 batch_cost: 1.5147 data_cost: 0.5859 ips: 26.4086 images/s
[07/28 08:30:49] ppdet.engine INFO: Epoch: [164] [ 20/732] learning_rate: 0.078315 loss_vfl: 1.098891 loss_bbox: 0.554022 loss_dfl: 0.465523 loss: 2.117409 eta: 1 day, 6:46:19 batch_cost: 1.1951 data_cost: 0.0031 ips: 33.4687 images/s
[07/28 08:31:17] ppdet.engine INFO: Epoch: [164] [ 40/732] learning_rate: 0.078287 loss_vfl: 1.055856 loss_bbox: 0.552171 loss_dfl: 0.461721 loss: 2.080431 eta: 1 day, 6:45:58 batch_cost: 1.1979 data_cost: 0.0071 ips: 33.3908 images/s
[07/28 08:31:42] ppdet.engine INFO: Epoch: [164] [ 60/732] learning_rate: 0.078259 loss_vfl: 1.106099 loss_bbox: 0.555899 loss_dfl: 0.469474 loss: 2.123699 eta: 1 day, 6:45:34 batch_cost: 1.0456 data_cost: 0.0041 ips: 38.2572 images/s
[07/28 08:32:08] ppdet.engine INFO: Epoch: [164] [ 80/732] learning_rate: 0.078231 loss_vfl: 1.101388 loss_bbox: 0.577879 loss_dfl: 0.475173 loss: 2.157376 eta: 1 day, 6:45:10 batch_cost: 0.9914 data_cost: 0.0008 ips: 40.3476 images/s
[07/28 08:32:36] ppdet.engine INFO: Epoch: [164] [100/732] learning_rate: 0.078203 loss_vfl: 1.092940 loss_bbox: 0.562358 loss_dfl: 0.468605 loss: 2.133806 eta: 1 day, 6:44:50 batch_cost: 1.2265 data_cost: 0.0102 ips: 32.6133 images/s
[07/28 08:33:04] ppdet.engine INFO: Epoch: [164] [120/732] learning_rate: 0.078175 loss_vfl: 1.124518 loss_bbox: 0.581628 loss_dfl: 0.478253 loss: 2.191440 eta: 1 day, 6:44:29 batch_cost: 1.1918 data_cost: 0.0021 ips: 33.5621 images/s
[07/28 08:33:31] ppdet.engine INFO: Epoch: [164] [140/732] learning_rate: 0.078147 loss_vfl: 1.101613 loss_bbox: 0.563815 loss_dfl: 0.481329 loss: 2.140385 eta: 1 day, 6:44:06 batch_cost: 1.0870 data_cost: 0.0091 ips: 36.7998 images/s
[07/28 08:33:59] ppdet.engine INFO: Epoch: [164] [160/732] learning_rate: 0.078119 loss_vfl: 1.104146 loss_bbox: 0.549140 loss_dfl: 0.454671 loss: 2.089761 eta: 1 day, 6:43:45 batch_cost: 1.1637 data_cost: 0.0071 ips: 34.3729 images/s
[07/28 08:34:25] ppdet.engine INFO: Epoch: [164] [180/732] learning_rate: 0.078092 loss_vfl: 1.085554 loss_bbox: 0.568167 loss_dfl: 0.475363 loss: 2.121550 eta: 1 day, 6:43:22 batch_cost: 1.0773 data_cost: 0.0011 ips: 37.1304 images/s
[07/28 08:34:52] ppdet.engine INFO: Epoch: [164] [200/732] learning_rate: 0.078064 loss_vfl: 1.101879 loss_bbox: 0.565725 loss_dfl: 0.466785 loss: 2.131169 eta: 1 day, 6:43:00 batch_cost: 1.1629 data_cost: 0.0043 ips: 34.3981 images/s
[07/28 08:35:18] ppdet.engine INFO: Epoch: [164] [220/732] learning_rate: 0.078036 loss_vfl: 1.109937 loss_bbox: 0.557108 loss_dfl: 0.464076 loss: 2.122541 eta: 1 day, 6:42:38 batch_cost: 1.0823 data_cost: 0.0123 ips: 36.9597 images/s
[07/28 08:35:45] ppdet.engine INFO: Epoch: [164] [240/732] learning_rate: 0.078008 loss_vfl: 1.037741 loss_bbox: 0.531963 loss_dfl: 0.443290 loss: 2.015355 eta: 1 day, 6:42:15 batch_cost: 1.0858 data_cost: 0.0177 ips: 36.8399 images/s
[07/28 08:36:12] ppdet.engine INFO: Epoch: [164] [260/732] learning_rate: 0.077980 loss_vfl: 1.148749 loss_bbox: 0.585061 loss_dfl: 0.484556 loss: 2.226093 eta: 1 day, 6:41:52 batch_cost: 1.0698 data_cost: 0.0056 ips: 37.3898 images/s
[07/28 08:36:38] ppdet.engine INFO: Epoch: [164] [280/732] learning_rate: 0.077952 loss_vfl: 1.079792 loss_bbox: 0.556457 loss_dfl: 0.463308 loss: 2.097864 eta: 1 day, 6:41:29 batch_cost: 1.0468 data_cost: 0.0116 ips: 38.2108 images/s
[07/28 08:37:05] ppdet.engine INFO: Epoch: [164] [300/732] learning_rate: 0.077924 loss_vfl: 1.087583 loss_bbox: 0.558902 loss_dfl: 0.465149 loss: 2.112454 eta: 1 day, 6:41:06 batch_cost: 1.0875 data_cost: 0.0041 ips: 36.7801 images/s
[07/28 08:37:30] ppdet.engine INFO: Epoch: [164] [320/732] learning_rate: 0.077897 loss_vfl: 1.085047 loss_bbox: 0.555862 loss_dfl: 0.476917 loss: 2.154428 eta: 1 day, 6:40:43 batch_cost: 1.0853 data_cost: 0.0078 ips: 36.8561 images/s
[07/28 08:37:56] ppdet.engine INFO: Epoch: [164] [340/732] learning_rate: 0.077869 loss_vfl: 1.101409 loss_bbox: 0.537827 loss_dfl: 0.453120 loss: 2.094633 eta: 1 day, 6:40:20 batch_cost: 1.0417 data_cost: 0.0030 ips: 38.3976 images/s
[07/28 08:38:22] ppdet.engine INFO: Epoch: [164] [360/732] learning_rate: 0.077841 loss_vfl: 1.127320 loss_bbox: 0.601038 loss_dfl: 0.494201 loss: 2.223325 eta: 1 day, 6:39:58 batch_cost: 1.1654 data_cost: 0.0091 ips: 34.3228 images/s
[07/28 08:38:50] ppdet.engine INFO: Epoch: [164] [380/732] learning_rate: 0.077813 loss_vfl: 1.112889 loss_bbox: 0.579747 loss_dfl: 0.481131 loss: 2.187920 eta: 1 day, 6:39:35 batch_cost: 1.0287 data_cost: 0.0125 ips: 38.8854 images/s
[07/28 08:39:16] ppdet.engine INFO: Epoch: [164] [400/732] learning_rate: 0.077785 loss_vfl: 1.116327 loss_bbox: 0.550680 loss_dfl: 0.475706 loss: 2.147006 eta: 1 day, 6:39:12 batch_cost: 1.0891 data_cost: 0.0227 ips: 36.7278 images/s
[07/28 08:39:42] ppdet.engine INFO: Epoch: [164] [420/732] learning_rate: 0.077757 loss_vfl: 1.116069 loss_bbox: 0.586883 loss_dfl: 0.483177 loss: 2.201487 eta: 1 day, 6:38:48 batch_cost: 0.9925 data_cost: 0.0092 ips: 40.3028 images/s
[07/28 08:40:09] ppdet.engine INFO: Epoch: [164] [440/732] learning_rate: 0.077730 loss_vfl: 1.108461 loss_bbox: 0.543054 loss_dfl: 0.468301 loss: 2.095336 eta: 1 day, 6:38:25 batch_cost: 1.0465 data_cost: 0.0049 ips: 38.2241 images/s
[07/28 08:40:34] ppdet.engine INFO: Epoch: [164] [460/732] learning_rate: 0.077702 loss_vfl: 1.090522 loss_bbox: 0.576087 loss_dfl: 0.471952 loss: 2.146202 eta: 1 day, 6:38:00 batch_cost: 0.9816 data_cost: 0.0081 ips: 40.7481 images/s
[07/28 08:41:03] ppdet.engine INFO: Epoch: [164] [480/732] learning_rate: 0.077674 loss_vfl: 1.090320 loss_bbox: 0.546334 loss_dfl: 0.461683 loss: 2.100529 eta: 1 day, 6:37:38 batch_cost: 1.1428 data_cost: 0.0261 ips: 35.0021 images/s
[07/28 08:41:28] ppdet.engine INFO: Epoch: [164] [500/732] learning_rate: 0.077646 loss_vfl: 1.102035 loss_bbox: 0.559292 loss_dfl: 0.483082 loss: 2.155667 eta: 1 day, 6:37:14 batch_cost: 0.9960 data_cost: 0.0063 ips: 40.1624 images/s
[07/28 08:41:56] ppdet.engine INFO: Epoch: [164] [520/732] learning_rate: 0.077618 loss_vfl: 1.109663 loss_bbox: 0.568079 loss_dfl: 0.475439 loss: 2.128178 eta: 1 day, 6:36:53 batch_cost: 1.1493 data_cost: 0.0080 ips: 34.8026 images/s
[07/28 08:42:21] ppdet.engine INFO: Epoch: [164] [540/732] learning_rate: 0.077590 loss_vfl: 1.131436 loss_bbox: 0.593250 loss_dfl: 0.481659 loss: 2.209669 eta: 1 day, 6:36:29 batch_cost: 1.0185 data_cost: 0.0062 ips: 39.2724 images/s
[07/28 08:42:47] ppdet.engine INFO: Epoch: [164] [560/732] learning_rate: 0.077563 loss_vfl: 1.102833 loss_bbox: 0.546675 loss_dfl: 0.479191 loss: 2.130280 eta: 1 day, 6:36:06 batch_cost: 1.1078 data_cost: 0.0061 ips: 36.1071 images/s
[07/28 08:43:12] ppdet.engine INFO: Epoch: [164] [580/732] learning_rate: 0.077535 loss_vfl: 1.078372 loss_bbox: 0.550102 loss_dfl: 0.460986 loss: 2.087635 eta: 1 day, 6:35:42 batch_cost: 0.9943 data_cost: 0.0070 ips: 40.2289 images/s
[07/28 08:43:39] ppdet.engine INFO: Epoch: [164] [600/732] learning_rate: 0.077507 loss_vfl: 1.123242 loss_bbox: 0.573789 loss_dfl: 0.483392 loss: 2.178376 eta: 1 day, 6:35:20 batch_cost: 1.1217 data_cost: 0.1451 ips: 35.6601 images/s
[07/28 08:44:06] ppdet.engine INFO: Epoch: [164] [620/732] learning_rate: 0.077479 loss_vfl: 1.136050 loss_bbox: 0.579173 loss_dfl: 0.485980 loss: 2.177513 eta: 1 day, 6:34:57 batch_cost: 1.0826 data_cost: 0.0051 ips: 36.9471 images/s
[07/28 08:44:32] ppdet.engine INFO: Epoch: [164] [640/732] learning_rate: 0.077451 loss_vfl: 1.126674 loss_bbox: 0.582470 loss_dfl: 0.489208 loss: 2.180859 eta: 1 day, 6:34:34 batch_cost: 1.0605 data_cost: 0.0101 ips: 37.7179 images/s
[07/28 08:44:59] ppdet.engine INFO: Epoch: [164] [660/732] learning_rate: 0.077424 loss_vfl: 1.079658 loss_bbox: 0.566131 loss_dfl: 0.459059 loss: 2.086370 eta: 1 day, 6:34:11 batch_cost: 1.0448 data_cost: 0.0070 ips: 38.2849 images/s
[07/28 08:45:25] ppdet.engine INFO: Epoch: [164] [680/732] learning_rate: 0.077396 loss_vfl: 1.147364 loss_bbox: 0.586160 loss_dfl: 0.484217 loss: 2.223342 eta: 1 day, 6:33:48 batch_cost: 1.0727 data_cost: 0.0022 ips: 37.2896 images/s
[07/28 08:45:53] ppdet.engine INFO: Epoch: [164] [700/732] learning_rate: 0.077368 loss_vfl: 1.127964 loss_bbox: 0.575533 loss_dfl: 0.486843 loss: 2.186298 eta: 1 day, 6:33:25 batch_cost: 1.0727 data_cost: 0.0077 ips: 37.2888 images/s
[07/28 08:46:20] ppdet.engine INFO: Epoch: [164] [720/732] learning_rate: 0.077340 loss_vfl: 1.060409 loss_bbox: 0.541694 loss_dfl: 0.444915 loss: 2.010588 eta: 1 day, 6:33:03 batch_cost: 1.1085 data_cost: 0.0064 ips: 36.0855 images/s
[07/28 08:46:42] ppdet.engine INFO: Epoch: [165] [  0/732] learning_rate: 0.077324 loss_vfl: 1.055478 loss_bbox: 0.524171 loss_dfl: 0.449333 loss: 2.011923 eta: 1 day, 6:32:54 batch_cost: 1.4457 data_cost: 0.4267 ips: 27.6674 images/s
[07/28 08:47:11] ppdet.engine INFO: Epoch: [165] [ 20/732] learning_rate: 0.077296 loss_vfl: 1.105464 loss_bbox: 0.582675 loss_dfl: 0.481892 loss: 2.170169 eta: 1 day, 6:32:33 batch_cost: 1.2038 data_cost: 0.0064 ips: 33.2283 images/s
[07/28 08:47:38] ppdet.engine INFO: Epoch: [165] [ 40/732] learning_rate: 0.077268 loss_vfl: 1.118687 loss_bbox: 0.558949 loss_dfl: 0.479339 loss: 2.161938 eta: 1 day, 6:32:11 batch_cost: 1.1409 data_cost: 0.0050 ips: 35.0586 images/s
[07/28 08:48:03] ppdet.engine INFO: Epoch: [165] [ 60/732] learning_rate: 0.077240 loss_vfl: 1.095160 loss_bbox: 0.572295 loss_dfl: 0.475644 loss: 2.153096 eta: 1 day, 6:31:46 batch_cost: 0.9464 data_cost: 0.0102 ips: 42.2658 images/s
[07/28 08:48:31] ppdet.engine INFO: Epoch: [165] [ 80/732] learning_rate: 0.077213 loss_vfl: 1.105964 loss_bbox: 0.566745 loss_dfl: 0.481152 loss: 2.162211 eta: 1 day, 6:31:25 batch_cost: 1.1774 data_cost: 0.0099 ips: 33.9742 images/s
[07/28 08:48:58] ppdet.engine INFO: Epoch: [165] [100/732] learning_rate: 0.077185 loss_vfl: 1.086909 loss_bbox: 0.576575 loss_dfl: 0.469826 loss: 2.126940 eta: 1 day, 6:31:04 batch_cost: 1.1745 data_cost: 0.0069 ips: 34.0559 images/s
[07/28 08:49:23] ppdet.engine INFO: Epoch: [165] [120/732] learning_rate: 0.077157 loss_vfl: 1.064696 loss_bbox: 0.555640 loss_dfl: 0.467207 loss: 2.105213 eta: 1 day, 6:30:40 batch_cost: 1.0331 data_cost: 0.0061 ips: 38.7183 images/s
[07/28 08:49:50] ppdet.engine INFO: Epoch: [165] [140/732] learning_rate: 0.077129 loss_vfl: 1.106467 loss_bbox: 0.566755 loss_dfl: 0.478647 loss: 2.163483 eta: 1 day, 6:30:17 batch_cost: 1.0465 data_cost: 0.0095 ips: 38.2215 images/s
[07/28 08:50:16] ppdet.engine INFO: Epoch: [165] [160/732] learning_rate: 0.077102 loss_vfl: 1.098564 loss_bbox: 0.561611 loss_dfl: 0.469883 loss: 2.119241 eta: 1 day, 6:29:55 batch_cost: 1.1507 data_cost: 0.0073 ips: 34.7617 images/s
[07/28 08:50:42] ppdet.engine INFO: Epoch: [165] [180/732] learning_rate: 0.077074 loss_vfl: 1.094137 loss_bbox: 0.559169 loss_dfl: 0.481173 loss: 2.177005 eta: 1 day, 6:29:32 batch_cost: 1.0761 data_cost: 0.0025 ips: 37.1701 images/s
[07/28 08:51:08] ppdet.engine INFO: Epoch: [165] [200/732] learning_rate: 0.077046 loss_vfl: 1.115208 loss_bbox: 0.559653 loss_dfl: 0.473933 loss: 2.152656 eta: 1 day, 6:29:09 batch_cost: 1.0679 data_cost: 0.0077 ips: 37.4551 images/s
[07/28 08:51:34] ppdet.engine INFO: Epoch: [165] [220/732] learning_rate: 0.077018 loss_vfl: 1.109089 loss_bbox: 0.534337 loss_dfl: 0.462621 loss: 2.117091 eta: 1 day, 6:28:46 batch_cost: 1.0214 data_cost: 0.0075 ips: 39.1621 images/s
[07/28 08:52:01] ppdet.engine INFO: Epoch: [165] [240/732] learning_rate: 0.076991 loss_vfl: 1.099694 loss_bbox: 0.558177 loss_dfl: 0.473211 loss: 2.134331 eta: 1 day, 6:28:22 batch_cost: 1.0662 data_cost: 0.0082 ips: 37.5169 images/s
[07/28 08:52:27] ppdet.engine INFO: Epoch: [165] [260/732] learning_rate: 0.076963 loss_vfl: 1.087484 loss_bbox: 0.549723 loss_dfl: 0.468139 loss: 2.089833 eta: 1 day, 6:27:59 batch_cost: 1.0490 data_cost: 0.0077 ips: 38.1305 images/s
[07/28 08:52:52] ppdet.engine INFO: Epoch: [165] [280/732] learning_rate: 0.076935 loss_vfl: 1.080543 loss_bbox: 0.556150 loss_dfl: 0.468719 loss: 2.103653 eta: 1 day, 6:27:35 batch_cost: 1.0058 data_cost: 0.0115 ips: 39.7691 images/s
[07/28 08:53:20] ppdet.engine INFO: Epoch: [165] [300/732] learning_rate: 0.076907 loss_vfl: 1.129509 loss_bbox: 0.580703 loss_dfl: 0.481923 loss: 2.197659 eta: 1 day, 6:27:13 batch_cost: 1.1053 data_cost: 0.0080 ips: 36.1902 images/s
[07/28 08:53:45] ppdet.engine INFO: Epoch: [165] [320/732] learning_rate: 0.076880 loss_vfl: 1.094702 loss_bbox: 0.566045 loss_dfl: 0.471272 loss: 2.122892 eta: 1 day, 6:26:50 batch_cost: 1.0942 data_cost: 0.0086 ips: 36.5560 images/s
[07/28 08:54:12] ppdet.engine INFO: Epoch: [165] [340/732] learning_rate: 0.076852 loss_vfl: 1.085157 loss_bbox: 0.554092 loss_dfl: 0.463917 loss: 2.092081 eta: 1 day, 6:26:29 batch_cost: 1.1602 data_cost: 0.0075 ips: 34.4773 images/s
[07/28 08:54:38] ppdet.engine INFO: Epoch: [165] [360/732] learning_rate: 0.076824 loss_vfl: 1.106747 loss_bbox: 0.574623 loss_dfl: 0.489181 loss: 2.177781 eta: 1 day, 6:26:05 batch_cost: 1.0496 data_cost: 0.0113 ips: 38.1090 images/s
[07/28 08:55:02] ppdet.engine INFO: Epoch: [165] [380/732] learning_rate: 0.076796 loss_vfl: 1.112495 loss_bbox: 0.541531 loss_dfl: 0.463653 loss: 2.102971 eta: 1 day, 6:25:41 batch_cost: 0.9998 data_cost: 0.0131 ips: 40.0069 images/s
[07/28 08:55:28] ppdet.engine INFO: Epoch: [165] [400/732] learning_rate: 0.076769 loss_vfl: 1.041061 loss_bbox: 0.543428 loss_dfl: 0.461922 loss: 2.034937 eta: 1 day, 6:25:18 batch_cost: 1.0658 data_cost: 0.0062 ips: 37.5312 images/s
[07/28 08:55:55] ppdet.engine INFO: Epoch: [165] [420/732] learning_rate: 0.076741 loss_vfl: 1.099126 loss_bbox: 0.552644 loss_dfl: 0.464267 loss: 2.111798 eta: 1 day, 6:24:55 batch_cost: 1.0585 data_cost: 0.0105 ips: 37.7904 images/s
[07/28 08:56:22] ppdet.engine INFO: Epoch: [165] [440/732] learning_rate: 0.076713 loss_vfl: 1.057604 loss_bbox: 0.547462 loss_dfl: 0.464712 loss: 2.073601 eta: 1 day, 6:24:33 batch_cost: 1.1123 data_cost: 0.0054 ips: 35.9611 images/s
[07/28 08:56:48] ppdet.engine INFO: Epoch: [165] [460/732] learning_rate: 0.076686 loss_vfl: 1.108237 loss_bbox: 0.558489 loss_dfl: 0.474144 loss: 2.119843 eta: 1 day, 6:24:11 batch_cost: 1.1020 data_cost: 0.0120 ips: 36.2965 images/s
[07/28 08:57:15] ppdet.engine INFO: Epoch: [165] [480/732] learning_rate: 0.076658 loss_vfl: 1.059666 loss_bbox: 0.554532 loss_dfl: 0.458170 loss: 2.064325 eta: 1 day, 6:23:49 batch_cost: 1.1665 data_cost: 0.0068 ips: 34.2904 images/s
[07/28 08:57:41] ppdet.engine INFO: Epoch: [165] [500/732] learning_rate: 0.076630 loss_vfl: 1.098335 loss_bbox: 0.544379 loss_dfl: 0.462680 loss: 2.086271 eta: 1 day, 6:23:26 batch_cost: 1.0821 data_cost: 0.0047 ips: 36.9654 images/s
[07/28 08:58:06] ppdet.engine INFO: Epoch: [165] [520/732] learning_rate: 0.076602 loss_vfl: 1.095810 loss_bbox: 0.551236 loss_dfl: 0.459561 loss: 2.103771 eta: 1 day, 6:23:03 batch_cost: 1.0570 data_cost: 0.0035 ips: 37.8412 images/s
[07/28 08:58:35] ppdet.engine INFO: Epoch: [165] [540/732] learning_rate: 0.076575 loss_vfl: 1.059954 loss_bbox: 0.540208 loss_dfl: 0.452133 loss: 2.032523 eta: 1 day, 6:22:42 batch_cost: 1.1693 data_cost: 0.0076 ips: 34.2078 images/s
[07/28 08:59:00] ppdet.engine INFO: Epoch: [165] [560/732] learning_rate: 0.076547 loss_vfl: 1.116895 loss_bbox: 0.567020 loss_dfl: 0.468111 loss: 2.112318 eta: 1 day, 6:22:18 batch_cost: 0.9940 data_cost: 0.0093 ips: 40.2396 images/s
[07/28 08:59:26] ppdet.engine INFO: Epoch: [165] [580/732] learning_rate: 0.076519 loss_vfl: 1.049010 loss_bbox: 0.547382 loss_dfl: 0.460352 loss: 2.060123 eta: 1 day, 6:21:55 batch_cost: 1.0550 data_cost: 0.0217 ips: 37.9136 images/s
[07/28 08:59:52] ppdet.engine INFO: Epoch: [165] [600/732] learning_rate: 0.076492 loss_vfl: 1.075490 loss_bbox: 0.570699 loss_dfl: 0.476955 loss: 2.127309 eta: 1 day, 6:21:32 batch_cost: 1.0713 data_cost: 0.0085 ips: 37.3382 images/s
[07/28 09:00:20] ppdet.engine INFO: Epoch: [165] [620/732] learning_rate: 0.076464 loss_vfl: 1.101825 loss_bbox: 0.537587 loss_dfl: 0.468797 loss: 2.108868 eta: 1 day, 6:21:10 batch_cost: 1.1630 data_cost: 0.0064 ips: 34.3934 images/s
[07/28 09:00:48] ppdet.engine INFO: Epoch: [165] [640/732] learning_rate: 0.076436 loss_vfl: 1.138248 loss_bbox: 0.580371 loss_dfl: 0.491755 loss: 2.186115 eta: 1 day, 6:20:50 batch_cost: 1.2657 data_cost: 0.0058 ips: 31.6029 images/s
[07/28 09:01:13] ppdet.engine INFO: Epoch: [165] [660/732] learning_rate: 0.076409 loss_vfl: 1.099018 loss_bbox: 0.568772 loss_dfl: 0.481144 loss: 2.147854 eta: 1 day, 6:20:27 batch_cost: 1.0405 data_cost: 0.0100 ips: 38.4417 images/s
[07/28 09:01:40] ppdet.engine INFO: Epoch: [165] [680/732] learning_rate: 0.076381 loss_vfl: 1.089186 loss_bbox: 0.546802 loss_dfl: 0.468990 loss: 2.101592 eta: 1 day, 6:20:06 batch_cost: 1.2027 data_cost: 0.0061 ips: 33.2580 images/s
[07/28 09:02:07] ppdet.engine INFO: Epoch: [165] [700/732] learning_rate: 0.076353 loss_vfl: 1.107531 loss_bbox: 0.563508 loss_dfl: 0.477630 loss: 2.156114 eta: 1 day, 6:19:44 batch_cost: 1.1416 data_cost: 0.0056 ips: 35.0395 images/s
[07/28 09:02:33] ppdet.engine INFO: Epoch: [165] [720/732] learning_rate: 0.076326 loss_vfl: 1.102470 loss_bbox: 0.571911 loss_dfl: 0.480542 loss: 2.136149 eta: 1 day, 6:19:21 batch_cost: 1.0370 data_cost: 0.0087 ips: 38.5718 images/s
[07/28 09:02:55] ppdet.engine INFO: Epoch: [166] [  0/732] learning_rate: 0.076309 loss_vfl: 1.063930 loss_bbox: 0.545149 loss_dfl: 0.448949 loss: 2.051921 eta: 1 day, 6:19:13 batch_cost: 1.4158 data_cost: 0.3461 ips: 28.2529 images/s
[07/28 09:03:23] ppdet.engine INFO: Epoch: [166] [ 20/732] learning_rate: 0.076281 loss_vfl: 1.074821 loss_bbox: 0.550683 loss_dfl: 0.461283 loss: 2.096906 eta: 1 day, 6:18:50 batch_cost: 1.0818 data_cost: 0.0044 ips: 36.9761 images/s
[07/28 09:03:50] ppdet.engine INFO: Epoch: [166] [ 40/732] learning_rate: 0.076254 loss_vfl: 1.048479 loss_bbox: 0.555000 loss_dfl: 0.449082 loss: 2.055390 eta: 1 day, 6:18:27 batch_cost: 1.0967 data_cost: 0.0025 ips: 36.4734 images/s
[07/28 09:04:16] ppdet.engine INFO: Epoch: [166] [ 60/732] learning_rate: 0.076226 loss_vfl: 1.073732 loss_bbox: 0.541634 loss_dfl: 0.445994 loss: 2.040927 eta: 1 day, 6:18:04 batch_cost: 1.0536 data_cost: 0.0032 ips: 37.9662 images/s
[07/28 09:04:42] ppdet.engine INFO: Epoch: [166] [ 80/732] learning_rate: 0.076198 loss_vfl: 1.096862 loss_bbox: 0.558733 loss_dfl: 0.476220 loss: 2.136127 eta: 1 day, 6:17:41 batch_cost: 1.0851 data_cost: 0.0060 ips: 36.8643 images/s
[07/28 09:05:09] ppdet.engine INFO: Epoch: [166] [100/732] learning_rate: 0.076171 loss_vfl: 1.106317 loss_bbox: 0.565698 loss_dfl: 0.472808 loss: 2.164228 eta: 1 day, 6:17:18 batch_cost: 1.0542 data_cost: 0.0043 ips: 37.9426 images/s
[07/28 09:05:34] ppdet.engine INFO: Epoch: [166] [120/732] learning_rate: 0.076143 loss_vfl: 1.091772 loss_bbox: 0.558371 loss_dfl: 0.469981 loss: 2.100769 eta: 1 day, 6:16:54 batch_cost: 0.9691 data_cost: 0.0068 ips: 41.2757 images/s
[07/28 09:06:00] ppdet.engine INFO: Epoch: [166] [140/732] learning_rate: 0.076115 loss_vfl: 1.100466 loss_bbox: 0.562839 loss_dfl: 0.466688 loss: 2.122597 eta: 1 day, 6:16:31 batch_cost: 1.0801 data_cost: 0.0043 ips: 37.0326 images/s
[07/28 09:06:29] ppdet.engine INFO: Epoch: [166] [160/732] learning_rate: 0.076088 loss_vfl: 1.093230 loss_bbox: 0.562760 loss_dfl: 0.475369 loss: 2.131350 eta: 1 day, 6:16:11 batch_cost: 1.2594 data_cost: 0.0058 ips: 31.7604 images/s
[07/28 09:06:57] ppdet.engine INFO: Epoch: [166] [180/732] learning_rate: 0.076060 loss_vfl: 1.064397 loss_bbox: 0.522288 loss_dfl: 0.445935 loss: 2.040834 eta: 1 day, 6:15:49 batch_cost: 1.1361 data_cost: 0.0120 ips: 35.2095 images/s
[07/28 09:07:23] ppdet.engine INFO: Epoch: [166] [200/732] learning_rate: 0.076033 loss_vfl: 1.098289 loss_bbox: 0.567656 loss_dfl: 0.484989 loss: 2.148192 eta: 1 day, 6:15:26 batch_cost: 1.0564 data_cost: 0.0113 ips: 37.8649 images/s
[07/28 09:07:50] ppdet.engine INFO: Epoch: [166] [220/732] learning_rate: 0.076005 loss_vfl: 1.077224 loss_bbox: 0.562901 loss_dfl: 0.468996 loss: 2.129013 eta: 1 day, 6:15:02 batch_cost: 1.0360 data_cost: 0.0051 ips: 38.6084 images/s
[07/28 09:08:18] ppdet.engine INFO: Epoch: [166] [240/732] learning_rate: 0.075977 loss_vfl: 1.095082 loss_bbox: 0.567604 loss_dfl: 0.470834 loss: 2.132643 eta: 1 day, 6:14:40 batch_cost: 1.1178 data_cost: 0.0059 ips: 35.7853 images/s
[07/28 09:08:43] ppdet.engine INFO: Epoch: [166] [260/732] learning_rate: 0.075950 loss_vfl: 1.073416 loss_bbox: 0.572375 loss_dfl: 0.473242 loss: 2.115479 eta: 1 day, 6:14:17 batch_cost: 1.0294 data_cost: 0.0097 ips: 38.8581 images/s
[07/28 09:09:12] ppdet.engine INFO: Epoch: [166] [280/732] learning_rate: 0.075922 loss_vfl: 1.086802 loss_bbox: 0.558991 loss_dfl: 0.462933 loss: 2.117896 eta: 1 day, 6:13:57 batch_cost: 1.2545 data_cost: 0.0041 ips: 31.8847 images/s
[07/28 09:09:38] ppdet.engine INFO: Epoch: [166] [300/732] learning_rate: 0.075894 loss_vfl: 1.079988 loss_bbox: 0.533843 loss_dfl: 0.457859 loss: 2.083640 eta: 1 day, 6:13:35 batch_cost: 1.1481 data_cost: 0.0040 ips: 34.8390 images/s
[07/28 09:10:02] ppdet.engine INFO: Epoch: [166] [320/732] learning_rate: 0.075867 loss_vfl: 1.070456 loss_bbox: 0.558380 loss_dfl: 0.458364 loss: 2.110713 eta: 1 day, 6:13:10 batch_cost: 0.9619 data_cost: 0.0046 ips: 41.5861 images/s
[07/28 09:10:29] ppdet.engine INFO: Epoch: [166] [340/732] learning_rate: 0.075839 loss_vfl: 1.057572 loss_bbox: 0.561768 loss_dfl: 0.467811 loss: 2.082451 eta: 1 day, 6:12:49 batch_cost: 1.1858 data_cost: 0.0179 ips: 33.7331 images/s
[07/28 09:10:55] ppdet.engine INFO: Epoch: [166] [360/732] learning_rate: 0.075812 loss_vfl: 1.131286 loss_bbox: 0.572528 loss_dfl: 0.491090 loss: 2.207331 eta: 1 day, 6:12:27 batch_cost: 1.0937 data_cost: 0.0036 ips: 36.5715 images/s
[07/28 09:11:20] ppdet.engine INFO: Epoch: [166] [380/732] learning_rate: 0.075784 loss_vfl: 1.079652 loss_bbox: 0.561355 loss_dfl: 0.468089 loss: 2.126651 eta: 1 day, 6:12:03 batch_cost: 1.0130 data_cost: 0.0046 ips: 39.4863 images/s
[07/28 09:11:47] ppdet.engine INFO: Epoch: [166] [400/732] learning_rate: 0.075756 loss_vfl: 1.062089 loss_bbox: 0.558368 loss_dfl: 0.448630 loss: 2.060040 eta: 1 day, 6:11:40 batch_cost: 1.0850 data_cost: 0.0122 ips: 36.8663 images/s
[07/28 09:12:15] ppdet.engine INFO: Epoch: [166] [420/732] learning_rate: 0.075729 loss_vfl: 1.113914 loss_bbox: 0.573745 loss_dfl: 0.473821 loss: 2.140502 eta: 1 day, 6:11:18 batch_cost: 1.1271 data_cost: 0.0084 ips: 35.4892 images/s
[07/28 09:12:42] ppdet.engine INFO: Epoch: [166] [440/732] learning_rate: 0.075701 loss_vfl: 1.094932 loss_bbox: 0.561733 loss_dfl: 0.465088 loss: 2.108375 eta: 1 day, 6:10:56 batch_cost: 1.1322 data_cost: 0.0052 ips: 35.3282 images/s
[07/28 09:13:09] ppdet.engine INFO: Epoch: [166] [460/732] learning_rate: 0.075674 loss_vfl: 1.140535 loss_bbox: 0.577511 loss_dfl: 0.483875 loss: 2.208278 eta: 1 day, 6:10:34 batch_cost: 1.1407 data_cost: 0.0048 ips: 35.0659 images/s
[07/28 09:13:35] ppdet.engine INFO: Epoch: [166] [480/732] learning_rate: 0.075646 loss_vfl: 1.076016 loss_bbox: 0.542111 loss_dfl: 0.471865 loss: 2.113324 eta: 1 day, 6:10:12 batch_cost: 1.1168 data_cost: 0.0047 ips: 35.8179 images/s
[07/28 09:14:01] ppdet.engine INFO: Epoch: [166] [500/732] learning_rate: 0.075619 loss_vfl: 1.091691 loss_bbox: 0.555211 loss_dfl: 0.467711 loss: 2.123731 eta: 1 day, 6:09:50 batch_cost: 1.1137 data_cost: 0.0029 ips: 35.9170 images/s
[07/28 09:14:28] ppdet.engine INFO: Epoch: [166] [520/732] learning_rate: 0.075591 loss_vfl: 1.152547 loss_bbox: 0.596093 loss_dfl: 0.500887 loss: 2.244744 eta: 1 day, 6:09:28 batch_cost: 1.1507 data_cost: 0.0052 ips: 34.7603 images/s
[07/28 09:14:55] ppdet.engine INFO: Epoch: [166] [540/732] learning_rate: 0.075563 loss_vfl: 1.085801 loss_bbox: 0.541234 loss_dfl: 0.463599 loss: 2.097866 eta: 1 day, 6:09:06 batch_cost: 1.1351 data_cost: 0.0056 ips: 35.2382 images/s
[07/28 09:15:21] ppdet.engine INFO: Epoch: [166] [560/732] learning_rate: 0.075536 loss_vfl: 1.054137 loss_bbox: 0.545516 loss_dfl: 0.453503 loss: 2.075834 eta: 1 day, 6:08:45 batch_cost: 1.1704 data_cost: 0.0033 ips: 34.1749 images/s
[07/28 09:15:48] ppdet.engine INFO: Epoch: [166] [580/732] learning_rate: 0.075508 loss_vfl: 1.086469 loss_bbox: 0.568886 loss_dfl: 0.472571 loss: 2.142701 eta: 1 day, 6:08:22 batch_cost: 1.0965 data_cost: 0.0065 ips: 36.4808 images/s
[07/28 09:16:14] ppdet.engine INFO: Epoch: [166] [600/732] learning_rate: 0.075481 loss_vfl: 1.071673 loss_bbox: 0.541825 loss_dfl: 0.450862 loss: 2.059512 eta: 1 day, 6:07:59 batch_cost: 1.0672 data_cost: 0.0084 ips: 37.4823 images/s
[07/28 09:16:41] ppdet.engine INFO: Epoch: [166] [620/732] learning_rate: 0.075453 loss_vfl: 1.054295 loss_bbox: 0.560961 loss_dfl: 0.462680 loss: 2.071414 eta: 1 day, 6:07:37 batch_cost: 1.1074 data_cost: 0.0095 ips: 36.1209 images/s
[07/28 09:17:08] ppdet.engine INFO: Epoch: [166] [640/732] learning_rate: 0.075426 loss_vfl: 1.066830 loss_bbox: 0.530615 loss_dfl: 0.447677 loss: 2.045122 eta: 1 day, 6:07:16 batch_cost: 1.1701 data_cost: 0.0092 ips: 34.1843 images/s
[07/28 09:17:34] ppdet.engine INFO: Epoch: [166] [660/732] learning_rate: 0.075398 loss_vfl: 1.075632 loss_bbox: 0.548486 loss_dfl: 0.464908 loss: 2.101105 eta: 1 day, 6:06:54 batch_cost: 1.1628 data_cost: 0.0067 ips: 34.3992 images/s
[07/28 09:17:59] ppdet.engine INFO: Epoch: [166] [680/732] learning_rate: 0.075370 loss_vfl: 1.083766 loss_bbox: 0.558069 loss_dfl: 0.464720 loss: 2.122949 eta: 1 day, 6:06:30 batch_cost: 1.0024 data_cost: 0.0161 ips: 39.9054 images/s
[07/28 09:18:25] ppdet.engine INFO: Epoch: [166] [700/732] learning_rate: 0.075343 loss_vfl: 1.088620 loss_bbox: 0.550777 loss_dfl: 0.464436 loss: 2.091027 eta: 1 day, 6:06:07 batch_cost: 1.0556 data_cost: 0.0042 ips: 37.8914 images/s
[07/28 09:18:53] ppdet.engine INFO: Epoch: [166] [720/732] learning_rate: 0.075315 loss_vfl: 1.119801 loss_bbox: 0.598810 loss_dfl: 0.497142 loss: 2.229400 eta: 1 day, 6:05:46 batch_cost: 1.1941 data_cost: 0.0400 ips: 33.4979 images/s
[07/28 09:19:14] ppdet.engine INFO: Epoch: [167] [  0/732] learning_rate: 0.075299 loss_vfl: 1.071133 loss_bbox: 0.553559 loss_dfl: 0.467559 loss: 2.107142 eta: 1 day, 6:05:37 batch_cost: 1.3782 data_cost: 0.4138 ips: 29.0224 images/s
[07/28 09:19:44] ppdet.engine INFO: Epoch: [167] [ 20/732] learning_rate: 0.075271 loss_vfl: 1.058450 loss_bbox: 0.540301 loss_dfl: 0.450770 loss: 2.028584 eta: 1 day, 6:05:16 batch_cost: 1.2045 data_cost: 0.0072 ips: 33.2085 images/s
[07/28 09:20:09] ppdet.engine INFO: Epoch: [167] [ 40/732] learning_rate: 0.075244 loss_vfl: 1.121736 loss_bbox: 0.564264 loss_dfl: 0.468462 loss: 2.142452 eta: 1 day, 6:04:53 batch_cost: 1.0991 data_cost: 0.0097 ips: 36.3935 images/s
[07/28 09:20:37] ppdet.engine INFO: Epoch: [167] [ 60/732] learning_rate: 0.075216 loss_vfl: 1.147495 loss_bbox: 0.574777 loss_dfl: 0.485848 loss: 2.208554 eta: 1 day, 6:04:31 batch_cost: 1.0997 data_cost: 0.0065 ips: 36.3751 images/s
[07/28 09:21:03] ppdet.engine INFO: Epoch: [167] [ 80/732] learning_rate: 0.075189 loss_vfl: 1.085915 loss_bbox: 0.565582 loss_dfl: 0.475101 loss: 2.141433 eta: 1 day, 6:04:08 batch_cost: 1.0926 data_cost: 0.0060 ips: 36.6083 images/s
[07/28 09:21:30] ppdet.engine INFO: Epoch: [167] [100/732] learning_rate: 0.075161 loss_vfl: 1.105432 loss_bbox: 0.560853 loss_dfl: 0.468287 loss: 2.161733 eta: 1 day, 6:03:46 batch_cost: 1.0927 data_cost: 0.0037 ips: 36.6060 images/s
[07/28 09:21:58] ppdet.engine INFO: Epoch: [167] [120/732] learning_rate: 0.075134 loss_vfl: 1.090328 loss_bbox: 0.549863 loss_dfl: 0.464882 loss: 2.081511 eta: 1 day, 6:03:24 batch_cost: 1.1385 data_cost: 0.0069 ips: 35.1324 images/s
[07/28 09:22:23] ppdet.engine INFO: Epoch: [167] [140/732] learning_rate: 0.075106 loss_vfl: 1.060026 loss_bbox: 0.536842 loss_dfl: 0.458027 loss: 2.054895 eta: 1 day, 6:03:01 batch_cost: 1.0572 data_cost: 0.0048 ips: 37.8353 images/s
[07/28 09:22:50] ppdet.engine INFO: Epoch: [167] [160/732] learning_rate: 0.075079 loss_vfl: 1.086841 loss_bbox: 0.563421 loss_dfl: 0.461917 loss: 2.115580 eta: 1 day, 6:02:39 batch_cost: 1.1294 data_cost: 0.0064 ips: 35.4168 images/s
[07/28 09:23:15] ppdet.engine INFO: Epoch: [167] [180/732] learning_rate: 0.075051 loss_vfl: 1.106526 loss_bbox: 0.571151 loss_dfl: 0.467699 loss: 2.153426 eta: 1 day, 6:02:15 batch_cost: 1.0272 data_cost: 0.0015 ips: 38.9397 images/s
[07/28 09:23:43] ppdet.engine INFO: Epoch: [167] [200/732] learning_rate: 0.075024 loss_vfl: 1.151257 loss_bbox: 0.586537 loss_dfl: 0.490988 loss: 2.238096 eta: 1 day, 6:01:53 batch_cost: 1.1101 data_cost: 0.0049 ips: 36.0338 images/s
[07/28 09:24:09] ppdet.engine INFO: Epoch: [167] [220/732] learning_rate: 0.074996 loss_vfl: 1.059100 loss_bbox: 0.543764 loss_dfl: 0.451775 loss: 2.012988 eta: 1 day, 6:01:31 batch_cost: 1.1278 data_cost: 0.0041 ips: 35.4677 images/s
[07/28 09:24:37] ppdet.engine INFO: Epoch: [167] [240/732] learning_rate: 0.074969 loss_vfl: 1.174314 loss_bbox: 0.600281 loss_dfl: 0.501094 loss: 2.269858 eta: 1 day, 6:01:09 batch_cost: 1.1740 data_cost: 0.0104 ips: 34.0710 images/s
[07/28 09:25:03] ppdet.engine INFO: Epoch: [167] [260/732] learning_rate: 0.074941 loss_vfl: 1.125266 loss_bbox: 0.571416 loss_dfl: 0.480042 loss: 2.158838 eta: 1 day, 6:00:46 batch_cost: 1.0616 data_cost: 0.0054 ips: 37.6774 images/s
[07/28 09:25:28] ppdet.engine INFO: Epoch: [167] [280/732] learning_rate: 0.074914 loss_vfl: 1.093441 loss_bbox: 0.562717 loss_dfl: 0.462157 loss: 2.118315 eta: 1 day, 6:00:23 batch_cost: 1.0486 data_cost: 0.0080 ips: 38.1471 images/s
[07/28 09:25:56] ppdet.engine INFO: Epoch: [167] [300/732] learning_rate: 0.074886 loss_vfl: 1.084415 loss_bbox: 0.542358 loss_dfl: 0.463796 loss: 2.082585 eta: 1 day, 6:00:02 batch_cost: 1.1849 data_cost: 0.0071 ips: 33.7584 images/s
[07/28 09:26:22] ppdet.engine INFO: Epoch: [167] [320/732] learning_rate: 0.074859 loss_vfl: 1.111818 loss_bbox: 0.575533 loss_dfl: 0.487374 loss: 2.184917 eta: 1 day, 5:59:39 batch_cost: 1.0709 data_cost: 0.0081 ips: 37.3526 images/s
[07/28 09:26:47] ppdet.engine INFO: Epoch: [167] [340/732] learning_rate: 0.074831 loss_vfl: 1.105154 loss_bbox: 0.562398 loss_dfl: 0.474734 loss: 2.148085 eta: 1 day, 5:59:16 batch_cost: 1.0787 data_cost: 0.0055 ips: 37.0822 images/s
[07/28 09:27:13] ppdet.engine INFO: Epoch: [167] [360/732] learning_rate: 0.074804 loss_vfl: 1.124023 loss_bbox: 0.566972 loss_dfl: 0.477068 loss: 2.136891 eta: 1 day, 5:58:53 batch_cost: 1.0797 data_cost: 0.0180 ips: 37.0457 images/s
[07/28 09:27:39] ppdet.engine INFO: Epoch: [167] [380/732] learning_rate: 0.074776 loss_vfl: 1.074907 loss_bbox: 0.555807 loss_dfl: 0.453548 loss: 2.067896 eta: 1 day, 5:58:29 batch_cost: 0.9547 data_cost: 0.0085 ips: 41.9000 images/s
[07/28 09:28:04] ppdet.engine INFO: Epoch: [167] [400/732] learning_rate: 0.074749 loss_vfl: 1.069702 loss_bbox: 0.557557 loss_dfl: 0.469543 loss: 2.078455 eta: 1 day, 5:58:05 batch_cost: 1.0156 data_cost: 0.0054 ips: 39.3850 images/s
[07/28 09:28:33] ppdet.engine INFO: Epoch: [167] [420/732] learning_rate: 0.074721 loss_vfl: 1.084393 loss_bbox: 0.561091 loss_dfl: 0.464425 loss: 2.095226 eta: 1 day, 5:57:44 batch_cost: 1.2232 data_cost: 0.0047 ips: 32.7015 images/s
[07/28 09:28:57] ppdet.engine INFO: Epoch: [167] [440/732] learning_rate: 0.074694 loss_vfl: 1.088911 loss_bbox: 0.553513 loss_dfl: 0.460600 loss: 2.116459 eta: 1 day, 5:57:21 batch_cost: 1.0105 data_cost: 0.0056 ips: 39.5828 images/s
[07/28 09:29:24] ppdet.engine INFO: Epoch: [167] [460/732] learning_rate: 0.074666 loss_vfl: 1.045604 loss_bbox: 0.530104 loss_dfl: 0.452726 loss: 2.055812 eta: 1 day, 5:56:59 batch_cost: 1.1621 data_cost: 0.0066 ips: 34.4210 images/s
[07/28 09:29:51] ppdet.engine INFO: Epoch: [167] [480/732] learning_rate: 0.074639 loss_vfl: 1.040813 loss_bbox: 0.544725 loss_dfl: 0.449366 loss: 2.025544 eta: 1 day, 5:56:37 batch_cost: 1.1373 data_cost: 0.0060 ips: 35.1708 images/s
[07/28 09:30:13] ppdet.engine INFO: Epoch: [167] [500/732] learning_rate: 0.074611 loss_vfl: 1.113396 loss_bbox: 0.580395 loss_dfl: 0.474265 loss: 2.164306 eta: 1 day, 5:56:13 batch_cost: 0.9563 data_cost: 0.0055 ips: 41.8280 images/s
[07/28 09:30:43] ppdet.engine INFO: Epoch: [167] [520/732] learning_rate: 0.074584 loss_vfl: 1.101741 loss_bbox: 0.542351 loss_dfl: 0.463137 loss: 2.095498 eta: 1 day, 5:55:53 batch_cost: 1.2624 data_cost: 0.0222 ips: 31.6853 images/s
[07/28 09:31:09] ppdet.engine INFO: Epoch: [167] [540/732] learning_rate: 0.074556 loss_vfl: 1.101763 loss_bbox: 0.561410 loss_dfl: 0.471593 loss: 2.137110 eta: 1 day, 5:55:30 batch_cost: 1.0792 data_cost: 0.0053 ips: 37.0631 images/s
[07/28 09:31:33] ppdet.engine INFO: Epoch: [167] [560/732] learning_rate: 0.074529 loss_vfl: 1.083706 loss_bbox: 0.556021 loss_dfl: 0.461204 loss: 2.077279 eta: 1 day, 5:55:06 batch_cost: 0.9824 data_cost: 0.0111 ips: 40.7183 images/s
[07/28 09:32:01] ppdet.engine INFO: Epoch: [167] [580/732] learning_rate: 0.074502 loss_vfl: 1.085253 loss_bbox: 0.572124 loss_dfl: 0.467142 loss: 2.130130 eta: 1 day, 5:54:43 batch_cost: 1.1183 data_cost: 0.1659 ips: 35.7693 images/s
[07/28 09:32:26] ppdet.engine INFO: Epoch: [167] [600/732] learning_rate: 0.074474 loss_vfl: 1.103392 loss_bbox: 0.567919 loss_dfl: 0.475601 loss: 2.142758 eta: 1 day, 5:54:21 batch_cost: 1.0779 data_cost: 0.0032 ips: 37.1088 images/s
[07/28 09:32:53] ppdet.engine INFO: Epoch: [167] [620/732] learning_rate: 0.074447 loss_vfl: 1.051702 loss_bbox: 0.536908 loss_dfl: 0.460666 loss: 2.060240 eta: 1 day, 5:53:59 batch_cost: 1.1370 data_cost: 0.1517 ips: 35.1813 images/s
[07/28 09:33:19] ppdet.engine INFO: Epoch: [167] [640/732] learning_rate: 0.074419 loss_vfl: 1.118689 loss_bbox: 0.559538 loss_dfl: 0.475834 loss: 2.181618 eta: 1 day, 5:53:37 batch_cost: 1.1350 data_cost: 0.1636 ips: 35.2423 images/s
[07/28 09:33:45] ppdet.engine INFO: Epoch: [167] [660/732] learning_rate: 0.074392 loss_vfl: 1.095053 loss_bbox: 0.565462 loss_dfl: 0.479925 loss: 2.155663 eta: 1 day, 5:53:14 batch_cost: 1.0928 data_cost: 0.0058 ips: 36.6021 images/s
[07/28 09:34:12] ppdet.engine INFO: Epoch: [167] [680/732] learning_rate: 0.074364 loss_vfl: 1.093621 loss_bbox: 0.582203 loss_dfl: 0.474411 loss: 2.144580 eta: 1 day, 5:52:51 batch_cost: 1.0703 data_cost: 0.0075 ips: 37.3733 images/s
[07/28 09:34:39] ppdet.engine INFO: Epoch: [167] [700/732] learning_rate: 0.074337 loss_vfl: 1.073529 loss_bbox: 0.564072 loss_dfl: 0.461332 loss: 2.085437 eta: 1 day, 5:52:31 batch_cost: 1.2162 data_cost: 0.0118 ips: 32.8890 images/s
[07/28 09:35:07] ppdet.engine INFO: Epoch: [167] [720/732] learning_rate: 0.074309 loss_vfl: 1.074538 loss_bbox: 0.538309 loss_dfl: 0.447087 loss: 2.050648 eta: 1 day, 5:52:10 batch_cost: 1.2136 data_cost: 0.0026 ips: 32.9588 images/s
[07/28 09:35:26] ppdet.engine INFO: Epoch: [168] [  0/732] learning_rate: 0.074293 loss_vfl: 1.070714 loss_bbox: 0.550701 loss_dfl: 0.463539 loss: 2.116896 eta: 1 day, 5:52:00 batch_cost: 1.2729 data_cost: 0.3642 ips: 31.4250 images/s
[07/28 09:35:53] ppdet.engine INFO: Epoch: [168] [ 20/732] learning_rate: 0.074266 loss_vfl: 1.092005 loss_bbox: 0.551221 loss_dfl: 0.459979 loss: 2.080840 eta: 1 day, 5:51:38 batch_cost: 1.1481 data_cost: 0.0044 ips: 34.8408 images/s
[07/28 09:36:23] ppdet.engine INFO: Epoch: [168] [ 40/732] learning_rate: 0.074238 loss_vfl: 1.075177 loss_bbox: 0.545654 loss_dfl: 0.452465 loss: 2.077421 eta: 1 day, 5:51:18 batch_cost: 1.2991 data_cost: 0.0031 ips: 30.7896 images/s
[07/28 09:36:49] ppdet.engine INFO: Epoch: [168] [ 60/732] learning_rate: 0.074211 loss_vfl: 1.088855 loss_bbox: 0.566960 loss_dfl: 0.469656 loss: 2.120279 eta: 1 day, 5:50:55 batch_cost: 1.0077 data_cost: 0.0035 ips: 39.6943 images/s
[07/28 09:37:16] ppdet.engine INFO: Epoch: [168] [ 80/732] learning_rate: 0.074183 loss_vfl: 1.119925 loss_bbox: 0.583851 loss_dfl: 0.486955 loss: 2.186664 eta: 1 day, 5:50:33 batch_cost: 1.1363 data_cost: 0.0039 ips: 35.2012 images/s
[07/28 09:37:42] ppdet.engine INFO: Epoch: [168] [100/732] learning_rate: 0.074156 loss_vfl: 1.055475 loss_bbox: 0.543835 loss_dfl: 0.460267 loss: 2.067139 eta: 1 day, 5:50:10 batch_cost: 1.0740 data_cost: 0.0111 ips: 37.2434 images/s
[07/28 09:38:07] ppdet.engine INFO: Epoch: [168] [120/732] learning_rate: 0.074129 loss_vfl: 1.089618 loss_bbox: 0.562901 loss_dfl: 0.469549 loss: 2.128797 eta: 1 day, 5:49:46 batch_cost: 1.0193 data_cost: 0.0053 ips: 39.2419 images/s
[07/28 09:38:33] ppdet.engine INFO: Epoch: [168] [140/732] learning_rate: 0.074101 loss_vfl: 1.120941 loss_bbox: 0.571011 loss_dfl: 0.478928 loss: 2.197963 eta: 1 day, 5:49:24 batch_cost: 1.1151 data_cost: 0.0078 ips: 35.8715 images/s
[07/28 09:39:00] ppdet.engine INFO: Epoch: [168] [160/732] learning_rate: 0.074074 loss_vfl: 1.103009 loss_bbox: 0.566224 loss_dfl: 0.479433 loss: 2.144610 eta: 1 day, 5:49:02 batch_cost: 1.1049 data_cost: 0.0020 ips: 36.2017 images/s
[07/28 09:39:28] ppdet.engine INFO: Epoch: [168] [180/732] learning_rate: 0.074046 loss_vfl: 1.069757 loss_bbox: 0.558302 loss_dfl: 0.462782 loss: 2.073098 eta: 1 day, 5:48:39 batch_cost: 1.1013 data_cost: 0.0073 ips: 36.3210 images/s
[07/28 09:39:54] ppdet.engine INFO: Epoch: [168] [200/732] learning_rate: 0.074019 loss_vfl: 1.110264 loss_bbox: 0.567620 loss_dfl: 0.473549 loss: 2.142775 eta: 1 day, 5:48:16 batch_cost: 1.0655 data_cost: 0.0083 ips: 37.5405 images/s
[07/28 09:40:21] ppdet.engine INFO: Epoch: [168] [220/732] learning_rate: 0.073992 loss_vfl: 1.106162 loss_bbox: 0.582144 loss_dfl: 0.486160 loss: 2.173265 eta: 1 day, 5:47:53 batch_cost: 1.0805 data_cost: 0.0036 ips: 37.0188 images/s
[07/28 09:40:46] ppdet.engine INFO: Epoch: [168] [240/732] learning_rate: 0.073964 loss_vfl: 1.096789 loss_bbox: 0.559241 loss_dfl: 0.464078 loss: 2.125680 eta: 1 day, 5:47:29 batch_cost: 0.9605 data_cost: 0.0085 ips: 41.6461 images/s
[07/28 09:41:13] ppdet.engine INFO: Epoch: [168] [260/732] learning_rate: 0.073937 loss_vfl: 1.086969 loss_bbox: 0.561325 loss_dfl: 0.466184 loss: 2.096692 eta: 1 day, 5:47:06 batch_cost: 1.0975 data_cost: 0.0488 ips: 36.4461 images/s
[07/28 09:41:41] ppdet.engine INFO: Epoch: [168] [280/732] learning_rate: 0.073910 loss_vfl: 1.111521 loss_bbox: 0.572830 loss_dfl: 0.476106 loss: 2.164683 eta: 1 day, 5:46:44 batch_cost: 1.1101 data_cost: 0.0022 ips: 36.0324 images/s
[07/28 09:42:07] ppdet.engine INFO: Epoch: [168] [300/732] learning_rate: 0.073882 loss_vfl: 1.084692 loss_bbox: 0.555251 loss_dfl: 0.465863 loss: 2.119877 eta: 1 day, 5:46:22 batch_cost: 1.1194 data_cost: 0.0077 ips: 35.7346 images/s
[07/28 09:42:32] ppdet.engine INFO: Epoch: [168] [320/732] learning_rate: 0.073855 loss_vfl: 1.078585 loss_bbox: 0.547805 loss_dfl: 0.465511 loss: 2.087956 eta: 1 day, 5:45:59 batch_cost: 1.0768 data_cost: 0.0057 ips: 37.1461 images/s
[07/28 09:42:59] ppdet.engine INFO: Epoch: [168] [340/732] learning_rate: 0.073827 loss_vfl: 1.102166 loss_bbox: 0.556636 loss_dfl: 0.478356 loss: 2.155694 eta: 1 day, 5:45:38 batch_cost: 1.1892 data_cost: 0.0058 ips: 33.6367 images/s
[07/28 09:43:26] ppdet.engine INFO: Epoch: [168] [360/732] learning_rate: 0.073800 loss_vfl: 1.093305 loss_bbox: 0.556242 loss_dfl: 0.464713 loss: 2.122674 eta: 1 day, 5:45:16 batch_cost: 1.1111 data_cost: 0.0046 ips: 35.9997 images/s
[07/28 09:43:52] ppdet.engine INFO: Epoch: [168] [380/732] learning_rate: 0.073773 loss_vfl: 1.127101 loss_bbox: 0.585681 loss_dfl: 0.481722 loss: 2.193579 eta: 1 day, 5:44:52 batch_cost: 1.0307 data_cost: 0.0050 ips: 38.8083 images/s
[07/28 09:44:19] ppdet.engine INFO: Epoch: [168] [400/732] learning_rate: 0.073745 loss_vfl: 1.104536 loss_bbox: 0.560073 loss_dfl: 0.469831 loss: 2.118016 eta: 1 day, 5:44:31 batch_cost: 1.1656 data_cost: 0.0078 ips: 34.3172 images/s
[07/28 09:44:43] ppdet.engine INFO: Epoch: [168] [420/732] learning_rate: 0.073718 loss_vfl: 1.065229 loss_bbox: 0.546881 loss_dfl: 0.460490 loss: 2.066385 eta: 1 day, 5:44:06 batch_cost: 0.9688 data_cost: 0.0066 ips: 41.2898 images/s
[07/28 09:45:10] ppdet.engine INFO: Epoch: [168] [440/732] learning_rate: 0.073691 loss_vfl: 1.054759 loss_bbox: 0.518781 loss_dfl: 0.445114 loss: 2.036866 eta: 1 day, 5:43:44 batch_cost: 1.1111 data_cost: 0.0057 ips: 36.0001 images/s
[07/28 09:45:35] ppdet.engine INFO: Epoch: [168] [460/732] learning_rate: 0.073663 loss_vfl: 1.104492 loss_bbox: 0.579995 loss_dfl: 0.485890 loss: 2.185085 eta: 1 day, 5:43:20 batch_cost: 1.0299 data_cost: 0.0061 ips: 38.8389 images/s
[07/28 09:46:01] ppdet.engine INFO: Epoch: [168] [480/732] learning_rate: 0.073636 loss_vfl: 1.099835 loss_bbox: 0.567798 loss_dfl: 0.480763 loss: 2.152100 eta: 1 day, 5:42:58 batch_cost: 1.0856 data_cost: 0.0089 ips: 36.8453 images/s
[07/28 09:46:27] ppdet.engine INFO: Epoch: [168] [500/732] learning_rate: 0.073609 loss_vfl: 1.061518 loss_bbox: 0.558762 loss_dfl: 0.468901 loss: 2.105662 eta: 1 day, 5:42:35 batch_cost: 1.1084 data_cost: 0.0068 ips: 36.0891 images/s
[07/28 09:46:54] ppdet.engine INFO: Epoch: [168] [520/732] learning_rate: 0.073581 loss_vfl: 1.115892 loss_bbox: 0.546203 loss_dfl: 0.464279 loss: 2.125804 eta: 1 day, 5:42:13 batch_cost: 1.1199 data_cost: 0.0031 ips: 35.7178 images/s
[07/28 09:47:21] ppdet.engine INFO: Epoch: [168] [540/732] learning_rate: 0.073554 loss_vfl: 1.102781 loss_bbox: 0.542524 loss_dfl: 0.468526 loss: 2.113964 eta: 1 day, 5:41:51 batch_cost: 1.0975 data_cost: 0.0060 ips: 36.4454 images/s
[07/28 09:47:49] ppdet.engine INFO: Epoch: [168] [560/732] learning_rate: 0.073527 loss_vfl: 1.110682 loss_bbox: 0.570212 loss_dfl: 0.478201 loss: 2.149583 eta: 1 day, 5:41:30 batch_cost: 1.2225 data_cost: 0.0046 ips: 32.7208 images/s
[07/28 09:48:14] ppdet.engine INFO: Epoch: [168] [580/732] learning_rate: 0.073499 loss_vfl: 1.136598 loss_bbox: 0.575645 loss_dfl: 0.482830 loss: 2.166888 eta: 1 day, 5:41:07 batch_cost: 1.0285 data_cost: 0.0066 ips: 38.8908 images/s
[07/28 09:48:42] ppdet.engine INFO: Epoch: [168] [600/732] learning_rate: 0.073472 loss_vfl: 1.091920 loss_bbox: 0.564085 loss_dfl: 0.466147 loss: 2.135428 eta: 1 day, 5:40:45 batch_cost: 1.1475 data_cost: 0.0055 ips: 34.8598 images/s
[07/28 09:49:07] ppdet.engine INFO: Epoch: [168] [620/732] learning_rate: 0.073445 loss_vfl: 1.114746 loss_bbox: 0.572417 loss_dfl: 0.486451 loss: 2.187723 eta: 1 day, 5:40:22 batch_cost: 1.0740 data_cost: 0.0035 ips: 37.2436 images/s
[07/28 09:49:32] ppdet.engine INFO: Epoch: [168] [640/732] learning_rate: 0.073417 loss_vfl: 1.105689 loss_bbox: 0.586673 loss_dfl: 0.487112 loss: 2.194526 eta: 1 day, 5:39:58 batch_cost: 1.0207 data_cost: 0.0058 ips: 39.1880 images/s
[07/28 09:49:59] ppdet.engine INFO: Epoch: [168] [660/732] learning_rate: 0.073390 loss_vfl: 1.066667 loss_bbox: 0.557690 loss_dfl: 0.462681 loss: 2.088314 eta: 1 day, 5:39:37 batch_cost: 1.1542 data_cost: 0.0106 ips: 34.6546 images/s
[07/28 09:50:25] ppdet.engine INFO: Epoch: [168] [680/732] learning_rate: 0.073363 loss_vfl: 1.080701 loss_bbox: 0.534221 loss_dfl: 0.451681 loss: 2.071943 eta: 1 day, 5:39:14 batch_cost: 1.1136 data_cost: 0.0050 ips: 35.9207 images/s
[07/28 09:50:51] ppdet.engine INFO: Epoch: [168] [700/732] learning_rate: 0.073336 loss_vfl: 1.124716 loss_bbox: 0.568443 loss_dfl: 0.475718 loss: 2.170441 eta: 1 day, 5:38:51 batch_cost: 1.0495 data_cost: 0.0099 ips: 38.1130 images/s
[07/28 09:51:19] ppdet.engine INFO: Epoch: [168] [720/732] learning_rate: 0.073308 loss_vfl: 1.126046 loss_bbox: 0.548297 loss_dfl: 0.462048 loss: 2.135600 eta: 1 day, 5:38:31 batch_cost: 1.2432 data_cost: 0.0106 ips: 32.1760 images/s
[07/28 09:51:36] ppdet.engine INFO: Epoch: [169] [  0/732] learning_rate: 0.073292 loss_vfl: 1.081441 loss_bbox: 0.552896 loss_dfl: 0.458883 loss: 2.115466 eta: 1 day, 5:38:18 batch_cost: 1.1642 data_cost: 0.3293 ips: 34.3586 images/s
[07/28 09:52:07] ppdet.engine INFO: Epoch: [169] [ 20/732] learning_rate: 0.073265 loss_vfl: 1.084681 loss_bbox: 0.560050 loss_dfl: 0.452918 loss: 2.100757 eta: 1 day, 5:37:58 batch_cost: 1.2070 data_cost: 0.0074 ips: 33.1392 images/s
[07/28 09:52:34] ppdet.engine INFO: Epoch: [169] [ 40/732] learning_rate: 0.073237 loss_vfl: 1.086833 loss_bbox: 0.553152 loss_dfl: 0.468562 loss: 2.073557 eta: 1 day, 5:37:36 batch_cost: 1.1412 data_cost: 0.0080 ips: 35.0503 images/s
[07/28 09:53:00] ppdet.engine INFO: Epoch: [169] [ 60/732] learning_rate: 0.073210 loss_vfl: 1.050807 loss_bbox: 0.528693 loss_dfl: 0.448574 loss: 2.024648 eta: 1 day, 5:37:12 batch_cost: 0.9999 data_cost: 0.0078 ips: 40.0042 images/s
[07/28 09:53:26] ppdet.engine INFO: Epoch: [169] [ 80/732] learning_rate: 0.073183 loss_vfl: 1.122102 loss_bbox: 0.570985 loss_dfl: 0.480154 loss: 2.177471 eta: 1 day, 5:36:49 batch_cost: 1.1059 data_cost: 0.0068 ips: 36.1710 images/s
[07/28 09:53:54] ppdet.engine INFO: Epoch: [169] [100/732] learning_rate: 0.073156 loss_vfl: 1.072698 loss_bbox: 0.541971 loss_dfl: 0.458106 loss: 2.069388 eta: 1 day, 5:36:28 batch_cost: 1.1474 data_cost: 0.0067 ips: 34.8606 images/s
[07/28 09:54:19] ppdet.engine INFO: Epoch: [169] [120/732] learning_rate: 0.073128 loss_vfl: 1.081042 loss_bbox: 0.557533 loss_dfl: 0.463415 loss: 2.090354 eta: 1 day, 5:36:05 batch_cost: 1.0946 data_cost: 0.0014 ips: 36.5424 images/s
[07/28 09:54:44] ppdet.engine INFO: Epoch: [169] [140/732] learning_rate: 0.073101 loss_vfl: 1.130116 loss_bbox: 0.564339 loss_dfl: 0.483948 loss: 2.180682 eta: 1 day, 5:35:41 batch_cost: 1.0107 data_cost: 0.0098 ips: 39.5756 images/s
[07/28 09:55:10] ppdet.engine INFO: Epoch: [169] [160/732] learning_rate: 0.073074 loss_vfl: 1.097067 loss_bbox: 0.552443 loss_dfl: 0.465125 loss: 2.132564 eta: 1 day, 5:35:19 batch_cost: 1.0978 data_cost: 0.0039 ips: 36.4362 images/s
[07/28 09:55:37] ppdet.engine INFO: Epoch: [169] [180/732] learning_rate: 0.073046 loss_vfl: 1.114622 loss_bbox: 0.593970 loss_dfl: 0.499721 loss: 2.226177 eta: 1 day, 5:34:57 batch_cost: 1.1501 data_cost: 0.0019 ips: 34.7798 images/s
[07/28 09:56:03] ppdet.engine INFO: Epoch: [169] [200/732] learning_rate: 0.073019 loss_vfl: 1.056909 loss_bbox: 0.528484 loss_dfl: 0.451138 loss: 2.039645 eta: 1 day, 5:34:34 batch_cost: 1.0549 data_cost: 0.0095 ips: 37.9170 images/s
[07/28 09:56:29] ppdet.engine INFO: Epoch: [169] [220/732] learning_rate: 0.072992 loss_vfl: 1.061659 loss_bbox: 0.548999 loss_dfl: 0.456111 loss: 2.038406 eta: 1 day, 5:34:10 batch_cost: 0.9972 data_cost: 0.0041 ips: 40.1140 images/s
[07/28 09:56:56] ppdet.engine INFO: Epoch: [169] [240/732] learning_rate: 0.072965 loss_vfl: 1.116959 loss_bbox: 0.564647 loss_dfl: 0.471616 loss: 2.153743 eta: 1 day, 5:33:47 batch_cost: 1.0659 data_cost: 0.0068 ips: 37.5256 images/s
[07/28 09:57:21] ppdet.engine INFO: Epoch: [169] [260/732] learning_rate: 0.072937 loss_vfl: 1.048559 loss_bbox: 0.544482 loss_dfl: 0.447889 loss: 2.042822 eta: 1 day, 5:33:23 batch_cost: 1.0174 data_cost: 0.0070 ips: 39.3173 images/s
[07/28 09:57:47] ppdet.engine INFO: Epoch: [169] [280/732] learning_rate: 0.072910 loss_vfl: 1.083661 loss_bbox: 0.559416 loss_dfl: 0.461122 loss: 2.097473 eta: 1 day, 5:33:00 batch_cost: 1.0298 data_cost: 0.0080 ips: 38.8412 images/s
[07/28 09:58:13] ppdet.engine INFO: Epoch: [169] [300/732] learning_rate: 0.072883 loss_vfl: 1.086753 loss_bbox: 0.573967 loss_dfl: 0.475222 loss: 2.159096 eta: 1 day, 5:32:38 batch_cost: 1.1219 data_cost: 0.0118 ips: 35.6539 images/s
[07/28 09:58:40] ppdet.engine INFO: Epoch: [169] [320/732] learning_rate: 0.072856 loss_vfl: 1.091853 loss_bbox: 0.560024 loss_dfl: 0.471287 loss: 2.141820 eta: 1 day, 5:32:16 batch_cost: 1.1307 data_cost: 0.0068 ips: 35.3758 images/s
[07/28 09:59:06] ppdet.engine INFO: Epoch: [169] [340/732] learning_rate: 0.072829 loss_vfl: 1.081927 loss_bbox: 0.564265 loss_dfl: 0.477049 loss: 2.108679 eta: 1 day, 5:31:54 batch_cost: 1.1450 data_cost: 0.0037 ips: 34.9341 images/s
[07/28 09:59:32] ppdet.engine INFO: Epoch: [169] [360/732] learning_rate: 0.072801 loss_vfl: 1.074742 loss_bbox: 0.536284 loss_dfl: 0.465034 loss: 2.078493 eta: 1 day, 5:31:32 batch_cost: 1.1040 data_cost: 0.0066 ips: 36.2318 images/s
[07/28 09:59:59] ppdet.engine INFO: Epoch: [169] [380/732] learning_rate: 0.072774 loss_vfl: 1.077880 loss_bbox: 0.555126 loss_dfl: 0.467770 loss: 2.123016 eta: 1 day, 5:31:10 batch_cost: 1.1694 data_cost: 0.0063 ips: 34.2070 images/s
[07/28 10:00:24] ppdet.engine INFO: Epoch: [169] [400/732] learning_rate: 0.072747 loss_vfl: 1.055940 loss_bbox: 0.571997 loss_dfl: 0.463487 loss: 2.091556 eta: 1 day, 5:30:47 batch_cost: 1.0382 data_cost: 0.0048 ips: 38.5290 images/s
[07/28 10:00:51] ppdet.engine INFO: Epoch: [169] [420/732] learning_rate: 0.072720 loss_vfl: 1.150660 loss_bbox: 0.567329 loss_dfl: 0.480836 loss: 2.204244 eta: 1 day, 5:30:24 batch_cost: 1.0912 data_cost: 0.0086 ips: 36.6559 images/s
[07/28 10:01:17] ppdet.engine INFO: Epoch: [169] [440/732] learning_rate: 0.072692 loss_vfl: 1.083337 loss_bbox: 0.570907 loss_dfl: 0.468322 loss: 2.110516 eta: 1 day, 5:30:01 batch_cost: 1.0334 data_cost: 0.0108 ips: 38.7062 images/s
[07/28 10:01:43] ppdet.engine INFO: Epoch: [169] [460/732] learning_rate: 0.072665 loss_vfl: 1.105465 loss_bbox: 0.572432 loss_dfl: 0.476777 loss: 2.169897 eta: 1 day, 5:29:39 batch_cost: 1.1266 data_cost: 0.0075 ips: 35.5042 images/s
[07/28 10:02:07] ppdet.engine INFO: Epoch: [169] [480/732] learning_rate: 0.072638 loss_vfl: 1.094594 loss_bbox: 0.556000 loss_dfl: 0.472207 loss: 2.113781 eta: 1 day, 5:29:15 batch_cost: 0.9912 data_cost: 0.0052 ips: 40.3537 images/s
[07/28 10:02:34] ppdet.engine INFO: Epoch: [169] [500/732] learning_rate: 0.072611 loss_vfl: 1.123561 loss_bbox: 0.591400 loss_dfl: 0.488951 loss: 2.194775 eta: 1 day, 5:28:53 batch_cost: 1.1398 data_cost: 0.0660 ips: 35.0928 images/s
[07/28 10:03:01] ppdet.engine INFO: Epoch: [169] [520/732] learning_rate: 0.072584 loss_vfl: 1.067445 loss_bbox: 0.534251 loss_dfl: 0.451684 loss: 2.039584 eta: 1 day, 5:28:31 batch_cost: 1.1264 data_cost: 0.1776 ips: 35.5126 images/s
[07/28 10:03:26] ppdet.engine INFO: Epoch: [169] [540/732] learning_rate: 0.072556 loss_vfl: 1.056553 loss_bbox: 0.531451 loss_dfl: 0.447278 loss: 2.030409 eta: 1 day, 5:28:06 batch_cost: 0.9352 data_cost: 0.0070 ips: 42.7700 images/s
[07/28 10:03:53] ppdet.engine INFO: Epoch: [169] [560/732] learning_rate: 0.072529 loss_vfl: 1.133517 loss_bbox: 0.573583 loss_dfl: 0.484760 loss: 2.182612 eta: 1 day, 5:27:43 batch_cost: 1.0959 data_cost: 0.1241 ips: 36.4986 images/s
[07/28 10:04:18] ppdet.engine INFO: Epoch: [169] [580/732] learning_rate: 0.072502 loss_vfl: 1.082253 loss_bbox: 0.562779 loss_dfl: 0.459799 loss: 2.074687 eta: 1 day, 5:27:20 batch_cost: 1.0492 data_cost: 0.0014 ips: 38.1243 images/s
[07/28 10:04:45] ppdet.engine INFO: Epoch: [169] [600/732] learning_rate: 0.072475 loss_vfl: 1.079552 loss_bbox: 0.561521 loss_dfl: 0.469127 loss: 2.109659 eta: 1 day, 5:26:58 batch_cost: 1.1164 data_cost: 0.0027 ips: 35.8284 images/s
[07/28 10:05:11] ppdet.engine INFO: Epoch: [169] [620/732] learning_rate: 0.072448 loss_vfl: 1.094682 loss_bbox: 0.565686 loss_dfl: 0.475790 loss: 2.142736 eta: 1 day, 5:26:35 batch_cost: 1.0518 data_cost: 0.0018 ips: 38.0309 images/s
[07/28 10:05:37] ppdet.engine INFO: Epoch: [169] [640/732] learning_rate: 0.072421 loss_vfl: 1.080129 loss_bbox: 0.546968 loss_dfl: 0.455785 loss: 2.067393 eta: 1 day, 5:26:12 batch_cost: 1.0969 data_cost: 0.0099 ips: 36.4654 images/s
[07/28 10:06:04] ppdet.engine INFO: Epoch: [169] [660/732] learning_rate: 0.072393 loss_vfl: 1.076646 loss_bbox: 0.575328 loss_dfl: 0.465817 loss: 2.112049 eta: 1 day, 5:25:48 batch_cost: 0.9766 data_cost: 0.0054 ips: 40.9566 images/s
[07/28 10:06:29] ppdet.engine INFO: Epoch: [169] [680/732] learning_rate: 0.072366 loss_vfl: 1.086880 loss_bbox: 0.571985 loss_dfl: 0.483507 loss: 2.136956 eta: 1 day, 5:25:24 batch_cost: 1.0335 data_cost: 0.0050 ips: 38.7051 images/s
[07/28 10:06:56] ppdet.engine INFO: Epoch: [169] [700/732] learning_rate: 0.072339 loss_vfl: 1.083807 loss_bbox: 0.570265 loss_dfl: 0.462804 loss: 2.079656 eta: 1 day, 5:25:01 batch_cost: 1.0515 data_cost: 0.0046 ips: 38.0410 images/s
[07/28 10:07:21] ppdet.engine INFO: Epoch: [169] [720/732] learning_rate: 0.072312 loss_vfl: 1.101658 loss_bbox: 0.572117 loss_dfl: 0.477136 loss: 2.143611 eta: 1 day, 5:24:38 batch_cost: 1.0661 data_cost: 0.0038 ips: 37.5198 images/s
[07/28 10:07:32] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 10:07:32] ppdet.engine INFO: Eval iter: 0
[07/28 10:07:53] ppdet.engine INFO: Eval iter: 100
[07/28 10:08:03] ppdet.engine INFO: Eval iter: 200
[07/28 10:08:12] ppdet.engine INFO: Eval iter: 300
[07/28 10:08:22] ppdet.engine INFO: Eval iter: 400
[07/28 10:08:31] ppdet.engine INFO: Eval iter: 500
[07/28 10:08:41] ppdet.engine INFO: Eval iter: 600
[07/28 10:08:57] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=1.01s)
creating index...
index created!
[07/28 10:08:58] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.00s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.65s).
Accumulating evaluation results...
DONE (t=21.23s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.271
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.404
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.288
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.099
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.289
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.412
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.262
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.427
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.456
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.193
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.507
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.682
[07/28 10:11:07] ppdet.engine INFO: Total sample number: 4952, averge FPS: 68.97204954142133
[07/28 10:11:07] ppdet.engine INFO: Best test bbox ap is 0.271.
[07/28 10:11:07] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 10:11:08] ppdet.engine INFO: Epoch: [170] [  0/732] learning_rate: 0.072296 loss_vfl: 1.096618 loss_bbox: 0.559028 loss_dfl: 0.470851 loss: 2.124970 eta: 1 day, 5:24:20 batch_cost: 0.8028 data_cost: 0.0019 ips: 49.8259 images/s
[07/28 10:11:33] ppdet.engine INFO: Epoch: [170] [ 20/732] learning_rate: 0.072268 loss_vfl: 1.087903 loss_bbox: 0.560124 loss_dfl: 0.471278 loss: 2.126134 eta: 1 day, 5:23:56 batch_cost: 0.9880 data_cost: 0.0080 ips: 40.4844 images/s
[07/28 10:11:59] ppdet.engine INFO: Epoch: [170] [ 40/732] learning_rate: 0.072241 loss_vfl: 1.078423 loss_bbox: 0.560762 loss_dfl: 0.467290 loss: 2.092774 eta: 1 day, 5:23:33 batch_cost: 1.0547 data_cost: 0.0078 ips: 37.9264 images/s
[07/28 10:12:26] ppdet.engine INFO: Epoch: [170] [ 60/732] learning_rate: 0.072214 loss_vfl: 1.079786 loss_bbox: 0.556190 loss_dfl: 0.469126 loss: 2.115151 eta: 1 day, 5:23:11 batch_cost: 1.1482 data_cost: 0.0065 ips: 34.8372 images/s
[07/28 10:12:52] ppdet.engine INFO: Epoch: [170] [ 80/732] learning_rate: 0.072187 loss_vfl: 1.092956 loss_bbox: 0.550127 loss_dfl: 0.467265 loss: 2.095327 eta: 1 day, 5:22:48 batch_cost: 1.0576 data_cost: 0.0035 ips: 37.8226 images/s
[07/28 10:13:18] ppdet.engine INFO: Epoch: [170] [100/732] learning_rate: 0.072160 loss_vfl: 1.093078 loss_bbox: 0.563662 loss_dfl: 0.468358 loss: 2.115933 eta: 1 day, 5:22:27 batch_cost: 1.1514 data_cost: 0.0046 ips: 34.7404 images/s
[07/28 10:13:46] ppdet.engine INFO: Epoch: [170] [120/732] learning_rate: 0.072133 loss_vfl: 1.029984 loss_bbox: 0.511780 loss_dfl: 0.442230 loss: 1.992819 eta: 1 day, 5:22:06 batch_cost: 1.1872 data_cost: 0.0057 ips: 33.6931 images/s
[07/28 10:14:11] ppdet.engine INFO: Epoch: [170] [140/732] learning_rate: 0.072106 loss_vfl: 1.073653 loss_bbox: 0.562531 loss_dfl: 0.465780 loss: 2.108044 eta: 1 day, 5:21:43 batch_cost: 1.0766 data_cost: 0.0042 ips: 37.1528 images/s
[07/28 10:14:38] ppdet.engine INFO: Epoch: [170] [160/732] learning_rate: 0.072078 loss_vfl: 1.142739 loss_bbox: 0.589633 loss_dfl: 0.491539 loss: 2.220053 eta: 1 day, 5:21:21 batch_cost: 1.1580 data_cost: 0.0041 ips: 34.5421 images/s
[07/28 10:15:06] ppdet.engine INFO: Epoch: [170] [180/732] learning_rate: 0.072051 loss_vfl: 1.118070 loss_bbox: 0.575870 loss_dfl: 0.478644 loss: 2.182548 eta: 1 day, 5:21:02 batch_cost: 1.2873 data_cost: 0.0051 ips: 31.0739 images/s
[07/28 10:15:31] ppdet.engine INFO: Epoch: [170] [200/732] learning_rate: 0.072024 loss_vfl: 1.070829 loss_bbox: 0.548034 loss_dfl: 0.457871 loss: 2.084896 eta: 1 day, 5:20:39 batch_cost: 1.0829 data_cost: 0.0048 ips: 36.9369 images/s
[07/28 10:15:58] ppdet.engine INFO: Epoch: [170] [220/732] learning_rate: 0.071997 loss_vfl: 1.083048 loss_bbox: 0.545037 loss_dfl: 0.454557 loss: 2.075590 eta: 1 day, 5:20:18 batch_cost: 1.1702 data_cost: 0.0043 ips: 34.1825 images/s
[07/28 10:16:24] ppdet.engine INFO: Epoch: [170] [240/732] learning_rate: 0.071970 loss_vfl: 1.083616 loss_bbox: 0.563225 loss_dfl: 0.471711 loss: 2.116959 eta: 1 day, 5:19:55 batch_cost: 1.1022 data_cost: 0.0065 ips: 36.2909 images/s
[07/28 10:16:50] ppdet.engine INFO: Epoch: [170] [260/732] learning_rate: 0.071943 loss_vfl: 1.142972 loss_bbox: 0.587338 loss_dfl: 0.492645 loss: 2.240591 eta: 1 day, 5:19:31 batch_cost: 1.0192 data_cost: 0.0093 ips: 39.2473 images/s
[07/28 10:17:18] ppdet.engine INFO: Epoch: [170] [280/732] learning_rate: 0.071916 loss_vfl: 1.095238 loss_bbox: 0.560879 loss_dfl: 0.469265 loss: 2.115991 eta: 1 day, 5:19:10 batch_cost: 1.1892 data_cost: 0.0041 ips: 33.6366 images/s
[07/28 10:17:43] ppdet.engine INFO: Epoch: [170] [300/732] learning_rate: 0.071889 loss_vfl: 1.075964 loss_bbox: 0.582163 loss_dfl: 0.470463 loss: 2.105820 eta: 1 day, 5:18:47 batch_cost: 1.0093 data_cost: 0.0056 ips: 39.6308 images/s
[07/28 10:18:09] ppdet.engine INFO: Epoch: [170] [320/732] learning_rate: 0.071862 loss_vfl: 1.098336 loss_bbox: 0.558781 loss_dfl: 0.483742 loss: 2.157225 eta: 1 day, 5:18:23 batch_cost: 1.0148 data_cost: 0.0077 ips: 39.4163 images/s
[07/28 10:18:35] ppdet.engine INFO: Epoch: [170] [340/732] learning_rate: 0.071834 loss_vfl: 1.065069 loss_bbox: 0.554628 loss_dfl: 0.466321 loss: 2.097630 eta: 1 day, 5:18:00 batch_cost: 1.0951 data_cost: 0.0061 ips: 36.5261 images/s
[07/28 10:19:03] ppdet.engine INFO: Epoch: [170] [360/732] learning_rate: 0.071807 loss_vfl: 1.119964 loss_bbox: 0.583085 loss_dfl: 0.485409 loss: 2.203482 eta: 1 day, 5:17:40 batch_cost: 1.2120 data_cost: 0.0050 ips: 33.0031 images/s
[07/28 10:19:29] ppdet.engine INFO: Epoch: [170] [380/732] learning_rate: 0.071780 loss_vfl: 1.062092 loss_bbox: 0.547136 loss_dfl: 0.465385 loss: 2.098399 eta: 1 day, 5:17:16 batch_cost: 1.0544 data_cost: 0.0061 ips: 37.9359 images/s
[07/28 10:19:56] ppdet.engine INFO: Epoch: [170] [400/732] learning_rate: 0.071753 loss_vfl: 1.069473 loss_bbox: 0.526375 loss_dfl: 0.445787 loss: 2.044652 eta: 1 day, 5:16:54 batch_cost: 1.1015 data_cost: 0.0056 ips: 36.3142 images/s
[07/28 10:20:20] ppdet.engine INFO: Epoch: [170] [420/732] learning_rate: 0.071726 loss_vfl: 1.063271 loss_bbox: 0.556979 loss_dfl: 0.454708 loss: 2.068287 eta: 1 day, 5:16:30 batch_cost: 0.9746 data_cost: 0.0106 ips: 41.0435 images/s
[07/28 10:20:46] ppdet.engine INFO: Epoch: [170] [440/732] learning_rate: 0.071699 loss_vfl: 1.097738 loss_bbox: 0.574123 loss_dfl: 0.475210 loss: 2.146914 eta: 1 day, 5:16:08 batch_cost: 1.1498 data_cost: 0.0115 ips: 34.7888 images/s
[07/28 10:21:12] ppdet.engine INFO: Epoch: [170] [460/732] learning_rate: 0.071672 loss_vfl: 1.051783 loss_bbox: 0.565434 loss_dfl: 0.457301 loss: 2.081784 eta: 1 day, 5:15:45 batch_cost: 1.0765 data_cost: 0.0571 ips: 37.1562 images/s
[07/28 10:21:38] ppdet.engine INFO: Epoch: [170] [480/732] learning_rate: 0.071645 loss_vfl: 1.081946 loss_bbox: 0.548474 loss_dfl: 0.462242 loss: 2.106790 eta: 1 day, 5:15:21 batch_cost: 0.9849 data_cost: 0.0082 ips: 40.6125 images/s
[07/28 10:22:03] ppdet.engine INFO: Epoch: [170] [500/732] learning_rate: 0.071618 loss_vfl: 1.135902 loss_bbox: 0.583436 loss_dfl: 0.491813 loss: 2.223235 eta: 1 day, 5:14:58 batch_cost: 1.0402 data_cost: 0.0082 ips: 38.4547 images/s
[07/28 10:22:30] ppdet.engine INFO: Epoch: [170] [520/732] learning_rate: 0.071591 loss_vfl: 1.089157 loss_bbox: 0.573179 loss_dfl: 0.470229 loss: 2.113929 eta: 1 day, 5:14:36 batch_cost: 1.1690 data_cost: 0.0076 ips: 34.2167 images/s
[07/28 10:22:57] ppdet.engine INFO: Epoch: [170] [540/732] learning_rate: 0.071564 loss_vfl: 1.059156 loss_bbox: 0.540960 loss_dfl: 0.454085 loss: 2.050761 eta: 1 day, 5:14:14 batch_cost: 1.1039 data_cost: 0.0054 ips: 36.2359 images/s
[07/28 10:23:23] ppdet.engine INFO: Epoch: [170] [560/732] learning_rate: 0.071537 loss_vfl: 1.114919 loss_bbox: 0.562049 loss_dfl: 0.477117 loss: 2.153120 eta: 1 day, 5:13:51 batch_cost: 1.0770 data_cost: 0.0082 ips: 37.1398 images/s
[07/28 10:23:49] ppdet.engine INFO: Epoch: [170] [580/732] learning_rate: 0.071510 loss_vfl: 1.107497 loss_bbox: 0.575378 loss_dfl: 0.485888 loss: 2.180683 eta: 1 day, 5:13:28 batch_cost: 1.0618 data_cost: 0.0038 ips: 37.6735 images/s
[07/28 10:24:14] ppdet.engine INFO: Epoch: [170] [600/732] learning_rate: 0.071483 loss_vfl: 1.122929 loss_bbox: 0.548500 loss_dfl: 0.473216 loss: 2.152062 eta: 1 day, 5:13:04 batch_cost: 1.0102 data_cost: 0.0064 ips: 39.5959 images/s
[07/28 10:24:40] ppdet.engine INFO: Epoch: [170] [620/732] learning_rate: 0.071455 loss_vfl: 1.114308 loss_bbox: 0.572114 loss_dfl: 0.482335 loss: 2.173993 eta: 1 day, 5:12:41 batch_cost: 1.0065 data_cost: 0.0118 ips: 39.7432 images/s
[07/28 10:25:07] ppdet.engine INFO: Epoch: [170] [640/732] learning_rate: 0.071428 loss_vfl: 1.078284 loss_bbox: 0.547421 loss_dfl: 0.457298 loss: 2.079118 eta: 1 day, 5:12:18 batch_cost: 1.1000 data_cost: 0.0090 ips: 36.3624 images/s
[07/28 10:25:32] ppdet.engine INFO: Epoch: [170] [660/732] learning_rate: 0.071401 loss_vfl: 1.061265 loss_bbox: 0.551146 loss_dfl: 0.459928 loss: 2.079321 eta: 1 day, 5:11:55 batch_cost: 1.0373 data_cost: 0.0089 ips: 38.5627 images/s
[07/28 10:25:58] ppdet.engine INFO: Epoch: [170] [680/732] learning_rate: 0.071374 loss_vfl: 1.070571 loss_bbox: 0.561890 loss_dfl: 0.470159 loss: 2.104692 eta: 1 day, 5:11:32 batch_cost: 1.0505 data_cost: 0.0051 ips: 38.0769 images/s
[07/28 10:26:27] ppdet.engine INFO: Epoch: [170] [700/732] learning_rate: 0.071347 loss_vfl: 1.101505 loss_bbox: 0.568156 loss_dfl: 0.468878 loss: 2.127143 eta: 1 day, 5:11:10 batch_cost: 1.1311 data_cost: 0.0110 ips: 35.3624 images/s
[07/28 10:26:54] ppdet.engine INFO: Epoch: [170] [720/732] learning_rate: 0.071320 loss_vfl: 1.100844 loss_bbox: 0.564603 loss_dfl: 0.481973 loss: 2.138349 eta: 1 day, 5:10:46 batch_cost: 1.0438 data_cost: 0.0027 ips: 38.3206 images/s
[07/28 10:27:13] ppdet.engine INFO: Epoch: [171] [  0/732] learning_rate: 0.071304 loss_vfl: 1.096071 loss_bbox: 0.562764 loss_dfl: 0.467539 loss: 2.119700 eta: 1 day, 5:10:35 batch_cost: 1.2447 data_cost: 0.2969 ips: 32.1370 images/s
[07/28 10:27:43] ppdet.engine INFO: Epoch: [171] [ 20/732] learning_rate: 0.071277 loss_vfl: 1.092770 loss_bbox: 0.546497 loss_dfl: 0.458920 loss: 2.105306 eta: 1 day, 5:10:15 batch_cost: 1.2322 data_cost: 0.0094 ips: 32.4612 images/s
[07/28 10:28:10] ppdet.engine INFO: Epoch: [171] [ 40/732] learning_rate: 0.071250 loss_vfl: 1.095954 loss_bbox: 0.570600 loss_dfl: 0.472127 loss: 2.144239 eta: 1 day, 5:09:54 batch_cost: 1.1712 data_cost: 0.0092 ips: 34.1529 images/s
[07/28 10:28:38] ppdet.engine INFO: Epoch: [171] [ 60/732] learning_rate: 0.071223 loss_vfl: 1.138222 loss_bbox: 0.566201 loss_dfl: 0.491971 loss: 2.171798 eta: 1 day, 5:09:32 batch_cost: 1.1576 data_cost: 0.0068 ips: 34.5535 images/s
[07/28 10:29:04] ppdet.engine INFO: Epoch: [171] [ 80/732] learning_rate: 0.071196 loss_vfl: 1.079068 loss_bbox: 0.569017 loss_dfl: 0.470979 loss: 2.109169 eta: 1 day, 5:09:09 batch_cost: 1.0750 data_cost: 0.0098 ips: 37.2086 images/s
[07/28 10:29:29] ppdet.engine INFO: Epoch: [171] [100/732] learning_rate: 0.071169 loss_vfl: 1.091796 loss_bbox: 0.553818 loss_dfl: 0.464118 loss: 2.111024 eta: 1 day, 5:08:44 batch_cost: 0.9518 data_cost: 0.0086 ips: 42.0236 images/s
[07/28 10:29:58] ppdet.engine INFO: Epoch: [171] [120/732] learning_rate: 0.071142 loss_vfl: 1.058945 loss_bbox: 0.550103 loss_dfl: 0.459131 loss: 2.056812 eta: 1 day, 5:08:22 batch_cost: 1.1270 data_cost: 0.0105 ips: 35.4913 images/s
[07/28 10:30:23] ppdet.engine INFO: Epoch: [171] [140/732] learning_rate: 0.071115 loss_vfl: 1.119761 loss_bbox: 0.574884 loss_dfl: 0.474632 loss: 2.137845 eta: 1 day, 5:07:57 batch_cost: 0.9215 data_cost: 0.0146 ips: 43.4071 images/s
[07/28 10:30:49] ppdet.engine INFO: Epoch: [171] [160/732] learning_rate: 0.071088 loss_vfl: 1.101867 loss_bbox: 0.576731 loss_dfl: 0.477691 loss: 2.157383 eta: 1 day, 5:07:34 batch_cost: 1.0107 data_cost: 0.0043 ips: 39.5748 images/s
[07/28 10:31:16] ppdet.engine INFO: Epoch: [171] [180/732] learning_rate: 0.071061 loss_vfl: 1.081143 loss_bbox: 0.545404 loss_dfl: 0.453843 loss: 2.074172 eta: 1 day, 5:07:11 batch_cost: 1.1040 data_cost: 0.0092 ips: 36.2332 images/s
[07/28 10:31:40] ppdet.engine INFO: Epoch: [171] [200/732] learning_rate: 0.071034 loss_vfl: 1.076875 loss_bbox: 0.582227 loss_dfl: 0.469542 loss: 2.131786 eta: 1 day, 5:06:46 batch_cost: 0.9502 data_cost: 0.0069 ips: 42.0949 images/s
[07/28 10:32:05] ppdet.engine INFO: Epoch: [171] [220/732] learning_rate: 0.071007 loss_vfl: 1.086334 loss_bbox: 0.546882 loss_dfl: 0.461420 loss: 2.113018 eta: 1 day, 5:06:22 batch_cost: 0.9405 data_cost: 0.0091 ips: 42.5321 images/s
[07/28 10:32:33] ppdet.engine INFO: Epoch: [171] [240/732] learning_rate: 0.070980 loss_vfl: 1.081502 loss_bbox: 0.556165 loss_dfl: 0.461458 loss: 2.104401 eta: 1 day, 5:05:59 batch_cost: 1.0787 data_cost: 0.0157 ips: 37.0811 images/s
[07/28 10:32:59] ppdet.engine INFO: Epoch: [171] [260/732] learning_rate: 0.070953 loss_vfl: 1.127086 loss_bbox: 0.575655 loss_dfl: 0.491714 loss: 2.206445 eta: 1 day, 5:05:36 batch_cost: 1.0691 data_cost: 0.0086 ips: 37.4141 images/s
[07/28 10:33:23] ppdet.engine INFO: Epoch: [171] [280/732] learning_rate: 0.070926 loss_vfl: 1.134782 loss_bbox: 0.578142 loss_dfl: 0.489699 loss: 2.188825 eta: 1 day, 5:05:12 batch_cost: 0.9997 data_cost: 0.0007 ips: 40.0101 images/s
[07/28 10:33:51] ppdet.engine INFO: Epoch: [171] [300/732] learning_rate: 0.070899 loss_vfl: 1.105620 loss_bbox: 0.562688 loss_dfl: 0.477465 loss: 2.155153 eta: 1 day, 5:04:50 batch_cost: 1.1483 data_cost: 0.0049 ips: 34.8341 images/s
[07/28 10:34:18] ppdet.engine INFO: Epoch: [171] [320/732] learning_rate: 0.070872 loss_vfl: 1.115494 loss_bbox: 0.561042 loss_dfl: 0.479874 loss: 2.149215 eta: 1 day, 5:04:28 batch_cost: 1.0818 data_cost: 0.0082 ips: 36.9752 images/s
[07/28 10:34:42] ppdet.engine INFO: Epoch: [171] [340/732] learning_rate: 0.070845 loss_vfl: 1.064471 loss_bbox: 0.537602 loss_dfl: 0.454862 loss: 2.053227 eta: 1 day, 5:04:03 batch_cost: 0.9593 data_cost: 0.0056 ips: 41.6975 images/s
[07/28 10:35:07] ppdet.engine INFO: Epoch: [171] [360/732] learning_rate: 0.070818 loss_vfl: 1.047329 loss_bbox: 0.546200 loss_dfl: 0.453939 loss: 2.056248 eta: 1 day, 5:03:39 batch_cost: 0.9928 data_cost: 0.0074 ips: 40.2915 images/s
[07/28 10:35:35] ppdet.engine INFO: Epoch: [171] [380/732] learning_rate: 0.070791 loss_vfl: 1.106886 loss_bbox: 0.580841 loss_dfl: 0.485865 loss: 2.182982 eta: 1 day, 5:03:17 batch_cost: 1.0906 data_cost: 0.0098 ips: 36.6768 images/s
[07/28 10:36:01] ppdet.engine INFO: Epoch: [171] [400/732] learning_rate: 0.070764 loss_vfl: 1.050002 loss_bbox: 0.518070 loss_dfl: 0.444730 loss: 2.002782 eta: 1 day, 5:02:53 batch_cost: 1.0436 data_cost: 0.0056 ips: 38.3293 images/s
[07/28 10:36:27] ppdet.engine INFO: Epoch: [171] [420/732] learning_rate: 0.070737 loss_vfl: 1.109304 loss_bbox: 0.585640 loss_dfl: 0.479635 loss: 2.163434 eta: 1 day, 5:02:30 batch_cost: 1.0554 data_cost: 0.0090 ips: 37.9007 images/s
[07/28 10:36:53] ppdet.engine INFO: Epoch: [171] [440/732] learning_rate: 0.070711 loss_vfl: 1.090476 loss_bbox: 0.569187 loss_dfl: 0.471780 loss: 2.122608 eta: 1 day, 5:02:07 batch_cost: 1.0155 data_cost: 0.0085 ips: 39.3890 images/s
[07/28 10:37:18] ppdet.engine INFO: Epoch: [171] [460/732] learning_rate: 0.070684 loss_vfl: 1.050860 loss_bbox: 0.567293 loss_dfl: 0.463514 loss: 2.084124 eta: 1 day, 5:01:43 batch_cost: 1.0279 data_cost: 0.0128 ips: 38.9156 images/s
[07/28 10:37:45] ppdet.engine INFO: Epoch: [171] [480/732] learning_rate: 0.070657 loss_vfl: 1.141135 loss_bbox: 0.566146 loss_dfl: 0.487085 loss: 2.186203 eta: 1 day, 5:01:20 batch_cost: 1.0612 data_cost: 0.0056 ips: 37.6930 images/s
[07/28 10:38:11] ppdet.engine INFO: Epoch: [171] [500/732] learning_rate: 0.070630 loss_vfl: 1.066886 loss_bbox: 0.543948 loss_dfl: 0.451914 loss: 2.071201 eta: 1 day, 5:00:57 batch_cost: 1.0573 data_cost: 0.0040 ips: 37.8305 images/s
[07/28 10:38:34] ppdet.engine INFO: Epoch: [171] [520/732] learning_rate: 0.070603 loss_vfl: 1.098185 loss_bbox: 0.566310 loss_dfl: 0.469142 loss: 2.162486 eta: 1 day, 5:00:31 batch_cost: 0.8788 data_cost: 0.0046 ips: 45.5168 images/s
[07/28 10:39:01] ppdet.engine INFO: Epoch: [171] [540/732] learning_rate: 0.070576 loss_vfl: 1.080086 loss_bbox: 0.568978 loss_dfl: 0.466922 loss: 2.117163 eta: 1 day, 5:00:08 batch_cost: 1.0787 data_cost: 0.0068 ips: 37.0809 images/s
[07/28 10:39:27] ppdet.engine INFO: Epoch: [171] [560/732] learning_rate: 0.070549 loss_vfl: 1.106614 loss_bbox: 0.575225 loss_dfl: 0.478909 loss: 2.160371 eta: 1 day, 4:59:45 batch_cost: 1.0503 data_cost: 0.0121 ips: 38.0856 images/s
[07/28 10:39:55] ppdet.engine INFO: Epoch: [171] [580/732] learning_rate: 0.070522 loss_vfl: 1.075063 loss_bbox: 0.548252 loss_dfl: 0.468430 loss: 2.134048 eta: 1 day, 4:59:23 batch_cost: 1.0871 data_cost: 0.0180 ips: 36.7955 images/s
[07/28 10:40:22] ppdet.engine INFO: Epoch: [171] [600/732] learning_rate: 0.070495 loss_vfl: 1.082629 loss_bbox: 0.566069 loss_dfl: 0.469443 loss: 2.127815 eta: 1 day, 4:59:00 batch_cost: 1.1155 data_cost: 0.0058 ips: 35.8575 images/s
[07/28 10:40:49] ppdet.engine INFO: Epoch: [171] [620/732] learning_rate: 0.070468 loss_vfl: 1.097803 loss_bbox: 0.560354 loss_dfl: 0.457802 loss: 2.099683 eta: 1 day, 4:58:37 batch_cost: 1.0539 data_cost: 0.0040 ips: 37.9544 images/s
[07/28 10:41:14] ppdet.engine INFO: Epoch: [171] [640/732] learning_rate: 0.070441 loss_vfl: 1.092223 loss_bbox: 0.555607 loss_dfl: 0.473528 loss: 2.125105 eta: 1 day, 4:58:14 batch_cost: 1.0663 data_cost: 0.0076 ips: 37.5120 images/s
[07/28 10:41:41] ppdet.engine INFO: Epoch: [171] [660/732] learning_rate: 0.070414 loss_vfl: 1.103282 loss_bbox: 0.569403 loss_dfl: 0.470671 loss: 2.120380 eta: 1 day, 4:57:52 batch_cost: 1.0805 data_cost: 0.0007 ips: 37.0208 images/s
[07/28 10:42:07] ppdet.engine INFO: Epoch: [171] [680/732] learning_rate: 0.070388 loss_vfl: 1.075223 loss_bbox: 0.540497 loss_dfl: 0.451446 loss: 2.068965 eta: 1 day, 4:57:28 batch_cost: 0.9791 data_cost: 0.0066 ips: 40.8520 images/s
[07/28 10:42:34] ppdet.engine INFO: Epoch: [171] [700/732] learning_rate: 0.070361 loss_vfl: 1.067985 loss_bbox: 0.570282 loss_dfl: 0.474496 loss: 2.129826 eta: 1 day, 4:57:05 batch_cost: 1.1056 data_cost: 0.0090 ips: 36.1810 images/s
[07/28 10:43:00] ppdet.engine INFO: Epoch: [171] [720/732] learning_rate: 0.070334 loss_vfl: 1.080300 loss_bbox: 0.552705 loss_dfl: 0.452788 loss: 2.054378 eta: 1 day, 4:56:42 batch_cost: 1.0180 data_cost: 0.0110 ips: 39.2909 images/s
[07/28 10:43:19] ppdet.engine INFO: Epoch: [172] [  0/732] learning_rate: 0.070318 loss_vfl: 1.089128 loss_bbox: 0.546781 loss_dfl: 0.455383 loss: 2.052740 eta: 1 day, 4:56:31 batch_cost: 1.2095 data_cost: 0.4253 ips: 33.0720 images/s
[07/28 10:43:47] ppdet.engine INFO: Epoch: [172] [ 20/732] learning_rate: 0.070291 loss_vfl: 1.121637 loss_bbox: 0.570452 loss_dfl: 0.481685 loss: 2.173671 eta: 1 day, 4:56:09 batch_cost: 1.1551 data_cost: 0.0549 ips: 34.6277 images/s
[07/28 10:44:14] ppdet.engine INFO: Epoch: [172] [ 40/732] learning_rate: 0.070264 loss_vfl: 1.077775 loss_bbox: 0.558878 loss_dfl: 0.455074 loss: 2.089625 eta: 1 day, 4:55:47 batch_cost: 1.1007 data_cost: 0.0169 ips: 36.3396 images/s
[07/28 10:44:41] ppdet.engine INFO: Epoch: [172] [ 60/732] learning_rate: 0.070237 loss_vfl: 1.100683 loss_bbox: 0.577712 loss_dfl: 0.485573 loss: 2.166374 eta: 1 day, 4:55:24 batch_cost: 1.1008 data_cost: 0.0043 ips: 36.3356 images/s
[07/28 10:45:08] ppdet.engine INFO: Epoch: [172] [ 80/732] learning_rate: 0.070210 loss_vfl: 1.090738 loss_bbox: 0.581015 loss_dfl: 0.488883 loss: 2.182766 eta: 1 day, 4:55:02 batch_cost: 1.0995 data_cost: 0.0047 ips: 36.3791 images/s
[07/28 10:45:35] ppdet.engine INFO: Epoch: [172] [100/732] learning_rate: 0.070183 loss_vfl: 1.071747 loss_bbox: 0.556861 loss_dfl: 0.466051 loss: 2.086010 eta: 1 day, 4:54:39 batch_cost: 1.0531 data_cost: 0.0126 ips: 37.9833 images/s
[07/28 10:46:01] ppdet.engine INFO: Epoch: [172] [120/732] learning_rate: 0.070156 loss_vfl: 1.146958 loss_bbox: 0.582235 loss_dfl: 0.486931 loss: 2.218820 eta: 1 day, 4:54:15 batch_cost: 1.0120 data_cost: 0.0053 ips: 39.5246 images/s
[07/28 10:46:28] ppdet.engine INFO: Epoch: [172] [140/732] learning_rate: 0.070130 loss_vfl: 1.120014 loss_bbox: 0.576126 loss_dfl: 0.477506 loss: 2.200484 eta: 1 day, 4:53:53 batch_cost: 1.1077 data_cost: 0.0169 ips: 36.1125 images/s
[07/28 10:46:56] ppdet.engine INFO: Epoch: [172] [160/732] learning_rate: 0.070103 loss_vfl: 1.115313 loss_bbox: 0.568692 loss_dfl: 0.483393 loss: 2.170296 eta: 1 day, 4:53:31 batch_cost: 1.1291 data_cost: 0.0043 ips: 35.4267 images/s
[07/28 10:47:20] ppdet.engine INFO: Epoch: [172] [180/732] learning_rate: 0.070076 loss_vfl: 1.081711 loss_bbox: 0.553976 loss_dfl: 0.471500 loss: 2.130960 eta: 1 day, 4:53:06 batch_cost: 0.9729 data_cost: 0.0027 ips: 41.1129 images/s
[07/28 10:47:49] ppdet.engine INFO: Epoch: [172] [200/732] learning_rate: 0.070049 loss_vfl: 1.048231 loss_bbox: 0.560239 loss_dfl: 0.464359 loss: 2.059499 eta: 1 day, 4:52:45 batch_cost: 1.1511 data_cost: 0.0816 ips: 34.7508 images/s
[07/28 10:48:13] ppdet.engine INFO: Epoch: [172] [220/732] learning_rate: 0.070022 loss_vfl: 1.098910 loss_bbox: 0.581385 loss_dfl: 0.481730 loss: 2.175104 eta: 1 day, 4:52:20 batch_cost: 0.9659 data_cost: 0.0085 ips: 41.4142 images/s
[07/28 10:48:42] ppdet.engine INFO: Epoch: [172] [240/732] learning_rate: 0.069995 loss_vfl: 1.081466 loss_bbox: 0.549802 loss_dfl: 0.455958 loss: 2.090465 eta: 1 day, 4:51:59 batch_cost: 1.2071 data_cost: 0.0803 ips: 33.1377 images/s
[07/28 10:49:09] ppdet.engine INFO: Epoch: [172] [260/732] learning_rate: 0.069969 loss_vfl: 1.069278 loss_bbox: 0.553187 loss_dfl: 0.463389 loss: 2.086167 eta: 1 day, 4:51:37 batch_cost: 1.1100 data_cost: 0.1213 ips: 36.0348 images/s
[07/28 10:49:33] ppdet.engine INFO: Epoch: [172] [280/732] learning_rate: 0.069942 loss_vfl: 1.048013 loss_bbox: 0.544143 loss_dfl: 0.453405 loss: 2.044096 eta: 1 day, 4:51:15 batch_cost: 1.0868 data_cost: 0.0042 ips: 36.8041 images/s
[07/28 10:49:59] ppdet.engine INFO: Epoch: [172] [300/732] learning_rate: 0.069915 loss_vfl: 1.076642 loss_bbox: 0.548097 loss_dfl: 0.453903 loss: 2.086036 eta: 1 day, 4:50:50 batch_cost: 0.9818 data_cost: 0.0250 ips: 40.7418 images/s
[07/28 10:50:27] ppdet.engine INFO: Epoch: [172] [320/732] learning_rate: 0.069888 loss_vfl: 1.081995 loss_bbox: 0.567263 loss_dfl: 0.469348 loss: 2.119065 eta: 1 day, 4:50:30 batch_cost: 1.2192 data_cost: 0.0059 ips: 32.8090 images/s
[07/28 10:50:52] ppdet.engine INFO: Epoch: [172] [340/732] learning_rate: 0.069861 loss_vfl: 1.094568 loss_bbox: 0.573126 loss_dfl: 0.481272 loss: 2.132646 eta: 1 day, 4:50:07 batch_cost: 1.0449 data_cost: 0.0059 ips: 38.2816 images/s
[07/28 10:51:19] ppdet.engine INFO: Epoch: [172] [360/732] learning_rate: 0.069834 loss_vfl: 1.092083 loss_bbox: 0.552700 loss_dfl: 0.465090 loss: 2.105087 eta: 1 day, 4:49:44 batch_cost: 1.0993 data_cost: 0.0040 ips: 36.3873 images/s
[07/28 10:51:45] ppdet.engine INFO: Epoch: [172] [380/732] learning_rate: 0.069808 loss_vfl: 1.069119 loss_bbox: 0.558598 loss_dfl: 0.464745 loss: 2.094140 eta: 1 day, 4:49:21 batch_cost: 1.0548 data_cost: 0.0111 ips: 37.9220 images/s
[07/28 10:52:11] ppdet.engine INFO: Epoch: [172] [400/732] learning_rate: 0.069781 loss_vfl: 1.051908 loss_bbox: 0.530400 loss_dfl: 0.447294 loss: 2.024353 eta: 1 day, 4:48:59 batch_cost: 1.1293 data_cost: 0.0118 ips: 35.4198 images/s
[07/28 10:52:38] ppdet.engine INFO: Epoch: [172] [420/732] learning_rate: 0.069754 loss_vfl: 1.119970 loss_bbox: 0.569137 loss_dfl: 0.478561 loss: 2.178767 eta: 1 day, 4:48:37 batch_cost: 1.1420 data_cost: 0.0083 ips: 35.0270 images/s
[07/28 10:53:05] ppdet.engine INFO: Epoch: [172] [440/732] learning_rate: 0.069727 loss_vfl: 1.134200 loss_bbox: 0.564622 loss_dfl: 0.480226 loss: 2.172401 eta: 1 day, 4:48:15 batch_cost: 1.1192 data_cost: 0.0075 ips: 35.7411 images/s
[07/28 10:53:31] ppdet.engine INFO: Epoch: [172] [460/732] learning_rate: 0.069700 loss_vfl: 1.030110 loss_bbox: 0.534516 loss_dfl: 0.449273 loss: 1.997814 eta: 1 day, 4:47:52 batch_cost: 1.0446 data_cost: 0.0090 ips: 38.2916 images/s
[07/28 10:54:00] ppdet.engine INFO: Epoch: [172] [480/732] learning_rate: 0.069674 loss_vfl: 1.110157 loss_bbox: 0.551964 loss_dfl: 0.458592 loss: 2.135148 eta: 1 day, 4:47:31 batch_cost: 1.1912 data_cost: 0.0108 ips: 33.5805 images/s
[07/28 10:54:26] ppdet.engine INFO: Epoch: [172] [500/732] learning_rate: 0.069647 loss_vfl: 1.110500 loss_bbox: 0.558694 loss_dfl: 0.468480 loss: 2.105089 eta: 1 day, 4:47:08 batch_cost: 1.0542 data_cost: 0.0109 ips: 37.9433 images/s
[07/28 10:54:52] ppdet.engine INFO: Epoch: [172] [520/732] learning_rate: 0.069620 loss_vfl: 1.105403 loss_bbox: 0.557644 loss_dfl: 0.466831 loss: 2.117471 eta: 1 day, 4:46:46 batch_cost: 1.1751 data_cost: 0.0058 ips: 34.0389 images/s
[07/28 10:55:18] ppdet.engine INFO: Epoch: [172] [540/732] learning_rate: 0.069593 loss_vfl: 1.139830 loss_bbox: 0.565164 loss_dfl: 0.485092 loss: 2.199662 eta: 1 day, 4:46:23 batch_cost: 1.0219 data_cost: 0.0050 ips: 39.1411 images/s
[07/28 10:55:45] ppdet.engine INFO: Epoch: [172] [560/732] learning_rate: 0.069567 loss_vfl: 1.085027 loss_bbox: 0.566607 loss_dfl: 0.469243 loss: 2.118913 eta: 1 day, 4:46:01 batch_cost: 1.1664 data_cost: 0.0065 ips: 34.2922 images/s
[07/28 10:56:12] ppdet.engine INFO: Epoch: [172] [580/732] learning_rate: 0.069540 loss_vfl: 1.089918 loss_bbox: 0.554138 loss_dfl: 0.459213 loss: 2.095017 eta: 1 day, 4:45:40 batch_cost: 1.1578 data_cost: 0.0169 ips: 34.5469 images/s
[07/28 10:56:40] ppdet.engine INFO: Epoch: [172] [600/732] learning_rate: 0.069513 loss_vfl: 1.128288 loss_bbox: 0.584118 loss_dfl: 0.495121 loss: 2.203008 eta: 1 day, 4:45:18 batch_cost: 1.1255 data_cost: 0.0039 ips: 35.5405 images/s
[07/28 10:57:07] ppdet.engine INFO: Epoch: [172] [620/732] learning_rate: 0.069486 loss_vfl: 1.105328 loss_bbox: 0.559227 loss_dfl: 0.475615 loss: 2.142429 eta: 1 day, 4:44:56 batch_cost: 1.1213 data_cost: 0.0140 ips: 35.6733 images/s
[07/28 10:57:33] ppdet.engine INFO: Epoch: [172] [640/732] learning_rate: 0.069459 loss_vfl: 1.102120 loss_bbox: 0.555857 loss_dfl: 0.466538 loss: 2.133454 eta: 1 day, 4:44:33 batch_cost: 1.0611 data_cost: 0.0085 ips: 37.6975 images/s
[07/28 10:58:00] ppdet.engine INFO: Epoch: [172] [660/732] learning_rate: 0.069433 loss_vfl: 1.121418 loss_bbox: 0.575178 loss_dfl: 0.484251 loss: 2.178766 eta: 1 day, 4:44:10 batch_cost: 1.0675 data_cost: 0.0120 ips: 37.4690 images/s
[07/28 10:58:27] ppdet.engine INFO: Epoch: [172] [680/732] learning_rate: 0.069406 loss_vfl: 1.154009 loss_bbox: 0.566590 loss_dfl: 0.490091 loss: 2.212626 eta: 1 day, 4:43:47 batch_cost: 1.0727 data_cost: 0.0028 ips: 37.2904 images/s
[07/28 10:58:54] ppdet.engine INFO: Epoch: [172] [700/732] learning_rate: 0.069379 loss_vfl: 1.102963 loss_bbox: 0.554739 loss_dfl: 0.475101 loss: 2.135866 eta: 1 day, 4:43:25 batch_cost: 1.1545 data_cost: 0.0711 ips: 34.6464 images/s
[07/28 10:59:21] ppdet.engine INFO: Epoch: [172] [720/732] learning_rate: 0.069352 loss_vfl: 1.084340 loss_bbox: 0.561079 loss_dfl: 0.462383 loss: 2.123711 eta: 1 day, 4:43:02 batch_cost: 1.0636 data_cost: 0.0069 ips: 37.6071 images/s
[07/28 10:59:42] ppdet.engine INFO: Epoch: [173] [  0/732] learning_rate: 0.069336 loss_vfl: 1.091987 loss_bbox: 0.546880 loss_dfl: 0.461694 loss: 2.103540 eta: 1 day, 4:42:52 batch_cost: 1.3079 data_cost: 0.5165 ips: 30.5825 images/s
[07/28 11:00:11] ppdet.engine INFO: Epoch: [173] [ 20/732] learning_rate: 0.069310 loss_vfl: 1.141315 loss_bbox: 0.586003 loss_dfl: 0.488540 loss: 2.204653 eta: 1 day, 4:42:30 batch_cost: 1.1352 data_cost: 0.0488 ips: 35.2346 images/s
[07/28 11:00:38] ppdet.engine INFO: Epoch: [173] [ 40/732] learning_rate: 0.069283 loss_vfl: 1.091912 loss_bbox: 0.571889 loss_dfl: 0.470567 loss: 2.132430 eta: 1 day, 4:42:09 batch_cost: 1.1616 data_cost: 0.0069 ips: 34.4352 images/s
[07/28 11:01:04] ppdet.engine INFO: Epoch: [173] [ 60/732] learning_rate: 0.069256 loss_vfl: 1.080144 loss_bbox: 0.560029 loss_dfl: 0.461987 loss: 2.127783 eta: 1 day, 4:41:46 batch_cost: 1.0500 data_cost: 0.0058 ips: 38.0968 images/s
[07/28 11:01:31] ppdet.engine INFO: Epoch: [173] [ 80/732] learning_rate: 0.069230 loss_vfl: 1.083291 loss_bbox: 0.558792 loss_dfl: 0.461297 loss: 2.109053 eta: 1 day, 4:41:23 batch_cost: 1.0793 data_cost: 0.0055 ips: 37.0599 images/s
[07/28 11:01:57] ppdet.engine INFO: Epoch: [173] [100/732] learning_rate: 0.069203 loss_vfl: 1.100472 loss_bbox: 0.561906 loss_dfl: 0.468669 loss: 2.132870 eta: 1 day, 4:41:00 batch_cost: 1.0286 data_cost: 0.0079 ips: 38.8860 images/s
[07/28 11:02:23] ppdet.engine INFO: Epoch: [173] [120/732] learning_rate: 0.069176 loss_vfl: 1.083773 loss_bbox: 0.569833 loss_dfl: 0.474051 loss: 2.106480 eta: 1 day, 4:40:37 batch_cost: 1.0688 data_cost: 0.0062 ips: 37.4253 images/s
[07/28 11:02:52] ppdet.engine INFO: Epoch: [173] [140/732] learning_rate: 0.069149 loss_vfl: 1.086479 loss_bbox: 0.541150 loss_dfl: 0.455521 loss: 2.078500 eta: 1 day, 4:40:15 batch_cost: 1.1373 data_cost: 0.0080 ips: 35.1712 images/s
[07/28 11:03:17] ppdet.engine INFO: Epoch: [173] [160/732] learning_rate: 0.069123 loss_vfl: 1.100467 loss_bbox: 0.544216 loss_dfl: 0.461119 loss: 2.093696 eta: 1 day, 4:39:51 batch_cost: 0.9908 data_cost: 0.0206 ips: 40.3699 images/s
[07/28 11:03:43] ppdet.engine INFO: Epoch: [173] [180/732] learning_rate: 0.069096 loss_vfl: 1.086180 loss_bbox: 0.557537 loss_dfl: 0.470328 loss: 2.102150 eta: 1 day, 4:39:27 batch_cost: 1.0247 data_cost: 0.0077 ips: 39.0353 images/s
[07/28 11:04:10] ppdet.engine INFO: Epoch: [173] [200/732] learning_rate: 0.069069 loss_vfl: 1.082077 loss_bbox: 0.565737 loss_dfl: 0.461973 loss: 2.107297 eta: 1 day, 4:39:04 batch_cost: 1.0477 data_cost: 0.0054 ips: 38.1776 images/s
[07/28 11:04:37] ppdet.engine INFO: Epoch: [173] [220/732] learning_rate: 0.069043 loss_vfl: 1.086897 loss_bbox: 0.555868 loss_dfl: 0.466230 loss: 2.095989 eta: 1 day, 4:38:42 batch_cost: 1.1105 data_cost: 0.0024 ips: 36.0212 images/s
[07/28 11:05:03] ppdet.engine INFO: Epoch: [173] [240/732] learning_rate: 0.069016 loss_vfl: 1.112938 loss_bbox: 0.579566 loss_dfl: 0.482364 loss: 2.165884 eta: 1 day, 4:38:19 batch_cost: 1.0889 data_cost: 0.0055 ips: 36.7355 images/s
[07/28 11:05:28] ppdet.engine INFO: Epoch: [173] [260/732] learning_rate: 0.068989 loss_vfl: 1.099183 loss_bbox: 0.562409 loss_dfl: 0.467031 loss: 2.118426 eta: 1 day, 4:37:56 batch_cost: 1.0594 data_cost: 0.0065 ips: 37.7585 images/s
[07/28 11:05:55] ppdet.engine INFO: Epoch: [173] [280/732] learning_rate: 0.068963 loss_vfl: 1.075683 loss_bbox: 0.540107 loss_dfl: 0.453292 loss: 2.070567 eta: 1 day, 4:37:33 batch_cost: 1.0359 data_cost: 0.0043 ips: 38.6156 images/s
[07/28 11:06:21] ppdet.engine INFO: Epoch: [173] [300/732] learning_rate: 0.068936 loss_vfl: 1.067974 loss_bbox: 0.546223 loss_dfl: 0.458059 loss: 2.071983 eta: 1 day, 4:37:10 batch_cost: 1.0570 data_cost: 0.0080 ips: 37.8433 images/s
[07/28 11:06:47] ppdet.engine INFO: Epoch: [173] [320/732] learning_rate: 0.068909 loss_vfl: 1.059823 loss_bbox: 0.543604 loss_dfl: 0.457116 loss: 2.082388 eta: 1 day, 4:36:46 batch_cost: 1.0169 data_cost: 0.0082 ips: 39.3367 images/s
[07/28 11:07:13] ppdet.engine INFO: Epoch: [173] [340/732] learning_rate: 0.068882 loss_vfl: 1.120950 loss_bbox: 0.577037 loss_dfl: 0.476752 loss: 2.159644 eta: 1 day, 4:36:24 batch_cost: 1.0804 data_cost: 0.0064 ips: 37.0238 images/s
[07/28 11:07:40] ppdet.engine INFO: Epoch: [173] [360/732] learning_rate: 0.068856 loss_vfl: 1.097690 loss_bbox: 0.554118 loss_dfl: 0.464451 loss: 2.115587 eta: 1 day, 4:36:01 batch_cost: 1.0891 data_cost: 0.0054 ips: 36.7266 images/s
[07/28 11:08:04] ppdet.engine INFO: Epoch: [173] [380/732] learning_rate: 0.068829 loss_vfl: 1.094564 loss_bbox: 0.575089 loss_dfl: 0.474913 loss: 2.174287 eta: 1 day, 4:35:37 batch_cost: 0.9867 data_cost: 0.0044 ips: 40.5409 images/s
[07/28 11:08:30] ppdet.engine INFO: Epoch: [173] [400/732] learning_rate: 0.068802 loss_vfl: 1.068162 loss_bbox: 0.557853 loss_dfl: 0.468258 loss: 2.077569 eta: 1 day, 4:35:14 batch_cost: 1.0483 data_cost: 0.0158 ips: 38.1559 images/s
[07/28 11:08:57] ppdet.engine INFO: Epoch: [173] [420/732] learning_rate: 0.068776 loss_vfl: 1.101391 loss_bbox: 0.564746 loss_dfl: 0.476648 loss: 2.137883 eta: 1 day, 4:34:51 batch_cost: 1.1046 data_cost: 0.0094 ips: 36.2127 images/s
[07/28 11:09:24] ppdet.engine INFO: Epoch: [173] [440/732] learning_rate: 0.068749 loss_vfl: 1.112045 loss_bbox: 0.575186 loss_dfl: 0.481978 loss: 2.157841 eta: 1 day, 4:34:28 batch_cost: 1.0216 data_cost: 0.0080 ips: 39.1535 images/s
[07/28 11:09:49] ppdet.engine INFO: Epoch: [173] [460/732] learning_rate: 0.068723 loss_vfl: 1.070329 loss_bbox: 0.553799 loss_dfl: 0.468284 loss: 2.098055 eta: 1 day, 4:34:04 batch_cost: 0.9780 data_cost: 0.0110 ips: 40.9002 images/s
[07/28 11:10:16] ppdet.engine INFO: Epoch: [173] [480/732] learning_rate: 0.068696 loss_vfl: 1.078458 loss_bbox: 0.536544 loss_dfl: 0.455809 loss: 2.067778 eta: 1 day, 4:33:41 batch_cost: 1.0861 data_cost: 0.0088 ips: 36.8275 images/s
[07/28 11:10:43] ppdet.engine INFO: Epoch: [173] [500/732] learning_rate: 0.068669 loss_vfl: 1.089338 loss_bbox: 0.554912 loss_dfl: 0.470303 loss: 2.114701 eta: 1 day, 4:33:19 batch_cost: 1.1057 data_cost: 0.0029 ips: 36.1762 images/s
[07/28 11:11:09] ppdet.engine INFO: Epoch: [173] [520/732] learning_rate: 0.068643 loss_vfl: 1.108337 loss_bbox: 0.553797 loss_dfl: 0.474536 loss: 2.139667 eta: 1 day, 4:32:56 batch_cost: 1.0600 data_cost: 0.0058 ips: 37.7362 images/s
[07/28 11:11:36] ppdet.engine INFO: Epoch: [173] [540/732] learning_rate: 0.068616 loss_vfl: 1.077210 loss_bbox: 0.533568 loss_dfl: 0.454652 loss: 2.067947 eta: 1 day, 4:32:34 batch_cost: 1.1112 data_cost: 0.0146 ips: 35.9970 images/s
[07/28 11:12:02] ppdet.engine INFO: Epoch: [173] [560/732] learning_rate: 0.068589 loss_vfl: 1.086278 loss_bbox: 0.565029 loss_dfl: 0.474950 loss: 2.114737 eta: 1 day, 4:32:11 batch_cost: 1.1187 data_cost: 0.0076 ips: 35.7542 images/s
[07/28 11:12:27] ppdet.engine INFO: Epoch: [173] [580/732] learning_rate: 0.068563 loss_vfl: 1.103089 loss_bbox: 0.557322 loss_dfl: 0.469832 loss: 2.127198 eta: 1 day, 4:31:47 batch_cost: 0.9851 data_cost: 0.0076 ips: 40.6050 images/s
[07/28 11:12:53] ppdet.engine INFO: Epoch: [173] [600/732] learning_rate: 0.068536 loss_vfl: 1.099849 loss_bbox: 0.564897 loss_dfl: 0.478622 loss: 2.143773 eta: 1 day, 4:31:24 batch_cost: 1.0615 data_cost: 0.0044 ips: 37.6814 images/s
[07/28 11:13:20] ppdet.engine INFO: Epoch: [173] [620/732] learning_rate: 0.068510 loss_vfl: 1.103521 loss_bbox: 0.543547 loss_dfl: 0.466717 loss: 2.127700 eta: 1 day, 4:31:02 batch_cost: 1.0787 data_cost: 0.0058 ips: 37.0826 images/s
[07/28 11:13:46] ppdet.engine INFO: Epoch: [173] [640/732] learning_rate: 0.068483 loss_vfl: 1.086733 loss_bbox: 0.552072 loss_dfl: 0.466045 loss: 2.118746 eta: 1 day, 4:30:39 batch_cost: 1.0992 data_cost: 0.0073 ips: 36.3912 images/s
[07/28 11:14:11] ppdet.engine INFO: Epoch: [173] [660/732] learning_rate: 0.068456 loss_vfl: 1.066741 loss_bbox: 0.545875 loss_dfl: 0.461639 loss: 2.083744 eta: 1 day, 4:30:15 batch_cost: 0.9812 data_cost: 0.0125 ips: 40.7659 images/s
[07/28 11:14:37] ppdet.engine INFO: Epoch: [173] [680/732] learning_rate: 0.068430 loss_vfl: 1.103080 loss_bbox: 0.557578 loss_dfl: 0.470625 loss: 2.110520 eta: 1 day, 4:29:52 batch_cost: 1.0823 data_cost: 0.0077 ips: 36.9588 images/s
[07/28 11:15:04] ppdet.engine INFO: Epoch: [173] [700/732] learning_rate: 0.068403 loss_vfl: 1.065117 loss_bbox: 0.555376 loss_dfl: 0.457064 loss: 2.082651 eta: 1 day, 4:29:30 batch_cost: 1.1026 data_cost: 0.0023 ips: 36.2780 images/s
[07/28 11:15:30] ppdet.engine INFO: Epoch: [173] [720/732] learning_rate: 0.068376 loss_vfl: 1.047434 loss_bbox: 0.532208 loss_dfl: 0.456540 loss: 2.043134 eta: 1 day, 4:29:08 batch_cost: 1.1484 data_cost: 0.0073 ips: 34.8313 images/s
[07/28 11:15:50] ppdet.engine INFO: Epoch: [174] [  0/732] learning_rate: 0.068361 loss_vfl: 1.063329 loss_bbox: 0.550995 loss_dfl: 0.463922 loss: 2.084155 eta: 1 day, 4:28:57 batch_cost: 1.3150 data_cost: 0.2601 ips: 30.4175 images/s
[07/28 11:16:19] ppdet.engine INFO: Epoch: [174] [ 20/732] learning_rate: 0.068334 loss_vfl: 1.009851 loss_bbox: 0.529440 loss_dfl: 0.439103 loss: 1.992985 eta: 1 day, 4:28:37 batch_cost: 1.2132 data_cost: 0.0040 ips: 32.9693 images/s
[07/28 11:16:46] ppdet.engine INFO: Epoch: [174] [ 40/732] learning_rate: 0.068307 loss_vfl: 1.071376 loss_bbox: 0.548154 loss_dfl: 0.458596 loss: 2.074591 eta: 1 day, 4:28:14 batch_cost: 1.0729 data_cost: 0.0043 ips: 37.2818 images/s
[07/28 11:17:13] ppdet.engine INFO: Epoch: [174] [ 60/732] learning_rate: 0.068281 loss_vfl: 1.010853 loss_bbox: 0.539654 loss_dfl: 0.451858 loss: 2.003622 eta: 1 day, 4:27:52 batch_cost: 1.1448 data_cost: 0.0055 ips: 34.9418 images/s
[07/28 11:17:41] ppdet.engine INFO: Epoch: [174] [ 80/732] learning_rate: 0.068254 loss_vfl: 1.063265 loss_bbox: 0.546261 loss_dfl: 0.462317 loss: 2.062938 eta: 1 day, 4:27:31 batch_cost: 1.1657 data_cost: 0.0041 ips: 34.3153 images/s
[07/28 11:18:06] ppdet.engine INFO: Epoch: [174] [100/732] learning_rate: 0.068228 loss_vfl: 1.109954 loss_bbox: 0.569294 loss_dfl: 0.477324 loss: 2.150338 eta: 1 day, 4:27:07 batch_cost: 0.9958 data_cost: 0.0081 ips: 40.1685 images/s
[07/28 11:18:32] ppdet.engine INFO: Epoch: [174] [120/732] learning_rate: 0.068201 loss_vfl: 1.102688 loss_bbox: 0.574224 loss_dfl: 0.479071 loss: 2.165264 eta: 1 day, 4:26:44 batch_cost: 1.0529 data_cost: 0.0055 ips: 37.9910 images/s
[07/28 11:18:59] ppdet.engine INFO: Epoch: [174] [140/732] learning_rate: 0.068175 loss_vfl: 1.081921 loss_bbox: 0.552019 loss_dfl: 0.460580 loss: 2.096904 eta: 1 day, 4:26:21 batch_cost: 1.0938 data_cost: 0.0068 ips: 36.5702 images/s
[07/28 11:19:23] ppdet.engine INFO: Epoch: [174] [160/732] learning_rate: 0.068148 loss_vfl: 1.129074 loss_bbox: 0.560493 loss_dfl: 0.471114 loss: 2.170950 eta: 1 day, 4:25:57 batch_cost: 0.9750 data_cost: 0.0100 ips: 41.0264 images/s
[07/28 11:19:49] ppdet.engine INFO: Epoch: [174] [180/732] learning_rate: 0.068121 loss_vfl: 1.084691 loss_bbox: 0.566621 loss_dfl: 0.460933 loss: 2.085959 eta: 1 day, 4:25:33 batch_cost: 1.0141 data_cost: 0.0069 ips: 39.4447 images/s
[07/28 11:20:16] ppdet.engine INFO: Epoch: [174] [200/732] learning_rate: 0.068095 loss_vfl: 1.104709 loss_bbox: 0.556610 loss_dfl: 0.470189 loss: 2.133987 eta: 1 day, 4:25:11 batch_cost: 1.0806 data_cost: 0.0057 ips: 37.0156 images/s
[07/28 11:20:43] ppdet.engine INFO: Epoch: [174] [220/732] learning_rate: 0.068068 loss_vfl: 1.142513 loss_bbox: 0.576400 loss_dfl: 0.470462 loss: 2.186151 eta: 1 day, 4:24:47 batch_cost: 1.0032 data_cost: 0.0032 ips: 39.8721 images/s
[07/28 11:21:07] ppdet.engine INFO: Epoch: [174] [240/732] learning_rate: 0.068042 loss_vfl: 1.073955 loss_bbox: 0.558794 loss_dfl: 0.471462 loss: 2.112890 eta: 1 day, 4:24:23 batch_cost: 0.9990 data_cost: 0.0053 ips: 40.0404 images/s
[07/28 11:21:34] ppdet.engine INFO: Epoch: [174] [260/732] learning_rate: 0.068015 loss_vfl: 1.080396 loss_bbox: 0.542022 loss_dfl: 0.467889 loss: 2.100321 eta: 1 day, 4:24:00 batch_cost: 1.0490 data_cost: 0.0057 ips: 38.1314 images/s
[07/28 11:22:02] ppdet.engine INFO: Epoch: [174] [280/732] learning_rate: 0.067989 loss_vfl: 1.090703 loss_bbox: 0.556769 loss_dfl: 0.462091 loss: 2.108905 eta: 1 day, 4:23:39 batch_cost: 1.1963 data_cost: 0.0047 ips: 33.4356 images/s
[07/28 11:22:27] ppdet.engine INFO: Epoch: [174] [300/732] learning_rate: 0.067962 loss_vfl: 1.063446 loss_bbox: 0.528267 loss_dfl: 0.447837 loss: 2.043825 eta: 1 day, 4:23:16 batch_cost: 1.0707 data_cost: 0.0054 ips: 37.3572 images/s
[07/28 11:22:54] ppdet.engine INFO: Epoch: [174] [320/732] learning_rate: 0.067936 loss_vfl: 1.046704 loss_bbox: 0.551145 loss_dfl: 0.453104 loss: 2.046666 eta: 1 day, 4:22:53 batch_cost: 1.0724 data_cost: 0.0029 ips: 37.2987 images/s
[07/28 11:23:18] ppdet.engine INFO: Epoch: [174] [340/732] learning_rate: 0.067909 loss_vfl: 1.053659 loss_bbox: 0.525811 loss_dfl: 0.443039 loss: 2.019175 eta: 1 day, 4:22:29 batch_cost: 0.9767 data_cost: 0.0053 ips: 40.9542 images/s
[07/28 11:23:44] ppdet.engine INFO: Epoch: [174] [360/732] learning_rate: 0.067883 loss_vfl: 1.060768 loss_bbox: 0.559821 loss_dfl: 0.470855 loss: 2.096091 eta: 1 day, 4:22:06 batch_cost: 1.0793 data_cost: 0.0065 ips: 37.0624 images/s
[07/28 11:24:09] ppdet.engine INFO: Epoch: [174] [380/732] learning_rate: 0.067856 loss_vfl: 1.107797 loss_bbox: 0.555506 loss_dfl: 0.471278 loss: 2.123845 eta: 1 day, 4:21:43 batch_cost: 1.0344 data_cost: 0.0079 ips: 38.6703 images/s
[07/28 11:24:36] ppdet.engine INFO: Epoch: [174] [400/732] learning_rate: 0.067830 loss_vfl: 1.060259 loss_bbox: 0.553985 loss_dfl: 0.453538 loss: 2.061501 eta: 1 day, 4:21:21 batch_cost: 1.1579 data_cost: 0.0103 ips: 34.5454 images/s
[07/28 11:25:02] ppdet.engine INFO: Epoch: [174] [420/732] learning_rate: 0.067803 loss_vfl: 1.091478 loss_bbox: 0.572575 loss_dfl: 0.478953 loss: 2.128994 eta: 1 day, 4:20:58 batch_cost: 1.0463 data_cost: 0.0051 ips: 38.2309 images/s
[07/28 11:25:27] ppdet.engine INFO: Epoch: [174] [440/732] learning_rate: 0.067777 loss_vfl: 1.084106 loss_bbox: 0.556306 loss_dfl: 0.460748 loss: 2.101179 eta: 1 day, 4:20:35 batch_cost: 1.0370 data_cost: 0.0102 ips: 38.5742 images/s
[07/28 11:25:52] ppdet.engine INFO: Epoch: [174] [460/732] learning_rate: 0.067750 loss_vfl: 1.048304 loss_bbox: 0.535040 loss_dfl: 0.452167 loss: 2.019774 eta: 1 day, 4:20:10 batch_cost: 0.9546 data_cost: 0.0039 ips: 41.9010 images/s
[07/28 11:26:17] ppdet.engine INFO: Epoch: [174] [480/732] learning_rate: 0.067724 loss_vfl: 1.069137 loss_bbox: 0.549268 loss_dfl: 0.456397 loss: 2.086689 eta: 1 day, 4:19:47 batch_cost: 0.9993 data_cost: 0.0114 ips: 40.0286 images/s
[07/28 11:26:45] ppdet.engine INFO: Epoch: [174] [500/732] learning_rate: 0.067697 loss_vfl: 1.081672 loss_bbox: 0.558753 loss_dfl: 0.472593 loss: 2.123037 eta: 1 day, 4:19:24 batch_cost: 1.1184 data_cost: 0.0058 ips: 35.7647 images/s
[07/28 11:27:11] ppdet.engine INFO: Epoch: [174] [520/732] learning_rate: 0.067671 loss_vfl: 1.076122 loss_bbox: 0.551509 loss_dfl: 0.455563 loss: 2.093570 eta: 1 day, 4:19:00 batch_cost: 0.9728 data_cost: 0.0104 ips: 41.1196 images/s
[07/28 11:27:38] ppdet.engine INFO: Epoch: [174] [540/732] learning_rate: 0.067644 loss_vfl: 1.110121 loss_bbox: 0.558841 loss_dfl: 0.463394 loss: 2.118443 eta: 1 day, 4:18:39 batch_cost: 1.1532 data_cost: 0.0079 ips: 34.6870 images/s
[07/28 11:28:04] ppdet.engine INFO: Epoch: [174] [560/732] learning_rate: 0.067618 loss_vfl: 1.123314 loss_bbox: 0.573949 loss_dfl: 0.481755 loss: 2.172785 eta: 1 day, 4:18:15 batch_cost: 1.0264 data_cost: 0.0045 ips: 38.9698 images/s
[07/28 11:28:32] ppdet.engine INFO: Epoch: [174] [580/732] learning_rate: 0.067591 loss_vfl: 1.072442 loss_bbox: 0.542499 loss_dfl: 0.458749 loss: 2.076204 eta: 1 day, 4:17:53 batch_cost: 1.1277 data_cost: 0.0041 ips: 35.4696 images/s
[07/28 11:28:57] ppdet.engine INFO: Epoch: [174] [600/732] learning_rate: 0.067565 loss_vfl: 1.124986 loss_bbox: 0.573787 loss_dfl: 0.479525 loss: 2.170989 eta: 1 day, 4:17:30 batch_cost: 1.0163 data_cost: 0.0029 ips: 39.3579 images/s
[07/28 11:29:23] ppdet.engine INFO: Epoch: [174] [620/732] learning_rate: 0.067538 loss_vfl: 1.070898 loss_bbox: 0.549074 loss_dfl: 0.467939 loss: 2.090250 eta: 1 day, 4:17:07 batch_cost: 1.0954 data_cost: 0.0048 ips: 36.5148 images/s
[07/28 11:29:48] ppdet.engine INFO: Epoch: [174] [640/732] learning_rate: 0.067512 loss_vfl: 1.077591 loss_bbox: 0.571901 loss_dfl: 0.471177 loss: 2.105940 eta: 1 day, 4:16:43 batch_cost: 1.0036 data_cost: 0.0119 ips: 39.8563 images/s
[07/28 11:30:14] ppdet.engine INFO: Epoch: [174] [660/732] learning_rate: 0.067485 loss_vfl: 1.060544 loss_bbox: 0.563109 loss_dfl: 0.457376 loss: 2.060470 eta: 1 day, 4:16:20 batch_cost: 1.0349 data_cost: 0.0169 ips: 38.6517 images/s
[07/28 11:30:40] ppdet.engine INFO: Epoch: [174] [680/732] learning_rate: 0.067459 loss_vfl: 1.049520 loss_bbox: 0.535103 loss_dfl: 0.458810 loss: 2.052976 eta: 1 day, 4:15:57 batch_cost: 1.0521 data_cost: 0.0094 ips: 38.0204 images/s
[07/28 11:31:06] ppdet.engine INFO: Epoch: [174] [700/732] learning_rate: 0.067432 loss_vfl: 1.017567 loss_bbox: 0.522113 loss_dfl: 0.438478 loss: 1.982544 eta: 1 day, 4:15:34 batch_cost: 1.0679 data_cost: 0.0053 ips: 37.4558 images/s
[07/28 11:31:32] ppdet.engine INFO: Epoch: [174] [720/732] learning_rate: 0.067406 loss_vfl: 1.124986 loss_bbox: 0.583657 loss_dfl: 0.479662 loss: 2.190196 eta: 1 day, 4:15:11 batch_cost: 1.0495 data_cost: 0.0037 ips: 38.1142 images/s
[07/28 11:31:54] ppdet.engine INFO: Epoch: [175] [  0/732] learning_rate: 0.067390 loss_vfl: 1.100115 loss_bbox: 0.576573 loss_dfl: 0.474951 loss: 2.144602 eta: 1 day, 4:15:02 batch_cost: 1.4505 data_cost: 0.6169 ips: 27.5770 images/s
[07/28 11:32:22] ppdet.engine INFO: Epoch: [175] [ 20/732] learning_rate: 0.067364 loss_vfl: 1.069368 loss_bbox: 0.548911 loss_dfl: 0.464750 loss: 2.075022 eta: 1 day, 4:14:41 batch_cost: 1.1887 data_cost: 0.0020 ips: 33.6492 images/s
[07/28 11:32:47] ppdet.engine INFO: Epoch: [175] [ 40/732] learning_rate: 0.067337 loss_vfl: 1.091790 loss_bbox: 0.577875 loss_dfl: 0.478570 loss: 2.137509 eta: 1 day, 4:14:18 batch_cost: 1.0195 data_cost: 0.0129 ips: 39.2345 images/s
[07/28 11:33:14] ppdet.engine INFO: Epoch: [175] [ 60/732] learning_rate: 0.067311 loss_vfl: 1.083174 loss_bbox: 0.542168 loss_dfl: 0.464715 loss: 2.100446 eta: 1 day, 4:13:55 batch_cost: 1.0702 data_cost: 0.0101 ips: 37.3766 images/s
[07/28 11:33:41] ppdet.engine INFO: Epoch: [175] [ 80/732] learning_rate: 0.067284 loss_vfl: 1.128322 loss_bbox: 0.571550 loss_dfl: 0.480342 loss: 2.157059 eta: 1 day, 4:13:32 batch_cost: 1.0897 data_cost: 0.0072 ips: 36.7067 images/s
[07/28 11:34:08] ppdet.engine INFO: Epoch: [175] [100/732] learning_rate: 0.067258 loss_vfl: 1.117080 loss_bbox: 0.564792 loss_dfl: 0.484538 loss: 2.143816 eta: 1 day, 4:13:09 batch_cost: 1.0270 data_cost: 0.0124 ips: 38.9494 images/s
[07/28 11:34:34] ppdet.engine INFO: Epoch: [175] [120/732] learning_rate: 0.067231 loss_vfl: 1.093895 loss_bbox: 0.550205 loss_dfl: 0.467340 loss: 2.102843 eta: 1 day, 4:12:45 batch_cost: 1.0162 data_cost: 0.0052 ips: 39.3605 images/s
[07/28 11:35:00] ppdet.engine INFO: Epoch: [175] [140/732] learning_rate: 0.067205 loss_vfl: 1.114457 loss_bbox: 0.579067 loss_dfl: 0.481019 loss: 2.174458 eta: 1 day, 4:12:22 batch_cost: 1.0243 data_cost: 0.0213 ips: 39.0526 images/s
[07/28 11:35:26] ppdet.engine INFO: Epoch: [175] [160/732] learning_rate: 0.067179 loss_vfl: 1.124967 loss_bbox: 0.576951 loss_dfl: 0.488494 loss: 2.202191 eta: 1 day, 4:11:58 batch_cost: 1.0027 data_cost: 0.0044 ips: 39.8937 images/s
[07/28 11:35:52] ppdet.engine INFO: Epoch: [175] [180/732] learning_rate: 0.067152 loss_vfl: 1.091870 loss_bbox: 0.544321 loss_dfl: 0.450065 loss: 2.083568 eta: 1 day, 4:11:35 batch_cost: 1.0401 data_cost: 0.0101 ips: 38.4570 images/s
[07/28 11:36:17] ppdet.engine INFO: Epoch: [175] [200/732] learning_rate: 0.067126 loss_vfl: 1.085626 loss_bbox: 0.567800 loss_dfl: 0.469144 loss: 2.151368 eta: 1 day, 4:11:10 batch_cost: 0.9311 data_cost: 0.0124 ips: 42.9602 images/s
[07/28 11:36:44] ppdet.engine INFO: Epoch: [175] [220/732] learning_rate: 0.067099 loss_vfl: 1.095304 loss_bbox: 0.572838 loss_dfl: 0.468943 loss: 2.132977 eta: 1 day, 4:10:47 batch_cost: 1.0555 data_cost: 0.0043 ips: 37.8975 images/s
[07/28 11:37:10] ppdet.engine INFO: Epoch: [175] [240/732] learning_rate: 0.067073 loss_vfl: 1.066587 loss_bbox: 0.551133 loss_dfl: 0.460866 loss: 2.072409 eta: 1 day, 4:10:23 batch_cost: 0.9867 data_cost: 0.0055 ips: 40.5384 images/s
[07/28 11:37:36] ppdet.engine INFO: Epoch: [175] [260/732] learning_rate: 0.067047 loss_vfl: 1.063691 loss_bbox: 0.545386 loss_dfl: 0.456891 loss: 2.052340 eta: 1 day, 4:10:00 batch_cost: 1.0259 data_cost: 0.0080 ips: 38.9916 images/s
[07/28 11:38:02] ppdet.engine INFO: Epoch: [175] [280/732] learning_rate: 0.067020 loss_vfl: 1.107253 loss_bbox: 0.568730 loss_dfl: 0.477650 loss: 2.154081 eta: 1 day, 4:09:37 batch_cost: 1.0690 data_cost: 0.0049 ips: 37.4186 images/s
[07/28 11:38:28] ppdet.engine INFO: Epoch: [175] [300/732] learning_rate: 0.066994 loss_vfl: 1.109229 loss_bbox: 0.583977 loss_dfl: 0.495961 loss: 2.217955 eta: 1 day, 4:09:14 batch_cost: 1.0617 data_cost: 0.0037 ips: 37.6766 images/s
[07/28 11:38:54] ppdet.engine INFO: Epoch: [175] [320/732] learning_rate: 0.066968 loss_vfl: 1.070452 loss_bbox: 0.549123 loss_dfl: 0.472453 loss: 2.102040 eta: 1 day, 4:08:50 batch_cost: 0.9947 data_cost: 0.0059 ips: 40.2140 images/s
[07/28 11:39:21] ppdet.engine INFO: Epoch: [175] [340/732] learning_rate: 0.066941 loss_vfl: 1.107237 loss_bbox: 0.569065 loss_dfl: 0.479961 loss: 2.163163 eta: 1 day, 4:08:26 batch_cost: 0.9930 data_cost: 0.0058 ips: 40.2809 images/s
[07/28 11:39:47] ppdet.engine INFO: Epoch: [175] [360/732] learning_rate: 0.066915 loss_vfl: 1.060931 loss_bbox: 0.532918 loss_dfl: 0.444404 loss: 2.022449 eta: 1 day, 4:08:02 batch_cost: 0.9853 data_cost: 0.0041 ips: 40.5954 images/s
[07/28 11:40:15] ppdet.engine INFO: Epoch: [175] [380/732] learning_rate: 0.066888 loss_vfl: 1.097142 loss_bbox: 0.562984 loss_dfl: 0.473947 loss: 2.143537 eta: 1 day, 4:07:39 batch_cost: 1.0373 data_cost: 0.0058 ips: 38.5621 images/s
[07/28 11:40:39] ppdet.engine INFO: Epoch: [175] [400/732] learning_rate: 0.066862 loss_vfl: 1.091486 loss_bbox: 0.564345 loss_dfl: 0.477546 loss: 2.129133 eta: 1 day, 4:07:14 batch_cost: 0.9730 data_cost: 0.0028 ips: 41.1118 images/s
[07/28 11:41:08] ppdet.engine INFO: Epoch: [175] [420/732] learning_rate: 0.066836 loss_vfl: 1.105412 loss_bbox: 0.571543 loss_dfl: 0.479166 loss: 2.149755 eta: 1 day, 4:06:52 batch_cost: 1.1196 data_cost: 0.0062 ips: 35.7279 images/s
[07/28 11:41:34] ppdet.engine INFO: Epoch: [175] [440/732] learning_rate: 0.066809 loss_vfl: 1.112459 loss_bbox: 0.540044 loss_dfl: 0.455870 loss: 2.087886 eta: 1 day, 4:06:30 batch_cost: 1.0856 data_cost: 0.0045 ips: 36.8447 images/s
[07/28 11:42:01] ppdet.engine INFO: Epoch: [175] [460/732] learning_rate: 0.066783 loss_vfl: 1.046383 loss_bbox: 0.548081 loss_dfl: 0.456453 loss: 2.032580 eta: 1 day, 4:06:08 batch_cost: 1.1160 data_cost: 0.0083 ips: 35.8423 images/s
[07/28 11:42:27] ppdet.engine INFO: Epoch: [175] [480/732] learning_rate: 0.066757 loss_vfl: 1.109298 loss_bbox: 0.561680 loss_dfl: 0.472390 loss: 2.167691 eta: 1 day, 4:05:45 batch_cost: 1.0648 data_cost: 0.0081 ips: 37.5666 images/s
[07/28 11:42:53] ppdet.engine INFO: Epoch: [175] [500/732] learning_rate: 0.066730 loss_vfl: 1.045169 loss_bbox: 0.529226 loss_dfl: 0.452917 loss: 2.009532 eta: 1 day, 4:05:23 batch_cost: 1.1340 data_cost: 0.0061 ips: 35.2742 images/s
[07/28 11:43:18] ppdet.engine INFO: Epoch: [175] [520/732] learning_rate: 0.066704 loss_vfl: 1.088212 loss_bbox: 0.568582 loss_dfl: 0.478518 loss: 2.140241 eta: 1 day, 4:04:59 batch_cost: 0.9750 data_cost: 0.0068 ips: 41.0238 images/s
[07/28 11:43:45] ppdet.engine INFO: Epoch: [175] [540/732] learning_rate: 0.066678 loss_vfl: 1.088229 loss_bbox: 0.571379 loss_dfl: 0.482059 loss: 2.138011 eta: 1 day, 4:04:36 batch_cost: 1.0819 data_cost: 0.0053 ips: 36.9734 images/s
[07/28 11:44:13] ppdet.engine INFO: Epoch: [175] [560/732] learning_rate: 0.066651 loss_vfl: 1.072742 loss_bbox: 0.546125 loss_dfl: 0.464490 loss: 2.094743 eta: 1 day, 4:04:13 batch_cost: 1.0454 data_cost: 0.0080 ips: 38.2611 images/s
[07/28 11:44:40] ppdet.engine INFO: Epoch: [175] [580/732] learning_rate: 0.066625 loss_vfl: 1.105964 loss_bbox: 0.565795 loss_dfl: 0.483712 loss: 2.151057 eta: 1 day, 4:03:51 batch_cost: 1.1458 data_cost: 0.0042 ips: 34.9093 images/s
[07/28 11:45:06] ppdet.engine INFO: Epoch: [175] [600/732] learning_rate: 0.066599 loss_vfl: 1.089833 loss_bbox: 0.545933 loss_dfl: 0.469360 loss: 2.128633 eta: 1 day, 4:03:28 batch_cost: 1.0314 data_cost: 0.0056 ips: 38.7832 images/s
[07/28 11:45:34] ppdet.engine INFO: Epoch: [175] [620/732] learning_rate: 0.066572 loss_vfl: 1.046988 loss_bbox: 0.536117 loss_dfl: 0.452314 loss: 2.050333 eta: 1 day, 4:03:06 batch_cost: 1.1113 data_cost: 0.0105 ips: 35.9935 images/s
[07/28 11:46:01] ppdet.engine INFO: Epoch: [175] [640/732] learning_rate: 0.066546 loss_vfl: 1.122253 loss_bbox: 0.551039 loss_dfl: 0.461389 loss: 2.144650 eta: 1 day, 4:02:43 batch_cost: 1.0957 data_cost: 0.0064 ips: 36.5070 images/s
[07/28 11:46:28] ppdet.engine INFO: Epoch: [175] [660/732] learning_rate: 0.066520 loss_vfl: 1.103474 loss_bbox: 0.561185 loss_dfl: 0.467462 loss: 2.136279 eta: 1 day, 4:02:19 batch_cost: 0.9875 data_cost: 0.0143 ips: 40.5050 images/s
[07/28 11:46:52] ppdet.engine INFO: Epoch: [175] [680/732] learning_rate: 0.066494 loss_vfl: 1.099407 loss_bbox: 0.549713 loss_dfl: 0.473342 loss: 2.136029 eta: 1 day, 4:01:54 batch_cost: 0.9052 data_cost: 0.0065 ips: 44.1869 images/s
[07/28 11:47:20] ppdet.engine INFO: Epoch: [175] [700/732] learning_rate: 0.066467 loss_vfl: 1.082539 loss_bbox: 0.544196 loss_dfl: 0.464925 loss: 2.130079 eta: 1 day, 4:01:33 batch_cost: 1.1764 data_cost: 0.0071 ips: 34.0034 images/s
[07/28 11:47:45] ppdet.engine INFO: Epoch: [175] [720/732] learning_rate: 0.066441 loss_vfl: 1.101810 loss_bbox: 0.559843 loss_dfl: 0.478321 loss: 2.133662 eta: 1 day, 4:01:10 batch_cost: 1.0914 data_cost: 0.0037 ips: 36.6486 images/s
[07/28 11:48:08] ppdet.engine INFO: Epoch: [176] [  0/732] learning_rate: 0.066425 loss_vfl: 1.079270 loss_bbox: 0.548470 loss_dfl: 0.459585 loss: 2.077396 eta: 1 day, 4:01:02 batch_cost: 1.4223 data_cost: 0.4374 ips: 28.1244 images/s
[07/28 11:48:35] ppdet.engine INFO: Epoch: [176] [ 20/732] learning_rate: 0.066399 loss_vfl: 1.053005 loss_bbox: 0.543747 loss_dfl: 0.457651 loss: 2.046463 eta: 1 day, 4:00:39 batch_cost: 1.1002 data_cost: 0.0111 ips: 36.3584 images/s
[07/28 11:49:02] ppdet.engine INFO: Epoch: [176] [ 40/732] learning_rate: 0.066373 loss_vfl: 1.075717 loss_bbox: 0.554814 loss_dfl: 0.460834 loss: 2.103384 eta: 1 day, 4:00:17 batch_cost: 1.1290 data_cost: 0.0081 ips: 35.4285 images/s
[07/28 11:49:29] ppdet.engine INFO: Epoch: [176] [ 60/732] learning_rate: 0.066346 loss_vfl: 1.108441 loss_bbox: 0.562534 loss_dfl: 0.471350 loss: 2.146597 eta: 1 day, 3:59:56 batch_cost: 1.1720 data_cost: 0.0012 ips: 34.1311 images/s
[07/28 11:49:56] ppdet.engine INFO: Epoch: [176] [ 80/732] learning_rate: 0.066320 loss_vfl: 1.110032 loss_bbox: 0.558138 loss_dfl: 0.476864 loss: 2.172782 eta: 1 day, 3:59:35 batch_cost: 1.1712 data_cost: 0.0023 ips: 34.1523 images/s
[07/28 11:50:22] ppdet.engine INFO: Epoch: [176] [100/732] learning_rate: 0.066294 loss_vfl: 1.090096 loss_bbox: 0.556215 loss_dfl: 0.464393 loss: 2.109879 eta: 1 day, 3:59:12 batch_cost: 1.0977 data_cost: 0.0025 ips: 36.4383 images/s
[07/28 11:50:47] ppdet.engine INFO: Epoch: [176] [120/732] learning_rate: 0.066268 loss_vfl: 1.047678 loss_bbox: 0.551222 loss_dfl: 0.461623 loss: 2.070491 eta: 1 day, 3:58:49 batch_cost: 1.0603 data_cost: 0.0055 ips: 37.7248 images/s
[07/28 11:51:13] ppdet.engine INFO: Epoch: [176] [140/732] learning_rate: 0.066241 loss_vfl: 1.126839 loss_bbox: 0.582709 loss_dfl: 0.490713 loss: 2.207217 eta: 1 day, 3:58:27 batch_cost: 1.1400 data_cost: 0.0036 ips: 35.0889 images/s
[07/28 11:51:40] ppdet.engine INFO: Epoch: [176] [160/732] learning_rate: 0.066215 loss_vfl: 1.100011 loss_bbox: 0.567083 loss_dfl: 0.475915 loss: 2.129947 eta: 1 day, 3:58:05 batch_cost: 1.1326 data_cost: 0.0036 ips: 35.3169 images/s
[07/28 11:52:07] ppdet.engine INFO: Epoch: [176] [180/732] learning_rate: 0.066189 loss_vfl: 1.100401 loss_bbox: 0.558197 loss_dfl: 0.461780 loss: 2.121748 eta: 1 day, 3:57:44 batch_cost: 1.1489 data_cost: 0.0040 ips: 34.8153 images/s
[07/28 11:52:31] ppdet.engine INFO: Epoch: [176] [200/732] learning_rate: 0.066163 loss_vfl: 1.079978 loss_bbox: 0.546910 loss_dfl: 0.460204 loss: 2.078243 eta: 1 day, 3:57:21 batch_cost: 1.0450 data_cost: 0.0090 ips: 38.2765 images/s
[07/28 11:52:59] ppdet.engine INFO: Epoch: [176] [220/732] learning_rate: 0.066136 loss_vfl: 1.123377 loss_bbox: 0.588972 loss_dfl: 0.494629 loss: 2.230263 eta: 1 day, 3:56:59 batch_cost: 1.1740 data_cost: 0.0103 ips: 34.0715 images/s
[07/28 11:53:25] ppdet.engine INFO: Epoch: [176] [240/732] learning_rate: 0.066110 loss_vfl: 1.087175 loss_bbox: 0.560035 loss_dfl: 0.465666 loss: 2.104441 eta: 1 day, 3:56:37 batch_cost: 1.1212 data_cost: 0.0076 ips: 35.6772 images/s
[07/28 11:53:52] ppdet.engine INFO: Epoch: [176] [260/732] learning_rate: 0.066084 loss_vfl: 1.078627 loss_bbox: 0.533320 loss_dfl: 0.463114 loss: 2.060443 eta: 1 day, 3:56:16 batch_cost: 1.1511 data_cost: 0.0069 ips: 34.7492 images/s
[07/28 11:54:18] ppdet.engine INFO: Epoch: [176] [280/732] learning_rate: 0.066058 loss_vfl: 1.058913 loss_bbox: 0.539152 loss_dfl: 0.447156 loss: 2.061061 eta: 1 day, 3:55:52 batch_cost: 1.0527 data_cost: 0.0059 ips: 37.9977 images/s
[07/28 11:54:44] ppdet.engine INFO: Epoch: [176] [300/732] learning_rate: 0.066031 loss_vfl: 1.083340 loss_bbox: 0.544227 loss_dfl: 0.463167 loss: 2.116420 eta: 1 day, 3:55:30 batch_cost: 1.1108 data_cost: 0.0043 ips: 36.0113 images/s
[07/28 11:55:10] ppdet.engine INFO: Epoch: [176] [320/732] learning_rate: 0.066005 loss_vfl: 1.056615 loss_bbox: 0.542239 loss_dfl: 0.448644 loss: 2.028600 eta: 1 day, 3:55:08 batch_cost: 1.0987 data_cost: 0.0050 ips: 36.4059 images/s
[07/28 11:55:37] ppdet.engine INFO: Epoch: [176] [340/732] learning_rate: 0.065979 loss_vfl: 1.107674 loss_bbox: 0.570318 loss_dfl: 0.480841 loss: 2.170363 eta: 1 day, 3:54:46 batch_cost: 1.1439 data_cost: 0.0065 ips: 34.9684 images/s
[07/28 11:56:00] ppdet.engine INFO: Epoch: [176] [360/732] learning_rate: 0.065953 loss_vfl: 1.033862 loss_bbox: 0.547482 loss_dfl: 0.454950 loss: 2.046103 eta: 1 day, 3:54:21 batch_cost: 0.9251 data_cost: 0.0032 ips: 43.2401 images/s
[07/28 11:56:29] ppdet.engine INFO: Epoch: [176] [380/732] learning_rate: 0.065927 loss_vfl: 1.112134 loss_bbox: 0.575544 loss_dfl: 0.475504 loss: 2.166105 eta: 1 day, 3:53:59 batch_cost: 1.0925 data_cost: 0.0055 ips: 36.6126 images/s
[07/28 11:56:54] ppdet.engine INFO: Epoch: [176] [400/732] learning_rate: 0.065900 loss_vfl: 1.083676 loss_bbox: 0.563294 loss_dfl: 0.468059 loss: 2.113830 eta: 1 day, 3:53:36 batch_cost: 1.0394 data_cost: 0.0088 ips: 38.4855 images/s
[07/28 11:57:22] ppdet.engine INFO: Epoch: [176] [420/732] learning_rate: 0.065874 loss_vfl: 1.073061 loss_bbox: 0.546514 loss_dfl: 0.470374 loss: 2.097665 eta: 1 day, 3:53:15 batch_cost: 1.2020 data_cost: 0.0045 ips: 33.2769 images/s
[07/28 11:57:48] ppdet.engine INFO: Epoch: [176] [440/732] learning_rate: 0.065848 loss_vfl: 1.041430 loss_bbox: 0.527483 loss_dfl: 0.439629 loss: 2.004737 eta: 1 day, 3:52:52 batch_cost: 1.1176 data_cost: 0.0082 ips: 35.7919 images/s
[07/28 11:58:15] ppdet.engine INFO: Epoch: [176] [460/732] learning_rate: 0.065822 loss_vfl: 1.096179 loss_bbox: 0.556431 loss_dfl: 0.475105 loss: 2.135457 eta: 1 day, 3:52:29 batch_cost: 1.0303 data_cost: 0.0059 ips: 38.8254 images/s
[07/28 11:58:41] ppdet.engine INFO: Epoch: [176] [480/732] learning_rate: 0.065796 loss_vfl: 1.069100 loss_bbox: 0.548684 loss_dfl: 0.456932 loss: 2.068499 eta: 1 day, 3:52:07 batch_cost: 1.0923 data_cost: 0.0070 ips: 36.6204 images/s
[07/28 11:59:08] ppdet.engine INFO: Epoch: [176] [500/732] learning_rate: 0.065769 loss_vfl: 0.974976 loss_bbox: 0.518519 loss_dfl: 0.440409 loss: 1.951597 eta: 1 day, 3:51:45 batch_cost: 1.1547 data_cost: 0.0056 ips: 34.6412 images/s
[07/28 11:59:34] ppdet.engine INFO: Epoch: [176] [520/732] learning_rate: 0.065743 loss_vfl: 1.081029 loss_bbox: 0.562558 loss_dfl: 0.462466 loss: 2.080406 eta: 1 day, 3:51:22 batch_cost: 1.0437 data_cost: 0.0084 ips: 38.3268 images/s
[07/28 12:00:00] ppdet.engine INFO: Epoch: [176] [540/732] learning_rate: 0.065717 loss_vfl: 1.090973 loss_bbox: 0.556550 loss_dfl: 0.478012 loss: 2.127396 eta: 1 day, 3:50:58 batch_cost: 1.0301 data_cost: 0.0064 ips: 38.8325 images/s
[07/28 12:00:25] ppdet.engine INFO: Epoch: [176] [560/732] learning_rate: 0.065691 loss_vfl: 1.111564 loss_bbox: 0.581431 loss_dfl: 0.481513 loss: 2.159582 eta: 1 day, 3:50:35 batch_cost: 1.0511 data_cost: 0.0086 ips: 38.0544 images/s
[07/28 12:00:52] ppdet.engine INFO: Epoch: [176] [580/732] learning_rate: 0.065665 loss_vfl: 1.090765 loss_bbox: 0.556427 loss_dfl: 0.460487 loss: 2.116698 eta: 1 day, 3:50:13 batch_cost: 1.1144 data_cost: 0.0080 ips: 35.8942 images/s
[07/28 12:01:19] ppdet.engine INFO: Epoch: [176] [600/732] learning_rate: 0.065639 loss_vfl: 1.073374 loss_bbox: 0.561564 loss_dfl: 0.463728 loss: 2.085200 eta: 1 day, 3:49:51 batch_cost: 1.1364 data_cost: 0.0031 ips: 35.1993 images/s
[07/28 12:01:46] ppdet.engine INFO: Epoch: [176] [620/732] learning_rate: 0.065612 loss_vfl: 1.117418 loss_bbox: 0.559339 loss_dfl: 0.469912 loss: 2.140418 eta: 1 day, 3:49:30 batch_cost: 1.1477 data_cost: 0.0059 ips: 34.8527 images/s
[07/28 12:02:12] ppdet.engine INFO: Epoch: [176] [640/732] learning_rate: 0.065586 loss_vfl: 1.076567 loss_bbox: 0.551968 loss_dfl: 0.463663 loss: 2.102230 eta: 1 day, 3:49:08 batch_cost: 1.1396 data_cost: 0.0090 ips: 35.1008 images/s
[07/28 12:02:38] ppdet.engine INFO: Epoch: [176] [660/732] learning_rate: 0.065560 loss_vfl: 1.057476 loss_bbox: 0.548889 loss_dfl: 0.457534 loss: 2.073396 eta: 1 day, 3:48:45 batch_cost: 1.0743 data_cost: 0.0089 ips: 37.2345 images/s
[07/28 12:03:04] ppdet.engine INFO: Epoch: [176] [680/732] learning_rate: 0.065534 loss_vfl: 1.117355 loss_bbox: 0.577994 loss_dfl: 0.470326 loss: 2.143390 eta: 1 day, 3:48:22 batch_cost: 1.0425 data_cost: 0.0075 ips: 38.3710 images/s
[07/28 12:03:30] ppdet.engine INFO: Epoch: [176] [700/732] learning_rate: 0.065508 loss_vfl: 1.062294 loss_bbox: 0.531962 loss_dfl: 0.452738 loss: 2.034137 eta: 1 day, 3:47:59 batch_cost: 1.0769 data_cost: 0.0106 ips: 37.1429 images/s
[07/28 12:03:55] ppdet.engine INFO: Epoch: [176] [720/732] learning_rate: 0.065482 loss_vfl: 1.047866 loss_bbox: 0.551862 loss_dfl: 0.458573 loss: 2.073820 eta: 1 day, 3:47:36 batch_cost: 1.0653 data_cost: 0.0059 ips: 37.5486 images/s
[07/28 12:04:12] ppdet.engine INFO: Epoch: [177] [  0/732] learning_rate: 0.065466 loss_vfl: 1.035427 loss_bbox: 0.552623 loss_dfl: 0.457513 loss: 2.050811 eta: 1 day, 3:47:24 batch_cost: 1.1081 data_cost: 0.3745 ips: 36.0981 images/s
[07/28 12:04:45] ppdet.engine INFO: Epoch: [177] [ 20/732] learning_rate: 0.065440 loss_vfl: 1.106351 loss_bbox: 0.544549 loss_dfl: 0.471102 loss: 2.134464 eta: 1 day, 3:47:06 batch_cost: 1.4251 data_cost: 0.2188 ips: 28.0672 images/s
[07/28 12:05:11] ppdet.engine INFO: Epoch: [177] [ 40/732] learning_rate: 0.065414 loss_vfl: 1.105215 loss_bbox: 0.567993 loss_dfl: 0.478729 loss: 2.147978 eta: 1 day, 3:46:43 batch_cost: 1.0612 data_cost: 0.0040 ips: 37.6925 images/s
[07/28 12:05:36] ppdet.engine INFO: Epoch: [177] [ 60/732] learning_rate: 0.065388 loss_vfl: 1.041978 loss_bbox: 0.531055 loss_dfl: 0.445357 loss: 2.030563 eta: 1 day, 3:46:19 batch_cost: 0.9924 data_cost: 0.0105 ips: 40.3044 images/s
[07/28 12:06:04] ppdet.engine INFO: Epoch: [177] [ 80/732] learning_rate: 0.065362 loss_vfl: 1.085568 loss_bbox: 0.565463 loss_dfl: 0.464132 loss: 2.103943 eta: 1 day, 3:45:56 batch_cost: 1.0572 data_cost: 0.0109 ips: 37.8347 images/s
[07/28 12:06:29] ppdet.engine INFO: Epoch: [177] [100/732] learning_rate: 0.065335 loss_vfl: 1.078445 loss_bbox: 0.542187 loss_dfl: 0.468487 loss: 2.071918 eta: 1 day, 3:45:32 batch_cost: 1.0077 data_cost: 0.0043 ips: 39.6942 images/s
[07/28 12:06:56] ppdet.engine INFO: Epoch: [177] [120/732] learning_rate: 0.065309 loss_vfl: 1.114975 loss_bbox: 0.560327 loss_dfl: 0.478580 loss: 2.170531 eta: 1 day, 3:45:09 batch_cost: 1.0477 data_cost: 0.0135 ips: 38.1775 images/s
[07/28 12:07:22] ppdet.engine INFO: Epoch: [177] [140/732] learning_rate: 0.065283 loss_vfl: 1.050054 loss_bbox: 0.551389 loss_dfl: 0.454750 loss: 2.069782 eta: 1 day, 3:44:46 batch_cost: 1.0629 data_cost: 0.0030 ips: 37.6343 images/s
[07/28 12:07:48] ppdet.engine INFO: Epoch: [177] [160/732] learning_rate: 0.065257 loss_vfl: 1.086406 loss_bbox: 0.557235 loss_dfl: 0.464806 loss: 2.103925 eta: 1 day, 3:44:23 batch_cost: 0.9945 data_cost: 0.0058 ips: 40.2224 images/s
[07/28 12:08:14] ppdet.engine INFO: Epoch: [177] [180/732] learning_rate: 0.065231 loss_vfl: 1.068858 loss_bbox: 0.555298 loss_dfl: 0.474164 loss: 2.121136 eta: 1 day, 3:43:58 batch_cost: 0.9735 data_cost: 0.0072 ips: 41.0885 images/s
[07/28 12:08:41] ppdet.engine INFO: Epoch: [177] [200/732] learning_rate: 0.065205 loss_vfl: 1.093442 loss_bbox: 0.579984 loss_dfl: 0.484158 loss: 2.143833 eta: 1 day, 3:43:36 batch_cost: 1.1010 data_cost: 0.0080 ips: 36.3318 images/s
[07/28 12:09:08] ppdet.engine INFO: Epoch: [177] [220/732] learning_rate: 0.065179 loss_vfl: 1.067809 loss_bbox: 0.560501 loss_dfl: 0.465952 loss: 2.090749 eta: 1 day, 3:43:13 batch_cost: 1.0219 data_cost: 0.0049 ips: 39.1444 images/s
[07/28 12:09:33] ppdet.engine INFO: Epoch: [177] [240/732] learning_rate: 0.065153 loss_vfl: 1.083076 loss_bbox: 0.579167 loss_dfl: 0.481052 loss: 2.144444 eta: 1 day, 3:42:49 batch_cost: 1.0249 data_cost: 0.0051 ips: 39.0282 images/s
[07/28 12:09:58] ppdet.engine INFO: Epoch: [177] [260/732] learning_rate: 0.065127 loss_vfl: 1.101347 loss_bbox: 0.592075 loss_dfl: 0.485486 loss: 2.186526 eta: 1 day, 3:42:25 batch_cost: 0.9876 data_cost: 0.0061 ips: 40.5020 images/s
[07/28 12:10:26] ppdet.engine INFO: Epoch: [177] [280/732] learning_rate: 0.065101 loss_vfl: 1.065809 loss_bbox: 0.530438 loss_dfl: 0.450148 loss: 2.046635 eta: 1 day, 3:42:03 batch_cost: 1.0691 data_cost: 0.0127 ips: 37.4130 images/s
[07/28 12:10:52] ppdet.engine INFO: Epoch: [177] [300/732] learning_rate: 0.065075 loss_vfl: 1.094996 loss_bbox: 0.565501 loss_dfl: 0.471265 loss: 2.131286 eta: 1 day, 3:41:39 batch_cost: 1.0318 data_cost: 0.0070 ips: 38.7662 images/s
[07/28 12:11:18] ppdet.engine INFO: Epoch: [177] [320/732] learning_rate: 0.065049 loss_vfl: 1.059062 loss_bbox: 0.551810 loss_dfl: 0.455382 loss: 2.043052 eta: 1 day, 3:41:16 batch_cost: 1.0564 data_cost: 0.0112 ips: 37.8653 images/s
[07/28 12:11:44] ppdet.engine INFO: Epoch: [177] [340/732] learning_rate: 0.065022 loss_vfl: 1.129115 loss_bbox: 0.585911 loss_dfl: 0.487786 loss: 2.191024 eta: 1 day, 3:40:53 batch_cost: 1.0059 data_cost: 0.0096 ips: 39.7659 images/s
[07/28 12:12:10] ppdet.engine INFO: Epoch: [177] [360/732] learning_rate: 0.064996 loss_vfl: 1.062347 loss_bbox: 0.566877 loss_dfl: 0.463659 loss: 2.091400 eta: 1 day, 3:40:30 batch_cost: 1.0576 data_cost: 0.0333 ips: 37.8232 images/s
[07/28 12:12:36] ppdet.engine INFO: Epoch: [177] [380/732] learning_rate: 0.064970 loss_vfl: 1.085997 loss_bbox: 0.567849 loss_dfl: 0.472620 loss: 2.105503 eta: 1 day, 3:40:07 batch_cost: 1.0562 data_cost: 0.0059 ips: 37.8731 images/s
[07/28 12:13:03] ppdet.engine INFO: Epoch: [177] [400/732] learning_rate: 0.064944 loss_vfl: 1.099697 loss_bbox: 0.545017 loss_dfl: 0.468358 loss: 2.121408 eta: 1 day, 3:39:43 batch_cost: 1.0355 data_cost: 0.0086 ips: 38.6299 images/s
[07/28 12:13:28] ppdet.engine INFO: Epoch: [177] [420/732] learning_rate: 0.064918 loss_vfl: 1.097340 loss_bbox: 0.567064 loss_dfl: 0.476077 loss: 2.158770 eta: 1 day, 3:39:19 batch_cost: 0.9218 data_cost: 0.0075 ips: 43.3955 images/s
[07/28 12:13:54] ppdet.engine INFO: Epoch: [177] [440/732] learning_rate: 0.064892 loss_vfl: 1.114492 loss_bbox: 0.558505 loss_dfl: 0.472474 loss: 2.149115 eta: 1 day, 3:38:55 batch_cost: 1.0163 data_cost: 0.0072 ips: 39.3586 images/s
[07/28 12:14:21] ppdet.engine INFO: Epoch: [177] [460/732] learning_rate: 0.064866 loss_vfl: 1.102398 loss_bbox: 0.556771 loss_dfl: 0.466490 loss: 2.112741 eta: 1 day, 3:38:32 batch_cost: 1.0819 data_cost: 0.0030 ips: 36.9713 images/s
[07/28 12:14:47] ppdet.engine INFO: Epoch: [177] [480/732] learning_rate: 0.064840 loss_vfl: 1.091882 loss_bbox: 0.567021 loss_dfl: 0.484410 loss: 2.191988 eta: 1 day, 3:38:09 batch_cost: 1.0442 data_cost: 0.0057 ips: 38.3076 images/s
[07/28 12:15:13] ppdet.engine INFO: Epoch: [177] [500/732] learning_rate: 0.064814 loss_vfl: 1.096025 loss_bbox: 0.565985 loss_dfl: 0.469986 loss: 2.134518 eta: 1 day, 3:37:45 batch_cost: 0.9899 data_cost: 0.0079 ips: 40.4090 images/s
[07/28 12:15:41] ppdet.engine INFO: Epoch: [177] [520/732] learning_rate: 0.064788 loss_vfl: 1.055931 loss_bbox: 0.529485 loss_dfl: 0.451711 loss: 2.033549 eta: 1 day, 3:37:22 batch_cost: 1.0276 data_cost: 0.0034 ips: 38.9274 images/s
[07/28 12:16:05] ppdet.engine INFO: Epoch: [177] [540/732] learning_rate: 0.064762 loss_vfl: 1.095092 loss_bbox: 0.578015 loss_dfl: 0.476473 loss: 2.162895 eta: 1 day, 3:36:58 batch_cost: 0.9534 data_cost: 0.0084 ips: 41.9551 images/s
[07/28 12:16:30] ppdet.engine INFO: Epoch: [177] [560/732] learning_rate: 0.064736 loss_vfl: 1.051674 loss_bbox: 0.539773 loss_dfl: 0.446648 loss: 2.035314 eta: 1 day, 3:36:34 batch_cost: 1.0272 data_cost: 0.0055 ips: 38.9422 images/s
[07/28 12:16:57] ppdet.engine INFO: Epoch: [177] [580/732] learning_rate: 0.064710 loss_vfl: 1.096829 loss_bbox: 0.563788 loss_dfl: 0.474943 loss: 2.139292 eta: 1 day, 3:36:12 batch_cost: 1.1330 data_cost: 0.0120 ips: 35.3039 images/s
[07/28 12:17:24] ppdet.engine INFO: Epoch: [177] [600/732] learning_rate: 0.064684 loss_vfl: 1.094259 loss_bbox: 0.552694 loss_dfl: 0.472919 loss: 2.127378 eta: 1 day, 3:35:49 batch_cost: 1.0408 data_cost: 0.0081 ips: 38.4331 images/s
[07/28 12:17:50] ppdet.engine INFO: Epoch: [177] [620/732] learning_rate: 0.064658 loss_vfl: 1.067997 loss_bbox: 0.537835 loss_dfl: 0.457022 loss: 2.052034 eta: 1 day, 3:35:26 batch_cost: 1.0183 data_cost: 0.0035 ips: 39.2801 images/s
[07/28 12:18:16] ppdet.engine INFO: Epoch: [177] [640/732] learning_rate: 0.064632 loss_vfl: 1.114296 loss_bbox: 0.577397 loss_dfl: 0.490080 loss: 2.166102 eta: 1 day, 3:35:03 batch_cost: 1.1017 data_cost: 0.0050 ips: 36.3078 images/s
[07/28 12:18:44] ppdet.engine INFO: Epoch: [177] [660/732] learning_rate: 0.064606 loss_vfl: 1.082952 loss_bbox: 0.542880 loss_dfl: 0.465636 loss: 2.086581 eta: 1 day, 3:34:42 batch_cost: 1.2078 data_cost: 0.0057 ips: 33.1192 images/s
[07/28 12:19:07] ppdet.engine INFO: Epoch: [177] [680/732] learning_rate: 0.064580 loss_vfl: 1.101427 loss_bbox: 0.558106 loss_dfl: 0.473331 loss: 2.135615 eta: 1 day, 3:34:18 batch_cost: 0.9302 data_cost: 0.0179 ips: 43.0031 images/s
[07/28 12:19:34] ppdet.engine INFO: Epoch: [177] [700/732] learning_rate: 0.064554 loss_vfl: 1.103059 loss_bbox: 0.539545 loss_dfl: 0.468718 loss: 2.122759 eta: 1 day, 3:33:56 batch_cost: 1.1102 data_cost: 0.0067 ips: 36.0300 images/s
[07/28 12:20:00] ppdet.engine INFO: Epoch: [177] [720/732] learning_rate: 0.064528 loss_vfl: 1.135796 loss_bbox: 0.586763 loss_dfl: 0.485280 loss: 2.222685 eta: 1 day, 3:33:33 batch_cost: 1.1030 data_cost: 0.0044 ips: 36.2656 images/s
[07/28 12:20:23] ppdet.engine INFO: Epoch: [178] [  0/732] learning_rate: 0.064513 loss_vfl: 1.088382 loss_bbox: 0.584045 loss_dfl: 0.483117 loss: 2.146662 eta: 1 day, 3:33:25 batch_cost: 1.5174 data_cost: 0.3378 ips: 26.3603 images/s
[07/28 12:20:51] ppdet.engine INFO: Epoch: [178] [ 20/732] learning_rate: 0.064487 loss_vfl: 1.095399 loss_bbox: 0.558438 loss_dfl: 0.462936 loss: 2.112371 eta: 1 day, 3:33:03 batch_cost: 1.1306 data_cost: 0.0077 ips: 35.3801 images/s
[07/28 12:21:19] ppdet.engine INFO: Epoch: [178] [ 40/732] learning_rate: 0.064461 loss_vfl: 1.062239 loss_bbox: 0.533385 loss_dfl: 0.458378 loss: 2.067150 eta: 1 day, 3:32:42 batch_cost: 1.1803 data_cost: 0.0028 ips: 33.8891 images/s
[07/28 12:21:47] ppdet.engine INFO: Epoch: [178] [ 60/732] learning_rate: 0.064435 loss_vfl: 1.125331 loss_bbox: 0.559074 loss_dfl: 0.481091 loss: 2.179242 eta: 1 day, 3:32:19 batch_cost: 1.0951 data_cost: 0.0048 ips: 36.5254 images/s
[07/28 12:22:13] ppdet.engine INFO: Epoch: [178] [ 80/732] learning_rate: 0.064409 loss_vfl: 1.086190 loss_bbox: 0.543312 loss_dfl: 0.463014 loss: 2.081223 eta: 1 day, 3:31:56 batch_cost: 1.0205 data_cost: 0.0065 ips: 39.1949 images/s
[07/28 12:22:39] ppdet.engine INFO: Epoch: [178] [100/732] learning_rate: 0.064383 loss_vfl: 1.058649 loss_bbox: 0.552660 loss_dfl: 0.456604 loss: 2.066221 eta: 1 day, 3:31:33 batch_cost: 1.0650 data_cost: 0.0100 ips: 37.5585 images/s
[07/28 12:23:06] ppdet.engine INFO: Epoch: [178] [120/732] learning_rate: 0.064357 loss_vfl: 1.041549 loss_bbox: 0.533770 loss_dfl: 0.449758 loss: 2.017875 eta: 1 day, 3:31:12 batch_cost: 1.2022 data_cost: 0.0041 ips: 33.2732 images/s
[07/28 12:23:34] ppdet.engine INFO: Epoch: [178] [140/732] learning_rate: 0.064331 loss_vfl: 1.094860 loss_bbox: 0.546981 loss_dfl: 0.462414 loss: 2.127123 eta: 1 day, 3:30:50 batch_cost: 1.1149 data_cost: 0.0044 ips: 35.8785 images/s
[07/28 12:23:59] ppdet.engine INFO: Epoch: [178] [160/732] learning_rate: 0.064305 loss_vfl: 1.055961 loss_bbox: 0.546974 loss_dfl: 0.458403 loss: 2.063431 eta: 1 day, 3:30:26 batch_cost: 1.0060 data_cost: 0.0067 ips: 39.7615 images/s
[07/28 12:24:24] ppdet.engine INFO: Epoch: [178] [180/732] learning_rate: 0.064279 loss_vfl: 1.059528 loss_bbox: 0.544739 loss_dfl: 0.455643 loss: 2.048854 eta: 1 day, 3:30:02 batch_cost: 0.9722 data_cost: 0.0034 ips: 41.1449 images/s
[07/28 12:24:51] ppdet.engine INFO: Epoch: [178] [200/732] learning_rate: 0.064253 loss_vfl: 1.043005 loss_bbox: 0.524882 loss_dfl: 0.444010 loss: 2.004485 eta: 1 day, 3:29:41 batch_cost: 1.1962 data_cost: 0.0075 ips: 33.4379 images/s
[07/28 12:25:18] ppdet.engine INFO: Epoch: [178] [220/732] learning_rate: 0.064227 loss_vfl: 1.091066 loss_bbox: 0.551656 loss_dfl: 0.466515 loss: 2.115564 eta: 1 day, 3:29:19 batch_cost: 1.1253 data_cost: 0.0046 ips: 35.5474 images/s
[07/28 12:25:44] ppdet.engine INFO: Epoch: [178] [240/732] learning_rate: 0.064201 loss_vfl: 1.104592 loss_bbox: 0.569881 loss_dfl: 0.475589 loss: 2.170169 eta: 1 day, 3:28:56 batch_cost: 1.0324 data_cost: 0.0105 ips: 38.7435 images/s
[07/28 12:26:12] ppdet.engine INFO: Epoch: [178] [260/732] learning_rate: 0.064175 loss_vfl: 1.101976 loss_bbox: 0.575286 loss_dfl: 0.468365 loss: 2.122039 eta: 1 day, 3:28:34 batch_cost: 1.1616 data_cost: 0.0048 ips: 34.4341 images/s
[07/28 12:26:39] ppdet.engine INFO: Epoch: [178] [280/732] learning_rate: 0.064150 loss_vfl: 1.092648 loss_bbox: 0.549093 loss_dfl: 0.464343 loss: 2.115239 eta: 1 day, 3:28:12 batch_cost: 1.0722 data_cost: 0.0134 ips: 37.3079 images/s
[07/28 12:27:05] ppdet.engine INFO: Epoch: [178] [300/732] learning_rate: 0.064124 loss_vfl: 1.068652 loss_bbox: 0.553904 loss_dfl: 0.470888 loss: 2.097300 eta: 1 day, 3:27:47 batch_cost: 0.9645 data_cost: 0.0082 ips: 41.4738 images/s
[07/28 12:27:33] ppdet.engine INFO: Epoch: [178] [320/732] learning_rate: 0.064098 loss_vfl: 1.078389 loss_bbox: 0.578372 loss_dfl: 0.472030 loss: 2.130052 eta: 1 day, 3:27:24 batch_cost: 1.0500 data_cost: 0.0094 ips: 38.0949 images/s
[07/28 12:27:57] ppdet.engine INFO: Epoch: [178] [340/732] learning_rate: 0.064072 loss_vfl: 1.095212 loss_bbox: 0.582634 loss_dfl: 0.479089 loss: 2.156503 eta: 1 day, 3:27:01 batch_cost: 1.0192 data_cost: 0.0029 ips: 39.2467 images/s
[07/28 12:28:23] ppdet.engine INFO: Epoch: [178] [360/732] learning_rate: 0.064046 loss_vfl: 1.110691 loss_bbox: 0.560937 loss_dfl: 0.474476 loss: 2.148557 eta: 1 day, 3:26:38 batch_cost: 1.0572 data_cost: 0.0067 ips: 37.8366 images/s
[07/28 12:28:49] ppdet.engine INFO: Epoch: [178] [380/732] learning_rate: 0.064020 loss_vfl: 1.123732 loss_bbox: 0.562129 loss_dfl: 0.472076 loss: 2.172425 eta: 1 day, 3:26:14 batch_cost: 1.0134 data_cost: 0.0068 ips: 39.4711 images/s
[07/28 12:29:16] ppdet.engine INFO: Epoch: [178] [400/732] learning_rate: 0.063994 loss_vfl: 1.136198 loss_bbox: 0.570917 loss_dfl: 0.482103 loss: 2.189219 eta: 1 day, 3:25:52 batch_cost: 1.1384 data_cost: 0.0067 ips: 35.1360 images/s
[07/28 12:29:42] ppdet.engine INFO: Epoch: [178] [420/732] learning_rate: 0.063968 loss_vfl: 1.083548 loss_bbox: 0.545542 loss_dfl: 0.461606 loss: 2.090497 eta: 1 day, 3:25:30 batch_cost: 1.1012 data_cost: 0.0055 ips: 36.3248 images/s
[07/28 12:30:08] ppdet.engine INFO: Epoch: [178] [440/732] learning_rate: 0.063942 loss_vfl: 1.081278 loss_bbox: 0.545940 loss_dfl: 0.464739 loss: 2.101729 eta: 1 day, 3:25:08 batch_cost: 1.0969 data_cost: 0.0031 ips: 36.4671 images/s
[07/28 12:30:34] ppdet.engine INFO: Epoch: [178] [460/732] learning_rate: 0.063917 loss_vfl: 1.069697 loss_bbox: 0.570109 loss_dfl: 0.469776 loss: 2.105592 eta: 1 day, 3:24:46 batch_cost: 1.1275 data_cost: 0.0036 ips: 35.4758 images/s
[07/28 12:31:01] ppdet.engine INFO: Epoch: [178] [480/732] learning_rate: 0.063891 loss_vfl: 1.091900 loss_bbox: 0.555976 loss_dfl: 0.466935 loss: 2.123699 eta: 1 day, 3:24:24 batch_cost: 1.1427 data_cost: 0.0040 ips: 35.0058 images/s
[07/28 12:31:28] ppdet.engine INFO: Epoch: [178] [500/732] learning_rate: 0.063865 loss_vfl: 1.113922 loss_bbox: 0.552666 loss_dfl: 0.459641 loss: 2.115611 eta: 1 day, 3:24:02 batch_cost: 1.1219 data_cost: 0.0043 ips: 35.6539 images/s
[07/28 12:31:54] ppdet.engine INFO: Epoch: [178] [520/732] learning_rate: 0.063839 loss_vfl: 1.056582 loss_bbox: 0.552374 loss_dfl: 0.452168 loss: 2.072523 eta: 1 day, 3:23:39 batch_cost: 1.0339 data_cost: 0.0023 ips: 38.6888 images/s
[07/28 12:32:22] ppdet.engine INFO: Epoch: [178] [540/732] learning_rate: 0.063813 loss_vfl: 1.099425 loss_bbox: 0.563859 loss_dfl: 0.474608 loss: 2.127741 eta: 1 day, 3:23:18 batch_cost: 1.2069 data_cost: 0.0093 ips: 33.1415 images/s
[07/28 12:32:49] ppdet.engine INFO: Epoch: [178] [560/732] learning_rate: 0.063787 loss_vfl: 1.057312 loss_bbox: 0.536744 loss_dfl: 0.446808 loss: 2.056688 eta: 1 day, 3:22:56 batch_cost: 1.1486 data_cost: 0.0070 ips: 34.8252 images/s
[07/28 12:33:15] ppdet.engine INFO: Epoch: [178] [580/732] learning_rate: 0.063762 loss_vfl: 1.117189 loss_bbox: 0.569394 loss_dfl: 0.479439 loss: 2.190024 eta: 1 day, 3:22:33 batch_cost: 1.0194 data_cost: 0.0145 ips: 39.2372 images/s
[07/28 12:33:41] ppdet.engine INFO: Epoch: [178] [600/732] learning_rate: 0.063736 loss_vfl: 1.128997 loss_bbox: 0.554620 loss_dfl: 0.475947 loss: 2.129557 eta: 1 day, 3:22:09 batch_cost: 1.0022 data_cost: 0.0150 ips: 39.9115 images/s
[07/28 12:34:10] ppdet.engine INFO: Epoch: [178] [620/732] learning_rate: 0.063710 loss_vfl: 1.081305 loss_bbox: 0.560293 loss_dfl: 0.464981 loss: 2.110320 eta: 1 day, 3:21:47 batch_cost: 1.1643 data_cost: 0.0019 ips: 34.3541 images/s
[07/28 12:34:35] ppdet.engine INFO: Epoch: [178] [640/732] learning_rate: 0.063684 loss_vfl: 1.112168 loss_bbox: 0.544928 loss_dfl: 0.471712 loss: 2.151179 eta: 1 day, 3:21:24 batch_cost: 1.0278 data_cost: 0.0039 ips: 38.9179 images/s
[07/28 12:35:00] ppdet.engine INFO: Epoch: [178] [660/732] learning_rate: 0.063658 loss_vfl: 1.127153 loss_bbox: 0.568724 loss_dfl: 0.472568 loss: 2.178600 eta: 1 day, 3:21:00 batch_cost: 0.9630 data_cost: 0.0060 ips: 41.5367 images/s
[07/28 12:35:27] ppdet.engine INFO: Epoch: [178] [680/732] learning_rate: 0.063632 loss_vfl: 1.121948 loss_bbox: 0.559132 loss_dfl: 0.477154 loss: 2.179163 eta: 1 day, 3:20:38 batch_cost: 1.1629 data_cost: 0.0190 ips: 34.3979 images/s
[07/28 12:35:53] ppdet.engine INFO: Epoch: [178] [700/732] learning_rate: 0.063607 loss_vfl: 1.021886 loss_bbox: 0.545644 loss_dfl: 0.458535 loss: 2.018799 eta: 1 day, 3:20:15 batch_cost: 1.0482 data_cost: 0.0067 ips: 38.1621 images/s
[07/28 12:36:22] ppdet.engine INFO: Epoch: [178] [720/732] learning_rate: 0.063581 loss_vfl: 1.121674 loss_bbox: 0.576796 loss_dfl: 0.482334 loss: 2.163287 eta: 1 day, 3:19:54 batch_cost: 1.1828 data_cost: 0.0078 ips: 33.8187 images/s
[07/28 12:36:42] ppdet.engine INFO: Epoch: [179] [  0/732] learning_rate: 0.063565 loss_vfl: 1.108675 loss_bbox: 0.570711 loss_dfl: 0.474610 loss: 2.153813 eta: 1 day, 3:19:44 batch_cost: 1.3230 data_cost: 0.4236 ips: 30.2337 images/s
[07/28 12:37:12] ppdet.engine INFO: Epoch: [179] [ 20/732] learning_rate: 0.063539 loss_vfl: 1.097501 loss_bbox: 0.569340 loss_dfl: 0.468231 loss: 2.142397 eta: 1 day, 3:19:22 batch_cost: 1.1808 data_cost: 0.0102 ips: 33.8758 images/s
[07/28 12:37:37] ppdet.engine INFO: Epoch: [179] [ 40/732] learning_rate: 0.063514 loss_vfl: 1.071164 loss_bbox: 0.544708 loss_dfl: 0.452974 loss: 2.066549 eta: 1 day, 3:18:58 batch_cost: 0.9686 data_cost: 0.0139 ips: 41.2960 images/s
[07/28 12:38:04] ppdet.engine INFO: Epoch: [179] [ 60/732] learning_rate: 0.063488 loss_vfl: 1.095386 loss_bbox: 0.549342 loss_dfl: 0.461190 loss: 2.108608 eta: 1 day, 3:18:36 batch_cost: 1.0857 data_cost: 0.0077 ips: 36.8417 images/s
[07/28 12:38:31] ppdet.engine INFO: Epoch: [179] [ 80/732] learning_rate: 0.063462 loss_vfl: 1.126680 loss_bbox: 0.573968 loss_dfl: 0.482813 loss: 2.167822 eta: 1 day, 3:18:13 batch_cost: 1.0766 data_cost: 0.0060 ips: 37.1523 images/s
[07/28 12:38:56] ppdet.engine INFO: Epoch: [179] [100/732] learning_rate: 0.063436 loss_vfl: 1.132178 loss_bbox: 0.582541 loss_dfl: 0.481337 loss: 2.218911 eta: 1 day, 3:17:50 batch_cost: 1.0475 data_cost: 0.0043 ips: 38.1876 images/s
[07/28 12:39:22] ppdet.engine INFO: Epoch: [179] [120/732] learning_rate: 0.063411 loss_vfl: 1.073910 loss_bbox: 0.551109 loss_dfl: 0.458159 loss: 2.070924 eta: 1 day, 3:17:26 batch_cost: 0.9917 data_cost: 0.0073 ips: 40.3364 images/s
[07/28 12:39:50] ppdet.engine INFO: Epoch: [179] [140/732] learning_rate: 0.063385 loss_vfl: 1.021628 loss_bbox: 0.521756 loss_dfl: 0.441947 loss: 1.987026 eta: 1 day, 3:17:04 batch_cost: 1.0820 data_cost: 0.0064 ips: 36.9696 images/s
[07/28 12:40:15] ppdet.engine INFO: Epoch: [179] [160/732] learning_rate: 0.063359 loss_vfl: 1.031950 loss_bbox: 0.528192 loss_dfl: 0.436244 loss: 1.991906 eta: 1 day, 3:16:40 batch_cost: 1.0488 data_cost: 0.0099 ips: 38.1388 images/s
[07/28 12:40:42] ppdet.engine INFO: Epoch: [179] [180/732] learning_rate: 0.063333 loss_vfl: 1.121386 loss_bbox: 0.571341 loss_dfl: 0.478876 loss: 2.178134 eta: 1 day, 3:16:17 batch_cost: 1.0420 data_cost: 0.0063 ips: 38.3888 images/s
[07/28 12:41:07] ppdet.engine INFO: Epoch: [179] [200/732] learning_rate: 0.063308 loss_vfl: 1.125541 loss_bbox: 0.562072 loss_dfl: 0.480339 loss: 2.196887 eta: 1 day, 3:15:53 batch_cost: 0.9796 data_cost: 0.0084 ips: 40.8341 images/s
[07/28 12:41:34] ppdet.engine INFO: Epoch: [179] [220/732] learning_rate: 0.063282 loss_vfl: 1.064738 loss_bbox: 0.549281 loss_dfl: 0.450356 loss: 2.059552 eta: 1 day, 3:15:31 batch_cost: 1.0949 data_cost: 0.0087 ips: 36.5322 images/s
[07/28 12:42:00] ppdet.engine INFO: Epoch: [179] [240/732] learning_rate: 0.063256 loss_vfl: 1.086399 loss_bbox: 0.557012 loss_dfl: 0.465656 loss: 2.111303 eta: 1 day, 3:15:07 batch_cost: 0.9914 data_cost: 0.0003 ips: 40.3481 images/s
[07/28 12:42:26] ppdet.engine INFO: Epoch: [179] [260/732] learning_rate: 0.063230 loss_vfl: 1.107597 loss_bbox: 0.557823 loss_dfl: 0.468001 loss: 2.141169 eta: 1 day, 3:14:44 batch_cost: 1.0524 data_cost: 0.0061 ips: 38.0068 images/s
[07/28 12:42:51] ppdet.engine INFO: Epoch: [179] [280/732] learning_rate: 0.063205 loss_vfl: 1.102371 loss_bbox: 0.564023 loss_dfl: 0.469601 loss: 2.150154 eta: 1 day, 3:14:21 batch_cost: 1.0242 data_cost: 0.0045 ips: 39.0565 images/s
[07/28 12:43:18] ppdet.engine INFO: Epoch: [179] [300/732] learning_rate: 0.063179 loss_vfl: 1.083130 loss_bbox: 0.535309 loss_dfl: 0.445450 loss: 2.044770 eta: 1 day, 3:13:58 batch_cost: 1.0918 data_cost: 0.0085 ips: 36.6374 images/s
[07/28 12:43:44] ppdet.engine INFO: Epoch: [179] [320/732] learning_rate: 0.063153 loss_vfl: 1.104034 loss_bbox: 0.569950 loss_dfl: 0.472929 loss: 2.132926 eta: 1 day, 3:13:36 batch_cost: 1.1158 data_cost: 0.0055 ips: 35.8487 images/s
[07/28 12:44:10] ppdet.engine INFO: Epoch: [179] [340/732] learning_rate: 0.063127 loss_vfl: 1.095315 loss_bbox: 0.569851 loss_dfl: 0.470015 loss: 2.130868 eta: 1 day, 3:13:13 batch_cost: 1.0292 data_cost: 0.0044 ips: 38.8650 images/s
[07/28 12:44:37] ppdet.engine INFO: Epoch: [179] [360/732] learning_rate: 0.063102 loss_vfl: 1.130665 loss_bbox: 0.561747 loss_dfl: 0.473622 loss: 2.177269 eta: 1 day, 3:12:51 batch_cost: 1.1214 data_cost: 0.0078 ips: 35.6711 images/s
[07/28 12:45:03] ppdet.engine INFO: Epoch: [179] [380/732] learning_rate: 0.063076 loss_vfl: 1.049155 loss_bbox: 0.552795 loss_dfl: 0.458227 loss: 2.070356 eta: 1 day, 3:12:28 batch_cost: 1.0941 data_cost: 0.0041 ips: 36.5600 images/s
[07/28 12:45:29] ppdet.engine INFO: Epoch: [179] [400/732] learning_rate: 0.063050 loss_vfl: 1.075563 loss_bbox: 0.562984 loss_dfl: 0.461413 loss: 2.117212 eta: 1 day, 3:12:05 batch_cost: 0.9938 data_cost: 0.0079 ips: 40.2490 images/s
[07/28 12:45:56] ppdet.engine INFO: Epoch: [179] [420/732] learning_rate: 0.063024 loss_vfl: 1.125975 loss_bbox: 0.561067 loss_dfl: 0.479888 loss: 2.148414 eta: 1 day, 3:11:42 batch_cost: 1.0805 data_cost: 0.0048 ips: 37.0182 images/s
[07/28 12:46:22] ppdet.engine INFO: Epoch: [179] [440/732] learning_rate: 0.062999 loss_vfl: 1.116691 loss_bbox: 0.563921 loss_dfl: 0.476502 loss: 2.141248 eta: 1 day, 3:11:19 batch_cost: 1.0654 data_cost: 0.0044 ips: 37.5442 images/s
[07/28 12:46:49] ppdet.engine INFO: Epoch: [179] [460/732] learning_rate: 0.062973 loss_vfl: 1.092634 loss_bbox: 0.567411 loss_dfl: 0.479514 loss: 2.139910 eta: 1 day, 3:10:55 batch_cost: 0.9770 data_cost: 0.0119 ips: 40.9430 images/s
[07/28 12:47:17] ppdet.engine INFO: Epoch: [179] [480/732] learning_rate: 0.062947 loss_vfl: 1.081557 loss_bbox: 0.543853 loss_dfl: 0.456653 loss: 2.073925 eta: 1 day, 3:10:32 batch_cost: 1.0485 data_cost: 0.1134 ips: 38.1479 images/s
[07/28 12:47:44] ppdet.engine INFO: Epoch: [179] [500/732] learning_rate: 0.062922 loss_vfl: 1.135426 loss_bbox: 0.573261 loss_dfl: 0.481115 loss: 2.187838 eta: 1 day, 3:10:10 batch_cost: 1.1158 data_cost: 0.2316 ips: 35.8475 images/s
[07/28 12:48:09] ppdet.engine INFO: Epoch: [179] [520/732] learning_rate: 0.062896 loss_vfl: 1.108615 loss_bbox: 0.573387 loss_dfl: 0.477063 loss: 2.148705 eta: 1 day, 3:09:48 batch_cost: 1.1222 data_cost: 0.0188 ips: 35.6428 images/s
[07/28 12:48:35] ppdet.engine INFO: Epoch: [179] [540/732] learning_rate: 0.062870 loss_vfl: 1.069087 loss_bbox: 0.565686 loss_dfl: 0.474207 loss: 2.108670 eta: 1 day, 3:09:25 batch_cost: 1.0776 data_cost: 0.0049 ips: 37.1208 images/s
[07/28 12:48:59] ppdet.engine INFO: Epoch: [179] [560/732] learning_rate: 0.062845 loss_vfl: 1.038375 loss_bbox: 0.543340 loss_dfl: 0.454981 loss: 2.052079 eta: 1 day, 3:09:01 batch_cost: 0.9263 data_cost: 0.0052 ips: 43.1835 images/s
[07/28 12:49:24] ppdet.engine INFO: Epoch: [179] [580/732] learning_rate: 0.062819 loss_vfl: 1.095342 loss_bbox: 0.542987 loss_dfl: 0.458664 loss: 2.093171 eta: 1 day, 3:08:37 batch_cost: 1.0042 data_cost: 0.0029 ips: 39.8316 images/s
[07/28 12:49:52] ppdet.engine INFO: Epoch: [179] [600/732] learning_rate: 0.062793 loss_vfl: 1.103164 loss_bbox: 0.550265 loss_dfl: 0.470396 loss: 2.129853 eta: 1 day, 3:08:16 batch_cost: 1.2414 data_cost: 0.0284 ips: 32.2215 images/s
[07/28 12:50:20] ppdet.engine INFO: Epoch: [179] [620/732] learning_rate: 0.062768 loss_vfl: 1.146385 loss_bbox: 0.575007 loss_dfl: 0.494253 loss: 2.238976 eta: 1 day, 3:07:55 batch_cost: 1.1519 data_cost: 0.0108 ips: 34.7260 images/s
[07/28 12:50:45] ppdet.engine INFO: Epoch: [179] [640/732] learning_rate: 0.062742 loss_vfl: 1.096346 loss_bbox: 0.574816 loss_dfl: 0.472032 loss: 2.168933 eta: 1 day, 3:07:31 batch_cost: 0.9944 data_cost: 0.0038 ips: 40.2248 images/s
[07/28 12:51:11] ppdet.engine INFO: Epoch: [179] [660/732] learning_rate: 0.062716 loss_vfl: 1.042878 loss_bbox: 0.540385 loss_dfl: 0.452456 loss: 2.011192 eta: 1 day, 3:07:07 batch_cost: 0.9526 data_cost: 0.0032 ips: 41.9915 images/s
[07/28 12:51:38] ppdet.engine INFO: Epoch: [179] [680/732] learning_rate: 0.062691 loss_vfl: 1.091616 loss_bbox: 0.541595 loss_dfl: 0.466435 loss: 2.110748 eta: 1 day, 3:06:44 batch_cost: 1.0533 data_cost: 0.0138 ips: 37.9750 images/s
[07/28 12:52:04] ppdet.engine INFO: Epoch: [179] [700/732] learning_rate: 0.062665 loss_vfl: 1.104140 loss_bbox: 0.574128 loss_dfl: 0.465942 loss: 2.162103 eta: 1 day, 3:06:21 batch_cost: 1.0644 data_cost: 0.0050 ips: 37.5813 images/s
[07/28 12:52:29] ppdet.engine INFO: Epoch: [179] [720/732] learning_rate: 0.062639 loss_vfl: 1.113827 loss_bbox: 0.574450 loss_dfl: 0.486746 loss: 2.198057 eta: 1 day, 3:05:58 batch_cost: 1.0405 data_cost: 0.0200 ips: 38.4439 images/s
[07/28 12:52:40] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 12:52:40] ppdet.engine INFO: Eval iter: 0
[07/28 12:53:02] ppdet.engine INFO: Eval iter: 100
[07/28 12:53:12] ppdet.engine INFO: Eval iter: 200
[07/28 12:53:22] ppdet.engine INFO: Eval iter: 300
[07/28 12:53:33] ppdet.engine INFO: Eval iter: 400
[07/28 12:53:43] ppdet.engine INFO: Eval iter: 500
[07/28 12:53:54] ppdet.engine INFO: Eval iter: 600
[07/28 12:54:10] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.65s)
creating index...
index created!
[07/28 12:54:11] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.03s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.91s).
Accumulating evaluation results...
DONE (t=18.88s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.273
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.407
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.292
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.103
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.291
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.420
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.262
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.429
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.458
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.196
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.509
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.686
[07/28 12:56:17] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.10927486275213
[07/28 12:56:17] ppdet.engine INFO: Best test bbox ap is 0.273.
[07/28 12:56:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 12:56:18] ppdet.engine INFO: Epoch: [180] [  0/732] learning_rate: 0.062624 loss_vfl: 1.068850 loss_bbox: 0.551913 loss_dfl: 0.465914 loss: 2.108205 eta: 1 day, 3:05:41 batch_cost: 0.8144 data_cost: 0.0177 ips: 49.1170 images/s
[07/28 12:56:45] ppdet.engine INFO: Epoch: [180] [ 20/732] learning_rate: 0.062598 loss_vfl: 1.087521 loss_bbox: 0.578254 loss_dfl: 0.471363 loss: 2.131953 eta: 1 day, 3:05:18 batch_cost: 1.0877 data_cost: 0.0062 ips: 36.7752 images/s
[07/28 12:57:12] ppdet.engine INFO: Epoch: [180] [ 40/732] learning_rate: 0.062573 loss_vfl: 1.102058 loss_bbox: 0.557991 loss_dfl: 0.466671 loss: 2.105710 eta: 1 day, 3:04:57 batch_cost: 1.1893 data_cost: 0.0049 ips: 33.6321 images/s
[07/28 12:57:37] ppdet.engine INFO: Epoch: [180] [ 60/732] learning_rate: 0.062547 loss_vfl: 1.053312 loss_bbox: 0.559276 loss_dfl: 0.465641 loss: 2.073300 eta: 1 day, 3:04:34 batch_cost: 1.0583 data_cost: 0.0054 ips: 37.7980 images/s
[07/28 12:58:05] ppdet.engine INFO: Epoch: [180] [ 80/732] learning_rate: 0.062522 loss_vfl: 1.076234 loss_bbox: 0.562375 loss_dfl: 0.470522 loss: 2.115378 eta: 1 day, 3:04:12 batch_cost: 1.1371 data_cost: 0.0077 ips: 35.1771 images/s
[07/28 12:58:30] ppdet.engine INFO: Epoch: [180] [100/732] learning_rate: 0.062496 loss_vfl: 1.104234 loss_bbox: 0.571502 loss_dfl: 0.481477 loss: 2.147854 eta: 1 day, 3:03:48 batch_cost: 0.9725 data_cost: 0.0029 ips: 41.1295 images/s
[07/28 12:58:57] ppdet.engine INFO: Epoch: [180] [120/732] learning_rate: 0.062470 loss_vfl: 1.066088 loss_bbox: 0.550483 loss_dfl: 0.465529 loss: 2.070080 eta: 1 day, 3:03:27 batch_cost: 1.1823 data_cost: 0.0037 ips: 33.8320 images/s
[07/28 12:59:23] ppdet.engine INFO: Epoch: [180] [140/732] learning_rate: 0.062445 loss_vfl: 1.072460 loss_bbox: 0.549799 loss_dfl: 0.467452 loss: 2.132317 eta: 1 day, 3:03:04 batch_cost: 1.0515 data_cost: 0.0039 ips: 38.0396 images/s
[07/28 12:59:49] ppdet.engine INFO: Epoch: [180] [160/732] learning_rate: 0.062419 loss_vfl: 1.079649 loss_bbox: 0.548605 loss_dfl: 0.459649 loss: 2.077256 eta: 1 day, 3:02:42 batch_cost: 1.0946 data_cost: 0.0087 ips: 36.5417 images/s
[07/28 13:00:15] ppdet.engine INFO: Epoch: [180] [180/732] learning_rate: 0.062394 loss_vfl: 1.053843 loss_bbox: 0.519925 loss_dfl: 0.450184 loss: 2.023919 eta: 1 day, 3:02:20 batch_cost: 1.1187 data_cost: 0.0061 ips: 35.7571 images/s
[07/28 13:00:41] ppdet.engine INFO: Epoch: [180] [200/732] learning_rate: 0.062368 loss_vfl: 1.088790 loss_bbox: 0.550923 loss_dfl: 0.470407 loss: 2.120463 eta: 1 day, 3:01:57 batch_cost: 1.0921 data_cost: 0.0141 ips: 36.6269 images/s
[07/28 13:01:07] ppdet.engine INFO: Epoch: [180] [220/732] learning_rate: 0.062342 loss_vfl: 1.105124 loss_bbox: 0.561018 loss_dfl: 0.481530 loss: 2.151940 eta: 1 day, 3:01:34 batch_cost: 1.0326 data_cost: 0.0072 ips: 38.7354 images/s
[07/28 13:01:34] ppdet.engine INFO: Epoch: [180] [240/732] learning_rate: 0.062317 loss_vfl: 1.069456 loss_bbox: 0.534582 loss_dfl: 0.450477 loss: 2.044407 eta: 1 day, 3:01:13 batch_cost: 1.1828 data_cost: 0.0112 ips: 33.8183 images/s
[07/28 13:02:03] ppdet.engine INFO: Epoch: [180] [260/732] learning_rate: 0.062291 loss_vfl: 1.040994 loss_bbox: 0.540195 loss_dfl: 0.445470 loss: 2.013670 eta: 1 day, 3:00:53 batch_cost: 1.2697 data_cost: 0.0050 ips: 31.5036 images/s
[07/28 13:02:30] ppdet.engine INFO: Epoch: [180] [280/732] learning_rate: 0.062266 loss_vfl: 1.036357 loss_bbox: 0.556900 loss_dfl: 0.460617 loss: 2.059453 eta: 1 day, 3:00:31 batch_cost: 1.1496 data_cost: 0.0048 ips: 34.7950 images/s
[07/28 13:02:57] ppdet.engine INFO: Epoch: [180] [300/732] learning_rate: 0.062240 loss_vfl: 1.068369 loss_bbox: 0.546499 loss_dfl: 0.460469 loss: 2.074399 eta: 1 day, 3:00:09 batch_cost: 1.1410 data_cost: 0.0092 ips: 35.0564 images/s
[07/28 13:03:23] ppdet.engine INFO: Epoch: [180] [320/732] learning_rate: 0.062215 loss_vfl: 1.065623 loss_bbox: 0.550891 loss_dfl: 0.461864 loss: 2.087368 eta: 1 day, 2:59:47 batch_cost: 1.0877 data_cost: 0.0069 ips: 36.7754 images/s
[07/28 13:03:48] ppdet.engine INFO: Epoch: [180] [340/732] learning_rate: 0.062189 loss_vfl: 1.088624 loss_bbox: 0.562219 loss_dfl: 0.469569 loss: 2.114625 eta: 1 day, 2:59:23 batch_cost: 1.0185 data_cost: 0.0090 ips: 39.2736 images/s
[07/28 13:04:15] ppdet.engine INFO: Epoch: [180] [360/732] learning_rate: 0.062163 loss_vfl: 1.084895 loss_bbox: 0.554695 loss_dfl: 0.465863 loss: 2.097201 eta: 1 day, 2:59:00 batch_cost: 1.0396 data_cost: 0.0139 ips: 38.4757 images/s
[07/28 13:04:41] ppdet.engine INFO: Epoch: [180] [380/732] learning_rate: 0.062138 loss_vfl: 1.066754 loss_bbox: 0.557663 loss_dfl: 0.459423 loss: 2.072780 eta: 1 day, 2:58:37 batch_cost: 1.0510 data_cost: 0.0233 ips: 38.0605 images/s
[07/28 13:05:08] ppdet.engine INFO: Epoch: [180] [400/732] learning_rate: 0.062112 loss_vfl: 1.107210 loss_bbox: 0.575076 loss_dfl: 0.478773 loss: 2.167809 eta: 1 day, 2:58:16 batch_cost: 1.1668 data_cost: 0.0032 ips: 34.2812 images/s
[07/28 13:05:34] ppdet.engine INFO: Epoch: [180] [420/732] learning_rate: 0.062087 loss_vfl: 1.082392 loss_bbox: 0.547226 loss_dfl: 0.462027 loss: 2.068321 eta: 1 day, 2:57:53 batch_cost: 1.1005 data_cost: 0.0066 ips: 36.3459 images/s
[07/28 13:05:59] ppdet.engine INFO: Epoch: [180] [440/732] learning_rate: 0.062061 loss_vfl: 1.062419 loss_bbox: 0.547584 loss_dfl: 0.454612 loss: 2.081300 eta: 1 day, 2:57:29 batch_cost: 0.9819 data_cost: 0.0132 ips: 40.7390 images/s
[07/28 13:06:27] ppdet.engine INFO: Epoch: [180] [460/732] learning_rate: 0.062036 loss_vfl: 1.115707 loss_bbox: 0.584972 loss_dfl: 0.484752 loss: 2.181671 eta: 1 day, 2:57:08 batch_cost: 1.2150 data_cost: 0.0118 ips: 32.9227 images/s
[07/28 13:06:52] ppdet.engine INFO: Epoch: [180] [480/732] learning_rate: 0.062010 loss_vfl: 1.140057 loss_bbox: 0.589208 loss_dfl: 0.488163 loss: 2.237746 eta: 1 day, 2:56:46 batch_cost: 1.1008 data_cost: 0.0070 ips: 36.3359 images/s
[07/28 13:07:20] ppdet.engine INFO: Epoch: [180] [500/732] learning_rate: 0.061985 loss_vfl: 1.129108 loss_bbox: 0.582646 loss_dfl: 0.488268 loss: 2.211904 eta: 1 day, 2:56:24 batch_cost: 1.0886 data_cost: 0.0048 ips: 36.7449 images/s
[07/28 13:07:47] ppdet.engine INFO: Epoch: [180] [520/732] learning_rate: 0.061959 loss_vfl: 1.139910 loss_bbox: 0.559905 loss_dfl: 0.473118 loss: 2.166842 eta: 1 day, 2:56:01 batch_cost: 1.0671 data_cost: 0.0087 ips: 37.4848 images/s
[07/28 13:08:12] ppdet.engine INFO: Epoch: [180] [540/732] learning_rate: 0.061934 loss_vfl: 1.119293 loss_bbox: 0.577741 loss_dfl: 0.472286 loss: 2.190916 eta: 1 day, 2:55:37 batch_cost: 1.0040 data_cost: 0.0048 ips: 39.8410 images/s
[07/28 13:08:40] ppdet.engine INFO: Epoch: [180] [560/732] learning_rate: 0.061908 loss_vfl: 1.074310 loss_bbox: 0.526271 loss_dfl: 0.450591 loss: 2.027942 eta: 1 day, 2:55:15 batch_cost: 1.0790 data_cost: 0.0131 ips: 37.0713 images/s
[07/28 13:09:06] ppdet.engine INFO: Epoch: [180] [580/732] learning_rate: 0.061883 loss_vfl: 1.102131 loss_bbox: 0.566702 loss_dfl: 0.477426 loss: 2.154047 eta: 1 day, 2:54:52 batch_cost: 1.1142 data_cost: 0.0088 ips: 35.8995 images/s
[07/28 13:09:32] ppdet.engine INFO: Epoch: [180] [600/732] learning_rate: 0.061857 loss_vfl: 1.107677 loss_bbox: 0.563030 loss_dfl: 0.481461 loss: 2.163131 eta: 1 day, 2:54:29 batch_cost: 1.0187 data_cost: 0.0101 ips: 39.2639 images/s
[07/28 13:09:58] ppdet.engine INFO: Epoch: [180] [620/732] learning_rate: 0.061832 loss_vfl: 1.060811 loss_bbox: 0.553408 loss_dfl: 0.459990 loss: 2.100390 eta: 1 day, 2:54:06 batch_cost: 1.0238 data_cost: 0.0065 ips: 39.0720 images/s
[07/28 13:10:23] ppdet.engine INFO: Epoch: [180] [640/732] learning_rate: 0.061806 loss_vfl: 1.110825 loss_bbox: 0.555568 loss_dfl: 0.471450 loss: 2.156967 eta: 1 day, 2:53:42 batch_cost: 1.0060 data_cost: 0.0100 ips: 39.7611 images/s
[07/28 13:10:51] ppdet.engine INFO: Epoch: [180] [660/732] learning_rate: 0.061781 loss_vfl: 1.117497 loss_bbox: 0.577065 loss_dfl: 0.478284 loss: 2.159280 eta: 1 day, 2:53:20 batch_cost: 1.0966 data_cost: 0.0080 ips: 36.4764 images/s
[07/28 13:11:18] ppdet.engine INFO: Epoch: [180] [680/732] learning_rate: 0.061755 loss_vfl: 1.083788 loss_bbox: 0.555727 loss_dfl: 0.458782 loss: 2.103949 eta: 1 day, 2:52:59 batch_cost: 1.1874 data_cost: 0.0039 ips: 33.6873 images/s
[07/28 13:11:46] ppdet.engine INFO: Epoch: [180] [700/732] learning_rate: 0.061730 loss_vfl: 1.098004 loss_bbox: 0.556464 loss_dfl: 0.465735 loss: 2.125988 eta: 1 day, 2:52:37 batch_cost: 1.1458 data_cost: 0.0127 ips: 34.9113 images/s
[07/28 13:12:11] ppdet.engine INFO: Epoch: [180] [720/732] learning_rate: 0.061704 loss_vfl: 1.131591 loss_bbox: 0.603885 loss_dfl: 0.499045 loss: 2.255328 eta: 1 day, 2:52:14 batch_cost: 1.0782 data_cost: 0.0079 ips: 37.0988 images/s
[07/28 13:12:29] ppdet.engine INFO: Epoch: [181] [  0/732] learning_rate: 0.061689 loss_vfl: 1.124629 loss_bbox: 0.602339 loss_dfl: 0.496251 loss: 2.249132 eta: 1 day, 2:52:02 batch_cost: 1.1896 data_cost: 0.3132 ips: 33.6260 images/s
[07/28 13:12:48] ppdet.engine INFO: Epoch: [181] [ 20/732] learning_rate: 0.061664 loss_vfl: 0.989586 loss_bbox: 0.472943 loss_dfl: 0.410661 loss: 1.872577 eta: 1 day, 2:51:36 batch_cost: 0.8201 data_cost: 0.0016 ips: 48.7739 images/s
[07/28 13:13:06] ppdet.engine INFO: Epoch: [181] [ 40/732] learning_rate: 0.061638 loss_vfl: 1.002344 loss_bbox: 0.473836 loss_dfl: 0.431962 loss: 1.932222 eta: 1 day, 2:51:08 batch_cost: 0.7081 data_cost: 0.0020 ips: 56.4907 images/s
[07/28 13:13:23] ppdet.engine INFO: Epoch: [181] [ 60/732] learning_rate: 0.061613 loss_vfl: 1.024698 loss_bbox: 0.473052 loss_dfl: 0.431978 loss: 1.916492 eta: 1 day, 2:50:40 batch_cost: 0.6938 data_cost: 0.0035 ips: 57.6564 images/s
[07/28 13:13:40] ppdet.engine INFO: Epoch: [181] [ 80/732] learning_rate: 0.061587 loss_vfl: 0.952906 loss_bbox: 0.435627 loss_dfl: 0.405591 loss: 1.826481 eta: 1 day, 2:50:13 batch_cost: 0.7112 data_cost: 0.0021 ips: 56.2401 images/s
[07/28 13:13:58] ppdet.engine INFO: Epoch: [181] [100/732] learning_rate: 0.061562 loss_vfl: 0.966740 loss_bbox: 0.462033 loss_dfl: 0.417880 loss: 1.847159 eta: 1 day, 2:49:46 batch_cost: 0.7195 data_cost: 0.0032 ips: 55.5917 images/s
[07/28 13:14:14] ppdet.engine INFO: Epoch: [181] [120/732] learning_rate: 0.061536 loss_vfl: 0.968611 loss_bbox: 0.477398 loss_dfl: 0.412340 loss: 1.826229 eta: 1 day, 2:49:19 batch_cost: 0.7302 data_cost: 0.0016 ips: 54.7822 images/s
[07/28 13:14:32] ppdet.engine INFO: Epoch: [181] [140/732] learning_rate: 0.061511 loss_vfl: 0.992542 loss_bbox: 0.427244 loss_dfl: 0.411754 loss: 1.876178 eta: 1 day, 2:48:52 batch_cost: 0.7453 data_cost: 0.0008 ips: 53.6709 images/s
[07/28 13:14:49] ppdet.engine INFO: Epoch: [181] [160/732] learning_rate: 0.061485 loss_vfl: 1.026353 loss_bbox: 0.485404 loss_dfl: 0.437800 loss: 1.966714 eta: 1 day, 2:48:24 batch_cost: 0.6896 data_cost: 0.0005 ips: 58.0020 images/s
[07/28 13:15:06] ppdet.engine INFO: Epoch: [181] [180/732] learning_rate: 0.061460 loss_vfl: 1.012546 loss_bbox: 0.472097 loss_dfl: 0.420906 loss: 1.885468 eta: 1 day, 2:47:56 batch_cost: 0.6953 data_cost: 0.0021 ips: 57.5278 images/s
[07/28 13:15:23] ppdet.engine INFO: Epoch: [181] [200/732] learning_rate: 0.061435 loss_vfl: 0.923969 loss_bbox: 0.436850 loss_dfl: 0.395991 loss: 1.745003 eta: 1 day, 2:47:28 batch_cost: 0.6893 data_cost: 0.0019 ips: 58.0288 images/s
[07/28 13:15:40] ppdet.engine INFO: Epoch: [181] [220/732] learning_rate: 0.061409 loss_vfl: 0.957831 loss_bbox: 0.474590 loss_dfl: 0.422670 loss: 1.867773 eta: 1 day, 2:47:01 batch_cost: 0.7100 data_cost: 0.0023 ips: 56.3352 images/s
[07/28 13:15:57] ppdet.engine INFO: Epoch: [181] [240/732] learning_rate: 0.061384 loss_vfl: 1.056750 loss_bbox: 0.497804 loss_dfl: 0.450079 loss: 1.997162 eta: 1 day, 2:46:33 batch_cost: 0.6711 data_cost: 0.0016 ips: 59.6031 images/s
[07/28 13:16:13] ppdet.engine INFO: Epoch: [181] [260/732] learning_rate: 0.061358 loss_vfl: 0.966761 loss_bbox: 0.466127 loss_dfl: 0.413438 loss: 1.847998 eta: 1 day, 2:46:05 batch_cost: 0.6829 data_cost: 0.0003 ips: 58.5758 images/s
[07/28 13:16:30] ppdet.engine INFO: Epoch: [181] [280/732] learning_rate: 0.061333 loss_vfl: 1.001117 loss_bbox: 0.472462 loss_dfl: 0.428381 loss: 1.927580 eta: 1 day, 2:45:38 batch_cost: 0.7358 data_cost: 0.0022 ips: 54.3606 images/s
[07/28 13:16:48] ppdet.engine INFO: Epoch: [181] [300/732] learning_rate: 0.061308 loss_vfl: 1.009105 loss_bbox: 0.450613 loss_dfl: 0.409668 loss: 1.831450 eta: 1 day, 2:45:11 batch_cost: 0.7503 data_cost: 0.0003 ips: 53.3096 images/s
[07/28 13:17:05] ppdet.engine INFO: Epoch: [181] [320/732] learning_rate: 0.061282 loss_vfl: 1.005202 loss_bbox: 0.474973 loss_dfl: 0.426496 loss: 1.902663 eta: 1 day, 2:44:44 batch_cost: 0.7159 data_cost: 0.0026 ips: 55.8744 images/s
[07/28 13:17:23] ppdet.engine INFO: Epoch: [181] [340/732] learning_rate: 0.061257 loss_vfl: 0.965794 loss_bbox: 0.452354 loss_dfl: 0.410195 loss: 1.826304 eta: 1 day, 2:44:17 batch_cost: 0.7491 data_cost: 0.0016 ips: 53.3968 images/s
[07/28 13:17:40] ppdet.engine INFO: Epoch: [181] [360/732] learning_rate: 0.061232 loss_vfl: 0.971745 loss_bbox: 0.457948 loss_dfl: 0.425748 loss: 1.864246 eta: 1 day, 2:43:50 batch_cost: 0.7181 data_cost: 0.0008 ips: 55.6987 images/s
[07/28 13:17:58] ppdet.engine INFO: Epoch: [181] [380/732] learning_rate: 0.061206 loss_vfl: 0.980026 loss_bbox: 0.472465 loss_dfl: 0.422719 loss: 1.861281 eta: 1 day, 2:43:23 batch_cost: 0.7183 data_cost: 0.0010 ips: 55.6903 images/s
[07/28 13:18:15] ppdet.engine INFO: Epoch: [181] [400/732] learning_rate: 0.061181 loss_vfl: 1.015064 loss_bbox: 0.481119 loss_dfl: 0.436357 loss: 1.930854 eta: 1 day, 2:42:55 batch_cost: 0.7255 data_cost: 0.0013 ips: 55.1381 images/s
[07/28 13:18:32] ppdet.engine INFO: Epoch: [181] [420/732] learning_rate: 0.061155 loss_vfl: 0.967701 loss_bbox: 0.450552 loss_dfl: 0.396573 loss: 1.768505 eta: 1 day, 2:42:28 batch_cost: 0.7016 data_cost: 0.0020 ips: 57.0103 images/s
[07/28 13:18:49] ppdet.engine INFO: Epoch: [181] [440/732] learning_rate: 0.061130 loss_vfl: 0.905782 loss_bbox: 0.426131 loss_dfl: 0.389517 loss: 1.728925 eta: 1 day, 2:42:00 batch_cost: 0.7001 data_cost: 0.0029 ips: 57.1309 images/s
[07/28 13:19:05] ppdet.engine INFO: Epoch: [181] [460/732] learning_rate: 0.061105 loss_vfl: 1.048892 loss_bbox: 0.519464 loss_dfl: 0.449892 loss: 2.033775 eta: 1 day, 2:41:32 batch_cost: 0.6480 data_cost: 0.0011 ips: 61.7268 images/s
[07/28 13:19:22] ppdet.engine INFO: Epoch: [181] [480/732] learning_rate: 0.061079 loss_vfl: 1.016823 loss_bbox: 0.460560 loss_dfl: 0.422185 loss: 1.916954 eta: 1 day, 2:41:05 batch_cost: 0.7032 data_cost: 0.0034 ips: 56.8807 images/s
[07/28 13:19:40] ppdet.engine INFO: Epoch: [181] [500/732] learning_rate: 0.061054 loss_vfl: 0.972411 loss_bbox: 0.443144 loss_dfl: 0.405474 loss: 1.823269 eta: 1 day, 2:40:38 batch_cost: 0.7318 data_cost: 0.0013 ips: 54.6605 images/s
[07/28 13:19:56] ppdet.engine INFO: Epoch: [181] [520/732] learning_rate: 0.061029 loss_vfl: 1.011804 loss_bbox: 0.494100 loss_dfl: 0.429679 loss: 1.936020 eta: 1 day, 2:40:10 batch_cost: 0.6865 data_cost: 0.0003 ips: 58.2670 images/s
[07/28 13:20:11] ppdet.engine INFO: Epoch: [181] [540/732] learning_rate: 0.061003 loss_vfl: 0.966130 loss_bbox: 0.477450 loss_dfl: 0.419400 loss: 1.862980 eta: 1 day, 2:39:42 batch_cost: 0.6386 data_cost: 0.0021 ips: 62.6345 images/s
[07/28 13:20:27] ppdet.engine INFO: Epoch: [181] [560/732] learning_rate: 0.060978 loss_vfl: 0.977353 loss_bbox: 0.488284 loss_dfl: 0.424004 loss: 1.864973 eta: 1 day, 2:39:13 batch_cost: 0.6035 data_cost: 0.0013 ips: 66.2792 images/s
[07/28 13:20:42] ppdet.engine INFO: Epoch: [181] [580/732] learning_rate: 0.060953 loss_vfl: 1.010195 loss_bbox: 0.465065 loss_dfl: 0.433690 loss: 1.907289 eta: 1 day, 2:38:45 batch_cost: 0.6524 data_cost: 0.0009 ips: 61.3167 images/s
[07/28 13:20:59] ppdet.engine INFO: Epoch: [181] [600/732] learning_rate: 0.060927 loss_vfl: 0.959566 loss_bbox: 0.466911 loss_dfl: 0.412822 loss: 1.857374 eta: 1 day, 2:38:17 batch_cost: 0.6749 data_cost: 0.0032 ips: 59.2723 images/s
[07/28 13:21:15] ppdet.engine INFO: Epoch: [181] [620/732] learning_rate: 0.060902 loss_vfl: 1.039051 loss_bbox: 0.475926 loss_dfl: 0.437246 loss: 1.946336 eta: 1 day, 2:37:49 batch_cost: 0.6595 data_cost: 0.0007 ips: 60.6509 images/s
[07/28 13:21:31] ppdet.engine INFO: Epoch: [181] [640/732] learning_rate: 0.060877 loss_vfl: 0.990517 loss_bbox: 0.453465 loss_dfl: 0.415047 loss: 1.857745 eta: 1 day, 2:37:21 batch_cost: 0.6593 data_cost: 0.0030 ips: 60.6667 images/s
[07/28 13:21:49] ppdet.engine INFO: Epoch: [181] [660/732] learning_rate: 0.060851 loss_vfl: 1.046380 loss_bbox: 0.482207 loss_dfl: 0.440501 loss: 1.964734 eta: 1 day, 2:36:54 batch_cost: 0.7493 data_cost: 0.0038 ips: 53.3845 images/s
[07/28 13:22:06] ppdet.engine INFO: Epoch: [181] [680/732] learning_rate: 0.060826 loss_vfl: 1.024098 loss_bbox: 0.479016 loss_dfl: 0.424308 loss: 1.908208 eta: 1 day, 2:36:27 batch_cost: 0.7229 data_cost: 0.0015 ips: 55.3326 images/s
[07/28 13:22:23] ppdet.engine INFO: Epoch: [181] [700/732] learning_rate: 0.060801 loss_vfl: 0.998034 loss_bbox: 0.466971 loss_dfl: 0.425391 loss: 1.898497 eta: 1 day, 2:36:00 batch_cost: 0.7372 data_cost: 0.0042 ips: 54.2586 images/s
[07/28 13:22:40] ppdet.engine INFO: Epoch: [181] [720/732] learning_rate: 0.060776 loss_vfl: 0.975403 loss_bbox: 0.466344 loss_dfl: 0.420520 loss: 1.862267 eta: 1 day, 2:35:33 batch_cost: 0.7110 data_cost: 0.0025 ips: 56.2616 images/s
[07/28 13:22:55] ppdet.engine INFO: Epoch: [182] [  0/732] learning_rate: 0.060760 loss_vfl: 0.998705 loss_bbox: 0.460743 loss_dfl: 0.413184 loss: 1.855227 eta: 1 day, 2:35:19 batch_cost: 0.9088 data_cost: 0.1724 ips: 44.0127 images/s
[07/28 13:23:14] ppdet.engine INFO: Epoch: [182] [ 20/732] learning_rate: 0.060735 loss_vfl: 0.999787 loss_bbox: 0.481659 loss_dfl: 0.430472 loss: 1.893426 eta: 1 day, 2:34:53 batch_cost: 0.7972 data_cost: 0.0015 ips: 50.1777 images/s
[07/28 13:23:30] ppdet.engine INFO: Epoch: [182] [ 40/732] learning_rate: 0.060710 loss_vfl: 0.927843 loss_bbox: 0.415507 loss_dfl: 0.395753 loss: 1.742983 eta: 1 day, 2:34:25 batch_cost: 0.6893 data_cost: 0.0005 ips: 58.0314 images/s
[07/28 13:23:47] ppdet.engine INFO: Epoch: [182] [ 60/732] learning_rate: 0.060685 loss_vfl: 0.998364 loss_bbox: 0.488499 loss_dfl: 0.441539 loss: 1.922780 eta: 1 day, 2:33:57 batch_cost: 0.6918 data_cost: 0.0025 ips: 57.8185 images/s
[07/28 13:24:04] ppdet.engine INFO: Epoch: [182] [ 80/732] learning_rate: 0.060659 loss_vfl: 1.033251 loss_bbox: 0.500196 loss_dfl: 0.440027 loss: 1.970401 eta: 1 day, 2:33:30 batch_cost: 0.7080 data_cost: 0.0007 ips: 56.4969 images/s
[07/28 13:24:21] ppdet.engine INFO: Epoch: [182] [100/732] learning_rate: 0.060634 loss_vfl: 1.010252 loss_bbox: 0.478412 loss_dfl: 0.430909 loss: 1.929793 eta: 1 day, 2:33:03 batch_cost: 0.7251 data_cost: 0.0025 ips: 55.1614 images/s
[07/28 13:24:39] ppdet.engine INFO: Epoch: [182] [120/732] learning_rate: 0.060609 loss_vfl: 0.983947 loss_bbox: 0.457999 loss_dfl: 0.420497 loss: 1.865616 eta: 1 day, 2:32:36 batch_cost: 0.7450 data_cost: 0.0021 ips: 53.6915 images/s
[07/28 13:24:54] ppdet.engine INFO: Epoch: [182] [140/732] learning_rate: 0.060583 loss_vfl: 0.978991 loss_bbox: 0.474980 loss_dfl: 0.434699 loss: 1.872618 eta: 1 day, 2:32:08 batch_cost: 0.6274 data_cost: 0.0008 ips: 63.7534 images/s
[07/28 13:25:13] ppdet.engine INFO: Epoch: [182] [160/732] learning_rate: 0.060558 loss_vfl: 0.948110 loss_bbox: 0.440804 loss_dfl: 0.414609 loss: 1.827632 eta: 1 day, 2:31:41 batch_cost: 0.7740 data_cost: 0.0067 ips: 51.6771 images/s
[07/28 13:25:30] ppdet.engine INFO: Epoch: [182] [180/732] learning_rate: 0.060533 loss_vfl: 0.956529 loss_bbox: 0.463056 loss_dfl: 0.424009 loss: 1.847921 eta: 1 day, 2:31:14 batch_cost: 0.6928 data_cost: 0.0075 ips: 57.7365 images/s
[07/28 13:25:47] ppdet.engine INFO: Epoch: [182] [200/732] learning_rate: 0.060508 loss_vfl: 0.962701 loss_bbox: 0.470468 loss_dfl: 0.418359 loss: 1.834697 eta: 1 day, 2:30:47 batch_cost: 0.7239 data_cost: 0.0015 ips: 55.2599 images/s
[07/28 13:26:04] ppdet.engine INFO: Epoch: [182] [220/732] learning_rate: 0.060483 loss_vfl: 1.048558 loss_bbox: 0.489005 loss_dfl: 0.445417 loss: 2.000362 eta: 1 day, 2:30:20 batch_cost: 0.7311 data_cost: 0.0009 ips: 54.7123 images/s
[07/28 13:26:20] ppdet.engine INFO: Epoch: [182] [240/732] learning_rate: 0.060457 loss_vfl: 0.976468 loss_bbox: 0.452650 loss_dfl: 0.427246 loss: 1.872118 eta: 1 day, 2:29:52 batch_cost: 0.6879 data_cost: 0.0003 ips: 58.1506 images/s
[07/28 13:26:38] ppdet.engine INFO: Epoch: [182] [260/732] learning_rate: 0.060432 loss_vfl: 0.970079 loss_bbox: 0.445124 loss_dfl: 0.410624 loss: 1.828399 eta: 1 day, 2:29:25 batch_cost: 0.7348 data_cost: 0.0004 ips: 54.4389 images/s
[07/28 13:26:55] ppdet.engine INFO: Epoch: [182] [280/732] learning_rate: 0.060407 loss_vfl: 0.934256 loss_bbox: 0.456171 loss_dfl: 0.413362 loss: 1.790611 eta: 1 day, 2:28:58 batch_cost: 0.7164 data_cost: 0.0009 ips: 55.8381 images/s
[07/28 13:27:12] ppdet.engine INFO: Epoch: [182] [300/732] learning_rate: 0.060382 loss_vfl: 1.025110 loss_bbox: 0.498578 loss_dfl: 0.444054 loss: 1.949319 eta: 1 day, 2:28:31 batch_cost: 0.7168 data_cost: 0.0004 ips: 55.8016 images/s
[07/28 13:27:29] ppdet.engine INFO: Epoch: [182] [320/732] learning_rate: 0.060356 loss_vfl: 0.981207 loss_bbox: 0.452560 loss_dfl: 0.419624 loss: 1.837808 eta: 1 day, 2:28:03 batch_cost: 0.6646 data_cost: 0.0079 ips: 60.1891 images/s
[07/28 13:27:45] ppdet.engine INFO: Epoch: [182] [340/732] learning_rate: 0.060331 loss_vfl: 0.950788 loss_bbox: 0.474813 loss_dfl: 0.409711 loss: 1.804399 eta: 1 day, 2:27:35 batch_cost: 0.6866 data_cost: 0.0059 ips: 58.2604 images/s
[07/28 13:28:02] ppdet.engine INFO: Epoch: [182] [360/732] learning_rate: 0.060306 loss_vfl: 1.020247 loss_bbox: 0.487436 loss_dfl: 0.434809 loss: 1.946775 eta: 1 day, 2:27:08 batch_cost: 0.6854 data_cost: 0.0007 ips: 58.3602 images/s
[07/28 13:28:18] ppdet.engine INFO: Epoch: [182] [380/732] learning_rate: 0.060281 loss_vfl: 1.000902 loss_bbox: 0.458015 loss_dfl: 0.428413 loss: 1.892089 eta: 1 day, 2:26:39 batch_cost: 0.6205 data_cost: 0.0008 ips: 64.4606 images/s
[07/28 13:28:36] ppdet.engine INFO: Epoch: [182] [400/732] learning_rate: 0.060256 loss_vfl: 0.952779 loss_bbox: 0.471133 loss_dfl: 0.427297 loss: 1.860597 eta: 1 day, 2:26:12 batch_cost: 0.7392 data_cost: 0.0020 ips: 54.1157 images/s
[07/28 13:28:51] ppdet.engine INFO: Epoch: [182] [420/732] learning_rate: 0.060230 loss_vfl: 0.957827 loss_bbox: 0.444801 loss_dfl: 0.413281 loss: 1.800433 eta: 1 day, 2:25:44 batch_cost: 0.6532 data_cost: 0.0004 ips: 61.2334 images/s
[07/28 13:29:07] ppdet.engine INFO: Epoch: [182] [440/732] learning_rate: 0.060205 loss_vfl: 0.959307 loss_bbox: 0.472600 loss_dfl: 0.423094 loss: 1.866460 eta: 1 day, 2:25:16 batch_cost: 0.6506 data_cost: 0.0017 ips: 61.4781 images/s
[07/28 13:29:23] ppdet.engine INFO: Epoch: [182] [460/732] learning_rate: 0.060180 loss_vfl: 0.927476 loss_bbox: 0.461231 loss_dfl: 0.410945 loss: 1.788849 eta: 1 day, 2:24:49 batch_cost: 0.6649 data_cost: 0.0010 ips: 60.1602 images/s
[07/28 13:29:40] ppdet.engine INFO: Epoch: [182] [480/732] learning_rate: 0.060155 loss_vfl: 0.958910 loss_bbox: 0.466159 loss_dfl: 0.429316 loss: 1.847118 eta: 1 day, 2:24:21 batch_cost: 0.6884 data_cost: 0.0075 ips: 58.1096 images/s
[07/28 13:29:57] ppdet.engine INFO: Epoch: [182] [500/732] learning_rate: 0.060130 loss_vfl: 0.928620 loss_bbox: 0.437961 loss_dfl: 0.394907 loss: 1.753473 eta: 1 day, 2:23:54 batch_cost: 0.7046 data_cost: 0.0032 ips: 56.7673 images/s
[07/28 13:30:12] ppdet.engine INFO: Epoch: [182] [520/732] learning_rate: 0.060105 loss_vfl: 0.976454 loss_bbox: 0.469385 loss_dfl: 0.418515 loss: 1.879152 eta: 1 day, 2:23:26 batch_cost: 0.6663 data_cost: 0.0003 ips: 60.0306 images/s
[07/28 13:30:29] ppdet.engine INFO: Epoch: [182] [540/732] learning_rate: 0.060079 loss_vfl: 0.941867 loss_bbox: 0.444064 loss_dfl: 0.401356 loss: 1.785851 eta: 1 day, 2:22:59 batch_cost: 0.6909 data_cost: 0.0017 ips: 57.8968 images/s
[07/28 13:30:46] ppdet.engine INFO: Epoch: [182] [560/732] learning_rate: 0.060054 loss_vfl: 1.014733 loss_bbox: 0.492890 loss_dfl: 0.444484 loss: 1.946489 eta: 1 day, 2:22:31 batch_cost: 0.6841 data_cost: 0.0013 ips: 58.4725 images/s
[07/28 13:31:02] ppdet.engine INFO: Epoch: [182] [580/732] learning_rate: 0.060029 loss_vfl: 1.000223 loss_bbox: 0.489722 loss_dfl: 0.438617 loss: 1.930223 eta: 1 day, 2:22:03 batch_cost: 0.6439 data_cost: 0.0007 ips: 62.1229 images/s
[07/28 13:31:18] ppdet.engine INFO: Epoch: [182] [600/732] learning_rate: 0.060004 loss_vfl: 0.969884 loss_bbox: 0.460683 loss_dfl: 0.407756 loss: 1.844568 eta: 1 day, 2:21:35 batch_cost: 0.6297 data_cost: 0.0023 ips: 63.5194 images/s
[07/28 13:31:34] ppdet.engine INFO: Epoch: [182] [620/732] learning_rate: 0.059979 loss_vfl: 0.994605 loss_bbox: 0.472461 loss_dfl: 0.413463 loss: 1.864095 eta: 1 day, 2:21:07 batch_cost: 0.6805 data_cost: 0.0011 ips: 58.7769 images/s
[07/28 13:31:50] ppdet.engine INFO: Epoch: [182] [640/732] learning_rate: 0.059954 loss_vfl: 1.026580 loss_bbox: 0.463163 loss_dfl: 0.425433 loss: 1.921705 eta: 1 day, 2:20:39 batch_cost: 0.6485 data_cost: 0.0007 ips: 61.6795 images/s
[07/28 13:32:06] ppdet.engine INFO: Epoch: [182] [660/732] learning_rate: 0.059929 loss_vfl: 0.957356 loss_bbox: 0.452705 loss_dfl: 0.413950 loss: 1.823898 eta: 1 day, 2:20:11 batch_cost: 0.6257 data_cost: 0.0005 ips: 63.9236 images/s
[07/28 13:32:22] ppdet.engine INFO: Epoch: [182] [680/732] learning_rate: 0.059904 loss_vfl: 0.985835 loss_bbox: 0.467889 loss_dfl: 0.424553 loss: 1.890283 eta: 1 day, 2:19:43 batch_cost: 0.6587 data_cost: 0.0027 ips: 60.7234 images/s
[07/28 13:32:37] ppdet.engine INFO: Epoch: [182] [700/732] learning_rate: 0.059878 loss_vfl: 1.022431 loss_bbox: 0.476544 loss_dfl: 0.433228 loss: 1.930435 eta: 1 day, 2:19:15 batch_cost: 0.6371 data_cost: 0.0005 ips: 62.7857 images/s
[07/28 13:32:53] ppdet.engine INFO: Epoch: [182] [720/732] learning_rate: 0.059853 loss_vfl: 0.951540 loss_bbox: 0.467765 loss_dfl: 0.419900 loss: 1.859065 eta: 1 day, 2:18:47 batch_cost: 0.6343 data_cost: 0.0005 ips: 63.0611 images/s
[07/28 13:33:07] ppdet.engine INFO: Epoch: [183] [  0/732] learning_rate: 0.059838 loss_vfl: 0.939686 loss_bbox: 0.439819 loss_dfl: 0.401689 loss: 1.786138 eta: 1 day, 2:18:32 batch_cost: 0.8123 data_cost: 0.2399 ips: 49.2431 images/s
[07/28 13:33:28] ppdet.engine INFO: Epoch: [183] [ 20/732] learning_rate: 0.059813 loss_vfl: 0.960241 loss_bbox: 0.454012 loss_dfl: 0.409178 loss: 1.843670 eta: 1 day, 2:18:07 batch_cost: 0.8645 data_cost: 0.0021 ips: 46.2686 images/s
[07/28 13:33:45] ppdet.engine INFO: Epoch: [183] [ 40/732] learning_rate: 0.059788 loss_vfl: 1.017761 loss_bbox: 0.463914 loss_dfl: 0.434969 loss: 1.922555 eta: 1 day, 2:17:40 batch_cost: 0.7000 data_cost: 0.0072 ips: 57.1394 images/s
[07/28 13:34:03] ppdet.engine INFO: Epoch: [183] [ 60/732] learning_rate: 0.059763 loss_vfl: 0.986609 loss_bbox: 0.450807 loss_dfl: 0.411880 loss: 1.831854 eta: 1 day, 2:17:13 batch_cost: 0.7613 data_cost: 0.0044 ips: 52.5389 images/s
[07/28 13:34:20] ppdet.engine INFO: Epoch: [183] [ 80/732] learning_rate: 0.059738 loss_vfl: 0.970473 loss_bbox: 0.464855 loss_dfl: 0.420469 loss: 1.863366 eta: 1 day, 2:16:46 batch_cost: 0.6984 data_cost: 0.0023 ips: 57.2765 images/s
[07/28 13:34:37] ppdet.engine INFO: Epoch: [183] [100/732] learning_rate: 0.059713 loss_vfl: 0.959602 loss_bbox: 0.451396 loss_dfl: 0.407187 loss: 1.816934 eta: 1 day, 2:16:19 batch_cost: 0.7190 data_cost: 0.0018 ips: 55.6297 images/s
[07/28 13:34:54] ppdet.engine INFO: Epoch: [183] [120/732] learning_rate: 0.059688 loss_vfl: 0.967043 loss_bbox: 0.458510 loss_dfl: 0.417933 loss: 1.830899 eta: 1 day, 2:15:51 batch_cost: 0.6995 data_cost: 0.0025 ips: 57.1863 images/s
[07/28 13:35:11] ppdet.engine INFO: Epoch: [183] [140/732] learning_rate: 0.059663 loss_vfl: 1.061276 loss_bbox: 0.490312 loss_dfl: 0.449675 loss: 2.000712 eta: 1 day, 2:15:24 batch_cost: 0.7336 data_cost: 0.0067 ips: 54.5240 images/s
[07/28 13:35:27] ppdet.engine INFO: Epoch: [183] [160/732] learning_rate: 0.059638 loss_vfl: 0.956356 loss_bbox: 0.439697 loss_dfl: 0.404435 loss: 1.808102 eta: 1 day, 2:14:57 batch_cost: 0.6515 data_cost: 0.0019 ips: 61.3957 images/s
[07/28 13:35:42] ppdet.engine INFO: Epoch: [183] [180/732] learning_rate: 0.059612 loss_vfl: 1.009034 loss_bbox: 0.477451 loss_dfl: 0.429887 loss: 1.919203 eta: 1 day, 2:14:28 batch_cost: 0.6257 data_cost: 0.0015 ips: 63.9247 images/s
[07/28 13:35:58] ppdet.engine INFO: Epoch: [183] [200/732] learning_rate: 0.059587 loss_vfl: 1.004273 loss_bbox: 0.473064 loss_dfl: 0.435583 loss: 1.914142 eta: 1 day, 2:14:01 batch_cost: 0.6568 data_cost: 0.0009 ips: 60.9004 images/s
[07/28 13:36:15] ppdet.engine INFO: Epoch: [183] [220/732] learning_rate: 0.059562 loss_vfl: 0.915898 loss_bbox: 0.444264 loss_dfl: 0.400243 loss: 1.746080 eta: 1 day, 2:13:33 batch_cost: 0.6945 data_cost: 0.0009 ips: 57.5988 images/s
[07/28 13:36:32] ppdet.engine INFO: Epoch: [183] [240/732] learning_rate: 0.059537 loss_vfl: 0.973436 loss_bbox: 0.456902 loss_dfl: 0.422475 loss: 1.866460 eta: 1 day, 2:13:06 batch_cost: 0.7074 data_cost: 0.0098 ips: 56.5448 images/s
[07/28 13:36:48] ppdet.engine INFO: Epoch: [183] [260/732] learning_rate: 0.059512 loss_vfl: 0.979305 loss_bbox: 0.461007 loss_dfl: 0.418655 loss: 1.856552 eta: 1 day, 2:12:39 batch_cost: 0.6889 data_cost: 0.0027 ips: 58.0666 images/s
[07/28 13:37:04] ppdet.engine INFO: Epoch: [183] [280/732] learning_rate: 0.059487 loss_vfl: 0.971698 loss_bbox: 0.478968 loss_dfl: 0.423365 loss: 1.910952 eta: 1 day, 2:12:11 batch_cost: 0.6512 data_cost: 0.0011 ips: 61.4250 images/s
[07/28 13:37:20] ppdet.engine INFO: Epoch: [183] [300/732] learning_rate: 0.059462 loss_vfl: 0.978110 loss_bbox: 0.490574 loss_dfl: 0.421391 loss: 1.887649 eta: 1 day, 2:11:43 batch_cost: 0.6379 data_cost: 0.0035 ips: 62.7054 images/s
[07/28 13:37:38] ppdet.engine INFO: Epoch: [183] [320/732] learning_rate: 0.059437 loss_vfl: 0.980074 loss_bbox: 0.456702 loss_dfl: 0.422789 loss: 1.872141 eta: 1 day, 2:11:16 batch_cost: 0.7074 data_cost: 0.0014 ips: 56.5445 images/s
[07/28 13:37:55] ppdet.engine INFO: Epoch: [183] [340/732] learning_rate: 0.059412 loss_vfl: 1.000611 loss_bbox: 0.479169 loss_dfl: 0.420933 loss: 1.896501 eta: 1 day, 2:10:48 batch_cost: 0.6837 data_cost: 0.0037 ips: 58.5039 images/s
[07/28 13:38:13] ppdet.engine INFO: Epoch: [183] [360/732] learning_rate: 0.059387 loss_vfl: 0.958039 loss_bbox: 0.452450 loss_dfl: 0.406112 loss: 1.811303 eta: 1 day, 2:10:22 batch_cost: 0.7719 data_cost: 0.0027 ips: 51.8184 images/s
[07/28 13:38:29] ppdet.engine INFO: Epoch: [183] [380/732] learning_rate: 0.059362 loss_vfl: 0.921745 loss_bbox: 0.456316 loss_dfl: 0.411941 loss: 1.792068 eta: 1 day, 2:09:55 batch_cost: 0.7071 data_cost: 0.0018 ips: 56.5730 images/s
[07/28 13:38:46] ppdet.engine INFO: Epoch: [183] [400/732] learning_rate: 0.059337 loss_vfl: 1.019759 loss_bbox: 0.474467 loss_dfl: 0.431360 loss: 1.940582 eta: 1 day, 2:09:28 batch_cost: 0.7151 data_cost: 0.0010 ips: 55.9357 images/s
[07/28 13:39:03] ppdet.engine INFO: Epoch: [183] [420/732] learning_rate: 0.059312 loss_vfl: 0.958561 loss_bbox: 0.468237 loss_dfl: 0.420445 loss: 1.845406 eta: 1 day, 2:09:00 batch_cost: 0.6744 data_cost: 0.0013 ips: 59.3110 images/s
[07/28 13:39:19] ppdet.engine INFO: Epoch: [183] [440/732] learning_rate: 0.059287 loss_vfl: 0.980959 loss_bbox: 0.464732 loss_dfl: 0.424421 loss: 1.888369 eta: 1 day, 2:08:32 batch_cost: 0.6514 data_cost: 0.0012 ips: 61.4086 images/s
[07/28 13:39:36] ppdet.engine INFO: Epoch: [183] [460/732] learning_rate: 0.059262 loss_vfl: 0.968665 loss_bbox: 0.473121 loss_dfl: 0.417288 loss: 1.843717 eta: 1 day, 2:08:05 batch_cost: 0.6948 data_cost: 0.0007 ips: 57.5693 images/s
[07/28 13:39:53] ppdet.engine INFO: Epoch: [183] [480/732] learning_rate: 0.059237 loss_vfl: 0.978245 loss_bbox: 0.475765 loss_dfl: 0.426590 loss: 1.876785 eta: 1 day, 2:07:38 batch_cost: 0.6950 data_cost: 0.0003 ips: 57.5563 images/s
[07/28 13:40:11] ppdet.engine INFO: Epoch: [183] [500/732] learning_rate: 0.059212 loss_vfl: 0.993422 loss_bbox: 0.478942 loss_dfl: 0.453056 loss: 1.970253 eta: 1 day, 2:07:10 batch_cost: 0.7023 data_cost: 0.0004 ips: 56.9567 images/s
[07/28 13:40:28] ppdet.engine INFO: Epoch: [183] [520/732] learning_rate: 0.059187 loss_vfl: 1.020881 loss_bbox: 0.502888 loss_dfl: 0.444257 loss: 1.971156 eta: 1 day, 2:06:43 batch_cost: 0.7125 data_cost: 0.0008 ips: 56.1395 images/s
[07/28 13:40:44] ppdet.engine INFO: Epoch: [183] [540/732] learning_rate: 0.059162 loss_vfl: 0.974826 loss_bbox: 0.462300 loss_dfl: 0.419865 loss: 1.853047 eta: 1 day, 2:06:16 batch_cost: 0.6632 data_cost: 0.0010 ips: 60.3154 images/s
[07/28 13:41:01] ppdet.engine INFO: Epoch: [183] [560/732] learning_rate: 0.059137 loss_vfl: 0.972410 loss_bbox: 0.451286 loss_dfl: 0.415511 loss: 1.844417 eta: 1 day, 2:05:49 batch_cost: 0.7231 data_cost: 0.0010 ips: 55.3204 images/s
[07/28 13:41:17] ppdet.engine INFO: Epoch: [183] [580/732] learning_rate: 0.059112 loss_vfl: 0.944830 loss_bbox: 0.462200 loss_dfl: 0.414078 loss: 1.804093 eta: 1 day, 2:05:21 batch_cost: 0.6452 data_cost: 0.0013 ips: 61.9929 images/s
[07/28 13:41:34] ppdet.engine INFO: Epoch: [183] [600/732] learning_rate: 0.059087 loss_vfl: 0.984063 loss_bbox: 0.465417 loss_dfl: 0.412724 loss: 1.862736 eta: 1 day, 2:04:54 batch_cost: 0.6919 data_cost: 0.0003 ips: 57.8123 images/s
[07/28 13:41:50] ppdet.engine INFO: Epoch: [183] [620/732] learning_rate: 0.059062 loss_vfl: 0.973960 loss_bbox: 0.476334 loss_dfl: 0.433670 loss: 1.896718 eta: 1 day, 2:04:26 batch_cost: 0.6741 data_cost: 0.0014 ips: 59.3421 images/s
[07/28 13:42:06] ppdet.engine INFO: Epoch: [183] [640/732] learning_rate: 0.059037 loss_vfl: 0.911045 loss_bbox: 0.433540 loss_dfl: 0.402456 loss: 1.747593 eta: 1 day, 2:03:58 batch_cost: 0.6584 data_cost: 0.0003 ips: 60.7557 images/s
[07/28 13:42:23] ppdet.engine INFO: Epoch: [183] [660/732] learning_rate: 0.059012 loss_vfl: 0.948220 loss_bbox: 0.447024 loss_dfl: 0.408803 loss: 1.792583 eta: 1 day, 2:03:31 batch_cost: 0.6913 data_cost: 0.0007 ips: 57.8623 images/s
[07/28 13:42:40] ppdet.engine INFO: Epoch: [183] [680/732] learning_rate: 0.058987 loss_vfl: 1.016716 loss_bbox: 0.472601 loss_dfl: 0.424737 loss: 1.905941 eta: 1 day, 2:03:04 batch_cost: 0.7308 data_cost: 0.0011 ips: 54.7360 images/s
[07/28 13:42:56] ppdet.engine INFO: Epoch: [183] [700/732] learning_rate: 0.058963 loss_vfl: 0.972742 loss_bbox: 0.452655 loss_dfl: 0.416632 loss: 1.823879 eta: 1 day, 2:02:37 batch_cost: 0.6756 data_cost: 0.0014 ips: 59.2038 images/s
[07/28 13:43:12] ppdet.engine INFO: Epoch: [183] [720/732] learning_rate: 0.058938 loss_vfl: 1.015433 loss_bbox: 0.480972 loss_dfl: 0.434531 loss: 1.948737 eta: 1 day, 2:02:10 batch_cost: 0.6907 data_cost: 0.0045 ips: 57.9160 images/s
[07/28 13:43:27] ppdet.engine INFO: Epoch: [184] [  0/732] learning_rate: 0.058923 loss_vfl: 0.978936 loss_bbox: 0.468796 loss_dfl: 0.429063 loss: 1.874343 eta: 1 day, 2:01:55 batch_cost: 0.8327 data_cost: 0.2952 ips: 48.0380 images/s
[07/28 13:43:45] ppdet.engine INFO: Epoch: [184] [ 20/732] learning_rate: 0.058898 loss_vfl: 0.980328 loss_bbox: 0.471383 loss_dfl: 0.435437 loss: 1.902567 eta: 1 day, 2:01:28 batch_cost: 0.6948 data_cost: 0.0009 ips: 57.5743 images/s
[07/28 13:44:03] ppdet.engine INFO: Epoch: [184] [ 40/732] learning_rate: 0.058873 loss_vfl: 0.934386 loss_bbox: 0.451336 loss_dfl: 0.406441 loss: 1.794046 eta: 1 day, 2:01:01 batch_cost: 0.7366 data_cost: 0.0018 ips: 54.3041 images/s
[07/28 13:44:20] ppdet.engine INFO: Epoch: [184] [ 60/732] learning_rate: 0.058848 loss_vfl: 0.972083 loss_bbox: 0.469168 loss_dfl: 0.428387 loss: 1.864339 eta: 1 day, 2:00:34 batch_cost: 0.7063 data_cost: 0.0013 ips: 56.6352 images/s
[07/28 13:44:37] ppdet.engine INFO: Epoch: [184] [ 80/732] learning_rate: 0.058823 loss_vfl: 0.940048 loss_bbox: 0.474088 loss_dfl: 0.425474 loss: 1.828748 eta: 1 day, 2:00:07 batch_cost: 0.6818 data_cost: 0.0009 ips: 58.6660 images/s
[07/28 13:44:53] ppdet.engine INFO: Epoch: [184] [100/732] learning_rate: 0.058798 loss_vfl: 0.992256 loss_bbox: 0.471653 loss_dfl: 0.427819 loss: 1.925767 eta: 1 day, 1:59:40 batch_cost: 0.7190 data_cost: 0.0016 ips: 55.6342 images/s
[07/28 13:45:11] ppdet.engine INFO: Epoch: [184] [120/732] learning_rate: 0.058773 loss_vfl: 0.991056 loss_bbox: 0.474969 loss_dfl: 0.434609 loss: 1.898016 eta: 1 day, 1:59:13 batch_cost: 0.7136 data_cost: 0.0003 ips: 56.0511 images/s
[07/28 13:45:27] ppdet.engine INFO: Epoch: [184] [140/732] learning_rate: 0.058748 loss_vfl: 0.981812 loss_bbox: 0.466035 loss_dfl: 0.431114 loss: 1.895184 eta: 1 day, 1:58:46 batch_cost: 0.6970 data_cost: 0.0087 ips: 57.3892 images/s
[07/28 13:45:44] ppdet.engine INFO: Epoch: [184] [160/732] learning_rate: 0.058723 loss_vfl: 0.998859 loss_bbox: 0.472881 loss_dfl: 0.427140 loss: 1.894395 eta: 1 day, 1:58:19 batch_cost: 0.7019 data_cost: 0.0008 ips: 56.9910 images/s
[07/28 13:46:02] ppdet.engine INFO: Epoch: [184] [180/732] learning_rate: 0.058699 loss_vfl: 0.983679 loss_bbox: 0.453172 loss_dfl: 0.414119 loss: 1.841916 eta: 1 day, 1:57:52 batch_cost: 0.6933 data_cost: 0.0031 ips: 57.6949 images/s
[07/28 13:46:17] ppdet.engine INFO: Epoch: [184] [200/732] learning_rate: 0.058674 loss_vfl: 1.009265 loss_bbox: 0.478597 loss_dfl: 0.441226 loss: 1.932645 eta: 1 day, 1:57:24 batch_cost: 0.6598 data_cost: 0.0010 ips: 60.6242 images/s
[07/28 13:46:35] ppdet.engine INFO: Epoch: [184] [220/732] learning_rate: 0.058649 loss_vfl: 0.969752 loss_bbox: 0.465744 loss_dfl: 0.411593 loss: 1.844176 eta: 1 day, 1:56:57 batch_cost: 0.6965 data_cost: 0.0045 ips: 57.4322 images/s
[07/28 13:46:52] ppdet.engine INFO: Epoch: [184] [240/732] learning_rate: 0.058624 loss_vfl: 0.984548 loss_bbox: 0.462696 loss_dfl: 0.416339 loss: 1.898076 eta: 1 day, 1:56:30 batch_cost: 0.7208 data_cost: 0.0023 ips: 55.4927 images/s
[07/28 13:47:09] ppdet.engine INFO: Epoch: [184] [260/732] learning_rate: 0.058599 loss_vfl: 0.932413 loss_bbox: 0.447764 loss_dfl: 0.400861 loss: 1.768371 eta: 1 day, 1:56:03 batch_cost: 0.7132 data_cost: 0.0008 ips: 56.0864 images/s
[07/28 13:47:26] ppdet.engine INFO: Epoch: [184] [280/732] learning_rate: 0.058574 loss_vfl: 0.972737 loss_bbox: 0.486772 loss_dfl: 0.443421 loss: 1.929844 eta: 1 day, 1:55:36 batch_cost: 0.7123 data_cost: 0.0003 ips: 56.1539 images/s
[07/28 13:47:44] ppdet.engine INFO: Epoch: [184] [300/732] learning_rate: 0.058549 loss_vfl: 1.007748 loss_bbox: 0.469993 loss_dfl: 0.432326 loss: 1.921064 eta: 1 day, 1:55:10 batch_cost: 0.7636 data_cost: 0.0006 ips: 52.3850 images/s
[07/28 13:48:00] ppdet.engine INFO: Epoch: [184] [320/732] learning_rate: 0.058525 loss_vfl: 0.967755 loss_bbox: 0.485244 loss_dfl: 0.432664 loss: 1.921819 eta: 1 day, 1:54:42 batch_cost: 0.6641 data_cost: 0.0006 ips: 60.2351 images/s
[07/28 13:48:16] ppdet.engine INFO: Epoch: [184] [340/732] learning_rate: 0.058500 loss_vfl: 0.905844 loss_bbox: 0.448422 loss_dfl: 0.390291 loss: 1.730910 eta: 1 day, 1:54:14 batch_cost: 0.6506 data_cost: 0.0020 ips: 61.4799 images/s
[07/28 13:48:33] ppdet.engine INFO: Epoch: [184] [360/732] learning_rate: 0.058475 loss_vfl: 0.979021 loss_bbox: 0.457789 loss_dfl: 0.429941 loss: 1.863879 eta: 1 day, 1:53:47 batch_cost: 0.7159 data_cost: 0.0003 ips: 55.8728 images/s
[07/28 13:48:50] ppdet.engine INFO: Epoch: [184] [380/732] learning_rate: 0.058450 loss_vfl: 0.927619 loss_bbox: 0.436355 loss_dfl: 0.400404 loss: 1.788307 eta: 1 day, 1:53:20 batch_cost: 0.6875 data_cost: 0.0013 ips: 58.1816 images/s
[07/28 13:49:06] ppdet.engine INFO: Epoch: [184] [400/732] learning_rate: 0.058425 loss_vfl: 0.992868 loss_bbox: 0.483348 loss_dfl: 0.433819 loss: 1.906392 eta: 1 day, 1:52:53 batch_cost: 0.7050 data_cost: 0.0012 ips: 56.7370 images/s
[07/28 13:49:24] ppdet.engine INFO: Epoch: [184] [420/732] learning_rate: 0.058400 loss_vfl: 0.993855 loss_bbox: 0.478749 loss_dfl: 0.438848 loss: 1.937391 eta: 1 day, 1:52:27 batch_cost: 0.7363 data_cost: 0.0003 ips: 54.3273 images/s
[07/28 13:49:41] ppdet.engine INFO: Epoch: [184] [440/732] learning_rate: 0.058376 loss_vfl: 1.039763 loss_bbox: 0.466285 loss_dfl: 0.432529 loss: 1.940421 eta: 1 day, 1:51:59 batch_cost: 0.6921 data_cost: 0.0011 ips: 57.7966 images/s
[07/28 13:49:57] ppdet.engine INFO: Epoch: [184] [460/732] learning_rate: 0.058351 loss_vfl: 0.975200 loss_bbox: 0.455239 loss_dfl: 0.418817 loss: 1.863855 eta: 1 day, 1:51:32 batch_cost: 0.6825 data_cost: 0.0047 ips: 58.6043 images/s
[07/28 13:50:13] ppdet.engine INFO: Epoch: [184] [480/732] learning_rate: 0.058326 loss_vfl: 0.997111 loss_bbox: 0.475922 loss_dfl: 0.419455 loss: 1.890884 eta: 1 day, 1:51:04 batch_cost: 0.6504 data_cost: 0.0049 ips: 61.5013 images/s
[07/28 13:50:30] ppdet.engine INFO: Epoch: [184] [500/732] learning_rate: 0.058301 loss_vfl: 0.970073 loss_bbox: 0.474202 loss_dfl: 0.435734 loss: 1.878734 eta: 1 day, 1:50:38 batch_cost: 0.7223 data_cost: 0.0010 ips: 55.3789 images/s
[07/28 13:50:46] ppdet.engine INFO: Epoch: [184] [520/732] learning_rate: 0.058276 loss_vfl: 0.965495 loss_bbox: 0.455003 loss_dfl: 0.399353 loss: 1.794912 eta: 1 day, 1:50:10 batch_cost: 0.6683 data_cost: 0.0010 ips: 59.8515 images/s
[07/28 13:51:03] ppdet.engine INFO: Epoch: [184] [540/732] learning_rate: 0.058252 loss_vfl: 0.942938 loss_bbox: 0.456005 loss_dfl: 0.408610 loss: 1.795979 eta: 1 day, 1:49:43 batch_cost: 0.7046 data_cost: 0.0009 ips: 56.7722 images/s
[07/28 13:51:19] ppdet.engine INFO: Epoch: [184] [560/732] learning_rate: 0.058227 loss_vfl: 0.988969 loss_bbox: 0.480524 loss_dfl: 0.440059 loss: 1.936049 eta: 1 day, 1:49:16 batch_cost: 0.6953 data_cost: 0.0010 ips: 57.5277 images/s
[07/28 13:51:36] ppdet.engine INFO: Epoch: [184] [580/732] learning_rate: 0.058202 loss_vfl: 0.975928 loss_bbox: 0.463370 loss_dfl: 0.420693 loss: 1.856924 eta: 1 day, 1:48:49 batch_cost: 0.7186 data_cost: 0.0058 ips: 55.6630 images/s
[07/28 13:51:53] ppdet.engine INFO: Epoch: [184] [600/732] learning_rate: 0.058177 loss_vfl: 1.015384 loss_bbox: 0.476056 loss_dfl: 0.433320 loss: 1.903970 eta: 1 day, 1:48:22 batch_cost: 0.6688 data_cost: 0.0021 ips: 59.8082 images/s
[07/28 13:52:10] ppdet.engine INFO: Epoch: [184] [620/732] learning_rate: 0.058152 loss_vfl: 0.986104 loss_bbox: 0.460180 loss_dfl: 0.429535 loss: 1.888367 eta: 1 day, 1:47:55 batch_cost: 0.7504 data_cost: 0.0009 ips: 53.3073 images/s
[07/28 13:52:27] ppdet.engine INFO: Epoch: [184] [640/732] learning_rate: 0.058128 loss_vfl: 0.933642 loss_bbox: 0.459385 loss_dfl: 0.403381 loss: 1.795167 eta: 1 day, 1:47:28 batch_cost: 0.6728 data_cost: 0.0086 ips: 59.4520 images/s
[07/28 13:52:43] ppdet.engine INFO: Epoch: [184] [660/732] learning_rate: 0.058103 loss_vfl: 0.953682 loss_bbox: 0.460700 loss_dfl: 0.418491 loss: 1.838604 eta: 1 day, 1:47:00 batch_cost: 0.6475 data_cost: 0.0038 ips: 61.7763 images/s
[07/28 13:52:59] ppdet.engine INFO: Epoch: [184] [680/732] learning_rate: 0.058078 loss_vfl: 0.954029 loss_bbox: 0.430896 loss_dfl: 0.399600 loss: 1.789092 eta: 1 day, 1:46:33 batch_cost: 0.6499 data_cost: 0.0043 ips: 61.5446 images/s
[07/28 13:53:16] ppdet.engine INFO: Epoch: [184] [700/732] learning_rate: 0.058053 loss_vfl: 0.974589 loss_bbox: 0.465042 loss_dfl: 0.424759 loss: 1.861807 eta: 1 day, 1:46:06 batch_cost: 0.7018 data_cost: 0.0011 ips: 56.9995 images/s
[07/28 13:53:32] ppdet.engine INFO: Epoch: [184] [720/732] learning_rate: 0.058029 loss_vfl: 0.937382 loss_bbox: 0.428954 loss_dfl: 0.392733 loss: 1.781721 eta: 1 day, 1:45:39 batch_cost: 0.7081 data_cost: 0.0021 ips: 56.4862 images/s
[07/28 13:53:47] ppdet.engine INFO: Epoch: [185] [  0/732] learning_rate: 0.058014 loss_vfl: 0.941394 loss_bbox: 0.448087 loss_dfl: 0.402019 loss: 1.781168 eta: 1 day, 1:45:25 batch_cost: 0.8841 data_cost: 0.2833 ips: 45.2423 images/s
[07/28 13:54:05] ppdet.engine INFO: Epoch: [185] [ 20/732] learning_rate: 0.057989 loss_vfl: 0.932074 loss_bbox: 0.455472 loss_dfl: 0.411385 loss: 1.797347 eta: 1 day, 1:44:58 batch_cost: 0.7517 data_cost: 0.0015 ips: 53.2147 images/s
[07/28 13:54:22] ppdet.engine INFO: Epoch: [185] [ 40/732] learning_rate: 0.057964 loss_vfl: 0.974525 loss_bbox: 0.452017 loss_dfl: 0.415612 loss: 1.795953 eta: 1 day, 1:44:31 batch_cost: 0.6707 data_cost: 0.0016 ips: 59.6355 images/s
[07/28 13:54:39] ppdet.engine INFO: Epoch: [185] [ 60/732] learning_rate: 0.057940 loss_vfl: 0.929322 loss_bbox: 0.435517 loss_dfl: 0.397175 loss: 1.776327 eta: 1 day, 1:44:04 batch_cost: 0.7097 data_cost: 0.0024 ips: 56.3648 images/s
[07/28 13:54:56] ppdet.engine INFO: Epoch: [185] [ 80/732] learning_rate: 0.057915 loss_vfl: 0.975433 loss_bbox: 0.478936 loss_dfl: 0.429394 loss: 1.892907 eta: 1 day, 1:43:38 batch_cost: 0.7689 data_cost: 0.0018 ips: 52.0238 images/s
[07/28 13:55:14] ppdet.engine INFO: Epoch: [185] [100/732] learning_rate: 0.057890 loss_vfl: 0.989037 loss_bbox: 0.469320 loss_dfl: 0.441564 loss: 1.890827 eta: 1 day, 1:43:11 batch_cost: 0.7334 data_cost: 0.0024 ips: 54.5419 images/s
[07/28 13:55:31] ppdet.engine INFO: Epoch: [185] [120/732] learning_rate: 0.057866 loss_vfl: 0.974802 loss_bbox: 0.455680 loss_dfl: 0.421176 loss: 1.830135 eta: 1 day, 1:42:44 batch_cost: 0.6881 data_cost: 0.0025 ips: 58.1292 images/s
[07/28 13:55:48] ppdet.engine INFO: Epoch: [185] [140/732] learning_rate: 0.057841 loss_vfl: 1.003520 loss_bbox: 0.478743 loss_dfl: 0.442080 loss: 1.952912 eta: 1 day, 1:42:17 batch_cost: 0.6958 data_cost: 0.0028 ips: 57.4862 images/s
[07/28 13:56:04] ppdet.engine INFO: Epoch: [185] [160/732] learning_rate: 0.057816 loss_vfl: 0.992737 loss_bbox: 0.482040 loss_dfl: 0.425352 loss: 1.931706 eta: 1 day, 1:41:50 batch_cost: 0.6701 data_cost: 0.0018 ips: 59.6931 images/s
[07/28 13:56:22] ppdet.engine INFO: Epoch: [185] [180/732] learning_rate: 0.057791 loss_vfl: 0.994508 loss_bbox: 0.476890 loss_dfl: 0.428978 loss: 1.904296 eta: 1 day, 1:41:23 batch_cost: 0.7186 data_cost: 0.0036 ips: 55.6620 images/s
[07/28 13:56:38] ppdet.engine INFO: Epoch: [185] [200/732] learning_rate: 0.057767 loss_vfl: 1.022902 loss_bbox: 0.487893 loss_dfl: 0.440239 loss: 1.967239 eta: 1 day, 1:40:56 batch_cost: 0.6677 data_cost: 0.0008 ips: 59.9039 images/s
[07/28 13:56:55] ppdet.engine INFO: Epoch: [185] [220/732] learning_rate: 0.057742 loss_vfl: 0.964279 loss_bbox: 0.454660 loss_dfl: 0.421061 loss: 1.822331 eta: 1 day, 1:40:28 batch_cost: 0.6795 data_cost: 0.0030 ips: 58.8633 images/s
[07/28 13:57:11] ppdet.engine INFO: Epoch: [185] [240/732] learning_rate: 0.057717 loss_vfl: 0.981139 loss_bbox: 0.464247 loss_dfl: 0.442340 loss: 1.920660 eta: 1 day, 1:40:01 batch_cost: 0.6503 data_cost: 0.0019 ips: 61.5099 images/s
[07/28 13:57:27] ppdet.engine INFO: Epoch: [185] [260/732] learning_rate: 0.057693 loss_vfl: 0.983456 loss_bbox: 0.478123 loss_dfl: 0.434080 loss: 1.905059 eta: 1 day, 1:39:34 batch_cost: 0.6745 data_cost: 0.0020 ips: 59.3002 images/s
[07/28 13:57:44] ppdet.engine INFO: Epoch: [185] [280/732] learning_rate: 0.057668 loss_vfl: 0.984637 loss_bbox: 0.464401 loss_dfl: 0.425398 loss: 1.877266 eta: 1 day, 1:39:07 batch_cost: 0.7019 data_cost: 0.0018 ips: 56.9867 images/s
[07/28 13:58:02] ppdet.engine INFO: Epoch: [185] [300/732] learning_rate: 0.057643 loss_vfl: 0.998136 loss_bbox: 0.466690 loss_dfl: 0.428679 loss: 1.857186 eta: 1 day, 1:38:41 batch_cost: 0.7931 data_cost: 0.0009 ips: 50.4320 images/s
[07/28 13:58:18] ppdet.engine INFO: Epoch: [185] [320/732] learning_rate: 0.057619 loss_vfl: 0.973885 loss_bbox: 0.494108 loss_dfl: 0.425682 loss: 1.884109 eta: 1 day, 1:38:14 batch_cost: 0.6839 data_cost: 0.0020 ips: 58.4857 images/s
[07/28 13:58:34] ppdet.engine INFO: Epoch: [185] [340/732] learning_rate: 0.057594 loss_vfl: 0.950342 loss_bbox: 0.459979 loss_dfl: 0.416409 loss: 1.823732 eta: 1 day, 1:37:46 batch_cost: 0.6729 data_cost: 0.0011 ips: 59.4454 images/s
[07/28 13:58:51] ppdet.engine INFO: Epoch: [185] [360/732] learning_rate: 0.057569 loss_vfl: 0.990862 loss_bbox: 0.455192 loss_dfl: 0.431233 loss: 1.877870 eta: 1 day, 1:37:19 batch_cost: 0.6617 data_cost: 0.0013 ips: 60.4541 images/s
[07/28 13:59:07] ppdet.engine INFO: Epoch: [185] [380/732] learning_rate: 0.057545 loss_vfl: 0.975649 loss_bbox: 0.464652 loss_dfl: 0.417358 loss: 1.853210 eta: 1 day, 1:36:52 batch_cost: 0.6786 data_cost: 0.0021 ips: 58.9483 images/s
[07/28 13:59:23] ppdet.engine INFO: Epoch: [185] [400/732] learning_rate: 0.057520 loss_vfl: 1.011429 loss_bbox: 0.476057 loss_dfl: 0.436609 loss: 1.912184 eta: 1 day, 1:36:24 batch_cost: 0.6275 data_cost: 0.0041 ips: 63.7441 images/s
[07/28 13:59:39] ppdet.engine INFO: Epoch: [185] [420/732] learning_rate: 0.057496 loss_vfl: 0.996319 loss_bbox: 0.455418 loss_dfl: 0.421969 loss: 1.867678 eta: 1 day, 1:35:56 batch_cost: 0.6645 data_cost: 0.0003 ips: 60.1953 images/s
[07/28 13:59:56] ppdet.engine INFO: Epoch: [185] [440/732] learning_rate: 0.057471 loss_vfl: 0.970837 loss_bbox: 0.437072 loss_dfl: 0.414854 loss: 1.821921 eta: 1 day, 1:35:29 batch_cost: 0.6522 data_cost: 0.0009 ips: 61.3331 images/s
[07/28 14:00:12] ppdet.engine INFO: Epoch: [185] [460/732] learning_rate: 0.057446 loss_vfl: 0.925772 loss_bbox: 0.442846 loss_dfl: 0.400960 loss: 1.763772 eta: 1 day, 1:35:02 batch_cost: 0.6907 data_cost: 0.0015 ips: 57.9162 images/s
[07/28 14:00:28] ppdet.engine INFO: Epoch: [185] [480/732] learning_rate: 0.057422 loss_vfl: 0.966652 loss_bbox: 0.454956 loss_dfl: 0.420107 loss: 1.857630 eta: 1 day, 1:34:35 batch_cost: 0.6714 data_cost: 0.0007 ips: 59.5801 images/s
[07/28 14:00:44] ppdet.engine INFO: Epoch: [185] [500/732] learning_rate: 0.057397 loss_vfl: 0.961772 loss_bbox: 0.479922 loss_dfl: 0.417806 loss: 1.839638 eta: 1 day, 1:34:07 batch_cost: 0.6725 data_cost: 0.0003 ips: 59.4766 images/s
[07/28 14:01:00] ppdet.engine INFO: Epoch: [185] [520/732] learning_rate: 0.057372 loss_vfl: 0.959696 loss_bbox: 0.464610 loss_dfl: 0.414069 loss: 1.846953 eta: 1 day, 1:33:40 batch_cost: 0.6351 data_cost: 0.0028 ips: 62.9802 images/s
[07/28 14:01:16] ppdet.engine INFO: Epoch: [185] [540/732] learning_rate: 0.057348 loss_vfl: 0.940556 loss_bbox: 0.442636 loss_dfl: 0.409360 loss: 1.838551 eta: 1 day, 1:33:12 batch_cost: 0.6429 data_cost: 0.0016 ips: 62.2145 images/s
[07/28 14:01:31] ppdet.engine INFO: Epoch: [185] [560/732] learning_rate: 0.057323 loss_vfl: 0.947522 loss_bbox: 0.452212 loss_dfl: 0.418313 loss: 1.836723 eta: 1 day, 1:32:44 batch_cost: 0.6301 data_cost: 0.0016 ips: 63.4812 images/s
[07/28 14:01:48] ppdet.engine INFO: Epoch: [185] [580/732] learning_rate: 0.057299 loss_vfl: 1.028116 loss_bbox: 0.488841 loss_dfl: 0.454678 loss: 1.975556 eta: 1 day, 1:32:17 batch_cost: 0.6796 data_cost: 0.0073 ips: 58.8566 images/s
[07/28 14:02:03] ppdet.engine INFO: Epoch: [185] [600/732] learning_rate: 0.057274 loss_vfl: 0.974133 loss_bbox: 0.459499 loss_dfl: 0.430727 loss: 1.873661 eta: 1 day, 1:31:50 batch_cost: 0.6703 data_cost: 0.0075 ips: 59.6756 images/s
[07/28 14:02:20] ppdet.engine INFO: Epoch: [185] [620/732] learning_rate: 0.057249 loss_vfl: 0.943689 loss_bbox: 0.458373 loss_dfl: 0.400968 loss: 1.782140 eta: 1 day, 1:31:23 batch_cost: 0.7070 data_cost: 0.0012 ips: 56.5757 images/s
[07/28 14:02:36] ppdet.engine INFO: Epoch: [185] [640/732] learning_rate: 0.057225 loss_vfl: 0.917765 loss_bbox: 0.449650 loss_dfl: 0.408797 loss: 1.780461 eta: 1 day, 1:30:55 batch_cost: 0.6502 data_cost: 0.0003 ips: 61.5160 images/s
[07/28 14:02:52] ppdet.engine INFO: Epoch: [185] [660/732] learning_rate: 0.057200 loss_vfl: 0.964340 loss_bbox: 0.450367 loss_dfl: 0.405141 loss: 1.797887 eta: 1 day, 1:30:28 batch_cost: 0.6398 data_cost: 0.0025 ips: 62.5200 images/s
[07/28 14:03:08] ppdet.engine INFO: Epoch: [185] [680/732] learning_rate: 0.057176 loss_vfl: 0.984482 loss_bbox: 0.447006 loss_dfl: 0.407539 loss: 1.856353 eta: 1 day, 1:30:01 batch_cost: 0.6735 data_cost: 0.0026 ips: 59.3901 images/s
[07/28 14:03:25] ppdet.engine INFO: Epoch: [185] [700/732] learning_rate: 0.057151 loss_vfl: 0.962950 loss_bbox: 0.456099 loss_dfl: 0.416734 loss: 1.814478 eta: 1 day, 1:29:34 batch_cost: 0.7147 data_cost: 0.0009 ips: 55.9653 images/s
[07/28 14:03:42] ppdet.engine INFO: Epoch: [185] [720/732] learning_rate: 0.057127 loss_vfl: 0.985911 loss_bbox: 0.477534 loss_dfl: 0.432953 loss: 1.901050 eta: 1 day, 1:29:07 batch_cost: 0.7028 data_cost: 0.0029 ips: 56.9165 images/s
[07/28 14:03:57] ppdet.engine INFO: Epoch: [186] [  0/732] learning_rate: 0.057112 loss_vfl: 0.995442 loss_bbox: 0.492785 loss_dfl: 0.439422 loss: 1.894786 eta: 1 day, 1:28:53 batch_cost: 0.8764 data_cost: 0.1842 ips: 45.6391 images/s
[07/28 14:04:17] ppdet.engine INFO: Epoch: [186] [ 20/732] learning_rate: 0.057087 loss_vfl: 0.997533 loss_bbox: 0.474348 loss_dfl: 0.423288 loss: 1.914624 eta: 1 day, 1:28:28 batch_cost: 0.8382 data_cost: 0.0023 ips: 47.7196 images/s
[07/28 14:04:35] ppdet.engine INFO: Epoch: [186] [ 40/732] learning_rate: 0.057063 loss_vfl: 0.933045 loss_bbox: 0.432827 loss_dfl: 0.403747 loss: 1.778733 eta: 1 day, 1:28:02 batch_cost: 0.7739 data_cost: 0.0003 ips: 51.6846 images/s
[07/28 14:04:52] ppdet.engine INFO: Epoch: [186] [ 60/732] learning_rate: 0.057038 loss_vfl: 0.950131 loss_bbox: 0.459757 loss_dfl: 0.419203 loss: 1.829752 eta: 1 day, 1:27:35 batch_cost: 0.6933 data_cost: 0.0007 ips: 57.6922 images/s
[07/28 14:05:09] ppdet.engine INFO: Epoch: [186] [ 80/732] learning_rate: 0.057014 loss_vfl: 0.906474 loss_bbox: 0.449732 loss_dfl: 0.400853 loss: 1.756353 eta: 1 day, 1:27:08 batch_cost: 0.7108 data_cost: 0.0011 ips: 56.2747 images/s
[07/28 14:05:27] ppdet.engine INFO: Epoch: [186] [100/732] learning_rate: 0.056989 loss_vfl: 0.968022 loss_bbox: 0.459724 loss_dfl: 0.420887 loss: 1.839271 eta: 1 day, 1:26:43 batch_cost: 0.7997 data_cost: 0.0018 ips: 50.0217 images/s
[07/28 14:05:43] ppdet.engine INFO: Epoch: [186] [120/732] learning_rate: 0.056965 loss_vfl: 0.946079 loss_bbox: 0.453595 loss_dfl: 0.421760 loss: 1.858894 eta: 1 day, 1:26:16 batch_cost: 0.6712 data_cost: 0.0003 ips: 59.5975 images/s
[07/28 14:06:00] ppdet.engine INFO: Epoch: [186] [140/732] learning_rate: 0.056940 loss_vfl: 0.944015 loss_bbox: 0.475203 loss_dfl: 0.423983 loss: 1.838088 eta: 1 day, 1:25:49 batch_cost: 0.7019 data_cost: 0.0009 ips: 56.9895 images/s
[07/28 14:06:16] ppdet.engine INFO: Epoch: [186] [160/732] learning_rate: 0.056916 loss_vfl: 0.881614 loss_bbox: 0.417223 loss_dfl: 0.389910 loss: 1.687201 eta: 1 day, 1:25:22 batch_cost: 0.6880 data_cost: 0.0011 ips: 58.1384 images/s
[07/28 14:06:34] ppdet.engine INFO: Epoch: [186] [180/732] learning_rate: 0.056891 loss_vfl: 1.003935 loss_bbox: 0.462015 loss_dfl: 0.428389 loss: 1.902988 eta: 1 day, 1:24:55 batch_cost: 0.7271 data_cost: 0.0015 ips: 55.0144 images/s
[07/28 14:06:51] ppdet.engine INFO: Epoch: [186] [200/732] learning_rate: 0.056867 loss_vfl: 0.932696 loss_bbox: 0.434504 loss_dfl: 0.398534 loss: 1.774349 eta: 1 day, 1:24:29 batch_cost: 0.7318 data_cost: 0.0023 ips: 54.6567 images/s
[07/28 14:07:08] ppdet.engine INFO: Epoch: [186] [220/732] learning_rate: 0.056842 loss_vfl: 0.962406 loss_bbox: 0.485317 loss_dfl: 0.438694 loss: 1.873813 eta: 1 day, 1:24:02 batch_cost: 0.6886 data_cost: 0.0037 ips: 58.0918 images/s
[07/28 14:07:24] ppdet.engine INFO: Epoch: [186] [240/732] learning_rate: 0.056818 loss_vfl: 0.899311 loss_bbox: 0.437792 loss_dfl: 0.404352 loss: 1.736710 eta: 1 day, 1:23:35 batch_cost: 0.7271 data_cost: 0.0018 ips: 55.0153 images/s
[07/28 14:07:41] ppdet.engine INFO: Epoch: [186] [260/732] learning_rate: 0.056793 loss_vfl: 0.992608 loss_bbox: 0.457598 loss_dfl: 0.414156 loss: 1.851882 eta: 1 day, 1:23:09 batch_cost: 0.7245 data_cost: 0.0015 ips: 55.2085 images/s
[07/28 14:07:58] ppdet.engine INFO: Epoch: [186] [280/732] learning_rate: 0.056769 loss_vfl: 0.972936 loss_bbox: 0.482410 loss_dfl: 0.437394 loss: 1.895553 eta: 1 day, 1:22:42 batch_cost: 0.7142 data_cost: 0.0010 ips: 56.0042 images/s
[07/28 14:08:14] ppdet.engine INFO: Epoch: [186] [300/732] learning_rate: 0.056744 loss_vfl: 0.915774 loss_bbox: 0.441254 loss_dfl: 0.392835 loss: 1.746578 eta: 1 day, 1:22:15 batch_cost: 0.6596 data_cost: 0.0023 ips: 60.6459 images/s
[07/28 14:08:31] ppdet.engine INFO: Epoch: [186] [320/732] learning_rate: 0.056720 loss_vfl: 1.003876 loss_bbox: 0.471843 loss_dfl: 0.436597 loss: 1.896398 eta: 1 day, 1:21:48 batch_cost: 0.6958 data_cost: 0.0003 ips: 57.4838 images/s
[07/28 14:08:49] ppdet.engine INFO: Epoch: [186] [340/732] learning_rate: 0.056695 loss_vfl: 0.904996 loss_bbox: 0.434388 loss_dfl: 0.392088 loss: 1.725751 eta: 1 day, 1:21:22 batch_cost: 0.7474 data_cost: 0.0013 ips: 53.5223 images/s
[07/28 14:09:05] ppdet.engine INFO: Epoch: [186] [360/732] learning_rate: 0.056671 loss_vfl: 0.969116 loss_bbox: 0.437972 loss_dfl: 0.407805 loss: 1.813450 eta: 1 day, 1:20:54 batch_cost: 0.6564 data_cost: 0.0107 ips: 60.9426 images/s
[07/28 14:09:22] ppdet.engine INFO: Epoch: [186] [380/732] learning_rate: 0.056646 loss_vfl: 1.016331 loss_bbox: 0.460188 loss_dfl: 0.431175 loss: 1.925344 eta: 1 day, 1:20:27 batch_cost: 0.6691 data_cost: 0.0041 ips: 59.7861 images/s
[07/28 14:09:39] ppdet.engine INFO: Epoch: [186] [400/732] learning_rate: 0.056622 loss_vfl: 0.901983 loss_bbox: 0.412577 loss_dfl: 0.383157 loss: 1.707480 eta: 1 day, 1:20:01 batch_cost: 0.7312 data_cost: 0.0027 ips: 54.7073 images/s
[07/28 14:09:56] ppdet.engine INFO: Epoch: [186] [420/732] learning_rate: 0.056598 loss_vfl: 0.947605 loss_bbox: 0.476230 loss_dfl: 0.414471 loss: 1.829890 eta: 1 day, 1:19:34 batch_cost: 0.6927 data_cost: 0.0021 ips: 57.7420 images/s
[07/28 14:10:11] ppdet.engine INFO: Epoch: [186] [440/732] learning_rate: 0.056573 loss_vfl: 0.983152 loss_bbox: 0.456609 loss_dfl: 0.423460 loss: 1.873216 eta: 1 day, 1:19:06 batch_cost: 0.6171 data_cost: 0.0009 ips: 64.8207 images/s
[07/28 14:10:27] ppdet.engine INFO: Epoch: [186] [460/732] learning_rate: 0.056549 loss_vfl: 0.922475 loss_bbox: 0.449609 loss_dfl: 0.401046 loss: 1.781705 eta: 1 day, 1:18:39 batch_cost: 0.6511 data_cost: 0.0015 ips: 61.4333 images/s
[07/28 14:10:43] ppdet.engine INFO: Epoch: [186] [480/732] learning_rate: 0.056524 loss_vfl: 0.963414 loss_bbox: 0.476359 loss_dfl: 0.426915 loss: 1.860757 eta: 1 day, 1:18:11 batch_cost: 0.6106 data_cost: 0.0021 ips: 65.5120 images/s
[07/28 14:11:00] ppdet.engine INFO: Epoch: [186] [500/732] learning_rate: 0.056500 loss_vfl: 0.971748 loss_bbox: 0.459755 loss_dfl: 0.416989 loss: 1.853560 eta: 1 day, 1:17:44 batch_cost: 0.7018 data_cost: 0.0010 ips: 57.0003 images/s
[07/28 14:11:17] ppdet.engine INFO: Epoch: [186] [520/732] learning_rate: 0.056475 loss_vfl: 0.963053 loss_bbox: 0.445902 loss_dfl: 0.412714 loss: 1.820214 eta: 1 day, 1:17:18 batch_cost: 0.7314 data_cost: 0.0015 ips: 54.6931 images/s
[07/28 14:11:33] ppdet.engine INFO: Epoch: [186] [540/732] learning_rate: 0.056451 loss_vfl: 0.986033 loss_bbox: 0.462417 loss_dfl: 0.437662 loss: 1.893026 eta: 1 day, 1:16:50 batch_cost: 0.6193 data_cost: 0.0016 ips: 64.5891 images/s
[07/28 14:11:49] ppdet.engine INFO: Epoch: [186] [560/732] learning_rate: 0.056427 loss_vfl: 0.986056 loss_bbox: 0.466553 loss_dfl: 0.418350 loss: 1.850254 eta: 1 day, 1:16:23 batch_cost: 0.6610 data_cost: 0.0017 ips: 60.5171 images/s
[07/28 14:12:06] ppdet.engine INFO: Epoch: [186] [580/732] learning_rate: 0.056402 loss_vfl: 0.969996 loss_bbox: 0.452876 loss_dfl: 0.423869 loss: 1.882653 eta: 1 day, 1:15:56 batch_cost: 0.6916 data_cost: 0.0015 ips: 57.8373 images/s
[07/28 14:12:23] ppdet.engine INFO: Epoch: [186] [600/732] learning_rate: 0.056378 loss_vfl: 0.923115 loss_bbox: 0.461035 loss_dfl: 0.415613 loss: 1.786387 eta: 1 day, 1:15:29 batch_cost: 0.6935 data_cost: 0.0039 ips: 57.6792 images/s
[07/28 14:12:41] ppdet.engine INFO: Epoch: [186] [620/732] learning_rate: 0.056353 loss_vfl: 0.934512 loss_bbox: 0.444945 loss_dfl: 0.403886 loss: 1.790249 eta: 1 day, 1:15:03 batch_cost: 0.7927 data_cost: 0.0042 ips: 50.4608 images/s
[07/28 14:12:57] ppdet.engine INFO: Epoch: [186] [640/732] learning_rate: 0.056329 loss_vfl: 0.940721 loss_bbox: 0.440588 loss_dfl: 0.414181 loss: 1.804760 eta: 1 day, 1:14:36 batch_cost: 0.6388 data_cost: 0.0013 ips: 62.6126 images/s
[07/28 14:13:13] ppdet.engine INFO: Epoch: [186] [660/732] learning_rate: 0.056305 loss_vfl: 0.995555 loss_bbox: 0.491566 loss_dfl: 0.429188 loss: 1.915140 eta: 1 day, 1:14:09 batch_cost: 0.7038 data_cost: 0.0003 ips: 56.8316 images/s
[07/28 14:13:29] ppdet.engine INFO: Epoch: [186] [680/732] learning_rate: 0.056280 loss_vfl: 0.955818 loss_bbox: 0.457917 loss_dfl: 0.418017 loss: 1.829144 eta: 1 day, 1:13:42 batch_cost: 0.6561 data_cost: 0.0019 ips: 60.9700 images/s
[07/28 14:13:45] ppdet.engine INFO: Epoch: [186] [700/732] learning_rate: 0.056256 loss_vfl: 1.012493 loss_bbox: 0.477555 loss_dfl: 0.446346 loss: 1.932686 eta: 1 day, 1:13:14 batch_cost: 0.6644 data_cost: 0.0019 ips: 60.2067 images/s
[07/28 14:14:01] ppdet.engine INFO: Epoch: [186] [720/732] learning_rate: 0.056232 loss_vfl: 0.986611 loss_bbox: 0.471226 loss_dfl: 0.424837 loss: 1.884782 eta: 1 day, 1:12:48 batch_cost: 0.6971 data_cost: 0.0027 ips: 57.3781 images/s
[07/28 14:14:16] ppdet.engine INFO: Epoch: [187] [  0/732] learning_rate: 0.056217 loss_vfl: 0.960840 loss_bbox: 0.471226 loss_dfl: 0.422402 loss: 1.851468 eta: 1 day, 1:12:34 batch_cost: 0.9080 data_cost: 0.2307 ips: 44.0516 images/s
[07/28 14:14:37] ppdet.engine INFO: Epoch: [187] [ 20/732] learning_rate: 0.056193 loss_vfl: 0.962964 loss_bbox: 0.482876 loss_dfl: 0.430506 loss: 1.887641 eta: 1 day, 1:12:09 batch_cost: 0.8672 data_cost: 0.0023 ips: 46.1269 images/s
[07/28 14:14:54] ppdet.engine INFO: Epoch: [187] [ 40/732] learning_rate: 0.056168 loss_vfl: 0.955502 loss_bbox: 0.484586 loss_dfl: 0.427562 loss: 1.879321 eta: 1 day, 1:11:43 batch_cost: 0.7611 data_cost: 0.0019 ips: 52.5564 images/s
[07/28 14:15:11] ppdet.engine INFO: Epoch: [187] [ 60/732] learning_rate: 0.056144 loss_vfl: 0.938589 loss_bbox: 0.436865 loss_dfl: 0.396983 loss: 1.769284 eta: 1 day, 1:11:16 batch_cost: 0.6930 data_cost: 0.0017 ips: 57.7188 images/s
[07/28 14:15:30] ppdet.engine INFO: Epoch: [187] [ 80/732] learning_rate: 0.056120 loss_vfl: 0.903592 loss_bbox: 0.433332 loss_dfl: 0.384127 loss: 1.705747 eta: 1 day, 1:10:51 batch_cost: 0.7906 data_cost: 0.0027 ips: 50.5926 images/s
[07/28 14:15:47] ppdet.engine INFO: Epoch: [187] [100/732] learning_rate: 0.056095 loss_vfl: 0.971421 loss_bbox: 0.464002 loss_dfl: 0.435118 loss: 1.883774 eta: 1 day, 1:10:25 batch_cost: 0.7589 data_cost: 0.0020 ips: 52.7104 images/s
[07/28 14:16:04] ppdet.engine INFO: Epoch: [187] [120/732] learning_rate: 0.056071 loss_vfl: 1.013605 loss_bbox: 0.505513 loss_dfl: 0.442143 loss: 1.939698 eta: 1 day, 1:09:58 batch_cost: 0.6592 data_cost: 0.0026 ips: 60.6779 images/s
[07/28 14:16:20] ppdet.engine INFO: Epoch: [187] [140/732] learning_rate: 0.056047 loss_vfl: 0.927727 loss_bbox: 0.433946 loss_dfl: 0.395637 loss: 1.752605 eta: 1 day, 1:09:30 batch_cost: 0.6383 data_cost: 0.0018 ips: 62.6616 images/s
[07/28 14:16:37] ppdet.engine INFO: Epoch: [187] [160/732] learning_rate: 0.056022 loss_vfl: 0.862291 loss_bbox: 0.418172 loss_dfl: 0.384095 loss: 1.674082 eta: 1 day, 1:09:03 batch_cost: 0.6866 data_cost: 0.0025 ips: 58.2581 images/s
[07/28 14:16:53] ppdet.engine INFO: Epoch: [187] [180/732] learning_rate: 0.055998 loss_vfl: 0.994474 loss_bbox: 0.467973 loss_dfl: 0.433786 loss: 1.889042 eta: 1 day, 1:08:36 batch_cost: 0.6707 data_cost: 0.0011 ips: 59.6393 images/s
[07/28 14:17:11] ppdet.engine INFO: Epoch: [187] [200/732] learning_rate: 0.055974 loss_vfl: 0.996528 loss_bbox: 0.473056 loss_dfl: 0.431346 loss: 1.904845 eta: 1 day, 1:08:10 batch_cost: 0.7153 data_cost: 0.0014 ips: 55.9172 images/s
[07/28 14:17:30] ppdet.engine INFO: Epoch: [187] [220/732] learning_rate: 0.055949 loss_vfl: 0.974730 loss_bbox: 0.486513 loss_dfl: 0.443370 loss: 1.898223 eta: 1 day, 1:07:44 batch_cost: 0.7545 data_cost: 0.0013 ips: 53.0158 images/s
[07/28 14:17:47] ppdet.engine INFO: Epoch: [187] [240/732] learning_rate: 0.055925 loss_vfl: 0.967866 loss_bbox: 0.479428 loss_dfl: 0.419771 loss: 1.852350 eta: 1 day, 1:07:17 batch_cost: 0.6801 data_cost: 0.0004 ips: 58.8184 images/s
[07/28 14:18:04] ppdet.engine INFO: Epoch: [187] [260/732] learning_rate: 0.055901 loss_vfl: 0.998809 loss_bbox: 0.468660 loss_dfl: 0.426194 loss: 1.892871 eta: 1 day, 1:06:50 batch_cost: 0.7033 data_cost: 0.0044 ips: 56.8783 images/s
[07/28 14:18:20] ppdet.engine INFO: Epoch: [187] [280/732] learning_rate: 0.055877 loss_vfl: 0.945113 loss_bbox: 0.446705 loss_dfl: 0.406979 loss: 1.775837 eta: 1 day, 1:06:23 batch_cost: 0.6835 data_cost: 0.0031 ips: 58.5252 images/s
[07/28 14:18:38] ppdet.engine INFO: Epoch: [187] [300/732] learning_rate: 0.055852 loss_vfl: 0.994121 loss_bbox: 0.448533 loss_dfl: 0.422727 loss: 1.862358 eta: 1 day, 1:05:57 batch_cost: 0.7548 data_cost: 0.0004 ips: 52.9951 images/s
[07/28 14:18:54] ppdet.engine INFO: Epoch: [187] [320/732] learning_rate: 0.055828 loss_vfl: 0.952914 loss_bbox: 0.444101 loss_dfl: 0.413931 loss: 1.815105 eta: 1 day, 1:05:30 batch_cost: 0.6317 data_cost: 0.0020 ips: 63.3202 images/s
[07/28 14:19:11] ppdet.engine INFO: Epoch: [187] [340/732] learning_rate: 0.055804 loss_vfl: 0.942292 loss_bbox: 0.453353 loss_dfl: 0.414763 loss: 1.815116 eta: 1 day, 1:05:03 batch_cost: 0.6973 data_cost: 0.0003 ips: 57.3680 images/s
[07/28 14:19:28] ppdet.engine INFO: Epoch: [187] [360/732] learning_rate: 0.055779 loss_vfl: 0.981953 loss_bbox: 0.487466 loss_dfl: 0.433291 loss: 1.907311 eta: 1 day, 1:04:36 batch_cost: 0.7112 data_cost: 0.0003 ips: 56.2435 images/s
[07/28 14:19:44] ppdet.engine INFO: Epoch: [187] [380/732] learning_rate: 0.055755 loss_vfl: 0.965188 loss_bbox: 0.481690 loss_dfl: 0.427479 loss: 1.888539 eta: 1 day, 1:04:09 batch_cost: 0.6839 data_cost: 0.0007 ips: 58.4879 images/s
[07/28 14:20:01] ppdet.engine INFO: Epoch: [187] [400/732] learning_rate: 0.055731 loss_vfl: 0.999332 loss_bbox: 0.470205 loss_dfl: 0.426508 loss: 1.897804 eta: 1 day, 1:03:42 batch_cost: 0.6750 data_cost: 0.0009 ips: 59.2624 images/s
[07/28 14:20:19] ppdet.engine INFO: Epoch: [187] [420/732] learning_rate: 0.055707 loss_vfl: 1.002116 loss_bbox: 0.470201 loss_dfl: 0.427332 loss: 1.899555 eta: 1 day, 1:03:16 batch_cost: 0.7434 data_cost: 0.0019 ips: 53.8075 images/s
[07/28 14:20:35] ppdet.engine INFO: Epoch: [187] [440/732] learning_rate: 0.055682 loss_vfl: 0.982471 loss_bbox: 0.476319 loss_dfl: 0.430320 loss: 1.911828 eta: 1 day, 1:02:50 batch_cost: 0.6872 data_cost: 0.0015 ips: 58.2072 images/s
[07/28 14:20:52] ppdet.engine INFO: Epoch: [187] [460/732] learning_rate: 0.055658 loss_vfl: 0.955984 loss_bbox: 0.467420 loss_dfl: 0.417530 loss: 1.835767 eta: 1 day, 1:02:23 batch_cost: 0.7167 data_cost: 0.0013 ips: 55.8078 images/s
[07/28 14:21:08] ppdet.engine INFO: Epoch: [187] [480/732] learning_rate: 0.055634 loss_vfl: 1.007031 loss_bbox: 0.464769 loss_dfl: 0.430139 loss: 1.881252 eta: 1 day, 1:01:56 batch_cost: 0.6528 data_cost: 0.0006 ips: 61.2748 images/s
[07/28 14:21:25] ppdet.engine INFO: Epoch: [187] [500/732] learning_rate: 0.055610 loss_vfl: 0.979346 loss_bbox: 0.469666 loss_dfl: 0.422606 loss: 1.870454 eta: 1 day, 1:01:29 batch_cost: 0.6772 data_cost: 0.0015 ips: 59.0633 images/s
[07/28 14:21:42] ppdet.engine INFO: Epoch: [187] [520/732] learning_rate: 0.055586 loss_vfl: 0.964701 loss_bbox: 0.457380 loss_dfl: 0.415409 loss: 1.829105 eta: 1 day, 1:01:02 batch_cost: 0.7161 data_cost: 0.0004 ips: 55.8584 images/s
[07/28 14:21:58] ppdet.engine INFO: Epoch: [187] [540/732] learning_rate: 0.055561 loss_vfl: 0.957824 loss_bbox: 0.458579 loss_dfl: 0.419317 loss: 1.842182 eta: 1 day, 1:00:35 batch_cost: 0.6644 data_cost: 0.0017 ips: 60.2020 images/s
[07/28 14:22:15] ppdet.engine INFO: Epoch: [187] [560/732] learning_rate: 0.055537 loss_vfl: 0.993287 loss_bbox: 0.457377 loss_dfl: 0.424260 loss: 1.884685 eta: 1 day, 1:00:09 batch_cost: 0.7271 data_cost: 0.0032 ips: 55.0107 images/s
[07/28 14:22:32] ppdet.engine INFO: Epoch: [187] [580/732] learning_rate: 0.055513 loss_vfl: 1.033942 loss_bbox: 0.480466 loss_dfl: 0.450917 loss: 1.982060 eta: 1 day, 0:59:42 batch_cost: 0.6733 data_cost: 0.0003 ips: 59.4100 images/s
[07/28 14:22:49] ppdet.engine INFO: Epoch: [187] [600/732] learning_rate: 0.055489 loss_vfl: 0.975114 loss_bbox: 0.472104 loss_dfl: 0.434629 loss: 1.887546 eta: 1 day, 0:59:16 batch_cost: 0.7042 data_cost: 0.0027 ips: 56.8028 images/s
[07/28 14:23:07] ppdet.engine INFO: Epoch: [187] [620/732] learning_rate: 0.055465 loss_vfl: 0.924014 loss_bbox: 0.424586 loss_dfl: 0.389903 loss: 1.765105 eta: 1 day, 0:58:49 batch_cost: 0.7226 data_cost: 0.0007 ips: 55.3527 images/s
[07/28 14:23:23] ppdet.engine INFO: Epoch: [187] [640/732] learning_rate: 0.055440 loss_vfl: 0.985636 loss_bbox: 0.472584 loss_dfl: 0.419340 loss: 1.864148 eta: 1 day, 0:58:22 batch_cost: 0.6733 data_cost: 0.0003 ips: 59.4089 images/s
[07/28 14:23:39] ppdet.engine INFO: Epoch: [187] [660/732] learning_rate: 0.055416 loss_vfl: 1.071065 loss_bbox: 0.519147 loss_dfl: 0.464448 loss: 2.065866 eta: 1 day, 0:57:55 batch_cost: 0.6794 data_cost: 0.0005 ips: 58.8788 images/s
[07/28 14:23:56] ppdet.engine INFO: Epoch: [187] [680/732] learning_rate: 0.055392 loss_vfl: 0.941978 loss_bbox: 0.430746 loss_dfl: 0.395136 loss: 1.773977 eta: 1 day, 0:57:29 batch_cost: 0.7120 data_cost: 0.0010 ips: 56.1803 images/s
[07/28 14:24:12] ppdet.engine INFO: Epoch: [187] [700/732] learning_rate: 0.055368 loss_vfl: 0.880904 loss_bbox: 0.419115 loss_dfl: 0.389961 loss: 1.690493 eta: 1 day, 0:57:02 batch_cost: 0.6566 data_cost: 0.0017 ips: 60.9178 images/s
[07/28 14:24:29] ppdet.engine INFO: Epoch: [187] [720/732] learning_rate: 0.055344 loss_vfl: 1.046959 loss_bbox: 0.481564 loss_dfl: 0.432635 loss: 1.959055 eta: 1 day, 0:56:35 batch_cost: 0.6755 data_cost: 0.0020 ips: 59.2149 images/s
[07/28 14:24:43] ppdet.engine INFO: Epoch: [188] [  0/732] learning_rate: 0.055329 loss_vfl: 0.945711 loss_bbox: 0.450792 loss_dfl: 0.410593 loss: 1.796037 eta: 1 day, 0:56:21 batch_cost: 0.8505 data_cost: 0.2538 ips: 47.0290 images/s
[07/28 14:25:02] ppdet.engine INFO: Epoch: [188] [ 20/732] learning_rate: 0.055305 loss_vfl: 0.964769 loss_bbox: 0.476211 loss_dfl: 0.431380 loss: 1.901800 eta: 1 day, 0:55:55 batch_cost: 0.7528 data_cost: 0.0016 ips: 53.1359 images/s
[07/28 14:25:19] ppdet.engine INFO: Epoch: [188] [ 40/732] learning_rate: 0.055281 loss_vfl: 0.926656 loss_bbox: 0.437203 loss_dfl: 0.400185 loss: 1.747580 eta: 1 day, 0:55:28 batch_cost: 0.7213 data_cost: 0.0003 ips: 55.4558 images/s
[07/28 14:25:37] ppdet.engine INFO: Epoch: [188] [ 60/732] learning_rate: 0.055257 loss_vfl: 0.926810 loss_bbox: 0.481318 loss_dfl: 0.419073 loss: 1.819359 eta: 1 day, 0:55:03 batch_cost: 0.7696 data_cost: 0.0019 ips: 51.9783 images/s
[07/28 14:25:53] ppdet.engine INFO: Epoch: [188] [ 80/732] learning_rate: 0.055233 loss_vfl: 0.920074 loss_bbox: 0.457843 loss_dfl: 0.407648 loss: 1.796741 eta: 1 day, 0:54:36 batch_cost: 0.6697 data_cost: 0.0016 ips: 59.7276 images/s
[07/28 14:26:09] ppdet.engine INFO: Epoch: [188] [100/732] learning_rate: 0.055208 loss_vfl: 0.962574 loss_bbox: 0.472832 loss_dfl: 0.418592 loss: 1.847875 eta: 1 day, 0:54:09 batch_cost: 0.6840 data_cost: 0.0010 ips: 58.4771 images/s
[07/28 14:26:27] ppdet.engine INFO: Epoch: [188] [120/732] learning_rate: 0.055184 loss_vfl: 0.959636 loss_bbox: 0.450788 loss_dfl: 0.410157 loss: 1.798426 eta: 1 day, 0:53:43 batch_cost: 0.7254 data_cost: 0.0018 ips: 55.1412 images/s
[07/28 14:26:43] ppdet.engine INFO: Epoch: [188] [140/732] learning_rate: 0.055160 loss_vfl: 0.949823 loss_bbox: 0.452633 loss_dfl: 0.418797 loss: 1.823257 eta: 1 day, 0:53:16 batch_cost: 0.6964 data_cost: 0.0016 ips: 57.4416 images/s
[07/28 14:26:59] ppdet.engine INFO: Epoch: [188] [160/732] learning_rate: 0.055136 loss_vfl: 0.938571 loss_bbox: 0.458617 loss_dfl: 0.418396 loss: 1.819772 eta: 1 day, 0:52:49 batch_cost: 0.6723 data_cost: 0.0003 ips: 59.5009 images/s
[07/28 14:27:15] ppdet.engine INFO: Epoch: [188] [180/732] learning_rate: 0.055112 loss_vfl: 0.954286 loss_bbox: 0.455765 loss_dfl: 0.420721 loss: 1.841528 eta: 1 day, 0:52:22 batch_cost: 0.6318 data_cost: 0.0028 ips: 63.3116 images/s
[07/28 14:27:33] ppdet.engine INFO: Epoch: [188] [200/732] learning_rate: 0.055088 loss_vfl: 0.949841 loss_bbox: 0.448938 loss_dfl: 0.402376 loss: 1.797094 eta: 1 day, 0:51:56 batch_cost: 0.7579 data_cost: 0.0010 ips: 52.7758 images/s
[07/28 14:27:50] ppdet.engine INFO: Epoch: [188] [220/732] learning_rate: 0.055064 loss_vfl: 0.905894 loss_bbox: 0.424697 loss_dfl: 0.382188 loss: 1.708367 eta: 1 day, 0:51:30 batch_cost: 0.7293 data_cost: 0.0021 ips: 54.8499 images/s
[07/28 14:28:07] ppdet.engine INFO: Epoch: [188] [240/732] learning_rate: 0.055040 loss_vfl: 0.915042 loss_bbox: 0.458777 loss_dfl: 0.403418 loss: 1.775962 eta: 1 day, 0:51:03 batch_cost: 0.7173 data_cost: 0.0003 ips: 55.7610 images/s
[07/28 14:28:24] ppdet.engine INFO: Epoch: [188] [260/732] learning_rate: 0.055016 loss_vfl: 1.011952 loss_bbox: 0.464727 loss_dfl: 0.431043 loss: 1.898355 eta: 1 day, 0:50:36 batch_cost: 0.6826 data_cost: 0.0039 ips: 58.6016 images/s
[07/28 14:28:41] ppdet.engine INFO: Epoch: [188] [280/732] learning_rate: 0.054991 loss_vfl: 0.939828 loss_bbox: 0.456782 loss_dfl: 0.409466 loss: 1.812820 eta: 1 day, 0:50:10 batch_cost: 0.6982 data_cost: 0.0028 ips: 57.2939 images/s
[07/28 14:28:57] ppdet.engine INFO: Epoch: [188] [300/732] learning_rate: 0.054967 loss_vfl: 0.959962 loss_bbox: 0.480779 loss_dfl: 0.425745 loss: 1.865580 eta: 1 day, 0:49:43 batch_cost: 0.6571 data_cost: 0.0003 ips: 60.8720 images/s
[07/28 14:29:14] ppdet.engine INFO: Epoch: [188] [320/732] learning_rate: 0.054943 loss_vfl: 0.952900 loss_bbox: 0.436462 loss_dfl: 0.413221 loss: 1.823182 eta: 1 day, 0:49:16 batch_cost: 0.7260 data_cost: 0.0040 ips: 55.0987 images/s
[07/28 14:29:31] ppdet.engine INFO: Epoch: [188] [340/732] learning_rate: 0.054919 loss_vfl: 0.951486 loss_bbox: 0.455915 loss_dfl: 0.409805 loss: 1.830089 eta: 1 day, 0:48:50 batch_cost: 0.7103 data_cost: 0.0003 ips: 56.3156 images/s
[07/28 14:29:48] ppdet.engine INFO: Epoch: [188] [360/732] learning_rate: 0.054895 loss_vfl: 0.974474 loss_bbox: 0.460576 loss_dfl: 0.414694 loss: 1.864356 eta: 1 day, 0:48:23 batch_cost: 0.6977 data_cost: 0.0003 ips: 57.3285 images/s
[07/28 14:30:04] ppdet.engine INFO: Epoch: [188] [380/732] learning_rate: 0.054871 loss_vfl: 0.980109 loss_bbox: 0.449870 loss_dfl: 0.422351 loss: 1.851002 eta: 1 day, 0:47:57 batch_cost: 0.6726 data_cost: 0.0024 ips: 59.4744 images/s
[07/28 14:30:21] ppdet.engine INFO: Epoch: [188] [400/732] learning_rate: 0.054847 loss_vfl: 0.986427 loss_bbox: 0.468033 loss_dfl: 0.423650 loss: 1.878788 eta: 1 day, 0:47:30 batch_cost: 0.6673 data_cost: 0.0007 ips: 59.9466 images/s
[07/28 14:30:37] ppdet.engine INFO: Epoch: [188] [420/732] learning_rate: 0.054823 loss_vfl: 0.943988 loss_bbox: 0.446888 loss_dfl: 0.397202 loss: 1.781341 eta: 1 day, 0:47:03 batch_cost: 0.6882 data_cost: 0.0020 ips: 58.1252 images/s
[07/28 14:30:54] ppdet.engine INFO: Epoch: [188] [440/732] learning_rate: 0.054799 loss_vfl: 0.896076 loss_bbox: 0.429078 loss_dfl: 0.391331 loss: 1.720584 eta: 1 day, 0:46:36 batch_cost: 0.6798 data_cost: 0.0011 ips: 58.8414 images/s
[07/28 14:31:10] ppdet.engine INFO: Epoch: [188] [460/732] learning_rate: 0.054775 loss_vfl: 0.962392 loss_bbox: 0.451087 loss_dfl: 0.425727 loss: 1.876779 eta: 1 day, 0:46:09 batch_cost: 0.6744 data_cost: 0.0013 ips: 59.3126 images/s
[07/28 14:31:26] ppdet.engine INFO: Epoch: [188] [480/732] learning_rate: 0.054751 loss_vfl: 0.997933 loss_bbox: 0.489745 loss_dfl: 0.434932 loss: 1.926993 eta: 1 day, 0:45:42 batch_cost: 0.6297 data_cost: 0.0015 ips: 63.5231 images/s
[07/28 14:31:42] ppdet.engine INFO: Epoch: [188] [500/732] learning_rate: 0.054727 loss_vfl: 0.925452 loss_bbox: 0.487921 loss_dfl: 0.417676 loss: 1.819129 eta: 1 day, 0:45:15 batch_cost: 0.6836 data_cost: 0.0047 ips: 58.5165 images/s
[07/28 14:32:00] ppdet.engine INFO: Epoch: [188] [520/732] learning_rate: 0.054703 loss_vfl: 0.917303 loss_bbox: 0.451225 loss_dfl: 0.404449 loss: 1.764707 eta: 1 day, 0:44:49 batch_cost: 0.7030 data_cost: 0.0003 ips: 56.8959 images/s
[07/28 14:32:16] ppdet.engine INFO: Epoch: [188] [540/732] learning_rate: 0.054679 loss_vfl: 0.947081 loss_bbox: 0.430870 loss_dfl: 0.391103 loss: 1.757841 eta: 1 day, 0:44:22 batch_cost: 0.6646 data_cost: 0.0007 ips: 60.1852 images/s
[07/28 14:32:31] ppdet.engine INFO: Epoch: [188] [560/732] learning_rate: 0.054655 loss_vfl: 0.974836 loss_bbox: 0.455790 loss_dfl: 0.419858 loss: 1.845155 eta: 1 day, 0:43:55 batch_cost: 0.6376 data_cost: 0.0016 ips: 62.7305 images/s
[07/28 14:32:49] ppdet.engine INFO: Epoch: [188] [580/732] learning_rate: 0.054631 loss_vfl: 1.024537 loss_bbox: 0.483317 loss_dfl: 0.451582 loss: 1.965090 eta: 1 day, 0:43:29 batch_cost: 0.7340 data_cost: 0.0006 ips: 54.4991 images/s
[07/28 14:33:06] ppdet.engine INFO: Epoch: [188] [600/732] learning_rate: 0.054607 loss_vfl: 0.971479 loss_bbox: 0.447545 loss_dfl: 0.409816 loss: 1.824354 eta: 1 day, 0:43:02 batch_cost: 0.7027 data_cost: 0.0066 ips: 56.9228 images/s
[07/28 14:33:22] ppdet.engine INFO: Epoch: [188] [620/732] learning_rate: 0.054583 loss_vfl: 0.938163 loss_bbox: 0.452628 loss_dfl: 0.417388 loss: 1.819448 eta: 1 day, 0:42:35 batch_cost: 0.6680 data_cost: 0.0027 ips: 59.8825 images/s
[07/28 14:33:38] ppdet.engine INFO: Epoch: [188] [640/732] learning_rate: 0.054559 loss_vfl: 0.900543 loss_bbox: 0.423465 loss_dfl: 0.394219 loss: 1.701624 eta: 1 day, 0:42:09 batch_cost: 0.6842 data_cost: 0.0004 ips: 58.4627 images/s
[07/28 14:33:55] ppdet.engine INFO: Epoch: [188] [660/732] learning_rate: 0.054535 loss_vfl: 0.931307 loss_bbox: 0.453567 loss_dfl: 0.401869 loss: 1.783731 eta: 1 day, 0:41:42 batch_cost: 0.6923 data_cost: 0.0016 ips: 57.7823 images/s
[07/28 14:34:12] ppdet.engine INFO: Epoch: [188] [680/732] learning_rate: 0.054511 loss_vfl: 0.945594 loss_bbox: 0.454060 loss_dfl: 0.420565 loss: 1.819516 eta: 1 day, 0:41:15 batch_cost: 0.6897 data_cost: 0.0046 ips: 57.9921 images/s
[07/28 14:34:28] ppdet.engine INFO: Epoch: [188] [700/732] learning_rate: 0.054487 loss_vfl: 0.945038 loss_bbox: 0.444297 loss_dfl: 0.411760 loss: 1.824340 eta: 1 day, 0:40:49 batch_cost: 0.6908 data_cost: 0.0008 ips: 57.9063 images/s
[07/28 14:34:45] ppdet.engine INFO: Epoch: [188] [720/732] learning_rate: 0.054463 loss_vfl: 0.953718 loss_bbox: 0.458638 loss_dfl: 0.424093 loss: 1.844511 eta: 1 day, 0:40:22 batch_cost: 0.7013 data_cost: 0.0019 ips: 57.0345 images/s
[07/28 14:35:01] ppdet.engine INFO: Epoch: [189] [  0/732] learning_rate: 0.054449 loss_vfl: 0.961031 loss_bbox: 0.460399 loss_dfl: 0.422153 loss: 1.844511 eta: 1 day, 0:40:09 batch_cost: 0.9159 data_cost: 0.3053 ips: 43.6723 images/s
[07/28 14:35:20] ppdet.engine INFO: Epoch: [189] [ 20/732] learning_rate: 0.054425 loss_vfl: 1.034886 loss_bbox: 0.505761 loss_dfl: 0.443335 loss: 1.978556 eta: 1 day, 0:39:43 batch_cost: 0.7338 data_cost: 0.0032 ips: 54.5093 images/s
[07/28 14:35:37] ppdet.engine INFO: Epoch: [189] [ 40/732] learning_rate: 0.054401 loss_vfl: 0.968560 loss_bbox: 0.470925 loss_dfl: 0.416268 loss: 1.837220 eta: 1 day, 0:39:17 batch_cost: 0.7040 data_cost: 0.0020 ips: 56.8161 images/s
[07/28 14:35:55] ppdet.engine INFO: Epoch: [189] [ 60/732] learning_rate: 0.054377 loss_vfl: 0.898754 loss_bbox: 0.459538 loss_dfl: 0.408135 loss: 1.744453 eta: 1 day, 0:38:51 batch_cost: 0.7658 data_cost: 0.0004 ips: 52.2302 images/s
[07/28 14:36:11] ppdet.engine INFO: Epoch: [189] [ 80/732] learning_rate: 0.054353 loss_vfl: 0.988660 loss_bbox: 0.483984 loss_dfl: 0.433113 loss: 1.912730 eta: 1 day, 0:38:24 batch_cost: 0.6572 data_cost: 0.0012 ips: 60.8609 images/s
[07/28 14:36:27] ppdet.engine INFO: Epoch: [189] [100/732] learning_rate: 0.054329 loss_vfl: 0.972439 loss_bbox: 0.463633 loss_dfl: 0.411543 loss: 1.845816 eta: 1 day, 0:37:57 batch_cost: 0.6600 data_cost: 0.0005 ips: 60.6059 images/s
[07/28 14:36:43] ppdet.engine INFO: Epoch: [189] [120/732] learning_rate: 0.054305 loss_vfl: 0.922866 loss_bbox: 0.463456 loss_dfl: 0.416198 loss: 1.812154 eta: 1 day, 0:37:30 batch_cost: 0.6577 data_cost: 0.0013 ips: 60.8143 images/s
[07/28 14:37:00] ppdet.engine INFO: Epoch: [189] [140/732] learning_rate: 0.054281 loss_vfl: 1.001979 loss_bbox: 0.476528 loss_dfl: 0.433613 loss: 1.935413 eta: 1 day, 0:37:03 batch_cost: 0.6897 data_cost: 0.0020 ips: 57.9999 images/s
[07/28 14:37:17] ppdet.engine INFO: Epoch: [189] [160/732] learning_rate: 0.054257 loss_vfl: 0.985157 loss_bbox: 0.459053 loss_dfl: 0.406554 loss: 1.842165 eta: 1 day, 0:36:37 batch_cost: 0.7144 data_cost: 0.0013 ips: 55.9909 images/s
[07/28 14:37:34] ppdet.engine INFO: Epoch: [189] [180/732] learning_rate: 0.054233 loss_vfl: 0.952809 loss_bbox: 0.459984 loss_dfl: 0.414627 loss: 1.826401 eta: 1 day, 0:36:10 batch_cost: 0.6684 data_cost: 0.0013 ips: 59.8401 images/s
[07/28 14:37:51] ppdet.engine INFO: Epoch: [189] [200/732] learning_rate: 0.054209 loss_vfl: 0.973449 loss_bbox: 0.472797 loss_dfl: 0.428725 loss: 1.904782 eta: 1 day, 0:35:44 batch_cost: 0.7252 data_cost: 0.0025 ips: 55.1553 images/s
[07/28 14:38:07] ppdet.engine INFO: Epoch: [189] [220/732] learning_rate: 0.054185 loss_vfl: 0.946433 loss_bbox: 0.459880 loss_dfl: 0.428268 loss: 1.848200 eta: 1 day, 0:35:18 batch_cost: 0.6853 data_cost: 0.0022 ips: 58.3668 images/s
[07/28 14:38:24] ppdet.engine INFO: Epoch: [189] [240/732] learning_rate: 0.054161 loss_vfl: 0.931741 loss_bbox: 0.453155 loss_dfl: 0.410876 loss: 1.792131 eta: 1 day, 0:34:52 batch_cost: 0.7327 data_cost: 0.0003 ips: 54.5915 images/s
[07/28 14:38:42] ppdet.engine INFO: Epoch: [189] [260/732] learning_rate: 0.054138 loss_vfl: 0.936356 loss_bbox: 0.439813 loss_dfl: 0.401870 loss: 1.773302 eta: 1 day, 0:34:26 batch_cost: 0.7582 data_cost: 0.0004 ips: 52.7545 images/s
[07/28 14:39:00] ppdet.engine INFO: Epoch: [189] [280/732] learning_rate: 0.054114 loss_vfl: 0.934904 loss_bbox: 0.454691 loss_dfl: 0.408596 loss: 1.779989 eta: 1 day, 0:34:00 batch_cost: 0.7225 data_cost: 0.0005 ips: 55.3644 images/s
[07/28 14:39:17] ppdet.engine INFO: Epoch: [189] [300/732] learning_rate: 0.054090 loss_vfl: 0.975757 loss_bbox: 0.461268 loss_dfl: 0.424584 loss: 1.875415 eta: 1 day, 0:33:33 batch_cost: 0.6918 data_cost: 0.0004 ips: 57.8192 images/s
[07/28 14:39:33] ppdet.engine INFO: Epoch: [189] [320/732] learning_rate: 0.054066 loss_vfl: 0.941783 loss_bbox: 0.458794 loss_dfl: 0.426230 loss: 1.818890 eta: 1 day, 0:33:06 batch_cost: 0.6523 data_cost: 0.0011 ips: 61.3208 images/s
[07/28 14:39:50] ppdet.engine INFO: Epoch: [189] [340/732] learning_rate: 0.054042 loss_vfl: 0.935731 loss_bbox: 0.442825 loss_dfl: 0.405657 loss: 1.768605 eta: 1 day, 0:32:40 batch_cost: 0.7336 data_cost: 0.0035 ips: 54.5263 images/s
[07/28 14:40:07] ppdet.engine INFO: Epoch: [189] [360/732] learning_rate: 0.054018 loss_vfl: 0.920355 loss_bbox: 0.437774 loss_dfl: 0.392946 loss: 1.726340 eta: 1 day, 0:32:13 batch_cost: 0.6656 data_cost: 0.0005 ips: 60.0941 images/s
[07/28 14:40:24] ppdet.engine INFO: Epoch: [189] [380/732] learning_rate: 0.053994 loss_vfl: 0.965196 loss_bbox: 0.459874 loss_dfl: 0.427521 loss: 1.859614 eta: 1 day, 0:31:46 batch_cost: 0.6485 data_cost: 0.0005 ips: 61.6765 images/s
[07/28 14:40:42] ppdet.engine INFO: Epoch: [189] [400/732] learning_rate: 0.053970 loss_vfl: 0.949021 loss_bbox: 0.449419 loss_dfl: 0.403976 loss: 1.788058 eta: 1 day, 0:31:20 batch_cost: 0.7204 data_cost: 0.0028 ips: 55.5266 images/s
[07/28 14:40:58] ppdet.engine INFO: Epoch: [189] [420/732] learning_rate: 0.053947 loss_vfl: 1.009670 loss_bbox: 0.491613 loss_dfl: 0.439454 loss: 1.936397 eta: 1 day, 0:30:53 batch_cost: 0.6727 data_cost: 0.0004 ips: 59.4628 images/s
[07/28 14:41:14] ppdet.engine INFO: Epoch: [189] [440/732] learning_rate: 0.053923 loss_vfl: 0.937779 loss_bbox: 0.462778 loss_dfl: 0.412409 loss: 1.809090 eta: 1 day, 0:30:26 batch_cost: 0.6612 data_cost: 0.0003 ips: 60.4989 images/s
[07/28 14:41:32] ppdet.engine INFO: Epoch: [189] [460/732] learning_rate: 0.053899 loss_vfl: 1.003638 loss_bbox: 0.483533 loss_dfl: 0.430840 loss: 1.945575 eta: 1 day, 0:30:00 batch_cost: 0.7157 data_cost: 0.0004 ips: 55.8861 images/s
[07/28 14:41:47] ppdet.engine INFO: Epoch: [189] [480/732] learning_rate: 0.053875 loss_vfl: 0.931758 loss_bbox: 0.447047 loss_dfl: 0.407654 loss: 1.789706 eta: 1 day, 0:29:33 batch_cost: 0.6575 data_cost: 0.0004 ips: 60.8385 images/s
[07/28 14:42:05] ppdet.engine INFO: Epoch: [189] [500/732] learning_rate: 0.053851 loss_vfl: 0.948999 loss_bbox: 0.449358 loss_dfl: 0.419683 loss: 1.855534 eta: 1 day, 0:29:07 batch_cost: 0.7210 data_cost: 0.0021 ips: 55.4784 images/s
[07/28 14:42:21] ppdet.engine INFO: Epoch: [189] [520/732] learning_rate: 0.053827 loss_vfl: 0.962273 loss_bbox: 0.458743 loss_dfl: 0.422435 loss: 1.849053 eta: 1 day, 0:28:41 batch_cost: 0.6777 data_cost: 0.0029 ips: 59.0268 images/s
[07/28 14:42:39] ppdet.engine INFO: Epoch: [189] [540/732] learning_rate: 0.053804 loss_vfl: 0.974786 loss_bbox: 0.453143 loss_dfl: 0.413277 loss: 1.820179 eta: 1 day, 0:28:14 batch_cost: 0.7080 data_cost: 0.0027 ips: 56.4987 images/s
[07/28 14:42:54] ppdet.engine INFO: Epoch: [189] [560/732] learning_rate: 0.053780 loss_vfl: 0.912862 loss_bbox: 0.430164 loss_dfl: 0.396379 loss: 1.748914 eta: 1 day, 0:27:47 batch_cost: 0.6442 data_cost: 0.0016 ips: 62.0910 images/s
[07/28 14:43:10] ppdet.engine INFO: Epoch: [189] [580/732] learning_rate: 0.053756 loss_vfl: 0.974040 loss_bbox: 0.460944 loss_dfl: 0.428705 loss: 1.884967 eta: 1 day, 0:27:20 batch_cost: 0.6318 data_cost: 0.0009 ips: 63.3132 images/s
[07/28 14:43:28] ppdet.engine INFO: Epoch: [189] [600/732] learning_rate: 0.053732 loss_vfl: 0.961563 loss_bbox: 0.455780 loss_dfl: 0.428536 loss: 1.863016 eta: 1 day, 0:26:54 batch_cost: 0.7263 data_cost: 0.0003 ips: 55.0733 images/s
[07/28 14:43:45] ppdet.engine INFO: Epoch: [189] [620/732] learning_rate: 0.053708 loss_vfl: 0.947519 loss_bbox: 0.439575 loss_dfl: 0.409457 loss: 1.820661 eta: 1 day, 0:26:27 batch_cost: 0.6468 data_cost: 0.0079 ips: 61.8405 images/s
[07/28 14:44:02] ppdet.engine INFO: Epoch: [189] [640/732] learning_rate: 0.053685 loss_vfl: 0.939040 loss_bbox: 0.462329 loss_dfl: 0.418717 loss: 1.813549 eta: 1 day, 0:26:01 batch_cost: 0.7077 data_cost: 0.0011 ips: 56.5246 images/s
[07/28 14:44:19] ppdet.engine INFO: Epoch: [189] [660/732] learning_rate: 0.053661 loss_vfl: 0.990681 loss_bbox: 0.455944 loss_dfl: 0.418768 loss: 1.865668 eta: 1 day, 0:25:34 batch_cost: 0.6878 data_cost: 0.0010 ips: 58.1588 images/s
[07/28 14:44:36] ppdet.engine INFO: Epoch: [189] [680/732] learning_rate: 0.053637 loss_vfl: 0.914319 loss_bbox: 0.430945 loss_dfl: 0.393835 loss: 1.740723 eta: 1 day, 0:25:08 batch_cost: 0.7101 data_cost: 0.0008 ips: 56.3327 images/s
[07/28 14:44:53] ppdet.engine INFO: Epoch: [189] [700/732] learning_rate: 0.053613 loss_vfl: 0.958492 loss_bbox: 0.481592 loss_dfl: 0.411203 loss: 1.797526 eta: 1 day, 0:24:42 batch_cost: 0.7122 data_cost: 0.0004 ips: 56.1610 images/s
[07/28 14:45:11] ppdet.engine INFO: Epoch: [189] [720/732] learning_rate: 0.053590 loss_vfl: 0.893923 loss_bbox: 0.439125 loss_dfl: 0.390165 loss: 1.710205 eta: 1 day, 0:24:16 batch_cost: 0.7615 data_cost: 0.0015 ips: 52.5288 images/s
[07/28 14:45:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 14:45:19] ppdet.engine INFO: Eval iter: 0
[07/28 14:45:36] ppdet.engine INFO: Eval iter: 100
[07/28 14:45:45] ppdet.engine INFO: Eval iter: 200
[07/28 14:45:54] ppdet.engine INFO: Eval iter: 300
[07/28 14:46:03] ppdet.engine INFO: Eval iter: 400
[07/28 14:46:12] ppdet.engine INFO: Eval iter: 500
[07/28 14:46:21] ppdet.engine INFO: Eval iter: 600
[07/28 14:46:37] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.93s)
creating index...
index created!
[07/28 14:46:38] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.78s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.40s).
Accumulating evaluation results...
DONE (t=19.15s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.285
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.421
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.304
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.108
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.305
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.441
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.267
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.437
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.466
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.201
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.521
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.693
[07/28 14:48:44] ppdet.engine INFO: Total sample number: 4952, averge FPS: 76.96292399946454
[07/28 14:48:44] ppdet.engine INFO: Best test bbox ap is 0.285.
[07/28 14:48:44] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 14:48:45] ppdet.engine INFO: Epoch: [190] [  0/732] learning_rate: 0.053575 loss_vfl: 0.964476 loss_bbox: 0.461154 loss_dfl: 0.426295 loss: 1.857357 eta: 1 day, 0:23:59 batch_cost: 0.6018 data_cost: 0.0008 ips: 66.4712 images/s
[07/28 14:49:01] ppdet.engine INFO: Epoch: [190] [ 20/732] learning_rate: 0.053552 loss_vfl: 0.977559 loss_bbox: 0.465951 loss_dfl: 0.433620 loss: 1.873373 eta: 1 day, 0:23:32 batch_cost: 0.6395 data_cost: 0.0017 ips: 62.5487 images/s
[07/28 14:49:18] ppdet.engine INFO: Epoch: [190] [ 40/732] learning_rate: 0.053528 loss_vfl: 0.981502 loss_bbox: 0.476467 loss_dfl: 0.429845 loss: 1.868895 eta: 1 day, 0:23:05 batch_cost: 0.6854 data_cost: 0.0045 ips: 58.3592 images/s
[07/28 14:49:36] ppdet.engine INFO: Epoch: [190] [ 60/732] learning_rate: 0.053504 loss_vfl: 0.911059 loss_bbox: 0.434808 loss_dfl: 0.398938 loss: 1.765792 eta: 1 day, 0:22:39 batch_cost: 0.7342 data_cost: 0.0017 ips: 54.4776 images/s
[07/28 14:49:53] ppdet.engine INFO: Epoch: [190] [ 80/732] learning_rate: 0.053480 loss_vfl: 0.927558 loss_bbox: 0.436764 loss_dfl: 0.400870 loss: 1.756101 eta: 1 day, 0:22:13 batch_cost: 0.7393 data_cost: 0.0010 ips: 54.1021 images/s
[07/28 14:50:10] ppdet.engine INFO: Epoch: [190] [100/732] learning_rate: 0.053457 loss_vfl: 0.988559 loss_bbox: 0.456443 loss_dfl: 0.416880 loss: 1.833730 eta: 1 day, 0:21:47 batch_cost: 0.7125 data_cost: 0.0023 ips: 56.1373 images/s
[07/28 14:50:27] ppdet.engine INFO: Epoch: [190] [120/732] learning_rate: 0.053433 loss_vfl: 0.945670 loss_bbox: 0.425499 loss_dfl: 0.401448 loss: 1.749091 eta: 1 day, 0:21:21 batch_cost: 0.7073 data_cost: 0.0025 ips: 56.5505 images/s
[07/28 14:50:44] ppdet.engine INFO: Epoch: [190] [140/732] learning_rate: 0.053409 loss_vfl: 0.944504 loss_bbox: 0.447457 loss_dfl: 0.408514 loss: 1.783217 eta: 1 day, 0:20:55 batch_cost: 0.6866 data_cost: 0.0017 ips: 58.2565 images/s
[07/28 14:51:01] ppdet.engine INFO: Epoch: [190] [160/732] learning_rate: 0.053385 loss_vfl: 0.971922 loss_bbox: 0.465653 loss_dfl: 0.425957 loss: 1.891645 eta: 1 day, 0:20:28 batch_cost: 0.6912 data_cost: 0.0022 ips: 57.8698 images/s
[07/28 14:51:18] ppdet.engine INFO: Epoch: [190] [180/732] learning_rate: 0.053362 loss_vfl: 0.942970 loss_bbox: 0.452784 loss_dfl: 0.415235 loss: 1.820588 eta: 1 day, 0:20:02 batch_cost: 0.6983 data_cost: 0.0024 ips: 57.2794 images/s
[07/28 14:51:36] ppdet.engine INFO: Epoch: [190] [200/732] learning_rate: 0.053338 loss_vfl: 0.975524 loss_bbox: 0.446821 loss_dfl: 0.413098 loss: 1.828087 eta: 1 day, 0:19:36 batch_cost: 0.7191 data_cost: 0.0033 ips: 55.6232 images/s
[07/28 14:51:53] ppdet.engine INFO: Epoch: [190] [220/732] learning_rate: 0.053314 loss_vfl: 0.945131 loss_bbox: 0.447140 loss_dfl: 0.409212 loss: 1.803210 eta: 1 day, 0:19:10 batch_cost: 0.7247 data_cost: 0.0018 ips: 55.1989 images/s
[07/28 14:52:09] ppdet.engine INFO: Epoch: [190] [240/732] learning_rate: 0.053291 loss_vfl: 0.981239 loss_bbox: 0.451175 loss_dfl: 0.415668 loss: 1.853061 eta: 1 day, 0:18:43 batch_cost: 0.6944 data_cost: 0.0019 ips: 57.6070 images/s
[07/28 14:52:27] ppdet.engine INFO: Epoch: [190] [260/732] learning_rate: 0.053267 loss_vfl: 0.928226 loss_bbox: 0.442055 loss_dfl: 0.407026 loss: 1.753264 eta: 1 day, 0:18:17 batch_cost: 0.7393 data_cost: 0.0015 ips: 54.1052 images/s
[07/28 14:52:42] ppdet.engine INFO: Epoch: [190] [280/732] learning_rate: 0.053243 loss_vfl: 0.927855 loss_bbox: 0.453722 loss_dfl: 0.403062 loss: 1.806941 eta: 1 day, 0:17:50 batch_cost: 0.6204 data_cost: 0.0013 ips: 64.4769 images/s
[07/28 14:52:58] ppdet.engine INFO: Epoch: [190] [300/732] learning_rate: 0.053220 loss_vfl: 1.026511 loss_bbox: 0.484120 loss_dfl: 0.445085 loss: 1.967611 eta: 1 day, 0:17:23 batch_cost: 0.6559 data_cost: 0.0027 ips: 60.9887 images/s
[07/28 14:53:16] ppdet.engine INFO: Epoch: [190] [320/732] learning_rate: 0.053196 loss_vfl: 0.956703 loss_bbox: 0.462768 loss_dfl: 0.419620 loss: 1.806813 eta: 1 day, 0:16:58 batch_cost: 0.7874 data_cost: 0.0023 ips: 50.8008 images/s
[07/28 14:53:33] ppdet.engine INFO: Epoch: [190] [340/732] learning_rate: 0.053172 loss_vfl: 0.972396 loss_bbox: 0.464653 loss_dfl: 0.424861 loss: 1.855023 eta: 1 day, 0:16:32 batch_cost: 0.7231 data_cost: 0.0060 ips: 55.3182 images/s
[07/28 14:53:49] ppdet.engine INFO: Epoch: [190] [360/732] learning_rate: 0.053149 loss_vfl: 0.947095 loss_bbox: 0.444472 loss_dfl: 0.404953 loss: 1.791127 eta: 1 day, 0:16:06 batch_cost: 0.6954 data_cost: 0.0017 ips: 57.5176 images/s
[07/28 14:54:06] ppdet.engine INFO: Epoch: [190] [380/732] learning_rate: 0.053125 loss_vfl: 1.004676 loss_bbox: 0.482537 loss_dfl: 0.442739 loss: 1.938492 eta: 1 day, 0:15:40 batch_cost: 0.7196 data_cost: 0.0031 ips: 55.5880 images/s
[07/28 14:54:23] ppdet.engine INFO: Epoch: [190] [400/732] learning_rate: 0.053101 loss_vfl: 0.960342 loss_bbox: 0.481777 loss_dfl: 0.429601 loss: 1.872077 eta: 1 day, 0:15:13 batch_cost: 0.6491 data_cost: 0.0003 ips: 61.6281 images/s
[07/28 14:54:39] ppdet.engine INFO: Epoch: [190] [420/732] learning_rate: 0.053078 loss_vfl: 0.910091 loss_bbox: 0.433115 loss_dfl: 0.394056 loss: 1.728295 eta: 1 day, 0:14:46 batch_cost: 0.6726 data_cost: 0.0014 ips: 59.4681 images/s
[07/28 14:54:56] ppdet.engine INFO: Epoch: [190] [440/732] learning_rate: 0.053054 loss_vfl: 0.935630 loss_bbox: 0.434850 loss_dfl: 0.394871 loss: 1.754711 eta: 1 day, 0:14:20 batch_cost: 0.7339 data_cost: 0.0012 ips: 54.5069 images/s
[07/28 14:55:13] ppdet.engine INFO: Epoch: [190] [460/732] learning_rate: 0.053030 loss_vfl: 0.947945 loss_bbox: 0.445842 loss_dfl: 0.410424 loss: 1.809345 eta: 1 day, 0:13:54 batch_cost: 0.6707 data_cost: 0.0059 ips: 59.6410 images/s
[07/28 14:55:30] ppdet.engine INFO: Epoch: [190] [480/732] learning_rate: 0.053007 loss_vfl: 0.914033 loss_bbox: 0.447246 loss_dfl: 0.404565 loss: 1.758881 eta: 1 day, 0:13:28 batch_cost: 0.6965 data_cost: 0.0037 ips: 57.4279 images/s
[07/28 14:55:47] ppdet.engine INFO: Epoch: [190] [500/732] learning_rate: 0.052983 loss_vfl: 0.935813 loss_bbox: 0.451950 loss_dfl: 0.409117 loss: 1.789349 eta: 1 day, 0:13:01 batch_cost: 0.6729 data_cost: 0.0015 ips: 59.4434 images/s
[07/28 14:56:03] ppdet.engine INFO: Epoch: [190] [520/732] learning_rate: 0.052960 loss_vfl: 0.984509 loss_bbox: 0.470100 loss_dfl: 0.429880 loss: 1.873093 eta: 1 day, 0:12:35 batch_cost: 0.6870 data_cost: 0.0023 ips: 58.2263 images/s
[07/28 14:56:20] ppdet.engine INFO: Epoch: [190] [540/732] learning_rate: 0.052936 loss_vfl: 0.944450 loss_bbox: 0.456881 loss_dfl: 0.420256 loss: 1.821587 eta: 1 day, 0:12:08 batch_cost: 0.6937 data_cost: 0.0015 ips: 57.6584 images/s
[07/28 14:56:38] ppdet.engine INFO: Epoch: [190] [560/732] learning_rate: 0.052912 loss_vfl: 0.969995 loss_bbox: 0.450519 loss_dfl: 0.421562 loss: 1.832928 eta: 1 day, 0:11:42 batch_cost: 0.7232 data_cost: 0.0020 ips: 55.3118 images/s
[07/28 14:56:54] ppdet.engine INFO: Epoch: [190] [580/732] learning_rate: 0.052889 loss_vfl: 0.956255 loss_bbox: 0.464769 loss_dfl: 0.419226 loss: 1.828158 eta: 1 day, 0:11:15 batch_cost: 0.6503 data_cost: 0.0027 ips: 61.5059 images/s
[07/28 14:57:10] ppdet.engine INFO: Epoch: [190] [600/732] learning_rate: 0.052865 loss_vfl: 0.935637 loss_bbox: 0.455421 loss_dfl: 0.416866 loss: 1.806251 eta: 1 day, 0:10:49 batch_cost: 0.6706 data_cost: 0.0016 ips: 59.6503 images/s
[07/28 14:57:26] ppdet.engine INFO: Epoch: [190] [620/732] learning_rate: 0.052842 loss_vfl: 0.944136 loss_bbox: 0.461251 loss_dfl: 0.422699 loss: 1.825529 eta: 1 day, 0:10:23 batch_cost: 0.6917 data_cost: 0.0015 ips: 57.8287 images/s
[07/28 14:57:44] ppdet.engine INFO: Epoch: [190] [640/732] learning_rate: 0.052818 loss_vfl: 0.963367 loss_bbox: 0.469350 loss_dfl: 0.421561 loss: 1.841708 eta: 1 day, 0:09:57 batch_cost: 0.7364 data_cost: 0.0003 ips: 54.3196 images/s
[07/28 14:58:00] ppdet.engine INFO: Epoch: [190] [660/732] learning_rate: 0.052794 loss_vfl: 0.964507 loss_bbox: 0.456037 loss_dfl: 0.420305 loss: 1.849377 eta: 1 day, 0:09:30 batch_cost: 0.6481 data_cost: 0.0003 ips: 61.7176 images/s
[07/28 14:58:17] ppdet.engine INFO: Epoch: [190] [680/732] learning_rate: 0.052771 loss_vfl: 0.980356 loss_bbox: 0.451499 loss_dfl: 0.424308 loss: 1.863100 eta: 1 day, 0:09:04 batch_cost: 0.6950 data_cost: 0.0017 ips: 57.5566 images/s
[07/28 14:58:34] ppdet.engine INFO: Epoch: [190] [700/732] learning_rate: 0.052747 loss_vfl: 0.933649 loss_bbox: 0.454279 loss_dfl: 0.419070 loss: 1.794225 eta: 1 day, 0:08:37 batch_cost: 0.6874 data_cost: 0.0017 ips: 58.1895 images/s
[07/28 14:58:49] ppdet.engine INFO: Epoch: [190] [720/732] learning_rate: 0.052724 loss_vfl: 0.985388 loss_bbox: 0.493183 loss_dfl: 0.441421 loss: 1.925072 eta: 1 day, 0:08:10 batch_cost: 0.6376 data_cost: 0.0010 ips: 62.7338 images/s
[07/28 14:59:04] ppdet.engine INFO: Epoch: [191] [  0/732] learning_rate: 0.052710 loss_vfl: 0.934766 loss_bbox: 0.437526 loss_dfl: 0.404344 loss: 1.758449 eta: 1 day, 0:07:57 batch_cost: 0.8522 data_cost: 0.1919 ips: 46.9383 images/s
[07/28 14:59:21] ppdet.engine INFO: Epoch: [191] [ 20/732] learning_rate: 0.052686 loss_vfl: 0.964412 loss_bbox: 0.484961 loss_dfl: 0.427470 loss: 1.881822 eta: 1 day, 0:07:31 batch_cost: 0.7036 data_cost: 0.0004 ips: 56.8522 images/s
[07/28 14:59:39] ppdet.engine INFO: Epoch: [191] [ 40/732] learning_rate: 0.052663 loss_vfl: 0.911177 loss_bbox: 0.451251 loss_dfl: 0.402598 loss: 1.749729 eta: 1 day, 0:07:04 batch_cost: 0.7079 data_cost: 0.0024 ips: 56.5042 images/s
[07/28 14:59:56] ppdet.engine INFO: Epoch: [191] [ 60/732] learning_rate: 0.052639 loss_vfl: 0.905187 loss_bbox: 0.427775 loss_dfl: 0.390842 loss: 1.732178 eta: 1 day, 0:06:39 batch_cost: 0.7373 data_cost: 0.0017 ips: 54.2520 images/s
[07/28 15:00:13] ppdet.engine INFO: Epoch: [191] [ 80/732] learning_rate: 0.052615 loss_vfl: 0.919038 loss_bbox: 0.444773 loss_dfl: 0.407367 loss: 1.745029 eta: 1 day, 0:06:13 batch_cost: 0.7398 data_cost: 0.0005 ips: 54.0667 images/s
[07/28 15:00:30] ppdet.engine INFO: Epoch: [191] [100/732] learning_rate: 0.052592 loss_vfl: 0.923091 loss_bbox: 0.423091 loss_dfl: 0.396492 loss: 1.747216 eta: 1 day, 0:05:47 batch_cost: 0.7043 data_cost: 0.0049 ips: 56.7972 images/s
[07/28 15:00:48] ppdet.engine INFO: Epoch: [191] [120/732] learning_rate: 0.052568 loss_vfl: 0.945575 loss_bbox: 0.459184 loss_dfl: 0.424256 loss: 1.836378 eta: 1 day, 0:05:20 batch_cost: 0.6903 data_cost: 0.0047 ips: 57.9455 images/s
[07/28 15:01:05] ppdet.engine INFO: Epoch: [191] [140/732] learning_rate: 0.052545 loss_vfl: 0.987231 loss_bbox: 0.482628 loss_dfl: 0.435765 loss: 1.909592 eta: 1 day, 0:04:54 batch_cost: 0.7081 data_cost: 0.0048 ips: 56.4869 images/s
[07/28 15:01:22] ppdet.engine INFO: Epoch: [191] [160/732] learning_rate: 0.052521 loss_vfl: 0.963592 loss_bbox: 0.465091 loss_dfl: 0.423818 loss: 1.872503 eta: 1 day, 0:04:28 batch_cost: 0.6756 data_cost: 0.0010 ips: 59.2054 images/s
[07/28 15:01:39] ppdet.engine INFO: Epoch: [191] [180/732] learning_rate: 0.052498 loss_vfl: 0.946394 loss_bbox: 0.439805 loss_dfl: 0.408154 loss: 1.798108 eta: 1 day, 0:04:02 batch_cost: 0.7266 data_cost: 0.0020 ips: 55.0533 images/s
[07/28 15:01:56] ppdet.engine INFO: Epoch: [191] [200/732] learning_rate: 0.052474 loss_vfl: 0.954408 loss_bbox: 0.437729 loss_dfl: 0.395704 loss: 1.765545 eta: 1 day, 0:03:36 batch_cost: 0.7053 data_cost: 0.0023 ips: 56.7148 images/s
[07/28 15:02:13] ppdet.engine INFO: Epoch: [191] [220/732] learning_rate: 0.052451 loss_vfl: 0.973089 loss_bbox: 0.469159 loss_dfl: 0.411941 loss: 1.872304 eta: 1 day, 0:03:10 batch_cost: 0.7362 data_cost: 0.0040 ips: 54.3341 images/s
[07/28 15:02:30] ppdet.engine INFO: Epoch: [191] [240/732] learning_rate: 0.052427 loss_vfl: 0.982043 loss_bbox: 0.485811 loss_dfl: 0.434362 loss: 1.923491 eta: 1 day, 0:02:44 batch_cost: 0.7027 data_cost: 0.0010 ips: 56.9204 images/s
[07/28 15:02:47] ppdet.engine INFO: Epoch: [191] [260/732] learning_rate: 0.052404 loss_vfl: 0.969144 loss_bbox: 0.485533 loss_dfl: 0.425715 loss: 1.881400 eta: 1 day, 0:02:18 batch_cost: 0.6920 data_cost: 0.0024 ips: 57.8071 images/s
[07/28 15:03:04] ppdet.engine INFO: Epoch: [191] [280/732] learning_rate: 0.052380 loss_vfl: 0.981939 loss_bbox: 0.457104 loss_dfl: 0.424982 loss: 1.873918 eta: 1 day, 0:01:52 batch_cost: 0.7219 data_cost: 0.0010 ips: 55.4122 images/s
[07/28 15:03:21] ppdet.engine INFO: Epoch: [191] [300/732] learning_rate: 0.052357 loss_vfl: 0.940994 loss_bbox: 0.445853 loss_dfl: 0.406391 loss: 1.785528 eta: 1 day, 0:01:26 batch_cost: 0.7288 data_cost: 0.0003 ips: 54.8836 images/s
[07/28 15:03:38] ppdet.engine INFO: Epoch: [191] [320/732] learning_rate: 0.052334 loss_vfl: 0.972235 loss_bbox: 0.449357 loss_dfl: 0.427025 loss: 1.858341 eta: 1 day, 0:01:00 batch_cost: 0.7252 data_cost: 0.0022 ips: 55.1581 images/s
[07/28 15:03:56] ppdet.engine INFO: Epoch: [191] [340/732] learning_rate: 0.052310 loss_vfl: 0.937009 loss_bbox: 0.446653 loss_dfl: 0.413253 loss: 1.799171 eta: 1 day, 0:00:34 batch_cost: 0.7338 data_cost: 0.0017 ips: 54.5078 images/s
[07/28 15:04:12] ppdet.engine INFO: Epoch: [191] [360/732] learning_rate: 0.052287 loss_vfl: 0.958346 loss_bbox: 0.465076 loss_dfl: 0.423500 loss: 1.851120 eta: 1 day, 0:00:08 batch_cost: 0.6505 data_cost: 0.0005 ips: 61.4884 images/s
[07/28 15:04:29] ppdet.engine INFO: Epoch: [191] [380/732] learning_rate: 0.052263 loss_vfl: 0.967321 loss_bbox: 0.462784 loss_dfl: 0.419083 loss: 1.867358 eta: 23:59:42 batch_cost: 0.7503 data_cost: 0.0016 ips: 53.3140 images/s
[07/28 15:04:48] ppdet.engine INFO: Epoch: [191] [400/732] learning_rate: 0.052240 loss_vfl: 0.940363 loss_bbox: 0.449386 loss_dfl: 0.406266 loss: 1.802604 eta: 23:59:17 batch_cost: 0.7774 data_cost: 0.0004 ips: 51.4511 images/s
[07/28 15:05:06] ppdet.engine INFO: Epoch: [191] [420/732] learning_rate: 0.052216 loss_vfl: 0.958480 loss_bbox: 0.466282 loss_dfl: 0.422113 loss: 1.855641 eta: 23:58:52 batch_cost: 0.7915 data_cost: 0.0011 ips: 50.5382 images/s
[07/28 15:05:24] ppdet.engine INFO: Epoch: [191] [440/732] learning_rate: 0.052193 loss_vfl: 1.022527 loss_bbox: 0.495294 loss_dfl: 0.442132 loss: 1.952319 eta: 23:58:26 batch_cost: 0.7686 data_cost: 0.0012 ips: 52.0404 images/s
[07/28 15:05:41] ppdet.engine INFO: Epoch: [191] [460/732] learning_rate: 0.052169 loss_vfl: 0.937263 loss_bbox: 0.438481 loss_dfl: 0.399205 loss: 1.757366 eta: 23:58:00 batch_cost: 0.6838 data_cost: 0.0027 ips: 58.5007 images/s
[07/28 15:05:58] ppdet.engine INFO: Epoch: [191] [480/732] learning_rate: 0.052146 loss_vfl: 0.910660 loss_bbox: 0.418252 loss_dfl: 0.390832 loss: 1.723495 eta: 23:57:34 batch_cost: 0.7156 data_cost: 0.0017 ips: 55.8971 images/s
[07/28 15:06:14] ppdet.engine INFO: Epoch: [191] [500/732] learning_rate: 0.052123 loss_vfl: 0.957198 loss_bbox: 0.461176 loss_dfl: 0.422431 loss: 1.827813 eta: 23:57:08 batch_cost: 0.6809 data_cost: 0.0011 ips: 58.7500 images/s
[07/28 15:06:31] ppdet.engine INFO: Epoch: [191] [520/732] learning_rate: 0.052099 loss_vfl: 0.966555 loss_bbox: 0.455970 loss_dfl: 0.422723 loss: 1.835204 eta: 23:56:41 batch_cost: 0.6877 data_cost: 0.0023 ips: 58.1621 images/s
[07/28 15:06:47] ppdet.engine INFO: Epoch: [191] [540/732] learning_rate: 0.052076 loss_vfl: 1.021972 loss_bbox: 0.486440 loss_dfl: 0.449602 loss: 1.941558 eta: 23:56:15 batch_cost: 0.6998 data_cost: 0.0010 ips: 57.1560 images/s
[07/28 15:07:03] ppdet.engine INFO: Epoch: [191] [560/732] learning_rate: 0.052052 loss_vfl: 0.902511 loss_bbox: 0.418647 loss_dfl: 0.387308 loss: 1.695760 eta: 23:55:49 batch_cost: 0.6777 data_cost: 0.0024 ips: 59.0226 images/s
[07/28 15:07:20] ppdet.engine INFO: Epoch: [191] [580/732] learning_rate: 0.052029 loss_vfl: 0.926502 loss_bbox: 0.460262 loss_dfl: 0.415714 loss: 1.795635 eta: 23:55:23 batch_cost: 0.7069 data_cost: 0.0004 ips: 56.5820 images/s
[07/28 15:07:37] ppdet.engine INFO: Epoch: [191] [600/732] learning_rate: 0.052006 loss_vfl: 1.008994 loss_bbox: 0.462895 loss_dfl: 0.438684 loss: 1.911605 eta: 23:54:57 batch_cost: 0.7236 data_cost: 0.0043 ips: 55.2767 images/s
[07/28 15:07:54] ppdet.engine INFO: Epoch: [191] [620/732] learning_rate: 0.051982 loss_vfl: 0.984373 loss_bbox: 0.439530 loss_dfl: 0.407648 loss: 1.813434 eta: 23:54:30 batch_cost: 0.6561 data_cost: 0.0019 ips: 60.9621 images/s
[07/28 15:08:10] ppdet.engine INFO: Epoch: [191] [640/732] learning_rate: 0.051959 loss_vfl: 0.929841 loss_bbox: 0.444622 loss_dfl: 0.400487 loss: 1.790759 eta: 23:54:04 batch_cost: 0.6644 data_cost: 0.0014 ips: 60.2059 images/s
[07/28 15:08:25] ppdet.engine INFO: Epoch: [191] [660/732] learning_rate: 0.051936 loss_vfl: 0.958730 loss_bbox: 0.486507 loss_dfl: 0.439654 loss: 1.909588 eta: 23:53:37 batch_cost: 0.6642 data_cost: 0.0032 ips: 60.2228 images/s
[07/28 15:08:42] ppdet.engine INFO: Epoch: [191] [680/732] learning_rate: 0.051912 loss_vfl: 1.001152 loss_bbox: 0.481410 loss_dfl: 0.438269 loss: 1.942316 eta: 23:53:11 batch_cost: 0.6787 data_cost: 0.0026 ips: 58.9374 images/s
[07/28 15:08:59] ppdet.engine INFO: Epoch: [191] [700/732] learning_rate: 0.051889 loss_vfl: 0.986225 loss_bbox: 0.480328 loss_dfl: 0.434792 loss: 1.900882 eta: 23:52:45 batch_cost: 0.6854 data_cost: 0.0029 ips: 58.3567 images/s
[07/28 15:09:16] ppdet.engine INFO: Epoch: [191] [720/732] learning_rate: 0.051865 loss_vfl: 0.933653 loss_bbox: 0.439207 loss_dfl: 0.410715 loss: 1.788353 eta: 23:52:19 batch_cost: 0.7389 data_cost: 0.0026 ips: 54.1330 images/s
[07/28 15:09:32] ppdet.engine INFO: Epoch: [192] [  0/732] learning_rate: 0.051851 loss_vfl: 0.966455 loss_bbox: 0.466616 loss_dfl: 0.415363 loss: 1.854883 eta: 23:52:06 batch_cost: 0.9418 data_cost: 0.3091 ips: 42.4711 images/s
[07/28 15:09:50] ppdet.engine INFO: Epoch: [192] [ 20/732] learning_rate: 0.051828 loss_vfl: 0.942635 loss_bbox: 0.452588 loss_dfl: 0.400809 loss: 1.795971 eta: 23:51:41 batch_cost: 0.7496 data_cost: 0.0005 ips: 53.3589 images/s
[07/28 15:10:07] ppdet.engine INFO: Epoch: [192] [ 40/732] learning_rate: 0.051805 loss_vfl: 0.996738 loss_bbox: 0.488991 loss_dfl: 0.435551 loss: 1.910101 eta: 23:51:15 batch_cost: 0.7260 data_cost: 0.0016 ips: 55.0958 images/s
[07/28 15:10:25] ppdet.engine INFO: Epoch: [192] [ 60/732] learning_rate: 0.051781 loss_vfl: 0.934116 loss_bbox: 0.436318 loss_dfl: 0.411171 loss: 1.780791 eta: 23:50:49 batch_cost: 0.7695 data_cost: 0.0017 ips: 51.9792 images/s
[07/28 15:10:41] ppdet.engine INFO: Epoch: [192] [ 80/732] learning_rate: 0.051758 loss_vfl: 0.941361 loss_bbox: 0.458952 loss_dfl: 0.412281 loss: 1.851482 eta: 23:50:23 batch_cost: 0.6445 data_cost: 0.0029 ips: 62.0631 images/s
[07/28 15:10:58] ppdet.engine INFO: Epoch: [192] [100/732] learning_rate: 0.051735 loss_vfl: 0.988052 loss_bbox: 0.486581 loss_dfl: 0.441056 loss: 1.917889 eta: 23:49:57 batch_cost: 0.7247 data_cost: 0.0010 ips: 55.1916 images/s
[07/28 15:11:14] ppdet.engine INFO: Epoch: [192] [120/732] learning_rate: 0.051712 loss_vfl: 0.966735 loss_bbox: 0.468723 loss_dfl: 0.422388 loss: 1.850906 eta: 23:49:30 batch_cost: 0.6339 data_cost: 0.0023 ips: 63.1005 images/s
[07/28 15:11:30] ppdet.engine INFO: Epoch: [192] [140/732] learning_rate: 0.051688 loss_vfl: 0.949555 loss_bbox: 0.449377 loss_dfl: 0.411225 loss: 1.808775 eta: 23:49:04 batch_cost: 0.6842 data_cost: 0.0010 ips: 58.4592 images/s
[07/28 15:11:46] ppdet.engine INFO: Epoch: [192] [160/732] learning_rate: 0.051665 loss_vfl: 1.004796 loss_bbox: 0.473015 loss_dfl: 0.428582 loss: 1.931109 eta: 23:48:38 batch_cost: 0.7136 data_cost: 0.0003 ips: 56.0572 images/s
[07/28 15:12:04] ppdet.engine INFO: Epoch: [192] [180/732] learning_rate: 0.051642 loss_vfl: 0.895523 loss_bbox: 0.423624 loss_dfl: 0.386415 loss: 1.701454 eta: 23:48:12 batch_cost: 0.7377 data_cost: 0.0003 ips: 54.2226 images/s
[07/28 15:12:21] ppdet.engine INFO: Epoch: [192] [200/732] learning_rate: 0.051618 loss_vfl: 0.947683 loss_bbox: 0.441611 loss_dfl: 0.406157 loss: 1.795939 eta: 23:47:46 batch_cost: 0.7107 data_cost: 0.0025 ips: 56.2854 images/s
[07/28 15:12:37] ppdet.engine INFO: Epoch: [192] [220/732] learning_rate: 0.051595 loss_vfl: 0.936498 loss_bbox: 0.460971 loss_dfl: 0.417248 loss: 1.820187 eta: 23:47:20 batch_cost: 0.6742 data_cost: 0.0009 ips: 59.3322 images/s
[07/28 15:12:53] ppdet.engine INFO: Epoch: [192] [240/732] learning_rate: 0.051572 loss_vfl: 0.948612 loss_bbox: 0.462218 loss_dfl: 0.414428 loss: 1.829677 eta: 23:46:54 batch_cost: 0.6835 data_cost: 0.0006 ips: 58.5237 images/s
[07/28 15:13:09] ppdet.engine INFO: Epoch: [192] [260/732] learning_rate: 0.051548 loss_vfl: 0.971501 loss_bbox: 0.466451 loss_dfl: 0.428317 loss: 1.858361 eta: 23:46:28 batch_cost: 0.6867 data_cost: 0.0012 ips: 58.2508 images/s
[07/28 15:13:26] ppdet.engine INFO: Epoch: [192] [280/732] learning_rate: 0.051525 loss_vfl: 0.989508 loss_bbox: 0.466828 loss_dfl: 0.427727 loss: 1.884459 eta: 23:46:02 batch_cost: 0.7220 data_cost: 0.0045 ips: 55.4041 images/s
[07/28 15:13:43] ppdet.engine INFO: Epoch: [192] [300/732] learning_rate: 0.051502 loss_vfl: 0.983213 loss_bbox: 0.463976 loss_dfl: 0.437954 loss: 1.894406 eta: 23:45:36 batch_cost: 0.7026 data_cost: 0.0023 ips: 56.9274 images/s
[07/28 15:14:01] ppdet.engine INFO: Epoch: [192] [320/732] learning_rate: 0.051479 loss_vfl: 0.927787 loss_bbox: 0.442636 loss_dfl: 0.406015 loss: 1.794546 eta: 23:45:10 batch_cost: 0.7254 data_cost: 0.0008 ips: 55.1442 images/s
[07/28 15:14:18] ppdet.engine INFO: Epoch: [192] [340/732] learning_rate: 0.051455 loss_vfl: 0.975103 loss_bbox: 0.473615 loss_dfl: 0.414763 loss: 1.858220 eta: 23:44:44 batch_cost: 0.7138 data_cost: 0.0020 ips: 56.0405 images/s
[07/28 15:14:35] ppdet.engine INFO: Epoch: [192] [360/732] learning_rate: 0.051432 loss_vfl: 0.945538 loss_bbox: 0.454995 loss_dfl: 0.427948 loss: 1.827891 eta: 23:44:18 batch_cost: 0.6888 data_cost: 0.0012 ips: 58.0738 images/s
[07/28 15:14:51] ppdet.engine INFO: Epoch: [192] [380/732] learning_rate: 0.051409 loss_vfl: 0.916492 loss_bbox: 0.439561 loss_dfl: 0.404566 loss: 1.747020 eta: 23:43:52 batch_cost: 0.6880 data_cost: 0.0030 ips: 58.1396 images/s
[07/28 15:15:10] ppdet.engine INFO: Epoch: [192] [400/732] learning_rate: 0.051386 loss_vfl: 0.951592 loss_bbox: 0.453693 loss_dfl: 0.414866 loss: 1.821790 eta: 23:43:27 batch_cost: 0.8166 data_cost: 0.0003 ips: 48.9856 images/s
[07/28 15:15:27] ppdet.engine INFO: Epoch: [192] [420/732] learning_rate: 0.051363 loss_vfl: 0.917668 loss_bbox: 0.455702 loss_dfl: 0.407529 loss: 1.763749 eta: 23:43:01 batch_cost: 0.7291 data_cost: 0.0010 ips: 54.8625 images/s
[07/28 15:15:44] ppdet.engine INFO: Epoch: [192] [440/732] learning_rate: 0.051339 loss_vfl: 0.949118 loss_bbox: 0.464636 loss_dfl: 0.417784 loss: 1.837946 eta: 23:42:35 batch_cost: 0.7019 data_cost: 0.0024 ips: 56.9844 images/s
[07/28 15:16:00] ppdet.engine INFO: Epoch: [192] [460/732] learning_rate: 0.051316 loss_vfl: 0.991771 loss_bbox: 0.465073 loss_dfl: 0.427193 loss: 1.892629 eta: 23:42:09 batch_cost: 0.6708 data_cost: 0.0016 ips: 59.6324 images/s
[07/28 15:16:17] ppdet.engine INFO: Epoch: [192] [480/732] learning_rate: 0.051293 loss_vfl: 0.944547 loss_bbox: 0.441688 loss_dfl: 0.397284 loss: 1.741088 eta: 23:41:43 batch_cost: 0.7125 data_cost: 0.0032 ips: 56.1439 images/s
[07/28 15:16:34] ppdet.engine INFO: Epoch: [192] [500/732] learning_rate: 0.051270 loss_vfl: 0.919813 loss_bbox: 0.446747 loss_dfl: 0.400630 loss: 1.755781 eta: 23:41:17 batch_cost: 0.6385 data_cost: 0.0015 ips: 62.6429 images/s
[07/28 15:16:51] ppdet.engine INFO: Epoch: [192] [520/732] learning_rate: 0.051247 loss_vfl: 1.003176 loss_bbox: 0.468839 loss_dfl: 0.437724 loss: 1.912469 eta: 23:40:51 batch_cost: 0.7147 data_cost: 0.0010 ips: 55.9657 images/s
[07/28 15:17:08] ppdet.engine INFO: Epoch: [192] [540/732] learning_rate: 0.051223 loss_vfl: 0.953756 loss_bbox: 0.457218 loss_dfl: 0.421162 loss: 1.810815 eta: 23:40:25 batch_cost: 0.7434 data_cost: 0.0004 ips: 53.8074 images/s
[07/28 15:17:24] ppdet.engine INFO: Epoch: [192] [560/732] learning_rate: 0.051200 loss_vfl: 1.006462 loss_bbox: 0.474258 loss_dfl: 0.423802 loss: 1.914094 eta: 23:39:59 batch_cost: 0.6520 data_cost: 0.0082 ips: 61.3532 images/s
[07/28 15:17:40] ppdet.engine INFO: Epoch: [192] [580/732] learning_rate: 0.051177 loss_vfl: 0.954433 loss_bbox: 0.444850 loss_dfl: 0.423407 loss: 1.879420 eta: 23:39:33 batch_cost: 0.6949 data_cost: 0.0023 ips: 57.5587 images/s
[07/28 15:17:56] ppdet.engine INFO: Epoch: [192] [600/732] learning_rate: 0.051154 loss_vfl: 0.982743 loss_bbox: 0.462062 loss_dfl: 0.432878 loss: 1.897932 eta: 23:39:06 batch_cost: 0.6483 data_cost: 0.0003 ips: 61.6954 images/s
[07/28 15:18:13] ppdet.engine INFO: Epoch: [192] [620/732] learning_rate: 0.051131 loss_vfl: 0.909326 loss_bbox: 0.432029 loss_dfl: 0.398043 loss: 1.751821 eta: 23:38:40 batch_cost: 0.7217 data_cost: 0.0020 ips: 55.4228 images/s
[07/28 15:18:30] ppdet.engine INFO: Epoch: [192] [640/732] learning_rate: 0.051107 loss_vfl: 0.943522 loss_bbox: 0.452270 loss_dfl: 0.421097 loss: 1.816268 eta: 23:38:14 batch_cost: 0.7104 data_cost: 0.0011 ips: 56.3043 images/s
[07/28 15:18:47] ppdet.engine INFO: Epoch: [192] [660/732] learning_rate: 0.051084 loss_vfl: 0.906795 loss_bbox: 0.433406 loss_dfl: 0.402385 loss: 1.724666 eta: 23:37:49 batch_cost: 0.7185 data_cost: 0.0025 ips: 55.6734 images/s
[07/28 15:19:04] ppdet.engine INFO: Epoch: [192] [680/732] learning_rate: 0.051061 loss_vfl: 0.939612 loss_bbox: 0.427829 loss_dfl: 0.410120 loss: 1.765206 eta: 23:37:22 batch_cost: 0.6639 data_cost: 0.0021 ips: 60.2485 images/s
[07/28 15:19:19] ppdet.engine INFO: Epoch: [192] [700/732] learning_rate: 0.051038 loss_vfl: 0.982985 loss_bbox: 0.467485 loss_dfl: 0.418019 loss: 1.826069 eta: 23:36:56 batch_cost: 0.6499 data_cost: 0.0048 ips: 61.5518 images/s
[07/28 15:19:36] ppdet.engine INFO: Epoch: [192] [720/732] learning_rate: 0.051015 loss_vfl: 0.938755 loss_bbox: 0.443368 loss_dfl: 0.408846 loss: 1.765772 eta: 23:36:30 batch_cost: 0.7182 data_cost: 0.0036 ips: 55.6951 images/s
[07/28 15:19:53] ppdet.engine INFO: Epoch: [193] [  0/732] learning_rate: 0.051001 loss_vfl: 0.921653 loss_bbox: 0.443555 loss_dfl: 0.399842 loss: 1.754663 eta: 23:36:18 batch_cost: 1.0170 data_cost: 0.2617 ips: 39.3316 images/s
[07/28 15:20:10] ppdet.engine INFO: Epoch: [193] [ 20/732] learning_rate: 0.050978 loss_vfl: 0.921665 loss_bbox: 0.461547 loss_dfl: 0.415312 loss: 1.785819 eta: 23:35:52 batch_cost: 0.7138 data_cost: 0.0019 ips: 56.0391 images/s
[07/28 15:20:28] ppdet.engine INFO: Epoch: [193] [ 40/732] learning_rate: 0.050955 loss_vfl: 0.986013 loss_bbox: 0.473029 loss_dfl: 0.425441 loss: 1.901772 eta: 23:35:26 batch_cost: 0.7368 data_cost: 0.0003 ips: 54.2899 images/s
[07/28 15:20:44] ppdet.engine INFO: Epoch: [193] [ 60/732] learning_rate: 0.050932 loss_vfl: 0.953918 loss_bbox: 0.476114 loss_dfl: 0.435489 loss: 1.867227 eta: 23:35:00 batch_cost: 0.6478 data_cost: 0.0029 ips: 61.7428 images/s
[07/28 15:21:02] ppdet.engine INFO: Epoch: [193] [ 80/732] learning_rate: 0.050909 loss_vfl: 0.945232 loss_bbox: 0.449387 loss_dfl: 0.411080 loss: 1.809050 eta: 23:34:34 batch_cost: 0.7310 data_cost: 0.0017 ips: 54.7194 images/s
[07/28 15:21:19] ppdet.engine INFO: Epoch: [193] [100/732] learning_rate: 0.050885 loss_vfl: 0.912278 loss_bbox: 0.450765 loss_dfl: 0.402036 loss: 1.759567 eta: 23:34:09 batch_cost: 0.7685 data_cost: 0.0003 ips: 52.0491 images/s
[07/28 15:21:36] ppdet.engine INFO: Epoch: [193] [120/732] learning_rate: 0.050862 loss_vfl: 0.932478 loss_bbox: 0.444836 loss_dfl: 0.392837 loss: 1.750473 eta: 23:33:43 batch_cost: 0.7039 data_cost: 0.0008 ips: 56.8258 images/s
[07/28 15:21:54] ppdet.engine INFO: Epoch: [193] [140/732] learning_rate: 0.050839 loss_vfl: 0.925601 loss_bbox: 0.429178 loss_dfl: 0.403303 loss: 1.730852 eta: 23:33:17 batch_cost: 0.7287 data_cost: 0.0008 ips: 54.8889 images/s
[07/28 15:22:10] ppdet.engine INFO: Epoch: [193] [160/732] learning_rate: 0.050816 loss_vfl: 0.948886 loss_bbox: 0.455082 loss_dfl: 0.406927 loss: 1.799098 eta: 23:32:51 batch_cost: 0.7002 data_cost: 0.0019 ips: 57.1290 images/s
[07/28 15:22:27] ppdet.engine INFO: Epoch: [193] [180/732] learning_rate: 0.050793 loss_vfl: 0.947128 loss_bbox: 0.451898 loss_dfl: 0.406371 loss: 1.784122 eta: 23:32:26 batch_cost: 0.7235 data_cost: 0.0030 ips: 55.2879 images/s
[07/28 15:22:44] ppdet.engine INFO: Epoch: [193] [200/732] learning_rate: 0.050770 loss_vfl: 0.954811 loss_bbox: 0.464666 loss_dfl: 0.425759 loss: 1.850739 eta: 23:32:00 batch_cost: 0.6839 data_cost: 0.0036 ips: 58.4887 images/s
[07/28 15:23:01] ppdet.engine INFO: Epoch: [193] [220/732] learning_rate: 0.050747 loss_vfl: 0.929022 loss_bbox: 0.459403 loss_dfl: 0.415937 loss: 1.818048 eta: 23:31:33 batch_cost: 0.6634 data_cost: 0.0016 ips: 60.2993 images/s
[07/28 15:23:17] ppdet.engine INFO: Epoch: [193] [240/732] learning_rate: 0.050724 loss_vfl: 0.910806 loss_bbox: 0.440060 loss_dfl: 0.401505 loss: 1.753088 eta: 23:31:07 batch_cost: 0.6839 data_cost: 0.0010 ips: 58.4884 images/s
[07/28 15:23:34] ppdet.engine INFO: Epoch: [193] [260/732] learning_rate: 0.050701 loss_vfl: 0.922974 loss_bbox: 0.438975 loss_dfl: 0.396590 loss: 1.766617 eta: 23:30:41 batch_cost: 0.6911 data_cost: 0.0021 ips: 57.8806 images/s
[07/28 15:23:51] ppdet.engine INFO: Epoch: [193] [280/732] learning_rate: 0.050678 loss_vfl: 0.945221 loss_bbox: 0.458318 loss_dfl: 0.414165 loss: 1.833297 eta: 23:30:15 batch_cost: 0.7272 data_cost: 0.0008 ips: 55.0081 images/s
[07/28 15:24:07] ppdet.engine INFO: Epoch: [193] [300/732] learning_rate: 0.050655 loss_vfl: 0.989618 loss_bbox: 0.474498 loss_dfl: 0.426889 loss: 1.912360 eta: 23:29:49 batch_cost: 0.6512 data_cost: 0.0004 ips: 61.4235 images/s
[07/28 15:24:24] ppdet.engine INFO: Epoch: [193] [320/732] learning_rate: 0.050632 loss_vfl: 0.910374 loss_bbox: 0.469814 loss_dfl: 0.406967 loss: 1.773045 eta: 23:29:23 batch_cost: 0.7233 data_cost: 0.0010 ips: 55.3037 images/s
[07/28 15:24:41] ppdet.engine INFO: Epoch: [193] [340/732] learning_rate: 0.050609 loss_vfl: 0.891331 loss_bbox: 0.434503 loss_dfl: 0.392654 loss: 1.707232 eta: 23:28:58 batch_cost: 0.7157 data_cost: 0.0018 ips: 55.8861 images/s
[07/28 15:24:58] ppdet.engine INFO: Epoch: [193] [360/732] learning_rate: 0.050586 loss_vfl: 0.939314 loss_bbox: 0.462038 loss_dfl: 0.419180 loss: 1.811260 eta: 23:28:32 batch_cost: 0.7230 data_cost: 0.0032 ips: 55.3238 images/s
[07/28 15:25:15] ppdet.engine INFO: Epoch: [193] [380/732] learning_rate: 0.050563 loss_vfl: 0.924459 loss_bbox: 0.422404 loss_dfl: 0.393947 loss: 1.749750 eta: 23:28:06 batch_cost: 0.6676 data_cost: 0.0023 ips: 59.9176 images/s
[07/28 15:25:30] ppdet.engine INFO: Epoch: [193] [400/732] learning_rate: 0.050540 loss_vfl: 0.962816 loss_bbox: 0.449967 loss_dfl: 0.423315 loss: 1.839061 eta: 23:27:39 batch_cost: 0.6375 data_cost: 0.0019 ips: 62.7496 images/s
[07/28 15:25:47] ppdet.engine INFO: Epoch: [193] [420/732] learning_rate: 0.050517 loss_vfl: 0.966708 loss_bbox: 0.468360 loss_dfl: 0.425171 loss: 1.855386 eta: 23:27:13 batch_cost: 0.6920 data_cost: 0.0003 ips: 57.8036 images/s
[07/28 15:26:04] ppdet.engine INFO: Epoch: [193] [440/732] learning_rate: 0.050494 loss_vfl: 0.919176 loss_bbox: 0.453142 loss_dfl: 0.415030 loss: 1.780958 eta: 23:26:47 batch_cost: 0.7170 data_cost: 0.0024 ips: 55.7876 images/s
[07/28 15:26:20] ppdet.engine INFO: Epoch: [193] [460/732] learning_rate: 0.050471 loss_vfl: 0.980072 loss_bbox: 0.457961 loss_dfl: 0.418719 loss: 1.858351 eta: 23:26:21 batch_cost: 0.6922 data_cost: 0.0007 ips: 57.7903 images/s
[07/28 15:26:37] ppdet.engine INFO: Epoch: [193] [480/732] learning_rate: 0.050448 loss_vfl: 0.896541 loss_bbox: 0.428397 loss_dfl: 0.394471 loss: 1.718391 eta: 23:25:56 batch_cost: 0.7308 data_cost: 0.0016 ips: 54.7359 images/s
[07/28 15:26:53] ppdet.engine INFO: Epoch: [193] [500/732] learning_rate: 0.050425 loss_vfl: 0.964611 loss_bbox: 0.447374 loss_dfl: 0.417602 loss: 1.832154 eta: 23:25:29 batch_cost: 0.6293 data_cost: 0.0014 ips: 63.5647 images/s
[07/28 15:27:09] ppdet.engine INFO: Epoch: [193] [520/732] learning_rate: 0.050402 loss_vfl: 0.980476 loss_bbox: 0.473868 loss_dfl: 0.417928 loss: 1.891734 eta: 23:25:03 batch_cost: 0.6943 data_cost: 0.0032 ips: 57.6094 images/s
[07/28 15:27:26] ppdet.engine INFO: Epoch: [193] [540/732] learning_rate: 0.050379 loss_vfl: 0.954171 loss_bbox: 0.460427 loss_dfl: 0.419001 loss: 1.820584 eta: 23:24:37 batch_cost: 0.6933 data_cost: 0.0013 ips: 57.6921 images/s
[07/28 15:27:42] ppdet.engine INFO: Epoch: [193] [560/732] learning_rate: 0.050356 loss_vfl: 0.979367 loss_bbox: 0.446808 loss_dfl: 0.420759 loss: 1.841612 eta: 23:24:11 batch_cost: 0.6517 data_cost: 0.0008 ips: 61.3778 images/s
[07/28 15:27:59] ppdet.engine INFO: Epoch: [193] [580/732] learning_rate: 0.050333 loss_vfl: 0.986704 loss_bbox: 0.461883 loss_dfl: 0.424223 loss: 1.888447 eta: 23:23:45 batch_cost: 0.6875 data_cost: 0.0004 ips: 58.1794 images/s
[07/28 15:28:15] ppdet.engine INFO: Epoch: [193] [600/732] learning_rate: 0.050310 loss_vfl: 1.009629 loss_bbox: 0.478875 loss_dfl: 0.438463 loss: 1.898931 eta: 23:23:19 batch_cost: 0.6986 data_cost: 0.0018 ips: 57.2589 images/s
[07/28 15:28:32] ppdet.engine INFO: Epoch: [193] [620/732] learning_rate: 0.050287 loss_vfl: 0.922545 loss_bbox: 0.436936 loss_dfl: 0.400005 loss: 1.759414 eta: 23:22:53 batch_cost: 0.6981 data_cost: 0.0004 ips: 57.2960 images/s
[07/28 15:28:49] ppdet.engine INFO: Epoch: [193] [640/732] learning_rate: 0.050264 loss_vfl: 0.926910 loss_bbox: 0.467367 loss_dfl: 0.411790 loss: 1.799613 eta: 23:22:27 batch_cost: 0.7075 data_cost: 0.0032 ips: 56.5393 images/s
[07/28 15:29:07] ppdet.engine INFO: Epoch: [193] [660/732] learning_rate: 0.050241 loss_vfl: 0.949454 loss_bbox: 0.456993 loss_dfl: 0.419940 loss: 1.823903 eta: 23:22:02 batch_cost: 0.7136 data_cost: 0.0008 ips: 56.0562 images/s
[07/28 15:29:23] ppdet.engine INFO: Epoch: [193] [680/732] learning_rate: 0.050218 loss_vfl: 0.978162 loss_bbox: 0.454588 loss_dfl: 0.423284 loss: 1.845729 eta: 23:21:36 batch_cost: 0.7037 data_cost: 0.0024 ips: 56.8423 images/s
[07/28 15:29:40] ppdet.engine INFO: Epoch: [193] [700/732] learning_rate: 0.050195 loss_vfl: 0.960433 loss_bbox: 0.470890 loss_dfl: 0.427537 loss: 1.863311 eta: 23:21:10 batch_cost: 0.6784 data_cost: 0.0003 ips: 58.9661 images/s
[07/28 15:29:56] ppdet.engine INFO: Epoch: [193] [720/732] learning_rate: 0.050172 loss_vfl: 0.984124 loss_bbox: 0.463909 loss_dfl: 0.416862 loss: 1.848746 eta: 23:20:43 batch_cost: 0.6595 data_cost: 0.0035 ips: 60.6489 images/s
[07/28 15:30:11] ppdet.engine INFO: Epoch: [194] [  0/732] learning_rate: 0.050158 loss_vfl: 0.946815 loss_bbox: 0.447504 loss_dfl: 0.406690 loss: 1.811598 eta: 23:20:30 batch_cost: 0.8732 data_cost: 0.2608 ips: 45.8088 images/s
[07/28 15:30:29] ppdet.engine INFO: Epoch: [194] [ 20/732] learning_rate: 0.050136 loss_vfl: 0.957904 loss_bbox: 0.494734 loss_dfl: 0.437435 loss: 1.893309 eta: 23:20:05 batch_cost: 0.7473 data_cost: 0.0004 ips: 53.5251 images/s
[07/28 15:30:48] ppdet.engine INFO: Epoch: [194] [ 40/732] learning_rate: 0.050113 loss_vfl: 0.943867 loss_bbox: 0.450459 loss_dfl: 0.411763 loss: 1.811446 eta: 23:19:40 batch_cost: 0.7694 data_cost: 0.0046 ips: 51.9866 images/s
[07/28 15:31:06] ppdet.engine INFO: Epoch: [194] [ 60/732] learning_rate: 0.050090 loss_vfl: 0.924030 loss_bbox: 0.441523 loss_dfl: 0.408537 loss: 1.756215 eta: 23:19:15 batch_cost: 0.7694 data_cost: 0.0004 ips: 51.9862 images/s
[07/28 15:31:23] ppdet.engine INFO: Epoch: [194] [ 80/732] learning_rate: 0.050067 loss_vfl: 0.973716 loss_bbox: 0.457105 loss_dfl: 0.420373 loss: 1.832046 eta: 23:18:49 batch_cost: 0.6820 data_cost: 0.0022 ips: 58.6520 images/s
[07/28 15:31:40] ppdet.engine INFO: Epoch: [194] [100/732] learning_rate: 0.050044 loss_vfl: 0.951425 loss_bbox: 0.461299 loss_dfl: 0.419224 loss: 1.824987 eta: 23:18:23 batch_cost: 0.6943 data_cost: 0.0052 ips: 57.6141 images/s
[07/28 15:31:57] ppdet.engine INFO: Epoch: [194] [120/732] learning_rate: 0.050021 loss_vfl: 1.003499 loss_bbox: 0.488468 loss_dfl: 0.440502 loss: 1.945491 eta: 23:17:57 batch_cost: 0.6770 data_cost: 0.0017 ips: 59.0823 images/s
[07/28 15:32:13] ppdet.engine INFO: Epoch: [194] [140/732] learning_rate: 0.049998 loss_vfl: 1.002542 loss_bbox: 0.479736 loss_dfl: 0.440622 loss: 1.919429 eta: 23:17:31 batch_cost: 0.6825 data_cost: 0.0049 ips: 58.6079 images/s
[07/28 15:32:31] ppdet.engine INFO: Epoch: [194] [160/732] learning_rate: 0.049975 loss_vfl: 0.966543 loss_bbox: 0.441696 loss_dfl: 0.425674 loss: 1.871007 eta: 23:17:06 batch_cost: 0.7619 data_cost: 0.0009 ips: 52.5004 images/s
[07/28 15:32:49] ppdet.engine INFO: Epoch: [194] [180/732] learning_rate: 0.049952 loss_vfl: 0.920414 loss_bbox: 0.447951 loss_dfl: 0.399200 loss: 1.786133 eta: 23:16:40 batch_cost: 0.7003 data_cost: 0.0019 ips: 57.1175 images/s
[07/28 15:33:08] ppdet.engine INFO: Epoch: [194] [200/732] learning_rate: 0.049930 loss_vfl: 1.000293 loss_bbox: 0.469005 loss_dfl: 0.429100 loss: 1.896300 eta: 23:16:15 batch_cost: 0.7612 data_cost: 0.0018 ips: 52.5453 images/s
[07/28 15:33:24] ppdet.engine INFO: Epoch: [194] [220/732] learning_rate: 0.049907 loss_vfl: 0.949479 loss_bbox: 0.454727 loss_dfl: 0.422659 loss: 1.813266 eta: 23:15:49 batch_cost: 0.6907 data_cost: 0.0019 ips: 57.9111 images/s
[07/28 15:33:42] ppdet.engine INFO: Epoch: [194] [240/732] learning_rate: 0.049884 loss_vfl: 0.948865 loss_bbox: 0.452376 loss_dfl: 0.426610 loss: 1.824690 eta: 23:15:23 batch_cost: 0.7070 data_cost: 0.0004 ips: 56.5741 images/s
[07/28 15:33:58] ppdet.engine INFO: Epoch: [194] [260/732] learning_rate: 0.049861 loss_vfl: 0.941071 loss_bbox: 0.458437 loss_dfl: 0.417449 loss: 1.804902 eta: 23:14:57 batch_cost: 0.6659 data_cost: 0.0029 ips: 60.0701 images/s
[07/28 15:34:14] ppdet.engine INFO: Epoch: [194] [280/732] learning_rate: 0.049838 loss_vfl: 0.960331 loss_bbox: 0.467561 loss_dfl: 0.431622 loss: 1.891884 eta: 23:14:31 batch_cost: 0.6602 data_cost: 0.0011 ips: 60.5832 images/s
[07/28 15:34:31] ppdet.engine INFO: Epoch: [194] [300/732] learning_rate: 0.049815 loss_vfl: 0.980676 loss_bbox: 0.464233 loss_dfl: 0.430424 loss: 1.865589 eta: 23:14:05 batch_cost: 0.7374 data_cost: 0.0031 ips: 54.2429 images/s
[07/28 15:34:47] ppdet.engine INFO: Epoch: [194] [320/732] learning_rate: 0.049793 loss_vfl: 0.937456 loss_bbox: 0.453901 loss_dfl: 0.414204 loss: 1.827753 eta: 23:13:39 batch_cost: 0.6342 data_cost: 0.0004 ips: 63.0669 images/s
[07/28 15:35:04] ppdet.engine INFO: Epoch: [194] [340/732] learning_rate: 0.049770 loss_vfl: 0.999320 loss_bbox: 0.470320 loss_dfl: 0.428747 loss: 1.902124 eta: 23:13:13 batch_cost: 0.7211 data_cost: 0.0053 ips: 55.4726 images/s
[07/28 15:35:21] ppdet.engine INFO: Epoch: [194] [360/732] learning_rate: 0.049747 loss_vfl: 1.011979 loss_bbox: 0.476812 loss_dfl: 0.433145 loss: 1.926109 eta: 23:12:47 batch_cost: 0.6856 data_cost: 0.0025 ips: 58.3459 images/s
[07/28 15:35:38] ppdet.engine INFO: Epoch: [194] [380/732] learning_rate: 0.049724 loss_vfl: 0.968363 loss_bbox: 0.461242 loss_dfl: 0.417953 loss: 1.833562 eta: 23:12:21 batch_cost: 0.7146 data_cost: 0.0026 ips: 55.9729 images/s
[07/28 15:35:54] ppdet.engine INFO: Epoch: [194] [400/732] learning_rate: 0.049701 loss_vfl: 0.942363 loss_bbox: 0.463078 loss_dfl: 0.418412 loss: 1.829279 eta: 23:11:55 batch_cost: 0.6618 data_cost: 0.0040 ips: 60.4394 images/s
[07/28 15:36:11] ppdet.engine INFO: Epoch: [194] [420/732] learning_rate: 0.049679 loss_vfl: 0.966088 loss_bbox: 0.462485 loss_dfl: 0.421840 loss: 1.831270 eta: 23:11:30 batch_cost: 0.7260 data_cost: 0.0019 ips: 55.0999 images/s
[07/28 15:36:28] ppdet.engine INFO: Epoch: [194] [440/732] learning_rate: 0.049656 loss_vfl: 0.925669 loss_bbox: 0.427467 loss_dfl: 0.402917 loss: 1.776406 eta: 23:11:04 batch_cost: 0.6960 data_cost: 0.0012 ips: 57.4693 images/s
[07/28 15:36:44] ppdet.engine INFO: Epoch: [194] [460/732] learning_rate: 0.049633 loss_vfl: 0.938968 loss_bbox: 0.463251 loss_dfl: 0.421127 loss: 1.810959 eta: 23:10:38 batch_cost: 0.6903 data_cost: 0.0016 ips: 57.9473 images/s
[07/28 15:37:01] ppdet.engine INFO: Epoch: [194] [480/732] learning_rate: 0.049610 loss_vfl: 0.979198 loss_bbox: 0.483021 loss_dfl: 0.437706 loss: 1.897583 eta: 23:10:12 batch_cost: 0.7145 data_cost: 0.0030 ips: 55.9868 images/s
[07/28 15:37:17] ppdet.engine INFO: Epoch: [194] [500/732] learning_rate: 0.049587 loss_vfl: 1.020726 loss_bbox: 0.464176 loss_dfl: 0.414993 loss: 1.882178 eta: 23:09:47 batch_cost: 0.6955 data_cost: 0.0045 ips: 57.5159 images/s
[07/28 15:37:35] ppdet.engine INFO: Epoch: [194] [520/732] learning_rate: 0.049565 loss_vfl: 0.930744 loss_bbox: 0.441251 loss_dfl: 0.413472 loss: 1.774472 eta: 23:09:21 batch_cost: 0.7369 data_cost: 0.0021 ips: 54.2831 images/s
[07/28 15:37:52] ppdet.engine INFO: Epoch: [194] [540/732] learning_rate: 0.049542 loss_vfl: 0.989625 loss_bbox: 0.458736 loss_dfl: 0.424669 loss: 1.877862 eta: 23:08:56 batch_cost: 0.7348 data_cost: 0.0003 ips: 54.4380 images/s
[07/28 15:38:09] ppdet.engine INFO: Epoch: [194] [560/732] learning_rate: 0.049519 loss_vfl: 1.016804 loss_bbox: 0.490777 loss_dfl: 0.446286 loss: 1.942029 eta: 23:08:30 batch_cost: 0.7013 data_cost: 0.0010 ips: 57.0340 images/s
[07/28 15:38:26] ppdet.engine INFO: Epoch: [194] [580/732] learning_rate: 0.049496 loss_vfl: 0.935799 loss_bbox: 0.432333 loss_dfl: 0.406274 loss: 1.784172 eta: 23:08:04 batch_cost: 0.6904 data_cost: 0.0011 ips: 57.9411 images/s
[07/28 15:38:43] ppdet.engine INFO: Epoch: [194] [600/732] learning_rate: 0.049474 loss_vfl: 0.972165 loss_bbox: 0.451587 loss_dfl: 0.425461 loss: 1.852811 eta: 23:07:39 batch_cost: 0.7120 data_cost: 0.0021 ips: 56.1825 images/s
[07/28 15:38:58] ppdet.engine INFO: Epoch: [194] [620/732] learning_rate: 0.049451 loss_vfl: 0.966788 loss_bbox: 0.448847 loss_dfl: 0.431061 loss: 1.843479 eta: 23:07:12 batch_cost: 0.6366 data_cost: 0.0032 ips: 62.8361 images/s
[07/28 15:39:15] ppdet.engine INFO: Epoch: [194] [640/732] learning_rate: 0.049428 loss_vfl: 0.941226 loss_bbox: 0.454083 loss_dfl: 0.404898 loss: 1.769834 eta: 23:06:46 batch_cost: 0.6742 data_cost: 0.0013 ips: 59.3330 images/s
[07/28 15:39:31] ppdet.engine INFO: Epoch: [194] [660/732] learning_rate: 0.049406 loss_vfl: 0.945398 loss_bbox: 0.449403 loss_dfl: 0.415158 loss: 1.794404 eta: 23:06:20 batch_cost: 0.6720 data_cost: 0.0029 ips: 59.5232 images/s
[07/28 15:39:47] ppdet.engine INFO: Epoch: [194] [680/732] learning_rate: 0.049383 loss_vfl: 0.977152 loss_bbox: 0.478881 loss_dfl: 0.437944 loss: 1.911519 eta: 23:05:54 batch_cost: 0.6639 data_cost: 0.0003 ips: 60.2484 images/s
[07/28 15:40:04] ppdet.engine INFO: Epoch: [194] [700/732] learning_rate: 0.049360 loss_vfl: 0.934248 loss_bbox: 0.460508 loss_dfl: 0.402787 loss: 1.790307 eta: 23:05:28 batch_cost: 0.6781 data_cost: 0.0006 ips: 58.9924 images/s
[07/28 15:40:21] ppdet.engine INFO: Epoch: [194] [720/732] learning_rate: 0.049337 loss_vfl: 0.949950 loss_bbox: 0.453536 loss_dfl: 0.417082 loss: 1.835186 eta: 23:05:03 batch_cost: 0.7206 data_cost: 0.0013 ips: 55.5059 images/s
[07/28 15:40:37] ppdet.engine INFO: Epoch: [195] [  0/732] learning_rate: 0.049324 loss_vfl: 0.949950 loss_bbox: 0.457106 loss_dfl: 0.418175 loss: 1.820475 eta: 23:04:50 batch_cost: 0.9990 data_cost: 0.1850 ips: 40.0396 images/s
[07/28 15:40:56] ppdet.engine INFO: Epoch: [195] [ 20/732] learning_rate: 0.049301 loss_vfl: 0.948904 loss_bbox: 0.447679 loss_dfl: 0.415441 loss: 1.819375 eta: 23:04:25 batch_cost: 0.7528 data_cost: 0.0010 ips: 53.1364 images/s
[07/28 15:41:13] ppdet.engine INFO: Epoch: [195] [ 40/732] learning_rate: 0.049278 loss_vfl: 0.965702 loss_bbox: 0.427910 loss_dfl: 0.415523 loss: 1.835803 eta: 23:04:00 batch_cost: 0.7185 data_cost: 0.0012 ips: 55.6685 images/s
[07/28 15:41:30] ppdet.engine INFO: Epoch: [195] [ 60/732] learning_rate: 0.049256 loss_vfl: 0.984764 loss_bbox: 0.496739 loss_dfl: 0.442343 loss: 1.911914 eta: 23:03:34 batch_cost: 0.6725 data_cost: 0.0026 ips: 59.4772 images/s
[07/28 15:41:46] ppdet.engine INFO: Epoch: [195] [ 80/732] learning_rate: 0.049233 loss_vfl: 0.922120 loss_bbox: 0.458292 loss_dfl: 0.408888 loss: 1.789666 eta: 23:03:08 batch_cost: 0.6853 data_cost: 0.0004 ips: 58.3719 images/s
[07/28 15:42:03] ppdet.engine INFO: Epoch: [195] [100/732] learning_rate: 0.049210 loss_vfl: 0.929371 loss_bbox: 0.475826 loss_dfl: 0.420365 loss: 1.830760 eta: 23:02:42 batch_cost: 0.7103 data_cost: 0.0013 ips: 56.3169 images/s
[07/28 15:42:19] ppdet.engine INFO: Epoch: [195] [120/732] learning_rate: 0.049188 loss_vfl: 0.940746 loss_bbox: 0.437169 loss_dfl: 0.401480 loss: 1.781597 eta: 23:02:16 batch_cost: 0.6664 data_cost: 0.0032 ips: 60.0198 images/s
[07/28 15:42:36] ppdet.engine INFO: Epoch: [195] [140/732] learning_rate: 0.049165 loss_vfl: 0.908525 loss_bbox: 0.437759 loss_dfl: 0.401308 loss: 1.743315 eta: 23:01:50 batch_cost: 0.6870 data_cost: 0.0013 ips: 58.2231 images/s
[07/28 15:42:52] ppdet.engine INFO: Epoch: [195] [160/732] learning_rate: 0.049142 loss_vfl: 0.938361 loss_bbox: 0.462732 loss_dfl: 0.412919 loss: 1.780678 eta: 23:01:24 batch_cost: 0.6896 data_cost: 0.0015 ips: 58.0067 images/s
[07/28 15:43:09] ppdet.engine INFO: Epoch: [195] [180/732] learning_rate: 0.049120 loss_vfl: 0.966900 loss_bbox: 0.432986 loss_dfl: 0.411662 loss: 1.799573 eta: 23:00:58 batch_cost: 0.6704 data_cost: 0.0028 ips: 59.6699 images/s
[07/28 15:43:27] ppdet.engine INFO: Epoch: [195] [200/732] learning_rate: 0.049097 loss_vfl: 0.929957 loss_bbox: 0.434730 loss_dfl: 0.401150 loss: 1.766827 eta: 23:00:33 batch_cost: 0.7638 data_cost: 0.0009 ips: 52.3683 images/s
[07/28 15:43:42] ppdet.engine INFO: Epoch: [195] [220/732] learning_rate: 0.049074 loss_vfl: 0.941544 loss_bbox: 0.446034 loss_dfl: 0.401658 loss: 1.798002 eta: 23:00:07 batch_cost: 0.6446 data_cost: 0.0023 ips: 62.0518 images/s
[07/28 15:43:59] ppdet.engine INFO: Epoch: [195] [240/732] learning_rate: 0.049052 loss_vfl: 0.939871 loss_bbox: 0.450902 loss_dfl: 0.427860 loss: 1.820622 eta: 22:59:42 batch_cost: 0.7043 data_cost: 0.0009 ips: 56.7929 images/s
[07/28 15:44:16] ppdet.engine INFO: Epoch: [195] [260/732] learning_rate: 0.049029 loss_vfl: 0.924703 loss_bbox: 0.437729 loss_dfl: 0.404508 loss: 1.772666 eta: 22:59:16 batch_cost: 0.7099 data_cost: 0.0011 ips: 56.3458 images/s
[07/28 15:44:33] ppdet.engine INFO: Epoch: [195] [280/732] learning_rate: 0.049007 loss_vfl: 0.931741 loss_bbox: 0.456607 loss_dfl: 0.423247 loss: 1.805186 eta: 22:58:50 batch_cost: 0.6886 data_cost: 0.0015 ips: 58.0888 images/s
[07/28 15:44:50] ppdet.engine INFO: Epoch: [195] [300/732] learning_rate: 0.048984 loss_vfl: 0.978749 loss_bbox: 0.477217 loss_dfl: 0.426448 loss: 1.874408 eta: 22:58:25 batch_cost: 0.7421 data_cost: 0.0057 ips: 53.8992 images/s
[07/28 15:45:07] ppdet.engine INFO: Epoch: [195] [320/732] learning_rate: 0.048961 loss_vfl: 0.945489 loss_bbox: 0.457139 loss_dfl: 0.422066 loss: 1.829983 eta: 22:58:00 batch_cost: 0.7300 data_cost: 0.0014 ips: 54.7970 images/s
[07/28 15:45:24] ppdet.engine INFO: Epoch: [195] [340/732] learning_rate: 0.048939 loss_vfl: 0.959612 loss_bbox: 0.456367 loss_dfl: 0.417807 loss: 1.833421 eta: 22:57:34 batch_cost: 0.6946 data_cost: 0.0009 ips: 57.5892 images/s
[07/28 15:45:41] ppdet.engine INFO: Epoch: [195] [360/732] learning_rate: 0.048916 loss_vfl: 0.954975 loss_bbox: 0.452573 loss_dfl: 0.413502 loss: 1.806490 eta: 22:57:08 batch_cost: 0.7225 data_cost: 0.0009 ips: 55.3656 images/s
[07/28 15:45:59] ppdet.engine INFO: Epoch: [195] [380/732] learning_rate: 0.048894 loss_vfl: 0.914095 loss_bbox: 0.423600 loss_dfl: 0.397482 loss: 1.726948 eta: 22:56:43 batch_cost: 0.7542 data_cost: 0.0020 ips: 53.0332 images/s
[07/28 15:46:15] ppdet.engine INFO: Epoch: [195] [400/732] learning_rate: 0.048871 loss_vfl: 0.941814 loss_bbox: 0.458104 loss_dfl: 0.414304 loss: 1.819218 eta: 22:56:18 batch_cost: 0.7089 data_cost: 0.0023 ips: 56.4294 images/s
[07/28 15:46:32] ppdet.engine INFO: Epoch: [195] [420/732] learning_rate: 0.048848 loss_vfl: 0.888283 loss_bbox: 0.431178 loss_dfl: 0.395636 loss: 1.716758 eta: 22:55:52 batch_cost: 0.6959 data_cost: 0.0027 ips: 57.4776 images/s
[07/28 15:46:48] ppdet.engine INFO: Epoch: [195] [440/732] learning_rate: 0.048826 loss_vfl: 0.967139 loss_bbox: 0.461550 loss_dfl: 0.426826 loss: 1.861567 eta: 22:55:26 batch_cost: 0.6500 data_cost: 0.0007 ips: 61.5349 images/s
[07/28 15:47:04] ppdet.engine INFO: Epoch: [195] [460/732] learning_rate: 0.048803 loss_vfl: 0.939048 loss_bbox: 0.441292 loss_dfl: 0.405036 loss: 1.807327 eta: 22:55:00 batch_cost: 0.6765 data_cost: 0.0079 ips: 59.1253 images/s
[07/28 15:47:20] ppdet.engine INFO: Epoch: [195] [480/732] learning_rate: 0.048781 loss_vfl: 0.923598 loss_bbox: 0.423541 loss_dfl: 0.399084 loss: 1.740884 eta: 22:54:33 batch_cost: 0.6192 data_cost: 0.0020 ips: 64.5984 images/s
[07/28 15:47:36] ppdet.engine INFO: Epoch: [195] [500/732] learning_rate: 0.048758 loss_vfl: 0.974301 loss_bbox: 0.464405 loss_dfl: 0.421045 loss: 1.863250 eta: 22:54:08 batch_cost: 0.6753 data_cost: 0.0009 ips: 59.2343 images/s
[07/28 15:47:53] ppdet.engine INFO: Epoch: [195] [520/732] learning_rate: 0.048736 loss_vfl: 0.935742 loss_bbox: 0.435178 loss_dfl: 0.402375 loss: 1.774289 eta: 22:53:42 batch_cost: 0.7254 data_cost: 0.0032 ips: 55.1443 images/s
[07/28 15:48:10] ppdet.engine INFO: Epoch: [195] [540/732] learning_rate: 0.048713 loss_vfl: 0.969306 loss_bbox: 0.467099 loss_dfl: 0.419307 loss: 1.848551 eta: 22:53:17 batch_cost: 0.7003 data_cost: 0.0017 ips: 57.1178 images/s
[07/28 15:48:26] ppdet.engine INFO: Epoch: [195] [560/732] learning_rate: 0.048691 loss_vfl: 1.004335 loss_bbox: 0.465619 loss_dfl: 0.429881 loss: 1.878334 eta: 22:52:51 batch_cost: 0.7218 data_cost: 0.0016 ips: 55.4137 images/s
[07/28 15:48:42] ppdet.engine INFO: Epoch: [195] [580/732] learning_rate: 0.048668 loss_vfl: 0.996750 loss_bbox: 0.496872 loss_dfl: 0.441122 loss: 1.931933 eta: 22:52:25 batch_cost: 0.6727 data_cost: 0.0008 ips: 59.4657 images/s
[07/28 15:48:58] ppdet.engine INFO: Epoch: [195] [600/732] learning_rate: 0.048646 loss_vfl: 1.001865 loss_bbox: 0.486508 loss_dfl: 0.436639 loss: 1.943412 eta: 22:51:59 batch_cost: 0.6650 data_cost: 0.0024 ips: 60.1476 images/s
[07/28 15:49:15] ppdet.engine INFO: Epoch: [195] [620/732] learning_rate: 0.048623 loss_vfl: 0.973075 loss_bbox: 0.458342 loss_dfl: 0.415595 loss: 1.834175 eta: 22:51:33 batch_cost: 0.6523 data_cost: 0.0013 ips: 61.3239 images/s
[07/28 15:49:31] ppdet.engine INFO: Epoch: [195] [640/732] learning_rate: 0.048601 loss_vfl: 0.903756 loss_bbox: 0.440713 loss_dfl: 0.403743 loss: 1.757341 eta: 22:51:08 batch_cost: 0.7071 data_cost: 0.0010 ips: 56.5719 images/s
[07/28 15:49:48] ppdet.engine INFO: Epoch: [195] [660/732] learning_rate: 0.048578 loss_vfl: 0.941777 loss_bbox: 0.445839 loss_dfl: 0.420087 loss: 1.808099 eta: 22:50:41 batch_cost: 0.6491 data_cost: 0.0015 ips: 61.6236 images/s
[07/28 15:50:02] ppdet.engine INFO: Epoch: [195] [680/732] learning_rate: 0.048556 loss_vfl: 1.001260 loss_bbox: 0.457036 loss_dfl: 0.437271 loss: 1.906992 eta: 22:50:15 batch_cost: 0.6009 data_cost: 0.0013 ips: 66.5656 images/s
[07/28 15:50:18] ppdet.engine INFO: Epoch: [195] [700/732] learning_rate: 0.048533 loss_vfl: 0.950395 loss_bbox: 0.454191 loss_dfl: 0.420222 loss: 1.841408 eta: 22:49:49 batch_cost: 0.6760 data_cost: 0.0021 ips: 59.1683 images/s
[07/28 15:50:36] ppdet.engine INFO: Epoch: [195] [720/732] learning_rate: 0.048511 loss_vfl: 0.967298 loss_bbox: 0.469486 loss_dfl: 0.425418 loss: 1.865744 eta: 22:49:24 batch_cost: 0.7377 data_cost: 0.0030 ips: 54.2250 images/s
[07/28 15:50:51] ppdet.engine INFO: Epoch: [196] [  0/732] learning_rate: 0.048497 loss_vfl: 0.964939 loss_bbox: 0.454459 loss_dfl: 0.419261 loss: 1.834198 eta: 22:49:11 batch_cost: 0.9587 data_cost: 0.3120 ips: 41.7227 images/s
[07/28 15:51:10] ppdet.engine INFO: Epoch: [196] [ 20/732] learning_rate: 0.048475 loss_vfl: 0.927987 loss_bbox: 0.448699 loss_dfl: 0.412662 loss: 1.784341 eta: 22:48:46 batch_cost: 0.7733 data_cost: 0.0015 ips: 51.7290 images/s
[07/28 15:51:27] ppdet.engine INFO: Epoch: [196] [ 40/732] learning_rate: 0.048452 loss_vfl: 0.900022 loss_bbox: 0.436656 loss_dfl: 0.394532 loss: 1.697621 eta: 22:48:20 batch_cost: 0.7172 data_cost: 0.0014 ips: 55.7746 images/s
[07/28 15:51:45] ppdet.engine INFO: Epoch: [196] [ 60/732] learning_rate: 0.048430 loss_vfl: 0.850542 loss_bbox: 0.406574 loss_dfl: 0.373575 loss: 1.619889 eta: 22:47:55 batch_cost: 0.7502 data_cost: 0.0042 ips: 53.3226 images/s
[07/28 15:52:01] ppdet.engine INFO: Epoch: [196] [ 80/732] learning_rate: 0.048407 loss_vfl: 0.959357 loss_bbox: 0.460403 loss_dfl: 0.414387 loss: 1.822128 eta: 22:47:30 batch_cost: 0.7053 data_cost: 0.0013 ips: 56.7162 images/s
[07/28 15:52:18] ppdet.engine INFO: Epoch: [196] [100/732] learning_rate: 0.048385 loss_vfl: 0.955169 loss_bbox: 0.456926 loss_dfl: 0.421228 loss: 1.822783 eta: 22:47:04 batch_cost: 0.7011 data_cost: 0.0003 ips: 57.0543 images/s
[07/28 15:52:34] ppdet.engine INFO: Epoch: [196] [120/732] learning_rate: 0.048362 loss_vfl: 0.939509 loss_bbox: 0.441256 loss_dfl: 0.404888 loss: 1.767625 eta: 22:46:38 batch_cost: 0.6808 data_cost: 0.0046 ips: 58.7507 images/s
[07/28 15:52:51] ppdet.engine INFO: Epoch: [196] [140/732] learning_rate: 0.048340 loss_vfl: 0.935940 loss_bbox: 0.442187 loss_dfl: 0.411080 loss: 1.775837 eta: 22:46:13 batch_cost: 0.7016 data_cost: 0.0034 ips: 57.0165 images/s
[07/28 15:53:08] ppdet.engine INFO: Epoch: [196] [160/732] learning_rate: 0.048318 loss_vfl: 0.972652 loss_bbox: 0.457811 loss_dfl: 0.426231 loss: 1.848406 eta: 22:45:48 batch_cost: 0.7389 data_cost: 0.0020 ips: 54.1312 images/s
[07/28 15:53:26] ppdet.engine INFO: Epoch: [196] [180/732] learning_rate: 0.048295 loss_vfl: 0.950148 loss_bbox: 0.447412 loss_dfl: 0.421275 loss: 1.818009 eta: 22:45:22 batch_cost: 0.7225 data_cost: 0.0008 ips: 55.3623 images/s
[07/28 15:53:43] ppdet.engine INFO: Epoch: [196] [200/732] learning_rate: 0.048273 loss_vfl: 0.998224 loss_bbox: 0.471122 loss_dfl: 0.424244 loss: 1.912604 eta: 22:44:57 batch_cost: 0.7251 data_cost: 0.0011 ips: 55.1632 images/s
[07/28 15:54:00] ppdet.engine INFO: Epoch: [196] [220/732] learning_rate: 0.048250 loss_vfl: 0.975181 loss_bbox: 0.468100 loss_dfl: 0.422824 loss: 1.861241 eta: 22:44:31 batch_cost: 0.6864 data_cost: 0.0013 ips: 58.2720 images/s
[07/28 15:54:17] ppdet.engine INFO: Epoch: [196] [240/732] learning_rate: 0.048228 loss_vfl: 0.918843 loss_bbox: 0.449229 loss_dfl: 0.416914 loss: 1.804331 eta: 22:44:05 batch_cost: 0.6863 data_cost: 0.0006 ips: 58.2814 images/s
[07/28 15:54:33] ppdet.engine INFO: Epoch: [196] [260/732] learning_rate: 0.048206 loss_vfl: 0.924024 loss_bbox: 0.465193 loss_dfl: 0.421273 loss: 1.803182 eta: 22:43:40 batch_cost: 0.6823 data_cost: 0.0027 ips: 58.6228 images/s
[07/28 15:54:50] ppdet.engine INFO: Epoch: [196] [280/732] learning_rate: 0.048183 loss_vfl: 0.982093 loss_bbox: 0.476381 loss_dfl: 0.435865 loss: 1.881433 eta: 22:43:14 batch_cost: 0.6879 data_cost: 0.0025 ips: 58.1468 images/s
[07/28 15:55:07] ppdet.engine INFO: Epoch: [196] [300/732] learning_rate: 0.048161 loss_vfl: 0.985325 loss_bbox: 0.441765 loss_dfl: 0.416385 loss: 1.818064 eta: 22:42:49 batch_cost: 0.7641 data_cost: 0.0036 ips: 52.3501 images/s
[07/28 15:55:25] ppdet.engine INFO: Epoch: [196] [320/732] learning_rate: 0.048138 loss_vfl: 1.021833 loss_bbox: 0.505840 loss_dfl: 0.452838 loss: 1.984288 eta: 22:42:24 batch_cost: 0.7327 data_cost: 0.0012 ips: 54.5928 images/s
[07/28 15:55:41] ppdet.engine INFO: Epoch: [196] [340/732] learning_rate: 0.048116 loss_vfl: 0.969037 loss_bbox: 0.497759 loss_dfl: 0.443306 loss: 1.925148 eta: 22:41:58 batch_cost: 0.6494 data_cost: 0.0033 ips: 61.5993 images/s
[07/28 15:55:56] ppdet.engine INFO: Epoch: [196] [360/732] learning_rate: 0.048094 loss_vfl: 0.948470 loss_bbox: 0.455685 loss_dfl: 0.410608 loss: 1.835062 eta: 22:41:32 batch_cost: 0.6458 data_cost: 0.0022 ips: 61.9351 images/s
[07/28 15:56:13] ppdet.engine INFO: Epoch: [196] [380/732] learning_rate: 0.048071 loss_vfl: 0.911699 loss_bbox: 0.446307 loss_dfl: 0.409138 loss: 1.777575 eta: 22:41:06 batch_cost: 0.6599 data_cost: 0.0063 ips: 60.6107 images/s
[07/28 15:56:30] ppdet.engine INFO: Epoch: [196] [400/732] learning_rate: 0.048049 loss_vfl: 0.904476 loss_bbox: 0.443946 loss_dfl: 0.395654 loss: 1.733806 eta: 22:40:41 batch_cost: 0.7414 data_cost: 0.0035 ips: 53.9535 images/s
[07/28 15:56:47] ppdet.engine INFO: Epoch: [196] [420/732] learning_rate: 0.048027 loss_vfl: 1.021250 loss_bbox: 0.473213 loss_dfl: 0.442918 loss: 1.966754 eta: 22:40:15 batch_cost: 0.7247 data_cost: 0.0024 ips: 55.1962 images/s
[07/28 15:57:05] ppdet.engine INFO: Epoch: [196] [440/732] learning_rate: 0.048004 loss_vfl: 0.975749 loss_bbox: 0.460798 loss_dfl: 0.430896 loss: 1.884374 eta: 22:39:50 batch_cost: 0.7357 data_cost: 0.0022 ips: 54.3685 images/s
[07/28 15:57:21] ppdet.engine INFO: Epoch: [196] [460/732] learning_rate: 0.047982 loss_vfl: 0.946943 loss_bbox: 0.463879 loss_dfl: 0.423158 loss: 1.826796 eta: 22:39:24 batch_cost: 0.6816 data_cost: 0.0018 ips: 58.6884 images/s
[07/28 15:57:38] ppdet.engine INFO: Epoch: [196] [480/732] learning_rate: 0.047960 loss_vfl: 0.957504 loss_bbox: 0.462466 loss_dfl: 0.421669 loss: 1.832605 eta: 22:38:59 batch_cost: 0.6804 data_cost: 0.0014 ips: 58.7890 images/s
[07/28 15:57:54] ppdet.engine INFO: Epoch: [196] [500/732] learning_rate: 0.047937 loss_vfl: 0.930875 loss_bbox: 0.439473 loss_dfl: 0.394301 loss: 1.760409 eta: 22:38:33 batch_cost: 0.6787 data_cost: 0.0038 ips: 58.9388 images/s
[07/28 15:58:12] ppdet.engine INFO: Epoch: [196] [520/732] learning_rate: 0.047915 loss_vfl: 0.978684 loss_bbox: 0.463033 loss_dfl: 0.425111 loss: 1.859770 eta: 22:38:08 batch_cost: 0.7397 data_cost: 0.0039 ips: 54.0760 images/s
[07/28 15:58:28] ppdet.engine INFO: Epoch: [196] [540/732] learning_rate: 0.047893 loss_vfl: 0.961914 loss_bbox: 0.479295 loss_dfl: 0.422143 loss: 1.879709 eta: 22:37:42 batch_cost: 0.6541 data_cost: 0.0007 ips: 61.1499 images/s
[07/28 15:58:45] ppdet.engine INFO: Epoch: [196] [560/732] learning_rate: 0.047870 loss_vfl: 0.956255 loss_bbox: 0.460409 loss_dfl: 0.424522 loss: 1.864750 eta: 22:37:17 batch_cost: 0.7271 data_cost: 0.0028 ips: 55.0130 images/s
[07/28 15:59:02] ppdet.engine INFO: Epoch: [196] [580/732] learning_rate: 0.047848 loss_vfl: 0.931243 loss_bbox: 0.450411 loss_dfl: 0.403564 loss: 1.787681 eta: 22:36:51 batch_cost: 0.6906 data_cost: 0.0003 ips: 57.9210 images/s
[07/28 15:59:19] ppdet.engine INFO: Epoch: [196] [600/732] learning_rate: 0.047826 loss_vfl: 0.977334 loss_bbox: 0.461569 loss_dfl: 0.422506 loss: 1.872814 eta: 22:36:26 batch_cost: 0.7072 data_cost: 0.0003 ips: 56.5632 images/s
[07/28 15:59:35] ppdet.engine INFO: Epoch: [196] [620/732] learning_rate: 0.047803 loss_vfl: 0.897281 loss_bbox: 0.439145 loss_dfl: 0.402112 loss: 1.755577 eta: 22:36:00 batch_cost: 0.6685 data_cost: 0.0008 ips: 59.8335 images/s
[07/28 15:59:52] ppdet.engine INFO: Epoch: [196] [640/732] learning_rate: 0.047781 loss_vfl: 1.027204 loss_bbox: 0.512787 loss_dfl: 0.463237 loss: 2.009897 eta: 22:35:34 batch_cost: 0.6970 data_cost: 0.0017 ips: 57.3919 images/s
[07/28 16:00:08] ppdet.engine INFO: Epoch: [196] [660/732] learning_rate: 0.047759 loss_vfl: 0.935818 loss_bbox: 0.449616 loss_dfl: 0.395295 loss: 1.808434 eta: 22:35:08 batch_cost: 0.6353 data_cost: 0.0031 ips: 62.9667 images/s
[07/28 16:00:23] ppdet.engine INFO: Epoch: [196] [680/732] learning_rate: 0.047737 loss_vfl: 0.975720 loss_bbox: 0.465891 loss_dfl: 0.432640 loss: 1.901093 eta: 22:34:42 batch_cost: 0.6471 data_cost: 0.0024 ips: 61.8152 images/s
[07/28 16:00:40] ppdet.engine INFO: Epoch: [196] [700/732] learning_rate: 0.047714 loss_vfl: 0.961379 loss_bbox: 0.494819 loss_dfl: 0.431341 loss: 1.872254 eta: 22:34:16 batch_cost: 0.6998 data_cost: 0.0011 ips: 57.1568 images/s
[07/28 16:00:57] ppdet.engine INFO: Epoch: [196] [720/732] learning_rate: 0.047692 loss_vfl: 1.017692 loss_bbox: 0.452996 loss_dfl: 0.424775 loss: 1.875648 eta: 22:33:51 batch_cost: 0.7129 data_cost: 0.0022 ips: 56.1056 images/s
[07/28 16:01:13] ppdet.engine INFO: Epoch: [197] [  0/732] learning_rate: 0.047679 loss_vfl: 1.013611 loss_bbox: 0.489955 loss_dfl: 0.444482 loss: 1.936908 eta: 22:33:38 batch_cost: 0.9550 data_cost: 0.2671 ips: 41.8858 images/s
[07/28 16:01:33] ppdet.engine INFO: Epoch: [197] [ 20/732] learning_rate: 0.047657 loss_vfl: 0.982949 loss_bbox: 0.478506 loss_dfl: 0.431971 loss: 1.901482 eta: 22:33:14 batch_cost: 0.8644 data_cost: 0.0019 ips: 46.2731 images/s
[07/28 16:01:51] ppdet.engine INFO: Epoch: [197] [ 40/732] learning_rate: 0.047634 loss_vfl: 0.921864 loss_bbox: 0.441020 loss_dfl: 0.405719 loss: 1.759575 eta: 22:32:50 batch_cost: 0.7550 data_cost: 0.0010 ips: 52.9776 images/s
[07/28 16:02:08] ppdet.engine INFO: Epoch: [197] [ 60/732] learning_rate: 0.047612 loss_vfl: 0.924699 loss_bbox: 0.427973 loss_dfl: 0.411963 loss: 1.767094 eta: 22:32:24 batch_cost: 0.6955 data_cost: 0.0003 ips: 57.5153 images/s
[07/28 16:02:24] ppdet.engine INFO: Epoch: [197] [ 80/732] learning_rate: 0.047590 loss_vfl: 0.960980 loss_bbox: 0.466895 loss_dfl: 0.424952 loss: 1.834574 eta: 22:31:58 batch_cost: 0.6745 data_cost: 0.0015 ips: 59.3065 images/s
[07/28 16:02:42] ppdet.engine INFO: Epoch: [197] [100/732] learning_rate: 0.047568 loss_vfl: 0.953543 loss_bbox: 0.443014 loss_dfl: 0.401088 loss: 1.795602 eta: 22:31:34 batch_cost: 0.7809 data_cost: 0.0010 ips: 51.2225 images/s
[07/28 16:02:58] ppdet.engine INFO: Epoch: [197] [120/732] learning_rate: 0.047545 loss_vfl: 0.936307 loss_bbox: 0.464529 loss_dfl: 0.427639 loss: 1.843072 eta: 22:31:08 batch_cost: 0.6769 data_cost: 0.0055 ips: 59.0932 images/s
[07/28 16:03:17] ppdet.engine INFO: Epoch: [197] [140/732] learning_rate: 0.047523 loss_vfl: 0.986484 loss_bbox: 0.478555 loss_dfl: 0.442238 loss: 1.906088 eta: 22:30:44 batch_cost: 0.8183 data_cost: 0.0003 ips: 48.8824 images/s
[07/28 16:03:34] ppdet.engine INFO: Epoch: [197] [160/732] learning_rate: 0.047501 loss_vfl: 0.930509 loss_bbox: 0.440556 loss_dfl: 0.407408 loss: 1.774097 eta: 22:30:19 batch_cost: 0.7287 data_cost: 0.0006 ips: 54.8893 images/s
[07/28 16:03:52] ppdet.engine INFO: Epoch: [197] [180/732] learning_rate: 0.047479 loss_vfl: 0.948892 loss_bbox: 0.467874 loss_dfl: 0.426708 loss: 1.858571 eta: 22:29:54 batch_cost: 0.7741 data_cost: 0.0019 ips: 51.6741 images/s
[07/28 16:04:09] ppdet.engine INFO: Epoch: [197] [200/732] learning_rate: 0.047457 loss_vfl: 0.997600 loss_bbox: 0.451234 loss_dfl: 0.419356 loss: 1.857430 eta: 22:29:29 batch_cost: 0.7102 data_cost: 0.0009 ips: 56.3229 images/s
[07/28 16:04:25] ppdet.engine INFO: Epoch: [197] [220/732] learning_rate: 0.047434 loss_vfl: 0.924419 loss_bbox: 0.439372 loss_dfl: 0.409872 loss: 1.775061 eta: 22:29:03 batch_cost: 0.6746 data_cost: 0.0015 ips: 59.2945 images/s
[07/28 16:04:41] ppdet.engine INFO: Epoch: [197] [240/732] learning_rate: 0.047412 loss_vfl: 0.947906 loss_bbox: 0.460080 loss_dfl: 0.419853 loss: 1.832911 eta: 22:28:37 batch_cost: 0.6760 data_cost: 0.0020 ips: 59.1698 images/s
[07/28 16:04:57] ppdet.engine INFO: Epoch: [197] [260/732] learning_rate: 0.047390 loss_vfl: 0.920431 loss_bbox: 0.444090 loss_dfl: 0.408754 loss: 1.774683 eta: 22:28:11 batch_cost: 0.6486 data_cost: 0.0021 ips: 61.6733 images/s
[07/28 16:05:14] ppdet.engine INFO: Epoch: [197] [280/732] learning_rate: 0.047368 loss_vfl: 0.951438 loss_bbox: 0.460198 loss_dfl: 0.423808 loss: 1.818675 eta: 22:27:46 batch_cost: 0.7131 data_cost: 0.0036 ips: 56.0967 images/s
[07/28 16:05:32] ppdet.engine INFO: Epoch: [197] [300/732] learning_rate: 0.047346 loss_vfl: 1.011581 loss_bbox: 0.487507 loss_dfl: 0.438490 loss: 1.944331 eta: 22:27:21 batch_cost: 0.7230 data_cost: 0.0013 ips: 55.3258 images/s
[07/28 16:05:48] ppdet.engine INFO: Epoch: [197] [320/732] learning_rate: 0.047324 loss_vfl: 0.962908 loss_bbox: 0.482109 loss_dfl: 0.432805 loss: 1.890121 eta: 22:26:55 batch_cost: 0.6962 data_cost: 0.0025 ips: 57.4564 images/s
[07/28 16:06:05] ppdet.engine INFO: Epoch: [197] [340/732] learning_rate: 0.047301 loss_vfl: 0.959689 loss_bbox: 0.452398 loss_dfl: 0.415044 loss: 1.812242 eta: 22:26:29 batch_cost: 0.6734 data_cost: 0.0023 ips: 59.3972 images/s
[07/28 16:06:22] ppdet.engine INFO: Epoch: [197] [360/732] learning_rate: 0.047279 loss_vfl: 0.968979 loss_bbox: 0.461181 loss_dfl: 0.422638 loss: 1.858680 eta: 22:26:04 batch_cost: 0.7398 data_cost: 0.0013 ips: 54.0680 images/s
[07/28 16:06:39] ppdet.engine INFO: Epoch: [197] [380/732] learning_rate: 0.047257 loss_vfl: 0.963045 loss_bbox: 0.471954 loss_dfl: 0.426562 loss: 1.880212 eta: 22:25:39 batch_cost: 0.7282 data_cost: 0.0009 ips: 54.9321 images/s
[07/28 16:06:56] ppdet.engine INFO: Epoch: [197] [400/732] learning_rate: 0.047235 loss_vfl: 0.973130 loss_bbox: 0.448056 loss_dfl: 0.409740 loss: 1.857278 eta: 22:25:14 batch_cost: 0.7088 data_cost: 0.0039 ips: 56.4343 images/s
[07/28 16:07:12] ppdet.engine INFO: Epoch: [197] [420/732] learning_rate: 0.047213 loss_vfl: 0.966549 loss_bbox: 0.458955 loss_dfl: 0.429161 loss: 1.866577 eta: 22:24:48 batch_cost: 0.6796 data_cost: 0.0010 ips: 58.8588 images/s
[07/28 16:07:29] ppdet.engine INFO: Epoch: [197] [440/732] learning_rate: 0.047191 loss_vfl: 0.923805 loss_bbox: 0.444392 loss_dfl: 0.402848 loss: 1.747674 eta: 22:24:23 batch_cost: 0.6912 data_cost: 0.0015 ips: 57.8695 images/s
[07/28 16:07:46] ppdet.engine INFO: Epoch: [197] [460/732] learning_rate: 0.047169 loss_vfl: 0.976923 loss_bbox: 0.469586 loss_dfl: 0.425157 loss: 1.835504 eta: 22:23:57 batch_cost: 0.7110 data_cost: 0.0009 ips: 56.2604 images/s
[07/28 16:08:02] ppdet.engine INFO: Epoch: [197] [480/732] learning_rate: 0.047147 loss_vfl: 1.016162 loss_bbox: 0.490147 loss_dfl: 0.445188 loss: 1.966022 eta: 22:23:32 batch_cost: 0.6658 data_cost: 0.0003 ips: 60.0824 images/s
[07/28 16:08:19] ppdet.engine INFO: Epoch: [197] [500/732] learning_rate: 0.047124 loss_vfl: 0.947081 loss_bbox: 0.463311 loss_dfl: 0.415106 loss: 1.819602 eta: 22:23:06 batch_cost: 0.7170 data_cost: 0.0038 ips: 55.7888 images/s
[07/28 16:08:36] ppdet.engine INFO: Epoch: [197] [520/732] learning_rate: 0.047102 loss_vfl: 0.901780 loss_bbox: 0.441325 loss_dfl: 0.398947 loss: 1.754814 eta: 22:22:41 batch_cost: 0.7045 data_cost: 0.0017 ips: 56.7795 images/s
[07/28 16:08:52] ppdet.engine INFO: Epoch: [197] [540/732] learning_rate: 0.047080 loss_vfl: 0.942128 loss_bbox: 0.432428 loss_dfl: 0.404314 loss: 1.776415 eta: 22:22:15 batch_cost: 0.6631 data_cost: 0.0016 ips: 60.3207 images/s
[07/28 16:09:09] ppdet.engine INFO: Epoch: [197] [560/732] learning_rate: 0.047058 loss_vfl: 0.945921 loss_bbox: 0.450505 loss_dfl: 0.409254 loss: 1.807036 eta: 22:21:50 batch_cost: 0.7268 data_cost: 0.0018 ips: 55.0380 images/s
[07/28 16:09:25] ppdet.engine INFO: Epoch: [197] [580/732] learning_rate: 0.047036 loss_vfl: 0.899748 loss_bbox: 0.418164 loss_dfl: 0.396596 loss: 1.706921 eta: 22:21:24 batch_cost: 0.6700 data_cost: 0.0029 ips: 59.7039 images/s
[07/28 16:09:42] ppdet.engine INFO: Epoch: [197] [600/732] learning_rate: 0.047014 loss_vfl: 0.921341 loss_bbox: 0.463233 loss_dfl: 0.411175 loss: 1.808538 eta: 22:20:59 batch_cost: 0.6503 data_cost: 0.0041 ips: 61.5146 images/s
[07/28 16:09:58] ppdet.engine INFO: Epoch: [197] [620/732] learning_rate: 0.046992 loss_vfl: 0.930792 loss_bbox: 0.450851 loss_dfl: 0.402387 loss: 1.799436 eta: 22:20:33 batch_cost: 0.6523 data_cost: 0.0042 ips: 61.3207 images/s
[07/28 16:10:13] ppdet.engine INFO: Epoch: [197] [640/732] learning_rate: 0.046970 loss_vfl: 1.024597 loss_bbox: 0.489247 loss_dfl: 0.441988 loss: 1.965797 eta: 22:20:07 batch_cost: 0.6534 data_cost: 0.0018 ips: 61.2198 images/s
[07/28 16:10:29] ppdet.engine INFO: Epoch: [197] [660/732] learning_rate: 0.046948 loss_vfl: 0.947470 loss_bbox: 0.455469 loss_dfl: 0.413394 loss: 1.804636 eta: 22:19:41 batch_cost: 0.6519 data_cost: 0.0015 ips: 61.3553 images/s
[07/28 16:10:46] ppdet.engine INFO: Epoch: [197] [680/732] learning_rate: 0.046926 loss_vfl: 0.949090 loss_bbox: 0.456568 loss_dfl: 0.412517 loss: 1.825459 eta: 22:19:16 batch_cost: 0.7257 data_cost: 0.0037 ips: 55.1198 images/s
[07/28 16:11:02] ppdet.engine INFO: Epoch: [197] [700/732] learning_rate: 0.046904 loss_vfl: 0.932561 loss_bbox: 0.463983 loss_dfl: 0.417333 loss: 1.825443 eta: 22:18:50 batch_cost: 0.6959 data_cost: 0.0007 ips: 57.4817 images/s
[07/28 16:11:19] ppdet.engine INFO: Epoch: [197] [720/732] learning_rate: 0.046882 loss_vfl: 0.934505 loss_bbox: 0.466568 loss_dfl: 0.427287 loss: 1.834376 eta: 22:18:25 batch_cost: 0.7085 data_cost: 0.0013 ips: 56.4538 images/s
[07/28 16:11:35] ppdet.engine INFO: Epoch: [198] [  0/732] learning_rate: 0.046869 loss_vfl: 0.975065 loss_bbox: 0.466568 loss_dfl: 0.429001 loss: 1.862301 eta: 22:18:13 batch_cost: 0.9722 data_cost: 0.3098 ips: 41.1443 images/s
[07/28 16:11:53] ppdet.engine INFO: Epoch: [198] [ 20/732] learning_rate: 0.046847 loss_vfl: 0.917423 loss_bbox: 0.451299 loss_dfl: 0.414908 loss: 1.771315 eta: 22:17:47 batch_cost: 0.7263 data_cost: 0.0003 ips: 55.0720 images/s
[07/28 16:12:11] ppdet.engine INFO: Epoch: [198] [ 40/732] learning_rate: 0.046825 loss_vfl: 0.942018 loss_bbox: 0.443768 loss_dfl: 0.411968 loss: 1.804040 eta: 22:17:23 batch_cost: 0.7475 data_cost: 0.0017 ips: 53.5145 images/s
[07/28 16:12:29] ppdet.engine INFO: Epoch: [198] [ 60/732] learning_rate: 0.046803 loss_vfl: 0.952051 loss_bbox: 0.450346 loss_dfl: 0.430928 loss: 1.863283 eta: 22:16:58 batch_cost: 0.7700 data_cost: 0.0032 ips: 51.9481 images/s
[07/28 16:12:46] ppdet.engine INFO: Epoch: [198] [ 80/732] learning_rate: 0.046781 loss_vfl: 0.955004 loss_bbox: 0.485864 loss_dfl: 0.428670 loss: 1.864282 eta: 22:16:32 batch_cost: 0.6649 data_cost: 0.0003 ips: 60.1549 images/s
[07/28 16:13:03] ppdet.engine INFO: Epoch: [198] [100/732] learning_rate: 0.046759 loss_vfl: 0.918082 loss_bbox: 0.453796 loss_dfl: 0.404886 loss: 1.786641 eta: 22:16:07 batch_cost: 0.7164 data_cost: 0.0009 ips: 55.8360 images/s
[07/28 16:13:20] ppdet.engine INFO: Epoch: [198] [120/732] learning_rate: 0.046737 loss_vfl: 0.941162 loss_bbox: 0.441714 loss_dfl: 0.410795 loss: 1.792696 eta: 22:15:42 batch_cost: 0.7029 data_cost: 0.0010 ips: 56.9057 images/s
[07/28 16:13:36] ppdet.engine INFO: Epoch: [198] [140/732] learning_rate: 0.046715 loss_vfl: 0.978238 loss_bbox: 0.474035 loss_dfl: 0.433266 loss: 1.904469 eta: 22:15:16 batch_cost: 0.6885 data_cost: 0.0032 ips: 58.1003 images/s
[07/28 16:13:53] ppdet.engine INFO: Epoch: [198] [160/732] learning_rate: 0.046693 loss_vfl: 0.935809 loss_bbox: 0.449731 loss_dfl: 0.426080 loss: 1.833654 eta: 22:14:51 batch_cost: 0.6938 data_cost: 0.0010 ips: 57.6510 images/s
[07/28 16:14:09] ppdet.engine INFO: Epoch: [198] [180/732] learning_rate: 0.046671 loss_vfl: 0.909012 loss_bbox: 0.456532 loss_dfl: 0.412483 loss: 1.766452 eta: 22:14:25 batch_cost: 0.6648 data_cost: 0.0015 ips: 60.1669 images/s
[07/28 16:14:25] ppdet.engine INFO: Epoch: [198] [200/732] learning_rate: 0.046649 loss_vfl: 0.960021 loss_bbox: 0.464640 loss_dfl: 0.410444 loss: 1.840677 eta: 22:13:59 batch_cost: 0.6701 data_cost: 0.0004 ips: 59.6891 images/s
[07/28 16:14:41] ppdet.engine INFO: Epoch: [198] [220/732] learning_rate: 0.046627 loss_vfl: 0.923879 loss_bbox: 0.426730 loss_dfl: 0.396332 loss: 1.733999 eta: 22:13:34 batch_cost: 0.6928 data_cost: 0.0030 ips: 57.7394 images/s
[07/28 16:14:59] ppdet.engine INFO: Epoch: [198] [240/732] learning_rate: 0.046605 loss_vfl: 0.963366 loss_bbox: 0.454783 loss_dfl: 0.414425 loss: 1.837286 eta: 22:13:09 batch_cost: 0.7143 data_cost: 0.0017 ips: 55.9965 images/s
[07/28 16:15:15] ppdet.engine INFO: Epoch: [198] [260/732] learning_rate: 0.046583 loss_vfl: 0.944451 loss_bbox: 0.449709 loss_dfl: 0.415833 loss: 1.839799 eta: 22:12:43 batch_cost: 0.6904 data_cost: 0.0057 ips: 57.9409 images/s
[07/28 16:15:30] ppdet.engine INFO: Epoch: [198] [280/732] learning_rate: 0.046561 loss_vfl: 0.952542 loss_bbox: 0.462618 loss_dfl: 0.412731 loss: 1.847689 eta: 22:12:17 batch_cost: 0.6399 data_cost: 0.0025 ips: 62.5139 images/s
[07/28 16:15:48] ppdet.engine INFO: Epoch: [198] [300/732] learning_rate: 0.046539 loss_vfl: 0.948281 loss_bbox: 0.443291 loss_dfl: 0.409968 loss: 1.811643 eta: 22:11:52 batch_cost: 0.7189 data_cost: 0.0010 ips: 55.6435 images/s
[07/28 16:16:04] ppdet.engine INFO: Epoch: [198] [320/732] learning_rate: 0.046517 loss_vfl: 0.954029 loss_bbox: 0.484629 loss_dfl: 0.440015 loss: 1.871790 eta: 22:11:27 batch_cost: 0.7180 data_cost: 0.0009 ips: 55.7095 images/s
[07/28 16:16:22] ppdet.engine INFO: Epoch: [198] [340/732] learning_rate: 0.046495 loss_vfl: 0.905226 loss_bbox: 0.432564 loss_dfl: 0.406540 loss: 1.772235 eta: 22:11:02 batch_cost: 0.7354 data_cost: 0.0015 ips: 54.3894 images/s
[07/28 16:16:39] ppdet.engine INFO: Epoch: [198] [360/732] learning_rate: 0.046473 loss_vfl: 0.916346 loss_bbox: 0.439314 loss_dfl: 0.405125 loss: 1.755384 eta: 22:10:37 batch_cost: 0.7255 data_cost: 0.0017 ips: 55.1334 images/s
[07/28 16:16:55] ppdet.engine INFO: Epoch: [198] [380/732] learning_rate: 0.046451 loss_vfl: 0.955658 loss_bbox: 0.457837 loss_dfl: 0.417014 loss: 1.844353 eta: 22:10:12 batch_cost: 0.7030 data_cost: 0.0038 ips: 56.8983 images/s
[07/28 16:17:13] ppdet.engine INFO: Epoch: [198] [400/732] learning_rate: 0.046429 loss_vfl: 0.949703 loss_bbox: 0.431427 loss_dfl: 0.399023 loss: 1.793191 eta: 22:09:47 batch_cost: 0.7549 data_cost: 0.0024 ips: 52.9860 images/s
[07/28 16:17:29] ppdet.engine INFO: Epoch: [198] [420/732] learning_rate: 0.046408 loss_vfl: 0.960924 loss_bbox: 0.465403 loss_dfl: 0.422821 loss: 1.848113 eta: 22:09:22 batch_cost: 0.6859 data_cost: 0.0009 ips: 58.3145 images/s
[07/28 16:17:45] ppdet.engine INFO: Epoch: [198] [440/732] learning_rate: 0.046386 loss_vfl: 0.947458 loss_bbox: 0.449320 loss_dfl: 0.418467 loss: 1.826719 eta: 22:08:56 batch_cost: 0.6536 data_cost: 0.0003 ips: 61.1951 images/s
[07/28 16:18:01] ppdet.engine INFO: Epoch: [198] [460/732] learning_rate: 0.046364 loss_vfl: 1.008153 loss_bbox: 0.480788 loss_dfl: 0.438052 loss: 1.935051 eta: 22:08:30 batch_cost: 0.6627 data_cost: 0.0014 ips: 60.3576 images/s
[07/28 16:18:17] ppdet.engine INFO: Epoch: [198] [480/732] learning_rate: 0.046342 loss_vfl: 0.972920 loss_bbox: 0.485571 loss_dfl: 0.436500 loss: 1.851151 eta: 22:08:04 batch_cost: 0.6596 data_cost: 0.0019 ips: 60.6453 images/s
[07/28 16:18:33] ppdet.engine INFO: Epoch: [198] [500/732] learning_rate: 0.046320 loss_vfl: 0.931376 loss_bbox: 0.448236 loss_dfl: 0.402863 loss: 1.770415 eta: 22:07:39 batch_cost: 0.6752 data_cost: 0.0026 ips: 59.2382 images/s
[07/28 16:18:50] ppdet.engine INFO: Epoch: [198] [520/732] learning_rate: 0.046298 loss_vfl: 0.954191 loss_bbox: 0.455133 loss_dfl: 0.421039 loss: 1.826604 eta: 22:07:13 batch_cost: 0.6879 data_cost: 0.0022 ips: 58.1457 images/s
[07/28 16:19:06] ppdet.engine INFO: Epoch: [198] [540/732] learning_rate: 0.046276 loss_vfl: 0.904775 loss_bbox: 0.454025 loss_dfl: 0.406842 loss: 1.756882 eta: 22:06:48 batch_cost: 0.6430 data_cost: 0.0011 ips: 62.2068 images/s
[07/28 16:19:22] ppdet.engine INFO: Epoch: [198] [560/732] learning_rate: 0.046255 loss_vfl: 0.959570 loss_bbox: 0.473398 loss_dfl: 0.432160 loss: 1.868391 eta: 22:06:22 batch_cost: 0.7026 data_cost: 0.0043 ips: 56.9352 images/s
[07/28 16:19:38] ppdet.engine INFO: Epoch: [198] [580/732] learning_rate: 0.046233 loss_vfl: 0.964329 loss_bbox: 0.441301 loss_dfl: 0.410877 loss: 1.819993 eta: 22:05:57 batch_cost: 0.6545 data_cost: 0.0060 ips: 61.1121 images/s
[07/28 16:19:55] ppdet.engine INFO: Epoch: [198] [600/732] learning_rate: 0.046211 loss_vfl: 0.900045 loss_bbox: 0.440779 loss_dfl: 0.402863 loss: 1.738713 eta: 22:05:31 batch_cost: 0.7200 data_cost: 0.0003 ips: 55.5554 images/s
[07/28 16:20:12] ppdet.engine INFO: Epoch: [198] [620/732] learning_rate: 0.046189 loss_vfl: 0.978908 loss_bbox: 0.475406 loss_dfl: 0.426952 loss: 1.874480 eta: 22:05:06 batch_cost: 0.6878 data_cost: 0.0012 ips: 58.1568 images/s
[07/28 16:20:27] ppdet.engine INFO: Epoch: [198] [640/732] learning_rate: 0.046167 loss_vfl: 0.996494 loss_bbox: 0.470262 loss_dfl: 0.428017 loss: 1.886015 eta: 22:04:40 batch_cost: 0.6674 data_cost: 0.0003 ips: 59.9328 images/s
[07/28 16:20:44] ppdet.engine INFO: Epoch: [198] [660/732] learning_rate: 0.046145 loss_vfl: 0.956398 loss_bbox: 0.429377 loss_dfl: 0.399984 loss: 1.781447 eta: 22:04:15 batch_cost: 0.6784 data_cost: 0.0009 ips: 58.9664 images/s
[07/28 16:21:01] ppdet.engine INFO: Epoch: [198] [680/732] learning_rate: 0.046124 loss_vfl: 0.982133 loss_bbox: 0.463737 loss_dfl: 0.425525 loss: 1.854226 eta: 22:03:50 batch_cost: 0.6939 data_cost: 0.0006 ips: 57.6484 images/s
[07/28 16:21:17] ppdet.engine INFO: Epoch: [198] [700/732] learning_rate: 0.046102 loss_vfl: 0.986493 loss_bbox: 0.476776 loss_dfl: 0.428497 loss: 1.877929 eta: 22:03:25 batch_cost: 0.7185 data_cost: 0.0011 ips: 55.6710 images/s
[07/28 16:21:33] ppdet.engine INFO: Epoch: [198] [720/732] learning_rate: 0.046080 loss_vfl: 0.951893 loss_bbox: 0.442489 loss_dfl: 0.406297 loss: 1.793693 eta: 22:02:59 batch_cost: 0.6890 data_cost: 0.0064 ips: 58.0586 images/s
[07/28 16:21:48] ppdet.engine INFO: Epoch: [199] [  0/732] learning_rate: 0.046067 loss_vfl: 0.912319 loss_bbox: 0.419290 loss_dfl: 0.388449 loss: 1.700333 eta: 22:02:46 batch_cost: 0.8577 data_cost: 0.2174 ips: 46.6364 images/s
[07/28 16:22:06] ppdet.engine INFO: Epoch: [199] [ 20/732] learning_rate: 0.046045 loss_vfl: 0.928627 loss_bbox: 0.421251 loss_dfl: 0.396616 loss: 1.751184 eta: 22:02:21 batch_cost: 0.7421 data_cost: 0.0009 ips: 53.9020 images/s
[07/28 16:22:23] ppdet.engine INFO: Epoch: [199] [ 40/732] learning_rate: 0.046023 loss_vfl: 0.936258 loss_bbox: 0.457068 loss_dfl: 0.414499 loss: 1.811100 eta: 22:01:56 batch_cost: 0.7262 data_cost: 0.0016 ips: 55.0812 images/s
[07/28 16:22:40] ppdet.engine INFO: Epoch: [199] [ 60/732] learning_rate: 0.046002 loss_vfl: 0.949482 loss_bbox: 0.446932 loss_dfl: 0.413295 loss: 1.809302 eta: 22:01:30 batch_cost: 0.6850 data_cost: 0.0060 ips: 58.3904 images/s
[07/28 16:22:56] ppdet.engine INFO: Epoch: [199] [ 80/732] learning_rate: 0.045980 loss_vfl: 0.967025 loss_bbox: 0.467407 loss_dfl: 0.425505 loss: 1.888689 eta: 22:01:05 batch_cost: 0.6661 data_cost: 0.0019 ips: 60.0501 images/s
[07/28 16:23:13] ppdet.engine INFO: Epoch: [199] [100/732] learning_rate: 0.045958 loss_vfl: 0.912731 loss_bbox: 0.426591 loss_dfl: 0.405803 loss: 1.744619 eta: 22:00:40 batch_cost: 0.6977 data_cost: 0.0032 ips: 57.3274 images/s
[07/28 16:23:29] ppdet.engine INFO: Epoch: [199] [120/732] learning_rate: 0.045936 loss_vfl: 0.973061 loss_bbox: 0.474436 loss_dfl: 0.430793 loss: 1.870443 eta: 22:00:14 batch_cost: 0.6581 data_cost: 0.0004 ips: 60.7767 images/s
[07/28 16:23:46] ppdet.engine INFO: Epoch: [199] [140/732] learning_rate: 0.045915 loss_vfl: 0.963997 loss_bbox: 0.453096 loss_dfl: 0.422634 loss: 1.860126 eta: 21:59:48 batch_cost: 0.6731 data_cost: 0.0020 ips: 59.4279 images/s
[07/28 16:24:02] ppdet.engine INFO: Epoch: [199] [160/732] learning_rate: 0.045893 loss_vfl: 0.987332 loss_bbox: 0.474053 loss_dfl: 0.423935 loss: 1.902494 eta: 21:59:23 batch_cost: 0.6594 data_cost: 0.0010 ips: 60.6618 images/s
[07/28 16:24:21] ppdet.engine INFO: Epoch: [199] [180/732] learning_rate: 0.045871 loss_vfl: 0.951025 loss_bbox: 0.444461 loss_dfl: 0.417370 loss: 1.842912 eta: 21:58:59 batch_cost: 0.8048 data_cost: 0.0004 ips: 49.7017 images/s
[07/28 16:24:38] ppdet.engine INFO: Epoch: [199] [200/732] learning_rate: 0.045849 loss_vfl: 0.955090 loss_bbox: 0.453530 loss_dfl: 0.417009 loss: 1.800012 eta: 21:58:34 batch_cost: 0.7213 data_cost: 0.0045 ips: 55.4549 images/s
[07/28 16:24:55] ppdet.engine INFO: Epoch: [199] [220/732] learning_rate: 0.045828 loss_vfl: 0.946821 loss_bbox: 0.474806 loss_dfl: 0.421196 loss: 1.861199 eta: 21:58:09 batch_cost: 0.7287 data_cost: 0.0013 ips: 54.8919 images/s
[07/28 16:25:13] ppdet.engine INFO: Epoch: [199] [240/732] learning_rate: 0.045806 loss_vfl: 0.963642 loss_bbox: 0.455755 loss_dfl: 0.414885 loss: 1.838391 eta: 21:57:44 batch_cost: 0.7458 data_cost: 0.0018 ips: 53.6337 images/s
[07/28 16:25:30] ppdet.engine INFO: Epoch: [199] [260/732] learning_rate: 0.045784 loss_vfl: 0.951465 loss_bbox: 0.449950 loss_dfl: 0.422797 loss: 1.824432 eta: 21:57:19 batch_cost: 0.7238 data_cost: 0.0020 ips: 55.2638 images/s
[07/28 16:25:46] ppdet.engine INFO: Epoch: [199] [280/732] learning_rate: 0.045762 loss_vfl: 1.010550 loss_bbox: 0.483420 loss_dfl: 0.444371 loss: 1.939288 eta: 21:56:53 batch_cost: 0.6685 data_cost: 0.0041 ips: 59.8395 images/s
[07/28 16:26:03] ppdet.engine INFO: Epoch: [199] [300/732] learning_rate: 0.045741 loss_vfl: 0.986899 loss_bbox: 0.464791 loss_dfl: 0.426655 loss: 1.859196 eta: 21:56:28 batch_cost: 0.6975 data_cost: 0.0027 ips: 57.3486 images/s
[07/28 16:26:19] ppdet.engine INFO: Epoch: [199] [320/732] learning_rate: 0.045719 loss_vfl: 0.941607 loss_bbox: 0.450483 loss_dfl: 0.412584 loss: 1.803370 eta: 21:56:03 batch_cost: 0.7026 data_cost: 0.0016 ips: 56.9304 images/s
[07/28 16:26:36] ppdet.engine INFO: Epoch: [199] [340/732] learning_rate: 0.045697 loss_vfl: 0.931839 loss_bbox: 0.427414 loss_dfl: 0.397433 loss: 1.786157 eta: 21:55:38 batch_cost: 0.7139 data_cost: 0.0018 ips: 56.0303 images/s
[07/28 16:26:53] ppdet.engine INFO: Epoch: [199] [360/732] learning_rate: 0.045676 loss_vfl: 0.931382 loss_bbox: 0.446421 loss_dfl: 0.395398 loss: 1.756301 eta: 21:55:13 batch_cost: 0.7491 data_cost: 0.0009 ips: 53.3987 images/s
[07/28 16:27:11] ppdet.engine INFO: Epoch: [199] [380/732] learning_rate: 0.045654 loss_vfl: 0.957432 loss_bbox: 0.465054 loss_dfl: 0.415673 loss: 1.836752 eta: 21:54:48 batch_cost: 0.7292 data_cost: 0.0020 ips: 54.8524 images/s
[07/28 16:27:28] ppdet.engine INFO: Epoch: [199] [400/732] learning_rate: 0.045632 loss_vfl: 0.958363 loss_bbox: 0.460455 loss_dfl: 0.426355 loss: 1.853895 eta: 21:54:23 batch_cost: 0.7371 data_cost: 0.0023 ips: 54.2640 images/s
[07/28 16:27:46] ppdet.engine INFO: Epoch: [199] [420/732] learning_rate: 0.045611 loss_vfl: 0.977030 loss_bbox: 0.468729 loss_dfl: 0.428085 loss: 1.890269 eta: 21:53:59 batch_cost: 0.7322 data_cost: 0.0013 ips: 54.6323 images/s
[07/28 16:28:02] ppdet.engine INFO: Epoch: [199] [440/732] learning_rate: 0.045589 loss_vfl: 1.014462 loss_bbox: 0.480567 loss_dfl: 0.452055 loss: 1.935479 eta: 21:53:34 batch_cost: 0.7312 data_cost: 0.0014 ips: 54.7019 images/s
[07/28 16:28:18] ppdet.engine INFO: Epoch: [199] [460/732] learning_rate: 0.045567 loss_vfl: 0.927453 loss_bbox: 0.431477 loss_dfl: 0.410867 loss: 1.780989 eta: 21:53:08 batch_cost: 0.6714 data_cost: 0.0016 ips: 59.5804 images/s
[07/28 16:28:35] ppdet.engine INFO: Epoch: [199] [480/732] learning_rate: 0.045546 loss_vfl: 0.941107 loss_bbox: 0.450692 loss_dfl: 0.408382 loss: 1.803876 eta: 21:52:43 batch_cost: 0.6857 data_cost: 0.0008 ips: 58.3350 images/s
[07/28 16:28:52] ppdet.engine INFO: Epoch: [199] [500/732] learning_rate: 0.045524 loss_vfl: 0.913291 loss_bbox: 0.442639 loss_dfl: 0.408128 loss: 1.757090 eta: 21:52:17 batch_cost: 0.6781 data_cost: 0.0016 ips: 58.9926 images/s
[07/28 16:29:08] ppdet.engine INFO: Epoch: [199] [520/732] learning_rate: 0.045503 loss_vfl: 0.968054 loss_bbox: 0.468995 loss_dfl: 0.428421 loss: 1.867435 eta: 21:51:52 batch_cost: 0.7103 data_cost: 0.0009 ips: 56.3121 images/s
[07/28 16:29:25] ppdet.engine INFO: Epoch: [199] [540/732] learning_rate: 0.045481 loss_vfl: 0.925367 loss_bbox: 0.459543 loss_dfl: 0.415417 loss: 1.792130 eta: 21:51:27 batch_cost: 0.6862 data_cost: 0.0020 ips: 58.2882 images/s
[07/28 16:29:41] ppdet.engine INFO: Epoch: [199] [560/732] learning_rate: 0.045459 loss_vfl: 0.928956 loss_bbox: 0.449216 loss_dfl: 0.419317 loss: 1.782526 eta: 21:51:02 batch_cost: 0.6670 data_cost: 0.0059 ips: 59.9689 images/s
[07/28 16:29:58] ppdet.engine INFO: Epoch: [199] [580/732] learning_rate: 0.045438 loss_vfl: 0.970918 loss_bbox: 0.472022 loss_dfl: 0.420622 loss: 1.861850 eta: 21:50:37 batch_cost: 0.7188 data_cost: 0.0072 ips: 55.6483 images/s
[07/28 16:30:15] ppdet.engine INFO: Epoch: [199] [600/732] learning_rate: 0.045416 loss_vfl: 0.905825 loss_bbox: 0.428978 loss_dfl: 0.386322 loss: 1.726756 eta: 21:50:11 batch_cost: 0.6938 data_cost: 0.0009 ips: 57.6545 images/s
[07/28 16:30:31] ppdet.engine INFO: Epoch: [199] [620/732] learning_rate: 0.045394 loss_vfl: 0.945223 loss_bbox: 0.444836 loss_dfl: 0.414259 loss: 1.814809 eta: 21:49:46 batch_cost: 0.6804 data_cost: 0.0061 ips: 58.7847 images/s
[07/28 16:30:48] ppdet.engine INFO: Epoch: [199] [640/732] learning_rate: 0.045373 loss_vfl: 0.984711 loss_bbox: 0.485259 loss_dfl: 0.432863 loss: 1.896507 eta: 21:49:21 batch_cost: 0.6964 data_cost: 0.0024 ips: 57.4343 images/s
[07/28 16:31:05] ppdet.engine INFO: Epoch: [199] [660/732] learning_rate: 0.045351 loss_vfl: 0.899549 loss_bbox: 0.451932 loss_dfl: 0.408536 loss: 1.756462 eta: 21:48:55 batch_cost: 0.6896 data_cost: 0.0003 ips: 58.0014 images/s
[07/28 16:31:22] ppdet.engine INFO: Epoch: [199] [680/732] learning_rate: 0.045330 loss_vfl: 1.034375 loss_bbox: 0.484712 loss_dfl: 0.439728 loss: 1.976057 eta: 21:48:31 batch_cost: 0.7299 data_cost: 0.0015 ips: 54.8047 images/s
[07/28 16:31:37] ppdet.engine INFO: Epoch: [199] [700/732] learning_rate: 0.045308 loss_vfl: 0.951902 loss_bbox: 0.457376 loss_dfl: 0.421250 loss: 1.807508 eta: 21:48:05 batch_cost: 0.6559 data_cost: 0.0040 ips: 60.9878 images/s
[07/28 16:31:53] ppdet.engine INFO: Epoch: [199] [720/732] learning_rate: 0.045287 loss_vfl: 0.950296 loss_bbox: 0.466175 loss_dfl: 0.423838 loss: 1.839197 eta: 21:47:39 batch_cost: 0.6480 data_cost: 0.0042 ips: 61.7299 images/s
[07/28 16:32:02] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 16:32:03] ppdet.engine INFO: Eval iter: 0
[07/28 16:32:20] ppdet.engine INFO: Eval iter: 100
[07/28 16:32:30] ppdet.engine INFO: Eval iter: 200
[07/28 16:32:40] ppdet.engine INFO: Eval iter: 300
[07/28 16:32:49] ppdet.engine INFO: Eval iter: 400
[07/28 16:32:59] ppdet.engine INFO: Eval iter: 500
[07/28 16:33:09] ppdet.engine INFO: Eval iter: 600
[07/28 16:33:25] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.95s)
creating index...
index created!
[07/28 16:33:26] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.82s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=102.76s).
Accumulating evaluation results...
DONE (t=19.26s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.291
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.429
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.308
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.108
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.312
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.448
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.269
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.443
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.472
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.210
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.529
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700
[07/28 16:35:35] ppdet.engine INFO: Total sample number: 4952, averge FPS: 71.72322978167742
[07/28 16:35:35] ppdet.engine INFO: Best test bbox ap is 0.291.
[07/28 16:35:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 16:35:36] ppdet.engine INFO: Epoch: [200] [  0/732] learning_rate: 0.045274 loss_vfl: 0.968039 loss_bbox: 0.466992 loss_dfl: 0.430218 loss: 1.856785 eta: 21:47:23 batch_cost: 0.5701 data_cost: 0.0016 ips: 70.1618 images/s
[07/28 16:35:52] ppdet.engine INFO: Epoch: [200] [ 20/732] learning_rate: 0.045252 loss_vfl: 0.918542 loss_bbox: 0.448755 loss_dfl: 0.405708 loss: 1.780030 eta: 21:46:57 batch_cost: 0.6344 data_cost: 0.0024 ips: 63.0475 images/s
[07/28 16:36:09] ppdet.engine INFO: Epoch: [200] [ 40/732] learning_rate: 0.045231 loss_vfl: 0.936696 loss_bbox: 0.439290 loss_dfl: 0.414519 loss: 1.814010 eta: 21:46:32 batch_cost: 0.6787 data_cost: 0.0035 ips: 58.9347 images/s
[07/28 16:36:25] ppdet.engine INFO: Epoch: [200] [ 60/732] learning_rate: 0.045209 loss_vfl: 0.906119 loss_bbox: 0.446496 loss_dfl: 0.399247 loss: 1.753051 eta: 21:46:07 batch_cost: 0.6882 data_cost: 0.0014 ips: 58.1236 images/s
[07/28 16:36:41] ppdet.engine INFO: Epoch: [200] [ 80/732] learning_rate: 0.045188 loss_vfl: 0.889562 loss_bbox: 0.414693 loss_dfl: 0.386206 loss: 1.691624 eta: 21:45:41 batch_cost: 0.6180 data_cost: 0.0003 ips: 64.7200 images/s
[07/28 16:36:57] ppdet.engine INFO: Epoch: [200] [100/732] learning_rate: 0.045166 loss_vfl: 0.951949 loss_bbox: 0.494659 loss_dfl: 0.424230 loss: 1.847578 eta: 21:45:15 batch_cost: 0.6629 data_cost: 0.0016 ips: 60.3423 images/s
[07/28 16:37:15] ppdet.engine INFO: Epoch: [200] [120/732] learning_rate: 0.045144 loss_vfl: 0.923943 loss_bbox: 0.458586 loss_dfl: 0.417063 loss: 1.785406 eta: 21:44:50 batch_cost: 0.7329 data_cost: 0.0013 ips: 54.5784 images/s
[07/28 16:37:33] ppdet.engine INFO: Epoch: [200] [140/732] learning_rate: 0.045123 loss_vfl: 0.919461 loss_bbox: 0.429952 loss_dfl: 0.393219 loss: 1.769794 eta: 21:44:26 batch_cost: 0.7897 data_cost: 0.0010 ips: 50.6520 images/s
[07/28 16:37:49] ppdet.engine INFO: Epoch: [200] [160/732] learning_rate: 0.045101 loss_vfl: 0.895142 loss_bbox: 0.454611 loss_dfl: 0.417815 loss: 1.746360 eta: 21:44:01 batch_cost: 0.7058 data_cost: 0.0009 ips: 56.6760 images/s
[07/28 16:38:07] ppdet.engine INFO: Epoch: [200] [180/732] learning_rate: 0.045080 loss_vfl: 0.902229 loss_bbox: 0.441567 loss_dfl: 0.404317 loss: 1.771097 eta: 21:43:36 batch_cost: 0.7281 data_cost: 0.0004 ips: 54.9367 images/s
[07/28 16:38:24] ppdet.engine INFO: Epoch: [200] [200/732] learning_rate: 0.045058 loss_vfl: 0.908222 loss_bbox: 0.442204 loss_dfl: 0.405402 loss: 1.743650 eta: 21:43:11 batch_cost: 0.6914 data_cost: 0.0010 ips: 57.8536 images/s
[07/28 16:38:40] ppdet.engine INFO: Epoch: [200] [220/732] learning_rate: 0.045037 loss_vfl: 0.912086 loss_bbox: 0.451302 loss_dfl: 0.406209 loss: 1.772275 eta: 21:42:46 batch_cost: 0.6715 data_cost: 0.0011 ips: 59.5711 images/s
[07/28 16:38:57] ppdet.engine INFO: Epoch: [200] [240/732] learning_rate: 0.045015 loss_vfl: 0.919507 loss_bbox: 0.449512 loss_dfl: 0.405644 loss: 1.769105 eta: 21:42:20 batch_cost: 0.6977 data_cost: 0.0003 ips: 57.3306 images/s
[07/28 16:39:14] ppdet.engine INFO: Epoch: [200] [260/732] learning_rate: 0.044994 loss_vfl: 0.949044 loss_bbox: 0.449514 loss_dfl: 0.413733 loss: 1.837999 eta: 21:41:55 batch_cost: 0.6755 data_cost: 0.0003 ips: 59.2161 images/s
[07/28 16:39:31] ppdet.engine INFO: Epoch: [200] [280/732] learning_rate: 0.044973 loss_vfl: 0.938900 loss_bbox: 0.441343 loss_dfl: 0.412184 loss: 1.794451 eta: 21:41:30 batch_cost: 0.7220 data_cost: 0.0022 ips: 55.4026 images/s
[07/28 16:39:48] ppdet.engine INFO: Epoch: [200] [300/732] learning_rate: 0.044951 loss_vfl: 0.896699 loss_bbox: 0.421015 loss_dfl: 0.399105 loss: 1.710824 eta: 21:41:05 batch_cost: 0.7203 data_cost: 0.0024 ips: 55.5318 images/s
[07/28 16:40:04] ppdet.engine INFO: Epoch: [200] [320/732] learning_rate: 0.044930 loss_vfl: 0.945946 loss_bbox: 0.458415 loss_dfl: 0.407837 loss: 1.808227 eta: 21:40:40 batch_cost: 0.6960 data_cost: 0.0003 ips: 57.4728 images/s
[07/28 16:40:21] ppdet.engine INFO: Epoch: [200] [340/732] learning_rate: 0.044908 loss_vfl: 0.939198 loss_bbox: 0.439503 loss_dfl: 0.421961 loss: 1.822611 eta: 21:40:15 batch_cost: 0.7098 data_cost: 0.0018 ips: 56.3500 images/s
[07/28 16:40:38] ppdet.engine INFO: Epoch: [200] [360/732] learning_rate: 0.044887 loss_vfl: 0.889028 loss_bbox: 0.426708 loss_dfl: 0.387309 loss: 1.705748 eta: 21:39:50 batch_cost: 0.7130 data_cost: 0.0029 ips: 56.1045 images/s
[07/28 16:40:54] ppdet.engine INFO: Epoch: [200] [380/732] learning_rate: 0.044865 loss_vfl: 0.976906 loss_bbox: 0.496172 loss_dfl: 0.445607 loss: 1.924795 eta: 21:39:25 batch_cost: 0.6940 data_cost: 0.0027 ips: 57.6338 images/s
[07/28 16:41:10] ppdet.engine INFO: Epoch: [200] [400/732] learning_rate: 0.044844 loss_vfl: 0.930625 loss_bbox: 0.452547 loss_dfl: 0.412831 loss: 1.800537 eta: 21:38:59 batch_cost: 0.6395 data_cost: 0.0008 ips: 62.5504 images/s
[07/28 16:41:27] ppdet.engine INFO: Epoch: [200] [420/732] learning_rate: 0.044822 loss_vfl: 0.900198 loss_bbox: 0.439535 loss_dfl: 0.400433 loss: 1.789299 eta: 21:38:35 batch_cost: 0.7325 data_cost: 0.0032 ips: 54.6110 images/s
[07/28 16:41:45] ppdet.engine INFO: Epoch: [200] [440/732] learning_rate: 0.044801 loss_vfl: 0.965097 loss_bbox: 0.475700 loss_dfl: 0.416946 loss: 1.893059 eta: 21:38:10 batch_cost: 0.7371 data_cost: 0.0035 ips: 54.2704 images/s
[07/28 16:42:01] ppdet.engine INFO: Epoch: [200] [460/732] learning_rate: 0.044780 loss_vfl: 0.900917 loss_bbox: 0.445577 loss_dfl: 0.390102 loss: 1.725296 eta: 21:37:45 batch_cost: 0.6920 data_cost: 0.0054 ips: 57.8008 images/s
[07/28 16:42:16] ppdet.engine INFO: Epoch: [200] [480/732] learning_rate: 0.044758 loss_vfl: 0.896122 loss_bbox: 0.448560 loss_dfl: 0.391393 loss: 1.718901 eta: 21:37:18 batch_cost: 0.5894 data_cost: 0.0018 ips: 67.8674 images/s
[07/28 16:42:32] ppdet.engine INFO: Epoch: [200] [500/732] learning_rate: 0.044737 loss_vfl: 0.937054 loss_bbox: 0.441746 loss_dfl: 0.409854 loss: 1.798750 eta: 21:36:53 batch_cost: 0.6066 data_cost: 0.0020 ips: 65.9373 images/s
[07/28 16:42:47] ppdet.engine INFO: Epoch: [200] [520/732] learning_rate: 0.044715 loss_vfl: 0.912162 loss_bbox: 0.465697 loss_dfl: 0.402017 loss: 1.790928 eta: 21:36:27 batch_cost: 0.6575 data_cost: 0.0019 ips: 60.8329 images/s
[07/28 16:43:04] ppdet.engine INFO: Epoch: [200] [540/732] learning_rate: 0.044694 loss_vfl: 0.934914 loss_bbox: 0.471233 loss_dfl: 0.423364 loss: 1.845487 eta: 21:36:02 batch_cost: 0.6754 data_cost: 0.0022 ips: 59.2251 images/s
[07/28 16:43:19] ppdet.engine INFO: Epoch: [200] [560/732] learning_rate: 0.044673 loss_vfl: 0.915688 loss_bbox: 0.444267 loss_dfl: 0.406884 loss: 1.741983 eta: 21:35:36 batch_cost: 0.6409 data_cost: 0.0023 ips: 62.4124 images/s
[07/28 16:43:36] ppdet.engine INFO: Epoch: [200] [580/732] learning_rate: 0.044651 loss_vfl: 0.938718 loss_bbox: 0.455953 loss_dfl: 0.414045 loss: 1.799346 eta: 21:35:11 batch_cost: 0.7125 data_cost: 0.0019 ips: 56.1368 images/s
[07/28 16:43:52] ppdet.engine INFO: Epoch: [200] [600/732] learning_rate: 0.044630 loss_vfl: 0.954168 loss_bbox: 0.462239 loss_dfl: 0.424014 loss: 1.842210 eta: 21:34:46 batch_cost: 0.6711 data_cost: 0.0014 ips: 59.6048 images/s
[07/28 16:44:08] ppdet.engine INFO: Epoch: [200] [620/732] learning_rate: 0.044609 loss_vfl: 0.944363 loss_bbox: 0.455852 loss_dfl: 0.411640 loss: 1.832432 eta: 21:34:20 batch_cost: 0.6735 data_cost: 0.0029 ips: 59.3954 images/s
[07/28 16:44:24] ppdet.engine INFO: Epoch: [200] [640/732] learning_rate: 0.044587 loss_vfl: 0.948155 loss_bbox: 0.445665 loss_dfl: 0.414823 loss: 1.808418 eta: 21:33:55 batch_cost: 0.6864 data_cost: 0.0013 ips: 58.2743 images/s
[07/28 16:44:40] ppdet.engine INFO: Epoch: [200] [660/732] learning_rate: 0.044566 loss_vfl: 0.943322 loss_bbox: 0.444683 loss_dfl: 0.410047 loss: 1.762384 eta: 21:33:30 batch_cost: 0.6569 data_cost: 0.0018 ips: 60.8898 images/s
[07/28 16:44:56] ppdet.engine INFO: Epoch: [200] [680/732] learning_rate: 0.044545 loss_vfl: 1.041116 loss_bbox: 0.499889 loss_dfl: 0.458749 loss: 2.012448 eta: 21:33:04 batch_cost: 0.6688 data_cost: 0.0021 ips: 59.8128 images/s
[07/28 16:45:14] ppdet.engine INFO: Epoch: [200] [700/732] learning_rate: 0.044523 loss_vfl: 0.979689 loss_bbox: 0.495176 loss_dfl: 0.443763 loss: 1.910531 eta: 21:32:39 batch_cost: 0.6763 data_cost: 0.0009 ips: 59.1411 images/s
[07/28 16:45:30] ppdet.engine INFO: Epoch: [200] [720/732] learning_rate: 0.044502 loss_vfl: 0.914817 loss_bbox: 0.460502 loss_dfl: 0.410432 loss: 1.788164 eta: 21:32:14 batch_cost: 0.6954 data_cost: 0.0057 ips: 57.5238 images/s
[07/28 16:45:45] ppdet.engine INFO: Epoch: [201] [  0/732] learning_rate: 0.044489 loss_vfl: 0.992162 loss_bbox: 0.464741 loss_dfl: 0.425079 loss: 1.873202 eta: 21:32:01 batch_cost: 0.8720 data_cost: 0.2526 ips: 45.8712 images/s
[07/28 16:46:04] ppdet.engine INFO: Epoch: [201] [ 20/732] learning_rate: 0.044468 loss_vfl: 0.963261 loss_bbox: 0.445280 loss_dfl: 0.416597 loss: 1.828132 eta: 21:31:37 batch_cost: 0.8133 data_cost: 0.0014 ips: 49.1821 images/s
[07/28 16:46:21] ppdet.engine INFO: Epoch: [201] [ 40/732] learning_rate: 0.044446 loss_vfl: 0.937703 loss_bbox: 0.454515 loss_dfl: 0.425136 loss: 1.814197 eta: 21:31:12 batch_cost: 0.7156 data_cost: 0.0004 ips: 55.8985 images/s
[07/28 16:46:39] ppdet.engine INFO: Epoch: [201] [ 60/732] learning_rate: 0.044425 loss_vfl: 0.970819 loss_bbox: 0.459294 loss_dfl: 0.427920 loss: 1.860921 eta: 21:30:47 batch_cost: 0.7372 data_cost: 0.0068 ips: 54.2561 images/s
[07/28 16:46:56] ppdet.engine INFO: Epoch: [201] [ 80/732] learning_rate: 0.044404 loss_vfl: 0.952506 loss_bbox: 0.473574 loss_dfl: 0.425488 loss: 1.856442 eta: 21:30:23 batch_cost: 0.7576 data_cost: 0.0014 ips: 52.8004 images/s
[07/28 16:47:13] ppdet.engine INFO: Epoch: [201] [100/732] learning_rate: 0.044383 loss_vfl: 0.945437 loss_bbox: 0.461926 loss_dfl: 0.410054 loss: 1.806657 eta: 21:29:58 batch_cost: 0.7025 data_cost: 0.0009 ips: 56.9388 images/s
[07/28 16:47:30] ppdet.engine INFO: Epoch: [201] [120/732] learning_rate: 0.044361 loss_vfl: 0.963897 loss_bbox: 0.436271 loss_dfl: 0.420061 loss: 1.837449 eta: 21:29:33 batch_cost: 0.7184 data_cost: 0.0003 ips: 55.6816 images/s
[07/28 16:47:47] ppdet.engine INFO: Epoch: [201] [140/732] learning_rate: 0.044340 loss_vfl: 0.884572 loss_bbox: 0.456527 loss_dfl: 0.396553 loss: 1.726178 eta: 21:29:08 batch_cost: 0.7146 data_cost: 0.0003 ips: 55.9725 images/s
[07/28 16:48:05] ppdet.engine INFO: Epoch: [201] [160/732] learning_rate: 0.044319 loss_vfl: 0.935066 loss_bbox: 0.423312 loss_dfl: 0.406096 loss: 1.757098 eta: 21:28:43 batch_cost: 0.7339 data_cost: 0.0009 ips: 54.5007 images/s
[07/28 16:48:23] ppdet.engine INFO: Epoch: [201] [180/732] learning_rate: 0.044297 loss_vfl: 0.979322 loss_bbox: 0.485619 loss_dfl: 0.424596 loss: 1.882109 eta: 21:28:19 batch_cost: 0.7351 data_cost: 0.0003 ips: 54.4138 images/s
[07/28 16:48:40] ppdet.engine INFO: Epoch: [201] [200/732] learning_rate: 0.044276 loss_vfl: 0.896129 loss_bbox: 0.446166 loss_dfl: 0.390168 loss: 1.721225 eta: 21:27:54 batch_cost: 0.7380 data_cost: 0.0035 ips: 54.2025 images/s
[07/28 16:48:57] ppdet.engine INFO: Epoch: [201] [220/732] learning_rate: 0.044255 loss_vfl: 0.935766 loss_bbox: 0.438972 loss_dfl: 0.409751 loss: 1.779615 eta: 21:27:29 batch_cost: 0.7281 data_cost: 0.0024 ips: 54.9380 images/s
[07/28 16:49:13] ppdet.engine INFO: Epoch: [201] [240/732] learning_rate: 0.044234 loss_vfl: 0.954228 loss_bbox: 0.435478 loss_dfl: 0.411819 loss: 1.816532 eta: 21:27:04 batch_cost: 0.6625 data_cost: 0.0009 ips: 60.3736 images/s
[07/28 16:49:30] ppdet.engine INFO: Epoch: [201] [260/732] learning_rate: 0.044212 loss_vfl: 0.928443 loss_bbox: 0.434936 loss_dfl: 0.408428 loss: 1.788532 eta: 21:26:39 batch_cost: 0.7205 data_cost: 0.0048 ips: 55.5173 images/s
[07/28 16:49:48] ppdet.engine INFO: Epoch: [201] [280/732] learning_rate: 0.044191 loss_vfl: 0.997785 loss_bbox: 0.439888 loss_dfl: 0.424844 loss: 1.870103 eta: 21:26:15 batch_cost: 0.7258 data_cost: 0.0016 ips: 55.1099 images/s
[07/28 16:50:04] ppdet.engine INFO: Epoch: [201] [300/732] learning_rate: 0.044170 loss_vfl: 0.947436 loss_bbox: 0.446431 loss_dfl: 0.410349 loss: 1.815868 eta: 21:25:50 batch_cost: 0.7067 data_cost: 0.0010 ips: 56.6020 images/s
[07/28 16:50:21] ppdet.engine INFO: Epoch: [201] [320/732] learning_rate: 0.044149 loss_vfl: 0.938938 loss_bbox: 0.437869 loss_dfl: 0.413377 loss: 1.790959 eta: 21:25:25 batch_cost: 0.6978 data_cost: 0.0035 ips: 57.3211 images/s
[07/28 16:50:38] ppdet.engine INFO: Epoch: [201] [340/732] learning_rate: 0.044128 loss_vfl: 0.985250 loss_bbox: 0.470137 loss_dfl: 0.429948 loss: 1.884867 eta: 21:25:00 batch_cost: 0.7022 data_cost: 0.0017 ips: 56.9646 images/s
[07/28 16:50:56] ppdet.engine INFO: Epoch: [201] [360/732] learning_rate: 0.044106 loss_vfl: 0.909933 loss_bbox: 0.448187 loss_dfl: 0.403417 loss: 1.774111 eta: 21:24:35 batch_cost: 0.7359 data_cost: 0.0013 ips: 54.3528 images/s
[07/28 16:51:12] ppdet.engine INFO: Epoch: [201] [380/732] learning_rate: 0.044085 loss_vfl: 0.995445 loss_bbox: 0.465824 loss_dfl: 0.430999 loss: 1.864558 eta: 21:24:10 batch_cost: 0.6794 data_cost: 0.0008 ips: 58.8773 images/s
[07/28 16:51:29] ppdet.engine INFO: Epoch: [201] [400/732] learning_rate: 0.044064 loss_vfl: 0.965150 loss_bbox: 0.474689 loss_dfl: 0.427930 loss: 1.874750 eta: 21:23:44 batch_cost: 0.6558 data_cost: 0.0021 ips: 60.9964 images/s
[07/28 16:51:45] ppdet.engine INFO: Epoch: [201] [420/732] learning_rate: 0.044043 loss_vfl: 0.929330 loss_bbox: 0.420681 loss_dfl: 0.391909 loss: 1.749607 eta: 21:23:19 batch_cost: 0.6946 data_cost: 0.0009 ips: 57.5858 images/s
[07/28 16:52:02] ppdet.engine INFO: Epoch: [201] [440/732] learning_rate: 0.044022 loss_vfl: 0.933240 loss_bbox: 0.468768 loss_dfl: 0.414297 loss: 1.800792 eta: 21:22:55 batch_cost: 0.7145 data_cost: 0.0019 ips: 55.9868 images/s
[07/28 16:52:17] ppdet.engine INFO: Epoch: [201] [460/732] learning_rate: 0.044000 loss_vfl: 0.914654 loss_bbox: 0.436857 loss_dfl: 0.402997 loss: 1.727095 eta: 21:22:29 batch_cost: 0.6579 data_cost: 0.0019 ips: 60.7973 images/s
[07/28 16:52:34] ppdet.engine INFO: Epoch: [201] [480/732] learning_rate: 0.043979 loss_vfl: 0.934111 loss_bbox: 0.440687 loss_dfl: 0.413180 loss: 1.770977 eta: 21:22:04 batch_cost: 0.6633 data_cost: 0.0003 ips: 60.3051 images/s
[07/28 16:52:50] ppdet.engine INFO: Epoch: [201] [500/732] learning_rate: 0.043958 loss_vfl: 0.956467 loss_bbox: 0.442843 loss_dfl: 0.414131 loss: 1.820260 eta: 21:21:38 batch_cost: 0.6341 data_cost: 0.0031 ips: 63.0786 images/s
[07/28 16:53:06] ppdet.engine INFO: Epoch: [201] [520/732] learning_rate: 0.043937 loss_vfl: 0.935129 loss_bbox: 0.449924 loss_dfl: 0.412892 loss: 1.770595 eta: 21:21:13 batch_cost: 0.6682 data_cost: 0.0019 ips: 59.8587 images/s
[07/28 16:53:22] ppdet.engine INFO: Epoch: [201] [540/732] learning_rate: 0.043916 loss_vfl: 0.925997 loss_bbox: 0.467190 loss_dfl: 0.419310 loss: 1.794019 eta: 21:20:48 batch_cost: 0.6559 data_cost: 0.0025 ips: 60.9871 images/s
[07/28 16:53:38] ppdet.engine INFO: Epoch: [201] [560/732] learning_rate: 0.043895 loss_vfl: 0.933107 loss_bbox: 0.455069 loss_dfl: 0.410397 loss: 1.814447 eta: 21:20:22 batch_cost: 0.6668 data_cost: 0.0003 ips: 59.9889 images/s
[07/28 16:53:54] ppdet.engine INFO: Epoch: [201] [580/732] learning_rate: 0.043874 loss_vfl: 0.971779 loss_bbox: 0.460714 loss_dfl: 0.416564 loss: 1.856604 eta: 21:19:57 batch_cost: 0.6595 data_cost: 0.0013 ips: 60.6516 images/s
[07/28 16:54:11] ppdet.engine INFO: Epoch: [201] [600/732] learning_rate: 0.043852 loss_vfl: 0.910862 loss_bbox: 0.415262 loss_dfl: 0.384597 loss: 1.718092 eta: 21:19:32 batch_cost: 0.7268 data_cost: 0.0017 ips: 55.0334 images/s
[07/28 16:54:28] ppdet.engine INFO: Epoch: [201] [620/732] learning_rate: 0.043831 loss_vfl: 0.899014 loss_bbox: 0.414339 loss_dfl: 0.395590 loss: 1.731559 eta: 21:19:07 batch_cost: 0.6930 data_cost: 0.0003 ips: 57.7209 images/s
[07/28 16:54:46] ppdet.engine INFO: Epoch: [201] [640/732] learning_rate: 0.043810 loss_vfl: 0.967072 loss_bbox: 0.452095 loss_dfl: 0.421687 loss: 1.836737 eta: 21:18:43 batch_cost: 0.7288 data_cost: 0.0021 ips: 54.8821 images/s
[07/28 16:55:03] ppdet.engine INFO: Epoch: [201] [660/732] learning_rate: 0.043789 loss_vfl: 0.892216 loss_bbox: 0.419745 loss_dfl: 0.387266 loss: 1.720441 eta: 21:18:18 batch_cost: 0.7030 data_cost: 0.0122 ips: 56.9022 images/s
[07/28 16:55:19] ppdet.engine INFO: Epoch: [201] [680/732] learning_rate: 0.043768 loss_vfl: 0.908524 loss_bbox: 0.429237 loss_dfl: 0.397528 loss: 1.748984 eta: 21:17:52 batch_cost: 0.6384 data_cost: 0.0025 ips: 62.6594 images/s
[07/28 16:55:36] ppdet.engine INFO: Epoch: [201] [700/732] learning_rate: 0.043747 loss_vfl: 0.893747 loss_bbox: 0.426678 loss_dfl: 0.389758 loss: 1.709862 eta: 21:17:27 batch_cost: 0.7029 data_cost: 0.0016 ips: 56.9041 images/s
[07/28 16:55:53] ppdet.engine INFO: Epoch: [201] [720/732] learning_rate: 0.043726 loss_vfl: 0.958248 loss_bbox: 0.473930 loss_dfl: 0.428825 loss: 1.865388 eta: 21:17:02 batch_cost: 0.7109 data_cost: 0.0030 ips: 56.2664 images/s
[07/28 16:56:08] ppdet.engine INFO: Epoch: [202] [  0/732] learning_rate: 0.043713 loss_vfl: 1.007585 loss_bbox: 0.479250 loss_dfl: 0.443457 loss: 1.957573 eta: 21:16:49 batch_cost: 0.9193 data_cost: 0.2800 ips: 43.5120 images/s
[07/28 16:56:26] ppdet.engine INFO: Epoch: [202] [ 20/732] learning_rate: 0.043692 loss_vfl: 0.978866 loss_bbox: 0.489248 loss_dfl: 0.436679 loss: 1.923597 eta: 21:16:25 batch_cost: 0.7887 data_cost: 0.0017 ips: 50.7168 images/s
[07/28 16:56:43] ppdet.engine INFO: Epoch: [202] [ 40/732] learning_rate: 0.043671 loss_vfl: 0.936582 loss_bbox: 0.456452 loss_dfl: 0.407273 loss: 1.806734 eta: 21:16:00 batch_cost: 0.6802 data_cost: 0.0025 ips: 58.8052 images/s
[07/28 16:57:00] ppdet.engine INFO: Epoch: [202] [ 60/732] learning_rate: 0.043650 loss_vfl: 0.949626 loss_bbox: 0.466593 loss_dfl: 0.426538 loss: 1.847055 eta: 21:15:35 batch_cost: 0.7189 data_cost: 0.0003 ips: 55.6390 images/s
[07/28 16:57:16] ppdet.engine INFO: Epoch: [202] [ 80/732] learning_rate: 0.043629 loss_vfl: 0.956365 loss_bbox: 0.439895 loss_dfl: 0.418988 loss: 1.821823 eta: 21:15:11 batch_cost: 0.7064 data_cost: 0.0026 ips: 56.6233 images/s
[07/28 16:57:33] ppdet.engine INFO: Epoch: [202] [100/732] learning_rate: 0.043608 loss_vfl: 1.011231 loss_bbox: 0.501376 loss_dfl: 0.448189 loss: 1.944702 eta: 21:14:46 batch_cost: 0.7453 data_cost: 0.0031 ips: 53.6670 images/s
[07/28 16:57:50] ppdet.engine INFO: Epoch: [202] [120/732] learning_rate: 0.043587 loss_vfl: 0.915291 loss_bbox: 0.447382 loss_dfl: 0.408011 loss: 1.764744 eta: 21:14:21 batch_cost: 0.7060 data_cost: 0.0006 ips: 56.6568 images/s
[07/28 16:58:09] ppdet.engine INFO: Epoch: [202] [140/732] learning_rate: 0.043566 loss_vfl: 0.939666 loss_bbox: 0.414433 loss_dfl: 0.406029 loss: 1.742383 eta: 21:13:57 batch_cost: 0.8054 data_cost: 0.0017 ips: 49.6669 images/s
[07/28 16:58:25] ppdet.engine INFO: Epoch: [202] [160/732] learning_rate: 0.043545 loss_vfl: 0.955796 loss_bbox: 0.461130 loss_dfl: 0.430864 loss: 1.845631 eta: 21:13:32 batch_cost: 0.6621 data_cost: 0.0028 ips: 60.4135 images/s
[07/28 16:58:42] ppdet.engine INFO: Epoch: [202] [180/732] learning_rate: 0.043524 loss_vfl: 0.922203 loss_bbox: 0.474564 loss_dfl: 0.420816 loss: 1.804626 eta: 21:13:07 batch_cost: 0.6782 data_cost: 0.0019 ips: 58.9798 images/s
[07/28 16:58:58] ppdet.engine INFO: Epoch: [202] [200/732] learning_rate: 0.043503 loss_vfl: 0.971690 loss_bbox: 0.462807 loss_dfl: 0.439602 loss: 1.896927 eta: 21:12:42 batch_cost: 0.6677 data_cost: 0.0019 ips: 59.9084 images/s
[07/28 16:59:14] ppdet.engine INFO: Epoch: [202] [220/732] learning_rate: 0.043482 loss_vfl: 0.949234 loss_bbox: 0.439888 loss_dfl: 0.403743 loss: 1.779429 eta: 21:12:17 batch_cost: 0.6621 data_cost: 0.0022 ips: 60.4122 images/s
[07/28 16:59:32] ppdet.engine INFO: Epoch: [202] [240/732] learning_rate: 0.043461 loss_vfl: 0.914097 loss_bbox: 0.443957 loss_dfl: 0.405079 loss: 1.759391 eta: 21:11:52 batch_cost: 0.7409 data_cost: 0.0034 ips: 53.9920 images/s
[07/28 16:59:48] ppdet.engine INFO: Epoch: [202] [260/732] learning_rate: 0.043440 loss_vfl: 0.998681 loss_bbox: 0.474690 loss_dfl: 0.438077 loss: 1.910223 eta: 21:11:27 batch_cost: 0.7082 data_cost: 0.0009 ips: 56.4786 images/s
[07/28 17:00:05] ppdet.engine INFO: Epoch: [202] [280/732] learning_rate: 0.043419 loss_vfl: 0.934035 loss_bbox: 0.467343 loss_dfl: 0.415523 loss: 1.810837 eta: 21:11:02 batch_cost: 0.6864 data_cost: 0.0037 ips: 58.2774 images/s
[07/28 17:00:21] ppdet.engine INFO: Epoch: [202] [300/732] learning_rate: 0.043398 loss_vfl: 0.889754 loss_bbox: 0.427830 loss_dfl: 0.386975 loss: 1.721238 eta: 21:10:37 batch_cost: 0.7043 data_cost: 0.0007 ips: 56.7912 images/s
[07/28 17:00:37] ppdet.engine INFO: Epoch: [202] [320/732] learning_rate: 0.043377 loss_vfl: 0.934568 loss_bbox: 0.450962 loss_dfl: 0.410885 loss: 1.803039 eta: 21:10:12 batch_cost: 0.6939 data_cost: 0.0004 ips: 57.6429 images/s
[07/28 17:00:53] ppdet.engine INFO: Epoch: [202] [340/732] learning_rate: 0.043356 loss_vfl: 0.971899 loss_bbox: 0.475241 loss_dfl: 0.438932 loss: 1.879013 eta: 21:09:47 batch_cost: 0.6376 data_cost: 0.0101 ips: 62.7400 images/s
[07/28 17:01:10] ppdet.engine INFO: Epoch: [202] [360/732] learning_rate: 0.043335 loss_vfl: 0.896127 loss_bbox: 0.436431 loss_dfl: 0.391298 loss: 1.744877 eta: 21:09:22 batch_cost: 0.6765 data_cost: 0.0015 ips: 59.1307 images/s
[07/28 17:01:26] ppdet.engine INFO: Epoch: [202] [380/732] learning_rate: 0.043314 loss_vfl: 0.961169 loss_bbox: 0.485320 loss_dfl: 0.441357 loss: 1.879401 eta: 21:08:56 batch_cost: 0.6386 data_cost: 0.0043 ips: 62.6403 images/s
[07/28 17:01:43] ppdet.engine INFO: Epoch: [202] [400/732] learning_rate: 0.043293 loss_vfl: 0.942969 loss_bbox: 0.466822 loss_dfl: 0.415561 loss: 1.804268 eta: 21:08:31 batch_cost: 0.6914 data_cost: 0.0019 ips: 57.8551 images/s
[07/28 17:01:59] ppdet.engine INFO: Epoch: [202] [420/732] learning_rate: 0.043272 loss_vfl: 0.937303 loss_bbox: 0.443599 loss_dfl: 0.412028 loss: 1.800385 eta: 21:08:07 batch_cost: 0.7012 data_cost: 0.0007 ips: 57.0446 images/s
[07/28 17:02:16] ppdet.engine INFO: Epoch: [202] [440/732] learning_rate: 0.043251 loss_vfl: 0.942473 loss_bbox: 0.457901 loss_dfl: 0.419655 loss: 1.819441 eta: 21:07:42 batch_cost: 0.7146 data_cost: 0.0003 ips: 55.9736 images/s
[07/28 17:02:32] ppdet.engine INFO: Epoch: [202] [460/732] learning_rate: 0.043230 loss_vfl: 0.868759 loss_bbox: 0.436418 loss_dfl: 0.393946 loss: 1.699150 eta: 21:07:17 batch_cost: 0.7168 data_cost: 0.0021 ips: 55.7999 images/s
[07/28 17:02:48] ppdet.engine INFO: Epoch: [202] [480/732] learning_rate: 0.043209 loss_vfl: 0.999579 loss_bbox: 0.471884 loss_dfl: 0.432754 loss: 1.907235 eta: 21:06:52 batch_cost: 0.6325 data_cost: 0.0003 ips: 63.2388 images/s
[07/28 17:03:04] ppdet.engine INFO: Epoch: [202] [500/732] learning_rate: 0.043188 loss_vfl: 0.925949 loss_bbox: 0.429261 loss_dfl: 0.398189 loss: 1.751428 eta: 21:06:26 batch_cost: 0.6665 data_cost: 0.0032 ips: 60.0130 images/s
[07/28 17:03:21] ppdet.engine INFO: Epoch: [202] [520/732] learning_rate: 0.043167 loss_vfl: 0.957158 loss_bbox: 0.441165 loss_dfl: 0.413928 loss: 1.813544 eta: 21:06:02 batch_cost: 0.6947 data_cost: 0.0003 ips: 57.5773 images/s
[07/28 17:03:38] ppdet.engine INFO: Epoch: [202] [540/732] learning_rate: 0.043147 loss_vfl: 0.954369 loss_bbox: 0.457109 loss_dfl: 0.420921 loss: 1.839797 eta: 21:05:37 batch_cost: 0.6987 data_cost: 0.0008 ips: 57.2458 images/s
[07/28 17:03:54] ppdet.engine INFO: Epoch: [202] [560/732] learning_rate: 0.043126 loss_vfl: 0.942960 loss_bbox: 0.453546 loss_dfl: 0.418312 loss: 1.791959 eta: 21:05:11 batch_cost: 0.6650 data_cost: 0.0035 ips: 60.1512 images/s
[07/28 17:04:10] ppdet.engine INFO: Epoch: [202] [580/732] learning_rate: 0.043105 loss_vfl: 0.956516 loss_bbox: 0.463186 loss_dfl: 0.425361 loss: 1.855776 eta: 21:04:46 batch_cost: 0.6752 data_cost: 0.0046 ips: 59.2396 images/s
[07/28 17:04:27] ppdet.engine INFO: Epoch: [202] [600/732] learning_rate: 0.043084 loss_vfl: 0.932649 loss_bbox: 0.461625 loss_dfl: 0.407204 loss: 1.805750 eta: 21:04:21 batch_cost: 0.6915 data_cost: 0.0043 ips: 57.8455 images/s
[07/28 17:04:43] ppdet.engine INFO: Epoch: [202] [620/732] learning_rate: 0.043063 loss_vfl: 0.918966 loss_bbox: 0.466885 loss_dfl: 0.413240 loss: 1.781110 eta: 21:03:57 batch_cost: 0.6860 data_cost: 0.0014 ips: 58.3109 images/s
[07/28 17:05:01] ppdet.engine INFO: Epoch: [202] [640/732] learning_rate: 0.043042 loss_vfl: 0.943119 loss_bbox: 0.446637 loss_dfl: 0.417781 loss: 1.796028 eta: 21:03:32 batch_cost: 0.7593 data_cost: 0.0090 ips: 52.6829 images/s
[07/28 17:05:19] ppdet.engine INFO: Epoch: [202] [660/732] learning_rate: 0.043021 loss_vfl: 0.953066 loss_bbox: 0.461629 loss_dfl: 0.422894 loss: 1.846359 eta: 21:03:08 batch_cost: 0.7298 data_cost: 0.0015 ips: 54.8126 images/s
[07/28 17:05:36] ppdet.engine INFO: Epoch: [202] [680/732] learning_rate: 0.043000 loss_vfl: 0.963426 loss_bbox: 0.460614 loss_dfl: 0.415065 loss: 1.832288 eta: 21:02:43 batch_cost: 0.7246 data_cost: 0.0016 ips: 55.2051 images/s
[07/28 17:05:52] ppdet.engine INFO: Epoch: [202] [700/732] learning_rate: 0.042980 loss_vfl: 0.881435 loss_bbox: 0.441390 loss_dfl: 0.397042 loss: 1.746886 eta: 21:02:18 batch_cost: 0.7016 data_cost: 0.0009 ips: 57.0143 images/s
[07/28 17:06:10] ppdet.engine INFO: Epoch: [202] [720/732] learning_rate: 0.042959 loss_vfl: 0.995119 loss_bbox: 0.466199 loss_dfl: 0.433573 loss: 1.904997 eta: 21:01:54 batch_cost: 0.7434 data_cost: 0.0017 ips: 53.8068 images/s
[07/28 17:06:24] ppdet.engine INFO: Epoch: [203] [  0/732] learning_rate: 0.042946 loss_vfl: 0.936822 loss_bbox: 0.455362 loss_dfl: 0.417303 loss: 1.797726 eta: 21:01:41 batch_cost: 0.8800 data_cost: 0.1520 ips: 45.4550 images/s
[07/28 17:06:42] ppdet.engine INFO: Epoch: [203] [ 20/732] learning_rate: 0.042925 loss_vfl: 0.963843 loss_bbox: 0.462597 loss_dfl: 0.423288 loss: 1.838638 eta: 21:01:16 batch_cost: 0.7153 data_cost: 0.0013 ips: 55.9236 images/s
[07/28 17:06:57] ppdet.engine INFO: Epoch: [203] [ 40/732] learning_rate: 0.042905 loss_vfl: 0.950235 loss_bbox: 0.501177 loss_dfl: 0.439764 loss: 1.900837 eta: 21:00:50 batch_cost: 0.6390 data_cost: 0.0016 ips: 62.5940 images/s
[07/28 17:07:14] ppdet.engine INFO: Epoch: [203] [ 60/732] learning_rate: 0.042884 loss_vfl: 0.945246 loss_bbox: 0.468570 loss_dfl: 0.417571 loss: 1.814674 eta: 21:00:26 batch_cost: 0.6916 data_cost: 0.0022 ips: 57.8355 images/s
[07/28 17:07:30] ppdet.engine INFO: Epoch: [203] [ 80/732] learning_rate: 0.042863 loss_vfl: 0.979409 loss_bbox: 0.480939 loss_dfl: 0.439729 loss: 1.914413 eta: 21:00:01 batch_cost: 0.7003 data_cost: 0.0003 ips: 57.1152 images/s
[07/28 17:07:48] ppdet.engine INFO: Epoch: [203] [100/732] learning_rate: 0.042842 loss_vfl: 0.924166 loss_bbox: 0.431093 loss_dfl: 0.396011 loss: 1.786140 eta: 20:59:36 batch_cost: 0.7380 data_cost: 0.0047 ips: 54.2009 images/s
[07/28 17:08:04] ppdet.engine INFO: Epoch: [203] [120/732] learning_rate: 0.042821 loss_vfl: 0.935216 loss_bbox: 0.458024 loss_dfl: 0.426026 loss: 1.820815 eta: 20:59:11 batch_cost: 0.6873 data_cost: 0.0031 ips: 58.2006 images/s
[07/28 17:08:23] ppdet.engine INFO: Epoch: [203] [140/732] learning_rate: 0.042800 loss_vfl: 0.906919 loss_bbox: 0.452539 loss_dfl: 0.401933 loss: 1.742909 eta: 20:58:47 batch_cost: 0.7558 data_cost: 0.0023 ips: 52.9256 images/s
[07/28 17:08:39] ppdet.engine INFO: Epoch: [203] [160/732] learning_rate: 0.042780 loss_vfl: 0.927231 loss_bbox: 0.453202 loss_dfl: 0.416655 loss: 1.799896 eta: 20:58:22 batch_cost: 0.7123 data_cost: 0.0010 ips: 56.1581 images/s
[07/28 17:08:55] ppdet.engine INFO: Epoch: [203] [180/732] learning_rate: 0.042759 loss_vfl: 0.950320 loss_bbox: 0.454974 loss_dfl: 0.422740 loss: 1.825334 eta: 20:57:57 batch_cost: 0.6672 data_cost: 0.0015 ips: 59.9487 images/s
[07/28 17:09:12] ppdet.engine INFO: Epoch: [203] [200/732] learning_rate: 0.042738 loss_vfl: 0.931732 loss_bbox: 0.445744 loss_dfl: 0.411533 loss: 1.780561 eta: 20:57:32 batch_cost: 0.6915 data_cost: 0.0022 ips: 57.8462 images/s
[07/28 17:09:29] ppdet.engine INFO: Epoch: [203] [220/732] learning_rate: 0.042717 loss_vfl: 0.932031 loss_bbox: 0.473888 loss_dfl: 0.420862 loss: 1.827129 eta: 20:57:07 batch_cost: 0.6669 data_cost: 0.0028 ips: 59.9826 images/s
[07/28 17:09:45] ppdet.engine INFO: Epoch: [203] [240/732] learning_rate: 0.042697 loss_vfl: 0.967743 loss_bbox: 0.472593 loss_dfl: 0.440062 loss: 1.867999 eta: 20:56:42 batch_cost: 0.6442 data_cost: 0.0003 ips: 62.0901 images/s
[07/28 17:10:02] ppdet.engine INFO: Epoch: [203] [260/732] learning_rate: 0.042676 loss_vfl: 0.943630 loss_bbox: 0.457197 loss_dfl: 0.427547 loss: 1.833822 eta: 20:56:17 batch_cost: 0.7101 data_cost: 0.0014 ips: 56.3262 images/s
[07/28 17:10:18] ppdet.engine INFO: Epoch: [203] [280/732] learning_rate: 0.042655 loss_vfl: 0.944108 loss_bbox: 0.457096 loss_dfl: 0.415320 loss: 1.820527 eta: 20:55:53 batch_cost: 0.7043 data_cost: 0.0009 ips: 56.7930 images/s
[07/28 17:10:34] ppdet.engine INFO: Epoch: [203] [300/732] learning_rate: 0.042634 loss_vfl: 0.919595 loss_bbox: 0.444869 loss_dfl: 0.414284 loss: 1.773293 eta: 20:55:28 batch_cost: 0.6739 data_cost: 0.0014 ips: 59.3598 images/s
[07/28 17:10:52] ppdet.engine INFO: Epoch: [203] [320/732] learning_rate: 0.042614 loss_vfl: 0.920561 loss_bbox: 0.441177 loss_dfl: 0.409424 loss: 1.776294 eta: 20:55:03 batch_cost: 0.7468 data_cost: 0.0009 ips: 53.5609 images/s
[07/28 17:11:08] ppdet.engine INFO: Epoch: [203] [340/732] learning_rate: 0.042593 loss_vfl: 0.995099 loss_bbox: 0.475189 loss_dfl: 0.449201 loss: 1.928860 eta: 20:54:38 batch_cost: 0.6735 data_cost: 0.0009 ips: 59.3886 images/s
[07/28 17:11:24] ppdet.engine INFO: Epoch: [203] [360/732] learning_rate: 0.042572 loss_vfl: 0.982952 loss_bbox: 0.468447 loss_dfl: 0.426743 loss: 1.894028 eta: 20:54:13 batch_cost: 0.6821 data_cost: 0.0026 ips: 58.6409 images/s
[07/28 17:11:39] ppdet.engine INFO: Epoch: [203] [380/732] learning_rate: 0.042552 loss_vfl: 0.903378 loss_bbox: 0.425370 loss_dfl: 0.395647 loss: 1.732141 eta: 20:53:48 batch_cost: 0.6720 data_cost: 0.0037 ips: 59.5244 images/s
[07/28 17:11:56] ppdet.engine INFO: Epoch: [203] [400/732] learning_rate: 0.042531 loss_vfl: 0.896930 loss_bbox: 0.437627 loss_dfl: 0.392342 loss: 1.734677 eta: 20:53:24 batch_cost: 0.7202 data_cost: 0.0061 ips: 55.5373 images/s
[07/28 17:12:13] ppdet.engine INFO: Epoch: [203] [420/732] learning_rate: 0.042510 loss_vfl: 0.952493 loss_bbox: 0.435764 loss_dfl: 0.412939 loss: 1.807645 eta: 20:52:59 batch_cost: 0.6867 data_cost: 0.0013 ips: 58.2521 images/s
[07/28 17:12:30] ppdet.engine INFO: Epoch: [203] [440/732] learning_rate: 0.042489 loss_vfl: 0.987600 loss_bbox: 0.475846 loss_dfl: 0.434134 loss: 1.904269 eta: 20:52:34 batch_cost: 0.7086 data_cost: 0.0004 ips: 56.4531 images/s
[07/28 17:12:47] ppdet.engine INFO: Epoch: [203] [460/732] learning_rate: 0.042469 loss_vfl: 0.931926 loss_bbox: 0.455150 loss_dfl: 0.416339 loss: 1.794872 eta: 20:52:09 batch_cost: 0.6700 data_cost: 0.0004 ips: 59.6999 images/s
[07/28 17:13:04] ppdet.engine INFO: Epoch: [203] [480/732] learning_rate: 0.042448 loss_vfl: 0.948965 loss_bbox: 0.451204 loss_dfl: 0.407903 loss: 1.818821 eta: 20:51:44 batch_cost: 0.7123 data_cost: 0.0025 ips: 56.1544 images/s
[07/28 17:13:21] ppdet.engine INFO: Epoch: [203] [500/732] learning_rate: 0.042427 loss_vfl: 0.938224 loss_bbox: 0.453229 loss_dfl: 0.420393 loss: 1.801050 eta: 20:51:20 batch_cost: 0.6887 data_cost: 0.0017 ips: 58.0814 images/s
[07/28 17:13:38] ppdet.engine INFO: Epoch: [203] [520/732] learning_rate: 0.042407 loss_vfl: 0.924600 loss_bbox: 0.444219 loss_dfl: 0.400234 loss: 1.742769 eta: 20:50:55 batch_cost: 0.7221 data_cost: 0.0021 ips: 55.3917 images/s
[07/28 17:13:56] ppdet.engine INFO: Epoch: [203] [540/732] learning_rate: 0.042386 loss_vfl: 0.973454 loss_bbox: 0.464765 loss_dfl: 0.428506 loss: 1.886542 eta: 20:50:31 batch_cost: 0.7289 data_cost: 0.0046 ips: 54.8735 images/s
[07/28 17:14:12] ppdet.engine INFO: Epoch: [203] [560/732] learning_rate: 0.042365 loss_vfl: 1.019486 loss_bbox: 0.485446 loss_dfl: 0.442707 loss: 1.943747 eta: 20:50:06 batch_cost: 0.6727 data_cost: 0.0041 ips: 59.4586 images/s
[07/28 17:14:28] ppdet.engine INFO: Epoch: [203] [580/732] learning_rate: 0.042345 loss_vfl: 0.940711 loss_bbox: 0.461915 loss_dfl: 0.425282 loss: 1.819486 eta: 20:49:40 batch_cost: 0.6437 data_cost: 0.0003 ips: 62.1407 images/s
[07/28 17:14:44] ppdet.engine INFO: Epoch: [203] [600/732] learning_rate: 0.042324 loss_vfl: 0.869736 loss_bbox: 0.414758 loss_dfl: 0.382101 loss: 1.655861 eta: 20:49:15 batch_cost: 0.6824 data_cost: 0.0004 ips: 58.6128 images/s
[07/28 17:15:02] ppdet.engine INFO: Epoch: [203] [620/732] learning_rate: 0.042303 loss_vfl: 0.910952 loss_bbox: 0.433214 loss_dfl: 0.404168 loss: 1.764461 eta: 20:48:51 batch_cost: 0.7368 data_cost: 0.0016 ips: 54.2922 images/s
[07/28 17:15:19] ppdet.engine INFO: Epoch: [203] [640/732] learning_rate: 0.042283 loss_vfl: 0.873614 loss_bbox: 0.423531 loss_dfl: 0.385578 loss: 1.679503 eta: 20:48:26 batch_cost: 0.6926 data_cost: 0.0028 ips: 57.7563 images/s
[07/28 17:15:34] ppdet.engine INFO: Epoch: [203] [660/732] learning_rate: 0.042262 loss_vfl: 0.913682 loss_bbox: 0.425735 loss_dfl: 0.394016 loss: 1.739166 eta: 20:48:01 batch_cost: 0.6430 data_cost: 0.0061 ips: 62.2079 images/s
[07/28 17:15:50] ppdet.engine INFO: Epoch: [203] [680/732] learning_rate: 0.042242 loss_vfl: 0.938200 loss_bbox: 0.454873 loss_dfl: 0.414336 loss: 1.790780 eta: 20:47:36 batch_cost: 0.6766 data_cost: 0.0026 ips: 59.1231 images/s
[07/28 17:16:06] ppdet.engine INFO: Epoch: [203] [700/732] learning_rate: 0.042221 loss_vfl: 0.972275 loss_bbox: 0.459623 loss_dfl: 0.426680 loss: 1.865701 eta: 20:47:11 batch_cost: 0.6822 data_cost: 0.0025 ips: 58.6364 images/s
[07/28 17:16:22] ppdet.engine INFO: Epoch: [203] [720/732] learning_rate: 0.042200 loss_vfl: 0.952487 loss_bbox: 0.439459 loss_dfl: 0.409532 loss: 1.795775 eta: 20:46:46 batch_cost: 0.6433 data_cost: 0.0010 ips: 62.1778 images/s
[07/28 17:16:37] ppdet.engine INFO: Epoch: [204] [  0/732] learning_rate: 0.042188 loss_vfl: 0.896571 loss_bbox: 0.441664 loss_dfl: 0.405599 loss: 1.726250 eta: 20:46:33 batch_cost: 0.8420 data_cost: 0.2299 ips: 47.5059 images/s
[07/28 17:16:55] ppdet.engine INFO: Epoch: [204] [ 20/732] learning_rate: 0.042167 loss_vfl: 0.915992 loss_bbox: 0.445480 loss_dfl: 0.413255 loss: 1.784890 eta: 20:46:08 batch_cost: 0.7288 data_cost: 0.0032 ips: 54.8818 images/s
[07/28 17:17:13] ppdet.engine INFO: Epoch: [204] [ 40/732] learning_rate: 0.042147 loss_vfl: 0.900972 loss_bbox: 0.423730 loss_dfl: 0.396958 loss: 1.736192 eta: 20:45:44 batch_cost: 0.7192 data_cost: 0.0060 ips: 55.6207 images/s
[07/28 17:17:29] ppdet.engine INFO: Epoch: [204] [ 60/732] learning_rate: 0.042126 loss_vfl: 0.900315 loss_bbox: 0.434686 loss_dfl: 0.404919 loss: 1.724726 eta: 20:45:19 batch_cost: 0.6727 data_cost: 0.0013 ips: 59.4663 images/s
[07/28 17:17:47] ppdet.engine INFO: Epoch: [204] [ 80/732] learning_rate: 0.042106 loss_vfl: 0.946772 loss_bbox: 0.455927 loss_dfl: 0.417718 loss: 1.824263 eta: 20:44:54 batch_cost: 0.7293 data_cost: 0.0012 ips: 54.8493 images/s
[07/28 17:18:03] ppdet.engine INFO: Epoch: [204] [100/732] learning_rate: 0.042085 loss_vfl: 0.938114 loss_bbox: 0.447053 loss_dfl: 0.412930 loss: 1.799167 eta: 20:44:29 batch_cost: 0.6882 data_cost: 0.0007 ips: 58.1185 images/s
[07/28 17:18:23] ppdet.engine INFO: Epoch: [204] [120/732] learning_rate: 0.042065 loss_vfl: 0.933496 loss_bbox: 0.437693 loss_dfl: 0.416400 loss: 1.771462 eta: 20:44:06 batch_cost: 0.8160 data_cost: 0.0005 ips: 49.0182 images/s
[07/28 17:18:40] ppdet.engine INFO: Epoch: [204] [140/732] learning_rate: 0.042044 loss_vfl: 0.927406 loss_bbox: 0.474131 loss_dfl: 0.415442 loss: 1.808168 eta: 20:43:41 batch_cost: 0.7230 data_cost: 0.0028 ips: 55.3234 images/s
[07/28 17:18:56] ppdet.engine INFO: Epoch: [204] [160/732] learning_rate: 0.042024 loss_vfl: 0.924240 loss_bbox: 0.450306 loss_dfl: 0.416571 loss: 1.812049 eta: 20:43:16 batch_cost: 0.6186 data_cost: 0.0018 ips: 64.6570 images/s
[07/28 17:19:13] ppdet.engine INFO: Epoch: [204] [180/732] learning_rate: 0.042003 loss_vfl: 0.968620 loss_bbox: 0.466071 loss_dfl: 0.438134 loss: 1.872472 eta: 20:42:51 batch_cost: 0.7333 data_cost: 0.0015 ips: 54.5515 images/s
[07/28 17:19:28] ppdet.engine INFO: Epoch: [204] [200/732] learning_rate: 0.041983 loss_vfl: 0.904157 loss_bbox: 0.434801 loss_dfl: 0.388069 loss: 1.748411 eta: 20:42:26 batch_cost: 0.5965 data_cost: 0.0008 ips: 67.0549 images/s
[07/28 17:19:44] ppdet.engine INFO: Epoch: [204] [220/732] learning_rate: 0.041962 loss_vfl: 0.969422 loss_bbox: 0.454501 loss_dfl: 0.423253 loss: 1.865527 eta: 20:42:01 batch_cost: 0.6668 data_cost: 0.0025 ips: 59.9877 images/s
[07/28 17:20:01] ppdet.engine INFO: Epoch: [204] [240/732] learning_rate: 0.041941 loss_vfl: 0.967967 loss_bbox: 0.463829 loss_dfl: 0.429450 loss: 1.885436 eta: 20:41:36 batch_cost: 0.7097 data_cost: 0.0017 ips: 56.3655 images/s
[07/28 17:20:18] ppdet.engine INFO: Epoch: [204] [260/732] learning_rate: 0.041921 loss_vfl: 0.944325 loss_bbox: 0.475515 loss_dfl: 0.422132 loss: 1.833660 eta: 20:41:11 batch_cost: 0.6698 data_cost: 0.0040 ips: 59.7154 images/s
[07/28 17:20:35] ppdet.engine INFO: Epoch: [204] [280/732] learning_rate: 0.041900 loss_vfl: 0.918992 loss_bbox: 0.428986 loss_dfl: 0.401044 loss: 1.778507 eta: 20:40:47 batch_cost: 0.7008 data_cost: 0.0005 ips: 57.0780 images/s
[07/28 17:20:52] ppdet.engine INFO: Epoch: [204] [300/732] learning_rate: 0.041880 loss_vfl: 0.974367 loss_bbox: 0.459715 loss_dfl: 0.419442 loss: 1.829838 eta: 20:40:21 batch_cost: 0.6548 data_cost: 0.0021 ips: 61.0912 images/s
[07/28 17:21:07] ppdet.engine INFO: Epoch: [204] [320/732] learning_rate: 0.041860 loss_vfl: 0.916343 loss_bbox: 0.461410 loss_dfl: 0.418981 loss: 1.784250 eta: 20:39:56 batch_cost: 0.6504 data_cost: 0.0011 ips: 61.5007 images/s
[07/28 17:21:24] ppdet.engine INFO: Epoch: [204] [340/732] learning_rate: 0.041839 loss_vfl: 0.924366 loss_bbox: 0.441699 loss_dfl: 0.414164 loss: 1.788603 eta: 20:39:32 batch_cost: 0.7325 data_cost: 0.0025 ips: 54.6064 images/s
[07/28 17:21:40] ppdet.engine INFO: Epoch: [204] [360/732] learning_rate: 0.041819 loss_vfl: 0.905636 loss_bbox: 0.446310 loss_dfl: 0.397114 loss: 1.759899 eta: 20:39:07 batch_cost: 0.6738 data_cost: 0.0016 ips: 59.3663 images/s
[07/28 17:21:57] ppdet.engine INFO: Epoch: [204] [380/732] learning_rate: 0.041798 loss_vfl: 0.916613 loss_bbox: 0.438422 loss_dfl: 0.400837 loss: 1.745579 eta: 20:38:43 batch_cost: 0.7136 data_cost: 0.0015 ips: 56.0577 images/s
[07/28 17:22:14] ppdet.engine INFO: Epoch: [204] [400/732] learning_rate: 0.041778 loss_vfl: 0.934161 loss_bbox: 0.437862 loss_dfl: 0.407431 loss: 1.773242 eta: 20:38:18 batch_cost: 0.6826 data_cost: 0.0023 ips: 58.6025 images/s
[07/28 17:22:30] ppdet.engine INFO: Epoch: [204] [420/732] learning_rate: 0.041757 loss_vfl: 0.968774 loss_bbox: 0.478507 loss_dfl: 0.430030 loss: 1.834513 eta: 20:37:53 batch_cost: 0.6573 data_cost: 0.0017 ips: 60.8596 images/s
[07/28 17:22:46] ppdet.engine INFO: Epoch: [204] [440/732] learning_rate: 0.041737 loss_vfl: 0.903948 loss_bbox: 0.438896 loss_dfl: 0.405083 loss: 1.752379 eta: 20:37:27 batch_cost: 0.6359 data_cost: 0.0016 ips: 62.8991 images/s
[07/28 17:23:03] ppdet.engine INFO: Epoch: [204] [460/732] learning_rate: 0.041716 loss_vfl: 1.006130 loss_bbox: 0.495720 loss_dfl: 0.446429 loss: 1.966993 eta: 20:37:03 batch_cost: 0.6949 data_cost: 0.0024 ips: 57.5623 images/s
[07/28 17:23:20] ppdet.engine INFO: Epoch: [204] [480/732] learning_rate: 0.041696 loss_vfl: 0.903571 loss_bbox: 0.432839 loss_dfl: 0.412737 loss: 1.791401 eta: 20:36:38 batch_cost: 0.7119 data_cost: 0.0013 ips: 56.1911 images/s
[07/28 17:23:37] ppdet.engine INFO: Epoch: [204] [500/732] learning_rate: 0.041675 loss_vfl: 0.900959 loss_bbox: 0.444251 loss_dfl: 0.400549 loss: 1.729858 eta: 20:36:14 batch_cost: 0.7292 data_cost: 0.0033 ips: 54.8517 images/s
[07/28 17:23:53] ppdet.engine INFO: Epoch: [204] [520/732] learning_rate: 0.041655 loss_vfl: 0.975095 loss_bbox: 0.475457 loss_dfl: 0.432245 loss: 1.860690 eta: 20:35:49 batch_cost: 0.7009 data_cost: 0.0015 ips: 57.0723 images/s
[07/28 17:24:10] ppdet.engine INFO: Epoch: [204] [540/732] learning_rate: 0.041635 loss_vfl: 0.967997 loss_bbox: 0.473146 loss_dfl: 0.436887 loss: 1.875458 eta: 20:35:25 batch_cost: 0.7014 data_cost: 0.0014 ips: 57.0317 images/s
[07/28 17:24:25] ppdet.engine INFO: Epoch: [204] [560/732] learning_rate: 0.041614 loss_vfl: 0.969251 loss_bbox: 0.468994 loss_dfl: 0.435350 loss: 1.871435 eta: 20:34:59 batch_cost: 0.6411 data_cost: 0.0014 ips: 62.3958 images/s
[07/28 17:24:42] ppdet.engine INFO: Epoch: [204] [580/732] learning_rate: 0.041594 loss_vfl: 0.892670 loss_bbox: 0.439799 loss_dfl: 0.391788 loss: 1.669474 eta: 20:34:35 batch_cost: 0.7056 data_cost: 0.0017 ips: 56.6927 images/s
[07/28 17:24:59] ppdet.engine INFO: Epoch: [204] [600/732] learning_rate: 0.041573 loss_vfl: 0.901072 loss_bbox: 0.436725 loss_dfl: 0.410709 loss: 1.761626 eta: 20:34:11 batch_cost: 0.7618 data_cost: 0.0007 ips: 52.5089 images/s
[07/28 17:25:16] ppdet.engine INFO: Epoch: [204] [620/732] learning_rate: 0.041553 loss_vfl: 0.964994 loss_bbox: 0.451737 loss_dfl: 0.423358 loss: 1.841247 eta: 20:33:46 batch_cost: 0.7146 data_cost: 0.0015 ips: 55.9788 images/s
[07/28 17:25:33] ppdet.engine INFO: Epoch: [204] [640/732] learning_rate: 0.041533 loss_vfl: 0.910204 loss_bbox: 0.423917 loss_dfl: 0.399399 loss: 1.748564 eta: 20:33:22 batch_cost: 0.7299 data_cost: 0.0013 ips: 54.8027 images/s
[07/28 17:25:50] ppdet.engine INFO: Epoch: [204] [660/732] learning_rate: 0.041512 loss_vfl: 0.932344 loss_bbox: 0.437668 loss_dfl: 0.411043 loss: 1.794853 eta: 20:32:57 batch_cost: 0.7028 data_cost: 0.0018 ips: 56.9162 images/s
[07/28 17:26:06] ppdet.engine INFO: Epoch: [204] [680/732] learning_rate: 0.041492 loss_vfl: 0.873949 loss_bbox: 0.432449 loss_dfl: 0.385428 loss: 1.685406 eta: 20:32:32 batch_cost: 0.6771 data_cost: 0.0017 ips: 59.0768 images/s
[07/28 17:26:22] ppdet.engine INFO: Epoch: [204] [700/732] learning_rate: 0.041472 loss_vfl: 0.956776 loss_bbox: 0.438779 loss_dfl: 0.400644 loss: 1.812474 eta: 20:32:07 batch_cost: 0.6216 data_cost: 0.0010 ips: 64.3483 images/s
[07/28 17:26:39] ppdet.engine INFO: Epoch: [204] [720/732] learning_rate: 0.041451 loss_vfl: 0.934926 loss_bbox: 0.440137 loss_dfl: 0.409905 loss: 1.812482 eta: 20:31:42 batch_cost: 0.6934 data_cost: 0.0028 ips: 57.6877 images/s
[07/28 17:26:53] ppdet.engine INFO: Epoch: [205] [  0/732] learning_rate: 0.041439 loss_vfl: 0.935725 loss_bbox: 0.449254 loss_dfl: 0.412764 loss: 1.792364 eta: 20:31:29 batch_cost: 0.8102 data_cost: 0.1738 ips: 49.3696 images/s
[07/28 17:27:12] ppdet.engine INFO: Epoch: [205] [ 20/732] learning_rate: 0.041419 loss_vfl: 0.960574 loss_bbox: 0.471751 loss_dfl: 0.414903 loss: 1.823726 eta: 20:31:05 batch_cost: 0.8064 data_cost: 0.0008 ips: 49.6043 images/s
[07/28 17:27:29] ppdet.engine INFO: Epoch: [205] [ 40/732] learning_rate: 0.041398 loss_vfl: 0.897156 loss_bbox: 0.442065 loss_dfl: 0.406905 loss: 1.743183 eta: 20:30:40 batch_cost: 0.6522 data_cost: 0.0006 ips: 61.3316 images/s
[07/28 17:27:46] ppdet.engine INFO: Epoch: [205] [ 60/732] learning_rate: 0.041378 loss_vfl: 0.938632 loss_bbox: 0.433349 loss_dfl: 0.409557 loss: 1.777654 eta: 20:30:15 batch_cost: 0.6931 data_cost: 0.0055 ips: 57.7104 images/s
[07/28 17:28:03] ppdet.engine INFO: Epoch: [205] [ 80/732] learning_rate: 0.041358 loss_vfl: 0.905052 loss_bbox: 0.449299 loss_dfl: 0.415620 loss: 1.802771 eta: 20:29:51 batch_cost: 0.6979 data_cost: 0.0027 ips: 57.3151 images/s
[07/28 17:28:20] ppdet.engine INFO: Epoch: [205] [100/732] learning_rate: 0.041337 loss_vfl: 0.881509 loss_bbox: 0.421569 loss_dfl: 0.396305 loss: 1.709872 eta: 20:29:26 batch_cost: 0.7001 data_cost: 0.0010 ips: 57.1345 images/s
[07/28 17:28:38] ppdet.engine INFO: Epoch: [205] [120/732] learning_rate: 0.041317 loss_vfl: 0.941370 loss_bbox: 0.458956 loss_dfl: 0.416150 loss: 1.821550 eta: 20:29:02 batch_cost: 0.7431 data_cost: 0.0024 ips: 53.8319 images/s
[07/28 17:28:55] ppdet.engine INFO: Epoch: [205] [140/732] learning_rate: 0.041297 loss_vfl: 0.994254 loss_bbox: 0.451131 loss_dfl: 0.429936 loss: 1.889176 eta: 20:28:37 batch_cost: 0.7008 data_cost: 0.0006 ips: 57.0806 images/s
[07/28 17:29:12] ppdet.engine INFO: Epoch: [205] [160/732] learning_rate: 0.041277 loss_vfl: 1.015023 loss_bbox: 0.492749 loss_dfl: 0.448133 loss: 1.954037 eta: 20:28:13 batch_cost: 0.7099 data_cost: 0.0021 ips: 56.3474 images/s
[07/28 17:29:31] ppdet.engine INFO: Epoch: [205] [180/732] learning_rate: 0.041256 loss_vfl: 0.927010 loss_bbox: 0.448716 loss_dfl: 0.416663 loss: 1.794236 eta: 20:27:49 batch_cost: 0.8085 data_cost: 0.0030 ips: 49.4772 images/s
[07/28 17:29:48] ppdet.engine INFO: Epoch: [205] [200/732] learning_rate: 0.041236 loss_vfl: 0.974856 loss_bbox: 0.455249 loss_dfl: 0.420115 loss: 1.832294 eta: 20:27:25 batch_cost: 0.6781 data_cost: 0.0004 ips: 58.9851 images/s
[07/28 17:30:05] ppdet.engine INFO: Epoch: [205] [220/732] learning_rate: 0.041216 loss_vfl: 0.919492 loss_bbox: 0.426172 loss_dfl: 0.398623 loss: 1.718609 eta: 20:27:00 batch_cost: 0.7508 data_cost: 0.0025 ips: 53.2734 images/s
[07/28 17:30:22] ppdet.engine INFO: Epoch: [205] [240/732] learning_rate: 0.041195 loss_vfl: 0.928705 loss_bbox: 0.464409 loss_dfl: 0.417259 loss: 1.793136 eta: 20:26:36 batch_cost: 0.6656 data_cost: 0.0011 ips: 60.0998 images/s
[07/28 17:30:39] ppdet.engine INFO: Epoch: [205] [260/732] learning_rate: 0.041175 loss_vfl: 1.049702 loss_bbox: 0.469571 loss_dfl: 0.431080 loss: 1.955142 eta: 20:26:11 batch_cost: 0.6976 data_cost: 0.0004 ips: 57.3362 images/s
[07/28 17:30:55] ppdet.engine INFO: Epoch: [205] [280/732] learning_rate: 0.041155 loss_vfl: 0.924507 loss_bbox: 0.420823 loss_dfl: 0.395357 loss: 1.751308 eta: 20:25:47 batch_cost: 0.7220 data_cost: 0.0019 ips: 55.4015 images/s
[07/28 17:31:11] ppdet.engine INFO: Epoch: [205] [300/732] learning_rate: 0.041135 loss_vfl: 0.977458 loss_bbox: 0.473511 loss_dfl: 0.439164 loss: 1.893986 eta: 20:25:22 batch_cost: 0.6611 data_cost: 0.0017 ips: 60.5033 images/s
[07/28 17:31:27] ppdet.engine INFO: Epoch: [205] [320/732] learning_rate: 0.041114 loss_vfl: 0.901554 loss_bbox: 0.423922 loss_dfl: 0.394671 loss: 1.721942 eta: 20:24:57 batch_cost: 0.6588 data_cost: 0.0030 ips: 60.7141 images/s
[07/28 17:31:43] ppdet.engine INFO: Epoch: [205] [340/732] learning_rate: 0.041094 loss_vfl: 0.963221 loss_bbox: 0.466040 loss_dfl: 0.429047 loss: 1.855868 eta: 20:24:32 batch_cost: 0.6741 data_cost: 0.0012 ips: 59.3349 images/s
[07/28 17:32:00] ppdet.engine INFO: Epoch: [205] [360/732] learning_rate: 0.041074 loss_vfl: 0.882032 loss_bbox: 0.443056 loss_dfl: 0.396213 loss: 1.754186 eta: 20:24:07 batch_cost: 0.6600 data_cost: 0.0027 ips: 60.6058 images/s
[07/28 17:32:16] ppdet.engine INFO: Epoch: [205] [380/732] learning_rate: 0.041054 loss_vfl: 0.947574 loss_bbox: 0.459278 loss_dfl: 0.416298 loss: 1.806243 eta: 20:23:42 batch_cost: 0.6886 data_cost: 0.0020 ips: 58.0916 images/s
[07/28 17:32:34] ppdet.engine INFO: Epoch: [205] [400/732] learning_rate: 0.041034 loss_vfl: 0.972050 loss_bbox: 0.466731 loss_dfl: 0.421241 loss: 1.853292 eta: 20:23:18 batch_cost: 0.7460 data_cost: 0.0003 ips: 53.6191 images/s
[07/28 17:32:51] ppdet.engine INFO: Epoch: [205] [420/732] learning_rate: 0.041013 loss_vfl: 0.921821 loss_bbox: 0.444411 loss_dfl: 0.403703 loss: 1.781275 eta: 20:22:54 batch_cost: 0.7095 data_cost: 0.0034 ips: 56.3772 images/s
[07/28 17:33:07] ppdet.engine INFO: Epoch: [205] [440/732] learning_rate: 0.040993 loss_vfl: 0.950570 loss_bbox: 0.459232 loss_dfl: 0.415741 loss: 1.811531 eta: 20:22:29 batch_cost: 0.6766 data_cost: 0.0026 ips: 59.1165 images/s
[07/28 17:33:23] ppdet.engine INFO: Epoch: [205] [460/732] learning_rate: 0.040973 loss_vfl: 0.943063 loss_bbox: 0.457316 loss_dfl: 0.420567 loss: 1.833730 eta: 20:22:04 batch_cost: 0.6670 data_cost: 0.0022 ips: 59.9734 images/s
[07/28 17:33:40] ppdet.engine INFO: Epoch: [205] [480/732] learning_rate: 0.040953 loss_vfl: 0.900671 loss_bbox: 0.426051 loss_dfl: 0.390134 loss: 1.709761 eta: 20:21:40 batch_cost: 0.7039 data_cost: 0.0009 ips: 56.8241 images/s
[07/28 17:33:57] ppdet.engine INFO: Epoch: [205] [500/732] learning_rate: 0.040933 loss_vfl: 0.945872 loss_bbox: 0.471672 loss_dfl: 0.431626 loss: 1.841707 eta: 20:21:15 batch_cost: 0.7381 data_cost: 0.0019 ips: 54.1952 images/s
[07/28 17:34:15] ppdet.engine INFO: Epoch: [205] [520/732] learning_rate: 0.040912 loss_vfl: 0.932440 loss_bbox: 0.458431 loss_dfl: 0.405651 loss: 1.784449 eta: 20:20:51 batch_cost: 0.7410 data_cost: 0.0061 ips: 53.9779 images/s
[07/28 17:34:32] ppdet.engine INFO: Epoch: [205] [540/732] learning_rate: 0.040892 loss_vfl: 0.929566 loss_bbox: 0.440325 loss_dfl: 0.415808 loss: 1.809300 eta: 20:20:27 batch_cost: 0.6888 data_cost: 0.0011 ips: 58.0723 images/s
[07/28 17:34:48] ppdet.engine INFO: Epoch: [205] [560/732] learning_rate: 0.040872 loss_vfl: 0.981712 loss_bbox: 0.464514 loss_dfl: 0.435091 loss: 1.862963 eta: 20:20:02 batch_cost: 0.6784 data_cost: 0.0022 ips: 58.9632 images/s
[07/28 17:35:05] ppdet.engine INFO: Epoch: [205] [580/732] learning_rate: 0.040852 loss_vfl: 0.931856 loss_bbox: 0.467089 loss_dfl: 0.423475 loss: 1.820159 eta: 20:19:37 batch_cost: 0.6655 data_cost: 0.0025 ips: 60.1073 images/s
[07/28 17:35:22] ppdet.engine INFO: Epoch: [205] [600/732] learning_rate: 0.040832 loss_vfl: 0.926703 loss_bbox: 0.452892 loss_dfl: 0.419972 loss: 1.804556 eta: 20:19:13 batch_cost: 0.7366 data_cost: 0.0004 ips: 54.3046 images/s
[07/28 17:35:38] ppdet.engine INFO: Epoch: [205] [620/732] learning_rate: 0.040812 loss_vfl: 1.013215 loss_bbox: 0.485676 loss_dfl: 0.444488 loss: 1.955384 eta: 20:18:48 batch_cost: 0.6674 data_cost: 0.0007 ips: 59.9377 images/s
[07/28 17:35:55] ppdet.engine INFO: Epoch: [205] [640/732] learning_rate: 0.040792 loss_vfl: 0.932665 loss_bbox: 0.434889 loss_dfl: 0.408064 loss: 1.759397 eta: 20:18:23 batch_cost: 0.6770 data_cost: 0.0003 ips: 59.0799 images/s
[07/28 17:36:12] ppdet.engine INFO: Epoch: [205] [660/732] learning_rate: 0.040771 loss_vfl: 0.932019 loss_bbox: 0.443765 loss_dfl: 0.400195 loss: 1.786034 eta: 20:17:59 batch_cost: 0.6934 data_cost: 0.0010 ips: 57.6843 images/s
[07/28 17:36:28] ppdet.engine INFO: Epoch: [205] [680/732] learning_rate: 0.040751 loss_vfl: 0.903963 loss_bbox: 0.432345 loss_dfl: 0.398337 loss: 1.734254 eta: 20:17:34 batch_cost: 0.6848 data_cost: 0.0005 ips: 58.4111 images/s
[07/28 17:36:45] ppdet.engine INFO: Epoch: [205] [700/732] learning_rate: 0.040731 loss_vfl: 0.916476 loss_bbox: 0.422660 loss_dfl: 0.399205 loss: 1.731346 eta: 20:17:10 batch_cost: 0.7118 data_cost: 0.0017 ips: 56.1934 images/s
[07/28 17:37:01] ppdet.engine INFO: Epoch: [205] [720/732] learning_rate: 0.040711 loss_vfl: 0.978163 loss_bbox: 0.457629 loss_dfl: 0.425562 loss: 1.866623 eta: 20:16:45 batch_cost: 0.6481 data_cost: 0.0013 ips: 61.7148 images/s
[07/28 17:37:16] ppdet.engine INFO: Epoch: [206] [  0/732] learning_rate: 0.040699 loss_vfl: 0.941198 loss_bbox: 0.439520 loss_dfl: 0.400744 loss: 1.764536 eta: 20:16:32 batch_cost: 0.9093 data_cost: 0.1365 ips: 43.9904 images/s
[07/28 17:37:34] ppdet.engine INFO: Epoch: [206] [ 20/732] learning_rate: 0.040679 loss_vfl: 0.951147 loss_bbox: 0.464387 loss_dfl: 0.428576 loss: 1.841684 eta: 20:16:08 batch_cost: 0.7188 data_cost: 0.0019 ips: 55.6520 images/s
[07/28 17:37:52] ppdet.engine INFO: Epoch: [206] [ 40/732] learning_rate: 0.040659 loss_vfl: 0.992309 loss_bbox: 0.471342 loss_dfl: 0.435640 loss: 1.894223 eta: 20:15:43 batch_cost: 0.7145 data_cost: 0.0059 ips: 55.9871 images/s
[07/28 17:38:09] ppdet.engine INFO: Epoch: [206] [ 60/732] learning_rate: 0.040639 loss_vfl: 0.956785 loss_bbox: 0.469952 loss_dfl: 0.424209 loss: 1.846773 eta: 20:15:19 batch_cost: 0.7496 data_cost: 0.0010 ips: 53.3638 images/s
[07/28 17:38:27] ppdet.engine INFO: Epoch: [206] [ 80/732] learning_rate: 0.040619 loss_vfl: 0.925961 loss_bbox: 0.457326 loss_dfl: 0.416586 loss: 1.788553 eta: 20:14:55 batch_cost: 0.7478 data_cost: 0.0018 ips: 53.4934 images/s
[07/28 17:38:45] ppdet.engine INFO: Epoch: [206] [100/732] learning_rate: 0.040599 loss_vfl: 0.948377 loss_bbox: 0.450556 loss_dfl: 0.411146 loss: 1.801070 eta: 20:14:31 batch_cost: 0.7510 data_cost: 0.0011 ips: 53.2627 images/s
[07/28 17:39:02] ppdet.engine INFO: Epoch: [206] [120/732] learning_rate: 0.040579 loss_vfl: 0.915449 loss_bbox: 0.434056 loss_dfl: 0.403466 loss: 1.762201 eta: 20:14:07 batch_cost: 0.7213 data_cost: 0.0022 ips: 55.4532 images/s
[07/28 17:39:19] ppdet.engine INFO: Epoch: [206] [140/732] learning_rate: 0.040559 loss_vfl: 0.917088 loss_bbox: 0.452235 loss_dfl: 0.403136 loss: 1.753929 eta: 20:13:42 batch_cost: 0.6682 data_cost: 0.0015 ips: 59.8600 images/s
[07/28 17:39:36] ppdet.engine INFO: Epoch: [206] [160/732] learning_rate: 0.040539 loss_vfl: 0.946245 loss_bbox: 0.463472 loss_dfl: 0.415143 loss: 1.805972 eta: 20:13:18 batch_cost: 0.6921 data_cost: 0.0013 ips: 57.7971 images/s
[07/28 17:39:53] ppdet.engine INFO: Epoch: [206] [180/732] learning_rate: 0.040519 loss_vfl: 0.898453 loss_bbox: 0.443503 loss_dfl: 0.403246 loss: 1.741712 eta: 20:12:53 batch_cost: 0.7149 data_cost: 0.0013 ips: 55.9501 images/s
[07/28 17:40:11] ppdet.engine INFO: Epoch: [206] [200/732] learning_rate: 0.040499 loss_vfl: 0.940103 loss_bbox: 0.448813 loss_dfl: 0.420714 loss: 1.826881 eta: 20:12:30 batch_cost: 0.7880 data_cost: 0.0029 ips: 50.7602 images/s
[07/28 17:40:28] ppdet.engine INFO: Epoch: [206] [220/732] learning_rate: 0.040479 loss_vfl: 0.927559 loss_bbox: 0.443546 loss_dfl: 0.402157 loss: 1.745010 eta: 20:12:05 batch_cost: 0.6868 data_cost: 0.0003 ips: 58.2430 images/s
[07/28 17:40:44] ppdet.engine INFO: Epoch: [206] [240/732] learning_rate: 0.040459 loss_vfl: 0.887846 loss_bbox: 0.427110 loss_dfl: 0.392644 loss: 1.710797 eta: 20:11:40 batch_cost: 0.6785 data_cost: 0.0014 ips: 58.9560 images/s
[07/28 17:41:00] ppdet.engine INFO: Epoch: [206] [260/732] learning_rate: 0.040439 loss_vfl: 0.965848 loss_bbox: 0.476704 loss_dfl: 0.422557 loss: 1.861075 eta: 20:11:16 batch_cost: 0.6763 data_cost: 0.0023 ips: 59.1434 images/s
[07/28 17:41:16] ppdet.engine INFO: Epoch: [206] [280/732] learning_rate: 0.040419 loss_vfl: 0.943195 loss_bbox: 0.438769 loss_dfl: 0.397326 loss: 1.786218 eta: 20:10:51 batch_cost: 0.6744 data_cost: 0.0012 ips: 59.3108 images/s
[07/28 17:41:33] ppdet.engine INFO: Epoch: [206] [300/732] learning_rate: 0.040399 loss_vfl: 0.964521 loss_bbox: 0.470011 loss_dfl: 0.428625 loss: 1.876154 eta: 20:10:26 batch_cost: 0.7032 data_cost: 0.0027 ips: 56.8805 images/s
[07/28 17:41:49] ppdet.engine INFO: Epoch: [206] [320/732] learning_rate: 0.040379 loss_vfl: 0.988264 loss_bbox: 0.483611 loss_dfl: 0.440235 loss: 1.913810 eta: 20:10:01 batch_cost: 0.6438 data_cost: 0.0009 ips: 62.1350 images/s
[07/28 17:42:05] ppdet.engine INFO: Epoch: [206] [340/732] learning_rate: 0.040359 loss_vfl: 0.926234 loss_bbox: 0.485395 loss_dfl: 0.420136 loss: 1.840945 eta: 20:09:37 batch_cost: 0.6716 data_cost: 0.0020 ips: 59.5606 images/s
[07/28 17:42:21] ppdet.engine INFO: Epoch: [206] [360/732] learning_rate: 0.040339 loss_vfl: 0.953243 loss_bbox: 0.461663 loss_dfl: 0.415256 loss: 1.835184 eta: 20:09:12 batch_cost: 0.6526 data_cost: 0.0009 ips: 61.2967 images/s
[07/28 17:42:38] ppdet.engine INFO: Epoch: [206] [380/732] learning_rate: 0.040319 loss_vfl: 0.913934 loss_bbox: 0.441121 loss_dfl: 0.405170 loss: 1.747511 eta: 20:08:47 batch_cost: 0.6704 data_cost: 0.0019 ips: 59.6615 images/s
[07/28 17:42:53] ppdet.engine INFO: Epoch: [206] [400/732] learning_rate: 0.040299 loss_vfl: 0.918639 loss_bbox: 0.438820 loss_dfl: 0.400401 loss: 1.773891 eta: 20:08:22 batch_cost: 0.6297 data_cost: 0.0024 ips: 63.5234 images/s
[07/28 17:43:10] ppdet.engine INFO: Epoch: [206] [420/732] learning_rate: 0.040279 loss_vfl: 0.889058 loss_bbox: 0.427678 loss_dfl: 0.394161 loss: 1.684655 eta: 20:07:57 batch_cost: 0.6795 data_cost: 0.0028 ips: 58.8669 images/s
[07/28 17:43:26] ppdet.engine INFO: Epoch: [206] [440/732] learning_rate: 0.040259 loss_vfl: 0.940279 loss_bbox: 0.435359 loss_dfl: 0.413598 loss: 1.789653 eta: 20:07:33 batch_cost: 0.6901 data_cost: 0.0045 ips: 57.9654 images/s
[07/28 17:43:42] ppdet.engine INFO: Epoch: [206] [460/732] learning_rate: 0.040239 loss_vfl: 0.964582 loss_bbox: 0.453310 loss_dfl: 0.421563 loss: 1.826128 eta: 20:07:08 batch_cost: 0.6151 data_cost: 0.0044 ips: 65.0326 images/s
[07/28 17:43:59] ppdet.engine INFO: Epoch: [206] [480/732] learning_rate: 0.040219 loss_vfl: 1.001434 loss_bbox: 0.489916 loss_dfl: 0.436015 loss: 1.930337 eta: 20:06:43 batch_cost: 0.7170 data_cost: 0.0018 ips: 55.7908 images/s
[07/28 17:44:14] ppdet.engine INFO: Epoch: [206] [500/732] learning_rate: 0.040199 loss_vfl: 0.945878 loss_bbox: 0.470744 loss_dfl: 0.429846 loss: 1.847347 eta: 20:06:18 batch_cost: 0.6432 data_cost: 0.0003 ips: 62.1911 images/s
[07/28 17:44:31] ppdet.engine INFO: Epoch: [206] [520/732] learning_rate: 0.040179 loss_vfl: 0.905518 loss_bbox: 0.437026 loss_dfl: 0.393402 loss: 1.708895 eta: 20:05:54 batch_cost: 0.6956 data_cost: 0.0028 ips: 57.5047 images/s
[07/28 17:44:48] ppdet.engine INFO: Epoch: [206] [540/732] learning_rate: 0.040159 loss_vfl: 0.929235 loss_bbox: 0.469065 loss_dfl: 0.415519 loss: 1.803609 eta: 20:05:30 batch_cost: 0.7231 data_cost: 0.0004 ips: 55.3175 images/s
[07/28 17:45:04] ppdet.engine INFO: Epoch: [206] [560/732] learning_rate: 0.040139 loss_vfl: 0.989107 loss_bbox: 0.454194 loss_dfl: 0.432174 loss: 1.860823 eta: 20:05:05 batch_cost: 0.6553 data_cost: 0.0012 ips: 61.0440 images/s
[07/28 17:45:21] ppdet.engine INFO: Epoch: [206] [580/732] learning_rate: 0.040119 loss_vfl: 0.942289 loss_bbox: 0.452705 loss_dfl: 0.422829 loss: 1.810120 eta: 20:04:40 batch_cost: 0.6856 data_cost: 0.0037 ips: 58.3422 images/s
[07/28 17:45:38] ppdet.engine INFO: Epoch: [206] [600/732] learning_rate: 0.040100 loss_vfl: 0.923874 loss_bbox: 0.456824 loss_dfl: 0.407311 loss: 1.792011 eta: 20:04:16 batch_cost: 0.7036 data_cost: 0.0017 ips: 56.8536 images/s
[07/28 17:45:55] ppdet.engine INFO: Epoch: [206] [620/732] learning_rate: 0.040080 loss_vfl: 0.969637 loss_bbox: 0.463889 loss_dfl: 0.426616 loss: 1.874329 eta: 20:03:52 batch_cost: 0.7060 data_cost: 0.0009 ips: 56.6549 images/s
[07/28 17:46:10] ppdet.engine INFO: Epoch: [206] [640/732] learning_rate: 0.040060 loss_vfl: 0.983582 loss_bbox: 0.474669 loss_dfl: 0.442106 loss: 1.901237 eta: 20:03:27 batch_cost: 0.6617 data_cost: 0.0016 ips: 60.4522 images/s
[07/28 17:46:27] ppdet.engine INFO: Epoch: [206] [660/732] learning_rate: 0.040040 loss_vfl: 0.944057 loss_bbox: 0.445613 loss_dfl: 0.418650 loss: 1.785644 eta: 20:03:02 batch_cost: 0.6834 data_cost: 0.0045 ips: 58.5306 images/s
[07/28 17:46:44] ppdet.engine INFO: Epoch: [206] [680/732] learning_rate: 0.040020 loss_vfl: 0.941843 loss_bbox: 0.460505 loss_dfl: 0.414580 loss: 1.832660 eta: 20:02:38 batch_cost: 0.7145 data_cost: 0.0024 ips: 55.9853 images/s
[07/28 17:47:00] ppdet.engine INFO: Epoch: [206] [700/732] learning_rate: 0.040000 loss_vfl: 1.016238 loss_bbox: 0.488030 loss_dfl: 0.445462 loss: 1.967341 eta: 20:02:13 batch_cost: 0.6471 data_cost: 0.0021 ips: 61.8107 images/s
[07/28 17:47:16] ppdet.engine INFO: Epoch: [206] [720/732] learning_rate: 0.039980 loss_vfl: 0.909851 loss_bbox: 0.431915 loss_dfl: 0.397368 loss: 1.724204 eta: 20:01:48 batch_cost: 0.6424 data_cost: 0.0030 ips: 62.2683 images/s
[07/28 17:47:29] ppdet.engine INFO: Epoch: [207] [  0/732] learning_rate: 0.039968 loss_vfl: 0.926682 loss_bbox: 0.475245 loss_dfl: 0.416075 loss: 1.808274 eta: 20:01:35 batch_cost: 0.8117 data_cost: 0.1544 ips: 49.2815 images/s
[07/28 17:47:50] ppdet.engine INFO: Epoch: [207] [ 20/732] learning_rate: 0.039949 loss_vfl: 0.940474 loss_bbox: 0.456704 loss_dfl: 0.420402 loss: 1.809138 eta: 20:01:12 batch_cost: 0.8759 data_cost: 0.0713 ips: 45.6690 images/s
[07/28 17:48:07] ppdet.engine INFO: Epoch: [207] [ 40/732] learning_rate: 0.039929 loss_vfl: 0.963148 loss_bbox: 0.452668 loss_dfl: 0.414782 loss: 1.801172 eta: 20:00:47 batch_cost: 0.7106 data_cost: 0.0015 ips: 56.2894 images/s
[07/28 17:48:26] ppdet.engine INFO: Epoch: [207] [ 60/732] learning_rate: 0.039909 loss_vfl: 0.952082 loss_bbox: 0.478732 loss_dfl: 0.437774 loss: 1.860031 eta: 20:00:24 batch_cost: 0.7858 data_cost: 0.0009 ips: 50.9017 images/s
[07/28 17:48:44] ppdet.engine INFO: Epoch: [207] [ 80/732] learning_rate: 0.039889 loss_vfl: 0.907209 loss_bbox: 0.439160 loss_dfl: 0.406590 loss: 1.765481 eta: 20:00:00 batch_cost: 0.7673 data_cost: 0.0020 ips: 52.1292 images/s
[07/28 17:49:00] ppdet.engine INFO: Epoch: [207] [100/732] learning_rate: 0.039869 loss_vfl: 0.924094 loss_bbox: 0.460190 loss_dfl: 0.412747 loss: 1.792367 eta: 19:59:35 batch_cost: 0.6692 data_cost: 0.0068 ips: 59.7770 images/s
[07/28 17:49:16] ppdet.engine INFO: Epoch: [207] [120/732] learning_rate: 0.039850 loss_vfl: 0.949320 loss_bbox: 0.444083 loss_dfl: 0.418830 loss: 1.811712 eta: 19:59:11 batch_cost: 0.6834 data_cost: 0.0006 ips: 58.5335 images/s
[07/28 17:49:33] ppdet.engine INFO: Epoch: [207] [140/732] learning_rate: 0.039830 loss_vfl: 0.994998 loss_bbox: 0.485497 loss_dfl: 0.438306 loss: 1.926568 eta: 19:58:46 batch_cost: 0.6768 data_cost: 0.0013 ips: 59.1023 images/s
[07/28 17:49:50] ppdet.engine INFO: Epoch: [207] [160/732] learning_rate: 0.039810 loss_vfl: 0.899200 loss_bbox: 0.449297 loss_dfl: 0.398978 loss: 1.729013 eta: 19:58:22 batch_cost: 0.7156 data_cost: 0.0004 ips: 55.8946 images/s
[07/28 17:50:06] ppdet.engine INFO: Epoch: [207] [180/732] learning_rate: 0.039790 loss_vfl: 0.906414 loss_bbox: 0.447182 loss_dfl: 0.398794 loss: 1.747684 eta: 19:57:57 batch_cost: 0.6787 data_cost: 0.0006 ips: 58.9378 images/s
[07/28 17:50:23] ppdet.engine INFO: Epoch: [207] [200/732] learning_rate: 0.039770 loss_vfl: 0.969733 loss_bbox: 0.473108 loss_dfl: 0.420664 loss: 1.855696 eta: 19:57:33 batch_cost: 0.6930 data_cost: 0.0004 ips: 57.7201 images/s
[07/28 17:50:39] ppdet.engine INFO: Epoch: [207] [220/732] learning_rate: 0.039751 loss_vfl: 0.982254 loss_bbox: 0.471176 loss_dfl: 0.427421 loss: 1.857357 eta: 19:57:09 batch_cost: 0.7075 data_cost: 0.0019 ips: 56.5343 images/s
[07/28 17:50:56] ppdet.engine INFO: Epoch: [207] [240/732] learning_rate: 0.039731 loss_vfl: 0.912353 loss_bbox: 0.432449 loss_dfl: 0.401303 loss: 1.752664 eta: 19:56:44 batch_cost: 0.7317 data_cost: 0.0030 ips: 54.6666 images/s
[07/28 17:51:13] ppdet.engine INFO: Epoch: [207] [260/732] learning_rate: 0.039711 loss_vfl: 0.932637 loss_bbox: 0.463828 loss_dfl: 0.414615 loss: 1.820633 eta: 19:56:20 batch_cost: 0.7329 data_cost: 0.0034 ips: 54.5798 images/s
[07/28 17:51:30] ppdet.engine INFO: Epoch: [207] [280/732] learning_rate: 0.039691 loss_vfl: 0.951427 loss_bbox: 0.450672 loss_dfl: 0.403984 loss: 1.765178 eta: 19:55:56 batch_cost: 0.6834 data_cost: 0.0022 ips: 58.5295 images/s
[07/28 17:51:46] ppdet.engine INFO: Epoch: [207] [300/732] learning_rate: 0.039672 loss_vfl: 0.916434 loss_bbox: 0.449979 loss_dfl: 0.413208 loss: 1.791850 eta: 19:55:31 batch_cost: 0.6371 data_cost: 0.0021 ips: 62.7844 images/s
[07/28 17:52:03] ppdet.engine INFO: Epoch: [207] [320/732] learning_rate: 0.039652 loss_vfl: 0.907505 loss_bbox: 0.448028 loss_dfl: 0.402554 loss: 1.761716 eta: 19:55:07 batch_cost: 0.6966 data_cost: 0.0009 ips: 57.4215 images/s
[07/28 17:52:19] ppdet.engine INFO: Epoch: [207] [340/732] learning_rate: 0.039632 loss_vfl: 0.940689 loss_bbox: 0.448369 loss_dfl: 0.402284 loss: 1.805939 eta: 19:54:42 batch_cost: 0.6727 data_cost: 0.0003 ips: 59.4624 images/s
[07/28 17:52:36] ppdet.engine INFO: Epoch: [207] [360/732] learning_rate: 0.039613 loss_vfl: 0.835672 loss_bbox: 0.367227 loss_dfl: 0.359834 loss: 1.541112 eta: 19:54:18 batch_cost: 0.6926 data_cost: 0.0022 ips: 57.7536 images/s
[07/28 17:52:53] ppdet.engine INFO: Epoch: [207] [380/732] learning_rate: 0.039593 loss_vfl: 0.958065 loss_bbox: 0.468074 loss_dfl: 0.431245 loss: 1.852452 eta: 19:53:53 batch_cost: 0.6864 data_cost: 0.0003 ips: 58.2744 images/s
[07/28 17:53:08] ppdet.engine INFO: Epoch: [207] [400/732] learning_rate: 0.039573 loss_vfl: 0.908479 loss_bbox: 0.452097 loss_dfl: 0.402305 loss: 1.755338 eta: 19:53:28 batch_cost: 0.6514 data_cost: 0.0021 ips: 61.4088 images/s
[07/28 17:53:26] ppdet.engine INFO: Epoch: [207] [420/732] learning_rate: 0.039553 loss_vfl: 0.883953 loss_bbox: 0.421984 loss_dfl: 0.398286 loss: 1.727167 eta: 19:53:04 batch_cost: 0.7232 data_cost: 0.0008 ips: 55.3106 images/s
[07/28 17:53:43] ppdet.engine INFO: Epoch: [207] [440/732] learning_rate: 0.039534 loss_vfl: 0.994972 loss_bbox: 0.476840 loss_dfl: 0.437649 loss: 1.916158 eta: 19:52:40 batch_cost: 0.7312 data_cost: 0.0029 ips: 54.7065 images/s
[07/28 17:54:00] ppdet.engine INFO: Epoch: [207] [460/732] learning_rate: 0.039514 loss_vfl: 0.923452 loss_bbox: 0.439933 loss_dfl: 0.410048 loss: 1.770250 eta: 19:52:16 batch_cost: 0.6863 data_cost: 0.0025 ips: 58.2872 images/s
[07/28 17:54:16] ppdet.engine INFO: Epoch: [207] [480/732] learning_rate: 0.039494 loss_vfl: 0.844431 loss_bbox: 0.397943 loss_dfl: 0.374298 loss: 1.629880 eta: 19:51:51 batch_cost: 0.6675 data_cost: 0.0013 ips: 59.9296 images/s
[07/28 17:54:33] ppdet.engine INFO: Epoch: [207] [500/732] learning_rate: 0.039475 loss_vfl: 0.895418 loss_bbox: 0.440826 loss_dfl: 0.394378 loss: 1.723461 eta: 19:51:27 batch_cost: 0.7005 data_cost: 0.0037 ips: 57.1042 images/s
[07/28 17:54:49] ppdet.engine INFO: Epoch: [207] [520/732] learning_rate: 0.039455 loss_vfl: 0.909769 loss_bbox: 0.443996 loss_dfl: 0.416498 loss: 1.794549 eta: 19:51:02 batch_cost: 0.6609 data_cost: 0.0027 ips: 60.5238 images/s
[07/28 17:55:06] ppdet.engine INFO: Epoch: [207] [540/732] learning_rate: 0.039435 loss_vfl: 0.979665 loss_bbox: 0.472530 loss_dfl: 0.436736 loss: 1.891764 eta: 19:50:38 batch_cost: 0.6997 data_cost: 0.0027 ips: 57.1651 images/s
[07/28 17:55:23] ppdet.engine INFO: Epoch: [207] [560/732] learning_rate: 0.039416 loss_vfl: 0.973094 loss_bbox: 0.462377 loss_dfl: 0.425978 loss: 1.845547 eta: 19:50:14 batch_cost: 0.7287 data_cost: 0.0009 ips: 54.8948 images/s
[07/28 17:55:40] ppdet.engine INFO: Epoch: [207] [580/732] learning_rate: 0.039396 loss_vfl: 0.922026 loss_bbox: 0.450939 loss_dfl: 0.407697 loss: 1.781225 eta: 19:49:49 batch_cost: 0.7062 data_cost: 0.0018 ips: 56.6390 images/s
[07/28 17:55:57] ppdet.engine INFO: Epoch: [207] [600/732] learning_rate: 0.039377 loss_vfl: 0.966027 loss_bbox: 0.441105 loss_dfl: 0.413016 loss: 1.806607 eta: 19:49:25 batch_cost: 0.7168 data_cost: 0.0037 ips: 55.8072 images/s
[07/28 17:56:14] ppdet.engine INFO: Epoch: [207] [620/732] learning_rate: 0.039357 loss_vfl: 0.965991 loss_bbox: 0.442424 loss_dfl: 0.425355 loss: 1.810992 eta: 19:49:01 batch_cost: 0.6970 data_cost: 0.0024 ips: 57.3895 images/s
[07/28 17:56:31] ppdet.engine INFO: Epoch: [207] [640/732] learning_rate: 0.039337 loss_vfl: 0.954125 loss_bbox: 0.441194 loss_dfl: 0.411447 loss: 1.809483 eta: 19:48:36 batch_cost: 0.6836 data_cost: 0.0038 ips: 58.5127 images/s
[07/28 17:56:48] ppdet.engine INFO: Epoch: [207] [660/732] learning_rate: 0.039318 loss_vfl: 0.948980 loss_bbox: 0.454872 loss_dfl: 0.423049 loss: 1.822292 eta: 19:48:12 batch_cost: 0.7037 data_cost: 0.0005 ips: 56.8450 images/s
[07/28 17:57:05] ppdet.engine INFO: Epoch: [207] [680/732] learning_rate: 0.039298 loss_vfl: 0.952974 loss_bbox: 0.457215 loss_dfl: 0.416226 loss: 1.819287 eta: 19:47:48 batch_cost: 0.7080 data_cost: 0.0048 ips: 56.4978 images/s
[07/28 17:57:22] ppdet.engine INFO: Epoch: [207] [700/732] learning_rate: 0.039278 loss_vfl: 0.960591 loss_bbox: 0.445170 loss_dfl: 0.410486 loss: 1.819292 eta: 19:47:23 batch_cost: 0.7108 data_cost: 0.0061 ips: 56.2727 images/s
[07/28 17:57:39] ppdet.engine INFO: Epoch: [207] [720/732] learning_rate: 0.039259 loss_vfl: 0.879328 loss_bbox: 0.428700 loss_dfl: 0.399995 loss: 1.717421 eta: 19:46:59 batch_cost: 0.6897 data_cost: 0.0005 ips: 57.9993 images/s
[07/28 17:57:53] ppdet.engine INFO: Epoch: [208] [  0/732] learning_rate: 0.039247 loss_vfl: 0.879270 loss_bbox: 0.449781 loss_dfl: 0.400062 loss: 1.732510 eta: 19:46:46 batch_cost: 0.8294 data_cost: 0.2413 ips: 48.2278 images/s
[07/28 17:58:12] ppdet.engine INFO: Epoch: [208] [ 20/732] learning_rate: 0.039228 loss_vfl: 0.893844 loss_bbox: 0.424962 loss_dfl: 0.386663 loss: 1.692003 eta: 19:46:22 batch_cost: 0.7766 data_cost: 0.0039 ips: 51.5074 images/s
[07/28 17:58:28] ppdet.engine INFO: Epoch: [208] [ 40/732] learning_rate: 0.039208 loss_vfl: 0.931008 loss_bbox: 0.443026 loss_dfl: 0.415956 loss: 1.784077 eta: 19:45:58 batch_cost: 0.7224 data_cost: 0.0009 ips: 55.3717 images/s
[07/28 17:58:47] ppdet.engine INFO: Epoch: [208] [ 60/732] learning_rate: 0.039188 loss_vfl: 0.938489 loss_bbox: 0.467332 loss_dfl: 0.411202 loss: 1.829540 eta: 19:45:34 batch_cost: 0.7537 data_cost: 0.0018 ips: 53.0739 images/s
[07/28 17:59:03] ppdet.engine INFO: Epoch: [208] [ 80/732] learning_rate: 0.039169 loss_vfl: 0.939849 loss_bbox: 0.436015 loss_dfl: 0.426848 loss: 1.826050 eta: 19:45:10 batch_cost: 0.7049 data_cost: 0.0003 ips: 56.7459 images/s
[07/28 17:59:19] ppdet.engine INFO: Epoch: [208] [100/732] learning_rate: 0.039149 loss_vfl: 0.945782 loss_bbox: 0.447707 loss_dfl: 0.405916 loss: 1.797095 eta: 19:44:45 batch_cost: 0.6350 data_cost: 0.0011 ips: 62.9963 images/s
[07/28 17:59:37] ppdet.engine INFO: Epoch: [208] [120/732] learning_rate: 0.039130 loss_vfl: 0.915555 loss_bbox: 0.455575 loss_dfl: 0.409127 loss: 1.783640 eta: 19:44:21 batch_cost: 0.7352 data_cost: 0.0017 ips: 54.4066 images/s
[07/28 17:59:53] ppdet.engine INFO: Epoch: [208] [140/732] learning_rate: 0.039110 loss_vfl: 0.876095 loss_bbox: 0.407114 loss_dfl: 0.384492 loss: 1.663818 eta: 19:43:56 batch_cost: 0.6445 data_cost: 0.0034 ips: 62.0667 images/s
[07/28 18:00:09] ppdet.engine INFO: Epoch: [208] [160/732] learning_rate: 0.039091 loss_vfl: 0.954245 loss_bbox: 0.453910 loss_dfl: 0.414225 loss: 1.815590 eta: 19:43:32 batch_cost: 0.6751 data_cost: 0.0040 ips: 59.2481 images/s
[07/28 18:00:24] ppdet.engine INFO: Epoch: [208] [180/732] learning_rate: 0.039071 loss_vfl: 0.888995 loss_bbox: 0.427318 loss_dfl: 0.397967 loss: 1.699723 eta: 19:43:07 batch_cost: 0.6332 data_cost: 0.0003 ips: 63.1725 images/s
[07/28 18:00:41] ppdet.engine INFO: Epoch: [208] [200/732] learning_rate: 0.039052 loss_vfl: 0.918918 loss_bbox: 0.436041 loss_dfl: 0.402539 loss: 1.744369 eta: 19:42:43 batch_cost: 0.7054 data_cost: 0.0007 ips: 56.7037 images/s
[07/28 18:00:57] ppdet.engine INFO: Epoch: [208] [220/732] learning_rate: 0.039032 loss_vfl: 0.915560 loss_bbox: 0.450877 loss_dfl: 0.410795 loss: 1.762985 eta: 19:42:18 batch_cost: 0.6910 data_cost: 0.0014 ips: 57.8863 images/s
[07/28 18:01:14] ppdet.engine INFO: Epoch: [208] [240/732] learning_rate: 0.039013 loss_vfl: 0.929803 loss_bbox: 0.445110 loss_dfl: 0.415088 loss: 1.802803 eta: 19:41:54 batch_cost: 0.7089 data_cost: 0.0015 ips: 56.4234 images/s
[07/28 18:01:31] ppdet.engine INFO: Epoch: [208] [260/732] learning_rate: 0.038993 loss_vfl: 0.957196 loss_bbox: 0.438544 loss_dfl: 0.414738 loss: 1.836962 eta: 19:41:30 batch_cost: 0.6947 data_cost: 0.0003 ips: 57.5818 images/s
[07/28 18:01:47] ppdet.engine INFO: Epoch: [208] [280/732] learning_rate: 0.038974 loss_vfl: 0.934908 loss_bbox: 0.452790 loss_dfl: 0.414894 loss: 1.807822 eta: 19:41:05 batch_cost: 0.6242 data_cost: 0.0009 ips: 64.0822 images/s
[07/28 18:02:03] ppdet.engine INFO: Epoch: [208] [300/732] learning_rate: 0.038954 loss_vfl: 0.940333 loss_bbox: 0.457076 loss_dfl: 0.417063 loss: 1.820096 eta: 19:40:40 batch_cost: 0.6632 data_cost: 0.0003 ips: 60.3154 images/s
[07/28 18:02:21] ppdet.engine INFO: Epoch: [208] [320/732] learning_rate: 0.038935 loss_vfl: 0.934820 loss_bbox: 0.445427 loss_dfl: 0.417357 loss: 1.781723 eta: 19:40:16 batch_cost: 0.7357 data_cost: 0.0003 ips: 54.3665 images/s
[07/28 18:02:37] ppdet.engine INFO: Epoch: [208] [340/732] learning_rate: 0.038915 loss_vfl: 0.990841 loss_bbox: 0.480754 loss_dfl: 0.440155 loss: 1.925533 eta: 19:39:52 batch_cost: 0.6767 data_cost: 0.0010 ips: 59.1102 images/s
[07/28 18:02:53] ppdet.engine INFO: Epoch: [208] [360/732] learning_rate: 0.038896 loss_vfl: 0.925869 loss_bbox: 0.456535 loss_dfl: 0.409696 loss: 1.787151 eta: 19:39:27 batch_cost: 0.6636 data_cost: 0.0042 ips: 60.2748 images/s
[07/28 18:03:10] ppdet.engine INFO: Epoch: [208] [380/732] learning_rate: 0.038876 loss_vfl: 0.928551 loss_bbox: 0.453355 loss_dfl: 0.411877 loss: 1.769388 eta: 19:39:03 batch_cost: 0.6625 data_cost: 0.0011 ips: 60.3803 images/s
[07/28 18:03:26] ppdet.engine INFO: Epoch: [208] [400/732] learning_rate: 0.038857 loss_vfl: 0.927489 loss_bbox: 0.446186 loss_dfl: 0.411908 loss: 1.786889 eta: 19:38:38 batch_cost: 0.6598 data_cost: 0.0003 ips: 60.6270 images/s
[07/28 18:03:42] ppdet.engine INFO: Epoch: [208] [420/732] learning_rate: 0.038838 loss_vfl: 0.962036 loss_bbox: 0.451837 loss_dfl: 0.423171 loss: 1.829359 eta: 19:38:14 batch_cost: 0.6690 data_cost: 0.0049 ips: 59.7892 images/s
[07/28 18:03:59] ppdet.engine INFO: Epoch: [208] [440/732] learning_rate: 0.038818 loss_vfl: 0.973583 loss_bbox: 0.471652 loss_dfl: 0.429502 loss: 1.876240 eta: 19:37:49 batch_cost: 0.6907 data_cost: 0.0026 ips: 57.9097 images/s
[07/28 18:04:15] ppdet.engine INFO: Epoch: [208] [460/732] learning_rate: 0.038799 loss_vfl: 1.023910 loss_bbox: 0.483548 loss_dfl: 0.453003 loss: 1.976585 eta: 19:37:25 batch_cost: 0.6660 data_cost: 0.0007 ips: 60.0578 images/s
[07/28 18:04:32] ppdet.engine INFO: Epoch: [208] [480/732] learning_rate: 0.038779 loss_vfl: 0.923536 loss_bbox: 0.468029 loss_dfl: 0.414195 loss: 1.801676 eta: 19:37:01 batch_cost: 0.7057 data_cost: 0.0013 ips: 56.6790 images/s
[07/28 18:04:48] ppdet.engine INFO: Epoch: [208] [500/732] learning_rate: 0.038760 loss_vfl: 0.885085 loss_bbox: 0.425135 loss_dfl: 0.389892 loss: 1.695337 eta: 19:36:36 batch_cost: 0.6453 data_cost: 0.0010 ips: 61.9867 images/s
[07/28 18:05:03] ppdet.engine INFO: Epoch: [208] [520/732] learning_rate: 0.038740 loss_vfl: 0.957808 loss_bbox: 0.451964 loss_dfl: 0.420220 loss: 1.820233 eta: 19:36:11 batch_cost: 0.6347 data_cost: 0.0012 ips: 63.0186 images/s
[07/28 18:05:19] ppdet.engine INFO: Epoch: [208] [540/732] learning_rate: 0.038721 loss_vfl: 0.953778 loss_bbox: 0.456604 loss_dfl: 0.412241 loss: 1.832658 eta: 19:35:46 batch_cost: 0.6514 data_cost: 0.0030 ips: 61.4065 images/s
[07/28 18:05:37] ppdet.engine INFO: Epoch: [208] [560/732] learning_rate: 0.038702 loss_vfl: 0.922984 loss_bbox: 0.436208 loss_dfl: 0.405736 loss: 1.759967 eta: 19:35:23 batch_cost: 0.7714 data_cost: 0.0032 ips: 51.8513 images/s
[07/28 18:05:53] ppdet.engine INFO: Epoch: [208] [580/732] learning_rate: 0.038682 loss_vfl: 0.900172 loss_bbox: 0.437882 loss_dfl: 0.400723 loss: 1.760163 eta: 19:34:59 batch_cost: 0.6992 data_cost: 0.0018 ips: 57.2058 images/s
[07/28 18:06:10] ppdet.engine INFO: Epoch: [208] [600/732] learning_rate: 0.038663 loss_vfl: 0.958036 loss_bbox: 0.458337 loss_dfl: 0.425666 loss: 1.829128 eta: 19:34:34 batch_cost: 0.7044 data_cost: 0.0043 ips: 56.7878 images/s
[07/28 18:06:26] ppdet.engine INFO: Epoch: [208] [620/732] learning_rate: 0.038644 loss_vfl: 0.963616 loss_bbox: 0.461132 loss_dfl: 0.435178 loss: 1.880661 eta: 19:34:10 batch_cost: 0.6624 data_cost: 0.0014 ips: 60.3884 images/s
[07/28 18:06:42] ppdet.engine INFO: Epoch: [208] [640/732] learning_rate: 0.038624 loss_vfl: 0.922247 loss_bbox: 0.426884 loss_dfl: 0.404830 loss: 1.757643 eta: 19:33:45 batch_cost: 0.6403 data_cost: 0.0007 ips: 62.4709 images/s
[07/28 18:06:58] ppdet.engine INFO: Epoch: [208] [660/732] learning_rate: 0.038605 loss_vfl: 0.904713 loss_bbox: 0.441072 loss_dfl: 0.401965 loss: 1.738410 eta: 19:33:21 batch_cost: 0.6876 data_cost: 0.0026 ips: 58.1728 images/s
[07/28 18:07:15] ppdet.engine INFO: Epoch: [208] [680/732] learning_rate: 0.038586 loss_vfl: 0.905162 loss_bbox: 0.462771 loss_dfl: 0.411328 loss: 1.781732 eta: 19:32:57 batch_cost: 0.7342 data_cost: 0.0017 ips: 54.4844 images/s
[07/28 18:07:32] ppdet.engine INFO: Epoch: [208] [700/732] learning_rate: 0.038566 loss_vfl: 0.936302 loss_bbox: 0.454704 loss_dfl: 0.418755 loss: 1.806056 eta: 19:32:33 batch_cost: 0.7064 data_cost: 0.0003 ips: 56.6275 images/s
[07/28 18:07:48] ppdet.engine INFO: Epoch: [208] [720/732] learning_rate: 0.038547 loss_vfl: 0.979649 loss_bbox: 0.461531 loss_dfl: 0.417914 loss: 1.866602 eta: 19:32:08 batch_cost: 0.6491 data_cost: 0.0076 ips: 61.6217 images/s
[07/28 18:08:02] ppdet.engine INFO: Epoch: [209] [  0/732] learning_rate: 0.038535 loss_vfl: 0.973219 loss_bbox: 0.464163 loss_dfl: 0.425703 loss: 1.876486 eta: 19:31:54 batch_cost: 0.7744 data_cost: 0.1741 ips: 51.6537 images/s
[07/28 18:08:21] ppdet.engine INFO: Epoch: [209] [ 20/732] learning_rate: 0.038516 loss_vfl: 0.922581 loss_bbox: 0.435764 loss_dfl: 0.401444 loss: 1.762253 eta: 19:31:31 batch_cost: 0.8241 data_cost: 0.0025 ips: 48.5393 images/s
[07/28 18:08:40] ppdet.engine INFO: Epoch: [209] [ 40/732] learning_rate: 0.038497 loss_vfl: 0.906345 loss_bbox: 0.440645 loss_dfl: 0.404398 loss: 1.744915 eta: 19:31:08 batch_cost: 0.7676 data_cost: 0.0048 ips: 52.1098 images/s
[07/28 18:08:56] ppdet.engine INFO: Epoch: [209] [ 60/732] learning_rate: 0.038477 loss_vfl: 0.913354 loss_bbox: 0.450445 loss_dfl: 0.414115 loss: 1.797378 eta: 19:30:43 batch_cost: 0.6345 data_cost: 0.0030 ips: 63.0428 images/s
[07/28 18:09:15] ppdet.engine INFO: Epoch: [209] [ 80/732] learning_rate: 0.038458 loss_vfl: 0.941933 loss_bbox: 0.448602 loss_dfl: 0.416855 loss: 1.812360 eta: 19:30:19 batch_cost: 0.7639 data_cost: 0.0004 ips: 52.3609 images/s
[07/28 18:09:31] ppdet.engine INFO: Epoch: [209] [100/732] learning_rate: 0.038439 loss_vfl: 0.914767 loss_bbox: 0.433561 loss_dfl: 0.406292 loss: 1.751074 eta: 19:29:55 batch_cost: 0.6733 data_cost: 0.0004 ips: 59.4091 images/s
[07/28 18:09:47] ppdet.engine INFO: Epoch: [209] [120/732] learning_rate: 0.038419 loss_vfl: 0.964993 loss_bbox: 0.466004 loss_dfl: 0.432767 loss: 1.859750 eta: 19:29:31 batch_cost: 0.6935 data_cost: 0.0019 ips: 57.6752 images/s
[07/28 18:10:03] ppdet.engine INFO: Epoch: [209] [140/732] learning_rate: 0.038400 loss_vfl: 0.881672 loss_bbox: 0.418243 loss_dfl: 0.396527 loss: 1.714422 eta: 19:29:06 batch_cost: 0.6703 data_cost: 0.0017 ips: 59.6779 images/s
[07/28 18:10:19] ppdet.engine INFO: Epoch: [209] [160/732] learning_rate: 0.038381 loss_vfl: 0.965361 loss_bbox: 0.487075 loss_dfl: 0.440963 loss: 1.899056 eta: 19:28:41 batch_cost: 0.6376 data_cost: 0.0010 ips: 62.7401 images/s
[07/28 18:10:36] ppdet.engine INFO: Epoch: [209] [180/732] learning_rate: 0.038362 loss_vfl: 1.012716 loss_bbox: 0.506228 loss_dfl: 0.444824 loss: 1.988679 eta: 19:28:17 batch_cost: 0.7373 data_cost: 0.0010 ips: 54.2541 images/s
[07/28 18:10:52] ppdet.engine INFO: Epoch: [209] [200/732] learning_rate: 0.038342 loss_vfl: 0.947655 loss_bbox: 0.451117 loss_dfl: 0.419619 loss: 1.815827 eta: 19:27:53 batch_cost: 0.6932 data_cost: 0.0022 ips: 57.7065 images/s
[07/28 18:11:11] ppdet.engine INFO: Epoch: [209] [220/732] learning_rate: 0.038323 loss_vfl: 0.911260 loss_bbox: 0.424619 loss_dfl: 0.404783 loss: 1.742239 eta: 19:27:30 batch_cost: 0.7841 data_cost: 0.0014 ips: 51.0168 images/s
[07/28 18:11:28] ppdet.engine INFO: Epoch: [209] [240/732] learning_rate: 0.038304 loss_vfl: 0.939494 loss_bbox: 0.447750 loss_dfl: 0.410530 loss: 1.783573 eta: 19:27:06 batch_cost: 0.7393 data_cost: 0.0019 ips: 54.1037 images/s
[07/28 18:11:47] ppdet.engine INFO: Epoch: [209] [260/732] learning_rate: 0.038285 loss_vfl: 0.935971 loss_bbox: 0.451250 loss_dfl: 0.415264 loss: 1.796802 eta: 19:26:43 batch_cost: 0.7896 data_cost: 0.0052 ips: 50.6563 images/s
[07/28 18:12:04] ppdet.engine INFO: Epoch: [209] [280/732] learning_rate: 0.038266 loss_vfl: 1.025053 loss_bbox: 0.471769 loss_dfl: 0.446869 loss: 1.927625 eta: 19:26:19 batch_cost: 0.7375 data_cost: 0.0006 ips: 54.2352 images/s
[07/28 18:12:21] ppdet.engine INFO: Epoch: [209] [300/732] learning_rate: 0.038246 loss_vfl: 0.929043 loss_bbox: 0.448551 loss_dfl: 0.400196 loss: 1.768625 eta: 19:25:54 batch_cost: 0.6967 data_cost: 0.0003 ips: 57.4109 images/s
[07/28 18:12:37] ppdet.engine INFO: Epoch: [209] [320/732] learning_rate: 0.038227 loss_vfl: 0.908148 loss_bbox: 0.449243 loss_dfl: 0.395616 loss: 1.748399 eta: 19:25:30 batch_cost: 0.6812 data_cost: 0.0017 ips: 58.7177 images/s
[07/28 18:12:54] ppdet.engine INFO: Epoch: [209] [340/732] learning_rate: 0.038208 loss_vfl: 0.953584 loss_bbox: 0.443211 loss_dfl: 0.418295 loss: 1.803006 eta: 19:25:06 batch_cost: 0.7044 data_cost: 0.0021 ips: 56.7897 images/s
[07/28 18:13:11] ppdet.engine INFO: Epoch: [209] [360/732] learning_rate: 0.038189 loss_vfl: 0.950859 loss_bbox: 0.436276 loss_dfl: 0.415531 loss: 1.808168 eta: 19:24:42 batch_cost: 0.7112 data_cost: 0.0004 ips: 56.2423 images/s
[07/28 18:13:28] ppdet.engine INFO: Epoch: [209] [380/732] learning_rate: 0.038169 loss_vfl: 0.900025 loss_bbox: 0.421767 loss_dfl: 0.393049 loss: 1.721568 eta: 19:24:18 batch_cost: 0.7079 data_cost: 0.0010 ips: 56.5086 images/s
[07/28 18:13:45] ppdet.engine INFO: Epoch: [209] [400/732] learning_rate: 0.038150 loss_vfl: 0.952826 loss_bbox: 0.457596 loss_dfl: 0.421801 loss: 1.823528 eta: 19:23:54 batch_cost: 0.6907 data_cost: 0.0026 ips: 57.9088 images/s
[07/28 18:14:00] ppdet.engine INFO: Epoch: [209] [420/732] learning_rate: 0.038131 loss_vfl: 0.905282 loss_bbox: 0.445974 loss_dfl: 0.407463 loss: 1.749048 eta: 19:23:29 batch_cost: 0.6277 data_cost: 0.0033 ips: 63.7219 images/s
[07/28 18:14:16] ppdet.engine INFO: Epoch: [209] [440/732] learning_rate: 0.038112 loss_vfl: 0.920822 loss_bbox: 0.449363 loss_dfl: 0.413657 loss: 1.780758 eta: 19:23:04 batch_cost: 0.6553 data_cost: 0.0018 ips: 61.0376 images/s
[07/28 18:14:33] ppdet.engine INFO: Epoch: [209] [460/732] learning_rate: 0.038093 loss_vfl: 0.991309 loss_bbox: 0.490454 loss_dfl: 0.434872 loss: 1.923367 eta: 19:22:40 batch_cost: 0.7008 data_cost: 0.0019 ips: 57.0777 images/s
[07/28 18:14:49] ppdet.engine INFO: Epoch: [209] [480/732] learning_rate: 0.038074 loss_vfl: 0.962300 loss_bbox: 0.472713 loss_dfl: 0.439804 loss: 1.865409 eta: 19:22:16 batch_cost: 0.6786 data_cost: 0.0003 ips: 58.9487 images/s
[07/28 18:15:07] ppdet.engine INFO: Epoch: [209] [500/732] learning_rate: 0.038055 loss_vfl: 0.935154 loss_bbox: 0.444005 loss_dfl: 0.409244 loss: 1.777301 eta: 19:21:52 batch_cost: 0.7380 data_cost: 0.0021 ips: 54.1982 images/s
[07/28 18:15:22] ppdet.engine INFO: Epoch: [209] [520/732] learning_rate: 0.038035 loss_vfl: 0.950095 loss_bbox: 0.469950 loss_dfl: 0.416829 loss: 1.810318 eta: 19:21:27 batch_cost: 0.6503 data_cost: 0.0035 ips: 61.5128 images/s
[07/28 18:15:39] ppdet.engine INFO: Epoch: [209] [540/732] learning_rate: 0.038016 loss_vfl: 0.992760 loss_bbox: 0.477104 loss_dfl: 0.425206 loss: 1.890089 eta: 19:21:03 batch_cost: 0.6847 data_cost: 0.0016 ips: 58.4175 images/s
[07/28 18:15:56] ppdet.engine INFO: Epoch: [209] [560/732] learning_rate: 0.037997 loss_vfl: 0.929425 loss_bbox: 0.452769 loss_dfl: 0.406967 loss: 1.788458 eta: 19:20:39 batch_cost: 0.7002 data_cost: 0.0003 ips: 57.1273 images/s
[07/28 18:16:12] ppdet.engine INFO: Epoch: [209] [580/732] learning_rate: 0.037978 loss_vfl: 0.946646 loss_bbox: 0.463322 loss_dfl: 0.420964 loss: 1.817335 eta: 19:20:15 batch_cost: 0.6821 data_cost: 0.0034 ips: 58.6413 images/s
[07/28 18:16:29] ppdet.engine INFO: Epoch: [209] [600/732] learning_rate: 0.037959 loss_vfl: 0.958363 loss_bbox: 0.469270 loss_dfl: 0.428388 loss: 1.869216 eta: 19:19:51 batch_cost: 0.7375 data_cost: 0.0004 ips: 54.2387 images/s
[07/28 18:16:45] ppdet.engine INFO: Epoch: [209] [620/732] learning_rate: 0.037940 loss_vfl: 0.952656 loss_bbox: 0.466791 loss_dfl: 0.430928 loss: 1.841503 eta: 19:19:27 batch_cost: 0.6838 data_cost: 0.0041 ips: 58.4954 images/s
[07/28 18:17:01] ppdet.engine INFO: Epoch: [209] [640/732] learning_rate: 0.037921 loss_vfl: 0.924690 loss_bbox: 0.433867 loss_dfl: 0.400732 loss: 1.751153 eta: 19:19:02 batch_cost: 0.6897 data_cost: 0.0024 ips: 57.9957 images/s
[07/28 18:17:17] ppdet.engine INFO: Epoch: [209] [660/732] learning_rate: 0.037902 loss_vfl: 0.931003 loss_bbox: 0.459327 loss_dfl: 0.419951 loss: 1.814634 eta: 19:18:38 batch_cost: 0.6607 data_cost: 0.0008 ips: 60.5408 images/s
[07/28 18:17:34] ppdet.engine INFO: Epoch: [209] [680/732] learning_rate: 0.037883 loss_vfl: 0.903509 loss_bbox: 0.429965 loss_dfl: 0.406062 loss: 1.752725 eta: 19:18:14 batch_cost: 0.6836 data_cost: 0.0026 ips: 58.5102 images/s
[07/28 18:17:51] ppdet.engine INFO: Epoch: [209] [700/732] learning_rate: 0.037863 loss_vfl: 0.873948 loss_bbox: 0.416024 loss_dfl: 0.381814 loss: 1.691519 eta: 19:17:50 batch_cost: 0.7186 data_cost: 0.0021 ips: 55.6636 images/s
[07/28 18:18:07] ppdet.engine INFO: Epoch: [209] [720/732] learning_rate: 0.037844 loss_vfl: 0.910769 loss_bbox: 0.444022 loss_dfl: 0.402273 loss: 1.755750 eta: 19:17:26 batch_cost: 0.6829 data_cost: 0.0018 ips: 58.5764 images/s
[07/28 18:18:16] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 18:18:16] ppdet.engine INFO: Eval iter: 0
[07/28 18:18:33] ppdet.engine INFO: Eval iter: 100
[07/28 18:18:43] ppdet.engine INFO: Eval iter: 200
[07/28 18:18:52] ppdet.engine INFO: Eval iter: 300
[07/28 18:19:02] ppdet.engine INFO: Eval iter: 400
[07/28 18:19:12] ppdet.engine INFO: Eval iter: 500
[07/28 18:19:22] ppdet.engine INFO: Eval iter: 600
[07/28 18:19:38] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.67s)
creating index...
index created!
[07/28 18:19:39] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.24s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=103.06s).
Accumulating evaluation results...
DONE (t=19.29s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.295
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.434
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.313
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.116
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.314
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.456
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.273
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.446
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.475
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.214
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.533
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.706
[07/28 18:21:49] ppdet.engine INFO: Total sample number: 4952, averge FPS: 72.18544751870725
[07/28 18:21:49] ppdet.engine INFO: Best test bbox ap is 0.295.
[07/28 18:21:49] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 18:21:50] ppdet.engine INFO: Epoch: [210] [  0/732] learning_rate: 0.037833 loss_vfl: 0.933876 loss_bbox: 0.450658 loss_dfl: 0.414190 loss: 1.817853 eta: 19:17:10 batch_cost: 0.5562 data_cost: 0.0004 ips: 71.9216 images/s
[07/28 18:22:07] ppdet.engine INFO: Epoch: [210] [ 20/732] learning_rate: 0.037814 loss_vfl: 0.945733 loss_bbox: 0.458815 loss_dfl: 0.419832 loss: 1.841402 eta: 19:16:46 batch_cost: 0.7278 data_cost: 0.0004 ips: 54.9611 images/s
[07/28 18:22:24] ppdet.engine INFO: Epoch: [210] [ 40/732] learning_rate: 0.037795 loss_vfl: 0.903951 loss_bbox: 0.445450 loss_dfl: 0.401635 loss: 1.749834 eta: 19:16:22 batch_cost: 0.7106 data_cost: 0.0070 ips: 56.2866 images/s
[07/28 18:22:42] ppdet.engine INFO: Epoch: [210] [ 60/732] learning_rate: 0.037776 loss_vfl: 0.893193 loss_bbox: 0.446265 loss_dfl: 0.402074 loss: 1.741419 eta: 19:15:58 batch_cost: 0.7732 data_cost: 0.0029 ips: 51.7317 images/s
[07/28 18:22:59] ppdet.engine INFO: Epoch: [210] [ 80/732] learning_rate: 0.037757 loss_vfl: 1.004047 loss_bbox: 0.485193 loss_dfl: 0.444608 loss: 1.931700 eta: 19:15:34 batch_cost: 0.7106 data_cost: 0.0016 ips: 56.2939 images/s
[07/28 18:23:17] ppdet.engine INFO: Epoch: [210] [100/732] learning_rate: 0.037738 loss_vfl: 0.894586 loss_bbox: 0.450540 loss_dfl: 0.398453 loss: 1.745492 eta: 19:15:11 batch_cost: 0.7710 data_cost: 0.0003 ips: 51.8789 images/s
[07/28 18:23:33] ppdet.engine INFO: Epoch: [210] [120/732] learning_rate: 0.037719 loss_vfl: 0.877277 loss_bbox: 0.404136 loss_dfl: 0.379860 loss: 1.661768 eta: 19:14:46 batch_cost: 0.6500 data_cost: 0.0048 ips: 61.5373 images/s
[07/28 18:23:51] ppdet.engine INFO: Epoch: [210] [140/732] learning_rate: 0.037700 loss_vfl: 0.981639 loss_bbox: 0.477864 loss_dfl: 0.427116 loss: 1.852053 eta: 19:14:23 batch_cost: 0.7222 data_cost: 0.0010 ips: 55.3851 images/s
[07/28 18:24:07] ppdet.engine INFO: Epoch: [210] [160/732] learning_rate: 0.037681 loss_vfl: 0.954182 loss_bbox: 0.472098 loss_dfl: 0.439778 loss: 1.873219 eta: 19:13:58 batch_cost: 0.6847 data_cost: 0.0024 ips: 58.4177 images/s
[07/28 18:24:25] ppdet.engine INFO: Epoch: [210] [180/732] learning_rate: 0.037662 loss_vfl: 0.874988 loss_bbox: 0.431583 loss_dfl: 0.392821 loss: 1.686131 eta: 19:13:35 batch_cost: 0.7304 data_cost: 0.0010 ips: 54.7678 images/s
[07/28 18:24:41] ppdet.engine INFO: Epoch: [210] [200/732] learning_rate: 0.037643 loss_vfl: 0.941866 loss_bbox: 0.453384 loss_dfl: 0.432480 loss: 1.822539 eta: 19:13:10 batch_cost: 0.6727 data_cost: 0.0023 ips: 59.4657 images/s
[07/28 18:24:58] ppdet.engine INFO: Epoch: [210] [220/732] learning_rate: 0.037624 loss_vfl: 0.959563 loss_bbox: 0.491350 loss_dfl: 0.441146 loss: 1.893888 eta: 19:12:46 batch_cost: 0.7141 data_cost: 0.0022 ips: 56.0177 images/s
[07/28 18:25:15] ppdet.engine INFO: Epoch: [210] [240/732] learning_rate: 0.037605 loss_vfl: 0.900261 loss_bbox: 0.435644 loss_dfl: 0.404144 loss: 1.706003 eta: 19:12:22 batch_cost: 0.7122 data_cost: 0.0011 ips: 56.1606 images/s
[07/28 18:25:32] ppdet.engine INFO: Epoch: [210] [260/732] learning_rate: 0.037586 loss_vfl: 0.908346 loss_bbox: 0.422107 loss_dfl: 0.397088 loss: 1.697101 eta: 19:11:58 batch_cost: 0.7199 data_cost: 0.0010 ips: 55.5597 images/s
[07/28 18:25:48] ppdet.engine INFO: Epoch: [210] [280/732] learning_rate: 0.037567 loss_vfl: 0.937000 loss_bbox: 0.441952 loss_dfl: 0.405092 loss: 1.784273 eta: 19:11:34 batch_cost: 0.6990 data_cost: 0.0035 ips: 57.2211 images/s
[07/28 18:26:05] ppdet.engine INFO: Epoch: [210] [300/732] learning_rate: 0.037548 loss_vfl: 0.935142 loss_bbox: 0.455243 loss_dfl: 0.409852 loss: 1.773347 eta: 19:11:10 batch_cost: 0.6699 data_cost: 0.0028 ips: 59.7119 images/s
[07/28 18:26:21] ppdet.engine INFO: Epoch: [210] [320/732] learning_rate: 0.037529 loss_vfl: 0.933805 loss_bbox: 0.446160 loss_dfl: 0.413733 loss: 1.803863 eta: 19:10:46 batch_cost: 0.6648 data_cost: 0.0025 ips: 60.1696 images/s
[07/28 18:26:37] ppdet.engine INFO: Epoch: [210] [340/732] learning_rate: 0.037510 loss_vfl: 0.849941 loss_bbox: 0.419369 loss_dfl: 0.375430 loss: 1.611914 eta: 19:10:21 batch_cost: 0.6802 data_cost: 0.0025 ips: 58.8083 images/s
[07/28 18:26:54] ppdet.engine INFO: Epoch: [210] [360/732] learning_rate: 0.037491 loss_vfl: 0.928938 loss_bbox: 0.450738 loss_dfl: 0.408417 loss: 1.781816 eta: 19:09:57 batch_cost: 0.6855 data_cost: 0.0009 ips: 58.3503 images/s
[07/28 18:27:11] ppdet.engine INFO: Epoch: [210] [380/732] learning_rate: 0.037472 loss_vfl: 0.953220 loss_bbox: 0.460490 loss_dfl: 0.417039 loss: 1.818116 eta: 19:09:33 batch_cost: 0.7103 data_cost: 0.0019 ips: 56.3141 images/s
[07/28 18:27:27] ppdet.engine INFO: Epoch: [210] [400/732] learning_rate: 0.037453 loss_vfl: 0.909870 loss_bbox: 0.457003 loss_dfl: 0.418073 loss: 1.795235 eta: 19:09:09 batch_cost: 0.7234 data_cost: 0.0010 ips: 55.2949 images/s
[07/28 18:27:43] ppdet.engine INFO: Epoch: [210] [420/732] learning_rate: 0.037434 loss_vfl: 0.950954 loss_bbox: 0.456554 loss_dfl: 0.420993 loss: 1.830302 eta: 19:08:45 batch_cost: 0.6690 data_cost: 0.0014 ips: 59.7872 images/s
[07/28 18:28:01] ppdet.engine INFO: Epoch: [210] [440/732] learning_rate: 0.037415 loss_vfl: 0.915133 loss_bbox: 0.438149 loss_dfl: 0.411964 loss: 1.778536 eta: 19:08:21 batch_cost: 0.7422 data_cost: 0.0006 ips: 53.8928 images/s
[07/28 18:28:18] ppdet.engine INFO: Epoch: [210] [460/732] learning_rate: 0.037397 loss_vfl: 0.950720 loss_bbox: 0.454460 loss_dfl: 0.418057 loss: 1.818286 eta: 19:07:58 batch_cost: 0.7442 data_cost: 0.0003 ips: 53.7459 images/s
[07/28 18:28:34] ppdet.engine INFO: Epoch: [210] [480/732] learning_rate: 0.037378 loss_vfl: 0.892328 loss_bbox: 0.428432 loss_dfl: 0.402480 loss: 1.728324 eta: 19:07:34 batch_cost: 0.7016 data_cost: 0.0004 ips: 57.0122 images/s
[07/28 18:28:51] ppdet.engine INFO: Epoch: [210] [500/732] learning_rate: 0.037359 loss_vfl: 1.000387 loss_bbox: 0.476510 loss_dfl: 0.429254 loss: 1.934278 eta: 19:07:09 batch_cost: 0.6952 data_cost: 0.0018 ips: 57.5382 images/s
[07/28 18:29:08] ppdet.engine INFO: Epoch: [210] [520/732] learning_rate: 0.037340 loss_vfl: 0.894117 loss_bbox: 0.434655 loss_dfl: 0.397351 loss: 1.738016 eta: 19:06:46 batch_cost: 0.7101 data_cost: 0.0003 ips: 56.3275 images/s
[07/28 18:29:24] ppdet.engine INFO: Epoch: [210] [540/732] learning_rate: 0.037321 loss_vfl: 0.900244 loss_bbox: 0.452326 loss_dfl: 0.409454 loss: 1.778579 eta: 19:06:21 batch_cost: 0.6726 data_cost: 0.0021 ips: 59.4685 images/s
[07/28 18:29:40] ppdet.engine INFO: Epoch: [210] [560/732] learning_rate: 0.037302 loss_vfl: 0.935282 loss_bbox: 0.444073 loss_dfl: 0.413561 loss: 1.787378 eta: 19:05:57 batch_cost: 0.6704 data_cost: 0.0007 ips: 59.6656 images/s
[07/28 18:29:58] ppdet.engine INFO: Epoch: [210] [580/732] learning_rate: 0.037283 loss_vfl: 0.921689 loss_bbox: 0.441625 loss_dfl: 0.419784 loss: 1.767716 eta: 19:05:33 batch_cost: 0.7288 data_cost: 0.0013 ips: 54.8871 images/s
[07/28 18:30:14] ppdet.engine INFO: Epoch: [210] [600/732] learning_rate: 0.037264 loss_vfl: 0.952885 loss_bbox: 0.447992 loss_dfl: 0.410883 loss: 1.779573 eta: 19:05:09 batch_cost: 0.6834 data_cost: 0.0027 ips: 58.5319 images/s
[07/28 18:30:31] ppdet.engine INFO: Epoch: [210] [620/732] learning_rate: 0.037246 loss_vfl: 0.906146 loss_bbox: 0.412260 loss_dfl: 0.390330 loss: 1.702949 eta: 19:04:45 batch_cost: 0.7157 data_cost: 0.0024 ips: 55.8889 images/s
[07/28 18:30:48] ppdet.engine INFO: Epoch: [210] [640/732] learning_rate: 0.037227 loss_vfl: 0.945261 loss_bbox: 0.446643 loss_dfl: 0.419938 loss: 1.815760 eta: 19:04:21 batch_cost: 0.6979 data_cost: 0.0003 ips: 57.3144 images/s
[07/28 18:31:04] ppdet.engine INFO: Epoch: [210] [660/732] learning_rate: 0.037208 loss_vfl: 0.875271 loss_bbox: 0.427771 loss_dfl: 0.396275 loss: 1.706904 eta: 19:03:57 batch_cost: 0.6446 data_cost: 0.0003 ips: 62.0502 images/s
[07/28 18:31:20] ppdet.engine INFO: Epoch: [210] [680/732] learning_rate: 0.037189 loss_vfl: 0.896804 loss_bbox: 0.434136 loss_dfl: 0.404500 loss: 1.744940 eta: 19:03:33 batch_cost: 0.7118 data_cost: 0.0021 ips: 56.1928 images/s
[07/28 18:31:37] ppdet.engine INFO: Epoch: [210] [700/732] learning_rate: 0.037170 loss_vfl: 0.960755 loss_bbox: 0.453145 loss_dfl: 0.425516 loss: 1.854877 eta: 19:03:09 batch_cost: 0.7185 data_cost: 0.0009 ips: 55.6749 images/s
[07/28 18:31:55] ppdet.engine INFO: Epoch: [210] [720/732] learning_rate: 0.037152 loss_vfl: 0.951698 loss_bbox: 0.445203 loss_dfl: 0.416859 loss: 1.819908 eta: 19:02:45 batch_cost: 0.7479 data_cost: 0.0018 ips: 53.4807 images/s
[07/28 18:32:11] ppdet.engine INFO: Epoch: [211] [  0/732] learning_rate: 0.037140 loss_vfl: 0.947602 loss_bbox: 0.452352 loss_dfl: 0.410464 loss: 1.817549 eta: 19:02:33 batch_cost: 0.9463 data_cost: 0.1248 ips: 42.2713 images/s
[07/28 18:32:29] ppdet.engine INFO: Epoch: [211] [ 20/732] learning_rate: 0.037121 loss_vfl: 0.930144 loss_bbox: 0.446523 loss_dfl: 0.416270 loss: 1.788900 eta: 19:02:10 batch_cost: 0.7950 data_cost: 0.0003 ips: 50.3167 images/s
[07/28 18:32:46] ppdet.engine INFO: Epoch: [211] [ 40/732] learning_rate: 0.037103 loss_vfl: 0.887555 loss_bbox: 0.429239 loss_dfl: 0.412197 loss: 1.734517 eta: 19:01:45 batch_cost: 0.6621 data_cost: 0.0029 ips: 60.4161 images/s
[07/28 18:33:05] ppdet.engine INFO: Epoch: [211] [ 60/732] learning_rate: 0.037084 loss_vfl: 0.902182 loss_bbox: 0.444887 loss_dfl: 0.407791 loss: 1.759938 eta: 19:01:22 batch_cost: 0.8413 data_cost: 0.0012 ips: 47.5438 images/s
[07/28 18:33:22] ppdet.engine INFO: Epoch: [211] [ 80/732] learning_rate: 0.037065 loss_vfl: 0.943502 loss_bbox: 0.435923 loss_dfl: 0.410500 loss: 1.801899 eta: 19:00:58 batch_cost: 0.7123 data_cost: 0.0029 ips: 56.1575 images/s
[07/28 18:33:40] ppdet.engine INFO: Epoch: [211] [100/732] learning_rate: 0.037046 loss_vfl: 0.956807 loss_bbox: 0.478294 loss_dfl: 0.434934 loss: 1.850899 eta: 19:00:35 batch_cost: 0.7528 data_cost: 0.0025 ips: 53.1376 images/s
[07/28 18:33:58] ppdet.engine INFO: Epoch: [211] [120/732] learning_rate: 0.037028 loss_vfl: 0.940242 loss_bbox: 0.451062 loss_dfl: 0.405909 loss: 1.785375 eta: 19:00:11 batch_cost: 0.7500 data_cost: 0.0012 ips: 53.3331 images/s
[07/28 18:34:15] ppdet.engine INFO: Epoch: [211] [140/732] learning_rate: 0.037009 loss_vfl: 0.978604 loss_bbox: 0.463739 loss_dfl: 0.423336 loss: 1.846701 eta: 18:59:48 batch_cost: 0.7374 data_cost: 0.0010 ips: 54.2449 images/s
[07/28 18:34:33] ppdet.engine INFO: Epoch: [211] [160/732] learning_rate: 0.036990 loss_vfl: 0.862707 loss_bbox: 0.422862 loss_dfl: 0.382787 loss: 1.653405 eta: 18:59:24 batch_cost: 0.7372 data_cost: 0.0006 ips: 54.2587 images/s
[07/28 18:34:50] ppdet.engine INFO: Epoch: [211] [180/732] learning_rate: 0.036971 loss_vfl: 0.977373 loss_bbox: 0.469102 loss_dfl: 0.431032 loss: 1.871873 eta: 18:59:00 batch_cost: 0.7209 data_cost: 0.0008 ips: 55.4856 images/s
[07/28 18:35:08] ppdet.engine INFO: Epoch: [211] [200/732] learning_rate: 0.036953 loss_vfl: 0.916664 loss_bbox: 0.461675 loss_dfl: 0.399180 loss: 1.753565 eta: 18:58:36 batch_cost: 0.7102 data_cost: 0.0007 ips: 56.3231 images/s
[07/28 18:35:25] ppdet.engine INFO: Epoch: [211] [220/732] learning_rate: 0.036934 loss_vfl: 0.859820 loss_bbox: 0.417199 loss_dfl: 0.382737 loss: 1.634334 eta: 18:58:12 batch_cost: 0.7071 data_cost: 0.0030 ips: 56.5670 images/s
[07/28 18:35:42] ppdet.engine INFO: Epoch: [211] [240/732] learning_rate: 0.036915 loss_vfl: 0.940258 loss_bbox: 0.448499 loss_dfl: 0.418732 loss: 1.811927 eta: 18:57:48 batch_cost: 0.6880 data_cost: 0.0024 ips: 58.1401 images/s
[07/28 18:35:59] ppdet.engine INFO: Epoch: [211] [260/732] learning_rate: 0.036897 loss_vfl: 0.887085 loss_bbox: 0.426499 loss_dfl: 0.407438 loss: 1.727415 eta: 18:57:24 batch_cost: 0.6911 data_cost: 0.0015 ips: 57.8819 images/s
[07/28 18:36:15] ppdet.engine INFO: Epoch: [211] [280/732] learning_rate: 0.036878 loss_vfl: 0.915559 loss_bbox: 0.456143 loss_dfl: 0.415293 loss: 1.774716 eta: 18:57:00 batch_cost: 0.6441 data_cost: 0.0013 ips: 62.0991 images/s
[07/28 18:36:31] ppdet.engine INFO: Epoch: [211] [300/732] learning_rate: 0.036859 loss_vfl: 0.950189 loss_bbox: 0.460071 loss_dfl: 0.418693 loss: 1.818420 eta: 18:56:35 batch_cost: 0.6584 data_cost: 0.0022 ips: 60.7522 images/s
[07/28 18:36:48] ppdet.engine INFO: Epoch: [211] [320/732] learning_rate: 0.036841 loss_vfl: 0.888717 loss_bbox: 0.437225 loss_dfl: 0.402031 loss: 1.716921 eta: 18:56:12 batch_cost: 0.7388 data_cost: 0.0024 ips: 54.1442 images/s
[07/28 18:37:05] ppdet.engine INFO: Epoch: [211] [340/732] learning_rate: 0.036822 loss_vfl: 0.858876 loss_bbox: 0.397450 loss_dfl: 0.383225 loss: 1.660661 eta: 18:55:48 batch_cost: 0.6779 data_cost: 0.0031 ips: 59.0045 images/s
[07/28 18:37:22] ppdet.engine INFO: Epoch: [211] [360/732] learning_rate: 0.036803 loss_vfl: 0.955920 loss_bbox: 0.481204 loss_dfl: 0.421317 loss: 1.865260 eta: 18:55:24 batch_cost: 0.7128 data_cost: 0.0080 ips: 56.1152 images/s
[07/28 18:37:37] ppdet.engine INFO: Epoch: [211] [380/732] learning_rate: 0.036785 loss_vfl: 0.937346 loss_bbox: 0.459384 loss_dfl: 0.421430 loss: 1.835995 eta: 18:54:59 batch_cost: 0.6493 data_cost: 0.0019 ips: 61.6017 images/s
[07/28 18:37:55] ppdet.engine INFO: Epoch: [211] [400/732] learning_rate: 0.036766 loss_vfl: 0.911973 loss_bbox: 0.443473 loss_dfl: 0.405771 loss: 1.761580 eta: 18:54:36 batch_cost: 0.7516 data_cost: 0.0052 ips: 53.2188 images/s
[07/28 18:38:12] ppdet.engine INFO: Epoch: [211] [420/732] learning_rate: 0.036747 loss_vfl: 0.975118 loss_bbox: 0.460856 loss_dfl: 0.433727 loss: 1.872003 eta: 18:54:12 batch_cost: 0.7187 data_cost: 0.0010 ips: 55.6535 images/s
[07/28 18:38:30] ppdet.engine INFO: Epoch: [211] [440/732] learning_rate: 0.036729 loss_vfl: 0.940618 loss_bbox: 0.462348 loss_dfl: 0.418566 loss: 1.841982 eta: 18:53:49 batch_cost: 0.7864 data_cost: 0.0031 ips: 50.8666 images/s
[07/28 18:38:47] ppdet.engine INFO: Epoch: [211] [460/732] learning_rate: 0.036710 loss_vfl: 0.916854 loss_bbox: 0.445340 loss_dfl: 0.398879 loss: 1.750283 eta: 18:53:24 batch_cost: 0.6438 data_cost: 0.0019 ips: 62.1323 images/s
[07/28 18:39:04] ppdet.engine INFO: Epoch: [211] [480/732] learning_rate: 0.036691 loss_vfl: 0.909992 loss_bbox: 0.433491 loss_dfl: 0.404968 loss: 1.782760 eta: 18:53:00 batch_cost: 0.6665 data_cost: 0.0020 ips: 60.0165 images/s
[07/28 18:39:20] ppdet.engine INFO: Epoch: [211] [500/732] learning_rate: 0.036673 loss_vfl: 0.942341 loss_bbox: 0.450308 loss_dfl: 0.417604 loss: 1.810869 eta: 18:52:36 batch_cost: 0.6854 data_cost: 0.0026 ips: 58.3580 images/s
[07/28 18:39:37] ppdet.engine INFO: Epoch: [211] [520/732] learning_rate: 0.036654 loss_vfl: 0.906943 loss_bbox: 0.435396 loss_dfl: 0.401501 loss: 1.738295 eta: 18:52:12 batch_cost: 0.7368 data_cost: 0.0004 ips: 54.2870 images/s
[07/28 18:39:55] ppdet.engine INFO: Epoch: [211] [540/732] learning_rate: 0.036636 loss_vfl: 0.905819 loss_bbox: 0.444723 loss_dfl: 0.415511 loss: 1.796271 eta: 18:51:48 batch_cost: 0.7044 data_cost: 0.0031 ips: 56.7891 images/s
[07/28 18:40:12] ppdet.engine INFO: Epoch: [211] [560/732] learning_rate: 0.036617 loss_vfl: 0.926151 loss_bbox: 0.441002 loss_dfl: 0.407447 loss: 1.779468 eta: 18:51:25 batch_cost: 0.7254 data_cost: 0.0020 ips: 55.1392 images/s
[07/28 18:40:28] ppdet.engine INFO: Epoch: [211] [580/732] learning_rate: 0.036598 loss_vfl: 0.968926 loss_bbox: 0.477634 loss_dfl: 0.431369 loss: 1.842002 eta: 18:51:00 batch_cost: 0.6481 data_cost: 0.0041 ips: 61.7213 images/s
[07/28 18:40:44] ppdet.engine INFO: Epoch: [211] [600/732] learning_rate: 0.036580 loss_vfl: 0.946165 loss_bbox: 0.464630 loss_dfl: 0.431429 loss: 1.854025 eta: 18:50:36 batch_cost: 0.6784 data_cost: 0.0010 ips: 58.9653 images/s
[07/28 18:41:01] ppdet.engine INFO: Epoch: [211] [620/732] learning_rate: 0.036561 loss_vfl: 0.915454 loss_bbox: 0.431957 loss_dfl: 0.402402 loss: 1.752621 eta: 18:50:12 batch_cost: 0.6655 data_cost: 0.0003 ips: 60.1013 images/s
[07/28 18:41:17] ppdet.engine INFO: Epoch: [211] [640/732] learning_rate: 0.036543 loss_vfl: 0.931358 loss_bbox: 0.440749 loss_dfl: 0.408127 loss: 1.787380 eta: 18:49:48 batch_cost: 0.6669 data_cost: 0.0004 ips: 59.9780 images/s
[07/28 18:41:35] ppdet.engine INFO: Epoch: [211] [660/732] learning_rate: 0.036524 loss_vfl: 0.896959 loss_bbox: 0.428027 loss_dfl: 0.394490 loss: 1.739653 eta: 18:49:24 batch_cost: 0.7436 data_cost: 0.0019 ips: 53.7943 images/s
[07/28 18:41:51] ppdet.engine INFO: Epoch: [211] [680/732] learning_rate: 0.036506 loss_vfl: 0.950366 loss_bbox: 0.448663 loss_dfl: 0.414362 loss: 1.794571 eta: 18:49:00 batch_cost: 0.6879 data_cost: 0.0015 ips: 58.1490 images/s
[07/28 18:42:07] ppdet.engine INFO: Epoch: [211] [700/732] learning_rate: 0.036487 loss_vfl: 0.936249 loss_bbox: 0.452333 loss_dfl: 0.415547 loss: 1.799589 eta: 18:48:36 batch_cost: 0.6856 data_cost: 0.0008 ips: 58.3397 images/s
[07/28 18:42:24] ppdet.engine INFO: Epoch: [211] [720/732] learning_rate: 0.036468 loss_vfl: 0.854828 loss_bbox: 0.404927 loss_dfl: 0.373937 loss: 1.618156 eta: 18:48:12 batch_cost: 0.6928 data_cost: 0.0004 ips: 57.7380 images/s
[07/28 18:42:39] ppdet.engine INFO: Epoch: [212] [  0/732] learning_rate: 0.036457 loss_vfl: 0.909615 loss_bbox: 0.454870 loss_dfl: 0.409108 loss: 1.767647 eta: 18:47:59 batch_cost: 0.8852 data_cost: 0.1415 ips: 45.1871 images/s
[07/28 18:42:58] ppdet.engine INFO: Epoch: [212] [ 20/732] learning_rate: 0.036439 loss_vfl: 0.944656 loss_bbox: 0.450937 loss_dfl: 0.424664 loss: 1.831372 eta: 18:47:36 batch_cost: 0.7885 data_cost: 0.0009 ips: 50.7262 images/s
[07/28 18:43:15] ppdet.engine INFO: Epoch: [212] [ 40/732] learning_rate: 0.036420 loss_vfl: 0.917966 loss_bbox: 0.452098 loss_dfl: 0.416132 loss: 1.787770 eta: 18:47:12 batch_cost: 0.7216 data_cost: 0.0026 ips: 55.4327 images/s
[07/28 18:43:32] ppdet.engine INFO: Epoch: [212] [ 60/732] learning_rate: 0.036402 loss_vfl: 0.946962 loss_bbox: 0.460392 loss_dfl: 0.420894 loss: 1.835624 eta: 18:46:48 batch_cost: 0.7016 data_cost: 0.0003 ips: 57.0136 images/s
[07/28 18:43:49] ppdet.engine INFO: Epoch: [212] [ 80/732] learning_rate: 0.036383 loss_vfl: 0.972195 loss_bbox: 0.479660 loss_dfl: 0.438609 loss: 1.890934 eta: 18:46:24 batch_cost: 0.7034 data_cost: 0.0003 ips: 56.8674 images/s
[07/28 18:44:07] ppdet.engine INFO: Epoch: [212] [100/732] learning_rate: 0.036365 loss_vfl: 0.925511 loss_bbox: 0.435869 loss_dfl: 0.406479 loss: 1.766762 eta: 18:46:01 batch_cost: 0.7315 data_cost: 0.0009 ips: 54.6789 images/s
[07/28 18:44:23] ppdet.engine INFO: Epoch: [212] [120/732] learning_rate: 0.036346 loss_vfl: 0.953970 loss_bbox: 0.464481 loss_dfl: 0.423292 loss: 1.869138 eta: 18:45:37 batch_cost: 0.6884 data_cost: 0.0021 ips: 58.1096 images/s
[07/28 18:44:41] ppdet.engine INFO: Epoch: [212] [140/732] learning_rate: 0.036328 loss_vfl: 0.948955 loss_bbox: 0.449991 loss_dfl: 0.413018 loss: 1.809973 eta: 18:45:13 batch_cost: 0.7617 data_cost: 0.0014 ips: 52.5121 images/s
[07/28 18:44:58] ppdet.engine INFO: Epoch: [212] [160/732] learning_rate: 0.036309 loss_vfl: 0.914068 loss_bbox: 0.434866 loss_dfl: 0.404366 loss: 1.736108 eta: 18:44:50 batch_cost: 0.7231 data_cost: 0.0038 ips: 55.3175 images/s
[07/28 18:45:16] ppdet.engine INFO: Epoch: [212] [180/732] learning_rate: 0.036291 loss_vfl: 0.971661 loss_bbox: 0.471396 loss_dfl: 0.430328 loss: 1.865996 eta: 18:44:26 batch_cost: 0.7312 data_cost: 0.0003 ips: 54.7030 images/s
[07/28 18:45:32] ppdet.engine INFO: Epoch: [212] [200/732] learning_rate: 0.036272 loss_vfl: 0.941634 loss_bbox: 0.443063 loss_dfl: 0.406540 loss: 1.757538 eta: 18:44:02 batch_cost: 0.6663 data_cost: 0.0027 ips: 60.0304 images/s
[07/28 18:45:49] ppdet.engine INFO: Epoch: [212] [220/732] learning_rate: 0.036254 loss_vfl: 0.940249 loss_bbox: 0.477979 loss_dfl: 0.423411 loss: 1.847676 eta: 18:43:38 batch_cost: 0.7023 data_cost: 0.0021 ips: 56.9552 images/s
[07/28 18:46:05] ppdet.engine INFO: Epoch: [212] [240/732] learning_rate: 0.036236 loss_vfl: 0.953256 loss_bbox: 0.463412 loss_dfl: 0.419946 loss: 1.845689 eta: 18:43:14 batch_cost: 0.6799 data_cost: 0.0048 ips: 58.8356 images/s
[07/28 18:46:22] ppdet.engine INFO: Epoch: [212] [260/732] learning_rate: 0.036217 loss_vfl: 0.966114 loss_bbox: 0.429162 loss_dfl: 0.409878 loss: 1.816076 eta: 18:42:50 batch_cost: 0.7253 data_cost: 0.0029 ips: 55.1500 images/s
[07/28 18:46:39] ppdet.engine INFO: Epoch: [212] [280/732] learning_rate: 0.036199 loss_vfl: 0.959432 loss_bbox: 0.463864 loss_dfl: 0.409873 loss: 1.818128 eta: 18:42:26 batch_cost: 0.6979 data_cost: 0.0005 ips: 57.3110 images/s
[07/28 18:46:56] ppdet.engine INFO: Epoch: [212] [300/732] learning_rate: 0.036180 loss_vfl: 0.904147 loss_bbox: 0.429115 loss_dfl: 0.391907 loss: 1.723573 eta: 18:42:02 batch_cost: 0.6932 data_cost: 0.0019 ips: 57.7072 images/s
[07/28 18:47:13] ppdet.engine INFO: Epoch: [212] [320/732] learning_rate: 0.036162 loss_vfl: 0.952908 loss_bbox: 0.464724 loss_dfl: 0.424370 loss: 1.817969 eta: 18:41:38 batch_cost: 0.6798 data_cost: 0.0016 ips: 58.8436 images/s
[07/28 18:47:29] ppdet.engine INFO: Epoch: [212] [340/732] learning_rate: 0.036143 loss_vfl: 0.949107 loss_bbox: 0.464958 loss_dfl: 0.429368 loss: 1.834186 eta: 18:41:14 batch_cost: 0.6575 data_cost: 0.0015 ips: 60.8383 images/s
[07/28 18:47:46] ppdet.engine INFO: Epoch: [212] [360/732] learning_rate: 0.036125 loss_vfl: 0.933924 loss_bbox: 0.444675 loss_dfl: 0.405317 loss: 1.800833 eta: 18:40:50 batch_cost: 0.7101 data_cost: 0.0056 ips: 56.3278 images/s
[07/28 18:48:03] ppdet.engine INFO: Epoch: [212] [380/732] learning_rate: 0.036107 loss_vfl: 0.926455 loss_bbox: 0.430866 loss_dfl: 0.407458 loss: 1.777669 eta: 18:40:26 batch_cost: 0.6846 data_cost: 0.0003 ips: 58.4297 images/s
[07/28 18:48:20] ppdet.engine INFO: Epoch: [212] [400/732] learning_rate: 0.036088 loss_vfl: 0.896507 loss_bbox: 0.443356 loss_dfl: 0.405154 loss: 1.753511 eta: 18:40:03 batch_cost: 0.7079 data_cost: 0.0041 ips: 56.5044 images/s
[07/28 18:48:37] ppdet.engine INFO: Epoch: [212] [420/732] learning_rate: 0.036070 loss_vfl: 0.962953 loss_bbox: 0.472826 loss_dfl: 0.432310 loss: 1.874722 eta: 18:39:39 batch_cost: 0.7353 data_cost: 0.0011 ips: 54.4005 images/s
[07/28 18:48:54] ppdet.engine INFO: Epoch: [212] [440/732] learning_rate: 0.036052 loss_vfl: 0.908663 loss_bbox: 0.432079 loss_dfl: 0.398955 loss: 1.727326 eta: 18:39:15 batch_cost: 0.6976 data_cost: 0.0070 ips: 57.3400 images/s
[07/28 18:49:11] ppdet.engine INFO: Epoch: [212] [460/732] learning_rate: 0.036033 loss_vfl: 0.994123 loss_bbox: 0.459833 loss_dfl: 0.430854 loss: 1.884597 eta: 18:38:51 batch_cost: 0.6891 data_cost: 0.0016 ips: 58.0433 images/s
[07/28 18:49:28] ppdet.engine INFO: Epoch: [212] [480/732] learning_rate: 0.036015 loss_vfl: 0.928921 loss_bbox: 0.464235 loss_dfl: 0.411360 loss: 1.788404 eta: 18:38:27 batch_cost: 0.7202 data_cost: 0.0022 ips: 55.5412 images/s
[07/28 18:49:45] ppdet.engine INFO: Epoch: [212] [500/732] learning_rate: 0.035997 loss_vfl: 0.982111 loss_bbox: 0.463950 loss_dfl: 0.431255 loss: 1.880547 eta: 18:38:03 batch_cost: 0.6828 data_cost: 0.0022 ips: 58.5782 images/s
[07/28 18:50:02] ppdet.engine INFO: Epoch: [212] [520/732] learning_rate: 0.035978 loss_vfl: 0.918055 loss_bbox: 0.444971 loss_dfl: 0.413100 loss: 1.802230 eta: 18:37:40 batch_cost: 0.7079 data_cost: 0.0013 ips: 56.5025 images/s
[07/28 18:50:19] ppdet.engine INFO: Epoch: [212] [540/732] learning_rate: 0.035960 loss_vfl: 0.930150 loss_bbox: 0.436304 loss_dfl: 0.412028 loss: 1.803801 eta: 18:37:16 batch_cost: 0.7532 data_cost: 0.0039 ips: 53.1047 images/s
[07/28 18:50:35] ppdet.engine INFO: Epoch: [212] [560/732] learning_rate: 0.035942 loss_vfl: 0.951734 loss_bbox: 0.436701 loss_dfl: 0.410940 loss: 1.801212 eta: 18:36:52 batch_cost: 0.6421 data_cost: 0.0010 ips: 62.2946 images/s
[07/28 18:50:52] ppdet.engine INFO: Epoch: [212] [580/732] learning_rate: 0.035923 loss_vfl: 0.922970 loss_bbox: 0.440093 loss_dfl: 0.398995 loss: 1.751447 eta: 18:36:28 batch_cost: 0.7154 data_cost: 0.0009 ips: 55.9148 images/s
[07/28 18:51:09] ppdet.engine INFO: Epoch: [212] [600/732] learning_rate: 0.035905 loss_vfl: 0.936213 loss_bbox: 0.451730 loss_dfl: 0.416781 loss: 1.816827 eta: 18:36:04 batch_cost: 0.7117 data_cost: 0.0005 ips: 56.2003 images/s
[07/28 18:51:24] ppdet.engine INFO: Epoch: [212] [620/732] learning_rate: 0.035887 loss_vfl: 0.998469 loss_bbox: 0.477553 loss_dfl: 0.436036 loss: 1.874288 eta: 18:35:40 batch_cost: 0.6459 data_cost: 0.0059 ips: 61.9278 images/s
[07/28 18:51:41] ppdet.engine INFO: Epoch: [212] [640/732] learning_rate: 0.035868 loss_vfl: 0.922328 loss_bbox: 0.435776 loss_dfl: 0.408002 loss: 1.757867 eta: 18:35:16 batch_cost: 0.6719 data_cost: 0.0020 ips: 59.5300 images/s
[07/28 18:51:58] ppdet.engine INFO: Epoch: [212] [660/732] learning_rate: 0.035850 loss_vfl: 1.002945 loss_bbox: 0.478144 loss_dfl: 0.445156 loss: 1.913848 eta: 18:34:52 batch_cost: 0.6883 data_cost: 0.0023 ips: 58.1134 images/s
[07/28 18:52:14] ppdet.engine INFO: Epoch: [212] [680/732] learning_rate: 0.035832 loss_vfl: 0.945521 loss_bbox: 0.447125 loss_dfl: 0.400840 loss: 1.793947 eta: 18:34:28 batch_cost: 0.7020 data_cost: 0.0034 ips: 56.9811 images/s
[07/28 18:52:31] ppdet.engine INFO: Epoch: [212] [700/732] learning_rate: 0.035813 loss_vfl: 0.880444 loss_bbox: 0.425370 loss_dfl: 0.395958 loss: 1.694017 eta: 18:34:04 batch_cost: 0.6703 data_cost: 0.0039 ips: 59.6765 images/s
[07/28 18:52:48] ppdet.engine INFO: Epoch: [212] [720/732] learning_rate: 0.035795 loss_vfl: 0.871490 loss_bbox: 0.407924 loss_dfl: 0.384767 loss: 1.647009 eta: 18:33:40 batch_cost: 0.6995 data_cost: 0.0039 ips: 57.1873 images/s
[07/28 18:53:03] ppdet.engine INFO: Epoch: [213] [  0/732] learning_rate: 0.035784 loss_vfl: 0.898997 loss_bbox: 0.438437 loss_dfl: 0.403940 loss: 1.729468 eta: 18:33:28 batch_cost: 0.9036 data_cost: 0.2773 ips: 44.2676 images/s
[07/28 18:53:22] ppdet.engine INFO: Epoch: [213] [ 20/732] learning_rate: 0.035766 loss_vfl: 0.928220 loss_bbox: 0.447608 loss_dfl: 0.414925 loss: 1.789800 eta: 18:33:05 batch_cost: 0.7928 data_cost: 0.0032 ips: 50.4539 images/s
[07/28 18:53:39] ppdet.engine INFO: Epoch: [213] [ 40/732] learning_rate: 0.035748 loss_vfl: 0.939240 loss_bbox: 0.445857 loss_dfl: 0.423567 loss: 1.815766 eta: 18:32:41 batch_cost: 0.7544 data_cost: 0.0019 ips: 53.0232 images/s
[07/28 18:53:56] ppdet.engine INFO: Epoch: [213] [ 60/732] learning_rate: 0.035730 loss_vfl: 0.890761 loss_bbox: 0.427575 loss_dfl: 0.391024 loss: 1.692161 eta: 18:32:17 batch_cost: 0.7029 data_cost: 0.0017 ips: 56.9107 images/s
[07/28 18:54:13] ppdet.engine INFO: Epoch: [213] [ 80/732] learning_rate: 0.035711 loss_vfl: 0.945820 loss_bbox: 0.472316 loss_dfl: 0.426401 loss: 1.857460 eta: 18:31:54 batch_cost: 0.7171 data_cost: 0.0031 ips: 55.7806 images/s
[07/28 18:54:30] ppdet.engine INFO: Epoch: [213] [100/732] learning_rate: 0.035693 loss_vfl: 0.895313 loss_bbox: 0.438658 loss_dfl: 0.410819 loss: 1.737319 eta: 18:31:30 batch_cost: 0.6613 data_cost: 0.0004 ips: 60.4834 images/s
[07/28 18:54:47] ppdet.engine INFO: Epoch: [213] [120/732] learning_rate: 0.035675 loss_vfl: 0.934541 loss_bbox: 0.457611 loss_dfl: 0.422956 loss: 1.845645 eta: 18:31:06 batch_cost: 0.7095 data_cost: 0.0011 ips: 56.3748 images/s
[07/28 18:55:04] ppdet.engine INFO: Epoch: [213] [140/732] learning_rate: 0.035657 loss_vfl: 0.950752 loss_bbox: 0.473056 loss_dfl: 0.432703 loss: 1.874214 eta: 18:30:42 batch_cost: 0.7462 data_cost: 0.0010 ips: 53.6033 images/s
[07/28 18:55:22] ppdet.engine INFO: Epoch: [213] [160/732] learning_rate: 0.035638 loss_vfl: 0.931295 loss_bbox: 0.460372 loss_dfl: 0.421864 loss: 1.820449 eta: 18:30:19 batch_cost: 0.7492 data_cost: 0.0023 ips: 53.3906 images/s
[07/28 18:55:39] ppdet.engine INFO: Epoch: [213] [180/732] learning_rate: 0.035620 loss_vfl: 0.925024 loss_bbox: 0.417041 loss_dfl: 0.390482 loss: 1.739872 eta: 18:29:55 batch_cost: 0.7347 data_cost: 0.0030 ips: 54.4411 images/s
[07/28 18:55:55] ppdet.engine INFO: Epoch: [213] [200/732] learning_rate: 0.035602 loss_vfl: 0.887411 loss_bbox: 0.438893 loss_dfl: 0.405809 loss: 1.722151 eta: 18:29:31 batch_cost: 0.6508 data_cost: 0.0003 ips: 61.4665 images/s
[07/28 18:56:12] ppdet.engine INFO: Epoch: [213] [220/732] learning_rate: 0.035584 loss_vfl: 0.939072 loss_bbox: 0.446108 loss_dfl: 0.410811 loss: 1.793093 eta: 18:29:07 batch_cost: 0.7153 data_cost: 0.0012 ips: 55.9212 images/s
[07/28 18:56:29] ppdet.engine INFO: Epoch: [213] [240/732] learning_rate: 0.035566 loss_vfl: 0.943546 loss_bbox: 0.473933 loss_dfl: 0.428062 loss: 1.861305 eta: 18:28:44 batch_cost: 0.7228 data_cost: 0.0010 ips: 55.3379 images/s
[07/28 18:56:47] ppdet.engine INFO: Epoch: [213] [260/732] learning_rate: 0.035548 loss_vfl: 0.934515 loss_bbox: 0.447795 loss_dfl: 0.422759 loss: 1.809617 eta: 18:28:20 batch_cost: 0.7410 data_cost: 0.0020 ips: 53.9817 images/s
[07/28 18:57:03] ppdet.engine INFO: Epoch: [213] [280/732] learning_rate: 0.035529 loss_vfl: 0.940352 loss_bbox: 0.443410 loss_dfl: 0.423865 loss: 1.798980 eta: 18:27:56 batch_cost: 0.6718 data_cost: 0.0004 ips: 59.5455 images/s
[07/28 18:57:20] ppdet.engine INFO: Epoch: [213] [300/732] learning_rate: 0.035511 loss_vfl: 0.886952 loss_bbox: 0.415000 loss_dfl: 0.386575 loss: 1.696080 eta: 18:27:33 batch_cost: 0.7010 data_cost: 0.0023 ips: 57.0614 images/s
[07/28 18:57:36] ppdet.engine INFO: Epoch: [213] [320/732] learning_rate: 0.035493 loss_vfl: 0.883164 loss_bbox: 0.412521 loss_dfl: 0.385716 loss: 1.690001 eta: 18:27:08 batch_cost: 0.6473 data_cost: 0.0023 ips: 61.7989 images/s
[07/28 18:57:51] ppdet.engine INFO: Epoch: [213] [340/732] learning_rate: 0.035475 loss_vfl: 0.926981 loss_bbox: 0.430945 loss_dfl: 0.403424 loss: 1.745790 eta: 18:26:44 batch_cost: 0.6154 data_cost: 0.0053 ips: 65.0024 images/s
[07/28 18:58:08] ppdet.engine INFO: Epoch: [213] [360/732] learning_rate: 0.035457 loss_vfl: 0.909580 loss_bbox: 0.417451 loss_dfl: 0.396355 loss: 1.713112 eta: 18:26:20 batch_cost: 0.6572 data_cost: 0.0012 ips: 60.8608 images/s
[07/28 18:58:25] ppdet.engine INFO: Epoch: [213] [380/732] learning_rate: 0.035439 loss_vfl: 0.967364 loss_bbox: 0.465967 loss_dfl: 0.429824 loss: 1.888288 eta: 18:25:56 batch_cost: 0.6875 data_cost: 0.0003 ips: 58.1802 images/s
[07/28 18:58:41] ppdet.engine INFO: Epoch: [213] [400/732] learning_rate: 0.035421 loss_vfl: 0.944877 loss_bbox: 0.447811 loss_dfl: 0.422974 loss: 1.843434 eta: 18:25:32 batch_cost: 0.6756 data_cost: 0.0030 ips: 59.2087 images/s
[07/28 18:58:58] ppdet.engine INFO: Epoch: [213] [420/732] learning_rate: 0.035403 loss_vfl: 0.924055 loss_bbox: 0.450998 loss_dfl: 0.407421 loss: 1.775942 eta: 18:25:08 batch_cost: 0.6829 data_cost: 0.0018 ips: 58.5726 images/s
[07/28 18:59:14] ppdet.engine INFO: Epoch: [213] [440/732] learning_rate: 0.035384 loss_vfl: 0.974859 loss_bbox: 0.460974 loss_dfl: 0.418103 loss: 1.853874 eta: 18:24:44 batch_cost: 0.6911 data_cost: 0.0037 ips: 57.8758 images/s
[07/28 18:59:31] ppdet.engine INFO: Epoch: [213] [460/732] learning_rate: 0.035366 loss_vfl: 0.942130 loss_bbox: 0.455259 loss_dfl: 0.415032 loss: 1.808657 eta: 18:24:20 batch_cost: 0.6785 data_cost: 0.0008 ips: 58.9559 images/s
[07/28 18:59:48] ppdet.engine INFO: Epoch: [213] [480/732] learning_rate: 0.035348 loss_vfl: 0.868664 loss_bbox: 0.404967 loss_dfl: 0.377087 loss: 1.648852 eta: 18:23:56 batch_cost: 0.6982 data_cost: 0.0031 ips: 57.2890 images/s
[07/28 19:00:04] ppdet.engine INFO: Epoch: [213] [500/732] learning_rate: 0.035330 loss_vfl: 0.967012 loss_bbox: 0.468289 loss_dfl: 0.452669 loss: 1.887078 eta: 18:23:32 batch_cost: 0.6697 data_cost: 0.0004 ips: 59.7244 images/s
[07/28 19:00:21] ppdet.engine INFO: Epoch: [213] [520/732] learning_rate: 0.035312 loss_vfl: 0.976694 loss_bbox: 0.475352 loss_dfl: 0.426318 loss: 1.878786 eta: 18:23:09 batch_cost: 0.7096 data_cost: 0.0009 ips: 56.3711 images/s
[07/28 19:00:38] ppdet.engine INFO: Epoch: [213] [540/732] learning_rate: 0.035294 loss_vfl: 0.898623 loss_bbox: 0.451108 loss_dfl: 0.408961 loss: 1.772189 eta: 18:22:45 batch_cost: 0.6869 data_cost: 0.0010 ips: 58.2298 images/s
[07/28 19:00:54] ppdet.engine INFO: Epoch: [213] [560/732] learning_rate: 0.035276 loss_vfl: 0.884823 loss_bbox: 0.445165 loss_dfl: 0.405063 loss: 1.742592 eta: 18:22:21 batch_cost: 0.6572 data_cost: 0.0025 ips: 60.8678 images/s
[07/28 19:01:10] ppdet.engine INFO: Epoch: [213] [580/732] learning_rate: 0.035258 loss_vfl: 0.883157 loss_bbox: 0.421545 loss_dfl: 0.385340 loss: 1.689505 eta: 18:21:57 batch_cost: 0.7073 data_cost: 0.0053 ips: 56.5508 images/s
[07/28 19:01:28] ppdet.engine INFO: Epoch: [213] [600/732] learning_rate: 0.035240 loss_vfl: 0.942812 loss_bbox: 0.452629 loss_dfl: 0.422346 loss: 1.818860 eta: 18:21:33 batch_cost: 0.7013 data_cost: 0.0062 ips: 57.0351 images/s
[07/28 19:01:45] ppdet.engine INFO: Epoch: [213] [620/732] learning_rate: 0.035222 loss_vfl: 0.920473 loss_bbox: 0.436557 loss_dfl: 0.398164 loss: 1.736725 eta: 18:21:10 batch_cost: 0.7034 data_cost: 0.0020 ips: 56.8684 images/s
[07/28 19:02:02] ppdet.engine INFO: Epoch: [213] [640/732] learning_rate: 0.035204 loss_vfl: 0.971394 loss_bbox: 0.444143 loss_dfl: 0.425534 loss: 1.859556 eta: 18:20:46 batch_cost: 0.7353 data_cost: 0.0009 ips: 54.3972 images/s
[07/28 19:02:19] ppdet.engine INFO: Epoch: [213] [660/732] learning_rate: 0.035186 loss_vfl: 0.902479 loss_bbox: 0.434034 loss_dfl: 0.395756 loss: 1.729144 eta: 18:20:22 batch_cost: 0.6778 data_cost: 0.0010 ips: 59.0167 images/s
[07/28 19:02:37] ppdet.engine INFO: Epoch: [213] [680/732] learning_rate: 0.035168 loss_vfl: 0.966780 loss_bbox: 0.450195 loss_dfl: 0.414339 loss: 1.840309 eta: 18:19:59 batch_cost: 0.7306 data_cost: 0.0003 ips: 54.7471 images/s
[07/28 19:02:54] ppdet.engine INFO: Epoch: [213] [700/732] learning_rate: 0.035150 loss_vfl: 0.888439 loss_bbox: 0.426785 loss_dfl: 0.396929 loss: 1.716825 eta: 18:19:35 batch_cost: 0.7089 data_cost: 0.0007 ips: 56.4243 images/s
[07/28 19:03:11] ppdet.engine INFO: Epoch: [213] [720/732] learning_rate: 0.035132 loss_vfl: 1.004930 loss_bbox: 0.461844 loss_dfl: 0.438911 loss: 1.907868 eta: 18:19:11 batch_cost: 0.7251 data_cost: 0.0004 ips: 55.1662 images/s
[07/28 19:03:25] ppdet.engine INFO: Epoch: [214] [  0/732] learning_rate: 0.035121 loss_vfl: 0.987932 loss_bbox: 0.477981 loss_dfl: 0.444965 loss: 1.912720 eta: 18:18:58 batch_cost: 0.8154 data_cost: 0.2311 ips: 49.0533 images/s
[07/28 19:03:45] ppdet.engine INFO: Epoch: [214] [ 20/732] learning_rate: 0.035103 loss_vfl: 0.885237 loss_bbox: 0.445388 loss_dfl: 0.408086 loss: 1.716531 eta: 18:18:36 batch_cost: 0.8527 data_cost: 0.0018 ips: 46.9093 images/s
[07/28 19:04:03] ppdet.engine INFO: Epoch: [214] [ 40/732] learning_rate: 0.035085 loss_vfl: 0.874483 loss_bbox: 0.415212 loss_dfl: 0.391493 loss: 1.694996 eta: 18:18:12 batch_cost: 0.6950 data_cost: 0.0007 ips: 57.5559 images/s
[07/28 19:04:20] ppdet.engine INFO: Epoch: [214] [ 60/732] learning_rate: 0.035067 loss_vfl: 0.921981 loss_bbox: 0.447204 loss_dfl: 0.412336 loss: 1.780394 eta: 18:17:48 batch_cost: 0.7064 data_cost: 0.0005 ips: 56.6279 images/s
[07/28 19:04:38] ppdet.engine INFO: Epoch: [214] [ 80/732] learning_rate: 0.035049 loss_vfl: 0.930480 loss_bbox: 0.448798 loss_dfl: 0.420312 loss: 1.805403 eta: 18:17:25 batch_cost: 0.7397 data_cost: 0.0040 ips: 54.0769 images/s
[07/28 19:04:56] ppdet.engine INFO: Epoch: [214] [100/732] learning_rate: 0.035031 loss_vfl: 0.881457 loss_bbox: 0.429737 loss_dfl: 0.391980 loss: 1.693394 eta: 18:17:01 batch_cost: 0.7276 data_cost: 0.0020 ips: 54.9730 images/s
[07/28 19:05:13] ppdet.engine INFO: Epoch: [214] [120/732] learning_rate: 0.035013 loss_vfl: 0.878787 loss_bbox: 0.436311 loss_dfl: 0.396779 loss: 1.732082 eta: 18:16:37 batch_cost: 0.7007 data_cost: 0.0022 ips: 57.0817 images/s
[07/28 19:05:30] ppdet.engine INFO: Epoch: [214] [140/732] learning_rate: 0.034995 loss_vfl: 0.943527 loss_bbox: 0.445090 loss_dfl: 0.413494 loss: 1.802659 eta: 18:16:14 batch_cost: 0.6962 data_cost: 0.0014 ips: 57.4513 images/s
[07/28 19:05:47] ppdet.engine INFO: Epoch: [214] [160/732] learning_rate: 0.034977 loss_vfl: 0.872232 loss_bbox: 0.458868 loss_dfl: 0.413302 loss: 1.759376 eta: 18:15:50 batch_cost: 0.6921 data_cost: 0.0003 ips: 57.7939 images/s
[07/28 19:06:04] ppdet.engine INFO: Epoch: [214] [180/732] learning_rate: 0.034960 loss_vfl: 0.897566 loss_bbox: 0.425815 loss_dfl: 0.394853 loss: 1.703787 eta: 18:15:26 batch_cost: 0.7000 data_cost: 0.0024 ips: 57.1400 images/s
[07/28 19:06:21] ppdet.engine INFO: Epoch: [214] [200/732] learning_rate: 0.034942 loss_vfl: 0.935916 loss_bbox: 0.450499 loss_dfl: 0.415611 loss: 1.805034 eta: 18:15:03 batch_cost: 0.7049 data_cost: 0.0015 ips: 56.7483 images/s
[07/28 19:06:38] ppdet.engine INFO: Epoch: [214] [220/732] learning_rate: 0.034924 loss_vfl: 0.895504 loss_bbox: 0.426165 loss_dfl: 0.401874 loss: 1.737955 eta: 18:14:39 batch_cost: 0.7451 data_cost: 0.0090 ips: 53.6833 images/s
[07/28 19:06:55] ppdet.engine INFO: Epoch: [214] [240/732] learning_rate: 0.034906 loss_vfl: 0.918780 loss_bbox: 0.435492 loss_dfl: 0.399927 loss: 1.764327 eta: 18:14:15 batch_cost: 0.6777 data_cost: 0.0003 ips: 59.0198 images/s
[07/28 19:07:12] ppdet.engine INFO: Epoch: [214] [260/732] learning_rate: 0.034888 loss_vfl: 0.936773 loss_bbox: 0.464774 loss_dfl: 0.423935 loss: 1.819386 eta: 18:13:51 batch_cost: 0.6685 data_cost: 0.0031 ips: 59.8363 images/s
[07/28 19:07:28] ppdet.engine INFO: Epoch: [214] [280/732] learning_rate: 0.034870 loss_vfl: 0.858925 loss_bbox: 0.434515 loss_dfl: 0.394243 loss: 1.708921 eta: 18:13:27 batch_cost: 0.6752 data_cost: 0.0031 ips: 59.2384 images/s
[07/28 19:07:45] ppdet.engine INFO: Epoch: [214] [300/732] learning_rate: 0.034852 loss_vfl: 0.925494 loss_bbox: 0.445028 loss_dfl: 0.415596 loss: 1.780762 eta: 18:13:04 batch_cost: 0.7253 data_cost: 0.0031 ips: 55.1487 images/s
[07/28 19:08:02] ppdet.engine INFO: Epoch: [214] [320/732] learning_rate: 0.034834 loss_vfl: 0.922732 loss_bbox: 0.453233 loss_dfl: 0.414290 loss: 1.790979 eta: 18:12:40 batch_cost: 0.7138 data_cost: 0.0016 ips: 56.0383 images/s
[07/28 19:08:20] ppdet.engine INFO: Epoch: [214] [340/732] learning_rate: 0.034816 loss_vfl: 0.925191 loss_bbox: 0.450465 loss_dfl: 0.406152 loss: 1.780491 eta: 18:12:17 batch_cost: 0.7599 data_cost: 0.0008 ips: 52.6406 images/s
[07/28 19:08:35] ppdet.engine INFO: Epoch: [214] [360/732] learning_rate: 0.034799 loss_vfl: 0.938944 loss_bbox: 0.457906 loss_dfl: 0.416398 loss: 1.812759 eta: 18:11:53 batch_cost: 0.6538 data_cost: 0.0020 ips: 61.1798 images/s
[07/28 19:08:52] ppdet.engine INFO: Epoch: [214] [380/732] learning_rate: 0.034781 loss_vfl: 0.935715 loss_bbox: 0.437567 loss_dfl: 0.410868 loss: 1.792247 eta: 18:11:29 batch_cost: 0.6789 data_cost: 0.0025 ips: 58.9219 images/s
[07/28 19:09:09] ppdet.engine INFO: Epoch: [214] [400/732] learning_rate: 0.034763 loss_vfl: 0.911462 loss_bbox: 0.449187 loss_dfl: 0.413357 loss: 1.812058 eta: 18:11:06 batch_cost: 0.7507 data_cost: 0.0003 ips: 53.2828 images/s
[07/28 19:09:26] ppdet.engine INFO: Epoch: [214] [420/732] learning_rate: 0.034745 loss_vfl: 0.912891 loss_bbox: 0.440449 loss_dfl: 0.401587 loss: 1.754470 eta: 18:10:42 batch_cost: 0.6882 data_cost: 0.0013 ips: 58.1194 images/s
[07/28 19:09:42] ppdet.engine INFO: Epoch: [214] [440/732] learning_rate: 0.034727 loss_vfl: 0.908788 loss_bbox: 0.438702 loss_dfl: 0.392323 loss: 1.709985 eta: 18:10:18 batch_cost: 0.6502 data_cost: 0.0023 ips: 61.5229 images/s
[07/28 19:09:59] ppdet.engine INFO: Epoch: [214] [460/732] learning_rate: 0.034709 loss_vfl: 0.919325 loss_bbox: 0.435542 loss_dfl: 0.408464 loss: 1.767614 eta: 18:09:54 batch_cost: 0.6908 data_cost: 0.0011 ips: 57.9003 images/s
[07/28 19:10:15] ppdet.engine INFO: Epoch: [214] [480/732] learning_rate: 0.034692 loss_vfl: 0.942369 loss_bbox: 0.452044 loss_dfl: 0.424137 loss: 1.819989 eta: 18:09:30 batch_cost: 0.6838 data_cost: 0.0003 ips: 58.4946 images/s
[07/28 19:10:31] ppdet.engine INFO: Epoch: [214] [500/732] learning_rate: 0.034674 loss_vfl: 0.905159 loss_bbox: 0.445071 loss_dfl: 0.408196 loss: 1.766489 eta: 18:09:06 batch_cost: 0.6657 data_cost: 0.0009 ips: 60.0850 images/s
[07/28 19:10:47] ppdet.engine INFO: Epoch: [214] [520/732] learning_rate: 0.034656 loss_vfl: 0.997982 loss_bbox: 0.463482 loss_dfl: 0.437728 loss: 1.924257 eta: 18:08:43 batch_cost: 0.7009 data_cost: 0.0020 ips: 57.0691 images/s
[07/28 19:11:04] ppdet.engine INFO: Epoch: [214] [540/732] learning_rate: 0.034638 loss_vfl: 0.871488 loss_bbox: 0.426934 loss_dfl: 0.396441 loss: 1.722339 eta: 18:08:19 batch_cost: 0.6902 data_cost: 0.0025 ips: 57.9561 images/s
[07/28 19:11:21] ppdet.engine INFO: Epoch: [214] [560/732] learning_rate: 0.034620 loss_vfl: 0.939774 loss_bbox: 0.465970 loss_dfl: 0.420034 loss: 1.820383 eta: 18:07:55 batch_cost: 0.6974 data_cost: 0.0009 ips: 57.3563 images/s
[07/28 19:11:37] ppdet.engine INFO: Epoch: [214] [580/732] learning_rate: 0.034603 loss_vfl: 0.896914 loss_bbox: 0.419289 loss_dfl: 0.392168 loss: 1.689117 eta: 18:07:32 batch_cost: 0.7206 data_cost: 0.0011 ips: 55.5104 images/s
[07/28 19:11:55] ppdet.engine INFO: Epoch: [214] [600/732] learning_rate: 0.034585 loss_vfl: 0.958922 loss_bbox: 0.461649 loss_dfl: 0.421192 loss: 1.836099 eta: 18:07:08 batch_cost: 0.7085 data_cost: 0.0041 ips: 56.4559 images/s
[07/28 19:12:12] ppdet.engine INFO: Epoch: [214] [620/732] learning_rate: 0.034567 loss_vfl: 0.890946 loss_bbox: 0.431903 loss_dfl: 0.394845 loss: 1.722822 eta: 18:06:45 batch_cost: 0.7124 data_cost: 0.0042 ips: 56.1475 images/s
[07/28 19:12:28] ppdet.engine INFO: Epoch: [214] [640/732] learning_rate: 0.034549 loss_vfl: 0.905599 loss_bbox: 0.452256 loss_dfl: 0.403428 loss: 1.754476 eta: 18:06:21 batch_cost: 0.6359 data_cost: 0.0018 ips: 62.9013 images/s
[07/28 19:12:45] ppdet.engine INFO: Epoch: [214] [660/732] learning_rate: 0.034532 loss_vfl: 0.894832 loss_bbox: 0.427099 loss_dfl: 0.399793 loss: 1.725287 eta: 18:05:57 batch_cost: 0.6949 data_cost: 0.0003 ips: 57.5611 images/s
[07/28 19:13:02] ppdet.engine INFO: Epoch: [214] [680/732] learning_rate: 0.034514 loss_vfl: 0.942758 loss_bbox: 0.457034 loss_dfl: 0.423439 loss: 1.837390 eta: 18:05:33 batch_cost: 0.6736 data_cost: 0.0004 ips: 59.3831 images/s
[07/28 19:13:19] ppdet.engine INFO: Epoch: [214] [700/732] learning_rate: 0.034496 loss_vfl: 0.919884 loss_bbox: 0.465407 loss_dfl: 0.429084 loss: 1.818731 eta: 18:05:09 batch_cost: 0.7140 data_cost: 0.0008 ips: 56.0254 images/s
[07/28 19:13:36] ppdet.engine INFO: Epoch: [214] [720/732] learning_rate: 0.034479 loss_vfl: 0.905304 loss_bbox: 0.444872 loss_dfl: 0.407343 loss: 1.756883 eta: 18:04:46 batch_cost: 0.7329 data_cost: 0.0031 ips: 54.5771 images/s
[07/28 19:13:51] ppdet.engine INFO: Epoch: [215] [  0/732] learning_rate: 0.034468 loss_vfl: 0.855253 loss_bbox: 0.451121 loss_dfl: 0.397511 loss: 1.710369 eta: 18:04:33 batch_cost: 0.9246 data_cost: 0.3180 ips: 43.2620 images/s
[07/28 19:14:09] ppdet.engine INFO: Epoch: [215] [ 20/732] learning_rate: 0.034450 loss_vfl: 0.941442 loss_bbox: 0.442382 loss_dfl: 0.417761 loss: 1.795674 eta: 18:04:10 batch_cost: 0.7246 data_cost: 0.0002 ips: 55.2038 images/s
[07/28 19:14:27] ppdet.engine INFO: Epoch: [215] [ 40/732] learning_rate: 0.034432 loss_vfl: 0.901703 loss_bbox: 0.443451 loss_dfl: 0.400554 loss: 1.754015 eta: 18:03:47 batch_cost: 0.7297 data_cost: 0.0011 ips: 54.8134 images/s
[07/28 19:14:45] ppdet.engine INFO: Epoch: [215] [ 60/732] learning_rate: 0.034415 loss_vfl: 0.910916 loss_bbox: 0.420793 loss_dfl: 0.403165 loss: 1.733938 eta: 18:03:24 batch_cost: 0.7876 data_cost: 0.0010 ips: 50.7860 images/s
[07/28 19:15:03] ppdet.engine INFO: Epoch: [215] [ 80/732] learning_rate: 0.034397 loss_vfl: 0.898304 loss_bbox: 0.451074 loss_dfl: 0.413976 loss: 1.763995 eta: 18:03:00 batch_cost: 0.7193 data_cost: 0.0003 ips: 55.6118 images/s
[07/28 19:15:21] ppdet.engine INFO: Epoch: [215] [100/732] learning_rate: 0.034379 loss_vfl: 0.980155 loss_bbox: 0.463415 loss_dfl: 0.441567 loss: 1.882695 eta: 18:02:37 batch_cost: 0.7567 data_cost: 0.0027 ips: 52.8587 images/s
[07/28 19:15:38] ppdet.engine INFO: Epoch: [215] [120/732] learning_rate: 0.034362 loss_vfl: 0.908717 loss_bbox: 0.438526 loss_dfl: 0.409062 loss: 1.759621 eta: 18:02:13 batch_cost: 0.7123 data_cost: 0.0015 ips: 56.1553 images/s
[07/28 19:15:54] ppdet.engine INFO: Epoch: [215] [140/732] learning_rate: 0.034344 loss_vfl: 0.891411 loss_bbox: 0.424926 loss_dfl: 0.398059 loss: 1.698975 eta: 18:01:50 batch_cost: 0.7210 data_cost: 0.0027 ips: 55.4775 images/s
[07/28 19:16:11] ppdet.engine INFO: Epoch: [215] [160/732] learning_rate: 0.034326 loss_vfl: 0.925505 loss_bbox: 0.442488 loss_dfl: 0.410292 loss: 1.798061 eta: 18:01:26 batch_cost: 0.7077 data_cost: 0.0003 ips: 56.5250 images/s
[07/28 19:16:29] ppdet.engine INFO: Epoch: [215] [180/732] learning_rate: 0.034309 loss_vfl: 0.924783 loss_bbox: 0.456712 loss_dfl: 0.417723 loss: 1.821607 eta: 18:01:03 batch_cost: 0.7567 data_cost: 0.0016 ips: 52.8609 images/s
[07/28 19:16:45] ppdet.engine INFO: Epoch: [215] [200/732] learning_rate: 0.034291 loss_vfl: 0.905890 loss_bbox: 0.448711 loss_dfl: 0.408605 loss: 1.779362 eta: 18:00:39 batch_cost: 0.6336 data_cost: 0.0038 ips: 63.1320 images/s
[07/28 19:17:01] ppdet.engine INFO: Epoch: [215] [220/732] learning_rate: 0.034274 loss_vfl: 0.938774 loss_bbox: 0.447114 loss_dfl: 0.414220 loss: 1.808662 eta: 18:00:15 batch_cost: 0.6606 data_cost: 0.0007 ips: 60.5510 images/s
[07/28 19:17:18] ppdet.engine INFO: Epoch: [215] [240/732] learning_rate: 0.034256 loss_vfl: 0.920506 loss_bbox: 0.439705 loss_dfl: 0.405577 loss: 1.775980 eta: 17:59:51 batch_cost: 0.6862 data_cost: 0.0011 ips: 58.2921 images/s
[07/28 19:17:34] ppdet.engine INFO: Epoch: [215] [260/732] learning_rate: 0.034238 loss_vfl: 0.903285 loss_bbox: 0.432194 loss_dfl: 0.403815 loss: 1.740586 eta: 17:59:28 batch_cost: 0.7164 data_cost: 0.0015 ips: 55.8366 images/s
[07/28 19:17:51] ppdet.engine INFO: Epoch: [215] [280/732] learning_rate: 0.034221 loss_vfl: 0.988271 loss_bbox: 0.477246 loss_dfl: 0.440672 loss: 1.897790 eta: 17:59:04 batch_cost: 0.6644 data_cost: 0.0044 ips: 60.2070 images/s
[07/28 19:18:08] ppdet.engine INFO: Epoch: [215] [300/732] learning_rate: 0.034203 loss_vfl: 0.974797 loss_bbox: 0.470583 loss_dfl: 0.431923 loss: 1.880445 eta: 17:58:41 batch_cost: 0.7398 data_cost: 0.0003 ips: 54.0690 images/s
[07/28 19:18:25] ppdet.engine INFO: Epoch: [215] [320/732] learning_rate: 0.034186 loss_vfl: 0.908596 loss_bbox: 0.430863 loss_dfl: 0.400746 loss: 1.755692 eta: 17:58:17 batch_cost: 0.7355 data_cost: 0.0041 ips: 54.3822 images/s
[07/28 19:18:43] ppdet.engine INFO: Epoch: [215] [340/732] learning_rate: 0.034168 loss_vfl: 0.924711 loss_bbox: 0.446591 loss_dfl: 0.418899 loss: 1.800939 eta: 17:57:54 batch_cost: 0.7267 data_cost: 0.0035 ips: 55.0432 images/s
[07/28 19:18:59] ppdet.engine INFO: Epoch: [215] [360/732] learning_rate: 0.034150 loss_vfl: 0.900851 loss_bbox: 0.420818 loss_dfl: 0.400548 loss: 1.724582 eta: 17:57:30 batch_cost: 0.6766 data_cost: 0.0008 ips: 59.1165 images/s
[07/28 19:19:16] ppdet.engine INFO: Epoch: [215] [380/732] learning_rate: 0.034133 loss_vfl: 0.920378 loss_bbox: 0.436778 loss_dfl: 0.406822 loss: 1.748615 eta: 17:57:07 batch_cost: 0.7000 data_cost: 0.0007 ips: 57.1411 images/s
[07/28 19:19:32] ppdet.engine INFO: Epoch: [215] [400/732] learning_rate: 0.034115 loss_vfl: 0.941750 loss_bbox: 0.426843 loss_dfl: 0.401004 loss: 1.789146 eta: 17:56:43 batch_cost: 0.6815 data_cost: 0.0003 ips: 58.6913 images/s
[07/28 19:19:48] ppdet.engine INFO: Epoch: [215] [420/732] learning_rate: 0.034098 loss_vfl: 0.907442 loss_bbox: 0.434649 loss_dfl: 0.400527 loss: 1.757236 eta: 17:56:19 batch_cost: 0.6655 data_cost: 0.0031 ips: 60.1095 images/s
[07/28 19:20:06] ppdet.engine INFO: Epoch: [215] [440/732] learning_rate: 0.034080 loss_vfl: 0.946823 loss_bbox: 0.477374 loss_dfl: 0.437927 loss: 1.882113 eta: 17:55:55 batch_cost: 0.7139 data_cost: 0.0018 ips: 56.0295 images/s
[07/28 19:20:23] ppdet.engine INFO: Epoch: [215] [460/732] learning_rate: 0.034063 loss_vfl: 0.954369 loss_bbox: 0.450500 loss_dfl: 0.428929 loss: 1.850575 eta: 17:55:32 batch_cost: 0.7217 data_cost: 0.0006 ips: 55.4236 images/s
[07/28 19:20:40] ppdet.engine INFO: Epoch: [215] [480/732] learning_rate: 0.034045 loss_vfl: 0.925309 loss_bbox: 0.456598 loss_dfl: 0.403742 loss: 1.772326 eta: 17:55:08 batch_cost: 0.6500 data_cost: 0.0008 ips: 61.5341 images/s
[07/28 19:20:56] ppdet.engine INFO: Epoch: [215] [500/732] learning_rate: 0.034028 loss_vfl: 0.942670 loss_bbox: 0.471960 loss_dfl: 0.431275 loss: 1.858531 eta: 17:54:44 batch_cost: 0.6954 data_cost: 0.0009 ips: 57.5213 images/s
[07/28 19:21:12] ppdet.engine INFO: Epoch: [215] [520/732] learning_rate: 0.034010 loss_vfl: 0.870844 loss_bbox: 0.425636 loss_dfl: 0.392503 loss: 1.701324 eta: 17:54:21 batch_cost: 0.6878 data_cost: 0.0021 ips: 58.1543 images/s
[07/28 19:21:28] ppdet.engine INFO: Epoch: [215] [540/732] learning_rate: 0.033993 loss_vfl: 0.909237 loss_bbox: 0.444730 loss_dfl: 0.407838 loss: 1.769411 eta: 17:53:57 batch_cost: 0.6706 data_cost: 0.0013 ips: 59.6490 images/s
[07/28 19:21:45] ppdet.engine INFO: Epoch: [215] [560/732] learning_rate: 0.033975 loss_vfl: 0.946123 loss_bbox: 0.448180 loss_dfl: 0.410814 loss: 1.797296 eta: 17:53:33 batch_cost: 0.6883 data_cost: 0.0019 ips: 58.1126 images/s
[07/28 19:22:01] ppdet.engine INFO: Epoch: [215] [580/732] learning_rate: 0.033958 loss_vfl: 0.925050 loss_bbox: 0.447465 loss_dfl: 0.403386 loss: 1.770311 eta: 17:53:09 batch_cost: 0.6747 data_cost: 0.0003 ips: 59.2878 images/s
[07/28 19:22:18] ppdet.engine INFO: Epoch: [215] [600/732] learning_rate: 0.033940 loss_vfl: 0.988986 loss_bbox: 0.487701 loss_dfl: 0.440964 loss: 1.905558 eta: 17:52:46 batch_cost: 0.7226 data_cost: 0.0009 ips: 55.3550 images/s
[07/28 19:22:35] ppdet.engine INFO: Epoch: [215] [620/732] learning_rate: 0.033923 loss_vfl: 0.946820 loss_bbox: 0.474756 loss_dfl: 0.412522 loss: 1.807606 eta: 17:52:22 batch_cost: 0.6983 data_cost: 0.0009 ips: 57.2827 images/s
[07/28 19:22:52] ppdet.engine INFO: Epoch: [215] [640/732] learning_rate: 0.033905 loss_vfl: 0.943685 loss_bbox: 0.445023 loss_dfl: 0.424816 loss: 1.817894 eta: 17:51:59 batch_cost: 0.6875 data_cost: 0.0026 ips: 58.1782 images/s
[07/28 19:23:08] ppdet.engine INFO: Epoch: [215] [660/732] learning_rate: 0.033888 loss_vfl: 0.994306 loss_bbox: 0.473184 loss_dfl: 0.426667 loss: 1.854242 eta: 17:51:35 batch_cost: 0.6794 data_cost: 0.0034 ips: 58.8753 images/s
[07/28 19:23:24] ppdet.engine INFO: Epoch: [215] [680/732] learning_rate: 0.033870 loss_vfl: 0.922548 loss_bbox: 0.460576 loss_dfl: 0.416256 loss: 1.806086 eta: 17:51:12 batch_cost: 0.7144 data_cost: 0.0033 ips: 55.9916 images/s
[07/28 19:23:41] ppdet.engine INFO: Epoch: [215] [700/732] learning_rate: 0.033853 loss_vfl: 0.946182 loss_bbox: 0.446377 loss_dfl: 0.417383 loss: 1.820280 eta: 17:50:48 batch_cost: 0.7236 data_cost: 0.0024 ips: 55.2792 images/s
[07/28 19:23:58] ppdet.engine INFO: Epoch: [215] [720/732] learning_rate: 0.033835 loss_vfl: 0.933224 loss_bbox: 0.462759 loss_dfl: 0.416408 loss: 1.783975 eta: 17:50:24 batch_cost: 0.6610 data_cost: 0.0010 ips: 60.5101 images/s
[07/28 19:24:12] ppdet.engine INFO: Epoch: [216] [  0/732] learning_rate: 0.033825 loss_vfl: 0.887577 loss_bbox: 0.427002 loss_dfl: 0.403320 loss: 1.719196 eta: 17:50:11 batch_cost: 0.8448 data_cost: 0.2359 ips: 47.3476 images/s
[07/28 19:24:32] ppdet.engine INFO: Epoch: [216] [ 20/732] learning_rate: 0.033807 loss_vfl: 0.948767 loss_bbox: 0.442830 loss_dfl: 0.410856 loss: 1.800289 eta: 17:49:49 batch_cost: 0.8480 data_cost: 0.0003 ips: 47.1702 images/s
[07/28 19:24:49] ppdet.engine INFO: Epoch: [216] [ 40/732] learning_rate: 0.033790 loss_vfl: 0.871478 loss_bbox: 0.446025 loss_dfl: 0.391937 loss: 1.703490 eta: 17:49:25 batch_cost: 0.6846 data_cost: 0.0011 ips: 58.4318 images/s
[07/28 19:25:06] ppdet.engine INFO: Epoch: [216] [ 60/732] learning_rate: 0.033773 loss_vfl: 0.948778 loss_bbox: 0.469221 loss_dfl: 0.430988 loss: 1.841572 eta: 17:49:02 batch_cost: 0.7038 data_cost: 0.0014 ips: 56.8355 images/s
[07/28 19:25:23] ppdet.engine INFO: Epoch: [216] [ 80/732] learning_rate: 0.033755 loss_vfl: 0.968481 loss_bbox: 0.457035 loss_dfl: 0.431945 loss: 1.883258 eta: 17:48:38 batch_cost: 0.7223 data_cost: 0.0026 ips: 55.3807 images/s
[07/28 19:25:40] ppdet.engine INFO: Epoch: [216] [100/732] learning_rate: 0.033738 loss_vfl: 0.895494 loss_bbox: 0.436589 loss_dfl: 0.404627 loss: 1.747705 eta: 17:48:15 batch_cost: 0.6844 data_cost: 0.0004 ips: 58.4419 images/s
[07/28 19:25:57] ppdet.engine INFO: Epoch: [216] [120/732] learning_rate: 0.033720 loss_vfl: 0.896840 loss_bbox: 0.433275 loss_dfl: 0.395102 loss: 1.720764 eta: 17:47:51 batch_cost: 0.7180 data_cost: 0.0013 ips: 55.7081 images/s
[07/28 19:26:14] ppdet.engine INFO: Epoch: [216] [140/732] learning_rate: 0.033703 loss_vfl: 0.936435 loss_bbox: 0.439399 loss_dfl: 0.411635 loss: 1.805169 eta: 17:47:28 batch_cost: 0.6896 data_cost: 0.0054 ips: 58.0064 images/s
[07/28 19:26:32] ppdet.engine INFO: Epoch: [216] [160/732] learning_rate: 0.033686 loss_vfl: 0.959062 loss_bbox: 0.480196 loss_dfl: 0.427066 loss: 1.862366 eta: 17:47:05 batch_cost: 0.7569 data_cost: 0.0013 ips: 52.8472 images/s
[07/28 19:26:49] ppdet.engine INFO: Epoch: [216] [180/732] learning_rate: 0.033668 loss_vfl: 0.907462 loss_bbox: 0.439861 loss_dfl: 0.398293 loss: 1.748174 eta: 17:46:41 batch_cost: 0.7411 data_cost: 0.0018 ips: 53.9716 images/s
[07/28 19:27:07] ppdet.engine INFO: Epoch: [216] [200/732] learning_rate: 0.033651 loss_vfl: 0.955268 loss_bbox: 0.453112 loss_dfl: 0.427936 loss: 1.840880 eta: 17:46:18 batch_cost: 0.7497 data_cost: 0.0009 ips: 53.3522 images/s
[07/28 19:27:24] ppdet.engine INFO: Epoch: [216] [220/732] learning_rate: 0.033634 loss_vfl: 0.910183 loss_bbox: 0.460483 loss_dfl: 0.412513 loss: 1.739094 eta: 17:45:55 batch_cost: 0.7007 data_cost: 0.0015 ips: 57.0875 images/s
[07/28 19:27:41] ppdet.engine INFO: Epoch: [216] [240/732] learning_rate: 0.033616 loss_vfl: 0.932947 loss_bbox: 0.461534 loss_dfl: 0.421842 loss: 1.826442 eta: 17:45:32 batch_cost: 0.7458 data_cost: 0.0013 ips: 53.6330 images/s
[07/28 19:27:58] ppdet.engine INFO: Epoch: [216] [260/732] learning_rate: 0.033599 loss_vfl: 0.898709 loss_bbox: 0.420029 loss_dfl: 0.401816 loss: 1.722362 eta: 17:45:08 batch_cost: 0.6669 data_cost: 0.0009 ips: 59.9832 images/s
[07/28 19:28:16] ppdet.engine INFO: Epoch: [216] [280/732] learning_rate: 0.033582 loss_vfl: 0.909423 loss_bbox: 0.476595 loss_dfl: 0.426853 loss: 1.825307 eta: 17:44:45 batch_cost: 0.7515 data_cost: 0.0012 ips: 53.2292 images/s
[07/28 19:28:33] ppdet.engine INFO: Epoch: [216] [300/732] learning_rate: 0.033564 loss_vfl: 0.878308 loss_bbox: 0.423477 loss_dfl: 0.394512 loss: 1.700803 eta: 17:44:21 batch_cost: 0.7340 data_cost: 0.0010 ips: 54.4937 images/s
[07/28 19:28:50] ppdet.engine INFO: Epoch: [216] [320/732] learning_rate: 0.033547 loss_vfl: 0.925955 loss_bbox: 0.455297 loss_dfl: 0.425646 loss: 1.808807 eta: 17:43:58 batch_cost: 0.6763 data_cost: 0.0020 ips: 59.1412 images/s
[07/28 19:29:06] ppdet.engine INFO: Epoch: [216] [340/732] learning_rate: 0.033530 loss_vfl: 0.943441 loss_bbox: 0.465491 loss_dfl: 0.432267 loss: 1.841198 eta: 17:43:34 batch_cost: 0.6859 data_cost: 0.0020 ips: 58.3182 images/s
[07/28 19:29:22] ppdet.engine INFO: Epoch: [216] [360/732] learning_rate: 0.033512 loss_vfl: 0.855749 loss_bbox: 0.404205 loss_dfl: 0.373098 loss: 1.610818 eta: 17:43:10 batch_cost: 0.6890 data_cost: 0.0015 ips: 58.0510 images/s
[07/28 19:29:40] ppdet.engine INFO: Epoch: [216] [380/732] learning_rate: 0.033495 loss_vfl: 0.970519 loss_bbox: 0.454188 loss_dfl: 0.429055 loss: 1.863560 eta: 17:42:47 batch_cost: 0.7363 data_cost: 0.0010 ips: 54.3288 images/s
[07/28 19:29:56] ppdet.engine INFO: Epoch: [216] [400/732] learning_rate: 0.033478 loss_vfl: 0.957093 loss_bbox: 0.458780 loss_dfl: 0.417679 loss: 1.853497 eta: 17:42:23 batch_cost: 0.6501 data_cost: 0.0033 ips: 61.5271 images/s
[07/28 19:30:12] ppdet.engine INFO: Epoch: [216] [420/732] learning_rate: 0.033460 loss_vfl: 0.939233 loss_bbox: 0.461543 loss_dfl: 0.428064 loss: 1.822627 eta: 17:42:00 batch_cost: 0.6788 data_cost: 0.0016 ips: 58.9259 images/s
[07/28 19:30:28] ppdet.engine INFO: Epoch: [216] [440/732] learning_rate: 0.033443 loss_vfl: 0.967753 loss_bbox: 0.466279 loss_dfl: 0.421740 loss: 1.859484 eta: 17:41:36 batch_cost: 0.6521 data_cost: 0.0014 ips: 61.3428 images/s
[07/28 19:30:45] ppdet.engine INFO: Epoch: [216] [460/732] learning_rate: 0.033426 loss_vfl: 0.945100 loss_bbox: 0.469575 loss_dfl: 0.424959 loss: 1.849046 eta: 17:41:12 batch_cost: 0.7144 data_cost: 0.0003 ips: 55.9938 images/s
[07/28 19:31:02] ppdet.engine INFO: Epoch: [216] [480/732] learning_rate: 0.033409 loss_vfl: 0.899801 loss_bbox: 0.450443 loss_dfl: 0.393157 loss: 1.717488 eta: 17:40:49 batch_cost: 0.7336 data_cost: 0.0007 ips: 54.5220 images/s
[07/28 19:31:18] ppdet.engine INFO: Epoch: [216] [500/732] learning_rate: 0.033391 loss_vfl: 0.956659 loss_bbox: 0.438398 loss_dfl: 0.417608 loss: 1.825954 eta: 17:40:25 batch_cost: 0.6590 data_cost: 0.0019 ips: 60.6998 images/s
[07/28 19:31:35] ppdet.engine INFO: Epoch: [216] [520/732] learning_rate: 0.033374 loss_vfl: 0.922918 loss_bbox: 0.456042 loss_dfl: 0.422597 loss: 1.820944 eta: 17:40:02 batch_cost: 0.7001 data_cost: 0.0015 ips: 57.1311 images/s
[07/28 19:31:52] ppdet.engine INFO: Epoch: [216] [540/732] learning_rate: 0.033357 loss_vfl: 0.943250 loss_bbox: 0.465189 loss_dfl: 0.416530 loss: 1.845920 eta: 17:39:38 batch_cost: 0.6630 data_cost: 0.0021 ips: 60.3355 images/s
[07/28 19:32:08] ppdet.engine INFO: Epoch: [216] [560/732] learning_rate: 0.033340 loss_vfl: 0.943558 loss_bbox: 0.448329 loss_dfl: 0.403285 loss: 1.783835 eta: 17:39:14 batch_cost: 0.6647 data_cost: 0.0023 ips: 60.1800 images/s
[07/28 19:32:24] ppdet.engine INFO: Epoch: [216] [580/732] learning_rate: 0.033323 loss_vfl: 0.897437 loss_bbox: 0.434452 loss_dfl: 0.398880 loss: 1.737833 eta: 17:38:51 batch_cost: 0.6958 data_cost: 0.0017 ips: 57.4898 images/s
[07/28 19:32:41] ppdet.engine INFO: Epoch: [216] [600/732] learning_rate: 0.033305 loss_vfl: 0.888823 loss_bbox: 0.431739 loss_dfl: 0.411428 loss: 1.750344 eta: 17:38:27 batch_cost: 0.7173 data_cost: 0.0043 ips: 55.7630 images/s
[07/28 19:32:59] ppdet.engine INFO: Epoch: [216] [620/732] learning_rate: 0.033288 loss_vfl: 0.945339 loss_bbox: 0.444705 loss_dfl: 0.406080 loss: 1.791142 eta: 17:38:04 batch_cost: 0.7339 data_cost: 0.0003 ips: 54.5056 images/s
[07/28 19:33:16] ppdet.engine INFO: Epoch: [216] [640/732] learning_rate: 0.033271 loss_vfl: 0.908902 loss_bbox: 0.442643 loss_dfl: 0.413890 loss: 1.780694 eta: 17:37:41 batch_cost: 0.6959 data_cost: 0.0010 ips: 57.4827 images/s
[07/28 19:33:33] ppdet.engine INFO: Epoch: [216] [660/732] learning_rate: 0.033254 loss_vfl: 0.938212 loss_bbox: 0.451382 loss_dfl: 0.414403 loss: 1.779706 eta: 17:37:17 batch_cost: 0.7047 data_cost: 0.0011 ips: 56.7621 images/s
[07/28 19:33:50] ppdet.engine INFO: Epoch: [216] [680/732] learning_rate: 0.033237 loss_vfl: 0.919313 loss_bbox: 0.439279 loss_dfl: 0.411763 loss: 1.776117 eta: 17:36:53 batch_cost: 0.6911 data_cost: 0.0031 ips: 57.8813 images/s
[07/28 19:34:07] ppdet.engine INFO: Epoch: [216] [700/732] learning_rate: 0.033219 loss_vfl: 0.948484 loss_bbox: 0.447558 loss_dfl: 0.419707 loss: 1.828341 eta: 17:36:30 batch_cost: 0.7569 data_cost: 0.0003 ips: 52.8453 images/s
[07/28 19:34:24] ppdet.engine INFO: Epoch: [216] [720/732] learning_rate: 0.033202 loss_vfl: 0.982172 loss_bbox: 0.463570 loss_dfl: 0.440479 loss: 1.903881 eta: 17:36:07 batch_cost: 0.7081 data_cost: 0.0004 ips: 56.4898 images/s
[07/28 19:34:38] ppdet.engine INFO: Epoch: [217] [  0/732] learning_rate: 0.033192 loss_vfl: 0.922389 loss_bbox: 0.455332 loss_dfl: 0.419932 loss: 1.822479 eta: 17:35:54 batch_cost: 0.8592 data_cost: 0.2353 ips: 46.5535 images/s
[07/28 19:34:58] ppdet.engine INFO: Epoch: [217] [ 20/732] learning_rate: 0.033175 loss_vfl: 0.893233 loss_bbox: 0.437752 loss_dfl: 0.400103 loss: 1.727117 eta: 17:35:32 batch_cost: 0.8894 data_cost: 0.0007 ips: 44.9742 images/s
[07/28 19:35:15] ppdet.engine INFO: Epoch: [217] [ 40/732] learning_rate: 0.033158 loss_vfl: 0.936851 loss_bbox: 0.473504 loss_dfl: 0.418397 loss: 1.821463 eta: 17:35:09 batch_cost: 0.6949 data_cost: 0.0003 ips: 57.5587 images/s
[07/28 19:35:32] ppdet.engine INFO: Epoch: [217] [ 60/732] learning_rate: 0.033141 loss_vfl: 0.913763 loss_bbox: 0.448031 loss_dfl: 0.411185 loss: 1.773553 eta: 17:34:45 batch_cost: 0.7366 data_cost: 0.0009 ips: 54.3051 images/s
[07/28 19:35:50] ppdet.engine INFO: Epoch: [217] [ 80/732] learning_rate: 0.033123 loss_vfl: 0.882141 loss_bbox: 0.417987 loss_dfl: 0.387319 loss: 1.694090 eta: 17:34:22 batch_cost: 0.7023 data_cost: 0.0014 ips: 56.9550 images/s
[07/28 19:36:06] ppdet.engine INFO: Epoch: [217] [100/732] learning_rate: 0.033106 loss_vfl: 0.912039 loss_bbox: 0.422451 loss_dfl: 0.396511 loss: 1.735444 eta: 17:33:58 batch_cost: 0.6748 data_cost: 0.0003 ips: 59.2781 images/s
[07/28 19:36:23] ppdet.engine INFO: Epoch: [217] [120/732] learning_rate: 0.033089 loss_vfl: 0.961632 loss_bbox: 0.451751 loss_dfl: 0.415910 loss: 1.830653 eta: 17:33:35 batch_cost: 0.6972 data_cost: 0.0024 ips: 57.3750 images/s
[07/28 19:36:41] ppdet.engine INFO: Epoch: [217] [140/732] learning_rate: 0.033072 loss_vfl: 0.864966 loss_bbox: 0.419887 loss_dfl: 0.391864 loss: 1.697412 eta: 17:33:11 batch_cost: 0.7047 data_cost: 0.0025 ips: 56.7623 images/s
[07/28 19:36:58] ppdet.engine INFO: Epoch: [217] [160/732] learning_rate: 0.033055 loss_vfl: 1.004141 loss_bbox: 0.477053 loss_dfl: 0.445770 loss: 1.947912 eta: 17:32:48 batch_cost: 0.7270 data_cost: 0.0031 ips: 55.0176 images/s
[07/28 19:37:14] ppdet.engine INFO: Epoch: [217] [180/732] learning_rate: 0.033038 loss_vfl: 0.931344 loss_bbox: 0.447072 loss_dfl: 0.414843 loss: 1.803357 eta: 17:32:25 batch_cost: 0.6981 data_cost: 0.0018 ips: 57.2981 images/s
[07/28 19:37:31] ppdet.engine INFO: Epoch: [217] [200/732] learning_rate: 0.033021 loss_vfl: 0.938482 loss_bbox: 0.459259 loss_dfl: 0.430475 loss: 1.830714 eta: 17:32:01 batch_cost: 0.6497 data_cost: 0.0008 ips: 61.5637 images/s
[07/28 19:37:47] ppdet.engine INFO: Epoch: [217] [220/732] learning_rate: 0.033004 loss_vfl: 0.968702 loss_bbox: 0.482044 loss_dfl: 0.435948 loss: 1.893623 eta: 17:31:37 batch_cost: 0.6527 data_cost: 0.0034 ips: 61.2832 images/s
[07/28 19:38:03] ppdet.engine INFO: Epoch: [217] [240/732] learning_rate: 0.032987 loss_vfl: 0.905374 loss_bbox: 0.422930 loss_dfl: 0.385135 loss: 1.702348 eta: 17:31:13 batch_cost: 0.6750 data_cost: 0.0018 ips: 59.2552 images/s
[07/28 19:38:18] ppdet.engine INFO: Epoch: [217] [260/732] learning_rate: 0.032970 loss_vfl: 0.920743 loss_bbox: 0.439463 loss_dfl: 0.406555 loss: 1.776878 eta: 17:30:49 batch_cost: 0.6013 data_cost: 0.0045 ips: 66.5259 images/s
[07/28 19:38:35] ppdet.engine INFO: Epoch: [217] [280/732] learning_rate: 0.032953 loss_vfl: 0.945636 loss_bbox: 0.451311 loss_dfl: 0.429816 loss: 1.828517 eta: 17:30:25 batch_cost: 0.6516 data_cost: 0.0048 ips: 61.3873 images/s
[07/28 19:38:52] ppdet.engine INFO: Epoch: [217] [300/732] learning_rate: 0.032936 loss_vfl: 0.922809 loss_bbox: 0.464925 loss_dfl: 0.404796 loss: 1.790318 eta: 17:30:02 batch_cost: 0.7164 data_cost: 0.0018 ips: 55.8378 images/s
[07/28 19:39:09] ppdet.engine INFO: Epoch: [217] [320/732] learning_rate: 0.032918 loss_vfl: 1.008263 loss_bbox: 0.485953 loss_dfl: 0.458461 loss: 1.939624 eta: 17:29:39 batch_cost: 0.7241 data_cost: 0.0027 ips: 55.2396 images/s
[07/28 19:39:24] ppdet.engine INFO: Epoch: [217] [340/732] learning_rate: 0.032901 loss_vfl: 0.886347 loss_bbox: 0.433901 loss_dfl: 0.393808 loss: 1.701910 eta: 17:29:15 batch_cost: 0.6188 data_cost: 0.0018 ips: 64.6436 images/s
[07/28 19:39:40] ppdet.engine INFO: Epoch: [217] [360/732] learning_rate: 0.032884 loss_vfl: 0.897633 loss_bbox: 0.449397 loss_dfl: 0.408724 loss: 1.734241 eta: 17:28:51 batch_cost: 0.6489 data_cost: 0.0026 ips: 61.6446 images/s
[07/28 19:39:56] ppdet.engine INFO: Epoch: [217] [380/732] learning_rate: 0.032867 loss_vfl: 0.917353 loss_bbox: 0.448492 loss_dfl: 0.422207 loss: 1.792457 eta: 17:28:27 batch_cost: 0.6782 data_cost: 0.0010 ips: 58.9768 images/s
[07/28 19:40:13] ppdet.engine INFO: Epoch: [217] [400/732] learning_rate: 0.032850 loss_vfl: 0.956142 loss_bbox: 0.470519 loss_dfl: 0.423372 loss: 1.842828 eta: 17:28:04 batch_cost: 0.6900 data_cost: 0.0003 ips: 57.9684 images/s
[07/28 19:40:29] ppdet.engine INFO: Epoch: [217] [420/732] learning_rate: 0.032833 loss_vfl: 0.909065 loss_bbox: 0.418973 loss_dfl: 0.405836 loss: 1.764761 eta: 17:27:40 batch_cost: 0.6690 data_cost: 0.0017 ips: 59.7923 images/s
[07/28 19:40:46] ppdet.engine INFO: Epoch: [217] [440/732] learning_rate: 0.032816 loss_vfl: 0.907224 loss_bbox: 0.453052 loss_dfl: 0.408920 loss: 1.769196 eta: 17:27:17 batch_cost: 0.6960 data_cost: 0.0014 ips: 57.4685 images/s
[07/28 19:41:02] ppdet.engine INFO: Epoch: [217] [460/732] learning_rate: 0.032799 loss_vfl: 0.909897 loss_bbox: 0.439666 loss_dfl: 0.409495 loss: 1.750467 eta: 17:26:53 batch_cost: 0.6529 data_cost: 0.0009 ips: 61.2646 images/s
[07/28 19:41:19] ppdet.engine INFO: Epoch: [217] [480/732] learning_rate: 0.032783 loss_vfl: 0.931235 loss_bbox: 0.458877 loss_dfl: 0.416469 loss: 1.806576 eta: 17:26:30 batch_cost: 0.7231 data_cost: 0.0024 ips: 55.3182 images/s
[07/28 19:41:36] ppdet.engine INFO: Epoch: [217] [500/732] learning_rate: 0.032766 loss_vfl: 0.915565 loss_bbox: 0.425729 loss_dfl: 0.411992 loss: 1.768312 eta: 17:26:06 batch_cost: 0.6733 data_cost: 0.0019 ips: 59.4127 images/s
[07/28 19:41:54] ppdet.engine INFO: Epoch: [217] [520/732] learning_rate: 0.032749 loss_vfl: 0.909707 loss_bbox: 0.438010 loss_dfl: 0.406080 loss: 1.764893 eta: 17:25:43 batch_cost: 0.7403 data_cost: 0.0008 ips: 54.0342 images/s
[07/28 19:42:10] ppdet.engine INFO: Epoch: [217] [540/732] learning_rate: 0.032732 loss_vfl: 0.888499 loss_bbox: 0.436799 loss_dfl: 0.387859 loss: 1.741099 eta: 17:25:19 batch_cost: 0.6723 data_cost: 0.0003 ips: 59.4957 images/s
[07/28 19:42:28] ppdet.engine INFO: Epoch: [217] [560/732] learning_rate: 0.032715 loss_vfl: 0.918690 loss_bbox: 0.449953 loss_dfl: 0.416320 loss: 1.810831 eta: 17:24:56 batch_cost: 0.7399 data_cost: 0.0007 ips: 54.0640 images/s
[07/28 19:42:43] ppdet.engine INFO: Epoch: [217] [580/732] learning_rate: 0.032698 loss_vfl: 0.922270 loss_bbox: 0.455867 loss_dfl: 0.410377 loss: 1.774548 eta: 17:24:32 batch_cost: 0.6691 data_cost: 0.0003 ips: 59.7781 images/s
[07/28 19:42:59] ppdet.engine INFO: Epoch: [217] [600/732] learning_rate: 0.032681 loss_vfl: 0.947983 loss_bbox: 0.455448 loss_dfl: 0.418610 loss: 1.828606 eta: 17:24:09 batch_cost: 0.6370 data_cost: 0.0041 ips: 62.7900 images/s
[07/28 19:43:14] ppdet.engine INFO: Epoch: [217] [620/732] learning_rate: 0.032664 loss_vfl: 0.997318 loss_bbox: 0.468112 loss_dfl: 0.444720 loss: 1.890654 eta: 17:23:45 batch_cost: 0.6399 data_cost: 0.0016 ips: 62.5080 images/s
[07/28 19:43:30] ppdet.engine INFO: Epoch: [217] [640/732] learning_rate: 0.032647 loss_vfl: 0.918137 loss_bbox: 0.454934 loss_dfl: 0.411001 loss: 1.779284 eta: 17:23:21 batch_cost: 0.6209 data_cost: 0.0007 ips: 64.4205 images/s
[07/28 19:43:46] ppdet.engine INFO: Epoch: [217] [660/732] learning_rate: 0.032630 loss_vfl: 0.848911 loss_bbox: 0.408746 loss_dfl: 0.374969 loss: 1.629745 eta: 17:22:57 batch_cost: 0.6767 data_cost: 0.0019 ips: 59.1070 images/s
[07/28 19:44:02] ppdet.engine INFO: Epoch: [217] [680/732] learning_rate: 0.032613 loss_vfl: 0.908443 loss_bbox: 0.458613 loss_dfl: 0.416418 loss: 1.770558 eta: 17:22:33 batch_cost: 0.6177 data_cost: 0.0009 ips: 64.7595 images/s
[07/28 19:44:19] ppdet.engine INFO: Epoch: [217] [700/732] learning_rate: 0.032596 loss_vfl: 0.990616 loss_bbox: 0.468678 loss_dfl: 0.424206 loss: 1.896470 eta: 17:22:10 batch_cost: 0.6673 data_cost: 0.0016 ips: 59.9387 images/s
[07/28 19:44:36] ppdet.engine INFO: Epoch: [217] [720/732] learning_rate: 0.032579 loss_vfl: 0.961238 loss_bbox: 0.468213 loss_dfl: 0.428988 loss: 1.849475 eta: 17:21:46 batch_cost: 0.7377 data_cost: 0.0018 ips: 54.2236 images/s
[07/28 19:44:51] ppdet.engine INFO: Epoch: [218] [  0/732] learning_rate: 0.032569 loss_vfl: 0.964524 loss_bbox: 0.466172 loss_dfl: 0.436956 loss: 1.863149 eta: 17:21:34 batch_cost: 0.9557 data_cost: 0.2440 ips: 41.8548 images/s
[07/28 19:45:10] ppdet.engine INFO: Epoch: [218] [ 20/732] learning_rate: 0.032552 loss_vfl: 0.945932 loss_bbox: 0.441431 loss_dfl: 0.424761 loss: 1.810610 eta: 17:21:11 batch_cost: 0.7706 data_cost: 0.0011 ips: 51.9079 images/s
[07/28 19:45:27] ppdet.engine INFO: Epoch: [218] [ 40/732] learning_rate: 0.032536 loss_vfl: 0.928815 loss_bbox: 0.440587 loss_dfl: 0.410850 loss: 1.803647 eta: 17:20:48 batch_cost: 0.6828 data_cost: 0.0012 ips: 58.5827 images/s
[07/28 19:45:44] ppdet.engine INFO: Epoch: [218] [ 60/732] learning_rate: 0.032519 loss_vfl: 0.911884 loss_bbox: 0.466296 loss_dfl: 0.415193 loss: 1.800591 eta: 17:20:24 batch_cost: 0.7147 data_cost: 0.0003 ips: 55.9645 images/s
[07/28 19:46:01] ppdet.engine INFO: Epoch: [218] [ 80/732] learning_rate: 0.032502 loss_vfl: 0.984175 loss_bbox: 0.458997 loss_dfl: 0.424379 loss: 1.882699 eta: 17:20:01 batch_cost: 0.7038 data_cost: 0.0042 ips: 56.8330 images/s
[07/28 19:46:17] ppdet.engine INFO: Epoch: [218] [100/732] learning_rate: 0.032485 loss_vfl: 0.940466 loss_bbox: 0.452165 loss_dfl: 0.407726 loss: 1.786565 eta: 17:19:37 batch_cost: 0.6802 data_cost: 0.0007 ips: 58.8042 images/s
[07/28 19:46:32] ppdet.engine INFO: Epoch: [218] [120/732] learning_rate: 0.032468 loss_vfl: 0.906687 loss_bbox: 0.434600 loss_dfl: 0.405942 loss: 1.776253 eta: 17:19:13 batch_cost: 0.5927 data_cost: 0.0014 ips: 67.4876 images/s
[07/28 19:46:49] ppdet.engine INFO: Epoch: [218] [140/732] learning_rate: 0.032451 loss_vfl: 0.960040 loss_bbox: 0.461336 loss_dfl: 0.430284 loss: 1.862810 eta: 17:18:50 batch_cost: 0.6653 data_cost: 0.0021 ips: 60.1251 images/s
[07/28 19:47:05] ppdet.engine INFO: Epoch: [218] [160/732] learning_rate: 0.032435 loss_vfl: 0.935224 loss_bbox: 0.450151 loss_dfl: 0.418078 loss: 1.811197 eta: 17:18:26 batch_cost: 0.6748 data_cost: 0.0003 ips: 59.2740 images/s
[07/28 19:47:20] ppdet.engine INFO: Epoch: [218] [180/732] learning_rate: 0.032418 loss_vfl: 0.892824 loss_bbox: 0.439991 loss_dfl: 0.407112 loss: 1.730655 eta: 17:18:02 batch_cost: 0.6470 data_cost: 0.0011 ips: 61.8206 images/s
[07/28 19:47:37] ppdet.engine INFO: Epoch: [218] [200/732] learning_rate: 0.032401 loss_vfl: 0.882570 loss_bbox: 0.443069 loss_dfl: 0.404378 loss: 1.726736 eta: 17:17:39 batch_cost: 0.7483 data_cost: 0.0005 ips: 53.4568 images/s
[07/28 19:47:53] ppdet.engine INFO: Epoch: [218] [220/732] learning_rate: 0.032384 loss_vfl: 0.914675 loss_bbox: 0.447548 loss_dfl: 0.408251 loss: 1.771378 eta: 17:17:16 batch_cost: 0.6613 data_cost: 0.0013 ips: 60.4858 images/s
[07/28 19:48:09] ppdet.engine INFO: Epoch: [218] [240/732] learning_rate: 0.032367 loss_vfl: 0.944862 loss_bbox: 0.464612 loss_dfl: 0.419181 loss: 1.824967 eta: 17:16:52 batch_cost: 0.6241 data_cost: 0.0053 ips: 64.0905 images/s
[07/28 19:48:25] ppdet.engine INFO: Epoch: [218] [260/732] learning_rate: 0.032351 loss_vfl: 0.919392 loss_bbox: 0.429919 loss_dfl: 0.404150 loss: 1.747735 eta: 17:16:28 batch_cost: 0.6967 data_cost: 0.0037 ips: 57.4109 images/s
[07/28 19:48:44] ppdet.engine INFO: Epoch: [218] [280/732] learning_rate: 0.032334 loss_vfl: 0.948027 loss_bbox: 0.455660 loss_dfl: 0.423094 loss: 1.808064 eta: 17:16:06 batch_cost: 0.7871 data_cost: 0.0009 ips: 50.8166 images/s
[07/28 19:48:59] ppdet.engine INFO: Epoch: [218] [300/732] learning_rate: 0.032317 loss_vfl: 0.918261 loss_bbox: 0.443608 loss_dfl: 0.404270 loss: 1.770013 eta: 17:15:42 batch_cost: 0.6251 data_cost: 0.0025 ips: 63.9927 images/s
[07/28 19:49:17] ppdet.engine INFO: Epoch: [218] [320/732] learning_rate: 0.032300 loss_vfl: 0.988602 loss_bbox: 0.479126 loss_dfl: 0.449170 loss: 1.932186 eta: 17:15:19 batch_cost: 0.7206 data_cost: 0.0039 ips: 55.5125 images/s
[07/28 19:49:33] ppdet.engine INFO: Epoch: [218] [340/732] learning_rate: 0.032284 loss_vfl: 0.892475 loss_bbox: 0.434050 loss_dfl: 0.399468 loss: 1.718359 eta: 17:14:55 batch_cost: 0.7218 data_cost: 0.0014 ips: 55.4149 images/s
[07/28 19:49:50] ppdet.engine INFO: Epoch: [218] [360/732] learning_rate: 0.032267 loss_vfl: 0.874266 loss_bbox: 0.434094 loss_dfl: 0.396812 loss: 1.708182 eta: 17:14:32 batch_cost: 0.6526 data_cost: 0.0003 ips: 61.2931 images/s
[07/28 19:50:06] ppdet.engine INFO: Epoch: [218] [380/732] learning_rate: 0.032250 loss_vfl: 0.924860 loss_bbox: 0.437729 loss_dfl: 0.401773 loss: 1.753803 eta: 17:14:08 batch_cost: 0.6640 data_cost: 0.0007 ips: 60.2376 images/s
[07/28 19:50:23] ppdet.engine INFO: Epoch: [218] [400/732] learning_rate: 0.032234 loss_vfl: 0.917219 loss_bbox: 0.448645 loss_dfl: 0.413132 loss: 1.789244 eta: 17:13:45 batch_cost: 0.6942 data_cost: 0.0007 ips: 57.6166 images/s
[07/28 19:50:39] ppdet.engine INFO: Epoch: [218] [420/732] learning_rate: 0.032217 loss_vfl: 0.841311 loss_bbox: 0.405831 loss_dfl: 0.378536 loss: 1.632216 eta: 17:13:21 batch_cost: 0.7142 data_cost: 0.0013 ips: 56.0079 images/s
[07/28 19:50:56] ppdet.engine INFO: Epoch: [218] [440/732] learning_rate: 0.032200 loss_vfl: 0.930867 loss_bbox: 0.436612 loss_dfl: 0.406401 loss: 1.764355 eta: 17:12:58 batch_cost: 0.6939 data_cost: 0.0039 ips: 57.6473 images/s
[07/28 19:51:12] ppdet.engine INFO: Epoch: [218] [460/732] learning_rate: 0.032183 loss_vfl: 0.883898 loss_bbox: 0.427158 loss_dfl: 0.389995 loss: 1.691877 eta: 17:12:34 batch_cost: 0.6328 data_cost: 0.0013 ips: 63.2156 images/s
[07/28 19:51:29] ppdet.engine INFO: Epoch: [218] [480/732] learning_rate: 0.032167 loss_vfl: 0.859461 loss_bbox: 0.424099 loss_dfl: 0.402247 loss: 1.660500 eta: 17:12:11 batch_cost: 0.6758 data_cost: 0.0003 ips: 59.1881 images/s
[07/28 19:51:45] ppdet.engine INFO: Epoch: [218] [500/732] learning_rate: 0.032150 loss_vfl: 0.924147 loss_bbox: 0.449084 loss_dfl: 0.422971 loss: 1.788866 eta: 17:11:47 batch_cost: 0.6753 data_cost: 0.0033 ips: 59.2312 images/s
[07/28 19:52:01] ppdet.engine INFO: Epoch: [218] [520/732] learning_rate: 0.032133 loss_vfl: 0.906342 loss_bbox: 0.427308 loss_dfl: 0.393921 loss: 1.723867 eta: 17:11:24 batch_cost: 0.6639 data_cost: 0.0015 ips: 60.2513 images/s
[07/28 19:52:17] ppdet.engine INFO: Epoch: [218] [540/732] learning_rate: 0.032117 loss_vfl: 0.948004 loss_bbox: 0.436879 loss_dfl: 0.411209 loss: 1.798826 eta: 17:11:00 batch_cost: 0.6594 data_cost: 0.0009 ips: 60.6603 images/s
[07/28 19:52:33] ppdet.engine INFO: Epoch: [218] [560/732] learning_rate: 0.032100 loss_vfl: 0.845512 loss_bbox: 0.412768 loss_dfl: 0.377370 loss: 1.635650 eta: 17:10:36 batch_cost: 0.6623 data_cost: 0.0013 ips: 60.3969 images/s
[07/28 19:52:50] ppdet.engine INFO: Epoch: [218] [580/732] learning_rate: 0.032083 loss_vfl: 0.925608 loss_bbox: 0.430048 loss_dfl: 0.412692 loss: 1.770899 eta: 17:10:13 batch_cost: 0.7004 data_cost: 0.0023 ips: 57.1092 images/s
[07/28 19:53:06] ppdet.engine INFO: Epoch: [218] [600/732] learning_rate: 0.032067 loss_vfl: 0.926887 loss_bbox: 0.474084 loss_dfl: 0.432499 loss: 1.844884 eta: 17:09:50 batch_cost: 0.6837 data_cost: 0.0034 ips: 58.5051 images/s
[07/28 19:53:22] ppdet.engine INFO: Epoch: [218] [620/732] learning_rate: 0.032050 loss_vfl: 0.932523 loss_bbox: 0.438536 loss_dfl: 0.404350 loss: 1.780986 eta: 17:09:26 batch_cost: 0.6741 data_cost: 0.0009 ips: 59.3395 images/s
[07/28 19:53:38] ppdet.engine INFO: Epoch: [218] [640/732] learning_rate: 0.032033 loss_vfl: 0.913060 loss_bbox: 0.464788 loss_dfl: 0.421409 loss: 1.803307 eta: 17:09:03 batch_cost: 0.6805 data_cost: 0.0003 ips: 58.7782 images/s
[07/28 19:53:55] ppdet.engine INFO: Epoch: [218] [660/732] learning_rate: 0.032017 loss_vfl: 0.883798 loss_bbox: 0.421579 loss_dfl: 0.400482 loss: 1.705207 eta: 17:08:40 batch_cost: 0.7334 data_cost: 0.0012 ips: 54.5413 images/s
[07/28 19:54:12] ppdet.engine INFO: Epoch: [218] [680/732] learning_rate: 0.032000 loss_vfl: 0.918319 loss_bbox: 0.447907 loss_dfl: 0.405785 loss: 1.765303 eta: 17:08:16 batch_cost: 0.6816 data_cost: 0.0016 ips: 58.6813 images/s
[07/28 19:54:29] ppdet.engine INFO: Epoch: [218] [700/732] learning_rate: 0.031984 loss_vfl: 0.935081 loss_bbox: 0.469280 loss_dfl: 0.416540 loss: 1.806951 eta: 17:07:53 batch_cost: 0.7267 data_cost: 0.0009 ips: 55.0402 images/s
[07/28 19:54:45] ppdet.engine INFO: Epoch: [218] [720/732] learning_rate: 0.031967 loss_vfl: 0.957951 loss_bbox: 0.447258 loss_dfl: 0.411985 loss: 1.782512 eta: 17:07:29 batch_cost: 0.6713 data_cost: 0.0111 ips: 59.5862 images/s
[07/28 19:54:59] ppdet.engine INFO: Epoch: [219] [  0/732] learning_rate: 0.031957 loss_vfl: 0.915775 loss_bbox: 0.452514 loss_dfl: 0.405164 loss: 1.755872 eta: 17:07:17 batch_cost: 0.8564 data_cost: 0.2576 ips: 46.7097 images/s
[07/28 19:55:19] ppdet.engine INFO: Epoch: [219] [ 20/732] learning_rate: 0.031941 loss_vfl: 0.975460 loss_bbox: 0.417091 loss_dfl: 0.402458 loss: 1.784740 eta: 17:06:55 batch_cost: 0.8607 data_cost: 0.0011 ips: 46.4741 images/s
[07/28 19:55:37] ppdet.engine INFO: Epoch: [219] [ 40/732] learning_rate: 0.031924 loss_vfl: 0.936530 loss_bbox: 0.450055 loss_dfl: 0.425864 loss: 1.840728 eta: 17:06:32 batch_cost: 0.7607 data_cost: 0.0019 ips: 52.5831 images/s
[07/28 19:55:54] ppdet.engine INFO: Epoch: [219] [ 60/732] learning_rate: 0.031907 loss_vfl: 0.914871 loss_bbox: 0.462752 loss_dfl: 0.417818 loss: 1.798175 eta: 17:06:08 batch_cost: 0.7049 data_cost: 0.0010 ips: 56.7470 images/s
[07/28 19:56:11] ppdet.engine INFO: Epoch: [219] [ 80/732] learning_rate: 0.031891 loss_vfl: 0.914564 loss_bbox: 0.442296 loss_dfl: 0.404755 loss: 1.734799 eta: 17:05:45 batch_cost: 0.7077 data_cost: 0.0006 ips: 56.5183 images/s
[07/28 19:56:28] ppdet.engine INFO: Epoch: [219] [100/732] learning_rate: 0.031874 loss_vfl: 0.919843 loss_bbox: 0.434770 loss_dfl: 0.407305 loss: 1.750996 eta: 17:05:22 batch_cost: 0.7291 data_cost: 0.0010 ips: 54.8597 images/s
[07/28 19:56:44] ppdet.engine INFO: Epoch: [219] [120/732] learning_rate: 0.031858 loss_vfl: 0.873330 loss_bbox: 0.426873 loss_dfl: 0.395366 loss: 1.712320 eta: 17:04:58 batch_cost: 0.6314 data_cost: 0.0013 ips: 63.3538 images/s
[07/28 19:57:01] ppdet.engine INFO: Epoch: [219] [140/732] learning_rate: 0.031841 loss_vfl: 0.875160 loss_bbox: 0.432241 loss_dfl: 0.398211 loss: 1.695488 eta: 17:04:35 batch_cost: 0.7001 data_cost: 0.0003 ips: 57.1382 images/s
[07/28 19:57:18] ppdet.engine INFO: Epoch: [219] [160/732] learning_rate: 0.031825 loss_vfl: 0.980566 loss_bbox: 0.460402 loss_dfl: 0.437820 loss: 1.868267 eta: 17:04:12 batch_cost: 0.6923 data_cost: 0.0023 ips: 57.7786 images/s
[07/28 19:57:34] ppdet.engine INFO: Epoch: [219] [180/732] learning_rate: 0.031808 loss_vfl: 0.920135 loss_bbox: 0.459947 loss_dfl: 0.409552 loss: 1.799453 eta: 17:03:48 batch_cost: 0.6297 data_cost: 0.0013 ips: 63.5244 images/s
[07/28 19:57:51] ppdet.engine INFO: Epoch: [219] [200/732] learning_rate: 0.031792 loss_vfl: 0.879555 loss_bbox: 0.443105 loss_dfl: 0.401289 loss: 1.730515 eta: 17:03:25 batch_cost: 0.7129 data_cost: 0.0018 ips: 56.1122 images/s
[07/28 19:58:08] ppdet.engine INFO: Epoch: [219] [220/732] learning_rate: 0.031775 loss_vfl: 0.915165 loss_bbox: 0.440566 loss_dfl: 0.406946 loss: 1.750755 eta: 17:03:01 batch_cost: 0.6838 data_cost: 0.0032 ips: 58.4961 images/s
[07/28 19:58:24] ppdet.engine INFO: Epoch: [219] [240/732] learning_rate: 0.031759 loss_vfl: 0.832183 loss_bbox: 0.401137 loss_dfl: 0.368602 loss: 1.605402 eta: 17:02:38 batch_cost: 0.6905 data_cost: 0.0040 ips: 57.9257 images/s
[07/28 19:58:41] ppdet.engine INFO: Epoch: [219] [260/732] learning_rate: 0.031742 loss_vfl: 0.880267 loss_bbox: 0.438680 loss_dfl: 0.409907 loss: 1.726314 eta: 17:02:15 batch_cost: 0.6698 data_cost: 0.0009 ips: 59.7222 images/s
[07/28 19:58:57] ppdet.engine INFO: Epoch: [219] [280/732] learning_rate: 0.031726 loss_vfl: 0.901795 loss_bbox: 0.447849 loss_dfl: 0.415127 loss: 1.785745 eta: 17:01:51 batch_cost: 0.6857 data_cost: 0.0003 ips: 58.3326 images/s
[07/28 19:59:14] ppdet.engine INFO: Epoch: [219] [300/732] learning_rate: 0.031709 loss_vfl: 0.952228 loss_bbox: 0.488087 loss_dfl: 0.429616 loss: 1.866193 eta: 17:01:28 batch_cost: 0.6636 data_cost: 0.0020 ips: 60.2803 images/s
[07/28 19:59:30] ppdet.engine INFO: Epoch: [219] [320/732] learning_rate: 0.031693 loss_vfl: 0.916716 loss_bbox: 0.461117 loss_dfl: 0.412009 loss: 1.784105 eta: 17:01:04 batch_cost: 0.6304 data_cost: 0.0026 ips: 63.4540 images/s
[07/28 19:59:45] ppdet.engine INFO: Epoch: [219] [340/732] learning_rate: 0.031676 loss_vfl: 0.915724 loss_bbox: 0.463469 loss_dfl: 0.414312 loss: 1.775683 eta: 17:00:40 batch_cost: 0.6416 data_cost: 0.0028 ips: 62.3462 images/s
[07/28 20:00:01] ppdet.engine INFO: Epoch: [219] [360/732] learning_rate: 0.031660 loss_vfl: 0.848658 loss_bbox: 0.424754 loss_dfl: 0.383009 loss: 1.668012 eta: 17:00:17 batch_cost: 0.6740 data_cost: 0.0003 ips: 59.3457 images/s
[07/28 20:00:19] ppdet.engine INFO: Epoch: [219] [380/732] learning_rate: 0.031643 loss_vfl: 0.926537 loss_bbox: 0.432825 loss_dfl: 0.419053 loss: 1.760437 eta: 16:59:54 batch_cost: 0.7362 data_cost: 0.0007 ips: 54.3335 images/s
[07/28 20:00:34] ppdet.engine INFO: Epoch: [219] [400/732] learning_rate: 0.031627 loss_vfl: 0.956839 loss_bbox: 0.457524 loss_dfl: 0.411942 loss: 1.821993 eta: 16:59:30 batch_cost: 0.6365 data_cost: 0.0003 ips: 62.8455 images/s
[07/28 20:00:49] ppdet.engine INFO: Epoch: [219] [420/732] learning_rate: 0.031611 loss_vfl: 0.935673 loss_bbox: 0.437054 loss_dfl: 0.411488 loss: 1.774116 eta: 16:59:06 batch_cost: 0.6283 data_cost: 0.0004 ips: 63.6618 images/s
[07/28 20:01:05] ppdet.engine INFO: Epoch: [219] [440/732] learning_rate: 0.031594 loss_vfl: 0.952968 loss_bbox: 0.441551 loss_dfl: 0.422490 loss: 1.832793 eta: 16:58:42 batch_cost: 0.6389 data_cost: 0.0026 ips: 62.6034 images/s
[07/28 20:01:20] ppdet.engine INFO: Epoch: [219] [460/732] learning_rate: 0.031578 loss_vfl: 0.958960 loss_bbox: 0.465699 loss_dfl: 0.430090 loss: 1.809742 eta: 16:58:19 batch_cost: 0.6570 data_cost: 0.0003 ips: 60.8862 images/s
[07/28 20:01:36] ppdet.engine INFO: Epoch: [219] [480/732] learning_rate: 0.031561 loss_vfl: 0.884042 loss_bbox: 0.430169 loss_dfl: 0.399505 loss: 1.718003 eta: 16:57:55 batch_cost: 0.6522 data_cost: 0.0010 ips: 61.3278 images/s
[07/28 20:01:51] ppdet.engine INFO: Epoch: [219] [500/732] learning_rate: 0.031545 loss_vfl: 0.951468 loss_bbox: 0.478927 loss_dfl: 0.429758 loss: 1.853176 eta: 16:57:31 batch_cost: 0.5814 data_cost: 0.0003 ips: 68.8007 images/s
[07/28 20:02:06] ppdet.engine INFO: Epoch: [219] [520/732] learning_rate: 0.031529 loss_vfl: 0.932464 loss_bbox: 0.452841 loss_dfl: 0.417478 loss: 1.807042 eta: 16:57:07 batch_cost: 0.6084 data_cost: 0.0005 ips: 65.7446 images/s
[07/28 20:02:21] ppdet.engine INFO: Epoch: [219] [540/732] learning_rate: 0.031512 loss_vfl: 0.882633 loss_bbox: 0.419723 loss_dfl: 0.392162 loss: 1.662923 eta: 16:56:43 batch_cost: 0.6065 data_cost: 0.0024 ips: 65.9480 images/s
[07/28 20:02:35] ppdet.engine INFO: Epoch: [219] [560/732] learning_rate: 0.031496 loss_vfl: 0.944662 loss_bbox: 0.443441 loss_dfl: 0.410144 loss: 1.784202 eta: 16:56:19 batch_cost: 0.5657 data_cost: 0.0010 ips: 70.7095 images/s
[07/28 20:02:49] ppdet.engine INFO: Epoch: [219] [580/732] learning_rate: 0.031479 loss_vfl: 0.900009 loss_bbox: 0.431446 loss_dfl: 0.400881 loss: 1.716827 eta: 16:55:55 batch_cost: 0.5996 data_cost: 0.0003 ips: 66.7150 images/s
[07/28 20:03:04] ppdet.engine INFO: Epoch: [219] [600/732] learning_rate: 0.031463 loss_vfl: 0.911903 loss_bbox: 0.437697 loss_dfl: 0.399447 loss: 1.715710 eta: 16:55:31 batch_cost: 0.5785 data_cost: 0.0003 ips: 69.1396 images/s
[07/28 20:03:18] ppdet.engine INFO: Epoch: [219] [620/732] learning_rate: 0.031447 loss_vfl: 0.925401 loss_bbox: 0.438293 loss_dfl: 0.413081 loss: 1.780159 eta: 16:55:07 batch_cost: 0.5877 data_cost: 0.0003 ips: 68.0562 images/s
[07/28 20:03:32] ppdet.engine INFO: Epoch: [219] [640/732] learning_rate: 0.031430 loss_vfl: 0.891293 loss_bbox: 0.421207 loss_dfl: 0.396611 loss: 1.721367 eta: 16:54:43 batch_cost: 0.5711 data_cost: 0.0012 ips: 70.0446 images/s
[07/28 20:03:47] ppdet.engine INFO: Epoch: [219] [660/732] learning_rate: 0.031414 loss_vfl: 0.966366 loss_bbox: 0.453011 loss_dfl: 0.424956 loss: 1.841410 eta: 16:54:19 batch_cost: 0.6085 data_cost: 0.0011 ips: 65.7354 images/s
[07/28 20:04:03] ppdet.engine INFO: Epoch: [219] [680/732] learning_rate: 0.031398 loss_vfl: 0.893365 loss_bbox: 0.429243 loss_dfl: 0.396562 loss: 1.719194 eta: 16:53:56 batch_cost: 0.6798 data_cost: 0.0011 ips: 58.8404 images/s
[07/28 20:04:18] ppdet.engine INFO: Epoch: [219] [700/732] learning_rate: 0.031381 loss_vfl: 0.916126 loss_bbox: 0.433678 loss_dfl: 0.401880 loss: 1.732294 eta: 16:53:32 batch_cost: 0.5814 data_cost: 0.0003 ips: 68.7959 images/s
[07/28 20:04:33] ppdet.engine INFO: Epoch: [219] [720/732] learning_rate: 0.031365 loss_vfl: 0.959939 loss_bbox: 0.453204 loss_dfl: 0.435248 loss: 1.884570 eta: 16:53:08 batch_cost: 0.6104 data_cost: 0.0010 ips: 65.5352 images/s
[07/28 20:04:41] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 20:04:41] ppdet.engine INFO: Eval iter: 0
[07/28 20:04:56] ppdet.engine INFO: Eval iter: 100
[07/28 20:05:06] ppdet.engine INFO: Eval iter: 200
[07/28 20:05:15] ppdet.engine INFO: Eval iter: 300
[07/28 20:05:25] ppdet.engine INFO: Eval iter: 400
[07/28 20:05:34] ppdet.engine INFO: Eval iter: 500
[07/28 20:05:44] ppdet.engine INFO: Eval iter: 600
[07/28 20:06:00] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.93s)
creating index...
index created!
[07/28 20:06:01] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.78s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.79s).
Accumulating evaluation results...
DONE (t=18.27s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.297
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.437
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.315
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.108
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.317
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.458
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.272
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.445
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.475
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.215
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.531
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.708
[07/28 20:08:07] ppdet.engine INFO: Total sample number: 4952, averge FPS: 75.77433796537268
[07/28 20:08:07] ppdet.engine INFO: Best test bbox ap is 0.297.
[07/28 20:08:07] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 20:08:08] ppdet.engine INFO: Epoch: [220] [  0/732] learning_rate: 0.031355 loss_vfl: 0.958323 loss_bbox: 0.451431 loss_dfl: 0.423491 loss: 1.864365 eta: 16:52:53 batch_cost: 0.5287 data_cost: 0.0003 ips: 75.6561 images/s
[07/28 20:08:24] ppdet.engine INFO: Epoch: [220] [ 20/732] learning_rate: 0.031339 loss_vfl: 0.865486 loss_bbox: 0.434363 loss_dfl: 0.410002 loss: 1.727237 eta: 16:52:29 batch_cost: 0.6752 data_cost: 0.0009 ips: 59.2441 images/s
[07/28 20:08:39] ppdet.engine INFO: Epoch: [220] [ 40/732] learning_rate: 0.031323 loss_vfl: 0.936886 loss_bbox: 0.440830 loss_dfl: 0.408464 loss: 1.777738 eta: 16:52:06 batch_cost: 0.6215 data_cost: 0.0003 ips: 64.3609 images/s
[07/28 20:08:55] ppdet.engine INFO: Epoch: [220] [ 60/732] learning_rate: 0.031306 loss_vfl: 1.010668 loss_bbox: 0.495886 loss_dfl: 0.456694 loss: 1.969537 eta: 16:51:42 batch_cost: 0.6461 data_cost: 0.0009 ips: 61.9058 images/s
[07/28 20:09:11] ppdet.engine INFO: Epoch: [220] [ 80/732] learning_rate: 0.031290 loss_vfl: 0.887527 loss_bbox: 0.436527 loss_dfl: 0.398655 loss: 1.728714 eta: 16:51:18 batch_cost: 0.6433 data_cost: 0.0003 ips: 62.1767 images/s
[07/28 20:09:26] ppdet.engine INFO: Epoch: [220] [100/732] learning_rate: 0.031274 loss_vfl: 0.918922 loss_bbox: 0.439306 loss_dfl: 0.424835 loss: 1.814502 eta: 16:50:55 batch_cost: 0.6521 data_cost: 0.0017 ips: 61.3414 images/s
[07/28 20:09:42] ppdet.engine INFO: Epoch: [220] [120/732] learning_rate: 0.031258 loss_vfl: 0.948916 loss_bbox: 0.461972 loss_dfl: 0.423213 loss: 1.849617 eta: 16:50:31 batch_cost: 0.6604 data_cost: 0.0003 ips: 60.5702 images/s
[07/28 20:09:59] ppdet.engine INFO: Epoch: [220] [140/732] learning_rate: 0.031241 loss_vfl: 0.934587 loss_bbox: 0.446986 loss_dfl: 0.412323 loss: 1.782061 eta: 16:50:08 batch_cost: 0.6912 data_cost: 0.0003 ips: 57.8699 images/s
[07/28 20:10:12] ppdet.engine INFO: Epoch: [220] [160/732] learning_rate: 0.031225 loss_vfl: 0.912931 loss_bbox: 0.434057 loss_dfl: 0.404852 loss: 1.747577 eta: 16:49:44 batch_cost: 0.5778 data_cost: 0.0003 ips: 69.2295 images/s
[07/28 20:10:27] ppdet.engine INFO: Epoch: [220] [180/732] learning_rate: 0.031209 loss_vfl: 0.912206 loss_bbox: 0.442511 loss_dfl: 0.410406 loss: 1.768103 eta: 16:49:20 batch_cost: 0.5932 data_cost: 0.0038 ips: 67.4307 images/s
[07/28 20:10:42] ppdet.engine INFO: Epoch: [220] [200/732] learning_rate: 0.031193 loss_vfl: 0.987362 loss_bbox: 0.469934 loss_dfl: 0.429123 loss: 1.887249 eta: 16:48:56 batch_cost: 0.5992 data_cost: 0.0009 ips: 66.7519 images/s
[07/28 20:10:57] ppdet.engine INFO: Epoch: [220] [220/732] learning_rate: 0.031177 loss_vfl: 0.925889 loss_bbox: 0.470817 loss_dfl: 0.423487 loss: 1.816818 eta: 16:48:32 batch_cost: 0.5831 data_cost: 0.0003 ips: 68.5950 images/s
[07/28 20:11:11] ppdet.engine INFO: Epoch: [220] [240/732] learning_rate: 0.031160 loss_vfl: 0.885637 loss_bbox: 0.432544 loss_dfl: 0.390679 loss: 1.696055 eta: 16:48:08 batch_cost: 0.5901 data_cost: 0.0004 ips: 67.7807 images/s
[07/28 20:11:25] ppdet.engine INFO: Epoch: [220] [260/732] learning_rate: 0.031144 loss_vfl: 0.919953 loss_bbox: 0.452758 loss_dfl: 0.409079 loss: 1.779973 eta: 16:47:44 batch_cost: 0.5615 data_cost: 0.0003 ips: 71.2429 images/s
[07/28 20:11:40] ppdet.engine INFO: Epoch: [220] [280/732] learning_rate: 0.031128 loss_vfl: 0.967768 loss_bbox: 0.463367 loss_dfl: 0.434590 loss: 1.863021 eta: 16:47:20 batch_cost: 0.5930 data_cost: 0.0007 ips: 67.4485 images/s
[07/28 20:11:55] ppdet.engine INFO: Epoch: [220] [300/732] learning_rate: 0.031112 loss_vfl: 0.874990 loss_bbox: 0.431944 loss_dfl: 0.401185 loss: 1.698666 eta: 16:46:56 batch_cost: 0.5927 data_cost: 0.0003 ips: 67.4906 images/s
[07/28 20:12:10] ppdet.engine INFO: Epoch: [220] [320/732] learning_rate: 0.031096 loss_vfl: 0.950207 loss_bbox: 0.446355 loss_dfl: 0.420069 loss: 1.814369 eta: 16:46:32 batch_cost: 0.6035 data_cost: 0.0003 ips: 66.2825 images/s
[07/28 20:12:25] ppdet.engine INFO: Epoch: [220] [340/732] learning_rate: 0.031079 loss_vfl: 0.952710 loss_bbox: 0.470719 loss_dfl: 0.427264 loss: 1.852185 eta: 16:46:08 batch_cost: 0.5933 data_cost: 0.0003 ips: 67.4145 images/s
[07/28 20:12:40] ppdet.engine INFO: Epoch: [220] [360/732] learning_rate: 0.031063 loss_vfl: 0.882078 loss_bbox: 0.446449 loss_dfl: 0.416465 loss: 1.729636 eta: 16:45:44 batch_cost: 0.6041 data_cost: 0.0003 ips: 66.2157 images/s
[07/28 20:12:55] ppdet.engine INFO: Epoch: [220] [380/732] learning_rate: 0.031047 loss_vfl: 0.876115 loss_bbox: 0.438613 loss_dfl: 0.396294 loss: 1.715272 eta: 16:45:20 batch_cost: 0.6050 data_cost: 0.0003 ips: 66.1116 images/s
[07/28 20:13:09] ppdet.engine INFO: Epoch: [220] [400/732] learning_rate: 0.031031 loss_vfl: 0.903162 loss_bbox: 0.444956 loss_dfl: 0.405101 loss: 1.728502 eta: 16:44:57 batch_cost: 0.5991 data_cost: 0.0003 ips: 66.7636 images/s
[07/28 20:13:25] ppdet.engine INFO: Epoch: [220] [420/732] learning_rate: 0.031015 loss_vfl: 0.941662 loss_bbox: 0.445817 loss_dfl: 0.420544 loss: 1.814936 eta: 16:44:33 batch_cost: 0.6113 data_cost: 0.0003 ips: 65.4304 images/s
[07/28 20:13:39] ppdet.engine INFO: Epoch: [220] [440/732] learning_rate: 0.030999 loss_vfl: 0.902595 loss_bbox: 0.432540 loss_dfl: 0.400711 loss: 1.742982 eta: 16:44:09 batch_cost: 0.6022 data_cost: 0.0008 ips: 66.4251 images/s
[07/28 20:13:54] ppdet.engine INFO: Epoch: [220] [460/732] learning_rate: 0.030983 loss_vfl: 0.854580 loss_bbox: 0.414744 loss_dfl: 0.377657 loss: 1.643329 eta: 16:43:45 batch_cost: 0.5856 data_cost: 0.0003 ips: 68.3021 images/s
[07/28 20:14:07] ppdet.engine INFO: Epoch: [220] [480/732] learning_rate: 0.030966 loss_vfl: 0.909901 loss_bbox: 0.442260 loss_dfl: 0.408860 loss: 1.746647 eta: 16:43:21 batch_cost: 0.5410 data_cost: 0.0003 ips: 73.9359 images/s
[07/28 20:14:23] ppdet.engine INFO: Epoch: [220] [500/732] learning_rate: 0.030950 loss_vfl: 0.913346 loss_bbox: 0.411855 loss_dfl: 0.402069 loss: 1.716399 eta: 16:42:57 batch_cost: 0.6538 data_cost: 0.0003 ips: 61.1773 images/s
[07/28 20:14:36] ppdet.engine INFO: Epoch: [220] [520/732] learning_rate: 0.030934 loss_vfl: 0.897024 loss_bbox: 0.447744 loss_dfl: 0.409610 loss: 1.739671 eta: 16:42:33 batch_cost: 0.5719 data_cost: 0.0009 ips: 69.9407 images/s
[07/28 20:14:51] ppdet.engine INFO: Epoch: [220] [540/732] learning_rate: 0.030918 loss_vfl: 0.896072 loss_bbox: 0.442462 loss_dfl: 0.409853 loss: 1.786899 eta: 16:42:09 batch_cost: 0.5784 data_cost: 0.0009 ips: 69.1549 images/s
[07/28 20:15:06] ppdet.engine INFO: Epoch: [220] [560/732] learning_rate: 0.030902 loss_vfl: 0.879183 loss_bbox: 0.429892 loss_dfl: 0.390629 loss: 1.706470 eta: 16:41:45 batch_cost: 0.6266 data_cost: 0.0003 ips: 63.8360 images/s
[07/28 20:15:21] ppdet.engine INFO: Epoch: [220] [580/732] learning_rate: 0.030886 loss_vfl: 0.919830 loss_bbox: 0.448960 loss_dfl: 0.411053 loss: 1.774139 eta: 16:41:22 batch_cost: 0.6145 data_cost: 0.0003 ips: 65.0949 images/s
[07/28 20:15:35] ppdet.engine INFO: Epoch: [220] [600/732] learning_rate: 0.030870 loss_vfl: 0.905297 loss_bbox: 0.436406 loss_dfl: 0.413324 loss: 1.769106 eta: 16:40:57 batch_cost: 0.5391 data_cost: 0.0003 ips: 74.1913 images/s
[07/28 20:15:49] ppdet.engine INFO: Epoch: [220] [620/732] learning_rate: 0.030854 loss_vfl: 0.918948 loss_bbox: 0.447705 loss_dfl: 0.412420 loss: 1.793327 eta: 16:40:33 batch_cost: 0.5975 data_cost: 0.0009 ips: 66.9425 images/s
[07/28 20:16:04] ppdet.engine INFO: Epoch: [220] [640/732] learning_rate: 0.030838 loss_vfl: 0.964522 loss_bbox: 0.465038 loss_dfl: 0.437035 loss: 1.881142 eta: 16:40:10 batch_cost: 0.6174 data_cost: 0.0006 ips: 64.7897 images/s
[07/28 20:16:20] ppdet.engine INFO: Epoch: [220] [660/732] learning_rate: 0.030822 loss_vfl: 0.902947 loss_bbox: 0.447708 loss_dfl: 0.416373 loss: 1.771337 eta: 16:39:46 batch_cost: 0.6224 data_cost: 0.0004 ips: 64.2713 images/s
[07/28 20:16:35] ppdet.engine INFO: Epoch: [220] [680/732] learning_rate: 0.030806 loss_vfl: 0.901456 loss_bbox: 0.431215 loss_dfl: 0.399770 loss: 1.730033 eta: 16:39:22 batch_cost: 0.6057 data_cost: 0.0009 ips: 66.0409 images/s
[07/28 20:16:50] ppdet.engine INFO: Epoch: [220] [700/732] learning_rate: 0.030790 loss_vfl: 0.955859 loss_bbox: 0.470979 loss_dfl: 0.421273 loss: 1.833381 eta: 16:38:58 batch_cost: 0.5898 data_cost: 0.0003 ips: 67.8140 images/s
[07/28 20:17:05] ppdet.engine INFO: Epoch: [220] [720/732] learning_rate: 0.030774 loss_vfl: 0.910342 loss_bbox: 0.437478 loss_dfl: 0.397324 loss: 1.762125 eta: 16:38:35 batch_cost: 0.6057 data_cost: 0.0004 ips: 66.0342 images/s
[07/28 20:17:18] ppdet.engine INFO: Epoch: [221] [  0/732] learning_rate: 0.030764 loss_vfl: 0.932316 loss_bbox: 0.440999 loss_dfl: 0.415324 loss: 1.794638 eta: 16:38:21 batch_cost: 0.7468 data_cost: 0.2126 ips: 53.5638 images/s
[07/28 20:17:36] ppdet.engine INFO: Epoch: [221] [ 20/732] learning_rate: 0.030748 loss_vfl: 0.899870 loss_bbox: 0.425452 loss_dfl: 0.392315 loss: 1.713528 eta: 16:37:58 batch_cost: 0.6872 data_cost: 0.0014 ips: 58.2033 images/s
[07/28 20:17:51] ppdet.engine INFO: Epoch: [221] [ 40/732] learning_rate: 0.030732 loss_vfl: 0.972742 loss_bbox: 0.453908 loss_dfl: 0.426655 loss: 1.853305 eta: 16:37:35 batch_cost: 0.6558 data_cost: 0.0003 ips: 60.9914 images/s
[07/28 20:18:07] ppdet.engine INFO: Epoch: [221] [ 60/732] learning_rate: 0.030716 loss_vfl: 0.937896 loss_bbox: 0.468043 loss_dfl: 0.423016 loss: 1.828699 eta: 16:37:11 batch_cost: 0.6320 data_cost: 0.0003 ips: 63.2879 images/s
[07/28 20:18:22] ppdet.engine INFO: Epoch: [221] [ 80/732] learning_rate: 0.030700 loss_vfl: 0.909125 loss_bbox: 0.443020 loss_dfl: 0.411414 loss: 1.783492 eta: 16:36:47 batch_cost: 0.6204 data_cost: 0.0003 ips: 64.4715 images/s
[07/28 20:18:37] ppdet.engine INFO: Epoch: [221] [100/732] learning_rate: 0.030684 loss_vfl: 0.878042 loss_bbox: 0.416169 loss_dfl: 0.387235 loss: 1.665261 eta: 16:36:24 batch_cost: 0.6424 data_cost: 0.0006 ips: 62.2655 images/s
[07/28 20:18:51] ppdet.engine INFO: Epoch: [221] [120/732] learning_rate: 0.030668 loss_vfl: 0.962573 loss_bbox: 0.464055 loss_dfl: 0.439385 loss: 1.869819 eta: 16:36:00 batch_cost: 0.6095 data_cost: 0.0003 ips: 65.6315 images/s
[07/28 20:19:07] ppdet.engine INFO: Epoch: [221] [140/732] learning_rate: 0.030652 loss_vfl: 0.884353 loss_bbox: 0.444661 loss_dfl: 0.404133 loss: 1.726786 eta: 16:35:37 batch_cost: 0.6393 data_cost: 0.0003 ips: 62.5688 images/s
[07/28 20:19:22] ppdet.engine INFO: Epoch: [221] [160/732] learning_rate: 0.030636 loss_vfl: 0.896766 loss_bbox: 0.416239 loss_dfl: 0.392544 loss: 1.698463 eta: 16:35:13 batch_cost: 0.6260 data_cost: 0.0007 ips: 63.8928 images/s
[07/28 20:19:38] ppdet.engine INFO: Epoch: [221] [180/732] learning_rate: 0.030620 loss_vfl: 0.874740 loss_bbox: 0.425222 loss_dfl: 0.384462 loss: 1.688239 eta: 16:34:49 batch_cost: 0.6261 data_cost: 0.0007 ips: 63.8880 images/s
[07/28 20:19:52] ppdet.engine INFO: Epoch: [221] [200/732] learning_rate: 0.030604 loss_vfl: 0.952771 loss_bbox: 0.471090 loss_dfl: 0.425333 loss: 1.873160 eta: 16:34:26 batch_cost: 0.6020 data_cost: 0.0010 ips: 66.4400 images/s
[07/28 20:20:06] ppdet.engine INFO: Epoch: [221] [220/732] learning_rate: 0.030588 loss_vfl: 0.966485 loss_bbox: 0.465083 loss_dfl: 0.433867 loss: 1.859250 eta: 16:34:02 batch_cost: 0.5841 data_cost: 0.0009 ips: 68.4862 images/s
[07/28 20:20:21] ppdet.engine INFO: Epoch: [221] [240/732] learning_rate: 0.030573 loss_vfl: 0.906826 loss_bbox: 0.448245 loss_dfl: 0.411745 loss: 1.753499 eta: 16:33:38 batch_cost: 0.6234 data_cost: 0.0003 ips: 64.1615 images/s
[07/28 20:20:37] ppdet.engine INFO: Epoch: [221] [260/732] learning_rate: 0.030557 loss_vfl: 0.913216 loss_bbox: 0.426641 loss_dfl: 0.402825 loss: 1.764656 eta: 16:33:15 batch_cost: 0.6422 data_cost: 0.0009 ips: 62.2901 images/s
[07/28 20:20:52] ppdet.engine INFO: Epoch: [221] [280/732] learning_rate: 0.030541 loss_vfl: 0.896439 loss_bbox: 0.451536 loss_dfl: 0.409208 loss: 1.737936 eta: 16:32:51 batch_cost: 0.6200 data_cost: 0.0003 ips: 64.5153 images/s
[07/28 20:21:07] ppdet.engine INFO: Epoch: [221] [300/732] learning_rate: 0.030525 loss_vfl: 0.914879 loss_bbox: 0.443737 loss_dfl: 0.403154 loss: 1.763838 eta: 16:32:27 batch_cost: 0.6265 data_cost: 0.0003 ips: 63.8454 images/s
[07/28 20:21:22] ppdet.engine INFO: Epoch: [221] [320/732] learning_rate: 0.030509 loss_vfl: 0.905387 loss_bbox: 0.440614 loss_dfl: 0.401281 loss: 1.766041 eta: 16:32:04 batch_cost: 0.6132 data_cost: 0.0009 ips: 65.2292 images/s
[07/28 20:21:36] ppdet.engine INFO: Epoch: [221] [340/732] learning_rate: 0.030493 loss_vfl: 0.909294 loss_bbox: 0.432323 loss_dfl: 0.405749 loss: 1.754586 eta: 16:31:40 batch_cost: 0.5751 data_cost: 0.0005 ips: 69.5540 images/s
[07/28 20:21:51] ppdet.engine INFO: Epoch: [221] [360/732] learning_rate: 0.030477 loss_vfl: 0.910410 loss_bbox: 0.445000 loss_dfl: 0.411970 loss: 1.739875 eta: 16:31:16 batch_cost: 0.5991 data_cost: 0.0003 ips: 66.7635 images/s
[07/28 20:22:06] ppdet.engine INFO: Epoch: [221] [380/732] learning_rate: 0.030461 loss_vfl: 0.952257 loss_bbox: 0.447437 loss_dfl: 0.419671 loss: 1.818388 eta: 16:30:52 batch_cost: 0.6430 data_cost: 0.0008 ips: 62.2113 images/s
[07/28 20:22:21] ppdet.engine INFO: Epoch: [221] [400/732] learning_rate: 0.030445 loss_vfl: 0.901329 loss_bbox: 0.427346 loss_dfl: 0.413304 loss: 1.731587 eta: 16:30:29 batch_cost: 0.6364 data_cost: 0.0009 ips: 62.8530 images/s
[07/28 20:22:36] ppdet.engine INFO: Epoch: [221] [420/732] learning_rate: 0.030430 loss_vfl: 0.929499 loss_bbox: 0.456988 loss_dfl: 0.402750 loss: 1.764038 eta: 16:30:05 batch_cost: 0.6081 data_cost: 0.0003 ips: 65.7810 images/s
[07/28 20:22:51] ppdet.engine INFO: Epoch: [221] [440/732] learning_rate: 0.030414 loss_vfl: 0.886531 loss_bbox: 0.462085 loss_dfl: 0.412729 loss: 1.758172 eta: 16:29:41 batch_cost: 0.6000 data_cost: 0.0003 ips: 66.6694 images/s
[07/28 20:23:06] ppdet.engine INFO: Epoch: [221] [460/732] learning_rate: 0.030398 loss_vfl: 0.901488 loss_bbox: 0.444266 loss_dfl: 0.402788 loss: 1.756403 eta: 16:29:18 batch_cost: 0.6299 data_cost: 0.0003 ips: 63.4985 images/s
[07/28 20:23:21] ppdet.engine INFO: Epoch: [221] [480/732] learning_rate: 0.030382 loss_vfl: 0.891254 loss_bbox: 0.419361 loss_dfl: 0.398963 loss: 1.714738 eta: 16:28:54 batch_cost: 0.6313 data_cost: 0.0003 ips: 63.3624 images/s
[07/28 20:23:36] ppdet.engine INFO: Epoch: [221] [500/732] learning_rate: 0.030366 loss_vfl: 0.950431 loss_bbox: 0.447651 loss_dfl: 0.402119 loss: 1.788233 eta: 16:28:31 batch_cost: 0.6051 data_cost: 0.0003 ips: 66.1055 images/s
[07/28 20:23:50] ppdet.engine INFO: Epoch: [221] [520/732] learning_rate: 0.030351 loss_vfl: 0.950952 loss_bbox: 0.450786 loss_dfl: 0.415701 loss: 1.809871 eta: 16:28:07 batch_cost: 0.5709 data_cost: 0.0003 ips: 70.0615 images/s
[07/28 20:24:05] ppdet.engine INFO: Epoch: [221] [540/732] learning_rate: 0.030335 loss_vfl: 0.948032 loss_bbox: 0.462489 loss_dfl: 0.425540 loss: 1.816391 eta: 16:27:43 batch_cost: 0.5923 data_cost: 0.0006 ips: 67.5367 images/s
[07/28 20:24:20] ppdet.engine INFO: Epoch: [221] [560/732] learning_rate: 0.030319 loss_vfl: 0.894125 loss_bbox: 0.427305 loss_dfl: 0.395498 loss: 1.706291 eta: 16:27:19 batch_cost: 0.6336 data_cost: 0.0003 ips: 63.1264 images/s
[07/28 20:24:34] ppdet.engine INFO: Epoch: [221] [580/732] learning_rate: 0.030303 loss_vfl: 0.896062 loss_bbox: 0.441136 loss_dfl: 0.408535 loss: 1.733597 eta: 16:26:55 batch_cost: 0.5571 data_cost: 0.0004 ips: 71.7956 images/s
[07/28 20:24:49] ppdet.engine INFO: Epoch: [221] [600/732] learning_rate: 0.030287 loss_vfl: 0.867442 loss_bbox: 0.443782 loss_dfl: 0.395296 loss: 1.726728 eta: 16:26:32 batch_cost: 0.6097 data_cost: 0.0003 ips: 65.6022 images/s
[07/28 20:25:05] ppdet.engine INFO: Epoch: [221] [620/732] learning_rate: 0.030272 loss_vfl: 0.916924 loss_bbox: 0.456426 loss_dfl: 0.426040 loss: 1.826599 eta: 16:26:08 batch_cost: 0.6569 data_cost: 0.0014 ips: 60.8917 images/s
[07/28 20:25:19] ppdet.engine INFO: Epoch: [221] [640/732] learning_rate: 0.030256 loss_vfl: 0.895806 loss_bbox: 0.421874 loss_dfl: 0.397874 loss: 1.726239 eta: 16:25:44 batch_cost: 0.5955 data_cost: 0.0003 ips: 67.1741 images/s
[07/28 20:25:34] ppdet.engine INFO: Epoch: [221] [660/732] learning_rate: 0.030240 loss_vfl: 0.954280 loss_bbox: 0.465850 loss_dfl: 0.427387 loss: 1.872450 eta: 16:25:21 batch_cost: 0.6082 data_cost: 0.0003 ips: 65.7653 images/s
[07/28 20:25:49] ppdet.engine INFO: Epoch: [221] [680/732] learning_rate: 0.030224 loss_vfl: 0.910148 loss_bbox: 0.438843 loss_dfl: 0.407290 loss: 1.755002 eta: 16:24:57 batch_cost: 0.5882 data_cost: 0.0018 ips: 68.0030 images/s
[07/28 20:26:04] ppdet.engine INFO: Epoch: [221] [700/732] learning_rate: 0.030209 loss_vfl: 0.972850 loss_bbox: 0.466890 loss_dfl: 0.427761 loss: 1.855575 eta: 16:24:33 batch_cost: 0.6337 data_cost: 0.0003 ips: 63.1253 images/s
[07/28 20:26:19] ppdet.engine INFO: Epoch: [221] [720/732] learning_rate: 0.030193 loss_vfl: 0.903501 loss_bbox: 0.439375 loss_dfl: 0.405506 loss: 1.766559 eta: 16:24:10 batch_cost: 0.6286 data_cost: 0.0014 ips: 63.6340 images/s
[07/28 20:26:34] ppdet.engine INFO: Epoch: [222] [  0/732] learning_rate: 0.030183 loss_vfl: 0.921251 loss_bbox: 0.446875 loss_dfl: 0.410851 loss: 1.769168 eta: 16:23:57 batch_cost: 0.8262 data_cost: 0.2503 ips: 48.4146 images/s
[07/28 20:26:50] ppdet.engine INFO: Epoch: [222] [ 20/732] learning_rate: 0.030168 loss_vfl: 0.916419 loss_bbox: 0.468502 loss_dfl: 0.412596 loss: 1.790642 eta: 16:23:34 batch_cost: 0.6401 data_cost: 0.0019 ips: 62.4863 images/s
[07/28 20:27:07] ppdet.engine INFO: Epoch: [222] [ 40/732] learning_rate: 0.030152 loss_vfl: 0.954576 loss_bbox: 0.457819 loss_dfl: 0.429254 loss: 1.841900 eta: 16:23:11 batch_cost: 0.6714 data_cost: 0.0013 ips: 59.5796 images/s
[07/28 20:27:22] ppdet.engine INFO: Epoch: [222] [ 60/732] learning_rate: 0.030136 loss_vfl: 0.900541 loss_bbox: 0.446046 loss_dfl: 0.399708 loss: 1.758879 eta: 16:22:47 batch_cost: 0.6127 data_cost: 0.0004 ips: 65.2883 images/s
[07/28 20:27:36] ppdet.engine INFO: Epoch: [222] [ 80/732] learning_rate: 0.030121 loss_vfl: 0.911089 loss_bbox: 0.460501 loss_dfl: 0.425621 loss: 1.865329 eta: 16:22:23 batch_cost: 0.5996 data_cost: 0.0011 ips: 66.7138 images/s
[07/28 20:27:51] ppdet.engine INFO: Epoch: [222] [100/732] learning_rate: 0.030105 loss_vfl: 0.969491 loss_bbox: 0.466457 loss_dfl: 0.428912 loss: 1.885519 eta: 16:21:59 batch_cost: 0.5879 data_cost: 0.0008 ips: 68.0338 images/s
[07/28 20:28:05] ppdet.engine INFO: Epoch: [222] [120/732] learning_rate: 0.030089 loss_vfl: 0.902956 loss_bbox: 0.434817 loss_dfl: 0.400262 loss: 1.716900 eta: 16:21:35 batch_cost: 0.5190 data_cost: 0.0016 ips: 77.0778 images/s
[07/28 20:28:20] ppdet.engine INFO: Epoch: [222] [140/732] learning_rate: 0.030074 loss_vfl: 0.916584 loss_bbox: 0.452989 loss_dfl: 0.404237 loss: 1.765838 eta: 16:21:12 batch_cost: 0.6293 data_cost: 0.0004 ips: 63.5636 images/s
[07/28 20:28:36] ppdet.engine INFO: Epoch: [222] [160/732] learning_rate: 0.030058 loss_vfl: 0.899969 loss_bbox: 0.438258 loss_dfl: 0.409075 loss: 1.733532 eta: 16:20:48 batch_cost: 0.6525 data_cost: 0.0014 ips: 61.2984 images/s
[07/28 20:28:52] ppdet.engine INFO: Epoch: [222] [180/732] learning_rate: 0.030042 loss_vfl: 0.946675 loss_bbox: 0.445345 loss_dfl: 0.413270 loss: 1.783228 eta: 16:20:25 batch_cost: 0.6707 data_cost: 0.0004 ips: 59.6380 images/s
[07/28 20:29:07] ppdet.engine INFO: Epoch: [222] [200/732] learning_rate: 0.030027 loss_vfl: 0.905047 loss_bbox: 0.440773 loss_dfl: 0.397865 loss: 1.739397 eta: 16:20:02 batch_cost: 0.6318 data_cost: 0.0004 ips: 63.3077 images/s
[07/28 20:29:21] ppdet.engine INFO: Epoch: [222] [220/732] learning_rate: 0.030011 loss_vfl: 0.903791 loss_bbox: 0.462890 loss_dfl: 0.424014 loss: 1.793354 eta: 16:19:38 batch_cost: 0.5561 data_cost: 0.0004 ips: 71.9335 images/s
[07/28 20:29:36] ppdet.engine INFO: Epoch: [222] [240/732] learning_rate: 0.029995 loss_vfl: 0.919480 loss_bbox: 0.445849 loss_dfl: 0.402301 loss: 1.743160 eta: 16:19:14 batch_cost: 0.6075 data_cost: 0.0004 ips: 65.8386 images/s
[07/28 20:29:51] ppdet.engine INFO: Epoch: [222] [260/732] learning_rate: 0.029980 loss_vfl: 0.912795 loss_bbox: 0.444773 loss_dfl: 0.416839 loss: 1.766652 eta: 16:18:50 batch_cost: 0.6304 data_cost: 0.0075 ips: 63.4547 images/s
[07/28 20:30:05] ppdet.engine INFO: Epoch: [222] [280/732] learning_rate: 0.029964 loss_vfl: 0.897002 loss_bbox: 0.434124 loss_dfl: 0.403633 loss: 1.748608 eta: 16:18:27 batch_cost: 0.5767 data_cost: 0.0003 ips: 69.3548 images/s
[07/28 20:30:21] ppdet.engine INFO: Epoch: [222] [300/732] learning_rate: 0.029949 loss_vfl: 0.959019 loss_bbox: 0.462348 loss_dfl: 0.422055 loss: 1.840250 eta: 16:18:03 batch_cost: 0.6411 data_cost: 0.0016 ips: 62.3938 images/s
[07/28 20:30:37] ppdet.engine INFO: Epoch: [222] [320/732] learning_rate: 0.029933 loss_vfl: 0.914154 loss_bbox: 0.439084 loss_dfl: 0.405449 loss: 1.758454 eta: 16:17:40 batch_cost: 0.6378 data_cost: 0.0003 ips: 62.7157 images/s
[07/28 20:30:51] ppdet.engine INFO: Epoch: [222] [340/732] learning_rate: 0.029917 loss_vfl: 0.972450 loss_bbox: 0.487999 loss_dfl: 0.447600 loss: 1.929180 eta: 16:17:16 batch_cost: 0.6139 data_cost: 0.0003 ips: 65.1617 images/s
[07/28 20:31:06] ppdet.engine INFO: Epoch: [222] [360/732] learning_rate: 0.029902 loss_vfl: 0.943158 loss_bbox: 0.467874 loss_dfl: 0.422867 loss: 1.820340 eta: 16:16:53 batch_cost: 0.6068 data_cost: 0.0020 ips: 65.9247 images/s
[07/28 20:31:21] ppdet.engine INFO: Epoch: [222] [380/732] learning_rate: 0.029886 loss_vfl: 0.911616 loss_bbox: 0.448953 loss_dfl: 0.406177 loss: 1.749902 eta: 16:16:29 batch_cost: 0.5670 data_cost: 0.0017 ips: 70.5483 images/s
[07/28 20:31:36] ppdet.engine INFO: Epoch: [222] [400/732] learning_rate: 0.029871 loss_vfl: 0.914877 loss_bbox: 0.423028 loss_dfl: 0.402301 loss: 1.717965 eta: 16:16:05 batch_cost: 0.5862 data_cost: 0.0003 ips: 68.2321 images/s
[07/28 20:31:50] ppdet.engine INFO: Epoch: [222] [420/732] learning_rate: 0.029855 loss_vfl: 0.887674 loss_bbox: 0.426587 loss_dfl: 0.394633 loss: 1.704669 eta: 16:15:41 batch_cost: 0.6095 data_cost: 0.0003 ips: 65.6253 images/s
[07/28 20:32:05] ppdet.engine INFO: Epoch: [222] [440/732] learning_rate: 0.029840 loss_vfl: 0.885708 loss_bbox: 0.428088 loss_dfl: 0.394583 loss: 1.701988 eta: 16:15:18 batch_cost: 0.6223 data_cost: 0.0015 ips: 64.2733 images/s
[07/28 20:32:20] ppdet.engine INFO: Epoch: [222] [460/732] learning_rate: 0.029824 loss_vfl: 0.894511 loss_bbox: 0.437734 loss_dfl: 0.400157 loss: 1.721776 eta: 16:14:54 batch_cost: 0.5750 data_cost: 0.0003 ips: 69.5707 images/s
[07/28 20:32:34] ppdet.engine INFO: Epoch: [222] [480/732] learning_rate: 0.029809 loss_vfl: 0.925554 loss_bbox: 0.452098 loss_dfl: 0.411119 loss: 1.778176 eta: 16:14:30 batch_cost: 0.5662 data_cost: 0.0005 ips: 70.6456 images/s
[07/28 20:32:48] ppdet.engine INFO: Epoch: [222] [500/732] learning_rate: 0.029793 loss_vfl: 0.907322 loss_bbox: 0.443546 loss_dfl: 0.408454 loss: 1.764390 eta: 16:14:06 batch_cost: 0.5458 data_cost: 0.0010 ips: 73.2804 images/s
[07/28 20:33:03] ppdet.engine INFO: Epoch: [222] [520/732] learning_rate: 0.029777 loss_vfl: 0.907964 loss_bbox: 0.452269 loss_dfl: 0.411816 loss: 1.784163 eta: 16:13:42 batch_cost: 0.6238 data_cost: 0.0008 ips: 64.1256 images/s
[07/28 20:33:18] ppdet.engine INFO: Epoch: [222] [540/732] learning_rate: 0.029762 loss_vfl: 0.914192 loss_bbox: 0.443726 loss_dfl: 0.416912 loss: 1.765065 eta: 16:13:19 batch_cost: 0.5906 data_cost: 0.0003 ips: 67.7250 images/s
[07/28 20:33:33] ppdet.engine INFO: Epoch: [222] [560/732] learning_rate: 0.029746 loss_vfl: 0.938203 loss_bbox: 0.444362 loss_dfl: 0.415422 loss: 1.820328 eta: 16:12:55 batch_cost: 0.6302 data_cost: 0.0015 ips: 63.4679 images/s
[07/28 20:33:48] ppdet.engine INFO: Epoch: [222] [580/732] learning_rate: 0.029731 loss_vfl: 0.929864 loss_bbox: 0.451676 loss_dfl: 0.409581 loss: 1.790258 eta: 16:12:32 batch_cost: 0.5911 data_cost: 0.0007 ips: 67.6723 images/s
[07/28 20:34:03] ppdet.engine INFO: Epoch: [222] [600/732] learning_rate: 0.029715 loss_vfl: 0.890109 loss_bbox: 0.445260 loss_dfl: 0.405247 loss: 1.736744 eta: 16:12:08 batch_cost: 0.6079 data_cost: 0.0024 ips: 65.7958 images/s
[07/28 20:34:17] ppdet.engine INFO: Epoch: [222] [620/732] learning_rate: 0.029700 loss_vfl: 0.926952 loss_bbox: 0.465765 loss_dfl: 0.424221 loss: 1.793317 eta: 16:11:44 batch_cost: 0.5676 data_cost: 0.0003 ips: 70.4746 images/s
[07/28 20:34:31] ppdet.engine INFO: Epoch: [222] [640/732] learning_rate: 0.029685 loss_vfl: 0.932832 loss_bbox: 0.447943 loss_dfl: 0.415455 loss: 1.788944 eta: 16:11:20 batch_cost: 0.5911 data_cost: 0.0003 ips: 67.6690 images/s
[07/28 20:34:47] ppdet.engine INFO: Epoch: [222] [660/732] learning_rate: 0.029669 loss_vfl: 0.924259 loss_bbox: 0.445780 loss_dfl: 0.409271 loss: 1.763589 eta: 16:10:57 batch_cost: 0.6268 data_cost: 0.0003 ips: 63.8200 images/s
[07/28 20:35:01] ppdet.engine INFO: Epoch: [222] [680/732] learning_rate: 0.029654 loss_vfl: 0.880384 loss_bbox: 0.427456 loss_dfl: 0.394835 loss: 1.709665 eta: 16:10:33 batch_cost: 0.5938 data_cost: 0.0004 ips: 67.3667 images/s
[07/28 20:35:16] ppdet.engine INFO: Epoch: [222] [700/732] learning_rate: 0.029638 loss_vfl: 0.935259 loss_bbox: 0.466223 loss_dfl: 0.424052 loss: 1.817468 eta: 16:10:10 batch_cost: 0.6306 data_cost: 0.0010 ips: 63.4288 images/s
[07/28 20:35:32] ppdet.engine INFO: Epoch: [222] [720/732] learning_rate: 0.029623 loss_vfl: 0.960415 loss_bbox: 0.471596 loss_dfl: 0.421231 loss: 1.850249 eta: 16:09:46 batch_cost: 0.6335 data_cost: 0.0004 ips: 63.1379 images/s
[07/28 20:35:46] ppdet.engine INFO: Epoch: [223] [  0/732] learning_rate: 0.029614 loss_vfl: 0.925542 loss_bbox: 0.459453 loss_dfl: 0.411704 loss: 1.790479 eta: 16:09:34 batch_cost: 0.8195 data_cost: 0.1669 ips: 48.8078 images/s
[07/28 20:36:03] ppdet.engine INFO: Epoch: [223] [ 20/732] learning_rate: 0.029598 loss_vfl: 0.976023 loss_bbox: 0.499884 loss_dfl: 0.441085 loss: 1.905307 eta: 16:09:10 batch_cost: 0.6624 data_cost: 0.0003 ips: 60.3861 images/s
[07/28 20:36:17] ppdet.engine INFO: Epoch: [223] [ 40/732] learning_rate: 0.029583 loss_vfl: 0.892693 loss_bbox: 0.415279 loss_dfl: 0.388565 loss: 1.685637 eta: 16:08:47 batch_cost: 0.5995 data_cost: 0.0003 ips: 66.7232 images/s
[07/28 20:36:33] ppdet.engine INFO: Epoch: [223] [ 60/732] learning_rate: 0.029567 loss_vfl: 0.897610 loss_bbox: 0.452756 loss_dfl: 0.418819 loss: 1.775474 eta: 16:08:23 batch_cost: 0.6317 data_cost: 0.0003 ips: 63.3166 images/s
[07/28 20:36:47] ppdet.engine INFO: Epoch: [223] [ 80/732] learning_rate: 0.029552 loss_vfl: 0.873671 loss_bbox: 0.432978 loss_dfl: 0.397203 loss: 1.689823 eta: 16:08:00 batch_cost: 0.5634 data_cost: 0.0009 ips: 71.0030 images/s
[07/28 20:37:02] ppdet.engine INFO: Epoch: [223] [100/732] learning_rate: 0.029536 loss_vfl: 0.913514 loss_bbox: 0.456945 loss_dfl: 0.419527 loss: 1.796448 eta: 16:07:36 batch_cost: 0.5995 data_cost: 0.0004 ips: 66.7178 images/s
[07/28 20:37:18] ppdet.engine INFO: Epoch: [223] [120/732] learning_rate: 0.029521 loss_vfl: 0.944312 loss_bbox: 0.477457 loss_dfl: 0.431999 loss: 1.880091 eta: 16:07:13 batch_cost: 0.6374 data_cost: 0.0009 ips: 62.7567 images/s
[07/28 20:37:33] ppdet.engine INFO: Epoch: [223] [140/732] learning_rate: 0.029506 loss_vfl: 0.949798 loss_bbox: 0.449536 loss_dfl: 0.414865 loss: 1.805883 eta: 16:06:49 batch_cost: 0.6410 data_cost: 0.0029 ips: 62.4045 images/s
[07/28 20:37:47] ppdet.engine INFO: Epoch: [223] [160/732] learning_rate: 0.029490 loss_vfl: 0.949343 loss_bbox: 0.485227 loss_dfl: 0.430089 loss: 1.873741 eta: 16:06:25 batch_cost: 0.5362 data_cost: 0.0004 ips: 74.6050 images/s
[07/28 20:38:03] ppdet.engine INFO: Epoch: [223] [180/732] learning_rate: 0.029475 loss_vfl: 0.865895 loss_bbox: 0.431112 loss_dfl: 0.400594 loss: 1.698107 eta: 16:06:02 batch_cost: 0.6412 data_cost: 0.0011 ips: 62.3849 images/s
[07/28 20:38:18] ppdet.engine INFO: Epoch: [223] [200/732] learning_rate: 0.029460 loss_vfl: 0.950206 loss_bbox: 0.447718 loss_dfl: 0.412212 loss: 1.791471 eta: 16:05:39 batch_cost: 0.6481 data_cost: 0.0009 ips: 61.7192 images/s
[07/28 20:38:33] ppdet.engine INFO: Epoch: [223] [220/732] learning_rate: 0.029444 loss_vfl: 0.981822 loss_bbox: 0.480103 loss_dfl: 0.437989 loss: 1.916813 eta: 16:05:15 batch_cost: 0.5643 data_cost: 0.0013 ips: 70.8891 images/s
[07/28 20:38:47] ppdet.engine INFO: Epoch: [223] [240/732] learning_rate: 0.029429 loss_vfl: 0.898454 loss_bbox: 0.439104 loss_dfl: 0.400674 loss: 1.729894 eta: 16:04:51 batch_cost: 0.5953 data_cost: 0.0011 ips: 67.1926 images/s
[07/28 20:39:01] ppdet.engine INFO: Epoch: [223] [260/732] learning_rate: 0.029414 loss_vfl: 0.948382 loss_bbox: 0.457851 loss_dfl: 0.431121 loss: 1.862568 eta: 16:04:27 batch_cost: 0.5855 data_cost: 0.0003 ips: 68.3178 images/s
[07/28 20:39:16] ppdet.engine INFO: Epoch: [223] [280/732] learning_rate: 0.029398 loss_vfl: 0.931148 loss_bbox: 0.434431 loss_dfl: 0.402406 loss: 1.755364 eta: 16:04:04 batch_cost: 0.6476 data_cost: 0.0003 ips: 61.7685 images/s
[07/28 20:39:31] ppdet.engine INFO: Epoch: [223] [300/732] learning_rate: 0.029383 loss_vfl: 0.902819 loss_bbox: 0.437268 loss_dfl: 0.400403 loss: 1.748723 eta: 16:03:41 batch_cost: 0.6230 data_cost: 0.0018 ips: 64.2047 images/s
[07/28 20:39:46] ppdet.engine INFO: Epoch: [223] [320/732] learning_rate: 0.029368 loss_vfl: 0.885532 loss_bbox: 0.420284 loss_dfl: 0.396933 loss: 1.704132 eta: 16:03:17 batch_cost: 0.6223 data_cost: 0.0003 ips: 64.2760 images/s
[07/28 20:40:00] ppdet.engine INFO: Epoch: [223] [340/732] learning_rate: 0.029352 loss_vfl: 0.918997 loss_bbox: 0.430842 loss_dfl: 0.403773 loss: 1.747462 eta: 16:02:54 batch_cost: 0.5613 data_cost: 0.0005 ips: 71.2654 images/s
[07/28 20:40:15] ppdet.engine INFO: Epoch: [223] [360/732] learning_rate: 0.029337 loss_vfl: 0.934439 loss_bbox: 0.450154 loss_dfl: 0.414282 loss: 1.805892 eta: 16:02:30 batch_cost: 0.5789 data_cost: 0.0003 ips: 69.1001 images/s
[07/28 20:40:29] ppdet.engine INFO: Epoch: [223] [380/732] learning_rate: 0.029322 loss_vfl: 0.916505 loss_bbox: 0.446542 loss_dfl: 0.412609 loss: 1.772362 eta: 16:02:06 batch_cost: 0.5612 data_cost: 0.0003 ips: 71.2810 images/s
[07/28 20:40:44] ppdet.engine INFO: Epoch: [223] [400/732] learning_rate: 0.029307 loss_vfl: 0.924334 loss_bbox: 0.452036 loss_dfl: 0.420919 loss: 1.806133 eta: 16:01:43 batch_cost: 0.6248 data_cost: 0.0010 ips: 64.0185 images/s
[07/28 20:41:00] ppdet.engine INFO: Epoch: [223] [420/732] learning_rate: 0.029291 loss_vfl: 0.883302 loss_bbox: 0.456825 loss_dfl: 0.394115 loss: 1.724009 eta: 16:01:19 batch_cost: 0.6148 data_cost: 0.0003 ips: 65.0632 images/s
[07/28 20:41:14] ppdet.engine INFO: Epoch: [223] [440/732] learning_rate: 0.029276 loss_vfl: 0.931216 loss_bbox: 0.462410 loss_dfl: 0.418852 loss: 1.831225 eta: 16:00:55 batch_cost: 0.5653 data_cost: 0.0017 ips: 70.7528 images/s
[07/28 20:41:29] ppdet.engine INFO: Epoch: [223] [460/732] learning_rate: 0.029261 loss_vfl: 0.932768 loss_bbox: 0.438167 loss_dfl: 0.404566 loss: 1.762474 eta: 16:00:32 batch_cost: 0.6435 data_cost: 0.0003 ips: 62.1570 images/s
[07/28 20:41:45] ppdet.engine INFO: Epoch: [223] [480/732] learning_rate: 0.029246 loss_vfl: 0.923039 loss_bbox: 0.461058 loss_dfl: 0.430243 loss: 1.814340 eta: 16:00:09 batch_cost: 0.6669 data_cost: 0.0014 ips: 59.9821 images/s
[07/28 20:42:01] ppdet.engine INFO: Epoch: [223] [500/732] learning_rate: 0.029230 loss_vfl: 0.941169 loss_bbox: 0.460141 loss_dfl: 0.415784 loss: 1.802378 eta: 15:59:46 batch_cost: 0.6591 data_cost: 0.0003 ips: 60.6932 images/s
[07/28 20:42:16] ppdet.engine INFO: Epoch: [223] [520/732] learning_rate: 0.029215 loss_vfl: 0.903444 loss_bbox: 0.438604 loss_dfl: 0.405615 loss: 1.746490 eta: 15:59:22 batch_cost: 0.6411 data_cost: 0.0003 ips: 62.3961 images/s
[07/28 20:42:30] ppdet.engine INFO: Epoch: [223] [540/732] learning_rate: 0.029200 loss_vfl: 0.910669 loss_bbox: 0.445626 loss_dfl: 0.417836 loss: 1.778634 eta: 15:58:59 batch_cost: 0.5627 data_cost: 0.0003 ips: 71.0862 images/s
[07/28 20:42:46] ppdet.engine INFO: Epoch: [223] [560/732] learning_rate: 0.029185 loss_vfl: 0.831392 loss_bbox: 0.410484 loss_dfl: 0.378451 loss: 1.621942 eta: 15:58:36 batch_cost: 0.6563 data_cost: 0.0016 ips: 60.9523 images/s
[07/28 20:43:01] ppdet.engine INFO: Epoch: [223] [580/732] learning_rate: 0.029170 loss_vfl: 0.874535 loss_bbox: 0.431948 loss_dfl: 0.393778 loss: 1.712255 eta: 15:58:12 batch_cost: 0.6436 data_cost: 0.0008 ips: 62.1459 images/s
[07/28 20:43:16] ppdet.engine INFO: Epoch: [223] [600/732] learning_rate: 0.029154 loss_vfl: 0.906796 loss_bbox: 0.439569 loss_dfl: 0.412272 loss: 1.770341 eta: 15:57:49 batch_cost: 0.6145 data_cost: 0.0006 ips: 65.0934 images/s
[07/28 20:43:31] ppdet.engine INFO: Epoch: [223] [620/732] learning_rate: 0.029139 loss_vfl: 0.955980 loss_bbox: 0.460134 loss_dfl: 0.421557 loss: 1.843285 eta: 15:57:25 batch_cost: 0.6292 data_cost: 0.0003 ips: 63.5761 images/s
[07/28 20:43:46] ppdet.engine INFO: Epoch: [223] [640/732] learning_rate: 0.029124 loss_vfl: 0.898313 loss_bbox: 0.436118 loss_dfl: 0.398183 loss: 1.746559 eta: 15:57:02 batch_cost: 0.6029 data_cost: 0.0005 ips: 66.3434 images/s
[07/28 20:44:02] ppdet.engine INFO: Epoch: [223] [660/732] learning_rate: 0.029109 loss_vfl: 0.913370 loss_bbox: 0.466339 loss_dfl: 0.423014 loss: 1.815646 eta: 15:56:39 batch_cost: 0.6481 data_cost: 0.0003 ips: 61.7223 images/s
[07/28 20:44:17] ppdet.engine INFO: Epoch: [223] [680/732] learning_rate: 0.029094 loss_vfl: 0.884962 loss_bbox: 0.445636 loss_dfl: 0.391736 loss: 1.736791 eta: 15:56:15 batch_cost: 0.6320 data_cost: 0.0003 ips: 63.2877 images/s
[07/28 20:44:32] ppdet.engine INFO: Epoch: [223] [700/732] learning_rate: 0.029079 loss_vfl: 0.878351 loss_bbox: 0.434766 loss_dfl: 0.402703 loss: 1.700165 eta: 15:55:52 batch_cost: 0.6366 data_cost: 0.0009 ips: 62.8311 images/s
[07/28 20:44:47] ppdet.engine INFO: Epoch: [223] [720/732] learning_rate: 0.029063 loss_vfl: 0.946922 loss_bbox: 0.460379 loss_dfl: 0.415521 loss: 1.821414 eta: 15:55:29 batch_cost: 0.6140 data_cost: 0.0004 ips: 65.1457 images/s
[07/28 20:45:01] ppdet.engine INFO: Epoch: [224] [  0/732] learning_rate: 0.029054 loss_vfl: 0.897195 loss_bbox: 0.436467 loss_dfl: 0.400043 loss: 1.719248 eta: 15:55:16 batch_cost: 0.7574 data_cost: 0.1702 ips: 52.8141 images/s
[07/28 20:45:19] ppdet.engine INFO: Epoch: [224] [ 20/732] learning_rate: 0.029039 loss_vfl: 0.916394 loss_bbox: 0.443255 loss_dfl: 0.410703 loss: 1.777432 eta: 15:54:53 batch_cost: 0.7431 data_cost: 0.0015 ips: 53.8263 images/s
[07/28 20:45:34] ppdet.engine INFO: Epoch: [224] [ 40/732] learning_rate: 0.029024 loss_vfl: 0.938725 loss_bbox: 0.449858 loss_dfl: 0.421969 loss: 1.825342 eta: 15:54:30 batch_cost: 0.6019 data_cost: 0.0003 ips: 66.4601 images/s
[07/28 20:45:50] ppdet.engine INFO: Epoch: [224] [ 60/732] learning_rate: 0.029009 loss_vfl: 0.923324 loss_bbox: 0.445297 loss_dfl: 0.409740 loss: 1.798113 eta: 15:54:07 batch_cost: 0.6593 data_cost: 0.0010 ips: 60.6746 images/s
[07/28 20:46:05] ppdet.engine INFO: Epoch: [224] [ 80/732] learning_rate: 0.028994 loss_vfl: 0.953527 loss_bbox: 0.467874 loss_dfl: 0.428164 loss: 1.840436 eta: 15:53:43 batch_cost: 0.6239 data_cost: 0.0009 ips: 64.1103 images/s
[07/28 20:46:20] ppdet.engine INFO: Epoch: [224] [100/732] learning_rate: 0.028979 loss_vfl: 0.919941 loss_bbox: 0.455438 loss_dfl: 0.420329 loss: 1.807610 eta: 15:53:20 batch_cost: 0.6125 data_cost: 0.0003 ips: 65.3018 images/s
[07/28 20:46:35] ppdet.engine INFO: Epoch: [224] [120/732] learning_rate: 0.028964 loss_vfl: 0.905605 loss_bbox: 0.430797 loss_dfl: 0.391361 loss: 1.708718 eta: 15:52:56 batch_cost: 0.6291 data_cost: 0.0016 ips: 63.5851 images/s
[07/28 20:46:51] ppdet.engine INFO: Epoch: [224] [140/732] learning_rate: 0.028949 loss_vfl: 0.958127 loss_bbox: 0.470367 loss_dfl: 0.433214 loss: 1.861971 eta: 15:52:33 batch_cost: 0.6147 data_cost: 0.0003 ips: 65.0672 images/s
[07/28 20:47:06] ppdet.engine INFO: Epoch: [224] [160/732] learning_rate: 0.028934 loss_vfl: 0.958870 loss_bbox: 0.475769 loss_dfl: 0.433364 loss: 1.861200 eta: 15:52:10 batch_cost: 0.6297 data_cost: 0.0009 ips: 63.5233 images/s
[07/28 20:47:20] ppdet.engine INFO: Epoch: [224] [180/732] learning_rate: 0.028918 loss_vfl: 0.898485 loss_bbox: 0.447884 loss_dfl: 0.416931 loss: 1.752781 eta: 15:51:46 batch_cost: 0.6013 data_cost: 0.0017 ips: 66.5245 images/s
[07/28 20:47:35] ppdet.engine INFO: Epoch: [224] [200/732] learning_rate: 0.028903 loss_vfl: 0.955099 loss_bbox: 0.466139 loss_dfl: 0.428341 loss: 1.863941 eta: 15:51:23 batch_cost: 0.6527 data_cost: 0.0010 ips: 61.2801 images/s
[07/28 20:47:51] ppdet.engine INFO: Epoch: [224] [220/732] learning_rate: 0.028888 loss_vfl: 0.901551 loss_bbox: 0.448636 loss_dfl: 0.402369 loss: 1.737433 eta: 15:51:00 batch_cost: 0.6562 data_cost: 0.0003 ips: 60.9615 images/s
[07/28 20:48:07] ppdet.engine INFO: Epoch: [224] [240/732] learning_rate: 0.028873 loss_vfl: 0.874546 loss_bbox: 0.414853 loss_dfl: 0.394567 loss: 1.703912 eta: 15:50:37 batch_cost: 0.6825 data_cost: 0.0003 ips: 58.6113 images/s
[07/28 20:48:23] ppdet.engine INFO: Epoch: [224] [260/732] learning_rate: 0.028858 loss_vfl: 0.887992 loss_bbox: 0.436055 loss_dfl: 0.395907 loss: 1.725477 eta: 15:50:14 batch_cost: 0.6768 data_cost: 0.0003 ips: 59.1021 images/s
[07/28 20:48:39] ppdet.engine INFO: Epoch: [224] [280/732] learning_rate: 0.028843 loss_vfl: 0.914614 loss_bbox: 0.434523 loss_dfl: 0.412493 loss: 1.783743 eta: 15:49:51 batch_cost: 0.6894 data_cost: 0.0014 ips: 58.0193 images/s
[07/28 20:48:54] ppdet.engine INFO: Epoch: [224] [300/732] learning_rate: 0.028828 loss_vfl: 0.909348 loss_bbox: 0.448472 loss_dfl: 0.398433 loss: 1.772742 eta: 15:49:28 batch_cost: 0.6218 data_cost: 0.0003 ips: 64.3256 images/s
[07/28 20:49:10] ppdet.engine INFO: Epoch: [224] [320/732] learning_rate: 0.028813 loss_vfl: 0.900403 loss_bbox: 0.428195 loss_dfl: 0.398816 loss: 1.725808 eta: 15:49:05 batch_cost: 0.6629 data_cost: 0.0016 ips: 60.3399 images/s
[07/28 20:49:24] ppdet.engine INFO: Epoch: [224] [340/732] learning_rate: 0.028798 loss_vfl: 0.970407 loss_bbox: 0.473667 loss_dfl: 0.442057 loss: 1.918199 eta: 15:48:42 batch_cost: 0.6304 data_cost: 0.0003 ips: 63.4544 images/s
[07/28 20:49:40] ppdet.engine INFO: Epoch: [224] [360/732] learning_rate: 0.028783 loss_vfl: 0.879285 loss_bbox: 0.440488 loss_dfl: 0.409161 loss: 1.760643 eta: 15:48:18 batch_cost: 0.6027 data_cost: 0.0003 ips: 66.3643 images/s
[07/28 20:49:54] ppdet.engine INFO: Epoch: [224] [380/732] learning_rate: 0.028768 loss_vfl: 0.872503 loss_bbox: 0.411186 loss_dfl: 0.380231 loss: 1.671464 eta: 15:47:55 batch_cost: 0.5926 data_cost: 0.0003 ips: 67.5029 images/s
[07/28 20:50:09] ppdet.engine INFO: Epoch: [224] [400/732] learning_rate: 0.028753 loss_vfl: 0.920788 loss_bbox: 0.456783 loss_dfl: 0.420575 loss: 1.789100 eta: 15:47:31 batch_cost: 0.6018 data_cost: 0.0003 ips: 66.4689 images/s
[07/28 20:50:25] ppdet.engine INFO: Epoch: [224] [420/732] learning_rate: 0.028738 loss_vfl: 0.986011 loss_bbox: 0.492006 loss_dfl: 0.450088 loss: 1.930845 eta: 15:47:08 batch_cost: 0.6677 data_cost: 0.0003 ips: 59.9066 images/s
[07/28 20:50:40] ppdet.engine INFO: Epoch: [224] [440/732] learning_rate: 0.028723 loss_vfl: 0.922868 loss_bbox: 0.449053 loss_dfl: 0.416634 loss: 1.783001 eta: 15:46:45 batch_cost: 0.5897 data_cost: 0.0003 ips: 67.8260 images/s
[07/28 20:50:55] ppdet.engine INFO: Epoch: [224] [460/732] learning_rate: 0.028708 loss_vfl: 0.884139 loss_bbox: 0.417126 loss_dfl: 0.391440 loss: 1.679328 eta: 15:46:21 batch_cost: 0.5704 data_cost: 0.0003 ips: 70.1207 images/s
[07/28 20:51:09] ppdet.engine INFO: Epoch: [224] [480/732] learning_rate: 0.028694 loss_vfl: 0.925992 loss_bbox: 0.439143 loss_dfl: 0.417847 loss: 1.807926 eta: 15:45:58 batch_cost: 0.6192 data_cost: 0.0004 ips: 64.5975 images/s
[07/28 20:51:24] ppdet.engine INFO: Epoch: [224] [500/732] learning_rate: 0.028679 loss_vfl: 0.927421 loss_bbox: 0.456086 loss_dfl: 0.421229 loss: 1.801271 eta: 15:45:34 batch_cost: 0.5867 data_cost: 0.0022 ips: 68.1772 images/s
[07/28 20:51:39] ppdet.engine INFO: Epoch: [224] [520/732] learning_rate: 0.028664 loss_vfl: 0.956830 loss_bbox: 0.457388 loss_dfl: 0.433248 loss: 1.883594 eta: 15:45:11 batch_cost: 0.6126 data_cost: 0.0003 ips: 65.2991 images/s
[07/28 20:51:53] ppdet.engine INFO: Epoch: [224] [540/732] learning_rate: 0.028649 loss_vfl: 0.939177 loss_bbox: 0.466305 loss_dfl: 0.414033 loss: 1.786384 eta: 15:44:47 batch_cost: 0.5454 data_cost: 0.0010 ips: 73.3434 images/s
[07/28 20:52:08] ppdet.engine INFO: Epoch: [224] [560/732] learning_rate: 0.028634 loss_vfl: 0.932197 loss_bbox: 0.426022 loss_dfl: 0.402463 loss: 1.757632 eta: 15:44:23 batch_cost: 0.6173 data_cost: 0.0003 ips: 64.8027 images/s
[07/28 20:52:24] ppdet.engine INFO: Epoch: [224] [580/732] learning_rate: 0.028619 loss_vfl: 0.915464 loss_bbox: 0.425595 loss_dfl: 0.400357 loss: 1.747510 eta: 15:44:00 batch_cost: 0.6605 data_cost: 0.0003 ips: 60.5568 images/s
[07/28 20:52:39] ppdet.engine INFO: Epoch: [224] [600/732] learning_rate: 0.028604 loss_vfl: 0.915876 loss_bbox: 0.426813 loss_dfl: 0.399514 loss: 1.740126 eta: 15:43:37 batch_cost: 0.5898 data_cost: 0.0003 ips: 67.8238 images/s
[07/28 20:52:53] ppdet.engine INFO: Epoch: [224] [620/732] learning_rate: 0.028589 loss_vfl: 0.930778 loss_bbox: 0.443749 loss_dfl: 0.416955 loss: 1.774933 eta: 15:43:13 batch_cost: 0.5529 data_cost: 0.0003 ips: 72.3488 images/s
[07/28 20:53:07] ppdet.engine INFO: Epoch: [224] [640/732] learning_rate: 0.028574 loss_vfl: 0.889180 loss_bbox: 0.457844 loss_dfl: 0.394297 loss: 1.710045 eta: 15:42:50 batch_cost: 0.5683 data_cost: 0.0009 ips: 70.3797 images/s
[07/28 20:53:21] ppdet.engine INFO: Epoch: [224] [660/732] learning_rate: 0.028559 loss_vfl: 0.940432 loss_bbox: 0.456288 loss_dfl: 0.425968 loss: 1.822521 eta: 15:42:26 batch_cost: 0.5951 data_cost: 0.0003 ips: 67.2187 images/s
[07/28 20:53:37] ppdet.engine INFO: Epoch: [224] [680/732] learning_rate: 0.028545 loss_vfl: 0.915328 loss_bbox: 0.442544 loss_dfl: 0.415633 loss: 1.776750 eta: 15:42:03 batch_cost: 0.6539 data_cost: 0.0003 ips: 61.1686 images/s
[07/28 20:53:52] ppdet.engine INFO: Epoch: [224] [700/732] learning_rate: 0.028530 loss_vfl: 0.908732 loss_bbox: 0.453165 loss_dfl: 0.424145 loss: 1.797600 eta: 15:41:40 batch_cost: 0.6263 data_cost: 0.0003 ips: 63.8630 images/s
[07/28 20:54:06] ppdet.engine INFO: Epoch: [224] [720/732] learning_rate: 0.028515 loss_vfl: 0.912249 loss_bbox: 0.462443 loss_dfl: 0.411889 loss: 1.804358 eta: 15:41:16 batch_cost: 0.5872 data_cost: 0.0003 ips: 68.1163 images/s
[07/28 20:54:19] ppdet.engine INFO: Epoch: [225] [  0/732] learning_rate: 0.028506 loss_vfl: 0.929533 loss_bbox: 0.447227 loss_dfl: 0.415914 loss: 1.809901 eta: 15:41:03 batch_cost: 0.7546 data_cost: 0.2328 ips: 53.0091 images/s
[07/28 20:54:36] ppdet.engine INFO: Epoch: [225] [ 20/732] learning_rate: 0.028491 loss_vfl: 0.933103 loss_bbox: 0.452241 loss_dfl: 0.423521 loss: 1.801643 eta: 15:40:41 batch_cost: 0.6946 data_cost: 0.0347 ips: 57.5896 images/s
[07/28 20:54:52] ppdet.engine INFO: Epoch: [225] [ 40/732] learning_rate: 0.028476 loss_vfl: 0.935067 loss_bbox: 0.450946 loss_dfl: 0.416250 loss: 1.809090 eta: 15:40:17 batch_cost: 0.6428 data_cost: 0.0003 ips: 62.2317 images/s
[07/28 20:55:08] ppdet.engine INFO: Epoch: [225] [ 60/732] learning_rate: 0.028462 loss_vfl: 0.886775 loss_bbox: 0.460325 loss_dfl: 0.403953 loss: 1.753141 eta: 15:39:54 batch_cost: 0.6622 data_cost: 0.0009 ips: 60.4090 images/s
[07/28 20:55:22] ppdet.engine INFO: Epoch: [225] [ 80/732] learning_rate: 0.028447 loss_vfl: 0.914466 loss_bbox: 0.467175 loss_dfl: 0.427554 loss: 1.813116 eta: 15:39:31 batch_cost: 0.5855 data_cost: 0.0003 ips: 68.3228 images/s
[07/28 20:55:38] ppdet.engine INFO: Epoch: [225] [100/732] learning_rate: 0.028432 loss_vfl: 0.939893 loss_bbox: 0.489205 loss_dfl: 0.425560 loss: 1.839843 eta: 15:39:08 batch_cost: 0.6475 data_cost: 0.0017 ips: 61.7760 images/s
[07/28 20:55:53] ppdet.engine INFO: Epoch: [225] [120/732] learning_rate: 0.028417 loss_vfl: 0.913194 loss_bbox: 0.444647 loss_dfl: 0.412798 loss: 1.777706 eta: 15:38:45 batch_cost: 0.6430 data_cost: 0.0003 ips: 62.2063 images/s
[07/28 20:56:08] ppdet.engine INFO: Epoch: [225] [140/732] learning_rate: 0.028402 loss_vfl: 0.902208 loss_bbox: 0.441228 loss_dfl: 0.398532 loss: 1.748753 eta: 15:38:21 batch_cost: 0.5812 data_cost: 0.0010 ips: 68.8173 images/s
[07/28 20:56:24] ppdet.engine INFO: Epoch: [225] [160/732] learning_rate: 0.028388 loss_vfl: 0.980282 loss_bbox: 0.480819 loss_dfl: 0.436711 loss: 1.875953 eta: 15:37:58 batch_cost: 0.6482 data_cost: 0.0003 ips: 61.7117 images/s
[07/28 20:56:38] ppdet.engine INFO: Epoch: [225] [180/732] learning_rate: 0.028373 loss_vfl: 0.871698 loss_bbox: 0.423900 loss_dfl: 0.386480 loss: 1.711846 eta: 15:37:35 batch_cost: 0.5987 data_cost: 0.0003 ips: 66.8112 images/s
[07/28 20:56:52] ppdet.engine INFO: Epoch: [225] [200/732] learning_rate: 0.028358 loss_vfl: 0.942895 loss_bbox: 0.447883 loss_dfl: 0.418965 loss: 1.825433 eta: 15:37:11 batch_cost: 0.5679 data_cost: 0.0008 ips: 70.4358 images/s
[07/28 20:57:06] ppdet.engine INFO: Epoch: [225] [220/732] learning_rate: 0.028343 loss_vfl: 0.875699 loss_bbox: 0.432590 loss_dfl: 0.395566 loss: 1.692655 eta: 15:36:47 batch_cost: 0.5466 data_cost: 0.0003 ips: 73.1791 images/s
[07/28 20:57:21] ppdet.engine INFO: Epoch: [225] [240/732] learning_rate: 0.028329 loss_vfl: 0.896289 loss_bbox: 0.438327 loss_dfl: 0.402388 loss: 1.720637 eta: 15:36:24 batch_cost: 0.5844 data_cost: 0.0003 ips: 68.4410 images/s
[07/28 20:57:35] ppdet.engine INFO: Epoch: [225] [260/732] learning_rate: 0.028314 loss_vfl: 0.908641 loss_bbox: 0.426314 loss_dfl: 0.401083 loss: 1.746053 eta: 15:36:00 batch_cost: 0.5530 data_cost: 0.0003 ips: 72.3310 images/s
[07/28 20:57:49] ppdet.engine INFO: Epoch: [225] [280/732] learning_rate: 0.028299 loss_vfl: 0.852783 loss_bbox: 0.410794 loss_dfl: 0.385305 loss: 1.652461 eta: 15:35:36 batch_cost: 0.5742 data_cost: 0.0003 ips: 69.6620 images/s
[07/28 20:58:03] ppdet.engine INFO: Epoch: [225] [300/732] learning_rate: 0.028284 loss_vfl: 0.871934 loss_bbox: 0.412931 loss_dfl: 0.383006 loss: 1.641007 eta: 15:35:13 batch_cost: 0.5716 data_cost: 0.0003 ips: 69.9773 images/s
[07/28 20:58:18] ppdet.engine INFO: Epoch: [225] [320/732] learning_rate: 0.028270 loss_vfl: 0.920942 loss_bbox: 0.458189 loss_dfl: 0.415638 loss: 1.807335 eta: 15:34:50 batch_cost: 0.6244 data_cost: 0.0014 ips: 64.0630 images/s
[07/28 20:58:33] ppdet.engine INFO: Epoch: [225] [340/732] learning_rate: 0.028255 loss_vfl: 0.907642 loss_bbox: 0.448797 loss_dfl: 0.410113 loss: 1.785787 eta: 15:34:26 batch_cost: 0.6166 data_cost: 0.0014 ips: 64.8673 images/s
[07/28 20:58:48] ppdet.engine INFO: Epoch: [225] [360/732] learning_rate: 0.028240 loss_vfl: 0.946844 loss_bbox: 0.443590 loss_dfl: 0.418992 loss: 1.818701 eta: 15:34:03 batch_cost: 0.6089 data_cost: 0.0003 ips: 65.6872 images/s
[07/28 20:59:02] ppdet.engine INFO: Epoch: [225] [380/732] learning_rate: 0.028226 loss_vfl: 0.955195 loss_bbox: 0.472188 loss_dfl: 0.444614 loss: 1.863690 eta: 15:33:40 batch_cost: 0.6152 data_cost: 0.0005 ips: 65.0178 images/s
[07/28 20:59:17] ppdet.engine INFO: Epoch: [225] [400/732] learning_rate: 0.028211 loss_vfl: 0.980455 loss_bbox: 0.460010 loss_dfl: 0.435190 loss: 1.827984 eta: 15:33:16 batch_cost: 0.5609 data_cost: 0.0003 ips: 71.3135 images/s
[07/28 20:59:31] ppdet.engine INFO: Epoch: [225] [420/732] learning_rate: 0.028196 loss_vfl: 0.923078 loss_bbox: 0.436680 loss_dfl: 0.402054 loss: 1.760439 eta: 15:32:53 batch_cost: 0.5731 data_cost: 0.0003 ips: 69.8010 images/s
[07/28 20:59:45] ppdet.engine INFO: Epoch: [225] [440/732] learning_rate: 0.028182 loss_vfl: 0.931425 loss_bbox: 0.434907 loss_dfl: 0.403879 loss: 1.764001 eta: 15:32:29 batch_cost: 0.5873 data_cost: 0.0010 ips: 68.1078 images/s
[07/28 21:00:00] ppdet.engine INFO: Epoch: [225] [460/732] learning_rate: 0.028167 loss_vfl: 0.930718 loss_bbox: 0.468831 loss_dfl: 0.418235 loss: 1.824466 eta: 15:32:06 batch_cost: 0.6073 data_cost: 0.0003 ips: 65.8634 images/s
[07/28 21:00:15] ppdet.engine INFO: Epoch: [225] [480/732] learning_rate: 0.028152 loss_vfl: 0.900520 loss_bbox: 0.435460 loss_dfl: 0.399863 loss: 1.726981 eta: 15:31:43 batch_cost: 0.6015 data_cost: 0.0003 ips: 66.4958 images/s
[07/28 21:00:31] ppdet.engine INFO: Epoch: [225] [500/732] learning_rate: 0.028138 loss_vfl: 0.901889 loss_bbox: 0.433119 loss_dfl: 0.399691 loss: 1.740711 eta: 15:31:20 batch_cost: 0.6550 data_cost: 0.0026 ips: 61.0708 images/s
[07/28 21:00:45] ppdet.engine INFO: Epoch: [225] [520/732] learning_rate: 0.028123 loss_vfl: 0.903388 loss_bbox: 0.435549 loss_dfl: 0.406595 loss: 1.724039 eta: 15:30:56 batch_cost: 0.5787 data_cost: 0.0016 ips: 69.1198 images/s
[07/28 21:01:00] ppdet.engine INFO: Epoch: [225] [540/732] learning_rate: 0.028109 loss_vfl: 0.940240 loss_bbox: 0.454399 loss_dfl: 0.420037 loss: 1.796342 eta: 15:30:33 batch_cost: 0.5786 data_cost: 0.0007 ips: 69.1363 images/s
[07/28 21:01:15] ppdet.engine INFO: Epoch: [225] [560/732] learning_rate: 0.028094 loss_vfl: 0.947094 loss_bbox: 0.468459 loss_dfl: 0.420517 loss: 1.819086 eta: 15:30:09 batch_cost: 0.6205 data_cost: 0.0008 ips: 64.4679 images/s
[07/28 21:01:31] ppdet.engine INFO: Epoch: [225] [580/732] learning_rate: 0.028079 loss_vfl: 0.940772 loss_bbox: 0.434287 loss_dfl: 0.423959 loss: 1.810406 eta: 15:29:46 batch_cost: 0.6303 data_cost: 0.0006 ips: 63.4612 images/s
[07/28 21:01:46] ppdet.engine INFO: Epoch: [225] [600/732] learning_rate: 0.028065 loss_vfl: 0.898534 loss_bbox: 0.426861 loss_dfl: 0.400773 loss: 1.721598 eta: 15:29:23 batch_cost: 0.6415 data_cost: 0.0012 ips: 62.3515 images/s
[07/28 21:02:01] ppdet.engine INFO: Epoch: [225] [620/732] learning_rate: 0.028050 loss_vfl: 0.929779 loss_bbox: 0.471117 loss_dfl: 0.430298 loss: 1.854372 eta: 15:29:00 batch_cost: 0.6124 data_cost: 0.0010 ips: 65.3184 images/s
[07/28 21:02:17] ppdet.engine INFO: Epoch: [225] [640/732] learning_rate: 0.028036 loss_vfl: 0.963452 loss_bbox: 0.471338 loss_dfl: 0.429407 loss: 1.865326 eta: 15:28:37 batch_cost: 0.6562 data_cost: 0.0029 ips: 60.9605 images/s
[07/28 21:02:32] ppdet.engine INFO: Epoch: [225] [660/732] learning_rate: 0.028021 loss_vfl: 0.917690 loss_bbox: 0.447984 loss_dfl: 0.403492 loss: 1.780543 eta: 15:28:14 batch_cost: 0.6061 data_cost: 0.0003 ips: 65.9950 images/s
[07/28 21:02:48] ppdet.engine INFO: Epoch: [225] [680/732] learning_rate: 0.028006 loss_vfl: 0.887101 loss_bbox: 0.441077 loss_dfl: 0.404505 loss: 1.733650 eta: 15:27:51 batch_cost: 0.6841 data_cost: 0.0007 ips: 58.4751 images/s
[07/28 21:03:03] ppdet.engine INFO: Epoch: [225] [700/732] learning_rate: 0.027992 loss_vfl: 0.915585 loss_bbox: 0.449533 loss_dfl: 0.401590 loss: 1.767720 eta: 15:27:28 batch_cost: 0.6270 data_cost: 0.0003 ips: 63.8000 images/s
[07/28 21:03:17] ppdet.engine INFO: Epoch: [225] [720/732] learning_rate: 0.027977 loss_vfl: 0.910764 loss_bbox: 0.450292 loss_dfl: 0.400468 loss: 1.747129 eta: 15:27:04 batch_cost: 0.5574 data_cost: 0.0004 ips: 71.7577 images/s
[07/28 21:03:29] ppdet.engine INFO: Epoch: [226] [  0/732] learning_rate: 0.027969 loss_vfl: 0.999940 loss_bbox: 0.464611 loss_dfl: 0.433360 loss: 1.886360 eta: 15:26:51 batch_cost: 0.7212 data_cost: 0.1398 ips: 55.4667 images/s
[07/28 21:03:47] ppdet.engine INFO: Epoch: [226] [ 20/732] learning_rate: 0.027954 loss_vfl: 0.925809 loss_bbox: 0.453863 loss_dfl: 0.413880 loss: 1.765286 eta: 15:26:28 batch_cost: 0.7089 data_cost: 0.0465 ips: 56.4259 images/s
[07/28 21:04:02] ppdet.engine INFO: Epoch: [226] [ 40/732] learning_rate: 0.027940 loss_vfl: 0.936222 loss_bbox: 0.455006 loss_dfl: 0.413348 loss: 1.807959 eta: 15:26:05 batch_cost: 0.6077 data_cost: 0.0003 ips: 65.8237 images/s
[07/28 21:04:19] ppdet.engine INFO: Epoch: [226] [ 60/732] learning_rate: 0.027925 loss_vfl: 0.926633 loss_bbox: 0.460604 loss_dfl: 0.422049 loss: 1.822059 eta: 15:25:42 batch_cost: 0.6924 data_cost: 0.0003 ips: 57.7717 images/s
[07/28 21:04:35] ppdet.engine INFO: Epoch: [226] [ 80/732] learning_rate: 0.027911 loss_vfl: 0.898336 loss_bbox: 0.445393 loss_dfl: 0.402040 loss: 1.745191 eta: 15:25:20 batch_cost: 0.6886 data_cost: 0.0003 ips: 58.0915 images/s
[07/28 21:04:49] ppdet.engine INFO: Epoch: [226] [100/732] learning_rate: 0.027896 loss_vfl: 0.925721 loss_bbox: 0.467945 loss_dfl: 0.413283 loss: 1.805973 eta: 15:24:56 batch_cost: 0.5726 data_cost: 0.0009 ips: 69.8541 images/s
[07/28 21:05:04] ppdet.engine INFO: Epoch: [226] [120/732] learning_rate: 0.027882 loss_vfl: 0.949474 loss_bbox: 0.432822 loss_dfl: 0.412865 loss: 1.766664 eta: 15:24:33 batch_cost: 0.6662 data_cost: 0.0003 ips: 60.0415 images/s
[07/28 21:05:21] ppdet.engine INFO: Epoch: [226] [140/732] learning_rate: 0.027867 loss_vfl: 0.945269 loss_bbox: 0.457831 loss_dfl: 0.418343 loss: 1.832436 eta: 15:24:10 batch_cost: 0.6509 data_cost: 0.0009 ips: 61.4562 images/s
[07/28 21:05:37] ppdet.engine INFO: Epoch: [226] [160/732] learning_rate: 0.027853 loss_vfl: 0.893101 loss_bbox: 0.433517 loss_dfl: 0.396723 loss: 1.715850 eta: 15:23:47 batch_cost: 0.6547 data_cost: 0.0003 ips: 61.0963 images/s
[07/28 21:05:51] ppdet.engine INFO: Epoch: [226] [180/732] learning_rate: 0.027838 loss_vfl: 0.854543 loss_bbox: 0.427955 loss_dfl: 0.387838 loss: 1.664578 eta: 15:23:24 batch_cost: 0.6065 data_cost: 0.0014 ips: 65.9523 images/s
[07/28 21:06:06] ppdet.engine INFO: Epoch: [226] [200/732] learning_rate: 0.027824 loss_vfl: 0.887789 loss_bbox: 0.426755 loss_dfl: 0.395619 loss: 1.707296 eta: 15:23:01 batch_cost: 0.6000 data_cost: 0.0007 ips: 66.6649 images/s
[07/28 21:06:21] ppdet.engine INFO: Epoch: [226] [220/732] learning_rate: 0.027809 loss_vfl: 0.921330 loss_bbox: 0.441006 loss_dfl: 0.404786 loss: 1.792988 eta: 15:22:37 batch_cost: 0.6097 data_cost: 0.0014 ips: 65.6019 images/s
[07/28 21:06:36] ppdet.engine INFO: Epoch: [226] [240/732] learning_rate: 0.027795 loss_vfl: 0.926717 loss_bbox: 0.451242 loss_dfl: 0.413271 loss: 1.778156 eta: 15:22:14 batch_cost: 0.6307 data_cost: 0.0011 ips: 63.4230 images/s
[07/28 21:06:51] ppdet.engine INFO: Epoch: [226] [260/732] learning_rate: 0.027780 loss_vfl: 0.946333 loss_bbox: 0.465929 loss_dfl: 0.420863 loss: 1.847874 eta: 15:21:51 batch_cost: 0.5913 data_cost: 0.0007 ips: 67.6492 images/s
[07/28 21:07:06] ppdet.engine INFO: Epoch: [226] [280/732] learning_rate: 0.027766 loss_vfl: 0.910199 loss_bbox: 0.434125 loss_dfl: 0.414566 loss: 1.804097 eta: 15:21:28 batch_cost: 0.6406 data_cost: 0.0003 ips: 62.4448 images/s
[07/28 21:07:23] ppdet.engine INFO: Epoch: [226] [300/732] learning_rate: 0.027752 loss_vfl: 0.919239 loss_bbox: 0.439094 loss_dfl: 0.410762 loss: 1.765427 eta: 15:21:05 batch_cost: 0.6695 data_cost: 0.0008 ips: 59.7498 images/s
[07/28 21:07:38] ppdet.engine INFO: Epoch: [226] [320/732] learning_rate: 0.027737 loss_vfl: 0.914637 loss_bbox: 0.443755 loss_dfl: 0.408604 loss: 1.751227 eta: 15:20:42 batch_cost: 0.6403 data_cost: 0.0008 ips: 62.4681 images/s
[07/28 21:07:54] ppdet.engine INFO: Epoch: [226] [340/732] learning_rate: 0.027723 loss_vfl: 0.916317 loss_bbox: 0.449127 loss_dfl: 0.411753 loss: 1.781892 eta: 15:20:19 batch_cost: 0.6235 data_cost: 0.0003 ips: 64.1574 images/s
[07/28 21:08:09] ppdet.engine INFO: Epoch: [226] [360/732] learning_rate: 0.027708 loss_vfl: 0.859293 loss_bbox: 0.435719 loss_dfl: 0.388981 loss: 1.665982 eta: 15:19:56 batch_cost: 0.6290 data_cost: 0.0004 ips: 63.5980 images/s
[07/28 21:08:24] ppdet.engine INFO: Epoch: [226] [380/732] learning_rate: 0.027694 loss_vfl: 0.884249 loss_bbox: 0.439282 loss_dfl: 0.418815 loss: 1.767864 eta: 15:19:33 batch_cost: 0.6061 data_cost: 0.0023 ips: 65.9929 images/s
[07/28 21:08:39] ppdet.engine INFO: Epoch: [226] [400/732] learning_rate: 0.027680 loss_vfl: 0.912222 loss_bbox: 0.435817 loss_dfl: 0.409519 loss: 1.748502 eta: 15:19:09 batch_cost: 0.6239 data_cost: 0.0003 ips: 64.1145 images/s
[07/28 21:08:55] ppdet.engine INFO: Epoch: [226] [420/732] learning_rate: 0.027665 loss_vfl: 0.911865 loss_bbox: 0.439867 loss_dfl: 0.418483 loss: 1.766724 eta: 15:18:47 batch_cost: 0.6803 data_cost: 0.0006 ips: 58.8011 images/s
[07/28 21:09:11] ppdet.engine INFO: Epoch: [226] [440/732] learning_rate: 0.027651 loss_vfl: 0.900409 loss_bbox: 0.446277 loss_dfl: 0.413457 loss: 1.746183 eta: 15:18:24 batch_cost: 0.6504 data_cost: 0.0003 ips: 61.5036 images/s
[07/28 21:09:26] ppdet.engine INFO: Epoch: [226] [460/732] learning_rate: 0.027637 loss_vfl: 0.938900 loss_bbox: 0.460887 loss_dfl: 0.426120 loss: 1.832421 eta: 15:18:01 batch_cost: 0.6403 data_cost: 0.0003 ips: 62.4741 images/s
[07/28 21:09:41] ppdet.engine INFO: Epoch: [226] [480/732] learning_rate: 0.027622 loss_vfl: 0.928368 loss_bbox: 0.425083 loss_dfl: 0.402537 loss: 1.760237 eta: 15:17:37 batch_cost: 0.5798 data_cost: 0.0016 ips: 68.9922 images/s
[07/28 21:09:56] ppdet.engine INFO: Epoch: [226] [500/732] learning_rate: 0.027608 loss_vfl: 0.884436 loss_bbox: 0.453515 loss_dfl: 0.420366 loss: 1.779401 eta: 15:17:14 batch_cost: 0.6089 data_cost: 0.0007 ips: 65.6869 images/s
[07/28 21:10:12] ppdet.engine INFO: Epoch: [226] [520/732] learning_rate: 0.027594 loss_vfl: 0.908969 loss_bbox: 0.417755 loss_dfl: 0.400698 loss: 1.729936 eta: 15:16:51 batch_cost: 0.6703 data_cost: 0.0003 ips: 59.6743 images/s
[07/28 21:10:28] ppdet.engine INFO: Epoch: [226] [540/732] learning_rate: 0.027579 loss_vfl: 0.937318 loss_bbox: 0.444927 loss_dfl: 0.419971 loss: 1.817110 eta: 15:16:28 batch_cost: 0.6345 data_cost: 0.0004 ips: 63.0435 images/s
[07/28 21:10:42] ppdet.engine INFO: Epoch: [226] [560/732] learning_rate: 0.027565 loss_vfl: 0.933495 loss_bbox: 0.472537 loss_dfl: 0.429435 loss: 1.856117 eta: 15:16:05 batch_cost: 0.6100 data_cost: 0.0003 ips: 65.5728 images/s
[07/28 21:10:57] ppdet.engine INFO: Epoch: [226] [580/732] learning_rate: 0.027551 loss_vfl: 0.909932 loss_bbox: 0.440613 loss_dfl: 0.404317 loss: 1.756960 eta: 15:15:42 batch_cost: 0.6098 data_cost: 0.0016 ips: 65.5945 images/s
[07/28 21:11:12] ppdet.engine INFO: Epoch: [226] [600/732] learning_rate: 0.027536 loss_vfl: 0.941168 loss_bbox: 0.434328 loss_dfl: 0.407889 loss: 1.787618 eta: 15:15:19 batch_cost: 0.5989 data_cost: 0.0013 ips: 66.7852 images/s
[07/28 21:11:27] ppdet.engine INFO: Epoch: [226] [620/732] learning_rate: 0.027522 loss_vfl: 0.917788 loss_bbox: 0.457923 loss_dfl: 0.409913 loss: 1.798887 eta: 15:14:55 batch_cost: 0.6064 data_cost: 0.0003 ips: 65.9623 images/s
[07/28 21:11:42] ppdet.engine INFO: Epoch: [226] [640/732] learning_rate: 0.027508 loss_vfl: 0.911774 loss_bbox: 0.449196 loss_dfl: 0.414768 loss: 1.781037 eta: 15:14:33 batch_cost: 0.6507 data_cost: 0.0004 ips: 61.4731 images/s
[07/28 21:11:57] ppdet.engine INFO: Epoch: [226] [660/732] learning_rate: 0.027493 loss_vfl: 0.937864 loss_bbox: 0.457882 loss_dfl: 0.415495 loss: 1.816848 eta: 15:14:09 batch_cost: 0.6151 data_cost: 0.0009 ips: 65.0320 images/s
[07/28 21:12:12] ppdet.engine INFO: Epoch: [226] [680/732] learning_rate: 0.027479 loss_vfl: 0.922634 loss_bbox: 0.433701 loss_dfl: 0.402266 loss: 1.764928 eta: 15:13:46 batch_cost: 0.6292 data_cost: 0.0004 ips: 63.5740 images/s
[07/28 21:12:28] ppdet.engine INFO: Epoch: [226] [700/732] learning_rate: 0.027465 loss_vfl: 0.872937 loss_bbox: 0.415706 loss_dfl: 0.392762 loss: 1.681405 eta: 15:13:23 batch_cost: 0.6375 data_cost: 0.0003 ips: 62.7479 images/s
[07/28 21:12:43] ppdet.engine INFO: Epoch: [226] [720/732] learning_rate: 0.027451 loss_vfl: 0.925604 loss_bbox: 0.418436 loss_dfl: 0.406110 loss: 1.769654 eta: 15:13:00 batch_cost: 0.6527 data_cost: 0.0009 ips: 61.2885 images/s
[07/28 21:12:57] ppdet.engine INFO: Epoch: [227] [  0/732] learning_rate: 0.027442 loss_vfl: 0.884736 loss_bbox: 0.413642 loss_dfl: 0.393990 loss: 1.670189 eta: 15:12:48 batch_cost: 0.8055 data_cost: 0.1989 ips: 49.6585 images/s
[07/28 21:13:13] ppdet.engine INFO: Epoch: [227] [ 20/732] learning_rate: 0.027428 loss_vfl: 0.921539 loss_bbox: 0.424409 loss_dfl: 0.398475 loss: 1.745199 eta: 15:12:25 batch_cost: 0.6317 data_cost: 0.0010 ips: 63.3238 images/s
[07/28 21:13:29] ppdet.engine INFO: Epoch: [227] [ 40/732] learning_rate: 0.027414 loss_vfl: 0.975917 loss_bbox: 0.469798 loss_dfl: 0.427554 loss: 1.881425 eta: 15:12:02 batch_cost: 0.6399 data_cost: 0.0010 ips: 62.5055 images/s
[07/28 21:13:44] ppdet.engine INFO: Epoch: [227] [ 60/732] learning_rate: 0.027400 loss_vfl: 0.935695 loss_bbox: 0.456805 loss_dfl: 0.418670 loss: 1.819024 eta: 15:11:39 batch_cost: 0.6173 data_cost: 0.0004 ips: 64.7934 images/s
[07/28 21:13:59] ppdet.engine INFO: Epoch: [227] [ 80/732] learning_rate: 0.027385 loss_vfl: 0.939488 loss_bbox: 0.491972 loss_dfl: 0.424084 loss: 1.855546 eta: 15:11:15 batch_cost: 0.5907 data_cost: 0.0004 ips: 67.7115 images/s
[07/28 21:14:14] ppdet.engine INFO: Epoch: [227] [100/732] learning_rate: 0.027371 loss_vfl: 0.841419 loss_bbox: 0.401986 loss_dfl: 0.385993 loss: 1.632082 eta: 15:10:52 batch_cost: 0.6241 data_cost: 0.0003 ips: 64.0941 images/s
[07/28 21:14:29] ppdet.engine INFO: Epoch: [227] [120/732] learning_rate: 0.027357 loss_vfl: 0.916305 loss_bbox: 0.438409 loss_dfl: 0.416226 loss: 1.780572 eta: 15:10:29 batch_cost: 0.6279 data_cost: 0.0012 ips: 63.7075 images/s
[07/28 21:14:44] ppdet.engine INFO: Epoch: [227] [140/732] learning_rate: 0.027343 loss_vfl: 0.941695 loss_bbox: 0.453197 loss_dfl: 0.411728 loss: 1.810347 eta: 15:10:06 batch_cost: 0.6088 data_cost: 0.0017 ips: 65.7062 images/s
[07/28 21:15:00] ppdet.engine INFO: Epoch: [227] [160/732] learning_rate: 0.027329 loss_vfl: 0.946519 loss_bbox: 0.470407 loss_dfl: 0.427880 loss: 1.864634 eta: 15:09:43 batch_cost: 0.6397 data_cost: 0.0003 ips: 62.5307 images/s
[07/28 21:15:16] ppdet.engine INFO: Epoch: [227] [180/732] learning_rate: 0.027314 loss_vfl: 0.925313 loss_bbox: 0.429770 loss_dfl: 0.405551 loss: 1.771138 eta: 15:09:21 batch_cost: 0.7117 data_cost: 0.0003 ips: 56.2012 images/s
[07/28 21:15:31] ppdet.engine INFO: Epoch: [227] [200/732] learning_rate: 0.027300 loss_vfl: 0.920802 loss_bbox: 0.447836 loss_dfl: 0.413831 loss: 1.796560 eta: 15:08:57 batch_cost: 0.6071 data_cost: 0.0003 ips: 65.8902 images/s
[07/28 21:15:45] ppdet.engine INFO: Epoch: [227] [220/732] learning_rate: 0.027286 loss_vfl: 0.944849 loss_bbox: 0.457730 loss_dfl: 0.420636 loss: 1.831104 eta: 15:08:34 batch_cost: 0.5787 data_cost: 0.0003 ips: 69.1261 images/s
[07/28 21:16:00] ppdet.engine INFO: Epoch: [227] [240/732] learning_rate: 0.027272 loss_vfl: 0.857749 loss_bbox: 0.417962 loss_dfl: 0.379684 loss: 1.671350 eta: 15:08:11 batch_cost: 0.6270 data_cost: 0.0007 ips: 63.7936 images/s
[07/28 21:16:14] ppdet.engine INFO: Epoch: [227] [260/732] learning_rate: 0.027258 loss_vfl: 0.920715 loss_bbox: 0.455808 loss_dfl: 0.413764 loss: 1.783455 eta: 15:07:48 batch_cost: 0.6145 data_cost: 0.0005 ips: 65.0982 images/s
[07/28 21:16:30] ppdet.engine INFO: Epoch: [227] [280/732] learning_rate: 0.027244 loss_vfl: 0.858090 loss_bbox: 0.437183 loss_dfl: 0.395958 loss: 1.679203 eta: 15:07:25 batch_cost: 0.6549 data_cost: 0.0011 ips: 61.0737 images/s
[07/28 21:16:45] ppdet.engine INFO: Epoch: [227] [300/732] learning_rate: 0.027230 loss_vfl: 0.903063 loss_bbox: 0.424085 loss_dfl: 0.405621 loss: 1.748176 eta: 15:07:02 batch_cost: 0.6339 data_cost: 0.0007 ips: 63.1045 images/s
[07/28 21:17:00] ppdet.engine INFO: Epoch: [227] [320/732] learning_rate: 0.027216 loss_vfl: 0.853244 loss_bbox: 0.429922 loss_dfl: 0.391385 loss: 1.674428 eta: 15:06:39 batch_cost: 0.5851 data_cost: 0.0009 ips: 68.3690 images/s
[07/28 21:17:16] ppdet.engine INFO: Epoch: [227] [340/732] learning_rate: 0.027201 loss_vfl: 0.947837 loss_bbox: 0.458671 loss_dfl: 0.426642 loss: 1.817306 eta: 15:06:16 batch_cost: 0.6482 data_cost: 0.0003 ips: 61.7049 images/s
[07/28 21:17:31] ppdet.engine INFO: Epoch: [227] [360/732] learning_rate: 0.027187 loss_vfl: 0.933612 loss_bbox: 0.483460 loss_dfl: 0.431211 loss: 1.839179 eta: 15:05:53 batch_cost: 0.6269 data_cost: 0.0003 ips: 63.8102 images/s
[07/28 21:17:46] ppdet.engine INFO: Epoch: [227] [380/732] learning_rate: 0.027173 loss_vfl: 0.917377 loss_bbox: 0.446662 loss_dfl: 0.411783 loss: 1.783095 eta: 15:05:30 batch_cost: 0.5664 data_cost: 0.0009 ips: 70.6190 images/s
[07/28 21:18:01] ppdet.engine INFO: Epoch: [227] [400/732] learning_rate: 0.027159 loss_vfl: 0.928948 loss_bbox: 0.459542 loss_dfl: 0.418761 loss: 1.816723 eta: 15:05:07 batch_cost: 0.6366 data_cost: 0.0003 ips: 62.8295 images/s
[07/28 21:18:16] ppdet.engine INFO: Epoch: [227] [420/732] learning_rate: 0.027145 loss_vfl: 0.909988 loss_bbox: 0.446211 loss_dfl: 0.401076 loss: 1.758554 eta: 15:04:43 batch_cost: 0.5864 data_cost: 0.0003 ips: 68.2116 images/s
[07/28 21:18:30] ppdet.engine INFO: Epoch: [227] [440/732] learning_rate: 0.027131 loss_vfl: 0.869416 loss_bbox: 0.439973 loss_dfl: 0.404378 loss: 1.733699 eta: 15:04:20 batch_cost: 0.6009 data_cost: 0.0009 ips: 66.5658 images/s
[07/28 21:18:45] ppdet.engine INFO: Epoch: [227] [460/732] learning_rate: 0.027117 loss_vfl: 0.923577 loss_bbox: 0.462250 loss_dfl: 0.420256 loss: 1.797066 eta: 15:03:57 batch_cost: 0.5979 data_cost: 0.0003 ips: 66.8984 images/s
[07/28 21:18:59] ppdet.engine INFO: Epoch: [227] [480/732] learning_rate: 0.027103 loss_vfl: 0.912265 loss_bbox: 0.432595 loss_dfl: 0.400223 loss: 1.713909 eta: 15:03:34 batch_cost: 0.5718 data_cost: 0.0007 ips: 69.9527 images/s
[07/28 21:19:16] ppdet.engine INFO: Epoch: [227] [500/732] learning_rate: 0.027089 loss_vfl: 0.954354 loss_bbox: 0.442037 loss_dfl: 0.423242 loss: 1.824525 eta: 15:03:11 batch_cost: 0.6835 data_cost: 0.0003 ips: 58.5226 images/s
[07/28 21:19:31] ppdet.engine INFO: Epoch: [227] [520/732] learning_rate: 0.027075 loss_vfl: 0.920797 loss_bbox: 0.443578 loss_dfl: 0.402494 loss: 1.751853 eta: 15:02:48 batch_cost: 0.6103 data_cost: 0.0003 ips: 65.5458 images/s
[07/28 21:19:47] ppdet.engine INFO: Epoch: [227] [540/732] learning_rate: 0.027061 loss_vfl: 0.916194 loss_bbox: 0.424136 loss_dfl: 0.415632 loss: 1.740180 eta: 15:02:25 batch_cost: 0.6126 data_cost: 0.0003 ips: 65.2928 images/s
[07/28 21:20:02] ppdet.engine INFO: Epoch: [227] [560/732] learning_rate: 0.027047 loss_vfl: 0.866929 loss_bbox: 0.404270 loss_dfl: 0.371866 loss: 1.634181 eta: 15:02:02 batch_cost: 0.6258 data_cost: 0.0003 ips: 63.9201 images/s
[07/28 21:20:18] ppdet.engine INFO: Epoch: [227] [580/732] learning_rate: 0.027033 loss_vfl: 0.894086 loss_bbox: 0.449881 loss_dfl: 0.413053 loss: 1.736626 eta: 15:01:39 batch_cost: 0.6751 data_cost: 0.0016 ips: 59.2468 images/s
[07/28 21:20:32] ppdet.engine INFO: Epoch: [227] [600/732] learning_rate: 0.027019 loss_vfl: 0.931400 loss_bbox: 0.468205 loss_dfl: 0.420426 loss: 1.812174 eta: 15:01:16 batch_cost: 0.5804 data_cost: 0.0004 ips: 68.9155 images/s
[07/28 21:20:47] ppdet.engine INFO: Epoch: [227] [620/732] learning_rate: 0.027005 loss_vfl: 0.887174 loss_bbox: 0.434515 loss_dfl: 0.403745 loss: 1.713797 eta: 15:00:53 batch_cost: 0.6627 data_cost: 0.0007 ips: 60.3592 images/s
[07/28 21:21:02] ppdet.engine INFO: Epoch: [227] [640/732] learning_rate: 0.026991 loss_vfl: 0.874089 loss_bbox: 0.434582 loss_dfl: 0.382937 loss: 1.687594 eta: 15:00:30 batch_cost: 0.6075 data_cost: 0.0011 ips: 65.8430 images/s
[07/28 21:21:18] ppdet.engine INFO: Epoch: [227] [660/732] learning_rate: 0.026977 loss_vfl: 0.965129 loss_bbox: 0.460253 loss_dfl: 0.438986 loss: 1.881505 eta: 15:00:07 batch_cost: 0.6525 data_cost: 0.0008 ips: 61.3047 images/s
[07/28 21:21:33] ppdet.engine INFO: Epoch: [227] [680/732] learning_rate: 0.026963 loss_vfl: 0.900447 loss_bbox: 0.437542 loss_dfl: 0.410034 loss: 1.740206 eta: 14:59:44 batch_cost: 0.6257 data_cost: 0.0003 ips: 63.9304 images/s
[07/28 21:21:49] ppdet.engine INFO: Epoch: [227] [700/732] learning_rate: 0.026949 loss_vfl: 0.858117 loss_bbox: 0.428049 loss_dfl: 0.384282 loss: 1.667118 eta: 14:59:21 batch_cost: 0.6156 data_cost: 0.0003 ips: 64.9815 images/s
[07/28 21:22:04] ppdet.engine INFO: Epoch: [227] [720/732] learning_rate: 0.026935 loss_vfl: 0.930130 loss_bbox: 0.432914 loss_dfl: 0.417434 loss: 1.779985 eta: 14:58:58 batch_cost: 0.6212 data_cost: 0.0004 ips: 64.3947 images/s
[07/28 21:22:17] ppdet.engine INFO: Epoch: [228] [  0/732] learning_rate: 0.026927 loss_vfl: 0.941341 loss_bbox: 0.447815 loss_dfl: 0.408814 loss: 1.778384 eta: 14:58:45 batch_cost: 0.7398 data_cost: 0.2087 ips: 54.0694 images/s
[07/28 21:22:33] ppdet.engine INFO: Epoch: [228] [ 20/732] learning_rate: 0.026913 loss_vfl: 0.891593 loss_bbox: 0.445860 loss_dfl: 0.408523 loss: 1.739815 eta: 14:58:22 batch_cost: 0.6051 data_cost: 0.0004 ips: 66.1046 images/s
[07/28 21:22:49] ppdet.engine INFO: Epoch: [228] [ 40/732] learning_rate: 0.026899 loss_vfl: 0.919320 loss_bbox: 0.430216 loss_dfl: 0.411945 loss: 1.762540 eta: 14:57:59 batch_cost: 0.6261 data_cost: 0.0003 ips: 63.8852 images/s
[07/28 21:23:05] ppdet.engine INFO: Epoch: [228] [ 60/732] learning_rate: 0.026885 loss_vfl: 0.854756 loss_bbox: 0.436091 loss_dfl: 0.395447 loss: 1.697245 eta: 14:57:37 batch_cost: 0.6940 data_cost: 0.0006 ips: 57.6344 images/s
[07/28 21:23:20] ppdet.engine INFO: Epoch: [228] [ 80/732] learning_rate: 0.026871 loss_vfl: 0.890259 loss_bbox: 0.440508 loss_dfl: 0.398269 loss: 1.740629 eta: 14:57:13 batch_cost: 0.5509 data_cost: 0.0003 ips: 72.6133 images/s
[07/28 21:23:35] ppdet.engine INFO: Epoch: [228] [100/732] learning_rate: 0.026857 loss_vfl: 0.910582 loss_bbox: 0.437040 loss_dfl: 0.409146 loss: 1.770489 eta: 14:56:50 batch_cost: 0.6098 data_cost: 0.0003 ips: 65.5987 images/s
[07/28 21:23:50] ppdet.engine INFO: Epoch: [228] [120/732] learning_rate: 0.026843 loss_vfl: 0.876659 loss_bbox: 0.410835 loss_dfl: 0.386289 loss: 1.648531 eta: 14:56:27 batch_cost: 0.6400 data_cost: 0.0003 ips: 62.5021 images/s
[07/28 21:24:04] ppdet.engine INFO: Epoch: [228] [140/732] learning_rate: 0.026830 loss_vfl: 0.867325 loss_bbox: 0.411735 loss_dfl: 0.390432 loss: 1.660635 eta: 14:56:04 batch_cost: 0.5926 data_cost: 0.0003 ips: 67.5024 images/s
[07/28 21:24:20] ppdet.engine INFO: Epoch: [228] [160/732] learning_rate: 0.026816 loss_vfl: 0.909617 loss_bbox: 0.422378 loss_dfl: 0.407671 loss: 1.744139 eta: 14:55:41 batch_cost: 0.6491 data_cost: 0.0003 ips: 61.6205 images/s
[07/28 21:24:34] ppdet.engine INFO: Epoch: [228] [180/732] learning_rate: 0.026802 loss_vfl: 0.851573 loss_bbox: 0.441291 loss_dfl: 0.401404 loss: 1.679780 eta: 14:55:18 batch_cost: 0.6106 data_cost: 0.0013 ips: 65.5054 images/s
[07/28 21:24:49] ppdet.engine INFO: Epoch: [228] [200/732] learning_rate: 0.026788 loss_vfl: 0.915943 loss_bbox: 0.458990 loss_dfl: 0.422218 loss: 1.806307 eta: 14:54:55 batch_cost: 0.6106 data_cost: 0.0010 ips: 65.5129 images/s
[07/28 21:25:04] ppdet.engine INFO: Epoch: [228] [220/732] learning_rate: 0.026774 loss_vfl: 0.935075 loss_bbox: 0.447134 loss_dfl: 0.415031 loss: 1.786140 eta: 14:54:32 batch_cost: 0.6090 data_cost: 0.0021 ips: 65.6867 images/s
[07/28 21:25:19] ppdet.engine INFO: Epoch: [228] [240/732] learning_rate: 0.026760 loss_vfl: 0.905373 loss_bbox: 0.429225 loss_dfl: 0.389611 loss: 1.710999 eta: 14:54:09 batch_cost: 0.6336 data_cost: 0.0009 ips: 63.1328 images/s
[07/28 21:25:34] ppdet.engine INFO: Epoch: [228] [260/732] learning_rate: 0.026747 loss_vfl: 0.915019 loss_bbox: 0.451028 loss_dfl: 0.417456 loss: 1.770837 eta: 14:53:46 batch_cost: 0.5977 data_cost: 0.0003 ips: 66.9189 images/s
[07/28 21:25:50] ppdet.engine INFO: Epoch: [228] [280/732] learning_rate: 0.026733 loss_vfl: 0.935212 loss_bbox: 0.472750 loss_dfl: 0.415158 loss: 1.811188 eta: 14:53:24 batch_cost: 0.6624 data_cost: 0.0010 ips: 60.3906 images/s
[07/28 21:26:05] ppdet.engine INFO: Epoch: [228] [300/732] learning_rate: 0.026719 loss_vfl: 0.924491 loss_bbox: 0.444375 loss_dfl: 0.400987 loss: 1.753141 eta: 14:53:01 batch_cost: 0.6313 data_cost: 0.0003 ips: 63.3580 images/s
[07/28 21:26:22] ppdet.engine INFO: Epoch: [228] [320/732] learning_rate: 0.026705 loss_vfl: 0.884129 loss_bbox: 0.440514 loss_dfl: 0.395885 loss: 1.729532 eta: 14:52:38 batch_cost: 0.7051 data_cost: 0.0003 ips: 56.7300 images/s
[07/28 21:26:38] ppdet.engine INFO: Epoch: [228] [340/732] learning_rate: 0.026691 loss_vfl: 0.933204 loss_bbox: 0.440171 loss_dfl: 0.417931 loss: 1.789595 eta: 14:52:15 batch_cost: 0.6267 data_cost: 0.0015 ips: 63.8292 images/s
[07/28 21:26:53] ppdet.engine INFO: Epoch: [228] [360/732] learning_rate: 0.026678 loss_vfl: 0.882456 loss_bbox: 0.431416 loss_dfl: 0.385943 loss: 1.689100 eta: 14:51:52 batch_cost: 0.6559 data_cost: 0.0003 ips: 60.9830 images/s
[07/28 21:27:07] ppdet.engine INFO: Epoch: [228] [380/732] learning_rate: 0.026664 loss_vfl: 0.906058 loss_bbox: 0.456983 loss_dfl: 0.423582 loss: 1.803271 eta: 14:51:29 batch_cost: 0.5770 data_cost: 0.0015 ips: 69.3199 images/s
[07/28 21:27:23] ppdet.engine INFO: Epoch: [228] [400/732] learning_rate: 0.026650 loss_vfl: 0.930060 loss_bbox: 0.444211 loss_dfl: 0.402316 loss: 1.763431 eta: 14:51:06 batch_cost: 0.6495 data_cost: 0.0005 ips: 61.5883 images/s
[07/28 21:27:38] ppdet.engine INFO: Epoch: [228] [420/732] learning_rate: 0.026636 loss_vfl: 0.867124 loss_bbox: 0.411975 loss_dfl: 0.387553 loss: 1.676202 eta: 14:50:43 batch_cost: 0.5856 data_cost: 0.0005 ips: 68.3030 images/s
[07/28 21:27:52] ppdet.engine INFO: Epoch: [228] [440/732] learning_rate: 0.026622 loss_vfl: 0.894146 loss_bbox: 0.421460 loss_dfl: 0.394711 loss: 1.699405 eta: 14:50:20 batch_cost: 0.6040 data_cost: 0.0003 ips: 66.2303 images/s
[07/28 21:28:08] ppdet.engine INFO: Epoch: [228] [460/732] learning_rate: 0.026609 loss_vfl: 0.909447 loss_bbox: 0.451018 loss_dfl: 0.409449 loss: 1.767595 eta: 14:49:57 batch_cost: 0.6424 data_cost: 0.0008 ips: 62.2634 images/s
[07/28 21:28:23] ppdet.engine INFO: Epoch: [228] [480/732] learning_rate: 0.026595 loss_vfl: 0.957896 loss_bbox: 0.486356 loss_dfl: 0.438756 loss: 1.882284 eta: 14:49:34 batch_cost: 0.6036 data_cost: 0.0005 ips: 66.2730 images/s
[07/28 21:28:38] ppdet.engine INFO: Epoch: [228] [500/732] learning_rate: 0.026581 loss_vfl: 0.942785 loss_bbox: 0.479267 loss_dfl: 0.423729 loss: 1.867395 eta: 14:49:11 batch_cost: 0.6019 data_cost: 0.0003 ips: 66.4589 images/s
[07/28 21:28:53] ppdet.engine INFO: Epoch: [228] [520/732] learning_rate: 0.026568 loss_vfl: 0.883707 loss_bbox: 0.431579 loss_dfl: 0.398542 loss: 1.691388 eta: 14:48:49 batch_cost: 0.6406 data_cost: 0.0016 ips: 62.4430 images/s
[07/28 21:29:08] ppdet.engine INFO: Epoch: [228] [540/732] learning_rate: 0.026554 loss_vfl: 0.955182 loss_bbox: 0.482368 loss_dfl: 0.430110 loss: 1.880458 eta: 14:48:26 batch_cost: 0.6452 data_cost: 0.0007 ips: 61.9949 images/s
[07/28 21:29:23] ppdet.engine INFO: Epoch: [228] [560/732] learning_rate: 0.026540 loss_vfl: 0.895145 loss_bbox: 0.439125 loss_dfl: 0.398103 loss: 1.737194 eta: 14:48:03 batch_cost: 0.5868 data_cost: 0.0003 ips: 68.1639 images/s
[07/28 21:29:38] ppdet.engine INFO: Epoch: [228] [580/732] learning_rate: 0.026526 loss_vfl: 0.879075 loss_bbox: 0.418490 loss_dfl: 0.404780 loss: 1.741278 eta: 14:47:40 batch_cost: 0.6265 data_cost: 0.0011 ips: 63.8443 images/s
[07/28 21:29:52] ppdet.engine INFO: Epoch: [228] [600/732] learning_rate: 0.026513 loss_vfl: 0.887989 loss_bbox: 0.429596 loss_dfl: 0.400569 loss: 1.731540 eta: 14:47:17 batch_cost: 0.6020 data_cost: 0.0009 ips: 66.4411 images/s
[07/28 21:30:06] ppdet.engine INFO: Epoch: [228] [620/732] learning_rate: 0.026499 loss_vfl: 0.872932 loss_bbox: 0.433657 loss_dfl: 0.386546 loss: 1.663496 eta: 14:46:53 batch_cost: 0.5796 data_cost: 0.0004 ips: 69.0119 images/s
[07/28 21:30:21] ppdet.engine INFO: Epoch: [228] [640/732] learning_rate: 0.026485 loss_vfl: 0.896534 loss_bbox: 0.435852 loss_dfl: 0.402537 loss: 1.704469 eta: 14:46:30 batch_cost: 0.6125 data_cost: 0.0003 ips: 65.3089 images/s
[07/28 21:30:36] ppdet.engine INFO: Epoch: [228] [660/732] learning_rate: 0.026472 loss_vfl: 0.977140 loss_bbox: 0.447763 loss_dfl: 0.424830 loss: 1.862287 eta: 14:46:08 batch_cost: 0.6397 data_cost: 0.0003 ips: 62.5314 images/s
[07/28 21:30:51] ppdet.engine INFO: Epoch: [228] [680/732] learning_rate: 0.026458 loss_vfl: 0.976045 loss_bbox: 0.465916 loss_dfl: 0.433887 loss: 1.879600 eta: 14:45:45 batch_cost: 0.6055 data_cost: 0.0035 ips: 66.0564 images/s
[07/28 21:31:06] ppdet.engine INFO: Epoch: [228] [700/732] learning_rate: 0.026444 loss_vfl: 0.921415 loss_bbox: 0.424430 loss_dfl: 0.394872 loss: 1.744316 eta: 14:45:22 batch_cost: 0.6296 data_cost: 0.0038 ips: 63.5316 images/s
[07/28 21:31:20] ppdet.engine INFO: Epoch: [228] [720/732] learning_rate: 0.026431 loss_vfl: 0.890154 loss_bbox: 0.422787 loss_dfl: 0.402008 loss: 1.725912 eta: 14:44:58 batch_cost: 0.5509 data_cost: 0.0010 ips: 72.6070 images/s
[07/28 21:31:34] ppdet.engine INFO: Epoch: [229] [  0/732] learning_rate: 0.026423 loss_vfl: 0.899446 loss_bbox: 0.447271 loss_dfl: 0.401530 loss: 1.763143 eta: 14:44:46 batch_cost: 0.7854 data_cost: 0.1694 ips: 50.9312 images/s
[07/28 21:31:50] ppdet.engine INFO: Epoch: [229] [ 20/732] learning_rate: 0.026409 loss_vfl: 0.918468 loss_bbox: 0.455824 loss_dfl: 0.416235 loss: 1.794896 eta: 14:44:23 batch_cost: 0.6191 data_cost: 0.0003 ips: 64.6147 images/s
[07/28 21:32:04] ppdet.engine INFO: Epoch: [229] [ 40/732] learning_rate: 0.026395 loss_vfl: 0.919579 loss_bbox: 0.438374 loss_dfl: 0.417244 loss: 1.769884 eta: 14:44:00 batch_cost: 0.5484 data_cost: 0.0003 ips: 72.9459 images/s
[07/28 21:32:20] ppdet.engine INFO: Epoch: [229] [ 60/732] learning_rate: 0.026382 loss_vfl: 0.910168 loss_bbox: 0.425399 loss_dfl: 0.405244 loss: 1.735005 eta: 14:43:37 batch_cost: 0.6654 data_cost: 0.0003 ips: 60.1173 images/s
[07/28 21:32:35] ppdet.engine INFO: Epoch: [229] [ 80/732] learning_rate: 0.026368 loss_vfl: 0.917679 loss_bbox: 0.427824 loss_dfl: 0.408409 loss: 1.765198 eta: 14:43:14 batch_cost: 0.5840 data_cost: 0.0003 ips: 68.4899 images/s
[07/28 21:32:50] ppdet.engine INFO: Epoch: [229] [100/732] learning_rate: 0.026355 loss_vfl: 0.907746 loss_bbox: 0.411596 loss_dfl: 0.399056 loss: 1.714738 eta: 14:42:51 batch_cost: 0.6064 data_cost: 0.0007 ips: 65.9600 images/s
[07/28 21:33:05] ppdet.engine INFO: Epoch: [229] [120/732] learning_rate: 0.026341 loss_vfl: 0.926394 loss_bbox: 0.440579 loss_dfl: 0.419400 loss: 1.806757 eta: 14:42:28 batch_cost: 0.6235 data_cost: 0.0003 ips: 64.1559 images/s
[07/28 21:33:20] ppdet.engine INFO: Epoch: [229] [140/732] learning_rate: 0.026328 loss_vfl: 0.920667 loss_bbox: 0.445129 loss_dfl: 0.412133 loss: 1.760170 eta: 14:42:05 batch_cost: 0.6520 data_cost: 0.0013 ips: 61.3510 images/s
[07/28 21:33:35] ppdet.engine INFO: Epoch: [229] [160/732] learning_rate: 0.026314 loss_vfl: 0.922473 loss_bbox: 0.469300 loss_dfl: 0.428039 loss: 1.827528 eta: 14:41:42 batch_cost: 0.6061 data_cost: 0.0012 ips: 65.9969 images/s
[07/28 21:33:51] ppdet.engine INFO: Epoch: [229] [180/732] learning_rate: 0.026300 loss_vfl: 0.879945 loss_bbox: 0.419641 loss_dfl: 0.396003 loss: 1.719360 eta: 14:41:20 batch_cost: 0.6588 data_cost: 0.0010 ips: 60.7196 images/s
[07/28 21:34:05] ppdet.engine INFO: Epoch: [229] [200/732] learning_rate: 0.026287 loss_vfl: 0.868280 loss_bbox: 0.425673 loss_dfl: 0.390913 loss: 1.721237 eta: 14:40:56 batch_cost: 0.5435 data_cost: 0.0003 ips: 73.5961 images/s
[07/28 21:34:19] ppdet.engine INFO: Epoch: [229] [220/732] learning_rate: 0.026273 loss_vfl: 0.908667 loss_bbox: 0.454902 loss_dfl: 0.404357 loss: 1.773029 eta: 14:40:33 batch_cost: 0.5601 data_cost: 0.0003 ips: 71.4173 images/s
[07/28 21:34:34] ppdet.engine INFO: Epoch: [229] [240/732] learning_rate: 0.026260 loss_vfl: 0.942017 loss_bbox: 0.454623 loss_dfl: 0.423435 loss: 1.810237 eta: 14:40:10 batch_cost: 0.5989 data_cost: 0.0003 ips: 66.7926 images/s
[07/28 21:34:49] ppdet.engine INFO: Epoch: [229] [260/732] learning_rate: 0.026246 loss_vfl: 0.899339 loss_bbox: 0.440656 loss_dfl: 0.404321 loss: 1.738922 eta: 14:39:47 batch_cost: 0.6326 data_cost: 0.0003 ips: 63.2293 images/s
[07/28 21:35:05] ppdet.engine INFO: Epoch: [229] [280/732] learning_rate: 0.026233 loss_vfl: 0.907813 loss_bbox: 0.451679 loss_dfl: 0.418760 loss: 1.786024 eta: 14:39:24 batch_cost: 0.6098 data_cost: 0.0004 ips: 65.5947 images/s
[07/28 21:35:20] ppdet.engine INFO: Epoch: [229] [300/732] learning_rate: 0.026219 loss_vfl: 0.920441 loss_bbox: 0.463577 loss_dfl: 0.421207 loss: 1.802305 eta: 14:39:02 batch_cost: 0.6531 data_cost: 0.0003 ips: 61.2471 images/s
[07/28 21:35:35] ppdet.engine INFO: Epoch: [229] [320/732] learning_rate: 0.026206 loss_vfl: 0.927345 loss_bbox: 0.439452 loss_dfl: 0.414843 loss: 1.811232 eta: 14:38:39 batch_cost: 0.6265 data_cost: 0.0003 ips: 63.8491 images/s
[07/28 21:35:51] ppdet.engine INFO: Epoch: [229] [340/732] learning_rate: 0.026192 loss_vfl: 0.914538 loss_bbox: 0.448887 loss_dfl: 0.415308 loss: 1.776372 eta: 14:38:16 batch_cost: 0.6362 data_cost: 0.0011 ips: 62.8693 images/s
[07/28 21:36:07] ppdet.engine INFO: Epoch: [229] [360/732] learning_rate: 0.026179 loss_vfl: 0.896910 loss_bbox: 0.442133 loss_dfl: 0.402610 loss: 1.725790 eta: 14:37:53 batch_cost: 0.6383 data_cost: 0.0003 ips: 62.6670 images/s
[07/28 21:36:21] ppdet.engine INFO: Epoch: [229] [380/732] learning_rate: 0.026165 loss_vfl: 0.876946 loss_bbox: 0.429347 loss_dfl: 0.391867 loss: 1.696985 eta: 14:37:30 batch_cost: 0.6011 data_cost: 0.0008 ips: 66.5483 images/s
[07/28 21:36:36] ppdet.engine INFO: Epoch: [229] [400/732] learning_rate: 0.026152 loss_vfl: 0.932187 loss_bbox: 0.467447 loss_dfl: 0.432175 loss: 1.819240 eta: 14:37:07 batch_cost: 0.5919 data_cost: 0.0003 ips: 67.5733 images/s
[07/28 21:36:50] ppdet.engine INFO: Epoch: [229] [420/732] learning_rate: 0.026138 loss_vfl: 0.925655 loss_bbox: 0.445215 loss_dfl: 0.414539 loss: 1.793711 eta: 14:36:44 batch_cost: 0.5626 data_cost: 0.0004 ips: 71.1043 images/s
[07/28 21:37:07] ppdet.engine INFO: Epoch: [229] [440/732] learning_rate: 0.026125 loss_vfl: 0.934210 loss_bbox: 0.441749 loss_dfl: 0.420344 loss: 1.797458 eta: 14:36:22 batch_cost: 0.6896 data_cost: 0.0008 ips: 58.0079 images/s
[07/28 21:37:22] ppdet.engine INFO: Epoch: [229] [460/732] learning_rate: 0.026112 loss_vfl: 0.903837 loss_bbox: 0.438403 loss_dfl: 0.406772 loss: 1.753800 eta: 14:35:58 batch_cost: 0.5680 data_cost: 0.0003 ips: 70.4166 images/s
[07/28 21:37:37] ppdet.engine INFO: Epoch: [229] [480/732] learning_rate: 0.026098 loss_vfl: 0.915803 loss_bbox: 0.465689 loss_dfl: 0.410942 loss: 1.790811 eta: 14:35:36 batch_cost: 0.6184 data_cost: 0.0009 ips: 64.6782 images/s
[07/28 21:37:52] ppdet.engine INFO: Epoch: [229] [500/732] learning_rate: 0.026085 loss_vfl: 0.863852 loss_bbox: 0.448097 loss_dfl: 0.400474 loss: 1.727741 eta: 14:35:12 batch_cost: 0.5760 data_cost: 0.0020 ips: 69.4498 images/s
[07/28 21:38:07] ppdet.engine INFO: Epoch: [229] [520/732] learning_rate: 0.026071 loss_vfl: 0.967179 loss_bbox: 0.485757 loss_dfl: 0.442185 loss: 1.877557 eta: 14:34:50 batch_cost: 0.6390 data_cost: 0.0004 ips: 62.5953 images/s
[07/28 21:38:21] ppdet.engine INFO: Epoch: [229] [540/732] learning_rate: 0.026058 loss_vfl: 0.998980 loss_bbox: 0.486690 loss_dfl: 0.448086 loss: 1.940227 eta: 14:34:26 batch_cost: 0.5490 data_cost: 0.0003 ips: 72.8592 images/s
[07/28 21:38:36] ppdet.engine INFO: Epoch: [229] [560/732] learning_rate: 0.026045 loss_vfl: 0.864599 loss_bbox: 0.442244 loss_dfl: 0.392083 loss: 1.700392 eta: 14:34:03 batch_cost: 0.6109 data_cost: 0.0003 ips: 65.4736 images/s
[07/28 21:38:50] ppdet.engine INFO: Epoch: [229] [580/732] learning_rate: 0.026031 loss_vfl: 0.901544 loss_bbox: 0.436375 loss_dfl: 0.400124 loss: 1.747916 eta: 14:33:40 batch_cost: 0.5923 data_cost: 0.0006 ips: 67.5303 images/s
[07/28 21:39:05] ppdet.engine INFO: Epoch: [229] [600/732] learning_rate: 0.026018 loss_vfl: 0.871477 loss_bbox: 0.436075 loss_dfl: 0.393471 loss: 1.712554 eta: 14:33:18 batch_cost: 0.6386 data_cost: 0.0009 ips: 62.6416 images/s
[07/28 21:39:21] ppdet.engine INFO: Epoch: [229] [620/732] learning_rate: 0.026004 loss_vfl: 0.940870 loss_bbox: 0.469388 loss_dfl: 0.424047 loss: 1.830407 eta: 14:32:55 batch_cost: 0.6189 data_cost: 0.0008 ips: 64.6309 images/s
[07/28 21:39:36] ppdet.engine INFO: Epoch: [229] [640/732] learning_rate: 0.025991 loss_vfl: 0.968862 loss_bbox: 0.459798 loss_dfl: 0.424536 loss: 1.853269 eta: 14:32:32 batch_cost: 0.5822 data_cost: 0.0003 ips: 68.7067 images/s
[07/28 21:39:50] ppdet.engine INFO: Epoch: [229] [660/732] learning_rate: 0.025978 loss_vfl: 0.864987 loss_bbox: 0.407775 loss_dfl: 0.383721 loss: 1.668615 eta: 14:32:09 batch_cost: 0.5506 data_cost: 0.0011 ips: 72.6488 images/s
[07/28 21:40:04] ppdet.engine INFO: Epoch: [229] [680/732] learning_rate: 0.025964 loss_vfl: 0.921822 loss_bbox: 0.422625 loss_dfl: 0.405550 loss: 1.744321 eta: 14:31:46 batch_cost: 0.5902 data_cost: 0.0003 ips: 67.7719 images/s
[07/28 21:40:19] ppdet.engine INFO: Epoch: [229] [700/732] learning_rate: 0.025951 loss_vfl: 0.914187 loss_bbox: 0.448824 loss_dfl: 0.398187 loss: 1.758876 eta: 14:31:23 batch_cost: 0.6276 data_cost: 0.0003 ips: 63.7358 images/s
[07/28 21:40:36] ppdet.engine INFO: Epoch: [229] [720/732] learning_rate: 0.025938 loss_vfl: 0.954942 loss_bbox: 0.455081 loss_dfl: 0.419291 loss: 1.810253 eta: 14:31:00 batch_cost: 0.6627 data_cost: 0.0004 ips: 60.3587 images/s
[07/28 21:40:44] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 21:40:44] ppdet.engine INFO: Eval iter: 0
[07/28 21:40:59] ppdet.engine INFO: Eval iter: 100
[07/28 21:41:07] ppdet.engine INFO: Eval iter: 200
[07/28 21:41:15] ppdet.engine INFO: Eval iter: 300
[07/28 21:41:23] ppdet.engine INFO: Eval iter: 400
[07/28 21:41:32] ppdet.engine INFO: Eval iter: 500
[07/28 21:41:40] ppdet.engine INFO: Eval iter: 600
[07/28 21:41:56] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.95s)
creating index...
index created!
[07/28 21:41:57] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.79s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.41s).
Accumulating evaluation results...
DONE (t=18.51s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.298
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.439
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.316
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.108
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.317
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.460
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.274
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.447
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.477
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.216
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.532
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.706
[07/28 21:44:03] ppdet.engine INFO: Total sample number: 4952, averge FPS: 84.74765422554398
[07/28 21:44:03] ppdet.engine INFO: Best test bbox ap is 0.298.
[07/28 21:44:03] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 21:44:04] ppdet.engine INFO: Epoch: [230] [  0/732] learning_rate: 0.025930 loss_vfl: 0.954096 loss_bbox: 0.455081 loss_dfl: 0.425945 loss: 1.838261 eta: 14:30:46 batch_cost: 0.5522 data_cost: 0.0003 ips: 72.4367 images/s
[07/28 21:44:20] ppdet.engine INFO: Epoch: [230] [ 20/732] learning_rate: 0.025916 loss_vfl: 0.933987 loss_bbox: 0.444796 loss_dfl: 0.420951 loss: 1.809263 eta: 14:30:24 batch_cost: 0.6760 data_cost: 0.0002 ips: 59.1690 images/s
[07/28 21:44:35] ppdet.engine INFO: Epoch: [230] [ 40/732] learning_rate: 0.025903 loss_vfl: 0.944346 loss_bbox: 0.455369 loss_dfl: 0.416706 loss: 1.819223 eta: 14:30:01 batch_cost: 0.6548 data_cost: 0.0003 ips: 61.0828 images/s
[07/28 21:44:50] ppdet.engine INFO: Epoch: [230] [ 60/732] learning_rate: 0.025890 loss_vfl: 0.935606 loss_bbox: 0.474861 loss_dfl: 0.410223 loss: 1.813251 eta: 14:29:38 batch_cost: 0.5704 data_cost: 0.0003 ips: 70.1323 images/s
[07/28 21:45:06] ppdet.engine INFO: Epoch: [230] [ 80/732] learning_rate: 0.025877 loss_vfl: 0.911052 loss_bbox: 0.440795 loss_dfl: 0.414502 loss: 1.766883 eta: 14:29:15 batch_cost: 0.6814 data_cost: 0.0003 ips: 58.7038 images/s
[07/28 21:45:21] ppdet.engine INFO: Epoch: [230] [100/732] learning_rate: 0.025863 loss_vfl: 0.920665 loss_bbox: 0.459528 loss_dfl: 0.418685 loss: 1.802768 eta: 14:28:53 batch_cost: 0.6209 data_cost: 0.0003 ips: 64.4247 images/s
[07/28 21:45:36] ppdet.engine INFO: Epoch: [230] [120/732] learning_rate: 0.025850 loss_vfl: 0.937169 loss_bbox: 0.454576 loss_dfl: 0.431268 loss: 1.825312 eta: 14:28:29 batch_cost: 0.5779 data_cost: 0.0009 ips: 69.2111 images/s
[07/28 21:45:52] ppdet.engine INFO: Epoch: [230] [140/732] learning_rate: 0.025837 loss_vfl: 0.916531 loss_bbox: 0.468632 loss_dfl: 0.417995 loss: 1.824484 eta: 14:28:07 batch_cost: 0.6693 data_cost: 0.0003 ips: 59.7679 images/s
[07/28 21:46:06] ppdet.engine INFO: Epoch: [230] [160/732] learning_rate: 0.025823 loss_vfl: 0.923218 loss_bbox: 0.452189 loss_dfl: 0.422160 loss: 1.797020 eta: 14:27:44 batch_cost: 0.6074 data_cost: 0.0003 ips: 65.8496 images/s
[07/28 21:46:21] ppdet.engine INFO: Epoch: [230] [180/732] learning_rate: 0.025810 loss_vfl: 0.941572 loss_bbox: 0.479532 loss_dfl: 0.422415 loss: 1.853367 eta: 14:27:21 batch_cost: 0.5819 data_cost: 0.0003 ips: 68.7441 images/s
[07/28 21:46:36] ppdet.engine INFO: Epoch: [230] [200/732] learning_rate: 0.025797 loss_vfl: 0.849239 loss_bbox: 0.407779 loss_dfl: 0.385704 loss: 1.632907 eta: 14:26:58 batch_cost: 0.6061 data_cost: 0.0014 ips: 65.9956 images/s
[07/28 21:46:52] ppdet.engine INFO: Epoch: [230] [220/732] learning_rate: 0.025784 loss_vfl: 0.909135 loss_bbox: 0.411289 loss_dfl: 0.386178 loss: 1.703799 eta: 14:26:35 batch_cost: 0.6267 data_cost: 0.0011 ips: 63.8262 images/s
[07/28 21:47:08] ppdet.engine INFO: Epoch: [230] [240/732] learning_rate: 0.025771 loss_vfl: 0.932552 loss_bbox: 0.472075 loss_dfl: 0.421653 loss: 1.812737 eta: 14:26:13 batch_cost: 0.6562 data_cost: 0.0005 ips: 60.9544 images/s
[07/28 21:47:23] ppdet.engine INFO: Epoch: [230] [260/732] learning_rate: 0.025757 loss_vfl: 0.944219 loss_bbox: 0.427485 loss_dfl: 0.417252 loss: 1.797386 eta: 14:25:50 batch_cost: 0.6613 data_cost: 0.0014 ips: 60.4914 images/s
[07/28 21:47:38] ppdet.engine INFO: Epoch: [230] [280/732] learning_rate: 0.025744 loss_vfl: 0.862908 loss_bbox: 0.423346 loss_dfl: 0.401130 loss: 1.706512 eta: 14:25:27 batch_cost: 0.5422 data_cost: 0.0007 ips: 73.7781 images/s
[07/28 21:47:53] ppdet.engine INFO: Epoch: [230] [300/732] learning_rate: 0.025731 loss_vfl: 0.899074 loss_bbox: 0.442064 loss_dfl: 0.398358 loss: 1.732418 eta: 14:25:04 batch_cost: 0.5918 data_cost: 0.0008 ips: 67.5958 images/s
[07/28 21:48:07] ppdet.engine INFO: Epoch: [230] [320/732] learning_rate: 0.025718 loss_vfl: 0.903629 loss_bbox: 0.447873 loss_dfl: 0.408036 loss: 1.743824 eta: 14:24:41 batch_cost: 0.5766 data_cost: 0.0015 ips: 69.3699 images/s
[07/28 21:48:21] ppdet.engine INFO: Epoch: [230] [340/732] learning_rate: 0.025705 loss_vfl: 0.894425 loss_bbox: 0.452461 loss_dfl: 0.407064 loss: 1.753483 eta: 14:24:18 batch_cost: 0.5368 data_cost: 0.0009 ips: 74.5209 images/s
[07/28 21:48:35] ppdet.engine INFO: Epoch: [230] [360/732] learning_rate: 0.025691 loss_vfl: 0.932731 loss_bbox: 0.474375 loss_dfl: 0.426463 loss: 1.816725 eta: 14:23:55 batch_cost: 0.5829 data_cost: 0.0010 ips: 68.6231 images/s
[07/28 21:48:51] ppdet.engine INFO: Epoch: [230] [380/732] learning_rate: 0.025678 loss_vfl: 0.910638 loss_bbox: 0.433917 loss_dfl: 0.406403 loss: 1.750644 eta: 14:23:32 batch_cost: 0.6259 data_cost: 0.0010 ips: 63.9075 images/s
[07/28 21:49:07] ppdet.engine INFO: Epoch: [230] [400/732] learning_rate: 0.025665 loss_vfl: 0.897325 loss_bbox: 0.417323 loss_dfl: 0.393616 loss: 1.713307 eta: 14:23:09 batch_cost: 0.6359 data_cost: 0.0004 ips: 62.8988 images/s
[07/28 21:49:22] ppdet.engine INFO: Epoch: [230] [420/732] learning_rate: 0.025652 loss_vfl: 0.874584 loss_bbox: 0.415449 loss_dfl: 0.396772 loss: 1.696896 eta: 14:22:47 batch_cost: 0.6212 data_cost: 0.0013 ips: 64.3872 images/s
[07/28 21:49:37] ppdet.engine INFO: Epoch: [230] [440/732] learning_rate: 0.025639 loss_vfl: 0.883563 loss_bbox: 0.438882 loss_dfl: 0.398312 loss: 1.722629 eta: 14:22:24 batch_cost: 0.5822 data_cost: 0.0010 ips: 68.7072 images/s
[07/28 21:49:52] ppdet.engine INFO: Epoch: [230] [460/732] learning_rate: 0.025626 loss_vfl: 0.906667 loss_bbox: 0.425444 loss_dfl: 0.409218 loss: 1.756826 eta: 14:22:01 batch_cost: 0.6182 data_cost: 0.0014 ips: 64.7025 images/s
[07/28 21:50:05] ppdet.engine INFO: Epoch: [230] [480/732] learning_rate: 0.025613 loss_vfl: 0.952923 loss_bbox: 0.471604 loss_dfl: 0.436960 loss: 1.852779 eta: 14:21:38 batch_cost: 0.5611 data_cost: 0.0003 ips: 71.2903 images/s
[07/28 21:50:20] ppdet.engine INFO: Epoch: [230] [500/732] learning_rate: 0.025599 loss_vfl: 0.852358 loss_bbox: 0.442088 loss_dfl: 0.394185 loss: 1.681585 eta: 14:21:15 batch_cost: 0.6018 data_cost: 0.0003 ips: 66.4667 images/s
[07/28 21:50:35] ppdet.engine INFO: Epoch: [230] [520/732] learning_rate: 0.025586 loss_vfl: 0.880196 loss_bbox: 0.420611 loss_dfl: 0.381824 loss: 1.637986 eta: 14:20:52 batch_cost: 0.5619 data_cost: 0.0003 ips: 71.1888 images/s
[07/28 21:50:50] ppdet.engine INFO: Epoch: [230] [540/732] learning_rate: 0.025573 loss_vfl: 0.959705 loss_bbox: 0.450248 loss_dfl: 0.416652 loss: 1.838760 eta: 14:20:29 batch_cost: 0.6261 data_cost: 0.0003 ips: 63.8841 images/s
[07/28 21:51:05] ppdet.engine INFO: Epoch: [230] [560/732] learning_rate: 0.025560 loss_vfl: 0.929709 loss_bbox: 0.445391 loss_dfl: 0.408414 loss: 1.774132 eta: 14:20:06 batch_cost: 0.6151 data_cost: 0.0003 ips: 65.0315 images/s
[07/28 21:51:20] ppdet.engine INFO: Epoch: [230] [580/732] learning_rate: 0.025547 loss_vfl: 0.878949 loss_bbox: 0.438352 loss_dfl: 0.391698 loss: 1.693277 eta: 14:19:43 batch_cost: 0.6201 data_cost: 0.0003 ips: 64.5078 images/s
[07/28 21:51:36] ppdet.engine INFO: Epoch: [230] [600/732] learning_rate: 0.025534 loss_vfl: 0.868411 loss_bbox: 0.419074 loss_dfl: 0.393914 loss: 1.694348 eta: 14:19:21 batch_cost: 0.6634 data_cost: 0.0007 ips: 60.2959 images/s
[07/28 21:51:50] ppdet.engine INFO: Epoch: [230] [620/732] learning_rate: 0.025521 loss_vfl: 0.930243 loss_bbox: 0.439724 loss_dfl: 0.415127 loss: 1.795087 eta: 14:18:58 batch_cost: 0.5812 data_cost: 0.0004 ips: 68.8225 images/s
[07/28 21:52:06] ppdet.engine INFO: Epoch: [230] [640/732] learning_rate: 0.025508 loss_vfl: 0.918279 loss_bbox: 0.457995 loss_dfl: 0.425902 loss: 1.800948 eta: 14:18:35 batch_cost: 0.6424 data_cost: 0.0003 ips: 62.2683 images/s
[07/28 21:52:20] ppdet.engine INFO: Epoch: [230] [660/732] learning_rate: 0.025495 loss_vfl: 0.879590 loss_bbox: 0.423286 loss_dfl: 0.393551 loss: 1.686249 eta: 14:18:12 batch_cost: 0.5841 data_cost: 0.0004 ips: 68.4756 images/s
[07/28 21:52:35] ppdet.engine INFO: Epoch: [230] [680/732] learning_rate: 0.025482 loss_vfl: 0.942232 loss_bbox: 0.459643 loss_dfl: 0.409302 loss: 1.798514 eta: 14:17:50 batch_cost: 0.6204 data_cost: 0.0042 ips: 64.4763 images/s
[07/28 21:52:51] ppdet.engine INFO: Epoch: [230] [700/732] learning_rate: 0.025469 loss_vfl: 0.911129 loss_bbox: 0.443450 loss_dfl: 0.417921 loss: 1.810785 eta: 14:17:27 batch_cost: 0.6975 data_cost: 0.0003 ips: 57.3494 images/s
[07/28 21:53:06] ppdet.engine INFO: Epoch: [230] [720/732] learning_rate: 0.025456 loss_vfl: 0.935580 loss_bbox: 0.441396 loss_dfl: 0.417835 loss: 1.797163 eta: 14:17:05 batch_cost: 0.6257 data_cost: 0.0003 ips: 63.9291 images/s
[07/28 21:53:17] ppdet.engine INFO: Epoch: [231] [  0/732] learning_rate: 0.025448 loss_vfl: 0.935564 loss_bbox: 0.478297 loss_dfl: 0.437845 loss: 1.882326 eta: 14:16:51 batch_cost: 0.6990 data_cost: 0.1499 ips: 57.2231 images/s
[07/28 21:53:37] ppdet.engine INFO: Epoch: [231] [ 20/732] learning_rate: 0.025435 loss_vfl: 0.887144 loss_bbox: 0.430364 loss_dfl: 0.393206 loss: 1.699683 eta: 14:16:30 batch_cost: 0.8087 data_cost: 0.0003 ips: 49.4639 images/s
[07/28 21:53:51] ppdet.engine INFO: Epoch: [231] [ 40/732] learning_rate: 0.025422 loss_vfl: 0.912479 loss_bbox: 0.421072 loss_dfl: 0.410152 loss: 1.738603 eta: 14:16:07 batch_cost: 0.5887 data_cost: 0.0007 ips: 67.9438 images/s
[07/28 21:54:06] ppdet.engine INFO: Epoch: [231] [ 60/732] learning_rate: 0.025409 loss_vfl: 0.905852 loss_bbox: 0.453355 loss_dfl: 0.423357 loss: 1.777451 eta: 14:15:44 batch_cost: 0.6133 data_cost: 0.0014 ips: 65.2261 images/s
[07/28 21:54:20] ppdet.engine INFO: Epoch: [231] [ 80/732] learning_rate: 0.025396 loss_vfl: 0.890950 loss_bbox: 0.450765 loss_dfl: 0.404982 loss: 1.713563 eta: 14:15:21 batch_cost: 0.5686 data_cost: 0.0015 ips: 70.3473 images/s
[07/28 21:54:37] ppdet.engine INFO: Epoch: [231] [100/732] learning_rate: 0.025383 loss_vfl: 0.901749 loss_bbox: 0.429900 loss_dfl: 0.400897 loss: 1.756541 eta: 14:14:59 batch_cost: 0.7282 data_cost: 0.0003 ips: 54.9264 images/s
[07/28 21:54:51] ppdet.engine INFO: Epoch: [231] [120/732] learning_rate: 0.025370 loss_vfl: 0.934301 loss_bbox: 0.451975 loss_dfl: 0.428026 loss: 1.822136 eta: 14:14:36 batch_cost: 0.6122 data_cost: 0.0004 ips: 65.3421 images/s
[07/28 21:55:08] ppdet.engine INFO: Epoch: [231] [140/732] learning_rate: 0.025357 loss_vfl: 0.959983 loss_bbox: 0.459349 loss_dfl: 0.433696 loss: 1.851648 eta: 14:14:14 batch_cost: 0.6866 data_cost: 0.0010 ips: 58.2540 images/s
[07/28 21:55:23] ppdet.engine INFO: Epoch: [231] [160/732] learning_rate: 0.025344 loss_vfl: 0.928813 loss_bbox: 0.455071 loss_dfl: 0.425221 loss: 1.818554 eta: 14:13:51 batch_cost: 0.6451 data_cost: 0.0014 ips: 62.0084 images/s
[07/28 21:55:37] ppdet.engine INFO: Epoch: [231] [180/732] learning_rate: 0.025331 loss_vfl: 0.914231 loss_bbox: 0.440032 loss_dfl: 0.410369 loss: 1.757470 eta: 14:13:28 batch_cost: 0.5848 data_cost: 0.0004 ips: 68.3960 images/s
[07/28 21:55:52] ppdet.engine INFO: Epoch: [231] [200/732] learning_rate: 0.025318 loss_vfl: 0.921880 loss_bbox: 0.449036 loss_dfl: 0.419216 loss: 1.765286 eta: 14:13:06 batch_cost: 0.6409 data_cost: 0.0003 ips: 62.4085 images/s
[07/28 21:56:08] ppdet.engine INFO: Epoch: [231] [220/732] learning_rate: 0.025305 loss_vfl: 0.930052 loss_bbox: 0.459975 loss_dfl: 0.411638 loss: 1.832790 eta: 14:12:43 batch_cost: 0.5692 data_cost: 0.0014 ips: 70.2800 images/s
[07/28 21:56:22] ppdet.engine INFO: Epoch: [231] [240/732] learning_rate: 0.025293 loss_vfl: 0.918460 loss_bbox: 0.459562 loss_dfl: 0.415503 loss: 1.790010 eta: 14:12:20 batch_cost: 0.6114 data_cost: 0.0004 ips: 65.4229 images/s
[07/28 21:56:37] ppdet.engine INFO: Epoch: [231] [260/732] learning_rate: 0.025280 loss_vfl: 0.921508 loss_bbox: 0.448161 loss_dfl: 0.418219 loss: 1.779374 eta: 14:11:57 batch_cost: 0.5901 data_cost: 0.0003 ips: 67.7812 images/s
[07/28 21:56:51] ppdet.engine INFO: Epoch: [231] [280/732] learning_rate: 0.025267 loss_vfl: 0.868291 loss_bbox: 0.426375 loss_dfl: 0.396526 loss: 1.691193 eta: 14:11:34 batch_cost: 0.5668 data_cost: 0.0003 ips: 70.5661 images/s
[07/28 21:57:06] ppdet.engine INFO: Epoch: [231] [300/732] learning_rate: 0.025254 loss_vfl: 0.945636 loss_bbox: 0.452137 loss_dfl: 0.415063 loss: 1.819693 eta: 14:11:11 batch_cost: 0.6246 data_cost: 0.0020 ips: 64.0405 images/s
[07/28 21:57:22] ppdet.engine INFO: Epoch: [231] [320/732] learning_rate: 0.025241 loss_vfl: 0.963889 loss_bbox: 0.457299 loss_dfl: 0.417159 loss: 1.848455 eta: 14:10:49 batch_cost: 0.6480 data_cost: 0.0004 ips: 61.7255 images/s
[07/28 21:57:37] ppdet.engine INFO: Epoch: [231] [340/732] learning_rate: 0.025228 loss_vfl: 0.904956 loss_bbox: 0.434124 loss_dfl: 0.420106 loss: 1.783664 eta: 14:10:26 batch_cost: 0.6282 data_cost: 0.0003 ips: 63.6713 images/s
[07/28 21:57:51] ppdet.engine INFO: Epoch: [231] [360/732] learning_rate: 0.025215 loss_vfl: 0.921606 loss_bbox: 0.438624 loss_dfl: 0.414491 loss: 1.785834 eta: 14:10:03 batch_cost: 0.5757 data_cost: 0.0003 ips: 69.4838 images/s
[07/28 21:58:06] ppdet.engine INFO: Epoch: [231] [380/732] learning_rate: 0.025202 loss_vfl: 0.887370 loss_bbox: 0.428483 loss_dfl: 0.399938 loss: 1.695077 eta: 14:09:40 batch_cost: 0.5950 data_cost: 0.0003 ips: 67.2281 images/s
[07/28 21:58:20] ppdet.engine INFO: Epoch: [231] [400/732] learning_rate: 0.025190 loss_vfl: 0.909646 loss_bbox: 0.443143 loss_dfl: 0.400540 loss: 1.743108 eta: 14:09:18 batch_cost: 0.5744 data_cost: 0.0003 ips: 69.6328 images/s
[07/28 21:58:36] ppdet.engine INFO: Epoch: [231] [420/732] learning_rate: 0.025177 loss_vfl: 0.850481 loss_bbox: 0.423690 loss_dfl: 0.392516 loss: 1.662660 eta: 14:08:55 batch_cost: 0.6233 data_cost: 0.0009 ips: 64.1732 images/s
[07/28 21:58:51] ppdet.engine INFO: Epoch: [231] [440/732] learning_rate: 0.025164 loss_vfl: 0.855912 loss_bbox: 0.432787 loss_dfl: 0.390309 loss: 1.678480 eta: 14:08:32 batch_cost: 0.6427 data_cost: 0.0003 ips: 62.2404 images/s
[07/28 21:59:06] ppdet.engine INFO: Epoch: [231] [460/732] learning_rate: 0.025151 loss_vfl: 0.908338 loss_bbox: 0.461200 loss_dfl: 0.418060 loss: 1.802059 eta: 14:08:10 batch_cost: 0.6441 data_cost: 0.0015 ips: 62.1001 images/s
[07/28 21:59:22] ppdet.engine INFO: Epoch: [231] [480/732] learning_rate: 0.025138 loss_vfl: 0.945141 loss_bbox: 0.452617 loss_dfl: 0.423218 loss: 1.842158 eta: 14:07:47 batch_cost: 0.6089 data_cost: 0.0003 ips: 65.6874 images/s
[07/28 21:59:38] ppdet.engine INFO: Epoch: [231] [500/732] learning_rate: 0.025125 loss_vfl: 0.945984 loss_bbox: 0.441928 loss_dfl: 0.409668 loss: 1.815611 eta: 14:07:25 batch_cost: 0.6802 data_cost: 0.0003 ips: 58.8093 images/s
[07/28 21:59:52] ppdet.engine INFO: Epoch: [231] [520/732] learning_rate: 0.025113 loss_vfl: 0.920518 loss_bbox: 0.469226 loss_dfl: 0.416496 loss: 1.814335 eta: 14:07:02 batch_cost: 0.5734 data_cost: 0.0009 ips: 69.7638 images/s
[07/28 22:00:08] ppdet.engine INFO: Epoch: [231] [540/732] learning_rate: 0.025100 loss_vfl: 0.926411 loss_bbox: 0.452914 loss_dfl: 0.417140 loss: 1.794382 eta: 14:06:39 batch_cost: 0.6225 data_cost: 0.0003 ips: 64.2597 images/s
[07/28 22:00:23] ppdet.engine INFO: Epoch: [231] [560/732] learning_rate: 0.025087 loss_vfl: 0.883223 loss_bbox: 0.446394 loss_dfl: 0.406250 loss: 1.719129 eta: 14:06:16 batch_cost: 0.5991 data_cost: 0.0003 ips: 66.7639 images/s
[07/28 22:00:38] ppdet.engine INFO: Epoch: [231] [580/732] learning_rate: 0.025074 loss_vfl: 0.936125 loss_bbox: 0.473230 loss_dfl: 0.420578 loss: 1.832421 eta: 14:05:54 batch_cost: 0.6253 data_cost: 0.0017 ips: 63.9739 images/s
[07/28 22:00:54] ppdet.engine INFO: Epoch: [231] [600/732] learning_rate: 0.025062 loss_vfl: 0.927959 loss_bbox: 0.431409 loss_dfl: 0.411536 loss: 1.780052 eta: 14:05:31 batch_cost: 0.6517 data_cost: 0.0003 ips: 61.3811 images/s
[07/28 22:01:08] ppdet.engine INFO: Epoch: [231] [620/732] learning_rate: 0.025049 loss_vfl: 0.932743 loss_bbox: 0.453839 loss_dfl: 0.422953 loss: 1.798630 eta: 14:05:08 batch_cost: 0.5738 data_cost: 0.0009 ips: 69.7140 images/s
[07/28 22:01:22] ppdet.engine INFO: Epoch: [231] [640/732] learning_rate: 0.025036 loss_vfl: 0.902499 loss_bbox: 0.477597 loss_dfl: 0.413277 loss: 1.775335 eta: 14:04:45 batch_cost: 0.5841 data_cost: 0.0003 ips: 68.4848 images/s
[07/28 22:01:37] ppdet.engine INFO: Epoch: [231] [660/732] learning_rate: 0.025023 loss_vfl: 0.889056 loss_bbox: 0.448659 loss_dfl: 0.403514 loss: 1.721579 eta: 14:04:23 batch_cost: 0.6126 data_cost: 0.0003 ips: 65.2917 images/s
[07/28 22:01:52] ppdet.engine INFO: Epoch: [231] [680/732] learning_rate: 0.025011 loss_vfl: 0.951558 loss_bbox: 0.458950 loss_dfl: 0.437692 loss: 1.858272 eta: 14:04:00 batch_cost: 0.6404 data_cost: 0.0021 ips: 62.4606 images/s
[07/28 22:02:08] ppdet.engine INFO: Epoch: [231] [700/732] learning_rate: 0.024998 loss_vfl: 0.869142 loss_bbox: 0.407371 loss_dfl: 0.389466 loss: 1.669020 eta: 14:03:37 batch_cost: 0.6010 data_cost: 0.0016 ips: 66.5538 images/s
[07/28 22:02:23] ppdet.engine INFO: Epoch: [231] [720/732] learning_rate: 0.024985 loss_vfl: 0.937463 loss_bbox: 0.473752 loss_dfl: 0.427126 loss: 1.838812 eta: 14:03:15 batch_cost: 0.6196 data_cost: 0.0004 ips: 64.5555 images/s
[07/28 22:02:37] ppdet.engine INFO: Epoch: [232] [  0/732] learning_rate: 0.024978 loss_vfl: 0.841978 loss_bbox: 0.406969 loss_dfl: 0.398541 loss: 1.639146 eta: 14:03:03 batch_cost: 0.8820 data_cost: 0.2827 ips: 45.3512 images/s
[07/28 22:02:53] ppdet.engine INFO: Epoch: [232] [ 20/732] learning_rate: 0.024965 loss_vfl: 0.978339 loss_bbox: 0.458684 loss_dfl: 0.435138 loss: 1.881898 eta: 14:02:40 batch_cost: 0.6428 data_cost: 0.0003 ips: 62.2244 images/s
[07/28 22:03:10] ppdet.engine INFO: Epoch: [232] [ 40/732] learning_rate: 0.024952 loss_vfl: 0.879297 loss_bbox: 0.438568 loss_dfl: 0.406177 loss: 1.723579 eta: 14:02:18 batch_cost: 0.6973 data_cost: 0.0003 ips: 57.3675 images/s
[07/28 22:03:25] ppdet.engine INFO: Epoch: [232] [ 60/732] learning_rate: 0.024940 loss_vfl: 0.945450 loss_bbox: 0.468947 loss_dfl: 0.419561 loss: 1.824087 eta: 14:01:55 batch_cost: 0.5943 data_cost: 0.0004 ips: 67.3095 images/s
[07/28 22:03:40] ppdet.engine INFO: Epoch: [232] [ 80/732] learning_rate: 0.024927 loss_vfl: 0.898643 loss_bbox: 0.429237 loss_dfl: 0.387675 loss: 1.715206 eta: 14:01:32 batch_cost: 0.5775 data_cost: 0.0021 ips: 69.2685 images/s
[07/28 22:03:55] ppdet.engine INFO: Epoch: [232] [100/732] learning_rate: 0.024914 loss_vfl: 0.917842 loss_bbox: 0.448507 loss_dfl: 0.420687 loss: 1.798987 eta: 14:01:10 batch_cost: 0.6287 data_cost: 0.0003 ips: 63.6193 images/s
[07/28 22:04:10] ppdet.engine INFO: Epoch: [232] [120/732] learning_rate: 0.024902 loss_vfl: 0.881044 loss_bbox: 0.418478 loss_dfl: 0.395537 loss: 1.700155 eta: 14:00:47 batch_cost: 0.5832 data_cost: 0.0003 ips: 68.5913 images/s
[07/28 22:04:24] ppdet.engine INFO: Epoch: [232] [140/732] learning_rate: 0.024889 loss_vfl: 0.938580 loss_bbox: 0.450211 loss_dfl: 0.422720 loss: 1.791495 eta: 14:00:24 batch_cost: 0.6008 data_cost: 0.0022 ips: 66.5780 images/s
[07/28 22:04:39] ppdet.engine INFO: Epoch: [232] [160/732] learning_rate: 0.024876 loss_vfl: 0.877616 loss_bbox: 0.412245 loss_dfl: 0.383570 loss: 1.695944 eta: 14:00:01 batch_cost: 0.5865 data_cost: 0.0003 ips: 68.2038 images/s
[07/28 22:04:53] ppdet.engine INFO: Epoch: [232] [180/732] learning_rate: 0.024864 loss_vfl: 0.908225 loss_bbox: 0.431370 loss_dfl: 0.401406 loss: 1.725924 eta: 13:59:38 batch_cost: 0.5782 data_cost: 0.0009 ips: 69.1857 images/s
[07/28 22:05:07] ppdet.engine INFO: Epoch: [232] [200/732] learning_rate: 0.024851 loss_vfl: 0.926041 loss_bbox: 0.473246 loss_dfl: 0.419397 loss: 1.809168 eta: 13:59:15 batch_cost: 0.5431 data_cost: 0.0007 ips: 73.6574 images/s
[07/28 22:05:22] ppdet.engine INFO: Epoch: [232] [220/732] learning_rate: 0.024838 loss_vfl: 0.916947 loss_bbox: 0.423170 loss_dfl: 0.404431 loss: 1.743101 eta: 13:58:53 batch_cost: 0.6250 data_cost: 0.0003 ips: 64.0030 images/s
[07/28 22:05:37] ppdet.engine INFO: Epoch: [232] [240/732] learning_rate: 0.024826 loss_vfl: 0.862335 loss_bbox: 0.428977 loss_dfl: 0.395455 loss: 1.691167 eta: 13:58:30 batch_cost: 0.5908 data_cost: 0.0009 ips: 67.7047 images/s
[07/28 22:05:52] ppdet.engine INFO: Epoch: [232] [260/732] learning_rate: 0.024813 loss_vfl: 0.900463 loss_bbox: 0.450117 loss_dfl: 0.414486 loss: 1.777704 eta: 13:58:07 batch_cost: 0.6101 data_cost: 0.0016 ips: 65.5624 images/s
[07/28 22:06:07] ppdet.engine INFO: Epoch: [232] [280/732] learning_rate: 0.024801 loss_vfl: 0.923682 loss_bbox: 0.468249 loss_dfl: 0.418242 loss: 1.817910 eta: 13:57:45 batch_cost: 0.6106 data_cost: 0.0006 ips: 65.5051 images/s
[07/28 22:06:20] ppdet.engine INFO: Epoch: [232] [300/732] learning_rate: 0.024788 loss_vfl: 0.913153 loss_bbox: 0.449394 loss_dfl: 0.405800 loss: 1.775268 eta: 13:57:21 batch_cost: 0.5186 data_cost: 0.0003 ips: 77.1267 images/s
[07/28 22:06:35] ppdet.engine INFO: Epoch: [232] [320/732] learning_rate: 0.024776 loss_vfl: 0.886647 loss_bbox: 0.412364 loss_dfl: 0.379294 loss: 1.662029 eta: 13:56:59 batch_cost: 0.6232 data_cost: 0.0051 ips: 64.1867 images/s
[07/28 22:06:49] ppdet.engine INFO: Epoch: [232] [340/732] learning_rate: 0.024763 loss_vfl: 0.907860 loss_bbox: 0.422977 loss_dfl: 0.387662 loss: 1.734943 eta: 13:56:36 batch_cost: 0.5664 data_cost: 0.0003 ips: 70.6196 images/s
[07/28 22:07:02] ppdet.engine INFO: Epoch: [232] [360/732] learning_rate: 0.024750 loss_vfl: 0.926267 loss_bbox: 0.467084 loss_dfl: 0.429663 loss: 1.829156 eta: 13:56:13 batch_cost: 0.5584 data_cost: 0.0003 ips: 71.6295 images/s
[07/28 22:07:17] ppdet.engine INFO: Epoch: [232] [380/732] learning_rate: 0.024738 loss_vfl: 0.882640 loss_bbox: 0.437846 loss_dfl: 0.402293 loss: 1.772619 eta: 13:55:50 batch_cost: 0.5788 data_cost: 0.0016 ips: 69.1122 images/s
[07/28 22:07:32] ppdet.engine INFO: Epoch: [232] [400/732] learning_rate: 0.024725 loss_vfl: 0.919615 loss_bbox: 0.450756 loss_dfl: 0.412717 loss: 1.790024 eta: 13:55:28 batch_cost: 0.6280 data_cost: 0.0003 ips: 63.6964 images/s
[07/28 22:07:48] ppdet.engine INFO: Epoch: [232] [420/732] learning_rate: 0.024713 loss_vfl: 0.878372 loss_bbox: 0.451450 loss_dfl: 0.397961 loss: 1.715572 eta: 13:55:05 batch_cost: 0.6200 data_cost: 0.0003 ips: 64.5190 images/s
[07/28 22:08:03] ppdet.engine INFO: Epoch: [232] [440/732] learning_rate: 0.024700 loss_vfl: 0.871739 loss_bbox: 0.451793 loss_dfl: 0.393288 loss: 1.706949 eta: 13:54:42 batch_cost: 0.6481 data_cost: 0.0003 ips: 61.7217 images/s
[07/28 22:08:17] ppdet.engine INFO: Epoch: [232] [460/732] learning_rate: 0.024688 loss_vfl: 0.905840 loss_bbox: 0.440678 loss_dfl: 0.412543 loss: 1.759143 eta: 13:54:20 batch_cost: 0.6126 data_cost: 0.0019 ips: 65.2964 images/s
[07/28 22:08:32] ppdet.engine INFO: Epoch: [232] [480/732] learning_rate: 0.024675 loss_vfl: 0.883562 loss_bbox: 0.408950 loss_dfl: 0.402437 loss: 1.680451 eta: 13:53:57 batch_cost: 0.5726 data_cost: 0.0003 ips: 69.8545 images/s
[07/28 22:08:47] ppdet.engine INFO: Epoch: [232] [500/732] learning_rate: 0.024663 loss_vfl: 0.847110 loss_bbox: 0.415308 loss_dfl: 0.386394 loss: 1.660433 eta: 13:53:35 batch_cost: 0.6391 data_cost: 0.0003 ips: 62.5883 images/s
[07/28 22:09:01] ppdet.engine INFO: Epoch: [232] [520/732] learning_rate: 0.024650 loss_vfl: 0.934367 loss_bbox: 0.448255 loss_dfl: 0.421413 loss: 1.820053 eta: 13:53:12 batch_cost: 0.5502 data_cost: 0.0003 ips: 72.7045 images/s
[07/28 22:09:16] ppdet.engine INFO: Epoch: [232] [540/732] learning_rate: 0.024638 loss_vfl: 0.930110 loss_bbox: 0.468832 loss_dfl: 0.421401 loss: 1.853663 eta: 13:52:49 batch_cost: 0.6112 data_cost: 0.0003 ips: 65.4451 images/s
[07/28 22:09:31] ppdet.engine INFO: Epoch: [232] [560/732] learning_rate: 0.024625 loss_vfl: 0.914902 loss_bbox: 0.449874 loss_dfl: 0.409522 loss: 1.769245 eta: 13:52:26 batch_cost: 0.5844 data_cost: 0.0003 ips: 68.4441 images/s
[07/28 22:09:46] ppdet.engine INFO: Epoch: [232] [580/732] learning_rate: 0.024613 loss_vfl: 0.947366 loss_bbox: 0.468338 loss_dfl: 0.430254 loss: 1.859690 eta: 13:52:03 batch_cost: 0.5778 data_cost: 0.0009 ips: 69.2315 images/s
[07/28 22:10:01] ppdet.engine INFO: Epoch: [232] [600/732] learning_rate: 0.024601 loss_vfl: 0.949499 loss_bbox: 0.460951 loss_dfl: 0.435622 loss: 1.862943 eta: 13:51:41 batch_cost: 0.6332 data_cost: 0.0062 ips: 63.1681 images/s
[07/28 22:10:16] ppdet.engine INFO: Epoch: [232] [620/732] learning_rate: 0.024588 loss_vfl: 0.923693 loss_bbox: 0.432962 loss_dfl: 0.414066 loss: 1.775502 eta: 13:51:18 batch_cost: 0.6230 data_cost: 0.0003 ips: 64.2049 images/s
[07/28 22:10:31] ppdet.engine INFO: Epoch: [232] [640/732] learning_rate: 0.024576 loss_vfl: 0.948696 loss_bbox: 0.448115 loss_dfl: 0.426000 loss: 1.829714 eta: 13:50:56 batch_cost: 0.6213 data_cost: 0.0008 ips: 64.3800 images/s
[07/28 22:10:46] ppdet.engine INFO: Epoch: [232] [660/732] learning_rate: 0.024563 loss_vfl: 0.914501 loss_bbox: 0.466861 loss_dfl: 0.416757 loss: 1.799967 eta: 13:50:33 batch_cost: 0.5879 data_cost: 0.0014 ips: 68.0381 images/s
[07/28 22:11:00] ppdet.engine INFO: Epoch: [232] [680/732] learning_rate: 0.024551 loss_vfl: 0.926603 loss_bbox: 0.451071 loss_dfl: 0.415581 loss: 1.793045 eta: 13:50:10 batch_cost: 0.5701 data_cost: 0.0003 ips: 70.1659 images/s
[07/28 22:11:16] ppdet.engine INFO: Epoch: [232] [700/732] learning_rate: 0.024539 loss_vfl: 0.900656 loss_bbox: 0.421114 loss_dfl: 0.402322 loss: 1.716323 eta: 13:49:48 batch_cost: 0.6243 data_cost: 0.0004 ips: 64.0718 images/s
[07/28 22:11:30] ppdet.engine INFO: Epoch: [232] [720/732] learning_rate: 0.024526 loss_vfl: 0.907342 loss_bbox: 0.423923 loss_dfl: 0.402289 loss: 1.730117 eta: 13:49:25 batch_cost: 0.5871 data_cost: 0.0011 ips: 68.1282 images/s
[07/28 22:11:43] ppdet.engine INFO: Epoch: [233] [  0/732] learning_rate: 0.024519 loss_vfl: 0.920443 loss_bbox: 0.442479 loss_dfl: 0.415244 loss: 1.768531 eta: 13:49:12 batch_cost: 0.7384 data_cost: 0.1554 ips: 54.1706 images/s
[07/28 22:12:03] ppdet.engine INFO: Epoch: [233] [ 20/732] learning_rate: 0.024506 loss_vfl: 0.937024 loss_bbox: 0.423023 loss_dfl: 0.400864 loss: 1.742532 eta: 13:48:51 batch_cost: 0.8731 data_cost: 0.0656 ips: 45.8126 images/s
[07/28 22:12:19] ppdet.engine INFO: Epoch: [233] [ 40/732] learning_rate: 0.024494 loss_vfl: 0.885155 loss_bbox: 0.437366 loss_dfl: 0.408937 loss: 1.732393 eta: 13:48:28 batch_cost: 0.6438 data_cost: 0.0003 ips: 62.1355 images/s
[07/28 22:12:35] ppdet.engine INFO: Epoch: [233] [ 60/732] learning_rate: 0.024482 loss_vfl: 0.952292 loss_bbox: 0.459910 loss_dfl: 0.431269 loss: 1.849519 eta: 13:48:06 batch_cost: 0.6765 data_cost: 0.0003 ips: 59.1263 images/s
[07/28 22:12:50] ppdet.engine INFO: Epoch: [233] [ 80/732] learning_rate: 0.024469 loss_vfl: 0.872563 loss_bbox: 0.436985 loss_dfl: 0.399915 loss: 1.725112 eta: 13:47:44 batch_cost: 0.6066 data_cost: 0.0005 ips: 65.9409 images/s
[07/28 22:13:06] ppdet.engine INFO: Epoch: [233] [100/732] learning_rate: 0.024457 loss_vfl: 0.871069 loss_bbox: 0.426552 loss_dfl: 0.388101 loss: 1.687247 eta: 13:47:21 batch_cost: 0.6277 data_cost: 0.0005 ips: 63.7223 images/s
[07/28 22:13:22] ppdet.engine INFO: Epoch: [233] [120/732] learning_rate: 0.024445 loss_vfl: 0.903687 loss_bbox: 0.447983 loss_dfl: 0.422019 loss: 1.779260 eta: 13:46:59 batch_cost: 0.6597 data_cost: 0.0005 ips: 60.6316 images/s
[07/28 22:13:37] ppdet.engine INFO: Epoch: [233] [140/732] learning_rate: 0.024432 loss_vfl: 0.878733 loss_bbox: 0.435519 loss_dfl: 0.409654 loss: 1.709369 eta: 13:46:36 batch_cost: 0.6502 data_cost: 0.0011 ips: 61.5179 images/s
[07/28 22:13:52] ppdet.engine INFO: Epoch: [233] [160/732] learning_rate: 0.024420 loss_vfl: 0.937592 loss_bbox: 0.463288 loss_dfl: 0.427156 loss: 1.861231 eta: 13:46:14 batch_cost: 0.5969 data_cost: 0.0004 ips: 67.0090 images/s
[07/28 22:14:07] ppdet.engine INFO: Epoch: [233] [180/732] learning_rate: 0.024408 loss_vfl: 0.933255 loss_bbox: 0.452123 loss_dfl: 0.414462 loss: 1.804636 eta: 13:45:51 batch_cost: 0.6224 data_cost: 0.0004 ips: 64.2641 images/s
[07/28 22:14:22] ppdet.engine INFO: Epoch: [233] [200/732] learning_rate: 0.024395 loss_vfl: 0.898236 loss_bbox: 0.446842 loss_dfl: 0.407044 loss: 1.731896 eta: 13:45:28 batch_cost: 0.5906 data_cost: 0.0004 ips: 67.7323 images/s
[07/28 22:14:37] ppdet.engine INFO: Epoch: [233] [220/732] learning_rate: 0.024383 loss_vfl: 0.929015 loss_bbox: 0.448509 loss_dfl: 0.410188 loss: 1.801425 eta: 13:45:06 batch_cost: 0.6451 data_cost: 0.0012 ips: 62.0042 images/s
[07/28 22:14:52] ppdet.engine INFO: Epoch: [233] [240/732] learning_rate: 0.024371 loss_vfl: 0.962815 loss_bbox: 0.446323 loss_dfl: 0.422848 loss: 1.850190 eta: 13:44:44 batch_cost: 0.6115 data_cost: 0.0003 ips: 65.4176 images/s
[07/28 22:15:07] ppdet.engine INFO: Epoch: [233] [260/732] learning_rate: 0.024358 loss_vfl: 0.890314 loss_bbox: 0.437054 loss_dfl: 0.404309 loss: 1.703309 eta: 13:44:21 batch_cost: 0.6213 data_cost: 0.0004 ips: 64.3808 images/s
[07/28 22:15:22] ppdet.engine INFO: Epoch: [233] [280/732] learning_rate: 0.024346 loss_vfl: 0.971220 loss_bbox: 0.474014 loss_dfl: 0.432818 loss: 1.875524 eta: 13:43:59 batch_cost: 0.6325 data_cost: 0.0010 ips: 63.2429 images/s
[07/28 22:15:37] ppdet.engine INFO: Epoch: [233] [300/732] learning_rate: 0.024334 loss_vfl: 0.892963 loss_bbox: 0.422336 loss_dfl: 0.396468 loss: 1.705595 eta: 13:43:36 batch_cost: 0.5668 data_cost: 0.0003 ips: 70.5723 images/s
[07/28 22:15:52] ppdet.engine INFO: Epoch: [233] [320/732] learning_rate: 0.024322 loss_vfl: 0.877396 loss_bbox: 0.448395 loss_dfl: 0.397687 loss: 1.717692 eta: 13:43:13 batch_cost: 0.6355 data_cost: 0.0010 ips: 62.9423 images/s
[07/28 22:16:08] ppdet.engine INFO: Epoch: [233] [340/732] learning_rate: 0.024309 loss_vfl: 0.851132 loss_bbox: 0.406972 loss_dfl: 0.379969 loss: 1.623216 eta: 13:42:51 batch_cost: 0.6301 data_cost: 0.0007 ips: 63.4854 images/s
[07/28 22:16:22] ppdet.engine INFO: Epoch: [233] [360/732] learning_rate: 0.024297 loss_vfl: 0.880418 loss_bbox: 0.407859 loss_dfl: 0.392589 loss: 1.688888 eta: 13:42:28 batch_cost: 0.5979 data_cost: 0.0003 ips: 66.9012 images/s
[07/28 22:16:38] ppdet.engine INFO: Epoch: [233] [380/732] learning_rate: 0.024285 loss_vfl: 0.869035 loss_bbox: 0.416319 loss_dfl: 0.397752 loss: 1.667001 eta: 13:42:06 batch_cost: 0.6739 data_cost: 0.0003 ips: 59.3553 images/s
[07/28 22:16:54] ppdet.engine INFO: Epoch: [233] [400/732] learning_rate: 0.024273 loss_vfl: 0.871307 loss_bbox: 0.426100 loss_dfl: 0.398360 loss: 1.692919 eta: 13:41:44 batch_cost: 0.6380 data_cost: 0.0022 ips: 62.6980 images/s
[07/28 22:17:09] ppdet.engine INFO: Epoch: [233] [420/732] learning_rate: 0.024261 loss_vfl: 0.936538 loss_bbox: 0.443580 loss_dfl: 0.415774 loss: 1.802783 eta: 13:41:21 batch_cost: 0.6279 data_cost: 0.0003 ips: 63.7065 images/s
[07/28 22:17:24] ppdet.engine INFO: Epoch: [233] [440/732] learning_rate: 0.024248 loss_vfl: 0.948039 loss_bbox: 0.459767 loss_dfl: 0.424933 loss: 1.826772 eta: 13:40:59 batch_cost: 0.6337 data_cost: 0.0003 ips: 63.1205 images/s
[07/28 22:17:39] ppdet.engine INFO: Epoch: [233] [460/732] learning_rate: 0.024236 loss_vfl: 0.883020 loss_bbox: 0.459504 loss_dfl: 0.418212 loss: 1.763064 eta: 13:40:36 batch_cost: 0.6190 data_cost: 0.0003 ips: 64.6245 images/s
[07/28 22:17:55] ppdet.engine INFO: Epoch: [233] [480/732] learning_rate: 0.024224 loss_vfl: 0.922882 loss_bbox: 0.452872 loss_dfl: 0.427303 loss: 1.788238 eta: 13:40:14 batch_cost: 0.6749 data_cost: 0.0003 ips: 59.2669 images/s
[07/28 22:18:10] ppdet.engine INFO: Epoch: [233] [500/732] learning_rate: 0.024212 loss_vfl: 0.879559 loss_bbox: 0.433761 loss_dfl: 0.396692 loss: 1.713606 eta: 13:39:52 batch_cost: 0.6566 data_cost: 0.0013 ips: 60.9190 images/s
[07/28 22:18:25] ppdet.engine INFO: Epoch: [233] [520/732] learning_rate: 0.024200 loss_vfl: 0.939459 loss_bbox: 0.449756 loss_dfl: 0.423244 loss: 1.823825 eta: 13:39:29 batch_cost: 0.6044 data_cost: 0.0009 ips: 66.1808 images/s
[07/28 22:18:41] ppdet.engine INFO: Epoch: [233] [540/732] learning_rate: 0.024187 loss_vfl: 0.892987 loss_bbox: 0.433387 loss_dfl: 0.399729 loss: 1.724324 eta: 13:39:07 batch_cost: 0.6464 data_cost: 0.0010 ips: 61.8806 images/s
[07/28 22:18:56] ppdet.engine INFO: Epoch: [233] [560/732] learning_rate: 0.024175 loss_vfl: 0.913130 loss_bbox: 0.454184 loss_dfl: 0.419936 loss: 1.783702 eta: 13:38:44 batch_cost: 0.6157 data_cost: 0.0004 ips: 64.9644 images/s
[07/28 22:19:10] ppdet.engine INFO: Epoch: [233] [580/732] learning_rate: 0.024163 loss_vfl: 0.901184 loss_bbox: 0.427353 loss_dfl: 0.410147 loss: 1.713361 eta: 13:38:22 batch_cost: 0.6130 data_cost: 0.0003 ips: 65.2558 images/s
[07/28 22:19:26] ppdet.engine INFO: Epoch: [233] [600/732] learning_rate: 0.024151 loss_vfl: 0.938110 loss_bbox: 0.470119 loss_dfl: 0.429882 loss: 1.853579 eta: 13:37:59 batch_cost: 0.6288 data_cost: 0.0004 ips: 63.6160 images/s
[07/28 22:19:41] ppdet.engine INFO: Epoch: [233] [620/732] learning_rate: 0.024139 loss_vfl: 0.910351 loss_bbox: 0.436557 loss_dfl: 0.407452 loss: 1.754498 eta: 13:37:37 batch_cost: 0.6347 data_cost: 0.0004 ips: 63.0231 images/s
[07/28 22:19:55] ppdet.engine INFO: Epoch: [233] [640/732] learning_rate: 0.024127 loss_vfl: 0.961434 loss_bbox: 0.460523 loss_dfl: 0.424586 loss: 1.849718 eta: 13:37:14 batch_cost: 0.6071 data_cost: 0.0006 ips: 65.8870 images/s
[07/28 22:20:10] ppdet.engine INFO: Epoch: [233] [660/732] learning_rate: 0.024115 loss_vfl: 0.896926 loss_bbox: 0.424896 loss_dfl: 0.395523 loss: 1.681935 eta: 13:36:52 batch_cost: 0.6329 data_cost: 0.0005 ips: 63.1968 images/s
[07/28 22:20:24] ppdet.engine INFO: Epoch: [233] [680/732] learning_rate: 0.024103 loss_vfl: 0.909183 loss_bbox: 0.435082 loss_dfl: 0.395153 loss: 1.709641 eta: 13:36:29 batch_cost: 0.6091 data_cost: 0.0020 ips: 65.6662 images/s
[07/28 22:20:39] ppdet.engine INFO: Epoch: [233] [700/732] learning_rate: 0.024091 loss_vfl: 0.917914 loss_bbox: 0.471662 loss_dfl: 0.411590 loss: 1.802530 eta: 13:36:07 batch_cost: 0.6244 data_cost: 0.0010 ips: 64.0580 images/s
[07/28 22:20:54] ppdet.engine INFO: Epoch: [233] [720/732] learning_rate: 0.024078 loss_vfl: 0.892570 loss_bbox: 0.440870 loss_dfl: 0.407972 loss: 1.745944 eta: 13:35:44 batch_cost: 0.6209 data_cost: 0.0006 ips: 64.4178 images/s
[07/28 22:21:07] ppdet.engine INFO: Epoch: [234] [  0/732] learning_rate: 0.024071 loss_vfl: 0.910743 loss_bbox: 0.439744 loss_dfl: 0.403195 loss: 1.747824 eta: 13:35:32 batch_cost: 0.7555 data_cost: 0.1917 ips: 52.9473 images/s
[07/28 22:21:25] ppdet.engine INFO: Epoch: [234] [ 20/732] learning_rate: 0.024059 loss_vfl: 0.862406 loss_bbox: 0.413538 loss_dfl: 0.389507 loss: 1.677519 eta: 13:35:10 batch_cost: 0.6988 data_cost: 0.0003 ips: 57.2435 images/s
[07/28 22:21:40] ppdet.engine INFO: Epoch: [234] [ 40/732] learning_rate: 0.024047 loss_vfl: 0.846266 loss_bbox: 0.401114 loss_dfl: 0.382047 loss: 1.639391 eta: 13:34:47 batch_cost: 0.6227 data_cost: 0.0004 ips: 64.2331 images/s
[07/28 22:21:55] ppdet.engine INFO: Epoch: [234] [ 60/732] learning_rate: 0.024035 loss_vfl: 0.926558 loss_bbox: 0.462259 loss_dfl: 0.426615 loss: 1.828665 eta: 13:34:24 batch_cost: 0.5658 data_cost: 0.0003 ips: 70.7012 images/s
[07/28 22:22:11] ppdet.engine INFO: Epoch: [234] [ 80/732] learning_rate: 0.024023 loss_vfl: 0.929917 loss_bbox: 0.440953 loss_dfl: 0.416660 loss: 1.793141 eta: 13:34:02 batch_cost: 0.6501 data_cost: 0.0004 ips: 61.5295 images/s
[07/28 22:22:27] ppdet.engine INFO: Epoch: [234] [100/732] learning_rate: 0.024011 loss_vfl: 0.895699 loss_bbox: 0.450359 loss_dfl: 0.403018 loss: 1.766063 eta: 13:33:40 batch_cost: 0.6329 data_cost: 0.0023 ips: 63.2019 images/s
[07/28 22:22:42] ppdet.engine INFO: Epoch: [234] [120/732] learning_rate: 0.023999 loss_vfl: 0.882888 loss_bbox: 0.425386 loss_dfl: 0.394781 loss: 1.701169 eta: 13:33:17 batch_cost: 0.6042 data_cost: 0.0025 ips: 66.2000 images/s
[07/28 22:22:57] ppdet.engine INFO: Epoch: [234] [140/732] learning_rate: 0.023987 loss_vfl: 0.955553 loss_bbox: 0.466567 loss_dfl: 0.429495 loss: 1.846486 eta: 13:32:55 batch_cost: 0.6024 data_cost: 0.0007 ips: 66.3992 images/s
[07/28 22:23:11] ppdet.engine INFO: Epoch: [234] [160/732] learning_rate: 0.023975 loss_vfl: 0.868310 loss_bbox: 0.411658 loss_dfl: 0.379926 loss: 1.634071 eta: 13:32:32 batch_cost: 0.6136 data_cost: 0.0018 ips: 65.1886 images/s
[07/28 22:23:26] ppdet.engine INFO: Epoch: [234] [180/732] learning_rate: 0.023963 loss_vfl: 0.927385 loss_bbox: 0.439847 loss_dfl: 0.413323 loss: 1.768743 eta: 13:32:10 batch_cost: 0.6015 data_cost: 0.0004 ips: 66.5058 images/s
[07/28 22:23:42] ppdet.engine INFO: Epoch: [234] [200/732] learning_rate: 0.023951 loss_vfl: 0.942257 loss_bbox: 0.451003 loss_dfl: 0.414318 loss: 1.793842 eta: 13:31:47 batch_cost: 0.6748 data_cost: 0.0014 ips: 59.2739 images/s
[07/28 22:23:57] ppdet.engine INFO: Epoch: [234] [220/732] learning_rate: 0.023939 loss_vfl: 0.880364 loss_bbox: 0.419753 loss_dfl: 0.395317 loss: 1.690829 eta: 13:31:25 batch_cost: 0.6398 data_cost: 0.0004 ips: 62.5169 images/s
[07/28 22:24:12] ppdet.engine INFO: Epoch: [234] [240/732] learning_rate: 0.023927 loss_vfl: 0.894964 loss_bbox: 0.441042 loss_dfl: 0.411703 loss: 1.764637 eta: 13:31:03 batch_cost: 0.6460 data_cost: 0.0006 ips: 61.9150 images/s
[07/28 22:24:29] ppdet.engine INFO: Epoch: [234] [260/732] learning_rate: 0.023915 loss_vfl: 0.904378 loss_bbox: 0.432133 loss_dfl: 0.407852 loss: 1.740582 eta: 13:30:41 batch_cost: 0.6921 data_cost: 0.0003 ips: 57.7912 images/s
[07/28 22:24:44] ppdet.engine INFO: Epoch: [234] [280/732] learning_rate: 0.023903 loss_vfl: 0.871187 loss_bbox: 0.420863 loss_dfl: 0.394000 loss: 1.700136 eta: 13:30:18 batch_cost: 0.6430 data_cost: 0.0003 ips: 62.2123 images/s
[07/28 22:24:59] ppdet.engine INFO: Epoch: [234] [300/732] learning_rate: 0.023891 loss_vfl: 0.925303 loss_bbox: 0.453012 loss_dfl: 0.422606 loss: 1.804236 eta: 13:29:56 batch_cost: 0.6496 data_cost: 0.0007 ips: 61.5744 images/s
[07/28 22:25:14] ppdet.engine INFO: Epoch: [234] [320/732] learning_rate: 0.023879 loss_vfl: 0.908917 loss_bbox: 0.442902 loss_dfl: 0.405179 loss: 1.762018 eta: 13:29:34 batch_cost: 0.5956 data_cost: 0.0004 ips: 67.1588 images/s
[07/28 22:25:30] ppdet.engine INFO: Epoch: [234] [340/732] learning_rate: 0.023867 loss_vfl: 0.932360 loss_bbox: 0.447391 loss_dfl: 0.410666 loss: 1.807029 eta: 13:29:11 batch_cost: 0.6468 data_cost: 0.0004 ips: 61.8399 images/s
[07/28 22:25:45] ppdet.engine INFO: Epoch: [234] [360/732] learning_rate: 0.023855 loss_vfl: 0.948678 loss_bbox: 0.434058 loss_dfl: 0.420590 loss: 1.821274 eta: 13:28:49 batch_cost: 0.6050 data_cost: 0.0009 ips: 66.1133 images/s
[07/28 22:25:59] ppdet.engine INFO: Epoch: [234] [380/732] learning_rate: 0.023843 loss_vfl: 0.914874 loss_bbox: 0.437284 loss_dfl: 0.400870 loss: 1.756499 eta: 13:28:26 batch_cost: 0.6197 data_cost: 0.0003 ips: 64.5457 images/s
[07/28 22:26:15] ppdet.engine INFO: Epoch: [234] [400/732] learning_rate: 0.023832 loss_vfl: 1.002075 loss_bbox: 0.461125 loss_dfl: 0.432259 loss: 1.913611 eta: 13:28:04 batch_cost: 0.6565 data_cost: 0.0051 ips: 60.9327 images/s
[07/28 22:26:30] ppdet.engine INFO: Epoch: [234] [420/732] learning_rate: 0.023820 loss_vfl: 0.934594 loss_bbox: 0.459612 loss_dfl: 0.432145 loss: 1.833408 eta: 13:27:41 batch_cost: 0.5765 data_cost: 0.0003 ips: 69.3840 images/s
[07/28 22:26:44] ppdet.engine INFO: Epoch: [234] [440/732] learning_rate: 0.023808 loss_vfl: 0.905939 loss_bbox: 0.428294 loss_dfl: 0.401197 loss: 1.745294 eta: 13:27:19 batch_cost: 0.5711 data_cost: 0.0036 ips: 70.0432 images/s
[07/28 22:27:00] ppdet.engine INFO: Epoch: [234] [460/732] learning_rate: 0.023796 loss_vfl: 0.963405 loss_bbox: 0.453265 loss_dfl: 0.425786 loss: 1.817422 eta: 13:26:57 batch_cost: 0.6710 data_cost: 0.0010 ips: 59.6148 images/s
[07/28 22:27:16] ppdet.engine INFO: Epoch: [234] [480/732] learning_rate: 0.023784 loss_vfl: 0.930171 loss_bbox: 0.442728 loss_dfl: 0.406688 loss: 1.796683 eta: 13:26:34 batch_cost: 0.6265 data_cost: 0.0003 ips: 63.8513 images/s
[07/28 22:27:31] ppdet.engine INFO: Epoch: [234] [500/732] learning_rate: 0.023772 loss_vfl: 0.921723 loss_bbox: 0.436554 loss_dfl: 0.416470 loss: 1.776728 eta: 13:26:12 batch_cost: 0.6012 data_cost: 0.0014 ips: 66.5319 images/s
[07/28 22:27:47] ppdet.engine INFO: Epoch: [234] [520/732] learning_rate: 0.023760 loss_vfl: 0.917212 loss_bbox: 0.466343 loss_dfl: 0.439215 loss: 1.838841 eta: 13:25:49 batch_cost: 0.6388 data_cost: 0.0003 ips: 62.6188 images/s
[07/28 22:28:01] ppdet.engine INFO: Epoch: [234] [540/732] learning_rate: 0.023748 loss_vfl: 0.848794 loss_bbox: 0.412348 loss_dfl: 0.375260 loss: 1.607569 eta: 13:25:27 batch_cost: 0.5729 data_cost: 0.0003 ips: 69.8213 images/s
[07/28 22:28:17] ppdet.engine INFO: Epoch: [234] [560/732] learning_rate: 0.023737 loss_vfl: 0.902909 loss_bbox: 0.445610 loss_dfl: 0.410953 loss: 1.747448 eta: 13:25:04 batch_cost: 0.6256 data_cost: 0.0003 ips: 63.9420 images/s
[07/28 22:28:32] ppdet.engine INFO: Epoch: [234] [580/732] learning_rate: 0.023725 loss_vfl: 0.926517 loss_bbox: 0.439014 loss_dfl: 0.407516 loss: 1.774400 eta: 13:24:42 batch_cost: 0.5836 data_cost: 0.0004 ips: 68.5372 images/s
[07/28 22:28:48] ppdet.engine INFO: Epoch: [234] [600/732] learning_rate: 0.023713 loss_vfl: 0.945502 loss_bbox: 0.452779 loss_dfl: 0.419574 loss: 1.846564 eta: 13:24:20 batch_cost: 0.6535 data_cost: 0.0003 ips: 61.2048 images/s
[07/28 22:29:02] ppdet.engine INFO: Epoch: [234] [620/732] learning_rate: 0.023701 loss_vfl: 0.914495 loss_bbox: 0.443147 loss_dfl: 0.410143 loss: 1.767393 eta: 13:23:57 batch_cost: 0.5719 data_cost: 0.0007 ips: 69.9419 images/s
[07/28 22:29:18] ppdet.engine INFO: Epoch: [234] [640/732] learning_rate: 0.023689 loss_vfl: 0.946297 loss_bbox: 0.451784 loss_dfl: 0.424049 loss: 1.830497 eta: 13:23:35 batch_cost: 0.6405 data_cost: 0.0003 ips: 62.4489 images/s
[07/28 22:29:33] ppdet.engine INFO: Epoch: [234] [660/732] learning_rate: 0.023678 loss_vfl: 0.909966 loss_bbox: 0.441931 loss_dfl: 0.413006 loss: 1.776979 eta: 13:23:12 batch_cost: 0.6110 data_cost: 0.0003 ips: 65.4713 images/s
[07/28 22:29:48] ppdet.engine INFO: Epoch: [234] [680/732] learning_rate: 0.023666 loss_vfl: 0.935401 loss_bbox: 0.461773 loss_dfl: 0.411506 loss: 1.804509 eta: 13:22:50 batch_cost: 0.6383 data_cost: 0.0015 ips: 62.6673 images/s
[07/28 22:30:03] ppdet.engine INFO: Epoch: [234] [700/732] learning_rate: 0.023654 loss_vfl: 0.932863 loss_bbox: 0.455544 loss_dfl: 0.421034 loss: 1.819829 eta: 13:22:27 batch_cost: 0.5905 data_cost: 0.0003 ips: 67.7438 images/s
[07/28 22:30:17] ppdet.engine INFO: Epoch: [234] [720/732] learning_rate: 0.023642 loss_vfl: 0.926154 loss_bbox: 0.455983 loss_dfl: 0.410243 loss: 1.809470 eta: 13:22:05 batch_cost: 0.5815 data_cost: 0.0004 ips: 68.7843 images/s
[07/28 22:30:31] ppdet.engine INFO: Epoch: [235] [  0/732] learning_rate: 0.023635 loss_vfl: 0.873245 loss_bbox: 0.427847 loss_dfl: 0.392020 loss: 1.701312 eta: 13:21:52 batch_cost: 0.7509 data_cost: 0.2309 ips: 53.2703 images/s
[07/28 22:30:49] ppdet.engine INFO: Epoch: [235] [ 20/732] learning_rate: 0.023624 loss_vfl: 0.964789 loss_bbox: 0.474816 loss_dfl: 0.433107 loss: 1.877512 eta: 13:21:30 batch_cost: 0.6653 data_cost: 0.0003 ips: 60.1193 images/s
[07/28 22:31:04] ppdet.engine INFO: Epoch: [235] [ 40/732] learning_rate: 0.023612 loss_vfl: 0.892784 loss_bbox: 0.431169 loss_dfl: 0.404527 loss: 1.737926 eta: 13:21:08 batch_cost: 0.6231 data_cost: 0.0003 ips: 64.1982 images/s
[07/28 22:31:20] ppdet.engine INFO: Epoch: [235] [ 60/732] learning_rate: 0.023600 loss_vfl: 0.972934 loss_bbox: 0.471744 loss_dfl: 0.431138 loss: 1.892240 eta: 13:20:45 batch_cost: 0.6284 data_cost: 0.0010 ips: 63.6490 images/s
[07/28 22:31:35] ppdet.engine INFO: Epoch: [235] [ 80/732] learning_rate: 0.023588 loss_vfl: 0.923636 loss_bbox: 0.473565 loss_dfl: 0.419095 loss: 1.816296 eta: 13:20:23 batch_cost: 0.6455 data_cost: 0.0003 ips: 61.9639 images/s
[07/28 22:31:50] ppdet.engine INFO: Epoch: [235] [100/732] learning_rate: 0.023577 loss_vfl: 0.931686 loss_bbox: 0.455492 loss_dfl: 0.421629 loss: 1.823468 eta: 13:20:01 batch_cost: 0.6021 data_cost: 0.0003 ips: 66.4313 images/s
[07/28 22:32:06] ppdet.engine INFO: Epoch: [235] [120/732] learning_rate: 0.023565 loss_vfl: 0.922926 loss_bbox: 0.440192 loss_dfl: 0.410074 loss: 1.779928 eta: 13:19:39 batch_cost: 0.6842 data_cost: 0.0009 ips: 58.4645 images/s
[07/28 22:32:22] ppdet.engine INFO: Epoch: [235] [140/732] learning_rate: 0.023553 loss_vfl: 0.928411 loss_bbox: 0.453181 loss_dfl: 0.417784 loss: 1.799310 eta: 13:19:17 batch_cost: 0.6776 data_cost: 0.0003 ips: 59.0285 images/s
[07/28 22:32:38] ppdet.engine INFO: Epoch: [235] [160/732] learning_rate: 0.023542 loss_vfl: 0.941517 loss_bbox: 0.446727 loss_dfl: 0.431750 loss: 1.814144 eta: 13:18:55 batch_cost: 0.6741 data_cost: 0.0003 ips: 59.3388 images/s
[07/28 22:32:54] ppdet.engine INFO: Epoch: [235] [180/732] learning_rate: 0.023530 loss_vfl: 0.930188 loss_bbox: 0.439138 loss_dfl: 0.418119 loss: 1.802881 eta: 13:18:33 batch_cost: 0.6744 data_cost: 0.0003 ips: 59.3116 images/s
[07/28 22:33:08] ppdet.engine INFO: Epoch: [235] [200/732] learning_rate: 0.023518 loss_vfl: 0.933514 loss_bbox: 0.441602 loss_dfl: 0.420267 loss: 1.790069 eta: 13:18:10 batch_cost: 0.5815 data_cost: 0.0003 ips: 68.7893 images/s
[07/28 22:33:23] ppdet.engine INFO: Epoch: [235] [220/732] learning_rate: 0.023506 loss_vfl: 0.883267 loss_bbox: 0.437700 loss_dfl: 0.402608 loss: 1.718109 eta: 13:17:48 batch_cost: 0.6423 data_cost: 0.0003 ips: 62.2716 images/s
[07/28 22:33:38] ppdet.engine INFO: Epoch: [235] [240/732] learning_rate: 0.023495 loss_vfl: 0.869910 loss_bbox: 0.441603 loss_dfl: 0.396525 loss: 1.683891 eta: 13:17:25 batch_cost: 0.6187 data_cost: 0.0003 ips: 64.6528 images/s
[07/28 22:33:52] ppdet.engine INFO: Epoch: [235] [260/732] learning_rate: 0.023483 loss_vfl: 0.925955 loss_bbox: 0.449781 loss_dfl: 0.412075 loss: 1.771553 eta: 13:17:03 batch_cost: 0.5734 data_cost: 0.0003 ips: 69.7588 images/s
[07/28 22:34:07] ppdet.engine INFO: Epoch: [235] [280/732] learning_rate: 0.023472 loss_vfl: 0.945999 loss_bbox: 0.443794 loss_dfl: 0.415660 loss: 1.809843 eta: 13:16:40 batch_cost: 0.5771 data_cost: 0.0003 ips: 69.3134 images/s
[07/28 22:34:22] ppdet.engine INFO: Epoch: [235] [300/732] learning_rate: 0.023460 loss_vfl: 0.880303 loss_bbox: 0.438381 loss_dfl: 0.399669 loss: 1.704958 eta: 13:16:18 batch_cost: 0.6287 data_cost: 0.0009 ips: 63.6210 images/s
[07/28 22:34:37] ppdet.engine INFO: Epoch: [235] [320/732] learning_rate: 0.023448 loss_vfl: 0.891929 loss_bbox: 0.433870 loss_dfl: 0.393465 loss: 1.693759 eta: 13:15:56 batch_cost: 0.6631 data_cost: 0.0026 ips: 60.3241 images/s
[07/28 22:34:52] ppdet.engine INFO: Epoch: [235] [340/732] learning_rate: 0.023437 loss_vfl: 0.916180 loss_bbox: 0.450840 loss_dfl: 0.408993 loss: 1.776325 eta: 13:15:33 batch_cost: 0.6091 data_cost: 0.0003 ips: 65.6664 images/s
[07/28 22:35:07] ppdet.engine INFO: Epoch: [235] [360/732] learning_rate: 0.023425 loss_vfl: 0.898070 loss_bbox: 0.450781 loss_dfl: 0.408516 loss: 1.754658 eta: 13:15:11 batch_cost: 0.6347 data_cost: 0.0022 ips: 63.0207 images/s
[07/28 22:35:22] ppdet.engine INFO: Epoch: [235] [380/732] learning_rate: 0.023414 loss_vfl: 0.911975 loss_bbox: 0.442073 loss_dfl: 0.404117 loss: 1.757333 eta: 13:14:49 batch_cost: 0.6418 data_cost: 0.0026 ips: 62.3257 images/s
[07/28 22:35:37] ppdet.engine INFO: Epoch: [235] [400/732] learning_rate: 0.023402 loss_vfl: 0.927050 loss_bbox: 0.471611 loss_dfl: 0.424701 loss: 1.810801 eta: 13:14:26 batch_cost: 0.6047 data_cost: 0.0003 ips: 66.1475 images/s
[07/28 22:35:53] ppdet.engine INFO: Epoch: [235] [420/732] learning_rate: 0.023390 loss_vfl: 0.852771 loss_bbox: 0.433206 loss_dfl: 0.386666 loss: 1.679933 eta: 13:14:04 batch_cost: 0.6123 data_cost: 0.0003 ips: 65.3226 images/s
[07/28 22:36:08] ppdet.engine INFO: Epoch: [235] [440/732] learning_rate: 0.023379 loss_vfl: 0.872337 loss_bbox: 0.425875 loss_dfl: 0.397019 loss: 1.683764 eta: 13:13:42 batch_cost: 0.6140 data_cost: 0.0003 ips: 65.1451 images/s
[07/28 22:36:23] ppdet.engine INFO: Epoch: [235] [460/732] learning_rate: 0.023367 loss_vfl: 0.885288 loss_bbox: 0.441909 loss_dfl: 0.405453 loss: 1.748253 eta: 13:13:19 batch_cost: 0.6038 data_cost: 0.0003 ips: 66.2425 images/s
[07/28 22:36:38] ppdet.engine INFO: Epoch: [235] [480/732] learning_rate: 0.023356 loss_vfl: 0.915254 loss_bbox: 0.424714 loss_dfl: 0.393248 loss: 1.743165 eta: 13:12:57 batch_cost: 0.6218 data_cost: 0.0021 ips: 64.3307 images/s
[07/28 22:36:53] ppdet.engine INFO: Epoch: [235] [500/732] learning_rate: 0.023344 loss_vfl: 0.925990 loss_bbox: 0.456523 loss_dfl: 0.419091 loss: 1.803503 eta: 13:12:35 batch_cost: 0.6474 data_cost: 0.0004 ips: 61.7835 images/s
[07/28 22:37:09] ppdet.engine INFO: Epoch: [235] [520/732] learning_rate: 0.023333 loss_vfl: 0.929690 loss_bbox: 0.466213 loss_dfl: 0.419691 loss: 1.821045 eta: 13:12:12 batch_cost: 0.6334 data_cost: 0.0003 ips: 63.1477 images/s
[07/28 22:37:24] ppdet.engine INFO: Epoch: [235] [540/732] learning_rate: 0.023321 loss_vfl: 0.926771 loss_bbox: 0.445878 loss_dfl: 0.418409 loss: 1.782704 eta: 13:11:50 batch_cost: 0.6302 data_cost: 0.0005 ips: 63.4768 images/s
[07/28 22:37:38] ppdet.engine INFO: Epoch: [235] [560/732] learning_rate: 0.023310 loss_vfl: 0.945842 loss_bbox: 0.476112 loss_dfl: 0.425796 loss: 1.856599 eta: 13:11:28 batch_cost: 0.5908 data_cost: 0.0010 ips: 67.7057 images/s
[07/28 22:37:53] ppdet.engine INFO: Epoch: [235] [580/732] learning_rate: 0.023298 loss_vfl: 0.872660 loss_bbox: 0.418938 loss_dfl: 0.387315 loss: 1.672749 eta: 13:11:05 batch_cost: 0.5898 data_cost: 0.0013 ips: 67.8171 images/s
[07/28 22:38:08] ppdet.engine INFO: Epoch: [235] [600/732] learning_rate: 0.023287 loss_vfl: 0.907661 loss_bbox: 0.464220 loss_dfl: 0.412969 loss: 1.784895 eta: 13:10:43 batch_cost: 0.6618 data_cost: 0.0009 ips: 60.4406 images/s
[07/28 22:38:24] ppdet.engine INFO: Epoch: [235] [620/732] learning_rate: 0.023275 loss_vfl: 0.958958 loss_bbox: 0.468347 loss_dfl: 0.434170 loss: 1.860221 eta: 13:10:21 batch_cost: 0.6613 data_cost: 0.0003 ips: 60.4903 images/s
[07/28 22:38:39] ppdet.engine INFO: Epoch: [235] [640/732] learning_rate: 0.023264 loss_vfl: 0.901582 loss_bbox: 0.402609 loss_dfl: 0.392619 loss: 1.709399 eta: 13:09:59 batch_cost: 0.6511 data_cost: 0.0009 ips: 61.4368 images/s
[07/28 22:38:55] ppdet.engine INFO: Epoch: [235] [660/732] learning_rate: 0.023252 loss_vfl: 0.907703 loss_bbox: 0.437948 loss_dfl: 0.401840 loss: 1.745295 eta: 13:09:37 batch_cost: 0.6337 data_cost: 0.0005 ips: 63.1202 images/s
[07/28 22:39:10] ppdet.engine INFO: Epoch: [235] [680/732] learning_rate: 0.023241 loss_vfl: 0.859208 loss_bbox: 0.415911 loss_dfl: 0.397543 loss: 1.682037 eta: 13:09:14 batch_cost: 0.6150 data_cost: 0.0009 ips: 65.0430 images/s
[07/28 22:39:25] ppdet.engine INFO: Epoch: [235] [700/732] learning_rate: 0.023229 loss_vfl: 0.937344 loss_bbox: 0.441495 loss_dfl: 0.421412 loss: 1.790656 eta: 13:08:52 batch_cost: 0.6431 data_cost: 0.0008 ips: 62.1955 images/s
[07/28 22:39:40] ppdet.engine INFO: Epoch: [235] [720/732] learning_rate: 0.023218 loss_vfl: 0.937674 loss_bbox: 0.445325 loss_dfl: 0.422733 loss: 1.808173 eta: 13:08:30 batch_cost: 0.6041 data_cost: 0.0008 ips: 66.2156 images/s
[07/28 22:39:53] ppdet.engine INFO: Epoch: [236] [  0/732] learning_rate: 0.023211 loss_vfl: 0.893794 loss_bbox: 0.427904 loss_dfl: 0.392439 loss: 1.698564 eta: 13:08:17 batch_cost: 0.7642 data_cost: 0.1567 ips: 52.3390 images/s
[07/28 22:40:10] ppdet.engine INFO: Epoch: [236] [ 20/732] learning_rate: 0.023199 loss_vfl: 0.877926 loss_bbox: 0.417217 loss_dfl: 0.386409 loss: 1.668262 eta: 13:07:55 batch_cost: 0.6993 data_cost: 0.0008 ips: 57.2025 images/s
[07/28 22:40:27] ppdet.engine INFO: Epoch: [236] [ 40/732] learning_rate: 0.023188 loss_vfl: 0.866638 loss_bbox: 0.411767 loss_dfl: 0.388356 loss: 1.672252 eta: 13:07:33 batch_cost: 0.6993 data_cost: 0.0003 ips: 57.1977 images/s
[07/28 22:40:42] ppdet.engine INFO: Epoch: [236] [ 60/732] learning_rate: 0.023177 loss_vfl: 0.898312 loss_bbox: 0.442208 loss_dfl: 0.416115 loss: 1.757872 eta: 13:07:11 batch_cost: 0.6209 data_cost: 0.0003 ips: 64.4222 images/s
[07/28 22:40:57] ppdet.engine INFO: Epoch: [236] [ 80/732] learning_rate: 0.023165 loss_vfl: 0.923187 loss_bbox: 0.454353 loss_dfl: 0.413982 loss: 1.781766 eta: 13:06:49 batch_cost: 0.5824 data_cost: 0.0003 ips: 68.6854 images/s
[07/28 22:41:12] ppdet.engine INFO: Epoch: [236] [100/732] learning_rate: 0.023154 loss_vfl: 0.931192 loss_bbox: 0.434656 loss_dfl: 0.419161 loss: 1.802956 eta: 13:06:26 batch_cost: 0.6114 data_cost: 0.0003 ips: 65.4201 images/s
[07/28 22:41:26] ppdet.engine INFO: Epoch: [236] [120/732] learning_rate: 0.023142 loss_vfl: 0.893074 loss_bbox: 0.433247 loss_dfl: 0.402364 loss: 1.745501 eta: 13:06:04 batch_cost: 0.5969 data_cost: 0.0009 ips: 67.0165 images/s
[07/28 22:41:42] ppdet.engine INFO: Epoch: [236] [140/732] learning_rate: 0.023131 loss_vfl: 0.906244 loss_bbox: 0.444487 loss_dfl: 0.404339 loss: 1.740009 eta: 13:05:42 batch_cost: 0.6638 data_cost: 0.0003 ips: 60.2570 images/s
[07/28 22:41:57] ppdet.engine INFO: Epoch: [236] [160/732] learning_rate: 0.023120 loss_vfl: 0.868297 loss_bbox: 0.429064 loss_dfl: 0.394197 loss: 1.683971 eta: 13:05:19 batch_cost: 0.6049 data_cost: 0.0003 ips: 66.1274 images/s
[07/28 22:42:11] ppdet.engine INFO: Epoch: [236] [180/732] learning_rate: 0.023108 loss_vfl: 0.886429 loss_bbox: 0.435073 loss_dfl: 0.418208 loss: 1.772293 eta: 13:04:57 batch_cost: 0.6052 data_cost: 0.0003 ips: 66.0934 images/s
[07/28 22:42:26] ppdet.engine INFO: Epoch: [236] [200/732] learning_rate: 0.023097 loss_vfl: 0.876612 loss_bbox: 0.415132 loss_dfl: 0.388141 loss: 1.661037 eta: 13:04:35 batch_cost: 0.6338 data_cost: 0.0003 ips: 63.1111 images/s
[07/28 22:42:41] ppdet.engine INFO: Epoch: [236] [220/732] learning_rate: 0.023086 loss_vfl: 0.863261 loss_bbox: 0.421161 loss_dfl: 0.395769 loss: 1.691210 eta: 13:04:13 batch_cost: 0.6244 data_cost: 0.0003 ips: 64.0597 images/s
[07/28 22:42:55] ppdet.engine INFO: Epoch: [236] [240/732] learning_rate: 0.023074 loss_vfl: 0.939298 loss_bbox: 0.464487 loss_dfl: 0.424590 loss: 1.832963 eta: 13:03:50 batch_cost: 0.6282 data_cost: 0.0003 ips: 63.6763 images/s
[07/28 22:43:10] ppdet.engine INFO: Epoch: [236] [260/732] learning_rate: 0.023063 loss_vfl: 0.899490 loss_bbox: 0.434640 loss_dfl: 0.396505 loss: 1.689908 eta: 13:03:28 batch_cost: 0.6215 data_cost: 0.0044 ips: 64.3607 images/s
[07/28 22:43:25] ppdet.engine INFO: Epoch: [236] [280/732] learning_rate: 0.023052 loss_vfl: 0.913365 loss_bbox: 0.428377 loss_dfl: 0.402181 loss: 1.766369 eta: 13:03:06 batch_cost: 0.6103 data_cost: 0.0003 ips: 65.5408 images/s
[07/28 22:43:40] ppdet.engine INFO: Epoch: [236] [300/732] learning_rate: 0.023040 loss_vfl: 0.890117 loss_bbox: 0.441786 loss_dfl: 0.415131 loss: 1.747034 eta: 13:02:43 batch_cost: 0.6154 data_cost: 0.0003 ips: 65.0033 images/s
[07/28 22:43:55] ppdet.engine INFO: Epoch: [236] [320/732] learning_rate: 0.023029 loss_vfl: 0.863258 loss_bbox: 0.438267 loss_dfl: 0.398342 loss: 1.712522 eta: 13:02:21 batch_cost: 0.6230 data_cost: 0.0003 ips: 64.2057 images/s
[07/28 22:44:10] ppdet.engine INFO: Epoch: [236] [340/732] learning_rate: 0.023018 loss_vfl: 0.889470 loss_bbox: 0.443709 loss_dfl: 0.415297 loss: 1.763628 eta: 13:01:59 batch_cost: 0.6385 data_cost: 0.0009 ips: 62.6494 images/s
[07/28 22:44:25] ppdet.engine INFO: Epoch: [236] [360/732] learning_rate: 0.023006 loss_vfl: 0.917997 loss_bbox: 0.459442 loss_dfl: 0.420532 loss: 1.804566 eta: 13:01:37 batch_cost: 0.6116 data_cost: 0.0003 ips: 65.4027 images/s
[07/28 22:44:41] ppdet.engine INFO: Epoch: [236] [380/732] learning_rate: 0.022995 loss_vfl: 0.904203 loss_bbox: 0.426369 loss_dfl: 0.406590 loss: 1.726004 eta: 13:01:15 batch_cost: 0.6593 data_cost: 0.0011 ips: 60.6749 images/s
[07/28 22:44:56] ppdet.engine INFO: Epoch: [236] [400/732] learning_rate: 0.022984 loss_vfl: 0.931195 loss_bbox: 0.446909 loss_dfl: 0.418316 loss: 1.792842 eta: 13:00:52 batch_cost: 0.6002 data_cost: 0.0003 ips: 66.6471 images/s
[07/28 22:45:11] ppdet.engine INFO: Epoch: [236] [420/732] learning_rate: 0.022973 loss_vfl: 0.902587 loss_bbox: 0.425104 loss_dfl: 0.395026 loss: 1.712563 eta: 13:00:30 batch_cost: 0.6329 data_cost: 0.0009 ips: 63.2010 images/s
[07/28 22:45:25] ppdet.engine INFO: Epoch: [236] [440/732] learning_rate: 0.022961 loss_vfl: 0.935570 loss_bbox: 0.460658 loss_dfl: 0.433797 loss: 1.843143 eta: 13:00:08 batch_cost: 0.6072 data_cost: 0.0003 ips: 65.8792 images/s
[07/28 22:45:41] ppdet.engine INFO: Epoch: [236] [460/732] learning_rate: 0.022950 loss_vfl: 0.894077 loss_bbox: 0.452070 loss_dfl: 0.412434 loss: 1.759917 eta: 12:59:46 batch_cost: 0.6369 data_cost: 0.0010 ips: 62.8002 images/s
[07/28 22:45:56] ppdet.engine INFO: Epoch: [236] [480/732] learning_rate: 0.022939 loss_vfl: 0.912954 loss_bbox: 0.415577 loss_dfl: 0.387840 loss: 1.716109 eta: 12:59:23 batch_cost: 0.5950 data_cost: 0.0026 ips: 67.2280 images/s
[07/28 22:46:12] ppdet.engine INFO: Epoch: [236] [500/732] learning_rate: 0.022928 loss_vfl: 0.907534 loss_bbox: 0.451979 loss_dfl: 0.403988 loss: 1.763500 eta: 12:59:01 batch_cost: 0.6202 data_cost: 0.0014 ips: 64.4975 images/s
[07/28 22:46:26] ppdet.engine INFO: Epoch: [236] [520/732] learning_rate: 0.022917 loss_vfl: 0.902831 loss_bbox: 0.457017 loss_dfl: 0.421446 loss: 1.781294 eta: 12:58:39 batch_cost: 0.5974 data_cost: 0.0004 ips: 66.9623 images/s
[07/28 22:46:41] ppdet.engine INFO: Epoch: [236] [540/732] learning_rate: 0.022905 loss_vfl: 0.900875 loss_bbox: 0.447094 loss_dfl: 0.395368 loss: 1.748401 eta: 12:58:16 batch_cost: 0.6203 data_cost: 0.0009 ips: 64.4868 images/s
[07/28 22:46:55] ppdet.engine INFO: Epoch: [236] [560/732] learning_rate: 0.022894 loss_vfl: 0.909997 loss_bbox: 0.426380 loss_dfl: 0.405868 loss: 1.768195 eta: 12:57:54 batch_cost: 0.5973 data_cost: 0.0003 ips: 66.9700 images/s
[07/28 22:47:11] ppdet.engine INFO: Epoch: [236] [580/732] learning_rate: 0.022883 loss_vfl: 0.924660 loss_bbox: 0.454370 loss_dfl: 0.413905 loss: 1.791178 eta: 12:57:32 batch_cost: 0.6513 data_cost: 0.0003 ips: 61.4196 images/s
[07/28 22:47:25] ppdet.engine INFO: Epoch: [236] [600/732] learning_rate: 0.022872 loss_vfl: 0.916844 loss_bbox: 0.457140 loss_dfl: 0.416396 loss: 1.790412 eta: 12:57:09 batch_cost: 0.5779 data_cost: 0.0011 ips: 69.2166 images/s
[07/28 22:47:39] ppdet.engine INFO: Epoch: [236] [620/732] learning_rate: 0.022861 loss_vfl: 0.919431 loss_bbox: 0.435629 loss_dfl: 0.405793 loss: 1.746744 eta: 12:56:47 batch_cost: 0.5905 data_cost: 0.0003 ips: 67.7342 images/s
[07/28 22:47:55] ppdet.engine INFO: Epoch: [236] [640/732] learning_rate: 0.022849 loss_vfl: 0.892525 loss_bbox: 0.457756 loss_dfl: 0.407466 loss: 1.771362 eta: 12:56:25 batch_cost: 0.5922 data_cost: 0.0004 ips: 67.5406 images/s
[07/28 22:48:10] ppdet.engine INFO: Epoch: [236] [660/732] learning_rate: 0.022838 loss_vfl: 0.935104 loss_bbox: 0.468513 loss_dfl: 0.412308 loss: 1.808658 eta: 12:56:02 batch_cost: 0.6293 data_cost: 0.0003 ips: 63.5632 images/s
[07/28 22:48:25] ppdet.engine INFO: Epoch: [236] [680/732] learning_rate: 0.022827 loss_vfl: 0.885271 loss_bbox: 0.426544 loss_dfl: 0.390515 loss: 1.680854 eta: 12:55:40 batch_cost: 0.6187 data_cost: 0.0003 ips: 64.6500 images/s
[07/28 22:48:40] ppdet.engine INFO: Epoch: [236] [700/732] learning_rate: 0.022816 loss_vfl: 0.926185 loss_bbox: 0.443636 loss_dfl: 0.413475 loss: 1.788243 eta: 12:55:18 batch_cost: 0.6501 data_cost: 0.0020 ips: 61.5312 images/s
[07/28 22:48:55] ppdet.engine INFO: Epoch: [236] [720/732] learning_rate: 0.022805 loss_vfl: 0.917230 loss_bbox: 0.443923 loss_dfl: 0.425177 loss: 1.798697 eta: 12:54:56 batch_cost: 0.6303 data_cost: 0.0008 ips: 63.4593 images/s
[07/28 22:49:08] ppdet.engine INFO: Epoch: [237] [  0/732] learning_rate: 0.022798 loss_vfl: 0.937620 loss_bbox: 0.450957 loss_dfl: 0.424853 loss: 1.784814 eta: 12:54:43 batch_cost: 0.7534 data_cost: 0.1753 ips: 53.0958 images/s
[07/28 22:49:26] ppdet.engine INFO: Epoch: [237] [ 20/732] learning_rate: 0.022787 loss_vfl: 0.922431 loss_bbox: 0.468510 loss_dfl: 0.425875 loss: 1.815156 eta: 12:54:22 batch_cost: 0.7384 data_cost: 0.0003 ips: 54.1701 images/s
[07/28 22:49:41] ppdet.engine INFO: Epoch: [237] [ 40/732] learning_rate: 0.022776 loss_vfl: 0.935049 loss_bbox: 0.455920 loss_dfl: 0.417858 loss: 1.800252 eta: 12:53:59 batch_cost: 0.6031 data_cost: 0.0006 ips: 66.3224 images/s
[07/28 22:49:55] ppdet.engine INFO: Epoch: [237] [ 60/732] learning_rate: 0.022765 loss_vfl: 0.909300 loss_bbox: 0.436692 loss_dfl: 0.408787 loss: 1.765903 eta: 12:53:37 batch_cost: 0.5551 data_cost: 0.0004 ips: 72.0551 images/s
[07/28 22:50:11] ppdet.engine INFO: Epoch: [237] [ 80/732] learning_rate: 0.022754 loss_vfl: 0.853885 loss_bbox: 0.431007 loss_dfl: 0.388682 loss: 1.658014 eta: 12:53:15 batch_cost: 0.6828 data_cost: 0.0003 ips: 58.5844 images/s
[07/28 22:50:28] ppdet.engine INFO: Epoch: [237] [100/732] learning_rate: 0.022743 loss_vfl: 0.875552 loss_bbox: 0.416654 loss_dfl: 0.396402 loss: 1.705977 eta: 12:52:53 batch_cost: 0.7077 data_cost: 0.0003 ips: 56.5186 images/s
[07/28 22:50:43] ppdet.engine INFO: Epoch: [237] [120/732] learning_rate: 0.022732 loss_vfl: 0.901032 loss_bbox: 0.440607 loss_dfl: 0.422819 loss: 1.781329 eta: 12:52:31 batch_cost: 0.6235 data_cost: 0.0003 ips: 64.1521 images/s
[07/28 22:50:58] ppdet.engine INFO: Epoch: [237] [140/732] learning_rate: 0.022721 loss_vfl: 0.981462 loss_bbox: 0.479157 loss_dfl: 0.441924 loss: 1.892645 eta: 12:52:09 batch_cost: 0.6416 data_cost: 0.0004 ips: 62.3433 images/s
[07/28 22:51:15] ppdet.engine INFO: Epoch: [237] [160/732] learning_rate: 0.022710 loss_vfl: 0.887608 loss_bbox: 0.452622 loss_dfl: 0.406604 loss: 1.740603 eta: 12:51:47 batch_cost: 0.6610 data_cost: 0.0004 ips: 60.5149 images/s
[07/28 22:51:31] ppdet.engine INFO: Epoch: [237] [180/732] learning_rate: 0.022698 loss_vfl: 0.929777 loss_bbox: 0.456382 loss_dfl: 0.418824 loss: 1.806967 eta: 12:51:25 batch_cost: 0.6684 data_cost: 0.0003 ips: 59.8462 images/s
[07/28 22:51:46] ppdet.engine INFO: Epoch: [237] [200/732] learning_rate: 0.022687 loss_vfl: 0.883420 loss_bbox: 0.438689 loss_dfl: 0.395146 loss: 1.728490 eta: 12:51:03 batch_cost: 0.6323 data_cost: 0.0012 ips: 63.2644 images/s
[07/28 22:52:01] ppdet.engine INFO: Epoch: [237] [220/732] learning_rate: 0.022676 loss_vfl: 0.849669 loss_bbox: 0.417264 loss_dfl: 0.387417 loss: 1.663314 eta: 12:50:41 batch_cost: 0.6474 data_cost: 0.0016 ips: 61.7879 images/s
[07/28 22:52:16] ppdet.engine INFO: Epoch: [237] [240/732] learning_rate: 0.022665 loss_vfl: 0.922476 loss_bbox: 0.454390 loss_dfl: 0.413823 loss: 1.787377 eta: 12:50:19 batch_cost: 0.5979 data_cost: 0.0003 ips: 66.9058 images/s
[07/28 22:52:32] ppdet.engine INFO: Epoch: [237] [260/732] learning_rate: 0.022654 loss_vfl: 0.920271 loss_bbox: 0.459629 loss_dfl: 0.431907 loss: 1.806799 eta: 12:49:57 batch_cost: 0.6601 data_cost: 0.0009 ips: 60.5940 images/s
[07/28 22:52:47] ppdet.engine INFO: Epoch: [237] [280/732] learning_rate: 0.022643 loss_vfl: 0.845650 loss_bbox: 0.422659 loss_dfl: 0.397213 loss: 1.676436 eta: 12:49:34 batch_cost: 0.6019 data_cost: 0.0010 ips: 66.4545 images/s
[07/28 22:53:02] ppdet.engine INFO: Epoch: [237] [300/732] learning_rate: 0.022632 loss_vfl: 0.887448 loss_bbox: 0.429158 loss_dfl: 0.405990 loss: 1.732619 eta: 12:49:12 batch_cost: 0.6128 data_cost: 0.0003 ips: 65.2771 images/s
[07/28 22:53:17] ppdet.engine INFO: Epoch: [237] [320/732] learning_rate: 0.022621 loss_vfl: 0.949336 loss_bbox: 0.448947 loss_dfl: 0.429021 loss: 1.836254 eta: 12:48:50 batch_cost: 0.6207 data_cost: 0.0009 ips: 64.4426 images/s
[07/28 22:53:32] ppdet.engine INFO: Epoch: [237] [340/732] learning_rate: 0.022610 loss_vfl: 0.921466 loss_bbox: 0.452613 loss_dfl: 0.415531 loss: 1.803219 eta: 12:48:28 batch_cost: 0.6144 data_cost: 0.0003 ips: 65.0990 images/s
[07/28 22:53:48] ppdet.engine INFO: Epoch: [237] [360/732] learning_rate: 0.022600 loss_vfl: 0.885982 loss_bbox: 0.418331 loss_dfl: 0.390958 loss: 1.696856 eta: 12:48:06 batch_cost: 0.6487 data_cost: 0.0003 ips: 61.6598 images/s
[07/28 22:54:03] ppdet.engine INFO: Epoch: [237] [380/732] learning_rate: 0.022589 loss_vfl: 0.955705 loss_bbox: 0.463897 loss_dfl: 0.433101 loss: 1.835426 eta: 12:47:43 batch_cost: 0.6092 data_cost: 0.0006 ips: 65.6622 images/s
[07/28 22:54:18] ppdet.engine INFO: Epoch: [237] [400/732] learning_rate: 0.022578 loss_vfl: 0.935725 loss_bbox: 0.463613 loss_dfl: 0.424810 loss: 1.811411 eta: 12:47:21 batch_cost: 0.6236 data_cost: 0.0003 ips: 64.1454 images/s
[07/28 22:54:34] ppdet.engine INFO: Epoch: [237] [420/732] learning_rate: 0.022567 loss_vfl: 0.918880 loss_bbox: 0.442800 loss_dfl: 0.408414 loss: 1.755870 eta: 12:46:59 batch_cost: 0.6601 data_cost: 0.0003 ips: 60.5980 images/s
[07/28 22:54:50] ppdet.engine INFO: Epoch: [237] [440/732] learning_rate: 0.022556 loss_vfl: 0.911724 loss_bbox: 0.436707 loss_dfl: 0.410712 loss: 1.784675 eta: 12:46:37 batch_cost: 0.6374 data_cost: 0.0027 ips: 62.7579 images/s
[07/28 22:55:05] ppdet.engine INFO: Epoch: [237] [460/732] learning_rate: 0.022545 loss_vfl: 0.893821 loss_bbox: 0.433719 loss_dfl: 0.399554 loss: 1.719843 eta: 12:46:15 batch_cost: 0.6032 data_cost: 0.0010 ips: 66.3180 images/s
[07/28 22:55:21] ppdet.engine INFO: Epoch: [237] [480/732] learning_rate: 0.022534 loss_vfl: 0.917659 loss_bbox: 0.425361 loss_dfl: 0.403946 loss: 1.739760 eta: 12:45:53 batch_cost: 0.6938 data_cost: 0.0014 ips: 57.6576 images/s
[07/28 22:55:36] ppdet.engine INFO: Epoch: [237] [500/732] learning_rate: 0.022523 loss_vfl: 0.924200 loss_bbox: 0.453961 loss_dfl: 0.404512 loss: 1.757616 eta: 12:45:31 batch_cost: 0.6519 data_cost: 0.0004 ips: 61.3629 images/s
[07/28 22:55:52] ppdet.engine INFO: Epoch: [237] [520/732] learning_rate: 0.022512 loss_vfl: 0.917423 loss_bbox: 0.453845 loss_dfl: 0.405854 loss: 1.758896 eta: 12:45:09 batch_cost: 0.6433 data_cost: 0.0062 ips: 62.1749 images/s
[07/28 22:56:07] ppdet.engine INFO: Epoch: [237] [540/732] learning_rate: 0.022501 loss_vfl: 0.880932 loss_bbox: 0.441037 loss_dfl: 0.398256 loss: 1.710338 eta: 12:44:47 batch_cost: 0.6499 data_cost: 0.0009 ips: 61.5492 images/s
[07/28 22:56:23] ppdet.engine INFO: Epoch: [237] [560/732] learning_rate: 0.022490 loss_vfl: 0.922869 loss_bbox: 0.427956 loss_dfl: 0.406286 loss: 1.757649 eta: 12:44:25 batch_cost: 0.5975 data_cost: 0.0003 ips: 66.9463 images/s
[07/28 22:56:37] ppdet.engine INFO: Epoch: [237] [580/732] learning_rate: 0.022479 loss_vfl: 0.864651 loss_bbox: 0.440415 loss_dfl: 0.396707 loss: 1.712648 eta: 12:44:02 batch_cost: 0.5817 data_cost: 0.0071 ips: 68.7599 images/s
[07/28 22:56:54] ppdet.engine INFO: Epoch: [237] [600/732] learning_rate: 0.022469 loss_vfl: 0.917965 loss_bbox: 0.442748 loss_dfl: 0.405214 loss: 1.761933 eta: 12:43:41 batch_cost: 0.6761 data_cost: 0.0010 ips: 59.1618 images/s
[07/28 22:57:11] ppdet.engine INFO: Epoch: [237] [620/732] learning_rate: 0.022458 loss_vfl: 0.912341 loss_bbox: 0.434533 loss_dfl: 0.412486 loss: 1.746430 eta: 12:43:19 batch_cost: 0.6794 data_cost: 0.0009 ips: 58.8746 images/s
[07/28 22:57:26] ppdet.engine INFO: Epoch: [237] [640/732] learning_rate: 0.022447 loss_vfl: 0.890313 loss_bbox: 0.406186 loss_dfl: 0.384045 loss: 1.673022 eta: 12:42:57 batch_cost: 0.6477 data_cost: 0.0007 ips: 61.7539 images/s
[07/28 22:57:42] ppdet.engine INFO: Epoch: [237] [660/732] learning_rate: 0.022436 loss_vfl: 0.907231 loss_bbox: 0.442176 loss_dfl: 0.403900 loss: 1.759784 eta: 12:42:34 batch_cost: 0.5988 data_cost: 0.0003 ips: 66.8019 images/s
[07/28 22:57:56] ppdet.engine INFO: Epoch: [237] [680/732] learning_rate: 0.022425 loss_vfl: 0.923923 loss_bbox: 0.438840 loss_dfl: 0.409783 loss: 1.767740 eta: 12:42:12 batch_cost: 0.5994 data_cost: 0.0003 ips: 66.7334 images/s
[07/28 22:58:12] ppdet.engine INFO: Epoch: [237] [700/732] learning_rate: 0.022414 loss_vfl: 0.939568 loss_bbox: 0.446932 loss_dfl: 0.417103 loss: 1.807275 eta: 12:41:50 batch_cost: 0.6752 data_cost: 0.0003 ips: 59.2395 images/s
[07/28 22:58:27] ppdet.engine INFO: Epoch: [237] [720/732] learning_rate: 0.022404 loss_vfl: 0.863613 loss_bbox: 0.417720 loss_dfl: 0.395746 loss: 1.683336 eta: 12:41:28 batch_cost: 0.6192 data_cost: 0.0004 ips: 64.5988 images/s
[07/28 22:58:42] ppdet.engine INFO: Epoch: [238] [  0/732] learning_rate: 0.022397 loss_vfl: 0.873075 loss_bbox: 0.444092 loss_dfl: 0.400725 loss: 1.696511 eta: 12:41:16 batch_cost: 0.8670 data_cost: 0.2468 ips: 46.1352 images/s
[07/28 22:58:59] ppdet.engine INFO: Epoch: [238] [ 20/732] learning_rate: 0.022386 loss_vfl: 0.899194 loss_bbox: 0.465020 loss_dfl: 0.424917 loss: 1.788304 eta: 12:40:54 batch_cost: 0.7056 data_cost: 0.0019 ips: 56.6889 images/s
[07/28 22:59:16] ppdet.engine INFO: Epoch: [238] [ 40/732] learning_rate: 0.022376 loss_vfl: 0.878304 loss_bbox: 0.432817 loss_dfl: 0.408602 loss: 1.740477 eta: 12:40:33 batch_cost: 0.6670 data_cost: 0.0018 ips: 59.9686 images/s
[07/28 22:59:30] ppdet.engine INFO: Epoch: [238] [ 60/732] learning_rate: 0.022365 loss_vfl: 0.937744 loss_bbox: 0.462729 loss_dfl: 0.427030 loss: 1.821295 eta: 12:40:10 batch_cost: 0.5880 data_cost: 0.0003 ips: 68.0228 images/s
[07/28 22:59:43] ppdet.engine INFO: Epoch: [238] [ 80/732] learning_rate: 0.022354 loss_vfl: 0.864522 loss_bbox: 0.426982 loss_dfl: 0.399488 loss: 1.686354 eta: 12:39:48 batch_cost: 0.5350 data_cost: 0.0003 ips: 74.7722 images/s
[07/28 22:59:58] ppdet.engine INFO: Epoch: [238] [100/732] learning_rate: 0.022343 loss_vfl: 0.853583 loss_bbox: 0.422453 loss_dfl: 0.394837 loss: 1.664853 eta: 12:39:25 batch_cost: 0.6060 data_cost: 0.0003 ips: 66.0021 images/s
[07/28 23:00:13] ppdet.engine INFO: Epoch: [238] [120/732] learning_rate: 0.022333 loss_vfl: 0.902884 loss_bbox: 0.448260 loss_dfl: 0.405407 loss: 1.774045 eta: 12:39:03 batch_cost: 0.5973 data_cost: 0.0003 ips: 66.9665 images/s
[07/28 23:00:28] ppdet.engine INFO: Epoch: [238] [140/732] learning_rate: 0.022322 loss_vfl: 0.877431 loss_bbox: 0.455172 loss_dfl: 0.397017 loss: 1.734886 eta: 12:38:41 batch_cost: 0.6570 data_cost: 0.0012 ips: 60.8815 images/s
[07/28 23:00:43] ppdet.engine INFO: Epoch: [238] [160/732] learning_rate: 0.022311 loss_vfl: 0.887958 loss_bbox: 0.413966 loss_dfl: 0.399150 loss: 1.700430 eta: 12:38:19 batch_cost: 0.6402 data_cost: 0.0004 ips: 62.4775 images/s
[07/28 23:00:59] ppdet.engine INFO: Epoch: [238] [180/732] learning_rate: 0.022300 loss_vfl: 0.889004 loss_bbox: 0.433310 loss_dfl: 0.396348 loss: 1.705583 eta: 12:37:57 batch_cost: 0.6149 data_cost: 0.0003 ips: 65.0499 images/s
[07/28 23:01:14] ppdet.engine INFO: Epoch: [238] [200/732] learning_rate: 0.022290 loss_vfl: 0.920018 loss_bbox: 0.439665 loss_dfl: 0.417216 loss: 1.780852 eta: 12:37:35 batch_cost: 0.6272 data_cost: 0.0003 ips: 63.7787 images/s
[07/28 23:01:28] ppdet.engine INFO: Epoch: [238] [220/732] learning_rate: 0.022279 loss_vfl: 0.907565 loss_bbox: 0.460936 loss_dfl: 0.418093 loss: 1.789396 eta: 12:37:13 batch_cost: 0.5946 data_cost: 0.0012 ips: 67.2714 images/s
[07/28 23:01:44] ppdet.engine INFO: Epoch: [238] [240/732] learning_rate: 0.022268 loss_vfl: 0.920167 loss_bbox: 0.458555 loss_dfl: 0.412676 loss: 1.779513 eta: 12:36:51 batch_cost: 0.6664 data_cost: 0.0003 ips: 60.0236 images/s
[07/28 23:01:59] ppdet.engine INFO: Epoch: [238] [260/732] learning_rate: 0.022258 loss_vfl: 0.924601 loss_bbox: 0.472900 loss_dfl: 0.434734 loss: 1.850209 eta: 12:36:29 batch_cost: 0.6151 data_cost: 0.0003 ips: 65.0291 images/s
[07/28 23:02:14] ppdet.engine INFO: Epoch: [238] [280/732] learning_rate: 0.022247 loss_vfl: 0.931865 loss_bbox: 0.454449 loss_dfl: 0.415017 loss: 1.758181 eta: 12:36:07 batch_cost: 0.6224 data_cost: 0.0007 ips: 64.2677 images/s
[07/28 23:02:30] ppdet.engine INFO: Epoch: [238] [300/732] learning_rate: 0.022236 loss_vfl: 0.888653 loss_bbox: 0.417049 loss_dfl: 0.394856 loss: 1.710721 eta: 12:35:45 batch_cost: 0.6751 data_cost: 0.0003 ips: 59.2483 images/s
[07/28 23:02:45] ppdet.engine INFO: Epoch: [238] [320/732] learning_rate: 0.022226 loss_vfl: 0.926174 loss_bbox: 0.448515 loss_dfl: 0.420613 loss: 1.790598 eta: 12:35:23 batch_cost: 0.6530 data_cost: 0.0010 ips: 61.2520 images/s
[07/28 23:03:00] ppdet.engine INFO: Epoch: [238] [340/732] learning_rate: 0.022215 loss_vfl: 0.899111 loss_bbox: 0.428511 loss_dfl: 0.403845 loss: 1.715902 eta: 12:35:01 batch_cost: 0.5778 data_cost: 0.0003 ips: 69.2281 images/s
[07/28 23:03:15] ppdet.engine INFO: Epoch: [238] [360/732] learning_rate: 0.022204 loss_vfl: 0.886118 loss_bbox: 0.436377 loss_dfl: 0.387994 loss: 1.712575 eta: 12:34:39 batch_cost: 0.6301 data_cost: 0.0003 ips: 63.4868 images/s
[07/28 23:03:30] ppdet.engine INFO: Epoch: [238] [380/732] learning_rate: 0.022194 loss_vfl: 0.927040 loss_bbox: 0.453730 loss_dfl: 0.420912 loss: 1.800044 eta: 12:34:16 batch_cost: 0.6187 data_cost: 0.0009 ips: 64.6567 images/s
[07/28 23:03:44] ppdet.engine INFO: Epoch: [238] [400/732] learning_rate: 0.022183 loss_vfl: 0.879246 loss_bbox: 0.435234 loss_dfl: 0.402427 loss: 1.716641 eta: 12:33:54 batch_cost: 0.5626 data_cost: 0.0016 ips: 71.0949 images/s
[07/28 23:03:59] ppdet.engine INFO: Epoch: [238] [420/732] learning_rate: 0.022172 loss_vfl: 0.925073 loss_bbox: 0.461762 loss_dfl: 0.413275 loss: 1.796957 eta: 12:33:32 batch_cost: 0.5458 data_cost: 0.0003 ips: 73.2896 images/s
[07/28 23:04:13] ppdet.engine INFO: Epoch: [238] [440/732] learning_rate: 0.022162 loss_vfl: 0.909975 loss_bbox: 0.421341 loss_dfl: 0.399696 loss: 1.728445 eta: 12:33:09 batch_cost: 0.6001 data_cost: 0.0003 ips: 66.6540 images/s
[07/28 23:04:27] ppdet.engine INFO: Epoch: [238] [460/732] learning_rate: 0.022151 loss_vfl: 0.931719 loss_bbox: 0.456846 loss_dfl: 0.411539 loss: 1.804604 eta: 12:32:47 batch_cost: 0.5435 data_cost: 0.0003 ips: 73.5941 images/s
[07/28 23:04:42] ppdet.engine INFO: Epoch: [238] [480/732] learning_rate: 0.022141 loss_vfl: 0.928755 loss_bbox: 0.449317 loss_dfl: 0.419045 loss: 1.796109 eta: 12:32:25 batch_cost: 0.6045 data_cost: 0.0003 ips: 66.1745 images/s
[07/28 23:04:57] ppdet.engine INFO: Epoch: [238] [500/732] learning_rate: 0.022130 loss_vfl: 0.961273 loss_bbox: 0.474414 loss_dfl: 0.439880 loss: 1.875398 eta: 12:32:03 batch_cost: 0.6461 data_cost: 0.0014 ips: 61.9070 images/s
[07/28 23:05:13] ppdet.engine INFO: Epoch: [238] [520/732] learning_rate: 0.022119 loss_vfl: 0.936926 loss_bbox: 0.453655 loss_dfl: 0.427134 loss: 1.807882 eta: 12:31:40 batch_cost: 0.5928 data_cost: 0.0015 ips: 67.4819 images/s
[07/28 23:05:29] ppdet.engine INFO: Epoch: [238] [540/732] learning_rate: 0.022109 loss_vfl: 0.913527 loss_bbox: 0.452894 loss_dfl: 0.423374 loss: 1.789376 eta: 12:31:18 batch_cost: 0.6269 data_cost: 0.0004 ips: 63.8078 images/s
[07/28 23:05:44] ppdet.engine INFO: Epoch: [238] [560/732] learning_rate: 0.022098 loss_vfl: 0.881945 loss_bbox: 0.431185 loss_dfl: 0.405223 loss: 1.717313 eta: 12:30:56 batch_cost: 0.6435 data_cost: 0.0013 ips: 62.1566 images/s
[07/28 23:05:58] ppdet.engine INFO: Epoch: [238] [580/732] learning_rate: 0.022088 loss_vfl: 0.920385 loss_bbox: 0.431473 loss_dfl: 0.407429 loss: 1.790761 eta: 12:30:34 batch_cost: 0.5373 data_cost: 0.0003 ips: 74.4439 images/s
[07/28 23:06:13] ppdet.engine INFO: Epoch: [238] [600/732] learning_rate: 0.022077 loss_vfl: 0.965795 loss_bbox: 0.444174 loss_dfl: 0.427641 loss: 1.829884 eta: 12:30:12 batch_cost: 0.6385 data_cost: 0.0009 ips: 62.6493 images/s
[07/28 23:06:29] ppdet.engine INFO: Epoch: [238] [620/732] learning_rate: 0.022067 loss_vfl: 0.910299 loss_bbox: 0.440996 loss_dfl: 0.411982 loss: 1.778286 eta: 12:29:50 batch_cost: 0.6493 data_cost: 0.0003 ips: 61.6065 images/s
[07/28 23:06:43] ppdet.engine INFO: Epoch: [238] [640/732] learning_rate: 0.022056 loss_vfl: 0.895505 loss_bbox: 0.436853 loss_dfl: 0.402493 loss: 1.762967 eta: 12:29:28 batch_cost: 0.6063 data_cost: 0.0010 ips: 65.9714 images/s
[07/28 23:06:57] ppdet.engine INFO: Epoch: [238] [660/732] learning_rate: 0.022046 loss_vfl: 0.898826 loss_bbox: 0.437626 loss_dfl: 0.403565 loss: 1.736861 eta: 12:29:06 batch_cost: 0.5773 data_cost: 0.0003 ips: 69.2859 images/s
[07/28 23:07:12] ppdet.engine INFO: Epoch: [238] [680/732] learning_rate: 0.022035 loss_vfl: 0.878777 loss_bbox: 0.413709 loss_dfl: 0.402278 loss: 1.720850 eta: 12:28:44 batch_cost: 0.6283 data_cost: 0.0010 ips: 63.6620 images/s
[07/28 23:07:27] ppdet.engine INFO: Epoch: [238] [700/732] learning_rate: 0.022025 loss_vfl: 0.902814 loss_bbox: 0.421463 loss_dfl: 0.401031 loss: 1.713402 eta: 12:28:22 batch_cost: 0.6106 data_cost: 0.0003 ips: 65.5047 images/s
[07/28 23:07:42] ppdet.engine INFO: Epoch: [238] [720/732] learning_rate: 0.022014 loss_vfl: 0.939904 loss_bbox: 0.440139 loss_dfl: 0.419091 loss: 1.812324 eta: 12:27:59 batch_cost: 0.5951 data_cost: 0.0005 ips: 67.2122 images/s
[07/28 23:07:56] ppdet.engine INFO: Epoch: [239] [  0/732] learning_rate: 0.022008 loss_vfl: 0.930208 loss_bbox: 0.442358 loss_dfl: 0.423038 loss: 1.814501 eta: 12:27:47 batch_cost: 0.8046 data_cost: 0.2516 ips: 49.7171 images/s
[07/28 23:08:13] ppdet.engine INFO: Epoch: [239] [ 20/732] learning_rate: 0.021997 loss_vfl: 0.875216 loss_bbox: 0.422400 loss_dfl: 0.387719 loss: 1.678991 eta: 12:27:25 batch_cost: 0.6683 data_cost: 0.0003 ips: 59.8504 images/s
[07/28 23:08:27] ppdet.engine INFO: Epoch: [239] [ 40/732] learning_rate: 0.021987 loss_vfl: 0.942394 loss_bbox: 0.455262 loss_dfl: 0.428450 loss: 1.837103 eta: 12:27:03 batch_cost: 0.5785 data_cost: 0.0003 ips: 69.1440 images/s
[07/28 23:08:42] ppdet.engine INFO: Epoch: [239] [ 60/732] learning_rate: 0.021977 loss_vfl: 0.883355 loss_bbox: 0.436215 loss_dfl: 0.404337 loss: 1.727782 eta: 12:26:41 batch_cost: 0.5878 data_cost: 0.0003 ips: 68.0474 images/s
[07/28 23:08:57] ppdet.engine INFO: Epoch: [239] [ 80/732] learning_rate: 0.021966 loss_vfl: 0.915898 loss_bbox: 0.474686 loss_dfl: 0.417864 loss: 1.808448 eta: 12:26:19 batch_cost: 0.5737 data_cost: 0.0003 ips: 69.7235 images/s
[07/28 23:09:12] ppdet.engine INFO: Epoch: [239] [100/732] learning_rate: 0.021956 loss_vfl: 0.902595 loss_bbox: 0.458144 loss_dfl: 0.413337 loss: 1.764986 eta: 12:25:57 batch_cost: 0.6263 data_cost: 0.0014 ips: 63.8623 images/s
[07/28 23:09:27] ppdet.engine INFO: Epoch: [239] [120/732] learning_rate: 0.021945 loss_vfl: 0.861868 loss_bbox: 0.405104 loss_dfl: 0.384608 loss: 1.651842 eta: 12:25:34 batch_cost: 0.6006 data_cost: 0.0022 ips: 66.6053 images/s
[07/28 23:09:42] ppdet.engine INFO: Epoch: [239] [140/732] learning_rate: 0.021935 loss_vfl: 0.905936 loss_bbox: 0.441082 loss_dfl: 0.403974 loss: 1.731872 eta: 12:25:12 batch_cost: 0.6346 data_cost: 0.0003 ips: 63.0318 images/s
[07/28 23:09:57] ppdet.engine INFO: Epoch: [239] [160/732] learning_rate: 0.021924 loss_vfl: 0.930294 loss_bbox: 0.442439 loss_dfl: 0.412901 loss: 1.778324 eta: 12:24:50 batch_cost: 0.6032 data_cost: 0.0003 ips: 66.3157 images/s
[07/28 23:10:13] ppdet.engine INFO: Epoch: [239] [180/732] learning_rate: 0.021914 loss_vfl: 0.946525 loss_bbox: 0.453891 loss_dfl: 0.421709 loss: 1.843202 eta: 12:24:28 batch_cost: 0.6255 data_cost: 0.0003 ips: 63.9452 images/s
[07/28 23:10:28] ppdet.engine INFO: Epoch: [239] [200/732] learning_rate: 0.021904 loss_vfl: 0.936785 loss_bbox: 0.444626 loss_dfl: 0.415447 loss: 1.788030 eta: 12:24:06 batch_cost: 0.6213 data_cost: 0.0003 ips: 64.3814 images/s
[07/28 23:10:43] ppdet.engine INFO: Epoch: [239] [220/732] learning_rate: 0.021893 loss_vfl: 0.880429 loss_bbox: 0.414396 loss_dfl: 0.398257 loss: 1.711499 eta: 12:23:44 batch_cost: 0.6209 data_cost: 0.0003 ips: 64.4243 images/s
[07/28 23:10:58] ppdet.engine INFO: Epoch: [239] [240/732] learning_rate: 0.021883 loss_vfl: 0.904873 loss_bbox: 0.438560 loss_dfl: 0.411032 loss: 1.761220 eta: 12:23:22 batch_cost: 0.6388 data_cost: 0.0010 ips: 62.6155 images/s
[07/28 23:11:13] ppdet.engine INFO: Epoch: [239] [260/732] learning_rate: 0.021873 loss_vfl: 0.926545 loss_bbox: 0.460021 loss_dfl: 0.419097 loss: 1.815008 eta: 12:23:00 batch_cost: 0.6173 data_cost: 0.0013 ips: 64.8007 images/s
[07/28 23:11:28] ppdet.engine INFO: Epoch: [239] [280/732] learning_rate: 0.021862 loss_vfl: 0.889222 loss_bbox: 0.435564 loss_dfl: 0.404626 loss: 1.716357 eta: 12:22:38 batch_cost: 0.6217 data_cost: 0.0003 ips: 64.3379 images/s
[07/28 23:11:43] ppdet.engine INFO: Epoch: [239] [300/732] learning_rate: 0.021852 loss_vfl: 0.922327 loss_bbox: 0.442394 loss_dfl: 0.416151 loss: 1.780562 eta: 12:22:16 batch_cost: 0.6217 data_cost: 0.0003 ips: 64.3401 images/s
[07/28 23:11:59] ppdet.engine INFO: Epoch: [239] [320/732] learning_rate: 0.021842 loss_vfl: 0.921929 loss_bbox: 0.435324 loss_dfl: 0.398362 loss: 1.754543 eta: 12:21:54 batch_cost: 0.6229 data_cost: 0.0003 ips: 64.2162 images/s
[07/28 23:12:15] ppdet.engine INFO: Epoch: [239] [340/732] learning_rate: 0.021831 loss_vfl: 0.842836 loss_bbox: 0.418850 loss_dfl: 0.388608 loss: 1.661344 eta: 12:21:33 batch_cost: 0.6972 data_cost: 0.0010 ips: 57.3715 images/s
[07/28 23:12:31] ppdet.engine INFO: Epoch: [239] [360/732] learning_rate: 0.021821 loss_vfl: 0.897091 loss_bbox: 0.455520 loss_dfl: 0.417999 loss: 1.762822 eta: 12:21:11 batch_cost: 0.6897 data_cost: 0.0008 ips: 57.9942 images/s
[07/28 23:12:46] ppdet.engine INFO: Epoch: [239] [380/732] learning_rate: 0.021811 loss_vfl: 0.900938 loss_bbox: 0.441007 loss_dfl: 0.410248 loss: 1.754766 eta: 12:20:49 batch_cost: 0.6085 data_cost: 0.0003 ips: 65.7338 images/s
[07/28 23:13:02] ppdet.engine INFO: Epoch: [239] [400/732] learning_rate: 0.021800 loss_vfl: 0.880225 loss_bbox: 0.433559 loss_dfl: 0.396139 loss: 1.727748 eta: 12:20:27 batch_cost: 0.6923 data_cost: 0.0003 ips: 57.7792 images/s
[07/28 23:13:19] ppdet.engine INFO: Epoch: [239] [420/732] learning_rate: 0.021790 loss_vfl: 0.861563 loss_bbox: 0.417433 loss_dfl: 0.390936 loss: 1.664977 eta: 12:20:05 batch_cost: 0.6874 data_cost: 0.0003 ips: 58.1931 images/s
[07/28 23:13:32] ppdet.engine INFO: Epoch: [239] [440/732] learning_rate: 0.021780 loss_vfl: 0.878297 loss_bbox: 0.432183 loss_dfl: 0.403812 loss: 1.718114 eta: 12:19:43 batch_cost: 0.5696 data_cost: 0.0003 ips: 70.2249 images/s
[07/28 23:13:47] ppdet.engine INFO: Epoch: [239] [460/732] learning_rate: 0.021769 loss_vfl: 0.916975 loss_bbox: 0.438293 loss_dfl: 0.413993 loss: 1.774352 eta: 12:19:21 batch_cost: 0.5789 data_cost: 0.0013 ips: 69.0954 images/s
[07/28 23:14:02] ppdet.engine INFO: Epoch: [239] [480/732] learning_rate: 0.021759 loss_vfl: 0.922520 loss_bbox: 0.450485 loss_dfl: 0.415668 loss: 1.797848 eta: 12:18:59 batch_cost: 0.6151 data_cost: 0.0015 ips: 65.0282 images/s
[07/28 23:14:16] ppdet.engine INFO: Epoch: [239] [500/732] learning_rate: 0.021749 loss_vfl: 0.871580 loss_bbox: 0.427703 loss_dfl: 0.400488 loss: 1.717631 eta: 12:18:37 batch_cost: 0.5801 data_cost: 0.0015 ips: 68.9518 images/s
[07/28 23:14:31] ppdet.engine INFO: Epoch: [239] [520/732] learning_rate: 0.021739 loss_vfl: 0.893989 loss_bbox: 0.422916 loss_dfl: 0.398591 loss: 1.742145 eta: 12:18:15 batch_cost: 0.6013 data_cost: 0.0029 ips: 66.5276 images/s
[07/28 23:14:46] ppdet.engine INFO: Epoch: [239] [540/732] learning_rate: 0.021728 loss_vfl: 0.901363 loss_bbox: 0.419665 loss_dfl: 0.401993 loss: 1.702285 eta: 12:17:53 batch_cost: 0.6238 data_cost: 0.0003 ips: 64.1255 images/s
[07/28 23:15:01] ppdet.engine INFO: Epoch: [239] [560/732] learning_rate: 0.021718 loss_vfl: 0.871760 loss_bbox: 0.409186 loss_dfl: 0.392677 loss: 1.675680 eta: 12:17:31 batch_cost: 0.6035 data_cost: 0.0013 ips: 66.2766 images/s
[07/28 23:15:15] ppdet.engine INFO: Epoch: [239] [580/732] learning_rate: 0.021708 loss_vfl: 0.955040 loss_bbox: 0.441644 loss_dfl: 0.414576 loss: 1.794345 eta: 12:17:08 batch_cost: 0.5733 data_cost: 0.0003 ips: 69.7759 images/s
[07/28 23:15:31] ppdet.engine INFO: Epoch: [239] [600/732] learning_rate: 0.021698 loss_vfl: 0.896840 loss_bbox: 0.438177 loss_dfl: 0.415493 loss: 1.769760 eta: 12:16:46 batch_cost: 0.6381 data_cost: 0.0037 ips: 62.6905 images/s
[07/28 23:15:46] ppdet.engine INFO: Epoch: [239] [620/732] learning_rate: 0.021688 loss_vfl: 0.939929 loss_bbox: 0.450756 loss_dfl: 0.409440 loss: 1.804917 eta: 12:16:24 batch_cost: 0.6076 data_cost: 0.0003 ips: 65.8376 images/s
[07/28 23:16:00] ppdet.engine INFO: Epoch: [239] [640/732] learning_rate: 0.021677 loss_vfl: 0.882817 loss_bbox: 0.449851 loss_dfl: 0.401349 loss: 1.721796 eta: 12:16:02 batch_cost: 0.5951 data_cost: 0.0009 ips: 67.2174 images/s
[07/28 23:16:16] ppdet.engine INFO: Epoch: [239] [660/732] learning_rate: 0.021667 loss_vfl: 0.893221 loss_bbox: 0.426574 loss_dfl: 0.403264 loss: 1.723722 eta: 12:15:40 batch_cost: 0.6088 data_cost: 0.0010 ips: 65.7019 images/s
[07/28 23:16:32] ppdet.engine INFO: Epoch: [239] [680/732] learning_rate: 0.021657 loss_vfl: 0.903626 loss_bbox: 0.421774 loss_dfl: 0.391465 loss: 1.728017 eta: 12:15:18 batch_cost: 0.6366 data_cost: 0.0012 ips: 62.8321 images/s
[07/28 23:16:46] ppdet.engine INFO: Epoch: [239] [700/732] learning_rate: 0.021647 loss_vfl: 0.913920 loss_bbox: 0.454022 loss_dfl: 0.414914 loss: 1.791250 eta: 12:14:56 batch_cost: 0.5792 data_cost: 0.0003 ips: 69.0661 images/s
[07/28 23:17:01] ppdet.engine INFO: Epoch: [239] [720/732] learning_rate: 0.021637 loss_vfl: 0.892367 loss_bbox: 0.455677 loss_dfl: 0.414048 loss: 1.744883 eta: 12:14:34 batch_cost: 0.6084 data_cost: 0.0004 ips: 65.7482 images/s
[07/28 23:17:08] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 23:17:08] ppdet.engine INFO: Eval iter: 0
[07/28 23:17:22] ppdet.engine INFO: Eval iter: 100
[07/28 23:17:31] ppdet.engine INFO: Eval iter: 200
[07/28 23:17:39] ppdet.engine INFO: Eval iter: 300
[07/28 23:17:47] ppdet.engine INFO: Eval iter: 400
[07/28 23:17:55] ppdet.engine INFO: Eval iter: 500
[07/28 23:18:04] ppdet.engine INFO: Eval iter: 600
[07/28 23:18:20] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.95s)
creating index...
index created!
[07/28 23:18:21] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.79s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.77s).
Accumulating evaluation results...
DONE (t=18.36s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.298
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.439
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.318
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.109
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.317
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.461
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.273
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.448
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.478
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.216
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.534
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.710
[07/28 23:20:27] ppdet.engine INFO: Total sample number: 4952, averge FPS: 84.03846420469168
[07/28 23:20:27] ppdet.engine INFO: Best test bbox ap is 0.298.
[07/28 23:20:27] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/28 23:20:28] ppdet.engine INFO: Epoch: [240] [  0/732] learning_rate: 0.021631 loss_vfl: 0.902133 loss_bbox: 0.459576 loss_dfl: 0.417317 loss: 1.771546 eta: 12:14:20 batch_cost: 0.4926 data_cost: 0.0003 ips: 81.1961 images/s
[07/28 23:20:43] ppdet.engine INFO: Epoch: [240] [ 20/732] learning_rate: 0.021620 loss_vfl: 0.881752 loss_bbox: 0.435754 loss_dfl: 0.402094 loss: 1.716382 eta: 12:13:58 batch_cost: 0.6264 data_cost: 0.0003 ips: 63.8524 images/s
[07/28 23:20:57] ppdet.engine INFO: Epoch: [240] [ 40/732] learning_rate: 0.021610 loss_vfl: 0.929641 loss_bbox: 0.465153 loss_dfl: 0.424714 loss: 1.816207 eta: 12:13:36 batch_cost: 0.6068 data_cost: 0.0004 ips: 65.9194 images/s
[07/28 23:21:12] ppdet.engine INFO: Epoch: [240] [ 60/732] learning_rate: 0.021600 loss_vfl: 0.931539 loss_bbox: 0.448512 loss_dfl: 0.405682 loss: 1.752837 eta: 12:13:14 batch_cost: 0.6116 data_cost: 0.0004 ips: 65.4017 images/s
[07/28 23:21:28] ppdet.engine INFO: Epoch: [240] [ 80/732] learning_rate: 0.021590 loss_vfl: 0.873463 loss_bbox: 0.414513 loss_dfl: 0.395355 loss: 1.696467 eta: 12:12:52 batch_cost: 0.6397 data_cost: 0.0003 ips: 62.5277 images/s
[07/28 23:21:42] ppdet.engine INFO: Epoch: [240] [100/732] learning_rate: 0.021580 loss_vfl: 0.873118 loss_bbox: 0.440102 loss_dfl: 0.391740 loss: 1.678336 eta: 12:12:30 batch_cost: 0.6035 data_cost: 0.0003 ips: 66.2835 images/s
[07/28 23:21:57] ppdet.engine INFO: Epoch: [240] [120/732] learning_rate: 0.021570 loss_vfl: 0.853273 loss_bbox: 0.427088 loss_dfl: 0.392848 loss: 1.665717 eta: 12:12:08 batch_cost: 0.6051 data_cost: 0.0003 ips: 66.1061 images/s
[07/28 23:22:12] ppdet.engine INFO: Epoch: [240] [140/732] learning_rate: 0.021560 loss_vfl: 0.843698 loss_bbox: 0.424289 loss_dfl: 0.386871 loss: 1.624126 eta: 12:11:46 batch_cost: 0.6125 data_cost: 0.0017 ips: 65.3027 images/s
[07/28 23:22:27] ppdet.engine INFO: Epoch: [240] [160/732] learning_rate: 0.021550 loss_vfl: 0.937493 loss_bbox: 0.434317 loss_dfl: 0.409690 loss: 1.791041 eta: 12:11:24 batch_cost: 0.5975 data_cost: 0.0004 ips: 66.9441 images/s
[07/28 23:22:43] ppdet.engine INFO: Epoch: [240] [180/732] learning_rate: 0.021540 loss_vfl: 0.873652 loss_bbox: 0.449780 loss_dfl: 0.412962 loss: 1.752041 eta: 12:11:02 batch_cost: 0.6575 data_cost: 0.0006 ips: 60.8339 images/s
[07/28 23:22:59] ppdet.engine INFO: Epoch: [240] [200/732] learning_rate: 0.021529 loss_vfl: 0.887707 loss_bbox: 0.423050 loss_dfl: 0.400353 loss: 1.720996 eta: 12:10:40 batch_cost: 0.6268 data_cost: 0.0003 ips: 63.8174 images/s
[07/28 23:23:14] ppdet.engine INFO: Epoch: [240] [220/732] learning_rate: 0.021519 loss_vfl: 0.947930 loss_bbox: 0.447348 loss_dfl: 0.422655 loss: 1.806207 eta: 12:10:19 batch_cost: 0.6662 data_cost: 0.0004 ips: 60.0407 images/s
[07/28 23:23:29] ppdet.engine INFO: Epoch: [240] [240/732] learning_rate: 0.021509 loss_vfl: 0.880703 loss_bbox: 0.423260 loss_dfl: 0.395896 loss: 1.701300 eta: 12:09:57 batch_cost: 0.5794 data_cost: 0.0004 ips: 69.0340 images/s
[07/28 23:23:44] ppdet.engine INFO: Epoch: [240] [260/732] learning_rate: 0.021499 loss_vfl: 0.909850 loss_bbox: 0.449149 loss_dfl: 0.415873 loss: 1.773382 eta: 12:09:34 batch_cost: 0.5956 data_cost: 0.0025 ips: 67.1583 images/s
[07/28 23:23:58] ppdet.engine INFO: Epoch: [240] [280/732] learning_rate: 0.021489 loss_vfl: 0.942011 loss_bbox: 0.451879 loss_dfl: 0.422325 loss: 1.829974 eta: 12:09:12 batch_cost: 0.5839 data_cost: 0.0010 ips: 68.5002 images/s
[07/28 23:24:13] ppdet.engine INFO: Epoch: [240] [300/732] learning_rate: 0.021479 loss_vfl: 0.883698 loss_bbox: 0.418188 loss_dfl: 0.384196 loss: 1.681113 eta: 12:08:50 batch_cost: 0.6020 data_cost: 0.0003 ips: 66.4399 images/s
[07/28 23:24:29] ppdet.engine INFO: Epoch: [240] [320/732] learning_rate: 0.021469 loss_vfl: 0.865994 loss_bbox: 0.417171 loss_dfl: 0.385602 loss: 1.679451 eta: 12:08:28 batch_cost: 0.6171 data_cost: 0.0003 ips: 64.8152 images/s
[07/28 23:24:44] ppdet.engine INFO: Epoch: [240] [340/732] learning_rate: 0.021459 loss_vfl: 0.895131 loss_bbox: 0.421565 loss_dfl: 0.396705 loss: 1.707363 eta: 12:08:06 batch_cost: 0.6292 data_cost: 0.0010 ips: 63.5761 images/s
[07/28 23:24:58] ppdet.engine INFO: Epoch: [240] [360/732] learning_rate: 0.021449 loss_vfl: 0.890019 loss_bbox: 0.439170 loss_dfl: 0.401561 loss: 1.726948 eta: 12:07:44 batch_cost: 0.5977 data_cost: 0.0010 ips: 66.9207 images/s
[07/28 23:25:13] ppdet.engine INFO: Epoch: [240] [380/732] learning_rate: 0.021439 loss_vfl: 0.903602 loss_bbox: 0.445538 loss_dfl: 0.413357 loss: 1.777871 eta: 12:07:22 batch_cost: 0.5810 data_cost: 0.0003 ips: 68.8501 images/s
[07/28 23:25:28] ppdet.engine INFO: Epoch: [240] [400/732] learning_rate: 0.021429 loss_vfl: 0.953886 loss_bbox: 0.484822 loss_dfl: 0.444795 loss: 1.884625 eta: 12:07:00 batch_cost: 0.5804 data_cost: 0.0003 ips: 68.9211 images/s
[07/28 23:25:43] ppdet.engine INFO: Epoch: [240] [420/732] learning_rate: 0.021419 loss_vfl: 0.876209 loss_bbox: 0.411752 loss_dfl: 0.385155 loss: 1.673814 eta: 12:06:38 batch_cost: 0.5559 data_cost: 0.0029 ips: 71.9522 images/s
[07/28 23:25:57] ppdet.engine INFO: Epoch: [240] [440/732] learning_rate: 0.021409 loss_vfl: 0.898548 loss_bbox: 0.432974 loss_dfl: 0.410103 loss: 1.738964 eta: 12:06:16 batch_cost: 0.5808 data_cost: 0.0003 ips: 68.8735 images/s
[07/28 23:26:13] ppdet.engine INFO: Epoch: [240] [460/732] learning_rate: 0.021399 loss_vfl: 0.908267 loss_bbox: 0.444196 loss_dfl: 0.412694 loss: 1.766217 eta: 12:05:54 batch_cost: 0.6612 data_cost: 0.0003 ips: 60.4937 images/s
[07/28 23:26:28] ppdet.engine INFO: Epoch: [240] [480/732] learning_rate: 0.021389 loss_vfl: 0.858269 loss_bbox: 0.414126 loss_dfl: 0.384270 loss: 1.650862 eta: 12:05:32 batch_cost: 0.6118 data_cost: 0.0003 ips: 65.3798 images/s
[07/28 23:26:42] ppdet.engine INFO: Epoch: [240] [500/732] learning_rate: 0.021380 loss_vfl: 0.851931 loss_bbox: 0.414289 loss_dfl: 0.387787 loss: 1.665638 eta: 12:05:10 batch_cost: 0.5981 data_cost: 0.0003 ips: 66.8747 images/s
[07/28 23:26:57] ppdet.engine INFO: Epoch: [240] [520/732] learning_rate: 0.021370 loss_vfl: 0.838803 loss_bbox: 0.416139 loss_dfl: 0.384226 loss: 1.624787 eta: 12:04:48 batch_cost: 0.6051 data_cost: 0.0009 ips: 66.1059 images/s
[07/28 23:27:11] ppdet.engine INFO: Epoch: [240] [540/732] learning_rate: 0.021360 loss_vfl: 0.890152 loss_bbox: 0.413808 loss_dfl: 0.396226 loss: 1.704441 eta: 12:04:26 batch_cost: 0.5540 data_cost: 0.0003 ips: 72.1960 images/s
[07/28 23:27:27] ppdet.engine INFO: Epoch: [240] [560/732] learning_rate: 0.021350 loss_vfl: 0.884436 loss_bbox: 0.423040 loss_dfl: 0.395062 loss: 1.686008 eta: 12:04:04 batch_cost: 0.5985 data_cost: 0.0004 ips: 66.8381 images/s
[07/28 23:27:41] ppdet.engine INFO: Epoch: [240] [580/732] learning_rate: 0.021340 loss_vfl: 0.913898 loss_bbox: 0.450123 loss_dfl: 0.411363 loss: 1.750510 eta: 12:03:42 batch_cost: 0.5812 data_cost: 0.0010 ips: 68.8229 images/s
[07/28 23:27:55] ppdet.engine INFO: Epoch: [240] [600/732] learning_rate: 0.021330 loss_vfl: 0.883038 loss_bbox: 0.449657 loss_dfl: 0.403270 loss: 1.735496 eta: 12:03:20 batch_cost: 0.5921 data_cost: 0.0003 ips: 67.5509 images/s
[07/28 23:28:09] ppdet.engine INFO: Epoch: [240] [620/732] learning_rate: 0.021320 loss_vfl: 0.920177 loss_bbox: 0.439163 loss_dfl: 0.404038 loss: 1.762995 eta: 12:02:58 batch_cost: 0.5845 data_cost: 0.0004 ips: 68.4371 images/s
[07/28 23:28:25] ppdet.engine INFO: Epoch: [240] [640/732] learning_rate: 0.021310 loss_vfl: 0.894990 loss_bbox: 0.451593 loss_dfl: 0.409711 loss: 1.740613 eta: 12:02:36 batch_cost: 0.6357 data_cost: 0.0004 ips: 62.9257 images/s
[07/28 23:28:40] ppdet.engine INFO: Epoch: [240] [660/732] learning_rate: 0.021300 loss_vfl: 0.900719 loss_bbox: 0.454918 loss_dfl: 0.407325 loss: 1.765959 eta: 12:02:14 batch_cost: 0.6384 data_cost: 0.0009 ips: 62.6601 images/s
[07/28 23:28:54] ppdet.engine INFO: Epoch: [240] [680/732] learning_rate: 0.021291 loss_vfl: 0.919108 loss_bbox: 0.452305 loss_dfl: 0.413339 loss: 1.778988 eta: 12:01:52 batch_cost: 0.5735 data_cost: 0.0003 ips: 69.7527 images/s
[07/28 23:29:10] ppdet.engine INFO: Epoch: [240] [700/732] learning_rate: 0.021281 loss_vfl: 0.917227 loss_bbox: 0.444575 loss_dfl: 0.417216 loss: 1.750869 eta: 12:01:30 batch_cost: 0.6044 data_cost: 0.0011 ips: 66.1763 images/s
[07/28 23:29:25] ppdet.engine INFO: Epoch: [240] [720/732] learning_rate: 0.021271 loss_vfl: 0.883047 loss_bbox: 0.425055 loss_dfl: 0.397567 loss: 1.679829 eta: 12:01:08 batch_cost: 0.6604 data_cost: 0.0004 ips: 60.5701 images/s
[07/28 23:29:39] ppdet.engine INFO: Epoch: [241] [  0/732] learning_rate: 0.021265 loss_vfl: 0.884322 loss_bbox: 0.418579 loss_dfl: 0.390885 loss: 1.679829 eta: 12:00:56 batch_cost: 0.8353 data_cost: 0.2409 ips: 47.8892 images/s
[07/28 23:29:56] ppdet.engine INFO: Epoch: [241] [ 20/732] learning_rate: 0.021255 loss_vfl: 0.873226 loss_bbox: 0.444775 loss_dfl: 0.396037 loss: 1.710060 eta: 12:00:34 batch_cost: 0.6786 data_cost: 0.0004 ips: 58.9466 images/s
[07/28 23:30:12] ppdet.engine INFO: Epoch: [241] [ 40/732] learning_rate: 0.021245 loss_vfl: 0.875926 loss_bbox: 0.436778 loss_dfl: 0.397715 loss: 1.718936 eta: 12:00:13 batch_cost: 0.6573 data_cost: 0.0008 ips: 60.8511 images/s
[07/28 23:30:26] ppdet.engine INFO: Epoch: [241] [ 60/732] learning_rate: 0.021236 loss_vfl: 0.898758 loss_bbox: 0.455441 loss_dfl: 0.406177 loss: 1.754943 eta: 11:59:50 batch_cost: 0.5351 data_cost: 0.0006 ips: 74.7501 images/s
[07/28 23:30:42] ppdet.engine INFO: Epoch: [241] [ 80/732] learning_rate: 0.021226 loss_vfl: 0.860180 loss_bbox: 0.418086 loss_dfl: 0.385843 loss: 1.651364 eta: 11:59:29 batch_cost: 0.6589 data_cost: 0.0005 ips: 60.7047 images/s
[07/28 23:30:57] ppdet.engine INFO: Epoch: [241] [100/732] learning_rate: 0.021216 loss_vfl: 0.845017 loss_bbox: 0.412163 loss_dfl: 0.387104 loss: 1.643555 eta: 11:59:07 batch_cost: 0.6113 data_cost: 0.0011 ips: 65.4347 images/s
[07/28 23:31:15] ppdet.engine INFO: Epoch: [241] [120/732] learning_rate: 0.021206 loss_vfl: 0.934561 loss_bbox: 0.444703 loss_dfl: 0.426007 loss: 1.809732 eta: 11:58:45 batch_cost: 0.7472 data_cost: 0.0004 ips: 53.5341 images/s
[07/28 23:31:31] ppdet.engine INFO: Epoch: [241] [140/732] learning_rate: 0.021196 loss_vfl: 0.946179 loss_bbox: 0.469121 loss_dfl: 0.427733 loss: 1.838284 eta: 11:58:24 batch_cost: 0.6705 data_cost: 0.0004 ips: 59.6552 images/s
[07/28 23:31:46] ppdet.engine INFO: Epoch: [241] [160/732] learning_rate: 0.021187 loss_vfl: 0.914288 loss_bbox: 0.453945 loss_dfl: 0.431652 loss: 1.793502 eta: 11:58:02 batch_cost: 0.6072 data_cost: 0.0003 ips: 65.8753 images/s
[07/28 23:32:01] ppdet.engine INFO: Epoch: [241] [180/732] learning_rate: 0.021177 loss_vfl: 0.916287 loss_bbox: 0.459318 loss_dfl: 0.406885 loss: 1.777530 eta: 11:57:40 batch_cost: 0.5994 data_cost: 0.0009 ips: 66.7323 images/s
[07/28 23:32:15] ppdet.engine INFO: Epoch: [241] [200/732] learning_rate: 0.021167 loss_vfl: 0.909230 loss_bbox: 0.458074 loss_dfl: 0.418886 loss: 1.792539 eta: 11:57:18 batch_cost: 0.5817 data_cost: 0.0003 ips: 68.7672 images/s
[07/28 23:32:30] ppdet.engine INFO: Epoch: [241] [220/732] learning_rate: 0.021157 loss_vfl: 0.973094 loss_bbox: 0.470556 loss_dfl: 0.440951 loss: 1.863335 eta: 11:56:56 batch_cost: 0.6128 data_cost: 0.0003 ips: 65.2760 images/s
[07/28 23:32:46] ppdet.engine INFO: Epoch: [241] [240/732] learning_rate: 0.021148 loss_vfl: 0.886339 loss_bbox: 0.447321 loss_dfl: 0.400688 loss: 1.729957 eta: 11:56:34 batch_cost: 0.6686 data_cost: 0.0003 ips: 59.8230 images/s
[07/28 23:33:01] ppdet.engine INFO: Epoch: [241] [260/732] learning_rate: 0.021138 loss_vfl: 0.904657 loss_bbox: 0.440584 loss_dfl: 0.404397 loss: 1.734849 eta: 11:56:12 batch_cost: 0.6211 data_cost: 0.0003 ips: 64.4066 images/s
[07/28 23:33:16] ppdet.engine INFO: Epoch: [241] [280/732] learning_rate: 0.021128 loss_vfl: 0.920528 loss_bbox: 0.456277 loss_dfl: 0.422392 loss: 1.802054 eta: 11:55:50 batch_cost: 0.5798 data_cost: 0.0005 ips: 68.9855 images/s
[07/28 23:33:30] ppdet.engine INFO: Epoch: [241] [300/732] learning_rate: 0.021119 loss_vfl: 0.888399 loss_bbox: 0.422793 loss_dfl: 0.394391 loss: 1.691132 eta: 11:55:28 batch_cost: 0.5444 data_cost: 0.0003 ips: 73.4758 images/s
[07/28 23:33:44] ppdet.engine INFO: Epoch: [241] [320/732] learning_rate: 0.021109 loss_vfl: 0.930901 loss_bbox: 0.456067 loss_dfl: 0.419097 loss: 1.813124 eta: 11:55:06 batch_cost: 0.6006 data_cost: 0.0003 ips: 66.5985 images/s
[07/28 23:33:59] ppdet.engine INFO: Epoch: [241] [340/732] learning_rate: 0.021099 loss_vfl: 0.949030 loss_bbox: 0.481156 loss_dfl: 0.443269 loss: 1.857036 eta: 11:54:44 batch_cost: 0.5982 data_cost: 0.0003 ips: 66.8716 images/s
[07/28 23:34:15] ppdet.engine INFO: Epoch: [241] [360/732] learning_rate: 0.021090 loss_vfl: 0.913854 loss_bbox: 0.445813 loss_dfl: 0.413782 loss: 1.772451 eta: 11:54:22 batch_cost: 0.5954 data_cost: 0.0010 ips: 67.1791 images/s
[07/28 23:34:30] ppdet.engine INFO: Epoch: [241] [380/732] learning_rate: 0.021080 loss_vfl: 0.932652 loss_bbox: 0.457164 loss_dfl: 0.412235 loss: 1.803427 eta: 11:54:00 batch_cost: 0.6291 data_cost: 0.0009 ips: 63.5852 images/s
[07/28 23:34:44] ppdet.engine INFO: Epoch: [241] [400/732] learning_rate: 0.021070 loss_vfl: 0.896729 loss_bbox: 0.445424 loss_dfl: 0.416009 loss: 1.766096 eta: 11:53:38 batch_cost: 0.5735 data_cost: 0.0016 ips: 69.7491 images/s
[07/28 23:34:58] ppdet.engine INFO: Epoch: [241] [420/732] learning_rate: 0.021061 loss_vfl: 0.983905 loss_bbox: 0.478544 loss_dfl: 0.434091 loss: 1.855459 eta: 11:53:16 batch_cost: 0.5779 data_cost: 0.0014 ips: 69.2171 images/s
[07/28 23:35:14] ppdet.engine INFO: Epoch: [241] [440/732] learning_rate: 0.021051 loss_vfl: 0.881252 loss_bbox: 0.441765 loss_dfl: 0.396679 loss: 1.720477 eta: 11:52:54 batch_cost: 0.6072 data_cost: 0.0010 ips: 65.8770 images/s
[07/28 23:35:29] ppdet.engine INFO: Epoch: [241] [460/732] learning_rate: 0.021041 loss_vfl: 0.887338 loss_bbox: 0.435913 loss_dfl: 0.394757 loss: 1.720811 eta: 11:52:32 batch_cost: 0.6121 data_cost: 0.0004 ips: 65.3526 images/s
[07/28 23:35:43] ppdet.engine INFO: Epoch: [241] [480/732] learning_rate: 0.021032 loss_vfl: 0.912634 loss_bbox: 0.461117 loss_dfl: 0.418441 loss: 1.810127 eta: 11:52:10 batch_cost: 0.5935 data_cost: 0.0003 ips: 67.3931 images/s
[07/28 23:35:58] ppdet.engine INFO: Epoch: [241] [500/732] learning_rate: 0.021022 loss_vfl: 0.919234 loss_bbox: 0.446224 loss_dfl: 0.414574 loss: 1.784623 eta: 11:51:48 batch_cost: 0.5769 data_cost: 0.0003 ips: 69.3398 images/s
[07/28 23:36:13] ppdet.engine INFO: Epoch: [241] [520/732] learning_rate: 0.021013 loss_vfl: 0.875711 loss_bbox: 0.409413 loss_dfl: 0.390620 loss: 1.673449 eta: 11:51:27 batch_cost: 0.6352 data_cost: 0.0003 ips: 62.9767 images/s
[07/28 23:36:28] ppdet.engine INFO: Epoch: [241] [540/732] learning_rate: 0.021003 loss_vfl: 0.908082 loss_bbox: 0.439517 loss_dfl: 0.408020 loss: 1.770154 eta: 11:51:05 batch_cost: 0.6225 data_cost: 0.0003 ips: 64.2540 images/s
[07/28 23:36:42] ppdet.engine INFO: Epoch: [241] [560/732] learning_rate: 0.020993 loss_vfl: 0.880925 loss_bbox: 0.434234 loss_dfl: 0.402800 loss: 1.720088 eta: 11:50:43 batch_cost: 0.6106 data_cost: 0.0016 ips: 65.5123 images/s
[07/28 23:36:56] ppdet.engine INFO: Epoch: [241] [580/732] learning_rate: 0.020984 loss_vfl: 0.883294 loss_bbox: 0.423841 loss_dfl: 0.396724 loss: 1.713547 eta: 11:50:21 batch_cost: 0.5599 data_cost: 0.0010 ips: 71.4385 images/s
[07/28 23:37:10] ppdet.engine INFO: Epoch: [241] [600/732] learning_rate: 0.020974 loss_vfl: 0.883169 loss_bbox: 0.434314 loss_dfl: 0.402939 loss: 1.723724 eta: 11:49:59 batch_cost: 0.5674 data_cost: 0.0021 ips: 70.4963 images/s
[07/28 23:37:25] ppdet.engine INFO: Epoch: [241] [620/732] learning_rate: 0.020965 loss_vfl: 0.940925 loss_bbox: 0.450997 loss_dfl: 0.423976 loss: 1.848132 eta: 11:49:37 batch_cost: 0.6142 data_cost: 0.0017 ips: 65.1288 images/s
[07/28 23:37:40] ppdet.engine INFO: Epoch: [241] [640/732] learning_rate: 0.020955 loss_vfl: 0.885456 loss_bbox: 0.436898 loss_dfl: 0.402289 loss: 1.730860 eta: 11:49:15 batch_cost: 0.6135 data_cost: 0.0016 ips: 65.1949 images/s
[07/28 23:37:55] ppdet.engine INFO: Epoch: [241] [660/732] learning_rate: 0.020946 loss_vfl: 0.937607 loss_bbox: 0.462119 loss_dfl: 0.428140 loss: 1.799088 eta: 11:48:53 batch_cost: 0.6268 data_cost: 0.0010 ips: 63.8160 images/s
[07/28 23:38:10] ppdet.engine INFO: Epoch: [241] [680/732] learning_rate: 0.020936 loss_vfl: 0.899686 loss_bbox: 0.438090 loss_dfl: 0.407518 loss: 1.740817 eta: 11:48:31 batch_cost: 0.5916 data_cost: 0.0003 ips: 67.6099 images/s
[07/28 23:38:26] ppdet.engine INFO: Epoch: [241] [700/732] learning_rate: 0.020927 loss_vfl: 0.866668 loss_bbox: 0.434132 loss_dfl: 0.392735 loss: 1.668015 eta: 11:48:09 batch_cost: 0.6392 data_cost: 0.0003 ips: 62.5758 images/s
[07/28 23:38:41] ppdet.engine INFO: Epoch: [241] [720/732] learning_rate: 0.020917 loss_vfl: 0.930197 loss_bbox: 0.443402 loss_dfl: 0.406298 loss: 1.737250 eta: 11:47:48 batch_cost: 0.6299 data_cost: 0.0011 ips: 63.5009 images/s
[07/28 23:38:56] ppdet.engine INFO: Epoch: [242] [  0/732] learning_rate: 0.020911 loss_vfl: 0.943528 loss_bbox: 0.459856 loss_dfl: 0.419751 loss: 1.802715 eta: 11:47:36 batch_cost: 0.8578 data_cost: 0.2760 ips: 46.6300 images/s
[07/28 23:39:13] ppdet.engine INFO: Epoch: [242] [ 20/732] learning_rate: 0.020902 loss_vfl: 0.882178 loss_bbox: 0.421468 loss_dfl: 0.401156 loss: 1.698147 eta: 11:47:14 batch_cost: 0.6845 data_cost: 0.0010 ips: 58.4371 images/s
[07/28 23:39:28] ppdet.engine INFO: Epoch: [242] [ 40/732] learning_rate: 0.020892 loss_vfl: 0.927052 loss_bbox: 0.436716 loss_dfl: 0.413552 loss: 1.790514 eta: 11:46:52 batch_cost: 0.6470 data_cost: 0.0003 ips: 61.8207 images/s
[07/28 23:39:46] ppdet.engine INFO: Epoch: [242] [ 60/732] learning_rate: 0.020883 loss_vfl: 0.899144 loss_bbox: 0.446649 loss_dfl: 0.407976 loss: 1.766266 eta: 11:46:31 batch_cost: 0.7449 data_cost: 0.0003 ips: 53.6985 images/s
[07/28 23:40:01] ppdet.engine INFO: Epoch: [242] [ 80/732] learning_rate: 0.020873 loss_vfl: 0.884055 loss_bbox: 0.451036 loss_dfl: 0.404597 loss: 1.740199 eta: 11:46:09 batch_cost: 0.6277 data_cost: 0.0012 ips: 63.7255 images/s
[07/28 23:40:16] ppdet.engine INFO: Epoch: [242] [100/732] learning_rate: 0.020864 loss_vfl: 1.006129 loss_bbox: 0.487923 loss_dfl: 0.439087 loss: 1.948280 eta: 11:45:48 batch_cost: 0.6311 data_cost: 0.0003 ips: 63.3827 images/s
[07/28 23:40:32] ppdet.engine INFO: Epoch: [242] [120/732] learning_rate: 0.020855 loss_vfl: 0.915694 loss_bbox: 0.450001 loss_dfl: 0.412747 loss: 1.773695 eta: 11:45:26 batch_cost: 0.6478 data_cost: 0.0014 ips: 61.7477 images/s
[07/28 23:40:47] ppdet.engine INFO: Epoch: [242] [140/732] learning_rate: 0.020845 loss_vfl: 0.914501 loss_bbox: 0.434474 loss_dfl: 0.407490 loss: 1.745036 eta: 11:45:04 batch_cost: 0.6520 data_cost: 0.0007 ips: 61.3504 images/s
[07/28 23:41:02] ppdet.engine INFO: Epoch: [242] [160/732] learning_rate: 0.020836 loss_vfl: 0.822901 loss_bbox: 0.416912 loss_dfl: 0.373439 loss: 1.594677 eta: 11:44:43 batch_cost: 0.6467 data_cost: 0.0003 ips: 61.8522 images/s
[07/28 23:41:18] ppdet.engine INFO: Epoch: [242] [180/732] learning_rate: 0.020826 loss_vfl: 0.850241 loss_bbox: 0.417059 loss_dfl: 0.392749 loss: 1.652778 eta: 11:44:21 batch_cost: 0.6388 data_cost: 0.0003 ips: 62.6140 images/s
[07/28 23:41:33] ppdet.engine INFO: Epoch: [242] [200/732] learning_rate: 0.020817 loss_vfl: 0.884579 loss_bbox: 0.421084 loss_dfl: 0.399469 loss: 1.719001 eta: 11:43:59 batch_cost: 0.6379 data_cost: 0.0003 ips: 62.7081 images/s
[07/28 23:41:48] ppdet.engine INFO: Epoch: [242] [220/732] learning_rate: 0.020807 loss_vfl: 0.866839 loss_bbox: 0.437302 loss_dfl: 0.391505 loss: 1.695581 eta: 11:43:38 batch_cost: 0.6269 data_cost: 0.0003 ips: 63.8032 images/s
[07/28 23:42:04] ppdet.engine INFO: Epoch: [242] [240/732] learning_rate: 0.020798 loss_vfl: 0.905532 loss_bbox: 0.461037 loss_dfl: 0.415228 loss: 1.801558 eta: 11:43:16 batch_cost: 0.6508 data_cost: 0.0009 ips: 61.4657 images/s
[07/28 23:42:19] ppdet.engine INFO: Epoch: [242] [260/732] learning_rate: 0.020789 loss_vfl: 0.892219 loss_bbox: 0.445783 loss_dfl: 0.414447 loss: 1.754788 eta: 11:42:54 batch_cost: 0.6092 data_cost: 0.0003 ips: 65.6553 images/s
[07/28 23:42:34] ppdet.engine INFO: Epoch: [242] [280/732] learning_rate: 0.020779 loss_vfl: 0.948651 loss_bbox: 0.473244 loss_dfl: 0.431472 loss: 1.859185 eta: 11:42:32 batch_cost: 0.6243 data_cost: 0.0018 ips: 64.0752 images/s
[07/28 23:42:49] ppdet.engine INFO: Epoch: [242] [300/732] learning_rate: 0.020770 loss_vfl: 0.889933 loss_bbox: 0.437568 loss_dfl: 0.407062 loss: 1.761835 eta: 11:42:10 batch_cost: 0.6102 data_cost: 0.0003 ips: 65.5492 images/s
[07/28 23:43:04] ppdet.engine INFO: Epoch: [242] [320/732] learning_rate: 0.020761 loss_vfl: 0.935371 loss_bbox: 0.452666 loss_dfl: 0.419321 loss: 1.806566 eta: 11:41:49 batch_cost: 0.5961 data_cost: 0.0003 ips: 67.1044 images/s
[07/28 23:43:18] ppdet.engine INFO: Epoch: [242] [340/732] learning_rate: 0.020751 loss_vfl: 0.912567 loss_bbox: 0.458727 loss_dfl: 0.414579 loss: 1.806754 eta: 11:41:26 batch_cost: 0.5605 data_cost: 0.0020 ips: 71.3607 images/s
[07/28 23:43:32] ppdet.engine INFO: Epoch: [242] [360/732] learning_rate: 0.020742 loss_vfl: 0.905207 loss_bbox: 0.440197 loss_dfl: 0.398376 loss: 1.744531 eta: 11:41:05 batch_cost: 0.6104 data_cost: 0.0015 ips: 65.5260 images/s
[07/28 23:43:47] ppdet.engine INFO: Epoch: [242] [380/732] learning_rate: 0.020732 loss_vfl: 0.966982 loss_bbox: 0.470546 loss_dfl: 0.426728 loss: 1.842105 eta: 11:40:43 batch_cost: 0.5912 data_cost: 0.0003 ips: 67.6571 images/s
[07/28 23:44:02] ppdet.engine INFO: Epoch: [242] [400/732] learning_rate: 0.020723 loss_vfl: 0.922172 loss_bbox: 0.447822 loss_dfl: 0.403296 loss: 1.780191 eta: 11:40:21 batch_cost: 0.6162 data_cost: 0.0003 ips: 64.9148 images/s
[07/28 23:44:17] ppdet.engine INFO: Epoch: [242] [420/732] learning_rate: 0.020714 loss_vfl: 0.938906 loss_bbox: 0.453364 loss_dfl: 0.417274 loss: 1.808032 eta: 11:39:59 batch_cost: 0.6328 data_cost: 0.0003 ips: 63.2159 images/s
[07/28 23:44:31] ppdet.engine INFO: Epoch: [242] [440/732] learning_rate: 0.020705 loss_vfl: 0.909731 loss_bbox: 0.453542 loss_dfl: 0.409410 loss: 1.765242 eta: 11:39:37 batch_cost: 0.5777 data_cost: 0.0003 ips: 69.2369 images/s
[07/28 23:44:47] ppdet.engine INFO: Epoch: [242] [460/732] learning_rate: 0.020695 loss_vfl: 0.917136 loss_bbox: 0.475130 loss_dfl: 0.419462 loss: 1.802901 eta: 11:39:15 batch_cost: 0.6233 data_cost: 0.0003 ips: 64.1795 images/s
[07/28 23:45:03] ppdet.engine INFO: Epoch: [242] [480/732] learning_rate: 0.020686 loss_vfl: 0.899995 loss_bbox: 0.432060 loss_dfl: 0.397531 loss: 1.706091 eta: 11:38:54 batch_cost: 0.6731 data_cost: 0.0003 ips: 59.4223 images/s
[07/28 23:45:19] ppdet.engine INFO: Epoch: [242] [500/732] learning_rate: 0.020677 loss_vfl: 0.897557 loss_bbox: 0.434481 loss_dfl: 0.402704 loss: 1.709443 eta: 11:38:32 batch_cost: 0.6517 data_cost: 0.0023 ips: 61.3746 images/s
[07/28 23:45:35] ppdet.engine INFO: Epoch: [242] [520/732] learning_rate: 0.020667 loss_vfl: 0.931948 loss_bbox: 0.458076 loss_dfl: 0.422141 loss: 1.814132 eta: 11:38:11 batch_cost: 0.6596 data_cost: 0.0003 ips: 60.6469 images/s
[07/28 23:45:50] ppdet.engine INFO: Epoch: [242] [540/732] learning_rate: 0.020658 loss_vfl: 0.886884 loss_bbox: 0.427331 loss_dfl: 0.390550 loss: 1.702687 eta: 11:37:49 batch_cost: 0.6046 data_cost: 0.0003 ips: 66.1639 images/s
[07/28 23:46:05] ppdet.engine INFO: Epoch: [242] [560/732] learning_rate: 0.020649 loss_vfl: 0.904232 loss_bbox: 0.437502 loss_dfl: 0.396839 loss: 1.755645 eta: 11:37:27 batch_cost: 0.6350 data_cost: 0.0003 ips: 62.9924 images/s
[07/28 23:46:20] ppdet.engine INFO: Epoch: [242] [580/732] learning_rate: 0.020640 loss_vfl: 0.934010 loss_bbox: 0.449398 loss_dfl: 0.419386 loss: 1.846586 eta: 11:37:05 batch_cost: 0.6263 data_cost: 0.0003 ips: 63.8626 images/s
[07/28 23:46:35] ppdet.engine INFO: Epoch: [242] [600/732] learning_rate: 0.020630 loss_vfl: 0.933896 loss_bbox: 0.454635 loss_dfl: 0.418291 loss: 1.813518 eta: 11:36:44 batch_cost: 0.6187 data_cost: 0.0003 ips: 64.6534 images/s
[07/28 23:46:50] ppdet.engine INFO: Epoch: [242] [620/732] learning_rate: 0.020621 loss_vfl: 0.914606 loss_bbox: 0.457072 loss_dfl: 0.408716 loss: 1.772334 eta: 11:36:22 batch_cost: 0.5981 data_cost: 0.0003 ips: 66.8762 images/s
[07/28 23:47:05] ppdet.engine INFO: Epoch: [242] [640/732] learning_rate: 0.020612 loss_vfl: 0.915767 loss_bbox: 0.455479 loss_dfl: 0.413033 loss: 1.790030 eta: 11:36:00 batch_cost: 0.6278 data_cost: 0.0006 ips: 63.7160 images/s
[07/28 23:47:20] ppdet.engine INFO: Epoch: [242] [660/732] learning_rate: 0.020603 loss_vfl: 0.910483 loss_bbox: 0.447750 loss_dfl: 0.407353 loss: 1.769013 eta: 11:35:38 batch_cost: 0.5875 data_cost: 0.0009 ips: 68.0900 images/s
[07/28 23:47:34] ppdet.engine INFO: Epoch: [242] [680/732] learning_rate: 0.020594 loss_vfl: 0.877241 loss_bbox: 0.438651 loss_dfl: 0.400819 loss: 1.714217 eta: 11:35:16 batch_cost: 0.6278 data_cost: 0.0003 ips: 63.7179 images/s
[07/28 23:47:49] ppdet.engine INFO: Epoch: [242] [700/732] learning_rate: 0.020584 loss_vfl: 0.999336 loss_bbox: 0.470008 loss_dfl: 0.444823 loss: 1.954910 eta: 11:34:55 batch_cost: 0.5776 data_cost: 0.0003 ips: 69.2477 images/s
[07/28 23:48:04] ppdet.engine INFO: Epoch: [242] [720/732] learning_rate: 0.020575 loss_vfl: 0.932249 loss_bbox: 0.443970 loss_dfl: 0.419400 loss: 1.805975 eta: 11:34:33 batch_cost: 0.6256 data_cost: 0.0004 ips: 63.9352 images/s
[07/28 23:48:18] ppdet.engine INFO: Epoch: [243] [  0/732] learning_rate: 0.020570 loss_vfl: 0.907695 loss_bbox: 0.416359 loss_dfl: 0.395919 loss: 1.712395 eta: 11:34:21 batch_cost: 0.8345 data_cost: 0.2140 ips: 47.9347 images/s
[07/28 23:48:34] ppdet.engine INFO: Epoch: [243] [ 20/732] learning_rate: 0.020561 loss_vfl: 0.907673 loss_bbox: 0.414732 loss_dfl: 0.400703 loss: 1.713971 eta: 11:33:59 batch_cost: 0.6337 data_cost: 0.0005 ips: 63.1221 images/s
[07/28 23:48:50] ppdet.engine INFO: Epoch: [243] [ 40/732] learning_rate: 0.020551 loss_vfl: 0.917083 loss_bbox: 0.429010 loss_dfl: 0.406149 loss: 1.742130 eta: 11:33:37 batch_cost: 0.6460 data_cost: 0.0003 ips: 61.9198 images/s
[07/28 23:49:06] ppdet.engine INFO: Epoch: [243] [ 60/732] learning_rate: 0.020542 loss_vfl: 0.915042 loss_bbox: 0.468333 loss_dfl: 0.416153 loss: 1.775168 eta: 11:33:16 batch_cost: 0.6617 data_cost: 0.0004 ips: 60.4461 images/s
[07/28 23:49:22] ppdet.engine INFO: Epoch: [243] [ 80/732] learning_rate: 0.020533 loss_vfl: 0.896090 loss_bbox: 0.434304 loss_dfl: 0.407485 loss: 1.727885 eta: 11:32:54 batch_cost: 0.6644 data_cost: 0.0003 ips: 60.2073 images/s
[07/28 23:49:37] ppdet.engine INFO: Epoch: [243] [100/732] learning_rate: 0.020524 loss_vfl: 0.870620 loss_bbox: 0.418663 loss_dfl: 0.400146 loss: 1.703891 eta: 11:32:33 batch_cost: 0.6111 data_cost: 0.0003 ips: 65.4584 images/s
[07/28 23:49:51] ppdet.engine INFO: Epoch: [243] [120/732] learning_rate: 0.020515 loss_vfl: 0.972760 loss_bbox: 0.509790 loss_dfl: 0.441584 loss: 1.928150 eta: 11:32:11 batch_cost: 0.5742 data_cost: 0.0003 ips: 69.6621 images/s
[07/28 23:50:06] ppdet.engine INFO: Epoch: [243] [140/732] learning_rate: 0.020506 loss_vfl: 0.901581 loss_bbox: 0.425214 loss_dfl: 0.391396 loss: 1.736585 eta: 11:31:49 batch_cost: 0.6038 data_cost: 0.0003 ips: 66.2502 images/s
[07/28 23:50:21] ppdet.engine INFO: Epoch: [243] [160/732] learning_rate: 0.020497 loss_vfl: 0.860375 loss_bbox: 0.421005 loss_dfl: 0.385729 loss: 1.658247 eta: 11:31:27 batch_cost: 0.6094 data_cost: 0.0003 ips: 65.6432 images/s
[07/28 23:50:36] ppdet.engine INFO: Epoch: [243] [180/732] learning_rate: 0.020488 loss_vfl: 0.885658 loss_bbox: 0.438983 loss_dfl: 0.390539 loss: 1.720557 eta: 11:31:05 batch_cost: 0.5796 data_cost: 0.0004 ips: 69.0114 images/s
[07/28 23:50:51] ppdet.engine INFO: Epoch: [243] [200/732] learning_rate: 0.020478 loss_vfl: 0.851657 loss_bbox: 0.425363 loss_dfl: 0.391205 loss: 1.658134 eta: 11:30:44 batch_cost: 0.6328 data_cost: 0.0020 ips: 63.2099 images/s
[07/28 23:51:07] ppdet.engine INFO: Epoch: [243] [220/732] learning_rate: 0.020469 loss_vfl: 0.886117 loss_bbox: 0.434382 loss_dfl: 0.409194 loss: 1.731744 eta: 11:30:22 batch_cost: 0.6574 data_cost: 0.0003 ips: 60.8503 images/s
[07/28 23:51:21] ppdet.engine INFO: Epoch: [243] [240/732] learning_rate: 0.020460 loss_vfl: 0.962849 loss_bbox: 0.469403 loss_dfl: 0.427666 loss: 1.864741 eta: 11:30:00 batch_cost: 0.5951 data_cost: 0.0003 ips: 67.2174 images/s
[07/28 23:51:35] ppdet.engine INFO: Epoch: [243] [260/732] learning_rate: 0.020451 loss_vfl: 0.893105 loss_bbox: 0.444969 loss_dfl: 0.422085 loss: 1.776665 eta: 11:29:38 batch_cost: 0.5735 data_cost: 0.0003 ips: 69.7493 images/s
[07/28 23:51:50] ppdet.engine INFO: Epoch: [243] [280/732] learning_rate: 0.020442 loss_vfl: 0.880536 loss_bbox: 0.451578 loss_dfl: 0.405288 loss: 1.733678 eta: 11:29:16 batch_cost: 0.5803 data_cost: 0.0010 ips: 68.9348 images/s
[07/28 23:52:06] ppdet.engine INFO: Epoch: [243] [300/732] learning_rate: 0.020433 loss_vfl: 0.912941 loss_bbox: 0.417659 loss_dfl: 0.403192 loss: 1.738631 eta: 11:28:55 batch_cost: 0.6313 data_cost: 0.0003 ips: 63.3635 images/s
[07/28 23:52:21] ppdet.engine INFO: Epoch: [243] [320/732] learning_rate: 0.020424 loss_vfl: 0.906329 loss_bbox: 0.421562 loss_dfl: 0.398493 loss: 1.722571 eta: 11:28:33 batch_cost: 0.6557 data_cost: 0.0010 ips: 61.0035 images/s
[07/28 23:52:36] ppdet.engine INFO: Epoch: [243] [340/732] learning_rate: 0.020415 loss_vfl: 0.890979 loss_bbox: 0.425322 loss_dfl: 0.405368 loss: 1.720500 eta: 11:28:11 batch_cost: 0.5970 data_cost: 0.0003 ips: 67.0020 images/s
[07/28 23:52:51] ppdet.engine INFO: Epoch: [243] [360/732] learning_rate: 0.020406 loss_vfl: 0.917603 loss_bbox: 0.440438 loss_dfl: 0.412685 loss: 1.772662 eta: 11:27:50 batch_cost: 0.6132 data_cost: 0.0004 ips: 65.2278 images/s
[07/28 23:53:06] ppdet.engine INFO: Epoch: [243] [380/732] learning_rate: 0.020397 loss_vfl: 0.902701 loss_bbox: 0.435698 loss_dfl: 0.404147 loss: 1.734695 eta: 11:27:28 batch_cost: 0.6243 data_cost: 0.0004 ips: 64.0739 images/s
[07/28 23:53:22] ppdet.engine INFO: Epoch: [243] [400/732] learning_rate: 0.020388 loss_vfl: 0.892668 loss_bbox: 0.455389 loss_dfl: 0.405231 loss: 1.754672 eta: 11:27:06 batch_cost: 0.6870 data_cost: 0.0004 ips: 58.2280 images/s
[07/28 23:53:37] ppdet.engine INFO: Epoch: [243] [420/732] learning_rate: 0.020379 loss_vfl: 0.879104 loss_bbox: 0.424517 loss_dfl: 0.401542 loss: 1.701521 eta: 11:26:45 batch_cost: 0.5986 data_cost: 0.0004 ips: 66.8184 images/s
[07/28 23:53:52] ppdet.engine INFO: Epoch: [243] [440/732] learning_rate: 0.020370 loss_vfl: 0.927883 loss_bbox: 0.456136 loss_dfl: 0.422896 loss: 1.804116 eta: 11:26:23 batch_cost: 0.6161 data_cost: 0.0010 ips: 64.9213 images/s
[07/28 23:54:08] ppdet.engine INFO: Epoch: [243] [460/732] learning_rate: 0.020361 loss_vfl: 0.970095 loss_bbox: 0.486351 loss_dfl: 0.448164 loss: 1.897988 eta: 11:26:01 batch_cost: 0.6358 data_cost: 0.0022 ips: 62.9151 images/s
[07/28 23:54:23] ppdet.engine INFO: Epoch: [243] [480/732] learning_rate: 0.020352 loss_vfl: 0.827307 loss_bbox: 0.419168 loss_dfl: 0.380319 loss: 1.613570 eta: 11:25:40 batch_cost: 0.6254 data_cost: 0.0003 ips: 63.9566 images/s
[07/28 23:54:37] ppdet.engine INFO: Epoch: [243] [500/732] learning_rate: 0.020343 loss_vfl: 0.889532 loss_bbox: 0.443884 loss_dfl: 0.406996 loss: 1.757430 eta: 11:25:18 batch_cost: 0.5723 data_cost: 0.0003 ips: 69.8912 images/s
[07/28 23:54:52] ppdet.engine INFO: Epoch: [243] [520/732] learning_rate: 0.020334 loss_vfl: 0.900624 loss_bbox: 0.441009 loss_dfl: 0.406211 loss: 1.731564 eta: 11:24:56 batch_cost: 0.6151 data_cost: 0.0003 ips: 65.0288 images/s
[07/28 23:55:08] ppdet.engine INFO: Epoch: [243] [540/732] learning_rate: 0.020325 loss_vfl: 0.865368 loss_bbox: 0.441546 loss_dfl: 0.389361 loss: 1.697552 eta: 11:24:34 batch_cost: 0.6542 data_cost: 0.0007 ips: 61.1426 images/s
[07/28 23:55:22] ppdet.engine INFO: Epoch: [243] [560/732] learning_rate: 0.020316 loss_vfl: 0.940465 loss_bbox: 0.474349 loss_dfl: 0.432263 loss: 1.860537 eta: 11:24:13 batch_cost: 0.5868 data_cost: 0.0009 ips: 68.1685 images/s
[07/28 23:55:37] ppdet.engine INFO: Epoch: [243] [580/732] learning_rate: 0.020308 loss_vfl: 0.944638 loss_bbox: 0.447885 loss_dfl: 0.405773 loss: 1.785317 eta: 11:23:51 batch_cost: 0.6009 data_cost: 0.0024 ips: 66.5647 images/s
[07/28 23:55:52] ppdet.engine INFO: Epoch: [243] [600/732] learning_rate: 0.020299 loss_vfl: 0.922938 loss_bbox: 0.449986 loss_dfl: 0.417833 loss: 1.790391 eta: 11:23:29 batch_cost: 0.5943 data_cost: 0.0016 ips: 67.3020 images/s
[07/28 23:56:06] ppdet.engine INFO: Epoch: [243] [620/732] learning_rate: 0.020290 loss_vfl: 0.911605 loss_bbox: 0.447627 loss_dfl: 0.419163 loss: 1.766375 eta: 11:23:07 batch_cost: 0.6043 data_cost: 0.0011 ips: 66.1959 images/s
[07/28 23:56:22] ppdet.engine INFO: Epoch: [243] [640/732] learning_rate: 0.020281 loss_vfl: 0.871026 loss_bbox: 0.410087 loss_dfl: 0.388645 loss: 1.650570 eta: 11:22:46 batch_cost: 0.6514 data_cost: 0.0003 ips: 61.4052 images/s
[07/28 23:56:38] ppdet.engine INFO: Epoch: [243] [660/732] learning_rate: 0.020272 loss_vfl: 0.899369 loss_bbox: 0.441327 loss_dfl: 0.416296 loss: 1.776590 eta: 11:22:24 batch_cost: 0.6584 data_cost: 0.0003 ips: 60.7549 images/s
[07/28 23:56:54] ppdet.engine INFO: Epoch: [243] [680/732] learning_rate: 0.020263 loss_vfl: 0.910980 loss_bbox: 0.459163 loss_dfl: 0.406964 loss: 1.745169 eta: 11:22:03 batch_cost: 0.6494 data_cost: 0.0007 ips: 61.5966 images/s
[07/28 23:57:08] ppdet.engine INFO: Epoch: [243] [700/732] learning_rate: 0.020254 loss_vfl: 0.886215 loss_bbox: 0.439019 loss_dfl: 0.400892 loss: 1.719420 eta: 11:21:41 batch_cost: 0.5936 data_cost: 0.0003 ips: 67.3849 images/s
[07/28 23:57:22] ppdet.engine INFO: Epoch: [243] [720/732] learning_rate: 0.020245 loss_vfl: 0.912397 loss_bbox: 0.462623 loss_dfl: 0.415709 loss: 1.776466 eta: 11:21:19 batch_cost: 0.5473 data_cost: 0.0004 ips: 73.0810 images/s
[07/28 23:57:36] ppdet.engine INFO: Epoch: [244] [  0/732] learning_rate: 0.020240 loss_vfl: 0.863055 loss_bbox: 0.433635 loss_dfl: 0.406194 loss: 1.698974 eta: 11:21:07 batch_cost: 0.8054 data_cost: 0.2180 ips: 49.6643 images/s
[07/28 23:57:52] ppdet.engine INFO: Epoch: [244] [ 20/732] learning_rate: 0.020231 loss_vfl: 0.872976 loss_bbox: 0.417887 loss_dfl: 0.406531 loss: 1.717289 eta: 11:20:46 batch_cost: 0.6811 data_cost: 0.0003 ips: 58.7244 images/s
[07/28 23:58:08] ppdet.engine INFO: Epoch: [244] [ 40/732] learning_rate: 0.020222 loss_vfl: 0.970079 loss_bbox: 0.484988 loss_dfl: 0.436546 loss: 1.884887 eta: 11:20:24 batch_cost: 0.6140 data_cost: 0.0010 ips: 65.1518 images/s
[07/28 23:58:25] ppdet.engine INFO: Epoch: [244] [ 60/732] learning_rate: 0.020214 loss_vfl: 0.900009 loss_bbox: 0.439112 loss_dfl: 0.409579 loss: 1.748582 eta: 11:20:02 batch_cost: 0.6862 data_cost: 0.0003 ips: 58.2886 images/s
[07/28 23:58:40] ppdet.engine INFO: Epoch: [244] [ 80/732] learning_rate: 0.020205 loss_vfl: 0.907276 loss_bbox: 0.434892 loss_dfl: 0.402137 loss: 1.748140 eta: 11:19:41 batch_cost: 0.5755 data_cost: 0.0003 ips: 69.5014 images/s
[07/28 23:58:55] ppdet.engine INFO: Epoch: [244] [100/732] learning_rate: 0.020196 loss_vfl: 0.881095 loss_bbox: 0.428043 loss_dfl: 0.398609 loss: 1.699209 eta: 11:19:19 batch_cost: 0.6102 data_cost: 0.0011 ips: 65.5496 images/s
[07/28 23:59:12] ppdet.engine INFO: Epoch: [244] [120/732] learning_rate: 0.020187 loss_vfl: 0.928212 loss_bbox: 0.435992 loss_dfl: 0.402275 loss: 1.771093 eta: 11:18:58 batch_cost: 0.7326 data_cost: 0.0003 ips: 54.5973 images/s
[07/28 23:59:28] ppdet.engine INFO: Epoch: [244] [140/732] learning_rate: 0.020178 loss_vfl: 0.877138 loss_bbox: 0.419811 loss_dfl: 0.402001 loss: 1.728273 eta: 11:18:36 batch_cost: 0.6541 data_cost: 0.0003 ips: 61.1488 images/s
[07/28 23:59:43] ppdet.engine INFO: Epoch: [244] [160/732] learning_rate: 0.020170 loss_vfl: 0.913283 loss_bbox: 0.452300 loss_dfl: 0.414220 loss: 1.784272 eta: 11:18:15 batch_cost: 0.6315 data_cost: 0.0003 ips: 63.3414 images/s
[07/28 23:59:58] ppdet.engine INFO: Epoch: [244] [180/732] learning_rate: 0.020161 loss_vfl: 0.865351 loss_bbox: 0.432791 loss_dfl: 0.402077 loss: 1.682514 eta: 11:17:53 batch_cost: 0.6393 data_cost: 0.0003 ips: 62.5704 images/s
[07/29 00:00:14] ppdet.engine INFO: Epoch: [244] [200/732] learning_rate: 0.020152 loss_vfl: 0.865858 loss_bbox: 0.425999 loss_dfl: 0.396600 loss: 1.677294 eta: 11:17:32 batch_cost: 0.6461 data_cost: 0.0003 ips: 61.9072 images/s
[07/29 00:00:30] ppdet.engine INFO: Epoch: [244] [220/732] learning_rate: 0.020143 loss_vfl: 0.873258 loss_bbox: 0.430683 loss_dfl: 0.408253 loss: 1.713458 eta: 11:17:10 batch_cost: 0.6493 data_cost: 0.0004 ips: 61.6027 images/s
[07/29 00:00:45] ppdet.engine INFO: Epoch: [244] [240/732] learning_rate: 0.020135 loss_vfl: 0.898792 loss_bbox: 0.450475 loss_dfl: 0.423119 loss: 1.778999 eta: 11:16:48 batch_cost: 0.6038 data_cost: 0.0017 ips: 66.2443 images/s
[07/29 00:01:00] ppdet.engine INFO: Epoch: [244] [260/732] learning_rate: 0.020126 loss_vfl: 0.920174 loss_bbox: 0.436727 loss_dfl: 0.422319 loss: 1.813174 eta: 11:16:27 batch_cost: 0.5845 data_cost: 0.0003 ips: 68.4320 images/s
[07/29 00:01:16] ppdet.engine INFO: Epoch: [244] [280/732] learning_rate: 0.020117 loss_vfl: 0.969285 loss_bbox: 0.458628 loss_dfl: 0.434117 loss: 1.870810 eta: 11:16:05 batch_cost: 0.6430 data_cost: 0.0003 ips: 62.2061 images/s
[07/29 00:01:32] ppdet.engine INFO: Epoch: [244] [300/732] learning_rate: 0.020108 loss_vfl: 0.947531 loss_bbox: 0.473681 loss_dfl: 0.427748 loss: 1.843781 eta: 11:15:43 batch_cost: 0.6278 data_cost: 0.0010 ips: 63.7128 images/s
[07/29 00:01:47] ppdet.engine INFO: Epoch: [244] [320/732] learning_rate: 0.020100 loss_vfl: 0.888496 loss_bbox: 0.417231 loss_dfl: 0.398539 loss: 1.704585 eta: 11:15:22 batch_cost: 0.6298 data_cost: 0.0009 ips: 63.5152 images/s
[07/29 00:02:01] ppdet.engine INFO: Epoch: [244] [340/732] learning_rate: 0.020091 loss_vfl: 0.929257 loss_bbox: 0.454689 loss_dfl: 0.423484 loss: 1.792804 eta: 11:15:00 batch_cost: 0.6212 data_cost: 0.0003 ips: 64.3906 images/s
[07/29 00:02:16] ppdet.engine INFO: Epoch: [244] [360/732] learning_rate: 0.020082 loss_vfl: 0.875497 loss_bbox: 0.432837 loss_dfl: 0.400838 loss: 1.711192 eta: 11:14:38 batch_cost: 0.5841 data_cost: 0.0009 ips: 68.4806 images/s
[07/29 00:02:32] ppdet.engine INFO: Epoch: [244] [380/732] learning_rate: 0.020074 loss_vfl: 0.896522 loss_bbox: 0.451482 loss_dfl: 0.418802 loss: 1.785815 eta: 11:14:17 batch_cost: 0.6614 data_cost: 0.0004 ips: 60.4735 images/s
[07/29 00:02:48] ppdet.engine INFO: Epoch: [244] [400/732] learning_rate: 0.020065 loss_vfl: 0.916364 loss_bbox: 0.446007 loss_dfl: 0.416313 loss: 1.775150 eta: 11:13:55 batch_cost: 0.6386 data_cost: 0.0003 ips: 62.6398 images/s
[07/29 00:03:03] ppdet.engine INFO: Epoch: [244] [420/732] learning_rate: 0.020056 loss_vfl: 0.939401 loss_bbox: 0.474714 loss_dfl: 0.425725 loss: 1.822214 eta: 11:13:34 batch_cost: 0.6408 data_cost: 0.0003 ips: 62.4172 images/s
[07/29 00:03:18] ppdet.engine INFO: Epoch: [244] [440/732] learning_rate: 0.020048 loss_vfl: 0.925057 loss_bbox: 0.453192 loss_dfl: 0.415694 loss: 1.794711 eta: 11:13:12 batch_cost: 0.5974 data_cost: 0.0003 ips: 66.9553 images/s
[07/29 00:03:32] ppdet.engine INFO: Epoch: [244] [460/732] learning_rate: 0.020039 loss_vfl: 0.900546 loss_bbox: 0.440170 loss_dfl: 0.396808 loss: 1.721793 eta: 11:12:51 batch_cost: 0.6227 data_cost: 0.0021 ips: 64.2397 images/s
[07/29 00:03:48] ppdet.engine INFO: Epoch: [244] [480/732] learning_rate: 0.020030 loss_vfl: 0.899181 loss_bbox: 0.429394 loss_dfl: 0.411426 loss: 1.761734 eta: 11:12:29 batch_cost: 0.6241 data_cost: 0.0008 ips: 64.0875 images/s
[07/29 00:04:03] ppdet.engine INFO: Epoch: [244] [500/732] learning_rate: 0.020022 loss_vfl: 0.866870 loss_bbox: 0.434321 loss_dfl: 0.399345 loss: 1.701918 eta: 11:12:07 batch_cost: 0.6396 data_cost: 0.0004 ips: 62.5347 images/s
[07/29 00:04:18] ppdet.engine INFO: Epoch: [244] [520/732] learning_rate: 0.020013 loss_vfl: 0.901323 loss_bbox: 0.450549 loss_dfl: 0.411051 loss: 1.753275 eta: 11:11:46 batch_cost: 0.6038 data_cost: 0.0010 ips: 66.2462 images/s
[07/29 00:04:33] ppdet.engine INFO: Epoch: [244] [540/732] learning_rate: 0.020005 loss_vfl: 0.932150 loss_bbox: 0.446908 loss_dfl: 0.424172 loss: 1.809663 eta: 11:11:24 batch_cost: 0.6199 data_cost: 0.0004 ips: 64.5309 images/s
[07/29 00:04:49] ppdet.engine INFO: Epoch: [244] [560/732] learning_rate: 0.019996 loss_vfl: 0.899034 loss_bbox: 0.444335 loss_dfl: 0.412722 loss: 1.765872 eta: 11:11:03 batch_cost: 0.6410 data_cost: 0.0003 ips: 62.4043 images/s
[07/29 00:05:05] ppdet.engine INFO: Epoch: [244] [580/732] learning_rate: 0.019987 loss_vfl: 0.886403 loss_bbox: 0.426922 loss_dfl: 0.401198 loss: 1.714316 eta: 11:10:41 batch_cost: 0.6456 data_cost: 0.0004 ips: 61.9536 images/s
[07/29 00:05:20] ppdet.engine INFO: Epoch: [244] [600/732] learning_rate: 0.019979 loss_vfl: 0.904510 loss_bbox: 0.441955 loss_dfl: 0.405197 loss: 1.766304 eta: 11:10:19 batch_cost: 0.5805 data_cost: 0.0003 ips: 68.9042 images/s
[07/29 00:05:35] ppdet.engine INFO: Epoch: [244] [620/732] learning_rate: 0.019970 loss_vfl: 0.902960 loss_bbox: 0.433040 loss_dfl: 0.407203 loss: 1.755486 eta: 11:09:58 batch_cost: 0.6405 data_cost: 0.0004 ips: 62.4484 images/s
[07/29 00:05:50] ppdet.engine INFO: Epoch: [244] [640/732] learning_rate: 0.019962 loss_vfl: 0.956988 loss_bbox: 0.464796 loss_dfl: 0.442917 loss: 1.857162 eta: 11:09:36 batch_cost: 0.6188 data_cost: 0.0011 ips: 64.6446 images/s
[07/29 00:06:06] ppdet.engine INFO: Epoch: [244] [660/732] learning_rate: 0.019953 loss_vfl: 0.917893 loss_bbox: 0.450170 loss_dfl: 0.407165 loss: 1.743034 eta: 11:09:15 batch_cost: 0.6143 data_cost: 0.0005 ips: 65.1144 images/s
[07/29 00:06:20] ppdet.engine INFO: Epoch: [244] [680/732] learning_rate: 0.019945 loss_vfl: 0.910327 loss_bbox: 0.444397 loss_dfl: 0.401617 loss: 1.756631 eta: 11:08:53 batch_cost: 0.5837 data_cost: 0.0003 ips: 68.5323 images/s
[07/29 00:06:35] ppdet.engine INFO: Epoch: [244] [700/732] learning_rate: 0.019936 loss_vfl: 0.952361 loss_bbox: 0.461075 loss_dfl: 0.431297 loss: 1.867872 eta: 11:08:31 batch_cost: 0.6233 data_cost: 0.0063 ips: 64.1776 images/s
[07/29 00:06:51] ppdet.engine INFO: Epoch: [244] [720/732] learning_rate: 0.019928 loss_vfl: 0.913752 loss_bbox: 0.407875 loss_dfl: 0.395360 loss: 1.716060 eta: 11:08:10 batch_cost: 0.6732 data_cost: 0.0004 ips: 59.4187 images/s
[07/29 00:07:06] ppdet.engine INFO: Epoch: [245] [  0/732] learning_rate: 0.019922 loss_vfl: 0.914125 loss_bbox: 0.427174 loss_dfl: 0.404646 loss: 1.788220 eta: 11:07:58 batch_cost: 0.8874 data_cost: 0.2562 ips: 45.0738 images/s
[07/29 00:07:23] ppdet.engine INFO: Epoch: [245] [ 20/732] learning_rate: 0.019914 loss_vfl: 0.963891 loss_bbox: 0.449975 loss_dfl: 0.426923 loss: 1.841833 eta: 11:07:37 batch_cost: 0.7177 data_cost: 0.0012 ips: 55.7338 images/s
[07/29 00:07:40] ppdet.engine INFO: Epoch: [245] [ 40/732] learning_rate: 0.019905 loss_vfl: 0.869737 loss_bbox: 0.424238 loss_dfl: 0.402368 loss: 1.697656 eta: 11:07:16 batch_cost: 0.6878 data_cost: 0.0004 ips: 58.1527 images/s
[07/29 00:07:56] ppdet.engine INFO: Epoch: [245] [ 60/732] learning_rate: 0.019897 loss_vfl: 0.888782 loss_bbox: 0.420434 loss_dfl: 0.405758 loss: 1.710375 eta: 11:06:54 batch_cost: 0.6401 data_cost: 0.0017 ips: 62.4879 images/s
[07/29 00:08:11] ppdet.engine INFO: Epoch: [245] [ 80/732] learning_rate: 0.019888 loss_vfl: 0.907298 loss_bbox: 0.440973 loss_dfl: 0.409647 loss: 1.758448 eta: 11:06:32 batch_cost: 0.6163 data_cost: 0.0014 ips: 64.9046 images/s
[07/29 00:08:26] ppdet.engine INFO: Epoch: [245] [100/732] learning_rate: 0.019880 loss_vfl: 0.917713 loss_bbox: 0.438535 loss_dfl: 0.400963 loss: 1.747085 eta: 11:06:11 batch_cost: 0.6406 data_cost: 0.0003 ips: 62.4435 images/s
[07/29 00:08:42] ppdet.engine INFO: Epoch: [245] [120/732] learning_rate: 0.019872 loss_vfl: 0.945083 loss_bbox: 0.457428 loss_dfl: 0.417266 loss: 1.813412 eta: 11:05:49 batch_cost: 0.6560 data_cost: 0.0003 ips: 60.9712 images/s
[07/29 00:08:57] ppdet.engine INFO: Epoch: [245] [140/732] learning_rate: 0.019863 loss_vfl: 0.878366 loss_bbox: 0.408330 loss_dfl: 0.402560 loss: 1.692353 eta: 11:05:28 batch_cost: 0.6563 data_cost: 0.0003 ips: 60.9504 images/s
[07/29 00:09:13] ppdet.engine INFO: Epoch: [245] [160/732] learning_rate: 0.019855 loss_vfl: 0.874080 loss_bbox: 0.433772 loss_dfl: 0.407168 loss: 1.723203 eta: 11:05:07 batch_cost: 0.6421 data_cost: 0.0003 ips: 62.2928 images/s
[07/29 00:09:29] ppdet.engine INFO: Epoch: [245] [180/732] learning_rate: 0.019846 loss_vfl: 0.924150 loss_bbox: 0.441520 loss_dfl: 0.410790 loss: 1.767721 eta: 11:04:45 batch_cost: 0.6575 data_cost: 0.0003 ips: 60.8347 images/s
[07/29 00:09:45] ppdet.engine INFO: Epoch: [245] [200/732] learning_rate: 0.019838 loss_vfl: 0.922417 loss_bbox: 0.427280 loss_dfl: 0.412109 loss: 1.775185 eta: 11:04:24 batch_cost: 0.6313 data_cost: 0.0004 ips: 63.3572 images/s
[07/29 00:10:00] ppdet.engine INFO: Epoch: [245] [220/732] learning_rate: 0.019829 loss_vfl: 0.916645 loss_bbox: 0.428413 loss_dfl: 0.401531 loss: 1.726694 eta: 11:04:02 batch_cost: 0.6604 data_cost: 0.0009 ips: 60.5712 images/s
[07/29 00:10:16] ppdet.engine INFO: Epoch: [245] [240/732] learning_rate: 0.019821 loss_vfl: 0.881759 loss_bbox: 0.442753 loss_dfl: 0.409218 loss: 1.751754 eta: 11:03:41 batch_cost: 0.6354 data_cost: 0.0011 ips: 62.9529 images/s
[07/29 00:10:31] ppdet.engine INFO: Epoch: [245] [260/732] learning_rate: 0.019813 loss_vfl: 0.933980 loss_bbox: 0.463545 loss_dfl: 0.418213 loss: 1.780196 eta: 11:03:19 batch_cost: 0.6308 data_cost: 0.0009 ips: 63.4134 images/s
[07/29 00:10:45] ppdet.engine INFO: Epoch: [245] [280/732] learning_rate: 0.019804 loss_vfl: 0.918516 loss_bbox: 0.438408 loss_dfl: 0.411557 loss: 1.799345 eta: 11:02:57 batch_cost: 0.5657 data_cost: 0.0003 ips: 70.7074 images/s
[07/29 00:11:01] ppdet.engine INFO: Epoch: [245] [300/732] learning_rate: 0.019796 loss_vfl: 0.898005 loss_bbox: 0.428203 loss_dfl: 0.399335 loss: 1.715512 eta: 11:02:36 batch_cost: 0.6602 data_cost: 0.0014 ips: 60.5837 images/s
[07/29 00:11:16] ppdet.engine INFO: Epoch: [245] [320/732] learning_rate: 0.019787 loss_vfl: 0.932645 loss_bbox: 0.463196 loss_dfl: 0.426200 loss: 1.829861 eta: 11:02:14 batch_cost: 0.5995 data_cost: 0.0003 ips: 66.7224 images/s
[07/29 00:11:31] ppdet.engine INFO: Epoch: [245] [340/732] learning_rate: 0.019779 loss_vfl: 0.862536 loss_bbox: 0.419918 loss_dfl: 0.386124 loss: 1.669027 eta: 11:01:53 batch_cost: 0.6052 data_cost: 0.0003 ips: 66.0970 images/s
[07/29 00:11:47] ppdet.engine INFO: Epoch: [245] [360/732] learning_rate: 0.019771 loss_vfl: 0.936867 loss_bbox: 0.437802 loss_dfl: 0.411539 loss: 1.784159 eta: 11:01:31 batch_cost: 0.6507 data_cost: 0.0010 ips: 61.4697 images/s
[07/29 00:12:03] ppdet.engine INFO: Epoch: [245] [380/732] learning_rate: 0.019762 loss_vfl: 0.840151 loss_bbox: 0.395753 loss_dfl: 0.379527 loss: 1.620377 eta: 11:01:10 batch_cost: 0.6572 data_cost: 0.0008 ips: 60.8635 images/s
[07/29 00:12:18] ppdet.engine INFO: Epoch: [245] [400/732] learning_rate: 0.019754 loss_vfl: 0.903470 loss_bbox: 0.446385 loss_dfl: 0.411174 loss: 1.759870 eta: 11:00:48 batch_cost: 0.6109 data_cost: 0.0003 ips: 65.4815 images/s
[07/29 00:12:33] ppdet.engine INFO: Epoch: [245] [420/732] learning_rate: 0.019746 loss_vfl: 0.932354 loss_bbox: 0.437582 loss_dfl: 0.409956 loss: 1.763754 eta: 11:00:27 batch_cost: 0.6192 data_cost: 0.0004 ips: 64.5987 images/s
[07/29 00:12:48] ppdet.engine INFO: Epoch: [245] [440/732] learning_rate: 0.019737 loss_vfl: 0.917809 loss_bbox: 0.430651 loss_dfl: 0.410837 loss: 1.749830 eta: 11:00:05 batch_cost: 0.5719 data_cost: 0.0003 ips: 69.9482 images/s
[07/29 00:13:03] ppdet.engine INFO: Epoch: [245] [460/732] learning_rate: 0.019729 loss_vfl: 0.925030 loss_bbox: 0.467114 loss_dfl: 0.423895 loss: 1.817763 eta: 10:59:43 batch_cost: 0.5866 data_cost: 0.0011 ips: 68.1862 images/s
[07/29 00:13:18] ppdet.engine INFO: Epoch: [245] [480/732] learning_rate: 0.019721 loss_vfl: 0.857582 loss_bbox: 0.429253 loss_dfl: 0.395203 loss: 1.691525 eta: 10:59:22 batch_cost: 0.5874 data_cost: 0.0009 ips: 68.0951 images/s
[07/29 00:13:32] ppdet.engine INFO: Epoch: [245] [500/732] learning_rate: 0.019712 loss_vfl: 0.886681 loss_bbox: 0.433085 loss_dfl: 0.402660 loss: 1.732861 eta: 10:59:00 batch_cost: 0.5958 data_cost: 0.0004 ips: 67.1375 images/s
[07/29 00:13:48] ppdet.engine INFO: Epoch: [245] [520/732] learning_rate: 0.019704 loss_vfl: 0.914908 loss_bbox: 0.442897 loss_dfl: 0.410051 loss: 1.764640 eta: 10:58:39 batch_cost: 0.6482 data_cost: 0.0003 ips: 61.7136 images/s
[07/29 00:14:04] ppdet.engine INFO: Epoch: [245] [540/732] learning_rate: 0.019696 loss_vfl: 0.887124 loss_bbox: 0.443115 loss_dfl: 0.402859 loss: 1.723692 eta: 10:58:17 batch_cost: 0.6353 data_cost: 0.0010 ips: 62.9634 images/s
[07/29 00:14:19] ppdet.engine INFO: Epoch: [245] [560/732] learning_rate: 0.019688 loss_vfl: 0.874548 loss_bbox: 0.427353 loss_dfl: 0.384834 loss: 1.678293 eta: 10:57:56 batch_cost: 0.6193 data_cost: 0.0003 ips: 64.5858 images/s
[07/29 00:14:34] ppdet.engine INFO: Epoch: [245] [580/732] learning_rate: 0.019679 loss_vfl: 0.893737 loss_bbox: 0.443068 loss_dfl: 0.406602 loss: 1.739135 eta: 10:57:34 batch_cost: 0.6625 data_cost: 0.0016 ips: 60.3782 images/s
[07/29 00:14:50] ppdet.engine INFO: Epoch: [245] [600/732] learning_rate: 0.019671 loss_vfl: 0.877246 loss_bbox: 0.431459 loss_dfl: 0.398195 loss: 1.707220 eta: 10:57:13 batch_cost: 0.6598 data_cost: 0.0003 ips: 60.6275 images/s
[07/29 00:15:06] ppdet.engine INFO: Epoch: [245] [620/732] learning_rate: 0.019663 loss_vfl: 0.921959 loss_bbox: 0.438154 loss_dfl: 0.413585 loss: 1.763599 eta: 10:56:51 batch_cost: 0.6586 data_cost: 0.0013 ips: 60.7394 images/s
[07/29 00:15:22] ppdet.engine INFO: Epoch: [245] [640/732] learning_rate: 0.019655 loss_vfl: 0.916239 loss_bbox: 0.435327 loss_dfl: 0.398395 loss: 1.745425 eta: 10:56:30 batch_cost: 0.6484 data_cost: 0.0004 ips: 61.6888 images/s
[07/29 00:15:37] ppdet.engine INFO: Epoch: [245] [660/732] learning_rate: 0.019646 loss_vfl: 0.898952 loss_bbox: 0.448882 loss_dfl: 0.410117 loss: 1.766487 eta: 10:56:09 batch_cost: 0.6243 data_cost: 0.0008 ips: 64.0691 images/s
[07/29 00:15:52] ppdet.engine INFO: Epoch: [245] [680/732] learning_rate: 0.019638 loss_vfl: 0.898679 loss_bbox: 0.428832 loss_dfl: 0.404739 loss: 1.728220 eta: 10:55:47 batch_cost: 0.6427 data_cost: 0.0019 ips: 62.2420 images/s
[07/29 00:16:07] ppdet.engine INFO: Epoch: [245] [700/732] learning_rate: 0.019630 loss_vfl: 0.873551 loss_bbox: 0.413927 loss_dfl: 0.384238 loss: 1.678769 eta: 10:55:26 batch_cost: 0.6091 data_cost: 0.0022 ips: 65.6732 images/s
[07/29 00:16:23] ppdet.engine INFO: Epoch: [245] [720/732] learning_rate: 0.019622 loss_vfl: 0.896054 loss_bbox: 0.444852 loss_dfl: 0.417642 loss: 1.758206 eta: 10:55:04 batch_cost: 0.6081 data_cost: 0.0035 ips: 65.7768 images/s
[07/29 00:16:37] ppdet.engine INFO: Epoch: [246] [  0/732] learning_rate: 0.019617 loss_vfl: 0.883802 loss_bbox: 0.443129 loss_dfl: 0.405322 loss: 1.737942 eta: 10:54:52 batch_cost: 0.8580 data_cost: 0.2375 ips: 46.6177 images/s
[07/29 00:16:53] ppdet.engine INFO: Epoch: [246] [ 20/732] learning_rate: 0.019609 loss_vfl: 0.880090 loss_bbox: 0.421873 loss_dfl: 0.405056 loss: 1.711245 eta: 10:54:30 batch_cost: 0.5854 data_cost: 0.0016 ips: 68.3309 images/s
[07/29 00:17:09] ppdet.engine INFO: Epoch: [246] [ 40/732] learning_rate: 0.019601 loss_vfl: 0.872007 loss_bbox: 0.428591 loss_dfl: 0.394040 loss: 1.688810 eta: 10:54:09 batch_cost: 0.6623 data_cost: 0.0003 ips: 60.3995 images/s
[07/29 00:17:24] ppdet.engine INFO: Epoch: [246] [ 60/732] learning_rate: 0.019592 loss_vfl: 0.858891 loss_bbox: 0.427835 loss_dfl: 0.388415 loss: 1.687657 eta: 10:53:47 batch_cost: 0.6069 data_cost: 0.0026 ips: 65.9104 images/s
[07/29 00:17:39] ppdet.engine INFO: Epoch: [246] [ 80/732] learning_rate: 0.019584 loss_vfl: 0.847956 loss_bbox: 0.408729 loss_dfl: 0.384040 loss: 1.646900 eta: 10:53:26 batch_cost: 0.6087 data_cost: 0.0013 ips: 65.7151 images/s
[07/29 00:17:53] ppdet.engine INFO: Epoch: [246] [100/732] learning_rate: 0.019576 loss_vfl: 0.930917 loss_bbox: 0.453899 loss_dfl: 0.419486 loss: 1.814369 eta: 10:53:04 batch_cost: 0.5836 data_cost: 0.0003 ips: 68.5432 images/s
[07/29 00:18:08] ppdet.engine INFO: Epoch: [246] [120/732] learning_rate: 0.019568 loss_vfl: 0.932335 loss_bbox: 0.450302 loss_dfl: 0.424635 loss: 1.822616 eta: 10:52:43 batch_cost: 0.6046 data_cost: 0.0005 ips: 66.1602 images/s
[07/29 00:18:24] ppdet.engine INFO: Epoch: [246] [140/732] learning_rate: 0.019560 loss_vfl: 0.883853 loss_bbox: 0.442648 loss_dfl: 0.406406 loss: 1.743037 eta: 10:52:21 batch_cost: 0.6397 data_cost: 0.0008 ips: 62.5280 images/s
[07/29 00:18:38] ppdet.engine INFO: Epoch: [246] [160/732] learning_rate: 0.019552 loss_vfl: 0.898076 loss_bbox: 0.432398 loss_dfl: 0.403196 loss: 1.743478 eta: 10:52:00 batch_cost: 0.5691 data_cost: 0.0007 ips: 70.2826 images/s
[07/29 00:18:52] ppdet.engine INFO: Epoch: [246] [180/732] learning_rate: 0.019544 loss_vfl: 0.943825 loss_bbox: 0.462422 loss_dfl: 0.421609 loss: 1.835361 eta: 10:51:38 batch_cost: 0.6027 data_cost: 0.0018 ips: 66.3724 images/s
[07/29 00:19:07] ppdet.engine INFO: Epoch: [246] [200/732] learning_rate: 0.019536 loss_vfl: 0.947442 loss_bbox: 0.460039 loss_dfl: 0.423895 loss: 1.850047 eta: 10:51:16 batch_cost: 0.5783 data_cost: 0.0003 ips: 69.1675 images/s
[07/29 00:19:22] ppdet.engine INFO: Epoch: [246] [220/732] learning_rate: 0.019528 loss_vfl: 0.965418 loss_bbox: 0.492673 loss_dfl: 0.448754 loss: 1.908270 eta: 10:50:55 batch_cost: 0.6152 data_cost: 0.0004 ips: 65.0193 images/s
[07/29 00:19:37] ppdet.engine INFO: Epoch: [246] [240/732] learning_rate: 0.019519 loss_vfl: 0.852548 loss_bbox: 0.429880 loss_dfl: 0.391334 loss: 1.694473 eta: 10:50:33 batch_cost: 0.6100 data_cost: 0.0010 ips: 65.5695 images/s
[07/29 00:19:53] ppdet.engine INFO: Epoch: [246] [260/732] learning_rate: 0.019511 loss_vfl: 0.929595 loss_bbox: 0.449415 loss_dfl: 0.412536 loss: 1.788397 eta: 10:50:12 batch_cost: 0.6458 data_cost: 0.0022 ips: 61.9345 images/s
[07/29 00:20:08] ppdet.engine INFO: Epoch: [246] [280/732] learning_rate: 0.019503 loss_vfl: 0.896966 loss_bbox: 0.441238 loss_dfl: 0.410250 loss: 1.746291 eta: 10:49:50 batch_cost: 0.6453 data_cost: 0.0003 ips: 61.9851 images/s
[07/29 00:20:24] ppdet.engine INFO: Epoch: [246] [300/732] learning_rate: 0.019495 loss_vfl: 0.910008 loss_bbox: 0.427465 loss_dfl: 0.397464 loss: 1.724346 eta: 10:49:29 batch_cost: 0.6298 data_cost: 0.0012 ips: 63.5079 images/s
[07/29 00:20:40] ppdet.engine INFO: Epoch: [246] [320/732] learning_rate: 0.019487 loss_vfl: 0.849594 loss_bbox: 0.410035 loss_dfl: 0.390797 loss: 1.653182 eta: 10:49:08 batch_cost: 0.6668 data_cost: 0.0014 ips: 59.9881 images/s
[07/29 00:20:56] ppdet.engine INFO: Epoch: [246] [340/732] learning_rate: 0.019479 loss_vfl: 0.849722 loss_bbox: 0.407274 loss_dfl: 0.394301 loss: 1.646881 eta: 10:48:46 batch_cost: 0.6324 data_cost: 0.0004 ips: 63.2484 images/s
[07/29 00:21:11] ppdet.engine INFO: Epoch: [246] [360/732] learning_rate: 0.019471 loss_vfl: 0.922648 loss_bbox: 0.408712 loss_dfl: 0.411950 loss: 1.740380 eta: 10:48:25 batch_cost: 0.6328 data_cost: 0.0006 ips: 63.2154 images/s
[07/29 00:21:26] ppdet.engine INFO: Epoch: [246] [380/732] learning_rate: 0.019463 loss_vfl: 0.934872 loss_bbox: 0.452616 loss_dfl: 0.424199 loss: 1.808876 eta: 10:48:03 batch_cost: 0.5978 data_cost: 0.0003 ips: 66.9094 images/s
[07/29 00:21:41] ppdet.engine INFO: Epoch: [246] [400/732] learning_rate: 0.019455 loss_vfl: 0.909284 loss_bbox: 0.436274 loss_dfl: 0.413626 loss: 1.773734 eta: 10:47:42 batch_cost: 0.6130 data_cost: 0.0010 ips: 65.2573 images/s
[07/29 00:21:55] ppdet.engine INFO: Epoch: [246] [420/732] learning_rate: 0.019447 loss_vfl: 0.891683 loss_bbox: 0.441362 loss_dfl: 0.407443 loss: 1.740820 eta: 10:47:20 batch_cost: 0.6005 data_cost: 0.0011 ips: 66.6099 images/s
[07/29 00:22:11] ppdet.engine INFO: Epoch: [246] [440/732] learning_rate: 0.019439 loss_vfl: 0.857003 loss_bbox: 0.403951 loss_dfl: 0.371307 loss: 1.624369 eta: 10:46:59 batch_cost: 0.6039 data_cost: 0.0032 ips: 66.2408 images/s
[07/29 00:22:25] ppdet.engine INFO: Epoch: [246] [460/732] learning_rate: 0.019431 loss_vfl: 0.909828 loss_bbox: 0.434447 loss_dfl: 0.404225 loss: 1.741286 eta: 10:46:37 batch_cost: 0.5693 data_cost: 0.0016 ips: 70.2650 images/s
[07/29 00:22:42] ppdet.engine INFO: Epoch: [246] [480/732] learning_rate: 0.019423 loss_vfl: 0.879180 loss_bbox: 0.442781 loss_dfl: 0.402815 loss: 1.727697 eta: 10:46:16 batch_cost: 0.6841 data_cost: 0.0011 ips: 58.4683 images/s
[07/29 00:22:57] ppdet.engine INFO: Epoch: [246] [500/732] learning_rate: 0.019415 loss_vfl: 0.887887 loss_bbox: 0.443874 loss_dfl: 0.398833 loss: 1.720683 eta: 10:45:54 batch_cost: 0.6174 data_cost: 0.0023 ips: 64.7839 images/s
[07/29 00:23:12] ppdet.engine INFO: Epoch: [246] [520/732] learning_rate: 0.019407 loss_vfl: 0.888083 loss_bbox: 0.424687 loss_dfl: 0.400670 loss: 1.706816 eta: 10:45:33 batch_cost: 0.5992 data_cost: 0.0009 ips: 66.7544 images/s
[07/29 00:23:27] ppdet.engine INFO: Epoch: [246] [540/732] learning_rate: 0.019399 loss_vfl: 0.902532 loss_bbox: 0.463222 loss_dfl: 0.421992 loss: 1.766434 eta: 10:45:11 batch_cost: 0.5878 data_cost: 0.0015 ips: 68.0453 images/s
[07/29 00:23:41] ppdet.engine INFO: Epoch: [246] [560/732] learning_rate: 0.019391 loss_vfl: 0.873957 loss_bbox: 0.436148 loss_dfl: 0.393120 loss: 1.717941 eta: 10:44:49 batch_cost: 0.5762 data_cost: 0.0003 ips: 69.4227 images/s
[07/29 00:23:57] ppdet.engine INFO: Epoch: [246] [580/732] learning_rate: 0.019384 loss_vfl: 0.874288 loss_bbox: 0.423365 loss_dfl: 0.388720 loss: 1.675133 eta: 10:44:28 batch_cost: 0.6316 data_cost: 0.0004 ips: 63.3266 images/s
[07/29 00:24:11] ppdet.engine INFO: Epoch: [246] [600/732] learning_rate: 0.019376 loss_vfl: 0.889488 loss_bbox: 0.409495 loss_dfl: 0.388324 loss: 1.704083 eta: 10:44:06 batch_cost: 0.5798 data_cost: 0.0003 ips: 68.9915 images/s
[07/29 00:24:26] ppdet.engine INFO: Epoch: [246] [620/732] learning_rate: 0.019368 loss_vfl: 0.899531 loss_bbox: 0.433849 loss_dfl: 0.410459 loss: 1.751886 eta: 10:43:45 batch_cost: 0.5730 data_cost: 0.0009 ips: 69.8107 images/s
[07/29 00:24:41] ppdet.engine INFO: Epoch: [246] [640/732] learning_rate: 0.019360 loss_vfl: 0.920675 loss_bbox: 0.468026 loss_dfl: 0.424136 loss: 1.814188 eta: 10:43:23 batch_cost: 0.6268 data_cost: 0.0010 ips: 63.8173 images/s
[07/29 00:24:56] ppdet.engine INFO: Epoch: [246] [660/732] learning_rate: 0.019352 loss_vfl: 0.869329 loss_bbox: 0.433108 loss_dfl: 0.408178 loss: 1.736957 eta: 10:43:02 batch_cost: 0.5853 data_cost: 0.0003 ips: 68.3421 images/s
[07/29 00:25:11] ppdet.engine INFO: Epoch: [246] [680/732] learning_rate: 0.019344 loss_vfl: 0.861976 loss_bbox: 0.422991 loss_dfl: 0.382148 loss: 1.648339 eta: 10:42:40 batch_cost: 0.6119 data_cost: 0.0003 ips: 65.3723 images/s
[07/29 00:25:26] ppdet.engine INFO: Epoch: [246] [700/732] learning_rate: 0.019336 loss_vfl: 0.895160 loss_bbox: 0.440160 loss_dfl: 0.408750 loss: 1.746843 eta: 10:42:19 batch_cost: 0.5738 data_cost: 0.0004 ips: 69.7049 images/s
[07/29 00:25:41] ppdet.engine INFO: Epoch: [246] [720/732] learning_rate: 0.019328 loss_vfl: 0.836591 loss_bbox: 0.423815 loss_dfl: 0.387073 loss: 1.650640 eta: 10:41:57 batch_cost: 0.6152 data_cost: 0.0006 ips: 65.0242 images/s
[07/29 00:25:52] ppdet.engine INFO: Epoch: [247] [  0/732] learning_rate: 0.019324 loss_vfl: 0.921490 loss_bbox: 0.461574 loss_dfl: 0.430671 loss: 1.854365 eta: 10:41:45 batch_cost: 0.6912 data_cost: 0.1569 ips: 57.8701 images/s
[07/29 00:26:11] ppdet.engine INFO: Epoch: [247] [ 20/732] learning_rate: 0.019316 loss_vfl: 0.929084 loss_bbox: 0.461931 loss_dfl: 0.429170 loss: 1.812353 eta: 10:41:23 batch_cost: 0.7160 data_cost: 0.0003 ips: 55.8641 images/s
[07/29 00:26:26] ppdet.engine INFO: Epoch: [247] [ 40/732] learning_rate: 0.019308 loss_vfl: 0.862356 loss_bbox: 0.417290 loss_dfl: 0.395140 loss: 1.674432 eta: 10:41:02 batch_cost: 0.6016 data_cost: 0.0003 ips: 66.4868 images/s
[07/29 00:26:41] ppdet.engine INFO: Epoch: [247] [ 60/732] learning_rate: 0.019300 loss_vfl: 0.943022 loss_bbox: 0.466145 loss_dfl: 0.425793 loss: 1.856648 eta: 10:40:40 batch_cost: 0.6070 data_cost: 0.0012 ips: 65.8999 images/s
[07/29 00:26:57] ppdet.engine INFO: Epoch: [247] [ 80/732] learning_rate: 0.019292 loss_vfl: 0.905131 loss_bbox: 0.432419 loss_dfl: 0.402852 loss: 1.733267 eta: 10:40:19 batch_cost: 0.6458 data_cost: 0.0003 ips: 61.9356 images/s
[07/29 00:27:12] ppdet.engine INFO: Epoch: [247] [100/732] learning_rate: 0.019284 loss_vfl: 0.896123 loss_bbox: 0.452996 loss_dfl: 0.411602 loss: 1.758367 eta: 10:39:58 batch_cost: 0.6366 data_cost: 0.0045 ips: 62.8385 images/s
[07/29 00:27:28] ppdet.engine INFO: Epoch: [247] [120/732] learning_rate: 0.019277 loss_vfl: 0.863457 loss_bbox: 0.429601 loss_dfl: 0.394759 loss: 1.679070 eta: 10:39:37 batch_cost: 0.6984 data_cost: 0.0003 ips: 57.2711 images/s
[07/29 00:27:44] ppdet.engine INFO: Epoch: [247] [140/732] learning_rate: 0.019269 loss_vfl: 0.911010 loss_bbox: 0.425406 loss_dfl: 0.412386 loss: 1.736465 eta: 10:39:15 batch_cost: 0.6454 data_cost: 0.0020 ips: 61.9798 images/s
[07/29 00:28:01] ppdet.engine INFO: Epoch: [247] [160/732] learning_rate: 0.019261 loss_vfl: 0.889114 loss_bbox: 0.439574 loss_dfl: 0.401434 loss: 1.708539 eta: 10:38:54 batch_cost: 0.6591 data_cost: 0.0004 ips: 60.6893 images/s
[07/29 00:28:17] ppdet.engine INFO: Epoch: [247] [180/732] learning_rate: 0.019253 loss_vfl: 0.849643 loss_bbox: 0.403143 loss_dfl: 0.401409 loss: 1.660107 eta: 10:38:33 batch_cost: 0.6876 data_cost: 0.0020 ips: 58.1712 images/s
[07/29 00:28:32] ppdet.engine INFO: Epoch: [247] [200/732] learning_rate: 0.019246 loss_vfl: 0.925794 loss_bbox: 0.432057 loss_dfl: 0.403151 loss: 1.755462 eta: 10:38:11 batch_cost: 0.5891 data_cost: 0.0025 ips: 67.8984 images/s
[07/29 00:28:47] ppdet.engine INFO: Epoch: [247] [220/732] learning_rate: 0.019238 loss_vfl: 0.930639 loss_bbox: 0.468193 loss_dfl: 0.432009 loss: 1.845089 eta: 10:37:50 batch_cost: 0.5934 data_cost: 0.0003 ips: 67.4075 images/s
[07/29 00:29:02] ppdet.engine INFO: Epoch: [247] [240/732] learning_rate: 0.019230 loss_vfl: 0.885246 loss_bbox: 0.429518 loss_dfl: 0.408743 loss: 1.730305 eta: 10:37:28 batch_cost: 0.6169 data_cost: 0.0009 ips: 64.8432 images/s
[07/29 00:29:17] ppdet.engine INFO: Epoch: [247] [260/732] learning_rate: 0.019222 loss_vfl: 0.907569 loss_bbox: 0.446553 loss_dfl: 0.417045 loss: 1.776475 eta: 10:37:07 batch_cost: 0.5992 data_cost: 0.0004 ips: 66.7570 images/s
[07/29 00:29:32] ppdet.engine INFO: Epoch: [247] [280/732] learning_rate: 0.019215 loss_vfl: 0.877749 loss_bbox: 0.414066 loss_dfl: 0.391630 loss: 1.652903 eta: 10:36:46 batch_cost: 0.6577 data_cost: 0.0003 ips: 60.8205 images/s
[07/29 00:29:48] ppdet.engine INFO: Epoch: [247] [300/732] learning_rate: 0.019207 loss_vfl: 0.899489 loss_bbox: 0.454733 loss_dfl: 0.408606 loss: 1.732258 eta: 10:36:24 batch_cost: 0.6175 data_cost: 0.0003 ips: 64.7797 images/s
[07/29 00:30:04] ppdet.engine INFO: Epoch: [247] [320/732] learning_rate: 0.019199 loss_vfl: 0.874770 loss_bbox: 0.412308 loss_dfl: 0.389650 loss: 1.672969 eta: 10:36:03 batch_cost: 0.6691 data_cost: 0.0014 ips: 59.7796 images/s
[07/29 00:30:20] ppdet.engine INFO: Epoch: [247] [340/732] learning_rate: 0.019192 loss_vfl: 0.874014 loss_bbox: 0.417367 loss_dfl: 0.399315 loss: 1.690275 eta: 10:35:42 batch_cost: 0.6591 data_cost: 0.0003 ips: 60.6879 images/s
[07/29 00:30:34] ppdet.engine INFO: Epoch: [247] [360/732] learning_rate: 0.019184 loss_vfl: 0.918709 loss_bbox: 0.436783 loss_dfl: 0.404768 loss: 1.767661 eta: 10:35:20 batch_cost: 0.5593 data_cost: 0.0015 ips: 71.5153 images/s
[07/29 00:30:49] ppdet.engine INFO: Epoch: [247] [380/732] learning_rate: 0.019176 loss_vfl: 0.904009 loss_bbox: 0.459574 loss_dfl: 0.416587 loss: 1.759448 eta: 10:34:59 batch_cost: 0.6275 data_cost: 0.0003 ips: 63.7412 images/s
[07/29 00:31:06] ppdet.engine INFO: Epoch: [247] [400/732] learning_rate: 0.019168 loss_vfl: 0.889327 loss_bbox: 0.437389 loss_dfl: 0.403660 loss: 1.705291 eta: 10:34:38 batch_cost: 0.6872 data_cost: 0.0009 ips: 58.2101 images/s
[07/29 00:31:21] ppdet.engine INFO: Epoch: [247] [420/732] learning_rate: 0.019161 loss_vfl: 0.889542 loss_bbox: 0.436586 loss_dfl: 0.413308 loss: 1.766244 eta: 10:34:16 batch_cost: 0.6088 data_cost: 0.0003 ips: 65.7015 images/s
[07/29 00:31:35] ppdet.engine INFO: Epoch: [247] [440/732] learning_rate: 0.019153 loss_vfl: 0.921993 loss_bbox: 0.452156 loss_dfl: 0.416282 loss: 1.801746 eta: 10:33:55 batch_cost: 0.6000 data_cost: 0.0009 ips: 66.6699 images/s
[07/29 00:31:50] ppdet.engine INFO: Epoch: [247] [460/732] learning_rate: 0.019146 loss_vfl: 0.926888 loss_bbox: 0.450752 loss_dfl: 0.417571 loss: 1.796363 eta: 10:33:33 batch_cost: 0.5998 data_cost: 0.0003 ips: 66.6844 images/s
[07/29 00:32:06] ppdet.engine INFO: Epoch: [247] [480/732] learning_rate: 0.019138 loss_vfl: 0.855715 loss_bbox: 0.423273 loss_dfl: 0.395476 loss: 1.655230 eta: 10:33:12 batch_cost: 0.6537 data_cost: 0.0003 ips: 61.1947 images/s
[07/29 00:32:22] ppdet.engine INFO: Epoch: [247] [500/732] learning_rate: 0.019130 loss_vfl: 0.951335 loss_bbox: 0.461364 loss_dfl: 0.423250 loss: 1.823492 eta: 10:32:51 batch_cost: 0.6503 data_cost: 0.0003 ips: 61.5134 images/s
[07/29 00:32:35] ppdet.engine INFO: Epoch: [247] [520/732] learning_rate: 0.019123 loss_vfl: 0.907096 loss_bbox: 0.452994 loss_dfl: 0.411649 loss: 1.803465 eta: 10:32:29 batch_cost: 0.5260 data_cost: 0.0010 ips: 76.0466 images/s
[07/29 00:32:51] ppdet.engine INFO: Epoch: [247] [540/732] learning_rate: 0.019115 loss_vfl: 0.904006 loss_bbox: 0.444531 loss_dfl: 0.406793 loss: 1.757607 eta: 10:32:07 batch_cost: 0.6279 data_cost: 0.0003 ips: 63.7091 images/s
[07/29 00:33:05] ppdet.engine INFO: Epoch: [247] [560/732] learning_rate: 0.019107 loss_vfl: 0.922418 loss_bbox: 0.455857 loss_dfl: 0.423839 loss: 1.805750 eta: 10:31:46 batch_cost: 0.6228 data_cost: 0.0003 ips: 64.2302 images/s
[07/29 00:33:20] ppdet.engine INFO: Epoch: [247] [580/732] learning_rate: 0.019100 loss_vfl: 0.914431 loss_bbox: 0.444737 loss_dfl: 0.415094 loss: 1.802893 eta: 10:31:25 batch_cost: 0.6305 data_cost: 0.0058 ips: 63.4428 images/s
[07/29 00:33:36] ppdet.engine INFO: Epoch: [247] [600/732] learning_rate: 0.019092 loss_vfl: 0.876706 loss_bbox: 0.434894 loss_dfl: 0.411667 loss: 1.737717 eta: 10:31:03 batch_cost: 0.6487 data_cost: 0.0003 ips: 61.6589 images/s
[07/29 00:33:51] ppdet.engine INFO: Epoch: [247] [620/732] learning_rate: 0.019085 loss_vfl: 0.898191 loss_bbox: 0.445521 loss_dfl: 0.414201 loss: 1.770834 eta: 10:30:42 batch_cost: 0.5786 data_cost: 0.0004 ips: 69.1281 images/s
[07/29 00:34:07] ppdet.engine INFO: Epoch: [247] [640/732] learning_rate: 0.019077 loss_vfl: 0.915164 loss_bbox: 0.426513 loss_dfl: 0.410881 loss: 1.749766 eta: 10:30:21 batch_cost: 0.6410 data_cost: 0.0011 ips: 62.4035 images/s
[07/29 00:34:21] ppdet.engine INFO: Epoch: [247] [660/732] learning_rate: 0.019070 loss_vfl: 0.939513 loss_bbox: 0.444514 loss_dfl: 0.414458 loss: 1.799603 eta: 10:29:59 batch_cost: 0.5514 data_cost: 0.0003 ips: 72.5422 images/s
[07/29 00:34:36] ppdet.engine INFO: Epoch: [247] [680/732] learning_rate: 0.019062 loss_vfl: 0.886063 loss_bbox: 0.443178 loss_dfl: 0.396790 loss: 1.706239 eta: 10:29:37 batch_cost: 0.5988 data_cost: 0.0003 ips: 66.7989 images/s
[07/29 00:34:52] ppdet.engine INFO: Epoch: [247] [700/732] learning_rate: 0.019054 loss_vfl: 0.922789 loss_bbox: 0.447062 loss_dfl: 0.416630 loss: 1.774930 eta: 10:29:16 batch_cost: 0.6429 data_cost: 0.0008 ips: 62.2175 images/s
[07/29 00:35:07] ppdet.engine INFO: Epoch: [247] [720/732] learning_rate: 0.019047 loss_vfl: 0.904800 loss_bbox: 0.461743 loss_dfl: 0.414805 loss: 1.780803 eta: 10:28:55 batch_cost: 0.6248 data_cost: 0.0010 ips: 64.0183 images/s
[07/29 00:35:20] ppdet.engine INFO: Epoch: [248] [  0/732] learning_rate: 0.019042 loss_vfl: 0.895643 loss_bbox: 0.454436 loss_dfl: 0.414967 loss: 1.760519 eta: 10:28:43 batch_cost: 0.7793 data_cost: 0.2049 ips: 51.3286 images/s
[07/29 00:35:37] ppdet.engine INFO: Epoch: [248] [ 20/732] learning_rate: 0.019035 loss_vfl: 0.886461 loss_bbox: 0.445431 loss_dfl: 0.415269 loss: 1.730911 eta: 10:28:22 batch_cost: 0.7039 data_cost: 0.0003 ips: 56.8277 images/s
[07/29 00:35:54] ppdet.engine INFO: Epoch: [248] [ 40/732] learning_rate: 0.019027 loss_vfl: 0.852302 loss_bbox: 0.409502 loss_dfl: 0.387468 loss: 1.664793 eta: 10:28:00 batch_cost: 0.6823 data_cost: 0.0008 ips: 58.6280 images/s
[07/29 00:36:09] ppdet.engine INFO: Epoch: [248] [ 60/732] learning_rate: 0.019020 loss_vfl: 0.844278 loss_bbox: 0.415623 loss_dfl: 0.391361 loss: 1.645621 eta: 10:27:39 batch_cost: 0.6474 data_cost: 0.0010 ips: 61.7885 images/s
[07/29 00:36:25] ppdet.engine INFO: Epoch: [248] [ 80/732] learning_rate: 0.019012 loss_vfl: 0.961671 loss_bbox: 0.455917 loss_dfl: 0.430532 loss: 1.864420 eta: 10:27:18 batch_cost: 0.6405 data_cost: 0.0016 ips: 62.4549 images/s
[07/29 00:36:39] ppdet.engine INFO: Epoch: [248] [100/732] learning_rate: 0.019005 loss_vfl: 0.888080 loss_bbox: 0.435735 loss_dfl: 0.405996 loss: 1.735126 eta: 10:26:57 batch_cost: 0.6072 data_cost: 0.0003 ips: 65.8733 images/s
[07/29 00:36:54] ppdet.engine INFO: Epoch: [248] [120/732] learning_rate: 0.018998 loss_vfl: 0.871767 loss_bbox: 0.425399 loss_dfl: 0.386452 loss: 1.692592 eta: 10:26:35 batch_cost: 0.5917 data_cost: 0.0003 ips: 67.6074 images/s
[07/29 00:37:10] ppdet.engine INFO: Epoch: [248] [140/732] learning_rate: 0.018990 loss_vfl: 0.856553 loss_bbox: 0.440653 loss_dfl: 0.399106 loss: 1.707082 eta: 10:26:14 batch_cost: 0.6323 data_cost: 0.0003 ips: 63.2574 images/s
[07/29 00:37:24] ppdet.engine INFO: Epoch: [248] [160/732] learning_rate: 0.018983 loss_vfl: 0.886335 loss_bbox: 0.444933 loss_dfl: 0.405478 loss: 1.738266 eta: 10:25:52 batch_cost: 0.6075 data_cost: 0.0003 ips: 65.8453 images/s
[07/29 00:37:40] ppdet.engine INFO: Epoch: [248] [180/732] learning_rate: 0.018975 loss_vfl: 0.863785 loss_bbox: 0.413859 loss_dfl: 0.385630 loss: 1.638795 eta: 10:25:31 batch_cost: 0.6335 data_cost: 0.0014 ips: 63.1438 images/s
[07/29 00:37:54] ppdet.engine INFO: Epoch: [248] [200/732] learning_rate: 0.018968 loss_vfl: 0.910354 loss_bbox: 0.426491 loss_dfl: 0.400740 loss: 1.738155 eta: 10:25:10 batch_cost: 0.6029 data_cost: 0.0008 ips: 66.3443 images/s
[07/29 00:38:09] ppdet.engine INFO: Epoch: [248] [220/732] learning_rate: 0.018960 loss_vfl: 0.947655 loss_bbox: 0.468951 loss_dfl: 0.429600 loss: 1.837785 eta: 10:24:48 batch_cost: 0.6261 data_cost: 0.0021 ips: 63.8878 images/s
[07/29 00:38:24] ppdet.engine INFO: Epoch: [248] [240/732] learning_rate: 0.018953 loss_vfl: 0.923453 loss_bbox: 0.442519 loss_dfl: 0.418680 loss: 1.797949 eta: 10:24:27 batch_cost: 0.5894 data_cost: 0.0003 ips: 67.8676 images/s
[07/29 00:38:40] ppdet.engine INFO: Epoch: [248] [260/732] learning_rate: 0.018946 loss_vfl: 0.906192 loss_bbox: 0.446137 loss_dfl: 0.413549 loss: 1.771339 eta: 10:24:06 batch_cost: 0.6511 data_cost: 0.0003 ips: 61.4332 images/s
[07/29 00:38:55] ppdet.engine INFO: Epoch: [248] [280/732] learning_rate: 0.018938 loss_vfl: 0.889156 loss_bbox: 0.437065 loss_dfl: 0.407088 loss: 1.727111 eta: 10:23:44 batch_cost: 0.6124 data_cost: 0.0009 ips: 65.3155 images/s
[07/29 00:39:10] ppdet.engine INFO: Epoch: [248] [300/732] learning_rate: 0.018931 loss_vfl: 0.900714 loss_bbox: 0.439365 loss_dfl: 0.408230 loss: 1.761098 eta: 10:23:23 batch_cost: 0.6104 data_cost: 0.0003 ips: 65.5353 images/s
[07/29 00:39:24] ppdet.engine INFO: Epoch: [248] [320/732] learning_rate: 0.018923 loss_vfl: 0.894744 loss_bbox: 0.453015 loss_dfl: 0.405792 loss: 1.759547 eta: 10:23:01 batch_cost: 0.5756 data_cost: 0.0003 ips: 69.4895 images/s
[07/29 00:39:40] ppdet.engine INFO: Epoch: [248] [340/732] learning_rate: 0.018916 loss_vfl: 0.878212 loss_bbox: 0.428987 loss_dfl: 0.405943 loss: 1.716048 eta: 10:22:40 batch_cost: 0.6525 data_cost: 0.0003 ips: 61.3011 images/s
[07/29 00:39:55] ppdet.engine INFO: Epoch: [248] [360/732] learning_rate: 0.018909 loss_vfl: 0.905227 loss_bbox: 0.442749 loss_dfl: 0.415795 loss: 1.768766 eta: 10:22:19 batch_cost: 0.6137 data_cost: 0.0003 ips: 65.1819 images/s
[07/29 00:40:08] ppdet.engine INFO: Epoch: [248] [380/732] learning_rate: 0.018901 loss_vfl: 0.936129 loss_bbox: 0.458912 loss_dfl: 0.429617 loss: 1.827378 eta: 10:21:57 batch_cost: 0.5481 data_cost: 0.0003 ips: 72.9805 images/s
[07/29 00:40:23] ppdet.engine INFO: Epoch: [248] [400/732] learning_rate: 0.018894 loss_vfl: 0.949309 loss_bbox: 0.457155 loss_dfl: 0.429534 loss: 1.840336 eta: 10:21:35 batch_cost: 0.5554 data_cost: 0.0003 ips: 72.0151 images/s
[07/29 00:40:38] ppdet.engine INFO: Epoch: [248] [420/732] learning_rate: 0.018887 loss_vfl: 0.937979 loss_bbox: 0.463967 loss_dfl: 0.423803 loss: 1.827816 eta: 10:21:14 batch_cost: 0.6611 data_cost: 0.0012 ips: 60.5048 images/s
[07/29 00:40:54] ppdet.engine INFO: Epoch: [248] [440/732] learning_rate: 0.018879 loss_vfl: 0.871422 loss_bbox: 0.411575 loss_dfl: 0.389639 loss: 1.660126 eta: 10:20:53 batch_cost: 0.6282 data_cost: 0.0010 ips: 63.6788 images/s
[07/29 00:41:09] ppdet.engine INFO: Epoch: [248] [460/732] learning_rate: 0.018872 loss_vfl: 0.931141 loss_bbox: 0.451680 loss_dfl: 0.408760 loss: 1.793062 eta: 10:20:32 batch_cost: 0.6586 data_cost: 0.0015 ips: 60.7368 images/s
[07/29 00:41:23] ppdet.engine INFO: Epoch: [248] [480/732] learning_rate: 0.018865 loss_vfl: 0.861214 loss_bbox: 0.422363 loss_dfl: 0.394167 loss: 1.671098 eta: 10:20:10 batch_cost: 0.5727 data_cost: 0.0010 ips: 69.8444 images/s
[07/29 00:41:38] ppdet.engine INFO: Epoch: [248] [500/732] learning_rate: 0.018857 loss_vfl: 0.894824 loss_bbox: 0.435137 loss_dfl: 0.390445 loss: 1.723965 eta: 10:19:49 batch_cost: 0.6161 data_cost: 0.0009 ips: 64.9199 images/s
[07/29 00:41:53] ppdet.engine INFO: Epoch: [248] [520/732] learning_rate: 0.018850 loss_vfl: 0.898578 loss_bbox: 0.429401 loss_dfl: 0.402490 loss: 1.723219 eta: 10:19:28 batch_cost: 0.6120 data_cost: 0.0004 ips: 65.3647 images/s
[07/29 00:42:07] ppdet.engine INFO: Epoch: [248] [540/732] learning_rate: 0.018843 loss_vfl: 0.888820 loss_bbox: 0.449262 loss_dfl: 0.405162 loss: 1.732965 eta: 10:19:06 batch_cost: 0.6043 data_cost: 0.0013 ips: 66.1957 images/s
[07/29 00:42:24] ppdet.engine INFO: Epoch: [248] [560/732] learning_rate: 0.018836 loss_vfl: 0.864732 loss_bbox: 0.436836 loss_dfl: 0.395046 loss: 1.696005 eta: 10:18:45 batch_cost: 0.6704 data_cost: 0.0003 ips: 59.6627 images/s
[07/29 00:42:39] ppdet.engine INFO: Epoch: [248] [580/732] learning_rate: 0.018828 loss_vfl: 0.863208 loss_bbox: 0.409114 loss_dfl: 0.383308 loss: 1.638443 eta: 10:18:24 batch_cost: 0.6207 data_cost: 0.0011 ips: 64.4414 images/s
[07/29 00:42:54] ppdet.engine INFO: Epoch: [248] [600/732] learning_rate: 0.018821 loss_vfl: 0.872444 loss_bbox: 0.432664 loss_dfl: 0.407024 loss: 1.709031 eta: 10:18:02 batch_cost: 0.6383 data_cost: 0.0015 ips: 62.6698 images/s
[07/29 00:43:10] ppdet.engine INFO: Epoch: [248] [620/732] learning_rate: 0.018814 loss_vfl: 0.952550 loss_bbox: 0.446828 loss_dfl: 0.418579 loss: 1.800459 eta: 10:17:41 batch_cost: 0.6634 data_cost: 0.0004 ips: 60.2914 images/s
[07/29 00:43:25] ppdet.engine INFO: Epoch: [248] [640/732] learning_rate: 0.018807 loss_vfl: 0.917594 loss_bbox: 0.486051 loss_dfl: 0.425258 loss: 1.818747 eta: 10:17:20 batch_cost: 0.5973 data_cost: 0.0010 ips: 66.9654 images/s
[07/29 00:43:40] ppdet.engine INFO: Epoch: [248] [660/732] learning_rate: 0.018799 loss_vfl: 0.934582 loss_bbox: 0.440047 loss_dfl: 0.421603 loss: 1.800234 eta: 10:16:59 batch_cost: 0.6294 data_cost: 0.0005 ips: 63.5566 images/s
[07/29 00:43:55] ppdet.engine INFO: Epoch: [248] [680/732] learning_rate: 0.018792 loss_vfl: 0.918403 loss_bbox: 0.468648 loss_dfl: 0.427019 loss: 1.820755 eta: 10:16:37 batch_cost: 0.6195 data_cost: 0.0016 ips: 64.5632 images/s
[07/29 00:44:11] ppdet.engine INFO: Epoch: [248] [700/732] learning_rate: 0.018785 loss_vfl: 0.878921 loss_bbox: 0.450352 loss_dfl: 0.403866 loss: 1.748276 eta: 10:16:16 batch_cost: 0.6288 data_cost: 0.0023 ips: 63.6101 images/s
[07/29 00:44:25] ppdet.engine INFO: Epoch: [248] [720/732] learning_rate: 0.018778 loss_vfl: 0.931391 loss_bbox: 0.465881 loss_dfl: 0.414762 loss: 1.797891 eta: 10:15:55 batch_cost: 0.5972 data_cost: 0.0016 ips: 66.9781 images/s
[07/29 00:44:39] ppdet.engine INFO: Epoch: [249] [  0/732] learning_rate: 0.018774 loss_vfl: 0.930980 loss_bbox: 0.465497 loss_dfl: 0.421021 loss: 1.823639 eta: 10:15:43 batch_cost: 0.7780 data_cost: 0.2708 ips: 51.4110 images/s
[07/29 00:44:56] ppdet.engine INFO: Epoch: [249] [ 20/732] learning_rate: 0.018766 loss_vfl: 0.892960 loss_bbox: 0.420512 loss_dfl: 0.389796 loss: 1.677580 eta: 10:15:22 batch_cost: 0.7064 data_cost: 0.0003 ips: 56.6225 images/s
[07/29 00:45:12] ppdet.engine INFO: Epoch: [249] [ 40/732] learning_rate: 0.018759 loss_vfl: 0.900660 loss_bbox: 0.423508 loss_dfl: 0.397687 loss: 1.712807 eta: 10:15:01 batch_cost: 0.6687 data_cost: 0.0003 ips: 59.8147 images/s
[07/29 00:45:28] ppdet.engine INFO: Epoch: [249] [ 60/732] learning_rate: 0.018752 loss_vfl: 0.914714 loss_bbox: 0.462583 loss_dfl: 0.418406 loss: 1.794222 eta: 10:14:39 batch_cost: 0.6682 data_cost: 0.0003 ips: 59.8615 images/s
[07/29 00:45:44] ppdet.engine INFO: Epoch: [249] [ 80/732] learning_rate: 0.018745 loss_vfl: 0.867965 loss_bbox: 0.432630 loss_dfl: 0.400574 loss: 1.695271 eta: 10:14:18 batch_cost: 0.6051 data_cost: 0.0004 ips: 66.1024 images/s
[07/29 00:45:59] ppdet.engine INFO: Epoch: [249] [100/732] learning_rate: 0.018738 loss_vfl: 0.855407 loss_bbox: 0.410395 loss_dfl: 0.377286 loss: 1.600058 eta: 10:13:57 batch_cost: 0.6471 data_cost: 0.0003 ips: 61.8156 images/s
[07/29 00:46:15] ppdet.engine INFO: Epoch: [249] [120/732] learning_rate: 0.018731 loss_vfl: 0.892835 loss_bbox: 0.433094 loss_dfl: 0.401815 loss: 1.735920 eta: 10:13:36 batch_cost: 0.6378 data_cost: 0.0005 ips: 62.7117 images/s
[07/29 00:46:30] ppdet.engine INFO: Epoch: [249] [140/732] learning_rate: 0.018723 loss_vfl: 0.893556 loss_bbox: 0.408826 loss_dfl: 0.399604 loss: 1.725246 eta: 10:13:14 batch_cost: 0.6288 data_cost: 0.0053 ips: 63.6117 images/s
[07/29 00:46:46] ppdet.engine INFO: Epoch: [249] [160/732] learning_rate: 0.018716 loss_vfl: 0.860182 loss_bbox: 0.414502 loss_dfl: 0.396041 loss: 1.689745 eta: 10:12:53 batch_cost: 0.6341 data_cost: 0.0011 ips: 63.0786 images/s
[07/29 00:47:01] ppdet.engine INFO: Epoch: [249] [180/732] learning_rate: 0.018709 loss_vfl: 0.903849 loss_bbox: 0.443667 loss_dfl: 0.410874 loss: 1.766919 eta: 10:12:32 batch_cost: 0.6466 data_cost: 0.0003 ips: 61.8590 images/s
[07/29 00:47:17] ppdet.engine INFO: Epoch: [249] [200/732] learning_rate: 0.018702 loss_vfl: 0.921930 loss_bbox: 0.447072 loss_dfl: 0.416974 loss: 1.774200 eta: 10:12:11 batch_cost: 0.6569 data_cost: 0.0014 ips: 60.8883 images/s
[07/29 00:47:33] ppdet.engine INFO: Epoch: [249] [220/732] learning_rate: 0.018695 loss_vfl: 0.927778 loss_bbox: 0.443378 loss_dfl: 0.425226 loss: 1.817868 eta: 10:11:50 batch_cost: 0.6983 data_cost: 0.0015 ips: 57.2832 images/s
[07/29 00:47:49] ppdet.engine INFO: Epoch: [249] [240/732] learning_rate: 0.018688 loss_vfl: 0.864755 loss_bbox: 0.416409 loss_dfl: 0.376762 loss: 1.626463 eta: 10:11:29 batch_cost: 0.6872 data_cost: 0.0033 ips: 58.2108 images/s
[07/29 00:48:04] ppdet.engine INFO: Epoch: [249] [260/732] learning_rate: 0.018681 loss_vfl: 0.922016 loss_bbox: 0.445292 loss_dfl: 0.406723 loss: 1.757746 eta: 10:11:08 batch_cost: 0.6243 data_cost: 0.0015 ips: 64.0737 images/s
[07/29 00:48:19] ppdet.engine INFO: Epoch: [249] [280/732] learning_rate: 0.018674 loss_vfl: 0.971569 loss_bbox: 0.475578 loss_dfl: 0.434850 loss: 1.893584 eta: 10:10:46 batch_cost: 0.6289 data_cost: 0.0007 ips: 63.6042 images/s
[07/29 00:48:35] ppdet.engine INFO: Epoch: [249] [300/732] learning_rate: 0.018667 loss_vfl: 0.866354 loss_bbox: 0.416497 loss_dfl: 0.392950 loss: 1.690975 eta: 10:10:25 batch_cost: 0.6589 data_cost: 0.0003 ips: 60.7106 images/s
[07/29 00:48:50] ppdet.engine INFO: Epoch: [249] [320/732] learning_rate: 0.018660 loss_vfl: 0.880676 loss_bbox: 0.434992 loss_dfl: 0.401664 loss: 1.713868 eta: 10:10:04 batch_cost: 0.6351 data_cost: 0.0003 ips: 62.9785 images/s
[07/29 00:49:05] ppdet.engine INFO: Epoch: [249] [340/732] learning_rate: 0.018653 loss_vfl: 0.867697 loss_bbox: 0.417859 loss_dfl: 0.395112 loss: 1.695199 eta: 10:09:43 batch_cost: 0.6331 data_cost: 0.0003 ips: 63.1838 images/s
[07/29 00:49:21] ppdet.engine INFO: Epoch: [249] [360/732] learning_rate: 0.018646 loss_vfl: 0.965765 loss_bbox: 0.466965 loss_dfl: 0.435738 loss: 1.866818 eta: 10:09:22 batch_cost: 0.6155 data_cost: 0.0005 ips: 64.9929 images/s
[07/29 00:49:36] ppdet.engine INFO: Epoch: [249] [380/732] learning_rate: 0.018639 loss_vfl: 0.875383 loss_bbox: 0.452153 loss_dfl: 0.403497 loss: 1.698481 eta: 10:09:00 batch_cost: 0.6262 data_cost: 0.0008 ips: 63.8779 images/s
[07/29 00:49:51] ppdet.engine INFO: Epoch: [249] [400/732] learning_rate: 0.018632 loss_vfl: 0.891315 loss_bbox: 0.448268 loss_dfl: 0.402547 loss: 1.770235 eta: 10:08:39 batch_cost: 0.6369 data_cost: 0.0007 ips: 62.8000 images/s
[07/29 00:50:06] ppdet.engine INFO: Epoch: [249] [420/732] learning_rate: 0.018625 loss_vfl: 0.902617 loss_bbox: 0.428294 loss_dfl: 0.396061 loss: 1.711037 eta: 10:08:18 batch_cost: 0.6508 data_cost: 0.0008 ips: 61.4636 images/s
[07/29 00:50:21] ppdet.engine INFO: Epoch: [249] [440/732] learning_rate: 0.018618 loss_vfl: 0.945514 loss_bbox: 0.452698 loss_dfl: 0.422788 loss: 1.785946 eta: 10:07:57 batch_cost: 0.6151 data_cost: 0.0007 ips: 65.0296 images/s
[07/29 00:50:36] ppdet.engine INFO: Epoch: [249] [460/732] learning_rate: 0.018611 loss_vfl: 0.906168 loss_bbox: 0.459100 loss_dfl: 0.416581 loss: 1.790258 eta: 10:07:35 batch_cost: 0.5926 data_cost: 0.0003 ips: 67.5007 images/s
[07/29 00:50:51] ppdet.engine INFO: Epoch: [249] [480/732] learning_rate: 0.018604 loss_vfl: 0.951851 loss_bbox: 0.457444 loss_dfl: 0.423630 loss: 1.830150 eta: 10:07:14 batch_cost: 0.5971 data_cost: 0.0010 ips: 66.9875 images/s
[07/29 00:51:06] ppdet.engine INFO: Epoch: [249] [500/732] learning_rate: 0.018597 loss_vfl: 0.928961 loss_bbox: 0.453511 loss_dfl: 0.419581 loss: 1.811596 eta: 10:06:53 batch_cost: 0.6089 data_cost: 0.0018 ips: 65.6876 images/s
[07/29 00:51:21] ppdet.engine INFO: Epoch: [249] [520/732] learning_rate: 0.018590 loss_vfl: 0.889991 loss_bbox: 0.444856 loss_dfl: 0.403878 loss: 1.736315 eta: 10:06:31 batch_cost: 0.6363 data_cost: 0.0009 ips: 62.8606 images/s
[07/29 00:51:36] ppdet.engine INFO: Epoch: [249] [540/732] learning_rate: 0.018583 loss_vfl: 0.901622 loss_bbox: 0.446835 loss_dfl: 0.412005 loss: 1.766742 eta: 10:06:10 batch_cost: 0.6073 data_cost: 0.0003 ips: 65.8640 images/s
[07/29 00:51:52] ppdet.engine INFO: Epoch: [249] [560/732] learning_rate: 0.018576 loss_vfl: 0.889045 loss_bbox: 0.436256 loss_dfl: 0.406592 loss: 1.744696 eta: 10:05:49 batch_cost: 0.6307 data_cost: 0.0013 ips: 63.4184 images/s
[07/29 00:52:08] ppdet.engine INFO: Epoch: [249] [580/732] learning_rate: 0.018569 loss_vfl: 0.938029 loss_bbox: 0.480319 loss_dfl: 0.420903 loss: 1.842269 eta: 10:05:28 batch_cost: 0.6378 data_cost: 0.0013 ips: 62.7125 images/s
[07/29 00:52:23] ppdet.engine INFO: Epoch: [249] [600/732] learning_rate: 0.018562 loss_vfl: 0.870028 loss_bbox: 0.438491 loss_dfl: 0.410265 loss: 1.730991 eta: 10:05:06 batch_cost: 0.5940 data_cost: 0.0003 ips: 67.3413 images/s
[07/29 00:52:37] ppdet.engine INFO: Epoch: [249] [620/732] learning_rate: 0.018555 loss_vfl: 0.904267 loss_bbox: 0.438451 loss_dfl: 0.408140 loss: 1.746636 eta: 10:04:45 batch_cost: 0.5847 data_cost: 0.0003 ips: 68.4151 images/s
[07/29 00:52:52] ppdet.engine INFO: Epoch: [249] [640/732] learning_rate: 0.018548 loss_vfl: 0.922641 loss_bbox: 0.460589 loss_dfl: 0.428662 loss: 1.817890 eta: 10:04:24 batch_cost: 0.6494 data_cost: 0.0029 ips: 61.5929 images/s
[07/29 00:53:07] ppdet.engine INFO: Epoch: [249] [660/732] learning_rate: 0.018542 loss_vfl: 0.909006 loss_bbox: 0.458474 loss_dfl: 0.402559 loss: 1.763833 eta: 10:04:03 batch_cost: 0.5788 data_cost: 0.0022 ips: 69.1104 images/s
[07/29 00:53:23] ppdet.engine INFO: Epoch: [249] [680/732] learning_rate: 0.018535 loss_vfl: 0.954474 loss_bbox: 0.463025 loss_dfl: 0.430720 loss: 1.867074 eta: 10:03:41 batch_cost: 0.6675 data_cost: 0.0003 ips: 59.9248 images/s
[07/29 00:53:39] ppdet.engine INFO: Epoch: [249] [700/732] learning_rate: 0.018528 loss_vfl: 0.903846 loss_bbox: 0.448136 loss_dfl: 0.410480 loss: 1.768942 eta: 10:03:20 batch_cost: 0.6428 data_cost: 0.0003 ips: 62.2301 images/s
[07/29 00:53:54] ppdet.engine INFO: Epoch: [249] [720/732] learning_rate: 0.018521 loss_vfl: 0.912859 loss_bbox: 0.470008 loss_dfl: 0.420479 loss: 1.807942 eta: 10:02:59 batch_cost: 0.6011 data_cost: 0.0018 ips: 66.5418 images/s
[07/29 00:54:01] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 00:54:01] ppdet.engine INFO: Eval iter: 0
[07/29 00:54:16] ppdet.engine INFO: Eval iter: 100
[07/29 00:54:25] ppdet.engine INFO: Eval iter: 200
[07/29 00:54:34] ppdet.engine INFO: Eval iter: 300
[07/29 00:54:42] ppdet.engine INFO: Eval iter: 400
[07/29 00:54:51] ppdet.engine INFO: Eval iter: 500
[07/29 00:55:00] ppdet.engine INFO: Eval iter: 600
[07/29 00:55:16] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.65s)
creating index...
index created!
[07/29 00:55:17] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.59s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=99.55s).
Accumulating evaluation results...
DONE (t=18.06s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.299
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.440
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.317
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.109
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.319
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.460
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.275
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.449
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.480
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.219
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.534
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.714
[07/29 00:57:21] ppdet.engine INFO: Total sample number: 4952, averge FPS: 80.48995085926931
[07/29 00:57:21] ppdet.engine INFO: Best test bbox ap is 0.299.
[07/29 00:57:21] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 00:57:22] ppdet.engine INFO: Epoch: [250] [  0/732] learning_rate: 0.018517 loss_vfl: 0.956789 loss_bbox: 0.474104 loss_dfl: 0.437701 loss: 1.896461 eta: 10:02:46 batch_cost: 0.4973 data_cost: 0.0009 ips: 80.4349 images/s
[07/29 00:57:38] ppdet.engine INFO: Epoch: [250] [ 20/732] learning_rate: 0.018510 loss_vfl: 0.882214 loss_bbox: 0.430336 loss_dfl: 0.396697 loss: 1.700652 eta: 10:02:25 batch_cost: 0.6296 data_cost: 0.0003 ips: 63.5363 images/s
[07/29 00:57:53] ppdet.engine INFO: Epoch: [250] [ 40/732] learning_rate: 0.018503 loss_vfl: 0.930938 loss_bbox: 0.457114 loss_dfl: 0.423869 loss: 1.807768 eta: 10:02:03 batch_cost: 0.6251 data_cost: 0.0003 ips: 63.9901 images/s
[07/29 00:58:09] ppdet.engine INFO: Epoch: [250] [ 60/732] learning_rate: 0.018496 loss_vfl: 0.920466 loss_bbox: 0.445888 loss_dfl: 0.434742 loss: 1.834195 eta: 10:01:42 batch_cost: 0.6410 data_cost: 0.0002 ips: 62.3996 images/s
[07/29 00:58:25] ppdet.engine INFO: Epoch: [250] [ 80/732] learning_rate: 0.018490 loss_vfl: 0.953723 loss_bbox: 0.456760 loss_dfl: 0.426909 loss: 1.834238 eta: 10:01:21 batch_cost: 0.6840 data_cost: 0.0018 ips: 58.4818 images/s
[07/29 00:58:41] ppdet.engine INFO: Epoch: [250] [100/732] learning_rate: 0.018483 loss_vfl: 0.864420 loss_bbox: 0.418790 loss_dfl: 0.394637 loss: 1.693890 eta: 10:01:00 batch_cost: 0.6631 data_cost: 0.0021 ips: 60.3185 images/s
[07/29 00:58:58] ppdet.engine INFO: Epoch: [250] [120/732] learning_rate: 0.018476 loss_vfl: 0.949259 loss_bbox: 0.479621 loss_dfl: 0.436163 loss: 1.865538 eta: 10:00:39 batch_cost: 0.7227 data_cost: 0.0011 ips: 55.3449 images/s
[07/29 00:59:14] ppdet.engine INFO: Epoch: [250] [140/732] learning_rate: 0.018469 loss_vfl: 0.878134 loss_bbox: 0.429159 loss_dfl: 0.401601 loss: 1.717839 eta: 10:00:18 batch_cost: 0.6534 data_cost: 0.0003 ips: 61.2210 images/s
[07/29 00:59:29] ppdet.engine INFO: Epoch: [250] [160/732] learning_rate: 0.018462 loss_vfl: 0.882781 loss_bbox: 0.460133 loss_dfl: 0.411227 loss: 1.751189 eta: 9:59:57 batch_cost: 0.6472 data_cost: 0.0011 ips: 61.8042 images/s
[07/29 00:59:44] ppdet.engine INFO: Epoch: [250] [180/732] learning_rate: 0.018456 loss_vfl: 0.882104 loss_bbox: 0.447314 loss_dfl: 0.409748 loss: 1.747078 eta: 9:59:36 batch_cost: 0.5869 data_cost: 0.0004 ips: 68.1512 images/s
[07/29 00:59:59] ppdet.engine INFO: Epoch: [250] [200/732] learning_rate: 0.018449 loss_vfl: 0.918956 loss_bbox: 0.462358 loss_dfl: 0.421206 loss: 1.782139 eta: 9:59:15 batch_cost: 0.6426 data_cost: 0.0010 ips: 62.2517 images/s
[07/29 01:00:15] ppdet.engine INFO: Epoch: [250] [220/732] learning_rate: 0.018442 loss_vfl: 0.879932 loss_bbox: 0.445702 loss_dfl: 0.402788 loss: 1.725360 eta: 9:58:54 batch_cost: 0.6758 data_cost: 0.0004 ips: 59.1920 images/s
[07/29 01:00:30] ppdet.engine INFO: Epoch: [250] [240/732] learning_rate: 0.018435 loss_vfl: 0.915456 loss_bbox: 0.440748 loss_dfl: 0.419083 loss: 1.766207 eta: 9:58:33 batch_cost: 0.6260 data_cost: 0.0062 ips: 63.8948 images/s
[07/29 01:00:45] ppdet.engine INFO: Epoch: [250] [260/732] learning_rate: 0.018429 loss_vfl: 0.929895 loss_bbox: 0.465745 loss_dfl: 0.426895 loss: 1.818820 eta: 9:58:11 batch_cost: 0.6131 data_cost: 0.0016 ips: 65.2460 images/s
[07/29 01:01:02] ppdet.engine INFO: Epoch: [250] [280/732] learning_rate: 0.018422 loss_vfl: 0.879784 loss_bbox: 0.421499 loss_dfl: 0.399206 loss: 1.674439 eta: 9:57:50 batch_cost: 0.7036 data_cost: 0.0003 ips: 56.8515 images/s
[07/29 01:01:17] ppdet.engine INFO: Epoch: [250] [300/732] learning_rate: 0.018415 loss_vfl: 0.928625 loss_bbox: 0.461718 loss_dfl: 0.416790 loss: 1.799513 eta: 9:57:29 batch_cost: 0.6101 data_cost: 0.0010 ips: 65.5652 images/s
[07/29 01:01:33] ppdet.engine INFO: Epoch: [250] [320/732] learning_rate: 0.018409 loss_vfl: 0.929523 loss_bbox: 0.454241 loss_dfl: 0.420591 loss: 1.796367 eta: 9:57:08 batch_cost: 0.6763 data_cost: 0.0010 ips: 59.1462 images/s
[07/29 01:01:49] ppdet.engine INFO: Epoch: [250] [340/732] learning_rate: 0.018402 loss_vfl: 0.840406 loss_bbox: 0.405653 loss_dfl: 0.385182 loss: 1.672819 eta: 9:56:47 batch_cost: 0.6575 data_cost: 0.0023 ips: 60.8341 images/s
[07/29 01:02:05] ppdet.engine INFO: Epoch: [250] [360/732] learning_rate: 0.018395 loss_vfl: 0.909975 loss_bbox: 0.431795 loss_dfl: 0.414926 loss: 1.746110 eta: 9:56:26 batch_cost: 0.6770 data_cost: 0.0003 ips: 59.0829 images/s
[07/29 01:02:20] ppdet.engine INFO: Epoch: [250] [380/732] learning_rate: 0.018388 loss_vfl: 0.839695 loss_bbox: 0.433605 loss_dfl: 0.390480 loss: 1.657465 eta: 9:56:05 batch_cost: 0.6151 data_cost: 0.0028 ips: 65.0248 images/s
[07/29 01:02:35] ppdet.engine INFO: Epoch: [250] [400/732] learning_rate: 0.018382 loss_vfl: 0.893167 loss_bbox: 0.453434 loss_dfl: 0.411919 loss: 1.762904 eta: 9:55:44 batch_cost: 0.6154 data_cost: 0.0003 ips: 65.0025 images/s
[07/29 01:02:49] ppdet.engine INFO: Epoch: [250] [420/732] learning_rate: 0.018375 loss_vfl: 0.850658 loss_bbox: 0.416446 loss_dfl: 0.399397 loss: 1.671446 eta: 9:55:22 batch_cost: 0.5734 data_cost: 0.0015 ips: 69.7620 images/s
[07/29 01:03:06] ppdet.engine INFO: Epoch: [250] [440/732] learning_rate: 0.018368 loss_vfl: 0.932905 loss_bbox: 0.435684 loss_dfl: 0.417873 loss: 1.790406 eta: 9:55:01 batch_cost: 0.6748 data_cost: 0.0003 ips: 59.2794 images/s
[07/29 01:03:21] ppdet.engine INFO: Epoch: [250] [460/732] learning_rate: 0.018362 loss_vfl: 0.926114 loss_bbox: 0.445507 loss_dfl: 0.420284 loss: 1.807734 eta: 9:54:40 batch_cost: 0.6436 data_cost: 0.0007 ips: 62.1494 images/s
[07/29 01:03:36] ppdet.engine INFO: Epoch: [250] [480/732] learning_rate: 0.018355 loss_vfl: 0.916510 loss_bbox: 0.457416 loss_dfl: 0.425785 loss: 1.817484 eta: 9:54:19 batch_cost: 0.6373 data_cost: 0.0003 ips: 62.7614 images/s
[07/29 01:03:52] ppdet.engine INFO: Epoch: [250] [500/732] learning_rate: 0.018349 loss_vfl: 0.943082 loss_bbox: 0.458694 loss_dfl: 0.435133 loss: 1.816409 eta: 9:53:58 batch_cost: 0.6290 data_cost: 0.0010 ips: 63.5891 images/s
[07/29 01:04:06] ppdet.engine INFO: Epoch: [250] [520/732] learning_rate: 0.018342 loss_vfl: 0.868515 loss_bbox: 0.417733 loss_dfl: 0.386776 loss: 1.654963 eta: 9:53:37 batch_cost: 0.6190 data_cost: 0.0003 ips: 64.6251 images/s
[07/29 01:04:22] ppdet.engine INFO: Epoch: [250] [540/732] learning_rate: 0.018335 loss_vfl: 0.940377 loss_bbox: 0.453708 loss_dfl: 0.423526 loss: 1.830577 eta: 9:53:16 batch_cost: 0.6837 data_cost: 0.0003 ips: 58.5055 images/s
[07/29 01:04:38] ppdet.engine INFO: Epoch: [250] [560/732] learning_rate: 0.018329 loss_vfl: 0.904869 loss_bbox: 0.449359 loss_dfl: 0.407054 loss: 1.766296 eta: 9:52:55 batch_cost: 0.6157 data_cost: 0.0003 ips: 64.9627 images/s
[07/29 01:04:53] ppdet.engine INFO: Epoch: [250] [580/732] learning_rate: 0.018322 loss_vfl: 0.903795 loss_bbox: 0.437411 loss_dfl: 0.404586 loss: 1.741866 eta: 9:52:34 batch_cost: 0.6378 data_cost: 0.0003 ips: 62.7113 images/s
[07/29 01:05:09] ppdet.engine INFO: Epoch: [250] [600/732] learning_rate: 0.018316 loss_vfl: 0.912512 loss_bbox: 0.418789 loss_dfl: 0.411311 loss: 1.738105 eta: 9:52:12 batch_cost: 0.5958 data_cost: 0.0005 ips: 67.1390 images/s
[07/29 01:05:24] ppdet.engine INFO: Epoch: [250] [620/732] learning_rate: 0.018309 loss_vfl: 0.894815 loss_bbox: 0.426663 loss_dfl: 0.401439 loss: 1.715431 eta: 9:51:51 batch_cost: 0.6431 data_cost: 0.0003 ips: 62.1975 images/s
[07/29 01:05:40] ppdet.engine INFO: Epoch: [250] [640/732] learning_rate: 0.018303 loss_vfl: 0.895047 loss_bbox: 0.439620 loss_dfl: 0.409244 loss: 1.754294 eta: 9:51:30 batch_cost: 0.6427 data_cost: 0.0003 ips: 62.2386 images/s
[07/29 01:05:55] ppdet.engine INFO: Epoch: [250] [660/732] learning_rate: 0.018296 loss_vfl: 0.832226 loss_bbox: 0.428336 loss_dfl: 0.398796 loss: 1.675901 eta: 9:51:09 batch_cost: 0.6087 data_cost: 0.0003 ips: 65.7142 images/s
[07/29 01:06:10] ppdet.engine INFO: Epoch: [250] [680/732] learning_rate: 0.018289 loss_vfl: 0.901963 loss_bbox: 0.429221 loss_dfl: 0.408639 loss: 1.741378 eta: 9:50:48 batch_cost: 0.6421 data_cost: 0.0005 ips: 62.2956 images/s
[07/29 01:06:25] ppdet.engine INFO: Epoch: [250] [700/732] learning_rate: 0.018283 loss_vfl: 0.920019 loss_bbox: 0.456746 loss_dfl: 0.423080 loss: 1.813693 eta: 9:50:27 batch_cost: 0.6280 data_cost: 0.0013 ips: 63.6962 images/s
[07/29 01:06:41] ppdet.engine INFO: Epoch: [250] [720/732] learning_rate: 0.018276 loss_vfl: 0.888103 loss_bbox: 0.431506 loss_dfl: 0.400778 loss: 1.708784 eta: 9:50:06 batch_cost: 0.6392 data_cost: 0.0040 ips: 62.5795 images/s
[07/29 01:06:55] ppdet.engine INFO: Epoch: [251] [  0/732] learning_rate: 0.018272 loss_vfl: 0.857779 loss_bbox: 0.425829 loss_dfl: 0.378900 loss: 1.655801 eta: 9:49:54 batch_cost: 0.8074 data_cost: 0.2075 ips: 49.5401 images/s
[07/29 01:07:12] ppdet.engine INFO: Epoch: [251] [ 20/732] learning_rate: 0.018266 loss_vfl: 0.912757 loss_bbox: 0.439775 loss_dfl: 0.407004 loss: 1.747942 eta: 9:49:33 batch_cost: 0.6911 data_cost: 0.0009 ips: 57.8826 images/s
[07/29 01:07:27] ppdet.engine INFO: Epoch: [251] [ 40/732] learning_rate: 0.018259 loss_vfl: 0.928919 loss_bbox: 0.438874 loss_dfl: 0.423729 loss: 1.789539 eta: 9:49:12 batch_cost: 0.6184 data_cost: 0.0003 ips: 64.6785 images/s
[07/29 01:07:41] ppdet.engine INFO: Epoch: [251] [ 60/732] learning_rate: 0.018253 loss_vfl: 0.899435 loss_bbox: 0.447128 loss_dfl: 0.410835 loss: 1.733773 eta: 9:48:50 batch_cost: 0.5827 data_cost: 0.0010 ips: 68.6485 images/s
[07/29 01:07:56] ppdet.engine INFO: Epoch: [251] [ 80/732] learning_rate: 0.018247 loss_vfl: 0.891037 loss_bbox: 0.449656 loss_dfl: 0.418104 loss: 1.765225 eta: 9:48:29 batch_cost: 0.6349 data_cost: 0.0016 ips: 63.0033 images/s
[07/29 01:08:12] ppdet.engine INFO: Epoch: [251] [100/732] learning_rate: 0.018240 loss_vfl: 0.902020 loss_bbox: 0.428150 loss_dfl: 0.410292 loss: 1.747542 eta: 9:48:08 batch_cost: 0.6607 data_cost: 0.0012 ips: 60.5408 images/s
[07/29 01:08:26] ppdet.engine INFO: Epoch: [251] [120/732] learning_rate: 0.018234 loss_vfl: 0.892576 loss_bbox: 0.426418 loss_dfl: 0.404036 loss: 1.711468 eta: 9:47:47 batch_cost: 0.6157 data_cost: 0.0003 ips: 64.9650 images/s
[07/29 01:08:42] ppdet.engine INFO: Epoch: [251] [140/732] learning_rate: 0.018227 loss_vfl: 0.841285 loss_bbox: 0.403350 loss_dfl: 0.378988 loss: 1.605240 eta: 9:47:26 batch_cost: 0.6077 data_cost: 0.0010 ips: 65.8248 images/s
[07/29 01:08:56] ppdet.engine INFO: Epoch: [251] [160/732] learning_rate: 0.018221 loss_vfl: 0.917910 loss_bbox: 0.457781 loss_dfl: 0.419107 loss: 1.789633 eta: 9:47:04 batch_cost: 0.5819 data_cost: 0.0011 ips: 68.7425 images/s
[07/29 01:09:10] ppdet.engine INFO: Epoch: [251] [180/732] learning_rate: 0.018214 loss_vfl: 0.896148 loss_bbox: 0.468546 loss_dfl: 0.420094 loss: 1.793505 eta: 9:46:43 batch_cost: 0.5904 data_cost: 0.0003 ips: 67.7523 images/s
[07/29 01:09:24] ppdet.engine INFO: Epoch: [251] [200/732] learning_rate: 0.018208 loss_vfl: 0.882839 loss_bbox: 0.448652 loss_dfl: 0.409811 loss: 1.745091 eta: 9:46:22 batch_cost: 0.5594 data_cost: 0.0008 ips: 71.5056 images/s
[07/29 01:09:39] ppdet.engine INFO: Epoch: [251] [220/732] learning_rate: 0.018201 loss_vfl: 0.935161 loss_bbox: 0.456433 loss_dfl: 0.421077 loss: 1.810345 eta: 9:46:01 batch_cost: 0.6248 data_cost: 0.0015 ips: 64.0203 images/s
[07/29 01:09:55] ppdet.engine INFO: Epoch: [251] [240/732] learning_rate: 0.018195 loss_vfl: 0.928899 loss_bbox: 0.469243 loss_dfl: 0.418584 loss: 1.776987 eta: 9:45:40 batch_cost: 0.6702 data_cost: 0.0003 ips: 59.6851 images/s
[07/29 01:10:09] ppdet.engine INFO: Epoch: [251] [260/732] learning_rate: 0.018189 loss_vfl: 0.911095 loss_bbox: 0.451170 loss_dfl: 0.408682 loss: 1.752033 eta: 9:45:18 batch_cost: 0.5858 data_cost: 0.0003 ips: 68.2789 images/s
[07/29 01:10:23] ppdet.engine INFO: Epoch: [251] [280/732] learning_rate: 0.018182 loss_vfl: 0.896964 loss_bbox: 0.427396 loss_dfl: 0.402439 loss: 1.774599 eta: 9:44:57 batch_cost: 0.5801 data_cost: 0.0003 ips: 68.9534 images/s
[07/29 01:10:38] ppdet.engine INFO: Epoch: [251] [300/732] learning_rate: 0.018176 loss_vfl: 0.945861 loss_bbox: 0.468405 loss_dfl: 0.436698 loss: 1.874397 eta: 9:44:36 batch_cost: 0.6360 data_cost: 0.0008 ips: 62.8962 images/s
[07/29 01:10:53] ppdet.engine INFO: Epoch: [251] [320/732] learning_rate: 0.018170 loss_vfl: 0.840135 loss_bbox: 0.419588 loss_dfl: 0.391706 loss: 1.661496 eta: 9:44:15 batch_cost: 0.6455 data_cost: 0.0008 ips: 61.9704 images/s
[07/29 01:11:07] ppdet.engine INFO: Epoch: [251] [340/732] learning_rate: 0.018163 loss_vfl: 0.914694 loss_bbox: 0.443843 loss_dfl: 0.422555 loss: 1.798436 eta: 9:43:54 batch_cost: 0.5754 data_cost: 0.0011 ips: 69.5138 images/s
[07/29 01:11:23] ppdet.engine INFO: Epoch: [251] [360/732] learning_rate: 0.018157 loss_vfl: 0.893311 loss_bbox: 0.446275 loss_dfl: 0.410998 loss: 1.746115 eta: 9:43:33 batch_cost: 0.6534 data_cost: 0.0003 ips: 61.2165 images/s
[07/29 01:11:37] ppdet.engine INFO: Epoch: [251] [380/732] learning_rate: 0.018150 loss_vfl: 0.895897 loss_bbox: 0.454545 loss_dfl: 0.413239 loss: 1.744257 eta: 9:43:12 batch_cost: 0.6073 data_cost: 0.0003 ips: 65.8629 images/s
[07/29 01:11:52] ppdet.engine INFO: Epoch: [251] [400/732] learning_rate: 0.018144 loss_vfl: 0.865206 loss_bbox: 0.411706 loss_dfl: 0.393878 loss: 1.687458 eta: 9:42:51 batch_cost: 0.6487 data_cost: 0.0002 ips: 61.6580 images/s
[07/29 01:12:09] ppdet.engine INFO: Epoch: [251] [420/732] learning_rate: 0.018138 loss_vfl: 0.942240 loss_bbox: 0.433238 loss_dfl: 0.415938 loss: 1.791311 eta: 9:42:30 batch_cost: 0.6985 data_cost: 0.0003 ips: 57.2638 images/s
[07/29 01:12:24] ppdet.engine INFO: Epoch: [251] [440/732] learning_rate: 0.018132 loss_vfl: 0.837941 loss_bbox: 0.418532 loss_dfl: 0.385198 loss: 1.644592 eta: 9:42:09 batch_cost: 0.6147 data_cost: 0.0003 ips: 65.0759 images/s
[07/29 01:12:39] ppdet.engine INFO: Epoch: [251] [460/732] learning_rate: 0.018125 loss_vfl: 0.890924 loss_bbox: 0.434003 loss_dfl: 0.408200 loss: 1.764350 eta: 9:41:47 batch_cost: 0.6311 data_cost: 0.0023 ips: 63.3832 images/s
[07/29 01:12:54] ppdet.engine INFO: Epoch: [251] [480/732] learning_rate: 0.018119 loss_vfl: 0.868220 loss_bbox: 0.411161 loss_dfl: 0.394695 loss: 1.674390 eta: 9:41:26 batch_cost: 0.6196 data_cost: 0.0003 ips: 64.5564 images/s
[07/29 01:13:09] ppdet.engine INFO: Epoch: [251] [500/732] learning_rate: 0.018113 loss_vfl: 0.851192 loss_bbox: 0.418052 loss_dfl: 0.392352 loss: 1.660389 eta: 9:41:05 batch_cost: 0.5948 data_cost: 0.0003 ips: 67.2513 images/s
[07/29 01:13:23] ppdet.engine INFO: Epoch: [251] [520/732] learning_rate: 0.018106 loss_vfl: 0.903370 loss_bbox: 0.456189 loss_dfl: 0.421802 loss: 1.777067 eta: 9:40:44 batch_cost: 0.5788 data_cost: 0.0014 ips: 69.1069 images/s
[07/29 01:13:37] ppdet.engine INFO: Epoch: [251] [540/732] learning_rate: 0.018100 loss_vfl: 0.915761 loss_bbox: 0.438134 loss_dfl: 0.410679 loss: 1.796664 eta: 9:40:23 batch_cost: 0.5785 data_cost: 0.0003 ips: 69.1403 images/s
[07/29 01:13:52] ppdet.engine INFO: Epoch: [251] [560/732] learning_rate: 0.018094 loss_vfl: 0.933827 loss_bbox: 0.461567 loss_dfl: 0.421567 loss: 1.834074 eta: 9:40:01 batch_cost: 0.6162 data_cost: 0.0009 ips: 64.9128 images/s
[07/29 01:14:07] ppdet.engine INFO: Epoch: [251] [580/732] learning_rate: 0.018088 loss_vfl: 0.879999 loss_bbox: 0.415750 loss_dfl: 0.398100 loss: 1.694335 eta: 9:39:40 batch_cost: 0.6015 data_cost: 0.0009 ips: 66.5021 images/s
[07/29 01:14:21] ppdet.engine INFO: Epoch: [251] [600/732] learning_rate: 0.018081 loss_vfl: 0.857409 loss_bbox: 0.431403 loss_dfl: 0.386396 loss: 1.668970 eta: 9:39:19 batch_cost: 0.5518 data_cost: 0.0022 ips: 72.4902 images/s
[07/29 01:14:36] ppdet.engine INFO: Epoch: [251] [620/732] learning_rate: 0.018075 loss_vfl: 0.850146 loss_bbox: 0.425633 loss_dfl: 0.392508 loss: 1.665435 eta: 9:38:58 batch_cost: 0.6284 data_cost: 0.0003 ips: 63.6492 images/s
[07/29 01:14:52] ppdet.engine INFO: Epoch: [251] [640/732] learning_rate: 0.018069 loss_vfl: 0.947214 loss_bbox: 0.474423 loss_dfl: 0.436236 loss: 1.849921 eta: 9:38:37 batch_cost: 0.6075 data_cost: 0.0009 ips: 65.8489 images/s
[07/29 01:15:07] ppdet.engine INFO: Epoch: [251] [660/732] learning_rate: 0.018063 loss_vfl: 0.875733 loss_bbox: 0.408285 loss_dfl: 0.390334 loss: 1.685714 eta: 9:38:16 batch_cost: 0.6315 data_cost: 0.0028 ips: 63.3379 images/s
[07/29 01:15:22] ppdet.engine INFO: Epoch: [251] [680/732] learning_rate: 0.018057 loss_vfl: 0.931529 loss_bbox: 0.457839 loss_dfl: 0.417993 loss: 1.803304 eta: 9:37:54 batch_cost: 0.5874 data_cost: 0.0006 ips: 68.0986 images/s
[07/29 01:15:36] ppdet.engine INFO: Epoch: [251] [700/732] learning_rate: 0.018050 loss_vfl: 0.871027 loss_bbox: 0.437083 loss_dfl: 0.406536 loss: 1.720004 eta: 9:37:33 batch_cost: 0.6013 data_cost: 0.0003 ips: 66.5248 images/s
[07/29 01:15:50] ppdet.engine INFO: Epoch: [251] [720/732] learning_rate: 0.018044 loss_vfl: 0.872576 loss_bbox: 0.424005 loss_dfl: 0.401866 loss: 1.720285 eta: 9:37:12 batch_cost: 0.5843 data_cost: 0.0004 ips: 68.4549 images/s
[07/29 01:16:02] ppdet.engine INFO: Epoch: [252] [  0/732] learning_rate: 0.018040 loss_vfl: 0.890916 loss_bbox: 0.455400 loss_dfl: 0.401806 loss: 1.750310 eta: 9:37:00 batch_cost: 0.6636 data_cost: 0.1445 ips: 60.2795 images/s
[07/29 01:16:20] ppdet.engine INFO: Epoch: [252] [ 20/732] learning_rate: 0.018034 loss_vfl: 0.895483 loss_bbox: 0.456144 loss_dfl: 0.411408 loss: 1.762703 eta: 9:36:39 batch_cost: 0.6985 data_cost: 0.0009 ips: 57.2651 images/s
[07/29 01:16:35] ppdet.engine INFO: Epoch: [252] [ 40/732] learning_rate: 0.018028 loss_vfl: 0.911161 loss_bbox: 0.441596 loss_dfl: 0.386338 loss: 1.699373 eta: 9:36:18 batch_cost: 0.6223 data_cost: 0.0003 ips: 64.2735 images/s
[07/29 01:16:49] ppdet.engine INFO: Epoch: [252] [ 60/732] learning_rate: 0.018022 loss_vfl: 0.902395 loss_bbox: 0.453931 loss_dfl: 0.412298 loss: 1.783654 eta: 9:35:56 batch_cost: 0.5743 data_cost: 0.0003 ips: 69.6534 images/s
[07/29 01:17:05] ppdet.engine INFO: Epoch: [252] [ 80/732] learning_rate: 0.018016 loss_vfl: 0.867197 loss_bbox: 0.447407 loss_dfl: 0.412764 loss: 1.725025 eta: 9:35:35 batch_cost: 0.6285 data_cost: 0.0003 ips: 63.6429 images/s
[07/29 01:17:19] ppdet.engine INFO: Epoch: [252] [100/732] learning_rate: 0.018010 loss_vfl: 0.899900 loss_bbox: 0.446934 loss_dfl: 0.411624 loss: 1.755605 eta: 9:35:14 batch_cost: 0.5896 data_cost: 0.0016 ips: 67.8439 images/s
[07/29 01:17:35] ppdet.engine INFO: Epoch: [252] [120/732] learning_rate: 0.018004 loss_vfl: 0.926283 loss_bbox: 0.444320 loss_dfl: 0.419091 loss: 1.786723 eta: 9:34:53 batch_cost: 0.6174 data_cost: 0.0004 ips: 64.7922 images/s
[07/29 01:17:49] ppdet.engine INFO: Epoch: [252] [140/732] learning_rate: 0.017997 loss_vfl: 0.882980 loss_bbox: 0.430294 loss_dfl: 0.403806 loss: 1.695899 eta: 9:34:32 batch_cost: 0.5680 data_cost: 0.0010 ips: 70.4268 images/s
[07/29 01:18:04] ppdet.engine INFO: Epoch: [252] [160/732] learning_rate: 0.017991 loss_vfl: 0.938652 loss_bbox: 0.436563 loss_dfl: 0.414026 loss: 1.787499 eta: 9:34:10 batch_cost: 0.5590 data_cost: 0.0003 ips: 71.5580 images/s
[07/29 01:18:18] ppdet.engine INFO: Epoch: [252] [180/732] learning_rate: 0.017985 loss_vfl: 0.872035 loss_bbox: 0.444101 loss_dfl: 0.395758 loss: 1.699787 eta: 9:33:49 batch_cost: 0.5931 data_cost: 0.0009 ips: 67.4427 images/s
[07/29 01:18:33] ppdet.engine INFO: Epoch: [252] [200/732] learning_rate: 0.017979 loss_vfl: 0.842087 loss_bbox: 0.403093 loss_dfl: 0.377962 loss: 1.632256 eta: 9:33:28 batch_cost: 0.6074 data_cost: 0.0004 ips: 65.8495 images/s
[07/29 01:18:48] ppdet.engine INFO: Epoch: [252] [220/732] learning_rate: 0.017973 loss_vfl: 0.917274 loss_bbox: 0.434016 loss_dfl: 0.403901 loss: 1.765303 eta: 9:33:07 batch_cost: 0.6565 data_cost: 0.0003 ips: 60.9304 images/s
[07/29 01:19:04] ppdet.engine INFO: Epoch: [252] [240/732] learning_rate: 0.017967 loss_vfl: 0.917846 loss_bbox: 0.433173 loss_dfl: 0.403531 loss: 1.767765 eta: 9:32:46 batch_cost: 0.6298 data_cost: 0.0009 ips: 63.5173 images/s
[07/29 01:19:19] ppdet.engine INFO: Epoch: [252] [260/732] learning_rate: 0.017961 loss_vfl: 0.881096 loss_bbox: 0.425065 loss_dfl: 0.397170 loss: 1.686549 eta: 9:32:25 batch_cost: 0.6148 data_cost: 0.0003 ips: 65.0597 images/s
[07/29 01:19:35] ppdet.engine INFO: Epoch: [252] [280/732] learning_rate: 0.017955 loss_vfl: 0.843849 loss_bbox: 0.408772 loss_dfl: 0.386099 loss: 1.631298 eta: 9:32:04 batch_cost: 0.6488 data_cost: 0.0016 ips: 61.6484 images/s
[07/29 01:19:49] ppdet.engine INFO: Epoch: [252] [300/732] learning_rate: 0.017949 loss_vfl: 0.912553 loss_bbox: 0.461810 loss_dfl: 0.422379 loss: 1.814764 eta: 9:31:43 batch_cost: 0.5536 data_cost: 0.0005 ips: 72.2490 images/s
[07/29 01:20:04] ppdet.engine INFO: Epoch: [252] [320/732] learning_rate: 0.017943 loss_vfl: 0.900825 loss_bbox: 0.435585 loss_dfl: 0.408848 loss: 1.759793 eta: 9:31:22 batch_cost: 0.6189 data_cost: 0.0003 ips: 64.6312 images/s
[07/29 01:20:18] ppdet.engine INFO: Epoch: [252] [340/732] learning_rate: 0.017937 loss_vfl: 0.874721 loss_bbox: 0.421459 loss_dfl: 0.389465 loss: 1.727823 eta: 9:31:01 batch_cost: 0.6086 data_cost: 0.0003 ips: 65.7231 images/s
[07/29 01:20:34] ppdet.engine INFO: Epoch: [252] [360/732] learning_rate: 0.017931 loss_vfl: 0.875056 loss_bbox: 0.438018 loss_dfl: 0.390018 loss: 1.690483 eta: 9:30:40 batch_cost: 0.6447 data_cost: 0.0042 ips: 62.0450 images/s
[07/29 01:20:50] ppdet.engine INFO: Epoch: [252] [380/732] learning_rate: 0.017925 loss_vfl: 0.896041 loss_bbox: 0.412181 loss_dfl: 0.406025 loss: 1.720947 eta: 9:30:19 batch_cost: 0.6452 data_cost: 0.0006 ips: 61.9950 images/s
[07/29 01:21:05] ppdet.engine INFO: Epoch: [252] [400/732] learning_rate: 0.017919 loss_vfl: 0.918317 loss_bbox: 0.435413 loss_dfl: 0.416267 loss: 1.787657 eta: 9:29:58 batch_cost: 0.6030 data_cost: 0.0003 ips: 66.3319 images/s
[07/29 01:21:19] ppdet.engine INFO: Epoch: [252] [420/732] learning_rate: 0.017913 loss_vfl: 0.916054 loss_bbox: 0.450157 loss_dfl: 0.421313 loss: 1.779523 eta: 9:29:36 batch_cost: 0.5995 data_cost: 0.0014 ips: 66.7214 images/s
[07/29 01:21:36] ppdet.engine INFO: Epoch: [252] [440/732] learning_rate: 0.017907 loss_vfl: 0.934212 loss_bbox: 0.444711 loss_dfl: 0.424738 loss: 1.810028 eta: 9:29:16 batch_cost: 0.6951 data_cost: 0.0011 ips: 57.5430 images/s
[07/29 01:21:52] ppdet.engine INFO: Epoch: [252] [460/732] learning_rate: 0.017901 loss_vfl: 0.920669 loss_bbox: 0.448283 loss_dfl: 0.412071 loss: 1.781314 eta: 9:28:55 batch_cost: 0.6539 data_cost: 0.0003 ips: 61.1704 images/s
[07/29 01:22:07] ppdet.engine INFO: Epoch: [252] [480/732] learning_rate: 0.017895 loss_vfl: 0.915637 loss_bbox: 0.457897 loss_dfl: 0.412115 loss: 1.781381 eta: 9:28:34 batch_cost: 0.6140 data_cost: 0.0015 ips: 65.1515 images/s
[07/29 01:22:21] ppdet.engine INFO: Epoch: [252] [500/732] learning_rate: 0.017889 loss_vfl: 0.948209 loss_bbox: 0.461494 loss_dfl: 0.422327 loss: 1.836189 eta: 9:28:12 batch_cost: 0.5448 data_cost: 0.0008 ips: 73.4267 images/s
[07/29 01:22:36] ppdet.engine INFO: Epoch: [252] [520/732] learning_rate: 0.017883 loss_vfl: 0.952410 loss_bbox: 0.476453 loss_dfl: 0.438980 loss: 1.880176 eta: 9:27:51 batch_cost: 0.6151 data_cost: 0.0021 ips: 65.0327 images/s
[07/29 01:22:51] ppdet.engine INFO: Epoch: [252] [540/732] learning_rate: 0.017877 loss_vfl: 0.907372 loss_bbox: 0.437990 loss_dfl: 0.412748 loss: 1.770343 eta: 9:27:30 batch_cost: 0.6094 data_cost: 0.0010 ips: 65.6430 images/s
[07/29 01:23:04] ppdet.engine INFO: Epoch: [252] [560/732] learning_rate: 0.017871 loss_vfl: 0.838210 loss_bbox: 0.407403 loss_dfl: 0.387832 loss: 1.640772 eta: 9:27:09 batch_cost: 0.5504 data_cost: 0.0003 ips: 72.6701 images/s
[07/29 01:23:20] ppdet.engine INFO: Epoch: [252] [580/732] learning_rate: 0.017865 loss_vfl: 0.864432 loss_bbox: 0.435798 loss_dfl: 0.393089 loss: 1.687861 eta: 9:26:48 batch_cost: 0.6103 data_cost: 0.0003 ips: 65.5388 images/s
[07/29 01:23:35] ppdet.engine INFO: Epoch: [252] [600/732] learning_rate: 0.017859 loss_vfl: 0.894925 loss_bbox: 0.431928 loss_dfl: 0.405964 loss: 1.731998 eta: 9:26:27 batch_cost: 0.6251 data_cost: 0.0003 ips: 63.9938 images/s
[07/29 01:23:50] ppdet.engine INFO: Epoch: [252] [620/732] learning_rate: 0.017854 loss_vfl: 0.908987 loss_bbox: 0.451822 loss_dfl: 0.416577 loss: 1.796990 eta: 9:26:06 batch_cost: 0.6360 data_cost: 0.0003 ips: 62.8960 images/s
[07/29 01:24:05] ppdet.engine INFO: Epoch: [252] [640/732] learning_rate: 0.017848 loss_vfl: 0.903499 loss_bbox: 0.447632 loss_dfl: 0.413846 loss: 1.766608 eta: 9:25:45 batch_cost: 0.5732 data_cost: 0.0012 ips: 69.7890 images/s
[07/29 01:24:19] ppdet.engine INFO: Epoch: [252] [660/732] learning_rate: 0.017842 loss_vfl: 0.880611 loss_bbox: 0.436268 loss_dfl: 0.396361 loss: 1.696731 eta: 9:25:23 batch_cost: 0.6145 data_cost: 0.0004 ips: 65.0960 images/s
[07/29 01:24:35] ppdet.engine INFO: Epoch: [252] [680/732] learning_rate: 0.017836 loss_vfl: 0.917263 loss_bbox: 0.463858 loss_dfl: 0.419643 loss: 1.790781 eta: 9:25:02 batch_cost: 0.5895 data_cost: 0.0008 ips: 67.8525 images/s
[07/29 01:24:51] ppdet.engine INFO: Epoch: [252] [700/732] learning_rate: 0.017830 loss_vfl: 0.882202 loss_bbox: 0.447246 loss_dfl: 0.410200 loss: 1.755191 eta: 9:24:42 batch_cost: 0.6753 data_cost: 0.0022 ips: 59.2353 images/s
[07/29 01:25:07] ppdet.engine INFO: Epoch: [252] [720/732] learning_rate: 0.017824 loss_vfl: 0.915588 loss_bbox: 0.434237 loss_dfl: 0.404995 loss: 1.752632 eta: 9:24:20 batch_cost: 0.6096 data_cost: 0.0015 ips: 65.6163 images/s
[07/29 01:25:20] ppdet.engine INFO: Epoch: [253] [  0/732] learning_rate: 0.017821 loss_vfl: 0.914409 loss_bbox: 0.434404 loss_dfl: 0.406132 loss: 1.729055 eta: 9:24:08 batch_cost: 0.7980 data_cost: 0.2097 ips: 50.1272 images/s
[07/29 01:25:40] ppdet.engine INFO: Epoch: [253] [ 20/732] learning_rate: 0.017815 loss_vfl: 0.874217 loss_bbox: 0.412502 loss_dfl: 0.398320 loss: 1.685186 eta: 9:23:48 batch_cost: 0.8039 data_cost: 0.0386 ips: 49.7565 images/s
[07/29 01:25:55] ppdet.engine INFO: Epoch: [253] [ 40/732] learning_rate: 0.017809 loss_vfl: 0.905920 loss_bbox: 0.453401 loss_dfl: 0.414254 loss: 1.781496 eta: 9:23:27 batch_cost: 0.6144 data_cost: 0.0003 ips: 65.1019 images/s
[07/29 01:26:10] ppdet.engine INFO: Epoch: [253] [ 60/732] learning_rate: 0.017803 loss_vfl: 0.879323 loss_bbox: 0.445408 loss_dfl: 0.413208 loss: 1.747675 eta: 9:23:06 batch_cost: 0.6395 data_cost: 0.0012 ips: 62.5475 images/s
[07/29 01:26:26] ppdet.engine INFO: Epoch: [253] [ 80/732] learning_rate: 0.017797 loss_vfl: 0.887024 loss_bbox: 0.426035 loss_dfl: 0.394275 loss: 1.710188 eta: 9:22:45 batch_cost: 0.6043 data_cost: 0.0003 ips: 66.1916 images/s
[07/29 01:26:42] ppdet.engine INFO: Epoch: [253] [100/732] learning_rate: 0.017792 loss_vfl: 0.893148 loss_bbox: 0.436997 loss_dfl: 0.403752 loss: 1.730866 eta: 9:22:24 batch_cost: 0.6203 data_cost: 0.0004 ips: 64.4852 images/s
[07/29 01:26:58] ppdet.engine INFO: Epoch: [253] [120/732] learning_rate: 0.017786 loss_vfl: 0.909148 loss_bbox: 0.453829 loss_dfl: 0.410734 loss: 1.744043 eta: 9:22:03 batch_cost: 0.6688 data_cost: 0.0003 ips: 59.8086 images/s
[07/29 01:27:13] ppdet.engine INFO: Epoch: [253] [140/732] learning_rate: 0.017780 loss_vfl: 0.880623 loss_bbox: 0.426286 loss_dfl: 0.406298 loss: 1.745071 eta: 9:21:42 batch_cost: 0.6498 data_cost: 0.0003 ips: 61.5570 images/s
[07/29 01:27:28] ppdet.engine INFO: Epoch: [253] [160/732] learning_rate: 0.017774 loss_vfl: 0.883958 loss_bbox: 0.424264 loss_dfl: 0.405056 loss: 1.681667 eta: 9:21:21 batch_cost: 0.6121 data_cost: 0.0009 ips: 65.3481 images/s
[07/29 01:27:44] ppdet.engine INFO: Epoch: [253] [180/732] learning_rate: 0.017769 loss_vfl: 0.865479 loss_bbox: 0.433248 loss_dfl: 0.400041 loss: 1.717559 eta: 9:21:00 batch_cost: 0.6522 data_cost: 0.0003 ips: 61.3348 images/s
[07/29 01:27:58] ppdet.engine INFO: Epoch: [253] [200/732] learning_rate: 0.017763 loss_vfl: 0.874030 loss_bbox: 0.430102 loss_dfl: 0.395055 loss: 1.697379 eta: 9:20:39 batch_cost: 0.5475 data_cost: 0.0017 ips: 73.0539 images/s
[07/29 01:28:13] ppdet.engine INFO: Epoch: [253] [220/732] learning_rate: 0.017757 loss_vfl: 0.884320 loss_bbox: 0.420575 loss_dfl: 0.400985 loss: 1.720894 eta: 9:20:18 batch_cost: 0.6550 data_cost: 0.0004 ips: 61.0663 images/s
[07/29 01:28:29] ppdet.engine INFO: Epoch: [253] [240/732] learning_rate: 0.017751 loss_vfl: 0.884487 loss_bbox: 0.448780 loss_dfl: 0.410919 loss: 1.756159 eta: 9:19:57 batch_cost: 0.6776 data_cost: 0.0010 ips: 59.0328 images/s
[07/29 01:28:45] ppdet.engine INFO: Epoch: [253] [260/732] learning_rate: 0.017746 loss_vfl: 0.924950 loss_bbox: 0.464574 loss_dfl: 0.415788 loss: 1.799445 eta: 9:19:36 batch_cost: 0.6098 data_cost: 0.0004 ips: 65.5916 images/s
[07/29 01:29:01] ppdet.engine INFO: Epoch: [253] [280/732] learning_rate: 0.017740 loss_vfl: 0.876489 loss_bbox: 0.439920 loss_dfl: 0.389519 loss: 1.705185 eta: 9:19:15 batch_cost: 0.6143 data_cost: 0.0003 ips: 65.1148 images/s
[07/29 01:29:16] ppdet.engine INFO: Epoch: [253] [300/732] learning_rate: 0.017734 loss_vfl: 0.860707 loss_bbox: 0.434632 loss_dfl: 0.401168 loss: 1.719889 eta: 9:18:54 batch_cost: 0.6421 data_cost: 0.0003 ips: 62.2998 images/s
[07/29 01:29:32] ppdet.engine INFO: Epoch: [253] [320/732] learning_rate: 0.017729 loss_vfl: 0.877214 loss_bbox: 0.428319 loss_dfl: 0.399406 loss: 1.726926 eta: 9:18:34 batch_cost: 0.6535 data_cost: 0.0003 ips: 61.2119 images/s
[07/29 01:29:47] ppdet.engine INFO: Epoch: [253] [340/732] learning_rate: 0.017723 loss_vfl: 0.901194 loss_bbox: 0.452910 loss_dfl: 0.404844 loss: 1.744050 eta: 9:18:12 batch_cost: 0.5991 data_cost: 0.0003 ips: 66.7676 images/s
[07/29 01:30:02] ppdet.engine INFO: Epoch: [253] [360/732] learning_rate: 0.017717 loss_vfl: 0.846568 loss_bbox: 0.404091 loss_dfl: 0.377518 loss: 1.615505 eta: 9:17:51 batch_cost: 0.5850 data_cost: 0.0003 ips: 68.3795 images/s
[07/29 01:30:17] ppdet.engine INFO: Epoch: [253] [380/732] learning_rate: 0.017712 loss_vfl: 0.949355 loss_bbox: 0.487941 loss_dfl: 0.451941 loss: 1.880210 eta: 9:17:30 batch_cost: 0.5971 data_cost: 0.0018 ips: 66.9951 images/s
[07/29 01:30:32] ppdet.engine INFO: Epoch: [253] [400/732] learning_rate: 0.017706 loss_vfl: 0.926163 loss_bbox: 0.462611 loss_dfl: 0.425033 loss: 1.796132 eta: 9:17:09 batch_cost: 0.6138 data_cost: 0.0003 ips: 65.1669 images/s
[07/29 01:30:48] ppdet.engine INFO: Epoch: [253] [420/732] learning_rate: 0.017700 loss_vfl: 0.895749 loss_bbox: 0.439124 loss_dfl: 0.415218 loss: 1.765667 eta: 9:16:49 batch_cost: 0.6948 data_cost: 0.0017 ips: 57.5676 images/s
[07/29 01:31:03] ppdet.engine INFO: Epoch: [253] [440/732] learning_rate: 0.017695 loss_vfl: 0.911501 loss_bbox: 0.446193 loss_dfl: 0.408345 loss: 1.773637 eta: 9:16:28 batch_cost: 0.6248 data_cost: 0.0003 ips: 64.0255 images/s
[07/29 01:31:19] ppdet.engine INFO: Epoch: [253] [460/732] learning_rate: 0.017689 loss_vfl: 0.947612 loss_bbox: 0.456981 loss_dfl: 0.434639 loss: 1.840101 eta: 9:16:07 batch_cost: 0.6567 data_cost: 0.0003 ips: 60.9073 images/s
[07/29 01:31:35] ppdet.engine INFO: Epoch: [253] [480/732] learning_rate: 0.017683 loss_vfl: 0.856312 loss_bbox: 0.428416 loss_dfl: 0.388711 loss: 1.682353 eta: 9:15:46 batch_cost: 0.6451 data_cost: 0.0003 ips: 62.0100 images/s
[07/29 01:31:50] ppdet.engine INFO: Epoch: [253] [500/732] learning_rate: 0.017678 loss_vfl: 0.944085 loss_bbox: 0.444922 loss_dfl: 0.419637 loss: 1.817922 eta: 9:15:25 batch_cost: 0.6849 data_cost: 0.0010 ips: 58.4012 images/s
[07/29 01:32:05] ppdet.engine INFO: Epoch: [253] [520/732] learning_rate: 0.017672 loss_vfl: 0.919884 loss_bbox: 0.429708 loss_dfl: 0.395250 loss: 1.723875 eta: 9:15:04 batch_cost: 0.6317 data_cost: 0.0003 ips: 63.3191 images/s
[07/29 01:32:22] ppdet.engine INFO: Epoch: [253] [540/732] learning_rate: 0.017667 loss_vfl: 0.884340 loss_bbox: 0.409844 loss_dfl: 0.379724 loss: 1.660625 eta: 9:14:43 batch_cost: 0.6719 data_cost: 0.0016 ips: 59.5339 images/s
[07/29 01:32:36] ppdet.engine INFO: Epoch: [253] [560/732] learning_rate: 0.017661 loss_vfl: 0.944580 loss_bbox: 0.450917 loss_dfl: 0.431277 loss: 1.844141 eta: 9:14:22 batch_cost: 0.5663 data_cost: 0.0011 ips: 70.6385 images/s
[07/29 01:32:51] ppdet.engine INFO: Epoch: [253] [580/732] learning_rate: 0.017655 loss_vfl: 0.897593 loss_bbox: 0.426951 loss_dfl: 0.411339 loss: 1.757810 eta: 9:14:01 batch_cost: 0.6304 data_cost: 0.0014 ips: 63.4525 images/s
[07/29 01:33:07] ppdet.engine INFO: Epoch: [253] [600/732] learning_rate: 0.017650 loss_vfl: 0.890069 loss_bbox: 0.420862 loss_dfl: 0.394405 loss: 1.711180 eta: 9:13:40 batch_cost: 0.6693 data_cost: 0.0006 ips: 59.7642 images/s
[07/29 01:33:22] ppdet.engine INFO: Epoch: [253] [620/732] learning_rate: 0.017644 loss_vfl: 0.897912 loss_bbox: 0.447216 loss_dfl: 0.406124 loss: 1.730085 eta: 9:13:19 batch_cost: 0.6162 data_cost: 0.0007 ips: 64.9160 images/s
[07/29 01:33:38] ppdet.engine INFO: Epoch: [253] [640/732] learning_rate: 0.017639 loss_vfl: 0.906733 loss_bbox: 0.447493 loss_dfl: 0.425732 loss: 1.780854 eta: 9:12:59 batch_cost: 0.6687 data_cost: 0.0010 ips: 59.8137 images/s
[07/29 01:33:54] ppdet.engine INFO: Epoch: [253] [660/732] learning_rate: 0.017633 loss_vfl: 0.917219 loss_bbox: 0.444668 loss_dfl: 0.422176 loss: 1.798503 eta: 9:12:38 batch_cost: 0.6407 data_cost: 0.0025 ips: 62.4306 images/s
[07/29 01:34:09] ppdet.engine INFO: Epoch: [253] [680/732] learning_rate: 0.017628 loss_vfl: 0.885415 loss_bbox: 0.430017 loss_dfl: 0.398463 loss: 1.698381 eta: 9:12:17 batch_cost: 0.6327 data_cost: 0.0008 ips: 63.2173 images/s
[07/29 01:34:25] ppdet.engine INFO: Epoch: [253] [700/732] learning_rate: 0.017622 loss_vfl: 0.823266 loss_bbox: 0.400033 loss_dfl: 0.377639 loss: 1.578186 eta: 9:11:56 batch_cost: 0.6223 data_cost: 0.0003 ips: 64.2803 images/s
[07/29 01:34:40] ppdet.engine INFO: Epoch: [253] [720/732] learning_rate: 0.017617 loss_vfl: 0.890917 loss_bbox: 0.447075 loss_dfl: 0.411872 loss: 1.757750 eta: 9:11:35 batch_cost: 0.6337 data_cost: 0.0004 ips: 63.1233 images/s
[07/29 01:34:52] ppdet.engine INFO: Epoch: [254] [  0/732] learning_rate: 0.017613 loss_vfl: 0.951382 loss_bbox: 0.468385 loss_dfl: 0.433030 loss: 1.842759 eta: 9:11:23 batch_cost: 0.7189 data_cost: 0.1645 ips: 55.6395 images/s
[07/29 01:35:10] ppdet.engine INFO: Epoch: [254] [ 20/732] learning_rate: 0.017608 loss_vfl: 0.928219 loss_bbox: 0.456404 loss_dfl: 0.419898 loss: 1.788012 eta: 9:11:02 batch_cost: 0.6830 data_cost: 0.0003 ips: 58.5628 images/s
[07/29 01:35:25] ppdet.engine INFO: Epoch: [254] [ 40/732] learning_rate: 0.017602 loss_vfl: 0.867020 loss_bbox: 0.424932 loss_dfl: 0.396734 loss: 1.702637 eta: 9:10:41 batch_cost: 0.5939 data_cost: 0.0004 ips: 67.3525 images/s
[07/29 01:35:41] ppdet.engine INFO: Epoch: [254] [ 60/732] learning_rate: 0.017597 loss_vfl: 0.908857 loss_bbox: 0.419315 loss_dfl: 0.402763 loss: 1.721626 eta: 9:10:20 batch_cost: 0.6453 data_cost: 0.0020 ips: 61.9854 images/s
[07/29 01:35:56] ppdet.engine INFO: Epoch: [254] [ 80/732] learning_rate: 0.017592 loss_vfl: 0.915259 loss_bbox: 0.437690 loss_dfl: 0.418891 loss: 1.794999 eta: 9:09:59 batch_cost: 0.6268 data_cost: 0.0005 ips: 63.8147 images/s
[07/29 01:36:12] ppdet.engine INFO: Epoch: [254] [100/732] learning_rate: 0.017586 loss_vfl: 0.855557 loss_bbox: 0.416310 loss_dfl: 0.393573 loss: 1.673353 eta: 9:09:38 batch_cost: 0.6750 data_cost: 0.0013 ips: 59.2580 images/s
[07/29 01:36:28] ppdet.engine INFO: Epoch: [254] [120/732] learning_rate: 0.017581 loss_vfl: 0.930487 loss_bbox: 0.458246 loss_dfl: 0.430279 loss: 1.840409 eta: 9:09:17 batch_cost: 0.6213 data_cost: 0.0006 ips: 64.3767 images/s
[07/29 01:36:44] ppdet.engine INFO: Epoch: [254] [140/732] learning_rate: 0.017575 loss_vfl: 0.944413 loss_bbox: 0.455658 loss_dfl: 0.415691 loss: 1.815078 eta: 9:08:57 batch_cost: 0.6510 data_cost: 0.0005 ips: 61.4473 images/s
[07/29 01:36:59] ppdet.engine INFO: Epoch: [254] [160/732] learning_rate: 0.017570 loss_vfl: 0.931601 loss_bbox: 0.463225 loss_dfl: 0.422481 loss: 1.813931 eta: 9:08:36 batch_cost: 0.6389 data_cost: 0.0011 ips: 62.6093 images/s
[07/29 01:37:13] ppdet.engine INFO: Epoch: [254] [180/732] learning_rate: 0.017564 loss_vfl: 0.879893 loss_bbox: 0.437642 loss_dfl: 0.402603 loss: 1.721245 eta: 9:08:15 batch_cost: 0.5770 data_cost: 0.0011 ips: 69.3212 images/s
[07/29 01:37:29] ppdet.engine INFO: Epoch: [254] [200/732] learning_rate: 0.017559 loss_vfl: 0.898786 loss_bbox: 0.444916 loss_dfl: 0.405037 loss: 1.746870 eta: 9:07:54 batch_cost: 0.6628 data_cost: 0.0004 ips: 60.3534 images/s
[07/29 01:37:44] ppdet.engine INFO: Epoch: [254] [220/732] learning_rate: 0.017554 loss_vfl: 0.877237 loss_bbox: 0.421969 loss_dfl: 0.403069 loss: 1.707271 eta: 9:07:33 batch_cost: 0.6562 data_cost: 0.0004 ips: 60.9529 images/s
[07/29 01:38:00] ppdet.engine INFO: Epoch: [254] [240/732] learning_rate: 0.017548 loss_vfl: 0.859100 loss_bbox: 0.405131 loss_dfl: 0.386499 loss: 1.667291 eta: 9:07:12 batch_cost: 0.5961 data_cost: 0.0004 ips: 67.1075 images/s
[07/29 01:38:16] ppdet.engine INFO: Epoch: [254] [260/732] learning_rate: 0.017543 loss_vfl: 0.936803 loss_bbox: 0.437411 loss_dfl: 0.413483 loss: 1.779522 eta: 9:06:51 batch_cost: 0.6722 data_cost: 0.0011 ips: 59.5035 images/s
[07/29 01:38:31] ppdet.engine INFO: Epoch: [254] [280/732] learning_rate: 0.017537 loss_vfl: 0.934509 loss_bbox: 0.449621 loss_dfl: 0.417417 loss: 1.784427 eta: 9:06:30 batch_cost: 0.6345 data_cost: 0.0016 ips: 63.0451 images/s
[07/29 01:38:46] ppdet.engine INFO: Epoch: [254] [300/732] learning_rate: 0.017532 loss_vfl: 0.894491 loss_bbox: 0.425058 loss_dfl: 0.397198 loss: 1.718564 eta: 9:06:09 batch_cost: 0.5807 data_cost: 0.0003 ips: 68.8765 images/s
[07/29 01:39:02] ppdet.engine INFO: Epoch: [254] [320/732] learning_rate: 0.017527 loss_vfl: 0.895863 loss_bbox: 0.418290 loss_dfl: 0.411578 loss: 1.732462 eta: 9:05:48 batch_cost: 0.6609 data_cost: 0.0004 ips: 60.5248 images/s
[07/29 01:39:17] ppdet.engine INFO: Epoch: [254] [340/732] learning_rate: 0.017521 loss_vfl: 0.866982 loss_bbox: 0.423198 loss_dfl: 0.376095 loss: 1.647448 eta: 9:05:27 batch_cost: 0.6041 data_cost: 0.0013 ips: 66.2158 images/s
[07/29 01:39:33] ppdet.engine INFO: Epoch: [254] [360/732] learning_rate: 0.017516 loss_vfl: 0.902710 loss_bbox: 0.441569 loss_dfl: 0.408617 loss: 1.750960 eta: 9:05:07 batch_cost: 0.7052 data_cost: 0.0004 ips: 56.7251 images/s
[07/29 01:39:50] ppdet.engine INFO: Epoch: [254] [380/732] learning_rate: 0.017511 loss_vfl: 0.854121 loss_bbox: 0.414681 loss_dfl: 0.393116 loss: 1.661538 eta: 9:04:46 batch_cost: 0.7119 data_cost: 0.0005 ips: 56.1893 images/s
[07/29 01:40:06] ppdet.engine INFO: Epoch: [254] [400/732] learning_rate: 0.017505 loss_vfl: 0.858815 loss_bbox: 0.426736 loss_dfl: 0.401704 loss: 1.684216 eta: 9:04:25 batch_cost: 0.6530 data_cost: 0.0004 ips: 61.2574 images/s
[07/29 01:40:20] ppdet.engine INFO: Epoch: [254] [420/732] learning_rate: 0.017500 loss_vfl: 0.839424 loss_bbox: 0.389450 loss_dfl: 0.367205 loss: 1.581053 eta: 9:04:04 batch_cost: 0.6008 data_cost: 0.0005 ips: 66.5756 images/s
[07/29 01:40:36] ppdet.engine INFO: Epoch: [254] [440/732] learning_rate: 0.017495 loss_vfl: 0.900490 loss_bbox: 0.460406 loss_dfl: 0.416619 loss: 1.770211 eta: 9:03:44 batch_cost: 0.6487 data_cost: 0.0011 ips: 61.6594 images/s
[07/29 01:40:51] ppdet.engine INFO: Epoch: [254] [460/732] learning_rate: 0.017490 loss_vfl: 0.889458 loss_bbox: 0.436458 loss_dfl: 0.410765 loss: 1.731243 eta: 9:03:23 batch_cost: 0.6001 data_cost: 0.0004 ips: 66.6569 images/s
[07/29 01:41:07] ppdet.engine INFO: Epoch: [254] [480/732] learning_rate: 0.017484 loss_vfl: 0.962098 loss_bbox: 0.453137 loss_dfl: 0.425804 loss: 1.833059 eta: 9:03:02 batch_cost: 0.6615 data_cost: 0.0011 ips: 60.4681 images/s
[07/29 01:41:22] ppdet.engine INFO: Epoch: [254] [500/732] learning_rate: 0.017479 loss_vfl: 0.883151 loss_bbox: 0.425978 loss_dfl: 0.396320 loss: 1.717799 eta: 9:02:41 batch_cost: 0.6439 data_cost: 0.0003 ips: 62.1190 images/s
[07/29 01:41:38] ppdet.engine INFO: Epoch: [254] [520/732] learning_rate: 0.017474 loss_vfl: 0.897364 loss_bbox: 0.430936 loss_dfl: 0.408019 loss: 1.742298 eta: 9:02:20 batch_cost: 0.6702 data_cost: 0.0004 ips: 59.6873 images/s
[07/29 01:41:51] ppdet.engine INFO: Epoch: [254] [540/732] learning_rate: 0.017468 loss_vfl: 0.852343 loss_bbox: 0.452392 loss_dfl: 0.400623 loss: 1.715166 eta: 9:01:59 batch_cost: 0.5449 data_cost: 0.0010 ips: 73.4073 images/s
[07/29 01:42:07] ppdet.engine INFO: Epoch: [254] [560/732] learning_rate: 0.017463 loss_vfl: 0.906048 loss_bbox: 0.418842 loss_dfl: 0.412023 loss: 1.764997 eta: 9:01:38 batch_cost: 0.6747 data_cost: 0.0003 ips: 59.2880 images/s
[07/29 01:42:22] ppdet.engine INFO: Epoch: [254] [580/732] learning_rate: 0.017458 loss_vfl: 0.843965 loss_bbox: 0.412544 loss_dfl: 0.385975 loss: 1.647758 eta: 9:01:17 batch_cost: 0.6236 data_cost: 0.0009 ips: 64.1444 images/s
[07/29 01:42:37] ppdet.engine INFO: Epoch: [254] [600/732] learning_rate: 0.017453 loss_vfl: 0.937201 loss_bbox: 0.442281 loss_dfl: 0.411188 loss: 1.780542 eta: 9:00:57 batch_cost: 0.6483 data_cost: 0.0015 ips: 61.7031 images/s
[07/29 01:42:52] ppdet.engine INFO: Epoch: [254] [620/732] learning_rate: 0.017448 loss_vfl: 0.940835 loss_bbox: 0.457780 loss_dfl: 0.423469 loss: 1.819043 eta: 9:00:36 batch_cost: 0.6153 data_cost: 0.0010 ips: 65.0123 images/s
[07/29 01:43:08] ppdet.engine INFO: Epoch: [254] [640/732] learning_rate: 0.017442 loss_vfl: 0.940976 loss_bbox: 0.472000 loss_dfl: 0.429382 loss: 1.841952 eta: 9:00:15 batch_cost: 0.6103 data_cost: 0.0023 ips: 65.5429 images/s
[07/29 01:43:24] ppdet.engine INFO: Epoch: [254] [660/732] learning_rate: 0.017437 loss_vfl: 0.906434 loss_bbox: 0.441775 loss_dfl: 0.418960 loss: 1.791711 eta: 8:59:54 batch_cost: 0.7138 data_cost: 0.0004 ips: 56.0395 images/s
[07/29 01:43:40] ppdet.engine INFO: Epoch: [254] [680/732] learning_rate: 0.017432 loss_vfl: 0.899014 loss_bbox: 0.444314 loss_dfl: 0.404746 loss: 1.746723 eta: 8:59:33 batch_cost: 0.6296 data_cost: 0.0004 ips: 63.5300 images/s
[07/29 01:43:55] ppdet.engine INFO: Epoch: [254] [700/732] learning_rate: 0.017427 loss_vfl: 0.914173 loss_bbox: 0.455030 loss_dfl: 0.422337 loss: 1.794145 eta: 8:59:12 batch_cost: 0.6086 data_cost: 0.0003 ips: 65.7206 images/s
[07/29 01:44:11] ppdet.engine INFO: Epoch: [254] [720/732] learning_rate: 0.017422 loss_vfl: 0.885733 loss_bbox: 0.425414 loss_dfl: 0.405622 loss: 1.733209 eta: 8:58:52 batch_cost: 0.6352 data_cost: 0.0004 ips: 62.9740 images/s
[07/29 01:44:25] ppdet.engine INFO: Epoch: [255] [  0/732] learning_rate: 0.017419 loss_vfl: 0.895044 loss_bbox: 0.422282 loss_dfl: 0.402315 loss: 1.723212 eta: 8:58:40 batch_cost: 0.8512 data_cost: 0.2154 ips: 46.9898 images/s
[07/29 01:44:42] ppdet.engine INFO: Epoch: [255] [ 20/732] learning_rate: 0.017413 loss_vfl: 0.905429 loss_bbox: 0.433621 loss_dfl: 0.416813 loss: 1.763150 eta: 8:58:19 batch_cost: 0.6865 data_cost: 0.0003 ips: 58.2658 images/s
[07/29 01:44:57] ppdet.engine INFO: Epoch: [255] [ 40/732] learning_rate: 0.017408 loss_vfl: 0.875574 loss_bbox: 0.434455 loss_dfl: 0.401225 loss: 1.697906 eta: 8:57:58 batch_cost: 0.6122 data_cost: 0.0003 ips: 65.3346 images/s
[07/29 01:45:13] ppdet.engine INFO: Epoch: [255] [ 60/732] learning_rate: 0.017403 loss_vfl: 0.900608 loss_bbox: 0.456326 loss_dfl: 0.421638 loss: 1.786478 eta: 8:57:38 batch_cost: 0.6863 data_cost: 0.0003 ips: 58.2829 images/s
[07/29 01:45:30] ppdet.engine INFO: Epoch: [255] [ 80/732] learning_rate: 0.017398 loss_vfl: 0.902291 loss_bbox: 0.452329 loss_dfl: 0.406349 loss: 1.769732 eta: 8:57:17 batch_cost: 0.7268 data_cost: 0.0003 ips: 55.0378 images/s
[07/29 01:45:46] ppdet.engine INFO: Epoch: [255] [100/732] learning_rate: 0.017393 loss_vfl: 0.908025 loss_bbox: 0.450332 loss_dfl: 0.418670 loss: 1.781852 eta: 8:56:56 batch_cost: 0.6585 data_cost: 0.0003 ips: 60.7450 images/s
[07/29 01:46:01] ppdet.engine INFO: Epoch: [255] [120/732] learning_rate: 0.017388 loss_vfl: 0.977068 loss_bbox: 0.462364 loss_dfl: 0.423142 loss: 1.841019 eta: 8:56:35 batch_cost: 0.6089 data_cost: 0.0003 ips: 65.6926 images/s
[07/29 01:46:15] ppdet.engine INFO: Epoch: [255] [140/732] learning_rate: 0.017383 loss_vfl: 0.869138 loss_bbox: 0.424492 loss_dfl: 0.406754 loss: 1.702097 eta: 8:56:14 batch_cost: 0.5840 data_cost: 0.0003 ips: 68.4886 images/s
[07/29 01:46:30] ppdet.engine INFO: Epoch: [255] [160/732] learning_rate: 0.017378 loss_vfl: 0.905432 loss_bbox: 0.438014 loss_dfl: 0.415705 loss: 1.764862 eta: 8:55:53 batch_cost: 0.6222 data_cost: 0.0003 ips: 64.2834 images/s
[07/29 01:46:45] ppdet.engine INFO: Epoch: [255] [180/732] learning_rate: 0.017373 loss_vfl: 0.905832 loss_bbox: 0.427456 loss_dfl: 0.403425 loss: 1.718106 eta: 8:55:33 batch_cost: 0.6560 data_cost: 0.0004 ips: 60.9797 images/s
[07/29 01:47:00] ppdet.engine INFO: Epoch: [255] [200/732] learning_rate: 0.017367 loss_vfl: 0.897883 loss_bbox: 0.432345 loss_dfl: 0.404663 loss: 1.748836 eta: 8:55:12 batch_cost: 0.6292 data_cost: 0.0003 ips: 63.5705 images/s
[07/29 01:47:15] ppdet.engine INFO: Epoch: [255] [220/732] learning_rate: 0.017362 loss_vfl: 0.917361 loss_bbox: 0.455169 loss_dfl: 0.420822 loss: 1.802547 eta: 8:54:51 batch_cost: 0.5982 data_cost: 0.0003 ips: 66.8623 images/s
[07/29 01:47:30] ppdet.engine INFO: Epoch: [255] [240/732] learning_rate: 0.017357 loss_vfl: 0.882704 loss_bbox: 0.432855 loss_dfl: 0.407802 loss: 1.733366 eta: 8:54:30 batch_cost: 0.6211 data_cost: 0.0003 ips: 64.3973 images/s
[07/29 01:47:45] ppdet.engine INFO: Epoch: [255] [260/732] learning_rate: 0.017352 loss_vfl: 0.921600 loss_bbox: 0.447912 loss_dfl: 0.420187 loss: 1.794782 eta: 8:54:09 batch_cost: 0.6384 data_cost: 0.0004 ips: 62.6539 images/s
[07/29 01:48:01] ppdet.engine INFO: Epoch: [255] [280/732] learning_rate: 0.017347 loss_vfl: 0.867532 loss_bbox: 0.431085 loss_dfl: 0.395900 loss: 1.681066 eta: 8:53:48 batch_cost: 0.6498 data_cost: 0.0003 ips: 61.5604 images/s
[07/29 01:48:15] ppdet.engine INFO: Epoch: [255] [300/732] learning_rate: 0.017342 loss_vfl: 0.885529 loss_bbox: 0.422822 loss_dfl: 0.399394 loss: 1.707744 eta: 8:53:27 batch_cost: 0.5733 data_cost: 0.0011 ips: 69.7756 images/s
[07/29 01:48:30] ppdet.engine INFO: Epoch: [255] [320/732] learning_rate: 0.017337 loss_vfl: 0.926124 loss_bbox: 0.466515 loss_dfl: 0.413690 loss: 1.790761 eta: 8:53:06 batch_cost: 0.6218 data_cost: 0.0014 ips: 64.3323 images/s
[07/29 01:48:44] ppdet.engine INFO: Epoch: [255] [340/732] learning_rate: 0.017332 loss_vfl: 0.891056 loss_bbox: 0.418477 loss_dfl: 0.409536 loss: 1.746889 eta: 8:52:46 batch_cost: 0.6001 data_cost: 0.0003 ips: 66.6588 images/s
[07/29 01:49:00] ppdet.engine INFO: Epoch: [255] [360/732] learning_rate: 0.017327 loss_vfl: 0.831097 loss_bbox: 0.418792 loss_dfl: 0.386156 loss: 1.647518 eta: 8:52:25 batch_cost: 0.6555 data_cost: 0.0003 ips: 61.0246 images/s
[07/29 01:49:14] ppdet.engine INFO: Epoch: [255] [380/732] learning_rate: 0.017322 loss_vfl: 0.904191 loss_bbox: 0.443442 loss_dfl: 0.399462 loss: 1.739229 eta: 8:52:04 batch_cost: 0.5474 data_cost: 0.0003 ips: 73.0741 images/s
[07/29 01:49:30] ppdet.engine INFO: Epoch: [255] [400/732] learning_rate: 0.017317 loss_vfl: 0.949030 loss_bbox: 0.460543 loss_dfl: 0.438158 loss: 1.860711 eta: 8:51:43 batch_cost: 0.6207 data_cost: 0.0003 ips: 64.4425 images/s
[07/29 01:49:44] ppdet.engine INFO: Epoch: [255] [420/732] learning_rate: 0.017312 loss_vfl: 0.919078 loss_bbox: 0.458447 loss_dfl: 0.412919 loss: 1.795642 eta: 8:51:22 batch_cost: 0.6251 data_cost: 0.0003 ips: 63.9891 images/s
[07/29 01:50:00] ppdet.engine INFO: Epoch: [255] [440/732] learning_rate: 0.017307 loss_vfl: 0.927268 loss_bbox: 0.433111 loss_dfl: 0.404712 loss: 1.763016 eta: 8:51:01 batch_cost: 0.6268 data_cost: 0.0003 ips: 63.8204 images/s
[07/29 01:50:16] ppdet.engine INFO: Epoch: [255] [460/732] learning_rate: 0.017302 loss_vfl: 0.905385 loss_bbox: 0.419839 loss_dfl: 0.401807 loss: 1.719407 eta: 8:50:41 batch_cost: 0.6937 data_cost: 0.0003 ips: 57.6597 images/s
[07/29 01:50:32] ppdet.engine INFO: Epoch: [255] [480/732] learning_rate: 0.017298 loss_vfl: 0.863680 loss_bbox: 0.426288 loss_dfl: 0.399764 loss: 1.702451 eta: 8:50:20 batch_cost: 0.6520 data_cost: 0.0003 ips: 61.3524 images/s
[07/29 01:50:46] ppdet.engine INFO: Epoch: [255] [500/732] learning_rate: 0.017293 loss_vfl: 0.935877 loss_bbox: 0.462901 loss_dfl: 0.425376 loss: 1.836665 eta: 8:49:59 batch_cost: 0.5877 data_cost: 0.0003 ips: 68.0582 images/s
[07/29 01:51:01] ppdet.engine INFO: Epoch: [255] [520/732] learning_rate: 0.017288 loss_vfl: 0.897318 loss_bbox: 0.438046 loss_dfl: 0.409019 loss: 1.742906 eta: 8:49:38 batch_cost: 0.5787 data_cost: 0.0003 ips: 69.1242 images/s
[07/29 01:51:15] ppdet.engine INFO: Epoch: [255] [540/732] learning_rate: 0.017283 loss_vfl: 0.896152 loss_bbox: 0.445482 loss_dfl: 0.406132 loss: 1.758306 eta: 8:49:17 batch_cost: 0.6080 data_cost: 0.0004 ips: 65.7861 images/s
[07/29 01:51:30] ppdet.engine INFO: Epoch: [255] [560/732] learning_rate: 0.017278 loss_vfl: 0.893870 loss_bbox: 0.444727 loss_dfl: 0.403624 loss: 1.740190 eta: 8:48:56 batch_cost: 0.6053 data_cost: 0.0003 ips: 66.0823 images/s
[07/29 01:51:45] ppdet.engine INFO: Epoch: [255] [580/732] learning_rate: 0.017273 loss_vfl: 0.895080 loss_bbox: 0.433594 loss_dfl: 0.408691 loss: 1.733590 eta: 8:48:35 batch_cost: 0.6069 data_cost: 0.0003 ips: 65.9038 images/s
[07/29 01:52:00] ppdet.engine INFO: Epoch: [255] [600/732] learning_rate: 0.017268 loss_vfl: 0.858953 loss_bbox: 0.425745 loss_dfl: 0.405427 loss: 1.689695 eta: 8:48:14 batch_cost: 0.6193 data_cost: 0.0009 ips: 64.5909 images/s
[07/29 01:52:15] ppdet.engine INFO: Epoch: [255] [620/732] learning_rate: 0.017263 loss_vfl: 0.886778 loss_bbox: 0.438921 loss_dfl: 0.404800 loss: 1.732962 eta: 8:47:53 batch_cost: 0.6278 data_cost: 0.0003 ips: 63.7188 images/s
[07/29 01:52:30] ppdet.engine INFO: Epoch: [255] [640/732] learning_rate: 0.017258 loss_vfl: 0.881645 loss_bbox: 0.431458 loss_dfl: 0.393041 loss: 1.675160 eta: 8:47:33 batch_cost: 0.6106 data_cost: 0.0010 ips: 65.5044 images/s
[07/29 01:52:44] ppdet.engine INFO: Epoch: [255] [660/732] learning_rate: 0.017254 loss_vfl: 0.866048 loss_bbox: 0.440771 loss_dfl: 0.401999 loss: 1.729931 eta: 8:47:12 batch_cost: 0.5889 data_cost: 0.0003 ips: 67.9231 images/s
[07/29 01:52:58] ppdet.engine INFO: Epoch: [255] [680/732] learning_rate: 0.017249 loss_vfl: 0.832934 loss_bbox: 0.411940 loss_dfl: 0.384091 loss: 1.618905 eta: 8:46:51 batch_cost: 0.5749 data_cost: 0.0003 ips: 69.5750 images/s
[07/29 01:53:14] ppdet.engine INFO: Epoch: [255] [700/732] learning_rate: 0.017244 loss_vfl: 0.863591 loss_bbox: 0.418635 loss_dfl: 0.397581 loss: 1.701060 eta: 8:46:30 batch_cost: 0.6352 data_cost: 0.0003 ips: 62.9727 images/s
[07/29 01:53:28] ppdet.engine INFO: Epoch: [255] [720/732] learning_rate: 0.017239 loss_vfl: 0.891240 loss_bbox: 0.440441 loss_dfl: 0.411990 loss: 1.772015 eta: 8:46:09 batch_cost: 0.5889 data_cost: 0.0003 ips: 67.9270 images/s
[07/29 01:53:40] ppdet.engine INFO: Epoch: [256] [  0/732] learning_rate: 0.017236 loss_vfl: 0.912108 loss_bbox: 0.447167 loss_dfl: 0.406881 loss: 1.781698 eta: 8:45:57 batch_cost: 0.7449 data_cost: 0.1976 ips: 53.6989 images/s
[07/29 01:53:58] ppdet.engine INFO: Epoch: [256] [ 20/732] learning_rate: 0.017231 loss_vfl: 0.919610 loss_bbox: 0.442926 loss_dfl: 0.407002 loss: 1.780769 eta: 8:45:36 batch_cost: 0.7196 data_cost: 0.0003 ips: 55.5837 images/s
[07/29 01:54:13] ppdet.engine INFO: Epoch: [256] [ 40/732] learning_rate: 0.017227 loss_vfl: 0.847216 loss_bbox: 0.413702 loss_dfl: 0.396043 loss: 1.641429 eta: 8:45:16 batch_cost: 0.6121 data_cost: 0.0003 ips: 65.3439 images/s
[07/29 01:54:29] ppdet.engine INFO: Epoch: [256] [ 60/732] learning_rate: 0.017222 loss_vfl: 0.879943 loss_bbox: 0.418268 loss_dfl: 0.399595 loss: 1.701952 eta: 8:44:55 batch_cost: 0.6797 data_cost: 0.0009 ips: 58.8464 images/s
[07/29 01:54:44] ppdet.engine INFO: Epoch: [256] [ 80/732] learning_rate: 0.017217 loss_vfl: 0.882593 loss_bbox: 0.429574 loss_dfl: 0.399381 loss: 1.726269 eta: 8:44:34 batch_cost: 0.6217 data_cost: 0.0011 ips: 64.3353 images/s
[07/29 01:54:59] ppdet.engine INFO: Epoch: [256] [100/732] learning_rate: 0.017212 loss_vfl: 0.852746 loss_bbox: 0.407791 loss_dfl: 0.393326 loss: 1.652268 eta: 8:44:13 batch_cost: 0.6272 data_cost: 0.0003 ips: 63.7767 images/s
[07/29 01:55:16] ppdet.engine INFO: Epoch: [256] [120/732] learning_rate: 0.017207 loss_vfl: 0.856516 loss_bbox: 0.413705 loss_dfl: 0.391388 loss: 1.673359 eta: 8:43:53 batch_cost: 0.6991 data_cost: 0.0011 ips: 57.2141 images/s
[07/29 01:55:30] ppdet.engine INFO: Epoch: [256] [140/732] learning_rate: 0.017203 loss_vfl: 0.907349 loss_bbox: 0.446640 loss_dfl: 0.402153 loss: 1.715199 eta: 8:43:32 batch_cost: 0.5908 data_cost: 0.0003 ips: 67.7028 images/s
[07/29 01:55:46] ppdet.engine INFO: Epoch: [256] [160/732] learning_rate: 0.017198 loss_vfl: 0.889271 loss_bbox: 0.451105 loss_dfl: 0.405590 loss: 1.755186 eta: 8:43:11 batch_cost: 0.7066 data_cost: 0.0016 ips: 56.6084 images/s
[07/29 01:56:01] ppdet.engine INFO: Epoch: [256] [180/732] learning_rate: 0.017193 loss_vfl: 0.929555 loss_bbox: 0.469844 loss_dfl: 0.424467 loss: 1.810757 eta: 8:42:50 batch_cost: 0.6116 data_cost: 0.0009 ips: 65.4032 images/s
[07/29 01:56:16] ppdet.engine INFO: Epoch: [256] [200/732] learning_rate: 0.017188 loss_vfl: 0.838327 loss_bbox: 0.403868 loss_dfl: 0.378034 loss: 1.623640 eta: 8:42:30 batch_cost: 0.6589 data_cost: 0.0003 ips: 60.7082 images/s
[07/29 01:56:32] ppdet.engine INFO: Epoch: [256] [220/732] learning_rate: 0.017184 loss_vfl: 0.874184 loss_bbox: 0.457054 loss_dfl: 0.416309 loss: 1.737964 eta: 8:42:09 batch_cost: 0.6532 data_cost: 0.0008 ips: 61.2373 images/s
[07/29 01:56:48] ppdet.engine INFO: Epoch: [256] [240/732] learning_rate: 0.017179 loss_vfl: 0.879749 loss_bbox: 0.446262 loss_dfl: 0.405408 loss: 1.749836 eta: 8:41:48 batch_cost: 0.6643 data_cost: 0.0020 ips: 60.2093 images/s
[07/29 01:57:02] ppdet.engine INFO: Epoch: [256] [260/732] learning_rate: 0.017174 loss_vfl: 0.895413 loss_bbox: 0.444632 loss_dfl: 0.413074 loss: 1.745224 eta: 8:41:27 batch_cost: 0.5884 data_cost: 0.0003 ips: 67.9790 images/s
[07/29 01:57:17] ppdet.engine INFO: Epoch: [256] [280/732] learning_rate: 0.017170 loss_vfl: 0.837806 loss_bbox: 0.436022 loss_dfl: 0.391566 loss: 1.662251 eta: 8:41:07 batch_cost: 0.5877 data_cost: 0.0003 ips: 68.0643 images/s
[07/29 01:57:33] ppdet.engine INFO: Epoch: [256] [300/732] learning_rate: 0.017165 loss_vfl: 0.869461 loss_bbox: 0.424710 loss_dfl: 0.399617 loss: 1.714184 eta: 8:40:46 batch_cost: 0.6397 data_cost: 0.0003 ips: 62.5298 images/s
[07/29 01:57:48] ppdet.engine INFO: Epoch: [256] [320/732] learning_rate: 0.017160 loss_vfl: 0.919127 loss_bbox: 0.443905 loss_dfl: 0.408414 loss: 1.777446 eta: 8:40:25 batch_cost: 0.6061 data_cost: 0.0003 ips: 66.0002 images/s
[07/29 01:58:03] ppdet.engine INFO: Epoch: [256] [340/732] learning_rate: 0.017156 loss_vfl: 0.839140 loss_bbox: 0.410649 loss_dfl: 0.384581 loss: 1.631731 eta: 8:40:04 batch_cost: 0.6272 data_cost: 0.0003 ips: 63.7760 images/s
[07/29 01:58:18] ppdet.engine INFO: Epoch: [256] [360/732] learning_rate: 0.017151 loss_vfl: 0.845873 loss_bbox: 0.408757 loss_dfl: 0.383978 loss: 1.636289 eta: 8:39:43 batch_cost: 0.6174 data_cost: 0.0003 ips: 64.7871 images/s
[07/29 01:58:34] ppdet.engine INFO: Epoch: [256] [380/732] learning_rate: 0.017146 loss_vfl: 0.897960 loss_bbox: 0.439240 loss_dfl: 0.408203 loss: 1.736579 eta: 8:39:23 batch_cost: 0.6530 data_cost: 0.0003 ips: 61.2575 images/s
[07/29 01:58:48] ppdet.engine INFO: Epoch: [256] [400/732] learning_rate: 0.017142 loss_vfl: 0.905041 loss_bbox: 0.438544 loss_dfl: 0.400192 loss: 1.735748 eta: 8:39:02 batch_cost: 0.6084 data_cost: 0.0003 ips: 65.7421 images/s
[07/29 01:59:02] ppdet.engine INFO: Epoch: [256] [420/732] learning_rate: 0.017137 loss_vfl: 0.885428 loss_bbox: 0.454033 loss_dfl: 0.406714 loss: 1.769102 eta: 8:38:41 batch_cost: 0.5667 data_cost: 0.0021 ips: 70.5858 images/s
[07/29 01:59:17] ppdet.engine INFO: Epoch: [256] [440/732] learning_rate: 0.017132 loss_vfl: 0.863393 loss_bbox: 0.440415 loss_dfl: 0.392622 loss: 1.680275 eta: 8:38:20 batch_cost: 0.6295 data_cost: 0.0003 ips: 63.5381 images/s
[07/29 01:59:32] ppdet.engine INFO: Epoch: [256] [460/732] learning_rate: 0.017128 loss_vfl: 0.942060 loss_bbox: 0.436347 loss_dfl: 0.421349 loss: 1.820620 eta: 8:37:59 batch_cost: 0.6386 data_cost: 0.0003 ips: 62.6419 images/s
[07/29 01:59:46] ppdet.engine INFO: Epoch: [256] [480/732] learning_rate: 0.017123 loss_vfl: 0.863528 loss_bbox: 0.431284 loss_dfl: 0.405891 loss: 1.721580 eta: 8:37:38 batch_cost: 0.5938 data_cost: 0.0009 ips: 67.3601 images/s
[07/29 02:00:01] ppdet.engine INFO: Epoch: [256] [500/732] learning_rate: 0.017119 loss_vfl: 0.883384 loss_bbox: 0.430974 loss_dfl: 0.398829 loss: 1.723873 eta: 8:37:18 batch_cost: 0.6163 data_cost: 0.0003 ips: 64.9073 images/s
[07/29 02:00:16] ppdet.engine INFO: Epoch: [256] [520/732] learning_rate: 0.017114 loss_vfl: 0.924880 loss_bbox: 0.449337 loss_dfl: 0.425381 loss: 1.785035 eta: 8:36:57 batch_cost: 0.6164 data_cost: 0.0003 ips: 64.8975 images/s
[07/29 02:00:31] ppdet.engine INFO: Epoch: [256] [540/732] learning_rate: 0.017110 loss_vfl: 0.866621 loss_bbox: 0.409297 loss_dfl: 0.392015 loss: 1.646000 eta: 8:36:36 batch_cost: 0.5931 data_cost: 0.0003 ips: 67.4419 images/s
[07/29 02:00:46] ppdet.engine INFO: Epoch: [256] [560/732] learning_rate: 0.017105 loss_vfl: 0.904230 loss_bbox: 0.448849 loss_dfl: 0.415694 loss: 1.766373 eta: 8:36:15 batch_cost: 0.6111 data_cost: 0.0003 ips: 65.4600 images/s
[07/29 02:01:01] ppdet.engine INFO: Epoch: [256] [580/732] learning_rate: 0.017100 loss_vfl: 0.878503 loss_bbox: 0.435858 loss_dfl: 0.386456 loss: 1.712564 eta: 8:35:54 batch_cost: 0.5924 data_cost: 0.0003 ips: 67.5208 images/s
[07/29 02:01:16] ppdet.engine INFO: Epoch: [256] [600/732] learning_rate: 0.017096 loss_vfl: 0.911857 loss_bbox: 0.442123 loss_dfl: 0.404678 loss: 1.749239 eta: 8:35:33 batch_cost: 0.6089 data_cost: 0.0003 ips: 65.6948 images/s
[07/29 02:01:31] ppdet.engine INFO: Epoch: [256] [620/732] learning_rate: 0.017091 loss_vfl: 0.906176 loss_bbox: 0.453288 loss_dfl: 0.419998 loss: 1.789458 eta: 8:35:13 batch_cost: 0.6246 data_cost: 0.0003 ips: 64.0393 images/s
[07/29 02:01:45] ppdet.engine INFO: Epoch: [256] [640/732] learning_rate: 0.017087 loss_vfl: 0.860891 loss_bbox: 0.424856 loss_dfl: 0.391450 loss: 1.666041 eta: 8:34:52 batch_cost: 0.5834 data_cost: 0.0003 ips: 68.5639 images/s
[07/29 02:01:59] ppdet.engine INFO: Epoch: [256] [660/732] learning_rate: 0.017082 loss_vfl: 0.903505 loss_bbox: 0.455809 loss_dfl: 0.416089 loss: 1.756738 eta: 8:34:31 batch_cost: 0.5807 data_cost: 0.0003 ips: 68.8814 images/s
[07/29 02:02:14] ppdet.engine INFO: Epoch: [256] [680/732] learning_rate: 0.017078 loss_vfl: 0.920636 loss_bbox: 0.428215 loss_dfl: 0.422015 loss: 1.798460 eta: 8:34:10 batch_cost: 0.5990 data_cost: 0.0004 ips: 66.7754 images/s
[07/29 02:02:29] ppdet.engine INFO: Epoch: [256] [700/732] learning_rate: 0.017073 loss_vfl: 0.905979 loss_bbox: 0.449348 loss_dfl: 0.422443 loss: 1.786877 eta: 8:33:49 batch_cost: 0.6038 data_cost: 0.0003 ips: 66.2419 images/s
[07/29 02:02:43] ppdet.engine INFO: Epoch: [256] [720/732] learning_rate: 0.017069 loss_vfl: 0.868085 loss_bbox: 0.425276 loss_dfl: 0.396692 loss: 1.677198 eta: 8:33:28 batch_cost: 0.5792 data_cost: 0.0004 ips: 69.0569 images/s
[07/29 02:02:58] ppdet.engine INFO: Epoch: [257] [  0/732] learning_rate: 0.017066 loss_vfl: 0.880026 loss_bbox: 0.438676 loss_dfl: 0.400235 loss: 1.709198 eta: 8:33:17 batch_cost: 0.8599 data_cost: 0.2533 ips: 46.5182 images/s
[07/29 02:03:15] ppdet.engine INFO: Epoch: [257] [ 20/732] learning_rate: 0.017062 loss_vfl: 0.924204 loss_bbox: 0.467609 loss_dfl: 0.425553 loss: 1.822986 eta: 8:32:56 batch_cost: 0.7577 data_cost: 0.0003 ips: 52.7933 images/s
[07/29 02:03:30] ppdet.engine INFO: Epoch: [257] [ 40/732] learning_rate: 0.017057 loss_vfl: 0.876309 loss_bbox: 0.433300 loss_dfl: 0.398176 loss: 1.732755 eta: 8:32:36 batch_cost: 0.5774 data_cost: 0.0010 ips: 69.2703 images/s
[07/29 02:03:45] ppdet.engine INFO: Epoch: [257] [ 60/732] learning_rate: 0.017053 loss_vfl: 0.860977 loss_bbox: 0.427558 loss_dfl: 0.394593 loss: 1.689609 eta: 8:32:15 batch_cost: 0.5788 data_cost: 0.0004 ips: 69.1132 images/s
[07/29 02:04:01] ppdet.engine INFO: Epoch: [257] [ 80/732] learning_rate: 0.017048 loss_vfl: 0.917208 loss_bbox: 0.449093 loss_dfl: 0.410282 loss: 1.776746 eta: 8:31:54 batch_cost: 0.7000 data_cost: 0.0004 ips: 57.1427 images/s
[07/29 02:04:16] ppdet.engine INFO: Epoch: [257] [100/732] learning_rate: 0.017044 loss_vfl: 0.908470 loss_bbox: 0.455301 loss_dfl: 0.407415 loss: 1.765331 eta: 8:31:33 batch_cost: 0.5872 data_cost: 0.0012 ips: 68.1211 images/s
[07/29 02:04:33] ppdet.engine INFO: Epoch: [257] [120/732] learning_rate: 0.017040 loss_vfl: 0.931194 loss_bbox: 0.445109 loss_dfl: 0.415925 loss: 1.783208 eta: 8:31:13 batch_cost: 0.7074 data_cost: 0.0004 ips: 56.5433 images/s
[07/29 02:04:48] ppdet.engine INFO: Epoch: [257] [140/732] learning_rate: 0.017035 loss_vfl: 0.859952 loss_bbox: 0.434767 loss_dfl: 0.397974 loss: 1.667237 eta: 8:30:52 batch_cost: 0.6319 data_cost: 0.0004 ips: 63.3049 images/s
[07/29 02:05:03] ppdet.engine INFO: Epoch: [257] [160/732] learning_rate: 0.017031 loss_vfl: 0.920354 loss_bbox: 0.459918 loss_dfl: 0.424977 loss: 1.816763 eta: 8:30:31 batch_cost: 0.6399 data_cost: 0.0004 ips: 62.5084 images/s
[07/29 02:05:18] ppdet.engine INFO: Epoch: [257] [180/732] learning_rate: 0.017026 loss_vfl: 0.908712 loss_bbox: 0.464705 loss_dfl: 0.426943 loss: 1.817482 eta: 8:30:11 batch_cost: 0.6076 data_cost: 0.0019 ips: 65.8299 images/s
[07/29 02:05:33] ppdet.engine INFO: Epoch: [257] [200/732] learning_rate: 0.017022 loss_vfl: 0.918657 loss_bbox: 0.450621 loss_dfl: 0.407726 loss: 1.775110 eta: 8:29:50 batch_cost: 0.6037 data_cost: 0.0004 ips: 66.2610 images/s
[07/29 02:05:48] ppdet.engine INFO: Epoch: [257] [220/732] learning_rate: 0.017018 loss_vfl: 0.898829 loss_bbox: 0.442051 loss_dfl: 0.407430 loss: 1.746759 eta: 8:29:29 batch_cost: 0.6366 data_cost: 0.0003 ips: 62.8387 images/s
[07/29 02:06:04] ppdet.engine INFO: Epoch: [257] [240/732] learning_rate: 0.017013 loss_vfl: 0.902890 loss_bbox: 0.422163 loss_dfl: 0.411206 loss: 1.749505 eta: 8:29:08 batch_cost: 0.6480 data_cost: 0.0004 ips: 61.7252 images/s
[07/29 02:06:19] ppdet.engine INFO: Epoch: [257] [260/732] learning_rate: 0.017009 loss_vfl: 0.917944 loss_bbox: 0.454851 loss_dfl: 0.427085 loss: 1.831198 eta: 8:28:48 batch_cost: 0.6539 data_cost: 0.0016 ips: 61.1673 images/s
[07/29 02:06:33] ppdet.engine INFO: Epoch: [257] [280/732] learning_rate: 0.017004 loss_vfl: 0.852882 loss_bbox: 0.399858 loss_dfl: 0.380759 loss: 1.627270 eta: 8:28:27 batch_cost: 0.5425 data_cost: 0.0008 ips: 73.7287 images/s
[07/29 02:06:48] ppdet.engine INFO: Epoch: [257] [300/732] learning_rate: 0.017000 loss_vfl: 0.870982 loss_bbox: 0.413802 loss_dfl: 0.403395 loss: 1.698757 eta: 8:28:06 batch_cost: 0.5945 data_cost: 0.0003 ips: 67.2790 images/s
[07/29 02:07:03] ppdet.engine INFO: Epoch: [257] [320/732] learning_rate: 0.016996 loss_vfl: 0.890500 loss_bbox: 0.426255 loss_dfl: 0.415560 loss: 1.745016 eta: 8:27:45 batch_cost: 0.6471 data_cost: 0.0004 ips: 61.8180 images/s
[07/29 02:07:19] ppdet.engine INFO: Epoch: [257] [340/732] learning_rate: 0.016991 loss_vfl: 0.867507 loss_bbox: 0.429601 loss_dfl: 0.402266 loss: 1.699719 eta: 8:27:25 batch_cost: 0.6293 data_cost: 0.0003 ips: 63.5582 images/s
[07/29 02:07:34] ppdet.engine INFO: Epoch: [257] [360/732] learning_rate: 0.016987 loss_vfl: 0.931713 loss_bbox: 0.446135 loss_dfl: 0.417070 loss: 1.785422 eta: 8:27:04 batch_cost: 0.6367 data_cost: 0.0003 ips: 62.8196 images/s
[07/29 02:07:48] ppdet.engine INFO: Epoch: [257] [380/732] learning_rate: 0.016983 loss_vfl: 0.920474 loss_bbox: 0.429447 loss_dfl: 0.402030 loss: 1.753671 eta: 8:26:43 batch_cost: 0.6093 data_cost: 0.0003 ips: 65.6509 images/s
[07/29 02:08:02] ppdet.engine INFO: Epoch: [257] [400/732] learning_rate: 0.016979 loss_vfl: 0.903020 loss_bbox: 0.458557 loss_dfl: 0.409519 loss: 1.754519 eta: 8:26:22 batch_cost: 0.5741 data_cost: 0.0003 ips: 69.6724 images/s
[07/29 02:08:16] ppdet.engine INFO: Epoch: [257] [420/732] learning_rate: 0.016974 loss_vfl: 0.853712 loss_bbox: 0.429863 loss_dfl: 0.384813 loss: 1.655040 eta: 8:26:01 batch_cost: 0.5817 data_cost: 0.0003 ips: 68.7690 images/s
[07/29 02:08:31] ppdet.engine INFO: Epoch: [257] [440/732] learning_rate: 0.016970 loss_vfl: 0.853801 loss_bbox: 0.424106 loss_dfl: 0.384995 loss: 1.635560 eta: 8:25:41 batch_cost: 0.5811 data_cost: 0.0009 ips: 68.8404 images/s
[07/29 02:08:46] ppdet.engine INFO: Epoch: [257] [460/732] learning_rate: 0.016966 loss_vfl: 0.887696 loss_bbox: 0.442076 loss_dfl: 0.410316 loss: 1.745617 eta: 8:25:20 batch_cost: 0.6153 data_cost: 0.0004 ips: 65.0112 images/s
[07/29 02:09:01] ppdet.engine INFO: Epoch: [257] [480/732] learning_rate: 0.016962 loss_vfl: 0.880020 loss_bbox: 0.419092 loss_dfl: 0.384355 loss: 1.681410 eta: 8:24:59 batch_cost: 0.6095 data_cost: 0.0010 ips: 65.6254 images/s
[07/29 02:09:15] ppdet.engine INFO: Epoch: [257] [500/732] learning_rate: 0.016957 loss_vfl: 0.891156 loss_bbox: 0.438969 loss_dfl: 0.412413 loss: 1.729787 eta: 8:24:38 batch_cost: 0.5828 data_cost: 0.0004 ips: 68.6284 images/s
[07/29 02:09:30] ppdet.engine INFO: Epoch: [257] [520/732] learning_rate: 0.016953 loss_vfl: 0.940832 loss_bbox: 0.448969 loss_dfl: 0.423737 loss: 1.841218 eta: 8:24:18 batch_cost: 0.6411 data_cost: 0.0004 ips: 62.3943 images/s
[07/29 02:09:45] ppdet.engine INFO: Epoch: [257] [540/732] learning_rate: 0.016949 loss_vfl: 0.902696 loss_bbox: 0.439447 loss_dfl: 0.408679 loss: 1.759286 eta: 8:23:57 batch_cost: 0.6180 data_cost: 0.0004 ips: 64.7228 images/s
[07/29 02:10:00] ppdet.engine INFO: Epoch: [257] [560/732] learning_rate: 0.016945 loss_vfl: 0.960562 loss_bbox: 0.450696 loss_dfl: 0.429387 loss: 1.852529 eta: 8:23:36 batch_cost: 0.5745 data_cost: 0.0004 ips: 69.6314 images/s
[07/29 02:10:14] ppdet.engine INFO: Epoch: [257] [580/732] learning_rate: 0.016940 loss_vfl: 0.945311 loss_bbox: 0.447444 loss_dfl: 0.419493 loss: 1.804203 eta: 8:23:15 batch_cost: 0.6016 data_cost: 0.0003 ips: 66.4900 images/s
[07/29 02:10:29] ppdet.engine INFO: Epoch: [257] [600/732] learning_rate: 0.016936 loss_vfl: 0.938943 loss_bbox: 0.451416 loss_dfl: 0.416490 loss: 1.812963 eta: 8:22:54 batch_cost: 0.6065 data_cost: 0.0014 ips: 65.9519 images/s
[07/29 02:10:44] ppdet.engine INFO: Epoch: [257] [620/732] learning_rate: 0.016932 loss_vfl: 0.888517 loss_bbox: 0.453151 loss_dfl: 0.408164 loss: 1.755731 eta: 8:22:34 batch_cost: 0.6135 data_cost: 0.0008 ips: 65.2040 images/s
[07/29 02:11:00] ppdet.engine INFO: Epoch: [257] [640/732] learning_rate: 0.016928 loss_vfl: 0.957897 loss_bbox: 0.457260 loss_dfl: 0.423239 loss: 1.828894 eta: 8:22:13 batch_cost: 0.6527 data_cost: 0.0003 ips: 61.2794 images/s
[07/29 02:11:15] ppdet.engine INFO: Epoch: [257] [660/732] learning_rate: 0.016924 loss_vfl: 0.883499 loss_bbox: 0.430093 loss_dfl: 0.400472 loss: 1.717886 eta: 8:21:52 batch_cost: 0.6384 data_cost: 0.0017 ips: 62.6611 images/s
[07/29 02:11:29] ppdet.engine INFO: Epoch: [257] [680/732] learning_rate: 0.016920 loss_vfl: 0.850215 loss_bbox: 0.431610 loss_dfl: 0.386134 loss: 1.665496 eta: 8:21:32 batch_cost: 0.5902 data_cost: 0.0004 ips: 67.7733 images/s
[07/29 02:11:44] ppdet.engine INFO: Epoch: [257] [700/732] learning_rate: 0.016915 loss_vfl: 0.866851 loss_bbox: 0.420112 loss_dfl: 0.395472 loss: 1.674114 eta: 8:21:11 batch_cost: 0.6059 data_cost: 0.0004 ips: 66.0123 images/s
[07/29 02:11:58] ppdet.engine INFO: Epoch: [257] [720/732] learning_rate: 0.016911 loss_vfl: 0.864651 loss_bbox: 0.448854 loss_dfl: 0.406444 loss: 1.747558 eta: 8:20:50 batch_cost: 0.5732 data_cost: 0.0004 ips: 69.7874 images/s
[07/29 02:12:12] ppdet.engine INFO: Epoch: [258] [  0/732] learning_rate: 0.016909 loss_vfl: 0.921851 loss_bbox: 0.447471 loss_dfl: 0.411210 loss: 1.779093 eta: 8:20:38 batch_cost: 0.8105 data_cost: 0.2867 ips: 49.3527 images/s
[07/29 02:12:28] ppdet.engine INFO: Epoch: [258] [ 20/732] learning_rate: 0.016905 loss_vfl: 0.925829 loss_bbox: 0.457199 loss_dfl: 0.419245 loss: 1.789573 eta: 8:20:18 batch_cost: 0.6675 data_cost: 0.0003 ips: 59.9246 images/s
[07/29 02:12:44] ppdet.engine INFO: Epoch: [258] [ 40/732] learning_rate: 0.016900 loss_vfl: 0.874460 loss_bbox: 0.459350 loss_dfl: 0.416076 loss: 1.748878 eta: 8:19:57 batch_cost: 0.6665 data_cost: 0.0014 ips: 60.0155 images/s
[07/29 02:13:00] ppdet.engine INFO: Epoch: [258] [ 60/732] learning_rate: 0.016896 loss_vfl: 0.908461 loss_bbox: 0.450343 loss_dfl: 0.416724 loss: 1.780326 eta: 8:19:37 batch_cost: 0.6591 data_cost: 0.0004 ips: 60.6924 images/s
[07/29 02:13:15] ppdet.engine INFO: Epoch: [258] [ 80/732] learning_rate: 0.016892 loss_vfl: 0.925367 loss_bbox: 0.438780 loss_dfl: 0.417495 loss: 1.787125 eta: 8:19:16 batch_cost: 0.6228 data_cost: 0.0005 ips: 64.2216 images/s
[07/29 02:13:32] ppdet.engine INFO: Epoch: [258] [100/732] learning_rate: 0.016888 loss_vfl: 0.888678 loss_bbox: 0.428458 loss_dfl: 0.399196 loss: 1.709180 eta: 8:18:55 batch_cost: 0.6765 data_cost: 0.0003 ips: 59.1257 images/s
[07/29 02:13:47] ppdet.engine INFO: Epoch: [258] [120/732] learning_rate: 0.016884 loss_vfl: 0.951966 loss_bbox: 0.460460 loss_dfl: 0.436513 loss: 1.843921 eta: 8:18:35 batch_cost: 0.6366 data_cost: 0.0012 ips: 62.8371 images/s
[07/29 02:14:03] ppdet.engine INFO: Epoch: [258] [140/732] learning_rate: 0.016880 loss_vfl: 0.852632 loss_bbox: 0.436455 loss_dfl: 0.384903 loss: 1.658330 eta: 8:18:14 batch_cost: 0.6293 data_cost: 0.0006 ips: 63.5624 images/s
[07/29 02:14:20] ppdet.engine INFO: Epoch: [258] [160/732] learning_rate: 0.016876 loss_vfl: 0.941154 loss_bbox: 0.447282 loss_dfl: 0.410402 loss: 1.799843 eta: 8:17:54 batch_cost: 0.7379 data_cost: 0.0003 ips: 54.2094 images/s
[07/29 02:14:36] ppdet.engine INFO: Epoch: [258] [180/732] learning_rate: 0.016872 loss_vfl: 0.878572 loss_bbox: 0.426824 loss_dfl: 0.400254 loss: 1.691259 eta: 8:17:33 batch_cost: 0.6743 data_cost: 0.0014 ips: 59.3192 images/s
[07/29 02:14:51] ppdet.engine INFO: Epoch: [258] [200/732] learning_rate: 0.016868 loss_vfl: 0.920352 loss_bbox: 0.469471 loss_dfl: 0.435338 loss: 1.860697 eta: 8:17:13 batch_cost: 0.6185 data_cost: 0.0003 ips: 64.6731 images/s
[07/29 02:15:06] ppdet.engine INFO: Epoch: [258] [220/732] learning_rate: 0.016864 loss_vfl: 0.888554 loss_bbox: 0.418621 loss_dfl: 0.413802 loss: 1.750943 eta: 8:16:52 batch_cost: 0.6649 data_cost: 0.0011 ips: 60.1635 images/s
[07/29 02:15:22] ppdet.engine INFO: Epoch: [258] [240/732] learning_rate: 0.016860 loss_vfl: 0.848111 loss_bbox: 0.420527 loss_dfl: 0.390849 loss: 1.665378 eta: 8:16:31 batch_cost: 0.6304 data_cost: 0.0003 ips: 63.4531 images/s
[07/29 02:15:37] ppdet.engine INFO: Epoch: [258] [260/732] learning_rate: 0.016856 loss_vfl: 0.938306 loss_bbox: 0.455908 loss_dfl: 0.420398 loss: 1.813545 eta: 8:16:11 batch_cost: 0.6679 data_cost: 0.0003 ips: 59.8902 images/s
[07/29 02:15:53] ppdet.engine INFO: Epoch: [258] [280/732] learning_rate: 0.016852 loss_vfl: 0.893680 loss_bbox: 0.428020 loss_dfl: 0.405505 loss: 1.731712 eta: 8:15:50 batch_cost: 0.6533 data_cost: 0.0003 ips: 61.2305 images/s
[07/29 02:16:08] ppdet.engine INFO: Epoch: [258] [300/732] learning_rate: 0.016848 loss_vfl: 0.896580 loss_bbox: 0.436138 loss_dfl: 0.403899 loss: 1.716738 eta: 8:15:30 batch_cost: 0.6248 data_cost: 0.0013 ips: 64.0221 images/s
[07/29 02:16:25] ppdet.engine INFO: Epoch: [258] [320/732] learning_rate: 0.016844 loss_vfl: 0.870512 loss_bbox: 0.418251 loss_dfl: 0.397920 loss: 1.668184 eta: 8:15:09 batch_cost: 0.6919 data_cost: 0.0004 ips: 57.8111 images/s
[07/29 02:16:40] ppdet.engine INFO: Epoch: [258] [340/732] learning_rate: 0.016840 loss_vfl: 0.893005 loss_bbox: 0.420378 loss_dfl: 0.397572 loss: 1.711981 eta: 8:14:49 batch_cost: 0.6431 data_cost: 0.0003 ips: 62.2005 images/s
[07/29 02:16:55] ppdet.engine INFO: Epoch: [258] [360/732] learning_rate: 0.016836 loss_vfl: 0.894101 loss_bbox: 0.429589 loss_dfl: 0.387534 loss: 1.698618 eta: 8:14:28 batch_cost: 0.5980 data_cost: 0.0003 ips: 66.8905 images/s
[07/29 02:17:10] ppdet.engine INFO: Epoch: [258] [380/732] learning_rate: 0.016832 loss_vfl: 0.923066 loss_bbox: 0.436045 loss_dfl: 0.413927 loss: 1.764396 eta: 8:14:07 batch_cost: 0.6292 data_cost: 0.0003 ips: 63.5748 images/s
[07/29 02:17:26] ppdet.engine INFO: Epoch: [258] [400/732] learning_rate: 0.016828 loss_vfl: 0.908793 loss_bbox: 0.433076 loss_dfl: 0.416581 loss: 1.765975 eta: 8:13:47 batch_cost: 0.6685 data_cost: 0.0003 ips: 59.8314 images/s
[07/29 02:17:41] ppdet.engine INFO: Epoch: [258] [420/732] learning_rate: 0.016824 loss_vfl: 0.915864 loss_bbox: 0.466916 loss_dfl: 0.424374 loss: 1.830761 eta: 8:13:26 batch_cost: 0.6004 data_cost: 0.0022 ips: 66.6237 images/s
[07/29 02:17:56] ppdet.engine INFO: Epoch: [258] [440/732] learning_rate: 0.016820 loss_vfl: 0.870432 loss_bbox: 0.409743 loss_dfl: 0.387106 loss: 1.674861 eta: 8:13:05 batch_cost: 0.6013 data_cost: 0.0013 ips: 66.5234 images/s
[07/29 02:18:12] ppdet.engine INFO: Epoch: [258] [460/732] learning_rate: 0.016816 loss_vfl: 0.834703 loss_bbox: 0.402673 loss_dfl: 0.381014 loss: 1.613522 eta: 8:12:45 batch_cost: 0.6391 data_cost: 0.0003 ips: 62.5850 images/s
[07/29 02:18:27] ppdet.engine INFO: Epoch: [258] [480/732] learning_rate: 0.016812 loss_vfl: 0.932609 loss_bbox: 0.452504 loss_dfl: 0.416669 loss: 1.791299 eta: 8:12:24 batch_cost: 0.5798 data_cost: 0.0003 ips: 68.9880 images/s
[07/29 02:18:42] ppdet.engine INFO: Epoch: [258] [500/732] learning_rate: 0.016808 loss_vfl: 0.943756 loss_bbox: 0.448219 loss_dfl: 0.424443 loss: 1.817186 eta: 8:12:03 batch_cost: 0.6513 data_cost: 0.0003 ips: 61.4176 images/s
[07/29 02:18:58] ppdet.engine INFO: Epoch: [258] [520/732] learning_rate: 0.016804 loss_vfl: 0.869965 loss_bbox: 0.434034 loss_dfl: 0.386597 loss: 1.707046 eta: 8:11:43 batch_cost: 0.6701 data_cost: 0.0003 ips: 59.6885 images/s
[07/29 02:19:14] ppdet.engine INFO: Epoch: [258] [540/732] learning_rate: 0.016801 loss_vfl: 0.863401 loss_bbox: 0.420553 loss_dfl: 0.398186 loss: 1.678971 eta: 8:11:22 batch_cost: 0.6528 data_cost: 0.0003 ips: 61.2791 images/s
[07/29 02:19:30] ppdet.engine INFO: Epoch: [258] [560/732] learning_rate: 0.016797 loss_vfl: 0.957932 loss_bbox: 0.459426 loss_dfl: 0.429924 loss: 1.854948 eta: 8:11:02 batch_cost: 0.6654 data_cost: 0.0004 ips: 60.1181 images/s
[07/29 02:19:46] ppdet.engine INFO: Epoch: [258] [580/732] learning_rate: 0.016793 loss_vfl: 0.901417 loss_bbox: 0.427302 loss_dfl: 0.408448 loss: 1.744789 eta: 8:10:41 batch_cost: 0.6317 data_cost: 0.0009 ips: 63.3199 images/s
[07/29 02:20:01] ppdet.engine INFO: Epoch: [258] [600/732] learning_rate: 0.016789 loss_vfl: 0.888399 loss_bbox: 0.451966 loss_dfl: 0.421173 loss: 1.761538 eta: 8:10:20 batch_cost: 0.6290 data_cost: 0.0003 ips: 63.5920 images/s
[07/29 02:20:17] ppdet.engine INFO: Epoch: [258] [620/732] learning_rate: 0.016785 loss_vfl: 0.874170 loss_bbox: 0.435896 loss_dfl: 0.396132 loss: 1.718027 eta: 8:10:00 batch_cost: 0.6801 data_cost: 0.0003 ips: 58.8137 images/s
[07/29 02:20:33] ppdet.engine INFO: Epoch: [258] [640/732] learning_rate: 0.016781 loss_vfl: 0.870254 loss_bbox: 0.446191 loss_dfl: 0.405479 loss: 1.710164 eta: 8:09:39 batch_cost: 0.6470 data_cost: 0.0007 ips: 61.8270 images/s
[07/29 02:20:49] ppdet.engine INFO: Epoch: [258] [660/732] learning_rate: 0.016777 loss_vfl: 0.876151 loss_bbox: 0.430821 loss_dfl: 0.394388 loss: 1.699725 eta: 8:09:19 batch_cost: 0.6745 data_cost: 0.0017 ips: 59.2995 images/s
[07/29 02:21:05] ppdet.engine INFO: Epoch: [258] [680/732] learning_rate: 0.016774 loss_vfl: 0.864701 loss_bbox: 0.441687 loss_dfl: 0.387459 loss: 1.691585 eta: 8:08:58 batch_cost: 0.6266 data_cost: 0.0003 ips: 63.8345 images/s
[07/29 02:21:20] ppdet.engine INFO: Epoch: [258] [700/732] learning_rate: 0.016770 loss_vfl: 0.922730 loss_bbox: 0.439512 loss_dfl: 0.414922 loss: 1.782430 eta: 8:08:38 batch_cost: 0.6273 data_cost: 0.0003 ips: 63.7702 images/s
[07/29 02:21:35] ppdet.engine INFO: Epoch: [258] [720/732] learning_rate: 0.016766 loss_vfl: 0.859666 loss_bbox: 0.432677 loss_dfl: 0.397446 loss: 1.688240 eta: 8:08:17 batch_cost: 0.6387 data_cost: 0.0004 ips: 62.6274 images/s
[07/29 02:21:49] ppdet.engine INFO: Epoch: [259] [  0/732] learning_rate: 0.016764 loss_vfl: 0.891839 loss_bbox: 0.426145 loss_dfl: 0.411579 loss: 1.734807 eta: 8:08:05 batch_cost: 0.8014 data_cost: 0.2028 ips: 49.9157 images/s
[07/29 02:22:05] ppdet.engine INFO: Epoch: [259] [ 20/732] learning_rate: 0.016760 loss_vfl: 0.838882 loss_bbox: 0.454200 loss_dfl: 0.390685 loss: 1.681987 eta: 8:07:45 batch_cost: 0.6491 data_cost: 0.0006 ips: 61.6261 images/s
[07/29 02:22:20] ppdet.engine INFO: Epoch: [259] [ 40/732] learning_rate: 0.016756 loss_vfl: 0.908808 loss_bbox: 0.446687 loss_dfl: 0.420765 loss: 1.798196 eta: 8:07:24 batch_cost: 0.6402 data_cost: 0.0012 ips: 62.4797 images/s
[07/29 02:22:35] ppdet.engine INFO: Epoch: [259] [ 60/732] learning_rate: 0.016752 loss_vfl: 0.876662 loss_bbox: 0.432708 loss_dfl: 0.402748 loss: 1.706847 eta: 8:07:03 batch_cost: 0.5821 data_cost: 0.0003 ips: 68.7120 images/s
[07/29 02:22:51] ppdet.engine INFO: Epoch: [259] [ 80/732] learning_rate: 0.016749 loss_vfl: 0.910321 loss_bbox: 0.458007 loss_dfl: 0.426065 loss: 1.793874 eta: 8:06:43 batch_cost: 0.6675 data_cost: 0.0003 ips: 59.9286 images/s
[07/29 02:23:05] ppdet.engine INFO: Epoch: [259] [100/732] learning_rate: 0.016745 loss_vfl: 0.898011 loss_bbox: 0.462075 loss_dfl: 0.429486 loss: 1.795318 eta: 8:06:22 batch_cost: 0.6012 data_cost: 0.0022 ips: 66.5375 images/s
[07/29 02:23:21] ppdet.engine INFO: Epoch: [259] [120/732] learning_rate: 0.016741 loss_vfl: 0.861128 loss_bbox: 0.443912 loss_dfl: 0.398538 loss: 1.714373 eta: 8:06:02 batch_cost: 0.6220 data_cost: 0.0010 ips: 64.3069 images/s
[07/29 02:23:36] ppdet.engine INFO: Epoch: [259] [140/732] learning_rate: 0.016737 loss_vfl: 0.902208 loss_bbox: 0.444165 loss_dfl: 0.410507 loss: 1.748157 eta: 8:05:41 batch_cost: 0.6662 data_cost: 0.0003 ips: 60.0465 images/s
[07/29 02:23:51] ppdet.engine INFO: Epoch: [259] [160/732] learning_rate: 0.016734 loss_vfl: 0.844258 loss_bbox: 0.419511 loss_dfl: 0.394612 loss: 1.665166 eta: 8:05:21 batch_cost: 0.6620 data_cost: 0.0005 ips: 60.4231 images/s
[07/29 02:24:07] ppdet.engine INFO: Epoch: [259] [180/732] learning_rate: 0.016730 loss_vfl: 0.943359 loss_bbox: 0.430626 loss_dfl: 0.411045 loss: 1.795383 eta: 8:05:00 batch_cost: 0.6493 data_cost: 0.0003 ips: 61.6085 images/s
[07/29 02:24:23] ppdet.engine INFO: Epoch: [259] [200/732] learning_rate: 0.016726 loss_vfl: 0.933555 loss_bbox: 0.439061 loss_dfl: 0.419964 loss: 1.789208 eta: 8:04:39 batch_cost: 0.6416 data_cost: 0.0012 ips: 62.3426 images/s
[07/29 02:24:38] ppdet.engine INFO: Epoch: [259] [220/732] learning_rate: 0.016723 loss_vfl: 0.848194 loss_bbox: 0.414432 loss_dfl: 0.385700 loss: 1.648272 eta: 8:04:19 batch_cost: 0.6200 data_cost: 0.0009 ips: 64.5132 images/s
[07/29 02:24:53] ppdet.engine INFO: Epoch: [259] [240/732] learning_rate: 0.016719 loss_vfl: 0.869287 loss_bbox: 0.420049 loss_dfl: 0.392747 loss: 1.686184 eta: 8:03:58 batch_cost: 0.6448 data_cost: 0.0004 ips: 62.0321 images/s
[07/29 02:25:09] ppdet.engine INFO: Epoch: [259] [260/732] learning_rate: 0.016715 loss_vfl: 0.849823 loss_bbox: 0.424617 loss_dfl: 0.394835 loss: 1.653365 eta: 8:03:38 batch_cost: 0.6834 data_cost: 0.0003 ips: 58.5282 images/s
[07/29 02:25:25] ppdet.engine INFO: Epoch: [259] [280/732] learning_rate: 0.016712 loss_vfl: 0.889992 loss_bbox: 0.430411 loss_dfl: 0.397714 loss: 1.704911 eta: 8:03:17 batch_cost: 0.6653 data_cost: 0.0010 ips: 60.1238 images/s
[07/29 02:25:41] ppdet.engine INFO: Epoch: [259] [300/732] learning_rate: 0.016708 loss_vfl: 0.884669 loss_bbox: 0.437733 loss_dfl: 0.413808 loss: 1.726672 eta: 8:02:57 batch_cost: 0.6469 data_cost: 0.0009 ips: 61.8375 images/s
[07/29 02:25:56] ppdet.engine INFO: Epoch: [259] [320/732] learning_rate: 0.016704 loss_vfl: 0.939276 loss_bbox: 0.462618 loss_dfl: 0.439442 loss: 1.869224 eta: 8:02:36 batch_cost: 0.6103 data_cost: 0.0003 ips: 65.5425 images/s
[07/29 02:26:11] ppdet.engine INFO: Epoch: [259] [340/732] learning_rate: 0.016701 loss_vfl: 0.939629 loss_bbox: 0.459445 loss_dfl: 0.430140 loss: 1.824142 eta: 8:02:16 batch_cost: 0.6562 data_cost: 0.0005 ips: 60.9579 images/s
[07/29 02:26:26] ppdet.engine INFO: Epoch: [259] [360/732] learning_rate: 0.016697 loss_vfl: 0.917059 loss_bbox: 0.435818 loss_dfl: 0.414377 loss: 1.786431 eta: 8:01:55 batch_cost: 0.6267 data_cost: 0.0004 ips: 63.8285 images/s
[07/29 02:26:41] ppdet.engine INFO: Epoch: [259] [380/732] learning_rate: 0.016693 loss_vfl: 0.887360 loss_bbox: 0.432254 loss_dfl: 0.396663 loss: 1.684643 eta: 8:01:35 batch_cost: 0.6735 data_cost: 0.0003 ips: 59.3912 images/s
[07/29 02:26:57] ppdet.engine INFO: Epoch: [259] [400/732] learning_rate: 0.016690 loss_vfl: 0.879745 loss_bbox: 0.435681 loss_dfl: 0.397238 loss: 1.700834 eta: 8:01:14 batch_cost: 0.6416 data_cost: 0.0003 ips: 62.3394 images/s
[07/29 02:27:13] ppdet.engine INFO: Epoch: [259] [420/732] learning_rate: 0.016686 loss_vfl: 0.932486 loss_bbox: 0.433272 loss_dfl: 0.410132 loss: 1.795413 eta: 8:00:54 batch_cost: 0.6180 data_cost: 0.0003 ips: 64.7200 images/s
[07/29 02:27:28] ppdet.engine INFO: Epoch: [259] [440/732] learning_rate: 0.016683 loss_vfl: 0.955572 loss_bbox: 0.440672 loss_dfl: 0.417324 loss: 1.804637 eta: 8:00:33 batch_cost: 0.6105 data_cost: 0.0003 ips: 65.5205 images/s
[07/29 02:27:43] ppdet.engine INFO: Epoch: [259] [460/732] learning_rate: 0.016679 loss_vfl: 0.878635 loss_bbox: 0.421386 loss_dfl: 0.401533 loss: 1.702900 eta: 8:00:12 batch_cost: 0.6380 data_cost: 0.0053 ips: 62.6968 images/s
[07/29 02:27:59] ppdet.engine INFO: Epoch: [259] [480/732] learning_rate: 0.016676 loss_vfl: 0.851602 loss_bbox: 0.420307 loss_dfl: 0.398697 loss: 1.668832 eta: 7:59:52 batch_cost: 0.6661 data_cost: 0.0023 ips: 60.0507 images/s
[07/29 02:28:15] ppdet.engine INFO: Epoch: [259] [500/732] learning_rate: 0.016672 loss_vfl: 0.822220 loss_bbox: 0.393780 loss_dfl: 0.370569 loss: 1.593109 eta: 7:59:31 batch_cost: 0.6596 data_cost: 0.0003 ips: 60.6433 images/s
[07/29 02:28:30] ppdet.engine INFO: Epoch: [259] [520/732] learning_rate: 0.016668 loss_vfl: 0.915820 loss_bbox: 0.458520 loss_dfl: 0.420106 loss: 1.800801 eta: 7:59:11 batch_cost: 0.6402 data_cost: 0.0004 ips: 62.4840 images/s
[07/29 02:28:45] ppdet.engine INFO: Epoch: [259] [540/732] learning_rate: 0.016665 loss_vfl: 0.879412 loss_bbox: 0.442482 loss_dfl: 0.404424 loss: 1.746173 eta: 7:58:50 batch_cost: 0.5936 data_cost: 0.0003 ips: 67.3814 images/s
[07/29 02:29:01] ppdet.engine INFO: Epoch: [259] [560/732] learning_rate: 0.016661 loss_vfl: 0.925438 loss_bbox: 0.473437 loss_dfl: 0.420830 loss: 1.810789 eta: 7:58:30 batch_cost: 0.6607 data_cost: 0.0003 ips: 60.5442 images/s
[07/29 02:29:15] ppdet.engine INFO: Epoch: [259] [580/732] learning_rate: 0.016658 loss_vfl: 0.916415 loss_bbox: 0.468753 loss_dfl: 0.429105 loss: 1.799720 eta: 7:58:09 batch_cost: 0.5870 data_cost: 0.0003 ips: 68.1442 images/s
[07/29 02:29:30] ppdet.engine INFO: Epoch: [259] [600/732] learning_rate: 0.016654 loss_vfl: 0.918873 loss_bbox: 0.463901 loss_dfl: 0.413764 loss: 1.802117 eta: 7:57:48 batch_cost: 0.5990 data_cost: 0.0003 ips: 66.7828 images/s
[07/29 02:29:45] ppdet.engine INFO: Epoch: [259] [620/732] learning_rate: 0.016651 loss_vfl: 0.900001 loss_bbox: 0.451873 loss_dfl: 0.422967 loss: 1.764352 eta: 7:57:28 batch_cost: 0.5963 data_cost: 0.0003 ips: 67.0856 images/s
[07/29 02:30:01] ppdet.engine INFO: Epoch: [259] [640/732] learning_rate: 0.016647 loss_vfl: 0.882614 loss_bbox: 0.421815 loss_dfl: 0.392975 loss: 1.684014 eta: 7:57:07 batch_cost: 0.6255 data_cost: 0.0003 ips: 63.9490 images/s
[07/29 02:30:16] ppdet.engine INFO: Epoch: [259] [660/732] learning_rate: 0.016644 loss_vfl: 0.948521 loss_bbox: 0.451591 loss_dfl: 0.429622 loss: 1.857764 eta: 7:56:47 batch_cost: 0.6526 data_cost: 0.0003 ips: 61.2895 images/s
[07/29 02:30:31] ppdet.engine INFO: Epoch: [259] [680/732] learning_rate: 0.016640 loss_vfl: 0.858479 loss_bbox: 0.420653 loss_dfl: 0.391772 loss: 1.672224 eta: 7:56:26 batch_cost: 0.5982 data_cost: 0.0006 ips: 66.8680 images/s
[07/29 02:30:47] ppdet.engine INFO: Epoch: [259] [700/732] learning_rate: 0.016637 loss_vfl: 0.891323 loss_bbox: 0.436940 loss_dfl: 0.411909 loss: 1.728295 eta: 7:56:06 batch_cost: 0.6735 data_cost: 0.0004 ips: 59.3909 images/s
[07/29 02:31:02] ppdet.engine INFO: Epoch: [259] [720/732] learning_rate: 0.016633 loss_vfl: 0.863682 loss_bbox: 0.414438 loss_dfl: 0.380255 loss: 1.644050 eta: 7:55:45 batch_cost: 0.6525 data_cost: 0.0004 ips: 61.3015 images/s
[07/29 02:31:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 02:31:11] ppdet.engine INFO: Eval iter: 0
[07/29 02:31:26] ppdet.engine INFO: Eval iter: 100
[07/29 02:31:34] ppdet.engine INFO: Eval iter: 200
[07/29 02:31:43] ppdet.engine INFO: Eval iter: 300
[07/29 02:31:51] ppdet.engine INFO: Eval iter: 400
[07/29 02:31:59] ppdet.engine INFO: Eval iter: 500
[07/29 02:32:08] ppdet.engine INFO: Eval iter: 600
[07/29 02:32:24] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.65s)
creating index...
index created!
[07/29 02:32:24] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.63s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.04s).
Accumulating evaluation results...
DONE (t=18.04s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.299
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.441
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.318
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.107
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.320
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.461
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.274
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.448
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.478
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.214
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.535
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.711
[07/29 02:34:29] ppdet.engine INFO: Total sample number: 4952, averge FPS: 84.04971012103587
[07/29 02:34:29] ppdet.engine INFO: Best test bbox ap is 0.299.
[07/29 02:34:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 02:34:30] ppdet.engine INFO: Epoch: [260] [  0/732] learning_rate: 0.016631 loss_vfl: 0.892339 loss_bbox: 0.432316 loss_dfl: 0.394891 loss: 1.705119 eta: 7:55:33 batch_cost: 0.5650 data_cost: 0.0003 ips: 70.7933 images/s
[07/29 02:34:45] ppdet.engine INFO: Epoch: [260] [ 20/732] learning_rate: 0.016628 loss_vfl: 0.902895 loss_bbox: 0.458122 loss_dfl: 0.414148 loss: 1.774534 eta: 7:55:12 batch_cost: 0.6440 data_cost: 0.0007 ips: 62.1078 images/s
[07/29 02:35:01] ppdet.engine INFO: Epoch: [260] [ 40/732] learning_rate: 0.016625 loss_vfl: 0.916162 loss_bbox: 0.455453 loss_dfl: 0.421435 loss: 1.798060 eta: 7:54:51 batch_cost: 0.6165 data_cost: 0.0002 ips: 64.8801 images/s
[07/29 02:35:16] ppdet.engine INFO: Epoch: [260] [ 60/732] learning_rate: 0.016621 loss_vfl: 0.901182 loss_bbox: 0.433106 loss_dfl: 0.393710 loss: 1.735463 eta: 7:54:31 batch_cost: 0.6465 data_cost: 0.0009 ips: 61.8694 images/s
[07/29 02:35:32] ppdet.engine INFO: Epoch: [260] [ 80/732] learning_rate: 0.016618 loss_vfl: 0.914234 loss_bbox: 0.420989 loss_dfl: 0.405249 loss: 1.764499 eta: 7:54:11 batch_cost: 0.6602 data_cost: 0.0011 ips: 60.5865 images/s
[07/29 02:35:48] ppdet.engine INFO: Epoch: [260] [100/732] learning_rate: 0.016614 loss_vfl: 0.855137 loss_bbox: 0.433087 loss_dfl: 0.397834 loss: 1.715452 eta: 7:53:50 batch_cost: 0.6147 data_cost: 0.0019 ips: 65.0688 images/s
[07/29 02:36:03] ppdet.engine INFO: Epoch: [260] [120/732] learning_rate: 0.016611 loss_vfl: 0.866399 loss_bbox: 0.423400 loss_dfl: 0.391176 loss: 1.669612 eta: 7:53:29 batch_cost: 0.5997 data_cost: 0.0003 ips: 66.7000 images/s
[07/29 02:36:18] ppdet.engine INFO: Epoch: [260] [140/732] learning_rate: 0.016607 loss_vfl: 0.919349 loss_bbox: 0.433092 loss_dfl: 0.406716 loss: 1.756826 eta: 7:53:09 batch_cost: 0.6040 data_cost: 0.0003 ips: 66.2276 images/s
[07/29 02:36:33] ppdet.engine INFO: Epoch: [260] [160/732] learning_rate: 0.016604 loss_vfl: 0.919219 loss_bbox: 0.449610 loss_dfl: 0.421725 loss: 1.799762 eta: 7:52:48 batch_cost: 0.6513 data_cost: 0.0013 ips: 61.4174 images/s
[07/29 02:36:49] ppdet.engine INFO: Epoch: [260] [180/732] learning_rate: 0.016601 loss_vfl: 0.865729 loss_bbox: 0.404727 loss_dfl: 0.389106 loss: 1.654783 eta: 7:52:28 batch_cost: 0.6347 data_cost: 0.0003 ips: 63.0230 images/s
[07/29 02:37:04] ppdet.engine INFO: Epoch: [260] [200/732] learning_rate: 0.016597 loss_vfl: 0.932781 loss_bbox: 0.450597 loss_dfl: 0.428118 loss: 1.837013 eta: 7:52:07 batch_cost: 0.6545 data_cost: 0.0014 ips: 61.1132 images/s
[07/29 02:37:20] ppdet.engine INFO: Epoch: [260] [220/732] learning_rate: 0.016594 loss_vfl: 0.844485 loss_bbox: 0.412275 loss_dfl: 0.384924 loss: 1.650821 eta: 7:51:47 batch_cost: 0.6597 data_cost: 0.0012 ips: 60.6373 images/s
[07/29 02:37:35] ppdet.engine INFO: Epoch: [260] [240/732] learning_rate: 0.016591 loss_vfl: 0.915917 loss_bbox: 0.461876 loss_dfl: 0.412564 loss: 1.764820 eta: 7:51:26 batch_cost: 0.5861 data_cost: 0.0003 ips: 68.2495 images/s
[07/29 02:37:49] ppdet.engine INFO: Epoch: [260] [260/732] learning_rate: 0.016587 loss_vfl: 0.864653 loss_bbox: 0.412312 loss_dfl: 0.392458 loss: 1.689345 eta: 7:51:05 batch_cost: 0.5567 data_cost: 0.0003 ips: 71.8530 images/s
[07/29 02:38:05] ppdet.engine INFO: Epoch: [260] [280/732] learning_rate: 0.016584 loss_vfl: 0.886725 loss_bbox: 0.445553 loss_dfl: 0.405579 loss: 1.726432 eta: 7:50:45 batch_cost: 0.6635 data_cost: 0.0010 ips: 60.2859 images/s
[07/29 02:38:20] ppdet.engine INFO: Epoch: [260] [300/732] learning_rate: 0.016581 loss_vfl: 0.873298 loss_bbox: 0.419008 loss_dfl: 0.385633 loss: 1.677979 eta: 7:50:24 batch_cost: 0.5986 data_cost: 0.0005 ips: 66.8273 images/s
[07/29 02:38:34] ppdet.engine INFO: Epoch: [260] [320/732] learning_rate: 0.016577 loss_vfl: 0.889698 loss_bbox: 0.445179 loss_dfl: 0.416218 loss: 1.764036 eta: 7:50:04 batch_cost: 0.6214 data_cost: 0.0003 ips: 64.3706 images/s
[07/29 02:38:49] ppdet.engine INFO: Epoch: [260] [340/732] learning_rate: 0.016574 loss_vfl: 0.855784 loss_bbox: 0.409826 loss_dfl: 0.387112 loss: 1.652722 eta: 7:49:43 batch_cost: 0.6212 data_cost: 0.0018 ips: 64.3875 images/s
[07/29 02:39:05] ppdet.engine INFO: Epoch: [260] [360/732] learning_rate: 0.016571 loss_vfl: 0.934970 loss_bbox: 0.473982 loss_dfl: 0.426052 loss: 1.856664 eta: 7:49:23 batch_cost: 0.6168 data_cost: 0.0011 ips: 64.8484 images/s
[07/29 02:39:20] ppdet.engine INFO: Epoch: [260] [380/732] learning_rate: 0.016568 loss_vfl: 0.882350 loss_bbox: 0.431989 loss_dfl: 0.398561 loss: 1.722988 eta: 7:49:02 batch_cost: 0.5814 data_cost: 0.0008 ips: 68.8024 images/s
[07/29 02:39:34] ppdet.engine INFO: Epoch: [260] [400/732] learning_rate: 0.016564 loss_vfl: 0.876925 loss_bbox: 0.419800 loss_dfl: 0.392479 loss: 1.666077 eta: 7:48:41 batch_cost: 0.5878 data_cost: 0.0003 ips: 68.0526 images/s
[07/29 02:39:49] ppdet.engine INFO: Epoch: [260] [420/732] learning_rate: 0.016561 loss_vfl: 0.873731 loss_bbox: 0.425705 loss_dfl: 0.388254 loss: 1.679437 eta: 7:48:21 batch_cost: 0.5984 data_cost: 0.0003 ips: 66.8482 images/s
[07/29 02:40:04] ppdet.engine INFO: Epoch: [260] [440/732] learning_rate: 0.016558 loss_vfl: 0.873228 loss_bbox: 0.431730 loss_dfl: 0.407884 loss: 1.715882 eta: 7:48:00 batch_cost: 0.5646 data_cost: 0.0003 ips: 70.8405 images/s
[07/29 02:40:18] ppdet.engine INFO: Epoch: [260] [460/732] learning_rate: 0.016555 loss_vfl: 0.908314 loss_bbox: 0.466268 loss_dfl: 0.422475 loss: 1.813110 eta: 7:47:39 batch_cost: 0.5660 data_cost: 0.0010 ips: 70.6686 images/s
[07/29 02:40:33] ppdet.engine INFO: Epoch: [260] [480/732] learning_rate: 0.016551 loss_vfl: 0.912557 loss_bbox: 0.448814 loss_dfl: 0.407741 loss: 1.732961 eta: 7:47:19 batch_cost: 0.6043 data_cost: 0.0003 ips: 66.1969 images/s
[07/29 02:40:49] ppdet.engine INFO: Epoch: [260] [500/732] learning_rate: 0.016548 loss_vfl: 0.888098 loss_bbox: 0.452023 loss_dfl: 0.418976 loss: 1.766738 eta: 7:46:58 batch_cost: 0.6680 data_cost: 0.0003 ips: 59.8821 images/s
[07/29 02:41:04] ppdet.engine INFO: Epoch: [260] [520/732] learning_rate: 0.016545 loss_vfl: 0.867348 loss_bbox: 0.427300 loss_dfl: 0.400043 loss: 1.688884 eta: 7:46:38 batch_cost: 0.6241 data_cost: 0.0017 ips: 64.0969 images/s
[07/29 02:41:19] ppdet.engine INFO: Epoch: [260] [540/732] learning_rate: 0.016542 loss_vfl: 0.827089 loss_bbox: 0.405397 loss_dfl: 0.372850 loss: 1.613560 eta: 7:46:17 batch_cost: 0.6070 data_cost: 0.0019 ips: 65.9009 images/s
[07/29 02:41:34] ppdet.engine INFO: Epoch: [260] [560/732] learning_rate: 0.016539 loss_vfl: 0.939747 loss_bbox: 0.454909 loss_dfl: 0.410716 loss: 1.805601 eta: 7:45:57 batch_cost: 0.6252 data_cost: 0.0003 ips: 63.9756 images/s
[07/29 02:41:49] ppdet.engine INFO: Epoch: [260] [580/732] learning_rate: 0.016535 loss_vfl: 0.896172 loss_bbox: 0.427887 loss_dfl: 0.390189 loss: 1.674764 eta: 7:45:36 batch_cost: 0.5961 data_cost: 0.0015 ips: 67.1043 images/s
[07/29 02:42:05] ppdet.engine INFO: Epoch: [260] [600/732] learning_rate: 0.016532 loss_vfl: 0.904251 loss_bbox: 0.425983 loss_dfl: 0.401838 loss: 1.699505 eta: 7:45:16 batch_cost: 0.6283 data_cost: 0.0003 ips: 63.6643 images/s
[07/29 02:42:19] ppdet.engine INFO: Epoch: [260] [620/732] learning_rate: 0.016529 loss_vfl: 0.870292 loss_bbox: 0.417790 loss_dfl: 0.389347 loss: 1.690480 eta: 7:44:55 batch_cost: 0.5581 data_cost: 0.0003 ips: 71.6730 images/s
[07/29 02:42:35] ppdet.engine INFO: Epoch: [260] [640/732] learning_rate: 0.016526 loss_vfl: 0.856563 loss_bbox: 0.400825 loss_dfl: 0.387490 loss: 1.627181 eta: 7:44:34 batch_cost: 0.6374 data_cost: 0.0009 ips: 62.7553 images/s
[07/29 02:42:50] ppdet.engine INFO: Epoch: [260] [660/732] learning_rate: 0.016523 loss_vfl: 0.849238 loss_bbox: 0.423330 loss_dfl: 0.387651 loss: 1.648627 eta: 7:44:14 batch_cost: 0.5958 data_cost: 0.0003 ips: 67.1342 images/s
[07/29 02:43:05] ppdet.engine INFO: Epoch: [260] [680/732] learning_rate: 0.016520 loss_vfl: 0.866581 loss_bbox: 0.443559 loss_dfl: 0.390873 loss: 1.687721 eta: 7:43:53 batch_cost: 0.5926 data_cost: 0.0003 ips: 67.4996 images/s
[07/29 02:43:20] ppdet.engine INFO: Epoch: [260] [700/732] learning_rate: 0.016517 loss_vfl: 0.911261 loss_bbox: 0.438987 loss_dfl: 0.405797 loss: 1.752727 eta: 7:43:33 batch_cost: 0.6013 data_cost: 0.0003 ips: 66.5257 images/s
[07/29 02:43:35] ppdet.engine INFO: Epoch: [260] [720/732] learning_rate: 0.016513 loss_vfl: 0.933111 loss_bbox: 0.450914 loss_dfl: 0.417203 loss: 1.807454 eta: 7:43:12 batch_cost: 0.6191 data_cost: 0.0010 ips: 64.6074 images/s
[07/29 02:43:51] ppdet.engine INFO: Epoch: [261] [  0/732] learning_rate: 0.016512 loss_vfl: 0.934318 loss_bbox: 0.437093 loss_dfl: 0.411224 loss: 1.781923 eta: 7:43:01 batch_cost: 0.8782 data_cost: 0.2872 ips: 45.5468 images/s
[07/29 02:44:08] ppdet.engine INFO: Epoch: [261] [ 20/732] learning_rate: 0.016508 loss_vfl: 0.880275 loss_bbox: 0.441584 loss_dfl: 0.405257 loss: 1.727933 eta: 7:42:40 batch_cost: 0.7282 data_cost: 0.0003 ips: 54.9274 images/s
[07/29 02:44:24] ppdet.engine INFO: Epoch: [261] [ 40/732] learning_rate: 0.016505 loss_vfl: 0.865750 loss_bbox: 0.406869 loss_dfl: 0.396290 loss: 1.673718 eta: 7:42:20 batch_cost: 0.6467 data_cost: 0.0011 ips: 61.8536 images/s
[07/29 02:44:40] ppdet.engine INFO: Epoch: [261] [ 60/732] learning_rate: 0.016502 loss_vfl: 0.870151 loss_bbox: 0.416078 loss_dfl: 0.391334 loss: 1.686531 eta: 7:41:59 batch_cost: 0.6220 data_cost: 0.0003 ips: 64.3070 images/s
[07/29 02:44:56] ppdet.engine INFO: Epoch: [261] [ 80/732] learning_rate: 0.016499 loss_vfl: 0.871838 loss_bbox: 0.421985 loss_dfl: 0.392413 loss: 1.684138 eta: 7:41:39 batch_cost: 0.6596 data_cost: 0.0011 ips: 60.6389 images/s
[07/29 02:45:10] ppdet.engine INFO: Epoch: [261] [100/732] learning_rate: 0.016496 loss_vfl: 0.857155 loss_bbox: 0.421832 loss_dfl: 0.384916 loss: 1.659390 eta: 7:41:18 batch_cost: 0.5817 data_cost: 0.0003 ips: 68.7690 images/s
[07/29 02:45:25] ppdet.engine INFO: Epoch: [261] [120/732] learning_rate: 0.016493 loss_vfl: 0.872281 loss_bbox: 0.450520 loss_dfl: 0.409188 loss: 1.735238 eta: 7:40:58 batch_cost: 0.5994 data_cost: 0.0003 ips: 66.7365 images/s
[07/29 02:45:42] ppdet.engine INFO: Epoch: [261] [140/732] learning_rate: 0.016490 loss_vfl: 0.889329 loss_bbox: 0.426404 loss_dfl: 0.391385 loss: 1.702402 eta: 7:40:38 batch_cost: 0.7011 data_cost: 0.0012 ips: 57.0494 images/s
[07/29 02:45:57] ppdet.engine INFO: Epoch: [261] [160/732] learning_rate: 0.016487 loss_vfl: 0.872923 loss_bbox: 0.423464 loss_dfl: 0.393043 loss: 1.672994 eta: 7:40:17 batch_cost: 0.6365 data_cost: 0.0044 ips: 62.8404 images/s
[07/29 02:46:14] ppdet.engine INFO: Epoch: [261] [180/732] learning_rate: 0.016484 loss_vfl: 0.901573 loss_bbox: 0.429718 loss_dfl: 0.409046 loss: 1.738432 eta: 7:39:57 batch_cost: 0.6714 data_cost: 0.0004 ips: 59.5764 images/s
[07/29 02:46:28] ppdet.engine INFO: Epoch: [261] [200/732] learning_rate: 0.016481 loss_vfl: 0.941202 loss_bbox: 0.456629 loss_dfl: 0.428136 loss: 1.846189 eta: 7:39:36 batch_cost: 0.6137 data_cost: 0.0003 ips: 65.1760 images/s
[07/29 02:46:43] ppdet.engine INFO: Epoch: [261] [220/732] learning_rate: 0.016478 loss_vfl: 0.940394 loss_bbox: 0.458320 loss_dfl: 0.424649 loss: 1.804466 eta: 7:39:16 batch_cost: 0.6290 data_cost: 0.0017 ips: 63.5897 images/s
[07/29 02:46:58] ppdet.engine INFO: Epoch: [261] [240/732] learning_rate: 0.016475 loss_vfl: 0.933003 loss_bbox: 0.468091 loss_dfl: 0.423252 loss: 1.813623 eta: 7:38:55 batch_cost: 0.6320 data_cost: 0.0003 ips: 63.2866 images/s
[07/29 02:47:13] ppdet.engine INFO: Epoch: [261] [260/732] learning_rate: 0.016472 loss_vfl: 0.877935 loss_bbox: 0.453446 loss_dfl: 0.411183 loss: 1.718845 eta: 7:38:35 batch_cost: 0.5865 data_cost: 0.0003 ips: 68.2030 images/s
[07/29 02:47:28] ppdet.engine INFO: Epoch: [261] [280/732] learning_rate: 0.016469 loss_vfl: 0.897233 loss_bbox: 0.428247 loss_dfl: 0.398221 loss: 1.723873 eta: 7:38:14 batch_cost: 0.6101 data_cost: 0.0004 ips: 65.5675 images/s
[07/29 02:47:42] ppdet.engine INFO: Epoch: [261] [300/732] learning_rate: 0.016466 loss_vfl: 0.885934 loss_bbox: 0.428394 loss_dfl: 0.413997 loss: 1.740907 eta: 7:37:54 batch_cost: 0.5848 data_cost: 0.0004 ips: 68.3975 images/s
[07/29 02:47:58] ppdet.engine INFO: Epoch: [261] [320/732] learning_rate: 0.016463 loss_vfl: 0.853187 loss_bbox: 0.423106 loss_dfl: 0.393448 loss: 1.677269 eta: 7:37:33 batch_cost: 0.6578 data_cost: 0.0003 ips: 60.8070 images/s
[07/29 02:48:13] ppdet.engine INFO: Epoch: [261] [340/732] learning_rate: 0.016460 loss_vfl: 0.933573 loss_bbox: 0.452855 loss_dfl: 0.437933 loss: 1.795093 eta: 7:37:13 batch_cost: 0.6104 data_cost: 0.0003 ips: 65.5320 images/s
[07/29 02:48:27] ppdet.engine INFO: Epoch: [261] [360/732] learning_rate: 0.016457 loss_vfl: 0.938506 loss_bbox: 0.451836 loss_dfl: 0.411958 loss: 1.804127 eta: 7:36:52 batch_cost: 0.5842 data_cost: 0.0009 ips: 68.4698 images/s
[07/29 02:48:43] ppdet.engine INFO: Epoch: [261] [380/732] learning_rate: 0.016454 loss_vfl: 0.896091 loss_bbox: 0.438638 loss_dfl: 0.413061 loss: 1.764162 eta: 7:36:32 batch_cost: 0.6120 data_cost: 0.0003 ips: 65.3589 images/s
[07/29 02:48:58] ppdet.engine INFO: Epoch: [261] [400/732] learning_rate: 0.016451 loss_vfl: 0.878582 loss_bbox: 0.427839 loss_dfl: 0.395520 loss: 1.688818 eta: 7:36:11 batch_cost: 0.6261 data_cost: 0.0003 ips: 63.8915 images/s
[07/29 02:49:12] ppdet.engine INFO: Epoch: [261] [420/732] learning_rate: 0.016448 loss_vfl: 0.903032 loss_bbox: 0.431841 loss_dfl: 0.396908 loss: 1.701910 eta: 7:35:50 batch_cost: 0.5709 data_cost: 0.0003 ips: 70.0687 images/s
[07/29 02:49:26] ppdet.engine INFO: Epoch: [261] [440/732] learning_rate: 0.016446 loss_vfl: 0.883567 loss_bbox: 0.449127 loss_dfl: 0.407435 loss: 1.733972 eta: 7:35:30 batch_cost: 0.5548 data_cost: 0.0009 ips: 72.0977 images/s
[07/29 02:49:41] ppdet.engine INFO: Epoch: [261] [460/732] learning_rate: 0.016443 loss_vfl: 0.862625 loss_bbox: 0.425852 loss_dfl: 0.398271 loss: 1.676349 eta: 7:35:09 batch_cost: 0.5801 data_cost: 0.0007 ips: 68.9498 images/s
[07/29 02:49:56] ppdet.engine INFO: Epoch: [261] [480/732] learning_rate: 0.016440 loss_vfl: 0.881016 loss_bbox: 0.426934 loss_dfl: 0.395773 loss: 1.710068 eta: 7:34:49 batch_cost: 0.6219 data_cost: 0.0004 ips: 64.3193 images/s
[07/29 02:50:10] ppdet.engine INFO: Epoch: [261] [500/732] learning_rate: 0.016437 loss_vfl: 0.873686 loss_bbox: 0.430332 loss_dfl: 0.393348 loss: 1.714812 eta: 7:34:28 batch_cost: 0.5426 data_cost: 0.0004 ips: 73.7257 images/s
[07/29 02:50:25] ppdet.engine INFO: Epoch: [261] [520/732] learning_rate: 0.016434 loss_vfl: 0.875204 loss_bbox: 0.433446 loss_dfl: 0.415101 loss: 1.755600 eta: 7:34:08 batch_cost: 0.6106 data_cost: 0.0003 ips: 65.5084 images/s
[07/29 02:50:40] ppdet.engine INFO: Epoch: [261] [540/732] learning_rate: 0.016431 loss_vfl: 0.928331 loss_bbox: 0.446492 loss_dfl: 0.411186 loss: 1.774535 eta: 7:33:47 batch_cost: 0.6431 data_cost: 0.0009 ips: 62.2018 images/s
[07/29 02:50:55] ppdet.engine INFO: Epoch: [261] [560/732] learning_rate: 0.016428 loss_vfl: 0.915080 loss_bbox: 0.454286 loss_dfl: 0.410245 loss: 1.758520 eta: 7:33:27 batch_cost: 0.6192 data_cost: 0.0003 ips: 64.6034 images/s
[07/29 02:51:10] ppdet.engine INFO: Epoch: [261] [580/732] learning_rate: 0.016425 loss_vfl: 0.946275 loss_bbox: 0.466517 loss_dfl: 0.431796 loss: 1.823741 eta: 7:33:06 batch_cost: 0.6140 data_cost: 0.0003 ips: 65.1483 images/s
[07/29 02:51:25] ppdet.engine INFO: Epoch: [261] [600/732] learning_rate: 0.016423 loss_vfl: 0.909775 loss_bbox: 0.449850 loss_dfl: 0.415378 loss: 1.779397 eta: 7:32:46 batch_cost: 0.6255 data_cost: 0.0004 ips: 63.9501 images/s
[07/29 02:51:40] ppdet.engine INFO: Epoch: [261] [620/732] learning_rate: 0.016420 loss_vfl: 0.957706 loss_bbox: 0.449518 loss_dfl: 0.429867 loss: 1.852817 eta: 7:32:25 batch_cost: 0.6279 data_cost: 0.0014 ips: 63.7006 images/s
[07/29 02:51:55] ppdet.engine INFO: Epoch: [261] [640/732] learning_rate: 0.016417 loss_vfl: 0.925864 loss_bbox: 0.446086 loss_dfl: 0.411988 loss: 1.803438 eta: 7:32:05 batch_cost: 0.6326 data_cost: 0.0003 ips: 63.2292 images/s
[07/29 02:52:11] ppdet.engine INFO: Epoch: [261] [660/732] learning_rate: 0.016414 loss_vfl: 0.914611 loss_bbox: 0.445047 loss_dfl: 0.416444 loss: 1.772351 eta: 7:31:44 batch_cost: 0.6047 data_cost: 0.0003 ips: 66.1510 images/s
[07/29 02:52:26] ppdet.engine INFO: Epoch: [261] [680/732] learning_rate: 0.016411 loss_vfl: 0.888706 loss_bbox: 0.448697 loss_dfl: 0.404083 loss: 1.732114 eta: 7:31:24 batch_cost: 0.5932 data_cost: 0.0003 ips: 67.4262 images/s
[07/29 02:52:42] ppdet.engine INFO: Epoch: [261] [700/732] learning_rate: 0.016409 loss_vfl: 0.953287 loss_bbox: 0.461280 loss_dfl: 0.425941 loss: 1.828237 eta: 7:31:03 batch_cost: 0.6364 data_cost: 0.0003 ips: 62.8547 images/s
[07/29 02:52:57] ppdet.engine INFO: Epoch: [261] [720/732] learning_rate: 0.016406 loss_vfl: 0.933509 loss_bbox: 0.450291 loss_dfl: 0.416514 loss: 1.792536 eta: 7:30:43 batch_cost: 0.6363 data_cost: 0.0017 ips: 62.8625 images/s
[07/29 02:53:12] ppdet.engine INFO: Epoch: [262] [  0/732] learning_rate: 0.016404 loss_vfl: 0.880198 loss_bbox: 0.420012 loss_dfl: 0.397837 loss: 1.674951 eta: 7:30:31 batch_cost: 0.8808 data_cost: 0.1600 ips: 45.4136 images/s
[07/29 02:53:28] ppdet.engine INFO: Epoch: [262] [ 20/732] learning_rate: 0.016401 loss_vfl: 0.833776 loss_bbox: 0.407429 loss_dfl: 0.379565 loss: 1.598417 eta: 7:30:11 batch_cost: 0.6878 data_cost: 0.0003 ips: 58.1607 images/s
[07/29 02:53:45] ppdet.engine INFO: Epoch: [262] [ 40/732] learning_rate: 0.016399 loss_vfl: 0.915141 loss_bbox: 0.453115 loss_dfl: 0.415471 loss: 1.798094 eta: 7:29:51 batch_cost: 0.6921 data_cost: 0.0004 ips: 57.7968 images/s
[07/29 02:54:01] ppdet.engine INFO: Epoch: [262] [ 60/732] learning_rate: 0.016396 loss_vfl: 0.877501 loss_bbox: 0.410344 loss_dfl: 0.389601 loss: 1.677100 eta: 7:29:31 batch_cost: 0.6687 data_cost: 0.0004 ips: 59.8147 images/s
[07/29 02:54:16] ppdet.engine INFO: Epoch: [262] [ 80/732] learning_rate: 0.016393 loss_vfl: 0.913126 loss_bbox: 0.458651 loss_dfl: 0.415121 loss: 1.815866 eta: 7:29:10 batch_cost: 0.6396 data_cost: 0.0020 ips: 62.5412 images/s
[07/29 02:54:32] ppdet.engine INFO: Epoch: [262] [100/732] learning_rate: 0.016391 loss_vfl: 0.883492 loss_bbox: 0.433865 loss_dfl: 0.402211 loss: 1.726683 eta: 7:28:50 batch_cost: 0.6500 data_cost: 0.0004 ips: 61.5365 images/s
[07/29 02:54:47] ppdet.engine INFO: Epoch: [262] [120/732] learning_rate: 0.016388 loss_vfl: 0.952286 loss_bbox: 0.468868 loss_dfl: 0.433475 loss: 1.875620 eta: 7:28:29 batch_cost: 0.5991 data_cost: 0.0004 ips: 66.7698 images/s
[07/29 02:55:03] ppdet.engine INFO: Epoch: [262] [140/732] learning_rate: 0.016385 loss_vfl: 0.904480 loss_bbox: 0.456699 loss_dfl: 0.424543 loss: 1.787000 eta: 7:28:09 batch_cost: 0.6725 data_cost: 0.0003 ips: 59.4792 images/s
[07/29 02:55:19] ppdet.engine INFO: Epoch: [262] [160/732] learning_rate: 0.016382 loss_vfl: 0.914524 loss_bbox: 0.448463 loss_dfl: 0.415462 loss: 1.786062 eta: 7:27:49 batch_cost: 0.5976 data_cost: 0.0011 ips: 66.9310 images/s
[07/29 02:55:34] ppdet.engine INFO: Epoch: [262] [180/732] learning_rate: 0.016380 loss_vfl: 0.965828 loss_bbox: 0.488781 loss_dfl: 0.435202 loss: 1.893625 eta: 7:27:28 batch_cost: 0.6231 data_cost: 0.0006 ips: 64.1979 images/s
[07/29 02:55:49] ppdet.engine INFO: Epoch: [262] [200/732] learning_rate: 0.016377 loss_vfl: 0.896543 loss_bbox: 0.457650 loss_dfl: 0.414954 loss: 1.800056 eta: 7:27:08 batch_cost: 0.6074 data_cost: 0.0004 ips: 65.8594 images/s
[07/29 02:56:03] ppdet.engine INFO: Epoch: [262] [220/732] learning_rate: 0.016374 loss_vfl: 0.947189 loss_bbox: 0.456697 loss_dfl: 0.432763 loss: 1.818983 eta: 7:26:47 batch_cost: 0.5845 data_cost: 0.0010 ips: 68.4360 images/s
[07/29 02:56:18] ppdet.engine INFO: Epoch: [262] [240/732] learning_rate: 0.016372 loss_vfl: 0.916808 loss_bbox: 0.432270 loss_dfl: 0.416911 loss: 1.777833 eta: 7:26:27 batch_cost: 0.6040 data_cost: 0.0003 ips: 66.2217 images/s
[07/29 02:56:33] ppdet.engine INFO: Epoch: [262] [260/732] learning_rate: 0.016369 loss_vfl: 0.925947 loss_bbox: 0.446232 loss_dfl: 0.416974 loss: 1.796515 eta: 7:26:06 batch_cost: 0.6508 data_cost: 0.0028 ips: 61.4628 images/s
[07/29 02:56:49] ppdet.engine INFO: Epoch: [262] [280/732] learning_rate: 0.016367 loss_vfl: 0.824725 loss_bbox: 0.405024 loss_dfl: 0.382526 loss: 1.631562 eta: 7:25:46 batch_cost: 0.6015 data_cost: 0.0022 ips: 66.5027 images/s
[07/29 02:57:03] ppdet.engine INFO: Epoch: [262] [300/732] learning_rate: 0.016364 loss_vfl: 0.909992 loss_bbox: 0.459633 loss_dfl: 0.417169 loss: 1.764781 eta: 7:25:25 batch_cost: 0.5944 data_cost: 0.0003 ips: 67.2953 images/s
[07/29 02:57:18] ppdet.engine INFO: Epoch: [262] [320/732] learning_rate: 0.016361 loss_vfl: 0.889979 loss_bbox: 0.436363 loss_dfl: 0.413290 loss: 1.742334 eta: 7:25:05 batch_cost: 0.6047 data_cost: 0.0004 ips: 66.1521 images/s
[07/29 02:57:33] ppdet.engine INFO: Epoch: [262] [340/732] learning_rate: 0.016359 loss_vfl: 0.902370 loss_bbox: 0.450928 loss_dfl: 0.417720 loss: 1.771227 eta: 7:24:44 batch_cost: 0.6627 data_cost: 0.0069 ips: 60.3617 images/s
[07/29 02:57:48] ppdet.engine INFO: Epoch: [262] [360/732] learning_rate: 0.016356 loss_vfl: 0.909972 loss_bbox: 0.458130 loss_dfl: 0.410307 loss: 1.765234 eta: 7:24:24 batch_cost: 0.5794 data_cost: 0.0010 ips: 69.0349 images/s
[07/29 02:58:02] ppdet.engine INFO: Epoch: [262] [380/732] learning_rate: 0.016354 loss_vfl: 0.895088 loss_bbox: 0.460826 loss_dfl: 0.413746 loss: 1.772133 eta: 7:24:03 batch_cost: 0.5810 data_cost: 0.0005 ips: 68.8507 images/s
[07/29 02:58:17] ppdet.engine INFO: Epoch: [262] [400/732] learning_rate: 0.016351 loss_vfl: 0.898349 loss_bbox: 0.440782 loss_dfl: 0.404690 loss: 1.752674 eta: 7:23:43 batch_cost: 0.6146 data_cost: 0.0004 ips: 65.0826 images/s
[07/29 02:58:32] ppdet.engine INFO: Epoch: [262] [420/732] learning_rate: 0.016348 loss_vfl: 0.872823 loss_bbox: 0.436127 loss_dfl: 0.410552 loss: 1.721491 eta: 7:23:22 batch_cost: 0.5876 data_cost: 0.0010 ips: 68.0680 images/s
[07/29 02:58:47] ppdet.engine INFO: Epoch: [262] [440/732] learning_rate: 0.016346 loss_vfl: 0.873809 loss_bbox: 0.421680 loss_dfl: 0.399507 loss: 1.695905 eta: 7:23:02 batch_cost: 0.6107 data_cost: 0.0008 ips: 65.4971 images/s
[07/29 02:59:02] ppdet.engine INFO: Epoch: [262] [460/732] learning_rate: 0.016343 loss_vfl: 0.906862 loss_bbox: 0.447928 loss_dfl: 0.411804 loss: 1.767882 eta: 7:22:41 batch_cost: 0.5943 data_cost: 0.0011 ips: 67.3083 images/s
[07/29 02:59:18] ppdet.engine INFO: Epoch: [262] [480/732] learning_rate: 0.016341 loss_vfl: 0.861694 loss_bbox: 0.423892 loss_dfl: 0.386488 loss: 1.654023 eta: 7:22:21 batch_cost: 0.6430 data_cost: 0.0016 ips: 62.2043 images/s
[07/29 02:59:33] ppdet.engine INFO: Epoch: [262] [500/732] learning_rate: 0.016338 loss_vfl: 0.855470 loss_bbox: 0.424783 loss_dfl: 0.391972 loss: 1.662158 eta: 7:22:01 batch_cost: 0.6019 data_cost: 0.0003 ips: 66.4578 images/s
[07/29 02:59:49] ppdet.engine INFO: Epoch: [262] [520/732] learning_rate: 0.016336 loss_vfl: 0.925051 loss_bbox: 0.459060 loss_dfl: 0.425708 loss: 1.808784 eta: 7:21:40 batch_cost: 0.6648 data_cost: 0.0003 ips: 60.1658 images/s
[07/29 03:00:03] ppdet.engine INFO: Epoch: [262] [540/732] learning_rate: 0.016333 loss_vfl: 0.870476 loss_bbox: 0.427373 loss_dfl: 0.392645 loss: 1.699103 eta: 7:21:20 batch_cost: 0.5683 data_cost: 0.0004 ips: 70.3849 images/s
[07/29 03:00:19] ppdet.engine INFO: Epoch: [262] [560/732] learning_rate: 0.016331 loss_vfl: 0.893847 loss_bbox: 0.429172 loss_dfl: 0.405245 loss: 1.711449 eta: 7:21:00 batch_cost: 0.6570 data_cost: 0.0017 ips: 60.8856 images/s
[07/29 03:00:34] ppdet.engine INFO: Epoch: [262] [580/732] learning_rate: 0.016328 loss_vfl: 0.860132 loss_bbox: 0.430537 loss_dfl: 0.395028 loss: 1.664428 eta: 7:20:39 batch_cost: 0.6137 data_cost: 0.0003 ips: 65.1742 images/s
[07/29 03:00:50] ppdet.engine INFO: Epoch: [262] [600/732] learning_rate: 0.016326 loss_vfl: 0.955064 loss_bbox: 0.462924 loss_dfl: 0.427203 loss: 1.831148 eta: 7:20:19 batch_cost: 0.6637 data_cost: 0.0018 ips: 60.2702 images/s
[07/29 03:01:05] ppdet.engine INFO: Epoch: [262] [620/732] learning_rate: 0.016323 loss_vfl: 0.847520 loss_bbox: 0.431622 loss_dfl: 0.405616 loss: 1.698400 eta: 7:19:58 batch_cost: 0.5903 data_cost: 0.0008 ips: 67.7655 images/s
[07/29 03:01:20] ppdet.engine INFO: Epoch: [262] [640/732] learning_rate: 0.016321 loss_vfl: 0.887601 loss_bbox: 0.437054 loss_dfl: 0.399793 loss: 1.725422 eta: 7:19:38 batch_cost: 0.5931 data_cost: 0.0015 ips: 67.4465 images/s
[07/29 03:01:34] ppdet.engine INFO: Epoch: [262] [660/732] learning_rate: 0.016318 loss_vfl: 0.874878 loss_bbox: 0.435212 loss_dfl: 0.409923 loss: 1.719676 eta: 7:19:17 batch_cost: 0.5726 data_cost: 0.0003 ips: 69.8526 images/s
[07/29 03:01:49] ppdet.engine INFO: Epoch: [262] [680/732] learning_rate: 0.016316 loss_vfl: 0.879635 loss_bbox: 0.414909 loss_dfl: 0.392235 loss: 1.688450 eta: 7:18:57 batch_cost: 0.6026 data_cost: 0.0003 ips: 66.3779 images/s
[07/29 03:02:04] ppdet.engine INFO: Epoch: [262] [700/732] learning_rate: 0.016313 loss_vfl: 0.875261 loss_bbox: 0.433573 loss_dfl: 0.411929 loss: 1.733784 eta: 7:18:37 batch_cost: 0.6429 data_cost: 0.0004 ips: 62.2193 images/s
[07/29 03:02:18] ppdet.engine INFO: Epoch: [262] [720/732] learning_rate: 0.016311 loss_vfl: 0.899296 loss_bbox: 0.452301 loss_dfl: 0.420344 loss: 1.784574 eta: 7:18:16 batch_cost: 0.5775 data_cost: 0.0013 ips: 69.2684 images/s
[07/29 03:02:30] ppdet.engine INFO: Epoch: [263] [  0/732] learning_rate: 0.016310 loss_vfl: 0.959880 loss_bbox: 0.483410 loss_dfl: 0.430317 loss: 1.876410 eta: 7:18:04 batch_cost: 0.7187 data_cost: 0.1801 ips: 55.6522 images/s
[07/29 03:02:48] ppdet.engine INFO: Epoch: [263] [ 20/732] learning_rate: 0.016307 loss_vfl: 0.911972 loss_bbox: 0.451130 loss_dfl: 0.421220 loss: 1.788777 eta: 7:17:44 batch_cost: 0.7244 data_cost: 0.0004 ips: 55.2204 images/s
[07/29 03:03:04] ppdet.engine INFO: Epoch: [263] [ 40/732] learning_rate: 0.016305 loss_vfl: 0.923735 loss_bbox: 0.440428 loss_dfl: 0.419987 loss: 1.792475 eta: 7:17:24 batch_cost: 0.6046 data_cost: 0.0004 ips: 66.1618 images/s
[07/29 03:03:20] ppdet.engine INFO: Epoch: [263] [ 60/732] learning_rate: 0.016302 loss_vfl: 0.928494 loss_bbox: 0.457770 loss_dfl: 0.428312 loss: 1.816581 eta: 7:17:03 batch_cost: 0.6684 data_cost: 0.0003 ips: 59.8479 images/s
[07/29 03:03:36] ppdet.engine INFO: Epoch: [263] [ 80/732] learning_rate: 0.016300 loss_vfl: 0.862205 loss_bbox: 0.423275 loss_dfl: 0.400283 loss: 1.682093 eta: 7:16:43 batch_cost: 0.6718 data_cost: 0.0003 ips: 59.5425 images/s
[07/29 03:03:51] ppdet.engine INFO: Epoch: [263] [100/732] learning_rate: 0.016298 loss_vfl: 0.879709 loss_bbox: 0.411805 loss_dfl: 0.388385 loss: 1.670900 eta: 7:16:23 batch_cost: 0.5923 data_cost: 0.0004 ips: 67.5337 images/s
[07/29 03:04:06] ppdet.engine INFO: Epoch: [263] [120/732] learning_rate: 0.016295 loss_vfl: 0.879254 loss_bbox: 0.410837 loss_dfl: 0.394182 loss: 1.671535 eta: 7:16:02 batch_cost: 0.6102 data_cost: 0.0003 ips: 65.5558 images/s
[07/29 03:04:22] ppdet.engine INFO: Epoch: [263] [140/732] learning_rate: 0.016293 loss_vfl: 0.937682 loss_bbox: 0.459206 loss_dfl: 0.432483 loss: 1.815757 eta: 7:15:42 batch_cost: 0.6568 data_cost: 0.0003 ips: 60.9044 images/s
[07/29 03:04:37] ppdet.engine INFO: Epoch: [263] [160/732] learning_rate: 0.016291 loss_vfl: 0.910317 loss_bbox: 0.451361 loss_dfl: 0.421819 loss: 1.787999 eta: 7:15:22 batch_cost: 0.6481 data_cost: 0.0023 ips: 61.7182 images/s
[07/29 03:04:52] ppdet.engine INFO: Epoch: [263] [180/732] learning_rate: 0.016288 loss_vfl: 0.884284 loss_bbox: 0.433788 loss_dfl: 0.405040 loss: 1.695553 eta: 7:15:01 batch_cost: 0.6112 data_cost: 0.0009 ips: 65.4404 images/s
[07/29 03:05:08] ppdet.engine INFO: Epoch: [263] [200/732] learning_rate: 0.016286 loss_vfl: 0.853110 loss_bbox: 0.404322 loss_dfl: 0.392822 loss: 1.646778 eta: 7:14:41 batch_cost: 0.6477 data_cost: 0.0015 ips: 61.7601 images/s
[07/29 03:05:24] ppdet.engine INFO: Epoch: [263] [220/732] learning_rate: 0.016284 loss_vfl: 0.956478 loss_bbox: 0.458305 loss_dfl: 0.435647 loss: 1.861009 eta: 7:14:21 batch_cost: 0.6614 data_cost: 0.0028 ips: 60.4813 images/s
[07/29 03:05:40] ppdet.engine INFO: Epoch: [263] [240/732] learning_rate: 0.016281 loss_vfl: 0.840784 loss_bbox: 0.442749 loss_dfl: 0.393957 loss: 1.681204 eta: 7:14:00 batch_cost: 0.6361 data_cost: 0.0003 ips: 62.8824 images/s
[07/29 03:05:55] ppdet.engine INFO: Epoch: [263] [260/732] learning_rate: 0.016279 loss_vfl: 0.898174 loss_bbox: 0.436509 loss_dfl: 0.408354 loss: 1.761101 eta: 7:13:40 batch_cost: 0.6300 data_cost: 0.0003 ips: 63.4916 images/s
[07/29 03:06:10] ppdet.engine INFO: Epoch: [263] [280/732] learning_rate: 0.016277 loss_vfl: 0.878604 loss_bbox: 0.449412 loss_dfl: 0.404225 loss: 1.726384 eta: 7:13:20 batch_cost: 0.6323 data_cost: 0.0009 ips: 63.2600 images/s
[07/29 03:06:25] ppdet.engine INFO: Epoch: [263] [300/732] learning_rate: 0.016274 loss_vfl: 0.870883 loss_bbox: 0.429970 loss_dfl: 0.396077 loss: 1.696525 eta: 7:12:59 batch_cost: 0.6184 data_cost: 0.0009 ips: 64.6864 images/s
[07/29 03:06:41] ppdet.engine INFO: Epoch: [263] [320/732] learning_rate: 0.016272 loss_vfl: 0.924548 loss_bbox: 0.442994 loss_dfl: 0.417459 loss: 1.771756 eta: 7:12:39 batch_cost: 0.6358 data_cost: 0.0003 ips: 62.9084 images/s
[07/29 03:06:56] ppdet.engine INFO: Epoch: [263] [340/732] learning_rate: 0.016270 loss_vfl: 0.913728 loss_bbox: 0.454979 loss_dfl: 0.414900 loss: 1.783154 eta: 7:12:19 batch_cost: 0.6236 data_cost: 0.0003 ips: 64.1475 images/s
[07/29 03:07:11] ppdet.engine INFO: Epoch: [263] [360/732] learning_rate: 0.016268 loss_vfl: 0.912533 loss_bbox: 0.417435 loss_dfl: 0.409963 loss: 1.762989 eta: 7:11:58 batch_cost: 0.6087 data_cost: 0.0009 ips: 65.7105 images/s
[07/29 03:07:26] ppdet.engine INFO: Epoch: [263] [380/732] learning_rate: 0.016265 loss_vfl: 0.871295 loss_bbox: 0.426118 loss_dfl: 0.400875 loss: 1.703442 eta: 7:11:38 batch_cost: 0.5981 data_cost: 0.0003 ips: 66.8756 images/s
[07/29 03:07:40] ppdet.engine INFO: Epoch: [263] [400/732] learning_rate: 0.016263 loss_vfl: 0.887122 loss_bbox: 0.449603 loss_dfl: 0.412801 loss: 1.738143 eta: 7:11:17 batch_cost: 0.6278 data_cost: 0.0003 ips: 63.7099 images/s
[07/29 03:07:55] ppdet.engine INFO: Epoch: [263] [420/732] learning_rate: 0.016261 loss_vfl: 0.889885 loss_bbox: 0.426040 loss_dfl: 0.398902 loss: 1.720764 eta: 7:10:57 batch_cost: 0.6086 data_cost: 0.0010 ips: 65.7211 images/s
[07/29 03:08:12] ppdet.engine INFO: Epoch: [263] [440/732] learning_rate: 0.016259 loss_vfl: 0.889252 loss_bbox: 0.422192 loss_dfl: 0.386951 loss: 1.677189 eta: 7:10:37 batch_cost: 0.6925 data_cost: 0.0003 ips: 57.7622 images/s
[07/29 03:08:27] ppdet.engine INFO: Epoch: [263] [460/732] learning_rate: 0.016256 loss_vfl: 0.862511 loss_bbox: 0.433986 loss_dfl: 0.397688 loss: 1.701212 eta: 7:10:17 batch_cost: 0.6596 data_cost: 0.0003 ips: 60.6398 images/s
[07/29 03:08:43] ppdet.engine INFO: Epoch: [263] [480/732] learning_rate: 0.016254 loss_vfl: 0.860582 loss_bbox: 0.409703 loss_dfl: 0.386508 loss: 1.650248 eta: 7:09:56 batch_cost: 0.6218 data_cost: 0.0009 ips: 64.3279 images/s
[07/29 03:08:58] ppdet.engine INFO: Epoch: [263] [500/732] learning_rate: 0.016252 loss_vfl: 0.907040 loss_bbox: 0.434889 loss_dfl: 0.406308 loss: 1.723997 eta: 7:09:36 batch_cost: 0.5956 data_cost: 0.0003 ips: 67.1591 images/s
[07/29 03:09:13] ppdet.engine INFO: Epoch: [263] [520/732] learning_rate: 0.016250 loss_vfl: 0.897452 loss_bbox: 0.439176 loss_dfl: 0.407711 loss: 1.738522 eta: 7:09:15 batch_cost: 0.6238 data_cost: 0.0003 ips: 64.1235 images/s
[07/29 03:09:27] ppdet.engine INFO: Epoch: [263] [540/732] learning_rate: 0.016248 loss_vfl: 0.860757 loss_bbox: 0.445185 loss_dfl: 0.401855 loss: 1.696644 eta: 7:08:55 batch_cost: 0.5944 data_cost: 0.0003 ips: 67.2948 images/s
[07/29 03:09:43] ppdet.engine INFO: Epoch: [263] [560/732] learning_rate: 0.016246 loss_vfl: 0.852727 loss_bbox: 0.428821 loss_dfl: 0.401768 loss: 1.673455 eta: 7:08:35 batch_cost: 0.6255 data_cost: 0.0003 ips: 63.9469 images/s
[07/29 03:09:58] ppdet.engine INFO: Epoch: [263] [580/732] learning_rate: 0.016243 loss_vfl: 0.865132 loss_bbox: 0.415514 loss_dfl: 0.392105 loss: 1.681006 eta: 7:08:14 batch_cost: 0.6194 data_cost: 0.0026 ips: 64.5738 images/s
[07/29 03:10:14] ppdet.engine INFO: Epoch: [263] [600/732] learning_rate: 0.016241 loss_vfl: 0.892208 loss_bbox: 0.441235 loss_dfl: 0.409774 loss: 1.745436 eta: 7:07:54 batch_cost: 0.6280 data_cost: 0.0003 ips: 63.6931 images/s
[07/29 03:10:29] ppdet.engine INFO: Epoch: [263] [620/732] learning_rate: 0.016239 loss_vfl: 0.893040 loss_bbox: 0.446565 loss_dfl: 0.421684 loss: 1.765018 eta: 7:07:34 batch_cost: 0.6019 data_cost: 0.0003 ips: 66.4550 images/s
[07/29 03:10:45] ppdet.engine INFO: Epoch: [263] [640/732] learning_rate: 0.016237 loss_vfl: 0.903881 loss_bbox: 0.423194 loss_dfl: 0.387696 loss: 1.707313 eta: 7:07:13 batch_cost: 0.6485 data_cost: 0.0013 ips: 61.6773 images/s
[07/29 03:10:59] ppdet.engine INFO: Epoch: [263] [660/732] learning_rate: 0.016235 loss_vfl: 0.864401 loss_bbox: 0.434570 loss_dfl: 0.399820 loss: 1.687706 eta: 7:06:53 batch_cost: 0.6019 data_cost: 0.0003 ips: 66.4550 images/s
[07/29 03:11:14] ppdet.engine INFO: Epoch: [263] [680/732] learning_rate: 0.016233 loss_vfl: 0.892976 loss_bbox: 0.455137 loss_dfl: 0.416417 loss: 1.768935 eta: 7:06:33 batch_cost: 0.6059 data_cost: 0.0012 ips: 66.0134 images/s
[07/29 03:11:29] ppdet.engine INFO: Epoch: [263] [700/732] learning_rate: 0.016231 loss_vfl: 0.855174 loss_bbox: 0.425796 loss_dfl: 0.382845 loss: 1.645877 eta: 7:06:12 batch_cost: 0.6453 data_cost: 0.0010 ips: 61.9901 images/s
[07/29 03:11:44] ppdet.engine INFO: Epoch: [263] [720/732] learning_rate: 0.016229 loss_vfl: 0.917030 loss_bbox: 0.431641 loss_dfl: 0.411275 loss: 1.767390 eta: 7:05:52 batch_cost: 0.5833 data_cost: 0.0003 ips: 68.5747 images/s
[07/29 03:11:59] ppdet.engine INFO: Epoch: [264] [  0/732] learning_rate: 0.016227 loss_vfl: 0.903213 loss_bbox: 0.441377 loss_dfl: 0.407184 loss: 1.744644 eta: 7:05:40 batch_cost: 0.8097 data_cost: 0.2402 ips: 49.3984 images/s
[07/29 03:12:15] ppdet.engine INFO: Epoch: [264] [ 20/732] learning_rate: 0.016225 loss_vfl: 0.871128 loss_bbox: 0.445329 loss_dfl: 0.411663 loss: 1.760109 eta: 7:05:20 batch_cost: 0.6683 data_cost: 0.0016 ips: 59.8575 images/s
[07/29 03:12:30] ppdet.engine INFO: Epoch: [264] [ 40/732] learning_rate: 0.016223 loss_vfl: 0.902842 loss_bbox: 0.449352 loss_dfl: 0.412090 loss: 1.769992 eta: 7:05:00 batch_cost: 0.6132 data_cost: 0.0009 ips: 65.2280 images/s
[07/29 03:12:44] ppdet.engine INFO: Epoch: [264] [ 60/732] learning_rate: 0.016221 loss_vfl: 0.893017 loss_bbox: 0.450497 loss_dfl: 0.402367 loss: 1.742579 eta: 7:04:39 batch_cost: 0.5286 data_cost: 0.0003 ips: 75.6666 images/s
[07/29 03:12:59] ppdet.engine INFO: Epoch: [264] [ 80/732] learning_rate: 0.016219 loss_vfl: 0.917171 loss_bbox: 0.469357 loss_dfl: 0.428327 loss: 1.833568 eta: 7:04:19 batch_cost: 0.6174 data_cost: 0.0009 ips: 64.7857 images/s
[07/29 03:13:13] ppdet.engine INFO: Epoch: [264] [100/732] learning_rate: 0.016217 loss_vfl: 0.954803 loss_bbox: 0.469808 loss_dfl: 0.428738 loss: 1.840944 eta: 7:03:58 batch_cost: 0.5844 data_cost: 0.0009 ips: 68.4503 images/s
[07/29 03:13:28] ppdet.engine INFO: Epoch: [264] [120/732] learning_rate: 0.016215 loss_vfl: 0.883662 loss_bbox: 0.434347 loss_dfl: 0.414406 loss: 1.740919 eta: 7:03:38 batch_cost: 0.5632 data_cost: 0.0003 ips: 71.0243 images/s
[07/29 03:13:43] ppdet.engine INFO: Epoch: [264] [140/732] learning_rate: 0.016213 loss_vfl: 0.798714 loss_bbox: 0.380939 loss_dfl: 0.364721 loss: 1.577198 eta: 7:03:18 batch_cost: 0.6292 data_cost: 0.0013 ips: 63.5700 images/s
[07/29 03:13:58] ppdet.engine INFO: Epoch: [264] [160/732] learning_rate: 0.016211 loss_vfl: 0.888486 loss_bbox: 0.442714 loss_dfl: 0.416163 loss: 1.741643 eta: 7:02:57 batch_cost: 0.6229 data_cost: 0.0003 ips: 64.2144 images/s
[07/29 03:14:12] ppdet.engine INFO: Epoch: [264] [180/732] learning_rate: 0.016209 loss_vfl: 0.890590 loss_bbox: 0.428191 loss_dfl: 0.409769 loss: 1.743672 eta: 7:02:37 batch_cost: 0.5755 data_cost: 0.0009 ips: 69.5060 images/s
[07/29 03:14:26] ppdet.engine INFO: Epoch: [264] [200/732] learning_rate: 0.016207 loss_vfl: 0.887663 loss_bbox: 0.427578 loss_dfl: 0.400042 loss: 1.721960 eta: 7:02:16 batch_cost: 0.5749 data_cost: 0.0009 ips: 69.5766 images/s
[07/29 03:14:42] ppdet.engine INFO: Epoch: [264] [220/732] learning_rate: 0.016205 loss_vfl: 0.884369 loss_bbox: 0.411033 loss_dfl: 0.394858 loss: 1.675699 eta: 7:01:56 batch_cost: 0.5969 data_cost: 0.0003 ips: 67.0150 images/s
[07/29 03:14:57] ppdet.engine INFO: Epoch: [264] [240/732] learning_rate: 0.016203 loss_vfl: 0.884198 loss_bbox: 0.441177 loss_dfl: 0.402994 loss: 1.740928 eta: 7:01:36 batch_cost: 0.6167 data_cost: 0.0003 ips: 64.8597 images/s
[07/29 03:15:12] ppdet.engine INFO: Epoch: [264] [260/732] learning_rate: 0.016201 loss_vfl: 0.879640 loss_bbox: 0.434644 loss_dfl: 0.405785 loss: 1.718701 eta: 7:01:15 batch_cost: 0.6015 data_cost: 0.0003 ips: 66.4951 images/s
[07/29 03:15:26] ppdet.engine INFO: Epoch: [264] [280/732] learning_rate: 0.016199 loss_vfl: 0.899653 loss_bbox: 0.457331 loss_dfl: 0.410942 loss: 1.753314 eta: 7:00:55 batch_cost: 0.5826 data_cost: 0.0003 ips: 68.6585 images/s
[07/29 03:15:39] ppdet.engine INFO: Epoch: [264] [300/732] learning_rate: 0.016197 loss_vfl: 0.866829 loss_bbox: 0.424718 loss_dfl: 0.395298 loss: 1.694614 eta: 7:00:34 batch_cost: 0.5591 data_cost: 0.0003 ips: 71.5457 images/s
[07/29 03:15:55] ppdet.engine INFO: Epoch: [264] [320/732] learning_rate: 0.016196 loss_vfl: 0.919884 loss_bbox: 0.444810 loss_dfl: 0.405325 loss: 1.741429 eta: 7:00:14 batch_cost: 0.6257 data_cost: 0.0018 ips: 63.9316 images/s
[07/29 03:16:12] ppdet.engine INFO: Epoch: [264] [340/732] learning_rate: 0.016194 loss_vfl: 0.936408 loss_bbox: 0.443972 loss_dfl: 0.416988 loss: 1.812678 eta: 6:59:54 batch_cost: 0.7031 data_cost: 0.0003 ips: 56.8884 images/s
[07/29 03:16:26] ppdet.engine INFO: Epoch: [264] [360/732] learning_rate: 0.016192 loss_vfl: 0.858064 loss_bbox: 0.417887 loss_dfl: 0.387271 loss: 1.648646 eta: 6:59:34 batch_cost: 0.5677 data_cost: 0.0008 ips: 70.4627 images/s
[07/29 03:16:41] ppdet.engine INFO: Epoch: [264] [380/732] learning_rate: 0.016190 loss_vfl: 0.893940 loss_bbox: 0.441354 loss_dfl: 0.406841 loss: 1.754755 eta: 6:59:13 batch_cost: 0.6063 data_cost: 0.0003 ips: 65.9767 images/s
[07/29 03:16:55] ppdet.engine INFO: Epoch: [264] [400/732] learning_rate: 0.016188 loss_vfl: 0.917551 loss_bbox: 0.444605 loss_dfl: 0.417813 loss: 1.784917 eta: 6:58:53 batch_cost: 0.5730 data_cost: 0.0010 ips: 69.8131 images/s
[07/29 03:17:10] ppdet.engine INFO: Epoch: [264] [420/732] learning_rate: 0.016186 loss_vfl: 0.859988 loss_bbox: 0.424111 loss_dfl: 0.397894 loss: 1.684020 eta: 6:58:32 batch_cost: 0.5927 data_cost: 0.0008 ips: 67.4886 images/s
[07/29 03:17:25] ppdet.engine INFO: Epoch: [264] [440/732] learning_rate: 0.016184 loss_vfl: 0.909520 loss_bbox: 0.425641 loss_dfl: 0.410928 loss: 1.748641 eta: 6:58:12 batch_cost: 0.6101 data_cost: 0.0003 ips: 65.5609 images/s
[07/29 03:17:40] ppdet.engine INFO: Epoch: [264] [460/732] learning_rate: 0.016182 loss_vfl: 0.846104 loss_bbox: 0.389805 loss_dfl: 0.383573 loss: 1.618463 eta: 6:57:52 batch_cost: 0.6281 data_cost: 0.0003 ips: 63.6836 images/s
[07/29 03:17:54] ppdet.engine INFO: Epoch: [264] [480/732] learning_rate: 0.016180 loss_vfl: 0.880040 loss_bbox: 0.429317 loss_dfl: 0.401871 loss: 1.723386 eta: 6:57:31 batch_cost: 0.5600 data_cost: 0.0006 ips: 71.4258 images/s
[07/29 03:18:08] ppdet.engine INFO: Epoch: [264] [500/732] learning_rate: 0.016179 loss_vfl: 0.893191 loss_bbox: 0.451487 loss_dfl: 0.414473 loss: 1.725111 eta: 6:57:11 batch_cost: 0.5868 data_cost: 0.0013 ips: 68.1682 images/s
[07/29 03:18:22] ppdet.engine INFO: Epoch: [264] [520/732] learning_rate: 0.016177 loss_vfl: 0.880993 loss_bbox: 0.439921 loss_dfl: 0.408041 loss: 1.745618 eta: 6:56:51 batch_cost: 0.5775 data_cost: 0.0007 ips: 69.2661 images/s
[07/29 03:18:37] ppdet.engine INFO: Epoch: [264] [540/732] learning_rate: 0.016175 loss_vfl: 0.872947 loss_bbox: 0.451329 loss_dfl: 0.390776 loss: 1.719545 eta: 6:56:30 batch_cost: 0.5766 data_cost: 0.0031 ips: 69.3685 images/s
[07/29 03:18:52] ppdet.engine INFO: Epoch: [264] [560/732] learning_rate: 0.016173 loss_vfl: 0.848183 loss_bbox: 0.419859 loss_dfl: 0.392100 loss: 1.682684 eta: 6:56:10 batch_cost: 0.6258 data_cost: 0.0010 ips: 63.9171 images/s
[07/29 03:19:07] ppdet.engine INFO: Epoch: [264] [580/732] learning_rate: 0.016171 loss_vfl: 0.874127 loss_bbox: 0.418993 loss_dfl: 0.397487 loss: 1.692662 eta: 6:55:50 batch_cost: 0.5924 data_cost: 0.0009 ips: 67.5265 images/s
[07/29 03:19:23] ppdet.engine INFO: Epoch: [264] [600/732] learning_rate: 0.016170 loss_vfl: 0.935516 loss_bbox: 0.472558 loss_dfl: 0.431473 loss: 1.839876 eta: 6:55:29 batch_cost: 0.6288 data_cost: 0.0021 ips: 63.6094 images/s
[07/29 03:19:40] ppdet.engine INFO: Epoch: [264] [620/732] learning_rate: 0.016168 loss_vfl: 0.922238 loss_bbox: 0.443641 loss_dfl: 0.425110 loss: 1.812670 eta: 6:55:09 batch_cost: 0.6852 data_cost: 0.0009 ips: 58.3730 images/s
[07/29 03:19:55] ppdet.engine INFO: Epoch: [264] [640/732] learning_rate: 0.016166 loss_vfl: 0.893355 loss_bbox: 0.428435 loss_dfl: 0.397874 loss: 1.721490 eta: 6:54:49 batch_cost: 0.6572 data_cost: 0.0003 ips: 60.8636 images/s
[07/29 03:20:09] ppdet.engine INFO: Epoch: [264] [660/732] learning_rate: 0.016164 loss_vfl: 0.903641 loss_bbox: 0.434622 loss_dfl: 0.405356 loss: 1.735039 eta: 6:54:29 batch_cost: 0.5800 data_cost: 0.0007 ips: 68.9698 images/s
[07/29 03:20:24] ppdet.engine INFO: Epoch: [264] [680/732] learning_rate: 0.016163 loss_vfl: 0.930468 loss_bbox: 0.453048 loss_dfl: 0.415809 loss: 1.801575 eta: 6:54:08 batch_cost: 0.6062 data_cost: 0.0013 ips: 65.9795 images/s
[07/29 03:20:40] ppdet.engine INFO: Epoch: [264] [700/732] learning_rate: 0.016161 loss_vfl: 0.907144 loss_bbox: 0.443146 loss_dfl: 0.418735 loss: 1.757958 eta: 6:53:48 batch_cost: 0.6728 data_cost: 0.0003 ips: 59.4519 images/s
[07/29 03:20:55] ppdet.engine INFO: Epoch: [264] [720/732] learning_rate: 0.016159 loss_vfl: 0.861565 loss_bbox: 0.397197 loss_dfl: 0.374048 loss: 1.623935 eta: 6:53:28 batch_cost: 0.6581 data_cost: 0.0015 ips: 60.7796 images/s
[07/29 03:21:09] ppdet.engine INFO: Epoch: [265] [  0/732] learning_rate: 0.016158 loss_vfl: 0.870904 loss_bbox: 0.451140 loss_dfl: 0.412286 loss: 1.742687 eta: 6:53:16 batch_cost: 0.8521 data_cost: 0.2544 ips: 46.9455 images/s
[07/29 03:21:27] ppdet.engine INFO: Epoch: [265] [ 20/732] learning_rate: 0.016156 loss_vfl: 0.910561 loss_bbox: 0.462238 loss_dfl: 0.417839 loss: 1.804254 eta: 6:52:56 batch_cost: 0.6525 data_cost: 0.0010 ips: 61.2999 images/s
[07/29 03:21:42] ppdet.engine INFO: Epoch: [265] [ 40/732] learning_rate: 0.016155 loss_vfl: 0.854781 loss_bbox: 0.429835 loss_dfl: 0.411362 loss: 1.705699 eta: 6:52:36 batch_cost: 0.6241 data_cost: 0.0007 ips: 64.0950 images/s
[07/29 03:21:58] ppdet.engine INFO: Epoch: [265] [ 60/732] learning_rate: 0.016153 loss_vfl: 0.884336 loss_bbox: 0.441297 loss_dfl: 0.407543 loss: 1.718625 eta: 6:52:16 batch_cost: 0.6612 data_cost: 0.0003 ips: 60.4997 images/s
[07/29 03:22:13] ppdet.engine INFO: Epoch: [265] [ 80/732] learning_rate: 0.016151 loss_vfl: 0.908472 loss_bbox: 0.455056 loss_dfl: 0.409251 loss: 1.782593 eta: 6:51:56 batch_cost: 0.6507 data_cost: 0.0004 ips: 61.4701 images/s
[07/29 03:22:28] ppdet.engine INFO: Epoch: [265] [100/732] learning_rate: 0.016149 loss_vfl: 0.903053 loss_bbox: 0.439855 loss_dfl: 0.409568 loss: 1.751666 eta: 6:51:35 batch_cost: 0.6105 data_cost: 0.0003 ips: 65.5216 images/s
[07/29 03:22:42] ppdet.engine INFO: Epoch: [265] [120/732] learning_rate: 0.016148 loss_vfl: 0.844876 loss_bbox: 0.452278 loss_dfl: 0.409342 loss: 1.711308 eta: 6:51:15 batch_cost: 0.5614 data_cost: 0.0004 ips: 71.2464 images/s
[07/29 03:22:57] ppdet.engine INFO: Epoch: [265] [140/732] learning_rate: 0.016146 loss_vfl: 0.880699 loss_bbox: 0.428361 loss_dfl: 0.400904 loss: 1.728553 eta: 6:50:55 batch_cost: 0.6522 data_cost: 0.0003 ips: 61.3338 images/s
[07/29 03:23:12] ppdet.engine INFO: Epoch: [265] [160/732] learning_rate: 0.016144 loss_vfl: 0.845016 loss_bbox: 0.422931 loss_dfl: 0.392024 loss: 1.669549 eta: 6:50:34 batch_cost: 0.6123 data_cost: 0.0003 ips: 65.3255 images/s
[07/29 03:23:28] ppdet.engine INFO: Epoch: [265] [180/732] learning_rate: 0.016143 loss_vfl: 0.891971 loss_bbox: 0.444140 loss_dfl: 0.418086 loss: 1.763553 eta: 6:50:14 batch_cost: 0.6291 data_cost: 0.0003 ips: 63.5783 images/s
[07/29 03:23:42] ppdet.engine INFO: Epoch: [265] [200/732] learning_rate: 0.016141 loss_vfl: 0.840682 loss_bbox: 0.404705 loss_dfl: 0.390138 loss: 1.662743 eta: 6:49:54 batch_cost: 0.5721 data_cost: 0.0003 ips: 69.9125 images/s
[07/29 03:23:56] ppdet.engine INFO: Epoch: [265] [220/732] learning_rate: 0.016140 loss_vfl: 0.907775 loss_bbox: 0.440133 loss_dfl: 0.400600 loss: 1.743917 eta: 6:49:33 batch_cost: 0.6030 data_cost: 0.0003 ips: 66.3300 images/s
[07/29 03:24:11] ppdet.engine INFO: Epoch: [265] [240/732] learning_rate: 0.016138 loss_vfl: 0.866940 loss_bbox: 0.423827 loss_dfl: 0.398539 loss: 1.736401 eta: 6:49:13 batch_cost: 0.6171 data_cost: 0.0003 ips: 64.8185 images/s
[07/29 03:24:27] ppdet.engine INFO: Epoch: [265] [260/732] learning_rate: 0.016136 loss_vfl: 0.899664 loss_bbox: 0.421224 loss_dfl: 0.410955 loss: 1.735953 eta: 6:48:53 batch_cost: 0.6491 data_cost: 0.0003 ips: 61.6230 images/s
[07/29 03:24:42] ppdet.engine INFO: Epoch: [265] [280/732] learning_rate: 0.016135 loss_vfl: 0.872564 loss_bbox: 0.444554 loss_dfl: 0.410828 loss: 1.725458 eta: 6:48:33 batch_cost: 0.6398 data_cost: 0.0007 ips: 62.5197 images/s
[07/29 03:24:56] ppdet.engine INFO: Epoch: [265] [300/732] learning_rate: 0.016133 loss_vfl: 0.835904 loss_bbox: 0.408226 loss_dfl: 0.369971 loss: 1.592559 eta: 6:48:12 batch_cost: 0.5722 data_cost: 0.0003 ips: 69.9104 images/s
[07/29 03:25:11] ppdet.engine INFO: Epoch: [265] [320/732] learning_rate: 0.016132 loss_vfl: 0.914000 loss_bbox: 0.445957 loss_dfl: 0.411759 loss: 1.770978 eta: 6:47:52 batch_cost: 0.5867 data_cost: 0.0024 ips: 68.1826 images/s
[07/29 03:25:25] ppdet.engine INFO: Epoch: [265] [340/732] learning_rate: 0.016130 loss_vfl: 0.901350 loss_bbox: 0.452870 loss_dfl: 0.426311 loss: 1.799664 eta: 6:47:32 batch_cost: 0.6015 data_cost: 0.0003 ips: 66.5001 images/s
[07/29 03:25:40] ppdet.engine INFO: Epoch: [265] [360/732] learning_rate: 0.016128 loss_vfl: 0.942805 loss_bbox: 0.479195 loss_dfl: 0.430075 loss: 1.839447 eta: 6:47:12 batch_cost: 0.6251 data_cost: 0.0003 ips: 63.9939 images/s
[07/29 03:25:56] ppdet.engine INFO: Epoch: [265] [380/732] learning_rate: 0.016127 loss_vfl: 0.891831 loss_bbox: 0.415939 loss_dfl: 0.395241 loss: 1.694235 eta: 6:46:51 batch_cost: 0.5893 data_cost: 0.0003 ips: 67.8766 images/s
[07/29 03:26:10] ppdet.engine INFO: Epoch: [265] [400/732] learning_rate: 0.016125 loss_vfl: 0.941353 loss_bbox: 0.457455 loss_dfl: 0.419614 loss: 1.803279 eta: 6:46:31 batch_cost: 0.6032 data_cost: 0.0003 ips: 66.3121 images/s
[07/29 03:26:25] ppdet.engine INFO: Epoch: [265] [420/732] learning_rate: 0.016124 loss_vfl: 0.898231 loss_bbox: 0.433458 loss_dfl: 0.410736 loss: 1.763009 eta: 6:46:11 batch_cost: 0.5906 data_cost: 0.0019 ips: 67.7227 images/s
[07/29 03:26:40] ppdet.engine INFO: Epoch: [265] [440/732] learning_rate: 0.016122 loss_vfl: 0.881190 loss_bbox: 0.437724 loss_dfl: 0.399197 loss: 1.725213 eta: 6:45:50 batch_cost: 0.5952 data_cost: 0.0013 ips: 67.2025 images/s
[07/29 03:26:55] ppdet.engine INFO: Epoch: [265] [460/732] learning_rate: 0.016121 loss_vfl: 0.893948 loss_bbox: 0.437401 loss_dfl: 0.411004 loss: 1.767018 eta: 6:45:30 batch_cost: 0.6071 data_cost: 0.0003 ips: 65.8854 images/s
[07/29 03:27:10] ppdet.engine INFO: Epoch: [265] [480/732] learning_rate: 0.016119 loss_vfl: 0.931458 loss_bbox: 0.471793 loss_dfl: 0.425536 loss: 1.834669 eta: 6:45:10 batch_cost: 0.5795 data_cost: 0.0003 ips: 69.0284 images/s
[07/29 03:27:24] ppdet.engine INFO: Epoch: [265] [500/732] learning_rate: 0.016118 loss_vfl: 0.898789 loss_bbox: 0.426564 loss_dfl: 0.392328 loss: 1.725131 eta: 6:44:49 batch_cost: 0.5842 data_cost: 0.0003 ips: 68.4640 images/s
[07/29 03:27:39] ppdet.engine INFO: Epoch: [265] [520/732] learning_rate: 0.016116 loss_vfl: 0.909847 loss_bbox: 0.438210 loss_dfl: 0.418757 loss: 1.771609 eta: 6:44:29 batch_cost: 0.5784 data_cost: 0.0010 ips: 69.1623 images/s
[07/29 03:27:54] ppdet.engine INFO: Epoch: [265] [540/732] learning_rate: 0.016115 loss_vfl: 0.870318 loss_bbox: 0.446389 loss_dfl: 0.406277 loss: 1.726364 eta: 6:44:09 batch_cost: 0.5761 data_cost: 0.0004 ips: 69.4363 images/s
[07/29 03:28:08] ppdet.engine INFO: Epoch: [265] [560/732] learning_rate: 0.016113 loss_vfl: 0.849551 loss_bbox: 0.404581 loss_dfl: 0.377093 loss: 1.634642 eta: 6:43:48 batch_cost: 0.5985 data_cost: 0.0003 ips: 66.8298 images/s
[07/29 03:28:23] ppdet.engine INFO: Epoch: [265] [580/732] learning_rate: 0.016112 loss_vfl: 0.874667 loss_bbox: 0.441620 loss_dfl: 0.403033 loss: 1.716380 eta: 6:43:28 batch_cost: 0.5926 data_cost: 0.0003 ips: 67.4975 images/s
[07/29 03:28:37] ppdet.engine INFO: Epoch: [265] [600/732] learning_rate: 0.016110 loss_vfl: 0.935105 loss_bbox: 0.466815 loss_dfl: 0.418828 loss: 1.805126 eta: 6:43:08 batch_cost: 0.5677 data_cost: 0.0003 ips: 70.4655 images/s
[07/29 03:28:52] ppdet.engine INFO: Epoch: [265] [620/732] learning_rate: 0.016109 loss_vfl: 0.901394 loss_bbox: 0.451250 loss_dfl: 0.412014 loss: 1.747008 eta: 6:42:48 batch_cost: 0.6299 data_cost: 0.0006 ips: 63.4996 images/s
[07/29 03:29:08] ppdet.engine INFO: Epoch: [265] [640/732] learning_rate: 0.016108 loss_vfl: 0.895952 loss_bbox: 0.434000 loss_dfl: 0.415929 loss: 1.749094 eta: 6:42:27 batch_cost: 0.6622 data_cost: 0.0003 ips: 60.4053 images/s
[07/29 03:29:22] ppdet.engine INFO: Epoch: [265] [660/732] learning_rate: 0.016106 loss_vfl: 0.866205 loss_bbox: 0.426606 loss_dfl: 0.390624 loss: 1.659037 eta: 6:42:07 batch_cost: 0.5536 data_cost: 0.0003 ips: 72.2500 images/s
[07/29 03:29:37] ppdet.engine INFO: Epoch: [265] [680/732] learning_rate: 0.016105 loss_vfl: 0.908711 loss_bbox: 0.433777 loss_dfl: 0.409102 loss: 1.774394 eta: 6:41:47 batch_cost: 0.5848 data_cost: 0.0015 ips: 68.4045 images/s
[07/29 03:29:53] ppdet.engine INFO: Epoch: [265] [700/732] learning_rate: 0.016103 loss_vfl: 0.881001 loss_bbox: 0.434540 loss_dfl: 0.399714 loss: 1.718019 eta: 6:41:27 batch_cost: 0.6537 data_cost: 0.0012 ips: 61.1926 images/s
[07/29 03:30:10] ppdet.engine INFO: Epoch: [265] [720/732] learning_rate: 0.016102 loss_vfl: 0.842747 loss_bbox: 0.424557 loss_dfl: 0.391864 loss: 1.657769 eta: 6:41:07 batch_cost: 0.6799 data_cost: 0.0010 ips: 58.8317 images/s
[07/29 03:30:22] ppdet.engine INFO: Epoch: [266] [  0/732] learning_rate: 0.016101 loss_vfl: 0.845988 loss_bbox: 0.422276 loss_dfl: 0.390957 loss: 1.646464 eta: 6:40:55 batch_cost: 0.7861 data_cost: 0.2085 ips: 50.8818 images/s
[07/29 03:30:40] ppdet.engine INFO: Epoch: [266] [ 20/732] learning_rate: 0.016100 loss_vfl: 0.916078 loss_bbox: 0.446380 loss_dfl: 0.418020 loss: 1.771497 eta: 6:40:35 batch_cost: 0.6808 data_cost: 0.0003 ips: 58.7536 images/s
[07/29 03:30:54] ppdet.engine INFO: Epoch: [266] [ 40/732] learning_rate: 0.016098 loss_vfl: 0.932842 loss_bbox: 0.464211 loss_dfl: 0.420480 loss: 1.831981 eta: 6:40:14 batch_cost: 0.5861 data_cost: 0.0011 ips: 68.2430 images/s
[07/29 03:31:08] ppdet.engine INFO: Epoch: [266] [ 60/732] learning_rate: 0.016097 loss_vfl: 0.902911 loss_bbox: 0.443912 loss_dfl: 0.425614 loss: 1.792194 eta: 6:39:54 batch_cost: 0.5636 data_cost: 0.0003 ips: 70.9671 images/s
[07/29 03:31:22] ppdet.engine INFO: Epoch: [266] [ 80/732] learning_rate: 0.016096 loss_vfl: 0.877954 loss_bbox: 0.424245 loss_dfl: 0.402374 loss: 1.720249 eta: 6:39:34 batch_cost: 0.5920 data_cost: 0.0009 ips: 67.5675 images/s
[07/29 03:31:37] ppdet.engine INFO: Epoch: [266] [100/732] learning_rate: 0.016094 loss_vfl: 0.854215 loss_bbox: 0.427564 loss_dfl: 0.389327 loss: 1.680262 eta: 6:39:14 batch_cost: 0.6032 data_cost: 0.0012 ips: 66.3106 images/s
[07/29 03:31:52] ppdet.engine INFO: Epoch: [266] [120/732] learning_rate: 0.016093 loss_vfl: 0.872317 loss_bbox: 0.442042 loss_dfl: 0.405875 loss: 1.738363 eta: 6:38:53 batch_cost: 0.5601 data_cost: 0.0003 ips: 71.4127 images/s
[07/29 03:32:08] ppdet.engine INFO: Epoch: [266] [140/732] learning_rate: 0.016092 loss_vfl: 0.894715 loss_bbox: 0.434172 loss_dfl: 0.411677 loss: 1.745349 eta: 6:38:33 batch_cost: 0.6592 data_cost: 0.0014 ips: 60.6781 images/s
[07/29 03:32:22] ppdet.engine INFO: Epoch: [266] [160/732] learning_rate: 0.016090 loss_vfl: 0.920080 loss_bbox: 0.451122 loss_dfl: 0.422179 loss: 1.810133 eta: 6:38:13 batch_cost: 0.5809 data_cost: 0.0006 ips: 68.8644 images/s
[07/29 03:32:37] ppdet.engine INFO: Epoch: [266] [180/732] learning_rate: 0.016089 loss_vfl: 0.917198 loss_bbox: 0.427153 loss_dfl: 0.404896 loss: 1.777704 eta: 6:37:52 batch_cost: 0.5687 data_cost: 0.0003 ips: 70.3361 images/s
[07/29 03:32:52] ppdet.engine INFO: Epoch: [266] [200/732] learning_rate: 0.016088 loss_vfl: 0.864322 loss_bbox: 0.436882 loss_dfl: 0.397495 loss: 1.689113 eta: 6:37:32 batch_cost: 0.5952 data_cost: 0.0019 ips: 67.1991 images/s
[07/29 03:33:08] ppdet.engine INFO: Epoch: [266] [220/732] learning_rate: 0.016086 loss_vfl: 0.863595 loss_bbox: 0.426345 loss_dfl: 0.400679 loss: 1.701324 eta: 6:37:12 batch_cost: 0.6565 data_cost: 0.0008 ips: 60.9251 images/s
[07/29 03:33:23] ppdet.engine INFO: Epoch: [266] [240/732] learning_rate: 0.016085 loss_vfl: 0.915817 loss_bbox: 0.467419 loss_dfl: 0.428934 loss: 1.816206 eta: 6:36:52 batch_cost: 0.5864 data_cost: 0.0004 ips: 68.2078 images/s
[07/29 03:33:38] ppdet.engine INFO: Epoch: [266] [260/732] learning_rate: 0.016084 loss_vfl: 0.891291 loss_bbox: 0.435252 loss_dfl: 0.414691 loss: 1.751050 eta: 6:36:32 batch_cost: 0.5927 data_cost: 0.0003 ips: 67.4871 images/s
[07/29 03:33:53] ppdet.engine INFO: Epoch: [266] [280/732] learning_rate: 0.016083 loss_vfl: 0.871492 loss_bbox: 0.429689 loss_dfl: 0.398872 loss: 1.705323 eta: 6:36:11 batch_cost: 0.6390 data_cost: 0.0012 ips: 62.5967 images/s
[07/29 03:34:08] ppdet.engine INFO: Epoch: [266] [300/732] learning_rate: 0.016081 loss_vfl: 0.905423 loss_bbox: 0.442163 loss_dfl: 0.410454 loss: 1.756880 eta: 6:35:51 batch_cost: 0.5845 data_cost: 0.0010 ips: 68.4320 images/s
[07/29 03:34:23] ppdet.engine INFO: Epoch: [266] [320/732] learning_rate: 0.016080 loss_vfl: 0.915793 loss_bbox: 0.448167 loss_dfl: 0.412099 loss: 1.751356 eta: 6:35:31 batch_cost: 0.6293 data_cost: 0.0009 ips: 63.5584 images/s
[07/29 03:34:38] ppdet.engine INFO: Epoch: [266] [340/732] learning_rate: 0.016079 loss_vfl: 0.891800 loss_bbox: 0.426893 loss_dfl: 0.402546 loss: 1.734995 eta: 6:35:11 batch_cost: 0.5779 data_cost: 0.0003 ips: 69.2210 images/s
[07/29 03:34:53] ppdet.engine INFO: Epoch: [266] [360/732] learning_rate: 0.016078 loss_vfl: 0.865897 loss_bbox: 0.417605 loss_dfl: 0.384735 loss: 1.669273 eta: 6:34:50 batch_cost: 0.6412 data_cost: 0.0007 ips: 62.3793 images/s
[07/29 03:35:08] ppdet.engine INFO: Epoch: [266] [380/732] learning_rate: 0.016077 loss_vfl: 0.869155 loss_bbox: 0.416593 loss_dfl: 0.402577 loss: 1.682517 eta: 6:34:30 batch_cost: 0.5535 data_cost: 0.0006 ips: 72.2725 images/s
[07/29 03:35:23] ppdet.engine INFO: Epoch: [266] [400/732] learning_rate: 0.016075 loss_vfl: 0.886490 loss_bbox: 0.422861 loss_dfl: 0.397995 loss: 1.690445 eta: 6:34:10 batch_cost: 0.6655 data_cost: 0.0003 ips: 60.1096 images/s
[07/29 03:35:39] ppdet.engine INFO: Epoch: [266] [420/732] learning_rate: 0.016074 loss_vfl: 0.891807 loss_bbox: 0.416921 loss_dfl: 0.389263 loss: 1.688583 eta: 6:33:50 batch_cost: 0.6366 data_cost: 0.0007 ips: 62.8382 images/s
[07/29 03:35:54] ppdet.engine INFO: Epoch: [266] [440/732] learning_rate: 0.016073 loss_vfl: 0.891349 loss_bbox: 0.431736 loss_dfl: 0.409830 loss: 1.736074 eta: 6:33:30 batch_cost: 0.6067 data_cost: 0.0009 ips: 65.9271 images/s
[07/29 03:36:09] ppdet.engine INFO: Epoch: [266] [460/732] learning_rate: 0.016072 loss_vfl: 0.917362 loss_bbox: 0.431531 loss_dfl: 0.388284 loss: 1.718983 eta: 6:33:10 batch_cost: 0.6376 data_cost: 0.0003 ips: 62.7318 images/s
[07/29 03:36:24] ppdet.engine INFO: Epoch: [266] [480/732] learning_rate: 0.016071 loss_vfl: 0.806947 loss_bbox: 0.399737 loss_dfl: 0.371145 loss: 1.571483 eta: 6:32:49 batch_cost: 0.6209 data_cost: 0.0013 ips: 64.4244 images/s
[07/29 03:36:39] ppdet.engine INFO: Epoch: [266] [500/732] learning_rate: 0.016070 loss_vfl: 0.909066 loss_bbox: 0.433921 loss_dfl: 0.403252 loss: 1.746239 eta: 6:32:29 batch_cost: 0.5857 data_cost: 0.0003 ips: 68.2887 images/s
[07/29 03:36:53] ppdet.engine INFO: Epoch: [266] [520/732] learning_rate: 0.016068 loss_vfl: 0.924752 loss_bbox: 0.467634 loss_dfl: 0.415358 loss: 1.818983 eta: 6:32:09 batch_cost: 0.5786 data_cost: 0.0006 ips: 69.1375 images/s
[07/29 03:37:09] ppdet.engine INFO: Epoch: [266] [540/732] learning_rate: 0.016067 loss_vfl: 0.904332 loss_bbox: 0.407232 loss_dfl: 0.402494 loss: 1.731182 eta: 6:31:49 batch_cost: 0.6678 data_cost: 0.0003 ips: 59.8998 images/s
[07/29 03:37:24] ppdet.engine INFO: Epoch: [266] [560/732] learning_rate: 0.016066 loss_vfl: 0.891630 loss_bbox: 0.435860 loss_dfl: 0.400154 loss: 1.727718 eta: 6:31:29 batch_cost: 0.6279 data_cost: 0.0003 ips: 63.7054 images/s
[07/29 03:37:38] ppdet.engine INFO: Epoch: [266] [580/732] learning_rate: 0.016065 loss_vfl: 0.895201 loss_bbox: 0.431691 loss_dfl: 0.400937 loss: 1.723508 eta: 6:31:08 batch_cost: 0.6030 data_cost: 0.0015 ips: 66.3355 images/s
[07/29 03:37:52] ppdet.engine INFO: Epoch: [266] [600/732] learning_rate: 0.016064 loss_vfl: 0.910825 loss_bbox: 0.456157 loss_dfl: 0.411987 loss: 1.746805 eta: 6:30:48 batch_cost: 0.5877 data_cost: 0.0008 ips: 68.0624 images/s
[07/29 03:38:07] ppdet.engine INFO: Epoch: [266] [620/732] learning_rate: 0.016063 loss_vfl: 0.863787 loss_bbox: 0.409896 loss_dfl: 0.381293 loss: 1.638994 eta: 6:30:28 batch_cost: 0.6119 data_cost: 0.0003 ips: 65.3693 images/s
[07/29 03:38:20] ppdet.engine INFO: Epoch: [266] [640/732] learning_rate: 0.016062 loss_vfl: 0.932312 loss_bbox: 0.448041 loss_dfl: 0.421179 loss: 1.815300 eta: 6:30:08 batch_cost: 0.5412 data_cost: 0.0003 ips: 73.9161 images/s
[07/29 03:38:35] ppdet.engine INFO: Epoch: [266] [660/732] learning_rate: 0.016061 loss_vfl: 0.859546 loss_bbox: 0.410856 loss_dfl: 0.381491 loss: 1.639914 eta: 6:29:47 batch_cost: 0.5991 data_cost: 0.0003 ips: 66.7692 images/s
[07/29 03:38:49] ppdet.engine INFO: Epoch: [266] [680/732] learning_rate: 0.016060 loss_vfl: 0.877695 loss_bbox: 0.433537 loss_dfl: 0.402203 loss: 1.719010 eta: 6:29:27 batch_cost: 0.5887 data_cost: 0.0011 ips: 67.9502 images/s
[07/29 03:39:04] ppdet.engine INFO: Epoch: [266] [700/732] learning_rate: 0.016059 loss_vfl: 0.894858 loss_bbox: 0.439231 loss_dfl: 0.401101 loss: 1.724721 eta: 6:29:07 batch_cost: 0.6211 data_cost: 0.0003 ips: 64.4052 images/s
[07/29 03:39:19] ppdet.engine INFO: Epoch: [266] [720/732] learning_rate: 0.016058 loss_vfl: 0.858796 loss_bbox: 0.425888 loss_dfl: 0.388407 loss: 1.692569 eta: 6:28:47 batch_cost: 0.6074 data_cost: 0.0011 ips: 65.8548 images/s
[07/29 03:39:33] ppdet.engine INFO: Epoch: [267] [  0/732] learning_rate: 0.016057 loss_vfl: 0.897705 loss_bbox: 0.440475 loss_dfl: 0.408732 loss: 1.749850 eta: 6:28:35 batch_cost: 0.8279 data_cost: 0.2328 ips: 48.3162 images/s
[07/29 03:39:51] ppdet.engine INFO: Epoch: [267] [ 20/732] learning_rate: 0.016056 loss_vfl: 0.859684 loss_bbox: 0.421226 loss_dfl: 0.380327 loss: 1.656262 eta: 6:28:15 batch_cost: 0.7481 data_cost: 0.0004 ips: 53.4720 images/s
[07/29 03:40:06] ppdet.engine INFO: Epoch: [267] [ 40/732] learning_rate: 0.016055 loss_vfl: 0.897754 loss_bbox: 0.431372 loss_dfl: 0.401809 loss: 1.720312 eta: 6:27:55 batch_cost: 0.6079 data_cost: 0.0005 ips: 65.7981 images/s
[07/29 03:40:21] ppdet.engine INFO: Epoch: [267] [ 60/732] learning_rate: 0.016054 loss_vfl: 0.924414 loss_bbox: 0.450709 loss_dfl: 0.430579 loss: 1.848935 eta: 6:27:35 batch_cost: 0.6241 data_cost: 0.0007 ips: 64.0973 images/s
[07/29 03:40:36] ppdet.engine INFO: Epoch: [267] [ 80/732] learning_rate: 0.016053 loss_vfl: 0.914140 loss_bbox: 0.436879 loss_dfl: 0.423159 loss: 1.790482 eta: 6:27:15 batch_cost: 0.6217 data_cost: 0.0020 ips: 64.3438 images/s
[07/29 03:40:51] ppdet.engine INFO: Epoch: [267] [100/732] learning_rate: 0.016052 loss_vfl: 0.895807 loss_bbox: 0.429816 loss_dfl: 0.406113 loss: 1.722284 eta: 6:26:55 batch_cost: 0.5906 data_cost: 0.0004 ips: 67.7315 images/s
[07/29 03:41:05] ppdet.engine INFO: Epoch: [267] [120/732] learning_rate: 0.016051 loss_vfl: 0.895107 loss_bbox: 0.428892 loss_dfl: 0.405748 loss: 1.737672 eta: 6:26:35 batch_cost: 0.6173 data_cost: 0.0007 ips: 64.8004 images/s
[07/29 03:41:21] ppdet.engine INFO: Epoch: [267] [140/732] learning_rate: 0.016050 loss_vfl: 0.870034 loss_bbox: 0.414174 loss_dfl: 0.391437 loss: 1.669196 eta: 6:26:14 batch_cost: 0.6328 data_cost: 0.0003 ips: 63.2062 images/s
[07/29 03:41:36] ppdet.engine INFO: Epoch: [267] [160/732] learning_rate: 0.016049 loss_vfl: 0.880059 loss_bbox: 0.417419 loss_dfl: 0.392681 loss: 1.686079 eta: 6:25:54 batch_cost: 0.6354 data_cost: 0.0010 ips: 62.9572 images/s
[07/29 03:41:52] ppdet.engine INFO: Epoch: [267] [180/732] learning_rate: 0.016048 loss_vfl: 0.851690 loss_bbox: 0.440365 loss_dfl: 0.393692 loss: 1.685566 eta: 6:25:34 batch_cost: 0.6762 data_cost: 0.0003 ips: 59.1523 images/s
[07/29 03:42:07] ppdet.engine INFO: Epoch: [267] [200/732] learning_rate: 0.016047 loss_vfl: 0.910100 loss_bbox: 0.414890 loss_dfl: 0.405499 loss: 1.757658 eta: 6:25:14 batch_cost: 0.6574 data_cost: 0.0023 ips: 60.8444 images/s
[07/29 03:42:22] ppdet.engine INFO: Epoch: [267] [220/732] learning_rate: 0.016046 loss_vfl: 0.917675 loss_bbox: 0.452160 loss_dfl: 0.411163 loss: 1.778745 eta: 6:24:54 batch_cost: 0.6411 data_cost: 0.0003 ips: 62.3957 images/s
[07/29 03:42:37] ppdet.engine INFO: Epoch: [267] [240/732] learning_rate: 0.016045 loss_vfl: 0.843814 loss_bbox: 0.409351 loss_dfl: 0.379794 loss: 1.622018 eta: 6:24:34 batch_cost: 0.5979 data_cost: 0.0003 ips: 66.9027 images/s
[07/29 03:42:53] ppdet.engine INFO: Epoch: [267] [260/732] learning_rate: 0.016044 loss_vfl: 0.933068 loss_bbox: 0.449839 loss_dfl: 0.433422 loss: 1.817662 eta: 6:24:14 batch_cost: 0.6548 data_cost: 0.0010 ips: 61.0860 images/s
[07/29 03:43:08] ppdet.engine INFO: Epoch: [267] [280/732] learning_rate: 0.016043 loss_vfl: 0.849963 loss_bbox: 0.410945 loss_dfl: 0.381578 loss: 1.629179 eta: 6:23:54 batch_cost: 0.6399 data_cost: 0.0003 ips: 62.5139 images/s
[07/29 03:43:24] ppdet.engine INFO: Epoch: [267] [300/732] learning_rate: 0.016042 loss_vfl: 0.889199 loss_bbox: 0.426756 loss_dfl: 0.402903 loss: 1.728305 eta: 6:23:34 batch_cost: 0.6747 data_cost: 0.0003 ips: 59.2833 images/s
[07/29 03:43:38] ppdet.engine INFO: Epoch: [267] [320/732] learning_rate: 0.016042 loss_vfl: 0.888291 loss_bbox: 0.447571 loss_dfl: 0.403409 loss: 1.759402 eta: 6:23:14 batch_cost: 0.5638 data_cost: 0.0009 ips: 70.9487 images/s
[07/29 03:43:54] ppdet.engine INFO: Epoch: [267] [340/732] learning_rate: 0.016041 loss_vfl: 0.813303 loss_bbox: 0.400536 loss_dfl: 0.371147 loss: 1.604538 eta: 6:22:53 batch_cost: 0.6309 data_cost: 0.0003 ips: 63.3986 images/s
[07/29 03:44:10] ppdet.engine INFO: Epoch: [267] [360/732] learning_rate: 0.016040 loss_vfl: 0.958999 loss_bbox: 0.467244 loss_dfl: 0.437519 loss: 1.880680 eta: 6:22:33 batch_cost: 0.6508 data_cost: 0.0007 ips: 61.4674 images/s
[07/29 03:44:25] ppdet.engine INFO: Epoch: [267] [380/732] learning_rate: 0.016039 loss_vfl: 0.896529 loss_bbox: 0.437029 loss_dfl: 0.414994 loss: 1.760988 eta: 6:22:13 batch_cost: 0.6553 data_cost: 0.0003 ips: 61.0378 images/s
[07/29 03:44:42] ppdet.engine INFO: Epoch: [267] [400/732] learning_rate: 0.016038 loss_vfl: 0.889439 loss_bbox: 0.436712 loss_dfl: 0.405506 loss: 1.744666 eta: 6:21:53 batch_cost: 0.6894 data_cost: 0.0010 ips: 58.0188 images/s
[07/29 03:44:57] ppdet.engine INFO: Epoch: [267] [420/732] learning_rate: 0.016037 loss_vfl: 0.896804 loss_bbox: 0.424890 loss_dfl: 0.406718 loss: 1.728161 eta: 6:21:33 batch_cost: 0.6396 data_cost: 0.0003 ips: 62.5411 images/s
[07/29 03:45:14] ppdet.engine INFO: Epoch: [267] [440/732] learning_rate: 0.016036 loss_vfl: 0.885972 loss_bbox: 0.442116 loss_dfl: 0.399899 loss: 1.752851 eta: 6:21:13 batch_cost: 0.6724 data_cost: 0.0003 ips: 59.4859 images/s
[07/29 03:45:29] ppdet.engine INFO: Epoch: [267] [460/732] learning_rate: 0.016036 loss_vfl: 0.845156 loss_bbox: 0.422104 loss_dfl: 0.388824 loss: 1.662755 eta: 6:20:53 batch_cost: 0.6110 data_cost: 0.0005 ips: 65.4630 images/s
[07/29 03:45:44] ppdet.engine INFO: Epoch: [267] [480/732] learning_rate: 0.016035 loss_vfl: 0.841699 loss_bbox: 0.404142 loss_dfl: 0.382892 loss: 1.629036 eta: 6:20:33 batch_cost: 0.6531 data_cost: 0.0003 ips: 61.2507 images/s
[07/29 03:46:00] ppdet.engine INFO: Epoch: [267] [500/732] learning_rate: 0.016034 loss_vfl: 0.909281 loss_bbox: 0.447002 loss_dfl: 0.418883 loss: 1.786509 eta: 6:20:13 batch_cost: 0.6888 data_cost: 0.0016 ips: 58.0699 images/s
[07/29 03:46:15] ppdet.engine INFO: Epoch: [267] [520/732] learning_rate: 0.016033 loss_vfl: 0.898638 loss_bbox: 0.435072 loss_dfl: 0.403075 loss: 1.732005 eta: 6:19:53 batch_cost: 0.6006 data_cost: 0.0003 ips: 66.6045 images/s
[07/29 03:46:29] ppdet.engine INFO: Epoch: [267] [540/732] learning_rate: 0.016032 loss_vfl: 0.898009 loss_bbox: 0.442327 loss_dfl: 0.402861 loss: 1.739206 eta: 6:19:33 batch_cost: 0.5827 data_cost: 0.0003 ips: 68.6469 images/s
[07/29 03:46:45] ppdet.engine INFO: Epoch: [267] [560/732] learning_rate: 0.016032 loss_vfl: 0.933615 loss_bbox: 0.448824 loss_dfl: 0.414564 loss: 1.792092 eta: 6:19:13 batch_cost: 0.6318 data_cost: 0.0004 ips: 63.3131 images/s
[07/29 03:47:01] ppdet.engine INFO: Epoch: [267] [580/732] learning_rate: 0.016031 loss_vfl: 0.874814 loss_bbox: 0.409525 loss_dfl: 0.395602 loss: 1.709557 eta: 6:18:53 batch_cost: 0.6610 data_cost: 0.0004 ips: 60.5157 images/s
[07/29 03:47:17] ppdet.engine INFO: Epoch: [267] [600/732] learning_rate: 0.016030 loss_vfl: 0.900776 loss_bbox: 0.445975 loss_dfl: 0.415153 loss: 1.754545 eta: 6:18:33 batch_cost: 0.6587 data_cost: 0.0003 ips: 60.7292 images/s
[07/29 03:47:32] ppdet.engine INFO: Epoch: [267] [620/732] learning_rate: 0.016029 loss_vfl: 0.873907 loss_bbox: 0.420769 loss_dfl: 0.388029 loss: 1.658528 eta: 6:18:13 batch_cost: 0.6346 data_cost: 0.0008 ips: 63.0354 images/s
[07/29 03:47:47] ppdet.engine INFO: Epoch: [267] [640/732] learning_rate: 0.016029 loss_vfl: 0.932773 loss_bbox: 0.477050 loss_dfl: 0.439702 loss: 1.842828 eta: 6:17:52 batch_cost: 0.6045 data_cost: 0.0023 ips: 66.1656 images/s
[07/29 03:48:03] ppdet.engine INFO: Epoch: [267] [660/732] learning_rate: 0.016028 loss_vfl: 0.919658 loss_bbox: 0.440122 loss_dfl: 0.416149 loss: 1.787668 eta: 6:17:32 batch_cost: 0.6531 data_cost: 0.0003 ips: 61.2427 images/s
[07/29 03:48:19] ppdet.engine INFO: Epoch: [267] [680/732] learning_rate: 0.016027 loss_vfl: 0.896176 loss_bbox: 0.454369 loss_dfl: 0.410811 loss: 1.773686 eta: 6:17:12 batch_cost: 0.6614 data_cost: 0.0003 ips: 60.4746 images/s
[07/29 03:48:35] ppdet.engine INFO: Epoch: [267] [700/732] learning_rate: 0.016026 loss_vfl: 0.897390 loss_bbox: 0.427249 loss_dfl: 0.402252 loss: 1.701659 eta: 6:16:52 batch_cost: 0.6228 data_cost: 0.0003 ips: 64.2249 images/s
[07/29 03:48:50] ppdet.engine INFO: Epoch: [267] [720/732] learning_rate: 0.016026 loss_vfl: 0.948044 loss_bbox: 0.438974 loss_dfl: 0.410066 loss: 1.779353 eta: 6:16:32 batch_cost: 0.6196 data_cost: 0.0004 ips: 64.5584 images/s
[07/29 03:49:04] ppdet.engine INFO: Epoch: [268] [  0/732] learning_rate: 0.016025 loss_vfl: 0.852538 loss_bbox: 0.423050 loss_dfl: 0.387914 loss: 1.673362 eta: 6:16:21 batch_cost: 0.8077 data_cost: 0.2594 ips: 49.5251 images/s
[07/29 03:49:22] ppdet.engine INFO: Epoch: [268] [ 20/732] learning_rate: 0.016025 loss_vfl: 0.840073 loss_bbox: 0.407516 loss_dfl: 0.379885 loss: 1.624767 eta: 6:16:01 batch_cost: 0.7473 data_cost: 0.0003 ips: 53.5226 images/s
[07/29 03:49:39] ppdet.engine INFO: Epoch: [268] [ 40/732] learning_rate: 0.016024 loss_vfl: 0.882930 loss_bbox: 0.434824 loss_dfl: 0.405850 loss: 1.731722 eta: 6:15:41 batch_cost: 0.6485 data_cost: 0.0003 ips: 61.6832 images/s
[07/29 03:49:53] ppdet.engine INFO: Epoch: [268] [ 60/732] learning_rate: 0.016023 loss_vfl: 0.892713 loss_bbox: 0.410764 loss_dfl: 0.397449 loss: 1.693154 eta: 6:15:21 batch_cost: 0.5642 data_cost: 0.0004 ips: 70.8999 images/s
[07/29 03:50:08] ppdet.engine INFO: Epoch: [268] [ 80/732] learning_rate: 0.016023 loss_vfl: 0.926833 loss_bbox: 0.444265 loss_dfl: 0.414045 loss: 1.781272 eta: 6:15:00 batch_cost: 0.6034 data_cost: 0.0016 ips: 66.2916 images/s
[07/29 03:50:24] ppdet.engine INFO: Epoch: [268] [100/732] learning_rate: 0.016022 loss_vfl: 0.908994 loss_bbox: 0.450062 loss_dfl: 0.404028 loss: 1.749612 eta: 6:14:40 batch_cost: 0.6248 data_cost: 0.0006 ips: 64.0203 images/s
[07/29 03:50:38] ppdet.engine INFO: Epoch: [268] [120/732] learning_rate: 0.016021 loss_vfl: 0.927557 loss_bbox: 0.451220 loss_dfl: 0.429347 loss: 1.821021 eta: 6:14:20 batch_cost: 0.6336 data_cost: 0.0003 ips: 63.1283 images/s
[07/29 03:50:54] ppdet.engine INFO: Epoch: [268] [140/732] learning_rate: 0.016021 loss_vfl: 0.895733 loss_bbox: 0.435271 loss_dfl: 0.404785 loss: 1.744795 eta: 6:14:00 batch_cost: 0.6415 data_cost: 0.0005 ips: 62.3547 images/s
[07/29 03:51:08] ppdet.engine INFO: Epoch: [268] [160/732] learning_rate: 0.016020 loss_vfl: 0.830332 loss_bbox: 0.387120 loss_dfl: 0.368203 loss: 1.570410 eta: 6:13:40 batch_cost: 0.5722 data_cost: 0.0004 ips: 69.9043 images/s
[07/29 03:51:23] ppdet.engine INFO: Epoch: [268] [180/732] learning_rate: 0.016019 loss_vfl: 0.895072 loss_bbox: 0.432133 loss_dfl: 0.406067 loss: 1.757654 eta: 6:13:20 batch_cost: 0.6154 data_cost: 0.0003 ips: 64.9992 images/s
[07/29 03:51:38] ppdet.engine INFO: Epoch: [268] [200/732] learning_rate: 0.016019 loss_vfl: 0.910471 loss_bbox: 0.454319 loss_dfl: 0.419011 loss: 1.814403 eta: 6:13:00 batch_cost: 0.6142 data_cost: 0.0008 ips: 65.1233 images/s
[07/29 03:51:53] ppdet.engine INFO: Epoch: [268] [220/732] learning_rate: 0.016018 loss_vfl: 0.883742 loss_bbox: 0.427413 loss_dfl: 0.397641 loss: 1.700144 eta: 6:12:40 batch_cost: 0.5663 data_cost: 0.0003 ips: 70.6308 images/s
[07/29 03:52:07] ppdet.engine INFO: Epoch: [268] [240/732] learning_rate: 0.016018 loss_vfl: 0.880549 loss_bbox: 0.430288 loss_dfl: 0.408347 loss: 1.734802 eta: 6:12:19 batch_cost: 0.5579 data_cost: 0.0016 ips: 71.7013 images/s
[07/29 03:52:21] ppdet.engine INFO: Epoch: [268] [260/732] learning_rate: 0.016017 loss_vfl: 0.912521 loss_bbox: 0.416795 loss_dfl: 0.407091 loss: 1.720342 eta: 6:11:59 batch_cost: 0.6140 data_cost: 0.0003 ips: 65.1507 images/s
[07/29 03:52:35] ppdet.engine INFO: Epoch: [268] [280/732] learning_rate: 0.016017 loss_vfl: 0.937028 loss_bbox: 0.453644 loss_dfl: 0.423035 loss: 1.838326 eta: 6:11:39 batch_cost: 0.5396 data_cost: 0.0007 ips: 74.1247 images/s
[07/29 03:52:50] ppdet.engine INFO: Epoch: [268] [300/732] learning_rate: 0.016016 loss_vfl: 0.926021 loss_bbox: 0.462038 loss_dfl: 0.422125 loss: 1.817175 eta: 6:11:19 batch_cost: 0.6393 data_cost: 0.0003 ips: 62.5712 images/s
[07/29 03:53:05] ppdet.engine INFO: Epoch: [268] [320/732] learning_rate: 0.016015 loss_vfl: 0.934899 loss_bbox: 0.472323 loss_dfl: 0.428664 loss: 1.846591 eta: 6:10:59 batch_cost: 0.5834 data_cost: 0.0013 ips: 68.5665 images/s
[07/29 03:53:19] ppdet.engine INFO: Epoch: [268] [340/732] learning_rate: 0.016015 loss_vfl: 0.911239 loss_bbox: 0.453198 loss_dfl: 0.425894 loss: 1.786623 eta: 6:10:39 batch_cost: 0.6058 data_cost: 0.0009 ips: 66.0256 images/s
[07/29 03:53:34] ppdet.engine INFO: Epoch: [268] [360/732] learning_rate: 0.016014 loss_vfl: 0.883524 loss_bbox: 0.442679 loss_dfl: 0.398109 loss: 1.728734 eta: 6:10:19 batch_cost: 0.6045 data_cost: 0.0003 ips: 66.1653 images/s
[07/29 03:53:48] ppdet.engine INFO: Epoch: [268] [380/732] learning_rate: 0.016014 loss_vfl: 0.932378 loss_bbox: 0.453826 loss_dfl: 0.422425 loss: 1.805580 eta: 6:09:58 batch_cost: 0.5774 data_cost: 0.0018 ips: 69.2766 images/s
[07/29 03:54:02] ppdet.engine INFO: Epoch: [268] [400/732] learning_rate: 0.016013 loss_vfl: 0.910192 loss_bbox: 0.441261 loss_dfl: 0.409544 loss: 1.742801 eta: 6:09:38 batch_cost: 0.5462 data_cost: 0.0018 ips: 73.2319 images/s
[07/29 03:54:17] ppdet.engine INFO: Epoch: [268] [420/732] learning_rate: 0.016013 loss_vfl: 0.884537 loss_bbox: 0.428083 loss_dfl: 0.402458 loss: 1.718446 eta: 6:09:18 batch_cost: 0.5946 data_cost: 0.0009 ips: 67.2719 images/s
[07/29 03:54:32] ppdet.engine INFO: Epoch: [268] [440/732] learning_rate: 0.016012 loss_vfl: 0.966135 loss_bbox: 0.471972 loss_dfl: 0.435849 loss: 1.882494 eta: 6:08:58 batch_cost: 0.6196 data_cost: 0.0048 ips: 64.5616 images/s
[07/29 03:54:48] ppdet.engine INFO: Epoch: [268] [460/732] learning_rate: 0.016012 loss_vfl: 0.881408 loss_bbox: 0.438253 loss_dfl: 0.407232 loss: 1.735257 eta: 6:08:38 batch_cost: 0.6112 data_cost: 0.0010 ips: 65.4410 images/s
[07/29 03:55:02] ppdet.engine INFO: Epoch: [268] [480/732] learning_rate: 0.016011 loss_vfl: 0.892859 loss_bbox: 0.435792 loss_dfl: 0.398467 loss: 1.727516 eta: 6:08:18 batch_cost: 0.5800 data_cost: 0.0003 ips: 68.9640 images/s
[07/29 03:55:17] ppdet.engine INFO: Epoch: [268] [500/732] learning_rate: 0.016011 loss_vfl: 0.894403 loss_bbox: 0.458186 loss_dfl: 0.405100 loss: 1.747673 eta: 6:07:58 batch_cost: 0.5951 data_cost: 0.0003 ips: 67.2190 images/s
[07/29 03:55:31] ppdet.engine INFO: Epoch: [268] [520/732] learning_rate: 0.016011 loss_vfl: 0.907604 loss_bbox: 0.432816 loss_dfl: 0.411597 loss: 1.738233 eta: 6:07:38 batch_cost: 0.6173 data_cost: 0.0003 ips: 64.7962 images/s
[07/29 03:55:47] ppdet.engine INFO: Epoch: [268] [540/732] learning_rate: 0.016010 loss_vfl: 0.939483 loss_bbox: 0.435308 loss_dfl: 0.419919 loss: 1.759493 eta: 6:07:18 batch_cost: 0.6470 data_cost: 0.0003 ips: 61.8212 images/s
[07/29 03:56:03] ppdet.engine INFO: Epoch: [268] [560/732] learning_rate: 0.016010 loss_vfl: 0.866215 loss_bbox: 0.421318 loss_dfl: 0.397688 loss: 1.668610 eta: 6:06:58 batch_cost: 0.6591 data_cost: 0.0010 ips: 60.6863 images/s
[07/29 03:56:18] ppdet.engine INFO: Epoch: [268] [580/732] learning_rate: 0.016009 loss_vfl: 0.893117 loss_bbox: 0.436938 loss_dfl: 0.401285 loss: 1.740519 eta: 6:06:38 batch_cost: 0.6188 data_cost: 0.0003 ips: 64.6406 images/s
[07/29 03:56:32] ppdet.engine INFO: Epoch: [268] [600/732] learning_rate: 0.016009 loss_vfl: 0.925601 loss_bbox: 0.440602 loss_dfl: 0.409179 loss: 1.774892 eta: 6:06:17 batch_cost: 0.5837 data_cost: 0.0003 ips: 68.5314 images/s
[07/29 03:56:46] ppdet.engine INFO: Epoch: [268] [620/732] learning_rate: 0.016008 loss_vfl: 0.869172 loss_bbox: 0.426170 loss_dfl: 0.399956 loss: 1.707873 eta: 6:05:57 batch_cost: 0.5795 data_cost: 0.0005 ips: 69.0262 images/s
[07/29 03:57:01] ppdet.engine INFO: Epoch: [268] [640/732] learning_rate: 0.016008 loss_vfl: 0.913701 loss_bbox: 0.448867 loss_dfl: 0.422927 loss: 1.785240 eta: 6:05:37 batch_cost: 0.5941 data_cost: 0.0011 ips: 67.3232 images/s
[07/29 03:57:16] ppdet.engine INFO: Epoch: [268] [660/732] learning_rate: 0.016008 loss_vfl: 0.856119 loss_bbox: 0.439669 loss_dfl: 0.402156 loss: 1.705135 eta: 6:05:17 batch_cost: 0.6095 data_cost: 0.0003 ips: 65.6234 images/s
[07/29 03:57:32] ppdet.engine INFO: Epoch: [268] [680/732] learning_rate: 0.016007 loss_vfl: 0.887704 loss_bbox: 0.434736 loss_dfl: 0.402651 loss: 1.729824 eta: 6:04:57 batch_cost: 0.6298 data_cost: 0.0020 ips: 63.5100 images/s
[07/29 03:57:46] ppdet.engine INFO: Epoch: [268] [700/732] learning_rate: 0.016007 loss_vfl: 0.907111 loss_bbox: 0.457929 loss_dfl: 0.421494 loss: 1.782548 eta: 6:04:37 batch_cost: 0.6188 data_cost: 0.0007 ips: 64.6437 images/s
[07/29 03:58:01] ppdet.engine INFO: Epoch: [268] [720/732] learning_rate: 0.016007 loss_vfl: 0.875623 loss_bbox: 0.423314 loss_dfl: 0.393146 loss: 1.694013 eta: 6:04:17 batch_cost: 0.5877 data_cost: 0.0004 ips: 68.0623 images/s
[07/29 03:58:12] ppdet.engine INFO: Epoch: [269] [  0/732] learning_rate: 0.016006 loss_vfl: 0.960604 loss_bbox: 0.463029 loss_dfl: 0.438576 loss: 1.863378 eta: 6:04:05 batch_cost: 0.6977 data_cost: 0.1320 ips: 57.3322 images/s
[07/29 03:58:31] ppdet.engine INFO: Epoch: [269] [ 20/732] learning_rate: 0.016006 loss_vfl: 0.879061 loss_bbox: 0.435935 loss_dfl: 0.409828 loss: 1.732588 eta: 6:03:45 batch_cost: 0.7636 data_cost: 0.0009 ips: 52.3808 images/s
[07/29 03:58:46] ppdet.engine INFO: Epoch: [269] [ 40/732] learning_rate: 0.016006 loss_vfl: 0.860556 loss_bbox: 0.401760 loss_dfl: 0.386549 loss: 1.635372 eta: 6:03:25 batch_cost: 0.6253 data_cost: 0.0003 ips: 63.9702 images/s
[07/29 03:59:01] ppdet.engine INFO: Epoch: [269] [ 60/732] learning_rate: 0.016005 loss_vfl: 0.942848 loss_bbox: 0.467980 loss_dfl: 0.435466 loss: 1.850111 eta: 6:03:05 batch_cost: 0.6242 data_cost: 0.0003 ips: 64.0824 images/s
[07/29 03:59:17] ppdet.engine INFO: Epoch: [269] [ 80/732] learning_rate: 0.016005 loss_vfl: 0.853585 loss_bbox: 0.409577 loss_dfl: 0.388860 loss: 1.640683 eta: 6:02:45 batch_cost: 0.5982 data_cost: 0.0003 ips: 66.8702 images/s
[07/29 03:59:32] ppdet.engine INFO: Epoch: [269] [100/732] learning_rate: 0.016005 loss_vfl: 0.846353 loss_bbox: 0.399568 loss_dfl: 0.381671 loss: 1.621158 eta: 6:02:25 batch_cost: 0.6174 data_cost: 0.0004 ips: 64.7851 images/s
[07/29 03:59:47] ppdet.engine INFO: Epoch: [269] [120/732] learning_rate: 0.016004 loss_vfl: 0.853948 loss_bbox: 0.419909 loss_dfl: 0.400679 loss: 1.666303 eta: 6:02:05 batch_cost: 0.6027 data_cost: 0.0003 ips: 66.3662 images/s
[07/29 04:00:01] ppdet.engine INFO: Epoch: [269] [140/732] learning_rate: 0.016004 loss_vfl: 0.866695 loss_bbox: 0.424047 loss_dfl: 0.396436 loss: 1.678881 eta: 6:01:45 batch_cost: 0.6126 data_cost: 0.0003 ips: 65.2937 images/s
[07/29 04:00:16] ppdet.engine INFO: Epoch: [269] [160/732] learning_rate: 0.016004 loss_vfl: 0.837132 loss_bbox: 0.415782 loss_dfl: 0.389412 loss: 1.640551 eta: 6:01:25 batch_cost: 0.6149 data_cost: 0.0005 ips: 65.0551 images/s
[07/29 04:00:30] ppdet.engine INFO: Epoch: [269] [180/732] learning_rate: 0.016004 loss_vfl: 0.898740 loss_bbox: 0.438986 loss_dfl: 0.411854 loss: 1.747235 eta: 6:01:05 batch_cost: 0.5760 data_cost: 0.0003 ips: 69.4476 images/s
[07/29 04:00:45] ppdet.engine INFO: Epoch: [269] [200/732] learning_rate: 0.016003 loss_vfl: 0.916515 loss_bbox: 0.460017 loss_dfl: 0.411437 loss: 1.798043 eta: 6:00:45 batch_cost: 0.6248 data_cost: 0.0014 ips: 64.0250 images/s
[07/29 04:01:01] ppdet.engine INFO: Epoch: [269] [220/732] learning_rate: 0.016003 loss_vfl: 0.921178 loss_bbox: 0.453698 loss_dfl: 0.420673 loss: 1.795550 eta: 6:00:25 batch_cost: 0.6362 data_cost: 0.0010 ips: 62.8689 images/s
[07/29 04:01:15] ppdet.engine INFO: Epoch: [269] [240/732] learning_rate: 0.016003 loss_vfl: 0.842466 loss_bbox: 0.409670 loss_dfl: 0.388126 loss: 1.643644 eta: 6:00:05 batch_cost: 0.5732 data_cost: 0.0016 ips: 69.7780 images/s
[07/29 04:01:29] ppdet.engine INFO: Epoch: [269] [260/732] learning_rate: 0.016003 loss_vfl: 0.856089 loss_bbox: 0.422495 loss_dfl: 0.390775 loss: 1.682239 eta: 5:59:45 batch_cost: 0.5414 data_cost: 0.0003 ips: 73.8780 images/s
[07/29 04:01:43] ppdet.engine INFO: Epoch: [269] [280/732] learning_rate: 0.016002 loss_vfl: 0.902485 loss_bbox: 0.450187 loss_dfl: 0.415210 loss: 1.768696 eta: 5:59:24 batch_cost: 0.5887 data_cost: 0.0003 ips: 67.9437 images/s
[07/29 04:01:58] ppdet.engine INFO: Epoch: [269] [300/732] learning_rate: 0.016002 loss_vfl: 0.896792 loss_bbox: 0.433455 loss_dfl: 0.408584 loss: 1.748400 eta: 5:59:04 batch_cost: 0.5998 data_cost: 0.0003 ips: 66.6926 images/s
[07/29 04:02:12] ppdet.engine INFO: Epoch: [269] [320/732] learning_rate: 0.016002 loss_vfl: 0.885870 loss_bbox: 0.424595 loss_dfl: 0.404482 loss: 1.700112 eta: 5:58:44 batch_cost: 0.5312 data_cost: 0.0010 ips: 75.3072 images/s
[07/29 04:02:25] ppdet.engine INFO: Epoch: [269] [340/732] learning_rate: 0.016002 loss_vfl: 0.881428 loss_bbox: 0.440381 loss_dfl: 0.393417 loss: 1.707029 eta: 5:58:24 batch_cost: 0.5592 data_cost: 0.0003 ips: 71.5326 images/s
[07/29 04:02:39] ppdet.engine INFO: Epoch: [269] [360/732] learning_rate: 0.016002 loss_vfl: 0.846743 loss_bbox: 0.428996 loss_dfl: 0.385157 loss: 1.655032 eta: 5:58:04 batch_cost: 0.5771 data_cost: 0.0006 ips: 69.3155 images/s
[07/29 04:02:53] ppdet.engine INFO: Epoch: [269] [380/732] learning_rate: 0.016001 loss_vfl: 0.876643 loss_bbox: 0.450660 loss_dfl: 0.403628 loss: 1.728561 eta: 5:57:44 batch_cost: 0.5077 data_cost: 0.0005 ips: 78.7808 images/s
[07/29 04:03:08] ppdet.engine INFO: Epoch: [269] [400/732] learning_rate: 0.016001 loss_vfl: 0.908123 loss_bbox: 0.466541 loss_dfl: 0.415972 loss: 1.791992 eta: 5:57:24 batch_cost: 0.6128 data_cost: 0.0003 ips: 65.2791 images/s
[07/29 04:03:24] ppdet.engine INFO: Epoch: [269] [420/732] learning_rate: 0.016001 loss_vfl: 0.870612 loss_bbox: 0.422936 loss_dfl: 0.388796 loss: 1.650405 eta: 5:57:04 batch_cost: 0.6260 data_cost: 0.0013 ips: 63.8930 images/s
[07/29 04:03:39] ppdet.engine INFO: Epoch: [269] [440/732] learning_rate: 0.016001 loss_vfl: 0.862175 loss_bbox: 0.426805 loss_dfl: 0.395881 loss: 1.691410 eta: 5:56:44 batch_cost: 0.6733 data_cost: 0.0009 ips: 59.4127 images/s
[07/29 04:03:53] ppdet.engine INFO: Epoch: [269] [460/732] learning_rate: 0.016001 loss_vfl: 0.910449 loss_bbox: 0.442041 loss_dfl: 0.402008 loss: 1.728452 eta: 5:56:24 batch_cost: 0.5412 data_cost: 0.0003 ips: 73.9167 images/s
[07/29 04:04:09] ppdet.engine INFO: Epoch: [269] [480/732] learning_rate: 0.016001 loss_vfl: 0.933282 loss_bbox: 0.448248 loss_dfl: 0.401867 loss: 1.776173 eta: 5:56:04 batch_cost: 0.6337 data_cost: 0.0004 ips: 63.1262 images/s
[07/29 04:04:24] ppdet.engine INFO: Epoch: [269] [500/732] learning_rate: 0.016001 loss_vfl: 0.882538 loss_bbox: 0.439425 loss_dfl: 0.403238 loss: 1.719179 eta: 5:55:44 batch_cost: 0.6074 data_cost: 0.0003 ips: 65.8525 images/s
[07/29 04:04:39] ppdet.engine INFO: Epoch: [269] [520/732] learning_rate: 0.016001 loss_vfl: 0.878604 loss_bbox: 0.434306 loss_dfl: 0.405170 loss: 1.726449 eta: 5:55:24 batch_cost: 0.6264 data_cost: 0.0003 ips: 63.8578 images/s
[07/29 04:04:54] ppdet.engine INFO: Epoch: [269] [540/732] learning_rate: 0.016000 loss_vfl: 0.878211 loss_bbox: 0.424973 loss_dfl: 0.391505 loss: 1.682648 eta: 5:55:03 batch_cost: 0.5803 data_cost: 0.0005 ips: 68.9318 images/s
[07/29 04:05:09] ppdet.engine INFO: Epoch: [269] [560/732] learning_rate: 0.016000 loss_vfl: 0.914001 loss_bbox: 0.433700 loss_dfl: 0.409618 loss: 1.757515 eta: 5:54:43 batch_cost: 0.6019 data_cost: 0.0003 ips: 66.4544 images/s
[07/29 04:05:23] ppdet.engine INFO: Epoch: [269] [580/732] learning_rate: 0.016000 loss_vfl: 0.904131 loss_bbox: 0.416636 loss_dfl: 0.413600 loss: 1.761731 eta: 5:54:23 batch_cost: 0.5788 data_cost: 0.0012 ips: 69.1038 images/s
[07/29 04:05:38] ppdet.engine INFO: Epoch: [269] [600/732] learning_rate: 0.016000 loss_vfl: 0.914567 loss_bbox: 0.441636 loss_dfl: 0.418233 loss: 1.776385 eta: 5:54:03 batch_cost: 0.6219 data_cost: 0.0003 ips: 64.3192 images/s
[07/29 04:05:54] ppdet.engine INFO: Epoch: [269] [620/732] learning_rate: 0.016000 loss_vfl: 0.885338 loss_bbox: 0.422824 loss_dfl: 0.408407 loss: 1.714400 eta: 5:53:43 batch_cost: 0.6639 data_cost: 0.0003 ips: 60.2488 images/s
[07/29 04:06:10] ppdet.engine INFO: Epoch: [269] [640/732] learning_rate: 0.016000 loss_vfl: 0.898933 loss_bbox: 0.419746 loss_dfl: 0.397220 loss: 1.706456 eta: 5:53:23 batch_cost: 0.5987 data_cost: 0.0003 ips: 66.8108 images/s
[07/29 04:06:25] ppdet.engine INFO: Epoch: [269] [660/732] learning_rate: 0.016000 loss_vfl: 0.917464 loss_bbox: 0.446164 loss_dfl: 0.422702 loss: 1.796196 eta: 5:53:03 batch_cost: 0.6012 data_cost: 0.0003 ips: 66.5359 images/s
[07/29 04:06:40] ppdet.engine INFO: Epoch: [269] [680/732] learning_rate: 0.016000 loss_vfl: 0.862637 loss_bbox: 0.401340 loss_dfl: 0.396316 loss: 1.671029 eta: 5:52:43 batch_cost: 0.6177 data_cost: 0.0011 ips: 64.7563 images/s
[07/29 04:06:54] ppdet.engine INFO: Epoch: [269] [700/732] learning_rate: 0.016000 loss_vfl: 0.867705 loss_bbox: 0.411059 loss_dfl: 0.387106 loss: 1.651576 eta: 5:52:23 batch_cost: 0.5490 data_cost: 0.0003 ips: 72.8591 images/s
[07/29 04:07:08] ppdet.engine INFO: Epoch: [269] [720/732] learning_rate: 0.016000 loss_vfl: 0.950979 loss_bbox: 0.475285 loss_dfl: 0.445141 loss: 1.859964 eta: 5:52:03 batch_cost: 0.5957 data_cost: 0.0004 ips: 67.1522 images/s
[07/29 04:07:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 04:07:18] ppdet.engine INFO: Eval iter: 0
[07/29 04:07:33] ppdet.engine INFO: Eval iter: 100
[07/29 04:07:42] ppdet.engine INFO: Eval iter: 200
[07/29 04:07:51] ppdet.engine INFO: Eval iter: 300
[07/29 04:08:00] ppdet.engine INFO: Eval iter: 400
[07/29 04:08:10] ppdet.engine INFO: Eval iter: 500
[07/29 04:08:18] ppdet.engine INFO: Eval iter: 600
[07/29 04:08:35] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.64s)
creating index...
index created!
[07/29 04:08:35] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.85s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=100.36s).
Accumulating evaluation results...
DONE (t=18.35s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.300
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.441
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.318
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.109
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.321
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.461
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.275
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.449
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.479
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.215
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.535
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.712
[07/29 04:10:41] ppdet.engine INFO: Total sample number: 4952, averge FPS: 78.03196972715371
[07/29 04:10:41] ppdet.engine INFO: Best test bbox ap is 0.300.
[07/29 04:10:41] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 04:10:42] ppdet.engine INFO: Epoch: [270] [  0/732] learning_rate: 0.016000 loss_vfl: 0.903038 loss_bbox: 0.441976 loss_dfl: 0.408238 loss: 1.774991 eta: 5:51:51 batch_cost: 0.5441 data_cost: 0.0003 ips: 73.5156 images/s
[07/29 04:10:59] ppdet.engine INFO: Epoch: [270] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.958736 loss_bbox: 0.470855 loss_dfl: 0.437277 loss: 1.883920 eta: 5:51:31 batch_cost: 0.6924 data_cost: 0.0003 ips: 57.7712 images/s
[07/29 04:11:14] ppdet.engine INFO: Epoch: [270] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.848124 loss_bbox: 0.424858 loss_dfl: 0.394451 loss: 1.671028 eta: 5:51:11 batch_cost: 0.6315 data_cost: 0.0009 ips: 63.3398 images/s
[07/29 04:11:30] ppdet.engine INFO: Epoch: [270] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.918844 loss_bbox: 0.420921 loss_dfl: 0.411997 loss: 1.761922 eta: 5:50:51 batch_cost: 0.6732 data_cost: 0.0008 ips: 59.4161 images/s
[07/29 04:11:47] ppdet.engine INFO: Epoch: [270] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.878414 loss_bbox: 0.439091 loss_dfl: 0.414802 loss: 1.751816 eta: 5:50:32 batch_cost: 0.6745 data_cost: 0.0003 ips: 59.3027 images/s
[07/29 04:12:01] ppdet.engine INFO: Epoch: [270] [100/732] learning_rate: 0.016000 loss_vfl: 0.930788 loss_bbox: 0.471705 loss_dfl: 0.437617 loss: 1.850521 eta: 5:50:11 batch_cost: 0.5911 data_cost: 0.0003 ips: 67.6702 images/s
[07/29 04:12:17] ppdet.engine INFO: Epoch: [270] [120/732] learning_rate: 0.016000 loss_vfl: 0.899835 loss_bbox: 0.443497 loss_dfl: 0.407745 loss: 1.762807 eta: 5:49:52 batch_cost: 0.6614 data_cost: 0.0003 ips: 60.4773 images/s
[07/29 04:12:33] ppdet.engine INFO: Epoch: [270] [140/732] learning_rate: 0.016000 loss_vfl: 0.948325 loss_bbox: 0.480161 loss_dfl: 0.438060 loss: 1.876463 eta: 5:49:32 batch_cost: 0.6538 data_cost: 0.0003 ips: 61.1819 images/s
[07/29 04:12:48] ppdet.engine INFO: Epoch: [270] [160/732] learning_rate: 0.016000 loss_vfl: 0.895398 loss_bbox: 0.430266 loss_dfl: 0.403194 loss: 1.702360 eta: 5:49:12 batch_cost: 0.6485 data_cost: 0.0003 ips: 61.6817 images/s
[07/29 04:13:03] ppdet.engine INFO: Epoch: [270] [180/732] learning_rate: 0.016000 loss_vfl: 0.914281 loss_bbox: 0.452864 loss_dfl: 0.421691 loss: 1.805847 eta: 5:48:52 batch_cost: 0.6074 data_cost: 0.0003 ips: 65.8531 images/s
[07/29 04:13:18] ppdet.engine INFO: Epoch: [270] [200/732] learning_rate: 0.016000 loss_vfl: 0.898287 loss_bbox: 0.470308 loss_dfl: 0.425622 loss: 1.778650 eta: 5:48:32 batch_cost: 0.6318 data_cost: 0.0008 ips: 63.3064 images/s
[07/29 04:13:34] ppdet.engine INFO: Epoch: [270] [220/732] learning_rate: 0.016000 loss_vfl: 0.812769 loss_bbox: 0.405459 loss_dfl: 0.374149 loss: 1.585706 eta: 5:48:12 batch_cost: 0.6435 data_cost: 0.0003 ips: 62.1620 images/s
[07/29 04:13:49] ppdet.engine INFO: Epoch: [270] [240/732] learning_rate: 0.016000 loss_vfl: 0.870998 loss_bbox: 0.424089 loss_dfl: 0.396343 loss: 1.684932 eta: 5:47:52 batch_cost: 0.5824 data_cost: 0.0008 ips: 68.6855 images/s
[07/29 04:14:05] ppdet.engine INFO: Epoch: [270] [260/732] learning_rate: 0.016000 loss_vfl: 0.891420 loss_bbox: 0.445597 loss_dfl: 0.407177 loss: 1.718816 eta: 5:47:32 batch_cost: 0.6555 data_cost: 0.0003 ips: 61.0267 images/s
[07/29 04:14:20] ppdet.engine INFO: Epoch: [270] [280/732] learning_rate: 0.016000 loss_vfl: 0.870765 loss_bbox: 0.403241 loss_dfl: 0.388036 loss: 1.667985 eta: 5:47:12 batch_cost: 0.5979 data_cost: 0.0003 ips: 66.8981 images/s
[07/29 04:14:36] ppdet.engine INFO: Epoch: [270] [300/732] learning_rate: 0.016000 loss_vfl: 0.884914 loss_bbox: 0.413990 loss_dfl: 0.396452 loss: 1.686163 eta: 5:46:52 batch_cost: 0.6176 data_cost: 0.0020 ips: 64.7716 images/s
[07/29 04:14:51] ppdet.engine INFO: Epoch: [270] [320/732] learning_rate: 0.016000 loss_vfl: 0.910013 loss_bbox: 0.452998 loss_dfl: 0.398461 loss: 1.737580 eta: 5:46:32 batch_cost: 0.6057 data_cost: 0.0008 ips: 66.0403 images/s
[07/29 04:15:07] ppdet.engine INFO: Epoch: [270] [340/732] learning_rate: 0.016000 loss_vfl: 0.859505 loss_bbox: 0.413577 loss_dfl: 0.387582 loss: 1.690084 eta: 5:46:12 batch_cost: 0.6239 data_cost: 0.0003 ips: 64.1169 images/s
[07/29 04:15:23] ppdet.engine INFO: Epoch: [270] [360/732] learning_rate: 0.016000 loss_vfl: 0.864250 loss_bbox: 0.423639 loss_dfl: 0.390111 loss: 1.661417 eta: 5:45:52 batch_cost: 0.6318 data_cost: 0.0003 ips: 63.3147 images/s
[07/29 04:15:37] ppdet.engine INFO: Epoch: [270] [380/732] learning_rate: 0.016000 loss_vfl: 0.901972 loss_bbox: 0.441169 loss_dfl: 0.414874 loss: 1.750486 eta: 5:45:32 batch_cost: 0.5888 data_cost: 0.0017 ips: 67.9358 images/s
[07/29 04:15:52] ppdet.engine INFO: Epoch: [270] [400/732] learning_rate: 0.016000 loss_vfl: 0.900959 loss_bbox: 0.440773 loss_dfl: 0.409683 loss: 1.723771 eta: 5:45:12 batch_cost: 0.6180 data_cost: 0.0003 ips: 64.7229 images/s
[07/29 04:16:08] ppdet.engine INFO: Epoch: [270] [420/732] learning_rate: 0.016000 loss_vfl: 0.888854 loss_bbox: 0.430730 loss_dfl: 0.409970 loss: 1.722532 eta: 5:44:52 batch_cost: 0.6536 data_cost: 0.0003 ips: 61.2018 images/s
[07/29 04:16:24] ppdet.engine INFO: Epoch: [270] [440/732] learning_rate: 0.016000 loss_vfl: 0.862833 loss_bbox: 0.424906 loss_dfl: 0.392108 loss: 1.667641 eta: 5:44:32 batch_cost: 0.6412 data_cost: 0.0010 ips: 62.3835 images/s
[07/29 04:16:39] ppdet.engine INFO: Epoch: [270] [460/732] learning_rate: 0.016000 loss_vfl: 0.928397 loss_bbox: 0.445557 loss_dfl: 0.419089 loss: 1.806393 eta: 5:44:12 batch_cost: 0.6084 data_cost: 0.0005 ips: 65.7460 images/s
[07/29 04:16:54] ppdet.engine INFO: Epoch: [270] [480/732] learning_rate: 0.016000 loss_vfl: 0.892168 loss_bbox: 0.451878 loss_dfl: 0.418627 loss: 1.757757 eta: 5:43:52 batch_cost: 0.6203 data_cost: 0.0012 ips: 64.4803 images/s
[07/29 04:17:11] ppdet.engine INFO: Epoch: [270] [500/732] learning_rate: 0.016000 loss_vfl: 0.942201 loss_bbox: 0.466978 loss_dfl: 0.432271 loss: 1.836035 eta: 5:43:33 batch_cost: 0.6771 data_cost: 0.0022 ips: 59.0721 images/s
[07/29 04:17:27] ppdet.engine INFO: Epoch: [270] [520/732] learning_rate: 0.016000 loss_vfl: 0.914783 loss_bbox: 0.448695 loss_dfl: 0.424228 loss: 1.804104 eta: 5:43:13 batch_cost: 0.6391 data_cost: 0.0003 ips: 62.5896 images/s
[07/29 04:17:41] ppdet.engine INFO: Epoch: [270] [540/732] learning_rate: 0.016000 loss_vfl: 0.852520 loss_bbox: 0.410434 loss_dfl: 0.383606 loss: 1.618264 eta: 5:42:53 batch_cost: 0.6117 data_cost: 0.0019 ips: 65.3961 images/s
[07/29 04:17:56] ppdet.engine INFO: Epoch: [270] [560/732] learning_rate: 0.016000 loss_vfl: 0.875537 loss_bbox: 0.415073 loss_dfl: 0.395783 loss: 1.688373 eta: 5:42:33 batch_cost: 0.6137 data_cost: 0.0012 ips: 65.1777 images/s
[07/29 04:18:12] ppdet.engine INFO: Epoch: [270] [580/732] learning_rate: 0.016000 loss_vfl: 0.896721 loss_bbox: 0.421740 loss_dfl: 0.402157 loss: 1.735830 eta: 5:42:13 batch_cost: 0.5964 data_cost: 0.0003 ips: 67.0743 images/s
[07/29 04:18:28] ppdet.engine INFO: Epoch: [270] [600/732] learning_rate: 0.016000 loss_vfl: 0.898697 loss_bbox: 0.450512 loss_dfl: 0.421798 loss: 1.789452 eta: 5:41:53 batch_cost: 0.6652 data_cost: 0.0009 ips: 60.1316 images/s
[07/29 04:18:43] ppdet.engine INFO: Epoch: [270] [620/732] learning_rate: 0.016000 loss_vfl: 0.900665 loss_bbox: 0.442456 loss_dfl: 0.411345 loss: 1.755823 eta: 5:41:33 batch_cost: 0.6615 data_cost: 0.0020 ips: 60.4647 images/s
[07/29 04:18:59] ppdet.engine INFO: Epoch: [270] [640/732] learning_rate: 0.016000 loss_vfl: 0.894868 loss_bbox: 0.447768 loss_dfl: 0.413516 loss: 1.765181 eta: 5:41:13 batch_cost: 0.6536 data_cost: 0.0034 ips: 61.2022 images/s
[07/29 04:19:14] ppdet.engine INFO: Epoch: [270] [660/732] learning_rate: 0.016000 loss_vfl: 0.904351 loss_bbox: 0.457370 loss_dfl: 0.412263 loss: 1.774976 eta: 5:40:53 batch_cost: 0.6616 data_cost: 0.0018 ips: 60.4599 images/s
[07/29 04:19:30] ppdet.engine INFO: Epoch: [270] [680/732] learning_rate: 0.016000 loss_vfl: 0.871990 loss_bbox: 0.442695 loss_dfl: 0.404177 loss: 1.718868 eta: 5:40:33 batch_cost: 0.6478 data_cost: 0.0011 ips: 61.7484 images/s
[07/29 04:19:46] ppdet.engine INFO: Epoch: [270] [700/732] learning_rate: 0.016000 loss_vfl: 0.916618 loss_bbox: 0.448721 loss_dfl: 0.425173 loss: 1.782144 eta: 5:40:14 batch_cost: 0.6408 data_cost: 0.0009 ips: 62.4249 images/s
[07/29 04:20:01] ppdet.engine INFO: Epoch: [270] [720/732] learning_rate: 0.016000 loss_vfl: 0.857394 loss_bbox: 0.416978 loss_dfl: 0.388051 loss: 1.647432 eta: 5:39:54 batch_cost: 0.6270 data_cost: 0.0005 ips: 63.7963 images/s
[07/29 04:20:16] ppdet.engine INFO: Epoch: [271] [  0/732] learning_rate: 0.016000 loss_vfl: 0.875385 loss_bbox: 0.422938 loss_dfl: 0.394055 loss: 1.698857 eta: 5:39:42 batch_cost: 0.8829 data_cost: 0.2342 ips: 45.3032 images/s
[07/29 04:20:34] ppdet.engine INFO: Epoch: [271] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.850976 loss_bbox: 0.415902 loss_dfl: 0.394741 loss: 1.663700 eta: 5:39:22 batch_cost: 0.7130 data_cost: 0.0027 ips: 56.1045 images/s
[07/29 04:20:49] ppdet.engine INFO: Epoch: [271] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.895684 loss_bbox: 0.445497 loss_dfl: 0.411496 loss: 1.757338 eta: 5:39:02 batch_cost: 0.5781 data_cost: 0.0004 ips: 69.1893 images/s
[07/29 04:21:06] ppdet.engine INFO: Epoch: [271] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.911173 loss_bbox: 0.428474 loss_dfl: 0.419708 loss: 1.786074 eta: 5:38:43 batch_cost: 0.6795 data_cost: 0.0014 ips: 58.8689 images/s
[07/29 04:21:21] ppdet.engine INFO: Epoch: [271] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.844786 loss_bbox: 0.434604 loss_dfl: 0.397979 loss: 1.677000 eta: 5:38:23 batch_cost: 0.6436 data_cost: 0.0010 ips: 62.1484 images/s
[07/29 04:21:36] ppdet.engine INFO: Epoch: [271] [100/732] learning_rate: 0.016000 loss_vfl: 0.850556 loss_bbox: 0.421124 loss_dfl: 0.399248 loss: 1.660704 eta: 5:38:03 batch_cost: 0.5614 data_cost: 0.0022 ips: 71.2492 images/s
[07/29 04:21:51] ppdet.engine INFO: Epoch: [271] [120/732] learning_rate: 0.016000 loss_vfl: 0.886571 loss_bbox: 0.472684 loss_dfl: 0.419510 loss: 1.775481 eta: 5:37:43 batch_cost: 0.6285 data_cost: 0.0010 ips: 63.6486 images/s
[07/29 04:22:06] ppdet.engine INFO: Epoch: [271] [140/732] learning_rate: 0.016000 loss_vfl: 0.929420 loss_bbox: 0.475325 loss_dfl: 0.427336 loss: 1.838186 eta: 5:37:23 batch_cost: 0.6222 data_cost: 0.0003 ips: 64.2920 images/s
[07/29 04:22:21] ppdet.engine INFO: Epoch: [271] [160/732] learning_rate: 0.016000 loss_vfl: 0.861336 loss_bbox: 0.417382 loss_dfl: 0.386517 loss: 1.646231 eta: 5:37:03 batch_cost: 0.5953 data_cost: 0.0005 ips: 67.1972 images/s
[07/29 04:22:36] ppdet.engine INFO: Epoch: [271] [180/732] learning_rate: 0.016000 loss_vfl: 0.924069 loss_bbox: 0.462154 loss_dfl: 0.424472 loss: 1.829195 eta: 5:36:43 batch_cost: 0.5761 data_cost: 0.0008 ips: 69.4341 images/s
[07/29 04:22:51] ppdet.engine INFO: Epoch: [271] [200/732] learning_rate: 0.016000 loss_vfl: 0.874933 loss_bbox: 0.453660 loss_dfl: 0.402381 loss: 1.730269 eta: 5:36:23 batch_cost: 0.6288 data_cost: 0.0017 ips: 63.6141 images/s
[07/29 04:23:07] ppdet.engine INFO: Epoch: [271] [220/732] learning_rate: 0.016000 loss_vfl: 0.916185 loss_bbox: 0.449102 loss_dfl: 0.408423 loss: 1.763463 eta: 5:36:03 batch_cost: 0.5964 data_cost: 0.0004 ips: 67.0679 images/s
[07/29 04:23:22] ppdet.engine INFO: Epoch: [271] [240/732] learning_rate: 0.016000 loss_vfl: 0.848632 loss_bbox: 0.412960 loss_dfl: 0.383827 loss: 1.641024 eta: 5:35:43 batch_cost: 0.5902 data_cost: 0.0004 ips: 67.7721 images/s
[07/29 04:23:37] ppdet.engine INFO: Epoch: [271] [260/732] learning_rate: 0.016000 loss_vfl: 0.875907 loss_bbox: 0.431115 loss_dfl: 0.395821 loss: 1.714477 eta: 5:35:23 batch_cost: 0.5992 data_cost: 0.0003 ips: 66.7596 images/s
[07/29 04:23:52] ppdet.engine INFO: Epoch: [271] [280/732] learning_rate: 0.016000 loss_vfl: 0.853162 loss_bbox: 0.418712 loss_dfl: 0.386594 loss: 1.668406 eta: 5:35:03 batch_cost: 0.6330 data_cost: 0.0015 ips: 63.1951 images/s
[07/29 04:24:06] ppdet.engine INFO: Epoch: [271] [300/732] learning_rate: 0.016000 loss_vfl: 0.872583 loss_bbox: 0.440120 loss_dfl: 0.397810 loss: 1.702079 eta: 5:34:43 batch_cost: 0.5973 data_cost: 0.0020 ips: 66.9629 images/s
[07/29 04:24:21] ppdet.engine INFO: Epoch: [271] [320/732] learning_rate: 0.016000 loss_vfl: 0.946780 loss_bbox: 0.469173 loss_dfl: 0.431472 loss: 1.874970 eta: 5:34:23 batch_cost: 0.5935 data_cost: 0.0009 ips: 67.3992 images/s
[07/29 04:24:36] ppdet.engine INFO: Epoch: [271] [340/732] learning_rate: 0.016000 loss_vfl: 0.847131 loss_bbox: 0.441044 loss_dfl: 0.402810 loss: 1.699040 eta: 5:34:03 batch_cost: 0.6341 data_cost: 0.0007 ips: 63.0818 images/s
[07/29 04:24:52] ppdet.engine INFO: Epoch: [271] [360/732] learning_rate: 0.016000 loss_vfl: 0.877142 loss_bbox: 0.440726 loss_dfl: 0.398586 loss: 1.711253 eta: 5:33:44 batch_cost: 0.6103 data_cost: 0.0003 ips: 65.5441 images/s
[07/29 04:25:07] ppdet.engine INFO: Epoch: [271] [380/732] learning_rate: 0.016000 loss_vfl: 0.897447 loss_bbox: 0.439572 loss_dfl: 0.398891 loss: 1.708180 eta: 5:33:24 batch_cost: 0.6193 data_cost: 0.0004 ips: 64.5862 images/s
[07/29 04:25:22] ppdet.engine INFO: Epoch: [271] [400/732] learning_rate: 0.016000 loss_vfl: 0.876937 loss_bbox: 0.425685 loss_dfl: 0.390032 loss: 1.659790 eta: 5:33:04 batch_cost: 0.6112 data_cost: 0.0011 ips: 65.4475 images/s
[07/29 04:25:35] ppdet.engine INFO: Epoch: [271] [420/732] learning_rate: 0.016000 loss_vfl: 0.895999 loss_bbox: 0.449976 loss_dfl: 0.409557 loss: 1.750264 eta: 5:32:44 batch_cost: 0.5518 data_cost: 0.0010 ips: 72.4880 images/s
[07/29 04:25:50] ppdet.engine INFO: Epoch: [271] [440/732] learning_rate: 0.016000 loss_vfl: 0.902508 loss_bbox: 0.450205 loss_dfl: 0.420170 loss: 1.761792 eta: 5:32:24 batch_cost: 0.6167 data_cost: 0.0009 ips: 64.8582 images/s
[07/29 04:26:06] ppdet.engine INFO: Epoch: [271] [460/732] learning_rate: 0.016000 loss_vfl: 0.881009 loss_bbox: 0.431682 loss_dfl: 0.412888 loss: 1.743605 eta: 5:32:04 batch_cost: 0.6175 data_cost: 0.0008 ips: 64.7777 images/s
[07/29 04:26:20] ppdet.engine INFO: Epoch: [271] [480/732] learning_rate: 0.016000 loss_vfl: 0.907214 loss_bbox: 0.445449 loss_dfl: 0.404224 loss: 1.753492 eta: 5:31:44 batch_cost: 0.5844 data_cost: 0.0010 ips: 68.4478 images/s
[07/29 04:26:35] ppdet.engine INFO: Epoch: [271] [500/732] learning_rate: 0.016000 loss_vfl: 0.863424 loss_bbox: 0.399156 loss_dfl: 0.385987 loss: 1.664117 eta: 5:31:24 batch_cost: 0.6158 data_cost: 0.0003 ips: 64.9528 images/s
[07/29 04:26:51] ppdet.engine INFO: Epoch: [271] [520/732] learning_rate: 0.016000 loss_vfl: 0.838058 loss_bbox: 0.402761 loss_dfl: 0.381887 loss: 1.626756 eta: 5:31:04 batch_cost: 0.6030 data_cost: 0.0010 ips: 66.3301 images/s
[07/29 04:27:05] ppdet.engine INFO: Epoch: [271] [540/732] learning_rate: 0.016000 loss_vfl: 0.927116 loss_bbox: 0.439979 loss_dfl: 0.420813 loss: 1.767118 eta: 5:30:44 batch_cost: 0.5964 data_cost: 0.0003 ips: 67.0709 images/s
[07/29 04:27:21] ppdet.engine INFO: Epoch: [271] [560/732] learning_rate: 0.016000 loss_vfl: 0.860892 loss_bbox: 0.415159 loss_dfl: 0.390083 loss: 1.677253 eta: 5:30:24 batch_cost: 0.6415 data_cost: 0.0015 ips: 62.3545 images/s
[07/29 04:27:35] ppdet.engine INFO: Epoch: [271] [580/732] learning_rate: 0.016000 loss_vfl: 0.918062 loss_bbox: 0.451674 loss_dfl: 0.427908 loss: 1.800700 eta: 5:30:04 batch_cost: 0.5638 data_cost: 0.0016 ips: 70.9440 images/s
[07/29 04:27:50] ppdet.engine INFO: Epoch: [271] [600/732] learning_rate: 0.016000 loss_vfl: 0.901394 loss_bbox: 0.424235 loss_dfl: 0.404986 loss: 1.726107 eta: 5:29:44 batch_cost: 0.6211 data_cost: 0.0004 ips: 64.3990 images/s
[07/29 04:28:05] ppdet.engine INFO: Epoch: [271] [620/732] learning_rate: 0.016000 loss_vfl: 0.875007 loss_bbox: 0.447853 loss_dfl: 0.405674 loss: 1.730885 eta: 5:29:25 batch_cost: 0.6329 data_cost: 0.0031 ips: 63.1971 images/s
[07/29 04:28:21] ppdet.engine INFO: Epoch: [271] [640/732] learning_rate: 0.016000 loss_vfl: 0.898019 loss_bbox: 0.439619 loss_dfl: 0.408814 loss: 1.747147 eta: 5:29:05 batch_cost: 0.6210 data_cost: 0.0003 ips: 64.4110 images/s
[07/29 04:28:36] ppdet.engine INFO: Epoch: [271] [660/732] learning_rate: 0.016000 loss_vfl: 0.831634 loss_bbox: 0.406099 loss_dfl: 0.382411 loss: 1.622792 eta: 5:28:45 batch_cost: 0.6051 data_cost: 0.0003 ips: 66.1019 images/s
[07/29 04:28:51] ppdet.engine INFO: Epoch: [271] [680/732] learning_rate: 0.016000 loss_vfl: 0.927797 loss_bbox: 0.463802 loss_dfl: 0.410487 loss: 1.784522 eta: 5:28:25 batch_cost: 0.6346 data_cost: 0.0023 ips: 63.0353 images/s
[07/29 04:29:07] ppdet.engine INFO: Epoch: [271] [700/732] learning_rate: 0.016000 loss_vfl: 0.898267 loss_bbox: 0.423423 loss_dfl: 0.402352 loss: 1.744712 eta: 5:28:05 batch_cost: 0.6489 data_cost: 0.0004 ips: 61.6445 images/s
[07/29 04:29:22] ppdet.engine INFO: Epoch: [271] [720/732] learning_rate: 0.016000 loss_vfl: 0.892605 loss_bbox: 0.428057 loss_dfl: 0.403300 loss: 1.743870 eta: 5:27:45 batch_cost: 0.6037 data_cost: 0.0009 ips: 66.2628 images/s
[07/29 04:29:35] ppdet.engine INFO: Epoch: [272] [  0/732] learning_rate: 0.016000 loss_vfl: 0.868826 loss_bbox: 0.429842 loss_dfl: 0.395697 loss: 1.669828 eta: 5:27:34 batch_cost: 0.7502 data_cost: 0.1749 ips: 53.3162 images/s
[07/29 04:29:53] ppdet.engine INFO: Epoch: [272] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.922574 loss_bbox: 0.465625 loss_dfl: 0.423103 loss: 1.814333 eta: 5:27:14 batch_cost: 0.7585 data_cost: 0.0003 ips: 52.7368 images/s
[07/29 04:30:09] ppdet.engine INFO: Epoch: [272] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.894968 loss_bbox: 0.432752 loss_dfl: 0.407933 loss: 1.736549 eta: 5:26:54 batch_cost: 0.6737 data_cost: 0.0010 ips: 59.3725 images/s
[07/29 04:30:23] ppdet.engine INFO: Epoch: [272] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.919832 loss_bbox: 0.450202 loss_dfl: 0.411985 loss: 1.785989 eta: 5:26:34 batch_cost: 0.5787 data_cost: 0.0012 ips: 69.1249 images/s
[07/29 04:30:38] ppdet.engine INFO: Epoch: [272] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.817337 loss_bbox: 0.418435 loss_dfl: 0.379229 loss: 1.609982 eta: 5:26:14 batch_cost: 0.6382 data_cost: 0.0008 ips: 62.6786 images/s
[07/29 04:30:54] ppdet.engine INFO: Epoch: [272] [100/732] learning_rate: 0.016000 loss_vfl: 0.919772 loss_bbox: 0.454358 loss_dfl: 0.427000 loss: 1.812623 eta: 5:25:55 batch_cost: 0.6573 data_cost: 0.0016 ips: 60.8556 images/s
[07/29 04:31:09] ppdet.engine INFO: Epoch: [272] [120/732] learning_rate: 0.016000 loss_vfl: 0.924869 loss_bbox: 0.454943 loss_dfl: 0.428656 loss: 1.816122 eta: 5:25:35 batch_cost: 0.6229 data_cost: 0.0003 ips: 64.2185 images/s
[07/29 04:31:24] ppdet.engine INFO: Epoch: [272] [140/732] learning_rate: 0.016000 loss_vfl: 0.876717 loss_bbox: 0.445348 loss_dfl: 0.402608 loss: 1.727429 eta: 5:25:15 batch_cost: 0.5889 data_cost: 0.0003 ips: 67.9260 images/s
[07/29 04:31:40] ppdet.engine INFO: Epoch: [272] [160/732] learning_rate: 0.016000 loss_vfl: 0.889160 loss_bbox: 0.445334 loss_dfl: 0.407347 loss: 1.756785 eta: 5:24:55 batch_cost: 0.6198 data_cost: 0.0003 ips: 64.5391 images/s
[07/29 04:31:54] ppdet.engine INFO: Epoch: [272] [180/732] learning_rate: 0.016000 loss_vfl: 0.882254 loss_bbox: 0.436006 loss_dfl: 0.410496 loss: 1.728036 eta: 5:24:35 batch_cost: 0.5750 data_cost: 0.0003 ips: 69.5593 images/s
[07/29 04:32:09] ppdet.engine INFO: Epoch: [272] [200/732] learning_rate: 0.016000 loss_vfl: 0.946398 loss_bbox: 0.458229 loss_dfl: 0.429305 loss: 1.845412 eta: 5:24:15 batch_cost: 0.6329 data_cost: 0.0003 ips: 63.1964 images/s
[07/29 04:32:25] ppdet.engine INFO: Epoch: [272] [220/732] learning_rate: 0.016000 loss_vfl: 0.874229 loss_bbox: 0.433207 loss_dfl: 0.400868 loss: 1.729049 eta: 5:23:55 batch_cost: 0.6476 data_cost: 0.0004 ips: 61.7645 images/s
[07/29 04:32:39] ppdet.engine INFO: Epoch: [272] [240/732] learning_rate: 0.016000 loss_vfl: 0.852373 loss_bbox: 0.435772 loss_dfl: 0.393378 loss: 1.674396 eta: 5:23:35 batch_cost: 0.6091 data_cost: 0.0003 ips: 65.6759 images/s
[07/29 04:32:55] ppdet.engine INFO: Epoch: [272] [260/732] learning_rate: 0.016000 loss_vfl: 0.954979 loss_bbox: 0.463332 loss_dfl: 0.432731 loss: 1.840194 eta: 5:23:16 batch_cost: 0.6544 data_cost: 0.0003 ips: 61.1280 images/s
[07/29 04:33:10] ppdet.engine INFO: Epoch: [272] [280/732] learning_rate: 0.016000 loss_vfl: 0.901469 loss_bbox: 0.420078 loss_dfl: 0.402800 loss: 1.721437 eta: 5:22:56 batch_cost: 0.6016 data_cost: 0.0004 ips: 66.4863 images/s
[07/29 04:33:24] ppdet.engine INFO: Epoch: [272] [300/732] learning_rate: 0.016000 loss_vfl: 0.895560 loss_bbox: 0.452260 loss_dfl: 0.410543 loss: 1.755876 eta: 5:22:36 batch_cost: 0.5547 data_cost: 0.0003 ips: 72.1134 images/s
[07/29 04:33:38] ppdet.engine INFO: Epoch: [272] [320/732] learning_rate: 0.016000 loss_vfl: 0.902568 loss_bbox: 0.420708 loss_dfl: 0.399096 loss: 1.723892 eta: 5:22:16 batch_cost: 0.5837 data_cost: 0.0003 ips: 68.5273 images/s
[07/29 04:33:54] ppdet.engine INFO: Epoch: [272] [340/732] learning_rate: 0.016000 loss_vfl: 0.860603 loss_bbox: 0.430590 loss_dfl: 0.398507 loss: 1.677146 eta: 5:21:56 batch_cost: 0.6231 data_cost: 0.0003 ips: 64.1931 images/s
[07/29 04:34:09] ppdet.engine INFO: Epoch: [272] [360/732] learning_rate: 0.016000 loss_vfl: 0.898208 loss_bbox: 0.440958 loss_dfl: 0.411140 loss: 1.743955 eta: 5:21:36 batch_cost: 0.6008 data_cost: 0.0008 ips: 66.5782 images/s
[07/29 04:34:24] ppdet.engine INFO: Epoch: [272] [380/732] learning_rate: 0.016000 loss_vfl: 0.868846 loss_bbox: 0.416886 loss_dfl: 0.386427 loss: 1.676183 eta: 5:21:16 batch_cost: 0.6002 data_cost: 0.0013 ips: 66.6451 images/s
[07/29 04:34:39] ppdet.engine INFO: Epoch: [272] [400/732] learning_rate: 0.016000 loss_vfl: 0.901518 loss_bbox: 0.437963 loss_dfl: 0.407987 loss: 1.737701 eta: 5:20:56 batch_cost: 0.6233 data_cost: 0.0017 ips: 64.1708 images/s
[07/29 04:34:54] ppdet.engine INFO: Epoch: [272] [420/732] learning_rate: 0.016000 loss_vfl: 0.894504 loss_bbox: 0.438297 loss_dfl: 0.400862 loss: 1.753368 eta: 5:20:36 batch_cost: 0.5867 data_cost: 0.0003 ips: 68.1750 images/s
[07/29 04:35:10] ppdet.engine INFO: Epoch: [272] [440/732] learning_rate: 0.016000 loss_vfl: 0.866486 loss_bbox: 0.438207 loss_dfl: 0.380025 loss: 1.665212 eta: 5:20:17 batch_cost: 0.6740 data_cost: 0.0003 ips: 59.3479 images/s
[07/29 04:35:24] ppdet.engine INFO: Epoch: [272] [460/732] learning_rate: 0.016000 loss_vfl: 0.913586 loss_bbox: 0.455629 loss_dfl: 0.417678 loss: 1.788937 eta: 5:19:57 batch_cost: 0.6032 data_cost: 0.0036 ips: 66.3153 images/s
[07/29 04:35:40] ppdet.engine INFO: Epoch: [272] [480/732] learning_rate: 0.016000 loss_vfl: 0.921615 loss_bbox: 0.463975 loss_dfl: 0.411202 loss: 1.794546 eta: 5:19:37 batch_cost: 0.6041 data_cost: 0.0003 ips: 66.2120 images/s
[07/29 04:35:54] ppdet.engine INFO: Epoch: [272] [500/732] learning_rate: 0.016000 loss_vfl: 0.921372 loss_bbox: 0.434525 loss_dfl: 0.418317 loss: 1.795844 eta: 5:19:17 batch_cost: 0.5864 data_cost: 0.0003 ips: 68.2141 images/s
[07/29 04:36:10] ppdet.engine INFO: Epoch: [272] [520/732] learning_rate: 0.016000 loss_vfl: 0.845517 loss_bbox: 0.394295 loss_dfl: 0.381742 loss: 1.629875 eta: 5:18:57 batch_cost: 0.6134 data_cost: 0.0003 ips: 65.2144 images/s
[07/29 04:36:25] ppdet.engine INFO: Epoch: [272] [540/732] learning_rate: 0.016000 loss_vfl: 0.908713 loss_bbox: 0.420901 loss_dfl: 0.398401 loss: 1.712933 eta: 5:18:37 batch_cost: 0.6130 data_cost: 0.0003 ips: 65.2564 images/s
[07/29 04:36:40] ppdet.engine INFO: Epoch: [272] [560/732] learning_rate: 0.016000 loss_vfl: 0.855293 loss_bbox: 0.420015 loss_dfl: 0.392447 loss: 1.687521 eta: 5:18:18 batch_cost: 0.6241 data_cost: 0.0003 ips: 64.0943 images/s
[07/29 04:36:55] ppdet.engine INFO: Epoch: [272] [580/732] learning_rate: 0.016000 loss_vfl: 0.876603 loss_bbox: 0.408071 loss_dfl: 0.388918 loss: 1.689434 eta: 5:17:58 batch_cost: 0.6309 data_cost: 0.0003 ips: 63.4002 images/s
[07/29 04:37:10] ppdet.engine INFO: Epoch: [272] [600/732] learning_rate: 0.016000 loss_vfl: 0.915587 loss_bbox: 0.444755 loss_dfl: 0.412037 loss: 1.774431 eta: 5:17:38 batch_cost: 0.6041 data_cost: 0.0003 ips: 66.2140 images/s
[07/29 04:37:25] ppdet.engine INFO: Epoch: [272] [620/732] learning_rate: 0.016000 loss_vfl: 0.890004 loss_bbox: 0.430823 loss_dfl: 0.399341 loss: 1.739217 eta: 5:17:18 batch_cost: 0.6115 data_cost: 0.0028 ips: 65.4076 images/s
[07/29 04:37:40] ppdet.engine INFO: Epoch: [272] [640/732] learning_rate: 0.016000 loss_vfl: 0.868149 loss_bbox: 0.424572 loss_dfl: 0.394632 loss: 1.706927 eta: 5:16:58 batch_cost: 0.6049 data_cost: 0.0003 ips: 66.1304 images/s
[07/29 04:37:55] ppdet.engine INFO: Epoch: [272] [660/732] learning_rate: 0.016000 loss_vfl: 0.902788 loss_bbox: 0.431288 loss_dfl: 0.418819 loss: 1.764532 eta: 5:16:38 batch_cost: 0.6425 data_cost: 0.0014 ips: 62.2553 images/s
[07/29 04:38:10] ppdet.engine INFO: Epoch: [272] [680/732] learning_rate: 0.016000 loss_vfl: 0.929922 loss_bbox: 0.465324 loss_dfl: 0.416297 loss: 1.826407 eta: 5:16:19 batch_cost: 0.5899 data_cost: 0.0020 ips: 67.8043 images/s
[07/29 04:38:26] ppdet.engine INFO: Epoch: [272] [700/732] learning_rate: 0.016000 loss_vfl: 0.943877 loss_bbox: 0.456799 loss_dfl: 0.440010 loss: 1.857394 eta: 5:15:59 batch_cost: 0.6672 data_cost: 0.0010 ips: 59.9485 images/s
[07/29 04:38:41] ppdet.engine INFO: Epoch: [272] [720/732] learning_rate: 0.016000 loss_vfl: 0.842451 loss_bbox: 0.426484 loss_dfl: 0.386800 loss: 1.655870 eta: 5:15:39 batch_cost: 0.5962 data_cost: 0.0010 ips: 67.0863 images/s
[07/29 04:38:53] ppdet.engine INFO: Epoch: [273] [  0/732] learning_rate: 0.016000 loss_vfl: 0.931583 loss_bbox: 0.466611 loss_dfl: 0.441850 loss: 1.859774 eta: 5:15:27 batch_cost: 0.7406 data_cost: 0.1232 ips: 54.0129 images/s
[07/29 04:39:10] ppdet.engine INFO: Epoch: [273] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.913459 loss_bbox: 0.441465 loss_dfl: 0.411257 loss: 1.766102 eta: 5:15:08 batch_cost: 0.6688 data_cost: 0.0003 ips: 59.8045 images/s
[07/29 04:39:25] ppdet.engine INFO: Epoch: [273] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.894791 loss_bbox: 0.428487 loss_dfl: 0.397742 loss: 1.727174 eta: 5:14:48 batch_cost: 0.6299 data_cost: 0.0038 ips: 63.5027 images/s
[07/29 04:39:40] ppdet.engine INFO: Epoch: [273] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.885175 loss_bbox: 0.415925 loss_dfl: 0.408959 loss: 1.725069 eta: 5:14:28 batch_cost: 0.6328 data_cost: 0.0004 ips: 63.2110 images/s
[07/29 04:39:55] ppdet.engine INFO: Epoch: [273] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.924726 loss_bbox: 0.452535 loss_dfl: 0.421129 loss: 1.798994 eta: 5:14:08 batch_cost: 0.5958 data_cost: 0.0032 ips: 67.1414 images/s
[07/29 04:40:10] ppdet.engine INFO: Epoch: [273] [100/732] learning_rate: 0.016000 loss_vfl: 0.884943 loss_bbox: 0.430511 loss_dfl: 0.401406 loss: 1.706229 eta: 5:13:48 batch_cost: 0.5930 data_cost: 0.0010 ips: 67.4501 images/s
[07/29 04:40:24] ppdet.engine INFO: Epoch: [273] [120/732] learning_rate: 0.016000 loss_vfl: 0.904982 loss_bbox: 0.446627 loss_dfl: 0.412694 loss: 1.756223 eta: 5:13:28 batch_cost: 0.5919 data_cost: 0.0003 ips: 67.5762 images/s
[07/29 04:40:39] ppdet.engine INFO: Epoch: [273] [140/732] learning_rate: 0.016000 loss_vfl: 0.883994 loss_bbox: 0.438951 loss_dfl: 0.398624 loss: 1.724653 eta: 5:13:09 batch_cost: 0.6138 data_cost: 0.0003 ips: 65.1693 images/s
[07/29 04:40:55] ppdet.engine INFO: Epoch: [273] [160/732] learning_rate: 0.016000 loss_vfl: 0.848566 loss_bbox: 0.436467 loss_dfl: 0.405122 loss: 1.681620 eta: 5:12:49 batch_cost: 0.6324 data_cost: 0.0003 ips: 63.2518 images/s
[07/29 04:41:09] ppdet.engine INFO: Epoch: [273] [180/732] learning_rate: 0.016000 loss_vfl: 0.841887 loss_bbox: 0.396005 loss_dfl: 0.381331 loss: 1.614208 eta: 5:12:29 batch_cost: 0.5771 data_cost: 0.0003 ips: 69.3161 images/s
[07/29 04:41:23] ppdet.engine INFO: Epoch: [273] [200/732] learning_rate: 0.016000 loss_vfl: 0.865595 loss_bbox: 0.421666 loss_dfl: 0.395766 loss: 1.668488 eta: 5:12:09 batch_cost: 0.5490 data_cost: 0.0003 ips: 72.8541 images/s
[07/29 04:41:38] ppdet.engine INFO: Epoch: [273] [220/732] learning_rate: 0.016000 loss_vfl: 0.851168 loss_bbox: 0.419228 loss_dfl: 0.385257 loss: 1.647306 eta: 5:11:49 batch_cost: 0.6298 data_cost: 0.0003 ips: 63.5099 images/s
[07/29 04:41:53] ppdet.engine INFO: Epoch: [273] [240/732] learning_rate: 0.016000 loss_vfl: 0.892812 loss_bbox: 0.436838 loss_dfl: 0.410332 loss: 1.765833 eta: 5:11:29 batch_cost: 0.6057 data_cost: 0.0003 ips: 66.0380 images/s
[07/29 04:42:07] ppdet.engine INFO: Epoch: [273] [260/732] learning_rate: 0.016000 loss_vfl: 0.890333 loss_bbox: 0.446206 loss_dfl: 0.413042 loss: 1.761817 eta: 5:11:09 batch_cost: 0.5767 data_cost: 0.0003 ips: 69.3659 images/s
[07/29 04:42:21] ppdet.engine INFO: Epoch: [273] [280/732] learning_rate: 0.016000 loss_vfl: 0.929719 loss_bbox: 0.470860 loss_dfl: 0.442260 loss: 1.866246 eta: 5:10:50 batch_cost: 0.5769 data_cost: 0.0009 ips: 69.3322 images/s
[07/29 04:42:36] ppdet.engine INFO: Epoch: [273] [300/732] learning_rate: 0.016000 loss_vfl: 0.911463 loss_bbox: 0.447555 loss_dfl: 0.409257 loss: 1.783709 eta: 5:10:30 batch_cost: 0.5842 data_cost: 0.0008 ips: 68.4691 images/s
[07/29 04:42:52] ppdet.engine INFO: Epoch: [273] [320/732] learning_rate: 0.016000 loss_vfl: 0.873697 loss_bbox: 0.438622 loss_dfl: 0.410669 loss: 1.711707 eta: 5:10:10 batch_cost: 0.6790 data_cost: 0.0003 ips: 58.9082 images/s
[07/29 04:43:06] ppdet.engine INFO: Epoch: [273] [340/732] learning_rate: 0.016000 loss_vfl: 0.888599 loss_bbox: 0.438371 loss_dfl: 0.399837 loss: 1.743968 eta: 5:09:50 batch_cost: 0.5932 data_cost: 0.0003 ips: 67.4338 images/s
[07/29 04:43:20] ppdet.engine INFO: Epoch: [273] [360/732] learning_rate: 0.016000 loss_vfl: 0.851461 loss_bbox: 0.447744 loss_dfl: 0.392292 loss: 1.703882 eta: 5:09:30 batch_cost: 0.5717 data_cost: 0.0003 ips: 69.9629 images/s
[07/29 04:43:35] ppdet.engine INFO: Epoch: [273] [380/732] learning_rate: 0.016000 loss_vfl: 0.892044 loss_bbox: 0.410274 loss_dfl: 0.399955 loss: 1.712698 eta: 5:09:10 batch_cost: 0.6074 data_cost: 0.0003 ips: 65.8501 images/s
[07/29 04:43:51] ppdet.engine INFO: Epoch: [273] [400/732] learning_rate: 0.016000 loss_vfl: 0.939285 loss_bbox: 0.454006 loss_dfl: 0.426678 loss: 1.823754 eta: 5:08:51 batch_cost: 0.6685 data_cost: 0.0011 ips: 59.8358 images/s
[07/29 04:44:07] ppdet.engine INFO: Epoch: [273] [420/732] learning_rate: 0.016000 loss_vfl: 0.880505 loss_bbox: 0.448815 loss_dfl: 0.398273 loss: 1.708291 eta: 5:08:31 batch_cost: 0.6705 data_cost: 0.0003 ips: 59.6597 images/s
[07/29 04:44:22] ppdet.engine INFO: Epoch: [273] [440/732] learning_rate: 0.016000 loss_vfl: 0.872652 loss_bbox: 0.417098 loss_dfl: 0.402114 loss: 1.687232 eta: 5:08:11 batch_cost: 0.6628 data_cost: 0.0004 ips: 60.3497 images/s
[07/29 04:44:38] ppdet.engine INFO: Epoch: [273] [460/732] learning_rate: 0.016000 loss_vfl: 0.905283 loss_bbox: 0.455039 loss_dfl: 0.424287 loss: 1.800321 eta: 5:07:52 batch_cost: 0.6501 data_cost: 0.0010 ips: 61.5281 images/s
[07/29 04:44:52] ppdet.engine INFO: Epoch: [273] [480/732] learning_rate: 0.016000 loss_vfl: 0.942225 loss_bbox: 0.463392 loss_dfl: 0.434625 loss: 1.856145 eta: 5:07:32 batch_cost: 0.6092 data_cost: 0.0004 ips: 65.6553 images/s
[07/29 04:45:06] ppdet.engine INFO: Epoch: [273] [500/732] learning_rate: 0.016000 loss_vfl: 0.888985 loss_bbox: 0.427107 loss_dfl: 0.401280 loss: 1.704935 eta: 5:07:12 batch_cost: 0.5769 data_cost: 0.0004 ips: 69.3340 images/s
[07/29 04:45:22] ppdet.engine INFO: Epoch: [273] [520/732] learning_rate: 0.016000 loss_vfl: 0.890699 loss_bbox: 0.441809 loss_dfl: 0.401360 loss: 1.718739 eta: 5:06:52 batch_cost: 0.6536 data_cost: 0.0003 ips: 61.1952 images/s
[07/29 04:45:38] ppdet.engine INFO: Epoch: [273] [540/732] learning_rate: 0.016000 loss_vfl: 0.937214 loss_bbox: 0.434949 loss_dfl: 0.414159 loss: 1.778071 eta: 5:06:33 batch_cost: 0.6749 data_cost: 0.0003 ips: 59.2719 images/s
[07/29 04:45:54] ppdet.engine INFO: Epoch: [273] [560/732] learning_rate: 0.016000 loss_vfl: 0.907662 loss_bbox: 0.445010 loss_dfl: 0.399647 loss: 1.699420 eta: 5:06:13 batch_cost: 0.6680 data_cost: 0.0003 ips: 59.8827 images/s
[07/29 04:46:08] ppdet.engine INFO: Epoch: [273] [580/732] learning_rate: 0.016000 loss_vfl: 0.902369 loss_bbox: 0.447951 loss_dfl: 0.410023 loss: 1.771027 eta: 5:05:53 batch_cost: 0.5975 data_cost: 0.0013 ips: 66.9453 images/s
[07/29 04:46:22] ppdet.engine INFO: Epoch: [273] [600/732] learning_rate: 0.016000 loss_vfl: 0.887633 loss_bbox: 0.426118 loss_dfl: 0.403502 loss: 1.746487 eta: 5:05:33 batch_cost: 0.5747 data_cost: 0.0003 ips: 69.6032 images/s
[07/29 04:46:37] ppdet.engine INFO: Epoch: [273] [620/732] learning_rate: 0.016000 loss_vfl: 0.872679 loss_bbox: 0.448496 loss_dfl: 0.406511 loss: 1.717662 eta: 5:05:13 batch_cost: 0.5984 data_cost: 0.0019 ips: 66.8481 images/s
[07/29 04:46:51] ppdet.engine INFO: Epoch: [273] [640/732] learning_rate: 0.016000 loss_vfl: 0.871912 loss_bbox: 0.440924 loss_dfl: 0.399036 loss: 1.724232 eta: 5:04:53 batch_cost: 0.5956 data_cost: 0.0009 ips: 67.1555 images/s
[07/29 04:47:07] ppdet.engine INFO: Epoch: [273] [660/732] learning_rate: 0.016000 loss_vfl: 0.860078 loss_bbox: 0.423447 loss_dfl: 0.396783 loss: 1.677887 eta: 5:04:34 batch_cost: 0.6499 data_cost: 0.0003 ips: 61.5508 images/s
[07/29 04:47:22] ppdet.engine INFO: Epoch: [273] [680/732] learning_rate: 0.016000 loss_vfl: 0.939497 loss_bbox: 0.439450 loss_dfl: 0.413177 loss: 1.793369 eta: 5:04:14 batch_cost: 0.6377 data_cost: 0.0009 ips: 62.7228 images/s
[07/29 04:47:36] ppdet.engine INFO: Epoch: [273] [700/732] learning_rate: 0.016000 loss_vfl: 0.894892 loss_bbox: 0.441565 loss_dfl: 0.410790 loss: 1.755854 eta: 5:03:54 batch_cost: 0.5475 data_cost: 0.0003 ips: 73.0553 images/s
[07/29 04:47:51] ppdet.engine INFO: Epoch: [273] [720/732] learning_rate: 0.016000 loss_vfl: 0.912720 loss_bbox: 0.436965 loss_dfl: 0.410198 loss: 1.758763 eta: 5:03:34 batch_cost: 0.5988 data_cost: 0.0003 ips: 66.7998 images/s
[07/29 04:48:05] ppdet.engine INFO: Epoch: [274] [  0/732] learning_rate: 0.016000 loss_vfl: 0.874771 loss_bbox: 0.432367 loss_dfl: 0.402376 loss: 1.689353 eta: 5:03:23 batch_cost: 0.8041 data_cost: 0.2553 ips: 49.7422 images/s
[07/29 04:48:23] ppdet.engine INFO: Epoch: [274] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.882002 loss_bbox: 0.432101 loss_dfl: 0.397253 loss: 1.706955 eta: 5:03:03 batch_cost: 0.7390 data_cost: 0.0003 ips: 54.1244 images/s
[07/29 04:48:39] ppdet.engine INFO: Epoch: [274] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.910068 loss_bbox: 0.448079 loss_dfl: 0.426574 loss: 1.793595 eta: 5:02:44 batch_cost: 0.6833 data_cost: 0.0003 ips: 58.5398 images/s
[07/29 04:48:54] ppdet.engine INFO: Epoch: [274] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.867833 loss_bbox: 0.441725 loss_dfl: 0.401185 loss: 1.732984 eta: 5:02:24 batch_cost: 0.6096 data_cost: 0.0007 ips: 65.6166 images/s
[07/29 04:49:09] ppdet.engine INFO: Epoch: [274] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.832997 loss_bbox: 0.401878 loss_dfl: 0.380097 loss: 1.596460 eta: 5:02:04 batch_cost: 0.5965 data_cost: 0.0003 ips: 67.0596 images/s
[07/29 04:49:24] ppdet.engine INFO: Epoch: [274] [100/732] learning_rate: 0.016000 loss_vfl: 0.901965 loss_bbox: 0.447950 loss_dfl: 0.416574 loss: 1.777602 eta: 5:01:44 batch_cost: 0.6451 data_cost: 0.0010 ips: 62.0067 images/s
[07/29 04:49:40] ppdet.engine INFO: Epoch: [274] [120/732] learning_rate: 0.016000 loss_vfl: 0.872909 loss_bbox: 0.425376 loss_dfl: 0.400623 loss: 1.699472 eta: 5:01:25 batch_cost: 0.6260 data_cost: 0.0003 ips: 63.8999 images/s
[07/29 04:49:55] ppdet.engine INFO: Epoch: [274] [140/732] learning_rate: 0.016000 loss_vfl: 0.846848 loss_bbox: 0.414255 loss_dfl: 0.385388 loss: 1.647447 eta: 5:01:05 batch_cost: 0.6281 data_cost: 0.0003 ips: 63.6815 images/s
[07/29 04:50:11] ppdet.engine INFO: Epoch: [274] [160/732] learning_rate: 0.016000 loss_vfl: 0.934080 loss_bbox: 0.452239 loss_dfl: 0.420681 loss: 1.793644 eta: 5:00:45 batch_cost: 0.6519 data_cost: 0.0003 ips: 61.3563 images/s
[07/29 04:50:27] ppdet.engine INFO: Epoch: [274] [180/732] learning_rate: 0.016000 loss_vfl: 0.959563 loss_bbox: 0.491626 loss_dfl: 0.432369 loss: 1.864430 eta: 5:00:26 batch_cost: 0.6747 data_cost: 0.0009 ips: 59.2896 images/s
[07/29 04:50:42] ppdet.engine INFO: Epoch: [274] [200/732] learning_rate: 0.016000 loss_vfl: 0.882307 loss_bbox: 0.453904 loss_dfl: 0.407260 loss: 1.743135 eta: 5:00:06 batch_cost: 0.6076 data_cost: 0.0005 ips: 65.8280 images/s
[07/29 04:50:57] ppdet.engine INFO: Epoch: [274] [220/732] learning_rate: 0.016000 loss_vfl: 0.909156 loss_bbox: 0.467661 loss_dfl: 0.423192 loss: 1.812122 eta: 4:59:46 batch_cost: 0.6340 data_cost: 0.0023 ips: 63.0886 images/s
[07/29 04:51:13] ppdet.engine INFO: Epoch: [274] [240/732] learning_rate: 0.016000 loss_vfl: 0.896861 loss_bbox: 0.426742 loss_dfl: 0.403656 loss: 1.702440 eta: 4:59:26 batch_cost: 0.6445 data_cost: 0.0010 ips: 62.0677 images/s
[07/29 04:51:28] ppdet.engine INFO: Epoch: [274] [260/732] learning_rate: 0.016000 loss_vfl: 0.886926 loss_bbox: 0.440218 loss_dfl: 0.401528 loss: 1.714094 eta: 4:59:07 batch_cost: 0.6210 data_cost: 0.0003 ips: 64.4089 images/s
[07/29 04:51:42] ppdet.engine INFO: Epoch: [274] [280/732] learning_rate: 0.016000 loss_vfl: 0.886455 loss_bbox: 0.453336 loss_dfl: 0.410495 loss: 1.741278 eta: 4:58:47 batch_cost: 0.5361 data_cost: 0.0010 ips: 74.6126 images/s
[07/29 04:51:57] ppdet.engine INFO: Epoch: [274] [300/732] learning_rate: 0.016000 loss_vfl: 0.841360 loss_bbox: 0.420950 loss_dfl: 0.394655 loss: 1.669367 eta: 4:58:27 batch_cost: 0.6478 data_cost: 0.0003 ips: 61.7494 images/s
[07/29 04:52:12] ppdet.engine INFO: Epoch: [274] [320/732] learning_rate: 0.016000 loss_vfl: 0.904617 loss_bbox: 0.442243 loss_dfl: 0.411612 loss: 1.755713 eta: 4:58:07 batch_cost: 0.6042 data_cost: 0.0009 ips: 66.2050 images/s
[07/29 04:52:27] ppdet.engine INFO: Epoch: [274] [340/732] learning_rate: 0.016000 loss_vfl: 0.903654 loss_bbox: 0.433082 loss_dfl: 0.404121 loss: 1.700644 eta: 4:57:47 batch_cost: 0.5830 data_cost: 0.0003 ips: 68.6105 images/s
[07/29 04:52:42] ppdet.engine INFO: Epoch: [274] [360/732] learning_rate: 0.016000 loss_vfl: 0.848642 loss_bbox: 0.424975 loss_dfl: 0.393199 loss: 1.665167 eta: 4:57:28 batch_cost: 0.6513 data_cost: 0.0003 ips: 61.4113 images/s
[07/29 04:52:57] ppdet.engine INFO: Epoch: [274] [380/732] learning_rate: 0.016000 loss_vfl: 0.930957 loss_bbox: 0.473831 loss_dfl: 0.433992 loss: 1.812215 eta: 4:57:08 batch_cost: 0.6135 data_cost: 0.0076 ips: 65.2046 images/s
[07/29 04:53:13] ppdet.engine INFO: Epoch: [274] [400/732] learning_rate: 0.016000 loss_vfl: 0.852992 loss_bbox: 0.447773 loss_dfl: 0.405269 loss: 1.700346 eta: 4:56:48 batch_cost: 0.6348 data_cost: 0.0003 ips: 63.0149 images/s
[07/29 04:53:29] ppdet.engine INFO: Epoch: [274] [420/732] learning_rate: 0.016000 loss_vfl: 0.927786 loss_bbox: 0.450065 loss_dfl: 0.411255 loss: 1.778201 eta: 4:56:29 batch_cost: 0.6733 data_cost: 0.0004 ips: 59.4058 images/s
[07/29 04:53:45] ppdet.engine INFO: Epoch: [274] [440/732] learning_rate: 0.016000 loss_vfl: 0.899257 loss_bbox: 0.459230 loss_dfl: 0.416843 loss: 1.756900 eta: 4:56:09 batch_cost: 0.6762 data_cost: 0.0003 ips: 59.1563 images/s
[07/29 04:54:00] ppdet.engine INFO: Epoch: [274] [460/732] learning_rate: 0.016000 loss_vfl: 0.880733 loss_bbox: 0.413246 loss_dfl: 0.403392 loss: 1.718871 eta: 4:55:49 batch_cost: 0.6154 data_cost: 0.0003 ips: 64.9931 images/s
[07/29 04:54:16] ppdet.engine INFO: Epoch: [274] [480/732] learning_rate: 0.016000 loss_vfl: 0.857932 loss_bbox: 0.406805 loss_dfl: 0.384649 loss: 1.660608 eta: 4:55:30 batch_cost: 0.6523 data_cost: 0.0009 ips: 61.3204 images/s
[07/29 04:54:32] ppdet.engine INFO: Epoch: [274] [500/732] learning_rate: 0.016000 loss_vfl: 0.910447 loss_bbox: 0.417946 loss_dfl: 0.407850 loss: 1.761918 eta: 4:55:10 batch_cost: 0.6779 data_cost: 0.0015 ips: 59.0019 images/s
[07/29 04:54:47] ppdet.engine INFO: Epoch: [274] [520/732] learning_rate: 0.016000 loss_vfl: 0.863161 loss_bbox: 0.413163 loss_dfl: 0.394432 loss: 1.704394 eta: 4:54:50 batch_cost: 0.6280 data_cost: 0.0003 ips: 63.6896 images/s
[07/29 04:55:03] ppdet.engine INFO: Epoch: [274] [540/732] learning_rate: 0.016000 loss_vfl: 0.902182 loss_bbox: 0.440382 loss_dfl: 0.408081 loss: 1.751452 eta: 4:54:31 batch_cost: 0.6800 data_cost: 0.0006 ips: 58.8237 images/s
[07/29 04:55:18] ppdet.engine INFO: Epoch: [274] [560/732] learning_rate: 0.016000 loss_vfl: 0.860088 loss_bbox: 0.441921 loss_dfl: 0.391429 loss: 1.687093 eta: 4:54:11 batch_cost: 0.6017 data_cost: 0.0003 ips: 66.4801 images/s
[07/29 04:55:34] ppdet.engine INFO: Epoch: [274] [580/732] learning_rate: 0.016000 loss_vfl: 0.871895 loss_bbox: 0.429741 loss_dfl: 0.394387 loss: 1.692370 eta: 4:53:51 batch_cost: 0.6720 data_cost: 0.0004 ips: 59.5282 images/s
[07/29 04:55:49] ppdet.engine INFO: Epoch: [274] [600/732] learning_rate: 0.016000 loss_vfl: 0.940129 loss_bbox: 0.451982 loss_dfl: 0.419542 loss: 1.829547 eta: 4:53:31 batch_cost: 0.6351 data_cost: 0.0003 ips: 62.9842 images/s
[07/29 04:56:04] ppdet.engine INFO: Epoch: [274] [620/732] learning_rate: 0.016000 loss_vfl: 0.880424 loss_bbox: 0.432526 loss_dfl: 0.404231 loss: 1.728612 eta: 4:53:12 batch_cost: 0.6162 data_cost: 0.0003 ips: 64.9181 images/s
[07/29 04:56:21] ppdet.engine INFO: Epoch: [274] [640/732] learning_rate: 0.016000 loss_vfl: 0.904023 loss_bbox: 0.447946 loss_dfl: 0.420499 loss: 1.779995 eta: 4:52:52 batch_cost: 0.7019 data_cost: 0.0003 ips: 56.9893 images/s
[07/29 04:56:36] ppdet.engine INFO: Epoch: [274] [660/732] learning_rate: 0.016000 loss_vfl: 0.910673 loss_bbox: 0.438837 loss_dfl: 0.406861 loss: 1.759140 eta: 4:52:32 batch_cost: 0.6212 data_cost: 0.0010 ips: 64.3870 images/s
[07/29 04:56:52] ppdet.engine INFO: Epoch: [274] [680/732] learning_rate: 0.016000 loss_vfl: 0.909469 loss_bbox: 0.440280 loss_dfl: 0.415738 loss: 1.768595 eta: 4:52:13 batch_cost: 0.6512 data_cost: 0.0012 ips: 61.4229 images/s
[07/29 04:57:08] ppdet.engine INFO: Epoch: [274] [700/732] learning_rate: 0.016000 loss_vfl: 0.856636 loss_bbox: 0.438642 loss_dfl: 0.392802 loss: 1.678729 eta: 4:51:53 batch_cost: 0.6385 data_cost: 0.0003 ips: 62.6446 images/s
[07/29 04:57:24] ppdet.engine INFO: Epoch: [274] [720/732] learning_rate: 0.016000 loss_vfl: 0.893865 loss_bbox: 0.438138 loss_dfl: 0.406672 loss: 1.745659 eta: 4:51:33 batch_cost: 0.6062 data_cost: 0.0005 ips: 65.9869 images/s
[07/29 04:57:35] ppdet.engine INFO: Epoch: [275] [  0/732] learning_rate: 0.016000 loss_vfl: 0.872764 loss_bbox: 0.430685 loss_dfl: 0.407825 loss: 1.715903 eta: 4:51:22 batch_cost: 0.6770 data_cost: 0.1151 ips: 59.0809 images/s
[07/29 04:57:54] ppdet.engine INFO: Epoch: [275] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.848911 loss_bbox: 0.421793 loss_dfl: 0.383061 loss: 1.650218 eta: 4:51:02 batch_cost: 0.7919 data_cost: 0.0003 ips: 50.5125 images/s
[07/29 04:58:09] ppdet.engine INFO: Epoch: [275] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.877781 loss_bbox: 0.432346 loss_dfl: 0.403135 loss: 1.705258 eta: 4:50:43 batch_cost: 0.6276 data_cost: 0.0009 ips: 63.7329 images/s
[07/29 04:58:24] ppdet.engine INFO: Epoch: [275] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.852544 loss_bbox: 0.422649 loss_dfl: 0.388228 loss: 1.673541 eta: 4:50:23 batch_cost: 0.6093 data_cost: 0.0003 ips: 65.6535 images/s
[07/29 04:58:39] ppdet.engine INFO: Epoch: [275] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.880185 loss_bbox: 0.410051 loss_dfl: 0.392496 loss: 1.688232 eta: 4:50:03 batch_cost: 0.5826 data_cost: 0.0009 ips: 68.6615 images/s
[07/29 04:58:54] ppdet.engine INFO: Epoch: [275] [100/732] learning_rate: 0.016000 loss_vfl: 0.897258 loss_bbox: 0.434028 loss_dfl: 0.400827 loss: 1.757050 eta: 4:49:43 batch_cost: 0.6117 data_cost: 0.0012 ips: 65.3944 images/s
[07/29 04:59:08] ppdet.engine INFO: Epoch: [275] [120/732] learning_rate: 0.016000 loss_vfl: 0.885737 loss_bbox: 0.441113 loss_dfl: 0.403215 loss: 1.726065 eta: 4:49:24 batch_cost: 0.6130 data_cost: 0.0010 ips: 65.2537 images/s
[07/29 04:59:25] ppdet.engine INFO: Epoch: [275] [140/732] learning_rate: 0.016000 loss_vfl: 0.876506 loss_bbox: 0.427112 loss_dfl: 0.393368 loss: 1.670311 eta: 4:49:04 batch_cost: 0.6747 data_cost: 0.0003 ips: 59.2871 images/s
[07/29 04:59:40] ppdet.engine INFO: Epoch: [275] [160/732] learning_rate: 0.016000 loss_vfl: 0.827848 loss_bbox: 0.406661 loss_dfl: 0.372276 loss: 1.598130 eta: 4:48:44 batch_cost: 0.5987 data_cost: 0.0003 ips: 66.8156 images/s
[07/29 04:59:53] ppdet.engine INFO: Epoch: [275] [180/732] learning_rate: 0.016000 loss_vfl: 0.845999 loss_bbox: 0.420730 loss_dfl: 0.378129 loss: 1.646180 eta: 4:48:24 batch_cost: 0.5692 data_cost: 0.0003 ips: 70.2753 images/s
[07/29 05:00:09] ppdet.engine INFO: Epoch: [275] [200/732] learning_rate: 0.016000 loss_vfl: 0.924130 loss_bbox: 0.445494 loss_dfl: 0.424915 loss: 1.811679 eta: 4:48:05 batch_cost: 0.6511 data_cost: 0.0003 ips: 61.4368 images/s
[07/29 05:00:25] ppdet.engine INFO: Epoch: [275] [220/732] learning_rate: 0.016000 loss_vfl: 0.893585 loss_bbox: 0.419090 loss_dfl: 0.394230 loss: 1.694611 eta: 4:47:45 batch_cost: 0.6591 data_cost: 0.0014 ips: 60.6915 images/s
[07/29 05:00:41] ppdet.engine INFO: Epoch: [275] [240/732] learning_rate: 0.016000 loss_vfl: 0.873332 loss_bbox: 0.431547 loss_dfl: 0.407056 loss: 1.715697 eta: 4:47:26 batch_cost: 0.6427 data_cost: 0.0003 ips: 62.2327 images/s
[07/29 05:00:56] ppdet.engine INFO: Epoch: [275] [260/732] learning_rate: 0.016000 loss_vfl: 0.847719 loss_bbox: 0.402387 loss_dfl: 0.376070 loss: 1.628349 eta: 4:47:06 batch_cost: 0.6378 data_cost: 0.0012 ips: 62.7133 images/s
[07/29 05:01:11] ppdet.engine INFO: Epoch: [275] [280/732] learning_rate: 0.016000 loss_vfl: 0.880130 loss_bbox: 0.449261 loss_dfl: 0.397979 loss: 1.721842 eta: 4:46:46 batch_cost: 0.6110 data_cost: 0.0019 ips: 65.4712 images/s
[07/29 05:01:27] ppdet.engine INFO: Epoch: [275] [300/732] learning_rate: 0.016000 loss_vfl: 0.894285 loss_bbox: 0.456705 loss_dfl: 0.419135 loss: 1.772296 eta: 4:46:26 batch_cost: 0.6403 data_cost: 0.0003 ips: 62.4701 images/s
[07/29 05:01:42] ppdet.engine INFO: Epoch: [275] [320/732] learning_rate: 0.016000 loss_vfl: 0.872148 loss_bbox: 0.414704 loss_dfl: 0.390358 loss: 1.668319 eta: 4:46:07 batch_cost: 0.5833 data_cost: 0.0004 ips: 68.5730 images/s
[07/29 05:01:57] ppdet.engine INFO: Epoch: [275] [340/732] learning_rate: 0.016000 loss_vfl: 0.895208 loss_bbox: 0.413144 loss_dfl: 0.391605 loss: 1.675541 eta: 4:45:47 batch_cost: 0.5978 data_cost: 0.0004 ips: 66.9077 images/s
[07/29 05:02:11] ppdet.engine INFO: Epoch: [275] [360/732] learning_rate: 0.016000 loss_vfl: 0.894491 loss_bbox: 0.440088 loss_dfl: 0.406402 loss: 1.742817 eta: 4:45:27 batch_cost: 0.5949 data_cost: 0.0012 ips: 67.2427 images/s
[07/29 05:02:26] ppdet.engine INFO: Epoch: [275] [380/732] learning_rate: 0.016000 loss_vfl: 0.853127 loss_bbox: 0.427213 loss_dfl: 0.391220 loss: 1.676493 eta: 4:45:08 batch_cost: 0.6304 data_cost: 0.0003 ips: 63.4553 images/s
[07/29 05:02:43] ppdet.engine INFO: Epoch: [275] [400/732] learning_rate: 0.016000 loss_vfl: 0.931090 loss_bbox: 0.442883 loss_dfl: 0.416678 loss: 1.795555 eta: 4:44:48 batch_cost: 0.6911 data_cost: 0.0003 ips: 57.8747 images/s
[07/29 05:02:57] ppdet.engine INFO: Epoch: [275] [420/732] learning_rate: 0.016000 loss_vfl: 0.946925 loss_bbox: 0.460477 loss_dfl: 0.416576 loss: 1.827301 eta: 4:44:28 batch_cost: 0.5726 data_cost: 0.0004 ips: 69.8536 images/s
[07/29 05:03:13] ppdet.engine INFO: Epoch: [275] [440/732] learning_rate: 0.016000 loss_vfl: 0.895196 loss_bbox: 0.439173 loss_dfl: 0.407649 loss: 1.752699 eta: 4:44:09 batch_cost: 0.6467 data_cost: 0.0004 ips: 61.8482 images/s
[07/29 05:03:29] ppdet.engine INFO: Epoch: [275] [460/732] learning_rate: 0.016000 loss_vfl: 0.882856 loss_bbox: 0.439862 loss_dfl: 0.405592 loss: 1.737698 eta: 4:43:49 batch_cost: 0.6364 data_cost: 0.0003 ips: 62.8561 images/s
[07/29 05:03:43] ppdet.engine INFO: Epoch: [275] [480/732] learning_rate: 0.016000 loss_vfl: 0.887793 loss_bbox: 0.446954 loss_dfl: 0.413247 loss: 1.746007 eta: 4:43:29 batch_cost: 0.6156 data_cost: 0.0003 ips: 64.9749 images/s
[07/29 05:03:58] ppdet.engine INFO: Epoch: [275] [500/732] learning_rate: 0.016000 loss_vfl: 0.886561 loss_bbox: 0.430442 loss_dfl: 0.404477 loss: 1.701753 eta: 4:43:10 batch_cost: 0.5823 data_cost: 0.0007 ips: 68.6907 images/s
[07/29 05:04:14] ppdet.engine INFO: Epoch: [275] [520/732] learning_rate: 0.016000 loss_vfl: 0.889971 loss_bbox: 0.435138 loss_dfl: 0.406235 loss: 1.733028 eta: 4:42:50 batch_cost: 0.6570 data_cost: 0.0009 ips: 60.8826 images/s
[07/29 05:04:29] ppdet.engine INFO: Epoch: [275] [540/732] learning_rate: 0.016000 loss_vfl: 0.966581 loss_bbox: 0.465149 loss_dfl: 0.429670 loss: 1.852088 eta: 4:42:30 batch_cost: 0.6334 data_cost: 0.0010 ips: 63.1464 images/s
[07/29 05:04:45] ppdet.engine INFO: Epoch: [275] [560/732] learning_rate: 0.016000 loss_vfl: 0.842945 loss_bbox: 0.407316 loss_dfl: 0.387240 loss: 1.651412 eta: 4:42:11 batch_cost: 0.6889 data_cost: 0.0003 ips: 58.0642 images/s
[07/29 05:05:00] ppdet.engine INFO: Epoch: [275] [580/732] learning_rate: 0.016000 loss_vfl: 0.893134 loss_bbox: 0.430863 loss_dfl: 0.409220 loss: 1.739414 eta: 4:41:51 batch_cost: 0.5921 data_cost: 0.0026 ips: 67.5550 images/s
[07/29 05:05:16] ppdet.engine INFO: Epoch: [275] [600/732] learning_rate: 0.016000 loss_vfl: 0.892325 loss_bbox: 0.436132 loss_dfl: 0.402346 loss: 1.724060 eta: 4:41:31 batch_cost: 0.6586 data_cost: 0.0006 ips: 60.7335 images/s
[07/29 05:05:31] ppdet.engine INFO: Epoch: [275] [620/732] learning_rate: 0.016000 loss_vfl: 0.948558 loss_bbox: 0.472522 loss_dfl: 0.438694 loss: 1.852466 eta: 4:41:12 batch_cost: 0.6551 data_cost: 0.0003 ips: 61.0601 images/s
[07/29 05:05:47] ppdet.engine INFO: Epoch: [275] [640/732] learning_rate: 0.016000 loss_vfl: 0.946929 loss_bbox: 0.461726 loss_dfl: 0.427015 loss: 1.852768 eta: 4:40:52 batch_cost: 0.6207 data_cost: 0.0003 ips: 64.4441 images/s
[07/29 05:06:02] ppdet.engine INFO: Epoch: [275] [660/732] learning_rate: 0.016000 loss_vfl: 0.874447 loss_bbox: 0.407654 loss_dfl: 0.393393 loss: 1.657237 eta: 4:40:32 batch_cost: 0.6321 data_cost: 0.0003 ips: 63.2783 images/s
[07/29 05:06:17] ppdet.engine INFO: Epoch: [275] [680/732] learning_rate: 0.016000 loss_vfl: 0.864368 loss_bbox: 0.422725 loss_dfl: 0.383212 loss: 1.679943 eta: 4:40:13 batch_cost: 0.5967 data_cost: 0.0004 ips: 67.0379 images/s
[07/29 05:06:32] ppdet.engine INFO: Epoch: [275] [700/732] learning_rate: 0.016000 loss_vfl: 0.863487 loss_bbox: 0.428845 loss_dfl: 0.390783 loss: 1.664082 eta: 4:39:53 batch_cost: 0.6258 data_cost: 0.0008 ips: 63.9229 images/s
[07/29 05:06:48] ppdet.engine INFO: Epoch: [275] [720/732] learning_rate: 0.016000 loss_vfl: 0.869669 loss_bbox: 0.412179 loss_dfl: 0.383087 loss: 1.663387 eta: 4:39:33 batch_cost: 0.6515 data_cost: 0.0004 ips: 61.3940 images/s
[07/29 05:07:04] ppdet.engine INFO: Epoch: [276] [  0/732] learning_rate: 0.016000 loss_vfl: 0.899072 loss_bbox: 0.443770 loss_dfl: 0.406171 loss: 1.757690 eta: 4:39:22 batch_cost: 0.8986 data_cost: 0.2427 ips: 44.5129 images/s
[07/29 05:07:20] ppdet.engine INFO: Epoch: [276] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.906208 loss_bbox: 0.436819 loss_dfl: 0.405918 loss: 1.763594 eta: 4:39:03 batch_cost: 0.6626 data_cost: 0.0010 ips: 60.3701 images/s
[07/29 05:07:34] ppdet.engine INFO: Epoch: [276] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.900851 loss_bbox: 0.428782 loss_dfl: 0.388918 loss: 1.712905 eta: 4:38:43 batch_cost: 0.5966 data_cost: 0.0061 ips: 67.0454 images/s
[07/29 05:07:50] ppdet.engine INFO: Epoch: [276] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.893072 loss_bbox: 0.420053 loss_dfl: 0.404570 loss: 1.738913 eta: 4:38:23 batch_cost: 0.6566 data_cost: 0.0003 ips: 60.9217 images/s
[07/29 05:08:05] ppdet.engine INFO: Epoch: [276] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.882563 loss_bbox: 0.429051 loss_dfl: 0.402703 loss: 1.725549 eta: 4:38:04 batch_cost: 0.6204 data_cost: 0.0011 ips: 64.4706 images/s
[07/29 05:08:20] ppdet.engine INFO: Epoch: [276] [100/732] learning_rate: 0.016000 loss_vfl: 0.924647 loss_bbox: 0.446947 loss_dfl: 0.421198 loss: 1.769600 eta: 4:37:44 batch_cost: 0.6381 data_cost: 0.0046 ips: 62.6906 images/s
[07/29 05:08:36] ppdet.engine INFO: Epoch: [276] [120/732] learning_rate: 0.016000 loss_vfl: 0.898360 loss_bbox: 0.442546 loss_dfl: 0.402452 loss: 1.749509 eta: 4:37:24 batch_cost: 0.6625 data_cost: 0.0013 ips: 60.3770 images/s
[07/29 05:08:50] ppdet.engine INFO: Epoch: [276] [140/732] learning_rate: 0.016000 loss_vfl: 0.886849 loss_bbox: 0.434151 loss_dfl: 0.413818 loss: 1.737974 eta: 4:37:05 batch_cost: 0.5954 data_cost: 0.0003 ips: 67.1801 images/s
[07/29 05:09:05] ppdet.engine INFO: Epoch: [276] [160/732] learning_rate: 0.016000 loss_vfl: 0.896569 loss_bbox: 0.429806 loss_dfl: 0.408561 loss: 1.683717 eta: 4:36:45 batch_cost: 0.6379 data_cost: 0.0008 ips: 62.7043 images/s
[07/29 05:09:21] ppdet.engine INFO: Epoch: [276] [180/732] learning_rate: 0.016000 loss_vfl: 0.916139 loss_bbox: 0.435603 loss_dfl: 0.411140 loss: 1.769168 eta: 4:36:25 batch_cost: 0.6558 data_cost: 0.0003 ips: 60.9896 images/s
[07/29 05:09:36] ppdet.engine INFO: Epoch: [276] [200/732] learning_rate: 0.016000 loss_vfl: 0.888935 loss_bbox: 0.436232 loss_dfl: 0.400139 loss: 1.726892 eta: 4:36:06 batch_cost: 0.6221 data_cost: 0.0015 ips: 64.2991 images/s
[07/29 05:09:51] ppdet.engine INFO: Epoch: [276] [220/732] learning_rate: 0.016000 loss_vfl: 0.889077 loss_bbox: 0.442384 loss_dfl: 0.403824 loss: 1.737622 eta: 4:35:46 batch_cost: 0.6454 data_cost: 0.0018 ips: 61.9733 images/s
[07/29 05:10:05] ppdet.engine INFO: Epoch: [276] [240/732] learning_rate: 0.016000 loss_vfl: 0.864698 loss_bbox: 0.439040 loss_dfl: 0.395123 loss: 1.724353 eta: 4:35:26 batch_cost: 0.5706 data_cost: 0.0003 ips: 70.1063 images/s
[07/29 05:10:20] ppdet.engine INFO: Epoch: [276] [260/732] learning_rate: 0.016000 loss_vfl: 0.870903 loss_bbox: 0.420519 loss_dfl: 0.393587 loss: 1.688914 eta: 4:35:07 batch_cost: 0.6288 data_cost: 0.0003 ips: 63.6119 images/s
[07/29 05:10:35] ppdet.engine INFO: Epoch: [276] [280/732] learning_rate: 0.016000 loss_vfl: 0.872374 loss_bbox: 0.430537 loss_dfl: 0.404794 loss: 1.716821 eta: 4:34:47 batch_cost: 0.6069 data_cost: 0.0003 ips: 65.9088 images/s
[07/29 05:10:50] ppdet.engine INFO: Epoch: [276] [300/732] learning_rate: 0.016000 loss_vfl: 0.874424 loss_bbox: 0.432404 loss_dfl: 0.403662 loss: 1.719400 eta: 4:34:27 batch_cost: 0.5769 data_cost: 0.0015 ips: 69.3302 images/s
[07/29 05:11:05] ppdet.engine INFO: Epoch: [276] [320/732] learning_rate: 0.016000 loss_vfl: 0.911604 loss_bbox: 0.464303 loss_dfl: 0.419570 loss: 1.778549 eta: 4:34:08 batch_cost: 0.6040 data_cost: 0.0003 ips: 66.2245 images/s
[07/29 05:11:20] ppdet.engine INFO: Epoch: [276] [340/732] learning_rate: 0.016000 loss_vfl: 0.907102 loss_bbox: 0.440500 loss_dfl: 0.404313 loss: 1.753825 eta: 4:33:48 batch_cost: 0.5953 data_cost: 0.0013 ips: 67.1956 images/s
[07/29 05:11:34] ppdet.engine INFO: Epoch: [276] [360/732] learning_rate: 0.016000 loss_vfl: 0.883988 loss_bbox: 0.447133 loss_dfl: 0.401634 loss: 1.724101 eta: 4:33:28 batch_cost: 0.5912 data_cost: 0.0003 ips: 67.6639 images/s
[07/29 05:11:50] ppdet.engine INFO: Epoch: [276] [380/732] learning_rate: 0.016000 loss_vfl: 0.869075 loss_bbox: 0.415829 loss_dfl: 0.382107 loss: 1.656037 eta: 4:33:09 batch_cost: 0.6288 data_cost: 0.0007 ips: 63.6167 images/s
[07/29 05:12:06] ppdet.engine INFO: Epoch: [276] [400/732] learning_rate: 0.016000 loss_vfl: 0.921562 loss_bbox: 0.427728 loss_dfl: 0.397081 loss: 1.749188 eta: 4:32:49 batch_cost: 0.6321 data_cost: 0.0003 ips: 63.2780 images/s
[07/29 05:12:21] ppdet.engine INFO: Epoch: [276] [420/732] learning_rate: 0.016000 loss_vfl: 0.873222 loss_bbox: 0.417348 loss_dfl: 0.397877 loss: 1.683729 eta: 4:32:30 batch_cost: 0.6257 data_cost: 0.0010 ips: 63.9316 images/s
[07/29 05:12:36] ppdet.engine INFO: Epoch: [276] [440/732] learning_rate: 0.016000 loss_vfl: 0.919834 loss_bbox: 0.448064 loss_dfl: 0.417062 loss: 1.783477 eta: 4:32:10 batch_cost: 0.6606 data_cost: 0.0008 ips: 60.5515 images/s
[07/29 05:12:50] ppdet.engine INFO: Epoch: [276] [460/732] learning_rate: 0.016000 loss_vfl: 0.855037 loss_bbox: 0.408531 loss_dfl: 0.386150 loss: 1.659891 eta: 4:31:50 batch_cost: 0.5834 data_cost: 0.0017 ips: 68.5585 images/s
[07/29 05:13:06] ppdet.engine INFO: Epoch: [276] [480/732] learning_rate: 0.016000 loss_vfl: 0.865061 loss_bbox: 0.405733 loss_dfl: 0.388625 loss: 1.661165 eta: 4:31:31 batch_cost: 0.6432 data_cost: 0.0009 ips: 62.1869 images/s
[07/29 05:13:20] ppdet.engine INFO: Epoch: [276] [500/732] learning_rate: 0.016000 loss_vfl: 0.865505 loss_bbox: 0.411034 loss_dfl: 0.390024 loss: 1.664599 eta: 4:31:11 batch_cost: 0.5616 data_cost: 0.0010 ips: 71.2224 images/s
[07/29 05:13:35] ppdet.engine INFO: Epoch: [276] [520/732] learning_rate: 0.016000 loss_vfl: 0.911341 loss_bbox: 0.452504 loss_dfl: 0.418492 loss: 1.786534 eta: 4:30:51 batch_cost: 0.5941 data_cost: 0.0003 ips: 67.3305 images/s
[07/29 05:13:50] ppdet.engine INFO: Epoch: [276] [540/732] learning_rate: 0.016000 loss_vfl: 0.876482 loss_bbox: 0.417876 loss_dfl: 0.395322 loss: 1.678771 eta: 4:30:32 batch_cost: 0.6619 data_cost: 0.0009 ips: 60.4340 images/s
[07/29 05:14:04] ppdet.engine INFO: Epoch: [276] [560/732] learning_rate: 0.016000 loss_vfl: 0.888093 loss_bbox: 0.433269 loss_dfl: 0.411074 loss: 1.727229 eta: 4:30:12 batch_cost: 0.5591 data_cost: 0.0011 ips: 71.5495 images/s
[07/29 05:14:19] ppdet.engine INFO: Epoch: [276] [580/732] learning_rate: 0.016000 loss_vfl: 0.919423 loss_bbox: 0.441105 loss_dfl: 0.406599 loss: 1.768472 eta: 4:29:52 batch_cost: 0.6069 data_cost: 0.0003 ips: 65.9084 images/s
[07/29 05:14:33] ppdet.engine INFO: Epoch: [276] [600/732] learning_rate: 0.016000 loss_vfl: 0.925547 loss_bbox: 0.428381 loss_dfl: 0.411521 loss: 1.751243 eta: 4:29:33 batch_cost: 0.5700 data_cost: 0.0023 ips: 70.1760 images/s
[07/29 05:14:47] ppdet.engine INFO: Epoch: [276] [620/732] learning_rate: 0.016000 loss_vfl: 0.844977 loss_bbox: 0.448576 loss_dfl: 0.397992 loss: 1.691003 eta: 4:29:13 batch_cost: 0.6051 data_cost: 0.0009 ips: 66.1013 images/s
[07/29 05:15:04] ppdet.engine INFO: Epoch: [276] [640/732] learning_rate: 0.016000 loss_vfl: 0.913128 loss_bbox: 0.443975 loss_dfl: 0.412714 loss: 1.759596 eta: 4:28:53 batch_cost: 0.6488 data_cost: 0.0009 ips: 61.6478 images/s
[07/29 05:15:18] ppdet.engine INFO: Epoch: [276] [660/732] learning_rate: 0.016000 loss_vfl: 0.867292 loss_bbox: 0.424392 loss_dfl: 0.396512 loss: 1.684339 eta: 4:28:34 batch_cost: 0.5985 data_cost: 0.0011 ips: 66.8319 images/s
[07/29 05:15:34] ppdet.engine INFO: Epoch: [276] [680/732] learning_rate: 0.016000 loss_vfl: 0.934629 loss_bbox: 0.456852 loss_dfl: 0.422799 loss: 1.822879 eta: 4:28:14 batch_cost: 0.6378 data_cost: 0.0003 ips: 62.7186 images/s
[07/29 05:15:48] ppdet.engine INFO: Epoch: [276] [700/732] learning_rate: 0.016000 loss_vfl: 0.901833 loss_bbox: 0.434209 loss_dfl: 0.403941 loss: 1.748291 eta: 4:27:55 batch_cost: 0.5844 data_cost: 0.0009 ips: 68.4516 images/s
[07/29 05:16:03] ppdet.engine INFO: Epoch: [276] [720/732] learning_rate: 0.016000 loss_vfl: 0.903283 loss_bbox: 0.451006 loss_dfl: 0.407493 loss: 1.743660 eta: 4:27:35 batch_cost: 0.5865 data_cost: 0.0014 ips: 68.2053 images/s
[07/29 05:16:17] ppdet.engine INFO: Epoch: [277] [  0/732] learning_rate: 0.016000 loss_vfl: 0.956134 loss_bbox: 0.465429 loss_dfl: 0.426089 loss: 1.833154 eta: 4:27:23 batch_cost: 0.8170 data_cost: 0.2256 ips: 48.9619 images/s
[07/29 05:16:35] ppdet.engine INFO: Epoch: [277] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.866199 loss_bbox: 0.427615 loss_dfl: 0.394571 loss: 1.693846 eta: 4:27:04 batch_cost: 0.7398 data_cost: 0.0003 ips: 54.0718 images/s
[07/29 05:16:51] ppdet.engine INFO: Epoch: [277] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.893234 loss_bbox: 0.448376 loss_dfl: 0.403543 loss: 1.760292 eta: 4:26:44 batch_cost: 0.6176 data_cost: 0.0010 ips: 64.7700 images/s
[07/29 05:17:07] ppdet.engine INFO: Epoch: [277] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.913795 loss_bbox: 0.438124 loss_dfl: 0.412818 loss: 1.759512 eta: 4:26:25 batch_cost: 0.6934 data_cost: 0.0003 ips: 57.6840 images/s
[07/29 05:17:23] ppdet.engine INFO: Epoch: [277] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.872644 loss_bbox: 0.419413 loss_dfl: 0.398133 loss: 1.689434 eta: 4:26:05 batch_cost: 0.6485 data_cost: 0.0003 ips: 61.6815 images/s
[07/29 05:17:38] ppdet.engine INFO: Epoch: [277] [100/732] learning_rate: 0.016000 loss_vfl: 0.855974 loss_bbox: 0.422792 loss_dfl: 0.397495 loss: 1.670650 eta: 4:25:46 batch_cost: 0.6481 data_cost: 0.0003 ips: 61.7192 images/s
[07/29 05:17:53] ppdet.engine INFO: Epoch: [277] [120/732] learning_rate: 0.016000 loss_vfl: 0.860985 loss_bbox: 0.439845 loss_dfl: 0.396478 loss: 1.684565 eta: 4:25:26 batch_cost: 0.6130 data_cost: 0.0020 ips: 65.2514 images/s
[07/29 05:18:08] ppdet.engine INFO: Epoch: [277] [140/732] learning_rate: 0.016000 loss_vfl: 0.936579 loss_bbox: 0.472422 loss_dfl: 0.431790 loss: 1.848497 eta: 4:25:07 batch_cost: 0.6328 data_cost: 0.0009 ips: 63.2096 images/s
[07/29 05:18:24] ppdet.engine INFO: Epoch: [277] [160/732] learning_rate: 0.016000 loss_vfl: 0.863495 loss_bbox: 0.424540 loss_dfl: 0.388216 loss: 1.669817 eta: 4:24:47 batch_cost: 0.6348 data_cost: 0.0006 ips: 63.0166 images/s
[07/29 05:18:39] ppdet.engine INFO: Epoch: [277] [180/732] learning_rate: 0.016000 loss_vfl: 0.908013 loss_bbox: 0.434708 loss_dfl: 0.407777 loss: 1.755032 eta: 4:24:28 batch_cost: 0.6647 data_cost: 0.0003 ips: 60.1800 images/s
[07/29 05:18:54] ppdet.engine INFO: Epoch: [277] [200/732] learning_rate: 0.016000 loss_vfl: 0.900700 loss_bbox: 0.428579 loss_dfl: 0.401397 loss: 1.732690 eta: 4:24:08 batch_cost: 0.6147 data_cost: 0.0003 ips: 65.0711 images/s
[07/29 05:19:10] ppdet.engine INFO: Epoch: [277] [220/732] learning_rate: 0.016000 loss_vfl: 0.896980 loss_bbox: 0.413154 loss_dfl: 0.401518 loss: 1.719527 eta: 4:23:48 batch_cost: 0.6256 data_cost: 0.0003 ips: 63.9428 images/s
[07/29 05:19:25] ppdet.engine INFO: Epoch: [277] [240/732] learning_rate: 0.016000 loss_vfl: 0.883253 loss_bbox: 0.426657 loss_dfl: 0.402879 loss: 1.714926 eta: 4:23:29 batch_cost: 0.5772 data_cost: 0.0018 ips: 69.3023 images/s
[07/29 05:19:41] ppdet.engine INFO: Epoch: [277] [260/732] learning_rate: 0.016000 loss_vfl: 0.876289 loss_bbox: 0.441698 loss_dfl: 0.402080 loss: 1.710654 eta: 4:23:09 batch_cost: 0.6682 data_cost: 0.0019 ips: 59.8667 images/s
[07/29 05:19:56] ppdet.engine INFO: Epoch: [277] [280/732] learning_rate: 0.016000 loss_vfl: 0.910177 loss_bbox: 0.450021 loss_dfl: 0.409185 loss: 1.751717 eta: 4:22:50 batch_cost: 0.6285 data_cost: 0.0003 ips: 63.6398 images/s
[07/29 05:20:12] ppdet.engine INFO: Epoch: [277] [300/732] learning_rate: 0.016000 loss_vfl: 0.856711 loss_bbox: 0.407133 loss_dfl: 0.378614 loss: 1.633360 eta: 4:22:30 batch_cost: 0.6488 data_cost: 0.0005 ips: 61.6523 images/s
[07/29 05:20:28] ppdet.engine INFO: Epoch: [277] [320/732] learning_rate: 0.016000 loss_vfl: 0.899721 loss_bbox: 0.436132 loss_dfl: 0.405225 loss: 1.748607 eta: 4:22:10 batch_cost: 0.6362 data_cost: 0.0003 ips: 62.8765 images/s
[07/29 05:20:43] ppdet.engine INFO: Epoch: [277] [340/732] learning_rate: 0.016000 loss_vfl: 0.900346 loss_bbox: 0.450247 loss_dfl: 0.415507 loss: 1.771910 eta: 4:21:51 batch_cost: 0.6375 data_cost: 0.0003 ips: 62.7405 images/s
[07/29 05:20:57] ppdet.engine INFO: Epoch: [277] [360/732] learning_rate: 0.016000 loss_vfl: 0.846183 loss_bbox: 0.428573 loss_dfl: 0.397317 loss: 1.677467 eta: 4:21:31 batch_cost: 0.5771 data_cost: 0.0003 ips: 69.3126 images/s
[07/29 05:21:11] ppdet.engine INFO: Epoch: [277] [380/732] learning_rate: 0.016000 loss_vfl: 0.885782 loss_bbox: 0.443197 loss_dfl: 0.406503 loss: 1.720779 eta: 4:21:12 batch_cost: 0.5974 data_cost: 0.0014 ips: 66.9558 images/s
[07/29 05:21:26] ppdet.engine INFO: Epoch: [277] [400/732] learning_rate: 0.016000 loss_vfl: 0.891321 loss_bbox: 0.430348 loss_dfl: 0.408450 loss: 1.722859 eta: 4:20:52 batch_cost: 0.6046 data_cost: 0.0003 ips: 66.1585 images/s
[07/29 05:21:40] ppdet.engine INFO: Epoch: [277] [420/732] learning_rate: 0.016000 loss_vfl: 0.929471 loss_bbox: 0.457835 loss_dfl: 0.405575 loss: 1.791807 eta: 4:20:32 batch_cost: 0.5558 data_cost: 0.0016 ips: 71.9685 images/s
[07/29 05:21:56] ppdet.engine INFO: Epoch: [277] [440/732] learning_rate: 0.016000 loss_vfl: 0.863528 loss_bbox: 0.434463 loss_dfl: 0.391504 loss: 1.681705 eta: 4:20:13 batch_cost: 0.6171 data_cost: 0.0019 ips: 64.8203 images/s
[07/29 05:22:11] ppdet.engine INFO: Epoch: [277] [460/732] learning_rate: 0.016000 loss_vfl: 0.880771 loss_bbox: 0.446721 loss_dfl: 0.416393 loss: 1.754135 eta: 4:19:53 batch_cost: 0.6046 data_cost: 0.0011 ips: 66.1580 images/s
[07/29 05:22:26] ppdet.engine INFO: Epoch: [277] [480/732] learning_rate: 0.016000 loss_vfl: 0.893586 loss_bbox: 0.441394 loss_dfl: 0.404766 loss: 1.724214 eta: 4:19:33 batch_cost: 0.6047 data_cost: 0.0003 ips: 66.1440 images/s
[07/29 05:22:41] ppdet.engine INFO: Epoch: [277] [500/732] learning_rate: 0.016000 loss_vfl: 0.897075 loss_bbox: 0.435782 loss_dfl: 0.402583 loss: 1.735440 eta: 4:19:14 batch_cost: 0.6252 data_cost: 0.0017 ips: 63.9779 images/s
[07/29 05:22:57] ppdet.engine INFO: Epoch: [277] [520/732] learning_rate: 0.016000 loss_vfl: 0.896392 loss_bbox: 0.456732 loss_dfl: 0.410733 loss: 1.764076 eta: 4:18:54 batch_cost: 0.6444 data_cost: 0.0015 ips: 62.0710 images/s
[07/29 05:23:11] ppdet.engine INFO: Epoch: [277] [540/732] learning_rate: 0.016000 loss_vfl: 0.857271 loss_bbox: 0.430707 loss_dfl: 0.374591 loss: 1.631118 eta: 4:18:35 batch_cost: 0.5613 data_cost: 0.0009 ips: 71.2691 images/s
[07/29 05:23:26] ppdet.engine INFO: Epoch: [277] [560/732] learning_rate: 0.016000 loss_vfl: 0.974754 loss_bbox: 0.444375 loss_dfl: 0.417233 loss: 1.836362 eta: 4:18:15 batch_cost: 0.6214 data_cost: 0.0003 ips: 64.3701 images/s
[07/29 05:23:42] ppdet.engine INFO: Epoch: [277] [580/732] learning_rate: 0.016000 loss_vfl: 0.898068 loss_bbox: 0.453869 loss_dfl: 0.413276 loss: 1.764743 eta: 4:17:56 batch_cost: 0.5947 data_cost: 0.0003 ips: 67.2559 images/s
[07/29 05:23:57] ppdet.engine INFO: Epoch: [277] [600/732] learning_rate: 0.016000 loss_vfl: 0.890738 loss_bbox: 0.457812 loss_dfl: 0.416060 loss: 1.791875 eta: 4:17:36 batch_cost: 0.6540 data_cost: 0.0011 ips: 61.1580 images/s
[07/29 05:24:13] ppdet.engine INFO: Epoch: [277] [620/732] learning_rate: 0.016000 loss_vfl: 0.900753 loss_bbox: 0.436913 loss_dfl: 0.404727 loss: 1.741692 eta: 4:17:16 batch_cost: 0.6294 data_cost: 0.0006 ips: 63.5504 images/s
[07/29 05:24:29] ppdet.engine INFO: Epoch: [277] [640/732] learning_rate: 0.016000 loss_vfl: 0.857799 loss_bbox: 0.412437 loss_dfl: 0.398644 loss: 1.678470 eta: 4:16:57 batch_cost: 0.6480 data_cost: 0.0010 ips: 61.7289 images/s
[07/29 05:24:44] ppdet.engine INFO: Epoch: [277] [660/732] learning_rate: 0.016000 loss_vfl: 0.890185 loss_bbox: 0.445074 loss_dfl: 0.393855 loss: 1.731082 eta: 4:16:37 batch_cost: 0.5891 data_cost: 0.0012 ips: 67.9042 images/s
[07/29 05:25:00] ppdet.engine INFO: Epoch: [277] [680/732] learning_rate: 0.016000 loss_vfl: 0.882398 loss_bbox: 0.454404 loss_dfl: 0.404725 loss: 1.751328 eta: 4:16:18 batch_cost: 0.6685 data_cost: 0.0003 ips: 59.8395 images/s
[07/29 05:25:15] ppdet.engine INFO: Epoch: [277] [700/732] learning_rate: 0.016000 loss_vfl: 0.932846 loss_bbox: 0.447964 loss_dfl: 0.426129 loss: 1.790964 eta: 4:15:58 batch_cost: 0.6242 data_cost: 0.0009 ips: 64.0773 images/s
[07/29 05:25:31] ppdet.engine INFO: Epoch: [277] [720/732] learning_rate: 0.016000 loss_vfl: 0.904149 loss_bbox: 0.442505 loss_dfl: 0.407894 loss: 1.753431 eta: 4:15:39 batch_cost: 0.6690 data_cost: 0.0004 ips: 59.7919 images/s
[07/29 05:25:45] ppdet.engine INFO: Epoch: [278] [  0/732] learning_rate: 0.016000 loss_vfl: 0.911436 loss_bbox: 0.446722 loss_dfl: 0.404594 loss: 1.769039 eta: 4:15:27 batch_cost: 0.8325 data_cost: 0.2467 ips: 48.0480 images/s
[07/29 05:26:03] ppdet.engine INFO: Epoch: [278] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.888753 loss_bbox: 0.428191 loss_dfl: 0.396892 loss: 1.712291 eta: 4:15:08 batch_cost: 0.7222 data_cost: 0.0004 ips: 55.3833 images/s
[07/29 05:26:19] ppdet.engine INFO: Epoch: [278] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.853427 loss_bbox: 0.404271 loss_dfl: 0.385710 loss: 1.622566 eta: 4:14:48 batch_cost: 0.6475 data_cost: 0.0003 ips: 61.7726 images/s
[07/29 05:26:34] ppdet.engine INFO: Epoch: [278] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.893769 loss_bbox: 0.450777 loss_dfl: 0.415662 loss: 1.741528 eta: 4:14:29 batch_cost: 0.6317 data_cost: 0.0006 ips: 63.3217 images/s
[07/29 05:26:50] ppdet.engine INFO: Epoch: [278] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.907238 loss_bbox: 0.445163 loss_dfl: 0.417014 loss: 1.791736 eta: 4:14:09 batch_cost: 0.6497 data_cost: 0.0024 ips: 61.5643 images/s
[07/29 05:27:06] ppdet.engine INFO: Epoch: [278] [100/732] learning_rate: 0.016000 loss_vfl: 0.903447 loss_bbox: 0.420356 loss_dfl: 0.406115 loss: 1.746918 eta: 4:13:50 batch_cost: 0.6337 data_cost: 0.0004 ips: 63.1213 images/s
[07/29 05:27:22] ppdet.engine INFO: Epoch: [278] [120/732] learning_rate: 0.016000 loss_vfl: 0.900261 loss_bbox: 0.434033 loss_dfl: 0.408226 loss: 1.745455 eta: 4:13:30 batch_cost: 0.6544 data_cost: 0.0004 ips: 61.1275 images/s
[07/29 05:27:38] ppdet.engine INFO: Epoch: [278] [140/732] learning_rate: 0.016000 loss_vfl: 0.876084 loss_bbox: 0.415659 loss_dfl: 0.386629 loss: 1.677498 eta: 4:13:11 batch_cost: 0.6721 data_cost: 0.0005 ips: 59.5139 images/s
[07/29 05:27:54] ppdet.engine INFO: Epoch: [278] [160/732] learning_rate: 0.016000 loss_vfl: 0.876616 loss_bbox: 0.455850 loss_dfl: 0.413412 loss: 1.750061 eta: 4:12:51 batch_cost: 0.6349 data_cost: 0.0007 ips: 63.0028 images/s
[07/29 05:28:09] ppdet.engine INFO: Epoch: [278] [180/732] learning_rate: 0.016000 loss_vfl: 0.890030 loss_bbox: 0.432658 loss_dfl: 0.403509 loss: 1.712395 eta: 4:12:32 batch_cost: 0.6518 data_cost: 0.0004 ips: 61.3672 images/s
[07/29 05:28:24] ppdet.engine INFO: Epoch: [278] [200/732] learning_rate: 0.016000 loss_vfl: 0.847403 loss_bbox: 0.426154 loss_dfl: 0.385574 loss: 1.661880 eta: 4:12:12 batch_cost: 0.6348 data_cost: 0.0028 ips: 63.0147 images/s
[07/29 05:28:39] ppdet.engine INFO: Epoch: [278] [220/732] learning_rate: 0.016000 loss_vfl: 0.894175 loss_bbox: 0.431264 loss_dfl: 0.410681 loss: 1.760998 eta: 4:11:53 batch_cost: 0.5989 data_cost: 0.0038 ips: 66.7838 images/s
[07/29 05:28:54] ppdet.engine INFO: Epoch: [278] [240/732] learning_rate: 0.016000 loss_vfl: 0.887421 loss_bbox: 0.429130 loss_dfl: 0.399901 loss: 1.726932 eta: 4:11:33 batch_cost: 0.6050 data_cost: 0.0009 ips: 66.1196 images/s
[07/29 05:29:10] ppdet.engine INFO: Epoch: [278] [260/732] learning_rate: 0.016000 loss_vfl: 0.929905 loss_bbox: 0.467793 loss_dfl: 0.426870 loss: 1.827164 eta: 4:11:14 batch_cost: 0.6596 data_cost: 0.0003 ips: 60.6457 images/s
[07/29 05:29:26] ppdet.engine INFO: Epoch: [278] [280/732] learning_rate: 0.016000 loss_vfl: 0.874801 loss_bbox: 0.424909 loss_dfl: 0.407750 loss: 1.712674 eta: 4:10:54 batch_cost: 0.6407 data_cost: 0.0003 ips: 62.4273 images/s
[07/29 05:29:41] ppdet.engine INFO: Epoch: [278] [300/732] learning_rate: 0.016000 loss_vfl: 0.851560 loss_bbox: 0.418259 loss_dfl: 0.385333 loss: 1.672212 eta: 4:10:35 batch_cost: 0.6379 data_cost: 0.0003 ips: 62.7088 images/s
[07/29 05:29:56] ppdet.engine INFO: Epoch: [278] [320/732] learning_rate: 0.016000 loss_vfl: 0.874576 loss_bbox: 0.440576 loss_dfl: 0.400100 loss: 1.705942 eta: 4:10:15 batch_cost: 0.5649 data_cost: 0.0003 ips: 70.8063 images/s
[07/29 05:30:11] ppdet.engine INFO: Epoch: [278] [340/732] learning_rate: 0.016000 loss_vfl: 0.869024 loss_bbox: 0.422385 loss_dfl: 0.396182 loss: 1.692067 eta: 4:09:55 batch_cost: 0.5805 data_cost: 0.0003 ips: 68.9067 images/s
[07/29 05:30:25] ppdet.engine INFO: Epoch: [278] [360/732] learning_rate: 0.016000 loss_vfl: 0.870457 loss_bbox: 0.443478 loss_dfl: 0.407161 loss: 1.709516 eta: 4:09:36 batch_cost: 0.6392 data_cost: 0.0010 ips: 62.5754 images/s
[07/29 05:30:40] ppdet.engine INFO: Epoch: [278] [380/732] learning_rate: 0.016000 loss_vfl: 0.899581 loss_bbox: 0.437920 loss_dfl: 0.414168 loss: 1.758594 eta: 4:09:16 batch_cost: 0.5958 data_cost: 0.0003 ips: 67.1332 images/s
[07/29 05:30:55] ppdet.engine INFO: Epoch: [278] [400/732] learning_rate: 0.016000 loss_vfl: 0.888442 loss_bbox: 0.450206 loss_dfl: 0.405635 loss: 1.739894 eta: 4:08:57 batch_cost: 0.6038 data_cost: 0.0014 ips: 66.2483 images/s
[07/29 05:31:11] ppdet.engine INFO: Epoch: [278] [420/732] learning_rate: 0.016000 loss_vfl: 0.897423 loss_bbox: 0.429759 loss_dfl: 0.386982 loss: 1.700564 eta: 4:08:37 batch_cost: 0.6787 data_cost: 0.0022 ips: 58.9359 images/s
[07/29 05:31:25] ppdet.engine INFO: Epoch: [278] [440/732] learning_rate: 0.016000 loss_vfl: 0.880651 loss_bbox: 0.455759 loss_dfl: 0.419075 loss: 1.763311 eta: 4:08:18 batch_cost: 0.6151 data_cost: 0.0019 ips: 65.0258 images/s
[07/29 05:31:41] ppdet.engine INFO: Epoch: [278] [460/732] learning_rate: 0.016000 loss_vfl: 0.831218 loss_bbox: 0.401810 loss_dfl: 0.390705 loss: 1.623811 eta: 4:07:58 batch_cost: 0.6331 data_cost: 0.0009 ips: 63.1826 images/s
[07/29 05:31:57] ppdet.engine INFO: Epoch: [278] [480/732] learning_rate: 0.016000 loss_vfl: 0.903181 loss_bbox: 0.438622 loss_dfl: 0.407660 loss: 1.750636 eta: 4:07:39 batch_cost: 0.6782 data_cost: 0.0003 ips: 58.9821 images/s
[07/29 05:32:13] ppdet.engine INFO: Epoch: [278] [500/732] learning_rate: 0.016000 loss_vfl: 0.896277 loss_bbox: 0.424408 loss_dfl: 0.413322 loss: 1.754058 eta: 4:07:19 batch_cost: 0.6889 data_cost: 0.0003 ips: 58.0621 images/s
[07/29 05:32:29] ppdet.engine INFO: Epoch: [278] [520/732] learning_rate: 0.016000 loss_vfl: 0.845534 loss_bbox: 0.401591 loss_dfl: 0.387719 loss: 1.631987 eta: 4:07:00 batch_cost: 0.6415 data_cost: 0.0007 ips: 62.3563 images/s
[07/29 05:32:45] ppdet.engine INFO: Epoch: [278] [540/732] learning_rate: 0.016000 loss_vfl: 0.921937 loss_bbox: 0.460291 loss_dfl: 0.433190 loss: 1.816113 eta: 4:06:41 batch_cost: 0.6741 data_cost: 0.0014 ips: 59.3400 images/s
[07/29 05:33:00] ppdet.engine INFO: Epoch: [278] [560/732] learning_rate: 0.016000 loss_vfl: 0.918593 loss_bbox: 0.441172 loss_dfl: 0.421754 loss: 1.791230 eta: 4:06:21 batch_cost: 0.6002 data_cost: 0.0003 ips: 66.6414 images/s
[07/29 05:33:15] ppdet.engine INFO: Epoch: [278] [580/732] learning_rate: 0.016000 loss_vfl: 0.875014 loss_bbox: 0.405535 loss_dfl: 0.392772 loss: 1.672457 eta: 4:06:02 batch_cost: 0.6548 data_cost: 0.0008 ips: 61.0845 images/s
[07/29 05:33:31] ppdet.engine INFO: Epoch: [278] [600/732] learning_rate: 0.016000 loss_vfl: 0.908373 loss_bbox: 0.446563 loss_dfl: 0.410855 loss: 1.771157 eta: 4:05:42 batch_cost: 0.6683 data_cost: 0.0003 ips: 59.8556 images/s
[07/29 05:33:47] ppdet.engine INFO: Epoch: [278] [620/732] learning_rate: 0.016000 loss_vfl: 0.955686 loss_bbox: 0.459177 loss_dfl: 0.432452 loss: 1.845625 eta: 4:05:23 batch_cost: 0.6062 data_cost: 0.0010 ips: 65.9887 images/s
[07/29 05:34:02] ppdet.engine INFO: Epoch: [278] [640/732] learning_rate: 0.016000 loss_vfl: 0.930383 loss_bbox: 0.443493 loss_dfl: 0.424229 loss: 1.812250 eta: 4:05:03 batch_cost: 0.6177 data_cost: 0.0004 ips: 64.7584 images/s
[07/29 05:34:19] ppdet.engine INFO: Epoch: [278] [660/732] learning_rate: 0.016000 loss_vfl: 0.892090 loss_bbox: 0.421603 loss_dfl: 0.400461 loss: 1.721440 eta: 4:04:44 batch_cost: 0.6525 data_cost: 0.0004 ips: 61.3056 images/s
[07/29 05:34:35] ppdet.engine INFO: Epoch: [278] [680/732] learning_rate: 0.016000 loss_vfl: 0.891727 loss_bbox: 0.442355 loss_dfl: 0.418124 loss: 1.749986 eta: 4:04:24 batch_cost: 0.6462 data_cost: 0.0004 ips: 61.8960 images/s
[07/29 05:34:51] ppdet.engine INFO: Epoch: [278] [700/732] learning_rate: 0.016000 loss_vfl: 0.917103 loss_bbox: 0.443394 loss_dfl: 0.419181 loss: 1.783251 eta: 4:04:05 batch_cost: 0.6537 data_cost: 0.0003 ips: 61.1863 images/s
[07/29 05:35:06] ppdet.engine INFO: Epoch: [278] [720/732] learning_rate: 0.016000 loss_vfl: 0.917617 loss_bbox: 0.457348 loss_dfl: 0.425253 loss: 1.797571 eta: 4:03:45 batch_cost: 0.5987 data_cost: 0.0006 ips: 66.8161 images/s
[07/29 05:35:19] ppdet.engine INFO: Epoch: [279] [  0/732] learning_rate: 0.016000 loss_vfl: 0.870089 loss_bbox: 0.409691 loss_dfl: 0.382334 loss: 1.648154 eta: 4:03:34 batch_cost: 0.7804 data_cost: 0.2289 ips: 51.2561 images/s
[07/29 05:35:36] ppdet.engine INFO: Epoch: [279] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.931689 loss_bbox: 0.442890 loss_dfl: 0.416560 loss: 1.810242 eta: 4:03:14 batch_cost: 0.6685 data_cost: 0.0003 ips: 59.8320 images/s
[07/29 05:35:51] ppdet.engine INFO: Epoch: [279] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.961328 loss_bbox: 0.472767 loss_dfl: 0.421193 loss: 1.848015 eta: 4:02:55 batch_cost: 0.6355 data_cost: 0.0021 ips: 62.9456 images/s
[07/29 05:36:06] ppdet.engine INFO: Epoch: [279] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.837820 loss_bbox: 0.426805 loss_dfl: 0.388110 loss: 1.653255 eta: 4:02:35 batch_cost: 0.6022 data_cost: 0.0004 ips: 66.4224 images/s
[07/29 05:36:21] ppdet.engine INFO: Epoch: [279] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.899680 loss_bbox: 0.456616 loss_dfl: 0.423576 loss: 1.794994 eta: 4:02:16 batch_cost: 0.6377 data_cost: 0.0010 ips: 62.7268 images/s
[07/29 05:36:36] ppdet.engine INFO: Epoch: [279] [100/732] learning_rate: 0.016000 loss_vfl: 0.938029 loss_bbox: 0.459477 loss_dfl: 0.427963 loss: 1.822774 eta: 4:01:56 batch_cost: 0.5928 data_cost: 0.0003 ips: 67.4752 images/s
[07/29 05:36:52] ppdet.engine INFO: Epoch: [279] [120/732] learning_rate: 0.016000 loss_vfl: 0.903354 loss_bbox: 0.429579 loss_dfl: 0.402467 loss: 1.725098 eta: 4:01:37 batch_cost: 0.5806 data_cost: 0.0005 ips: 68.8913 images/s
[07/29 05:37:07] ppdet.engine INFO: Epoch: [279] [140/732] learning_rate: 0.016000 loss_vfl: 0.902483 loss_bbox: 0.467578 loss_dfl: 0.421316 loss: 1.768192 eta: 4:01:17 batch_cost: 0.6589 data_cost: 0.0009 ips: 60.7041 images/s
[07/29 05:37:23] ppdet.engine INFO: Epoch: [279] [160/732] learning_rate: 0.016000 loss_vfl: 0.849391 loss_bbox: 0.413033 loss_dfl: 0.385363 loss: 1.652451 eta: 4:00:58 batch_cost: 0.6035 data_cost: 0.0003 ips: 66.2812 images/s
[07/29 05:37:38] ppdet.engine INFO: Epoch: [279] [180/732] learning_rate: 0.016000 loss_vfl: 0.898024 loss_bbox: 0.453085 loss_dfl: 0.408597 loss: 1.768323 eta: 4:00:38 batch_cost: 0.6355 data_cost: 0.0003 ips: 62.9398 images/s
[07/29 05:37:53] ppdet.engine INFO: Epoch: [279] [200/732] learning_rate: 0.016000 loss_vfl: 0.845167 loss_bbox: 0.425377 loss_dfl: 0.389161 loss: 1.675202 eta: 4:00:19 batch_cost: 0.5938 data_cost: 0.0008 ips: 67.3672 images/s
[07/29 05:38:08] ppdet.engine INFO: Epoch: [279] [220/732] learning_rate: 0.016000 loss_vfl: 0.871518 loss_bbox: 0.446653 loss_dfl: 0.400659 loss: 1.718830 eta: 3:59:59 batch_cost: 0.6262 data_cost: 0.0003 ips: 63.8791 images/s
[07/29 05:38:23] ppdet.engine INFO: Epoch: [279] [240/732] learning_rate: 0.016000 loss_vfl: 0.882303 loss_bbox: 0.427951 loss_dfl: 0.405014 loss: 1.733096 eta: 3:59:40 batch_cost: 0.5672 data_cost: 0.0003 ips: 70.5277 images/s
[07/29 05:38:39] ppdet.engine INFO: Epoch: [279] [260/732] learning_rate: 0.016000 loss_vfl: 0.849759 loss_bbox: 0.407462 loss_dfl: 0.393806 loss: 1.634998 eta: 3:59:20 batch_cost: 0.6506 data_cost: 0.0003 ips: 61.4861 images/s
[07/29 05:38:54] ppdet.engine INFO: Epoch: [279] [280/732] learning_rate: 0.016000 loss_vfl: 0.856507 loss_bbox: 0.419288 loss_dfl: 0.396416 loss: 1.688082 eta: 3:59:01 batch_cost: 0.5893 data_cost: 0.0033 ips: 67.8801 images/s
[07/29 05:39:10] ppdet.engine INFO: Epoch: [279] [300/732] learning_rate: 0.016000 loss_vfl: 0.866885 loss_bbox: 0.446349 loss_dfl: 0.402192 loss: 1.691075 eta: 3:58:41 batch_cost: 0.6693 data_cost: 0.0003 ips: 59.7664 images/s
[07/29 05:39:25] ppdet.engine INFO: Epoch: [279] [320/732] learning_rate: 0.016000 loss_vfl: 0.834634 loss_bbox: 0.400532 loss_dfl: 0.377661 loss: 1.602425 eta: 3:58:22 batch_cost: 0.5952 data_cost: 0.0003 ips: 67.2046 images/s
[07/29 05:39:40] ppdet.engine INFO: Epoch: [279] [340/732] learning_rate: 0.016000 loss_vfl: 0.848142 loss_bbox: 0.429234 loss_dfl: 0.401272 loss: 1.678189 eta: 3:58:02 batch_cost: 0.5914 data_cost: 0.0007 ips: 67.6340 images/s
[07/29 05:39:55] ppdet.engine INFO: Epoch: [279] [360/732] learning_rate: 0.016000 loss_vfl: 0.881981 loss_bbox: 0.445399 loss_dfl: 0.413922 loss: 1.751672 eta: 3:57:43 batch_cost: 0.6258 data_cost: 0.0003 ips: 63.9178 images/s
[07/29 05:40:10] ppdet.engine INFO: Epoch: [279] [380/732] learning_rate: 0.016000 loss_vfl: 0.839550 loss_bbox: 0.425326 loss_dfl: 0.386841 loss: 1.669836 eta: 3:57:23 batch_cost: 0.6051 data_cost: 0.0017 ips: 66.1041 images/s
[07/29 05:40:24] ppdet.engine INFO: Epoch: [279] [400/732] learning_rate: 0.016000 loss_vfl: 0.929121 loss_bbox: 0.453564 loss_dfl: 0.411860 loss: 1.745097 eta: 3:57:04 batch_cost: 0.5905 data_cost: 0.0016 ips: 67.7339 images/s
[07/29 05:40:40] ppdet.engine INFO: Epoch: [279] [420/732] learning_rate: 0.016000 loss_vfl: 0.923826 loss_bbox: 0.426121 loss_dfl: 0.415479 loss: 1.780554 eta: 3:56:44 batch_cost: 0.6491 data_cost: 0.0003 ips: 61.6236 images/s
[07/29 05:40:54] ppdet.engine INFO: Epoch: [279] [440/732] learning_rate: 0.016000 loss_vfl: 0.909997 loss_bbox: 0.445295 loss_dfl: 0.416155 loss: 1.770717 eta: 3:56:25 batch_cost: 0.5917 data_cost: 0.0009 ips: 67.6003 images/s
[07/29 05:41:10] ppdet.engine INFO: Epoch: [279] [460/732] learning_rate: 0.016000 loss_vfl: 0.843229 loss_bbox: 0.410781 loss_dfl: 0.382562 loss: 1.619356 eta: 3:56:05 batch_cost: 0.6641 data_cost: 0.0004 ips: 60.2329 images/s
[07/29 05:41:25] ppdet.engine INFO: Epoch: [279] [480/732] learning_rate: 0.016000 loss_vfl: 0.898158 loss_bbox: 0.418502 loss_dfl: 0.403218 loss: 1.705601 eta: 3:55:46 batch_cost: 0.6369 data_cost: 0.0003 ips: 62.7999 images/s
[07/29 05:41:40] ppdet.engine INFO: Epoch: [279] [500/732] learning_rate: 0.016000 loss_vfl: 0.810672 loss_bbox: 0.405809 loss_dfl: 0.373841 loss: 1.590869 eta: 3:55:26 batch_cost: 0.6111 data_cost: 0.0007 ips: 65.4605 images/s
[07/29 05:41:56] ppdet.engine INFO: Epoch: [279] [520/732] learning_rate: 0.016000 loss_vfl: 0.925433 loss_bbox: 0.461304 loss_dfl: 0.423185 loss: 1.798988 eta: 3:55:07 batch_cost: 0.6414 data_cost: 0.0003 ips: 62.3610 images/s
[07/29 05:42:10] ppdet.engine INFO: Epoch: [279] [540/732] learning_rate: 0.016000 loss_vfl: 0.891686 loss_bbox: 0.434647 loss_dfl: 0.400261 loss: 1.720324 eta: 3:54:47 batch_cost: 0.5874 data_cost: 0.0046 ips: 68.0923 images/s
[07/29 05:42:25] ppdet.engine INFO: Epoch: [279] [560/732] learning_rate: 0.016000 loss_vfl: 0.868747 loss_bbox: 0.449720 loss_dfl: 0.410655 loss: 1.731102 eta: 3:54:28 batch_cost: 0.6092 data_cost: 0.0004 ips: 65.6547 images/s
[07/29 05:42:40] ppdet.engine INFO: Epoch: [279] [580/732] learning_rate: 0.016000 loss_vfl: 0.855902 loss_bbox: 0.425708 loss_dfl: 0.386815 loss: 1.668010 eta: 3:54:08 batch_cost: 0.6139 data_cost: 0.0003 ips: 65.1539 images/s
[07/29 05:42:55] ppdet.engine INFO: Epoch: [279] [600/732] learning_rate: 0.016000 loss_vfl: 0.908938 loss_bbox: 0.465035 loss_dfl: 0.419907 loss: 1.788978 eta: 3:53:49 batch_cost: 0.5896 data_cost: 0.0007 ips: 67.8467 images/s
[07/29 05:43:10] ppdet.engine INFO: Epoch: [279] [620/732] learning_rate: 0.016000 loss_vfl: 0.903687 loss_bbox: 0.437162 loss_dfl: 0.402493 loss: 1.758646 eta: 3:53:29 batch_cost: 0.6003 data_cost: 0.0018 ips: 66.6356 images/s
[07/29 05:43:26] ppdet.engine INFO: Epoch: [279] [640/732] learning_rate: 0.016000 loss_vfl: 0.897179 loss_bbox: 0.433489 loss_dfl: 0.403727 loss: 1.735081 eta: 3:53:10 batch_cost: 0.6709 data_cost: 0.0057 ips: 59.6170 images/s
[07/29 05:43:41] ppdet.engine INFO: Epoch: [279] [660/732] learning_rate: 0.016000 loss_vfl: 0.848788 loss_bbox: 0.419168 loss_dfl: 0.393130 loss: 1.664274 eta: 3:52:50 batch_cost: 0.6240 data_cost: 0.0009 ips: 64.1034 images/s
[07/29 05:43:56] ppdet.engine INFO: Epoch: [279] [680/732] learning_rate: 0.016000 loss_vfl: 0.893101 loss_bbox: 0.452919 loss_dfl: 0.413847 loss: 1.754695 eta: 3:52:31 batch_cost: 0.6409 data_cost: 0.0011 ips: 62.4118 images/s
[07/29 05:44:10] ppdet.engine INFO: Epoch: [279] [700/732] learning_rate: 0.016000 loss_vfl: 0.878785 loss_bbox: 0.441581 loss_dfl: 0.418233 loss: 1.735680 eta: 3:52:11 batch_cost: 0.5723 data_cost: 0.0010 ips: 69.8896 images/s
[07/29 05:44:25] ppdet.engine INFO: Epoch: [279] [720/732] learning_rate: 0.016000 loss_vfl: 0.882215 loss_bbox: 0.417358 loss_dfl: 0.396461 loss: 1.691650 eta: 3:51:52 batch_cost: 0.5820 data_cost: 0.0005 ips: 68.7288 images/s
[07/29 05:44:34] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 05:44:35] ppdet.engine INFO: Eval iter: 0
[07/29 05:44:49] ppdet.engine INFO: Eval iter: 100
[07/29 05:44:57] ppdet.engine INFO: Eval iter: 200
[07/29 05:45:05] ppdet.engine INFO: Eval iter: 300
[07/29 05:45:13] ppdet.engine INFO: Eval iter: 400
[07/29 05:45:21] ppdet.engine INFO: Eval iter: 500
[07/29 05:45:29] ppdet.engine INFO: Eval iter: 600
[07/29 05:45:45] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.92s)
creating index...
index created!
[07/29 05:45:46] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.67s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=101.00s).
Accumulating evaluation results...
DONE (t=18.25s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.301
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.442
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.320
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.111
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.322
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.462
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.275
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.449
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.479
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.217
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.536
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.714
[07/29 05:47:52] ppdet.engine INFO: Total sample number: 4952, averge FPS: 86.47771369743101
[07/29 05:47:52] ppdet.engine INFO: Best test bbox ap is 0.301.
[07/29 05:47:52] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 05:47:53] ppdet.engine INFO: Epoch: [280] [  0/732] learning_rate: 0.016000 loss_vfl: 0.880543 loss_bbox: 0.413838 loss_dfl: 0.399307 loss: 1.692796 eta: 3:51:40 batch_cost: 0.5750 data_cost: 0.0004 ips: 69.5690 images/s
[07/29 05:48:09] ppdet.engine INFO: Epoch: [280] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.810553 loss_bbox: 0.401438 loss_dfl: 0.376270 loss: 1.607739 eta: 3:51:21 batch_cost: 0.6526 data_cost: 0.0004 ips: 61.2975 images/s
[07/29 05:48:26] ppdet.engine INFO: Epoch: [280] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.802523 loss_bbox: 0.390599 loss_dfl: 0.362101 loss: 1.542754 eta: 3:51:01 batch_cost: 0.6997 data_cost: 0.0003 ips: 57.1673 images/s
[07/29 05:48:43] ppdet.engine INFO: Epoch: [280] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.881701 loss_bbox: 0.427719 loss_dfl: 0.406938 loss: 1.725379 eta: 3:50:42 batch_cost: 0.6841 data_cost: 0.0003 ips: 58.4720 images/s
[07/29 05:48:59] ppdet.engine INFO: Epoch: [280] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.860531 loss_bbox: 0.406479 loss_dfl: 0.388733 loss: 1.663882 eta: 3:50:23 batch_cost: 0.6714 data_cost: 0.0003 ips: 59.5793 images/s
[07/29 05:49:14] ppdet.engine INFO: Epoch: [280] [100/732] learning_rate: 0.016000 loss_vfl: 0.940973 loss_bbox: 0.474413 loss_dfl: 0.444008 loss: 1.874592 eta: 3:50:03 batch_cost: 0.6569 data_cost: 0.0002 ips: 60.8912 images/s
[07/29 05:49:29] ppdet.engine INFO: Epoch: [280] [120/732] learning_rate: 0.016000 loss_vfl: 0.879962 loss_bbox: 0.445211 loss_dfl: 0.405540 loss: 1.711195 eta: 3:49:44 batch_cost: 0.6133 data_cost: 0.0008 ips: 65.2165 images/s
[07/29 05:49:45] ppdet.engine INFO: Epoch: [280] [140/732] learning_rate: 0.016000 loss_vfl: 0.851842 loss_bbox: 0.417414 loss_dfl: 0.391119 loss: 1.657707 eta: 3:49:24 batch_cost: 0.6587 data_cost: 0.0003 ips: 60.7232 images/s
[07/29 05:50:01] ppdet.engine INFO: Epoch: [280] [160/732] learning_rate: 0.016000 loss_vfl: 0.884189 loss_bbox: 0.425694 loss_dfl: 0.406523 loss: 1.716504 eta: 3:49:05 batch_cost: 0.6557 data_cost: 0.0003 ips: 61.0067 images/s
[07/29 05:50:16] ppdet.engine INFO: Epoch: [280] [180/732] learning_rate: 0.016000 loss_vfl: 0.917874 loss_bbox: 0.469229 loss_dfl: 0.427752 loss: 1.842217 eta: 3:48:46 batch_cost: 0.6192 data_cost: 0.0003 ips: 64.5951 images/s
[07/29 05:50:31] ppdet.engine INFO: Epoch: [280] [200/732] learning_rate: 0.016000 loss_vfl: 0.914938 loss_bbox: 0.455039 loss_dfl: 0.417332 loss: 1.785066 eta: 3:48:26 batch_cost: 0.6491 data_cost: 0.0003 ips: 61.6197 images/s
[07/29 05:50:47] ppdet.engine INFO: Epoch: [280] [220/732] learning_rate: 0.016000 loss_vfl: 0.864743 loss_bbox: 0.418386 loss_dfl: 0.399982 loss: 1.675662 eta: 3:48:07 batch_cost: 0.6785 data_cost: 0.0010 ips: 58.9531 images/s
[07/29 05:51:03] ppdet.engine INFO: Epoch: [280] [240/732] learning_rate: 0.016000 loss_vfl: 0.912767 loss_bbox: 0.427477 loss_dfl: 0.396278 loss: 1.748285 eta: 3:47:47 batch_cost: 0.6860 data_cost: 0.0003 ips: 58.3129 images/s
[07/29 05:51:19] ppdet.engine INFO: Epoch: [280] [260/732] learning_rate: 0.016000 loss_vfl: 0.913924 loss_bbox: 0.485798 loss_dfl: 0.424533 loss: 1.823177 eta: 3:47:28 batch_cost: 0.6327 data_cost: 0.0003 ips: 63.2260 images/s
[07/29 05:51:34] ppdet.engine INFO: Epoch: [280] [280/732] learning_rate: 0.016000 loss_vfl: 0.897005 loss_bbox: 0.434959 loss_dfl: 0.425331 loss: 1.759997 eta: 3:47:09 batch_cost: 0.6104 data_cost: 0.0005 ips: 65.5259 images/s
[07/29 05:51:49] ppdet.engine INFO: Epoch: [280] [300/732] learning_rate: 0.016000 loss_vfl: 0.896940 loss_bbox: 0.462179 loss_dfl: 0.408133 loss: 1.748659 eta: 3:46:49 batch_cost: 0.6273 data_cost: 0.0003 ips: 63.7610 images/s
[07/29 05:52:03] ppdet.engine INFO: Epoch: [280] [320/732] learning_rate: 0.016000 loss_vfl: 0.876999 loss_bbox: 0.412855 loss_dfl: 0.409663 loss: 1.679784 eta: 3:46:30 batch_cost: 0.6080 data_cost: 0.0018 ips: 65.7855 images/s
[07/29 05:52:20] ppdet.engine INFO: Epoch: [280] [340/732] learning_rate: 0.016000 loss_vfl: 0.879258 loss_bbox: 0.436131 loss_dfl: 0.410387 loss: 1.743459 eta: 3:46:10 batch_cost: 0.7048 data_cost: 0.0003 ips: 56.7566 images/s
[07/29 05:52:36] ppdet.engine INFO: Epoch: [280] [360/732] learning_rate: 0.016000 loss_vfl: 0.926679 loss_bbox: 0.460163 loss_dfl: 0.435066 loss: 1.831836 eta: 3:45:51 batch_cost: 0.6418 data_cost: 0.0003 ips: 62.3259 images/s
[07/29 05:52:51] ppdet.engine INFO: Epoch: [280] [380/732] learning_rate: 0.016000 loss_vfl: 0.841436 loss_bbox: 0.418231 loss_dfl: 0.388587 loss: 1.656709 eta: 3:45:32 batch_cost: 0.6313 data_cost: 0.0009 ips: 63.3609 images/s
[07/29 05:53:07] ppdet.engine INFO: Epoch: [280] [400/732] learning_rate: 0.016000 loss_vfl: 0.876633 loss_bbox: 0.434049 loss_dfl: 0.400008 loss: 1.700719 eta: 3:45:12 batch_cost: 0.6759 data_cost: 0.0003 ips: 59.1763 images/s
[07/29 05:53:22] ppdet.engine INFO: Epoch: [280] [420/732] learning_rate: 0.016000 loss_vfl: 0.883646 loss_bbox: 0.426864 loss_dfl: 0.398135 loss: 1.706123 eta: 3:44:53 batch_cost: 0.6336 data_cost: 0.0004 ips: 63.1283 images/s
[07/29 05:53:38] ppdet.engine INFO: Epoch: [280] [440/732] learning_rate: 0.016000 loss_vfl: 0.892710 loss_bbox: 0.465078 loss_dfl: 0.425923 loss: 1.791155 eta: 3:44:33 batch_cost: 0.6785 data_cost: 0.0009 ips: 58.9515 images/s
[07/29 05:53:54] ppdet.engine INFO: Epoch: [280] [460/732] learning_rate: 0.016000 loss_vfl: 0.848071 loss_bbox: 0.411293 loss_dfl: 0.393545 loss: 1.652825 eta: 3:44:14 batch_cost: 0.6833 data_cost: 0.0003 ips: 58.5395 images/s
[07/29 05:54:09] ppdet.engine INFO: Epoch: [280] [480/732] learning_rate: 0.016000 loss_vfl: 0.900574 loss_bbox: 0.419368 loss_dfl: 0.401994 loss: 1.752470 eta: 3:43:55 batch_cost: 0.6451 data_cost: 0.0009 ips: 62.0087 images/s
[07/29 05:54:25] ppdet.engine INFO: Epoch: [280] [500/732] learning_rate: 0.016000 loss_vfl: 0.873403 loss_bbox: 0.425417 loss_dfl: 0.389617 loss: 1.667744 eta: 3:43:35 batch_cost: 0.6370 data_cost: 0.0003 ips: 62.7937 images/s
[07/29 05:54:41] ppdet.engine INFO: Epoch: [280] [520/732] learning_rate: 0.016000 loss_vfl: 0.889999 loss_bbox: 0.436001 loss_dfl: 0.407831 loss: 1.718693 eta: 3:43:16 batch_cost: 0.6879 data_cost: 0.0004 ips: 58.1521 images/s
[07/29 05:54:56] ppdet.engine INFO: Epoch: [280] [540/732] learning_rate: 0.016000 loss_vfl: 0.846447 loss_bbox: 0.416722 loss_dfl: 0.397443 loss: 1.672557 eta: 3:42:56 batch_cost: 0.6011 data_cost: 0.0009 ips: 66.5419 images/s
[07/29 05:55:11] ppdet.engine INFO: Epoch: [280] [560/732] learning_rate: 0.016000 loss_vfl: 0.857743 loss_bbox: 0.415029 loss_dfl: 0.394729 loss: 1.669729 eta: 3:42:37 batch_cost: 0.6396 data_cost: 0.0009 ips: 62.5363 images/s
[07/29 05:55:27] ppdet.engine INFO: Epoch: [280] [580/732] learning_rate: 0.016000 loss_vfl: 0.896251 loss_bbox: 0.446982 loss_dfl: 0.415472 loss: 1.757919 eta: 3:42:18 batch_cost: 0.6059 data_cost: 0.0007 ips: 66.0133 images/s
[07/29 05:55:41] ppdet.engine INFO: Epoch: [280] [600/732] learning_rate: 0.016000 loss_vfl: 0.915344 loss_bbox: 0.445154 loss_dfl: 0.422017 loss: 1.753443 eta: 3:41:58 batch_cost: 0.5979 data_cost: 0.0003 ips: 66.9033 images/s
[07/29 05:55:56] ppdet.engine INFO: Epoch: [280] [620/732] learning_rate: 0.016000 loss_vfl: 0.907593 loss_bbox: 0.457910 loss_dfl: 0.415210 loss: 1.762236 eta: 3:41:39 batch_cost: 0.6307 data_cost: 0.0016 ips: 63.4226 images/s
[07/29 05:56:11] ppdet.engine INFO: Epoch: [280] [640/732] learning_rate: 0.016000 loss_vfl: 0.892356 loss_bbox: 0.422620 loss_dfl: 0.401269 loss: 1.704238 eta: 3:41:19 batch_cost: 0.6242 data_cost: 0.0003 ips: 64.0782 images/s
[07/29 05:56:27] ppdet.engine INFO: Epoch: [280] [660/732] learning_rate: 0.016000 loss_vfl: 0.901799 loss_bbox: 0.441406 loss_dfl: 0.405802 loss: 1.732747 eta: 3:41:00 batch_cost: 0.6390 data_cost: 0.0003 ips: 62.5969 images/s
[07/29 05:56:42] ppdet.engine INFO: Epoch: [280] [680/732] learning_rate: 0.016000 loss_vfl: 0.848566 loss_bbox: 0.416254 loss_dfl: 0.402887 loss: 1.678851 eta: 3:40:41 batch_cost: 0.6169 data_cost: 0.0003 ips: 64.8366 images/s
[07/29 05:56:58] ppdet.engine INFO: Epoch: [280] [700/732] learning_rate: 0.016000 loss_vfl: 0.892791 loss_bbox: 0.462527 loss_dfl: 0.416607 loss: 1.756293 eta: 3:40:21 batch_cost: 0.6565 data_cost: 0.0071 ips: 60.9279 images/s
[07/29 05:57:14] ppdet.engine INFO: Epoch: [280] [720/732] learning_rate: 0.016000 loss_vfl: 0.946921 loss_bbox: 0.449820 loss_dfl: 0.428020 loss: 1.812491 eta: 3:40:02 batch_cost: 0.6900 data_cost: 0.0004 ips: 57.9684 images/s
[07/29 05:57:29] ppdet.engine INFO: Epoch: [281] [  0/732] learning_rate: 0.016000 loss_vfl: 0.886597 loss_bbox: 0.427736 loss_dfl: 0.403053 loss: 1.740631 eta: 3:39:51 batch_cost: 0.9028 data_cost: 0.3221 ips: 44.3044 images/s
[07/29 05:57:45] ppdet.engine INFO: Epoch: [281] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.852713 loss_bbox: 0.445254 loss_dfl: 0.410637 loss: 1.715834 eta: 3:39:31 batch_cost: 0.6537 data_cost: 0.0003 ips: 61.1868 images/s
[07/29 05:58:00] ppdet.engine INFO: Epoch: [281] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.911411 loss_bbox: 0.437609 loss_dfl: 0.418640 loss: 1.763546 eta: 3:39:12 batch_cost: 0.5915 data_cost: 0.0031 ips: 67.6266 images/s
[07/29 05:58:16] ppdet.engine INFO: Epoch: [281] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.922313 loss_bbox: 0.452360 loss_dfl: 0.429701 loss: 1.817463 eta: 3:38:52 batch_cost: 0.6420 data_cost: 0.0013 ips: 62.3097 images/s
[07/29 05:58:31] ppdet.engine INFO: Epoch: [281] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.853046 loss_bbox: 0.408184 loss_dfl: 0.383254 loss: 1.649730 eta: 3:38:33 batch_cost: 0.6442 data_cost: 0.0003 ips: 62.0879 images/s
[07/29 05:58:45] ppdet.engine INFO: Epoch: [281] [100/732] learning_rate: 0.016000 loss_vfl: 0.915670 loss_bbox: 0.456299 loss_dfl: 0.414267 loss: 1.786711 eta: 3:38:14 batch_cost: 0.5690 data_cost: 0.0010 ips: 70.2961 images/s
[07/29 05:59:01] ppdet.engine INFO: Epoch: [281] [120/732] learning_rate: 0.016000 loss_vfl: 0.910279 loss_bbox: 0.437452 loss_dfl: 0.422993 loss: 1.772516 eta: 3:37:54 batch_cost: 0.6340 data_cost: 0.0009 ips: 63.0926 images/s
[07/29 05:59:17] ppdet.engine INFO: Epoch: [281] [140/732] learning_rate: 0.016000 loss_vfl: 0.908601 loss_bbox: 0.444890 loss_dfl: 0.403725 loss: 1.760653 eta: 3:37:35 batch_cost: 0.6251 data_cost: 0.0011 ips: 63.9944 images/s
[07/29 05:59:33] ppdet.engine INFO: Epoch: [281] [160/732] learning_rate: 0.016000 loss_vfl: 0.909400 loss_bbox: 0.443316 loss_dfl: 0.415364 loss: 1.764276 eta: 3:37:15 batch_cost: 0.6405 data_cost: 0.0003 ips: 62.4549 images/s
[07/29 05:59:47] ppdet.engine INFO: Epoch: [281] [180/732] learning_rate: 0.016000 loss_vfl: 0.941781 loss_bbox: 0.467566 loss_dfl: 0.434367 loss: 1.856029 eta: 3:36:56 batch_cost: 0.6036 data_cost: 0.0006 ips: 66.2706 images/s
[07/29 06:00:02] ppdet.engine INFO: Epoch: [281] [200/732] learning_rate: 0.016000 loss_vfl: 0.892560 loss_bbox: 0.434257 loss_dfl: 0.407763 loss: 1.731422 eta: 3:36:36 batch_cost: 0.5856 data_cost: 0.0017 ips: 68.3028 images/s
[07/29 06:00:17] ppdet.engine INFO: Epoch: [281] [220/732] learning_rate: 0.016000 loss_vfl: 0.924895 loss_bbox: 0.452355 loss_dfl: 0.427036 loss: 1.780524 eta: 3:36:17 batch_cost: 0.5925 data_cost: 0.0003 ips: 67.5055 images/s
[07/29 06:00:32] ppdet.engine INFO: Epoch: [281] [240/732] learning_rate: 0.016000 loss_vfl: 0.854115 loss_bbox: 0.404592 loss_dfl: 0.378911 loss: 1.632226 eta: 3:35:58 batch_cost: 0.6008 data_cost: 0.0003 ips: 66.5764 images/s
[07/29 06:00:47] ppdet.engine INFO: Epoch: [281] [260/732] learning_rate: 0.016000 loss_vfl: 0.850112 loss_bbox: 0.404831 loss_dfl: 0.386702 loss: 1.647245 eta: 3:35:38 batch_cost: 0.6098 data_cost: 0.0009 ips: 65.5947 images/s
[07/29 06:01:02] ppdet.engine INFO: Epoch: [281] [280/732] learning_rate: 0.016000 loss_vfl: 0.888499 loss_bbox: 0.423448 loss_dfl: 0.407140 loss: 1.740110 eta: 3:35:19 batch_cost: 0.6183 data_cost: 0.0014 ips: 64.6901 images/s
[07/29 06:01:16] ppdet.engine INFO: Epoch: [281] [300/732] learning_rate: 0.016000 loss_vfl: 0.893750 loss_bbox: 0.448871 loss_dfl: 0.410330 loss: 1.736076 eta: 3:34:59 batch_cost: 0.6210 data_cost: 0.0014 ips: 64.4127 images/s
[07/29 06:01:31] ppdet.engine INFO: Epoch: [281] [320/732] learning_rate: 0.016000 loss_vfl: 0.900722 loss_bbox: 0.435293 loss_dfl: 0.403387 loss: 1.742929 eta: 3:34:40 batch_cost: 0.5700 data_cost: 0.0003 ips: 70.1791 images/s
[07/29 06:01:45] ppdet.engine INFO: Epoch: [281] [340/732] learning_rate: 0.016000 loss_vfl: 0.878368 loss_bbox: 0.426585 loss_dfl: 0.388631 loss: 1.682781 eta: 3:34:21 batch_cost: 0.5670 data_cost: 0.0003 ips: 70.5486 images/s
[07/29 06:02:01] ppdet.engine INFO: Epoch: [281] [360/732] learning_rate: 0.016000 loss_vfl: 0.896991 loss_bbox: 0.435734 loss_dfl: 0.411978 loss: 1.746712 eta: 3:34:01 batch_cost: 0.6695 data_cost: 0.0020 ips: 59.7428 images/s
[07/29 06:02:15] ppdet.engine INFO: Epoch: [281] [380/732] learning_rate: 0.016000 loss_vfl: 0.883076 loss_bbox: 0.430364 loss_dfl: 0.412511 loss: 1.734268 eta: 3:33:42 batch_cost: 0.5727 data_cost: 0.0008 ips: 69.8418 images/s
[07/29 06:02:30] ppdet.engine INFO: Epoch: [281] [400/732] learning_rate: 0.016000 loss_vfl: 0.862304 loss_bbox: 0.426065 loss_dfl: 0.392940 loss: 1.679944 eta: 3:33:22 batch_cost: 0.6081 data_cost: 0.0009 ips: 65.7801 images/s
[07/29 06:02:45] ppdet.engine INFO: Epoch: [281] [420/732] learning_rate: 0.016000 loss_vfl: 0.896367 loss_bbox: 0.466217 loss_dfl: 0.416892 loss: 1.798363 eta: 3:33:03 batch_cost: 0.5642 data_cost: 0.0003 ips: 70.9010 images/s
[07/29 06:03:00] ppdet.engine INFO: Epoch: [281] [440/732] learning_rate: 0.016000 loss_vfl: 0.929330 loss_bbox: 0.451986 loss_dfl: 0.419728 loss: 1.794349 eta: 3:32:44 batch_cost: 0.6462 data_cost: 0.0003 ips: 61.9034 images/s
[07/29 06:03:17] ppdet.engine INFO: Epoch: [281] [460/732] learning_rate: 0.016000 loss_vfl: 0.866125 loss_bbox: 0.418904 loss_dfl: 0.403352 loss: 1.709994 eta: 3:32:24 batch_cost: 0.7175 data_cost: 0.0055 ips: 55.7509 images/s
[07/29 06:03:32] ppdet.engine INFO: Epoch: [281] [480/732] learning_rate: 0.016000 loss_vfl: 0.819797 loss_bbox: 0.398860 loss_dfl: 0.381620 loss: 1.604330 eta: 3:32:05 batch_cost: 0.6473 data_cost: 0.0003 ips: 61.7978 images/s
[07/29 06:03:47] ppdet.engine INFO: Epoch: [281] [500/732] learning_rate: 0.016000 loss_vfl: 0.914811 loss_bbox: 0.473125 loss_dfl: 0.417745 loss: 1.796515 eta: 3:31:45 batch_cost: 0.5844 data_cost: 0.0008 ips: 68.4414 images/s
[07/29 06:04:01] ppdet.engine INFO: Epoch: [281] [520/732] learning_rate: 0.016000 loss_vfl: 0.872708 loss_bbox: 0.427084 loss_dfl: 0.386772 loss: 1.687059 eta: 3:31:26 batch_cost: 0.5793 data_cost: 0.0010 ips: 69.0543 images/s
[07/29 06:04:15] ppdet.engine INFO: Epoch: [281] [540/732] learning_rate: 0.016000 loss_vfl: 0.941825 loss_bbox: 0.472457 loss_dfl: 0.432096 loss: 1.839245 eta: 3:31:07 batch_cost: 0.5522 data_cost: 0.0003 ips: 72.4377 images/s
[07/29 06:04:30] ppdet.engine INFO: Epoch: [281] [560/732] learning_rate: 0.016000 loss_vfl: 0.874410 loss_bbox: 0.436686 loss_dfl: 0.398275 loss: 1.714938 eta: 3:30:47 batch_cost: 0.5732 data_cost: 0.0007 ips: 69.7816 images/s
[07/29 06:04:45] ppdet.engine INFO: Epoch: [281] [580/732] learning_rate: 0.016000 loss_vfl: 0.882645 loss_bbox: 0.460859 loss_dfl: 0.411325 loss: 1.728986 eta: 3:30:28 batch_cost: 0.5921 data_cost: 0.0003 ips: 67.5549 images/s
[07/29 06:05:00] ppdet.engine INFO: Epoch: [281] [600/732] learning_rate: 0.016000 loss_vfl: 0.895038 loss_bbox: 0.441062 loss_dfl: 0.414420 loss: 1.761463 eta: 3:30:08 batch_cost: 0.6397 data_cost: 0.0009 ips: 62.5261 images/s
[07/29 06:05:15] ppdet.engine INFO: Epoch: [281] [620/732] learning_rate: 0.016000 loss_vfl: 0.843368 loss_bbox: 0.406163 loss_dfl: 0.376879 loss: 1.626164 eta: 3:29:49 batch_cost: 0.5935 data_cost: 0.0003 ips: 67.3948 images/s
[07/29 06:05:29] ppdet.engine INFO: Epoch: [281] [640/732] learning_rate: 0.016000 loss_vfl: 0.923397 loss_bbox: 0.452653 loss_dfl: 0.426287 loss: 1.823951 eta: 3:29:30 batch_cost: 0.5473 data_cost: 0.0011 ips: 73.0912 images/s
[07/29 06:05:44] ppdet.engine INFO: Epoch: [281] [660/732] learning_rate: 0.016000 loss_vfl: 0.899195 loss_bbox: 0.443857 loss_dfl: 0.401779 loss: 1.742930 eta: 3:29:10 batch_cost: 0.6343 data_cost: 0.0016 ips: 63.0579 images/s
[07/29 06:06:00] ppdet.engine INFO: Epoch: [281] [680/732] learning_rate: 0.016000 loss_vfl: 0.899068 loss_bbox: 0.448740 loss_dfl: 0.414682 loss: 1.746080 eta: 3:28:51 batch_cost: 0.6379 data_cost: 0.0003 ips: 62.7055 images/s
[07/29 06:06:14] ppdet.engine INFO: Epoch: [281] [700/732] learning_rate: 0.016000 loss_vfl: 0.816049 loss_bbox: 0.409161 loss_dfl: 0.385560 loss: 1.611068 eta: 3:28:31 batch_cost: 0.5604 data_cost: 0.0003 ips: 71.3757 images/s
[07/29 06:06:28] ppdet.engine INFO: Epoch: [281] [720/732] learning_rate: 0.016000 loss_vfl: 0.960374 loss_bbox: 0.481386 loss_dfl: 0.437038 loss: 1.868913 eta: 3:28:12 batch_cost: 0.5684 data_cost: 0.0004 ips: 70.3736 images/s
[07/29 06:06:41] ppdet.engine INFO: Epoch: [282] [  0/732] learning_rate: 0.016000 loss_vfl: 0.913124 loss_bbox: 0.467505 loss_dfl: 0.428863 loss: 1.817389 eta: 3:28:01 batch_cost: 0.7484 data_cost: 0.1811 ips: 53.4451 images/s
[07/29 06:06:58] ppdet.engine INFO: Epoch: [282] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.794135 loss_bbox: 0.406176 loss_dfl: 0.375481 loss: 1.586776 eta: 3:27:41 batch_cost: 0.7099 data_cost: 0.0003 ips: 56.3427 images/s
[07/29 06:07:14] ppdet.engine INFO: Epoch: [282] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.906350 loss_bbox: 0.462398 loss_dfl: 0.413332 loss: 1.763009 eta: 3:27:22 batch_cost: 0.6492 data_cost: 0.0004 ips: 61.6117 images/s
[07/29 06:07:29] ppdet.engine INFO: Epoch: [282] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.871817 loss_bbox: 0.452166 loss_dfl: 0.402581 loss: 1.719710 eta: 3:27:03 batch_cost: 0.5905 data_cost: 0.0007 ips: 67.7406 images/s
[07/29 06:07:45] ppdet.engine INFO: Epoch: [282] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.858313 loss_bbox: 0.442560 loss_dfl: 0.386647 loss: 1.667810 eta: 3:26:43 batch_cost: 0.6437 data_cost: 0.0004 ips: 62.1436 images/s
[07/29 06:08:00] ppdet.engine INFO: Epoch: [282] [100/732] learning_rate: 0.016000 loss_vfl: 0.885848 loss_bbox: 0.455270 loss_dfl: 0.411738 loss: 1.739198 eta: 3:26:24 batch_cost: 0.6452 data_cost: 0.0015 ips: 61.9964 images/s
[07/29 06:08:15] ppdet.engine INFO: Epoch: [282] [120/732] learning_rate: 0.016000 loss_vfl: 0.878721 loss_bbox: 0.423164 loss_dfl: 0.415179 loss: 1.734964 eta: 3:26:05 batch_cost: 0.6370 data_cost: 0.0003 ips: 62.7927 images/s
[07/29 06:08:30] ppdet.engine INFO: Epoch: [282] [140/732] learning_rate: 0.016000 loss_vfl: 0.873650 loss_bbox: 0.426557 loss_dfl: 0.398551 loss: 1.705793 eta: 3:25:45 batch_cost: 0.6140 data_cost: 0.0003 ips: 65.1464 images/s
[07/29 06:08:46] ppdet.engine INFO: Epoch: [282] [160/732] learning_rate: 0.016000 loss_vfl: 0.953161 loss_bbox: 0.452009 loss_dfl: 0.428304 loss: 1.853417 eta: 3:25:26 batch_cost: 0.6431 data_cost: 0.0003 ips: 62.1948 images/s
[07/29 06:09:02] ppdet.engine INFO: Epoch: [282] [180/732] learning_rate: 0.016000 loss_vfl: 0.839881 loss_bbox: 0.418669 loss_dfl: 0.392399 loss: 1.663134 eta: 3:25:07 batch_cost: 0.6778 data_cost: 0.0003 ips: 59.0160 images/s
[07/29 06:09:17] ppdet.engine INFO: Epoch: [282] [200/732] learning_rate: 0.016000 loss_vfl: 0.885111 loss_bbox: 0.439398 loss_dfl: 0.399989 loss: 1.736217 eta: 3:24:47 batch_cost: 0.6135 data_cost: 0.0003 ips: 65.1990 images/s
[07/29 06:09:33] ppdet.engine INFO: Epoch: [282] [220/732] learning_rate: 0.016000 loss_vfl: 0.912435 loss_bbox: 0.440790 loss_dfl: 0.416982 loss: 1.767291 eta: 3:24:28 batch_cost: 0.6646 data_cost: 0.0003 ips: 60.1904 images/s
[07/29 06:09:48] ppdet.engine INFO: Epoch: [282] [240/732] learning_rate: 0.016000 loss_vfl: 0.898730 loss_bbox: 0.453493 loss_dfl: 0.418544 loss: 1.767987 eta: 3:24:09 batch_cost: 0.6188 data_cost: 0.0003 ips: 64.6393 images/s
[07/29 06:10:03] ppdet.engine INFO: Epoch: [282] [260/732] learning_rate: 0.016000 loss_vfl: 0.860729 loss_bbox: 0.413672 loss_dfl: 0.385403 loss: 1.667987 eta: 3:23:49 batch_cost: 0.6168 data_cost: 0.0008 ips: 64.8481 images/s
[07/29 06:10:18] ppdet.engine INFO: Epoch: [282] [280/732] learning_rate: 0.016000 loss_vfl: 0.859933 loss_bbox: 0.414583 loss_dfl: 0.386406 loss: 1.690054 eta: 3:23:30 batch_cost: 0.6023 data_cost: 0.0003 ips: 66.4074 images/s
[07/29 06:10:32] ppdet.engine INFO: Epoch: [282] [300/732] learning_rate: 0.016000 loss_vfl: 0.887810 loss_bbox: 0.445183 loss_dfl: 0.400361 loss: 1.725604 eta: 3:23:11 batch_cost: 0.6090 data_cost: 0.0009 ips: 65.6822 images/s
[07/29 06:10:48] ppdet.engine INFO: Epoch: [282] [320/732] learning_rate: 0.016000 loss_vfl: 0.888029 loss_bbox: 0.432363 loss_dfl: 0.393006 loss: 1.714835 eta: 3:22:51 batch_cost: 0.6456 data_cost: 0.0009 ips: 61.9575 images/s
[07/29 06:11:03] ppdet.engine INFO: Epoch: [282] [340/732] learning_rate: 0.016000 loss_vfl: 0.915966 loss_bbox: 0.426483 loss_dfl: 0.414249 loss: 1.776173 eta: 3:22:32 batch_cost: 0.6226 data_cost: 0.0004 ips: 64.2443 images/s
[07/29 06:11:18] ppdet.engine INFO: Epoch: [282] [360/732] learning_rate: 0.016000 loss_vfl: 0.907222 loss_bbox: 0.451569 loss_dfl: 0.415255 loss: 1.770022 eta: 3:22:13 batch_cost: 0.6106 data_cost: 0.0010 ips: 65.5066 images/s
[07/29 06:11:34] ppdet.engine INFO: Epoch: [282] [380/732] learning_rate: 0.016000 loss_vfl: 0.917295 loss_bbox: 0.449858 loss_dfl: 0.420548 loss: 1.786823 eta: 3:21:53 batch_cost: 0.6327 data_cost: 0.0009 ips: 63.2213 images/s
[07/29 06:11:50] ppdet.engine INFO: Epoch: [282] [400/732] learning_rate: 0.016000 loss_vfl: 0.927936 loss_bbox: 0.437508 loss_dfl: 0.424085 loss: 1.797549 eta: 3:21:34 batch_cost: 0.6727 data_cost: 0.0003 ips: 59.4578 images/s
[07/29 06:12:05] ppdet.engine INFO: Epoch: [282] [420/732] learning_rate: 0.016000 loss_vfl: 0.879873 loss_bbox: 0.436408 loss_dfl: 0.393667 loss: 1.711208 eta: 3:21:15 batch_cost: 0.6346 data_cost: 0.0031 ips: 63.0319 images/s
[07/29 06:12:20] ppdet.engine INFO: Epoch: [282] [440/732] learning_rate: 0.016000 loss_vfl: 0.890068 loss_bbox: 0.435552 loss_dfl: 0.395762 loss: 1.710732 eta: 3:20:55 batch_cost: 0.6264 data_cost: 0.0009 ips: 63.8594 images/s
[07/29 06:12:36] ppdet.engine INFO: Epoch: [282] [460/732] learning_rate: 0.016000 loss_vfl: 0.864992 loss_bbox: 0.415898 loss_dfl: 0.402174 loss: 1.692931 eta: 3:20:36 batch_cost: 0.6124 data_cost: 0.0015 ips: 65.3189 images/s
[07/29 06:12:52] ppdet.engine INFO: Epoch: [282] [480/732] learning_rate: 0.016000 loss_vfl: 0.887841 loss_bbox: 0.424530 loss_dfl: 0.406544 loss: 1.730779 eta: 3:20:17 batch_cost: 0.6865 data_cost: 0.0003 ips: 58.2704 images/s
[07/29 06:13:07] ppdet.engine INFO: Epoch: [282] [500/732] learning_rate: 0.016000 loss_vfl: 0.922679 loss_bbox: 0.447376 loss_dfl: 0.406216 loss: 1.782903 eta: 3:19:57 batch_cost: 0.6094 data_cost: 0.0010 ips: 65.6422 images/s
[07/29 06:13:23] ppdet.engine INFO: Epoch: [282] [520/732] learning_rate: 0.016000 loss_vfl: 0.901926 loss_bbox: 0.440106 loss_dfl: 0.411602 loss: 1.752667 eta: 3:19:38 batch_cost: 0.6327 data_cost: 0.0003 ips: 63.2253 images/s
[07/29 06:13:39] ppdet.engine INFO: Epoch: [282] [540/732] learning_rate: 0.016000 loss_vfl: 0.879344 loss_bbox: 0.437906 loss_dfl: 0.406650 loss: 1.726980 eta: 3:19:19 batch_cost: 0.6728 data_cost: 0.0008 ips: 59.4574 images/s
[07/29 06:13:54] ppdet.engine INFO: Epoch: [282] [560/732] learning_rate: 0.016000 loss_vfl: 0.859563 loss_bbox: 0.427893 loss_dfl: 0.393431 loss: 1.674202 eta: 3:18:59 batch_cost: 0.5733 data_cost: 0.0010 ips: 69.7656 images/s
[07/29 06:14:09] ppdet.engine INFO: Epoch: [282] [580/732] learning_rate: 0.016000 loss_vfl: 0.881937 loss_bbox: 0.425958 loss_dfl: 0.390243 loss: 1.695750 eta: 3:18:40 batch_cost: 0.6416 data_cost: 0.0003 ips: 62.3400 images/s
[07/29 06:14:24] ppdet.engine INFO: Epoch: [282] [600/732] learning_rate: 0.016000 loss_vfl: 0.911014 loss_bbox: 0.451435 loss_dfl: 0.415270 loss: 1.741015 eta: 3:18:21 batch_cost: 0.6127 data_cost: 0.0004 ips: 65.2825 images/s
[07/29 06:14:40] ppdet.engine INFO: Epoch: [282] [620/732] learning_rate: 0.016000 loss_vfl: 0.871923 loss_bbox: 0.432370 loss_dfl: 0.409183 loss: 1.691278 eta: 3:18:02 batch_cost: 0.6884 data_cost: 0.0010 ips: 58.1048 images/s
[07/29 06:14:55] ppdet.engine INFO: Epoch: [282] [640/732] learning_rate: 0.016000 loss_vfl: 0.909837 loss_bbox: 0.442326 loss_dfl: 0.411560 loss: 1.772873 eta: 3:17:42 batch_cost: 0.6121 data_cost: 0.0009 ips: 65.3456 images/s
[07/29 06:15:11] ppdet.engine INFO: Epoch: [282] [660/732] learning_rate: 0.016000 loss_vfl: 0.888497 loss_bbox: 0.424264 loss_dfl: 0.396485 loss: 1.712605 eta: 3:17:23 batch_cost: 0.6140 data_cost: 0.0007 ips: 65.1437 images/s
[07/29 06:15:26] ppdet.engine INFO: Epoch: [282] [680/732] learning_rate: 0.016000 loss_vfl: 0.923482 loss_bbox: 0.448703 loss_dfl: 0.423759 loss: 1.803229 eta: 3:17:04 batch_cost: 0.5928 data_cost: 0.0008 ips: 67.4763 images/s
[07/29 06:15:42] ppdet.engine INFO: Epoch: [282] [700/732] learning_rate: 0.016000 loss_vfl: 0.895579 loss_bbox: 0.448997 loss_dfl: 0.411955 loss: 1.762213 eta: 3:16:44 batch_cost: 0.6289 data_cost: 0.0010 ips: 63.6010 images/s
[07/29 06:15:56] ppdet.engine INFO: Epoch: [282] [720/732] learning_rate: 0.016000 loss_vfl: 0.890046 loss_bbox: 0.434732 loss_dfl: 0.411222 loss: 1.749084 eta: 3:16:25 batch_cost: 0.6010 data_cost: 0.0004 ips: 66.5605 images/s
[07/29 06:16:12] ppdet.engine INFO: Epoch: [283] [  0/732] learning_rate: 0.016000 loss_vfl: 0.898291 loss_bbox: 0.423344 loss_dfl: 0.406291 loss: 1.711195 eta: 3:16:14 batch_cost: 0.8824 data_cost: 0.2827 ips: 45.3300 images/s
[07/29 06:16:28] ppdet.engine INFO: Epoch: [283] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.877403 loss_bbox: 0.432000 loss_dfl: 0.399233 loss: 1.681094 eta: 3:15:54 batch_cost: 0.6652 data_cost: 0.0003 ips: 60.1347 images/s
[07/29 06:16:42] ppdet.engine INFO: Epoch: [283] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.959267 loss_bbox: 0.464664 loss_dfl: 0.440026 loss: 1.863036 eta: 3:15:35 batch_cost: 0.6110 data_cost: 0.0003 ips: 65.4678 images/s
[07/29 06:16:58] ppdet.engine INFO: Epoch: [283] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.900474 loss_bbox: 0.451529 loss_dfl: 0.416873 loss: 1.795443 eta: 3:15:16 batch_cost: 0.6187 data_cost: 0.0003 ips: 64.6468 images/s
[07/29 06:17:12] ppdet.engine INFO: Epoch: [283] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.903597 loss_bbox: 0.435360 loss_dfl: 0.413236 loss: 1.754989 eta: 3:14:56 batch_cost: 0.5925 data_cost: 0.0004 ips: 67.5059 images/s
[07/29 06:17:28] ppdet.engine INFO: Epoch: [283] [100/732] learning_rate: 0.016000 loss_vfl: 0.879091 loss_bbox: 0.412249 loss_dfl: 0.386141 loss: 1.681096 eta: 3:14:37 batch_cost: 0.6460 data_cost: 0.0003 ips: 61.9222 images/s
[07/29 06:17:43] ppdet.engine INFO: Epoch: [283] [120/732] learning_rate: 0.016000 loss_vfl: 0.901587 loss_bbox: 0.430497 loss_dfl: 0.405258 loss: 1.740528 eta: 3:14:18 batch_cost: 0.6396 data_cost: 0.0003 ips: 62.5397 images/s
[07/29 06:17:58] ppdet.engine INFO: Epoch: [283] [140/732] learning_rate: 0.016000 loss_vfl: 0.873097 loss_bbox: 0.442429 loss_dfl: 0.406998 loss: 1.729212 eta: 3:13:59 batch_cost: 0.6402 data_cost: 0.0010 ips: 62.4834 images/s
[07/29 06:18:14] ppdet.engine INFO: Epoch: [283] [160/732] learning_rate: 0.016000 loss_vfl: 0.906371 loss_bbox: 0.413271 loss_dfl: 0.412158 loss: 1.717787 eta: 3:13:39 batch_cost: 0.6242 data_cost: 0.0004 ips: 64.0778 images/s
[07/29 06:18:31] ppdet.engine INFO: Epoch: [283] [180/732] learning_rate: 0.016000 loss_vfl: 0.860205 loss_bbox: 0.414352 loss_dfl: 0.396167 loss: 1.666977 eta: 3:13:20 batch_cost: 0.7050 data_cost: 0.0009 ips: 56.7345 images/s
[07/29 06:18:46] ppdet.engine INFO: Epoch: [283] [200/732] learning_rate: 0.016000 loss_vfl: 0.881812 loss_bbox: 0.394718 loss_dfl: 0.389440 loss: 1.675353 eta: 3:13:01 batch_cost: 0.6320 data_cost: 0.0007 ips: 63.2890 images/s
[07/29 06:19:01] ppdet.engine INFO: Epoch: [283] [220/732] learning_rate: 0.016000 loss_vfl: 0.904430 loss_bbox: 0.455804 loss_dfl: 0.415821 loss: 1.766472 eta: 3:12:41 batch_cost: 0.6268 data_cost: 0.0003 ips: 63.8123 images/s
[07/29 06:19:16] ppdet.engine INFO: Epoch: [283] [240/732] learning_rate: 0.016000 loss_vfl: 0.864396 loss_bbox: 0.411667 loss_dfl: 0.393939 loss: 1.675392 eta: 3:12:22 batch_cost: 0.6324 data_cost: 0.0003 ips: 63.2472 images/s
[07/29 06:19:32] ppdet.engine INFO: Epoch: [283] [260/732] learning_rate: 0.016000 loss_vfl: 0.911144 loss_bbox: 0.466420 loss_dfl: 0.427512 loss: 1.819031 eta: 3:12:03 batch_cost: 0.6358 data_cost: 0.0024 ips: 62.9146 images/s
[07/29 06:19:47] ppdet.engine INFO: Epoch: [283] [280/732] learning_rate: 0.016000 loss_vfl: 0.900364 loss_bbox: 0.447883 loss_dfl: 0.409097 loss: 1.761671 eta: 3:11:44 batch_cost: 0.6239 data_cost: 0.0010 ips: 64.1095 images/s
[07/29 06:20:02] ppdet.engine INFO: Epoch: [283] [300/732] learning_rate: 0.016000 loss_vfl: 0.871481 loss_bbox: 0.420971 loss_dfl: 0.394189 loss: 1.686070 eta: 3:11:24 batch_cost: 0.6279 data_cost: 0.0016 ips: 63.7087 images/s
[07/29 06:20:18] ppdet.engine INFO: Epoch: [283] [320/732] learning_rate: 0.016000 loss_vfl: 0.876667 loss_bbox: 0.450160 loss_dfl: 0.400842 loss: 1.713933 eta: 3:11:05 batch_cost: 0.6575 data_cost: 0.0003 ips: 60.8357 images/s
[07/29 06:20:33] ppdet.engine INFO: Epoch: [283] [340/732] learning_rate: 0.016000 loss_vfl: 0.868671 loss_bbox: 0.415599 loss_dfl: 0.398523 loss: 1.674851 eta: 3:10:46 batch_cost: 0.6001 data_cost: 0.0003 ips: 66.6591 images/s
[07/29 06:20:49] ppdet.engine INFO: Epoch: [283] [360/732] learning_rate: 0.016000 loss_vfl: 0.854988 loss_bbox: 0.408694 loss_dfl: 0.383625 loss: 1.633395 eta: 3:10:26 batch_cost: 0.6680 data_cost: 0.0013 ips: 59.8793 images/s
[07/29 06:21:05] ppdet.engine INFO: Epoch: [283] [380/732] learning_rate: 0.016000 loss_vfl: 0.902254 loss_bbox: 0.444458 loss_dfl: 0.417886 loss: 1.770527 eta: 3:10:07 batch_cost: 0.6239 data_cost: 0.0003 ips: 64.1139 images/s
[07/29 06:21:20] ppdet.engine INFO: Epoch: [283] [400/732] learning_rate: 0.016000 loss_vfl: 0.850153 loss_bbox: 0.392181 loss_dfl: 0.381168 loss: 1.637413 eta: 3:09:48 batch_cost: 0.5897 data_cost: 0.0050 ips: 67.8264 images/s
[07/29 06:21:36] ppdet.engine INFO: Epoch: [283] [420/732] learning_rate: 0.016000 loss_vfl: 0.891308 loss_bbox: 0.438583 loss_dfl: 0.393862 loss: 1.724691 eta: 3:09:29 batch_cost: 0.6787 data_cost: 0.0018 ips: 58.9377 images/s
[07/29 06:21:50] ppdet.engine INFO: Epoch: [283] [440/732] learning_rate: 0.016000 loss_vfl: 0.867973 loss_bbox: 0.437931 loss_dfl: 0.404798 loss: 1.716469 eta: 3:09:09 batch_cost: 0.5618 data_cost: 0.0003 ips: 71.2023 images/s
[07/29 06:22:04] ppdet.engine INFO: Epoch: [283] [460/732] learning_rate: 0.016000 loss_vfl: 0.888190 loss_bbox: 0.439630 loss_dfl: 0.401977 loss: 1.713858 eta: 3:08:50 batch_cost: 0.5607 data_cost: 0.0003 ips: 71.3331 images/s
[07/29 06:22:19] ppdet.engine INFO: Epoch: [283] [480/732] learning_rate: 0.016000 loss_vfl: 0.898820 loss_bbox: 0.442611 loss_dfl: 0.404379 loss: 1.743581 eta: 3:08:31 batch_cost: 0.6357 data_cost: 0.0003 ips: 62.9186 images/s
[07/29 06:22:34] ppdet.engine INFO: Epoch: [283] [500/732] learning_rate: 0.016000 loss_vfl: 0.877133 loss_bbox: 0.432391 loss_dfl: 0.398888 loss: 1.710066 eta: 3:08:11 batch_cost: 0.6093 data_cost: 0.0009 ips: 65.6534 images/s
[07/29 06:22:49] ppdet.engine INFO: Epoch: [283] [520/732] learning_rate: 0.016000 loss_vfl: 0.890744 loss_bbox: 0.440766 loss_dfl: 0.401258 loss: 1.728715 eta: 3:07:52 batch_cost: 0.6233 data_cost: 0.0003 ips: 64.1762 images/s
[07/29 06:23:04] ppdet.engine INFO: Epoch: [283] [540/732] learning_rate: 0.016000 loss_vfl: 0.953307 loss_bbox: 0.445910 loss_dfl: 0.424190 loss: 1.842956 eta: 3:07:33 batch_cost: 0.6241 data_cost: 0.0051 ips: 64.0952 images/s
[07/29 06:23:20] ppdet.engine INFO: Epoch: [283] [560/732] learning_rate: 0.016000 loss_vfl: 0.902506 loss_bbox: 0.432343 loss_dfl: 0.408659 loss: 1.745681 eta: 3:07:14 batch_cost: 0.6521 data_cost: 0.0003 ips: 61.3420 images/s
[07/29 06:23:35] ppdet.engine INFO: Epoch: [283] [580/732] learning_rate: 0.016000 loss_vfl: 0.904531 loss_bbox: 0.447626 loss_dfl: 0.417216 loss: 1.782038 eta: 3:06:54 batch_cost: 0.6171 data_cost: 0.0010 ips: 64.8151 images/s
[07/29 06:23:50] ppdet.engine INFO: Epoch: [283] [600/732] learning_rate: 0.016000 loss_vfl: 0.935619 loss_bbox: 0.459149 loss_dfl: 0.424854 loss: 1.840682 eta: 3:06:35 batch_cost: 0.5932 data_cost: 0.0011 ips: 67.4352 images/s
[07/29 06:24:05] ppdet.engine INFO: Epoch: [283] [620/732] learning_rate: 0.016000 loss_vfl: 0.927821 loss_bbox: 0.443076 loss_dfl: 0.418708 loss: 1.797392 eta: 3:06:16 batch_cost: 0.6554 data_cost: 0.0003 ips: 61.0343 images/s
[07/29 06:24:20] ppdet.engine INFO: Epoch: [283] [640/732] learning_rate: 0.016000 loss_vfl: 0.905003 loss_bbox: 0.453613 loss_dfl: 0.428342 loss: 1.798786 eta: 3:05:56 batch_cost: 0.6125 data_cost: 0.0020 ips: 65.3049 images/s
[07/29 06:24:36] ppdet.engine INFO: Epoch: [283] [660/732] learning_rate: 0.016000 loss_vfl: 0.871944 loss_bbox: 0.432948 loss_dfl: 0.387237 loss: 1.683262 eta: 3:05:37 batch_cost: 0.6360 data_cost: 0.0004 ips: 62.8882 images/s
[07/29 06:24:51] ppdet.engine INFO: Epoch: [283] [680/732] learning_rate: 0.016000 loss_vfl: 0.921377 loss_bbox: 0.442482 loss_dfl: 0.414641 loss: 1.796971 eta: 3:05:18 batch_cost: 0.6161 data_cost: 0.0003 ips: 64.9277 images/s
[07/29 06:25:06] ppdet.engine INFO: Epoch: [283] [700/732] learning_rate: 0.016000 loss_vfl: 0.938078 loss_bbox: 0.460645 loss_dfl: 0.427843 loss: 1.834877 eta: 3:04:59 batch_cost: 0.6236 data_cost: 0.0010 ips: 64.1396 images/s
[07/29 06:25:21] ppdet.engine INFO: Epoch: [283] [720/732] learning_rate: 0.016000 loss_vfl: 0.894027 loss_bbox: 0.413224 loss_dfl: 0.398777 loss: 1.701707 eta: 3:04:39 batch_cost: 0.6141 data_cost: 0.0019 ips: 65.1393 images/s
[07/29 06:25:36] ppdet.engine INFO: Epoch: [284] [  0/732] learning_rate: 0.016000 loss_vfl: 0.914202 loss_bbox: 0.454519 loss_dfl: 0.425837 loss: 1.816976 eta: 3:04:28 batch_cost: 0.8977 data_cost: 0.2509 ips: 44.5570 images/s
[07/29 06:25:54] ppdet.engine INFO: Epoch: [284] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.842678 loss_bbox: 0.407093 loss_dfl: 0.382033 loss: 1.600859 eta: 3:04:09 batch_cost: 0.7484 data_cost: 0.0003 ips: 53.4446 images/s
[07/29 06:26:09] ppdet.engine INFO: Epoch: [284] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.920916 loss_bbox: 0.450958 loss_dfl: 0.419747 loss: 1.783439 eta: 3:03:50 batch_cost: 0.6168 data_cost: 0.0011 ips: 64.8557 images/s
[07/29 06:26:24] ppdet.engine INFO: Epoch: [284] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.902867 loss_bbox: 0.436270 loss_dfl: 0.400345 loss: 1.736596 eta: 3:03:30 batch_cost: 0.6122 data_cost: 0.0030 ips: 65.3370 images/s
[07/29 06:26:40] ppdet.engine INFO: Epoch: [284] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.869076 loss_bbox: 0.437826 loss_dfl: 0.397167 loss: 1.697426 eta: 3:03:11 batch_cost: 0.6616 data_cost: 0.0009 ips: 60.4616 images/s
[07/29 06:26:56] ppdet.engine INFO: Epoch: [284] [100/732] learning_rate: 0.016000 loss_vfl: 0.904339 loss_bbox: 0.418840 loss_dfl: 0.399086 loss: 1.704018 eta: 3:02:52 batch_cost: 0.6437 data_cost: 0.0004 ips: 62.1445 images/s
[07/29 06:27:12] ppdet.engine INFO: Epoch: [284] [120/732] learning_rate: 0.016000 loss_vfl: 0.885441 loss_bbox: 0.427871 loss_dfl: 0.396998 loss: 1.687432 eta: 3:02:33 batch_cost: 0.6619 data_cost: 0.0003 ips: 60.4277 images/s
[07/29 06:27:26] ppdet.engine INFO: Epoch: [284] [140/732] learning_rate: 0.016000 loss_vfl: 0.863078 loss_bbox: 0.434321 loss_dfl: 0.402781 loss: 1.707964 eta: 3:02:14 batch_cost: 0.6220 data_cost: 0.0004 ips: 64.3138 images/s
[07/29 06:27:42] ppdet.engine INFO: Epoch: [284] [160/732] learning_rate: 0.016000 loss_vfl: 0.887439 loss_bbox: 0.430334 loss_dfl: 0.405253 loss: 1.721350 eta: 3:01:54 batch_cost: 0.6484 data_cost: 0.0004 ips: 61.6887 images/s
[07/29 06:27:57] ppdet.engine INFO: Epoch: [284] [180/732] learning_rate: 0.016000 loss_vfl: 0.862309 loss_bbox: 0.446766 loss_dfl: 0.402255 loss: 1.720470 eta: 3:01:35 batch_cost: 0.6198 data_cost: 0.0004 ips: 64.5342 images/s
[07/29 06:28:13] ppdet.engine INFO: Epoch: [284] [200/732] learning_rate: 0.016000 loss_vfl: 0.902811 loss_bbox: 0.426351 loss_dfl: 0.411352 loss: 1.729996 eta: 3:01:16 batch_cost: 0.6630 data_cost: 0.0010 ips: 60.3285 images/s
[07/29 06:28:29] ppdet.engine INFO: Epoch: [284] [220/732] learning_rate: 0.016000 loss_vfl: 0.889942 loss_bbox: 0.444685 loss_dfl: 0.410226 loss: 1.734676 eta: 3:00:57 batch_cost: 0.6305 data_cost: 0.0009 ips: 63.4453 images/s
[07/29 06:28:45] ppdet.engine INFO: Epoch: [284] [240/732] learning_rate: 0.016000 loss_vfl: 0.850593 loss_bbox: 0.414899 loss_dfl: 0.382952 loss: 1.672885 eta: 3:00:37 batch_cost: 0.6466 data_cost: 0.0004 ips: 61.8637 images/s
[07/29 06:29:01] ppdet.engine INFO: Epoch: [284] [260/732] learning_rate: 0.016000 loss_vfl: 0.869345 loss_bbox: 0.425502 loss_dfl: 0.400286 loss: 1.698189 eta: 3:00:18 batch_cost: 0.6743 data_cost: 0.0005 ips: 59.3218 images/s
[07/29 06:29:17] ppdet.engine INFO: Epoch: [284] [280/732] learning_rate: 0.016000 loss_vfl: 0.873715 loss_bbox: 0.439028 loss_dfl: 0.406885 loss: 1.712483 eta: 2:59:59 batch_cost: 0.6729 data_cost: 0.0011 ips: 59.4415 images/s
[07/29 06:29:33] ppdet.engine INFO: Epoch: [284] [300/732] learning_rate: 0.016000 loss_vfl: 0.878306 loss_bbox: 0.424869 loss_dfl: 0.399069 loss: 1.706822 eta: 2:59:40 batch_cost: 0.6699 data_cost: 0.0006 ips: 59.7091 images/s
[07/29 06:29:49] ppdet.engine INFO: Epoch: [284] [320/732] learning_rate: 0.016000 loss_vfl: 0.868972 loss_bbox: 0.434248 loss_dfl: 0.405359 loss: 1.705650 eta: 2:59:21 batch_cost: 0.6488 data_cost: 0.0011 ips: 61.6521 images/s
[07/29 06:30:04] ppdet.engine INFO: Epoch: [284] [340/732] learning_rate: 0.016000 loss_vfl: 0.893572 loss_bbox: 0.434227 loss_dfl: 0.400806 loss: 1.734514 eta: 2:59:01 batch_cost: 0.6315 data_cost: 0.0004 ips: 63.3362 images/s
[07/29 06:30:19] ppdet.engine INFO: Epoch: [284] [360/732] learning_rate: 0.016000 loss_vfl: 0.861758 loss_bbox: 0.430825 loss_dfl: 0.396248 loss: 1.668335 eta: 2:58:42 batch_cost: 0.6165 data_cost: 0.0041 ips: 64.8816 images/s
[07/29 06:30:35] ppdet.engine INFO: Epoch: [284] [380/732] learning_rate: 0.016000 loss_vfl: 0.886671 loss_bbox: 0.440411 loss_dfl: 0.401444 loss: 1.753602 eta: 2:58:23 batch_cost: 0.6065 data_cost: 0.0005 ips: 65.9507 images/s
[07/29 06:30:52] ppdet.engine INFO: Epoch: [284] [400/732] learning_rate: 0.016000 loss_vfl: 0.905360 loss_bbox: 0.448932 loss_dfl: 0.421519 loss: 1.781419 eta: 2:58:04 batch_cost: 0.6901 data_cost: 0.0006 ips: 57.9631 images/s
[07/29 06:31:07] ppdet.engine INFO: Epoch: [284] [420/732] learning_rate: 0.016000 loss_vfl: 0.867210 loss_bbox: 0.422581 loss_dfl: 0.393051 loss: 1.676141 eta: 2:57:44 batch_cost: 0.6353 data_cost: 0.0004 ips: 62.9601 images/s
[07/29 06:31:22] ppdet.engine INFO: Epoch: [284] [440/732] learning_rate: 0.016000 loss_vfl: 0.835790 loss_bbox: 0.407184 loss_dfl: 0.385400 loss: 1.619534 eta: 2:57:25 batch_cost: 0.6118 data_cost: 0.0005 ips: 65.3860 images/s
[07/29 06:31:38] ppdet.engine INFO: Epoch: [284] [460/732] learning_rate: 0.016000 loss_vfl: 0.844829 loss_bbox: 0.413925 loss_dfl: 0.392323 loss: 1.653779 eta: 2:57:06 batch_cost: 0.6785 data_cost: 0.0010 ips: 58.9539 images/s
[07/29 06:31:55] ppdet.engine INFO: Epoch: [284] [480/732] learning_rate: 0.016000 loss_vfl: 0.936059 loss_bbox: 0.443012 loss_dfl: 0.421703 loss: 1.793920 eta: 2:56:47 batch_cost: 0.6775 data_cost: 0.0010 ips: 59.0448 images/s
[07/29 06:32:10] ppdet.engine INFO: Epoch: [284] [500/732] learning_rate: 0.016000 loss_vfl: 0.916273 loss_bbox: 0.457352 loss_dfl: 0.415215 loss: 1.780954 eta: 2:56:28 batch_cost: 0.6483 data_cost: 0.0003 ips: 61.7021 images/s
[07/29 06:32:25] ppdet.engine INFO: Epoch: [284] [520/732] learning_rate: 0.016000 loss_vfl: 0.908833 loss_bbox: 0.447011 loss_dfl: 0.410824 loss: 1.768480 eta: 2:56:08 batch_cost: 0.6178 data_cost: 0.0003 ips: 64.7427 images/s
[07/29 06:32:41] ppdet.engine INFO: Epoch: [284] [540/732] learning_rate: 0.016000 loss_vfl: 0.890761 loss_bbox: 0.428947 loss_dfl: 0.400817 loss: 1.732298 eta: 2:55:49 batch_cost: 0.6809 data_cost: 0.0022 ips: 58.7468 images/s
[07/29 06:32:57] ppdet.engine INFO: Epoch: [284] [560/732] learning_rate: 0.016000 loss_vfl: 0.878727 loss_bbox: 0.422441 loss_dfl: 0.398599 loss: 1.697742 eta: 2:55:30 batch_cost: 0.6414 data_cost: 0.0004 ips: 62.3663 images/s
[07/29 06:33:13] ppdet.engine INFO: Epoch: [284] [580/732] learning_rate: 0.016000 loss_vfl: 0.870490 loss_bbox: 0.430913 loss_dfl: 0.395946 loss: 1.687073 eta: 2:55:11 batch_cost: 0.6547 data_cost: 0.0013 ips: 61.0970 images/s
[07/29 06:33:28] ppdet.engine INFO: Epoch: [284] [600/732] learning_rate: 0.016000 loss_vfl: 0.918627 loss_bbox: 0.463247 loss_dfl: 0.430447 loss: 1.834079 eta: 2:54:52 batch_cost: 0.6601 data_cost: 0.0004 ips: 60.5963 images/s
[07/29 06:33:44] ppdet.engine INFO: Epoch: [284] [620/732] learning_rate: 0.016000 loss_vfl: 0.848829 loss_bbox: 0.424633 loss_dfl: 0.390828 loss: 1.682009 eta: 2:54:32 batch_cost: 0.6592 data_cost: 0.0009 ips: 60.6793 images/s
[07/29 06:34:00] ppdet.engine INFO: Epoch: [284] [640/732] learning_rate: 0.016000 loss_vfl: 0.888485 loss_bbox: 0.435653 loss_dfl: 0.422627 loss: 1.742281 eta: 2:54:13 batch_cost: 0.6626 data_cost: 0.0008 ips: 60.3667 images/s
[07/29 06:34:15] ppdet.engine INFO: Epoch: [284] [660/732] learning_rate: 0.016000 loss_vfl: 0.874202 loss_bbox: 0.433149 loss_dfl: 0.395163 loss: 1.710267 eta: 2:53:54 batch_cost: 0.5964 data_cost: 0.0003 ips: 67.0660 images/s
[07/29 06:34:31] ppdet.engine INFO: Epoch: [284] [680/732] learning_rate: 0.016000 loss_vfl: 0.905850 loss_bbox: 0.453603 loss_dfl: 0.413906 loss: 1.774282 eta: 2:53:35 batch_cost: 0.6692 data_cost: 0.0003 ips: 59.7745 images/s
[07/29 06:34:45] ppdet.engine INFO: Epoch: [284] [700/732] learning_rate: 0.016000 loss_vfl: 0.901326 loss_bbox: 0.441146 loss_dfl: 0.405190 loss: 1.756335 eta: 2:53:16 batch_cost: 0.6067 data_cost: 0.0003 ips: 65.9269 images/s
[07/29 06:35:00] ppdet.engine INFO: Epoch: [284] [720/732] learning_rate: 0.016000 loss_vfl: 0.895623 loss_bbox: 0.413615 loss_dfl: 0.400821 loss: 1.715466 eta: 2:52:56 batch_cost: 0.6052 data_cost: 0.0004 ips: 66.0986 images/s
[07/29 06:35:15] ppdet.engine INFO: Epoch: [285] [  0/732] learning_rate: 0.016000 loss_vfl: 0.878685 loss_bbox: 0.415184 loss_dfl: 0.398617 loss: 1.689973 eta: 2:52:45 batch_cost: 0.8473 data_cost: 0.2694 ips: 47.2112 images/s
[07/29 06:35:33] ppdet.engine INFO: Epoch: [285] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.849725 loss_bbox: 0.404432 loss_dfl: 0.383876 loss: 1.629824 eta: 2:52:26 batch_cost: 0.7743 data_cost: 0.0007 ips: 51.6577 images/s
[07/29 06:35:49] ppdet.engine INFO: Epoch: [285] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.916855 loss_bbox: 0.448076 loss_dfl: 0.421755 loss: 1.798029 eta: 2:52:07 batch_cost: 0.6528 data_cost: 0.0004 ips: 61.2745 images/s
[07/29 06:36:05] ppdet.engine INFO: Epoch: [285] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.924019 loss_bbox: 0.459300 loss_dfl: 0.414795 loss: 1.806180 eta: 2:51:48 batch_cost: 0.6510 data_cost: 0.0004 ips: 61.4466 images/s
[07/29 06:36:20] ppdet.engine INFO: Epoch: [285] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.916515 loss_bbox: 0.431948 loss_dfl: 0.407058 loss: 1.767048 eta: 2:51:28 batch_cost: 0.6133 data_cost: 0.0003 ips: 65.2201 images/s
[07/29 06:36:35] ppdet.engine INFO: Epoch: [285] [100/732] learning_rate: 0.016000 loss_vfl: 0.856704 loss_bbox: 0.420661 loss_dfl: 0.393354 loss: 1.656889 eta: 2:51:09 batch_cost: 0.6199 data_cost: 0.0003 ips: 64.5251 images/s
[07/29 06:36:50] ppdet.engine INFO: Epoch: [285] [120/732] learning_rate: 0.016000 loss_vfl: 0.874241 loss_bbox: 0.439367 loss_dfl: 0.394829 loss: 1.698035 eta: 2:50:50 batch_cost: 0.6080 data_cost: 0.0007 ips: 65.7887 images/s
[07/29 06:37:05] ppdet.engine INFO: Epoch: [285] [140/732] learning_rate: 0.016000 loss_vfl: 0.940220 loss_bbox: 0.445893 loss_dfl: 0.429210 loss: 1.807971 eta: 2:50:31 batch_cost: 0.6264 data_cost: 0.0004 ips: 63.8574 images/s
[07/29 06:37:20] ppdet.engine INFO: Epoch: [285] [160/732] learning_rate: 0.016000 loss_vfl: 0.915475 loss_bbox: 0.468869 loss_dfl: 0.424703 loss: 1.803157 eta: 2:50:12 batch_cost: 0.6449 data_cost: 0.0003 ips: 62.0279 images/s
[07/29 06:37:36] ppdet.engine INFO: Epoch: [285] [180/732] learning_rate: 0.016000 loss_vfl: 0.919494 loss_bbox: 0.453946 loss_dfl: 0.414834 loss: 1.820787 eta: 2:49:52 batch_cost: 0.6474 data_cost: 0.0003 ips: 61.7890 images/s
[07/29 06:37:52] ppdet.engine INFO: Epoch: [285] [200/732] learning_rate: 0.016000 loss_vfl: 0.979591 loss_bbox: 0.504131 loss_dfl: 0.449703 loss: 1.952569 eta: 2:49:33 batch_cost: 0.6450 data_cost: 0.0029 ips: 62.0141 images/s
[07/29 06:38:08] ppdet.engine INFO: Epoch: [285] [220/732] learning_rate: 0.016000 loss_vfl: 0.854264 loss_bbox: 0.411281 loss_dfl: 0.383923 loss: 1.645953 eta: 2:49:14 batch_cost: 0.6623 data_cost: 0.0003 ips: 60.3974 images/s
[07/29 06:38:22] ppdet.engine INFO: Epoch: [285] [240/732] learning_rate: 0.016000 loss_vfl: 0.879127 loss_bbox: 0.431370 loss_dfl: 0.402746 loss: 1.720742 eta: 2:48:55 batch_cost: 0.5870 data_cost: 0.0029 ips: 68.1379 images/s
[07/29 06:38:38] ppdet.engine INFO: Epoch: [285] [260/732] learning_rate: 0.016000 loss_vfl: 0.911207 loss_bbox: 0.439431 loss_dfl: 0.409524 loss: 1.782908 eta: 2:48:36 batch_cost: 0.6418 data_cost: 0.0011 ips: 62.3211 images/s
[07/29 06:38:53] ppdet.engine INFO: Epoch: [285] [280/732] learning_rate: 0.016000 loss_vfl: 0.884960 loss_bbox: 0.438593 loss_dfl: 0.408632 loss: 1.737870 eta: 2:48:16 batch_cost: 0.6237 data_cost: 0.0028 ips: 64.1337 images/s
[07/29 06:39:09] ppdet.engine INFO: Epoch: [285] [300/732] learning_rate: 0.016000 loss_vfl: 0.844120 loss_bbox: 0.412981 loss_dfl: 0.384249 loss: 1.646813 eta: 2:47:57 batch_cost: 0.6286 data_cost: 0.0004 ips: 63.6289 images/s
[07/29 06:39:23] ppdet.engine INFO: Epoch: [285] [320/732] learning_rate: 0.016000 loss_vfl: 0.860228 loss_bbox: 0.438622 loss_dfl: 0.397351 loss: 1.699861 eta: 2:47:38 batch_cost: 0.5831 data_cost: 0.0010 ips: 68.5946 images/s
[07/29 06:39:39] ppdet.engine INFO: Epoch: [285] [340/732] learning_rate: 0.016000 loss_vfl: 0.910016 loss_bbox: 0.453175 loss_dfl: 0.412690 loss: 1.758114 eta: 2:47:19 batch_cost: 0.6645 data_cost: 0.0003 ips: 60.1978 images/s
[07/29 06:39:55] ppdet.engine INFO: Epoch: [285] [360/732] learning_rate: 0.016000 loss_vfl: 0.862447 loss_bbox: 0.421706 loss_dfl: 0.394366 loss: 1.695380 eta: 2:47:00 batch_cost: 0.6793 data_cost: 0.0003 ips: 58.8817 images/s
[07/29 06:40:11] ppdet.engine INFO: Epoch: [285] [380/732] learning_rate: 0.016000 loss_vfl: 0.852411 loss_bbox: 0.402615 loss_dfl: 0.384070 loss: 1.626999 eta: 2:46:41 batch_cost: 0.6929 data_cost: 0.0003 ips: 57.7293 images/s
[07/29 06:40:26] ppdet.engine INFO: Epoch: [285] [400/732] learning_rate: 0.016000 loss_vfl: 0.905038 loss_bbox: 0.456317 loss_dfl: 0.421937 loss: 1.787442 eta: 2:46:21 batch_cost: 0.6381 data_cost: 0.0003 ips: 62.6908 images/s
[07/29 06:40:41] ppdet.engine INFO: Epoch: [285] [420/732] learning_rate: 0.016000 loss_vfl: 0.858148 loss_bbox: 0.429681 loss_dfl: 0.385929 loss: 1.673498 eta: 2:46:02 batch_cost: 0.6080 data_cost: 0.0003 ips: 65.7889 images/s
[07/29 06:40:56] ppdet.engine INFO: Epoch: [285] [440/732] learning_rate: 0.016000 loss_vfl: 0.885098 loss_bbox: 0.415117 loss_dfl: 0.397519 loss: 1.709585 eta: 2:45:43 batch_cost: 0.6195 data_cost: 0.0003 ips: 64.5732 images/s
[07/29 06:41:12] ppdet.engine INFO: Epoch: [285] [460/732] learning_rate: 0.016000 loss_vfl: 0.872841 loss_bbox: 0.434822 loss_dfl: 0.398561 loss: 1.716260 eta: 2:45:24 batch_cost: 0.6517 data_cost: 0.0003 ips: 61.3738 images/s
[07/29 06:41:26] ppdet.engine INFO: Epoch: [285] [480/732] learning_rate: 0.016000 loss_vfl: 0.911111 loss_bbox: 0.424078 loss_dfl: 0.402639 loss: 1.723843 eta: 2:45:05 batch_cost: 0.5825 data_cost: 0.0003 ips: 68.6702 images/s
[07/29 06:41:42] ppdet.engine INFO: Epoch: [285] [500/732] learning_rate: 0.016000 loss_vfl: 0.877344 loss_bbox: 0.408643 loss_dfl: 0.385387 loss: 1.665719 eta: 2:44:45 batch_cost: 0.6573 data_cost: 0.0015 ips: 60.8568 images/s
[07/29 06:41:57] ppdet.engine INFO: Epoch: [285] [520/732] learning_rate: 0.016000 loss_vfl: 0.893259 loss_bbox: 0.438889 loss_dfl: 0.406860 loss: 1.738634 eta: 2:44:26 batch_cost: 0.6153 data_cost: 0.0010 ips: 65.0048 images/s
[07/29 06:42:13] ppdet.engine INFO: Epoch: [285] [540/732] learning_rate: 0.016000 loss_vfl: 0.864304 loss_bbox: 0.402339 loss_dfl: 0.391599 loss: 1.670953 eta: 2:44:07 batch_cost: 0.6633 data_cost: 0.0014 ips: 60.3055 images/s
[07/29 06:42:29] ppdet.engine INFO: Epoch: [285] [560/732] learning_rate: 0.016000 loss_vfl: 0.918179 loss_bbox: 0.454696 loss_dfl: 0.414445 loss: 1.786692 eta: 2:43:48 batch_cost: 0.6645 data_cost: 0.0021 ips: 60.1916 images/s
[07/29 06:42:44] ppdet.engine INFO: Epoch: [285] [580/732] learning_rate: 0.016000 loss_vfl: 0.859012 loss_bbox: 0.441233 loss_dfl: 0.397742 loss: 1.685949 eta: 2:43:29 batch_cost: 0.6250 data_cost: 0.0009 ips: 63.9981 images/s
[07/29 06:43:00] ppdet.engine INFO: Epoch: [285] [600/732] learning_rate: 0.016000 loss_vfl: 0.870287 loss_bbox: 0.434266 loss_dfl: 0.392040 loss: 1.704710 eta: 2:43:10 batch_cost: 0.6041 data_cost: 0.0008 ips: 66.2128 images/s
[07/29 06:43:15] ppdet.engine INFO: Epoch: [285] [620/732] learning_rate: 0.016000 loss_vfl: 0.860459 loss_bbox: 0.411608 loss_dfl: 0.381111 loss: 1.652837 eta: 2:42:50 batch_cost: 0.6506 data_cost: 0.0009 ips: 61.4862 images/s
[07/29 06:43:31] ppdet.engine INFO: Epoch: [285] [640/732] learning_rate: 0.016000 loss_vfl: 0.894432 loss_bbox: 0.452737 loss_dfl: 0.416717 loss: 1.738164 eta: 2:42:31 batch_cost: 0.6368 data_cost: 0.0003 ips: 62.8109 images/s
[07/29 06:43:46] ppdet.engine INFO: Epoch: [285] [660/732] learning_rate: 0.016000 loss_vfl: 0.843684 loss_bbox: 0.409520 loss_dfl: 0.380987 loss: 1.634431 eta: 2:42:12 batch_cost: 0.6233 data_cost: 0.0013 ips: 64.1715 images/s
[07/29 06:44:03] ppdet.engine INFO: Epoch: [285] [680/732] learning_rate: 0.016000 loss_vfl: 0.889951 loss_bbox: 0.429566 loss_dfl: 0.407027 loss: 1.715805 eta: 2:41:53 batch_cost: 0.6984 data_cost: 0.0003 ips: 57.2773 images/s
[07/29 06:44:18] ppdet.engine INFO: Epoch: [285] [700/732] learning_rate: 0.016000 loss_vfl: 0.859598 loss_bbox: 0.401115 loss_dfl: 0.386902 loss: 1.656391 eta: 2:41:34 batch_cost: 0.6679 data_cost: 0.0009 ips: 59.8904 images/s
[07/29 06:44:33] ppdet.engine INFO: Epoch: [285] [720/732] learning_rate: 0.016000 loss_vfl: 0.896620 loss_bbox: 0.462366 loss_dfl: 0.412430 loss: 1.748321 eta: 2:41:15 batch_cost: 0.6430 data_cost: 0.0017 ips: 62.2094 images/s
[07/29 06:44:49] ppdet.engine INFO: Epoch: [286] [  0/732] learning_rate: 0.016000 loss_vfl: 0.860718 loss_bbox: 0.428007 loss_dfl: 0.407912 loss: 1.711841 eta: 2:41:03 batch_cost: 0.9085 data_cost: 0.2762 ips: 44.0308 images/s
[07/29 06:45:06] ppdet.engine INFO: Epoch: [286] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.908751 loss_bbox: 0.422899 loss_dfl: 0.405011 loss: 1.751442 eta: 2:40:44 batch_cost: 0.6654 data_cost: 0.0002 ips: 60.1134 images/s
[07/29 06:45:22] ppdet.engine INFO: Epoch: [286] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.882717 loss_bbox: 0.456390 loss_dfl: 0.412149 loss: 1.738699 eta: 2:40:25 batch_cost: 0.6721 data_cost: 0.0003 ips: 59.5158 images/s
[07/29 06:45:39] ppdet.engine INFO: Epoch: [286] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.879465 loss_bbox: 0.441457 loss_dfl: 0.397466 loss: 1.723894 eta: 2:40:06 batch_cost: 0.7071 data_cost: 0.0003 ips: 56.5681 images/s
[07/29 06:45:55] ppdet.engine INFO: Epoch: [286] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.925029 loss_bbox: 0.441306 loss_dfl: 0.413034 loss: 1.770151 eta: 2:39:47 batch_cost: 0.6800 data_cost: 0.0013 ips: 58.8252 images/s
[07/29 06:46:11] ppdet.engine INFO: Epoch: [286] [100/732] learning_rate: 0.016000 loss_vfl: 0.914512 loss_bbox: 0.441009 loss_dfl: 0.407894 loss: 1.748417 eta: 2:39:28 batch_cost: 0.6495 data_cost: 0.0003 ips: 61.5901 images/s
[07/29 06:46:27] ppdet.engine INFO: Epoch: [286] [120/732] learning_rate: 0.016000 loss_vfl: 0.897625 loss_bbox: 0.428323 loss_dfl: 0.405999 loss: 1.732451 eta: 2:39:09 batch_cost: 0.6385 data_cost: 0.0003 ips: 62.6465 images/s
[07/29 06:46:41] ppdet.engine INFO: Epoch: [286] [140/732] learning_rate: 0.016000 loss_vfl: 0.855153 loss_bbox: 0.433002 loss_dfl: 0.390734 loss: 1.666132 eta: 2:38:50 batch_cost: 0.6194 data_cost: 0.0031 ips: 64.5748 images/s
[07/29 06:46:57] ppdet.engine INFO: Epoch: [286] [160/732] learning_rate: 0.016000 loss_vfl: 0.903188 loss_bbox: 0.435987 loss_dfl: 0.405782 loss: 1.725913 eta: 2:38:30 batch_cost: 0.6655 data_cost: 0.0003 ips: 60.1085 images/s
[07/29 06:47:14] ppdet.engine INFO: Epoch: [286] [180/732] learning_rate: 0.016000 loss_vfl: 0.910760 loss_bbox: 0.437954 loss_dfl: 0.412935 loss: 1.765141 eta: 2:38:11 batch_cost: 0.6772 data_cost: 0.0009 ips: 59.0680 images/s
[07/29 06:47:30] ppdet.engine INFO: Epoch: [286] [200/732] learning_rate: 0.016000 loss_vfl: 0.888983 loss_bbox: 0.445280 loss_dfl: 0.412991 loss: 1.721199 eta: 2:37:52 batch_cost: 0.6297 data_cost: 0.0003 ips: 63.5259 images/s
[07/29 06:47:46] ppdet.engine INFO: Epoch: [286] [220/732] learning_rate: 0.016000 loss_vfl: 0.911861 loss_bbox: 0.424601 loss_dfl: 0.414111 loss: 1.747354 eta: 2:37:33 batch_cost: 0.6352 data_cost: 0.0009 ips: 62.9728 images/s
[07/29 06:48:00] ppdet.engine INFO: Epoch: [286] [240/732] learning_rate: 0.016000 loss_vfl: 0.821892 loss_bbox: 0.409945 loss_dfl: 0.374230 loss: 1.601340 eta: 2:37:14 batch_cost: 0.6019 data_cost: 0.0003 ips: 66.4612 images/s
[07/29 06:48:16] ppdet.engine INFO: Epoch: [286] [260/732] learning_rate: 0.016000 loss_vfl: 0.857990 loss_bbox: 0.427969 loss_dfl: 0.399613 loss: 1.689841 eta: 2:36:55 batch_cost: 0.6499 data_cost: 0.0003 ips: 61.5505 images/s
[07/29 06:48:32] ppdet.engine INFO: Epoch: [286] [280/732] learning_rate: 0.016000 loss_vfl: 0.882326 loss_bbox: 0.453989 loss_dfl: 0.412020 loss: 1.751295 eta: 2:36:36 batch_cost: 0.6480 data_cost: 0.0008 ips: 61.7254 images/s
[07/29 06:48:47] ppdet.engine INFO: Epoch: [286] [300/732] learning_rate: 0.016000 loss_vfl: 0.895365 loss_bbox: 0.435079 loss_dfl: 0.411910 loss: 1.737987 eta: 2:36:16 batch_cost: 0.6180 data_cost: 0.0003 ips: 64.7215 images/s
[07/29 06:49:02] ppdet.engine INFO: Epoch: [286] [320/732] learning_rate: 0.016000 loss_vfl: 0.930613 loss_bbox: 0.480381 loss_dfl: 0.436302 loss: 1.840828 eta: 2:35:57 batch_cost: 0.6093 data_cost: 0.0003 ips: 65.6476 images/s
[07/29 06:49:17] ppdet.engine INFO: Epoch: [286] [340/732] learning_rate: 0.016000 loss_vfl: 0.849533 loss_bbox: 0.411333 loss_dfl: 0.384497 loss: 1.630148 eta: 2:35:38 batch_cost: 0.6259 data_cost: 0.0003 ips: 63.9065 images/s
[07/29 06:49:33] ppdet.engine INFO: Epoch: [286] [360/732] learning_rate: 0.016000 loss_vfl: 0.875448 loss_bbox: 0.426869 loss_dfl: 0.414120 loss: 1.711712 eta: 2:35:19 batch_cost: 0.6207 data_cost: 0.0003 ips: 64.4445 images/s
[07/29 06:49:49] ppdet.engine INFO: Epoch: [286] [380/732] learning_rate: 0.016000 loss_vfl: 0.895406 loss_bbox: 0.429098 loss_dfl: 0.397821 loss: 1.722514 eta: 2:35:00 batch_cost: 0.6350 data_cost: 0.0008 ips: 62.9901 images/s
[07/29 06:50:04] ppdet.engine INFO: Epoch: [286] [400/732] learning_rate: 0.016000 loss_vfl: 0.953502 loss_bbox: 0.462539 loss_dfl: 0.420029 loss: 1.828741 eta: 2:34:41 batch_cost: 0.5976 data_cost: 0.0009 ips: 66.9347 images/s
[07/29 06:50:18] ppdet.engine INFO: Epoch: [286] [420/732] learning_rate: 0.016000 loss_vfl: 0.886595 loss_bbox: 0.438521 loss_dfl: 0.396224 loss: 1.728640 eta: 2:34:21 batch_cost: 0.5758 data_cost: 0.0008 ips: 69.4671 images/s
[07/29 06:50:34] ppdet.engine INFO: Epoch: [286] [440/732] learning_rate: 0.016000 loss_vfl: 0.864184 loss_bbox: 0.417954 loss_dfl: 0.385800 loss: 1.669782 eta: 2:34:02 batch_cost: 0.6481 data_cost: 0.0007 ips: 61.7185 images/s
[07/29 06:50:49] ppdet.engine INFO: Epoch: [286] [460/732] learning_rate: 0.016000 loss_vfl: 0.939801 loss_bbox: 0.457678 loss_dfl: 0.428920 loss: 1.853792 eta: 2:33:43 batch_cost: 0.6232 data_cost: 0.0004 ips: 64.1857 images/s
[07/29 06:51:04] ppdet.engine INFO: Epoch: [286] [480/732] learning_rate: 0.016000 loss_vfl: 0.864100 loss_bbox: 0.411175 loss_dfl: 0.385501 loss: 1.652826 eta: 2:33:24 batch_cost: 0.6082 data_cost: 0.0007 ips: 65.7635 images/s
[07/29 06:51:20] ppdet.engine INFO: Epoch: [286] [500/732] learning_rate: 0.016000 loss_vfl: 0.898076 loss_bbox: 0.436546 loss_dfl: 0.414700 loss: 1.769277 eta: 2:33:05 batch_cost: 0.6660 data_cost: 0.0003 ips: 60.0556 images/s
[07/29 06:51:34] ppdet.engine INFO: Epoch: [286] [520/732] learning_rate: 0.016000 loss_vfl: 0.916752 loss_bbox: 0.449209 loss_dfl: 0.418058 loss: 1.769289 eta: 2:32:46 batch_cost: 0.6077 data_cost: 0.0003 ips: 65.8204 images/s
[07/29 06:51:49] ppdet.engine INFO: Epoch: [286] [540/732] learning_rate: 0.016000 loss_vfl: 0.925004 loss_bbox: 0.468627 loss_dfl: 0.427639 loss: 1.825172 eta: 2:32:27 batch_cost: 0.6287 data_cost: 0.0003 ips: 63.6221 images/s
[07/29 06:52:05] ppdet.engine INFO: Epoch: [286] [560/732] learning_rate: 0.016000 loss_vfl: 0.872408 loss_bbox: 0.414716 loss_dfl: 0.389966 loss: 1.667612 eta: 2:32:08 batch_cost: 0.6502 data_cost: 0.0010 ips: 61.5208 images/s
[07/29 06:52:22] ppdet.engine INFO: Epoch: [286] [580/732] learning_rate: 0.016000 loss_vfl: 0.884652 loss_bbox: 0.422678 loss_dfl: 0.406578 loss: 1.737182 eta: 2:31:48 batch_cost: 0.6940 data_cost: 0.0015 ips: 57.6384 images/s
[07/29 06:52:35] ppdet.engine INFO: Epoch: [286] [600/732] learning_rate: 0.016000 loss_vfl: 0.884118 loss_bbox: 0.434006 loss_dfl: 0.406157 loss: 1.718541 eta: 2:31:29 batch_cost: 0.5731 data_cost: 0.0003 ips: 69.8003 images/s
[07/29 06:52:50] ppdet.engine INFO: Epoch: [286] [620/732] learning_rate: 0.016000 loss_vfl: 0.863608 loss_bbox: 0.425400 loss_dfl: 0.393582 loss: 1.661955 eta: 2:31:10 batch_cost: 0.5590 data_cost: 0.0009 ips: 71.5568 images/s
[07/29 06:53:05] ppdet.engine INFO: Epoch: [286] [640/732] learning_rate: 0.016000 loss_vfl: 0.869685 loss_bbox: 0.435600 loss_dfl: 0.402103 loss: 1.706646 eta: 2:30:51 batch_cost: 0.6253 data_cost: 0.0003 ips: 63.9706 images/s
[07/29 06:53:21] ppdet.engine INFO: Epoch: [286] [660/732] learning_rate: 0.016000 loss_vfl: 0.919327 loss_bbox: 0.449819 loss_dfl: 0.424437 loss: 1.804367 eta: 2:30:32 batch_cost: 0.6398 data_cost: 0.0013 ips: 62.5196 images/s
[07/29 06:53:36] ppdet.engine INFO: Epoch: [286] [680/732] learning_rate: 0.016000 loss_vfl: 0.875255 loss_bbox: 0.422575 loss_dfl: 0.393237 loss: 1.690307 eta: 2:30:13 batch_cost: 0.6320 data_cost: 0.0009 ips: 63.2955 images/s
[07/29 06:53:51] ppdet.engine INFO: Epoch: [286] [700/732] learning_rate: 0.016000 loss_vfl: 0.848539 loss_bbox: 0.425020 loss_dfl: 0.390121 loss: 1.663320 eta: 2:29:54 batch_cost: 0.6096 data_cost: 0.0003 ips: 65.6123 images/s
[07/29 06:54:06] ppdet.engine INFO: Epoch: [286] [720/732] learning_rate: 0.016000 loss_vfl: 0.924632 loss_bbox: 0.434348 loss_dfl: 0.410330 loss: 1.766219 eta: 2:29:34 batch_cost: 0.6429 data_cost: 0.0011 ips: 62.2173 images/s
[07/29 06:54:20] ppdet.engine INFO: Epoch: [287] [  0/732] learning_rate: 0.016000 loss_vfl: 0.867022 loss_bbox: 0.424714 loss_dfl: 0.382381 loss: 1.684393 eta: 2:29:23 batch_cost: 0.8731 data_cost: 0.2443 ips: 45.8116 images/s
[07/29 06:54:37] ppdet.engine INFO: Epoch: [287] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.905928 loss_bbox: 0.434047 loss_dfl: 0.403047 loss: 1.744224 eta: 2:29:04 batch_cost: 0.6972 data_cost: 0.0008 ips: 57.3723 images/s
[07/29 06:54:54] ppdet.engine INFO: Epoch: [287] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.870247 loss_bbox: 0.425083 loss_dfl: 0.396059 loss: 1.675456 eta: 2:28:45 batch_cost: 0.6695 data_cost: 0.0003 ips: 59.7502 images/s
[07/29 06:55:09] ppdet.engine INFO: Epoch: [287] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.866371 loss_bbox: 0.420460 loss_dfl: 0.400254 loss: 1.693032 eta: 2:28:26 batch_cost: 0.6298 data_cost: 0.0004 ips: 63.5106 images/s
[07/29 06:55:26] ppdet.engine INFO: Epoch: [287] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.865805 loss_bbox: 0.431266 loss_dfl: 0.399377 loss: 1.694548 eta: 2:28:07 batch_cost: 0.7352 data_cost: 0.0003 ips: 54.4035 images/s
[07/29 06:55:42] ppdet.engine INFO: Epoch: [287] [100/732] learning_rate: 0.016000 loss_vfl: 0.930211 loss_bbox: 0.458548 loss_dfl: 0.425764 loss: 1.822937 eta: 2:27:48 batch_cost: 0.6641 data_cost: 0.0003 ips: 60.2327 images/s
[07/29 06:55:58] ppdet.engine INFO: Epoch: [287] [120/732] learning_rate: 0.016000 loss_vfl: 0.871981 loss_bbox: 0.427648 loss_dfl: 0.398311 loss: 1.705195 eta: 2:27:29 batch_cost: 0.6255 data_cost: 0.0008 ips: 63.9534 images/s
[07/29 06:56:13] ppdet.engine INFO: Epoch: [287] [140/732] learning_rate: 0.016000 loss_vfl: 0.861827 loss_bbox: 0.422593 loss_dfl: 0.378346 loss: 1.656315 eta: 2:27:10 batch_cost: 0.6271 data_cost: 0.0003 ips: 63.7866 images/s
[07/29 06:56:27] ppdet.engine INFO: Epoch: [287] [160/732] learning_rate: 0.016000 loss_vfl: 0.905981 loss_bbox: 0.451775 loss_dfl: 0.410251 loss: 1.770142 eta: 2:26:50 batch_cost: 0.5992 data_cost: 0.0003 ips: 66.7578 images/s
[07/29 06:56:43] ppdet.engine INFO: Epoch: [287] [180/732] learning_rate: 0.016000 loss_vfl: 0.833246 loss_bbox: 0.419319 loss_dfl: 0.387416 loss: 1.649735 eta: 2:26:31 batch_cost: 0.6113 data_cost: 0.0003 ips: 65.4321 images/s
[07/29 06:56:57] ppdet.engine INFO: Epoch: [287] [200/732] learning_rate: 0.016000 loss_vfl: 0.921596 loss_bbox: 0.441499 loss_dfl: 0.398593 loss: 1.730699 eta: 2:26:12 batch_cost: 0.6102 data_cost: 0.0015 ips: 65.5554 images/s
[07/29 06:57:13] ppdet.engine INFO: Epoch: [287] [220/732] learning_rate: 0.016000 loss_vfl: 0.899875 loss_bbox: 0.446206 loss_dfl: 0.410464 loss: 1.738638 eta: 2:25:53 batch_cost: 0.6573 data_cost: 0.0003 ips: 60.8575 images/s
[07/29 06:57:29] ppdet.engine INFO: Epoch: [287] [240/732] learning_rate: 0.016000 loss_vfl: 0.959234 loss_bbox: 0.419782 loss_dfl: 0.412623 loss: 1.794832 eta: 2:25:34 batch_cost: 0.6718 data_cost: 0.0003 ips: 59.5399 images/s
[07/29 06:57:44] ppdet.engine INFO: Epoch: [287] [260/732] learning_rate: 0.016000 loss_vfl: 0.856319 loss_bbox: 0.417481 loss_dfl: 0.400034 loss: 1.665103 eta: 2:25:15 batch_cost: 0.5974 data_cost: 0.0003 ips: 66.9519 images/s
[07/29 06:58:00] ppdet.engine INFO: Epoch: [287] [280/732] learning_rate: 0.016000 loss_vfl: 0.862622 loss_bbox: 0.420694 loss_dfl: 0.394291 loss: 1.694736 eta: 2:24:56 batch_cost: 0.6589 data_cost: 0.0003 ips: 60.7116 images/s
[07/29 06:58:16] ppdet.engine INFO: Epoch: [287] [300/732] learning_rate: 0.016000 loss_vfl: 0.899687 loss_bbox: 0.437611 loss_dfl: 0.402627 loss: 1.765077 eta: 2:24:37 batch_cost: 0.6744 data_cost: 0.0004 ips: 59.3107 images/s
[07/29 06:58:33] ppdet.engine INFO: Epoch: [287] [320/732] learning_rate: 0.016000 loss_vfl: 0.919661 loss_bbox: 0.448340 loss_dfl: 0.418745 loss: 1.786785 eta: 2:24:18 batch_cost: 0.7288 data_cost: 0.0003 ips: 54.8842 images/s
[07/29 06:58:49] ppdet.engine INFO: Epoch: [287] [340/732] learning_rate: 0.016000 loss_vfl: 0.857929 loss_bbox: 0.440003 loss_dfl: 0.394555 loss: 1.687275 eta: 2:23:59 batch_cost: 0.6799 data_cost: 0.0003 ips: 58.8339 images/s
[07/29 06:59:05] ppdet.engine INFO: Epoch: [287] [360/732] learning_rate: 0.016000 loss_vfl: 0.869338 loss_bbox: 0.409054 loss_dfl: 0.390669 loss: 1.665216 eta: 2:23:40 batch_cost: 0.6240 data_cost: 0.0003 ips: 64.1050 images/s
[07/29 06:59:21] ppdet.engine INFO: Epoch: [287] [380/732] learning_rate: 0.016000 loss_vfl: 0.850085 loss_bbox: 0.410160 loss_dfl: 0.390164 loss: 1.643872 eta: 2:23:20 batch_cost: 0.6376 data_cost: 0.0019 ips: 62.7385 images/s
[07/29 06:59:36] ppdet.engine INFO: Epoch: [287] [400/732] learning_rate: 0.016000 loss_vfl: 0.884330 loss_bbox: 0.443425 loss_dfl: 0.407550 loss: 1.729353 eta: 2:23:01 batch_cost: 0.6442 data_cost: 0.0003 ips: 62.0950 images/s
[07/29 06:59:52] ppdet.engine INFO: Epoch: [287] [420/732] learning_rate: 0.016000 loss_vfl: 0.861372 loss_bbox: 0.438284 loss_dfl: 0.401018 loss: 1.728546 eta: 2:22:42 batch_cost: 0.6535 data_cost: 0.0003 ips: 61.2093 images/s
[07/29 07:00:07] ppdet.engine INFO: Epoch: [287] [440/732] learning_rate: 0.016000 loss_vfl: 0.916096 loss_bbox: 0.471552 loss_dfl: 0.419628 loss: 1.820347 eta: 2:22:23 batch_cost: 0.6162 data_cost: 0.0003 ips: 64.9143 images/s
[07/29 07:00:22] ppdet.engine INFO: Epoch: [287] [460/732] learning_rate: 0.016000 loss_vfl: 0.853199 loss_bbox: 0.427457 loss_dfl: 0.393575 loss: 1.679696 eta: 2:22:04 batch_cost: 0.6329 data_cost: 0.0009 ips: 63.1976 images/s
[07/29 07:00:37] ppdet.engine INFO: Epoch: [287] [480/732] learning_rate: 0.016000 loss_vfl: 0.912429 loss_bbox: 0.432995 loss_dfl: 0.406522 loss: 1.734266 eta: 2:21:45 batch_cost: 0.5975 data_cost: 0.0003 ips: 66.9448 images/s
[07/29 07:00:53] ppdet.engine INFO: Epoch: [287] [500/732] learning_rate: 0.016000 loss_vfl: 0.886177 loss_bbox: 0.441397 loss_dfl: 0.403079 loss: 1.729107 eta: 2:21:26 batch_cost: 0.6469 data_cost: 0.0003 ips: 61.8335 images/s
[07/29 07:01:09] ppdet.engine INFO: Epoch: [287] [520/732] learning_rate: 0.016000 loss_vfl: 0.919625 loss_bbox: 0.447203 loss_dfl: 0.409259 loss: 1.779016 eta: 2:21:07 batch_cost: 0.6186 data_cost: 0.0017 ips: 64.6646 images/s
[07/29 07:01:25] ppdet.engine INFO: Epoch: [287] [540/732] learning_rate: 0.016000 loss_vfl: 0.899290 loss_bbox: 0.437490 loss_dfl: 0.394042 loss: 1.740613 eta: 2:20:48 batch_cost: 0.6516 data_cost: 0.0009 ips: 61.3840 images/s
[07/29 07:01:41] ppdet.engine INFO: Epoch: [287] [560/732] learning_rate: 0.016000 loss_vfl: 0.853764 loss_bbox: 0.401097 loss_dfl: 0.388350 loss: 1.619717 eta: 2:20:29 batch_cost: 0.6646 data_cost: 0.0003 ips: 60.1838 images/s
[07/29 07:01:58] ppdet.engine INFO: Epoch: [287] [580/732] learning_rate: 0.016000 loss_vfl: 0.916551 loss_bbox: 0.450157 loss_dfl: 0.419393 loss: 1.761670 eta: 2:20:10 batch_cost: 0.6879 data_cost: 0.0003 ips: 58.1466 images/s
[07/29 07:02:13] ppdet.engine INFO: Epoch: [287] [600/732] learning_rate: 0.016000 loss_vfl: 0.910577 loss_bbox: 0.449227 loss_dfl: 0.411908 loss: 1.762704 eta: 2:19:51 batch_cost: 0.6358 data_cost: 0.0004 ips: 62.9150 images/s
[07/29 07:02:29] ppdet.engine INFO: Epoch: [287] [620/732] learning_rate: 0.016000 loss_vfl: 0.883713 loss_bbox: 0.445756 loss_dfl: 0.399314 loss: 1.747151 eta: 2:19:31 batch_cost: 0.6768 data_cost: 0.0003 ips: 59.0976 images/s
[07/29 07:02:44] ppdet.engine INFO: Epoch: [287] [640/732] learning_rate: 0.016000 loss_vfl: 0.888719 loss_bbox: 0.422342 loss_dfl: 0.399498 loss: 1.713807 eta: 2:19:12 batch_cost: 0.6021 data_cost: 0.0003 ips: 66.4353 images/s
[07/29 07:02:59] ppdet.engine INFO: Epoch: [287] [660/732] learning_rate: 0.016000 loss_vfl: 0.874192 loss_bbox: 0.417752 loss_dfl: 0.382738 loss: 1.660589 eta: 2:18:53 batch_cost: 0.6287 data_cost: 0.0003 ips: 63.6262 images/s
[07/29 07:03:14] ppdet.engine INFO: Epoch: [287] [680/732] learning_rate: 0.016000 loss_vfl: 0.905775 loss_bbox: 0.448109 loss_dfl: 0.410860 loss: 1.785086 eta: 2:18:34 batch_cost: 0.6191 data_cost: 0.0003 ips: 64.6057 images/s
[07/29 07:03:30] ppdet.engine INFO: Epoch: [287] [700/732] learning_rate: 0.016000 loss_vfl: 0.899924 loss_bbox: 0.419695 loss_dfl: 0.393348 loss: 1.706735 eta: 2:18:15 batch_cost: 0.6364 data_cost: 0.0003 ips: 62.8493 images/s
[07/29 07:03:45] ppdet.engine INFO: Epoch: [287] [720/732] learning_rate: 0.016000 loss_vfl: 0.866805 loss_bbox: 0.443099 loss_dfl: 0.395667 loss: 1.685865 eta: 2:17:56 batch_cost: 0.6437 data_cost: 0.0011 ips: 62.1398 images/s
[07/29 07:04:00] ppdet.engine INFO: Epoch: [288] [  0/732] learning_rate: 0.016000 loss_vfl: 0.879082 loss_bbox: 0.443001 loss_dfl: 0.401461 loss: 1.746583 eta: 2:17:45 batch_cost: 0.8501 data_cost: 0.2649 ips: 47.0551 images/s
[07/29 07:04:19] ppdet.engine INFO: Epoch: [288] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.909930 loss_bbox: 0.458521 loss_dfl: 0.408517 loss: 1.747682 eta: 2:17:26 batch_cost: 0.7033 data_cost: 0.0004 ips: 56.8733 images/s
[07/29 07:04:35] ppdet.engine INFO: Epoch: [288] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.840546 loss_bbox: 0.409496 loss_dfl: 0.387623 loss: 1.647940 eta: 2:17:07 batch_cost: 0.6821 data_cost: 0.0006 ips: 58.6412 images/s
[07/29 07:04:52] ppdet.engine INFO: Epoch: [288] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.938910 loss_bbox: 0.462757 loss_dfl: 0.431535 loss: 1.851921 eta: 2:16:48 batch_cost: 0.6968 data_cost: 0.0012 ips: 57.4080 images/s
[07/29 07:05:08] ppdet.engine INFO: Epoch: [288] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.899654 loss_bbox: 0.431368 loss_dfl: 0.417574 loss: 1.750337 eta: 2:16:29 batch_cost: 0.6720 data_cost: 0.0005 ips: 59.5246 images/s
[07/29 07:05:24] ppdet.engine INFO: Epoch: [288] [100/732] learning_rate: 0.016000 loss_vfl: 0.934837 loss_bbox: 0.452464 loss_dfl: 0.419163 loss: 1.814875 eta: 2:16:10 batch_cost: 0.6848 data_cost: 0.0004 ips: 58.4113 images/s
[07/29 07:05:40] ppdet.engine INFO: Epoch: [288] [120/732] learning_rate: 0.016000 loss_vfl: 0.920924 loss_bbox: 0.427025 loss_dfl: 0.422706 loss: 1.790332 eta: 2:15:51 batch_cost: 0.6743 data_cost: 0.0004 ips: 59.3243 images/s
[07/29 07:05:55] ppdet.engine INFO: Epoch: [288] [140/732] learning_rate: 0.016000 loss_vfl: 0.878768 loss_bbox: 0.441075 loss_dfl: 0.411304 loss: 1.744213 eta: 2:15:32 batch_cost: 0.6365 data_cost: 0.0003 ips: 62.8391 images/s
[07/29 07:06:10] ppdet.engine INFO: Epoch: [288] [160/732] learning_rate: 0.016000 loss_vfl: 0.927925 loss_bbox: 0.468961 loss_dfl: 0.435843 loss: 1.838842 eta: 2:15:13 batch_cost: 0.6549 data_cost: 0.0003 ips: 61.0799 images/s
[07/29 07:06:24] ppdet.engine INFO: Epoch: [288] [180/732] learning_rate: 0.016000 loss_vfl: 0.916487 loss_bbox: 0.442179 loss_dfl: 0.416397 loss: 1.789600 eta: 2:14:53 batch_cost: 0.5965 data_cost: 0.0003 ips: 67.0617 images/s
[07/29 07:06:40] ppdet.engine INFO: Epoch: [288] [200/732] learning_rate: 0.016000 loss_vfl: 0.910877 loss_bbox: 0.440634 loss_dfl: 0.409455 loss: 1.756284 eta: 2:14:34 batch_cost: 0.6168 data_cost: 0.0003 ips: 64.8469 images/s
[07/29 07:06:55] ppdet.engine INFO: Epoch: [288] [220/732] learning_rate: 0.016000 loss_vfl: 0.896311 loss_bbox: 0.445370 loss_dfl: 0.413783 loss: 1.756295 eta: 2:14:15 batch_cost: 0.6701 data_cost: 0.0022 ips: 59.6910 images/s
[07/29 07:07:11] ppdet.engine INFO: Epoch: [288] [240/732] learning_rate: 0.016000 loss_vfl: 0.855112 loss_bbox: 0.428887 loss_dfl: 0.392758 loss: 1.684521 eta: 2:13:56 batch_cost: 0.6313 data_cost: 0.0003 ips: 63.3593 images/s
[07/29 07:07:25] ppdet.engine INFO: Epoch: [288] [260/732] learning_rate: 0.016000 loss_vfl: 0.886979 loss_bbox: 0.424758 loss_dfl: 0.403731 loss: 1.739804 eta: 2:13:37 batch_cost: 0.5742 data_cost: 0.0003 ips: 69.6611 images/s
[07/29 07:07:40] ppdet.engine INFO: Epoch: [288] [280/732] learning_rate: 0.016000 loss_vfl: 0.858063 loss_bbox: 0.429880 loss_dfl: 0.393334 loss: 1.720925 eta: 2:13:18 batch_cost: 0.5764 data_cost: 0.0009 ips: 69.3966 images/s
[07/29 07:07:55] ppdet.engine INFO: Epoch: [288] [300/732] learning_rate: 0.016000 loss_vfl: 0.886130 loss_bbox: 0.428686 loss_dfl: 0.385666 loss: 1.686905 eta: 2:12:59 batch_cost: 0.6306 data_cost: 0.0003 ips: 63.4288 images/s
[07/29 07:08:11] ppdet.engine INFO: Epoch: [288] [320/732] learning_rate: 0.016000 loss_vfl: 0.898271 loss_bbox: 0.442001 loss_dfl: 0.401362 loss: 1.754410 eta: 2:12:40 batch_cost: 0.6661 data_cost: 0.0009 ips: 60.0485 images/s
[07/29 07:08:27] ppdet.engine INFO: Epoch: [288] [340/732] learning_rate: 0.016000 loss_vfl: 0.940662 loss_bbox: 0.463200 loss_dfl: 0.432222 loss: 1.859563 eta: 2:12:21 batch_cost: 0.6773 data_cost: 0.0010 ips: 59.0608 images/s
[07/29 07:08:43] ppdet.engine INFO: Epoch: [288] [360/732] learning_rate: 0.016000 loss_vfl: 0.888732 loss_bbox: 0.421612 loss_dfl: 0.406572 loss: 1.726446 eta: 2:12:02 batch_cost: 0.6678 data_cost: 0.0003 ips: 59.8978 images/s
[07/29 07:08:59] ppdet.engine INFO: Epoch: [288] [380/732] learning_rate: 0.016000 loss_vfl: 0.877289 loss_bbox: 0.412687 loss_dfl: 0.396764 loss: 1.682828 eta: 2:11:43 batch_cost: 0.6592 data_cost: 0.0003 ips: 60.6782 images/s
[07/29 07:09:15] ppdet.engine INFO: Epoch: [288] [400/732] learning_rate: 0.016000 loss_vfl: 0.928621 loss_bbox: 0.445996 loss_dfl: 0.416917 loss: 1.801637 eta: 2:11:24 batch_cost: 0.6770 data_cost: 0.0003 ips: 59.0878 images/s
[07/29 07:09:31] ppdet.engine INFO: Epoch: [288] [420/732] learning_rate: 0.016000 loss_vfl: 0.892391 loss_bbox: 0.455930 loss_dfl: 0.417885 loss: 1.764024 eta: 2:11:05 batch_cost: 0.6162 data_cost: 0.0009 ips: 64.9145 images/s
[07/29 07:09:47] ppdet.engine INFO: Epoch: [288] [440/732] learning_rate: 0.016000 loss_vfl: 0.863055 loss_bbox: 0.424493 loss_dfl: 0.403989 loss: 1.702651 eta: 2:10:46 batch_cost: 0.6531 data_cost: 0.0003 ips: 61.2423 images/s
[07/29 07:10:03] ppdet.engine INFO: Epoch: [288] [460/732] learning_rate: 0.016000 loss_vfl: 0.856732 loss_bbox: 0.438753 loss_dfl: 0.392259 loss: 1.697326 eta: 2:10:27 batch_cost: 0.6463 data_cost: 0.0010 ips: 61.8875 images/s
[07/29 07:10:19] ppdet.engine INFO: Epoch: [288] [480/732] learning_rate: 0.016000 loss_vfl: 0.846611 loss_bbox: 0.400283 loss_dfl: 0.379489 loss: 1.614278 eta: 2:10:08 batch_cost: 0.6519 data_cost: 0.0003 ips: 61.3613 images/s
[07/29 07:10:34] ppdet.engine INFO: Epoch: [288] [500/732] learning_rate: 0.016000 loss_vfl: 0.909762 loss_bbox: 0.455720 loss_dfl: 0.415945 loss: 1.794647 eta: 2:09:49 batch_cost: 0.6356 data_cost: 0.0003 ips: 62.9321 images/s
[07/29 07:10:49] ppdet.engine INFO: Epoch: [288] [520/732] learning_rate: 0.016000 loss_vfl: 0.820914 loss_bbox: 0.409444 loss_dfl: 0.387180 loss: 1.608597 eta: 2:09:30 batch_cost: 0.6389 data_cost: 0.0003 ips: 62.6083 images/s
[07/29 07:11:04] ppdet.engine INFO: Epoch: [288] [540/732] learning_rate: 0.016000 loss_vfl: 0.851310 loss_bbox: 0.448501 loss_dfl: 0.416821 loss: 1.729421 eta: 2:09:11 batch_cost: 0.6250 data_cost: 0.0007 ips: 64.0051 images/s
[07/29 07:11:20] ppdet.engine INFO: Epoch: [288] [560/732] learning_rate: 0.016000 loss_vfl: 0.902810 loss_bbox: 0.459155 loss_dfl: 0.412697 loss: 1.783223 eta: 2:08:51 batch_cost: 0.6344 data_cost: 0.0003 ips: 63.0553 images/s
[07/29 07:11:36] ppdet.engine INFO: Epoch: [288] [580/732] learning_rate: 0.016000 loss_vfl: 0.842570 loss_bbox: 0.441691 loss_dfl: 0.398899 loss: 1.675278 eta: 2:08:32 batch_cost: 0.6587 data_cost: 0.0003 ips: 60.7272 images/s
[07/29 07:11:51] ppdet.engine INFO: Epoch: [288] [600/732] learning_rate: 0.016000 loss_vfl: 0.881303 loss_bbox: 0.427890 loss_dfl: 0.400289 loss: 1.710547 eta: 2:08:13 batch_cost: 0.6216 data_cost: 0.0003 ips: 64.3542 images/s
[07/29 07:12:06] ppdet.engine INFO: Epoch: [288] [620/732] learning_rate: 0.016000 loss_vfl: 0.931482 loss_bbox: 0.450287 loss_dfl: 0.414835 loss: 1.797421 eta: 2:07:54 batch_cost: 0.6761 data_cost: 0.0003 ips: 59.1598 images/s
[07/29 07:12:22] ppdet.engine INFO: Epoch: [288] [640/732] learning_rate: 0.016000 loss_vfl: 0.880273 loss_bbox: 0.411645 loss_dfl: 0.386021 loss: 1.658821 eta: 2:07:35 batch_cost: 0.6281 data_cost: 0.0009 ips: 63.6829 images/s
[07/29 07:12:37] ppdet.engine INFO: Epoch: [288] [660/732] learning_rate: 0.016000 loss_vfl: 0.919616 loss_bbox: 0.452138 loss_dfl: 0.419459 loss: 1.797891 eta: 2:07:16 batch_cost: 0.6596 data_cost: 0.0003 ips: 60.6428 images/s
[07/29 07:12:53] ppdet.engine INFO: Epoch: [288] [680/732] learning_rate: 0.016000 loss_vfl: 0.953314 loss_bbox: 0.456154 loss_dfl: 0.427980 loss: 1.839217 eta: 2:06:57 batch_cost: 0.6300 data_cost: 0.0003 ips: 63.4882 images/s
[07/29 07:13:08] ppdet.engine INFO: Epoch: [288] [700/732] learning_rate: 0.016000 loss_vfl: 0.849023 loss_bbox: 0.426300 loss_dfl: 0.395505 loss: 1.669417 eta: 2:06:38 batch_cost: 0.6109 data_cost: 0.0013 ips: 65.4804 images/s
[07/29 07:13:24] ppdet.engine INFO: Epoch: [288] [720/732] learning_rate: 0.016000 loss_vfl: 0.914989 loss_bbox: 0.457569 loss_dfl: 0.435434 loss: 1.809129 eta: 2:06:19 batch_cost: 0.6816 data_cost: 0.0006 ips: 58.6880 images/s
[07/29 07:13:38] ppdet.engine INFO: Epoch: [289] [  0/732] learning_rate: 0.016000 loss_vfl: 0.882657 loss_bbox: 0.410838 loss_dfl: 0.395760 loss: 1.695134 eta: 2:06:08 batch_cost: 0.8575 data_cost: 0.1861 ips: 46.6458 images/s
[07/29 07:13:54] ppdet.engine INFO: Epoch: [289] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.857557 loss_bbox: 0.420908 loss_dfl: 0.403902 loss: 1.700194 eta: 2:05:49 batch_cost: 0.6760 data_cost: 0.0003 ips: 59.1739 images/s
[07/29 07:14:10] ppdet.engine INFO: Epoch: [289] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.889683 loss_bbox: 0.430508 loss_dfl: 0.402010 loss: 1.724560 eta: 2:05:30 batch_cost: 0.6622 data_cost: 0.0003 ips: 60.4024 images/s
[07/29 07:14:26] ppdet.engine INFO: Epoch: [289] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.875158 loss_bbox: 0.404088 loss_dfl: 0.389554 loss: 1.675409 eta: 2:05:11 batch_cost: 0.6595 data_cost: 0.0004 ips: 60.6534 images/s
[07/29 07:14:41] ppdet.engine INFO: Epoch: [289] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.912584 loss_bbox: 0.420636 loss_dfl: 0.411860 loss: 1.749744 eta: 2:04:52 batch_cost: 0.6034 data_cost: 0.0003 ips: 66.2879 images/s
[07/29 07:14:57] ppdet.engine INFO: Epoch: [289] [100/732] learning_rate: 0.016000 loss_vfl: 0.861229 loss_bbox: 0.455103 loss_dfl: 0.399616 loss: 1.713296 eta: 2:04:33 batch_cost: 0.6387 data_cost: 0.0009 ips: 62.6277 images/s
[07/29 07:15:12] ppdet.engine INFO: Epoch: [289] [120/732] learning_rate: 0.016000 loss_vfl: 0.895122 loss_bbox: 0.460458 loss_dfl: 0.415314 loss: 1.774641 eta: 2:04:14 batch_cost: 0.6089 data_cost: 0.0009 ips: 65.6870 images/s
[07/29 07:15:26] ppdet.engine INFO: Epoch: [289] [140/732] learning_rate: 0.016000 loss_vfl: 0.910394 loss_bbox: 0.452874 loss_dfl: 0.420736 loss: 1.770738 eta: 2:03:55 batch_cost: 0.6123 data_cost: 0.0003 ips: 65.3276 images/s
[07/29 07:15:40] ppdet.engine INFO: Epoch: [289] [160/732] learning_rate: 0.016000 loss_vfl: 0.876299 loss_bbox: 0.450126 loss_dfl: 0.410921 loss: 1.770281 eta: 2:03:36 batch_cost: 0.5815 data_cost: 0.0003 ips: 68.7862 images/s
[07/29 07:15:57] ppdet.engine INFO: Epoch: [289] [180/732] learning_rate: 0.016000 loss_vfl: 0.879125 loss_bbox: 0.443403 loss_dfl: 0.403113 loss: 1.726761 eta: 2:03:17 batch_cost: 0.7029 data_cost: 0.0016 ips: 56.9074 images/s
[07/29 07:16:12] ppdet.engine INFO: Epoch: [289] [200/732] learning_rate: 0.016000 loss_vfl: 0.839054 loss_bbox: 0.411233 loss_dfl: 0.379036 loss: 1.605586 eta: 2:02:58 batch_cost: 0.5839 data_cost: 0.0003 ips: 68.5023 images/s
[07/29 07:16:27] ppdet.engine INFO: Epoch: [289] [220/732] learning_rate: 0.016000 loss_vfl: 0.831441 loss_bbox: 0.430118 loss_dfl: 0.381477 loss: 1.644907 eta: 2:02:39 batch_cost: 0.6218 data_cost: 0.0005 ips: 64.3276 images/s
[07/29 07:16:43] ppdet.engine INFO: Epoch: [289] [240/732] learning_rate: 0.016000 loss_vfl: 0.892355 loss_bbox: 0.439772 loss_dfl: 0.406757 loss: 1.738299 eta: 2:02:20 batch_cost: 0.6782 data_cost: 0.0004 ips: 58.9833 images/s
[07/29 07:16:59] ppdet.engine INFO: Epoch: [289] [260/732] learning_rate: 0.016000 loss_vfl: 0.916351 loss_bbox: 0.454870 loss_dfl: 0.417249 loss: 1.776971 eta: 2:02:01 batch_cost: 0.6566 data_cost: 0.0003 ips: 60.9194 images/s
[07/29 07:17:14] ppdet.engine INFO: Epoch: [289] [280/732] learning_rate: 0.016000 loss_vfl: 0.899452 loss_bbox: 0.439423 loss_dfl: 0.405110 loss: 1.729804 eta: 2:01:42 batch_cost: 0.5887 data_cost: 0.0009 ips: 67.9441 images/s
[07/29 07:17:29] ppdet.engine INFO: Epoch: [289] [300/732] learning_rate: 0.016000 loss_vfl: 0.851999 loss_bbox: 0.412032 loss_dfl: 0.387018 loss: 1.645764 eta: 2:01:23 batch_cost: 0.6353 data_cost: 0.0003 ips: 62.9660 images/s
[07/29 07:17:45] ppdet.engine INFO: Epoch: [289] [320/732] learning_rate: 0.016000 loss_vfl: 0.871467 loss_bbox: 0.456654 loss_dfl: 0.409837 loss: 1.737958 eta: 2:01:04 batch_cost: 0.6645 data_cost: 0.0003 ips: 60.1980 images/s
[07/29 07:18:00] ppdet.engine INFO: Epoch: [289] [340/732] learning_rate: 0.016000 loss_vfl: 0.899402 loss_bbox: 0.451031 loss_dfl: 0.411284 loss: 1.760353 eta: 2:00:45 batch_cost: 0.6633 data_cost: 0.0016 ips: 60.3024 images/s
[07/29 07:18:15] ppdet.engine INFO: Epoch: [289] [360/732] learning_rate: 0.016000 loss_vfl: 0.870688 loss_bbox: 0.433181 loss_dfl: 0.393195 loss: 1.687715 eta: 2:00:26 batch_cost: 0.6106 data_cost: 0.0016 ips: 65.5090 images/s
[07/29 07:18:29] ppdet.engine INFO: Epoch: [289] [380/732] learning_rate: 0.016000 loss_vfl: 0.883118 loss_bbox: 0.423812 loss_dfl: 0.399805 loss: 1.697538 eta: 2:00:07 batch_cost: 0.6028 data_cost: 0.0021 ips: 66.3596 images/s
[07/29 07:18:47] ppdet.engine INFO: Epoch: [289] [400/732] learning_rate: 0.016000 loss_vfl: 0.943454 loss_bbox: 0.474728 loss_dfl: 0.439827 loss: 1.836438 eta: 1:59:48 batch_cost: 0.7089 data_cost: 0.0010 ips: 56.4272 images/s
[07/29 07:19:02] ppdet.engine INFO: Epoch: [289] [420/732] learning_rate: 0.016000 loss_vfl: 0.878696 loss_bbox: 0.424092 loss_dfl: 0.400341 loss: 1.691504 eta: 1:59:29 batch_cost: 0.6434 data_cost: 0.0003 ips: 62.1740 images/s
[07/29 07:19:17] ppdet.engine INFO: Epoch: [289] [440/732] learning_rate: 0.016000 loss_vfl: 0.907274 loss_bbox: 0.443417 loss_dfl: 0.413015 loss: 1.765971 eta: 1:59:10 batch_cost: 0.6271 data_cost: 0.0003 ips: 63.7888 images/s
[07/29 07:19:32] ppdet.engine INFO: Epoch: [289] [460/732] learning_rate: 0.016000 loss_vfl: 0.900543 loss_bbox: 0.441066 loss_dfl: 0.419639 loss: 1.755237 eta: 1:58:51 batch_cost: 0.5838 data_cost: 0.0008 ips: 68.5185 images/s
[07/29 07:19:47] ppdet.engine INFO: Epoch: [289] [480/732] learning_rate: 0.016000 loss_vfl: 0.920149 loss_bbox: 0.443272 loss_dfl: 0.415921 loss: 1.775503 eta: 1:58:32 batch_cost: 0.6354 data_cost: 0.0003 ips: 62.9481 images/s
[07/29 07:20:03] ppdet.engine INFO: Epoch: [289] [500/732] learning_rate: 0.016000 loss_vfl: 0.869361 loss_bbox: 0.411431 loss_dfl: 0.402197 loss: 1.691329 eta: 1:58:13 batch_cost: 0.6446 data_cost: 0.0003 ips: 62.0535 images/s
[07/29 07:20:18] ppdet.engine INFO: Epoch: [289] [520/732] learning_rate: 0.016000 loss_vfl: 0.838333 loss_bbox: 0.394683 loss_dfl: 0.389832 loss: 1.633623 eta: 1:57:54 batch_cost: 0.6243 data_cost: 0.0003 ips: 64.0764 images/s
[07/29 07:20:33] ppdet.engine INFO: Epoch: [289] [540/732] learning_rate: 0.016000 loss_vfl: 0.872255 loss_bbox: 0.414732 loss_dfl: 0.393992 loss: 1.698013 eta: 1:57:35 batch_cost: 0.6481 data_cost: 0.0003 ips: 61.7216 images/s
[07/29 07:20:49] ppdet.engine INFO: Epoch: [289] [560/732] learning_rate: 0.016000 loss_vfl: 0.909710 loss_bbox: 0.430796 loss_dfl: 0.409491 loss: 1.718106 eta: 1:57:16 batch_cost: 0.6941 data_cost: 0.0003 ips: 57.6324 images/s
[07/29 07:21:06] ppdet.engine INFO: Epoch: [289] [580/732] learning_rate: 0.016000 loss_vfl: 0.866463 loss_bbox: 0.414439 loss_dfl: 0.394886 loss: 1.673711 eta: 1:56:57 batch_cost: 0.6314 data_cost: 0.0003 ips: 63.3546 images/s
[07/29 07:21:21] ppdet.engine INFO: Epoch: [289] [600/732] learning_rate: 0.016000 loss_vfl: 0.904259 loss_bbox: 0.426622 loss_dfl: 0.409061 loss: 1.750081 eta: 1:56:38 batch_cost: 0.6575 data_cost: 0.0003 ips: 60.8410 images/s
[07/29 07:21:37] ppdet.engine INFO: Epoch: [289] [620/732] learning_rate: 0.016000 loss_vfl: 0.877088 loss_bbox: 0.438616 loss_dfl: 0.405569 loss: 1.681784 eta: 1:56:19 batch_cost: 0.6186 data_cost: 0.0016 ips: 64.6595 images/s
[07/29 07:21:52] ppdet.engine INFO: Epoch: [289] [640/732] learning_rate: 0.016000 loss_vfl: 0.811344 loss_bbox: 0.405475 loss_dfl: 0.372971 loss: 1.586733 eta: 1:56:00 batch_cost: 0.6158 data_cost: 0.0003 ips: 64.9548 images/s
[07/29 07:22:07] ppdet.engine INFO: Epoch: [289] [660/732] learning_rate: 0.016000 loss_vfl: 0.848213 loss_bbox: 0.419377 loss_dfl: 0.396044 loss: 1.676544 eta: 1:55:41 batch_cost: 0.6084 data_cost: 0.0003 ips: 65.7424 images/s
[07/29 07:22:23] ppdet.engine INFO: Epoch: [289] [680/732] learning_rate: 0.016000 loss_vfl: 0.922004 loss_bbox: 0.432355 loss_dfl: 0.402859 loss: 1.746649 eta: 1:55:22 batch_cost: 0.6751 data_cost: 0.0003 ips: 59.2509 images/s
[07/29 07:22:38] ppdet.engine INFO: Epoch: [289] [700/732] learning_rate: 0.016000 loss_vfl: 0.862248 loss_bbox: 0.425007 loss_dfl: 0.399207 loss: 1.699403 eta: 1:55:03 batch_cost: 0.5737 data_cost: 0.0003 ips: 69.7193 images/s
[07/29 07:22:53] ppdet.engine INFO: Epoch: [289] [720/732] learning_rate: 0.016000 loss_vfl: 0.861002 loss_bbox: 0.430876 loss_dfl: 0.388027 loss: 1.670749 eta: 1:54:44 batch_cost: 0.6342 data_cost: 0.0004 ips: 63.0701 images/s
[07/29 07:23:02] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 07:23:02] ppdet.engine INFO: Eval iter: 0
[07/29 07:23:16] ppdet.engine INFO: Eval iter: 100
[07/29 07:23:25] ppdet.engine INFO: Eval iter: 200
[07/29 07:23:33] ppdet.engine INFO: Eval iter: 300
[07/29 07:23:41] ppdet.engine INFO: Eval iter: 400
[07/29 07:23:50] ppdet.engine INFO: Eval iter: 500
[07/29 07:23:58] ppdet.engine INFO: Eval iter: 600
[07/29 07:24:14] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.68s)
creating index...
index created!
[07/29 07:24:15] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.78s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=103.58s).
Accumulating evaluation results...
DONE (t=18.88s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.300
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.443
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.320
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.112
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.322
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.460
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.276
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.451
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.481
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.225
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.534
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.717
[07/29 07:26:25] ppdet.engine INFO: Total sample number: 4952, averge FPS: 83.70745248852363
[07/29 07:26:25] ppdet.engine INFO: Best test bbox ap is 0.301.
[07/29 07:26:25] ppdet.engine INFO: Epoch: [290] [  0/732] learning_rate: 0.016000 loss_vfl: 0.899688 loss_bbox: 0.444256 loss_dfl: 0.398552 loss: 1.740382 eta: 1:54:32 batch_cost: 0.5283 data_cost: 0.0003 ips: 75.7155 images/s
[07/29 07:26:40] ppdet.engine INFO: Epoch: [290] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.939616 loss_bbox: 0.472990 loss_dfl: 0.428591 loss: 1.839938 eta: 1:54:13 batch_cost: 0.6247 data_cost: 0.0003 ips: 64.0327 images/s
[07/29 07:26:56] ppdet.engine INFO: Epoch: [290] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.856929 loss_bbox: 0.404863 loss_dfl: 0.383547 loss: 1.648146 eta: 1:53:54 batch_cost: 0.6333 data_cost: 0.0005 ips: 63.1639 images/s
[07/29 07:27:11] ppdet.engine INFO: Epoch: [290] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.874689 loss_bbox: 0.421930 loss_dfl: 0.390040 loss: 1.678402 eta: 1:53:35 batch_cost: 0.6288 data_cost: 0.0004 ips: 63.6135 images/s
[07/29 07:27:28] ppdet.engine INFO: Epoch: [290] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.893371 loss_bbox: 0.421394 loss_dfl: 0.410647 loss: 1.756964 eta: 1:53:16 batch_cost: 0.7104 data_cost: 0.0005 ips: 56.3039 images/s
[07/29 07:27:43] ppdet.engine INFO: Epoch: [290] [100/732] learning_rate: 0.016000 loss_vfl: 0.891910 loss_bbox: 0.440887 loss_dfl: 0.414558 loss: 1.736300 eta: 1:52:57 batch_cost: 0.6277 data_cost: 0.0004 ips: 63.7279 images/s
[07/29 07:27:59] ppdet.engine INFO: Epoch: [290] [120/732] learning_rate: 0.016000 loss_vfl: 0.892157 loss_bbox: 0.458670 loss_dfl: 0.429031 loss: 1.813358 eta: 1:52:38 batch_cost: 0.6347 data_cost: 0.0003 ips: 63.0257 images/s
[07/29 07:28:15] ppdet.engine INFO: Epoch: [290] [140/732] learning_rate: 0.016000 loss_vfl: 0.879656 loss_bbox: 0.431177 loss_dfl: 0.409587 loss: 1.704033 eta: 1:52:19 batch_cost: 0.6085 data_cost: 0.0003 ips: 65.7376 images/s
[07/29 07:28:31] ppdet.engine INFO: Epoch: [290] [160/732] learning_rate: 0.016000 loss_vfl: 0.858209 loss_bbox: 0.414877 loss_dfl: 0.402684 loss: 1.659741 eta: 1:52:00 batch_cost: 0.7102 data_cost: 0.0003 ips: 56.3184 images/s
[07/29 07:28:47] ppdet.engine INFO: Epoch: [290] [180/732] learning_rate: 0.016000 loss_vfl: 0.946852 loss_bbox: 0.458209 loss_dfl: 0.432044 loss: 1.857552 eta: 1:51:41 batch_cost: 0.6375 data_cost: 0.0003 ips: 62.7471 images/s
[07/29 07:29:02] ppdet.engine INFO: Epoch: [290] [200/732] learning_rate: 0.016000 loss_vfl: 0.918221 loss_bbox: 0.460591 loss_dfl: 0.429475 loss: 1.804583 eta: 1:51:22 batch_cost: 0.6455 data_cost: 0.0007 ips: 61.9686 images/s
[07/29 07:29:17] ppdet.engine INFO: Epoch: [290] [220/732] learning_rate: 0.016000 loss_vfl: 0.863977 loss_bbox: 0.434799 loss_dfl: 0.394856 loss: 1.693509 eta: 1:51:03 batch_cost: 0.5919 data_cost: 0.0003 ips: 67.5743 images/s
[07/29 07:29:32] ppdet.engine INFO: Epoch: [290] [240/732] learning_rate: 0.016000 loss_vfl: 0.889262 loss_bbox: 0.449742 loss_dfl: 0.410922 loss: 1.753483 eta: 1:50:44 batch_cost: 0.5918 data_cost: 0.0004 ips: 67.5861 images/s
[07/29 07:29:48] ppdet.engine INFO: Epoch: [290] [260/732] learning_rate: 0.016000 loss_vfl: 0.876686 loss_bbox: 0.426273 loss_dfl: 0.396459 loss: 1.713444 eta: 1:50:25 batch_cost: 0.6344 data_cost: 0.0003 ips: 63.0488 images/s
[07/29 07:30:03] ppdet.engine INFO: Epoch: [290] [280/732] learning_rate: 0.016000 loss_vfl: 0.834437 loss_bbox: 0.409720 loss_dfl: 0.383898 loss: 1.630256 eta: 1:50:07 batch_cost: 0.6496 data_cost: 0.0004 ips: 61.5720 images/s
[07/29 07:30:19] ppdet.engine INFO: Epoch: [290] [300/732] learning_rate: 0.016000 loss_vfl: 0.915047 loss_bbox: 0.433918 loss_dfl: 0.408262 loss: 1.750861 eta: 1:49:48 batch_cost: 0.6256 data_cost: 0.0015 ips: 63.9401 images/s
[07/29 07:30:35] ppdet.engine INFO: Epoch: [290] [320/732] learning_rate: 0.016000 loss_vfl: 0.868021 loss_bbox: 0.412905 loss_dfl: 0.389745 loss: 1.669017 eta: 1:49:29 batch_cost: 0.6645 data_cost: 0.0014 ips: 60.1959 images/s
[07/29 07:30:50] ppdet.engine INFO: Epoch: [290] [340/732] learning_rate: 0.016000 loss_vfl: 0.837549 loss_bbox: 0.412374 loss_dfl: 0.375916 loss: 1.601346 eta: 1:49:10 batch_cost: 0.6483 data_cost: 0.0003 ips: 61.7032 images/s
[07/29 07:31:05] ppdet.engine INFO: Epoch: [290] [360/732] learning_rate: 0.016000 loss_vfl: 0.850049 loss_bbox: 0.414030 loss_dfl: 0.386767 loss: 1.643889 eta: 1:48:51 batch_cost: 0.6295 data_cost: 0.0003 ips: 63.5448 images/s
[07/29 07:31:21] ppdet.engine INFO: Epoch: [290] [380/732] learning_rate: 0.016000 loss_vfl: 0.883106 loss_bbox: 0.406995 loss_dfl: 0.402932 loss: 1.698592 eta: 1:48:32 batch_cost: 0.6550 data_cost: 0.0003 ips: 61.0710 images/s
[07/29 07:31:36] ppdet.engine INFO: Epoch: [290] [400/732] learning_rate: 0.016000 loss_vfl: 0.868443 loss_bbox: 0.423840 loss_dfl: 0.400994 loss: 1.699840 eta: 1:48:13 batch_cost: 0.6095 data_cost: 0.0003 ips: 65.6310 images/s
[07/29 07:31:51] ppdet.engine INFO: Epoch: [290] [420/732] learning_rate: 0.016000 loss_vfl: 0.926239 loss_bbox: 0.445965 loss_dfl: 0.409498 loss: 1.752598 eta: 1:47:54 batch_cost: 0.6212 data_cost: 0.0003 ips: 64.3944 images/s
[07/29 07:32:06] ppdet.engine INFO: Epoch: [290] [440/732] learning_rate: 0.016000 loss_vfl: 0.865594 loss_bbox: 0.428810 loss_dfl: 0.393101 loss: 1.688373 eta: 1:47:35 batch_cost: 0.6417 data_cost: 0.0003 ips: 62.3299 images/s
[07/29 07:32:21] ppdet.engine INFO: Epoch: [290] [460/732] learning_rate: 0.016000 loss_vfl: 0.897062 loss_bbox: 0.455163 loss_dfl: 0.404714 loss: 1.744107 eta: 1:47:16 batch_cost: 0.5836 data_cost: 0.0003 ips: 68.5407 images/s
[07/29 07:32:36] ppdet.engine INFO: Epoch: [290] [480/732] learning_rate: 0.016000 loss_vfl: 0.872305 loss_bbox: 0.428717 loss_dfl: 0.391478 loss: 1.721134 eta: 1:46:57 batch_cost: 0.6107 data_cost: 0.0003 ips: 65.4976 images/s
[07/29 07:32:51] ppdet.engine INFO: Epoch: [290] [500/732] learning_rate: 0.016000 loss_vfl: 0.867081 loss_bbox: 0.438101 loss_dfl: 0.393854 loss: 1.678282 eta: 1:46:38 batch_cost: 0.5973 data_cost: 0.0004 ips: 66.9688 images/s
[07/29 07:33:06] ppdet.engine INFO: Epoch: [290] [520/732] learning_rate: 0.016000 loss_vfl: 0.905421 loss_bbox: 0.457839 loss_dfl: 0.426907 loss: 1.769321 eta: 1:46:19 batch_cost: 0.6304 data_cost: 0.0033 ips: 63.4480 images/s
[07/29 07:33:21] ppdet.engine INFO: Epoch: [290] [540/732] learning_rate: 0.016000 loss_vfl: 0.886897 loss_bbox: 0.440412 loss_dfl: 0.411682 loss: 1.744872 eta: 1:46:00 batch_cost: 0.6210 data_cost: 0.0003 ips: 64.4171 images/s
[07/29 07:33:37] ppdet.engine INFO: Epoch: [290] [560/732] learning_rate: 0.016000 loss_vfl: 0.898412 loss_bbox: 0.441765 loss_dfl: 0.412981 loss: 1.737300 eta: 1:45:41 batch_cost: 0.6847 data_cost: 0.0013 ips: 58.4217 images/s
[07/29 07:33:53] ppdet.engine INFO: Epoch: [290] [580/732] learning_rate: 0.016000 loss_vfl: 0.860605 loss_bbox: 0.424072 loss_dfl: 0.402294 loss: 1.697398 eta: 1:45:22 batch_cost: 0.6126 data_cost: 0.0004 ips: 65.2913 images/s
[07/29 07:34:08] ppdet.engine INFO: Epoch: [290] [600/732] learning_rate: 0.016000 loss_vfl: 0.889730 loss_bbox: 0.455946 loss_dfl: 0.408872 loss: 1.749390 eta: 1:45:03 batch_cost: 0.6238 data_cost: 0.0010 ips: 64.1243 images/s
[07/29 07:34:22] ppdet.engine INFO: Epoch: [290] [620/732] learning_rate: 0.016000 loss_vfl: 0.941374 loss_bbox: 0.442373 loss_dfl: 0.411417 loss: 1.809121 eta: 1:44:44 batch_cost: 0.6170 data_cost: 0.0015 ips: 64.8248 images/s
[07/29 07:34:37] ppdet.engine INFO: Epoch: [290] [640/732] learning_rate: 0.016000 loss_vfl: 0.881580 loss_bbox: 0.414333 loss_dfl: 0.400110 loss: 1.742602 eta: 1:44:25 batch_cost: 0.6278 data_cost: 0.0003 ips: 63.7127 images/s
[07/29 07:34:53] ppdet.engine INFO: Epoch: [290] [660/732] learning_rate: 0.016000 loss_vfl: 0.898965 loss_bbox: 0.443551 loss_dfl: 0.404039 loss: 1.736977 eta: 1:44:06 batch_cost: 0.6458 data_cost: 0.0003 ips: 61.9392 images/s
[07/29 07:35:09] ppdet.engine INFO: Epoch: [290] [680/732] learning_rate: 0.016000 loss_vfl: 0.884738 loss_bbox: 0.454997 loss_dfl: 0.403398 loss: 1.725477 eta: 1:43:47 batch_cost: 0.6368 data_cost: 0.0010 ips: 62.8128 images/s
[07/29 07:35:24] ppdet.engine INFO: Epoch: [290] [700/732] learning_rate: 0.016000 loss_vfl: 0.895146 loss_bbox: 0.426043 loss_dfl: 0.404068 loss: 1.728180 eta: 1:43:28 batch_cost: 0.6261 data_cost: 0.0003 ips: 63.8901 images/s
[07/29 07:35:38] ppdet.engine INFO: Epoch: [290] [720/732] learning_rate: 0.016000 loss_vfl: 0.906244 loss_bbox: 0.420271 loss_dfl: 0.400877 loss: 1.716578 eta: 1:43:09 batch_cost: 0.5721 data_cost: 0.0004 ips: 69.9180 images/s
[07/29 07:35:52] ppdet.engine INFO: Epoch: [291] [  0/732] learning_rate: 0.016000 loss_vfl: 0.898147 loss_bbox: 0.436870 loss_dfl: 0.414557 loss: 1.759507 eta: 1:42:58 batch_cost: 0.8018 data_cost: 0.2143 ips: 49.8849 images/s
[07/29 07:36:09] ppdet.engine INFO: Epoch: [291] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.869966 loss_bbox: 0.431603 loss_dfl: 0.408915 loss: 1.727751 eta: 1:42:39 batch_cost: 0.6677 data_cost: 0.0004 ips: 59.9040 images/s
[07/29 07:36:25] ppdet.engine INFO: Epoch: [291] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.880592 loss_bbox: 0.434498 loss_dfl: 0.404226 loss: 1.703240 eta: 1:42:20 batch_cost: 0.6437 data_cost: 0.0003 ips: 62.1433 images/s
[07/29 07:36:41] ppdet.engine INFO: Epoch: [291] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.923506 loss_bbox: 0.446476 loss_dfl: 0.424953 loss: 1.790524 eta: 1:42:01 batch_cost: 0.6426 data_cost: 0.0006 ips: 62.2437 images/s
[07/29 07:36:58] ppdet.engine INFO: Epoch: [291] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.896389 loss_bbox: 0.430314 loss_dfl: 0.413889 loss: 1.740729 eta: 1:41:42 batch_cost: 0.6804 data_cost: 0.0014 ips: 58.7931 images/s
[07/29 07:37:13] ppdet.engine INFO: Epoch: [291] [100/732] learning_rate: 0.016000 loss_vfl: 0.840463 loss_bbox: 0.410972 loss_dfl: 0.381467 loss: 1.617255 eta: 1:41:23 batch_cost: 0.6385 data_cost: 0.0013 ips: 62.6473 images/s
[07/29 07:37:28] ppdet.engine INFO: Epoch: [291] [120/732] learning_rate: 0.016000 loss_vfl: 0.850633 loss_bbox: 0.423716 loss_dfl: 0.388070 loss: 1.667175 eta: 1:41:04 batch_cost: 0.5947 data_cost: 0.0017 ips: 67.2645 images/s
[07/29 07:37:43] ppdet.engine INFO: Epoch: [291] [140/732] learning_rate: 0.016000 loss_vfl: 0.858304 loss_bbox: 0.432226 loss_dfl: 0.398264 loss: 1.680430 eta: 1:40:46 batch_cost: 0.6064 data_cost: 0.0016 ips: 65.9640 images/s
[07/29 07:37:57] ppdet.engine INFO: Epoch: [291] [160/732] learning_rate: 0.016000 loss_vfl: 0.841203 loss_bbox: 0.410149 loss_dfl: 0.385770 loss: 1.640636 eta: 1:40:27 batch_cost: 0.6171 data_cost: 0.0003 ips: 64.8242 images/s
[07/29 07:38:13] ppdet.engine INFO: Epoch: [291] [180/732] learning_rate: 0.016000 loss_vfl: 0.883878 loss_bbox: 0.438676 loss_dfl: 0.410988 loss: 1.734172 eta: 1:40:08 batch_cost: 0.6615 data_cost: 0.0003 ips: 60.4709 images/s
[07/29 07:38:28] ppdet.engine INFO: Epoch: [291] [200/732] learning_rate: 0.016000 loss_vfl: 0.900601 loss_bbox: 0.453577 loss_dfl: 0.423214 loss: 1.770749 eta: 1:39:49 batch_cost: 0.5948 data_cost: 0.0019 ips: 67.2444 images/s
[07/29 07:38:43] ppdet.engine INFO: Epoch: [291] [220/732] learning_rate: 0.016000 loss_vfl: 0.894347 loss_bbox: 0.448270 loss_dfl: 0.409566 loss: 1.741044 eta: 1:39:30 batch_cost: 0.6159 data_cost: 0.0016 ips: 64.9414 images/s
[07/29 07:38:58] ppdet.engine INFO: Epoch: [291] [240/732] learning_rate: 0.016000 loss_vfl: 0.917742 loss_bbox: 0.463274 loss_dfl: 0.423765 loss: 1.820687 eta: 1:39:11 batch_cost: 0.6516 data_cost: 0.0016 ips: 61.3894 images/s
[07/29 07:39:13] ppdet.engine INFO: Epoch: [291] [260/732] learning_rate: 0.016000 loss_vfl: 0.879617 loss_bbox: 0.450115 loss_dfl: 0.421563 loss: 1.777906 eta: 1:38:52 batch_cost: 0.6241 data_cost: 0.0004 ips: 64.0892 images/s
[07/29 07:39:28] ppdet.engine INFO: Epoch: [291] [280/732] learning_rate: 0.016000 loss_vfl: 0.891994 loss_bbox: 0.430266 loss_dfl: 0.411395 loss: 1.740009 eta: 1:38:33 batch_cost: 0.6021 data_cost: 0.0032 ips: 66.4303 images/s
[07/29 07:39:45] ppdet.engine INFO: Epoch: [291] [300/732] learning_rate: 0.016000 loss_vfl: 0.880065 loss_bbox: 0.418777 loss_dfl: 0.396479 loss: 1.690869 eta: 1:38:14 batch_cost: 0.6874 data_cost: 0.0006 ips: 58.1868 images/s
[07/29 07:39:59] ppdet.engine INFO: Epoch: [291] [320/732] learning_rate: 0.016000 loss_vfl: 0.934100 loss_bbox: 0.454983 loss_dfl: 0.424687 loss: 1.790129 eta: 1:37:55 batch_cost: 0.6082 data_cost: 0.0012 ips: 65.7677 images/s
[07/29 07:40:14] ppdet.engine INFO: Epoch: [291] [340/732] learning_rate: 0.016000 loss_vfl: 0.950648 loss_bbox: 0.488037 loss_dfl: 0.446026 loss: 1.888139 eta: 1:37:36 batch_cost: 0.5983 data_cost: 0.0021 ips: 66.8534 images/s
[07/29 07:40:29] ppdet.engine INFO: Epoch: [291] [360/732] learning_rate: 0.016000 loss_vfl: 0.875611 loss_bbox: 0.445040 loss_dfl: 0.410763 loss: 1.742097 eta: 1:37:17 batch_cost: 0.6448 data_cost: 0.0012 ips: 62.0343 images/s
[07/29 07:40:44] ppdet.engine INFO: Epoch: [291] [380/732] learning_rate: 0.016000 loss_vfl: 0.882074 loss_bbox: 0.434498 loss_dfl: 0.402709 loss: 1.714582 eta: 1:36:58 batch_cost: 0.6150 data_cost: 0.0016 ips: 65.0405 images/s
[07/29 07:40:59] ppdet.engine INFO: Epoch: [291] [400/732] learning_rate: 0.016000 loss_vfl: 0.907157 loss_bbox: 0.433528 loss_dfl: 0.396972 loss: 1.718054 eta: 1:36:39 batch_cost: 0.5900 data_cost: 0.0016 ips: 67.7929 images/s
[07/29 07:41:14] ppdet.engine INFO: Epoch: [291] [420/732] learning_rate: 0.016000 loss_vfl: 0.871718 loss_bbox: 0.430732 loss_dfl: 0.397751 loss: 1.692783 eta: 1:36:20 batch_cost: 0.6218 data_cost: 0.0004 ips: 64.3303 images/s
[07/29 07:41:29] ppdet.engine INFO: Epoch: [291] [440/732] learning_rate: 0.016000 loss_vfl: 0.850807 loss_bbox: 0.425047 loss_dfl: 0.392121 loss: 1.649712 eta: 1:36:01 batch_cost: 0.6201 data_cost: 0.0013 ips: 64.5034 images/s
[07/29 07:41:45] ppdet.engine INFO: Epoch: [291] [460/732] learning_rate: 0.016000 loss_vfl: 0.862701 loss_bbox: 0.414130 loss_dfl: 0.396980 loss: 1.686826 eta: 1:35:43 batch_cost: 0.6827 data_cost: 0.0003 ips: 58.5891 images/s
[07/29 07:42:00] ppdet.engine INFO: Epoch: [291] [480/732] learning_rate: 0.016000 loss_vfl: 0.852161 loss_bbox: 0.443393 loss_dfl: 0.401012 loss: 1.702862 eta: 1:35:24 batch_cost: 0.6509 data_cost: 0.0011 ips: 61.4532 images/s
[07/29 07:42:15] ppdet.engine INFO: Epoch: [291] [500/732] learning_rate: 0.016000 loss_vfl: 0.911292 loss_bbox: 0.443728 loss_dfl: 0.414440 loss: 1.772051 eta: 1:35:05 batch_cost: 0.5838 data_cost: 0.0010 ips: 68.5206 images/s
[07/29 07:42:30] ppdet.engine INFO: Epoch: [291] [520/732] learning_rate: 0.016000 loss_vfl: 0.869355 loss_bbox: 0.434427 loss_dfl: 0.401514 loss: 1.715591 eta: 1:34:46 batch_cost: 0.6365 data_cost: 0.0004 ips: 62.8405 images/s
[07/29 07:42:44] ppdet.engine INFO: Epoch: [291] [540/732] learning_rate: 0.016000 loss_vfl: 0.932065 loss_bbox: 0.443843 loss_dfl: 0.411348 loss: 1.812866 eta: 1:34:27 batch_cost: 0.5919 data_cost: 0.0004 ips: 67.5782 images/s
[07/29 07:42:59] ppdet.engine INFO: Epoch: [291] [560/732] learning_rate: 0.016000 loss_vfl: 0.894600 loss_bbox: 0.439629 loss_dfl: 0.405365 loss: 1.721788 eta: 1:34:08 batch_cost: 0.5922 data_cost: 0.0036 ips: 67.5490 images/s
[07/29 07:43:14] ppdet.engine INFO: Epoch: [291] [580/732] learning_rate: 0.016000 loss_vfl: 0.927245 loss_bbox: 0.449088 loss_dfl: 0.411190 loss: 1.784964 eta: 1:33:49 batch_cost: 0.6213 data_cost: 0.0004 ips: 64.3773 images/s
[07/29 07:43:28] ppdet.engine INFO: Epoch: [291] [600/732] learning_rate: 0.016000 loss_vfl: 0.940896 loss_bbox: 0.452888 loss_dfl: 0.427076 loss: 1.848028 eta: 1:33:30 batch_cost: 0.5631 data_cost: 0.0003 ips: 71.0411 images/s
[07/29 07:43:44] ppdet.engine INFO: Epoch: [291] [620/732] learning_rate: 0.016000 loss_vfl: 0.845801 loss_bbox: 0.403936 loss_dfl: 0.384404 loss: 1.604169 eta: 1:33:11 batch_cost: 0.6438 data_cost: 0.0018 ips: 62.1289 images/s
[07/29 07:43:59] ppdet.engine INFO: Epoch: [291] [640/732] learning_rate: 0.016000 loss_vfl: 0.886195 loss_bbox: 0.417900 loss_dfl: 0.400934 loss: 1.714089 eta: 1:32:52 batch_cost: 0.6224 data_cost: 0.0006 ips: 64.2698 images/s
[07/29 07:44:13] ppdet.engine INFO: Epoch: [291] [660/732] learning_rate: 0.016000 loss_vfl: 0.871698 loss_bbox: 0.421741 loss_dfl: 0.392608 loss: 1.671614 eta: 1:32:33 batch_cost: 0.5795 data_cost: 0.0003 ips: 69.0206 images/s
[07/29 07:44:26] ppdet.engine INFO: Epoch: [291] [680/732] learning_rate: 0.016000 loss_vfl: 0.888408 loss_bbox: 0.439800 loss_dfl: 0.411235 loss: 1.739472 eta: 1:32:14 batch_cost: 0.5428 data_cost: 0.0008 ips: 73.6852 images/s
[07/29 07:44:41] ppdet.engine INFO: Epoch: [291] [700/732] learning_rate: 0.016000 loss_vfl: 0.903643 loss_bbox: 0.448406 loss_dfl: 0.414526 loss: 1.773136 eta: 1:31:55 batch_cost: 0.6077 data_cost: 0.0003 ips: 65.8266 images/s
[07/29 07:44:56] ppdet.engine INFO: Epoch: [291] [720/732] learning_rate: 0.016000 loss_vfl: 0.841187 loss_bbox: 0.433578 loss_dfl: 0.385595 loss: 1.640414 eta: 1:31:37 batch_cost: 0.6518 data_cost: 0.0005 ips: 61.3711 images/s
[07/29 07:45:10] ppdet.engine INFO: Epoch: [292] [  0/732] learning_rate: 0.016000 loss_vfl: 0.915606 loss_bbox: 0.441236 loss_dfl: 0.407983 loss: 1.754768 eta: 1:31:25 batch_cost: 0.8285 data_cost: 0.1652 ips: 48.2818 images/s
[07/29 07:45:27] ppdet.engine INFO: Epoch: [292] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.870255 loss_bbox: 0.413979 loss_dfl: 0.389762 loss: 1.674908 eta: 1:31:06 batch_cost: 0.6928 data_cost: 0.0024 ips: 57.7377 images/s
[07/29 07:45:43] ppdet.engine INFO: Epoch: [292] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.816003 loss_bbox: 0.381313 loss_dfl: 0.372458 loss: 1.566984 eta: 1:30:48 batch_cost: 0.5927 data_cost: 0.0003 ips: 67.4839 images/s
[07/29 07:45:59] ppdet.engine INFO: Epoch: [292] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.874928 loss_bbox: 0.435789 loss_dfl: 0.404404 loss: 1.723152 eta: 1:30:29 batch_cost: 0.6644 data_cost: 0.0035 ips: 60.2036 images/s
[07/29 07:46:14] ppdet.engine INFO: Epoch: [292] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.877465 loss_bbox: 0.445841 loss_dfl: 0.412985 loss: 1.750046 eta: 1:30:10 batch_cost: 0.6009 data_cost: 0.0003 ips: 66.5680 images/s
[07/29 07:46:27] ppdet.engine INFO: Epoch: [292] [100/732] learning_rate: 0.016000 loss_vfl: 0.878251 loss_bbox: 0.449578 loss_dfl: 0.408493 loss: 1.741983 eta: 1:29:51 batch_cost: 0.5802 data_cost: 0.0003 ips: 68.9359 images/s
[07/29 07:46:43] ppdet.engine INFO: Epoch: [292] [120/732] learning_rate: 0.016000 loss_vfl: 0.921641 loss_bbox: 0.446170 loss_dfl: 0.417912 loss: 1.787012 eta: 1:29:32 batch_cost: 0.6600 data_cost: 0.0009 ips: 60.6081 images/s
[07/29 07:46:57] ppdet.engine INFO: Epoch: [292] [140/732] learning_rate: 0.016000 loss_vfl: 0.861175 loss_bbox: 0.457852 loss_dfl: 0.407489 loss: 1.726790 eta: 1:29:13 batch_cost: 0.5623 data_cost: 0.0004 ips: 71.1360 images/s
[07/29 07:47:12] ppdet.engine INFO: Epoch: [292] [160/732] learning_rate: 0.016000 loss_vfl: 0.886973 loss_bbox: 0.455544 loss_dfl: 0.416615 loss: 1.778805 eta: 1:28:54 batch_cost: 0.6182 data_cost: 0.0009 ips: 64.7007 images/s
[07/29 07:47:27] ppdet.engine INFO: Epoch: [292] [180/732] learning_rate: 0.016000 loss_vfl: 0.878090 loss_bbox: 0.440174 loss_dfl: 0.405631 loss: 1.725539 eta: 1:28:35 batch_cost: 0.5585 data_cost: 0.0007 ips: 71.6234 images/s
[07/29 07:47:42] ppdet.engine INFO: Epoch: [292] [200/732] learning_rate: 0.016000 loss_vfl: 0.906470 loss_bbox: 0.449407 loss_dfl: 0.419282 loss: 1.807534 eta: 1:28:16 batch_cost: 0.6262 data_cost: 0.0010 ips: 63.8786 images/s
[07/29 07:47:57] ppdet.engine INFO: Epoch: [292] [220/732] learning_rate: 0.016000 loss_vfl: 0.945127 loss_bbox: 0.434055 loss_dfl: 0.417484 loss: 1.798300 eta: 1:27:57 batch_cost: 0.6535 data_cost: 0.0008 ips: 61.2118 images/s
[07/29 07:48:14] ppdet.engine INFO: Epoch: [292] [240/732] learning_rate: 0.016000 loss_vfl: 0.876459 loss_bbox: 0.418827 loss_dfl: 0.388770 loss: 1.664649 eta: 1:27:39 batch_cost: 0.6792 data_cost: 0.0010 ips: 58.8912 images/s
[07/29 07:48:29] ppdet.engine INFO: Epoch: [292] [260/732] learning_rate: 0.016000 loss_vfl: 0.903404 loss_bbox: 0.461166 loss_dfl: 0.416586 loss: 1.779583 eta: 1:27:20 batch_cost: 0.6330 data_cost: 0.0010 ips: 63.1945 images/s
[07/29 07:48:43] ppdet.engine INFO: Epoch: [292] [280/732] learning_rate: 0.016000 loss_vfl: 0.875132 loss_bbox: 0.429946 loss_dfl: 0.394399 loss: 1.692261 eta: 1:27:01 batch_cost: 0.6177 data_cost: 0.0050 ips: 64.7546 images/s
[07/29 07:48:57] ppdet.engine INFO: Epoch: [292] [300/732] learning_rate: 0.016000 loss_vfl: 0.903841 loss_bbox: 0.459134 loss_dfl: 0.403816 loss: 1.752703 eta: 1:26:42 batch_cost: 0.5580 data_cost: 0.0014 ips: 71.6798 images/s
[07/29 07:49:12] ppdet.engine INFO: Epoch: [292] [320/732] learning_rate: 0.016000 loss_vfl: 0.857326 loss_bbox: 0.410580 loss_dfl: 0.380887 loss: 1.641430 eta: 1:26:23 batch_cost: 0.5918 data_cost: 0.0003 ips: 67.5939 images/s
[07/29 07:49:26] ppdet.engine INFO: Epoch: [292] [340/732] learning_rate: 0.016000 loss_vfl: 0.884747 loss_bbox: 0.449839 loss_dfl: 0.417888 loss: 1.761074 eta: 1:26:04 batch_cost: 0.5909 data_cost: 0.0003 ips: 67.6930 images/s
[07/29 07:49:42] ppdet.engine INFO: Epoch: [292] [360/732] learning_rate: 0.016000 loss_vfl: 0.905277 loss_bbox: 0.443605 loss_dfl: 0.409637 loss: 1.768533 eta: 1:25:45 batch_cost: 0.6088 data_cost: 0.0003 ips: 65.7027 images/s
[07/29 07:49:57] ppdet.engine INFO: Epoch: [292] [380/732] learning_rate: 0.016000 loss_vfl: 0.885001 loss_bbox: 0.422026 loss_dfl: 0.402515 loss: 1.716409 eta: 1:25:26 batch_cost: 0.6373 data_cost: 0.0027 ips: 62.7637 images/s
[07/29 07:50:11] ppdet.engine INFO: Epoch: [292] [400/732] learning_rate: 0.016000 loss_vfl: 0.922892 loss_bbox: 0.451272 loss_dfl: 0.430369 loss: 1.818930 eta: 1:25:07 batch_cost: 0.5487 data_cost: 0.0009 ips: 72.8949 images/s
[07/29 07:50:27] ppdet.engine INFO: Epoch: [292] [420/732] learning_rate: 0.016000 loss_vfl: 0.908757 loss_bbox: 0.437681 loss_dfl: 0.414010 loss: 1.777466 eta: 1:24:48 batch_cost: 0.6560 data_cost: 0.0003 ips: 60.9727 images/s
[07/29 07:50:41] ppdet.engine INFO: Epoch: [292] [440/732] learning_rate: 0.016000 loss_vfl: 0.882618 loss_bbox: 0.448963 loss_dfl: 0.402759 loss: 1.705835 eta: 1:24:30 batch_cost: 0.5991 data_cost: 0.0003 ips: 66.7641 images/s
[07/29 07:50:56] ppdet.engine INFO: Epoch: [292] [460/732] learning_rate: 0.016000 loss_vfl: 0.881263 loss_bbox: 0.425771 loss_dfl: 0.403303 loss: 1.720333 eta: 1:24:11 batch_cost: 0.5982 data_cost: 0.0007 ips: 66.8619 images/s
[07/29 07:51:12] ppdet.engine INFO: Epoch: [292] [480/732] learning_rate: 0.016000 loss_vfl: 0.874755 loss_bbox: 0.429026 loss_dfl: 0.403135 loss: 1.701826 eta: 1:23:52 batch_cost: 0.6351 data_cost: 0.0003 ips: 62.9818 images/s
[07/29 07:51:27] ppdet.engine INFO: Epoch: [292] [500/732] learning_rate: 0.016000 loss_vfl: 0.877931 loss_bbox: 0.462142 loss_dfl: 0.418801 loss: 1.784112 eta: 1:23:33 batch_cost: 0.6100 data_cost: 0.0003 ips: 65.5708 images/s
[07/29 07:51:41] ppdet.engine INFO: Epoch: [292] [520/732] learning_rate: 0.016000 loss_vfl: 0.941022 loss_bbox: 0.462464 loss_dfl: 0.429629 loss: 1.825321 eta: 1:23:14 batch_cost: 0.6228 data_cost: 0.0003 ips: 64.2245 images/s
[07/29 07:51:55] ppdet.engine INFO: Epoch: [292] [540/732] learning_rate: 0.016000 loss_vfl: 0.843838 loss_bbox: 0.429620 loss_dfl: 0.382581 loss: 1.660732 eta: 1:22:55 batch_cost: 0.5715 data_cost: 0.0009 ips: 69.9886 images/s
[07/29 07:52:10] ppdet.engine INFO: Epoch: [292] [560/732] learning_rate: 0.016000 loss_vfl: 0.857990 loss_bbox: 0.413362 loss_dfl: 0.381846 loss: 1.656963 eta: 1:22:36 batch_cost: 0.6006 data_cost: 0.0006 ips: 66.6040 images/s
[07/29 07:52:26] ppdet.engine INFO: Epoch: [292] [580/732] learning_rate: 0.016000 loss_vfl: 0.890135 loss_bbox: 0.411127 loss_dfl: 0.400278 loss: 1.736294 eta: 1:22:17 batch_cost: 0.6388 data_cost: 0.0006 ips: 62.6184 images/s
[07/29 07:52:41] ppdet.engine INFO: Epoch: [292] [600/732] learning_rate: 0.016000 loss_vfl: 0.909418 loss_bbox: 0.448116 loss_dfl: 0.418547 loss: 1.800069 eta: 1:21:59 batch_cost: 0.6584 data_cost: 0.0003 ips: 60.7519 images/s
[07/29 07:52:56] ppdet.engine INFO: Epoch: [292] [620/732] learning_rate: 0.016000 loss_vfl: 0.848590 loss_bbox: 0.415474 loss_dfl: 0.389855 loss: 1.640195 eta: 1:21:40 batch_cost: 0.6210 data_cost: 0.0003 ips: 64.4098 images/s
[07/29 07:53:10] ppdet.engine INFO: Epoch: [292] [640/732] learning_rate: 0.016000 loss_vfl: 0.896398 loss_bbox: 0.462341 loss_dfl: 0.407681 loss: 1.762441 eta: 1:21:21 batch_cost: 0.5847 data_cost: 0.0014 ips: 68.4105 images/s
[07/29 07:53:25] ppdet.engine INFO: Epoch: [292] [660/732] learning_rate: 0.016000 loss_vfl: 0.905633 loss_bbox: 0.445180 loss_dfl: 0.420157 loss: 1.796943 eta: 1:21:02 batch_cost: 0.6153 data_cost: 0.0014 ips: 65.0071 images/s
[07/29 07:53:40] ppdet.engine INFO: Epoch: [292] [680/732] learning_rate: 0.016000 loss_vfl: 0.900177 loss_bbox: 0.452723 loss_dfl: 0.406275 loss: 1.749997 eta: 1:20:43 batch_cost: 0.5984 data_cost: 0.0010 ips: 66.8449 images/s
[07/29 07:53:54] ppdet.engine INFO: Epoch: [292] [700/732] learning_rate: 0.016000 loss_vfl: 0.849622 loss_bbox: 0.422343 loss_dfl: 0.384760 loss: 1.662784 eta: 1:20:24 batch_cost: 0.5937 data_cost: 0.0003 ips: 67.3751 images/s
[07/29 07:54:09] ppdet.engine INFO: Epoch: [292] [720/732] learning_rate: 0.016000 loss_vfl: 0.912322 loss_bbox: 0.450834 loss_dfl: 0.418772 loss: 1.782686 eta: 1:20:05 batch_cost: 0.6160 data_cost: 0.0004 ips: 64.9327 images/s
[07/29 07:54:23] ppdet.engine INFO: Epoch: [293] [  0/732] learning_rate: 0.016000 loss_vfl: 0.935133 loss_bbox: 0.459531 loss_dfl: 0.422691 loss: 1.836475 eta: 1:19:54 batch_cost: 0.8061 data_cost: 0.2535 ips: 49.6204 images/s
[07/29 07:54:40] ppdet.engine INFO: Epoch: [293] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.830902 loss_bbox: 0.412757 loss_dfl: 0.384918 loss: 1.627850 eta: 1:19:35 batch_cost: 0.6639 data_cost: 0.0003 ips: 60.2501 images/s
[07/29 07:54:55] ppdet.engine INFO: Epoch: [293] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.889376 loss_bbox: 0.432380 loss_dfl: 0.394051 loss: 1.708001 eta: 1:19:16 batch_cost: 0.6236 data_cost: 0.0003 ips: 64.1386 images/s
[07/29 07:55:09] ppdet.engine INFO: Epoch: [293] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.914289 loss_bbox: 0.435398 loss_dfl: 0.411540 loss: 1.745933 eta: 1:18:57 batch_cost: 0.5827 data_cost: 0.0003 ips: 68.6494 images/s
[07/29 07:55:25] ppdet.engine INFO: Epoch: [293] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.911430 loss_bbox: 0.434856 loss_dfl: 0.408698 loss: 1.766156 eta: 1:18:39 batch_cost: 0.6066 data_cost: 0.0019 ips: 65.9444 images/s
[07/29 07:55:40] ppdet.engine INFO: Epoch: [293] [100/732] learning_rate: 0.016000 loss_vfl: 0.859295 loss_bbox: 0.412389 loss_dfl: 0.396039 loss: 1.684731 eta: 1:18:20 batch_cost: 0.5971 data_cost: 0.0003 ips: 66.9876 images/s
[07/29 07:55:55] ppdet.engine INFO: Epoch: [293] [120/732] learning_rate: 0.016000 loss_vfl: 0.920304 loss_bbox: 0.446336 loss_dfl: 0.415324 loss: 1.770027 eta: 1:18:01 batch_cost: 0.6171 data_cost: 0.0017 ips: 64.8236 images/s
[07/29 07:56:09] ppdet.engine INFO: Epoch: [293] [140/732] learning_rate: 0.016000 loss_vfl: 0.859767 loss_bbox: 0.428769 loss_dfl: 0.400045 loss: 1.680781 eta: 1:17:42 batch_cost: 0.5870 data_cost: 0.0009 ips: 68.1397 images/s
[07/29 07:56:24] ppdet.engine INFO: Epoch: [293] [160/732] learning_rate: 0.016000 loss_vfl: 0.870106 loss_bbox: 0.424698 loss_dfl: 0.387531 loss: 1.675518 eta: 1:17:23 batch_cost: 0.5977 data_cost: 0.0003 ips: 66.9203 images/s
[07/29 07:56:38] ppdet.engine INFO: Epoch: [293] [180/732] learning_rate: 0.016000 loss_vfl: 0.900660 loss_bbox: 0.445618 loss_dfl: 0.418198 loss: 1.790250 eta: 1:17:04 batch_cost: 0.5715 data_cost: 0.0004 ips: 69.9852 images/s
[07/29 07:56:54] ppdet.engine INFO: Epoch: [293] [200/732] learning_rate: 0.016000 loss_vfl: 0.917269 loss_bbox: 0.455110 loss_dfl: 0.425453 loss: 1.810301 eta: 1:16:45 batch_cost: 0.6502 data_cost: 0.0003 ips: 61.5218 images/s
[07/29 07:57:09] ppdet.engine INFO: Epoch: [293] [220/732] learning_rate: 0.016000 loss_vfl: 0.844356 loss_bbox: 0.414021 loss_dfl: 0.382344 loss: 1.615330 eta: 1:16:27 batch_cost: 0.5916 data_cost: 0.0011 ips: 67.6113 images/s
[07/29 07:57:23] ppdet.engine INFO: Epoch: [293] [240/732] learning_rate: 0.016000 loss_vfl: 0.921364 loss_bbox: 0.459286 loss_dfl: 0.416179 loss: 1.803473 eta: 1:16:08 batch_cost: 0.5619 data_cost: 0.0007 ips: 71.1924 images/s
[07/29 07:57:36] ppdet.engine INFO: Epoch: [293] [260/732] learning_rate: 0.016000 loss_vfl: 0.862731 loss_bbox: 0.405335 loss_dfl: 0.385535 loss: 1.648528 eta: 1:15:49 batch_cost: 0.5488 data_cost: 0.0011 ips: 72.8836 images/s
[07/29 07:57:51] ppdet.engine INFO: Epoch: [293] [280/732] learning_rate: 0.016000 loss_vfl: 0.898807 loss_bbox: 0.463051 loss_dfl: 0.420900 loss: 1.773525 eta: 1:15:30 batch_cost: 0.6042 data_cost: 0.0003 ips: 66.2051 images/s
[07/29 07:58:06] ppdet.engine INFO: Epoch: [293] [300/732] learning_rate: 0.016000 loss_vfl: 0.859752 loss_bbox: 0.430064 loss_dfl: 0.392538 loss: 1.674670 eta: 1:15:11 batch_cost: 0.6459 data_cost: 0.0003 ips: 61.9278 images/s
[07/29 07:58:21] ppdet.engine INFO: Epoch: [293] [320/732] learning_rate: 0.016000 loss_vfl: 0.896452 loss_bbox: 0.436686 loss_dfl: 0.411694 loss: 1.760114 eta: 1:14:52 batch_cost: 0.6382 data_cost: 0.0003 ips: 62.6716 images/s
[07/29 07:58:36] ppdet.engine INFO: Epoch: [293] [340/732] learning_rate: 0.016000 loss_vfl: 0.869251 loss_bbox: 0.431981 loss_dfl: 0.390630 loss: 1.684419 eta: 1:14:33 batch_cost: 0.5833 data_cost: 0.0020 ips: 68.5793 images/s
[07/29 07:58:51] ppdet.engine INFO: Epoch: [293] [360/732] learning_rate: 0.016000 loss_vfl: 0.894153 loss_bbox: 0.435548 loss_dfl: 0.406970 loss: 1.766745 eta: 1:14:15 batch_cost: 0.6328 data_cost: 0.0003 ips: 63.2136 images/s
[07/29 07:59:06] ppdet.engine INFO: Epoch: [293] [380/732] learning_rate: 0.016000 loss_vfl: 0.901534 loss_bbox: 0.424009 loss_dfl: 0.405023 loss: 1.714181 eta: 1:13:56 batch_cost: 0.6331 data_cost: 0.0009 ips: 63.1838 images/s
[07/29 07:59:20] ppdet.engine INFO: Epoch: [293] [400/732] learning_rate: 0.016000 loss_vfl: 0.886526 loss_bbox: 0.430333 loss_dfl: 0.401812 loss: 1.721117 eta: 1:13:37 batch_cost: 0.5256 data_cost: 0.0010 ips: 76.1051 images/s
[07/29 07:59:34] ppdet.engine INFO: Epoch: [293] [420/732] learning_rate: 0.016000 loss_vfl: 0.884782 loss_bbox: 0.429855 loss_dfl: 0.403871 loss: 1.726648 eta: 1:13:18 batch_cost: 0.5468 data_cost: 0.0003 ips: 73.1536 images/s
[07/29 07:59:48] ppdet.engine INFO: Epoch: [293] [440/732] learning_rate: 0.016000 loss_vfl: 0.929641 loss_bbox: 0.468685 loss_dfl: 0.419445 loss: 1.827403 eta: 1:12:59 batch_cost: 0.5752 data_cost: 0.0003 ips: 69.5394 images/s
[07/29 08:00:03] ppdet.engine INFO: Epoch: [293] [460/732] learning_rate: 0.016000 loss_vfl: 0.932269 loss_bbox: 0.456571 loss_dfl: 0.415439 loss: 1.792329 eta: 1:12:40 batch_cost: 0.6055 data_cost: 0.0003 ips: 66.0640 images/s
[07/29 08:00:19] ppdet.engine INFO: Epoch: [293] [480/732] learning_rate: 0.016000 loss_vfl: 0.858651 loss_bbox: 0.398377 loss_dfl: 0.384384 loss: 1.648192 eta: 1:12:21 batch_cost: 0.6770 data_cost: 0.0003 ips: 59.0871 images/s
[07/29 08:00:33] ppdet.engine INFO: Epoch: [293] [500/732] learning_rate: 0.016000 loss_vfl: 0.844676 loss_bbox: 0.412441 loss_dfl: 0.390956 loss: 1.641595 eta: 1:12:03 batch_cost: 0.5787 data_cost: 0.0003 ips: 69.1213 images/s
[07/29 08:00:49] ppdet.engine INFO: Epoch: [293] [520/732] learning_rate: 0.016000 loss_vfl: 0.904562 loss_bbox: 0.445363 loss_dfl: 0.410623 loss: 1.746086 eta: 1:11:44 batch_cost: 0.6508 data_cost: 0.0022 ips: 61.4617 images/s
[07/29 08:01:04] ppdet.engine INFO: Epoch: [293] [540/732] learning_rate: 0.016000 loss_vfl: 0.881006 loss_bbox: 0.417362 loss_dfl: 0.393754 loss: 1.682750 eta: 1:11:25 batch_cost: 0.6039 data_cost: 0.0003 ips: 66.2366 images/s
[07/29 08:01:18] ppdet.engine INFO: Epoch: [293] [560/732] learning_rate: 0.016000 loss_vfl: 0.824503 loss_bbox: 0.392453 loss_dfl: 0.374297 loss: 1.600533 eta: 1:11:06 batch_cost: 0.6234 data_cost: 0.0003 ips: 64.1654 images/s
[07/29 08:01:33] ppdet.engine INFO: Epoch: [293] [580/732] learning_rate: 0.016000 loss_vfl: 0.880718 loss_bbox: 0.435593 loss_dfl: 0.411362 loss: 1.733307 eta: 1:10:47 batch_cost: 0.6290 data_cost: 0.0014 ips: 63.5944 images/s
[07/29 08:01:49] ppdet.engine INFO: Epoch: [293] [600/732] learning_rate: 0.016000 loss_vfl: 0.884994 loss_bbox: 0.445795 loss_dfl: 0.402106 loss: 1.732720 eta: 1:10:28 batch_cost: 0.6460 data_cost: 0.0003 ips: 61.9212 images/s
[07/29 08:02:03] ppdet.engine INFO: Epoch: [293] [620/732] learning_rate: 0.016000 loss_vfl: 0.900313 loss_bbox: 0.426241 loss_dfl: 0.399854 loss: 1.721795 eta: 1:10:10 batch_cost: 0.6121 data_cost: 0.0003 ips: 65.3534 images/s
[07/29 08:02:19] ppdet.engine INFO: Epoch: [293] [640/732] learning_rate: 0.016000 loss_vfl: 0.789980 loss_bbox: 0.398488 loss_dfl: 0.359135 loss: 1.562252 eta: 1:09:51 batch_cost: 0.6333 data_cost: 0.0010 ips: 63.1577 images/s
[07/29 08:02:33] ppdet.engine INFO: Epoch: [293] [660/732] learning_rate: 0.016000 loss_vfl: 0.888212 loss_bbox: 0.432481 loss_dfl: 0.398005 loss: 1.724941 eta: 1:09:32 batch_cost: 0.5755 data_cost: 0.0017 ips: 69.5007 images/s
[07/29 08:02:48] ppdet.engine INFO: Epoch: [293] [680/732] learning_rate: 0.016000 loss_vfl: 0.845514 loss_bbox: 0.416365 loss_dfl: 0.394431 loss: 1.666186 eta: 1:09:13 batch_cost: 0.6269 data_cost: 0.0015 ips: 63.8022 images/s
[07/29 08:03:03] ppdet.engine INFO: Epoch: [293] [700/732] learning_rate: 0.016000 loss_vfl: 0.895902 loss_bbox: 0.429780 loss_dfl: 0.409369 loss: 1.738110 eta: 1:08:54 batch_cost: 0.6270 data_cost: 0.0003 ips: 63.7943 images/s
[07/29 08:03:16] ppdet.engine INFO: Epoch: [293] [720/732] learning_rate: 0.016000 loss_vfl: 0.881652 loss_bbox: 0.442588 loss_dfl: 0.408308 loss: 1.729885 eta: 1:08:35 batch_cost: 0.5448 data_cost: 0.0004 ips: 73.4243 images/s
[07/29 08:03:30] ppdet.engine INFO: Epoch: [294] [  0/732] learning_rate: 0.016000 loss_vfl: 0.920770 loss_bbox: 0.452672 loss_dfl: 0.412969 loss: 1.786790 eta: 1:08:24 batch_cost: 0.7691 data_cost: 0.2293 ips: 52.0103 images/s
[07/29 08:03:48] ppdet.engine INFO: Epoch: [294] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.866416 loss_bbox: 0.454114 loss_dfl: 0.400762 loss: 1.723109 eta: 1:08:05 batch_cost: 0.7516 data_cost: 0.0016 ips: 53.2188 images/s
[07/29 08:04:04] ppdet.engine INFO: Epoch: [294] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.893950 loss_bbox: 0.443089 loss_dfl: 0.407984 loss: 1.748602 eta: 1:07:47 batch_cost: 0.6971 data_cost: 0.0003 ips: 57.3813 images/s
[07/29 08:04:19] ppdet.engine INFO: Epoch: [294] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.872280 loss_bbox: 0.428987 loss_dfl: 0.393271 loss: 1.690839 eta: 1:07:28 batch_cost: 0.5942 data_cost: 0.0013 ips: 67.3199 images/s
[07/29 08:04:34] ppdet.engine INFO: Epoch: [294] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.888205 loss_bbox: 0.433464 loss_dfl: 0.402155 loss: 1.741096 eta: 1:07:09 batch_cost: 0.6176 data_cost: 0.0005 ips: 64.7633 images/s
[07/29 08:04:50] ppdet.engine INFO: Epoch: [294] [100/732] learning_rate: 0.016000 loss_vfl: 0.864706 loss_bbox: 0.433890 loss_dfl: 0.400499 loss: 1.686867 eta: 1:06:50 batch_cost: 0.6518 data_cost: 0.0005 ips: 61.3641 images/s
[07/29 08:05:06] ppdet.engine INFO: Epoch: [294] [120/732] learning_rate: 0.016000 loss_vfl: 0.921257 loss_bbox: 0.449171 loss_dfl: 0.410712 loss: 1.763204 eta: 1:06:31 batch_cost: 0.6301 data_cost: 0.0018 ips: 63.4781 images/s
[07/29 08:05:21] ppdet.engine INFO: Epoch: [294] [140/732] learning_rate: 0.016000 loss_vfl: 0.847463 loss_bbox: 0.404341 loss_dfl: 0.383667 loss: 1.639892 eta: 1:06:13 batch_cost: 0.6083 data_cost: 0.0006 ips: 65.7557 images/s
[07/29 08:05:36] ppdet.engine INFO: Epoch: [294] [160/732] learning_rate: 0.016000 loss_vfl: 0.843241 loss_bbox: 0.422600 loss_dfl: 0.391697 loss: 1.669801 eta: 1:05:54 batch_cost: 0.6215 data_cost: 0.0027 ips: 64.3614 images/s
[07/29 08:05:52] ppdet.engine INFO: Epoch: [294] [180/732] learning_rate: 0.016000 loss_vfl: 0.852424 loss_bbox: 0.423923 loss_dfl: 0.389468 loss: 1.675984 eta: 1:05:35 batch_cost: 0.6451 data_cost: 0.0020 ips: 62.0030 images/s
[07/29 08:06:07] ppdet.engine INFO: Epoch: [294] [200/732] learning_rate: 0.016000 loss_vfl: 0.889899 loss_bbox: 0.444974 loss_dfl: 0.420942 loss: 1.757219 eta: 1:05:16 batch_cost: 0.6124 data_cost: 0.0018 ips: 65.3134 images/s
[07/29 08:06:23] ppdet.engine INFO: Epoch: [294] [220/732] learning_rate: 0.016000 loss_vfl: 0.822437 loss_bbox: 0.415180 loss_dfl: 0.382162 loss: 1.599601 eta: 1:04:57 batch_cost: 0.6477 data_cost: 0.0004 ips: 61.7594 images/s
[07/29 08:06:38] ppdet.engine INFO: Epoch: [294] [240/732] learning_rate: 0.016000 loss_vfl: 0.891146 loss_bbox: 0.435668 loss_dfl: 0.404130 loss: 1.721630 eta: 1:04:39 batch_cost: 0.6311 data_cost: 0.0003 ips: 63.3803 images/s
[07/29 08:06:53] ppdet.engine INFO: Epoch: [294] [260/732] learning_rate: 0.016000 loss_vfl: 0.859124 loss_bbox: 0.408433 loss_dfl: 0.381840 loss: 1.651132 eta: 1:04:20 batch_cost: 0.6137 data_cost: 0.0003 ips: 65.1809 images/s
[07/29 08:07:08] ppdet.engine INFO: Epoch: [294] [280/732] learning_rate: 0.016000 loss_vfl: 0.925456 loss_bbox: 0.451138 loss_dfl: 0.422736 loss: 1.835216 eta: 1:04:01 batch_cost: 0.6447 data_cost: 0.0010 ips: 62.0436 images/s
[07/29 08:07:23] ppdet.engine INFO: Epoch: [294] [300/732] learning_rate: 0.016000 loss_vfl: 0.866291 loss_bbox: 0.410196 loss_dfl: 0.379449 loss: 1.654502 eta: 1:03:42 batch_cost: 0.5973 data_cost: 0.0003 ips: 66.9669 images/s
[07/29 08:07:39] ppdet.engine INFO: Epoch: [294] [320/732] learning_rate: 0.016000 loss_vfl: 0.887337 loss_bbox: 0.400077 loss_dfl: 0.391433 loss: 1.660882 eta: 1:03:23 batch_cost: 0.6709 data_cost: 0.0004 ips: 59.6176 images/s
[07/29 08:07:55] ppdet.engine INFO: Epoch: [294] [340/732] learning_rate: 0.016000 loss_vfl: 0.923737 loss_bbox: 0.445513 loss_dfl: 0.419357 loss: 1.795346 eta: 1:03:05 batch_cost: 0.6393 data_cost: 0.0003 ips: 62.5648 images/s
[07/29 08:08:10] ppdet.engine INFO: Epoch: [294] [360/732] learning_rate: 0.016000 loss_vfl: 0.882710 loss_bbox: 0.422317 loss_dfl: 0.397838 loss: 1.694966 eta: 1:02:46 batch_cost: 0.6398 data_cost: 0.0003 ips: 62.5209 images/s
[07/29 08:08:26] ppdet.engine INFO: Epoch: [294] [380/732] learning_rate: 0.016000 loss_vfl: 0.902181 loss_bbox: 0.444545 loss_dfl: 0.416762 loss: 1.797618 eta: 1:02:27 batch_cost: 0.6467 data_cost: 0.0004 ips: 61.8543 images/s
[07/29 08:08:43] ppdet.engine INFO: Epoch: [294] [400/732] learning_rate: 0.016000 loss_vfl: 0.890741 loss_bbox: 0.425419 loss_dfl: 0.401843 loss: 1.709221 eta: 1:02:08 batch_cost: 0.6820 data_cost: 0.0011 ips: 58.6526 images/s
[07/29 08:08:58] ppdet.engine INFO: Epoch: [294] [420/732] learning_rate: 0.016000 loss_vfl: 0.838990 loss_bbox: 0.414589 loss_dfl: 0.394187 loss: 1.659534 eta: 1:01:49 batch_cost: 0.6275 data_cost: 0.0003 ips: 63.7462 images/s
[07/29 08:09:13] ppdet.engine INFO: Epoch: [294] [440/732] learning_rate: 0.016000 loss_vfl: 0.852167 loss_bbox: 0.428140 loss_dfl: 0.396123 loss: 1.680650 eta: 1:01:31 batch_cost: 0.6210 data_cost: 0.0003 ips: 64.4097 images/s
[07/29 08:09:29] ppdet.engine INFO: Epoch: [294] [460/732] learning_rate: 0.016000 loss_vfl: 0.923678 loss_bbox: 0.456905 loss_dfl: 0.421189 loss: 1.806379 eta: 1:01:12 batch_cost: 0.6557 data_cost: 0.0003 ips: 61.0001 images/s
[07/29 08:09:44] ppdet.engine INFO: Epoch: [294] [480/732] learning_rate: 0.016000 loss_vfl: 0.904649 loss_bbox: 0.422020 loss_dfl: 0.403080 loss: 1.740998 eta: 1:00:53 batch_cost: 0.6348 data_cost: 0.0003 ips: 63.0158 images/s
[07/29 08:09:59] ppdet.engine INFO: Epoch: [294] [500/732] learning_rate: 0.016000 loss_vfl: 0.928431 loss_bbox: 0.462117 loss_dfl: 0.424262 loss: 1.819053 eta: 1:00:34 batch_cost: 0.5800 data_cost: 0.0003 ips: 68.9707 images/s
[07/29 08:10:15] ppdet.engine INFO: Epoch: [294] [520/732] learning_rate: 0.016000 loss_vfl: 0.897971 loss_bbox: 0.434449 loss_dfl: 0.405959 loss: 1.743021 eta: 1:00:16 batch_cost: 0.6357 data_cost: 0.0010 ips: 62.9221 images/s
[07/29 08:10:30] ppdet.engine INFO: Epoch: [294] [540/732] learning_rate: 0.016000 loss_vfl: 0.932256 loss_bbox: 0.455573 loss_dfl: 0.420607 loss: 1.809763 eta: 0:59:57 batch_cost: 0.6355 data_cost: 0.0014 ips: 62.9461 images/s
[07/29 08:10:46] ppdet.engine INFO: Epoch: [294] [560/732] learning_rate: 0.016000 loss_vfl: 0.856227 loss_bbox: 0.412046 loss_dfl: 0.379388 loss: 1.649151 eta: 0:59:38 batch_cost: 0.6087 data_cost: 0.0012 ips: 65.7171 images/s
[07/29 08:11:02] ppdet.engine INFO: Epoch: [294] [580/732] learning_rate: 0.016000 loss_vfl: 0.942705 loss_bbox: 0.469921 loss_dfl: 0.419210 loss: 1.813960 eta: 0:59:19 batch_cost: 0.6256 data_cost: 0.0009 ips: 63.9389 images/s
[07/29 08:11:17] ppdet.engine INFO: Epoch: [294] [600/732] learning_rate: 0.016000 loss_vfl: 0.869563 loss_bbox: 0.433434 loss_dfl: 0.397290 loss: 1.688834 eta: 0:59:00 batch_cost: 0.6272 data_cost: 0.0003 ips: 63.7708 images/s
[07/29 08:11:33] ppdet.engine INFO: Epoch: [294] [620/732] learning_rate: 0.016000 loss_vfl: 0.907313 loss_bbox: 0.447052 loss_dfl: 0.410884 loss: 1.762172 eta: 0:58:42 batch_cost: 0.6455 data_cost: 0.0010 ips: 61.9709 images/s
[07/29 08:11:50] ppdet.engine INFO: Epoch: [294] [640/732] learning_rate: 0.016000 loss_vfl: 0.901611 loss_bbox: 0.450514 loss_dfl: 0.412589 loss: 1.761614 eta: 0:58:23 batch_cost: 0.6715 data_cost: 0.0004 ips: 59.5672 images/s
[07/29 08:12:04] ppdet.engine INFO: Epoch: [294] [660/732] learning_rate: 0.016000 loss_vfl: 0.913871 loss_bbox: 0.473693 loss_dfl: 0.424042 loss: 1.822668 eta: 0:58:04 batch_cost: 0.5800 data_cost: 0.0007 ips: 68.9688 images/s
[07/29 08:12:20] ppdet.engine INFO: Epoch: [294] [680/732] learning_rate: 0.016000 loss_vfl: 0.897974 loss_bbox: 0.446201 loss_dfl: 0.406634 loss: 1.730068 eta: 0:57:45 batch_cost: 0.5935 data_cost: 0.0003 ips: 67.3992 images/s
[07/29 08:12:35] ppdet.engine INFO: Epoch: [294] [700/732] learning_rate: 0.016000 loss_vfl: 0.903653 loss_bbox: 0.432894 loss_dfl: 0.398299 loss: 1.740889 eta: 0:57:26 batch_cost: 0.6465 data_cost: 0.0003 ips: 61.8678 images/s
[07/29 08:12:50] ppdet.engine INFO: Epoch: [294] [720/732] learning_rate: 0.016000 loss_vfl: 0.867966 loss_bbox: 0.433314 loss_dfl: 0.396191 loss: 1.704379 eta: 0:57:08 batch_cost: 0.6349 data_cost: 0.0004 ips: 63.0051 images/s
[07/29 08:13:04] ppdet.engine INFO: Epoch: [295] [  0/732] learning_rate: 0.016000 loss_vfl: 0.869983 loss_bbox: 0.443201 loss_dfl: 0.397897 loss: 1.719012 eta: 0:56:56 batch_cost: 0.8284 data_cost: 0.2163 ips: 48.2839 images/s
[07/29 08:13:21] ppdet.engine INFO: Epoch: [295] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.915553 loss_bbox: 0.448372 loss_dfl: 0.416803 loss: 1.780482 eta: 0:56:38 batch_cost: 0.6736 data_cost: 0.0003 ips: 59.3794 images/s
[07/29 08:13:36] ppdet.engine INFO: Epoch: [295] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.923662 loss_bbox: 0.446486 loss_dfl: 0.411650 loss: 1.798905 eta: 0:56:19 batch_cost: 0.6507 data_cost: 0.0004 ips: 61.4712 images/s
[07/29 08:13:52] ppdet.engine INFO: Epoch: [295] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.847289 loss_bbox: 0.427757 loss_dfl: 0.382566 loss: 1.653438 eta: 0:56:00 batch_cost: 0.6293 data_cost: 0.0003 ips: 63.5607 images/s
[07/29 08:14:08] ppdet.engine INFO: Epoch: [295] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.899914 loss_bbox: 0.435876 loss_dfl: 0.407928 loss: 1.769189 eta: 0:55:41 batch_cost: 0.6660 data_cost: 0.0010 ips: 60.0628 images/s
[07/29 08:14:23] ppdet.engine INFO: Epoch: [295] [100/732] learning_rate: 0.016000 loss_vfl: 0.924023 loss_bbox: 0.476518 loss_dfl: 0.435734 loss: 1.831107 eta: 0:55:23 batch_cost: 0.6515 data_cost: 0.0003 ips: 61.3986 images/s
[07/29 08:14:39] ppdet.engine INFO: Epoch: [295] [120/732] learning_rate: 0.016000 loss_vfl: 0.870013 loss_bbox: 0.420379 loss_dfl: 0.394410 loss: 1.696603 eta: 0:55:04 batch_cost: 0.6486 data_cost: 0.0003 ips: 61.6681 images/s
[07/29 08:14:54] ppdet.engine INFO: Epoch: [295] [140/732] learning_rate: 0.016000 loss_vfl: 0.894567 loss_bbox: 0.448837 loss_dfl: 0.413617 loss: 1.754436 eta: 0:54:45 batch_cost: 0.6272 data_cost: 0.0004 ips: 63.7759 images/s
[07/29 08:15:10] ppdet.engine INFO: Epoch: [295] [160/732] learning_rate: 0.016000 loss_vfl: 0.881274 loss_bbox: 0.437316 loss_dfl: 0.405962 loss: 1.747018 eta: 0:54:26 batch_cost: 0.6648 data_cost: 0.0003 ips: 60.1713 images/s
[07/29 08:15:26] ppdet.engine INFO: Epoch: [295] [180/732] learning_rate: 0.016000 loss_vfl: 0.904808 loss_bbox: 0.449101 loss_dfl: 0.409408 loss: 1.739404 eta: 0:54:08 batch_cost: 0.6549 data_cost: 0.0008 ips: 61.0807 images/s
[07/29 08:15:40] ppdet.engine INFO: Epoch: [295] [200/732] learning_rate: 0.016000 loss_vfl: 0.855064 loss_bbox: 0.415654 loss_dfl: 0.379627 loss: 1.645504 eta: 0:53:49 batch_cost: 0.5908 data_cost: 0.0003 ips: 67.7055 images/s
[07/29 08:15:56] ppdet.engine INFO: Epoch: [295] [220/732] learning_rate: 0.016000 loss_vfl: 0.889112 loss_bbox: 0.438770 loss_dfl: 0.412599 loss: 1.735648 eta: 0:53:30 batch_cost: 0.6379 data_cost: 0.0007 ips: 62.7047 images/s
[07/29 08:16:11] ppdet.engine INFO: Epoch: [295] [240/732] learning_rate: 0.016000 loss_vfl: 0.832145 loss_bbox: 0.420961 loss_dfl: 0.399885 loss: 1.650402 eta: 0:53:11 batch_cost: 0.6290 data_cost: 0.0010 ips: 63.5975 images/s
[07/29 08:16:26] ppdet.engine INFO: Epoch: [295] [260/732] learning_rate: 0.016000 loss_vfl: 0.869948 loss_bbox: 0.435474 loss_dfl: 0.404685 loss: 1.707237 eta: 0:52:53 batch_cost: 0.6097 data_cost: 0.0003 ips: 65.6053 images/s
[07/29 08:16:41] ppdet.engine INFO: Epoch: [295] [280/732] learning_rate: 0.016000 loss_vfl: 0.869894 loss_bbox: 0.423933 loss_dfl: 0.393371 loss: 1.665732 eta: 0:52:34 batch_cost: 0.5994 data_cost: 0.0003 ips: 66.7355 images/s
[07/29 08:16:56] ppdet.engine INFO: Epoch: [295] [300/732] learning_rate: 0.016000 loss_vfl: 0.886740 loss_bbox: 0.445429 loss_dfl: 0.399926 loss: 1.728841 eta: 0:52:15 batch_cost: 0.6309 data_cost: 0.0019 ips: 63.4065 images/s
[07/29 08:17:11] ppdet.engine INFO: Epoch: [295] [320/732] learning_rate: 0.016000 loss_vfl: 0.866373 loss_bbox: 0.430523 loss_dfl: 0.398995 loss: 1.691064 eta: 0:51:56 batch_cost: 0.6001 data_cost: 0.0013 ips: 66.6591 images/s
[07/29 08:17:26] ppdet.engine INFO: Epoch: [295] [340/732] learning_rate: 0.016000 loss_vfl: 0.913235 loss_bbox: 0.441231 loss_dfl: 0.431847 loss: 1.819629 eta: 0:51:37 batch_cost: 0.6112 data_cost: 0.0010 ips: 65.4456 images/s
[07/29 08:17:41] ppdet.engine INFO: Epoch: [295] [360/732] learning_rate: 0.016000 loss_vfl: 0.900095 loss_bbox: 0.439120 loss_dfl: 0.410552 loss: 1.773076 eta: 0:51:19 batch_cost: 0.6044 data_cost: 0.0012 ips: 66.1823 images/s
[07/29 08:17:56] ppdet.engine INFO: Epoch: [295] [380/732] learning_rate: 0.016000 loss_vfl: 0.908092 loss_bbox: 0.445293 loss_dfl: 0.399267 loss: 1.722660 eta: 0:51:00 batch_cost: 0.6322 data_cost: 0.0004 ips: 63.2728 images/s
[07/29 08:18:11] ppdet.engine INFO: Epoch: [295] [400/732] learning_rate: 0.016000 loss_vfl: 0.857917 loss_bbox: 0.424826 loss_dfl: 0.398868 loss: 1.662464 eta: 0:50:41 batch_cost: 0.6278 data_cost: 0.0014 ips: 63.7123 images/s
[07/29 08:18:26] ppdet.engine INFO: Epoch: [295] [420/732] learning_rate: 0.016000 loss_vfl: 0.896005 loss_bbox: 0.442373 loss_dfl: 0.415518 loss: 1.745417 eta: 0:50:22 batch_cost: 0.5860 data_cost: 0.0004 ips: 68.2632 images/s
[07/29 08:18:43] ppdet.engine INFO: Epoch: [295] [440/732] learning_rate: 0.016000 loss_vfl: 0.922058 loss_bbox: 0.461066 loss_dfl: 0.414700 loss: 1.777748 eta: 0:50:04 batch_cost: 0.7137 data_cost: 0.0010 ips: 56.0461 images/s
[07/29 08:18:58] ppdet.engine INFO: Epoch: [295] [460/732] learning_rate: 0.016000 loss_vfl: 0.882315 loss_bbox: 0.426706 loss_dfl: 0.395044 loss: 1.701700 eta: 0:49:45 batch_cost: 0.5733 data_cost: 0.0003 ips: 69.7689 images/s
[07/29 08:19:12] ppdet.engine INFO: Epoch: [295] [480/732] learning_rate: 0.016000 loss_vfl: 0.875799 loss_bbox: 0.436474 loss_dfl: 0.405729 loss: 1.740395 eta: 0:49:26 batch_cost: 0.5912 data_cost: 0.0017 ips: 67.6542 images/s
[07/29 08:19:27] ppdet.engine INFO: Epoch: [295] [500/732] learning_rate: 0.016000 loss_vfl: 0.882654 loss_bbox: 0.438172 loss_dfl: 0.406980 loss: 1.726578 eta: 0:49:07 batch_cost: 0.5787 data_cost: 0.0003 ips: 69.1145 images/s
[07/29 08:19:42] ppdet.engine INFO: Epoch: [295] [520/732] learning_rate: 0.016000 loss_vfl: 0.886630 loss_bbox: 0.436540 loss_dfl: 0.394975 loss: 1.717848 eta: 0:48:49 batch_cost: 0.6485 data_cost: 0.0050 ips: 61.6794 images/s
[07/29 08:19:58] ppdet.engine INFO: Epoch: [295] [540/732] learning_rate: 0.016000 loss_vfl: 0.891892 loss_bbox: 0.439195 loss_dfl: 0.414928 loss: 1.747032 eta: 0:48:30 batch_cost: 0.6242 data_cost: 0.0008 ips: 64.0849 images/s
[07/29 08:20:14] ppdet.engine INFO: Epoch: [295] [560/732] learning_rate: 0.016000 loss_vfl: 0.849268 loss_bbox: 0.409104 loss_dfl: 0.388877 loss: 1.641388 eta: 0:48:11 batch_cost: 0.6344 data_cost: 0.0010 ips: 63.0533 images/s
[07/29 08:20:29] ppdet.engine INFO: Epoch: [295] [580/732] learning_rate: 0.016000 loss_vfl: 0.880940 loss_bbox: 0.432974 loss_dfl: 0.393247 loss: 1.711701 eta: 0:47:52 batch_cost: 0.5909 data_cost: 0.0003 ips: 67.6880 images/s
[07/29 08:20:44] ppdet.engine INFO: Epoch: [295] [600/732] learning_rate: 0.016000 loss_vfl: 0.897583 loss_bbox: 0.453024 loss_dfl: 0.408660 loss: 1.765646 eta: 0:47:34 batch_cost: 0.6081 data_cost: 0.0003 ips: 65.7804 images/s
[07/29 08:20:59] ppdet.engine INFO: Epoch: [295] [620/732] learning_rate: 0.016000 loss_vfl: 0.894309 loss_bbox: 0.442642 loss_dfl: 0.403945 loss: 1.750918 eta: 0:47:15 batch_cost: 0.5519 data_cost: 0.0014 ips: 72.4753 images/s
[07/29 08:21:14] ppdet.engine INFO: Epoch: [295] [640/732] learning_rate: 0.016000 loss_vfl: 0.906723 loss_bbox: 0.446605 loss_dfl: 0.416419 loss: 1.770784 eta: 0:46:56 batch_cost: 0.6328 data_cost: 0.0015 ips: 63.2066 images/s
[07/29 08:21:28] ppdet.engine INFO: Epoch: [295] [660/732] learning_rate: 0.016000 loss_vfl: 0.866645 loss_bbox: 0.446754 loss_dfl: 0.393784 loss: 1.717821 eta: 0:46:37 batch_cost: 0.5867 data_cost: 0.0009 ips: 68.1833 images/s
[07/29 08:21:43] ppdet.engine INFO: Epoch: [295] [680/732] learning_rate: 0.016000 loss_vfl: 0.882011 loss_bbox: 0.428865 loss_dfl: 0.405327 loss: 1.743656 eta: 0:46:19 batch_cost: 0.5931 data_cost: 0.0003 ips: 67.4460 images/s
[07/29 08:21:58] ppdet.engine INFO: Epoch: [295] [700/732] learning_rate: 0.016000 loss_vfl: 0.859722 loss_bbox: 0.437047 loss_dfl: 0.392186 loss: 1.698205 eta: 0:46:00 batch_cost: 0.5908 data_cost: 0.0010 ips: 67.7047 images/s
[07/29 08:22:12] ppdet.engine INFO: Epoch: [295] [720/732] learning_rate: 0.016000 loss_vfl: 0.902813 loss_bbox: 0.425994 loss_dfl: 0.413247 loss: 1.738097 eta: 0:45:41 batch_cost: 0.5670 data_cost: 0.0004 ips: 70.5439 images/s
[07/29 08:22:26] ppdet.engine INFO: Epoch: [296] [  0/732] learning_rate: 0.016000 loss_vfl: 0.894438 loss_bbox: 0.436466 loss_dfl: 0.415876 loss: 1.741881 eta: 0:45:30 batch_cost: 0.8265 data_cost: 0.2561 ips: 48.3995 images/s
[07/29 08:22:42] ppdet.engine INFO: Epoch: [296] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.863832 loss_bbox: 0.435486 loss_dfl: 0.407411 loss: 1.710692 eta: 0:45:11 batch_cost: 0.6733 data_cost: 0.0010 ips: 59.4087 images/s
[07/29 08:22:57] ppdet.engine INFO: Epoch: [296] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.861134 loss_bbox: 0.428968 loss_dfl: 0.391032 loss: 1.690284 eta: 0:44:53 batch_cost: 0.6485 data_cost: 0.0003 ips: 61.6832 images/s
[07/29 08:23:12] ppdet.engine INFO: Epoch: [296] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.859091 loss_bbox: 0.411849 loss_dfl: 0.387804 loss: 1.656347 eta: 0:44:34 batch_cost: 0.5988 data_cost: 0.0003 ips: 66.8047 images/s
[07/29 08:23:28] ppdet.engine INFO: Epoch: [296] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.876640 loss_bbox: 0.422487 loss_dfl: 0.381886 loss: 1.667477 eta: 0:44:15 batch_cost: 0.6524 data_cost: 0.0003 ips: 61.3097 images/s
[07/29 08:23:44] ppdet.engine INFO: Epoch: [296] [100/732] learning_rate: 0.016000 loss_vfl: 0.858375 loss_bbox: 0.425854 loss_dfl: 0.390624 loss: 1.693743 eta: 0:43:56 batch_cost: 0.6252 data_cost: 0.0004 ips: 63.9779 images/s
[07/29 08:23:59] ppdet.engine INFO: Epoch: [296] [120/732] learning_rate: 0.016000 loss_vfl: 0.953933 loss_bbox: 0.446548 loss_dfl: 0.424639 loss: 1.816021 eta: 0:43:38 batch_cost: 0.6212 data_cost: 0.0003 ips: 64.3952 images/s
[07/29 08:24:15] ppdet.engine INFO: Epoch: [296] [140/732] learning_rate: 0.016000 loss_vfl: 0.942776 loss_bbox: 0.475722 loss_dfl: 0.433719 loss: 1.860052 eta: 0:43:19 batch_cost: 0.6348 data_cost: 0.0009 ips: 63.0165 images/s
[07/29 08:24:29] ppdet.engine INFO: Epoch: [296] [160/732] learning_rate: 0.016000 loss_vfl: 0.901943 loss_bbox: 0.448379 loss_dfl: 0.417581 loss: 1.766913 eta: 0:43:00 batch_cost: 0.5591 data_cost: 0.0003 ips: 71.5443 images/s
[07/29 08:24:45] ppdet.engine INFO: Epoch: [296] [180/732] learning_rate: 0.016000 loss_vfl: 0.877975 loss_bbox: 0.423403 loss_dfl: 0.401293 loss: 1.703552 eta: 0:42:41 batch_cost: 0.6477 data_cost: 0.0004 ips: 61.7572 images/s
[07/29 08:25:00] ppdet.engine INFO: Epoch: [296] [200/732] learning_rate: 0.016000 loss_vfl: 0.906008 loss_bbox: 0.441881 loss_dfl: 0.414664 loss: 1.769190 eta: 0:42:23 batch_cost: 0.5964 data_cost: 0.0003 ips: 67.0639 images/s
[07/29 08:25:15] ppdet.engine INFO: Epoch: [296] [220/732] learning_rate: 0.016000 loss_vfl: 0.950980 loss_bbox: 0.458062 loss_dfl: 0.430472 loss: 1.829497 eta: 0:42:04 batch_cost: 0.6386 data_cost: 0.0010 ips: 62.6370 images/s
[07/29 08:25:31] ppdet.engine INFO: Epoch: [296] [240/732] learning_rate: 0.016000 loss_vfl: 0.855530 loss_bbox: 0.411863 loss_dfl: 0.392677 loss: 1.668657 eta: 0:41:45 batch_cost: 0.6438 data_cost: 0.0003 ips: 62.1345 images/s
[07/29 08:25:46] ppdet.engine INFO: Epoch: [296] [260/732] learning_rate: 0.016000 loss_vfl: 0.901188 loss_bbox: 0.430383 loss_dfl: 0.385394 loss: 1.704090 eta: 0:41:27 batch_cost: 0.6133 data_cost: 0.0004 ips: 65.2157 images/s
[07/29 08:26:00] ppdet.engine INFO: Epoch: [296] [280/732] learning_rate: 0.016000 loss_vfl: 0.914727 loss_bbox: 0.448806 loss_dfl: 0.422261 loss: 1.796624 eta: 0:41:08 batch_cost: 0.5688 data_cost: 0.0005 ips: 70.3289 images/s
[07/29 08:26:15] ppdet.engine INFO: Epoch: [296] [300/732] learning_rate: 0.016000 loss_vfl: 0.874539 loss_bbox: 0.418674 loss_dfl: 0.397137 loss: 1.704182 eta: 0:40:49 batch_cost: 0.6615 data_cost: 0.0003 ips: 60.4657 images/s
[07/29 08:26:29] ppdet.engine INFO: Epoch: [296] [320/732] learning_rate: 0.016000 loss_vfl: 0.865274 loss_bbox: 0.429122 loss_dfl: 0.403869 loss: 1.708103 eta: 0:40:30 batch_cost: 0.5533 data_cost: 0.0003 ips: 72.3000 images/s
[07/29 08:26:45] ppdet.engine INFO: Epoch: [296] [340/732] learning_rate: 0.016000 loss_vfl: 0.909686 loss_bbox: 0.456230 loss_dfl: 0.417941 loss: 1.774582 eta: 0:40:12 batch_cost: 0.6116 data_cost: 0.0009 ips: 65.4039 images/s
[07/29 08:27:00] ppdet.engine INFO: Epoch: [296] [360/732] learning_rate: 0.016000 loss_vfl: 0.924404 loss_bbox: 0.443674 loss_dfl: 0.419818 loss: 1.824869 eta: 0:39:53 batch_cost: 0.6326 data_cost: 0.0011 ips: 63.2360 images/s
[07/29 08:27:16] ppdet.engine INFO: Epoch: [296] [380/732] learning_rate: 0.016000 loss_vfl: 0.902491 loss_bbox: 0.452069 loss_dfl: 0.416992 loss: 1.775394 eta: 0:39:34 batch_cost: 0.6425 data_cost: 0.0003 ips: 62.2574 images/s
[07/29 08:27:32] ppdet.engine INFO: Epoch: [296] [400/732] learning_rate: 0.016000 loss_vfl: 0.908421 loss_bbox: 0.439713 loss_dfl: 0.411945 loss: 1.783065 eta: 0:39:16 batch_cost: 0.6827 data_cost: 0.0018 ips: 58.5926 images/s
[07/29 08:27:48] ppdet.engine INFO: Epoch: [296] [420/732] learning_rate: 0.016000 loss_vfl: 0.900003 loss_bbox: 0.422676 loss_dfl: 0.409246 loss: 1.732246 eta: 0:38:57 batch_cost: 0.6088 data_cost: 0.0009 ips: 65.7064 images/s
[07/29 08:28:03] ppdet.engine INFO: Epoch: [296] [440/732] learning_rate: 0.016000 loss_vfl: 0.881073 loss_bbox: 0.435039 loss_dfl: 0.400694 loss: 1.712460 eta: 0:38:38 batch_cost: 0.6365 data_cost: 0.0013 ips: 62.8461 images/s
[07/29 08:28:17] ppdet.engine INFO: Epoch: [296] [460/732] learning_rate: 0.016000 loss_vfl: 0.887208 loss_bbox: 0.448966 loss_dfl: 0.405676 loss: 1.723215 eta: 0:38:19 batch_cost: 0.5274 data_cost: 0.0010 ips: 75.8423 images/s
[07/29 08:28:32] ppdet.engine INFO: Epoch: [296] [480/732] learning_rate: 0.016000 loss_vfl: 0.871199 loss_bbox: 0.434856 loss_dfl: 0.404611 loss: 1.695686 eta: 0:38:01 batch_cost: 0.6109 data_cost: 0.0014 ips: 65.4754 images/s
[07/29 08:28:47] ppdet.engine INFO: Epoch: [296] [500/732] learning_rate: 0.016000 loss_vfl: 0.917677 loss_bbox: 0.445940 loss_dfl: 0.402468 loss: 1.760235 eta: 0:37:42 batch_cost: 0.5769 data_cost: 0.0010 ips: 69.3414 images/s
[07/29 08:29:02] ppdet.engine INFO: Epoch: [296] [520/732] learning_rate: 0.016000 loss_vfl: 0.934614 loss_bbox: 0.456840 loss_dfl: 0.418473 loss: 1.797064 eta: 0:37:23 batch_cost: 0.6348 data_cost: 0.0014 ips: 63.0091 images/s
[07/29 08:29:17] ppdet.engine INFO: Epoch: [296] [540/732] learning_rate: 0.016000 loss_vfl: 0.858538 loss_bbox: 0.426520 loss_dfl: 0.397343 loss: 1.690838 eta: 0:37:05 batch_cost: 0.6326 data_cost: 0.0009 ips: 63.2265 images/s
[07/29 08:29:32] ppdet.engine INFO: Epoch: [296] [560/732] learning_rate: 0.016000 loss_vfl: 0.828491 loss_bbox: 0.408979 loss_dfl: 0.380839 loss: 1.615599 eta: 0:36:46 batch_cost: 0.5740 data_cost: 0.0010 ips: 69.6831 images/s
[07/29 08:29:48] ppdet.engine INFO: Epoch: [296] [580/732] learning_rate: 0.016000 loss_vfl: 0.899489 loss_bbox: 0.446297 loss_dfl: 0.417988 loss: 1.754238 eta: 0:36:27 batch_cost: 0.6476 data_cost: 0.0018 ips: 61.7681 images/s
[07/29 08:30:05] ppdet.engine INFO: Epoch: [296] [600/732] learning_rate: 0.016000 loss_vfl: 0.908508 loss_bbox: 0.444072 loss_dfl: 0.410715 loss: 1.757410 eta: 0:36:08 batch_cost: 0.6689 data_cost: 0.0013 ips: 59.8022 images/s
[07/29 08:30:20] ppdet.engine INFO: Epoch: [296] [620/732] learning_rate: 0.016000 loss_vfl: 0.880681 loss_bbox: 0.428043 loss_dfl: 0.407143 loss: 1.716230 eta: 0:35:50 batch_cost: 0.6294 data_cost: 0.0010 ips: 63.5504 images/s
[07/29 08:30:35] ppdet.engine INFO: Epoch: [296] [640/732] learning_rate: 0.016000 loss_vfl: 0.919032 loss_bbox: 0.437297 loss_dfl: 0.410605 loss: 1.769195 eta: 0:35:31 batch_cost: 0.6147 data_cost: 0.0010 ips: 65.0696 images/s
[07/29 08:30:50] ppdet.engine INFO: Epoch: [296] [660/732] learning_rate: 0.016000 loss_vfl: 0.889012 loss_bbox: 0.452688 loss_dfl: 0.415183 loss: 1.760453 eta: 0:35:12 batch_cost: 0.5936 data_cost: 0.0014 ips: 67.3886 images/s
[07/29 08:31:06] ppdet.engine INFO: Epoch: [296] [680/732] learning_rate: 0.016000 loss_vfl: 0.937606 loss_bbox: 0.472276 loss_dfl: 0.429320 loss: 1.835357 eta: 0:34:54 batch_cost: 0.6456 data_cost: 0.0003 ips: 61.9603 images/s
[07/29 08:31:20] ppdet.engine INFO: Epoch: [296] [700/732] learning_rate: 0.016000 loss_vfl: 0.918850 loss_bbox: 0.442442 loss_dfl: 0.412118 loss: 1.760418 eta: 0:34:35 batch_cost: 0.5555 data_cost: 0.0004 ips: 72.0049 images/s
[07/29 08:31:35] ppdet.engine INFO: Epoch: [296] [720/732] learning_rate: 0.016000 loss_vfl: 0.878468 loss_bbox: 0.446239 loss_dfl: 0.400117 loss: 1.721888 eta: 0:34:16 batch_cost: 0.5926 data_cost: 0.0007 ips: 67.4979 images/s
[07/29 08:31:48] ppdet.engine INFO: Epoch: [297] [  0/732] learning_rate: 0.016000 loss_vfl: 0.902146 loss_bbox: 0.431414 loss_dfl: 0.392465 loss: 1.681643 eta: 0:34:05 batch_cost: 0.7780 data_cost: 0.1518 ips: 51.4121 images/s
[07/29 08:32:06] ppdet.engine INFO: Epoch: [297] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.930557 loss_bbox: 0.474162 loss_dfl: 0.426405 loss: 1.840432 eta: 0:33:46 batch_cost: 0.7370 data_cost: 0.0271 ips: 54.2724 images/s
[07/29 08:32:22] ppdet.engine INFO: Epoch: [297] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.910155 loss_bbox: 0.444623 loss_dfl: 0.401362 loss: 1.718978 eta: 0:33:28 batch_cost: 0.6548 data_cost: 0.0034 ips: 61.0834 images/s
[07/29 08:32:38] ppdet.engine INFO: Epoch: [297] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.851508 loss_bbox: 0.429784 loss_dfl: 0.404962 loss: 1.693476 eta: 0:33:09 batch_cost: 0.6296 data_cost: 0.0004 ips: 63.5320 images/s
[07/29 08:32:54] ppdet.engine INFO: Epoch: [297] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.904941 loss_bbox: 0.453577 loss_dfl: 0.420514 loss: 1.781273 eta: 0:32:50 batch_cost: 0.6430 data_cost: 0.0036 ips: 62.2131 images/s
[07/29 08:33:09] ppdet.engine INFO: Epoch: [297] [100/732] learning_rate: 0.016000 loss_vfl: 0.926637 loss_bbox: 0.442326 loss_dfl: 0.415302 loss: 1.792952 eta: 0:32:32 batch_cost: 0.6303 data_cost: 0.0005 ips: 63.4614 images/s
[07/29 08:33:24] ppdet.engine INFO: Epoch: [297] [120/732] learning_rate: 0.016000 loss_vfl: 0.894952 loss_bbox: 0.437794 loss_dfl: 0.409584 loss: 1.735016 eta: 0:32:13 batch_cost: 0.6264 data_cost: 0.0005 ips: 63.8618 images/s
[07/29 08:33:41] ppdet.engine INFO: Epoch: [297] [140/732] learning_rate: 0.016000 loss_vfl: 0.891329 loss_bbox: 0.447632 loss_dfl: 0.407208 loss: 1.727716 eta: 0:31:54 batch_cost: 0.6695 data_cost: 0.0006 ips: 59.7417 images/s
[07/29 08:33:58] ppdet.engine INFO: Epoch: [297] [160/732] learning_rate: 0.016000 loss_vfl: 0.898091 loss_bbox: 0.446377 loss_dfl: 0.410603 loss: 1.782268 eta: 0:31:36 batch_cost: 0.6811 data_cost: 0.0005 ips: 58.7259 images/s
[07/29 08:34:14] ppdet.engine INFO: Epoch: [297] [180/732] learning_rate: 0.016000 loss_vfl: 0.881010 loss_bbox: 0.453290 loss_dfl: 0.408631 loss: 1.764017 eta: 0:31:17 batch_cost: 0.6716 data_cost: 0.0015 ips: 59.5610 images/s
[07/29 08:34:29] ppdet.engine INFO: Epoch: [297] [200/732] learning_rate: 0.016000 loss_vfl: 0.934502 loss_bbox: 0.446511 loss_dfl: 0.410932 loss: 1.792928 eta: 0:30:58 batch_cost: 0.6141 data_cost: 0.0005 ips: 65.1337 images/s
[07/29 08:34:45] ppdet.engine INFO: Epoch: [297] [220/732] learning_rate: 0.016000 loss_vfl: 0.857666 loss_bbox: 0.431920 loss_dfl: 0.390077 loss: 1.663033 eta: 0:30:40 batch_cost: 0.6721 data_cost: 0.0004 ips: 59.5115 images/s
[07/29 08:35:01] ppdet.engine INFO: Epoch: [297] [240/732] learning_rate: 0.016000 loss_vfl: 0.922846 loss_bbox: 0.441909 loss_dfl: 0.412523 loss: 1.759621 eta: 0:30:21 batch_cost: 0.6073 data_cost: 0.0004 ips: 65.8653 images/s
[07/29 08:35:17] ppdet.engine INFO: Epoch: [297] [260/732] learning_rate: 0.016000 loss_vfl: 0.855930 loss_bbox: 0.424770 loss_dfl: 0.390849 loss: 1.667252 eta: 0:30:02 batch_cost: 0.6690 data_cost: 0.0010 ips: 59.7937 images/s
[07/29 08:35:32] ppdet.engine INFO: Epoch: [297] [280/732] learning_rate: 0.016000 loss_vfl: 0.852182 loss_bbox: 0.423704 loss_dfl: 0.378826 loss: 1.666035 eta: 0:29:44 batch_cost: 0.6350 data_cost: 0.0005 ips: 62.9937 images/s
[07/29 08:35:48] ppdet.engine INFO: Epoch: [297] [300/732] learning_rate: 0.016000 loss_vfl: 0.905558 loss_bbox: 0.441864 loss_dfl: 0.406817 loss: 1.763451 eta: 0:29:25 batch_cost: 0.6587 data_cost: 0.0004 ips: 60.7288 images/s
[07/29 08:36:05] ppdet.engine INFO: Epoch: [297] [320/732] learning_rate: 0.016000 loss_vfl: 0.846033 loss_bbox: 0.405406 loss_dfl: 0.388377 loss: 1.655638 eta: 0:29:06 batch_cost: 0.6865 data_cost: 0.0004 ips: 58.2693 images/s
[07/29 08:36:19] ppdet.engine INFO: Epoch: [297] [340/732] learning_rate: 0.016000 loss_vfl: 0.913195 loss_bbox: 0.442425 loss_dfl: 0.418495 loss: 1.770578 eta: 0:28:48 batch_cost: 0.6031 data_cost: 0.0003 ips: 66.3214 images/s
[07/29 08:36:34] ppdet.engine INFO: Epoch: [297] [360/732] learning_rate: 0.016000 loss_vfl: 0.905447 loss_bbox: 0.442052 loss_dfl: 0.413076 loss: 1.775440 eta: 0:28:29 batch_cost: 0.6133 data_cost: 0.0024 ips: 65.2200 images/s
[07/29 08:36:50] ppdet.engine INFO: Epoch: [297] [380/732] learning_rate: 0.016000 loss_vfl: 0.824077 loss_bbox: 0.403914 loss_dfl: 0.379420 loss: 1.620791 eta: 0:28:10 batch_cost: 0.6764 data_cost: 0.0018 ips: 59.1390 images/s
[07/29 08:37:05] ppdet.engine INFO: Epoch: [297] [400/732] learning_rate: 0.016000 loss_vfl: 0.884487 loss_bbox: 0.431930 loss_dfl: 0.398236 loss: 1.732285 eta: 0:27:52 batch_cost: 0.6143 data_cost: 0.0013 ips: 65.1115 images/s
[07/29 08:37:20] ppdet.engine INFO: Epoch: [297] [420/732] learning_rate: 0.016000 loss_vfl: 0.873355 loss_bbox: 0.429931 loss_dfl: 0.402180 loss: 1.728574 eta: 0:27:33 batch_cost: 0.5751 data_cost: 0.0003 ips: 69.5504 images/s
[07/29 08:37:34] ppdet.engine INFO: Epoch: [297] [440/732] learning_rate: 0.016000 loss_vfl: 0.859554 loss_bbox: 0.445447 loss_dfl: 0.396642 loss: 1.707451 eta: 0:27:14 batch_cost: 0.5803 data_cost: 0.0004 ips: 68.9291 images/s
[07/29 08:37:51] ppdet.engine INFO: Epoch: [297] [460/732] learning_rate: 0.016000 loss_vfl: 0.859450 loss_bbox: 0.419692 loss_dfl: 0.400405 loss: 1.667819 eta: 0:26:56 batch_cost: 0.6734 data_cost: 0.0006 ips: 59.4010 images/s
[07/29 08:38:07] ppdet.engine INFO: Epoch: [297] [480/732] learning_rate: 0.016000 loss_vfl: 0.917811 loss_bbox: 0.440400 loss_dfl: 0.411868 loss: 1.755617 eta: 0:26:37 batch_cost: 0.6758 data_cost: 0.0003 ips: 59.1903 images/s
[07/29 08:38:23] ppdet.engine INFO: Epoch: [297] [500/732] learning_rate: 0.016000 loss_vfl: 0.918258 loss_bbox: 0.447827 loss_dfl: 0.413939 loss: 1.751877 eta: 0:26:18 batch_cost: 0.6488 data_cost: 0.0003 ips: 61.6515 images/s
[07/29 08:38:38] ppdet.engine INFO: Epoch: [297] [520/732] learning_rate: 0.016000 loss_vfl: 0.889912 loss_bbox: 0.452692 loss_dfl: 0.404609 loss: 1.761447 eta: 0:26:00 batch_cost: 0.5997 data_cost: 0.0003 ips: 66.6971 images/s
[07/29 08:38:53] ppdet.engine INFO: Epoch: [297] [540/732] learning_rate: 0.016000 loss_vfl: 0.920124 loss_bbox: 0.446987 loss_dfl: 0.417142 loss: 1.797363 eta: 0:25:41 batch_cost: 0.6647 data_cost: 0.0003 ips: 60.1777 images/s
[07/29 08:39:09] ppdet.engine INFO: Epoch: [297] [560/732] learning_rate: 0.016000 loss_vfl: 0.823977 loss_bbox: 0.402829 loss_dfl: 0.372902 loss: 1.596167 eta: 0:25:22 batch_cost: 0.6456 data_cost: 0.0003 ips: 61.9613 images/s
[07/29 08:39:24] ppdet.engine INFO: Epoch: [297] [580/732] learning_rate: 0.016000 loss_vfl: 0.969678 loss_bbox: 0.479479 loss_dfl: 0.441919 loss: 1.853955 eta: 0:25:04 batch_cost: 0.6293 data_cost: 0.0015 ips: 63.5657 images/s
[07/29 08:39:39] ppdet.engine INFO: Epoch: [297] [600/732] learning_rate: 0.016000 loss_vfl: 0.895023 loss_bbox: 0.435248 loss_dfl: 0.408447 loss: 1.715765 eta: 0:24:45 batch_cost: 0.6401 data_cost: 0.0021 ips: 62.4866 images/s
[07/29 08:39:55] ppdet.engine INFO: Epoch: [297] [620/732] learning_rate: 0.016000 loss_vfl: 0.875936 loss_bbox: 0.430812 loss_dfl: 0.395831 loss: 1.697198 eta: 0:24:26 batch_cost: 0.6712 data_cost: 0.0010 ips: 59.5928 images/s
[07/29 08:40:11] ppdet.engine INFO: Epoch: [297] [640/732] learning_rate: 0.016000 loss_vfl: 0.932490 loss_bbox: 0.449546 loss_dfl: 0.425532 loss: 1.822867 eta: 0:24:08 batch_cost: 0.6526 data_cost: 0.0003 ips: 61.2931 images/s
[07/29 08:40:26] ppdet.engine INFO: Epoch: [297] [660/732] learning_rate: 0.016000 loss_vfl: 0.897455 loss_bbox: 0.453236 loss_dfl: 0.411789 loss: 1.746540 eta: 0:23:49 batch_cost: 0.6196 data_cost: 0.0009 ips: 64.5602 images/s
[07/29 08:40:42] ppdet.engine INFO: Epoch: [297] [680/732] learning_rate: 0.016000 loss_vfl: 0.941130 loss_bbox: 0.456606 loss_dfl: 0.426495 loss: 1.827624 eta: 0:23:30 batch_cost: 0.6014 data_cost: 0.0013 ips: 66.5109 images/s
[07/29 08:40:56] ppdet.engine INFO: Epoch: [297] [700/732] learning_rate: 0.016000 loss_vfl: 0.916781 loss_bbox: 0.441061 loss_dfl: 0.410722 loss: 1.806756 eta: 0:23:12 batch_cost: 0.5778 data_cost: 0.0010 ips: 69.2226 images/s
[07/29 08:41:12] ppdet.engine INFO: Epoch: [297] [720/732] learning_rate: 0.016000 loss_vfl: 0.912776 loss_bbox: 0.437184 loss_dfl: 0.412410 loss: 1.749659 eta: 0:22:53 batch_cost: 0.6853 data_cost: 0.0005 ips: 58.3663 images/s
[07/29 08:41:25] ppdet.engine INFO: Epoch: [298] [  0/732] learning_rate: 0.016000 loss_vfl: 0.884120 loss_bbox: 0.439906 loss_dfl: 0.412410 loss: 1.731997 eta: 0:22:42 batch_cost: 0.8027 data_cost: 0.1366 ips: 49.8305 images/s
[07/29 08:41:44] ppdet.engine INFO: Epoch: [298] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.848895 loss_bbox: 0.440588 loss_dfl: 0.402365 loss: 1.683027 eta: 0:22:23 batch_cost: 0.7128 data_cost: 0.0003 ips: 56.1163 images/s
[07/29 08:41:58] ppdet.engine INFO: Epoch: [298] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.901751 loss_bbox: 0.455568 loss_dfl: 0.412999 loss: 1.772552 eta: 0:22:05 batch_cost: 0.5699 data_cost: 0.0003 ips: 70.1872 images/s
[07/29 08:42:13] ppdet.engine INFO: Epoch: [298] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.885707 loss_bbox: 0.422233 loss_dfl: 0.397934 loss: 1.722347 eta: 0:21:46 batch_cost: 0.6089 data_cost: 0.0003 ips: 65.6915 images/s
[07/29 08:42:28] ppdet.engine INFO: Epoch: [298] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.817635 loss_bbox: 0.395281 loss_dfl: 0.371630 loss: 1.577343 eta: 0:21:27 batch_cost: 0.6197 data_cost: 0.0003 ips: 64.5520 images/s
[07/29 08:42:44] ppdet.engine INFO: Epoch: [298] [100/732] learning_rate: 0.016000 loss_vfl: 0.885947 loss_bbox: 0.453419 loss_dfl: 0.411974 loss: 1.745894 eta: 0:21:09 batch_cost: 0.6674 data_cost: 0.0003 ips: 59.9358 images/s
[07/29 08:43:00] ppdet.engine INFO: Epoch: [298] [120/732] learning_rate: 0.016000 loss_vfl: 0.865456 loss_bbox: 0.420233 loss_dfl: 0.395481 loss: 1.676658 eta: 0:20:50 batch_cost: 0.6429 data_cost: 0.0003 ips: 62.2201 images/s
[07/29 08:43:15] ppdet.engine INFO: Epoch: [298] [140/732] learning_rate: 0.016000 loss_vfl: 0.917533 loss_bbox: 0.445041 loss_dfl: 0.397289 loss: 1.762727 eta: 0:20:31 batch_cost: 0.6279 data_cost: 0.0003 ips: 63.7050 images/s
[07/29 08:43:31] ppdet.engine INFO: Epoch: [298] [160/732] learning_rate: 0.016000 loss_vfl: 0.878302 loss_bbox: 0.450734 loss_dfl: 0.404751 loss: 1.722642 eta: 0:20:13 batch_cost: 0.6633 data_cost: 0.0003 ips: 60.3025 images/s
[07/29 08:43:47] ppdet.engine INFO: Epoch: [298] [180/732] learning_rate: 0.016000 loss_vfl: 0.881436 loss_bbox: 0.443209 loss_dfl: 0.415044 loss: 1.764236 eta: 0:19:54 batch_cost: 0.6431 data_cost: 0.0003 ips: 62.2012 images/s
[07/29 08:44:02] ppdet.engine INFO: Epoch: [298] [200/732] learning_rate: 0.016000 loss_vfl: 0.895401 loss_bbox: 0.445587 loss_dfl: 0.409628 loss: 1.764748 eta: 0:19:35 batch_cost: 0.6216 data_cost: 0.0008 ips: 64.3549 images/s
[07/29 08:44:18] ppdet.engine INFO: Epoch: [298] [220/732] learning_rate: 0.016000 loss_vfl: 0.897915 loss_bbox: 0.452449 loss_dfl: 0.419580 loss: 1.773541 eta: 0:19:17 batch_cost: 0.6538 data_cost: 0.0003 ips: 61.1768 images/s
[07/29 08:44:33] ppdet.engine INFO: Epoch: [298] [240/732] learning_rate: 0.016000 loss_vfl: 0.902201 loss_bbox: 0.458129 loss_dfl: 0.405867 loss: 1.734064 eta: 0:18:58 batch_cost: 0.6383 data_cost: 0.0003 ips: 62.6649 images/s
[07/29 08:44:48] ppdet.engine INFO: Epoch: [298] [260/732] learning_rate: 0.016000 loss_vfl: 0.918792 loss_bbox: 0.464836 loss_dfl: 0.423829 loss: 1.800390 eta: 0:18:39 batch_cost: 0.6271 data_cost: 0.0004 ips: 63.7876 images/s
[07/29 08:45:02] ppdet.engine INFO: Epoch: [298] [280/732] learning_rate: 0.016000 loss_vfl: 0.909822 loss_bbox: 0.463677 loss_dfl: 0.430772 loss: 1.816808 eta: 0:18:21 batch_cost: 0.5653 data_cost: 0.0003 ips: 70.7545 images/s
[07/29 08:45:17] ppdet.engine INFO: Epoch: [298] [300/732] learning_rate: 0.016000 loss_vfl: 0.867212 loss_bbox: 0.410684 loss_dfl: 0.392770 loss: 1.680126 eta: 0:18:02 batch_cost: 0.6002 data_cost: 0.0009 ips: 66.6428 images/s
[07/29 08:45:32] ppdet.engine INFO: Epoch: [298] [320/732] learning_rate: 0.016000 loss_vfl: 0.924856 loss_bbox: 0.457732 loss_dfl: 0.421440 loss: 1.798602 eta: 0:17:44 batch_cost: 0.6399 data_cost: 0.0003 ips: 62.5098 images/s
[07/29 08:45:47] ppdet.engine INFO: Epoch: [298] [340/732] learning_rate: 0.016000 loss_vfl: 0.882189 loss_bbox: 0.435319 loss_dfl: 0.405970 loss: 1.715024 eta: 0:17:25 batch_cost: 0.6031 data_cost: 0.0005 ips: 66.3245 images/s
[07/29 08:46:02] ppdet.engine INFO: Epoch: [298] [360/732] learning_rate: 0.016000 loss_vfl: 0.878895 loss_bbox: 0.435222 loss_dfl: 0.404301 loss: 1.740235 eta: 0:17:06 batch_cost: 0.6398 data_cost: 0.0009 ips: 62.5221 images/s
[07/29 08:46:17] ppdet.engine INFO: Epoch: [298] [380/732] learning_rate: 0.016000 loss_vfl: 0.879337 loss_bbox: 0.445229 loss_dfl: 0.412022 loss: 1.722764 eta: 0:16:48 batch_cost: 0.5855 data_cost: 0.0003 ips: 68.3133 images/s
[07/29 08:46:32] ppdet.engine INFO: Epoch: [298] [400/732] learning_rate: 0.016000 loss_vfl: 0.865391 loss_bbox: 0.412213 loss_dfl: 0.393341 loss: 1.685414 eta: 0:16:29 batch_cost: 0.6600 data_cost: 0.0014 ips: 60.6094 images/s
[07/29 08:46:47] ppdet.engine INFO: Epoch: [298] [420/732] learning_rate: 0.016000 loss_vfl: 0.828134 loss_bbox: 0.430715 loss_dfl: 0.389414 loss: 1.668087 eta: 0:16:10 batch_cost: 0.5719 data_cost: 0.0003 ips: 69.9456 images/s
[07/29 08:47:01] ppdet.engine INFO: Epoch: [298] [440/732] learning_rate: 0.016000 loss_vfl: 0.899122 loss_bbox: 0.434337 loss_dfl: 0.406503 loss: 1.758758 eta: 0:15:52 batch_cost: 0.6035 data_cost: 0.0009 ips: 66.2819 images/s
[07/29 08:47:17] ppdet.engine INFO: Epoch: [298] [460/732] learning_rate: 0.016000 loss_vfl: 0.932762 loss_bbox: 0.457932 loss_dfl: 0.433587 loss: 1.810065 eta: 0:15:33 batch_cost: 0.5942 data_cost: 0.0003 ips: 67.3132 images/s
[07/29 08:47:32] ppdet.engine INFO: Epoch: [298] [480/732] learning_rate: 0.016000 loss_vfl: 0.899597 loss_bbox: 0.427685 loss_dfl: 0.402304 loss: 1.727257 eta: 0:15:15 batch_cost: 0.6678 data_cost: 0.0003 ips: 59.9025 images/s
[07/29 08:47:47] ppdet.engine INFO: Epoch: [298] [500/732] learning_rate: 0.016000 loss_vfl: 0.937821 loss_bbox: 0.460786 loss_dfl: 0.429392 loss: 1.830982 eta: 0:14:56 batch_cost: 0.5943 data_cost: 0.0003 ips: 67.3063 images/s
[07/29 08:48:02] ppdet.engine INFO: Epoch: [298] [520/732] learning_rate: 0.016000 loss_vfl: 0.889223 loss_bbox: 0.435690 loss_dfl: 0.406581 loss: 1.731216 eta: 0:14:37 batch_cost: 0.6408 data_cost: 0.0003 ips: 62.4175 images/s
[07/29 08:48:16] ppdet.engine INFO: Epoch: [298] [540/732] learning_rate: 0.016000 loss_vfl: 0.912231 loss_bbox: 0.435689 loss_dfl: 0.405742 loss: 1.745844 eta: 0:14:19 batch_cost: 0.6223 data_cost: 0.0003 ips: 64.2754 images/s
[07/29 08:48:32] ppdet.engine INFO: Epoch: [298] [560/732] learning_rate: 0.016000 loss_vfl: 0.873646 loss_bbox: 0.445668 loss_dfl: 0.413924 loss: 1.706474 eta: 0:14:00 batch_cost: 0.6709 data_cost: 0.0006 ips: 59.6170 images/s
[07/29 08:48:47] ppdet.engine INFO: Epoch: [298] [580/732] learning_rate: 0.016000 loss_vfl: 0.900435 loss_bbox: 0.443009 loss_dfl: 0.397431 loss: 1.715049 eta: 0:13:41 batch_cost: 0.6026 data_cost: 0.0009 ips: 66.3797 images/s
[07/29 08:49:01] ppdet.engine INFO: Epoch: [298] [600/732] learning_rate: 0.016000 loss_vfl: 0.870499 loss_bbox: 0.419999 loss_dfl: 0.392913 loss: 1.703357 eta: 0:13:23 batch_cost: 0.5881 data_cost: 0.0003 ips: 68.0163 images/s
[07/29 08:49:16] ppdet.engine INFO: Epoch: [298] [620/732] learning_rate: 0.016000 loss_vfl: 0.902574 loss_bbox: 0.456074 loss_dfl: 0.413673 loss: 1.781435 eta: 0:13:04 batch_cost: 0.6011 data_cost: 0.0003 ips: 66.5463 images/s
[07/29 08:49:31] ppdet.engine INFO: Epoch: [298] [640/732] learning_rate: 0.016000 loss_vfl: 0.880297 loss_bbox: 0.441939 loss_dfl: 0.415577 loss: 1.744853 eta: 0:12:46 batch_cost: 0.6402 data_cost: 0.0003 ips: 62.4820 images/s
[07/29 08:49:45] ppdet.engine INFO: Epoch: [298] [660/732] learning_rate: 0.016000 loss_vfl: 0.882875 loss_bbox: 0.419625 loss_dfl: 0.390121 loss: 1.717986 eta: 0:12:27 batch_cost: 0.5853 data_cost: 0.0003 ips: 68.3425 images/s
[07/29 08:49:59] ppdet.engine INFO: Epoch: [298] [680/732] learning_rate: 0.016000 loss_vfl: 0.893358 loss_bbox: 0.456919 loss_dfl: 0.425170 loss: 1.773464 eta: 0:12:08 batch_cost: 0.5538 data_cost: 0.0003 ips: 72.2340 images/s
[07/29 08:50:14] ppdet.engine INFO: Epoch: [298] [700/732] learning_rate: 0.016000 loss_vfl: 0.888153 loss_bbox: 0.441279 loss_dfl: 0.402866 loss: 1.739838 eta: 0:11:50 batch_cost: 0.6310 data_cost: 0.0003 ips: 63.3952 images/s
[07/29 08:50:29] ppdet.engine INFO: Epoch: [298] [720/732] learning_rate: 0.016000 loss_vfl: 0.910127 loss_bbox: 0.445082 loss_dfl: 0.410379 loss: 1.755581 eta: 0:11:31 batch_cost: 0.6036 data_cost: 0.0004 ips: 66.2667 images/s
[07/29 08:50:41] ppdet.engine INFO: Epoch: [299] [  0/732] learning_rate: 0.016000 loss_vfl: 0.882656 loss_bbox: 0.435318 loss_dfl: 0.402624 loss: 1.733272 eta: 0:11:20 batch_cost: 0.7171 data_cost: 0.1651 ips: 55.7780 images/s
[07/29 08:50:58] ppdet.engine INFO: Epoch: [299] [ 20/732] learning_rate: 0.016000 loss_vfl: 0.892797 loss_bbox: 0.431647 loss_dfl: 0.401117 loss: 1.718889 eta: 0:11:01 batch_cost: 0.6882 data_cost: 0.0284 ips: 58.1210 images/s
[07/29 08:51:15] ppdet.engine INFO: Epoch: [299] [ 40/732] learning_rate: 0.016000 loss_vfl: 0.914835 loss_bbox: 0.457594 loss_dfl: 0.414250 loss: 1.767202 eta: 0:10:43 batch_cost: 0.6549 data_cost: 0.0004 ips: 61.0806 images/s
[07/29 08:51:30] ppdet.engine INFO: Epoch: [299] [ 60/732] learning_rate: 0.016000 loss_vfl: 0.842382 loss_bbox: 0.387760 loss_dfl: 0.378922 loss: 1.602658 eta: 0:10:24 batch_cost: 0.6477 data_cost: 0.0004 ips: 61.7562 images/s
[07/29 08:51:45] ppdet.engine INFO: Epoch: [299] [ 80/732] learning_rate: 0.016000 loss_vfl: 0.879131 loss_bbox: 0.424005 loss_dfl: 0.399491 loss: 1.715085 eta: 0:10:05 batch_cost: 0.5932 data_cost: 0.0003 ips: 67.4307 images/s
[07/29 08:52:01] ppdet.engine INFO: Epoch: [299] [100/732] learning_rate: 0.016000 loss_vfl: 0.879163 loss_bbox: 0.456691 loss_dfl: 0.407849 loss: 1.729968 eta: 0:09:47 batch_cost: 0.6424 data_cost: 0.0015 ips: 62.2617 images/s
[07/29 08:52:16] ppdet.engine INFO: Epoch: [299] [120/732] learning_rate: 0.016000 loss_vfl: 0.901189 loss_bbox: 0.447221 loss_dfl: 0.410844 loss: 1.786016 eta: 0:09:28 batch_cost: 0.6149 data_cost: 0.0003 ips: 65.0488 images/s
[07/29 08:52:32] ppdet.engine INFO: Epoch: [299] [140/732] learning_rate: 0.016000 loss_vfl: 0.883762 loss_bbox: 0.442509 loss_dfl: 0.408061 loss: 1.735770 eta: 0:09:10 batch_cost: 0.6693 data_cost: 0.0011 ips: 59.7604 images/s
[07/29 08:52:49] ppdet.engine INFO: Epoch: [299] [160/732] learning_rate: 0.016000 loss_vfl: 0.868227 loss_bbox: 0.433556 loss_dfl: 0.402130 loss: 1.706019 eta: 0:08:51 batch_cost: 0.7124 data_cost: 0.0003 ips: 56.1514 images/s
[07/29 08:53:05] ppdet.engine INFO: Epoch: [299] [180/732] learning_rate: 0.016000 loss_vfl: 0.881836 loss_bbox: 0.441344 loss_dfl: 0.401434 loss: 1.714427 eta: 0:08:32 batch_cost: 0.6579 data_cost: 0.0003 ips: 60.7959 images/s
[07/29 08:53:20] ppdet.engine INFO: Epoch: [299] [200/732] learning_rate: 0.016000 loss_vfl: 0.905187 loss_bbox: 0.450398 loss_dfl: 0.406303 loss: 1.749621 eta: 0:08:14 batch_cost: 0.6496 data_cost: 0.0003 ips: 61.5727 images/s
[07/29 08:53:36] ppdet.engine INFO: Epoch: [299] [220/732] learning_rate: 0.016000 loss_vfl: 0.893076 loss_bbox: 0.422594 loss_dfl: 0.406308 loss: 1.730453 eta: 0:07:55 batch_cost: 0.6576 data_cost: 0.0003 ips: 60.8309 images/s
[07/29 08:53:51] ppdet.engine INFO: Epoch: [299] [240/732] learning_rate: 0.016000 loss_vfl: 0.897007 loss_bbox: 0.438281 loss_dfl: 0.412946 loss: 1.741488 eta: 0:07:37 batch_cost: 0.6267 data_cost: 0.0010 ips: 63.8273 images/s
[07/29 08:54:06] ppdet.engine INFO: Epoch: [299] [260/732] learning_rate: 0.016000 loss_vfl: 0.851780 loss_bbox: 0.405262 loss_dfl: 0.372915 loss: 1.627921 eta: 0:07:18 batch_cost: 0.6077 data_cost: 0.0003 ips: 65.8199 images/s
[07/29 08:54:23] ppdet.engine INFO: Epoch: [299] [280/732] learning_rate: 0.016000 loss_vfl: 0.899248 loss_bbox: 0.443512 loss_dfl: 0.413662 loss: 1.770707 eta: 0:06:59 batch_cost: 0.7015 data_cost: 0.0004 ips: 57.0202 images/s
[07/29 08:54:38] ppdet.engine INFO: Epoch: [299] [300/732] learning_rate: 0.016000 loss_vfl: 0.859971 loss_bbox: 0.388176 loss_dfl: 0.390369 loss: 1.648741 eta: 0:06:41 batch_cost: 0.6741 data_cost: 0.0003 ips: 59.3348 images/s
INFO 2022-07-29 09:03:34,557 launch.py:311] Local processes completed.
[07/29 08:54:54] ppdet.engine INFO: Epoch: [299] [320/732] learning_rate: 0.016000 loss_vfl: 0.869796 loss_bbox: 0.406179 loss_dfl: 0.393772 loss: 1.685016 eta: 0:06:22 batch_cost: 0.6846 data_cost: 0.0003 ips: 58.4304 images/s
[07/29 08:55:11] ppdet.engine INFO: Epoch: [299] [340/732] learning_rate: 0.016000 loss_vfl: 0.866969 loss_bbox: 0.423783 loss_dfl: 0.402667 loss: 1.686075 eta: 0:06:04 batch_cost: 0.7266 data_cost: 0.0004 ips: 55.0489 images/s
[07/29 08:55:27] ppdet.engine INFO: Epoch: [299] [360/732] learning_rate: 0.016000 loss_vfl: 0.878426 loss_bbox: 0.418358 loss_dfl: 0.393382 loss: 1.672354 eta: 0:05:45 batch_cost: 0.6299 data_cost: 0.0039 ips: 63.5046 images/s
[07/29 08:55:42] ppdet.engine INFO: Epoch: [299] [380/732] learning_rate: 0.016000 loss_vfl: 0.942363 loss_bbox: 0.476301 loss_dfl: 0.429134 loss: 1.843855 eta: 0:05:27 batch_cost: 0.6555 data_cost: 0.0003 ips: 61.0196 images/s
[07/29 08:55:58] ppdet.engine INFO: Epoch: [299] [400/732] learning_rate: 0.016000 loss_vfl: 0.913079 loss_bbox: 0.436349 loss_dfl: 0.411768 loss: 1.781367 eta: 0:05:08 batch_cost: 0.6017 data_cost: 0.0009 ips: 66.4785 images/s
[07/29 08:56:13] ppdet.engine INFO: Epoch: [299] [420/732] learning_rate: 0.016000 loss_vfl: 0.889538 loss_bbox: 0.435800 loss_dfl: 0.402837 loss: 1.738020 eta: 0:04:49 batch_cost: 0.6441 data_cost: 0.0003 ips: 62.1059 images/s
[07/29 08:56:29] ppdet.engine INFO: Epoch: [299] [440/732] learning_rate: 0.016000 loss_vfl: 0.912272 loss_bbox: 0.459206 loss_dfl: 0.427022 loss: 1.824400 eta: 0:04:31 batch_cost: 0.6692 data_cost: 0.0003 ips: 59.7734 images/s
[07/29 08:56:45] ppdet.engine INFO: Epoch: [299] [460/732] learning_rate: 0.016000 loss_vfl: 0.901057 loss_bbox: 0.436067 loss_dfl: 0.407415 loss: 1.745867 eta: 0:04:12 batch_cost: 0.7033 data_cost: 0.0013 ips: 56.8717 images/s
[07/29 08:57:00] ppdet.engine INFO: Epoch: [299] [480/732] learning_rate: 0.016000 loss_vfl: 0.920720 loss_bbox: 0.440854 loss_dfl: 0.406573 loss: 1.725094 eta: 0:03:54 batch_cost: 0.6131 data_cost: 0.0003 ips: 65.2425 images/s
[07/29 08:57:16] ppdet.engine INFO: Epoch: [299] [500/732] learning_rate: 0.016000 loss_vfl: 0.913644 loss_bbox: 0.440942 loss_dfl: 0.417433 loss: 1.773458 eta: 0:03:35 batch_cost: 0.6430 data_cost: 0.0003 ips: 62.2050 images/s
[07/29 08:57:31] ppdet.engine INFO: Epoch: [299] [520/732] learning_rate: 0.016000 loss_vfl: 0.934037 loss_bbox: 0.447348 loss_dfl: 0.419433 loss: 1.803276 eta: 0:03:16 batch_cost: 0.6268 data_cost: 0.0003 ips: 63.8127 images/s
[07/29 08:57:47] ppdet.engine INFO: Epoch: [299] [540/732] learning_rate: 0.016000 loss_vfl: 0.856900 loss_bbox: 0.413125 loss_dfl: 0.384609 loss: 1.642924 eta: 0:02:58 batch_cost: 0.6108 data_cost: 0.0003 ips: 65.4875 images/s
[07/29 08:58:01] ppdet.engine INFO: Epoch: [299] [560/732] learning_rate: 0.016000 loss_vfl: 0.906907 loss_bbox: 0.418099 loss_dfl: 0.406850 loss: 1.744764 eta: 0:02:39 batch_cost: 0.5803 data_cost: 0.0003 ips: 68.9250 images/s
[07/29 08:58:16] ppdet.engine INFO: Epoch: [299] [580/732] learning_rate: 0.016000 loss_vfl: 0.925202 loss_bbox: 0.473242 loss_dfl: 0.415423 loss: 1.822460 eta: 0:02:21 batch_cost: 0.5970 data_cost: 0.0003 ips: 67.0049 images/s
[07/29 08:58:31] ppdet.engine INFO: Epoch: [299] [600/732] learning_rate: 0.016000 loss_vfl: 0.840686 loss_bbox: 0.412133 loss_dfl: 0.386544 loss: 1.640065 eta: 0:02:02 batch_cost: 0.6484 data_cost: 0.0003 ips: 61.6944 images/s
[07/29 08:58:46] ppdet.engine INFO: Epoch: [299] [620/732] learning_rate: 0.016000 loss_vfl: 0.896434 loss_bbox: 0.433793 loss_dfl: 0.409253 loss: 1.726982 eta: 0:01:44 batch_cost: 0.6403 data_cost: 0.0003 ips: 62.4704 images/s
[07/29 08:59:02] ppdet.engine INFO: Epoch: [299] [640/732] learning_rate: 0.016000 loss_vfl: 0.900319 loss_bbox: 0.449990 loss_dfl: 0.406020 loss: 1.766838 eta: 0:01:25 batch_cost: 0.6102 data_cost: 0.0004 ips: 65.5554 images/s
[07/29 08:59:18] ppdet.engine INFO: Epoch: [299] [660/732] learning_rate: 0.016000 loss_vfl: 0.863194 loss_bbox: 0.440643 loss_dfl: 0.405392 loss: 1.727869 eta: 0:01:06 batch_cost: 0.6827 data_cost: 0.0003 ips: 58.5917 images/s
[07/29 08:59:33] ppdet.engine INFO: Epoch: [299] [680/732] learning_rate: 0.016000 loss_vfl: 0.886159 loss_bbox: 0.438488 loss_dfl: 0.422748 loss: 1.773887 eta: 0:00:48 batch_cost: 0.6465 data_cost: 0.0003 ips: 61.8733 images/s
[07/29 08:59:48] ppdet.engine INFO: Epoch: [299] [700/732] learning_rate: 0.016000 loss_vfl: 0.941255 loss_bbox: 0.459790 loss_dfl: 0.433182 loss: 1.815715 eta: 0:00:29 batch_cost: 0.6142 data_cost: 0.0003 ips: 65.1249 images/s
[07/29 09:00:04] ppdet.engine INFO: Epoch: [299] [720/732] learning_rate: 0.016000 loss_vfl: 0.928515 loss_bbox: 0.446565 loss_dfl: 0.421165 loss: 1.813002 eta: 0:00:11 batch_cost: 0.6534 data_cost: 0.0004 ips: 61.2162 images/s
[07/29 09:00:12] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodetv2_npu_s_416_coco
[07/29 09:00:12] ppdet.engine INFO: Eval iter: 0
[07/29 09:00:24] ppdet.engine INFO: Eval iter: 100
[07/29 09:00:32] ppdet.engine INFO: Eval iter: 200
[07/29 09:00:41] ppdet.engine INFO: Eval iter: 300
[07/29 09:00:49] ppdet.engine INFO: Eval iter: 400
[07/29 09:00:58] ppdet.engine INFO: Eval iter: 500
[07/29 09:01:07] ppdet.engine INFO: Eval iter: 600
[07/29 09:01:23] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.67s)
creating index...
index created!
[07/29 09:01:24] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=6.15s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=99.02s).
Accumulating evaluation results...
DONE (t=18.08s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.300
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.442
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.318
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.115
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.322
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.459
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.275
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.448
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.479
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.225
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.532
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.711
[07/29 09:03:29] ppdet.engine INFO: Total sample number: 4952, averge FPS: 86.49693369975986
[07/29 09:03:29] ppdet.engine INFO: Best test bbox ap is 0.301.