WARNING 2022-03-18 09:54:55,215 launch.py:423] Not found distinct arguments and compiled with cuda or xpu. Default use collective mode
INFO 2022-03-18 09:54:55,215 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 2022-03-18 09:54:55,216 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                 127.0.0.1:60008               |
    |                     PADDLE_TRAINERS_NUM                        4                      |
    |                PADDLE_TRAINER_ENDPOINTS  ... 0.1:60009,127.0.0.1:60010,127.0.0.1:60011|
    |                     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 2022-03-18 09:54:55,216 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/picodet_xs_320_coco.yml', '--eval']
worker_num: None
workers: 
------------------------------------------------
launch train in GPU mode!
launch proc_id:31530 idx:0
launch proc_id:31533 idx:1
launch proc_id:31536 idx:2
launch proc_id:31539 idx:3
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:['127.0.0.1:60009', '127.0.0.1:60011']
I0318 09:55:02.421108 31530 nccl_context.cc:74] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0
W0318 09:55:03.428002 31530 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 11.2, Runtime API Version: 10.1
W0318 09:55:03.432008 31530 device_context.cc:465] device: 0, cuDNN Version: 7.6.
loading annotations into memory...
Done (t=19.09s)
creating index...
index created!
[03/18 09:55:33] 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.
[03/18 09:55:47] 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.
[03/18 09:55:52] ppdet.utils.download INFO: Downloading LCNet_x0_35_pretrained.pdparams from https://paddledet.bj.bcebos.com/models/pretrained/LCNet_x0_35_pretrained.pdparams

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[03/18 09:55:53] ppdet.utils.checkpoint INFO: ['last_conv.weight'] in pretrained weight is not used in the model, and its will not be loaded
[03/18 09:55:53] 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
[03/18 09:55:53] 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
[03/18 09:55:53] 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
[03/18 09:55:53] 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
[03/18 09:55:53] 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
[03/18 09:55:53] 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
[03/18 09:55:53] 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
[03/18 09:55:53] 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
[03/18 09:55:53] ppdet.utils.checkpoint INFO: Finish loading model weights: /root/.cache/paddle/weights/LCNet_x0_35_pretrained.pdparams
[03/18 09:56:03] ppdet.engine INFO: Epoch: [0] [  0/458] learning_rate: 0.032000 loss_vfl: 6.218493 loss_bbox: 1.447634 loss_dfl: 0.993368 loss: 8.659495 eta: 15 days, 8:49:42 batch_cost: 9.6636 data_cost: 4.1859 ips: 6.6228 images/s
[03/18 09:56:21] ppdet.engine INFO: Epoch: [0] [ 20/458] learning_rate: 0.051200 loss_vfl: 2.054541 loss_bbox: 1.493386 loss_dfl: 1.000931 loss: 4.653441 eta: 1 day, 21:56:21 batch_cost: 0.7808 data_cost: 0.0010 ips: 81.9639 images/s
[03/18 09:56:40] ppdet.engine INFO: Epoch: [0] [ 40/458] learning_rate: 0.070400 loss_vfl: 1.832670 loss_bbox: 1.383257 loss_dfl: 0.886034 loss: 4.118427 eta: 1 day, 15:07:37 batch_cost: 0.8382 data_cost: 0.0019 ips: 76.3554 images/s
[03/18 09:57:01] ppdet.engine INFO: Epoch: [0] [ 60/458] learning_rate: 0.089600 loss_vfl: 1.752859 loss_bbox: 1.258617 loss_dfl: 0.812336 loss: 3.826756 eta: 1 day, 14:31:18 batch_cost: 0.9775 data_cost: 0.0017 ips: 65.4719 images/s
[03/18 09:57:21] ppdet.engine INFO: Epoch: [0] [ 80/458] learning_rate: 0.108800 loss_vfl: 1.719800 loss_bbox: 1.144924 loss_dfl: 0.749298 loss: 3.610897 eta: 1 day, 13:18:26 batch_cost: 0.8814 data_cost: 0.0026 ips: 72.6111 images/s
[03/18 09:57:42] ppdet.engine INFO: Epoch: [0] [100/458] learning_rate: 0.128000 loss_vfl: 1.725246 loss_bbox: 1.127071 loss_dfl: 0.721245 loss: 3.581174 eta: 1 day, 12:58:44 batch_cost: 0.9353 data_cost: 0.0009 ips: 68.4264 images/s
[03/18 09:58:00] ppdet.engine INFO: Epoch: [0] [120/458] learning_rate: 0.147200 loss_vfl: 1.691548 loss_bbox: 1.030476 loss_dfl: 0.680718 loss: 3.405194 eta: 1 day, 11:50:42 batch_cost: 0.7905 data_cost: 0.0016 ips: 80.9573 images/s
[03/18 09:58:19] ppdet.engine INFO: Epoch: [0] [140/458] learning_rate: 0.166400 loss_vfl: 1.741717 loss_bbox: 1.057226 loss_dfl: 0.683170 loss: 3.460978 eta: 1 day, 11:11:36 batch_cost: 0.8205 data_cost: 0.0028 ips: 78.0038 images/s
[03/18 09:58:38] ppdet.engine INFO: Epoch: [0] [160/458] learning_rate: 0.185600 loss_vfl: 1.767615 loss_bbox: 1.007449 loss_dfl: 0.669289 loss: 3.437086 eta: 1 day, 10:42:04 batch_cost: 0.8202 data_cost: 0.0021 ips: 78.0330 images/s
[03/18 09:58:58] ppdet.engine INFO: Epoch: [0] [180/458] learning_rate: 0.204800 loss_vfl: 1.770916 loss_bbox: 1.015056 loss_dfl: 0.665496 loss: 3.443516 eta: 1 day, 10:50:35 batch_cost: 0.9452 data_cost: 0.0071 ips: 67.7113 images/s
[03/18 09:59:17] ppdet.engine INFO: Epoch: [0] [200/458] learning_rate: 0.224000 loss_vfl: 1.709234 loss_bbox: 0.959528 loss_dfl: 0.640303 loss: 3.310742 eta: 1 day, 10:24:22 batch_cost: 0.8002 data_cost: 0.0040 ips: 79.9824 images/s
[03/18 09:59:33] ppdet.engine INFO: Epoch: [0] [220/458] learning_rate: 0.243200 loss_vfl: 1.726756 loss_bbox: 0.881448 loss_dfl: 0.588946 loss: 3.203388 eta: 1 day, 9:48:20 batch_cost: 0.7301 data_cost: 0.0003 ips: 87.6547 images/s
[03/18 09:59:49] ppdet.engine INFO: Epoch: [0] [240/458] learning_rate: 0.262400 loss_vfl: 1.682263 loss_bbox: 0.893315 loss_dfl: 0.600120 loss: 3.167148 eta: 1 day, 9:19:52 batch_cost: 0.7386 data_cost: 0.0111 ips: 86.6450 images/s
[03/18 10:00:07] ppdet.engine INFO: Epoch: [0] [260/458] learning_rate: 0.281600 loss_vfl: 1.706903 loss_bbox: 0.892963 loss_dfl: 0.603127 loss: 3.227988 eta: 1 day, 8:54:01 batch_cost: 0.7289 data_cost: 0.0033 ips: 87.7976 images/s
[03/18 10:00:23] ppdet.engine INFO: Epoch: [0] [280/458] learning_rate: 0.300800 loss_vfl: 1.837872 loss_bbox: 0.959351 loss_dfl: 0.640742 loss: 3.434253 eta: 1 day, 8:26:52 batch_cost: 0.6985 data_cost: 0.0089 ips: 91.6313 images/s
[03/18 10:00:45] ppdet.engine INFO: Epoch: [0] [300/458] learning_rate: 0.320000 loss_vfl: 1.709131 loss_bbox: 0.893295 loss_dfl: 0.594225 loss: 3.206866 eta: 1 day, 8:46:36 batch_cost: 0.9838 data_cost: 0.0033 ips: 65.0545 images/s
[03/18 10:01:04] ppdet.engine INFO: Epoch: [0] [320/458] learning_rate: 0.320000 loss_vfl: 1.728801 loss_bbox: 0.866546 loss_dfl: 0.582196 loss: 3.184509 eta: 1 day, 8:40:58 batch_cost: 0.8231 data_cost: 0.0036 ips: 77.7525 images/s
[03/18 10:01:20] ppdet.engine INFO: Epoch: [0] [340/458] learning_rate: 0.320000 loss_vfl: 1.694092 loss_bbox: 0.863922 loss_dfl: 0.593936 loss: 3.219645 eta: 1 day, 8:12:54 batch_cost: 0.6509 data_cost: 0.0057 ips: 98.3193 images/s
[03/18 10:01:40] ppdet.engine INFO: Epoch: [0] [360/458] learning_rate: 0.320000 loss_vfl: 1.723810 loss_bbox: 0.924375 loss_dfl: 0.613041 loss: 3.260772 eta: 1 day, 8:21:48 batch_cost: 0.9187 data_cost: 0.0017 ips: 69.6603 images/s
[03/18 10:01:59] ppdet.engine INFO: Epoch: [0] [380/458] learning_rate: 0.320000 loss_vfl: 1.712008 loss_bbox: 0.883984 loss_dfl: 0.596466 loss: 3.189034 eta: 1 day, 8:19:13 batch_cost: 0.8309 data_cost: 0.0445 ips: 77.0220 images/s
[03/18 10:02:17] ppdet.engine INFO: Epoch: [0] [400/458] learning_rate: 0.320000 loss_vfl: 1.668419 loss_bbox: 0.873611 loss_dfl: 0.591938 loss: 3.129850 eta: 1 day, 8:07:29 batch_cost: 0.7486 data_cost: 0.0024 ips: 85.4952 images/s
[03/18 10:02:35] ppdet.engine INFO: Epoch: [0] [420/458] learning_rate: 0.319999 loss_vfl: 1.694110 loss_bbox: 0.913636 loss_dfl: 0.609899 loss: 3.224457 eta: 1 day, 8:02:17 batch_cost: 0.7988 data_cost: 0.0062 ips: 80.1167 images/s
[03/18 10:02:56] ppdet.engine INFO: Epoch: [0] [440/458] learning_rate: 0.319999 loss_vfl: 1.782127 loss_bbox: 0.921104 loss_dfl: 0.606384 loss: 3.336674 eta: 1 day, 8:12:37 batch_cost: 0.9445 data_cost: 0.0037 ips: 67.7602 images/s
[03/18 10:03:17] ppdet.engine INFO: Epoch: [1] [  0/458] learning_rate: 0.319999 loss_vfl: 1.753945 loss_bbox: 0.858479 loss_dfl: 0.592389 loss: 3.256583 eta: 1 day, 8:28:41 batch_cost: 1.1116 data_cost: 0.3658 ips: 57.5723 images/s
[03/18 10:03:35] ppdet.engine INFO: Epoch: [1] [ 20/458] learning_rate: 0.319999 loss_vfl: 1.670177 loss_bbox: 0.839467 loss_dfl: 0.569189 loss: 3.081358 eta: 1 day, 8:20:28 batch_cost: 0.7705 data_cost: 0.1140 ips: 83.0647 images/s
[03/18 10:03:56] ppdet.engine INFO: Epoch: [1] [ 40/458] learning_rate: 0.319998 loss_vfl: 1.643418 loss_bbox: 0.850092 loss_dfl: 0.574911 loss: 3.059213 eta: 1 day, 8:22:10 batch_cost: 0.8721 data_cost: 0.3797 ips: 73.3842 images/s
[03/18 10:04:15] ppdet.engine INFO: Epoch: [1] [ 60/458] learning_rate: 0.319998 loss_vfl: 1.597009 loss_bbox: 0.820932 loss_dfl: 0.553066 loss: 2.979744 eta: 1 day, 8:20:27 batch_cost: 0.8349 data_cost: 0.0978 ips: 76.6584 images/s
[03/18 10:04:36] ppdet.engine INFO: Epoch: [1] [ 80/458] learning_rate: 0.319998 loss_vfl: 1.612214 loss_bbox: 0.809521 loss_dfl: 0.558821 loss: 3.014046 eta: 1 day, 8:28:41 batch_cost: 0.9512 data_cost: 0.0053 ips: 67.2850 images/s
[03/18 10:04:55] ppdet.engine INFO: Epoch: [1] [100/458] learning_rate: 0.319997 loss_vfl: 1.695440 loss_bbox: 0.837403 loss_dfl: 0.575546 loss: 3.126741 eta: 1 day, 8:24:44 batch_cost: 0.8093 data_cost: 0.0026 ips: 79.0759 images/s
[03/18 10:05:15] ppdet.engine INFO: Epoch: [1] [120/458] learning_rate: 0.319997 loss_vfl: 1.658333 loss_bbox: 0.817719 loss_dfl: 0.556416 loss: 3.006604 eta: 1 day, 8:27:19 batch_cost: 0.8891 data_cost: 0.1720 ips: 71.9826 images/s
[03/18 10:05:34] ppdet.engine INFO: Epoch: [1] [140/458] learning_rate: 0.319996 loss_vfl: 1.679757 loss_bbox: 0.858168 loss_dfl: 0.589822 loss: 3.138585 eta: 1 day, 8:22:18 batch_cost: 0.7917 data_cost: 0.1705 ips: 80.8354 images/s
[03/18 10:05:54] ppdet.engine INFO: Epoch: [1] [160/458] learning_rate: 0.319996 loss_vfl: 1.590213 loss_bbox: 0.821809 loss_dfl: 0.565556 loss: 2.985769 eta: 1 day, 8:23:28 batch_cost: 0.8717 data_cost: 0.3321 ips: 73.4190 images/s
[03/18 10:06:13] ppdet.engine INFO: Epoch: [1] [180/458] learning_rate: 0.319995 loss_vfl: 1.678179 loss_bbox: 0.826535 loss_dfl: 0.561678 loss: 3.044416 eta: 1 day, 8:21:57 batch_cost: 0.8351 data_cost: 0.3145 ips: 76.6403 images/s
[03/18 10:06:32] ppdet.engine INFO: Epoch: [1] [200/458] learning_rate: 0.319995 loss_vfl: 1.730104 loss_bbox: 0.875499 loss_dfl: 0.587990 loss: 3.204600 eta: 1 day, 8:20:18 batch_cost: 0.8323 data_cost: 0.2530 ips: 76.8934 images/s
[03/18 10:06:48] ppdet.engine INFO: Epoch: [1] [220/458] learning_rate: 0.319994 loss_vfl: 1.613904 loss_bbox: 0.780733 loss_dfl: 0.551337 loss: 2.974192 eta: 1 day, 8:07:59 batch_cost: 0.6721 data_cost: 0.0920 ips: 95.2198 images/s
[03/18 10:07:03] ppdet.engine INFO: Epoch: [1] [240/458] learning_rate: 0.319993 loss_vfl: 1.505154 loss_bbox: 0.812177 loss_dfl: 0.549077 loss: 2.885829 eta: 1 day, 7:57:10 batch_cost: 0.6844 data_cost: 0.1632 ips: 93.5172 images/s
[03/18 10:07:19] ppdet.engine INFO: Epoch: [1] [260/458] learning_rate: 0.319993 loss_vfl: 1.686398 loss_bbox: 0.853603 loss_dfl: 0.593064 loss: 3.119159 eta: 1 day, 7:45:21 batch_cost: 0.6596 data_cost: 0.1476 ips: 97.0230 images/s
[03/18 10:07:36] ppdet.engine INFO: Epoch: [1] [280/458] learning_rate: 0.319992 loss_vfl: 1.612195 loss_bbox: 0.799094 loss_dfl: 0.549352 loss: 2.970625 eta: 1 day, 7:42:36 batch_cost: 0.7962 data_cost: 0.0258 ips: 80.3815 images/s
[03/18 10:07:57] ppdet.engine INFO: Epoch: [1] [300/458] learning_rate: 0.319991 loss_vfl: 1.584869 loss_bbox: 0.832588 loss_dfl: 0.575833 loss: 3.014273 eta: 1 day, 7:45:45 batch_cost: 0.8926 data_cost: 0.3735 ips: 71.7034 images/s
[03/18 10:08:15] ppdet.engine INFO: Epoch: [1] [320/458] learning_rate: 0.319990 loss_vfl: 1.496759 loss_bbox: 0.754785 loss_dfl: 0.527520 loss: 2.775012 eta: 1 day, 7:43:25 batch_cost: 0.8014 data_cost: 0.2427 ips: 79.8562 images/s
[03/18 10:08:34] ppdet.engine INFO: Epoch: [1] [340/458] learning_rate: 0.319990 loss_vfl: 1.615797 loss_bbox: 0.848075 loss_dfl: 0.579059 loss: 3.066497 eta: 1 day, 7:46:12 batch_cost: 0.8899 data_cost: 0.3551 ips: 71.9175 images/s
[03/18 10:08:53] ppdet.engine INFO: Epoch: [1] [360/458] learning_rate: 0.319989 loss_vfl: 1.600246 loss_bbox: 0.793940 loss_dfl: 0.541400 loss: 2.898687 eta: 1 day, 7:45:24 batch_cost: 0.8277 data_cost: 0.2324 ips: 77.3194 images/s
[03/18 10:09:12] ppdet.engine INFO: Epoch: [1] [380/458] learning_rate: 0.319988 loss_vfl: 1.579682 loss_bbox: 0.814112 loss_dfl: 0.556916 loss: 2.966694 eta: 1 day, 7:44:57 batch_cost: 0.8339 data_cost: 0.2326 ips: 76.7455 images/s
[03/18 10:09:31] ppdet.engine INFO: Epoch: [1] [400/458] learning_rate: 0.319987 loss_vfl: 1.551367 loss_bbox: 0.806650 loss_dfl: 0.544485 loss: 2.922270 eta: 1 day, 7:41:09 batch_cost: 0.7705 data_cost: 0.2004 ips: 83.0583 images/s
[03/18 10:09:53] ppdet.engine INFO: Epoch: [1] [420/458] learning_rate: 0.319986 loss_vfl: 1.520035 loss_bbox: 0.781213 loss_dfl: 0.521426 loss: 2.823740 eta: 1 day, 7:47:18 batch_cost: 0.9594 data_cost: 0.1545 ips: 66.7066 images/s
[03/18 10:10:13] ppdet.engine INFO: Epoch: [1] [440/458] learning_rate: 0.319985 loss_vfl: 1.608804 loss_bbox: 0.806396 loss_dfl: 0.556456 loss: 2.960971 eta: 1 day, 7:46:07 batch_cost: 0.8204 data_cost: 0.0032 ips: 78.0087 images/s
[03/18 10:10:36] ppdet.engine INFO: Epoch: [2] [  0/458] learning_rate: 0.319984 loss_vfl: 1.632037 loss_bbox: 0.840143 loss_dfl: 0.572555 loss: 3.057807 eta: 1 day, 7:59:11 batch_cost: 1.0952 data_cost: 0.2577 ips: 58.4354 images/s
[03/18 10:11:00] ppdet.engine INFO: Epoch: [2] [ 20/458] learning_rate: 0.319983 loss_vfl: 1.580688 loss_bbox: 0.796870 loss_dfl: 0.549029 loss: 2.954698 eta: 1 day, 8:07:49 batch_cost: 1.0274 data_cost: 0.0029 ips: 62.2939 images/s
[03/18 10:11:22] ppdet.engine INFO: Epoch: [2] [ 40/458] learning_rate: 0.319982 loss_vfl: 1.579146 loss_bbox: 0.850506 loss_dfl: 0.580870 loss: 3.011493 eta: 1 day, 8:13:32 batch_cost: 0.9737 data_cost: 0.0033 ips: 65.7304 images/s
[03/18 10:11:44] ppdet.engine INFO: Epoch: [2] [ 60/458] learning_rate: 0.319981 loss_vfl: 1.591310 loss_bbox: 0.797888 loss_dfl: 0.559423 loss: 2.973000 eta: 1 day, 8:18:51 batch_cost: 0.9707 data_cost: 0.0024 ips: 65.9319 images/s
[03/18 10:12:04] ppdet.engine INFO: Epoch: [2] [ 80/458] learning_rate: 0.319980 loss_vfl: 1.625556 loss_bbox: 0.803414 loss_dfl: 0.561913 loss: 2.971819 eta: 1 day, 8:19:08 batch_cost: 0.8650 data_cost: 0.0018 ips: 73.9879 images/s
[03/18 10:12:23] ppdet.engine INFO: Epoch: [2] [100/458] learning_rate: 0.319978 loss_vfl: 1.518849 loss_bbox: 0.755757 loss_dfl: 0.521595 loss: 2.782811 eta: 1 day, 8:18:32 batch_cost: 0.8459 data_cost: 0.0088 ips: 75.6606 images/s
[03/18 10:12:43] ppdet.engine INFO: Epoch: [2] [120/458] learning_rate: 0.319977 loss_vfl: 1.541362 loss_bbox: 0.794417 loss_dfl: 0.549692 loss: 2.919707 eta: 1 day, 8:20:03 batch_cost: 0.8941 data_cost: 0.0085 ips: 71.5823 images/s
[03/18 10:13:02] ppdet.engine INFO: Epoch: [2] [140/458] learning_rate: 0.319976 loss_vfl: 1.583535 loss_bbox: 0.792003 loss_dfl: 0.549654 loss: 2.905814 eta: 1 day, 8:18:56 batch_cost: 0.8340 data_cost: 0.0050 ips: 76.7364 images/s
[03/18 10:13:22] ppdet.engine INFO: Epoch: [2] [160/458] learning_rate: 0.319975 loss_vfl: 1.595441 loss_bbox: 0.771468 loss_dfl: 0.535845 loss: 2.907558 eta: 1 day, 8:20:56 batch_cost: 0.9077 data_cost: 0.0048 ips: 70.5111 images/s
[03/18 10:13:43] ppdet.engine INFO: Epoch: [2] [180/458] learning_rate: 0.319973 loss_vfl: 1.599437 loss_bbox: 0.809962 loss_dfl: 0.558729 loss: 2.990308 eta: 1 day, 8:24:47 batch_cost: 0.9539 data_cost: 0.0018 ips: 67.0899 images/s
[03/18 10:14:04] ppdet.engine INFO: Epoch: [2] [200/458] learning_rate: 0.319972 loss_vfl: 1.490656 loss_bbox: 0.776561 loss_dfl: 0.530176 loss: 2.808112 eta: 1 day, 8:27:30 batch_cost: 0.9299 data_cost: 0.0030 ips: 68.8240 images/s
[03/18 10:14:24] ppdet.engine INFO: Epoch: [2] [220/458] learning_rate: 0.319971 loss_vfl: 1.609004 loss_bbox: 0.759971 loss_dfl: 0.546444 loss: 2.900358 eta: 1 day, 8:29:39 batch_cost: 0.9183 data_cost: 0.0036 ips: 69.6916 images/s
[03/18 10:14:38] ppdet.engine INFO: Epoch: [2] [240/458] learning_rate: 0.319969 loss_vfl: 1.610735 loss_bbox: 0.793251 loss_dfl: 0.552115 loss: 2.965306 eta: 1 day, 8:19:18 batch_cost: 0.6023 data_cost: 0.0041 ips: 106.2620 images/s
[03/18 10:14:54] ppdet.engine INFO: Epoch: [2] [260/458] learning_rate: 0.319968 loss_vfl: 1.632036 loss_bbox: 0.816311 loss_dfl: 0.559355 loss: 2.971890 eta: 1 day, 8:14:04 batch_cost: 0.7258 data_cost: 0.0021 ips: 88.1806 images/s
[03/18 10:15:11] ppdet.engine INFO: Epoch: [2] [280/458] learning_rate: 0.319966 loss_vfl: 1.561981 loss_bbox: 0.830352 loss_dfl: 0.572892 loss: 2.966587 eta: 1 day, 8:08:23 batch_cost: 0.7093 data_cost: 0.0055 ips: 90.2331 images/s
[03/18 10:15:32] ppdet.engine INFO: Epoch: [2] [300/458] learning_rate: 0.319965 loss_vfl: 1.568739 loss_bbox: 0.790548 loss_dfl: 0.542204 loss: 2.879400 eta: 1 day, 8:12:35 batch_cost: 0.9697 data_cost: 0.0069 ips: 65.9989 images/s
[03/18 10:15:47] ppdet.engine INFO: Epoch: [2] [320/458] learning_rate: 0.319963 loss_vfl: 1.699561 loss_bbox: 0.840910 loss_dfl: 0.597392 loss: 3.173440 eta: 1 day, 8:04:29 batch_cost: 0.6384 data_cost: 0.0023 ips: 100.2532 images/s
[03/18 10:16:08] ppdet.engine INFO: Epoch: [2] [340/458] learning_rate: 0.319962 loss_vfl: 1.504855 loss_bbox: 0.754304 loss_dfl: 0.528392 loss: 2.853952 eta: 1 day, 8:09:22 batch_cost: 0.9913 data_cost: 0.0029 ips: 64.5636 images/s
[03/18 10:16:27] ppdet.engine INFO: Epoch: [2] [360/458] learning_rate: 0.319960 loss_vfl: 1.515918 loss_bbox: 0.797242 loss_dfl: 0.548415 loss: 2.854640 eta: 1 day, 8:08:46 batch_cost: 0.8414 data_cost: 0.0025 ips: 76.0594 images/s
[03/18 10:16:46] ppdet.engine INFO: Epoch: [2] [380/458] learning_rate: 0.319958 loss_vfl: 1.542803 loss_bbox: 0.798882 loss_dfl: 0.552927 loss: 2.933895 eta: 1 day, 8:08:39 batch_cost: 0.8547 data_cost: 0.0007 ips: 74.8788 images/s
[03/18 10:17:04] ppdet.engine INFO: Epoch: [2] [400/458] learning_rate: 0.319957 loss_vfl: 1.504283 loss_bbox: 0.758924 loss_dfl: 0.527638 loss: 2.825756 eta: 1 day, 8:05:34 batch_cost: 0.7693 data_cost: 0.0050 ips: 83.1925 images/s
[03/18 10:17:25] ppdet.engine INFO: Epoch: [2] [420/458] learning_rate: 0.319955 loss_vfl: 1.545955 loss_bbox: 0.764732 loss_dfl: 0.531382 loss: 2.840342 eta: 1 day, 8:08:42 batch_cost: 0.9495 data_cost: 0.0037 ips: 67.4026 images/s
[03/18 10:17:42] ppdet.engine INFO: Epoch: [2] [440/458] learning_rate: 0.319953 loss_vfl: 1.581740 loss_bbox: 0.783850 loss_dfl: 0.558179 loss: 2.937917 eta: 1 day, 8:06:02 batch_cost: 0.7790 data_cost: 0.0029 ips: 82.1599 images/s
[03/18 10:18:04] ppdet.engine INFO: Epoch: [3] [  0/458] learning_rate: 0.319952 loss_vfl: 1.523570 loss_bbox: 0.750194 loss_dfl: 0.528591 loss: 2.799809 eta: 1 day, 8:13:14 batch_cost: 1.0472 data_cost: 0.3691 ips: 61.1154 images/s
[03/18 10:18:23] ppdet.engine INFO: Epoch: [3] [ 20/458] learning_rate: 0.319950 loss_vfl: 1.604828 loss_bbox: 0.806793 loss_dfl: 0.552075 loss: 2.936390 eta: 1 day, 8:12:52 batch_cost: 0.8503 data_cost: 0.0036 ips: 75.2707 images/s
[03/18 10:18:42] ppdet.engine INFO: Epoch: [3] [ 40/458] learning_rate: 0.319948 loss_vfl: 1.530894 loss_bbox: 0.766281 loss_dfl: 0.523525 loss: 2.819246 eta: 1 day, 8:11:05 batch_cost: 0.8058 data_cost: 0.0066 ips: 79.4209 images/s
[03/18 10:19:02] ppdet.engine INFO: Epoch: [3] [ 60/458] learning_rate: 0.319946 loss_vfl: 1.554110 loss_bbox: 0.764022 loss_dfl: 0.522712 loss: 2.833805 eta: 1 day, 8:11:39 batch_cost: 0.8791 data_cost: 0.0009 ips: 72.8021 images/s
[03/18 10:19:20] ppdet.engine INFO: Epoch: [3] [ 80/458] learning_rate: 0.319944 loss_vfl: 1.632382 loss_bbox: 0.779533 loss_dfl: 0.565039 loss: 2.957307 eta: 1 day, 8:08:10 batch_cost: 0.7497 data_cost: 0.0030 ips: 85.3712 images/s
[03/18 10:19:39] ppdet.engine INFO: Epoch: [3] [100/458] learning_rate: 0.319942 loss_vfl: 1.522575 loss_bbox: 0.769624 loss_dfl: 0.539673 loss: 2.836346 eta: 1 day, 8:05:40 batch_cost: 0.7790 data_cost: 0.0016 ips: 82.1549 images/s
[03/18 10:20:00] ppdet.engine INFO: Epoch: [3] [120/458] learning_rate: 0.319940 loss_vfl: 1.592245 loss_bbox: 0.765686 loss_dfl: 0.543383 loss: 2.886768 eta: 1 day, 8:09:48 batch_cost: 0.9956 data_cost: 0.0033 ips: 64.2840 images/s
[03/18 10:20:20] ppdet.engine INFO: Epoch: [3] [140/458] learning_rate: 0.319938 loss_vfl: 1.543866 loss_bbox: 0.784275 loss_dfl: 0.546191 loss: 2.906776 eta: 1 day, 8:10:20 batch_cost: 0.8796 data_cost: 0.0013 ips: 72.7636 images/s
[03/18 10:20:40] ppdet.engine INFO: Epoch: [3] [160/458] learning_rate: 0.319936 loss_vfl: 1.576554 loss_bbox: 0.778680 loss_dfl: 0.546643 loss: 2.910533 eta: 1 day, 8:12:14 batch_cost: 0.9263 data_cost: 0.0055 ips: 69.0939 images/s
[03/18 10:20:59] ppdet.engine INFO: Epoch: [3] [180/458] learning_rate: 0.319934 loss_vfl: 1.529280 loss_bbox: 0.782003 loss_dfl: 0.554135 loss: 2.924255 eta: 1 day, 8:11:29 batch_cost: 0.8371 data_cost: 0.0019 ips: 76.4588 images/s
[03/18 10:21:18] ppdet.engine INFO: Epoch: [3] [200/458] learning_rate: 0.319932 loss_vfl: 1.496762 loss_bbox: 0.736750 loss_dfl: 0.528560 loss: 2.778700 eta: 1 day, 8:11:07 batch_cost: 0.8507 data_cost: 0.0025 ips: 75.2298 images/s
[03/18 10:21:39] ppdet.engine INFO: Epoch: [3] [220/458] learning_rate: 0.319930 loss_vfl: 1.454582 loss_bbox: 0.750452 loss_dfl: 0.523359 loss: 2.714475 eta: 1 day, 8:14:08 batch_cost: 0.9691 data_cost: 0.0028 ips: 66.0413 images/s
[03/18 10:21:53] ppdet.engine INFO: Epoch: [3] [240/458] learning_rate: 0.319927 loss_vfl: 1.541562 loss_bbox: 0.780185 loss_dfl: 0.547392 loss: 2.869645 eta: 1 day, 8:07:55 batch_cost: 0.6427 data_cost: 0.0014 ips: 99.5724 images/s
[03/18 10:22:09] ppdet.engine INFO: Epoch: [3] [260/458] learning_rate: 0.319925 loss_vfl: 1.493188 loss_bbox: 0.758869 loss_dfl: 0.527921 loss: 2.794749 eta: 1 day, 8:03:49 batch_cost: 0.7140 data_cost: 0.0017 ips: 89.6328 images/s
[03/18 10:22:25] ppdet.engine INFO: Epoch: [3] [280/458] learning_rate: 0.319923 loss_vfl: 1.507321 loss_bbox: 0.775423 loss_dfl: 0.528831 loss: 2.822731 eta: 1 day, 7:59:47 batch_cost: 0.7130 data_cost: 0.0024 ips: 89.7597 images/s
[03/18 10:22:43] ppdet.engine INFO: Epoch: [3] [300/458] learning_rate: 0.319921 loss_vfl: 1.519677 loss_bbox: 0.801237 loss_dfl: 0.546183 loss: 2.847436 eta: 1 day, 7:58:29 batch_cost: 0.8113 data_cost: 0.0016 ips: 78.8809 images/s
[03/18 10:23:03] ppdet.engine INFO: Epoch: [3] [320/458] learning_rate: 0.319918 loss_vfl: 1.589110 loss_bbox: 0.801281 loss_dfl: 0.558913 loss: 2.934988 eta: 1 day, 7:58:04 batch_cost: 0.8425 data_cost: 0.0024 ips: 75.9608 images/s
[03/18 10:23:22] ppdet.engine INFO: Epoch: [3] [340/458] learning_rate: 0.319916 loss_vfl: 1.499543 loss_bbox: 0.775661 loss_dfl: 0.533477 loss: 2.815215 eta: 1 day, 7:57:47 batch_cost: 0.8481 data_cost: 0.0021 ips: 75.4668 images/s
[03/18 10:23:42] ppdet.engine INFO: Epoch: [3] [360/458] learning_rate: 0.319914 loss_vfl: 1.518608 loss_bbox: 0.769205 loss_dfl: 0.540251 loss: 2.803819 eta: 1 day, 7:57:25 batch_cost: 0.8448 data_cost: 0.0047 ips: 75.7589 images/s
[03/18 10:23:59] ppdet.engine INFO: Epoch: [3] [380/458] learning_rate: 0.319911 loss_vfl: 1.513261 loss_bbox: 0.763335 loss_dfl: 0.545066 loss: 2.836861 eta: 1 day, 7:54:13 batch_cost: 0.7351 data_cost: 0.0039 ips: 87.0647 images/s
[03/18 10:24:22] ppdet.engine INFO: Epoch: [3] [400/458] learning_rate: 0.319909 loss_vfl: 1.554843 loss_bbox: 0.765062 loss_dfl: 0.529134 loss: 2.840154 eta: 1 day, 7:58:25 batch_cost: 1.0225 data_cost: 0.0093 ips: 62.5934 images/s
[03/18 10:24:39] ppdet.engine INFO: Epoch: [3] [420/458] learning_rate: 0.319906 loss_vfl: 1.491496 loss_bbox: 0.722705 loss_dfl: 0.515763 loss: 2.753985 eta: 1 day, 7:55:49 batch_cost: 0.7568 data_cost: 0.0031 ips: 84.5712 images/s
[03/18 10:24:56] ppdet.engine INFO: Epoch: [3] [440/458] learning_rate: 0.319904 loss_vfl: 1.454291 loss_bbox: 0.747627 loss_dfl: 0.519514 loss: 2.720702 eta: 1 day, 7:53:48 batch_cost: 0.7778 data_cost: 0.0023 ips: 82.2842 images/s
[03/18 10:25:18] ppdet.engine INFO: Epoch: [4] [  0/458] learning_rate: 0.319901 loss_vfl: 1.486778 loss_bbox: 0.774934 loss_dfl: 0.547136 loss: 2.825459 eta: 1 day, 7:59:23 batch_cost: 1.0721 data_cost: 0.2232 ips: 59.6972 images/s
[03/18 10:25:36] ppdet.engine INFO: Epoch: [4] [ 20/458] learning_rate: 0.319899 loss_vfl: 1.502712 loss_bbox: 0.748450 loss_dfl: 0.533697 loss: 2.788907 eta: 1 day, 7:56:40 batch_cost: 0.7500 data_cost: 0.0051 ips: 85.3382 images/s
[03/18 10:25:57] ppdet.engine INFO: Epoch: [4] [ 40/458] learning_rate: 0.319896 loss_vfl: 1.495987 loss_bbox: 0.756631 loss_dfl: 0.529386 loss: 2.785829 eta: 1 day, 7:59:21 batch_cost: 0.9709 data_cost: 0.0091 ips: 65.9160 images/s
[03/18 10:26:18] ppdet.engine INFO: Epoch: [4] [ 60/458] learning_rate: 0.319894 loss_vfl: 1.479186 loss_bbox: 0.709234 loss_dfl: 0.502891 loss: 2.732968 eta: 1 day, 8:01:58 batch_cost: 0.9713 data_cost: 0.0013 ips: 65.8934 images/s
[03/18 10:26:38] ppdet.engine INFO: Epoch: [4] [ 80/458] learning_rate: 0.319891 loss_vfl: 1.506562 loss_bbox: 0.750592 loss_dfl: 0.528754 loss: 2.782625 eta: 1 day, 8:01:53 batch_cost: 0.8600 data_cost: 0.0045 ips: 74.4203 images/s
[03/18 10:26:58] ppdet.engine INFO: Epoch: [4] [100/458] learning_rate: 0.319888 loss_vfl: 1.503007 loss_bbox: 0.714393 loss_dfl: 0.506166 loss: 2.713176 eta: 1 day, 8:02:43 batch_cost: 0.8987 data_cost: 0.0043 ips: 71.2135 images/s
[03/18 10:27:16] ppdet.engine INFO: Epoch: [4] [120/458] learning_rate: 0.319885 loss_vfl: 1.515171 loss_bbox: 0.772921 loss_dfl: 0.538428 loss: 2.840541 eta: 1 day, 8:00:48 batch_cost: 0.7814 data_cost: 0.0033 ips: 81.9090 images/s
[03/18 10:27:37] ppdet.engine INFO: Epoch: [4] [140/458] learning_rate: 0.319883 loss_vfl: 1.542173 loss_bbox: 0.782474 loss_dfl: 0.551930 loss: 2.879548 eta: 1 day, 8:02:11 batch_cost: 0.9235 data_cost: 0.0014 ips: 69.3022 images/s
[03/18 10:27:56] ppdet.engine INFO: Epoch: [4] [160/458] learning_rate: 0.319880 loss_vfl: 1.521242 loss_bbox: 0.772495 loss_dfl: 0.535936 loss: 2.805485 eta: 1 day, 8:01:27 batch_cost: 0.8314 data_cost: 0.0040 ips: 76.9787 images/s
[03/18 10:28:14] ppdet.engine INFO: Epoch: [4] [180/458] learning_rate: 0.319877 loss_vfl: 1.504433 loss_bbox: 0.770916 loss_dfl: 0.550476 loss: 2.857533 eta: 1 day, 8:00:26 batch_cost: 0.8191 data_cost: 0.0016 ips: 78.1307 images/s
[03/18 10:28:32] ppdet.engine INFO: Epoch: [4] [200/458] learning_rate: 0.319874 loss_vfl: 1.530222 loss_bbox: 0.753260 loss_dfl: 0.535810 loss: 2.841735 eta: 1 day, 7:58:52 batch_cost: 0.7933 data_cost: 0.0059 ips: 80.6794 images/s
[03/18 10:28:50] ppdet.engine INFO: Epoch: [4] [220/458] learning_rate: 0.319871 loss_vfl: 1.510694 loss_bbox: 0.766113 loss_dfl: 0.549584 loss: 2.840831 eta: 1 day, 7:57:45 batch_cost: 0.8121 data_cost: 0.0014 ips: 78.8109 images/s
[03/18 10:29:09] ppdet.engine INFO: Epoch: [4] [240/458] learning_rate: 0.319868 loss_vfl: 1.524436 loss_bbox: 0.751014 loss_dfl: 0.529403 loss: 2.804527 eta: 1 day, 7:56:55 batch_cost: 0.8256 data_cost: 0.0057 ips: 77.5173 images/s
[03/18 10:29:25] ppdet.engine INFO: Epoch: [4] [260/458] learning_rate: 0.319865 loss_vfl: 1.503058 loss_bbox: 0.749483 loss_dfl: 0.512695 loss: 2.743656 eta: 1 day, 7:54:20 batch_cost: 0.7424 data_cost: 0.0062 ips: 86.2018 images/s
[03/18 10:29:41] ppdet.engine INFO: Epoch: [4] [280/458] learning_rate: 0.319862 loss_vfl: 1.515136 loss_bbox: 0.788777 loss_dfl: 0.538499 loss: 2.852404 eta: 1 day, 7:50:47 batch_cost: 0.6964 data_cost: 0.0047 ips: 91.9004 images/s
[03/18 10:29:57] ppdet.engine INFO: Epoch: [4] [300/458] learning_rate: 0.319859 loss_vfl: 1.479858 loss_bbox: 0.787800 loss_dfl: 0.534420 loss: 2.812442 eta: 1 day, 7:46:13 batch_cost: 0.6443 data_cost: 0.0038 ips: 99.3291 images/s
[03/18 10:30:20] ppdet.engine INFO: Epoch: [4] [320/458] learning_rate: 0.319856 loss_vfl: 1.536036 loss_bbox: 0.775582 loss_dfl: 0.546182 loss: 2.857801 eta: 1 day, 7:50:22 batch_cost: 1.0574 data_cost: 0.0032 ips: 60.5271 images/s
[03/18 10:30:40] ppdet.engine INFO: Epoch: [4] [340/458] learning_rate: 0.319853 loss_vfl: 1.464270 loss_bbox: 0.726387 loss_dfl: 0.505787 loss: 2.695107 eta: 1 day, 7:51:47 batch_cost: 0.9292 data_cost: 0.0022 ips: 68.8781 images/s
[03/18 10:30:58] ppdet.engine INFO: Epoch: [4] [360/458] learning_rate: 0.319850 loss_vfl: 1.516222 loss_bbox: 0.787469 loss_dfl: 0.549107 loss: 2.847294 eta: 1 day, 7:49:57 batch_cost: 0.7732 data_cost: 0.0010 ips: 82.7755 images/s
[03/18 10:31:16] ppdet.engine INFO: Epoch: [4] [380/458] learning_rate: 0.319846 loss_vfl: 1.470359 loss_bbox: 0.766191 loss_dfl: 0.526994 loss: 2.762038 eta: 1 day, 7:48:39 batch_cost: 0.7978 data_cost: 0.0026 ips: 80.2197 images/s
[03/18 10:31:36] ppdet.engine INFO: Epoch: [4] [400/458] learning_rate: 0.319843 loss_vfl: 1.521556 loss_bbox: 0.778712 loss_dfl: 0.537823 loss: 2.831706 eta: 1 day, 7:49:23 batch_cost: 0.8970 data_cost: 0.0026 ips: 71.3481 images/s
[03/18 10:31:55] ppdet.engine INFO: Epoch: [4] [420/458] learning_rate: 0.319840 loss_vfl: 1.550323 loss_bbox: 0.786668 loss_dfl: 0.543253 loss: 2.874346 eta: 1 day, 7:49:36 batch_cost: 0.8722 data_cost: 0.0031 ips: 73.3769 images/s
[03/18 10:32:14] ppdet.engine INFO: Epoch: [4] [440/458] learning_rate: 0.319837 loss_vfl: 1.465969 loss_bbox: 0.749196 loss_dfl: 0.527938 loss: 2.764458 eta: 1 day, 7:49:35 batch_cost: 0.8616 data_cost: 0.0070 ips: 74.2792 images/s
[03/18 10:32:38] ppdet.engine INFO: Epoch: [5] [  0/458] learning_rate: 0.319834 loss_vfl: 1.426613 loss_bbox: 0.711568 loss_dfl: 0.519686 loss: 2.675574 eta: 1 day, 7:55:29 batch_cost: 1.1910 data_cost: 0.3529 ips: 53.7371 images/s
[03/18 10:32:57] ppdet.engine INFO: Epoch: [5] [ 20/458] learning_rate: 0.319830 loss_vfl: 1.458121 loss_bbox: 0.714428 loss_dfl: 0.505762 loss: 2.648185 eta: 1 day, 7:55:31 batch_cost: 0.8670 data_cost: 0.0054 ips: 73.8218 images/s
[03/18 10:33:16] ppdet.engine INFO: Epoch: [5] [ 40/458] learning_rate: 0.319827 loss_vfl: 1.489713 loss_bbox: 0.761124 loss_dfl: 0.535902 loss: 2.792867 eta: 1 day, 7:54:46 batch_cost: 0.8267 data_cost: 0.0058 ips: 77.4157 images/s
[03/18 10:33:36] ppdet.engine INFO: Epoch: [5] [ 60/458] learning_rate: 0.319824 loss_vfl: 1.463250 loss_bbox: 0.737435 loss_dfl: 0.523393 loss: 2.707183 eta: 1 day, 7:56:06 batch_cost: 0.9354 data_cost: 0.0014 ips: 68.4179 images/s
[03/18 10:33:55] ppdet.engine INFO: Epoch: [5] [ 80/458] learning_rate: 0.319820 loss_vfl: 1.481637 loss_bbox: 0.738074 loss_dfl: 0.523075 loss: 2.740925 eta: 1 day, 7:56:09 batch_cost: 0.8686 data_cost: 0.0017 ips: 73.6780 images/s
[03/18 10:34:13] ppdet.engine INFO: Epoch: [5] [100/458] learning_rate: 0.319817 loss_vfl: 1.468295 loss_bbox: 0.733675 loss_dfl: 0.524131 loss: 2.739989 eta: 1 day, 7:54:53 batch_cost: 0.7990 data_cost: 0.0018 ips: 80.1007 images/s
[03/18 10:34:37] ppdet.engine INFO: Epoch: [5] [120/458] learning_rate: 0.319813 loss_vfl: 1.441082 loss_bbox: 0.780166 loss_dfl: 0.540653 loss: 2.729531 eta: 1 day, 7:58:49 batch_cost: 1.0769 data_cost: 0.0080 ips: 59.4313 images/s
[03/18 10:34:56] ppdet.engine INFO: Epoch: [5] [140/458] learning_rate: 0.319809 loss_vfl: 1.455396 loss_bbox: 0.757726 loss_dfl: 0.523850 loss: 2.728636 eta: 1 day, 7:58:12 batch_cost: 0.8356 data_cost: 0.0035 ips: 76.5928 images/s
[03/18 10:35:15] ppdet.engine INFO: Epoch: [5] [160/458] learning_rate: 0.319806 loss_vfl: 1.377345 loss_bbox: 0.713210 loss_dfl: 0.519274 loss: 2.607195 eta: 1 day, 7:57:20 batch_cost: 0.8210 data_cost: 0.0045 ips: 77.9519 images/s
[03/18 10:35:35] ppdet.engine INFO: Epoch: [5] [180/458] learning_rate: 0.319802 loss_vfl: 1.424654 loss_bbox: 0.696369 loss_dfl: 0.494781 loss: 2.580847 eta: 1 day, 7:57:24 batch_cost: 0.8711 data_cost: 0.0080 ips: 73.4712 images/s
[03/18 10:35:54] ppdet.engine INFO: Epoch: [5] [200/458] learning_rate: 0.319799 loss_vfl: 1.531327 loss_bbox: 0.749810 loss_dfl: 0.518350 loss: 2.784211 eta: 1 day, 7:56:52 batch_cost: 0.8387 data_cost: 0.0080 ips: 76.3048 images/s
[03/18 10:36:14] ppdet.engine INFO: Epoch: [5] [220/458] learning_rate: 0.319795 loss_vfl: 1.468681 loss_bbox: 0.740404 loss_dfl: 0.520163 loss: 2.697632 eta: 1 day, 7:57:24 batch_cost: 0.8983 data_cost: 0.0040 ips: 71.2448 images/s
[03/18 10:36:31] ppdet.engine INFO: Epoch: [5] [240/458] learning_rate: 0.319791 loss_vfl: 1.488528 loss_bbox: 0.739925 loss_dfl: 0.513767 loss: 2.734653 eta: 1 day, 7:55:23 batch_cost: 0.7559 data_cost: 0.0075 ips: 84.6720 images/s
[03/18 10:36:44] ppdet.engine INFO: Epoch: [5] [260/458] learning_rate: 0.319787 loss_vfl: 1.508807 loss_bbox: 0.727983 loss_dfl: 0.522633 loss: 2.783604 eta: 1 day, 7:49:41 batch_cost: 0.5443 data_cost: 0.0035 ips: 117.5899 images/s
[03/18 10:37:01] ppdet.engine INFO: Epoch: [5] [280/458] learning_rate: 0.319784 loss_vfl: 1.519918 loss_bbox: 0.788676 loss_dfl: 0.553917 loss: 2.873824 eta: 1 day, 7:47:25 batch_cost: 0.7362 data_cost: 0.0051 ips: 86.9350 images/s
[03/18 10:37:20] ppdet.engine INFO: Epoch: [5] [300/458] learning_rate: 0.319780 loss_vfl: 1.498522 loss_bbox: 0.797743 loss_dfl: 0.537401 loss: 2.825335 eta: 1 day, 7:46:57 batch_cost: 0.8387 data_cost: 0.0698 ips: 76.3072 images/s
[03/18 10:37:41] ppdet.engine INFO: Epoch: [5] [320/458] learning_rate: 0.319776 loss_vfl: 1.455979 loss_bbox: 0.707680 loss_dfl: 0.499362 loss: 2.657039 eta: 1 day, 7:48:10 batch_cost: 0.9354 data_cost: 0.2985 ips: 68.4228 images/s
[03/18 10:38:00] ppdet.engine INFO: Epoch: [5] [340/458] learning_rate: 0.319772 loss_vfl: 1.522388 loss_bbox: 0.717147 loss_dfl: 0.523066 loss: 2.783783 eta: 1 day, 7:48:13 batch_cost: 0.8694 data_cost: 0.1423 ips: 73.6113 images/s
[03/18 10:38:18] ppdet.engine INFO: Epoch: [5] [360/458] learning_rate: 0.319768 loss_vfl: 1.454851 loss_bbox: 0.713727 loss_dfl: 0.507074 loss: 2.663036 eta: 1 day, 7:46:25 batch_cost: 0.7599 data_cost: 0.0044 ips: 84.2191 images/s
[03/18 10:38:36] ppdet.engine INFO: Epoch: [5] [380/458] learning_rate: 0.319764 loss_vfl: 1.428675 loss_bbox: 0.717335 loss_dfl: 0.504703 loss: 2.603246 eta: 1 day, 7:45:02 batch_cost: 0.7830 data_cost: 0.0056 ips: 81.7382 images/s
[03/18 10:38:56] ppdet.engine INFO: Epoch: [5] [400/458] learning_rate: 0.319760 loss_vfl: 1.512609 loss_bbox: 0.771323 loss_dfl: 0.534444 loss: 2.827088 eta: 1 day, 7:44:54 batch_cost: 0.8579 data_cost: 0.0054 ips: 74.6035 images/s
[03/18 10:39:15] ppdet.engine INFO: Epoch: [5] [420/458] learning_rate: 0.319756 loss_vfl: 1.470738 loss_bbox: 0.711856 loss_dfl: 0.508762 loss: 2.718745 eta: 1 day, 7:44:41 batch_cost: 0.8525 data_cost: 0.0021 ips: 75.0743 images/s
[03/18 10:39:34] ppdet.engine INFO: Epoch: [5] [440/458] learning_rate: 0.319752 loss_vfl: 1.508739 loss_bbox: 0.772849 loss_dfl: 0.547606 loss: 2.837224 eta: 1 day, 7:43:39 batch_cost: 0.8020 data_cost: 0.0083 ips: 79.7972 images/s
[03/18 10:39:56] ppdet.engine INFO: Epoch: [6] [  0/458] learning_rate: 0.319748 loss_vfl: 1.491522 loss_bbox: 0.739469 loss_dfl: 0.525590 loss: 2.762383 eta: 1 day, 7:46:55 batch_cost: 1.0645 data_cost: 0.2849 ips: 60.1195 images/s
[03/18 10:40:17] ppdet.engine INFO: Epoch: [6] [ 20/458] learning_rate: 0.319744 loss_vfl: 1.473112 loss_bbox: 0.715904 loss_dfl: 0.510192 loss: 2.694551 eta: 1 day, 7:47:30 batch_cost: 0.9030 data_cost: 0.0033 ips: 70.8784 images/s
[03/18 10:40:36] ppdet.engine INFO: Epoch: [6] [ 40/458] learning_rate: 0.319740 loss_vfl: 1.472249 loss_bbox: 0.718373 loss_dfl: 0.518606 loss: 2.718698 eta: 1 day, 7:47:43 batch_cost: 0.8808 data_cost: 0.0027 ips: 72.6600 images/s
[03/18 10:40:55] ppdet.engine INFO: Epoch: [6] [ 60/458] learning_rate: 0.319736 loss_vfl: 1.482034 loss_bbox: 0.726600 loss_dfl: 0.510464 loss: 2.694820 eta: 1 day, 7:47:42 batch_cost: 0.8678 data_cost: 0.0029 ips: 73.7483 images/s
[03/18 10:41:15] ppdet.engine INFO: Epoch: [6] [ 80/458] learning_rate: 0.319732 loss_vfl: 1.439427 loss_bbox: 0.688964 loss_dfl: 0.498101 loss: 2.636101 eta: 1 day, 7:47:58 batch_cost: 0.8846 data_cost: 0.0042 ips: 72.3473 images/s
[03/18 10:41:35] ppdet.engine INFO: Epoch: [6] [100/458] learning_rate: 0.319727 loss_vfl: 1.509731 loss_bbox: 0.765997 loss_dfl: 0.551461 loss: 2.856751 eta: 1 day, 7:48:54 batch_cost: 0.9285 data_cost: 0.0009 ips: 68.9287 images/s
[03/18 10:41:54] ppdet.engine INFO: Epoch: [6] [120/458] learning_rate: 0.319723 loss_vfl: 1.479818 loss_bbox: 0.737055 loss_dfl: 0.506685 loss: 2.714975 eta: 1 day, 7:47:38 batch_cost: 0.7877 data_cost: 0.0052 ips: 81.2534 images/s
[03/18 10:42:16] ppdet.engine INFO: Epoch: [6] [140/458] learning_rate: 0.319719 loss_vfl: 1.589937 loss_bbox: 0.753696 loss_dfl: 0.554332 loss: 2.926583 eta: 1 day, 7:49:38 batch_cost: 0.9980 data_cost: 0.0033 ips: 64.1293 images/s
[03/18 10:42:33] ppdet.engine INFO: Epoch: [6] [160/458] learning_rate: 0.319714 loss_vfl: 1.548894 loss_bbox: 0.776296 loss_dfl: 0.550059 loss: 2.875150 eta: 1 day, 7:48:29 batch_cost: 0.7963 data_cost: 0.0032 ips: 80.3759 images/s
[03/18 10:42:50] ppdet.engine INFO: Epoch: [6] [180/458] learning_rate: 0.319710 loss_vfl: 1.414605 loss_bbox: 0.725747 loss_dfl: 0.500634 loss: 2.642736 eta: 1 day, 7:46:34 batch_cost: 0.7438 data_cost: 0.0059 ips: 86.0415 images/s
[03/18 10:43:14] ppdet.engine INFO: Epoch: [6] [200/458] learning_rate: 0.319706 loss_vfl: 1.474704 loss_bbox: 0.736634 loss_dfl: 0.521126 loss: 2.764577 eta: 1 day, 7:48:54 batch_cost: 1.0228 data_cost: 0.0014 ips: 62.5721 images/s
[03/18 10:43:33] ppdet.engine INFO: Epoch: [6] [220/458] learning_rate: 0.319701 loss_vfl: 1.491172 loss_bbox: 0.714133 loss_dfl: 0.510727 loss: 2.673385 eta: 1 day, 7:48:54 batch_cost: 0.8714 data_cost: 0.0069 ips: 73.4452 images/s
[03/18 10:43:50] ppdet.engine INFO: Epoch: [6] [240/458] learning_rate: 0.319697 loss_vfl: 1.480847 loss_bbox: 0.734066 loss_dfl: 0.519969 loss: 2.712370 eta: 1 day, 7:47:46 batch_cost: 0.7953 data_cost: 0.0026 ips: 80.4724 images/s
[03/18 10:44:05] ppdet.engine INFO: Epoch: [6] [260/458] learning_rate: 0.319692 loss_vfl: 1.421200 loss_bbox: 0.734225 loss_dfl: 0.519369 loss: 2.659468 eta: 1 day, 7:44:40 batch_cost: 0.6625 data_cost: 0.0060 ips: 96.6085 images/s
[03/18 10:44:21] ppdet.engine INFO: Epoch: [6] [280/458] learning_rate: 0.319687 loss_vfl: 1.516235 loss_bbox: 0.761533 loss_dfl: 0.541266 loss: 2.804140 eta: 1 day, 7:42:10 batch_cost: 0.7007 data_cost: 0.0102 ips: 91.3415 images/s
[03/18 10:44:38] ppdet.engine INFO: Epoch: [6] [300/458] learning_rate: 0.319683 loss_vfl: 1.476014 loss_bbox: 0.770950 loss_dfl: 0.540531 loss: 2.792073 eta: 1 day, 7:40:28 batch_cost: 0.7523 data_cost: 0.0059 ips: 85.0695 images/s
[03/18 10:45:00] ppdet.engine INFO: Epoch: [6] [320/458] learning_rate: 0.319678 loss_vfl: 1.465727 loss_bbox: 0.784382 loss_dfl: 0.536795 loss: 2.759682 eta: 1 day, 7:41:17 batch_cost: 0.9237 data_cost: 0.0011 ips: 69.2846 images/s
[03/18 10:45:19] ppdet.engine INFO: Epoch: [6] [340/458] learning_rate: 0.319674 loss_vfl: 1.445573 loss_bbox: 0.726600 loss_dfl: 0.515506 loss: 2.731323 eta: 1 day, 7:41:16 batch_cost: 0.8675 data_cost: 0.0042 ips: 73.7731 images/s
[03/18 10:45:38] ppdet.engine INFO: Epoch: [6] [360/458] learning_rate: 0.319669 loss_vfl: 1.493837 loss_bbox: 0.738055 loss_dfl: 0.520403 loss: 2.766845 eta: 1 day, 7:41:18 batch_cost: 0.8722 data_cost: 0.0058 ips: 73.3754 images/s
[03/18 10:45:58] ppdet.engine INFO: Epoch: [6] [380/458] learning_rate: 0.319664 loss_vfl: 1.483548 loss_bbox: 0.750898 loss_dfl: 0.508321 loss: 2.712428 eta: 1 day, 7:42:07 batch_cost: 0.9263 data_cost: 0.0050 ips: 69.0950 images/s
[03/18 10:46:17] ppdet.engine INFO: Epoch: [6] [400/458] learning_rate: 0.319659 loss_vfl: 1.471096 loss_bbox: 0.728232 loss_dfl: 0.513036 loss: 2.689811 eta: 1 day, 7:41:21 batch_cost: 0.8156 data_cost: 0.0087 ips: 78.4674 images/s
[03/18 10:46:36] ppdet.engine INFO: Epoch: [6] [420/458] learning_rate: 0.319655 loss_vfl: 1.449174 loss_bbox: 0.752663 loss_dfl: 0.527731 loss: 2.748842 eta: 1 day, 7:40:20 batch_cost: 0.7980 data_cost: 0.0074 ips: 80.2031 images/s
[03/18 10:46:55] ppdet.engine INFO: Epoch: [6] [440/458] learning_rate: 0.319650 loss_vfl: 1.358363 loss_bbox: 0.716163 loss_dfl: 0.499187 loss: 2.566730 eta: 1 day, 7:39:14 batch_cost: 0.7908 data_cost: 0.0082 ips: 80.9315 images/s
[03/18 10:47:17] ppdet.engine INFO: Epoch: [7] [  0/458] learning_rate: 0.319645 loss_vfl: 1.439311 loss_bbox: 0.728590 loss_dfl: 0.515083 loss: 2.678283 eta: 1 day, 7:41:54 batch_cost: 1.0363 data_cost: 0.4203 ips: 61.7584 images/s
[03/18 10:47:33] ppdet.engine INFO: Epoch: [7] [ 20/458] learning_rate: 0.319640 loss_vfl: 1.514745 loss_bbox: 0.766025 loss_dfl: 0.546005 loss: 2.826775 eta: 1 day, 7:39:33 batch_cost: 0.7010 data_cost: 0.0052 ips: 91.3040 images/s
[03/18 10:47:51] ppdet.engine INFO: Epoch: [7] [ 40/458] learning_rate: 0.319636 loss_vfl: 1.545516 loss_bbox: 0.775967 loss_dfl: 0.556711 loss: 2.879118 eta: 1 day, 7:38:29 batch_cost: 0.7931 data_cost: 0.0948 ips: 80.6980 images/s
[03/18 10:48:12] ppdet.engine INFO: Epoch: [7] [ 60/458] learning_rate: 0.319631 loss_vfl: 1.497827 loss_bbox: 0.748776 loss_dfl: 0.536144 loss: 2.796553 eta: 1 day, 7:39:44 batch_cost: 0.9615 data_cost: 0.1984 ips: 66.5644 images/s
[03/18 10:48:30] ppdet.engine INFO: Epoch: [7] [ 80/458] learning_rate: 0.319626 loss_vfl: 1.471082 loss_bbox: 0.726208 loss_dfl: 0.528113 loss: 2.738390 eta: 1 day, 7:37:50 batch_cost: 0.7299 data_cost: 0.0067 ips: 87.6833 images/s
[03/18 10:48:50] ppdet.engine INFO: Epoch: [7] [100/458] learning_rate: 0.319621 loss_vfl: 1.431179 loss_bbox: 0.688948 loss_dfl: 0.491818 loss: 2.574388 eta: 1 day, 7:37:32 batch_cost: 0.8481 data_cost: 0.0254 ips: 75.4598 images/s
[03/18 10:49:09] ppdet.engine INFO: Epoch: [7] [120/458] learning_rate: 0.319616 loss_vfl: 1.424517 loss_bbox: 0.704340 loss_dfl: 0.498555 loss: 2.593683 eta: 1 day, 7:37:41 batch_cost: 0.8810 data_cost: 0.0052 ips: 72.6478 images/s
[03/18 10:49:29] ppdet.engine INFO: Epoch: [7] [140/458] learning_rate: 0.319610 loss_vfl: 1.444393 loss_bbox: 0.709393 loss_dfl: 0.501491 loss: 2.634116 eta: 1 day, 7:37:21 batch_cost: 0.8454 data_cost: 0.0005 ips: 75.7068 images/s
[03/18 10:49:50] ppdet.engine INFO: Epoch: [7] [160/458] learning_rate: 0.319605 loss_vfl: 1.506141 loss_bbox: 0.731904 loss_dfl: 0.523931 loss: 2.734052 eta: 1 day, 7:38:31 batch_cost: 0.9592 data_cost: 0.2111 ips: 66.7227 images/s
[03/18 10:50:08] ppdet.engine INFO: Epoch: [7] [180/458] learning_rate: 0.319600 loss_vfl: 1.429524 loss_bbox: 0.709230 loss_dfl: 0.508641 loss: 2.669577 eta: 1 day, 7:36:16 batch_cost: 0.7006 data_cost: 0.0053 ips: 91.3474 images/s
[03/18 10:50:28] ppdet.engine INFO: Epoch: [7] [200/458] learning_rate: 0.319595 loss_vfl: 1.495109 loss_bbox: 0.723527 loss_dfl: 0.529143 loss: 2.781664 eta: 1 day, 7:36:33 batch_cost: 0.8920 data_cost: 0.0089 ips: 71.7504 images/s
[03/18 10:50:45] ppdet.engine INFO: Epoch: [7] [220/458] learning_rate: 0.319590 loss_vfl: 1.403277 loss_bbox: 0.703720 loss_dfl: 0.499839 loss: 2.593266 eta: 1 day, 7:33:57 batch_cost: 0.6721 data_cost: 0.0044 ips: 95.2282 images/s
[03/18 10:51:04] ppdet.engine INFO: Epoch: [7] [240/458] learning_rate: 0.319584 loss_vfl: 1.406697 loss_bbox: 0.697847 loss_dfl: 0.490836 loss: 2.618558 eta: 1 day, 7:33:17 batch_cost: 0.8182 data_cost: 0.0386 ips: 78.2193 images/s
[03/18 10:51:21] ppdet.engine INFO: Epoch: [7] [260/458] learning_rate: 0.319579 loss_vfl: 1.366481 loss_bbox: 0.692513 loss_dfl: 0.481018 loss: 2.528357 eta: 1 day, 7:31:12 batch_cost: 0.7079 data_cost: 0.0210 ips: 90.4139 images/s
[03/18 10:51:37] ppdet.engine INFO: Epoch: [7] [280/458] learning_rate: 0.319574 loss_vfl: 1.500367 loss_bbox: 0.737879 loss_dfl: 0.521468 loss: 2.724901 eta: 1 day, 7:28:42 batch_cost: 0.6747 data_cost: 0.0042 ips: 94.8600 images/s
[03/18 10:51:53] ppdet.engine INFO: Epoch: [7] [300/458] learning_rate: 0.319568 loss_vfl: 1.434392 loss_bbox: 0.707357 loss_dfl: 0.508353 loss: 2.625609 eta: 1 day, 7:26:11 batch_cost: 0.6704 data_cost: 0.0029 ips: 95.4658 images/s
[03/18 10:52:10] ppdet.engine INFO: Epoch: [7] [320/458] learning_rate: 0.319563 loss_vfl: 1.471992 loss_bbox: 0.730893 loss_dfl: 0.516077 loss: 2.695777 eta: 1 day, 7:24:35 batch_cost: 0.7407 data_cost: 0.0653 ips: 86.4042 images/s
[03/18 10:52:28] ppdet.engine INFO: Epoch: [7] [340/458] learning_rate: 0.319558 loss_vfl: 1.441551 loss_bbox: 0.736231 loss_dfl: 0.519646 loss: 2.703941 eta: 1 day, 7:23:56 batch_cost: 0.8156 data_cost: 0.1005 ips: 78.4720 images/s
[03/18 10:52:45] ppdet.engine INFO: Epoch: [7] [360/458] learning_rate: 0.319552 loss_vfl: 1.393872 loss_bbox: 0.696176 loss_dfl: 0.504871 loss: 2.620044 eta: 1 day, 7:22:17 batch_cost: 0.7351 data_cost: 0.1235 ips: 87.0660 images/s
[03/18 10:53:06] ppdet.engine INFO: Epoch: [7] [380/458] learning_rate: 0.319547 loss_vfl: 1.432735 loss_bbox: 0.695530 loss_dfl: 0.509145 loss: 2.652540 eta: 1 day, 7:23:12 batch_cost: 0.9396 data_cost: 0.2215 ips: 68.1129 images/s
[03/18 10:53:26] ppdet.engine INFO: Epoch: [7] [400/458] learning_rate: 0.319541 loss_vfl: 1.475282 loss_bbox: 0.727073 loss_dfl: 0.526052 loss: 2.729720 eta: 1 day, 7:24:06 batch_cost: 0.9399 data_cost: 0.1879 ips: 68.0913 images/s
[03/18 10:53:44] ppdet.engine INFO: Epoch: [7] [420/458] learning_rate: 0.319536 loss_vfl: 1.466589 loss_bbox: 0.752501 loss_dfl: 0.530420 loss: 2.752949 eta: 1 day, 7:23:07 batch_cost: 0.7887 data_cost: 0.2044 ips: 81.1469 images/s
[03/18 10:54:04] ppdet.engine INFO: Epoch: [7] [440/458] learning_rate: 0.319530 loss_vfl: 1.535313 loss_bbox: 0.758392 loss_dfl: 0.536920 loss: 2.826593 eta: 1 day, 7:23:00 batch_cost: 0.8576 data_cost: 0.2131 ips: 74.6264 images/s
[03/18 10:54:26] ppdet.engine INFO: Epoch: [8] [  0/458] learning_rate: 0.319525 loss_vfl: 1.429319 loss_bbox: 0.732496 loss_dfl: 0.527126 loss: 2.722656 eta: 1 day, 7:25:31 batch_cost: 1.0426 data_cost: 0.4658 ips: 61.3823 images/s
[03/18 10:54:48] ppdet.engine INFO: Epoch: [8] [ 20/458] learning_rate: 0.319519 loss_vfl: 1.409132 loss_bbox: 0.706764 loss_dfl: 0.507399 loss: 2.606250 eta: 1 day, 7:27:34 batch_cost: 1.0385 data_cost: 0.0013 ips: 61.6300 images/s
[03/18 10:55:06] ppdet.engine INFO: Epoch: [8] [ 40/458] learning_rate: 0.319514 loss_vfl: 1.448452 loss_bbox: 0.727790 loss_dfl: 0.515613 loss: 2.715278 eta: 1 day, 7:26:14 batch_cost: 0.7595 data_cost: 0.0040 ips: 84.2674 images/s
[03/18 10:55:27] ppdet.engine INFO: Epoch: [8] [ 60/458] learning_rate: 0.319508 loss_vfl: 1.480094 loss_bbox: 0.737172 loss_dfl: 0.527013 loss: 2.734327 eta: 1 day, 7:27:08 batch_cost: 0.9460 data_cost: 0.0021 ips: 67.6505 images/s
[03/18 10:55:47] ppdet.engine INFO: Epoch: [8] [ 80/458] learning_rate: 0.319502 loss_vfl: 1.428337 loss_bbox: 0.713586 loss_dfl: 0.507162 loss: 2.622389 eta: 1 day, 7:27:34 batch_cost: 0.9063 data_cost: 0.0016 ips: 70.6132 images/s
[03/18 10:56:06] ppdet.engine INFO: Epoch: [8] [100/458] learning_rate: 0.319496 loss_vfl: 1.370819 loss_bbox: 0.712852 loss_dfl: 0.510710 loss: 2.583143 eta: 1 day, 7:27:45 batch_cost: 0.8879 data_cost: 0.0005 ips: 72.0780 images/s
[03/18 10:56:29] ppdet.engine INFO: Epoch: [8] [120/458] learning_rate: 0.319490 loss_vfl: 1.417866 loss_bbox: 0.713871 loss_dfl: 0.510986 loss: 2.680720 eta: 1 day, 7:29:56 batch_cost: 1.0568 data_cost: 0.0058 ips: 60.5574 images/s
[03/18 10:56:48] ppdet.engine INFO: Epoch: [8] [140/458] learning_rate: 0.319485 loss_vfl: 1.443889 loss_bbox: 0.735532 loss_dfl: 0.512350 loss: 2.707480 eta: 1 day, 7:29:50 batch_cost: 0.8634 data_cost: 0.0010 ips: 74.1223 images/s
[03/18 10:57:08] ppdet.engine INFO: Epoch: [8] [160/458] learning_rate: 0.319479 loss_vfl: 1.428296 loss_bbox: 0.768328 loss_dfl: 0.529109 loss: 2.720880 eta: 1 day, 7:30:41 batch_cost: 0.9459 data_cost: 0.0021 ips: 67.6606 images/s
[03/18 10:57:29] ppdet.engine INFO: Epoch: [8] [180/458] learning_rate: 0.319473 loss_vfl: 1.383254 loss_bbox: 0.656128 loss_dfl: 0.478445 loss: 2.512671 eta: 1 day, 7:31:49 batch_cost: 0.9719 data_cost: 0.0040 ips: 65.8514 images/s
[03/18 10:57:51] ppdet.engine INFO: Epoch: [8] [200/458] learning_rate: 0.319467 loss_vfl: 1.371606 loss_bbox: 0.719052 loss_dfl: 0.514383 loss: 2.626441 eta: 1 day, 7:32:45 batch_cost: 0.9555 data_cost: 0.0029 ips: 66.9780 images/s
[03/18 10:58:10] ppdet.engine INFO: Epoch: [8] [220/458] learning_rate: 0.319461 loss_vfl: 1.515539 loss_bbox: 0.763816 loss_dfl: 0.550660 loss: 2.811110 eta: 1 day, 7:32:35 batch_cost: 0.8609 data_cost: 0.0012 ips: 74.3416 images/s
[03/18 10:58:31] ppdet.engine INFO: Epoch: [8] [240/458] learning_rate: 0.319455 loss_vfl: 1.405349 loss_bbox: 0.709734 loss_dfl: 0.502927 loss: 2.559803 eta: 1 day, 7:33:30 batch_cost: 0.9566 data_cost: 0.0064 ips: 66.9065 images/s
[03/18 10:58:47] ppdet.engine INFO: Epoch: [8] [260/458] learning_rate: 0.319449 loss_vfl: 1.433460 loss_bbox: 0.727948 loss_dfl: 0.508959 loss: 2.666602 eta: 1 day, 7:31:41 batch_cost: 0.7154 data_cost: 0.0012 ips: 89.4601 images/s
[03/18 10:59:02] ppdet.engine INFO: Epoch: [8] [280/458] learning_rate: 0.319443 loss_vfl: 1.472748 loss_bbox: 0.761709 loss_dfl: 0.540080 loss: 2.741601 eta: 1 day, 7:29:47 batch_cost: 0.7069 data_cost: 0.0006 ips: 90.5387 images/s
[03/18 10:59:20] ppdet.engine INFO: Epoch: [8] [300/458] learning_rate: 0.319436 loss_vfl: 1.434213 loss_bbox: 0.706186 loss_dfl: 0.502628 loss: 2.658361 eta: 1 day, 7:29:08 batch_cost: 0.8163 data_cost: 0.0077 ips: 78.4025 images/s
[03/18 10:59:42] ppdet.engine INFO: Epoch: [8] [320/458] learning_rate: 0.319430 loss_vfl: 1.342778 loss_bbox: 0.645355 loss_dfl: 0.471069 loss: 2.531299 eta: 1 day, 7:30:53 batch_cost: 1.0318 data_cost: 0.0028 ips: 62.0250 images/s
[03/18 11:00:03] ppdet.engine INFO: Epoch: [8] [340/458] learning_rate: 0.319424 loss_vfl: 1.398518 loss_bbox: 0.738811 loss_dfl: 0.526370 loss: 2.677011 eta: 1 day, 7:31:28 batch_cost: 0.9291 data_cost: 0.0021 ips: 68.8873 images/s
[03/18 11:00:22] ppdet.engine INFO: Epoch: [8] [360/458] learning_rate: 0.319418 loss_vfl: 1.410978 loss_bbox: 0.703769 loss_dfl: 0.497876 loss: 2.592990 eta: 1 day, 7:30:51 batch_cost: 0.8202 data_cost: 0.0033 ips: 78.0255 images/s
[03/18 11:00:44] ppdet.engine INFO: Epoch: [8] [380/458] learning_rate: 0.319412 loss_vfl: 1.451723 loss_bbox: 0.723264 loss_dfl: 0.510023 loss: 2.677735 eta: 1 day, 7:32:15 batch_cost: 1.0033 data_cost: 0.0023 ips: 63.7864 images/s
[03/18 11:01:03] ppdet.engine INFO: Epoch: [8] [400/458] learning_rate: 0.319405 loss_vfl: 1.385577 loss_bbox: 0.739838 loss_dfl: 0.518064 loss: 2.558987 eta: 1 day, 7:32:22 batch_cost: 0.8886 data_cost: 0.0003 ips: 72.0270 images/s
[03/18 11:01:22] ppdet.engine INFO: Epoch: [8] [420/458] learning_rate: 0.319399 loss_vfl: 1.423597 loss_bbox: 0.712113 loss_dfl: 0.509649 loss: 2.681559 eta: 1 day, 7:32:01 batch_cost: 0.8449 data_cost: 0.0027 ips: 75.7500 images/s
[03/18 11:01:43] ppdet.engine INFO: Epoch: [8] [440/458] learning_rate: 0.319393 loss_vfl: 1.452200 loss_bbox: 0.723271 loss_dfl: 0.518065 loss: 2.698307 eta: 1 day, 7:32:38 batch_cost: 0.9357 data_cost: 0.0016 ips: 68.3954 images/s
[03/18 11:02:05] ppdet.engine INFO: Epoch: [9] [  0/458] learning_rate: 0.319387 loss_vfl: 1.451225 loss_bbox: 0.725847 loss_dfl: 0.510108 loss: 2.667658 eta: 1 day, 7:35:01 batch_cost: 1.1651 data_cost: 0.2322 ips: 54.9320 images/s
[03/18 11:02:27] ppdet.engine INFO: Epoch: [9] [ 20/458] learning_rate: 0.319380 loss_vfl: 1.409355 loss_bbox: 0.716170 loss_dfl: 0.507393 loss: 2.608167 eta: 1 day, 7:36:03 batch_cost: 0.9759 data_cost: 0.0031 ips: 65.5801 images/s
[03/18 11:02:44] ppdet.engine INFO: Epoch: [9] [ 40/458] learning_rate: 0.319374 loss_vfl: 1.435533 loss_bbox: 0.682722 loss_dfl: 0.510207 loss: 2.632403 eta: 1 day, 7:34:49 batch_cost: 0.7657 data_cost: 0.0075 ips: 83.5865 images/s
[03/18 11:03:05] ppdet.engine INFO: Epoch: [9] [ 60/458] learning_rate: 0.319367 loss_vfl: 1.464988 loss_bbox: 0.738200 loss_dfl: 0.543024 loss: 2.787297 eta: 1 day, 7:35:31 batch_cost: 0.9456 data_cost: 0.0035 ips: 67.6854 images/s
[03/18 11:03:24] ppdet.engine INFO: Epoch: [9] [ 80/458] learning_rate: 0.319361 loss_vfl: 1.449939 loss_bbox: 0.726266 loss_dfl: 0.517690 loss: 2.675241 eta: 1 day, 7:35:12 batch_cost: 0.8504 data_cost: 0.0008 ips: 75.2594 images/s
[03/18 11:03:47] ppdet.engine INFO: Epoch: [9] [100/458] learning_rate: 0.319354 loss_vfl: 1.402409 loss_bbox: 0.709405 loss_dfl: 0.507777 loss: 2.651425 eta: 1 day, 7:36:58 batch_cost: 1.0485 data_cost: 0.0012 ips: 61.0395 images/s
[03/18 11:04:05] ppdet.engine INFO: Epoch: [9] [120/458] learning_rate: 0.319348 loss_vfl: 1.420539 loss_bbox: 0.686694 loss_dfl: 0.503789 loss: 2.638255 eta: 1 day, 7:36:00 batch_cost: 0.7898 data_cost: 0.0032 ips: 81.0325 images/s
[03/18 11:04:22] ppdet.engine INFO: Epoch: [9] [140/458] learning_rate: 0.319341 loss_vfl: 1.426814 loss_bbox: 0.706375 loss_dfl: 0.501612 loss: 2.666494 eta: 1 day, 7:34:39 batch_cost: 0.7520 data_cost: 0.0026 ips: 85.1100 images/s
[03/18 11:04:42] ppdet.engine INFO: Epoch: [9] [160/458] learning_rate: 0.319334 loss_vfl: 1.409430 loss_bbox: 0.703829 loss_dfl: 0.508576 loss: 2.624617 eta: 1 day, 7:34:55 batch_cost: 0.9077 data_cost: 0.0009 ips: 70.5115 images/s
[03/18 11:05:03] ppdet.engine INFO: Epoch: [9] [180/458] learning_rate: 0.319328 loss_vfl: 1.414876 loss_bbox: 0.677676 loss_dfl: 0.485572 loss: 2.526317 eta: 1 day, 7:35:10 batch_cost: 0.9052 data_cost: 0.0028 ips: 70.7025 images/s
[03/18 11:05:20] ppdet.engine INFO: Epoch: [9] [200/458] learning_rate: 0.319321 loss_vfl: 1.386817 loss_bbox: 0.647864 loss_dfl: 0.478599 loss: 2.516719 eta: 1 day, 7:33:30 batch_cost: 0.7204 data_cost: 0.0044 ips: 88.8372 images/s
[03/18 11:05:40] ppdet.engine INFO: Epoch: [9] [220/458] learning_rate: 0.319314 loss_vfl: 1.361825 loss_bbox: 0.738936 loss_dfl: 0.520076 loss: 2.596860 eta: 1 day, 7:33:45 batch_cost: 0.9059 data_cost: 0.0034 ips: 70.6510 images/s
[03/18 11:05:56] ppdet.engine INFO: Epoch: [9] [240/458] learning_rate: 0.319307 loss_vfl: 1.423537 loss_bbox: 0.701803 loss_dfl: 0.512347 loss: 2.636758 eta: 1 day, 7:32:14 batch_cost: 0.7327 data_cost: 0.0010 ips: 87.3446 images/s
[03/18 11:06:14] ppdet.engine INFO: Epoch: [9] [260/458] learning_rate: 0.319301 loss_vfl: 1.414160 loss_bbox: 0.707440 loss_dfl: 0.517805 loss: 2.620196 eta: 1 day, 7:31:24 batch_cost: 0.7989 data_cost: 0.0029 ips: 80.1129 images/s
[03/18 11:06:29] ppdet.engine INFO: Epoch: [9] [280/458] learning_rate: 0.319294 loss_vfl: 1.444515 loss_bbox: 0.742315 loss_dfl: 0.538283 loss: 2.766723 eta: 1 day, 7:29:28 batch_cost: 0.6890 data_cost: 0.0019 ips: 92.8826 images/s
[03/18 11:06:48] ppdet.engine INFO: Epoch: [9] [300/458] learning_rate: 0.319287 loss_vfl: 1.419057 loss_bbox: 0.717376 loss_dfl: 0.518521 loss: 2.661835 eta: 1 day, 7:28:53 batch_cost: 0.8226 data_cost: 0.0019 ips: 77.8019 images/s
[03/18 11:07:08] ppdet.engine INFO: Epoch: [9] [320/458] learning_rate: 0.319280 loss_vfl: 1.446936 loss_bbox: 0.709314 loss_dfl: 0.522589 loss: 2.665459 eta: 1 day, 7:29:38 batch_cost: 0.9563 data_cost: 0.0041 ips: 66.9217 images/s
[03/18 11:07:26] ppdet.engine INFO: Epoch: [9] [340/458] learning_rate: 0.319273 loss_vfl: 1.485030 loss_bbox: 0.732071 loss_dfl: 0.522962 loss: 2.750796 eta: 1 day, 7:28:42 batch_cost: 0.7868 data_cost: 0.0052 ips: 81.3407 images/s
[03/18 11:07:46] ppdet.engine INFO: Epoch: [9] [360/458] learning_rate: 0.319266 loss_vfl: 1.374108 loss_bbox: 0.699252 loss_dfl: 0.507251 loss: 2.565894 eta: 1 day, 7:28:45 batch_cost: 0.8874 data_cost: 0.0019 ips: 72.1242 images/s
[03/18 11:08:05] ppdet.engine INFO: Epoch: [9] [380/458] learning_rate: 0.319259 loss_vfl: 1.383550 loss_bbox: 0.711762 loss_dfl: 0.510232 loss: 2.612373 eta: 1 day, 7:28:48 batch_cost: 0.8870 data_cost: 0.0059 ips: 72.1551 images/s
[03/18 11:08:25] ppdet.engine INFO: Epoch: [9] [400/458] learning_rate: 0.319252 loss_vfl: 1.543540 loss_bbox: 0.763162 loss_dfl: 0.538509 loss: 2.824267 eta: 1 day, 7:28:51 batch_cost: 0.8856 data_cost: 0.0014 ips: 72.2654 images/s
[03/18 11:08:43] ppdet.engine INFO: Epoch: [9] [420/458] learning_rate: 0.319245 loss_vfl: 1.452013 loss_bbox: 0.714574 loss_dfl: 0.513382 loss: 2.658071 eta: 1 day, 7:27:28 batch_cost: 0.7407 data_cost: 0.0045 ips: 86.4016 images/s
[03/18 11:09:04] ppdet.engine INFO: Epoch: [9] [440/458] learning_rate: 0.319238 loss_vfl: 1.394711 loss_bbox: 0.695779 loss_dfl: 0.500785 loss: 2.589178 eta: 1 day, 7:28:23 batch_cost: 0.9759 data_cost: 0.0046 ips: 65.5819 images/s
[03/18 11:09:17] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
loading annotations into memory...
Done (t=1.03s)
creating index...
index created!
loading annotations into memory...
Done (t=1.90s)
creating index...
index created!
[03/18 11:09:24] ppdet.engine INFO: Eval iter: 0
[03/18 11:09:42] ppdet.engine INFO: Eval iter: 100
[03/18 11:09:55] ppdet.engine INFO: Eval iter: 200
[03/18 11:10:08] ppdet.engine INFO: Eval iter: 300
[03/18 11:10:21] ppdet.engine INFO: Eval iter: 400
[03/18 11:10:35] ppdet.engine INFO: Eval iter: 500
[03/18 11:10:48] ppdet.engine INFO: Eval iter: 600
[03/18 11:11:02] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.63s)
creating index...
index created!
[03/18 11:11:03] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.23s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=74.20s).
Accumulating evaluation results...
DONE (t=16.38s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.115
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.195
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.118
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.028
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.101
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.202
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.161
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.268
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.281
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.054
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.282
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.500
[03/18 11:12:40] ppdet.engine INFO: Total sample number: 4952, averge FPS: 56.5420798846071
[03/18 11:12:40] ppdet.engine INFO: Best test bbox ap is 0.115.
[03/18 11:12:40] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 11:12:40] ppdet.engine INFO: Epoch: [10] [  0/458] learning_rate: 0.319231 loss_vfl: 1.491797 loss_bbox: 0.733184 loss_dfl: 0.535347 loss: 2.791203 eta: 1 day, 7:25:43 batch_cost: 0.6042 data_cost: 0.0028 ips: 105.9255 images/s
[03/18 11:12:53] ppdet.engine INFO: Epoch: [10] [ 20/458] learning_rate: 0.319224 loss_vfl: 1.459060 loss_bbox: 0.729715 loss_dfl: 0.522620 loss: 2.716517 eta: 1 day, 7:22:21 batch_cost: 0.5310 data_cost: 0.0004 ips: 120.5275 images/s
[03/18 11:13:09] ppdet.engine INFO: Epoch: [10] [ 40/458] learning_rate: 0.319217 loss_vfl: 1.482501 loss_bbox: 0.735577 loss_dfl: 0.528725 loss: 2.755238 eta: 1 day, 7:20:32 batch_cost: 0.6900 data_cost: 0.0062 ips: 92.7484 images/s
[03/18 11:13:27] ppdet.engine INFO: Epoch: [10] [ 60/458] learning_rate: 0.319209 loss_vfl: 1.418275 loss_bbox: 0.709146 loss_dfl: 0.502525 loss: 2.640277 eta: 1 day, 7:19:08 batch_cost: 0.7324 data_cost: 0.0074 ips: 87.3886 images/s
[03/18 11:13:47] ppdet.engine INFO: Epoch: [10] [ 80/458] learning_rate: 0.319202 loss_vfl: 1.384542 loss_bbox: 0.688561 loss_dfl: 0.487000 loss: 2.554976 eta: 1 day, 7:19:10 batch_cost: 0.8833 data_cost: 0.0086 ips: 72.4521 images/s
[03/18 11:14:06] ppdet.engine INFO: Epoch: [10] [100/458] learning_rate: 0.319195 loss_vfl: 1.405892 loss_bbox: 0.692966 loss_dfl: 0.495269 loss: 2.619956 eta: 1 day, 7:18:56 batch_cost: 0.8547 data_cost: 0.0057 ips: 74.8800 images/s
[03/18 11:14:26] ppdet.engine INFO: Epoch: [10] [120/458] learning_rate: 0.319187 loss_vfl: 1.477134 loss_bbox: 0.714707 loss_dfl: 0.529359 loss: 2.703432 eta: 1 day, 7:18:41 batch_cost: 0.8516 data_cost: 0.0017 ips: 75.1505 images/s
[03/18 11:14:45] ppdet.engine INFO: Epoch: [10] [140/458] learning_rate: 0.319180 loss_vfl: 1.392074 loss_bbox: 0.709012 loss_dfl: 0.520895 loss: 2.681415 eta: 1 day, 7:18:18 batch_cost: 0.8396 data_cost: 0.0036 ips: 76.2265 images/s
[03/18 11:15:05] ppdet.engine INFO: Epoch: [10] [160/458] learning_rate: 0.319173 loss_vfl: 1.320833 loss_bbox: 0.648052 loss_dfl: 0.458977 loss: 2.417989 eta: 1 day, 7:18:13 batch_cost: 0.8707 data_cost: 0.0104 ips: 73.5006 images/s
[03/18 11:15:24] ppdet.engine INFO: Epoch: [10] [180/458] learning_rate: 0.319165 loss_vfl: 1.415703 loss_bbox: 0.714268 loss_dfl: 0.514295 loss: 2.657687 eta: 1 day, 7:17:49 batch_cost: 0.8377 data_cost: 0.0116 ips: 76.3967 images/s
[03/18 11:15:42] ppdet.engine INFO: Epoch: [10] [200/458] learning_rate: 0.319158 loss_vfl: 1.396018 loss_bbox: 0.721813 loss_dfl: 0.515132 loss: 2.675527 eta: 1 day, 7:16:35 batch_cost: 0.7458 data_cost: 0.0046 ips: 85.8100 images/s
[03/18 11:16:02] ppdet.engine INFO: Epoch: [10] [220/458] learning_rate: 0.319150 loss_vfl: 1.393306 loss_bbox: 0.676838 loss_dfl: 0.500294 loss: 2.554677 eta: 1 day, 7:16:31 batch_cost: 0.8725 data_cost: 0.0043 ips: 73.3499 images/s
[03/18 11:16:21] ppdet.engine INFO: Epoch: [10] [240/458] learning_rate: 0.319143 loss_vfl: 1.458631 loss_bbox: 0.757845 loss_dfl: 0.537476 loss: 2.740175 eta: 1 day, 7:15:58 batch_cost: 0.8201 data_cost: 0.0132 ips: 78.0410 images/s
[03/18 11:16:39] ppdet.engine INFO: Epoch: [10] [260/458] learning_rate: 0.319135 loss_vfl: 1.415221 loss_bbox: 0.734022 loss_dfl: 0.519284 loss: 2.713241 eta: 1 day, 7:15:00 batch_cost: 0.7749 data_cost: 0.0133 ips: 82.5965 images/s
[03/18 11:17:01] ppdet.engine INFO: Epoch: [10] [280/458] learning_rate: 0.319127 loss_vfl: 1.465809 loss_bbox: 0.729341 loss_dfl: 0.528298 loss: 2.680921 eta: 1 day, 7:14:55 batch_cost: 0.8692 data_cost: 0.0124 ips: 73.6349 images/s
[03/18 11:17:21] ppdet.engine INFO: Epoch: [10] [300/458] learning_rate: 0.319120 loss_vfl: 1.409005 loss_bbox: 0.681688 loss_dfl: 0.507208 loss: 2.599363 eta: 1 day, 7:14:29 batch_cost: 0.8337 data_cost: 0.0058 ips: 76.7670 images/s
[03/18 11:17:40] ppdet.engine INFO: Epoch: [10] [320/458] learning_rate: 0.319112 loss_vfl: 1.445426 loss_bbox: 0.756007 loss_dfl: 0.529874 loss: 2.730086 eta: 1 day, 7:13:30 batch_cost: 0.7697 data_cost: 0.0045 ips: 83.1528 images/s
[03/18 11:18:01] ppdet.engine INFO: Epoch: [10] [340/458] learning_rate: 0.319104 loss_vfl: 1.325234 loss_bbox: 0.674196 loss_dfl: 0.480106 loss: 2.470086 eta: 1 day, 7:13:56 batch_cost: 0.9295 data_cost: 0.0035 ips: 68.8575 images/s
[03/18 11:18:21] ppdet.engine INFO: Epoch: [10] [360/458] learning_rate: 0.319096 loss_vfl: 1.415784 loss_bbox: 0.708033 loss_dfl: 0.529259 loss: 2.649860 eta: 1 day, 7:13:57 batch_cost: 0.8807 data_cost: 0.0145 ips: 72.6667 images/s
[03/18 11:18:41] ppdet.engine INFO: Epoch: [10] [380/458] learning_rate: 0.319089 loss_vfl: 1.375673 loss_bbox: 0.680323 loss_dfl: 0.492206 loss: 2.527082 eta: 1 day, 7:13:44 batch_cost: 0.8578 data_cost: 0.0017 ips: 74.6082 images/s
[03/18 11:19:03] ppdet.engine INFO: Epoch: [10] [400/458] learning_rate: 0.319081 loss_vfl: 1.388726 loss_bbox: 0.720326 loss_dfl: 0.503713 loss: 2.601976 eta: 1 day, 7:14:42 batch_cost: 0.9884 data_cost: 0.0023 ips: 64.7522 images/s
[03/18 11:19:21] ppdet.engine INFO: Epoch: [10] [420/458] learning_rate: 0.319073 loss_vfl: 1.450642 loss_bbox: 0.739719 loss_dfl: 0.529463 loss: 2.723487 eta: 1 day, 7:12:57 batch_cost: 0.6846 data_cost: 0.0024 ips: 93.4833 images/s
[03/18 11:19:40] ppdet.engine INFO: Epoch: [10] [440/458] learning_rate: 0.319065 loss_vfl: 1.359156 loss_bbox: 0.698504 loss_dfl: 0.500008 loss: 2.531359 eta: 1 day, 7:12:29 batch_cost: 0.8278 data_cost: 0.0048 ips: 77.3125 images/s
[03/18 11:20:00] ppdet.engine INFO: Epoch: [11] [  0/458] learning_rate: 0.319058 loss_vfl: 1.415915 loss_bbox: 0.712126 loss_dfl: 0.505613 loss: 2.614462 eta: 1 day, 7:13:12 batch_cost: 0.9482 data_cost: 0.3312 ips: 67.4998 images/s
[03/18 11:20:16] ppdet.engine INFO: Epoch: [11] [ 20/458] learning_rate: 0.319050 loss_vfl: 1.443079 loss_bbox: 0.708390 loss_dfl: 0.505025 loss: 2.626820 eta: 1 day, 7:11:53 batch_cost: 0.7316 data_cost: 0.1234 ips: 87.4738 images/s
[03/18 11:20:33] ppdet.engine INFO: Epoch: [11] [ 40/458] learning_rate: 0.319042 loss_vfl: 1.442787 loss_bbox: 0.740575 loss_dfl: 0.523839 loss: 2.690484 eta: 1 day, 7:10:15 batch_cost: 0.6933 data_cost: 0.0010 ips: 92.3184 images/s
[03/18 11:20:52] ppdet.engine INFO: Epoch: [11] [ 60/458] learning_rate: 0.319034 loss_vfl: 1.442928 loss_bbox: 0.682554 loss_dfl: 0.496067 loss: 2.626754 eta: 1 day, 7:08:46 batch_cost: 0.7084 data_cost: 0.0055 ips: 90.3430 images/s
[03/18 11:21:14] ppdet.engine INFO: Epoch: [11] [ 80/458] learning_rate: 0.319026 loss_vfl: 1.434738 loss_bbox: 0.701574 loss_dfl: 0.502198 loss: 2.667464 eta: 1 day, 7:09:08 batch_cost: 0.9234 data_cost: 0.2175 ips: 69.3117 images/s
[03/18 11:21:36] ppdet.engine INFO: Epoch: [11] [100/458] learning_rate: 0.319018 loss_vfl: 1.421376 loss_bbox: 0.700103 loss_dfl: 0.499993 loss: 2.592648 eta: 1 day, 7:09:36 batch_cost: 0.9352 data_cost: 0.2880 ips: 68.4350 images/s
[03/18 11:21:57] ppdet.engine INFO: Epoch: [11] [120/458] learning_rate: 0.319010 loss_vfl: 1.487640 loss_bbox: 0.768360 loss_dfl: 0.535802 loss: 2.802270 eta: 1 day, 7:09:39 batch_cost: 0.8863 data_cost: 0.2163 ips: 72.2130 images/s
[03/18 11:22:15] ppdet.engine INFO: Epoch: [11] [140/458] learning_rate: 0.319002 loss_vfl: 1.334369 loss_bbox: 0.694423 loss_dfl: 0.500465 loss: 2.548187 eta: 1 day, 7:08:42 batch_cost: 0.7705 data_cost: 0.1976 ips: 83.0653 images/s
[03/18 11:22:38] ppdet.engine INFO: Epoch: [11] [160/458] learning_rate: 0.318993 loss_vfl: 1.432267 loss_bbox: 0.717503 loss_dfl: 0.514127 loss: 2.679373 eta: 1 day, 7:09:22 batch_cost: 0.9606 data_cost: 0.0614 ips: 66.6269 images/s
[03/18 11:22:59] ppdet.engine INFO: Epoch: [11] [180/458] learning_rate: 0.318985 loss_vfl: 1.414939 loss_bbox: 0.722197 loss_dfl: 0.522738 loss: 2.613663 eta: 1 day, 7:09:25 batch_cost: 0.8883 data_cost: 0.0023 ips: 72.0458 images/s
[03/18 11:23:19] ppdet.engine INFO: Epoch: [11] [200/458] learning_rate: 0.318977 loss_vfl: 1.381848 loss_bbox: 0.707645 loss_dfl: 0.504102 loss: 2.600705 eta: 1 day, 7:09:37 batch_cost: 0.9050 data_cost: 0.0022 ips: 70.7176 images/s
[03/18 11:23:39] ppdet.engine INFO: Epoch: [11] [220/458] learning_rate: 0.318969 loss_vfl: 1.430353 loss_bbox: 0.725138 loss_dfl: 0.507448 loss: 2.685350 eta: 1 day, 7:09:20 batch_cost: 0.8495 data_cost: 0.0084 ips: 75.3423 images/s
[03/18 11:24:00] ppdet.engine INFO: Epoch: [11] [240/458] learning_rate: 0.318960 loss_vfl: 1.379171 loss_bbox: 0.655336 loss_dfl: 0.477430 loss: 2.527170 eta: 1 day, 7:09:17 batch_cost: 0.8753 data_cost: 0.0012 ips: 73.1164 images/s
[03/18 11:24:22] ppdet.engine INFO: Epoch: [11] [260/458] learning_rate: 0.318952 loss_vfl: 1.339182 loss_bbox: 0.665509 loss_dfl: 0.479300 loss: 2.477103 eta: 1 day, 7:09:47 batch_cost: 0.9444 data_cost: 0.0035 ips: 67.7685 images/s
[03/18 11:24:40] ppdet.engine INFO: Epoch: [11] [280/458] learning_rate: 0.318943 loss_vfl: 1.412385 loss_bbox: 0.706391 loss_dfl: 0.508168 loss: 2.610980 eta: 1 day, 7:08:53 batch_cost: 0.7743 data_cost: 0.0069 ips: 82.6606 images/s
[03/18 11:24:59] ppdet.engine INFO: Epoch: [11] [300/458] learning_rate: 0.318935 loss_vfl: 1.367021 loss_bbox: 0.674807 loss_dfl: 0.493180 loss: 2.523185 eta: 1 day, 7:08:08 batch_cost: 0.7923 data_cost: 0.1023 ips: 80.7791 images/s
[03/18 11:25:22] ppdet.engine INFO: Epoch: [11] [320/458] learning_rate: 0.318927 loss_vfl: 1.382780 loss_bbox: 0.702311 loss_dfl: 0.505695 loss: 2.598738 eta: 1 day, 7:09:11 batch_cost: 1.0118 data_cost: 0.4239 ips: 63.2517 images/s
[03/18 11:25:41] ppdet.engine INFO: Epoch: [11] [340/458] learning_rate: 0.318918 loss_vfl: 1.380551 loss_bbox: 0.702067 loss_dfl: 0.503966 loss: 2.573756 eta: 1 day, 7:08:37 batch_cost: 0.8147 data_cost: 0.1229 ips: 78.5595 images/s
[03/18 11:26:03] ppdet.engine INFO: Epoch: [11] [360/458] learning_rate: 0.318910 loss_vfl: 1.349611 loss_bbox: 0.691041 loss_dfl: 0.495976 loss: 2.583051 eta: 1 day, 7:08:35 batch_cost: 0.8792 data_cost: 0.1587 ips: 72.7940 images/s
[03/18 11:26:24] ppdet.engine INFO: Epoch: [11] [380/458] learning_rate: 0.318901 loss_vfl: 1.359047 loss_bbox: 0.655436 loss_dfl: 0.479856 loss: 2.484241 eta: 1 day, 7:08:30 batch_cost: 0.8749 data_cost: 0.2149 ips: 73.1478 images/s
[03/18 11:26:44] ppdet.engine INFO: Epoch: [11] [400/458] learning_rate: 0.318892 loss_vfl: 1.418808 loss_bbox: 0.721047 loss_dfl: 0.516122 loss: 2.642402 eta: 1 day, 7:08:25 batch_cost: 0.8735 data_cost: 0.2088 ips: 73.2692 images/s
[03/18 11:26:59] ppdet.engine INFO: Epoch: [11] [420/458] learning_rate: 0.318884 loss_vfl: 1.394538 loss_bbox: 0.722608 loss_dfl: 0.507009 loss: 2.644603 eta: 1 day, 7:06:18 batch_cost: 0.6221 data_cost: 0.0449 ips: 102.8709 images/s
[03/18 11:27:15] ppdet.engine INFO: Epoch: [11] [440/458] learning_rate: 0.318875 loss_vfl: 1.404717 loss_bbox: 0.667959 loss_dfl: 0.500955 loss: 2.589022 eta: 1 day, 7:04:56 batch_cost: 0.7132 data_cost: 0.1330 ips: 89.7351 images/s
[03/18 11:27:34] ppdet.engine INFO: Epoch: [12] [  0/458] learning_rate: 0.318867 loss_vfl: 1.427735 loss_bbox: 0.759965 loss_dfl: 0.541394 loss: 2.750030 eta: 1 day, 7:05:11 batch_cost: 0.9228 data_cost: 0.3515 ips: 69.3551 images/s
[03/18 11:27:56] ppdet.engine INFO: Epoch: [12] [ 20/458] learning_rate: 0.318859 loss_vfl: 1.452741 loss_bbox: 0.722109 loss_dfl: 0.520351 loss: 2.689936 eta: 1 day, 7:04:58 batch_cost: 0.8554 data_cost: 0.0019 ips: 74.8197 images/s
[03/18 11:28:18] ppdet.engine INFO: Epoch: [12] [ 40/458] learning_rate: 0.318850 loss_vfl: 1.411541 loss_bbox: 0.708771 loss_dfl: 0.511950 loss: 2.628493 eta: 1 day, 7:05:24 batch_cost: 0.9392 data_cost: 0.0043 ips: 68.1414 images/s
[03/18 11:28:37] ppdet.engine INFO: Epoch: [12] [ 60/458] learning_rate: 0.318841 loss_vfl: 1.417907 loss_bbox: 0.706712 loss_dfl: 0.508889 loss: 2.621648 eta: 1 day, 7:04:42 batch_cost: 0.7965 data_cost: 0.0273 ips: 80.3519 images/s
[03/18 11:28:56] ppdet.engine INFO: Epoch: [12] [ 80/458] learning_rate: 0.318832 loss_vfl: 1.378432 loss_bbox: 0.731689 loss_dfl: 0.517431 loss: 2.629592 eta: 1 day, 7:04:00 batch_cost: 0.7961 data_cost: 0.0150 ips: 80.3869 images/s
[03/18 11:29:19] ppdet.engine INFO: Epoch: [12] [100/458] learning_rate: 0.318823 loss_vfl: 1.316462 loss_bbox: 0.668215 loss_dfl: 0.468380 loss: 2.416790 eta: 1 day, 7:04:25 batch_cost: 0.9362 data_cost: 0.0958 ips: 68.3645 images/s
[03/18 11:29:40] ppdet.engine INFO: Epoch: [12] [120/458] learning_rate: 0.318814 loss_vfl: 1.519143 loss_bbox: 0.739380 loss_dfl: 0.540164 loss: 2.847281 eta: 1 day, 7:04:39 batch_cost: 0.9152 data_cost: 0.0050 ips: 69.9307 images/s
[03/18 11:29:59] ppdet.engine INFO: Epoch: [12] [140/458] learning_rate: 0.318805 loss_vfl: 1.367827 loss_bbox: 0.695135 loss_dfl: 0.487946 loss: 2.525213 eta: 1 day, 7:03:59 batch_cost: 0.8002 data_cost: 0.0060 ips: 79.9830 images/s
[03/18 11:30:20] ppdet.engine INFO: Epoch: [12] [160/458] learning_rate: 0.318796 loss_vfl: 1.399655 loss_bbox: 0.705581 loss_dfl: 0.518324 loss: 2.622409 eta: 1 day, 7:04:12 batch_cost: 0.9125 data_cost: 0.0022 ips: 70.1368 images/s
[03/18 11:30:43] ppdet.engine INFO: Epoch: [12] [180/458] learning_rate: 0.318787 loss_vfl: 1.434613 loss_bbox: 0.714652 loss_dfl: 0.517784 loss: 2.667099 eta: 1 day, 7:04:44 batch_cost: 0.9544 data_cost: 0.1942 ips: 67.0551 images/s
[03/18 11:31:03] ppdet.engine INFO: Epoch: [12] [200/458] learning_rate: 0.318778 loss_vfl: 1.379840 loss_bbox: 0.700765 loss_dfl: 0.506493 loss: 2.566377 eta: 1 day, 7:04:05 batch_cost: 0.8018 data_cost: 0.0746 ips: 79.8160 images/s
[03/18 11:31:24] ppdet.engine INFO: Epoch: [12] [220/458] learning_rate: 0.318769 loss_vfl: 1.392809 loss_bbox: 0.714412 loss_dfl: 0.507818 loss: 2.594597 eta: 1 day, 7:04:28 batch_cost: 0.9367 data_cost: 0.1192 ips: 68.3285 images/s
[03/18 11:31:46] ppdet.engine INFO: Epoch: [12] [240/458] learning_rate: 0.318760 loss_vfl: 1.401303 loss_bbox: 0.711780 loss_dfl: 0.506822 loss: 2.624684 eta: 1 day, 7:05:09 batch_cost: 0.9753 data_cost: 0.0030 ips: 65.6175 images/s
[03/18 11:32:05] ppdet.engine INFO: Epoch: [12] [260/458] learning_rate: 0.318751 loss_vfl: 1.433751 loss_bbox: 0.714801 loss_dfl: 0.519228 loss: 2.643869 eta: 1 day, 7:04:45 batch_cost: 0.8342 data_cost: 0.0061 ips: 76.7193 images/s
[03/18 11:32:25] ppdet.engine INFO: Epoch: [12] [280/458] learning_rate: 0.318742 loss_vfl: 1.410714 loss_bbox: 0.674987 loss_dfl: 0.495144 loss: 2.622579 eta: 1 day, 7:04:22 batch_cost: 0.8376 data_cost: 0.0022 ips: 76.4115 images/s
[03/18 11:32:47] ppdet.engine INFO: Epoch: [12] [300/458] learning_rate: 0.318733 loss_vfl: 1.313098 loss_bbox: 0.672300 loss_dfl: 0.479829 loss: 2.420538 eta: 1 day, 7:04:36 batch_cost: 0.9187 data_cost: 0.0207 ips: 69.6632 images/s
[03/18 11:33:06] ppdet.engine INFO: Epoch: [12] [320/458] learning_rate: 0.318724 loss_vfl: 1.424281 loss_bbox: 0.725928 loss_dfl: 0.516555 loss: 2.620904 eta: 1 day, 7:03:49 batch_cost: 0.7829 data_cost: 0.0052 ips: 81.7451 images/s
[03/18 11:33:28] ppdet.engine INFO: Epoch: [12] [340/458] learning_rate: 0.318714 loss_vfl: 1.501296 loss_bbox: 0.747865 loss_dfl: 0.537315 loss: 2.784670 eta: 1 day, 7:03:55 batch_cost: 0.9011 data_cost: 0.0059 ips: 71.0259 images/s
[03/18 11:33:47] ppdet.engine INFO: Epoch: [12] [360/458] learning_rate: 0.318705 loss_vfl: 1.454811 loss_bbox: 0.729626 loss_dfl: 0.531617 loss: 2.706428 eta: 1 day, 7:03:35 batch_cost: 0.8434 data_cost: 0.0317 ips: 75.8839 images/s
[03/18 11:34:03] ppdet.engine INFO: Epoch: [12] [380/458] learning_rate: 0.318696 loss_vfl: 1.407453 loss_bbox: 0.690830 loss_dfl: 0.504730 loss: 2.611960 eta: 1 day, 7:01:50 batch_cost: 0.6530 data_cost: 0.0058 ips: 98.0162 images/s
[03/18 11:34:20] ppdet.engine INFO: Epoch: [12] [400/458] learning_rate: 0.318686 loss_vfl: 1.391715 loss_bbox: 0.687334 loss_dfl: 0.503883 loss: 2.572191 eta: 1 day, 7:00:28 batch_cost: 0.7038 data_cost: 0.1289 ips: 90.9366 images/s
[03/18 11:34:38] ppdet.engine INFO: Epoch: [12] [420/458] learning_rate: 0.318677 loss_vfl: 1.385524 loss_bbox: 0.694066 loss_dfl: 0.484352 loss: 2.551407 eta: 1 day, 6:59:38 batch_cost: 0.7739 data_cost: 0.1509 ips: 82.6995 images/s
[03/18 11:34:58] ppdet.engine INFO: Epoch: [12] [440/458] learning_rate: 0.318668 loss_vfl: 1.455806 loss_bbox: 0.734972 loss_dfl: 0.515012 loss: 2.677892 eta: 1 day, 6:59:34 batch_cost: 0.8782 data_cost: 0.2265 ips: 72.8737 images/s
[03/18 11:35:19] ppdet.engine INFO: Epoch: [13] [  0/458] learning_rate: 0.318659 loss_vfl: 1.441505 loss_bbox: 0.719598 loss_dfl: 0.529685 loss: 2.687914 eta: 1 day, 7:00:19 batch_cost: 0.9527 data_cost: 0.4441 ips: 67.1744 images/s
[03/18 11:35:39] ppdet.engine INFO: Epoch: [13] [ 20/458] learning_rate: 0.318650 loss_vfl: 1.400197 loss_bbox: 0.677945 loss_dfl: 0.499710 loss: 2.568978 eta: 1 day, 7:00:27 batch_cost: 0.9063 data_cost: 0.0096 ips: 70.6165 images/s
[03/18 11:35:58] ppdet.engine INFO: Epoch: [13] [ 40/458] learning_rate: 0.318640 loss_vfl: 1.451703 loss_bbox: 0.726621 loss_dfl: 0.515953 loss: 2.661549 eta: 1 day, 7:00:19 batch_cost: 0.8701 data_cost: 0.0022 ips: 73.5572 images/s
[03/18 11:36:17] ppdet.engine INFO: Epoch: [13] [ 60/458] learning_rate: 0.318630 loss_vfl: 1.407294 loss_bbox: 0.714695 loss_dfl: 0.506401 loss: 2.621093 eta: 1 day, 6:59:49 batch_cost: 0.8196 data_cost: 0.0037 ips: 78.0891 images/s
[03/18 11:36:37] ppdet.engine INFO: Epoch: [13] [ 80/458] learning_rate: 0.318621 loss_vfl: 1.395567 loss_bbox: 0.707434 loss_dfl: 0.505893 loss: 2.620049 eta: 1 day, 6:59:55 batch_cost: 0.9006 data_cost: 0.1089 ips: 71.0601 images/s
[03/18 11:36:58] ppdet.engine INFO: Epoch: [13] [100/458] learning_rate: 0.318611 loss_vfl: 1.386489 loss_bbox: 0.694604 loss_dfl: 0.506052 loss: 2.616263 eta: 1 day, 7:00:43 batch_cost: 0.9988 data_cost: 0.2627 ips: 64.0753 images/s
[03/18 11:37:18] ppdet.engine INFO: Epoch: [13] [120/458] learning_rate: 0.318602 loss_vfl: 1.388700 loss_bbox: 0.689305 loss_dfl: 0.502246 loss: 2.584781 eta: 1 day, 7:00:29 batch_cost: 0.8577 data_cost: 0.0011 ips: 74.6145 images/s
[03/18 11:37:40] ppdet.engine INFO: Epoch: [13] [140/458] learning_rate: 0.318592 loss_vfl: 1.405193 loss_bbox: 0.723451 loss_dfl: 0.526283 loss: 2.680963 eta: 1 day, 7:01:19 batch_cost: 1.0069 data_cost: 0.0045 ips: 63.5641 images/s
[03/18 11:37:58] ppdet.engine INFO: Epoch: [13] [160/458] learning_rate: 0.318582 loss_vfl: 1.411213 loss_bbox: 0.729191 loss_dfl: 0.512124 loss: 2.668017 eta: 1 day, 7:01:02 batch_cost: 0.8484 data_cost: 0.0013 ips: 75.4338 images/s
[03/18 11:38:17] ppdet.engine INFO: Epoch: [13] [180/458] learning_rate: 0.318572 loss_vfl: 1.409384 loss_bbox: 0.709634 loss_dfl: 0.505716 loss: 2.607030 eta: 1 day, 7:00:38 batch_cost: 0.8361 data_cost: 0.0004 ips: 76.5436 images/s
[03/18 11:38:37] ppdet.engine INFO: Epoch: [13] [200/458] learning_rate: 0.318563 loss_vfl: 1.368325 loss_bbox: 0.703083 loss_dfl: 0.500870 loss: 2.551183 eta: 1 day, 7:00:56 batch_cost: 0.9306 data_cost: 0.0022 ips: 68.7704 images/s
[03/18 11:38:55] ppdet.engine INFO: Epoch: [13] [220/458] learning_rate: 0.318553 loss_vfl: 1.434705 loss_bbox: 0.706952 loss_dfl: 0.525520 loss: 2.681694 eta: 1 day, 7:00:19 batch_cost: 0.8045 data_cost: 0.0986 ips: 79.5497 images/s
[03/18 11:39:17] ppdet.engine INFO: Epoch: [13] [240/458] learning_rate: 0.318543 loss_vfl: 1.350250 loss_bbox: 0.669004 loss_dfl: 0.482724 loss: 2.500310 eta: 1 day, 7:01:04 batch_cost: 0.9969 data_cost: 0.0251 ips: 64.1992 images/s
[03/18 11:39:36] ppdet.engine INFO: Epoch: [13] [260/458] learning_rate: 0.318533 loss_vfl: 1.405705 loss_bbox: 0.719687 loss_dfl: 0.515570 loss: 2.664927 eta: 1 day, 7:00:48 batch_cost: 0.8548 data_cost: 0.0026 ips: 74.8736 images/s
[03/18 11:39:56] ppdet.engine INFO: Epoch: [13] [280/458] learning_rate: 0.318523 loss_vfl: 1.369458 loss_bbox: 0.716571 loss_dfl: 0.509295 loss: 2.603909 eta: 1 day, 7:00:53 batch_cost: 0.9025 data_cost: 0.0537 ips: 70.9105 images/s
[03/18 11:40:19] ppdet.engine INFO: Epoch: [13] [300/458] learning_rate: 0.318513 loss_vfl: 1.457360 loss_bbox: 0.721064 loss_dfl: 0.521783 loss: 2.680137 eta: 1 day, 7:01:24 batch_cost: 0.9663 data_cost: 0.0035 ips: 66.2336 images/s
[03/18 11:40:37] ppdet.engine INFO: Epoch: [13] [320/458] learning_rate: 0.318503 loss_vfl: 1.443200 loss_bbox: 0.748932 loss_dfl: 0.523674 loss: 2.719065 eta: 1 day, 7:00:59 batch_cost: 0.8330 data_cost: 0.0044 ips: 76.8264 images/s
[03/18 11:40:54] ppdet.engine INFO: Epoch: [13] [340/458] learning_rate: 0.318493 loss_vfl: 1.325845 loss_bbox: 0.659034 loss_dfl: 0.479237 loss: 2.457888 eta: 1 day, 7:00:05 batch_cost: 0.7618 data_cost: 0.0046 ips: 84.0098 images/s
[03/18 11:41:11] ppdet.engine INFO: Epoch: [13] [360/458] learning_rate: 0.318483 loss_vfl: 1.470828 loss_bbox: 0.745324 loss_dfl: 0.526856 loss: 2.736274 eta: 1 day, 6:59:17 batch_cost: 0.7755 data_cost: 0.0203 ips: 82.5325 images/s
[03/18 11:41:27] ppdet.engine INFO: Epoch: [13] [380/458] learning_rate: 0.318473 loss_vfl: 1.336228 loss_bbox: 0.691611 loss_dfl: 0.499538 loss: 2.562774 eta: 1 day, 6:57:58 batch_cost: 0.7020 data_cost: 0.0026 ips: 91.1620 images/s
[03/18 11:41:44] ppdet.engine INFO: Epoch: [13] [400/458] learning_rate: 0.318463 loss_vfl: 1.370384 loss_bbox: 0.694685 loss_dfl: 0.499624 loss: 2.595322 eta: 1 day, 6:56:57 batch_cost: 0.7435 data_cost: 0.0011 ips: 86.0836 images/s
[03/18 11:42:02] ppdet.engine INFO: Epoch: [13] [420/458] learning_rate: 0.318453 loss_vfl: 1.347623 loss_bbox: 0.665816 loss_dfl: 0.487481 loss: 2.522473 eta: 1 day, 6:56:06 batch_cost: 0.7685 data_cost: 0.1956 ips: 83.2840 images/s
[03/18 11:42:22] ppdet.engine INFO: Epoch: [13] [440/458] learning_rate: 0.318443 loss_vfl: 1.419374 loss_bbox: 0.688556 loss_dfl: 0.500679 loss: 2.647963 eta: 1 day, 6:56:26 batch_cost: 0.9395 data_cost: 0.3310 ips: 68.1217 images/s
[03/18 11:42:46] ppdet.engine INFO: Epoch: [14] [  0/458] learning_rate: 0.318433 loss_vfl: 1.402364 loss_bbox: 0.687186 loss_dfl: 0.506355 loss: 2.622789 eta: 1 day, 6:58:07 batch_cost: 1.1176 data_cost: 0.5177 ips: 57.2675 images/s
[03/18 11:43:05] ppdet.engine INFO: Epoch: [14] [ 20/458] learning_rate: 0.318423 loss_vfl: 1.472800 loss_bbox: 0.747289 loss_dfl: 0.525575 loss: 2.700814 eta: 1 day, 6:57:49 batch_cost: 0.8467 data_cost: 0.0443 ips: 75.5872 images/s
[03/18 11:43:26] ppdet.engine INFO: Epoch: [14] [ 40/458] learning_rate: 0.318413 loss_vfl: 1.420104 loss_bbox: 0.706050 loss_dfl: 0.501895 loss: 2.622452 eta: 1 day, 6:58:33 batch_cost: 1.0025 data_cost: 0.2346 ips: 63.8407 images/s
[03/18 11:43:46] ppdet.engine INFO: Epoch: [14] [ 60/458] learning_rate: 0.318402 loss_vfl: 1.374606 loss_bbox: 0.703188 loss_dfl: 0.506166 loss: 2.588298 eta: 1 day, 6:58:32 batch_cost: 0.8904 data_cost: 0.0414 ips: 71.8757 images/s
[03/18 11:44:04] ppdet.engine INFO: Epoch: [14] [ 80/458] learning_rate: 0.318392 loss_vfl: 1.414702 loss_bbox: 0.693388 loss_dfl: 0.510318 loss: 2.577244 eta: 1 day, 6:57:52 batch_cost: 0.7967 data_cost: 0.0003 ips: 80.3351 images/s
[03/18 11:44:28] ppdet.engine INFO: Epoch: [14] [100/458] learning_rate: 0.318382 loss_vfl: 1.363345 loss_bbox: 0.670068 loss_dfl: 0.485868 loss: 2.538623 eta: 1 day, 6:59:07 batch_cost: 1.0803 data_cost: 0.2293 ips: 59.2448 images/s
[03/18 11:44:50] ppdet.engine INFO: Epoch: [14] [120/458] learning_rate: 0.318371 loss_vfl: 1.365608 loss_bbox: 0.667946 loss_dfl: 0.491404 loss: 2.515743 eta: 1 day, 7:00:02 batch_cost: 1.0314 data_cost: 0.3019 ips: 62.0511 images/s
[03/18 11:45:09] ppdet.engine INFO: Epoch: [14] [140/458] learning_rate: 0.318361 loss_vfl: 1.463583 loss_bbox: 0.734918 loss_dfl: 0.514698 loss: 2.719110 eta: 1 day, 6:59:42 batch_cost: 0.8452 data_cost: 0.1804 ips: 75.7245 images/s
[03/18 11:45:30] ppdet.engine INFO: Epoch: [14] [160/458] learning_rate: 0.318350 loss_vfl: 1.420252 loss_bbox: 0.671070 loss_dfl: 0.492777 loss: 2.551314 eta: 1 day, 7:00:02 batch_cost: 0.9461 data_cost: 0.2971 ips: 67.6484 images/s
[03/18 11:45:50] ppdet.engine INFO: Epoch: [14] [180/458] learning_rate: 0.318340 loss_vfl: 1.436165 loss_bbox: 0.720598 loss_dfl: 0.527918 loss: 2.663460 eta: 1 day, 6:59:59 batch_cost: 0.8890 data_cost: 0.0015 ips: 71.9885 images/s
[03/18 11:46:12] ppdet.engine INFO: Epoch: [14] [200/458] learning_rate: 0.318329 loss_vfl: 1.438567 loss_bbox: 0.710817 loss_dfl: 0.513251 loss: 2.655492 eta: 1 day, 7:00:37 batch_cost: 0.9918 data_cost: 0.1006 ips: 64.5291 images/s
[03/18 11:46:33] ppdet.engine INFO: Epoch: [14] [220/458] learning_rate: 0.318319 loss_vfl: 1.387213 loss_bbox: 0.696281 loss_dfl: 0.499814 loss: 2.590577 eta: 1 day, 7:01:05 batch_cost: 0.9681 data_cost: 0.0007 ips: 66.1120 images/s
[03/18 11:46:53] ppdet.engine INFO: Epoch: [14] [240/458] learning_rate: 0.318308 loss_vfl: 1.477042 loss_bbox: 0.745905 loss_dfl: 0.546040 loss: 2.749179 eta: 1 day, 7:01:06 batch_cost: 0.9001 data_cost: 0.1380 ips: 71.0994 images/s
[03/18 11:47:11] ppdet.engine INFO: Epoch: [14] [260/458] learning_rate: 0.318297 loss_vfl: 1.403576 loss_bbox: 0.668550 loss_dfl: 0.488842 loss: 2.577194 eta: 1 day, 7:00:24 batch_cost: 0.7892 data_cost: 0.0016 ips: 81.0994 images/s
[03/18 11:47:33] ppdet.engine INFO: Epoch: [14] [280/458] learning_rate: 0.318287 loss_vfl: 1.399885 loss_bbox: 0.705177 loss_dfl: 0.514659 loss: 2.627679 eta: 1 day, 7:01:18 batch_cost: 1.0368 data_cost: 0.0012 ips: 61.7269 images/s
[03/18 11:47:54] ppdet.engine INFO: Epoch: [14] [300/458] learning_rate: 0.318276 loss_vfl: 1.354263 loss_bbox: 0.695777 loss_dfl: 0.496403 loss: 2.548722 eta: 1 day, 7:01:45 batch_cost: 0.9668 data_cost: 0.0673 ips: 66.1997 images/s
[03/18 11:48:11] ppdet.engine INFO: Epoch: [14] [320/458] learning_rate: 0.318265 loss_vfl: 1.359218 loss_bbox: 0.649831 loss_dfl: 0.484050 loss: 2.518380 eta: 1 day, 7:00:46 batch_cost: 0.7463 data_cost: 0.0007 ips: 85.7555 images/s
[03/18 11:48:28] ppdet.engine INFO: Epoch: [14] [340/458] learning_rate: 0.318255 loss_vfl: 1.379276 loss_bbox: 0.669061 loss_dfl: 0.490966 loss: 2.514418 eta: 1 day, 7:00:03 batch_cost: 0.7887 data_cost: 0.0990 ips: 81.1506 images/s
[03/18 11:48:41] ppdet.engine INFO: Epoch: [14] [360/458] learning_rate: 0.318244 loss_vfl: 1.382363 loss_bbox: 0.677891 loss_dfl: 0.508980 loss: 2.600894 eta: 1 day, 6:58:21 batch_cost: 0.6343 data_cost: 0.0005 ips: 100.9020 images/s
[03/18 11:49:05] ppdet.engine INFO: Epoch: [14] [380/458] learning_rate: 0.318233 loss_vfl: 1.522175 loss_bbox: 0.739814 loss_dfl: 0.532181 loss: 2.799359 eta: 1 day, 6:59:27 batch_cost: 1.0703 data_cost: 0.0248 ips: 59.7951 images/s
[03/18 11:49:25] ppdet.engine INFO: Epoch: [14] [400/458] learning_rate: 0.318222 loss_vfl: 1.394916 loss_bbox: 0.687777 loss_dfl: 0.499239 loss: 2.559304 eta: 1 day, 6:59:27 batch_cost: 0.8980 data_cost: 0.2986 ips: 71.2712 images/s
[03/18 11:49:46] ppdet.engine INFO: Epoch: [14] [420/458] learning_rate: 0.318211 loss_vfl: 1.379686 loss_bbox: 0.684366 loss_dfl: 0.493821 loss: 2.532453 eta: 1 day, 6:59:47 batch_cost: 0.9506 data_cost: 0.4404 ips: 67.3232 images/s
[03/18 11:50:07] ppdet.engine INFO: Epoch: [14] [440/458] learning_rate: 0.318200 loss_vfl: 1.381077 loss_bbox: 0.677543 loss_dfl: 0.490639 loss: 2.545769 eta: 1 day, 7:00:32 batch_cost: 1.0174 data_cost: 0.2279 ips: 62.9038 images/s
[03/18 11:50:27] ppdet.engine INFO: Epoch: [15] [  0/458] learning_rate: 0.318190 loss_vfl: 1.384984 loss_bbox: 0.697123 loss_dfl: 0.508484 loss: 2.589252 eta: 1 day, 7:01:00 batch_cost: 1.1122 data_cost: 0.4527 ips: 57.5417 images/s
[03/18 11:50:46] ppdet.engine INFO: Epoch: [15] [ 20/458] learning_rate: 0.318179 loss_vfl: 1.392312 loss_bbox: 0.681244 loss_dfl: 0.504602 loss: 2.586812 eta: 1 day, 7:00:04 batch_cost: 0.7507 data_cost: 0.0067 ips: 85.2572 images/s
[03/18 11:51:05] ppdet.engine INFO: Epoch: [15] [ 40/458] learning_rate: 0.318168 loss_vfl: 1.337648 loss_bbox: 0.667642 loss_dfl: 0.478774 loss: 2.465427 eta: 1 day, 6:59:09 batch_cost: 0.7565 data_cost: 0.0028 ips: 84.6014 images/s
[03/18 11:51:25] ppdet.engine INFO: Epoch: [15] [ 60/458] learning_rate: 0.318157 loss_vfl: 1.368042 loss_bbox: 0.678267 loss_dfl: 0.490758 loss: 2.537132 eta: 1 day, 6:59:10 batch_cost: 0.9036 data_cost: 0.0056 ips: 70.8267 images/s
[03/18 11:51:42] ppdet.engine INFO: Epoch: [15] [ 80/458] learning_rate: 0.318146 loss_vfl: 1.307250 loss_bbox: 0.652686 loss_dfl: 0.478643 loss: 2.410866 eta: 1 day, 6:57:58 batch_cost: 0.7074 data_cost: 0.0039 ips: 90.4669 images/s
[03/18 11:52:04] ppdet.engine INFO: Epoch: [15] [100/458] learning_rate: 0.318135 loss_vfl: 1.400628 loss_bbox: 0.709554 loss_dfl: 0.516570 loss: 2.616540 eta: 1 day, 6:58:17 batch_cost: 0.9520 data_cost: 0.0130 ips: 67.2240 images/s
[03/18 11:52:23] ppdet.engine INFO: Epoch: [15] [120/458] learning_rate: 0.318124 loss_vfl: 1.351941 loss_bbox: 0.694091 loss_dfl: 0.502342 loss: 2.534896 eta: 1 day, 6:57:54 batch_cost: 0.8369 data_cost: 0.0035 ips: 76.4735 images/s
[03/18 11:52:40] ppdet.engine INFO: Epoch: [15] [140/458] learning_rate: 0.318112 loss_vfl: 1.428364 loss_bbox: 0.711007 loss_dfl: 0.531609 loss: 2.703318 eta: 1 day, 6:57:04 batch_cost: 0.7685 data_cost: 0.0047 ips: 83.2819 images/s
[03/18 11:53:01] ppdet.engine INFO: Epoch: [15] [160/458] learning_rate: 0.318101 loss_vfl: 1.398744 loss_bbox: 0.695843 loss_dfl: 0.504834 loss: 2.591361 eta: 1 day, 6:57:18 batch_cost: 0.9384 data_cost: 0.0228 ips: 68.1977 images/s
[03/18 11:53:19] ppdet.engine INFO: Epoch: [15] [180/458] learning_rate: 0.318090 loss_vfl: 1.389159 loss_bbox: 0.691414 loss_dfl: 0.502591 loss: 2.543082 eta: 1 day, 6:56:13 batch_cost: 0.7230 data_cost: 0.0044 ips: 88.5239 images/s
[03/18 11:53:36] ppdet.engine INFO: Epoch: [15] [200/458] learning_rate: 0.318079 loss_vfl: 1.361382 loss_bbox: 0.675182 loss_dfl: 0.501616 loss: 2.581322 eta: 1 day, 6:55:12 batch_cost: 0.7355 data_cost: 0.0384 ips: 87.0112 images/s
[03/18 11:53:56] ppdet.engine INFO: Epoch: [15] [220/458] learning_rate: 0.318067 loss_vfl: 1.411700 loss_bbox: 0.702626 loss_dfl: 0.504983 loss: 2.636542 eta: 1 day, 6:55:11 batch_cost: 0.8998 data_cost: 0.0488 ips: 71.1240 images/s
[03/18 11:54:16] ppdet.engine INFO: Epoch: [15] [240/458] learning_rate: 0.318056 loss_vfl: 1.399599 loss_bbox: 0.698680 loss_dfl: 0.509333 loss: 2.587810 eta: 1 day, 6:55:05 batch_cost: 0.8847 data_cost: 0.2417 ips: 72.3372 images/s
[03/18 11:54:36] ppdet.engine INFO: Epoch: [15] [260/458] learning_rate: 0.318044 loss_vfl: 1.345791 loss_bbox: 0.691380 loss_dfl: 0.491691 loss: 2.496522 eta: 1 day, 6:54:59 batch_cost: 0.8832 data_cost: 0.3509 ips: 72.4667 images/s
[03/18 11:54:53] ppdet.engine INFO: Epoch: [15] [280/458] learning_rate: 0.318033 loss_vfl: 1.338346 loss_bbox: 0.627091 loss_dfl: 0.468691 loss: 2.428602 eta: 1 day, 6:54:01 batch_cost: 0.7426 data_cost: 0.1707 ips: 86.1890 images/s
[03/18 11:55:12] ppdet.engine INFO: Epoch: [15] [300/458] learning_rate: 0.318022 loss_vfl: 1.346674 loss_bbox: 0.682265 loss_dfl: 0.491039 loss: 2.525921 eta: 1 day, 6:53:39 batch_cost: 0.8397 data_cost: 0.2198 ips: 76.2222 images/s
[03/18 11:55:27] ppdet.engine INFO: Epoch: [15] [320/458] learning_rate: 0.318010 loss_vfl: 1.398622 loss_bbox: 0.721832 loss_dfl: 0.517891 loss: 2.647251 eta: 1 day, 6:52:28 batch_cost: 0.7061 data_cost: 0.0977 ips: 90.6415 images/s
[03/18 11:55:41] ppdet.engine INFO: Epoch: [15] [340/458] learning_rate: 0.317998 loss_vfl: 1.400787 loss_bbox: 0.715203 loss_dfl: 0.512031 loss: 2.619006 eta: 1 day, 6:50:37 batch_cost: 0.5923 data_cost: 0.0015 ips: 108.0456 images/s
[03/18 11:56:00] ppdet.engine INFO: Epoch: [15] [360/458] learning_rate: 0.317987 loss_vfl: 1.314230 loss_bbox: 0.619643 loss_dfl: 0.448288 loss: 2.392224 eta: 1 day, 6:50:08 batch_cost: 0.8195 data_cost: 0.0062 ips: 78.0984 images/s
[03/18 11:56:17] ppdet.engine INFO: Epoch: [15] [380/458] learning_rate: 0.317975 loss_vfl: 1.357644 loss_bbox: 0.653126 loss_dfl: 0.477628 loss: 2.514165 eta: 1 day, 6:48:58 batch_cost: 0.7051 data_cost: 0.0048 ips: 90.7732 images/s
[03/18 11:56:37] ppdet.engine INFO: Epoch: [15] [400/458] learning_rate: 0.317964 loss_vfl: 1.429300 loss_bbox: 0.745527 loss_dfl: 0.528147 loss: 2.693390 eta: 1 day, 6:48:46 batch_cost: 0.8681 data_cost: 0.0081 ips: 73.7225 images/s
[03/18 11:56:56] ppdet.engine INFO: Epoch: [15] [420/458] learning_rate: 0.317952 loss_vfl: 1.451318 loss_bbox: 0.731285 loss_dfl: 0.522463 loss: 2.708977 eta: 1 day, 6:48:24 batch_cost: 0.8384 data_cost: 0.0055 ips: 76.3365 images/s
[03/18 11:57:18] ppdet.engine INFO: Epoch: [15] [440/458] learning_rate: 0.317940 loss_vfl: 1.380534 loss_bbox: 0.666575 loss_dfl: 0.478633 loss: 2.533468 eta: 1 day, 6:48:50 batch_cost: 0.9728 data_cost: 0.0043 ips: 65.7878 images/s
[03/18 11:57:39] ppdet.engine INFO: Epoch: [16] [  0/458] learning_rate: 0.317930 loss_vfl: 1.400534 loss_bbox: 0.710163 loss_dfl: 0.514408 loss: 2.584904 eta: 1 day, 6:49:34 batch_cost: 1.1181 data_cost: 0.2463 ips: 57.2382 images/s
[03/18 11:57:58] ppdet.engine INFO: Epoch: [16] [ 20/458] learning_rate: 0.317918 loss_vfl: 1.356977 loss_bbox: 0.679529 loss_dfl: 0.506097 loss: 2.611810 eta: 1 day, 6:48:38 batch_cost: 0.7439 data_cost: 0.0018 ips: 86.0289 images/s
[03/18 11:58:18] ppdet.engine INFO: Epoch: [16] [ 40/458] learning_rate: 0.317906 loss_vfl: 1.422976 loss_bbox: 0.717639 loss_dfl: 0.518408 loss: 2.679573 eta: 1 day, 6:48:24 batch_cost: 0.8624 data_cost: 0.0047 ips: 74.2100 images/s
[03/18 11:58:38] ppdet.engine INFO: Epoch: [16] [ 60/458] learning_rate: 0.317894 loss_vfl: 1.407382 loss_bbox: 0.726612 loss_dfl: 0.529908 loss: 2.662641 eta: 1 day, 6:47:57 batch_cost: 0.8242 data_cost: 0.0091 ips: 77.6499 images/s
[03/18 11:58:59] ppdet.engine INFO: Epoch: [16] [ 80/458] learning_rate: 0.317882 loss_vfl: 1.389678 loss_bbox: 0.695298 loss_dfl: 0.496985 loss: 2.608990 eta: 1 day, 6:47:46 batch_cost: 0.8695 data_cost: 0.0286 ips: 73.6013 images/s
[03/18 11:59:21] ppdet.engine INFO: Epoch: [16] [100/458] learning_rate: 0.317870 loss_vfl: 1.431729 loss_bbox: 0.728627 loss_dfl: 0.539764 loss: 2.719576 eta: 1 day, 6:48:20 batch_cost: 0.9980 data_cost: 0.2176 ips: 64.1267 images/s
[03/18 11:59:43] ppdet.engine INFO: Epoch: [16] [120/458] learning_rate: 0.317859 loss_vfl: 1.403757 loss_bbox: 0.712661 loss_dfl: 0.508982 loss: 2.591023 eta: 1 day, 6:48:38 batch_cost: 0.9542 data_cost: 0.0062 ips: 67.0734 images/s
[03/18 12:00:03] ppdet.engine INFO: Epoch: [16] [140/458] learning_rate: 0.317847 loss_vfl: 1.372799 loss_bbox: 0.693474 loss_dfl: 0.502429 loss: 2.561518 eta: 1 day, 6:48:07 batch_cost: 0.8133 data_cost: 0.0076 ips: 78.6870 images/s
[03/18 12:00:24] ppdet.engine INFO: Epoch: [16] [160/458] learning_rate: 0.317835 loss_vfl: 1.389146 loss_bbox: 0.671221 loss_dfl: 0.488422 loss: 2.549820 eta: 1 day, 6:47:54 batch_cost: 0.8666 data_cost: 0.0008 ips: 73.8532 images/s
[03/18 12:00:45] ppdet.engine INFO: Epoch: [16] [180/458] learning_rate: 0.317823 loss_vfl: 1.375223 loss_bbox: 0.671826 loss_dfl: 0.492382 loss: 2.568265 eta: 1 day, 6:48:05 batch_cost: 0.9333 data_cost: 0.1578 ips: 68.5752 images/s
[03/18 12:01:03] ppdet.engine INFO: Epoch: [16] [200/458] learning_rate: 0.317810 loss_vfl: 1.428694 loss_bbox: 0.699512 loss_dfl: 0.515943 loss: 2.662206 eta: 1 day, 6:47:31 batch_cost: 0.8043 data_cost: 0.1392 ips: 79.5727 images/s
[03/18 12:01:25] ppdet.engine INFO: Epoch: [16] [220/458] learning_rate: 0.317798 loss_vfl: 1.320039 loss_bbox: 0.640130 loss_dfl: 0.465787 loss: 2.430606 eta: 1 day, 6:47:22 batch_cost: 0.8784 data_cost: 0.1642 ips: 72.8603 images/s
[03/18 12:01:45] ppdet.engine INFO: Epoch: [16] [240/458] learning_rate: 0.317786 loss_vfl: 1.340297 loss_bbox: 0.683906 loss_dfl: 0.496500 loss: 2.526027 eta: 1 day, 6:47:08 batch_cost: 0.8613 data_cost: 0.1134 ips: 74.3091 images/s
[03/18 12:02:04] ppdet.engine INFO: Epoch: [16] [260/458] learning_rate: 0.317774 loss_vfl: 1.392251 loss_bbox: 0.698122 loss_dfl: 0.503016 loss: 2.576288 eta: 1 day, 6:46:11 batch_cost: 0.7365 data_cost: 0.0405 ips: 86.8981 images/s
[03/18 12:02:26] ppdet.engine INFO: Epoch: [16] [280/458] learning_rate: 0.317762 loss_vfl: 1.330871 loss_bbox: 0.668152 loss_dfl: 0.474218 loss: 2.455123 eta: 1 day, 6:46:47 batch_cost: 1.0106 data_cost: 0.3606 ips: 63.3301 images/s
[03/18 12:02:41] ppdet.engine INFO: Epoch: [16] [300/458] learning_rate: 0.317750 loss_vfl: 1.362500 loss_bbox: 0.671944 loss_dfl: 0.487241 loss: 2.538736 eta: 1 day, 6:45:25 batch_cost: 0.6618 data_cost: 0.0786 ips: 96.7023 images/s
[03/18 12:02:57] ppdet.engine INFO: Epoch: [16] [320/458] learning_rate: 0.317737 loss_vfl: 1.403537 loss_bbox: 0.718973 loss_dfl: 0.513373 loss: 2.624347 eta: 1 day, 6:43:54 batch_cost: 0.6367 data_cost: 0.0962 ips: 100.5168 images/s
[03/18 12:03:14] ppdet.engine INFO: Epoch: [16] [340/458] learning_rate: 0.317725 loss_vfl: 1.322731 loss_bbox: 0.674412 loss_dfl: 0.482824 loss: 2.483741 eta: 1 day, 6:43:09 batch_cost: 0.7676 data_cost: 0.1414 ips: 83.3810 images/s
[03/18 12:03:35] ppdet.engine INFO: Epoch: [16] [360/458] learning_rate: 0.317713 loss_vfl: 1.399105 loss_bbox: 0.698591 loss_dfl: 0.512843 loss: 2.619631 eta: 1 day, 6:43:13 batch_cost: 0.9147 data_cost: 0.2724 ips: 69.9659 images/s
[03/18 12:03:55] ppdet.engine INFO: Epoch: [16] [380/458] learning_rate: 0.317700 loss_vfl: 1.372225 loss_bbox: 0.664399 loss_dfl: 0.485220 loss: 2.533642 eta: 1 day, 6:43:16 batch_cost: 0.9128 data_cost: 0.3454 ips: 70.1104 images/s
[03/18 12:04:15] ppdet.engine INFO: Epoch: [16] [400/458] learning_rate: 0.317688 loss_vfl: 1.342273 loss_bbox: 0.702838 loss_dfl: 0.498150 loss: 2.572939 eta: 1 day, 6:42:54 batch_cost: 0.8384 data_cost: 0.1839 ips: 76.3331 images/s
[03/18 12:04:36] ppdet.engine INFO: Epoch: [16] [420/458] learning_rate: 0.317675 loss_vfl: 1.398291 loss_bbox: 0.724532 loss_dfl: 0.521581 loss: 2.629209 eta: 1 day, 6:43:06 batch_cost: 0.9390 data_cost: 0.2202 ips: 68.1596 images/s
[03/18 12:04:56] ppdet.engine INFO: Epoch: [16] [440/458] learning_rate: 0.317663 loss_vfl: 1.369707 loss_bbox: 0.701486 loss_dfl: 0.496489 loss: 2.565459 eta: 1 day, 6:42:40 batch_cost: 0.8263 data_cost: 0.2433 ips: 77.4561 images/s
[03/18 12:05:18] ppdet.engine INFO: Epoch: [17] [  0/458] learning_rate: 0.317652 loss_vfl: 1.230402 loss_bbox: 0.638755 loss_dfl: 0.468873 loss: 2.362855 eta: 1 day, 6:43:39 batch_cost: 1.0285 data_cost: 0.3907 ips: 62.2248 images/s
[03/18 12:05:36] ppdet.engine INFO: Epoch: [17] [ 20/458] learning_rate: 0.317639 loss_vfl: 1.444468 loss_bbox: 0.731263 loss_dfl: 0.530366 loss: 2.723655 eta: 1 day, 6:42:53 batch_cost: 0.7653 data_cost: 0.0434 ips: 83.6279 images/s
[03/18 12:05:56] ppdet.engine INFO: Epoch: [17] [ 40/458] learning_rate: 0.317627 loss_vfl: 1.410018 loss_bbox: 0.700957 loss_dfl: 0.516387 loss: 2.650533 eta: 1 day, 6:42:33 batch_cost: 0.8446 data_cost: 0.1376 ips: 75.7745 images/s
[03/18 12:06:12] ppdet.engine INFO: Epoch: [17] [ 60/458] learning_rate: 0.317614 loss_vfl: 1.329139 loss_bbox: 0.688318 loss_dfl: 0.494520 loss: 2.518107 eta: 1 day, 6:41:17 batch_cost: 0.6757 data_cost: 0.0072 ips: 94.7166 images/s
[03/18 12:06:31] ppdet.engine INFO: Epoch: [17] [ 80/458] learning_rate: 0.317601 loss_vfl: 1.417487 loss_bbox: 0.684829 loss_dfl: 0.494623 loss: 2.596469 eta: 1 day, 6:40:54 batch_cost: 0.8341 data_cost: 0.0063 ips: 76.7332 images/s
[03/18 12:06:52] ppdet.engine INFO: Epoch: [17] [100/458] learning_rate: 0.317589 loss_vfl: 1.373857 loss_bbox: 0.677270 loss_dfl: 0.495822 loss: 2.559913 eta: 1 day, 6:40:50 batch_cost: 0.8924 data_cost: 0.0202 ips: 71.7177 images/s
[03/18 12:07:11] ppdet.engine INFO: Epoch: [17] [120/458] learning_rate: 0.317576 loss_vfl: 1.412111 loss_bbox: 0.676712 loss_dfl: 0.502624 loss: 2.628040 eta: 1 day, 6:40:29 batch_cost: 0.8430 data_cost: 0.0034 ips: 75.9197 images/s
[03/18 12:07:30] ppdet.engine INFO: Epoch: [17] [140/458] learning_rate: 0.317563 loss_vfl: 1.349411 loss_bbox: 0.654685 loss_dfl: 0.482970 loss: 2.473248 eta: 1 day, 6:40:25 batch_cost: 0.8926 data_cost: 0.0024 ips: 71.7021 images/s
[03/18 12:07:50] ppdet.engine INFO: Epoch: [17] [160/458] learning_rate: 0.317551 loss_vfl: 1.417639 loss_bbox: 0.709586 loss_dfl: 0.494388 loss: 2.584743 eta: 1 day, 6:40:23 batch_cost: 0.8982 data_cost: 0.0058 ips: 71.2567 images/s
[03/18 12:08:07] ppdet.engine INFO: Epoch: [17] [180/458] learning_rate: 0.317538 loss_vfl: 1.365312 loss_bbox: 0.667964 loss_dfl: 0.489455 loss: 2.489417 eta: 1 day, 6:39:18 batch_cost: 0.7046 data_cost: 0.0040 ips: 90.8318 images/s
[03/18 12:08:25] ppdet.engine INFO: Epoch: [17] [200/458] learning_rate: 0.317525 loss_vfl: 1.398101 loss_bbox: 0.685774 loss_dfl: 0.501726 loss: 2.568192 eta: 1 day, 6:38:51 batch_cost: 0.8228 data_cost: 0.0026 ips: 77.7790 images/s
[03/18 12:08:45] ppdet.engine INFO: Epoch: [17] [220/458] learning_rate: 0.317512 loss_vfl: 1.393734 loss_bbox: 0.708299 loss_dfl: 0.510839 loss: 2.604213 eta: 1 day, 6:38:38 batch_cost: 0.8637 data_cost: 0.0028 ips: 74.1007 images/s
[03/18 12:09:04] ppdet.engine INFO: Epoch: [17] [240/458] learning_rate: 0.317499 loss_vfl: 1.419700 loss_bbox: 0.705940 loss_dfl: 0.518059 loss: 2.652177 eta: 1 day, 6:38:20 batch_cost: 0.8520 data_cost: 0.0043 ips: 75.1194 images/s
[03/18 12:09:24] ppdet.engine INFO: Epoch: [17] [260/458] learning_rate: 0.317486 loss_vfl: 1.367041 loss_bbox: 0.642207 loss_dfl: 0.474708 loss: 2.441395 eta: 1 day, 6:37:59 batch_cost: 0.8381 data_cost: 0.0778 ips: 76.3630 images/s
[03/18 12:09:43] ppdet.engine INFO: Epoch: [17] [280/458] learning_rate: 0.317473 loss_vfl: 1.328871 loss_bbox: 0.655717 loss_dfl: 0.475414 loss: 2.490867 eta: 1 day, 6:37:42 batch_cost: 0.8541 data_cost: 0.0073 ips: 74.9327 images/s
[03/18 12:09:58] ppdet.engine INFO: Epoch: [17] [300/458] learning_rate: 0.317460 loss_vfl: 1.417183 loss_bbox: 0.720814 loss_dfl: 0.521492 loss: 2.629974 eta: 1 day, 6:36:19 batch_cost: 0.6455 data_cost: 0.0052 ips: 99.1542 images/s
[03/18 12:10:15] ppdet.engine INFO: Epoch: [17] [320/458] learning_rate: 0.317447 loss_vfl: 1.410744 loss_bbox: 0.667670 loss_dfl: 0.488949 loss: 2.572644 eta: 1 day, 6:35:19 batch_cost: 0.7192 data_cost: 0.0044 ips: 88.9921 images/s
[03/18 12:10:30] ppdet.engine INFO: Epoch: [17] [340/458] learning_rate: 0.317434 loss_vfl: 1.371069 loss_bbox: 0.698492 loss_dfl: 0.511276 loss: 2.607675 eta: 1 day, 6:34:04 batch_cost: 0.6670 data_cost: 0.0090 ips: 95.9567 images/s
[03/18 12:10:48] ppdet.engine INFO: Epoch: [17] [360/458] learning_rate: 0.317421 loss_vfl: 1.381854 loss_bbox: 0.701998 loss_dfl: 0.499511 loss: 2.563890 eta: 1 day, 6:33:31 batch_cost: 0.8036 data_cost: 0.0652 ips: 79.6412 images/s
[03/18 12:11:06] ppdet.engine INFO: Epoch: [17] [380/458] learning_rate: 0.317408 loss_vfl: 1.367541 loss_bbox: 0.704527 loss_dfl: 0.501978 loss: 2.536561 eta: 1 day, 6:32:37 batch_cost: 0.7342 data_cost: 0.0184 ips: 87.1725 images/s
[03/18 12:11:29] ppdet.engine INFO: Epoch: [17] [400/458] learning_rate: 0.317395 loss_vfl: 1.366373 loss_bbox: 0.639637 loss_dfl: 0.486561 loss: 2.461421 eta: 1 day, 6:33:12 batch_cost: 1.0137 data_cost: 0.0046 ips: 63.1371 images/s
[03/18 12:11:47] ppdet.engine INFO: Epoch: [17] [420/458] learning_rate: 0.317382 loss_vfl: 1.382957 loss_bbox: 0.690722 loss_dfl: 0.513028 loss: 2.589531 eta: 1 day, 6:32:41 batch_cost: 0.8075 data_cost: 0.0064 ips: 79.2610 images/s
[03/18 12:12:05] ppdet.engine INFO: Epoch: [17] [440/458] learning_rate: 0.317368 loss_vfl: 1.452546 loss_bbox: 0.703176 loss_dfl: 0.515025 loss: 2.694228 eta: 1 day, 6:32:02 batch_cost: 0.7821 data_cost: 0.0058 ips: 81.8314 images/s
[03/18 12:12:25] ppdet.engine INFO: Epoch: [18] [  0/458] learning_rate: 0.317356 loss_vfl: 1.386134 loss_bbox: 0.687165 loss_dfl: 0.493342 loss: 2.574197 eta: 1 day, 6:32:28 batch_cost: 0.9669 data_cost: 0.3010 ips: 66.1927 images/s
[03/18 12:12:45] ppdet.engine INFO: Epoch: [18] [ 20/458] learning_rate: 0.317343 loss_vfl: 1.371151 loss_bbox: 0.693700 loss_dfl: 0.515776 loss: 2.585735 eta: 1 day, 6:32:16 batch_cost: 0.8693 data_cost: 0.0296 ips: 73.6209 images/s
[03/18 12:13:04] ppdet.engine INFO: Epoch: [18] [ 40/458] learning_rate: 0.317330 loss_vfl: 1.355261 loss_bbox: 0.670627 loss_dfl: 0.503986 loss: 2.514240 eta: 1 day, 6:31:56 batch_cost: 0.8416 data_cost: 0.0017 ips: 76.0475 images/s
[03/18 12:13:22] ppdet.engine INFO: Epoch: [18] [ 60/458] learning_rate: 0.317316 loss_vfl: 1.396694 loss_bbox: 0.707436 loss_dfl: 0.509519 loss: 2.622506 eta: 1 day, 6:31:20 batch_cost: 0.7887 data_cost: 0.0003 ips: 81.1425 images/s
[03/18 12:13:42] ppdet.engine INFO: Epoch: [18] [ 80/458] learning_rate: 0.317303 loss_vfl: 1.273582 loss_bbox: 0.646577 loss_dfl: 0.472578 loss: 2.412870 eta: 1 day, 6:31:32 batch_cost: 0.9449 data_cost: 0.0042 ips: 67.7350 images/s
[03/18 12:14:00] ppdet.engine INFO: Epoch: [18] [100/458] learning_rate: 0.317290 loss_vfl: 1.363825 loss_bbox: 0.699784 loss_dfl: 0.510570 loss: 2.588030 eta: 1 day, 6:30:41 batch_cost: 0.7426 data_cost: 0.0003 ips: 86.1816 images/s
[03/18 12:14:21] ppdet.engine INFO: Epoch: [18] [120/458] learning_rate: 0.317276 loss_vfl: 1.358976 loss_bbox: 0.678982 loss_dfl: 0.505487 loss: 2.558925 eta: 1 day, 6:30:59 batch_cost: 0.9643 data_cost: 0.0013 ips: 66.3689 images/s
[03/18 12:14:39] ppdet.engine INFO: Epoch: [18] [140/458] learning_rate: 0.317263 loss_vfl: 1.301717 loss_bbox: 0.644981 loss_dfl: 0.465915 loss: 2.400466 eta: 1 day, 6:30:29 batch_cost: 0.8080 data_cost: 0.0009 ips: 79.2124 images/s
[03/18 12:14:59] ppdet.engine INFO: Epoch: [18] [160/458] learning_rate: 0.317249 loss_vfl: 1.414622 loss_bbox: 0.724537 loss_dfl: 0.522589 loss: 2.642355 eta: 1 day, 6:30:32 batch_cost: 0.9167 data_cost: 0.0028 ips: 69.8132 images/s
[03/18 12:15:19] ppdet.engine INFO: Epoch: [18] [180/458] learning_rate: 0.317236 loss_vfl: 1.409970 loss_bbox: 0.703833 loss_dfl: 0.504775 loss: 2.619824 eta: 1 day, 6:30:20 batch_cost: 0.8681 data_cost: 0.0053 ips: 73.7225 images/s
[03/18 12:15:39] ppdet.engine INFO: Epoch: [18] [200/458] learning_rate: 0.317222 loss_vfl: 1.366367 loss_bbox: 0.705709 loss_dfl: 0.525683 loss: 2.623972 eta: 1 day, 6:30:13 batch_cost: 0.8865 data_cost: 0.0035 ips: 72.1937 images/s
[03/18 12:16:00] ppdet.engine INFO: Epoch: [18] [220/458] learning_rate: 0.317208 loss_vfl: 1.347215 loss_bbox: 0.671499 loss_dfl: 0.484138 loss: 2.491540 eta: 1 day, 6:30:29 batch_cost: 0.9592 data_cost: 0.0042 ips: 66.7233 images/s
[03/18 12:16:17] ppdet.engine INFO: Epoch: [18] [240/458] learning_rate: 0.317195 loss_vfl: 1.315654 loss_bbox: 0.664658 loss_dfl: 0.486563 loss: 2.486806 eta: 1 day, 6:29:35 batch_cost: 0.7297 data_cost: 0.0087 ips: 87.7079 images/s
[03/18 12:16:37] ppdet.engine INFO: Epoch: [18] [260/458] learning_rate: 0.317181 loss_vfl: 1.450475 loss_bbox: 0.699392 loss_dfl: 0.517894 loss: 2.667483 eta: 1 day, 6:29:46 batch_cost: 0.9453 data_cost: 0.0048 ips: 67.7055 images/s
[03/18 12:16:57] ppdet.engine INFO: Epoch: [18] [280/458] learning_rate: 0.317167 loss_vfl: 1.306061 loss_bbox: 0.671167 loss_dfl: 0.496220 loss: 2.522571 eta: 1 day, 6:29:34 batch_cost: 0.8684 data_cost: 0.0011 ips: 73.7015 images/s
[03/18 12:17:12] ppdet.engine INFO: Epoch: [18] [300/458] learning_rate: 0.317154 loss_vfl: 1.426283 loss_bbox: 0.699688 loss_dfl: 0.511799 loss: 2.619744 eta: 1 day, 6:28:29 batch_cost: 0.6913 data_cost: 0.0063 ips: 92.5807 images/s
[03/18 12:17:26] ppdet.engine INFO: Epoch: [18] [320/458] learning_rate: 0.317140 loss_vfl: 1.358984 loss_bbox: 0.677373 loss_dfl: 0.495287 loss: 2.590890 eta: 1 day, 6:26:58 batch_cost: 0.6071 data_cost: 0.0029 ips: 105.4133 images/s
[03/18 12:17:43] ppdet.engine INFO: Epoch: [18] [340/458] learning_rate: 0.317126 loss_vfl: 1.374449 loss_bbox: 0.704523 loss_dfl: 0.506050 loss: 2.566043 eta: 1 day, 6:26:02 batch_cost: 0.7187 data_cost: 0.0067 ips: 89.0537 images/s
[03/18 12:18:02] ppdet.engine INFO: Epoch: [18] [360/458] learning_rate: 0.317112 loss_vfl: 1.388078 loss_bbox: 0.670682 loss_dfl: 0.489589 loss: 2.554870 eta: 1 day, 6:25:36 batch_cost: 0.8213 data_cost: 0.0041 ips: 77.9247 images/s
[03/18 12:18:23] ppdet.engine INFO: Epoch: [18] [380/458] learning_rate: 0.317098 loss_vfl: 1.369341 loss_bbox: 0.654858 loss_dfl: 0.487376 loss: 2.517949 eta: 1 day, 6:25:43 batch_cost: 0.9317 data_cost: 0.0065 ips: 68.6894 images/s
[03/18 12:18:41] ppdet.engine INFO: Epoch: [18] [400/458] learning_rate: 0.317084 loss_vfl: 1.449749 loss_bbox: 0.712636 loss_dfl: 0.522940 loss: 2.651176 eta: 1 day, 6:25:01 batch_cost: 0.7648 data_cost: 0.0052 ips: 83.6819 images/s
[03/18 12:19:00] ppdet.engine INFO: Epoch: [18] [420/458] learning_rate: 0.317070 loss_vfl: 1.372754 loss_bbox: 0.686906 loss_dfl: 0.499867 loss: 2.555871 eta: 1 day, 6:24:31 batch_cost: 0.8067 data_cost: 0.0045 ips: 79.3396 images/s
[03/18 12:19:20] ppdet.engine INFO: Epoch: [18] [440/458] learning_rate: 0.317056 loss_vfl: 1.391797 loss_bbox: 0.681681 loss_dfl: 0.493641 loss: 2.571795 eta: 1 day, 6:24:33 batch_cost: 0.9142 data_cost: 0.0050 ips: 70.0040 images/s
[03/18 12:19:42] ppdet.engine INFO: Epoch: [19] [  0/458] learning_rate: 0.317044 loss_vfl: 1.391618 loss_bbox: 0.687836 loss_dfl: 0.502613 loss: 2.561030 eta: 1 day, 6:25:16 batch_cost: 1.0569 data_cost: 0.3757 ips: 60.5522 images/s
[03/18 12:20:02] ppdet.engine INFO: Epoch: [19] [ 20/458] learning_rate: 0.317030 loss_vfl: 1.364570 loss_bbox: 0.709234 loss_dfl: 0.501838 loss: 2.551340 eta: 1 day, 6:25:19 batch_cost: 0.9170 data_cost: 0.1825 ips: 69.7923 images/s
[03/18 12:20:21] ppdet.engine INFO: Epoch: [19] [ 40/458] learning_rate: 0.317016 loss_vfl: 1.399468 loss_bbox: 0.732762 loss_dfl: 0.519057 loss: 2.638501 eta: 1 day, 6:24:56 batch_cost: 0.8325 data_cost: 0.1711 ips: 76.8798 images/s
[03/18 12:20:40] ppdet.engine INFO: Epoch: [19] [ 60/458] learning_rate: 0.317002 loss_vfl: 1.296428 loss_bbox: 0.658032 loss_dfl: 0.471134 loss: 2.412437 eta: 1 day, 6:24:29 batch_cost: 0.8155 data_cost: 0.1321 ips: 78.4800 images/s
[03/18 12:21:00] ppdet.engine INFO: Epoch: [19] [ 80/458] learning_rate: 0.316987 loss_vfl: 1.316442 loss_bbox: 0.671727 loss_dfl: 0.479403 loss: 2.408417 eta: 1 day, 6:24:32 batch_cost: 0.9213 data_cost: 0.3873 ips: 69.4706 images/s
[03/18 12:21:20] ppdet.engine INFO: Epoch: [19] [100/458] learning_rate: 0.316973 loss_vfl: 1.435717 loss_bbox: 0.687391 loss_dfl: 0.513663 loss: 2.685169 eta: 1 day, 6:24:11 batch_cost: 0.8345 data_cost: 0.1800 ips: 76.6944 images/s
[03/18 12:21:38] ppdet.engine INFO: Epoch: [19] [120/458] learning_rate: 0.316959 loss_vfl: 1.295807 loss_bbox: 0.666305 loss_dfl: 0.480384 loss: 2.449102 eta: 1 day, 6:23:32 batch_cost: 0.7763 data_cost: 0.1043 ips: 82.4408 images/s
[03/18 12:21:59] ppdet.engine INFO: Epoch: [19] [140/458] learning_rate: 0.316945 loss_vfl: 1.414101 loss_bbox: 0.693163 loss_dfl: 0.515568 loss: 2.663848 eta: 1 day, 6:23:37 batch_cost: 0.9271 data_cost: 0.2833 ips: 69.0296 images/s
[03/18 12:22:18] ppdet.engine INFO: Epoch: [19] [160/458] learning_rate: 0.316930 loss_vfl: 1.314924 loss_bbox: 0.647351 loss_dfl: 0.477126 loss: 2.427467 eta: 1 day, 6:23:06 batch_cost: 0.8040 data_cost: 0.1968 ips: 79.6037 images/s
[03/18 12:22:38] ppdet.engine INFO: Epoch: [19] [180/458] learning_rate: 0.316916 loss_vfl: 1.367241 loss_bbox: 0.681393 loss_dfl: 0.490424 loss: 2.498664 eta: 1 day, 6:22:52 batch_cost: 0.8591 data_cost: 0.1822 ips: 74.4936 images/s
[03/18 12:22:56] ppdet.engine INFO: Epoch: [19] [200/458] learning_rate: 0.316902 loss_vfl: 1.339804 loss_bbox: 0.688061 loss_dfl: 0.493551 loss: 2.530375 eta: 1 day, 6:22:12 batch_cost: 0.7740 data_cost: 0.1732 ips: 82.6889 images/s
[03/18 12:23:17] ppdet.engine INFO: Epoch: [19] [220/458] learning_rate: 0.316887 loss_vfl: 1.344021 loss_bbox: 0.687445 loss_dfl: 0.483476 loss: 2.481891 eta: 1 day, 6:22:23 batch_cost: 0.9475 data_cost: 0.3103 ips: 67.5431 images/s
[03/18 12:23:36] ppdet.engine INFO: Epoch: [19] [240/458] learning_rate: 0.316873 loss_vfl: 1.395578 loss_bbox: 0.684141 loss_dfl: 0.509298 loss: 2.586367 eta: 1 day, 6:21:57 batch_cost: 0.8182 data_cost: 0.1543 ips: 78.2233 images/s
[03/18 12:23:58] ppdet.engine INFO: Epoch: [19] [260/458] learning_rate: 0.316859 loss_vfl: 1.391104 loss_bbox: 0.646927 loss_dfl: 0.480786 loss: 2.501338 eta: 1 day, 6:22:13 batch_cost: 0.9691 data_cost: 0.3220 ips: 66.0387 images/s
[03/18 12:24:15] ppdet.engine INFO: Epoch: [19] [280/458] learning_rate: 0.316844 loss_vfl: 1.333807 loss_bbox: 0.655113 loss_dfl: 0.495418 loss: 2.516771 eta: 1 day, 6:21:15 batch_cost: 0.7076 data_cost: 0.0049 ips: 90.4407 images/s
[03/18 12:24:33] ppdet.engine INFO: Epoch: [19] [300/458] learning_rate: 0.316830 loss_vfl: 1.312341 loss_bbox: 0.626137 loss_dfl: 0.470373 loss: 2.447453 eta: 1 day, 6:20:44 batch_cost: 0.8001 data_cost: 0.0982 ips: 79.9887 images/s
[03/18 12:24:46] ppdet.engine INFO: Epoch: [19] [320/458] learning_rate: 0.316815 loss_vfl: 1.391334 loss_bbox: 0.711928 loss_dfl: 0.507739 loss: 2.642111 eta: 1 day, 6:19:09 batch_cost: 0.5782 data_cost: 0.0042 ips: 110.6958 images/s
[03/18 12:25:04] ppdet.engine INFO: Epoch: [19] [340/458] learning_rate: 0.316800 loss_vfl: 1.413343 loss_bbox: 0.699688 loss_dfl: 0.524073 loss: 2.641663 eta: 1 day, 6:18:30 batch_cost: 0.7732 data_cost: 0.1300 ips: 82.7736 images/s
[03/18 12:25:25] ppdet.engine INFO: Epoch: [19] [360/458] learning_rate: 0.316786 loss_vfl: 1.355882 loss_bbox: 0.676542 loss_dfl: 0.488541 loss: 2.500696 eta: 1 day, 6:18:33 batch_cost: 0.9178 data_cost: 0.2952 ips: 69.7316 images/s
[03/18 12:25:43] ppdet.engine INFO: Epoch: [19] [380/458] learning_rate: 0.316771 loss_vfl: 1.368005 loss_bbox: 0.694511 loss_dfl: 0.498685 loss: 2.565717 eta: 1 day, 6:17:49 batch_cost: 0.7545 data_cost: 0.2145 ips: 84.8296 images/s
[03/18 12:26:00] ppdet.engine INFO: Epoch: [19] [400/458] learning_rate: 0.316757 loss_vfl: 1.352676 loss_bbox: 0.667240 loss_dfl: 0.497919 loss: 2.501102 eta: 1 day, 6:16:51 batch_cost: 0.7050 data_cost: 0.1479 ips: 90.7837 images/s
[03/18 12:26:22] ppdet.engine INFO: Epoch: [19] [420/458] learning_rate: 0.316742 loss_vfl: 1.375806 loss_bbox: 0.694894 loss_dfl: 0.499032 loss: 2.566030 eta: 1 day, 6:17:05 batch_cost: 0.9611 data_cost: 0.3660 ips: 66.5912 images/s
[03/18 12:26:41] ppdet.engine INFO: Epoch: [19] [440/458] learning_rate: 0.316727 loss_vfl: 1.403008 loss_bbox: 0.673645 loss_dfl: 0.497126 loss: 2.566169 eta: 1 day, 6:16:33 batch_cost: 0.7959 data_cost: 0.0024 ips: 80.4143 images/s
[03/18 12:26:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 12:26:53] ppdet.engine INFO: Eval iter: 0
[03/18 12:27:15] ppdet.engine INFO: Eval iter: 100
[03/18 12:27:27] ppdet.engine INFO: Eval iter: 200
[03/18 12:27:39] ppdet.engine INFO: Eval iter: 300
[03/18 12:27:51] ppdet.engine INFO: Eval iter: 400
[03/18 12:28:03] ppdet.engine INFO: Eval iter: 500
[03/18 12:28:15] ppdet.engine INFO: Eval iter: 600
[03/18 12:28:29] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.58s)
creating index...
index created!
[03/18 12:28:30] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.34s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=76.32s).
Accumulating evaluation results...
DONE (t=16.18s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.147
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.241
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.153
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.037
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.132
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.262
 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 ] = 0.300
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.316
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.070
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.329
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.553
[03/18 12:30:09] ppdet.engine INFO: Total sample number: 4952, averge FPS: 58.165514689818785
[03/18 12:30:09] ppdet.engine INFO: Best test bbox ap is 0.147.
[03/18 12:30:09] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 12:30:09] ppdet.engine INFO: Epoch: [20] [  0/458] learning_rate: 0.316714 loss_vfl: 1.428414 loss_bbox: 0.656003 loss_dfl: 0.484081 loss: 2.599471 eta: 1 day, 6:14:51 batch_cost: 0.6196 data_cost: 0.0914 ips: 103.2844 images/s
[03/18 12:30:25] ppdet.engine INFO: Epoch: [20] [ 20/458] learning_rate: 0.316699 loss_vfl: 1.325156 loss_bbox: 0.667001 loss_dfl: 0.489784 loss: 2.453034 eta: 1 day, 6:13:28 batch_cost: 0.6138 data_cost: 0.0460 ips: 104.2649 images/s
[03/18 12:30:50] ppdet.engine INFO: Epoch: [20] [ 40/458] learning_rate: 0.316684 loss_vfl: 1.410971 loss_bbox: 0.705674 loss_dfl: 0.516027 loss: 2.611032 eta: 1 day, 6:14:38 batch_cost: 1.1585 data_cost: 0.3000 ips: 55.2459 images/s
[03/18 12:31:07] ppdet.engine INFO: Epoch: [20] [ 60/458] learning_rate: 0.316669 loss_vfl: 1.350809 loss_bbox: 0.696219 loss_dfl: 0.505213 loss: 2.563664 eta: 1 day, 6:13:47 batch_cost: 0.7272 data_cost: 0.1369 ips: 88.0093 images/s
[03/18 12:31:24] ppdet.engine INFO: Epoch: [20] [ 80/458] learning_rate: 0.316654 loss_vfl: 1.456213 loss_bbox: 0.727633 loss_dfl: 0.523249 loss: 2.688052 eta: 1 day, 6:13:00 batch_cost: 0.7412 data_cost: 0.1751 ips: 86.3478 images/s
[03/18 12:31:38] ppdet.engine INFO: Epoch: [20] [100/458] learning_rate: 0.316639 loss_vfl: 1.327020 loss_bbox: 0.681901 loss_dfl: 0.483472 loss: 2.485691 eta: 1 day, 6:11:27 batch_cost: 0.5757 data_cost: 0.0036 ips: 111.1748 images/s
[03/18 12:31:52] ppdet.engine INFO: Epoch: [20] [120/458] learning_rate: 0.316625 loss_vfl: 1.426114 loss_bbox: 0.735640 loss_dfl: 0.527175 loss: 2.653750 eta: 1 day, 6:10:04 batch_cost: 0.6069 data_cost: 0.0052 ips: 105.4624 images/s
[03/18 12:32:14] ppdet.engine INFO: Epoch: [20] [140/458] learning_rate: 0.316610 loss_vfl: 1.438552 loss_bbox: 0.726225 loss_dfl: 0.529481 loss: 2.694259 eta: 1 day, 6:10:09 batch_cost: 0.9269 data_cost: 0.0674 ips: 69.0451 images/s
[03/18 12:32:32] ppdet.engine INFO: Epoch: [20] [160/458] learning_rate: 0.316594 loss_vfl: 1.408411 loss_bbox: 0.712084 loss_dfl: 0.508416 loss: 2.621229 eta: 1 day, 6:09:28 batch_cost: 0.7612 data_cost: 0.0550 ips: 84.0830 images/s
[03/18 12:32:51] ppdet.engine INFO: Epoch: [20] [180/458] learning_rate: 0.316579 loss_vfl: 1.283235 loss_bbox: 0.660472 loss_dfl: 0.477412 loss: 2.411318 eta: 1 day, 6:08:58 batch_cost: 0.8005 data_cost: 0.2212 ips: 79.9467 images/s
[03/18 12:33:12] ppdet.engine INFO: Epoch: [20] [200/458] learning_rate: 0.316564 loss_vfl: 1.392673 loss_bbox: 0.714252 loss_dfl: 0.521314 loss: 2.594663 eta: 1 day, 6:09:02 batch_cost: 0.9232 data_cost: 0.3839 ips: 69.3259 images/s
[03/18 12:33:32] ppdet.engine INFO: Epoch: [20] [220/458] learning_rate: 0.316549 loss_vfl: 1.349723 loss_bbox: 0.641226 loss_dfl: 0.479865 loss: 2.459803 eta: 1 day, 6:08:47 batch_cost: 0.8549 data_cost: 0.1547 ips: 74.8656 images/s
[03/18 12:33:50] ppdet.engine INFO: Epoch: [20] [240/458] learning_rate: 0.316534 loss_vfl: 1.382727 loss_bbox: 0.730587 loss_dfl: 0.517363 loss: 2.662936 eta: 1 day, 6:08:13 batch_cost: 0.7870 data_cost: 0.0823 ips: 81.3242 images/s
[03/18 12:34:11] ppdet.engine INFO: Epoch: [20] [260/458] learning_rate: 0.316519 loss_vfl: 1.285416 loss_bbox: 0.643323 loss_dfl: 0.465162 loss: 2.404212 eta: 1 day, 6:08:04 batch_cost: 0.8757 data_cost: 0.0565 ips: 73.0824 images/s
[03/18 12:34:30] ppdet.engine INFO: Epoch: [20] [280/458] learning_rate: 0.316504 loss_vfl: 1.371211 loss_bbox: 0.667696 loss_dfl: 0.484161 loss: 2.516718 eta: 1 day, 6:07:48 batch_cost: 0.8520 data_cost: 0.0860 ips: 75.1141 images/s
[03/18 12:34:50] ppdet.engine INFO: Epoch: [20] [300/458] learning_rate: 0.316488 loss_vfl: 1.311712 loss_bbox: 0.672309 loss_dfl: 0.485410 loss: 2.479088 eta: 1 day, 6:07:44 batch_cost: 0.8941 data_cost: 0.2085 ips: 71.5811 images/s
[03/18 12:35:10] ppdet.engine INFO: Epoch: [20] [320/458] learning_rate: 0.316473 loss_vfl: 1.344098 loss_bbox: 0.686120 loss_dfl: 0.493805 loss: 2.501443 eta: 1 day, 6:07:24 batch_cost: 0.8379 data_cost: 0.2029 ips: 76.3801 images/s
[03/18 12:35:27] ppdet.engine INFO: Epoch: [20] [340/458] learning_rate: 0.316458 loss_vfl: 1.282524 loss_bbox: 0.674097 loss_dfl: 0.488240 loss: 2.450540 eta: 1 day, 6:06:37 batch_cost: 0.7373 data_cost: 0.2173 ips: 86.8075 images/s
[03/18 12:35:49] ppdet.engine INFO: Epoch: [20] [360/458] learning_rate: 0.316442 loss_vfl: 1.465583 loss_bbox: 0.710437 loss_dfl: 0.517620 loss: 2.704152 eta: 1 day, 6:06:56 batch_cost: 0.9790 data_cost: 0.3731 ips: 65.3717 images/s
[03/18 12:36:08] ppdet.engine INFO: Epoch: [20] [380/458] learning_rate: 0.316427 loss_vfl: 1.361254 loss_bbox: 0.657678 loss_dfl: 0.486087 loss: 2.514991 eta: 1 day, 6:06:34 batch_cost: 0.8311 data_cost: 0.2767 ips: 77.0043 images/s
[03/18 12:36:27] ppdet.engine INFO: Epoch: [20] [400/458] learning_rate: 0.316412 loss_vfl: 1.371157 loss_bbox: 0.689701 loss_dfl: 0.513178 loss: 2.556832 eta: 1 day, 6:06:11 batch_cost: 0.8238 data_cost: 0.2086 ips: 77.6873 images/s
[03/18 12:36:48] ppdet.engine INFO: Epoch: [20] [420/458] learning_rate: 0.316396 loss_vfl: 1.342923 loss_bbox: 0.695871 loss_dfl: 0.492189 loss: 2.511989 eta: 1 day, 6:06:06 batch_cost: 0.8934 data_cost: 0.1821 ips: 71.6334 images/s
[03/18 12:37:08] ppdet.engine INFO: Epoch: [20] [440/458] learning_rate: 0.316381 loss_vfl: 1.369648 loss_bbox: 0.658855 loss_dfl: 0.480109 loss: 2.528914 eta: 1 day, 6:05:50 batch_cost: 0.8505 data_cost: 0.2090 ips: 75.2493 images/s
[03/18 12:37:28] ppdet.engine INFO: Epoch: [21] [  0/458] learning_rate: 0.316367 loss_vfl: 1.355967 loss_bbox: 0.666691 loss_dfl: 0.490091 loss: 2.521187 eta: 1 day, 6:05:56 batch_cost: 0.8919 data_cost: 0.3917 ips: 71.7530 images/s
[03/18 12:37:48] ppdet.engine INFO: Epoch: [21] [ 20/458] learning_rate: 0.316351 loss_vfl: 1.275925 loss_bbox: 0.663768 loss_dfl: 0.478985 loss: 2.414968 eta: 1 day, 6:05:42 batch_cost: 0.8606 data_cost: 0.1799 ips: 74.3706 images/s
[03/18 12:38:09] ppdet.engine INFO: Epoch: [21] [ 40/458] learning_rate: 0.316335 loss_vfl: 1.358822 loss_bbox: 0.661261 loss_dfl: 0.489823 loss: 2.510778 eta: 1 day, 6:05:54 batch_cost: 0.9583 data_cost: 0.0029 ips: 66.7821 images/s
[03/18 12:38:30] ppdet.engine INFO: Epoch: [21] [ 60/458] learning_rate: 0.316320 loss_vfl: 1.285428 loss_bbox: 0.649275 loss_dfl: 0.472735 loss: 2.421674 eta: 1 day, 6:05:42 batch_cost: 0.8649 data_cost: 0.0026 ips: 73.9980 images/s
[03/18 12:38:45] ppdet.engine INFO: Epoch: [21] [ 80/458] learning_rate: 0.316304 loss_vfl: 1.453541 loss_bbox: 0.734501 loss_dfl: 0.527565 loss: 2.740286 eta: 1 day, 6:04:25 batch_cost: 0.6191 data_cost: 0.0015 ips: 103.3742 images/s
[03/18 12:39:01] ppdet.engine INFO: Epoch: [21] [100/458] learning_rate: 0.316289 loss_vfl: 1.441364 loss_bbox: 0.694117 loss_dfl: 0.505238 loss: 2.650143 eta: 1 day, 6:03:33 batch_cost: 0.7150 data_cost: 0.0029 ips: 89.5145 images/s
[03/18 12:39:21] ppdet.engine INFO: Epoch: [21] [120/458] learning_rate: 0.316273 loss_vfl: 1.364615 loss_bbox: 0.685955 loss_dfl: 0.498650 loss: 2.526880 eta: 1 day, 6:03:17 batch_cost: 0.8536 data_cost: 0.1412 ips: 74.9788 images/s
[03/18 12:39:42] ppdet.engine INFO: Epoch: [21] [140/458] learning_rate: 0.316257 loss_vfl: 1.329125 loss_bbox: 0.635160 loss_dfl: 0.476866 loss: 2.464921 eta: 1 day, 6:03:18 batch_cost: 0.9149 data_cost: 0.2945 ips: 69.9544 images/s
[03/18 12:40:03] ppdet.engine INFO: Epoch: [21] [160/458] learning_rate: 0.316241 loss_vfl: 1.273534 loss_bbox: 0.672668 loss_dfl: 0.490453 loss: 2.444839 eta: 1 day, 6:03:26 batch_cost: 0.9445 data_cost: 0.3747 ips: 67.7610 images/s
[03/18 12:40:23] ppdet.engine INFO: Epoch: [21] [180/458] learning_rate: 0.316225 loss_vfl: 1.376064 loss_bbox: 0.666260 loss_dfl: 0.483894 loss: 2.544685 eta: 1 day, 6:03:13 batch_cost: 0.8630 data_cost: 0.3760 ips: 74.1636 images/s
[03/18 12:40:41] ppdet.engine INFO: Epoch: [21] [200/458] learning_rate: 0.316210 loss_vfl: 1.365427 loss_bbox: 0.704866 loss_dfl: 0.507478 loss: 2.582158 eta: 1 day, 6:02:25 batch_cost: 0.7288 data_cost: 0.1075 ips: 87.8205 images/s
[03/18 12:41:04] ppdet.engine INFO: Epoch: [21] [220/458] learning_rate: 0.316194 loss_vfl: 1.339271 loss_bbox: 0.679716 loss_dfl: 0.502332 loss: 2.494755 eta: 1 day, 6:02:47 batch_cost: 0.9943 data_cost: 0.1774 ips: 64.3663 images/s
[03/18 12:41:26] ppdet.engine INFO: Epoch: [21] [240/458] learning_rate: 0.316178 loss_vfl: 1.388731 loss_bbox: 0.683624 loss_dfl: 0.491121 loss: 2.560802 eta: 1 day, 6:02:54 batch_cost: 0.9419 data_cost: 0.1392 ips: 67.9462 images/s
[03/18 12:41:44] ppdet.engine INFO: Epoch: [21] [260/458] learning_rate: 0.316162 loss_vfl: 1.289623 loss_bbox: 0.666578 loss_dfl: 0.484173 loss: 2.456468 eta: 1 day, 6:02:23 batch_cost: 0.7937 data_cost: 0.2736 ips: 80.6321 images/s
[03/18 12:42:06] ppdet.engine INFO: Epoch: [21] [280/458] learning_rate: 0.316146 loss_vfl: 1.350217 loss_bbox: 0.692412 loss_dfl: 0.499299 loss: 2.561970 eta: 1 day, 6:02:34 batch_cost: 0.9590 data_cost: 0.0044 ips: 66.7355 images/s
[03/18 12:42:26] ppdet.engine INFO: Epoch: [21] [300/458] learning_rate: 0.316130 loss_vfl: 1.378334 loss_bbox: 0.689631 loss_dfl: 0.502514 loss: 2.543241 eta: 1 day, 6:02:32 batch_cost: 0.9042 data_cost: 0.0028 ips: 70.7782 images/s
[03/18 12:42:48] ppdet.engine INFO: Epoch: [21] [320/458] learning_rate: 0.316114 loss_vfl: 1.452294 loss_bbox: 0.695055 loss_dfl: 0.514900 loss: 2.698648 eta: 1 day, 6:02:33 batch_cost: 0.9190 data_cost: 0.0018 ips: 69.6421 images/s
[03/18 12:43:08] ppdet.engine INFO: Epoch: [21] [340/458] learning_rate: 0.316098 loss_vfl: 1.349710 loss_bbox: 0.677892 loss_dfl: 0.492137 loss: 2.539271 eta: 1 day, 6:02:08 batch_cost: 0.8160 data_cost: 0.2359 ips: 78.4326 images/s
[03/18 12:43:32] ppdet.engine INFO: Epoch: [21] [360/458] learning_rate: 0.316082 loss_vfl: 1.347883 loss_bbox: 0.661513 loss_dfl: 0.484719 loss: 2.506971 eta: 1 day, 6:02:44 batch_cost: 1.0578 data_cost: 0.4757 ips: 60.5016 images/s
[03/18 12:43:51] ppdet.engine INFO: Epoch: [21] [380/458] learning_rate: 0.316065 loss_vfl: 1.368580 loss_bbox: 0.673484 loss_dfl: 0.494876 loss: 2.522881 eta: 1 day, 6:02:19 batch_cost: 0.8182 data_cost: 0.2471 ips: 78.2199 images/s
[03/18 12:44:08] ppdet.engine INFO: Epoch: [21] [400/458] learning_rate: 0.316049 loss_vfl: 1.314610 loss_bbox: 0.638093 loss_dfl: 0.474871 loss: 2.398741 eta: 1 day, 6:01:36 batch_cost: 0.7460 data_cost: 0.2171 ips: 85.7887 images/s
[03/18 12:44:33] ppdet.engine INFO: Epoch: [21] [420/458] learning_rate: 0.316033 loss_vfl: 1.386847 loss_bbox: 0.676289 loss_dfl: 0.499678 loss: 2.570863 eta: 1 day, 6:02:39 batch_cost: 1.1614 data_cost: 0.6129 ips: 55.1036 images/s
[03/18 12:44:52] ppdet.engine INFO: Epoch: [21] [440/458] learning_rate: 0.316017 loss_vfl: 1.359998 loss_bbox: 0.691595 loss_dfl: 0.506422 loss: 2.555571 eta: 1 day, 6:02:28 batch_cost: 0.8755 data_cost: 0.3355 ips: 73.0980 images/s
[03/18 12:45:14] ppdet.engine INFO: Epoch: [22] [  0/458] learning_rate: 0.316002 loss_vfl: 1.364295 loss_bbox: 0.665839 loss_dfl: 0.497212 loss: 2.519739 eta: 1 day, 6:02:53 batch_cost: 0.9788 data_cost: 0.5216 ips: 65.3837 images/s
[03/18 12:45:30] ppdet.engine INFO: Epoch: [22] [ 20/458] learning_rate: 0.315986 loss_vfl: 1.276614 loss_bbox: 0.649499 loss_dfl: 0.472878 loss: 2.350757 eta: 1 day, 6:01:51 batch_cost: 0.6728 data_cost: 0.0681 ips: 95.1243 images/s
[03/18 12:45:47] ppdet.engine INFO: Epoch: [22] [ 40/458] learning_rate: 0.315970 loss_vfl: 1.326176 loss_bbox: 0.663188 loss_dfl: 0.480098 loss: 2.469765 eta: 1 day, 6:00:56 batch_cost: 0.6982 data_cost: 0.0609 ips: 91.6599 images/s
[03/18 12:46:03] ppdet.engine INFO: Epoch: [22] [ 60/458] learning_rate: 0.315953 loss_vfl: 1.363871 loss_bbox: 0.688699 loss_dfl: 0.504908 loss: 2.565032 eta: 1 day, 5:59:52 batch_cost: 0.6616 data_cost: 0.0062 ips: 96.7389 images/s
[03/18 12:46:22] ppdet.engine INFO: Epoch: [22] [ 80/458] learning_rate: 0.315937 loss_vfl: 1.334669 loss_bbox: 0.677923 loss_dfl: 0.490597 loss: 2.489104 eta: 1 day, 5:59:44 batch_cost: 0.8819 data_cost: 0.0091 ips: 72.5691 images/s
[03/18 12:46:43] ppdet.engine INFO: Epoch: [22] [100/458] learning_rate: 0.315920 loss_vfl: 1.335801 loss_bbox: 0.662426 loss_dfl: 0.491953 loss: 2.505980 eta: 1 day, 5:59:31 batch_cost: 0.8654 data_cost: 0.2929 ips: 73.9570 images/s
[03/18 12:47:03] ppdet.engine INFO: Epoch: [22] [120/458] learning_rate: 0.315904 loss_vfl: 1.288548 loss_bbox: 0.653996 loss_dfl: 0.469146 loss: 2.427892 eta: 1 day, 5:59:14 batch_cost: 0.8487 data_cost: 0.2960 ips: 75.4136 images/s
[03/18 12:47:21] ppdet.engine INFO: Epoch: [22] [140/458] learning_rate: 0.315887 loss_vfl: 1.356224 loss_bbox: 0.677488 loss_dfl: 0.489960 loss: 2.526332 eta: 1 day, 5:58:42 batch_cost: 0.7875 data_cost: 0.0418 ips: 81.2706 images/s
[03/18 12:47:42] ppdet.engine INFO: Epoch: [22] [160/458] learning_rate: 0.315871 loss_vfl: 1.336055 loss_bbox: 0.659704 loss_dfl: 0.486719 loss: 2.492950 eta: 1 day, 5:58:46 batch_cost: 0.9349 data_cost: 0.0572 ips: 68.4540 images/s
[03/18 12:48:03] ppdet.engine INFO: Epoch: [22] [180/458] learning_rate: 0.315854 loss_vfl: 1.300603 loss_bbox: 0.654728 loss_dfl: 0.476869 loss: 2.423135 eta: 1 day, 5:58:29 batch_cost: 0.8471 data_cost: 0.0064 ips: 75.5481 images/s
[03/18 12:48:21] ppdet.engine INFO: Epoch: [22] [200/458] learning_rate: 0.315838 loss_vfl: 1.321988 loss_bbox: 0.653737 loss_dfl: 0.480660 loss: 2.458654 eta: 1 day, 5:58:00 batch_cost: 0.8005 data_cost: 0.0032 ips: 79.9522 images/s
[03/18 12:48:42] ppdet.engine INFO: Epoch: [22] [220/458] learning_rate: 0.315821 loss_vfl: 1.358948 loss_bbox: 0.669058 loss_dfl: 0.487814 loss: 2.475697 eta: 1 day, 5:57:57 batch_cost: 0.9044 data_cost: 0.1084 ips: 70.7674 images/s
[03/18 12:49:02] ppdet.engine INFO: Epoch: [22] [240/458] learning_rate: 0.315804 loss_vfl: 1.386970 loss_bbox: 0.686096 loss_dfl: 0.498407 loss: 2.557126 eta: 1 day, 5:57:35 batch_cost: 0.8310 data_cost: 0.0031 ips: 77.0120 images/s
[03/18 12:49:24] ppdet.engine INFO: Epoch: [22] [260/458] learning_rate: 0.315788 loss_vfl: 1.345232 loss_bbox: 0.682770 loss_dfl: 0.489894 loss: 2.481585 eta: 1 day, 5:57:51 batch_cost: 0.9832 data_cost: 0.0020 ips: 65.0957 images/s
[03/18 12:49:42] ppdet.engine INFO: Epoch: [22] [280/458] learning_rate: 0.315771 loss_vfl: 1.331451 loss_bbox: 0.688203 loss_dfl: 0.508725 loss: 2.518708 eta: 1 day, 5:57:15 batch_cost: 0.7701 data_cost: 0.0225 ips: 83.1057 images/s
[03/18 12:50:02] ppdet.engine INFO: Epoch: [22] [300/458] learning_rate: 0.315754 loss_vfl: 1.344812 loss_bbox: 0.670011 loss_dfl: 0.492655 loss: 2.523520 eta: 1 day, 5:57:13 batch_cost: 0.9100 data_cost: 0.0077 ips: 70.3301 images/s
[03/18 12:50:22] ppdet.engine INFO: Epoch: [22] [320/458] learning_rate: 0.315737 loss_vfl: 1.394812 loss_bbox: 0.755693 loss_dfl: 0.545872 loss: 2.691627 eta: 1 day, 5:56:51 batch_cost: 0.8265 data_cost: 0.1085 ips: 77.4351 images/s
[03/18 12:50:42] ppdet.engine INFO: Epoch: [22] [340/458] learning_rate: 0.315721 loss_vfl: 1.310113 loss_bbox: 0.661882 loss_dfl: 0.467589 loss: 2.440540 eta: 1 day, 5:56:47 batch_cost: 0.9021 data_cost: 0.2703 ips: 70.9430 images/s
[03/18 12:51:00] ppdet.engine INFO: Epoch: [22] [360/458] learning_rate: 0.315704 loss_vfl: 1.372304 loss_bbox: 0.689982 loss_dfl: 0.500088 loss: 2.539897 eta: 1 day, 5:56:09 batch_cost: 0.7630 data_cost: 0.1291 ips: 83.8837 images/s
[03/18 12:51:23] ppdet.engine INFO: Epoch: [22] [380/458] learning_rate: 0.315687 loss_vfl: 1.341238 loss_bbox: 0.659815 loss_dfl: 0.486122 loss: 2.466453 eta: 1 day, 5:56:26 batch_cost: 0.9885 data_cost: 0.0024 ips: 64.7446 images/s
[03/18 12:51:39] ppdet.engine INFO: Epoch: [22] [400/458] learning_rate: 0.315670 loss_vfl: 1.371095 loss_bbox: 0.678166 loss_dfl: 0.494749 loss: 2.570237 eta: 1 day, 5:55:27 batch_cost: 0.6786 data_cost: 0.0022 ips: 94.3179 images/s
[03/18 12:52:00] ppdet.engine INFO: Epoch: [22] [420/458] learning_rate: 0.315653 loss_vfl: 1.353841 loss_bbox: 0.660671 loss_dfl: 0.492156 loss: 2.533476 eta: 1 day, 5:55:24 batch_cost: 0.9055 data_cost: 0.3748 ips: 70.6773 images/s
[03/18 12:52:21] ppdet.engine INFO: Epoch: [22] [440/458] learning_rate: 0.315636 loss_vfl: 1.334257 loss_bbox: 0.677339 loss_dfl: 0.496851 loss: 2.508345 eta: 1 day, 5:55:28 batch_cost: 0.9371 data_cost: 0.2201 ips: 68.2975 images/s
[03/18 12:52:40] ppdet.engine INFO: Epoch: [23] [  0/458] learning_rate: 0.315621 loss_vfl: 1.356611 loss_bbox: 0.678724 loss_dfl: 0.502223 loss: 2.516540 eta: 1 day, 5:55:35 batch_cost: 0.9175 data_cost: 0.3450 ips: 69.7537 images/s
[03/18 12:52:57] ppdet.engine INFO: Epoch: [23] [ 20/458] learning_rate: 0.315604 loss_vfl: 1.385703 loss_bbox: 0.667065 loss_dfl: 0.504514 loss: 2.577382 eta: 1 day, 5:54:52 batch_cost: 0.7383 data_cost: 0.0425 ips: 86.6863 images/s
[03/18 12:53:12] ppdet.engine INFO: Epoch: [23] [ 40/458] learning_rate: 0.315586 loss_vfl: 1.356108 loss_bbox: 0.668313 loss_dfl: 0.490011 loss: 2.495543 eta: 1 day, 5:53:37 batch_cost: 0.6068 data_cost: 0.0670 ips: 105.4642 images/s
[03/18 12:53:34] ppdet.engine INFO: Epoch: [23] [ 60/458] learning_rate: 0.315569 loss_vfl: 1.310976 loss_bbox: 0.661328 loss_dfl: 0.479581 loss: 2.442902 eta: 1 day, 5:53:51 batch_cost: 0.9796 data_cost: 0.0789 ips: 65.3319 images/s
[03/18 12:53:52] ppdet.engine INFO: Epoch: [23] [ 80/458] learning_rate: 0.315552 loss_vfl: 1.310278 loss_bbox: 0.658696 loss_dfl: 0.473539 loss: 2.455488 eta: 1 day, 5:53:21 batch_cost: 0.7950 data_cost: 0.0087 ips: 80.5008 images/s
[03/18 12:54:13] ppdet.engine INFO: Epoch: [23] [100/458] learning_rate: 0.315535 loss_vfl: 1.368296 loss_bbox: 0.676621 loss_dfl: 0.505887 loss: 2.577921 eta: 1 day, 5:53:21 batch_cost: 0.9174 data_cost: 0.0025 ips: 69.7602 images/s
[03/18 12:54:30] ppdet.engine INFO: Epoch: [23] [120/458] learning_rate: 0.315518 loss_vfl: 1.373152 loss_bbox: 0.697273 loss_dfl: 0.503946 loss: 2.571727 eta: 1 day, 5:52:32 batch_cost: 0.7142 data_cost: 0.0028 ips: 89.6147 images/s
[03/18 12:54:50] ppdet.engine INFO: Epoch: [23] [140/458] learning_rate: 0.315501 loss_vfl: 1.270595 loss_bbox: 0.668345 loss_dfl: 0.483575 loss: 2.414522 eta: 1 day, 5:52:17 batch_cost: 0.8573 data_cost: 0.0864 ips: 74.6547 images/s
[03/18 12:55:09] ppdet.engine INFO: Epoch: [23] [160/458] learning_rate: 0.315483 loss_vfl: 1.348484 loss_bbox: 0.701713 loss_dfl: 0.503922 loss: 2.555373 eta: 1 day, 5:51:44 batch_cost: 0.7822 data_cost: 0.0868 ips: 81.8189 images/s
[03/18 12:55:29] ppdet.engine INFO: Epoch: [23] [180/458] learning_rate: 0.315466 loss_vfl: 1.327307 loss_bbox: 0.673325 loss_dfl: 0.493878 loss: 2.516592 eta: 1 day, 5:51:25 batch_cost: 0.8396 data_cost: 0.0368 ips: 76.2306 images/s
[03/18 12:55:49] ppdet.engine INFO: Epoch: [23] [200/458] learning_rate: 0.315449 loss_vfl: 1.374947 loss_bbox: 0.692427 loss_dfl: 0.510355 loss: 2.624515 eta: 1 day, 5:51:25 batch_cost: 0.9195 data_cost: 0.0092 ips: 69.6035 images/s
[03/18 12:56:09] ppdet.engine INFO: Epoch: [23] [220/458] learning_rate: 0.315431 loss_vfl: 1.358017 loss_bbox: 0.691209 loss_dfl: 0.499669 loss: 2.571438 eta: 1 day, 5:51:21 batch_cost: 0.9049 data_cost: 0.0031 ips: 70.7230 images/s
[03/18 12:56:25] ppdet.engine INFO: Epoch: [23] [240/458] learning_rate: 0.315414 loss_vfl: 1.360121 loss_bbox: 0.695796 loss_dfl: 0.513122 loss: 2.576876 eta: 1 day, 5:50:24 batch_cost: 0.6770 data_cost: 0.0021 ips: 94.5366 images/s
[03/18 12:56:44] ppdet.engine INFO: Epoch: [23] [260/458] learning_rate: 0.315396 loss_vfl: 1.356967 loss_bbox: 0.659842 loss_dfl: 0.490340 loss: 2.505223 eta: 1 day, 5:50:05 batch_cost: 0.8399 data_cost: 0.1890 ips: 76.1959 images/s
[03/18 12:57:04] ppdet.engine INFO: Epoch: [23] [280/458] learning_rate: 0.315379 loss_vfl: 1.368791 loss_bbox: 0.685020 loss_dfl: 0.499101 loss: 2.593607 eta: 1 day, 5:49:56 batch_cost: 0.8832 data_cost: 0.1537 ips: 72.4620 images/s
[03/18 12:57:24] ppdet.engine INFO: Epoch: [23] [300/458] learning_rate: 0.315361 loss_vfl: 1.384751 loss_bbox: 0.655299 loss_dfl: 0.482540 loss: 2.541342 eta: 1 day, 5:49:29 batch_cost: 0.8072 data_cost: 0.0242 ips: 79.2820 images/s
[03/18 12:57:44] ppdet.engine INFO: Epoch: [23] [320/458] learning_rate: 0.315344 loss_vfl: 1.402065 loss_bbox: 0.690863 loss_dfl: 0.498803 loss: 2.576871 eta: 1 day, 5:49:14 batch_cost: 0.8551 data_cost: 0.1160 ips: 74.8492 images/s
[03/18 12:58:02] ppdet.engine INFO: Epoch: [23] [340/458] learning_rate: 0.315326 loss_vfl: 1.367285 loss_bbox: 0.673766 loss_dfl: 0.485854 loss: 2.526906 eta: 1 day, 5:48:35 batch_cost: 0.7560 data_cost: 0.2260 ips: 84.6589 images/s
[03/18 12:58:24] ppdet.engine INFO: Epoch: [23] [360/458] learning_rate: 0.315309 loss_vfl: 1.301445 loss_bbox: 0.643983 loss_dfl: 0.474097 loss: 2.439409 eta: 1 day, 5:48:49 batch_cost: 0.9776 data_cost: 0.0860 ips: 65.4648 images/s
[03/18 12:58:45] ppdet.engine INFO: Epoch: [23] [380/458] learning_rate: 0.315291 loss_vfl: 1.298458 loss_bbox: 0.649307 loss_dfl: 0.466335 loss: 2.409427 eta: 1 day, 5:48:53 batch_cost: 0.9408 data_cost: 0.0170 ips: 68.0290 images/s
[03/18 12:59:05] ppdet.engine INFO: Epoch: [23] [400/458] learning_rate: 0.315273 loss_vfl: 1.332361 loss_bbox: 0.664362 loss_dfl: 0.495639 loss: 2.484623 eta: 1 day, 5:48:55 batch_cost: 0.9328 data_cost: 0.0351 ips: 68.6076 images/s
[03/18 12:59:24] ppdet.engine INFO: Epoch: [23] [420/458] learning_rate: 0.315256 loss_vfl: 1.345497 loss_bbox: 0.691566 loss_dfl: 0.501903 loss: 2.536977 eta: 1 day, 5:48:38 batch_cost: 0.8483 data_cost: 0.0110 ips: 75.4445 images/s
[03/18 12:59:44] ppdet.engine INFO: Epoch: [23] [440/458] learning_rate: 0.315238 loss_vfl: 1.373553 loss_bbox: 0.651273 loss_dfl: 0.491456 loss: 2.564608 eta: 1 day, 5:48:29 batch_cost: 0.8804 data_cost: 0.0026 ips: 72.6917 images/s
[03/18 12:59:59] ppdet.engine INFO: Epoch: [24] [  0/458] learning_rate: 0.315222 loss_vfl: 1.402548 loss_bbox: 0.701886 loss_dfl: 0.503951 loss: 2.573789 eta: 1 day, 5:47:37 batch_cost: 0.7675 data_cost: 0.2287 ips: 83.3925 images/s
[03/18 13:00:15] ppdet.engine INFO: Epoch: [24] [ 20/458] learning_rate: 0.315204 loss_vfl: 1.328578 loss_bbox: 0.699426 loss_dfl: 0.500086 loss: 2.511890 eta: 1 day, 5:46:53 batch_cost: 0.7325 data_cost: 0.0398 ips: 87.3668 images/s
[03/18 13:00:32] ppdet.engine INFO: Epoch: [24] [ 40/458] learning_rate: 0.315186 loss_vfl: 1.379880 loss_bbox: 0.684164 loss_dfl: 0.499185 loss: 2.551726 eta: 1 day, 5:46:07 batch_cost: 0.7235 data_cost: 0.0041 ips: 88.4619 images/s
[03/18 13:00:52] ppdet.engine INFO: Epoch: [24] [ 60/458] learning_rate: 0.315168 loss_vfl: 1.320011 loss_bbox: 0.684396 loss_dfl: 0.498690 loss: 2.520570 eta: 1 day, 5:45:58 batch_cost: 0.8794 data_cost: 0.0028 ips: 72.7767 images/s
[03/18 13:01:13] ppdet.engine INFO: Epoch: [24] [ 80/458] learning_rate: 0.315150 loss_vfl: 1.397601 loss_bbox: 0.711605 loss_dfl: 0.520548 loss: 2.658489 eta: 1 day, 5:46:10 batch_cost: 0.9758 data_cost: 0.0126 ips: 65.5864 images/s
[03/18 13:01:34] ppdet.engine INFO: Epoch: [24] [100/458] learning_rate: 0.315133 loss_vfl: 1.255339 loss_bbox: 0.626333 loss_dfl: 0.461459 loss: 2.368793 eta: 1 day, 5:46:23 batch_cost: 0.9784 data_cost: 0.0003 ips: 65.4101 images/s
[03/18 13:01:55] ppdet.engine INFO: Epoch: [24] [120/458] learning_rate: 0.315115 loss_vfl: 1.347934 loss_bbox: 0.675755 loss_dfl: 0.490641 loss: 2.514037 eta: 1 day, 5:46:23 batch_cost: 0.9249 data_cost: 0.0023 ips: 69.1968 images/s
[03/18 13:02:15] ppdet.engine INFO: Epoch: [24] [140/458] learning_rate: 0.315097 loss_vfl: 1.384194 loss_bbox: 0.665535 loss_dfl: 0.488117 loss: 2.577653 eta: 1 day, 5:46:11 batch_cost: 0.8694 data_cost: 0.0020 ips: 73.6181 images/s
[03/18 13:02:32] ppdet.engine INFO: Epoch: [24] [160/458] learning_rate: 0.315079 loss_vfl: 1.343021 loss_bbox: 0.659191 loss_dfl: 0.483642 loss: 2.478902 eta: 1 day, 5:45:38 batch_cost: 0.7812 data_cost: 0.0044 ips: 81.9273 images/s
[03/18 13:02:51] ppdet.engine INFO: Epoch: [24] [180/458] learning_rate: 0.315060 loss_vfl: 1.391904 loss_bbox: 0.714869 loss_dfl: 0.505925 loss: 2.617468 eta: 1 day, 5:45:16 batch_cost: 0.8251 data_cost: 0.0084 ips: 77.5657 images/s
[03/18 13:03:10] ppdet.engine INFO: Epoch: [24] [200/458] learning_rate: 0.315042 loss_vfl: 1.284702 loss_bbox: 0.662963 loss_dfl: 0.475579 loss: 2.439308 eta: 1 day, 5:45:06 batch_cost: 0.8785 data_cost: 0.0051 ips: 72.8511 images/s
[03/18 13:03:30] ppdet.engine INFO: Epoch: [24] [220/458] learning_rate: 0.315024 loss_vfl: 1.415521 loss_bbox: 0.722790 loss_dfl: 0.523563 loss: 2.665309 eta: 1 day, 5:44:52 batch_cost: 0.8648 data_cost: 0.0048 ips: 74.0027 images/s
[03/18 13:03:50] ppdet.engine INFO: Epoch: [24] [240/458] learning_rate: 0.315006 loss_vfl: 1.443671 loss_bbox: 0.710385 loss_dfl: 0.530573 loss: 2.673747 eta: 1 day, 5:44:48 batch_cost: 0.9023 data_cost: 0.0019 ips: 70.9280 images/s
[03/18 13:04:11] ppdet.engine INFO: Epoch: [24] [260/458] learning_rate: 0.314988 loss_vfl: 1.448859 loss_bbox: 0.735457 loss_dfl: 0.531648 loss: 2.696597 eta: 1 day, 5:44:46 batch_cost: 0.9159 data_cost: 0.0015 ips: 69.8796 images/s
[03/18 13:04:30] ppdet.engine INFO: Epoch: [24] [280/458] learning_rate: 0.314970 loss_vfl: 1.308418 loss_bbox: 0.658871 loss_dfl: 0.478177 loss: 2.446648 eta: 1 day, 5:44:31 batch_cost: 0.8584 data_cost: 0.0012 ips: 74.5601 images/s
[03/18 13:04:49] ppdet.engine INFO: Epoch: [24] [300/458] learning_rate: 0.314951 loss_vfl: 1.376795 loss_bbox: 0.673486 loss_dfl: 0.498015 loss: 2.554529 eta: 1 day, 5:44:14 batch_cost: 0.8487 data_cost: 0.0037 ips: 75.4065 images/s
[03/18 13:05:10] ppdet.engine INFO: Epoch: [24] [320/458] learning_rate: 0.314933 loss_vfl: 1.361206 loss_bbox: 0.679575 loss_dfl: 0.493479 loss: 2.543205 eta: 1 day, 5:44:22 batch_cost: 0.9636 data_cost: 0.0038 ips: 66.4197 images/s
[03/18 13:05:27] ppdet.engine INFO: Epoch: [24] [340/458] learning_rate: 0.314915 loss_vfl: 1.260816 loss_bbox: 0.629391 loss_dfl: 0.466598 loss: 2.366265 eta: 1 day, 5:43:42 batch_cost: 0.7432 data_cost: 0.0008 ips: 86.1134 images/s
[03/18 13:05:48] ppdet.engine INFO: Epoch: [24] [360/458] learning_rate: 0.314896 loss_vfl: 1.402864 loss_bbox: 0.723404 loss_dfl: 0.520094 loss: 2.634035 eta: 1 day, 5:43:45 batch_cost: 0.9388 data_cost: 0.0027 ips: 68.1746 images/s
[03/18 13:06:11] ppdet.engine INFO: Epoch: [24] [380/458] learning_rate: 0.314878 loss_vfl: 1.311006 loss_bbox: 0.652267 loss_dfl: 0.477157 loss: 2.435760 eta: 1 day, 5:44:10 batch_cost: 1.0407 data_cost: 0.0016 ips: 61.4961 images/s
[03/18 13:06:28] ppdet.engine INFO: Epoch: [24] [400/458] learning_rate: 0.314860 loss_vfl: 1.335759 loss_bbox: 0.668409 loss_dfl: 0.501677 loss: 2.523751 eta: 1 day, 5:43:37 batch_cost: 0.7768 data_cost: 0.0079 ips: 82.3938 images/s
[03/18 13:06:48] ppdet.engine INFO: Epoch: [24] [420/458] learning_rate: 0.314841 loss_vfl: 1.379843 loss_bbox: 0.671354 loss_dfl: 0.491874 loss: 2.502387 eta: 1 day, 5:43:22 batch_cost: 0.8561 data_cost: 0.0031 ips: 74.7544 images/s
[03/18 13:07:04] ppdet.engine INFO: Epoch: [24] [440/458] learning_rate: 0.314823 loss_vfl: 1.324710 loss_bbox: 0.642138 loss_dfl: 0.485066 loss: 2.482156 eta: 1 day, 5:42:36 batch_cost: 0.7182 data_cost: 0.0068 ips: 89.1087 images/s
[03/18 13:07:23] ppdet.engine INFO: Epoch: [25] [  0/458] learning_rate: 0.314806 loss_vfl: 1.347160 loss_bbox: 0.658503 loss_dfl: 0.488403 loss: 2.469206 eta: 1 day, 5:42:36 batch_cost: 0.9381 data_cost: 0.3336 ips: 68.2194 images/s
[03/18 13:07:37] ppdet.engine INFO: Epoch: [25] [ 20/458] learning_rate: 0.314787 loss_vfl: 1.326606 loss_bbox: 0.654550 loss_dfl: 0.473507 loss: 2.440447 eta: 1 day, 5:41:20 batch_cost: 0.5816 data_cost: 0.0555 ips: 110.0408 images/s
[03/18 13:07:58] ppdet.engine INFO: Epoch: [25] [ 40/458] learning_rate: 0.314769 loss_vfl: 1.345285 loss_bbox: 0.664217 loss_dfl: 0.482402 loss: 2.471741 eta: 1 day, 5:41:28 batch_cost: 0.9630 data_cost: 0.0131 ips: 66.4566 images/s
[03/18 13:08:16] ppdet.engine INFO: Epoch: [25] [ 60/458] learning_rate: 0.314750 loss_vfl: 1.348697 loss_bbox: 0.661833 loss_dfl: 0.486125 loss: 2.463763 eta: 1 day, 5:40:55 batch_cost: 0.7761 data_cost: 0.0005 ips: 82.4584 images/s
[03/18 13:08:37] ppdet.engine INFO: Epoch: [25] [ 80/458] learning_rate: 0.314732 loss_vfl: 1.367833 loss_bbox: 0.683638 loss_dfl: 0.504021 loss: 2.521447 eta: 1 day, 5:41:09 batch_cost: 0.9880 data_cost: 0.0025 ips: 64.7781 images/s
[03/18 13:08:58] ppdet.engine INFO: Epoch: [25] [100/458] learning_rate: 0.314713 loss_vfl: 1.345395 loss_bbox: 0.655478 loss_dfl: 0.486575 loss: 2.485720 eta: 1 day, 5:41:08 batch_cost: 0.9223 data_cost: 0.0036 ips: 69.3912 images/s
[03/18 13:09:15] ppdet.engine INFO: Epoch: [25] [120/458] learning_rate: 0.314694 loss_vfl: 1.359009 loss_bbox: 0.686753 loss_dfl: 0.494928 loss: 2.534638 eta: 1 day, 5:40:36 batch_cost: 0.7832 data_cost: 0.0048 ips: 81.7178 images/s
[03/18 13:09:35] ppdet.engine INFO: Epoch: [25] [140/458] learning_rate: 0.314675 loss_vfl: 1.314661 loss_bbox: 0.674076 loss_dfl: 0.493551 loss: 2.492300 eta: 1 day, 5:40:30 batch_cost: 0.8977 data_cost: 0.0049 ips: 71.2949 images/s
[03/18 13:09:54] ppdet.engine INFO: Epoch: [25] [160/458] learning_rate: 0.314657 loss_vfl: 1.455119 loss_bbox: 0.684320 loss_dfl: 0.504144 loss: 2.654281 eta: 1 day, 5:40:01 batch_cost: 0.7944 data_cost: 0.0035 ips: 80.5609 images/s
[03/18 13:10:15] ppdet.engine INFO: Epoch: [25] [180/458] learning_rate: 0.314638 loss_vfl: 1.371073 loss_bbox: 0.704418 loss_dfl: 0.509026 loss: 2.560815 eta: 1 day, 5:40:10 batch_cost: 0.9694 data_cost: 0.0088 ips: 66.0190 images/s
[03/18 13:10:33] ppdet.engine INFO: Epoch: [25] [200/458] learning_rate: 0.314619 loss_vfl: 1.303168 loss_bbox: 0.641130 loss_dfl: 0.470834 loss: 2.436479 eta: 1 day, 5:39:43 batch_cost: 0.8000 data_cost: 0.0053 ips: 79.9980 images/s
[03/18 13:10:51] ppdet.engine INFO: Epoch: [25] [220/458] learning_rate: 0.314600 loss_vfl: 1.413750 loss_bbox: 0.663520 loss_dfl: 0.507637 loss: 2.579506 eta: 1 day, 5:39:07 batch_cost: 0.7613 data_cost: 0.0165 ips: 84.0640 images/s
[03/18 13:11:13] ppdet.engine INFO: Epoch: [25] [240/458] learning_rate: 0.314581 loss_vfl: 1.379510 loss_bbox: 0.654023 loss_dfl: 0.486848 loss: 2.545835 eta: 1 day, 5:39:18 batch_cost: 0.9805 data_cost: 0.0051 ips: 65.2709 images/s
[03/18 13:11:32] ppdet.engine INFO: Epoch: [25] [260/458] learning_rate: 0.314562 loss_vfl: 1.374017 loss_bbox: 0.681292 loss_dfl: 0.503175 loss: 2.562513 eta: 1 day, 5:38:57 batch_cost: 0.8329 data_cost: 0.0011 ips: 76.8364 images/s
[03/18 13:11:50] ppdet.engine INFO: Epoch: [25] [280/458] learning_rate: 0.314543 loss_vfl: 1.396165 loss_bbox: 0.709744 loss_dfl: 0.524267 loss: 2.645427 eta: 1 day, 5:38:32 batch_cost: 0.8100 data_cost: 0.0023 ips: 79.0079 images/s
[03/18 13:12:09] ppdet.engine INFO: Epoch: [25] [300/458] learning_rate: 0.314524 loss_vfl: 1.367049 loss_bbox: 0.650095 loss_dfl: 0.487809 loss: 2.512694 eta: 1 day, 5:38:06 batch_cost: 0.8091 data_cost: 0.0035 ips: 79.0967 images/s
[03/18 13:12:29] ppdet.engine INFO: Epoch: [25] [320/458] learning_rate: 0.314505 loss_vfl: 1.423637 loss_bbox: 0.723029 loss_dfl: 0.523551 loss: 2.676759 eta: 1 day, 5:38:06 batch_cost: 0.9282 data_cost: 0.0026 ips: 68.9506 images/s
[03/18 13:12:48] ppdet.engine INFO: Epoch: [25] [340/458] learning_rate: 0.314486 loss_vfl: 1.292932 loss_bbox: 0.659973 loss_dfl: 0.472603 loss: 2.446284 eta: 1 day, 5:37:56 batch_cost: 0.8799 data_cost: 0.0030 ips: 72.7344 images/s
[03/18 13:13:09] ppdet.engine INFO: Epoch: [25] [360/458] learning_rate: 0.314467 loss_vfl: 1.345214 loss_bbox: 0.647438 loss_dfl: 0.481026 loss: 2.473861 eta: 1 day, 5:37:52 batch_cost: 0.9090 data_cost: 0.0051 ips: 70.4099 images/s
[03/18 13:13:27] ppdet.engine INFO: Epoch: [25] [380/458] learning_rate: 0.314448 loss_vfl: 1.404355 loss_bbox: 0.689133 loss_dfl: 0.506434 loss: 2.605499 eta: 1 day, 5:37:28 batch_cost: 0.8164 data_cost: 0.0081 ips: 78.3884 images/s
[03/18 13:13:46] ppdet.engine INFO: Epoch: [25] [400/458] learning_rate: 0.314429 loss_vfl: 1.308027 loss_bbox: 0.638079 loss_dfl: 0.471730 loss: 2.430475 eta: 1 day, 5:37:08 batch_cost: 0.8387 data_cost: 0.0003 ips: 76.3089 images/s
[03/18 13:14:06] ppdet.engine INFO: Epoch: [25] [420/458] learning_rate: 0.314410 loss_vfl: 1.273760 loss_bbox: 0.657718 loss_dfl: 0.473690 loss: 2.411216 eta: 1 day, 5:36:55 batch_cost: 0.8658 data_cost: 0.0044 ips: 73.9179 images/s
[03/18 13:14:24] ppdet.engine INFO: Epoch: [25] [440/458] learning_rate: 0.314390 loss_vfl: 1.322598 loss_bbox: 0.689305 loss_dfl: 0.500282 loss: 2.523717 eta: 1 day, 5:36:27 batch_cost: 0.7951 data_cost: 0.0046 ips: 80.4886 images/s
[03/18 13:14:41] ppdet.engine INFO: Epoch: [26] [  0/458] learning_rate: 0.314373 loss_vfl: 1.411996 loss_bbox: 0.724599 loss_dfl: 0.530414 loss: 2.680333 eta: 1 day, 5:36:03 batch_cost: 0.8202 data_cost: 0.2491 ips: 78.0269 images/s
[03/18 13:14:55] ppdet.engine INFO: Epoch: [26] [ 20/458] learning_rate: 0.314354 loss_vfl: 1.356335 loss_bbox: 0.685694 loss_dfl: 0.496699 loss: 2.527177 eta: 1 day, 5:35:00 batch_cost: 0.6275 data_cost: 0.0359 ips: 101.9894 images/s
[03/18 13:15:10] ppdet.engine INFO: Epoch: [26] [ 40/458] learning_rate: 0.314335 loss_vfl: 1.400026 loss_bbox: 0.669029 loss_dfl: 0.489370 loss: 2.570848 eta: 1 day, 5:34:04 batch_cost: 0.6632 data_cost: 0.0040 ips: 96.5035 images/s
[03/18 13:15:30] ppdet.engine INFO: Epoch: [26] [ 60/458] learning_rate: 0.314315 loss_vfl: 1.362854 loss_bbox: 0.709130 loss_dfl: 0.505980 loss: 2.576579 eta: 1 day, 5:34:02 batch_cost: 0.9217 data_cost: 0.0173 ips: 69.4396 images/s
[03/18 13:15:48] ppdet.engine INFO: Epoch: [26] [ 80/458] learning_rate: 0.314296 loss_vfl: 1.340727 loss_bbox: 0.652326 loss_dfl: 0.482899 loss: 2.456601 eta: 1 day, 5:33:37 batch_cost: 0.8102 data_cost: 0.0030 ips: 78.9942 images/s
[03/18 13:16:09] ppdet.engine INFO: Epoch: [26] [100/458] learning_rate: 0.314276 loss_vfl: 1.341210 loss_bbox: 0.649581 loss_dfl: 0.481407 loss: 2.476582 eta: 1 day, 5:33:43 batch_cost: 0.9551 data_cost: 0.0357 ips: 67.0115 images/s
[03/18 13:16:30] ppdet.engine INFO: Epoch: [26] [120/458] learning_rate: 0.314257 loss_vfl: 1.310431 loss_bbox: 0.676840 loss_dfl: 0.485300 loss: 2.446288 eta: 1 day, 5:33:37 batch_cost: 0.9016 data_cost: 0.0025 ips: 70.9810 images/s
[03/18 13:16:47] ppdet.engine INFO: Epoch: [26] [140/458] learning_rate: 0.314237 loss_vfl: 1.338333 loss_bbox: 0.679004 loss_dfl: 0.481936 loss: 2.505528 eta: 1 day, 5:32:56 batch_cost: 0.7371 data_cost: 0.0063 ips: 86.8313 images/s
[03/18 13:17:08] ppdet.engine INFO: Epoch: [26] [160/458] learning_rate: 0.314218 loss_vfl: 1.279191 loss_bbox: 0.649289 loss_dfl: 0.482835 loss: 2.410917 eta: 1 day, 5:33:01 batch_cost: 0.9546 data_cost: 0.0022 ips: 67.0468 images/s
[03/18 13:17:26] ppdet.engine INFO: Epoch: [26] [180/458] learning_rate: 0.314198 loss_vfl: 1.340675 loss_bbox: 0.711760 loss_dfl: 0.509713 loss: 2.571132 eta: 1 day, 5:32:29 batch_cost: 0.7745 data_cost: 0.0047 ips: 82.6303 images/s
[03/18 13:17:46] ppdet.engine INFO: Epoch: [26] [200/458] learning_rate: 0.314179 loss_vfl: 1.297450 loss_bbox: 0.638912 loss_dfl: 0.486067 loss: 2.443535 eta: 1 day, 5:32:22 batch_cost: 0.8945 data_cost: 0.0014 ips: 71.5464 images/s
[03/18 13:18:05] ppdet.engine INFO: Epoch: [26] [220/458] learning_rate: 0.314159 loss_vfl: 1.346581 loss_bbox: 0.646575 loss_dfl: 0.489815 loss: 2.471434 eta: 1 day, 5:32:06 batch_cost: 0.8564 data_cost: 0.0033 ips: 74.7289 images/s
[03/18 13:18:21] ppdet.engine INFO: Epoch: [26] [240/458] learning_rate: 0.314139 loss_vfl: 1.426090 loss_bbox: 0.695898 loss_dfl: 0.518778 loss: 2.624641 eta: 1 day, 5:31:18 batch_cost: 0.6980 data_cost: 0.0042 ips: 91.6843 images/s
[03/18 13:18:39] ppdet.engine INFO: Epoch: [26] [260/458] learning_rate: 0.314120 loss_vfl: 1.316955 loss_bbox: 0.662095 loss_dfl: 0.482798 loss: 2.438791 eta: 1 day, 5:30:41 batch_cost: 0.7488 data_cost: 0.0042 ips: 85.4687 images/s
[03/18 13:19:00] ppdet.engine INFO: Epoch: [26] [280/458] learning_rate: 0.314100 loss_vfl: 1.342816 loss_bbox: 0.688962 loss_dfl: 0.499086 loss: 2.559442 eta: 1 day, 5:30:52 batch_cost: 0.9863 data_cost: 0.0049 ips: 64.8919 images/s
[03/18 13:19:21] ppdet.engine INFO: Epoch: [26] [300/458] learning_rate: 0.314080 loss_vfl: 1.338775 loss_bbox: 0.671862 loss_dfl: 0.488858 loss: 2.480724 eta: 1 day, 5:30:46 batch_cost: 0.9019 data_cost: 0.0054 ips: 70.9609 images/s
[03/18 13:19:39] ppdet.engine INFO: Epoch: [26] [320/458] learning_rate: 0.314061 loss_vfl: 1.310805 loss_bbox: 0.667330 loss_dfl: 0.483865 loss: 2.446474 eta: 1 day, 5:30:17 batch_cost: 0.7879 data_cost: 0.0051 ips: 81.2335 images/s
[03/18 13:19:56] ppdet.engine INFO: Epoch: [26] [340/458] learning_rate: 0.314041 loss_vfl: 1.343848 loss_bbox: 0.692175 loss_dfl: 0.499050 loss: 2.549180 eta: 1 day, 5:29:26 batch_cost: 0.6844 data_cost: 0.0683 ips: 93.5146 images/s
[03/18 13:20:18] ppdet.engine INFO: Epoch: [26] [360/458] learning_rate: 0.314021 loss_vfl: 1.295927 loss_bbox: 0.669299 loss_dfl: 0.485800 loss: 2.433657 eta: 1 day, 5:29:38 batch_cost: 0.9884 data_cost: 0.0177 ips: 64.7481 images/s
[03/18 13:20:37] ppdet.engine INFO: Epoch: [26] [380/458] learning_rate: 0.314001 loss_vfl: 1.326831 loss_bbox: 0.666689 loss_dfl: 0.487212 loss: 2.476929 eta: 1 day, 5:29:17 batch_cost: 0.8291 data_cost: 0.0053 ips: 77.1922 images/s
[03/18 13:20:54] ppdet.engine INFO: Epoch: [26] [400/458] learning_rate: 0.313981 loss_vfl: 1.363684 loss_bbox: 0.662881 loss_dfl: 0.488960 loss: 2.511886 eta: 1 day, 5:28:41 batch_cost: 0.7559 data_cost: 0.0043 ips: 84.6621 images/s
[03/18 13:21:18] ppdet.engine INFO: Epoch: [26] [420/458] learning_rate: 0.313961 loss_vfl: 1.372460 loss_bbox: 0.683162 loss_dfl: 0.511472 loss: 2.605839 eta: 1 day, 5:29:01 batch_cost: 1.0308 data_cost: 0.0017 ips: 62.0900 images/s
[03/18 13:21:34] ppdet.engine INFO: Epoch: [26] [440/458] learning_rate: 0.313941 loss_vfl: 1.370418 loss_bbox: 0.673988 loss_dfl: 0.502935 loss: 2.591537 eta: 1 day, 5:28:18 batch_cost: 0.7225 data_cost: 0.0029 ips: 88.5854 images/s
[03/18 13:21:52] ppdet.engine INFO: Epoch: [27] [  0/458] learning_rate: 0.313923 loss_vfl: 1.370510 loss_bbox: 0.689339 loss_dfl: 0.501476 loss: 2.561008 eta: 1 day, 5:28:09 batch_cost: 0.8423 data_cost: 0.1838 ips: 75.9796 images/s
[03/18 13:22:09] ppdet.engine INFO: Epoch: [27] [ 20/458] learning_rate: 0.313903 loss_vfl: 1.328836 loss_bbox: 0.648352 loss_dfl: 0.488769 loss: 2.463099 eta: 1 day, 5:27:30 batch_cost: 0.7403 data_cost: 0.0032 ips: 86.4458 images/s
[03/18 13:22:23] ppdet.engine INFO: Epoch: [27] [ 40/458] learning_rate: 0.313883 loss_vfl: 1.260777 loss_bbox: 0.663491 loss_dfl: 0.488663 loss: 2.438778 eta: 1 day, 5:26:36 batch_cost: 0.6672 data_cost: 0.0061 ips: 95.9242 images/s
[03/18 13:22:42] ppdet.engine INFO: Epoch: [27] [ 60/458] learning_rate: 0.313863 loss_vfl: 1.332614 loss_bbox: 0.668889 loss_dfl: 0.488232 loss: 2.478120 eta: 1 day, 5:26:18 batch_cost: 0.8390 data_cost: 0.0032 ips: 76.2789 images/s
[03/18 13:23:01] ppdet.engine INFO: Epoch: [27] [ 80/458] learning_rate: 0.313843 loss_vfl: 1.395411 loss_bbox: 0.664329 loss_dfl: 0.505369 loss: 2.594827 eta: 1 day, 5:26:05 batch_cost: 0.8679 data_cost: 0.0067 ips: 73.7448 images/s
[03/18 13:23:21] ppdet.engine INFO: Epoch: [27] [100/458] learning_rate: 0.313823 loss_vfl: 1.371680 loss_bbox: 0.713099 loss_dfl: 0.520682 loss: 2.591882 eta: 1 day, 5:25:54 batch_cost: 0.8782 data_cost: 0.0034 ips: 72.8742 images/s
[03/18 13:23:42] ppdet.engine INFO: Epoch: [27] [120/458] learning_rate: 0.313803 loss_vfl: 1.313148 loss_bbox: 0.659627 loss_dfl: 0.482279 loss: 2.468676 eta: 1 day, 5:25:49 batch_cost: 0.9083 data_cost: 0.3245 ips: 70.4615 images/s
[03/18 13:24:00] ppdet.engine INFO: Epoch: [27] [140/458] learning_rate: 0.313782 loss_vfl: 1.344913 loss_bbox: 0.675830 loss_dfl: 0.491961 loss: 2.499337 eta: 1 day, 5:25:10 batch_cost: 0.7404 data_cost: 0.2030 ips: 86.4447 images/s
[03/18 13:24:20] ppdet.engine INFO: Epoch: [27] [160/458] learning_rate: 0.313762 loss_vfl: 1.347471 loss_bbox: 0.693636 loss_dfl: 0.491323 loss: 2.500840 eta: 1 day, 5:25:03 batch_cost: 0.8948 data_cost: 0.0451 ips: 71.5213 images/s
[03/18 13:24:38] ppdet.engine INFO: Epoch: [27] [180/458] learning_rate: 0.313742 loss_vfl: 1.345524 loss_bbox: 0.688366 loss_dfl: 0.496578 loss: 2.508317 eta: 1 day, 5:24:33 batch_cost: 0.7818 data_cost: 0.0028 ips: 81.8673 images/s
[03/18 13:24:58] ppdet.engine INFO: Epoch: [27] [200/458] learning_rate: 0.313721 loss_vfl: 1.323118 loss_bbox: 0.666984 loss_dfl: 0.488561 loss: 2.473842 eta: 1 day, 5:24:25 batch_cost: 0.8930 data_cost: 0.0020 ips: 71.6683 images/s
[03/18 13:25:17] ppdet.engine INFO: Epoch: [27] [220/458] learning_rate: 0.313701 loss_vfl: 1.394341 loss_bbox: 0.704933 loss_dfl: 0.514542 loss: 2.584115 eta: 1 day, 5:23:53 batch_cost: 0.7759 data_cost: 0.0187 ips: 82.4808 images/s
[03/18 13:25:36] ppdet.engine INFO: Epoch: [27] [240/458] learning_rate: 0.313681 loss_vfl: 1.351122 loss_bbox: 0.656835 loss_dfl: 0.487082 loss: 2.488953 eta: 1 day, 5:23:38 batch_cost: 0.8563 data_cost: 0.1635 ips: 74.7423 images/s
[03/18 13:25:56] ppdet.engine INFO: Epoch: [27] [260/458] learning_rate: 0.313660 loss_vfl: 1.316592 loss_bbox: 0.666581 loss_dfl: 0.477327 loss: 2.455130 eta: 1 day, 5:23:31 batch_cost: 0.8995 data_cost: 0.2984 ips: 71.1484 images/s
[03/18 13:26:14] ppdet.engine INFO: Epoch: [27] [280/458] learning_rate: 0.313640 loss_vfl: 1.328419 loss_bbox: 0.701384 loss_dfl: 0.496834 loss: 2.529286 eta: 1 day, 5:23:09 batch_cost: 0.8215 data_cost: 0.1188 ips: 77.9023 images/s
[03/18 13:26:35] ppdet.engine INFO: Epoch: [27] [300/458] learning_rate: 0.313619 loss_vfl: 1.321470 loss_bbox: 0.663500 loss_dfl: 0.492951 loss: 2.493410 eta: 1 day, 5:23:15 batch_cost: 0.9638 data_cost: 0.0715 ips: 66.4049 images/s
[03/18 13:26:52] ppdet.engine INFO: Epoch: [27] [320/458] learning_rate: 0.313599 loss_vfl: 1.389145 loss_bbox: 0.726126 loss_dfl: 0.531102 loss: 2.622105 eta: 1 day, 5:22:27 batch_cost: 0.6897 data_cost: 0.0043 ips: 92.7982 images/s
[03/18 13:27:12] ppdet.engine INFO: Epoch: [27] [340/458] learning_rate: 0.313578 loss_vfl: 1.400854 loss_bbox: 0.673400 loss_dfl: 0.489148 loss: 2.564783 eta: 1 day, 5:22:20 batch_cost: 0.9015 data_cost: 0.0018 ips: 70.9891 images/s
[03/18 13:27:31] ppdet.engine INFO: Epoch: [27] [360/458] learning_rate: 0.313558 loss_vfl: 1.354184 loss_bbox: 0.702338 loss_dfl: 0.511947 loss: 2.596257 eta: 1 day, 5:21:56 batch_cost: 0.8089 data_cost: 0.0309 ips: 79.1235 images/s
[03/18 13:27:49] ppdet.engine INFO: Epoch: [27] [380/458] learning_rate: 0.313537 loss_vfl: 1.388742 loss_bbox: 0.671821 loss_dfl: 0.497260 loss: 2.573351 eta: 1 day, 5:21:33 batch_cost: 0.8209 data_cost: 0.0600 ips: 77.9662 images/s
[03/18 13:28:09] ppdet.engine INFO: Epoch: [27] [400/458] learning_rate: 0.313516 loss_vfl: 1.363001 loss_bbox: 0.650777 loss_dfl: 0.487792 loss: 2.504078 eta: 1 day, 5:21:16 batch_cost: 0.8465 data_cost: 0.2974 ips: 75.6059 images/s
[03/18 13:28:28] ppdet.engine INFO: Epoch: [27] [420/458] learning_rate: 0.313496 loss_vfl: 1.254618 loss_bbox: 0.619154 loss_dfl: 0.454011 loss: 2.317981 eta: 1 day, 5:20:48 batch_cost: 0.7895 data_cost: 0.0020 ips: 81.0651 images/s
[03/18 13:28:46] ppdet.engine INFO: Epoch: [27] [440/458] learning_rate: 0.313475 loss_vfl: 1.320811 loss_bbox: 0.636554 loss_dfl: 0.467275 loss: 2.422158 eta: 1 day, 5:20:23 batch_cost: 0.8077 data_cost: 0.0058 ips: 79.2329 images/s
[03/18 13:29:07] ppdet.engine INFO: Epoch: [28] [  0/458] learning_rate: 0.313456 loss_vfl: 1.446766 loss_bbox: 0.742093 loss_dfl: 0.539849 loss: 2.732642 eta: 1 day, 5:20:37 batch_cost: 1.0259 data_cost: 0.2496 ips: 62.3873 images/s
[03/18 13:29:24] ppdet.engine INFO: Epoch: [28] [ 20/458] learning_rate: 0.313436 loss_vfl: 1.308666 loss_bbox: 0.662927 loss_dfl: 0.483831 loss: 2.446334 eta: 1 day, 5:20:06 batch_cost: 0.7734 data_cost: 0.0016 ips: 82.7485 images/s
[03/18 13:29:40] ppdet.engine INFO: Epoch: [28] [ 40/458] learning_rate: 0.313415 loss_vfl: 1.240370 loss_bbox: 0.625075 loss_dfl: 0.455398 loss: 2.320319 eta: 1 day, 5:19:17 batch_cost: 0.6839 data_cost: 0.0033 ips: 93.5866 images/s
[03/18 13:29:56] ppdet.engine INFO: Epoch: [28] [ 60/458] learning_rate: 0.313394 loss_vfl: 1.405491 loss_bbox: 0.692008 loss_dfl: 0.507048 loss: 2.586420 eta: 1 day, 5:18:42 batch_cost: 0.7510 data_cost: 0.0040 ips: 85.2158 images/s
[03/18 13:30:16] ppdet.engine INFO: Epoch: [28] [ 80/458] learning_rate: 0.313373 loss_vfl: 1.353648 loss_bbox: 0.651793 loss_dfl: 0.484306 loss: 2.496737 eta: 1 day, 5:18:31 batch_cost: 0.8809 data_cost: 0.0025 ips: 72.6512 images/s
[03/18 13:30:34] ppdet.engine INFO: Epoch: [28] [100/458] learning_rate: 0.313352 loss_vfl: 1.336951 loss_bbox: 0.693290 loss_dfl: 0.502835 loss: 2.497160 eta: 1 day, 5:18:04 batch_cost: 0.7927 data_cost: 0.0037 ips: 80.7386 images/s
[03/18 13:30:55] ppdet.engine INFO: Epoch: [28] [120/458] learning_rate: 0.313331 loss_vfl: 1.374000 loss_bbox: 0.674034 loss_dfl: 0.490295 loss: 2.544997 eta: 1 day, 5:18:02 batch_cost: 0.9250 data_cost: 0.0023 ips: 69.1880 images/s
[03/18 13:31:13] ppdet.engine INFO: Epoch: [28] [140/458] learning_rate: 0.313310 loss_vfl: 1.282685 loss_bbox: 0.634245 loss_dfl: 0.463395 loss: 2.427563 eta: 1 day, 5:17:37 batch_cost: 0.8066 data_cost: 0.0052 ips: 79.3438 images/s
[03/18 13:31:35] ppdet.engine INFO: Epoch: [28] [160/458] learning_rate: 0.313289 loss_vfl: 1.338752 loss_bbox: 0.672725 loss_dfl: 0.502699 loss: 2.490801 eta: 1 day, 5:17:46 batch_cost: 0.9858 data_cost: 0.0024 ips: 64.9216 images/s
[03/18 13:31:53] ppdet.engine INFO: Epoch: [28] [180/458] learning_rate: 0.313268 loss_vfl: 1.316309 loss_bbox: 0.630486 loss_dfl: 0.474974 loss: 2.401634 eta: 1 day, 5:17:14 batch_cost: 0.7645 data_cost: 0.0035 ips: 83.7131 images/s
[03/18 13:32:12] ppdet.engine INFO: Epoch: [28] [200/458] learning_rate: 0.313247 loss_vfl: 1.290410 loss_bbox: 0.652482 loss_dfl: 0.480485 loss: 2.429801 eta: 1 day, 5:16:57 batch_cost: 0.8477 data_cost: 0.0273 ips: 75.4973 images/s
[03/18 13:32:30] ppdet.engine INFO: Epoch: [28] [220/458] learning_rate: 0.313226 loss_vfl: 1.423072 loss_bbox: 0.700823 loss_dfl: 0.511576 loss: 2.635687 eta: 1 day, 5:16:35 batch_cost: 0.8248 data_cost: 0.0309 ips: 77.5912 images/s
[03/18 13:32:49] ppdet.engine INFO: Epoch: [28] [240/458] learning_rate: 0.313205 loss_vfl: 1.279313 loss_bbox: 0.647161 loss_dfl: 0.479439 loss: 2.404755 eta: 1 day, 5:16:22 batch_cost: 0.8645 data_cost: 0.0591 ips: 74.0329 images/s
[03/18 13:33:10] ppdet.engine INFO: Epoch: [28] [260/458] learning_rate: 0.313184 loss_vfl: 1.375672 loss_bbox: 0.694609 loss_dfl: 0.512296 loss: 2.610772 eta: 1 day, 5:16:16 batch_cost: 0.9090 data_cost: 0.0015 ips: 70.4041 images/s
[03/18 13:33:28] ppdet.engine INFO: Epoch: [28] [280/458] learning_rate: 0.313163 loss_vfl: 1.319701 loss_bbox: 0.620819 loss_dfl: 0.463638 loss: 2.397551 eta: 1 day, 5:15:42 batch_cost: 0.7551 data_cost: 0.0510 ips: 84.7620 images/s
[03/18 13:33:47] ppdet.engine INFO: Epoch: [28] [300/458] learning_rate: 0.313141 loss_vfl: 1.367685 loss_bbox: 0.674247 loss_dfl: 0.499385 loss: 2.536351 eta: 1 day, 5:15:33 batch_cost: 0.8895 data_cost: 0.0034 ips: 71.9492 images/s
[03/18 13:34:08] ppdet.engine INFO: Epoch: [28] [320/458] learning_rate: 0.313120 loss_vfl: 1.357582 loss_bbox: 0.682313 loss_dfl: 0.495257 loss: 2.573646 eta: 1 day, 5:15:29 batch_cost: 0.9189 data_cost: 0.0023 ips: 69.6452 images/s
[03/18 13:34:26] ppdet.engine INFO: Epoch: [28] [340/458] learning_rate: 0.313099 loss_vfl: 1.357906 loss_bbox: 0.668580 loss_dfl: 0.487297 loss: 2.496664 eta: 1 day, 5:14:59 batch_cost: 0.7764 data_cost: 0.0060 ips: 82.4289 images/s
[03/18 13:34:45] ppdet.engine INFO: Epoch: [28] [360/458] learning_rate: 0.313078 loss_vfl: 1.344686 loss_bbox: 0.657066 loss_dfl: 0.480792 loss: 2.440864 eta: 1 day, 5:14:41 batch_cost: 0.8399 data_cost: 0.0331 ips: 76.2027 images/s
[03/18 13:35:06] ppdet.engine INFO: Epoch: [28] [380/458] learning_rate: 0.313056 loss_vfl: 1.418412 loss_bbox: 0.694501 loss_dfl: 0.511140 loss: 2.616632 eta: 1 day, 5:14:38 batch_cost: 0.9238 data_cost: 0.2674 ips: 69.2761 images/s
[03/18 13:35:25] ppdet.engine INFO: Epoch: [28] [400/458] learning_rate: 0.313035 loss_vfl: 1.362728 loss_bbox: 0.662028 loss_dfl: 0.477714 loss: 2.522469 eta: 1 day, 5:14:21 batch_cost: 0.8468 data_cost: 0.2931 ips: 75.5805 images/s
[03/18 13:35:43] ppdet.engine INFO: Epoch: [28] [420/458] learning_rate: 0.313013 loss_vfl: 1.316039 loss_bbox: 0.674394 loss_dfl: 0.496906 loss: 2.520322 eta: 1 day, 5:13:55 batch_cost: 0.8024 data_cost: 0.1683 ips: 79.7654 images/s
[03/18 13:36:06] ppdet.engine INFO: Epoch: [28] [440/458] learning_rate: 0.312992 loss_vfl: 1.235417 loss_bbox: 0.628916 loss_dfl: 0.448345 loss: 2.320263 eta: 1 day, 5:14:12 batch_cost: 1.0293 data_cost: 0.1867 ips: 62.1756 images/s
[03/18 13:36:27] ppdet.engine INFO: Epoch: [29] [  0/458] learning_rate: 0.312973 loss_vfl: 1.383482 loss_bbox: 0.682273 loss_dfl: 0.504890 loss: 2.558273 eta: 1 day, 5:14:31 batch_cost: 1.1319 data_cost: 0.5382 ips: 56.5404 images/s
[03/18 13:36:43] ppdet.engine INFO: Epoch: [29] [ 20/458] learning_rate: 0.312951 loss_vfl: 1.377249 loss_bbox: 0.717058 loss_dfl: 0.517561 loss: 2.592020 eta: 1 day, 5:13:44 batch_cost: 0.6871 data_cost: 0.0457 ips: 93.1414 images/s
[03/18 13:36:58] ppdet.engine INFO: Epoch: [29] [ 40/458] learning_rate: 0.312930 loss_vfl: 1.403491 loss_bbox: 0.687325 loss_dfl: 0.501384 loss: 2.582663 eta: 1 day, 5:12:53 batch_cost: 0.6697 data_cost: 0.1100 ips: 95.5722 images/s
[03/18 13:37:13] ppdet.engine INFO: Epoch: [29] [ 60/458] learning_rate: 0.312908 loss_vfl: 1.417320 loss_bbox: 0.702171 loss_dfl: 0.507933 loss: 2.608460 eta: 1 day, 5:12:01 batch_cost: 0.6586 data_cost: 0.0301 ips: 97.1829 images/s
[03/18 13:37:33] ppdet.engine INFO: Epoch: [29] [ 80/458] learning_rate: 0.312886 loss_vfl: 1.288428 loss_bbox: 0.664436 loss_dfl: 0.489386 loss: 2.465470 eta: 1 day, 5:11:52 batch_cost: 0.8901 data_cost: 0.3485 ips: 71.8981 images/s
[03/18 13:37:53] ppdet.engine INFO: Epoch: [29] [100/458] learning_rate: 0.312865 loss_vfl: 1.322498 loss_bbox: 0.670999 loss_dfl: 0.488901 loss: 2.458886 eta: 1 day, 5:11:49 batch_cost: 0.9228 data_cost: 0.3297 ips: 69.3576 images/s
[03/18 13:38:13] ppdet.engine INFO: Epoch: [29] [120/458] learning_rate: 0.312843 loss_vfl: 1.412929 loss_bbox: 0.708778 loss_dfl: 0.519033 loss: 2.607954 eta: 1 day, 5:11:33 batch_cost: 0.8515 data_cost: 0.2156 ips: 75.1632 images/s
[03/18 13:38:34] ppdet.engine INFO: Epoch: [29] [140/458] learning_rate: 0.312821 loss_vfl: 1.325556 loss_bbox: 0.636430 loss_dfl: 0.474742 loss: 2.435006 eta: 1 day, 5:11:33 batch_cost: 0.9382 data_cost: 0.2029 ips: 68.2134 images/s
[03/18 13:38:53] ppdet.engine INFO: Epoch: [29] [160/458] learning_rate: 0.312800 loss_vfl: 1.349733 loss_bbox: 0.631148 loss_dfl: 0.486979 loss: 2.451424 eta: 1 day, 5:10:56 batch_cost: 0.7394 data_cost: 0.0771 ips: 86.5533 images/s
[03/18 13:39:13] ppdet.engine INFO: Epoch: [29] [180/458] learning_rate: 0.312778 loss_vfl: 1.336245 loss_bbox: 0.708058 loss_dfl: 0.510551 loss: 2.569487 eta: 1 day, 5:10:48 batch_cost: 0.8989 data_cost: 0.0204 ips: 71.1997 images/s
[03/18 13:39:35] ppdet.engine INFO: Epoch: [29] [200/458] learning_rate: 0.312756 loss_vfl: 1.330543 loss_bbox: 0.622024 loss_dfl: 0.480767 loss: 2.416926 eta: 1 day, 5:10:40 batch_cost: 0.8956 data_cost: 0.1670 ips: 71.4576 images/s
[03/18 13:39:55] ppdet.engine INFO: Epoch: [29] [220/458] learning_rate: 0.312734 loss_vfl: 1.354671 loss_bbox: 0.686345 loss_dfl: 0.504474 loss: 2.535542 eta: 1 day, 5:10:26 batch_cost: 0.8631 data_cost: 0.1779 ips: 74.1531 images/s
[03/18 13:40:14] ppdet.engine INFO: Epoch: [29] [240/458] learning_rate: 0.312712 loss_vfl: 1.331420 loss_bbox: 0.667690 loss_dfl: 0.484944 loss: 2.497751 eta: 1 day, 5:10:09 batch_cost: 0.8485 data_cost: 0.1980 ips: 75.4307 images/s
[03/18 13:40:35] ppdet.engine INFO: Epoch: [29] [260/458] learning_rate: 0.312691 loss_vfl: 1.291765 loss_bbox: 0.615514 loss_dfl: 0.454367 loss: 2.352644 eta: 1 day, 5:10:07 batch_cost: 0.9247 data_cost: 0.3067 ips: 69.2104 images/s
[03/18 13:40:55] ppdet.engine INFO: Epoch: [29] [280/458] learning_rate: 0.312669 loss_vfl: 1.252808 loss_bbox: 0.686564 loss_dfl: 0.492740 loss: 2.438420 eta: 1 day, 5:09:56 batch_cost: 0.8806 data_cost: 0.1024 ips: 72.6799 images/s
[03/18 13:41:16] ppdet.engine INFO: Epoch: [29] [300/458] learning_rate: 0.312647 loss_vfl: 1.322511 loss_bbox: 0.672506 loss_dfl: 0.473548 loss: 2.432002 eta: 1 day, 5:09:47 batch_cost: 0.8920 data_cost: 0.1515 ips: 71.7502 images/s
[03/18 13:41:35] ppdet.engine INFO: Epoch: [29] [320/458] learning_rate: 0.312625 loss_vfl: 1.302498 loss_bbox: 0.647735 loss_dfl: 0.475544 loss: 2.387018 eta: 1 day, 5:09:33 batch_cost: 0.8638 data_cost: 0.3095 ips: 74.0880 images/s
[03/18 13:41:54] ppdet.engine INFO: Epoch: [29] [340/458] learning_rate: 0.312603 loss_vfl: 1.356974 loss_bbox: 0.651601 loss_dfl: 0.484015 loss: 2.457171 eta: 1 day, 5:09:12 batch_cost: 0.8285 data_cost: 0.0710 ips: 77.2473 images/s
[03/18 13:42:14] ppdet.engine INFO: Epoch: [29] [360/458] learning_rate: 0.312581 loss_vfl: 1.386027 loss_bbox: 0.679695 loss_dfl: 0.489596 loss: 2.515952 eta: 1 day, 5:08:55 batch_cost: 0.8497 data_cost: 0.1429 ips: 75.3170 images/s
[03/18 13:42:33] ppdet.engine INFO: Epoch: [29] [380/458] learning_rate: 0.312558 loss_vfl: 1.333474 loss_bbox: 0.673287 loss_dfl: 0.486230 loss: 2.497037 eta: 1 day, 5:08:35 batch_cost: 0.8310 data_cost: 0.2027 ips: 77.0141 images/s
[03/18 13:42:53] ppdet.engine INFO: Epoch: [29] [400/458] learning_rate: 0.312536 loss_vfl: 1.350885 loss_bbox: 0.675921 loss_dfl: 0.499579 loss: 2.530068 eta: 1 day, 5:08:27 batch_cost: 0.8967 data_cost: 0.2026 ips: 71.3712 images/s
[03/18 13:43:11] ppdet.engine INFO: Epoch: [29] [420/458] learning_rate: 0.312514 loss_vfl: 1.336324 loss_bbox: 0.675919 loss_dfl: 0.498555 loss: 2.477930 eta: 1 day, 5:08:02 batch_cost: 0.8030 data_cost: 0.1980 ips: 79.7031 images/s
[03/18 13:43:31] ppdet.engine INFO: Epoch: [29] [440/458] learning_rate: 0.312492 loss_vfl: 1.363607 loss_bbox: 0.696468 loss_dfl: 0.503382 loss: 2.577551 eta: 1 day, 5:07:45 batch_cost: 0.8457 data_cost: 0.2888 ips: 75.6745 images/s
[03/18 13:43:45] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 13:43:45] ppdet.engine INFO: Eval iter: 0
[03/18 13:44:03] ppdet.engine INFO: Eval iter: 100
[03/18 13:44:14] ppdet.engine INFO: Eval iter: 200
[03/18 13:44:24] ppdet.engine INFO: Eval iter: 300
[03/18 13:44:36] ppdet.engine INFO: Eval iter: 400
[03/18 13:44:47] ppdet.engine INFO: Eval iter: 500
[03/18 13:44:59] ppdet.engine INFO: Eval iter: 600
[03/18 13:45:13] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.91s)
creating index...
index created!
[03/18 13:45:14] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.40s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=75.84s).
Accumulating evaluation results...
DONE (t=15.86s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.164
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.264
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.170
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.044
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.150
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.294
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.195
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.314
 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 ] = 0.079
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.348
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.580
[03/18 13:46:52] ppdet.engine INFO: Total sample number: 4952, averge FPS: 64.79894532384232
[03/18 13:46:52] ppdet.engine INFO: Best test bbox ap is 0.164.
[03/18 13:46:52] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 13:46:53] ppdet.engine INFO: Epoch: [30] [  0/458] learning_rate: 0.312472 loss_vfl: 1.361016 loss_bbox: 0.686282 loss_dfl: 0.504171 loss: 2.572678 eta: 1 day, 5:06:51 batch_cost: 0.6123 data_cost: 0.1073 ips: 104.5156 images/s
[03/18 13:47:09] ppdet.engine INFO: Epoch: [30] [ 20/458] learning_rate: 0.312450 loss_vfl: 1.390053 loss_bbox: 0.680858 loss_dfl: 0.506796 loss: 2.568511 eta: 1 day, 5:06:10 batch_cost: 0.7164 data_cost: 0.0042 ips: 89.3318 images/s
[03/18 13:47:29] ppdet.engine INFO: Epoch: [30] [ 40/458] learning_rate: 0.312428 loss_vfl: 1.213767 loss_bbox: 0.622911 loss_dfl: 0.464600 loss: 2.325848 eta: 1 day, 5:05:54 batch_cost: 0.8483 data_cost: 0.0064 ips: 75.4430 images/s
[03/18 13:47:51] ppdet.engine INFO: Epoch: [30] [ 60/458] learning_rate: 0.312405 loss_vfl: 1.322892 loss_bbox: 0.635843 loss_dfl: 0.474571 loss: 2.436728 eta: 1 day, 5:06:03 batch_cost: 0.9966 data_cost: 0.0035 ips: 64.2198 images/s
[03/18 13:48:09] ppdet.engine INFO: Epoch: [30] [ 80/458] learning_rate: 0.312383 loss_vfl: 1.364231 loss_bbox: 0.675696 loss_dfl: 0.490024 loss: 2.533815 eta: 1 day, 5:05:30 batch_cost: 0.7564 data_cost: 0.0119 ips: 84.6072 images/s
[03/18 13:48:28] ppdet.engine INFO: Epoch: [30] [100/458] learning_rate: 0.312360 loss_vfl: 1.336303 loss_bbox: 0.654402 loss_dfl: 0.477534 loss: 2.476943 eta: 1 day, 5:05:03 batch_cost: 0.7875 data_cost: 0.2121 ips: 81.2733 images/s
[03/18 13:48:50] ppdet.engine INFO: Epoch: [30] [120/458] learning_rate: 0.312338 loss_vfl: 1.372875 loss_bbox: 0.677454 loss_dfl: 0.499297 loss: 2.545940 eta: 1 day, 5:05:14 batch_cost: 1.0080 data_cost: 0.4856 ips: 63.4927 images/s
[03/18 13:49:12] ppdet.engine INFO: Epoch: [30] [140/458] learning_rate: 0.312316 loss_vfl: 1.300378 loss_bbox: 0.651620 loss_dfl: 0.470714 loss: 2.437084 eta: 1 day, 5:05:18 batch_cost: 0.9622 data_cost: 0.3551 ips: 66.5132 images/s
[03/18 13:49:31] ppdet.engine INFO: Epoch: [30] [160/458] learning_rate: 0.312293 loss_vfl: 1.285736 loss_bbox: 0.606800 loss_dfl: 0.460580 loss: 2.386354 eta: 1 day, 5:05:02 batch_cost: 0.8559 data_cost: 0.3089 ips: 74.7760 images/s
[03/18 13:49:52] ppdet.engine INFO: Epoch: [30] [180/458] learning_rate: 0.312271 loss_vfl: 1.272824 loss_bbox: 0.631972 loss_dfl: 0.471930 loss: 2.368069 eta: 1 day, 5:04:59 batch_cost: 0.9241 data_cost: 0.4043 ips: 69.2541 images/s
[03/18 13:50:13] ppdet.engine INFO: Epoch: [30] [200/458] learning_rate: 0.312248 loss_vfl: 1.380412 loss_bbox: 0.667094 loss_dfl: 0.480197 loss: 2.512074 eta: 1 day, 5:04:52 batch_cost: 0.9071 data_cost: 0.2710 ips: 70.5570 images/s
[03/18 13:50:33] ppdet.engine INFO: Epoch: [30] [220/458] learning_rate: 0.312226 loss_vfl: 1.308754 loss_bbox: 0.670171 loss_dfl: 0.485873 loss: 2.441241 eta: 1 day, 5:04:48 batch_cost: 0.9218 data_cost: 0.4014 ips: 69.4313 images/s
[03/18 13:50:52] ppdet.engine INFO: Epoch: [30] [240/458] learning_rate: 0.312203 loss_vfl: 1.300970 loss_bbox: 0.631662 loss_dfl: 0.459929 loss: 2.381314 eta: 1 day, 5:04:35 batch_cost: 0.8681 data_cost: 0.4293 ips: 73.7285 images/s
[03/18 13:51:06] ppdet.engine INFO: Epoch: [30] [260/458] learning_rate: 0.312180 loss_vfl: 1.280571 loss_bbox: 0.636013 loss_dfl: 0.468595 loss: 2.363255 eta: 1 day, 5:03:36 batch_cost: 0.6108 data_cost: 0.1533 ips: 104.7829 images/s
[03/18 13:51:24] ppdet.engine INFO: Epoch: [30] [280/458] learning_rate: 0.312158 loss_vfl: 1.282565 loss_bbox: 0.637685 loss_dfl: 0.488257 loss: 2.415780 eta: 1 day, 5:03:14 batch_cost: 0.8193 data_cost: 0.3697 ips: 78.1160 images/s
[03/18 13:51:42] ppdet.engine INFO: Epoch: [30] [300/458] learning_rate: 0.312135 loss_vfl: 1.305598 loss_bbox: 0.662186 loss_dfl: 0.488553 loss: 2.434267 eta: 1 day, 5:02:49 batch_cost: 0.8031 data_cost: 0.2486 ips: 79.6913 images/s
[03/18 13:52:04] ppdet.engine INFO: Epoch: [30] [320/458] learning_rate: 0.312112 loss_vfl: 1.325655 loss_bbox: 0.657452 loss_dfl: 0.487822 loss: 2.478517 eta: 1 day, 5:02:59 batch_cost: 1.0002 data_cost: 0.2773 ips: 63.9901 images/s
[03/18 13:52:22] ppdet.engine INFO: Epoch: [30] [340/458] learning_rate: 0.312090 loss_vfl: 1.295122 loss_bbox: 0.663894 loss_dfl: 0.482328 loss: 2.439311 eta: 1 day, 5:02:34 batch_cost: 0.8040 data_cost: 0.3442 ips: 79.5984 images/s
[03/18 13:52:41] ppdet.engine INFO: Epoch: [30] [360/458] learning_rate: 0.312067 loss_vfl: 1.305177 loss_bbox: 0.633852 loss_dfl: 0.460867 loss: 2.411766 eta: 1 day, 5:02:10 batch_cost: 0.8070 data_cost: 0.1354 ips: 79.3023 images/s
[03/18 13:53:03] ppdet.engine INFO: Epoch: [30] [380/458] learning_rate: 0.312044 loss_vfl: 1.295782 loss_bbox: 0.651211 loss_dfl: 0.480905 loss: 2.441233 eta: 1 day, 5:02:20 batch_cost: 1.0008 data_cost: 0.4392 ips: 63.9476 images/s
[03/18 13:53:20] ppdet.engine INFO: Epoch: [30] [400/458] learning_rate: 0.312021 loss_vfl: 1.346350 loss_bbox: 0.683836 loss_dfl: 0.495187 loss: 2.535381 eta: 1 day, 5:01:51 batch_cost: 0.7801 data_cost: 0.2722 ips: 82.0377 images/s
[03/18 13:53:41] ppdet.engine INFO: Epoch: [30] [420/458] learning_rate: 0.311998 loss_vfl: 1.388868 loss_bbox: 0.697421 loss_dfl: 0.508437 loss: 2.595638 eta: 1 day, 5:01:49 batch_cost: 0.9338 data_cost: 0.4550 ips: 68.5392 images/s
[03/18 13:54:01] ppdet.engine INFO: Epoch: [30] [440/458] learning_rate: 0.311975 loss_vfl: 1.344757 loss_bbox: 0.687173 loss_dfl: 0.506425 loss: 2.498964 eta: 1 day, 5:01:31 batch_cost: 0.8394 data_cost: 0.2175 ips: 76.2449 images/s
[03/18 13:54:23] ppdet.engine INFO: Epoch: [31] [  0/458] learning_rate: 0.311955 loss_vfl: 1.366482 loss_bbox: 0.666075 loss_dfl: 0.477129 loss: 2.504013 eta: 1 day, 5:01:45 batch_cost: 1.0475 data_cost: 0.5548 ips: 61.0976 images/s
[03/18 13:54:42] ppdet.engine INFO: Epoch: [31] [ 20/458] learning_rate: 0.311932 loss_vfl: 1.256318 loss_bbox: 0.650796 loss_dfl: 0.464321 loss: 2.384043 eta: 1 day, 5:01:25 batch_cost: 0.8319 data_cost: 0.0218 ips: 76.9349 images/s
[03/18 13:55:04] ppdet.engine INFO: Epoch: [31] [ 40/458] learning_rate: 0.311909 loss_vfl: 1.389307 loss_bbox: 0.674302 loss_dfl: 0.503336 loss: 2.604297 eta: 1 day, 5:01:28 batch_cost: 0.9621 data_cost: 0.1148 ips: 66.5210 images/s
[03/18 13:55:25] ppdet.engine INFO: Epoch: [31] [ 60/458] learning_rate: 0.311886 loss_vfl: 1.390573 loss_bbox: 0.677272 loss_dfl: 0.493411 loss: 2.565291 eta: 1 day, 5:01:30 batch_cost: 0.9579 data_cost: 0.3710 ips: 66.8122 images/s
[03/18 13:55:45] ppdet.engine INFO: Epoch: [31] [ 80/458] learning_rate: 0.311863 loss_vfl: 1.433311 loss_bbox: 0.705456 loss_dfl: 0.523768 loss: 2.655676 eta: 1 day, 5:01:16 batch_cost: 0.8677 data_cost: 0.3342 ips: 73.7542 images/s
[03/18 13:56:06] ppdet.engine INFO: Epoch: [31] [100/458] learning_rate: 0.311839 loss_vfl: 1.333902 loss_bbox: 0.691595 loss_dfl: 0.507315 loss: 2.580565 eta: 1 day, 5:01:03 batch_cost: 0.8721 data_cost: 0.2179 ips: 73.3853 images/s
[03/18 13:56:24] ppdet.engine INFO: Epoch: [31] [120/458] learning_rate: 0.311816 loss_vfl: 1.296109 loss_bbox: 0.636890 loss_dfl: 0.472746 loss: 2.381902 eta: 1 day, 5:00:30 batch_cost: 0.7556 data_cost: 0.2742 ips: 84.6969 images/s
[03/18 13:56:45] ppdet.engine INFO: Epoch: [31] [140/458] learning_rate: 0.311793 loss_vfl: 1.401545 loss_bbox: 0.709833 loss_dfl: 0.515950 loss: 2.643280 eta: 1 day, 5:00:30 batch_cost: 0.9472 data_cost: 0.3968 ips: 67.5706 images/s
[03/18 13:57:04] ppdet.engine INFO: Epoch: [31] [160/458] learning_rate: 0.311770 loss_vfl: 1.359268 loss_bbox: 0.713508 loss_dfl: 0.519802 loss: 2.591016 eta: 1 day, 4:59:59 batch_cost: 0.7668 data_cost: 0.2687 ips: 83.4603 images/s
[03/18 13:57:24] ppdet.engine INFO: Epoch: [31] [180/458] learning_rate: 0.311747 loss_vfl: 1.347103 loss_bbox: 0.677539 loss_dfl: 0.487125 loss: 2.483386 eta: 1 day, 4:59:42 batch_cost: 0.8481 data_cost: 0.2212 ips: 75.4590 images/s
[03/18 13:57:46] ppdet.engine INFO: Epoch: [31] [200/458] learning_rate: 0.311723 loss_vfl: 1.348068 loss_bbox: 0.688916 loss_dfl: 0.505236 loss: 2.524539 eta: 1 day, 4:59:44 batch_cost: 0.9607 data_cost: 0.1245 ips: 66.6213 images/s
[03/18 13:58:04] ppdet.engine INFO: Epoch: [31] [220/458] learning_rate: 0.311700 loss_vfl: 1.295115 loss_bbox: 0.628400 loss_dfl: 0.474472 loss: 2.456409 eta: 1 day, 4:59:16 batch_cost: 0.7796 data_cost: 0.1859 ips: 82.0935 images/s
[03/18 13:58:20] ppdet.engine INFO: Epoch: [31] [240/458] learning_rate: 0.311677 loss_vfl: 1.305831 loss_bbox: 0.655218 loss_dfl: 0.478341 loss: 2.426078 eta: 1 day, 4:58:29 batch_cost: 0.6733 data_cost: 0.1788 ips: 95.0606 images/s
[03/18 13:58:36] ppdet.engine INFO: Epoch: [31] [260/458] learning_rate: 0.311653 loss_vfl: 1.370685 loss_bbox: 0.701793 loss_dfl: 0.527606 loss: 2.609062 eta: 1 day, 4:57:47 batch_cost: 0.7046 data_cost: 0.2328 ips: 90.8267 images/s
[03/18 13:58:56] ppdet.engine INFO: Epoch: [31] [280/458] learning_rate: 0.311630 loss_vfl: 1.352183 loss_bbox: 0.679156 loss_dfl: 0.505128 loss: 2.576165 eta: 1 day, 4:57:37 batch_cost: 0.8852 data_cost: 0.3775 ips: 72.2971 images/s
[03/18 13:59:16] ppdet.engine INFO: Epoch: [31] [300/458] learning_rate: 0.311607 loss_vfl: 1.226272 loss_bbox: 0.606827 loss_dfl: 0.446079 loss: 2.271516 eta: 1 day, 4:57:12 batch_cost: 0.8011 data_cost: 0.2629 ips: 79.8946 images/s
[03/18 13:59:36] ppdet.engine INFO: Epoch: [31] [320/458] learning_rate: 0.311583 loss_vfl: 1.361222 loss_bbox: 0.674327 loss_dfl: 0.496080 loss: 2.537601 eta: 1 day, 4:57:00 batch_cost: 0.8813 data_cost: 0.3785 ips: 72.6167 images/s
[03/18 13:59:58] ppdet.engine INFO: Epoch: [31] [340/458] learning_rate: 0.311560 loss_vfl: 1.315369 loss_bbox: 0.647416 loss_dfl: 0.479160 loss: 2.450336 eta: 1 day, 4:56:56 batch_cost: 0.9242 data_cost: 0.1791 ips: 69.2489 images/s
[03/18 14:00:17] ppdet.engine INFO: Epoch: [31] [360/458] learning_rate: 0.311536 loss_vfl: 1.311574 loss_bbox: 0.655939 loss_dfl: 0.476325 loss: 2.406268 eta: 1 day, 4:56:33 batch_cost: 0.8122 data_cost: 0.0666 ips: 78.7958 images/s
[03/18 14:00:38] ppdet.engine INFO: Epoch: [31] [380/458] learning_rate: 0.311513 loss_vfl: 1.324294 loss_bbox: 0.657050 loss_dfl: 0.483148 loss: 2.454256 eta: 1 day, 4:56:21 batch_cost: 0.8784 data_cost: 0.1944 ips: 72.8596 images/s
[03/18 14:00:59] ppdet.engine INFO: Epoch: [31] [400/458] learning_rate: 0.311489 loss_vfl: 1.338088 loss_bbox: 0.668999 loss_dfl: 0.494589 loss: 2.498272 eta: 1 day, 4:56:20 batch_cost: 0.9407 data_cost: 0.1895 ips: 68.0357 images/s
[03/18 14:01:17] ppdet.engine INFO: Epoch: [31] [420/458] learning_rate: 0.311465 loss_vfl: 1.348583 loss_bbox: 0.673646 loss_dfl: 0.492032 loss: 2.510666 eta: 1 day, 4:55:53 batch_cost: 0.7878 data_cost: 0.2734 ips: 81.2427 images/s
[03/18 14:01:39] ppdet.engine INFO: Epoch: [31] [440/458] learning_rate: 0.311442 loss_vfl: 1.350573 loss_bbox: 0.642676 loss_dfl: 0.494351 loss: 2.494683 eta: 1 day, 4:55:45 batch_cost: 0.9053 data_cost: 0.0015 ips: 70.6981 images/s
[03/18 14:02:00] ppdet.engine INFO: Epoch: [32] [  0/458] learning_rate: 0.311421 loss_vfl: 1.383479 loss_bbox: 0.709192 loss_dfl: 0.523008 loss: 2.617426 eta: 1 day, 4:55:58 batch_cost: 1.0207 data_cost: 0.4022 ips: 62.6994 images/s
[03/18 14:02:20] ppdet.engine INFO: Epoch: [32] [ 20/458] learning_rate: 0.311397 loss_vfl: 1.373831 loss_bbox: 0.696525 loss_dfl: 0.516518 loss: 2.602605 eta: 1 day, 4:55:50 batch_cost: 0.8982 data_cost: 0.1472 ips: 71.2504 images/s
[03/18 14:02:40] ppdet.engine INFO: Epoch: [32] [ 40/458] learning_rate: 0.311373 loss_vfl: 1.331249 loss_bbox: 0.667485 loss_dfl: 0.480934 loss: 2.475943 eta: 1 day, 4:55:25 batch_cost: 0.8001 data_cost: 0.0031 ips: 79.9875 images/s
[03/18 14:03:02] ppdet.engine INFO: Epoch: [32] [ 60/458] learning_rate: 0.311349 loss_vfl: 1.345741 loss_bbox: 0.694450 loss_dfl: 0.496245 loss: 2.545716 eta: 1 day, 4:55:27 batch_cost: 0.9633 data_cost: 0.0643 ips: 66.4381 images/s
[03/18 14:03:21] ppdet.engine INFO: Epoch: [32] [ 80/458] learning_rate: 0.311325 loss_vfl: 1.310345 loss_bbox: 0.646847 loss_dfl: 0.479154 loss: 2.431233 eta: 1 day, 4:55:10 batch_cost: 0.8491 data_cost: 0.0196 ips: 75.3696 images/s
[03/18 14:03:40] ppdet.engine INFO: Epoch: [32] [100/458] learning_rate: 0.311302 loss_vfl: 1.357616 loss_bbox: 0.665930 loss_dfl: 0.502703 loss: 2.518834 eta: 1 day, 4:54:51 batch_cost: 0.8381 data_cost: 0.0033 ips: 76.3659 images/s
[03/18 14:03:59] ppdet.engine INFO: Epoch: [32] [120/458] learning_rate: 0.311278 loss_vfl: 1.409105 loss_bbox: 0.683417 loss_dfl: 0.494604 loss: 2.573847 eta: 1 day, 4:54:29 batch_cost: 0.8194 data_cost: 0.0062 ips: 78.1074 images/s
[03/18 14:04:18] ppdet.engine INFO: Epoch: [32] [140/458] learning_rate: 0.311254 loss_vfl: 1.324182 loss_bbox: 0.658898 loss_dfl: 0.471207 loss: 2.410786 eta: 1 day, 4:54:04 batch_cost: 0.7976 data_cost: 0.1267 ips: 80.2414 images/s
[03/18 14:04:37] ppdet.engine INFO: Epoch: [32] [160/458] learning_rate: 0.311230 loss_vfl: 1.259262 loss_bbox: 0.651601 loss_dfl: 0.467485 loss: 2.384537 eta: 1 day, 4:53:41 batch_cost: 0.8112 data_cost: 0.1017 ips: 78.8977 images/s
[03/18 14:04:57] ppdet.engine INFO: Epoch: [32] [180/458] learning_rate: 0.311206 loss_vfl: 1.335339 loss_bbox: 0.662407 loss_dfl: 0.494806 loss: 2.499507 eta: 1 day, 4:53:19 batch_cost: 0.8225 data_cost: 0.2630 ips: 77.8078 images/s
[03/18 14:05:18] ppdet.engine INFO: Epoch: [32] [200/458] learning_rate: 0.311182 loss_vfl: 1.289611 loss_bbox: 0.644411 loss_dfl: 0.476462 loss: 2.418489 eta: 1 day, 4:53:15 batch_cost: 0.9220 data_cost: 0.3809 ips: 69.4110 images/s
[03/18 14:05:31] ppdet.engine INFO: Epoch: [32] [220/458] learning_rate: 0.311158 loss_vfl: 1.300733 loss_bbox: 0.643047 loss_dfl: 0.473630 loss: 2.432558 eta: 1 day, 4:52:12 batch_cost: 0.5741 data_cost: 0.1120 ips: 111.4867 images/s
[03/18 14:05:47] ppdet.engine INFO: Epoch: [32] [240/458] learning_rate: 0.311134 loss_vfl: 1.332101 loss_bbox: 0.662843 loss_dfl: 0.498039 loss: 2.528171 eta: 1 day, 4:51:24 batch_cost: 0.6596 data_cost: 0.1549 ips: 97.0269 images/s
[03/18 14:06:06] ppdet.engine INFO: Epoch: [32] [260/458] learning_rate: 0.311110 loss_vfl: 1.295930 loss_bbox: 0.649300 loss_dfl: 0.480979 loss: 2.425930 eta: 1 day, 4:51:12 batch_cost: 0.8726 data_cost: 0.3376 ips: 73.3407 images/s
[03/18 14:06:25] ppdet.engine INFO: Epoch: [32] [280/458] learning_rate: 0.311086 loss_vfl: 1.336639 loss_bbox: 0.649890 loss_dfl: 0.472089 loss: 2.485296 eta: 1 day, 4:50:53 batch_cost: 0.8367 data_cost: 0.2977 ips: 76.4937 images/s
[03/18 14:06:43] ppdet.engine INFO: Epoch: [32] [300/458] learning_rate: 0.311062 loss_vfl: 1.310304 loss_bbox: 0.685640 loss_dfl: 0.502516 loss: 2.520785 eta: 1 day, 4:50:29 batch_cost: 0.8048 data_cost: 0.3142 ips: 79.5260 images/s
[03/18 14:07:01] ppdet.engine INFO: Epoch: [32] [320/458] learning_rate: 0.311037 loss_vfl: 1.339810 loss_bbox: 0.664792 loss_dfl: 0.506170 loss: 2.511445 eta: 1 day, 4:50:04 batch_cost: 0.8035 data_cost: 0.2036 ips: 79.6470 images/s
[03/18 14:07:23] ppdet.engine INFO: Epoch: [32] [340/458] learning_rate: 0.311013 loss_vfl: 1.275994 loss_bbox: 0.604916 loss_dfl: 0.457216 loss: 2.300903 eta: 1 day, 4:50:08 batch_cost: 0.9708 data_cost: 0.1447 ips: 65.9218 images/s
[03/18 14:07:41] ppdet.engine INFO: Epoch: [32] [360/458] learning_rate: 0.310989 loss_vfl: 1.325502 loss_bbox: 0.647460 loss_dfl: 0.492328 loss: 2.501006 eta: 1 day, 4:49:34 batch_cost: 0.7485 data_cost: 0.0686 ips: 85.5040 images/s
[03/18 14:08:00] ppdet.engine INFO: Epoch: [32] [380/458] learning_rate: 0.310965 loss_vfl: 1.397363 loss_bbox: 0.684355 loss_dfl: 0.507169 loss: 2.607940 eta: 1 day, 4:49:19 batch_cost: 0.8549 data_cost: 0.0308 ips: 74.8637 images/s
[03/18 14:08:19] ppdet.engine INFO: Epoch: [32] [400/458] learning_rate: 0.310940 loss_vfl: 1.266480 loss_bbox: 0.640042 loss_dfl: 0.474377 loss: 2.406487 eta: 1 day, 4:48:58 batch_cost: 0.8267 data_cost: 0.0826 ips: 77.4169 images/s
[03/18 14:08:40] ppdet.engine INFO: Epoch: [32] [420/458] learning_rate: 0.310916 loss_vfl: 1.353995 loss_bbox: 0.698272 loss_dfl: 0.519672 loss: 2.576859 eta: 1 day, 4:48:47 batch_cost: 0.8830 data_cost: 0.2729 ips: 72.4809 images/s
[03/18 14:09:01] ppdet.engine INFO: Epoch: [32] [440/458] learning_rate: 0.310892 loss_vfl: 1.301049 loss_bbox: 0.652375 loss_dfl: 0.487238 loss: 2.448579 eta: 1 day, 4:48:44 batch_cost: 0.9358 data_cost: 0.3371 ips: 68.3932 images/s
[03/18 14:09:23] ppdet.engine INFO: Epoch: [33] [  0/458] learning_rate: 0.310870 loss_vfl: 1.383915 loss_bbox: 0.681948 loss_dfl: 0.508907 loss: 2.582757 eta: 1 day, 4:49:08 batch_cost: 1.1895 data_cost: 0.6200 ips: 53.8031 images/s
[03/18 14:09:40] ppdet.engine INFO: Epoch: [33] [ 20/458] learning_rate: 0.310845 loss_vfl: 1.374810 loss_bbox: 0.681597 loss_dfl: 0.496299 loss: 2.563435 eta: 1 day, 4:48:28 batch_cost: 0.7076 data_cost: 0.0018 ips: 90.4458 images/s
[03/18 14:10:02] ppdet.engine INFO: Epoch: [33] [ 40/458] learning_rate: 0.310821 loss_vfl: 1.337093 loss_bbox: 0.663907 loss_dfl: 0.484030 loss: 2.443330 eta: 1 day, 4:48:31 batch_cost: 0.9731 data_cost: 0.0006 ips: 65.7680 images/s
[03/18 14:10:23] ppdet.engine INFO: Epoch: [33] [ 60/458] learning_rate: 0.310796 loss_vfl: 1.345123 loss_bbox: 0.667101 loss_dfl: 0.489752 loss: 2.493576 eta: 1 day, 4:48:34 batch_cost: 0.9692 data_cost: 0.0025 ips: 66.0314 images/s
[03/18 14:10:41] ppdet.engine INFO: Epoch: [33] [ 80/458] learning_rate: 0.310772 loss_vfl: 1.291704 loss_bbox: 0.655518 loss_dfl: 0.479005 loss: 2.396942 eta: 1 day, 4:48:11 batch_cost: 0.8112 data_cost: 0.0061 ips: 78.8973 images/s
[03/18 14:11:00] ppdet.engine INFO: Epoch: [33] [100/458] learning_rate: 0.310747 loss_vfl: 1.344807 loss_bbox: 0.700555 loss_dfl: 0.506901 loss: 2.515551 eta: 1 day, 4:47:58 batch_cost: 0.8759 data_cost: 0.0056 ips: 73.0643 images/s
[03/18 14:11:21] ppdet.engine INFO: Epoch: [33] [120/458] learning_rate: 0.310723 loss_vfl: 1.402125 loss_bbox: 0.697722 loss_dfl: 0.506041 loss: 2.617539 eta: 1 day, 4:47:54 batch_cost: 0.9280 data_cost: 0.0021 ips: 68.9649 images/s
[03/18 14:11:43] ppdet.engine INFO: Epoch: [33] [140/458] learning_rate: 0.310698 loss_vfl: 1.323888 loss_bbox: 0.672361 loss_dfl: 0.482486 loss: 2.494103 eta: 1 day, 4:48:01 batch_cost: 1.0015 data_cost: 0.0015 ips: 63.9067 images/s
[03/18 14:12:04] ppdet.engine INFO: Epoch: [33] [160/458] learning_rate: 0.310673 loss_vfl: 1.264137 loss_bbox: 0.630631 loss_dfl: 0.467225 loss: 2.408765 eta: 1 day, 4:48:00 batch_cost: 0.9440 data_cost: 0.0039 ips: 67.7967 images/s
[03/18 14:12:23] ppdet.engine INFO: Epoch: [33] [180/458] learning_rate: 0.310649 loss_vfl: 1.252632 loss_bbox: 0.602138 loss_dfl: 0.447166 loss: 2.315439 eta: 1 day, 4:47:42 batch_cost: 0.8438 data_cost: 0.0083 ips: 75.8496 images/s
[03/18 14:12:39] ppdet.engine INFO: Epoch: [33] [200/458] learning_rate: 0.310624 loss_vfl: 1.283202 loss_bbox: 0.661735 loss_dfl: 0.472299 loss: 2.388097 eta: 1 day, 4:47:03 batch_cost: 0.7129 data_cost: 0.0033 ips: 89.7725 images/s
[03/18 14:12:54] ppdet.engine INFO: Epoch: [33] [220/458] learning_rate: 0.310599 loss_vfl: 1.302641 loss_bbox: 0.667162 loss_dfl: 0.484121 loss: 2.454089 eta: 1 day, 4:46:17 batch_cost: 0.6685 data_cost: 0.0068 ips: 95.7324 images/s
[03/18 14:13:07] ppdet.engine INFO: Epoch: [33] [240/458] learning_rate: 0.310574 loss_vfl: 1.293942 loss_bbox: 0.648187 loss_dfl: 0.480233 loss: 2.452694 eta: 1 day, 4:45:15 batch_cost: 0.5644 data_cost: 0.0056 ips: 113.4012 images/s
[03/18 14:13:25] ppdet.engine INFO: Epoch: [33] [260/458] learning_rate: 0.310550 loss_vfl: 1.423898 loss_bbox: 0.711136 loss_dfl: 0.520146 loss: 2.689160 eta: 1 day, 4:44:49 batch_cost: 0.7894 data_cost: 0.0060 ips: 81.0745 images/s
[03/18 14:13:45] ppdet.engine INFO: Epoch: [33] [280/458] learning_rate: 0.310525 loss_vfl: 1.357215 loss_bbox: 0.699341 loss_dfl: 0.515131 loss: 2.562794 eta: 1 day, 4:44:42 batch_cost: 0.9118 data_cost: 0.0027 ips: 70.1899 images/s
[03/18 14:14:05] ppdet.engine INFO: Epoch: [33] [300/458] learning_rate: 0.310500 loss_vfl: 1.320857 loss_bbox: 0.676312 loss_dfl: 0.499024 loss: 2.501708 eta: 1 day, 4:44:20 batch_cost: 0.8176 data_cost: 0.0033 ips: 78.2781 images/s
[03/18 14:14:24] ppdet.engine INFO: Epoch: [33] [320/458] learning_rate: 0.310475 loss_vfl: 1.387133 loss_bbox: 0.675089 loss_dfl: 0.505255 loss: 2.556226 eta: 1 day, 4:44:03 batch_cost: 0.8428 data_cost: 0.0073 ips: 75.9346 images/s
[03/18 14:14:42] ppdet.engine INFO: Epoch: [33] [340/458] learning_rate: 0.310450 loss_vfl: 1.359371 loss_bbox: 0.682207 loss_dfl: 0.502401 loss: 2.540086 eta: 1 day, 4:43:35 batch_cost: 0.7839 data_cost: 0.0051 ips: 81.6439 images/s
[03/18 14:15:02] ppdet.engine INFO: Epoch: [33] [360/458] learning_rate: 0.310425 loss_vfl: 1.305470 loss_bbox: 0.633834 loss_dfl: 0.472775 loss: 2.412528 eta: 1 day, 4:43:21 batch_cost: 0.8670 data_cost: 0.0035 ips: 73.8151 images/s
[03/18 14:15:21] ppdet.engine INFO: Epoch: [33] [380/458] learning_rate: 0.310400 loss_vfl: 1.376391 loss_bbox: 0.685041 loss_dfl: 0.501345 loss: 2.585243 eta: 1 day, 4:43:05 batch_cost: 0.8501 data_cost: 0.0024 ips: 75.2813 images/s
[03/18 14:15:40] ppdet.engine INFO: Epoch: [33] [400/458] learning_rate: 0.310375 loss_vfl: 1.378193 loss_bbox: 0.688868 loss_dfl: 0.508303 loss: 2.575135 eta: 1 day, 4:42:47 batch_cost: 0.8425 data_cost: 0.0017 ips: 75.9623 images/s
[03/18 14:16:00] ppdet.engine INFO: Epoch: [33] [420/458] learning_rate: 0.310350 loss_vfl: 1.369503 loss_bbox: 0.713946 loss_dfl: 0.503266 loss: 2.579327 eta: 1 day, 4:42:39 batch_cost: 0.9050 data_cost: 0.0085 ips: 70.7176 images/s
[03/18 14:16:19] ppdet.engine INFO: Epoch: [33] [440/458] learning_rate: 0.310325 loss_vfl: 1.376897 loss_bbox: 0.702181 loss_dfl: 0.510508 loss: 2.569789 eta: 1 day, 4:42:19 batch_cost: 0.8295 data_cost: 0.0046 ips: 77.1557 images/s
[03/18 14:16:43] ppdet.engine INFO: Epoch: [34] [  0/458] learning_rate: 0.310302 loss_vfl: 1.391438 loss_bbox: 0.672148 loss_dfl: 0.496391 loss: 2.581043 eta: 1 day, 4:42:51 batch_cost: 1.1244 data_cost: 0.3827 ips: 56.9184 images/s
[03/18 14:16:59] ppdet.engine INFO: Epoch: [34] [ 20/458] learning_rate: 0.310277 loss_vfl: 1.363275 loss_bbox: 0.688721 loss_dfl: 0.503806 loss: 2.522527 eta: 1 day, 4:42:06 batch_cost: 0.6751 data_cost: 0.0052 ips: 94.8045 images/s
[03/18 14:17:18] ppdet.engine INFO: Epoch: [34] [ 40/458] learning_rate: 0.310252 loss_vfl: 1.344193 loss_bbox: 0.673238 loss_dfl: 0.485661 loss: 2.507522 eta: 1 day, 4:41:41 batch_cost: 0.7938 data_cost: 0.0093 ips: 80.6273 images/s
[03/18 14:17:38] ppdet.engine INFO: Epoch: [34] [ 60/458] learning_rate: 0.310227 loss_vfl: 1.317407 loss_bbox: 0.702475 loss_dfl: 0.500087 loss: 2.513752 eta: 1 day, 4:41:35 batch_cost: 0.9187 data_cost: 0.3100 ips: 69.6604 images/s
[03/18 14:17:57] ppdet.engine INFO: Epoch: [34] [ 80/458] learning_rate: 0.310201 loss_vfl: 1.284593 loss_bbox: 0.632450 loss_dfl: 0.463036 loss: 2.382051 eta: 1 day, 4:41:10 batch_cost: 0.7956 data_cost: 0.1682 ips: 80.4470 images/s
[03/18 14:18:15] ppdet.engine INFO: Epoch: [34] [100/458] learning_rate: 0.310176 loss_vfl: 1.269706 loss_bbox: 0.642314 loss_dfl: 0.470245 loss: 2.372747 eta: 1 day, 4:40:41 batch_cost: 0.7712 data_cost: 0.1524 ips: 82.9894 images/s
[03/18 14:18:35] ppdet.engine INFO: Epoch: [34] [120/458] learning_rate: 0.310151 loss_vfl: 1.359704 loss_bbox: 0.711617 loss_dfl: 0.516447 loss: 2.618794 eta: 1 day, 4:40:22 batch_cost: 0.8355 data_cost: 0.3225 ips: 76.6027 images/s
[03/18 14:18:51] ppdet.engine INFO: Epoch: [34] [140/458] learning_rate: 0.310126 loss_vfl: 1.340849 loss_bbox: 0.633788 loss_dfl: 0.472711 loss: 2.453634 eta: 1 day, 4:39:47 batch_cost: 0.7295 data_cost: 0.1187 ips: 87.7295 images/s
[03/18 14:19:12] ppdet.engine INFO: Epoch: [34] [160/458] learning_rate: 0.310100 loss_vfl: 1.391765 loss_bbox: 0.685162 loss_dfl: 0.507900 loss: 2.591999 eta: 1 day, 4:39:36 batch_cost: 0.8909 data_cost: 0.3412 ips: 71.8379 images/s
[03/18 14:19:31] ppdet.engine INFO: Epoch: [34] [180/458] learning_rate: 0.310075 loss_vfl: 1.337831 loss_bbox: 0.684343 loss_dfl: 0.504349 loss: 2.531026 eta: 1 day, 4:39:18 batch_cost: 0.8379 data_cost: 0.2714 ips: 76.3789 images/s
[03/18 14:19:51] ppdet.engine INFO: Epoch: [34] [200/458] learning_rate: 0.310049 loss_vfl: 1.328861 loss_bbox: 0.655277 loss_dfl: 0.480767 loss: 2.453613 eta: 1 day, 4:39:06 batch_cost: 0.8806 data_cost: 0.2874 ips: 72.6781 images/s
[03/18 14:20:08] ppdet.engine INFO: Epoch: [34] [220/458] learning_rate: 0.310024 loss_vfl: 1.251766 loss_bbox: 0.657411 loss_dfl: 0.478818 loss: 2.378274 eta: 1 day, 4:38:37 batch_cost: 0.7734 data_cost: 0.2876 ips: 82.7563 images/s
[03/18 14:20:23] ppdet.engine INFO: Epoch: [34] [240/458] learning_rate: 0.309998 loss_vfl: 1.330439 loss_bbox: 0.652604 loss_dfl: 0.480243 loss: 2.441596 eta: 1 day, 4:37:47 batch_cost: 0.6311 data_cost: 0.1524 ips: 101.4183 images/s
[03/18 14:20:37] ppdet.engine INFO: Epoch: [34] [260/458] learning_rate: 0.309973 loss_vfl: 1.237632 loss_bbox: 0.657934 loss_dfl: 0.464665 loss: 2.340745 eta: 1 day, 4:36:54 batch_cost: 0.6147 data_cost: 0.0910 ips: 104.1188 images/s
[03/18 14:20:57] ppdet.engine INFO: Epoch: [34] [280/458] learning_rate: 0.309947 loss_vfl: 1.341610 loss_bbox: 0.685217 loss_dfl: 0.487856 loss: 2.494178 eta: 1 day, 4:36:44 batch_cost: 0.8915 data_cost: 0.2538 ips: 71.7908 images/s
[03/18 14:21:17] ppdet.engine INFO: Epoch: [34] [300/458] learning_rate: 0.309922 loss_vfl: 1.319343 loss_bbox: 0.662848 loss_dfl: 0.486797 loss: 2.491501 eta: 1 day, 4:36:28 batch_cost: 0.8552 data_cost: 0.2552 ips: 74.8355 images/s
[03/18 14:21:34] ppdet.engine INFO: Epoch: [34] [320/458] learning_rate: 0.309896 loss_vfl: 1.266417 loss_bbox: 0.654039 loss_dfl: 0.480365 loss: 2.407738 eta: 1 day, 4:35:55 batch_cost: 0.7413 data_cost: 0.0750 ips: 86.3337 images/s
[03/18 14:21:53] ppdet.engine INFO: Epoch: [34] [340/458] learning_rate: 0.309870 loss_vfl: 1.328797 loss_bbox: 0.688303 loss_dfl: 0.491424 loss: 2.498716 eta: 1 day, 4:35:39 batch_cost: 0.8497 data_cost: 0.2229 ips: 75.3168 images/s
[03/18 14:22:13] ppdet.engine INFO: Epoch: [34] [360/458] learning_rate: 0.309845 loss_vfl: 1.359820 loss_bbox: 0.645063 loss_dfl: 0.477019 loss: 2.534666 eta: 1 day, 4:35:22 batch_cost: 0.8493 data_cost: 0.2509 ips: 75.3592 images/s
[03/18 14:22:31] ppdet.engine INFO: Epoch: [34] [380/458] learning_rate: 0.309819 loss_vfl: 1.322744 loss_bbox: 0.635584 loss_dfl: 0.469422 loss: 2.406700 eta: 1 day, 4:34:57 batch_cost: 0.7929 data_cost: 0.2387 ips: 80.7194 images/s
[03/18 14:22:50] ppdet.engine INFO: Epoch: [34] [400/458] learning_rate: 0.309793 loss_vfl: 1.345376 loss_bbox: 0.680237 loss_dfl: 0.501295 loss: 2.517807 eta: 1 day, 4:34:34 batch_cost: 0.8089 data_cost: 0.3043 ips: 79.1187 images/s
[03/18 14:23:09] ppdet.engine INFO: Epoch: [34] [420/458] learning_rate: 0.309767 loss_vfl: 1.444555 loss_bbox: 0.727656 loss_dfl: 0.531887 loss: 2.712845 eta: 1 day, 4:34:20 batch_cost: 0.8671 data_cost: 0.2904 ips: 73.8108 images/s
[03/18 14:23:28] ppdet.engine INFO: Epoch: [34] [440/458] learning_rate: 0.309742 loss_vfl: 1.234936 loss_bbox: 0.632792 loss_dfl: 0.456629 loss: 2.306134 eta: 1 day, 4:34:00 batch_cost: 0.8273 data_cost: 0.1277 ips: 77.3643 images/s
[03/18 14:23:46] ppdet.engine INFO: Epoch: [35] [  0/458] learning_rate: 0.309718 loss_vfl: 1.275117 loss_bbox: 0.646222 loss_dfl: 0.471854 loss: 2.394324 eta: 1 day, 4:33:46 batch_cost: 0.9653 data_cost: 0.2237 ips: 66.3027 images/s
[03/18 14:24:05] ppdet.engine INFO: Epoch: [35] [ 20/458] learning_rate: 0.309692 loss_vfl: 1.327973 loss_bbox: 0.628482 loss_dfl: 0.481194 loss: 2.439814 eta: 1 day, 4:33:27 batch_cost: 0.8300 data_cost: 0.0040 ips: 77.1126 images/s
[03/18 14:24:22] ppdet.engine INFO: Epoch: [35] [ 40/458] learning_rate: 0.309667 loss_vfl: 1.263807 loss_bbox: 0.628661 loss_dfl: 0.464991 loss: 2.341909 eta: 1 day, 4:32:54 batch_cost: 0.7447 data_cost: 0.1869 ips: 85.9430 images/s
[03/18 14:24:44] ppdet.engine INFO: Epoch: [35] [ 60/458] learning_rate: 0.309641 loss_vfl: 1.293561 loss_bbox: 0.657612 loss_dfl: 0.487614 loss: 2.461214 eta: 1 day, 4:32:57 batch_cost: 0.9792 data_cost: 0.3541 ips: 65.3590 images/s
[03/18 14:25:03] ppdet.engine INFO: Epoch: [35] [ 80/458] learning_rate: 0.309615 loss_vfl: 1.356911 loss_bbox: 0.648954 loss_dfl: 0.481870 loss: 2.498686 eta: 1 day, 4:32:40 batch_cost: 0.8460 data_cost: 0.2129 ips: 75.6525 images/s
[03/18 14:25:21] ppdet.engine INFO: Epoch: [35] [100/458] learning_rate: 0.309589 loss_vfl: 1.326977 loss_bbox: 0.678802 loss_dfl: 0.501088 loss: 2.515325 eta: 1 day, 4:32:10 batch_cost: 0.7565 data_cost: 0.1765 ips: 84.5989 images/s
[03/18 14:25:38] ppdet.engine INFO: Epoch: [35] [120/458] learning_rate: 0.309563 loss_vfl: 1.284254 loss_bbox: 0.646313 loss_dfl: 0.472673 loss: 2.388021 eta: 1 day, 4:31:28 batch_cost: 0.6797 data_cost: 0.1480 ips: 94.1632 images/s
[03/18 14:25:58] ppdet.engine INFO: Epoch: [35] [140/458] learning_rate: 0.309536 loss_vfl: 1.399120 loss_bbox: 0.697781 loss_dfl: 0.524948 loss: 2.636147 eta: 1 day, 4:31:08 batch_cost: 0.8268 data_cost: 0.0409 ips: 77.4088 images/s
[03/18 14:26:18] ppdet.engine INFO: Epoch: [35] [160/458] learning_rate: 0.309510 loss_vfl: 1.300090 loss_bbox: 0.644873 loss_dfl: 0.472054 loss: 2.410970 eta: 1 day, 4:30:53 batch_cost: 0.8629 data_cost: 0.2256 ips: 74.1671 images/s
[03/18 14:26:37] ppdet.engine INFO: Epoch: [35] [180/458] learning_rate: 0.309484 loss_vfl: 1.255168 loss_bbox: 0.658575 loss_dfl: 0.474482 loss: 2.400523 eta: 1 day, 4:30:40 batch_cost: 0.8712 data_cost: 0.0014 ips: 73.4641 images/s
[03/18 14:26:56] ppdet.engine INFO: Epoch: [35] [200/458] learning_rate: 0.309458 loss_vfl: 1.302540 loss_bbox: 0.652434 loss_dfl: 0.481386 loss: 2.438918 eta: 1 day, 4:30:22 batch_cost: 0.8403 data_cost: 0.0044 ips: 76.1608 images/s
[03/18 14:27:16] ppdet.engine INFO: Epoch: [35] [220/458] learning_rate: 0.309432 loss_vfl: 1.290673 loss_bbox: 0.634627 loss_dfl: 0.481094 loss: 2.399376 eta: 1 day, 4:30:12 batch_cost: 0.8951 data_cost: 0.0059 ips: 71.5013 images/s
[03/18 14:27:33] ppdet.engine INFO: Epoch: [35] [240/458] learning_rate: 0.309406 loss_vfl: 1.255434 loss_bbox: 0.640865 loss_dfl: 0.468999 loss: 2.349834 eta: 1 day, 4:29:33 batch_cost: 0.6960 data_cost: 0.0004 ips: 91.9520 images/s
[03/18 14:27:49] ppdet.engine INFO: Epoch: [35] [260/458] learning_rate: 0.309379 loss_vfl: 1.390265 loss_bbox: 0.696859 loss_dfl: 0.513090 loss: 2.609353 eta: 1 day, 4:28:59 batch_cost: 0.7347 data_cost: 0.0069 ips: 87.1091 images/s
[03/18 14:28:05] ppdet.engine INFO: Epoch: [35] [280/458] learning_rate: 0.309353 loss_vfl: 1.323522 loss_bbox: 0.639757 loss_dfl: 0.478100 loss: 2.454528 eta: 1 day, 4:28:24 batch_cost: 0.7216 data_cost: 0.0025 ips: 88.6861 images/s
[03/18 14:28:23] ppdet.engine INFO: Epoch: [35] [300/458] learning_rate: 0.309327 loss_vfl: 1.326108 loss_bbox: 0.673920 loss_dfl: 0.498070 loss: 2.515235 eta: 1 day, 4:27:59 batch_cost: 0.7982 data_cost: 0.0062 ips: 80.1783 images/s
[03/18 14:28:42] ppdet.engine INFO: Epoch: [35] [320/458] learning_rate: 0.309300 loss_vfl: 1.276926 loss_bbox: 0.605757 loss_dfl: 0.454447 loss: 2.317092 eta: 1 day, 4:27:46 batch_cost: 0.8732 data_cost: 0.0043 ips: 73.2973 images/s
[03/18 14:29:04] ppdet.engine INFO: Epoch: [35] [340/458] learning_rate: 0.309274 loss_vfl: 1.316388 loss_bbox: 0.645037 loss_dfl: 0.473633 loss: 2.494588 eta: 1 day, 4:27:50 batch_cost: 0.9819 data_cost: 0.0035 ips: 65.1829 images/s
[03/18 14:29:22] ppdet.engine INFO: Epoch: [35] [360/458] learning_rate: 0.309248 loss_vfl: 1.352379 loss_bbox: 0.639322 loss_dfl: 0.489595 loss: 2.500880 eta: 1 day, 4:27:27 batch_cost: 0.8076 data_cost: 0.0092 ips: 79.2475 images/s
[03/18 14:29:42] ppdet.engine INFO: Epoch: [35] [380/458] learning_rate: 0.309221 loss_vfl: 1.330326 loss_bbox: 0.640244 loss_dfl: 0.484242 loss: 2.405739 eta: 1 day, 4:27:15 batch_cost: 0.8794 data_cost: 0.0095 ips: 72.7753 images/s
[03/18 14:30:02] ppdet.engine INFO: Epoch: [35] [400/458] learning_rate: 0.309195 loss_vfl: 1.329007 loss_bbox: 0.659467 loss_dfl: 0.493599 loss: 2.464036 eta: 1 day, 4:27:08 batch_cost: 0.9162 data_cost: 0.0032 ips: 69.8559 images/s
[03/18 14:30:21] ppdet.engine INFO: Epoch: [35] [420/458] learning_rate: 0.309168 loss_vfl: 1.317738 loss_bbox: 0.649318 loss_dfl: 0.481986 loss: 2.439799 eta: 1 day, 4:26:55 batch_cost: 0.8740 data_cost: 0.0131 ips: 73.2303 images/s
[03/18 14:30:41] ppdet.engine INFO: Epoch: [35] [440/458] learning_rate: 0.309142 loss_vfl: 1.303906 loss_bbox: 0.670038 loss_dfl: 0.471588 loss: 2.413154 eta: 1 day, 4:26:47 batch_cost: 0.9059 data_cost: 0.0022 ips: 70.6450 images/s
[03/18 14:31:04] ppdet.engine INFO: Epoch: [36] [  0/458] learning_rate: 0.309118 loss_vfl: 1.306512 loss_bbox: 0.638872 loss_dfl: 0.479590 loss: 2.435296 eta: 1 day, 4:27:11 batch_cost: 1.0831 data_cost: 0.3220 ips: 59.0910 images/s
[03/18 14:31:23] ppdet.engine INFO: Epoch: [36] [ 20/458] learning_rate: 0.309091 loss_vfl: 1.219473 loss_bbox: 0.591952 loss_dfl: 0.429498 loss: 2.279610 eta: 1 day, 4:26:50 batch_cost: 0.8176 data_cost: 0.0479 ips: 78.2798 images/s
[03/18 14:31:42] ppdet.engine INFO: Epoch: [36] [ 40/458] learning_rate: 0.309065 loss_vfl: 1.410821 loss_bbox: 0.694042 loss_dfl: 0.530474 loss: 2.629942 eta: 1 day, 4:26:32 batch_cost: 0.8403 data_cost: 0.0604 ips: 76.1638 images/s
[03/18 14:32:05] ppdet.engine INFO: Epoch: [36] [ 60/458] learning_rate: 0.309038 loss_vfl: 1.360479 loss_bbox: 0.673715 loss_dfl: 0.497322 loss: 2.525826 eta: 1 day, 4:26:38 batch_cost: 1.0041 data_cost: 0.0126 ips: 63.7380 images/s
[03/18 14:32:25] ppdet.engine INFO: Epoch: [36] [ 80/458] learning_rate: 0.309011 loss_vfl: 1.386764 loss_bbox: 0.675297 loss_dfl: 0.524902 loss: 2.623594 eta: 1 day, 4:26:25 batch_cost: 0.8737 data_cost: 0.0028 ips: 73.2554 images/s
[03/18 14:32:43] ppdet.engine INFO: Epoch: [36] [100/458] learning_rate: 0.308985 loss_vfl: 1.281719 loss_bbox: 0.634105 loss_dfl: 0.466289 loss: 2.380086 eta: 1 day, 4:26:05 batch_cost: 0.8246 data_cost: 0.0043 ips: 77.6159 images/s
[03/18 14:33:03] ppdet.engine INFO: Epoch: [36] [120/458] learning_rate: 0.308958 loss_vfl: 1.340463 loss_bbox: 0.671464 loss_dfl: 0.498055 loss: 2.495595 eta: 1 day, 4:25:58 batch_cost: 0.9141 data_cost: 0.0057 ips: 70.0127 images/s
[03/18 14:33:23] ppdet.engine INFO: Epoch: [36] [140/458] learning_rate: 0.308931 loss_vfl: 1.401054 loss_bbox: 0.688733 loss_dfl: 0.503511 loss: 2.573847 eta: 1 day, 4:25:47 batch_cost: 0.8933 data_cost: 0.0017 ips: 71.6424 images/s
[03/18 14:33:41] ppdet.engine INFO: Epoch: [36] [160/458] learning_rate: 0.308904 loss_vfl: 1.286520 loss_bbox: 0.623451 loss_dfl: 0.472798 loss: 2.363920 eta: 1 day, 4:25:17 batch_cost: 0.7553 data_cost: 0.0024 ips: 84.7315 images/s
[03/18 14:34:02] ppdet.engine INFO: Epoch: [36] [180/458] learning_rate: 0.308877 loss_vfl: 1.330103 loss_bbox: 0.688959 loss_dfl: 0.499256 loss: 2.500928 eta: 1 day, 4:25:17 batch_cost: 0.9651 data_cost: 0.0012 ips: 66.3177 images/s
[03/18 14:34:23] ppdet.engine INFO: Epoch: [36] [200/458] learning_rate: 0.308850 loss_vfl: 1.376177 loss_bbox: 0.664588 loss_dfl: 0.497000 loss: 2.582926 eta: 1 day, 4:25:13 batch_cost: 0.9396 data_cost: 0.0044 ips: 68.1168 images/s
[03/18 14:34:41] ppdet.engine INFO: Epoch: [36] [220/458] learning_rate: 0.308824 loss_vfl: 1.351248 loss_bbox: 0.648101 loss_dfl: 0.467545 loss: 2.455371 eta: 1 day, 4:24:51 batch_cost: 0.8095 data_cost: 0.0032 ips: 79.0611 images/s
[03/18 14:34:55] ppdet.engine INFO: Epoch: [36] [240/458] learning_rate: 0.308797 loss_vfl: 1.343817 loss_bbox: 0.679594 loss_dfl: 0.504750 loss: 2.560508 eta: 1 day, 4:24:03 batch_cost: 0.6306 data_cost: 0.0028 ips: 101.4888 images/s
[03/18 14:35:09] ppdet.engine INFO: Epoch: [36] [260/458] learning_rate: 0.308770 loss_vfl: 1.336975 loss_bbox: 0.678209 loss_dfl: 0.498581 loss: 2.516098 eta: 1 day, 4:23:09 batch_cost: 0.5933 data_cost: 0.0018 ips: 107.8693 images/s
[03/18 14:35:27] ppdet.engine INFO: Epoch: [36] [280/458] learning_rate: 0.308743 loss_vfl: 1.358009 loss_bbox: 0.678118 loss_dfl: 0.495504 loss: 2.536984 eta: 1 day, 4:22:42 batch_cost: 0.7744 data_cost: 0.0049 ips: 82.6473 images/s
[03/18 14:35:45] ppdet.engine INFO: Epoch: [36] [300/458] learning_rate: 0.308716 loss_vfl: 1.356902 loss_bbox: 0.646067 loss_dfl: 0.488380 loss: 2.490010 eta: 1 day, 4:22:15 batch_cost: 0.7786 data_cost: 0.1335 ips: 82.1959 images/s
[03/18 14:36:05] ppdet.engine INFO: Epoch: [36] [320/458] learning_rate: 0.308689 loss_vfl: 1.356946 loss_bbox: 0.652688 loss_dfl: 0.489679 loss: 2.510167 eta: 1 day, 4:22:08 batch_cost: 0.9162 data_cost: 0.0033 ips: 69.8548 images/s
[03/18 14:36:24] ppdet.engine INFO: Epoch: [36] [340/458] learning_rate: 0.308661 loss_vfl: 1.359061 loss_bbox: 0.672390 loss_dfl: 0.508332 loss: 2.543306 eta: 1 day, 4:21:47 batch_cost: 0.8208 data_cost: 0.0008 ips: 77.9710 images/s
[03/18 14:36:43] ppdet.engine INFO: Epoch: [36] [360/458] learning_rate: 0.308634 loss_vfl: 1.320419 loss_bbox: 0.681435 loss_dfl: 0.498937 loss: 2.478560 eta: 1 day, 4:21:26 batch_cost: 0.8173 data_cost: 0.0074 ips: 78.3102 images/s
[03/18 14:37:03] ppdet.engine INFO: Epoch: [36] [380/458] learning_rate: 0.308607 loss_vfl: 1.286953 loss_bbox: 0.660887 loss_dfl: 0.484522 loss: 2.431336 eta: 1 day, 4:21:15 batch_cost: 0.8903 data_cost: 0.0018 ips: 71.8867 images/s
[03/18 14:37:22] ppdet.engine INFO: Epoch: [36] [400/458] learning_rate: 0.308580 loss_vfl: 1.310044 loss_bbox: 0.683171 loss_dfl: 0.485253 loss: 2.443251 eta: 1 day, 4:21:01 batch_cost: 0.8658 data_cost: 0.0020 ips: 73.9222 images/s
[03/18 14:37:39] ppdet.engine INFO: Epoch: [36] [420/458] learning_rate: 0.308553 loss_vfl: 1.362413 loss_bbox: 0.674079 loss_dfl: 0.500172 loss: 2.522395 eta: 1 day, 4:20:33 batch_cost: 0.7651 data_cost: 0.0023 ips: 83.6481 images/s
[03/18 14:37:58] ppdet.engine INFO: Epoch: [36] [440/458] learning_rate: 0.308525 loss_vfl: 1.453677 loss_bbox: 0.694747 loss_dfl: 0.528205 loss: 2.701683 eta: 1 day, 4:20:16 batch_cost: 0.8463 data_cost: 0.0051 ips: 75.6243 images/s
[03/18 14:38:20] ppdet.engine INFO: Epoch: [37] [  0/458] learning_rate: 0.308501 loss_vfl: 1.395656 loss_bbox: 0.686446 loss_dfl: 0.492539 loss: 2.560949 eta: 1 day, 4:20:34 batch_cost: 1.1077 data_cost: 0.3885 ips: 57.7770 images/s
[03/18 14:38:37] ppdet.engine INFO: Epoch: [37] [ 20/458] learning_rate: 0.308474 loss_vfl: 1.335557 loss_bbox: 0.639814 loss_dfl: 0.479119 loss: 2.452930 eta: 1 day, 4:20:08 batch_cost: 0.7869 data_cost: 0.0663 ips: 81.3345 images/s
[03/18 14:38:55] ppdet.engine INFO: Epoch: [37] [ 40/458] learning_rate: 0.308446 loss_vfl: 1.295487 loss_bbox: 0.649086 loss_dfl: 0.487696 loss: 2.397808 eta: 1 day, 4:19:30 batch_cost: 0.6946 data_cost: 0.0017 ips: 92.1392 images/s
[03/18 14:39:17] ppdet.engine INFO: Epoch: [37] [ 60/458] learning_rate: 0.308419 loss_vfl: 1.377953 loss_bbox: 0.693217 loss_dfl: 0.518577 loss: 2.602207 eta: 1 day, 4:19:33 batch_cost: 0.9895 data_cost: 0.0390 ips: 64.6820 images/s
[03/18 14:39:36] ppdet.engine INFO: Epoch: [37] [ 80/458] learning_rate: 0.308391 loss_vfl: 1.423567 loss_bbox: 0.703729 loss_dfl: 0.497594 loss: 2.627671 eta: 1 day, 4:19:11 batch_cost: 0.8132 data_cost: 0.0865 ips: 78.7010 images/s
[03/18 14:39:56] ppdet.engine INFO: Epoch: [37] [100/458] learning_rate: 0.308364 loss_vfl: 1.379094 loss_bbox: 0.689324 loss_dfl: 0.512856 loss: 2.612753 eta: 1 day, 4:19:00 batch_cost: 0.8877 data_cost: 0.2921 ips: 72.0935 images/s
[03/18 14:40:16] ppdet.engine INFO: Epoch: [37] [120/458] learning_rate: 0.308337 loss_vfl: 1.372639 loss_bbox: 0.677876 loss_dfl: 0.509804 loss: 2.566780 eta: 1 day, 4:18:47 batch_cost: 0.8717 data_cost: 0.1691 ips: 73.4166 images/s
[03/18 14:40:36] ppdet.engine INFO: Epoch: [37] [140/458] learning_rate: 0.308309 loss_vfl: 1.362864 loss_bbox: 0.695244 loss_dfl: 0.510084 loss: 2.569329 eta: 1 day, 4:18:30 batch_cost: 0.8451 data_cost: 0.3425 ips: 75.7267 images/s
[03/18 14:40:56] ppdet.engine INFO: Epoch: [37] [160/458] learning_rate: 0.308282 loss_vfl: 1.323277 loss_bbox: 0.672924 loss_dfl: 0.488839 loss: 2.464189 eta: 1 day, 4:18:18 batch_cost: 0.8885 data_cost: 0.2509 ips: 72.0291 images/s
[03/18 14:41:15] ppdet.engine INFO: Epoch: [37] [180/458] learning_rate: 0.308254 loss_vfl: 1.379780 loss_bbox: 0.667631 loss_dfl: 0.490815 loss: 2.531863 eta: 1 day, 4:18:04 batch_cost: 0.8625 data_cost: 0.2284 ips: 74.2036 images/s
[03/18 14:41:34] ppdet.engine INFO: Epoch: [37] [200/458] learning_rate: 0.308226 loss_vfl: 1.284763 loss_bbox: 0.638456 loss_dfl: 0.472152 loss: 2.387308 eta: 1 day, 4:17:47 batch_cost: 0.8503 data_cost: 0.3278 ips: 75.2690 images/s
[03/18 14:41:51] ppdet.engine INFO: Epoch: [37] [220/458] learning_rate: 0.308199 loss_vfl: 1.272833 loss_bbox: 0.625074 loss_dfl: 0.466648 loss: 2.349759 eta: 1 day, 4:17:09 batch_cost: 0.6943 data_cost: 0.2102 ips: 92.1738 images/s
[03/18 14:42:10] ppdet.engine INFO: Epoch: [37] [240/458] learning_rate: 0.308171 loss_vfl: 1.328123 loss_bbox: 0.651372 loss_dfl: 0.483723 loss: 2.471350 eta: 1 day, 4:16:44 batch_cost: 0.7893 data_cost: 0.1595 ips: 81.0855 images/s
[03/18 14:42:27] ppdet.engine INFO: Epoch: [37] [260/458] learning_rate: 0.308143 loss_vfl: 1.276406 loss_bbox: 0.636465 loss_dfl: 0.477793 loss: 2.398273 eta: 1 day, 4:16:10 batch_cost: 0.7288 data_cost: 0.1775 ips: 87.8202 images/s
[03/18 14:42:41] ppdet.engine INFO: Epoch: [37] [280/458] learning_rate: 0.308116 loss_vfl: 1.344402 loss_bbox: 0.702091 loss_dfl: 0.510133 loss: 2.564276 eta: 1 day, 4:15:21 batch_cost: 0.6156 data_cost: 0.1031 ips: 103.9704 images/s
[03/18 14:42:59] ppdet.engine INFO: Epoch: [37] [300/458] learning_rate: 0.308088 loss_vfl: 1.363615 loss_bbox: 0.686497 loss_dfl: 0.499493 loss: 2.513592 eta: 1 day, 4:14:57 batch_cost: 0.7953 data_cost: 0.1556 ips: 80.4681 images/s
[03/18 14:43:18] ppdet.engine INFO: Epoch: [37] [320/458] learning_rate: 0.308060 loss_vfl: 1.301056 loss_bbox: 0.694611 loss_dfl: 0.502963 loss: 2.496008 eta: 1 day, 4:14:28 batch_cost: 0.7600 data_cost: 0.0226 ips: 84.2071 images/s
[03/18 14:43:39] ppdet.engine INFO: Epoch: [37] [340/458] learning_rate: 0.308032 loss_vfl: 1.326724 loss_bbox: 0.686917 loss_dfl: 0.494330 loss: 2.492375 eta: 1 day, 4:14:23 batch_cost: 0.9313 data_cost: 0.0063 ips: 68.7204 images/s
[03/18 14:43:57] ppdet.engine INFO: Epoch: [37] [360/458] learning_rate: 0.308005 loss_vfl: 1.277257 loss_bbox: 0.622868 loss_dfl: 0.464805 loss: 2.404554 eta: 1 day, 4:14:05 batch_cost: 0.8353 data_cost: 0.0033 ips: 76.6183 images/s
[03/18 14:44:16] ppdet.engine INFO: Epoch: [37] [380/458] learning_rate: 0.307977 loss_vfl: 1.334172 loss_bbox: 0.700509 loss_dfl: 0.495573 loss: 2.510237 eta: 1 day, 4:13:47 batch_cost: 0.8416 data_cost: 0.0017 ips: 76.0474 images/s
[03/18 14:44:35] ppdet.engine INFO: Epoch: [37] [400/458] learning_rate: 0.307949 loss_vfl: 1.265305 loss_bbox: 0.659855 loss_dfl: 0.473633 loss: 2.395775 eta: 1 day, 4:13:25 batch_cost: 0.8124 data_cost: 0.0056 ips: 78.7826 images/s
[03/18 14:44:54] ppdet.engine INFO: Epoch: [37] [420/458] learning_rate: 0.307921 loss_vfl: 1.412354 loss_bbox: 0.687644 loss_dfl: 0.522762 loss: 2.626302 eta: 1 day, 4:13:09 batch_cost: 0.8530 data_cost: 0.0028 ips: 75.0310 images/s
[03/18 14:45:15] ppdet.engine INFO: Epoch: [37] [440/458] learning_rate: 0.307893 loss_vfl: 1.332227 loss_bbox: 0.695298 loss_dfl: 0.506155 loss: 2.542860 eta: 1 day, 4:13:04 batch_cost: 0.9284 data_cost: 0.0035 ips: 68.9392 images/s
[03/18 14:45:37] ppdet.engine INFO: Epoch: [38] [  0/458] learning_rate: 0.307868 loss_vfl: 1.332502 loss_bbox: 0.672132 loss_dfl: 0.498954 loss: 2.497890 eta: 1 day, 4:13:13 batch_cost: 1.0140 data_cost: 0.3478 ips: 63.1133 images/s
[03/18 14:45:53] ppdet.engine INFO: Epoch: [38] [ 20/458] learning_rate: 0.307840 loss_vfl: 1.375971 loss_bbox: 0.684270 loss_dfl: 0.507453 loss: 2.562197 eta: 1 day, 4:12:34 batch_cost: 0.6850 data_cost: 0.1821 ips: 93.4322 images/s
[03/18 14:46:13] ppdet.engine INFO: Epoch: [38] [ 40/458] learning_rate: 0.307812 loss_vfl: 1.313336 loss_bbox: 0.675906 loss_dfl: 0.486824 loss: 2.487445 eta: 1 day, 4:12:18 batch_cost: 0.8555 data_cost: 0.2344 ips: 74.8074 images/s
[03/18 14:46:35] ppdet.engine INFO: Epoch: [38] [ 60/458] learning_rate: 0.307784 loss_vfl: 1.314399 loss_bbox: 0.652557 loss_dfl: 0.485954 loss: 2.462993 eta: 1 day, 4:12:20 batch_cost: 0.9821 data_cost: 0.1168 ips: 65.1689 images/s
[03/18 14:46:52] ppdet.engine INFO: Epoch: [38] [ 80/458] learning_rate: 0.307755 loss_vfl: 1.323567 loss_bbox: 0.627517 loss_dfl: 0.475781 loss: 2.416796 eta: 1 day, 4:11:45 batch_cost: 0.7139 data_cost: 0.1131 ips: 89.6495 images/s
[03/18 14:47:10] ppdet.engine INFO: Epoch: [38] [100/458] learning_rate: 0.307727 loss_vfl: 1.282384 loss_bbox: 0.635864 loss_dfl: 0.472510 loss: 2.419346 eta: 1 day, 4:11:21 batch_cost: 0.7959 data_cost: 0.1993 ips: 80.4114 images/s
[03/18 14:47:32] ppdet.engine INFO: Epoch: [38] [120/458] learning_rate: 0.307699 loss_vfl: 1.302816 loss_bbox: 0.681595 loss_dfl: 0.494003 loss: 2.465174 eta: 1 day, 4:11:10 batch_cost: 0.8923 data_cost: 0.1154 ips: 71.7233 images/s
[03/18 14:47:50] ppdet.engine INFO: Epoch: [38] [140/458] learning_rate: 0.307671 loss_vfl: 1.314004 loss_bbox: 0.639680 loss_dfl: 0.482540 loss: 2.434381 eta: 1 day, 4:10:48 batch_cost: 0.8034 data_cost: 0.1115 ips: 79.6643 images/s
[03/18 14:48:10] ppdet.engine INFO: Epoch: [38] [160/458] learning_rate: 0.307643 loss_vfl: 1.300293 loss_bbox: 0.650503 loss_dfl: 0.472981 loss: 2.410095 eta: 1 day, 4:10:38 batch_cost: 0.9009 data_cost: 0.2480 ips: 71.0404 images/s
[03/18 14:48:28] ppdet.engine INFO: Epoch: [38] [180/458] learning_rate: 0.307614 loss_vfl: 1.363006 loss_bbox: 0.689494 loss_dfl: 0.503109 loss: 2.576453 eta: 1 day, 4:10:15 batch_cost: 0.8009 data_cost: 0.1623 ips: 79.9098 images/s
[03/18 14:48:45] ppdet.engine INFO: Epoch: [38] [200/458] learning_rate: 0.307586 loss_vfl: 1.312395 loss_bbox: 0.665686 loss_dfl: 0.478031 loss: 2.468536 eta: 1 day, 4:09:37 batch_cost: 0.6931 data_cost: 0.0708 ips: 92.3418 images/s
[03/18 14:49:08] ppdet.engine INFO: Epoch: [38] [220/458] learning_rate: 0.307558 loss_vfl: 1.325233 loss_bbox: 0.682881 loss_dfl: 0.506304 loss: 2.523082 eta: 1 day, 4:09:41 batch_cost: 0.9974 data_cost: 0.2110 ips: 64.1695 images/s
[03/18 14:49:26] ppdet.engine INFO: Epoch: [38] [240/458] learning_rate: 0.307529 loss_vfl: 1.320322 loss_bbox: 0.646033 loss_dfl: 0.485173 loss: 2.455560 eta: 1 day, 4:09:20 batch_cost: 0.8192 data_cost: 0.1471 ips: 78.1206 images/s
[03/18 14:49:43] ppdet.engine INFO: Epoch: [38] [260/458] learning_rate: 0.307501 loss_vfl: 1.278775 loss_bbox: 0.639507 loss_dfl: 0.477064 loss: 2.378707 eta: 1 day, 4:08:48 batch_cost: 0.7302 data_cost: 0.1698 ips: 87.6434 images/s
[03/18 14:49:58] ppdet.engine INFO: Epoch: [38] [280/458] learning_rate: 0.307473 loss_vfl: 1.382780 loss_bbox: 0.682963 loss_dfl: 0.509017 loss: 2.585137 eta: 1 day, 4:08:05 batch_cost: 0.6553 data_cost: 0.0904 ips: 97.6659 images/s
[03/18 14:50:14] ppdet.engine INFO: Epoch: [38] [300/458] learning_rate: 0.307444 loss_vfl: 1.335834 loss_bbox: 0.657261 loss_dfl: 0.494826 loss: 2.474277 eta: 1 day, 4:07:31 batch_cost: 0.7195 data_cost: 0.0004 ips: 88.9510 images/s
[03/18 14:50:31] ppdet.engine INFO: Epoch: [38] [320/458] learning_rate: 0.307416 loss_vfl: 1.269594 loss_bbox: 0.620795 loss_dfl: 0.455989 loss: 2.319212 eta: 1 day, 4:07:02 batch_cost: 0.7589 data_cost: 0.1270 ips: 84.3301 images/s
[03/18 14:50:52] ppdet.engine INFO: Epoch: [38] [340/458] learning_rate: 0.307387 loss_vfl: 1.288565 loss_bbox: 0.649894 loss_dfl: 0.481052 loss: 2.439676 eta: 1 day, 4:06:53 batch_cost: 0.9055 data_cost: 0.3297 ips: 70.6830 images/s
[03/18 14:51:11] ppdet.engine INFO: Epoch: [38] [360/458] learning_rate: 0.307358 loss_vfl: 1.328238 loss_bbox: 0.670858 loss_dfl: 0.487418 loss: 2.462586 eta: 1 day, 4:06:39 batch_cost: 0.8640 data_cost: 0.0595 ips: 74.0729 images/s
[03/18 14:51:32] ppdet.engine INFO: Epoch: [38] [380/458] learning_rate: 0.307330 loss_vfl: 1.372776 loss_bbox: 0.664401 loss_dfl: 0.476959 loss: 2.486763 eta: 1 day, 4:06:32 batch_cost: 0.9202 data_cost: 0.0027 ips: 69.5491 images/s
[03/18 14:51:48] ppdet.engine INFO: Epoch: [38] [400/458] learning_rate: 0.307301 loss_vfl: 1.273139 loss_bbox: 0.634537 loss_dfl: 0.458602 loss: 2.339823 eta: 1 day, 4:05:57 batch_cost: 0.7103 data_cost: 0.1134 ips: 90.0970 images/s
[03/18 14:52:07] ppdet.engine INFO: Epoch: [38] [420/458] learning_rate: 0.307273 loss_vfl: 1.337033 loss_bbox: 0.679143 loss_dfl: 0.493751 loss: 2.515493 eta: 1 day, 4:05:30 batch_cost: 0.7755 data_cost: 0.1256 ips: 82.5313 images/s
[03/18 14:52:25] ppdet.engine INFO: Epoch: [38] [440/458] learning_rate: 0.307244 loss_vfl: 1.351359 loss_bbox: 0.693200 loss_dfl: 0.507643 loss: 2.529380 eta: 1 day, 4:05:11 batch_cost: 0.8245 data_cost: 0.0412 ips: 77.6271 images/s
[03/18 14:52:45] ppdet.engine INFO: Epoch: [39] [  0/458] learning_rate: 0.307218 loss_vfl: 1.343914 loss_bbox: 0.656262 loss_dfl: 0.483772 loss: 2.476864 eta: 1 day, 4:05:13 batch_cost: 0.9918 data_cost: 0.4459 ips: 64.5309 images/s
[03/18 14:53:07] ppdet.engine INFO: Epoch: [39] [ 20/458] learning_rate: 0.307189 loss_vfl: 1.252354 loss_bbox: 0.619898 loss_dfl: 0.466077 loss: 2.322001 eta: 1 day, 4:05:09 batch_cost: 0.9405 data_cost: 0.3317 ips: 68.0477 images/s
[03/18 14:53:27] ppdet.engine INFO: Epoch: [39] [ 40/458] learning_rate: 0.307161 loss_vfl: 1.299322 loss_bbox: 0.647259 loss_dfl: 0.482093 loss: 2.419903 eta: 1 day, 4:05:01 batch_cost: 0.9124 data_cost: 0.3542 ips: 70.1476 images/s
[03/18 14:53:48] ppdet.engine INFO: Epoch: [39] [ 60/458] learning_rate: 0.307132 loss_vfl: 1.278557 loss_bbox: 0.639543 loss_dfl: 0.484298 loss: 2.447106 eta: 1 day, 4:04:57 batch_cost: 0.9412 data_cost: 0.4165 ips: 67.9979 images/s
[03/18 14:54:09] ppdet.engine INFO: Epoch: [39] [ 80/458] learning_rate: 0.307103 loss_vfl: 1.325492 loss_bbox: 0.656567 loss_dfl: 0.478032 loss: 2.426634 eta: 1 day, 4:04:42 batch_cost: 0.8628 data_cost: 0.3463 ips: 74.1759 images/s
[03/18 14:54:28] ppdet.engine INFO: Epoch: [39] [100/458] learning_rate: 0.307074 loss_vfl: 1.342727 loss_bbox: 0.671941 loss_dfl: 0.493584 loss: 2.510343 eta: 1 day, 4:04:24 batch_cost: 0.8417 data_cost: 0.3134 ips: 76.0405 images/s
[03/18 14:54:46] ppdet.engine INFO: Epoch: [39] [120/458] learning_rate: 0.307045 loss_vfl: 1.320755 loss_bbox: 0.656113 loss_dfl: 0.481917 loss: 2.460165 eta: 1 day, 4:03:58 batch_cost: 0.7715 data_cost: 0.1858 ips: 82.9551 images/s
[03/18 14:55:08] ppdet.engine INFO: Epoch: [39] [140/458] learning_rate: 0.307016 loss_vfl: 1.359090 loss_bbox: 0.665693 loss_dfl: 0.477557 loss: 2.514021 eta: 1 day, 4:03:56 batch_cost: 0.9621 data_cost: 0.2876 ips: 66.5219 images/s
[03/18 14:55:27] ppdet.engine INFO: Epoch: [39] [160/458] learning_rate: 0.306987 loss_vfl: 1.322886 loss_bbox: 0.635929 loss_dfl: 0.471447 loss: 2.421605 eta: 1 day, 4:03:32 batch_cost: 0.7932 data_cost: 0.2141 ips: 80.6835 images/s
[03/18 14:55:46] ppdet.engine INFO: Epoch: [39] [180/458] learning_rate: 0.306958 loss_vfl: 1.279174 loss_bbox: 0.638589 loss_dfl: 0.479556 loss: 2.408801 eta: 1 day, 4:03:21 batch_cost: 0.8894 data_cost: 0.2413 ips: 71.9594 images/s
[03/18 14:56:07] ppdet.engine INFO: Epoch: [39] [200/458] learning_rate: 0.306929 loss_vfl: 1.306635 loss_bbox: 0.624604 loss_dfl: 0.471079 loss: 2.409713 eta: 1 day, 4:03:08 batch_cost: 0.8758 data_cost: 0.2727 ips: 73.0729 images/s
[03/18 14:56:29] ppdet.engine INFO: Epoch: [39] [220/458] learning_rate: 0.306900 loss_vfl: 1.215847 loss_bbox: 0.621834 loss_dfl: 0.462090 loss: 2.333049 eta: 1 day, 4:03:09 batch_cost: 0.9855 data_cost: 0.3826 ips: 64.9404 images/s
[03/18 14:56:46] ppdet.engine INFO: Epoch: [39] [240/458] learning_rate: 0.306871 loss_vfl: 1.400771 loss_bbox: 0.732538 loss_dfl: 0.527730 loss: 2.662747 eta: 1 day, 4:02:40 batch_cost: 0.7508 data_cost: 0.1887 ips: 85.2447 images/s
[03/18 14:57:05] ppdet.engine INFO: Epoch: [39] [260/458] learning_rate: 0.306842 loss_vfl: 1.372541 loss_bbox: 0.725651 loss_dfl: 0.517938 loss: 2.594675 eta: 1 day, 4:02:23 batch_cost: 0.8498 data_cost: 0.2176 ips: 75.3080 images/s
[03/18 14:57:20] ppdet.engine INFO: Epoch: [39] [280/458] learning_rate: 0.306813 loss_vfl: 1.336207 loss_bbox: 0.667601 loss_dfl: 0.489971 loss: 2.507496 eta: 1 day, 4:01:33 batch_cost: 0.5901 data_cost: 0.0021 ips: 108.4612 images/s
[03/18 14:57:34] ppdet.engine INFO: Epoch: [39] [300/458] learning_rate: 0.306784 loss_vfl: 1.335694 loss_bbox: 0.645166 loss_dfl: 0.484211 loss: 2.461036 eta: 1 day, 4:00:48 batch_cost: 0.6355 data_cost: 0.0748 ips: 100.7082 images/s
[03/18 14:57:54] ppdet.engine INFO: Epoch: [39] [320/458] learning_rate: 0.306755 loss_vfl: 1.315251 loss_bbox: 0.653183 loss_dfl: 0.474929 loss: 2.441112 eta: 1 day, 4:00:32 batch_cost: 0.8502 data_cost: 0.2829 ips: 75.2766 images/s
[03/18 14:58:11] ppdet.engine INFO: Epoch: [39] [340/458] learning_rate: 0.306725 loss_vfl: 1.307279 loss_bbox: 0.691617 loss_dfl: 0.490945 loss: 2.478720 eta: 1 day, 4:00:08 batch_cost: 0.7901 data_cost: 0.1911 ips: 81.0001 images/s
[03/18 14:58:30] ppdet.engine INFO: Epoch: [39] [360/458] learning_rate: 0.306696 loss_vfl: 1.394753 loss_bbox: 0.690455 loss_dfl: 0.510096 loss: 2.595548 eta: 1 day, 3:59:53 batch_cost: 0.8590 data_cost: 0.0033 ips: 74.5062 images/s
[03/18 14:58:49] ppdet.engine INFO: Epoch: [39] [380/458] learning_rate: 0.306667 loss_vfl: 1.366089 loss_bbox: 0.662780 loss_dfl: 0.475587 loss: 2.462866 eta: 1 day, 3:59:33 batch_cost: 0.8260 data_cost: 0.0086 ips: 77.4821 images/s
[03/18 14:59:10] ppdet.engine INFO: Epoch: [39] [400/458] learning_rate: 0.306638 loss_vfl: 1.305541 loss_bbox: 0.661943 loss_dfl: 0.483674 loss: 2.430535 eta: 1 day, 3:59:28 batch_cost: 0.9360 data_cost: 0.0241 ips: 68.3768 images/s
[03/18 14:59:31] ppdet.engine INFO: Epoch: [39] [420/458] learning_rate: 0.306608 loss_vfl: 1.382578 loss_bbox: 0.700605 loss_dfl: 0.508579 loss: 2.582640 eta: 1 day, 3:59:22 batch_cost: 0.9312 data_cost: 0.0085 ips: 68.7278 images/s
[03/18 14:59:51] ppdet.engine INFO: Epoch: [39] [440/458] learning_rate: 0.306579 loss_vfl: 1.287884 loss_bbox: 0.648750 loss_dfl: 0.487086 loss: 2.423628 eta: 1 day, 3:59:09 batch_cost: 0.8767 data_cost: 0.0074 ips: 72.9982 images/s
[03/18 15:00:04] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 15:00:04] ppdet.engine INFO: Eval iter: 0
[03/18 15:00:24] ppdet.engine INFO: Eval iter: 100
[03/18 15:00:36] ppdet.engine INFO: Eval iter: 200
[03/18 15:00:48] ppdet.engine INFO: Eval iter: 300
[03/18 15:00:59] ppdet.engine INFO: Eval iter: 400
[03/18 15:01:11] ppdet.engine INFO: Eval iter: 500
[03/18 15:01:23] ppdet.engine INFO: Eval iter: 600
[03/18 15:01:37] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.58s)
creating index...
index created!
[03/18 15:01:38] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.71s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=76.01s).
Accumulating evaluation results...
DONE (t=15.70s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.173
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.277
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.179
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.047
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.160
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.307
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.200
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.322
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.340
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.082
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.359
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.591
[03/18 15:03:16] ppdet.engine INFO: Total sample number: 4952, averge FPS: 60.823532144827595
[03/18 15:03:16] ppdet.engine INFO: Best test bbox ap is 0.173.
[03/18 15:03:16] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 15:03:17] ppdet.engine INFO: Epoch: [40] [  0/458] learning_rate: 0.306552 loss_vfl: 1.311830 loss_bbox: 0.658826 loss_dfl: 0.495517 loss: 2.459385 eta: 1 day, 3:58:23 batch_cost: 0.5666 data_cost: 0.0061 ips: 112.9517 images/s
[03/18 15:03:31] ppdet.engine INFO: Epoch: [40] [ 20/458] learning_rate: 0.306523 loss_vfl: 1.336140 loss_bbox: 0.655834 loss_dfl: 0.494801 loss: 2.493825 eta: 1 day, 3:57:37 batch_cost: 0.6209 data_cost: 0.0020 ips: 103.0835 images/s
[03/18 15:03:48] ppdet.engine INFO: Epoch: [40] [ 40/458] learning_rate: 0.306493 loss_vfl: 1.317101 loss_bbox: 0.667660 loss_dfl: 0.474877 loss: 2.440583 eta: 1 day, 3:57:08 batch_cost: 0.7498 data_cost: 0.0013 ips: 85.3556 images/s
[03/18 15:04:05] ppdet.engine INFO: Epoch: [40] [ 60/458] learning_rate: 0.306464 loss_vfl: 1.248400 loss_bbox: 0.619032 loss_dfl: 0.466541 loss: 2.368378 eta: 1 day, 3:56:33 batch_cost: 0.7061 data_cost: 0.0062 ips: 90.6334 images/s
[03/18 15:04:22] ppdet.engine INFO: Epoch: [40] [ 80/458] learning_rate: 0.306434 loss_vfl: 1.285967 loss_bbox: 0.643239 loss_dfl: 0.477049 loss: 2.403236 eta: 1 day, 3:56:00 batch_cost: 0.7197 data_cost: 0.0209 ips: 88.9216 images/s
[03/18 15:04:35] ppdet.engine INFO: Epoch: [40] [100/458] learning_rate: 0.306405 loss_vfl: 1.370496 loss_bbox: 0.660329 loss_dfl: 0.479546 loss: 2.455168 eta: 1 day, 3:55:10 batch_cost: 0.5937 data_cost: 0.0021 ips: 107.7917 images/s
[03/18 15:04:53] ppdet.engine INFO: Epoch: [40] [120/458] learning_rate: 0.306375 loss_vfl: 1.306066 loss_bbox: 0.642553 loss_dfl: 0.473000 loss: 2.422309 eta: 1 day, 3:54:47 batch_cost: 0.7920 data_cost: 0.0019 ips: 80.8035 images/s
[03/18 15:05:11] ppdet.engine INFO: Epoch: [40] [140/458] learning_rate: 0.306346 loss_vfl: 1.293109 loss_bbox: 0.673590 loss_dfl: 0.492272 loss: 2.434863 eta: 1 day, 3:54:22 batch_cost: 0.7814 data_cost: 0.0017 ips: 81.9084 images/s
[03/18 15:05:32] ppdet.engine INFO: Epoch: [40] [160/458] learning_rate: 0.306316 loss_vfl: 1.342364 loss_bbox: 0.684231 loss_dfl: 0.504214 loss: 2.528694 eta: 1 day, 3:54:09 batch_cost: 0.8773 data_cost: 0.2351 ips: 72.9511 images/s
[03/18 15:05:51] ppdet.engine INFO: Epoch: [40] [180/458] learning_rate: 0.306286 loss_vfl: 1.272735 loss_bbox: 0.637723 loss_dfl: 0.481116 loss: 2.398629 eta: 1 day, 3:53:54 batch_cost: 0.8603 data_cost: 0.1315 ips: 74.3969 images/s
[03/18 15:06:09] ppdet.engine INFO: Epoch: [40] [200/458] learning_rate: 0.306257 loss_vfl: 1.323447 loss_bbox: 0.652390 loss_dfl: 0.495089 loss: 2.504556 eta: 1 day, 3:53:33 batch_cost: 0.8148 data_cost: 0.0055 ips: 78.5461 images/s
[03/18 15:06:31] ppdet.engine INFO: Epoch: [40] [220/458] learning_rate: 0.306227 loss_vfl: 1.388974 loss_bbox: 0.677150 loss_dfl: 0.514590 loss: 2.620598 eta: 1 day, 3:53:35 batch_cost: 0.9858 data_cost: 0.0045 ips: 64.9243 images/s
[03/18 15:06:47] ppdet.engine INFO: Epoch: [40] [240/458] learning_rate: 0.306197 loss_vfl: 1.304211 loss_bbox: 0.657846 loss_dfl: 0.485175 loss: 2.424587 eta: 1 day, 3:52:56 batch_cost: 0.6778 data_cost: 0.0535 ips: 94.4179 images/s
[03/18 15:07:07] ppdet.engine INFO: Epoch: [40] [260/458] learning_rate: 0.306167 loss_vfl: 1.293490 loss_bbox: 0.639035 loss_dfl: 0.477275 loss: 2.414571 eta: 1 day, 3:52:42 batch_cost: 0.8639 data_cost: 0.2030 ips: 74.0826 images/s
[03/18 15:07:25] ppdet.engine INFO: Epoch: [40] [280/458] learning_rate: 0.306137 loss_vfl: 1.331886 loss_bbox: 0.660952 loss_dfl: 0.489556 loss: 2.477736 eta: 1 day, 3:52:18 batch_cost: 0.7876 data_cost: 0.2900 ips: 81.2633 images/s
[03/18 15:07:44] ppdet.engine INFO: Epoch: [40] [300/458] learning_rate: 0.306108 loss_vfl: 1.360435 loss_bbox: 0.666348 loss_dfl: 0.499984 loss: 2.531084 eta: 1 day, 3:52:00 batch_cost: 0.8357 data_cost: 0.1893 ips: 76.5798 images/s
[03/18 15:08:04] ppdet.engine INFO: Epoch: [40] [320/458] learning_rate: 0.306078 loss_vfl: 1.316730 loss_bbox: 0.674797 loss_dfl: 0.496331 loss: 2.474295 eta: 1 day, 3:51:46 batch_cost: 0.8691 data_cost: 0.0476 ips: 73.6421 images/s
[03/18 15:08:20] ppdet.engine INFO: Epoch: [40] [340/458] learning_rate: 0.306048 loss_vfl: 1.300834 loss_bbox: 0.662451 loss_dfl: 0.487471 loss: 2.451360 eta: 1 day, 3:51:16 batch_cost: 0.7433 data_cost: 0.1912 ips: 86.1042 images/s
[03/18 15:08:40] ppdet.engine INFO: Epoch: [40] [360/458] learning_rate: 0.306018 loss_vfl: 1.249287 loss_bbox: 0.639163 loss_dfl: 0.472139 loss: 2.342260 eta: 1 day, 3:51:06 batch_cost: 0.8962 data_cost: 0.2015 ips: 71.4094 images/s
[03/18 15:09:00] ppdet.engine INFO: Epoch: [40] [380/458] learning_rate: 0.305988 loss_vfl: 1.321094 loss_bbox: 0.643092 loss_dfl: 0.484812 loss: 2.475232 eta: 1 day, 3:50:52 batch_cost: 0.8715 data_cost: 0.2803 ips: 73.4400 images/s
[03/18 15:09:18] ppdet.engine INFO: Epoch: [40] [400/458] learning_rate: 0.305958 loss_vfl: 1.356285 loss_bbox: 0.670511 loss_dfl: 0.492444 loss: 2.541202 eta: 1 day, 3:50:25 batch_cost: 0.7645 data_cost: 0.1724 ips: 83.7153 images/s
[03/18 15:09:37] ppdet.engine INFO: Epoch: [40] [420/458] learning_rate: 0.305928 loss_vfl: 1.286766 loss_bbox: 0.633918 loss_dfl: 0.473080 loss: 2.401571 eta: 1 day, 3:50:05 batch_cost: 0.8155 data_cost: 0.2072 ips: 78.4795 images/s
[03/18 15:09:58] ppdet.engine INFO: Epoch: [40] [440/458] learning_rate: 0.305898 loss_vfl: 1.290636 loss_bbox: 0.628859 loss_dfl: 0.474777 loss: 2.393500 eta: 1 day, 3:50:04 batch_cost: 0.9690 data_cost: 0.3893 ips: 66.0504 images/s
[03/18 15:10:18] ppdet.engine INFO: Epoch: [41] [  0/458] learning_rate: 0.305871 loss_vfl: 1.312206 loss_bbox: 0.620361 loss_dfl: 0.461393 loss: 2.388631 eta: 1 day, 3:50:06 batch_cost: 0.9874 data_cost: 0.3774 ips: 64.8172 images/s
[03/18 15:10:37] ppdet.engine INFO: Epoch: [41] [ 20/458] learning_rate: 0.305840 loss_vfl: 1.267585 loss_bbox: 0.627102 loss_dfl: 0.465251 loss: 2.347501 eta: 1 day, 3:49:42 batch_cost: 0.7867 data_cost: 0.0046 ips: 81.3474 images/s
[03/18 15:10:56] ppdet.engine INFO: Epoch: [41] [ 40/458] learning_rate: 0.305810 loss_vfl: 1.252119 loss_bbox: 0.638441 loss_dfl: 0.474414 loss: 2.364553 eta: 1 day, 3:49:24 batch_cost: 0.8372 data_cost: 0.0017 ips: 76.4431 images/s
[03/18 15:11:15] ppdet.engine INFO: Epoch: [41] [ 60/458] learning_rate: 0.305780 loss_vfl: 1.351308 loss_bbox: 0.680241 loss_dfl: 0.502383 loss: 2.552680 eta: 1 day, 3:49:05 batch_cost: 0.8316 data_cost: 0.0058 ips: 76.9633 images/s
[03/18 15:11:33] ppdet.engine INFO: Epoch: [41] [ 80/458] learning_rate: 0.305750 loss_vfl: 1.316947 loss_bbox: 0.632420 loss_dfl: 0.459428 loss: 2.405897 eta: 1 day, 3:48:44 batch_cost: 0.8076 data_cost: 0.1333 ips: 79.2449 images/s
[03/18 15:11:48] ppdet.engine INFO: Epoch: [41] [100/458] learning_rate: 0.305719 loss_vfl: 1.302982 loss_bbox: 0.661550 loss_dfl: 0.481638 loss: 2.436955 eta: 1 day, 3:48:00 batch_cost: 0.6293 data_cost: 0.1064 ips: 101.7009 images/s
[03/18 15:12:03] ppdet.engine INFO: Epoch: [41] [120/458] learning_rate: 0.305689 loss_vfl: 1.258704 loss_bbox: 0.667463 loss_dfl: 0.478427 loss: 2.401505 eta: 1 day, 3:47:23 batch_cost: 0.6888 data_cost: 0.0939 ips: 92.9138 images/s
[03/18 15:12:22] ppdet.engine INFO: Epoch: [41] [140/458] learning_rate: 0.305659 loss_vfl: 1.290749 loss_bbox: 0.641649 loss_dfl: 0.482188 loss: 2.461711 eta: 1 day, 3:46:59 batch_cost: 0.7841 data_cost: 0.0305 ips: 81.6219 images/s
[03/18 15:12:40] ppdet.engine INFO: Epoch: [41] [160/458] learning_rate: 0.305628 loss_vfl: 1.343262 loss_bbox: 0.676352 loss_dfl: 0.490849 loss: 2.527503 eta: 1 day, 3:46:39 batch_cost: 0.8162 data_cost: 0.0091 ips: 78.4134 images/s
[03/18 15:12:59] ppdet.engine INFO: Epoch: [41] [180/458] learning_rate: 0.305598 loss_vfl: 1.296252 loss_bbox: 0.642550 loss_dfl: 0.474754 loss: 2.428539 eta: 1 day, 3:46:23 batch_cost: 0.8575 data_cost: 0.0092 ips: 74.6369 images/s
[03/18 15:13:20] ppdet.engine INFO: Epoch: [41] [200/458] learning_rate: 0.305568 loss_vfl: 1.278536 loss_bbox: 0.639892 loss_dfl: 0.475282 loss: 2.385786 eta: 1 day, 3:46:11 batch_cost: 0.8800 data_cost: 0.0023 ips: 72.7291 images/s
[03/18 15:13:38] ppdet.engine INFO: Epoch: [41] [220/458] learning_rate: 0.305537 loss_vfl: 1.369391 loss_bbox: 0.679118 loss_dfl: 0.509513 loss: 2.586731 eta: 1 day, 3:45:51 batch_cost: 0.8178 data_cost: 0.0049 ips: 78.2625 images/s
[03/18 15:13:59] ppdet.engine INFO: Epoch: [41] [240/458] learning_rate: 0.305507 loss_vfl: 1.272722 loss_bbox: 0.635369 loss_dfl: 0.472163 loss: 2.372941 eta: 1 day, 3:45:47 batch_cost: 0.9469 data_cost: 0.0019 ips: 67.5882 images/s
[03/18 15:14:17] ppdet.engine INFO: Epoch: [41] [260/458] learning_rate: 0.305476 loss_vfl: 1.320586 loss_bbox: 0.656911 loss_dfl: 0.492802 loss: 2.508537 eta: 1 day, 3:45:20 batch_cost: 0.7610 data_cost: 0.0036 ips: 84.0969 images/s
[03/18 15:14:36] ppdet.engine INFO: Epoch: [41] [280/458] learning_rate: 0.305446 loss_vfl: 1.366749 loss_bbox: 0.687135 loss_dfl: 0.511691 loss: 2.577294 eta: 1 day, 3:45:07 batch_cost: 0.8766 data_cost: 0.0027 ips: 73.0082 images/s
[03/18 15:14:54] ppdet.engine INFO: Epoch: [41] [300/458] learning_rate: 0.305415 loss_vfl: 1.293054 loss_bbox: 0.650737 loss_dfl: 0.482832 loss: 2.420781 eta: 1 day, 3:44:44 batch_cost: 0.7971 data_cost: 0.0025 ips: 80.2905 images/s
[03/18 15:15:13] ppdet.engine INFO: Epoch: [41] [320/458] learning_rate: 0.305385 loss_vfl: 1.367975 loss_bbox: 0.677326 loss_dfl: 0.499095 loss: 2.546460 eta: 1 day, 3:44:20 batch_cost: 0.7908 data_cost: 0.0023 ips: 80.9274 images/s
[03/18 15:15:32] ppdet.engine INFO: Epoch: [41] [340/458] learning_rate: 0.305354 loss_vfl: 1.314421 loss_bbox: 0.650833 loss_dfl: 0.485983 loss: 2.463666 eta: 1 day, 3:44:10 batch_cost: 0.8995 data_cost: 0.0039 ips: 71.1490 images/s
[03/18 15:15:52] ppdet.engine INFO: Epoch: [41] [360/458] learning_rate: 0.305323 loss_vfl: 1.333825 loss_bbox: 0.664659 loss_dfl: 0.492899 loss: 2.507626 eta: 1 day, 3:43:55 batch_cost: 0.8576 data_cost: 0.0074 ips: 74.6292 images/s
[03/18 15:16:09] ppdet.engine INFO: Epoch: [41] [380/458] learning_rate: 0.305293 loss_vfl: 1.342118 loss_bbox: 0.703093 loss_dfl: 0.507841 loss: 2.552985 eta: 1 day, 3:43:24 batch_cost: 0.7276 data_cost: 0.0379 ips: 87.9648 images/s
[03/18 15:16:30] ppdet.engine INFO: Epoch: [41] [400/458] learning_rate: 0.305262 loss_vfl: 1.253169 loss_bbox: 0.599502 loss_dfl: 0.451434 loss: 2.277340 eta: 1 day, 3:43:24 batch_cost: 0.9810 data_cost: 0.1192 ips: 65.2427 images/s
[03/18 15:16:51] ppdet.engine INFO: Epoch: [41] [420/458] learning_rate: 0.305231 loss_vfl: 1.345012 loss_bbox: 0.672315 loss_dfl: 0.488233 loss: 2.462210 eta: 1 day, 3:43:15 batch_cost: 0.9071 data_cost: 0.0088 ips: 70.5512 images/s
[03/18 15:17:08] ppdet.engine INFO: Epoch: [41] [440/458] learning_rate: 0.305200 loss_vfl: 1.318093 loss_bbox: 0.641612 loss_dfl: 0.466541 loss: 2.383878 eta: 1 day, 3:42:44 batch_cost: 0.7303 data_cost: 0.0057 ips: 87.6390 images/s
[03/18 15:17:30] ppdet.engine INFO: Epoch: [42] [  0/458] learning_rate: 0.305173 loss_vfl: 1.345475 loss_bbox: 0.662275 loss_dfl: 0.494096 loss: 2.532856 eta: 1 day, 3:42:56 batch_cost: 1.0637 data_cost: 0.3262 ips: 60.1648 images/s
[03/18 15:17:47] ppdet.engine INFO: Epoch: [42] [ 20/458] learning_rate: 0.305142 loss_vfl: 1.334497 loss_bbox: 0.670234 loss_dfl: 0.489526 loss: 2.487010 eta: 1 day, 3:42:29 batch_cost: 0.7597 data_cost: 0.0017 ips: 84.2489 images/s
[03/18 15:18:08] ppdet.engine INFO: Epoch: [42] [ 40/458] learning_rate: 0.305111 loss_vfl: 1.255229 loss_bbox: 0.628748 loss_dfl: 0.467252 loss: 2.354385 eta: 1 day, 3:42:23 batch_cost: 0.9358 data_cost: 0.1701 ips: 68.3898 images/s
[03/18 15:18:27] ppdet.engine INFO: Epoch: [42] [ 60/458] learning_rate: 0.305080 loss_vfl: 1.357639 loss_bbox: 0.708250 loss_dfl: 0.519910 loss: 2.598175 eta: 1 day, 3:41:59 batch_cost: 0.7851 data_cost: 0.0610 ips: 81.5135 images/s
[03/18 15:18:45] ppdet.engine INFO: Epoch: [42] [ 80/458] learning_rate: 0.305049 loss_vfl: 1.323134 loss_bbox: 0.679566 loss_dfl: 0.494057 loss: 2.529701 eta: 1 day, 3:41:32 batch_cost: 0.7593 data_cost: 0.1449 ips: 84.2904 images/s
[03/18 15:19:02] ppdet.engine INFO: Epoch: [42] [100/458] learning_rate: 0.305018 loss_vfl: 1.266431 loss_bbox: 0.664489 loss_dfl: 0.481950 loss: 2.414737 eta: 1 day, 3:41:04 batch_cost: 0.7555 data_cost: 0.0050 ips: 84.7140 images/s
[03/18 15:19:19] ppdet.engine INFO: Epoch: [42] [120/458] learning_rate: 0.304987 loss_vfl: 1.293014 loss_bbox: 0.649598 loss_dfl: 0.496949 loss: 2.494275 eta: 1 day, 3:40:32 batch_cost: 0.7225 data_cost: 0.1385 ips: 88.5792 images/s
[03/18 15:19:35] ppdet.engine INFO: Epoch: [42] [140/458] learning_rate: 0.304956 loss_vfl: 1.296718 loss_bbox: 0.635285 loss_dfl: 0.470183 loss: 2.396782 eta: 1 day, 3:39:57 batch_cost: 0.6959 data_cost: 0.2033 ips: 91.9623 images/s
[03/18 15:19:55] ppdet.engine INFO: Epoch: [42] [160/458] learning_rate: 0.304925 loss_vfl: 1.324823 loss_bbox: 0.676148 loss_dfl: 0.483045 loss: 2.491684 eta: 1 day, 3:39:43 batch_cost: 0.8658 data_cost: 0.3325 ips: 73.9234 images/s
[03/18 15:20:14] ppdet.engine INFO: Epoch: [42] [180/458] learning_rate: 0.304894 loss_vfl: 1.278574 loss_bbox: 0.629159 loss_dfl: 0.463504 loss: 2.359557 eta: 1 day, 3:39:20 batch_cost: 0.7928 data_cost: 0.2174 ips: 80.7259 images/s
[03/18 15:20:32] ppdet.engine INFO: Epoch: [42] [200/458] learning_rate: 0.304863 loss_vfl: 1.350747 loss_bbox: 0.662302 loss_dfl: 0.487297 loss: 2.518483 eta: 1 day, 3:38:49 batch_cost: 0.7302 data_cost: 0.2366 ips: 87.6424 images/s
[03/18 15:20:52] ppdet.engine INFO: Epoch: [42] [220/458] learning_rate: 0.304832 loss_vfl: 1.276111 loss_bbox: 0.625849 loss_dfl: 0.462613 loss: 2.391324 eta: 1 day, 3:38:40 batch_cost: 0.9045 data_cost: 0.3668 ips: 70.7601 images/s
[03/18 15:21:12] ppdet.engine INFO: Epoch: [42] [240/458] learning_rate: 0.304800 loss_vfl: 1.326858 loss_bbox: 0.658351 loss_dfl: 0.492263 loss: 2.480536 eta: 1 day, 3:38:28 batch_cost: 0.8839 data_cost: 0.3389 ips: 72.4090 images/s
[03/18 15:21:32] ppdet.engine INFO: Epoch: [42] [260/458] learning_rate: 0.304769 loss_vfl: 1.280902 loss_bbox: 0.671014 loss_dfl: 0.486049 loss: 2.444259 eta: 1 day, 3:38:16 batch_cost: 0.8826 data_cost: 0.3458 ips: 72.5169 images/s
[03/18 15:21:50] ppdet.engine INFO: Epoch: [42] [280/458] learning_rate: 0.304738 loss_vfl: 1.321555 loss_bbox: 0.683356 loss_dfl: 0.492936 loss: 2.454753 eta: 1 day, 3:37:48 batch_cost: 0.7563 data_cost: 0.2103 ips: 84.6237 images/s
[03/18 15:22:07] ppdet.engine INFO: Epoch: [42] [300/458] learning_rate: 0.304707 loss_vfl: 1.248837 loss_bbox: 0.608826 loss_dfl: 0.458980 loss: 2.343037 eta: 1 day, 3:37:18 batch_cost: 0.7314 data_cost: 0.1654 ips: 87.5006 images/s
[03/18 15:22:29] ppdet.engine INFO: Epoch: [42] [320/458] learning_rate: 0.304675 loss_vfl: 1.320065 loss_bbox: 0.639386 loss_dfl: 0.487215 loss: 2.446188 eta: 1 day, 3:37:18 batch_cost: 0.9884 data_cost: 0.3678 ips: 64.7486 images/s
[03/18 15:22:48] ppdet.engine INFO: Epoch: [42] [340/458] learning_rate: 0.304644 loss_vfl: 1.393678 loss_bbox: 0.676240 loss_dfl: 0.512923 loss: 2.562726 eta: 1 day, 3:37:01 batch_cost: 0.8400 data_cost: 0.3049 ips: 76.1902 images/s
[03/18 15:23:08] ppdet.engine INFO: Epoch: [42] [360/458] learning_rate: 0.304613 loss_vfl: 1.363055 loss_bbox: 0.684920 loss_dfl: 0.486870 loss: 2.524800 eta: 1 day, 3:36:53 batch_cost: 0.9179 data_cost: 0.2944 ips: 69.7239 images/s
[03/18 15:23:28] ppdet.engine INFO: Epoch: [42] [380/458] learning_rate: 0.304581 loss_vfl: 1.329113 loss_bbox: 0.682395 loss_dfl: 0.496565 loss: 2.491943 eta: 1 day, 3:36:39 batch_cost: 0.8667 data_cost: 0.2291 ips: 73.8468 images/s
[03/18 15:23:47] ppdet.engine INFO: Epoch: [42] [400/458] learning_rate: 0.304550 loss_vfl: 1.299925 loss_bbox: 0.634934 loss_dfl: 0.472054 loss: 2.395441 eta: 1 day, 3:36:28 batch_cost: 0.8932 data_cost: 0.2561 ips: 71.6492 images/s
[03/18 15:24:04] ppdet.engine INFO: Epoch: [42] [420/458] learning_rate: 0.304518 loss_vfl: 1.368779 loss_bbox: 0.682988 loss_dfl: 0.501799 loss: 2.552032 eta: 1 day, 3:35:55 batch_cost: 0.7145 data_cost: 0.0425 ips: 89.5702 images/s
[03/18 15:24:24] ppdet.engine INFO: Epoch: [42] [440/458] learning_rate: 0.304487 loss_vfl: 1.294145 loss_bbox: 0.642088 loss_dfl: 0.466252 loss: 2.358473 eta: 1 day, 3:35:42 batch_cost: 0.8757 data_cost: 0.0385 ips: 73.0826 images/s
[03/18 15:24:46] ppdet.engine INFO: Epoch: [43] [  0/458] learning_rate: 0.304459 loss_vfl: 1.348280 loss_bbox: 0.689489 loss_dfl: 0.502348 loss: 2.546646 eta: 1 day, 3:35:50 batch_cost: 1.0157 data_cost: 0.4124 ips: 63.0108 images/s
[03/18 15:25:05] ppdet.engine INFO: Epoch: [43] [ 20/458] learning_rate: 0.304427 loss_vfl: 1.318385 loss_bbox: 0.660840 loss_dfl: 0.488386 loss: 2.471299 eta: 1 day, 3:35:25 batch_cost: 0.7691 data_cost: 0.0100 ips: 83.2184 images/s
[03/18 15:25:24] ppdet.engine INFO: Epoch: [43] [ 40/458] learning_rate: 0.304395 loss_vfl: 1.273553 loss_bbox: 0.636791 loss_dfl: 0.472038 loss: 2.359637 eta: 1 day, 3:35:08 batch_cost: 0.8480 data_cost: 0.0057 ips: 75.4716 images/s
[03/18 15:25:45] ppdet.engine INFO: Epoch: [43] [ 60/458] learning_rate: 0.304364 loss_vfl: 1.317635 loss_bbox: 0.649937 loss_dfl: 0.482308 loss: 2.441366 eta: 1 day, 3:35:02 batch_cost: 0.9327 data_cost: 0.0035 ips: 68.6173 images/s
[03/18 15:26:05] ppdet.engine INFO: Epoch: [43] [ 80/458] learning_rate: 0.304332 loss_vfl: 1.252337 loss_bbox: 0.626831 loss_dfl: 0.458127 loss: 2.310342 eta: 1 day, 3:34:53 batch_cost: 0.9104 data_cost: 0.0053 ips: 70.2979 images/s
[03/18 15:26:20] ppdet.engine INFO: Epoch: [43] [100/458] learning_rate: 0.304301 loss_vfl: 1.278704 loss_bbox: 0.624668 loss_dfl: 0.463135 loss: 2.359196 eta: 1 day, 3:34:14 batch_cost: 0.6614 data_cost: 0.0037 ips: 96.7586 images/s
[03/18 15:26:34] ppdet.engine INFO: Epoch: [43] [120/458] learning_rate: 0.304269 loss_vfl: 1.329424 loss_bbox: 0.639913 loss_dfl: 0.478963 loss: 2.406838 eta: 1 day, 3:33:29 batch_cost: 0.6073 data_cost: 0.0142 ips: 105.3885 images/s
[03/18 15:26:49] ppdet.engine INFO: Epoch: [43] [140/458] learning_rate: 0.304237 loss_vfl: 1.295044 loss_bbox: 0.614793 loss_dfl: 0.460134 loss: 2.379018 eta: 1 day, 3:32:51 batch_cost: 0.6618 data_cost: 0.1883 ips: 96.7077 images/s
[03/18 15:27:09] ppdet.engine INFO: Epoch: [43] [160/458] learning_rate: 0.304205 loss_vfl: 1.261791 loss_bbox: 0.635619 loss_dfl: 0.463417 loss: 2.345365 eta: 1 day, 3:32:36 batch_cost: 0.8637 data_cost: 0.0615 ips: 74.0972 images/s
[03/18 15:27:28] ppdet.engine INFO: Epoch: [43] [180/458] learning_rate: 0.304174 loss_vfl: 1.345699 loss_bbox: 0.636830 loss_dfl: 0.481028 loss: 2.468765 eta: 1 day, 3:32:18 batch_cost: 0.8345 data_cost: 0.0049 ips: 76.6932 images/s
[03/18 15:27:47] ppdet.engine INFO: Epoch: [43] [200/458] learning_rate: 0.304142 loss_vfl: 1.305775 loss_bbox: 0.696736 loss_dfl: 0.504768 loss: 2.493567 eta: 1 day, 3:32:01 batch_cost: 0.8414 data_cost: 0.0036 ips: 76.0592 images/s
[03/18 15:28:06] ppdet.engine INFO: Epoch: [43] [220/458] learning_rate: 0.304110 loss_vfl: 1.324904 loss_bbox: 0.657259 loss_dfl: 0.490998 loss: 2.463872 eta: 1 day, 3:31:44 batch_cost: 0.8430 data_cost: 0.0055 ips: 75.9235 images/s
[03/18 15:28:23] ppdet.engine INFO: Epoch: [43] [240/458] learning_rate: 0.304078 loss_vfl: 1.323027 loss_bbox: 0.653181 loss_dfl: 0.486798 loss: 2.481128 eta: 1 day, 3:31:12 batch_cost: 0.7145 data_cost: 0.0053 ips: 89.5754 images/s
[03/18 15:28:41] ppdet.engine INFO: Epoch: [43] [260/458] learning_rate: 0.304046 loss_vfl: 1.304859 loss_bbox: 0.658690 loss_dfl: 0.487463 loss: 2.424168 eta: 1 day, 3:30:57 batch_cost: 0.8541 data_cost: 0.0031 ips: 74.9345 images/s
[03/18 15:29:01] ppdet.engine INFO: Epoch: [43] [280/458] learning_rate: 0.304014 loss_vfl: 1.330048 loss_bbox: 0.655197 loss_dfl: 0.480518 loss: 2.444867 eta: 1 day, 3:30:47 batch_cost: 0.9016 data_cost: 0.0033 ips: 70.9823 images/s
[03/18 15:29:21] ppdet.engine INFO: Epoch: [43] [300/458] learning_rate: 0.303982 loss_vfl: 1.242759 loss_bbox: 0.612423 loss_dfl: 0.459994 loss: 2.316605 eta: 1 day, 3:30:33 batch_cost: 0.8680 data_cost: 0.0037 ips: 73.7315 images/s
[03/18 15:29:43] ppdet.engine INFO: Epoch: [43] [320/458] learning_rate: 0.303950 loss_vfl: 1.321025 loss_bbox: 0.652623 loss_dfl: 0.473291 loss: 2.488076 eta: 1 day, 3:30:28 batch_cost: 0.9487 data_cost: 0.0019 ips: 67.4623 images/s
[03/18 15:30:01] ppdet.engine INFO: Epoch: [43] [340/458] learning_rate: 0.303918 loss_vfl: 1.355240 loss_bbox: 0.673274 loss_dfl: 0.501423 loss: 2.522506 eta: 1 day, 3:30:09 batch_cost: 0.8220 data_cost: 0.0040 ips: 77.8582 images/s
[03/18 15:30:20] ppdet.engine INFO: Epoch: [43] [360/458] learning_rate: 0.303886 loss_vfl: 1.307070 loss_bbox: 0.647183 loss_dfl: 0.480896 loss: 2.448722 eta: 1 day, 3:29:53 batch_cost: 0.8487 data_cost: 0.0037 ips: 75.4051 images/s
[03/18 15:30:37] ppdet.engine INFO: Epoch: [43] [380/458] learning_rate: 0.303854 loss_vfl: 1.349939 loss_bbox: 0.667079 loss_dfl: 0.496714 loss: 2.530835 eta: 1 day, 3:29:27 batch_cost: 0.7690 data_cost: 0.0026 ips: 83.2284 images/s
[03/18 15:30:58] ppdet.engine INFO: Epoch: [43] [400/458] learning_rate: 0.303822 loss_vfl: 1.314443 loss_bbox: 0.648309 loss_dfl: 0.481854 loss: 2.434113 eta: 1 day, 3:29:18 batch_cost: 0.9084 data_cost: 0.0059 ips: 70.4524 images/s
[03/18 15:31:19] ppdet.engine INFO: Epoch: [43] [420/458] learning_rate: 0.303790 loss_vfl: 1.326967 loss_bbox: 0.673757 loss_dfl: 0.493853 loss: 2.480867 eta: 1 day, 3:29:14 batch_cost: 0.9598 data_cost: 0.0011 ips: 66.6833 images/s
[03/18 15:31:36] ppdet.engine INFO: Epoch: [43] [440/458] learning_rate: 0.303758 loss_vfl: 1.341471 loss_bbox: 0.669905 loss_dfl: 0.492665 loss: 2.484415 eta: 1 day, 3:28:45 batch_cost: 0.7329 data_cost: 0.0036 ips: 87.3188 images/s
[03/18 15:31:56] ppdet.engine INFO: Epoch: [44] [  0/458] learning_rate: 0.303729 loss_vfl: 1.314609 loss_bbox: 0.678510 loss_dfl: 0.490080 loss: 2.433477 eta: 1 day, 3:28:44 batch_cost: 0.9644 data_cost: 0.2486 ips: 66.3595 images/s
[03/18 15:32:15] ppdet.engine INFO: Epoch: [44] [ 20/458] learning_rate: 0.303697 loss_vfl: 1.349329 loss_bbox: 0.628339 loss_dfl: 0.484965 loss: 2.464350 eta: 1 day, 3:28:24 batch_cost: 0.8148 data_cost: 0.0344 ips: 78.5427 images/s
[03/18 15:32:35] ppdet.engine INFO: Epoch: [44] [ 40/458] learning_rate: 0.303664 loss_vfl: 1.319099 loss_bbox: 0.657153 loss_dfl: 0.478964 loss: 2.455645 eta: 1 day, 3:28:06 batch_cost: 0.8397 data_cost: 0.0065 ips: 76.2144 images/s
[03/18 15:32:54] ppdet.engine INFO: Epoch: [44] [ 60/458] learning_rate: 0.303632 loss_vfl: 1.279092 loss_bbox: 0.649421 loss_dfl: 0.480091 loss: 2.408213 eta: 1 day, 3:27:54 batch_cost: 0.8799 data_cost: 0.0068 ips: 72.7356 images/s
[03/18 15:33:13] ppdet.engine INFO: Epoch: [44] [ 80/458] learning_rate: 0.303600 loss_vfl: 1.310558 loss_bbox: 0.642192 loss_dfl: 0.483867 loss: 2.439255 eta: 1 day, 3:27:35 batch_cost: 0.8297 data_cost: 0.0060 ips: 77.1319 images/s
[03/18 15:33:32] ppdet.engine INFO: Epoch: [44] [100/458] learning_rate: 0.303567 loss_vfl: 1.313901 loss_bbox: 0.673679 loss_dfl: 0.495240 loss: 2.490656 eta: 1 day, 3:27:15 batch_cost: 0.8169 data_cost: 0.0033 ips: 78.3432 images/s
[03/18 15:33:50] ppdet.engine INFO: Epoch: [44] [120/458] learning_rate: 0.303535 loss_vfl: 1.318017 loss_bbox: 0.645763 loss_dfl: 0.488440 loss: 2.438703 eta: 1 day, 3:26:56 batch_cost: 0.8253 data_cost: 0.0009 ips: 77.5482 images/s
[03/18 15:34:05] ppdet.engine INFO: Epoch: [44] [140/458] learning_rate: 0.303502 loss_vfl: 1.281383 loss_bbox: 0.663117 loss_dfl: 0.484241 loss: 2.420828 eta: 1 day, 3:26:17 batch_cost: 0.6525 data_cost: 0.0033 ips: 98.0900 images/s
[03/18 15:34:22] ppdet.engine INFO: Epoch: [44] [160/458] learning_rate: 0.303470 loss_vfl: 1.336581 loss_bbox: 0.715450 loss_dfl: 0.506460 loss: 2.576024 eta: 1 day, 3:25:46 batch_cost: 0.7187 data_cost: 0.0067 ips: 89.0510 images/s
[03/18 15:34:39] ppdet.engine INFO: Epoch: [44] [180/458] learning_rate: 0.303438 loss_vfl: 1.350751 loss_bbox: 0.681776 loss_dfl: 0.508438 loss: 2.569324 eta: 1 day, 3:25:24 batch_cost: 0.7961 data_cost: 0.0068 ips: 80.3918 images/s
[03/18 15:34:59] ppdet.engine INFO: Epoch: [44] [200/458] learning_rate: 0.303405 loss_vfl: 1.258213 loss_bbox: 0.639668 loss_dfl: 0.469839 loss: 2.369638 eta: 1 day, 3:25:11 batch_cost: 0.8779 data_cost: 0.0048 ips: 72.8981 images/s
[03/18 15:35:20] ppdet.engine INFO: Epoch: [44] [220/458] learning_rate: 0.303373 loss_vfl: 1.363822 loss_bbox: 0.670307 loss_dfl: 0.504464 loss: 2.539984 eta: 1 day, 3:25:01 batch_cost: 0.9029 data_cost: 0.0019 ips: 70.8819 images/s
[03/18 15:35:38] ppdet.engine INFO: Epoch: [44] [240/458] learning_rate: 0.303340 loss_vfl: 1.275889 loss_bbox: 0.652255 loss_dfl: 0.483754 loss: 2.429895 eta: 1 day, 3:24:43 batch_cost: 0.8368 data_cost: 0.0028 ips: 76.4795 images/s
[03/18 15:35:55] ppdet.engine INFO: Epoch: [44] [260/458] learning_rate: 0.303307 loss_vfl: 1.319242 loss_bbox: 0.657837 loss_dfl: 0.477547 loss: 2.453742 eta: 1 day, 3:24:15 batch_cost: 0.7501 data_cost: 0.0052 ips: 85.3202 images/s
[03/18 15:36:15] ppdet.engine INFO: Epoch: [44] [280/458] learning_rate: 0.303275 loss_vfl: 1.311225 loss_bbox: 0.669801 loss_dfl: 0.483655 loss: 2.448618 eta: 1 day, 3:24:05 batch_cost: 0.8996 data_cost: 0.0044 ips: 71.1429 images/s
[03/18 15:36:34] ppdet.engine INFO: Epoch: [44] [300/458] learning_rate: 0.303242 loss_vfl: 1.310570 loss_bbox: 0.649152 loss_dfl: 0.486778 loss: 2.448623 eta: 1 day, 3:23:43 batch_cost: 0.7969 data_cost: 0.0089 ips: 80.3160 images/s
[03/18 15:36:52] ppdet.engine INFO: Epoch: [44] [320/458] learning_rate: 0.303209 loss_vfl: 1.334148 loss_bbox: 0.658615 loss_dfl: 0.499563 loss: 2.525432 eta: 1 day, 3:23:25 batch_cost: 0.8325 data_cost: 0.0026 ips: 76.8780 images/s
[03/18 15:37:13] ppdet.engine INFO: Epoch: [44] [340/458] learning_rate: 0.303177 loss_vfl: 1.337360 loss_bbox: 0.669336 loss_dfl: 0.499523 loss: 2.509321 eta: 1 day, 3:23:19 batch_cost: 0.9402 data_cost: 0.0078 ips: 68.0718 images/s
[03/18 15:37:33] ppdet.engine INFO: Epoch: [44] [360/458] learning_rate: 0.303144 loss_vfl: 1.312303 loss_bbox: 0.668216 loss_dfl: 0.487952 loss: 2.448670 eta: 1 day, 3:23:09 batch_cost: 0.9049 data_cost: 0.0365 ips: 70.7268 images/s
[03/18 15:37:51] ppdet.engine INFO: Epoch: [44] [380/458] learning_rate: 0.303111 loss_vfl: 1.369612 loss_bbox: 0.654885 loss_dfl: 0.491539 loss: 2.510373 eta: 1 day, 3:22:43 batch_cost: 0.7643 data_cost: 0.0010 ips: 83.7384 images/s
[03/18 15:38:07] ppdet.engine INFO: Epoch: [44] [400/458] learning_rate: 0.303078 loss_vfl: 1.277617 loss_bbox: 0.621868 loss_dfl: 0.472077 loss: 2.373503 eta: 1 day, 3:22:05 batch_cost: 0.6576 data_cost: 0.0225 ips: 97.3209 images/s
[03/18 15:38:28] ppdet.engine INFO: Epoch: [44] [420/458] learning_rate: 0.303046 loss_vfl: 1.354982 loss_bbox: 0.663940 loss_dfl: 0.499819 loss: 2.564543 eta: 1 day, 3:21:58 batch_cost: 0.9295 data_cost: 0.0974 ips: 68.8540 images/s
[03/18 15:38:46] ppdet.engine INFO: Epoch: [44] [440/458] learning_rate: 0.303013 loss_vfl: 1.275634 loss_bbox: 0.617784 loss_dfl: 0.467382 loss: 2.348952 eta: 1 day, 3:21:31 batch_cost: 0.7488 data_cost: 0.0042 ips: 85.4719 images/s
[03/18 15:39:11] ppdet.engine INFO: Epoch: [45] [  0/458] learning_rate: 0.302983 loss_vfl: 1.294412 loss_bbox: 0.619313 loss_dfl: 0.475673 loss: 2.432709 eta: 1 day, 3:21:53 batch_cost: 1.1287 data_cost: 0.4838 ips: 56.7035 images/s
[03/18 15:39:28] ppdet.engine INFO: Epoch: [45] [ 20/458] learning_rate: 0.302950 loss_vfl: 1.342289 loss_bbox: 0.689461 loss_dfl: 0.484190 loss: 2.487820 eta: 1 day, 3:21:27 batch_cost: 0.7608 data_cost: 0.0021 ips: 84.1245 images/s
[03/18 15:39:48] ppdet.engine INFO: Epoch: [45] [ 40/458] learning_rate: 0.302917 loss_vfl: 1.280822 loss_bbox: 0.607999 loss_dfl: 0.477799 loss: 2.372236 eta: 1 day, 3:21:10 batch_cost: 0.8453 data_cost: 0.0050 ips: 75.7108 images/s
[03/18 15:40:07] ppdet.engine INFO: Epoch: [45] [ 60/458] learning_rate: 0.302884 loss_vfl: 1.307549 loss_bbox: 0.629673 loss_dfl: 0.469952 loss: 2.426177 eta: 1 day, 3:20:42 batch_cost: 0.7449 data_cost: 0.0023 ips: 85.9135 images/s
[03/18 15:40:27] ppdet.engine INFO: Epoch: [45] [ 80/458] learning_rate: 0.302851 loss_vfl: 1.306935 loss_bbox: 0.635796 loss_dfl: 0.469592 loss: 2.436454 eta: 1 day, 3:20:29 batch_cost: 0.8790 data_cost: 0.0011 ips: 72.8100 images/s
[03/18 15:40:45] ppdet.engine INFO: Epoch: [45] [100/458] learning_rate: 0.302818 loss_vfl: 1.319817 loss_bbox: 0.658693 loss_dfl: 0.478032 loss: 2.453389 eta: 1 day, 3:20:13 batch_cost: 0.8502 data_cost: 0.0467 ips: 75.2796 images/s
[03/18 15:41:05] ppdet.engine INFO: Epoch: [45] [120/458] learning_rate: 0.302785 loss_vfl: 1.228002 loss_bbox: 0.615644 loss_dfl: 0.455906 loss: 2.304324 eta: 1 day, 3:20:00 batch_cost: 0.8718 data_cost: 0.0049 ips: 73.4084 images/s
[03/18 15:41:21] ppdet.engine INFO: Epoch: [45] [140/458] learning_rate: 0.302752 loss_vfl: 1.331902 loss_bbox: 0.680742 loss_dfl: 0.501018 loss: 2.502264 eta: 1 day, 3:19:27 batch_cost: 0.7034 data_cost: 0.0029 ips: 90.9857 images/s
[03/18 15:41:38] ppdet.engine INFO: Epoch: [45] [160/458] learning_rate: 0.302719 loss_vfl: 1.295492 loss_bbox: 0.645920 loss_dfl: 0.473924 loss: 2.402486 eta: 1 day, 3:18:56 batch_cost: 0.7165 data_cost: 0.0039 ips: 89.3224 images/s
[03/18 15:41:51] ppdet.engine INFO: Epoch: [45] [180/458] learning_rate: 0.302686 loss_vfl: 1.326487 loss_bbox: 0.674306 loss_dfl: 0.486786 loss: 2.478358 eta: 1 day, 3:18:11 batch_cost: 0.5940 data_cost: 0.0003 ips: 107.7436 images/s
[03/18 15:42:11] ppdet.engine INFO: Epoch: [45] [200/458] learning_rate: 0.302652 loss_vfl: 1.372867 loss_bbox: 0.713362 loss_dfl: 0.516035 loss: 2.584725 eta: 1 day, 3:17:58 batch_cost: 0.8727 data_cost: 0.0222 ips: 73.3398 images/s
[03/18 15:42:30] ppdet.engine INFO: Epoch: [45] [220/458] learning_rate: 0.302619 loss_vfl: 1.255053 loss_bbox: 0.652730 loss_dfl: 0.470259 loss: 2.346455 eta: 1 day, 3:17:36 batch_cost: 0.7966 data_cost: 0.1112 ips: 80.3436 images/s
[03/18 15:42:49] ppdet.engine INFO: Epoch: [45] [240/458] learning_rate: 0.302586 loss_vfl: 1.327775 loss_bbox: 0.620999 loss_dfl: 0.470713 loss: 2.417116 eta: 1 day, 3:17:15 batch_cost: 0.8104 data_cost: 0.2620 ips: 78.9737 images/s
[03/18 15:43:10] ppdet.engine INFO: Epoch: [45] [260/458] learning_rate: 0.302553 loss_vfl: 1.307410 loss_bbox: 0.644607 loss_dfl: 0.491876 loss: 2.444161 eta: 1 day, 3:17:09 batch_cost: 0.9356 data_cost: 0.3785 ips: 68.4050 images/s
[03/18 15:43:28] ppdet.engine INFO: Epoch: [45] [280/458] learning_rate: 0.302519 loss_vfl: 1.304754 loss_bbox: 0.645017 loss_dfl: 0.478839 loss: 2.417257 eta: 1 day, 3:16:49 batch_cost: 0.8177 data_cost: 0.3147 ips: 78.2647 images/s
[03/18 15:43:47] ppdet.engine INFO: Epoch: [45] [300/458] learning_rate: 0.302486 loss_vfl: 1.292538 loss_bbox: 0.675692 loss_dfl: 0.494584 loss: 2.512882 eta: 1 day, 3:16:27 batch_cost: 0.7966 data_cost: 0.1972 ips: 80.3409 images/s
[03/18 15:44:08] ppdet.engine INFO: Epoch: [45] [320/458] learning_rate: 0.302453 loss_vfl: 1.352235 loss_bbox: 0.683710 loss_dfl: 0.510193 loss: 2.539742 eta: 1 day, 3:16:16 batch_cost: 0.8998 data_cost: 0.3308 ips: 71.1254 images/s
[03/18 15:44:31] ppdet.engine INFO: Epoch: [45] [340/458] learning_rate: 0.302419 loss_vfl: 1.379897 loss_bbox: 0.688731 loss_dfl: 0.504822 loss: 2.551970 eta: 1 day, 3:16:14 batch_cost: 0.9759 data_cost: 0.4259 ips: 65.5834 images/s
[03/18 15:44:46] ppdet.engine INFO: Epoch: [45] [360/458] learning_rate: 0.302386 loss_vfl: 1.241419 loss_bbox: 0.611830 loss_dfl: 0.467861 loss: 2.320424 eta: 1 day, 3:15:36 batch_cost: 0.6509 data_cost: 0.1455 ips: 98.3291 images/s
[03/18 15:45:07] ppdet.engine INFO: Epoch: [45] [380/458] learning_rate: 0.302352 loss_vfl: 1.296034 loss_bbox: 0.616059 loss_dfl: 0.466581 loss: 2.352980 eta: 1 day, 3:15:31 batch_cost: 0.9488 data_cost: 0.3052 ips: 67.4517 images/s
[03/18 15:45:27] ppdet.engine INFO: Epoch: [45] [400/458] learning_rate: 0.302319 loss_vfl: 1.281452 loss_bbox: 0.652648 loss_dfl: 0.482114 loss: 2.442608 eta: 1 day, 3:15:21 batch_cost: 0.9024 data_cost: 0.0078 ips: 70.9245 images/s
[03/18 15:45:46] ppdet.engine INFO: Epoch: [45] [420/458] learning_rate: 0.302285 loss_vfl: 1.351327 loss_bbox: 0.681417 loss_dfl: 0.492087 loss: 2.494380 eta: 1 day, 3:14:56 batch_cost: 0.7755 data_cost: 0.0046 ips: 82.5299 images/s
[03/18 15:46:06] ppdet.engine INFO: Epoch: [45] [440/458] learning_rate: 0.302252 loss_vfl: 1.305391 loss_bbox: 0.648192 loss_dfl: 0.481433 loss: 2.447740 eta: 1 day, 3:14:46 batch_cost: 0.9059 data_cost: 0.1840 ips: 70.6519 images/s
[03/18 15:46:29] ppdet.engine INFO: Epoch: [46] [  0/458] learning_rate: 0.302222 loss_vfl: 1.207621 loss_bbox: 0.617504 loss_dfl: 0.461764 loss: 2.270814 eta: 1 day, 3:15:04 batch_cost: 1.1132 data_cost: 0.2897 ips: 57.4937 images/s
[03/18 15:46:46] ppdet.engine INFO: Epoch: [46] [ 20/458] learning_rate: 0.302188 loss_vfl: 1.355677 loss_bbox: 0.681495 loss_dfl: 0.511167 loss: 2.553858 eta: 1 day, 3:14:36 batch_cost: 0.7373 data_cost: 0.0068 ips: 86.8053 images/s
[03/18 15:47:05] ppdet.engine INFO: Epoch: [46] [ 40/458] learning_rate: 0.302154 loss_vfl: 1.313610 loss_bbox: 0.660686 loss_dfl: 0.487415 loss: 2.457331 eta: 1 day, 3:14:14 batch_cost: 0.7988 data_cost: 0.0106 ips: 80.1189 images/s
[03/18 15:47:26] ppdet.engine INFO: Epoch: [46] [ 60/458] learning_rate: 0.302121 loss_vfl: 1.318355 loss_bbox: 0.655406 loss_dfl: 0.480734 loss: 2.476347 eta: 1 day, 3:14:08 batch_cost: 0.9437 data_cost: 0.0050 ips: 67.8206 images/s
[03/18 15:47:45] ppdet.engine INFO: Epoch: [46] [ 80/458] learning_rate: 0.302087 loss_vfl: 1.321551 loss_bbox: 0.636910 loss_dfl: 0.467171 loss: 2.439685 eta: 1 day, 3:13:53 batch_cost: 0.8629 data_cost: 0.0014 ips: 74.1673 images/s
[03/18 15:48:06] ppdet.engine INFO: Epoch: [46] [100/458] learning_rate: 0.302053 loss_vfl: 1.315546 loss_bbox: 0.633538 loss_dfl: 0.469204 loss: 2.422040 eta: 1 day, 3:13:53 batch_cost: 0.9927 data_cost: 0.0050 ips: 64.4708 images/s
[03/18 15:48:23] ppdet.engine INFO: Epoch: [46] [120/458] learning_rate: 0.302020 loss_vfl: 1.317380 loss_bbox: 0.649005 loss_dfl: 0.474039 loss: 2.438202 eta: 1 day, 3:13:26 batch_cost: 0.7482 data_cost: 0.0030 ips: 85.5406 images/s
[03/18 15:48:42] ppdet.engine INFO: Epoch: [46] [140/458] learning_rate: 0.301986 loss_vfl: 1.335715 loss_bbox: 0.657691 loss_dfl: 0.485992 loss: 2.484318 eta: 1 day, 3:13:09 batch_cost: 0.8456 data_cost: 0.0019 ips: 75.6890 images/s
[03/18 15:48:56] ppdet.engine INFO: Epoch: [46] [160/458] learning_rate: 0.301952 loss_vfl: 1.342071 loss_bbox: 0.665883 loss_dfl: 0.489332 loss: 2.503884 eta: 1 day, 3:12:28 batch_cost: 0.6243 data_cost: 0.0026 ips: 102.5179 images/s
[03/18 15:49:12] ppdet.engine INFO: Epoch: [46] [180/458] learning_rate: 0.301918 loss_vfl: 1.300581 loss_bbox: 0.688532 loss_dfl: 0.496748 loss: 2.496227 eta: 1 day, 3:11:58 batch_cost: 0.7241 data_cost: 0.0051 ips: 88.3902 images/s
[03/18 15:49:33] ppdet.engine INFO: Epoch: [46] [200/458] learning_rate: 0.301884 loss_vfl: 1.309996 loss_bbox: 0.635184 loss_dfl: 0.479826 loss: 2.424221 eta: 1 day, 3:11:51 batch_cost: 0.9337 data_cost: 0.0038 ips: 68.5447 images/s
[03/18 15:49:52] ppdet.engine INFO: Epoch: [46] [220/458] learning_rate: 0.301850 loss_vfl: 1.295262 loss_bbox: 0.627339 loss_dfl: 0.477184 loss: 2.418394 eta: 1 day, 3:11:32 batch_cost: 0.8244 data_cost: 0.0078 ips: 77.6344 images/s
[03/18 15:50:12] ppdet.engine INFO: Epoch: [46] [240/458] learning_rate: 0.301816 loss_vfl: 1.254870 loss_bbox: 0.628590 loss_dfl: 0.477074 loss: 2.397158 eta: 1 day, 3:11:24 batch_cost: 0.9244 data_cost: 0.0022 ips: 69.2346 images/s
[03/18 15:50:31] ppdet.engine INFO: Epoch: [46] [260/458] learning_rate: 0.301782 loss_vfl: 1.299620 loss_bbox: 0.680144 loss_dfl: 0.493564 loss: 2.467046 eta: 1 day, 3:11:08 batch_cost: 0.8512 data_cost: 0.0069 ips: 75.1915 images/s
[03/18 15:50:50] ppdet.engine INFO: Epoch: [46] [280/458] learning_rate: 0.301748 loss_vfl: 1.364653 loss_bbox: 0.670485 loss_dfl: 0.494757 loss: 2.506430 eta: 1 day, 3:10:56 batch_cost: 0.8811 data_cost: 0.0101 ips: 72.6387 images/s
[03/18 15:51:11] ppdet.engine INFO: Epoch: [46] [300/458] learning_rate: 0.301714 loss_vfl: 1.295093 loss_bbox: 0.648605 loss_dfl: 0.489418 loss: 2.450792 eta: 1 day, 3:10:49 batch_cost: 0.9350 data_cost: 0.0056 ips: 68.4524 images/s
[03/18 15:51:31] ppdet.engine INFO: Epoch: [46] [320/458] learning_rate: 0.301680 loss_vfl: 1.268840 loss_bbox: 0.664025 loss_dfl: 0.475949 loss: 2.370700 eta: 1 day, 3:10:35 batch_cost: 0.8750 data_cost: 0.0044 ips: 73.1398 images/s
[03/18 15:51:50] ppdet.engine INFO: Epoch: [46] [340/458] learning_rate: 0.301646 loss_vfl: 1.372355 loss_bbox: 0.635857 loss_dfl: 0.477008 loss: 2.467493 eta: 1 day, 3:10:23 batch_cost: 0.8892 data_cost: 0.0093 ips: 71.9785 images/s
[03/18 15:52:12] ppdet.engine INFO: Epoch: [46] [360/458] learning_rate: 0.301612 loss_vfl: 1.229424 loss_bbox: 0.636706 loss_dfl: 0.463128 loss: 2.329036 eta: 1 day, 3:10:25 batch_cost: 1.0149 data_cost: 0.0049 ips: 63.0610 images/s
[03/18 15:52:29] ppdet.engine INFO: Epoch: [46] [380/458] learning_rate: 0.301578 loss_vfl: 1.375333 loss_bbox: 0.666853 loss_dfl: 0.500587 loss: 2.532496 eta: 1 day, 3:10:01 batch_cost: 0.7799 data_cost: 0.0053 ips: 82.0658 images/s
[03/18 15:52:47] ppdet.engine INFO: Epoch: [46] [400/458] learning_rate: 0.301544 loss_vfl: 1.317331 loss_bbox: 0.658593 loss_dfl: 0.489384 loss: 2.464490 eta: 1 day, 3:09:39 batch_cost: 0.7878 data_cost: 0.0117 ips: 81.2344 images/s
[03/18 15:53:10] ppdet.engine INFO: Epoch: [46] [420/458] learning_rate: 0.301510 loss_vfl: 1.314929 loss_bbox: 0.680865 loss_dfl: 0.484471 loss: 2.474371 eta: 1 day, 3:09:43 batch_cost: 1.0439 data_cost: 0.0016 ips: 61.3088 images/s
[03/18 15:53:29] ppdet.engine INFO: Epoch: [46] [440/458] learning_rate: 0.301475 loss_vfl: 1.264811 loss_bbox: 0.633965 loss_dfl: 0.479226 loss: 2.381028 eta: 1 day, 3:09:29 batch_cost: 0.8696 data_cost: 0.0016 ips: 73.5954 images/s
[03/18 15:53:48] ppdet.engine INFO: Epoch: [47] [  0/458] learning_rate: 0.301445 loss_vfl: 1.329659 loss_bbox: 0.666886 loss_dfl: 0.493579 loss: 2.494861 eta: 1 day, 3:09:25 batch_cost: 0.9164 data_cost: 0.2278 ips: 69.8356 images/s
[03/18 15:54:05] ppdet.engine INFO: Epoch: [47] [ 20/458] learning_rate: 0.301410 loss_vfl: 1.335689 loss_bbox: 0.661028 loss_dfl: 0.492535 loss: 2.487383 eta: 1 day, 3:08:54 batch_cost: 0.7143 data_cost: 0.0130 ips: 89.6000 images/s
[03/18 15:54:25] ppdet.engine INFO: Epoch: [47] [ 40/458] learning_rate: 0.301376 loss_vfl: 1.272211 loss_bbox: 0.657328 loss_dfl: 0.475368 loss: 2.393799 eta: 1 day, 3:08:41 batch_cost: 0.8758 data_cost: 0.0054 ips: 73.0727 images/s
[03/18 15:54:45] ppdet.engine INFO: Epoch: [47] [ 60/458] learning_rate: 0.301342 loss_vfl: 1.413417 loss_bbox: 0.720082 loss_dfl: 0.522333 loss: 2.643272 eta: 1 day, 3:08:22 batch_cost: 0.8199 data_cost: 0.0043 ips: 78.0568 images/s
[03/18 15:55:05] ppdet.engine INFO: Epoch: [47] [ 80/458] learning_rate: 0.301307 loss_vfl: 1.337148 loss_bbox: 0.686093 loss_dfl: 0.499466 loss: 2.531550 eta: 1 day, 3:08:12 batch_cost: 0.9126 data_cost: 0.0015 ips: 70.1256 images/s
[03/18 15:55:26] ppdet.engine INFO: Epoch: [47] [100/458] learning_rate: 0.301273 loss_vfl: 1.304918 loss_bbox: 0.630011 loss_dfl: 0.485133 loss: 2.437191 eta: 1 day, 3:08:08 batch_cost: 0.9594 data_cost: 0.0014 ips: 66.7117 images/s
[03/18 15:55:44] ppdet.engine INFO: Epoch: [47] [120/458] learning_rate: 0.301238 loss_vfl: 1.305335 loss_bbox: 0.648255 loss_dfl: 0.478336 loss: 2.416032 eta: 1 day, 3:07:46 batch_cost: 0.8003 data_cost: 0.0024 ips: 79.9664 images/s
[03/18 15:55:57] ppdet.engine INFO: Epoch: [47] [140/458] learning_rate: 0.301204 loss_vfl: 1.353789 loss_bbox: 0.648767 loss_dfl: 0.481237 loss: 2.444282 eta: 1 day, 3:06:56 batch_cost: 0.5300 data_cost: 0.0021 ips: 120.7500 images/s
[03/18 15:56:15] ppdet.engine INFO: Epoch: [47] [160/458] learning_rate: 0.301169 loss_vfl: 1.342287 loss_bbox: 0.676411 loss_dfl: 0.505985 loss: 2.543758 eta: 1 day, 3:06:33 batch_cost: 0.7887 data_cost: 0.0023 ips: 81.1448 images/s
[03/18 15:56:30] ppdet.engine INFO: Epoch: [47] [180/458] learning_rate: 0.301135 loss_vfl: 1.334941 loss_bbox: 0.688479 loss_dfl: 0.496878 loss: 2.517107 eta: 1 day, 3:05:56 batch_cost: 0.6594 data_cost: 0.0007 ips: 97.0639 images/s
[03/18 15:56:49] ppdet.engine INFO: Epoch: [47] [200/458] learning_rate: 0.301100 loss_vfl: 1.369955 loss_bbox: 0.663011 loss_dfl: 0.492459 loss: 2.514399 eta: 1 day, 3:05:43 batch_cost: 0.8720 data_cost: 0.0041 ips: 73.3911 images/s
[03/18 15:57:09] ppdet.engine INFO: Epoch: [47] [220/458] learning_rate: 0.301066 loss_vfl: 1.318094 loss_bbox: 0.648610 loss_dfl: 0.483628 loss: 2.471664 eta: 1 day, 3:05:25 batch_cost: 0.8389 data_cost: 0.0009 ips: 76.2918 images/s
[03/18 15:57:27] ppdet.engine INFO: Epoch: [47] [240/458] learning_rate: 0.301031 loss_vfl: 1.326126 loss_bbox: 0.645566 loss_dfl: 0.480518 loss: 2.468601 eta: 1 day, 3:05:03 batch_cost: 0.7894 data_cost: 0.0035 ips: 81.0761 images/s
[03/18 15:57:47] ppdet.engine INFO: Epoch: [47] [260/458] learning_rate: 0.300996 loss_vfl: 1.314113 loss_bbox: 0.624753 loss_dfl: 0.479780 loss: 2.413787 eta: 1 day, 3:04:55 batch_cost: 0.9244 data_cost: 0.0017 ips: 69.2375 images/s
[03/18 15:58:05] ppdet.engine INFO: Epoch: [47] [280/458] learning_rate: 0.300962 loss_vfl: 1.333585 loss_bbox: 0.691660 loss_dfl: 0.501274 loss: 2.554819 eta: 1 day, 3:04:31 batch_cost: 0.7789 data_cost: 0.0101 ips: 82.1685 images/s
[03/18 15:58:22] ppdet.engine INFO: Epoch: [47] [300/458] learning_rate: 0.300927 loss_vfl: 1.271730 loss_bbox: 0.634023 loss_dfl: 0.468283 loss: 2.354517 eta: 1 day, 3:04:01 batch_cost: 0.7226 data_cost: 0.0017 ips: 88.5674 images/s
[03/18 15:58:43] ppdet.engine INFO: Epoch: [47] [320/458] learning_rate: 0.300892 loss_vfl: 1.329875 loss_bbox: 0.631596 loss_dfl: 0.478909 loss: 2.466252 eta: 1 day, 3:03:46 batch_cost: 0.8630 data_cost: 0.0002 ips: 74.1618 images/s
[03/18 15:59:02] ppdet.engine INFO: Epoch: [47] [340/458] learning_rate: 0.300858 loss_vfl: 1.321376 loss_bbox: 0.644912 loss_dfl: 0.489113 loss: 2.467782 eta: 1 day, 3:03:34 batch_cost: 0.8893 data_cost: 0.0028 ips: 71.9689 images/s
[03/18 15:59:22] ppdet.engine INFO: Epoch: [47] [360/458] learning_rate: 0.300823 loss_vfl: 1.384142 loss_bbox: 0.698524 loss_dfl: 0.520078 loss: 2.611724 eta: 1 day, 3:03:18 batch_cost: 0.8519 data_cost: 0.0026 ips: 75.1288 images/s
[03/18 15:59:45] ppdet.engine INFO: Epoch: [47] [380/458] learning_rate: 0.300788 loss_vfl: 1.285141 loss_bbox: 0.669276 loss_dfl: 0.485847 loss: 2.457043 eta: 1 day, 3:03:25 batch_cost: 1.0683 data_cost: 0.0020 ips: 59.9093 images/s
[03/18 16:00:02] ppdet.engine INFO: Epoch: [47] [400/458] learning_rate: 0.300753 loss_vfl: 1.275781 loss_bbox: 0.641844 loss_dfl: 0.470648 loss: 2.409416 eta: 1 day, 3:02:56 batch_cost: 0.7215 data_cost: 0.0038 ips: 88.7009 images/s
[03/18 16:00:23] ppdet.engine INFO: Epoch: [47] [420/458] learning_rate: 0.300718 loss_vfl: 1.325719 loss_bbox: 0.674107 loss_dfl: 0.480814 loss: 2.463991 eta: 1 day, 3:02:48 batch_cost: 0.9286 data_cost: 0.0017 ips: 68.9205 images/s
[03/18 16:00:41] ppdet.engine INFO: Epoch: [47] [440/458] learning_rate: 0.300683 loss_vfl: 1.361504 loss_bbox: 0.696330 loss_dfl: 0.502428 loss: 2.546247 eta: 1 day, 3:02:26 batch_cost: 0.7925 data_cost: 0.0045 ips: 80.7530 images/s
[03/18 16:01:03] ppdet.engine INFO: Epoch: [48] [  0/458] learning_rate: 0.300652 loss_vfl: 1.321539 loss_bbox: 0.661696 loss_dfl: 0.480957 loss: 2.475015 eta: 1 day, 3:02:31 batch_cost: 1.0561 data_cost: 0.3762 ips: 60.5997 images/s
[03/18 16:01:21] ppdet.engine INFO: Epoch: [48] [ 20/458] learning_rate: 0.300617 loss_vfl: 1.352782 loss_bbox: 0.683676 loss_dfl: 0.494275 loss: 2.541062 eta: 1 day, 3:02:08 batch_cost: 0.7903 data_cost: 0.1222 ips: 80.9817 images/s
[03/18 16:01:41] ppdet.engine INFO: Epoch: [48] [ 40/458] learning_rate: 0.300582 loss_vfl: 1.319375 loss_bbox: 0.645199 loss_dfl: 0.496312 loss: 2.469969 eta: 1 day, 3:01:54 batch_cost: 0.8695 data_cost: 0.0051 ips: 73.6044 images/s
[03/18 16:01:58] ppdet.engine INFO: Epoch: [48] [ 60/458] learning_rate: 0.300547 loss_vfl: 1.275317 loss_bbox: 0.639117 loss_dfl: 0.468253 loss: 2.389311 eta: 1 day, 3:01:31 batch_cost: 0.7894 data_cost: 0.0014 ips: 81.0758 images/s
[03/18 16:02:18] ppdet.engine INFO: Epoch: [48] [ 80/458] learning_rate: 0.300512 loss_vfl: 1.427471 loss_bbox: 0.713137 loss_dfl: 0.517909 loss: 2.665126 eta: 1 day, 3:01:09 batch_cost: 0.7884 data_cost: 0.0023 ips: 81.1770 images/s
[03/18 16:02:38] ppdet.engine INFO: Epoch: [48] [100/458] learning_rate: 0.300477 loss_vfl: 1.316918 loss_bbox: 0.658913 loss_dfl: 0.488051 loss: 2.454268 eta: 1 day, 3:00:57 batch_cost: 0.8875 data_cost: 0.2282 ips: 72.1100 images/s
[03/18 16:02:55] ppdet.engine INFO: Epoch: [48] [120/458] learning_rate: 0.300442 loss_vfl: 1.311678 loss_bbox: 0.677021 loss_dfl: 0.496897 loss: 2.484825 eta: 1 day, 3:00:27 batch_cost: 0.7249 data_cost: 0.1520 ips: 88.2864 images/s
[03/18 16:03:17] ppdet.engine INFO: Epoch: [48] [140/458] learning_rate: 0.300406 loss_vfl: 1.313891 loss_bbox: 0.652370 loss_dfl: 0.492645 loss: 2.426281 eta: 1 day, 3:00:25 batch_cost: 0.9827 data_cost: 0.3489 ips: 65.1286 images/s
[03/18 16:03:32] ppdet.engine INFO: Epoch: [48] [160/458] learning_rate: 0.300371 loss_vfl: 1.245245 loss_bbox: 0.603487 loss_dfl: 0.453138 loss: 2.285459 eta: 1 day, 2:59:49 batch_cost: 0.6554 data_cost: 0.2074 ips: 97.6498 images/s
[03/18 16:03:47] ppdet.engine INFO: Epoch: [48] [180/458] learning_rate: 0.300336 loss_vfl: 1.297686 loss_bbox: 0.661762 loss_dfl: 0.482872 loss: 2.467136 eta: 1 day, 2:59:13 batch_cost: 0.6609 data_cost: 0.1753 ips: 96.8415 images/s
[03/18 16:04:03] ppdet.engine INFO: Epoch: [48] [200/458] learning_rate: 0.300301 loss_vfl: 1.333319 loss_bbox: 0.650056 loss_dfl: 0.481515 loss: 2.492825 eta: 1 day, 2:58:44 batch_cost: 0.7242 data_cost: 0.2230 ips: 88.3768 images/s
[03/18 16:04:23] ppdet.engine INFO: Epoch: [48] [220/458] learning_rate: 0.300266 loss_vfl: 1.394866 loss_bbox: 0.670009 loss_dfl: 0.507996 loss: 2.580259 eta: 1 day, 2:58:26 batch_cost: 0.8376 data_cost: 0.2204 ips: 76.4083 images/s
[03/18 16:04:40] ppdet.engine INFO: Epoch: [48] [240/458] learning_rate: 0.300230 loss_vfl: 1.287551 loss_bbox: 0.661069 loss_dfl: 0.486168 loss: 2.446353 eta: 1 day, 2:58:01 batch_cost: 0.7645 data_cost: 0.2331 ips: 83.7141 images/s
[03/18 16:04:58] ppdet.engine INFO: Epoch: [48] [260/458] learning_rate: 0.300195 loss_vfl: 1.245148 loss_bbox: 0.616988 loss_dfl: 0.454663 loss: 2.290622 eta: 1 day, 2:57:39 batch_cost: 0.7914 data_cost: 0.1532 ips: 80.8657 images/s
[03/18 16:05:18] ppdet.engine INFO: Epoch: [48] [280/458] learning_rate: 0.300160 loss_vfl: 1.273907 loss_bbox: 0.653490 loss_dfl: 0.479339 loss: 2.394595 eta: 1 day, 2:57:27 batch_cost: 0.8882 data_cost: 0.1527 ips: 72.0566 images/s
[03/18 16:05:37] ppdet.engine INFO: Epoch: [48] [300/458] learning_rate: 0.300124 loss_vfl: 1.310173 loss_bbox: 0.650969 loss_dfl: 0.481376 loss: 2.462534 eta: 1 day, 2:57:12 batch_cost: 0.8669 data_cost: 0.2870 ips: 73.8278 images/s
[03/18 16:05:57] ppdet.engine INFO: Epoch: [48] [320/458] learning_rate: 0.300089 loss_vfl: 1.289518 loss_bbox: 0.637803 loss_dfl: 0.474212 loss: 2.407614 eta: 1 day, 2:56:54 batch_cost: 0.8295 data_cost: 0.1320 ips: 77.1537 images/s
[03/18 16:06:18] ppdet.engine INFO: Epoch: [48] [340/458] learning_rate: 0.300053 loss_vfl: 1.311122 loss_bbox: 0.662548 loss_dfl: 0.488196 loss: 2.454574 eta: 1 day, 2:56:50 batch_cost: 0.9678 data_cost: 0.0325 ips: 66.1306 images/s
[03/18 16:06:37] ppdet.engine INFO: Epoch: [48] [360/458] learning_rate: 0.300018 loss_vfl: 1.335913 loss_bbox: 0.626800 loss_dfl: 0.483267 loss: 2.450819 eta: 1 day, 2:56:33 batch_cost: 0.8426 data_cost: 0.0017 ips: 75.9581 images/s
[03/18 16:06:56] ppdet.engine INFO: Epoch: [48] [380/458] learning_rate: 0.299982 loss_vfl: 1.318243 loss_bbox: 0.638100 loss_dfl: 0.483480 loss: 2.419062 eta: 1 day, 2:56:17 batch_cost: 0.8444 data_cost: 0.0006 ips: 75.7895 images/s
[03/18 16:07:14] ppdet.engine INFO: Epoch: [48] [400/458] learning_rate: 0.299947 loss_vfl: 1.353622 loss_bbox: 0.693057 loss_dfl: 0.505494 loss: 2.559177 eta: 1 day, 2:55:50 batch_cost: 0.7439 data_cost: 0.0501 ips: 86.0363 images/s
[03/18 16:07:32] ppdet.engine INFO: Epoch: [48] [420/458] learning_rate: 0.299911 loss_vfl: 1.295002 loss_bbox: 0.661652 loss_dfl: 0.481815 loss: 2.456150 eta: 1 day, 2:55:27 batch_cost: 0.7888 data_cost: 0.1820 ips: 81.1384 images/s
[03/18 16:07:53] ppdet.engine INFO: Epoch: [48] [440/458] learning_rate: 0.299876 loss_vfl: 1.401848 loss_bbox: 0.682761 loss_dfl: 0.499015 loss: 2.615041 eta: 1 day, 2:55:18 batch_cost: 0.9174 data_cost: 0.1184 ips: 69.7592 images/s
[03/18 16:08:14] ppdet.engine INFO: Epoch: [49] [  0/458] learning_rate: 0.299844 loss_vfl: 1.328094 loss_bbox: 0.665467 loss_dfl: 0.488278 loss: 2.478485 eta: 1 day, 2:55:20 batch_cost: 1.0822 data_cost: 0.3253 ips: 59.1410 images/s
[03/18 16:08:31] ppdet.engine INFO: Epoch: [49] [ 20/458] learning_rate: 0.299808 loss_vfl: 1.242196 loss_bbox: 0.597075 loss_dfl: 0.444070 loss: 2.320920 eta: 1 day, 2:54:45 batch_cost: 0.6658 data_cost: 0.0031 ips: 96.1240 images/s
[03/18 16:08:51] ppdet.engine INFO: Epoch: [49] [ 40/458] learning_rate: 0.299772 loss_vfl: 1.368422 loss_bbox: 0.666812 loss_dfl: 0.492180 loss: 2.502466 eta: 1 day, 2:54:33 batch_cost: 0.8888 data_cost: 0.0489 ips: 72.0046 images/s
[03/18 16:09:09] ppdet.engine INFO: Epoch: [49] [ 60/458] learning_rate: 0.299737 loss_vfl: 1.306438 loss_bbox: 0.651214 loss_dfl: 0.478297 loss: 2.424906 eta: 1 day, 2:54:08 batch_cost: 0.7688 data_cost: 0.1173 ips: 83.2443 images/s
[03/18 16:09:28] ppdet.engine INFO: Epoch: [49] [ 80/458] learning_rate: 0.299701 loss_vfl: 1.302631 loss_bbox: 0.654194 loss_dfl: 0.471678 loss: 2.387004 eta: 1 day, 2:53:52 batch_cost: 0.8507 data_cost: 0.2148 ips: 75.2334 images/s
[03/18 16:09:48] ppdet.engine INFO: Epoch: [49] [100/458] learning_rate: 0.299665 loss_vfl: 1.292261 loss_bbox: 0.654136 loss_dfl: 0.490009 loss: 2.444633 eta: 1 day, 2:53:44 batch_cost: 0.9286 data_cost: 0.2550 ips: 68.9221 images/s
[03/18 16:10:05] ppdet.engine INFO: Epoch: [49] [120/458] learning_rate: 0.299629 loss_vfl: 1.292397 loss_bbox: 0.631162 loss_dfl: 0.471167 loss: 2.386835 eta: 1 day, 2:53:14 batch_cost: 0.7074 data_cost: 0.0003 ips: 90.4703 images/s
[03/18 16:10:27] ppdet.engine INFO: Epoch: [49] [140/458] learning_rate: 0.299594 loss_vfl: 1.355050 loss_bbox: 0.690955 loss_dfl: 0.505345 loss: 2.548709 eta: 1 day, 2:53:04 batch_cost: 0.9135 data_cost: 0.2668 ips: 70.0573 images/s
[03/18 16:10:47] ppdet.engine INFO: Epoch: [49] [160/458] learning_rate: 0.299558 loss_vfl: 1.333714 loss_bbox: 0.634154 loss_dfl: 0.487082 loss: 2.470463 eta: 1 day, 2:52:56 batch_cost: 0.9299 data_cost: 0.3211 ips: 68.8241 images/s
[03/18 16:11:02] ppdet.engine INFO: Epoch: [49] [180/458] learning_rate: 0.299522 loss_vfl: 1.321884 loss_bbox: 0.654350 loss_dfl: 0.481513 loss: 2.436917 eta: 1 day, 2:52:18 batch_cost: 0.6326 data_cost: 0.1690 ips: 101.1758 images/s
[03/18 16:11:16] ppdet.engine INFO: Epoch: [49] [200/458] learning_rate: 0.299486 loss_vfl: 1.361413 loss_bbox: 0.667768 loss_dfl: 0.500374 loss: 2.553766 eta: 1 day, 2:51:42 batch_cost: 0.6538 data_cost: 0.1444 ips: 97.8861 images/s
[03/18 16:11:32] ppdet.engine INFO: Epoch: [49] [220/458] learning_rate: 0.299450 loss_vfl: 1.316841 loss_bbox: 0.672623 loss_dfl: 0.483314 loss: 2.513217 eta: 1 day, 2:51:06 batch_cost: 0.6612 data_cost: 0.0261 ips: 96.7869 images/s
[03/18 16:11:52] ppdet.engine INFO: Epoch: [49] [240/458] learning_rate: 0.299414 loss_vfl: 1.340432 loss_bbox: 0.683755 loss_dfl: 0.498333 loss: 2.512580 eta: 1 day, 2:50:48 batch_cost: 0.8233 data_cost: 0.0019 ips: 77.7397 images/s
[03/18 16:12:09] ppdet.engine INFO: Epoch: [49] [260/458] learning_rate: 0.299378 loss_vfl: 1.353618 loss_bbox: 0.653396 loss_dfl: 0.487883 loss: 2.507725 eta: 1 day, 2:50:19 batch_cost: 0.7296 data_cost: 0.0989 ips: 87.7233 images/s
[03/18 16:12:28] ppdet.engine INFO: Epoch: [49] [280/458] learning_rate: 0.299342 loss_vfl: 1.336919 loss_bbox: 0.665842 loss_dfl: 0.496807 loss: 2.501499 eta: 1 day, 2:50:04 batch_cost: 0.8565 data_cost: 0.0926 ips: 74.7234 images/s
[03/18 16:12:46] ppdet.engine INFO: Epoch: [49] [300/458] learning_rate: 0.299306 loss_vfl: 1.275842 loss_bbox: 0.629356 loss_dfl: 0.466381 loss: 2.364468 eta: 1 day, 2:49:48 batch_cost: 0.8514 data_cost: 0.2504 ips: 75.1686 images/s
[03/18 16:13:05] ppdet.engine INFO: Epoch: [49] [320/458] learning_rate: 0.299270 loss_vfl: 1.255686 loss_bbox: 0.622928 loss_dfl: 0.468303 loss: 2.335894 eta: 1 day, 2:49:31 batch_cost: 0.8452 data_cost: 0.1074 ips: 75.7209 images/s
[03/18 16:13:24] ppdet.engine INFO: Epoch: [49] [340/458] learning_rate: 0.299234 loss_vfl: 1.278628 loss_bbox: 0.623318 loss_dfl: 0.454110 loss: 2.332302 eta: 1 day, 2:49:07 batch_cost: 0.7630 data_cost: 0.0054 ips: 83.8796 images/s
[03/18 16:13:43] ppdet.engine INFO: Epoch: [49] [360/458] learning_rate: 0.299198 loss_vfl: 1.241363 loss_bbox: 0.603058 loss_dfl: 0.451966 loss: 2.296716 eta: 1 day, 2:48:54 batch_cost: 0.8836 data_cost: 0.0040 ips: 72.4322 images/s
[03/18 16:14:03] ppdet.engine INFO: Epoch: [49] [380/458] learning_rate: 0.299161 loss_vfl: 1.272563 loss_bbox: 0.651777 loss_dfl: 0.478579 loss: 2.415893 eta: 1 day, 2:48:39 batch_cost: 0.8593 data_cost: 0.0386 ips: 74.4776 images/s
[03/18 16:14:21] ppdet.engine INFO: Epoch: [49] [400/458] learning_rate: 0.299125 loss_vfl: 1.307253 loss_bbox: 0.677529 loss_dfl: 0.499091 loss: 2.503024 eta: 1 day, 2:48:14 batch_cost: 0.7605 data_cost: 0.0091 ips: 84.1519 images/s
[03/18 16:14:41] ppdet.engine INFO: Epoch: [49] [420/458] learning_rate: 0.299089 loss_vfl: 1.355344 loss_bbox: 0.656056 loss_dfl: 0.497757 loss: 2.523019 eta: 1 day, 2:48:00 batch_cost: 0.8712 data_cost: 0.0142 ips: 73.4597 images/s
[03/18 16:15:01] ppdet.engine INFO: Epoch: [49] [440/458] learning_rate: 0.299053 loss_vfl: 1.291293 loss_bbox: 0.628179 loss_dfl: 0.466268 loss: 2.419144 eta: 1 day, 2:47:51 batch_cost: 0.9239 data_cost: 0.0035 ips: 69.2690 images/s
[03/18 16:15:13] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 16:15:13] ppdet.engine INFO: Eval iter: 0
[03/18 16:15:34] ppdet.engine INFO: Eval iter: 100
[03/18 16:15:45] ppdet.engine INFO: Eval iter: 200
[03/18 16:15:56] ppdet.engine INFO: Eval iter: 300
[03/18 16:16:07] ppdet.engine INFO: Eval iter: 400
[03/18 16:16:18] ppdet.engine INFO: Eval iter: 500
[03/18 16:16:29] ppdet.engine INFO: Eval iter: 600
[03/18 16:16:43] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.87s)
creating index...
index created!
[03/18 16:16:44] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.30s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=78.52s).
Accumulating evaluation results...
DONE (t=15.09s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.178
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.285
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.185
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.051
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.167
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.315
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.203
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.327
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.346
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.085
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.368
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.599
[03/18 16:18:24] ppdet.engine INFO: Total sample number: 4952, averge FPS: 63.07082082428981
[03/18 16:18:24] ppdet.engine INFO: Best test bbox ap is 0.178.
[03/18 16:18:24] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 16:18:24] ppdet.engine INFO: Epoch: [50] [  0/458] learning_rate: 0.299020 loss_vfl: 1.264838 loss_bbox: 0.641285 loss_dfl: 0.470550 loss: 2.383042 eta: 1 day, 2:47:05 batch_cost: 0.4936 data_cost: 0.0017 ips: 129.6549 images/s
[03/18 16:18:38] ppdet.engine INFO: Epoch: [50] [ 20/458] learning_rate: 0.298984 loss_vfl: 1.292438 loss_bbox: 0.640259 loss_dfl: 0.475314 loss: 2.378018 eta: 1 day, 2:46:22 batch_cost: 0.5786 data_cost: 0.1111 ips: 110.6096 images/s
[03/18 16:18:59] ppdet.engine INFO: Epoch: [50] [ 40/458] learning_rate: 0.298947 loss_vfl: 1.277063 loss_bbox: 0.649543 loss_dfl: 0.465780 loss: 2.359678 eta: 1 day, 2:46:13 batch_cost: 0.9176 data_cost: 0.1579 ips: 69.7451 images/s
[03/18 16:19:20] ppdet.engine INFO: Epoch: [50] [ 60/458] learning_rate: 0.298911 loss_vfl: 1.286392 loss_bbox: 0.647848 loss_dfl: 0.467994 loss: 2.405710 eta: 1 day, 2:46:07 batch_cost: 0.9491 data_cost: 0.1824 ips: 67.4317 images/s
[03/18 16:19:40] ppdet.engine INFO: Epoch: [50] [ 80/458] learning_rate: 0.298875 loss_vfl: 1.299582 loss_bbox: 0.669201 loss_dfl: 0.490041 loss: 2.463577 eta: 1 day, 2:45:56 batch_cost: 0.9025 data_cost: 0.3009 ips: 70.9164 images/s
[03/18 16:20:01] ppdet.engine INFO: Epoch: [50] [100/458] learning_rate: 0.298838 loss_vfl: 1.297829 loss_bbox: 0.669271 loss_dfl: 0.476945 loss: 2.422008 eta: 1 day, 2:45:45 batch_cost: 0.9025 data_cost: 0.0342 ips: 70.9124 images/s
[03/18 16:20:21] ppdet.engine INFO: Epoch: [50] [120/458] learning_rate: 0.298802 loss_vfl: 1.283707 loss_bbox: 0.649331 loss_dfl: 0.484326 loss: 2.421790 eta: 1 day, 2:45:27 batch_cost: 0.8297 data_cost: 0.0068 ips: 77.1400 images/s
[03/18 16:20:43] ppdet.engine INFO: Epoch: [50] [140/458] learning_rate: 0.298765 loss_vfl: 1.367298 loss_bbox: 0.680773 loss_dfl: 0.497456 loss: 2.542693 eta: 1 day, 2:45:27 batch_cost: 1.0172 data_cost: 0.3242 ips: 62.9163 images/s
[03/18 16:21:03] ppdet.engine INFO: Epoch: [50] [160/458] learning_rate: 0.298729 loss_vfl: 1.209782 loss_bbox: 0.613417 loss_dfl: 0.454835 loss: 2.297281 eta: 1 day, 2:45:12 batch_cost: 0.8625 data_cost: 0.3818 ips: 74.2004 images/s
[03/18 16:21:21] ppdet.engine INFO: Epoch: [50] [180/458] learning_rate: 0.298692 loss_vfl: 1.309121 loss_bbox: 0.656476 loss_dfl: 0.480749 loss: 2.481044 eta: 1 day, 2:44:52 batch_cost: 0.8053 data_cost: 0.2641 ips: 79.4691 images/s
[03/18 16:21:39] ppdet.engine INFO: Epoch: [50] [200/458] learning_rate: 0.298656 loss_vfl: 1.272815 loss_bbox: 0.641325 loss_dfl: 0.479436 loss: 2.406026 eta: 1 day, 2:44:27 batch_cost: 0.7610 data_cost: 0.0734 ips: 84.0961 images/s
[03/18 16:22:00] ppdet.engine INFO: Epoch: [50] [220/458] learning_rate: 0.298619 loss_vfl: 1.264929 loss_bbox: 0.638488 loss_dfl: 0.478927 loss: 2.394823 eta: 1 day, 2:44:21 batch_cost: 0.9524 data_cost: 0.0044 ips: 67.1966 images/s
[03/18 16:22:20] ppdet.engine INFO: Epoch: [50] [240/458] learning_rate: 0.298582 loss_vfl: 1.409976 loss_bbox: 0.690273 loss_dfl: 0.515325 loss: 2.608732 eta: 1 day, 2:43:56 batch_cost: 0.7604 data_cost: 0.0533 ips: 84.1669 images/s
[03/18 16:22:40] ppdet.engine INFO: Epoch: [50] [260/458] learning_rate: 0.298546 loss_vfl: 1.236113 loss_bbox: 0.625783 loss_dfl: 0.448229 loss: 2.307495 eta: 1 day, 2:43:45 batch_cost: 0.8987 data_cost: 0.0013 ips: 71.2104 images/s
[03/18 16:22:58] ppdet.engine INFO: Epoch: [50] [280/458] learning_rate: 0.298509 loss_vfl: 1.270620 loss_bbox: 0.620562 loss_dfl: 0.460489 loss: 2.340991 eta: 1 day, 2:43:17 batch_cost: 0.7321 data_cost: 0.0253 ips: 87.4229 images/s
[03/18 16:23:20] ppdet.engine INFO: Epoch: [50] [300/458] learning_rate: 0.298472 loss_vfl: 1.281323 loss_bbox: 0.646242 loss_dfl: 0.492699 loss: 2.413161 eta: 1 day, 2:43:13 batch_cost: 0.9733 data_cost: 0.0843 ips: 65.7579 images/s
[03/18 16:23:39] ppdet.engine INFO: Epoch: [50] [320/458] learning_rate: 0.298436 loss_vfl: 1.254990 loss_bbox: 0.631826 loss_dfl: 0.456673 loss: 2.314673 eta: 1 day, 2:42:53 batch_cost: 0.8079 data_cost: 0.0036 ips: 79.2170 images/s
[03/18 16:23:56] ppdet.engine INFO: Epoch: [50] [340/458] learning_rate: 0.298399 loss_vfl: 1.321893 loss_bbox: 0.631440 loss_dfl: 0.475970 loss: 2.431973 eta: 1 day, 2:42:26 batch_cost: 0.7390 data_cost: 0.0970 ips: 86.6055 images/s
[03/18 16:24:18] ppdet.engine INFO: Epoch: [50] [360/458] learning_rate: 0.298362 loss_vfl: 1.366629 loss_bbox: 0.660352 loss_dfl: 0.498440 loss: 2.542688 eta: 1 day, 2:42:20 batch_cost: 0.9525 data_cost: 0.2422 ips: 67.1947 images/s
[03/18 16:24:37] ppdet.engine INFO: Epoch: [50] [380/458] learning_rate: 0.298325 loss_vfl: 1.352147 loss_bbox: 0.669694 loss_dfl: 0.498803 loss: 2.545156 eta: 1 day, 2:42:02 batch_cost: 0.8306 data_cost: 0.0452 ips: 77.0560 images/s
[03/18 16:24:58] ppdet.engine INFO: Epoch: [50] [400/458] learning_rate: 0.298288 loss_vfl: 1.342962 loss_bbox: 0.676338 loss_dfl: 0.500160 loss: 2.522808 eta: 1 day, 2:41:56 batch_cost: 0.9539 data_cost: 0.0005 ips: 67.0919 images/s
[03/18 16:25:13] ppdet.engine INFO: Epoch: [50] [420/458] learning_rate: 0.298251 loss_vfl: 1.284631 loss_bbox: 0.665985 loss_dfl: 0.477364 loss: 2.423472 eta: 1 day, 2:41:22 batch_cost: 0.6655 data_cost: 0.0052 ips: 96.1673 images/s
[03/18 16:25:29] ppdet.engine INFO: Epoch: [50] [440/458] learning_rate: 0.298214 loss_vfl: 1.323438 loss_bbox: 0.675352 loss_dfl: 0.490250 loss: 2.497025 eta: 1 day, 2:40:49 batch_cost: 0.6747 data_cost: 0.0621 ips: 94.8638 images/s
[03/18 16:25:46] ppdet.engine INFO: Epoch: [51] [  0/458] learning_rate: 0.298181 loss_vfl: 1.304368 loss_bbox: 0.650647 loss_dfl: 0.488097 loss: 2.483458 eta: 1 day, 2:40:28 batch_cost: 0.7563 data_cost: 0.2301 ips: 84.6193 images/s
[03/18 16:26:04] ppdet.engine INFO: Epoch: [51] [ 20/458] learning_rate: 0.298144 loss_vfl: 1.265847 loss_bbox: 0.635845 loss_dfl: 0.466714 loss: 2.346751 eta: 1 day, 2:39:58 batch_cost: 0.7094 data_cost: 0.0208 ips: 90.2183 images/s
[03/18 16:26:23] ppdet.engine INFO: Epoch: [51] [ 40/458] learning_rate: 0.298107 loss_vfl: 1.279153 loss_bbox: 0.632778 loss_dfl: 0.466421 loss: 2.402144 eta: 1 day, 2:39:46 batch_cost: 0.8826 data_cost: 0.0031 ips: 72.5105 images/s
[03/18 16:26:43] ppdet.engine INFO: Epoch: [51] [ 60/458] learning_rate: 0.298070 loss_vfl: 1.265091 loss_bbox: 0.653588 loss_dfl: 0.482734 loss: 2.417229 eta: 1 day, 2:39:26 batch_cost: 0.8186 data_cost: 0.0063 ips: 78.1791 images/s
[03/18 16:27:01] ppdet.engine INFO: Epoch: [51] [ 80/458] learning_rate: 0.298033 loss_vfl: 1.300648 loss_bbox: 0.647386 loss_dfl: 0.469927 loss: 2.418513 eta: 1 day, 2:39:02 batch_cost: 0.7640 data_cost: 0.0060 ips: 83.7689 images/s
[03/18 16:27:21] ppdet.engine INFO: Epoch: [51] [100/458] learning_rate: 0.297996 loss_vfl: 1.218016 loss_bbox: 0.621072 loss_dfl: 0.457783 loss: 2.325913 eta: 1 day, 2:38:47 batch_cost: 0.8604 data_cost: 0.0019 ips: 74.3881 images/s
[03/18 16:27:40] ppdet.engine INFO: Epoch: [51] [120/458] learning_rate: 0.297959 loss_vfl: 1.280469 loss_bbox: 0.646268 loss_dfl: 0.481283 loss: 2.437210 eta: 1 day, 2:38:32 batch_cost: 0.8566 data_cost: 0.0038 ips: 74.7167 images/s
[03/18 16:27:58] ppdet.engine INFO: Epoch: [51] [140/458] learning_rate: 0.297922 loss_vfl: 1.232927 loss_bbox: 0.634682 loss_dfl: 0.480035 loss: 2.342897 eta: 1 day, 2:38:09 batch_cost: 0.7822 data_cost: 0.0737 ips: 81.8257 images/s
[03/18 16:28:19] ppdet.engine INFO: Epoch: [51] [160/458] learning_rate: 0.297885 loss_vfl: 1.235744 loss_bbox: 0.629465 loss_dfl: 0.451362 loss: 2.318636 eta: 1 day, 2:38:03 batch_cost: 0.9535 data_cost: 0.2537 ips: 67.1226 images/s
[03/18 16:28:38] ppdet.engine INFO: Epoch: [51] [180/458] learning_rate: 0.297847 loss_vfl: 1.250883 loss_bbox: 0.626855 loss_dfl: 0.458624 loss: 2.339812 eta: 1 day, 2:37:49 batch_cost: 0.8718 data_cost: 0.2419 ips: 73.4074 images/s
[03/18 16:28:58] ppdet.engine INFO: Epoch: [51] [200/458] learning_rate: 0.297810 loss_vfl: 1.412075 loss_bbox: 0.698564 loss_dfl: 0.524428 loss: 2.591869 eta: 1 day, 2:37:33 batch_cost: 0.8512 data_cost: 0.3327 ips: 75.1919 images/s
[03/18 16:29:17] ppdet.engine INFO: Epoch: [51] [220/458] learning_rate: 0.297773 loss_vfl: 1.381062 loss_bbox: 0.694046 loss_dfl: 0.528126 loss: 2.643740 eta: 1 day, 2:37:17 batch_cost: 0.8524 data_cost: 0.3258 ips: 75.0816 images/s
[03/18 16:29:35] ppdet.engine INFO: Epoch: [51] [240/458] learning_rate: 0.297736 loss_vfl: 1.343285 loss_bbox: 0.643489 loss_dfl: 0.476286 loss: 2.462985 eta: 1 day, 2:36:54 batch_cost: 0.7743 data_cost: 0.1810 ips: 82.6582 images/s
[03/18 16:29:56] ppdet.engine INFO: Epoch: [51] [260/458] learning_rate: 0.297698 loss_vfl: 1.358648 loss_bbox: 0.690520 loss_dfl: 0.508916 loss: 2.563855 eta: 1 day, 2:36:44 batch_cost: 0.9199 data_cost: 0.1832 ips: 69.5717 images/s
[03/18 16:30:17] ppdet.engine INFO: Epoch: [51] [280/458] learning_rate: 0.297661 loss_vfl: 1.372134 loss_bbox: 0.679461 loss_dfl: 0.502178 loss: 2.554086 eta: 1 day, 2:36:35 batch_cost: 0.9148 data_cost: 0.4618 ips: 69.9608 images/s
[03/18 16:30:36] ppdet.engine INFO: Epoch: [51] [300/458] learning_rate: 0.297623 loss_vfl: 1.356611 loss_bbox: 0.657501 loss_dfl: 0.484058 loss: 2.501657 eta: 1 day, 2:36:18 batch_cost: 0.8458 data_cost: 0.3271 ips: 75.6671 images/s
[03/18 16:30:56] ppdet.engine INFO: Epoch: [51] [320/458] learning_rate: 0.297586 loss_vfl: 1.265467 loss_bbox: 0.611793 loss_dfl: 0.461088 loss: 2.301809 eta: 1 day, 2:36:12 batch_cost: 0.9489 data_cost: 0.3645 ips: 67.4436 images/s
[03/18 16:31:15] ppdet.engine INFO: Epoch: [51] [340/458] learning_rate: 0.297549 loss_vfl: 1.369664 loss_bbox: 0.696076 loss_dfl: 0.510415 loss: 2.595104 eta: 1 day, 2:35:50 batch_cost: 0.7948 data_cost: 0.1411 ips: 80.5266 images/s
[03/18 16:31:34] ppdet.engine INFO: Epoch: [51] [360/458] learning_rate: 0.297511 loss_vfl: 1.259173 loss_bbox: 0.645561 loss_dfl: 0.468351 loss: 2.328365 eta: 1 day, 2:35:33 batch_cost: 0.8350 data_cost: 0.0099 ips: 76.6433 images/s
[03/18 16:31:52] ppdet.engine INFO: Epoch: [51] [380/458] learning_rate: 0.297474 loss_vfl: 1.255196 loss_bbox: 0.629082 loss_dfl: 0.460519 loss: 2.313896 eta: 1 day, 2:35:00 batch_cost: 0.6772 data_cost: 0.0267 ips: 94.5077 images/s
[03/18 16:32:13] ppdet.engine INFO: Epoch: [51] [400/458] learning_rate: 0.297436 loss_vfl: 1.357833 loss_bbox: 0.675465 loss_dfl: 0.498706 loss: 2.530158 eta: 1 day, 2:34:48 batch_cost: 0.8940 data_cost: 0.0060 ips: 71.5914 images/s
[03/18 16:32:31] ppdet.engine INFO: Epoch: [51] [420/458] learning_rate: 0.297399 loss_vfl: 1.305242 loss_bbox: 0.674157 loss_dfl: 0.501045 loss: 2.509142 eta: 1 day, 2:34:27 batch_cost: 0.7981 data_cost: 0.0030 ips: 80.1917 images/s
[03/18 16:32:47] ppdet.engine INFO: Epoch: [51] [440/458] learning_rate: 0.297361 loss_vfl: 1.319762 loss_bbox: 0.656918 loss_dfl: 0.484340 loss: 2.456414 eta: 1 day, 2:33:56 batch_cost: 0.6920 data_cost: 0.0856 ips: 92.4815 images/s
[03/18 16:33:05] ppdet.engine INFO: Epoch: [52] [  0/458] learning_rate: 0.297327 loss_vfl: 1.319619 loss_bbox: 0.640238 loss_dfl: 0.479313 loss: 2.432776 eta: 1 day, 2:33:46 batch_cost: 0.8881 data_cost: 0.1498 ips: 72.0675 images/s
[03/18 16:33:25] ppdet.engine INFO: Epoch: [52] [ 20/458] learning_rate: 0.297289 loss_vfl: 1.334018 loss_bbox: 0.638360 loss_dfl: 0.472925 loss: 2.450605 eta: 1 day, 2:33:33 batch_cost: 0.8780 data_cost: 0.0029 ips: 72.8924 images/s
[03/18 16:33:43] ppdet.engine INFO: Epoch: [52] [ 40/458] learning_rate: 0.297252 loss_vfl: 1.318928 loss_bbox: 0.647031 loss_dfl: 0.487232 loss: 2.465790 eta: 1 day, 2:33:16 batch_cost: 0.8444 data_cost: 0.0003 ips: 75.7971 images/s
[03/18 16:34:05] ppdet.engine INFO: Epoch: [52] [ 60/458] learning_rate: 0.297214 loss_vfl: 1.228169 loss_bbox: 0.586292 loss_dfl: 0.451169 loss: 2.295578 eta: 1 day, 2:33:15 batch_cost: 1.0027 data_cost: 0.0017 ips: 63.8262 images/s
[03/18 16:34:27] ppdet.engine INFO: Epoch: [52] [ 80/458] learning_rate: 0.297176 loss_vfl: 1.281183 loss_bbox: 0.625858 loss_dfl: 0.471318 loss: 2.414076 eta: 1 day, 2:33:05 batch_cost: 0.9149 data_cost: 0.0025 ips: 69.9547 images/s
[03/18 16:34:46] ppdet.engine INFO: Epoch: [52] [100/458] learning_rate: 0.297139 loss_vfl: 1.347244 loss_bbox: 0.649667 loss_dfl: 0.477120 loss: 2.472970 eta: 1 day, 2:32:51 batch_cost: 0.8672 data_cost: 0.0023 ips: 73.7968 images/s
[03/18 16:35:06] ppdet.engine INFO: Epoch: [52] [120/458] learning_rate: 0.297101 loss_vfl: 1.245611 loss_bbox: 0.605703 loss_dfl: 0.448986 loss: 2.276670 eta: 1 day, 2:32:43 batch_cost: 0.9356 data_cost: 0.0013 ips: 68.4025 images/s
[03/18 16:35:26] ppdet.engine INFO: Epoch: [52] [140/458] learning_rate: 0.297063 loss_vfl: 1.250557 loss_bbox: 0.637469 loss_dfl: 0.471876 loss: 2.391547 eta: 1 day, 2:32:29 batch_cost: 0.8814 data_cost: 0.0029 ips: 72.6090 images/s
[03/18 16:35:46] ppdet.engine INFO: Epoch: [52] [160/458] learning_rate: 0.297025 loss_vfl: 1.304609 loss_bbox: 0.642915 loss_dfl: 0.479876 loss: 2.412128 eta: 1 day, 2:32:23 batch_cost: 0.9512 data_cost: 0.0028 ips: 67.2824 images/s
[03/18 16:36:06] ppdet.engine INFO: Epoch: [52] [180/458] learning_rate: 0.296987 loss_vfl: 1.291497 loss_bbox: 0.640672 loss_dfl: 0.468492 loss: 2.400092 eta: 1 day, 2:32:10 batch_cost: 0.8825 data_cost: 0.0052 ips: 72.5191 images/s
[03/18 16:36:26] ppdet.engine INFO: Epoch: [52] [200/458] learning_rate: 0.296949 loss_vfl: 1.300373 loss_bbox: 0.643398 loss_dfl: 0.480140 loss: 2.433323 eta: 1 day, 2:31:57 batch_cost: 0.8846 data_cost: 0.0048 ips: 72.3503 images/s
[03/18 16:36:44] ppdet.engine INFO: Epoch: [52] [220/458] learning_rate: 0.296911 loss_vfl: 1.361696 loss_bbox: 0.670373 loss_dfl: 0.493037 loss: 2.518525 eta: 1 day, 2:31:40 batch_cost: 0.8390 data_cost: 0.0041 ips: 76.2840 images/s
[03/18 16:37:05] ppdet.engine INFO: Epoch: [52] [240/458] learning_rate: 0.296873 loss_vfl: 1.254325 loss_bbox: 0.658236 loss_dfl: 0.490246 loss: 2.401855 eta: 1 day, 2:31:32 batch_cost: 0.9356 data_cost: 0.1152 ips: 68.4023 images/s
[03/18 16:37:26] ppdet.engine INFO: Epoch: [52] [260/458] learning_rate: 0.296835 loss_vfl: 1.203187 loss_bbox: 0.616932 loss_dfl: 0.463119 loss: 2.291044 eta: 1 day, 2:31:24 batch_cost: 0.9422 data_cost: 0.1642 ips: 67.9274 images/s
[03/18 16:37:46] ppdet.engine INFO: Epoch: [52] [280/458] learning_rate: 0.296797 loss_vfl: 1.302142 loss_bbox: 0.633801 loss_dfl: 0.477147 loss: 2.460396 eta: 1 day, 2:31:13 batch_cost: 0.9071 data_cost: 0.0461 ips: 70.5511 images/s
[03/18 16:38:05] ppdet.engine INFO: Epoch: [52] [300/458] learning_rate: 0.296759 loss_vfl: 1.358080 loss_bbox: 0.685826 loss_dfl: 0.506749 loss: 2.542794 eta: 1 day, 2:30:58 batch_cost: 0.8568 data_cost: 0.0037 ips: 74.7004 images/s
[03/18 16:38:24] ppdet.engine INFO: Epoch: [52] [320/458] learning_rate: 0.296721 loss_vfl: 1.364541 loss_bbox: 0.673791 loss_dfl: 0.507849 loss: 2.575544 eta: 1 day, 2:30:40 batch_cost: 0.8309 data_cost: 0.1255 ips: 77.0226 images/s
[03/18 16:38:45] ppdet.engine INFO: Epoch: [52] [340/458] learning_rate: 0.296683 loss_vfl: 1.299610 loss_bbox: 0.671783 loss_dfl: 0.484037 loss: 2.452572 eta: 1 day, 2:30:30 batch_cost: 0.9151 data_cost: 0.0891 ips: 69.9361 images/s
[03/18 16:39:06] ppdet.engine INFO: Epoch: [52] [360/458] learning_rate: 0.296645 loss_vfl: 1.256484 loss_bbox: 0.624005 loss_dfl: 0.469675 loss: 2.367502 eta: 1 day, 2:30:27 batch_cost: 0.9926 data_cost: 0.0935 ips: 64.4791 images/s
[03/18 16:39:24] ppdet.engine INFO: Epoch: [52] [380/458] learning_rate: 0.296607 loss_vfl: 1.341074 loss_bbox: 0.671172 loss_dfl: 0.501058 loss: 2.500847 eta: 1 day, 2:30:04 batch_cost: 0.7773 data_cost: 0.0034 ips: 82.3366 images/s
[03/18 16:39:46] ppdet.engine INFO: Epoch: [52] [400/458] learning_rate: 0.296569 loss_vfl: 1.333708 loss_bbox: 0.644993 loss_dfl: 0.481682 loss: 2.453526 eta: 1 day, 2:30:03 batch_cost: 1.0108 data_cost: 0.0062 ips: 63.3169 images/s
[03/18 16:40:02] ppdet.engine INFO: Epoch: [52] [420/458] learning_rate: 0.296531 loss_vfl: 1.338382 loss_bbox: 0.657833 loss_dfl: 0.489555 loss: 2.484523 eta: 1 day, 2:29:32 batch_cost: 0.6971 data_cost: 0.0010 ips: 91.8155 images/s
[03/18 16:40:16] ppdet.engine INFO: Epoch: [52] [440/458] learning_rate: 0.296492 loss_vfl: 1.297115 loss_bbox: 0.661204 loss_dfl: 0.482592 loss: 2.462779 eta: 1 day, 2:28:57 batch_cost: 0.6450 data_cost: 0.0003 ips: 99.2201 images/s
[03/18 16:40:37] ppdet.engine INFO: Epoch: [53] [  0/458] learning_rate: 0.296458 loss_vfl: 1.287823 loss_bbox: 0.621401 loss_dfl: 0.469500 loss: 2.358971 eta: 1 day, 2:29:01 batch_cost: 1.0262 data_cost: 0.3167 ips: 62.3683 images/s
[03/18 16:40:58] ppdet.engine INFO: Epoch: [53] [ 20/458] learning_rate: 0.296420 loss_vfl: 1.328662 loss_bbox: 0.656362 loss_dfl: 0.488731 loss: 2.462398 eta: 1 day, 2:28:53 batch_cost: 0.9340 data_cost: 0.0003 ips: 68.5235 images/s
[03/18 16:41:21] ppdet.engine INFO: Epoch: [53] [ 40/458] learning_rate: 0.296381 loss_vfl: 1.359904 loss_bbox: 0.650819 loss_dfl: 0.492681 loss: 2.491501 eta: 1 day, 2:28:56 batch_cost: 1.0522 data_cost: 0.0017 ips: 60.8236 images/s
[03/18 16:41:43] ppdet.engine INFO: Epoch: [53] [ 60/458] learning_rate: 0.296343 loss_vfl: 1.293987 loss_bbox: 0.648529 loss_dfl: 0.488589 loss: 2.431915 eta: 1 day, 2:28:55 batch_cost: 1.0132 data_cost: 0.0038 ips: 63.1632 images/s
[03/18 16:42:01] ppdet.engine INFO: Epoch: [53] [ 80/458] learning_rate: 0.296304 loss_vfl: 1.317002 loss_bbox: 0.667089 loss_dfl: 0.497452 loss: 2.509689 eta: 1 day, 2:28:33 batch_cost: 0.7950 data_cost: 0.0011 ips: 80.5013 images/s
[03/18 16:42:22] ppdet.engine INFO: Epoch: [53] [100/458] learning_rate: 0.296266 loss_vfl: 1.288525 loss_bbox: 0.649912 loss_dfl: 0.472765 loss: 2.411897 eta: 1 day, 2:28:30 batch_cost: 0.9929 data_cost: 0.0013 ips: 64.4545 images/s
[03/18 16:42:44] ppdet.engine INFO: Epoch: [53] [120/458] learning_rate: 0.296228 loss_vfl: 1.275287 loss_bbox: 0.656179 loss_dfl: 0.474057 loss: 2.406957 eta: 1 day, 2:28:26 batch_cost: 0.9842 data_cost: 0.0019 ips: 65.0259 images/s
[03/18 16:43:04] ppdet.engine INFO: Epoch: [53] [140/458] learning_rate: 0.296189 loss_vfl: 1.330875 loss_bbox: 0.662763 loss_dfl: 0.490452 loss: 2.449831 eta: 1 day, 2:28:16 batch_cost: 0.9076 data_cost: 0.0346 ips: 70.5127 images/s
[03/18 16:43:28] ppdet.engine INFO: Epoch: [53] [160/458] learning_rate: 0.296151 loss_vfl: 1.328331 loss_bbox: 0.663658 loss_dfl: 0.500333 loss: 2.490189 eta: 1 day, 2:28:25 batch_cost: 1.1312 data_cost: 0.2062 ips: 56.5782 images/s
[03/18 16:43:47] ppdet.engine INFO: Epoch: [53] [180/458] learning_rate: 0.296112 loss_vfl: 1.247352 loss_bbox: 0.612027 loss_dfl: 0.463760 loss: 2.316816 eta: 1 day, 2:28:14 batch_cost: 0.9099 data_cost: 0.1421 ips: 70.3371 images/s
[03/18 16:44:06] ppdet.engine INFO: Epoch: [53] [200/458] learning_rate: 0.296074 loss_vfl: 1.281213 loss_bbox: 0.626878 loss_dfl: 0.466743 loss: 2.395362 eta: 1 day, 2:27:59 batch_cost: 0.8536 data_cost: 0.0027 ips: 74.9752 images/s
[03/18 16:44:30] ppdet.engine INFO: Epoch: [53] [220/458] learning_rate: 0.296035 loss_vfl: 1.360984 loss_bbox: 0.680227 loss_dfl: 0.500410 loss: 2.521903 eta: 1 day, 2:28:02 batch_cost: 1.0631 data_cost: 0.0015 ips: 60.2019 images/s
[03/18 16:44:52] ppdet.engine INFO: Epoch: [53] [240/458] learning_rate: 0.295996 loss_vfl: 1.308539 loss_bbox: 0.647976 loss_dfl: 0.482443 loss: 2.453766 eta: 1 day, 2:28:04 batch_cost: 1.0509 data_cost: 0.0055 ips: 60.9018 images/s
[03/18 16:45:13] ppdet.engine INFO: Epoch: [53] [260/458] learning_rate: 0.295958 loss_vfl: 1.262639 loss_bbox: 0.620378 loss_dfl: 0.455373 loss: 2.309554 eta: 1 day, 2:27:56 batch_cost: 0.9436 data_cost: 0.0030 ips: 67.8232 images/s
[03/18 16:45:32] ppdet.engine INFO: Epoch: [53] [280/458] learning_rate: 0.295919 loss_vfl: 1.265092 loss_bbox: 0.648945 loss_dfl: 0.480313 loss: 2.391375 eta: 1 day, 2:27:39 batch_cost: 0.8444 data_cost: 0.0011 ips: 75.7964 images/s
[03/18 16:45:52] ppdet.engine INFO: Epoch: [53] [300/458] learning_rate: 0.295880 loss_vfl: 1.312445 loss_bbox: 0.633762 loss_dfl: 0.484306 loss: 2.433207 eta: 1 day, 2:27:33 batch_cost: 0.9601 data_cost: 0.0013 ips: 66.6608 images/s
[03/18 16:46:15] ppdet.engine INFO: Epoch: [53] [320/458] learning_rate: 0.295842 loss_vfl: 1.294558 loss_bbox: 0.654134 loss_dfl: 0.483923 loss: 2.428877 eta: 1 day, 2:27:38 batch_cost: 1.0788 data_cost: 0.0183 ips: 59.3264 images/s
[03/18 16:46:32] ppdet.engine INFO: Epoch: [53] [340/458] learning_rate: 0.295803 loss_vfl: 1.360663 loss_bbox: 0.658442 loss_dfl: 0.496207 loss: 2.525217 eta: 1 day, 2:27:14 batch_cost: 0.7633 data_cost: 0.0692 ips: 83.8411 images/s
[03/18 16:46:52] ppdet.engine INFO: Epoch: [53] [360/458] learning_rate: 0.295764 loss_vfl: 1.263152 loss_bbox: 0.614655 loss_dfl: 0.457414 loss: 2.329703 eta: 1 day, 2:27:05 batch_cost: 0.9366 data_cost: 0.1570 ips: 68.3306 images/s
[03/18 16:47:06] ppdet.engine INFO: Epoch: [53] [380/458] learning_rate: 0.295725 loss_vfl: 1.276600 loss_bbox: 0.658942 loss_dfl: 0.481898 loss: 2.417367 eta: 1 day, 2:26:30 batch_cost: 0.6493 data_cost: 0.1278 ips: 98.5704 images/s
[03/18 16:47:26] ppdet.engine INFO: Epoch: [53] [400/458] learning_rate: 0.295686 loss_vfl: 1.307597 loss_bbox: 0.638899 loss_dfl: 0.476591 loss: 2.436119 eta: 1 day, 2:26:17 batch_cost: 0.8852 data_cost: 0.1558 ips: 72.3030 images/s
[03/18 16:47:45] ppdet.engine INFO: Epoch: [53] [420/458] learning_rate: 0.295648 loss_vfl: 1.226115 loss_bbox: 0.631476 loss_dfl: 0.464460 loss: 2.335802 eta: 1 day, 2:26:06 batch_cost: 0.9064 data_cost: 0.2778 ips: 70.6063 images/s
[03/18 16:48:08] ppdet.engine INFO: Epoch: [53] [440/458] learning_rate: 0.295609 loss_vfl: 1.369901 loss_bbox: 0.689462 loss_dfl: 0.509860 loss: 2.580874 eta: 1 day, 2:26:09 batch_cost: 1.0672 data_cost: 0.4530 ips: 59.9709 images/s
[03/18 16:48:31] ppdet.engine INFO: Epoch: [54] [  0/458] learning_rate: 0.295574 loss_vfl: 1.306362 loss_bbox: 0.650091 loss_dfl: 0.489692 loss: 2.471893 eta: 1 day, 2:26:17 batch_cost: 1.1823 data_cost: 0.7189 ips: 54.1303 images/s
[03/18 16:48:48] ppdet.engine INFO: Epoch: [54] [ 20/458] learning_rate: 0.295535 loss_vfl: 1.292660 loss_bbox: 0.645523 loss_dfl: 0.487022 loss: 2.418214 eta: 1 day, 2:25:51 batch_cost: 0.7442 data_cost: 0.0600 ips: 85.9972 images/s
[03/18 16:49:06] ppdet.engine INFO: Epoch: [54] [ 40/458] learning_rate: 0.295496 loss_vfl: 1.334806 loss_bbox: 0.656468 loss_dfl: 0.494255 loss: 2.468373 eta: 1 day, 2:25:34 batch_cost: 0.8435 data_cost: 0.1873 ips: 75.8715 images/s
[03/18 16:49:28] ppdet.engine INFO: Epoch: [54] [ 60/458] learning_rate: 0.295457 loss_vfl: 1.356143 loss_bbox: 0.664493 loss_dfl: 0.498913 loss: 2.517768 eta: 1 day, 2:25:28 batch_cost: 0.9703 data_cost: 0.2191 ips: 65.9615 images/s
[03/18 16:49:49] ppdet.engine INFO: Epoch: [54] [ 80/458] learning_rate: 0.295418 loss_vfl: 1.262312 loss_bbox: 0.654760 loss_dfl: 0.477877 loss: 2.386847 eta: 1 day, 2:25:25 batch_cost: 0.9963 data_cost: 0.3983 ips: 64.2347 images/s
[03/18 16:50:07] ppdet.engine INFO: Epoch: [54] [100/458] learning_rate: 0.295379 loss_vfl: 1.279172 loss_bbox: 0.645419 loss_dfl: 0.478480 loss: 2.392931 eta: 1 day, 2:25:02 batch_cost: 0.7735 data_cost: 0.0794 ips: 82.7437 images/s
[03/18 16:50:27] ppdet.engine INFO: Epoch: [54] [120/458] learning_rate: 0.295339 loss_vfl: 1.328753 loss_bbox: 0.667975 loss_dfl: 0.495411 loss: 2.502603 eta: 1 day, 2:24:52 batch_cost: 0.9242 data_cost: 0.2119 ips: 69.2497 images/s
[03/18 16:50:47] ppdet.engine INFO: Epoch: [54] [140/458] learning_rate: 0.295300 loss_vfl: 1.297687 loss_bbox: 0.633982 loss_dfl: 0.472273 loss: 2.426301 eta: 1 day, 2:24:41 batch_cost: 0.9071 data_cost: 0.0004 ips: 70.5514 images/s
[03/18 16:51:10] ppdet.engine INFO: Epoch: [54] [160/458] learning_rate: 0.295261 loss_vfl: 1.306720 loss_bbox: 0.621703 loss_dfl: 0.473372 loss: 2.393775 eta: 1 day, 2:24:38 batch_cost: 0.9988 data_cost: 0.0017 ips: 64.0770 images/s
[03/18 16:51:29] ppdet.engine INFO: Epoch: [54] [180/458] learning_rate: 0.295222 loss_vfl: 1.237624 loss_bbox: 0.605221 loss_dfl: 0.464576 loss: 2.316687 eta: 1 day, 2:24:25 batch_cost: 0.8909 data_cost: 0.0046 ips: 71.8401 images/s
[03/18 16:51:49] ppdet.engine INFO: Epoch: [54] [200/458] learning_rate: 0.295183 loss_vfl: 1.371347 loss_bbox: 0.668652 loss_dfl: 0.507218 loss: 2.538716 eta: 1 day, 2:24:13 batch_cost: 0.8980 data_cost: 0.0555 ips: 71.2681 images/s
[03/18 16:52:11] ppdet.engine INFO: Epoch: [54] [220/458] learning_rate: 0.295144 loss_vfl: 1.328917 loss_bbox: 0.664135 loss_dfl: 0.486770 loss: 2.487009 eta: 1 day, 2:24:10 batch_cost: 0.9995 data_cost: 0.0415 ips: 64.0332 images/s
[03/18 16:52:29] ppdet.engine INFO: Epoch: [54] [240/458] learning_rate: 0.295104 loss_vfl: 1.362866 loss_bbox: 0.664167 loss_dfl: 0.498467 loss: 2.556262 eta: 1 day, 2:23:54 batch_cost: 0.8559 data_cost: 0.0047 ips: 74.7725 images/s
[03/18 16:52:47] ppdet.engine INFO: Epoch: [54] [260/458] learning_rate: 0.295065 loss_vfl: 1.303143 loss_bbox: 0.630638 loss_dfl: 0.487015 loss: 2.453492 eta: 1 day, 2:23:31 batch_cost: 0.7752 data_cost: 0.0035 ips: 82.5617 images/s
[03/18 16:53:11] ppdet.engine INFO: Epoch: [54] [280/458] learning_rate: 0.295026 loss_vfl: 1.356897 loss_bbox: 0.682404 loss_dfl: 0.495929 loss: 2.547514 eta: 1 day, 2:23:37 batch_cost: 1.1044 data_cost: 0.0062 ips: 57.9502 images/s
[03/18 16:53:30] ppdet.engine INFO: Epoch: [54] [300/458] learning_rate: 0.294986 loss_vfl: 1.308311 loss_bbox: 0.654993 loss_dfl: 0.483171 loss: 2.436995 eta: 1 day, 2:23:22 batch_cost: 0.8710 data_cost: 0.0028 ips: 73.4772 images/s
[03/18 16:53:47] ppdet.engine INFO: Epoch: [54] [320/458] learning_rate: 0.294947 loss_vfl: 1.291052 loss_bbox: 0.606727 loss_dfl: 0.460611 loss: 2.332567 eta: 1 day, 2:22:56 batch_cost: 0.7390 data_cost: 0.0102 ips: 86.6085 images/s
[03/18 16:54:04] ppdet.engine INFO: Epoch: [54] [340/458] learning_rate: 0.294907 loss_vfl: 1.289903 loss_bbox: 0.661892 loss_dfl: 0.493761 loss: 2.491833 eta: 1 day, 2:22:34 batch_cost: 0.7896 data_cost: 0.0014 ips: 81.0492 images/s
[03/18 16:54:19] ppdet.engine INFO: Epoch: [54] [360/458] learning_rate: 0.294868 loss_vfl: 1.259952 loss_bbox: 0.639353 loss_dfl: 0.474262 loss: 2.379362 eta: 1 day, 2:22:03 batch_cost: 0.6874 data_cost: 0.0020 ips: 93.1070 images/s
[03/18 16:54:38] ppdet.engine INFO: Epoch: [54] [380/458] learning_rate: 0.294829 loss_vfl: 1.245072 loss_bbox: 0.633641 loss_dfl: 0.453208 loss: 2.316229 eta: 1 day, 2:21:49 batch_cost: 0.8762 data_cost: 0.0005 ips: 73.0400 images/s
[03/18 16:54:57] ppdet.engine INFO: Epoch: [54] [400/458] learning_rate: 0.294789 loss_vfl: 1.339525 loss_bbox: 0.650062 loss_dfl: 0.505983 loss: 2.541884 eta: 1 day, 2:21:30 batch_cost: 0.8226 data_cost: 0.0023 ips: 77.8004 images/s
[03/18 16:55:15] ppdet.engine INFO: Epoch: [54] [420/458] learning_rate: 0.294750 loss_vfl: 1.323690 loss_bbox: 0.665329 loss_dfl: 0.496795 loss: 2.492183 eta: 1 day, 2:21:07 batch_cost: 0.7804 data_cost: 0.0076 ips: 82.0086 images/s
[03/18 16:55:35] ppdet.engine INFO: Epoch: [54] [440/458] learning_rate: 0.294710 loss_vfl: 1.384811 loss_bbox: 0.656157 loss_dfl: 0.486236 loss: 2.497352 eta: 1 day, 2:20:55 batch_cost: 0.8928 data_cost: 0.0032 ips: 71.6840 images/s
[03/18 16:55:56] ppdet.engine INFO: Epoch: [55] [  0/458] learning_rate: 0.294674 loss_vfl: 1.401189 loss_bbox: 0.685164 loss_dfl: 0.503600 loss: 2.609261 eta: 1 day, 2:20:54 batch_cost: 1.0055 data_cost: 0.3481 ips: 63.6527 images/s
[03/18 16:56:16] ppdet.engine INFO: Epoch: [55] [ 20/458] learning_rate: 0.294635 loss_vfl: 1.252326 loss_bbox: 0.635557 loss_dfl: 0.468981 loss: 2.366455 eta: 1 day, 2:20:30 batch_cost: 0.7675 data_cost: 0.0253 ips: 83.3929 images/s
[03/18 16:56:37] ppdet.engine INFO: Epoch: [55] [ 40/458] learning_rate: 0.294595 loss_vfl: 1.326866 loss_bbox: 0.681805 loss_dfl: 0.491163 loss: 2.487223 eta: 1 day, 2:20:19 batch_cost: 0.9054 data_cost: 0.1707 ips: 70.6884 images/s
[03/18 16:56:58] ppdet.engine INFO: Epoch: [55] [ 60/458] learning_rate: 0.294555 loss_vfl: 1.328417 loss_bbox: 0.637241 loss_dfl: 0.478379 loss: 2.391701 eta: 1 day, 2:20:06 batch_cost: 0.8896 data_cost: 0.2859 ips: 71.9429 images/s
[03/18 16:57:14] ppdet.engine INFO: Epoch: [55] [ 80/458] learning_rate: 0.294516 loss_vfl: 1.363435 loss_bbox: 0.676976 loss_dfl: 0.510231 loss: 2.538881 eta: 1 day, 2:19:36 batch_cost: 0.6991 data_cost: 0.0726 ips: 91.5416 images/s
[03/18 16:57:35] ppdet.engine INFO: Epoch: [55] [100/458] learning_rate: 0.294476 loss_vfl: 1.282696 loss_bbox: 0.632469 loss_dfl: 0.471735 loss: 2.397873 eta: 1 day, 2:19:25 batch_cost: 0.9141 data_cost: 0.0780 ips: 70.0180 images/s
[03/18 16:57:56] ppdet.engine INFO: Epoch: [55] [120/458] learning_rate: 0.294436 loss_vfl: 1.285095 loss_bbox: 0.628494 loss_dfl: 0.464925 loss: 2.379304 eta: 1 day, 2:19:13 batch_cost: 0.8952 data_cost: 0.0878 ips: 71.4958 images/s
[03/18 16:58:15] ppdet.engine INFO: Epoch: [55] [140/458] learning_rate: 0.294397 loss_vfl: 1.288027 loss_bbox: 0.673460 loss_dfl: 0.498057 loss: 2.485564 eta: 1 day, 2:18:48 batch_cost: 0.7623 data_cost: 0.0013 ips: 83.9559 images/s
[03/18 16:58:38] ppdet.engine INFO: Epoch: [55] [160/458] learning_rate: 0.294357 loss_vfl: 1.342355 loss_bbox: 0.652287 loss_dfl: 0.485439 loss: 2.473154 eta: 1 day, 2:18:47 batch_cost: 1.0146 data_cost: 0.1066 ips: 63.0815 images/s
[03/18 16:58:59] ppdet.engine INFO: Epoch: [55] [180/458] learning_rate: 0.294317 loss_vfl: 1.303005 loss_bbox: 0.651891 loss_dfl: 0.484268 loss: 2.409273 eta: 1 day, 2:18:37 batch_cost: 0.9317 data_cost: 0.0015 ips: 68.6907 images/s
[03/18 16:59:15] ppdet.engine INFO: Epoch: [55] [200/458] learning_rate: 0.294277 loss_vfl: 1.290372 loss_bbox: 0.654184 loss_dfl: 0.486961 loss: 2.402781 eta: 1 day, 2:18:00 batch_cost: 0.6148 data_cost: 0.0029 ips: 104.0989 images/s
[03/18 16:59:35] ppdet.engine INFO: Epoch: [55] [220/458] learning_rate: 0.294237 loss_vfl: 1.310805 loss_bbox: 0.660643 loss_dfl: 0.479846 loss: 2.460243 eta: 1 day, 2:17:46 batch_cost: 0.8765 data_cost: 0.1228 ips: 73.0181 images/s
[03/18 16:59:55] ppdet.engine INFO: Epoch: [55] [240/458] learning_rate: 0.294197 loss_vfl: 1.362595 loss_bbox: 0.655955 loss_dfl: 0.492433 loss: 2.478950 eta: 1 day, 2:17:31 batch_cost: 0.8644 data_cost: 0.1379 ips: 74.0438 images/s
[03/18 17:00:14] ppdet.engine INFO: Epoch: [55] [260/458] learning_rate: 0.294157 loss_vfl: 1.338412 loss_bbox: 0.675756 loss_dfl: 0.497220 loss: 2.476255 eta: 1 day, 2:17:14 batch_cost: 0.8450 data_cost: 0.3593 ips: 75.7419 images/s
[03/18 17:00:34] ppdet.engine INFO: Epoch: [55] [280/458] learning_rate: 0.294117 loss_vfl: 1.293377 loss_bbox: 0.655224 loss_dfl: 0.477443 loss: 2.426164 eta: 1 day, 2:16:56 batch_cost: 0.8419 data_cost: 0.3066 ips: 76.0222 images/s
[03/18 17:00:56] ppdet.engine INFO: Epoch: [55] [300/458] learning_rate: 0.294077 loss_vfl: 1.327160 loss_bbox: 0.653040 loss_dfl: 0.482789 loss: 2.452032 eta: 1 day, 2:16:51 batch_cost: 0.9785 data_cost: 0.4622 ips: 65.4089 images/s
[03/18 17:01:12] ppdet.engine INFO: Epoch: [55] [320/458] learning_rate: 0.294037 loss_vfl: 1.317876 loss_bbox: 0.670133 loss_dfl: 0.500583 loss: 2.453131 eta: 1 day, 2:16:22 batch_cost: 0.7029 data_cost: 0.2289 ips: 91.0558 images/s
[03/18 17:01:27] ppdet.engine INFO: Epoch: [55] [340/458] learning_rate: 0.293997 loss_vfl: 1.330279 loss_bbox: 0.654427 loss_dfl: 0.485241 loss: 2.429044 eta: 1 day, 2:15:50 batch_cost: 0.6723 data_cost: 0.1339 ips: 95.1965 images/s
[03/18 17:01:42] ppdet.engine INFO: Epoch: [55] [360/458] learning_rate: 0.293957 loss_vfl: 1.314208 loss_bbox: 0.650556 loss_dfl: 0.492423 loss: 2.453305 eta: 1 day, 2:15:15 batch_cost: 0.6404 data_cost: 0.1826 ips: 99.9439 images/s
[03/18 17:02:00] ppdet.engine INFO: Epoch: [55] [380/458] learning_rate: 0.293917 loss_vfl: 1.314894 loss_bbox: 0.678036 loss_dfl: 0.479627 loss: 2.467909 eta: 1 day, 2:14:51 batch_cost: 0.7682 data_cost: 0.2018 ips: 83.3078 images/s
[03/18 17:02:20] ppdet.engine INFO: Epoch: [55] [400/458] learning_rate: 0.293877 loss_vfl: 1.231836 loss_bbox: 0.604080 loss_dfl: 0.454250 loss: 2.282411 eta: 1 day, 2:14:34 batch_cost: 0.8449 data_cost: 0.2511 ips: 75.7497 images/s
[03/18 17:02:40] ppdet.engine INFO: Epoch: [55] [420/458] learning_rate: 0.293837 loss_vfl: 1.325836 loss_bbox: 0.649403 loss_dfl: 0.474710 loss: 2.415671 eta: 1 day, 2:14:20 batch_cost: 0.8722 data_cost: 0.2531 ips: 73.3801 images/s
[03/18 17:03:00] ppdet.engine INFO: Epoch: [55] [440/458] learning_rate: 0.293797 loss_vfl: 1.307306 loss_bbox: 0.642873 loss_dfl: 0.472264 loss: 2.401673 eta: 1 day, 2:14:08 batch_cost: 0.9025 data_cost: 0.1617 ips: 70.9141 images/s
[03/18 17:03:21] ppdet.engine INFO: Epoch: [56] [  0/458] learning_rate: 0.293760 loss_vfl: 1.334181 loss_bbox: 0.680125 loss_dfl: 0.489644 loss: 2.490743 eta: 1 day, 2:14:08 batch_cost: 0.9811 data_cost: 0.3709 ips: 65.2337 images/s
[03/18 17:03:41] ppdet.engine INFO: Epoch: [56] [ 20/458] learning_rate: 0.293720 loss_vfl: 1.326584 loss_bbox: 0.647680 loss_dfl: 0.470594 loss: 2.435713 eta: 1 day, 2:13:55 batch_cost: 0.8895 data_cost: 0.1714 ips: 71.9544 images/s
[03/18 17:04:00] ppdet.engine INFO: Epoch: [56] [ 40/458] learning_rate: 0.293680 loss_vfl: 1.228620 loss_bbox: 0.645488 loss_dfl: 0.472594 loss: 2.352504 eta: 1 day, 2:13:34 batch_cost: 0.8074 data_cost: 0.1396 ips: 79.2664 images/s
[03/18 17:04:20] ppdet.engine INFO: Epoch: [56] [ 60/458] learning_rate: 0.293640 loss_vfl: 1.258541 loss_bbox: 0.653852 loss_dfl: 0.483516 loss: 2.409165 eta: 1 day, 2:13:19 batch_cost: 0.8577 data_cost: 0.0282 ips: 74.6196 images/s
[03/18 17:04:42] ppdet.engine INFO: Epoch: [56] [ 80/458] learning_rate: 0.293599 loss_vfl: 1.303470 loss_bbox: 0.630841 loss_dfl: 0.471819 loss: 2.416192 eta: 1 day, 2:13:14 batch_cost: 0.9853 data_cost: 0.0927 ips: 64.9532 images/s
[03/18 17:05:02] ppdet.engine INFO: Epoch: [56] [100/458] learning_rate: 0.293559 loss_vfl: 1.338673 loss_bbox: 0.653788 loss_dfl: 0.494285 loss: 2.463722 eta: 1 day, 2:12:56 batch_cost: 0.8325 data_cost: 0.0016 ips: 76.8734 images/s
[03/18 17:05:19] ppdet.engine INFO: Epoch: [56] [120/458] learning_rate: 0.293518 loss_vfl: 1.318131 loss_bbox: 0.632119 loss_dfl: 0.472527 loss: 2.395343 eta: 1 day, 2:12:25 batch_cost: 0.6812 data_cost: 0.0019 ips: 93.9481 images/s
[03/18 17:05:41] ppdet.engine INFO: Epoch: [56] [140/458] learning_rate: 0.293478 loss_vfl: 1.272466 loss_bbox: 0.662694 loss_dfl: 0.477618 loss: 2.403334 eta: 1 day, 2:12:20 batch_cost: 0.9817 data_cost: 0.0059 ips: 65.1905 images/s
[03/18 17:06:01] ppdet.engine INFO: Epoch: [56] [160/458] learning_rate: 0.293438 loss_vfl: 1.288615 loss_bbox: 0.641107 loss_dfl: 0.464208 loss: 2.418383 eta: 1 day, 2:12:03 batch_cost: 0.8504 data_cost: 0.0048 ips: 75.2602 images/s
[03/18 17:06:21] ppdet.engine INFO: Epoch: [56] [180/458] learning_rate: 0.293397 loss_vfl: 1.299217 loss_bbox: 0.615637 loss_dfl: 0.472947 loss: 2.381270 eta: 1 day, 2:11:48 batch_cost: 0.8613 data_cost: 0.0027 ips: 74.3031 images/s
[03/18 17:06:42] ppdet.engine INFO: Epoch: [56] [200/458] learning_rate: 0.293357 loss_vfl: 1.313018 loss_bbox: 0.644173 loss_dfl: 0.473389 loss: 2.430547 eta: 1 day, 2:11:37 batch_cost: 0.9223 data_cost: 0.0072 ips: 69.3945 images/s
[03/18 17:07:01] ppdet.engine INFO: Epoch: [56] [220/458] learning_rate: 0.293316 loss_vfl: 1.283455 loss_bbox: 0.676250 loss_dfl: 0.499487 loss: 2.467651 eta: 1 day, 2:11:17 batch_cost: 0.8029 data_cost: 0.0013 ips: 79.7149 images/s
[03/18 17:07:21] ppdet.engine INFO: Epoch: [56] [240/458] learning_rate: 0.293276 loss_vfl: 1.274082 loss_bbox: 0.634131 loss_dfl: 0.467851 loss: 2.374972 eta: 1 day, 2:11:00 batch_cost: 0.8426 data_cost: 0.0048 ips: 75.9566 images/s
[03/18 17:07:41] ppdet.engine INFO: Epoch: [56] [260/458] learning_rate: 0.293235 loss_vfl: 1.384066 loss_bbox: 0.676494 loss_dfl: 0.499931 loss: 2.572108 eta: 1 day, 2:10:51 batch_cost: 0.9435 data_cost: 0.0075 ips: 67.8308 images/s
[03/18 17:08:00] ppdet.engine INFO: Epoch: [56] [280/458] learning_rate: 0.293194 loss_vfl: 1.370199 loss_bbox: 0.704126 loss_dfl: 0.522839 loss: 2.615957 eta: 1 day, 2:10:34 batch_cost: 0.8406 data_cost: 0.0071 ips: 76.1385 images/s
[03/18 17:08:16] ppdet.engine INFO: Epoch: [56] [300/458] learning_rate: 0.293154 loss_vfl: 1.334113 loss_bbox: 0.682415 loss_dfl: 0.496940 loss: 2.521665 eta: 1 day, 2:10:04 batch_cost: 0.6959 data_cost: 0.0023 ips: 91.9610 images/s
[03/18 17:08:34] ppdet.engine INFO: Epoch: [56] [320/458] learning_rate: 0.293113 loss_vfl: 1.360652 loss_bbox: 0.662649 loss_dfl: 0.491191 loss: 2.500485 eta: 1 day, 2:09:41 batch_cost: 0.7720 data_cost: 0.1010 ips: 82.8973 images/s
[03/18 17:08:48] ppdet.engine INFO: Epoch: [56] [340/458] learning_rate: 0.293072 loss_vfl: 1.285269 loss_bbox: 0.643479 loss_dfl: 0.469387 loss: 2.324222 eta: 1 day, 2:09:06 batch_cost: 0.6296 data_cost: 0.1058 ips: 101.6572 images/s
[03/18 17:09:04] ppdet.engine INFO: Epoch: [56] [360/458] learning_rate: 0.293032 loss_vfl: 1.277690 loss_bbox: 0.640086 loss_dfl: 0.485035 loss: 2.413129 eta: 1 day, 2:08:35 batch_cost: 0.6817 data_cost: 0.1175 ips: 93.8885 images/s
[03/18 17:09:25] ppdet.engine INFO: Epoch: [56] [380/458] learning_rate: 0.292991 loss_vfl: 1.240944 loss_bbox: 0.642628 loss_dfl: 0.477194 loss: 2.386312 eta: 1 day, 2:08:19 batch_cost: 0.8633 data_cost: 0.1979 ips: 74.1352 images/s
[03/18 17:09:42] ppdet.engine INFO: Epoch: [56] [400/458] learning_rate: 0.292950 loss_vfl: 1.278684 loss_bbox: 0.618247 loss_dfl: 0.468772 loss: 2.347610 eta: 1 day, 2:07:55 batch_cost: 0.7591 data_cost: 0.1775 ips: 84.3135 images/s
[03/18 17:10:05] ppdet.engine INFO: Epoch: [56] [420/458] learning_rate: 0.292909 loss_vfl: 1.185570 loss_bbox: 0.611667 loss_dfl: 0.449405 loss: 2.251309 eta: 1 day, 2:07:43 batch_cost: 0.9047 data_cost: 0.0042 ips: 70.7404 images/s
[03/18 17:10:23] ppdet.engine INFO: Epoch: [56] [440/458] learning_rate: 0.292868 loss_vfl: 1.214715 loss_bbox: 0.614427 loss_dfl: 0.453692 loss: 2.258781 eta: 1 day, 2:07:20 batch_cost: 0.7683 data_cost: 0.0030 ips: 83.2985 images/s
[03/18 17:10:43] ppdet.engine INFO: Epoch: [57] [  0/458] learning_rate: 0.292832 loss_vfl: 1.243481 loss_bbox: 0.607903 loss_dfl: 0.451386 loss: 2.288624 eta: 1 day, 2:07:17 batch_cost: 0.9613 data_cost: 0.3422 ips: 66.5796 images/s
[03/18 17:11:05] ppdet.engine INFO: Epoch: [57] [ 20/458] learning_rate: 0.292791 loss_vfl: 1.366785 loss_bbox: 0.677448 loss_dfl: 0.504900 loss: 2.546281 eta: 1 day, 2:07:09 batch_cost: 0.9511 data_cost: 0.1309 ips: 67.2882 images/s
[03/18 17:11:25] ppdet.engine INFO: Epoch: [57] [ 40/458] learning_rate: 0.292750 loss_vfl: 1.339882 loss_bbox: 0.650429 loss_dfl: 0.488985 loss: 2.491581 eta: 1 day, 2:06:53 batch_cost: 0.8522 data_cost: 0.0075 ips: 75.1027 images/s
[03/18 17:11:43] ppdet.engine INFO: Epoch: [57] [ 60/458] learning_rate: 0.292709 loss_vfl: 1.300400 loss_bbox: 0.650683 loss_dfl: 0.474756 loss: 2.481654 eta: 1 day, 2:06:27 batch_cost: 0.7325 data_cost: 0.0084 ips: 87.3713 images/s
[03/18 17:12:02] ppdet.engine INFO: Epoch: [57] [ 80/458] learning_rate: 0.292668 loss_vfl: 1.326517 loss_bbox: 0.675290 loss_dfl: 0.490948 loss: 2.500805 eta: 1 day, 2:06:07 batch_cost: 0.8180 data_cost: 0.0099 ips: 78.2350 images/s
[03/18 17:12:19] ppdet.engine INFO: Epoch: [57] [100/458] learning_rate: 0.292627 loss_vfl: 1.300137 loss_bbox: 0.646649 loss_dfl: 0.471491 loss: 2.425888 eta: 1 day, 2:05:42 batch_cost: 0.7435 data_cost: 0.0594 ips: 86.0821 images/s
[03/18 17:12:39] ppdet.engine INFO: Epoch: [57] [120/458] learning_rate: 0.292586 loss_vfl: 1.302880 loss_bbox: 0.660552 loss_dfl: 0.486452 loss: 2.468864 eta: 1 day, 2:05:30 batch_cost: 0.9027 data_cost: 0.2094 ips: 70.8959 images/s
[03/18 17:12:57] ppdet.engine INFO: Epoch: [57] [140/458] learning_rate: 0.292545 loss_vfl: 1.341106 loss_bbox: 0.678035 loss_dfl: 0.501233 loss: 2.506968 eta: 1 day, 2:05:08 batch_cost: 0.7846 data_cost: 0.1336 ips: 81.5671 images/s
[03/18 17:13:19] ppdet.engine INFO: Epoch: [57] [160/458] learning_rate: 0.292504 loss_vfl: 1.256396 loss_bbox: 0.625888 loss_dfl: 0.470401 loss: 2.374102 eta: 1 day, 2:05:05 batch_cost: 1.0055 data_cost: 0.2866 ips: 63.6522 images/s
[03/18 17:13:40] ppdet.engine INFO: Epoch: [57] [180/458] learning_rate: 0.292463 loss_vfl: 1.349200 loss_bbox: 0.646819 loss_dfl: 0.498660 loss: 2.512265 eta: 1 day, 2:04:57 batch_cost: 0.9510 data_cost: 0.3751 ips: 67.2977 images/s
[03/18 17:13:56] ppdet.engine INFO: Epoch: [57] [200/458] learning_rate: 0.292421 loss_vfl: 1.261696 loss_bbox: 0.645286 loss_dfl: 0.473895 loss: 2.372533 eta: 1 day, 2:04:32 batch_cost: 0.7479 data_cost: 0.0975 ips: 85.5699 images/s
[03/18 17:14:17] ppdet.engine INFO: Epoch: [57] [220/458] learning_rate: 0.292380 loss_vfl: 1.346056 loss_bbox: 0.684683 loss_dfl: 0.490272 loss: 2.506632 eta: 1 day, 2:04:20 batch_cost: 0.9113 data_cost: 0.0842 ips: 70.2296 images/s
[03/18 17:14:36] ppdet.engine INFO: Epoch: [57] [240/458] learning_rate: 0.292339 loss_vfl: 1.319342 loss_bbox: 0.635379 loss_dfl: 0.478419 loss: 2.442417 eta: 1 day, 2:04:05 batch_cost: 0.8634 data_cost: 0.0029 ips: 74.1215 images/s
[03/18 17:14:55] ppdet.engine INFO: Epoch: [57] [260/458] learning_rate: 0.292298 loss_vfl: 1.254360 loss_bbox: 0.628394 loss_dfl: 0.467586 loss: 2.323863 eta: 1 day, 2:03:48 batch_cost: 0.8473 data_cost: 0.0023 ips: 75.5306 images/s
[03/18 17:15:16] ppdet.engine INFO: Epoch: [57] [280/458] learning_rate: 0.292257 loss_vfl: 1.320358 loss_bbox: 0.642498 loss_dfl: 0.482492 loss: 2.473916 eta: 1 day, 2:03:41 batch_cost: 0.9557 data_cost: 0.0045 ips: 66.9646 images/s
[03/18 17:15:35] ppdet.engine INFO: Epoch: [57] [300/458] learning_rate: 0.292215 loss_vfl: 1.325135 loss_bbox: 0.623489 loss_dfl: 0.474541 loss: 2.443699 eta: 1 day, 2:03:21 batch_cost: 0.8173 data_cost: 0.0033 ips: 78.3071 images/s
[03/18 17:15:52] ppdet.engine INFO: Epoch: [57] [320/458] learning_rate: 0.292174 loss_vfl: 1.289245 loss_bbox: 0.647568 loss_dfl: 0.480507 loss: 2.409277 eta: 1 day, 2:02:57 batch_cost: 0.7513 data_cost: 0.0015 ips: 85.1847 images/s
[03/18 17:16:08] ppdet.engine INFO: Epoch: [57] [340/458] learning_rate: 0.292133 loss_vfl: 1.240742 loss_bbox: 0.641461 loss_dfl: 0.481413 loss: 2.420394 eta: 1 day, 2:02:26 batch_cost: 0.6778 data_cost: 0.0026 ips: 94.4291 images/s
[03/18 17:16:23] ppdet.engine INFO: Epoch: [57] [360/458] learning_rate: 0.292091 loss_vfl: 1.292562 loss_bbox: 0.674268 loss_dfl: 0.498564 loss: 2.451759 eta: 1 day, 2:01:54 batch_cost: 0.6635 data_cost: 0.0041 ips: 96.4599 images/s
[03/18 17:16:41] ppdet.engine INFO: Epoch: [57] [380/458] learning_rate: 0.292050 loss_vfl: 1.300110 loss_bbox: 0.650002 loss_dfl: 0.484908 loss: 2.482681 eta: 1 day, 2:01:35 batch_cost: 0.8238 data_cost: 0.0066 ips: 77.6914 images/s
[03/18 17:17:00] ppdet.engine INFO: Epoch: [57] [400/458] learning_rate: 0.292008 loss_vfl: 1.380368 loss_bbox: 0.708036 loss_dfl: 0.521722 loss: 2.612497 eta: 1 day, 2:01:14 batch_cost: 0.7986 data_cost: 0.0020 ips: 80.1397 images/s
[03/18 17:17:19] ppdet.engine INFO: Epoch: [57] [420/458] learning_rate: 0.291967 loss_vfl: 1.283850 loss_bbox: 0.640297 loss_dfl: 0.469688 loss: 2.415444 eta: 1 day, 2:00:54 batch_cost: 0.8106 data_cost: 0.0027 ips: 78.9558 images/s
[03/18 17:17:38] ppdet.engine INFO: Epoch: [57] [440/458] learning_rate: 0.291926 loss_vfl: 1.285038 loss_bbox: 0.647256 loss_dfl: 0.473503 loss: 2.417823 eta: 1 day, 2:00:37 batch_cost: 0.8388 data_cost: 0.0051 ips: 76.3008 images/s
[03/18 17:18:02] ppdet.engine INFO: Epoch: [58] [  0/458] learning_rate: 0.291888 loss_vfl: 1.280600 loss_bbox: 0.672799 loss_dfl: 0.491376 loss: 2.429631 eta: 1 day, 2:00:47 batch_cost: 1.1217 data_cost: 0.3933 ips: 57.0580 images/s
[03/18 17:18:20] ppdet.engine INFO: Epoch: [58] [ 20/458] learning_rate: 0.291847 loss_vfl: 1.350402 loss_bbox: 0.703833 loss_dfl: 0.512678 loss: 2.549615 eta: 1 day, 2:00:24 batch_cost: 0.7744 data_cost: 0.0971 ips: 82.6400 images/s
[03/18 17:18:41] ppdet.engine INFO: Epoch: [58] [ 40/458] learning_rate: 0.291805 loss_vfl: 1.303860 loss_bbox: 0.657416 loss_dfl: 0.483851 loss: 2.437236 eta: 1 day, 2:00:10 batch_cost: 0.8732 data_cost: 0.0673 ips: 73.2960 images/s
[03/18 17:19:00] ppdet.engine INFO: Epoch: [58] [ 60/458] learning_rate: 0.291764 loss_vfl: 1.319731 loss_bbox: 0.676419 loss_dfl: 0.487414 loss: 2.473112 eta: 1 day, 1:59:50 batch_cost: 0.8069 data_cost: 0.0179 ips: 79.3166 images/s
[03/18 17:19:19] ppdet.engine INFO: Epoch: [58] [ 80/458] learning_rate: 0.291722 loss_vfl: 1.314354 loss_bbox: 0.651641 loss_dfl: 0.477177 loss: 2.435994 eta: 1 day, 1:59:31 batch_cost: 0.8297 data_cost: 0.0990 ips: 77.1354 images/s
[03/18 17:19:39] ppdet.engine INFO: Epoch: [58] [100/458] learning_rate: 0.291680 loss_vfl: 1.295979 loss_bbox: 0.648639 loss_dfl: 0.500086 loss: 2.449085 eta: 1 day, 1:59:21 batch_cost: 0.9205 data_cost: 0.1762 ips: 69.5303 images/s
[03/18 17:19:56] ppdet.engine INFO: Epoch: [58] [120/458] learning_rate: 0.291639 loss_vfl: 1.269278 loss_bbox: 0.634269 loss_dfl: 0.480224 loss: 2.369578 eta: 1 day, 1:58:53 batch_cost: 0.7174 data_cost: 0.1254 ips: 89.2163 images/s
[03/18 17:20:15] ppdet.engine INFO: Epoch: [58] [140/458] learning_rate: 0.291597 loss_vfl: 1.287126 loss_bbox: 0.640239 loss_dfl: 0.480995 loss: 2.428031 eta: 1 day, 1:58:38 batch_cost: 0.8597 data_cost: 0.0764 ips: 74.4468 images/s
[03/18 17:20:34] ppdet.engine INFO: Epoch: [58] [160/458] learning_rate: 0.291555 loss_vfl: 1.265042 loss_bbox: 0.649183 loss_dfl: 0.479146 loss: 2.382086 eta: 1 day, 1:58:18 batch_cost: 0.8097 data_cost: 0.0224 ips: 79.0433 images/s
[03/18 17:20:55] ppdet.engine INFO: Epoch: [58] [180/458] learning_rate: 0.291513 loss_vfl: 1.262216 loss_bbox: 0.623850 loss_dfl: 0.471824 loss: 2.371986 eta: 1 day, 1:58:07 batch_cost: 0.9219 data_cost: 0.0032 ips: 69.4188 images/s
[03/18 17:21:14] ppdet.engine INFO: Epoch: [58] [200/458] learning_rate: 0.291472 loss_vfl: 1.263358 loss_bbox: 0.659269 loss_dfl: 0.491296 loss: 2.441923 eta: 1 day, 1:57:53 batch_cost: 0.8699 data_cost: 0.0011 ips: 73.5710 images/s
[03/18 17:21:32] ppdet.engine INFO: Epoch: [58] [220/458] learning_rate: 0.291430 loss_vfl: 1.293248 loss_bbox: 0.640013 loss_dfl: 0.468383 loss: 2.384757 eta: 1 day, 1:57:24 batch_cost: 0.7041 data_cost: 0.0031 ips: 90.8972 images/s
[03/18 17:21:50] ppdet.engine INFO: Epoch: [58] [240/458] learning_rate: 0.291388 loss_vfl: 1.343899 loss_bbox: 0.639327 loss_dfl: 0.472111 loss: 2.453749 eta: 1 day, 1:57:04 batch_cost: 0.8130 data_cost: 0.1195 ips: 78.7184 images/s
[03/18 17:22:12] ppdet.engine INFO: Epoch: [58] [260/458] learning_rate: 0.291346 loss_vfl: 1.321010 loss_bbox: 0.658915 loss_dfl: 0.481755 loss: 2.460224 eta: 1 day, 1:56:54 batch_cost: 0.9173 data_cost: 0.0582 ips: 69.7689 images/s
[03/18 17:22:32] ppdet.engine INFO: Epoch: [58] [280/458] learning_rate: 0.291304 loss_vfl: 1.249686 loss_bbox: 0.661279 loss_dfl: 0.479196 loss: 2.387195 eta: 1 day, 1:56:41 batch_cost: 0.8938 data_cost: 0.0393 ips: 71.6067 images/s
[03/18 17:22:49] ppdet.engine INFO: Epoch: [58] [300/458] learning_rate: 0.291262 loss_vfl: 1.319245 loss_bbox: 0.626767 loss_dfl: 0.483177 loss: 2.440542 eta: 1 day, 1:56:16 batch_cost: 0.7449 data_cost: 0.1880 ips: 85.9150 images/s
[03/18 17:23:10] ppdet.engine INFO: Epoch: [58] [320/458] learning_rate: 0.291220 loss_vfl: 1.344347 loss_bbox: 0.653167 loss_dfl: 0.491761 loss: 2.454184 eta: 1 day, 1:56:03 batch_cost: 0.8929 data_cost: 0.2036 ips: 71.6733 images/s
[03/18 17:23:25] ppdet.engine INFO: Epoch: [58] [340/458] learning_rate: 0.291178 loss_vfl: 1.363329 loss_bbox: 0.678817 loss_dfl: 0.490751 loss: 2.536798 eta: 1 day, 1:55:29 batch_cost: 0.6443 data_cost: 0.0681 ips: 99.3309 images/s
[03/18 17:23:39] ppdet.engine INFO: Epoch: [58] [360/458] learning_rate: 0.291136 loss_vfl: 1.241587 loss_bbox: 0.639280 loss_dfl: 0.466585 loss: 2.316222 eta: 1 day, 1:54:57 batch_cost: 0.6523 data_cost: 0.1676 ips: 98.1196 images/s
[03/18 17:23:56] ppdet.engine INFO: Epoch: [58] [380/458] learning_rate: 0.291094 loss_vfl: 1.260026 loss_bbox: 0.642233 loss_dfl: 0.476204 loss: 2.377149 eta: 1 day, 1:54:30 batch_cost: 0.7295 data_cost: 0.2599 ips: 87.7292 images/s
[03/18 17:24:14] ppdet.engine INFO: Epoch: [58] [400/458] learning_rate: 0.291052 loss_vfl: 1.306568 loss_bbox: 0.660439 loss_dfl: 0.479749 loss: 2.446029 eta: 1 day, 1:54:09 batch_cost: 0.7848 data_cost: 0.1435 ips: 81.5522 images/s
[03/18 17:24:32] ppdet.engine INFO: Epoch: [58] [420/458] learning_rate: 0.291010 loss_vfl: 1.322439 loss_bbox: 0.686284 loss_dfl: 0.496742 loss: 2.496109 eta: 1 day, 1:53:48 batch_cost: 0.8053 data_cost: 0.1725 ips: 79.4730 images/s
[03/18 17:24:53] ppdet.engine INFO: Epoch: [58] [440/458] learning_rate: 0.290968 loss_vfl: 1.250420 loss_bbox: 0.633685 loss_dfl: 0.468387 loss: 2.345094 eta: 1 day, 1:53:35 batch_cost: 0.8838 data_cost: 0.3272 ips: 72.4114 images/s
[03/18 17:25:13] ppdet.engine INFO: Epoch: [59] [  0/458] learning_rate: 0.290930 loss_vfl: 1.294823 loss_bbox: 0.624123 loss_dfl: 0.462825 loss: 2.409587 eta: 1 day, 1:53:30 batch_cost: 0.9746 data_cost: 0.5368 ips: 65.6678 images/s
[03/18 17:25:31] ppdet.engine INFO: Epoch: [59] [ 20/458] learning_rate: 0.290888 loss_vfl: 1.365082 loss_bbox: 0.697006 loss_dfl: 0.509706 loss: 2.614743 eta: 1 day, 1:53:12 batch_cost: 0.8247 data_cost: 0.1524 ips: 77.6021 images/s
[03/18 17:25:52] ppdet.engine INFO: Epoch: [59] [ 40/458] learning_rate: 0.290846 loss_vfl: 1.313123 loss_bbox: 0.661121 loss_dfl: 0.484406 loss: 2.474937 eta: 1 day, 1:53:00 batch_cost: 0.9079 data_cost: 0.2514 ips: 70.4927 images/s
[03/18 17:26:10] ppdet.engine INFO: Epoch: [59] [ 60/458] learning_rate: 0.290804 loss_vfl: 1.262669 loss_bbox: 0.644601 loss_dfl: 0.473545 loss: 2.384351 eta: 1 day, 1:52:32 batch_cost: 0.7028 data_cost: 0.2108 ips: 91.0657 images/s
[03/18 17:26:31] ppdet.engine INFO: Epoch: [59] [ 80/458] learning_rate: 0.290761 loss_vfl: 1.306318 loss_bbox: 0.635088 loss_dfl: 0.473744 loss: 2.409686 eta: 1 day, 1:52:26 batch_cost: 0.9798 data_cost: 0.3802 ips: 65.3215 images/s
[03/18 17:26:50] ppdet.engine INFO: Epoch: [59] [100/458] learning_rate: 0.290719 loss_vfl: 1.310029 loss_bbox: 0.642320 loss_dfl: 0.469943 loss: 2.406507 eta: 1 day, 1:52:06 batch_cost: 0.8139 data_cost: 0.3017 ips: 78.6341 images/s
[03/18 17:27:10] ppdet.engine INFO: Epoch: [59] [120/458] learning_rate: 0.290677 loss_vfl: 1.312003 loss_bbox: 0.664338 loss_dfl: 0.489243 loss: 2.484149 eta: 1 day, 1:51:57 batch_cost: 0.9309 data_cost: 0.3925 ips: 68.7533 images/s
[03/18 17:27:27] ppdet.engine INFO: Epoch: [59] [140/458] learning_rate: 0.290635 loss_vfl: 1.278904 loss_bbox: 0.620519 loss_dfl: 0.463953 loss: 2.410068 eta: 1 day, 1:51:29 batch_cost: 0.7082 data_cost: 0.0631 ips: 90.3642 images/s
[03/18 17:27:48] ppdet.engine INFO: Epoch: [59] [160/458] learning_rate: 0.290592 loss_vfl: 1.308160 loss_bbox: 0.626619 loss_dfl: 0.474330 loss: 2.427586 eta: 1 day, 1:51:22 batch_cost: 0.9734 data_cost: 0.0445 ips: 65.7462 images/s
[03/18 17:28:06] ppdet.engine INFO: Epoch: [59] [180/458] learning_rate: 0.290550 loss_vfl: 1.316522 loss_bbox: 0.679321 loss_dfl: 0.506394 loss: 2.530146 eta: 1 day, 1:51:03 batch_cost: 0.8199 data_cost: 0.0157 ips: 78.0626 images/s
[03/18 17:28:25] ppdet.engine INFO: Epoch: [59] [200/458] learning_rate: 0.290507 loss_vfl: 1.228594 loss_bbox: 0.603291 loss_dfl: 0.458209 loss: 2.286934 eta: 1 day, 1:50:45 batch_cost: 0.8231 data_cost: 0.0360 ips: 77.7506 images/s
[03/18 17:28:45] ppdet.engine INFO: Epoch: [59] [220/458] learning_rate: 0.290465 loss_vfl: 1.331670 loss_bbox: 0.669865 loss_dfl: 0.493383 loss: 2.519820 eta: 1 day, 1:50:36 batch_cost: 0.9413 data_cost: 0.3345 ips: 67.9914 images/s
[03/18 17:29:06] ppdet.engine INFO: Epoch: [59] [240/458] learning_rate: 0.290423 loss_vfl: 1.326688 loss_bbox: 0.642957 loss_dfl: 0.490361 loss: 2.479785 eta: 1 day, 1:50:27 batch_cost: 0.9504 data_cost: 0.3018 ips: 67.3384 images/s
[03/18 17:29:26] ppdet.engine INFO: Epoch: [59] [260/458] learning_rate: 0.290380 loss_vfl: 1.258053 loss_bbox: 0.621937 loss_dfl: 0.469132 loss: 2.351094 eta: 1 day, 1:50:15 batch_cost: 0.9042 data_cost: 0.2838 ips: 70.7776 images/s
[03/18 17:29:45] ppdet.engine INFO: Epoch: [59] [280/458] learning_rate: 0.290338 loss_vfl: 1.289148 loss_bbox: 0.657404 loss_dfl: 0.487111 loss: 2.417790 eta: 1 day, 1:50:00 batch_cost: 0.8651 data_cost: 0.3370 ips: 73.9835 images/s
[03/18 17:30:04] ppdet.engine INFO: Epoch: [59] [300/458] learning_rate: 0.290295 loss_vfl: 1.233473 loss_bbox: 0.629380 loss_dfl: 0.458304 loss: 2.316520 eta: 1 day, 1:49:38 batch_cost: 0.7849 data_cost: 0.0519 ips: 81.5343 images/s
[03/18 17:30:24] ppdet.engine INFO: Epoch: [59] [320/458] learning_rate: 0.290252 loss_vfl: 1.398430 loss_bbox: 0.698632 loss_dfl: 0.519824 loss: 2.611897 eta: 1 day, 1:49:26 batch_cost: 0.8996 data_cost: 0.3530 ips: 71.1428 images/s
[03/18 17:30:46] ppdet.engine INFO: Epoch: [59] [340/458] learning_rate: 0.290210 loss_vfl: 1.286704 loss_bbox: 0.645711 loss_dfl: 0.478946 loss: 2.414593 eta: 1 day, 1:49:17 batch_cost: 0.9525 data_cost: 0.4360 ips: 67.1943 images/s
[03/18 17:30:58] ppdet.engine INFO: Epoch: [59] [360/458] learning_rate: 0.290167 loss_vfl: 1.346339 loss_bbox: 0.645046 loss_dfl: 0.472901 loss: 2.447386 eta: 1 day, 1:48:35 batch_cost: 0.5300 data_cost: 0.0460 ips: 120.7485 images/s
[03/18 17:31:14] ppdet.engine INFO: Epoch: [59] [380/458] learning_rate: 0.290125 loss_vfl: 1.364169 loss_bbox: 0.664993 loss_dfl: 0.492189 loss: 2.500226 eta: 1 day, 1:48:08 batch_cost: 0.7129 data_cost: 0.1933 ips: 89.7786 images/s
[03/18 17:31:29] ppdet.engine INFO: Epoch: [59] [400/458] learning_rate: 0.290082 loss_vfl: 1.275443 loss_bbox: 0.609709 loss_dfl: 0.456262 loss: 2.350272 eta: 1 day, 1:47:38 batch_cost: 0.6822 data_cost: 0.1015 ips: 93.8178 images/s
[03/18 17:31:49] ppdet.engine INFO: Epoch: [59] [420/458] learning_rate: 0.290039 loss_vfl: 1.357275 loss_bbox: 0.653289 loss_dfl: 0.491441 loss: 2.487118 eta: 1 day, 1:47:23 batch_cost: 0.8656 data_cost: 0.2367 ips: 73.9370 images/s
[03/18 17:32:09] ppdet.engine INFO: Epoch: [59] [440/458] learning_rate: 0.289996 loss_vfl: 1.309187 loss_bbox: 0.662908 loss_dfl: 0.497242 loss: 2.483570 eta: 1 day, 1:47:13 batch_cost: 0.9380 data_cost: 0.3327 ips: 68.2283 images/s
[03/18 17:32:22] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 17:32:22] ppdet.engine INFO: Eval iter: 0
[03/18 17:32:42] ppdet.engine INFO: Eval iter: 100
[03/18 17:32:52] ppdet.engine INFO: Eval iter: 200
[03/18 17:33:03] ppdet.engine INFO: Eval iter: 300
[03/18 17:33:14] ppdet.engine INFO: Eval iter: 400
[03/18 17:33:25] ppdet.engine INFO: Eval iter: 500
[03/18 17:33:37] ppdet.engine INFO: Eval iter: 600
[03/18 17:33:51] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=1.00s)
creating index...
index created!
[03/18 17:33:52] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.47s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.74s).
Accumulating evaluation results...
DONE (t=15.80s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.182
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.290
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.190
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.052
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.172
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.326
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.207
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.331
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.350
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.090
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.375
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.604
[03/18 17:35:32] ppdet.engine INFO: Total sample number: 4952, averge FPS: 63.93929914973622
[03/18 17:35:32] ppdet.engine INFO: Best test bbox ap is 0.182.
[03/18 17:35:32] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 17:35:33] ppdet.engine INFO: Epoch: [60] [  0/458] learning_rate: 0.289958 loss_vfl: 1.223740 loss_bbox: 0.608790 loss_dfl: 0.450341 loss: 2.295285 eta: 1 day, 1:46:39 batch_cost: 0.6105 data_cost: 0.1658 ips: 104.8255 images/s
[03/18 17:35:48] ppdet.engine INFO: Epoch: [60] [ 20/458] learning_rate: 0.289915 loss_vfl: 1.262408 loss_bbox: 0.620892 loss_dfl: 0.472147 loss: 2.342251 eta: 1 day, 1:46:08 batch_cost: 0.6751 data_cost: 0.1092 ips: 94.8046 images/s
[03/18 17:36:07] ppdet.engine INFO: Epoch: [60] [ 40/458] learning_rate: 0.289872 loss_vfl: 1.244046 loss_bbox: 0.611720 loss_dfl: 0.454419 loss: 2.335283 eta: 1 day, 1:45:52 batch_cost: 0.8466 data_cost: 0.2276 ips: 75.5975 images/s
[03/18 17:36:28] ppdet.engine INFO: Epoch: [60] [ 60/458] learning_rate: 0.289830 loss_vfl: 1.298417 loss_bbox: 0.643048 loss_dfl: 0.489561 loss: 2.409954 eta: 1 day, 1:45:41 batch_cost: 0.9208 data_cost: 0.3894 ips: 69.5071 images/s
[03/18 17:36:47] ppdet.engine INFO: Epoch: [60] [ 80/458] learning_rate: 0.289787 loss_vfl: 1.281273 loss_bbox: 0.639150 loss_dfl: 0.484066 loss: 2.401099 eta: 1 day, 1:45:24 batch_cost: 0.8429 data_cost: 0.1423 ips: 75.9255 images/s
[03/18 17:37:05] ppdet.engine INFO: Epoch: [60] [100/458] learning_rate: 0.289744 loss_vfl: 1.284849 loss_bbox: 0.650911 loss_dfl: 0.475332 loss: 2.410734 eta: 1 day, 1:45:04 batch_cost: 0.8009 data_cost: 0.1054 ips: 79.9124 images/s
[03/18 17:37:25] ppdet.engine INFO: Epoch: [60] [120/458] learning_rate: 0.289701 loss_vfl: 1.255565 loss_bbox: 0.627475 loss_dfl: 0.453033 loss: 2.304171 eta: 1 day, 1:44:52 batch_cost: 0.9071 data_cost: 0.3919 ips: 70.5548 images/s
[03/18 17:37:42] ppdet.engine INFO: Epoch: [60] [140/458] learning_rate: 0.289658 loss_vfl: 1.308423 loss_bbox: 0.651411 loss_dfl: 0.477508 loss: 2.415174 eta: 1 day, 1:44:25 batch_cost: 0.7164 data_cost: 0.1006 ips: 89.3336 images/s
[03/18 17:37:56] ppdet.engine INFO: Epoch: [60] [160/458] learning_rate: 0.289615 loss_vfl: 1.371657 loss_bbox: 0.676490 loss_dfl: 0.500170 loss: 2.603913 eta: 1 day, 1:43:48 batch_cost: 0.5964 data_cost: 0.0661 ips: 107.3105 images/s
[03/18 17:38:12] ppdet.engine INFO: Epoch: [60] [180/458] learning_rate: 0.289572 loss_vfl: 1.354144 loss_bbox: 0.696832 loss_dfl: 0.517956 loss: 2.574953 eta: 1 day, 1:43:19 batch_cost: 0.6871 data_cost: 0.2099 ips: 93.1439 images/s
[03/18 17:38:31] ppdet.engine INFO: Epoch: [60] [200/458] learning_rate: 0.289529 loss_vfl: 1.282223 loss_bbox: 0.617450 loss_dfl: 0.471333 loss: 2.370655 eta: 1 day, 1:43:04 batch_cost: 0.8755 data_cost: 0.2751 ips: 73.1017 images/s
[03/18 17:38:50] ppdet.engine INFO: Epoch: [60] [220/458] learning_rate: 0.289486 loss_vfl: 1.282790 loss_bbox: 0.663237 loss_dfl: 0.483375 loss: 2.414980 eta: 1 day, 1:42:49 batch_cost: 0.8580 data_cost: 0.2366 ips: 74.5916 images/s
[03/18 17:39:10] ppdet.engine INFO: Epoch: [60] [240/458] learning_rate: 0.289443 loss_vfl: 1.388991 loss_bbox: 0.682784 loss_dfl: 0.500479 loss: 2.597744 eta: 1 day, 1:42:32 batch_cost: 0.8506 data_cost: 0.3564 ips: 75.2390 images/s
[03/18 17:39:29] ppdet.engine INFO: Epoch: [60] [260/458] learning_rate: 0.289400 loss_vfl: 1.337944 loss_bbox: 0.624348 loss_dfl: 0.481749 loss: 2.443745 eta: 1 day, 1:42:18 batch_cost: 0.8727 data_cost: 0.3428 ips: 73.3382 images/s
[03/18 17:39:46] ppdet.engine INFO: Epoch: [60] [280/458] learning_rate: 0.289356 loss_vfl: 1.255555 loss_bbox: 0.620688 loss_dfl: 0.456415 loss: 2.326639 eta: 1 day, 1:41:53 batch_cost: 0.7418 data_cost: 0.0289 ips: 86.2776 images/s
[03/18 17:40:06] ppdet.engine INFO: Epoch: [60] [300/458] learning_rate: 0.289313 loss_vfl: 1.306979 loss_bbox: 0.673045 loss_dfl: 0.496980 loss: 2.478028 eta: 1 day, 1:41:40 batch_cost: 0.8912 data_cost: 0.0023 ips: 71.8163 images/s
[03/18 17:40:25] ppdet.engine INFO: Epoch: [60] [320/458] learning_rate: 0.289270 loss_vfl: 1.370528 loss_bbox: 0.675048 loss_dfl: 0.497978 loss: 2.532665 eta: 1 day, 1:41:24 batch_cost: 0.8579 data_cost: 0.0090 ips: 74.5991 images/s
[03/18 17:40:43] ppdet.engine INFO: Epoch: [60] [340/458] learning_rate: 0.289227 loss_vfl: 1.249398 loss_bbox: 0.607758 loss_dfl: 0.460270 loss: 2.321248 eta: 1 day, 1:41:05 batch_cost: 0.8220 data_cost: 0.0038 ips: 77.8550 images/s
[03/18 17:41:02] ppdet.engine INFO: Epoch: [60] [360/458] learning_rate: 0.289184 loss_vfl: 1.286099 loss_bbox: 0.666835 loss_dfl: 0.495330 loss: 2.441079 eta: 1 day, 1:40:50 batch_cost: 0.8614 data_cost: 0.0029 ips: 74.3017 images/s
[03/18 17:41:21] ppdet.engine INFO: Epoch: [60] [380/458] learning_rate: 0.289140 loss_vfl: 1.267279 loss_bbox: 0.624731 loss_dfl: 0.468966 loss: 2.355134 eta: 1 day, 1:40:31 batch_cost: 0.8223 data_cost: 0.0056 ips: 77.8339 images/s
[03/18 17:41:41] ppdet.engine INFO: Epoch: [60] [400/458] learning_rate: 0.289097 loss_vfl: 1.238190 loss_bbox: 0.608976 loss_dfl: 0.454870 loss: 2.299461 eta: 1 day, 1:40:17 batch_cost: 0.8806 data_cost: 0.0023 ips: 72.6774 images/s
[03/18 17:42:00] ppdet.engine INFO: Epoch: [60] [420/458] learning_rate: 0.289054 loss_vfl: 1.312438 loss_bbox: 0.657310 loss_dfl: 0.483617 loss: 2.431747 eta: 1 day, 1:40:02 batch_cost: 0.8621 data_cost: 0.0022 ips: 74.2379 images/s
[03/18 17:42:19] ppdet.engine INFO: Epoch: [60] [440/458] learning_rate: 0.289010 loss_vfl: 1.278136 loss_bbox: 0.632100 loss_dfl: 0.471077 loss: 2.381314 eta: 1 day, 1:39:42 batch_cost: 0.8101 data_cost: 0.0026 ips: 79.0003 images/s
[03/18 17:42:39] ppdet.engine INFO: Epoch: [61] [  0/458] learning_rate: 0.288971 loss_vfl: 1.338964 loss_bbox: 0.684113 loss_dfl: 0.490393 loss: 2.513214 eta: 1 day, 1:39:39 batch_cost: 0.9758 data_cost: 0.2935 ips: 65.5855 images/s
[03/18 17:42:58] ppdet.engine INFO: Epoch: [61] [ 20/458] learning_rate: 0.288928 loss_vfl: 1.268129 loss_bbox: 0.613716 loss_dfl: 0.466718 loss: 2.339343 eta: 1 day, 1:39:20 batch_cost: 0.8072 data_cost: 0.0663 ips: 79.2822 images/s
[03/18 17:43:17] ppdet.engine INFO: Epoch: [61] [ 40/458] learning_rate: 0.288884 loss_vfl: 1.261403 loss_bbox: 0.644768 loss_dfl: 0.465814 loss: 2.330807 eta: 1 day, 1:39:03 batch_cost: 0.8452 data_cost: 0.0295 ips: 75.7213 images/s
[03/18 17:43:35] ppdet.engine INFO: Epoch: [61] [ 60/458] learning_rate: 0.288841 loss_vfl: 1.276786 loss_bbox: 0.625747 loss_dfl: 0.466935 loss: 2.386210 eta: 1 day, 1:38:41 batch_cost: 0.7755 data_cost: 0.0213 ips: 82.5255 images/s
[03/18 17:43:55] ppdet.engine INFO: Epoch: [61] [ 80/458] learning_rate: 0.288798 loss_vfl: 1.383180 loss_bbox: 0.693329 loss_dfl: 0.506623 loss: 2.572522 eta: 1 day, 1:38:29 batch_cost: 0.9066 data_cost: 0.1294 ips: 70.5957 images/s
[03/18 17:44:15] ppdet.engine INFO: Epoch: [61] [100/458] learning_rate: 0.288754 loss_vfl: 1.291432 loss_bbox: 0.657318 loss_dfl: 0.470108 loss: 2.432377 eta: 1 day, 1:38:12 batch_cost: 0.8495 data_cost: 0.0573 ips: 75.3408 images/s
[03/18 17:44:33] ppdet.engine INFO: Epoch: [61] [120/458] learning_rate: 0.288710 loss_vfl: 1.261472 loss_bbox: 0.625504 loss_dfl: 0.463815 loss: 2.368890 eta: 1 day, 1:37:49 batch_cost: 0.7673 data_cost: 0.0043 ips: 83.4057 images/s
[03/18 17:44:52] ppdet.engine INFO: Epoch: [61] [140/458] learning_rate: 0.288667 loss_vfl: 1.357790 loss_bbox: 0.696697 loss_dfl: 0.523226 loss: 2.568590 eta: 1 day, 1:37:35 batch_cost: 0.8756 data_cost: 0.0446 ips: 73.0966 images/s
[03/18 17:45:09] ppdet.engine INFO: Epoch: [61] [160/458] learning_rate: 0.288623 loss_vfl: 1.315074 loss_bbox: 0.626770 loss_dfl: 0.472710 loss: 2.386999 eta: 1 day, 1:37:11 batch_cost: 0.7486 data_cost: 0.0271 ips: 85.4877 images/s
[03/18 17:45:23] ppdet.engine INFO: Epoch: [61] [180/458] learning_rate: 0.288580 loss_vfl: 1.192785 loss_bbox: 0.598565 loss_dfl: 0.448819 loss: 2.242228 eta: 1 day, 1:36:35 batch_cost: 0.6059 data_cost: 0.0490 ips: 105.6232 images/s
[03/18 17:45:39] ppdet.engine INFO: Epoch: [61] [200/458] learning_rate: 0.288536 loss_vfl: 1.376506 loss_bbox: 0.691488 loss_dfl: 0.504922 loss: 2.529196 eta: 1 day, 1:36:05 batch_cost: 0.6680 data_cost: 0.0011 ips: 95.8136 images/s
[03/18 17:45:57] ppdet.engine INFO: Epoch: [61] [220/458] learning_rate: 0.288492 loss_vfl: 1.295377 loss_bbox: 0.666506 loss_dfl: 0.483767 loss: 2.427647 eta: 1 day, 1:35:44 batch_cost: 0.7911 data_cost: 0.0007 ips: 80.9028 images/s
[03/18 17:46:14] ppdet.engine INFO: Epoch: [61] [240/458] learning_rate: 0.288449 loss_vfl: 1.269761 loss_bbox: 0.653299 loss_dfl: 0.476576 loss: 2.379856 eta: 1 day, 1:35:21 batch_cost: 0.7729 data_cost: 0.0019 ips: 82.8081 images/s
[03/18 17:46:35] ppdet.engine INFO: Epoch: [61] [260/458] learning_rate: 0.288405 loss_vfl: 1.279815 loss_bbox: 0.647053 loss_dfl: 0.488963 loss: 2.418833 eta: 1 day, 1:35:09 batch_cost: 0.9050 data_cost: 0.0029 ips: 70.7219 images/s
[03/18 17:46:53] ppdet.engine INFO: Epoch: [61] [280/458] learning_rate: 0.288361 loss_vfl: 1.310271 loss_bbox: 0.680276 loss_dfl: 0.500427 loss: 2.486722 eta: 1 day, 1:34:48 batch_cost: 0.7861 data_cost: 0.0469 ips: 81.4169 images/s
[03/18 17:47:13] ppdet.engine INFO: Epoch: [61] [300/458] learning_rate: 0.288317 loss_vfl: 1.244211 loss_bbox: 0.638248 loss_dfl: 0.466450 loss: 2.347137 eta: 1 day, 1:34:36 batch_cost: 0.9056 data_cost: 0.2170 ips: 70.6692 images/s
[03/18 17:47:31] ppdet.engine INFO: Epoch: [61] [320/458] learning_rate: 0.288274 loss_vfl: 1.343317 loss_bbox: 0.653451 loss_dfl: 0.492299 loss: 2.501877 eta: 1 day, 1:34:14 batch_cost: 0.7798 data_cost: 0.1175 ips: 82.0695 images/s
[03/18 17:47:49] ppdet.engine INFO: Epoch: [61] [340/458] learning_rate: 0.288230 loss_vfl: 1.238328 loss_bbox: 0.581822 loss_dfl: 0.437450 loss: 2.252646 eta: 1 day, 1:33:52 batch_cost: 0.7695 data_cost: 0.1820 ips: 83.1730 images/s
[03/18 17:48:10] ppdet.engine INFO: Epoch: [61] [360/458] learning_rate: 0.288186 loss_vfl: 1.331882 loss_bbox: 0.637949 loss_dfl: 0.475121 loss: 2.429666 eta: 1 day, 1:33:42 batch_cost: 0.9397 data_cost: 0.4063 ips: 68.1095 images/s
[03/18 17:48:29] ppdet.engine INFO: Epoch: [61] [380/458] learning_rate: 0.288142 loss_vfl: 1.340705 loss_bbox: 0.677318 loss_dfl: 0.496309 loss: 2.526040 eta: 1 day, 1:33:26 batch_cost: 0.8546 data_cost: 0.2270 ips: 74.8919 images/s
[03/18 17:48:43] ppdet.engine INFO: Epoch: [61] [400/458] learning_rate: 0.288098 loss_vfl: 1.340730 loss_bbox: 0.679216 loss_dfl: 0.497774 loss: 2.529395 eta: 1 day, 1:32:54 batch_cost: 0.6480 data_cost: 0.0589 ips: 98.7707 images/s
[03/18 17:49:03] ppdet.engine INFO: Epoch: [61] [420/458] learning_rate: 0.288054 loss_vfl: 1.347592 loss_bbox: 0.673181 loss_dfl: 0.484286 loss: 2.512478 eta: 1 day, 1:32:35 batch_cost: 0.8174 data_cost: 0.1492 ips: 78.2963 images/s
[03/18 17:49:24] ppdet.engine INFO: Epoch: [61] [440/458] learning_rate: 0.288010 loss_vfl: 1.318952 loss_bbox: 0.639732 loss_dfl: 0.484760 loss: 2.456016 eta: 1 day, 1:32:26 batch_cost: 0.9452 data_cost: 0.1585 ips: 67.7076 images/s
[03/18 17:49:47] ppdet.engine INFO: Epoch: [62] [  0/458] learning_rate: 0.287970 loss_vfl: 1.313182 loss_bbox: 0.628305 loss_dfl: 0.485085 loss: 2.458896 eta: 1 day, 1:32:29 batch_cost: 1.0619 data_cost: 0.2969 ips: 60.2687 images/s
[03/18 17:50:04] ppdet.engine INFO: Epoch: [62] [ 20/458] learning_rate: 0.287926 loss_vfl: 1.321888 loss_bbox: 0.673203 loss_dfl: 0.482259 loss: 2.489201 eta: 1 day, 1:32:08 batch_cost: 0.7942 data_cost: 0.0039 ips: 80.5858 images/s
[03/18 17:50:24] ppdet.engine INFO: Epoch: [62] [ 40/458] learning_rate: 0.287882 loss_vfl: 1.291427 loss_bbox: 0.625349 loss_dfl: 0.467047 loss: 2.378848 eta: 1 day, 1:31:55 batch_cost: 0.8925 data_cost: 0.0062 ips: 71.7088 images/s
[03/18 17:50:40] ppdet.engine INFO: Epoch: [62] [ 60/458] learning_rate: 0.287838 loss_vfl: 1.351737 loss_bbox: 0.680779 loss_dfl: 0.490297 loss: 2.502543 eta: 1 day, 1:31:24 batch_cost: 0.6543 data_cost: 0.0009 ips: 97.8133 images/s
[03/18 17:50:59] ppdet.engine INFO: Epoch: [62] [ 80/458] learning_rate: 0.287794 loss_vfl: 1.324105 loss_bbox: 0.649659 loss_dfl: 0.479982 loss: 2.430675 eta: 1 day, 1:31:09 batch_cost: 0.8672 data_cost: 0.0088 ips: 73.7990 images/s
[03/18 17:51:20] ppdet.engine INFO: Epoch: [62] [100/458] learning_rate: 0.287750 loss_vfl: 1.297465 loss_bbox: 0.620265 loss_dfl: 0.486869 loss: 2.443297 eta: 1 day, 1:30:58 batch_cost: 0.9203 data_cost: 0.0043 ips: 69.5427 images/s
[03/18 17:51:39] ppdet.engine INFO: Epoch: [62] [120/458] learning_rate: 0.287706 loss_vfl: 1.273013 loss_bbox: 0.669028 loss_dfl: 0.481211 loss: 2.384768 eta: 1 day, 1:30:37 batch_cost: 0.7993 data_cost: 0.0019 ips: 80.0672 images/s
[03/18 17:51:57] ppdet.engine INFO: Epoch: [62] [140/458] learning_rate: 0.287662 loss_vfl: 1.284667 loss_bbox: 0.652532 loss_dfl: 0.481677 loss: 2.411441 eta: 1 day, 1:30:21 batch_cost: 0.8478 data_cost: 0.0041 ips: 75.4864 images/s
[03/18 17:52:17] ppdet.engine INFO: Epoch: [62] [160/458] learning_rate: 0.287617 loss_vfl: 1.322371 loss_bbox: 0.649994 loss_dfl: 0.483826 loss: 2.469937 eta: 1 day, 1:30:09 batch_cost: 0.9083 data_cost: 0.0025 ips: 70.4617 images/s
[03/18 17:52:34] ppdet.engine INFO: Epoch: [62] [180/458] learning_rate: 0.287573 loss_vfl: 1.312867 loss_bbox: 0.645822 loss_dfl: 0.487254 loss: 2.420601 eta: 1 day, 1:29:45 batch_cost: 0.7556 data_cost: 0.0024 ips: 84.7049 images/s
[03/18 17:52:51] ppdet.engine INFO: Epoch: [62] [200/458] learning_rate: 0.287529 loss_vfl: 1.260735 loss_bbox: 0.623633 loss_dfl: 0.458028 loss: 2.344000 eta: 1 day, 1:29:21 batch_cost: 0.7498 data_cost: 0.0011 ips: 85.3552 images/s
[03/18 17:53:05] ppdet.engine INFO: Epoch: [62] [220/458] learning_rate: 0.287485 loss_vfl: 1.263405 loss_bbox: 0.643519 loss_dfl: 0.474963 loss: 2.370150 eta: 1 day, 1:28:47 batch_cost: 0.6107 data_cost: 0.0041 ips: 104.8015 images/s
[03/18 17:53:21] ppdet.engine INFO: Epoch: [62] [240/458] learning_rate: 0.287440 loss_vfl: 1.251779 loss_bbox: 0.612777 loss_dfl: 0.463766 loss: 2.324656 eta: 1 day, 1:28:18 batch_cost: 0.6803 data_cost: 0.0028 ips: 94.0790 images/s
[03/18 17:53:40] ppdet.engine INFO: Epoch: [62] [260/458] learning_rate: 0.287396 loss_vfl: 1.312205 loss_bbox: 0.671150 loss_dfl: 0.490626 loss: 2.447211 eta: 1 day, 1:28:03 batch_cost: 0.8707 data_cost: 0.0005 ips: 73.5050 images/s
[03/18 17:53:58] ppdet.engine INFO: Epoch: [62] [280/458] learning_rate: 0.287352 loss_vfl: 1.256357 loss_bbox: 0.635748 loss_dfl: 0.457055 loss: 2.287455 eta: 1 day, 1:27:44 batch_cost: 0.8138 data_cost: 0.0033 ips: 78.6399 images/s
[03/18 17:54:18] ppdet.engine INFO: Epoch: [62] [300/458] learning_rate: 0.287307 loss_vfl: 1.392639 loss_bbox: 0.695608 loss_dfl: 0.510270 loss: 2.571362 eta: 1 day, 1:27:31 batch_cost: 0.9021 data_cost: 0.0067 ips: 70.9421 images/s
[03/18 17:54:37] ppdet.engine INFO: Epoch: [62] [320/458] learning_rate: 0.287263 loss_vfl: 1.265671 loss_bbox: 0.634423 loss_dfl: 0.474728 loss: 2.369061 eta: 1 day, 1:27:14 batch_cost: 0.8324 data_cost: 0.0026 ips: 76.8890 images/s
[03/18 17:54:57] ppdet.engine INFO: Epoch: [62] [340/458] learning_rate: 0.287218 loss_vfl: 1.273536 loss_bbox: 0.616768 loss_dfl: 0.463315 loss: 2.341767 eta: 1 day, 1:27:01 batch_cost: 0.8917 data_cost: 0.0029 ips: 71.7698 images/s
[03/18 17:55:16] ppdet.engine INFO: Epoch: [62] [360/458] learning_rate: 0.287174 loss_vfl: 1.283796 loss_bbox: 0.645423 loss_dfl: 0.483489 loss: 2.401850 eta: 1 day, 1:26:48 batch_cost: 0.8963 data_cost: 0.0031 ips: 71.4023 images/s
[03/18 17:55:36] ppdet.engine INFO: Epoch: [62] [380/458] learning_rate: 0.287129 loss_vfl: 1.292794 loss_bbox: 0.649889 loss_dfl: 0.478471 loss: 2.461472 eta: 1 day, 1:26:30 batch_cost: 0.8343 data_cost: 0.0107 ips: 76.7076 images/s
[03/18 17:55:54] ppdet.engine INFO: Epoch: [62] [400/458] learning_rate: 0.287085 loss_vfl: 1.324186 loss_bbox: 0.639734 loss_dfl: 0.489719 loss: 2.483236 eta: 1 day, 1:26:14 batch_cost: 0.8467 data_cost: 0.0015 ips: 75.5874 images/s
[03/18 17:56:15] ppdet.engine INFO: Epoch: [62] [420/458] learning_rate: 0.287040 loss_vfl: 1.311917 loss_bbox: 0.667792 loss_dfl: 0.492343 loss: 2.451846 eta: 1 day, 1:26:03 batch_cost: 0.9244 data_cost: 0.0004 ips: 69.2310 images/s
[03/18 17:56:33] ppdet.engine INFO: Epoch: [62] [440/458] learning_rate: 0.286996 loss_vfl: 1.288653 loss_bbox: 0.636995 loss_dfl: 0.466110 loss: 2.363191 eta: 1 day, 1:25:41 batch_cost: 0.7796 data_cost: 0.0049 ips: 82.0972 images/s
[03/18 17:56:56] ppdet.engine INFO: Epoch: [63] [  0/458] learning_rate: 0.286956 loss_vfl: 1.273811 loss_bbox: 0.666135 loss_dfl: 0.488856 loss: 2.434861 eta: 1 day, 1:25:44 batch_cost: 1.0477 data_cost: 0.3929 ips: 61.0873 images/s
[03/18 17:57:16] ppdet.engine INFO: Epoch: [63] [ 20/458] learning_rate: 0.286911 loss_vfl: 1.293809 loss_bbox: 0.678223 loss_dfl: 0.483356 loss: 2.493191 eta: 1 day, 1:25:31 batch_cost: 0.8925 data_cost: 0.0535 ips: 71.7113 images/s
[03/18 17:57:34] ppdet.engine INFO: Epoch: [63] [ 40/458] learning_rate: 0.286866 loss_vfl: 1.271449 loss_bbox: 0.629360 loss_dfl: 0.482097 loss: 2.426367 eta: 1 day, 1:25:10 batch_cost: 0.7821 data_cost: 0.0020 ips: 81.8297 images/s
[03/18 17:57:52] ppdet.engine INFO: Epoch: [63] [ 60/458] learning_rate: 0.286822 loss_vfl: 1.311575 loss_bbox: 0.636432 loss_dfl: 0.482643 loss: 2.410199 eta: 1 day, 1:24:47 batch_cost: 0.7643 data_cost: 0.0018 ips: 83.7343 images/s
[03/18 17:58:12] ppdet.engine INFO: Epoch: [63] [ 80/458] learning_rate: 0.286777 loss_vfl: 1.278430 loss_bbox: 0.627162 loss_dfl: 0.471555 loss: 2.395118 eta: 1 day, 1:24:33 batch_cost: 0.8772 data_cost: 0.0034 ips: 72.9587 images/s
[03/18 17:58:31] ppdet.engine INFO: Epoch: [63] [100/458] learning_rate: 0.286732 loss_vfl: 1.232819 loss_bbox: 0.602168 loss_dfl: 0.445711 loss: 2.272774 eta: 1 day, 1:24:19 batch_cost: 0.8884 data_cost: 0.0032 ips: 72.0436 images/s
[03/18 17:58:50] ppdet.engine INFO: Epoch: [63] [120/458] learning_rate: 0.286687 loss_vfl: 1.235674 loss_bbox: 0.631170 loss_dfl: 0.463187 loss: 2.317225 eta: 1 day, 1:24:00 batch_cost: 0.8099 data_cost: 0.0024 ips: 79.0186 images/s
[03/18 17:59:10] ppdet.engine INFO: Epoch: [63] [140/458] learning_rate: 0.286642 loss_vfl: 1.217530 loss_bbox: 0.614707 loss_dfl: 0.447863 loss: 2.228889 eta: 1 day, 1:23:43 batch_cost: 0.8476 data_cost: 0.0026 ips: 75.5055 images/s
[03/18 17:59:29] ppdet.engine INFO: Epoch: [63] [160/458] learning_rate: 0.286598 loss_vfl: 1.219838 loss_bbox: 0.620133 loss_dfl: 0.454018 loss: 2.318956 eta: 1 day, 1:23:31 batch_cost: 0.8996 data_cost: 0.0012 ips: 71.1419 images/s
[03/18 17:59:47] ppdet.engine INFO: Epoch: [63] [180/458] learning_rate: 0.286553 loss_vfl: 1.223891 loss_bbox: 0.606537 loss_dfl: 0.448955 loss: 2.252294 eta: 1 day, 1:23:12 batch_cost: 0.8158 data_cost: 0.0026 ips: 78.4512 images/s
[03/18 18:00:05] ppdet.engine INFO: Epoch: [63] [200/458] learning_rate: 0.286508 loss_vfl: 1.322740 loss_bbox: 0.632468 loss_dfl: 0.474311 loss: 2.399219 eta: 1 day, 1:22:49 batch_cost: 0.7619 data_cost: 0.0225 ips: 83.9996 images/s
[03/18 18:00:22] ppdet.engine INFO: Epoch: [63] [220/458] learning_rate: 0.286463 loss_vfl: 1.290614 loss_bbox: 0.647779 loss_dfl: 0.490732 loss: 2.437617 eta: 1 day, 1:22:26 batch_cost: 0.7706 data_cost: 0.0038 ips: 83.0502 images/s
[03/18 18:00:37] ppdet.engine INFO: Epoch: [63] [240/458] learning_rate: 0.286418 loss_vfl: 1.340199 loss_bbox: 0.683084 loss_dfl: 0.504816 loss: 2.483118 eta: 1 day, 1:21:53 batch_cost: 0.6161 data_cost: 0.0051 ips: 103.8863 images/s
[03/18 18:00:53] ppdet.engine INFO: Epoch: [63] [260/458] learning_rate: 0.286373 loss_vfl: 1.316249 loss_bbox: 0.632726 loss_dfl: 0.481692 loss: 2.431831 eta: 1 day, 1:21:26 batch_cost: 0.7122 data_cost: 0.0896 ips: 89.8666 images/s
[03/18 18:01:14] ppdet.engine INFO: Epoch: [63] [280/458] learning_rate: 0.286328 loss_vfl: 1.282345 loss_bbox: 0.638208 loss_dfl: 0.467029 loss: 2.356982 eta: 1 day, 1:21:17 batch_cost: 0.9534 data_cost: 0.0538 ips: 67.1311 images/s
[03/18 18:01:35] ppdet.engine INFO: Epoch: [63] [300/458] learning_rate: 0.286283 loss_vfl: 1.206095 loss_bbox: 0.631765 loss_dfl: 0.463540 loss: 2.286450 eta: 1 day, 1:21:08 batch_cost: 0.9484 data_cost: 0.0105 ips: 67.4839 images/s
[03/18 18:01:53] ppdet.engine INFO: Epoch: [63] [320/458] learning_rate: 0.286238 loss_vfl: 1.340258 loss_bbox: 0.663443 loss_dfl: 0.485549 loss: 2.504108 eta: 1 day, 1:20:51 batch_cost: 0.8339 data_cost: 0.0060 ips: 76.7450 images/s
[03/18 18:02:13] ppdet.engine INFO: Epoch: [63] [340/458] learning_rate: 0.286193 loss_vfl: 1.302569 loss_bbox: 0.667753 loss_dfl: 0.493929 loss: 2.485311 eta: 1 day, 1:20:36 batch_cost: 0.8753 data_cost: 0.0024 ips: 73.1200 images/s
[03/18 18:02:32] ppdet.engine INFO: Epoch: [63] [360/458] learning_rate: 0.286148 loss_vfl: 1.235895 loss_bbox: 0.601157 loss_dfl: 0.451438 loss: 2.283350 eta: 1 day, 1:20:18 batch_cost: 0.8210 data_cost: 0.0061 ips: 77.9540 images/s
[03/18 18:02:50] ppdet.engine INFO: Epoch: [63] [380/458] learning_rate: 0.286103 loss_vfl: 1.322135 loss_bbox: 0.638653 loss_dfl: 0.468513 loss: 2.402421 eta: 1 day, 1:19:59 batch_cost: 0.8140 data_cost: 0.0021 ips: 78.6287 images/s
[03/18 18:03:08] ppdet.engine INFO: Epoch: [63] [400/458] learning_rate: 0.286058 loss_vfl: 1.285716 loss_bbox: 0.640629 loss_dfl: 0.467307 loss: 2.391094 eta: 1 day, 1:19:40 batch_cost: 0.8158 data_cost: 0.0037 ips: 78.4537 images/s
[03/18 18:03:31] ppdet.engine INFO: Epoch: [63] [420/458] learning_rate: 0.286012 loss_vfl: 1.239313 loss_bbox: 0.617461 loss_dfl: 0.462571 loss: 2.322190 eta: 1 day, 1:19:37 batch_cost: 1.0246 data_cost: 0.0030 ips: 62.4610 images/s
[03/18 18:03:50] ppdet.engine INFO: Epoch: [63] [440/458] learning_rate: 0.285967 loss_vfl: 1.286912 loss_bbox: 0.652829 loss_dfl: 0.486652 loss: 2.425176 eta: 1 day, 1:19:21 batch_cost: 0.8607 data_cost: 0.0080 ips: 74.3617 images/s
[03/18 18:04:08] ppdet.engine INFO: Epoch: [64] [  0/458] learning_rate: 0.285927 loss_vfl: 1.330389 loss_bbox: 0.676783 loss_dfl: 0.497029 loss: 2.500965 eta: 1 day, 1:19:08 batch_cost: 0.8785 data_cost: 0.2170 ips: 72.8532 images/s
[03/18 18:04:29] ppdet.engine INFO: Epoch: [64] [ 20/458] learning_rate: 0.285881 loss_vfl: 1.326033 loss_bbox: 0.632698 loss_dfl: 0.482190 loss: 2.432575 eta: 1 day, 1:18:55 batch_cost: 0.9007 data_cost: 0.1294 ips: 71.0566 images/s
[03/18 18:04:48] ppdet.engine INFO: Epoch: [64] [ 40/458] learning_rate: 0.285836 loss_vfl: 1.302416 loss_bbox: 0.641088 loss_dfl: 0.488941 loss: 2.420311 eta: 1 day, 1:18:36 batch_cost: 0.8090 data_cost: 0.0613 ips: 79.1077 images/s
[03/18 18:05:06] ppdet.engine INFO: Epoch: [64] [ 60/458] learning_rate: 0.285791 loss_vfl: 1.255297 loss_bbox: 0.649852 loss_dfl: 0.467020 loss: 2.347052 eta: 1 day, 1:18:16 batch_cost: 0.8049 data_cost: 0.1796 ips: 79.5155 images/s
[03/18 18:05:27] ppdet.engine INFO: Epoch: [64] [ 80/458] learning_rate: 0.285745 loss_vfl: 1.351163 loss_bbox: 0.709082 loss_dfl: 0.515751 loss: 2.603603 eta: 1 day, 1:18:03 batch_cost: 0.8962 data_cost: 0.0021 ips: 71.4159 images/s
[03/18 18:05:46] ppdet.engine INFO: Epoch: [64] [100/458] learning_rate: 0.285700 loss_vfl: 1.372785 loss_bbox: 0.681278 loss_dfl: 0.520877 loss: 2.567930 eta: 1 day, 1:17:47 batch_cost: 0.8553 data_cost: 0.0041 ips: 74.8250 images/s
[03/18 18:06:08] ppdet.engine INFO: Epoch: [64] [120/458] learning_rate: 0.285655 loss_vfl: 1.286384 loss_bbox: 0.649336 loss_dfl: 0.468911 loss: 2.397241 eta: 1 day, 1:17:40 batch_cost: 0.9789 data_cost: 0.1255 ips: 65.3796 images/s
[03/18 18:06:29] ppdet.engine INFO: Epoch: [64] [140/458] learning_rate: 0.285609 loss_vfl: 1.276566 loss_bbox: 0.648531 loss_dfl: 0.480449 loss: 2.406422 eta: 1 day, 1:17:34 batch_cost: 0.9851 data_cost: 0.0014 ips: 64.9700 images/s
[03/18 18:06:49] ppdet.engine INFO: Epoch: [64] [160/458] learning_rate: 0.285564 loss_vfl: 1.356871 loss_bbox: 0.647312 loss_dfl: 0.491361 loss: 2.501137 eta: 1 day, 1:17:21 batch_cost: 0.8961 data_cost: 0.0015 ips: 71.4222 images/s
[03/18 18:07:07] ppdet.engine INFO: Epoch: [64] [180/458] learning_rate: 0.285518 loss_vfl: 1.285377 loss_bbox: 0.638182 loss_dfl: 0.465890 loss: 2.382596 eta: 1 day, 1:16:58 batch_cost: 0.7660 data_cost: 0.0009 ips: 83.5476 images/s
[03/18 18:07:26] ppdet.engine INFO: Epoch: [64] [200/458] learning_rate: 0.285473 loss_vfl: 1.276854 loss_bbox: 0.647491 loss_dfl: 0.479046 loss: 2.425805 eta: 1 day, 1:16:43 batch_cost: 0.8615 data_cost: 0.0058 ips: 74.2901 images/s
[03/18 18:07:46] ppdet.engine INFO: Epoch: [64] [220/458] learning_rate: 0.285427 loss_vfl: 1.377998 loss_bbox: 0.669354 loss_dfl: 0.493423 loss: 2.539343 eta: 1 day, 1:16:30 batch_cost: 0.9007 data_cost: 0.0415 ips: 71.0563 images/s
[03/18 18:08:00] ppdet.engine INFO: Epoch: [64] [240/458] learning_rate: 0.285382 loss_vfl: 1.281127 loss_bbox: 0.653410 loss_dfl: 0.482982 loss: 2.424023 eta: 1 day, 1:15:56 batch_cost: 0.6101 data_cost: 0.0015 ips: 104.9067 images/s
[03/18 18:08:14] ppdet.engine INFO: Epoch: [64] [260/458] learning_rate: 0.285336 loss_vfl: 1.328142 loss_bbox: 0.663565 loss_dfl: 0.501056 loss: 2.501340 eta: 1 day, 1:15:21 batch_cost: 0.5982 data_cost: 0.1137 ips: 106.9930 images/s
[03/18 18:08:34] ppdet.engine INFO: Epoch: [64] [280/458] learning_rate: 0.285291 loss_vfl: 1.277250 loss_bbox: 0.655878 loss_dfl: 0.484680 loss: 2.402388 eta: 1 day, 1:15:08 batch_cost: 0.8946 data_cost: 0.1079 ips: 71.5383 images/s
[03/18 18:08:52] ppdet.engine INFO: Epoch: [64] [300/458] learning_rate: 0.285245 loss_vfl: 1.309059 loss_bbox: 0.631879 loss_dfl: 0.490306 loss: 2.442211 eta: 1 day, 1:14:48 batch_cost: 0.7939 data_cost: 0.0051 ips: 80.6166 images/s
[03/18 18:09:13] ppdet.engine INFO: Epoch: [64] [320/458] learning_rate: 0.285199 loss_vfl: 1.304903 loss_bbox: 0.656053 loss_dfl: 0.486843 loss: 2.443898 eta: 1 day, 1:14:37 batch_cost: 0.9285 data_cost: 0.2703 ips: 68.9248 images/s
[03/18 18:09:32] ppdet.engine INFO: Epoch: [64] [340/458] learning_rate: 0.285154 loss_vfl: 1.306263 loss_bbox: 0.662213 loss_dfl: 0.487900 loss: 2.454285 eta: 1 day, 1:14:19 batch_cost: 0.8329 data_cost: 0.2967 ips: 76.8441 images/s
[03/18 18:09:52] ppdet.engine INFO: Epoch: [64] [360/458] learning_rate: 0.285108 loss_vfl: 1.314519 loss_bbox: 0.662713 loss_dfl: 0.488061 loss: 2.431525 eta: 1 day, 1:14:07 batch_cost: 0.9042 data_cost: 0.2760 ips: 70.7843 images/s
[03/18 18:10:09] ppdet.engine INFO: Epoch: [64] [380/458] learning_rate: 0.285062 loss_vfl: 1.293543 loss_bbox: 0.625692 loss_dfl: 0.469185 loss: 2.410303 eta: 1 day, 1:13:43 batch_cost: 0.7416 data_cost: 0.2440 ips: 86.2979 images/s
[03/18 18:10:30] ppdet.engine INFO: Epoch: [64] [400/458] learning_rate: 0.285017 loss_vfl: 1.290012 loss_bbox: 0.624269 loss_dfl: 0.465236 loss: 2.350795 eta: 1 day, 1:13:32 batch_cost: 0.9258 data_cost: 0.3551 ips: 69.1292 images/s
[03/18 18:10:49] ppdet.engine INFO: Epoch: [64] [420/458] learning_rate: 0.284971 loss_vfl: 1.201604 loss_bbox: 0.636302 loss_dfl: 0.462309 loss: 2.270470 eta: 1 day, 1:13:17 batch_cost: 0.8649 data_cost: 0.1730 ips: 73.9989 images/s
[03/18 18:11:08] ppdet.engine INFO: Epoch: [64] [440/458] learning_rate: 0.284925 loss_vfl: 1.233065 loss_bbox: 0.615323 loss_dfl: 0.463176 loss: 2.333326 eta: 1 day, 1:13:02 batch_cost: 0.8776 data_cost: 0.3310 ips: 72.9261 images/s
[03/18 18:11:29] ppdet.engine INFO: Epoch: [65] [  0/458] learning_rate: 0.284884 loss_vfl: 1.349681 loss_bbox: 0.656962 loss_dfl: 0.480600 loss: 2.490629 eta: 1 day, 1:12:59 batch_cost: 1.0435 data_cost: 0.5119 ips: 61.3347 images/s
[03/18 18:11:47] ppdet.engine INFO: Epoch: [65] [ 20/458] learning_rate: 0.284838 loss_vfl: 1.336129 loss_bbox: 0.674319 loss_dfl: 0.501621 loss: 2.492464 eta: 1 day, 1:12:33 batch_cost: 0.7178 data_cost: 0.0274 ips: 89.1674 images/s
[03/18 18:12:06] ppdet.engine INFO: Epoch: [65] [ 40/458] learning_rate: 0.284792 loss_vfl: 1.329313 loss_bbox: 0.671836 loss_dfl: 0.500319 loss: 2.517738 eta: 1 day, 1:12:17 batch_cost: 0.8533 data_cost: 0.1074 ips: 75.0019 images/s
[03/18 18:12:26] ppdet.engine INFO: Epoch: [65] [ 60/458] learning_rate: 0.284746 loss_vfl: 1.271326 loss_bbox: 0.644649 loss_dfl: 0.472246 loss: 2.389382 eta: 1 day, 1:12:02 batch_cost: 0.8779 data_cost: 0.0944 ips: 72.8984 images/s
[03/18 18:12:45] ppdet.engine INFO: Epoch: [65] [ 80/458] learning_rate: 0.284700 loss_vfl: 1.298875 loss_bbox: 0.652949 loss_dfl: 0.486581 loss: 2.463831 eta: 1 day, 1:11:44 batch_cost: 0.8301 data_cost: 0.2861 ips: 77.1009 images/s
[03/18 18:13:04] ppdet.engine INFO: Epoch: [65] [100/458] learning_rate: 0.284654 loss_vfl: 1.327755 loss_bbox: 0.648628 loss_dfl: 0.480237 loss: 2.447661 eta: 1 day, 1:11:27 batch_cost: 0.8399 data_cost: 0.1901 ips: 76.2005 images/s
[03/18 18:13:24] ppdet.engine INFO: Epoch: [65] [120/458] learning_rate: 0.284608 loss_vfl: 1.257796 loss_bbox: 0.616936 loss_dfl: 0.469542 loss: 2.349223 eta: 1 day, 1:11:08 batch_cost: 0.8101 data_cost: 0.3255 ips: 78.9999 images/s
[03/18 18:13:44] ppdet.engine INFO: Epoch: [65] [140/458] learning_rate: 0.284562 loss_vfl: 1.289252 loss_bbox: 0.659270 loss_dfl: 0.479614 loss: 2.411503 eta: 1 day, 1:10:57 batch_cost: 0.9263 data_cost: 0.3459 ips: 69.0952 images/s
[03/18 18:14:02] ppdet.engine INFO: Epoch: [65] [160/458] learning_rate: 0.284516 loss_vfl: 1.303444 loss_bbox: 0.642273 loss_dfl: 0.478541 loss: 2.434870 eta: 1 day, 1:10:35 batch_cost: 0.7644 data_cost: 0.1326 ips: 83.7206 images/s
[03/18 18:14:21] ppdet.engine INFO: Epoch: [65] [180/458] learning_rate: 0.284470 loss_vfl: 1.322307 loss_bbox: 0.633453 loss_dfl: 0.492343 loss: 2.468550 eta: 1 day, 1:10:18 batch_cost: 0.8431 data_cost: 0.0448 ips: 75.9118 images/s
[03/18 18:14:42] ppdet.engine INFO: Epoch: [65] [200/458] learning_rate: 0.284424 loss_vfl: 1.311121 loss_bbox: 0.669640 loss_dfl: 0.493839 loss: 2.497832 eta: 1 day, 1:10:12 batch_cost: 0.9986 data_cost: 0.0149 ips: 64.0880 images/s
[03/18 18:15:00] ppdet.engine INFO: Epoch: [65] [220/458] learning_rate: 0.284378 loss_vfl: 1.268493 loss_bbox: 0.630445 loss_dfl: 0.467009 loss: 2.379497 eta: 1 day, 1:09:49 batch_cost: 0.7641 data_cost: 0.0142 ips: 83.7542 images/s
[03/18 18:15:16] ppdet.engine INFO: Epoch: [65] [240/458] learning_rate: 0.284332 loss_vfl: 1.321628 loss_bbox: 0.679008 loss_dfl: 0.493901 loss: 2.467750 eta: 1 day, 1:09:20 batch_cost: 0.6751 data_cost: 0.0039 ips: 94.8029 images/s
[03/18 18:15:31] ppdet.engine INFO: Epoch: [65] [260/458] learning_rate: 0.284286 loss_vfl: 1.310374 loss_bbox: 0.633580 loss_dfl: 0.487157 loss: 2.449885 eta: 1 day, 1:08:48 batch_cost: 0.6280 data_cost: 0.0024 ips: 101.9096 images/s
[03/18 18:15:46] ppdet.engine INFO: Epoch: [65] [280/458] learning_rate: 0.284239 loss_vfl: 1.266689 loss_bbox: 0.634377 loss_dfl: 0.463734 loss: 2.379945 eta: 1 day, 1:08:20 batch_cost: 0.6803 data_cost: 0.2309 ips: 94.0823 images/s
[03/18 18:16:03] ppdet.engine INFO: Epoch: [65] [300/458] learning_rate: 0.284193 loss_vfl: 1.362171 loss_bbox: 0.665059 loss_dfl: 0.507157 loss: 2.544482 eta: 1 day, 1:07:53 batch_cost: 0.7039 data_cost: 0.1772 ips: 90.9206 images/s
[03/18 18:16:24] ppdet.engine INFO: Epoch: [65] [320/458] learning_rate: 0.284147 loss_vfl: 1.311282 loss_bbox: 0.622931 loss_dfl: 0.467432 loss: 2.383092 eta: 1 day, 1:07:42 batch_cost: 0.9305 data_cost: 0.1912 ips: 68.7816 images/s
[03/18 18:16:42] ppdet.engine INFO: Epoch: [65] [340/458] learning_rate: 0.284101 loss_vfl: 1.250379 loss_bbox: 0.603553 loss_dfl: 0.445944 loss: 2.255388 eta: 1 day, 1:07:21 batch_cost: 0.7868 data_cost: 0.0033 ips: 81.3450 images/s
[03/18 18:17:02] ppdet.engine INFO: Epoch: [65] [360/458] learning_rate: 0.284054 loss_vfl: 1.288597 loss_bbox: 0.623661 loss_dfl: 0.477050 loss: 2.425429 eta: 1 day, 1:07:10 batch_cost: 0.9210 data_cost: 0.2162 ips: 69.4864 images/s
[03/18 18:17:19] ppdet.engine INFO: Epoch: [65] [380/458] learning_rate: 0.284008 loss_vfl: 1.384097 loss_bbox: 0.721631 loss_dfl: 0.506105 loss: 2.579387 eta: 1 day, 1:06:46 batch_cost: 0.7347 data_cost: 0.2428 ips: 87.1056 images/s
[03/18 18:17:40] ppdet.engine INFO: Epoch: [65] [400/458] learning_rate: 0.283962 loss_vfl: 1.281464 loss_bbox: 0.625208 loss_dfl: 0.475040 loss: 2.371761 eta: 1 day, 1:06:33 batch_cost: 0.8964 data_cost: 0.2445 ips: 71.3987 images/s
[03/18 18:17:58] ppdet.engine INFO: Epoch: [65] [420/458] learning_rate: 0.283915 loss_vfl: 1.385908 loss_bbox: 0.673021 loss_dfl: 0.498984 loss: 2.548190 eta: 1 day, 1:06:15 batch_cost: 0.8270 data_cost: 0.0814 ips: 77.3863 images/s
[03/18 18:18:17] ppdet.engine INFO: Epoch: [65] [440/458] learning_rate: 0.283869 loss_vfl: 1.319723 loss_bbox: 0.667255 loss_dfl: 0.495316 loss: 2.471286 eta: 1 day, 1:05:57 batch_cost: 0.8371 data_cost: 0.1856 ips: 76.4564 images/s
[03/18 18:18:37] ppdet.engine INFO: Epoch: [66] [  0/458] learning_rate: 0.283827 loss_vfl: 1.231578 loss_bbox: 0.610849 loss_dfl: 0.453256 loss: 2.309868 eta: 1 day, 1:05:52 batch_cost: 0.9702 data_cost: 0.4957 ips: 65.9634 images/s
[03/18 18:18:57] ppdet.engine INFO: Epoch: [66] [ 20/458] learning_rate: 0.283781 loss_vfl: 1.345384 loss_bbox: 0.659455 loss_dfl: 0.502204 loss: 2.519780 eta: 1 day, 1:05:33 batch_cost: 0.8139 data_cost: 0.0974 ips: 78.6380 images/s
[03/18 18:19:16] ppdet.engine INFO: Epoch: [66] [ 40/458] learning_rate: 0.283734 loss_vfl: 1.260534 loss_bbox: 0.647021 loss_dfl: 0.479076 loss: 2.382566 eta: 1 day, 1:05:17 batch_cost: 0.8506 data_cost: 0.2902 ips: 75.2400 images/s
[03/18 18:19:35] ppdet.engine INFO: Epoch: [66] [ 60/458] learning_rate: 0.283688 loss_vfl: 1.367306 loss_bbox: 0.699662 loss_dfl: 0.511411 loss: 2.574069 eta: 1 day, 1:04:58 batch_cost: 0.8099 data_cost: 0.0301 ips: 79.0179 images/s
[03/18 18:19:54] ppdet.engine INFO: Epoch: [66] [ 80/458] learning_rate: 0.283641 loss_vfl: 1.358579 loss_bbox: 0.680806 loss_dfl: 0.495783 loss: 2.542326 eta: 1 day, 1:04:39 batch_cost: 0.8158 data_cost: 0.1891 ips: 78.4553 images/s
[03/18 18:20:15] ppdet.engine INFO: Epoch: [66] [100/458] learning_rate: 0.283595 loss_vfl: 1.314803 loss_bbox: 0.677214 loss_dfl: 0.494548 loss: 2.499436 eta: 1 day, 1:04:24 batch_cost: 0.8692 data_cost: 0.0520 ips: 73.6293 images/s
[03/18 18:20:31] ppdet.engine INFO: Epoch: [66] [120/458] learning_rate: 0.283548 loss_vfl: 1.276719 loss_bbox: 0.629152 loss_dfl: 0.467520 loss: 2.373098 eta: 1 day, 1:03:57 batch_cost: 0.6950 data_cost: 0.0372 ips: 92.0885 images/s
[03/18 18:20:51] ppdet.engine INFO: Epoch: [66] [140/458] learning_rate: 0.283502 loss_vfl: 1.315057 loss_bbox: 0.658529 loss_dfl: 0.483911 loss: 2.436585 eta: 1 day, 1:03:42 batch_cost: 0.8747 data_cost: 0.0016 ips: 73.1715 images/s
[03/18 18:21:12] ppdet.engine INFO: Epoch: [66] [160/458] learning_rate: 0.283455 loss_vfl: 1.283083 loss_bbox: 0.649676 loss_dfl: 0.480092 loss: 2.380597 eta: 1 day, 1:03:31 batch_cost: 0.9207 data_cost: 0.0032 ips: 69.5127 images/s
[03/18 18:21:31] ppdet.engine INFO: Epoch: [66] [180/458] learning_rate: 0.283408 loss_vfl: 1.297546 loss_bbox: 0.628683 loss_dfl: 0.476961 loss: 2.408932 eta: 1 day, 1:03:12 batch_cost: 0.8179 data_cost: 0.0015 ips: 78.2444 images/s
[03/18 18:21:50] ppdet.engine INFO: Epoch: [66] [200/458] learning_rate: 0.283362 loss_vfl: 1.300334 loss_bbox: 0.655352 loss_dfl: 0.483019 loss: 2.389935 eta: 1 day, 1:02:56 batch_cost: 0.8596 data_cost: 0.0036 ips: 74.4533 images/s
[03/18 18:22:09] ppdet.engine INFO: Epoch: [66] [220/458] learning_rate: 0.283315 loss_vfl: 1.247080 loss_bbox: 0.623383 loss_dfl: 0.460789 loss: 2.301730 eta: 1 day, 1:02:38 batch_cost: 0.8223 data_cost: 0.0020 ips: 77.8295 images/s
[03/18 18:22:28] ppdet.engine INFO: Epoch: [66] [240/458] learning_rate: 0.283268 loss_vfl: 1.234408 loss_bbox: 0.622730 loss_dfl: 0.458681 loss: 2.331648 eta: 1 day, 1:02:24 batch_cost: 0.8843 data_cost: 0.0062 ips: 72.3756 images/s
[03/18 18:22:45] ppdet.engine INFO: Epoch: [66] [260/458] learning_rate: 0.283221 loss_vfl: 1.303566 loss_bbox: 0.652916 loss_dfl: 0.477326 loss: 2.418352 eta: 1 day, 1:02:00 batch_cost: 0.7411 data_cost: 0.0347 ips: 86.3615 images/s
[03/18 18:23:01] ppdet.engine INFO: Epoch: [66] [280/458] learning_rate: 0.283175 loss_vfl: 1.308173 loss_bbox: 0.626179 loss_dfl: 0.473980 loss: 2.465075 eta: 1 day, 1:01:31 batch_cost: 0.6640 data_cost: 0.1071 ips: 96.3806 images/s
[03/18 18:23:15] ppdet.engine INFO: Epoch: [66] [300/458] learning_rate: 0.283128 loss_vfl: 1.301225 loss_bbox: 0.641518 loss_dfl: 0.477529 loss: 2.411936 eta: 1 day, 1:00:58 batch_cost: 0.6225 data_cost: 0.1313 ips: 102.8174 images/s
[03/18 18:23:31] ppdet.engine INFO: Epoch: [66] [320/458] learning_rate: 0.283081 loss_vfl: 1.250221 loss_bbox: 0.662033 loss_dfl: 0.482408 loss: 2.402155 eta: 1 day, 1:00:34 batch_cost: 0.7329 data_cost: 0.1033 ips: 87.3223 images/s
[03/18 18:23:51] ppdet.engine INFO: Epoch: [66] [340/458] learning_rate: 0.283034 loss_vfl: 1.352874 loss_bbox: 0.660126 loss_dfl: 0.501062 loss: 2.519128 eta: 1 day, 1:00:19 batch_cost: 0.8784 data_cost: 0.3331 ips: 72.8614 images/s
[03/18 18:24:08] ppdet.engine INFO: Epoch: [66] [360/458] learning_rate: 0.282987 loss_vfl: 1.246569 loss_bbox: 0.608283 loss_dfl: 0.465610 loss: 2.294887 eta: 1 day, 0:59:57 batch_cost: 0.7667 data_cost: 0.0818 ips: 83.4747 images/s
[03/18 18:24:26] ppdet.engine INFO: Epoch: [66] [380/458] learning_rate: 0.282940 loss_vfl: 1.327858 loss_bbox: 0.662981 loss_dfl: 0.495581 loss: 2.454106 eta: 1 day, 0:59:36 batch_cost: 0.7830 data_cost: 0.1528 ips: 81.7385 images/s
[03/18 18:24:46] ppdet.engine INFO: Epoch: [66] [400/458] learning_rate: 0.282893 loss_vfl: 1.287882 loss_bbox: 0.611809 loss_dfl: 0.469981 loss: 2.375057 eta: 1 day, 0:59:21 batch_cost: 0.8671 data_cost: 0.0709 ips: 73.8063 images/s
[03/18 18:25:06] ppdet.engine INFO: Epoch: [66] [420/458] learning_rate: 0.282846 loss_vfl: 1.341530 loss_bbox: 0.652704 loss_dfl: 0.489139 loss: 2.500918 eta: 1 day, 0:59:09 batch_cost: 0.9144 data_cost: 0.1128 ips: 69.9896 images/s
[03/18 18:25:25] ppdet.engine INFO: Epoch: [66] [440/458] learning_rate: 0.282799 loss_vfl: 1.323709 loss_bbox: 0.691312 loss_dfl: 0.510944 loss: 2.518669 eta: 1 day, 0:58:50 batch_cost: 0.8125 data_cost: 0.0827 ips: 78.7740 images/s
[03/18 18:25:46] ppdet.engine INFO: Epoch: [67] [  0/458] learning_rate: 0.282757 loss_vfl: 1.274750 loss_bbox: 0.648690 loss_dfl: 0.480010 loss: 2.401302 eta: 1 day, 0:58:42 batch_cost: 0.9238 data_cost: 0.3581 ips: 69.2794 images/s
[03/18 18:26:06] ppdet.engine INFO: Epoch: [67] [ 20/458] learning_rate: 0.282710 loss_vfl: 1.319319 loss_bbox: 0.659176 loss_dfl: 0.495644 loss: 2.543738 eta: 1 day, 0:58:28 batch_cost: 0.8782 data_cost: 0.0417 ips: 72.8790 images/s
[03/18 18:26:24] ppdet.engine INFO: Epoch: [67] [ 40/458] learning_rate: 0.282663 loss_vfl: 1.291403 loss_bbox: 0.635488 loss_dfl: 0.470671 loss: 2.418913 eta: 1 day, 0:58:07 batch_cost: 0.7856 data_cost: 0.0051 ips: 81.4646 images/s
[03/18 18:26:43] ppdet.engine INFO: Epoch: [67] [ 60/458] learning_rate: 0.282616 loss_vfl: 1.286075 loss_bbox: 0.643463 loss_dfl: 0.473153 loss: 2.377024 eta: 1 day, 0:57:50 batch_cost: 0.8317 data_cost: 0.0553 ips: 76.9475 images/s
[03/18 18:27:00] ppdet.engine INFO: Epoch: [67] [ 80/458] learning_rate: 0.282569 loss_vfl: 1.346668 loss_bbox: 0.669159 loss_dfl: 0.484107 loss: 2.506452 eta: 1 day, 0:57:28 batch_cost: 0.7732 data_cost: 0.0067 ips: 82.7772 images/s
[03/18 18:27:18] ppdet.engine INFO: Epoch: [67] [100/458] learning_rate: 0.282522 loss_vfl: 1.272316 loss_bbox: 0.626918 loss_dfl: 0.472908 loss: 2.415589 eta: 1 day, 0:57:08 batch_cost: 0.7963 data_cost: 0.0194 ips: 80.3749 images/s
[03/18 18:27:38] ppdet.engine INFO: Epoch: [67] [120/458] learning_rate: 0.282474 loss_vfl: 1.310561 loss_bbox: 0.621013 loss_dfl: 0.488853 loss: 2.415327 eta: 1 day, 0:56:54 batch_cost: 0.8931 data_cost: 0.0023 ips: 71.6582 images/s
[03/18 18:27:58] ppdet.engine INFO: Epoch: [67] [140/458] learning_rate: 0.282427 loss_vfl: 1.383472 loss_bbox: 0.686759 loss_dfl: 0.511629 loss: 2.612207 eta: 1 day, 0:56:38 batch_cost: 0.8544 data_cost: 0.0017 ips: 74.9039 images/s
[03/18 18:28:18] ppdet.engine INFO: Epoch: [67] [160/458] learning_rate: 0.282380 loss_vfl: 1.304585 loss_bbox: 0.652233 loss_dfl: 0.483515 loss: 2.478836 eta: 1 day, 0:56:24 batch_cost: 0.8765 data_cost: 0.0020 ips: 73.0204 images/s
[03/18 18:28:38] ppdet.engine INFO: Epoch: [67] [180/458] learning_rate: 0.282333 loss_vfl: 1.313878 loss_bbox: 0.687363 loss_dfl: 0.491679 loss: 2.474372 eta: 1 day, 0:56:09 batch_cost: 0.8681 data_cost: 0.0012 ips: 73.7284 images/s
[03/18 18:28:54] ppdet.engine INFO: Epoch: [67] [200/458] learning_rate: 0.282285 loss_vfl: 1.377890 loss_bbox: 0.700656 loss_dfl: 0.520467 loss: 2.603498 eta: 1 day, 0:55:46 batch_cost: 0.7563 data_cost: 0.0022 ips: 84.6181 images/s
[03/18 18:29:14] ppdet.engine INFO: Epoch: [67] [220/458] learning_rate: 0.282238 loss_vfl: 1.282883 loss_bbox: 0.650227 loss_dfl: 0.476934 loss: 2.412532 eta: 1 day, 0:55:29 batch_cost: 0.8415 data_cost: 0.0033 ips: 76.0558 images/s
[03/18 18:29:34] ppdet.engine INFO: Epoch: [67] [240/458] learning_rate: 0.282191 loss_vfl: 1.260287 loss_bbox: 0.608164 loss_dfl: 0.463861 loss: 2.342618 eta: 1 day, 0:55:16 batch_cost: 0.8967 data_cost: 0.0010 ips: 71.3693 images/s
[03/18 18:29:51] ppdet.engine INFO: Epoch: [67] [260/458] learning_rate: 0.282143 loss_vfl: 1.298778 loss_bbox: 0.677083 loss_dfl: 0.489937 loss: 2.449652 eta: 1 day, 0:54:51 batch_cost: 0.7249 data_cost: 0.0018 ips: 88.2909 images/s
[03/18 18:30:11] ppdet.engine INFO: Epoch: [67] [280/458] learning_rate: 0.282096 loss_vfl: 1.319339 loss_bbox: 0.672432 loss_dfl: 0.486537 loss: 2.457025 eta: 1 day, 0:54:35 batch_cost: 0.8539 data_cost: 0.0004 ips: 74.9491 images/s
[03/18 18:30:25] ppdet.engine INFO: Epoch: [67] [300/458] learning_rate: 0.282049 loss_vfl: 1.274167 loss_bbox: 0.629484 loss_dfl: 0.474696 loss: 2.395215 eta: 1 day, 0:54:02 batch_cost: 0.6026 data_cost: 0.0182 ips: 106.2096 images/s
[03/18 18:30:41] ppdet.engine INFO: Epoch: [67] [320/458] learning_rate: 0.282001 loss_vfl: 1.241879 loss_bbox: 0.629475 loss_dfl: 0.462978 loss: 2.311066 eta: 1 day, 0:53:39 batch_cost: 0.7524 data_cost: 0.0599 ips: 85.0597 images/s
[03/18 18:30:57] ppdet.engine INFO: Epoch: [67] [340/458] learning_rate: 0.281954 loss_vfl: 1.201273 loss_bbox: 0.589617 loss_dfl: 0.441399 loss: 2.254381 eta: 1 day, 0:53:11 batch_cost: 0.6803 data_cost: 0.0005 ips: 94.0765 images/s
[03/18 18:31:14] ppdet.engine INFO: Epoch: [67] [360/458] learning_rate: 0.281906 loss_vfl: 1.264772 loss_bbox: 0.605330 loss_dfl: 0.456292 loss: 2.310263 eta: 1 day, 0:52:46 batch_cost: 0.7342 data_cost: 0.0014 ips: 87.1672 images/s
[03/18 18:31:33] ppdet.engine INFO: Epoch: [67] [380/458] learning_rate: 0.281859 loss_vfl: 1.312472 loss_bbox: 0.646939 loss_dfl: 0.473221 loss: 2.494562 eta: 1 day, 0:52:31 batch_cost: 0.8619 data_cost: 0.2451 ips: 74.2577 images/s
[03/18 18:31:52] ppdet.engine INFO: Epoch: [67] [400/458] learning_rate: 0.281811 loss_vfl: 1.309188 loss_bbox: 0.641608 loss_dfl: 0.469573 loss: 2.414110 eta: 1 day, 0:52:13 batch_cost: 0.8234 data_cost: 0.2555 ips: 77.7297 images/s
[03/18 18:32:11] ppdet.engine INFO: Epoch: [67] [420/458] learning_rate: 0.281764 loss_vfl: 1.286735 loss_bbox: 0.652470 loss_dfl: 0.489568 loss: 2.431018 eta: 1 day, 0:51:58 batch_cost: 0.8729 data_cost: 0.2877 ips: 73.3216 images/s
[03/18 18:32:32] ppdet.engine INFO: Epoch: [67] [440/458] learning_rate: 0.281716 loss_vfl: 1.249697 loss_bbox: 0.611219 loss_dfl: 0.459045 loss: 2.302176 eta: 1 day, 0:51:47 batch_cost: 0.9252 data_cost: 0.3136 ips: 69.1734 images/s
[03/18 18:32:55] ppdet.engine INFO: Epoch: [68] [  0/458] learning_rate: 0.281673 loss_vfl: 1.372261 loss_bbox: 0.665784 loss_dfl: 0.497208 loss: 2.525293 eta: 1 day, 0:51:51 batch_cost: 1.1197 data_cost: 0.6884 ips: 57.1596 images/s
[03/18 18:33:15] ppdet.engine INFO: Epoch: [68] [ 20/458] learning_rate: 0.281626 loss_vfl: 1.326629 loss_bbox: 0.663165 loss_dfl: 0.497483 loss: 2.465796 eta: 1 day, 0:51:30 batch_cost: 0.7949 data_cost: 0.0903 ips: 80.5145 images/s
[03/18 18:33:37] ppdet.engine INFO: Epoch: [68] [ 40/458] learning_rate: 0.281578 loss_vfl: 1.299938 loss_bbox: 0.640192 loss_dfl: 0.479149 loss: 2.398120 eta: 1 day, 0:51:24 batch_cost: 0.9898 data_cost: 0.0536 ips: 64.6598 images/s
[03/18 18:33:59] ppdet.engine INFO: Epoch: [68] [ 60/458] learning_rate: 0.281530 loss_vfl: 1.307131 loss_bbox: 0.671650 loss_dfl: 0.508630 loss: 2.550581 eta: 1 day, 0:51:17 batch_cost: 0.9924 data_cost: 0.1113 ips: 64.4908 images/s
[03/18 18:34:22] ppdet.engine INFO: Epoch: [68] [ 80/458] learning_rate: 0.281483 loss_vfl: 1.227800 loss_bbox: 0.629622 loss_dfl: 0.472117 loss: 2.314769 eta: 1 day, 0:51:08 batch_cost: 0.9529 data_cost: 0.0071 ips: 67.1667 images/s
[03/18 18:34:39] ppdet.engine INFO: Epoch: [68] [100/458] learning_rate: 0.281435 loss_vfl: 1.303093 loss_bbox: 0.684338 loss_dfl: 0.502155 loss: 2.492570 eta: 1 day, 0:50:43 batch_cost: 0.7268 data_cost: 0.0062 ips: 88.0622 images/s
[03/18 18:35:00] ppdet.engine INFO: Epoch: [68] [120/458] learning_rate: 0.281387 loss_vfl: 1.298698 loss_bbox: 0.659509 loss_dfl: 0.498075 loss: 2.475242 eta: 1 day, 0:50:30 batch_cost: 0.8991 data_cost: 0.0335 ips: 71.1844 images/s
[03/18 18:35:19] ppdet.engine INFO: Epoch: [68] [140/458] learning_rate: 0.281339 loss_vfl: 1.286089 loss_bbox: 0.648321 loss_dfl: 0.480316 loss: 2.449588 eta: 1 day, 0:50:14 batch_cost: 0.8588 data_cost: 0.2068 ips: 74.5227 images/s
[03/18 18:35:38] ppdet.engine INFO: Epoch: [68] [160/458] learning_rate: 0.281292 loss_vfl: 1.360635 loss_bbox: 0.683414 loss_dfl: 0.511242 loss: 2.541448 eta: 1 day, 0:49:58 batch_cost: 0.8574 data_cost: 0.3484 ips: 74.6405 images/s
[03/18 18:36:01] ppdet.engine INFO: Epoch: [68] [180/458] learning_rate: 0.281244 loss_vfl: 1.222759 loss_bbox: 0.668353 loss_dfl: 0.471284 loss: 2.371140 eta: 1 day, 0:49:51 batch_cost: 0.9880 data_cost: 0.4804 ips: 64.7776 images/s
[03/18 18:36:22] ppdet.engine INFO: Epoch: [68] [200/458] learning_rate: 0.281196 loss_vfl: 1.369776 loss_bbox: 0.653844 loss_dfl: 0.498692 loss: 2.515522 eta: 1 day, 0:49:42 batch_cost: 0.9482 data_cost: 0.2785 ips: 67.4936 images/s
[03/18 18:36:40] ppdet.engine INFO: Epoch: [68] [220/458] learning_rate: 0.281148 loss_vfl: 1.332755 loss_bbox: 0.641720 loss_dfl: 0.491158 loss: 2.458763 eta: 1 day, 0:49:22 batch_cost: 0.8071 data_cost: 0.2628 ips: 79.2969 images/s
[03/18 18:36:59] ppdet.engine INFO: Epoch: [68] [240/458] learning_rate: 0.281100 loss_vfl: 1.248765 loss_bbox: 0.619853 loss_dfl: 0.464891 loss: 2.336821 eta: 1 day, 0:49:06 batch_cost: 0.8466 data_cost: 0.2775 ips: 75.5965 images/s
[03/18 18:37:18] ppdet.engine INFO: Epoch: [68] [260/458] learning_rate: 0.281052 loss_vfl: 1.243442 loss_bbox: 0.636441 loss_dfl: 0.465199 loss: 2.328492 eta: 1 day, 0:48:45 batch_cost: 0.7918 data_cost: 0.2152 ips: 80.8234 images/s
[03/18 18:37:35] ppdet.engine INFO: Epoch: [68] [280/458] learning_rate: 0.281004 loss_vfl: 1.300490 loss_bbox: 0.644555 loss_dfl: 0.470402 loss: 2.357127 eta: 1 day, 0:48:22 batch_cost: 0.7485 data_cost: 0.2627 ips: 85.5081 images/s
[03/18 18:37:50] ppdet.engine INFO: Epoch: [68] [300/458] learning_rate: 0.280956 loss_vfl: 1.331324 loss_bbox: 0.732106 loss_dfl: 0.525621 loss: 2.597401 eta: 1 day, 0:47:53 batch_cost: 0.6661 data_cost: 0.1533 ips: 96.0822 images/s
[03/18 18:38:10] ppdet.engine INFO: Epoch: [68] [320/458] learning_rate: 0.280908 loss_vfl: 1.275467 loss_bbox: 0.640076 loss_dfl: 0.480860 loss: 2.339697 eta: 1 day, 0:47:39 batch_cost: 0.8833 data_cost: 0.1474 ips: 72.4558 images/s
[03/18 18:38:30] ppdet.engine INFO: Epoch: [68] [340/458] learning_rate: 0.280860 loss_vfl: 1.266299 loss_bbox: 0.629094 loss_dfl: 0.457736 loss: 2.348764 eta: 1 day, 0:47:29 batch_cost: 0.9363 data_cost: 0.0611 ips: 68.3578 images/s
[03/18 18:38:48] ppdet.engine INFO: Epoch: [68] [360/458] learning_rate: 0.280812 loss_vfl: 1.322348 loss_bbox: 0.679650 loss_dfl: 0.503369 loss: 2.493708 eta: 1 day, 0:47:05 batch_cost: 0.7469 data_cost: 0.0093 ips: 85.6900 images/s
[03/18 18:39:09] ppdet.engine INFO: Epoch: [68] [380/458] learning_rate: 0.280764 loss_vfl: 1.290206 loss_bbox: 0.632397 loss_dfl: 0.463434 loss: 2.376246 eta: 1 day, 0:46:55 batch_cost: 0.9307 data_cost: 0.3500 ips: 68.7676 images/s
[03/18 18:39:28] ppdet.engine INFO: Epoch: [68] [400/458] learning_rate: 0.280716 loss_vfl: 1.288955 loss_bbox: 0.659336 loss_dfl: 0.485167 loss: 2.438302 eta: 1 day, 0:46:36 batch_cost: 0.8200 data_cost: 0.2926 ips: 78.0533 images/s
[03/18 18:39:50] ppdet.engine INFO: Epoch: [68] [420/458] learning_rate: 0.280668 loss_vfl: 1.296990 loss_bbox: 0.666881 loss_dfl: 0.493608 loss: 2.463663 eta: 1 day, 0:46:29 batch_cost: 0.9805 data_cost: 0.3376 ips: 65.2720 images/s
[03/18 18:40:10] ppdet.engine INFO: Epoch: [68] [440/458] learning_rate: 0.280620 loss_vfl: 1.267047 loss_bbox: 0.660535 loss_dfl: 0.478381 loss: 2.400333 eta: 1 day, 0:46:16 batch_cost: 0.9106 data_cost: 0.2811 ips: 70.2866 images/s
[03/18 18:40:33] ppdet.engine INFO: Epoch: [69] [  0/458] learning_rate: 0.280576 loss_vfl: 1.338776 loss_bbox: 0.668680 loss_dfl: 0.492538 loss: 2.507436 eta: 1 day, 0:46:18 batch_cost: 1.0893 data_cost: 0.5702 ips: 58.7542 images/s
[03/18 18:40:52] ppdet.engine INFO: Epoch: [69] [ 20/458] learning_rate: 0.280528 loss_vfl: 1.239789 loss_bbox: 0.613933 loss_dfl: 0.462744 loss: 2.338832 eta: 1 day, 0:46:01 batch_cost: 0.8336 data_cost: 0.1922 ips: 76.7741 images/s
[03/18 18:41:13] ppdet.engine INFO: Epoch: [69] [ 40/458] learning_rate: 0.280480 loss_vfl: 1.395003 loss_bbox: 0.676143 loss_dfl: 0.511267 loss: 2.562542 eta: 1 day, 0:45:50 batch_cost: 0.9282 data_cost: 0.4722 ips: 68.9507 images/s
[03/18 18:41:35] ppdet.engine INFO: Epoch: [69] [ 60/458] learning_rate: 0.280431 loss_vfl: 1.320208 loss_bbox: 0.653119 loss_dfl: 0.480350 loss: 2.457208 eta: 1 day, 0:45:42 batch_cost: 0.9814 data_cost: 0.3952 ips: 65.2124 images/s
[03/18 18:41:54] ppdet.engine INFO: Epoch: [69] [ 80/458] learning_rate: 0.280383 loss_vfl: 1.307785 loss_bbox: 0.651006 loss_dfl: 0.478982 loss: 2.434407 eta: 1 day, 0:45:22 batch_cost: 0.7960 data_cost: 0.3333 ips: 80.4034 images/s
[03/18 18:42:15] ppdet.engine INFO: Epoch: [69] [100/458] learning_rate: 0.280335 loss_vfl: 1.305213 loss_bbox: 0.664083 loss_dfl: 0.485254 loss: 2.448118 eta: 1 day, 0:45:14 batch_cost: 0.9752 data_cost: 0.4078 ips: 65.6294 images/s
[03/18 18:42:33] ppdet.engine INFO: Epoch: [69] [120/458] learning_rate: 0.280287 loss_vfl: 1.302100 loss_bbox: 0.638553 loss_dfl: 0.465771 loss: 2.378285 eta: 1 day, 0:44:51 batch_cost: 0.7492 data_cost: 0.1681 ips: 85.4246 images/s
[03/18 18:42:53] ppdet.engine INFO: Epoch: [69] [140/458] learning_rate: 0.280238 loss_vfl: 1.325090 loss_bbox: 0.681574 loss_dfl: 0.510180 loss: 2.493316 eta: 1 day, 0:44:39 batch_cost: 0.9145 data_cost: 0.2893 ips: 69.9839 images/s
[03/18 18:43:14] ppdet.engine INFO: Epoch: [69] [160/458] learning_rate: 0.280190 loss_vfl: 1.335751 loss_bbox: 0.645800 loss_dfl: 0.474353 loss: 2.449790 eta: 1 day, 0:44:26 batch_cost: 0.9118 data_cost: 0.3334 ips: 70.1909 images/s
[03/18 18:43:32] ppdet.engine INFO: Epoch: [69] [180/458] learning_rate: 0.280141 loss_vfl: 1.197366 loss_bbox: 0.623669 loss_dfl: 0.461358 loss: 2.310104 eta: 1 day, 0:44:05 batch_cost: 0.7717 data_cost: 0.2170 ips: 82.9313 images/s
[03/18 18:43:54] ppdet.engine INFO: Epoch: [69] [200/458] learning_rate: 0.280093 loss_vfl: 1.290737 loss_bbox: 0.640969 loss_dfl: 0.472197 loss: 2.429009 eta: 1 day, 0:43:57 batch_cost: 0.9755 data_cost: 0.3067 ips: 65.6052 images/s
[03/18 18:44:12] ppdet.engine INFO: Epoch: [69] [220/458] learning_rate: 0.280044 loss_vfl: 1.258714 loss_bbox: 0.624492 loss_dfl: 0.465187 loss: 2.348394 eta: 1 day, 0:43:36 batch_cost: 0.7855 data_cost: 0.1644 ips: 81.4762 images/s
[03/18 18:44:32] ppdet.engine INFO: Epoch: [69] [240/458] learning_rate: 0.279996 loss_vfl: 1.335723 loss_bbox: 0.668767 loss_dfl: 0.509708 loss: 2.563724 eta: 1 day, 0:43:20 batch_cost: 0.8552 data_cost: 0.1699 ips: 74.8367 images/s
[03/18 18:44:47] ppdet.engine INFO: Epoch: [69] [260/458] learning_rate: 0.279947 loss_vfl: 1.245977 loss_bbox: 0.594990 loss_dfl: 0.444555 loss: 2.299675 eta: 1 day, 0:42:51 batch_cost: 0.6578 data_cost: 0.1500 ips: 97.2970 images/s
[03/18 18:45:03] ppdet.engine INFO: Epoch: [69] [280/458] learning_rate: 0.279899 loss_vfl: 1.260225 loss_bbox: 0.620285 loss_dfl: 0.465177 loss: 2.338239 eta: 1 day, 0:42:23 batch_cost: 0.6839 data_cost: 0.1763 ips: 93.5768 images/s
[03/18 18:45:17] ppdet.engine INFO: Epoch: [69] [300/458] learning_rate: 0.279850 loss_vfl: 1.276582 loss_bbox: 0.615569 loss_dfl: 0.448656 loss: 2.327873 eta: 1 day, 0:41:49 batch_cost: 0.5750 data_cost: 0.0551 ips: 111.3104 images/s
[03/18 18:45:37] ppdet.engine INFO: Epoch: [69] [320/458] learning_rate: 0.279802 loss_vfl: 1.263256 loss_bbox: 0.641648 loss_dfl: 0.483636 loss: 2.363805 eta: 1 day, 0:41:35 batch_cost: 0.8946 data_cost: 0.1885 ips: 71.5442 images/s
[03/18 18:45:57] ppdet.engine INFO: Epoch: [69] [340/458] learning_rate: 0.279753 loss_vfl: 1.302197 loss_bbox: 0.645674 loss_dfl: 0.465992 loss: 2.410781 eta: 1 day, 0:41:21 batch_cost: 0.8748 data_cost: 0.0016 ips: 73.1612 images/s
[03/18 18:46:16] ppdet.engine INFO: Epoch: [69] [360/458] learning_rate: 0.279704 loss_vfl: 1.303341 loss_bbox: 0.631943 loss_dfl: 0.479389 loss: 2.406049 eta: 1 day, 0:41:05 batch_cost: 0.8663 data_cost: 0.1824 ips: 73.8739 images/s
[03/18 18:46:36] ppdet.engine INFO: Epoch: [69] [380/458] learning_rate: 0.279656 loss_vfl: 1.316768 loss_bbox: 0.624672 loss_dfl: 0.479154 loss: 2.396927 eta: 1 day, 0:40:50 batch_cost: 0.8661 data_cost: 0.3009 ips: 73.8977 images/s
[03/18 18:46:56] ppdet.engine INFO: Epoch: [69] [400/458] learning_rate: 0.279607 loss_vfl: 1.332148 loss_bbox: 0.615896 loss_dfl: 0.466957 loss: 2.406436 eta: 1 day, 0:40:33 batch_cost: 0.8466 data_cost: 0.0452 ips: 75.5987 images/s
[03/18 18:47:17] ppdet.engine INFO: Epoch: [69] [420/458] learning_rate: 0.279558 loss_vfl: 1.284513 loss_bbox: 0.631824 loss_dfl: 0.469857 loss: 2.344480 eta: 1 day, 0:40:22 batch_cost: 0.9248 data_cost: 0.0034 ips: 69.2039 images/s
[03/18 18:47:36] ppdet.engine INFO: Epoch: [69] [440/458] learning_rate: 0.279510 loss_vfl: 1.236183 loss_bbox: 0.622613 loss_dfl: 0.454128 loss: 2.309081 eta: 1 day, 0:40:05 batch_cost: 0.8428 data_cost: 0.1770 ips: 75.9409 images/s
[03/18 18:47:49] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 18:47:49] ppdet.engine INFO: Eval iter: 0
[03/18 18:48:11] ppdet.engine INFO: Eval iter: 100
[03/18 18:48:22] ppdet.engine INFO: Eval iter: 200
[03/18 18:48:32] ppdet.engine INFO: Eval iter: 300
[03/18 18:48:43] ppdet.engine INFO: Eval iter: 400
[03/18 18:48:54] ppdet.engine INFO: Eval iter: 500
[03/18 18:49:05] ppdet.engine INFO: Eval iter: 600
[03/18 18:49:19] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.58s)
creating index...
index created!
[03/18 18:49:20] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.39s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.78s).
Accumulating evaluation results...
DONE (t=15.54s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.187
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.299
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.195
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.054
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.177
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.335
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.210
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.335
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.355
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.093
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.382
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.613
[03/18 18:50:59] ppdet.engine INFO: Total sample number: 4952, averge FPS: 63.06836887611233
[03/18 18:50:59] ppdet.engine INFO: Best test bbox ap is 0.187.
[03/18 18:50:59] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 18:51:00] ppdet.engine INFO: Epoch: [70] [  0/458] learning_rate: 0.279466 loss_vfl: 1.378238 loss_bbox: 0.682220 loss_dfl: 0.498560 loss: 2.582650 eta: 1 day, 0:39:33 batch_cost: 0.6507 data_cost: 0.1908 ips: 98.3532 images/s
[03/18 18:51:15] ppdet.engine INFO: Epoch: [70] [ 20/458] learning_rate: 0.279417 loss_vfl: 1.316345 loss_bbox: 0.669755 loss_dfl: 0.500043 loss: 2.479134 eta: 1 day, 0:39:05 batch_cost: 0.6871 data_cost: 0.1694 ips: 93.1503 images/s
[03/18 18:51:34] ppdet.engine INFO: Epoch: [70] [ 40/458] learning_rate: 0.279368 loss_vfl: 1.297532 loss_bbox: 0.621292 loss_dfl: 0.467843 loss: 2.397285 eta: 1 day, 0:38:49 batch_cost: 0.8438 data_cost: 0.2249 ips: 75.8502 images/s
[03/18 18:51:49] ppdet.engine INFO: Epoch: [70] [ 60/458] learning_rate: 0.279319 loss_vfl: 1.276408 loss_bbox: 0.643730 loss_dfl: 0.481180 loss: 2.390036 eta: 1 day, 0:38:17 batch_cost: 0.6234 data_cost: 0.1177 ips: 102.6626 images/s
[03/18 18:52:06] ppdet.engine INFO: Epoch: [70] [ 80/458] learning_rate: 0.279270 loss_vfl: 1.314685 loss_bbox: 0.641586 loss_dfl: 0.473141 loss: 2.436168 eta: 1 day, 0:37:55 batch_cost: 0.7499 data_cost: 0.1693 ips: 85.3448 images/s
[03/18 18:52:26] ppdet.engine INFO: Epoch: [70] [100/458] learning_rate: 0.279222 loss_vfl: 1.298080 loss_bbox: 0.627004 loss_dfl: 0.481663 loss: 2.433349 eta: 1 day, 0:37:37 batch_cost: 0.8286 data_cost: 0.2964 ips: 77.2430 images/s
[03/18 18:52:46] ppdet.engine INFO: Epoch: [70] [120/458] learning_rate: 0.279173 loss_vfl: 1.286799 loss_bbox: 0.623851 loss_dfl: 0.469131 loss: 2.349689 eta: 1 day, 0:37:23 batch_cost: 0.8863 data_cost: 0.3286 ips: 72.2081 images/s
[03/18 18:53:07] ppdet.engine INFO: Epoch: [70] [140/458] learning_rate: 0.279124 loss_vfl: 1.329060 loss_bbox: 0.664405 loss_dfl: 0.485751 loss: 2.470886 eta: 1 day, 0:37:14 batch_cost: 0.9591 data_cost: 0.4437 ips: 66.7290 images/s
[03/18 18:53:28] ppdet.engine INFO: Epoch: [70] [160/458] learning_rate: 0.279075 loss_vfl: 1.267975 loss_bbox: 0.634583 loss_dfl: 0.462809 loss: 2.368669 eta: 1 day, 0:37:01 batch_cost: 0.9057 data_cost: 0.3996 ips: 70.6631 images/s
[03/18 18:53:45] ppdet.engine INFO: Epoch: [70] [180/458] learning_rate: 0.279026 loss_vfl: 1.354570 loss_bbox: 0.694463 loss_dfl: 0.507631 loss: 2.551025 eta: 1 day, 0:36:35 batch_cost: 0.7081 data_cost: 0.1402 ips: 90.3864 images/s
[03/18 18:54:06] ppdet.engine INFO: Epoch: [70] [200/458] learning_rate: 0.278977 loss_vfl: 1.335212 loss_bbox: 0.654821 loss_dfl: 0.492742 loss: 2.492351 eta: 1 day, 0:36:24 batch_cost: 0.9279 data_cost: 0.4008 ips: 68.9762 images/s
[03/18 18:54:28] ppdet.engine INFO: Epoch: [70] [220/458] learning_rate: 0.278928 loss_vfl: 1.334537 loss_bbox: 0.646755 loss_dfl: 0.476394 loss: 2.394944 eta: 1 day, 0:36:14 batch_cost: 0.9546 data_cost: 0.4752 ips: 67.0451 images/s
[03/18 18:54:46] ppdet.engine INFO: Epoch: [70] [240/458] learning_rate: 0.278879 loss_vfl: 1.326421 loss_bbox: 0.664655 loss_dfl: 0.494686 loss: 2.473341 eta: 1 day, 0:35:54 batch_cost: 0.7888 data_cost: 0.3026 ips: 81.1386 images/s
[03/18 18:55:06] ppdet.engine INFO: Epoch: [70] [260/458] learning_rate: 0.278830 loss_vfl: 1.279737 loss_bbox: 0.644836 loss_dfl: 0.481891 loss: 2.409430 eta: 1 day, 0:35:39 batch_cost: 0.8708 data_cost: 0.3329 ips: 73.4933 images/s
[03/18 18:55:28] ppdet.engine INFO: Epoch: [70] [280/458] learning_rate: 0.278780 loss_vfl: 1.295624 loss_bbox: 0.634388 loss_dfl: 0.469241 loss: 2.345645 eta: 1 day, 0:35:32 batch_cost: 0.9908 data_cost: 0.5497 ips: 64.5961 images/s
[03/18 18:55:45] ppdet.engine INFO: Epoch: [70] [300/458] learning_rate: 0.278731 loss_vfl: 1.346366 loss_bbox: 0.668479 loss_dfl: 0.508471 loss: 2.530850 eta: 1 day, 0:35:08 batch_cost: 0.7408 data_cost: 0.1922 ips: 86.3891 images/s
[03/18 18:56:04] ppdet.engine INFO: Epoch: [70] [320/458] learning_rate: 0.278682 loss_vfl: 1.313317 loss_bbox: 0.640702 loss_dfl: 0.481067 loss: 2.435351 eta: 1 day, 0:34:51 batch_cost: 0.8299 data_cost: 0.0915 ips: 77.1131 images/s
[03/18 18:56:26] ppdet.engine INFO: Epoch: [70] [340/458] learning_rate: 0.278633 loss_vfl: 1.310153 loss_bbox: 0.658783 loss_dfl: 0.488845 loss: 2.453602 eta: 1 day, 0:34:45 batch_cost: 1.0125 data_cost: 0.3378 ips: 63.2084 images/s
[03/18 18:56:45] ppdet.engine INFO: Epoch: [70] [360/458] learning_rate: 0.278584 loss_vfl: 1.343968 loss_bbox: 0.644351 loss_dfl: 0.491679 loss: 2.510849 eta: 1 day, 0:34:26 batch_cost: 0.8120 data_cost: 0.3351 ips: 78.8161 images/s
[03/18 18:57:03] ppdet.engine INFO: Epoch: [70] [380/458] learning_rate: 0.278534 loss_vfl: 1.257764 loss_bbox: 0.620335 loss_dfl: 0.458743 loss: 2.318408 eta: 1 day, 0:34:05 batch_cost: 0.7835 data_cost: 0.2056 ips: 81.6820 images/s
[03/18 18:57:27] ppdet.engine INFO: Epoch: [70] [400/458] learning_rate: 0.278485 loss_vfl: 1.331562 loss_bbox: 0.661224 loss_dfl: 0.503060 loss: 2.508824 eta: 1 day, 0:34:04 batch_cost: 1.0874 data_cost: 0.2060 ips: 58.8562 images/s
[03/18 18:57:45] ppdet.engine INFO: Epoch: [70] [420/458] learning_rate: 0.278436 loss_vfl: 1.245563 loss_bbox: 0.627037 loss_dfl: 0.464642 loss: 2.337636 eta: 1 day, 0:33:41 batch_cost: 0.7448 data_cost: 0.0039 ips: 85.9325 images/s
[03/18 18:58:02] ppdet.engine INFO: Epoch: [70] [440/458] learning_rate: 0.278387 loss_vfl: 1.292855 loss_bbox: 0.672932 loss_dfl: 0.488467 loss: 2.458349 eta: 1 day, 0:33:17 batch_cost: 0.7354 data_cost: 0.0529 ips: 87.0303 images/s
[03/18 18:58:24] ppdet.engine INFO: Epoch: [71] [  0/458] learning_rate: 0.278342 loss_vfl: 1.352801 loss_bbox: 0.662218 loss_dfl: 0.500639 loss: 2.550639 eta: 1 day, 0:33:16 batch_cost: 1.0267 data_cost: 0.4009 ips: 62.3381 images/s
[03/18 18:58:41] ppdet.engine INFO: Epoch: [71] [ 20/458] learning_rate: 0.278293 loss_vfl: 1.267932 loss_bbox: 0.619534 loss_dfl: 0.483666 loss: 2.391048 eta: 1 day, 0:32:50 batch_cost: 0.6957 data_cost: 0.0024 ips: 91.9933 images/s
[03/18 18:58:57] ppdet.engine INFO: Epoch: [71] [ 40/458] learning_rate: 0.278243 loss_vfl: 1.292335 loss_bbox: 0.674718 loss_dfl: 0.481919 loss: 2.459841 eta: 1 day, 0:32:23 batch_cost: 0.6964 data_cost: 0.0050 ips: 91.9010 images/s
[03/18 18:59:12] ppdet.engine INFO: Epoch: [71] [ 60/458] learning_rate: 0.278194 loss_vfl: 1.255667 loss_bbox: 0.610280 loss_dfl: 0.468902 loss: 2.320966 eta: 1 day, 0:31:55 batch_cost: 0.6677 data_cost: 0.0026 ips: 95.8514 images/s
[03/18 18:59:31] ppdet.engine INFO: Epoch: [71] [ 80/458] learning_rate: 0.278145 loss_vfl: 1.250713 loss_bbox: 0.593901 loss_dfl: 0.449189 loss: 2.273158 eta: 1 day, 0:31:37 batch_cost: 0.8295 data_cost: 0.0008 ips: 77.1575 images/s
[03/18 18:59:50] ppdet.engine INFO: Epoch: [71] [100/458] learning_rate: 0.278095 loss_vfl: 1.236917 loss_bbox: 0.603497 loss_dfl: 0.458375 loss: 2.315616 eta: 1 day, 0:31:18 batch_cost: 0.8088 data_cost: 0.0026 ips: 79.1344 images/s
[03/18 19:00:12] ppdet.engine INFO: Epoch: [71] [120/458] learning_rate: 0.278046 loss_vfl: 1.338153 loss_bbox: 0.684642 loss_dfl: 0.500231 loss: 2.514681 eta: 1 day, 0:31:12 batch_cost: 1.0002 data_cost: 0.0008 ips: 63.9863 images/s
[03/18 19:00:29] ppdet.engine INFO: Epoch: [71] [140/458] learning_rate: 0.277996 loss_vfl: 1.264658 loss_bbox: 0.604424 loss_dfl: 0.453370 loss: 2.321120 eta: 1 day, 0:30:48 batch_cost: 0.7380 data_cost: 0.0014 ips: 86.7249 images/s
[03/18 19:00:47] ppdet.engine INFO: Epoch: [71] [160/458] learning_rate: 0.277947 loss_vfl: 1.315507 loss_bbox: 0.614178 loss_dfl: 0.477941 loss: 2.398675 eta: 1 day, 0:30:29 batch_cost: 0.8112 data_cost: 0.0044 ips: 78.8993 images/s
[03/18 19:01:07] ppdet.engine INFO: Epoch: [71] [180/458] learning_rate: 0.277897 loss_vfl: 1.249668 loss_bbox: 0.602913 loss_dfl: 0.449666 loss: 2.308562 eta: 1 day, 0:30:15 batch_cost: 0.8899 data_cost: 0.0052 ips: 71.9170 images/s
[03/18 19:01:25] ppdet.engine INFO: Epoch: [71] [200/458] learning_rate: 0.277847 loss_vfl: 1.308823 loss_bbox: 0.642505 loss_dfl: 0.483884 loss: 2.432877 eta: 1 day, 0:29:56 batch_cost: 0.8086 data_cost: 0.0036 ips: 79.1456 images/s
[03/18 19:01:45] ppdet.engine INFO: Epoch: [71] [220/458] learning_rate: 0.277798 loss_vfl: 1.312276 loss_bbox: 0.664118 loss_dfl: 0.482751 loss: 2.419548 eta: 1 day, 0:29:41 batch_cost: 0.8688 data_cost: 0.0032 ips: 73.6666 images/s
[03/18 19:02:05] ppdet.engine INFO: Epoch: [71] [240/458] learning_rate: 0.277748 loss_vfl: 1.305535 loss_bbox: 0.659655 loss_dfl: 0.474743 loss: 2.396701 eta: 1 day, 0:29:31 batch_cost: 0.9467 data_cost: 0.0036 ips: 67.6051 images/s
[03/18 19:02:28] ppdet.engine INFO: Epoch: [71] [260/458] learning_rate: 0.277699 loss_vfl: 1.242258 loss_bbox: 0.604812 loss_dfl: 0.456579 loss: 2.304360 eta: 1 day, 0:29:25 batch_cost: 1.0054 data_cost: 0.0027 ips: 63.6540 images/s
[03/18 19:02:46] ppdet.engine INFO: Epoch: [71] [280/458] learning_rate: 0.277649 loss_vfl: 1.311901 loss_bbox: 0.635534 loss_dfl: 0.467547 loss: 2.401304 eta: 1 day, 0:29:09 batch_cost: 0.8604 data_cost: 0.0016 ips: 74.3850 images/s
[03/18 19:03:06] ppdet.engine INFO: Epoch: [71] [300/458] learning_rate: 0.277599 loss_vfl: 1.305624 loss_bbox: 0.655963 loss_dfl: 0.492784 loss: 2.517938 eta: 1 day, 0:28:53 batch_cost: 0.8535 data_cost: 0.0029 ips: 74.9871 images/s
[03/18 19:03:26] ppdet.engine INFO: Epoch: [71] [320/458] learning_rate: 0.277549 loss_vfl: 1.250274 loss_bbox: 0.631001 loss_dfl: 0.461650 loss: 2.341350 eta: 1 day, 0:28:43 batch_cost: 0.9557 data_cost: 0.0012 ips: 66.9683 images/s
[03/18 19:03:47] ppdet.engine INFO: Epoch: [71] [340/458] learning_rate: 0.277500 loss_vfl: 1.288757 loss_bbox: 0.681795 loss_dfl: 0.488258 loss: 2.425794 eta: 1 day, 0:28:33 batch_cost: 0.9417 data_cost: 0.0005 ips: 67.9602 images/s
[03/18 19:04:04] ppdet.engine INFO: Epoch: [71] [360/458] learning_rate: 0.277450 loss_vfl: 1.254932 loss_bbox: 0.630775 loss_dfl: 0.462543 loss: 2.332139 eta: 1 day, 0:28:09 batch_cost: 0.7322 data_cost: 0.0024 ips: 87.4053 images/s
[03/18 19:04:24] ppdet.engine INFO: Epoch: [71] [380/458] learning_rate: 0.277400 loss_vfl: 1.321979 loss_bbox: 0.637101 loss_dfl: 0.475389 loss: 2.469818 eta: 1 day, 0:27:54 batch_cost: 0.8721 data_cost: 0.0071 ips: 73.3830 images/s
[03/18 19:04:44] ppdet.engine INFO: Epoch: [71] [400/458] learning_rate: 0.277350 loss_vfl: 1.278596 loss_bbox: 0.611285 loss_dfl: 0.465627 loss: 2.399351 eta: 1 day, 0:27:42 batch_cost: 0.9255 data_cost: 0.0018 ips: 69.1515 images/s
[03/18 19:05:04] ppdet.engine INFO: Epoch: [71] [420/458] learning_rate: 0.277300 loss_vfl: 1.390581 loss_bbox: 0.683246 loss_dfl: 0.510706 loss: 2.576738 eta: 1 day, 0:27:30 batch_cost: 0.9163 data_cost: 0.0065 ips: 69.8453 images/s
[03/18 19:05:24] ppdet.engine INFO: Epoch: [71] [440/458] learning_rate: 0.277251 loss_vfl: 1.322355 loss_bbox: 0.668866 loss_dfl: 0.494405 loss: 2.512242 eta: 1 day, 0:27:19 batch_cost: 0.9421 data_cost: 0.0057 ips: 67.9299 images/s
[03/18 19:05:44] ppdet.engine INFO: Epoch: [72] [  0/458] learning_rate: 0.277206 loss_vfl: 1.311665 loss_bbox: 0.633417 loss_dfl: 0.472069 loss: 2.402765 eta: 1 day, 0:27:11 batch_cost: 0.9532 data_cost: 0.2539 ips: 67.1438 images/s
[03/18 19:06:01] ppdet.engine INFO: Epoch: [72] [ 20/458] learning_rate: 0.277156 loss_vfl: 1.275197 loss_bbox: 0.648502 loss_dfl: 0.477713 loss: 2.363560 eta: 1 day, 0:26:50 batch_cost: 0.7729 data_cost: 0.0006 ips: 82.8017 images/s
[03/18 19:06:16] ppdet.engine INFO: Epoch: [72] [ 40/458] learning_rate: 0.277106 loss_vfl: 1.302695 loss_bbox: 0.627227 loss_dfl: 0.475404 loss: 2.424946 eta: 1 day, 0:26:23 batch_cost: 0.6873 data_cost: 0.0028 ips: 93.1238 images/s
[03/18 19:06:31] ppdet.engine INFO: Epoch: [72] [ 60/458] learning_rate: 0.277056 loss_vfl: 1.319815 loss_bbox: 0.641051 loss_dfl: 0.488659 loss: 2.453021 eta: 1 day, 0:25:54 batch_cost: 0.6410 data_cost: 0.0014 ips: 99.8518 images/s
[03/18 19:06:52] ppdet.engine INFO: Epoch: [72] [ 80/458] learning_rate: 0.277006 loss_vfl: 1.274504 loss_bbox: 0.645985 loss_dfl: 0.483301 loss: 2.426622 eta: 1 day, 0:25:48 batch_cost: 1.0181 data_cost: 0.0033 ips: 62.8615 images/s
[03/18 19:07:12] ppdet.engine INFO: Epoch: [72] [100/458] learning_rate: 0.276956 loss_vfl: 1.281670 loss_bbox: 0.671752 loss_dfl: 0.487040 loss: 2.438483 eta: 1 day, 0:25:35 batch_cost: 0.9063 data_cost: 0.0012 ips: 70.6173 images/s
[03/18 19:07:31] ppdet.engine INFO: Epoch: [72] [120/458] learning_rate: 0.276906 loss_vfl: 1.338238 loss_bbox: 0.672494 loss_dfl: 0.494543 loss: 2.512418 eta: 1 day, 0:25:18 batch_cost: 0.8499 data_cost: 0.0007 ips: 75.3030 images/s
[03/18 19:07:51] ppdet.engine INFO: Epoch: [72] [140/458] learning_rate: 0.276856 loss_vfl: 1.228442 loss_bbox: 0.631588 loss_dfl: 0.466884 loss: 2.325130 eta: 1 day, 0:25:08 batch_cost: 0.9363 data_cost: 0.0010 ips: 68.3529 images/s
[03/18 19:08:09] ppdet.engine INFO: Epoch: [72] [160/458] learning_rate: 0.276806 loss_vfl: 1.306518 loss_bbox: 0.646885 loss_dfl: 0.479420 loss: 2.446382 eta: 1 day, 0:24:48 batch_cost: 0.7997 data_cost: 0.0008 ips: 80.0345 images/s
[03/18 19:08:29] ppdet.engine INFO: Epoch: [72] [180/458] learning_rate: 0.276755 loss_vfl: 1.240221 loss_bbox: 0.626250 loss_dfl: 0.459434 loss: 2.337317 eta: 1 day, 0:24:35 batch_cost: 0.9029 data_cost: 0.0010 ips: 70.8828 images/s
[03/18 19:08:50] ppdet.engine INFO: Epoch: [72] [200/458] learning_rate: 0.276705 loss_vfl: 1.306813 loss_bbox: 0.660159 loss_dfl: 0.490077 loss: 2.457814 eta: 1 day, 0:24:25 batch_cost: 0.9490 data_cost: 0.0044 ips: 67.4382 images/s
[03/18 19:09:09] ppdet.engine INFO: Epoch: [72] [220/458] learning_rate: 0.276655 loss_vfl: 1.229440 loss_bbox: 0.640165 loss_dfl: 0.461650 loss: 2.297601 eta: 1 day, 0:24:09 batch_cost: 0.8684 data_cost: 0.0025 ips: 73.6957 images/s
[03/18 19:09:30] ppdet.engine INFO: Epoch: [72] [240/458] learning_rate: 0.276605 loss_vfl: 1.296055 loss_bbox: 0.630802 loss_dfl: 0.472238 loss: 2.389024 eta: 1 day, 0:24:00 batch_cost: 0.9578 data_cost: 0.0038 ips: 66.8226 images/s
[03/18 19:09:51] ppdet.engine INFO: Epoch: [72] [260/458] learning_rate: 0.276555 loss_vfl: 1.293154 loss_bbox: 0.644189 loss_dfl: 0.472725 loss: 2.404648 eta: 1 day, 0:23:52 batch_cost: 0.9942 data_cost: 0.0019 ips: 64.3714 images/s
[03/18 19:10:10] ppdet.engine INFO: Epoch: [72] [280/458] learning_rate: 0.276504 loss_vfl: 1.270085 loss_bbox: 0.640167 loss_dfl: 0.478226 loss: 2.402408 eta: 1 day, 0:23:34 batch_cost: 0.8190 data_cost: 0.0009 ips: 78.1481 images/s
[03/18 19:10:29] ppdet.engine INFO: Epoch: [72] [300/458] learning_rate: 0.276454 loss_vfl: 1.303242 loss_bbox: 0.620615 loss_dfl: 0.463469 loss: 2.403171 eta: 1 day, 0:23:18 batch_cost: 0.8593 data_cost: 0.0016 ips: 74.4835 images/s
[03/18 19:10:48] ppdet.engine INFO: Epoch: [72] [320/458] learning_rate: 0.276404 loss_vfl: 1.318567 loss_bbox: 0.661937 loss_dfl: 0.491842 loss: 2.459488 eta: 1 day, 0:23:03 batch_cost: 0.8744 data_cost: 0.0004 ips: 73.1953 images/s
[03/18 19:11:08] ppdet.engine INFO: Epoch: [72] [340/458] learning_rate: 0.276354 loss_vfl: 1.313653 loss_bbox: 0.678923 loss_dfl: 0.499376 loss: 2.452085 eta: 1 day, 0:22:49 batch_cost: 0.8884 data_cost: 0.0014 ips: 72.0427 images/s
[03/18 19:11:27] ppdet.engine INFO: Epoch: [72] [360/458] learning_rate: 0.276303 loss_vfl: 1.268486 loss_bbox: 0.641779 loss_dfl: 0.479047 loss: 2.352951 eta: 1 day, 0:22:34 batch_cost: 0.8663 data_cost: 0.0036 ips: 73.8794 images/s
[03/18 19:11:47] ppdet.engine INFO: Epoch: [72] [380/458] learning_rate: 0.276253 loss_vfl: 1.266489 loss_bbox: 0.633564 loss_dfl: 0.466402 loss: 2.381891 eta: 1 day, 0:22:21 batch_cost: 0.9100 data_cost: 0.0022 ips: 70.3322 images/s
[03/18 19:12:08] ppdet.engine INFO: Epoch: [72] [400/458] learning_rate: 0.276202 loss_vfl: 1.332415 loss_bbox: 0.669576 loss_dfl: 0.496223 loss: 2.508175 eta: 1 day, 0:22:12 batch_cost: 0.9666 data_cost: 0.0025 ips: 66.2133 images/s
[03/18 19:12:29] ppdet.engine INFO: Epoch: [72] [420/458] learning_rate: 0.276152 loss_vfl: 1.307472 loss_bbox: 0.651164 loss_dfl: 0.486448 loss: 2.460915 eta: 1 day, 0:22:04 batch_cost: 0.9865 data_cost: 0.0014 ips: 64.8756 images/s
[03/18 19:12:47] ppdet.engine INFO: Epoch: [72] [440/458] learning_rate: 0.276102 loss_vfl: 1.312725 loss_bbox: 0.664328 loss_dfl: 0.491919 loss: 2.471189 eta: 1 day, 0:21:44 batch_cost: 0.8037 data_cost: 0.0013 ips: 79.6315 images/s
[03/18 19:13:08] ppdet.engine INFO: Epoch: [73] [  0/458] learning_rate: 0.276056 loss_vfl: 1.295007 loss_bbox: 0.625626 loss_dfl: 0.470473 loss: 2.399503 eta: 1 day, 0:21:40 batch_cost: 1.0203 data_cost: 0.3268 ips: 62.7250 images/s
[03/18 19:13:25] ppdet.engine INFO: Epoch: [73] [ 20/458] learning_rate: 0.276006 loss_vfl: 1.303635 loss_bbox: 0.669339 loss_dfl: 0.499923 loss: 2.490738 eta: 1 day, 0:21:15 batch_cost: 0.6999 data_cost: 0.0067 ips: 91.4378 images/s
[03/18 19:13:43] ppdet.engine INFO: Epoch: [73] [ 40/458] learning_rate: 0.275955 loss_vfl: 1.312233 loss_bbox: 0.650311 loss_dfl: 0.486430 loss: 2.437098 eta: 1 day, 0:20:57 batch_cost: 0.8315 data_cost: 0.0042 ips: 76.9651 images/s
[03/18 19:13:58] ppdet.engine INFO: Epoch: [73] [ 60/458] learning_rate: 0.275905 loss_vfl: 1.256111 loss_bbox: 0.658780 loss_dfl: 0.481788 loss: 2.396742 eta: 1 day, 0:20:28 batch_cost: 0.6565 data_cost: 0.0051 ips: 97.4901 images/s
[03/18 19:14:20] ppdet.engine INFO: Epoch: [73] [ 80/458] learning_rate: 0.275854 loss_vfl: 1.244134 loss_bbox: 0.640450 loss_dfl: 0.476576 loss: 2.362904 eta: 1 day, 0:20:13 batch_cost: 0.8673 data_cost: 0.0011 ips: 73.7893 images/s
[03/18 19:14:41] ppdet.engine INFO: Epoch: [73] [100/458] learning_rate: 0.275803 loss_vfl: 1.250784 loss_bbox: 0.653048 loss_dfl: 0.483013 loss: 2.391051 eta: 1 day, 0:20:01 batch_cost: 0.9235 data_cost: 0.0205 ips: 69.3021 images/s
[03/18 19:14:59] ppdet.engine INFO: Epoch: [73] [120/458] learning_rate: 0.275753 loss_vfl: 1.351223 loss_bbox: 0.653042 loss_dfl: 0.502075 loss: 2.521201 eta: 1 day, 0:19:39 batch_cost: 0.7606 data_cost: 0.0033 ips: 84.1394 images/s
[03/18 19:15:19] ppdet.engine INFO: Epoch: [73] [140/458] learning_rate: 0.275702 loss_vfl: 1.320927 loss_bbox: 0.673348 loss_dfl: 0.499222 loss: 2.497626 eta: 1 day, 0:19:26 batch_cost: 0.8980 data_cost: 0.0897 ips: 71.2734 images/s
[03/18 19:15:37] ppdet.engine INFO: Epoch: [73] [160/458] learning_rate: 0.275652 loss_vfl: 1.222731 loss_bbox: 0.623092 loss_dfl: 0.463604 loss: 2.300724 eta: 1 day, 0:19:04 batch_cost: 0.7716 data_cost: 0.0548 ips: 82.9453 images/s
[03/18 19:15:59] ppdet.engine INFO: Epoch: [73] [180/458] learning_rate: 0.275601 loss_vfl: 1.325210 loss_bbox: 0.685786 loss_dfl: 0.500426 loss: 2.525450 eta: 1 day, 0:18:58 batch_cost: 1.0120 data_cost: 0.4163 ips: 63.2415 images/s
[03/18 19:16:17] ppdet.engine INFO: Epoch: [73] [200/458] learning_rate: 0.275550 loss_vfl: 1.281160 loss_bbox: 0.623012 loss_dfl: 0.471437 loss: 2.399348 eta: 1 day, 0:18:40 batch_cost: 0.8189 data_cost: 0.1817 ips: 78.1584 images/s
[03/18 19:16:37] ppdet.engine INFO: Epoch: [73] [220/458] learning_rate: 0.275499 loss_vfl: 1.289601 loss_bbox: 0.639618 loss_dfl: 0.478947 loss: 2.409448 eta: 1 day, 0:18:23 batch_cost: 0.8492 data_cost: 0.2558 ips: 75.3622 images/s
[03/18 19:16:56] ppdet.engine INFO: Epoch: [73] [240/458] learning_rate: 0.275449 loss_vfl: 1.223210 loss_bbox: 0.604188 loss_dfl: 0.456212 loss: 2.315214 eta: 1 day, 0:18:03 batch_cost: 0.7997 data_cost: 0.1448 ips: 80.0315 images/s
[03/18 19:17:15] ppdet.engine INFO: Epoch: [73] [260/458] learning_rate: 0.275398 loss_vfl: 1.278789 loss_bbox: 0.658724 loss_dfl: 0.488160 loss: 2.417720 eta: 1 day, 0:17:47 batch_cost: 0.8553 data_cost: 0.0752 ips: 74.8290 images/s
[03/18 19:17:35] ppdet.engine INFO: Epoch: [73] [280/458] learning_rate: 0.275347 loss_vfl: 1.216319 loss_bbox: 0.601107 loss_dfl: 0.452846 loss: 2.251018 eta: 1 day, 0:17:30 batch_cost: 0.8367 data_cost: 0.2110 ips: 76.4888 images/s
[03/18 19:17:55] ppdet.engine INFO: Epoch: [73] [300/458] learning_rate: 0.275296 loss_vfl: 1.352612 loss_bbox: 0.672752 loss_dfl: 0.504128 loss: 2.528505 eta: 1 day, 0:17:18 batch_cost: 0.9290 data_cost: 0.2644 ips: 68.8887 images/s
[03/18 19:18:13] ppdet.engine INFO: Epoch: [73] [320/458] learning_rate: 0.275245 loss_vfl: 1.350535 loss_bbox: 0.656101 loss_dfl: 0.494385 loss: 2.522053 eta: 1 day, 0:16:56 batch_cost: 0.7603 data_cost: 0.2572 ips: 84.1793 images/s
[03/18 19:18:33] ppdet.engine INFO: Epoch: [73] [340/458] learning_rate: 0.275194 loss_vfl: 1.304490 loss_bbox: 0.678147 loss_dfl: 0.489931 loss: 2.485757 eta: 1 day, 0:16:41 batch_cost: 0.8643 data_cost: 0.1393 ips: 74.0456 images/s
[03/18 19:18:52] ppdet.engine INFO: Epoch: [73] [360/458] learning_rate: 0.275144 loss_vfl: 1.267904 loss_bbox: 0.663900 loss_dfl: 0.482249 loss: 2.426156 eta: 1 day, 0:16:22 batch_cost: 0.8178 data_cost: 0.0132 ips: 78.2570 images/s
[03/18 19:19:12] ppdet.engine INFO: Epoch: [73] [380/458] learning_rate: 0.275093 loss_vfl: 1.364954 loss_bbox: 0.699276 loss_dfl: 0.519736 loss: 2.620653 eta: 1 day, 0:16:07 batch_cost: 0.8710 data_cost: 0.0606 ips: 73.4823 images/s
[03/18 19:19:35] ppdet.engine INFO: Epoch: [73] [400/458] learning_rate: 0.275042 loss_vfl: 1.309872 loss_bbox: 0.620415 loss_dfl: 0.461346 loss: 2.372543 eta: 1 day, 0:15:59 batch_cost: 0.9868 data_cost: 0.0011 ips: 64.8533 images/s
[03/18 19:19:55] ppdet.engine INFO: Epoch: [73] [420/458] learning_rate: 0.274991 loss_vfl: 1.273163 loss_bbox: 0.600892 loss_dfl: 0.452753 loss: 2.303986 eta: 1 day, 0:15:45 batch_cost: 0.8831 data_cost: 0.0025 ips: 72.4755 images/s
[03/18 19:20:11] ppdet.engine INFO: Epoch: [73] [440/458] learning_rate: 0.274940 loss_vfl: 1.279150 loss_bbox: 0.627573 loss_dfl: 0.476367 loss: 2.367580 eta: 1 day, 0:15:20 batch_cost: 0.7074 data_cost: 0.0016 ips: 90.4725 images/s
[03/18 19:20:34] ppdet.engine INFO: Epoch: [74] [  0/458] learning_rate: 0.274894 loss_vfl: 1.277823 loss_bbox: 0.635647 loss_dfl: 0.467762 loss: 2.373999 eta: 1 day, 0:15:20 batch_cost: 1.0715 data_cost: 0.2484 ips: 59.7317 images/s
[03/18 19:20:49] ppdet.engine INFO: Epoch: [74] [ 20/458] learning_rate: 0.274843 loss_vfl: 1.298506 loss_bbox: 0.659805 loss_dfl: 0.482287 loss: 2.430864 eta: 1 day, 0:14:53 batch_cost: 0.6717 data_cost: 0.0065 ips: 95.2849 images/s
[03/18 19:21:07] ppdet.engine INFO: Epoch: [74] [ 40/458] learning_rate: 0.274792 loss_vfl: 1.328839 loss_bbox: 0.662740 loss_dfl: 0.504493 loss: 2.518084 eta: 1 day, 0:14:31 batch_cost: 0.7660 data_cost: 0.0038 ips: 83.5537 images/s
[03/18 19:21:26] ppdet.engine INFO: Epoch: [74] [ 60/458] learning_rate: 0.274741 loss_vfl: 1.254138 loss_bbox: 0.628640 loss_dfl: 0.466720 loss: 2.353743 eta: 1 day, 0:14:14 batch_cost: 0.8423 data_cost: 0.0051 ips: 75.9814 images/s
[03/18 19:21:44] ppdet.engine INFO: Epoch: [74] [ 80/458] learning_rate: 0.274690 loss_vfl: 1.271333 loss_bbox: 0.623695 loss_dfl: 0.463984 loss: 2.343325 eta: 1 day, 0:13:51 batch_cost: 0.7478 data_cost: 0.0056 ips: 85.5849 images/s
[03/18 19:22:08] ppdet.engine INFO: Epoch: [74] [100/458] learning_rate: 0.274638 loss_vfl: 1.238692 loss_bbox: 0.615386 loss_dfl: 0.455361 loss: 2.305511 eta: 1 day, 0:13:47 batch_cost: 1.0406 data_cost: 0.4067 ips: 61.5034 images/s
[03/18 19:22:28] ppdet.engine INFO: Epoch: [74] [120/458] learning_rate: 0.274587 loss_vfl: 1.299508 loss_bbox: 0.651573 loss_dfl: 0.484942 loss: 2.425036 eta: 1 day, 0:13:28 batch_cost: 0.8203 data_cost: 0.3974 ips: 78.0178 images/s
[03/18 19:22:47] ppdet.engine INFO: Epoch: [74] [140/458] learning_rate: 0.274536 loss_vfl: 1.248892 loss_bbox: 0.623985 loss_dfl: 0.467788 loss: 2.326007 eta: 1 day, 0:13:08 batch_cost: 0.7904 data_cost: 0.3395 ips: 80.9688 images/s
[03/18 19:23:07] ppdet.engine INFO: Epoch: [74] [160/458] learning_rate: 0.274485 loss_vfl: 1.238690 loss_bbox: 0.638657 loss_dfl: 0.467635 loss: 2.315953 eta: 1 day, 0:12:57 batch_cost: 0.9367 data_cost: 0.4645 ips: 68.3220 images/s
[03/18 19:23:28] ppdet.engine INFO: Epoch: [74] [180/458] learning_rate: 0.274434 loss_vfl: 1.250154 loss_bbox: 0.584998 loss_dfl: 0.444576 loss: 2.290211 eta: 1 day, 0:12:40 batch_cost: 0.8480 data_cost: 0.2241 ips: 75.4683 images/s
[03/18 19:23:49] ppdet.engine INFO: Epoch: [74] [200/458] learning_rate: 0.274382 loss_vfl: 1.335220 loss_bbox: 0.633721 loss_dfl: 0.495420 loss: 2.486483 eta: 1 day, 0:12:25 batch_cost: 0.8656 data_cost: 0.0071 ips: 73.9401 images/s
[03/18 19:24:11] ppdet.engine INFO: Epoch: [74] [220/458] learning_rate: 0.274331 loss_vfl: 1.347757 loss_bbox: 0.659800 loss_dfl: 0.489112 loss: 2.472257 eta: 1 day, 0:12:14 batch_cost: 0.9412 data_cost: 0.0038 ips: 68.0000 images/s
[03/18 19:24:34] ppdet.engine INFO: Epoch: [74] [240/458] learning_rate: 0.274280 loss_vfl: 1.292018 loss_bbox: 0.640791 loss_dfl: 0.478299 loss: 2.427754 eta: 1 day, 0:12:06 batch_cost: 0.9936 data_cost: 0.0046 ips: 64.4135 images/s
[03/18 19:24:52] ppdet.engine INFO: Epoch: [74] [260/458] learning_rate: 0.274228 loss_vfl: 1.335284 loss_bbox: 0.671315 loss_dfl: 0.494721 loss: 2.483670 eta: 1 day, 0:11:45 batch_cost: 0.7775 data_cost: 0.0012 ips: 82.3179 images/s
[03/18 19:25:12] ppdet.engine INFO: Epoch: [74] [280/458] learning_rate: 0.274177 loss_vfl: 1.260037 loss_bbox: 0.637157 loss_dfl: 0.465410 loss: 2.358145 eta: 1 day, 0:11:32 batch_cost: 0.8992 data_cost: 0.0032 ips: 71.1730 images/s
[03/18 19:25:35] ppdet.engine INFO: Epoch: [74] [300/458] learning_rate: 0.274126 loss_vfl: 1.253349 loss_bbox: 0.645108 loss_dfl: 0.489145 loss: 2.395217 eta: 1 day, 0:11:27 batch_cost: 1.0379 data_cost: 0.0337 ips: 61.6600 images/s
[03/18 19:25:55] ppdet.engine INFO: Epoch: [74] [320/458] learning_rate: 0.274074 loss_vfl: 1.375215 loss_bbox: 0.658860 loss_dfl: 0.501099 loss: 2.548332 eta: 1 day, 0:11:10 batch_cost: 0.8560 data_cost: 0.1155 ips: 74.7673 images/s
[03/18 19:26:18] ppdet.engine INFO: Epoch: [74] [340/458] learning_rate: 0.274023 loss_vfl: 1.329174 loss_bbox: 0.649399 loss_dfl: 0.485777 loss: 2.436929 eta: 1 day, 0:11:07 batch_cost: 1.0749 data_cost: 0.4756 ips: 59.5391 images/s
[03/18 19:26:38] ppdet.engine INFO: Epoch: [74] [360/458] learning_rate: 0.273971 loss_vfl: 1.315213 loss_bbox: 0.626474 loss_dfl: 0.467898 loss: 2.398880 eta: 1 day, 0:10:50 batch_cost: 0.8301 data_cost: 0.2694 ips: 77.1013 images/s
[03/18 19:27:00] ppdet.engine INFO: Epoch: [74] [380/458] learning_rate: 0.273920 loss_vfl: 1.317888 loss_bbox: 0.658826 loss_dfl: 0.482821 loss: 2.495007 eta: 1 day, 0:10:37 batch_cost: 0.9196 data_cost: 0.3293 ips: 69.5934 images/s
[03/18 19:27:19] ppdet.engine INFO: Epoch: [74] [400/458] learning_rate: 0.273868 loss_vfl: 1.336418 loss_bbox: 0.666325 loss_dfl: 0.481984 loss: 2.445559 eta: 1 day, 0:10:18 batch_cost: 0.8019 data_cost: 0.2428 ips: 79.8076 images/s
[03/18 19:27:38] ppdet.engine INFO: Epoch: [74] [420/458] learning_rate: 0.273817 loss_vfl: 1.259367 loss_bbox: 0.630809 loss_dfl: 0.472739 loss: 2.376147 eta: 1 day, 0:10:00 batch_cost: 0.8205 data_cost: 0.3528 ips: 78.0018 images/s
[03/18 19:27:54] ppdet.engine INFO: Epoch: [74] [440/458] learning_rate: 0.273765 loss_vfl: 1.359909 loss_bbox: 0.697487 loss_dfl: 0.516978 loss: 2.567607 eta: 1 day, 0:09:33 batch_cost: 0.6876 data_cost: 0.1766 ips: 93.0723 images/s
[03/18 19:28:16] ppdet.engine INFO: Epoch: [75] [  0/458] learning_rate: 0.273719 loss_vfl: 1.299256 loss_bbox: 0.640488 loss_dfl: 0.475929 loss: 2.400414 eta: 1 day, 0:09:30 batch_cost: 0.9966 data_cost: 0.5587 ips: 64.2163 images/s
[03/18 19:28:35] ppdet.engine INFO: Epoch: [75] [ 20/458] learning_rate: 0.273667 loss_vfl: 1.339694 loss_bbox: 0.670536 loss_dfl: 0.503387 loss: 2.517789 eta: 1 day, 0:09:13 batch_cost: 0.8315 data_cost: 0.1471 ips: 76.9683 images/s
[03/18 19:28:56] ppdet.engine INFO: Epoch: [75] [ 40/458] learning_rate: 0.273616 loss_vfl: 1.305417 loss_bbox: 0.653668 loss_dfl: 0.490864 loss: 2.463621 eta: 1 day, 0:08:59 batch_cost: 0.8912 data_cost: 0.4106 ips: 71.8131 images/s
[03/18 19:29:16] ppdet.engine INFO: Epoch: [75] [ 60/458] learning_rate: 0.273564 loss_vfl: 1.371174 loss_bbox: 0.677157 loss_dfl: 0.505962 loss: 2.546805 eta: 1 day, 0:08:42 batch_cost: 0.8463 data_cost: 0.3687 ips: 75.6245 images/s
[03/18 19:29:37] ppdet.engine INFO: Epoch: [75] [ 80/458] learning_rate: 0.273512 loss_vfl: 1.325542 loss_bbox: 0.678081 loss_dfl: 0.504552 loss: 2.522534 eta: 1 day, 0:08:31 batch_cost: 0.9359 data_cost: 0.4834 ips: 68.3838 images/s
[03/18 19:29:56] ppdet.engine INFO: Epoch: [75] [100/458] learning_rate: 0.273461 loss_vfl: 1.253652 loss_bbox: 0.626473 loss_dfl: 0.471124 loss: 2.347643 eta: 1 day, 0:08:14 batch_cost: 0.8421 data_cost: 0.3309 ips: 75.9981 images/s
[03/18 19:30:17] ppdet.engine INFO: Epoch: [75] [120/458] learning_rate: 0.273409 loss_vfl: 1.330071 loss_bbox: 0.670684 loss_dfl: 0.497003 loss: 2.516199 eta: 1 day, 0:08:00 batch_cost: 0.9029 data_cost: 0.3994 ips: 70.8799 images/s
[03/18 19:30:37] ppdet.engine INFO: Epoch: [75] [140/458] learning_rate: 0.273357 loss_vfl: 1.271271 loss_bbox: 0.650773 loss_dfl: 0.472983 loss: 2.411082 eta: 1 day, 0:07:47 batch_cost: 0.9113 data_cost: 0.3461 ips: 70.2279 images/s
[03/18 19:30:57] ppdet.engine INFO: Epoch: [75] [160/458] learning_rate: 0.273305 loss_vfl: 1.274406 loss_bbox: 0.673655 loss_dfl: 0.490598 loss: 2.483595 eta: 1 day, 0:07:30 batch_cost: 0.8306 data_cost: 0.2726 ips: 77.0547 images/s
[03/18 19:31:18] ppdet.engine INFO: Epoch: [75] [180/458] learning_rate: 0.273254 loss_vfl: 1.316487 loss_bbox: 0.678696 loss_dfl: 0.503367 loss: 2.519742 eta: 1 day, 0:07:16 batch_cost: 0.9015 data_cost: 0.0631 ips: 70.9942 images/s
[03/18 19:31:41] ppdet.engine INFO: Epoch: [75] [200/458] learning_rate: 0.273202 loss_vfl: 1.250675 loss_bbox: 0.592703 loss_dfl: 0.463665 loss: 2.314246 eta: 1 day, 0:07:13 batch_cost: 1.0684 data_cost: 0.0059 ips: 59.9014 images/s
[03/18 19:31:58] ppdet.engine INFO: Epoch: [75] [220/458] learning_rate: 0.273150 loss_vfl: 1.339684 loss_bbox: 0.669413 loss_dfl: 0.501802 loss: 2.511959 eta: 1 day, 0:06:48 batch_cost: 0.7107 data_cost: 0.0017 ips: 90.0518 images/s
[03/18 19:32:18] ppdet.engine INFO: Epoch: [75] [240/458] learning_rate: 0.273098 loss_vfl: 1.334306 loss_bbox: 0.661530 loss_dfl: 0.498965 loss: 2.499384 eta: 1 day, 0:06:33 batch_cost: 0.8835 data_cost: 0.0509 ips: 72.4400 images/s
[03/18 19:32:38] ppdet.engine INFO: Epoch: [75] [260/458] learning_rate: 0.273046 loss_vfl: 1.327752 loss_bbox: 0.662100 loss_dfl: 0.500455 loss: 2.503619 eta: 1 day, 0:06:19 batch_cost: 0.8895 data_cost: 0.1496 ips: 71.9482 images/s
[03/18 19:32:58] ppdet.engine INFO: Epoch: [75] [280/458] learning_rate: 0.272994 loss_vfl: 1.278369 loss_bbox: 0.663696 loss_dfl: 0.489435 loss: 2.451450 eta: 1 day, 0:06:02 batch_cost: 0.8435 data_cost: 0.0407 ips: 75.8742 images/s
[03/18 19:33:18] ppdet.engine INFO: Epoch: [75] [300/458] learning_rate: 0.272942 loss_vfl: 1.262501 loss_bbox: 0.636920 loss_dfl: 0.466965 loss: 2.361755 eta: 1 day, 0:05:45 batch_cost: 0.8375 data_cost: 0.0032 ips: 76.4191 images/s
[03/18 19:33:39] ppdet.engine INFO: Epoch: [75] [320/458] learning_rate: 0.272891 loss_vfl: 1.350580 loss_bbox: 0.655800 loss_dfl: 0.494174 loss: 2.464332 eta: 1 day, 0:05:36 batch_cost: 0.9790 data_cost: 0.0495 ips: 65.3753 images/s
[03/18 19:33:58] ppdet.engine INFO: Epoch: [75] [340/458] learning_rate: 0.272839 loss_vfl: 1.296776 loss_bbox: 0.641984 loss_dfl: 0.478972 loss: 2.428101 eta: 1 day, 0:05:22 batch_cost: 0.8861 data_cost: 0.0214 ips: 72.2270 images/s
[03/18 19:34:19] ppdet.engine INFO: Epoch: [75] [360/458] learning_rate: 0.272787 loss_vfl: 1.222068 loss_bbox: 0.608681 loss_dfl: 0.452902 loss: 2.287504 eta: 1 day, 0:05:08 batch_cost: 0.9040 data_cost: 0.0972 ips: 70.7940 images/s
[03/18 19:34:42] ppdet.engine INFO: Epoch: [75] [380/458] learning_rate: 0.272735 loss_vfl: 1.258565 loss_bbox: 0.635584 loss_dfl: 0.474880 loss: 2.364964 eta: 1 day, 0:05:02 batch_cost: 1.0190 data_cost: 0.2975 ips: 62.8046 images/s
[03/18 19:34:56] ppdet.engine INFO: Epoch: [75] [400/458] learning_rate: 0.272682 loss_vfl: 1.304502 loss_bbox: 0.635493 loss_dfl: 0.479704 loss: 2.434305 eta: 1 day, 0:04:32 batch_cost: 0.6284 data_cost: 0.0025 ips: 101.8458 images/s
[03/18 19:35:12] ppdet.engine INFO: Epoch: [75] [420/458] learning_rate: 0.272630 loss_vfl: 1.286627 loss_bbox: 0.638779 loss_dfl: 0.459526 loss: 2.354359 eta: 1 day, 0:04:06 batch_cost: 0.6877 data_cost: 0.0036 ips: 93.0670 images/s
[03/18 19:35:30] ppdet.engine INFO: Epoch: [75] [440/458] learning_rate: 0.272578 loss_vfl: 1.266207 loss_bbox: 0.630262 loss_dfl: 0.468207 loss: 2.384351 eta: 1 day, 0:03:43 batch_cost: 0.7416 data_cost: 0.0169 ips: 86.2960 images/s
[03/18 19:35:51] ppdet.engine INFO: Epoch: [76] [  0/458] learning_rate: 0.272531 loss_vfl: 1.275443 loss_bbox: 0.613462 loss_dfl: 0.461283 loss: 2.360299 eta: 1 day, 0:03:38 batch_cost: 0.9806 data_cost: 0.3790 ips: 65.2668 images/s
[03/18 19:36:10] ppdet.engine INFO: Epoch: [76] [ 20/458] learning_rate: 0.272479 loss_vfl: 1.256251 loss_bbox: 0.657089 loss_dfl: 0.481350 loss: 2.388132 eta: 1 day, 0:03:20 batch_cost: 0.8332 data_cost: 0.0853 ips: 76.8088 images/s
[03/18 19:36:29] ppdet.engine INFO: Epoch: [76] [ 40/458] learning_rate: 0.272427 loss_vfl: 1.314784 loss_bbox: 0.641574 loss_dfl: 0.487668 loss: 2.431027 eta: 1 day, 0:03:02 batch_cost: 0.8147 data_cost: 0.0030 ips: 78.5572 images/s
[03/18 19:36:50] ppdet.engine INFO: Epoch: [76] [ 60/458] learning_rate: 0.272375 loss_vfl: 1.288061 loss_bbox: 0.642731 loss_dfl: 0.476932 loss: 2.420405 eta: 1 day, 0:02:52 batch_cost: 0.9663 data_cost: 0.0010 ips: 66.2338 images/s
[03/18 19:37:09] ppdet.engine INFO: Epoch: [76] [ 80/458] learning_rate: 0.272323 loss_vfl: 1.274453 loss_bbox: 0.615881 loss_dfl: 0.460765 loss: 2.346069 eta: 1 day, 0:02:37 batch_cost: 0.8788 data_cost: 0.0014 ips: 72.8256 images/s
[03/18 19:37:28] ppdet.engine INFO: Epoch: [76] [100/458] learning_rate: 0.272270 loss_vfl: 1.332368 loss_bbox: 0.651460 loss_dfl: 0.486433 loss: 2.449857 eta: 1 day, 0:02:20 batch_cost: 0.8371 data_cost: 0.0032 ips: 76.4521 images/s
[03/18 19:37:49] ppdet.engine INFO: Epoch: [76] [120/458] learning_rate: 0.272218 loss_vfl: 1.265821 loss_bbox: 0.625521 loss_dfl: 0.466713 loss: 2.357764 eta: 1 day, 0:02:06 batch_cost: 0.9022 data_cost: 0.0031 ips: 70.9410 images/s
[03/18 19:38:08] ppdet.engine INFO: Epoch: [76] [140/458] learning_rate: 0.272166 loss_vfl: 1.297013 loss_bbox: 0.658984 loss_dfl: 0.493070 loss: 2.454730 eta: 1 day, 0:01:50 batch_cost: 0.8626 data_cost: 0.0022 ips: 74.1937 images/s
[03/18 19:38:27] ppdet.engine INFO: Epoch: [76] [160/458] learning_rate: 0.272114 loss_vfl: 1.251990 loss_bbox: 0.614221 loss_dfl: 0.459536 loss: 2.350711 eta: 1 day, 0:01:34 batch_cost: 0.8600 data_cost: 0.0048 ips: 74.4223 images/s
[03/18 19:38:47] ppdet.engine INFO: Epoch: [76] [180/458] learning_rate: 0.272061 loss_vfl: 1.292292 loss_bbox: 0.649983 loss_dfl: 0.489982 loss: 2.420313 eta: 1 day, 0:01:21 batch_cost: 0.8947 data_cost: 0.0019 ips: 71.5361 images/s
[03/18 19:39:08] ppdet.engine INFO: Epoch: [76] [200/458] learning_rate: 0.272009 loss_vfl: 1.246220 loss_bbox: 0.589451 loss_dfl: 0.446920 loss: 2.322350 eta: 1 day, 0:01:13 batch_cost: 0.9972 data_cost: 0.0042 ips: 64.1825 images/s
[03/18 19:39:25] ppdet.engine INFO: Epoch: [76] [220/458] learning_rate: 0.271957 loss_vfl: 1.305002 loss_bbox: 0.633560 loss_dfl: 0.483879 loss: 2.410744 eta: 1 day, 0:00:48 batch_cost: 0.7160 data_cost: 0.0016 ips: 89.3877 images/s
[03/18 19:39:47] ppdet.engine INFO: Epoch: [76] [240/458] learning_rate: 0.271904 loss_vfl: 1.266914 loss_bbox: 0.619217 loss_dfl: 0.480357 loss: 2.356635 eta: 1 day, 0:00:42 batch_cost: 1.0241 data_cost: 0.0040 ips: 62.4960 images/s
[03/18 19:40:06] ppdet.engine INFO: Epoch: [76] [260/458] learning_rate: 0.271852 loss_vfl: 1.306813 loss_bbox: 0.645972 loss_dfl: 0.493031 loss: 2.459152 eta: 1 day, 0:00:25 batch_cost: 0.8462 data_cost: 0.0026 ips: 75.6281 images/s
[03/18 19:40:26] ppdet.engine INFO: Epoch: [76] [280/458] learning_rate: 0.271799 loss_vfl: 1.289029 loss_bbox: 0.642581 loss_dfl: 0.468820 loss: 2.350141 eta: 1 day, 0:00:10 batch_cost: 0.8755 data_cost: 0.0045 ips: 73.0987 images/s
[03/18 19:40:44] ppdet.engine INFO: Epoch: [76] [300/458] learning_rate: 0.271747 loss_vfl: 1.249566 loss_bbox: 0.657725 loss_dfl: 0.475023 loss: 2.336412 eta: 23:59:53 batch_cost: 0.8392 data_cost: 0.0009 ips: 76.2656 images/s
[03/18 19:41:02] ppdet.engine INFO: Epoch: [76] [320/458] learning_rate: 0.271694 loss_vfl: 1.325845 loss_bbox: 0.674373 loss_dfl: 0.518525 loss: 2.572519 eta: 23:59:33 batch_cost: 0.7995 data_cost: 0.0047 ips: 80.0530 images/s
[03/18 19:41:23] ppdet.engine INFO: Epoch: [76] [340/458] learning_rate: 0.271642 loss_vfl: 1.323114 loss_bbox: 0.664982 loss_dfl: 0.502034 loss: 2.494017 eta: 23:59:23 batch_cost: 0.9660 data_cost: 0.0042 ips: 66.2549 images/s
[03/18 19:41:40] ppdet.engine INFO: Epoch: [76] [360/458] learning_rate: 0.271589 loss_vfl: 1.276744 loss_bbox: 0.641157 loss_dfl: 0.474665 loss: 2.435785 eta: 23:59:02 batch_cost: 0.7730 data_cost: 0.0011 ips: 82.7901 images/s
[03/18 19:42:00] ppdet.engine INFO: Epoch: [76] [380/458] learning_rate: 0.271537 loss_vfl: 1.231081 loss_bbox: 0.582957 loss_dfl: 0.444415 loss: 2.272332 eta: 23:58:50 batch_cost: 0.9254 data_cost: 0.0048 ips: 69.1560 images/s
[03/18 19:42:13] ppdet.engine INFO: Epoch: [76] [400/458] learning_rate: 0.271484 loss_vfl: 1.277618 loss_bbox: 0.640487 loss_dfl: 0.478140 loss: 2.368970 eta: 23:58:17 batch_cost: 0.5717 data_cost: 0.0021 ips: 111.9480 images/s
[03/18 19:42:31] ppdet.engine INFO: Epoch: [76] [420/458] learning_rate: 0.271432 loss_vfl: 1.343985 loss_bbox: 0.685666 loss_dfl: 0.505481 loss: 2.557985 eta: 23:57:58 batch_cost: 0.8055 data_cost: 0.0016 ips: 79.4504 images/s
[03/18 19:42:47] ppdet.engine INFO: Epoch: [76] [440/458] learning_rate: 0.271379 loss_vfl: 1.276707 loss_bbox: 0.627789 loss_dfl: 0.470575 loss: 2.385370 eta: 23:57:33 batch_cost: 0.6969 data_cost: 0.0039 ips: 91.8367 images/s
[03/18 19:43:08] ppdet.engine INFO: Epoch: [77] [  0/458] learning_rate: 0.271332 loss_vfl: 1.326793 loss_bbox: 0.672764 loss_dfl: 0.500650 loss: 2.489380 eta: 23:57:29 batch_cost: 1.0193 data_cost: 0.3732 ips: 62.7871 images/s
[03/18 19:43:26] ppdet.engine INFO: Epoch: [77] [ 20/458] learning_rate: 0.271279 loss_vfl: 1.231780 loss_bbox: 0.633917 loss_dfl: 0.467060 loss: 2.315196 eta: 23:57:07 batch_cost: 0.7519 data_cost: 0.0426 ips: 85.1124 images/s
[03/18 19:43:46] ppdet.engine INFO: Epoch: [77] [ 40/458] learning_rate: 0.271226 loss_vfl: 1.245945 loss_bbox: 0.639851 loss_dfl: 0.476724 loss: 2.342454 eta: 23:56:50 batch_cost: 0.8478 data_cost: 0.0756 ips: 75.4920 images/s
[03/18 19:44:05] ppdet.engine INFO: Epoch: [77] [ 60/458] learning_rate: 0.271173 loss_vfl: 1.352211 loss_bbox: 0.658719 loss_dfl: 0.509124 loss: 2.515239 eta: 23:56:31 batch_cost: 0.7988 data_cost: 0.0037 ips: 80.1162 images/s
[03/18 19:44:25] ppdet.engine INFO: Epoch: [77] [ 80/458] learning_rate: 0.271121 loss_vfl: 1.272136 loss_bbox: 0.622103 loss_dfl: 0.471669 loss: 2.381478 eta: 23:56:17 batch_cost: 0.8886 data_cost: 0.0050 ips: 72.0236 images/s
[03/18 19:44:47] ppdet.engine INFO: Epoch: [77] [100/458] learning_rate: 0.271068 loss_vfl: 1.276071 loss_bbox: 0.629459 loss_dfl: 0.466655 loss: 2.383659 eta: 23:56:08 batch_cost: 0.9843 data_cost: 0.0036 ips: 65.0232 images/s
[03/18 19:45:05] ppdet.engine INFO: Epoch: [77] [120/458] learning_rate: 0.271015 loss_vfl: 1.311805 loss_bbox: 0.653143 loss_dfl: 0.488505 loss: 2.401197 eta: 23:55:47 batch_cost: 0.7711 data_cost: 0.0081 ips: 83.0016 images/s
[03/18 19:45:23] ppdet.engine INFO: Epoch: [77] [140/458] learning_rate: 0.270962 loss_vfl: 1.285386 loss_bbox: 0.628024 loss_dfl: 0.475121 loss: 2.395339 eta: 23:55:30 batch_cost: 0.8425 data_cost: 0.2676 ips: 75.9625 images/s
[03/18 19:45:43] ppdet.engine INFO: Epoch: [77] [160/458] learning_rate: 0.270910 loss_vfl: 1.245137 loss_bbox: 0.637564 loss_dfl: 0.485911 loss: 2.438596 eta: 23:55:15 batch_cost: 0.8918 data_cost: 0.2617 ips: 71.7642 images/s
[03/18 19:46:00] ppdet.engine INFO: Epoch: [77] [180/458] learning_rate: 0.270857 loss_vfl: 1.243564 loss_bbox: 0.619314 loss_dfl: 0.452177 loss: 2.344117 eta: 23:54:53 batch_cost: 0.7548 data_cost: 0.0403 ips: 84.7873 images/s
[03/18 19:46:19] ppdet.engine INFO: Epoch: [77] [200/458] learning_rate: 0.270804 loss_vfl: 1.277227 loss_bbox: 0.639281 loss_dfl: 0.478982 loss: 2.428450 eta: 23:54:35 batch_cost: 0.8142 data_cost: 0.0046 ips: 78.6049 images/s
[03/18 19:46:39] ppdet.engine INFO: Epoch: [77] [220/458] learning_rate: 0.270751 loss_vfl: 1.286692 loss_bbox: 0.641017 loss_dfl: 0.480739 loss: 2.440501 eta: 23:54:20 batch_cost: 0.8863 data_cost: 0.1802 ips: 72.2071 images/s
[03/18 19:46:59] ppdet.engine INFO: Epoch: [77] [240/458] learning_rate: 0.270698 loss_vfl: 1.256071 loss_bbox: 0.628510 loss_dfl: 0.466046 loss: 2.351543 eta: 23:54:07 batch_cost: 0.9078 data_cost: 0.3464 ips: 70.5019 images/s
[03/18 19:47:18] ppdet.engine INFO: Epoch: [77] [260/458] learning_rate: 0.270645 loss_vfl: 1.371481 loss_bbox: 0.682288 loss_dfl: 0.514970 loss: 2.561817 eta: 23:53:50 batch_cost: 0.8449 data_cost: 0.2228 ips: 75.7463 images/s
[03/18 19:47:36] ppdet.engine INFO: Epoch: [77] [280/458] learning_rate: 0.270592 loss_vfl: 1.300075 loss_bbox: 0.670088 loss_dfl: 0.494822 loss: 2.440294 eta: 23:53:31 batch_cost: 0.8084 data_cost: 0.1877 ips: 79.1663 images/s
[03/18 19:47:56] ppdet.engine INFO: Epoch: [77] [300/458] learning_rate: 0.270539 loss_vfl: 1.316869 loss_bbox: 0.619745 loss_dfl: 0.476770 loss: 2.405625 eta: 23:53:15 batch_cost: 0.8504 data_cost: 0.2088 ips: 75.2590 images/s
[03/18 19:48:14] ppdet.engine INFO: Epoch: [77] [320/458] learning_rate: 0.270486 loss_vfl: 1.254773 loss_bbox: 0.628868 loss_dfl: 0.469388 loss: 2.319115 eta: 23:52:52 batch_cost: 0.7441 data_cost: 0.1623 ips: 86.0140 images/s
[03/18 19:48:35] ppdet.engine INFO: Epoch: [77] [340/458] learning_rate: 0.270433 loss_vfl: 1.254015 loss_bbox: 0.622157 loss_dfl: 0.476381 loss: 2.373734 eta: 23:52:41 batch_cost: 0.9541 data_cost: 0.3992 ips: 67.0811 images/s
[03/18 19:48:54] ppdet.engine INFO: Epoch: [77] [360/458] learning_rate: 0.270380 loss_vfl: 1.249741 loss_bbox: 0.632874 loss_dfl: 0.473673 loss: 2.403592 eta: 23:52:24 batch_cost: 0.8265 data_cost: 0.1650 ips: 77.4396 images/s
[03/18 19:49:14] ppdet.engine INFO: Epoch: [77] [380/458] learning_rate: 0.270327 loss_vfl: 1.275203 loss_bbox: 0.634372 loss_dfl: 0.464013 loss: 2.376446 eta: 23:52:07 batch_cost: 0.8567 data_cost: 0.2616 ips: 74.7024 images/s
[03/18 19:49:33] ppdet.engine INFO: Epoch: [77] [400/458] learning_rate: 0.270274 loss_vfl: 1.275337 loss_bbox: 0.612121 loss_dfl: 0.461219 loss: 2.353278 eta: 23:51:47 batch_cost: 0.7879 data_cost: 0.0017 ips: 81.2248 images/s
[03/18 19:49:46] ppdet.engine INFO: Epoch: [77] [420/458] learning_rate: 0.270220 loss_vfl: 1.240420 loss_bbox: 0.630126 loss_dfl: 0.462837 loss: 2.327883 eta: 23:51:14 batch_cost: 0.5524 data_cost: 0.0040 ips: 115.8544 images/s
[03/18 19:50:02] ppdet.engine INFO: Epoch: [77] [440/458] learning_rate: 0.270167 loss_vfl: 1.293413 loss_bbox: 0.628341 loss_dfl: 0.474813 loss: 2.399081 eta: 23:50:50 batch_cost: 0.7333 data_cost: 0.0004 ips: 87.2765 images/s
[03/18 19:50:22] ppdet.engine INFO: Epoch: [78] [  0/458] learning_rate: 0.270119 loss_vfl: 1.266426 loss_bbox: 0.655383 loss_dfl: 0.472869 loss: 2.388433 eta: 23:50:40 batch_cost: 0.8960 data_cost: 0.3843 ips: 71.4274 images/s
[03/18 19:50:42] ppdet.engine INFO: Epoch: [78] [ 20/458] learning_rate: 0.270066 loss_vfl: 1.308385 loss_bbox: 0.647402 loss_dfl: 0.487026 loss: 2.437151 eta: 23:50:25 batch_cost: 0.8663 data_cost: 0.1185 ips: 73.8788 images/s
[03/18 19:51:01] ppdet.engine INFO: Epoch: [78] [ 40/458] learning_rate: 0.270013 loss_vfl: 1.289719 loss_bbox: 0.651383 loss_dfl: 0.483013 loss: 2.407782 eta: 23:50:09 batch_cost: 0.8665 data_cost: 0.0457 ips: 73.8569 images/s
[03/18 19:51:21] ppdet.engine INFO: Epoch: [78] [ 60/458] learning_rate: 0.269960 loss_vfl: 1.255678 loss_bbox: 0.649771 loss_dfl: 0.473845 loss: 2.418140 eta: 23:49:55 batch_cost: 0.9007 data_cost: 0.3298 ips: 71.0563 images/s
[03/18 19:51:41] ppdet.engine INFO: Epoch: [78] [ 80/458] learning_rate: 0.269906 loss_vfl: 1.247276 loss_bbox: 0.602302 loss_dfl: 0.458172 loss: 2.320757 eta: 23:49:37 batch_cost: 0.8140 data_cost: 0.2684 ips: 78.6253 images/s
[03/18 19:51:59] ppdet.engine INFO: Epoch: [78] [100/458] learning_rate: 0.269853 loss_vfl: 1.292850 loss_bbox: 0.610352 loss_dfl: 0.460005 loss: 2.360620 eta: 23:49:19 batch_cost: 0.8232 data_cost: 0.2867 ips: 77.7428 images/s
[03/18 19:52:21] ppdet.engine INFO: Epoch: [78] [120/458] learning_rate: 0.269800 loss_vfl: 1.288247 loss_bbox: 0.643372 loss_dfl: 0.481196 loss: 2.427567 eta: 23:49:11 batch_cost: 1.0056 data_cost: 0.5181 ips: 63.6426 images/s
[03/18 19:52:38] ppdet.engine INFO: Epoch: [78] [140/458] learning_rate: 0.269747 loss_vfl: 1.253363 loss_bbox: 0.618947 loss_dfl: 0.453524 loss: 2.341191 eta: 23:48:50 batch_cost: 0.7636 data_cost: 0.1393 ips: 83.8153 images/s
[03/18 19:52:56] ppdet.engine INFO: Epoch: [78] [160/458] learning_rate: 0.269693 loss_vfl: 1.288057 loss_bbox: 0.631816 loss_dfl: 0.476787 loss: 2.418497 eta: 23:48:29 batch_cost: 0.7854 data_cost: 0.1163 ips: 81.4835 images/s
[03/18 19:53:17] ppdet.engine INFO: Epoch: [78] [180/458] learning_rate: 0.269640 loss_vfl: 1.250796 loss_bbox: 0.615404 loss_dfl: 0.467601 loss: 2.329143 eta: 23:48:17 batch_cost: 0.9254 data_cost: 0.1884 ips: 69.1569 images/s
[03/18 19:53:38] ppdet.engine INFO: Epoch: [78] [200/458] learning_rate: 0.269586 loss_vfl: 1.310242 loss_bbox: 0.616364 loss_dfl: 0.459769 loss: 2.397512 eta: 23:48:04 batch_cost: 0.9065 data_cost: 0.1113 ips: 70.6020 images/s
[03/18 19:53:58] ppdet.engine INFO: Epoch: [78] [220/458] learning_rate: 0.269533 loss_vfl: 1.297286 loss_bbox: 0.644199 loss_dfl: 0.484189 loss: 2.421153 eta: 23:47:48 batch_cost: 0.8730 data_cost: 0.0025 ips: 73.3126 images/s
[03/18 19:54:15] ppdet.engine INFO: Epoch: [78] [240/458] learning_rate: 0.269479 loss_vfl: 1.278850 loss_bbox: 0.643541 loss_dfl: 0.475729 loss: 2.370114 eta: 23:47:26 batch_cost: 0.7448 data_cost: 0.0233 ips: 85.9310 images/s
[03/18 19:54:34] ppdet.engine INFO: Epoch: [78] [260/458] learning_rate: 0.269426 loss_vfl: 1.285577 loss_bbox: 0.647450 loss_dfl: 0.468406 loss: 2.421676 eta: 23:47:09 batch_cost: 0.8374 data_cost: 0.0023 ips: 76.4293 images/s
[03/18 19:54:53] ppdet.engine INFO: Epoch: [78] [280/458] learning_rate: 0.269372 loss_vfl: 1.281768 loss_bbox: 0.639469 loss_dfl: 0.472528 loss: 2.363788 eta: 23:46:52 batch_cost: 0.8475 data_cost: 0.0053 ips: 75.5135 images/s
[03/18 19:55:13] ppdet.engine INFO: Epoch: [78] [300/458] learning_rate: 0.269319 loss_vfl: 1.317145 loss_bbox: 0.660242 loss_dfl: 0.506715 loss: 2.524046 eta: 23:46:34 batch_cost: 0.8322 data_cost: 0.1961 ips: 76.9070 images/s
[03/18 19:55:32] ppdet.engine INFO: Epoch: [78] [320/458] learning_rate: 0.269265 loss_vfl: 1.260517 loss_bbox: 0.650194 loss_dfl: 0.480979 loss: 2.407548 eta: 23:46:18 batch_cost: 0.8510 data_cost: 0.2859 ips: 75.2077 images/s
[03/18 19:55:51] ppdet.engine INFO: Epoch: [78] [340/458] learning_rate: 0.269212 loss_vfl: 1.281927 loss_bbox: 0.639047 loss_dfl: 0.471238 loss: 2.404659 eta: 23:46:00 batch_cost: 0.8240 data_cost: 0.1459 ips: 77.6743 images/s
[03/18 19:56:11] ppdet.engine INFO: Epoch: [78] [360/458] learning_rate: 0.269158 loss_vfl: 1.268833 loss_bbox: 0.613698 loss_dfl: 0.458664 loss: 2.330760 eta: 23:45:44 batch_cost: 0.8685 data_cost: 0.0832 ips: 73.6934 images/s
[03/18 19:56:30] ppdet.engine INFO: Epoch: [78] [380/458] learning_rate: 0.269105 loss_vfl: 1.268278 loss_bbox: 0.624294 loss_dfl: 0.452393 loss: 2.324868 eta: 23:45:29 batch_cost: 0.8738 data_cost: 0.0847 ips: 73.2471 images/s
[03/18 19:56:48] ppdet.engine INFO: Epoch: [78] [400/458] learning_rate: 0.269051 loss_vfl: 1.225135 loss_bbox: 0.608877 loss_dfl: 0.459061 loss: 2.303613 eta: 23:45:08 batch_cost: 0.7674 data_cost: 0.0132 ips: 83.3964 images/s
[03/18 19:57:03] ppdet.engine INFO: Epoch: [78] [420/458] learning_rate: 0.268997 loss_vfl: 1.228733 loss_bbox: 0.613087 loss_dfl: 0.455546 loss: 2.318771 eta: 23:44:41 batch_cost: 0.6666 data_cost: 0.0209 ips: 96.0106 images/s
[03/18 19:57:19] ppdet.engine INFO: Epoch: [78] [440/458] learning_rate: 0.268944 loss_vfl: 1.281813 loss_bbox: 0.635517 loss_dfl: 0.469995 loss: 2.395408 eta: 23:44:17 batch_cost: 0.7106 data_cost: 0.1948 ips: 90.0689 images/s
[03/18 19:57:39] ppdet.engine INFO: Epoch: [79] [  0/458] learning_rate: 0.268895 loss_vfl: 1.311668 loss_bbox: 0.670145 loss_dfl: 0.482774 loss: 2.455846 eta: 23:44:09 batch_cost: 0.9254 data_cost: 0.4145 ips: 69.1608 images/s
[03/18 19:57:58] ppdet.engine INFO: Epoch: [79] [ 20/458] learning_rate: 0.268841 loss_vfl: 1.290849 loss_bbox: 0.665407 loss_dfl: 0.496023 loss: 2.436136 eta: 23:43:53 batch_cost: 0.8645 data_cost: 0.0037 ips: 74.0351 images/s
[03/18 19:58:19] ppdet.engine INFO: Epoch: [79] [ 40/458] learning_rate: 0.268788 loss_vfl: 1.247615 loss_bbox: 0.587996 loss_dfl: 0.445171 loss: 2.305723 eta: 23:43:40 batch_cost: 0.9179 data_cost: 0.0042 ips: 69.7261 images/s
[03/18 19:58:37] ppdet.engine INFO: Epoch: [79] [ 60/458] learning_rate: 0.268734 loss_vfl: 1.254953 loss_bbox: 0.623843 loss_dfl: 0.472336 loss: 2.365814 eta: 23:43:21 batch_cost: 0.8005 data_cost: 0.0028 ips: 79.9501 images/s
[03/18 19:58:55] ppdet.engine INFO: Epoch: [79] [ 80/458] learning_rate: 0.268680 loss_vfl: 1.237432 loss_bbox: 0.600805 loss_dfl: 0.453110 loss: 2.282752 eta: 23:43:01 batch_cost: 0.8018 data_cost: 0.0015 ips: 79.8168 images/s
[03/18 19:59:15] ppdet.engine INFO: Epoch: [79] [100/458] learning_rate: 0.268626 loss_vfl: 1.331524 loss_bbox: 0.644405 loss_dfl: 0.485161 loss: 2.443269 eta: 23:42:46 batch_cost: 0.8786 data_cost: 0.0045 ips: 72.8436 images/s
[03/18 19:59:34] ppdet.engine INFO: Epoch: [79] [120/458] learning_rate: 0.268572 loss_vfl: 1.282411 loss_bbox: 0.638944 loss_dfl: 0.477517 loss: 2.385166 eta: 23:42:31 batch_cost: 0.8615 data_cost: 0.0031 ips: 74.2907 images/s
[03/18 19:59:54] ppdet.engine INFO: Epoch: [79] [140/458] learning_rate: 0.268519 loss_vfl: 1.280646 loss_bbox: 0.622076 loss_dfl: 0.475062 loss: 2.412760 eta: 23:42:17 batch_cost: 0.9073 data_cost: 0.0110 ips: 70.5364 images/s
[03/18 20:00:14] ppdet.engine INFO: Epoch: [79] [160/458] learning_rate: 0.268465 loss_vfl: 1.285058 loss_bbox: 0.641824 loss_dfl: 0.467444 loss: 2.401068 eta: 23:42:03 batch_cost: 0.8842 data_cost: 0.0106 ips: 72.3788 images/s
[03/18 20:00:33] ppdet.engine INFO: Epoch: [79] [180/458] learning_rate: 0.268411 loss_vfl: 1.249946 loss_bbox: 0.627866 loss_dfl: 0.465863 loss: 2.340113 eta: 23:41:46 batch_cost: 0.8487 data_cost: 0.0042 ips: 75.4110 images/s
[03/18 20:00:52] ppdet.engine INFO: Epoch: [79] [200/458] learning_rate: 0.268357 loss_vfl: 1.276375 loss_bbox: 0.630462 loss_dfl: 0.471177 loss: 2.405000 eta: 23:41:30 batch_cost: 0.8669 data_cost: 0.0003 ips: 73.8223 images/s
[03/18 20:01:14] ppdet.engine INFO: Epoch: [79] [220/458] learning_rate: 0.268303 loss_vfl: 1.304556 loss_bbox: 0.627907 loss_dfl: 0.478088 loss: 2.412227 eta: 23:41:23 batch_cost: 1.0156 data_cost: 0.0023 ips: 63.0138 images/s
[03/18 20:01:33] ppdet.engine INFO: Epoch: [79] [240/458] learning_rate: 0.268249 loss_vfl: 1.311113 loss_bbox: 0.642262 loss_dfl: 0.482095 loss: 2.400943 eta: 23:41:04 batch_cost: 0.8132 data_cost: 0.0036 ips: 78.6986 images/s
[03/18 20:01:51] ppdet.engine INFO: Epoch: [79] [260/458] learning_rate: 0.268195 loss_vfl: 1.344952 loss_bbox: 0.694414 loss_dfl: 0.503228 loss: 2.540191 eta: 23:40:46 batch_cost: 0.8203 data_cost: 0.0030 ips: 78.0157 images/s
[03/18 20:02:11] ppdet.engine INFO: Epoch: [79] [280/458] learning_rate: 0.268141 loss_vfl: 1.300109 loss_bbox: 0.651009 loss_dfl: 0.481386 loss: 2.415715 eta: 23:40:30 batch_cost: 0.8662 data_cost: 0.0125 ips: 73.8839 images/s
[03/18 20:02:30] ppdet.engine INFO: Epoch: [79] [300/458] learning_rate: 0.268087 loss_vfl: 1.281889 loss_bbox: 0.669182 loss_dfl: 0.498840 loss: 2.458583 eta: 23:40:16 batch_cost: 0.8814 data_cost: 0.0011 ips: 72.6151 images/s
[03/18 20:02:49] ppdet.engine INFO: Epoch: [79] [320/458] learning_rate: 0.268033 loss_vfl: 1.258361 loss_bbox: 0.617109 loss_dfl: 0.457690 loss: 2.294056 eta: 23:39:59 batch_cost: 0.8597 data_cost: 0.0084 ips: 74.4445 images/s
[03/18 20:03:10] ppdet.engine INFO: Epoch: [79] [340/458] learning_rate: 0.267979 loss_vfl: 1.261892 loss_bbox: 0.642475 loss_dfl: 0.482353 loss: 2.344923 eta: 23:39:48 batch_cost: 0.9434 data_cost: 0.0011 ips: 67.8380 images/s
[03/18 20:03:29] ppdet.engine INFO: Epoch: [79] [360/458] learning_rate: 0.267924 loss_vfl: 1.287306 loss_bbox: 0.645131 loss_dfl: 0.488159 loss: 2.452806 eta: 23:39:30 batch_cost: 0.8203 data_cost: 0.0013 ips: 78.0202 images/s
[03/18 20:03:49] ppdet.engine INFO: Epoch: [79] [380/458] learning_rate: 0.267870 loss_vfl: 1.289418 loss_bbox: 0.636610 loss_dfl: 0.474103 loss: 2.419068 eta: 23:39:17 batch_cost: 0.9229 data_cost: 0.0025 ips: 69.3462 images/s
[03/18 20:04:08] ppdet.engine INFO: Epoch: [79] [400/458] learning_rate: 0.267816 loss_vfl: 1.413282 loss_bbox: 0.708045 loss_dfl: 0.525682 loss: 2.635840 eta: 23:38:59 batch_cost: 0.8264 data_cost: 0.0028 ips: 77.4468 images/s
[03/18 20:04:24] ppdet.engine INFO: Epoch: [79] [420/458] learning_rate: 0.267762 loss_vfl: 1.309596 loss_bbox: 0.627591 loss_dfl: 0.477406 loss: 2.433944 eta: 23:38:35 batch_cost: 0.7038 data_cost: 0.0051 ips: 90.9379 images/s
[03/18 20:04:40] ppdet.engine INFO: Epoch: [79] [440/458] learning_rate: 0.267708 loss_vfl: 1.286503 loss_bbox: 0.622076 loss_dfl: 0.466434 loss: 2.423186 eta: 23:38:09 batch_cost: 0.6817 data_cost: 0.0046 ips: 93.8782 images/s
[03/18 20:04:49] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 20:04:50] ppdet.engine INFO: Eval iter: 0
[03/18 20:05:09] ppdet.engine INFO: Eval iter: 100
[03/18 20:05:20] ppdet.engine INFO: Eval iter: 200
[03/18 20:05:32] ppdet.engine INFO: Eval iter: 300
[03/18 20:05:43] ppdet.engine INFO: Eval iter: 400
[03/18 20:05:54] ppdet.engine INFO: Eval iter: 500
[03/18 20:06:05] ppdet.engine INFO: Eval iter: 600
[03/18 20:06:19] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.59s)
creating index...
index created!
[03/18 20:06:20] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.89s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=76.13s).
Accumulating evaluation results...
DONE (t=15.83s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.190
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.303
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.198
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.057
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.180
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.341
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.212
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.339
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.359
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.096
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.387
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.620
[03/18 20:07:59] ppdet.engine INFO: Total sample number: 4952, averge FPS: 63.484413699160925
[03/18 20:07:59] ppdet.engine INFO: Best test bbox ap is 0.190.
[03/18 20:07:59] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 20:07:59] ppdet.engine INFO: Epoch: [80] [  0/458] learning_rate: 0.267659 loss_vfl: 1.354233 loss_bbox: 0.660869 loss_dfl: 0.506226 loss: 2.531914 eta: 23:37:34 batch_cost: 0.5397 data_cost: 0.0006 ips: 118.5809 images/s
[03/18 20:08:13] ppdet.engine INFO: Epoch: [80] [ 20/458] learning_rate: 0.267605 loss_vfl: 1.297009 loss_bbox: 0.635931 loss_dfl: 0.490693 loss: 2.439497 eta: 23:37:04 batch_cost: 0.6164 data_cost: 0.0007 ips: 103.8219 images/s
[03/18 20:08:36] ppdet.engine INFO: Epoch: [80] [ 40/458] learning_rate: 0.267550 loss_vfl: 1.281299 loss_bbox: 0.644226 loss_dfl: 0.474340 loss: 2.360125 eta: 23:37:00 batch_cost: 1.0764 data_cost: 0.0032 ips: 59.4579 images/s
[03/18 20:08:56] ppdet.engine INFO: Epoch: [80] [ 60/458] learning_rate: 0.267496 loss_vfl: 1.274645 loss_bbox: 0.654472 loss_dfl: 0.489232 loss: 2.411751 eta: 23:36:47 batch_cost: 0.9086 data_cost: 0.0003 ips: 70.4389 images/s
[03/18 20:09:16] ppdet.engine INFO: Epoch: [80] [ 80/458] learning_rate: 0.267442 loss_vfl: 1.246835 loss_bbox: 0.608455 loss_dfl: 0.446200 loss: 2.356181 eta: 23:36:36 batch_cost: 0.9541 data_cost: 0.0010 ips: 67.0770 images/s
[03/18 20:09:36] ppdet.engine INFO: Epoch: [80] [100/458] learning_rate: 0.267387 loss_vfl: 1.379270 loss_bbox: 0.671166 loss_dfl: 0.492834 loss: 2.545344 eta: 23:36:21 batch_cost: 0.8744 data_cost: 0.0024 ips: 73.1937 images/s
[03/18 20:09:58] ppdet.engine INFO: Epoch: [80] [120/458] learning_rate: 0.267333 loss_vfl: 1.317777 loss_bbox: 0.614993 loss_dfl: 0.477469 loss: 2.392270 eta: 23:36:13 batch_cost: 1.0193 data_cost: 0.0025 ips: 62.7866 images/s
[03/18 20:10:19] ppdet.engine INFO: Epoch: [80] [140/458] learning_rate: 0.267279 loss_vfl: 1.312624 loss_bbox: 0.644910 loss_dfl: 0.476526 loss: 2.431926 eta: 23:36:03 batch_cost: 0.9594 data_cost: 0.0026 ips: 66.7097 images/s
[03/18 20:10:40] ppdet.engine INFO: Epoch: [80] [160/458] learning_rate: 0.267224 loss_vfl: 1.275539 loss_bbox: 0.650333 loss_dfl: 0.484171 loss: 2.419748 eta: 23:35:53 batch_cost: 0.9755 data_cost: 0.0041 ips: 65.6071 images/s
[03/18 20:10:56] ppdet.engine INFO: Epoch: [80] [180/458] learning_rate: 0.267170 loss_vfl: 1.343335 loss_bbox: 0.658018 loss_dfl: 0.496501 loss: 2.506536 eta: 23:35:29 batch_cost: 0.7019 data_cost: 0.0012 ips: 91.1792 images/s
[03/18 20:11:14] ppdet.engine INFO: Epoch: [80] [200/458] learning_rate: 0.267115 loss_vfl: 1.293553 loss_bbox: 0.646969 loss_dfl: 0.478461 loss: 2.434444 eta: 23:35:10 batch_cost: 0.8185 data_cost: 0.0022 ips: 78.1921 images/s
[03/18 20:11:29] ppdet.engine INFO: Epoch: [80] [220/458] learning_rate: 0.267061 loss_vfl: 1.286156 loss_bbox: 0.666747 loss_dfl: 0.484235 loss: 2.454633 eta: 23:34:43 batch_cost: 0.6533 data_cost: 0.0071 ips: 97.9683 images/s
[03/18 20:11:43] ppdet.engine INFO: Epoch: [80] [240/458] learning_rate: 0.267006 loss_vfl: 1.261899 loss_bbox: 0.651914 loss_dfl: 0.476095 loss: 2.400345 eta: 23:34:14 batch_cost: 0.6246 data_cost: 0.0024 ips: 102.4685 images/s
[03/18 20:12:04] ppdet.engine INFO: Epoch: [80] [260/458] learning_rate: 0.266952 loss_vfl: 1.288658 loss_bbox: 0.616682 loss_dfl: 0.483014 loss: 2.420816 eta: 23:34:04 batch_cost: 0.9628 data_cost: 0.0004 ips: 66.4747 images/s
[03/18 20:12:25] ppdet.engine INFO: Epoch: [80] [280/458] learning_rate: 0.266897 loss_vfl: 1.375715 loss_bbox: 0.683001 loss_dfl: 0.498688 loss: 2.553759 eta: 23:33:51 batch_cost: 0.9282 data_cost: 0.0023 ips: 68.9515 images/s
[03/18 20:12:44] ppdet.engine INFO: Epoch: [80] [300/458] learning_rate: 0.266843 loss_vfl: 1.310624 loss_bbox: 0.641374 loss_dfl: 0.497997 loss: 2.486224 eta: 23:33:36 batch_cost: 0.8774 data_cost: 0.0031 ips: 72.9419 images/s
[03/18 20:13:06] ppdet.engine INFO: Epoch: [80] [320/458] learning_rate: 0.266788 loss_vfl: 1.263888 loss_bbox: 0.623556 loss_dfl: 0.469219 loss: 2.360924 eta: 23:33:28 batch_cost: 1.0056 data_cost: 0.0017 ips: 63.6456 images/s
[03/18 20:13:25] ppdet.engine INFO: Epoch: [80] [340/458] learning_rate: 0.266734 loss_vfl: 1.262801 loss_bbox: 0.635347 loss_dfl: 0.485157 loss: 2.418937 eta: 23:33:12 batch_cost: 0.8549 data_cost: 0.0107 ips: 74.8621 images/s
[03/18 20:13:44] ppdet.engine INFO: Epoch: [80] [360/458] learning_rate: 0.266679 loss_vfl: 1.264219 loss_bbox: 0.625648 loss_dfl: 0.471698 loss: 2.391560 eta: 23:32:57 batch_cost: 0.8761 data_cost: 0.0044 ips: 73.0503 images/s
[03/18 20:14:04] ppdet.engine INFO: Epoch: [80] [380/458] learning_rate: 0.266624 loss_vfl: 1.271822 loss_bbox: 0.628377 loss_dfl: 0.465033 loss: 2.374226 eta: 23:32:43 batch_cost: 0.9064 data_cost: 0.0014 ips: 70.6080 images/s
[03/18 20:14:23] ppdet.engine INFO: Epoch: [80] [400/458] learning_rate: 0.266570 loss_vfl: 1.260245 loss_bbox: 0.642518 loss_dfl: 0.486311 loss: 2.399547 eta: 23:32:26 batch_cost: 0.8404 data_cost: 0.0042 ips: 76.1586 images/s
[03/18 20:14:43] ppdet.engine INFO: Epoch: [80] [420/458] learning_rate: 0.266515 loss_vfl: 1.319693 loss_bbox: 0.658597 loss_dfl: 0.483953 loss: 2.470149 eta: 23:32:12 batch_cost: 0.8894 data_cost: 0.0029 ips: 71.9567 images/s
[03/18 20:15:01] ppdet.engine INFO: Epoch: [80] [440/458] learning_rate: 0.266460 loss_vfl: 1.294298 loss_bbox: 0.622339 loss_dfl: 0.467161 loss: 2.386188 eta: 23:31:55 batch_cost: 0.8493 data_cost: 0.0034 ips: 75.3556 images/s
[03/18 20:15:21] ppdet.engine INFO: Epoch: [81] [  0/458] learning_rate: 0.266411 loss_vfl: 1.278595 loss_bbox: 0.632002 loss_dfl: 0.482380 loss: 2.408508 eta: 23:31:47 batch_cost: 1.0360 data_cost: 0.3363 ips: 61.7739 images/s
[03/18 20:15:44] ppdet.engine INFO: Epoch: [81] [ 20/458] learning_rate: 0.266356 loss_vfl: 1.315096 loss_bbox: 0.642443 loss_dfl: 0.495283 loss: 2.483577 eta: 23:31:38 batch_cost: 0.9978 data_cost: 0.4106 ips: 64.1422 images/s
[03/18 20:16:04] ppdet.engine INFO: Epoch: [81] [ 40/458] learning_rate: 0.266301 loss_vfl: 1.285665 loss_bbox: 0.656714 loss_dfl: 0.477513 loss: 2.409472 eta: 23:31:22 batch_cost: 0.8489 data_cost: 0.3056 ips: 75.3919 images/s
[03/18 20:16:23] ppdet.engine INFO: Epoch: [81] [ 60/458] learning_rate: 0.266246 loss_vfl: 1.258070 loss_bbox: 0.635536 loss_dfl: 0.468538 loss: 2.343908 eta: 23:31:05 batch_cost: 0.8497 data_cost: 0.2580 ips: 75.3232 images/s
[03/18 20:16:47] ppdet.engine INFO: Epoch: [81] [ 80/458] learning_rate: 0.266192 loss_vfl: 1.277753 loss_bbox: 0.628655 loss_dfl: 0.470653 loss: 2.374424 eta: 23:30:58 batch_cost: 1.0331 data_cost: 0.5584 ips: 61.9483 images/s
[03/18 20:17:06] ppdet.engine INFO: Epoch: [81] [100/458] learning_rate: 0.266137 loss_vfl: 1.205154 loss_bbox: 0.599546 loss_dfl: 0.452354 loss: 2.275149 eta: 23:30:43 batch_cost: 0.8671 data_cost: 0.3435 ips: 73.8118 images/s
[03/18 20:17:27] ppdet.engine INFO: Epoch: [81] [120/458] learning_rate: 0.266082 loss_vfl: 1.335269 loss_bbox: 0.637724 loss_dfl: 0.485235 loss: 2.428841 eta: 23:30:27 batch_cost: 0.8696 data_cost: 0.3383 ips: 73.5977 images/s
[03/18 20:17:49] ppdet.engine INFO: Epoch: [81] [140/458] learning_rate: 0.266027 loss_vfl: 1.304576 loss_bbox: 0.621256 loss_dfl: 0.465476 loss: 2.397744 eta: 23:30:16 batch_cost: 0.9554 data_cost: 0.3982 ips: 66.9842 images/s
[03/18 20:18:08] ppdet.engine INFO: Epoch: [81] [160/458] learning_rate: 0.265972 loss_vfl: 1.236369 loss_bbox: 0.633932 loss_dfl: 0.465233 loss: 2.354790 eta: 23:29:58 batch_cost: 0.8265 data_cost: 0.3056 ips: 77.4361 images/s
[03/18 20:18:25] ppdet.engine INFO: Epoch: [81] [180/458] learning_rate: 0.265917 loss_vfl: 1.268227 loss_bbox: 0.640199 loss_dfl: 0.466372 loss: 2.345762 eta: 23:29:36 batch_cost: 0.7464 data_cost: 0.2605 ips: 85.7487 images/s
[03/18 20:18:41] ppdet.engine INFO: Epoch: [81] [200/458] learning_rate: 0.265862 loss_vfl: 1.323251 loss_bbox: 0.640398 loss_dfl: 0.477194 loss: 2.442064 eta: 23:29:13 batch_cost: 0.7205 data_cost: 0.2839 ips: 88.8236 images/s
[03/18 20:18:57] ppdet.engine INFO: Epoch: [81] [220/458] learning_rate: 0.265807 loss_vfl: 1.222395 loss_bbox: 0.612075 loss_dfl: 0.463535 loss: 2.281979 eta: 23:28:50 batch_cost: 0.7362 data_cost: 0.2361 ips: 86.9289 images/s
[03/18 20:19:20] ppdet.engine INFO: Epoch: [81] [240/458] learning_rate: 0.265752 loss_vfl: 1.294130 loss_bbox: 0.665481 loss_dfl: 0.491570 loss: 2.484626 eta: 23:28:44 batch_cost: 1.0439 data_cost: 0.4432 ips: 61.3068 images/s
[03/18 20:19:39] ppdet.engine INFO: Epoch: [81] [260/458] learning_rate: 0.265697 loss_vfl: 1.281361 loss_bbox: 0.617339 loss_dfl: 0.474381 loss: 2.339570 eta: 23:28:28 batch_cost: 0.8611 data_cost: 0.3704 ips: 74.3262 images/s
[03/18 20:20:02] ppdet.engine INFO: Epoch: [81] [280/458] learning_rate: 0.265642 loss_vfl: 1.261765 loss_bbox: 0.639807 loss_dfl: 0.485150 loss: 2.415302 eta: 23:28:18 batch_cost: 0.9886 data_cost: 0.4734 ips: 64.7413 images/s
[03/18 20:20:22] ppdet.engine INFO: Epoch: [81] [300/458] learning_rate: 0.265587 loss_vfl: 1.311919 loss_bbox: 0.621006 loss_dfl: 0.472986 loss: 2.388978 eta: 23:28:02 batch_cost: 0.8560 data_cost: 0.2842 ips: 74.7643 images/s
[03/18 20:20:43] ppdet.engine INFO: Epoch: [81] [320/458] learning_rate: 0.265532 loss_vfl: 1.325946 loss_bbox: 0.676783 loss_dfl: 0.501919 loss: 2.518234 eta: 23:27:50 batch_cost: 0.9234 data_cost: 0.3908 ips: 69.3086 images/s
[03/18 20:21:01] ppdet.engine INFO: Epoch: [81] [340/458] learning_rate: 0.265477 loss_vfl: 1.270986 loss_bbox: 0.591295 loss_dfl: 0.447941 loss: 2.311470 eta: 23:27:29 batch_cost: 0.7744 data_cost: 0.2155 ips: 82.6399 images/s
[03/18 20:21:22] ppdet.engine INFO: Epoch: [81] [360/458] learning_rate: 0.265422 loss_vfl: 1.312754 loss_bbox: 0.671413 loss_dfl: 0.495576 loss: 2.481895 eta: 23:27:17 batch_cost: 0.9312 data_cost: 0.3579 ips: 68.7289 images/s
[03/18 20:21:42] ppdet.engine INFO: Epoch: [81] [380/458] learning_rate: 0.265366 loss_vfl: 1.271544 loss_bbox: 0.657915 loss_dfl: 0.484525 loss: 2.394032 eta: 23:27:00 batch_cost: 0.8438 data_cost: 0.3578 ips: 75.8473 images/s
[03/18 20:22:04] ppdet.engine INFO: Epoch: [81] [400/458] learning_rate: 0.265311 loss_vfl: 1.186143 loss_bbox: 0.602322 loss_dfl: 0.443904 loss: 2.208975 eta: 23:26:45 batch_cost: 0.8920 data_cost: 0.2433 ips: 71.7482 images/s
[03/18 20:22:26] ppdet.engine INFO: Epoch: [81] [420/458] learning_rate: 0.265256 loss_vfl: 1.313175 loss_bbox: 0.651345 loss_dfl: 0.490606 loss: 2.470890 eta: 23:26:33 batch_cost: 0.9397 data_cost: 0.0364 ips: 68.1099 images/s
[03/18 20:22:44] ppdet.engine INFO: Epoch: [81] [440/458] learning_rate: 0.265201 loss_vfl: 1.316561 loss_bbox: 0.670468 loss_dfl: 0.501346 loss: 2.516814 eta: 23:26:14 batch_cost: 0.8076 data_cost: 0.2387 ips: 79.2425 images/s
[03/18 20:23:04] ppdet.engine INFO: Epoch: [82] [  0/458] learning_rate: 0.265151 loss_vfl: 1.316654 loss_bbox: 0.642542 loss_dfl: 0.492402 loss: 2.446601 eta: 23:26:04 batch_cost: 0.9674 data_cost: 0.4088 ips: 66.1541 images/s
[03/18 20:23:27] ppdet.engine INFO: Epoch: [82] [ 20/458] learning_rate: 0.265096 loss_vfl: 1.274682 loss_bbox: 0.631094 loss_dfl: 0.479439 loss: 2.419007 eta: 23:25:52 batch_cost: 0.9511 data_cost: 0.4155 ips: 67.2884 images/s
[03/18 20:23:44] ppdet.engine INFO: Epoch: [82] [ 40/458] learning_rate: 0.265040 loss_vfl: 1.301632 loss_bbox: 0.654075 loss_dfl: 0.492513 loss: 2.421679 eta: 23:25:30 batch_cost: 0.7447 data_cost: 0.2726 ips: 85.9389 images/s
[03/18 20:24:04] ppdet.engine INFO: Epoch: [82] [ 60/458] learning_rate: 0.264985 loss_vfl: 1.306907 loss_bbox: 0.652452 loss_dfl: 0.481100 loss: 2.474223 eta: 23:25:19 batch_cost: 0.9433 data_cost: 0.3852 ips: 67.8465 images/s
[03/18 20:24:26] ppdet.engine INFO: Epoch: [82] [ 80/458] learning_rate: 0.264930 loss_vfl: 1.263928 loss_bbox: 0.584786 loss_dfl: 0.444760 loss: 2.288071 eta: 23:25:07 batch_cost: 0.9558 data_cost: 0.1660 ips: 66.9625 images/s
[03/18 20:24:48] ppdet.engine INFO: Epoch: [82] [100/458] learning_rate: 0.264874 loss_vfl: 1.334531 loss_bbox: 0.662150 loss_dfl: 0.496577 loss: 2.502215 eta: 23:24:59 batch_cost: 1.0068 data_cost: 0.1306 ips: 63.5649 images/s
[03/18 20:25:09] ppdet.engine INFO: Epoch: [82] [120/458] learning_rate: 0.264819 loss_vfl: 1.312679 loss_bbox: 0.656819 loss_dfl: 0.483057 loss: 2.410744 eta: 23:24:46 batch_cost: 0.9133 data_cost: 0.3403 ips: 70.0720 images/s
[03/18 20:25:25] ppdet.engine INFO: Epoch: [82] [140/458] learning_rate: 0.264764 loss_vfl: 1.311354 loss_bbox: 0.655928 loss_dfl: 0.487188 loss: 2.427694 eta: 23:24:23 batch_cost: 0.7406 data_cost: 0.2048 ips: 86.4195 images/s
[03/18 20:25:41] ppdet.engine INFO: Epoch: [82] [160/458] learning_rate: 0.264708 loss_vfl: 1.323552 loss_bbox: 0.648220 loss_dfl: 0.483142 loss: 2.426499 eta: 23:24:00 batch_cost: 0.7296 data_cost: 0.2464 ips: 87.7184 images/s
[03/18 20:25:57] ppdet.engine INFO: Epoch: [82] [180/458] learning_rate: 0.264653 loss_vfl: 1.251950 loss_bbox: 0.654111 loss_dfl: 0.474873 loss: 2.365225 eta: 23:23:35 batch_cost: 0.6898 data_cost: 0.2558 ips: 92.7810 images/s
[03/18 20:26:18] ppdet.engine INFO: Epoch: [82] [200/458] learning_rate: 0.264597 loss_vfl: 1.349874 loss_bbox: 0.661888 loss_dfl: 0.485009 loss: 2.502707 eta: 23:23:23 batch_cost: 0.9273 data_cost: 0.3581 ips: 69.0160 images/s
[03/18 20:26:40] ppdet.engine INFO: Epoch: [82] [220/458] learning_rate: 0.264542 loss_vfl: 1.245833 loss_bbox: 0.630783 loss_dfl: 0.471334 loss: 2.347668 eta: 23:23:13 batch_cost: 0.9849 data_cost: 0.4898 ips: 64.9832 images/s
[03/18 20:27:00] ppdet.engine INFO: Epoch: [82] [240/458] learning_rate: 0.264486 loss_vfl: 1.285861 loss_bbox: 0.645854 loss_dfl: 0.487348 loss: 2.473586 eta: 23:22:57 batch_cost: 0.8604 data_cost: 0.3182 ips: 74.3825 images/s
[03/18 20:27:20] ppdet.engine INFO: Epoch: [82] [260/458] learning_rate: 0.264431 loss_vfl: 1.349104 loss_bbox: 0.656596 loss_dfl: 0.505143 loss: 2.507020 eta: 23:22:39 batch_cost: 0.8188 data_cost: 0.1807 ips: 78.1659 images/s
[03/18 20:27:39] ppdet.engine INFO: Epoch: [82] [280/458] learning_rate: 0.264375 loss_vfl: 1.271269 loss_bbox: 0.632728 loss_dfl: 0.470981 loss: 2.413085 eta: 23:22:20 batch_cost: 0.8158 data_cost: 0.3303 ips: 78.4514 images/s
[03/18 20:27:58] ppdet.engine INFO: Epoch: [82] [300/458] learning_rate: 0.264320 loss_vfl: 1.223384 loss_bbox: 0.623366 loss_dfl: 0.456932 loss: 2.310699 eta: 23:22:06 batch_cost: 0.8944 data_cost: 0.1367 ips: 71.5543 images/s
[03/18 20:28:18] ppdet.engine INFO: Epoch: [82] [320/458] learning_rate: 0.264264 loss_vfl: 1.232597 loss_bbox: 0.626374 loss_dfl: 0.461301 loss: 2.298105 eta: 23:21:48 batch_cost: 0.8170 data_cost: 0.2221 ips: 78.3344 images/s
[03/18 20:28:41] ppdet.engine INFO: Epoch: [82] [340/458] learning_rate: 0.264208 loss_vfl: 1.337875 loss_bbox: 0.636395 loss_dfl: 0.466148 loss: 2.399740 eta: 23:21:41 batch_cost: 1.0475 data_cost: 0.5548 ips: 61.0990 images/s
[03/18 20:29:01] ppdet.engine INFO: Epoch: [82] [360/458] learning_rate: 0.264153 loss_vfl: 1.273467 loss_bbox: 0.639012 loss_dfl: 0.481979 loss: 2.432871 eta: 23:21:28 batch_cost: 0.9163 data_cost: 0.3401 ips: 69.8452 images/s
[03/18 20:29:19] ppdet.engine INFO: Epoch: [82] [380/458] learning_rate: 0.264097 loss_vfl: 1.237061 loss_bbox: 0.640044 loss_dfl: 0.477303 loss: 2.335888 eta: 23:21:09 batch_cost: 0.7924 data_cost: 0.2110 ips: 80.7674 images/s
[03/18 20:29:38] ppdet.engine INFO: Epoch: [82] [400/458] learning_rate: 0.264041 loss_vfl: 1.285527 loss_bbox: 0.652187 loss_dfl: 0.490760 loss: 2.434765 eta: 23:20:49 batch_cost: 0.7984 data_cost: 0.2408 ips: 80.1636 images/s
[03/18 20:29:58] ppdet.engine INFO: Epoch: [82] [420/458] learning_rate: 0.263986 loss_vfl: 1.371574 loss_bbox: 0.701598 loss_dfl: 0.526228 loss: 2.590039 eta: 23:20:35 batch_cost: 0.8941 data_cost: 0.1705 ips: 71.5789 images/s
[03/18 20:30:20] ppdet.engine INFO: Epoch: [82] [440/458] learning_rate: 0.263930 loss_vfl: 1.242454 loss_bbox: 0.613407 loss_dfl: 0.460254 loss: 2.296280 eta: 23:20:20 batch_cost: 0.8842 data_cost: 0.1916 ips: 72.3806 images/s
[03/18 20:30:41] ppdet.engine INFO: Epoch: [83] [  0/458] learning_rate: 0.263880 loss_vfl: 1.323117 loss_bbox: 0.668794 loss_dfl: 0.493002 loss: 2.474266 eta: 23:20:14 batch_cost: 1.0020 data_cost: 0.4447 ips: 63.8705 images/s
[03/18 20:31:02] ppdet.engine INFO: Epoch: [83] [ 20/458] learning_rate: 0.263824 loss_vfl: 1.267431 loss_bbox: 0.638102 loss_dfl: 0.480187 loss: 2.406209 eta: 23:20:03 batch_cost: 0.9657 data_cost: 0.0017 ips: 66.2705 images/s
[03/18 20:31:21] ppdet.engine INFO: Epoch: [83] [ 40/458] learning_rate: 0.263768 loss_vfl: 1.341607 loss_bbox: 0.663074 loss_dfl: 0.498864 loss: 2.529744 eta: 23:19:46 batch_cost: 0.8384 data_cost: 0.0007 ips: 76.3319 images/s
[03/18 20:31:42] ppdet.engine INFO: Epoch: [83] [ 60/458] learning_rate: 0.263712 loss_vfl: 1.260920 loss_bbox: 0.638459 loss_dfl: 0.477235 loss: 2.345387 eta: 23:19:36 batch_cost: 0.9759 data_cost: 0.0021 ips: 65.5775 images/s
[03/18 20:32:01] ppdet.engine INFO: Epoch: [83] [ 80/458] learning_rate: 0.263656 loss_vfl: 1.317673 loss_bbox: 0.651082 loss_dfl: 0.481556 loss: 2.456046 eta: 23:19:20 batch_cost: 0.8655 data_cost: 0.0028 ips: 73.9497 images/s
[03/18 20:32:23] ppdet.engine INFO: Epoch: [83] [100/458] learning_rate: 0.263600 loss_vfl: 1.302460 loss_bbox: 0.678217 loss_dfl: 0.504386 loss: 2.482197 eta: 23:19:13 batch_cost: 1.0389 data_cost: 0.0026 ips: 61.6040 images/s
[03/18 20:32:40] ppdet.engine INFO: Epoch: [83] [120/458] learning_rate: 0.263545 loss_vfl: 1.242414 loss_bbox: 0.595814 loss_dfl: 0.449274 loss: 2.304518 eta: 23:18:51 batch_cost: 0.7557 data_cost: 0.0031 ips: 84.6881 images/s
[03/18 20:32:54] ppdet.engine INFO: Epoch: [83] [140/458] learning_rate: 0.263489 loss_vfl: 1.337913 loss_bbox: 0.662200 loss_dfl: 0.494624 loss: 2.482671 eta: 23:18:22 batch_cost: 0.6153 data_cost: 0.0006 ips: 104.0090 images/s
[03/18 20:33:12] ppdet.engine INFO: Epoch: [83] [160/458] learning_rate: 0.263433 loss_vfl: 1.196622 loss_bbox: 0.594897 loss_dfl: 0.446895 loss: 2.216363 eta: 23:18:04 batch_cost: 0.8174 data_cost: 0.0081 ips: 78.2957 images/s
[03/18 20:33:31] ppdet.engine INFO: Epoch: [83] [180/458] learning_rate: 0.263377 loss_vfl: 1.238310 loss_bbox: 0.631938 loss_dfl: 0.462041 loss: 2.322949 eta: 23:17:47 batch_cost: 0.8467 data_cost: 0.0017 ips: 75.5891 images/s
[03/18 20:33:50] ppdet.engine INFO: Epoch: [83] [200/458] learning_rate: 0.263321 loss_vfl: 1.309247 loss_bbox: 0.661041 loss_dfl: 0.478765 loss: 2.421223 eta: 23:17:30 batch_cost: 0.8483 data_cost: 0.0036 ips: 75.4469 images/s
[03/18 20:34:11] ppdet.engine INFO: Epoch: [83] [220/458] learning_rate: 0.263265 loss_vfl: 1.268119 loss_bbox: 0.632279 loss_dfl: 0.490142 loss: 2.391736 eta: 23:17:21 batch_cost: 0.9858 data_cost: 0.0026 ips: 64.9231 images/s
[03/18 20:34:30] ppdet.engine INFO: Epoch: [83] [240/458] learning_rate: 0.263209 loss_vfl: 1.328401 loss_bbox: 0.670150 loss_dfl: 0.490418 loss: 2.481531 eta: 23:17:04 batch_cost: 0.8519 data_cost: 0.0014 ips: 75.1305 images/s
[03/18 20:34:49] ppdet.engine INFO: Epoch: [83] [260/458] learning_rate: 0.263153 loss_vfl: 1.246190 loss_bbox: 0.634832 loss_dfl: 0.466884 loss: 2.366450 eta: 23:16:50 batch_cost: 0.8920 data_cost: 0.0027 ips: 71.7453 images/s
[03/18 20:35:09] ppdet.engine INFO: Epoch: [83] [280/458] learning_rate: 0.263097 loss_vfl: 1.253151 loss_bbox: 0.637226 loss_dfl: 0.470639 loss: 2.378738 eta: 23:16:36 batch_cost: 0.9056 data_cost: 0.0044 ips: 70.6740 images/s
[03/18 20:35:26] ppdet.engine INFO: Epoch: [83] [300/458] learning_rate: 0.263041 loss_vfl: 1.282198 loss_bbox: 0.626229 loss_dfl: 0.476650 loss: 2.410256 eta: 23:16:14 batch_cost: 0.7431 data_cost: 0.0023 ips: 86.1251 images/s
[03/18 20:35:46] ppdet.engine INFO: Epoch: [83] [320/458] learning_rate: 0.262985 loss_vfl: 1.290483 loss_bbox: 0.671179 loss_dfl: 0.508882 loss: 2.463196 eta: 23:16:00 batch_cost: 0.9103 data_cost: 0.0015 ips: 70.3028 images/s
[03/18 20:36:06] ppdet.engine INFO: Epoch: [83] [340/458] learning_rate: 0.262928 loss_vfl: 1.239817 loss_bbox: 0.616779 loss_dfl: 0.468915 loss: 2.376388 eta: 23:15:44 batch_cost: 0.8682 data_cost: 0.0044 ips: 73.7164 images/s
[03/18 20:36:24] ppdet.engine INFO: Epoch: [83] [360/458] learning_rate: 0.262872 loss_vfl: 1.206980 loss_bbox: 0.598066 loss_dfl: 0.459120 loss: 2.250405 eta: 23:15:28 batch_cost: 0.8533 data_cost: 0.0042 ips: 75.0045 images/s
[03/18 20:36:43] ppdet.engine INFO: Epoch: [83] [380/458] learning_rate: 0.262816 loss_vfl: 1.268349 loss_bbox: 0.623818 loss_dfl: 0.465626 loss: 2.375059 eta: 23:15:10 batch_cost: 0.8253 data_cost: 0.0036 ips: 77.5454 images/s
[03/18 20:37:05] ppdet.engine INFO: Epoch: [83] [400/458] learning_rate: 0.262760 loss_vfl: 1.221199 loss_bbox: 0.599296 loss_dfl: 0.459451 loss: 2.257838 eta: 23:14:59 batch_cost: 0.9695 data_cost: 0.0038 ips: 66.0136 images/s
[03/18 20:37:27] ppdet.engine INFO: Epoch: [83] [420/458] learning_rate: 0.262704 loss_vfl: 1.324657 loss_bbox: 0.661322 loss_dfl: 0.494103 loss: 2.461407 eta: 23:14:49 batch_cost: 0.9785 data_cost: 0.0015 ips: 65.4070 images/s
[03/18 20:37:43] ppdet.engine INFO: Epoch: [83] [440/458] learning_rate: 0.262647 loss_vfl: 1.279844 loss_bbox: 0.632180 loss_dfl: 0.461097 loss: 2.356360 eta: 23:14:26 batch_cost: 0.7182 data_cost: 0.0079 ips: 89.1162 images/s
[03/18 20:38:07] ppdet.engine INFO: Epoch: [84] [  0/458] learning_rate: 0.262597 loss_vfl: 1.224690 loss_bbox: 0.611742 loss_dfl: 0.465208 loss: 2.303993 eta: 23:14:28 batch_cost: 1.1519 data_cost: 0.3526 ips: 55.5608 images/s
[03/18 20:38:26] ppdet.engine INFO: Epoch: [84] [ 20/458] learning_rate: 0.262541 loss_vfl: 1.242152 loss_bbox: 0.626201 loss_dfl: 0.472008 loss: 2.367285 eta: 23:14:11 batch_cost: 0.8392 data_cost: 0.0007 ips: 76.2625 images/s
[03/18 20:38:47] ppdet.engine INFO: Epoch: [84] [ 40/458] learning_rate: 0.262484 loss_vfl: 1.287486 loss_bbox: 0.629822 loss_dfl: 0.470133 loss: 2.365036 eta: 23:13:58 batch_cost: 0.9206 data_cost: 0.0054 ips: 69.5197 images/s
[03/18 20:39:10] ppdet.engine INFO: Epoch: [84] [ 60/458] learning_rate: 0.262428 loss_vfl: 1.314157 loss_bbox: 0.673073 loss_dfl: 0.498307 loss: 2.489814 eta: 23:13:53 batch_cost: 1.0784 data_cost: 0.0003 ips: 59.3451 images/s
[03/18 20:39:26] ppdet.engine INFO: Epoch: [84] [ 80/458] learning_rate: 0.262372 loss_vfl: 1.296718 loss_bbox: 0.653143 loss_dfl: 0.478494 loss: 2.429136 eta: 23:13:30 batch_cost: 0.7382 data_cost: 0.0032 ips: 86.7022 images/s
[03/18 20:39:46] ppdet.engine INFO: Epoch: [84] [100/458] learning_rate: 0.262315 loss_vfl: 1.310005 loss_bbox: 0.649010 loss_dfl: 0.483241 loss: 2.452533 eta: 23:13:13 batch_cost: 0.8363 data_cost: 0.0012 ips: 76.5255 images/s
[03/18 20:40:02] ppdet.engine INFO: Epoch: [84] [120/458] learning_rate: 0.262259 loss_vfl: 1.282895 loss_bbox: 0.612020 loss_dfl: 0.464163 loss: 2.359406 eta: 23:12:51 batch_cost: 0.7431 data_cost: 0.0037 ips: 86.1280 images/s
[03/18 20:40:19] ppdet.engine INFO: Epoch: [84] [140/458] learning_rate: 0.262202 loss_vfl: 1.360135 loss_bbox: 0.654698 loss_dfl: 0.493205 loss: 2.500508 eta: 23:12:28 batch_cost: 0.7316 data_cost: 0.0013 ips: 87.4846 images/s
[03/18 20:40:34] ppdet.engine INFO: Epoch: [84] [160/458] learning_rate: 0.262146 loss_vfl: 1.328090 loss_bbox: 0.650196 loss_dfl: 0.490710 loss: 2.477927 eta: 23:12:02 batch_cost: 0.6673 data_cost: 0.0027 ips: 95.9111 images/s
[03/18 20:40:53] ppdet.engine INFO: Epoch: [84] [180/458] learning_rate: 0.262090 loss_vfl: 1.292949 loss_bbox: 0.644024 loss_dfl: 0.481867 loss: 2.434274 eta: 23:11:46 batch_cost: 0.8702 data_cost: 0.0003 ips: 73.5505 images/s
[03/18 20:41:12] ppdet.engine INFO: Epoch: [84] [200/458] learning_rate: 0.262033 loss_vfl: 1.260763 loss_bbox: 0.636941 loss_dfl: 0.465795 loss: 2.352108 eta: 23:11:30 batch_cost: 0.8552 data_cost: 0.0035 ips: 74.8332 images/s
[03/18 20:41:32] ppdet.engine INFO: Epoch: [84] [220/458] learning_rate: 0.261977 loss_vfl: 1.271428 loss_bbox: 0.632978 loss_dfl: 0.482374 loss: 2.383816 eta: 23:11:16 batch_cost: 0.9075 data_cost: 0.0003 ips: 70.5258 images/s
[03/18 20:41:53] ppdet.engine INFO: Epoch: [84] [240/458] learning_rate: 0.261920 loss_vfl: 1.229336 loss_bbox: 0.598531 loss_dfl: 0.449600 loss: 2.273820 eta: 23:11:04 batch_cost: 0.9437 data_cost: 0.0011 ips: 67.8190 images/s
[03/18 20:42:11] ppdet.engine INFO: Epoch: [84] [260/458] learning_rate: 0.261863 loss_vfl: 1.274471 loss_bbox: 0.643389 loss_dfl: 0.477504 loss: 2.411857 eta: 23:10:44 batch_cost: 0.7784 data_cost: 0.0012 ips: 82.2208 images/s
[03/18 20:42:31] ppdet.engine INFO: Epoch: [84] [280/458] learning_rate: 0.261807 loss_vfl: 1.242546 loss_bbox: 0.643943 loss_dfl: 0.478691 loss: 2.367814 eta: 23:10:30 batch_cost: 0.8956 data_cost: 0.0059 ips: 71.4615 images/s
[03/18 20:42:51] ppdet.engine INFO: Epoch: [84] [300/458] learning_rate: 0.261750 loss_vfl: 1.270259 loss_bbox: 0.643312 loss_dfl: 0.480032 loss: 2.357755 eta: 23:10:14 batch_cost: 0.8726 data_cost: 0.0025 ips: 73.3470 images/s
[03/18 20:43:08] ppdet.engine INFO: Epoch: [84] [320/458] learning_rate: 0.261694 loss_vfl: 1.269957 loss_bbox: 0.665804 loss_dfl: 0.481719 loss: 2.430343 eta: 23:09:54 batch_cost: 0.7900 data_cost: 0.0012 ips: 81.0177 images/s
[03/18 20:43:31] ppdet.engine INFO: Epoch: [84] [340/458] learning_rate: 0.261637 loss_vfl: 1.375838 loss_bbox: 0.710241 loss_dfl: 0.518147 loss: 2.644040 eta: 23:09:45 batch_cost: 0.9948 data_cost: 0.0054 ips: 64.3374 images/s
[03/18 20:43:50] ppdet.engine INFO: Epoch: [84] [360/458] learning_rate: 0.261580 loss_vfl: 1.294483 loss_bbox: 0.640683 loss_dfl: 0.481642 loss: 2.410019 eta: 23:09:28 batch_cost: 0.8493 data_cost: 0.0009 ips: 75.3559 images/s
[03/18 20:44:09] ppdet.engine INFO: Epoch: [84] [380/458] learning_rate: 0.261524 loss_vfl: 1.248273 loss_bbox: 0.602812 loss_dfl: 0.455812 loss: 2.288682 eta: 23:09:12 batch_cost: 0.8610 data_cost: 0.0015 ips: 74.3362 images/s
[03/18 20:44:28] ppdet.engine INFO: Epoch: [84] [400/458] learning_rate: 0.261467 loss_vfl: 1.256245 loss_bbox: 0.655112 loss_dfl: 0.484637 loss: 2.380384 eta: 23:08:57 batch_cost: 0.8767 data_cost: 0.0055 ips: 73.0038 images/s
[03/18 20:44:46] ppdet.engine INFO: Epoch: [84] [420/458] learning_rate: 0.261410 loss_vfl: 1.241136 loss_bbox: 0.630065 loss_dfl: 0.461474 loss: 2.322610 eta: 23:08:39 batch_cost: 0.8221 data_cost: 0.0015 ips: 77.8507 images/s
[03/18 20:45:07] ppdet.engine INFO: Epoch: [84] [440/458] learning_rate: 0.261354 loss_vfl: 1.260599 loss_bbox: 0.658214 loss_dfl: 0.479579 loss: 2.372730 eta: 23:08:26 batch_cost: 0.9259 data_cost: 0.0007 ips: 69.1229 images/s
[03/18 20:45:30] ppdet.engine INFO: Epoch: [85] [  0/458] learning_rate: 0.261303 loss_vfl: 1.285643 loss_bbox: 0.626871 loss_dfl: 0.461715 loss: 2.345510 eta: 23:08:27 batch_cost: 1.1446 data_cost: 0.3071 ips: 55.9164 images/s
[03/18 20:45:52] ppdet.engine INFO: Epoch: [85] [ 20/458] learning_rate: 0.261246 loss_vfl: 1.315002 loss_bbox: 0.682712 loss_dfl: 0.511262 loss: 2.497787 eta: 23:08:15 batch_cost: 0.9571 data_cost: 0.2913 ips: 66.8673 images/s
[03/18 20:46:12] ppdet.engine INFO: Epoch: [85] [ 40/458] learning_rate: 0.261189 loss_vfl: 1.343080 loss_bbox: 0.657244 loss_dfl: 0.508597 loss: 2.512386 eta: 23:07:55 batch_cost: 0.7874 data_cost: 0.2262 ips: 81.2759 images/s
[03/18 20:46:32] ppdet.engine INFO: Epoch: [85] [ 60/458] learning_rate: 0.261132 loss_vfl: 1.214385 loss_bbox: 0.618924 loss_dfl: 0.473190 loss: 2.306742 eta: 23:07:42 batch_cost: 0.9204 data_cost: 0.4799 ips: 69.5322 images/s
[03/18 20:46:54] ppdet.engine INFO: Epoch: [85] [ 80/458] learning_rate: 0.261075 loss_vfl: 1.268812 loss_bbox: 0.641550 loss_dfl: 0.486604 loss: 2.423039 eta: 23:07:31 batch_cost: 0.9516 data_cost: 0.3314 ips: 67.2536 images/s
[03/18 20:47:10] ppdet.engine INFO: Epoch: [85] [100/458] learning_rate: 0.261019 loss_vfl: 1.238742 loss_bbox: 0.641167 loss_dfl: 0.474965 loss: 2.354020 eta: 23:07:06 batch_cost: 0.6938 data_cost: 0.1889 ips: 92.2405 images/s
[03/18 20:47:26] ppdet.engine INFO: Epoch: [85] [120/458] learning_rate: 0.260962 loss_vfl: 1.278314 loss_bbox: 0.637980 loss_dfl: 0.478401 loss: 2.385753 eta: 23:06:39 batch_cost: 0.6525 data_cost: 0.1464 ips: 98.0914 images/s
[03/18 20:47:46] ppdet.engine INFO: Epoch: [85] [140/458] learning_rate: 0.260905 loss_vfl: 1.319905 loss_bbox: 0.634821 loss_dfl: 0.481831 loss: 2.460612 eta: 23:06:26 batch_cost: 0.9216 data_cost: 0.0369 ips: 69.4425 images/s
[03/18 20:48:08] ppdet.engine INFO: Epoch: [85] [160/458] learning_rate: 0.260848 loss_vfl: 1.276028 loss_bbox: 0.634154 loss_dfl: 0.470634 loss: 2.361319 eta: 23:06:17 batch_cost: 0.9964 data_cost: 0.1001 ips: 64.2332 images/s
[03/18 20:48:28] ppdet.engine INFO: Epoch: [85] [180/458] learning_rate: 0.260791 loss_vfl: 1.275811 loss_bbox: 0.649993 loss_dfl: 0.486881 loss: 2.381337 eta: 23:06:03 batch_cost: 0.9143 data_cost: 0.2663 ips: 70.0013 images/s
[03/18 20:48:52] ppdet.engine INFO: Epoch: [85] [200/458] learning_rate: 0.260734 loss_vfl: 1.305974 loss_bbox: 0.610767 loss_dfl: 0.459331 loss: 2.358812 eta: 23:05:58 batch_cost: 1.0813 data_cost: 0.5185 ips: 59.1903 images/s
[03/18 20:49:13] ppdet.engine INFO: Epoch: [85] [220/458] learning_rate: 0.260677 loss_vfl: 1.283723 loss_bbox: 0.642877 loss_dfl: 0.473355 loss: 2.365124 eta: 23:05:48 batch_cost: 0.9880 data_cost: 0.5717 ips: 64.7777 images/s
[03/18 20:49:32] ppdet.engine INFO: Epoch: [85] [240/458] learning_rate: 0.260620 loss_vfl: 1.288667 loss_bbox: 0.634534 loss_dfl: 0.470673 loss: 2.417021 eta: 23:05:34 batch_cost: 0.8949 data_cost: 0.4002 ips: 71.5168 images/s
[03/18 20:49:54] ppdet.engine INFO: Epoch: [85] [260/458] learning_rate: 0.260563 loss_vfl: 1.253911 loss_bbox: 0.628854 loss_dfl: 0.475145 loss: 2.336230 eta: 23:05:24 batch_cost: 0.9911 data_cost: 0.3560 ips: 64.5752 images/s
[03/18 20:50:12] ppdet.engine INFO: Epoch: [85] [280/458] learning_rate: 0.260506 loss_vfl: 1.264874 loss_bbox: 0.650649 loss_dfl: 0.479043 loss: 2.391084 eta: 23:05:07 batch_cost: 0.8357 data_cost: 0.0031 ips: 76.5848 images/s
[03/18 20:50:34] ppdet.engine INFO: Epoch: [85] [300/458] learning_rate: 0.260449 loss_vfl: 1.258065 loss_bbox: 0.609508 loss_dfl: 0.456238 loss: 2.310877 eta: 23:04:57 batch_cost: 0.9845 data_cost: 0.0536 ips: 65.0054 images/s
[03/18 20:50:53] ppdet.engine INFO: Epoch: [85] [320/458] learning_rate: 0.260392 loss_vfl: 1.255860 loss_bbox: 0.624802 loss_dfl: 0.474604 loss: 2.381360 eta: 23:04:41 batch_cost: 0.8676 data_cost: 0.2774 ips: 73.7669 images/s
[03/18 20:51:17] ppdet.engine INFO: Epoch: [85] [340/458] learning_rate: 0.260335 loss_vfl: 1.186641 loss_bbox: 0.585885 loss_dfl: 0.448401 loss: 2.250926 eta: 23:04:37 batch_cost: 1.1151 data_cost: 0.1875 ips: 57.3931 images/s
[03/18 20:51:38] ppdet.engine INFO: Epoch: [85] [360/458] learning_rate: 0.260278 loss_vfl: 1.210141 loss_bbox: 0.609815 loss_dfl: 0.456467 loss: 2.258434 eta: 23:04:23 batch_cost: 0.9016 data_cost: 0.0004 ips: 70.9814 images/s
[03/18 20:52:00] ppdet.engine INFO: Epoch: [85] [380/458] learning_rate: 0.260220 loss_vfl: 1.237044 loss_bbox: 0.623823 loss_dfl: 0.466087 loss: 2.315713 eta: 23:04:15 batch_cost: 1.0218 data_cost: 0.0832 ips: 62.6330 images/s
[03/18 20:52:21] ppdet.engine INFO: Epoch: [85] [400/458] learning_rate: 0.260163 loss_vfl: 1.259064 loss_bbox: 0.633331 loss_dfl: 0.471506 loss: 2.347759 eta: 23:04:05 batch_cost: 0.9883 data_cost: 0.2007 ips: 64.7596 images/s
[03/18 20:52:40] ppdet.engine INFO: Epoch: [85] [420/458] learning_rate: 0.260106 loss_vfl: 1.284961 loss_bbox: 0.681592 loss_dfl: 0.513204 loss: 2.503106 eta: 23:03:47 batch_cost: 0.8270 data_cost: 0.0708 ips: 77.3910 images/s
[03/18 20:53:03] ppdet.engine INFO: Epoch: [85] [440/458] learning_rate: 0.260049 loss_vfl: 1.248461 loss_bbox: 0.609539 loss_dfl: 0.460850 loss: 2.327395 eta: 23:03:42 batch_cost: 1.0849 data_cost: 0.5476 ips: 58.9904 images/s
[03/18 20:53:23] ppdet.engine INFO: Epoch: [86] [  0/458] learning_rate: 0.259997 loss_vfl: 1.276700 loss_bbox: 0.655464 loss_dfl: 0.478376 loss: 2.402317 eta: 23:03:33 batch_cost: 0.9458 data_cost: 0.4136 ips: 67.6670 images/s
[03/18 20:53:43] ppdet.engine INFO: Epoch: [86] [ 20/458] learning_rate: 0.259940 loss_vfl: 1.303872 loss_bbox: 0.668684 loss_dfl: 0.500445 loss: 2.489002 eta: 23:03:15 batch_cost: 0.8250 data_cost: 0.0838 ips: 77.5765 images/s
[03/18 20:53:59] ppdet.engine INFO: Epoch: [86] [ 40/458] learning_rate: 0.259883 loss_vfl: 1.300436 loss_bbox: 0.622564 loss_dfl: 0.473115 loss: 2.370293 eta: 23:02:50 batch_cost: 0.7011 data_cost: 0.0200 ips: 91.2911 images/s
[03/18 20:54:14] ppdet.engine INFO: Epoch: [86] [ 60/458] learning_rate: 0.259826 loss_vfl: 1.216304 loss_bbox: 0.620566 loss_dfl: 0.474597 loss: 2.352935 eta: 23:02:24 batch_cost: 0.6580 data_cost: 0.1287 ips: 97.2614 images/s
[03/18 20:54:30] ppdet.engine INFO: Epoch: [86] [ 80/458] learning_rate: 0.259768 loss_vfl: 1.243743 loss_bbox: 0.591738 loss_dfl: 0.453883 loss: 2.284086 eta: 23:02:00 batch_cost: 0.7103 data_cost: 0.0660 ips: 90.1067 images/s
[03/18 20:54:50] ppdet.engine INFO: Epoch: [86] [100/458] learning_rate: 0.259711 loss_vfl: 1.333987 loss_bbox: 0.656558 loss_dfl: 0.491741 loss: 2.497240 eta: 23:01:46 batch_cost: 0.9000 data_cost: 0.1125 ips: 71.1088 images/s
[03/18 20:55:10] ppdet.engine INFO: Epoch: [86] [120/458] learning_rate: 0.259654 loss_vfl: 1.350315 loss_bbox: 0.671278 loss_dfl: 0.507106 loss: 2.540036 eta: 23:01:30 batch_cost: 0.8549 data_cost: 0.2642 ips: 74.8625 images/s
[03/18 20:55:29] ppdet.engine INFO: Epoch: [86] [140/458] learning_rate: 0.259596 loss_vfl: 1.239280 loss_bbox: 0.611061 loss_dfl: 0.464199 loss: 2.332489 eta: 23:01:11 batch_cost: 0.8217 data_cost: 0.0459 ips: 77.8860 images/s
[03/18 20:55:46] ppdet.engine INFO: Epoch: [86] [160/458] learning_rate: 0.259539 loss_vfl: 1.316498 loss_bbox: 0.661983 loss_dfl: 0.489402 loss: 2.480901 eta: 23:00:49 batch_cost: 0.7289 data_cost: 0.0604 ips: 87.8022 images/s
[03/18 20:56:07] ppdet.engine INFO: Epoch: [86] [180/458] learning_rate: 0.259481 loss_vfl: 1.278257 loss_bbox: 0.615198 loss_dfl: 0.470831 loss: 2.392457 eta: 23:00:33 batch_cost: 0.8674 data_cost: 0.0748 ips: 73.7840 images/s
[03/18 20:56:25] ppdet.engine INFO: Epoch: [86] [200/458] learning_rate: 0.259424 loss_vfl: 1.291286 loss_bbox: 0.659969 loss_dfl: 0.475581 loss: 2.431418 eta: 23:00:11 batch_cost: 0.7544 data_cost: 0.0044 ips: 84.8381 images/s
[03/18 20:56:43] ppdet.engine INFO: Epoch: [86] [220/458] learning_rate: 0.259366 loss_vfl: 1.383999 loss_bbox: 0.686094 loss_dfl: 0.506849 loss: 2.538196 eta: 22:59:51 batch_cost: 0.7741 data_cost: 0.0022 ips: 82.6720 images/s
[03/18 20:57:04] ppdet.engine INFO: Epoch: [86] [240/458] learning_rate: 0.259309 loss_vfl: 1.300834 loss_bbox: 0.645993 loss_dfl: 0.479830 loss: 2.429197 eta: 22:59:36 batch_cost: 0.8972 data_cost: 0.0908 ips: 71.3313 images/s
[03/18 20:57:24] ppdet.engine INFO: Epoch: [86] [260/458] learning_rate: 0.259251 loss_vfl: 1.310340 loss_bbox: 0.621690 loss_dfl: 0.471398 loss: 2.390220 eta: 22:59:21 batch_cost: 0.8707 data_cost: 0.3321 ips: 73.5032 images/s
[03/18 20:57:43] ppdet.engine INFO: Epoch: [86] [280/458] learning_rate: 0.259194 loss_vfl: 1.278045 loss_bbox: 0.642816 loss_dfl: 0.483167 loss: 2.434798 eta: 22:59:03 batch_cost: 0.8430 data_cost: 0.2386 ips: 75.9224 images/s
[03/18 20:58:00] ppdet.engine INFO: Epoch: [86] [300/458] learning_rate: 0.259136 loss_vfl: 1.259811 loss_bbox: 0.604981 loss_dfl: 0.457886 loss: 2.286494 eta: 22:58:42 batch_cost: 0.7638 data_cost: 0.1785 ips: 83.7899 images/s
[03/18 20:58:17] ppdet.engine INFO: Epoch: [86] [320/458] learning_rate: 0.259079 loss_vfl: 1.240338 loss_bbox: 0.607095 loss_dfl: 0.463207 loss: 2.337950 eta: 22:58:21 batch_cost: 0.7651 data_cost: 0.1751 ips: 83.6542 images/s
[03/18 20:58:40] ppdet.engine INFO: Epoch: [86] [340/458] learning_rate: 0.259021 loss_vfl: 1.359264 loss_bbox: 0.695383 loss_dfl: 0.508474 loss: 2.531281 eta: 22:58:13 batch_cost: 1.0138 data_cost: 0.4630 ips: 63.1303 images/s
[03/18 20:59:01] ppdet.engine INFO: Epoch: [86] [360/458] learning_rate: 0.258964 loss_vfl: 1.327016 loss_bbox: 0.688987 loss_dfl: 0.507433 loss: 2.507557 eta: 22:58:00 batch_cost: 0.9394 data_cost: 0.4621 ips: 68.1320 images/s
[03/18 20:59:19] ppdet.engine INFO: Epoch: [86] [380/458] learning_rate: 0.258906 loss_vfl: 1.223444 loss_bbox: 0.624008 loss_dfl: 0.452217 loss: 2.289224 eta: 22:57:41 batch_cost: 0.7879 data_cost: 0.1701 ips: 81.2337 images/s
[03/18 20:59:39] ppdet.engine INFO: Epoch: [86] [400/458] learning_rate: 0.258848 loss_vfl: 1.307796 loss_bbox: 0.623059 loss_dfl: 0.466438 loss: 2.397609 eta: 22:57:25 batch_cost: 0.8677 data_cost: 0.3015 ips: 73.7561 images/s
[03/18 20:59:58] ppdet.engine INFO: Epoch: [86] [420/458] learning_rate: 0.258791 loss_vfl: 1.239006 loss_bbox: 0.618211 loss_dfl: 0.476061 loss: 2.366327 eta: 22:57:07 batch_cost: 0.8278 data_cost: 0.3005 ips: 77.3179 images/s
[03/18 21:00:18] ppdet.engine INFO: Epoch: [86] [440/458] learning_rate: 0.258733 loss_vfl: 1.291394 loss_bbox: 0.636800 loss_dfl: 0.472922 loss: 2.372454 eta: 22:56:50 batch_cost: 0.8550 data_cost: 0.3260 ips: 74.8522 images/s
[03/18 21:00:39] ppdet.engine INFO: Epoch: [87] [  0/458] learning_rate: 0.258681 loss_vfl: 1.206878 loss_bbox: 0.585301 loss_dfl: 0.447659 loss: 2.235653 eta: 22:56:44 batch_cost: 0.9979 data_cost: 0.3937 ips: 64.1337 images/s
[03/18 21:00:58] ppdet.engine INFO: Epoch: [87] [ 20/458] learning_rate: 0.258623 loss_vfl: 1.199781 loss_bbox: 0.586702 loss_dfl: 0.448360 loss: 2.229218 eta: 22:56:21 batch_cost: 0.7288 data_cost: 0.0067 ips: 87.8193 images/s
[03/18 21:01:16] ppdet.engine INFO: Epoch: [87] [ 40/458] learning_rate: 0.258566 loss_vfl: 1.282917 loss_bbox: 0.631946 loss_dfl: 0.486213 loss: 2.403034 eta: 22:55:58 batch_cost: 0.7192 data_cost: 0.0604 ips: 88.9867 images/s
[03/18 21:01:33] ppdet.engine INFO: Epoch: [87] [ 60/458] learning_rate: 0.258508 loss_vfl: 1.237578 loss_bbox: 0.601437 loss_dfl: 0.460457 loss: 2.304797 eta: 22:55:37 batch_cost: 0.7683 data_cost: 0.0691 ips: 83.3056 images/s
[03/18 21:01:48] ppdet.engine INFO: Epoch: [87] [ 80/458] learning_rate: 0.258450 loss_vfl: 1.317019 loss_bbox: 0.676125 loss_dfl: 0.507262 loss: 2.515468 eta: 22:55:10 batch_cost: 0.6356 data_cost: 0.0025 ips: 100.6989 images/s
[03/18 21:02:04] ppdet.engine INFO: Epoch: [87] [100/458] learning_rate: 0.258392 loss_vfl: 1.277411 loss_bbox: 0.626799 loss_dfl: 0.471367 loss: 2.374141 eta: 22:54:48 batch_cost: 0.7308 data_cost: 0.1203 ips: 87.5798 images/s
[03/18 21:02:25] ppdet.engine INFO: Epoch: [87] [120/458] learning_rate: 0.258334 loss_vfl: 1.239606 loss_bbox: 0.612276 loss_dfl: 0.463877 loss: 2.309393 eta: 22:54:32 batch_cost: 0.8725 data_cost: 0.2552 ips: 73.3555 images/s
[03/18 21:02:43] ppdet.engine INFO: Epoch: [87] [140/458] learning_rate: 0.258276 loss_vfl: 1.264190 loss_bbox: 0.636528 loss_dfl: 0.469924 loss: 2.339278 eta: 22:54:13 batch_cost: 0.7982 data_cost: 0.1953 ips: 80.1829 images/s
[03/18 21:03:04] ppdet.engine INFO: Epoch: [87] [160/458] learning_rate: 0.258219 loss_vfl: 1.322412 loss_bbox: 0.659736 loss_dfl: 0.501677 loss: 2.500582 eta: 22:53:59 batch_cost: 0.9213 data_cost: 0.3753 ips: 69.4653 images/s
[03/18 21:03:23] ppdet.engine INFO: Epoch: [87] [180/458] learning_rate: 0.258161 loss_vfl: 1.282325 loss_bbox: 0.667486 loss_dfl: 0.491484 loss: 2.490023 eta: 22:53:40 batch_cost: 0.8014 data_cost: 0.2970 ips: 79.8582 images/s
[03/18 21:03:40] ppdet.engine INFO: Epoch: [87] [200/458] learning_rate: 0.258103 loss_vfl: 1.223997 loss_bbox: 0.633797 loss_dfl: 0.469382 loss: 2.322667 eta: 22:53:19 batch_cost: 0.7525 data_cost: 0.1807 ips: 85.0488 images/s
[03/18 21:04:01] ppdet.engine INFO: Epoch: [87] [220/458] learning_rate: 0.258045 loss_vfl: 1.314912 loss_bbox: 0.617847 loss_dfl: 0.477528 loss: 2.386454 eta: 22:53:05 batch_cost: 0.9089 data_cost: 0.3866 ips: 70.4115 images/s
[03/18 21:04:19] ppdet.engine INFO: Epoch: [87] [240/458] learning_rate: 0.257987 loss_vfl: 1.300945 loss_bbox: 0.657966 loss_dfl: 0.485078 loss: 2.427979 eta: 22:52:45 batch_cost: 0.7874 data_cost: 0.2965 ips: 81.2798 images/s
[03/18 21:04:38] ppdet.engine INFO: Epoch: [87] [260/458] learning_rate: 0.257929 loss_vfl: 1.278681 loss_bbox: 0.678365 loss_dfl: 0.488947 loss: 2.415691 eta: 22:52:29 batch_cost: 0.8656 data_cost: 0.2957 ips: 73.9335 images/s
[03/18 21:05:00] ppdet.engine INFO: Epoch: [87] [280/458] learning_rate: 0.257871 loss_vfl: 1.283993 loss_bbox: 0.665407 loss_dfl: 0.486525 loss: 2.426231 eta: 22:52:16 batch_cost: 0.9214 data_cost: 0.1455 ips: 69.4591 images/s
[03/18 21:05:19] ppdet.engine INFO: Epoch: [87] [300/458] learning_rate: 0.257813 loss_vfl: 1.213012 loss_bbox: 0.604546 loss_dfl: 0.446928 loss: 2.263757 eta: 22:51:59 batch_cost: 0.8594 data_cost: 0.0023 ips: 74.4676 images/s
[03/18 21:05:37] ppdet.engine INFO: Epoch: [87] [320/458] learning_rate: 0.257755 loss_vfl: 1.308868 loss_bbox: 0.644063 loss_dfl: 0.480637 loss: 2.427943 eta: 22:51:40 batch_cost: 0.7914 data_cost: 0.0216 ips: 80.8646 images/s
[03/18 21:05:57] ppdet.engine INFO: Epoch: [87] [340/458] learning_rate: 0.257697 loss_vfl: 1.277541 loss_bbox: 0.622869 loss_dfl: 0.473577 loss: 2.422269 eta: 22:51:25 batch_cost: 0.8880 data_cost: 0.0184 ips: 72.0717 images/s
[03/18 21:06:16] ppdet.engine INFO: Epoch: [87] [360/458] learning_rate: 0.257639 loss_vfl: 1.291969 loss_bbox: 0.639812 loss_dfl: 0.487871 loss: 2.423500 eta: 22:51:07 batch_cost: 0.8295 data_cost: 0.0042 ips: 77.1512 images/s
[03/18 21:06:35] ppdet.engine INFO: Epoch: [87] [380/458] learning_rate: 0.257581 loss_vfl: 1.270465 loss_bbox: 0.641495 loss_dfl: 0.477000 loss: 2.431997 eta: 22:50:50 batch_cost: 0.8318 data_cost: 0.0266 ips: 76.9391 images/s
[03/18 21:06:56] ppdet.engine INFO: Epoch: [87] [400/458] learning_rate: 0.257522 loss_vfl: 1.285576 loss_bbox: 0.639620 loss_dfl: 0.472105 loss: 2.371526 eta: 22:50:37 batch_cost: 0.9306 data_cost: 0.0052 ips: 68.7701 images/s
[03/18 21:07:16] ppdet.engine INFO: Epoch: [87] [420/458] learning_rate: 0.257464 loss_vfl: 1.271990 loss_bbox: 0.651849 loss_dfl: 0.479788 loss: 2.423440 eta: 22:50:21 batch_cost: 0.8786 data_cost: 0.0015 ips: 72.8470 images/s
[03/18 21:07:34] ppdet.engine INFO: Epoch: [87] [440/458] learning_rate: 0.257406 loss_vfl: 1.296191 loss_bbox: 0.648581 loss_dfl: 0.481621 loss: 2.373379 eta: 22:49:59 batch_cost: 0.7330 data_cost: 0.0023 ips: 87.3097 images/s
[03/18 21:07:56] ppdet.engine INFO: Epoch: [88] [  0/458] learning_rate: 0.257354 loss_vfl: 1.258684 loss_bbox: 0.650621 loss_dfl: 0.476737 loss: 2.401064 eta: 22:49:54 batch_cost: 1.0280 data_cost: 0.2725 ips: 62.2577 images/s
[03/18 21:08:19] ppdet.engine INFO: Epoch: [88] [ 20/458] learning_rate: 0.257296 loss_vfl: 1.286927 loss_bbox: 0.631837 loss_dfl: 0.476662 loss: 2.378536 eta: 22:49:44 batch_cost: 0.9874 data_cost: 0.0107 ips: 64.8158 images/s
[03/18 21:08:37] ppdet.engine INFO: Epoch: [88] [ 40/458] learning_rate: 0.257237 loss_vfl: 1.308343 loss_bbox: 0.645955 loss_dfl: 0.491142 loss: 2.488950 eta: 22:49:22 batch_cost: 0.7617 data_cost: 0.0027 ips: 84.0246 images/s
[03/18 21:08:52] ppdet.engine INFO: Epoch: [88] [ 60/458] learning_rate: 0.257179 loss_vfl: 1.266604 loss_bbox: 0.641708 loss_dfl: 0.476096 loss: 2.355876 eta: 22:48:56 batch_cost: 0.6435 data_cost: 0.0069 ips: 99.4624 images/s
[03/18 21:09:07] ppdet.engine INFO: Epoch: [88] [ 80/458] learning_rate: 0.257121 loss_vfl: 1.271173 loss_bbox: 0.639389 loss_dfl: 0.483270 loss: 2.406042 eta: 22:48:30 batch_cost: 0.6548 data_cost: 0.0076 ips: 97.7444 images/s
[03/18 21:09:23] ppdet.engine INFO: Epoch: [88] [100/458] learning_rate: 0.257063 loss_vfl: 1.273179 loss_bbox: 0.622857 loss_dfl: 0.480644 loss: 2.389125 eta: 22:48:04 batch_cost: 0.6681 data_cost: 0.0494 ips: 95.7920 images/s
[03/18 21:09:45] ppdet.engine INFO: Epoch: [88] [120/458] learning_rate: 0.257004 loss_vfl: 1.191382 loss_bbox: 0.608513 loss_dfl: 0.458135 loss: 2.271111 eta: 22:47:53 batch_cost: 0.9687 data_cost: 0.1301 ips: 66.0666 images/s
[03/18 21:10:04] ppdet.engine INFO: Epoch: [88] [140/458] learning_rate: 0.256946 loss_vfl: 1.294858 loss_bbox: 0.621144 loss_dfl: 0.474301 loss: 2.394169 eta: 22:47:32 batch_cost: 0.7496 data_cost: 0.0836 ips: 85.3774 images/s
[03/18 21:10:25] ppdet.engine INFO: Epoch: [88] [160/458] learning_rate: 0.256888 loss_vfl: 1.286793 loss_bbox: 0.637929 loss_dfl: 0.477257 loss: 2.349504 eta: 22:47:17 batch_cost: 0.8900 data_cost: 0.1431 ips: 71.9136 images/s
[03/18 21:10:45] ppdet.engine INFO: Epoch: [88] [180/458] learning_rate: 0.256829 loss_vfl: 1.280057 loss_bbox: 0.632542 loss_dfl: 0.474043 loss: 2.378814 eta: 22:47:00 batch_cost: 0.8484 data_cost: 0.1729 ips: 75.4375 images/s
[03/18 21:11:07] ppdet.engine INFO: Epoch: [88] [200/458] learning_rate: 0.256771 loss_vfl: 1.287782 loss_bbox: 0.627954 loss_dfl: 0.473297 loss: 2.377087 eta: 22:46:48 batch_cost: 0.9508 data_cost: 0.3281 ips: 67.3087 images/s
[03/18 21:11:26] ppdet.engine INFO: Epoch: [88] [220/458] learning_rate: 0.256712 loss_vfl: 1.306802 loss_bbox: 0.645674 loss_dfl: 0.484320 loss: 2.451312 eta: 22:46:30 batch_cost: 0.8225 data_cost: 0.1850 ips: 77.8139 images/s
[03/18 21:11:45] ppdet.engine INFO: Epoch: [88] [240/458] learning_rate: 0.256654 loss_vfl: 1.262172 loss_bbox: 0.612825 loss_dfl: 0.461416 loss: 2.339886 eta: 22:46:12 batch_cost: 0.8171 data_cost: 0.1766 ips: 78.3248 images/s
[03/18 21:12:03] ppdet.engine INFO: Epoch: [88] [260/458] learning_rate: 0.256596 loss_vfl: 1.242537 loss_bbox: 0.622246 loss_dfl: 0.463999 loss: 2.333452 eta: 22:45:53 batch_cost: 0.8111 data_cost: 0.1159 ips: 78.9061 images/s
[03/18 21:12:22] ppdet.engine INFO: Epoch: [88] [280/458] learning_rate: 0.256537 loss_vfl: 1.312210 loss_bbox: 0.675276 loss_dfl: 0.499531 loss: 2.466646 eta: 22:45:34 batch_cost: 0.7932 data_cost: 0.0961 ips: 80.6885 images/s
[03/18 21:12:43] ppdet.engine INFO: Epoch: [88] [300/458] learning_rate: 0.256479 loss_vfl: 1.272295 loss_bbox: 0.611000 loss_dfl: 0.458813 loss: 2.411569 eta: 22:45:20 batch_cost: 0.9243 data_cost: 0.0025 ips: 69.2378 images/s
[03/18 21:13:02] ppdet.engine INFO: Epoch: [88] [320/458] learning_rate: 0.256420 loss_vfl: 1.267798 loss_bbox: 0.625761 loss_dfl: 0.471155 loss: 2.360739 eta: 22:45:02 batch_cost: 0.8074 data_cost: 0.0734 ips: 79.2677 images/s
[03/18 21:13:20] ppdet.engine INFO: Epoch: [88] [340/458] learning_rate: 0.256362 loss_vfl: 1.261755 loss_bbox: 0.614435 loss_dfl: 0.466457 loss: 2.317984 eta: 22:44:40 batch_cost: 0.7536 data_cost: 0.0396 ips: 84.9261 images/s
[03/18 21:13:40] ppdet.engine INFO: Epoch: [88] [360/458] learning_rate: 0.256303 loss_vfl: 1.314766 loss_bbox: 0.660129 loss_dfl: 0.483049 loss: 2.462882 eta: 22:44:23 batch_cost: 0.8393 data_cost: 0.0035 ips: 76.2525 images/s
[03/18 21:13:59] ppdet.engine INFO: Epoch: [88] [380/458] learning_rate: 0.256245 loss_vfl: 1.255067 loss_bbox: 0.666136 loss_dfl: 0.483867 loss: 2.404329 eta: 22:44:06 batch_cost: 0.8493 data_cost: 0.0016 ips: 75.3524 images/s
[03/18 21:14:17] ppdet.engine INFO: Epoch: [88] [400/458] learning_rate: 0.256186 loss_vfl: 1.295560 loss_bbox: 0.635407 loss_dfl: 0.488339 loss: 2.430833 eta: 22:43:46 batch_cost: 0.7844 data_cost: 0.0081 ips: 81.5928 images/s
[03/18 21:14:39] ppdet.engine INFO: Epoch: [88] [420/458] learning_rate: 0.256127 loss_vfl: 1.224646 loss_bbox: 0.585761 loss_dfl: 0.447872 loss: 2.324222 eta: 22:43:33 batch_cost: 0.9240 data_cost: 0.0047 ips: 69.2666 images/s
[03/18 21:14:57] ppdet.engine INFO: Epoch: [88] [440/458] learning_rate: 0.256069 loss_vfl: 1.259311 loss_bbox: 0.635449 loss_dfl: 0.473640 loss: 2.367256 eta: 22:43:13 batch_cost: 0.7753 data_cost: 0.0048 ips: 82.5460 images/s
[03/18 21:15:20] ppdet.engine INFO: Epoch: [89] [  0/458] learning_rate: 0.256016 loss_vfl: 1.254800 loss_bbox: 0.600551 loss_dfl: 0.453262 loss: 2.302755 eta: 22:43:08 batch_cost: 1.0546 data_cost: 0.4069 ips: 60.6864 images/s
[03/18 21:15:39] ppdet.engine INFO: Epoch: [89] [ 20/458] learning_rate: 0.255957 loss_vfl: 1.254694 loss_bbox: 0.607273 loss_dfl: 0.468677 loss: 2.336080 eta: 22:42:48 batch_cost: 0.7963 data_cost: 0.1299 ips: 80.3746 images/s
[03/18 21:15:57] ppdet.engine INFO: Epoch: [89] [ 40/458] learning_rate: 0.255899 loss_vfl: 1.354226 loss_bbox: 0.676687 loss_dfl: 0.504955 loss: 2.518770 eta: 22:42:23 batch_cost: 0.6779 data_cost: 0.0267 ips: 94.4121 images/s
[03/18 21:16:12] ppdet.engine INFO: Epoch: [89] [ 60/458] learning_rate: 0.255840 loss_vfl: 1.320810 loss_bbox: 0.662619 loss_dfl: 0.498104 loss: 2.488324 eta: 22:41:59 batch_cost: 0.6899 data_cost: 0.1136 ips: 92.7647 images/s
[03/18 21:16:27] ppdet.engine INFO: Epoch: [89] [ 80/458] learning_rate: 0.255781 loss_vfl: 1.257526 loss_bbox: 0.618172 loss_dfl: 0.467243 loss: 2.354844 eta: 22:41:33 batch_cost: 0.6427 data_cost: 0.0020 ips: 99.5821 images/s
[03/18 21:16:46] ppdet.engine INFO: Epoch: [89] [100/458] learning_rate: 0.255722 loss_vfl: 1.312903 loss_bbox: 0.620611 loss_dfl: 0.477193 loss: 2.431978 eta: 22:41:16 batch_cost: 0.8425 data_cost: 0.0279 ips: 75.9608 images/s
[03/18 21:17:06] ppdet.engine INFO: Epoch: [89] [120/458] learning_rate: 0.255664 loss_vfl: 1.288434 loss_bbox: 0.657237 loss_dfl: 0.482699 loss: 2.449724 eta: 22:41:02 batch_cost: 0.9118 data_cost: 0.0258 ips: 70.1913 images/s
[03/18 21:17:25] ppdet.engine INFO: Epoch: [89] [140/458] learning_rate: 0.255605 loss_vfl: 1.294731 loss_bbox: 0.618884 loss_dfl: 0.480510 loss: 2.400635 eta: 22:40:45 batch_cost: 0.8435 data_cost: 0.0262 ips: 75.8758 images/s
[03/18 21:17:45] ppdet.engine INFO: Epoch: [89] [160/458] learning_rate: 0.255546 loss_vfl: 1.246754 loss_bbox: 0.635302 loss_dfl: 0.481038 loss: 2.369928 eta: 22:40:29 batch_cost: 0.8730 data_cost: 0.2274 ips: 73.3105 images/s
[03/18 21:18:07] ppdet.engine INFO: Epoch: [89] [180/458] learning_rate: 0.255487 loss_vfl: 1.292372 loss_bbox: 0.628370 loss_dfl: 0.480746 loss: 2.395512 eta: 22:40:19 batch_cost: 0.9947 data_cost: 0.3732 ips: 64.3421 images/s
[03/18 21:18:24] ppdet.engine INFO: Epoch: [89] [200/458] learning_rate: 0.255428 loss_vfl: 1.252718 loss_bbox: 0.618960 loss_dfl: 0.451613 loss: 2.294199 eta: 22:39:57 batch_cost: 0.7458 data_cost: 0.1969 ips: 85.8092 images/s
[03/18 21:18:43] ppdet.engine INFO: Epoch: [89] [220/458] learning_rate: 0.255369 loss_vfl: 1.281527 loss_bbox: 0.648324 loss_dfl: 0.487127 loss: 2.436497 eta: 22:39:41 batch_cost: 0.8488 data_cost: 0.1597 ips: 75.4033 images/s
[03/18 21:19:02] ppdet.engine INFO: Epoch: [89] [240/458] learning_rate: 0.255311 loss_vfl: 1.270443 loss_bbox: 0.617405 loss_dfl: 0.463772 loss: 2.360843 eta: 22:39:22 batch_cost: 0.8130 data_cost: 0.1431 ips: 78.7186 images/s
[03/18 21:19:20] ppdet.engine INFO: Epoch: [89] [260/458] learning_rate: 0.255252 loss_vfl: 1.291539 loss_bbox: 0.634945 loss_dfl: 0.479060 loss: 2.381474 eta: 22:39:02 batch_cost: 0.7725 data_cost: 0.0076 ips: 82.8510 images/s
[03/18 21:19:37] ppdet.engine INFO: Epoch: [89] [280/458] learning_rate: 0.255193 loss_vfl: 1.308409 loss_bbox: 0.630206 loss_dfl: 0.471931 loss: 2.440828 eta: 22:38:42 batch_cost: 0.7845 data_cost: 0.1601 ips: 81.5824 images/s
[03/18 21:19:59] ppdet.engine INFO: Epoch: [89] [300/458] learning_rate: 0.255134 loss_vfl: 1.225866 loss_bbox: 0.583221 loss_dfl: 0.444117 loss: 2.284573 eta: 22:38:31 batch_cost: 0.9708 data_cost: 0.0058 ips: 65.9220 images/s
[03/18 21:20:16] ppdet.engine INFO: Epoch: [89] [320/458] learning_rate: 0.255075 loss_vfl: 1.339518 loss_bbox: 0.623178 loss_dfl: 0.481554 loss: 2.406532 eta: 22:38:08 batch_cost: 0.7292 data_cost: 0.0074 ips: 87.7703 images/s
[03/18 21:20:37] ppdet.engine INFO: Epoch: [89] [340/458] learning_rate: 0.255016 loss_vfl: 1.245982 loss_bbox: 0.648015 loss_dfl: 0.474642 loss: 2.318909 eta: 22:37:55 batch_cost: 0.9094 data_cost: 0.0032 ips: 70.3754 images/s
[03/18 21:20:54] ppdet.engine INFO: Epoch: [89] [360/458] learning_rate: 0.254957 loss_vfl: 1.304206 loss_bbox: 0.664307 loss_dfl: 0.500846 loss: 2.496570 eta: 22:37:34 batch_cost: 0.7652 data_cost: 0.1552 ips: 83.6416 images/s
[03/18 21:21:15] ppdet.engine INFO: Epoch: [89] [380/458] learning_rate: 0.254898 loss_vfl: 1.290119 loss_bbox: 0.647934 loss_dfl: 0.489209 loss: 2.468668 eta: 22:37:20 batch_cost: 0.9114 data_cost: 0.0273 ips: 70.2198 images/s
[03/18 21:21:34] ppdet.engine INFO: Epoch: [89] [400/458] learning_rate: 0.254839 loss_vfl: 1.329772 loss_bbox: 0.680914 loss_dfl: 0.510023 loss: 2.528166 eta: 22:37:02 batch_cost: 0.8306 data_cost: 0.0248 ips: 77.0543 images/s
[03/18 21:21:51] ppdet.engine INFO: Epoch: [89] [420/458] learning_rate: 0.254780 loss_vfl: 1.290447 loss_bbox: 0.678793 loss_dfl: 0.493690 loss: 2.440454 eta: 22:36:41 batch_cost: 0.7506 data_cost: 0.0843 ips: 85.2656 images/s
[03/18 21:22:11] ppdet.engine INFO: Epoch: [89] [440/458] learning_rate: 0.254721 loss_vfl: 1.285769 loss_bbox: 0.636649 loss_dfl: 0.474351 loss: 2.402228 eta: 22:36:27 batch_cost: 0.9145 data_cost: 0.0294 ips: 69.9830 images/s
[03/18 21:22:25] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 21:22:25] ppdet.engine INFO: Eval iter: 0
[03/18 21:22:44] ppdet.engine INFO: Eval iter: 100
[03/18 21:22:55] ppdet.engine INFO: Eval iter: 200
[03/18 21:23:06] ppdet.engine INFO: Eval iter: 300
[03/18 21:23:16] ppdet.engine INFO: Eval iter: 400
[03/18 21:23:26] ppdet.engine INFO: Eval iter: 500
[03/18 21:23:36] ppdet.engine INFO: Eval iter: 600
[03/18 21:23:50] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.93s)
creating index...
index created!
[03/18 21:23:51] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.27s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.62s).
Accumulating evaluation results...
DONE (t=15.82s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.194
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.307
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.201
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.057
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.183
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.342
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.214
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.342
 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 ] = 0.098
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.393
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.621
[03/18 21:25:30] ppdet.engine INFO: Total sample number: 4952, averge FPS: 68.11887678206563
[03/18 21:25:30] ppdet.engine INFO: Best test bbox ap is 0.194.
[03/18 21:25:30] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 21:25:31] ppdet.engine INFO: Epoch: [90] [  0/458] learning_rate: 0.254667 loss_vfl: 1.300277 loss_bbox: 0.621885 loss_dfl: 0.476093 loss: 2.414424 eta: 22:36:05 batch_cost: 0.6610 data_cost: 0.2261 ips: 96.8285 images/s
[03/18 21:25:45] ppdet.engine INFO: Epoch: [90] [ 20/458] learning_rate: 0.254608 loss_vfl: 1.234216 loss_bbox: 0.590678 loss_dfl: 0.440869 loss: 2.260964 eta: 22:35:36 batch_cost: 0.5849 data_cost: 0.0952 ips: 109.4118 images/s
[03/18 21:26:07] ppdet.engine INFO: Epoch: [90] [ 40/458] learning_rate: 0.254549 loss_vfl: 1.246122 loss_bbox: 0.652879 loss_dfl: 0.476953 loss: 2.396089 eta: 22:35:25 batch_cost: 0.9781 data_cost: 0.1238 ips: 65.4313 images/s
[03/18 21:26:25] ppdet.engine INFO: Epoch: [90] [ 60/458] learning_rate: 0.254490 loss_vfl: 1.260592 loss_bbox: 0.638061 loss_dfl: 0.469281 loss: 2.374233 eta: 22:35:06 batch_cost: 0.7820 data_cost: 0.0011 ips: 81.8433 images/s
[03/18 21:26:46] ppdet.engine INFO: Epoch: [90] [ 80/458] learning_rate: 0.254431 loss_vfl: 1.318911 loss_bbox: 0.634030 loss_dfl: 0.477122 loss: 2.451842 eta: 22:34:54 batch_cost: 0.9665 data_cost: 0.0032 ips: 66.2185 images/s
[03/18 21:27:02] ppdet.engine INFO: Epoch: [90] [100/458] learning_rate: 0.254372 loss_vfl: 1.225144 loss_bbox: 0.597752 loss_dfl: 0.454365 loss: 2.269490 eta: 22:34:28 batch_cost: 0.6461 data_cost: 0.0203 ips: 99.0600 images/s
[03/18 21:27:23] ppdet.engine INFO: Epoch: [90] [120/458] learning_rate: 0.254312 loss_vfl: 1.230436 loss_bbox: 0.628241 loss_dfl: 0.465708 loss: 2.324172 eta: 22:34:14 batch_cost: 0.9154 data_cost: 0.0302 ips: 69.9165 images/s
[03/18 21:27:44] ppdet.engine INFO: Epoch: [90] [140/458] learning_rate: 0.254253 loss_vfl: 1.279431 loss_bbox: 0.624359 loss_dfl: 0.467263 loss: 2.390954 eta: 22:34:02 batch_cost: 0.9533 data_cost: 0.0286 ips: 67.1321 images/s
[03/18 21:28:03] ppdet.engine INFO: Epoch: [90] [160/458] learning_rate: 0.254194 loss_vfl: 1.272709 loss_bbox: 0.633805 loss_dfl: 0.478485 loss: 2.383955 eta: 22:33:44 batch_cost: 0.8095 data_cost: 0.1118 ips: 79.0652 images/s
[03/18 21:28:24] ppdet.engine INFO: Epoch: [90] [180/458] learning_rate: 0.254135 loss_vfl: 1.265361 loss_bbox: 0.625358 loss_dfl: 0.473297 loss: 2.369501 eta: 22:33:32 batch_cost: 0.9562 data_cost: 0.3602 ips: 66.9325 images/s
[03/18 21:28:43] ppdet.engine INFO: Epoch: [90] [200/458] learning_rate: 0.254075 loss_vfl: 1.279141 loss_bbox: 0.645949 loss_dfl: 0.475558 loss: 2.406267 eta: 22:33:16 batch_cost: 0.8699 data_cost: 0.3433 ips: 73.5681 images/s
[03/18 21:29:03] ppdet.engine INFO: Epoch: [90] [220/458] learning_rate: 0.254016 loss_vfl: 1.269338 loss_bbox: 0.600821 loss_dfl: 0.456576 loss: 2.348961 eta: 22:33:02 batch_cost: 0.9068 data_cost: 0.3280 ips: 70.5809 images/s
[03/18 21:29:23] ppdet.engine INFO: Epoch: [90] [240/458] learning_rate: 0.253957 loss_vfl: 1.322090 loss_bbox: 0.675163 loss_dfl: 0.500452 loss: 2.465812 eta: 22:32:48 batch_cost: 0.9035 data_cost: 0.3524 ips: 70.8318 images/s
[03/18 21:29:39] ppdet.engine INFO: Epoch: [90] [260/458] learning_rate: 0.253897 loss_vfl: 1.252706 loss_bbox: 0.592431 loss_dfl: 0.450950 loss: 2.289302 eta: 22:32:23 batch_cost: 0.6858 data_cost: 0.0389 ips: 93.3271 images/s
[03/18 21:30:01] ppdet.engine INFO: Epoch: [90] [280/458] learning_rate: 0.253838 loss_vfl: 1.264779 loss_bbox: 0.643747 loss_dfl: 0.461705 loss: 2.334862 eta: 22:32:11 batch_cost: 0.9436 data_cost: 0.2105 ips: 67.8240 images/s
[03/18 21:30:20] ppdet.engine INFO: Epoch: [90] [300/458] learning_rate: 0.253778 loss_vfl: 1.290351 loss_bbox: 0.637412 loss_dfl: 0.488742 loss: 2.448739 eta: 22:31:54 batch_cost: 0.8336 data_cost: 0.0004 ips: 76.7778 images/s
[03/18 21:30:35] ppdet.engine INFO: Epoch: [90] [320/458] learning_rate: 0.253719 loss_vfl: 1.316610 loss_bbox: 0.655194 loss_dfl: 0.483822 loss: 2.458830 eta: 22:31:29 batch_cost: 0.6779 data_cost: 0.1174 ips: 94.4048 images/s
[03/18 21:30:50] ppdet.engine INFO: Epoch: [90] [340/458] learning_rate: 0.253660 loss_vfl: 1.289885 loss_bbox: 0.626957 loss_dfl: 0.468170 loss: 2.394700 eta: 22:31:04 batch_cost: 0.6755 data_cost: 0.0010 ips: 94.7509 images/s
[03/18 21:31:07] ppdet.engine INFO: Epoch: [90] [360/458] learning_rate: 0.253600 loss_vfl: 1.297897 loss_bbox: 0.655611 loss_dfl: 0.488312 loss: 2.439711 eta: 22:30:43 batch_cost: 0.7530 data_cost: 0.0044 ips: 84.9939 images/s
[03/18 21:31:28] ppdet.engine INFO: Epoch: [90] [380/458] learning_rate: 0.253541 loss_vfl: 1.320453 loss_bbox: 0.633901 loss_dfl: 0.483968 loss: 2.437200 eta: 22:30:30 batch_cost: 0.9273 data_cost: 0.0031 ips: 69.0190 images/s
[03/18 21:31:47] ppdet.engine INFO: Epoch: [90] [400/458] learning_rate: 0.253481 loss_vfl: 1.253212 loss_bbox: 0.625269 loss_dfl: 0.467833 loss: 2.339157 eta: 22:30:10 batch_cost: 0.7897 data_cost: 0.0037 ips: 81.0472 images/s
[03/18 21:32:08] ppdet.engine INFO: Epoch: [90] [420/458] learning_rate: 0.253422 loss_vfl: 1.236441 loss_bbox: 0.654203 loss_dfl: 0.476340 loss: 2.356551 eta: 22:29:58 batch_cost: 0.9374 data_cost: 0.0025 ips: 68.2706 images/s
[03/18 21:32:27] ppdet.engine INFO: Epoch: [90] [440/458] learning_rate: 0.253362 loss_vfl: 1.277399 loss_bbox: 0.645627 loss_dfl: 0.475792 loss: 2.390377 eta: 22:29:38 batch_cost: 0.7901 data_cost: 0.0033 ips: 81.0003 images/s
[03/18 21:32:49] ppdet.engine INFO: Epoch: [91] [  0/458] learning_rate: 0.253309 loss_vfl: 1.362883 loss_bbox: 0.667287 loss_dfl: 0.505057 loss: 2.531474 eta: 22:29:33 batch_cost: 1.0760 data_cost: 0.5040 ips: 59.4769 images/s
[03/18 21:33:08] ppdet.engine INFO: Epoch: [91] [ 20/458] learning_rate: 0.253249 loss_vfl: 1.301148 loss_bbox: 0.658926 loss_dfl: 0.496225 loss: 2.449712 eta: 22:29:15 batch_cost: 0.8156 data_cost: 0.2452 ips: 78.4682 images/s
[03/18 21:33:28] ppdet.engine INFO: Epoch: [91] [ 40/458] learning_rate: 0.253189 loss_vfl: 1.275717 loss_bbox: 0.641805 loss_dfl: 0.481956 loss: 2.382754 eta: 22:28:59 batch_cost: 0.8733 data_cost: 0.1686 ips: 73.2815 images/s
[03/18 21:33:48] ppdet.engine INFO: Epoch: [91] [ 60/458] learning_rate: 0.253130 loss_vfl: 1.278558 loss_bbox: 0.620830 loss_dfl: 0.454954 loss: 2.355857 eta: 22:28:43 batch_cost: 0.8700 data_cost: 0.2327 ips: 73.5601 images/s
[03/18 21:34:09] ppdet.engine INFO: Epoch: [91] [ 80/458] learning_rate: 0.253070 loss_vfl: 1.326973 loss_bbox: 0.644686 loss_dfl: 0.491598 loss: 2.443700 eta: 22:28:30 batch_cost: 0.9265 data_cost: 0.4045 ips: 69.0746 images/s
[03/18 21:34:27] ppdet.engine INFO: Epoch: [91] [100/458] learning_rate: 0.253010 loss_vfl: 1.227354 loss_bbox: 0.627419 loss_dfl: 0.461233 loss: 2.322987 eta: 22:28:10 batch_cost: 0.7873 data_cost: 0.2374 ips: 81.2894 images/s
[03/18 21:34:48] ppdet.engine INFO: Epoch: [91] [120/458] learning_rate: 0.252951 loss_vfl: 1.275763 loss_bbox: 0.652532 loss_dfl: 0.480371 loss: 2.364899 eta: 22:27:54 batch_cost: 0.8711 data_cost: 0.2511 ips: 73.4719 images/s
[03/18 21:35:09] ppdet.engine INFO: Epoch: [91] [140/458] learning_rate: 0.252891 loss_vfl: 1.287992 loss_bbox: 0.640623 loss_dfl: 0.476924 loss: 2.407126 eta: 22:27:42 batch_cost: 0.9452 data_cost: 0.4562 ips: 67.7089 images/s
[03/18 21:35:30] ppdet.engine INFO: Epoch: [91] [160/458] learning_rate: 0.252831 loss_vfl: 1.311547 loss_bbox: 0.649176 loss_dfl: 0.494125 loss: 2.474312 eta: 22:27:29 batch_cost: 0.9296 data_cost: 0.4225 ips: 68.8442 images/s
[03/18 21:35:49] ppdet.engine INFO: Epoch: [91] [180/458] learning_rate: 0.252772 loss_vfl: 1.319681 loss_bbox: 0.650283 loss_dfl: 0.482109 loss: 2.434759 eta: 22:27:14 batch_cost: 0.8863 data_cost: 0.3272 ips: 72.2121 images/s
[03/18 21:36:08] ppdet.engine INFO: Epoch: [91] [200/458] learning_rate: 0.252712 loss_vfl: 1.331786 loss_bbox: 0.628797 loss_dfl: 0.474525 loss: 2.442877 eta: 22:26:58 batch_cost: 0.8742 data_cost: 0.0956 ips: 73.2070 images/s
[03/18 21:36:28] ppdet.engine INFO: Epoch: [91] [220/458] learning_rate: 0.252652 loss_vfl: 1.259791 loss_bbox: 0.635161 loss_dfl: 0.464492 loss: 2.318999 eta: 22:26:41 batch_cost: 0.8460 data_cost: 0.1465 ips: 75.6469 images/s
[03/18 21:36:47] ppdet.engine INFO: Epoch: [91] [240/458] learning_rate: 0.252592 loss_vfl: 1.233125 loss_bbox: 0.608571 loss_dfl: 0.465078 loss: 2.303935 eta: 22:26:26 batch_cost: 0.8920 data_cost: 0.0448 ips: 71.7487 images/s
[03/18 21:37:07] ppdet.engine INFO: Epoch: [91] [260/458] learning_rate: 0.252533 loss_vfl: 1.281351 loss_bbox: 0.642345 loss_dfl: 0.483705 loss: 2.398167 eta: 22:26:13 batch_cost: 0.9200 data_cost: 0.3381 ips: 69.5653 images/s
[03/18 21:37:29] ppdet.engine INFO: Epoch: [91] [280/458] learning_rate: 0.252473 loss_vfl: 1.293333 loss_bbox: 0.657791 loss_dfl: 0.492397 loss: 2.466541 eta: 22:26:02 batch_cost: 0.9844 data_cost: 0.4696 ips: 65.0171 images/s
[03/18 21:37:45] ppdet.engine INFO: Epoch: [91] [300/458] learning_rate: 0.252413 loss_vfl: 1.300069 loss_bbox: 0.632638 loss_dfl: 0.477701 loss: 2.432250 eta: 22:25:37 batch_cost: 0.6668 data_cost: 0.1864 ips: 95.9809 images/s
[03/18 21:38:00] ppdet.engine INFO: Epoch: [91] [320/458] learning_rate: 0.252353 loss_vfl: 1.256866 loss_bbox: 0.653814 loss_dfl: 0.470794 loss: 2.400262 eta: 22:25:13 batch_cost: 0.6815 data_cost: 0.1297 ips: 93.9090 images/s
[03/18 21:38:16] ppdet.engine INFO: Epoch: [91] [340/458] learning_rate: 0.252293 loss_vfl: 1.316536 loss_bbox: 0.661234 loss_dfl: 0.486534 loss: 2.476543 eta: 22:24:49 batch_cost: 0.6933 data_cost: 0.2418 ips: 92.3163 images/s
[03/18 21:38:35] ppdet.engine INFO: Epoch: [91] [360/458] learning_rate: 0.252233 loss_vfl: 1.289205 loss_bbox: 0.662708 loss_dfl: 0.492735 loss: 2.459291 eta: 22:24:32 batch_cost: 0.8559 data_cost: 0.2724 ips: 74.7733 images/s
[03/18 21:38:54] ppdet.engine INFO: Epoch: [91] [380/458] learning_rate: 0.252173 loss_vfl: 1.296559 loss_bbox: 0.634371 loss_dfl: 0.474195 loss: 2.379820 eta: 22:24:14 batch_cost: 0.8172 data_cost: 0.2313 ips: 78.3120 images/s
[03/18 21:39:15] ppdet.engine INFO: Epoch: [91] [400/458] learning_rate: 0.252113 loss_vfl: 1.284518 loss_bbox: 0.656488 loss_dfl: 0.480093 loss: 2.377104 eta: 22:24:04 batch_cost: 0.9857 data_cost: 0.4004 ips: 64.9302 images/s
[03/18 21:39:34] ppdet.engine INFO: Epoch: [91] [420/458] learning_rate: 0.252053 loss_vfl: 1.317207 loss_bbox: 0.663171 loss_dfl: 0.479063 loss: 2.429162 eta: 22:23:47 batch_cost: 0.8602 data_cost: 0.2918 ips: 74.4007 images/s
[03/18 21:39:52] ppdet.engine INFO: Epoch: [91] [440/458] learning_rate: 0.251993 loss_vfl: 1.259575 loss_bbox: 0.645507 loss_dfl: 0.476496 loss: 2.386837 eta: 22:23:28 batch_cost: 0.7984 data_cost: 0.2913 ips: 80.1615 images/s
[03/18 21:40:13] ppdet.engine INFO: Epoch: [92] [  0/458] learning_rate: 0.251939 loss_vfl: 1.247285 loss_bbox: 0.618551 loss_dfl: 0.469754 loss: 2.381801 eta: 22:23:20 batch_cost: 0.9786 data_cost: 0.5356 ips: 65.3971 images/s
[03/18 21:40:32] ppdet.engine INFO: Epoch: [92] [ 20/458] learning_rate: 0.251879 loss_vfl: 1.302645 loss_bbox: 0.641056 loss_dfl: 0.473222 loss: 2.407353 eta: 22:23:02 batch_cost: 0.8146 data_cost: 0.1996 ips: 78.5684 images/s
[03/18 21:40:51] ppdet.engine INFO: Epoch: [92] [ 40/458] learning_rate: 0.251819 loss_vfl: 1.280334 loss_bbox: 0.654657 loss_dfl: 0.468129 loss: 2.396327 eta: 22:22:46 batch_cost: 0.8575 data_cost: 0.0454 ips: 74.6358 images/s
[03/18 21:41:12] ppdet.engine INFO: Epoch: [92] [ 60/458] learning_rate: 0.251759 loss_vfl: 1.303204 loss_bbox: 0.665246 loss_dfl: 0.493165 loss: 2.446783 eta: 22:22:32 batch_cost: 0.9264 data_cost: 0.3166 ips: 69.0820 images/s
[03/18 21:41:31] ppdet.engine INFO: Epoch: [92] [ 80/458] learning_rate: 0.251699 loss_vfl: 1.289706 loss_bbox: 0.638126 loss_dfl: 0.477984 loss: 2.416412 eta: 22:22:16 batch_cost: 0.8578 data_cost: 0.3245 ips: 74.6131 images/s
[03/18 21:41:52] ppdet.engine INFO: Epoch: [92] [100/458] learning_rate: 0.251639 loss_vfl: 1.270031 loss_bbox: 0.623123 loss_dfl: 0.460665 loss: 2.333081 eta: 22:22:04 batch_cost: 0.9456 data_cost: 0.3625 ips: 67.6811 images/s
[03/18 21:42:13] ppdet.engine INFO: Epoch: [92] [120/458] learning_rate: 0.251579 loss_vfl: 1.321008 loss_bbox: 0.666723 loss_dfl: 0.490755 loss: 2.473308 eta: 22:21:52 batch_cost: 0.9621 data_cost: 0.4725 ips: 66.5241 images/s
[03/18 21:42:34] ppdet.engine INFO: Epoch: [92] [140/458] learning_rate: 0.251519 loss_vfl: 1.333350 loss_bbox: 0.650423 loss_dfl: 0.495386 loss: 2.511907 eta: 22:21:38 batch_cost: 0.9057 data_cost: 0.3606 ips: 70.6604 images/s
[03/18 21:42:51] ppdet.engine INFO: Epoch: [92] [160/458] learning_rate: 0.251459 loss_vfl: 1.279630 loss_bbox: 0.624960 loss_dfl: 0.470540 loss: 2.364620 eta: 22:21:17 batch_cost: 0.7539 data_cost: 0.3179 ips: 84.8958 images/s
[03/18 21:43:11] ppdet.engine INFO: Epoch: [92] [180/458] learning_rate: 0.251398 loss_vfl: 1.358504 loss_bbox: 0.660217 loss_dfl: 0.497846 loss: 2.521377 eta: 22:21:02 batch_cost: 0.8935 data_cost: 0.3909 ips: 71.6247 images/s
[03/18 21:43:30] ppdet.engine INFO: Epoch: [92] [200/458] learning_rate: 0.251338 loss_vfl: 1.304887 loss_bbox: 0.642821 loss_dfl: 0.478627 loss: 2.425812 eta: 22:20:46 batch_cost: 0.8822 data_cost: 0.3583 ips: 72.5497 images/s
[03/18 21:43:48] ppdet.engine INFO: Epoch: [92] [220/458] learning_rate: 0.251278 loss_vfl: 1.295315 loss_bbox: 0.641838 loss_dfl: 0.477911 loss: 2.353116 eta: 22:20:26 batch_cost: 0.7723 data_cost: 0.1867 ips: 82.8663 images/s
[03/18 21:44:09] ppdet.engine INFO: Epoch: [92] [240/458] learning_rate: 0.251218 loss_vfl: 1.307563 loss_bbox: 0.640470 loss_dfl: 0.489133 loss: 2.437074 eta: 22:20:13 batch_cost: 0.9298 data_cost: 0.3780 ips: 68.8299 images/s
[03/18 21:44:30] ppdet.engine INFO: Epoch: [92] [260/458] learning_rate: 0.251158 loss_vfl: 1.250393 loss_bbox: 0.604607 loss_dfl: 0.455217 loss: 2.304844 eta: 22:20:01 batch_cost: 0.9645 data_cost: 0.3837 ips: 66.3573 images/s
[03/18 21:44:46] ppdet.engine INFO: Epoch: [92] [280/458] learning_rate: 0.251097 loss_vfl: 1.277151 loss_bbox: 0.645862 loss_dfl: 0.473973 loss: 2.379815 eta: 22:19:37 batch_cost: 0.6868 data_cost: 0.2148 ips: 93.1830 images/s
[03/18 21:45:05] ppdet.engine INFO: Epoch: [92] [300/458] learning_rate: 0.251037 loss_vfl: 1.254007 loss_bbox: 0.621441 loss_dfl: 0.459561 loss: 2.327906 eta: 22:19:20 batch_cost: 0.8376 data_cost: 0.3566 ips: 76.4065 images/s
[03/18 21:45:21] ppdet.engine INFO: Epoch: [92] [320/458] learning_rate: 0.250977 loss_vfl: 1.311755 loss_bbox: 0.644968 loss_dfl: 0.477440 loss: 2.405052 eta: 22:18:58 batch_cost: 0.7275 data_cost: 0.2063 ips: 87.9739 images/s
[03/18 21:45:36] ppdet.engine INFO: Epoch: [92] [340/458] learning_rate: 0.250916 loss_vfl: 1.300157 loss_bbox: 0.629508 loss_dfl: 0.477786 loss: 2.424103 eta: 22:18:32 batch_cost: 0.6417 data_cost: 0.1735 ips: 99.7426 images/s
[03/18 21:45:57] ppdet.engine INFO: Epoch: [92] [360/458] learning_rate: 0.250856 loss_vfl: 1.216393 loss_bbox: 0.597633 loss_dfl: 0.455393 loss: 2.284973 eta: 22:18:17 batch_cost: 0.8906 data_cost: 0.3664 ips: 71.8631 images/s
[03/18 21:46:17] ppdet.engine INFO: Epoch: [92] [380/458] learning_rate: 0.250796 loss_vfl: 1.313888 loss_bbox: 0.624668 loss_dfl: 0.485086 loss: 2.465211 eta: 22:18:04 batch_cost: 0.9298 data_cost: 0.5081 ips: 68.8352 images/s
[03/18 21:46:38] ppdet.engine INFO: Epoch: [92] [400/458] learning_rate: 0.250735 loss_vfl: 1.313392 loss_bbox: 0.650707 loss_dfl: 0.479749 loss: 2.427899 eta: 22:17:51 batch_cost: 0.9415 data_cost: 0.4201 ips: 67.9765 images/s
[03/18 21:46:58] ppdet.engine INFO: Epoch: [92] [420/458] learning_rate: 0.250675 loss_vfl: 1.357582 loss_bbox: 0.659064 loss_dfl: 0.494024 loss: 2.498781 eta: 22:17:36 batch_cost: 0.8948 data_cost: 0.3705 ips: 71.5207 images/s
[03/18 21:47:17] ppdet.engine INFO: Epoch: [92] [440/458] learning_rate: 0.250614 loss_vfl: 1.233394 loss_bbox: 0.616127 loss_dfl: 0.456593 loss: 2.300055 eta: 22:17:19 batch_cost: 0.8473 data_cost: 0.3239 ips: 75.5318 images/s
[03/18 21:47:38] ppdet.engine INFO: Epoch: [93] [  0/458] learning_rate: 0.250560 loss_vfl: 1.246174 loss_bbox: 0.624485 loss_dfl: 0.459615 loss: 2.327192 eta: 22:17:12 batch_cost: 0.9759 data_cost: 0.5222 ips: 65.5786 images/s
[03/18 21:47:58] ppdet.engine INFO: Epoch: [93] [ 20/458] learning_rate: 0.250500 loss_vfl: 1.250198 loss_bbox: 0.608593 loss_dfl: 0.460147 loss: 2.346499 eta: 22:16:55 batch_cost: 0.8421 data_cost: 0.1063 ips: 76.0022 images/s
[03/18 21:48:19] ppdet.engine INFO: Epoch: [93] [ 40/458] learning_rate: 0.250439 loss_vfl: 1.278130 loss_bbox: 0.645482 loss_dfl: 0.480226 loss: 2.386054 eta: 22:16:39 batch_cost: 0.8696 data_cost: 0.1924 ips: 73.5946 images/s
[03/18 21:48:41] ppdet.engine INFO: Epoch: [93] [ 60/458] learning_rate: 0.250379 loss_vfl: 1.246875 loss_bbox: 0.613618 loss_dfl: 0.462601 loss: 2.322865 eta: 22:16:28 batch_cost: 0.9661 data_cost: 0.2973 ips: 66.2451 images/s
[03/18 21:49:02] ppdet.engine INFO: Epoch: [93] [ 80/458] learning_rate: 0.250318 loss_vfl: 1.378352 loss_bbox: 0.674775 loss_dfl: 0.502334 loss: 2.560499 eta: 22:16:14 batch_cost: 0.9093 data_cost: 0.2426 ips: 70.3820 images/s
[03/18 21:49:19] ppdet.engine INFO: Epoch: [93] [100/458] learning_rate: 0.250258 loss_vfl: 1.257462 loss_bbox: 0.654612 loss_dfl: 0.482568 loss: 2.368870 eta: 22:15:52 batch_cost: 0.7413 data_cost: 0.0047 ips: 86.3370 images/s
[03/18 21:49:39] ppdet.engine INFO: Epoch: [93] [120/458] learning_rate: 0.250197 loss_vfl: 1.249294 loss_bbox: 0.633329 loss_dfl: 0.466691 loss: 2.331161 eta: 22:15:36 batch_cost: 0.8674 data_cost: 0.1093 ips: 73.7864 images/s
[03/18 21:50:02] ppdet.engine INFO: Epoch: [93] [140/458] learning_rate: 0.250136 loss_vfl: 1.244383 loss_bbox: 0.631897 loss_dfl: 0.463344 loss: 2.365328 eta: 22:15:26 batch_cost: 1.0091 data_cost: 0.0016 ips: 63.4206 images/s
[03/18 21:50:22] ppdet.engine INFO: Epoch: [93] [160/458] learning_rate: 0.250076 loss_vfl: 1.292402 loss_bbox: 0.635201 loss_dfl: 0.482520 loss: 2.419903 eta: 22:15:11 batch_cost: 0.8871 data_cost: 0.0034 ips: 72.1451 images/s
[03/18 21:50:43] ppdet.engine INFO: Epoch: [93] [180/458] learning_rate: 0.250015 loss_vfl: 1.232203 loss_bbox: 0.605382 loss_dfl: 0.458776 loss: 2.292702 eta: 22:14:58 batch_cost: 0.9309 data_cost: 0.0020 ips: 68.7486 images/s
[03/18 21:51:01] ppdet.engine INFO: Epoch: [93] [200/458] learning_rate: 0.249955 loss_vfl: 1.307958 loss_bbox: 0.635602 loss_dfl: 0.487124 loss: 2.444699 eta: 22:14:40 batch_cost: 0.8108 data_cost: 0.0031 ips: 78.9379 images/s
[03/18 21:51:24] ppdet.engine INFO: Epoch: [93] [220/458] learning_rate: 0.249894 loss_vfl: 1.265966 loss_bbox: 0.634552 loss_dfl: 0.475581 loss: 2.379647 eta: 22:14:31 batch_cost: 1.0256 data_cost: 0.0012 ips: 62.4002 images/s
[03/18 21:51:43] ppdet.engine INFO: Epoch: [93] [240/458] learning_rate: 0.249833 loss_vfl: 1.321153 loss_bbox: 0.645663 loss_dfl: 0.493748 loss: 2.453619 eta: 22:14:10 batch_cost: 0.7762 data_cost: 0.0037 ips: 82.4515 images/s
[03/18 21:52:02] ppdet.engine INFO: Epoch: [93] [260/458] learning_rate: 0.249773 loss_vfl: 1.301200 loss_bbox: 0.637792 loss_dfl: 0.485019 loss: 2.414742 eta: 22:13:52 batch_cost: 0.8089 data_cost: 0.0038 ips: 79.1182 images/s
[03/18 21:52:20] ppdet.engine INFO: Epoch: [93] [280/458] learning_rate: 0.249712 loss_vfl: 1.318966 loss_bbox: 0.666087 loss_dfl: 0.502924 loss: 2.492650 eta: 22:13:33 batch_cost: 0.7921 data_cost: 0.0092 ips: 80.7979 images/s
[03/18 21:52:35] ppdet.engine INFO: Epoch: [93] [300/458] learning_rate: 0.249651 loss_vfl: 1.313437 loss_bbox: 0.656552 loss_dfl: 0.491252 loss: 2.464462 eta: 22:13:09 batch_cost: 0.6860 data_cost: 0.0039 ips: 93.2966 images/s
[03/18 21:52:51] ppdet.engine INFO: Epoch: [93] [320/458] learning_rate: 0.249590 loss_vfl: 1.280686 loss_bbox: 0.633173 loss_dfl: 0.468442 loss: 2.381860 eta: 22:12:44 batch_cost: 0.6678 data_cost: 0.0022 ips: 95.8373 images/s
[03/18 21:53:11] ppdet.engine INFO: Epoch: [93] [340/458] learning_rate: 0.249530 loss_vfl: 1.250831 loss_bbox: 0.615126 loss_dfl: 0.473842 loss: 2.343616 eta: 22:12:25 batch_cost: 0.8022 data_cost: 0.0753 ips: 79.7757 images/s
[03/18 21:53:32] ppdet.engine INFO: Epoch: [93] [360/458] learning_rate: 0.249469 loss_vfl: 1.309117 loss_bbox: 0.649742 loss_dfl: 0.483282 loss: 2.434863 eta: 22:12:12 batch_cost: 0.9469 data_cost: 0.3383 ips: 67.5890 images/s
[03/18 21:53:52] ppdet.engine INFO: Epoch: [93] [380/458] learning_rate: 0.249408 loss_vfl: 1.297628 loss_bbox: 0.634075 loss_dfl: 0.494982 loss: 2.403893 eta: 22:11:58 batch_cost: 0.8983 data_cost: 0.3007 ips: 71.2466 images/s
[03/18 21:54:11] ppdet.engine INFO: Epoch: [93] [400/458] learning_rate: 0.249347 loss_vfl: 1.261910 loss_bbox: 0.633764 loss_dfl: 0.467018 loss: 2.334872 eta: 22:11:39 batch_cost: 0.7962 data_cost: 0.0339 ips: 80.3826 images/s
[03/18 21:54:29] ppdet.engine INFO: Epoch: [93] [420/458] learning_rate: 0.249286 loss_vfl: 1.301816 loss_bbox: 0.662738 loss_dfl: 0.489503 loss: 2.496202 eta: 22:11:17 batch_cost: 0.7456 data_cost: 0.0015 ips: 85.8368 images/s
[03/18 21:54:51] ppdet.engine INFO: Epoch: [93] [440/458] learning_rate: 0.249226 loss_vfl: 1.210085 loss_bbox: 0.641658 loss_dfl: 0.470825 loss: 2.330851 eta: 22:11:05 batch_cost: 0.9439 data_cost: 0.0055 ips: 67.8013 images/s
[03/18 21:55:14] ppdet.engine INFO: Epoch: [94] [  0/458] learning_rate: 0.249171 loss_vfl: 1.283990 loss_bbox: 0.660023 loss_dfl: 0.493779 loss: 2.423188 eta: 22:11:01 batch_cost: 1.0716 data_cost: 0.4749 ips: 59.7233 images/s
[03/18 21:55:33] ppdet.engine INFO: Epoch: [94] [ 20/458] learning_rate: 0.249110 loss_vfl: 1.272434 loss_bbox: 0.601844 loss_dfl: 0.471537 loss: 2.379274 eta: 22:10:43 batch_cost: 0.8154 data_cost: 0.0060 ips: 78.4859 images/s
[03/18 21:55:50] ppdet.engine INFO: Epoch: [94] [ 40/458] learning_rate: 0.249049 loss_vfl: 1.250567 loss_bbox: 0.624855 loss_dfl: 0.470210 loss: 2.361881 eta: 22:10:20 batch_cost: 0.7189 data_cost: 0.0066 ips: 89.0199 images/s
[03/18 21:56:12] ppdet.engine INFO: Epoch: [94] [ 60/458] learning_rate: 0.248988 loss_vfl: 1.230009 loss_bbox: 0.620260 loss_dfl: 0.468378 loss: 2.322798 eta: 22:10:06 batch_cost: 0.9205 data_cost: 0.0105 ips: 69.5304 images/s
[03/18 21:56:31] ppdet.engine INFO: Epoch: [94] [ 80/458] learning_rate: 0.248927 loss_vfl: 1.270659 loss_bbox: 0.636764 loss_dfl: 0.470258 loss: 2.386359 eta: 22:09:50 batch_cost: 0.8485 data_cost: 0.2274 ips: 75.4311 images/s
[03/18 21:56:50] ppdet.engine INFO: Epoch: [94] [100/458] learning_rate: 0.248866 loss_vfl: 1.397725 loss_bbox: 0.695533 loss_dfl: 0.515856 loss: 2.625471 eta: 22:09:31 batch_cost: 0.8035 data_cost: 0.1295 ips: 79.6538 images/s
[03/18 21:57:12] ppdet.engine INFO: Epoch: [94] [120/458] learning_rate: 0.248805 loss_vfl: 1.264609 loss_bbox: 0.607826 loss_dfl: 0.449340 loss: 2.301885 eta: 22:09:15 batch_cost: 0.8828 data_cost: 0.1274 ips: 72.4931 images/s
[03/18 21:57:32] ppdet.engine INFO: Epoch: [94] [140/458] learning_rate: 0.248744 loss_vfl: 1.238402 loss_bbox: 0.634383 loss_dfl: 0.475534 loss: 2.393244 eta: 22:09:00 batch_cost: 0.8788 data_cost: 0.1717 ips: 72.8237 images/s
[03/18 21:57:51] ppdet.engine INFO: Epoch: [94] [160/458] learning_rate: 0.248683 loss_vfl: 1.258644 loss_bbox: 0.626711 loss_dfl: 0.472799 loss: 2.359856 eta: 22:08:41 batch_cost: 0.7975 data_cost: 0.1856 ips: 80.2535 images/s
[03/18 21:58:12] ppdet.engine INFO: Epoch: [94] [180/458] learning_rate: 0.248622 loss_vfl: 1.252703 loss_bbox: 0.624679 loss_dfl: 0.464165 loss: 2.294361 eta: 22:08:29 batch_cost: 0.9585 data_cost: 0.3617 ips: 66.7696 images/s
[03/18 21:58:32] ppdet.engine INFO: Epoch: [94] [200/458] learning_rate: 0.248561 loss_vfl: 1.328919 loss_bbox: 0.680458 loss_dfl: 0.508332 loss: 2.541711 eta: 22:08:12 batch_cost: 0.8462 data_cost: 0.2484 ips: 75.6356 images/s
[03/18 21:58:49] ppdet.engine INFO: Epoch: [94] [220/458] learning_rate: 0.248500 loss_vfl: 1.274103 loss_bbox: 0.614423 loss_dfl: 0.461501 loss: 2.355047 eta: 22:07:48 batch_cost: 0.6759 data_cost: 0.0324 ips: 94.6928 images/s
[03/18 21:59:12] ppdet.engine INFO: Epoch: [94] [240/458] learning_rate: 0.248439 loss_vfl: 1.256487 loss_bbox: 0.669371 loss_dfl: 0.482665 loss: 2.349163 eta: 22:07:39 batch_cost: 1.0294 data_cost: 0.3326 ips: 62.1695 images/s
[03/18 21:59:31] ppdet.engine INFO: Epoch: [94] [260/458] learning_rate: 0.248378 loss_vfl: 1.257396 loss_bbox: 0.648406 loss_dfl: 0.465636 loss: 2.370545 eta: 22:07:19 batch_cost: 0.7848 data_cost: 0.1527 ips: 81.5449 images/s
[03/18 21:59:43] ppdet.engine INFO: Epoch: [94] [280/458] learning_rate: 0.248317 loss_vfl: 1.299036 loss_bbox: 0.656386 loss_dfl: 0.479713 loss: 2.428572 eta: 22:06:48 batch_cost: 0.5216 data_cost: 0.0021 ips: 122.6937 images/s
[03/18 21:59:58] ppdet.engine INFO: Epoch: [94] [300/458] learning_rate: 0.248255 loss_vfl: 1.263412 loss_bbox: 0.621445 loss_dfl: 0.473764 loss: 2.367049 eta: 22:06:23 batch_cost: 0.6723 data_cost: 0.0590 ips: 95.2008 images/s
[03/18 22:00:16] ppdet.engine INFO: Epoch: [94] [320/458] learning_rate: 0.248194 loss_vfl: 1.275983 loss_bbox: 0.636393 loss_dfl: 0.482724 loss: 2.396821 eta: 22:06:01 batch_cost: 0.7244 data_cost: 0.1840 ips: 88.3430 images/s
[03/18 22:00:36] ppdet.engine INFO: Epoch: [94] [340/458] learning_rate: 0.248133 loss_vfl: 1.265757 loss_bbox: 0.634647 loss_dfl: 0.472571 loss: 2.398080 eta: 22:05:47 batch_cost: 0.9106 data_cost: 0.2170 ips: 70.2850 images/s
[03/18 22:00:55] ppdet.engine INFO: Epoch: [94] [360/458] learning_rate: 0.248072 loss_vfl: 1.188206 loss_bbox: 0.611617 loss_dfl: 0.456802 loss: 2.269351 eta: 22:05:28 batch_cost: 0.7934 data_cost: 0.1302 ips: 80.6633 images/s
[03/18 22:01:13] ppdet.engine INFO: Epoch: [94] [380/458] learning_rate: 0.248011 loss_vfl: 1.229361 loss_bbox: 0.634851 loss_dfl: 0.473549 loss: 2.363896 eta: 22:05:07 batch_cost: 0.7546 data_cost: 0.0900 ips: 84.8147 images/s
[03/18 22:01:34] ppdet.engine INFO: Epoch: [94] [400/458] learning_rate: 0.247949 loss_vfl: 1.281936 loss_bbox: 0.648588 loss_dfl: 0.476645 loss: 2.386359 eta: 22:04:54 batch_cost: 0.9354 data_cost: 0.2179 ips: 68.4208 images/s
[03/18 22:01:52] ppdet.engine INFO: Epoch: [94] [420/458] learning_rate: 0.247888 loss_vfl: 1.257654 loss_bbox: 0.636671 loss_dfl: 0.475171 loss: 2.362708 eta: 22:04:33 batch_cost: 0.7542 data_cost: 0.2148 ips: 84.8544 images/s
[03/18 22:02:11] ppdet.engine INFO: Epoch: [94] [440/458] learning_rate: 0.247827 loss_vfl: 1.296367 loss_bbox: 0.638669 loss_dfl: 0.481141 loss: 2.419991 eta: 22:04:16 batch_cost: 0.8505 data_cost: 0.2703 ips: 75.2540 images/s
[03/18 22:02:33] ppdet.engine INFO: Epoch: [95] [  0/458] learning_rate: 0.247772 loss_vfl: 1.267363 loss_bbox: 0.634817 loss_dfl: 0.475077 loss: 2.363699 eta: 22:04:09 batch_cost: 1.0008 data_cost: 0.4714 ips: 63.9495 images/s
[03/18 22:02:52] ppdet.engine INFO: Epoch: [95] [ 20/458] learning_rate: 0.247710 loss_vfl: 1.217138 loss_bbox: 0.595438 loss_dfl: 0.448621 loss: 2.225575 eta: 22:03:50 batch_cost: 0.7915 data_cost: 0.0028 ips: 80.8622 images/s
[03/18 22:03:12] ppdet.engine INFO: Epoch: [95] [ 40/458] learning_rate: 0.247649 loss_vfl: 1.292337 loss_bbox: 0.631154 loss_dfl: 0.485743 loss: 2.402633 eta: 22:03:36 batch_cost: 0.9064 data_cost: 0.2207 ips: 70.6076 images/s
[03/18 22:03:29] ppdet.engine INFO: Epoch: [95] [ 60/458] learning_rate: 0.247588 loss_vfl: 1.298690 loss_bbox: 0.595093 loss_dfl: 0.462066 loss: 2.367941 eta: 22:03:16 batch_cost: 0.7880 data_cost: 0.1674 ips: 81.2159 images/s
[03/18 22:03:49] ppdet.engine INFO: Epoch: [95] [ 80/458] learning_rate: 0.247526 loss_vfl: 1.336911 loss_bbox: 0.677771 loss_dfl: 0.486976 loss: 2.535039 eta: 22:02:59 batch_cost: 0.8486 data_cost: 0.2108 ips: 75.4203 images/s
[03/18 22:04:12] ppdet.engine INFO: Epoch: [95] [100/458] learning_rate: 0.247465 loss_vfl: 1.277612 loss_bbox: 0.647834 loss_dfl: 0.483491 loss: 2.434130 eta: 22:02:51 batch_cost: 1.0371 data_cost: 0.0809 ips: 61.7134 images/s
[03/18 22:04:31] ppdet.engine INFO: Epoch: [95] [120/458] learning_rate: 0.247403 loss_vfl: 1.298769 loss_bbox: 0.634325 loss_dfl: 0.474378 loss: 2.424398 eta: 22:02:32 batch_cost: 0.8009 data_cost: 0.0020 ips: 79.9078 images/s
[03/18 22:04:51] ppdet.engine INFO: Epoch: [95] [140/458] learning_rate: 0.247342 loss_vfl: 1.264200 loss_bbox: 0.601901 loss_dfl: 0.460503 loss: 2.302307 eta: 22:02:16 batch_cost: 0.8814 data_cost: 0.1577 ips: 72.6092 images/s
[03/18 22:05:08] ppdet.engine INFO: Epoch: [95] [160/458] learning_rate: 0.247281 loss_vfl: 1.284028 loss_bbox: 0.664514 loss_dfl: 0.496360 loss: 2.444891 eta: 22:01:55 batch_cost: 0.7474 data_cost: 0.0077 ips: 85.6289 images/s
[03/18 22:05:26] ppdet.engine INFO: Epoch: [95] [180/458] learning_rate: 0.247219 loss_vfl: 1.269199 loss_bbox: 0.650308 loss_dfl: 0.489230 loss: 2.422912 eta: 22:01:34 batch_cost: 0.7523 data_cost: 0.0433 ips: 85.0688 images/s
[03/18 22:05:45] ppdet.engine INFO: Epoch: [95] [200/458] learning_rate: 0.247158 loss_vfl: 1.267724 loss_bbox: 0.615397 loss_dfl: 0.467437 loss: 2.388768 eta: 22:01:16 batch_cost: 0.8223 data_cost: 0.0438 ips: 77.8349 images/s
[03/18 22:06:06] ppdet.engine INFO: Epoch: [95] [220/458] learning_rate: 0.247096 loss_vfl: 1.268083 loss_bbox: 0.632416 loss_dfl: 0.473778 loss: 2.378955 eta: 22:01:00 batch_cost: 0.8608 data_cost: 0.0678 ips: 74.3518 images/s
[03/18 22:06:25] ppdet.engine INFO: Epoch: [95] [240/458] learning_rate: 0.247035 loss_vfl: 1.244772 loss_bbox: 0.647033 loss_dfl: 0.477307 loss: 2.361950 eta: 22:00:44 batch_cost: 0.8662 data_cost: 0.1592 ips: 73.8819 images/s
[03/18 22:06:47] ppdet.engine INFO: Epoch: [95] [260/458] learning_rate: 0.246973 loss_vfl: 1.324581 loss_bbox: 0.658410 loss_dfl: 0.490954 loss: 2.448174 eta: 22:00:31 batch_cost: 0.9473 data_cost: 0.3079 ips: 67.5593 images/s
[03/18 22:07:02] ppdet.engine INFO: Epoch: [95] [280/458] learning_rate: 0.246912 loss_vfl: 1.224704 loss_bbox: 0.623759 loss_dfl: 0.466205 loss: 2.303637 eta: 22:00:07 batch_cost: 0.6837 data_cost: 0.2170 ips: 93.6077 images/s
[03/18 22:07:16] ppdet.engine INFO: Epoch: [95] [300/458] learning_rate: 0.246850 loss_vfl: 1.230293 loss_bbox: 0.606225 loss_dfl: 0.463130 loss: 2.301061 eta: 21:59:40 batch_cost: 0.5898 data_cost: 0.1029 ips: 108.5042 images/s
[03/18 22:07:33] ppdet.engine INFO: Epoch: [95] [320/458] learning_rate: 0.246788 loss_vfl: 1.248276 loss_bbox: 0.642920 loss_dfl: 0.479163 loss: 2.379972 eta: 21:59:18 batch_cost: 0.7279 data_cost: 0.0362 ips: 87.9220 images/s
[03/18 22:07:52] ppdet.engine INFO: Epoch: [95] [340/458] learning_rate: 0.246727 loss_vfl: 1.288222 loss_bbox: 0.626802 loss_dfl: 0.464221 loss: 2.413832 eta: 21:59:01 batch_cost: 0.8630 data_cost: 0.0399 ips: 74.1576 images/s
[03/18 22:08:11] ppdet.engine INFO: Epoch: [95] [360/458] learning_rate: 0.246665 loss_vfl: 1.303436 loss_bbox: 0.649228 loss_dfl: 0.482122 loss: 2.427781 eta: 21:58:43 batch_cost: 0.8070 data_cost: 0.0177 ips: 79.3064 images/s
[03/18 22:08:32] ppdet.engine INFO: Epoch: [95] [380/458] learning_rate: 0.246603 loss_vfl: 1.235942 loss_bbox: 0.649526 loss_dfl: 0.470467 loss: 2.349988 eta: 21:58:30 batch_cost: 0.9345 data_cost: 0.3375 ips: 68.4875 images/s
[03/18 22:08:51] ppdet.engine INFO: Epoch: [95] [400/458] learning_rate: 0.246542 loss_vfl: 1.296127 loss_bbox: 0.651401 loss_dfl: 0.494387 loss: 2.462436 eta: 21:58:12 batch_cost: 0.8346 data_cost: 0.2426 ips: 76.6801 images/s
[03/18 22:09:11] ppdet.engine INFO: Epoch: [95] [420/458] learning_rate: 0.246480 loss_vfl: 1.365065 loss_bbox: 0.667881 loss_dfl: 0.493855 loss: 2.510096 eta: 21:57:57 batch_cost: 0.8782 data_cost: 0.2603 ips: 72.8736 images/s
[03/18 22:09:29] ppdet.engine INFO: Epoch: [95] [440/458] learning_rate: 0.246418 loss_vfl: 1.306707 loss_bbox: 0.666065 loss_dfl: 0.487800 loss: 2.417153 eta: 21:57:35 batch_cost: 0.7421 data_cost: 0.1574 ips: 86.2469 images/s
[03/18 22:09:50] ppdet.engine INFO: Epoch: [96] [  0/458] learning_rate: 0.246363 loss_vfl: 1.279931 loss_bbox: 0.631478 loss_dfl: 0.485486 loss: 2.413340 eta: 21:57:27 batch_cost: 0.9573 data_cost: 0.3065 ips: 66.8529 images/s
[03/18 22:10:10] ppdet.engine INFO: Epoch: [96] [ 20/458] learning_rate: 0.246301 loss_vfl: 1.240457 loss_bbox: 0.624948 loss_dfl: 0.481037 loss: 2.374210 eta: 21:57:10 batch_cost: 0.8455 data_cost: 0.0723 ips: 75.6942 images/s
[03/18 22:10:30] ppdet.engine INFO: Epoch: [96] [ 40/458] learning_rate: 0.246239 loss_vfl: 1.217668 loss_bbox: 0.588016 loss_dfl: 0.445376 loss: 2.240223 eta: 21:56:54 batch_cost: 0.8722 data_cost: 0.0973 ips: 73.3811 images/s
[03/18 22:10:50] ppdet.engine INFO: Epoch: [96] [ 60/458] learning_rate: 0.246178 loss_vfl: 1.308667 loss_bbox: 0.656907 loss_dfl: 0.487233 loss: 2.466357 eta: 21:56:37 batch_cost: 0.8463 data_cost: 0.0929 ips: 75.6261 images/s
[03/18 22:11:10] ppdet.engine INFO: Epoch: [96] [ 80/458] learning_rate: 0.246116 loss_vfl: 1.281215 loss_bbox: 0.638025 loss_dfl: 0.474067 loss: 2.421569 eta: 21:56:21 batch_cost: 0.8687 data_cost: 0.2421 ips: 73.6709 images/s
[03/18 22:11:31] ppdet.engine INFO: Epoch: [96] [100/458] learning_rate: 0.246054 loss_vfl: 1.321020 loss_bbox: 0.645743 loss_dfl: 0.477852 loss: 2.460803 eta: 21:56:06 batch_cost: 0.8809 data_cost: 0.1593 ips: 72.6524 images/s
[03/18 22:11:51] ppdet.engine INFO: Epoch: [96] [120/458] learning_rate: 0.245992 loss_vfl: 1.267711 loss_bbox: 0.620910 loss_dfl: 0.466866 loss: 2.366118 eta: 21:55:48 batch_cost: 0.8236 data_cost: 0.1941 ips: 77.7034 images/s
[03/18 22:12:10] ppdet.engine INFO: Epoch: [96] [140/458] learning_rate: 0.245930 loss_vfl: 1.199834 loss_bbox: 0.618684 loss_dfl: 0.452201 loss: 2.256230 eta: 21:55:29 batch_cost: 0.7967 data_cost: 0.1409 ips: 80.3337 images/s
[03/18 22:12:30] ppdet.engine INFO: Epoch: [96] [160/458] learning_rate: 0.245868 loss_vfl: 1.299900 loss_bbox: 0.631266 loss_dfl: 0.467709 loss: 2.406691 eta: 21:55:13 batch_cost: 0.8584 data_cost: 0.2142 ips: 74.5594 images/s
[03/18 22:12:49] ppdet.engine INFO: Epoch: [96] [180/458] learning_rate: 0.245807 loss_vfl: 1.231102 loss_bbox: 0.618113 loss_dfl: 0.472597 loss: 2.311725 eta: 21:54:55 batch_cost: 0.8199 data_cost: 0.2047 ips: 78.0550 images/s
[03/18 22:13:08] ppdet.engine INFO: Epoch: [96] [200/458] learning_rate: 0.245745 loss_vfl: 1.261239 loss_bbox: 0.636796 loss_dfl: 0.471913 loss: 2.348472 eta: 21:54:34 batch_cost: 0.7669 data_cost: 0.2051 ips: 83.4478 images/s
[03/18 22:13:29] ppdet.engine INFO: Epoch: [96] [220/458] learning_rate: 0.245683 loss_vfl: 1.239766 loss_bbox: 0.633836 loss_dfl: 0.469684 loss: 2.338553 eta: 21:54:20 batch_cost: 0.8992 data_cost: 0.3086 ips: 71.1754 images/s
[03/18 22:13:50] ppdet.engine INFO: Epoch: [96] [240/458] learning_rate: 0.245621 loss_vfl: 1.251647 loss_bbox: 0.625188 loss_dfl: 0.466726 loss: 2.358703 eta: 21:54:06 batch_cost: 0.9241 data_cost: 0.1508 ips: 69.2587 images/s
[03/18 22:14:12] ppdet.engine INFO: Epoch: [96] [260/458] learning_rate: 0.245559 loss_vfl: 1.347353 loss_bbox: 0.661164 loss_dfl: 0.489184 loss: 2.494548 eta: 21:53:53 batch_cost: 0.9352 data_cost: 0.0475 ips: 68.4357 images/s
[03/18 22:14:27] ppdet.engine INFO: Epoch: [96] [280/458] learning_rate: 0.245497 loss_vfl: 1.299692 loss_bbox: 0.628939 loss_dfl: 0.477325 loss: 2.398457 eta: 21:53:28 batch_cost: 0.6571 data_cost: 0.1304 ips: 97.4031 images/s
[03/18 22:14:43] ppdet.engine INFO: Epoch: [96] [300/458] learning_rate: 0.245435 loss_vfl: 1.314845 loss_bbox: 0.643725 loss_dfl: 0.485712 loss: 2.454717 eta: 21:53:05 batch_cost: 0.6932 data_cost: 0.1606 ips: 92.3270 images/s
[03/18 22:15:00] ppdet.engine INFO: Epoch: [96] [320/458] learning_rate: 0.245373 loss_vfl: 1.283442 loss_bbox: 0.633970 loss_dfl: 0.486316 loss: 2.381036 eta: 21:52:44 batch_cost: 0.7590 data_cost: 0.0638 ips: 84.3201 images/s
[03/18 22:15:19] ppdet.engine INFO: Epoch: [96] [340/458] learning_rate: 0.245311 loss_vfl: 1.267951 loss_bbox: 0.626487 loss_dfl: 0.472954 loss: 2.377157 eta: 21:52:24 batch_cost: 0.7739 data_cost: 0.2389 ips: 82.6994 images/s
[03/18 22:15:39] ppdet.engine INFO: Epoch: [96] [360/458] learning_rate: 0.245249 loss_vfl: 1.291777 loss_bbox: 0.646962 loss_dfl: 0.490445 loss: 2.410435 eta: 21:52:09 batch_cost: 0.8999 data_cost: 0.3300 ips: 71.1228 images/s
[03/18 22:16:00] ppdet.engine INFO: Epoch: [96] [380/458] learning_rate: 0.245187 loss_vfl: 1.250761 loss_bbox: 0.627264 loss_dfl: 0.465754 loss: 2.349663 eta: 21:51:57 batch_cost: 0.9444 data_cost: 0.4282 ips: 67.7655 images/s
[03/18 22:16:18] ppdet.engine INFO: Epoch: [96] [400/458] learning_rate: 0.245125 loss_vfl: 1.275503 loss_bbox: 0.646716 loss_dfl: 0.475655 loss: 2.402461 eta: 21:51:38 batch_cost: 0.7934 data_cost: 0.1735 ips: 80.6665 images/s
[03/18 22:16:38] ppdet.engine INFO: Epoch: [96] [420/458] learning_rate: 0.245063 loss_vfl: 1.256399 loss_bbox: 0.638437 loss_dfl: 0.479397 loss: 2.369704 eta: 21:51:20 batch_cost: 0.8409 data_cost: 0.2619 ips: 76.1063 images/s
[03/18 22:16:57] ppdet.engine INFO: Epoch: [96] [440/458] learning_rate: 0.245000 loss_vfl: 1.239279 loss_bbox: 0.631633 loss_dfl: 0.467929 loss: 2.327711 eta: 21:51:02 batch_cost: 0.8177 data_cost: 0.1361 ips: 78.2674 images/s
[03/18 22:17:19] ppdet.engine INFO: Epoch: [97] [  0/458] learning_rate: 0.244945 loss_vfl: 1.256868 loss_bbox: 0.616343 loss_dfl: 0.473286 loss: 2.341273 eta: 21:50:56 batch_cost: 1.0205 data_cost: 0.3722 ips: 62.7120 images/s
[03/18 22:17:42] ppdet.engine INFO: Epoch: [97] [ 20/458] learning_rate: 0.244882 loss_vfl: 1.289506 loss_bbox: 0.628867 loss_dfl: 0.474181 loss: 2.387589 eta: 21:50:43 batch_cost: 0.9472 data_cost: 0.2988 ips: 67.5709 images/s
[03/18 22:17:58] ppdet.engine INFO: Epoch: [97] [ 40/458] learning_rate: 0.244820 loss_vfl: 1.288623 loss_bbox: 0.651427 loss_dfl: 0.467585 loss: 2.367508 eta: 21:50:22 batch_cost: 0.7415 data_cost: 0.2134 ips: 86.3070 images/s
[03/18 22:18:21] ppdet.engine INFO: Epoch: [97] [ 60/458] learning_rate: 0.244758 loss_vfl: 1.324392 loss_bbox: 0.636951 loss_dfl: 0.476412 loss: 2.422547 eta: 21:50:09 batch_cost: 0.9329 data_cost: 0.0206 ips: 68.6011 images/s
[03/18 22:18:42] ppdet.engine INFO: Epoch: [97] [ 80/458] learning_rate: 0.244696 loss_vfl: 1.243061 loss_bbox: 0.605063 loss_dfl: 0.455997 loss: 2.334115 eta: 21:49:53 batch_cost: 0.8749 data_cost: 0.0075 ips: 73.1540 images/s
[03/18 22:19:02] ppdet.engine INFO: Epoch: [97] [100/458] learning_rate: 0.244634 loss_vfl: 1.338588 loss_bbox: 0.654373 loss_dfl: 0.499126 loss: 2.481703 eta: 21:49:38 batch_cost: 0.8904 data_cost: 0.0017 ips: 71.8766 images/s
[03/18 22:19:23] ppdet.engine INFO: Epoch: [97] [120/458] learning_rate: 0.244571 loss_vfl: 1.315785 loss_bbox: 0.678379 loss_dfl: 0.492610 loss: 2.487320 eta: 21:49:25 batch_cost: 0.9436 data_cost: 0.0063 ips: 67.8260 images/s
[03/18 22:19:46] ppdet.engine INFO: Epoch: [97] [140/458] learning_rate: 0.244509 loss_vfl: 1.218283 loss_bbox: 0.604902 loss_dfl: 0.461951 loss: 2.286589 eta: 21:49:13 batch_cost: 0.9642 data_cost: 0.0033 ips: 66.3757 images/s
[03/18 22:20:04] ppdet.engine INFO: Epoch: [97] [160/458] learning_rate: 0.244447 loss_vfl: 1.315940 loss_bbox: 0.642615 loss_dfl: 0.473172 loss: 2.436421 eta: 21:48:53 batch_cost: 0.7783 data_cost: 0.0084 ips: 82.2294 images/s
[03/18 22:20:23] ppdet.engine INFO: Epoch: [97] [180/458] learning_rate: 0.244385 loss_vfl: 1.230107 loss_bbox: 0.624162 loss_dfl: 0.456940 loss: 2.308811 eta: 21:48:34 batch_cost: 0.7992 data_cost: 0.0055 ips: 80.0751 images/s
[03/18 22:20:45] ppdet.engine INFO: Epoch: [97] [200/458] learning_rate: 0.244322 loss_vfl: 1.258461 loss_bbox: 0.615344 loss_dfl: 0.462240 loss: 2.315145 eta: 21:48:21 batch_cost: 0.9235 data_cost: 0.0058 ips: 69.2982 images/s
[03/18 22:21:08] ppdet.engine INFO: Epoch: [97] [220/458] learning_rate: 0.244260 loss_vfl: 1.271954 loss_bbox: 0.601884 loss_dfl: 0.456575 loss: 2.324838 eta: 21:48:10 batch_cost: 0.9982 data_cost: 0.0773 ips: 64.1133 images/s
[03/18 22:21:25] ppdet.engine INFO: Epoch: [97] [240/458] learning_rate: 0.244198 loss_vfl: 1.297369 loss_bbox: 0.634903 loss_dfl: 0.474319 loss: 2.399993 eta: 21:47:48 batch_cost: 0.7182 data_cost: 0.0508 ips: 89.1056 images/s
[03/18 22:21:40] ppdet.engine INFO: Epoch: [97] [260/458] learning_rate: 0.244135 loss_vfl: 1.267946 loss_bbox: 0.627464 loss_dfl: 0.470230 loss: 2.388552 eta: 21:47:23 batch_cost: 0.6530 data_cost: 0.0722 ips: 98.0042 images/s
[03/18 22:21:56] ppdet.engine INFO: Epoch: [97] [280/458] learning_rate: 0.244073 loss_vfl: 1.298698 loss_bbox: 0.660220 loss_dfl: 0.496756 loss: 2.480456 eta: 21:46:57 batch_cost: 0.6376 data_cost: 0.0019 ips: 100.3756 images/s
[03/18 22:22:16] ppdet.engine INFO: Epoch: [97] [300/458] learning_rate: 0.244010 loss_vfl: 1.218865 loss_bbox: 0.626148 loss_dfl: 0.470730 loss: 2.306752 eta: 21:46:42 batch_cost: 0.8948 data_cost: 0.0051 ips: 71.5249 images/s
[03/18 22:22:34] ppdet.engine INFO: Epoch: [97] [320/458] learning_rate: 0.243948 loss_vfl: 1.285766 loss_bbox: 0.640104 loss_dfl: 0.486334 loss: 2.398498 eta: 21:46:21 batch_cost: 0.7405 data_cost: 0.0004 ips: 86.4287 images/s
[03/18 22:22:57] ppdet.engine INFO: Epoch: [97] [340/458] learning_rate: 0.243886 loss_vfl: 1.257765 loss_bbox: 0.636090 loss_dfl: 0.481456 loss: 2.358439 eta: 21:46:11 batch_cost: 1.0217 data_cost: 0.0683 ips: 62.6382 images/s
[03/18 22:23:18] ppdet.engine INFO: Epoch: [97] [360/458] learning_rate: 0.243823 loss_vfl: 1.282262 loss_bbox: 0.641992 loss_dfl: 0.491767 loss: 2.437323 eta: 21:45:59 batch_cost: 0.9587 data_cost: 0.0053 ips: 66.7554 images/s
[03/18 22:23:38] ppdet.engine INFO: Epoch: [97] [380/458] learning_rate: 0.243761 loss_vfl: 1.262947 loss_bbox: 0.659311 loss_dfl: 0.482601 loss: 2.399472 eta: 21:45:44 batch_cost: 0.8831 data_cost: 0.0048 ips: 72.4719 images/s
[03/18 22:23:59] ppdet.engine INFO: Epoch: [97] [400/458] learning_rate: 0.243698 loss_vfl: 1.300140 loss_bbox: 0.651867 loss_dfl: 0.486628 loss: 2.483626 eta: 21:45:30 batch_cost: 0.9335 data_cost: 0.0058 ips: 68.5581 images/s
[03/18 22:24:17] ppdet.engine INFO: Epoch: [97] [420/458] learning_rate: 0.243636 loss_vfl: 1.248393 loss_bbox: 0.671821 loss_dfl: 0.484713 loss: 2.380144 eta: 21:45:10 batch_cost: 0.7683 data_cost: 0.0022 ips: 83.2993 images/s
[03/18 22:24:38] ppdet.engine INFO: Epoch: [97] [440/458] learning_rate: 0.243573 loss_vfl: 1.320152 loss_bbox: 0.661769 loss_dfl: 0.487218 loss: 2.397266 eta: 21:44:54 batch_cost: 0.8693 data_cost: 0.0051 ips: 73.6197 images/s
[03/18 22:25:01] ppdet.engine INFO: Epoch: [98] [  0/458] learning_rate: 0.243517 loss_vfl: 1.257820 loss_bbox: 0.655232 loss_dfl: 0.481908 loss: 2.374878 eta: 21:44:50 batch_cost: 1.0781 data_cost: 0.3475 ips: 59.3640 images/s
[03/18 22:25:17] ppdet.engine INFO: Epoch: [98] [ 20/458] learning_rate: 0.243454 loss_vfl: 1.344311 loss_bbox: 0.708092 loss_dfl: 0.519804 loss: 2.547647 eta: 21:44:29 batch_cost: 0.7446 data_cost: 0.0260 ips: 85.9506 images/s
[03/18 22:25:38] ppdet.engine INFO: Epoch: [98] [ 40/458] learning_rate: 0.243392 loss_vfl: 1.291765 loss_bbox: 0.611368 loss_dfl: 0.458021 loss: 2.361109 eta: 21:44:14 batch_cost: 0.9117 data_cost: 0.1710 ips: 70.1970 images/s
[03/18 22:25:56] ppdet.engine INFO: Epoch: [98] [ 60/458] learning_rate: 0.243329 loss_vfl: 1.217489 loss_bbox: 0.614837 loss_dfl: 0.452364 loss: 2.291808 eta: 21:43:55 batch_cost: 0.7790 data_cost: 0.0701 ips: 82.1590 images/s
[03/18 22:26:15] ppdet.engine INFO: Epoch: [98] [ 80/458] learning_rate: 0.243267 loss_vfl: 1.306047 loss_bbox: 0.636888 loss_dfl: 0.497029 loss: 2.484674 eta: 21:43:37 batch_cost: 0.8336 data_cost: 0.1241 ips: 76.7722 images/s
[03/18 22:26:35] ppdet.engine INFO: Epoch: [98] [100/458] learning_rate: 0.243204 loss_vfl: 1.269195 loss_bbox: 0.613652 loss_dfl: 0.460494 loss: 2.373561 eta: 21:43:22 batch_cost: 0.8891 data_cost: 0.2260 ips: 71.9860 images/s
[03/18 22:26:55] ppdet.engine INFO: Epoch: [98] [120/458] learning_rate: 0.243141 loss_vfl: 1.289938 loss_bbox: 0.644852 loss_dfl: 0.479601 loss: 2.403163 eta: 21:43:07 batch_cost: 0.8812 data_cost: 0.1750 ips: 72.6245 images/s
[03/18 22:27:14] ppdet.engine INFO: Epoch: [98] [140/458] learning_rate: 0.243079 loss_vfl: 1.259773 loss_bbox: 0.613802 loss_dfl: 0.458310 loss: 2.314284 eta: 21:42:50 batch_cost: 0.8550 data_cost: 0.0043 ips: 74.8558 images/s
[03/18 22:27:36] ppdet.engine INFO: Epoch: [98] [160/458] learning_rate: 0.243016 loss_vfl: 1.289692 loss_bbox: 0.650470 loss_dfl: 0.478977 loss: 2.390703 eta: 21:42:38 batch_cost: 0.9613 data_cost: 0.0068 ips: 66.5797 images/s
[03/18 22:27:55] ppdet.engine INFO: Epoch: [98] [180/458] learning_rate: 0.242953 loss_vfl: 1.288296 loss_bbox: 0.645600 loss_dfl: 0.473542 loss: 2.386024 eta: 21:42:21 batch_cost: 0.8456 data_cost: 0.0030 ips: 75.6833 images/s
[03/18 22:28:12] ppdet.engine INFO: Epoch: [98] [200/458] learning_rate: 0.242891 loss_vfl: 1.285366 loss_bbox: 0.644617 loss_dfl: 0.471546 loss: 2.427565 eta: 21:42:01 batch_cost: 0.7706 data_cost: 0.0035 ips: 83.0541 images/s
[03/18 22:28:32] ppdet.engine INFO: Epoch: [98] [220/458] learning_rate: 0.242828 loss_vfl: 1.329592 loss_bbox: 0.661094 loss_dfl: 0.487832 loss: 2.491185 eta: 21:41:46 batch_cost: 0.8974 data_cost: 0.0079 ips: 71.3145 images/s
[03/18 22:28:48] ppdet.engine INFO: Epoch: [98] [240/458] learning_rate: 0.242765 loss_vfl: 1.276897 loss_bbox: 0.614597 loss_dfl: 0.480685 loss: 2.376171 eta: 21:41:23 batch_cost: 0.6961 data_cost: 0.0020 ips: 91.9459 images/s
[03/18 22:29:03] ppdet.engine INFO: Epoch: [98] [260/458] learning_rate: 0.242702 loss_vfl: 1.345168 loss_bbox: 0.660331 loss_dfl: 0.492172 loss: 2.483632 eta: 21:40:57 batch_cost: 0.6169 data_cost: 0.1436 ips: 103.7519 images/s
[03/18 22:29:18] ppdet.engine INFO: Epoch: [98] [280/458] learning_rate: 0.242640 loss_vfl: 1.240312 loss_bbox: 0.608019 loss_dfl: 0.466362 loss: 2.313134 eta: 21:40:33 batch_cost: 0.6781 data_cost: 0.0250 ips: 94.3831 images/s
[03/18 22:29:38] ppdet.engine INFO: Epoch: [98] [300/458] learning_rate: 0.242577 loss_vfl: 1.279300 loss_bbox: 0.617846 loss_dfl: 0.465976 loss: 2.325227 eta: 21:40:19 batch_cost: 0.9232 data_cost: 0.3038 ips: 69.3224 images/s
[03/18 22:29:57] ppdet.engine INFO: Epoch: [98] [320/458] learning_rate: 0.242514 loss_vfl: 1.199287 loss_bbox: 0.594096 loss_dfl: 0.446325 loss: 2.223148 eta: 21:40:02 batch_cost: 0.8339 data_cost: 0.1567 ips: 76.7471 images/s
[03/18 22:30:17] ppdet.engine INFO: Epoch: [98] [340/458] learning_rate: 0.242451 loss_vfl: 1.226725 loss_bbox: 0.633298 loss_dfl: 0.462895 loss: 2.325363 eta: 21:39:46 batch_cost: 0.8776 data_cost: 0.0510 ips: 72.9265 images/s
[03/18 22:30:36] ppdet.engine INFO: Epoch: [98] [360/458] learning_rate: 0.242388 loss_vfl: 1.274482 loss_bbox: 0.653064 loss_dfl: 0.485719 loss: 2.406392 eta: 21:39:27 batch_cost: 0.8006 data_cost: 0.0085 ips: 79.9435 images/s
[03/18 22:30:53] ppdet.engine INFO: Epoch: [98] [380/458] learning_rate: 0.242325 loss_vfl: 1.285733 loss_bbox: 0.637115 loss_dfl: 0.477182 loss: 2.416749 eta: 21:39:06 batch_cost: 0.7365 data_cost: 0.0698 ips: 86.8942 images/s
[03/18 22:31:12] ppdet.engine INFO: Epoch: [98] [400/458] learning_rate: 0.242263 loss_vfl: 1.218277 loss_bbox: 0.634681 loss_dfl: 0.469474 loss: 2.324560 eta: 21:38:46 batch_cost: 0.7855 data_cost: 0.0002 ips: 81.4734 images/s
[03/18 22:31:32] ppdet.engine INFO: Epoch: [98] [420/458] learning_rate: 0.242200 loss_vfl: 1.283150 loss_bbox: 0.629020 loss_dfl: 0.468862 loss: 2.371620 eta: 21:38:32 batch_cost: 0.9121 data_cost: 0.3545 ips: 70.1644 images/s
[03/18 22:31:53] ppdet.engine INFO: Epoch: [98] [440/458] learning_rate: 0.242137 loss_vfl: 1.246598 loss_bbox: 0.618462 loss_dfl: 0.454687 loss: 2.339205 eta: 21:38:20 batch_cost: 0.9692 data_cost: 0.2382 ips: 66.0349 images/s
[03/18 22:32:16] ppdet.engine INFO: Epoch: [99] [  0/458] learning_rate: 0.242080 loss_vfl: 1.230144 loss_bbox: 0.615134 loss_dfl: 0.451876 loss: 2.267174 eta: 21:38:14 batch_cost: 1.0377 data_cost: 0.4009 ips: 61.6750 images/s
[03/18 22:32:37] ppdet.engine INFO: Epoch: [99] [ 20/458] learning_rate: 0.242017 loss_vfl: 1.289490 loss_bbox: 0.649953 loss_dfl: 0.481304 loss: 2.432307 eta: 21:38:00 batch_cost: 0.9198 data_cost: 0.0226 ips: 69.5824 images/s
[03/18 22:32:54] ppdet.engine INFO: Epoch: [99] [ 40/458] learning_rate: 0.241954 loss_vfl: 1.233870 loss_bbox: 0.619891 loss_dfl: 0.459347 loss: 2.347232 eta: 21:37:38 batch_cost: 0.7203 data_cost: 0.0077 ips: 88.8474 images/s
[03/18 22:33:16] ppdet.engine INFO: Epoch: [99] [ 60/458] learning_rate: 0.241891 loss_vfl: 1.247379 loss_bbox: 0.603393 loss_dfl: 0.454413 loss: 2.311361 eta: 21:37:27 batch_cost: 0.9744 data_cost: 0.2540 ips: 65.6820 images/s
[03/18 22:33:37] ppdet.engine INFO: Epoch: [99] [ 80/458] learning_rate: 0.241828 loss_vfl: 1.267730 loss_bbox: 0.625778 loss_dfl: 0.484175 loss: 2.395525 eta: 21:37:15 batch_cost: 0.9799 data_cost: 0.3797 ips: 65.3138 images/s
[03/18 22:33:57] ppdet.engine INFO: Epoch: [99] [100/458] learning_rate: 0.241765 loss_vfl: 1.287633 loss_bbox: 0.634155 loss_dfl: 0.479348 loss: 2.404732 eta: 21:37:00 batch_cost: 0.8812 data_cost: 0.2166 ips: 72.6250 images/s
[03/18 22:34:17] ppdet.engine INFO: Epoch: [99] [120/458] learning_rate: 0.241702 loss_vfl: 1.267693 loss_bbox: 0.616567 loss_dfl: 0.464354 loss: 2.368875 eta: 21:36:47 batch_cost: 0.9488 data_cost: 0.4389 ips: 67.4528 images/s
[03/18 22:34:38] ppdet.engine INFO: Epoch: [99] [140/458] learning_rate: 0.241639 loss_vfl: 1.314089 loss_bbox: 0.660285 loss_dfl: 0.490322 loss: 2.480876 eta: 21:36:33 batch_cost: 0.9357 data_cost: 0.3995 ips: 68.4015 images/s
[03/18 22:34:57] ppdet.engine INFO: Epoch: [99] [160/458] learning_rate: 0.241576 loss_vfl: 1.305079 loss_bbox: 0.672726 loss_dfl: 0.499418 loss: 2.450526 eta: 21:36:17 batch_cost: 0.8574 data_cost: 0.3310 ips: 74.6444 images/s
[03/18 22:35:18] ppdet.engine INFO: Epoch: [99] [180/458] learning_rate: 0.241513 loss_vfl: 1.242969 loss_bbox: 0.648259 loss_dfl: 0.480790 loss: 2.381994 eta: 21:36:05 batch_cost: 0.9804 data_cost: 0.4655 ips: 65.2811 images/s
[03/18 22:35:38] ppdet.engine INFO: Epoch: [99] [200/458] learning_rate: 0.241450 loss_vfl: 1.304638 loss_bbox: 0.661504 loss_dfl: 0.484908 loss: 2.481630 eta: 21:35:53 batch_cost: 0.9473 data_cost: 0.0571 ips: 67.5594 images/s
[03/18 22:35:57] ppdet.engine INFO: Epoch: [99] [220/458] learning_rate: 0.241387 loss_vfl: 1.254935 loss_bbox: 0.632029 loss_dfl: 0.476347 loss: 2.387893 eta: 21:35:37 batch_cost: 0.8803 data_cost: 0.0238 ips: 72.7035 images/s
[03/18 22:36:11] ppdet.engine INFO: Epoch: [99] [240/458] learning_rate: 0.241324 loss_vfl: 1.258350 loss_bbox: 0.608862 loss_dfl: 0.460922 loss: 2.349936 eta: 21:35:10 batch_cost: 0.5973 data_cost: 0.0016 ips: 107.1422 images/s
[03/18 22:36:26] ppdet.engine INFO: Epoch: [99] [260/458] learning_rate: 0.241260 loss_vfl: 1.338281 loss_bbox: 0.667954 loss_dfl: 0.500162 loss: 2.523816 eta: 21:34:46 batch_cost: 0.6660 data_cost: 0.0254 ips: 96.1020 images/s
[03/18 22:36:44] ppdet.engine INFO: Epoch: [99] [280/458] learning_rate: 0.241197 loss_vfl: 1.259904 loss_bbox: 0.620396 loss_dfl: 0.466264 loss: 2.360042 eta: 21:34:27 batch_cost: 0.8085 data_cost: 0.1587 ips: 79.1630 images/s
[03/18 22:37:05] ppdet.engine INFO: Epoch: [99] [300/458] learning_rate: 0.241134 loss_vfl: 1.254507 loss_bbox: 0.623192 loss_dfl: 0.466089 loss: 2.325831 eta: 21:34:16 batch_cost: 0.9868 data_cost: 0.0380 ips: 64.8593 images/s
[03/18 22:37:25] ppdet.engine INFO: Epoch: [99] [320/458] learning_rate: 0.241071 loss_vfl: 1.326103 loss_bbox: 0.633959 loss_dfl: 0.471704 loss: 2.406248 eta: 21:34:00 batch_cost: 0.8653 data_cost: 0.0076 ips: 73.9619 images/s
[03/18 22:37:47] ppdet.engine INFO: Epoch: [99] [340/458] learning_rate: 0.241008 loss_vfl: 1.249522 loss_bbox: 0.657657 loss_dfl: 0.486729 loss: 2.385338 eta: 21:33:50 batch_cost: 1.0114 data_cost: 0.1711 ips: 63.2812 images/s
[03/18 22:38:05] ppdet.engine INFO: Epoch: [99] [360/458] learning_rate: 0.240944 loss_vfl: 1.243096 loss_bbox: 0.609473 loss_dfl: 0.457596 loss: 2.349740 eta: 21:33:32 batch_cost: 0.8322 data_cost: 0.0808 ips: 76.9042 images/s
[03/18 22:38:25] ppdet.engine INFO: Epoch: [99] [380/458] learning_rate: 0.240881 loss_vfl: 1.285667 loss_bbox: 0.614812 loss_dfl: 0.470153 loss: 2.402301 eta: 21:33:17 batch_cost: 0.8844 data_cost: 0.2191 ips: 72.3631 images/s
[03/18 22:38:46] ppdet.engine INFO: Epoch: [99] [400/458] learning_rate: 0.240818 loss_vfl: 1.243009 loss_bbox: 0.624147 loss_dfl: 0.459892 loss: 2.309034 eta: 21:33:04 batch_cost: 0.9579 data_cost: 0.0486 ips: 66.8148 images/s
[03/18 22:39:07] ppdet.engine INFO: Epoch: [99] [420/458] learning_rate: 0.240754 loss_vfl: 1.199095 loss_bbox: 0.623475 loss_dfl: 0.464463 loss: 2.296951 eta: 21:32:53 batch_cost: 0.9796 data_cost: 0.1130 ips: 65.3315 images/s
[03/18 22:39:27] ppdet.engine INFO: Epoch: [99] [440/458] learning_rate: 0.240691 loss_vfl: 1.231432 loss_bbox: 0.585933 loss_dfl: 0.440450 loss: 2.245591 eta: 21:32:37 batch_cost: 0.8766 data_cost: 0.2338 ips: 73.0110 images/s
[03/18 22:39:39] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 22:39:39] ppdet.engine INFO: Eval iter: 0
[03/18 22:39:57] ppdet.engine INFO: Eval iter: 100
[03/18 22:40:08] ppdet.engine INFO: Eval iter: 200
[03/18 22:40:19] ppdet.engine INFO: Eval iter: 300
[03/18 22:40:30] ppdet.engine INFO: Eval iter: 400
[03/18 22:40:41] ppdet.engine INFO: Eval iter: 500
[03/18 22:40:52] ppdet.engine INFO: Eval iter: 600
[03/18 22:41:06] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.95s)
creating index...
index created!
[03/18 22:41:07] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.34s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.97s).
Accumulating evaluation results...
DONE (t=14.68s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.196
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.312
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.203
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.057
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.188
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.345
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.216
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.344
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.364
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.097
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.396
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.622
[03/18 22:42:46] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.40023026271469
[03/18 22:42:46] ppdet.engine INFO: Best test bbox ap is 0.196.
[03/18 22:42:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 22:42:47] ppdet.engine INFO: Epoch: [100] [  0/458] learning_rate: 0.240634 loss_vfl: 1.251390 loss_bbox: 0.605442 loss_dfl: 0.453086 loss: 2.278456 eta: 21:32:12 batch_cost: 0.5693 data_cost: 0.2047 ips: 112.4161 images/s
[03/18 22:42:59] ppdet.engine INFO: Epoch: [100] [ 20/458] learning_rate: 0.240571 loss_vfl: 1.007401 loss_bbox: 0.525811 loss_dfl: 0.446042 loss: 2.013046 eta: 21:31:42 batch_cost: 0.5307 data_cost: 0.1174 ips: 120.5988 images/s
[03/18 22:43:16] ppdet.engine INFO: Epoch: [100] [ 40/458] learning_rate: 0.240507 loss_vfl: 1.005411 loss_bbox: 0.503764 loss_dfl: 0.426670 loss: 1.946514 eta: 21:31:22 batch_cost: 0.7599 data_cost: 0.0012 ips: 84.2259 images/s
[03/18 22:43:34] ppdet.engine INFO: Epoch: [100] [ 60/458] learning_rate: 0.240444 loss_vfl: 1.071340 loss_bbox: 0.513814 loss_dfl: 0.455209 loss: 2.058957 eta: 21:31:03 batch_cost: 0.8063 data_cost: 0.0065 ips: 79.3701 images/s
[03/18 22:43:54] ppdet.engine INFO: Epoch: [100] [ 80/458] learning_rate: 0.240381 loss_vfl: 1.078858 loss_bbox: 0.522591 loss_dfl: 0.460202 loss: 2.067814 eta: 21:30:50 batch_cost: 0.9350 data_cost: 0.0007 ips: 68.4517 images/s
[03/18 22:44:17] ppdet.engine INFO: Epoch: [100] [100/458] learning_rate: 0.240317 loss_vfl: 1.073661 loss_bbox: 0.527711 loss_dfl: 0.463775 loss: 2.072613 eta: 21:30:41 batch_cost: 1.0564 data_cost: 0.1277 ips: 60.5844 images/s
[03/18 22:44:38] ppdet.engine INFO: Epoch: [100] [120/458] learning_rate: 0.240254 loss_vfl: 1.036689 loss_bbox: 0.497703 loss_dfl: 0.435294 loss: 1.963712 eta: 21:30:31 batch_cost: 1.0156 data_cost: 0.1840 ips: 63.0186 images/s
[03/18 22:45:00] ppdet.engine INFO: Epoch: [100] [140/458] learning_rate: 0.240190 loss_vfl: 1.025160 loss_bbox: 0.494482 loss_dfl: 0.439293 loss: 1.960704 eta: 21:30:20 batch_cost: 0.9883 data_cost: 0.2193 ips: 64.7605 images/s
[03/18 22:45:21] ppdet.engine INFO: Epoch: [100] [160/458] learning_rate: 0.240127 loss_vfl: 1.070665 loss_bbox: 0.517690 loss_dfl: 0.466046 loss: 2.065711 eta: 21:30:07 batch_cost: 0.9561 data_cost: 0.1102 ips: 66.9365 images/s
[03/18 22:45:41] ppdet.engine INFO: Epoch: [100] [180/458] learning_rate: 0.240063 loss_vfl: 1.062476 loss_bbox: 0.490560 loss_dfl: 0.441956 loss: 1.982475 eta: 21:29:55 batch_cost: 0.9564 data_cost: 0.2443 ips: 66.9208 images/s
[03/18 22:46:07] ppdet.engine INFO: Epoch: [100] [200/458] learning_rate: 0.240000 loss_vfl: 1.136345 loss_bbox: 0.525280 loss_dfl: 0.463523 loss: 2.121156 eta: 21:29:52 batch_cost: 1.2007 data_cost: 0.0874 ips: 53.3016 images/s
[03/18 22:46:28] ppdet.engine INFO: Epoch: [100] [220/458] learning_rate: 0.239936 loss_vfl: 1.059635 loss_bbox: 0.486712 loss_dfl: 0.433733 loss: 1.991116 eta: 21:29:40 batch_cost: 0.9773 data_cost: 0.4786 ips: 65.4834 images/s
[03/18 22:46:49] ppdet.engine INFO: Epoch: [100] [240/458] learning_rate: 0.239873 loss_vfl: 1.023493 loss_bbox: 0.458780 loss_dfl: 0.417364 loss: 1.897900 eta: 21:29:28 batch_cost: 0.9797 data_cost: 0.3817 ips: 65.3275 images/s
[03/18 22:47:11] ppdet.engine INFO: Epoch: [100] [260/458] learning_rate: 0.239809 loss_vfl: 0.999082 loss_bbox: 0.476662 loss_dfl: 0.412772 loss: 1.858957 eta: 21:29:19 batch_cost: 1.0375 data_cost: 0.5997 ips: 61.6889 images/s
[03/18 22:47:29] ppdet.engine INFO: Epoch: [100] [280/458] learning_rate: 0.239746 loss_vfl: 1.090952 loss_bbox: 0.503312 loss_dfl: 0.447786 loss: 2.046563 eta: 21:29:01 batch_cost: 0.8226 data_cost: 0.2980 ips: 77.8042 images/s
[03/18 22:47:52] ppdet.engine INFO: Epoch: [100] [300/458] learning_rate: 0.239682 loss_vfl: 1.052793 loss_bbox: 0.492248 loss_dfl: 0.435592 loss: 1.997640 eta: 21:28:52 batch_cost: 1.0577 data_cost: 0.5482 ips: 60.5080 images/s
[03/18 22:48:14] ppdet.engine INFO: Epoch: [100] [320/458] learning_rate: 0.239619 loss_vfl: 1.110909 loss_bbox: 0.519171 loss_dfl: 0.462698 loss: 2.092747 eta: 21:28:44 batch_cost: 1.0518 data_cost: 0.5366 ips: 60.8454 images/s
[03/18 22:48:35] ppdet.engine INFO: Epoch: [100] [340/458] learning_rate: 0.239555 loss_vfl: 1.018302 loss_bbox: 0.469039 loss_dfl: 0.417118 loss: 1.896005 eta: 21:28:31 batch_cost: 0.9675 data_cost: 0.5148 ips: 66.1478 images/s
[03/18 22:48:56] ppdet.engine INFO: Epoch: [100] [360/458] learning_rate: 0.239491 loss_vfl: 1.068325 loss_bbox: 0.507626 loss_dfl: 0.440696 loss: 2.005680 eta: 21:28:20 batch_cost: 0.9994 data_cost: 0.4637 ips: 64.0394 images/s
[03/18 22:49:16] ppdet.engine INFO: Epoch: [100] [380/458] learning_rate: 0.239428 loss_vfl: 1.106859 loss_bbox: 0.519765 loss_dfl: 0.461868 loss: 2.089421 eta: 21:28:04 batch_cost: 0.8718 data_cost: 0.4182 ips: 73.4103 images/s
[03/18 22:49:37] ppdet.engine INFO: Epoch: [100] [400/458] learning_rate: 0.239364 loss_vfl: 1.081973 loss_bbox: 0.504178 loss_dfl: 0.443067 loss: 2.022279 eta: 21:27:53 batch_cost: 0.9835 data_cost: 0.5536 ips: 65.0750 images/s
[03/18 22:49:56] ppdet.engine INFO: Epoch: [100] [420/458] learning_rate: 0.239300 loss_vfl: 1.042850 loss_bbox: 0.496946 loss_dfl: 0.437495 loss: 1.969354 eta: 21:27:36 batch_cost: 0.8514 data_cost: 0.3441 ips: 75.1710 images/s
[03/18 22:50:12] ppdet.engine INFO: Epoch: [100] [440/458] learning_rate: 0.239237 loss_vfl: 1.080557 loss_bbox: 0.499341 loss_dfl: 0.437878 loss: 1.996304 eta: 21:27:15 batch_cost: 0.7374 data_cost: 0.2722 ips: 86.7965 images/s
[03/18 22:50:28] ppdet.engine INFO: Epoch: [101] [  0/458] learning_rate: 0.239179 loss_vfl: 1.079204 loss_bbox: 0.519941 loss_dfl: 0.452481 loss: 2.041857 eta: 21:26:58 batch_cost: 0.8509 data_cost: 0.4450 ips: 75.2120 images/s
[03/18 22:50:49] ppdet.engine INFO: Epoch: [101] [ 20/458] learning_rate: 0.239116 loss_vfl: 1.072237 loss_bbox: 0.508343 loss_dfl: 0.449830 loss: 2.015757 eta: 21:26:43 batch_cost: 0.8906 data_cost: 0.2035 ips: 71.8629 images/s
[03/18 22:51:06] ppdet.engine INFO: Epoch: [101] [ 40/458] learning_rate: 0.239052 loss_vfl: 1.022261 loss_bbox: 0.471753 loss_dfl: 0.430220 loss: 1.922476 eta: 21:26:24 batch_cost: 0.7890 data_cost: 0.0787 ips: 81.1133 images/s
[03/18 22:51:27] ppdet.engine INFO: Epoch: [101] [ 60/458] learning_rate: 0.238988 loss_vfl: 0.994462 loss_bbox: 0.456999 loss_dfl: 0.409229 loss: 1.865456 eta: 21:26:08 batch_cost: 0.8837 data_cost: 0.2622 ips: 72.4240 images/s
[03/18 22:51:47] ppdet.engine INFO: Epoch: [101] [ 80/458] learning_rate: 0.238924 loss_vfl: 1.061392 loss_bbox: 0.497035 loss_dfl: 0.446723 loss: 1.988015 eta: 21:25:54 batch_cost: 0.9333 data_cost: 0.4124 ips: 68.5738 images/s
[03/18 22:52:06] ppdet.engine INFO: Epoch: [101] [100/458] learning_rate: 0.238861 loss_vfl: 1.088346 loss_bbox: 0.482471 loss_dfl: 0.441090 loss: 2.018020 eta: 21:25:39 batch_cost: 0.8876 data_cost: 0.2121 ips: 72.1085 images/s
[03/18 22:52:24] ppdet.engine INFO: Epoch: [101] [120/458] learning_rate: 0.238797 loss_vfl: 1.054946 loss_bbox: 0.465685 loss_dfl: 0.436016 loss: 1.951890 eta: 21:25:19 batch_cost: 0.7678 data_cost: 0.0041 ips: 83.3578 images/s
[03/18 22:52:42] ppdet.engine INFO: Epoch: [101] [140/458] learning_rate: 0.238733 loss_vfl: 1.044613 loss_bbox: 0.492551 loss_dfl: 0.444357 loss: 1.988998 eta: 21:25:00 batch_cost: 0.7916 data_cost: 0.1654 ips: 80.8478 images/s
[03/18 22:53:01] ppdet.engine INFO: Epoch: [101] [160/458] learning_rate: 0.238669 loss_vfl: 1.036680 loss_bbox: 0.487204 loss_dfl: 0.439462 loss: 1.952764 eta: 21:24:42 batch_cost: 0.8310 data_cost: 0.2032 ips: 77.0140 images/s
[03/18 22:53:20] ppdet.engine INFO: Epoch: [101] [180/458] learning_rate: 0.238605 loss_vfl: 1.056257 loss_bbox: 0.489127 loss_dfl: 0.426275 loss: 1.960884 eta: 21:24:24 batch_cost: 0.8182 data_cost: 0.1468 ips: 78.2239 images/s
[03/18 22:53:41] ppdet.engine INFO: Epoch: [101] [200/458] learning_rate: 0.238541 loss_vfl: 1.086189 loss_bbox: 0.495405 loss_dfl: 0.453050 loss: 2.047926 eta: 21:24:09 batch_cost: 0.8944 data_cost: 0.2882 ips: 71.5579 images/s
[03/18 22:54:01] ppdet.engine INFO: Epoch: [101] [220/458] learning_rate: 0.238478 loss_vfl: 1.016618 loss_bbox: 0.476444 loss_dfl: 0.424164 loss: 1.911920 eta: 21:23:54 batch_cost: 0.8850 data_cost: 0.3280 ips: 72.3179 images/s
[03/18 22:54:20] ppdet.engine INFO: Epoch: [101] [240/458] learning_rate: 0.238414 loss_vfl: 1.073306 loss_bbox: 0.501176 loss_dfl: 0.440228 loss: 2.028477 eta: 21:23:38 batch_cost: 0.8833 data_cost: 0.3449 ips: 72.4591 images/s
[03/18 22:54:42] ppdet.engine INFO: Epoch: [101] [260/458] learning_rate: 0.238350 loss_vfl: 1.088232 loss_bbox: 0.505755 loss_dfl: 0.455238 loss: 2.043247 eta: 21:23:27 batch_cost: 0.9830 data_cost: 0.4560 ips: 65.1050 images/s
[03/18 22:54:59] ppdet.engine INFO: Epoch: [101] [280/458] learning_rate: 0.238286 loss_vfl: 1.043052 loss_bbox: 0.483316 loss_dfl: 0.429334 loss: 1.950328 eta: 21:23:06 batch_cost: 0.7467 data_cost: 0.1910 ips: 85.7137 images/s
[03/18 22:55:19] ppdet.engine INFO: Epoch: [101] [300/458] learning_rate: 0.238222 loss_vfl: 1.109566 loss_bbox: 0.538180 loss_dfl: 0.483519 loss: 2.144722 eta: 21:22:51 batch_cost: 0.9174 data_cost: 0.2697 ips: 69.7599 images/s
[03/18 22:55:35] ppdet.engine INFO: Epoch: [101] [320/458] learning_rate: 0.238158 loss_vfl: 1.038137 loss_bbox: 0.459983 loss_dfl: 0.411913 loss: 1.894541 eta: 21:22:25 batch_cost: 0.5984 data_cost: 0.0045 ips: 106.9565 images/s
[03/18 22:55:58] ppdet.engine INFO: Epoch: [101] [340/458] learning_rate: 0.238094 loss_vfl: 1.096468 loss_bbox: 0.496953 loss_dfl: 0.455278 loss: 2.028902 eta: 21:22:17 batch_cost: 1.0721 data_cost: 0.4753 ips: 59.6975 images/s
[03/18 22:56:16] ppdet.engine INFO: Epoch: [101] [360/458] learning_rate: 0.238030 loss_vfl: 1.027477 loss_bbox: 0.484486 loss_dfl: 0.432416 loss: 1.953199 eta: 21:21:58 batch_cost: 0.8028 data_cost: 0.2620 ips: 79.7196 images/s
[03/18 22:56:35] ppdet.engine INFO: Epoch: [101] [380/458] learning_rate: 0.237966 loss_vfl: 1.071409 loss_bbox: 0.499656 loss_dfl: 0.439209 loss: 1.984463 eta: 21:21:40 batch_cost: 0.8201 data_cost: 0.2193 ips: 78.0367 images/s
[03/18 22:56:54] ppdet.engine INFO: Epoch: [101] [400/458] learning_rate: 0.237902 loss_vfl: 1.112620 loss_bbox: 0.468838 loss_dfl: 0.442930 loss: 2.028033 eta: 21:21:22 batch_cost: 0.8302 data_cost: 0.2832 ips: 77.0891 images/s
[03/18 22:57:12] ppdet.engine INFO: Epoch: [101] [420/458] learning_rate: 0.237838 loss_vfl: 1.057818 loss_bbox: 0.486496 loss_dfl: 0.434522 loss: 1.958217 eta: 21:21:03 batch_cost: 0.7914 data_cost: 0.2910 ips: 80.8712 images/s
[03/18 22:57:27] ppdet.engine INFO: Epoch: [101] [440/458] learning_rate: 0.237774 loss_vfl: 1.065145 loss_bbox: 0.485092 loss_dfl: 0.434087 loss: 1.968057 eta: 21:20:39 batch_cost: 0.6563 data_cost: 0.2306 ips: 97.5161 images/s
[03/18 22:57:46] ppdet.engine INFO: Epoch: [102] [  0/458] learning_rate: 0.237716 loss_vfl: 1.126327 loss_bbox: 0.517051 loss_dfl: 0.463645 loss: 2.101729 eta: 21:20:27 batch_cost: 0.9621 data_cost: 0.4373 ips: 66.5229 images/s
[03/18 22:58:05] ppdet.engine INFO: Epoch: [102] [ 20/458] learning_rate: 0.237652 loss_vfl: 1.036993 loss_bbox: 0.466944 loss_dfl: 0.428825 loss: 1.937719 eta: 21:20:10 batch_cost: 0.8470 data_cost: 0.0024 ips: 75.5570 images/s
[03/18 22:58:23] ppdet.engine INFO: Epoch: [102] [ 40/458] learning_rate: 0.237588 loss_vfl: 1.086494 loss_bbox: 0.481530 loss_dfl: 0.455426 loss: 2.029808 eta: 21:19:51 batch_cost: 0.7803 data_cost: 0.0033 ips: 82.0170 images/s
[03/18 22:58:45] ppdet.engine INFO: Epoch: [102] [ 60/458] learning_rate: 0.237524 loss_vfl: 1.071430 loss_bbox: 0.498293 loss_dfl: 0.452008 loss: 2.027962 eta: 21:19:38 batch_cost: 0.9589 data_cost: 0.0203 ips: 66.7418 images/s
[03/18 22:59:05] ppdet.engine INFO: Epoch: [102] [ 80/458] learning_rate: 0.237459 loss_vfl: 1.061019 loss_bbox: 0.500567 loss_dfl: 0.445961 loss: 2.010641 eta: 21:19:24 batch_cost: 0.9278 data_cost: 0.1554 ips: 68.9810 images/s
[03/18 22:59:24] ppdet.engine INFO: Epoch: [102] [100/458] learning_rate: 0.237395 loss_vfl: 1.070258 loss_bbox: 0.486289 loss_dfl: 0.431925 loss: 1.975185 eta: 21:19:07 batch_cost: 0.8256 data_cost: 0.3236 ips: 77.5229 images/s
[03/18 22:59:45] ppdet.engine INFO: Epoch: [102] [120/458] learning_rate: 0.237331 loss_vfl: 1.085953 loss_bbox: 0.493040 loss_dfl: 0.441643 loss: 2.020115 eta: 21:18:54 batch_cost: 0.9704 data_cost: 0.0245 ips: 65.9512 images/s
[03/18 23:00:05] ppdet.engine INFO: Epoch: [102] [140/458] learning_rate: 0.237267 loss_vfl: 1.068858 loss_bbox: 0.496898 loss_dfl: 0.450874 loss: 2.002471 eta: 21:18:40 batch_cost: 0.9209 data_cost: 0.3958 ips: 69.5008 images/s
[03/18 23:00:27] ppdet.engine INFO: Epoch: [102] [160/458] learning_rate: 0.237203 loss_vfl: 1.056113 loss_bbox: 0.491060 loss_dfl: 0.442120 loss: 1.977121 eta: 21:18:27 batch_cost: 0.9492 data_cost: 0.4708 ips: 67.4250 images/s
[03/18 23:00:46] ppdet.engine INFO: Epoch: [102] [180/458] learning_rate: 0.237138 loss_vfl: 1.056842 loss_bbox: 0.505367 loss_dfl: 0.447909 loss: 2.031988 eta: 21:18:13 batch_cost: 0.9138 data_cost: 0.2933 ips: 70.0396 images/s
[03/18 23:01:07] ppdet.engine INFO: Epoch: [102] [200/458] learning_rate: 0.237074 loss_vfl: 1.049493 loss_bbox: 0.485292 loss_dfl: 0.426697 loss: 1.915888 eta: 21:18:00 batch_cost: 0.9461 data_cost: 0.2420 ips: 67.6453 images/s
[03/18 23:01:29] ppdet.engine INFO: Epoch: [102] [220/458] learning_rate: 0.237010 loss_vfl: 1.043124 loss_bbox: 0.476249 loss_dfl: 0.425112 loss: 1.935088 eta: 21:17:49 batch_cost: 0.9969 data_cost: 0.3716 ips: 64.2007 images/s
[03/18 23:01:47] ppdet.engine INFO: Epoch: [102] [240/458] learning_rate: 0.236946 loss_vfl: 1.064223 loss_bbox: 0.496243 loss_dfl: 0.442200 loss: 1.994494 eta: 21:17:30 batch_cost: 0.8081 data_cost: 0.3001 ips: 79.1989 images/s
[03/18 23:02:07] ppdet.engine INFO: Epoch: [102] [260/458] learning_rate: 0.236881 loss_vfl: 1.090269 loss_bbox: 0.491860 loss_dfl: 0.460910 loss: 2.048119 eta: 21:17:17 batch_cost: 0.9453 data_cost: 0.4845 ips: 67.7001 images/s
[03/18 23:02:29] ppdet.engine INFO: Epoch: [102] [280/458] learning_rate: 0.236817 loss_vfl: 1.070132 loss_bbox: 0.473758 loss_dfl: 0.446311 loss: 1.999022 eta: 21:17:04 batch_cost: 0.9563 data_cost: 0.4246 ips: 66.9213 images/s
[03/18 23:02:49] ppdet.engine INFO: Epoch: [102] [300/458] learning_rate: 0.236753 loss_vfl: 1.059087 loss_bbox: 0.493842 loss_dfl: 0.454806 loss: 2.028152 eta: 21:16:49 batch_cost: 0.8999 data_cost: 0.2478 ips: 71.1156 images/s
[03/18 23:03:08] ppdet.engine INFO: Epoch: [102] [320/458] learning_rate: 0.236688 loss_vfl: 1.135525 loss_bbox: 0.528737 loss_dfl: 0.466115 loss: 2.120137 eta: 21:16:32 batch_cost: 0.8416 data_cost: 0.0933 ips: 76.0445 images/s
[03/18 23:03:32] ppdet.engine INFO: Epoch: [102] [340/458] learning_rate: 0.236624 loss_vfl: 1.048447 loss_bbox: 0.457634 loss_dfl: 0.431163 loss: 1.932727 eta: 21:16:25 batch_cost: 1.0990 data_cost: 0.5271 ips: 58.2345 images/s
[03/18 23:03:51] ppdet.engine INFO: Epoch: [102] [360/458] learning_rate: 0.236560 loss_vfl: 1.070080 loss_bbox: 0.502305 loss_dfl: 0.447737 loss: 2.017684 eta: 21:16:06 batch_cost: 0.8095 data_cost: 0.2867 ips: 79.0588 images/s
[03/18 23:04:13] ppdet.engine INFO: Epoch: [102] [380/458] learning_rate: 0.236495 loss_vfl: 1.108983 loss_bbox: 0.501459 loss_dfl: 0.451312 loss: 2.067961 eta: 21:15:54 batch_cost: 0.9748 data_cost: 0.4249 ips: 65.6535 images/s
[03/18 23:04:28] ppdet.engine INFO: Epoch: [102] [400/458] learning_rate: 0.236431 loss_vfl: 1.076096 loss_bbox: 0.484135 loss_dfl: 0.437758 loss: 1.990406 eta: 21:15:31 batch_cost: 0.6831 data_cost: 0.2294 ips: 93.6874 images/s
[03/18 23:04:42] ppdet.engine INFO: Epoch: [102] [420/458] learning_rate: 0.236366 loss_vfl: 1.088385 loss_bbox: 0.497282 loss_dfl: 0.447728 loss: 2.064286 eta: 21:15:05 batch_cost: 0.6138 data_cost: 0.2387 ips: 104.2639 images/s
[03/18 23:05:02] ppdet.engine INFO: Epoch: [102] [440/458] learning_rate: 0.236302 loss_vfl: 1.096469 loss_bbox: 0.509853 loss_dfl: 0.454545 loss: 2.048901 eta: 21:14:51 batch_cost: 0.9169 data_cost: 0.4035 ips: 69.7969 images/s
[03/18 23:05:25] ppdet.engine INFO: Epoch: [103] [  0/458] learning_rate: 0.236244 loss_vfl: 1.053727 loss_bbox: 0.485624 loss_dfl: 0.439742 loss: 1.975329 eta: 21:14:46 batch_cost: 1.0828 data_cost: 0.7006 ips: 59.1044 images/s
[03/18 23:05:47] ppdet.engine INFO: Epoch: [103] [ 20/458] learning_rate: 0.236179 loss_vfl: 1.063233 loss_bbox: 0.479746 loss_dfl: 0.433220 loss: 1.958579 eta: 21:14:35 batch_cost: 1.0062 data_cost: 0.5352 ips: 63.6033 images/s
[03/18 23:06:09] ppdet.engine INFO: Epoch: [103] [ 40/458] learning_rate: 0.236115 loss_vfl: 1.090947 loss_bbox: 0.480998 loss_dfl: 0.441523 loss: 2.026593 eta: 21:14:25 batch_cost: 1.0183 data_cost: 0.1932 ips: 62.8528 images/s
[03/18 23:06:31] ppdet.engine INFO: Epoch: [103] [ 60/458] learning_rate: 0.236050 loss_vfl: 1.061520 loss_bbox: 0.478258 loss_dfl: 0.443066 loss: 1.977129 eta: 21:14:15 batch_cost: 1.0391 data_cost: 0.4149 ips: 61.5899 images/s
[03/18 23:06:52] ppdet.engine INFO: Epoch: [103] [ 80/458] learning_rate: 0.235986 loss_vfl: 1.075211 loss_bbox: 0.485516 loss_dfl: 0.440444 loss: 2.005800 eta: 21:14:04 batch_cost: 0.9968 data_cost: 0.3020 ips: 64.2050 images/s
[03/18 23:07:10] ppdet.engine INFO: Epoch: [103] [100/458] learning_rate: 0.235921 loss_vfl: 1.074991 loss_bbox: 0.498402 loss_dfl: 0.454431 loss: 2.029228 eta: 21:13:45 batch_cost: 0.8129 data_cost: 0.2015 ips: 78.7295 images/s
[03/18 23:07:30] ppdet.engine INFO: Epoch: [103] [120/458] learning_rate: 0.235857 loss_vfl: 1.020257 loss_bbox: 0.481009 loss_dfl: 0.421308 loss: 1.922962 eta: 21:13:31 batch_cost: 0.9147 data_cost: 0.1738 ips: 69.9684 images/s
[03/18 23:07:51] ppdet.engine INFO: Epoch: [103] [140/458] learning_rate: 0.235792 loss_vfl: 1.073640 loss_bbox: 0.498946 loss_dfl: 0.443786 loss: 2.004401 eta: 21:13:19 batch_cost: 0.9801 data_cost: 0.3908 ips: 65.3021 images/s
[03/18 23:08:14] ppdet.engine INFO: Epoch: [103] [160/458] learning_rate: 0.235728 loss_vfl: 1.055292 loss_bbox: 0.490212 loss_dfl: 0.454472 loss: 2.021079 eta: 21:13:09 batch_cost: 1.0315 data_cost: 0.5350 ips: 62.0444 images/s
[03/18 23:08:35] ppdet.engine INFO: Epoch: [103] [180/458] learning_rate: 0.235663 loss_vfl: 1.043388 loss_bbox: 0.488653 loss_dfl: 0.435267 loss: 1.960738 eta: 21:12:57 batch_cost: 0.9765 data_cost: 0.4689 ips: 65.5384 images/s
[03/18 23:08:56] ppdet.engine INFO: Epoch: [103] [200/458] learning_rate: 0.235598 loss_vfl: 1.057958 loss_bbox: 0.498636 loss_dfl: 0.437023 loss: 1.951766 eta: 21:12:45 batch_cost: 0.9883 data_cost: 0.3213 ips: 64.7608 images/s
[03/18 23:09:17] ppdet.engine INFO: Epoch: [103] [220/458] learning_rate: 0.235534 loss_vfl: 1.055092 loss_bbox: 0.503984 loss_dfl: 0.438634 loss: 1.965436 eta: 21:12:32 batch_cost: 0.9583 data_cost: 0.5200 ips: 66.7826 images/s
[03/18 23:09:40] ppdet.engine INFO: Epoch: [103] [240/458] learning_rate: 0.235469 loss_vfl: 1.065389 loss_bbox: 0.490179 loss_dfl: 0.438499 loss: 1.974620 eta: 21:12:24 batch_cost: 1.0674 data_cost: 0.5521 ips: 59.9577 images/s
[03/18 23:09:59] ppdet.engine INFO: Epoch: [103] [260/458] learning_rate: 0.235404 loss_vfl: 1.087806 loss_bbox: 0.500143 loss_dfl: 0.441944 loss: 2.034364 eta: 21:12:08 batch_cost: 0.8684 data_cost: 0.3135 ips: 73.7015 images/s
[03/18 23:10:22] ppdet.engine INFO: Epoch: [103] [280/458] learning_rate: 0.235340 loss_vfl: 1.035892 loss_bbox: 0.461479 loss_dfl: 0.426011 loss: 1.927028 eta: 21:12:00 batch_cost: 1.0956 data_cost: 0.2396 ips: 58.4167 images/s
[03/18 23:10:43] ppdet.engine INFO: Epoch: [103] [300/458] learning_rate: 0.235275 loss_vfl: 1.079120 loss_bbox: 0.505372 loss_dfl: 0.446989 loss: 2.032020 eta: 21:11:47 batch_cost: 0.9598 data_cost: 0.3208 ips: 66.6826 images/s
[03/18 23:11:03] ppdet.engine INFO: Epoch: [103] [320/458] learning_rate: 0.235210 loss_vfl: 1.088682 loss_bbox: 0.507451 loss_dfl: 0.455350 loss: 2.032431 eta: 21:11:33 batch_cost: 0.9249 data_cost: 0.0809 ips: 69.1930 images/s
[03/18 23:11:20] ppdet.engine INFO: Epoch: [103] [340/458] learning_rate: 0.235146 loss_vfl: 1.054264 loss_bbox: 0.490919 loss_dfl: 0.446639 loss: 1.996644 eta: 21:11:14 batch_cost: 0.7822 data_cost: 0.0009 ips: 81.8182 images/s
[03/18 23:11:36] ppdet.engine INFO: Epoch: [103] [360/458] learning_rate: 0.235081 loss_vfl: 1.037787 loss_bbox: 0.477887 loss_dfl: 0.443100 loss: 1.950727 eta: 21:10:51 batch_cost: 0.7051 data_cost: 0.0411 ips: 90.7667 images/s
[03/18 23:11:57] ppdet.engine INFO: Epoch: [103] [380/458] learning_rate: 0.235016 loss_vfl: 1.041526 loss_bbox: 0.482611 loss_dfl: 0.435255 loss: 1.982069 eta: 21:10:39 batch_cost: 0.9613 data_cost: 0.5153 ips: 66.5751 images/s
[03/18 23:12:15] ppdet.engine INFO: Epoch: [103] [400/458] learning_rate: 0.234951 loss_vfl: 1.050169 loss_bbox: 0.476557 loss_dfl: 0.432748 loss: 1.951857 eta: 21:10:21 batch_cost: 0.8208 data_cost: 0.2409 ips: 77.9699 images/s
[03/18 23:12:34] ppdet.engine INFO: Epoch: [103] [420/458] learning_rate: 0.234887 loss_vfl: 1.043989 loss_bbox: 0.486668 loss_dfl: 0.432540 loss: 1.992297 eta: 21:10:06 batch_cost: 0.9149 data_cost: 0.2840 ips: 69.9492 images/s
[03/18 23:12:58] ppdet.engine INFO: Epoch: [103] [440/458] learning_rate: 0.234822 loss_vfl: 1.058321 loss_bbox: 0.488995 loss_dfl: 0.441013 loss: 1.959884 eta: 21:09:59 batch_cost: 1.1088 data_cost: 0.6617 ips: 57.7178 images/s
[03/18 23:13:20] ppdet.engine INFO: Epoch: [104] [  0/458] learning_rate: 0.234763 loss_vfl: 1.047104 loss_bbox: 0.474696 loss_dfl: 0.429481 loss: 1.952007 eta: 21:09:51 batch_cost: 1.1373 data_cost: 0.6671 ips: 56.2743 images/s
[03/18 23:13:40] ppdet.engine INFO: Epoch: [104] [ 20/458] learning_rate: 0.234699 loss_vfl: 1.015648 loss_bbox: 0.471489 loss_dfl: 0.423322 loss: 1.919384 eta: 21:09:34 batch_cost: 0.8524 data_cost: 0.0007 ips: 75.0831 images/s
[03/18 23:13:57] ppdet.engine INFO: Epoch: [104] [ 40/458] learning_rate: 0.234634 loss_vfl: 1.010252 loss_bbox: 0.482867 loss_dfl: 0.429382 loss: 1.912987 eta: 21:09:15 batch_cost: 0.7775 data_cost: 0.0019 ips: 82.3148 images/s
[03/18 23:14:19] ppdet.engine INFO: Epoch: [104] [ 60/458] learning_rate: 0.234569 loss_vfl: 1.083560 loss_bbox: 0.508866 loss_dfl: 0.452937 loss: 2.038770 eta: 21:09:03 batch_cost: 0.9863 data_cost: 0.0014 ips: 64.8871 images/s
[03/18 23:14:39] ppdet.engine INFO: Epoch: [104] [ 80/458] learning_rate: 0.234504 loss_vfl: 1.060374 loss_bbox: 0.465726 loss_dfl: 0.435170 loss: 1.985027 eta: 21:08:48 batch_cost: 0.8992 data_cost: 0.0032 ips: 71.1731 images/s
[03/18 23:14:56] ppdet.engine INFO: Epoch: [104] [100/458] learning_rate: 0.234439 loss_vfl: 1.055754 loss_bbox: 0.507810 loss_dfl: 0.445648 loss: 2.011210 eta: 21:08:28 batch_cost: 0.7873 data_cost: 0.0029 ips: 81.2890 images/s
[03/18 23:15:16] ppdet.engine INFO: Epoch: [104] [120/458] learning_rate: 0.234374 loss_vfl: 1.023367 loss_bbox: 0.471751 loss_dfl: 0.430157 loss: 1.959958 eta: 21:08:13 batch_cost: 0.8879 data_cost: 0.0003 ips: 72.0764 images/s
[03/18 23:15:36] ppdet.engine INFO: Epoch: [104] [140/458] learning_rate: 0.234309 loss_vfl: 1.080755 loss_bbox: 0.505192 loss_dfl: 0.448729 loss: 2.024867 eta: 21:07:57 batch_cost: 0.8722 data_cost: 0.0082 ips: 73.3807 images/s
[03/18 23:15:55] ppdet.engine INFO: Epoch: [104] [160/458] learning_rate: 0.234244 loss_vfl: 1.079431 loss_bbox: 0.477547 loss_dfl: 0.436121 loss: 1.998732 eta: 21:07:40 batch_cost: 0.8500 data_cost: 0.0031 ips: 75.2966 images/s
[03/18 23:16:14] ppdet.engine INFO: Epoch: [104] [180/458] learning_rate: 0.234179 loss_vfl: 1.048025 loss_bbox: 0.484829 loss_dfl: 0.442512 loss: 2.016276 eta: 21:07:23 batch_cost: 0.8557 data_cost: 0.0042 ips: 74.7893 images/s
[03/18 23:16:34] ppdet.engine INFO: Epoch: [104] [200/458] learning_rate: 0.234114 loss_vfl: 1.050656 loss_bbox: 0.489988 loss_dfl: 0.435285 loss: 1.956728 eta: 21:07:07 batch_cost: 0.8696 data_cost: 0.0042 ips: 73.6011 images/s
[03/18 23:16:53] ppdet.engine INFO: Epoch: [104] [220/458] learning_rate: 0.234049 loss_vfl: 1.070164 loss_bbox: 0.495685 loss_dfl: 0.455796 loss: 2.021226 eta: 21:06:50 batch_cost: 0.8448 data_cost: 0.0024 ips: 75.7580 images/s
[03/18 23:17:13] ppdet.engine INFO: Epoch: [104] [240/458] learning_rate: 0.233984 loss_vfl: 1.076247 loss_bbox: 0.514740 loss_dfl: 0.466300 loss: 2.052941 eta: 21:06:35 batch_cost: 0.9191 data_cost: 0.0041 ips: 69.6310 images/s
[03/18 23:17:34] ppdet.engine INFO: Epoch: [104] [260/458] learning_rate: 0.233919 loss_vfl: 1.059852 loss_bbox: 0.473471 loss_dfl: 0.435402 loss: 1.977373 eta: 21:06:22 batch_cost: 0.9532 data_cost: 0.0024 ips: 67.1456 images/s
[03/18 23:17:51] ppdet.engine INFO: Epoch: [104] [280/458] learning_rate: 0.233854 loss_vfl: 1.087076 loss_bbox: 0.501241 loss_dfl: 0.448372 loss: 2.051135 eta: 21:06:02 batch_cost: 0.7678 data_cost: 0.0054 ips: 83.3548 images/s
[03/18 23:18:10] ppdet.engine INFO: Epoch: [104] [300/458] learning_rate: 0.233789 loss_vfl: 1.116667 loss_bbox: 0.515703 loss_dfl: 0.466827 loss: 2.102228 eta: 21:05:45 batch_cost: 0.8332 data_cost: 0.0033 ips: 76.8140 images/s
[03/18 23:18:26] ppdet.engine INFO: Epoch: [104] [320/458] learning_rate: 0.233724 loss_vfl: 1.037014 loss_bbox: 0.469531 loss_dfl: 0.421001 loss: 1.921967 eta: 21:05:25 batch_cost: 0.7620 data_cost: 0.0041 ips: 83.9890 images/s
[03/18 23:18:43] ppdet.engine INFO: Epoch: [104] [340/458] learning_rate: 0.233659 loss_vfl: 1.080459 loss_bbox: 0.494695 loss_dfl: 0.452093 loss: 2.027000 eta: 21:05:03 batch_cost: 0.7253 data_cost: 0.0074 ips: 88.2427 images/s
[03/18 23:19:00] ppdet.engine INFO: Epoch: [104] [360/458] learning_rate: 0.233594 loss_vfl: 1.085447 loss_bbox: 0.498188 loss_dfl: 0.457826 loss: 2.057771 eta: 21:04:44 batch_cost: 0.7899 data_cost: 0.0029 ips: 81.0206 images/s
[03/18 23:19:21] ppdet.engine INFO: Epoch: [104] [380/458] learning_rate: 0.233529 loss_vfl: 1.046664 loss_bbox: 0.499852 loss_dfl: 0.432731 loss: 1.946639 eta: 21:04:30 batch_cost: 0.9221 data_cost: 0.0003 ips: 69.4061 images/s
[03/18 23:19:42] ppdet.engine INFO: Epoch: [104] [400/458] learning_rate: 0.233464 loss_vfl: 1.091844 loss_bbox: 0.484264 loss_dfl: 0.446880 loss: 2.016101 eta: 21:04:17 batch_cost: 0.9537 data_cost: 0.0038 ips: 67.1045 images/s
[03/18 23:20:01] ppdet.engine INFO: Epoch: [104] [420/458] learning_rate: 0.233399 loss_vfl: 1.072375 loss_bbox: 0.485638 loss_dfl: 0.443308 loss: 2.011385 eta: 21:03:57 batch_cost: 0.7714 data_cost: 0.0039 ips: 82.9626 images/s
[03/18 23:20:20] ppdet.engine INFO: Epoch: [104] [440/458] learning_rate: 0.233333 loss_vfl: 1.081706 loss_bbox: 0.469778 loss_dfl: 0.431187 loss: 1.991076 eta: 21:03:39 batch_cost: 0.8427 data_cost: 0.0065 ips: 75.9467 images/s
[03/18 23:20:40] ppdet.engine INFO: Epoch: [105] [  0/458] learning_rate: 0.233275 loss_vfl: 1.014187 loss_bbox: 0.471686 loss_dfl: 0.422633 loss: 1.932367 eta: 21:03:27 batch_cost: 0.9686 data_cost: 0.3112 ips: 66.0721 images/s
[03/18 23:20:59] ppdet.engine INFO: Epoch: [105] [ 20/458] learning_rate: 0.233210 loss_vfl: 1.057070 loss_bbox: 0.474404 loss_dfl: 0.435096 loss: 1.950628 eta: 21:03:10 batch_cost: 0.8303 data_cost: 0.0014 ips: 77.0792 images/s
[03/18 23:21:20] ppdet.engine INFO: Epoch: [105] [ 40/458] learning_rate: 0.233144 loss_vfl: 1.005624 loss_bbox: 0.469430 loss_dfl: 0.418676 loss: 1.896273 eta: 21:02:55 batch_cost: 0.9232 data_cost: 0.0015 ips: 69.3222 images/s
[03/18 23:21:40] ppdet.engine INFO: Epoch: [105] [ 60/458] learning_rate: 0.233079 loss_vfl: 1.093064 loss_bbox: 0.497142 loss_dfl: 0.448361 loss: 2.059280 eta: 21:02:42 batch_cost: 0.9441 data_cost: 0.0069 ips: 67.7883 images/s
[03/18 23:21:59] ppdet.engine INFO: Epoch: [105] [ 80/458] learning_rate: 0.233014 loss_vfl: 1.052042 loss_bbox: 0.499900 loss_dfl: 0.444462 loss: 1.997066 eta: 21:02:24 batch_cost: 0.8316 data_cost: 0.0059 ips: 76.9610 images/s
[03/18 23:22:18] ppdet.engine INFO: Epoch: [105] [100/458] learning_rate: 0.232949 loss_vfl: 1.073125 loss_bbox: 0.494247 loss_dfl: 0.448385 loss: 2.032555 eta: 21:02:07 batch_cost: 0.8347 data_cost: 0.0036 ips: 76.6773 images/s
[03/18 23:22:40] ppdet.engine INFO: Epoch: [105] [120/458] learning_rate: 0.232883 loss_vfl: 1.070710 loss_bbox: 0.508126 loss_dfl: 0.442273 loss: 2.020523 eta: 21:01:56 batch_cost: 1.0192 data_cost: 0.0034 ips: 62.7967 images/s
[03/18 23:22:57] ppdet.engine INFO: Epoch: [105] [140/458] learning_rate: 0.232818 loss_vfl: 1.088338 loss_bbox: 0.499082 loss_dfl: 0.449703 loss: 2.021821 eta: 21:01:35 batch_cost: 0.7379 data_cost: 0.0031 ips: 86.7352 images/s
[03/18 23:23:20] ppdet.engine INFO: Epoch: [105] [160/458] learning_rate: 0.232753 loss_vfl: 1.066905 loss_bbox: 0.482385 loss_dfl: 0.436098 loss: 1.994722 eta: 21:01:25 batch_cost: 1.0296 data_cost: 0.0056 ips: 62.1587 images/s
[03/18 23:23:36] ppdet.engine INFO: Epoch: [105] [180/458] learning_rate: 0.232687 loss_vfl: 1.078263 loss_bbox: 0.481967 loss_dfl: 0.441226 loss: 2.025334 eta: 21:01:03 batch_cost: 0.7071 data_cost: 0.0076 ips: 90.5152 images/s
[03/18 23:23:57] ppdet.engine INFO: Epoch: [105] [200/458] learning_rate: 0.232622 loss_vfl: 1.055720 loss_bbox: 0.451239 loss_dfl: 0.416506 loss: 1.944802 eta: 21:00:51 batch_cost: 0.9928 data_cost: 0.0045 ips: 64.4629 images/s
[03/18 23:24:16] ppdet.engine INFO: Epoch: [105] [220/458] learning_rate: 0.232557 loss_vfl: 1.051649 loss_bbox: 0.481780 loss_dfl: 0.433626 loss: 1.970895 eta: 21:00:32 batch_cost: 0.8097 data_cost: 0.0033 ips: 79.0439 images/s
[03/18 23:24:36] ppdet.engine INFO: Epoch: [105] [240/458] learning_rate: 0.232491 loss_vfl: 1.050678 loss_bbox: 0.471330 loss_dfl: 0.427193 loss: 1.933947 eta: 21:00:18 batch_cost: 0.9186 data_cost: 0.0038 ips: 69.6682 images/s
[03/18 23:24:55] ppdet.engine INFO: Epoch: [105] [260/458] learning_rate: 0.232426 loss_vfl: 1.066292 loss_bbox: 0.483271 loss_dfl: 0.435625 loss: 1.985791 eta: 21:00:02 batch_cost: 0.8658 data_cost: 0.0021 ips: 73.9161 images/s
[03/18 23:25:17] ppdet.engine INFO: Epoch: [105] [280/458] learning_rate: 0.232361 loss_vfl: 1.104050 loss_bbox: 0.506234 loss_dfl: 0.453653 loss: 2.038388 eta: 20:59:49 batch_cost: 0.9749 data_cost: 0.0052 ips: 65.6505 images/s
[03/18 23:25:34] ppdet.engine INFO: Epoch: [105] [300/458] learning_rate: 0.232295 loss_vfl: 1.024337 loss_bbox: 0.465664 loss_dfl: 0.426063 loss: 1.909607 eta: 20:59:29 batch_cost: 0.7629 data_cost: 0.0028 ips: 83.8888 images/s
[03/18 23:25:50] ppdet.engine INFO: Epoch: [105] [320/458] learning_rate: 0.232230 loss_vfl: 1.041968 loss_bbox: 0.462029 loss_dfl: 0.427571 loss: 1.951420 eta: 20:59:07 batch_cost: 0.7073 data_cost: 0.0022 ips: 90.4808 images/s
[03/18 23:26:06] ppdet.engine INFO: Epoch: [105] [340/458] learning_rate: 0.232164 loss_vfl: 1.000919 loss_bbox: 0.464842 loss_dfl: 0.417017 loss: 1.876453 eta: 20:58:47 batch_cost: 0.7633 data_cost: 0.0014 ips: 83.8490 images/s
[03/18 23:26:25] ppdet.engine INFO: Epoch: [105] [360/458] learning_rate: 0.232099 loss_vfl: 1.056141 loss_bbox: 0.481324 loss_dfl: 0.446851 loss: 2.012136 eta: 20:58:29 batch_cost: 0.8122 data_cost: 0.0034 ips: 78.7943 images/s
[03/18 23:26:45] ppdet.engine INFO: Epoch: [105] [380/458] learning_rate: 0.232033 loss_vfl: 1.048826 loss_bbox: 0.473000 loss_dfl: 0.434736 loss: 1.969705 eta: 20:58:11 batch_cost: 0.8380 data_cost: 0.0011 ips: 76.3719 images/s
[03/18 23:27:04] ppdet.engine INFO: Epoch: [105] [400/458] learning_rate: 0.231968 loss_vfl: 1.117539 loss_bbox: 0.514059 loss_dfl: 0.460472 loss: 2.096200 eta: 20:57:55 batch_cost: 0.8741 data_cost: 0.0032 ips: 73.2178 images/s
[03/18 23:27:24] ppdet.engine INFO: Epoch: [105] [420/458] learning_rate: 0.231903 loss_vfl: 1.084670 loss_bbox: 0.499025 loss_dfl: 0.438137 loss: 2.019671 eta: 20:57:37 batch_cost: 0.8151 data_cost: 0.0045 ips: 78.5195 images/s
[03/18 23:27:42] ppdet.engine INFO: Epoch: [105] [440/458] learning_rate: 0.231837 loss_vfl: 1.053181 loss_bbox: 0.474504 loss_dfl: 0.430460 loss: 1.988734 eta: 20:57:18 batch_cost: 0.7997 data_cost: 0.0048 ips: 80.0335 images/s
[03/18 23:28:03] ppdet.engine INFO: Epoch: [106] [  0/458] learning_rate: 0.231778 loss_vfl: 1.070869 loss_bbox: 0.479582 loss_dfl: 0.440051 loss: 1.991725 eta: 20:57:09 batch_cost: 1.0668 data_cost: 0.1962 ips: 59.9939 images/s
[03/18 23:28:25] ppdet.engine INFO: Epoch: [106] [ 20/458] learning_rate: 0.231712 loss_vfl: 1.092602 loss_bbox: 0.483048 loss_dfl: 0.450930 loss: 2.033165 eta: 20:56:55 batch_cost: 0.9356 data_cost: 0.2593 ips: 68.4039 images/s
[03/18 23:28:44] ppdet.engine INFO: Epoch: [106] [ 40/458] learning_rate: 0.231647 loss_vfl: 1.073585 loss_bbox: 0.481712 loss_dfl: 0.444552 loss: 2.012558 eta: 20:56:39 batch_cost: 0.8637 data_cost: 0.4440 ips: 74.0958 images/s
[03/18 23:29:04] ppdet.engine INFO: Epoch: [106] [ 60/458] learning_rate: 0.231581 loss_vfl: 1.072358 loss_bbox: 0.492684 loss_dfl: 0.443637 loss: 2.013504 eta: 20:56:24 batch_cost: 0.9238 data_cost: 0.1760 ips: 69.2786 images/s
[03/18 23:29:29] ppdet.engine INFO: Epoch: [106] [ 80/458] learning_rate: 0.231516 loss_vfl: 1.112205 loss_bbox: 0.518928 loss_dfl: 0.464483 loss: 2.106435 eta: 20:56:18 batch_cost: 1.1308 data_cost: 0.1328 ips: 56.5990 images/s
[03/18 23:29:50] ppdet.engine INFO: Epoch: [106] [100/458] learning_rate: 0.231450 loss_vfl: 1.078008 loss_bbox: 0.482263 loss_dfl: 0.448124 loss: 2.036893 eta: 20:56:06 batch_cost: 0.9822 data_cost: 0.0329 ips: 65.1618 images/s
[03/18 23:30:07] ppdet.engine INFO: Epoch: [106] [120/458] learning_rate: 0.231385 loss_vfl: 1.016379 loss_bbox: 0.476194 loss_dfl: 0.417409 loss: 1.890124 eta: 20:55:46 batch_cost: 0.7684 data_cost: 0.0025 ips: 83.2941 images/s
[03/18 23:30:31] ppdet.engine INFO: Epoch: [106] [140/458] learning_rate: 0.231319 loss_vfl: 1.034563 loss_bbox: 0.495581 loss_dfl: 0.425196 loss: 1.969995 eta: 20:55:36 batch_cost: 1.0539 data_cost: 0.0003 ips: 60.7268 images/s
[03/18 23:30:50] ppdet.engine INFO: Epoch: [106] [160/458] learning_rate: 0.231253 loss_vfl: 1.122604 loss_bbox: 0.486750 loss_dfl: 0.450081 loss: 2.071870 eta: 20:55:20 batch_cost: 0.8710 data_cost: 0.0025 ips: 73.4748 images/s
[03/18 23:31:12] ppdet.engine INFO: Epoch: [106] [180/458] learning_rate: 0.231188 loss_vfl: 1.061473 loss_bbox: 0.476685 loss_dfl: 0.435628 loss: 1.967572 eta: 20:55:08 batch_cost: 0.9768 data_cost: 0.0036 ips: 65.5170 images/s
[03/18 23:31:33] ppdet.engine INFO: Epoch: [106] [200/458] learning_rate: 0.231122 loss_vfl: 1.082203 loss_bbox: 0.510708 loss_dfl: 0.456678 loss: 2.071537 eta: 20:54:55 batch_cost: 0.9759 data_cost: 0.0016 ips: 65.5796 images/s
[03/18 23:31:52] ppdet.engine INFO: Epoch: [106] [220/458] learning_rate: 0.231056 loss_vfl: 1.060548 loss_bbox: 0.496086 loss_dfl: 0.450241 loss: 1.988355 eta: 20:54:39 batch_cost: 0.8715 data_cost: 0.0045 ips: 73.4351 images/s
[03/18 23:32:11] ppdet.engine INFO: Epoch: [106] [240/458] learning_rate: 0.230991 loss_vfl: 1.053276 loss_bbox: 0.478929 loss_dfl: 0.434723 loss: 1.962608 eta: 20:54:23 batch_cost: 0.8622 data_cost: 0.0012 ips: 74.2322 images/s
[03/18 23:32:29] ppdet.engine INFO: Epoch: [106] [260/458] learning_rate: 0.230925 loss_vfl: 1.029627 loss_bbox: 0.479956 loss_dfl: 0.426917 loss: 1.940690 eta: 20:54:04 batch_cost: 0.8094 data_cost: 0.0069 ips: 79.0695 images/s
[03/18 23:32:49] ppdet.engine INFO: Epoch: [106] [280/458] learning_rate: 0.230859 loss_vfl: 1.060856 loss_bbox: 0.494392 loss_dfl: 0.440770 loss: 1.974816 eta: 20:53:50 batch_cost: 0.9219 data_cost: 0.0183 ips: 69.4197 images/s
[03/18 23:33:03] ppdet.engine INFO: Epoch: [106] [300/458] learning_rate: 0.230793 loss_vfl: 1.059676 loss_bbox: 0.502666 loss_dfl: 0.447091 loss: 2.028419 eta: 20:53:25 batch_cost: 0.6232 data_cost: 0.0013 ips: 102.7005 images/s
[03/18 23:33:19] ppdet.engine INFO: Epoch: [106] [320/458] learning_rate: 0.230728 loss_vfl: 1.044080 loss_bbox: 0.478004 loss_dfl: 0.428055 loss: 1.952798 eta: 20:53:03 batch_cost: 0.7159 data_cost: 0.0360 ips: 89.4000 images/s
[03/18 23:33:42] ppdet.engine INFO: Epoch: [106] [340/458] learning_rate: 0.230662 loss_vfl: 1.079176 loss_bbox: 0.485287 loss_dfl: 0.441197 loss: 2.007619 eta: 20:52:54 batch_cost: 1.0676 data_cost: 0.4730 ips: 59.9459 images/s
[03/18 23:34:02] ppdet.engine INFO: Epoch: [106] [360/458] learning_rate: 0.230596 loss_vfl: 1.046869 loss_bbox: 0.465965 loss_dfl: 0.431601 loss: 1.960729 eta: 20:52:38 batch_cost: 0.8797 data_cost: 0.3771 ips: 72.7557 images/s
[03/18 23:34:21] ppdet.engine INFO: Epoch: [106] [380/458] learning_rate: 0.230530 loss_vfl: 1.043914 loss_bbox: 0.467407 loss_dfl: 0.431888 loss: 1.935292 eta: 20:52:21 batch_cost: 0.8659 data_cost: 0.3629 ips: 73.9106 images/s
[03/18 23:34:43] ppdet.engine INFO: Epoch: [106] [400/458] learning_rate: 0.230464 loss_vfl: 1.048652 loss_bbox: 0.487542 loss_dfl: 0.453493 loss: 1.990900 eta: 20:52:09 batch_cost: 0.9704 data_cost: 0.4773 ips: 65.9511 images/s
[03/18 23:35:05] ppdet.engine INFO: Epoch: [106] [420/458] learning_rate: 0.230398 loss_vfl: 1.089229 loss_bbox: 0.477478 loss_dfl: 0.437186 loss: 2.006628 eta: 20:51:59 batch_cost: 1.0425 data_cost: 0.1982 ips: 61.3883 images/s
[03/18 23:35:25] ppdet.engine INFO: Epoch: [106] [440/458] learning_rate: 0.230333 loss_vfl: 1.083888 loss_bbox: 0.484741 loss_dfl: 0.451607 loss: 2.072237 eta: 20:51:43 batch_cost: 0.8703 data_cost: 0.0013 ips: 73.5405 images/s
[03/18 23:35:47] ppdet.engine INFO: Epoch: [107] [  0/458] learning_rate: 0.230273 loss_vfl: 1.073064 loss_bbox: 0.483453 loss_dfl: 0.432076 loss: 1.992329 eta: 20:51:34 batch_cost: 1.0121 data_cost: 0.2322 ips: 63.2325 images/s
[03/18 23:36:08] ppdet.engine INFO: Epoch: [107] [ 20/458] learning_rate: 0.230207 loss_vfl: 1.122820 loss_bbox: 0.516822 loss_dfl: 0.467605 loss: 2.110793 eta: 20:51:20 batch_cost: 0.9382 data_cost: 0.3513 ips: 68.2130 images/s
[03/18 23:36:30] ppdet.engine INFO: Epoch: [107] [ 40/458] learning_rate: 0.230142 loss_vfl: 1.059573 loss_bbox: 0.471975 loss_dfl: 0.432091 loss: 1.972492 eta: 20:51:10 batch_cost: 1.0426 data_cost: 0.0027 ips: 61.3828 images/s
[03/18 23:36:52] ppdet.engine INFO: Epoch: [107] [ 60/458] learning_rate: 0.230076 loss_vfl: 1.102605 loss_bbox: 0.516764 loss_dfl: 0.462940 loss: 2.096319 eta: 20:50:58 batch_cost: 1.0001 data_cost: 0.0005 ips: 63.9908 images/s
[03/18 23:37:13] ppdet.engine INFO: Epoch: [107] [ 80/458] learning_rate: 0.230010 loss_vfl: 1.065322 loss_bbox: 0.490342 loss_dfl: 0.447954 loss: 1.990885 eta: 20:50:47 batch_cost: 0.9951 data_cost: 0.0015 ips: 64.3172 images/s
[03/18 23:37:33] ppdet.engine INFO: Epoch: [107] [100/458] learning_rate: 0.229944 loss_vfl: 1.082785 loss_bbox: 0.512208 loss_dfl: 0.460302 loss: 2.064405 eta: 20:50:32 batch_cost: 0.9170 data_cost: 0.0037 ips: 69.7942 images/s
[03/18 23:37:53] ppdet.engine INFO: Epoch: [107] [120/458] learning_rate: 0.229878 loss_vfl: 1.112643 loss_bbox: 0.497275 loss_dfl: 0.450232 loss: 2.044938 eta: 20:50:17 batch_cost: 0.9083 data_cost: 0.0032 ips: 70.4592 images/s
[03/18 23:38:13] ppdet.engine INFO: Epoch: [107] [140/458] learning_rate: 0.229812 loss_vfl: 1.089747 loss_bbox: 0.482914 loss_dfl: 0.448596 loss: 2.019805 eta: 20:50:02 batch_cost: 0.8992 data_cost: 0.1149 ips: 71.1729 images/s
[03/18 23:38:35] ppdet.engine INFO: Epoch: [107] [160/458] learning_rate: 0.229746 loss_vfl: 1.096337 loss_bbox: 0.525044 loss_dfl: 0.461407 loss: 2.063404 eta: 20:49:50 batch_cost: 0.9833 data_cost: 0.0783 ips: 65.0862 images/s
[03/18 23:38:57] ppdet.engine INFO: Epoch: [107] [180/458] learning_rate: 0.229680 loss_vfl: 1.086480 loss_bbox: 0.507814 loss_dfl: 0.450136 loss: 2.051837 eta: 20:49:39 batch_cost: 1.0315 data_cost: 0.3506 ips: 62.0465 images/s
[03/18 23:39:16] ppdet.engine INFO: Epoch: [107] [200/458] learning_rate: 0.229614 loss_vfl: 1.063524 loss_bbox: 0.482324 loss_dfl: 0.445727 loss: 1.976760 eta: 20:49:23 batch_cost: 0.8616 data_cost: 0.4114 ips: 74.2792 images/s
[03/18 23:39:38] ppdet.engine INFO: Epoch: [107] [220/458] learning_rate: 0.229548 loss_vfl: 1.052888 loss_bbox: 0.483949 loss_dfl: 0.443333 loss: 1.969123 eta: 20:49:12 batch_cost: 1.0251 data_cost: 0.4687 ips: 62.4319 images/s
[03/18 23:39:54] ppdet.engine INFO: Epoch: [107] [240/458] learning_rate: 0.229482 loss_vfl: 1.065626 loss_bbox: 0.490740 loss_dfl: 0.452291 loss: 2.038674 eta: 20:48:51 batch_cost: 0.7314 data_cost: 0.3221 ips: 87.4989 images/s
[03/18 23:40:13] ppdet.engine INFO: Epoch: [107] [260/458] learning_rate: 0.229416 loss_vfl: 1.065242 loss_bbox: 0.470942 loss_dfl: 0.438089 loss: 1.981132 eta: 20:48:35 batch_cost: 0.8894 data_cost: 0.3412 ips: 71.9603 images/s
[03/18 23:40:32] ppdet.engine INFO: Epoch: [107] [280/458] learning_rate: 0.229350 loss_vfl: 1.105356 loss_bbox: 0.497000 loss_dfl: 0.456628 loss: 2.073312 eta: 20:48:19 batch_cost: 0.8850 data_cost: 0.4487 ips: 72.3152 images/s
[03/18 23:40:55] ppdet.engine INFO: Epoch: [107] [300/458] learning_rate: 0.229284 loss_vfl: 1.056439 loss_bbox: 0.479796 loss_dfl: 0.426081 loss: 1.935158 eta: 20:48:08 batch_cost: 1.0157 data_cost: 0.5648 ips: 63.0097 images/s
[03/18 23:41:14] ppdet.engine INFO: Epoch: [107] [320/458] learning_rate: 0.229217 loss_vfl: 1.052041 loss_bbox: 0.488891 loss_dfl: 0.444384 loss: 2.007840 eta: 20:47:52 batch_cost: 0.8788 data_cost: 0.5078 ips: 72.8250 images/s
[03/18 23:41:36] ppdet.engine INFO: Epoch: [107] [340/458] learning_rate: 0.229151 loss_vfl: 1.043181 loss_bbox: 0.470749 loss_dfl: 0.435619 loss: 1.961625 eta: 20:47:42 batch_cost: 1.0345 data_cost: 0.4950 ips: 61.8661 images/s
[03/18 23:41:58] ppdet.engine INFO: Epoch: [107] [360/458] learning_rate: 0.229085 loss_vfl: 1.075835 loss_bbox: 0.498659 loss_dfl: 0.443144 loss: 2.033483 eta: 20:47:31 batch_cost: 1.0144 data_cost: 0.3501 ips: 63.0899 images/s
[03/18 23:42:18] ppdet.engine INFO: Epoch: [107] [380/458] learning_rate: 0.229019 loss_vfl: 1.034245 loss_bbox: 0.443921 loss_dfl: 0.416310 loss: 1.896366 eta: 20:47:15 batch_cost: 0.8978 data_cost: 0.2404 ips: 71.2840 images/s
[03/18 23:42:38] ppdet.engine INFO: Epoch: [107] [400/458] learning_rate: 0.228953 loss_vfl: 1.059734 loss_bbox: 0.500238 loss_dfl: 0.443765 loss: 2.005114 eta: 20:47:01 batch_cost: 0.9230 data_cost: 0.1379 ips: 69.3369 images/s
[03/18 23:43:01] ppdet.engine INFO: Epoch: [107] [420/458] learning_rate: 0.228887 loss_vfl: 1.144090 loss_bbox: 0.505668 loss_dfl: 0.451177 loss: 2.079695 eta: 20:46:51 batch_cost: 1.0480 data_cost: 0.4349 ips: 61.0702 images/s
[03/18 23:43:21] ppdet.engine INFO: Epoch: [107] [440/458] learning_rate: 0.228821 loss_vfl: 1.105754 loss_bbox: 0.506681 loss_dfl: 0.451693 loss: 2.076314 eta: 20:46:37 batch_cost: 0.9231 data_cost: 0.4218 ips: 69.3288 images/s
[03/18 23:43:44] ppdet.engine INFO: Epoch: [108] [  0/458] learning_rate: 0.228761 loss_vfl: 1.098412 loss_bbox: 0.495186 loss_dfl: 0.448907 loss: 2.027585 eta: 20:46:31 batch_cost: 1.1425 data_cost: 0.5746 ips: 56.0194 images/s
[03/18 23:44:04] ppdet.engine INFO: Epoch: [108] [ 20/458] learning_rate: 0.228695 loss_vfl: 1.061478 loss_bbox: 0.468614 loss_dfl: 0.430205 loss: 1.945201 eta: 20:46:15 batch_cost: 0.8799 data_cost: 0.0056 ips: 72.7368 images/s
[03/18 23:44:22] ppdet.engine INFO: Epoch: [108] [ 40/458] learning_rate: 0.228629 loss_vfl: 1.066520 loss_bbox: 0.468110 loss_dfl: 0.442645 loss: 2.016496 eta: 20:45:55 batch_cost: 0.7851 data_cost: 0.0287 ips: 81.5223 images/s
[03/18 23:44:41] ppdet.engine INFO: Epoch: [108] [ 60/458] learning_rate: 0.228562 loss_vfl: 1.104593 loss_bbox: 0.491528 loss_dfl: 0.452447 loss: 2.072198 eta: 20:45:35 batch_cost: 0.7662 data_cost: 0.0023 ips: 83.5258 images/s
[03/18 23:45:01] ppdet.engine INFO: Epoch: [108] [ 80/458] learning_rate: 0.228496 loss_vfl: 1.021428 loss_bbox: 0.453915 loss_dfl: 0.416932 loss: 1.888115 eta: 20:45:22 batch_cost: 0.9424 data_cost: 0.1197 ips: 67.9131 images/s
[03/18 23:45:19] ppdet.engine INFO: Epoch: [108] [100/458] learning_rate: 0.228430 loss_vfl: 1.043391 loss_bbox: 0.473590 loss_dfl: 0.429037 loss: 1.953216 eta: 20:45:01 batch_cost: 0.7428 data_cost: 0.0019 ips: 86.1626 images/s
[03/18 23:45:38] ppdet.engine INFO: Epoch: [108] [120/458] learning_rate: 0.228363 loss_vfl: 1.077311 loss_bbox: 0.465811 loss_dfl: 0.419898 loss: 1.965505 eta: 20:44:44 batch_cost: 0.8626 data_cost: 0.1568 ips: 74.1956 images/s
[03/18 23:45:57] ppdet.engine INFO: Epoch: [108] [140/458] learning_rate: 0.228297 loss_vfl: 1.106242 loss_bbox: 0.496604 loss_dfl: 0.458267 loss: 2.044343 eta: 20:44:27 batch_cost: 0.8502 data_cost: 0.0021 ips: 75.2786 images/s
[03/18 23:46:17] ppdet.engine INFO: Epoch: [108] [160/458] learning_rate: 0.228231 loss_vfl: 1.066718 loss_bbox: 0.489933 loss_dfl: 0.431662 loss: 1.970609 eta: 20:44:11 batch_cost: 0.8689 data_cost: 0.0029 ips: 73.6563 images/s
[03/18 23:46:34] ppdet.engine INFO: Epoch: [108] [180/458] learning_rate: 0.228164 loss_vfl: 1.058084 loss_bbox: 0.488010 loss_dfl: 0.434552 loss: 1.989620 eta: 20:43:50 batch_cost: 0.7466 data_cost: 0.0068 ips: 85.7267 images/s
[03/18 23:46:52] ppdet.engine INFO: Epoch: [108] [200/458] learning_rate: 0.228098 loss_vfl: 1.047448 loss_bbox: 0.477846 loss_dfl: 0.429036 loss: 1.934401 eta: 20:43:32 batch_cost: 0.8067 data_cost: 0.0015 ips: 79.3329 images/s
[03/18 23:47:09] ppdet.engine INFO: Epoch: [108] [220/458] learning_rate: 0.228032 loss_vfl: 1.086562 loss_bbox: 0.480726 loss_dfl: 0.443390 loss: 2.030371 eta: 20:43:11 batch_cost: 0.7471 data_cost: 0.0029 ips: 85.6649 images/s
[03/18 23:47:25] ppdet.engine INFO: Epoch: [108] [240/458] learning_rate: 0.227965 loss_vfl: 1.081606 loss_bbox: 0.484923 loss_dfl: 0.440006 loss: 2.027571 eta: 20:42:50 batch_cost: 0.7347 data_cost: 0.0014 ips: 87.1121 images/s
[03/18 23:47:46] ppdet.engine INFO: Epoch: [108] [260/458] learning_rate: 0.227899 loss_vfl: 1.075798 loss_bbox: 0.472216 loss_dfl: 0.438883 loss: 1.972693 eta: 20:42:36 batch_cost: 0.9495 data_cost: 0.0028 ips: 67.4005 images/s
[03/18 23:48:05] ppdet.engine INFO: Epoch: [108] [280/458] learning_rate: 0.227833 loss_vfl: 1.047887 loss_bbox: 0.478623 loss_dfl: 0.427347 loss: 1.936934 eta: 20:42:20 batch_cost: 0.8744 data_cost: 0.0034 ips: 73.1903 images/s
[03/18 23:48:25] ppdet.engine INFO: Epoch: [108] [300/458] learning_rate: 0.227766 loss_vfl: 1.070917 loss_bbox: 0.483765 loss_dfl: 0.455235 loss: 2.032591 eta: 20:42:04 batch_cost: 0.8902 data_cost: 0.0035 ips: 71.8919 images/s
[03/18 23:48:45] ppdet.engine INFO: Epoch: [108] [320/458] learning_rate: 0.227700 loss_vfl: 1.068005 loss_bbox: 0.490027 loss_dfl: 0.442565 loss: 1.997803 eta: 20:41:49 batch_cost: 0.9035 data_cost: 0.0053 ips: 70.8351 images/s
[03/18 23:49:03] ppdet.engine INFO: Epoch: [108] [340/458] learning_rate: 0.227633 loss_vfl: 1.084126 loss_bbox: 0.507932 loss_dfl: 0.470592 loss: 2.088840 eta: 20:41:31 batch_cost: 0.8085 data_cost: 0.0005 ips: 79.1566 images/s
[03/18 23:49:24] ppdet.engine INFO: Epoch: [108] [360/458] learning_rate: 0.227567 loss_vfl: 1.052951 loss_bbox: 0.486840 loss_dfl: 0.450690 loss: 1.981151 eta: 20:41:17 batch_cost: 0.9406 data_cost: 0.0083 ips: 68.0394 images/s
[03/18 23:49:44] ppdet.engine INFO: Epoch: [108] [380/458] learning_rate: 0.227500 loss_vfl: 1.088827 loss_bbox: 0.514745 loss_dfl: 0.455301 loss: 2.065029 eta: 20:41:02 batch_cost: 0.8941 data_cost: 0.0013 ips: 71.5795 images/s
[03/18 23:50:04] ppdet.engine INFO: Epoch: [108] [400/458] learning_rate: 0.227434 loss_vfl: 1.108052 loss_bbox: 0.503082 loss_dfl: 0.454038 loss: 2.038066 eta: 20:40:46 batch_cost: 0.8901 data_cost: 0.0030 ips: 71.9053 images/s
[03/18 23:50:23] ppdet.engine INFO: Epoch: [108] [420/458] learning_rate: 0.227367 loss_vfl: 1.056774 loss_bbox: 0.480351 loss_dfl: 0.430958 loss: 1.970484 eta: 20:40:27 batch_cost: 0.8055 data_cost: 0.0063 ips: 79.4513 images/s
[03/18 23:50:41] ppdet.engine INFO: Epoch: [108] [440/458] learning_rate: 0.227301 loss_vfl: 1.098958 loss_bbox: 0.490166 loss_dfl: 0.462566 loss: 2.101117 eta: 20:40:08 batch_cost: 0.7796 data_cost: 0.0075 ips: 82.0891 images/s
[03/18 23:51:04] ppdet.engine INFO: Epoch: [109] [  0/458] learning_rate: 0.227241 loss_vfl: 1.054283 loss_bbox: 0.484008 loss_dfl: 0.436893 loss: 1.994303 eta: 20:40:01 batch_cost: 1.0413 data_cost: 0.2468 ips: 61.4603 images/s
[03/18 23:51:22] ppdet.engine INFO: Epoch: [109] [ 20/458] learning_rate: 0.227174 loss_vfl: 1.089111 loss_bbox: 0.497401 loss_dfl: 0.456714 loss: 2.024647 eta: 20:39:40 batch_cost: 0.7504 data_cost: 0.0004 ips: 85.2826 images/s
[03/18 23:51:42] ppdet.engine INFO: Epoch: [109] [ 40/458] learning_rate: 0.227108 loss_vfl: 1.092389 loss_bbox: 0.499452 loss_dfl: 0.461070 loss: 2.035273 eta: 20:39:25 batch_cost: 0.8972 data_cost: 0.0091 ips: 71.3317 images/s
[03/18 23:52:03] ppdet.engine INFO: Epoch: [109] [ 60/458] learning_rate: 0.227041 loss_vfl: 1.092975 loss_bbox: 0.485906 loss_dfl: 0.442298 loss: 2.035130 eta: 20:39:11 batch_cost: 0.9439 data_cost: 0.0105 ips: 67.8037 images/s
[03/18 23:52:20] ppdet.engine INFO: Epoch: [109] [ 80/458] learning_rate: 0.226975 loss_vfl: 1.048310 loss_bbox: 0.486905 loss_dfl: 0.444109 loss: 1.956282 eta: 20:38:50 batch_cost: 0.7518 data_cost: 0.0023 ips: 85.1247 images/s
[03/18 23:52:39] ppdet.engine INFO: Epoch: [109] [100/458] learning_rate: 0.226908 loss_vfl: 1.063094 loss_bbox: 0.487497 loss_dfl: 0.434298 loss: 1.976137 eta: 20:38:33 batch_cost: 0.8426 data_cost: 0.0026 ips: 75.9552 images/s
[03/18 23:52:59] ppdet.engine INFO: Epoch: [109] [120/458] learning_rate: 0.226842 loss_vfl: 1.041183 loss_bbox: 0.474439 loss_dfl: 0.431303 loss: 1.928128 eta: 20:38:16 batch_cost: 0.8563 data_cost: 0.0179 ips: 74.7365 images/s
[03/18 23:53:19] ppdet.engine INFO: Epoch: [109] [140/458] learning_rate: 0.226775 loss_vfl: 1.092166 loss_bbox: 0.470495 loss_dfl: 0.432812 loss: 2.000946 eta: 20:38:00 batch_cost: 0.8724 data_cost: 0.0010 ips: 73.3572 images/s
[03/18 23:53:39] ppdet.engine INFO: Epoch: [109] [160/458] learning_rate: 0.226708 loss_vfl: 1.064846 loss_bbox: 0.495224 loss_dfl: 0.442557 loss: 2.011161 eta: 20:37:44 batch_cost: 0.8630 data_cost: 0.0038 ips: 74.1609 images/s
[03/18 23:53:56] ppdet.engine INFO: Epoch: [109] [180/458] learning_rate: 0.226642 loss_vfl: 1.048971 loss_bbox: 0.476100 loss_dfl: 0.438114 loss: 1.988767 eta: 20:37:24 batch_cost: 0.7681 data_cost: 0.0045 ips: 83.3276 images/s
[03/18 23:54:14] ppdet.engine INFO: Epoch: [109] [200/458] learning_rate: 0.226575 loss_vfl: 1.083894 loss_bbox: 0.475831 loss_dfl: 0.440564 loss: 2.004259 eta: 20:37:04 batch_cost: 0.7792 data_cost: 0.0016 ips: 82.1361 images/s
[03/18 23:54:30] ppdet.engine INFO: Epoch: [109] [220/458] learning_rate: 0.226508 loss_vfl: 1.095417 loss_bbox: 0.494184 loss_dfl: 0.456584 loss: 2.057891 eta: 20:36:44 batch_cost: 0.7491 data_cost: 0.0016 ips: 85.4307 images/s
[03/18 23:54:46] ppdet.engine INFO: Epoch: [109] [240/458] learning_rate: 0.226442 loss_vfl: 1.041770 loss_bbox: 0.484976 loss_dfl: 0.436590 loss: 1.952821 eta: 20:36:21 batch_cost: 0.6853 data_cost: 0.0025 ips: 93.3835 images/s
[03/18 23:55:06] ppdet.engine INFO: Epoch: [109] [260/458] learning_rate: 0.226375 loss_vfl: 1.071747 loss_bbox: 0.485591 loss_dfl: 0.435659 loss: 1.991992 eta: 20:36:06 batch_cost: 0.9168 data_cost: 0.0023 ips: 69.8077 images/s
[03/18 23:55:24] ppdet.engine INFO: Epoch: [109] [280/458] learning_rate: 0.226308 loss_vfl: 1.059089 loss_bbox: 0.487683 loss_dfl: 0.437604 loss: 1.996949 eta: 20:35:46 batch_cost: 0.7592 data_cost: 0.0065 ips: 84.2991 images/s
[03/18 23:55:43] ppdet.engine INFO: Epoch: [109] [300/458] learning_rate: 0.226241 loss_vfl: 1.061891 loss_bbox: 0.469768 loss_dfl: 0.433712 loss: 1.934030 eta: 20:35:29 batch_cost: 0.8483 data_cost: 0.0031 ips: 75.4469 images/s
[03/18 23:56:04] ppdet.engine INFO: Epoch: [109] [320/458] learning_rate: 0.226175 loss_vfl: 1.070183 loss_bbox: 0.493625 loss_dfl: 0.445176 loss: 2.030096 eta: 20:35:14 batch_cost: 0.9210 data_cost: 0.0043 ips: 69.4928 images/s
[03/18 23:56:23] ppdet.engine INFO: Epoch: [109] [340/458] learning_rate: 0.226108 loss_vfl: 1.060404 loss_bbox: 0.484483 loss_dfl: 0.431183 loss: 1.961683 eta: 20:34:56 batch_cost: 0.8214 data_cost: 0.0028 ips: 77.9192 images/s
[03/18 23:56:44] ppdet.engine INFO: Epoch: [109] [360/458] learning_rate: 0.226041 loss_vfl: 1.035777 loss_bbox: 0.477161 loss_dfl: 0.439388 loss: 1.951893 eta: 20:34:42 batch_cost: 0.9230 data_cost: 0.0037 ips: 69.3380 images/s
[03/18 23:57:04] ppdet.engine INFO: Epoch: [109] [380/458] learning_rate: 0.225974 loss_vfl: 1.038220 loss_bbox: 0.482511 loss_dfl: 0.438848 loss: 1.970364 eta: 20:34:26 batch_cost: 0.8742 data_cost: 0.0017 ips: 73.2130 images/s
[03/18 23:57:22] ppdet.engine INFO: Epoch: [109] [400/458] learning_rate: 0.225907 loss_vfl: 1.084919 loss_bbox: 0.508513 loss_dfl: 0.454276 loss: 2.036045 eta: 20:34:07 batch_cost: 0.8073 data_cost: 0.0018 ips: 79.2810 images/s
[03/18 23:57:43] ppdet.engine INFO: Epoch: [109] [420/458] learning_rate: 0.225841 loss_vfl: 1.043342 loss_bbox: 0.464656 loss_dfl: 0.442110 loss: 1.945472 eta: 20:33:54 batch_cost: 0.9619 data_cost: 0.0015 ips: 66.5360 images/s
[03/18 23:57:57] ppdet.engine INFO: Epoch: [109] [440/458] learning_rate: 0.225774 loss_vfl: 1.120123 loss_bbox: 0.496879 loss_dfl: 0.457641 loss: 2.080822 eta: 20:33:30 batch_cost: 0.6382 data_cost: 0.0009 ips: 100.2894 images/s
[03/18 23:58:13] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/18 23:58:13] ppdet.engine INFO: Eval iter: 0
[03/18 23:58:32] ppdet.engine INFO: Eval iter: 100
[03/18 23:58:41] ppdet.engine INFO: Eval iter: 200
[03/18 23:58:50] ppdet.engine INFO: Eval iter: 300
[03/18 23:59:00] ppdet.engine INFO: Eval iter: 400
[03/18 23:59:09] ppdet.engine INFO: Eval iter: 500
[03/18 23:59:19] ppdet.engine INFO: Eval iter: 600
[03/18 23:59:33] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.62s)
creating index...
index created!
[03/18 23:59:33] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.43s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=79.42s).
Accumulating evaluation results...
DONE (t=15.09s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.202
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.315
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.210
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.056
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.193
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.362
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.220
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.350
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.371
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.100
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.402
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.634
[03/19 00:01:14] ppdet.engine INFO: Total sample number: 4952, averge FPS: 72.30383572593387
[03/19 00:01:14] ppdet.engine INFO: Best test bbox ap is 0.202.
[03/19 00:01:14] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 00:01:15] ppdet.engine INFO: Epoch: [110] [  0/458] learning_rate: 0.225714 loss_vfl: 1.078675 loss_bbox: 0.497078 loss_dfl: 0.450491 loss: 2.028195 eta: 20:33:11 batch_cost: 0.7308 data_cost: 0.0004 ips: 87.5720 images/s
[03/19 00:01:27] ppdet.engine INFO: Epoch: [110] [ 20/458] learning_rate: 0.225647 loss_vfl: 1.070990 loss_bbox: 0.493959 loss_dfl: 0.445430 loss: 2.010444 eta: 20:32:42 batch_cost: 0.5069 data_cost: 0.0002 ips: 126.2545 images/s
[03/19 00:01:46] ppdet.engine INFO: Epoch: [110] [ 40/458] learning_rate: 0.225580 loss_vfl: 1.089127 loss_bbox: 0.504051 loss_dfl: 0.442694 loss: 2.039828 eta: 20:32:26 batch_cost: 0.8719 data_cost: 0.0021 ips: 73.4048 images/s
[03/19 00:02:06] ppdet.engine INFO: Epoch: [110] [ 60/458] learning_rate: 0.225513 loss_vfl: 1.025538 loss_bbox: 0.471402 loss_dfl: 0.426958 loss: 1.915721 eta: 20:32:11 batch_cost: 0.9307 data_cost: 0.0059 ips: 68.7682 images/s
[03/19 00:02:28] ppdet.engine INFO: Epoch: [110] [ 80/458] learning_rate: 0.225446 loss_vfl: 1.079819 loss_bbox: 0.497823 loss_dfl: 0.444698 loss: 2.036622 eta: 20:32:00 batch_cost: 1.0157 data_cost: 0.0016 ips: 63.0133 images/s
[03/19 00:02:53] ppdet.engine INFO: Epoch: [110] [100/458] learning_rate: 0.225379 loss_vfl: 1.037205 loss_bbox: 0.456949 loss_dfl: 0.419721 loss: 1.889078 eta: 20:31:53 batch_cost: 1.1488 data_cost: 0.0022 ips: 55.7102 images/s
[03/19 00:03:14] ppdet.engine INFO: Epoch: [110] [120/458] learning_rate: 0.225312 loss_vfl: 1.057757 loss_bbox: 0.474327 loss_dfl: 0.430264 loss: 1.979309 eta: 20:31:41 batch_cost: 0.9844 data_cost: 0.0073 ips: 65.0154 images/s
[03/19 00:03:32] ppdet.engine INFO: Epoch: [110] [140/458] learning_rate: 0.225245 loss_vfl: 1.117360 loss_bbox: 0.481720 loss_dfl: 0.449939 loss: 2.053866 eta: 20:31:23 batch_cost: 0.8187 data_cost: 0.0052 ips: 78.1680 images/s
[03/19 00:03:55] ppdet.engine INFO: Epoch: [110] [160/458] learning_rate: 0.225178 loss_vfl: 1.049161 loss_bbox: 0.471798 loss_dfl: 0.436697 loss: 1.960402 eta: 20:31:15 batch_cost: 1.1118 data_cost: 0.0069 ips: 57.5634 images/s
[03/19 00:04:16] ppdet.engine INFO: Epoch: [110] [180/458] learning_rate: 0.225111 loss_vfl: 1.051901 loss_bbox: 0.470457 loss_dfl: 0.433668 loss: 1.967003 eta: 20:30:59 batch_cost: 0.8947 data_cost: 0.0018 ips: 71.5303 images/s
[03/19 00:04:34] ppdet.engine INFO: Epoch: [110] [200/458] learning_rate: 0.225044 loss_vfl: 1.046481 loss_bbox: 0.483310 loss_dfl: 0.437149 loss: 1.978464 eta: 20:30:41 batch_cost: 0.8030 data_cost: 0.0047 ips: 79.7034 images/s
[03/19 00:04:55] ppdet.engine INFO: Epoch: [110] [220/458] learning_rate: 0.224977 loss_vfl: 1.099248 loss_bbox: 0.502480 loss_dfl: 0.445607 loss: 2.034092 eta: 20:30:28 batch_cost: 0.9667 data_cost: 0.0032 ips: 66.2063 images/s
[03/19 00:05:16] ppdet.engine INFO: Epoch: [110] [240/458] learning_rate: 0.224910 loss_vfl: 1.079429 loss_bbox: 0.464499 loss_dfl: 0.441038 loss: 1.997729 eta: 20:30:14 batch_cost: 0.9555 data_cost: 0.0019 ips: 66.9788 images/s
[03/19 00:05:36] ppdet.engine INFO: Epoch: [110] [260/458] learning_rate: 0.224843 loss_vfl: 1.092086 loss_bbox: 0.496600 loss_dfl: 0.447154 loss: 2.047794 eta: 20:29:58 batch_cost: 0.8718 data_cost: 0.0024 ips: 73.4102 images/s
[03/19 00:05:59] ppdet.engine INFO: Epoch: [110] [280/458] learning_rate: 0.224776 loss_vfl: 1.070316 loss_bbox: 0.501284 loss_dfl: 0.454351 loss: 2.077198 eta: 20:29:49 batch_cost: 1.0833 data_cost: 0.0023 ips: 59.0771 images/s
[03/19 00:06:20] ppdet.engine INFO: Epoch: [110] [300/458] learning_rate: 0.224709 loss_vfl: 1.082168 loss_bbox: 0.497536 loss_dfl: 0.456204 loss: 2.048692 eta: 20:29:35 batch_cost: 0.9464 data_cost: 0.0020 ips: 67.6243 images/s
[03/19 00:06:38] ppdet.engine INFO: Epoch: [110] [320/458] learning_rate: 0.224642 loss_vfl: 1.032078 loss_bbox: 0.466854 loss_dfl: 0.437230 loss: 1.940560 eta: 20:29:17 batch_cost: 0.8140 data_cost: 0.0008 ips: 78.6236 images/s
[03/19 00:06:59] ppdet.engine INFO: Epoch: [110] [340/458] learning_rate: 0.224575 loss_vfl: 1.082320 loss_bbox: 0.488738 loss_dfl: 0.446377 loss: 2.015422 eta: 20:29:03 batch_cost: 0.9413 data_cost: 0.0033 ips: 67.9879 images/s
[03/19 00:07:20] ppdet.engine INFO: Epoch: [110] [360/458] learning_rate: 0.224508 loss_vfl: 1.030203 loss_bbox: 0.478903 loss_dfl: 0.425203 loss: 1.927034 eta: 20:28:50 batch_cost: 0.9745 data_cost: 0.0017 ips: 65.6753 images/s
[03/19 00:07:42] ppdet.engine INFO: Epoch: [110] [380/458] learning_rate: 0.224441 loss_vfl: 1.079907 loss_bbox: 0.470521 loss_dfl: 0.434788 loss: 1.999444 eta: 20:28:38 batch_cost: 0.9880 data_cost: 0.0086 ips: 64.7764 images/s
[03/19 00:07:57] ppdet.engine INFO: Epoch: [110] [400/458] learning_rate: 0.224374 loss_vfl: 1.017315 loss_bbox: 0.473983 loss_dfl: 0.423487 loss: 1.901721 eta: 20:28:16 batch_cost: 0.7052 data_cost: 0.0024 ips: 90.7507 images/s
[03/19 00:08:14] ppdet.engine INFO: Epoch: [110] [420/458] learning_rate: 0.224307 loss_vfl: 1.091893 loss_bbox: 0.470587 loss_dfl: 0.434034 loss: 2.002643 eta: 20:27:55 batch_cost: 0.7485 data_cost: 0.0035 ips: 85.5081 images/s
[03/19 00:08:31] ppdet.engine INFO: Epoch: [110] [440/458] learning_rate: 0.224239 loss_vfl: 1.078470 loss_bbox: 0.488090 loss_dfl: 0.432018 loss: 2.008787 eta: 20:27:35 batch_cost: 0.7631 data_cost: 0.0003 ips: 83.8684 images/s
[03/19 00:08:53] ppdet.engine INFO: Epoch: [111] [  0/458] learning_rate: 0.224179 loss_vfl: 1.077354 loss_bbox: 0.497196 loss_dfl: 0.447497 loss: 2.020580 eta: 20:27:28 batch_cost: 1.0827 data_cost: 0.3893 ips: 59.1130 images/s
[03/19 00:09:11] ppdet.engine INFO: Epoch: [111] [ 20/458] learning_rate: 0.224112 loss_vfl: 1.085753 loss_bbox: 0.490135 loss_dfl: 0.443030 loss: 2.013668 eta: 20:27:07 batch_cost: 0.7344 data_cost: 0.0534 ips: 87.1492 images/s
[03/19 00:09:29] ppdet.engine INFO: Epoch: [111] [ 40/458] learning_rate: 0.224045 loss_vfl: 1.095715 loss_bbox: 0.493891 loss_dfl: 0.446887 loss: 2.046393 eta: 20:26:48 batch_cost: 0.7860 data_cost: 0.2077 ips: 81.4233 images/s
[03/19 00:09:49] ppdet.engine INFO: Epoch: [111] [ 60/458] learning_rate: 0.223977 loss_vfl: 1.083786 loss_bbox: 0.502687 loss_dfl: 0.458977 loss: 2.067503 eta: 20:26:32 batch_cost: 0.9039 data_cost: 0.2061 ips: 70.8034 images/s
[03/19 00:10:08] ppdet.engine INFO: Epoch: [111] [ 80/458] learning_rate: 0.223910 loss_vfl: 1.080803 loss_bbox: 0.511091 loss_dfl: 0.459493 loss: 2.066080 eta: 20:26:15 batch_cost: 0.8345 data_cost: 0.3014 ips: 76.6912 images/s
[03/19 00:10:30] ppdet.engine INFO: Epoch: [111] [100/458] learning_rate: 0.223843 loss_vfl: 1.046192 loss_bbox: 0.485049 loss_dfl: 0.442666 loss: 1.967164 eta: 20:26:01 batch_cost: 0.9580 data_cost: 0.0562 ips: 66.8045 images/s
[03/19 00:10:48] ppdet.engine INFO: Epoch: [111] [120/458] learning_rate: 0.223776 loss_vfl: 1.083985 loss_bbox: 0.491014 loss_dfl: 0.448116 loss: 2.034520 eta: 20:25:42 batch_cost: 0.7728 data_cost: 0.0009 ips: 82.8172 images/s
[03/19 00:11:08] ppdet.engine INFO: Epoch: [111] [140/458] learning_rate: 0.223708 loss_vfl: 1.083697 loss_bbox: 0.495622 loss_dfl: 0.439151 loss: 2.029063 eta: 20:25:25 batch_cost: 0.8714 data_cost: 0.0466 ips: 73.4472 images/s
[03/19 00:11:25] ppdet.engine INFO: Epoch: [111] [160/458] learning_rate: 0.223641 loss_vfl: 1.092627 loss_bbox: 0.490346 loss_dfl: 0.447924 loss: 2.031919 eta: 20:25:05 batch_cost: 0.7431 data_cost: 0.0447 ips: 86.1205 images/s
[03/19 00:11:48] ppdet.engine INFO: Epoch: [111] [180/458] learning_rate: 0.223574 loss_vfl: 1.115847 loss_bbox: 0.498968 loss_dfl: 0.460839 loss: 2.084815 eta: 20:24:54 batch_cost: 1.0305 data_cost: 0.5025 ips: 62.1066 images/s
[03/19 00:12:06] ppdet.engine INFO: Epoch: [111] [200/458] learning_rate: 0.223507 loss_vfl: 1.035292 loss_bbox: 0.463463 loss_dfl: 0.429239 loss: 1.911863 eta: 20:24:33 batch_cost: 0.7293 data_cost: 0.1051 ips: 87.7550 images/s
[03/19 00:12:23] ppdet.engine INFO: Epoch: [111] [220/458] learning_rate: 0.223439 loss_vfl: 1.086668 loss_bbox: 0.492613 loss_dfl: 0.439156 loss: 2.036914 eta: 20:24:13 batch_cost: 0.7562 data_cost: 0.0027 ips: 84.6337 images/s
[03/19 00:12:42] ppdet.engine INFO: Epoch: [111] [240/458] learning_rate: 0.223372 loss_vfl: 1.039771 loss_bbox: 0.496845 loss_dfl: 0.439002 loss: 1.962080 eta: 20:23:55 batch_cost: 0.8438 data_cost: 0.0241 ips: 75.8444 images/s
[03/19 00:13:02] ppdet.engine INFO: Epoch: [111] [260/458] learning_rate: 0.223305 loss_vfl: 1.057990 loss_bbox: 0.497311 loss_dfl: 0.444579 loss: 1.988093 eta: 20:23:39 batch_cost: 0.8846 data_cost: 0.0056 ips: 72.3466 images/s
[03/19 00:13:21] ppdet.engine INFO: Epoch: [111] [280/458] learning_rate: 0.223237 loss_vfl: 1.059211 loss_bbox: 0.485584 loss_dfl: 0.441920 loss: 1.994046 eta: 20:23:22 batch_cost: 0.8363 data_cost: 0.0050 ips: 76.5316 images/s
[03/19 00:13:40] ppdet.engine INFO: Epoch: [111] [300/458] learning_rate: 0.223170 loss_vfl: 1.084083 loss_bbox: 0.482854 loss_dfl: 0.443897 loss: 1.999313 eta: 20:23:04 batch_cost: 0.8218 data_cost: 0.0098 ips: 77.8805 images/s
[03/19 00:13:57] ppdet.engine INFO: Epoch: [111] [320/458] learning_rate: 0.223103 loss_vfl: 1.103188 loss_bbox: 0.493806 loss_dfl: 0.450242 loss: 2.035597 eta: 20:22:45 batch_cost: 0.8034 data_cost: 0.0080 ips: 79.6653 images/s
[03/19 00:14:20] ppdet.engine INFO: Epoch: [111] [340/458] learning_rate: 0.223035 loss_vfl: 1.053537 loss_bbox: 0.490740 loss_dfl: 0.437741 loss: 1.967857 eta: 20:22:34 batch_cost: 1.0180 data_cost: 0.1569 ips: 62.8713 images/s
[03/19 00:14:39] ppdet.engine INFO: Epoch: [111] [360/458] learning_rate: 0.222968 loss_vfl: 1.113204 loss_bbox: 0.494987 loss_dfl: 0.459201 loss: 2.090147 eta: 20:22:18 batch_cost: 0.8688 data_cost: 0.1844 ips: 73.6635 images/s
[03/19 00:14:58] ppdet.engine INFO: Epoch: [111] [380/458] learning_rate: 0.222900 loss_vfl: 1.061505 loss_bbox: 0.467001 loss_dfl: 0.439698 loss: 1.972452 eta: 20:22:01 batch_cost: 0.8743 data_cost: 0.0094 ips: 73.2008 images/s
[03/19 00:15:18] ppdet.engine INFO: Epoch: [111] [400/458] learning_rate: 0.222833 loss_vfl: 1.082201 loss_bbox: 0.479966 loss_dfl: 0.434313 loss: 1.955595 eta: 20:21:45 batch_cost: 0.8642 data_cost: 0.0044 ips: 74.0531 images/s
[03/19 00:15:32] ppdet.engine INFO: Epoch: [111] [420/458] learning_rate: 0.222766 loss_vfl: 1.065050 loss_bbox: 0.509050 loss_dfl: 0.450413 loss: 2.023402 eta: 20:21:21 batch_cost: 0.6526 data_cost: 0.0410 ips: 98.0724 images/s
[03/19 00:15:48] ppdet.engine INFO: Epoch: [111] [440/458] learning_rate: 0.222698 loss_vfl: 1.065593 loss_bbox: 0.487938 loss_dfl: 0.443257 loss: 1.995056 eta: 20:20:59 batch_cost: 0.6940 data_cost: 0.0118 ips: 92.2201 images/s
[03/19 00:16:11] ppdet.engine INFO: Epoch: [112] [  0/458] learning_rate: 0.222637 loss_vfl: 1.085887 loss_bbox: 0.478179 loss_dfl: 0.446921 loss: 2.002299 eta: 20:20:52 batch_cost: 1.1366 data_cost: 0.5138 ips: 56.3089 images/s
[03/19 00:16:27] ppdet.engine INFO: Epoch: [112] [ 20/458] learning_rate: 0.222570 loss_vfl: 1.079987 loss_bbox: 0.503515 loss_dfl: 0.459465 loss: 2.063603 eta: 20:20:28 batch_cost: 0.6353 data_cost: 0.0524 ips: 100.7368 images/s
[03/19 00:16:50] ppdet.engine INFO: Epoch: [112] [ 40/458] learning_rate: 0.222502 loss_vfl: 1.134716 loss_bbox: 0.488531 loss_dfl: 0.461220 loss: 2.087357 eta: 20:20:16 batch_cost: 1.0004 data_cost: 0.4436 ips: 63.9749 images/s
[03/19 00:17:14] ppdet.engine INFO: Epoch: [112] [ 60/458] learning_rate: 0.222435 loss_vfl: 1.068038 loss_bbox: 0.473218 loss_dfl: 0.441201 loss: 2.009632 eta: 20:20:06 batch_cost: 1.0598 data_cost: 0.4521 ips: 60.3879 images/s
[03/19 00:17:36] ppdet.engine INFO: Epoch: [112] [ 80/458] learning_rate: 0.222367 loss_vfl: 1.073270 loss_bbox: 0.492365 loss_dfl: 0.435680 loss: 1.991423 eta: 20:19:51 batch_cost: 0.9378 data_cost: 0.2793 ips: 68.2413 images/s
[03/19 00:17:55] ppdet.engine INFO: Epoch: [112] [100/458] learning_rate: 0.222300 loss_vfl: 1.068017 loss_bbox: 0.495964 loss_dfl: 0.446867 loss: 2.043997 eta: 20:19:33 batch_cost: 0.8006 data_cost: 0.2456 ips: 79.9430 images/s
[03/19 00:18:16] ppdet.engine INFO: Epoch: [112] [120/458] learning_rate: 0.222232 loss_vfl: 1.063708 loss_bbox: 0.472327 loss_dfl: 0.433165 loss: 1.964015 eta: 20:19:17 batch_cost: 0.8786 data_cost: 0.2038 ips: 72.8466 images/s
[03/19 00:18:39] ppdet.engine INFO: Epoch: [112] [140/458] learning_rate: 0.222165 loss_vfl: 1.053627 loss_bbox: 0.476077 loss_dfl: 0.425153 loss: 1.957379 eta: 20:19:03 batch_cost: 0.9661 data_cost: 0.1252 ips: 66.2446 images/s
[03/19 00:19:02] ppdet.engine INFO: Epoch: [112] [160/458] learning_rate: 0.222097 loss_vfl: 1.097571 loss_bbox: 0.517183 loss_dfl: 0.479735 loss: 2.114419 eta: 20:18:49 batch_cost: 0.9265 data_cost: 0.3206 ips: 69.0788 images/s
[03/19 00:19:22] ppdet.engine INFO: Epoch: [112] [180/458] learning_rate: 0.222030 loss_vfl: 1.073343 loss_bbox: 0.458211 loss_dfl: 0.433518 loss: 1.958715 eta: 20:18:30 batch_cost: 0.8038 data_cost: 0.2851 ips: 79.6230 images/s
[03/19 00:19:44] ppdet.engine INFO: Epoch: [112] [200/458] learning_rate: 0.221962 loss_vfl: 1.105169 loss_bbox: 0.502287 loss_dfl: 0.464621 loss: 2.076057 eta: 20:18:14 batch_cost: 0.8816 data_cost: 0.4003 ips: 72.5969 images/s
[03/19 00:20:06] ppdet.engine INFO: Epoch: [112] [220/458] learning_rate: 0.221894 loss_vfl: 1.084920 loss_bbox: 0.479568 loss_dfl: 0.450342 loss: 2.013155 eta: 20:18:02 batch_cost: 0.9920 data_cost: 0.5210 ips: 64.5139 images/s
[03/19 00:20:25] ppdet.engine INFO: Epoch: [112] [240/458] learning_rate: 0.221827 loss_vfl: 1.074153 loss_bbox: 0.465078 loss_dfl: 0.439680 loss: 1.987020 eta: 20:17:46 batch_cost: 0.8716 data_cost: 0.3839 ips: 73.4284 images/s
[03/19 00:20:45] ppdet.engine INFO: Epoch: [112] [260/458] learning_rate: 0.221759 loss_vfl: 1.050173 loss_bbox: 0.472418 loss_dfl: 0.442543 loss: 1.991009 eta: 20:17:29 batch_cost: 0.8683 data_cost: 0.3657 ips: 73.7099 images/s
[03/19 00:21:09] ppdet.engine INFO: Epoch: [112] [280/458] learning_rate: 0.221691 loss_vfl: 1.065654 loss_bbox: 0.483644 loss_dfl: 0.431621 loss: 1.987579 eta: 20:17:17 batch_cost: 0.9911 data_cost: 0.3842 ips: 64.5743 images/s
[03/19 00:21:29] ppdet.engine INFO: Epoch: [112] [300/458] learning_rate: 0.221624 loss_vfl: 1.098794 loss_bbox: 0.496682 loss_dfl: 0.452041 loss: 2.070915 eta: 20:17:01 batch_cost: 0.8751 data_cost: 0.1022 ips: 73.1370 images/s
[03/19 00:21:49] ppdet.engine INFO: Epoch: [112] [320/458] learning_rate: 0.221556 loss_vfl: 1.066638 loss_bbox: 0.509920 loss_dfl: 0.465914 loss: 2.064502 eta: 20:16:44 batch_cost: 0.8512 data_cost: 0.0048 ips: 75.1917 images/s
[03/19 00:22:11] ppdet.engine INFO: Epoch: [112] [340/458] learning_rate: 0.221488 loss_vfl: 1.071036 loss_bbox: 0.487455 loss_dfl: 0.448025 loss: 2.025724 eta: 20:16:28 batch_cost: 0.9029 data_cost: 0.0274 ips: 70.8841 images/s
[03/19 00:22:30] ppdet.engine INFO: Epoch: [112] [360/458] learning_rate: 0.221421 loss_vfl: 1.089676 loss_bbox: 0.484735 loss_dfl: 0.432240 loss: 2.005741 eta: 20:16:10 batch_cost: 0.8097 data_cost: 0.3329 ips: 79.0427 images/s
[03/19 00:22:46] ppdet.engine INFO: Epoch: [112] [380/458] learning_rate: 0.221353 loss_vfl: 1.098388 loss_bbox: 0.502924 loss_dfl: 0.463242 loss: 2.046976 eta: 20:15:47 batch_cost: 0.6584 data_cost: 0.2159 ips: 97.2002 images/s
[03/19 00:23:04] ppdet.engine INFO: Epoch: [112] [400/458] learning_rate: 0.221285 loss_vfl: 1.125213 loss_bbox: 0.500510 loss_dfl: 0.460071 loss: 2.105305 eta: 20:15:29 batch_cost: 0.8325 data_cost: 0.3822 ips: 76.8756 images/s
[03/19 00:23:21] ppdet.engine INFO: Epoch: [112] [420/458] learning_rate: 0.221217 loss_vfl: 1.077928 loss_bbox: 0.493105 loss_dfl: 0.450191 loss: 2.044463 eta: 20:15:08 batch_cost: 0.7391 data_cost: 0.2886 ips: 86.5954 images/s
[03/19 00:23:44] ppdet.engine INFO: Epoch: [112] [440/458] learning_rate: 0.221150 loss_vfl: 1.053621 loss_bbox: 0.473184 loss_dfl: 0.425934 loss: 1.910286 eta: 20:14:56 batch_cost: 1.0087 data_cost: 0.5295 ips: 63.4450 images/s
[03/19 00:24:08] ppdet.engine INFO: Epoch: [113] [  0/458] learning_rate: 0.221089 loss_vfl: 1.049268 loss_bbox: 0.474695 loss_dfl: 0.432670 loss: 1.964227 eta: 20:14:50 batch_cost: 1.1061 data_cost: 0.4129 ips: 57.8599 images/s
[03/19 00:24:27] ppdet.engine INFO: Epoch: [113] [ 20/458] learning_rate: 0.221021 loss_vfl: 1.040625 loss_bbox: 0.475811 loss_dfl: 0.424726 loss: 1.923614 eta: 20:14:32 batch_cost: 0.8054 data_cost: 0.0045 ips: 79.4619 images/s
[03/19 00:24:45] ppdet.engine INFO: Epoch: [113] [ 40/458] learning_rate: 0.220953 loss_vfl: 1.088249 loss_bbox: 0.483205 loss_dfl: 0.440770 loss: 1.986651 eta: 20:14:11 batch_cost: 0.7437 data_cost: 0.0060 ips: 86.0606 images/s
[03/19 00:25:05] ppdet.engine INFO: Epoch: [113] [ 60/458] learning_rate: 0.220885 loss_vfl: 1.086127 loss_bbox: 0.510581 loss_dfl: 0.451759 loss: 2.030369 eta: 20:13:57 batch_cost: 0.9342 data_cost: 0.0056 ips: 68.5044 images/s
[03/19 00:25:22] ppdet.engine INFO: Epoch: [113] [ 80/458] learning_rate: 0.220818 loss_vfl: 1.053446 loss_bbox: 0.467912 loss_dfl: 0.429255 loss: 1.936218 eta: 20:13:38 batch_cost: 0.7786 data_cost: 0.0048 ips: 82.2027 images/s
[03/19 00:25:44] ppdet.engine INFO: Epoch: [113] [100/458] learning_rate: 0.220750 loss_vfl: 1.001922 loss_bbox: 0.456226 loss_dfl: 0.409317 loss: 1.844863 eta: 20:13:25 batch_cost: 0.9836 data_cost: 0.0038 ips: 65.0662 images/s
[03/19 00:26:03] ppdet.engine INFO: Epoch: [113] [120/458] learning_rate: 0.220682 loss_vfl: 1.098429 loss_bbox: 0.501747 loss_dfl: 0.455176 loss: 2.071448 eta: 20:13:09 batch_cost: 0.8807 data_cost: 0.0058 ips: 72.6731 images/s
[03/19 00:26:25] ppdet.engine INFO: Epoch: [113] [140/458] learning_rate: 0.220614 loss_vfl: 1.070600 loss_bbox: 0.470100 loss_dfl: 0.442688 loss: 2.001415 eta: 20:12:56 batch_cost: 0.9671 data_cost: 0.0136 ips: 66.1741 images/s
[03/19 00:26:42] ppdet.engine INFO: Epoch: [113] [160/458] learning_rate: 0.220546 loss_vfl: 1.066863 loss_bbox: 0.492736 loss_dfl: 0.441737 loss: 2.015445 eta: 20:12:36 batch_cost: 0.7714 data_cost: 0.0074 ips: 82.9640 images/s
[03/19 00:27:02] ppdet.engine INFO: Epoch: [113] [180/458] learning_rate: 0.220478 loss_vfl: 1.081275 loss_bbox: 0.484170 loss_dfl: 0.442540 loss: 2.013944 eta: 20:12:22 batch_cost: 0.9427 data_cost: 0.0025 ips: 67.8879 images/s
[03/19 00:27:22] ppdet.engine INFO: Epoch: [113] [200/458] learning_rate: 0.220410 loss_vfl: 1.071659 loss_bbox: 0.485108 loss_dfl: 0.458845 loss: 2.010261 eta: 20:12:07 batch_cost: 0.9007 data_cost: 0.0059 ips: 71.0579 images/s
[03/19 00:27:43] ppdet.engine INFO: Epoch: [113] [220/458] learning_rate: 0.220342 loss_vfl: 1.035514 loss_bbox: 0.470773 loss_dfl: 0.427421 loss: 1.930011 eta: 20:11:52 batch_cost: 0.9357 data_cost: 0.0016 ips: 68.3951 images/s
[03/19 00:28:00] ppdet.engine INFO: Epoch: [113] [240/458] learning_rate: 0.220275 loss_vfl: 1.066707 loss_bbox: 0.484080 loss_dfl: 0.433033 loss: 2.000343 eta: 20:11:33 batch_cost: 0.7741 data_cost: 0.0029 ips: 82.6787 images/s
[03/19 00:28:19] ppdet.engine INFO: Epoch: [113] [260/458] learning_rate: 0.220207 loss_vfl: 1.062792 loss_bbox: 0.494450 loss_dfl: 0.448648 loss: 1.985174 eta: 20:11:15 batch_cost: 0.8401 data_cost: 0.0016 ips: 76.1807 images/s
[03/19 00:28:41] ppdet.engine INFO: Epoch: [113] [280/458] learning_rate: 0.220139 loss_vfl: 1.107649 loss_bbox: 0.482577 loss_dfl: 0.448124 loss: 2.030146 eta: 20:11:04 batch_cost: 1.0088 data_cost: 0.0042 ips: 63.4424 images/s
[03/19 00:28:58] ppdet.engine INFO: Epoch: [113] [300/458] learning_rate: 0.220071 loss_vfl: 1.110151 loss_bbox: 0.498623 loss_dfl: 0.460751 loss: 2.064707 eta: 20:10:43 batch_cost: 0.7568 data_cost: 0.0078 ips: 84.5718 images/s
[03/19 00:29:18] ppdet.engine INFO: Epoch: [113] [320/458] learning_rate: 0.220003 loss_vfl: 1.084019 loss_bbox: 0.479782 loss_dfl: 0.429326 loss: 1.972757 eta: 20:10:28 batch_cost: 0.8950 data_cost: 0.0028 ips: 71.5058 images/s
[03/19 00:29:40] ppdet.engine INFO: Epoch: [113] [340/458] learning_rate: 0.219935 loss_vfl: 1.073750 loss_bbox: 0.484029 loss_dfl: 0.438109 loss: 1.972162 eta: 20:10:15 batch_cost: 0.9739 data_cost: 0.0065 ips: 65.7170 images/s
[03/19 00:29:55] ppdet.engine INFO: Epoch: [113] [360/458] learning_rate: 0.219867 loss_vfl: 1.067039 loss_bbox: 0.478576 loss_dfl: 0.430637 loss: 1.982123 eta: 20:09:50 batch_cost: 0.6238 data_cost: 0.0093 ips: 102.5925 images/s
[03/19 00:30:10] ppdet.engine INFO: Epoch: [113] [380/458] learning_rate: 0.219799 loss_vfl: 1.046321 loss_bbox: 0.481169 loss_dfl: 0.435206 loss: 1.950782 eta: 20:09:29 batch_cost: 0.7083 data_cost: 0.0052 ips: 90.3618 images/s
[03/19 00:30:26] ppdet.engine INFO: Epoch: [113] [400/458] learning_rate: 0.219731 loss_vfl: 1.027516 loss_bbox: 0.467128 loss_dfl: 0.433290 loss: 1.991438 eta: 20:09:06 batch_cost: 0.6790 data_cost: 0.0013 ips: 94.2631 images/s
[03/19 00:30:44] ppdet.engine INFO: Epoch: [113] [420/458] learning_rate: 0.219663 loss_vfl: 1.099929 loss_bbox: 0.507472 loss_dfl: 0.445791 loss: 2.074303 eta: 20:08:47 batch_cost: 0.7990 data_cost: 0.0032 ips: 80.1009 images/s
[03/19 00:31:04] ppdet.engine INFO: Epoch: [113] [440/458] learning_rate: 0.219595 loss_vfl: 1.108415 loss_bbox: 0.510113 loss_dfl: 0.438629 loss: 2.017713 eta: 20:08:32 batch_cost: 0.8873 data_cost: 0.0021 ips: 72.1320 images/s
[03/19 00:31:26] ppdet.engine INFO: Epoch: [114] [  0/458] learning_rate: 0.219533 loss_vfl: 1.074962 loss_bbox: 0.462944 loss_dfl: 0.429400 loss: 1.976674 eta: 20:08:24 batch_cost: 1.0845 data_cost: 0.3523 ips: 59.0117 images/s
[03/19 00:31:43] ppdet.engine INFO: Epoch: [114] [ 20/458] learning_rate: 0.219465 loss_vfl: 1.090709 loss_bbox: 0.484432 loss_dfl: 0.455076 loss: 2.055550 eta: 20:08:04 batch_cost: 0.7495 data_cost: 0.0028 ips: 85.3901 images/s
[03/19 00:32:04] ppdet.engine INFO: Epoch: [114] [ 40/458] learning_rate: 0.219397 loss_vfl: 1.040029 loss_bbox: 0.485060 loss_dfl: 0.433220 loss: 1.941509 eta: 20:07:49 batch_cost: 0.9156 data_cost: 0.0009 ips: 69.9000 images/s
[03/19 00:32:23] ppdet.engine INFO: Epoch: [114] [ 60/458] learning_rate: 0.219329 loss_vfl: 1.026232 loss_bbox: 0.465232 loss_dfl: 0.432031 loss: 1.932524 eta: 20:07:31 batch_cost: 0.8218 data_cost: 0.0081 ips: 77.8817 images/s
[03/19 00:32:42] ppdet.engine INFO: Epoch: [114] [ 80/458] learning_rate: 0.219261 loss_vfl: 1.052102 loss_bbox: 0.467811 loss_dfl: 0.419057 loss: 1.951718 eta: 20:07:13 batch_cost: 0.8227 data_cost: 0.0035 ips: 77.7908 images/s
[03/19 00:33:02] ppdet.engine INFO: Epoch: [114] [100/458] learning_rate: 0.219193 loss_vfl: 1.042929 loss_bbox: 0.488968 loss_dfl: 0.439746 loss: 1.944454 eta: 20:06:57 batch_cost: 0.8739 data_cost: 0.0044 ips: 73.2324 images/s
[03/19 00:33:20] ppdet.engine INFO: Epoch: [114] [120/458] learning_rate: 0.219125 loss_vfl: 1.041981 loss_bbox: 0.477232 loss_dfl: 0.429274 loss: 1.931650 eta: 20:06:37 batch_cost: 0.7722 data_cost: 0.0078 ips: 82.8792 images/s
[03/19 00:33:39] ppdet.engine INFO: Epoch: [114] [140/458] learning_rate: 0.219057 loss_vfl: 1.054014 loss_bbox: 0.477683 loss_dfl: 0.438660 loss: 1.939623 eta: 20:06:19 batch_cost: 0.8234 data_cost: 0.0246 ips: 77.7258 images/s
[03/19 00:33:58] ppdet.engine INFO: Epoch: [114] [160/458] learning_rate: 0.218989 loss_vfl: 1.087786 loss_bbox: 0.491995 loss_dfl: 0.452938 loss: 2.056044 eta: 20:06:02 batch_cost: 0.8636 data_cost: 0.2136 ips: 74.1103 images/s
[03/19 00:34:17] ppdet.engine INFO: Epoch: [114] [180/458] learning_rate: 0.218920 loss_vfl: 1.140029 loss_bbox: 0.513133 loss_dfl: 0.479902 loss: 2.143154 eta: 20:05:44 batch_cost: 0.8021 data_cost: 0.1504 ips: 79.7937 images/s
[03/19 00:34:35] ppdet.engine INFO: Epoch: [114] [200/458] learning_rate: 0.218852 loss_vfl: 1.063458 loss_bbox: 0.497330 loss_dfl: 0.454213 loss: 2.020211 eta: 20:05:25 batch_cost: 0.7971 data_cost: 0.1010 ips: 80.2884 images/s
[03/19 00:34:53] ppdet.engine INFO: Epoch: [114] [220/458] learning_rate: 0.218784 loss_vfl: 1.076755 loss_bbox: 0.474892 loss_dfl: 0.445589 loss: 2.017644 eta: 20:05:06 batch_cost: 0.7897 data_cost: 0.0452 ips: 81.0468 images/s
[03/19 00:35:13] ppdet.engine INFO: Epoch: [114] [240/458] learning_rate: 0.218716 loss_vfl: 1.032514 loss_bbox: 0.458464 loss_dfl: 0.424090 loss: 1.919566 eta: 20:04:49 batch_cost: 0.8475 data_cost: 0.1798 ips: 75.5192 images/s
[03/19 00:35:31] ppdet.engine INFO: Epoch: [114] [260/458] learning_rate: 0.218648 loss_vfl: 1.043895 loss_bbox: 0.477737 loss_dfl: 0.431191 loss: 1.928399 eta: 20:04:30 batch_cost: 0.8048 data_cost: 0.2073 ips: 79.5265 images/s
[03/19 00:35:52] ppdet.engine INFO: Epoch: [114] [280/458] learning_rate: 0.218579 loss_vfl: 1.078413 loss_bbox: 0.484512 loss_dfl: 0.449494 loss: 2.019176 eta: 20:04:15 batch_cost: 0.9126 data_cost: 0.2519 ips: 70.1306 images/s
[03/19 00:36:11] ppdet.engine INFO: Epoch: [114] [300/458] learning_rate: 0.218511 loss_vfl: 1.007053 loss_bbox: 0.439689 loss_dfl: 0.412877 loss: 1.876126 eta: 20:03:57 batch_cost: 0.7958 data_cost: 0.2305 ips: 80.4270 images/s
[03/19 00:36:32] ppdet.engine INFO: Epoch: [114] [320/458] learning_rate: 0.218443 loss_vfl: 1.068496 loss_bbox: 0.463179 loss_dfl: 0.437878 loss: 1.963750 eta: 20:03:44 batch_cost: 0.9722 data_cost: 0.4521 ips: 65.8268 images/s
[03/19 00:36:52] ppdet.engine INFO: Epoch: [114] [340/458] learning_rate: 0.218375 loss_vfl: 1.117511 loss_bbox: 0.508422 loss_dfl: 0.463255 loss: 2.092928 eta: 20:03:28 batch_cost: 0.9005 data_cost: 0.3589 ips: 71.0740 images/s
[03/19 00:37:08] ppdet.engine INFO: Epoch: [114] [360/458] learning_rate: 0.218306 loss_vfl: 1.079601 loss_bbox: 0.475372 loss_dfl: 0.439279 loss: 2.007137 eta: 20:03:07 batch_cost: 0.7322 data_cost: 0.1163 ips: 87.4060 images/s
[03/19 00:37:24] ppdet.engine INFO: Epoch: [114] [380/458] learning_rate: 0.218238 loss_vfl: 1.013729 loss_bbox: 0.458927 loss_dfl: 0.413730 loss: 1.885132 eta: 20:02:45 batch_cost: 0.6864 data_cost: 0.1703 ips: 93.2427 images/s
[03/19 00:37:39] ppdet.engine INFO: Epoch: [114] [400/458] learning_rate: 0.218170 loss_vfl: 1.112506 loss_bbox: 0.501521 loss_dfl: 0.455879 loss: 2.090925 eta: 20:02:22 batch_cost: 0.6566 data_cost: 0.0413 ips: 97.4685 images/s
[03/19 00:37:55] ppdet.engine INFO: Epoch: [114] [420/458] learning_rate: 0.218101 loss_vfl: 1.018797 loss_bbox: 0.449967 loss_dfl: 0.409756 loss: 1.862167 eta: 20:02:00 batch_cost: 0.7056 data_cost: 0.0057 ips: 90.6988 images/s
[03/19 00:38:15] ppdet.engine INFO: Epoch: [114] [440/458] learning_rate: 0.218033 loss_vfl: 1.067908 loss_bbox: 0.478684 loss_dfl: 0.434864 loss: 2.006682 eta: 20:01:43 batch_cost: 0.8517 data_cost: 0.0131 ips: 75.1460 images/s
[03/19 00:38:38] ppdet.engine INFO: Epoch: [115] [  0/458] learning_rate: 0.217972 loss_vfl: 1.063001 loss_bbox: 0.485596 loss_dfl: 0.437281 loss: 1.984738 eta: 20:01:36 batch_cost: 1.0972 data_cost: 0.2407 ips: 58.3312 images/s
[03/19 00:38:56] ppdet.engine INFO: Epoch: [115] [ 20/458] learning_rate: 0.217903 loss_vfl: 1.105780 loss_bbox: 0.507210 loss_dfl: 0.455497 loss: 2.074408 eta: 20:01:16 batch_cost: 0.7567 data_cost: 0.0109 ips: 84.5754 images/s
[03/19 00:39:17] ppdet.engine INFO: Epoch: [115] [ 40/458] learning_rate: 0.217835 loss_vfl: 1.054887 loss_bbox: 0.479327 loss_dfl: 0.437571 loss: 1.962407 eta: 20:01:01 batch_cost: 0.9183 data_cost: 0.2473 ips: 69.6939 images/s
[03/19 00:39:38] ppdet.engine INFO: Epoch: [115] [ 60/458] learning_rate: 0.217766 loss_vfl: 1.080072 loss_bbox: 0.479381 loss_dfl: 0.444371 loss: 2.013537 eta: 20:00:46 batch_cost: 0.8946 data_cost: 0.0294 ips: 71.5429 images/s
[03/19 00:39:56] ppdet.engine INFO: Epoch: [115] [ 80/458] learning_rate: 0.217698 loss_vfl: 1.101985 loss_bbox: 0.506352 loss_dfl: 0.450469 loss: 2.078515 eta: 20:00:25 batch_cost: 0.7416 data_cost: 0.0032 ips: 86.3021 images/s
[03/19 00:40:19] ppdet.engine INFO: Epoch: [115] [100/458] learning_rate: 0.217630 loss_vfl: 1.118988 loss_bbox: 0.514770 loss_dfl: 0.463203 loss: 2.091809 eta: 20:00:15 batch_cost: 1.0478 data_cost: 0.0097 ips: 61.0794 images/s
[03/19 00:40:39] ppdet.engine INFO: Epoch: [115] [120/458] learning_rate: 0.217561 loss_vfl: 1.090696 loss_bbox: 0.492093 loss_dfl: 0.442109 loss: 2.016385 eta: 19:59:58 batch_cost: 0.8726 data_cost: 0.0066 ips: 73.3475 images/s
[03/19 00:40:58] ppdet.engine INFO: Epoch: [115] [140/458] learning_rate: 0.217493 loss_vfl: 1.117839 loss_bbox: 0.500257 loss_dfl: 0.460992 loss: 2.075951 eta: 19:59:40 batch_cost: 0.8187 data_cost: 0.0020 ips: 78.1682 images/s
[03/19 00:41:17] ppdet.engine INFO: Epoch: [115] [160/458] learning_rate: 0.217424 loss_vfl: 1.120269 loss_bbox: 0.504380 loss_dfl: 0.454024 loss: 2.101228 eta: 19:59:23 batch_cost: 0.8354 data_cost: 0.1224 ips: 76.6068 images/s
[03/19 00:41:35] ppdet.engine INFO: Epoch: [115] [180/458] learning_rate: 0.217356 loss_vfl: 1.083078 loss_bbox: 0.482771 loss_dfl: 0.436798 loss: 2.010931 eta: 19:59:05 batch_cost: 0.8379 data_cost: 0.2668 ips: 76.3836 images/s
[03/19 00:41:56] ppdet.engine INFO: Epoch: [115] [200/458] learning_rate: 0.217288 loss_vfl: 1.058658 loss_bbox: 0.478763 loss_dfl: 0.447701 loss: 1.984269 eta: 19:58:50 batch_cost: 0.9183 data_cost: 0.2924 ips: 69.6959 images/s
[03/19 00:42:16] ppdet.engine INFO: Epoch: [115] [220/458] learning_rate: 0.217219 loss_vfl: 1.057355 loss_bbox: 0.485579 loss_dfl: 0.443494 loss: 2.009118 eta: 19:58:35 batch_cost: 0.9166 data_cost: 0.3336 ips: 69.8265 images/s
[03/19 00:42:34] ppdet.engine INFO: Epoch: [115] [240/458] learning_rate: 0.217151 loss_vfl: 1.077381 loss_bbox: 0.495398 loss_dfl: 0.444828 loss: 2.010753 eta: 19:58:15 batch_cost: 0.7513 data_cost: 0.1312 ips: 85.1811 images/s
[03/19 00:42:55] ppdet.engine INFO: Epoch: [115] [260/458] learning_rate: 0.217082 loss_vfl: 1.049708 loss_bbox: 0.476686 loss_dfl: 0.432001 loss: 1.946547 eta: 19:58:00 batch_cost: 0.9035 data_cost: 0.1786 ips: 70.8344 images/s
[03/19 00:43:15] ppdet.engine INFO: Epoch: [115] [280/458] learning_rate: 0.217014 loss_vfl: 1.077311 loss_bbox: 0.501047 loss_dfl: 0.441392 loss: 2.010729 eta: 19:57:44 batch_cost: 0.8718 data_cost: 0.1456 ips: 73.4087 images/s
[03/19 00:43:35] ppdet.engine INFO: Epoch: [115] [300/458] learning_rate: 0.216945 loss_vfl: 0.993068 loss_bbox: 0.447739 loss_dfl: 0.417655 loss: 1.883113 eta: 19:57:27 batch_cost: 0.8691 data_cost: 0.0015 ips: 73.6383 images/s
[03/19 00:43:58] ppdet.engine INFO: Epoch: [115] [320/458] learning_rate: 0.216877 loss_vfl: 1.102627 loss_bbox: 0.492317 loss_dfl: 0.460609 loss: 2.051328 eta: 19:57:16 batch_cost: 1.0265 data_cost: 0.0249 ips: 62.3470 images/s
[03/19 00:44:16] ppdet.engine INFO: Epoch: [115] [340/458] learning_rate: 0.216808 loss_vfl: 1.116735 loss_bbox: 0.513916 loss_dfl: 0.463877 loss: 2.096905 eta: 19:56:56 batch_cost: 0.7725 data_cost: 0.0027 ips: 82.8428 images/s
[03/19 00:44:33] ppdet.engine INFO: Epoch: [115] [360/458] learning_rate: 0.216739 loss_vfl: 1.028072 loss_bbox: 0.464728 loss_dfl: 0.435879 loss: 1.961566 eta: 19:56:34 batch_cost: 0.6898 data_cost: 0.0042 ips: 92.7816 images/s
[03/19 00:44:49] ppdet.engine INFO: Epoch: [115] [380/458] learning_rate: 0.216671 loss_vfl: 1.127253 loss_bbox: 0.499696 loss_dfl: 0.468504 loss: 2.098397 eta: 19:56:13 batch_cost: 0.7135 data_cost: 0.0022 ips: 89.6941 images/s
[03/19 00:45:05] ppdet.engine INFO: Epoch: [115] [400/458] learning_rate: 0.216602 loss_vfl: 1.048572 loss_bbox: 0.500456 loss_dfl: 0.447677 loss: 1.978644 eta: 19:55:51 batch_cost: 0.7123 data_cost: 0.1088 ips: 89.8552 images/s
[03/19 00:45:25] ppdet.engine INFO: Epoch: [115] [420/458] learning_rate: 0.216534 loss_vfl: 1.048320 loss_bbox: 0.473716 loss_dfl: 0.427824 loss: 1.957962 eta: 19:55:35 batch_cost: 0.8740 data_cost: 0.2171 ips: 73.2267 images/s
[03/19 00:45:42] ppdet.engine INFO: Epoch: [115] [440/458] learning_rate: 0.216465 loss_vfl: 1.059345 loss_bbox: 0.471153 loss_dfl: 0.432207 loss: 1.971289 eta: 19:55:16 batch_cost: 0.7833 data_cost: 0.0784 ips: 81.7009 images/s
[03/19 00:46:07] ppdet.engine INFO: Epoch: [116] [  0/458] learning_rate: 0.216403 loss_vfl: 1.087268 loss_bbox: 0.503115 loss_dfl: 0.445272 loss: 2.036921 eta: 19:55:12 batch_cost: 1.1855 data_cost: 0.5661 ips: 53.9872 images/s
[03/19 00:46:26] ppdet.engine INFO: Epoch: [116] [ 20/458] learning_rate: 0.216335 loss_vfl: 1.118857 loss_bbox: 0.502801 loss_dfl: 0.460714 loss: 2.074859 eta: 19:54:53 batch_cost: 0.8106 data_cost: 0.0006 ips: 78.9579 images/s
[03/19 00:46:43] ppdet.engine INFO: Epoch: [116] [ 40/458] learning_rate: 0.216266 loss_vfl: 1.052008 loss_bbox: 0.497030 loss_dfl: 0.450045 loss: 2.007940 eta: 19:54:33 batch_cost: 0.7473 data_cost: 0.0035 ips: 85.6462 images/s
[03/19 00:47:03] ppdet.engine INFO: Epoch: [116] [ 60/458] learning_rate: 0.216197 loss_vfl: 0.944177 loss_bbox: 0.456397 loss_dfl: 0.394809 loss: 1.783071 eta: 19:54:13 batch_cost: 0.7601 data_cost: 0.0029 ips: 84.2039 images/s
[03/19 00:47:21] ppdet.engine INFO: Epoch: [116] [ 80/458] learning_rate: 0.216129 loss_vfl: 1.103907 loss_bbox: 0.507501 loss_dfl: 0.459063 loss: 2.044397 eta: 19:53:54 batch_cost: 0.7916 data_cost: 0.0158 ips: 80.8531 images/s
[03/19 00:47:41] ppdet.engine INFO: Epoch: [116] [100/458] learning_rate: 0.216060 loss_vfl: 1.018777 loss_bbox: 0.474236 loss_dfl: 0.427385 loss: 1.918269 eta: 19:53:36 batch_cost: 0.8185 data_cost: 0.0038 ips: 78.1875 images/s
[03/19 00:48:00] ppdet.engine INFO: Epoch: [116] [120/458] learning_rate: 0.215991 loss_vfl: 1.073440 loss_bbox: 0.491317 loss_dfl: 0.452155 loss: 2.037483 eta: 19:53:19 batch_cost: 0.8563 data_cost: 0.1909 ips: 74.7389 images/s
[03/19 00:48:18] ppdet.engine INFO: Epoch: [116] [140/458] learning_rate: 0.215923 loss_vfl: 1.066558 loss_bbox: 0.492012 loss_dfl: 0.438167 loss: 1.990793 eta: 19:53:01 batch_cost: 0.8191 data_cost: 0.0131 ips: 78.1298 images/s
[03/19 00:48:35] ppdet.engine INFO: Epoch: [116] [160/458] learning_rate: 0.215854 loss_vfl: 1.047218 loss_bbox: 0.467777 loss_dfl: 0.423962 loss: 1.952657 eta: 19:52:41 batch_cost: 0.7327 data_cost: 0.0034 ips: 87.3493 images/s
[03/19 00:48:55] ppdet.engine INFO: Epoch: [116] [180/458] learning_rate: 0.215785 loss_vfl: 1.021230 loss_bbox: 0.461684 loss_dfl: 0.414017 loss: 1.901960 eta: 19:52:23 batch_cost: 0.8368 data_cost: 0.0031 ips: 76.4830 images/s
[03/19 00:49:14] ppdet.engine INFO: Epoch: [116] [200/458] learning_rate: 0.215717 loss_vfl: 1.112108 loss_bbox: 0.519944 loss_dfl: 0.465813 loss: 2.105234 eta: 19:52:06 batch_cost: 0.8383 data_cost: 0.0354 ips: 76.3434 images/s
[03/19 00:49:35] ppdet.engine INFO: Epoch: [116] [220/458] learning_rate: 0.215648 loss_vfl: 1.085265 loss_bbox: 0.498046 loss_dfl: 0.449966 loss: 2.027875 eta: 19:51:49 batch_cost: 0.8646 data_cost: 0.1023 ips: 74.0237 images/s
[03/19 00:49:52] ppdet.engine INFO: Epoch: [116] [240/458] learning_rate: 0.215579 loss_vfl: 1.043293 loss_bbox: 0.469296 loss_dfl: 0.429559 loss: 1.934669 eta: 19:51:30 batch_cost: 0.7683 data_cost: 0.0019 ips: 83.3053 images/s
[03/19 00:50:15] ppdet.engine INFO: Epoch: [116] [260/458] learning_rate: 0.215510 loss_vfl: 1.036119 loss_bbox: 0.452245 loss_dfl: 0.433802 loss: 1.962193 eta: 19:51:17 batch_cost: 1.0013 data_cost: 0.2255 ips: 63.9141 images/s
[03/19 00:50:33] ppdet.engine INFO: Epoch: [116] [280/458] learning_rate: 0.215441 loss_vfl: 1.027969 loss_bbox: 0.455963 loss_dfl: 0.424548 loss: 1.914268 eta: 19:50:59 batch_cost: 0.7922 data_cost: 0.0031 ips: 80.7851 images/s
[03/19 00:50:50] ppdet.engine INFO: Epoch: [116] [300/458] learning_rate: 0.215373 loss_vfl: 1.060263 loss_bbox: 0.479846 loss_dfl: 0.439997 loss: 1.987257 eta: 19:50:38 batch_cost: 0.7387 data_cost: 0.0051 ips: 86.6406 images/s
[03/19 00:51:11] ppdet.engine INFO: Epoch: [116] [320/458] learning_rate: 0.215304 loss_vfl: 1.071777 loss_bbox: 0.462095 loss_dfl: 0.436580 loss: 1.959351 eta: 19:50:22 batch_cost: 0.8940 data_cost: 0.0048 ips: 71.5890 images/s
[03/19 00:51:30] ppdet.engine INFO: Epoch: [116] [340/458] learning_rate: 0.215235 loss_vfl: 1.065596 loss_bbox: 0.463761 loss_dfl: 0.440075 loss: 1.968687 eta: 19:50:03 batch_cost: 0.7746 data_cost: 0.1810 ips: 82.6276 images/s
[03/19 00:51:52] ppdet.engine INFO: Epoch: [116] [360/458] learning_rate: 0.215166 loss_vfl: 1.096935 loss_bbox: 0.492970 loss_dfl: 0.452097 loss: 2.077842 eta: 19:49:50 batch_cost: 0.9913 data_cost: 0.3891 ips: 64.5606 images/s
[03/19 00:52:08] ppdet.engine INFO: Epoch: [116] [380/458] learning_rate: 0.215097 loss_vfl: 1.081697 loss_bbox: 0.481933 loss_dfl: 0.444330 loss: 1.993881 eta: 19:49:30 batch_cost: 0.7453 data_cost: 0.3506 ips: 85.8727 images/s
[03/19 00:52:22] ppdet.engine INFO: Epoch: [116] [400/458] learning_rate: 0.215029 loss_vfl: 1.054452 loss_bbox: 0.475827 loss_dfl: 0.440578 loss: 1.981482 eta: 19:49:03 batch_cost: 0.5270 data_cost: 0.1143 ips: 121.4397 images/s
[03/19 00:52:39] ppdet.engine INFO: Epoch: [116] [420/458] learning_rate: 0.214960 loss_vfl: 1.140008 loss_bbox: 0.507344 loss_dfl: 0.463650 loss: 2.113691 eta: 19:48:43 batch_cost: 0.7745 data_cost: 0.3650 ips: 82.6362 images/s
[03/19 00:53:00] ppdet.engine INFO: Epoch: [116] [440/458] learning_rate: 0.214891 loss_vfl: 1.041242 loss_bbox: 0.438971 loss_dfl: 0.403753 loss: 1.874607 eta: 19:48:30 batch_cost: 0.9536 data_cost: 0.3406 ips: 67.1144 images/s
[03/19 00:53:21] ppdet.engine INFO: Epoch: [117] [  0/458] learning_rate: 0.214829 loss_vfl: 1.109145 loss_bbox: 0.505499 loss_dfl: 0.453781 loss: 2.059386 eta: 19:48:20 batch_cost: 1.0098 data_cost: 0.4694 ips: 63.3773 images/s
[03/19 00:53:39] ppdet.engine INFO: Epoch: [117] [ 20/458] learning_rate: 0.214760 loss_vfl: 1.093034 loss_bbox: 0.509333 loss_dfl: 0.457235 loss: 2.110317 eta: 19:47:58 batch_cost: 0.7122 data_cost: 0.0050 ips: 89.8626 images/s
[03/19 00:54:00] ppdet.engine INFO: Epoch: [117] [ 40/458] learning_rate: 0.214691 loss_vfl: 1.038592 loss_bbox: 0.476673 loss_dfl: 0.425841 loss: 1.940828 eta: 19:47:44 batch_cost: 0.9199 data_cost: 0.2520 ips: 69.5692 images/s
[03/19 00:54:20] ppdet.engine INFO: Epoch: [117] [ 60/458] learning_rate: 0.214622 loss_vfl: 1.035910 loss_bbox: 0.482938 loss_dfl: 0.435030 loss: 1.962937 eta: 19:47:27 batch_cost: 0.8549 data_cost: 0.3241 ips: 74.8653 images/s
[03/19 00:54:39] ppdet.engine INFO: Epoch: [117] [ 80/458] learning_rate: 0.214553 loss_vfl: 1.088072 loss_bbox: 0.490094 loss_dfl: 0.444720 loss: 2.009798 eta: 19:47:10 batch_cost: 0.8722 data_cost: 0.3196 ips: 73.3770 images/s
[03/19 00:54:58] ppdet.engine INFO: Epoch: [117] [100/458] learning_rate: 0.214484 loss_vfl: 1.071258 loss_bbox: 0.456017 loss_dfl: 0.436067 loss: 1.968367 eta: 19:46:52 batch_cost: 0.8121 data_cost: 0.0817 ips: 78.8086 images/s
[03/19 00:55:19] ppdet.engine INFO: Epoch: [117] [120/458] learning_rate: 0.214415 loss_vfl: 1.069019 loss_bbox: 0.471425 loss_dfl: 0.425342 loss: 1.981464 eta: 19:46:38 batch_cost: 0.9335 data_cost: 0.1131 ips: 68.5586 images/s
[03/19 00:55:39] ppdet.engine INFO: Epoch: [117] [140/458] learning_rate: 0.214346 loss_vfl: 1.061502 loss_bbox: 0.483414 loss_dfl: 0.437757 loss: 1.979408 eta: 19:46:21 batch_cost: 0.8686 data_cost: 0.2427 ips: 73.6777 images/s
[03/19 00:55:59] ppdet.engine INFO: Epoch: [117] [160/458] learning_rate: 0.214277 loss_vfl: 1.022414 loss_bbox: 0.462255 loss_dfl: 0.413859 loss: 1.883007 eta: 19:46:06 batch_cost: 0.8896 data_cost: 0.2952 ips: 71.9404 images/s
[03/19 00:56:19] ppdet.engine INFO: Epoch: [117] [180/458] learning_rate: 0.214208 loss_vfl: 1.094363 loss_bbox: 0.479903 loss_dfl: 0.443019 loss: 1.997535 eta: 19:45:50 batch_cost: 0.8886 data_cost: 0.1582 ips: 72.0268 images/s
[03/19 00:56:38] ppdet.engine INFO: Epoch: [117] [200/458] learning_rate: 0.214139 loss_vfl: 1.041334 loss_bbox: 0.475593 loss_dfl: 0.437912 loss: 1.973417 eta: 19:45:32 batch_cost: 0.8423 data_cost: 0.3218 ips: 75.9809 images/s
[03/19 00:56:57] ppdet.engine INFO: Epoch: [117] [220/458] learning_rate: 0.214070 loss_vfl: 1.089780 loss_bbox: 0.497448 loss_dfl: 0.433099 loss: 2.040187 eta: 19:45:15 batch_cost: 0.8299 data_cost: 0.2842 ips: 77.1216 images/s
[03/19 00:57:17] ppdet.engine INFO: Epoch: [117] [240/458] learning_rate: 0.214001 loss_vfl: 1.093194 loss_bbox: 0.467381 loss_dfl: 0.443121 loss: 1.960013 eta: 19:44:59 batch_cost: 0.8869 data_cost: 0.2296 ips: 72.1645 images/s
[03/19 00:57:37] ppdet.engine INFO: Epoch: [117] [260/458] learning_rate: 0.213932 loss_vfl: 1.092087 loss_bbox: 0.489820 loss_dfl: 0.453769 loss: 2.042951 eta: 19:44:41 batch_cost: 0.8246 data_cost: 0.2083 ips: 77.6115 images/s
[03/19 00:57:55] ppdet.engine INFO: Epoch: [117] [280/458] learning_rate: 0.213863 loss_vfl: 1.071215 loss_bbox: 0.469451 loss_dfl: 0.441119 loss: 1.978924 eta: 19:44:22 batch_cost: 0.7794 data_cost: 0.2465 ips: 82.1175 images/s
[03/19 00:58:16] ppdet.engine INFO: Epoch: [117] [300/458] learning_rate: 0.213794 loss_vfl: 1.050935 loss_bbox: 0.482038 loss_dfl: 0.444981 loss: 1.994202 eta: 19:44:09 batch_cost: 0.9875 data_cost: 0.4735 ips: 64.8132 images/s
[03/19 00:58:33] ppdet.engine INFO: Epoch: [117] [320/458] learning_rate: 0.213725 loss_vfl: 1.015238 loss_bbox: 0.453958 loss_dfl: 0.418236 loss: 1.891195 eta: 19:43:48 batch_cost: 0.7157 data_cost: 0.1644 ips: 89.4223 images/s
[03/19 00:58:52] ppdet.engine INFO: Epoch: [117] [340/458] learning_rate: 0.213656 loss_vfl: 1.082953 loss_bbox: 0.486712 loss_dfl: 0.454376 loss: 2.003281 eta: 19:43:30 batch_cost: 0.8295 data_cost: 0.2460 ips: 77.1569 images/s
[03/19 00:59:12] ppdet.engine INFO: Epoch: [117] [360/458] learning_rate: 0.213587 loss_vfl: 1.138368 loss_bbox: 0.518109 loss_dfl: 0.469276 loss: 2.137671 eta: 19:43:13 batch_cost: 0.8430 data_cost: 0.3554 ips: 75.9223 images/s
[03/19 00:59:31] ppdet.engine INFO: Epoch: [117] [380/458] learning_rate: 0.213518 loss_vfl: 1.050431 loss_bbox: 0.478255 loss_dfl: 0.433235 loss: 1.950506 eta: 19:42:55 batch_cost: 0.8227 data_cost: 0.3338 ips: 77.7954 images/s
[03/19 00:59:46] ppdet.engine INFO: Epoch: [117] [400/458] learning_rate: 0.213449 loss_vfl: 1.114646 loss_bbox: 0.508780 loss_dfl: 0.457912 loss: 2.065978 eta: 19:42:32 batch_cost: 0.6553 data_cost: 0.1947 ips: 97.6590 images/s
[03/19 00:59:59] ppdet.engine INFO: Epoch: [117] [420/458] learning_rate: 0.213380 loss_vfl: 1.065017 loss_bbox: 0.471946 loss_dfl: 0.434527 loss: 1.965166 eta: 19:42:06 batch_cost: 0.5642 data_cost: 0.0958 ips: 113.4390 images/s
[03/19 01:00:19] ppdet.engine INFO: Epoch: [117] [440/458] learning_rate: 0.213311 loss_vfl: 1.049008 loss_bbox: 0.459943 loss_dfl: 0.420149 loss: 1.921261 eta: 19:41:48 batch_cost: 0.8261 data_cost: 0.2630 ips: 77.4764 images/s
[03/19 01:00:41] ppdet.engine INFO: Epoch: [118] [  0/458] learning_rate: 0.213248 loss_vfl: 1.077799 loss_bbox: 0.473268 loss_dfl: 0.435248 loss: 1.985073 eta: 19:41:39 batch_cost: 1.0366 data_cost: 0.5298 ips: 61.7391 images/s
[03/19 01:00:59] ppdet.engine INFO: Epoch: [118] [ 20/458] learning_rate: 0.213179 loss_vfl: 1.084204 loss_bbox: 0.493151 loss_dfl: 0.441533 loss: 2.048801 eta: 19:41:21 batch_cost: 0.7981 data_cost: 0.1314 ips: 80.1862 images/s
[03/19 01:01:19] ppdet.engine INFO: Epoch: [118] [ 40/458] learning_rate: 0.213110 loss_vfl: 1.051677 loss_bbox: 0.456400 loss_dfl: 0.435078 loss: 1.948716 eta: 19:41:06 batch_cost: 0.9093 data_cost: 0.3218 ips: 70.3814 images/s
[03/19 01:01:37] ppdet.engine INFO: Epoch: [118] [ 60/458] learning_rate: 0.213041 loss_vfl: 1.047221 loss_bbox: 0.470943 loss_dfl: 0.425278 loss: 1.889759 eta: 19:40:44 batch_cost: 0.7097 data_cost: 0.1318 ips: 90.1734 images/s
[03/19 01:01:56] ppdet.engine INFO: Epoch: [118] [ 80/458] learning_rate: 0.212972 loss_vfl: 1.046587 loss_bbox: 0.485004 loss_dfl: 0.439082 loss: 1.971706 eta: 19:40:27 batch_cost: 0.8393 data_cost: 0.2515 ips: 76.2564 images/s
[03/19 01:02:16] ppdet.engine INFO: Epoch: [118] [100/458] learning_rate: 0.212902 loss_vfl: 1.067287 loss_bbox: 0.477237 loss_dfl: 0.447186 loss: 2.030555 eta: 19:40:10 batch_cost: 0.8537 data_cost: 0.3034 ips: 74.9690 images/s
[03/19 01:02:35] ppdet.engine INFO: Epoch: [118] [120/458] learning_rate: 0.212833 loss_vfl: 1.076857 loss_bbox: 0.474771 loss_dfl: 0.441022 loss: 2.017255 eta: 19:39:51 batch_cost: 0.7712 data_cost: 0.3191 ips: 82.9872 images/s
[03/19 01:02:55] ppdet.engine INFO: Epoch: [118] [140/458] learning_rate: 0.212764 loss_vfl: 1.085970 loss_bbox: 0.476982 loss_dfl: 0.452224 loss: 2.009403 eta: 19:39:35 batch_cost: 0.8821 data_cost: 0.1230 ips: 72.5580 images/s
[03/19 01:03:15] ppdet.engine INFO: Epoch: [118] [160/458] learning_rate: 0.212695 loss_vfl: 1.063134 loss_bbox: 0.483212 loss_dfl: 0.437049 loss: 1.958565 eta: 19:39:15 batch_cost: 0.7778 data_cost: 0.0074 ips: 82.2806 images/s
[03/19 01:03:34] ppdet.engine INFO: Epoch: [118] [180/458] learning_rate: 0.212626 loss_vfl: 1.023686 loss_bbox: 0.475505 loss_dfl: 0.426451 loss: 1.926222 eta: 19:38:58 batch_cost: 0.8269 data_cost: 0.0043 ips: 77.3953 images/s
[03/19 01:03:52] ppdet.engine INFO: Epoch: [118] [200/458] learning_rate: 0.212556 loss_vfl: 1.078910 loss_bbox: 0.497543 loss_dfl: 0.446298 loss: 2.014853 eta: 19:38:39 batch_cost: 0.7961 data_cost: 0.0056 ips: 80.3945 images/s
[03/19 01:04:12] ppdet.engine INFO: Epoch: [118] [220/458] learning_rate: 0.212487 loss_vfl: 1.077240 loss_bbox: 0.472538 loss_dfl: 0.438855 loss: 1.980403 eta: 19:38:23 batch_cost: 0.8722 data_cost: 0.1480 ips: 73.3812 images/s
[03/19 01:04:33] ppdet.engine INFO: Epoch: [118] [240/458] learning_rate: 0.212418 loss_vfl: 1.082899 loss_bbox: 0.493735 loss_dfl: 0.436315 loss: 2.030396 eta: 19:38:07 batch_cost: 0.8978 data_cost: 0.2842 ips: 71.2838 images/s
[03/19 01:04:52] ppdet.engine INFO: Epoch: [118] [260/458] learning_rate: 0.212349 loss_vfl: 1.056374 loss_bbox: 0.499430 loss_dfl: 0.436933 loss: 1.998866 eta: 19:37:48 batch_cost: 0.7835 data_cost: 0.0034 ips: 81.6797 images/s
[03/19 01:05:09] ppdet.engine INFO: Epoch: [118] [280/458] learning_rate: 0.212279 loss_vfl: 1.054676 loss_bbox: 0.490354 loss_dfl: 0.447727 loss: 2.026095 eta: 19:37:29 batch_cost: 0.7766 data_cost: 0.0024 ips: 82.4081 images/s
[03/19 01:05:29] ppdet.engine INFO: Epoch: [118] [300/458] learning_rate: 0.212210 loss_vfl: 1.052618 loss_bbox: 0.478883 loss_dfl: 0.433746 loss: 1.973438 eta: 19:37:12 batch_cost: 0.8531 data_cost: 0.1308 ips: 75.0199 images/s
[03/19 01:05:48] ppdet.engine INFO: Epoch: [118] [320/458] learning_rate: 0.212141 loss_vfl: 1.068278 loss_bbox: 0.484968 loss_dfl: 0.434380 loss: 1.966588 eta: 19:36:54 batch_cost: 0.8362 data_cost: 0.1000 ips: 76.5377 images/s
[03/19 01:06:06] ppdet.engine INFO: Epoch: [118] [340/458] learning_rate: 0.212071 loss_vfl: 1.017693 loss_bbox: 0.441787 loss_dfl: 0.397086 loss: 1.828276 eta: 19:36:35 batch_cost: 0.7629 data_cost: 0.0050 ips: 83.8872 images/s
[03/19 01:06:24] ppdet.engine INFO: Epoch: [118] [360/458] learning_rate: 0.212002 loss_vfl: 1.007816 loss_bbox: 0.471723 loss_dfl: 0.420106 loss: 1.882187 eta: 19:36:15 batch_cost: 0.7784 data_cost: 0.0719 ips: 82.2153 images/s
[03/19 01:06:44] ppdet.engine INFO: Epoch: [118] [380/458] learning_rate: 0.211933 loss_vfl: 1.071007 loss_bbox: 0.475906 loss_dfl: 0.440866 loss: 1.983006 eta: 19:35:58 batch_cost: 0.8467 data_cost: 0.0028 ips: 75.5908 images/s
[03/19 01:06:59] ppdet.engine INFO: Epoch: [118] [400/458] learning_rate: 0.211863 loss_vfl: 1.020843 loss_bbox: 0.470272 loss_dfl: 0.423691 loss: 1.914206 eta: 19:35:36 batch_cost: 0.6663 data_cost: 0.0016 ips: 96.0528 images/s
[03/19 01:07:15] ppdet.engine INFO: Epoch: [118] [420/458] learning_rate: 0.211794 loss_vfl: 1.050513 loss_bbox: 0.468841 loss_dfl: 0.430974 loss: 1.956183 eta: 19:35:14 batch_cost: 0.7099 data_cost: 0.0336 ips: 90.1558 images/s
[03/19 01:07:33] ppdet.engine INFO: Epoch: [118] [440/458] learning_rate: 0.211724 loss_vfl: 1.023955 loss_bbox: 0.455412 loss_dfl: 0.415080 loss: 1.887794 eta: 19:34:55 batch_cost: 0.7819 data_cost: 0.0022 ips: 81.8560 images/s
[03/19 01:07:53] ppdet.engine INFO: Epoch: [119] [  0/458] learning_rate: 0.211662 loss_vfl: 1.081903 loss_bbox: 0.485716 loss_dfl: 0.446289 loss: 2.010612 eta: 19:34:43 batch_cost: 1.0356 data_cost: 0.2459 ips: 61.7970 images/s
[03/19 01:08:11] ppdet.engine INFO: Epoch: [119] [ 20/458] learning_rate: 0.211593 loss_vfl: 1.044250 loss_bbox: 0.460500 loss_dfl: 0.432138 loss: 1.965968 eta: 19:34:25 batch_cost: 0.8305 data_cost: 0.0721 ips: 77.0638 images/s
[03/19 01:08:30] ppdet.engine INFO: Epoch: [119] [ 40/458] learning_rate: 0.211523 loss_vfl: 1.102003 loss_bbox: 0.465525 loss_dfl: 0.443948 loss: 2.026157 eta: 19:34:08 batch_cost: 0.8383 data_cost: 0.0690 ips: 76.3465 images/s
[03/19 01:08:52] ppdet.engine INFO: Epoch: [119] [ 60/458] learning_rate: 0.211454 loss_vfl: 1.047016 loss_bbox: 0.475693 loss_dfl: 0.440360 loss: 1.966310 eta: 19:33:54 batch_cost: 0.9528 data_cost: 0.2522 ips: 67.1671 images/s
[03/19 01:09:10] ppdet.engine INFO: Epoch: [119] [ 80/458] learning_rate: 0.211384 loss_vfl: 1.039931 loss_bbox: 0.471979 loss_dfl: 0.432863 loss: 1.949708 eta: 19:33:34 batch_cost: 0.7709 data_cost: 0.0974 ips: 83.0193 images/s
[03/19 01:09:27] ppdet.engine INFO: Epoch: [119] [100/458] learning_rate: 0.211315 loss_vfl: 1.010786 loss_bbox: 0.449850 loss_dfl: 0.415893 loss: 1.866582 eta: 19:33:14 batch_cost: 0.7337 data_cost: 0.1320 ips: 87.2330 images/s
[03/19 01:09:48] ppdet.engine INFO: Epoch: [119] [120/458] learning_rate: 0.211245 loss_vfl: 1.112635 loss_bbox: 0.511264 loss_dfl: 0.460162 loss: 2.084783 eta: 19:32:59 batch_cost: 0.9341 data_cost: 0.0706 ips: 68.5121 images/s
[03/19 01:10:06] ppdet.engine INFO: Epoch: [119] [140/458] learning_rate: 0.211176 loss_vfl: 1.049526 loss_bbox: 0.478312 loss_dfl: 0.445770 loss: 1.971647 eta: 19:32:40 batch_cost: 0.7926 data_cost: 0.1730 ips: 80.7426 images/s
[03/19 01:10:26] ppdet.engine INFO: Epoch: [119] [160/458] learning_rate: 0.211106 loss_vfl: 1.093452 loss_bbox: 0.494991 loss_dfl: 0.445793 loss: 2.033339 eta: 19:32:25 batch_cost: 0.8930 data_cost: 0.1624 ips: 71.6688 images/s
[03/19 01:10:44] ppdet.engine INFO: Epoch: [119] [180/458] learning_rate: 0.211037 loss_vfl: 1.053624 loss_bbox: 0.462030 loss_dfl: 0.423570 loss: 1.961590 eta: 19:32:06 batch_cost: 0.7989 data_cost: 0.2459 ips: 80.1055 images/s
[03/19 01:11:02] ppdet.engine INFO: Epoch: [119] [200/458] learning_rate: 0.210967 loss_vfl: 1.072114 loss_bbox: 0.485163 loss_dfl: 0.445829 loss: 1.990626 eta: 19:31:48 batch_cost: 0.7952 data_cost: 0.2930 ips: 80.4874 images/s
[03/19 01:11:19] ppdet.engine INFO: Epoch: [119] [220/458] learning_rate: 0.210898 loss_vfl: 1.015727 loss_bbox: 0.461668 loss_dfl: 0.425103 loss: 1.912727 eta: 19:31:27 batch_cost: 0.7385 data_cost: 0.1531 ips: 86.6641 images/s
[03/19 01:11:40] ppdet.engine INFO: Epoch: [119] [240/458] learning_rate: 0.210828 loss_vfl: 1.091351 loss_bbox: 0.498396 loss_dfl: 0.452209 loss: 2.062013 eta: 19:31:13 batch_cost: 0.9511 data_cost: 0.4096 ips: 67.2940 images/s
[03/19 01:11:59] ppdet.engine INFO: Epoch: [119] [260/458] learning_rate: 0.210759 loss_vfl: 1.098388 loss_bbox: 0.487384 loss_dfl: 0.441660 loss: 2.053548 eta: 19:30:56 batch_cost: 0.8430 data_cost: 0.2887 ips: 75.9174 images/s
[03/19 01:12:19] ppdet.engine INFO: Epoch: [119] [280/458] learning_rate: 0.210689 loss_vfl: 1.050155 loss_bbox: 0.452538 loss_dfl: 0.426434 loss: 1.922870 eta: 19:30:39 batch_cost: 0.8428 data_cost: 0.0225 ips: 75.9357 images/s
[03/19 01:12:38] ppdet.engine INFO: Epoch: [119] [300/458] learning_rate: 0.210620 loss_vfl: 1.122793 loss_bbox: 0.491579 loss_dfl: 0.459870 loss: 2.081795 eta: 19:30:23 batch_cost: 0.8772 data_cost: 0.3334 ips: 72.9595 images/s
[03/19 01:12:56] ppdet.engine INFO: Epoch: [119] [320/458] learning_rate: 0.210550 loss_vfl: 1.060779 loss_bbox: 0.469490 loss_dfl: 0.433844 loss: 1.983737 eta: 19:30:02 batch_cost: 0.7399 data_cost: 0.2746 ips: 86.4999 images/s
[03/19 01:13:14] ppdet.engine INFO: Epoch: [119] [340/458] learning_rate: 0.210481 loss_vfl: 1.069571 loss_bbox: 0.484118 loss_dfl: 0.450362 loss: 2.026136 eta: 19:29:43 batch_cost: 0.7602 data_cost: 0.1020 ips: 84.1914 images/s
[03/19 01:13:35] ppdet.engine INFO: Epoch: [119] [360/458] learning_rate: 0.210411 loss_vfl: 1.042704 loss_bbox: 0.477207 loss_dfl: 0.426832 loss: 1.937946 eta: 19:29:27 batch_cost: 0.8827 data_cost: 0.3964 ips: 72.5039 images/s
[03/19 01:13:52] ppdet.engine INFO: Epoch: [119] [380/458] learning_rate: 0.210341 loss_vfl: 1.114934 loss_bbox: 0.523192 loss_dfl: 0.465632 loss: 2.108988 eta: 19:29:07 batch_cost: 0.7715 data_cost: 0.0970 ips: 82.9596 images/s
[03/19 01:14:10] ppdet.engine INFO: Epoch: [119] [400/458] learning_rate: 0.210272 loss_vfl: 1.113369 loss_bbox: 0.489600 loss_dfl: 0.450040 loss: 2.047688 eta: 19:28:48 batch_cost: 0.7929 data_cost: 0.2690 ips: 80.7174 images/s
[03/19 01:14:29] ppdet.engine INFO: Epoch: [119] [420/458] learning_rate: 0.210202 loss_vfl: 1.061692 loss_bbox: 0.445764 loss_dfl: 0.421986 loss: 1.922026 eta: 19:28:31 batch_cost: 0.8491 data_cost: 0.3119 ips: 75.3734 images/s
[03/19 01:14:41] ppdet.engine INFO: Epoch: [119] [440/458] learning_rate: 0.210133 loss_vfl: 1.036137 loss_bbox: 0.466123 loss_dfl: 0.421066 loss: 1.934259 eta: 19:28:04 batch_cost: 0.4939 data_cost: 0.0046 ips: 129.5862 images/s
[03/19 01:14:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 01:14:53] ppdet.engine INFO: Eval iter: 0
[03/19 01:15:09] ppdet.engine INFO: Eval iter: 100
[03/19 01:15:18] ppdet.engine INFO: Eval iter: 200
[03/19 01:15:26] ppdet.engine INFO: Eval iter: 300
[03/19 01:15:35] ppdet.engine INFO: Eval iter: 400
[03/19 01:15:44] ppdet.engine INFO: Eval iter: 500
[03/19 01:15:53] ppdet.engine INFO: Eval iter: 600
[03/19 01:16:07] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.59s)
creating index...
index created!
[03/19 01:16:07] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.38s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=78.68s).
Accumulating evaluation results...
DONE (t=16.29s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.205
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.315
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.214
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.057
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.196
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.368
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.222
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.356
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.377
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.104
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.408
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.640
[03/19 01:17:49] ppdet.engine INFO: Total sample number: 4952, averge FPS: 79.49894972416112
[03/19 01:17:49] ppdet.engine INFO: Best test bbox ap is 0.205.
[03/19 01:17:49] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 01:17:49] ppdet.engine INFO: Epoch: [120] [  0/458] learning_rate: 0.210070 loss_vfl: 1.069894 loss_bbox: 0.498756 loss_dfl: 0.433949 loss: 1.986467 eta: 19:27:39 batch_cost: 0.5020 data_cost: 0.0344 ips: 127.4800 images/s
[03/19 01:18:04] ppdet.engine INFO: Epoch: [120] [ 20/458] learning_rate: 0.210000 loss_vfl: 1.117048 loss_bbox: 0.488682 loss_dfl: 0.447786 loss: 2.064334 eta: 19:27:15 batch_cost: 0.6147 data_cost: 0.0926 ips: 104.1182 images/s
[03/19 01:18:23] ppdet.engine INFO: Epoch: [120] [ 40/458] learning_rate: 0.209931 loss_vfl: 1.073057 loss_bbox: 0.502413 loss_dfl: 0.452712 loss: 2.040719 eta: 19:26:59 batch_cost: 0.8702 data_cost: 0.2581 ips: 73.5463 images/s
[03/19 01:18:43] ppdet.engine INFO: Epoch: [120] [ 60/458] learning_rate: 0.209861 loss_vfl: 1.094635 loss_bbox: 0.480301 loss_dfl: 0.457428 loss: 1.990089 eta: 19:26:43 batch_cost: 0.8733 data_cost: 0.0745 ips: 73.2870 images/s
[03/19 01:19:06] ppdet.engine INFO: Epoch: [120] [ 80/458] learning_rate: 0.209791 loss_vfl: 1.059505 loss_bbox: 0.471996 loss_dfl: 0.435888 loss: 1.987200 eta: 19:26:29 batch_cost: 0.9695 data_cost: 0.0015 ips: 66.0106 images/s
[03/19 01:19:24] ppdet.engine INFO: Epoch: [120] [100/458] learning_rate: 0.209722 loss_vfl: 1.067248 loss_bbox: 0.481684 loss_dfl: 0.440016 loss: 1.948457 eta: 19:26:12 batch_cost: 0.8394 data_cost: 0.0040 ips: 76.2464 images/s
[03/19 01:19:44] ppdet.engine INFO: Epoch: [120] [120/458] learning_rate: 0.209652 loss_vfl: 1.066013 loss_bbox: 0.486870 loss_dfl: 0.434311 loss: 1.983135 eta: 19:25:56 batch_cost: 0.8901 data_cost: 0.0861 ips: 71.9029 images/s
[03/19 01:20:02] ppdet.engine INFO: Epoch: [120] [140/458] learning_rate: 0.209582 loss_vfl: 1.059278 loss_bbox: 0.453462 loss_dfl: 0.424722 loss: 1.912639 eta: 19:25:36 batch_cost: 0.7486 data_cost: 0.1134 ips: 85.4901 images/s
[03/19 01:20:22] ppdet.engine INFO: Epoch: [120] [160/458] learning_rate: 0.209512 loss_vfl: 1.030148 loss_bbox: 0.460156 loss_dfl: 0.425422 loss: 1.925811 eta: 19:25:20 batch_cost: 0.8850 data_cost: 0.0526 ips: 72.3162 images/s
[03/19 01:20:42] ppdet.engine INFO: Epoch: [120] [180/458] learning_rate: 0.209443 loss_vfl: 1.021805 loss_bbox: 0.488432 loss_dfl: 0.438707 loss: 1.952495 eta: 19:25:04 batch_cost: 0.8679 data_cost: 0.1731 ips: 73.7372 images/s
[03/19 01:21:02] ppdet.engine INFO: Epoch: [120] [200/458] learning_rate: 0.209373 loss_vfl: 1.086690 loss_bbox: 0.493416 loss_dfl: 0.447476 loss: 2.040596 eta: 19:24:47 batch_cost: 0.8535 data_cost: 0.3107 ips: 74.9893 images/s
[03/19 01:21:21] ppdet.engine INFO: Epoch: [120] [220/458] learning_rate: 0.209303 loss_vfl: 1.088937 loss_bbox: 0.488950 loss_dfl: 0.446496 loss: 2.022432 eta: 19:24:29 batch_cost: 0.8269 data_cost: 0.2602 ips: 77.4002 images/s
[03/19 01:21:34] ppdet.engine INFO: Epoch: [120] [240/458] learning_rate: 0.209233 loss_vfl: 1.096409 loss_bbox: 0.500664 loss_dfl: 0.450602 loss: 2.019259 eta: 19:24:03 batch_cost: 0.5602 data_cost: 0.1327 ips: 114.2457 images/s
[03/19 01:21:48] ppdet.engine INFO: Epoch: [120] [260/458] learning_rate: 0.209164 loss_vfl: 1.074993 loss_bbox: 0.482141 loss_dfl: 0.450281 loss: 2.006518 eta: 19:23:41 batch_cost: 0.6516 data_cost: 0.1969 ips: 98.2222 images/s
[03/19 01:22:07] ppdet.engine INFO: Epoch: [120] [280/458] learning_rate: 0.209094 loss_vfl: 1.056379 loss_bbox: 0.487968 loss_dfl: 0.432079 loss: 1.970599 eta: 19:23:22 batch_cost: 0.7888 data_cost: 0.0086 ips: 81.1379 images/s
[03/19 01:22:26] ppdet.engine INFO: Epoch: [120] [300/458] learning_rate: 0.209024 loss_vfl: 1.098453 loss_bbox: 0.471485 loss_dfl: 0.435981 loss: 2.002301 eta: 19:23:06 batch_cost: 0.9010 data_cost: 0.2714 ips: 71.0341 images/s
[03/19 01:22:44] ppdet.engine INFO: Epoch: [120] [320/458] learning_rate: 0.208954 loss_vfl: 1.086744 loss_bbox: 0.477849 loss_dfl: 0.441162 loss: 1.990186 eta: 19:22:47 batch_cost: 0.7721 data_cost: 0.2378 ips: 82.8940 images/s
[03/19 01:23:06] ppdet.engine INFO: Epoch: [120] [340/458] learning_rate: 0.208884 loss_vfl: 1.039950 loss_bbox: 0.474007 loss_dfl: 0.435032 loss: 1.931364 eta: 19:22:34 batch_cost: 0.9872 data_cost: 0.3370 ips: 64.8327 images/s
[03/19 01:23:23] ppdet.engine INFO: Epoch: [120] [360/458] learning_rate: 0.208815 loss_vfl: 1.073315 loss_bbox: 0.489730 loss_dfl: 0.451566 loss: 2.025057 eta: 19:22:15 batch_cost: 0.7661 data_cost: 0.1569 ips: 83.5429 images/s
[03/19 01:23:39] ppdet.engine INFO: Epoch: [120] [380/458] learning_rate: 0.208745 loss_vfl: 1.064699 loss_bbox: 0.503045 loss_dfl: 0.449337 loss: 2.012415 eta: 19:21:52 batch_cost: 0.6431 data_cost: 0.0737 ips: 99.5117 images/s
[03/19 01:23:59] ppdet.engine INFO: Epoch: [120] [400/458] learning_rate: 0.208675 loss_vfl: 1.056304 loss_bbox: 0.473605 loss_dfl: 0.440924 loss: 1.984230 eta: 19:21:35 batch_cost: 0.8743 data_cost: 0.3207 ips: 73.2024 images/s
[03/19 01:24:20] ppdet.engine INFO: Epoch: [120] [420/458] learning_rate: 0.208605 loss_vfl: 1.092017 loss_bbox: 0.494860 loss_dfl: 0.445022 loss: 2.045085 eta: 19:21:21 batch_cost: 0.9575 data_cost: 0.1274 ips: 66.8418 images/s
[03/19 01:24:38] ppdet.engine INFO: Epoch: [120] [440/458] learning_rate: 0.208535 loss_vfl: 1.086066 loss_bbox: 0.457403 loss_dfl: 0.435175 loss: 1.998009 eta: 19:21:04 batch_cost: 0.8163 data_cost: 0.0040 ips: 78.4013 images/s
[03/19 01:24:59] ppdet.engine INFO: Epoch: [121] [  0/458] learning_rate: 0.208472 loss_vfl: 1.110346 loss_bbox: 0.505595 loss_dfl: 0.460321 loss: 2.052035 eta: 19:20:53 batch_cost: 0.9848 data_cost: 0.3459 ips: 64.9868 images/s
[03/19 01:25:19] ppdet.engine INFO: Epoch: [121] [ 20/458] learning_rate: 0.208402 loss_vfl: 1.133797 loss_bbox: 0.492436 loss_dfl: 0.460073 loss: 2.098573 eta: 19:20:34 batch_cost: 0.8065 data_cost: 0.1782 ips: 79.3592 images/s
[03/19 01:25:37] ppdet.engine INFO: Epoch: [121] [ 40/458] learning_rate: 0.208333 loss_vfl: 1.051151 loss_bbox: 0.482015 loss_dfl: 0.446114 loss: 1.973959 eta: 19:20:14 batch_cost: 0.7255 data_cost: 0.1781 ips: 88.2142 images/s
[03/19 01:25:56] ppdet.engine INFO: Epoch: [121] [ 60/458] learning_rate: 0.208263 loss_vfl: 1.059130 loss_bbox: 0.494552 loss_dfl: 0.447809 loss: 2.009886 eta: 19:19:57 batch_cost: 0.8541 data_cost: 0.3778 ips: 74.9286 images/s
[03/19 01:26:17] ppdet.engine INFO: Epoch: [121] [ 80/458] learning_rate: 0.208193 loss_vfl: 1.072047 loss_bbox: 0.465188 loss_dfl: 0.439035 loss: 1.967346 eta: 19:19:41 batch_cost: 0.9013 data_cost: 0.1484 ips: 71.0118 images/s
[03/19 01:26:38] ppdet.engine INFO: Epoch: [121] [100/458] learning_rate: 0.208123 loss_vfl: 1.073276 loss_bbox: 0.482434 loss_dfl: 0.434248 loss: 1.997026 eta: 19:19:25 batch_cost: 0.8851 data_cost: 0.2631 ips: 72.3095 images/s
[03/19 01:26:54] ppdet.engine INFO: Epoch: [121] [120/458] learning_rate: 0.208053 loss_vfl: 1.065492 loss_bbox: 0.500799 loss_dfl: 0.453414 loss: 2.014740 eta: 19:19:04 batch_cost: 0.7111 data_cost: 0.2271 ips: 89.9960 images/s
[03/19 01:27:15] ppdet.engine INFO: Epoch: [121] [140/458] learning_rate: 0.207983 loss_vfl: 1.059754 loss_bbox: 0.486935 loss_dfl: 0.441694 loss: 1.994172 eta: 19:18:50 batch_cost: 0.9390 data_cost: 0.4185 ips: 68.1550 images/s
[03/19 01:27:36] ppdet.engine INFO: Epoch: [121] [160/458] learning_rate: 0.207913 loss_vfl: 1.094719 loss_bbox: 0.502099 loss_dfl: 0.452935 loss: 2.033466 eta: 19:18:36 batch_cost: 0.9536 data_cost: 0.4352 ips: 67.1130 images/s
[03/19 01:27:57] ppdet.engine INFO: Epoch: [121] [180/458] learning_rate: 0.207843 loss_vfl: 1.054623 loss_bbox: 0.469360 loss_dfl: 0.436241 loss: 1.961209 eta: 19:18:20 batch_cost: 0.8824 data_cost: 0.3886 ips: 72.5326 images/s
[03/19 01:28:17] ppdet.engine INFO: Epoch: [121] [200/458] learning_rate: 0.207773 loss_vfl: 1.080054 loss_bbox: 0.489849 loss_dfl: 0.452238 loss: 2.000124 eta: 19:18:03 batch_cost: 0.8676 data_cost: 0.3367 ips: 73.7678 images/s
[03/19 01:28:34] ppdet.engine INFO: Epoch: [121] [220/458] learning_rate: 0.207703 loss_vfl: 1.069190 loss_bbox: 0.495764 loss_dfl: 0.449534 loss: 2.057976 eta: 19:17:43 batch_cost: 0.7243 data_cost: 0.2505 ips: 88.3642 images/s
[03/19 01:28:52] ppdet.engine INFO: Epoch: [121] [240/458] learning_rate: 0.207633 loss_vfl: 1.041900 loss_bbox: 0.477279 loss_dfl: 0.431012 loss: 1.945940 eta: 19:17:23 batch_cost: 0.7594 data_cost: 0.1889 ips: 84.2819 images/s
[03/19 01:29:07] ppdet.engine INFO: Epoch: [121] [260/458] learning_rate: 0.207563 loss_vfl: 1.101508 loss_bbox: 0.500204 loss_dfl: 0.456931 loss: 2.074359 eta: 19:17:00 batch_cost: 0.6496 data_cost: 0.1796 ips: 98.5222 images/s
[03/19 01:29:22] ppdet.engine INFO: Epoch: [121] [280/458] learning_rate: 0.207493 loss_vfl: 1.128217 loss_bbox: 0.503738 loss_dfl: 0.462612 loss: 2.086273 eta: 19:16:38 batch_cost: 0.6604 data_cost: 0.1016 ips: 96.9158 images/s
[03/19 01:29:39] ppdet.engine INFO: Epoch: [121] [300/458] learning_rate: 0.207423 loss_vfl: 1.060792 loss_bbox: 0.476066 loss_dfl: 0.435025 loss: 1.981582 eta: 19:16:19 batch_cost: 0.7723 data_cost: 0.0336 ips: 82.8679 images/s
[03/19 01:30:00] ppdet.engine INFO: Epoch: [121] [320/458] learning_rate: 0.207353 loss_vfl: 1.074272 loss_bbox: 0.456085 loss_dfl: 0.428528 loss: 1.959063 eta: 19:16:03 batch_cost: 0.9064 data_cost: 0.3522 ips: 70.6052 images/s
[03/19 01:30:20] ppdet.engine INFO: Epoch: [121] [340/458] learning_rate: 0.207283 loss_vfl: 1.079406 loss_bbox: 0.479810 loss_dfl: 0.445152 loss: 1.986797 eta: 19:15:49 batch_cost: 0.9325 data_cost: 0.4519 ips: 68.6348 images/s
[03/19 01:30:39] ppdet.engine INFO: Epoch: [121] [360/458] learning_rate: 0.207213 loss_vfl: 1.064134 loss_bbox: 0.495950 loss_dfl: 0.436989 loss: 1.979114 eta: 19:15:30 batch_cost: 0.8063 data_cost: 0.2534 ips: 79.3713 images/s
[03/19 01:31:00] ppdet.engine INFO: Epoch: [121] [380/458] learning_rate: 0.207143 loss_vfl: 1.027202 loss_bbox: 0.469761 loss_dfl: 0.428340 loss: 1.933197 eta: 19:15:15 batch_cost: 0.8888 data_cost: 0.3668 ips: 72.0039 images/s
[03/19 01:31:18] ppdet.engine INFO: Epoch: [121] [400/458] learning_rate: 0.207073 loss_vfl: 1.045671 loss_bbox: 0.495389 loss_dfl: 0.440522 loss: 1.982373 eta: 19:14:54 batch_cost: 0.7342 data_cost: 0.2035 ips: 87.1740 images/s
[03/19 01:31:36] ppdet.engine INFO: Epoch: [121] [420/458] learning_rate: 0.207003 loss_vfl: 1.106238 loss_bbox: 0.495624 loss_dfl: 0.439235 loss: 2.012760 eta: 19:14:36 batch_cost: 0.7939 data_cost: 0.3093 ips: 80.6127 images/s
[03/19 01:31:57] ppdet.engine INFO: Epoch: [121] [440/458] learning_rate: 0.206933 loss_vfl: 1.109039 loss_bbox: 0.518584 loss_dfl: 0.454509 loss: 2.081922 eta: 19:14:21 batch_cost: 0.9480 data_cost: 0.4761 ips: 67.5095 images/s
[03/19 01:32:19] ppdet.engine INFO: Epoch: [122] [  0/458] learning_rate: 0.206869 loss_vfl: 1.127440 loss_bbox: 0.517143 loss_dfl: 0.460117 loss: 2.109232 eta: 19:14:11 batch_cost: 1.0289 data_cost: 0.5193 ips: 62.2033 images/s
[03/19 01:32:35] ppdet.engine INFO: Epoch: [122] [ 20/458] learning_rate: 0.206799 loss_vfl: 1.032607 loss_bbox: 0.481372 loss_dfl: 0.424099 loss: 1.931401 eta: 19:13:49 batch_cost: 0.6757 data_cost: 0.0753 ips: 94.7104 images/s
[03/19 01:32:56] ppdet.engine INFO: Epoch: [122] [ 40/458] learning_rate: 0.206729 loss_vfl: 1.040881 loss_bbox: 0.470379 loss_dfl: 0.439802 loss: 1.948073 eta: 19:13:34 batch_cost: 0.9004 data_cost: 0.3633 ips: 71.0828 images/s
[03/19 01:33:17] ppdet.engine INFO: Epoch: [122] [ 60/458] learning_rate: 0.206659 loss_vfl: 1.058015 loss_bbox: 0.470070 loss_dfl: 0.437715 loss: 1.962601 eta: 19:13:18 batch_cost: 0.9060 data_cost: 0.3827 ips: 70.6385 images/s
[03/19 01:33:37] ppdet.engine INFO: Epoch: [122] [ 80/458] learning_rate: 0.206589 loss_vfl: 1.047071 loss_bbox: 0.463154 loss_dfl: 0.438933 loss: 1.925210 eta: 19:13:01 batch_cost: 0.8536 data_cost: 0.3334 ips: 74.9807 images/s
[03/19 01:33:55] ppdet.engine INFO: Epoch: [122] [100/458] learning_rate: 0.206519 loss_vfl: 1.046372 loss_bbox: 0.475633 loss_dfl: 0.425870 loss: 1.931576 eta: 19:12:43 batch_cost: 0.8078 data_cost: 0.2053 ips: 79.2302 images/s
[03/19 01:34:16] ppdet.engine INFO: Epoch: [122] [120/458] learning_rate: 0.206449 loss_vfl: 1.061932 loss_bbox: 0.469835 loss_dfl: 0.439547 loss: 1.975510 eta: 19:12:27 batch_cost: 0.8708 data_cost: 0.2943 ips: 73.4928 images/s
[03/19 01:34:33] ppdet.engine INFO: Epoch: [122] [140/458] learning_rate: 0.206378 loss_vfl: 1.021497 loss_bbox: 0.475229 loss_dfl: 0.430022 loss: 1.915700 eta: 19:12:06 batch_cost: 0.7070 data_cost: 0.0865 ips: 90.5247 images/s
[03/19 01:34:53] ppdet.engine INFO: Epoch: [122] [160/458] learning_rate: 0.206308 loss_vfl: 1.074213 loss_bbox: 0.501638 loss_dfl: 0.445134 loss: 2.013350 eta: 19:11:51 batch_cost: 0.9136 data_cost: 0.4728 ips: 70.0488 images/s
[03/19 01:35:12] ppdet.engine INFO: Epoch: [122] [180/458] learning_rate: 0.206238 loss_vfl: 1.037959 loss_bbox: 0.476715 loss_dfl: 0.433193 loss: 1.967000 eta: 19:11:32 batch_cost: 0.7937 data_cost: 0.1979 ips: 80.6376 images/s
[03/19 01:35:32] ppdet.engine INFO: Epoch: [122] [200/458] learning_rate: 0.206168 loss_vfl: 1.097116 loss_bbox: 0.499793 loss_dfl: 0.452561 loss: 2.050215 eta: 19:11:18 batch_cost: 0.9558 data_cost: 0.4482 ips: 66.9614 images/s
[03/19 01:35:52] ppdet.engine INFO: Epoch: [122] [220/458] learning_rate: 0.206098 loss_vfl: 1.071366 loss_bbox: 0.481914 loss_dfl: 0.449630 loss: 1.982821 eta: 19:11:03 batch_cost: 0.9047 data_cost: 0.3005 ips: 70.7401 images/s
[03/19 01:36:08] ppdet.engine INFO: Epoch: [122] [240/458] learning_rate: 0.206027 loss_vfl: 1.045932 loss_bbox: 0.472756 loss_dfl: 0.434265 loss: 1.940722 eta: 19:10:42 batch_cost: 0.7043 data_cost: 0.2227 ips: 90.8756 images/s
[03/19 01:36:24] ppdet.engine INFO: Epoch: [122] [260/458] learning_rate: 0.205957 loss_vfl: 1.087750 loss_bbox: 0.489585 loss_dfl: 0.452275 loss: 2.020499 eta: 19:10:19 batch_cost: 0.6527 data_cost: 0.2226 ips: 98.0561 images/s
[03/19 01:36:39] ppdet.engine INFO: Epoch: [122] [280/458] learning_rate: 0.205887 loss_vfl: 1.103307 loss_bbox: 0.506629 loss_dfl: 0.467746 loss: 2.095886 eta: 19:09:57 batch_cost: 0.6932 data_cost: 0.2176 ips: 92.3220 images/s
[03/19 01:36:56] ppdet.engine INFO: Epoch: [122] [300/458] learning_rate: 0.205817 loss_vfl: 1.079267 loss_bbox: 0.489692 loss_dfl: 0.441443 loss: 2.026743 eta: 19:09:37 batch_cost: 0.7178 data_cost: 0.2697 ips: 89.1595 images/s
[03/19 01:37:16] ppdet.engine INFO: Epoch: [122] [320/458] learning_rate: 0.205746 loss_vfl: 1.073319 loss_bbox: 0.489339 loss_dfl: 0.449173 loss: 2.031269 eta: 19:09:21 batch_cost: 0.9013 data_cost: 0.3276 ips: 71.0117 images/s
[03/19 01:37:33] ppdet.engine INFO: Epoch: [122] [340/458] learning_rate: 0.205676 loss_vfl: 1.101573 loss_bbox: 0.492702 loss_dfl: 0.448802 loss: 2.045630 eta: 19:09:01 batch_cost: 0.7580 data_cost: 0.1925 ips: 84.4314 images/s
[03/19 01:37:51] ppdet.engine INFO: Epoch: [122] [360/458] learning_rate: 0.205606 loss_vfl: 1.056193 loss_bbox: 0.466622 loss_dfl: 0.430743 loss: 1.974314 eta: 19:08:42 batch_cost: 0.7756 data_cost: 0.1530 ips: 82.5194 images/s
[03/19 01:38:13] ppdet.engine INFO: Epoch: [122] [380/458] learning_rate: 0.205536 loss_vfl: 1.094445 loss_bbox: 0.482666 loss_dfl: 0.449684 loss: 2.016184 eta: 19:08:29 batch_cost: 0.9920 data_cost: 0.4327 ips: 64.5151 images/s
[03/19 01:38:32] ppdet.engine INFO: Epoch: [122] [400/458] learning_rate: 0.205465 loss_vfl: 1.038815 loss_bbox: 0.472583 loss_dfl: 0.426770 loss: 1.961090 eta: 19:08:12 batch_cost: 0.8306 data_cost: 0.1563 ips: 77.0556 images/s
[03/19 01:38:51] ppdet.engine INFO: Epoch: [122] [420/458] learning_rate: 0.205395 loss_vfl: 1.051620 loss_bbox: 0.467464 loss_dfl: 0.426368 loss: 1.967795 eta: 19:07:56 batch_cost: 0.8761 data_cost: 0.1235 ips: 73.0493 images/s
[03/19 01:39:10] ppdet.engine INFO: Epoch: [122] [440/458] learning_rate: 0.205325 loss_vfl: 1.040006 loss_bbox: 0.471973 loss_dfl: 0.427689 loss: 1.947421 eta: 19:07:38 batch_cost: 0.8142 data_cost: 0.1939 ips: 78.6033 images/s
[03/19 01:39:32] ppdet.engine INFO: Epoch: [123] [  0/458] learning_rate: 0.205261 loss_vfl: 1.058411 loss_bbox: 0.487859 loss_dfl: 0.441775 loss: 1.996117 eta: 19:07:29 batch_cost: 1.0449 data_cost: 0.4455 ips: 61.2503 images/s
[03/19 01:39:50] ppdet.engine INFO: Epoch: [123] [ 20/458] learning_rate: 0.205191 loss_vfl: 1.098912 loss_bbox: 0.487900 loss_dfl: 0.447436 loss: 2.038461 eta: 19:07:09 batch_cost: 0.7373 data_cost: 0.0550 ips: 86.8020 images/s
[03/19 01:40:07] ppdet.engine INFO: Epoch: [123] [ 40/458] learning_rate: 0.205121 loss_vfl: 1.121744 loss_bbox: 0.521722 loss_dfl: 0.467781 loss: 2.111454 eta: 19:06:49 batch_cost: 0.7566 data_cost: 0.1826 ips: 84.5876 images/s
[03/19 01:40:29] ppdet.engine INFO: Epoch: [123] [ 60/458] learning_rate: 0.205050 loss_vfl: 1.083189 loss_bbox: 0.482756 loss_dfl: 0.451021 loss: 2.017262 eta: 19:06:34 batch_cost: 0.9307 data_cost: 0.1558 ips: 68.7667 images/s
[03/19 01:40:48] ppdet.engine INFO: Epoch: [123] [ 80/458] learning_rate: 0.204980 loss_vfl: 1.068205 loss_bbox: 0.470672 loss_dfl: 0.433844 loss: 1.974266 eta: 19:06:18 batch_cost: 0.8854 data_cost: 0.3186 ips: 72.2861 images/s
[03/19 01:41:06] ppdet.engine INFO: Epoch: [123] [100/458] learning_rate: 0.204910 loss_vfl: 1.055358 loss_bbox: 0.471900 loss_dfl: 0.436555 loss: 1.996593 eta: 19:05:57 batch_cost: 0.7009 data_cost: 0.1077 ips: 91.3086 images/s
[03/19 01:41:27] ppdet.engine INFO: Epoch: [123] [120/458] learning_rate: 0.204839 loss_vfl: 1.114649 loss_bbox: 0.502047 loss_dfl: 0.453113 loss: 2.087057 eta: 19:05:41 batch_cost: 0.8881 data_cost: 0.2734 ips: 72.0606 images/s
[03/19 01:41:50] ppdet.engine INFO: Epoch: [123] [140/458] learning_rate: 0.204769 loss_vfl: 1.066135 loss_bbox: 0.481948 loss_dfl: 0.442039 loss: 1.988521 eta: 19:05:30 batch_cost: 1.0432 data_cost: 0.4558 ips: 61.3498 images/s
[03/19 01:42:08] ppdet.engine INFO: Epoch: [123] [160/458] learning_rate: 0.204698 loss_vfl: 1.068915 loss_bbox: 0.482894 loss_dfl: 0.446314 loss: 1.997935 eta: 19:05:11 batch_cost: 0.7990 data_cost: 0.2215 ips: 80.1013 images/s
[03/19 01:42:27] ppdet.engine INFO: Epoch: [123] [180/458] learning_rate: 0.204628 loss_vfl: 1.047690 loss_bbox: 0.472879 loss_dfl: 0.435187 loss: 1.966699 eta: 19:04:55 batch_cost: 0.8678 data_cost: 0.3181 ips: 73.7469 images/s
[03/19 01:42:46] ppdet.engine INFO: Epoch: [123] [200/458] learning_rate: 0.204558 loss_vfl: 1.056471 loss_bbox: 0.490204 loss_dfl: 0.439974 loss: 1.974548 eta: 19:04:36 batch_cost: 0.7920 data_cost: 0.2722 ips: 80.8069 images/s
[03/19 01:43:07] ppdet.engine INFO: Epoch: [123] [220/458] learning_rate: 0.204487 loss_vfl: 1.076676 loss_bbox: 0.499799 loss_dfl: 0.450760 loss: 2.023350 eta: 19:04:22 batch_cost: 0.9535 data_cost: 0.2130 ips: 67.1235 images/s
[03/19 01:43:25] ppdet.engine INFO: Epoch: [123] [240/458] learning_rate: 0.204417 loss_vfl: 1.070704 loss_bbox: 0.490130 loss_dfl: 0.444593 loss: 2.011870 eta: 19:04:02 batch_cost: 0.7514 data_cost: 0.1890 ips: 85.1695 images/s
[03/19 01:43:43] ppdet.engine INFO: Epoch: [123] [260/458] learning_rate: 0.204346 loss_vfl: 1.098453 loss_bbox: 0.491828 loss_dfl: 0.464016 loss: 2.029822 eta: 19:03:45 batch_cost: 0.8217 data_cost: 0.3349 ips: 77.8886 images/s
[03/19 01:43:56] ppdet.engine INFO: Epoch: [123] [280/458] learning_rate: 0.204276 loss_vfl: 1.031377 loss_bbox: 0.466467 loss_dfl: 0.435061 loss: 1.934570 eta: 19:03:20 batch_cost: 0.5644 data_cost: 0.0212 ips: 113.3905 images/s
[03/19 01:44:13] ppdet.engine INFO: Epoch: [123] [300/458] learning_rate: 0.204205 loss_vfl: 1.080847 loss_bbox: 0.483233 loss_dfl: 0.446934 loss: 2.022577 eta: 19:03:00 batch_cost: 0.7481 data_cost: 0.1878 ips: 85.5522 images/s
[03/19 01:44:31] ppdet.engine INFO: Epoch: [123] [320/458] learning_rate: 0.204135 loss_vfl: 1.050696 loss_bbox: 0.499339 loss_dfl: 0.445970 loss: 2.002260 eta: 19:02:39 batch_cost: 0.7293 data_cost: 0.0770 ips: 87.7581 images/s
[03/19 01:44:50] ppdet.engine INFO: Epoch: [123] [340/458] learning_rate: 0.204064 loss_vfl: 1.079478 loss_bbox: 0.501730 loss_dfl: 0.460320 loss: 2.041581 eta: 19:02:22 batch_cost: 0.8267 data_cost: 0.2349 ips: 77.4145 images/s
[03/19 01:45:08] ppdet.engine INFO: Epoch: [123] [360/458] learning_rate: 0.203994 loss_vfl: 1.044191 loss_bbox: 0.462886 loss_dfl: 0.434785 loss: 1.960090 eta: 19:02:04 batch_cost: 0.8155 data_cost: 0.1123 ips: 78.4831 images/s
[03/19 01:45:29] ppdet.engine INFO: Epoch: [123] [380/458] learning_rate: 0.203923 loss_vfl: 1.043973 loss_bbox: 0.448511 loss_dfl: 0.424146 loss: 1.969558 eta: 19:01:49 batch_cost: 0.9130 data_cost: 0.1158 ips: 70.0970 images/s
[03/19 01:45:48] ppdet.engine INFO: Epoch: [123] [400/458] learning_rate: 0.203853 loss_vfl: 1.066056 loss_bbox: 0.483872 loss_dfl: 0.452327 loss: 2.021092 eta: 19:01:30 batch_cost: 0.7973 data_cost: 0.1267 ips: 80.2675 images/s
[03/19 01:46:08] ppdet.engine INFO: Epoch: [123] [420/458] learning_rate: 0.203782 loss_vfl: 1.049556 loss_bbox: 0.456483 loss_dfl: 0.420875 loss: 1.930723 eta: 19:01:13 batch_cost: 0.8461 data_cost: 0.0415 ips: 75.6385 images/s
[03/19 01:46:29] ppdet.engine INFO: Epoch: [123] [440/458] learning_rate: 0.203712 loss_vfl: 1.105810 loss_bbox: 0.495439 loss_dfl: 0.465984 loss: 2.068448 eta: 19:00:58 batch_cost: 0.9060 data_cost: 0.0061 ips: 70.6417 images/s
[03/19 01:46:50] ppdet.engine INFO: Epoch: [124] [  0/458] learning_rate: 0.203648 loss_vfl: 1.088073 loss_bbox: 0.479023 loss_dfl: 0.443872 loss: 1.994720 eta: 19:00:47 batch_cost: 1.0596 data_cost: 0.3847 ips: 60.3997 images/s
[03/19 01:47:09] ppdet.engine INFO: Epoch: [124] [ 20/458] learning_rate: 0.203578 loss_vfl: 1.096186 loss_bbox: 0.501538 loss_dfl: 0.453784 loss: 2.081495 eta: 19:00:30 batch_cost: 0.8436 data_cost: 0.1284 ips: 75.8617 images/s
[03/19 01:47:26] ppdet.engine INFO: Epoch: [124] [ 40/458] learning_rate: 0.203507 loss_vfl: 0.997169 loss_bbox: 0.443473 loss_dfl: 0.416786 loss: 1.881716 eta: 19:00:11 batch_cost: 0.7846 data_cost: 0.0842 ips: 81.5652 images/s
[03/19 01:47:45] ppdet.engine INFO: Epoch: [124] [ 60/458] learning_rate: 0.203437 loss_vfl: 1.031893 loss_bbox: 0.482641 loss_dfl: 0.436390 loss: 1.947490 eta: 18:59:53 batch_cost: 0.8148 data_cost: 0.0552 ips: 78.5503 images/s
[03/19 01:48:04] ppdet.engine INFO: Epoch: [124] [ 80/458] learning_rate: 0.203366 loss_vfl: 1.094141 loss_bbox: 0.499349 loss_dfl: 0.452166 loss: 2.038021 eta: 18:59:36 batch_cost: 0.8565 data_cost: 0.0011 ips: 74.7197 images/s
[03/19 01:48:23] ppdet.engine INFO: Epoch: [124] [100/458] learning_rate: 0.203295 loss_vfl: 1.025510 loss_bbox: 0.449920 loss_dfl: 0.414283 loss: 1.890718 eta: 18:59:19 batch_cost: 0.8518 data_cost: 0.0011 ips: 75.1325 images/s
[03/19 01:48:42] ppdet.engine INFO: Epoch: [124] [120/458] learning_rate: 0.203225 loss_vfl: 1.095261 loss_bbox: 0.510170 loss_dfl: 0.464396 loss: 2.077097 eta: 18:59:02 batch_cost: 0.8310 data_cost: 0.0024 ips: 77.0125 images/s
[03/19 01:49:00] ppdet.engine INFO: Epoch: [124] [140/458] learning_rate: 0.203154 loss_vfl: 0.995743 loss_bbox: 0.434287 loss_dfl: 0.419031 loss: 1.852220 eta: 18:58:43 batch_cost: 0.7874 data_cost: 0.0283 ips: 81.2836 images/s
[03/19 01:49:20] ppdet.engine INFO: Epoch: [124] [160/458] learning_rate: 0.203084 loss_vfl: 1.097484 loss_bbox: 0.492235 loss_dfl: 0.444482 loss: 2.024601 eta: 18:58:27 batch_cost: 0.8722 data_cost: 0.0805 ips: 73.3818 images/s
[03/19 01:49:39] ppdet.engine INFO: Epoch: [124] [180/458] learning_rate: 0.203013 loss_vfl: 1.091915 loss_bbox: 0.462044 loss_dfl: 0.434798 loss: 1.978114 eta: 18:58:09 batch_cost: 0.8234 data_cost: 0.1567 ips: 77.7311 images/s
[03/19 01:49:57] ppdet.engine INFO: Epoch: [124] [200/458] learning_rate: 0.202942 loss_vfl: 1.039726 loss_bbox: 0.461955 loss_dfl: 0.430216 loss: 1.941814 eta: 18:57:49 batch_cost: 0.7624 data_cost: 0.0036 ips: 83.9442 images/s
[03/19 01:50:17] ppdet.engine INFO: Epoch: [124] [220/458] learning_rate: 0.202872 loss_vfl: 1.080732 loss_bbox: 0.502829 loss_dfl: 0.452399 loss: 2.030787 eta: 18:57:33 batch_cost: 0.8664 data_cost: 0.0033 ips: 73.8707 images/s
[03/19 01:50:34] ppdet.engine INFO: Epoch: [124] [240/458] learning_rate: 0.202801 loss_vfl: 1.090764 loss_bbox: 0.512969 loss_dfl: 0.462487 loss: 2.052991 eta: 18:57:12 batch_cost: 0.6952 data_cost: 0.0006 ips: 92.0627 images/s
[03/19 01:50:53] ppdet.engine INFO: Epoch: [124] [260/458] learning_rate: 0.202730 loss_vfl: 1.035725 loss_bbox: 0.465390 loss_dfl: 0.430755 loss: 1.903039 eta: 18:56:54 batch_cost: 0.8086 data_cost: 0.2290 ips: 79.1476 images/s
[03/19 01:51:10] ppdet.engine INFO: Epoch: [124] [280/458] learning_rate: 0.202660 loss_vfl: 1.060797 loss_bbox: 0.471333 loss_dfl: 0.437150 loss: 1.986457 eta: 18:56:35 batch_cost: 0.8090 data_cost: 0.2013 ips: 79.1131 images/s
[03/19 01:51:26] ppdet.engine INFO: Epoch: [124] [300/458] learning_rate: 0.202589 loss_vfl: 1.124642 loss_bbox: 0.484757 loss_dfl: 0.458630 loss: 2.086353 eta: 18:56:14 batch_cost: 0.6953 data_cost: 0.2365 ips: 92.0400 images/s
[03/19 01:51:41] ppdet.engine INFO: Epoch: [124] [320/458] learning_rate: 0.202518 loss_vfl: 1.061989 loss_bbox: 0.449560 loss_dfl: 0.433562 loss: 1.962147 eta: 18:55:51 batch_cost: 0.6158 data_cost: 0.1035 ips: 103.9328 images/s
[03/19 01:52:00] ppdet.engine INFO: Epoch: [124] [340/458] learning_rate: 0.202448 loss_vfl: 1.085872 loss_bbox: 0.467361 loss_dfl: 0.439954 loss: 2.019615 eta: 18:55:33 batch_cost: 0.8140 data_cost: 0.0025 ips: 78.6267 images/s
[03/19 01:52:19] ppdet.engine INFO: Epoch: [124] [360/458] learning_rate: 0.202377 loss_vfl: 1.118657 loss_bbox: 0.486283 loss_dfl: 0.464448 loss: 2.090592 eta: 18:55:13 batch_cost: 0.7676 data_cost: 0.0254 ips: 83.3794 images/s
[03/19 01:52:39] ppdet.engine INFO: Epoch: [124] [380/458] learning_rate: 0.202306 loss_vfl: 1.021389 loss_bbox: 0.464456 loss_dfl: 0.423405 loss: 1.891648 eta: 18:54:57 batch_cost: 0.8714 data_cost: 0.0053 ips: 73.4410 images/s
[03/19 01:52:57] ppdet.engine INFO: Epoch: [124] [400/458] learning_rate: 0.202236 loss_vfl: 1.099071 loss_bbox: 0.482298 loss_dfl: 0.446266 loss: 1.999330 eta: 18:54:39 batch_cost: 0.8284 data_cost: 0.1467 ips: 77.2610 images/s
[03/19 01:53:15] ppdet.engine INFO: Epoch: [124] [420/458] learning_rate: 0.202165 loss_vfl: 1.036628 loss_bbox: 0.499347 loss_dfl: 0.432815 loss: 1.976384 eta: 18:54:21 batch_cost: 0.8002 data_cost: 0.2139 ips: 79.9791 images/s
[03/19 01:53:33] ppdet.engine INFO: Epoch: [124] [440/458] learning_rate: 0.202094 loss_vfl: 1.096248 loss_bbox: 0.489242 loss_dfl: 0.450339 loss: 2.021747 eta: 18:54:01 batch_cost: 0.7301 data_cost: 0.0914 ips: 87.6619 images/s
[03/19 01:53:55] ppdet.engine INFO: Epoch: [125] [  0/458] learning_rate: 0.202030 loss_vfl: 1.121810 loss_bbox: 0.502102 loss_dfl: 0.459179 loss: 2.091426 eta: 18:53:53 batch_cost: 1.0729 data_cost: 0.6290 ips: 59.6540 images/s
[03/19 01:54:14] ppdet.engine INFO: Epoch: [125] [ 20/458] learning_rate: 0.201960 loss_vfl: 1.109070 loss_bbox: 0.471940 loss_dfl: 0.432321 loss: 1.991598 eta: 18:53:36 batch_cost: 0.8636 data_cost: 0.2544 ips: 74.1052 images/s
[03/19 01:54:33] ppdet.engine INFO: Epoch: [125] [ 40/458] learning_rate: 0.201889 loss_vfl: 1.086613 loss_bbox: 0.500423 loss_dfl: 0.447351 loss: 2.030063 eta: 18:53:21 batch_cost: 0.8913 data_cost: 0.3030 ips: 71.8025 images/s
[03/19 01:54:54] ppdet.engine INFO: Epoch: [125] [ 60/458] learning_rate: 0.201818 loss_vfl: 1.065411 loss_bbox: 0.462405 loss_dfl: 0.434888 loss: 1.961468 eta: 18:53:06 batch_cost: 0.9177 data_cost: 0.4778 ips: 69.7373 images/s
[03/19 01:55:15] ppdet.engine INFO: Epoch: [125] [ 80/458] learning_rate: 0.201747 loss_vfl: 1.069801 loss_bbox: 0.482434 loss_dfl: 0.445446 loss: 1.986618 eta: 18:52:52 batch_cost: 0.9905 data_cost: 0.5708 ips: 64.6132 images/s
[03/19 01:55:36] ppdet.engine INFO: Epoch: [125] [100/458] learning_rate: 0.201677 loss_vfl: 1.079847 loss_bbox: 0.482439 loss_dfl: 0.437169 loss: 2.008415 eta: 18:52:38 batch_cost: 0.9389 data_cost: 0.4826 ips: 68.1670 images/s
[03/19 01:55:54] ppdet.engine INFO: Epoch: [125] [120/458] learning_rate: 0.201606 loss_vfl: 1.123313 loss_bbox: 0.511514 loss_dfl: 0.465993 loss: 2.116046 eta: 18:52:21 batch_cost: 0.8544 data_cost: 0.4402 ips: 74.9050 images/s
[03/19 01:56:16] ppdet.engine INFO: Epoch: [125] [140/458] learning_rate: 0.201535 loss_vfl: 1.114420 loss_bbox: 0.516691 loss_dfl: 0.453887 loss: 2.063150 eta: 18:52:08 batch_cost: 0.9955 data_cost: 0.5562 ips: 64.2903 images/s
[03/19 01:56:36] ppdet.engine INFO: Epoch: [125] [160/458] learning_rate: 0.201464 loss_vfl: 1.041256 loss_bbox: 0.445709 loss_dfl: 0.418963 loss: 1.945380 eta: 18:51:53 batch_cost: 0.9090 data_cost: 0.4999 ips: 70.4102 images/s
[03/19 01:56:58] ppdet.engine INFO: Epoch: [125] [180/458] learning_rate: 0.201393 loss_vfl: 1.012766 loss_bbox: 0.457860 loss_dfl: 0.415550 loss: 1.862547 eta: 18:51:40 batch_cost: 1.0095 data_cost: 0.5365 ips: 63.3985 images/s
[03/19 01:57:16] ppdet.engine INFO: Epoch: [125] [200/458] learning_rate: 0.201323 loss_vfl: 1.029579 loss_bbox: 0.456640 loss_dfl: 0.422171 loss: 1.893400 eta: 18:51:22 batch_cost: 0.8044 data_cost: 0.4041 ips: 79.5611 images/s
[03/19 01:57:34] ppdet.engine INFO: Epoch: [125] [220/458] learning_rate: 0.201252 loss_vfl: 1.078379 loss_bbox: 0.494990 loss_dfl: 0.447032 loss: 2.023761 eta: 18:51:04 batch_cost: 0.8069 data_cost: 0.3489 ips: 79.3193 images/s
[03/19 01:57:56] ppdet.engine INFO: Epoch: [125] [240/458] learning_rate: 0.201181 loss_vfl: 1.099215 loss_bbox: 0.509373 loss_dfl: 0.468197 loss: 2.086496 eta: 18:50:51 batch_cost: 1.0064 data_cost: 0.5430 ips: 63.5910 images/s
[03/19 01:58:16] ppdet.engine INFO: Epoch: [125] [260/458] learning_rate: 0.201110 loss_vfl: 1.038074 loss_bbox: 0.509265 loss_dfl: 0.430872 loss: 1.960393 eta: 18:50:36 batch_cost: 0.9060 data_cost: 0.4291 ips: 70.6390 images/s
[03/19 01:58:32] ppdet.engine INFO: Epoch: [125] [280/458] learning_rate: 0.201039 loss_vfl: 1.101679 loss_bbox: 0.499507 loss_dfl: 0.454744 loss: 2.066278 eta: 18:50:15 batch_cost: 0.7170 data_cost: 0.2478 ips: 89.2609 images/s
[03/19 01:58:49] ppdet.engine INFO: Epoch: [125] [300/458] learning_rate: 0.200968 loss_vfl: 1.110529 loss_bbox: 0.491197 loss_dfl: 0.452240 loss: 2.052315 eta: 18:49:55 batch_cost: 0.7287 data_cost: 0.2703 ips: 87.8239 images/s
[03/19 01:59:05] ppdet.engine INFO: Epoch: [125] [320/458] learning_rate: 0.200897 loss_vfl: 1.054090 loss_bbox: 0.466439 loss_dfl: 0.428880 loss: 1.940294 eta: 18:49:34 batch_cost: 0.6827 data_cost: 0.1981 ips: 93.7468 images/s
[03/19 01:59:19] ppdet.engine INFO: Epoch: [125] [340/458] learning_rate: 0.200826 loss_vfl: 1.133718 loss_bbox: 0.519017 loss_dfl: 0.478064 loss: 2.143304 eta: 18:49:10 batch_cost: 0.5972 data_cost: 0.1648 ips: 107.1658 images/s
[03/19 01:59:43] ppdet.engine INFO: Epoch: [125] [360/458] learning_rate: 0.200756 loss_vfl: 1.065170 loss_bbox: 0.503352 loss_dfl: 0.452979 loss: 2.027319 eta: 18:49:01 batch_cost: 1.1608 data_cost: 0.7225 ips: 55.1337 images/s
[03/19 02:00:01] ppdet.engine INFO: Epoch: [125] [380/458] learning_rate: 0.200685 loss_vfl: 1.098345 loss_bbox: 0.481595 loss_dfl: 0.457084 loss: 2.057649 eta: 18:48:41 batch_cost: 0.7415 data_cost: 0.2292 ips: 86.3162 images/s
[03/19 02:00:21] ppdet.engine INFO: Epoch: [125] [400/458] learning_rate: 0.200614 loss_vfl: 1.089417 loss_bbox: 0.498318 loss_dfl: 0.449212 loss: 2.041887 eta: 18:48:25 batch_cost: 0.8746 data_cost: 0.4037 ips: 73.1753 images/s
[03/19 02:00:42] ppdet.engine INFO: Epoch: [125] [420/458] learning_rate: 0.200543 loss_vfl: 1.095833 loss_bbox: 0.478276 loss_dfl: 0.449550 loss: 2.032406 eta: 18:48:12 batch_cost: 0.9833 data_cost: 0.5029 ips: 65.0895 images/s
[03/19 02:01:02] ppdet.engine INFO: Epoch: [125] [440/458] learning_rate: 0.200472 loss_vfl: 1.088673 loss_bbox: 0.499825 loss_dfl: 0.454708 loss: 2.074195 eta: 18:47:57 batch_cost: 0.9246 data_cost: 0.4834 ips: 69.2190 images/s
[03/19 02:01:24] ppdet.engine INFO: Epoch: [126] [  0/458] learning_rate: 0.200408 loss_vfl: 1.115566 loss_bbox: 0.497598 loss_dfl: 0.446758 loss: 2.052218 eta: 18:47:47 batch_cost: 1.0026 data_cost: 0.6187 ips: 63.8319 images/s
[03/19 02:01:43] ppdet.engine INFO: Epoch: [126] [ 20/458] learning_rate: 0.200337 loss_vfl: 1.057140 loss_bbox: 0.469965 loss_dfl: 0.439364 loss: 1.963158 eta: 18:47:32 batch_cost: 0.9105 data_cost: 0.5232 ips: 70.2942 images/s
[03/19 02:02:06] ppdet.engine INFO: Epoch: [126] [ 40/458] learning_rate: 0.200266 loss_vfl: 1.098836 loss_bbox: 0.484449 loss_dfl: 0.443107 loss: 2.030254 eta: 18:47:19 batch_cost: 0.9999 data_cost: 0.5477 ips: 64.0034 images/s
[03/19 02:02:28] ppdet.engine INFO: Epoch: [126] [ 60/458] learning_rate: 0.200195 loss_vfl: 1.056339 loss_bbox: 0.466699 loss_dfl: 0.428890 loss: 1.933207 eta: 18:47:07 batch_cost: 1.0300 data_cost: 0.6207 ips: 62.1377 images/s
[03/19 02:02:47] ppdet.engine INFO: Epoch: [126] [ 80/458] learning_rate: 0.200124 loss_vfl: 1.080142 loss_bbox: 0.510561 loss_dfl: 0.461806 loss: 2.059612 eta: 18:46:50 batch_cost: 0.8684 data_cost: 0.4459 ips: 73.7024 images/s
[03/19 02:03:09] ppdet.engine INFO: Epoch: [126] [100/458] learning_rate: 0.200053 loss_vfl: 1.109594 loss_bbox: 0.509633 loss_dfl: 0.469385 loss: 2.077832 eta: 18:46:38 batch_cost: 1.0105 data_cost: 0.5411 ips: 63.3357 images/s
[03/19 02:03:25] ppdet.engine INFO: Epoch: [126] [120/458] learning_rate: 0.199982 loss_vfl: 1.046262 loss_bbox: 0.471735 loss_dfl: 0.436641 loss: 1.963417 eta: 18:46:16 batch_cost: 0.6738 data_cost: 0.2665 ips: 94.9770 images/s
[03/19 02:03:47] ppdet.engine INFO: Epoch: [126] [140/458] learning_rate: 0.199911 loss_vfl: 1.045840 loss_bbox: 0.487731 loss_dfl: 0.433293 loss: 1.981586 eta: 18:46:05 batch_cost: 1.0517 data_cost: 0.4584 ips: 60.8520 images/s
[03/19 02:04:10] ppdet.engine INFO: Epoch: [126] [160/458] learning_rate: 0.199840 loss_vfl: 1.084312 loss_bbox: 0.491865 loss_dfl: 0.435695 loss: 2.004433 eta: 18:45:54 batch_cost: 1.0855 data_cost: 0.6328 ips: 58.9567 images/s
[03/19 02:04:33] ppdet.engine INFO: Epoch: [126] [180/458] learning_rate: 0.199769 loss_vfl: 1.091740 loss_bbox: 0.478503 loss_dfl: 0.444978 loss: 2.010407 eta: 18:45:43 batch_cost: 1.0676 data_cost: 0.5770 ips: 59.9448 images/s
[03/19 02:04:52] ppdet.engine INFO: Epoch: [126] [200/458] learning_rate: 0.199698 loss_vfl: 1.090826 loss_bbox: 0.495881 loss_dfl: 0.443603 loss: 1.998177 eta: 18:45:27 batch_cost: 0.8865 data_cost: 0.4294 ips: 72.1952 images/s
[03/19 02:05:13] ppdet.engine INFO: Epoch: [126] [220/458] learning_rate: 0.199627 loss_vfl: 1.096049 loss_bbox: 0.519132 loss_dfl: 0.464507 loss: 2.088247 eta: 18:45:13 batch_cost: 0.9549 data_cost: 0.4554 ips: 67.0208 images/s
[03/19 02:05:32] ppdet.engine INFO: Epoch: [126] [240/458] learning_rate: 0.199556 loss_vfl: 1.078128 loss_bbox: 0.496988 loss_dfl: 0.448069 loss: 2.035509 eta: 18:44:56 batch_cost: 0.8620 data_cost: 0.0028 ips: 74.2484 images/s
[03/19 02:05:50] ppdet.engine INFO: Epoch: [126] [260/458] learning_rate: 0.199485 loss_vfl: 1.023783 loss_bbox: 0.463149 loss_dfl: 0.416863 loss: 1.913367 eta: 18:44:39 batch_cost: 0.8457 data_cost: 0.0007 ips: 75.6730 images/s
[03/19 02:06:07] ppdet.engine INFO: Epoch: [126] [280/458] learning_rate: 0.199414 loss_vfl: 1.096080 loss_bbox: 0.503692 loss_dfl: 0.453299 loss: 2.033747 eta: 18:44:20 batch_cost: 0.7712 data_cost: 0.0023 ips: 82.9839 images/s
[03/19 02:06:20] ppdet.engine INFO: Epoch: [126] [300/458] learning_rate: 0.199343 loss_vfl: 1.072102 loss_bbox: 0.471343 loss_dfl: 0.438641 loss: 1.942122 eta: 18:43:56 batch_cost: 0.5718 data_cost: 0.0013 ips: 111.9194 images/s
[03/19 02:06:39] ppdet.engine INFO: Epoch: [126] [320/458] learning_rate: 0.199272 loss_vfl: 1.073386 loss_bbox: 0.494253 loss_dfl: 0.450108 loss: 2.008433 eta: 18:43:38 batch_cost: 0.8415 data_cost: 0.0006 ips: 76.0588 images/s
[03/19 02:06:58] ppdet.engine INFO: Epoch: [126] [340/458] learning_rate: 0.199201 loss_vfl: 1.048074 loss_bbox: 0.470413 loss_dfl: 0.432281 loss: 1.959115 eta: 18:43:22 batch_cost: 0.8585 data_cost: 0.0623 ips: 74.5494 images/s
[03/19 02:07:18] ppdet.engine INFO: Epoch: [126] [360/458] learning_rate: 0.199130 loss_vfl: 1.029241 loss_bbox: 0.456088 loss_dfl: 0.422139 loss: 1.932065 eta: 18:43:06 batch_cost: 0.8916 data_cost: 0.0583 ips: 71.7799 images/s
[03/19 02:07:39] ppdet.engine INFO: Epoch: [126] [380/458] learning_rate: 0.199058 loss_vfl: 1.066794 loss_bbox: 0.482682 loss_dfl: 0.450219 loss: 2.005838 eta: 18:42:52 batch_cost: 0.9511 data_cost: 0.0015 ips: 67.2911 images/s
[03/19 02:07:59] ppdet.engine INFO: Epoch: [126] [400/458] learning_rate: 0.198987 loss_vfl: 1.113177 loss_bbox: 0.503161 loss_dfl: 0.454345 loss: 2.072817 eta: 18:42:37 batch_cost: 0.9336 data_cost: 0.0026 ips: 68.5551 images/s
[03/19 02:08:19] ppdet.engine INFO: Epoch: [126] [420/458] learning_rate: 0.198916 loss_vfl: 1.127241 loss_bbox: 0.517129 loss_dfl: 0.469011 loss: 2.122296 eta: 18:42:22 batch_cost: 0.9211 data_cost: 0.0009 ips: 69.4850 images/s
[03/19 02:08:38] ppdet.engine INFO: Epoch: [126] [440/458] learning_rate: 0.198845 loss_vfl: 1.094936 loss_bbox: 0.527852 loss_dfl: 0.470495 loss: 2.098547 eta: 18:42:06 batch_cost: 0.8863 data_cost: 0.0018 ips: 72.2118 images/s
[03/19 02:09:00] ppdet.engine INFO: Epoch: [127] [  0/458] learning_rate: 0.198781 loss_vfl: 1.081855 loss_bbox: 0.477213 loss_dfl: 0.452542 loss: 2.007655 eta: 18:41:57 batch_cost: 1.0586 data_cost: 0.3457 ips: 60.4587 images/s
[03/19 02:09:20] ppdet.engine INFO: Epoch: [127] [ 20/458] learning_rate: 0.198710 loss_vfl: 1.081694 loss_bbox: 0.475922 loss_dfl: 0.449893 loss: 2.034194 eta: 18:41:40 batch_cost: 0.8422 data_cost: 0.0204 ips: 75.9904 images/s
[03/19 02:09:42] ppdet.engine INFO: Epoch: [127] [ 40/458] learning_rate: 0.198639 loss_vfl: 1.030088 loss_bbox: 0.444195 loss_dfl: 0.411139 loss: 1.879470 eta: 18:41:26 batch_cost: 0.9430 data_cost: 0.2110 ips: 67.8696 images/s
[03/19 02:09:59] ppdet.engine INFO: Epoch: [127] [ 60/458] learning_rate: 0.198568 loss_vfl: 1.037521 loss_bbox: 0.473526 loss_dfl: 0.431257 loss: 1.931253 eta: 18:41:07 batch_cost: 0.8035 data_cost: 0.1388 ips: 79.6512 images/s
[03/19 02:10:18] ppdet.engine INFO: Epoch: [127] [ 80/458] learning_rate: 0.198496 loss_vfl: 0.996725 loss_bbox: 0.440653 loss_dfl: 0.405342 loss: 1.850744 eta: 18:40:49 batch_cost: 0.7991 data_cost: 0.1889 ips: 80.0932 images/s
[03/19 02:10:39] ppdet.engine INFO: Epoch: [127] [100/458] learning_rate: 0.198425 loss_vfl: 1.090398 loss_bbox: 0.495869 loss_dfl: 0.452935 loss: 2.033847 eta: 18:40:34 batch_cost: 0.9246 data_cost: 0.3085 ips: 69.2176 images/s
[03/19 02:10:58] ppdet.engine INFO: Epoch: [127] [120/458] learning_rate: 0.198354 loss_vfl: 1.098611 loss_bbox: 0.490677 loss_dfl: 0.455400 loss: 2.037496 eta: 18:40:17 batch_cost: 0.8640 data_cost: 0.1203 ips: 74.0703 images/s
[03/19 02:11:18] ppdet.engine INFO: Epoch: [127] [140/458] learning_rate: 0.198283 loss_vfl: 1.032032 loss_bbox: 0.457500 loss_dfl: 0.425997 loss: 1.899098 eta: 18:40:00 batch_cost: 0.8434 data_cost: 0.0021 ips: 75.8837 images/s
[03/19 02:11:38] ppdet.engine INFO: Epoch: [127] [160/458] learning_rate: 0.198212 loss_vfl: 1.072586 loss_bbox: 0.519799 loss_dfl: 0.454966 loss: 2.056893 eta: 18:39:46 batch_cost: 0.9353 data_cost: 0.3610 ips: 68.4246 images/s
[03/19 02:11:57] ppdet.engine INFO: Epoch: [127] [180/458] learning_rate: 0.198140 loss_vfl: 1.072060 loss_bbox: 0.481430 loss_dfl: 0.432181 loss: 1.965961 eta: 18:39:28 batch_cost: 0.8140 data_cost: 0.2547 ips: 78.6197 images/s
[03/19 02:12:16] ppdet.engine INFO: Epoch: [127] [200/458] learning_rate: 0.198069 loss_vfl: 0.988126 loss_bbox: 0.455918 loss_dfl: 0.408633 loss: 1.838724 eta: 18:39:09 batch_cost: 0.8084 data_cost: 0.2082 ips: 79.1667 images/s
[03/19 02:12:37] ppdet.engine INFO: Epoch: [127] [220/458] learning_rate: 0.197998 loss_vfl: 1.132279 loss_bbox: 0.504184 loss_dfl: 0.466051 loss: 2.081481 eta: 18:38:55 batch_cost: 0.9565 data_cost: 0.2700 ips: 66.9082 images/s
[03/19 02:12:54] ppdet.engine INFO: Epoch: [127] [240/458] learning_rate: 0.197927 loss_vfl: 1.056117 loss_bbox: 0.481539 loss_dfl: 0.441911 loss: 1.987693 eta: 18:38:35 batch_cost: 0.7280 data_cost: 0.1003 ips: 87.9172 images/s
[03/19 02:13:09] ppdet.engine INFO: Epoch: [127] [260/458] learning_rate: 0.197856 loss_vfl: 1.068331 loss_bbox: 0.476509 loss_dfl: 0.439007 loss: 1.984335 eta: 18:38:12 batch_cost: 0.6311 data_cost: 0.0033 ips: 101.4094 images/s
[03/19 02:13:23] ppdet.engine INFO: Epoch: [127] [280/458] learning_rate: 0.197784 loss_vfl: 1.055710 loss_bbox: 0.484810 loss_dfl: 0.449728 loss: 2.000316 eta: 18:37:50 batch_cost: 0.6499 data_cost: 0.0026 ips: 98.4832 images/s
[03/19 02:13:40] ppdet.engine INFO: Epoch: [127] [300/458] learning_rate: 0.197713 loss_vfl: 1.044938 loss_bbox: 0.461921 loss_dfl: 0.423178 loss: 1.909162 eta: 18:37:31 batch_cost: 0.7731 data_cost: 0.0805 ips: 82.7819 images/s
[03/19 02:13:59] ppdet.engine INFO: Epoch: [127] [320/458] learning_rate: 0.197642 loss_vfl: 1.047857 loss_bbox: 0.466613 loss_dfl: 0.443658 loss: 1.966125 eta: 18:37:13 batch_cost: 0.8372 data_cost: 0.1631 ips: 76.4436 images/s
[03/19 02:14:21] ppdet.engine INFO: Epoch: [127] [340/458] learning_rate: 0.197570 loss_vfl: 1.076174 loss_bbox: 0.492270 loss_dfl: 0.445814 loss: 2.002071 eta: 18:36:59 batch_cost: 0.9471 data_cost: 0.0018 ips: 67.5768 images/s
[03/19 02:14:42] ppdet.engine INFO: Epoch: [127] [360/458] learning_rate: 0.197499 loss_vfl: 1.058985 loss_bbox: 0.471821 loss_dfl: 0.436173 loss: 1.971457 eta: 18:36:44 batch_cost: 0.9307 data_cost: 0.1848 ips: 68.7674 images/s
[03/19 02:15:00] ppdet.engine INFO: Epoch: [127] [380/458] learning_rate: 0.197428 loss_vfl: 1.013505 loss_bbox: 0.452841 loss_dfl: 0.427928 loss: 1.879413 eta: 18:36:25 batch_cost: 0.7791 data_cost: 0.2019 ips: 82.1439 images/s
[03/19 02:15:19] ppdet.engine INFO: Epoch: [127] [400/458] learning_rate: 0.197357 loss_vfl: 1.076249 loss_bbox: 0.464713 loss_dfl: 0.427688 loss: 1.973969 eta: 18:36:07 batch_cost: 0.7833 data_cost: 0.2253 ips: 81.7048 images/s
[03/19 02:15:41] ppdet.engine INFO: Epoch: [127] [420/458] learning_rate: 0.197285 loss_vfl: 1.069687 loss_bbox: 0.483044 loss_dfl: 0.450564 loss: 2.007302 eta: 18:35:53 batch_cost: 0.9862 data_cost: 0.3861 ips: 64.8946 images/s
[03/19 02:15:59] ppdet.engine INFO: Epoch: [127] [440/458] learning_rate: 0.197214 loss_vfl: 1.024543 loss_bbox: 0.474710 loss_dfl: 0.437345 loss: 1.927927 eta: 18:35:34 batch_cost: 0.7579 data_cost: 0.1496 ips: 84.4468 images/s
[03/19 02:16:22] ppdet.engine INFO: Epoch: [128] [  0/458] learning_rate: 0.197150 loss_vfl: 1.023740 loss_bbox: 0.458095 loss_dfl: 0.419760 loss: 1.885768 eta: 18:35:24 batch_cost: 1.0337 data_cost: 0.5051 ips: 61.9114 images/s
[03/19 02:16:44] ppdet.engine INFO: Epoch: [128] [ 20/458] learning_rate: 0.197078 loss_vfl: 1.112828 loss_bbox: 0.505412 loss_dfl: 0.469277 loss: 2.100123 eta: 18:35:10 batch_cost: 0.9670 data_cost: 0.0088 ips: 66.1846 images/s
[03/19 02:17:04] ppdet.engine INFO: Epoch: [128] [ 40/458] learning_rate: 0.197007 loss_vfl: 1.050641 loss_bbox: 0.461156 loss_dfl: 0.435105 loss: 1.982485 eta: 18:34:55 batch_cost: 0.9071 data_cost: 0.0035 ips: 70.5559 images/s
[03/19 02:17:26] ppdet.engine INFO: Epoch: [128] [ 60/458] learning_rate: 0.196936 loss_vfl: 1.083424 loss_bbox: 0.496852 loss_dfl: 0.455370 loss: 2.043581 eta: 18:34:43 batch_cost: 1.0343 data_cost: 0.0032 ips: 61.8776 images/s
[03/19 02:17:46] ppdet.engine INFO: Epoch: [128] [ 80/458] learning_rate: 0.196864 loss_vfl: 1.086058 loss_bbox: 0.477281 loss_dfl: 0.443839 loss: 2.011456 eta: 18:34:28 batch_cost: 0.9391 data_cost: 0.0030 ips: 68.1504 images/s
[03/19 02:18:07] ppdet.engine INFO: Epoch: [128] [100/458] learning_rate: 0.196793 loss_vfl: 1.061507 loss_bbox: 0.475863 loss_dfl: 0.430694 loss: 1.967026 eta: 18:34:15 batch_cost: 0.9736 data_cost: 0.0314 ips: 65.7330 images/s
[03/19 02:18:26] ppdet.engine INFO: Epoch: [128] [120/458] learning_rate: 0.196722 loss_vfl: 1.076875 loss_bbox: 0.479234 loss_dfl: 0.435727 loss: 1.986283 eta: 18:33:58 batch_cost: 0.8575 data_cost: 0.0013 ips: 74.6318 images/s
[03/19 02:18:48] ppdet.engine INFO: Epoch: [128] [140/458] learning_rate: 0.196650 loss_vfl: 1.089274 loss_bbox: 0.479661 loss_dfl: 0.446383 loss: 2.005882 eta: 18:33:44 batch_cost: 0.9533 data_cost: 0.0384 ips: 67.1327 images/s
[03/19 02:19:09] ppdet.engine INFO: Epoch: [128] [160/458] learning_rate: 0.196579 loss_vfl: 1.064520 loss_bbox: 0.467795 loss_dfl: 0.440826 loss: 1.992787 eta: 18:33:30 batch_cost: 0.9829 data_cost: 0.0182 ips: 65.1108 images/s
[03/19 02:19:30] ppdet.engine INFO: Epoch: [128] [180/458] learning_rate: 0.196508 loss_vfl: 1.055873 loss_bbox: 0.470266 loss_dfl: 0.436969 loss: 1.952771 eta: 18:33:16 batch_cost: 0.9332 data_cost: 0.0034 ips: 68.5817 images/s
[03/19 02:19:50] ppdet.engine INFO: Epoch: [128] [200/458] learning_rate: 0.196436 loss_vfl: 1.019186 loss_bbox: 0.464169 loss_dfl: 0.428838 loss: 1.911421 eta: 18:33:00 batch_cost: 0.8904 data_cost: 0.1239 ips: 71.8813 images/s
[03/19 02:20:06] ppdet.engine INFO: Epoch: [128] [220/458] learning_rate: 0.196365 loss_vfl: 1.113645 loss_bbox: 0.478781 loss_dfl: 0.447550 loss: 2.041764 eta: 18:32:39 batch_cost: 0.6990 data_cost: 0.0910 ips: 91.5553 images/s
[03/19 02:20:22] ppdet.engine INFO: Epoch: [128] [240/458] learning_rate: 0.196293 loss_vfl: 1.041496 loss_bbox: 0.446305 loss_dfl: 0.415505 loss: 1.885852 eta: 18:32:18 batch_cost: 0.7130 data_cost: 0.2022 ips: 89.7572 images/s
[03/19 02:20:39] ppdet.engine INFO: Epoch: [128] [260/458] learning_rate: 0.196222 loss_vfl: 1.077970 loss_bbox: 0.500648 loss_dfl: 0.441310 loss: 2.029687 eta: 18:31:59 batch_cost: 0.7659 data_cost: 0.2227 ips: 83.5651 images/s
[03/19 02:21:00] ppdet.engine INFO: Epoch: [128] [280/458] learning_rate: 0.196151 loss_vfl: 1.032589 loss_bbox: 0.465573 loss_dfl: 0.429396 loss: 1.919047 eta: 18:31:46 batch_cost: 0.9927 data_cost: 0.3967 ips: 64.4675 images/s
[03/19 02:21:23] ppdet.engine INFO: Epoch: [128] [300/458] learning_rate: 0.196079 loss_vfl: 1.081859 loss_bbox: 0.475764 loss_dfl: 0.451733 loss: 2.023191 eta: 18:31:33 batch_cost: 1.0251 data_cost: 0.4504 ips: 62.4332 images/s
[03/19 02:21:41] ppdet.engine INFO: Epoch: [128] [320/458] learning_rate: 0.196008 loss_vfl: 1.057646 loss_bbox: 0.462677 loss_dfl: 0.434813 loss: 1.964794 eta: 18:31:14 batch_cost: 0.7494 data_cost: 0.1038 ips: 85.4031 images/s
[03/19 02:22:03] ppdet.engine INFO: Epoch: [128] [340/458] learning_rate: 0.195936 loss_vfl: 1.082196 loss_bbox: 0.482750 loss_dfl: 0.444168 loss: 2.009447 eta: 18:31:01 batch_cost: 1.0360 data_cost: 0.3734 ips: 61.7744 images/s
[03/19 02:22:27] ppdet.engine INFO: Epoch: [128] [360/458] learning_rate: 0.195865 loss_vfl: 1.039706 loss_bbox: 0.450741 loss_dfl: 0.420974 loss: 1.923186 eta: 18:30:51 batch_cost: 1.0990 data_cost: 0.4667 ips: 58.2341 images/s
[03/19 02:22:43] ppdet.engine INFO: Epoch: [128] [380/458] learning_rate: 0.195793 loss_vfl: 1.098266 loss_bbox: 0.501415 loss_dfl: 0.453671 loss: 2.045405 eta: 18:30:31 batch_cost: 0.7143 data_cost: 0.3061 ips: 89.5963 images/s
[03/19 02:23:06] ppdet.engine INFO: Epoch: [128] [400/458] learning_rate: 0.195722 loss_vfl: 1.035480 loss_bbox: 0.462034 loss_dfl: 0.426889 loss: 1.919939 eta: 18:30:19 batch_cost: 1.0475 data_cost: 0.0575 ips: 61.0952 images/s
[03/19 02:23:26] ppdet.engine INFO: Epoch: [128] [420/458] learning_rate: 0.195650 loss_vfl: 1.115928 loss_bbox: 0.482266 loss_dfl: 0.459842 loss: 2.067797 eta: 18:30:04 batch_cost: 0.9260 data_cost: 0.0049 ips: 69.1146 images/s
[03/19 02:23:45] ppdet.engine INFO: Epoch: [128] [440/458] learning_rate: 0.195579 loss_vfl: 1.087716 loss_bbox: 0.489325 loss_dfl: 0.448087 loss: 2.005661 eta: 18:29:45 batch_cost: 0.7986 data_cost: 0.0022 ips: 80.1442 images/s
[03/19 02:24:08] ppdet.engine INFO: Epoch: [129] [  0/458] learning_rate: 0.195514 loss_vfl: 1.143488 loss_bbox: 0.483915 loss_dfl: 0.442797 loss: 2.061486 eta: 18:29:37 batch_cost: 1.1045 data_cost: 0.4665 ips: 57.9466 images/s
[03/19 02:24:29] ppdet.engine INFO: Epoch: [129] [ 20/458] learning_rate: 0.195443 loss_vfl: 1.064692 loss_bbox: 0.476833 loss_dfl: 0.440333 loss: 1.984297 eta: 18:29:23 batch_cost: 0.9457 data_cost: 0.3174 ips: 67.6732 images/s
[03/19 02:24:46] ppdet.engine INFO: Epoch: [129] [ 40/458] learning_rate: 0.195371 loss_vfl: 1.083002 loss_bbox: 0.493943 loss_dfl: 0.449891 loss: 2.027878 eta: 18:29:03 batch_cost: 0.7505 data_cost: 0.2544 ips: 85.2811 images/s
[03/19 02:25:06] ppdet.engine INFO: Epoch: [129] [ 60/458] learning_rate: 0.195300 loss_vfl: 1.074465 loss_bbox: 0.484460 loss_dfl: 0.444722 loss: 1.995874 eta: 18:28:46 batch_cost: 0.8553 data_cost: 0.2833 ips: 74.8239 images/s
[03/19 02:25:29] ppdet.engine INFO: Epoch: [129] [ 80/458] learning_rate: 0.195228 loss_vfl: 1.135930 loss_bbox: 0.523245 loss_dfl: 0.457406 loss: 2.103983 eta: 18:28:34 batch_cost: 1.0201 data_cost: 0.4137 ips: 62.7406 images/s
[03/19 02:25:47] ppdet.engine INFO: Epoch: [129] [100/458] learning_rate: 0.195157 loss_vfl: 1.076120 loss_bbox: 0.493638 loss_dfl: 0.439091 loss: 2.006769 eta: 18:28:15 batch_cost: 0.7817 data_cost: 0.2253 ips: 81.8711 images/s
[03/19 02:26:09] ppdet.engine INFO: Epoch: [129] [120/458] learning_rate: 0.195085 loss_vfl: 1.050496 loss_bbox: 0.469763 loss_dfl: 0.433966 loss: 1.936988 eta: 18:28:00 batch_cost: 0.9416 data_cost: 0.0025 ips: 67.9682 images/s
[03/19 02:26:28] ppdet.engine INFO: Epoch: [129] [140/458] learning_rate: 0.195014 loss_vfl: 1.071088 loss_bbox: 0.509881 loss_dfl: 0.451396 loss: 2.027955 eta: 18:27:42 batch_cost: 0.7879 data_cost: 0.1586 ips: 81.2239 images/s
[03/19 02:26:45] ppdet.engine INFO: Epoch: [129] [160/458] learning_rate: 0.194942 loss_vfl: 1.038550 loss_bbox: 0.475821 loss_dfl: 0.429944 loss: 1.937627 eta: 18:27:22 batch_cost: 0.7286 data_cost: 0.2887 ips: 87.8358 images/s
[03/19 02:27:01] ppdet.engine INFO: Epoch: [129] [180/458] learning_rate: 0.194871 loss_vfl: 1.037321 loss_bbox: 0.455364 loss_dfl: 0.416920 loss: 1.926648 eta: 18:27:00 batch_cost: 0.6889 data_cost: 0.0887 ips: 92.8952 images/s
[03/19 02:27:15] ppdet.engine INFO: Epoch: [129] [200/458] learning_rate: 0.194799 loss_vfl: 1.050558 loss_bbox: 0.461361 loss_dfl: 0.429543 loss: 1.947354 eta: 18:26:36 batch_cost: 0.5757 data_cost: 0.0670 ips: 111.1668 images/s
[03/19 02:27:33] ppdet.engine INFO: Epoch: [129] [220/458] learning_rate: 0.194728 loss_vfl: 1.066230 loss_bbox: 0.474868 loss_dfl: 0.438044 loss: 2.005921 eta: 18:26:19 batch_cost: 0.8370 data_cost: 0.2046 ips: 76.4649 images/s
[03/19 02:27:53] ppdet.engine INFO: Epoch: [129] [240/458] learning_rate: 0.194656 loss_vfl: 1.051556 loss_bbox: 0.490638 loss_dfl: 0.442716 loss: 1.996603 eta: 18:26:02 batch_cost: 0.8486 data_cost: 0.2077 ips: 75.4161 images/s
[03/19 02:28:11] ppdet.engine INFO: Epoch: [129] [260/458] learning_rate: 0.194584 loss_vfl: 1.029953 loss_bbox: 0.486595 loss_dfl: 0.435879 loss: 1.961324 eta: 18:25:43 batch_cost: 0.8041 data_cost: 0.2664 ips: 79.5969 images/s
[03/19 02:28:31] ppdet.engine INFO: Epoch: [129] [280/458] learning_rate: 0.194513 loss_vfl: 1.021110 loss_bbox: 0.445618 loss_dfl: 0.419223 loss: 1.873222 eta: 18:25:25 batch_cost: 0.8028 data_cost: 0.0236 ips: 79.7250 images/s
[03/19 02:28:53] ppdet.engine INFO: Epoch: [129] [300/458] learning_rate: 0.194441 loss_vfl: 1.067831 loss_bbox: 0.495705 loss_dfl: 0.450173 loss: 2.037097 eta: 18:25:12 batch_cost: 0.9756 data_cost: 0.0936 ips: 65.5990 images/s
[03/19 02:29:13] ppdet.engine INFO: Epoch: [129] [320/458] learning_rate: 0.194370 loss_vfl: 1.084965 loss_bbox: 0.489696 loss_dfl: 0.447034 loss: 2.014823 eta: 18:24:55 batch_cost: 0.8654 data_cost: 0.0587 ips: 73.9552 images/s
[03/19 02:29:31] ppdet.engine INFO: Epoch: [129] [340/458] learning_rate: 0.194298 loss_vfl: 1.108748 loss_bbox: 0.507349 loss_dfl: 0.455211 loss: 2.082001 eta: 18:24:35 batch_cost: 0.7336 data_cost: 0.0030 ips: 87.2425 images/s
[03/19 02:29:54] ppdet.engine INFO: Epoch: [129] [360/458] learning_rate: 0.194226 loss_vfl: 1.005727 loss_bbox: 0.453705 loss_dfl: 0.429403 loss: 1.893819 eta: 18:24:21 batch_cost: 0.9764 data_cost: 0.0103 ips: 65.5437 images/s
[03/19 02:30:10] ppdet.engine INFO: Epoch: [129] [380/458] learning_rate: 0.194155 loss_vfl: 1.044453 loss_bbox: 0.466380 loss_dfl: 0.427540 loss: 1.940362 eta: 18:24:00 batch_cost: 0.6821 data_cost: 0.0041 ips: 93.8211 images/s
[03/19 02:30:31] ppdet.engine INFO: Epoch: [129] [400/458] learning_rate: 0.194083 loss_vfl: 1.078114 loss_bbox: 0.491731 loss_dfl: 0.441394 loss: 2.012296 eta: 18:23:44 batch_cost: 0.9082 data_cost: 0.0073 ips: 70.4653 images/s
[03/19 02:30:52] ppdet.engine INFO: Epoch: [129] [420/458] learning_rate: 0.194011 loss_vfl: 1.054406 loss_bbox: 0.469034 loss_dfl: 0.432200 loss: 1.952315 eta: 18:23:29 batch_cost: 0.9167 data_cost: 0.0016 ips: 69.8185 images/s
[03/19 02:31:12] ppdet.engine INFO: Epoch: [129] [440/458] learning_rate: 0.193940 loss_vfl: 1.098757 loss_bbox: 0.475828 loss_dfl: 0.451731 loss: 2.033465 eta: 18:23:12 batch_cost: 0.8477 data_cost: 0.0018 ips: 75.4982 images/s
[03/19 02:31:24] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 02:31:24] ppdet.engine INFO: Eval iter: 0
[03/19 02:31:43] ppdet.engine INFO: Eval iter: 100
[03/19 02:31:52] ppdet.engine INFO: Eval iter: 200
[03/19 02:32:02] ppdet.engine INFO: Eval iter: 300
[03/19 02:32:11] ppdet.engine INFO: Eval iter: 400
[03/19 02:32:20] ppdet.engine INFO: Eval iter: 500
[03/19 02:32:29] ppdet.engine INFO: Eval iter: 600
[03/19 02:32:43] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.91s)
creating index...
index created!
[03/19 02:32:44] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.37s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=78.34s).
Accumulating evaluation results...
DONE (t=15.15s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.207
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.317
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.216
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.056
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.198
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.373
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.225
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.359
 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 ] = 0.104
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.411
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.650
[03/19 02:34:24] ppdet.engine INFO: Total sample number: 4952, averge FPS: 73.70687585701633
[03/19 02:34:24] ppdet.engine INFO: Best test bbox ap is 0.207.
[03/19 02:34:24] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 02:34:24] ppdet.engine INFO: Epoch: [130] [  0/458] learning_rate: 0.193875 loss_vfl: 1.075789 loss_bbox: 0.489841 loss_dfl: 0.447327 loss: 2.004396 eta: 18:22:50 batch_cost: 0.5551 data_cost: 0.0011 ips: 115.3003 images/s
[03/19 02:34:40] ppdet.engine INFO: Epoch: [130] [ 20/458] learning_rate: 0.193804 loss_vfl: 1.043299 loss_bbox: 0.485004 loss_dfl: 0.430737 loss: 1.951500 eta: 18:22:28 batch_cost: 0.6689 data_cost: 0.2564 ips: 95.6762 images/s
[03/19 02:35:00] ppdet.engine INFO: Epoch: [130] [ 40/458] learning_rate: 0.193732 loss_vfl: 1.079179 loss_bbox: 0.479386 loss_dfl: 0.443012 loss: 1.985214 eta: 18:22:14 batch_cost: 0.9423 data_cost: 0.2997 ips: 67.9189 images/s
[03/19 02:35:21] ppdet.engine INFO: Epoch: [130] [ 60/458] learning_rate: 0.193660 loss_vfl: 1.042445 loss_bbox: 0.472645 loss_dfl: 0.434670 loss: 1.959938 eta: 18:21:59 batch_cost: 0.9346 data_cost: 0.3586 ips: 68.4785 images/s
[03/19 02:35:42] ppdet.engine INFO: Epoch: [130] [ 80/458] learning_rate: 0.193589 loss_vfl: 1.023629 loss_bbox: 0.443016 loss_dfl: 0.418085 loss: 1.908092 eta: 18:21:45 batch_cost: 0.9576 data_cost: 0.3699 ips: 66.8361 images/s
[03/19 02:36:01] ppdet.engine INFO: Epoch: [130] [100/458] learning_rate: 0.193517 loss_vfl: 1.068731 loss_bbox: 0.455804 loss_dfl: 0.424345 loss: 1.926576 eta: 18:21:26 batch_cost: 0.7765 data_cost: 0.1572 ips: 82.4225 images/s
[03/19 02:36:25] ppdet.engine INFO: Epoch: [130] [120/458] learning_rate: 0.193445 loss_vfl: 1.062693 loss_bbox: 0.474072 loss_dfl: 0.431120 loss: 1.962657 eta: 18:21:15 batch_cost: 1.0969 data_cost: 0.5560 ips: 58.3438 images/s
[03/19 02:36:43] ppdet.engine INFO: Epoch: [130] [140/458] learning_rate: 0.193373 loss_vfl: 1.112182 loss_bbox: 0.485669 loss_dfl: 0.459447 loss: 2.078072 eta: 18:20:56 batch_cost: 0.7735 data_cost: 0.2341 ips: 82.7386 images/s
[03/19 02:37:01] ppdet.engine INFO: Epoch: [130] [160/458] learning_rate: 0.193302 loss_vfl: 1.076932 loss_bbox: 0.514749 loss_dfl: 0.451944 loss: 2.066003 eta: 18:20:38 batch_cost: 0.7926 data_cost: 0.3737 ips: 80.7480 images/s
[03/19 02:37:21] ppdet.engine INFO: Epoch: [130] [180/458] learning_rate: 0.193230 loss_vfl: 1.108069 loss_bbox: 0.503114 loss_dfl: 0.449285 loss: 2.069560 eta: 18:20:20 batch_cost: 0.8151 data_cost: 0.2353 ips: 78.5198 images/s
[03/19 02:37:43] ppdet.engine INFO: Epoch: [130] [200/458] learning_rate: 0.193158 loss_vfl: 1.127203 loss_bbox: 0.483208 loss_dfl: 0.442706 loss: 2.058059 eta: 18:20:06 batch_cost: 0.9858 data_cost: 0.4357 ips: 64.9238 images/s
[03/19 02:38:03] ppdet.engine INFO: Epoch: [130] [220/458] learning_rate: 0.193087 loss_vfl: 1.014360 loss_bbox: 0.458505 loss_dfl: 0.423140 loss: 1.868777 eta: 18:19:51 batch_cost: 0.9155 data_cost: 0.3775 ips: 69.9109 images/s
[03/19 02:38:21] ppdet.engine INFO: Epoch: [130] [240/458] learning_rate: 0.193015 loss_vfl: 1.058474 loss_bbox: 0.467267 loss_dfl: 0.433526 loss: 1.966211 eta: 18:19:31 batch_cost: 0.7413 data_cost: 0.1987 ips: 86.3368 images/s
[03/19 02:38:41] ppdet.engine INFO: Epoch: [130] [260/458] learning_rate: 0.192943 loss_vfl: 1.105928 loss_bbox: 0.499729 loss_dfl: 0.450299 loss: 2.033154 eta: 18:19:16 batch_cost: 0.9105 data_cost: 0.3119 ips: 70.2906 images/s
[03/19 02:39:01] ppdet.engine INFO: Epoch: [130] [280/458] learning_rate: 0.192871 loss_vfl: 1.087934 loss_bbox: 0.495791 loss_dfl: 0.446427 loss: 2.016440 eta: 18:18:59 batch_cost: 0.8552 data_cost: 0.0062 ips: 74.8379 images/s
[03/19 02:39:21] ppdet.engine INFO: Epoch: [130] [300/458] learning_rate: 0.192800 loss_vfl: 1.055346 loss_bbox: 0.463448 loss_dfl: 0.433136 loss: 1.957147 eta: 18:18:42 batch_cost: 0.8648 data_cost: 0.0465 ips: 74.0094 images/s
[03/19 02:39:42] ppdet.engine INFO: Epoch: [130] [320/458] learning_rate: 0.192728 loss_vfl: 1.092613 loss_bbox: 0.489279 loss_dfl: 0.445704 loss: 2.034163 eta: 18:18:28 batch_cost: 0.9409 data_cost: 0.5202 ips: 68.0174 images/s
[03/19 02:40:02] ppdet.engine INFO: Epoch: [130] [340/458] learning_rate: 0.192656 loss_vfl: 1.076856 loss_bbox: 0.484147 loss_dfl: 0.442155 loss: 1.995229 eta: 18:18:13 batch_cost: 0.9479 data_cost: 0.4559 ips: 67.5209 images/s
[03/19 02:40:23] ppdet.engine INFO: Epoch: [130] [360/458] learning_rate: 0.192584 loss_vfl: 1.062734 loss_bbox: 0.477850 loss_dfl: 0.448399 loss: 1.989176 eta: 18:17:58 batch_cost: 0.9222 data_cost: 0.4229 ips: 69.3976 images/s
[03/19 02:40:43] ppdet.engine INFO: Epoch: [130] [380/458] learning_rate: 0.192512 loss_vfl: 1.076825 loss_bbox: 0.510014 loss_dfl: 0.463489 loss: 2.071173 eta: 18:17:41 batch_cost: 0.8625 data_cost: 0.3448 ips: 74.1988 images/s
[03/19 02:40:59] ppdet.engine INFO: Epoch: [130] [400/458] learning_rate: 0.192441 loss_vfl: 1.028275 loss_bbox: 0.450431 loss_dfl: 0.422610 loss: 1.901393 eta: 18:17:20 batch_cost: 0.6899 data_cost: 0.1623 ips: 92.7666 images/s
[03/19 02:41:15] ppdet.engine INFO: Epoch: [130] [420/458] learning_rate: 0.192369 loss_vfl: 1.093440 loss_bbox: 0.482907 loss_dfl: 0.441865 loss: 2.048925 eta: 18:17:01 batch_cost: 0.7679 data_cost: 0.3314 ips: 83.3460 images/s
[03/19 02:41:30] ppdet.engine INFO: Epoch: [130] [440/458] learning_rate: 0.192297 loss_vfl: 1.111702 loss_bbox: 0.476945 loss_dfl: 0.441893 loss: 2.030489 eta: 18:16:39 batch_cost: 0.6541 data_cost: 0.1965 ips: 97.8389 images/s
[03/19 02:41:49] ppdet.engine INFO: Epoch: [131] [  0/458] learning_rate: 0.192232 loss_vfl: 1.086446 loss_bbox: 0.468347 loss_dfl: 0.443999 loss: 2.017789 eta: 18:16:25 batch_cost: 0.8576 data_cost: 0.3531 ips: 74.6249 images/s
[03/19 02:42:08] ppdet.engine INFO: Epoch: [131] [ 20/458] learning_rate: 0.192160 loss_vfl: 1.082870 loss_bbox: 0.476413 loss_dfl: 0.433388 loss: 1.982734 eta: 18:16:06 batch_cost: 0.7983 data_cost: 0.1781 ips: 80.1713 images/s
[03/19 02:42:27] ppdet.engine INFO: Epoch: [131] [ 40/458] learning_rate: 0.192089 loss_vfl: 1.099728 loss_bbox: 0.498730 loss_dfl: 0.470006 loss: 2.071883 eta: 18:15:49 batch_cost: 0.8417 data_cost: 0.3056 ips: 76.0332 images/s
[03/19 02:42:46] ppdet.engine INFO: Epoch: [131] [ 60/458] learning_rate: 0.192017 loss_vfl: 1.037920 loss_bbox: 0.476590 loss_dfl: 0.433864 loss: 1.974086 eta: 18:15:32 batch_cost: 0.8325 data_cost: 0.2683 ips: 76.8813 images/s
[03/19 02:43:04] ppdet.engine INFO: Epoch: [131] [ 80/458] learning_rate: 0.191945 loss_vfl: 1.093893 loss_bbox: 0.509296 loss_dfl: 0.465069 loss: 2.078719 eta: 18:15:13 batch_cost: 0.7651 data_cost: 0.2357 ips: 83.6538 images/s
[03/19 02:43:26] ppdet.engine INFO: Epoch: [131] [100/458] learning_rate: 0.191873 loss_vfl: 1.068009 loss_bbox: 0.481296 loss_dfl: 0.436261 loss: 1.983807 eta: 18:15:01 batch_cost: 1.0435 data_cost: 0.4352 ips: 61.3324 images/s
[03/19 02:43:48] ppdet.engine INFO: Epoch: [131] [120/458] learning_rate: 0.191801 loss_vfl: 1.086116 loss_bbox: 0.487894 loss_dfl: 0.452639 loss: 2.051765 eta: 18:14:48 batch_cost: 1.0121 data_cost: 0.3510 ips: 63.2318 images/s
[03/19 02:44:07] ppdet.engine INFO: Epoch: [131] [140/458] learning_rate: 0.191729 loss_vfl: 1.096626 loss_bbox: 0.501081 loss_dfl: 0.461271 loss: 2.079051 eta: 18:14:30 batch_cost: 0.8186 data_cost: 0.2634 ips: 78.1870 images/s
[03/19 02:44:26] ppdet.engine INFO: Epoch: [131] [160/458] learning_rate: 0.191658 loss_vfl: 1.072989 loss_bbox: 0.491800 loss_dfl: 0.448428 loss: 2.019707 eta: 18:14:12 batch_cost: 0.8052 data_cost: 0.1928 ips: 79.4877 images/s
[03/19 02:44:45] ppdet.engine INFO: Epoch: [131] [180/458] learning_rate: 0.191586 loss_vfl: 1.074211 loss_bbox: 0.486605 loss_dfl: 0.446460 loss: 1.997750 eta: 18:13:54 batch_cost: 0.8249 data_cost: 0.2398 ips: 77.5808 images/s
[03/19 02:45:04] ppdet.engine INFO: Epoch: [131] [200/458] learning_rate: 0.191514 loss_vfl: 1.076837 loss_bbox: 0.498688 loss_dfl: 0.454382 loss: 2.052820 eta: 18:13:35 batch_cost: 0.7646 data_cost: 0.0049 ips: 83.7012 images/s
[03/19 02:45:22] ppdet.engine INFO: Epoch: [131] [220/458] learning_rate: 0.191442 loss_vfl: 1.049553 loss_bbox: 0.471298 loss_dfl: 0.444310 loss: 1.983490 eta: 18:13:17 batch_cost: 0.8218 data_cost: 0.0328 ips: 77.8788 images/s
[03/19 02:45:43] ppdet.engine INFO: Epoch: [131] [240/458] learning_rate: 0.191370 loss_vfl: 1.095961 loss_bbox: 0.489937 loss_dfl: 0.446283 loss: 2.033631 eta: 18:13:01 batch_cost: 0.8937 data_cost: 0.0028 ips: 71.6092 images/s
[03/19 02:46:01] ppdet.engine INFO: Epoch: [131] [260/458] learning_rate: 0.191298 loss_vfl: 1.099022 loss_bbox: 0.476413 loss_dfl: 0.440388 loss: 2.005921 eta: 18:12:43 batch_cost: 0.7891 data_cost: 0.0100 ips: 81.1044 images/s
[03/19 02:46:20] ppdet.engine INFO: Epoch: [131] [280/458] learning_rate: 0.191226 loss_vfl: 1.095481 loss_bbox: 0.511341 loss_dfl: 0.456974 loss: 2.073928 eta: 18:12:24 batch_cost: 0.7757 data_cost: 0.0032 ips: 82.5057 images/s
[03/19 02:46:40] ppdet.engine INFO: Epoch: [131] [300/458] learning_rate: 0.191154 loss_vfl: 1.099615 loss_bbox: 0.475838 loss_dfl: 0.438790 loss: 2.014044 eta: 18:12:09 batch_cost: 0.9149 data_cost: 0.1290 ips: 69.9543 images/s
[03/19 02:46:59] ppdet.engine INFO: Epoch: [131] [320/458] learning_rate: 0.191082 loss_vfl: 1.017826 loss_bbox: 0.472012 loss_dfl: 0.421581 loss: 1.914249 eta: 18:11:51 batch_cost: 0.8349 data_cost: 0.2577 ips: 76.6558 images/s
[03/19 02:47:20] ppdet.engine INFO: Epoch: [131] [340/458] learning_rate: 0.191010 loss_vfl: 1.052602 loss_bbox: 0.479665 loss_dfl: 0.437938 loss: 1.966954 eta: 18:11:35 batch_cost: 0.8768 data_cost: 0.2563 ips: 72.9963 images/s
[03/19 02:47:35] ppdet.engine INFO: Epoch: [131] [360/458] learning_rate: 0.190938 loss_vfl: 1.074731 loss_bbox: 0.495687 loss_dfl: 0.445070 loss: 2.018769 eta: 18:11:13 batch_cost: 0.6629 data_cost: 0.0867 ips: 96.5483 images/s
[03/19 02:47:56] ppdet.engine INFO: Epoch: [131] [380/458] learning_rate: 0.190866 loss_vfl: 1.076905 loss_bbox: 0.480630 loss_dfl: 0.435858 loss: 1.985219 eta: 18:10:59 batch_cost: 0.9566 data_cost: 0.4405 ips: 66.9051 images/s
[03/19 02:48:14] ppdet.engine INFO: Epoch: [131] [400/458] learning_rate: 0.190795 loss_vfl: 1.048192 loss_bbox: 0.445069 loss_dfl: 0.428724 loss: 1.909517 eta: 18:10:41 batch_cost: 0.8207 data_cost: 0.3270 ips: 77.9782 images/s
[03/19 02:48:30] ppdet.engine INFO: Epoch: [131] [420/458] learning_rate: 0.190723 loss_vfl: 1.098609 loss_bbox: 0.499730 loss_dfl: 0.456768 loss: 2.061824 eta: 18:10:21 batch_cost: 0.7075 data_cost: 0.2429 ips: 90.4644 images/s
[03/19 02:48:45] ppdet.engine INFO: Epoch: [131] [440/458] learning_rate: 0.190651 loss_vfl: 1.053239 loss_bbox: 0.454106 loss_dfl: 0.421364 loss: 1.934827 eta: 18:09:59 batch_cost: 0.6616 data_cost: 0.1493 ips: 96.7342 images/s
[03/19 02:49:03] ppdet.engine INFO: Epoch: [132] [  0/458] learning_rate: 0.190586 loss_vfl: 1.041092 loss_bbox: 0.466403 loss_dfl: 0.424616 loss: 1.935868 eta: 18:09:44 batch_cost: 0.8329 data_cost: 0.4495 ips: 76.8381 images/s
[03/19 02:49:22] ppdet.engine INFO: Epoch: [132] [ 20/458] learning_rate: 0.190514 loss_vfl: 1.032547 loss_bbox: 0.472604 loss_dfl: 0.429060 loss: 1.923295 eta: 18:09:27 batch_cost: 0.8509 data_cost: 0.0029 ips: 75.2163 images/s
[03/19 02:49:42] ppdet.engine INFO: Epoch: [132] [ 40/458] learning_rate: 0.190442 loss_vfl: 1.061983 loss_bbox: 0.489116 loss_dfl: 0.443088 loss: 2.029139 eta: 18:09:11 batch_cost: 0.8840 data_cost: 0.0849 ips: 72.3957 images/s
[03/19 02:50:02] ppdet.engine INFO: Epoch: [132] [ 60/458] learning_rate: 0.190370 loss_vfl: 1.035159 loss_bbox: 0.457281 loss_dfl: 0.418779 loss: 1.918518 eta: 18:08:54 batch_cost: 0.8803 data_cost: 0.0061 ips: 72.6989 images/s
[03/19 02:50:21] ppdet.engine INFO: Epoch: [132] [ 80/458] learning_rate: 0.190298 loss_vfl: 1.076616 loss_bbox: 0.476669 loss_dfl: 0.435757 loss: 1.995528 eta: 18:08:36 batch_cost: 0.8086 data_cost: 0.0662 ips: 79.1445 images/s
[03/19 02:50:40] ppdet.engine INFO: Epoch: [132] [100/458] learning_rate: 0.190226 loss_vfl: 1.119721 loss_bbox: 0.497349 loss_dfl: 0.451905 loss: 2.068380 eta: 18:08:19 batch_cost: 0.8403 data_cost: 0.1083 ips: 76.1635 images/s
[03/19 02:51:00] ppdet.engine INFO: Epoch: [132] [120/458] learning_rate: 0.190154 loss_vfl: 1.082966 loss_bbox: 0.474112 loss_dfl: 0.450513 loss: 2.013527 eta: 18:08:04 batch_cost: 0.9182 data_cost: 0.1520 ips: 69.7021 images/s
[03/19 02:51:18] ppdet.engine INFO: Epoch: [132] [140/458] learning_rate: 0.190082 loss_vfl: 1.074841 loss_bbox: 0.474608 loss_dfl: 0.430190 loss: 1.968466 eta: 18:07:44 batch_cost: 0.7533 data_cost: 0.0207 ips: 84.9607 images/s
[03/19 02:51:40] ppdet.engine INFO: Epoch: [132] [160/458] learning_rate: 0.190010 loss_vfl: 1.058365 loss_bbox: 0.474769 loss_dfl: 0.453188 loss: 1.984831 eta: 18:07:31 batch_cost: 0.9873 data_cost: 0.1661 ips: 64.8245 images/s
[03/19 02:51:59] ppdet.engine INFO: Epoch: [132] [180/458] learning_rate: 0.189938 loss_vfl: 1.104957 loss_bbox: 0.506018 loss_dfl: 0.460978 loss: 2.052409 eta: 18:07:12 batch_cost: 0.7686 data_cost: 0.0223 ips: 83.2718 images/s
[03/19 02:52:18] ppdet.engine INFO: Epoch: [132] [200/458] learning_rate: 0.189866 loss_vfl: 1.106135 loss_bbox: 0.488975 loss_dfl: 0.459923 loss: 2.079792 eta: 18:06:54 batch_cost: 0.8280 data_cost: 0.0830 ips: 77.2966 images/s
[03/19 02:52:37] ppdet.engine INFO: Epoch: [132] [220/458] learning_rate: 0.189794 loss_vfl: 1.042123 loss_bbox: 0.471864 loss_dfl: 0.433011 loss: 1.962150 eta: 18:06:36 batch_cost: 0.8129 data_cost: 0.1817 ips: 78.7337 images/s
[03/19 02:52:55] ppdet.engine INFO: Epoch: [132] [240/458] learning_rate: 0.189722 loss_vfl: 1.067182 loss_bbox: 0.472010 loss_dfl: 0.434075 loss: 1.940760 eta: 18:06:18 batch_cost: 0.7975 data_cost: 0.0108 ips: 80.2528 images/s
[03/19 02:53:15] ppdet.engine INFO: Epoch: [132] [260/458] learning_rate: 0.189650 loss_vfl: 1.072136 loss_bbox: 0.491613 loss_dfl: 0.437633 loss: 1.962549 eta: 18:06:01 batch_cost: 0.8339 data_cost: 0.0447 ips: 76.7498 images/s
[03/19 02:53:34] ppdet.engine INFO: Epoch: [132] [280/458] learning_rate: 0.189578 loss_vfl: 1.085405 loss_bbox: 0.514090 loss_dfl: 0.461172 loss: 2.064410 eta: 18:05:43 batch_cost: 0.8155 data_cost: 0.1736 ips: 78.4814 images/s
[03/19 02:53:53] ppdet.engine INFO: Epoch: [132] [300/458] learning_rate: 0.189505 loss_vfl: 1.039813 loss_bbox: 0.454282 loss_dfl: 0.416615 loss: 1.888235 eta: 18:05:26 batch_cost: 0.8652 data_cost: 0.1034 ips: 73.9740 images/s
[03/19 02:54:13] ppdet.engine INFO: Epoch: [132] [320/458] learning_rate: 0.189433 loss_vfl: 1.086529 loss_bbox: 0.509528 loss_dfl: 0.454260 loss: 2.048894 eta: 18:05:08 batch_cost: 0.8062 data_cost: 0.0027 ips: 79.3862 images/s
[03/19 02:54:31] ppdet.engine INFO: Epoch: [132] [340/458] learning_rate: 0.189361 loss_vfl: 1.051171 loss_bbox: 0.485450 loss_dfl: 0.444095 loss: 1.979428 eta: 18:04:49 batch_cost: 0.7491 data_cost: 0.0898 ips: 85.4343 images/s
[03/19 02:54:50] ppdet.engine INFO: Epoch: [132] [360/458] learning_rate: 0.189289 loss_vfl: 1.048666 loss_bbox: 0.469483 loss_dfl: 0.429923 loss: 1.942348 eta: 18:04:31 batch_cost: 0.8196 data_cost: 0.0667 ips: 78.0906 images/s
[03/19 02:55:10] ppdet.engine INFO: Epoch: [132] [380/458] learning_rate: 0.189217 loss_vfl: 1.046916 loss_bbox: 0.480467 loss_dfl: 0.430046 loss: 1.927950 eta: 18:04:14 batch_cost: 0.8587 data_cost: 0.0025 ips: 74.5305 images/s
[03/19 02:55:26] ppdet.engine INFO: Epoch: [132] [400/458] learning_rate: 0.189145 loss_vfl: 1.092876 loss_bbox: 0.485017 loss_dfl: 0.459049 loss: 2.031914 eta: 18:03:51 batch_cost: 0.6246 data_cost: 0.0345 ips: 102.4676 images/s
[03/19 02:55:42] ppdet.engine INFO: Epoch: [132] [420/458] learning_rate: 0.189073 loss_vfl: 1.061721 loss_bbox: 0.470155 loss_dfl: 0.433690 loss: 1.970294 eta: 18:03:32 batch_cost: 0.7513 data_cost: 0.0015 ips: 85.1900 images/s
[03/19 02:55:59] ppdet.engine INFO: Epoch: [132] [440/458] learning_rate: 0.189001 loss_vfl: 1.128762 loss_bbox: 0.507506 loss_dfl: 0.471134 loss: 2.112087 eta: 18:03:12 batch_cost: 0.7397 data_cost: 0.0011 ips: 86.5236 images/s
[03/19 02:56:18] ppdet.engine INFO: Epoch: [133] [  0/458] learning_rate: 0.188936 loss_vfl: 1.036921 loss_bbox: 0.480834 loss_dfl: 0.446937 loss: 1.964692 eta: 18:03:00 batch_cost: 1.0382 data_cost: 0.3113 ips: 61.6433 images/s
[03/19 02:56:36] ppdet.engine INFO: Epoch: [133] [ 20/458] learning_rate: 0.188864 loss_vfl: 1.099314 loss_bbox: 0.480343 loss_dfl: 0.450711 loss: 2.042010 eta: 18:02:40 batch_cost: 0.7515 data_cost: 0.1078 ips: 85.1662 images/s
[03/19 02:56:56] ppdet.engine INFO: Epoch: [133] [ 40/458] learning_rate: 0.188792 loss_vfl: 1.076817 loss_bbox: 0.475989 loss_dfl: 0.447288 loss: 2.031673 eta: 18:02:24 batch_cost: 0.8863 data_cost: 0.1658 ips: 72.2141 images/s
[03/19 02:57:16] ppdet.engine INFO: Epoch: [133] [ 60/458] learning_rate: 0.188720 loss_vfl: 1.093668 loss_bbox: 0.483435 loss_dfl: 0.444449 loss: 2.015979 eta: 18:02:09 batch_cost: 0.9221 data_cost: 0.3599 ips: 69.4091 images/s
[03/19 02:57:36] ppdet.engine INFO: Epoch: [133] [ 80/458] learning_rate: 0.188647 loss_vfl: 1.096148 loss_bbox: 0.489373 loss_dfl: 0.451952 loss: 2.039545 eta: 18:01:53 batch_cost: 0.8727 data_cost: 0.3130 ips: 73.3333 images/s
[03/19 02:57:55] ppdet.engine INFO: Epoch: [133] [100/458] learning_rate: 0.188575 loss_vfl: 1.110244 loss_bbox: 0.489042 loss_dfl: 0.448422 loss: 2.032203 eta: 18:01:36 batch_cost: 0.8715 data_cost: 0.2076 ips: 73.4358 images/s
[03/19 02:58:12] ppdet.engine INFO: Epoch: [133] [120/458] learning_rate: 0.188503 loss_vfl: 1.025714 loss_bbox: 0.462772 loss_dfl: 0.421517 loss: 1.907716 eta: 18:01:16 batch_cost: 0.7267 data_cost: 0.1431 ips: 88.0744 images/s
[03/19 02:58:33] ppdet.engine INFO: Epoch: [133] [140/458] learning_rate: 0.188431 loss_vfl: 1.059187 loss_bbox: 0.478368 loss_dfl: 0.431917 loss: 1.964797 eta: 18:01:01 batch_cost: 0.9245 data_cost: 0.2756 ips: 69.2238 images/s
[03/19 02:58:53] ppdet.engine INFO: Epoch: [133] [160/458] learning_rate: 0.188359 loss_vfl: 1.078009 loss_bbox: 0.483730 loss_dfl: 0.454979 loss: 2.009644 eta: 18:00:45 batch_cost: 0.8959 data_cost: 0.3366 ips: 71.4384 images/s
[03/19 02:59:14] ppdet.engine INFO: Epoch: [133] [180/458] learning_rate: 0.188287 loss_vfl: 1.097780 loss_bbox: 0.484668 loss_dfl: 0.465240 loss: 2.078738 eta: 18:00:31 batch_cost: 0.9669 data_cost: 0.4106 ips: 66.1900 images/s
[03/19 02:59:33] ppdet.engine INFO: Epoch: [133] [200/458] learning_rate: 0.188214 loss_vfl: 1.096547 loss_bbox: 0.492268 loss_dfl: 0.447726 loss: 2.056679 eta: 18:00:14 batch_cost: 0.8350 data_cost: 0.2570 ips: 76.6457 images/s
[03/19 02:59:52] ppdet.engine INFO: Epoch: [133] [220/458] learning_rate: 0.188142 loss_vfl: 1.091458 loss_bbox: 0.481442 loss_dfl: 0.445435 loss: 2.032714 eta: 17:59:56 batch_cost: 0.8419 data_cost: 0.2984 ips: 76.0151 images/s
[03/19 03:00:14] ppdet.engine INFO: Epoch: [133] [240/458] learning_rate: 0.188070 loss_vfl: 1.077301 loss_bbox: 0.500281 loss_dfl: 0.447253 loss: 2.006001 eta: 17:59:44 batch_cost: 1.0465 data_cost: 0.4400 ips: 61.1570 images/s
[03/19 03:00:32] ppdet.engine INFO: Epoch: [133] [260/458] learning_rate: 0.187998 loss_vfl: 1.085997 loss_bbox: 0.487839 loss_dfl: 0.453320 loss: 2.030538 eta: 17:59:25 batch_cost: 0.7390 data_cost: 0.2181 ips: 86.6066 images/s
[03/19 03:00:52] ppdet.engine INFO: Epoch: [133] [280/458] learning_rate: 0.187926 loss_vfl: 1.099311 loss_bbox: 0.492256 loss_dfl: 0.458290 loss: 2.041475 eta: 17:59:07 batch_cost: 0.8243 data_cost: 0.1061 ips: 77.6399 images/s
[03/19 03:01:10] ppdet.engine INFO: Epoch: [133] [300/458] learning_rate: 0.187854 loss_vfl: 1.096015 loss_bbox: 0.480910 loss_dfl: 0.455049 loss: 2.029566 eta: 17:58:49 batch_cost: 0.8015 data_cost: 0.0127 ips: 79.8460 images/s
[03/19 03:01:30] ppdet.engine INFO: Epoch: [133] [320/458] learning_rate: 0.187781 loss_vfl: 1.146874 loss_bbox: 0.495785 loss_dfl: 0.458800 loss: 2.114069 eta: 17:58:32 batch_cost: 0.8568 data_cost: 0.1779 ips: 74.6958 images/s
[03/19 03:01:50] ppdet.engine INFO: Epoch: [133] [340/458] learning_rate: 0.187709 loss_vfl: 1.118222 loss_bbox: 0.491554 loss_dfl: 0.454666 loss: 2.056256 eta: 17:58:16 batch_cost: 0.9029 data_cost: 0.3858 ips: 70.8790 images/s
[03/19 03:02:09] ppdet.engine INFO: Epoch: [133] [360/458] learning_rate: 0.187637 loss_vfl: 1.040829 loss_bbox: 0.474001 loss_dfl: 0.432053 loss: 1.947291 eta: 17:57:59 batch_cost: 0.8359 data_cost: 0.3332 ips: 76.5600 images/s
[03/19 03:02:31] ppdet.engine INFO: Epoch: [133] [380/458] learning_rate: 0.187565 loss_vfl: 1.064040 loss_bbox: 0.478530 loss_dfl: 0.442470 loss: 1.986425 eta: 17:57:45 batch_cost: 0.9739 data_cost: 0.4281 ips: 65.7176 images/s
[03/19 03:02:49] ppdet.engine INFO: Epoch: [133] [400/458] learning_rate: 0.187492 loss_vfl: 1.068108 loss_bbox: 0.494310 loss_dfl: 0.455046 loss: 2.007662 eta: 17:57:27 batch_cost: 0.7870 data_cost: 0.2479 ips: 81.3210 images/s
[03/19 03:03:06] ppdet.engine INFO: Epoch: [133] [420/458] learning_rate: 0.187420 loss_vfl: 1.079627 loss_bbox: 0.487310 loss_dfl: 0.443743 loss: 1.998275 eta: 17:57:06 batch_cost: 0.7233 data_cost: 0.2350 ips: 88.4782 images/s
[03/19 03:03:18] ppdet.engine INFO: Epoch: [133] [440/458] learning_rate: 0.187348 loss_vfl: 1.035843 loss_bbox: 0.496912 loss_dfl: 0.434397 loss: 1.964434 eta: 17:56:41 batch_cost: 0.5256 data_cost: 0.0974 ips: 121.7689 images/s
[03/19 03:03:37] ppdet.engine INFO: Epoch: [134] [  0/458] learning_rate: 0.187283 loss_vfl: 1.058367 loss_bbox: 0.491998 loss_dfl: 0.440748 loss: 1.986424 eta: 17:56:27 batch_cost: 0.8530 data_cost: 0.3918 ips: 75.0288 images/s
[03/19 03:03:57] ppdet.engine INFO: Epoch: [134] [ 20/458] learning_rate: 0.187211 loss_vfl: 1.048631 loss_bbox: 0.476295 loss_dfl: 0.428579 loss: 1.939837 eta: 17:56:11 batch_cost: 0.8666 data_cost: 0.1060 ips: 73.8545 images/s
[03/19 03:04:17] ppdet.engine INFO: Epoch: [134] [ 40/458] learning_rate: 0.187138 loss_vfl: 1.073923 loss_bbox: 0.466709 loss_dfl: 0.441893 loss: 2.006555 eta: 17:55:55 batch_cost: 0.8785 data_cost: 0.1594 ips: 72.8499 images/s
[03/19 03:04:37] ppdet.engine INFO: Epoch: [134] [ 60/458] learning_rate: 0.187066 loss_vfl: 1.100458 loss_bbox: 0.524266 loss_dfl: 0.473256 loss: 2.104743 eta: 17:55:37 batch_cost: 0.8084 data_cost: 0.2741 ips: 79.1639 images/s
[03/19 03:04:58] ppdet.engine INFO: Epoch: [134] [ 80/458] learning_rate: 0.186994 loss_vfl: 1.013984 loss_bbox: 0.449935 loss_dfl: 0.430279 loss: 1.905041 eta: 17:55:23 batch_cost: 0.9903 data_cost: 0.4235 ips: 64.6237 images/s
[03/19 03:05:17] ppdet.engine INFO: Epoch: [134] [100/458] learning_rate: 0.186922 loss_vfl: 1.046033 loss_bbox: 0.472077 loss_dfl: 0.437452 loss: 1.956177 eta: 17:55:04 batch_cost: 0.7817 data_cost: 0.2186 ips: 81.8732 images/s
[03/19 03:05:36] ppdet.engine INFO: Epoch: [134] [120/458] learning_rate: 0.186849 loss_vfl: 1.075589 loss_bbox: 0.461023 loss_dfl: 0.437195 loss: 1.969370 eta: 17:54:48 batch_cost: 0.8595 data_cost: 0.3634 ips: 74.4606 images/s
[03/19 03:05:56] ppdet.engine INFO: Epoch: [134] [140/458] learning_rate: 0.186777 loss_vfl: 1.048503 loss_bbox: 0.472870 loss_dfl: 0.439654 loss: 1.970421 eta: 17:54:31 batch_cost: 0.8560 data_cost: 0.1984 ips: 74.7680 images/s
[03/19 03:06:16] ppdet.engine INFO: Epoch: [134] [160/458] learning_rate: 0.186705 loss_vfl: 1.087521 loss_bbox: 0.492964 loss_dfl: 0.455530 loss: 2.025508 eta: 17:54:14 batch_cost: 0.8534 data_cost: 0.2447 ips: 74.9899 images/s
[03/19 03:06:38] ppdet.engine INFO: Epoch: [134] [180/458] learning_rate: 0.186632 loss_vfl: 1.066881 loss_bbox: 0.473409 loss_dfl: 0.446625 loss: 1.985866 eta: 17:53:59 batch_cost: 0.9489 data_cost: 0.3486 ips: 67.4481 images/s
[03/19 03:06:54] ppdet.engine INFO: Epoch: [134] [200/458] learning_rate: 0.186560 loss_vfl: 1.053353 loss_bbox: 0.504778 loss_dfl: 0.450201 loss: 2.027279 eta: 17:53:38 batch_cost: 0.6856 data_cost: 0.0910 ips: 93.3555 images/s
[03/19 03:07:15] ppdet.engine INFO: Epoch: [134] [220/458] learning_rate: 0.186488 loss_vfl: 1.116339 loss_bbox: 0.500763 loss_dfl: 0.459302 loss: 2.077068 eta: 17:53:22 batch_cost: 0.8931 data_cost: 0.0016 ips: 71.6600 images/s
[03/19 03:07:34] ppdet.engine INFO: Epoch: [134] [240/458] learning_rate: 0.186415 loss_vfl: 1.065835 loss_bbox: 0.483196 loss_dfl: 0.437018 loss: 1.988989 eta: 17:53:05 batch_cost: 0.8374 data_cost: 0.1484 ips: 76.4296 images/s
[03/19 03:07:53] ppdet.engine INFO: Epoch: [134] [260/458] learning_rate: 0.186343 loss_vfl: 1.068502 loss_bbox: 0.491095 loss_dfl: 0.445353 loss: 2.006783 eta: 17:52:48 batch_cost: 0.8538 data_cost: 0.0413 ips: 74.9551 images/s
[03/19 03:08:11] ppdet.engine INFO: Epoch: [134] [280/458] learning_rate: 0.186271 loss_vfl: 1.070346 loss_bbox: 0.494480 loss_dfl: 0.448221 loss: 2.022391 eta: 17:52:29 batch_cost: 0.7570 data_cost: 0.1912 ips: 84.5450 images/s
[03/19 03:08:28] ppdet.engine INFO: Epoch: [134] [300/458] learning_rate: 0.186198 loss_vfl: 1.009997 loss_bbox: 0.457651 loss_dfl: 0.407980 loss: 1.832442 eta: 17:52:09 batch_cost: 0.7309 data_cost: 0.0264 ips: 87.5608 images/s
[03/19 03:08:50] ppdet.engine INFO: Epoch: [134] [320/458] learning_rate: 0.186126 loss_vfl: 1.065767 loss_bbox: 0.481995 loss_dfl: 0.434915 loss: 1.964453 eta: 17:51:54 batch_cost: 0.9261 data_cost: 0.0955 ips: 69.1054 images/s
[03/19 03:09:08] ppdet.engine INFO: Epoch: [134] [340/458] learning_rate: 0.186054 loss_vfl: 1.085555 loss_bbox: 0.475532 loss_dfl: 0.436999 loss: 1.999655 eta: 17:51:35 batch_cost: 0.7913 data_cost: 0.0028 ips: 80.8826 images/s
[03/19 03:09:29] ppdet.engine INFO: Epoch: [134] [360/458] learning_rate: 0.185981 loss_vfl: 1.089712 loss_bbox: 0.489901 loss_dfl: 0.450377 loss: 2.041789 eta: 17:51:21 batch_cost: 0.9367 data_cost: 0.2067 ips: 68.3246 images/s
[03/19 03:09:47] ppdet.engine INFO: Epoch: [134] [380/458] learning_rate: 0.185909 loss_vfl: 1.054450 loss_bbox: 0.450883 loss_dfl: 0.430910 loss: 1.924286 eta: 17:51:03 batch_cost: 0.8054 data_cost: 0.0852 ips: 79.4597 images/s
[03/19 03:10:08] ppdet.engine INFO: Epoch: [134] [400/458] learning_rate: 0.185837 loss_vfl: 1.043695 loss_bbox: 0.491700 loss_dfl: 0.439061 loss: 1.983156 eta: 17:50:48 batch_cost: 0.9648 data_cost: 0.0096 ips: 66.3364 images/s
[03/19 03:10:24] ppdet.engine INFO: Epoch: [134] [420/458] learning_rate: 0.185764 loss_vfl: 1.063761 loss_bbox: 0.449909 loss_dfl: 0.421998 loss: 1.938191 eta: 17:50:28 batch_cost: 0.7123 data_cost: 0.0087 ips: 89.8542 images/s
[03/19 03:10:38] ppdet.engine INFO: Epoch: [134] [440/458] learning_rate: 0.185692 loss_vfl: 1.030883 loss_bbox: 0.474932 loss_dfl: 0.426957 loss: 1.899125 eta: 17:50:06 batch_cost: 0.6373 data_cost: 0.0015 ips: 100.4251 images/s
[03/19 03:10:56] ppdet.engine INFO: Epoch: [135] [  0/458] learning_rate: 0.185627 loss_vfl: 1.075781 loss_bbox: 0.470339 loss_dfl: 0.446411 loss: 1.992706 eta: 17:49:51 batch_cost: 0.8256 data_cost: 0.2930 ips: 77.5196 images/s
[03/19 03:11:16] ppdet.engine INFO: Epoch: [135] [ 20/458] learning_rate: 0.185554 loss_vfl: 1.086166 loss_bbox: 0.494079 loss_dfl: 0.444822 loss: 2.008727 eta: 17:49:35 batch_cost: 0.8681 data_cost: 0.1779 ips: 73.7210 images/s
[03/19 03:11:36] ppdet.engine INFO: Epoch: [135] [ 40/458] learning_rate: 0.185482 loss_vfl: 1.122096 loss_bbox: 0.479361 loss_dfl: 0.453589 loss: 2.061207 eta: 17:49:17 batch_cost: 0.8051 data_cost: 0.0016 ips: 79.4886 images/s
[03/19 03:11:56] ppdet.engine INFO: Epoch: [135] [ 60/458] learning_rate: 0.185410 loss_vfl: 1.072371 loss_bbox: 0.476754 loss_dfl: 0.440116 loss: 1.997890 eta: 17:49:01 batch_cost: 0.8902 data_cost: 0.0816 ips: 71.8980 images/s
[03/19 03:12:16] ppdet.engine INFO: Epoch: [135] [ 80/458] learning_rate: 0.185337 loss_vfl: 1.093944 loss_bbox: 0.509015 loss_dfl: 0.454369 loss: 2.039070 eta: 17:48:45 batch_cost: 0.9156 data_cost: 0.0324 ips: 69.8971 images/s
[03/19 03:12:35] ppdet.engine INFO: Epoch: [135] [100/458] learning_rate: 0.185265 loss_vfl: 1.074311 loss_bbox: 0.485181 loss_dfl: 0.448478 loss: 2.000415 eta: 17:48:26 batch_cost: 0.7706 data_cost: 0.0456 ips: 83.0478 images/s
[03/19 03:12:53] ppdet.engine INFO: Epoch: [135] [120/458] learning_rate: 0.185192 loss_vfl: 1.056068 loss_bbox: 0.478195 loss_dfl: 0.439673 loss: 1.968082 eta: 17:48:08 batch_cost: 0.8182 data_cost: 0.0279 ips: 78.2232 images/s
[03/19 03:13:16] ppdet.engine INFO: Epoch: [135] [140/458] learning_rate: 0.185120 loss_vfl: 1.055624 loss_bbox: 0.479747 loss_dfl: 0.441979 loss: 2.017063 eta: 17:47:55 batch_cost: 0.9992 data_cost: 0.1234 ips: 64.0499 images/s
[03/19 03:13:34] ppdet.engine INFO: Epoch: [135] [160/458] learning_rate: 0.185048 loss_vfl: 1.048886 loss_bbox: 0.480164 loss_dfl: 0.436719 loss: 1.968060 eta: 17:47:38 batch_cost: 0.8303 data_cost: 0.0004 ips: 77.0803 images/s
[03/19 03:13:54] ppdet.engine INFO: Epoch: [135] [180/458] learning_rate: 0.184975 loss_vfl: 1.034254 loss_bbox: 0.477556 loss_dfl: 0.443731 loss: 1.983286 eta: 17:47:21 batch_cost: 0.8701 data_cost: 0.0025 ips: 73.5572 images/s
[03/19 03:14:14] ppdet.engine INFO: Epoch: [135] [200/458] learning_rate: 0.184903 loss_vfl: 1.083855 loss_bbox: 0.478489 loss_dfl: 0.442087 loss: 1.986475 eta: 17:47:05 batch_cost: 0.8777 data_cost: 0.2154 ips: 72.9143 images/s
[03/19 03:14:34] ppdet.engine INFO: Epoch: [135] [220/458] learning_rate: 0.184830 loss_vfl: 1.054538 loss_bbox: 0.492195 loss_dfl: 0.433135 loss: 1.988562 eta: 17:46:49 batch_cost: 0.8752 data_cost: 0.2637 ips: 73.1288 images/s
[03/19 03:14:52] ppdet.engine INFO: Epoch: [135] [240/458] learning_rate: 0.184758 loss_vfl: 1.057988 loss_bbox: 0.478906 loss_dfl: 0.433170 loss: 1.978174 eta: 17:46:29 batch_cost: 0.7322 data_cost: 0.0431 ips: 87.4118 images/s
[03/19 03:15:13] ppdet.engine INFO: Epoch: [135] [260/458] learning_rate: 0.184685 loss_vfl: 1.091599 loss_bbox: 0.477199 loss_dfl: 0.442238 loss: 2.015472 eta: 17:46:13 batch_cost: 0.8853 data_cost: 0.2082 ips: 72.2903 images/s
[03/19 03:15:33] ppdet.engine INFO: Epoch: [135] [280/458] learning_rate: 0.184613 loss_vfl: 1.122012 loss_bbox: 0.477523 loss_dfl: 0.450064 loss: 2.061897 eta: 17:45:57 batch_cost: 0.9102 data_cost: 0.2648 ips: 70.3148 images/s
[03/19 03:15:53] ppdet.engine INFO: Epoch: [135] [300/458] learning_rate: 0.184541 loss_vfl: 0.978908 loss_bbox: 0.459576 loss_dfl: 0.421123 loss: 1.857691 eta: 17:45:39 batch_cost: 0.8099 data_cost: 0.0811 ips: 79.0232 images/s
[03/19 03:16:12] ppdet.engine INFO: Epoch: [135] [320/458] learning_rate: 0.184468 loss_vfl: 1.037070 loss_bbox: 0.451599 loss_dfl: 0.422841 loss: 1.912342 eta: 17:45:21 batch_cost: 0.8143 data_cost: 0.0472 ips: 78.5982 images/s
[03/19 03:16:32] ppdet.engine INFO: Epoch: [135] [340/458] learning_rate: 0.184396 loss_vfl: 1.084270 loss_bbox: 0.475119 loss_dfl: 0.440983 loss: 1.981945 eta: 17:45:05 batch_cost: 0.8825 data_cost: 0.1608 ips: 72.5252 images/s
[03/19 03:16:51] ppdet.engine INFO: Epoch: [135] [360/458] learning_rate: 0.184323 loss_vfl: 1.097618 loss_bbox: 0.491598 loss_dfl: 0.444652 loss: 2.012792 eta: 17:44:47 batch_cost: 0.8172 data_cost: 0.0013 ips: 78.3193 images/s
[03/19 03:17:09] ppdet.engine INFO: Epoch: [135] [380/458] learning_rate: 0.184251 loss_vfl: 0.994589 loss_bbox: 0.445287 loss_dfl: 0.411512 loss: 1.828963 eta: 17:44:29 batch_cost: 0.7961 data_cost: 0.1038 ips: 80.3966 images/s
[03/19 03:17:28] ppdet.engine INFO: Epoch: [135] [400/458] learning_rate: 0.184178 loss_vfl: 1.008523 loss_bbox: 0.453301 loss_dfl: 0.415382 loss: 1.873608 eta: 17:44:13 batch_cost: 0.8717 data_cost: 0.1872 ips: 73.4194 images/s
[03/19 03:17:44] ppdet.engine INFO: Epoch: [135] [420/458] learning_rate: 0.184106 loss_vfl: 1.094158 loss_bbox: 0.500511 loss_dfl: 0.439083 loss: 2.033060 eta: 17:43:52 batch_cost: 0.7118 data_cost: 0.1713 ips: 89.9120 images/s
[03/19 03:18:00] ppdet.engine INFO: Epoch: [135] [440/458] learning_rate: 0.184033 loss_vfl: 1.065134 loss_bbox: 0.478823 loss_dfl: 0.431890 loss: 1.967013 eta: 17:43:32 batch_cost: 0.6967 data_cost: 0.1075 ips: 91.8566 images/s
[03/19 03:18:17] ppdet.engine INFO: Epoch: [136] [  0/458] learning_rate: 0.183968 loss_vfl: 1.051443 loss_bbox: 0.472689 loss_dfl: 0.434770 loss: 1.952390 eta: 17:43:16 batch_cost: 0.8712 data_cost: 0.3750 ips: 73.4641 images/s
[03/19 03:18:38] ppdet.engine INFO: Epoch: [136] [ 20/458] learning_rate: 0.183895 loss_vfl: 1.066303 loss_bbox: 0.465566 loss_dfl: 0.432415 loss: 1.959340 eta: 17:43:01 batch_cost: 0.9098 data_cost: 0.2217 ips: 70.3471 images/s
[03/19 03:18:57] ppdet.engine INFO: Epoch: [136] [ 40/458] learning_rate: 0.183823 loss_vfl: 1.137703 loss_bbox: 0.506475 loss_dfl: 0.460800 loss: 2.109141 eta: 17:42:43 batch_cost: 0.8119 data_cost: 0.2695 ips: 78.8244 images/s
[03/19 03:19:19] ppdet.engine INFO: Epoch: [136] [ 60/458] learning_rate: 0.183750 loss_vfl: 1.090348 loss_bbox: 0.462089 loss_dfl: 0.446706 loss: 2.004807 eta: 17:42:30 batch_cost: 1.0210 data_cost: 0.5989 ips: 62.6861 images/s
[03/19 03:19:38] ppdet.engine INFO: Epoch: [136] [ 80/458] learning_rate: 0.183678 loss_vfl: 1.060111 loss_bbox: 0.471857 loss_dfl: 0.437948 loss: 1.967005 eta: 17:42:13 batch_cost: 0.8575 data_cost: 0.3062 ips: 74.6376 images/s
[03/19 03:19:56] ppdet.engine INFO: Epoch: [136] [100/458] learning_rate: 0.183605 loss_vfl: 1.049192 loss_bbox: 0.465434 loss_dfl: 0.437887 loss: 1.956590 eta: 17:41:55 batch_cost: 0.7806 data_cost: 0.1519 ips: 81.9885 images/s
[03/19 03:20:18] ppdet.engine INFO: Epoch: [136] [120/458] learning_rate: 0.183533 loss_vfl: 1.097883 loss_bbox: 0.481142 loss_dfl: 0.454142 loss: 2.040148 eta: 17:41:39 batch_cost: 0.9272 data_cost: 0.4109 ips: 69.0246 images/s
[03/19 03:20:35] ppdet.engine INFO: Epoch: [136] [140/458] learning_rate: 0.183460 loss_vfl: 1.051126 loss_bbox: 0.463600 loss_dfl: 0.437159 loss: 1.945356 eta: 17:41:20 batch_cost: 0.7434 data_cost: 0.3018 ips: 86.0911 images/s
[03/19 03:20:55] ppdet.engine INFO: Epoch: [136] [160/458] learning_rate: 0.183388 loss_vfl: 1.073906 loss_bbox: 0.476223 loss_dfl: 0.443087 loss: 1.994238 eta: 17:41:05 batch_cost: 0.9300 data_cost: 0.2942 ips: 68.8175 images/s
[03/19 03:21:14] ppdet.engine INFO: Epoch: [136] [180/458] learning_rate: 0.183315 loss_vfl: 1.072530 loss_bbox: 0.481195 loss_dfl: 0.433785 loss: 1.972227 eta: 17:40:48 batch_cost: 0.8460 data_cost: 0.3309 ips: 75.6539 images/s
[03/19 03:21:32] ppdet.engine INFO: Epoch: [136] [200/458] learning_rate: 0.183243 loss_vfl: 1.115396 loss_bbox: 0.494259 loss_dfl: 0.453982 loss: 2.056863 eta: 17:40:29 batch_cost: 0.7602 data_cost: 0.1796 ips: 84.1902 images/s
[03/19 03:21:53] ppdet.engine INFO: Epoch: [136] [220/458] learning_rate: 0.183170 loss_vfl: 1.068088 loss_bbox: 0.482490 loss_dfl: 0.438083 loss: 1.984886 eta: 17:40:13 batch_cost: 0.9161 data_cost: 0.3365 ips: 69.8630 images/s
[03/19 03:22:11] ppdet.engine INFO: Epoch: [136] [240/458] learning_rate: 0.183098 loss_vfl: 1.087477 loss_bbox: 0.486048 loss_dfl: 0.454377 loss: 2.027363 eta: 17:39:55 batch_cost: 0.8090 data_cost: 0.1976 ips: 79.1141 images/s
[03/19 03:22:31] ppdet.engine INFO: Epoch: [136] [260/458] learning_rate: 0.183025 loss_vfl: 1.055124 loss_bbox: 0.480665 loss_dfl: 0.436931 loss: 1.992754 eta: 17:39:39 batch_cost: 0.8616 data_cost: 0.2014 ips: 74.2788 images/s
[03/19 03:22:51] ppdet.engine INFO: Epoch: [136] [280/458] learning_rate: 0.182952 loss_vfl: 1.086363 loss_bbox: 0.487620 loss_dfl: 0.453809 loss: 1.994019 eta: 17:39:22 batch_cost: 0.8804 data_cost: 0.3406 ips: 72.6967 images/s
[03/19 03:23:10] ppdet.engine INFO: Epoch: [136] [300/458] learning_rate: 0.182880 loss_vfl: 1.027630 loss_bbox: 0.474698 loss_dfl: 0.430396 loss: 1.954187 eta: 17:39:05 batch_cost: 0.8272 data_cost: 0.2328 ips: 77.3729 images/s
[03/19 03:23:30] ppdet.engine INFO: Epoch: [136] [320/458] learning_rate: 0.182807 loss_vfl: 1.104599 loss_bbox: 0.479882 loss_dfl: 0.453007 loss: 2.036535 eta: 17:38:48 batch_cost: 0.8506 data_cost: 0.3191 ips: 75.2416 images/s
[03/19 03:23:50] ppdet.engine INFO: Epoch: [136] [340/458] learning_rate: 0.182735 loss_vfl: 1.109908 loss_bbox: 0.481758 loss_dfl: 0.442061 loss: 1.994012 eta: 17:38:30 batch_cost: 0.8295 data_cost: 0.1099 ips: 77.1552 images/s
[03/19 03:24:10] ppdet.engine INFO: Epoch: [136] [360/458] learning_rate: 0.182662 loss_vfl: 1.025233 loss_bbox: 0.466015 loss_dfl: 0.426207 loss: 1.920417 eta: 17:38:15 batch_cost: 0.9137 data_cost: 0.0749 ips: 70.0434 images/s
[03/19 03:24:30] ppdet.engine INFO: Epoch: [136] [380/458] learning_rate: 0.182590 loss_vfl: 1.111492 loss_bbox: 0.481450 loss_dfl: 0.443663 loss: 2.028033 eta: 17:37:58 batch_cost: 0.8644 data_cost: 0.2196 ips: 74.0368 images/s
[03/19 03:24:46] ppdet.engine INFO: Epoch: [136] [400/458] learning_rate: 0.182517 loss_vfl: 1.095981 loss_bbox: 0.463655 loss_dfl: 0.436369 loss: 2.021781 eta: 17:37:38 batch_cost: 0.6989 data_cost: 0.1273 ips: 91.5666 images/s
[03/19 03:25:01] ppdet.engine INFO: Epoch: [136] [420/458] learning_rate: 0.182444 loss_vfl: 1.093810 loss_bbox: 0.510342 loss_dfl: 0.456188 loss: 2.062235 eta: 17:37:16 batch_cost: 0.6599 data_cost: 0.1945 ips: 96.9829 images/s
[03/19 03:25:17] ppdet.engine INFO: Epoch: [136] [440/458] learning_rate: 0.182372 loss_vfl: 1.024273 loss_bbox: 0.466300 loss_dfl: 0.435048 loss: 1.920757 eta: 17:36:56 batch_cost: 0.7243 data_cost: 0.2069 ips: 88.3620 images/s
[03/19 03:25:35] ppdet.engine INFO: Epoch: [137] [  0/458] learning_rate: 0.182306 loss_vfl: 1.065685 loss_bbox: 0.460365 loss_dfl: 0.432409 loss: 1.957298 eta: 17:36:40 batch_cost: 0.7728 data_cost: 0.3679 ips: 82.8120 images/s
[03/19 03:25:55] ppdet.engine INFO: Epoch: [137] [ 20/458] learning_rate: 0.182234 loss_vfl: 1.010454 loss_bbox: 0.476476 loss_dfl: 0.427086 loss: 1.880793 eta: 17:36:24 batch_cost: 0.8774 data_cost: 0.1369 ips: 72.9412 images/s
[03/19 03:26:17] ppdet.engine INFO: Epoch: [137] [ 40/458] learning_rate: 0.182161 loss_vfl: 1.101203 loss_bbox: 0.487766 loss_dfl: 0.447932 loss: 2.055824 eta: 17:36:10 batch_cost: 0.9933 data_cost: 0.2329 ips: 64.4331 images/s
[03/19 03:26:35] ppdet.engine INFO: Epoch: [137] [ 60/458] learning_rate: 0.182089 loss_vfl: 1.067593 loss_bbox: 0.478176 loss_dfl: 0.440851 loss: 2.013706 eta: 17:35:51 batch_cost: 0.7350 data_cost: 0.1072 ips: 87.0713 images/s
[03/19 03:26:57] ppdet.engine INFO: Epoch: [137] [ 80/458] learning_rate: 0.182016 loss_vfl: 1.068615 loss_bbox: 0.486271 loss_dfl: 0.447665 loss: 1.987107 eta: 17:35:37 batch_cost: 0.9832 data_cost: 0.4199 ips: 65.0921 images/s
[03/19 03:27:15] ppdet.engine INFO: Epoch: [137] [100/458] learning_rate: 0.181943 loss_vfl: 1.117305 loss_bbox: 0.511570 loss_dfl: 0.459211 loss: 2.092968 eta: 17:35:19 batch_cost: 0.8115 data_cost: 0.2429 ips: 78.8643 images/s
[03/19 03:27:35] ppdet.engine INFO: Epoch: [137] [120/458] learning_rate: 0.181871 loss_vfl: 1.062383 loss_bbox: 0.479189 loss_dfl: 0.435893 loss: 1.970845 eta: 17:35:02 batch_cost: 0.8514 data_cost: 0.3105 ips: 75.1667 images/s
[03/19 03:27:55] ppdet.engine INFO: Epoch: [137] [140/458] learning_rate: 0.181798 loss_vfl: 1.058249 loss_bbox: 0.479088 loss_dfl: 0.436487 loss: 1.979591 eta: 17:34:47 batch_cost: 0.9239 data_cost: 0.2911 ips: 69.2685 images/s
[03/19 03:28:15] ppdet.engine INFO: Epoch: [137] [160/458] learning_rate: 0.181725 loss_vfl: 1.118136 loss_bbox: 0.505739 loss_dfl: 0.460067 loss: 2.092673 eta: 17:34:31 batch_cost: 0.8946 data_cost: 0.4012 ips: 71.5414 images/s
[03/19 03:28:35] ppdet.engine INFO: Epoch: [137] [180/458] learning_rate: 0.181653 loss_vfl: 1.058341 loss_bbox: 0.481950 loss_dfl: 0.442150 loss: 1.987579 eta: 17:34:14 batch_cost: 0.8659 data_cost: 0.3443 ips: 73.9081 images/s
[03/19 03:28:52] ppdet.engine INFO: Epoch: [137] [200/458] learning_rate: 0.181580 loss_vfl: 1.065814 loss_bbox: 0.477326 loss_dfl: 0.448029 loss: 1.986382 eta: 17:33:56 batch_cost: 0.8145 data_cost: 0.2606 ips: 78.5796 images/s
[03/19 03:29:15] ppdet.engine INFO: Epoch: [137] [220/458] learning_rate: 0.181507 loss_vfl: 1.140946 loss_bbox: 0.517330 loss_dfl: 0.470642 loss: 2.124186 eta: 17:33:44 batch_cost: 1.0426 data_cost: 0.5129 ips: 61.3866 images/s
[03/19 03:29:34] ppdet.engine INFO: Epoch: [137] [240/458] learning_rate: 0.181435 loss_vfl: 1.065419 loss_bbox: 0.481590 loss_dfl: 0.442105 loss: 1.992085 eta: 17:33:26 batch_cost: 0.8199 data_cost: 0.2299 ips: 78.0613 images/s
[03/19 03:29:53] ppdet.engine INFO: Epoch: [137] [260/458] learning_rate: 0.181362 loss_vfl: 1.076192 loss_bbox: 0.479709 loss_dfl: 0.445267 loss: 2.012289 eta: 17:33:09 batch_cost: 0.8147 data_cost: 0.1712 ips: 78.5613 images/s
[03/19 03:30:15] ppdet.engine INFO: Epoch: [137] [280/458] learning_rate: 0.181289 loss_vfl: 1.041794 loss_bbox: 0.467646 loss_dfl: 0.427185 loss: 1.931587 eta: 17:32:55 batch_cost: 0.9958 data_cost: 0.4250 ips: 64.2707 images/s
[03/19 03:30:31] ppdet.engine INFO: Epoch: [137] [300/458] learning_rate: 0.181217 loss_vfl: 1.053096 loss_bbox: 0.468339 loss_dfl: 0.436929 loss: 1.959109 eta: 17:32:35 batch_cost: 0.7065 data_cost: 0.2022 ips: 90.5862 images/s
[03/19 03:30:54] ppdet.engine INFO: Epoch: [137] [320/458] learning_rate: 0.181144 loss_vfl: 1.086567 loss_bbox: 0.487764 loss_dfl: 0.445589 loss: 2.028023 eta: 17:32:22 batch_cost: 1.0240 data_cost: 0.4525 ips: 62.4979 images/s
[03/19 03:31:12] ppdet.engine INFO: Epoch: [137] [340/458] learning_rate: 0.181071 loss_vfl: 1.063220 loss_bbox: 0.483160 loss_dfl: 0.439604 loss: 1.986995 eta: 17:32:03 batch_cost: 0.7805 data_cost: 0.2637 ips: 82.0013 images/s
[03/19 03:31:32] ppdet.engine INFO: Epoch: [137] [360/458] learning_rate: 0.180999 loss_vfl: 1.025846 loss_bbox: 0.458250 loss_dfl: 0.432118 loss: 1.916776 eta: 17:31:45 batch_cost: 0.8202 data_cost: 0.2378 ips: 78.0307 images/s
[03/19 03:31:51] ppdet.engine INFO: Epoch: [137] [380/458] learning_rate: 0.180926 loss_vfl: 1.068815 loss_bbox: 0.471909 loss_dfl: 0.433627 loss: 1.975158 eta: 17:31:27 batch_cost: 0.8000 data_cost: 0.2141 ips: 79.9964 images/s
[03/19 03:32:07] ppdet.engine INFO: Epoch: [137] [400/458] learning_rate: 0.180853 loss_vfl: 1.072423 loss_bbox: 0.460165 loss_dfl: 0.432346 loss: 1.979398 eta: 17:31:08 batch_cost: 0.7450 data_cost: 0.0221 ips: 85.9117 images/s
[03/19 03:32:22] ppdet.engine INFO: Epoch: [137] [420/458] learning_rate: 0.180781 loss_vfl: 1.021492 loss_bbox: 0.443734 loss_dfl: 0.414784 loss: 1.897632 eta: 17:30:47 batch_cost: 0.6741 data_cost: 0.0388 ips: 94.9379 images/s
[03/19 03:32:39] ppdet.engine INFO: Epoch: [137] [440/458] learning_rate: 0.180708 loss_vfl: 1.057023 loss_bbox: 0.472449 loss_dfl: 0.447789 loss: 1.988337 eta: 17:30:27 batch_cost: 0.7503 data_cost: 0.0015 ips: 85.3025 images/s
[03/19 03:32:58] ppdet.engine INFO: Epoch: [138] [  0/458] learning_rate: 0.180642 loss_vfl: 1.047898 loss_bbox: 0.475108 loss_dfl: 0.434790 loss: 1.970052 eta: 17:30:13 batch_cost: 0.8587 data_cost: 0.3550 ips: 74.5323 images/s
[03/19 03:33:20] ppdet.engine INFO: Epoch: [138] [ 20/458] learning_rate: 0.180570 loss_vfl: 1.120881 loss_bbox: 0.501918 loss_dfl: 0.459491 loss: 2.064781 eta: 17:29:59 batch_cost: 0.9588 data_cost: 0.2601 ips: 66.7475 images/s
[03/19 03:33:38] ppdet.engine INFO: Epoch: [138] [ 40/458] learning_rate: 0.180497 loss_vfl: 1.050494 loss_bbox: 0.464287 loss_dfl: 0.433684 loss: 1.959537 eta: 17:29:40 batch_cost: 0.7576 data_cost: 0.1961 ips: 84.4745 images/s
[03/19 03:33:57] ppdet.engine INFO: Epoch: [138] [ 60/458] learning_rate: 0.180424 loss_vfl: 1.080046 loss_bbox: 0.511067 loss_dfl: 0.460394 loss: 2.042611 eta: 17:29:23 batch_cost: 0.8372 data_cost: 0.3536 ips: 76.4462 images/s
[03/19 03:34:16] ppdet.engine INFO: Epoch: [138] [ 80/458] learning_rate: 0.180352 loss_vfl: 0.971341 loss_bbox: 0.451501 loss_dfl: 0.411628 loss: 1.854640 eta: 17:29:05 batch_cost: 0.8101 data_cost: 0.2877 ips: 79.0030 images/s
[03/19 03:34:37] ppdet.engine INFO: Epoch: [138] [100/458] learning_rate: 0.180279 loss_vfl: 1.060718 loss_bbox: 0.486422 loss_dfl: 0.444597 loss: 1.975143 eta: 17:28:50 batch_cost: 0.9339 data_cost: 0.3580 ips: 68.5301 images/s
[03/19 03:34:57] ppdet.engine INFO: Epoch: [138] [120/458] learning_rate: 0.180206 loss_vfl: 1.112756 loss_bbox: 0.496503 loss_dfl: 0.453532 loss: 2.054315 eta: 17:28:34 batch_cost: 0.8889 data_cost: 0.2750 ips: 71.9972 images/s
[03/19 03:35:17] ppdet.engine INFO: Epoch: [138] [140/458] learning_rate: 0.180133 loss_vfl: 1.073689 loss_bbox: 0.476258 loss_dfl: 0.450897 loss: 1.998284 eta: 17:28:17 batch_cost: 0.8730 data_cost: 0.3831 ips: 73.3090 images/s
[03/19 03:35:36] ppdet.engine INFO: Epoch: [138] [160/458] learning_rate: 0.180061 loss_vfl: 1.018291 loss_bbox: 0.459753 loss_dfl: 0.429166 loss: 1.913677 eta: 17:27:59 batch_cost: 0.8146 data_cost: 0.2333 ips: 78.5650 images/s
[03/19 03:35:56] ppdet.engine INFO: Epoch: [138] [180/458] learning_rate: 0.179988 loss_vfl: 0.995014 loss_bbox: 0.445877 loss_dfl: 0.410775 loss: 1.843507 eta: 17:27:44 batch_cost: 0.9412 data_cost: 0.3176 ips: 67.9982 images/s
[03/19 03:36:16] ppdet.engine INFO: Epoch: [138] [200/458] learning_rate: 0.179915 loss_vfl: 1.055175 loss_bbox: 0.473182 loss_dfl: 0.431968 loss: 1.959534 eta: 17:27:29 batch_cost: 0.8940 data_cost: 0.3709 ips: 71.5889 images/s
[03/19 03:36:36] ppdet.engine INFO: Epoch: [138] [220/458] learning_rate: 0.179842 loss_vfl: 1.101229 loss_bbox: 0.479361 loss_dfl: 0.448275 loss: 2.028555 eta: 17:27:12 batch_cost: 0.8495 data_cost: 0.3131 ips: 75.3360 images/s
[03/19 03:36:56] ppdet.engine INFO: Epoch: [138] [240/458] learning_rate: 0.179770 loss_vfl: 1.117766 loss_bbox: 0.510692 loss_dfl: 0.475186 loss: 2.113209 eta: 17:26:56 batch_cost: 0.9071 data_cost: 0.3480 ips: 70.5508 images/s
[03/19 03:37:14] ppdet.engine INFO: Epoch: [138] [260/458] learning_rate: 0.179697 loss_vfl: 1.039283 loss_bbox: 0.478391 loss_dfl: 0.439297 loss: 1.962773 eta: 17:26:38 batch_cost: 0.8226 data_cost: 0.2709 ips: 77.7975 images/s
[03/19 03:37:35] ppdet.engine INFO: Epoch: [138] [280/458] learning_rate: 0.179624 loss_vfl: 1.115118 loss_bbox: 0.497310 loss_dfl: 0.453562 loss: 2.070476 eta: 17:26:22 batch_cost: 0.8906 data_cost: 0.2169 ips: 71.8605 images/s
[03/19 03:37:53] ppdet.engine INFO: Epoch: [138] [300/458] learning_rate: 0.179551 loss_vfl: 1.041058 loss_bbox: 0.457845 loss_dfl: 0.431324 loss: 1.927655 eta: 17:26:05 batch_cost: 0.8182 data_cost: 0.0943 ips: 78.2169 images/s
[03/19 03:38:11] ppdet.engine INFO: Epoch: [138] [320/458] learning_rate: 0.179478 loss_vfl: 1.073528 loss_bbox: 0.464997 loss_dfl: 0.434404 loss: 1.971270 eta: 17:25:46 batch_cost: 0.7702 data_cost: 0.0635 ips: 83.1006 images/s
[03/19 03:38:31] ppdet.engine INFO: Epoch: [138] [340/458] learning_rate: 0.179406 loss_vfl: 1.071776 loss_bbox: 0.462389 loss_dfl: 0.438278 loss: 1.970441 eta: 17:25:29 batch_cost: 0.8492 data_cost: 0.0914 ips: 75.3624 images/s
[03/19 03:38:49] ppdet.engine INFO: Epoch: [138] [360/458] learning_rate: 0.179333 loss_vfl: 1.061598 loss_bbox: 0.453068 loss_dfl: 0.422308 loss: 1.919902 eta: 17:25:11 batch_cost: 0.8044 data_cost: 0.0707 ips: 79.5647 images/s
[03/19 03:39:10] ppdet.engine INFO: Epoch: [138] [380/458] learning_rate: 0.179260 loss_vfl: 1.113595 loss_bbox: 0.500211 loss_dfl: 0.463912 loss: 2.080938 eta: 17:24:55 batch_cost: 0.9199 data_cost: 0.1833 ips: 69.5740 images/s
[03/19 03:39:26] ppdet.engine INFO: Epoch: [138] [400/458] learning_rate: 0.179187 loss_vfl: 1.090776 loss_bbox: 0.491226 loss_dfl: 0.446724 loss: 2.022723 eta: 17:24:35 batch_cost: 0.7027 data_cost: 0.2611 ips: 91.0805 images/s
[03/19 03:39:42] ppdet.engine INFO: Epoch: [138] [420/458] learning_rate: 0.179115 loss_vfl: 1.105182 loss_bbox: 0.505500 loss_dfl: 0.468576 loss: 2.103207 eta: 17:24:15 batch_cost: 0.7396 data_cost: 0.3144 ips: 86.5297 images/s
[03/19 03:39:58] ppdet.engine INFO: Epoch: [138] [440/458] learning_rate: 0.179042 loss_vfl: 1.073192 loss_bbox: 0.512066 loss_dfl: 0.448821 loss: 2.005286 eta: 17:23:55 batch_cost: 0.6788 data_cost: 0.1987 ips: 94.2796 images/s
[03/19 03:40:20] ppdet.engine INFO: Epoch: [139] [  0/458] learning_rate: 0.178976 loss_vfl: 1.119829 loss_bbox: 0.492079 loss_dfl: 0.455656 loss: 2.076070 eta: 17:23:44 batch_cost: 0.9918 data_cost: 0.4727 ips: 64.5296 images/s
[03/19 03:40:41] ppdet.engine INFO: Epoch: [139] [ 20/458] learning_rate: 0.178903 loss_vfl: 1.042167 loss_bbox: 0.464989 loss_dfl: 0.419570 loss: 1.894025 eta: 17:23:29 batch_cost: 0.9461 data_cost: 0.0037 ips: 67.6479 images/s
[03/19 03:40:58] ppdet.engine INFO: Epoch: [139] [ 40/458] learning_rate: 0.178831 loss_vfl: 1.103029 loss_bbox: 0.488578 loss_dfl: 0.462854 loss: 2.085773 eta: 17:23:08 batch_cost: 0.6702 data_cost: 0.0032 ips: 95.4993 images/s
[03/19 03:41:18] ppdet.engine INFO: Epoch: [139] [ 60/458] learning_rate: 0.178758 loss_vfl: 1.037579 loss_bbox: 0.469022 loss_dfl: 0.426172 loss: 1.917825 eta: 17:22:52 batch_cost: 0.8876 data_cost: 0.1190 ips: 72.1047 images/s
[03/19 03:41:37] ppdet.engine INFO: Epoch: [139] [ 80/458] learning_rate: 0.178685 loss_vfl: 1.103863 loss_bbox: 0.478195 loss_dfl: 0.447333 loss: 2.036943 eta: 17:22:34 batch_cost: 0.8019 data_cost: 0.1738 ips: 79.8058 images/s
[03/19 03:41:57] ppdet.engine INFO: Epoch: [139] [100/458] learning_rate: 0.178612 loss_vfl: 1.077784 loss_bbox: 0.476761 loss_dfl: 0.437838 loss: 1.962782 eta: 17:22:17 batch_cost: 0.8567 data_cost: 0.1783 ips: 74.7074 images/s
[03/19 03:42:16] ppdet.engine INFO: Epoch: [139] [120/458] learning_rate: 0.178539 loss_vfl: 1.085243 loss_bbox: 0.481802 loss_dfl: 0.441401 loss: 1.991539 eta: 17:21:59 batch_cost: 0.8126 data_cost: 0.2013 ips: 78.7566 images/s
[03/19 03:42:37] ppdet.engine INFO: Epoch: [139] [140/458] learning_rate: 0.178466 loss_vfl: 1.088432 loss_bbox: 0.473265 loss_dfl: 0.430759 loss: 1.979065 eta: 17:21:43 batch_cost: 0.8852 data_cost: 0.4043 ips: 72.2987 images/s
[03/19 03:42:57] ppdet.engine INFO: Epoch: [139] [160/458] learning_rate: 0.178394 loss_vfl: 1.102384 loss_bbox: 0.508919 loss_dfl: 0.461871 loss: 2.068729 eta: 17:21:28 batch_cost: 0.9343 data_cost: 0.3798 ips: 68.4980 images/s
[03/19 03:43:17] ppdet.engine INFO: Epoch: [139] [180/458] learning_rate: 0.178321 loss_vfl: 1.050999 loss_bbox: 0.483421 loss_dfl: 0.441731 loss: 1.975202 eta: 17:21:12 batch_cost: 0.8926 data_cost: 0.3374 ips: 71.6995 images/s
[03/19 03:43:37] ppdet.engine INFO: Epoch: [139] [200/458] learning_rate: 0.178248 loss_vfl: 1.086551 loss_bbox: 0.501133 loss_dfl: 0.458174 loss: 2.063607 eta: 17:20:56 batch_cost: 0.9031 data_cost: 0.3852 ips: 70.8633 images/s
[03/19 03:43:56] ppdet.engine INFO: Epoch: [139] [220/458] learning_rate: 0.178175 loss_vfl: 1.065533 loss_bbox: 0.471602 loss_dfl: 0.445874 loss: 1.969937 eta: 17:20:38 batch_cost: 0.8073 data_cost: 0.2194 ips: 79.2812 images/s
[03/19 03:44:16] ppdet.engine INFO: Epoch: [139] [240/458] learning_rate: 0.178102 loss_vfl: 1.094673 loss_bbox: 0.506529 loss_dfl: 0.463110 loss: 2.054513 eta: 17:20:21 batch_cost: 0.8556 data_cost: 0.2589 ips: 74.8009 images/s
[03/19 03:44:35] ppdet.engine INFO: Epoch: [139] [260/458] learning_rate: 0.178029 loss_vfl: 1.107257 loss_bbox: 0.497868 loss_dfl: 0.452796 loss: 2.045850 eta: 17:20:04 batch_cost: 0.8212 data_cost: 0.1268 ips: 77.9303 images/s
[03/19 03:44:53] ppdet.engine INFO: Epoch: [139] [280/458] learning_rate: 0.177956 loss_vfl: 1.087542 loss_bbox: 0.479274 loss_dfl: 0.447209 loss: 2.016075 eta: 17:19:46 batch_cost: 0.8437 data_cost: 0.2172 ips: 75.8592 images/s
[03/19 03:45:17] ppdet.engine INFO: Epoch: [139] [300/458] learning_rate: 0.177884 loss_vfl: 1.081019 loss_bbox: 0.490415 loss_dfl: 0.451178 loss: 2.022950 eta: 17:19:33 batch_cost: 1.0049 data_cost: 0.4371 ips: 63.6895 images/s
[03/19 03:45:35] ppdet.engine INFO: Epoch: [139] [320/458] learning_rate: 0.177811 loss_vfl: 1.073078 loss_bbox: 0.468685 loss_dfl: 0.439442 loss: 2.013725 eta: 17:19:15 batch_cost: 0.7896 data_cost: 0.2672 ips: 81.0551 images/s
[03/19 03:45:52] ppdet.engine INFO: Epoch: [139] [340/458] learning_rate: 0.177738 loss_vfl: 1.050096 loss_bbox: 0.445401 loss_dfl: 0.423646 loss: 1.918480 eta: 17:18:55 batch_cost: 0.7425 data_cost: 0.1722 ips: 86.1954 images/s
[03/19 03:46:12] ppdet.engine INFO: Epoch: [139] [360/458] learning_rate: 0.177665 loss_vfl: 1.077783 loss_bbox: 0.476043 loss_dfl: 0.451731 loss: 2.016680 eta: 17:18:39 batch_cost: 0.8847 data_cost: 0.3482 ips: 72.3417 images/s
[03/19 03:46:29] ppdet.engine INFO: Epoch: [139] [380/458] learning_rate: 0.177592 loss_vfl: 1.103582 loss_bbox: 0.510107 loss_dfl: 0.452906 loss: 2.055217 eta: 17:18:20 batch_cost: 0.7504 data_cost: 0.2404 ips: 85.2916 images/s
[03/19 03:46:44] ppdet.engine INFO: Epoch: [139] [400/458] learning_rate: 0.177519 loss_vfl: 1.023281 loss_bbox: 0.461946 loss_dfl: 0.410987 loss: 1.882356 eta: 17:17:59 batch_cost: 0.6633 data_cost: 0.2813 ips: 96.4839 images/s
[03/19 03:46:59] ppdet.engine INFO: Epoch: [139] [420/458] learning_rate: 0.177446 loss_vfl: 1.040543 loss_bbox: 0.472027 loss_dfl: 0.426425 loss: 1.938743 eta: 17:17:38 batch_cost: 0.6697 data_cost: 0.1895 ips: 95.5667 images/s
[03/19 03:47:18] ppdet.engine INFO: Epoch: [139] [440/458] learning_rate: 0.177373 loss_vfl: 1.051937 loss_bbox: 0.472736 loss_dfl: 0.437321 loss: 1.949399 eta: 17:17:20 batch_cost: 0.8129 data_cost: 0.3156 ips: 78.7286 images/s
[03/19 03:47:32] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 03:47:32] ppdet.engine INFO: Eval iter: 0
[03/19 03:47:51] ppdet.engine INFO: Eval iter: 100
[03/19 03:48:00] ppdet.engine INFO: Eval iter: 200
[03/19 03:48:10] ppdet.engine INFO: Eval iter: 300
[03/19 03:48:19] ppdet.engine INFO: Eval iter: 400
[03/19 03:48:28] ppdet.engine INFO: Eval iter: 500
[03/19 03:48:38] ppdet.engine INFO: Eval iter: 600
[03/19 03:48:52] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.94s)
creating index...
index created!
[03/19 03:48:53] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.41s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.04s).
Accumulating evaluation results...
DONE (t=16.04s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.208
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.320
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.217
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.056
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.201
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.374
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.226
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.361
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.382
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.103
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.416
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.651
[03/19 03:50:32] ppdet.engine INFO: Total sample number: 4952, averge FPS: 72.272057299565
[03/19 03:50:32] ppdet.engine INFO: Best test bbox ap is 0.208.
[03/19 03:50:32] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 03:50:33] ppdet.engine INFO: Epoch: [140] [  0/458] learning_rate: 0.177308 loss_vfl: 1.081247 loss_bbox: 0.496631 loss_dfl: 0.446332 loss: 2.011451 eta: 17:17:00 batch_cost: 0.6162 data_cost: 0.1924 ips: 103.8567 images/s
[03/19 03:50:48] ppdet.engine INFO: Epoch: [140] [ 20/458] learning_rate: 0.177235 loss_vfl: 1.104711 loss_bbox: 0.501785 loss_dfl: 0.447523 loss: 2.043224 eta: 17:16:36 batch_cost: 0.5759 data_cost: 0.0434 ips: 111.1262 images/s
[03/19 03:51:07] ppdet.engine INFO: Epoch: [140] [ 40/458] learning_rate: 0.177162 loss_vfl: 1.074452 loss_bbox: 0.497028 loss_dfl: 0.451762 loss: 2.052393 eta: 17:16:19 batch_cost: 0.8337 data_cost: 0.2779 ips: 76.7635 images/s
[03/19 03:51:28] ppdet.engine INFO: Epoch: [140] [ 60/458] learning_rate: 0.177089 loss_vfl: 1.048420 loss_bbox: 0.467974 loss_dfl: 0.435880 loss: 1.930054 eta: 17:16:04 batch_cost: 0.9209 data_cost: 0.3655 ips: 69.4943 images/s
[03/19 03:51:50] ppdet.engine INFO: Epoch: [140] [ 80/458] learning_rate: 0.177016 loss_vfl: 1.085572 loss_bbox: 0.504044 loss_dfl: 0.450773 loss: 2.013356 eta: 17:15:50 batch_cost: 1.0068 data_cost: 0.5030 ips: 63.5646 images/s
[03/19 03:52:08] ppdet.engine INFO: Epoch: [140] [100/458] learning_rate: 0.176943 loss_vfl: 1.077285 loss_bbox: 0.460248 loss_dfl: 0.427831 loss: 1.953877 eta: 17:15:32 batch_cost: 0.7885 data_cost: 0.2628 ips: 81.1713 images/s
[03/19 03:52:27] ppdet.engine INFO: Epoch: [140] [120/458] learning_rate: 0.176870 loss_vfl: 1.036705 loss_bbox: 0.490187 loss_dfl: 0.439419 loss: 1.946857 eta: 17:15:14 batch_cost: 0.8105 data_cost: 0.2910 ips: 78.9657 images/s
[03/19 03:52:47] ppdet.engine INFO: Epoch: [140] [140/458] learning_rate: 0.176797 loss_vfl: 1.099350 loss_bbox: 0.490631 loss_dfl: 0.458055 loss: 2.085920 eta: 17:14:59 batch_cost: 0.9216 data_cost: 0.4018 ips: 69.4433 images/s
[03/19 03:53:05] ppdet.engine INFO: Epoch: [140] [160/458] learning_rate: 0.176725 loss_vfl: 1.046503 loss_bbox: 0.452002 loss_dfl: 0.421304 loss: 1.921419 eta: 17:14:40 batch_cost: 0.7734 data_cost: 0.2759 ips: 82.7552 images/s
[03/19 03:53:21] ppdet.engine INFO: Epoch: [140] [180/458] learning_rate: 0.176652 loss_vfl: 1.029280 loss_bbox: 0.457816 loss_dfl: 0.436038 loss: 1.924266 eta: 17:14:19 batch_cost: 0.6851 data_cost: 0.2308 ips: 93.4235 images/s
[03/19 03:53:36] ppdet.engine INFO: Epoch: [140] [200/458] learning_rate: 0.176579 loss_vfl: 1.080379 loss_bbox: 0.467915 loss_dfl: 0.443093 loss: 1.984803 eta: 17:13:58 batch_cost: 0.6731 data_cost: 0.2689 ips: 95.0798 images/s
[03/19 03:53:51] ppdet.engine INFO: Epoch: [140] [220/458] learning_rate: 0.176506 loss_vfl: 1.016169 loss_bbox: 0.448381 loss_dfl: 0.422242 loss: 1.884191 eta: 17:13:36 batch_cost: 0.6316 data_cost: 0.1553 ips: 101.3348 images/s
[03/19 03:54:12] ppdet.engine INFO: Epoch: [140] [240/458] learning_rate: 0.176433 loss_vfl: 1.012282 loss_bbox: 0.478728 loss_dfl: 0.432090 loss: 1.918347 eta: 17:13:22 batch_cost: 0.9561 data_cost: 0.2721 ips: 66.9366 images/s
[03/19 03:54:33] ppdet.engine INFO: Epoch: [140] [260/458] learning_rate: 0.176360 loss_vfl: 1.071598 loss_bbox: 0.467117 loss_dfl: 0.427884 loss: 1.994493 eta: 17:13:06 batch_cost: 0.9084 data_cost: 0.2649 ips: 70.4550 images/s
[03/19 03:54:50] ppdet.engine INFO: Epoch: [140] [280/458] learning_rate: 0.176287 loss_vfl: 1.084054 loss_bbox: 0.481615 loss_dfl: 0.442488 loss: 2.013230 eta: 17:12:47 batch_cost: 0.7400 data_cost: 0.1485 ips: 86.4883 images/s
[03/19 03:55:12] ppdet.engine INFO: Epoch: [140] [300/458] learning_rate: 0.176214 loss_vfl: 1.069962 loss_bbox: 0.479774 loss_dfl: 0.442132 loss: 2.014040 eta: 17:12:33 batch_cost: 0.9893 data_cost: 0.4287 ips: 64.6895 images/s
[03/19 03:55:30] ppdet.engine INFO: Epoch: [140] [320/458] learning_rate: 0.176141 loss_vfl: 1.077236 loss_bbox: 0.477240 loss_dfl: 0.442111 loss: 2.013560 eta: 17:12:15 batch_cost: 0.8149 data_cost: 0.2057 ips: 78.5344 images/s
[03/19 03:55:49] ppdet.engine INFO: Epoch: [140] [340/458] learning_rate: 0.176068 loss_vfl: 1.061422 loss_bbox: 0.478591 loss_dfl: 0.444078 loss: 2.006500 eta: 17:11:58 batch_cost: 0.8447 data_cost: 0.3156 ips: 75.7643 images/s
[03/19 03:56:12] ppdet.engine INFO: Epoch: [140] [360/458] learning_rate: 0.175995 loss_vfl: 1.078549 loss_bbox: 0.486490 loss_dfl: 0.445351 loss: 2.015863 eta: 17:11:45 batch_cost: 1.0236 data_cost: 0.5282 ips: 62.5249 images/s
[03/19 03:56:30] ppdet.engine INFO: Epoch: [140] [380/458] learning_rate: 0.175922 loss_vfl: 1.059302 loss_bbox: 0.470471 loss_dfl: 0.437766 loss: 1.954085 eta: 17:11:25 batch_cost: 0.7266 data_cost: 0.1522 ips: 88.0794 images/s
[03/19 03:56:50] ppdet.engine INFO: Epoch: [140] [400/458] learning_rate: 0.175849 loss_vfl: 1.055238 loss_bbox: 0.459130 loss_dfl: 0.429626 loss: 1.941811 eta: 17:11:10 batch_cost: 0.9139 data_cost: 0.3338 ips: 70.0273 images/s
[03/19 03:57:09] ppdet.engine INFO: Epoch: [140] [420/458] learning_rate: 0.175776 loss_vfl: 1.049164 loss_bbox: 0.479367 loss_dfl: 0.440844 loss: 1.955642 eta: 17:10:52 batch_cost: 0.8017 data_cost: 0.2551 ips: 79.8339 images/s
[03/19 03:57:32] ppdet.engine INFO: Epoch: [140] [440/458] learning_rate: 0.175703 loss_vfl: 1.013197 loss_bbox: 0.459140 loss_dfl: 0.420706 loss: 1.896758 eta: 17:10:39 batch_cost: 1.0438 data_cost: 0.4782 ips: 61.3170 images/s
[03/19 03:57:51] ppdet.engine INFO: Epoch: [141] [  0/458] learning_rate: 0.175638 loss_vfl: 1.038970 loss_bbox: 0.473965 loss_dfl: 0.432885 loss: 1.961153 eta: 17:10:25 batch_cost: 1.0454 data_cost: 0.5840 ips: 61.2223 images/s
[03/19 03:58:11] ppdet.engine INFO: Epoch: [141] [ 20/458] learning_rate: 0.175565 loss_vfl: 1.072245 loss_bbox: 0.459808 loss_dfl: 0.429285 loss: 1.971722 eta: 17:10:09 batch_cost: 0.8806 data_cost: 0.0843 ips: 72.6795 images/s
[03/19 03:58:30] ppdet.engine INFO: Epoch: [141] [ 40/458] learning_rate: 0.175492 loss_vfl: 1.028032 loss_bbox: 0.441882 loss_dfl: 0.411013 loss: 1.862370 eta: 17:09:50 batch_cost: 0.7674 data_cost: 0.0228 ips: 83.3947 images/s
[03/19 03:58:50] ppdet.engine INFO: Epoch: [141] [ 60/458] learning_rate: 0.175419 loss_vfl: 1.075151 loss_bbox: 0.479384 loss_dfl: 0.446839 loss: 2.034868 eta: 17:09:33 batch_cost: 0.8531 data_cost: 0.0022 ips: 75.0249 images/s
[03/19 03:59:10] ppdet.engine INFO: Epoch: [141] [ 80/458] learning_rate: 0.175346 loss_vfl: 1.050509 loss_bbox: 0.475769 loss_dfl: 0.440269 loss: 1.952201 eta: 17:09:17 batch_cost: 0.8905 data_cost: 0.1525 ips: 71.8704 images/s
[03/19 03:59:30] ppdet.engine INFO: Epoch: [141] [100/458] learning_rate: 0.175273 loss_vfl: 1.109730 loss_bbox: 0.527225 loss_dfl: 0.468593 loss: 2.099263 eta: 17:09:01 batch_cost: 0.8602 data_cost: 0.0036 ips: 74.4003 images/s
[03/19 03:59:52] ppdet.engine INFO: Epoch: [141] [120/458] learning_rate: 0.175200 loss_vfl: 1.053294 loss_bbox: 0.481843 loss_dfl: 0.432173 loss: 1.983550 eta: 17:08:45 batch_cost: 0.9175 data_cost: 0.0018 ips: 69.7543 images/s
[03/19 04:00:12] ppdet.engine INFO: Epoch: [141] [140/458] learning_rate: 0.175127 loss_vfl: 1.034500 loss_bbox: 0.481589 loss_dfl: 0.439289 loss: 1.970957 eta: 17:08:29 batch_cost: 0.8903 data_cost: 0.0697 ips: 71.8878 images/s
[03/19 04:00:27] ppdet.engine INFO: Epoch: [141] [160/458] learning_rate: 0.175054 loss_vfl: 1.055431 loss_bbox: 0.495811 loss_dfl: 0.452303 loss: 2.010572 eta: 17:08:08 batch_cost: 0.6478 data_cost: 0.0031 ips: 98.8014 images/s
[03/19 04:00:42] ppdet.engine INFO: Epoch: [141] [180/458] learning_rate: 0.174981 loss_vfl: 1.049939 loss_bbox: 0.468695 loss_dfl: 0.432936 loss: 1.940390 eta: 17:07:46 batch_cost: 0.6302 data_cost: 0.1168 ips: 101.5480 images/s
[03/19 04:00:56] ppdet.engine INFO: Epoch: [141] [200/458] learning_rate: 0.174908 loss_vfl: 1.030512 loss_bbox: 0.467774 loss_dfl: 0.423456 loss: 1.892467 eta: 17:07:25 batch_cost: 0.6621 data_cost: 0.1641 ips: 96.6588 images/s
[03/19 04:01:18] ppdet.engine INFO: Epoch: [141] [220/458] learning_rate: 0.174835 loss_vfl: 1.083738 loss_bbox: 0.477817 loss_dfl: 0.444267 loss: 2.003173 eta: 17:07:11 batch_cost: 0.9922 data_cost: 0.4857 ips: 64.5050 images/s
[03/19 04:01:35] ppdet.engine INFO: Epoch: [141] [240/458] learning_rate: 0.174762 loss_vfl: 1.094927 loss_bbox: 0.500101 loss_dfl: 0.458546 loss: 2.071452 eta: 17:06:52 batch_cost: 0.7479 data_cost: 0.2000 ips: 85.5786 images/s
[03/19 04:01:56] ppdet.engine INFO: Epoch: [141] [260/458] learning_rate: 0.174689 loss_vfl: 1.018383 loss_bbox: 0.466941 loss_dfl: 0.422836 loss: 1.908501 eta: 17:06:37 batch_cost: 0.9396 data_cost: 0.2725 ips: 68.1117 images/s
[03/19 04:02:16] ppdet.engine INFO: Epoch: [141] [280/458] learning_rate: 0.174616 loss_vfl: 1.054335 loss_bbox: 0.488996 loss_dfl: 0.438395 loss: 1.969229 eta: 17:06:20 batch_cost: 0.8601 data_cost: 0.1993 ips: 74.4104 images/s
[03/19 04:02:36] ppdet.engine INFO: Epoch: [141] [300/458] learning_rate: 0.174543 loss_vfl: 1.073512 loss_bbox: 0.492351 loss_dfl: 0.449937 loss: 2.024052 eta: 17:06:02 batch_cost: 0.8028 data_cost: 0.2257 ips: 79.7225 images/s
[03/19 04:02:54] ppdet.engine INFO: Epoch: [141] [320/458] learning_rate: 0.174470 loss_vfl: 1.096323 loss_bbox: 0.501318 loss_dfl: 0.457473 loss: 2.055481 eta: 17:05:44 batch_cost: 0.7876 data_cost: 0.1617 ips: 81.2579 images/s
[03/19 04:03:15] ppdet.engine INFO: Epoch: [141] [340/458] learning_rate: 0.174397 loss_vfl: 1.027936 loss_bbox: 0.432241 loss_dfl: 0.425373 loss: 1.897617 eta: 17:05:28 batch_cost: 0.9301 data_cost: 0.3521 ips: 68.8082 images/s
[03/19 04:03:33] ppdet.engine INFO: Epoch: [141] [360/458] learning_rate: 0.174324 loss_vfl: 1.063503 loss_bbox: 0.451580 loss_dfl: 0.427165 loss: 1.916713 eta: 17:05:10 batch_cost: 0.7899 data_cost: 0.2260 ips: 81.0271 images/s
[03/19 04:03:53] ppdet.engine INFO: Epoch: [141] [380/458] learning_rate: 0.174250 loss_vfl: 1.082912 loss_bbox: 0.509855 loss_dfl: 0.466928 loss: 2.059820 eta: 17:04:54 batch_cost: 0.8796 data_cost: 0.2687 ips: 72.7644 images/s
[03/19 04:04:13] ppdet.engine INFO: Epoch: [141] [400/458] learning_rate: 0.174177 loss_vfl: 1.051307 loss_bbox: 0.473930 loss_dfl: 0.434312 loss: 1.965055 eta: 17:04:38 batch_cost: 0.8905 data_cost: 0.2482 ips: 71.8688 images/s
[03/19 04:04:33] ppdet.engine INFO: Epoch: [141] [420/458] learning_rate: 0.174104 loss_vfl: 1.070910 loss_bbox: 0.481410 loss_dfl: 0.445684 loss: 2.013521 eta: 17:04:22 batch_cost: 0.8943 data_cost: 0.2836 ips: 71.5610 images/s
[03/19 04:04:53] ppdet.engine INFO: Epoch: [141] [440/458] learning_rate: 0.174031 loss_vfl: 1.035137 loss_bbox: 0.481888 loss_dfl: 0.435789 loss: 1.939191 eta: 17:04:04 batch_cost: 0.8298 data_cost: 0.2638 ips: 77.1228 images/s
[03/19 04:05:14] ppdet.engine INFO: Epoch: [142] [  0/458] learning_rate: 0.173966 loss_vfl: 1.122430 loss_bbox: 0.482962 loss_dfl: 0.454648 loss: 2.054029 eta: 17:03:53 batch_cost: 1.0148 data_cost: 0.4915 ips: 63.0640 images/s
[03/19 04:05:33] ppdet.engine INFO: Epoch: [142] [ 20/458] learning_rate: 0.173893 loss_vfl: 1.080619 loss_bbox: 0.477726 loss_dfl: 0.439562 loss: 2.006361 eta: 17:03:35 batch_cost: 0.7972 data_cost: 0.1174 ips: 80.2821 images/s
[03/19 04:05:53] ppdet.engine INFO: Epoch: [142] [ 40/458] learning_rate: 0.173820 loss_vfl: 1.045477 loss_bbox: 0.488302 loss_dfl: 0.440262 loss: 2.010339 eta: 17:03:18 batch_cost: 0.8591 data_cost: 0.1777 ips: 74.5002 images/s
[03/19 04:06:12] ppdet.engine INFO: Epoch: [142] [ 60/458] learning_rate: 0.173746 loss_vfl: 1.051833 loss_bbox: 0.473132 loss_dfl: 0.433349 loss: 1.950359 eta: 17:03:01 batch_cost: 0.8496 data_cost: 0.0219 ips: 75.3325 images/s
[03/19 04:06:32] ppdet.engine INFO: Epoch: [142] [ 80/458] learning_rate: 0.173673 loss_vfl: 1.085423 loss_bbox: 0.490489 loss_dfl: 0.453797 loss: 2.036397 eta: 17:02:44 batch_cost: 0.8382 data_cost: 0.2357 ips: 76.3583 images/s
[03/19 04:06:52] ppdet.engine INFO: Epoch: [142] [100/458] learning_rate: 0.173600 loss_vfl: 1.038445 loss_bbox: 0.489359 loss_dfl: 0.440989 loss: 1.942737 eta: 17:02:27 batch_cost: 0.8552 data_cost: 0.1793 ips: 74.8395 images/s
[03/19 04:07:11] ppdet.engine INFO: Epoch: [142] [120/458] learning_rate: 0.173527 loss_vfl: 1.066226 loss_bbox: 0.472170 loss_dfl: 0.429678 loss: 1.973097 eta: 17:02:10 batch_cost: 0.8323 data_cost: 0.2528 ips: 76.8931 images/s
[03/19 04:07:30] ppdet.engine INFO: Epoch: [142] [140/458] learning_rate: 0.173454 loss_vfl: 1.080820 loss_bbox: 0.475494 loss_dfl: 0.445580 loss: 2.026058 eta: 17:01:53 batch_cost: 0.8537 data_cost: 0.3260 ips: 74.9700 images/s
[03/19 04:07:46] ppdet.engine INFO: Epoch: [142] [160/458] learning_rate: 0.173381 loss_vfl: 1.040192 loss_bbox: 0.463211 loss_dfl: 0.417664 loss: 1.915223 eta: 17:01:34 batch_cost: 0.7367 data_cost: 0.2825 ips: 86.8729 images/s
[03/19 04:08:00] ppdet.engine INFO: Epoch: [142] [180/458] learning_rate: 0.173308 loss_vfl: 1.087909 loss_bbox: 0.452618 loss_dfl: 0.438722 loss: 1.973759 eta: 17:01:11 batch_cost: 0.6105 data_cost: 0.1691 ips: 104.8329 images/s
[03/19 04:08:19] ppdet.engine INFO: Epoch: [142] [200/458] learning_rate: 0.173235 loss_vfl: 1.028624 loss_bbox: 0.471182 loss_dfl: 0.441653 loss: 1.953420 eta: 17:00:54 batch_cost: 0.8281 data_cost: 0.2419 ips: 77.2835 images/s
[03/19 04:08:35] ppdet.engine INFO: Epoch: [142] [220/458] learning_rate: 0.173162 loss_vfl: 1.026461 loss_bbox: 0.471634 loss_dfl: 0.426773 loss: 1.943928 eta: 17:00:32 batch_cost: 0.6131 data_cost: 0.0058 ips: 104.3855 images/s
[03/19 04:08:55] ppdet.engine INFO: Epoch: [142] [240/458] learning_rate: 0.173089 loss_vfl: 1.097382 loss_bbox: 0.471857 loss_dfl: 0.441874 loss: 2.006505 eta: 17:00:16 batch_cost: 0.9219 data_cost: 0.2945 ips: 69.4189 images/s
[03/19 04:09:17] ppdet.engine INFO: Epoch: [142] [260/458] learning_rate: 0.173016 loss_vfl: 1.012650 loss_bbox: 0.463686 loss_dfl: 0.425907 loss: 1.916200 eta: 17:00:02 batch_cost: 0.9684 data_cost: 0.4360 ips: 66.0852 images/s
[03/19 04:09:35] ppdet.engine INFO: Epoch: [142] [280/458] learning_rate: 0.172943 loss_vfl: 1.088454 loss_bbox: 0.486986 loss_dfl: 0.438939 loss: 2.021807 eta: 16:59:44 batch_cost: 0.7957 data_cost: 0.1861 ips: 80.4309 images/s
[03/19 04:09:56] ppdet.engine INFO: Epoch: [142] [300/458] learning_rate: 0.172870 loss_vfl: 1.054419 loss_bbox: 0.466624 loss_dfl: 0.423369 loss: 1.938385 eta: 16:59:29 batch_cost: 0.9336 data_cost: 0.4708 ips: 68.5539 images/s
[03/19 04:10:15] ppdet.engine INFO: Epoch: [142] [320/458] learning_rate: 0.172797 loss_vfl: 1.056998 loss_bbox: 0.480836 loss_dfl: 0.440512 loss: 1.984774 eta: 16:59:12 batch_cost: 0.8751 data_cost: 0.2124 ips: 73.1323 images/s
[03/19 04:10:34] ppdet.engine INFO: Epoch: [142] [340/458] learning_rate: 0.172723 loss_vfl: 1.083410 loss_bbox: 0.487132 loss_dfl: 0.452490 loss: 2.022116 eta: 16:58:55 batch_cost: 0.8286 data_cost: 0.3843 ips: 77.2422 images/s
[03/19 04:10:53] ppdet.engine INFO: Epoch: [142] [360/458] learning_rate: 0.172650 loss_vfl: 1.085504 loss_bbox: 0.485496 loss_dfl: 0.450631 loss: 2.018440 eta: 16:58:38 batch_cost: 0.8622 data_cost: 0.3365 ips: 74.2272 images/s
[03/19 04:11:13] ppdet.engine INFO: Epoch: [142] [380/458] learning_rate: 0.172577 loss_vfl: 1.026967 loss_bbox: 0.466076 loss_dfl: 0.428618 loss: 1.927117 eta: 16:58:21 batch_cost: 0.8539 data_cost: 0.2571 ips: 74.9515 images/s
[03/19 04:11:31] ppdet.engine INFO: Epoch: [142] [400/458] learning_rate: 0.172504 loss_vfl: 0.990206 loss_bbox: 0.441066 loss_dfl: 0.408029 loss: 1.826791 eta: 16:58:02 batch_cost: 0.7344 data_cost: 0.1446 ips: 87.1471 images/s
[03/19 04:11:52] ppdet.engine INFO: Epoch: [142] [420/458] learning_rate: 0.172431 loss_vfl: 1.084172 loss_bbox: 0.496905 loss_dfl: 0.459396 loss: 2.024236 eta: 16:57:46 batch_cost: 0.8949 data_cost: 0.2367 ips: 71.5130 images/s
[03/19 04:12:12] ppdet.engine INFO: Epoch: [142] [440/458] learning_rate: 0.172358 loss_vfl: 1.072551 loss_bbox: 0.481802 loss_dfl: 0.446986 loss: 1.999446 eta: 16:57:29 batch_cost: 0.8626 data_cost: 0.1235 ips: 74.1986 images/s
[03/19 04:12:32] ppdet.engine INFO: Epoch: [143] [  0/458] learning_rate: 0.172292 loss_vfl: 1.049890 loss_bbox: 0.466214 loss_dfl: 0.440097 loss: 1.952997 eta: 16:57:16 batch_cost: 0.9086 data_cost: 0.3808 ips: 70.4366 images/s
[03/19 04:12:53] ppdet.engine INFO: Epoch: [143] [ 20/458] learning_rate: 0.172219 loss_vfl: 1.016611 loss_bbox: 0.485890 loss_dfl: 0.431960 loss: 1.944337 eta: 16:56:59 batch_cost: 0.8547 data_cost: 0.0350 ips: 74.8823 images/s
[03/19 04:13:13] ppdet.engine INFO: Epoch: [143] [ 40/458] learning_rate: 0.172146 loss_vfl: 1.046215 loss_bbox: 0.475193 loss_dfl: 0.431573 loss: 1.951497 eta: 16:56:43 batch_cost: 0.8707 data_cost: 0.2011 ips: 73.5044 images/s
[03/19 04:13:33] ppdet.engine INFO: Epoch: [143] [ 60/458] learning_rate: 0.172073 loss_vfl: 1.018776 loss_bbox: 0.457905 loss_dfl: 0.430048 loss: 1.917081 eta: 16:56:25 batch_cost: 0.8226 data_cost: 0.2358 ips: 77.8037 images/s
[03/19 04:13:54] ppdet.engine INFO: Epoch: [143] [ 80/458] learning_rate: 0.172000 loss_vfl: 1.084192 loss_bbox: 0.474609 loss_dfl: 0.449831 loss: 1.990839 eta: 16:56:11 batch_cost: 0.9887 data_cost: 0.4363 ips: 64.7334 images/s
[03/19 04:14:14] ppdet.engine INFO: Epoch: [143] [100/458] learning_rate: 0.171927 loss_vfl: 1.048266 loss_bbox: 0.474189 loss_dfl: 0.427373 loss: 1.933672 eta: 16:55:55 batch_cost: 0.8967 data_cost: 0.2976 ips: 71.3765 images/s
[03/19 04:14:33] ppdet.engine INFO: Epoch: [143] [120/458] learning_rate: 0.171853 loss_vfl: 1.043717 loss_bbox: 0.472283 loss_dfl: 0.427884 loss: 1.940750 eta: 16:55:38 batch_cost: 0.8217 data_cost: 0.1385 ips: 77.8873 images/s
[03/19 04:14:50] ppdet.engine INFO: Epoch: [143] [140/458] learning_rate: 0.171780 loss_vfl: 1.083341 loss_bbox: 0.493447 loss_dfl: 0.459570 loss: 2.032672 eta: 16:55:18 batch_cost: 0.7289 data_cost: 0.0550 ips: 87.8050 images/s
[03/19 04:15:06] ppdet.engine INFO: Epoch: [143] [160/458] learning_rate: 0.171707 loss_vfl: 1.084389 loss_bbox: 0.482638 loss_dfl: 0.453260 loss: 2.074650 eta: 16:54:58 batch_cost: 0.6819 data_cost: 0.2373 ips: 93.8545 images/s
[03/19 04:15:21] ppdet.engine INFO: Epoch: [143] [180/458] learning_rate: 0.171634 loss_vfl: 1.052004 loss_bbox: 0.484056 loss_dfl: 0.442466 loss: 1.971897 eta: 16:54:37 batch_cost: 0.6587 data_cost: 0.2107 ips: 97.1629 images/s
[03/19 04:15:40] ppdet.engine INFO: Epoch: [143] [200/458] learning_rate: 0.171561 loss_vfl: 1.047289 loss_bbox: 0.487047 loss_dfl: 0.438421 loss: 1.957616 eta: 16:54:17 batch_cost: 0.7471 data_cost: 0.2588 ips: 85.6635 images/s
[03/19 04:16:00] ppdet.engine INFO: Epoch: [143] [220/458] learning_rate: 0.171488 loss_vfl: 1.085275 loss_bbox: 0.482063 loss_dfl: 0.437391 loss: 2.000382 eta: 16:54:01 batch_cost: 0.8856 data_cost: 0.3215 ips: 72.2707 images/s
[03/19 04:16:21] ppdet.engine INFO: Epoch: [143] [240/458] learning_rate: 0.171415 loss_vfl: 1.035306 loss_bbox: 0.449608 loss_dfl: 0.427585 loss: 1.977921 eta: 16:53:45 batch_cost: 0.8867 data_cost: 0.2758 ips: 72.1753 images/s
[03/19 04:16:39] ppdet.engine INFO: Epoch: [143] [260/458] learning_rate: 0.171341 loss_vfl: 1.039783 loss_bbox: 0.485158 loss_dfl: 0.438039 loss: 1.969507 eta: 16:53:26 batch_cost: 0.7770 data_cost: 0.1940 ips: 82.3688 images/s
[03/19 04:17:01] ppdet.engine INFO: Epoch: [143] [280/458] learning_rate: 0.171268 loss_vfl: 1.072313 loss_bbox: 0.450365 loss_dfl: 0.435927 loss: 1.948937 eta: 16:53:13 batch_cost: 1.0161 data_cost: 0.3756 ips: 62.9863 images/s
[03/19 04:17:22] ppdet.engine INFO: Epoch: [143] [300/458] learning_rate: 0.171195 loss_vfl: 1.082083 loss_bbox: 0.483031 loss_dfl: 0.443516 loss: 1.980961 eta: 16:52:58 batch_cost: 0.9522 data_cost: 0.4129 ips: 67.2110 images/s
[03/19 04:17:42] ppdet.engine INFO: Epoch: [143] [320/458] learning_rate: 0.171122 loss_vfl: 1.096914 loss_bbox: 0.495120 loss_dfl: 0.459931 loss: 2.088781 eta: 16:52:41 batch_cost: 0.8366 data_cost: 0.2757 ips: 76.5018 images/s
[03/19 04:18:02] ppdet.engine INFO: Epoch: [143] [340/458] learning_rate: 0.171049 loss_vfl: 1.052240 loss_bbox: 0.488745 loss_dfl: 0.454918 loss: 2.006806 eta: 16:52:25 batch_cost: 0.8973 data_cost: 0.4020 ips: 71.3276 images/s
[03/19 04:18:20] ppdet.engine INFO: Epoch: [143] [360/458] learning_rate: 0.170976 loss_vfl: 1.030792 loss_bbox: 0.479447 loss_dfl: 0.436355 loss: 1.971133 eta: 16:52:05 batch_cost: 0.6967 data_cost: 0.1390 ips: 91.8661 images/s
[03/19 04:18:40] ppdet.engine INFO: Epoch: [143] [380/458] learning_rate: 0.170903 loss_vfl: 1.069678 loss_bbox: 0.475182 loss_dfl: 0.440251 loss: 1.960853 eta: 16:51:48 batch_cost: 0.8721 data_cost: 0.3959 ips: 73.3873 images/s
[03/19 04:19:01] ppdet.engine INFO: Epoch: [143] [400/458] learning_rate: 0.170829 loss_vfl: 1.134777 loss_bbox: 0.500219 loss_dfl: 0.469997 loss: 2.111406 eta: 16:51:33 batch_cost: 0.9238 data_cost: 0.4588 ips: 69.2811 images/s
[03/19 04:19:22] ppdet.engine INFO: Epoch: [143] [420/458] learning_rate: 0.170756 loss_vfl: 1.056510 loss_bbox: 0.483726 loss_dfl: 0.445396 loss: 1.973212 eta: 16:51:17 batch_cost: 0.8847 data_cost: 0.3417 ips: 72.3377 images/s
[03/19 04:19:40] ppdet.engine INFO: Epoch: [143] [440/458] learning_rate: 0.170683 loss_vfl: 1.078645 loss_bbox: 0.462808 loss_dfl: 0.435469 loss: 1.973810 eta: 16:50:58 batch_cost: 0.7744 data_cost: 0.1994 ips: 82.6461 images/s
[03/19 04:20:01] ppdet.engine INFO: Epoch: [144] [  0/458] learning_rate: 0.170617 loss_vfl: 1.052802 loss_bbox: 0.456384 loss_dfl: 0.428228 loss: 1.937455 eta: 16:50:46 batch_cost: 0.9635 data_cost: 0.5425 ips: 66.4226 images/s
[03/19 04:20:22] ppdet.engine INFO: Epoch: [144] [ 20/458] learning_rate: 0.170544 loss_vfl: 1.048931 loss_bbox: 0.466570 loss_dfl: 0.436700 loss: 1.955845 eta: 16:50:31 batch_cost: 0.9365 data_cost: 0.2561 ips: 68.3419 images/s
[03/19 04:20:43] ppdet.engine INFO: Epoch: [144] [ 40/458] learning_rate: 0.170471 loss_vfl: 1.081618 loss_bbox: 0.488249 loss_dfl: 0.456703 loss: 2.032238 eta: 16:50:16 batch_cost: 0.9152 data_cost: 0.1491 ips: 69.9313 images/s
[03/19 04:21:04] ppdet.engine INFO: Epoch: [144] [ 60/458] learning_rate: 0.170398 loss_vfl: 1.063936 loss_bbox: 0.494482 loss_dfl: 0.439807 loss: 1.997588 eta: 16:50:00 batch_cost: 0.8860 data_cost: 0.2584 ips: 72.2344 images/s
[03/19 04:21:23] ppdet.engine INFO: Epoch: [144] [ 80/458] learning_rate: 0.170325 loss_vfl: 1.063174 loss_bbox: 0.470056 loss_dfl: 0.439543 loss: 1.957941 eta: 16:49:43 batch_cost: 0.8521 data_cost: 0.2548 ips: 75.1126 images/s
[03/19 04:21:44] ppdet.engine INFO: Epoch: [144] [100/458] learning_rate: 0.170251 loss_vfl: 1.133064 loss_bbox: 0.530588 loss_dfl: 0.478579 loss: 2.133952 eta: 16:49:27 batch_cost: 0.8993 data_cost: 0.2736 ips: 71.1666 images/s
[03/19 04:22:02] ppdet.engine INFO: Epoch: [144] [120/458] learning_rate: 0.170178 loss_vfl: 1.025890 loss_bbox: 0.474064 loss_dfl: 0.435355 loss: 1.955793 eta: 16:49:09 batch_cost: 0.8036 data_cost: 0.3019 ips: 79.6419 images/s
[03/19 04:22:15] ppdet.engine INFO: Epoch: [144] [140/458] learning_rate: 0.170105 loss_vfl: 1.026947 loss_bbox: 0.467321 loss_dfl: 0.438159 loss: 1.922014 eta: 16:48:46 batch_cost: 0.5699 data_cost: 0.1250 ips: 112.2945 images/s
[03/19 04:22:31] ppdet.engine INFO: Epoch: [144] [160/458] learning_rate: 0.170032 loss_vfl: 1.039112 loss_bbox: 0.469473 loss_dfl: 0.431113 loss: 1.932600 eta: 16:48:26 batch_cost: 0.7256 data_cost: 0.2581 ips: 88.1995 images/s
[03/19 04:22:52] ppdet.engine INFO: Epoch: [144] [180/458] learning_rate: 0.169959 loss_vfl: 1.020388 loss_bbox: 0.454646 loss_dfl: 0.425720 loss: 1.909227 eta: 16:48:10 batch_cost: 0.9038 data_cost: 0.2269 ips: 70.8101 images/s
[03/19 04:23:13] ppdet.engine INFO: Epoch: [144] [200/458] learning_rate: 0.169885 loss_vfl: 1.067086 loss_bbox: 0.466573 loss_dfl: 0.442123 loss: 1.988398 eta: 16:47:54 batch_cost: 0.8932 data_cost: 0.1913 ips: 71.6503 images/s
[03/19 04:23:34] ppdet.engine INFO: Epoch: [144] [220/458] learning_rate: 0.169812 loss_vfl: 1.054827 loss_bbox: 0.487999 loss_dfl: 0.439886 loss: 1.985359 eta: 16:47:38 batch_cost: 0.8772 data_cost: 0.3173 ips: 72.9619 images/s
[03/19 04:23:53] ppdet.engine INFO: Epoch: [144] [240/458] learning_rate: 0.169739 loss_vfl: 1.030917 loss_bbox: 0.478015 loss_dfl: 0.441633 loss: 1.966995 eta: 16:47:20 batch_cost: 0.8028 data_cost: 0.1792 ips: 79.7162 images/s
[03/19 04:24:13] ppdet.engine INFO: Epoch: [144] [260/458] learning_rate: 0.169666 loss_vfl: 1.069072 loss_bbox: 0.466270 loss_dfl: 0.443252 loss: 1.978688 eta: 16:47:03 batch_cost: 0.8479 data_cost: 0.2891 ips: 75.4765 images/s
[03/19 04:24:34] ppdet.engine INFO: Epoch: [144] [280/458] learning_rate: 0.169593 loss_vfl: 1.064354 loss_bbox: 0.475358 loss_dfl: 0.446202 loss: 2.010617 eta: 16:46:47 batch_cost: 0.9122 data_cost: 0.1668 ips: 70.1627 images/s
[03/19 04:24:54] ppdet.engine INFO: Epoch: [144] [300/458] learning_rate: 0.169520 loss_vfl: 1.058273 loss_bbox: 0.457201 loss_dfl: 0.429406 loss: 1.940542 eta: 16:46:30 batch_cost: 0.8308 data_cost: 0.2573 ips: 77.0346 images/s
[03/19 04:25:12] ppdet.engine INFO: Epoch: [144] [320/458] learning_rate: 0.169446 loss_vfl: 1.099397 loss_bbox: 0.501371 loss_dfl: 0.466622 loss: 2.065468 eta: 16:46:12 batch_cost: 0.7989 data_cost: 0.2895 ips: 80.1126 images/s
[03/19 04:25:38] ppdet.engine INFO: Epoch: [144] [340/458] learning_rate: 0.169373 loss_vfl: 1.065527 loss_bbox: 0.467721 loss_dfl: 0.430081 loss: 1.971767 eta: 16:46:01 batch_cost: 1.1180 data_cost: 0.5866 ips: 57.2432 images/s
[03/19 04:25:58] ppdet.engine INFO: Epoch: [144] [360/458] learning_rate: 0.169300 loss_vfl: 1.065213 loss_bbox: 0.464494 loss_dfl: 0.431673 loss: 1.946442 eta: 16:45:45 batch_cost: 0.9084 data_cost: 0.3148 ips: 70.4514 images/s
[03/19 04:26:16] ppdet.engine INFO: Epoch: [144] [380/458] learning_rate: 0.169227 loss_vfl: 1.031837 loss_bbox: 0.452272 loss_dfl: 0.424509 loss: 1.917430 eta: 16:45:27 batch_cost: 0.7988 data_cost: 0.2185 ips: 80.1243 images/s
[03/19 04:26:36] ppdet.engine INFO: Epoch: [144] [400/458] learning_rate: 0.169154 loss_vfl: 1.054021 loss_bbox: 0.483919 loss_dfl: 0.438654 loss: 1.967010 eta: 16:45:11 batch_cost: 0.9077 data_cost: 0.2909 ips: 70.5104 images/s
[03/19 04:26:58] ppdet.engine INFO: Epoch: [144] [420/458] learning_rate: 0.169080 loss_vfl: 1.017433 loss_bbox: 0.447441 loss_dfl: 0.429266 loss: 1.887951 eta: 16:44:57 batch_cost: 0.9477 data_cost: 0.0003 ips: 67.5342 images/s
[03/19 04:27:15] ppdet.engine INFO: Epoch: [144] [440/458] learning_rate: 0.169007 loss_vfl: 1.114924 loss_bbox: 0.487058 loss_dfl: 0.451409 loss: 2.048509 eta: 16:44:37 batch_cost: 0.7483 data_cost: 0.0127 ips: 85.5322 images/s
[03/19 04:27:38] ppdet.engine INFO: Epoch: [145] [  0/458] learning_rate: 0.168941 loss_vfl: 1.083120 loss_bbox: 0.481926 loss_dfl: 0.439806 loss: 2.008528 eta: 16:44:28 batch_cost: 1.0724 data_cost: 0.2962 ips: 59.6788 images/s
[03/19 04:27:58] ppdet.engine INFO: Epoch: [145] [ 20/458] learning_rate: 0.168868 loss_vfl: 1.068258 loss_bbox: 0.482719 loss_dfl: 0.441324 loss: 1.960279 eta: 16:44:12 batch_cost: 0.8972 data_cost: 0.1684 ips: 71.3328 images/s
[03/19 04:28:20] ppdet.engine INFO: Epoch: [145] [ 40/458] learning_rate: 0.168795 loss_vfl: 1.057874 loss_bbox: 0.447831 loss_dfl: 0.441072 loss: 1.951138 eta: 16:43:58 batch_cost: 0.9859 data_cost: 0.2524 ips: 64.9135 images/s
[03/19 04:28:39] ppdet.engine INFO: Epoch: [145] [ 60/458] learning_rate: 0.168722 loss_vfl: 1.041630 loss_bbox: 0.453023 loss_dfl: 0.421012 loss: 1.929927 eta: 16:43:40 batch_cost: 0.8241 data_cost: 0.0726 ips: 77.6596 images/s
[03/19 04:28:56] ppdet.engine INFO: Epoch: [145] [ 80/458] learning_rate: 0.168648 loss_vfl: 1.051466 loss_bbox: 0.503097 loss_dfl: 0.441994 loss: 1.994580 eta: 16:43:20 batch_cost: 0.7138 data_cost: 0.0031 ips: 89.6652 images/s
[03/19 04:29:13] ppdet.engine INFO: Epoch: [145] [100/458] learning_rate: 0.168575 loss_vfl: 1.062907 loss_bbox: 0.480551 loss_dfl: 0.437209 loss: 1.951433 eta: 16:43:01 batch_cost: 0.7334 data_cost: 0.0543 ips: 87.2654 images/s
[03/19 04:29:28] ppdet.engine INFO: Epoch: [145] [120/458] learning_rate: 0.168502 loss_vfl: 1.086938 loss_bbox: 0.476451 loss_dfl: 0.449673 loss: 2.006150 eta: 16:42:40 batch_cost: 0.6681 data_cost: 0.1676 ips: 95.7996 images/s
[03/19 04:29:45] ppdet.engine INFO: Epoch: [145] [140/458] learning_rate: 0.168429 loss_vfl: 1.046206 loss_bbox: 0.460695 loss_dfl: 0.440439 loss: 1.939755 eta: 16:42:20 batch_cost: 0.6967 data_cost: 0.1500 ips: 91.8665 images/s
[03/19 04:30:06] ppdet.engine INFO: Epoch: [145] [160/458] learning_rate: 0.168355 loss_vfl: 1.055175 loss_bbox: 0.476804 loss_dfl: 0.433702 loss: 1.981198 eta: 16:42:04 batch_cost: 0.9166 data_cost: 0.4196 ips: 69.8270 images/s
[03/19 04:30:29] ppdet.engine INFO: Epoch: [145] [180/458] learning_rate: 0.168282 loss_vfl: 1.049906 loss_bbox: 0.482538 loss_dfl: 0.443580 loss: 1.986536 eta: 16:41:51 batch_cost: 1.0331 data_cost: 0.4573 ips: 61.9501 images/s
[03/19 04:30:48] ppdet.engine INFO: Epoch: [145] [200/458] learning_rate: 0.168209 loss_vfl: 1.031434 loss_bbox: 0.460215 loss_dfl: 0.428497 loss: 1.908052 eta: 16:41:33 batch_cost: 0.7960 data_cost: 0.1687 ips: 80.3982 images/s
[03/19 04:31:08] ppdet.engine INFO: Epoch: [145] [220/458] learning_rate: 0.168136 loss_vfl: 1.037873 loss_bbox: 0.452725 loss_dfl: 0.424329 loss: 1.918540 eta: 16:41:17 batch_cost: 0.9011 data_cost: 0.2693 ips: 71.0238 images/s
[03/19 04:31:29] ppdet.engine INFO: Epoch: [145] [240/458] learning_rate: 0.168063 loss_vfl: 1.057962 loss_bbox: 0.461646 loss_dfl: 0.435562 loss: 1.948461 eta: 16:41:03 batch_cost: 0.9618 data_cost: 0.5009 ips: 66.5408 images/s
[03/19 04:31:44] ppdet.engine INFO: Epoch: [145] [260/458] learning_rate: 0.167989 loss_vfl: 1.072628 loss_bbox: 0.494097 loss_dfl: 0.452536 loss: 2.039329 eta: 16:40:39 batch_cost: 0.5440 data_cost: 0.0568 ips: 117.6451 images/s
[03/19 04:32:04] ppdet.engine INFO: Epoch: [145] [280/458] learning_rate: 0.167916 loss_vfl: 1.035574 loss_bbox: 0.462657 loss_dfl: 0.427959 loss: 1.936524 eta: 16:40:22 batch_cost: 0.8557 data_cost: 0.2570 ips: 74.7907 images/s
[03/19 04:32:27] ppdet.engine INFO: Epoch: [145] [300/458] learning_rate: 0.167843 loss_vfl: 1.086389 loss_bbox: 0.481779 loss_dfl: 0.446969 loss: 1.995292 eta: 16:40:09 batch_cost: 1.0207 data_cost: 0.5559 ips: 62.7024 images/s
[03/19 04:32:44] ppdet.engine INFO: Epoch: [145] [320/458] learning_rate: 0.167770 loss_vfl: 1.006353 loss_bbox: 0.459235 loss_dfl: 0.429351 loss: 1.877668 eta: 16:39:49 batch_cost: 0.7121 data_cost: 0.1201 ips: 89.8692 images/s
[03/19 04:33:02] ppdet.engine INFO: Epoch: [145] [340/458] learning_rate: 0.167696 loss_vfl: 1.053301 loss_bbox: 0.471407 loss_dfl: 0.435309 loss: 1.944071 eta: 16:39:31 batch_cost: 0.7813 data_cost: 0.1907 ips: 81.9188 images/s
[03/19 04:33:23] ppdet.engine INFO: Epoch: [145] [360/458] learning_rate: 0.167623 loss_vfl: 1.037137 loss_bbox: 0.458468 loss_dfl: 0.430124 loss: 1.940339 eta: 16:39:15 batch_cost: 0.9141 data_cost: 0.1165 ips: 70.0174 images/s
[03/19 04:33:45] ppdet.engine INFO: Epoch: [145] [380/458] learning_rate: 0.167550 loss_vfl: 1.029850 loss_bbox: 0.447119 loss_dfl: 0.409679 loss: 1.854366 eta: 16:39:00 batch_cost: 0.9228 data_cost: 0.3869 ips: 69.3549 images/s
[03/19 04:34:04] ppdet.engine INFO: Epoch: [145] [400/458] learning_rate: 0.167477 loss_vfl: 1.106497 loss_bbox: 0.496064 loss_dfl: 0.455174 loss: 2.086906 eta: 16:38:42 batch_cost: 0.8102 data_cost: 0.2701 ips: 78.9972 images/s
[03/19 04:34:24] ppdet.engine INFO: Epoch: [145] [420/458] learning_rate: 0.167403 loss_vfl: 1.091968 loss_bbox: 0.483906 loss_dfl: 0.448031 loss: 1.995613 eta: 16:38:26 batch_cost: 0.8771 data_cost: 0.2931 ips: 72.9715 images/s
[03/19 04:34:45] ppdet.engine INFO: Epoch: [145] [440/458] learning_rate: 0.167330 loss_vfl: 1.076512 loss_bbox: 0.488263 loss_dfl: 0.439741 loss: 1.985823 eta: 16:38:10 batch_cost: 0.8997 data_cost: 0.3646 ips: 71.1386 images/s
[03/19 04:35:07] ppdet.engine INFO: Epoch: [146] [  0/458] learning_rate: 0.167264 loss_vfl: 1.020848 loss_bbox: 0.456042 loss_dfl: 0.434972 loss: 1.933020 eta: 16:37:59 batch_cost: 1.1096 data_cost: 0.6498 ips: 57.6810 images/s
[03/19 04:35:27] ppdet.engine INFO: Epoch: [146] [ 20/458] learning_rate: 0.167191 loss_vfl: 1.064343 loss_bbox: 0.469632 loss_dfl: 0.435392 loss: 1.975147 eta: 16:37:41 batch_cost: 0.7829 data_cost: 0.0416 ips: 81.7506 images/s
[03/19 04:35:46] ppdet.engine INFO: Epoch: [146] [ 40/458] learning_rate: 0.167118 loss_vfl: 1.055713 loss_bbox: 0.460577 loss_dfl: 0.431392 loss: 1.946342 eta: 16:37:23 batch_cost: 0.8021 data_cost: 0.2675 ips: 79.7947 images/s
[03/19 04:36:04] ppdet.engine INFO: Epoch: [146] [ 60/458] learning_rate: 0.167044 loss_vfl: 1.105198 loss_bbox: 0.496081 loss_dfl: 0.453642 loss: 2.034370 eta: 16:37:04 batch_cost: 0.7724 data_cost: 0.3388 ips: 82.8571 images/s
[03/19 04:36:23] ppdet.engine INFO: Epoch: [146] [ 80/458] learning_rate: 0.166971 loss_vfl: 1.056879 loss_bbox: 0.502183 loss_dfl: 0.446819 loss: 2.013805 eta: 16:36:46 batch_cost: 0.7946 data_cost: 0.2184 ips: 80.5485 images/s
[03/19 04:36:38] ppdet.engine INFO: Epoch: [146] [100/458] learning_rate: 0.166898 loss_vfl: 1.014125 loss_bbox: 0.471193 loss_dfl: 0.434382 loss: 1.939289 eta: 16:36:25 batch_cost: 0.6573 data_cost: 0.2010 ips: 97.3633 images/s
[03/19 04:36:51] ppdet.engine INFO: Epoch: [146] [120/458] learning_rate: 0.166825 loss_vfl: 1.031120 loss_bbox: 0.468809 loss_dfl: 0.433718 loss: 1.920559 eta: 16:36:03 batch_cost: 0.5817 data_cost: 0.1603 ips: 110.0263 images/s
[03/19 04:37:10] ppdet.engine INFO: Epoch: [146] [140/458] learning_rate: 0.166751 loss_vfl: 1.118314 loss_bbox: 0.499934 loss_dfl: 0.476869 loss: 2.095589 eta: 16:35:45 batch_cost: 0.8016 data_cost: 0.2362 ips: 79.8383 images/s
[03/19 04:37:31] ppdet.engine INFO: Epoch: [146] [160/458] learning_rate: 0.166678 loss_vfl: 1.052101 loss_bbox: 0.452778 loss_dfl: 0.416942 loss: 1.910476 eta: 16:35:30 batch_cost: 0.9684 data_cost: 0.4129 ips: 66.0890 images/s
[03/19 04:37:50] ppdet.engine INFO: Epoch: [146] [180/458] learning_rate: 0.166605 loss_vfl: 1.049292 loss_bbox: 0.494738 loss_dfl: 0.445683 loss: 1.960600 eta: 16:35:13 batch_cost: 0.8297 data_cost: 0.1156 ips: 77.1364 images/s
[03/19 04:38:12] ppdet.engine INFO: Epoch: [146] [200/458] learning_rate: 0.166532 loss_vfl: 1.096650 loss_bbox: 0.463359 loss_dfl: 0.443392 loss: 2.006192 eta: 16:34:58 batch_cost: 0.9584 data_cost: 0.2125 ips: 66.7793 images/s
[03/19 04:38:32] ppdet.engine INFO: Epoch: [146] [220/458] learning_rate: 0.166458 loss_vfl: 1.095669 loss_bbox: 0.496273 loss_dfl: 0.451976 loss: 2.061972 eta: 16:34:40 batch_cost: 0.8025 data_cost: 0.1549 ips: 79.7516 images/s
[03/19 04:38:50] ppdet.engine INFO: Epoch: [146] [240/458] learning_rate: 0.166385 loss_vfl: 1.034799 loss_bbox: 0.469510 loss_dfl: 0.427056 loss: 1.929956 eta: 16:34:21 batch_cost: 0.7396 data_cost: 0.1497 ips: 86.5347 images/s
[03/19 04:39:12] ppdet.engine INFO: Epoch: [146] [260/458] learning_rate: 0.166312 loss_vfl: 1.082269 loss_bbox: 0.479579 loss_dfl: 0.438506 loss: 2.019217 eta: 16:34:06 batch_cost: 0.9610 data_cost: 0.3783 ips: 66.6007 images/s
[03/19 04:39:29] ppdet.engine INFO: Epoch: [146] [280/458] learning_rate: 0.166239 loss_vfl: 1.057857 loss_bbox: 0.482388 loss_dfl: 0.435155 loss: 1.936593 eta: 16:33:48 batch_cost: 0.7652 data_cost: 0.0732 ips: 83.6345 images/s
[03/19 04:39:50] ppdet.engine INFO: Epoch: [146] [300/458] learning_rate: 0.166165 loss_vfl: 1.095061 loss_bbox: 0.508956 loss_dfl: 0.468819 loss: 2.094234 eta: 16:33:32 batch_cost: 0.9346 data_cost: 0.2799 ips: 68.4804 images/s
[03/19 04:40:10] ppdet.engine INFO: Epoch: [146] [320/458] learning_rate: 0.166092 loss_vfl: 1.041818 loss_bbox: 0.461244 loss_dfl: 0.441886 loss: 1.937971 eta: 16:33:16 batch_cost: 0.8887 data_cost: 0.3808 ips: 72.0134 images/s
[03/19 04:40:31] ppdet.engine INFO: Epoch: [146] [340/458] learning_rate: 0.166019 loss_vfl: 1.067020 loss_bbox: 0.468657 loss_dfl: 0.428555 loss: 1.948854 eta: 16:32:58 batch_cost: 0.8099 data_cost: 0.2545 ips: 79.0267 images/s
[03/19 04:40:51] ppdet.engine INFO: Epoch: [146] [360/458] learning_rate: 0.165945 loss_vfl: 1.057690 loss_bbox: 0.454200 loss_dfl: 0.423165 loss: 1.930590 eta: 16:32:42 batch_cost: 0.8604 data_cost: 0.3059 ips: 74.3834 images/s
[03/19 04:41:09] ppdet.engine INFO: Epoch: [146] [380/458] learning_rate: 0.165872 loss_vfl: 1.098565 loss_bbox: 0.473318 loss_dfl: 0.454253 loss: 2.029189 eta: 16:32:25 batch_cost: 0.8425 data_cost: 0.3905 ips: 75.9654 images/s
[03/19 04:41:29] ppdet.engine INFO: Epoch: [146] [400/458] learning_rate: 0.165799 loss_vfl: 1.044585 loss_bbox: 0.490455 loss_dfl: 0.443970 loss: 1.991425 eta: 16:32:08 batch_cost: 0.8755 data_cost: 0.3254 ips: 73.0975 images/s
[03/19 04:41:50] ppdet.engine INFO: Epoch: [146] [420/458] learning_rate: 0.165726 loss_vfl: 1.027100 loss_bbox: 0.454582 loss_dfl: 0.428117 loss: 1.931935 eta: 16:31:53 batch_cost: 0.9279 data_cost: 0.1476 ips: 68.9761 images/s
[03/19 04:42:11] ppdet.engine INFO: Epoch: [146] [440/458] learning_rate: 0.165652 loss_vfl: 1.089228 loss_bbox: 0.492838 loss_dfl: 0.457323 loss: 2.033317 eta: 16:31:37 batch_cost: 0.9049 data_cost: 0.3668 ips: 70.7270 images/s
[03/19 04:42:31] ppdet.engine INFO: Epoch: [147] [  0/458] learning_rate: 0.165586 loss_vfl: 1.052836 loss_bbox: 0.473465 loss_dfl: 0.441920 loss: 1.978353 eta: 16:31:24 batch_cost: 1.0197 data_cost: 0.5846 ips: 62.7648 images/s
[03/19 04:42:52] ppdet.engine INFO: Epoch: [147] [ 20/458] learning_rate: 0.165513 loss_vfl: 1.068527 loss_bbox: 0.469352 loss_dfl: 0.432873 loss: 1.956991 eta: 16:31:09 batch_cost: 0.9460 data_cost: 0.0871 ips: 67.6567 images/s
[03/19 04:43:14] ppdet.engine INFO: Epoch: [147] [ 40/458] learning_rate: 0.165440 loss_vfl: 1.053577 loss_bbox: 0.482646 loss_dfl: 0.447217 loss: 1.983861 eta: 16:30:54 batch_cost: 0.9470 data_cost: 0.2916 ips: 67.5804 images/s
[03/19 04:43:30] ppdet.engine INFO: Epoch: [147] [ 60/458] learning_rate: 0.165367 loss_vfl: 1.046424 loss_bbox: 0.482250 loss_dfl: 0.434544 loss: 1.949980 eta: 16:30:33 batch_cost: 0.6745 data_cost: 0.0426 ips: 94.8803 images/s
[03/19 04:43:46] ppdet.engine INFO: Epoch: [147] [ 80/458] learning_rate: 0.165293 loss_vfl: 1.045117 loss_bbox: 0.457022 loss_dfl: 0.419125 loss: 1.916272 eta: 16:30:13 batch_cost: 0.7116 data_cost: 0.2667 ips: 89.9322 images/s
[03/19 04:44:01] ppdet.engine INFO: Epoch: [147] [100/458] learning_rate: 0.165220 loss_vfl: 1.096749 loss_bbox: 0.494133 loss_dfl: 0.447200 loss: 2.037787 eta: 16:29:53 batch_cost: 0.6804 data_cost: 0.2787 ips: 94.0678 images/s
[03/19 04:44:21] ppdet.engine INFO: Epoch: [147] [120/458] learning_rate: 0.165147 loss_vfl: 1.043722 loss_bbox: 0.483185 loss_dfl: 0.430094 loss: 1.958873 eta: 16:29:37 batch_cost: 0.9178 data_cost: 0.3849 ips: 69.7348 images/s
[03/19 04:44:39] ppdet.engine INFO: Epoch: [147] [140/458] learning_rate: 0.165073 loss_vfl: 1.083460 loss_bbox: 0.493505 loss_dfl: 0.458792 loss: 2.073606 eta: 16:29:19 batch_cost: 0.7912 data_cost: 0.2097 ips: 80.8880 images/s
[03/19 04:45:00] ppdet.engine INFO: Epoch: [147] [160/458] learning_rate: 0.165000 loss_vfl: 1.014833 loss_bbox: 0.466471 loss_dfl: 0.427862 loss: 1.913140 eta: 16:29:03 batch_cost: 0.8938 data_cost: 0.1808 ips: 71.6039 images/s
[03/19 04:45:21] ppdet.engine INFO: Epoch: [147] [180/458] learning_rate: 0.164927 loss_vfl: 1.096272 loss_bbox: 0.485463 loss_dfl: 0.457953 loss: 2.053189 eta: 16:28:47 batch_cost: 0.8900 data_cost: 0.0363 ips: 71.9066 images/s
[03/19 04:45:40] ppdet.engine INFO: Epoch: [147] [200/458] learning_rate: 0.164853 loss_vfl: 1.032464 loss_bbox: 0.447500 loss_dfl: 0.422541 loss: 1.892977 eta: 16:28:30 batch_cost: 0.8561 data_cost: 0.0476 ips: 74.7592 images/s
[03/19 04:46:02] ppdet.engine INFO: Epoch: [147] [220/458] learning_rate: 0.164780 loss_vfl: 1.037115 loss_bbox: 0.455487 loss_dfl: 0.429595 loss: 1.944859 eta: 16:28:17 batch_cost: 1.0330 data_cost: 0.0072 ips: 61.9568 images/s
[03/19 04:46:21] ppdet.engine INFO: Epoch: [147] [240/458] learning_rate: 0.164707 loss_vfl: 1.098996 loss_bbox: 0.491525 loss_dfl: 0.454663 loss: 2.067412 eta: 16:27:58 batch_cost: 0.7534 data_cost: 0.0042 ips: 84.9427 images/s
[03/19 04:46:41] ppdet.engine INFO: Epoch: [147] [260/458] learning_rate: 0.164634 loss_vfl: 1.063835 loss_bbox: 0.475498 loss_dfl: 0.443107 loss: 1.974596 eta: 16:27:41 batch_cost: 0.8679 data_cost: 0.0054 ips: 73.7423 images/s
[03/19 04:46:59] ppdet.engine INFO: Epoch: [147] [280/458] learning_rate: 0.164560 loss_vfl: 1.051819 loss_bbox: 0.464977 loss_dfl: 0.432869 loss: 1.952416 eta: 16:27:22 batch_cost: 0.7256 data_cost: 0.0515 ips: 88.2004 images/s
[03/19 04:47:18] ppdet.engine INFO: Epoch: [147] [300/458] learning_rate: 0.164487 loss_vfl: 1.035204 loss_bbox: 0.477417 loss_dfl: 0.441734 loss: 1.965816 eta: 16:27:05 batch_cost: 0.8378 data_cost: 0.0579 ips: 76.3939 images/s
[03/19 04:47:40] ppdet.engine INFO: Epoch: [147] [320/458] learning_rate: 0.164414 loss_vfl: 1.087805 loss_bbox: 0.463941 loss_dfl: 0.444859 loss: 1.991316 eta: 16:26:50 batch_cost: 0.9782 data_cost: 0.4951 ips: 65.4263 images/s
[03/19 04:48:00] ppdet.engine INFO: Epoch: [147] [340/458] learning_rate: 0.164340 loss_vfl: 1.064725 loss_bbox: 0.479727 loss_dfl: 0.456331 loss: 2.024514 eta: 16:26:33 batch_cost: 0.8534 data_cost: 0.3367 ips: 74.9908 images/s
[03/19 04:48:20] ppdet.engine INFO: Epoch: [147] [360/458] learning_rate: 0.164267 loss_vfl: 1.129594 loss_bbox: 0.512146 loss_dfl: 0.471710 loss: 2.127465 eta: 16:26:17 batch_cost: 0.8730 data_cost: 0.3338 ips: 73.3068 images/s
[03/19 04:48:38] ppdet.engine INFO: Epoch: [147] [380/458] learning_rate: 0.164194 loss_vfl: 1.020758 loss_bbox: 0.440574 loss_dfl: 0.410988 loss: 1.861443 eta: 16:25:59 batch_cost: 0.7922 data_cost: 0.2365 ips: 80.7866 images/s
[03/19 04:48:57] ppdet.engine INFO: Epoch: [147] [400/458] learning_rate: 0.164121 loss_vfl: 1.062753 loss_bbox: 0.483358 loss_dfl: 0.442691 loss: 1.997758 eta: 16:25:42 batch_cost: 0.8645 data_cost: 0.1654 ips: 74.0355 images/s
[03/19 04:49:19] ppdet.engine INFO: Epoch: [147] [420/458] learning_rate: 0.164047 loss_vfl: 1.044207 loss_bbox: 0.470304 loss_dfl: 0.425996 loss: 1.941624 eta: 16:25:28 batch_cost: 0.9664 data_cost: 0.3153 ips: 66.2225 images/s
[03/19 04:49:37] ppdet.engine INFO: Epoch: [147] [440/458] learning_rate: 0.163974 loss_vfl: 1.051929 loss_bbox: 0.472670 loss_dfl: 0.430182 loss: 1.927511 eta: 16:25:10 batch_cost: 0.7988 data_cost: 0.2177 ips: 80.1183 images/s
[03/19 04:50:01] ppdet.engine INFO: Epoch: [148] [  0/458] learning_rate: 0.163908 loss_vfl: 1.086088 loss_bbox: 0.477521 loss_dfl: 0.437187 loss: 1.974020 eta: 16:25:00 batch_cost: 1.1064 data_cost: 0.6430 ips: 57.8436 images/s
[03/19 04:50:19] ppdet.engine INFO: Epoch: [148] [ 20/458] learning_rate: 0.163835 loss_vfl: 1.058715 loss_bbox: 0.475160 loss_dfl: 0.439095 loss: 1.959428 eta: 16:24:42 batch_cost: 0.7997 data_cost: 0.1998 ips: 80.0288 images/s
[03/19 04:50:39] ppdet.engine INFO: Epoch: [148] [ 40/458] learning_rate: 0.163761 loss_vfl: 1.121390 loss_bbox: 0.509658 loss_dfl: 0.455842 loss: 2.079276 eta: 16:24:25 batch_cost: 0.8486 data_cost: 0.2665 ips: 75.4186 images/s
[03/19 04:50:55] ppdet.engine INFO: Epoch: [148] [ 60/458] learning_rate: 0.163688 loss_vfl: 1.004415 loss_bbox: 0.481108 loss_dfl: 0.435642 loss: 1.934157 eta: 16:24:03 batch_cost: 0.6393 data_cost: 0.1543 ips: 100.1072 images/s
[03/19 04:51:09] ppdet.engine INFO: Epoch: [148] [ 80/458] learning_rate: 0.163615 loss_vfl: 1.046064 loss_bbox: 0.489621 loss_dfl: 0.442627 loss: 1.955945 eta: 16:23:42 batch_cost: 0.6193 data_cost: 0.0065 ips: 103.3349 images/s
[03/19 04:51:27] ppdet.engine INFO: Epoch: [148] [100/458] learning_rate: 0.163541 loss_vfl: 1.069789 loss_bbox: 0.501628 loss_dfl: 0.459688 loss: 2.016939 eta: 16:23:23 batch_cost: 0.7438 data_cost: 0.0085 ips: 86.0475 images/s
[03/19 04:51:43] ppdet.engine INFO: Epoch: [148] [120/458] learning_rate: 0.163468 loss_vfl: 1.056364 loss_bbox: 0.458869 loss_dfl: 0.433231 loss: 1.950409 eta: 16:23:03 batch_cost: 0.6988 data_cost: 0.0051 ips: 91.5888 images/s
[03/19 04:52:03] ppdet.engine INFO: Epoch: [148] [140/458] learning_rate: 0.163395 loss_vfl: 1.082656 loss_bbox: 0.484588 loss_dfl: 0.450720 loss: 2.033959 eta: 16:22:47 batch_cost: 0.9182 data_cost: 0.0004 ips: 69.7022 images/s
[03/19 04:52:25] ppdet.engine INFO: Epoch: [148] [160/458] learning_rate: 0.163321 loss_vfl: 1.040637 loss_bbox: 0.467927 loss_dfl: 0.437850 loss: 1.950284 eta: 16:22:33 batch_cost: 0.9792 data_cost: 0.3607 ips: 65.3604 images/s
[03/19 04:52:46] ppdet.engine INFO: Epoch: [148] [180/458] learning_rate: 0.163248 loss_vfl: 1.002911 loss_bbox: 0.426426 loss_dfl: 0.404731 loss: 1.833896 eta: 16:22:18 batch_cost: 0.9408 data_cost: 0.4351 ips: 68.0305 images/s
[03/19 04:53:09] ppdet.engine INFO: Epoch: [148] [200/458] learning_rate: 0.163175 loss_vfl: 1.017450 loss_bbox: 0.461833 loss_dfl: 0.426229 loss: 1.907151 eta: 16:22:05 batch_cost: 1.0363 data_cost: 0.5573 ips: 61.7573 images/s
[03/19 04:53:27] ppdet.engine INFO: Epoch: [148] [220/458] learning_rate: 0.163102 loss_vfl: 1.080507 loss_bbox: 0.482062 loss_dfl: 0.453648 loss: 2.050187 eta: 16:21:48 batch_cost: 0.8626 data_cost: 0.3508 ips: 74.1923 images/s
[03/19 04:53:44] ppdet.engine INFO: Epoch: [148] [240/458] learning_rate: 0.163028 loss_vfl: 1.014932 loss_bbox: 0.458952 loss_dfl: 0.415224 loss: 1.897052 eta: 16:21:29 batch_cost: 0.7686 data_cost: 0.2600 ips: 83.2662 images/s
[03/19 04:54:05] ppdet.engine INFO: Epoch: [148] [260/458] learning_rate: 0.162955 loss_vfl: 1.095208 loss_bbox: 0.499884 loss_dfl: 0.451354 loss: 2.033813 eta: 16:21:14 batch_cost: 0.9211 data_cost: 0.4994 ips: 69.4828 images/s
[03/19 04:54:26] ppdet.engine INFO: Epoch: [148] [280/458] learning_rate: 0.162882 loss_vfl: 1.109063 loss_bbox: 0.505773 loss_dfl: 0.466315 loss: 2.099008 eta: 16:20:59 batch_cost: 0.9377 data_cost: 0.4864 ips: 68.2508 images/s
[03/19 04:54:43] ppdet.engine INFO: Epoch: [148] [300/458] learning_rate: 0.162808 loss_vfl: 1.025791 loss_bbox: 0.489330 loss_dfl: 0.440188 loss: 1.944895 eta: 16:20:40 batch_cost: 0.7610 data_cost: 0.2907 ips: 84.0947 images/s
[03/19 04:55:05] ppdet.engine INFO: Epoch: [148] [320/458] learning_rate: 0.162735 loss_vfl: 1.061446 loss_bbox: 0.479323 loss_dfl: 0.440319 loss: 1.986678 eta: 16:20:26 batch_cost: 1.0100 data_cost: 0.5830 ips: 63.3655 images/s
[03/19 04:55:25] ppdet.engine INFO: Epoch: [148] [340/458] learning_rate: 0.162662 loss_vfl: 1.072879 loss_bbox: 0.491619 loss_dfl: 0.454918 loss: 2.033598 eta: 16:20:10 batch_cost: 0.8879 data_cost: 0.4354 ips: 72.0811 images/s
[03/19 04:55:41] ppdet.engine INFO: Epoch: [148] [360/458] learning_rate: 0.162588 loss_vfl: 1.074659 loss_bbox: 0.475928 loss_dfl: 0.443605 loss: 2.007695 eta: 16:19:49 batch_cost: 0.6631 data_cost: 0.0872 ips: 96.5199 images/s
[03/19 04:56:01] ppdet.engine INFO: Epoch: [148] [380/458] learning_rate: 0.162515 loss_vfl: 1.079142 loss_bbox: 0.471837 loss_dfl: 0.435358 loss: 1.995272 eta: 16:19:34 batch_cost: 0.9222 data_cost: 0.2084 ips: 69.3968 images/s
[03/19 04:56:24] ppdet.engine INFO: Epoch: [148] [400/458] learning_rate: 0.162442 loss_vfl: 1.078022 loss_bbox: 0.486338 loss_dfl: 0.447194 loss: 2.049586 eta: 16:19:20 batch_cost: 1.0227 data_cost: 0.2001 ips: 62.5796 images/s
[03/19 04:56:39] ppdet.engine INFO: Epoch: [148] [420/458] learning_rate: 0.162368 loss_vfl: 1.007538 loss_bbox: 0.467353 loss_dfl: 0.427091 loss: 1.913342 eta: 16:19:00 batch_cost: 0.7032 data_cost: 0.2224 ips: 91.0091 images/s
[03/19 04:56:57] ppdet.engine INFO: Epoch: [148] [440/458] learning_rate: 0.162295 loss_vfl: 1.032191 loss_bbox: 0.460811 loss_dfl: 0.425749 loss: 1.928984 eta: 16:18:42 batch_cost: 0.7875 data_cost: 0.1520 ips: 81.2721 images/s
[03/19 04:57:20] ppdet.engine INFO: Epoch: [149] [  0/458] learning_rate: 0.162229 loss_vfl: 1.050825 loss_bbox: 0.473837 loss_dfl: 0.430086 loss: 1.951790 eta: 16:18:31 batch_cost: 1.0502 data_cost: 0.4572 ips: 60.9421 images/s
[03/19 04:57:39] ppdet.engine INFO: Epoch: [149] [ 20/458] learning_rate: 0.162156 loss_vfl: 1.056372 loss_bbox: 0.480487 loss_dfl: 0.445903 loss: 1.983516 eta: 16:18:15 batch_cost: 0.8935 data_cost: 0.2901 ips: 71.6247 images/s
[03/19 04:58:00] ppdet.engine INFO: Epoch: [149] [ 40/458] learning_rate: 0.162082 loss_vfl: 0.987558 loss_bbox: 0.449581 loss_dfl: 0.410864 loss: 1.847392 eta: 16:18:00 batch_cost: 0.9264 data_cost: 0.3182 ips: 69.0850 images/s
[03/19 04:58:16] ppdet.engine INFO: Epoch: [149] [ 60/458] learning_rate: 0.162009 loss_vfl: 1.082841 loss_bbox: 0.474073 loss_dfl: 0.446206 loss: 2.000469 eta: 16:17:39 batch_cost: 0.6476 data_cost: 0.0682 ips: 98.8318 images/s
[03/19 04:58:28] ppdet.engine INFO: Epoch: [149] [ 80/458] learning_rate: 0.161936 loss_vfl: 1.056803 loss_bbox: 0.466149 loss_dfl: 0.429571 loss: 1.967005 eta: 16:17:16 batch_cost: 0.5510 data_cost: 0.0008 ips: 116.1480 images/s
[03/19 04:58:47] ppdet.engine INFO: Epoch: [149] [100/458] learning_rate: 0.161862 loss_vfl: 1.097371 loss_bbox: 0.515120 loss_dfl: 0.465204 loss: 2.080178 eta: 16:16:58 batch_cost: 0.8140 data_cost: 0.0022 ips: 78.6260 images/s
[03/19 04:59:06] ppdet.engine INFO: Epoch: [149] [120/458] learning_rate: 0.161789 loss_vfl: 1.068882 loss_bbox: 0.488758 loss_dfl: 0.438589 loss: 1.998231 eta: 16:16:41 batch_cost: 0.8234 data_cost: 0.0041 ips: 77.7296 images/s
[03/19 04:59:27] ppdet.engine INFO: Epoch: [149] [140/458] learning_rate: 0.161716 loss_vfl: 1.027964 loss_bbox: 0.455028 loss_dfl: 0.426630 loss: 1.896327 eta: 16:16:26 batch_cost: 0.9549 data_cost: 0.0669 ips: 67.0201 images/s
[03/19 04:59:46] ppdet.engine INFO: Epoch: [149] [160/458] learning_rate: 0.161642 loss_vfl: 0.996784 loss_bbox: 0.449667 loss_dfl: 0.422263 loss: 1.868177 eta: 16:16:07 batch_cost: 0.7682 data_cost: 0.0943 ips: 83.3101 images/s
[03/19 05:00:06] ppdet.engine INFO: Epoch: [149] [180/458] learning_rate: 0.161569 loss_vfl: 1.098508 loss_bbox: 0.483520 loss_dfl: 0.447831 loss: 2.014659 eta: 16:15:51 batch_cost: 0.8847 data_cost: 0.0037 ips: 72.3448 images/s
[03/19 05:00:27] ppdet.engine INFO: Epoch: [149] [200/458] learning_rate: 0.161496 loss_vfl: 1.019782 loss_bbox: 0.455009 loss_dfl: 0.421451 loss: 1.884451 eta: 16:15:36 batch_cost: 0.9505 data_cost: 0.0044 ips: 67.3337 images/s
[03/19 05:00:44] ppdet.engine INFO: Epoch: [149] [220/458] learning_rate: 0.161423 loss_vfl: 1.036505 loss_bbox: 0.480261 loss_dfl: 0.437201 loss: 1.953300 eta: 16:15:17 batch_cost: 0.7316 data_cost: 0.0089 ips: 87.4753 images/s
[03/19 05:01:05] ppdet.engine INFO: Epoch: [149] [240/458] learning_rate: 0.161349 loss_vfl: 1.027717 loss_bbox: 0.447661 loss_dfl: 0.420395 loss: 1.912504 eta: 16:15:02 batch_cost: 0.9434 data_cost: 0.0060 ips: 67.8408 images/s
[03/19 05:01:23] ppdet.engine INFO: Epoch: [149] [260/458] learning_rate: 0.161276 loss_vfl: 1.047139 loss_bbox: 0.467541 loss_dfl: 0.432991 loss: 1.958626 eta: 16:14:44 batch_cost: 0.8256 data_cost: 0.0006 ips: 77.5219 images/s
[03/19 05:01:42] ppdet.engine INFO: Epoch: [149] [280/458] learning_rate: 0.161203 loss_vfl: 1.026169 loss_bbox: 0.464574 loss_dfl: 0.426649 loss: 1.946334 eta: 16:14:27 batch_cost: 0.8241 data_cost: 0.0013 ips: 77.6621 images/s
[03/19 05:01:58] ppdet.engine INFO: Epoch: [149] [300/458] learning_rate: 0.161129 loss_vfl: 1.077322 loss_bbox: 0.497740 loss_dfl: 0.452720 loss: 2.039079 eta: 16:14:07 batch_cost: 0.6993 data_cost: 0.0017 ips: 91.5136 images/s
[03/19 05:02:19] ppdet.engine INFO: Epoch: [149] [320/458] learning_rate: 0.161056 loss_vfl: 1.026717 loss_bbox: 0.442722 loss_dfl: 0.419168 loss: 1.898351 eta: 16:13:50 batch_cost: 0.8723 data_cost: 0.1331 ips: 73.3685 images/s
[03/19 05:02:37] ppdet.engine INFO: Epoch: [149] [340/458] learning_rate: 0.160983 loss_vfl: 1.000880 loss_bbox: 0.462714 loss_dfl: 0.429160 loss: 1.899924 eta: 16:13:32 batch_cost: 0.7889 data_cost: 0.0237 ips: 81.1214 images/s
[03/19 05:02:57] ppdet.engine INFO: Epoch: [149] [360/458] learning_rate: 0.160909 loss_vfl: 1.043473 loss_bbox: 0.464467 loss_dfl: 0.425346 loss: 1.927204 eta: 16:13:16 batch_cost: 0.8811 data_cost: 0.0008 ips: 72.6340 images/s
[03/19 05:03:17] ppdet.engine INFO: Epoch: [149] [380/458] learning_rate: 0.160836 loss_vfl: 1.003480 loss_bbox: 0.451501 loss_dfl: 0.413600 loss: 1.868210 eta: 16:13:00 batch_cost: 0.9034 data_cost: 0.2861 ips: 70.8430 images/s
[03/19 05:03:38] ppdet.engine INFO: Epoch: [149] [400/458] learning_rate: 0.160763 loss_vfl: 1.107831 loss_bbox: 0.486106 loss_dfl: 0.452891 loss: 2.054652 eta: 16:12:44 batch_cost: 0.9298 data_cost: 0.0247 ips: 68.8342 images/s
[03/19 05:03:58] ppdet.engine INFO: Epoch: [149] [420/458] learning_rate: 0.160689 loss_vfl: 1.115606 loss_bbox: 0.478885 loss_dfl: 0.448255 loss: 2.042161 eta: 16:12:28 batch_cost: 0.8634 data_cost: 0.0049 ips: 74.1288 images/s
[03/19 05:04:14] ppdet.engine INFO: Epoch: [149] [440/458] learning_rate: 0.160616 loss_vfl: 1.065557 loss_bbox: 0.491876 loss_dfl: 0.436086 loss: 2.010402 eta: 16:12:08 batch_cost: 0.7135 data_cost: 0.0136 ips: 89.7016 images/s
[03/19 05:04:30] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 05:04:30] ppdet.engine INFO: Eval iter: 0
[03/19 05:04:48] ppdet.engine INFO: Eval iter: 100
[03/19 05:04:57] ppdet.engine INFO: Eval iter: 200
[03/19 05:05:06] ppdet.engine INFO: Eval iter: 300
[03/19 05:05:15] ppdet.engine INFO: Eval iter: 400
[03/19 05:05:23] ppdet.engine INFO: Eval iter: 500
[03/19 05:05:31] ppdet.engine INFO: Eval iter: 600
[03/19 05:05:44] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.60s)
creating index...
index created!
[03/19 05:05:45] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.19s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.42s).
Accumulating evaluation results...
DONE (t=15.56s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.210
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.323
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.218
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.055
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.203
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.377
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.227
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.363
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.384
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.104
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.420
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.656
[03/19 05:07:24] ppdet.engine INFO: Total sample number: 4952, averge FPS: 78.27775013962008
[03/19 05:07:24] ppdet.engine INFO: Best test bbox ap is 0.210.
[03/19 05:07:24] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 05:07:25] ppdet.engine INFO: Epoch: [150] [  0/458] learning_rate: 0.160550 loss_vfl: 1.079497 loss_bbox: 0.478400 loss_dfl: 0.435274 loss: 1.968347 eta: 16:11:50 batch_cost: 0.6840 data_cost: 0.2866 ips: 93.5694 images/s
[03/19 05:07:39] ppdet.engine INFO: Epoch: [150] [ 20/458] learning_rate: 0.160477 loss_vfl: 1.040786 loss_bbox: 0.475710 loss_dfl: 0.436519 loss: 1.958293 eta: 16:11:28 batch_cost: 0.6265 data_cost: 0.1448 ips: 102.1560 images/s
[03/19 05:08:02] ppdet.engine INFO: Epoch: [150] [ 40/458] learning_rate: 0.160403 loss_vfl: 1.136794 loss_bbox: 0.515861 loss_dfl: 0.470573 loss: 2.100085 eta: 16:11:15 batch_cost: 1.0455 data_cost: 0.4053 ips: 61.2132 images/s
[03/19 05:08:22] ppdet.engine INFO: Epoch: [150] [ 60/458] learning_rate: 0.160330 loss_vfl: 1.044477 loss_bbox: 0.461367 loss_dfl: 0.417535 loss: 1.913021 eta: 16:10:59 batch_cost: 0.9031 data_cost: 0.3546 ips: 70.8704 images/s
[03/19 05:08:39] ppdet.engine INFO: Epoch: [150] [ 80/458] learning_rate: 0.160257 loss_vfl: 1.062334 loss_bbox: 0.471895 loss_dfl: 0.435253 loss: 1.982612 eta: 16:10:41 batch_cost: 0.7798 data_cost: 0.2699 ips: 82.0706 images/s
[03/19 05:09:03] ppdet.engine INFO: Epoch: [150] [100/458] learning_rate: 0.160183 loss_vfl: 1.064419 loss_bbox: 0.468537 loss_dfl: 0.452597 loss: 2.017622 eta: 16:10:29 batch_cost: 1.0748 data_cost: 0.3949 ips: 59.5455 images/s
[03/19 05:09:22] ppdet.engine INFO: Epoch: [150] [120/458] learning_rate: 0.160110 loss_vfl: 1.040532 loss_bbox: 0.461632 loss_dfl: 0.440336 loss: 1.965243 eta: 16:10:11 batch_cost: 0.8197 data_cost: 0.0860 ips: 78.0800 images/s
[03/19 05:09:40] ppdet.engine INFO: Epoch: [150] [140/458] learning_rate: 0.160037 loss_vfl: 1.106217 loss_bbox: 0.484246 loss_dfl: 0.456338 loss: 2.039468 eta: 16:09:53 batch_cost: 0.8138 data_cost: 0.1501 ips: 78.6444 images/s
[03/19 05:10:00] ppdet.engine INFO: Epoch: [150] [160/458] learning_rate: 0.159963 loss_vfl: 1.100117 loss_bbox: 0.484131 loss_dfl: 0.453614 loss: 2.059238 eta: 16:09:38 batch_cost: 0.9159 data_cost: 0.3623 ips: 69.8783 images/s
[03/19 05:10:19] ppdet.engine INFO: Epoch: [150] [180/458] learning_rate: 0.159890 loss_vfl: 1.050488 loss_bbox: 0.474240 loss_dfl: 0.438180 loss: 1.994765 eta: 16:09:21 batch_cost: 0.8775 data_cost: 0.2976 ips: 72.9336 images/s
[03/19 05:10:40] ppdet.engine INFO: Epoch: [150] [200/458] learning_rate: 0.159817 loss_vfl: 1.063194 loss_bbox: 0.475383 loss_dfl: 0.441909 loss: 2.005430 eta: 16:09:06 batch_cost: 0.9349 data_cost: 0.3541 ips: 68.4574 images/s
[03/19 05:10:58] ppdet.engine INFO: Epoch: [150] [220/458] learning_rate: 0.159743 loss_vfl: 1.041484 loss_bbox: 0.457658 loss_dfl: 0.420610 loss: 1.894298 eta: 16:08:49 batch_cost: 0.8381 data_cost: 0.2614 ips: 76.3629 images/s
[03/19 05:11:17] ppdet.engine INFO: Epoch: [150] [240/458] learning_rate: 0.159670 loss_vfl: 1.096338 loss_bbox: 0.516981 loss_dfl: 0.464422 loss: 2.076664 eta: 16:08:31 batch_cost: 0.8230 data_cost: 0.2873 ips: 77.7614 images/s
[03/19 05:11:37] ppdet.engine INFO: Epoch: [150] [260/458] learning_rate: 0.159597 loss_vfl: 1.101305 loss_bbox: 0.489036 loss_dfl: 0.452032 loss: 2.045662 eta: 16:08:14 batch_cost: 0.8544 data_cost: 0.2231 ips: 74.9061 images/s
[03/19 05:11:56] ppdet.engine INFO: Epoch: [150] [280/458] learning_rate: 0.159523 loss_vfl: 1.082379 loss_bbox: 0.480975 loss_dfl: 0.443405 loss: 2.014657 eta: 16:07:58 batch_cost: 0.8548 data_cost: 0.2724 ips: 74.8694 images/s
[03/19 05:12:16] ppdet.engine INFO: Epoch: [150] [300/458] learning_rate: 0.159450 loss_vfl: 1.024332 loss_bbox: 0.451599 loss_dfl: 0.416205 loss: 1.886870 eta: 16:07:41 batch_cost: 0.8802 data_cost: 0.2739 ips: 72.7083 images/s
[03/19 05:12:31] ppdet.engine INFO: Epoch: [150] [320/458] learning_rate: 0.159377 loss_vfl: 1.009123 loss_bbox: 0.444106 loss_dfl: 0.417027 loss: 1.862888 eta: 16:07:22 batch_cost: 0.7154 data_cost: 0.2499 ips: 89.4556 images/s
[03/19 05:12:45] ppdet.engine INFO: Epoch: [150] [340/458] learning_rate: 0.159303 loss_vfl: 1.068812 loss_bbox: 0.501090 loss_dfl: 0.447702 loss: 2.011382 eta: 16:07:00 batch_cost: 0.5976 data_cost: 0.1750 ips: 107.0897 images/s
[03/19 05:13:02] ppdet.engine INFO: Epoch: [150] [360/458] learning_rate: 0.159230 loss_vfl: 1.063982 loss_bbox: 0.493798 loss_dfl: 0.457452 loss: 2.044129 eta: 16:06:40 batch_cost: 0.7346 data_cost: 0.1179 ips: 87.1243 images/s
[03/19 05:13:20] ppdet.engine INFO: Epoch: [150] [380/458] learning_rate: 0.159157 loss_vfl: 1.035497 loss_bbox: 0.458524 loss_dfl: 0.422451 loss: 1.928771 eta: 16:06:22 batch_cost: 0.7900 data_cost: 0.1428 ips: 81.0123 images/s
[03/19 05:13:40] ppdet.engine INFO: Epoch: [150] [400/458] learning_rate: 0.159083 loss_vfl: 1.020805 loss_bbox: 0.444130 loss_dfl: 0.414397 loss: 1.869246 eta: 16:06:07 batch_cost: 0.9124 data_cost: 0.0023 ips: 70.1442 images/s
[03/19 05:13:59] ppdet.engine INFO: Epoch: [150] [420/458] learning_rate: 0.159010 loss_vfl: 1.109800 loss_bbox: 0.482146 loss_dfl: 0.443162 loss: 2.005076 eta: 16:05:50 batch_cost: 0.8695 data_cost: 0.0861 ips: 73.6062 images/s
[03/19 05:14:20] ppdet.engine INFO: Epoch: [150] [440/458] learning_rate: 0.158937 loss_vfl: 1.044443 loss_bbox: 0.457349 loss_dfl: 0.423701 loss: 1.910892 eta: 16:05:35 batch_cost: 0.9436 data_cost: 0.2151 ips: 67.8235 images/s
[03/19 05:14:42] ppdet.engine INFO: Epoch: [151] [  0/458] learning_rate: 0.158871 loss_vfl: 1.056296 loss_bbox: 0.480316 loss_dfl: 0.435549 loss: 1.970016 eta: 16:05:24 batch_cost: 1.1690 data_cost: 0.5107 ips: 54.7485 images/s
[03/19 05:14:59] ppdet.engine INFO: Epoch: [151] [ 20/458] learning_rate: 0.158797 loss_vfl: 1.065573 loss_bbox: 0.474836 loss_dfl: 0.435974 loss: 1.991599 eta: 16:05:05 batch_cost: 0.7363 data_cost: 0.0039 ips: 86.9213 images/s
[03/19 05:15:21] ppdet.engine INFO: Epoch: [151] [ 40/458] learning_rate: 0.158724 loss_vfl: 1.059162 loss_bbox: 0.468995 loss_dfl: 0.442851 loss: 1.994480 eta: 16:04:51 batch_cost: 1.0425 data_cost: 0.0045 ips: 61.3906 images/s
[03/19 05:15:42] ppdet.engine INFO: Epoch: [151] [ 60/458] learning_rate: 0.158651 loss_vfl: 1.013332 loss_bbox: 0.453264 loss_dfl: 0.427757 loss: 1.891398 eta: 16:04:37 batch_cost: 0.9670 data_cost: 0.0020 ips: 66.1847 images/s
[03/19 05:16:02] ppdet.engine INFO: Epoch: [151] [ 80/458] learning_rate: 0.158577 loss_vfl: 1.053200 loss_bbox: 0.470863 loss_dfl: 0.448636 loss: 1.977881 eta: 16:04:21 batch_cost: 0.8857 data_cost: 0.0016 ips: 72.2569 images/s
[03/19 05:16:20] ppdet.engine INFO: Epoch: [151] [100/458] learning_rate: 0.158504 loss_vfl: 1.023652 loss_bbox: 0.458097 loss_dfl: 0.422597 loss: 1.911077 eta: 16:04:03 batch_cost: 0.8305 data_cost: 0.0042 ips: 77.0639 images/s
[03/19 05:16:40] ppdet.engine INFO: Epoch: [151] [120/458] learning_rate: 0.158431 loss_vfl: 1.072511 loss_bbox: 0.472160 loss_dfl: 0.436536 loss: 1.973793 eta: 16:03:47 batch_cost: 0.8804 data_cost: 0.0007 ips: 72.6933 images/s
[03/19 05:17:03] ppdet.engine INFO: Epoch: [151] [140/458] learning_rate: 0.158358 loss_vfl: 1.053940 loss_bbox: 0.472188 loss_dfl: 0.437522 loss: 1.958071 eta: 16:03:34 batch_cost: 1.0627 data_cost: 0.0028 ips: 60.2247 images/s
[03/19 05:17:20] ppdet.engine INFO: Epoch: [151] [160/458] learning_rate: 0.158284 loss_vfl: 1.082479 loss_bbox: 0.487801 loss_dfl: 0.449987 loss: 2.020727 eta: 16:03:16 batch_cost: 0.7728 data_cost: 0.0029 ips: 82.8188 images/s
[03/19 05:17:39] ppdet.engine INFO: Epoch: [151] [180/458] learning_rate: 0.158211 loss_vfl: 1.053572 loss_bbox: 0.458867 loss_dfl: 0.426494 loss: 1.947409 eta: 16:02:58 batch_cost: 0.8147 data_cost: 0.0023 ips: 78.5586 images/s
[03/19 05:18:00] ppdet.engine INFO: Epoch: [151] [200/458] learning_rate: 0.158138 loss_vfl: 1.040069 loss_bbox: 0.457075 loss_dfl: 0.429780 loss: 1.920374 eta: 16:02:42 batch_cost: 0.9255 data_cost: 0.0010 ips: 69.1536 images/s
[03/19 05:18:20] ppdet.engine INFO: Epoch: [151] [220/458] learning_rate: 0.158064 loss_vfl: 1.121634 loss_bbox: 0.498003 loss_dfl: 0.464830 loss: 2.092771 eta: 16:02:26 batch_cost: 0.8955 data_cost: 0.0088 ips: 71.4695 images/s
[03/19 05:18:38] ppdet.engine INFO: Epoch: [151] [240/458] learning_rate: 0.157991 loss_vfl: 1.066307 loss_bbox: 0.454408 loss_dfl: 0.439071 loss: 1.951194 eta: 16:02:10 batch_cost: 0.8585 data_cost: 0.0005 ips: 74.5518 images/s
[03/19 05:19:00] ppdet.engine INFO: Epoch: [151] [260/458] learning_rate: 0.157918 loss_vfl: 1.032881 loss_bbox: 0.475003 loss_dfl: 0.436875 loss: 1.971381 eta: 16:01:55 batch_cost: 0.9499 data_cost: 0.0023 ips: 67.3754 images/s
[03/19 05:19:20] ppdet.engine INFO: Epoch: [151] [280/458] learning_rate: 0.157844 loss_vfl: 1.059453 loss_bbox: 0.458835 loss_dfl: 0.438250 loss: 1.961549 eta: 16:01:39 batch_cost: 0.9236 data_cost: 0.0003 ips: 69.2958 images/s
[03/19 05:19:35] ppdet.engine INFO: Epoch: [151] [300/458] learning_rate: 0.157771 loss_vfl: 1.092034 loss_bbox: 0.503582 loss_dfl: 0.461146 loss: 2.060908 eta: 16:01:18 batch_cost: 0.6239 data_cost: 0.0006 ips: 102.5732 images/s
[03/19 05:19:50] ppdet.engine INFO: Epoch: [151] [320/458] learning_rate: 0.157698 loss_vfl: 1.062581 loss_bbox: 0.468426 loss_dfl: 0.439493 loss: 1.965640 eta: 16:00:57 batch_cost: 0.6731 data_cost: 0.0062 ips: 95.0849 images/s
[03/19 05:20:05] ppdet.engine INFO: Epoch: [151] [340/458] learning_rate: 0.157624 loss_vfl: 1.056028 loss_bbox: 0.478340 loss_dfl: 0.430313 loss: 1.959038 eta: 16:00:36 batch_cost: 0.6461 data_cost: 0.0363 ips: 99.0554 images/s
[03/19 05:20:24] ppdet.engine INFO: Epoch: [151] [360/458] learning_rate: 0.157551 loss_vfl: 1.026874 loss_bbox: 0.463614 loss_dfl: 0.421147 loss: 1.899992 eta: 16:00:20 batch_cost: 0.8827 data_cost: 0.0015 ips: 72.5009 images/s
[03/19 05:20:44] ppdet.engine INFO: Epoch: [151] [380/458] learning_rate: 0.157478 loss_vfl: 1.063476 loss_bbox: 0.475938 loss_dfl: 0.433827 loss: 1.953598 eta: 16:00:04 batch_cost: 0.8925 data_cost: 0.0067 ips: 71.7084 images/s
[03/19 05:21:03] ppdet.engine INFO: Epoch: [151] [400/458] learning_rate: 0.157404 loss_vfl: 1.053132 loss_bbox: 0.491116 loss_dfl: 0.437774 loss: 1.985425 eta: 15:59:47 batch_cost: 0.8336 data_cost: 0.0014 ips: 76.7790 images/s
[03/19 05:21:22] ppdet.engine INFO: Epoch: [151] [420/458] learning_rate: 0.157331 loss_vfl: 1.050650 loss_bbox: 0.464239 loss_dfl: 0.430808 loss: 1.955868 eta: 15:59:30 batch_cost: 0.8525 data_cost: 0.0010 ips: 75.0764 images/s
[03/19 05:21:40] ppdet.engine INFO: Epoch: [151] [440/458] learning_rate: 0.157258 loss_vfl: 1.067134 loss_bbox: 0.480881 loss_dfl: 0.442528 loss: 1.971163 eta: 15:59:13 batch_cost: 0.8505 data_cost: 0.0042 ips: 75.2504 images/s
[03/19 05:22:01] ppdet.engine INFO: Epoch: [152] [  0/458] learning_rate: 0.157192 loss_vfl: 1.061757 loss_bbox: 0.484651 loss_dfl: 0.445667 loss: 2.005106 eta: 15:59:01 batch_cost: 0.9706 data_cost: 0.3544 ips: 65.9409 images/s
[03/19 05:22:23] ppdet.engine INFO: Epoch: [152] [ 20/458] learning_rate: 0.157118 loss_vfl: 1.052689 loss_bbox: 0.474023 loss_dfl: 0.440684 loss: 1.939178 eta: 15:58:46 batch_cost: 0.9637 data_cost: 0.0042 ips: 66.4115 images/s
[03/19 05:22:41] ppdet.engine INFO: Epoch: [152] [ 40/458] learning_rate: 0.157045 loss_vfl: 1.061833 loss_bbox: 0.455591 loss_dfl: 0.439925 loss: 1.968089 eta: 15:58:28 batch_cost: 0.8272 data_cost: 0.0039 ips: 77.3682 images/s
[03/19 05:23:02] ppdet.engine INFO: Epoch: [152] [ 60/458] learning_rate: 0.156972 loss_vfl: 1.088840 loss_bbox: 0.476218 loss_dfl: 0.444414 loss: 1.988163 eta: 15:58:13 batch_cost: 0.9194 data_cost: 0.0032 ips: 69.6092 images/s
[03/19 05:23:23] ppdet.engine INFO: Epoch: [152] [ 80/458] learning_rate: 0.156898 loss_vfl: 1.093421 loss_bbox: 0.458246 loss_dfl: 0.437631 loss: 1.967444 eta: 15:57:59 batch_cost: 0.9923 data_cost: 0.0017 ips: 64.4956 images/s
[03/19 05:23:43] ppdet.engine INFO: Epoch: [152] [100/458] learning_rate: 0.156825 loss_vfl: 1.074180 loss_bbox: 0.495689 loss_dfl: 0.446387 loss: 2.011010 eta: 15:57:43 batch_cost: 0.9135 data_cost: 0.0066 ips: 70.0635 images/s
[03/19 05:24:01] ppdet.engine INFO: Epoch: [152] [120/458] learning_rate: 0.156752 loss_vfl: 1.026209 loss_bbox: 0.468952 loss_dfl: 0.432140 loss: 1.917393 eta: 15:57:25 batch_cost: 0.8125 data_cost: 0.0026 ips: 78.7703 images/s
[03/19 05:24:21] ppdet.engine INFO: Epoch: [152] [140/458] learning_rate: 0.156679 loss_vfl: 1.060673 loss_bbox: 0.500393 loss_dfl: 0.449743 loss: 2.020422 eta: 15:57:09 batch_cost: 0.9008 data_cost: 0.0487 ips: 71.0470 images/s
[03/19 05:24:40] ppdet.engine INFO: Epoch: [152] [160/458] learning_rate: 0.156605 loss_vfl: 1.005423 loss_bbox: 0.459471 loss_dfl: 0.423163 loss: 1.926039 eta: 15:56:52 batch_cost: 0.8502 data_cost: 0.0069 ips: 75.2773 images/s
[03/19 05:25:02] ppdet.engine INFO: Epoch: [152] [180/458] learning_rate: 0.156532 loss_vfl: 1.096329 loss_bbox: 0.473334 loss_dfl: 0.442810 loss: 2.029255 eta: 15:56:38 batch_cost: 1.0056 data_cost: 0.0194 ips: 63.6418 images/s
[03/19 05:25:23] ppdet.engine INFO: Epoch: [152] [200/458] learning_rate: 0.156459 loss_vfl: 1.079275 loss_bbox: 0.464427 loss_dfl: 0.443859 loss: 1.974001 eta: 15:56:23 batch_cost: 0.9499 data_cost: 0.0059 ips: 67.3754 images/s
[03/19 05:25:43] ppdet.engine INFO: Epoch: [152] [220/458] learning_rate: 0.156385 loss_vfl: 1.073722 loss_bbox: 0.484123 loss_dfl: 0.441804 loss: 1.992254 eta: 15:56:08 batch_cost: 0.9268 data_cost: 0.0023 ips: 69.0524 images/s
[03/19 05:26:03] ppdet.engine INFO: Epoch: [152] [240/458] learning_rate: 0.156312 loss_vfl: 0.998751 loss_bbox: 0.441169 loss_dfl: 0.401244 loss: 1.827818 eta: 15:55:53 batch_cost: 0.9532 data_cost: 0.0353 ips: 67.1431 images/s
[03/19 05:26:19] ppdet.engine INFO: Epoch: [152] [260/458] learning_rate: 0.156239 loss_vfl: 1.052365 loss_bbox: 0.492218 loss_dfl: 0.441184 loss: 1.974722 eta: 15:55:33 batch_cost: 0.7199 data_cost: 0.0552 ips: 88.9040 images/s
[03/19 05:26:38] ppdet.engine INFO: Epoch: [152] [280/458] learning_rate: 0.156165 loss_vfl: 1.107676 loss_bbox: 0.486806 loss_dfl: 0.449465 loss: 2.057139 eta: 15:55:16 batch_cost: 0.8476 data_cost: 0.2155 ips: 75.5044 images/s
[03/19 05:26:54] ppdet.engine INFO: Epoch: [152] [300/458] learning_rate: 0.156092 loss_vfl: 1.094272 loss_bbox: 0.494013 loss_dfl: 0.444626 loss: 2.012829 eta: 15:54:57 batch_cost: 0.7243 data_cost: 0.0052 ips: 88.3642 images/s
[03/19 05:27:11] ppdet.engine INFO: Epoch: [152] [320/458] learning_rate: 0.156019 loss_vfl: 1.039330 loss_bbox: 0.482551 loss_dfl: 0.441242 loss: 1.947864 eta: 15:54:37 batch_cost: 0.7155 data_cost: 0.0055 ips: 89.4441 images/s
[03/19 05:27:25] ppdet.engine INFO: Epoch: [152] [340/458] learning_rate: 0.155945 loss_vfl: 1.033324 loss_bbox: 0.463064 loss_dfl: 0.434112 loss: 1.935696 eta: 15:54:16 batch_cost: 0.6419 data_cost: 0.1465 ips: 99.6997 images/s
[03/19 05:27:42] ppdet.engine INFO: Epoch: [152] [360/458] learning_rate: 0.155872 loss_vfl: 1.100794 loss_bbox: 0.500911 loss_dfl: 0.447858 loss: 2.050144 eta: 15:53:58 batch_cost: 0.7723 data_cost: 0.1339 ips: 82.8652 images/s
[03/19 05:28:06] ppdet.engine INFO: Epoch: [152] [380/458] learning_rate: 0.155799 loss_vfl: 1.019364 loss_bbox: 0.438190 loss_dfl: 0.418461 loss: 1.902562 eta: 15:53:46 batch_cost: 1.0816 data_cost: 0.0037 ips: 59.1731 images/s
[03/19 05:28:26] ppdet.engine INFO: Epoch: [152] [400/458] learning_rate: 0.155726 loss_vfl: 1.125795 loss_bbox: 0.507656 loss_dfl: 0.456521 loss: 2.065423 eta: 15:53:29 batch_cost: 0.8850 data_cost: 0.0022 ips: 72.3187 images/s
[03/19 05:28:41] ppdet.engine INFO: Epoch: [152] [420/458] learning_rate: 0.155652 loss_vfl: 1.108359 loss_bbox: 0.500286 loss_dfl: 0.457866 loss: 2.085809 eta: 15:53:08 batch_cost: 0.6495 data_cost: 0.0039 ips: 98.5333 images/s
[03/19 05:29:04] ppdet.engine INFO: Epoch: [152] [440/458] learning_rate: 0.155579 loss_vfl: 1.057187 loss_bbox: 0.474531 loss_dfl: 0.439125 loss: 1.982411 eta: 15:52:54 batch_cost: 1.0049 data_cost: 0.0040 ips: 63.6858 images/s
[03/19 05:29:24] ppdet.engine INFO: Epoch: [153] [  0/458] learning_rate: 0.155513 loss_vfl: 1.071083 loss_bbox: 0.464143 loss_dfl: 0.431782 loss: 1.955897 eta: 15:52:42 batch_cost: 1.1098 data_cost: 0.4695 ips: 57.6672 images/s
[03/19 05:29:44] ppdet.engine INFO: Epoch: [153] [ 20/458] learning_rate: 0.155440 loss_vfl: 1.032838 loss_bbox: 0.458882 loss_dfl: 0.427183 loss: 1.911632 eta: 15:52:24 batch_cost: 0.8136 data_cost: 0.0521 ips: 78.6639 images/s
[03/19 05:30:03] ppdet.engine INFO: Epoch: [153] [ 40/458] learning_rate: 0.155366 loss_vfl: 1.023027 loss_bbox: 0.472646 loss_dfl: 0.425020 loss: 1.924966 eta: 15:52:07 batch_cost: 0.8331 data_cost: 0.0037 ips: 76.8205 images/s
[03/19 05:30:22] ppdet.engine INFO: Epoch: [153] [ 60/458] learning_rate: 0.155293 loss_vfl: 1.045082 loss_bbox: 0.479566 loss_dfl: 0.434894 loss: 1.982901 eta: 15:51:51 batch_cost: 0.8970 data_cost: 0.0094 ips: 71.3473 images/s
[03/19 05:30:44] ppdet.engine INFO: Epoch: [153] [ 80/458] learning_rate: 0.155220 loss_vfl: 1.055820 loss_bbox: 0.478032 loss_dfl: 0.446670 loss: 1.981941 eta: 15:51:36 batch_cost: 0.9733 data_cost: 0.0032 ips: 65.7529 images/s
[03/19 05:31:02] ppdet.engine INFO: Epoch: [153] [100/458] learning_rate: 0.155147 loss_vfl: 1.057177 loss_bbox: 0.472916 loss_dfl: 0.445060 loss: 1.994102 eta: 15:51:18 batch_cost: 0.7754 data_cost: 0.0036 ips: 82.5424 images/s
[03/19 05:31:21] ppdet.engine INFO: Epoch: [153] [120/458] learning_rate: 0.155073 loss_vfl: 1.052309 loss_bbox: 0.466210 loss_dfl: 0.424301 loss: 1.929479 eta: 15:51:01 batch_cost: 0.8717 data_cost: 0.0044 ips: 73.4231 images/s
[03/19 05:31:39] ppdet.engine INFO: Epoch: [153] [140/458] learning_rate: 0.155000 loss_vfl: 1.051220 loss_bbox: 0.490065 loss_dfl: 0.435679 loss: 1.976725 eta: 15:50:43 batch_cost: 0.7647 data_cost: 0.0031 ips: 83.6950 images/s
[03/19 05:31:58] ppdet.engine INFO: Epoch: [153] [160/458] learning_rate: 0.154927 loss_vfl: 1.080630 loss_bbox: 0.490493 loss_dfl: 0.456750 loss: 2.048699 eta: 15:50:26 batch_cost: 0.8402 data_cost: 0.0025 ips: 76.1751 images/s
[03/19 05:32:17] ppdet.engine INFO: Epoch: [153] [180/458] learning_rate: 0.154853 loss_vfl: 1.055439 loss_bbox: 0.469275 loss_dfl: 0.428299 loss: 1.951695 eta: 15:50:08 batch_cost: 0.8157 data_cost: 0.0055 ips: 78.4640 images/s
[03/19 05:32:35] ppdet.engine INFO: Epoch: [153] [200/458] learning_rate: 0.154780 loss_vfl: 0.980203 loss_bbox: 0.430226 loss_dfl: 0.397555 loss: 1.775276 eta: 15:49:51 batch_cost: 0.8448 data_cost: 0.0260 ips: 75.7559 images/s
[03/19 05:32:56] ppdet.engine INFO: Epoch: [153] [220/458] learning_rate: 0.154707 loss_vfl: 1.076599 loss_bbox: 0.457354 loss_dfl: 0.445177 loss: 1.992450 eta: 15:49:36 batch_cost: 0.9327 data_cost: 0.0220 ips: 68.6160 images/s
[03/19 05:33:15] ppdet.engine INFO: Epoch: [153] [240/458] learning_rate: 0.154633 loss_vfl: 1.018228 loss_bbox: 0.469074 loss_dfl: 0.418720 loss: 1.894140 eta: 15:49:18 batch_cost: 0.8124 data_cost: 0.0050 ips: 78.7765 images/s
[03/19 05:33:34] ppdet.engine INFO: Epoch: [153] [260/458] learning_rate: 0.154560 loss_vfl: 1.056375 loss_bbox: 0.458018 loss_dfl: 0.426496 loss: 1.939821 eta: 15:49:01 batch_cost: 0.8445 data_cost: 0.0032 ips: 75.7882 images/s
[03/19 05:33:54] ppdet.engine INFO: Epoch: [153] [280/458] learning_rate: 0.154487 loss_vfl: 1.047788 loss_bbox: 0.468468 loss_dfl: 0.432376 loss: 1.959262 eta: 15:48:45 batch_cost: 0.8966 data_cost: 0.0071 ips: 71.3809 images/s
[03/19 05:34:12] ppdet.engine INFO: Epoch: [153] [300/458] learning_rate: 0.154414 loss_vfl: 1.039258 loss_bbox: 0.464613 loss_dfl: 0.432505 loss: 1.936902 eta: 15:48:28 batch_cost: 0.8619 data_cost: 0.0037 ips: 74.2564 images/s
[03/19 05:34:25] ppdet.engine INFO: Epoch: [153] [320/458] learning_rate: 0.154340 loss_vfl: 1.083598 loss_bbox: 0.495321 loss_dfl: 0.450989 loss: 2.002286 eta: 15:48:06 batch_cost: 0.5581 data_cost: 0.0020 ips: 114.6705 images/s
[03/19 05:34:42] ppdet.engine INFO: Epoch: [153] [340/458] learning_rate: 0.154267 loss_vfl: 1.026168 loss_bbox: 0.441615 loss_dfl: 0.417680 loss: 1.877632 eta: 15:47:46 batch_cost: 0.7303 data_cost: 0.0020 ips: 87.6379 images/s
[03/19 05:35:02] ppdet.engine INFO: Epoch: [153] [360/458] learning_rate: 0.154194 loss_vfl: 1.059878 loss_bbox: 0.484779 loss_dfl: 0.440948 loss: 1.983327 eta: 15:47:30 batch_cost: 0.8797 data_cost: 0.0036 ips: 72.7530 images/s
[03/19 05:35:22] ppdet.engine INFO: Epoch: [153] [380/458] learning_rate: 0.154121 loss_vfl: 1.063249 loss_bbox: 0.467231 loss_dfl: 0.444392 loss: 1.986911 eta: 15:47:14 batch_cost: 0.8992 data_cost: 0.0010 ips: 71.1743 images/s
[03/19 05:35:42] ppdet.engine INFO: Epoch: [153] [400/458] learning_rate: 0.154047 loss_vfl: 1.074579 loss_bbox: 0.472823 loss_dfl: 0.439027 loss: 1.979107 eta: 15:46:59 batch_cost: 0.9474 data_cost: 0.0051 ips: 67.5514 images/s
[03/19 05:36:03] ppdet.engine INFO: Epoch: [153] [420/458] learning_rate: 0.153974 loss_vfl: 1.080221 loss_bbox: 0.489953 loss_dfl: 0.445673 loss: 1.998871 eta: 15:46:44 batch_cost: 0.9611 data_cost: 0.0050 ips: 66.5897 images/s
[03/19 05:36:20] ppdet.engine INFO: Epoch: [153] [440/458] learning_rate: 0.153901 loss_vfl: 1.086895 loss_bbox: 0.497843 loss_dfl: 0.459107 loss: 2.068892 eta: 15:46:24 batch_cost: 0.7008 data_cost: 0.0065 ips: 91.3184 images/s
[03/19 05:36:41] ppdet.engine INFO: Epoch: [154] [  0/458] learning_rate: 0.153835 loss_vfl: 1.047621 loss_bbox: 0.459820 loss_dfl: 0.432348 loss: 1.957604 eta: 15:46:13 batch_cost: 1.0067 data_cost: 0.2515 ips: 63.5772 images/s
[03/19 05:37:04] ppdet.engine INFO: Epoch: [154] [ 20/458] learning_rate: 0.153761 loss_vfl: 1.072457 loss_bbox: 0.474467 loss_dfl: 0.444251 loss: 1.991128 eta: 15:45:57 batch_cost: 0.9448 data_cost: 0.0030 ips: 67.7375 images/s
[03/19 05:37:24] ppdet.engine INFO: Epoch: [154] [ 40/458] learning_rate: 0.153688 loss_vfl: 1.039828 loss_bbox: 0.462185 loss_dfl: 0.441126 loss: 1.944719 eta: 15:45:40 batch_cost: 0.8443 data_cost: 0.0045 ips: 75.7994 images/s
[03/19 05:37:44] ppdet.engine INFO: Epoch: [154] [ 60/458] learning_rate: 0.153615 loss_vfl: 1.004111 loss_bbox: 0.443601 loss_dfl: 0.421773 loss: 1.880797 eta: 15:45:24 batch_cost: 0.8639 data_cost: 0.0043 ips: 74.0795 images/s
[03/19 05:38:07] ppdet.engine INFO: Epoch: [154] [ 80/458] learning_rate: 0.153542 loss_vfl: 1.042488 loss_bbox: 0.476811 loss_dfl: 0.428369 loss: 1.930873 eta: 15:45:11 batch_cost: 1.0573 data_cost: 0.2092 ips: 60.5307 images/s
[03/19 05:38:28] ppdet.engine INFO: Epoch: [154] [100/458] learning_rate: 0.153468 loss_vfl: 1.009776 loss_bbox: 0.458920 loss_dfl: 0.420124 loss: 1.911502 eta: 15:44:55 batch_cost: 0.9005 data_cost: 0.3436 ips: 71.0701 images/s
[03/19 05:38:46] ppdet.engine INFO: Epoch: [154] [120/458] learning_rate: 0.153395 loss_vfl: 1.061758 loss_bbox: 0.481928 loss_dfl: 0.438219 loss: 1.977266 eta: 15:44:37 batch_cost: 0.8376 data_cost: 0.2777 ips: 76.4053 images/s
[03/19 05:39:08] ppdet.engine INFO: Epoch: [154] [140/458] learning_rate: 0.153322 loss_vfl: 1.058779 loss_bbox: 0.466220 loss_dfl: 0.432298 loss: 1.937304 eta: 15:44:24 batch_cost: 1.0382 data_cost: 0.2867 ips: 61.6430 images/s
[03/19 05:39:28] ppdet.engine INFO: Epoch: [154] [160/458] learning_rate: 0.153249 loss_vfl: 1.039495 loss_bbox: 0.463378 loss_dfl: 0.425058 loss: 1.939144 eta: 15:44:08 batch_cost: 0.9104 data_cost: 0.1882 ips: 70.3008 images/s
[03/19 05:39:48] ppdet.engine INFO: Epoch: [154] [180/458] learning_rate: 0.153175 loss_vfl: 1.073152 loss_bbox: 0.483515 loss_dfl: 0.442805 loss: 1.980131 eta: 15:43:53 batch_cost: 0.9468 data_cost: 0.0626 ips: 67.5926 images/s
[03/19 05:40:10] ppdet.engine INFO: Epoch: [154] [200/458] learning_rate: 0.153102 loss_vfl: 1.062474 loss_bbox: 0.482888 loss_dfl: 0.445938 loss: 1.988521 eta: 15:43:39 batch_cost: 0.9999 data_cost: 0.2103 ips: 64.0038 images/s
[03/19 05:40:29] ppdet.engine INFO: Epoch: [154] [220/458] learning_rate: 0.153029 loss_vfl: 1.049532 loss_bbox: 0.480996 loss_dfl: 0.442245 loss: 1.969981 eta: 15:43:22 batch_cost: 0.8362 data_cost: 0.0345 ips: 76.5323 images/s
[03/19 05:40:51] ppdet.engine INFO: Epoch: [154] [240/458] learning_rate: 0.152956 loss_vfl: 1.071463 loss_bbox: 0.479212 loss_dfl: 0.448285 loss: 2.017272 eta: 15:43:07 batch_cost: 0.9748 data_cost: 0.0003 ips: 65.6524 images/s
[03/19 05:41:09] ppdet.engine INFO: Epoch: [154] [260/458] learning_rate: 0.152882 loss_vfl: 1.082015 loss_bbox: 0.492625 loss_dfl: 0.447640 loss: 1.998096 eta: 15:42:49 batch_cost: 0.8048 data_cost: 0.0234 ips: 79.5239 images/s
[03/19 05:41:22] ppdet.engine INFO: Epoch: [154] [280/458] learning_rate: 0.152809 loss_vfl: 1.049411 loss_bbox: 0.454106 loss_dfl: 0.430488 loss: 1.946648 eta: 15:42:27 batch_cost: 0.5750 data_cost: 0.0285 ips: 111.3121 images/s
[03/19 05:41:38] ppdet.engine INFO: Epoch: [154] [300/458] learning_rate: 0.152736 loss_vfl: 1.052301 loss_bbox: 0.472451 loss_dfl: 0.429697 loss: 1.966048 eta: 15:42:07 batch_cost: 0.6934 data_cost: 0.0387 ips: 92.3008 images/s
[03/19 05:41:58] ppdet.engine INFO: Epoch: [154] [320/458] learning_rate: 0.152663 loss_vfl: 1.040545 loss_bbox: 0.465396 loss_dfl: 0.428280 loss: 1.918932 eta: 15:41:51 batch_cost: 0.9166 data_cost: 0.1907 ips: 69.8224 images/s
[03/19 05:42:18] ppdet.engine INFO: Epoch: [154] [340/458] learning_rate: 0.152589 loss_vfl: 1.096367 loss_bbox: 0.489811 loss_dfl: 0.451771 loss: 2.039962 eta: 15:41:36 batch_cost: 0.9181 data_cost: 0.3066 ips: 69.7103 images/s
[03/19 05:42:39] ppdet.engine INFO: Epoch: [154] [360/458] learning_rate: 0.152516 loss_vfl: 1.051020 loss_bbox: 0.442403 loss_dfl: 0.424733 loss: 1.897724 eta: 15:41:20 batch_cost: 0.9110 data_cost: 0.3680 ips: 70.2552 images/s
[03/19 05:43:00] ppdet.engine INFO: Epoch: [154] [380/458] learning_rate: 0.152443 loss_vfl: 1.040747 loss_bbox: 0.465005 loss_dfl: 0.428192 loss: 1.910760 eta: 15:41:05 batch_cost: 0.9473 data_cost: 0.3987 ips: 67.5585 images/s
[03/19 05:43:21] ppdet.engine INFO: Epoch: [154] [400/458] learning_rate: 0.152370 loss_vfl: 1.036011 loss_bbox: 0.457154 loss_dfl: 0.422898 loss: 1.902228 eta: 15:40:49 batch_cost: 0.9051 data_cost: 0.4189 ips: 70.7075 images/s
[03/19 05:43:38] ppdet.engine INFO: Epoch: [154] [420/458] learning_rate: 0.152296 loss_vfl: 1.045070 loss_bbox: 0.462994 loss_dfl: 0.432643 loss: 1.940618 eta: 15:40:30 batch_cost: 0.7439 data_cost: 0.2786 ips: 86.0298 images/s
[03/19 05:44:00] ppdet.engine INFO: Epoch: [154] [440/458] learning_rate: 0.152223 loss_vfl: 1.104865 loss_bbox: 0.500662 loss_dfl: 0.469023 loss: 2.091009 eta: 15:40:15 batch_cost: 0.9731 data_cost: 0.4525 ips: 65.7687 images/s
[03/19 05:44:23] ppdet.engine INFO: Epoch: [155] [  0/458] learning_rate: 0.152157 loss_vfl: 1.031342 loss_bbox: 0.454628 loss_dfl: 0.422147 loss: 1.893598 eta: 15:40:05 batch_cost: 1.1595 data_cost: 0.6106 ips: 55.1960 images/s
[03/19 05:44:40] ppdet.engine INFO: Epoch: [155] [ 20/458] learning_rate: 0.152084 loss_vfl: 1.063821 loss_bbox: 0.485509 loss_dfl: 0.444166 loss: 1.982215 eta: 15:39:46 batch_cost: 0.7146 data_cost: 0.0014 ips: 89.5621 images/s
[03/19 05:45:01] ppdet.engine INFO: Epoch: [155] [ 40/458] learning_rate: 0.152011 loss_vfl: 1.088954 loss_bbox: 0.472821 loss_dfl: 0.447146 loss: 2.013838 eta: 15:39:31 batch_cost: 0.9543 data_cost: 0.2618 ips: 67.0672 images/s
[03/19 05:45:21] ppdet.engine INFO: Epoch: [155] [ 60/458] learning_rate: 0.151937 loss_vfl: 1.061049 loss_bbox: 0.471672 loss_dfl: 0.441582 loss: 1.965353 eta: 15:39:13 batch_cost: 0.8086 data_cost: 0.0686 ips: 79.1537 images/s
[03/19 05:45:39] ppdet.engine INFO: Epoch: [155] [ 80/458] learning_rate: 0.151864 loss_vfl: 1.046173 loss_bbox: 0.467681 loss_dfl: 0.440071 loss: 1.965062 eta: 15:38:55 batch_cost: 0.7972 data_cost: 0.2200 ips: 80.2838 images/s
[03/19 05:45:59] ppdet.engine INFO: Epoch: [155] [100/458] learning_rate: 0.151791 loss_vfl: 1.059864 loss_bbox: 0.464638 loss_dfl: 0.431727 loss: 1.956508 eta: 15:38:38 batch_cost: 0.8801 data_cost: 0.3540 ips: 72.7181 images/s
[03/19 05:46:20] ppdet.engine INFO: Epoch: [155] [120/458] learning_rate: 0.151718 loss_vfl: 1.034828 loss_bbox: 0.469491 loss_dfl: 0.441116 loss: 1.941036 eta: 15:38:23 batch_cost: 0.9097 data_cost: 0.3364 ips: 70.3523 images/s
[03/19 05:46:39] ppdet.engine INFO: Epoch: [155] [140/458] learning_rate: 0.151645 loss_vfl: 1.019485 loss_bbox: 0.444806 loss_dfl: 0.420553 loss: 1.884697 eta: 15:38:05 batch_cost: 0.8446 data_cost: 0.3018 ips: 75.7748 images/s
[03/19 05:46:58] ppdet.engine INFO: Epoch: [155] [160/458] learning_rate: 0.151571 loss_vfl: 1.079186 loss_bbox: 0.479279 loss_dfl: 0.441907 loss: 1.983259 eta: 15:37:49 batch_cost: 0.8662 data_cost: 0.2512 ips: 73.8834 images/s
[03/19 05:47:21] ppdet.engine INFO: Epoch: [155] [180/458] learning_rate: 0.151498 loss_vfl: 1.070696 loss_bbox: 0.495177 loss_dfl: 0.442353 loss: 2.002569 eta: 15:37:35 batch_cost: 1.0387 data_cost: 0.4478 ips: 61.6161 images/s
[03/19 05:47:40] ppdet.engine INFO: Epoch: [155] [200/458] learning_rate: 0.151425 loss_vfl: 1.015913 loss_bbox: 0.454753 loss_dfl: 0.428219 loss: 1.919433 eta: 15:37:17 batch_cost: 0.8023 data_cost: 0.2669 ips: 79.7677 images/s
[03/19 05:47:57] ppdet.engine INFO: Epoch: [155] [220/458] learning_rate: 0.151352 loss_vfl: 1.098701 loss_bbox: 0.500343 loss_dfl: 0.454477 loss: 2.039317 eta: 15:36:58 batch_cost: 0.7281 data_cost: 0.1936 ips: 87.9007 images/s
[03/19 05:48:14] ppdet.engine INFO: Epoch: [155] [240/458] learning_rate: 0.151278 loss_vfl: 1.042866 loss_bbox: 0.454476 loss_dfl: 0.429576 loss: 1.935120 eta: 15:36:40 batch_cost: 0.8025 data_cost: 0.3830 ips: 79.7516 images/s
[03/19 05:48:29] ppdet.engine INFO: Epoch: [155] [260/458] learning_rate: 0.151205 loss_vfl: 1.057236 loss_bbox: 0.467007 loss_dfl: 0.443874 loss: 1.979276 eta: 15:36:20 batch_cost: 0.6538 data_cost: 0.2258 ips: 97.8870 images/s
[03/19 05:48:46] ppdet.engine INFO: Epoch: [155] [280/458] learning_rate: 0.151132 loss_vfl: 1.105649 loss_bbox: 0.496242 loss_dfl: 0.454069 loss: 2.065870 eta: 15:36:01 batch_cost: 0.7590 data_cost: 0.2160 ips: 84.3194 images/s
[03/19 05:49:07] ppdet.engine INFO: Epoch: [155] [300/458] learning_rate: 0.151059 loss_vfl: 1.044517 loss_bbox: 0.475087 loss_dfl: 0.435752 loss: 1.973606 eta: 15:35:46 batch_cost: 0.9758 data_cost: 0.3558 ips: 65.5888 images/s
[03/19 05:49:26] ppdet.engine INFO: Epoch: [155] [320/458] learning_rate: 0.150986 loss_vfl: 1.041313 loss_bbox: 0.465326 loss_dfl: 0.428082 loss: 1.941379 eta: 15:35:28 batch_cost: 0.7718 data_cost: 0.1232 ips: 82.9257 images/s
[03/19 05:49:46] ppdet.engine INFO: Epoch: [155] [340/458] learning_rate: 0.150912 loss_vfl: 1.075379 loss_bbox: 0.483833 loss_dfl: 0.448267 loss: 2.021535 eta: 15:35:11 batch_cost: 0.8271 data_cost: 0.2837 ips: 77.3806 images/s
[03/19 05:50:04] ppdet.engine INFO: Epoch: [155] [360/458] learning_rate: 0.150839 loss_vfl: 1.070664 loss_bbox: 0.481805 loss_dfl: 0.454559 loss: 2.005443 eta: 15:34:53 batch_cost: 0.8182 data_cost: 0.2380 ips: 78.2205 images/s
[03/19 05:50:25] ppdet.engine INFO: Epoch: [155] [380/458] learning_rate: 0.150766 loss_vfl: 1.094379 loss_bbox: 0.497415 loss_dfl: 0.455052 loss: 2.035086 eta: 15:34:37 batch_cost: 0.9003 data_cost: 0.1785 ips: 71.0873 images/s
[03/19 05:50:44] ppdet.engine INFO: Epoch: [155] [400/458] learning_rate: 0.150693 loss_vfl: 1.077703 loss_bbox: 0.489202 loss_dfl: 0.456699 loss: 2.041186 eta: 15:34:19 batch_cost: 0.7849 data_cost: 0.0841 ips: 81.5378 images/s
[03/19 05:51:03] ppdet.engine INFO: Epoch: [155] [420/458] learning_rate: 0.150620 loss_vfl: 1.053606 loss_bbox: 0.456084 loss_dfl: 0.423953 loss: 1.922495 eta: 15:34:01 batch_cost: 0.7920 data_cost: 0.1999 ips: 80.8048 images/s
[03/19 05:51:23] ppdet.engine INFO: Epoch: [155] [440/458] learning_rate: 0.150546 loss_vfl: 1.048535 loss_bbox: 0.468778 loss_dfl: 0.427200 loss: 1.929895 eta: 15:33:44 batch_cost: 0.8527 data_cost: 0.2379 ips: 75.0554 images/s
[03/19 05:51:43] ppdet.engine INFO: Epoch: [156] [  0/458] learning_rate: 0.150480 loss_vfl: 1.108383 loss_bbox: 0.495463 loss_dfl: 0.471364 loss: 2.084589 eta: 15:33:31 batch_cost: 0.9815 data_cost: 0.4545 ips: 65.2082 images/s
[03/19 05:52:04] ppdet.engine INFO: Epoch: [156] [ 20/458] learning_rate: 0.150407 loss_vfl: 1.075529 loss_bbox: 0.492373 loss_dfl: 0.449137 loss: 2.017532 eta: 15:33:15 batch_cost: 0.8911 data_cost: 0.0015 ips: 71.8186 images/s
[03/19 05:52:22] ppdet.engine INFO: Epoch: [156] [ 40/458] learning_rate: 0.150334 loss_vfl: 1.036009 loss_bbox: 0.464124 loss_dfl: 0.435937 loss: 1.941556 eta: 15:32:57 batch_cost: 0.8142 data_cost: 0.0020 ips: 78.6041 images/s
[03/19 05:52:42] ppdet.engine INFO: Epoch: [156] [ 60/458] learning_rate: 0.150261 loss_vfl: 1.104163 loss_bbox: 0.479467 loss_dfl: 0.452012 loss: 2.080223 eta: 15:32:41 batch_cost: 0.8756 data_cost: 0.0050 ips: 73.0887 images/s
[03/19 05:53:03] ppdet.engine INFO: Epoch: [156] [ 80/458] learning_rate: 0.150188 loss_vfl: 1.041085 loss_bbox: 0.468833 loss_dfl: 0.440337 loss: 1.968401 eta: 15:32:26 batch_cost: 0.9623 data_cost: 0.0023 ips: 66.5084 images/s
[03/19 05:53:22] ppdet.engine INFO: Epoch: [156] [100/458] learning_rate: 0.150115 loss_vfl: 1.050915 loss_bbox: 0.450482 loss_dfl: 0.427868 loss: 1.908103 eta: 15:32:08 batch_cost: 0.8206 data_cost: 0.0199 ips: 77.9932 images/s
[03/19 05:53:41] ppdet.engine INFO: Epoch: [156] [120/458] learning_rate: 0.150041 loss_vfl: 1.084221 loss_bbox: 0.500540 loss_dfl: 0.455051 loss: 2.033007 eta: 15:31:52 batch_cost: 0.9015 data_cost: 0.0044 ips: 70.9918 images/s
[03/19 05:54:02] ppdet.engine INFO: Epoch: [156] [140/458] learning_rate: 0.149968 loss_vfl: 1.073951 loss_bbox: 0.488329 loss_dfl: 0.439606 loss: 1.999561 eta: 15:31:38 batch_cost: 0.9810 data_cost: 0.0146 ips: 65.2389 images/s
[03/19 05:54:21] ppdet.engine INFO: Epoch: [156] [160/458] learning_rate: 0.149895 loss_vfl: 1.014589 loss_bbox: 0.454829 loss_dfl: 0.417017 loss: 1.904711 eta: 15:31:19 batch_cost: 0.7728 data_cost: 0.0064 ips: 82.8178 images/s
[03/19 05:54:39] ppdet.engine INFO: Epoch: [156] [180/458] learning_rate: 0.149822 loss_vfl: 1.073646 loss_bbox: 0.477887 loss_dfl: 0.440498 loss: 1.990398 eta: 15:31:01 batch_cost: 0.8027 data_cost: 0.0070 ips: 79.7296 images/s
[03/19 05:55:02] ppdet.engine INFO: Epoch: [156] [200/458] learning_rate: 0.149749 loss_vfl: 1.020239 loss_bbox: 0.440424 loss_dfl: 0.422052 loss: 1.895411 eta: 15:30:47 batch_cost: 1.0057 data_cost: 0.0029 ips: 63.6364 images/s
[03/19 05:55:17] ppdet.engine INFO: Epoch: [156] [220/458] learning_rate: 0.149675 loss_vfl: 1.052559 loss_bbox: 0.469243 loss_dfl: 0.433278 loss: 1.976221 eta: 15:30:28 batch_cost: 0.7020 data_cost: 0.0017 ips: 91.1635 images/s
[03/19 05:55:33] ppdet.engine INFO: Epoch: [156] [240/458] learning_rate: 0.149602 loss_vfl: 1.064282 loss_bbox: 0.498143 loss_dfl: 0.446472 loss: 1.994076 eta: 15:30:08 batch_cost: 0.6845 data_cost: 0.0043 ips: 93.5048 images/s
[03/19 05:55:53] ppdet.engine INFO: Epoch: [156] [260/458] learning_rate: 0.149529 loss_vfl: 1.028940 loss_bbox: 0.472565 loss_dfl: 0.436520 loss: 1.941193 eta: 15:29:53 batch_cost: 0.9706 data_cost: 0.0061 ips: 65.9389 images/s
[03/19 05:56:11] ppdet.engine INFO: Epoch: [156] [280/458] learning_rate: 0.149456 loss_vfl: 1.089502 loss_bbox: 0.475288 loss_dfl: 0.443992 loss: 2.043019 eta: 15:29:34 batch_cost: 0.7384 data_cost: 0.0050 ips: 86.6770 images/s
[03/19 05:56:31] ppdet.engine INFO: Epoch: [156] [300/458] learning_rate: 0.149383 loss_vfl: 1.110743 loss_bbox: 0.501455 loss_dfl: 0.470568 loss: 2.069113 eta: 15:29:17 batch_cost: 0.8736 data_cost: 0.0057 ips: 73.2632 images/s
[03/19 05:56:52] ppdet.engine INFO: Epoch: [156] [320/458] learning_rate: 0.149310 loss_vfl: 1.127430 loss_bbox: 0.496693 loss_dfl: 0.465224 loss: 2.073462 eta: 15:29:01 batch_cost: 0.9123 data_cost: 0.0013 ips: 70.1531 images/s
[03/19 05:57:12] ppdet.engine INFO: Epoch: [156] [340/458] learning_rate: 0.149236 loss_vfl: 1.032806 loss_bbox: 0.480244 loss_dfl: 0.429487 loss: 1.943263 eta: 15:28:45 batch_cost: 0.8929 data_cost: 0.0031 ips: 71.6788 images/s
[03/19 05:57:31] ppdet.engine INFO: Epoch: [156] [360/458] learning_rate: 0.149163 loss_vfl: 1.039927 loss_bbox: 0.451981 loss_dfl: 0.435672 loss: 1.932369 eta: 15:28:29 batch_cost: 0.8652 data_cost: 0.0021 ips: 73.9685 images/s
[03/19 05:57:50] ppdet.engine INFO: Epoch: [156] [380/458] learning_rate: 0.149090 loss_vfl: 1.102494 loss_bbox: 0.489642 loss_dfl: 0.444432 loss: 2.031607 eta: 15:28:11 batch_cost: 0.8393 data_cost: 0.0018 ips: 76.2520 images/s
[03/19 05:58:13] ppdet.engine INFO: Epoch: [156] [400/458] learning_rate: 0.149017 loss_vfl: 1.096903 loss_bbox: 0.484430 loss_dfl: 0.447864 loss: 2.014727 eta: 15:27:57 batch_cost: 1.0058 data_cost: 0.0055 ips: 63.6287 images/s
[03/19 05:58:32] ppdet.engine INFO: Epoch: [156] [420/458] learning_rate: 0.148944 loss_vfl: 1.052514 loss_bbox: 0.456540 loss_dfl: 0.428086 loss: 1.925470 eta: 15:27:41 batch_cost: 0.8788 data_cost: 0.0093 ips: 72.8293 images/s
[03/19 05:58:50] ppdet.engine INFO: Epoch: [156] [440/458] learning_rate: 0.148871 loss_vfl: 1.029376 loss_bbox: 0.461119 loss_dfl: 0.427519 loss: 1.921875 eta: 15:27:22 batch_cost: 0.7524 data_cost: 0.0037 ips: 85.0599 images/s
[03/19 05:59:13] ppdet.engine INFO: Epoch: [157] [  0/458] learning_rate: 0.148805 loss_vfl: 1.059836 loss_bbox: 0.471499 loss_dfl: 0.444987 loss: 1.972522 eta: 15:27:11 batch_cost: 1.1026 data_cost: 0.3477 ips: 58.0444 images/s
[03/19 05:59:32] ppdet.engine INFO: Epoch: [157] [ 20/458] learning_rate: 0.148732 loss_vfl: 1.032154 loss_bbox: 0.464518 loss_dfl: 0.429498 loss: 1.930223 eta: 15:26:53 batch_cost: 0.7796 data_cost: 0.0032 ips: 82.0923 images/s
[03/19 05:59:53] ppdet.engine INFO: Epoch: [157] [ 40/458] learning_rate: 0.148659 loss_vfl: 1.046641 loss_bbox: 0.449767 loss_dfl: 0.427051 loss: 1.930440 eta: 15:26:36 batch_cost: 0.8868 data_cost: 0.0463 ips: 72.1672 images/s
[03/19 06:00:14] ppdet.engine INFO: Epoch: [157] [ 60/458] learning_rate: 0.148585 loss_vfl: 1.033207 loss_bbox: 0.471347 loss_dfl: 0.450966 loss: 1.983127 eta: 15:26:21 batch_cost: 0.9439 data_cost: 0.4381 ips: 67.8030 images/s
[03/19 06:00:32] ppdet.engine INFO: Epoch: [157] [ 80/458] learning_rate: 0.148512 loss_vfl: 1.052427 loss_bbox: 0.459364 loss_dfl: 0.435806 loss: 1.968662 eta: 15:26:04 batch_cost: 0.8243 data_cost: 0.1973 ips: 77.6398 images/s
[03/19 06:00:53] ppdet.engine INFO: Epoch: [157] [100/458] learning_rate: 0.148439 loss_vfl: 1.024953 loss_bbox: 0.469468 loss_dfl: 0.431750 loss: 1.939295 eta: 15:25:48 batch_cost: 0.9003 data_cost: 0.1364 ips: 71.0877 images/s
[03/19 06:01:13] ppdet.engine INFO: Epoch: [157] [120/458] learning_rate: 0.148366 loss_vfl: 1.048635 loss_bbox: 0.462877 loss_dfl: 0.436331 loss: 1.941281 eta: 15:25:31 batch_cost: 0.8810 data_cost: 0.3086 ips: 72.6465 images/s
[03/19 06:01:35] ppdet.engine INFO: Epoch: [157] [140/458] learning_rate: 0.148293 loss_vfl: 1.031560 loss_bbox: 0.441602 loss_dfl: 0.424822 loss: 1.911067 eta: 15:25:17 batch_cost: 1.0220 data_cost: 0.4447 ips: 62.6248 images/s
[03/19 06:01:54] ppdet.engine INFO: Epoch: [157] [160/458] learning_rate: 0.148220 loss_vfl: 1.073159 loss_bbox: 0.464185 loss_dfl: 0.442523 loss: 1.991729 eta: 15:25:00 batch_cost: 0.8418 data_cost: 0.3049 ips: 76.0274 images/s
[03/19 06:02:11] ppdet.engine INFO: Epoch: [157] [180/458] learning_rate: 0.148147 loss_vfl: 1.031388 loss_bbox: 0.458966 loss_dfl: 0.419422 loss: 1.870915 eta: 15:24:42 batch_cost: 0.7529 data_cost: 0.2806 ips: 84.9997 images/s
[03/19 06:02:26] ppdet.engine INFO: Epoch: [157] [200/458] learning_rate: 0.148073 loss_vfl: 1.052863 loss_bbox: 0.472608 loss_dfl: 0.434411 loss: 1.969531 eta: 15:24:22 batch_cost: 0.7172 data_cost: 0.2637 ips: 89.2341 images/s
[03/19 06:02:40] ppdet.engine INFO: Epoch: [157] [220/458] learning_rate: 0.148000 loss_vfl: 1.013824 loss_bbox: 0.485961 loss_dfl: 0.427840 loss: 1.904328 eta: 15:24:00 batch_cost: 0.5706 data_cost: 0.1053 ips: 112.1535 images/s
[03/19 06:03:01] ppdet.engine INFO: Epoch: [157] [240/458] learning_rate: 0.147927 loss_vfl: 1.061059 loss_bbox: 0.510242 loss_dfl: 0.451931 loss: 2.027188 eta: 15:23:46 batch_cost: 0.9970 data_cost: 0.2948 ips: 64.1914 images/s
[03/19 06:03:21] ppdet.engine INFO: Epoch: [157] [260/458] learning_rate: 0.147854 loss_vfl: 1.049069 loss_bbox: 0.463562 loss_dfl: 0.423339 loss: 1.910997 eta: 15:23:30 batch_cost: 0.8970 data_cost: 0.2909 ips: 71.3459 images/s
[03/19 06:03:42] ppdet.engine INFO: Epoch: [157] [280/458] learning_rate: 0.147781 loss_vfl: 1.043803 loss_bbox: 0.468993 loss_dfl: 0.425270 loss: 1.944679 eta: 15:23:14 batch_cost: 0.9374 data_cost: 0.2502 ips: 68.2717 images/s
[03/19 06:04:00] ppdet.engine INFO: Epoch: [157] [300/458] learning_rate: 0.147708 loss_vfl: 1.077796 loss_bbox: 0.468759 loss_dfl: 0.443653 loss: 1.975218 eta: 15:22:57 batch_cost: 0.8080 data_cost: 0.1454 ips: 79.2085 images/s
[03/19 06:04:18] ppdet.engine INFO: Epoch: [157] [320/458] learning_rate: 0.147635 loss_vfl: 1.058353 loss_bbox: 0.472075 loss_dfl: 0.427797 loss: 1.975269 eta: 15:22:39 batch_cost: 0.8005 data_cost: 0.2940 ips: 79.9534 images/s
[03/19 06:04:38] ppdet.engine INFO: Epoch: [157] [340/458] learning_rate: 0.147562 loss_vfl: 1.079323 loss_bbox: 0.491022 loss_dfl: 0.436626 loss: 1.977709 eta: 15:22:21 batch_cost: 0.8212 data_cost: 0.0592 ips: 77.9308 images/s
[03/19 06:05:00] ppdet.engine INFO: Epoch: [157] [360/458] learning_rate: 0.147489 loss_vfl: 1.085965 loss_bbox: 0.468245 loss_dfl: 0.436448 loss: 1.963400 eta: 15:22:07 batch_cost: 0.9828 data_cost: 0.3531 ips: 65.1184 images/s
[03/19 06:05:18] ppdet.engine INFO: Epoch: [157] [380/458] learning_rate: 0.147415 loss_vfl: 1.067028 loss_bbox: 0.488396 loss_dfl: 0.439918 loss: 1.980399 eta: 15:21:49 batch_cost: 0.7960 data_cost: 0.0349 ips: 80.4052 images/s
[03/19 06:05:39] ppdet.engine INFO: Epoch: [157] [400/458] learning_rate: 0.147342 loss_vfl: 1.090118 loss_bbox: 0.490273 loss_dfl: 0.448120 loss: 2.027181 eta: 15:21:32 batch_cost: 0.8925 data_cost: 0.0894 ips: 71.7098 images/s
[03/19 06:05:59] ppdet.engine INFO: Epoch: [157] [420/458] learning_rate: 0.147269 loss_vfl: 1.026582 loss_bbox: 0.475928 loss_dfl: 0.423379 loss: 1.925515 eta: 15:21:17 batch_cost: 0.9290 data_cost: 0.2002 ips: 68.8899 images/s
[03/19 06:06:19] ppdet.engine INFO: Epoch: [157] [440/458] learning_rate: 0.147196 loss_vfl: 1.103415 loss_bbox: 0.488195 loss_dfl: 0.452992 loss: 2.052632 eta: 15:21:00 batch_cost: 0.8340 data_cost: 0.1795 ips: 76.7351 images/s
[03/19 06:06:39] ppdet.engine INFO: Epoch: [158] [  0/458] learning_rate: 0.147130 loss_vfl: 0.999322 loss_bbox: 0.440411 loss_dfl: 0.404319 loss: 1.863202 eta: 15:20:47 batch_cost: 1.0132 data_cost: 0.4136 ips: 63.1634 images/s
[03/19 06:06:59] ppdet.engine INFO: Epoch: [158] [ 20/458] learning_rate: 0.147057 loss_vfl: 1.052021 loss_bbox: 0.456917 loss_dfl: 0.435631 loss: 1.937262 eta: 15:20:29 batch_cost: 0.8106 data_cost: 0.0771 ips: 78.9562 images/s
[03/19 06:07:19] ppdet.engine INFO: Epoch: [158] [ 40/458] learning_rate: 0.146984 loss_vfl: 1.006183 loss_bbox: 0.444802 loss_dfl: 0.415393 loss: 1.906049 eta: 15:20:13 batch_cost: 0.8711 data_cost: 0.2515 ips: 73.4733 images/s
[03/19 06:07:36] ppdet.engine INFO: Epoch: [158] [ 60/458] learning_rate: 0.146911 loss_vfl: 1.089372 loss_bbox: 0.507088 loss_dfl: 0.456626 loss: 2.062706 eta: 15:19:54 batch_cost: 0.7425 data_cost: 0.1777 ips: 86.2009 images/s
[03/19 06:07:57] ppdet.engine INFO: Epoch: [158] [ 80/458] learning_rate: 0.146838 loss_vfl: 1.063043 loss_bbox: 0.478089 loss_dfl: 0.434980 loss: 1.987606 eta: 15:19:37 batch_cost: 0.8674 data_cost: 0.3155 ips: 73.7868 images/s
[03/19 06:08:17] ppdet.engine INFO: Epoch: [158] [100/458] learning_rate: 0.146765 loss_vfl: 1.089725 loss_bbox: 0.470625 loss_dfl: 0.440299 loss: 1.994164 eta: 15:19:20 batch_cost: 0.8362 data_cost: 0.2107 ips: 76.5334 images/s
[03/19 06:08:38] ppdet.engine INFO: Epoch: [158] [120/458] learning_rate: 0.146692 loss_vfl: 1.095629 loss_bbox: 0.488135 loss_dfl: 0.450673 loss: 2.018391 eta: 15:19:05 batch_cost: 0.9394 data_cost: 0.3742 ips: 68.1289 images/s
[03/19 06:08:58] ppdet.engine INFO: Epoch: [158] [140/458] learning_rate: 0.146619 loss_vfl: 1.049940 loss_bbox: 0.452326 loss_dfl: 0.425395 loss: 1.917919 eta: 15:18:48 batch_cost: 0.8565 data_cost: 0.2035 ips: 74.7191 images/s
[03/19 06:09:15] ppdet.engine INFO: Epoch: [158] [160/458] learning_rate: 0.146546 loss_vfl: 1.061943 loss_bbox: 0.475942 loss_dfl: 0.443407 loss: 1.975791 eta: 15:18:29 batch_cost: 0.7360 data_cost: 0.0222 ips: 86.9556 images/s
[03/19 06:09:31] ppdet.engine INFO: Epoch: [158] [180/458] learning_rate: 0.146473 loss_vfl: 1.092808 loss_bbox: 0.503058 loss_dfl: 0.453579 loss: 2.064432 eta: 15:18:08 batch_cost: 0.6591 data_cost: 0.0668 ips: 97.0983 images/s
[03/19 06:09:47] ppdet.engine INFO: Epoch: [158] [200/458] learning_rate: 0.146400 loss_vfl: 1.033760 loss_bbox: 0.463106 loss_dfl: 0.428257 loss: 1.928094 eta: 15:17:48 batch_cost: 0.6864 data_cost: 0.0029 ips: 93.2374 images/s
[03/19 06:10:03] ppdet.engine INFO: Epoch: [158] [220/458] learning_rate: 0.146327 loss_vfl: 1.037287 loss_bbox: 0.462938 loss_dfl: 0.422147 loss: 1.922463 eta: 15:17:30 batch_cost: 0.7490 data_cost: 0.0036 ips: 85.4456 images/s
[03/19 06:10:23] ppdet.engine INFO: Epoch: [158] [240/458] learning_rate: 0.146254 loss_vfl: 1.065312 loss_bbox: 0.464238 loss_dfl: 0.430609 loss: 1.953562 eta: 15:17:13 batch_cost: 0.8727 data_cost: 0.0041 ips: 73.3315 images/s
[03/19 06:10:42] ppdet.engine INFO: Epoch: [158] [260/458] learning_rate: 0.146180 loss_vfl: 1.075807 loss_bbox: 0.489684 loss_dfl: 0.446288 loss: 1.986110 eta: 15:16:56 batch_cost: 0.8138 data_cost: 0.0412 ips: 78.6404 images/s
[03/19 06:11:02] ppdet.engine INFO: Epoch: [158] [280/458] learning_rate: 0.146107 loss_vfl: 1.011492 loss_bbox: 0.467615 loss_dfl: 0.432646 loss: 1.912287 eta: 15:16:40 batch_cost: 0.9209 data_cost: 0.1967 ips: 69.4954 images/s
[03/19 06:11:21] ppdet.engine INFO: Epoch: [158] [300/458] learning_rate: 0.146034 loss_vfl: 1.035644 loss_bbox: 0.468769 loss_dfl: 0.431440 loss: 1.943279 eta: 15:16:22 batch_cost: 0.8309 data_cost: 0.2653 ips: 77.0284 images/s
[03/19 06:11:40] ppdet.engine INFO: Epoch: [158] [320/458] learning_rate: 0.145961 loss_vfl: 1.025985 loss_bbox: 0.458776 loss_dfl: 0.419058 loss: 1.901128 eta: 15:16:06 batch_cost: 0.8645 data_cost: 0.2874 ips: 74.0351 images/s
[03/19 06:12:00] ppdet.engine INFO: Epoch: [158] [340/458] learning_rate: 0.145888 loss_vfl: 1.024416 loss_bbox: 0.457437 loss_dfl: 0.427741 loss: 1.921253 eta: 15:15:49 batch_cost: 0.8551 data_cost: 0.1868 ips: 74.8446 images/s
[03/19 06:12:21] ppdet.engine INFO: Epoch: [158] [360/458] learning_rate: 0.145815 loss_vfl: 1.024424 loss_bbox: 0.463387 loss_dfl: 0.416756 loss: 1.895974 eta: 15:15:34 batch_cost: 0.9480 data_cost: 0.2902 ips: 67.5082 images/s
[03/19 06:12:39] ppdet.engine INFO: Epoch: [158] [380/458] learning_rate: 0.145742 loss_vfl: 1.062694 loss_bbox: 0.481000 loss_dfl: 0.431375 loss: 1.965215 eta: 15:15:16 batch_cost: 0.7883 data_cost: 0.1450 ips: 81.1880 images/s
[03/19 06:12:59] ppdet.engine INFO: Epoch: [158] [400/458] learning_rate: 0.145669 loss_vfl: 1.178189 loss_bbox: 0.519496 loss_dfl: 0.482394 loss: 2.152005 eta: 15:15:00 batch_cost: 0.9106 data_cost: 0.2120 ips: 70.2849 images/s
[03/19 06:13:19] ppdet.engine INFO: Epoch: [158] [420/458] learning_rate: 0.145596 loss_vfl: 1.042202 loss_bbox: 0.477979 loss_dfl: 0.442519 loss: 1.973929 eta: 15:14:43 batch_cost: 0.8722 data_cost: 0.3591 ips: 73.3781 images/s
[03/19 06:13:39] ppdet.engine INFO: Epoch: [158] [440/458] learning_rate: 0.145523 loss_vfl: 1.084640 loss_bbox: 0.499251 loss_dfl: 0.456679 loss: 2.032423 eta: 15:14:26 batch_cost: 0.8583 data_cost: 0.3107 ips: 74.5635 images/s
[03/19 06:13:58] ppdet.engine INFO: Epoch: [159] [  0/458] learning_rate: 0.145457 loss_vfl: 1.013296 loss_bbox: 0.445409 loss_dfl: 0.414574 loss: 1.887960 eta: 15:14:13 batch_cost: 0.9643 data_cost: 0.4985 ips: 66.3693 images/s
[03/19 06:14:19] ppdet.engine INFO: Epoch: [159] [ 20/458] learning_rate: 0.145384 loss_vfl: 1.077855 loss_bbox: 0.490611 loss_dfl: 0.454526 loss: 2.048838 eta: 15:13:58 batch_cost: 0.9851 data_cost: 0.2036 ips: 64.9670 images/s
[03/19 06:14:39] ppdet.engine INFO: Epoch: [159] [ 40/458] learning_rate: 0.145311 loss_vfl: 1.064331 loss_bbox: 0.471301 loss_dfl: 0.439531 loss: 1.970426 eta: 15:13:41 batch_cost: 0.8768 data_cost: 0.2970 ips: 72.9950 images/s
[03/19 06:15:00] ppdet.engine INFO: Epoch: [159] [ 60/458] learning_rate: 0.145238 loss_vfl: 1.020861 loss_bbox: 0.465026 loss_dfl: 0.429913 loss: 1.919585 eta: 15:13:27 batch_cost: 0.9692 data_cost: 0.3490 ips: 66.0307 images/s
[03/19 06:15:20] ppdet.engine INFO: Epoch: [159] [ 80/458] learning_rate: 0.145165 loss_vfl: 1.047278 loss_bbox: 0.460387 loss_dfl: 0.437340 loss: 1.950822 eta: 15:13:10 batch_cost: 0.8864 data_cost: 0.2531 ips: 72.1981 images/s
[03/19 06:15:38] ppdet.engine INFO: Epoch: [159] [100/458] learning_rate: 0.145092 loss_vfl: 1.038416 loss_bbox: 0.465394 loss_dfl: 0.426806 loss: 1.907844 eta: 15:12:52 batch_cost: 0.7881 data_cost: 0.1727 ips: 81.2119 images/s
[03/19 06:15:59] ppdet.engine INFO: Epoch: [159] [120/458] learning_rate: 0.145019 loss_vfl: 1.024640 loss_bbox: 0.482729 loss_dfl: 0.430601 loss: 1.941404 eta: 15:12:36 batch_cost: 0.9098 data_cost: 0.0249 ips: 70.3433 images/s
[03/19 06:16:17] ppdet.engine INFO: Epoch: [159] [140/458] learning_rate: 0.144946 loss_vfl: 1.056218 loss_bbox: 0.459106 loss_dfl: 0.413985 loss: 1.884232 eta: 15:12:19 batch_cost: 0.8311 data_cost: 0.1559 ips: 77.0020 images/s
[03/19 06:16:35] ppdet.engine INFO: Epoch: [159] [160/458] learning_rate: 0.144873 loss_vfl: 1.034935 loss_bbox: 0.460429 loss_dfl: 0.420286 loss: 1.908791 eta: 15:12:01 batch_cost: 0.7856 data_cost: 0.1457 ips: 81.4714 images/s
[03/19 06:16:51] ppdet.engine INFO: Epoch: [159] [180/458] learning_rate: 0.144800 loss_vfl: 1.047428 loss_bbox: 0.498277 loss_dfl: 0.447509 loss: 1.976869 eta: 15:11:41 batch_cost: 0.6951 data_cost: 0.2922 ips: 92.0777 images/s
[03/19 06:17:05] ppdet.engine INFO: Epoch: [159] [200/458] learning_rate: 0.144727 loss_vfl: 1.082176 loss_bbox: 0.492273 loss_dfl: 0.451177 loss: 2.030066 eta: 15:11:20 batch_cost: 0.6160 data_cost: 0.1998 ips: 103.8972 images/s
[03/19 06:17:23] ppdet.engine INFO: Epoch: [159] [220/458] learning_rate: 0.144654 loss_vfl: 0.981506 loss_bbox: 0.441287 loss_dfl: 0.420958 loss: 1.846850 eta: 15:11:02 batch_cost: 0.7824 data_cost: 0.1346 ips: 81.8024 images/s
[03/19 06:17:45] ppdet.engine INFO: Epoch: [159] [240/458] learning_rate: 0.144581 loss_vfl: 1.116873 loss_bbox: 0.475898 loss_dfl: 0.446774 loss: 2.047948 eta: 15:10:47 batch_cost: 0.9717 data_cost: 0.1210 ips: 65.8661 images/s
[03/19 06:18:04] ppdet.engine INFO: Epoch: [159] [260/458] learning_rate: 0.144508 loss_vfl: 1.048986 loss_bbox: 0.481401 loss_dfl: 0.438178 loss: 1.957922 eta: 15:10:31 batch_cost: 0.8918 data_cost: 0.1123 ips: 71.7684 images/s
[03/19 06:18:25] ppdet.engine INFO: Epoch: [159] [280/458] learning_rate: 0.144435 loss_vfl: 1.059149 loss_bbox: 0.486823 loss_dfl: 0.432426 loss: 1.949123 eta: 15:10:15 batch_cost: 0.9268 data_cost: 0.3721 ips: 69.0578 images/s
[03/19 06:18:44] ppdet.engine INFO: Epoch: [159] [300/458] learning_rate: 0.144362 loss_vfl: 1.061833 loss_bbox: 0.464107 loss_dfl: 0.437588 loss: 1.983294 eta: 15:09:58 batch_cost: 0.8547 data_cost: 0.2683 ips: 74.8838 images/s
[03/19 06:19:04] ppdet.engine INFO: Epoch: [159] [320/458] learning_rate: 0.144289 loss_vfl: 1.012421 loss_bbox: 0.464595 loss_dfl: 0.434947 loss: 1.892962 eta: 15:09:42 batch_cost: 0.8647 data_cost: 0.3690 ips: 74.0137 images/s
[03/19 06:19:24] ppdet.engine INFO: Epoch: [159] [340/458] learning_rate: 0.144216 loss_vfl: 1.038991 loss_bbox: 0.463796 loss_dfl: 0.431481 loss: 1.966944 eta: 15:09:26 batch_cost: 0.9187 data_cost: 0.3099 ips: 69.6653 images/s
[03/19 06:19:46] ppdet.engine INFO: Epoch: [159] [360/458] learning_rate: 0.144143 loss_vfl: 1.045948 loss_bbox: 0.465824 loss_dfl: 0.437548 loss: 1.932525 eta: 15:09:11 batch_cost: 1.0030 data_cost: 0.3940 ips: 63.8098 images/s
[03/19 06:20:05] ppdet.engine INFO: Epoch: [159] [380/458] learning_rate: 0.144071 loss_vfl: 1.042262 loss_bbox: 0.454302 loss_dfl: 0.430459 loss: 1.930902 eta: 15:08:54 batch_cost: 0.8437 data_cost: 0.1959 ips: 75.8556 images/s
[03/19 06:20:24] ppdet.engine INFO: Epoch: [159] [400/458] learning_rate: 0.143998 loss_vfl: 1.051545 loss_bbox: 0.474808 loss_dfl: 0.432040 loss: 1.939378 eta: 15:08:38 batch_cost: 0.9045 data_cost: 0.1946 ips: 70.7576 images/s
[03/19 06:20:46] ppdet.engine INFO: Epoch: [159] [420/458] learning_rate: 0.143925 loss_vfl: 0.984086 loss_bbox: 0.436429 loss_dfl: 0.411399 loss: 1.827593 eta: 15:08:24 batch_cost: 1.0009 data_cost: 0.4275 ips: 63.9396 images/s
[03/19 06:21:04] ppdet.engine INFO: Epoch: [159] [440/458] learning_rate: 0.143852 loss_vfl: 1.078727 loss_bbox: 0.486605 loss_dfl: 0.451027 loss: 2.032219 eta: 15:08:06 batch_cost: 0.7976 data_cost: 0.1058 ips: 80.2411 images/s
[03/19 06:21:17] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 06:21:18] ppdet.engine INFO: Eval iter: 0
[03/19 06:21:35] ppdet.engine INFO: Eval iter: 100
[03/19 06:21:44] ppdet.engine INFO: Eval iter: 200
[03/19 06:21:53] ppdet.engine INFO: Eval iter: 300
[03/19 06:22:02] ppdet.engine INFO: Eval iter: 400
[03/19 06:22:11] ppdet.engine INFO: Eval iter: 500
[03/19 06:22:20] ppdet.engine INFO: Eval iter: 600
[03/19 06:22:34] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.91s)
creating index...
index created!
[03/19 06:22:35] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.37s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.66s).
Accumulating evaluation results...
DONE (t=15.65s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.213
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.327
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.222
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.057
 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 ] = 0.382
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.228
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.364
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.386
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.107
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.421
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.657
[03/19 06:24:15] ppdet.engine INFO: Total sample number: 4952, averge FPS: 75.90286413922033
[03/19 06:24:15] ppdet.engine INFO: Best test bbox ap is 0.213.
[03/19 06:24:15] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 06:24:15] ppdet.engine INFO: Epoch: [160] [  0/458] learning_rate: 0.143786 loss_vfl: 1.047426 loss_bbox: 0.492537 loss_dfl: 0.439271 loss: 1.993259 eta: 15:07:47 batch_cost: 0.6245 data_cost: 0.1189 ips: 102.4888 images/s
[03/19 06:24:30] ppdet.engine INFO: Epoch: [160] [ 20/458] learning_rate: 0.143713 loss_vfl: 1.044523 loss_bbox: 0.471842 loss_dfl: 0.434258 loss: 1.933465 eta: 15:07:26 batch_cost: 0.6474 data_cost: 0.0009 ips: 98.8595 images/s
[03/19 06:24:52] ppdet.engine INFO: Epoch: [160] [ 40/458] learning_rate: 0.143640 loss_vfl: 1.025324 loss_bbox: 0.455989 loss_dfl: 0.430421 loss: 1.898234 eta: 15:07:12 batch_cost: 1.0084 data_cost: 0.0030 ips: 63.4692 images/s
[03/19 06:25:12] ppdet.engine INFO: Epoch: [160] [ 60/458] learning_rate: 0.143567 loss_vfl: 1.093008 loss_bbox: 0.480299 loss_dfl: 0.445806 loss: 2.025918 eta: 15:06:56 batch_cost: 0.9151 data_cost: 0.0014 ips: 69.9402 images/s
[03/19 06:25:30] ppdet.engine INFO: Epoch: [160] [ 80/458] learning_rate: 0.143494 loss_vfl: 1.032545 loss_bbox: 0.447572 loss_dfl: 0.420432 loss: 1.897990 eta: 15:06:39 batch_cost: 0.8324 data_cost: 0.0015 ips: 76.8900 images/s
[03/19 06:25:52] ppdet.engine INFO: Epoch: [160] [100/458] learning_rate: 0.143421 loss_vfl: 1.041336 loss_bbox: 0.460971 loss_dfl: 0.433143 loss: 1.927975 eta: 15:06:24 batch_cost: 0.9795 data_cost: 0.0069 ips: 65.3422 images/s
[03/19 06:26:10] ppdet.engine INFO: Epoch: [160] [120/458] learning_rate: 0.143348 loss_vfl: 1.071537 loss_bbox: 0.449012 loss_dfl: 0.432108 loss: 1.953324 eta: 15:06:06 batch_cost: 0.8034 data_cost: 0.0009 ips: 79.6611 images/s
[03/19 06:26:30] ppdet.engine INFO: Epoch: [160] [140/458] learning_rate: 0.143275 loss_vfl: 1.058860 loss_bbox: 0.467076 loss_dfl: 0.431748 loss: 1.941616 eta: 15:05:51 batch_cost: 0.9231 data_cost: 0.0010 ips: 69.3345 images/s
[03/19 06:26:50] ppdet.engine INFO: Epoch: [160] [160/458] learning_rate: 0.143203 loss_vfl: 1.110392 loss_bbox: 0.512822 loss_dfl: 0.472874 loss: 2.109359 eta: 15:05:35 batch_cost: 0.9114 data_cost: 0.0010 ips: 70.2253 images/s
[03/19 06:27:09] ppdet.engine INFO: Epoch: [160] [180/458] learning_rate: 0.143130 loss_vfl: 1.008070 loss_bbox: 0.475004 loss_dfl: 0.424729 loss: 1.901729 eta: 15:05:18 batch_cost: 0.8428 data_cost: 0.0069 ips: 75.9343 images/s
[03/19 06:27:29] ppdet.engine INFO: Epoch: [160] [200/458] learning_rate: 0.143057 loss_vfl: 1.049357 loss_bbox: 0.450549 loss_dfl: 0.430115 loss: 1.937775 eta: 15:05:02 batch_cost: 0.9296 data_cost: 0.0051 ips: 68.8493 images/s
[03/19 06:27:49] ppdet.engine INFO: Epoch: [160] [220/458] learning_rate: 0.142984 loss_vfl: 1.084170 loss_bbox: 0.493064 loss_dfl: 0.457443 loss: 2.012092 eta: 15:04:46 batch_cost: 0.8959 data_cost: 0.0025 ips: 71.4345 images/s
[03/19 06:28:10] ppdet.engine INFO: Epoch: [160] [240/458] learning_rate: 0.142911 loss_vfl: 1.114389 loss_bbox: 0.485248 loss_dfl: 0.455478 loss: 2.044564 eta: 15:04:31 batch_cost: 0.9885 data_cost: 0.0019 ips: 64.7474 images/s
[03/19 06:28:29] ppdet.engine INFO: Epoch: [160] [260/458] learning_rate: 0.142838 loss_vfl: 1.078696 loss_bbox: 0.462258 loss_dfl: 0.438329 loss: 2.000061 eta: 15:04:15 batch_cost: 0.8702 data_cost: 0.0026 ips: 73.5436 images/s
[03/19 06:28:45] ppdet.engine INFO: Epoch: [160] [280/458] learning_rate: 0.142765 loss_vfl: 1.019935 loss_bbox: 0.474543 loss_dfl: 0.426156 loss: 1.923637 eta: 15:03:54 batch_cost: 0.6636 data_cost: 0.0016 ips: 96.4387 images/s
[03/19 06:29:05] ppdet.engine INFO: Epoch: [160] [300/458] learning_rate: 0.142692 loss_vfl: 1.000504 loss_bbox: 0.459332 loss_dfl: 0.421381 loss: 1.890012 eta: 15:03:38 batch_cost: 0.8767 data_cost: 0.0047 ips: 73.0046 images/s
[03/19 06:29:28] ppdet.engine INFO: Epoch: [160] [320/458] learning_rate: 0.142619 loss_vfl: 1.038027 loss_bbox: 0.460771 loss_dfl: 0.427207 loss: 1.905533 eta: 15:03:24 batch_cost: 1.0343 data_cost: 0.0029 ips: 61.8753 images/s
[03/19 06:29:47] ppdet.engine INFO: Epoch: [160] [340/458] learning_rate: 0.142546 loss_vfl: 1.062780 loss_bbox: 0.473328 loss_dfl: 0.431996 loss: 1.968277 eta: 15:03:08 batch_cost: 0.9097 data_cost: 0.0025 ips: 70.3506 images/s
[03/19 06:30:09] ppdet.engine INFO: Epoch: [160] [360/458] learning_rate: 0.142473 loss_vfl: 1.020901 loss_bbox: 0.457324 loss_dfl: 0.421056 loss: 1.905921 eta: 15:02:54 batch_cost: 1.0087 data_cost: 0.0031 ips: 63.4474 images/s
[03/19 06:30:27] ppdet.engine INFO: Epoch: [160] [380/458] learning_rate: 0.142401 loss_vfl: 1.041746 loss_bbox: 0.448833 loss_dfl: 0.419260 loss: 1.884552 eta: 15:02:36 batch_cost: 0.8074 data_cost: 0.0022 ips: 79.2649 images/s
[03/19 06:30:43] ppdet.engine INFO: Epoch: [160] [400/458] learning_rate: 0.142328 loss_vfl: 1.079343 loss_bbox: 0.487171 loss_dfl: 0.447116 loss: 2.012987 eta: 15:02:17 batch_cost: 0.7118 data_cost: 0.0094 ips: 89.9077 images/s
[03/19 06:30:58] ppdet.engine INFO: Epoch: [160] [420/458] learning_rate: 0.142255 loss_vfl: 1.091859 loss_bbox: 0.476749 loss_dfl: 0.456968 loss: 2.047235 eta: 15:01:57 batch_cost: 0.6671 data_cost: 0.0043 ips: 95.9419 images/s
[03/19 06:31:13] ppdet.engine INFO: Epoch: [160] [440/458] learning_rate: 0.142182 loss_vfl: 1.041741 loss_bbox: 0.476229 loss_dfl: 0.441165 loss: 1.966825 eta: 15:01:36 batch_cost: 0.6616 data_cost: 0.0065 ips: 96.7362 images/s
[03/19 06:31:35] ppdet.engine INFO: Epoch: [161] [  0/458] learning_rate: 0.142116 loss_vfl: 1.028381 loss_bbox: 0.474267 loss_dfl: 0.434182 loss: 1.916166 eta: 15:01:25 batch_cost: 1.0695 data_cost: 0.2481 ips: 59.8390 images/s
[03/19 06:31:55] ppdet.engine INFO: Epoch: [161] [ 20/458] learning_rate: 0.142044 loss_vfl: 1.076448 loss_bbox: 0.475630 loss_dfl: 0.435005 loss: 1.985277 eta: 15:01:09 batch_cost: 0.8891 data_cost: 0.0038 ips: 71.9804 images/s
[03/19 06:32:13] ppdet.engine INFO: Epoch: [161] [ 40/458] learning_rate: 0.141971 loss_vfl: 1.038821 loss_bbox: 0.474884 loss_dfl: 0.433855 loss: 1.924074 eta: 15:00:52 batch_cost: 0.8499 data_cost: 0.0018 ips: 75.3019 images/s
[03/19 06:32:34] ppdet.engine INFO: Epoch: [161] [ 60/458] learning_rate: 0.141898 loss_vfl: 1.038163 loss_bbox: 0.477659 loss_dfl: 0.440311 loss: 1.958216 eta: 15:00:37 batch_cost: 0.9550 data_cost: 0.0009 ips: 67.0178 images/s
[03/19 06:32:52] ppdet.engine INFO: Epoch: [161] [ 80/458] learning_rate: 0.141825 loss_vfl: 1.044923 loss_bbox: 0.469443 loss_dfl: 0.438667 loss: 1.963427 eta: 15:00:19 batch_cost: 0.7975 data_cost: 0.0013 ips: 80.2530 images/s
[03/19 06:33:13] ppdet.engine INFO: Epoch: [161] [100/458] learning_rate: 0.141752 loss_vfl: 1.078705 loss_bbox: 0.499380 loss_dfl: 0.459455 loss: 2.051672 eta: 15:00:04 batch_cost: 0.9466 data_cost: 0.0034 ips: 67.6080 images/s
[03/19 06:33:33] ppdet.engine INFO: Epoch: [161] [120/458] learning_rate: 0.141679 loss_vfl: 1.042881 loss_bbox: 0.479701 loss_dfl: 0.442268 loss: 1.982214 eta: 14:59:48 batch_cost: 0.9073 data_cost: 0.0029 ips: 70.5364 images/s
[03/19 06:33:52] ppdet.engine INFO: Epoch: [161] [140/458] learning_rate: 0.141606 loss_vfl: 1.058544 loss_bbox: 0.464620 loss_dfl: 0.433550 loss: 1.930297 eta: 14:59:30 batch_cost: 0.8213 data_cost: 0.0088 ips: 77.9257 images/s
[03/19 06:34:13] ppdet.engine INFO: Epoch: [161] [160/458] learning_rate: 0.141534 loss_vfl: 1.058856 loss_bbox: 0.471968 loss_dfl: 0.427557 loss: 1.942656 eta: 14:59:16 batch_cost: 0.9929 data_cost: 0.0018 ips: 64.4574 images/s
[03/19 06:34:33] ppdet.engine INFO: Epoch: [161] [180/458] learning_rate: 0.141461 loss_vfl: 1.090406 loss_bbox: 0.475078 loss_dfl: 0.453103 loss: 2.026327 eta: 14:58:59 batch_cost: 0.8944 data_cost: 0.0025 ips: 71.5587 images/s
[03/19 06:34:55] ppdet.engine INFO: Epoch: [161] [200/458] learning_rate: 0.141388 loss_vfl: 1.042753 loss_bbox: 0.451976 loss_dfl: 0.432307 loss: 1.926685 eta: 14:58:44 batch_cost: 0.9675 data_cost: 0.0066 ips: 66.1494 images/s
[03/19 06:35:13] ppdet.engine INFO: Epoch: [161] [220/458] learning_rate: 0.141315 loss_vfl: 1.027289 loss_bbox: 0.466687 loss_dfl: 0.426919 loss: 1.947527 eta: 14:58:26 batch_cost: 0.7707 data_cost: 0.0012 ips: 83.0439 images/s
[03/19 06:35:32] ppdet.engine INFO: Epoch: [161] [240/458] learning_rate: 0.141242 loss_vfl: 1.072331 loss_bbox: 0.482039 loss_dfl: 0.445538 loss: 2.001059 eta: 14:58:10 batch_cost: 0.8908 data_cost: 0.0011 ips: 71.8461 images/s
[03/19 06:35:55] ppdet.engine INFO: Epoch: [161] [260/458] learning_rate: 0.141169 loss_vfl: 1.028688 loss_bbox: 0.456423 loss_dfl: 0.429133 loss: 1.901667 eta: 14:57:56 batch_cost: 1.0227 data_cost: 0.0080 ips: 62.5809 images/s
[03/19 06:36:12] ppdet.engine INFO: Epoch: [161] [280/458] learning_rate: 0.141097 loss_vfl: 1.040598 loss_bbox: 0.460168 loss_dfl: 0.429682 loss: 1.946478 eta: 14:57:38 batch_cost: 0.7935 data_cost: 0.0032 ips: 80.6603 images/s
[03/19 06:36:32] ppdet.engine INFO: Epoch: [161] [300/458] learning_rate: 0.141024 loss_vfl: 1.074421 loss_bbox: 0.451812 loss_dfl: 0.431928 loss: 1.949177 eta: 14:57:21 batch_cost: 0.8855 data_cost: 0.0066 ips: 72.2789 images/s
[03/19 06:36:52] ppdet.engine INFO: Epoch: [161] [320/458] learning_rate: 0.140951 loss_vfl: 1.042567 loss_bbox: 0.476035 loss_dfl: 0.440561 loss: 1.972999 eta: 14:57:04 batch_cost: 0.8495 data_cost: 0.0083 ips: 75.3398 images/s
[03/19 06:37:12] ppdet.engine INFO: Epoch: [161] [340/458] learning_rate: 0.140878 loss_vfl: 1.087830 loss_bbox: 0.482930 loss_dfl: 0.449637 loss: 2.009771 eta: 14:56:48 batch_cost: 0.9090 data_cost: 0.0122 ips: 70.4101 images/s
[03/19 06:37:32] ppdet.engine INFO: Epoch: [161] [360/458] learning_rate: 0.140805 loss_vfl: 1.035406 loss_bbox: 0.468689 loss_dfl: 0.424565 loss: 1.910060 eta: 14:56:33 batch_cost: 0.9263 data_cost: 0.0015 ips: 69.0915 images/s
[03/19 06:37:52] ppdet.engine INFO: Epoch: [161] [380/458] learning_rate: 0.140733 loss_vfl: 1.013561 loss_bbox: 0.460382 loss_dfl: 0.424516 loss: 1.893533 eta: 14:56:17 batch_cost: 0.8977 data_cost: 0.0033 ips: 71.2924 images/s
[03/19 06:38:08] ppdet.engine INFO: Epoch: [161] [400/458] learning_rate: 0.140660 loss_vfl: 1.080106 loss_bbox: 0.486366 loss_dfl: 0.445979 loss: 2.025311 eta: 14:55:58 batch_cost: 0.7508 data_cost: 0.0008 ips: 85.2450 images/s
[03/19 06:38:21] ppdet.engine INFO: Epoch: [161] [420/458] learning_rate: 0.140587 loss_vfl: 1.040791 loss_bbox: 0.459921 loss_dfl: 0.427150 loss: 1.934693 eta: 14:55:36 batch_cost: 0.5723 data_cost: 0.0434 ips: 111.8314 images/s
[03/19 06:38:39] ppdet.engine INFO: Epoch: [161] [440/458] learning_rate: 0.140514 loss_vfl: 1.063726 loss_bbox: 0.475025 loss_dfl: 0.436448 loss: 1.979220 eta: 14:55:18 batch_cost: 0.8026 data_cost: 0.1385 ips: 79.7447 images/s
[03/19 06:39:00] ppdet.engine INFO: Epoch: [162] [  0/458] learning_rate: 0.140449 loss_vfl: 1.097770 loss_bbox: 0.496392 loss_dfl: 0.443613 loss: 2.024504 eta: 14:55:06 batch_cost: 1.0551 data_cost: 0.4112 ips: 60.6570 images/s
[03/19 06:39:20] ppdet.engine INFO: Epoch: [162] [ 20/458] learning_rate: 0.140376 loss_vfl: 1.009440 loss_bbox: 0.461083 loss_dfl: 0.437478 loss: 1.917753 eta: 14:54:50 batch_cost: 0.8701 data_cost: 0.0014 ips: 73.5566 images/s
[03/19 06:39:41] ppdet.engine INFO: Epoch: [162] [ 40/458] learning_rate: 0.140303 loss_vfl: 1.020453 loss_bbox: 0.442509 loss_dfl: 0.421882 loss: 1.873994 eta: 14:54:34 batch_cost: 0.9615 data_cost: 0.0065 ips: 66.5610 images/s
[03/19 06:40:04] ppdet.engine INFO: Epoch: [162] [ 60/458] learning_rate: 0.140230 loss_vfl: 1.004398 loss_bbox: 0.447073 loss_dfl: 0.411313 loss: 1.876017 eta: 14:54:21 batch_cost: 1.0560 data_cost: 0.0003 ips: 60.6050 images/s
[03/19 06:40:22] ppdet.engine INFO: Epoch: [162] [ 80/458] learning_rate: 0.140158 loss_vfl: 1.036672 loss_bbox: 0.463268 loss_dfl: 0.434473 loss: 1.935529 eta: 14:54:04 batch_cost: 0.8256 data_cost: 0.0021 ips: 77.5192 images/s
[03/19 06:40:44] ppdet.engine INFO: Epoch: [162] [100/458] learning_rate: 0.140085 loss_vfl: 1.088051 loss_bbox: 0.496074 loss_dfl: 0.458117 loss: 2.051785 eta: 14:53:49 batch_cost: 1.0212 data_cost: 0.0011 ips: 62.6718 images/s
[03/19 06:41:05] ppdet.engine INFO: Epoch: [162] [120/458] learning_rate: 0.140012 loss_vfl: 1.070197 loss_bbox: 0.482583 loss_dfl: 0.433226 loss: 2.002773 eta: 14:53:34 batch_cost: 0.9292 data_cost: 0.0007 ips: 68.8736 images/s
[03/19 06:41:24] ppdet.engine INFO: Epoch: [162] [140/458] learning_rate: 0.139939 loss_vfl: 1.056398 loss_bbox: 0.458929 loss_dfl: 0.429290 loss: 1.927214 eta: 14:53:17 batch_cost: 0.8495 data_cost: 0.0048 ips: 75.3345 images/s
[03/19 06:41:41] ppdet.engine INFO: Epoch: [162] [160/458] learning_rate: 0.139867 loss_vfl: 1.076058 loss_bbox: 0.503503 loss_dfl: 0.457298 loss: 2.033729 eta: 14:52:59 batch_cost: 0.7992 data_cost: 0.0030 ips: 80.0836 images/s
[03/19 06:42:00] ppdet.engine INFO: Epoch: [162] [180/458] learning_rate: 0.139794 loss_vfl: 1.077374 loss_bbox: 0.469662 loss_dfl: 0.444272 loss: 1.989606 eta: 14:52:42 batch_cost: 0.8643 data_cost: 0.0042 ips: 74.0478 images/s
[03/19 06:42:20] ppdet.engine INFO: Epoch: [162] [200/458] learning_rate: 0.139721 loss_vfl: 1.062018 loss_bbox: 0.466835 loss_dfl: 0.434852 loss: 1.963851 eta: 14:52:26 batch_cost: 0.8989 data_cost: 0.0028 ips: 71.1996 images/s
[03/19 06:42:41] ppdet.engine INFO: Epoch: [162] [220/458] learning_rate: 0.139648 loss_vfl: 1.039380 loss_bbox: 0.450038 loss_dfl: 0.422812 loss: 1.901933 eta: 14:52:11 batch_cost: 0.9420 data_cost: 0.0009 ips: 67.9382 images/s
[03/19 06:43:00] ppdet.engine INFO: Epoch: [162] [240/458] learning_rate: 0.139576 loss_vfl: 1.088357 loss_bbox: 0.483712 loss_dfl: 0.450999 loss: 2.017763 eta: 14:51:54 batch_cost: 0.8609 data_cost: 0.0007 ips: 74.3399 images/s
[03/19 06:43:21] ppdet.engine INFO: Epoch: [162] [260/458] learning_rate: 0.139503 loss_vfl: 1.057853 loss_bbox: 0.486846 loss_dfl: 0.434615 loss: 1.960940 eta: 14:51:39 batch_cost: 0.9583 data_cost: 0.0014 ips: 66.7818 images/s
[03/19 06:43:39] ppdet.engine INFO: Epoch: [162] [280/458] learning_rate: 0.139430 loss_vfl: 1.041309 loss_bbox: 0.450138 loss_dfl: 0.423001 loss: 1.924342 eta: 14:51:21 batch_cost: 0.7988 data_cost: 0.0016 ips: 80.1243 images/s
[03/19 06:43:57] ppdet.engine INFO: Epoch: [162] [300/458] learning_rate: 0.139358 loss_vfl: 1.072739 loss_bbox: 0.493977 loss_dfl: 0.452716 loss: 2.032174 eta: 14:51:04 batch_cost: 0.8490 data_cost: 0.0025 ips: 75.3787 images/s
[03/19 06:44:19] ppdet.engine INFO: Epoch: [162] [320/458] learning_rate: 0.139285 loss_vfl: 1.048047 loss_bbox: 0.461001 loss_dfl: 0.420475 loss: 1.934680 eta: 14:50:49 batch_cost: 0.9830 data_cost: 0.0024 ips: 65.1072 images/s
[03/19 06:44:38] ppdet.engine INFO: Epoch: [162] [340/458] learning_rate: 0.139212 loss_vfl: 1.074818 loss_bbox: 0.460515 loss_dfl: 0.433134 loss: 1.969506 eta: 14:50:32 batch_cost: 0.8770 data_cost: 0.0013 ips: 72.9763 images/s
[03/19 06:44:57] ppdet.engine INFO: Epoch: [162] [360/458] learning_rate: 0.139139 loss_vfl: 1.012806 loss_bbox: 0.447497 loss_dfl: 0.415251 loss: 1.849289 eta: 14:50:16 batch_cost: 0.8725 data_cost: 0.0025 ips: 73.3490 images/s
[03/19 06:45:14] ppdet.engine INFO: Epoch: [162] [380/458] learning_rate: 0.139067 loss_vfl: 1.090272 loss_bbox: 0.491396 loss_dfl: 0.454792 loss: 2.035311 eta: 14:49:58 batch_cost: 0.7741 data_cost: 0.0027 ips: 82.6774 images/s
[03/19 06:45:29] ppdet.engine INFO: Epoch: [162] [400/458] learning_rate: 0.138994 loss_vfl: 1.075081 loss_bbox: 0.480607 loss_dfl: 0.441699 loss: 2.003170 eta: 14:49:37 batch_cost: 0.6438 data_cost: 0.0032 ips: 99.4070 images/s
[03/19 06:45:45] ppdet.engine INFO: Epoch: [162] [420/458] learning_rate: 0.138921 loss_vfl: 1.069935 loss_bbox: 0.491069 loss_dfl: 0.453944 loss: 1.998566 eta: 14:49:17 batch_cost: 0.6825 data_cost: 0.0019 ips: 93.7776 images/s
[03/19 06:46:03] ppdet.engine INFO: Epoch: [162] [440/458] learning_rate: 0.138849 loss_vfl: 1.111135 loss_bbox: 0.488271 loss_dfl: 0.454588 loss: 2.067638 eta: 14:49:00 batch_cost: 0.8095 data_cost: 0.0010 ips: 79.0595 images/s
[03/19 06:46:23] ppdet.engine INFO: Epoch: [163] [  0/458] learning_rate: 0.138783 loss_vfl: 1.057994 loss_bbox: 0.473800 loss_dfl: 0.449951 loss: 1.993128 eta: 14:48:47 batch_cost: 0.9918 data_cost: 0.3748 ips: 64.5319 images/s
[03/19 06:46:41] ppdet.engine INFO: Epoch: [163] [ 20/458] learning_rate: 0.138711 loss_vfl: 1.056568 loss_bbox: 0.421416 loss_dfl: 0.414688 loss: 1.919451 eta: 14:48:29 batch_cost: 0.7983 data_cost: 0.0310 ips: 80.1725 images/s
[03/19 06:47:03] ppdet.engine INFO: Epoch: [163] [ 40/458] learning_rate: 0.138638 loss_vfl: 1.060155 loss_bbox: 0.483425 loss_dfl: 0.443505 loss: 1.979052 eta: 14:48:14 batch_cost: 0.9723 data_cost: 0.0204 ips: 65.8226 images/s
[03/19 06:47:23] ppdet.engine INFO: Epoch: [163] [ 60/458] learning_rate: 0.138565 loss_vfl: 1.023784 loss_bbox: 0.471562 loss_dfl: 0.431814 loss: 1.953599 eta: 14:47:59 batch_cost: 0.9448 data_cost: 0.0264 ips: 67.7393 images/s
[03/19 06:47:40] ppdet.engine INFO: Epoch: [163] [ 80/458] learning_rate: 0.138493 loss_vfl: 1.070944 loss_bbox: 0.484422 loss_dfl: 0.446745 loss: 2.016623 eta: 14:47:40 batch_cost: 0.7587 data_cost: 0.0033 ips: 84.3573 images/s
[03/19 06:48:00] ppdet.engine INFO: Epoch: [163] [100/458] learning_rate: 0.138420 loss_vfl: 1.057951 loss_bbox: 0.458673 loss_dfl: 0.432500 loss: 1.960053 eta: 14:47:24 batch_cost: 0.8908 data_cost: 0.0019 ips: 71.8486 images/s
[03/19 06:48:21] ppdet.engine INFO: Epoch: [163] [120/458] learning_rate: 0.138347 loss_vfl: 1.087329 loss_bbox: 0.493168 loss_dfl: 0.444393 loss: 2.014488 eta: 14:47:09 batch_cost: 0.9735 data_cost: 0.0021 ips: 65.7413 images/s
[03/19 06:48:39] ppdet.engine INFO: Epoch: [163] [140/458] learning_rate: 0.138275 loss_vfl: 1.033780 loss_bbox: 0.462003 loss_dfl: 0.434805 loss: 1.914623 eta: 14:46:51 batch_cost: 0.8102 data_cost: 0.0039 ips: 78.9892 images/s
[03/19 06:49:01] ppdet.engine INFO: Epoch: [163] [160/458] learning_rate: 0.138202 loss_vfl: 0.997788 loss_bbox: 0.439029 loss_dfl: 0.419088 loss: 1.817247 eta: 14:46:37 batch_cost: 1.0133 data_cost: 0.0033 ips: 63.1578 images/s
[03/19 06:49:21] ppdet.engine INFO: Epoch: [163] [180/458] learning_rate: 0.138129 loss_vfl: 0.990307 loss_bbox: 0.449096 loss_dfl: 0.418033 loss: 1.892246 eta: 14:46:20 batch_cost: 0.8574 data_cost: 0.0030 ips: 74.6428 images/s
[03/19 06:49:39] ppdet.engine INFO: Epoch: [163] [200/458] learning_rate: 0.138057 loss_vfl: 1.037302 loss_bbox: 0.447853 loss_dfl: 0.429258 loss: 1.929445 eta: 14:46:02 batch_cost: 0.8038 data_cost: 0.0032 ips: 79.6240 images/s
[03/19 06:50:02] ppdet.engine INFO: Epoch: [163] [220/458] learning_rate: 0.137984 loss_vfl: 1.025306 loss_bbox: 0.452647 loss_dfl: 0.431941 loss: 1.924594 eta: 14:45:49 batch_cost: 1.0410 data_cost: 0.0022 ips: 61.4793 images/s
[03/19 06:50:21] ppdet.engine INFO: Epoch: [163] [240/458] learning_rate: 0.137911 loss_vfl: 1.061017 loss_bbox: 0.462123 loss_dfl: 0.429065 loss: 1.951342 eta: 14:45:32 batch_cost: 0.8688 data_cost: 0.0034 ips: 73.6664 images/s
[03/19 06:50:41] ppdet.engine INFO: Epoch: [163] [260/458] learning_rate: 0.137839 loss_vfl: 1.087157 loss_bbox: 0.465905 loss_dfl: 0.444195 loss: 2.013458 eta: 14:45:16 batch_cost: 0.9129 data_cost: 0.0096 ips: 70.1071 images/s
[03/19 06:51:03] ppdet.engine INFO: Epoch: [163] [280/458] learning_rate: 0.137766 loss_vfl: 1.073149 loss_bbox: 0.496567 loss_dfl: 0.448729 loss: 2.022499 eta: 14:45:02 batch_cost: 1.0282 data_cost: 0.0003 ips: 62.2468 images/s
[03/19 06:51:22] ppdet.engine INFO: Epoch: [163] [300/458] learning_rate: 0.137694 loss_vfl: 1.112026 loss_bbox: 0.472302 loss_dfl: 0.447006 loss: 2.028384 eta: 14:44:45 batch_cost: 0.8484 data_cost: 0.0050 ips: 75.4380 images/s
[03/19 06:51:42] ppdet.engine INFO: Epoch: [163] [320/458] learning_rate: 0.137621 loss_vfl: 1.025252 loss_bbox: 0.446777 loss_dfl: 0.421051 loss: 1.880388 eta: 14:44:28 batch_cost: 0.8662 data_cost: 0.0019 ips: 73.8864 images/s
[03/19 06:52:02] ppdet.engine INFO: Epoch: [163] [340/458] learning_rate: 0.137548 loss_vfl: 1.050626 loss_bbox: 0.481336 loss_dfl: 0.436712 loss: 1.981851 eta: 14:44:12 batch_cost: 0.9350 data_cost: 0.0019 ips: 68.4476 images/s
[03/19 06:52:21] ppdet.engine INFO: Epoch: [163] [360/458] learning_rate: 0.137476 loss_vfl: 1.024320 loss_bbox: 0.435735 loss_dfl: 0.414579 loss: 1.854280 eta: 14:43:54 batch_cost: 0.7850 data_cost: 0.0039 ips: 81.5281 images/s
[03/19 06:52:37] ppdet.engine INFO: Epoch: [163] [380/458] learning_rate: 0.137403 loss_vfl: 1.059723 loss_bbox: 0.470139 loss_dfl: 0.432713 loss: 1.981996 eta: 14:43:35 batch_cost: 0.7153 data_cost: 0.0016 ips: 89.4783 images/s
[03/19 06:52:51] ppdet.engine INFO: Epoch: [163] [400/458] learning_rate: 0.137331 loss_vfl: 1.045724 loss_bbox: 0.441801 loss_dfl: 0.434031 loss: 1.921911 eta: 14:43:14 batch_cost: 0.5934 data_cost: 0.0056 ips: 107.8605 images/s
[03/19 06:53:06] ppdet.engine INFO: Epoch: [163] [420/458] learning_rate: 0.137258 loss_vfl: 1.027456 loss_bbox: 0.456068 loss_dfl: 0.432446 loss: 1.917438 eta: 14:42:54 batch_cost: 0.7012 data_cost: 0.0017 ips: 91.2677 images/s
[03/19 06:53:29] ppdet.engine INFO: Epoch: [163] [440/458] learning_rate: 0.137185 loss_vfl: 1.081066 loss_bbox: 0.477641 loss_dfl: 0.448259 loss: 2.001376 eta: 14:42:40 batch_cost: 1.0233 data_cost: 0.0023 ips: 62.5450 images/s
[03/19 06:53:50] ppdet.engine INFO: Epoch: [164] [  0/458] learning_rate: 0.137120 loss_vfl: 1.039743 loss_bbox: 0.465807 loss_dfl: 0.430620 loss: 1.906072 eta: 14:42:28 batch_cost: 1.0365 data_cost: 0.3938 ips: 61.7489 images/s
[03/19 06:54:11] ppdet.engine INFO: Epoch: [164] [ 20/458] learning_rate: 0.137048 loss_vfl: 1.018232 loss_bbox: 0.457868 loss_dfl: 0.435469 loss: 1.940274 eta: 14:42:13 batch_cost: 0.9318 data_cost: 0.1352 ips: 68.6829 images/s
[03/19 06:54:30] ppdet.engine INFO: Epoch: [164] [ 40/458] learning_rate: 0.136975 loss_vfl: 1.019386 loss_bbox: 0.448209 loss_dfl: 0.418466 loss: 1.876386 eta: 14:41:56 batch_cost: 0.8564 data_cost: 0.0020 ips: 74.7342 images/s
[03/19 06:54:47] ppdet.engine INFO: Epoch: [164] [ 60/458] learning_rate: 0.136902 loss_vfl: 1.043270 loss_bbox: 0.467790 loss_dfl: 0.433911 loss: 1.961139 eta: 14:41:37 batch_cost: 0.7311 data_cost: 0.0039 ips: 87.5444 images/s
[03/19 06:55:11] ppdet.engine INFO: Epoch: [164] [ 80/458] learning_rate: 0.136830 loss_vfl: 1.066959 loss_bbox: 0.446312 loss_dfl: 0.429376 loss: 1.957717 eta: 14:41:24 batch_cost: 1.0921 data_cost: 0.0036 ips: 58.6004 images/s
[03/19 06:55:31] ppdet.engine INFO: Epoch: [164] [100/458] learning_rate: 0.136757 loss_vfl: 1.050942 loss_bbox: 0.477927 loss_dfl: 0.439652 loss: 1.979508 eta: 14:41:08 batch_cost: 0.9176 data_cost: 0.0003 ips: 69.7452 images/s
[03/19 06:55:49] ppdet.engine INFO: Epoch: [164] [120/458] learning_rate: 0.136685 loss_vfl: 1.079164 loss_bbox: 0.466745 loss_dfl: 0.448054 loss: 1.998104 eta: 14:40:51 batch_cost: 0.8393 data_cost: 0.0047 ips: 76.2522 images/s
[03/19 06:56:10] ppdet.engine INFO: Epoch: [164] [140/458] learning_rate: 0.136612 loss_vfl: 1.000952 loss_bbox: 0.455179 loss_dfl: 0.410824 loss: 1.840999 eta: 14:40:36 batch_cost: 0.9878 data_cost: 0.0045 ips: 64.7878 images/s
[03/19 06:56:31] ppdet.engine INFO: Epoch: [164] [160/458] learning_rate: 0.136540 loss_vfl: 1.008919 loss_bbox: 0.453532 loss_dfl: 0.416661 loss: 1.882644 eta: 14:40:20 batch_cost: 0.8948 data_cost: 0.0040 ips: 71.5276 images/s
[03/19 06:56:49] ppdet.engine INFO: Epoch: [164] [180/458] learning_rate: 0.136467 loss_vfl: 1.047920 loss_bbox: 0.446401 loss_dfl: 0.432030 loss: 1.938395 eta: 14:40:03 batch_cost: 0.8527 data_cost: 0.0035 ips: 75.0578 images/s
[03/19 06:57:09] ppdet.engine INFO: Epoch: [164] [200/458] learning_rate: 0.136395 loss_vfl: 1.051549 loss_bbox: 0.485018 loss_dfl: 0.443352 loss: 1.959226 eta: 14:39:46 batch_cost: 0.8502 data_cost: 0.0028 ips: 75.2806 images/s
[03/19 06:57:29] ppdet.engine INFO: Epoch: [164] [220/458] learning_rate: 0.136322 loss_vfl: 1.055996 loss_bbox: 0.477194 loss_dfl: 0.433030 loss: 1.915267 eta: 14:39:30 batch_cost: 0.9454 data_cost: 0.0045 ips: 67.6980 images/s
[03/19 06:57:50] ppdet.engine INFO: Epoch: [164] [240/458] learning_rate: 0.136250 loss_vfl: 1.014470 loss_bbox: 0.449523 loss_dfl: 0.428659 loss: 1.879780 eta: 14:39:16 batch_cost: 0.9831 data_cost: 0.0014 ips: 65.1021 images/s
[03/19 06:58:09] ppdet.engine INFO: Epoch: [164] [260/458] learning_rate: 0.136177 loss_vfl: 1.014987 loss_bbox: 0.467040 loss_dfl: 0.422663 loss: 1.893173 eta: 14:38:59 batch_cost: 0.8821 data_cost: 0.0018 ips: 72.5527 images/s
[03/19 06:58:31] ppdet.engine INFO: Epoch: [164] [280/458] learning_rate: 0.136105 loss_vfl: 1.101151 loss_bbox: 0.471796 loss_dfl: 0.461022 loss: 2.035002 eta: 14:38:44 batch_cost: 0.9709 data_cost: 0.0016 ips: 65.9169 images/s
[03/19 06:58:49] ppdet.engine INFO: Epoch: [164] [300/458] learning_rate: 0.136032 loss_vfl: 1.050058 loss_bbox: 0.464433 loss_dfl: 0.438558 loss: 2.004874 eta: 14:38:27 batch_cost: 0.8414 data_cost: 0.0014 ips: 76.0667 images/s
[03/19 06:59:11] ppdet.engine INFO: Epoch: [164] [320/458] learning_rate: 0.135960 loss_vfl: 1.006169 loss_bbox: 0.435211 loss_dfl: 0.410829 loss: 1.835073 eta: 14:38:12 batch_cost: 1.0031 data_cost: 0.0011 ips: 63.8004 images/s
[03/19 06:59:30] ppdet.engine INFO: Epoch: [164] [340/458] learning_rate: 0.135887 loss_vfl: 1.004502 loss_bbox: 0.444515 loss_dfl: 0.418721 loss: 1.864747 eta: 14:37:55 batch_cost: 0.8103 data_cost: 0.0019 ips: 78.9869 images/s
[03/19 06:59:47] ppdet.engine INFO: Epoch: [164] [360/458] learning_rate: 0.135815 loss_vfl: 1.059191 loss_bbox: 0.501865 loss_dfl: 0.457225 loss: 2.030913 eta: 14:37:36 batch_cost: 0.7271 data_cost: 0.0022 ips: 88.0268 images/s
[03/19 07:00:02] ppdet.engine INFO: Epoch: [164] [380/458] learning_rate: 0.135742 loss_vfl: 1.045482 loss_bbox: 0.478738 loss_dfl: 0.425632 loss: 1.940609 eta: 14:37:16 batch_cost: 0.6938 data_cost: 0.0015 ips: 92.2460 images/s
[03/19 07:00:19] ppdet.engine INFO: Epoch: [164] [400/458] learning_rate: 0.135670 loss_vfl: 1.047223 loss_bbox: 0.462238 loss_dfl: 0.436227 loss: 1.939207 eta: 14:36:58 batch_cost: 0.7498 data_cost: 0.0010 ips: 85.3594 images/s
[03/19 07:00:38] ppdet.engine INFO: Epoch: [164] [420/458] learning_rate: 0.135597 loss_vfl: 1.059933 loss_bbox: 0.497010 loss_dfl: 0.445288 loss: 2.003091 eta: 14:36:41 batch_cost: 0.8574 data_cost: 0.0038 ips: 74.6449 images/s
[03/19 07:00:58] ppdet.engine INFO: Epoch: [164] [440/458] learning_rate: 0.135525 loss_vfl: 0.981053 loss_bbox: 0.453667 loss_dfl: 0.405055 loss: 1.832290 eta: 14:36:25 batch_cost: 0.9531 data_cost: 0.0012 ips: 67.1469 images/s
[03/19 07:01:20] ppdet.engine INFO: Epoch: [165] [  0/458] learning_rate: 0.135459 loss_vfl: 1.038407 loss_bbox: 0.477260 loss_dfl: 0.434858 loss: 1.968297 eta: 14:36:13 batch_cost: 1.0130 data_cost: 0.2759 ips: 63.1812 images/s
[03/19 07:01:36] ppdet.engine INFO: Epoch: [165] [ 20/458] learning_rate: 0.135387 loss_vfl: 1.051137 loss_bbox: 0.477327 loss_dfl: 0.429734 loss: 1.935608 eta: 14:35:54 batch_cost: 0.7075 data_cost: 0.0007 ips: 90.4607 images/s
[03/19 07:01:59] ppdet.engine INFO: Epoch: [165] [ 40/458] learning_rate: 0.135315 loss_vfl: 1.060090 loss_bbox: 0.477130 loss_dfl: 0.438766 loss: 1.970210 eta: 14:35:39 batch_cost: 0.9941 data_cost: 0.0320 ips: 64.3780 images/s
[03/19 07:02:17] ppdet.engine INFO: Epoch: [165] [ 60/458] learning_rate: 0.135242 loss_vfl: 1.028794 loss_bbox: 0.452682 loss_dfl: 0.423509 loss: 1.919120 eta: 14:35:21 batch_cost: 0.7699 data_cost: 0.0017 ips: 83.1320 images/s
[03/19 07:02:37] ppdet.engine INFO: Epoch: [165] [ 80/458] learning_rate: 0.135170 loss_vfl: 1.042478 loss_bbox: 0.476683 loss_dfl: 0.433186 loss: 1.949520 eta: 14:35:04 batch_cost: 0.8594 data_cost: 0.0407 ips: 74.4731 images/s
[03/19 07:02:56] ppdet.engine INFO: Epoch: [165] [100/458] learning_rate: 0.135097 loss_vfl: 1.027231 loss_bbox: 0.460527 loss_dfl: 0.433790 loss: 1.940346 eta: 14:34:47 batch_cost: 0.8480 data_cost: 0.0910 ips: 75.4739 images/s
[03/19 07:03:16] ppdet.engine INFO: Epoch: [165] [120/458] learning_rate: 0.135025 loss_vfl: 1.000973 loss_bbox: 0.462250 loss_dfl: 0.433423 loss: 1.911755 eta: 14:34:30 batch_cost: 0.8636 data_cost: 0.0087 ips: 74.1051 images/s
[03/19 07:03:37] ppdet.engine INFO: Epoch: [165] [140/458] learning_rate: 0.134952 loss_vfl: 1.003298 loss_bbox: 0.443924 loss_dfl: 0.421907 loss: 1.911788 eta: 14:34:15 batch_cost: 0.9451 data_cost: 0.0025 ips: 67.7183 images/s
[03/19 07:03:56] ppdet.engine INFO: Epoch: [165] [160/458] learning_rate: 0.134880 loss_vfl: 1.016066 loss_bbox: 0.440650 loss_dfl: 0.414225 loss: 1.883885 eta: 14:33:58 batch_cost: 0.8858 data_cost: 0.0027 ips: 72.2510 images/s
[03/19 07:04:16] ppdet.engine INFO: Epoch: [165] [180/458] learning_rate: 0.134808 loss_vfl: 1.058422 loss_bbox: 0.453840 loss_dfl: 0.424816 loss: 1.946259 eta: 14:33:42 batch_cost: 0.8892 data_cost: 0.0031 ips: 71.9745 images/s
[03/19 07:04:34] ppdet.engine INFO: Epoch: [165] [200/458] learning_rate: 0.134735 loss_vfl: 1.027475 loss_bbox: 0.469938 loss_dfl: 0.431944 loss: 1.947930 eta: 14:33:24 batch_cost: 0.8109 data_cost: 0.0070 ips: 78.9259 images/s
[03/19 07:04:53] ppdet.engine INFO: Epoch: [165] [220/458] learning_rate: 0.134663 loss_vfl: 1.069078 loss_bbox: 0.467702 loss_dfl: 0.443114 loss: 2.001108 eta: 14:33:07 batch_cost: 0.8303 data_cost: 0.0033 ips: 77.0796 images/s
[03/19 07:05:16] ppdet.engine INFO: Epoch: [165] [240/458] learning_rate: 0.134590 loss_vfl: 1.066862 loss_bbox: 0.454483 loss_dfl: 0.434090 loss: 1.908566 eta: 14:32:54 batch_cost: 1.0956 data_cost: 0.0025 ips: 58.4180 images/s
[03/19 07:05:35] ppdet.engine INFO: Epoch: [165] [260/458] learning_rate: 0.134518 loss_vfl: 1.025118 loss_bbox: 0.464697 loss_dfl: 0.432049 loss: 1.927581 eta: 14:32:36 batch_cost: 0.7928 data_cost: 0.0050 ips: 80.7258 images/s
[03/19 07:05:53] ppdet.engine INFO: Epoch: [165] [280/458] learning_rate: 0.134446 loss_vfl: 0.995011 loss_bbox: 0.454473 loss_dfl: 0.426954 loss: 1.877440 eta: 14:32:18 batch_cost: 0.7511 data_cost: 0.0109 ips: 85.2053 images/s
[03/19 07:06:12] ppdet.engine INFO: Epoch: [165] [300/458] learning_rate: 0.134373 loss_vfl: 1.000501 loss_bbox: 0.444304 loss_dfl: 0.420936 loss: 1.887301 eta: 14:32:01 batch_cost: 0.8519 data_cost: 0.0055 ips: 75.1290 images/s
[03/19 07:06:32] ppdet.engine INFO: Epoch: [165] [320/458] learning_rate: 0.134301 loss_vfl: 1.013895 loss_bbox: 0.450760 loss_dfl: 0.421271 loss: 1.866998 eta: 14:31:44 batch_cost: 0.9019 data_cost: 0.0224 ips: 70.9629 images/s
[03/19 07:06:48] ppdet.engine INFO: Epoch: [165] [340/458] learning_rate: 0.134228 loss_vfl: 1.077124 loss_bbox: 0.508553 loss_dfl: 0.461036 loss: 2.053663 eta: 14:31:25 batch_cost: 0.7150 data_cost: 0.0038 ips: 89.5147 images/s
[03/19 07:07:05] ppdet.engine INFO: Epoch: [165] [360/458] learning_rate: 0.134156 loss_vfl: 1.049958 loss_bbox: 0.469615 loss_dfl: 0.439667 loss: 1.962783 eta: 14:31:07 batch_cost: 0.7658 data_cost: 0.0861 ips: 83.5759 images/s
[03/19 07:07:21] ppdet.engine INFO: Epoch: [165] [380/458] learning_rate: 0.134084 loss_vfl: 1.062260 loss_bbox: 0.467109 loss_dfl: 0.443986 loss: 1.981743 eta: 14:30:47 batch_cost: 0.6972 data_cost: 0.2028 ips: 91.8012 images/s
[03/19 07:07:37] ppdet.engine INFO: Epoch: [165] [400/458] learning_rate: 0.134011 loss_vfl: 1.065007 loss_bbox: 0.495439 loss_dfl: 0.455888 loss: 2.001480 eta: 14:30:28 batch_cost: 0.7238 data_cost: 0.2792 ips: 88.4245 images/s
[03/19 07:07:56] ppdet.engine INFO: Epoch: [165] [420/458] learning_rate: 0.133939 loss_vfl: 1.042728 loss_bbox: 0.466514 loss_dfl: 0.433697 loss: 1.930581 eta: 14:30:10 batch_cost: 0.7967 data_cost: 0.1042 ips: 80.3286 images/s
[03/19 07:08:17] ppdet.engine INFO: Epoch: [165] [440/458] learning_rate: 0.133867 loss_vfl: 1.025885 loss_bbox: 0.475600 loss_dfl: 0.437338 loss: 1.938296 eta: 14:29:55 batch_cost: 0.9639 data_cost: 0.4099 ips: 66.3937 images/s
[03/19 07:08:38] ppdet.engine INFO: Epoch: [166] [  0/458] learning_rate: 0.133802 loss_vfl: 1.049418 loss_bbox: 0.485400 loss_dfl: 0.440491 loss: 1.973083 eta: 14:29:42 batch_cost: 1.0303 data_cost: 0.4180 ips: 62.1170 images/s
[03/19 07:09:00] ppdet.engine INFO: Epoch: [166] [ 20/458] learning_rate: 0.133729 loss_vfl: 1.035027 loss_bbox: 0.466624 loss_dfl: 0.434185 loss: 1.936823 eta: 14:29:27 batch_cost: 0.9976 data_cost: 0.0028 ips: 64.1551 images/s
[03/19 07:09:21] ppdet.engine INFO: Epoch: [166] [ 40/458] learning_rate: 0.133657 loss_vfl: 1.087876 loss_bbox: 0.484684 loss_dfl: 0.458012 loss: 2.021072 eta: 14:29:11 batch_cost: 0.9386 data_cost: 0.0029 ips: 68.1830 images/s
[03/19 07:09:37] ppdet.engine INFO: Epoch: [166] [ 60/458] learning_rate: 0.133585 loss_vfl: 1.014670 loss_bbox: 0.455078 loss_dfl: 0.428541 loss: 1.929389 eta: 14:28:52 batch_cost: 0.7312 data_cost: 0.0036 ips: 87.5303 images/s
[03/19 07:09:59] ppdet.engine INFO: Epoch: [166] [ 80/458] learning_rate: 0.133512 loss_vfl: 1.012694 loss_bbox: 0.442256 loss_dfl: 0.423054 loss: 1.866724 eta: 14:28:38 batch_cost: 0.9970 data_cost: 0.0040 ips: 64.1899 images/s
[03/19 07:10:18] ppdet.engine INFO: Epoch: [166] [100/458] learning_rate: 0.133440 loss_vfl: 1.042738 loss_bbox: 0.492769 loss_dfl: 0.444934 loss: 1.969509 eta: 14:28:21 batch_cost: 0.8335 data_cost: 0.0033 ips: 76.7814 images/s
[03/19 07:10:38] ppdet.engine INFO: Epoch: [166] [120/458] learning_rate: 0.133368 loss_vfl: 1.005809 loss_bbox: 0.439902 loss_dfl: 0.411515 loss: 1.852175 eta: 14:28:05 batch_cost: 0.9179 data_cost: 0.0019 ips: 69.7223 images/s
[03/19 07:10:56] ppdet.engine INFO: Epoch: [166] [140/458] learning_rate: 0.133295 loss_vfl: 1.041269 loss_bbox: 0.471676 loss_dfl: 0.434117 loss: 1.963195 eta: 14:27:46 batch_cost: 0.7734 data_cost: 0.0028 ips: 82.7475 images/s
[03/19 07:11:17] ppdet.engine INFO: Epoch: [166] [160/458] learning_rate: 0.133223 loss_vfl: 1.034907 loss_bbox: 0.463572 loss_dfl: 0.426375 loss: 1.914134 eta: 14:27:30 batch_cost: 0.8981 data_cost: 0.0041 ips: 71.2603 images/s
[03/19 07:11:37] ppdet.engine INFO: Epoch: [166] [180/458] learning_rate: 0.133151 loss_vfl: 1.039506 loss_bbox: 0.467903 loss_dfl: 0.431904 loss: 1.937037 eta: 14:27:15 batch_cost: 0.9466 data_cost: 0.0036 ips: 67.6132 images/s
[03/19 07:11:57] ppdet.engine INFO: Epoch: [166] [200/458] learning_rate: 0.133078 loss_vfl: 1.018538 loss_bbox: 0.459066 loss_dfl: 0.425772 loss: 1.913354 eta: 14:26:58 batch_cost: 0.8710 data_cost: 0.0023 ips: 73.4802 images/s
[03/19 07:12:16] ppdet.engine INFO: Epoch: [166] [220/458] learning_rate: 0.133006 loss_vfl: 1.083043 loss_bbox: 0.475238 loss_dfl: 0.445117 loss: 2.010420 eta: 14:26:41 batch_cost: 0.8579 data_cost: 0.0042 ips: 74.6019 images/s
[03/19 07:12:35] ppdet.engine INFO: Epoch: [166] [240/458] learning_rate: 0.132934 loss_vfl: 1.054667 loss_bbox: 0.456417 loss_dfl: 0.435458 loss: 1.947798 eta: 14:26:25 batch_cost: 0.8841 data_cost: 0.0017 ips: 72.3936 images/s
[03/19 07:12:57] ppdet.engine INFO: Epoch: [166] [260/458] learning_rate: 0.132862 loss_vfl: 1.049068 loss_bbox: 0.484584 loss_dfl: 0.451006 loss: 1.989723 eta: 14:26:10 batch_cost: 0.9828 data_cost: 0.0133 ips: 65.1189 images/s
[03/19 07:13:16] ppdet.engine INFO: Epoch: [166] [280/458] learning_rate: 0.132789 loss_vfl: 1.016316 loss_bbox: 0.451137 loss_dfl: 0.420281 loss: 1.868016 eta: 14:25:53 batch_cost: 0.8798 data_cost: 0.0074 ips: 72.7442 images/s
[03/19 07:13:34] ppdet.engine INFO: Epoch: [166] [300/458] learning_rate: 0.132717 loss_vfl: 1.067127 loss_bbox: 0.488265 loss_dfl: 0.439988 loss: 1.994388 eta: 14:25:35 batch_cost: 0.7641 data_cost: 0.0055 ips: 83.7605 images/s
[03/19 07:13:54] ppdet.engine INFO: Epoch: [166] [320/458] learning_rate: 0.132645 loss_vfl: 1.084404 loss_bbox: 0.510920 loss_dfl: 0.454124 loss: 2.067555 eta: 14:25:19 batch_cost: 0.9149 data_cost: 0.0045 ips: 69.9552 images/s
[03/19 07:14:12] ppdet.engine INFO: Epoch: [166] [340/458] learning_rate: 0.132573 loss_vfl: 1.036361 loss_bbox: 0.467055 loss_dfl: 0.424611 loss: 1.899887 eta: 14:25:01 batch_cost: 0.7716 data_cost: 0.0036 ips: 82.9468 images/s
[03/19 07:14:26] ppdet.engine INFO: Epoch: [166] [360/458] learning_rate: 0.132500 loss_vfl: 1.048493 loss_bbox: 0.471636 loss_dfl: 0.424825 loss: 1.955978 eta: 14:24:39 batch_cost: 0.5645 data_cost: 0.0031 ips: 113.3695 images/s
[03/19 07:14:42] ppdet.engine INFO: Epoch: [166] [380/458] learning_rate: 0.132428 loss_vfl: 0.965138 loss_bbox: 0.419895 loss_dfl: 0.395628 loss: 1.786424 eta: 14:24:20 batch_cost: 0.7310 data_cost: 0.1568 ips: 87.5561 images/s
[03/19 07:15:01] ppdet.engine INFO: Epoch: [166] [400/458] learning_rate: 0.132356 loss_vfl: 1.008406 loss_bbox: 0.463827 loss_dfl: 0.428136 loss: 1.902451 eta: 14:24:03 batch_cost: 0.8340 data_cost: 0.0362 ips: 76.7364 images/s
[03/19 07:15:19] ppdet.engine INFO: Epoch: [166] [420/458] learning_rate: 0.132284 loss_vfl: 1.023914 loss_bbox: 0.461869 loss_dfl: 0.425115 loss: 1.900652 eta: 14:23:46 batch_cost: 0.8321 data_cost: 0.0020 ips: 76.9115 images/s
[03/19 07:15:40] ppdet.engine INFO: Epoch: [166] [440/458] learning_rate: 0.132211 loss_vfl: 1.109859 loss_bbox: 0.499648 loss_dfl: 0.462789 loss: 2.084796 eta: 14:23:30 batch_cost: 0.9130 data_cost: 0.0063 ips: 70.1002 images/s
[03/19 07:16:00] ppdet.engine INFO: Epoch: [167] [  0/458] learning_rate: 0.132146 loss_vfl: 1.052542 loss_bbox: 0.480996 loss_dfl: 0.442101 loss: 1.991219 eta: 14:23:16 batch_cost: 0.9864 data_cost: 0.2883 ips: 64.8824 images/s
[03/19 07:16:23] ppdet.engine INFO: Epoch: [167] [ 20/458] learning_rate: 0.132074 loss_vfl: 1.061834 loss_bbox: 0.481706 loss_dfl: 0.443868 loss: 1.993725 eta: 14:23:03 batch_cost: 1.0961 data_cost: 0.0024 ips: 58.3907 images/s
[03/19 07:16:44] ppdet.engine INFO: Epoch: [167] [ 40/458] learning_rate: 0.132002 loss_vfl: 1.037189 loss_bbox: 0.462474 loss_dfl: 0.427643 loss: 1.921421 eta: 14:22:48 batch_cost: 0.9603 data_cost: 0.0017 ips: 66.6452 images/s
[03/19 07:17:02] ppdet.engine INFO: Epoch: [167] [ 60/458] learning_rate: 0.131930 loss_vfl: 0.986778 loss_bbox: 0.436866 loss_dfl: 0.411206 loss: 1.857169 eta: 14:22:31 batch_cost: 0.8494 data_cost: 0.0011 ips: 75.3455 images/s
[03/19 07:17:23] ppdet.engine INFO: Epoch: [167] [ 80/458] learning_rate: 0.131858 loss_vfl: 1.060699 loss_bbox: 0.461728 loss_dfl: 0.429996 loss: 1.930042 eta: 14:22:15 batch_cost: 0.9467 data_cost: 0.0010 ips: 67.6027 images/s
[03/19 07:17:45] ppdet.engine INFO: Epoch: [167] [100/458] learning_rate: 0.131786 loss_vfl: 1.058219 loss_bbox: 0.469674 loss_dfl: 0.431144 loss: 1.946557 eta: 14:22:01 batch_cost: 1.0333 data_cost: 0.0025 ips: 61.9400 images/s
[03/19 07:18:06] ppdet.engine INFO: Epoch: [167] [120/458] learning_rate: 0.131713 loss_vfl: 1.003658 loss_bbox: 0.455853 loss_dfl: 0.416669 loss: 1.881878 eta: 14:21:46 batch_cost: 0.9529 data_cost: 0.0037 ips: 67.1627 images/s
[03/19 07:18:26] ppdet.engine INFO: Epoch: [167] [140/458] learning_rate: 0.131641 loss_vfl: 1.016226 loss_bbox: 0.469821 loss_dfl: 0.431234 loss: 1.938450 eta: 14:21:30 batch_cost: 0.9162 data_cost: 0.0017 ips: 69.8536 images/s
[03/19 07:18:47] ppdet.engine INFO: Epoch: [167] [160/458] learning_rate: 0.131569 loss_vfl: 1.102133 loss_bbox: 0.492757 loss_dfl: 0.473765 loss: 2.058402 eta: 14:21:15 batch_cost: 0.9778 data_cost: 0.0019 ips: 65.4513 images/s
[03/19 07:19:08] ppdet.engine INFO: Epoch: [167] [180/458] learning_rate: 0.131497 loss_vfl: 1.022066 loss_bbox: 0.463160 loss_dfl: 0.436106 loss: 1.929390 eta: 14:20:59 batch_cost: 0.9390 data_cost: 0.0030 ips: 68.1606 images/s
[03/19 07:19:28] ppdet.engine INFO: Epoch: [167] [200/458] learning_rate: 0.131425 loss_vfl: 1.061245 loss_bbox: 0.452462 loss_dfl: 0.426428 loss: 1.951335 eta: 14:20:43 batch_cost: 0.8759 data_cost: 0.0017 ips: 73.0681 images/s
[03/19 07:19:47] ppdet.engine INFO: Epoch: [167] [220/458] learning_rate: 0.131353 loss_vfl: 0.998651 loss_bbox: 0.429502 loss_dfl: 0.410200 loss: 1.836701 eta: 14:20:27 batch_cost: 0.9037 data_cost: 0.0030 ips: 70.8226 images/s
[03/19 07:20:07] ppdet.engine INFO: Epoch: [167] [240/458] learning_rate: 0.131280 loss_vfl: 0.987239 loss_bbox: 0.446921 loss_dfl: 0.409954 loss: 1.845238 eta: 14:20:10 batch_cost: 0.9011 data_cost: 0.0033 ips: 71.0212 images/s
[03/19 07:20:29] ppdet.engine INFO: Epoch: [167] [260/458] learning_rate: 0.131208 loss_vfl: 1.029180 loss_bbox: 0.479007 loss_dfl: 0.435150 loss: 1.925862 eta: 14:19:56 batch_cost: 1.0201 data_cost: 0.0020 ips: 62.7391 images/s
[03/19 07:20:47] ppdet.engine INFO: Epoch: [167] [280/458] learning_rate: 0.131136 loss_vfl: 1.025532 loss_bbox: 0.486891 loss_dfl: 0.427334 loss: 1.930892 eta: 14:19:39 batch_cost: 0.8242 data_cost: 0.0028 ips: 77.6511 images/s
[03/19 07:21:10] ppdet.engine INFO: Epoch: [167] [300/458] learning_rate: 0.131064 loss_vfl: 1.109565 loss_bbox: 0.492304 loss_dfl: 0.462243 loss: 2.054149 eta: 14:19:24 batch_cost: 1.0189 data_cost: 0.0020 ips: 62.8127 images/s
[03/19 07:21:29] ppdet.engine INFO: Epoch: [167] [320/458] learning_rate: 0.130992 loss_vfl: 1.058093 loss_bbox: 0.464380 loss_dfl: 0.436034 loss: 1.959660 eta: 14:19:08 batch_cost: 0.8919 data_cost: 0.0043 ips: 71.7553 images/s
[03/19 07:21:42] ppdet.engine INFO: Epoch: [167] [340/458] learning_rate: 0.130920 loss_vfl: 1.105600 loss_bbox: 0.485420 loss_dfl: 0.442506 loss: 1.986003 eta: 14:18:47 batch_cost: 0.5786 data_cost: 0.0026 ips: 110.6035 images/s
[03/19 07:22:02] ppdet.engine INFO: Epoch: [167] [360/458] learning_rate: 0.130848 loss_vfl: 1.047201 loss_bbox: 0.461531 loss_dfl: 0.431229 loss: 1.943713 eta: 14:18:31 batch_cost: 0.9348 data_cost: 0.0017 ips: 68.4624 images/s
[03/19 07:22:21] ppdet.engine INFO: Epoch: [167] [380/458] learning_rate: 0.130776 loss_vfl: 1.050909 loss_bbox: 0.476091 loss_dfl: 0.444083 loss: 1.965657 eta: 14:18:14 batch_cost: 0.8830 data_cost: 0.0053 ips: 72.4829 images/s
[03/19 07:22:41] ppdet.engine INFO: Epoch: [167] [400/458] learning_rate: 0.130704 loss_vfl: 1.028301 loss_bbox: 0.456834 loss_dfl: 0.433450 loss: 1.945075 eta: 14:17:58 batch_cost: 0.9202 data_cost: 0.0018 ips: 69.5468 images/s
[03/19 07:23:02] ppdet.engine INFO: Epoch: [167] [420/458] learning_rate: 0.130631 loss_vfl: 1.100677 loss_bbox: 0.498662 loss_dfl: 0.460354 loss: 2.047407 eta: 14:17:43 batch_cost: 0.9623 data_cost: 0.0019 ips: 66.5074 images/s
[03/19 07:23:24] ppdet.engine INFO: Epoch: [167] [440/458] learning_rate: 0.130559 loss_vfl: 1.027556 loss_bbox: 0.474555 loss_dfl: 0.428558 loss: 1.931287 eta: 14:17:28 batch_cost: 0.9788 data_cost: 0.0032 ips: 65.3844 images/s
[03/19 07:23:43] ppdet.engine INFO: Epoch: [168] [  0/458] learning_rate: 0.130495 loss_vfl: 0.997696 loss_bbox: 0.452110 loss_dfl: 0.424081 loss: 1.858249 eta: 14:17:14 batch_cost: 1.0026 data_cost: 0.2318 ips: 63.8371 images/s
[03/19 07:24:03] ppdet.engine INFO: Epoch: [168] [ 20/458] learning_rate: 0.130422 loss_vfl: 1.015858 loss_bbox: 0.448176 loss_dfl: 0.415295 loss: 1.873391 eta: 14:16:57 batch_cost: 0.8757 data_cost: 0.0033 ips: 73.0865 images/s
[03/19 07:24:23] ppdet.engine INFO: Epoch: [168] [ 40/458] learning_rate: 0.130350 loss_vfl: 1.001658 loss_bbox: 0.430612 loss_dfl: 0.408527 loss: 1.860335 eta: 14:16:42 batch_cost: 0.9332 data_cost: 0.0033 ips: 68.5845 images/s
[03/19 07:24:44] ppdet.engine INFO: Epoch: [168] [ 60/458] learning_rate: 0.130278 loss_vfl: 1.072070 loss_bbox: 0.490302 loss_dfl: 0.446817 loss: 1.997601 eta: 14:16:25 batch_cost: 0.8959 data_cost: 0.0065 ips: 71.4375 images/s
[03/19 07:25:04] ppdet.engine INFO: Epoch: [168] [ 80/458] learning_rate: 0.130206 loss_vfl: 1.022061 loss_bbox: 0.439212 loss_dfl: 0.409010 loss: 1.881259 eta: 14:16:09 batch_cost: 0.9016 data_cost: 0.0018 ips: 70.9814 images/s
[03/19 07:25:25] ppdet.engine INFO: Epoch: [168] [100/458] learning_rate: 0.130134 loss_vfl: 1.019894 loss_bbox: 0.466056 loss_dfl: 0.422922 loss: 1.893757 eta: 14:15:54 batch_cost: 0.9391 data_cost: 0.0016 ips: 68.1519 images/s
[03/19 07:25:43] ppdet.engine INFO: Epoch: [168] [120/458] learning_rate: 0.130062 loss_vfl: 1.051895 loss_bbox: 0.485807 loss_dfl: 0.445880 loss: 1.976297 eta: 14:15:36 batch_cost: 0.7996 data_cost: 0.0056 ips: 80.0428 images/s
[03/19 07:26:02] ppdet.engine INFO: Epoch: [168] [140/458] learning_rate: 0.129990 loss_vfl: 1.038702 loss_bbox: 0.478553 loss_dfl: 0.436541 loss: 1.984383 eta: 14:15:19 batch_cost: 0.8485 data_cost: 0.0062 ips: 75.4253 images/s
[03/19 07:26:22] ppdet.engine INFO: Epoch: [168] [160/458] learning_rate: 0.129918 loss_vfl: 1.049458 loss_bbox: 0.474246 loss_dfl: 0.440675 loss: 1.970590 eta: 14:15:03 batch_cost: 0.9255 data_cost: 0.0032 ips: 69.1549 images/s
[03/19 07:26:42] ppdet.engine INFO: Epoch: [168] [180/458] learning_rate: 0.129846 loss_vfl: 1.051385 loss_bbox: 0.473293 loss_dfl: 0.435513 loss: 1.954991 eta: 14:14:46 batch_cost: 0.8899 data_cost: 0.0022 ips: 71.9177 images/s
[03/19 07:27:01] ppdet.engine INFO: Epoch: [168] [200/458] learning_rate: 0.129774 loss_vfl: 1.024769 loss_bbox: 0.459786 loss_dfl: 0.446846 loss: 1.929193 eta: 14:14:30 batch_cost: 0.8694 data_cost: 0.0012 ips: 73.6174 images/s
[03/19 07:27:20] ppdet.engine INFO: Epoch: [168] [220/458] learning_rate: 0.129702 loss_vfl: 1.018137 loss_bbox: 0.466866 loss_dfl: 0.421102 loss: 1.894171 eta: 14:14:13 batch_cost: 0.8797 data_cost: 0.0023 ips: 72.7522 images/s
[03/19 07:27:42] ppdet.engine INFO: Epoch: [168] [240/458] learning_rate: 0.129630 loss_vfl: 1.058304 loss_bbox: 0.478641 loss_dfl: 0.435809 loss: 1.984895 eta: 14:13:59 batch_cost: 1.0107 data_cost: 0.0006 ips: 63.3240 images/s
[03/19 07:28:00] ppdet.engine INFO: Epoch: [168] [260/458] learning_rate: 0.129558 loss_vfl: 1.076222 loss_bbox: 0.480132 loss_dfl: 0.439741 loss: 1.957695 eta: 14:13:41 batch_cost: 0.8118 data_cost: 0.0068 ips: 78.8347 images/s
[03/19 07:28:20] ppdet.engine INFO: Epoch: [168] [280/458] learning_rate: 0.129486 loss_vfl: 1.018654 loss_bbox: 0.447449 loss_dfl: 0.423354 loss: 1.925685 eta: 14:13:24 batch_cost: 0.8427 data_cost: 0.0022 ips: 75.9422 images/s
[03/19 07:28:36] ppdet.engine INFO: Epoch: [168] [300/458] learning_rate: 0.129414 loss_vfl: 0.990333 loss_bbox: 0.452747 loss_dfl: 0.409061 loss: 1.860837 eta: 14:13:05 batch_cost: 0.7319 data_cost: 0.0023 ips: 87.4414 images/s
[03/19 07:28:50] ppdet.engine INFO: Epoch: [168] [320/458] learning_rate: 0.129342 loss_vfl: 1.063416 loss_bbox: 0.465493 loss_dfl: 0.434148 loss: 1.959144 eta: 14:12:44 batch_cost: 0.6181 data_cost: 0.1185 ips: 103.5490 images/s
[03/19 07:29:04] ppdet.engine INFO: Epoch: [168] [340/458] learning_rate: 0.129270 loss_vfl: 1.031757 loss_bbox: 0.473238 loss_dfl: 0.431427 loss: 1.936177 eta: 14:12:24 batch_cost: 0.6123 data_cost: 0.0885 ips: 104.5197 images/s
[03/19 07:29:25] ppdet.engine INFO: Epoch: [168] [360/458] learning_rate: 0.129198 loss_vfl: 1.010399 loss_bbox: 0.445347 loss_dfl: 0.426749 loss: 1.894789 eta: 14:12:08 batch_cost: 0.9453 data_cost: 0.0257 ips: 67.7057 images/s
[03/19 07:29:46] ppdet.engine INFO: Epoch: [168] [380/458] learning_rate: 0.129126 loss_vfl: 1.019567 loss_bbox: 0.462941 loss_dfl: 0.426404 loss: 1.910676 eta: 14:11:53 batch_cost: 0.9688 data_cost: 0.0052 ips: 66.0639 images/s
[03/19 07:30:05] ppdet.engine INFO: Epoch: [168] [400/458] learning_rate: 0.129054 loss_vfl: 1.068125 loss_bbox: 0.482588 loss_dfl: 0.440755 loss: 1.998537 eta: 14:11:35 batch_cost: 0.8216 data_cost: 0.0014 ips: 77.8930 images/s
[03/19 07:30:24] ppdet.engine INFO: Epoch: [168] [420/458] learning_rate: 0.128982 loss_vfl: 1.088359 loss_bbox: 0.482734 loss_dfl: 0.449624 loss: 2.017852 eta: 14:11:18 batch_cost: 0.8220 data_cost: 0.0022 ips: 77.8625 images/s
[03/19 07:30:43] ppdet.engine INFO: Epoch: [168] [440/458] learning_rate: 0.128911 loss_vfl: 1.058577 loss_bbox: 0.461862 loss_dfl: 0.434645 loss: 1.969414 eta: 14:11:02 batch_cost: 0.8983 data_cost: 0.0013 ips: 71.2484 images/s
[03/19 07:31:04] ppdet.engine INFO: Epoch: [169] [  0/458] learning_rate: 0.128846 loss_vfl: 1.046000 loss_bbox: 0.456603 loss_dfl: 0.430082 loss: 1.917230 eta: 14:10:49 batch_cost: 1.0682 data_cost: 0.3415 ips: 59.9116 images/s
[03/19 07:31:25] ppdet.engine INFO: Epoch: [169] [ 20/458] learning_rate: 0.128774 loss_vfl: 1.016898 loss_bbox: 0.434187 loss_dfl: 0.409574 loss: 1.862242 eta: 14:10:33 batch_cost: 0.9264 data_cost: 0.0025 ips: 69.0823 images/s
[03/19 07:31:46] ppdet.engine INFO: Epoch: [169] [ 40/458] learning_rate: 0.128702 loss_vfl: 1.040826 loss_bbox: 0.452097 loss_dfl: 0.431430 loss: 1.913492 eta: 14:10:17 batch_cost: 0.9431 data_cost: 0.0024 ips: 67.8593 images/s
[03/19 07:32:05] ppdet.engine INFO: Epoch: [169] [ 60/458] learning_rate: 0.128630 loss_vfl: 1.024308 loss_bbox: 0.472039 loss_dfl: 0.425914 loss: 1.923681 eta: 14:10:00 batch_cost: 0.8343 data_cost: 0.0024 ips: 76.7107 images/s
[03/19 07:32:25] ppdet.engine INFO: Epoch: [169] [ 80/458] learning_rate: 0.128558 loss_vfl: 1.028647 loss_bbox: 0.464655 loss_dfl: 0.426912 loss: 1.917412 eta: 14:09:44 batch_cost: 0.9287 data_cost: 0.0018 ips: 68.9102 images/s
[03/19 07:32:45] ppdet.engine INFO: Epoch: [169] [100/458] learning_rate: 0.128486 loss_vfl: 1.043688 loss_bbox: 0.488066 loss_dfl: 0.439337 loss: 1.962954 eta: 14:09:29 batch_cost: 0.9428 data_cost: 0.0022 ips: 67.8808 images/s
[03/19 07:33:06] ppdet.engine INFO: Epoch: [169] [120/458] learning_rate: 0.128414 loss_vfl: 0.986738 loss_bbox: 0.412319 loss_dfl: 0.411450 loss: 1.807381 eta: 14:09:14 batch_cost: 1.0095 data_cost: 0.0003 ips: 63.3955 images/s
[03/19 07:33:27] ppdet.engine INFO: Epoch: [169] [140/458] learning_rate: 0.128342 loss_vfl: 1.015338 loss_bbox: 0.467468 loss_dfl: 0.433789 loss: 1.914679 eta: 14:08:59 batch_cost: 0.9537 data_cost: 0.0008 ips: 67.1062 images/s
[03/19 07:33:47] ppdet.engine INFO: Epoch: [169] [160/458] learning_rate: 0.128271 loss_vfl: 1.116885 loss_bbox: 0.518848 loss_dfl: 0.476004 loss: 2.119451 eta: 14:08:42 batch_cost: 0.8999 data_cost: 0.0013 ips: 71.1172 images/s
[03/19 07:34:04] ppdet.engine INFO: Epoch: [169] [180/458] learning_rate: 0.128199 loss_vfl: 1.069093 loss_bbox: 0.474469 loss_dfl: 0.441868 loss: 2.015425 eta: 14:08:24 batch_cost: 0.7355 data_cost: 0.0026 ips: 87.0123 images/s
[03/19 07:34:24] ppdet.engine INFO: Epoch: [169] [200/458] learning_rate: 0.128127 loss_vfl: 1.086129 loss_bbox: 0.471267 loss_dfl: 0.445575 loss: 1.982488 eta: 14:08:07 batch_cost: 0.8828 data_cost: 0.0073 ips: 72.4956 images/s
[03/19 07:34:44] ppdet.engine INFO: Epoch: [169] [220/458] learning_rate: 0.128055 loss_vfl: 1.037691 loss_bbox: 0.474362 loss_dfl: 0.435062 loss: 1.940901 eta: 14:07:51 batch_cost: 0.9280 data_cost: 0.0020 ips: 68.9689 images/s
[03/19 07:35:06] ppdet.engine INFO: Epoch: [169] [240/458] learning_rate: 0.127983 loss_vfl: 1.022814 loss_bbox: 0.457146 loss_dfl: 0.436074 loss: 1.917351 eta: 14:07:36 batch_cost: 0.9944 data_cost: 0.0030 ips: 64.3636 images/s
[03/19 07:35:26] ppdet.engine INFO: Epoch: [169] [260/458] learning_rate: 0.127911 loss_vfl: 1.031020 loss_bbox: 0.469054 loss_dfl: 0.422477 loss: 1.931963 eta: 14:07:21 batch_cost: 0.9502 data_cost: 0.0011 ips: 67.3535 images/s
[03/19 07:35:45] ppdet.engine INFO: Epoch: [169] [280/458] learning_rate: 0.127840 loss_vfl: 1.074664 loss_bbox: 0.477010 loss_dfl: 0.446199 loss: 2.005209 eta: 14:07:04 batch_cost: 0.8444 data_cost: 0.0015 ips: 75.7973 images/s
[03/19 07:36:00] ppdet.engine INFO: Epoch: [169] [300/458] learning_rate: 0.127768 loss_vfl: 1.097919 loss_bbox: 0.476485 loss_dfl: 0.459847 loss: 2.059606 eta: 14:06:44 batch_cost: 0.6687 data_cost: 0.0071 ips: 95.7136 images/s
[03/19 07:36:16] ppdet.engine INFO: Epoch: [169] [320/458] learning_rate: 0.127696 loss_vfl: 1.026951 loss_bbox: 0.467292 loss_dfl: 0.421557 loss: 1.925278 eta: 14:06:25 batch_cost: 0.7431 data_cost: 0.0032 ips: 86.1242 images/s
[03/19 07:36:36] ppdet.engine INFO: Epoch: [169] [340/458] learning_rate: 0.127624 loss_vfl: 1.022788 loss_bbox: 0.444797 loss_dfl: 0.421695 loss: 1.882178 eta: 14:06:09 batch_cost: 0.8931 data_cost: 0.0086 ips: 71.6614 images/s
[03/19 07:36:54] ppdet.engine INFO: Epoch: [169] [360/458] learning_rate: 0.127552 loss_vfl: 1.016096 loss_bbox: 0.462040 loss_dfl: 0.426255 loss: 1.903336 eta: 14:05:52 batch_cost: 0.8275 data_cost: 0.0029 ips: 77.3408 images/s
[03/19 07:37:12] ppdet.engine INFO: Epoch: [169] [380/458] learning_rate: 0.127480 loss_vfl: 1.050991 loss_bbox: 0.476209 loss_dfl: 0.429312 loss: 1.962218 eta: 14:05:34 batch_cost: 0.8045 data_cost: 0.0059 ips: 79.5518 images/s
[03/19 07:37:32] ppdet.engine INFO: Epoch: [169] [400/458] learning_rate: 0.127409 loss_vfl: 1.024840 loss_bbox: 0.480289 loss_dfl: 0.441684 loss: 1.948264 eta: 14:05:18 batch_cost: 0.9331 data_cost: 0.0016 ips: 68.5892 images/s
[03/19 07:37:52] ppdet.engine INFO: Epoch: [169] [420/458] learning_rate: 0.127337 loss_vfl: 1.062953 loss_bbox: 0.465882 loss_dfl: 0.445719 loss: 1.999314 eta: 14:05:02 batch_cost: 0.9049 data_cost: 0.0029 ips: 70.7288 images/s
[03/19 07:38:11] ppdet.engine INFO: Epoch: [169] [440/458] learning_rate: 0.127265 loss_vfl: 1.056415 loss_bbox: 0.483536 loss_dfl: 0.440868 loss: 1.968944 eta: 14:04:45 batch_cost: 0.8883 data_cost: 0.0019 ips: 72.0448 images/s
[03/19 07:38:25] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 07:38:25] ppdet.engine INFO: Eval iter: 0
[03/19 07:38:42] ppdet.engine INFO: Eval iter: 100
[03/19 07:38:52] ppdet.engine INFO: Eval iter: 200
[03/19 07:39:01] ppdet.engine INFO: Eval iter: 300
[03/19 07:39:10] ppdet.engine INFO: Eval iter: 400
[03/19 07:39:19] ppdet.engine INFO: Eval iter: 500
[03/19 07:39:28] ppdet.engine INFO: Eval iter: 600
[03/19 07:39:42] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.93s)
creating index...
index created!
[03/19 07:39:43] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.34s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.76s).
Accumulating evaluation results...
DONE (t=17.61s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.215
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.329
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.224
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.057
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.207
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.387
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.229
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.366
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.388
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.109
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.422
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.659
[03/19 07:41:25] ppdet.engine INFO: Total sample number: 4952, averge FPS: 76.14939971275922
[03/19 07:41:25] ppdet.engine INFO: Best test bbox ap is 0.215.
[03/19 07:41:25] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 07:41:25] ppdet.engine INFO: Epoch: [170] [  0/458] learning_rate: 0.127200 loss_vfl: 1.078467 loss_bbox: 0.485698 loss_dfl: 0.451911 loss: 2.032305 eta: 14:04:27 batch_cost: 0.6513 data_cost: 0.0009 ips: 98.2594 images/s
[03/19 07:41:41] ppdet.engine INFO: Epoch: [170] [ 20/458] learning_rate: 0.127129 loss_vfl: 1.073576 loss_bbox: 0.484937 loss_dfl: 0.445441 loss: 1.997938 eta: 14:04:08 batch_cost: 0.6954 data_cost: 0.0060 ips: 92.0350 images/s
[03/19 07:42:02] ppdet.engine INFO: Epoch: [170] [ 40/458] learning_rate: 0.127057 loss_vfl: 1.038271 loss_bbox: 0.455069 loss_dfl: 0.428852 loss: 1.941801 eta: 14:03:53 batch_cost: 0.9775 data_cost: 0.0021 ips: 65.4737 images/s
[03/19 07:42:22] ppdet.engine INFO: Epoch: [170] [ 60/458] learning_rate: 0.126985 loss_vfl: 1.031679 loss_bbox: 0.481998 loss_dfl: 0.424311 loss: 1.914886 eta: 14:03:36 batch_cost: 0.8886 data_cost: 0.0011 ips: 72.0232 images/s
[03/19 07:42:38] ppdet.engine INFO: Epoch: [170] [ 80/458] learning_rate: 0.126913 loss_vfl: 1.064181 loss_bbox: 0.472189 loss_dfl: 0.448426 loss: 1.989074 eta: 14:03:17 batch_cost: 0.7385 data_cost: 0.0042 ips: 86.6605 images/s
[03/19 07:42:55] ppdet.engine INFO: Epoch: [170] [100/458] learning_rate: 0.126842 loss_vfl: 1.006845 loss_bbox: 0.457639 loss_dfl: 0.413894 loss: 1.859609 eta: 14:02:59 batch_cost: 0.7313 data_cost: 0.0021 ips: 87.5198 images/s
[03/19 07:43:09] ppdet.engine INFO: Epoch: [170] [120/458] learning_rate: 0.126770 loss_vfl: 1.042746 loss_bbox: 0.462269 loss_dfl: 0.421189 loss: 1.925174 eta: 14:02:38 batch_cost: 0.6390 data_cost: 0.0029 ips: 100.1638 images/s
[03/19 07:43:28] ppdet.engine INFO: Epoch: [170] [140/458] learning_rate: 0.126698 loss_vfl: 1.088771 loss_bbox: 0.484248 loss_dfl: 0.450965 loss: 2.036979 eta: 14:02:21 batch_cost: 0.8520 data_cost: 0.0008 ips: 75.1174 images/s
[03/19 07:43:49] ppdet.engine INFO: Epoch: [170] [160/458] learning_rate: 0.126627 loss_vfl: 1.033203 loss_bbox: 0.469247 loss_dfl: 0.422753 loss: 1.935741 eta: 14:02:07 batch_cost: 1.0002 data_cost: 0.0006 ips: 63.9852 images/s
[03/19 07:44:12] ppdet.engine INFO: Epoch: [170] [180/458] learning_rate: 0.126555 loss_vfl: 1.085678 loss_bbox: 0.469491 loss_dfl: 0.449762 loss: 1.990132 eta: 14:01:52 batch_cost: 1.0294 data_cost: 0.0020 ips: 62.1716 images/s
[03/19 07:44:31] ppdet.engine INFO: Epoch: [170] [200/458] learning_rate: 0.126483 loss_vfl: 1.036152 loss_bbox: 0.446167 loss_dfl: 0.420482 loss: 1.897260 eta: 14:01:35 batch_cost: 0.8331 data_cost: 0.0008 ips: 76.8257 images/s
[03/19 07:44:48] ppdet.engine INFO: Epoch: [170] [220/458] learning_rate: 0.126411 loss_vfl: 1.047402 loss_bbox: 0.478167 loss_dfl: 0.435661 loss: 1.946911 eta: 14:01:17 batch_cost: 0.8019 data_cost: 0.0038 ips: 79.8125 images/s
[03/19 07:45:08] ppdet.engine INFO: Epoch: [170] [240/458] learning_rate: 0.126340 loss_vfl: 1.040258 loss_bbox: 0.459670 loss_dfl: 0.432588 loss: 1.929832 eta: 14:01:01 batch_cost: 0.8667 data_cost: 0.0036 ips: 73.8406 images/s
[03/19 07:45:30] ppdet.engine INFO: Epoch: [170] [260/458] learning_rate: 0.126268 loss_vfl: 1.075732 loss_bbox: 0.461565 loss_dfl: 0.434089 loss: 1.953966 eta: 14:00:46 batch_cost: 1.0174 data_cost: 0.0035 ips: 62.9029 images/s
[03/19 07:45:48] ppdet.engine INFO: Epoch: [170] [280/458] learning_rate: 0.126196 loss_vfl: 1.079439 loss_bbox: 0.502981 loss_dfl: 0.449652 loss: 2.006773 eta: 14:00:28 batch_cost: 0.7863 data_cost: 0.0017 ips: 81.3928 images/s
[03/19 07:46:09] ppdet.engine INFO: Epoch: [170] [300/458] learning_rate: 0.126125 loss_vfl: 1.057601 loss_bbox: 0.486960 loss_dfl: 0.451519 loss: 1.977710 eta: 14:00:13 batch_cost: 0.9556 data_cost: 0.0047 ips: 66.9740 images/s
[03/19 07:46:32] ppdet.engine INFO: Epoch: [170] [320/458] learning_rate: 0.126053 loss_vfl: 1.059095 loss_bbox: 0.474519 loss_dfl: 0.443683 loss: 1.986659 eta: 13:59:59 batch_cost: 1.0540 data_cost: 0.0011 ips: 60.7221 images/s
[03/19 07:46:49] ppdet.engine INFO: Epoch: [170] [340/458] learning_rate: 0.125981 loss_vfl: 1.071194 loss_bbox: 0.472827 loss_dfl: 0.433144 loss: 1.958516 eta: 13:59:41 batch_cost: 0.8253 data_cost: 0.0005 ips: 77.5489 images/s
[03/19 07:47:10] ppdet.engine INFO: Epoch: [170] [360/458] learning_rate: 0.125910 loss_vfl: 1.068305 loss_bbox: 0.482004 loss_dfl: 0.447230 loss: 1.979705 eta: 13:59:25 batch_cost: 0.9262 data_cost: 0.0018 ips: 69.0999 images/s
[03/19 07:47:28] ppdet.engine INFO: Epoch: [170] [380/458] learning_rate: 0.125838 loss_vfl: 1.025648 loss_bbox: 0.458206 loss_dfl: 0.426683 loss: 1.907991 eta: 13:59:08 batch_cost: 0.8435 data_cost: 0.0031 ips: 75.8719 images/s
[03/19 07:47:49] ppdet.engine INFO: Epoch: [170] [400/458] learning_rate: 0.125766 loss_vfl: 1.019563 loss_bbox: 0.453385 loss_dfl: 0.420819 loss: 1.893209 eta: 13:58:53 batch_cost: 0.9426 data_cost: 0.0028 ips: 67.8937 images/s
[03/19 07:48:10] ppdet.engine INFO: Epoch: [170] [420/458] learning_rate: 0.125695 loss_vfl: 1.046620 loss_bbox: 0.474944 loss_dfl: 0.453126 loss: 1.999857 eta: 13:58:37 batch_cost: 0.9249 data_cost: 0.0017 ips: 69.1973 images/s
[03/19 07:48:31] ppdet.engine INFO: Epoch: [170] [440/458] learning_rate: 0.125623 loss_vfl: 1.020916 loss_bbox: 0.462678 loss_dfl: 0.424227 loss: 1.922313 eta: 13:58:22 batch_cost: 1.0259 data_cost: 0.0028 ips: 62.3847 images/s
[03/19 07:48:51] ppdet.engine INFO: Epoch: [171] [  0/458] learning_rate: 0.125559 loss_vfl: 1.040390 loss_bbox: 0.465235 loss_dfl: 0.433405 loss: 1.946095 eta: 13:58:09 batch_cost: 1.0980 data_cost: 0.4130 ips: 58.2895 images/s
[03/19 07:49:10] ppdet.engine INFO: Epoch: [171] [ 20/458] learning_rate: 0.125487 loss_vfl: 1.046072 loss_bbox: 0.478485 loss_dfl: 0.425843 loss: 1.927080 eta: 13:57:51 batch_cost: 0.8230 data_cost: 0.0025 ips: 77.7602 images/s
[03/19 07:49:30] ppdet.engine INFO: Epoch: [171] [ 40/458] learning_rate: 0.125416 loss_vfl: 1.024241 loss_bbox: 0.454404 loss_dfl: 0.420071 loss: 1.899585 eta: 13:57:35 batch_cost: 0.8621 data_cost: 0.0007 ips: 74.2364 images/s
[03/19 07:49:47] ppdet.engine INFO: Epoch: [171] [ 60/458] learning_rate: 0.125344 loss_vfl: 1.032910 loss_bbox: 0.463385 loss_dfl: 0.430968 loss: 1.930958 eta: 13:57:17 batch_cost: 0.7869 data_cost: 0.0003 ips: 81.3337 images/s
[03/19 07:49:58] ppdet.engine INFO: Epoch: [171] [ 80/458] learning_rate: 0.125272 loss_vfl: 1.046860 loss_bbox: 0.455673 loss_dfl: 0.429682 loss: 1.907213 eta: 13:56:54 batch_cost: 0.4864 data_cost: 0.0030 ips: 131.5657 images/s
[03/19 07:50:14] ppdet.engine INFO: Epoch: [171] [100/458] learning_rate: 0.125201 loss_vfl: 1.034546 loss_bbox: 0.493014 loss_dfl: 0.441597 loss: 1.974407 eta: 13:56:35 batch_cost: 0.7006 data_cost: 0.1544 ips: 91.3558 images/s
[03/19 07:50:32] ppdet.engine INFO: Epoch: [171] [120/458] learning_rate: 0.125129 loss_vfl: 1.074185 loss_bbox: 0.484295 loss_dfl: 0.435711 loss: 1.987229 eta: 13:56:17 batch_cost: 0.7908 data_cost: 0.2701 ips: 80.9292 images/s
[03/19 07:50:52] ppdet.engine INFO: Epoch: [171] [140/458] learning_rate: 0.125058 loss_vfl: 1.050238 loss_bbox: 0.472540 loss_dfl: 0.438644 loss: 1.940923 eta: 13:56:00 batch_cost: 0.8892 data_cost: 0.1065 ips: 71.9721 images/s
[03/19 07:51:10] ppdet.engine INFO: Epoch: [171] [160/458] learning_rate: 0.124986 loss_vfl: 1.096152 loss_bbox: 0.481624 loss_dfl: 0.442423 loss: 2.005886 eta: 13:55:43 batch_cost: 0.8067 data_cost: 0.0533 ips: 79.3307 images/s
[03/19 07:51:29] ppdet.engine INFO: Epoch: [171] [180/458] learning_rate: 0.124915 loss_vfl: 1.014084 loss_bbox: 0.455550 loss_dfl: 0.426252 loss: 1.862051 eta: 13:55:25 batch_cost: 0.8180 data_cost: 0.0033 ips: 78.2443 images/s
[03/19 07:51:47] ppdet.engine INFO: Epoch: [171] [200/458] learning_rate: 0.124843 loss_vfl: 1.042473 loss_bbox: 0.443998 loss_dfl: 0.418018 loss: 1.908059 eta: 13:55:08 batch_cost: 0.8242 data_cost: 0.0033 ips: 77.6522 images/s
[03/19 07:52:07] ppdet.engine INFO: Epoch: [171] [220/458] learning_rate: 0.124772 loss_vfl: 1.011777 loss_bbox: 0.443083 loss_dfl: 0.422847 loss: 1.881361 eta: 13:54:52 batch_cost: 0.9218 data_cost: 0.0091 ips: 69.4330 images/s
[03/19 07:52:29] ppdet.engine INFO: Epoch: [171] [240/458] learning_rate: 0.124700 loss_vfl: 1.027260 loss_bbox: 0.483115 loss_dfl: 0.433176 loss: 1.953805 eta: 13:54:36 batch_cost: 0.9438 data_cost: 0.0024 ips: 67.8136 images/s
[03/19 07:52:50] ppdet.engine INFO: Epoch: [171] [260/458] learning_rate: 0.124629 loss_vfl: 1.045919 loss_bbox: 0.438919 loss_dfl: 0.425178 loss: 1.898513 eta: 13:54:21 batch_cost: 0.9611 data_cost: 0.0010 ips: 66.5900 images/s
[03/19 07:53:08] ppdet.engine INFO: Epoch: [171] [280/458] learning_rate: 0.124557 loss_vfl: 1.067412 loss_bbox: 0.489587 loss_dfl: 0.456097 loss: 2.033783 eta: 13:54:04 batch_cost: 0.8558 data_cost: 0.0011 ips: 74.7880 images/s
[03/19 07:53:28] ppdet.engine INFO: Epoch: [171] [300/458] learning_rate: 0.124486 loss_vfl: 1.011422 loss_bbox: 0.458562 loss_dfl: 0.432664 loss: 1.918211 eta: 13:53:47 batch_cost: 0.8736 data_cost: 0.0012 ips: 73.2562 images/s
[03/19 07:53:47] ppdet.engine INFO: Epoch: [171] [320/458] learning_rate: 0.124414 loss_vfl: 1.041472 loss_bbox: 0.460703 loss_dfl: 0.429494 loss: 1.959567 eta: 13:53:30 batch_cost: 0.8278 data_cost: 0.0004 ips: 77.3127 images/s
[03/19 07:54:07] ppdet.engine INFO: Epoch: [171] [340/458] learning_rate: 0.124343 loss_vfl: 1.035639 loss_bbox: 0.485201 loss_dfl: 0.434977 loss: 1.965412 eta: 13:53:14 batch_cost: 0.9091 data_cost: 0.0040 ips: 70.3985 images/s
[03/19 07:54:24] ppdet.engine INFO: Epoch: [171] [360/458] learning_rate: 0.124271 loss_vfl: 1.017590 loss_bbox: 0.461789 loss_dfl: 0.425288 loss: 1.928518 eta: 13:52:56 batch_cost: 0.8007 data_cost: 0.0090 ips: 79.9331 images/s
[03/19 07:54:48] ppdet.engine INFO: Epoch: [171] [380/458] learning_rate: 0.124200 loss_vfl: 1.019601 loss_bbox: 0.451954 loss_dfl: 0.418293 loss: 1.893338 eta: 13:52:42 batch_cost: 1.0696 data_cost: 0.0025 ips: 59.8356 images/s
[03/19 07:55:06] ppdet.engine INFO: Epoch: [171] [400/458] learning_rate: 0.124128 loss_vfl: 1.005660 loss_bbox: 0.442918 loss_dfl: 0.410365 loss: 1.855819 eta: 13:52:24 batch_cost: 0.8031 data_cost: 0.0022 ips: 79.6879 images/s
[03/19 07:55:24] ppdet.engine INFO: Epoch: [171] [420/458] learning_rate: 0.124057 loss_vfl: 1.108402 loss_bbox: 0.487228 loss_dfl: 0.451792 loss: 2.063573 eta: 13:52:07 batch_cost: 0.8039 data_cost: 0.0016 ips: 79.6099 images/s
[03/19 07:55:46] ppdet.engine INFO: Epoch: [171] [440/458] learning_rate: 0.123985 loss_vfl: 1.038821 loss_bbox: 0.450894 loss_dfl: 0.432715 loss: 1.878285 eta: 13:51:52 batch_cost: 0.9984 data_cost: 0.0048 ips: 64.1028 images/s
[03/19 07:56:06] ppdet.engine INFO: Epoch: [172] [  0/458] learning_rate: 0.123921 loss_vfl: 1.041947 loss_bbox: 0.476494 loss_dfl: 0.438331 loss: 1.952084 eta: 13:51:38 batch_cost: 1.0726 data_cost: 0.3854 ips: 59.6667 images/s
[03/19 07:56:24] ppdet.engine INFO: Epoch: [172] [ 20/458] learning_rate: 0.123849 loss_vfl: 1.047327 loss_bbox: 0.462165 loss_dfl: 0.429679 loss: 1.938758 eta: 13:51:20 batch_cost: 0.7721 data_cost: 0.0697 ips: 82.8933 images/s
[03/19 07:56:44] ppdet.engine INFO: Epoch: [172] [ 40/458] learning_rate: 0.123778 loss_vfl: 1.120611 loss_bbox: 0.506053 loss_dfl: 0.463290 loss: 2.098292 eta: 13:51:03 batch_cost: 0.8644 data_cost: 0.2609 ips: 74.0375 images/s
[03/19 07:57:04] ppdet.engine INFO: Epoch: [172] [ 60/458] learning_rate: 0.123707 loss_vfl: 1.037152 loss_bbox: 0.469769 loss_dfl: 0.432971 loss: 1.923375 eta: 13:50:47 batch_cost: 0.9141 data_cost: 0.3816 ips: 70.0180 images/s
[03/19 07:57:18] ppdet.engine INFO: Epoch: [172] [ 80/458] learning_rate: 0.123635 loss_vfl: 1.083159 loss_bbox: 0.488727 loss_dfl: 0.449922 loss: 2.019570 eta: 13:50:27 batch_cost: 0.6054 data_cost: 0.1411 ips: 105.7175 images/s
[03/19 07:57:32] ppdet.engine INFO: Epoch: [172] [100/458] learning_rate: 0.123564 loss_vfl: 1.040379 loss_bbox: 0.462477 loss_dfl: 0.438140 loss: 1.947275 eta: 13:50:06 batch_cost: 0.5861 data_cost: 0.1020 ips: 109.1933 images/s
[03/19 07:57:53] ppdet.engine INFO: Epoch: [172] [120/458] learning_rate: 0.123492 loss_vfl: 1.011360 loss_bbox: 0.471380 loss_dfl: 0.430148 loss: 1.910337 eta: 13:49:49 batch_cost: 0.8978 data_cost: 0.2391 ips: 71.2852 images/s
[03/19 07:58:13] ppdet.engine INFO: Epoch: [172] [140/458] learning_rate: 0.123421 loss_vfl: 1.022978 loss_bbox: 0.438789 loss_dfl: 0.417122 loss: 1.865192 eta: 13:49:33 batch_cost: 0.8766 data_cost: 0.0013 ips: 73.0066 images/s
[03/19 07:58:31] ppdet.engine INFO: Epoch: [172] [160/458] learning_rate: 0.123350 loss_vfl: 1.032827 loss_bbox: 0.470924 loss_dfl: 0.426286 loss: 1.921821 eta: 13:49:14 batch_cost: 0.7662 data_cost: 0.0019 ips: 83.5301 images/s
[03/19 07:58:51] ppdet.engine INFO: Epoch: [172] [180/458] learning_rate: 0.123278 loss_vfl: 1.037901 loss_bbox: 0.450380 loss_dfl: 0.425438 loss: 1.926470 eta: 13:48:58 batch_cost: 0.8764 data_cost: 0.0039 ips: 73.0302 images/s
[03/19 07:59:11] ppdet.engine INFO: Epoch: [172] [200/458] learning_rate: 0.123207 loss_vfl: 1.068864 loss_bbox: 0.463024 loss_dfl: 0.447241 loss: 1.972718 eta: 13:48:42 batch_cost: 0.9077 data_cost: 0.0004 ips: 70.5103 images/s
[03/19 07:59:30] ppdet.engine INFO: Epoch: [172] [220/458] learning_rate: 0.123136 loss_vfl: 1.042585 loss_bbox: 0.469433 loss_dfl: 0.420599 loss: 1.926391 eta: 13:48:24 batch_cost: 0.8105 data_cost: 0.0032 ips: 78.9592 images/s
[03/19 07:59:49] ppdet.engine INFO: Epoch: [172] [240/458] learning_rate: 0.123064 loss_vfl: 1.078203 loss_bbox: 0.471336 loss_dfl: 0.440981 loss: 2.014351 eta: 13:48:07 batch_cost: 0.8816 data_cost: 0.0144 ips: 72.5939 images/s
[03/19 08:00:10] ppdet.engine INFO: Epoch: [172] [260/458] learning_rate: 0.122993 loss_vfl: 1.053180 loss_bbox: 0.473570 loss_dfl: 0.434858 loss: 1.958167 eta: 13:47:52 batch_cost: 0.9269 data_cost: 0.0279 ips: 69.0499 images/s
[03/19 08:00:30] ppdet.engine INFO: Epoch: [172] [280/458] learning_rate: 0.122922 loss_vfl: 1.005312 loss_bbox: 0.440133 loss_dfl: 0.414220 loss: 1.864293 eta: 13:47:35 batch_cost: 0.8861 data_cost: 0.0065 ips: 72.2257 images/s
[03/19 08:00:47] ppdet.engine INFO: Epoch: [172] [300/458] learning_rate: 0.122850 loss_vfl: 1.036728 loss_bbox: 0.485304 loss_dfl: 0.447550 loss: 1.984640 eta: 13:47:16 batch_cost: 0.7081 data_cost: 0.0017 ips: 90.3824 images/s
[03/19 08:01:08] ppdet.engine INFO: Epoch: [172] [320/458] learning_rate: 0.122779 loss_vfl: 1.072083 loss_bbox: 0.479370 loss_dfl: 0.435040 loss: 1.993524 eta: 13:47:00 batch_cost: 0.9536 data_cost: 0.0016 ips: 67.1147 images/s
[03/19 08:01:28] ppdet.engine INFO: Epoch: [172] [340/458] learning_rate: 0.122708 loss_vfl: 1.094190 loss_bbox: 0.500110 loss_dfl: 0.471583 loss: 2.071618 eta: 13:46:44 batch_cost: 0.8743 data_cost: 0.0050 ips: 73.2046 images/s
[03/19 08:01:47] ppdet.engine INFO: Epoch: [172] [360/458] learning_rate: 0.122636 loss_vfl: 1.051329 loss_bbox: 0.469499 loss_dfl: 0.434630 loss: 1.953873 eta: 13:46:27 batch_cost: 0.8657 data_cost: 0.0040 ips: 73.9277 images/s
[03/19 08:02:09] ppdet.engine INFO: Epoch: [172] [380/458] learning_rate: 0.122565 loss_vfl: 1.052780 loss_bbox: 0.476435 loss_dfl: 0.445990 loss: 1.955650 eta: 13:46:11 batch_cost: 0.9215 data_cost: 0.0102 ips: 69.4503 images/s
[03/19 08:02:26] ppdet.engine INFO: Epoch: [172] [400/458] learning_rate: 0.122494 loss_vfl: 1.064579 loss_bbox: 0.451784 loss_dfl: 0.427772 loss: 1.953235 eta: 13:45:53 batch_cost: 0.7632 data_cost: 0.0924 ips: 83.8542 images/s
[03/19 08:02:47] ppdet.engine INFO: Epoch: [172] [420/458] learning_rate: 0.122422 loss_vfl: 1.031356 loss_bbox: 0.452546 loss_dfl: 0.420493 loss: 1.903548 eta: 13:45:36 batch_cost: 0.8564 data_cost: 0.0865 ips: 74.7348 images/s
[03/19 08:03:08] ppdet.engine INFO: Epoch: [172] [440/458] learning_rate: 0.122351 loss_vfl: 1.058614 loss_bbox: 0.465107 loss_dfl: 0.443244 loss: 1.989493 eta: 13:45:19 batch_cost: 0.8821 data_cost: 0.0097 ips: 72.5570 images/s
[03/19 08:03:30] ppdet.engine INFO: Epoch: [173] [  0/458] learning_rate: 0.122287 loss_vfl: 1.055091 loss_bbox: 0.480454 loss_dfl: 0.450360 loss: 2.012746 eta: 13:45:07 batch_cost: 1.0519 data_cost: 0.2805 ips: 60.8394 images/s
[03/19 08:03:48] ppdet.engine INFO: Epoch: [173] [ 20/458] learning_rate: 0.122216 loss_vfl: 1.068492 loss_bbox: 0.499273 loss_dfl: 0.464113 loss: 2.034445 eta: 13:44:50 batch_cost: 0.8453 data_cost: 0.0201 ips: 75.7086 images/s
[03/19 08:04:07] ppdet.engine INFO: Epoch: [173] [ 40/458] learning_rate: 0.122144 loss_vfl: 1.044858 loss_bbox: 0.452960 loss_dfl: 0.433565 loss: 1.944837 eta: 13:44:32 batch_cost: 0.8077 data_cost: 0.0336 ips: 79.2410 images/s
[03/19 08:04:23] ppdet.engine INFO: Epoch: [173] [ 60/458] learning_rate: 0.122073 loss_vfl: 1.048055 loss_bbox: 0.469897 loss_dfl: 0.428821 loss: 1.933698 eta: 13:44:13 batch_cost: 0.6929 data_cost: 0.0979 ips: 92.3706 images/s
[03/19 08:04:38] ppdet.engine INFO: Epoch: [173] [ 80/458] learning_rate: 0.122002 loss_vfl: 1.095003 loss_bbox: 0.483395 loss_dfl: 0.451269 loss: 2.030801 eta: 13:43:53 batch_cost: 0.6664 data_cost: 0.1301 ips: 96.0414 images/s
[03/19 08:04:57] ppdet.engine INFO: Epoch: [173] [100/458] learning_rate: 0.121931 loss_vfl: 1.067038 loss_bbox: 0.478831 loss_dfl: 0.447050 loss: 1.998297 eta: 13:43:36 batch_cost: 0.8508 data_cost: 0.0725 ips: 75.2200 images/s
[03/19 08:05:14] ppdet.engine INFO: Epoch: [173] [120/458] learning_rate: 0.121860 loss_vfl: 1.085788 loss_bbox: 0.486434 loss_dfl: 0.453017 loss: 2.057514 eta: 13:43:17 batch_cost: 0.7313 data_cost: 0.2072 ips: 87.5210 images/s
[03/19 08:05:34] ppdet.engine INFO: Epoch: [173] [140/458] learning_rate: 0.121788 loss_vfl: 1.081788 loss_bbox: 0.485092 loss_dfl: 0.448222 loss: 2.032227 eta: 13:43:01 batch_cost: 0.8868 data_cost: 0.1202 ips: 72.1709 images/s
[03/19 08:05:53] ppdet.engine INFO: Epoch: [173] [160/458] learning_rate: 0.121717 loss_vfl: 1.013241 loss_bbox: 0.453206 loss_dfl: 0.420642 loss: 1.857816 eta: 13:42:43 batch_cost: 0.8363 data_cost: 0.0057 ips: 76.5278 images/s
[03/19 08:06:12] ppdet.engine INFO: Epoch: [173] [180/458] learning_rate: 0.121646 loss_vfl: 1.019828 loss_bbox: 0.486673 loss_dfl: 0.430606 loss: 1.952231 eta: 13:42:26 batch_cost: 0.8099 data_cost: 0.0047 ips: 79.0268 images/s
[03/19 08:06:31] ppdet.engine INFO: Epoch: [173] [200/458] learning_rate: 0.121575 loss_vfl: 1.048872 loss_bbox: 0.464813 loss_dfl: 0.429447 loss: 1.954169 eta: 13:42:08 batch_cost: 0.8075 data_cost: 0.0003 ips: 79.2595 images/s
[03/19 08:06:52] ppdet.engine INFO: Epoch: [173] [220/458] learning_rate: 0.121504 loss_vfl: 1.065810 loss_bbox: 0.480508 loss_dfl: 0.434677 loss: 1.992433 eta: 13:41:52 batch_cost: 0.9394 data_cost: 0.0187 ips: 68.1287 images/s
[03/19 08:07:13] ppdet.engine INFO: Epoch: [173] [240/458] learning_rate: 0.121432 loss_vfl: 1.006916 loss_bbox: 0.444086 loss_dfl: 0.420802 loss: 1.877299 eta: 13:41:36 batch_cost: 0.9101 data_cost: 0.0071 ips: 70.3187 images/s
[03/19 08:07:32] ppdet.engine INFO: Epoch: [173] [260/458] learning_rate: 0.121361 loss_vfl: 1.061386 loss_bbox: 0.462952 loss_dfl: 0.434083 loss: 1.946241 eta: 13:41:19 batch_cost: 0.8511 data_cost: 0.0031 ips: 75.1972 images/s
[03/19 08:07:53] ppdet.engine INFO: Epoch: [173] [280/458] learning_rate: 0.121290 loss_vfl: 1.035330 loss_bbox: 0.460164 loss_dfl: 0.426626 loss: 1.929627 eta: 13:41:03 batch_cost: 0.9379 data_cost: 0.0035 ips: 68.2402 images/s
[03/19 08:08:12] ppdet.engine INFO: Epoch: [173] [300/458] learning_rate: 0.121219 loss_vfl: 1.005800 loss_bbox: 0.447402 loss_dfl: 0.422329 loss: 1.865007 eta: 13:40:46 batch_cost: 0.8552 data_cost: 0.0013 ips: 74.8326 images/s
[03/19 08:08:33] ppdet.engine INFO: Epoch: [173] [320/458] learning_rate: 0.121148 loss_vfl: 1.038150 loss_bbox: 0.469470 loss_dfl: 0.443476 loss: 1.962973 eta: 13:40:31 batch_cost: 0.9476 data_cost: 0.0068 ips: 67.5415 images/s
[03/19 08:08:49] ppdet.engine INFO: Epoch: [173] [340/458] learning_rate: 0.121077 loss_vfl: 1.054946 loss_bbox: 0.485308 loss_dfl: 0.437277 loss: 1.970718 eta: 13:40:12 batch_cost: 0.7170 data_cost: 0.0039 ips: 89.2573 images/s
[03/19 08:09:10] ppdet.engine INFO: Epoch: [173] [360/458] learning_rate: 0.121006 loss_vfl: 0.989394 loss_bbox: 0.466559 loss_dfl: 0.415728 loss: 1.840918 eta: 13:39:56 batch_cost: 0.9367 data_cost: 0.0590 ips: 68.3231 images/s
[03/19 08:09:31] ppdet.engine INFO: Epoch: [173] [380/458] learning_rate: 0.120934 loss_vfl: 1.054790 loss_bbox: 0.501235 loss_dfl: 0.439470 loss: 2.005288 eta: 13:39:41 batch_cost: 0.9587 data_cost: 0.0037 ips: 66.7586 images/s
[03/19 08:09:47] ppdet.engine INFO: Epoch: [173] [400/458] learning_rate: 0.120863 loss_vfl: 1.120320 loss_bbox: 0.483198 loss_dfl: 0.447215 loss: 2.069643 eta: 13:39:21 batch_cost: 0.7077 data_cost: 0.0073 ips: 90.4401 images/s
[03/19 08:10:07] ppdet.engine INFO: Epoch: [173] [420/458] learning_rate: 0.120792 loss_vfl: 1.038401 loss_bbox: 0.461837 loss_dfl: 0.426948 loss: 1.921544 eta: 13:39:05 batch_cost: 0.9011 data_cost: 0.0864 ips: 71.0266 images/s
[03/19 08:10:26] ppdet.engine INFO: Epoch: [173] [440/458] learning_rate: 0.120721 loss_vfl: 1.079045 loss_bbox: 0.479136 loss_dfl: 0.442254 loss: 1.993801 eta: 13:38:48 batch_cost: 0.8358 data_cost: 0.0065 ips: 76.5719 images/s
[03/19 08:10:49] ppdet.engine INFO: Epoch: [174] [  0/458] learning_rate: 0.120657 loss_vfl: 1.057512 loss_bbox: 0.495272 loss_dfl: 0.445564 loss: 2.007427 eta: 13:38:36 batch_cost: 1.0288 data_cost: 0.3348 ips: 62.2069 images/s
[03/19 08:11:10] ppdet.engine INFO: Epoch: [174] [ 20/458] learning_rate: 0.120586 loss_vfl: 1.012286 loss_bbox: 0.448771 loss_dfl: 0.418165 loss: 1.864348 eta: 13:38:20 batch_cost: 0.9250 data_cost: 0.0015 ips: 69.1896 images/s
[03/19 08:11:28] ppdet.engine INFO: Epoch: [174] [ 40/458] learning_rate: 0.120515 loss_vfl: 1.005873 loss_bbox: 0.461726 loss_dfl: 0.418950 loss: 1.896628 eta: 13:38:03 batch_cost: 0.8558 data_cost: 0.0021 ips: 74.7841 images/s
[03/19 08:11:44] ppdet.engine INFO: Epoch: [174] [ 60/458] learning_rate: 0.120444 loss_vfl: 0.996350 loss_bbox: 0.439735 loss_dfl: 0.407867 loss: 1.833472 eta: 13:37:43 batch_cost: 0.6441 data_cost: 0.0063 ips: 99.3588 images/s
[03/19 08:11:59] ppdet.engine INFO: Epoch: [174] [ 80/458] learning_rate: 0.120373 loss_vfl: 1.038099 loss_bbox: 0.472327 loss_dfl: 0.438026 loss: 1.930487 eta: 13:37:23 batch_cost: 0.6421 data_cost: 0.0018 ips: 99.6681 images/s
[03/19 08:12:16] ppdet.engine INFO: Epoch: [174] [100/458] learning_rate: 0.120302 loss_vfl: 0.985749 loss_bbox: 0.412578 loss_dfl: 0.393320 loss: 1.784210 eta: 13:37:04 batch_cost: 0.7675 data_cost: 0.1043 ips: 83.3867 images/s
[03/19 08:12:37] ppdet.engine INFO: Epoch: [174] [120/458] learning_rate: 0.120231 loss_vfl: 1.024729 loss_bbox: 0.449564 loss_dfl: 0.427966 loss: 1.908870 eta: 13:36:48 batch_cost: 0.9063 data_cost: 0.0019 ips: 70.6136 images/s
[03/19 08:12:56] ppdet.engine INFO: Epoch: [174] [140/458] learning_rate: 0.120160 loss_vfl: 1.003567 loss_bbox: 0.470033 loss_dfl: 0.426279 loss: 1.890273 eta: 13:36:32 batch_cost: 0.8927 data_cost: 0.0059 ips: 71.6960 images/s
[03/19 08:13:18] ppdet.engine INFO: Epoch: [174] [160/458] learning_rate: 0.120089 loss_vfl: 1.074252 loss_bbox: 0.491159 loss_dfl: 0.457411 loss: 2.028669 eta: 13:36:16 batch_cost: 0.9685 data_cost: 0.0047 ips: 66.0839 images/s
[03/19 08:13:35] ppdet.engine INFO: Epoch: [174] [180/458] learning_rate: 0.120018 loss_vfl: 1.094744 loss_bbox: 0.500901 loss_dfl: 0.461912 loss: 2.076425 eta: 13:35:58 batch_cost: 0.7803 data_cost: 0.0029 ips: 82.0188 images/s
[03/19 08:13:56] ppdet.engine INFO: Epoch: [174] [200/458] learning_rate: 0.119947 loss_vfl: 1.046034 loss_bbox: 0.483553 loss_dfl: 0.433344 loss: 1.955105 eta: 13:35:42 batch_cost: 0.9193 data_cost: 0.0109 ips: 69.6218 images/s
[03/19 08:14:13] ppdet.engine INFO: Epoch: [174] [220/458] learning_rate: 0.119876 loss_vfl: 1.015828 loss_bbox: 0.436595 loss_dfl: 0.419599 loss: 1.864030 eta: 13:35:24 batch_cost: 0.7894 data_cost: 0.0036 ips: 81.0716 images/s
[03/19 08:14:33] ppdet.engine INFO: Epoch: [174] [240/458] learning_rate: 0.119805 loss_vfl: 1.011134 loss_bbox: 0.450914 loss_dfl: 0.421272 loss: 1.891673 eta: 13:35:08 batch_cost: 0.8969 data_cost: 0.0032 ips: 71.3537 images/s
[03/19 08:14:54] ppdet.engine INFO: Epoch: [174] [260/458] learning_rate: 0.119734 loss_vfl: 1.010790 loss_bbox: 0.454870 loss_dfl: 0.426230 loss: 1.919530 eta: 13:34:52 batch_cost: 0.9493 data_cost: 0.0028 ips: 67.4159 images/s
[03/19 08:15:13] ppdet.engine INFO: Epoch: [174] [280/458] learning_rate: 0.119663 loss_vfl: 1.054195 loss_bbox: 0.463402 loss_dfl: 0.429556 loss: 1.949745 eta: 13:34:36 batch_cost: 0.8924 data_cost: 0.0029 ips: 71.7204 images/s
[03/19 08:15:34] ppdet.engine INFO: Epoch: [174] [300/458] learning_rate: 0.119592 loss_vfl: 1.048618 loss_bbox: 0.474045 loss_dfl: 0.435319 loss: 1.941737 eta: 13:34:20 batch_cost: 0.9491 data_cost: 0.0042 ips: 67.4344 images/s
[03/19 08:15:54] ppdet.engine INFO: Epoch: [174] [320/458] learning_rate: 0.119521 loss_vfl: 1.064116 loss_bbox: 0.477804 loss_dfl: 0.440434 loss: 1.955228 eta: 13:34:05 batch_cost: 0.9315 data_cost: 0.0016 ips: 68.7065 images/s
[03/19 08:16:15] ppdet.engine INFO: Epoch: [174] [340/458] learning_rate: 0.119450 loss_vfl: 1.058526 loss_bbox: 0.484426 loss_dfl: 0.445542 loss: 1.971903 eta: 13:33:49 batch_cost: 0.9439 data_cost: 0.0018 ips: 67.8006 images/s
[03/19 08:16:35] ppdet.engine INFO: Epoch: [174] [360/458] learning_rate: 0.119379 loss_vfl: 1.031578 loss_bbox: 0.484755 loss_dfl: 0.446370 loss: 1.968054 eta: 13:33:33 batch_cost: 0.9260 data_cost: 0.0029 ips: 69.1141 images/s
[03/19 08:16:56] ppdet.engine INFO: Epoch: [174] [380/458] learning_rate: 0.119308 loss_vfl: 1.059215 loss_bbox: 0.468837 loss_dfl: 0.439292 loss: 1.963102 eta: 13:33:17 batch_cost: 0.9256 data_cost: 0.0128 ips: 69.1472 images/s
[03/19 08:17:13] ppdet.engine INFO: Epoch: [174] [400/458] learning_rate: 0.119237 loss_vfl: 1.040614 loss_bbox: 0.461723 loss_dfl: 0.434644 loss: 1.935454 eta: 13:32:58 batch_cost: 0.7170 data_cost: 0.0034 ips: 89.2644 images/s
[03/19 08:17:33] ppdet.engine INFO: Epoch: [174] [420/458] learning_rate: 0.119166 loss_vfl: 1.072204 loss_bbox: 0.482101 loss_dfl: 0.442263 loss: 1.981301 eta: 13:32:42 batch_cost: 0.9286 data_cost: 0.0030 ips: 68.9214 images/s
[03/19 08:17:54] ppdet.engine INFO: Epoch: [174] [440/458] learning_rate: 0.119096 loss_vfl: 1.053132 loss_bbox: 0.460763 loss_dfl: 0.427626 loss: 1.956308 eta: 13:32:26 batch_cost: 0.9405 data_cost: 0.0029 ips: 68.0504 images/s
[03/19 08:18:16] ppdet.engine INFO: Epoch: [175] [  0/458] learning_rate: 0.119032 loss_vfl: 1.029513 loss_bbox: 0.455991 loss_dfl: 0.419635 loss: 1.903857 eta: 13:32:15 batch_cost: 1.1064 data_cost: 0.2126 ips: 57.8437 images/s
[03/19 08:18:35] ppdet.engine INFO: Epoch: [175] [ 20/458] learning_rate: 0.118961 loss_vfl: 1.024946 loss_bbox: 0.449156 loss_dfl: 0.433928 loss: 1.924028 eta: 13:31:57 batch_cost: 0.8343 data_cost: 0.0004 ips: 76.7143 images/s
[03/19 08:18:52] ppdet.engine INFO: Epoch: [175] [ 40/458] learning_rate: 0.118890 loss_vfl: 0.993642 loss_bbox: 0.451820 loss_dfl: 0.418156 loss: 1.866829 eta: 13:31:39 batch_cost: 0.7444 data_cost: 0.0042 ips: 85.9789 images/s
[03/19 08:19:06] ppdet.engine INFO: Epoch: [175] [ 60/458] learning_rate: 0.118819 loss_vfl: 1.079733 loss_bbox: 0.487300 loss_dfl: 0.460445 loss: 2.004708 eta: 13:31:19 batch_cost: 0.6207 data_cost: 0.0044 ips: 103.1084 images/s
[03/19 08:19:23] ppdet.engine INFO: Epoch: [175] [ 80/458] learning_rate: 0.118748 loss_vfl: 1.058454 loss_bbox: 0.466186 loss_dfl: 0.434715 loss: 1.993368 eta: 13:31:01 batch_cost: 0.8085 data_cost: 0.0035 ips: 79.1601 images/s
[03/19 08:19:42] ppdet.engine INFO: Epoch: [175] [100/458] learning_rate: 0.118677 loss_vfl: 1.056807 loss_bbox: 0.474879 loss_dfl: 0.444999 loss: 1.979356 eta: 13:30:44 batch_cost: 0.8630 data_cost: 0.0009 ips: 74.1596 images/s
[03/19 08:20:02] ppdet.engine INFO: Epoch: [175] [120/458] learning_rate: 0.118607 loss_vfl: 1.049107 loss_bbox: 0.495552 loss_dfl: 0.439934 loss: 1.965450 eta: 13:30:27 batch_cost: 0.8801 data_cost: 0.0043 ips: 72.7156 images/s
[03/19 08:20:22] ppdet.engine INFO: Epoch: [175] [140/458] learning_rate: 0.118536 loss_vfl: 1.009697 loss_bbox: 0.476849 loss_dfl: 0.437989 loss: 1.945435 eta: 13:30:12 batch_cost: 0.9356 data_cost: 0.0013 ips: 68.4078 images/s
[03/19 08:20:42] ppdet.engine INFO: Epoch: [175] [160/458] learning_rate: 0.118465 loss_vfl: 1.056966 loss_bbox: 0.469317 loss_dfl: 0.450583 loss: 1.964466 eta: 13:29:55 batch_cost: 0.8726 data_cost: 0.0027 ips: 73.3482 images/s
[03/19 08:21:04] ppdet.engine INFO: Epoch: [175] [180/458] learning_rate: 0.118394 loss_vfl: 1.043943 loss_bbox: 0.454728 loss_dfl: 0.438923 loss: 1.935677 eta: 13:29:41 batch_cost: 1.0409 data_cost: 0.0038 ips: 61.4877 images/s
[03/19 08:21:21] ppdet.engine INFO: Epoch: [175] [200/458] learning_rate: 0.118323 loss_vfl: 1.065814 loss_bbox: 0.484156 loss_dfl: 0.439176 loss: 1.973311 eta: 13:29:23 batch_cost: 0.7904 data_cost: 0.0040 ips: 80.9681 images/s
[03/19 08:21:42] ppdet.engine INFO: Epoch: [175] [220/458] learning_rate: 0.118253 loss_vfl: 1.055236 loss_bbox: 0.448149 loss_dfl: 0.427293 loss: 1.945061 eta: 13:29:08 batch_cost: 0.9899 data_cost: 0.0047 ips: 64.6510 images/s
[03/19 08:22:02] ppdet.engine INFO: Epoch: [175] [240/458] learning_rate: 0.118182 loss_vfl: 1.028791 loss_bbox: 0.450761 loss_dfl: 0.415462 loss: 1.881809 eta: 13:28:51 batch_cost: 0.8687 data_cost: 0.0013 ips: 73.6701 images/s
[03/19 08:22:22] ppdet.engine INFO: Epoch: [175] [260/458] learning_rate: 0.118111 loss_vfl: 1.023080 loss_bbox: 0.462466 loss_dfl: 0.423420 loss: 1.894336 eta: 13:28:35 batch_cost: 0.9531 data_cost: 0.0015 ips: 67.1493 images/s
[03/19 08:22:39] ppdet.engine INFO: Epoch: [175] [280/458] learning_rate: 0.118040 loss_vfl: 1.023193 loss_bbox: 0.459474 loss_dfl: 0.436317 loss: 1.927032 eta: 13:28:17 batch_cost: 0.7489 data_cost: 0.0037 ips: 85.4585 images/s
[03/19 08:23:01] ppdet.engine INFO: Epoch: [175] [300/458] learning_rate: 0.117970 loss_vfl: 0.970072 loss_bbox: 0.435086 loss_dfl: 0.418112 loss: 1.839400 eta: 13:28:02 batch_cost: 0.9926 data_cost: 0.0003 ips: 64.4767 images/s
[03/19 08:23:20] ppdet.engine INFO: Epoch: [175] [320/458] learning_rate: 0.117899 loss_vfl: 1.051813 loss_bbox: 0.480570 loss_dfl: 0.448268 loss: 1.968347 eta: 13:27:45 batch_cost: 0.8834 data_cost: 0.0147 ips: 72.4465 images/s
[03/19 08:23:41] ppdet.engine INFO: Epoch: [175] [340/458] learning_rate: 0.117828 loss_vfl: 1.098867 loss_bbox: 0.487912 loss_dfl: 0.457640 loss: 2.034598 eta: 13:27:30 batch_cost: 0.9720 data_cost: 0.0062 ips: 65.8433 images/s
[03/19 08:24:01] ppdet.engine INFO: Epoch: [175] [360/458] learning_rate: 0.117757 loss_vfl: 0.963040 loss_bbox: 0.440832 loss_dfl: 0.400894 loss: 1.791578 eta: 13:27:13 batch_cost: 0.8681 data_cost: 0.0018 ips: 73.7200 images/s
[03/19 08:24:22] ppdet.engine INFO: Epoch: [175] [380/458] learning_rate: 0.117687 loss_vfl: 1.103398 loss_bbox: 0.488930 loss_dfl: 0.460658 loss: 2.075039 eta: 13:26:58 batch_cost: 0.9552 data_cost: 0.0022 ips: 67.0040 images/s
[03/19 08:24:40] ppdet.engine INFO: Epoch: [175] [400/458] learning_rate: 0.117616 loss_vfl: 1.049341 loss_bbox: 0.455507 loss_dfl: 0.426456 loss: 1.935113 eta: 13:26:40 batch_cost: 0.8305 data_cost: 0.0057 ips: 77.0661 images/s
[03/19 08:25:01] ppdet.engine INFO: Epoch: [175] [420/458] learning_rate: 0.117545 loss_vfl: 1.020464 loss_bbox: 0.479024 loss_dfl: 0.429938 loss: 1.917672 eta: 13:26:25 batch_cost: 0.9554 data_cost: 0.0042 ips: 66.9906 images/s
[03/19 08:25:22] ppdet.engine INFO: Epoch: [175] [440/458] learning_rate: 0.117474 loss_vfl: 1.039821 loss_bbox: 0.462543 loss_dfl: 0.436492 loss: 1.956162 eta: 13:26:09 batch_cost: 0.9416 data_cost: 0.0024 ips: 67.9725 images/s
[03/19 08:25:43] ppdet.engine INFO: Epoch: [176] [  0/458] learning_rate: 0.117411 loss_vfl: 1.020749 loss_bbox: 0.469591 loss_dfl: 0.439648 loss: 1.955241 eta: 13:25:56 batch_cost: 1.0293 data_cost: 0.2704 ips: 62.1760 images/s
[03/19 08:26:03] ppdet.engine INFO: Epoch: [176] [ 20/458] learning_rate: 0.117340 loss_vfl: 1.040702 loss_bbox: 0.471521 loss_dfl: 0.436800 loss: 1.944292 eta: 13:25:39 batch_cost: 0.8836 data_cost: 0.0020 ips: 72.4299 images/s
[03/19 08:26:18] ppdet.engine INFO: Epoch: [176] [ 40/458] learning_rate: 0.117270 loss_vfl: 1.016485 loss_bbox: 0.466120 loss_dfl: 0.421983 loss: 1.866035 eta: 13:25:20 batch_cost: 0.6877 data_cost: 0.0026 ips: 93.0601 images/s
[03/19 08:26:32] ppdet.engine INFO: Epoch: [176] [ 60/458] learning_rate: 0.117199 loss_vfl: 1.053557 loss_bbox: 0.456326 loss_dfl: 0.422197 loss: 1.925014 eta: 13:25:00 batch_cost: 0.6377 data_cost: 0.0033 ips: 100.3548 images/s
[03/19 08:26:52] ppdet.engine INFO: Epoch: [176] [ 80/458] learning_rate: 0.117128 loss_vfl: 1.066819 loss_bbox: 0.471853 loss_dfl: 0.437301 loss: 1.976076 eta: 13:24:43 batch_cost: 0.8575 data_cost: 0.0055 ips: 74.6343 images/s
[03/19 08:27:13] ppdet.engine INFO: Epoch: [176] [100/458] learning_rate: 0.117058 loss_vfl: 1.063231 loss_bbox: 0.475960 loss_dfl: 0.442429 loss: 1.978216 eta: 13:24:28 batch_cost: 0.9808 data_cost: 0.0003 ips: 65.2509 images/s
[03/19 08:27:32] ppdet.engine INFO: Epoch: [176] [120/458] learning_rate: 0.116987 loss_vfl: 1.031749 loss_bbox: 0.459843 loss_dfl: 0.434720 loss: 1.931980 eta: 13:24:11 batch_cost: 0.8496 data_cost: 0.0075 ips: 75.3299 images/s
[03/19 08:27:50] ppdet.engine INFO: Epoch: [176] [140/458] learning_rate: 0.116916 loss_vfl: 1.033183 loss_bbox: 0.461511 loss_dfl: 0.429339 loss: 1.940533 eta: 13:23:53 batch_cost: 0.8020 data_cost: 0.0062 ips: 79.8039 images/s
[03/19 08:28:12] ppdet.engine INFO: Epoch: [176] [160/458] learning_rate: 0.116846 loss_vfl: 1.005624 loss_bbox: 0.461163 loss_dfl: 0.419738 loss: 1.896681 eta: 13:23:38 batch_cost: 1.0105 data_cost: 0.0017 ips: 63.3323 images/s
[03/19 08:28:30] ppdet.engine INFO: Epoch: [176] [180/458] learning_rate: 0.116775 loss_vfl: 1.049896 loss_bbox: 0.477434 loss_dfl: 0.431657 loss: 1.945944 eta: 13:23:21 batch_cost: 0.8282 data_cost: 0.0023 ips: 77.2770 images/s
[03/19 08:28:51] ppdet.engine INFO: Epoch: [176] [200/458] learning_rate: 0.116705 loss_vfl: 1.036940 loss_bbox: 0.451141 loss_dfl: 0.419379 loss: 1.900307 eta: 13:23:05 batch_cost: 0.9511 data_cost: 0.0041 ips: 67.2871 images/s
[03/19 08:29:12] ppdet.engine INFO: Epoch: [176] [220/458] learning_rate: 0.116634 loss_vfl: 1.048239 loss_bbox: 0.462458 loss_dfl: 0.428925 loss: 1.946959 eta: 13:22:50 batch_cost: 0.9449 data_cost: 0.0004 ips: 67.7335 images/s
[03/19 08:29:32] ppdet.engine INFO: Epoch: [176] [240/458] learning_rate: 0.116563 loss_vfl: 1.041898 loss_bbox: 0.457502 loss_dfl: 0.430793 loss: 1.944692 eta: 13:22:33 batch_cost: 0.9206 data_cost: 0.0009 ips: 69.5229 images/s
[03/19 08:29:52] ppdet.engine INFO: Epoch: [176] [260/458] learning_rate: 0.116493 loss_vfl: 1.072772 loss_bbox: 0.489083 loss_dfl: 0.451182 loss: 2.009355 eta: 13:22:17 batch_cost: 0.8713 data_cost: 0.0062 ips: 73.4542 images/s
[03/19 08:30:13] ppdet.engine INFO: Epoch: [176] [280/458] learning_rate: 0.116422 loss_vfl: 1.036706 loss_bbox: 0.485568 loss_dfl: 0.443661 loss: 1.966345 eta: 13:22:01 batch_cost: 0.9441 data_cost: 0.0020 ips: 67.7915 images/s
[03/19 08:30:31] ppdet.engine INFO: Epoch: [176] [300/458] learning_rate: 0.116352 loss_vfl: 1.077560 loss_bbox: 0.460475 loss_dfl: 0.437530 loss: 1.955887 eta: 13:21:43 batch_cost: 0.7960 data_cost: 0.0051 ips: 80.4065 images/s
[03/19 08:30:53] ppdet.engine INFO: Epoch: [176] [320/458] learning_rate: 0.116281 loss_vfl: 1.025043 loss_bbox: 0.464146 loss_dfl: 0.420917 loss: 1.889874 eta: 13:21:28 batch_cost: 0.9731 data_cost: 0.0004 ips: 65.7666 images/s
[03/19 08:31:12] ppdet.engine INFO: Epoch: [176] [340/458] learning_rate: 0.116211 loss_vfl: 1.032151 loss_bbox: 0.468111 loss_dfl: 0.429365 loss: 1.923276 eta: 13:21:11 batch_cost: 0.8580 data_cost: 0.0011 ips: 74.5899 images/s
[03/19 08:31:30] ppdet.engine INFO: Epoch: [176] [360/458] learning_rate: 0.116140 loss_vfl: 0.989849 loss_bbox: 0.452897 loss_dfl: 0.417871 loss: 1.845605 eta: 13:20:53 batch_cost: 0.8199 data_cost: 0.0027 ips: 78.0543 images/s
[03/19 08:31:49] ppdet.engine INFO: Epoch: [176] [380/458] learning_rate: 0.116070 loss_vfl: 1.039607 loss_bbox: 0.449671 loss_dfl: 0.432307 loss: 1.924877 eta: 13:20:36 batch_cost: 0.8005 data_cost: 0.0024 ips: 79.9495 images/s
[03/19 08:32:10] ppdet.engine INFO: Epoch: [176] [400/458] learning_rate: 0.115999 loss_vfl: 1.037822 loss_bbox: 0.455324 loss_dfl: 0.422253 loss: 1.906771 eta: 13:20:20 batch_cost: 0.9368 data_cost: 0.0008 ips: 68.3163 images/s
[03/19 08:32:29] ppdet.engine INFO: Epoch: [176] [420/458] learning_rate: 0.115929 loss_vfl: 1.002703 loss_bbox: 0.441185 loss_dfl: 0.413840 loss: 1.858341 eta: 13:20:03 batch_cost: 0.8766 data_cost: 0.0105 ips: 73.0060 images/s
[03/19 08:32:50] ppdet.engine INFO: Epoch: [176] [440/458] learning_rate: 0.115858 loss_vfl: 1.006586 loss_bbox: 0.443179 loss_dfl: 0.416118 loss: 1.892179 eta: 13:19:47 batch_cost: 0.9383 data_cost: 0.0015 ips: 68.2090 images/s
[03/19 08:33:09] ppdet.engine INFO: Epoch: [177] [  0/458] learning_rate: 0.115795 loss_vfl: 1.012394 loss_bbox: 0.456697 loss_dfl: 0.424721 loss: 1.896159 eta: 13:19:33 batch_cost: 0.9900 data_cost: 0.2007 ips: 64.6438 images/s
[03/19 08:33:29] ppdet.engine INFO: Epoch: [177] [ 20/458] learning_rate: 0.115724 loss_vfl: 1.028793 loss_bbox: 0.445683 loss_dfl: 0.423517 loss: 1.885654 eta: 13:19:16 batch_cost: 0.8438 data_cost: 0.0189 ips: 75.8433 images/s
[03/19 08:33:43] ppdet.engine INFO: Epoch: [177] [ 40/458] learning_rate: 0.115654 loss_vfl: 1.040852 loss_bbox: 0.466956 loss_dfl: 0.441927 loss: 1.967762 eta: 13:18:56 batch_cost: 0.5855 data_cost: 0.0005 ips: 109.3080 images/s
[03/19 08:34:02] ppdet.engine INFO: Epoch: [177] [ 60/458] learning_rate: 0.115583 loss_vfl: 1.045246 loss_bbox: 0.463687 loss_dfl: 0.434532 loss: 1.944089 eta: 13:18:38 batch_cost: 0.8159 data_cost: 0.2038 ips: 78.4433 images/s
[03/19 08:34:24] ppdet.engine INFO: Epoch: [177] [ 80/458] learning_rate: 0.115513 loss_vfl: 1.028465 loss_bbox: 0.476986 loss_dfl: 0.434935 loss: 1.955358 eta: 13:18:23 batch_cost: 0.9795 data_cost: 0.3190 ips: 65.3371 images/s
[03/19 08:34:45] ppdet.engine INFO: Epoch: [177] [100/458] learning_rate: 0.115442 loss_vfl: 1.068324 loss_bbox: 0.481521 loss_dfl: 0.434545 loss: 1.979890 eta: 13:18:07 batch_cost: 0.9171 data_cost: 0.1764 ips: 69.7884 images/s
[03/19 08:35:04] ppdet.engine INFO: Epoch: [177] [120/458] learning_rate: 0.115372 loss_vfl: 1.072355 loss_bbox: 0.474039 loss_dfl: 0.443234 loss: 1.973415 eta: 13:17:50 batch_cost: 0.8562 data_cost: 0.1269 ips: 74.7504 images/s
[03/19 08:35:22] ppdet.engine INFO: Epoch: [177] [140/458] learning_rate: 0.115302 loss_vfl: 1.043227 loss_bbox: 0.456413 loss_dfl: 0.427948 loss: 1.955746 eta: 13:17:32 batch_cost: 0.7760 data_cost: 0.1715 ips: 82.4754 images/s
[03/19 08:35:44] ppdet.engine INFO: Epoch: [177] [160/458] learning_rate: 0.115231 loss_vfl: 1.045557 loss_bbox: 0.462361 loss_dfl: 0.441799 loss: 1.974579 eta: 13:17:16 batch_cost: 0.9759 data_cost: 0.3160 ips: 65.5835 images/s
[03/19 08:36:02] ppdet.engine INFO: Epoch: [177] [180/458] learning_rate: 0.115161 loss_vfl: 1.071595 loss_bbox: 0.471977 loss_dfl: 0.435943 loss: 2.002920 eta: 13:16:58 batch_cost: 0.7579 data_cost: 0.0099 ips: 84.4404 images/s
[03/19 08:36:24] ppdet.engine INFO: Epoch: [177] [200/458] learning_rate: 0.115090 loss_vfl: 1.018062 loss_bbox: 0.456829 loss_dfl: 0.421775 loss: 1.909468 eta: 13:16:42 batch_cost: 0.8980 data_cost: 0.1364 ips: 71.2673 images/s
[03/19 08:36:45] ppdet.engine INFO: Epoch: [177] [220/458] learning_rate: 0.115020 loss_vfl: 1.056291 loss_bbox: 0.463152 loss_dfl: 0.441451 loss: 1.969117 eta: 13:16:26 batch_cost: 0.9635 data_cost: 0.2191 ips: 66.4241 images/s
[03/19 08:37:05] ppdet.engine INFO: Epoch: [177] [240/458] learning_rate: 0.114950 loss_vfl: 1.041378 loss_bbox: 0.475381 loss_dfl: 0.435751 loss: 1.953833 eta: 13:16:09 batch_cost: 0.8373 data_cost: 0.0809 ips: 76.4359 images/s
[03/19 08:37:24] ppdet.engine INFO: Epoch: [177] [260/458] learning_rate: 0.114879 loss_vfl: 1.099826 loss_bbox: 0.496394 loss_dfl: 0.449655 loss: 2.052123 eta: 13:15:52 batch_cost: 0.8478 data_cost: 0.0238 ips: 75.4854 images/s
[03/19 08:37:44] ppdet.engine INFO: Epoch: [177] [280/458] learning_rate: 0.114809 loss_vfl: 1.058222 loss_bbox: 0.466424 loss_dfl: 0.426771 loss: 1.922949 eta: 13:15:35 batch_cost: 0.8700 data_cost: 0.2525 ips: 73.5622 images/s
[03/19 08:38:04] ppdet.engine INFO: Epoch: [177] [300/458] learning_rate: 0.114739 loss_vfl: 1.009763 loss_bbox: 0.457204 loss_dfl: 0.413298 loss: 1.868860 eta: 13:15:18 batch_cost: 0.8627 data_cost: 0.2191 ips: 74.1832 images/s
[03/19 08:38:25] ppdet.engine INFO: Epoch: [177] [320/458] learning_rate: 0.114668 loss_vfl: 1.024067 loss_bbox: 0.450126 loss_dfl: 0.417647 loss: 1.903847 eta: 13:15:02 batch_cost: 0.9451 data_cost: 0.0697 ips: 67.7158 images/s
[03/19 08:38:46] ppdet.engine INFO: Epoch: [177] [340/458] learning_rate: 0.114598 loss_vfl: 1.043117 loss_bbox: 0.498759 loss_dfl: 0.444743 loss: 1.998586 eta: 13:14:46 batch_cost: 0.9305 data_cost: 0.1629 ips: 68.7798 images/s
[03/19 08:39:05] ppdet.engine INFO: Epoch: [177] [360/458] learning_rate: 0.114528 loss_vfl: 1.078259 loss_bbox: 0.467893 loss_dfl: 0.447113 loss: 2.011691 eta: 13:14:29 batch_cost: 0.8043 data_cost: 0.2362 ips: 79.5770 images/s
[03/19 08:39:25] ppdet.engine INFO: Epoch: [177] [380/458] learning_rate: 0.114457 loss_vfl: 1.022020 loss_bbox: 0.472968 loss_dfl: 0.435250 loss: 1.935952 eta: 13:14:12 batch_cost: 0.8497 data_cost: 0.2375 ips: 75.3202 images/s
[03/19 08:39:44] ppdet.engine INFO: Epoch: [177] [400/458] learning_rate: 0.114387 loss_vfl: 1.055369 loss_bbox: 0.468235 loss_dfl: 0.435000 loss: 1.935016 eta: 13:13:54 batch_cost: 0.8390 data_cost: 0.2672 ips: 76.2778 images/s
[03/19 08:40:03] ppdet.engine INFO: Epoch: [177] [420/458] learning_rate: 0.114317 loss_vfl: 1.023380 loss_bbox: 0.469092 loss_dfl: 0.430902 loss: 1.916918 eta: 13:13:37 batch_cost: 0.8237 data_cost: 0.1810 ips: 77.6942 images/s
[03/19 08:40:18] ppdet.engine INFO: Epoch: [177] [440/458] learning_rate: 0.114247 loss_vfl: 0.979872 loss_bbox: 0.451842 loss_dfl: 0.402896 loss: 1.820830 eta: 13:13:16 batch_cost: 0.5892 data_cost: 0.0230 ips: 108.6132 images/s
[03/19 08:40:36] ppdet.engine INFO: Epoch: [178] [  0/458] learning_rate: 0.114183 loss_vfl: 1.045336 loss_bbox: 0.464174 loss_dfl: 0.434152 loss: 1.950680 eta: 13:13:02 batch_cost: 0.8625 data_cost: 0.3147 ips: 74.2002 images/s
[03/19 08:40:55] ppdet.engine INFO: Epoch: [178] [ 20/458] learning_rate: 0.114113 loss_vfl: 0.991484 loss_bbox: 0.466202 loss_dfl: 0.431370 loss: 1.896307 eta: 13:12:44 batch_cost: 0.8320 data_cost: 0.0628 ips: 76.9188 images/s
[03/19 08:41:14] ppdet.engine INFO: Epoch: [178] [ 40/458] learning_rate: 0.114043 loss_vfl: 1.015323 loss_bbox: 0.461653 loss_dfl: 0.422841 loss: 1.869198 eta: 13:12:26 batch_cost: 0.7708 data_cost: 0.0038 ips: 83.0258 images/s
[03/19 08:41:33] ppdet.engine INFO: Epoch: [178] [ 60/458] learning_rate: 0.113973 loss_vfl: 1.029663 loss_bbox: 0.450317 loss_dfl: 0.423226 loss: 1.907269 eta: 13:12:10 batch_cost: 0.8937 data_cost: 0.0377 ips: 71.6146 images/s
[03/19 08:41:52] ppdet.engine INFO: Epoch: [178] [ 80/458] learning_rate: 0.113902 loss_vfl: 1.046681 loss_bbox: 0.472478 loss_dfl: 0.433313 loss: 1.955052 eta: 13:11:53 batch_cost: 0.8475 data_cost: 0.0008 ips: 75.5162 images/s
[03/19 08:42:17] ppdet.engine INFO: Epoch: [178] [100/458] learning_rate: 0.113832 loss_vfl: 1.038433 loss_bbox: 0.478006 loss_dfl: 0.448488 loss: 1.978487 eta: 13:11:40 batch_cost: 1.1438 data_cost: 0.0010 ips: 55.9514 images/s
[03/19 08:42:33] ppdet.engine INFO: Epoch: [178] [120/458] learning_rate: 0.113762 loss_vfl: 1.040021 loss_bbox: 0.483847 loss_dfl: 0.448181 loss: 1.983600 eta: 13:11:21 batch_cost: 0.7182 data_cost: 0.0037 ips: 89.1092 images/s
[03/19 08:42:55] ppdet.engine INFO: Epoch: [178] [140/458] learning_rate: 0.113692 loss_vfl: 1.018361 loss_bbox: 0.449412 loss_dfl: 0.424959 loss: 1.884070 eta: 13:11:06 batch_cost: 1.0038 data_cost: 0.1061 ips: 63.7603 images/s
[03/19 08:43:17] ppdet.engine INFO: Epoch: [178] [160/458] learning_rate: 0.113622 loss_vfl: 1.073123 loss_bbox: 0.488686 loss_dfl: 0.449847 loss: 2.010425 eta: 13:10:51 batch_cost: 1.0250 data_cost: 0.3971 ips: 62.4372 images/s
[03/19 08:43:37] ppdet.engine INFO: Epoch: [178] [180/458] learning_rate: 0.113551 loss_vfl: 1.011598 loss_bbox: 0.454893 loss_dfl: 0.422133 loss: 1.893465 eta: 13:10:35 batch_cost: 0.8937 data_cost: 0.3006 ips: 71.6107 images/s
[03/19 08:43:57] ppdet.engine INFO: Epoch: [178] [200/458] learning_rate: 0.113481 loss_vfl: 1.064179 loss_bbox: 0.492436 loss_dfl: 0.442545 loss: 1.986394 eta: 13:10:18 batch_cost: 0.9017 data_cost: 0.0902 ips: 70.9744 images/s
[03/19 08:44:16] ppdet.engine INFO: Epoch: [178] [220/458] learning_rate: 0.113411 loss_vfl: 1.012131 loss_bbox: 0.467961 loss_dfl: 0.424471 loss: 1.879634 eta: 13:10:02 batch_cost: 0.8941 data_cost: 0.2828 ips: 71.5766 images/s
[03/19 08:44:35] ppdet.engine INFO: Epoch: [178] [240/458] learning_rate: 0.113341 loss_vfl: 1.054223 loss_bbox: 0.481287 loss_dfl: 0.444630 loss: 1.996393 eta: 13:09:44 batch_cost: 0.8005 data_cost: 0.1109 ips: 79.9456 images/s
[03/19 08:44:58] ppdet.engine INFO: Epoch: [178] [260/458] learning_rate: 0.113271 loss_vfl: 1.045098 loss_bbox: 0.442030 loss_dfl: 0.423979 loss: 1.883777 eta: 13:09:30 batch_cost: 1.0775 data_cost: 0.0044 ips: 59.3988 images/s
[03/19 08:45:19] ppdet.engine INFO: Epoch: [178] [280/458] learning_rate: 0.113201 loss_vfl: 1.010127 loss_bbox: 0.441764 loss_dfl: 0.426179 loss: 1.886756 eta: 13:09:14 batch_cost: 0.9348 data_cost: 0.0172 ips: 68.4652 images/s
[03/19 08:45:40] ppdet.engine INFO: Epoch: [178] [300/458] learning_rate: 0.113131 loss_vfl: 1.017401 loss_bbox: 0.462443 loss_dfl: 0.425699 loss: 1.899269 eta: 13:08:58 batch_cost: 0.9499 data_cost: 0.0036 ips: 67.3774 images/s
[03/19 08:45:58] ppdet.engine INFO: Epoch: [178] [320/458] learning_rate: 0.113060 loss_vfl: 1.065215 loss_bbox: 0.468264 loss_dfl: 0.443156 loss: 1.975077 eta: 13:08:41 batch_cost: 0.8224 data_cost: 0.0022 ips: 77.8242 images/s
[03/19 08:46:18] ppdet.engine INFO: Epoch: [178] [340/458] learning_rate: 0.112990 loss_vfl: 1.015856 loss_bbox: 0.469236 loss_dfl: 0.429249 loss: 1.925348 eta: 13:08:25 batch_cost: 0.9029 data_cost: 0.1470 ips: 70.8820 images/s
[03/19 08:46:39] ppdet.engine INFO: Epoch: [178] [360/458] learning_rate: 0.112920 loss_vfl: 1.040872 loss_bbox: 0.465212 loss_dfl: 0.438701 loss: 1.947593 eta: 13:08:09 batch_cost: 0.9701 data_cost: 0.1408 ips: 65.9749 images/s
[03/19 08:47:00] ppdet.engine INFO: Epoch: [178] [380/458] learning_rate: 0.112850 loss_vfl: 1.023849 loss_bbox: 0.485558 loss_dfl: 0.444162 loss: 1.969086 eta: 13:07:53 batch_cost: 0.9325 data_cost: 0.0029 ips: 68.6344 images/s
[03/19 08:47:18] ppdet.engine INFO: Epoch: [178] [400/458] learning_rate: 0.112780 loss_vfl: 0.992976 loss_bbox: 0.450055 loss_dfl: 0.420671 loss: 1.859029 eta: 13:07:36 batch_cost: 0.7963 data_cost: 0.0090 ips: 80.3697 images/s
[03/19 08:47:32] ppdet.engine INFO: Epoch: [178] [420/458] learning_rate: 0.112710 loss_vfl: 1.049386 loss_bbox: 0.475185 loss_dfl: 0.438933 loss: 1.995331 eta: 13:07:16 batch_cost: 0.6362 data_cost: 0.0010 ips: 100.5989 images/s
[03/19 08:47:47] ppdet.engine INFO: Epoch: [178] [440/458] learning_rate: 0.112640 loss_vfl: 1.046262 loss_bbox: 0.464589 loss_dfl: 0.432533 loss: 1.964008 eta: 13:06:56 batch_cost: 0.6445 data_cost: 0.0079 ips: 99.3049 images/s
[03/19 08:48:06] ppdet.engine INFO: Epoch: [179] [  0/458] learning_rate: 0.112577 loss_vfl: 1.034231 loss_bbox: 0.471929 loss_dfl: 0.433510 loss: 1.941107 eta: 13:06:42 batch_cost: 0.9151 data_cost: 0.3837 ips: 69.9362 images/s
[03/19 08:48:26] ppdet.engine INFO: Epoch: [179] [ 20/458] learning_rate: 0.112507 loss_vfl: 1.048740 loss_bbox: 0.475928 loss_dfl: 0.439256 loss: 1.959413 eta: 13:06:25 batch_cost: 0.8590 data_cost: 0.0425 ips: 74.5026 images/s
[03/19 08:48:45] ppdet.engine INFO: Epoch: [179] [ 40/458] learning_rate: 0.112437 loss_vfl: 1.074333 loss_bbox: 0.475789 loss_dfl: 0.441386 loss: 1.988961 eta: 13:06:08 batch_cost: 0.8724 data_cost: 0.0011 ips: 73.3632 images/s
[03/19 08:49:05] ppdet.engine INFO: Epoch: [179] [ 60/458] learning_rate: 0.112367 loss_vfl: 1.062780 loss_bbox: 0.488094 loss_dfl: 0.447742 loss: 1.986676 eta: 13:05:51 batch_cost: 0.8859 data_cost: 0.0003 ips: 72.2435 images/s
[03/19 08:49:27] ppdet.engine INFO: Epoch: [179] [ 80/458] learning_rate: 0.112297 loss_vfl: 1.017732 loss_bbox: 0.456314 loss_dfl: 0.438338 loss: 1.936141 eta: 13:05:36 batch_cost: 0.9682 data_cost: 0.0018 ips: 66.1008 images/s
[03/19 08:49:45] ppdet.engine INFO: Epoch: [179] [100/458] learning_rate: 0.112227 loss_vfl: 1.075207 loss_bbox: 0.492468 loss_dfl: 0.459927 loss: 2.039079 eta: 13:05:18 batch_cost: 0.8255 data_cost: 0.0008 ips: 77.5309 images/s
[03/19 08:50:04] ppdet.engine INFO: Epoch: [179] [120/458] learning_rate: 0.112157 loss_vfl: 0.997563 loss_bbox: 0.450403 loss_dfl: 0.422951 loss: 1.866810 eta: 13:05:02 batch_cost: 0.8655 data_cost: 0.0048 ips: 73.9476 images/s
[03/19 08:50:26] ppdet.engine INFO: Epoch: [179] [140/458] learning_rate: 0.112087 loss_vfl: 1.060107 loss_bbox: 0.472380 loss_dfl: 0.440680 loss: 1.960542 eta: 13:04:46 batch_cost: 0.9882 data_cost: 0.0031 ips: 64.7637 images/s
[03/19 08:50:44] ppdet.engine INFO: Epoch: [179] [160/458] learning_rate: 0.112017 loss_vfl: 1.029051 loss_bbox: 0.476378 loss_dfl: 0.440097 loss: 1.937247 eta: 13:04:29 batch_cost: 0.8157 data_cost: 0.0020 ips: 78.4593 images/s
[03/19 08:51:05] ppdet.engine INFO: Epoch: [179] [180/458] learning_rate: 0.111947 loss_vfl: 1.080668 loss_bbox: 0.475024 loss_dfl: 0.449446 loss: 1.969620 eta: 13:04:13 batch_cost: 0.9507 data_cost: 0.0004 ips: 67.3191 images/s
[03/19 08:51:25] ppdet.engine INFO: Epoch: [179] [200/458] learning_rate: 0.111877 loss_vfl: 1.060739 loss_bbox: 0.472722 loss_dfl: 0.433606 loss: 1.956940 eta: 13:03:57 batch_cost: 0.9177 data_cost: 0.0038 ips: 69.7378 images/s
[03/19 08:51:42] ppdet.engine INFO: Epoch: [179] [220/458] learning_rate: 0.111807 loss_vfl: 1.035313 loss_bbox: 0.441830 loss_dfl: 0.427853 loss: 1.935854 eta: 13:03:39 batch_cost: 0.7642 data_cost: 0.0038 ips: 83.7528 images/s
[03/19 08:52:05] ppdet.engine INFO: Epoch: [179] [240/458] learning_rate: 0.111737 loss_vfl: 1.059031 loss_bbox: 0.491331 loss_dfl: 0.444557 loss: 2.003806 eta: 13:03:25 batch_cost: 1.0599 data_cost: 0.0009 ips: 60.3824 images/s
[03/19 08:52:24] ppdet.engine INFO: Epoch: [179] [260/458] learning_rate: 0.111667 loss_vfl: 1.017482 loss_bbox: 0.448302 loss_dfl: 0.422441 loss: 1.893154 eta: 13:03:07 batch_cost: 0.8290 data_cost: 0.0046 ips: 77.2037 images/s
[03/19 08:52:44] ppdet.engine INFO: Epoch: [179] [280/458] learning_rate: 0.111598 loss_vfl: 1.024682 loss_bbox: 0.473926 loss_dfl: 0.432228 loss: 1.920782 eta: 13:02:51 batch_cost: 0.8881 data_cost: 0.0021 ips: 72.0655 images/s
[03/19 08:53:02] ppdet.engine INFO: Epoch: [179] [300/458] learning_rate: 0.111528 loss_vfl: 1.047899 loss_bbox: 0.480318 loss_dfl: 0.437966 loss: 1.973989 eta: 13:02:33 batch_cost: 0.8109 data_cost: 0.0057 ips: 78.9252 images/s
[03/19 08:53:22] ppdet.engine INFO: Epoch: [179] [320/458] learning_rate: 0.111458 loss_vfl: 1.004663 loss_bbox: 0.465529 loss_dfl: 0.423526 loss: 1.903588 eta: 13:02:17 batch_cost: 0.8927 data_cost: 0.0031 ips: 71.6965 images/s
[03/19 08:53:43] ppdet.engine INFO: Epoch: [179] [340/458] learning_rate: 0.111388 loss_vfl: 1.023357 loss_bbox: 0.453397 loss_dfl: 0.421315 loss: 1.896192 eta: 13:02:02 batch_cost: 1.0049 data_cost: 0.0015 ips: 63.6903 images/s
[03/19 08:54:02] ppdet.engine INFO: Epoch: [179] [360/458] learning_rate: 0.111318 loss_vfl: 1.018758 loss_bbox: 0.459318 loss_dfl: 0.428038 loss: 1.909332 eta: 13:01:44 batch_cost: 0.8328 data_cost: 0.0016 ips: 76.8469 images/s
[03/19 08:54:20] ppdet.engine INFO: Epoch: [179] [380/458] learning_rate: 0.111248 loss_vfl: 1.083924 loss_bbox: 0.467009 loss_dfl: 0.447091 loss: 2.037969 eta: 13:01:27 batch_cost: 0.8285 data_cost: 0.0032 ips: 77.2439 images/s
[03/19 08:54:39] ppdet.engine INFO: Epoch: [179] [400/458] learning_rate: 0.111178 loss_vfl: 1.034064 loss_bbox: 0.480494 loss_dfl: 0.445334 loss: 1.986150 eta: 13:01:10 batch_cost: 0.8585 data_cost: 0.0049 ips: 74.5524 images/s
[03/19 08:54:53] ppdet.engine INFO: Epoch: [179] [420/458] learning_rate: 0.111109 loss_vfl: 0.989312 loss_bbox: 0.470442 loss_dfl: 0.423269 loss: 1.881942 eta: 13:00:50 batch_cost: 0.6202 data_cost: 0.0061 ips: 103.1917 images/s
[03/19 08:55:09] ppdet.engine INFO: Epoch: [179] [440/458] learning_rate: 0.111039 loss_vfl: 1.088064 loss_bbox: 0.480024 loss_dfl: 0.449213 loss: 2.024368 eta: 13:00:31 batch_cost: 0.7311 data_cost: 0.0072 ips: 87.5366 images/s
[03/19 08:55:22] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 08:55:22] ppdet.engine INFO: Eval iter: 0
[03/19 08:55:42] ppdet.engine INFO: Eval iter: 100
[03/19 08:55:51] ppdet.engine INFO: Eval iter: 200
[03/19 08:55:59] ppdet.engine INFO: Eval iter: 300
[03/19 08:56:08] ppdet.engine INFO: Eval iter: 400
[03/19 08:56:17] ppdet.engine INFO: Eval iter: 500
[03/19 08:56:25] ppdet.engine INFO: Eval iter: 600
[03/19 08:56:39] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.58s)
creating index...
index created!
[03/19 08:56:40] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.57s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=76.73s).
Accumulating evaluation results...
DONE (t=17.34s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.218
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.335
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.227
 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 ] = 0.212
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.390
 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 ] = 0.368
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.390
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.111
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.427
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.662
[03/19 08:58:20] ppdet.engine INFO: Total sample number: 4952, averge FPS: 75.73693588764716
[03/19 08:58:20] ppdet.engine INFO: Best test bbox ap is 0.218.
[03/19 08:58:20] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 08:58:21] ppdet.engine INFO: Epoch: [180] [  0/458] learning_rate: 0.110976 loss_vfl: 1.045311 loss_bbox: 0.470052 loss_dfl: 0.430050 loss: 1.961390 eta: 13:00:13 batch_cost: 0.6782 data_cost: 0.0042 ips: 94.3713 images/s
[03/19 08:58:36] ppdet.engine INFO: Epoch: [180] [ 20/458] learning_rate: 0.110906 loss_vfl: 1.036589 loss_bbox: 0.477849 loss_dfl: 0.449755 loss: 1.969779 eta: 12:59:53 batch_cost: 0.6295 data_cost: 0.0324 ips: 101.6610 images/s
[03/19 08:58:57] ppdet.engine INFO: Epoch: [180] [ 40/458] learning_rate: 0.110836 loss_vfl: 1.005866 loss_bbox: 0.473856 loss_dfl: 0.431429 loss: 1.952314 eta: 12:59:36 batch_cost: 0.8910 data_cost: 0.2844 ips: 71.8278 images/s
[03/19 08:59:18] ppdet.engine INFO: Epoch: [180] [ 60/458] learning_rate: 0.110767 loss_vfl: 1.047508 loss_bbox: 0.497248 loss_dfl: 0.452525 loss: 2.003078 eta: 12:59:20 batch_cost: 0.9084 data_cost: 0.2287 ips: 70.4509 images/s
[03/19 08:59:40] ppdet.engine INFO: Epoch: [180] [ 80/458] learning_rate: 0.110697 loss_vfl: 1.100557 loss_bbox: 0.485861 loss_dfl: 0.449196 loss: 2.042597 eta: 12:59:05 batch_cost: 1.0050 data_cost: 0.4098 ips: 63.6789 images/s
[03/19 09:00:02] ppdet.engine INFO: Epoch: [180] [100/458] learning_rate: 0.110627 loss_vfl: 1.003358 loss_bbox: 0.442559 loss_dfl: 0.417828 loss: 1.848489 eta: 12:58:50 batch_cost: 0.9794 data_cost: 0.3875 ips: 65.3450 images/s
[03/19 09:00:20] ppdet.engine INFO: Epoch: [180] [120/458] learning_rate: 0.110557 loss_vfl: 1.037272 loss_bbox: 0.464173 loss_dfl: 0.437895 loss: 1.943717 eta: 12:58:33 batch_cost: 0.8399 data_cost: 0.0038 ips: 76.2018 images/s
[03/19 09:00:42] ppdet.engine INFO: Epoch: [180] [140/458] learning_rate: 0.110488 loss_vfl: 1.003605 loss_bbox: 0.430023 loss_dfl: 0.408706 loss: 1.837906 eta: 12:58:17 batch_cost: 0.9416 data_cost: 0.3513 ips: 67.9672 images/s
[03/19 09:01:02] ppdet.engine INFO: Epoch: [180] [160/458] learning_rate: 0.110418 loss_vfl: 1.040485 loss_bbox: 0.455740 loss_dfl: 0.425508 loss: 1.922955 eta: 12:58:00 batch_cost: 0.8856 data_cost: 0.2775 ips: 72.2685 images/s
[03/19 09:01:19] ppdet.engine INFO: Epoch: [180] [180/458] learning_rate: 0.110348 loss_vfl: 1.017162 loss_bbox: 0.444778 loss_dfl: 0.418137 loss: 1.855590 eta: 12:57:43 batch_cost: 0.8080 data_cost: 0.2272 ips: 79.2107 images/s
[03/19 09:01:36] ppdet.engine INFO: Epoch: [180] [200/458] learning_rate: 0.110278 loss_vfl: 1.000490 loss_bbox: 0.432704 loss_dfl: 0.416138 loss: 1.860575 eta: 12:57:24 batch_cost: 0.7265 data_cost: 0.2028 ips: 88.0886 images/s
[03/19 09:01:52] ppdet.engine INFO: Epoch: [180] [220/458] learning_rate: 0.110209 loss_vfl: 1.029623 loss_bbox: 0.446743 loss_dfl: 0.422360 loss: 1.912878 eta: 12:57:05 batch_cost: 0.7089 data_cost: 0.2301 ips: 90.2852 images/s
[03/19 09:02:13] ppdet.engine INFO: Epoch: [180] [240/458] learning_rate: 0.110139 loss_vfl: 1.045991 loss_bbox: 0.465459 loss_dfl: 0.428939 loss: 1.938000 eta: 12:56:49 batch_cost: 0.9417 data_cost: 0.4033 ips: 67.9622 images/s
[03/19 09:02:31] ppdet.engine INFO: Epoch: [180] [260/458] learning_rate: 0.110069 loss_vfl: 1.089098 loss_bbox: 0.487320 loss_dfl: 0.446456 loss: 2.025004 eta: 12:56:30 batch_cost: 0.7203 data_cost: 0.0813 ips: 88.8560 images/s
[03/19 09:02:51] ppdet.engine INFO: Epoch: [180] [280/458] learning_rate: 0.110000 loss_vfl: 0.999029 loss_bbox: 0.459920 loss_dfl: 0.424194 loss: 1.878786 eta: 12:56:14 batch_cost: 0.8894 data_cost: 0.0072 ips: 71.9623 images/s
[03/19 09:03:12] ppdet.engine INFO: Epoch: [180] [300/458] learning_rate: 0.109930 loss_vfl: 1.034344 loss_bbox: 0.449893 loss_dfl: 0.418787 loss: 1.892824 eta: 12:55:58 batch_cost: 0.9372 data_cost: 0.0989 ips: 68.2861 images/s
[03/19 09:03:34] ppdet.engine INFO: Epoch: [180] [320/458] learning_rate: 0.109860 loss_vfl: 1.093184 loss_bbox: 0.466175 loss_dfl: 0.441910 loss: 1.995319 eta: 12:55:43 batch_cost: 1.0002 data_cost: 0.3850 ips: 63.9861 images/s
[03/19 09:03:52] ppdet.engine INFO: Epoch: [180] [340/458] learning_rate: 0.109791 loss_vfl: 1.032641 loss_bbox: 0.472231 loss_dfl: 0.434743 loss: 1.934602 eta: 12:55:25 batch_cost: 0.8127 data_cost: 0.2304 ips: 78.7546 images/s
[03/19 09:04:10] ppdet.engine INFO: Epoch: [180] [360/458] learning_rate: 0.109721 loss_vfl: 1.015764 loss_bbox: 0.453963 loss_dfl: 0.420881 loss: 1.883396 eta: 12:55:07 batch_cost: 0.7650 data_cost: 0.1176 ips: 83.6596 images/s
[03/19 09:04:30] ppdet.engine INFO: Epoch: [180] [380/458] learning_rate: 0.109652 loss_vfl: 1.008096 loss_bbox: 0.466002 loss_dfl: 0.423900 loss: 1.893071 eta: 12:54:50 batch_cost: 0.8574 data_cost: 0.2291 ips: 74.6483 images/s
[03/19 09:04:50] ppdet.engine INFO: Epoch: [180] [400/458] learning_rate: 0.109582 loss_vfl: 1.020188 loss_bbox: 0.461529 loss_dfl: 0.421656 loss: 1.885994 eta: 12:54:33 batch_cost: 0.8729 data_cost: 0.0192 ips: 73.3215 images/s
[03/19 09:05:11] ppdet.engine INFO: Epoch: [180] [420/458] learning_rate: 0.109512 loss_vfl: 1.070449 loss_bbox: 0.483673 loss_dfl: 0.442791 loss: 1.980856 eta: 12:54:17 batch_cost: 0.9132 data_cost: 0.0469 ips: 70.0808 images/s
[03/19 09:05:29] ppdet.engine INFO: Epoch: [180] [440/458] learning_rate: 0.109443 loss_vfl: 1.021753 loss_bbox: 0.448180 loss_dfl: 0.412999 loss: 1.897231 eta: 12:53:59 batch_cost: 0.7825 data_cost: 0.0015 ips: 81.7910 images/s
[03/19 09:05:52] ppdet.engine INFO: Epoch: [181] [  0/458] learning_rate: 0.109380 loss_vfl: 0.994330 loss_bbox: 0.460993 loss_dfl: 0.430059 loss: 1.916055 eta: 12:53:48 batch_cost: 1.1635 data_cost: 0.3323 ips: 55.0053 images/s
[03/19 09:06:13] ppdet.engine INFO: Epoch: [181] [ 20/458] learning_rate: 0.109311 loss_vfl: 0.996723 loss_bbox: 0.457740 loss_dfl: 0.420167 loss: 1.888808 eta: 12:53:31 batch_cost: 0.9258 data_cost: 0.2363 ips: 69.1297 images/s
[03/19 09:06:33] ppdet.engine INFO: Epoch: [181] [ 40/458] learning_rate: 0.109241 loss_vfl: 1.007189 loss_bbox: 0.440587 loss_dfl: 0.421267 loss: 1.853707 eta: 12:53:15 batch_cost: 0.8627 data_cost: 0.1590 ips: 74.1857 images/s
[03/19 09:06:56] ppdet.engine INFO: Epoch: [181] [ 60/458] learning_rate: 0.109172 loss_vfl: 1.035383 loss_bbox: 0.471988 loss_dfl: 0.441429 loss: 1.973958 eta: 12:53:00 batch_cost: 1.0155 data_cost: 0.3994 ips: 63.0201 images/s
[03/19 09:07:16] ppdet.engine INFO: Epoch: [181] [ 80/458] learning_rate: 0.109102 loss_vfl: 1.031946 loss_bbox: 0.472393 loss_dfl: 0.446119 loss: 1.950458 eta: 12:52:43 batch_cost: 0.8849 data_cost: 0.1463 ips: 72.3263 images/s
[03/19 09:07:37] ppdet.engine INFO: Epoch: [181] [100/458] learning_rate: 0.109033 loss_vfl: 1.065510 loss_bbox: 0.487567 loss_dfl: 0.443118 loss: 2.004008 eta: 12:52:27 batch_cost: 0.9184 data_cost: 0.1577 ips: 69.6874 images/s
[03/19 09:08:00] ppdet.engine INFO: Epoch: [181] [120/458] learning_rate: 0.108963 loss_vfl: 1.040178 loss_bbox: 0.467657 loss_dfl: 0.426470 loss: 1.931698 eta: 12:52:12 batch_cost: 1.0167 data_cost: 0.4439 ips: 62.9468 images/s
[03/19 09:08:12] ppdet.engine INFO: Epoch: [181] [140/458] learning_rate: 0.108894 loss_vfl: 0.974518 loss_bbox: 0.437797 loss_dfl: 0.416529 loss: 1.823228 eta: 12:51:51 batch_cost: 0.5127 data_cost: 0.1177 ips: 124.8294 images/s
[03/19 09:08:30] ppdet.engine INFO: Epoch: [181] [160/458] learning_rate: 0.108824 loss_vfl: 1.004692 loss_bbox: 0.429170 loss_dfl: 0.406338 loss: 1.838139 eta: 12:51:32 batch_cost: 0.7352 data_cost: 0.1896 ips: 87.0563 images/s
[03/19 09:08:49] ppdet.engine INFO: Epoch: [181] [180/458] learning_rate: 0.108755 loss_vfl: 1.018439 loss_bbox: 0.449600 loss_dfl: 0.416840 loss: 1.898795 eta: 12:51:14 batch_cost: 0.8197 data_cost: 0.0136 ips: 78.0790 images/s
[03/19 09:09:10] ppdet.engine INFO: Epoch: [181] [200/458] learning_rate: 0.108685 loss_vfl: 1.082193 loss_bbox: 0.492405 loss_dfl: 0.449077 loss: 2.025694 eta: 12:50:59 batch_cost: 0.9751 data_cost: 0.1946 ips: 65.6311 images/s
[03/19 09:09:30] ppdet.engine INFO: Epoch: [181] [220/458] learning_rate: 0.108616 loss_vfl: 1.072864 loss_bbox: 0.475591 loss_dfl: 0.446156 loss: 1.993256 eta: 12:50:42 batch_cost: 0.8809 data_cost: 0.3167 ips: 72.6492 images/s
[03/19 09:09:53] ppdet.engine INFO: Epoch: [181] [240/458] learning_rate: 0.108546 loss_vfl: 1.026653 loss_bbox: 0.486430 loss_dfl: 0.442920 loss: 1.969127 eta: 12:50:28 batch_cost: 1.0352 data_cost: 0.2417 ips: 61.8214 images/s
[03/19 09:10:14] ppdet.engine INFO: Epoch: [181] [260/458] learning_rate: 0.108477 loss_vfl: 1.095121 loss_bbox: 0.505123 loss_dfl: 0.466380 loss: 2.081695 eta: 12:50:12 batch_cost: 0.9572 data_cost: 0.0048 ips: 66.8608 images/s
[03/19 09:10:31] ppdet.engine INFO: Epoch: [181] [280/458] learning_rate: 0.108407 loss_vfl: 1.052450 loss_bbox: 0.467856 loss_dfl: 0.434467 loss: 1.977593 eta: 12:49:53 batch_cost: 0.7038 data_cost: 0.0030 ips: 90.9345 images/s
[03/19 09:10:52] ppdet.engine INFO: Epoch: [181] [300/458] learning_rate: 0.108338 loss_vfl: 1.009051 loss_bbox: 0.435888 loss_dfl: 0.408879 loss: 1.849054 eta: 12:49:37 batch_cost: 0.9246 data_cost: 0.0020 ips: 69.2183 images/s
[03/19 09:11:13] ppdet.engine INFO: Epoch: [181] [320/458] learning_rate: 0.108269 loss_vfl: 1.048807 loss_bbox: 0.462211 loss_dfl: 0.435938 loss: 1.944035 eta: 12:49:21 batch_cost: 0.8969 data_cost: 0.0243 ips: 71.3560 images/s
[03/19 09:11:31] ppdet.engine INFO: Epoch: [181] [340/458] learning_rate: 0.108199 loss_vfl: 1.026274 loss_bbox: 0.482447 loss_dfl: 0.434493 loss: 1.936385 eta: 12:49:02 batch_cost: 0.7302 data_cost: 0.0018 ips: 87.6526 images/s
[03/19 09:11:51] ppdet.engine INFO: Epoch: [181] [360/458] learning_rate: 0.108130 loss_vfl: 1.087162 loss_bbox: 0.502845 loss_dfl: 0.455779 loss: 2.044538 eta: 12:48:45 batch_cost: 0.8650 data_cost: 0.0304 ips: 73.9924 images/s
[03/19 09:12:12] ppdet.engine INFO: Epoch: [181] [380/458] learning_rate: 0.108060 loss_vfl: 0.999152 loss_bbox: 0.446710 loss_dfl: 0.409083 loss: 1.830453 eta: 12:48:28 batch_cost: 0.8597 data_cost: 0.0199 ips: 74.4427 images/s
[03/19 09:12:35] ppdet.engine INFO: Epoch: [181] [400/458] learning_rate: 0.107991 loss_vfl: 1.045444 loss_bbox: 0.467372 loss_dfl: 0.437195 loss: 1.992052 eta: 12:48:13 batch_cost: 1.0279 data_cost: 0.1926 ips: 62.2618 images/s
[03/19 09:12:55] ppdet.engine INFO: Epoch: [181] [420/458] learning_rate: 0.107922 loss_vfl: 1.017371 loss_bbox: 0.466088 loss_dfl: 0.437028 loss: 1.935918 eta: 12:47:57 batch_cost: 0.8736 data_cost: 0.1005 ips: 73.2628 images/s
[03/19 09:13:14] ppdet.engine INFO: Epoch: [181] [440/458] learning_rate: 0.107852 loss_vfl: 1.043265 loss_bbox: 0.472496 loss_dfl: 0.435446 loss: 1.957863 eta: 12:47:39 batch_cost: 0.8042 data_cost: 0.0934 ips: 79.5835 images/s
[03/19 09:13:35] ppdet.engine INFO: Epoch: [182] [  0/458] learning_rate: 0.107790 loss_vfl: 1.024659 loss_bbox: 0.459616 loss_dfl: 0.423791 loss: 1.863166 eta: 12:47:25 batch_cost: 0.9379 data_cost: 0.3508 ips: 68.2393 images/s
[03/19 09:13:57] ppdet.engine INFO: Epoch: [182] [ 20/458] learning_rate: 0.107721 loss_vfl: 1.004421 loss_bbox: 0.449229 loss_dfl: 0.419452 loss: 1.869265 eta: 12:47:10 batch_cost: 0.9801 data_cost: 0.3215 ips: 65.3007 images/s
[03/19 09:14:19] ppdet.engine INFO: Epoch: [182] [ 40/458] learning_rate: 0.107651 loss_vfl: 0.995779 loss_bbox: 0.452986 loss_dfl: 0.415838 loss: 1.872003 eta: 12:46:54 batch_cost: 0.9453 data_cost: 0.2740 ips: 67.7063 images/s
[03/19 09:14:42] ppdet.engine INFO: Epoch: [182] [ 60/458] learning_rate: 0.107582 loss_vfl: 1.012819 loss_bbox: 0.456452 loss_dfl: 0.418347 loss: 1.876635 eta: 12:46:39 batch_cost: 1.0404 data_cost: 0.4329 ips: 61.5161 images/s
[03/19 09:14:56] ppdet.engine INFO: Epoch: [182] [ 80/458] learning_rate: 0.107513 loss_vfl: 1.027109 loss_bbox: 0.471349 loss_dfl: 0.436463 loss: 1.954429 eta: 12:46:19 batch_cost: 0.6158 data_cost: 0.1174 ips: 103.9329 images/s
[03/19 09:15:11] ppdet.engine INFO: Epoch: [182] [100/458] learning_rate: 0.107444 loss_vfl: 1.011331 loss_bbox: 0.449342 loss_dfl: 0.428852 loss: 1.912800 eta: 12:46:00 batch_cost: 0.6584 data_cost: 0.1499 ips: 97.2127 images/s
[03/19 09:15:33] ppdet.engine INFO: Epoch: [182] [120/458] learning_rate: 0.107374 loss_vfl: 1.023293 loss_bbox: 0.458970 loss_dfl: 0.429154 loss: 1.901615 eta: 12:45:44 batch_cost: 0.9425 data_cost: 0.4160 ips: 67.9057 images/s
[03/19 09:15:52] ppdet.engine INFO: Epoch: [182] [140/458] learning_rate: 0.107305 loss_vfl: 1.037995 loss_bbox: 0.464141 loss_dfl: 0.424660 loss: 1.933416 eta: 12:45:26 batch_cost: 0.8165 data_cost: 0.2389 ips: 78.3814 images/s
[03/19 09:16:13] ppdet.engine INFO: Epoch: [182] [160/458] learning_rate: 0.107236 loss_vfl: 0.988705 loss_bbox: 0.442655 loss_dfl: 0.405416 loss: 1.830326 eta: 12:45:10 batch_cost: 0.9063 data_cost: 0.4441 ips: 70.6131 images/s
[03/19 09:16:35] ppdet.engine INFO: Epoch: [182] [180/458] learning_rate: 0.107167 loss_vfl: 0.999990 loss_bbox: 0.450708 loss_dfl: 0.418858 loss: 1.862316 eta: 12:44:55 batch_cost: 0.9864 data_cost: 0.2775 ips: 64.8833 images/s
[03/19 09:16:55] ppdet.engine INFO: Epoch: [182] [200/458] learning_rate: 0.107098 loss_vfl: 1.064878 loss_bbox: 0.458670 loss_dfl: 0.438981 loss: 1.954914 eta: 12:44:38 batch_cost: 0.8390 data_cost: 0.0242 ips: 76.2837 images/s
[03/19 09:17:16] ppdet.engine INFO: Epoch: [182] [220/458] learning_rate: 0.107028 loss_vfl: 1.015246 loss_bbox: 0.442755 loss_dfl: 0.422080 loss: 1.881176 eta: 12:44:21 batch_cost: 0.9183 data_cost: 0.0037 ips: 69.6941 images/s
[03/19 09:17:38] ppdet.engine INFO: Epoch: [182] [240/458] learning_rate: 0.106959 loss_vfl: 1.064830 loss_bbox: 0.459597 loss_dfl: 0.431089 loss: 1.962500 eta: 12:44:06 batch_cost: 0.9801 data_cost: 0.0049 ips: 65.2999 images/s
[03/19 09:17:58] ppdet.engine INFO: Epoch: [182] [260/458] learning_rate: 0.106890 loss_vfl: 1.073335 loss_bbox: 0.495938 loss_dfl: 0.454447 loss: 2.052761 eta: 12:43:49 batch_cost: 0.8842 data_cost: 0.0106 ips: 72.3848 images/s
[03/19 09:18:17] ppdet.engine INFO: Epoch: [182] [280/458] learning_rate: 0.106821 loss_vfl: 1.056182 loss_bbox: 0.483414 loss_dfl: 0.446944 loss: 1.984390 eta: 12:43:32 batch_cost: 0.8411 data_cost: 0.0584 ips: 76.0898 images/s
[03/19 09:18:38] ppdet.engine INFO: Epoch: [182] [300/458] learning_rate: 0.106752 loss_vfl: 1.026015 loss_bbox: 0.465117 loss_dfl: 0.443624 loss: 1.949646 eta: 12:43:17 batch_cost: 0.9574 data_cost: 0.2391 ips: 66.8493 images/s
[03/19 09:18:57] ppdet.engine INFO: Epoch: [182] [320/458] learning_rate: 0.106682 loss_vfl: 1.046444 loss_bbox: 0.459505 loss_dfl: 0.432954 loss: 1.942720 eta: 12:42:59 batch_cost: 0.8339 data_cost: 0.1476 ips: 76.7494 images/s
[03/19 09:19:17] ppdet.engine INFO: Epoch: [182] [340/458] learning_rate: 0.106613 loss_vfl: 1.105425 loss_bbox: 0.502509 loss_dfl: 0.465602 loss: 2.063036 eta: 12:42:42 batch_cost: 0.8662 data_cost: 0.1826 ips: 73.8843 images/s
[03/19 09:19:41] ppdet.engine INFO: Epoch: [182] [360/458] learning_rate: 0.106544 loss_vfl: 1.041416 loss_bbox: 0.450135 loss_dfl: 0.426847 loss: 1.912661 eta: 12:42:28 batch_cost: 1.0859 data_cost: 0.0028 ips: 58.9360 images/s
[03/19 09:20:01] ppdet.engine INFO: Epoch: [182] [380/458] learning_rate: 0.106475 loss_vfl: 0.976834 loss_bbox: 0.437224 loss_dfl: 0.410706 loss: 1.812554 eta: 12:42:11 batch_cost: 0.8683 data_cost: 0.0085 ips: 73.7047 images/s
[03/19 09:20:20] ppdet.engine INFO: Epoch: [182] [400/458] learning_rate: 0.106406 loss_vfl: 1.047785 loss_bbox: 0.460341 loss_dfl: 0.437081 loss: 1.944468 eta: 12:41:54 batch_cost: 0.8403 data_cost: 0.0037 ips: 76.1646 images/s
[03/19 09:20:43] ppdet.engine INFO: Epoch: [182] [420/458] learning_rate: 0.106337 loss_vfl: 1.063054 loss_bbox: 0.490638 loss_dfl: 0.445723 loss: 2.011193 eta: 12:41:40 batch_cost: 1.0457 data_cost: 0.0030 ips: 61.2056 images/s
[03/19 09:21:03] ppdet.engine INFO: Epoch: [182] [440/458] learning_rate: 0.106268 loss_vfl: 1.053612 loss_bbox: 0.487529 loss_dfl: 0.451373 loss: 2.011804 eta: 12:41:23 batch_cost: 0.8713 data_cost: 0.0055 ips: 73.4511 images/s
[03/19 09:21:23] ppdet.engine INFO: Epoch: [183] [  0/458] learning_rate: 0.106206 loss_vfl: 1.004537 loss_bbox: 0.437463 loss_dfl: 0.414616 loss: 1.843024 eta: 12:41:09 batch_cost: 0.9086 data_cost: 0.2897 ips: 70.4369 images/s
[03/19 09:21:37] ppdet.engine INFO: Epoch: [183] [ 20/458] learning_rate: 0.106137 loss_vfl: 1.075251 loss_bbox: 0.479893 loss_dfl: 0.439350 loss: 1.987043 eta: 12:40:49 batch_cost: 0.6131 data_cost: 0.0033 ips: 104.3882 images/s
[03/19 09:21:53] ppdet.engine INFO: Epoch: [183] [ 40/458] learning_rate: 0.106068 loss_vfl: 1.069709 loss_bbox: 0.482306 loss_dfl: 0.445006 loss: 1.977004 eta: 12:40:30 batch_cost: 0.7008 data_cost: 0.0229 ips: 91.3188 images/s
[03/19 09:22:11] ppdet.engine INFO: Epoch: [183] [ 60/458] learning_rate: 0.105999 loss_vfl: 1.081430 loss_bbox: 0.466646 loss_dfl: 0.442313 loss: 1.971174 eta: 12:40:12 batch_cost: 0.7921 data_cost: 0.0025 ips: 80.7930 images/s
[03/19 09:22:32] ppdet.engine INFO: Epoch: [183] [ 80/458] learning_rate: 0.105930 loss_vfl: 1.053351 loss_bbox: 0.471849 loss_dfl: 0.439708 loss: 1.972958 eta: 12:39:55 batch_cost: 0.9048 data_cost: 0.0013 ips: 70.7368 images/s
[03/19 09:22:50] ppdet.engine INFO: Epoch: [183] [100/458] learning_rate: 0.105861 loss_vfl: 1.075102 loss_bbox: 0.471592 loss_dfl: 0.437118 loss: 1.993500 eta: 12:39:38 batch_cost: 0.7847 data_cost: 0.0034 ips: 81.5629 images/s
[03/19 09:23:09] ppdet.engine INFO: Epoch: [183] [120/458] learning_rate: 0.105792 loss_vfl: 1.029961 loss_bbox: 0.450041 loss_dfl: 0.420870 loss: 1.926722 eta: 12:39:20 batch_cost: 0.8434 data_cost: 0.0025 ips: 75.8806 images/s
[03/19 09:23:29] ppdet.engine INFO: Epoch: [183] [140/458] learning_rate: 0.105723 loss_vfl: 1.039341 loss_bbox: 0.470643 loss_dfl: 0.420685 loss: 1.931208 eta: 12:39:04 batch_cost: 0.9233 data_cost: 0.0025 ips: 69.3148 images/s
[03/19 09:23:48] ppdet.engine INFO: Epoch: [183] [160/458] learning_rate: 0.105654 loss_vfl: 1.045979 loss_bbox: 0.466249 loss_dfl: 0.424113 loss: 1.953352 eta: 12:38:48 batch_cost: 0.8944 data_cost: 0.0058 ips: 71.5540 images/s
[03/19 09:24:09] ppdet.engine INFO: Epoch: [183] [180/458] learning_rate: 0.105585 loss_vfl: 1.000977 loss_bbox: 0.446936 loss_dfl: 0.415367 loss: 1.859592 eta: 12:38:32 batch_cost: 0.9770 data_cost: 0.0012 ips: 65.5036 images/s
[03/19 09:24:29] ppdet.engine INFO: Epoch: [183] [200/458] learning_rate: 0.105516 loss_vfl: 1.052053 loss_bbox: 0.471849 loss_dfl: 0.429723 loss: 1.931619 eta: 12:38:16 batch_cost: 0.8801 data_cost: 0.0090 ips: 72.7210 images/s
[03/19 09:24:48] ppdet.engine INFO: Epoch: [183] [220/458] learning_rate: 0.105447 loss_vfl: 1.014742 loss_bbox: 0.460034 loss_dfl: 0.424804 loss: 1.896511 eta: 12:37:59 batch_cost: 0.8686 data_cost: 0.0015 ips: 73.6841 images/s
[03/19 09:25:08] ppdet.engine INFO: Epoch: [183] [240/458] learning_rate: 0.105378 loss_vfl: 1.018099 loss_bbox: 0.454798 loss_dfl: 0.429614 loss: 1.925830 eta: 12:37:43 batch_cost: 0.9235 data_cost: 0.0022 ips: 69.2990 images/s
[03/19 09:25:28] ppdet.engine INFO: Epoch: [183] [260/458] learning_rate: 0.105309 loss_vfl: 0.969635 loss_bbox: 0.443609 loss_dfl: 0.406414 loss: 1.820547 eta: 12:37:26 batch_cost: 0.8916 data_cost: 0.0023 ips: 71.7812 images/s
[03/19 09:25:49] ppdet.engine INFO: Epoch: [183] [280/458] learning_rate: 0.105240 loss_vfl: 1.030393 loss_bbox: 0.462125 loss_dfl: 0.432027 loss: 1.937927 eta: 12:37:10 batch_cost: 0.9597 data_cost: 0.0040 ips: 66.6877 images/s
[03/19 09:26:07] ppdet.engine INFO: Epoch: [183] [300/458] learning_rate: 0.105171 loss_vfl: 1.059304 loss_bbox: 0.467890 loss_dfl: 0.426829 loss: 1.926439 eta: 12:36:53 batch_cost: 0.8366 data_cost: 0.0017 ips: 76.5005 images/s
[03/19 09:26:27] ppdet.engine INFO: Epoch: [183] [320/458] learning_rate: 0.105102 loss_vfl: 1.067393 loss_bbox: 0.472584 loss_dfl: 0.443353 loss: 1.983224 eta: 12:36:37 batch_cost: 0.9170 data_cost: 0.0050 ips: 69.7916 images/s
[03/19 09:26:47] ppdet.engine INFO: Epoch: [183] [340/458] learning_rate: 0.105033 loss_vfl: 1.075172 loss_bbox: 0.486259 loss_dfl: 0.460120 loss: 2.035227 eta: 12:36:21 batch_cost: 0.9242 data_cost: 0.0022 ips: 69.2485 images/s
[03/19 09:27:09] ppdet.engine INFO: Epoch: [183] [360/458] learning_rate: 0.104965 loss_vfl: 1.001590 loss_bbox: 0.469409 loss_dfl: 0.428465 loss: 1.911008 eta: 12:36:06 batch_cost: 0.9979 data_cost: 0.0027 ips: 64.1373 images/s
[03/19 09:27:28] ppdet.engine INFO: Epoch: [183] [380/458] learning_rate: 0.104896 loss_vfl: 1.068796 loss_bbox: 0.465181 loss_dfl: 0.425417 loss: 1.964053 eta: 12:35:49 batch_cost: 0.8813 data_cost: 0.0030 ips: 72.6170 images/s
[03/19 09:27:48] ppdet.engine INFO: Epoch: [183] [400/458] learning_rate: 0.104827 loss_vfl: 0.979383 loss_bbox: 0.446249 loss_dfl: 0.413993 loss: 1.839206 eta: 12:35:33 batch_cost: 0.9379 data_cost: 0.0031 ips: 68.2359 images/s
[03/19 09:28:10] ppdet.engine INFO: Epoch: [183] [420/458] learning_rate: 0.104758 loss_vfl: 0.999545 loss_bbox: 0.452260 loss_dfl: 0.417436 loss: 1.857461 eta: 12:35:17 batch_cost: 0.9761 data_cost: 0.0027 ips: 65.5685 images/s
[03/19 09:28:29] ppdet.engine INFO: Epoch: [183] [440/458] learning_rate: 0.104689 loss_vfl: 1.058732 loss_bbox: 0.486008 loss_dfl: 0.445304 loss: 1.987123 eta: 12:35:01 batch_cost: 0.8731 data_cost: 0.0050 ips: 73.3034 images/s
[03/19 09:28:50] ppdet.engine INFO: Epoch: [184] [  0/458] learning_rate: 0.104627 loss_vfl: 1.014772 loss_bbox: 0.464976 loss_dfl: 0.434434 loss: 1.917161 eta: 12:34:47 batch_cost: 0.9875 data_cost: 0.3147 ips: 64.8072 images/s
[03/19 09:29:04] ppdet.engine INFO: Epoch: [184] [ 20/458] learning_rate: 0.104559 loss_vfl: 1.050588 loss_bbox: 0.482503 loss_dfl: 0.440870 loss: 1.971185 eta: 12:34:27 batch_cost: 0.5987 data_cost: 0.0038 ips: 106.8958 images/s
[03/19 09:29:21] ppdet.engine INFO: Epoch: [184] [ 40/458] learning_rate: 0.104490 loss_vfl: 1.024647 loss_bbox: 0.491791 loss_dfl: 0.441473 loss: 1.953337 eta: 12:34:09 batch_cost: 0.7262 data_cost: 0.0050 ips: 88.1243 images/s
[03/19 09:29:44] ppdet.engine INFO: Epoch: [184] [ 60/458] learning_rate: 0.104421 loss_vfl: 1.039866 loss_bbox: 0.480165 loss_dfl: 0.441149 loss: 1.977768 eta: 12:33:54 batch_cost: 1.0795 data_cost: 0.0003 ips: 59.2848 images/s
[03/19 09:30:04] ppdet.engine INFO: Epoch: [184] [ 80/458] learning_rate: 0.104352 loss_vfl: 1.031600 loss_bbox: 0.456207 loss_dfl: 0.430510 loss: 1.941082 eta: 12:33:37 batch_cost: 0.8512 data_cost: 0.0010 ips: 75.1887 images/s
[03/19 09:30:22] ppdet.engine INFO: Epoch: [184] [100/458] learning_rate: 0.104283 loss_vfl: 1.062570 loss_bbox: 0.469566 loss_dfl: 0.443063 loss: 1.980876 eta: 12:33:20 batch_cost: 0.8164 data_cost: 0.0031 ips: 78.3956 images/s
[03/19 09:30:40] ppdet.engine INFO: Epoch: [184] [120/458] learning_rate: 0.104215 loss_vfl: 1.020856 loss_bbox: 0.485384 loss_dfl: 0.436649 loss: 1.944437 eta: 12:33:02 batch_cost: 0.8230 data_cost: 0.0027 ips: 77.7635 images/s
[03/19 09:31:02] ppdet.engine INFO: Epoch: [184] [140/458] learning_rate: 0.104146 loss_vfl: 1.073555 loss_bbox: 0.474745 loss_dfl: 0.442323 loss: 1.981688 eta: 12:32:47 batch_cost: 0.9905 data_cost: 0.0049 ips: 64.6135 images/s
[03/19 09:31:23] ppdet.engine INFO: Epoch: [184] [160/458] learning_rate: 0.104077 loss_vfl: 1.008903 loss_bbox: 0.457747 loss_dfl: 0.414530 loss: 1.874531 eta: 12:32:32 batch_cost: 0.9845 data_cost: 0.0011 ips: 65.0106 images/s
[03/19 09:31:40] ppdet.engine INFO: Epoch: [184] [180/458] learning_rate: 0.104009 loss_vfl: 1.011784 loss_bbox: 0.442819 loss_dfl: 0.409545 loss: 1.852576 eta: 12:32:13 batch_cost: 0.7616 data_cost: 0.0010 ips: 84.0366 images/s
[03/19 09:32:00] ppdet.engine INFO: Epoch: [184] [200/458] learning_rate: 0.103940 loss_vfl: 1.008350 loss_bbox: 0.454578 loss_dfl: 0.416842 loss: 1.880986 eta: 12:31:57 batch_cost: 0.8758 data_cost: 0.0016 ips: 73.0799 images/s
[03/19 09:32:20] ppdet.engine INFO: Epoch: [184] [220/458] learning_rate: 0.103871 loss_vfl: 1.056691 loss_bbox: 0.468518 loss_dfl: 0.441816 loss: 1.956504 eta: 12:31:41 batch_cost: 0.9235 data_cost: 0.0015 ips: 69.3003 images/s
[03/19 09:32:42] ppdet.engine INFO: Epoch: [184] [240/458] learning_rate: 0.103803 loss_vfl: 1.029488 loss_bbox: 0.465846 loss_dfl: 0.434798 loss: 1.951728 eta: 12:31:26 batch_cost: 1.0261 data_cost: 0.0067 ips: 62.3730 images/s
[03/19 09:33:03] ppdet.engine INFO: Epoch: [184] [260/458] learning_rate: 0.103734 loss_vfl: 0.996575 loss_bbox: 0.452046 loss_dfl: 0.420873 loss: 1.887665 eta: 12:31:09 batch_cost: 0.9058 data_cost: 0.0003 ips: 70.6535 images/s
[03/19 09:33:22] ppdet.engine INFO: Epoch: [184] [280/458] learning_rate: 0.103665 loss_vfl: 1.039662 loss_bbox: 0.470441 loss_dfl: 0.436969 loss: 1.933042 eta: 12:30:53 batch_cost: 0.8753 data_cost: 0.0027 ips: 73.1149 images/s
[03/19 09:33:43] ppdet.engine INFO: Epoch: [184] [300/458] learning_rate: 0.103597 loss_vfl: 1.036218 loss_bbox: 0.458960 loss_dfl: 0.427914 loss: 1.911554 eta: 12:30:37 batch_cost: 0.9500 data_cost: 0.0035 ips: 67.3695 images/s
[03/19 09:34:05] ppdet.engine INFO: Epoch: [184] [320/458] learning_rate: 0.103528 loss_vfl: 1.015030 loss_bbox: 0.464166 loss_dfl: 0.426281 loss: 1.897538 eta: 12:30:22 batch_cost: 1.0083 data_cost: 0.0058 ips: 63.4739 images/s
[03/19 09:34:23] ppdet.engine INFO: Epoch: [184] [340/458] learning_rate: 0.103459 loss_vfl: 1.087471 loss_bbox: 0.494909 loss_dfl: 0.451206 loss: 2.017980 eta: 12:30:04 batch_cost: 0.8215 data_cost: 0.0055 ips: 77.9044 images/s
[03/19 09:34:41] ppdet.engine INFO: Epoch: [184] [360/458] learning_rate: 0.103391 loss_vfl: 1.072844 loss_bbox: 0.470331 loss_dfl: 0.442526 loss: 1.968902 eta: 12:29:47 batch_cost: 0.8026 data_cost: 0.0021 ips: 79.7452 images/s
[03/19 09:35:02] ppdet.engine INFO: Epoch: [184] [380/458] learning_rate: 0.103322 loss_vfl: 1.034002 loss_bbox: 0.445448 loss_dfl: 0.418573 loss: 1.899899 eta: 12:29:30 batch_cost: 0.9175 data_cost: 0.0030 ips: 69.7541 images/s
[03/19 09:35:23] ppdet.engine INFO: Epoch: [184] [400/458] learning_rate: 0.103254 loss_vfl: 1.016370 loss_bbox: 0.460436 loss_dfl: 0.419176 loss: 1.903045 eta: 12:29:15 batch_cost: 0.9820 data_cost: 0.0005 ips: 65.1741 images/s
[03/19 09:35:42] ppdet.engine INFO: Epoch: [184] [420/458] learning_rate: 0.103185 loss_vfl: 1.030430 loss_bbox: 0.454218 loss_dfl: 0.422151 loss: 1.927949 eta: 12:28:58 batch_cost: 0.8683 data_cost: 0.0011 ips: 73.7092 images/s
[03/19 09:35:59] ppdet.engine INFO: Epoch: [184] [440/458] learning_rate: 0.103117 loss_vfl: 1.030278 loss_bbox: 0.463077 loss_dfl: 0.434514 loss: 1.925998 eta: 12:28:39 batch_cost: 0.7130 data_cost: 0.0025 ips: 89.7575 images/s
[03/19 09:36:17] ppdet.engine INFO: Epoch: [185] [  0/458] learning_rate: 0.103055 loss_vfl: 1.077821 loss_bbox: 0.491307 loss_dfl: 0.444390 loss: 1.993266 eta: 12:28:24 batch_cost: 0.8950 data_cost: 0.1963 ips: 71.5094 images/s
[03/19 09:36:30] ppdet.engine INFO: Epoch: [185] [ 20/458] learning_rate: 0.102986 loss_vfl: 1.086297 loss_bbox: 0.491436 loss_dfl: 0.451052 loss: 2.026672 eta: 12:28:03 batch_cost: 0.5340 data_cost: 0.0022 ips: 119.8576 images/s
[03/19 09:36:48] ppdet.engine INFO: Epoch: [185] [ 40/458] learning_rate: 0.102918 loss_vfl: 1.085801 loss_bbox: 0.484368 loss_dfl: 0.454518 loss: 2.026525 eta: 12:27:46 batch_cost: 0.8432 data_cost: 0.1452 ips: 75.8983 images/s
[03/19 09:37:11] ppdet.engine INFO: Epoch: [185] [ 60/458] learning_rate: 0.102849 loss_vfl: 1.010173 loss_bbox: 0.463042 loss_dfl: 0.435332 loss: 1.917751 eta: 12:27:31 batch_cost: 1.0194 data_cost: 0.0010 ips: 62.7829 images/s
[03/19 09:37:29] ppdet.engine INFO: Epoch: [185] [ 80/458] learning_rate: 0.102781 loss_vfl: 1.061679 loss_bbox: 0.465215 loss_dfl: 0.443709 loss: 1.965835 eta: 12:27:14 batch_cost: 0.8467 data_cost: 0.0069 ips: 75.5876 images/s
[03/19 09:37:50] ppdet.engine INFO: Epoch: [185] [100/458] learning_rate: 0.102712 loss_vfl: 1.037828 loss_bbox: 0.474228 loss_dfl: 0.437457 loss: 1.945145 eta: 12:26:58 batch_cost: 0.9243 data_cost: 0.0050 ips: 69.2452 images/s
[03/19 09:38:11] ppdet.engine INFO: Epoch: [185] [120/458] learning_rate: 0.102644 loss_vfl: 1.026422 loss_bbox: 0.465042 loss_dfl: 0.414270 loss: 1.885217 eta: 12:26:43 batch_cost: 1.0000 data_cost: 0.0021 ips: 63.9996 images/s
[03/19 09:38:30] ppdet.engine INFO: Epoch: [185] [140/458] learning_rate: 0.102576 loss_vfl: 1.039676 loss_bbox: 0.458062 loss_dfl: 0.430881 loss: 1.937796 eta: 12:26:26 batch_cost: 0.8670 data_cost: 0.0021 ips: 73.8153 images/s
[03/19 09:38:52] ppdet.engine INFO: Epoch: [185] [160/458] learning_rate: 0.102507 loss_vfl: 1.034462 loss_bbox: 0.453748 loss_dfl: 0.428257 loss: 1.926217 eta: 12:26:11 batch_cost: 1.0276 data_cost: 0.0008 ips: 62.2817 images/s
[03/19 09:39:13] ppdet.engine INFO: Epoch: [185] [180/458] learning_rate: 0.102439 loss_vfl: 1.058588 loss_bbox: 0.488613 loss_dfl: 0.441289 loss: 1.996961 eta: 12:25:55 batch_cost: 0.9681 data_cost: 0.0018 ips: 66.1088 images/s
[03/19 09:39:32] ppdet.engine INFO: Epoch: [185] [200/458] learning_rate: 0.102370 loss_vfl: 0.999458 loss_bbox: 0.439672 loss_dfl: 0.421674 loss: 1.837379 eta: 12:25:38 batch_cost: 0.8486 data_cost: 0.0023 ips: 75.4151 images/s
[03/19 09:39:55] ppdet.engine INFO: Epoch: [185] [220/458] learning_rate: 0.102302 loss_vfl: 0.994674 loss_bbox: 0.429522 loss_dfl: 0.408054 loss: 1.822158 eta: 12:25:24 batch_cost: 1.0645 data_cost: 0.0010 ips: 60.1242 images/s
[03/19 09:40:14] ppdet.engine INFO: Epoch: [185] [240/458] learning_rate: 0.102234 loss_vfl: 1.052259 loss_bbox: 0.474274 loss_dfl: 0.437565 loss: 1.947026 eta: 12:25:07 batch_cost: 0.8799 data_cost: 0.0032 ips: 72.7355 images/s
[03/19 09:40:30] ppdet.engine INFO: Epoch: [185] [260/458] learning_rate: 0.102165 loss_vfl: 1.039675 loss_bbox: 0.452002 loss_dfl: 0.423710 loss: 1.892911 eta: 12:24:49 batch_cost: 0.7400 data_cost: 0.0003 ips: 86.4905 images/s
[03/19 09:40:52] ppdet.engine INFO: Epoch: [185] [280/458] learning_rate: 0.102097 loss_vfl: 1.010382 loss_bbox: 0.446064 loss_dfl: 0.417144 loss: 1.883745 eta: 12:24:33 batch_cost: 1.0120 data_cost: 0.0043 ips: 63.2407 images/s
[03/19 09:41:12] ppdet.engine INFO: Epoch: [185] [300/458] learning_rate: 0.102028 loss_vfl: 1.034791 loss_bbox: 0.451174 loss_dfl: 0.418795 loss: 1.910108 eta: 12:24:17 batch_cost: 0.8918 data_cost: 0.0007 ips: 71.7667 images/s
[03/19 09:41:31] ppdet.engine INFO: Epoch: [185] [320/458] learning_rate: 0.101960 loss_vfl: 1.017700 loss_bbox: 0.448291 loss_dfl: 0.424986 loss: 1.897664 eta: 12:24:00 batch_cost: 0.8917 data_cost: 0.0023 ips: 71.7703 images/s
[03/19 09:41:51] ppdet.engine INFO: Epoch: [185] [340/458] learning_rate: 0.101892 loss_vfl: 1.101992 loss_bbox: 0.492629 loss_dfl: 0.443708 loss: 2.050555 eta: 12:23:44 batch_cost: 0.9288 data_cost: 0.0009 ips: 68.9036 images/s
[03/19 09:42:11] ppdet.engine INFO: Epoch: [185] [360/458] learning_rate: 0.101823 loss_vfl: 1.019516 loss_bbox: 0.450481 loss_dfl: 0.425584 loss: 1.895119 eta: 12:23:28 batch_cost: 0.8993 data_cost: 0.0022 ips: 71.1662 images/s
[03/19 09:42:30] ppdet.engine INFO: Epoch: [185] [380/458] learning_rate: 0.101755 loss_vfl: 1.016836 loss_bbox: 0.448962 loss_dfl: 0.425331 loss: 1.894106 eta: 12:23:11 batch_cost: 0.8645 data_cost: 0.0036 ips: 74.0306 images/s
[03/19 09:42:51] ppdet.engine INFO: Epoch: [185] [400/458] learning_rate: 0.101687 loss_vfl: 1.064873 loss_bbox: 0.477944 loss_dfl: 0.438075 loss: 1.951097 eta: 12:22:55 batch_cost: 0.9326 data_cost: 0.0018 ips: 68.6277 images/s
[03/19 09:43:11] ppdet.engine INFO: Epoch: [185] [420/458] learning_rate: 0.101619 loss_vfl: 1.025468 loss_bbox: 0.477418 loss_dfl: 0.433505 loss: 1.944343 eta: 12:22:39 batch_cost: 0.9416 data_cost: 0.0008 ips: 67.9684 images/s
[03/19 09:43:27] ppdet.engine INFO: Epoch: [185] [440/458] learning_rate: 0.101550 loss_vfl: 1.019690 loss_bbox: 0.464017 loss_dfl: 0.437273 loss: 1.906342 eta: 12:22:20 batch_cost: 0.6836 data_cost: 0.0032 ips: 93.6186 images/s
[03/19 09:43:46] ppdet.engine INFO: Epoch: [186] [  0/458] learning_rate: 0.101489 loss_vfl: 1.048989 loss_bbox: 0.466420 loss_dfl: 0.436228 loss: 1.958299 eta: 12:22:05 batch_cost: 0.8905 data_cost: 0.3397 ips: 71.8695 images/s
[03/19 09:44:01] ppdet.engine INFO: Epoch: [186] [ 20/458] learning_rate: 0.101421 loss_vfl: 1.027642 loss_bbox: 0.469831 loss_dfl: 0.436614 loss: 1.962593 eta: 12:21:46 batch_cost: 0.6614 data_cost: 0.0027 ips: 96.7662 images/s
[03/19 09:44:22] ppdet.engine INFO: Epoch: [186] [ 40/458] learning_rate: 0.101352 loss_vfl: 1.038562 loss_bbox: 0.472756 loss_dfl: 0.433849 loss: 1.941354 eta: 12:21:30 batch_cost: 0.9075 data_cost: 0.1642 ips: 70.5196 images/s
[03/19 09:44:42] ppdet.engine INFO: Epoch: [186] [ 60/458] learning_rate: 0.101284 loss_vfl: 1.049180 loss_bbox: 0.470335 loss_dfl: 0.445800 loss: 1.958730 eta: 12:21:13 batch_cost: 0.8622 data_cost: 0.1021 ips: 74.2311 images/s
[03/19 09:45:01] ppdet.engine INFO: Epoch: [186] [ 80/458] learning_rate: 0.101216 loss_vfl: 1.027405 loss_bbox: 0.466200 loss_dfl: 0.435660 loss: 1.931011 eta: 12:20:55 batch_cost: 0.8213 data_cost: 0.1537 ips: 77.9291 images/s
[03/19 09:45:21] ppdet.engine INFO: Epoch: [186] [100/458] learning_rate: 0.101148 loss_vfl: 1.034852 loss_bbox: 0.472477 loss_dfl: 0.433642 loss: 1.944184 eta: 12:20:39 batch_cost: 0.9218 data_cost: 0.3399 ips: 69.4317 images/s
[03/19 09:45:43] ppdet.engine INFO: Epoch: [186] [120/458] learning_rate: 0.101080 loss_vfl: 1.073120 loss_bbox: 0.469640 loss_dfl: 0.435547 loss: 1.958996 eta: 12:20:24 batch_cost: 0.9842 data_cost: 0.3642 ips: 65.0274 images/s
[03/19 09:45:59] ppdet.engine INFO: Epoch: [186] [140/458] learning_rate: 0.101011 loss_vfl: 1.071607 loss_bbox: 0.458666 loss_dfl: 0.434248 loss: 1.977214 eta: 12:20:05 batch_cost: 0.7224 data_cost: 0.0909 ips: 88.5934 images/s
[03/19 09:46:20] ppdet.engine INFO: Epoch: [186] [160/458] learning_rate: 0.100943 loss_vfl: 1.016092 loss_bbox: 0.459675 loss_dfl: 0.419046 loss: 1.889476 eta: 12:19:49 batch_cost: 0.9583 data_cost: 0.2655 ips: 66.7853 images/s
[03/19 09:46:40] ppdet.engine INFO: Epoch: [186] [180/458] learning_rate: 0.100875 loss_vfl: 1.012954 loss_bbox: 0.456526 loss_dfl: 0.431675 loss: 1.915021 eta: 12:19:33 batch_cost: 0.9265 data_cost: 0.3351 ips: 69.0753 images/s
[03/19 09:46:58] ppdet.engine INFO: Epoch: [186] [200/458] learning_rate: 0.100807 loss_vfl: 0.967280 loss_bbox: 0.445489 loss_dfl: 0.411062 loss: 1.810858 eta: 12:19:16 batch_cost: 0.8315 data_cost: 0.1523 ips: 76.9661 images/s
[03/19 09:47:17] ppdet.engine INFO: Epoch: [186] [220/458] learning_rate: 0.100739 loss_vfl: 1.011126 loss_bbox: 0.471809 loss_dfl: 0.422593 loss: 1.909625 eta: 12:18:59 batch_cost: 0.8447 data_cost: 0.1839 ips: 75.7669 images/s
[03/19 09:47:37] ppdet.engine INFO: Epoch: [186] [240/458] learning_rate: 0.100671 loss_vfl: 1.054404 loss_bbox: 0.480341 loss_dfl: 0.434966 loss: 1.962315 eta: 12:18:42 batch_cost: 0.8601 data_cost: 0.0655 ips: 74.4088 images/s
[03/19 09:47:56] ppdet.engine INFO: Epoch: [186] [260/458] learning_rate: 0.100603 loss_vfl: 1.077228 loss_bbox: 0.476801 loss_dfl: 0.445032 loss: 2.006340 eta: 12:18:25 batch_cost: 0.8500 data_cost: 0.0510 ips: 75.2982 images/s
[03/19 09:48:15] ppdet.engine INFO: Epoch: [186] [280/458] learning_rate: 0.100535 loss_vfl: 0.995076 loss_bbox: 0.419819 loss_dfl: 0.406388 loss: 1.831408 eta: 12:18:06 batch_cost: 0.7438 data_cost: 0.0937 ips: 86.0504 images/s
[03/19 09:48:36] ppdet.engine INFO: Epoch: [186] [300/458] learning_rate: 0.100467 loss_vfl: 1.058854 loss_bbox: 0.472943 loss_dfl: 0.441489 loss: 1.961989 eta: 12:17:49 batch_cost: 0.8685 data_cost: 0.1891 ips: 73.6865 images/s
[03/19 09:48:55] ppdet.engine INFO: Epoch: [186] [320/458] learning_rate: 0.100399 loss_vfl: 1.009193 loss_bbox: 0.450412 loss_dfl: 0.423870 loss: 1.879261 eta: 12:17:32 batch_cost: 0.8651 data_cost: 0.1090 ips: 73.9766 images/s
[03/19 09:49:14] ppdet.engine INFO: Epoch: [186] [340/458] learning_rate: 0.100330 loss_vfl: 0.992970 loss_bbox: 0.456595 loss_dfl: 0.419312 loss: 1.868878 eta: 12:17:15 batch_cost: 0.8451 data_cost: 0.0036 ips: 75.7305 images/s
[03/19 09:49:33] ppdet.engine INFO: Epoch: [186] [360/458] learning_rate: 0.100262 loss_vfl: 0.987582 loss_bbox: 0.441473 loss_dfl: 0.413216 loss: 1.857068 eta: 12:16:58 batch_cost: 0.8121 data_cost: 0.0013 ips: 78.8110 images/s
[03/19 09:49:53] ppdet.engine INFO: Epoch: [186] [380/458] learning_rate: 0.100194 loss_vfl: 1.040033 loss_bbox: 0.489810 loss_dfl: 0.445909 loss: 1.974194 eta: 12:16:41 batch_cost: 0.8890 data_cost: 0.0023 ips: 71.9875 images/s
[03/19 09:50:12] ppdet.engine INFO: Epoch: [186] [400/458] learning_rate: 0.100126 loss_vfl: 1.034812 loss_bbox: 0.461332 loss_dfl: 0.422760 loss: 1.906734 eta: 12:16:24 batch_cost: 0.8478 data_cost: 0.0012 ips: 75.4911 images/s
[03/19 09:50:32] ppdet.engine INFO: Epoch: [186] [420/458] learning_rate: 0.100058 loss_vfl: 0.999987 loss_bbox: 0.462624 loss_dfl: 0.415842 loss: 1.879044 eta: 12:16:07 batch_cost: 0.8507 data_cost: 0.0023 ips: 75.2313 images/s
[03/19 09:50:47] ppdet.engine INFO: Epoch: [186] [440/458] learning_rate: 0.099990 loss_vfl: 0.997654 loss_bbox: 0.438601 loss_dfl: 0.419914 loss: 1.857507 eta: 12:15:47 batch_cost: 0.6423 data_cost: 0.0606 ips: 99.6488 images/s
[03/19 09:51:06] ppdet.engine INFO: Epoch: [187] [  0/458] learning_rate: 0.099929 loss_vfl: 1.036327 loss_bbox: 0.460500 loss_dfl: 0.432127 loss: 1.932759 eta: 12:15:32 batch_cost: 0.8691 data_cost: 0.3666 ips: 73.6430 images/s
[03/19 09:51:23] ppdet.engine INFO: Epoch: [187] [ 20/458] learning_rate: 0.099861 loss_vfl: 1.025785 loss_bbox: 0.472652 loss_dfl: 0.437574 loss: 1.943470 eta: 12:15:13 batch_cost: 0.6914 data_cost: 0.0009 ips: 92.5676 images/s
[03/19 09:51:43] ppdet.engine INFO: Epoch: [187] [ 40/458] learning_rate: 0.099793 loss_vfl: 1.076609 loss_bbox: 0.481777 loss_dfl: 0.450377 loss: 2.004229 eta: 12:14:57 batch_cost: 0.8613 data_cost: 0.2417 ips: 74.3056 images/s
[03/19 09:52:06] ppdet.engine INFO: Epoch: [187] [ 60/458] learning_rate: 0.099725 loss_vfl: 1.050036 loss_bbox: 0.460120 loss_dfl: 0.434073 loss: 1.927461 eta: 12:14:42 batch_cost: 1.0871 data_cost: 0.4910 ips: 58.8724 images/s
[03/19 09:52:27] ppdet.engine INFO: Epoch: [187] [ 80/458] learning_rate: 0.099658 loss_vfl: 1.038595 loss_bbox: 0.468793 loss_dfl: 0.436386 loss: 1.961458 eta: 12:14:26 batch_cost: 0.8795 data_cost: 0.3157 ips: 72.7707 images/s
[03/19 09:52:45] ppdet.engine INFO: Epoch: [187] [100/458] learning_rate: 0.099590 loss_vfl: 1.074478 loss_bbox: 0.472072 loss_dfl: 0.444079 loss: 1.974669 eta: 12:14:07 batch_cost: 0.7609 data_cost: 0.1829 ips: 84.1115 images/s
[03/19 09:53:05] ppdet.engine INFO: Epoch: [187] [120/458] learning_rate: 0.099522 loss_vfl: 1.032657 loss_bbox: 0.464304 loss_dfl: 0.431330 loss: 1.900465 eta: 12:13:50 batch_cost: 0.7925 data_cost: 0.1177 ips: 80.7568 images/s
[03/19 09:53:24] ppdet.engine INFO: Epoch: [187] [140/458] learning_rate: 0.099454 loss_vfl: 1.056279 loss_bbox: 0.466865 loss_dfl: 0.440570 loss: 1.985328 eta: 12:13:33 batch_cost: 0.8718 data_cost: 0.0020 ips: 73.4154 images/s
[03/19 09:53:43] ppdet.engine INFO: Epoch: [187] [160/458] learning_rate: 0.099386 loss_vfl: 1.017713 loss_bbox: 0.440933 loss_dfl: 0.413605 loss: 1.879201 eta: 12:13:15 batch_cost: 0.8029 data_cost: 0.0037 ips: 79.7090 images/s
[03/19 09:54:04] ppdet.engine INFO: Epoch: [187] [180/458] learning_rate: 0.099318 loss_vfl: 1.022149 loss_bbox: 0.454901 loss_dfl: 0.425697 loss: 1.914957 eta: 12:12:59 batch_cost: 0.9386 data_cost: 0.1617 ips: 68.1848 images/s
[03/19 09:54:24] ppdet.engine INFO: Epoch: [187] [200/458] learning_rate: 0.099250 loss_vfl: 1.035884 loss_bbox: 0.479173 loss_dfl: 0.435055 loss: 1.952019 eta: 12:12:42 batch_cost: 0.8661 data_cost: 0.1481 ips: 73.8903 images/s
[03/19 09:54:46] ppdet.engine INFO: Epoch: [187] [220/458] learning_rate: 0.099182 loss_vfl: 0.980474 loss_bbox: 0.428099 loss_dfl: 0.404750 loss: 1.811790 eta: 12:12:27 batch_cost: 1.0003 data_cost: 0.0035 ips: 63.9824 images/s
[03/19 09:55:05] ppdet.engine INFO: Epoch: [187] [240/458] learning_rate: 0.099115 loss_vfl: 1.039484 loss_bbox: 0.468224 loss_dfl: 0.433309 loss: 1.945040 eta: 12:12:10 batch_cost: 0.8503 data_cost: 0.0014 ips: 75.2689 images/s
[03/19 09:55:24] ppdet.engine INFO: Epoch: [187] [260/458] learning_rate: 0.099047 loss_vfl: 1.047375 loss_bbox: 0.458871 loss_dfl: 0.424337 loss: 1.941863 eta: 12:11:53 batch_cost: 0.8327 data_cost: 0.0022 ips: 76.8541 images/s
[03/19 09:55:45] ppdet.engine INFO: Epoch: [187] [280/458] learning_rate: 0.098979 loss_vfl: 1.049546 loss_bbox: 0.489058 loss_dfl: 0.439783 loss: 1.981560 eta: 12:11:37 batch_cost: 0.9677 data_cost: 0.0430 ips: 66.1355 images/s
[03/19 09:56:06] ppdet.engine INFO: Epoch: [187] [300/458] learning_rate: 0.098911 loss_vfl: 1.039491 loss_bbox: 0.462585 loss_dfl: 0.441806 loss: 1.953884 eta: 12:11:21 batch_cost: 0.9329 data_cost: 0.1137 ips: 68.6014 images/s
[03/19 09:56:25] ppdet.engine INFO: Epoch: [187] [320/458] learning_rate: 0.098843 loss_vfl: 0.988215 loss_bbox: 0.421198 loss_dfl: 0.408177 loss: 1.808552 eta: 12:11:03 batch_cost: 0.8153 data_cost: 0.2077 ips: 78.5027 images/s
[03/19 09:56:44] ppdet.engine INFO: Epoch: [187] [340/458] learning_rate: 0.098776 loss_vfl: 1.025858 loss_bbox: 0.457308 loss_dfl: 0.427851 loss: 1.935882 eta: 12:10:46 batch_cost: 0.8275 data_cost: 0.0709 ips: 77.3383 images/s
[03/19 09:57:04] ppdet.engine INFO: Epoch: [187] [360/458] learning_rate: 0.098708 loss_vfl: 1.006688 loss_bbox: 0.449401 loss_dfl: 0.418828 loss: 1.869025 eta: 12:10:29 batch_cost: 0.8490 data_cost: 0.0106 ips: 75.3854 images/s
[03/19 09:57:25] ppdet.engine INFO: Epoch: [187] [380/458] learning_rate: 0.098640 loss_vfl: 0.987832 loss_bbox: 0.440915 loss_dfl: 0.413851 loss: 1.859090 eta: 12:10:12 batch_cost: 0.9012 data_cost: 0.0029 ips: 71.0183 images/s
[03/19 09:57:39] ppdet.engine INFO: Epoch: [187] [400/458] learning_rate: 0.098573 loss_vfl: 1.071757 loss_bbox: 0.465361 loss_dfl: 0.441869 loss: 1.986211 eta: 12:09:52 batch_cost: 0.6076 data_cost: 0.0026 ips: 105.3303 images/s
[03/19 09:57:56] ppdet.engine INFO: Epoch: [187] [420/458] learning_rate: 0.098505 loss_vfl: 0.962597 loss_bbox: 0.471902 loss_dfl: 0.424393 loss: 1.872408 eta: 12:09:33 batch_cost: 0.6915 data_cost: 0.0673 ips: 92.5475 images/s
[03/19 09:58:13] ppdet.engine INFO: Epoch: [187] [440/458] learning_rate: 0.098437 loss_vfl: 1.067716 loss_bbox: 0.500143 loss_dfl: 0.457909 loss: 2.003886 eta: 12:09:15 batch_cost: 0.7413 data_cost: 0.2133 ips: 86.3317 images/s
[03/19 09:58:35] ppdet.engine INFO: Epoch: [188] [  0/458] learning_rate: 0.098376 loss_vfl: 1.032348 loss_bbox: 0.474505 loss_dfl: 0.447232 loss: 1.958481 eta: 12:09:02 batch_cost: 1.0429 data_cost: 0.4475 ips: 61.3682 images/s
[03/19 09:58:56] ppdet.engine INFO: Epoch: [188] [ 20/458] learning_rate: 0.098309 loss_vfl: 0.986717 loss_bbox: 0.451635 loss_dfl: 0.421099 loss: 1.856036 eta: 12:08:47 batch_cost: 0.9793 data_cost: 0.0046 ips: 65.3521 images/s
[03/19 09:59:16] ppdet.engine INFO: Epoch: [188] [ 40/458] learning_rate: 0.098241 loss_vfl: 1.005175 loss_bbox: 0.463692 loss_dfl: 0.421113 loss: 1.907881 eta: 12:08:31 batch_cost: 0.9269 data_cost: 0.0016 ips: 69.0449 images/s
[03/19 09:59:36] ppdet.engine INFO: Epoch: [188] [ 60/458] learning_rate: 0.098173 loss_vfl: 1.042563 loss_bbox: 0.473014 loss_dfl: 0.436992 loss: 1.957052 eta: 12:08:14 batch_cost: 0.8526 data_cost: 0.0034 ips: 75.0605 images/s
[03/19 09:59:56] ppdet.engine INFO: Epoch: [188] [ 80/458] learning_rate: 0.098106 loss_vfl: 1.031865 loss_bbox: 0.441029 loss_dfl: 0.419827 loss: 1.904575 eta: 12:07:57 batch_cost: 0.9147 data_cost: 0.0031 ips: 69.9718 images/s
[03/19 10:00:16] ppdet.engine INFO: Epoch: [188] [100/458] learning_rate: 0.098038 loss_vfl: 1.030995 loss_bbox: 0.467910 loss_dfl: 0.429420 loss: 1.929903 eta: 12:07:41 batch_cost: 0.9312 data_cost: 0.0039 ips: 68.7264 images/s
[03/19 10:00:34] ppdet.engine INFO: Epoch: [188] [120/458] learning_rate: 0.097970 loss_vfl: 1.056988 loss_bbox: 0.463796 loss_dfl: 0.442113 loss: 1.968664 eta: 12:07:24 batch_cost: 0.8100 data_cost: 0.0008 ips: 79.0149 images/s
[03/19 10:00:56] ppdet.engine INFO: Epoch: [188] [140/458] learning_rate: 0.097903 loss_vfl: 1.025681 loss_bbox: 0.476817 loss_dfl: 0.433851 loss: 1.941479 eta: 12:07:09 batch_cost: 1.0218 data_cost: 0.0012 ips: 62.6328 images/s
[03/19 10:01:16] ppdet.engine INFO: Epoch: [188] [160/458] learning_rate: 0.097835 loss_vfl: 1.027677 loss_bbox: 0.462070 loss_dfl: 0.422926 loss: 1.895413 eta: 12:06:53 batch_cost: 0.9609 data_cost: 0.0032 ips: 66.6017 images/s
[03/19 10:01:37] ppdet.engine INFO: Epoch: [188] [180/458] learning_rate: 0.097768 loss_vfl: 0.936285 loss_bbox: 0.424473 loss_dfl: 0.395062 loss: 1.754832 eta: 12:06:36 batch_cost: 0.9117 data_cost: 0.0027 ips: 70.2000 images/s
[03/19 10:01:56] ppdet.engine INFO: Epoch: [188] [200/458] learning_rate: 0.097700 loss_vfl: 1.009811 loss_bbox: 0.440496 loss_dfl: 0.412912 loss: 1.872540 eta: 12:06:19 batch_cost: 0.8533 data_cost: 0.0003 ips: 75.0066 images/s
[03/19 10:02:16] ppdet.engine INFO: Epoch: [188] [220/458] learning_rate: 0.097633 loss_vfl: 1.039097 loss_bbox: 0.475778 loss_dfl: 0.433618 loss: 1.946855 eta: 12:06:03 batch_cost: 0.8998 data_cost: 0.0002 ips: 71.1275 images/s
[03/19 10:02:37] ppdet.engine INFO: Epoch: [188] [240/458] learning_rate: 0.097565 loss_vfl: 1.057790 loss_bbox: 0.479164 loss_dfl: 0.442748 loss: 2.008328 eta: 12:05:47 batch_cost: 0.9632 data_cost: 0.0018 ips: 66.4456 images/s
[03/19 10:02:58] ppdet.engine INFO: Epoch: [188] [260/458] learning_rate: 0.097498 loss_vfl: 1.039552 loss_bbox: 0.463487 loss_dfl: 0.425535 loss: 1.903677 eta: 12:05:31 batch_cost: 0.9383 data_cost: 0.0008 ips: 68.2097 images/s
[03/19 10:03:13] ppdet.engine INFO: Epoch: [188] [280/458] learning_rate: 0.097430 loss_vfl: 1.014703 loss_bbox: 0.463010 loss_dfl: 0.437557 loss: 1.923496 eta: 12:05:12 batch_cost: 0.7038 data_cost: 0.0036 ips: 90.9376 images/s
[03/19 10:03:36] ppdet.engine INFO: Epoch: [188] [300/458] learning_rate: 0.097363 loss_vfl: 1.049760 loss_bbox: 0.461733 loss_dfl: 0.430628 loss: 1.979155 eta: 12:04:57 batch_cost: 1.0138 data_cost: 0.0014 ips: 63.1292 images/s
[03/19 10:03:55] ppdet.engine INFO: Epoch: [188] [320/458] learning_rate: 0.097295 loss_vfl: 1.031537 loss_bbox: 0.468615 loss_dfl: 0.436072 loss: 1.933494 eta: 12:04:40 batch_cost: 0.8448 data_cost: 0.0042 ips: 75.7554 images/s
[03/19 10:04:13] ppdet.engine INFO: Epoch: [188] [340/458] learning_rate: 0.097228 loss_vfl: 1.063546 loss_bbox: 0.454646 loss_dfl: 0.432238 loss: 1.963748 eta: 12:04:22 batch_cost: 0.8027 data_cost: 0.0008 ips: 79.7358 images/s
[03/19 10:04:33] ppdet.engine INFO: Epoch: [188] [360/458] learning_rate: 0.097160 loss_vfl: 0.968194 loss_bbox: 0.433366 loss_dfl: 0.413106 loss: 1.821320 eta: 12:04:06 batch_cost: 0.9179 data_cost: 0.0021 ips: 69.7266 images/s
[03/19 10:04:52] ppdet.engine INFO: Epoch: [188] [380/458] learning_rate: 0.097093 loss_vfl: 1.049159 loss_bbox: 0.462239 loss_dfl: 0.434279 loss: 1.956614 eta: 12:03:49 batch_cost: 0.8391 data_cost: 0.0050 ips: 76.2705 images/s
[03/19 10:05:07] ppdet.engine INFO: Epoch: [188] [400/458] learning_rate: 0.097025 loss_vfl: 1.088531 loss_bbox: 0.478709 loss_dfl: 0.442660 loss: 2.014353 eta: 12:03:30 batch_cost: 0.6885 data_cost: 0.0020 ips: 92.9622 images/s
[03/19 10:05:21] ppdet.engine INFO: Epoch: [188] [420/458] learning_rate: 0.096958 loss_vfl: 1.056028 loss_bbox: 0.451866 loss_dfl: 0.423763 loss: 1.913713 eta: 12:03:10 batch_cost: 0.6093 data_cost: 0.0117 ips: 105.0321 images/s
[03/19 10:05:37] ppdet.engine INFO: Epoch: [188] [440/458] learning_rate: 0.096891 loss_vfl: 1.009647 loss_bbox: 0.441752 loss_dfl: 0.416072 loss: 1.873602 eta: 12:02:51 batch_cost: 0.7388 data_cost: 0.0043 ips: 86.6223 images/s
[03/19 10:05:59] ppdet.engine INFO: Epoch: [189] [  0/458] learning_rate: 0.096830 loss_vfl: 1.028235 loss_bbox: 0.469700 loss_dfl: 0.430557 loss: 1.946153 eta: 12:02:38 batch_cost: 1.0281 data_cost: 0.3385 ips: 62.2534 images/s
[03/19 10:06:20] ppdet.engine INFO: Epoch: [189] [ 20/458] learning_rate: 0.096763 loss_vfl: 1.021179 loss_bbox: 0.476283 loss_dfl: 0.449527 loss: 1.950566 eta: 12:02:22 batch_cost: 0.9364 data_cost: 0.0228 ips: 68.3449 images/s
[03/19 10:06:39] ppdet.engine INFO: Epoch: [189] [ 40/458] learning_rate: 0.096695 loss_vfl: 1.008042 loss_bbox: 0.464311 loss_dfl: 0.424032 loss: 1.890735 eta: 12:02:05 batch_cost: 0.8663 data_cost: 0.0016 ips: 73.8787 images/s
[03/19 10:07:00] ppdet.engine INFO: Epoch: [189] [ 60/458] learning_rate: 0.096628 loss_vfl: 1.072102 loss_bbox: 0.463349 loss_dfl: 0.424464 loss: 1.948730 eta: 12:01:50 batch_cost: 0.9760 data_cost: 0.0058 ips: 65.5710 images/s
[03/19 10:07:20] ppdet.engine INFO: Epoch: [189] [ 80/458] learning_rate: 0.096561 loss_vfl: 1.017521 loss_bbox: 0.452196 loss_dfl: 0.428468 loss: 1.900848 eta: 12:01:33 batch_cost: 0.8678 data_cost: 0.0018 ips: 73.7534 images/s
[03/19 10:07:40] ppdet.engine INFO: Epoch: [189] [100/458] learning_rate: 0.096493 loss_vfl: 1.019718 loss_bbox: 0.464681 loss_dfl: 0.431974 loss: 1.970834 eta: 12:01:17 batch_cost: 0.9307 data_cost: 0.0040 ips: 68.7634 images/s
[03/19 10:08:01] ppdet.engine INFO: Epoch: [189] [120/458] learning_rate: 0.096426 loss_vfl: 1.082620 loss_bbox: 0.495588 loss_dfl: 0.453252 loss: 2.011762 eta: 12:01:01 batch_cost: 0.9617 data_cost: 0.0033 ips: 66.5487 images/s
[03/19 10:08:21] ppdet.engine INFO: Epoch: [189] [140/458] learning_rate: 0.096359 loss_vfl: 0.987073 loss_bbox: 0.443324 loss_dfl: 0.418042 loss: 1.856953 eta: 12:00:44 batch_cost: 0.8920 data_cost: 0.0015 ips: 71.7466 images/s
[03/19 10:08:41] ppdet.engine INFO: Epoch: [189] [160/458] learning_rate: 0.096292 loss_vfl: 1.031930 loss_bbox: 0.465955 loss_dfl: 0.430139 loss: 1.930269 eta: 12:00:28 batch_cost: 0.8980 data_cost: 0.0011 ips: 71.2698 images/s
[03/19 10:09:01] ppdet.engine INFO: Epoch: [189] [180/458] learning_rate: 0.096224 loss_vfl: 1.067112 loss_bbox: 0.495716 loss_dfl: 0.448501 loss: 1.985306 eta: 12:00:11 batch_cost: 0.9252 data_cost: 0.0029 ips: 69.1775 images/s
[03/19 10:09:20] ppdet.engine INFO: Epoch: [189] [200/458] learning_rate: 0.096157 loss_vfl: 1.060027 loss_bbox: 0.481955 loss_dfl: 0.445091 loss: 1.979339 eta: 11:59:55 batch_cost: 0.8772 data_cost: 0.0008 ips: 72.9571 images/s
[03/19 10:09:42] ppdet.engine INFO: Epoch: [189] [220/458] learning_rate: 0.096090 loss_vfl: 1.064815 loss_bbox: 0.489655 loss_dfl: 0.459576 loss: 2.015843 eta: 11:59:40 batch_cost: 1.0144 data_cost: 0.0017 ips: 63.0912 images/s
[03/19 10:10:02] ppdet.engine INFO: Epoch: [189] [240/458] learning_rate: 0.096023 loss_vfl: 0.995193 loss_bbox: 0.423673 loss_dfl: 0.413176 loss: 1.831351 eta: 11:59:23 batch_cost: 0.9225 data_cost: 0.0017 ips: 69.3771 images/s
[03/19 10:10:24] ppdet.engine INFO: Epoch: [189] [260/458] learning_rate: 0.095955 loss_vfl: 1.021622 loss_bbox: 0.465816 loss_dfl: 0.436575 loss: 1.933228 eta: 11:59:08 batch_cost: 1.0365 data_cost: 0.0006 ips: 61.7464 images/s
[03/19 10:10:40] ppdet.engine INFO: Epoch: [189] [280/458] learning_rate: 0.095888 loss_vfl: 1.047361 loss_bbox: 0.474484 loss_dfl: 0.429035 loss: 1.937389 eta: 11:58:50 batch_cost: 0.7068 data_cost: 0.0015 ips: 90.5459 images/s
[03/19 10:11:03] ppdet.engine INFO: Epoch: [189] [300/458] learning_rate: 0.095821 loss_vfl: 1.013536 loss_bbox: 0.459667 loss_dfl: 0.425069 loss: 1.886539 eta: 11:58:35 batch_cost: 1.0676 data_cost: 0.0048 ips: 59.9484 images/s
[03/19 10:11:22] ppdet.engine INFO: Epoch: [189] [320/458] learning_rate: 0.095754 loss_vfl: 1.036120 loss_bbox: 0.449264 loss_dfl: 0.415909 loss: 1.899132 eta: 11:58:18 batch_cost: 0.8833 data_cost: 0.0007 ips: 72.4575 images/s
[03/19 10:11:42] ppdet.engine INFO: Epoch: [189] [340/458] learning_rate: 0.095687 loss_vfl: 1.025403 loss_bbox: 0.448319 loss_dfl: 0.424712 loss: 1.900645 eta: 11:58:02 batch_cost: 0.8986 data_cost: 0.0032 ips: 71.2184 images/s
[03/19 10:12:01] ppdet.engine INFO: Epoch: [189] [360/458] learning_rate: 0.095620 loss_vfl: 1.006371 loss_bbox: 0.461245 loss_dfl: 0.419015 loss: 1.902168 eta: 11:57:45 batch_cost: 0.8841 data_cost: 0.0038 ips: 72.3882 images/s
[03/19 10:12:14] ppdet.engine INFO: Epoch: [189] [380/458] learning_rate: 0.095552 loss_vfl: 1.029540 loss_bbox: 0.476253 loss_dfl: 0.431712 loss: 1.931562 eta: 11:57:25 batch_cost: 0.5863 data_cost: 0.0012 ips: 109.1503 images/s
[03/19 10:12:32] ppdet.engine INFO: Epoch: [189] [400/458] learning_rate: 0.095485 loss_vfl: 1.049122 loss_bbox: 0.465359 loss_dfl: 0.437139 loss: 1.955056 eta: 11:57:07 batch_cost: 0.7493 data_cost: 0.0027 ips: 85.4091 images/s
[03/19 10:12:51] ppdet.engine INFO: Epoch: [189] [420/458] learning_rate: 0.095418 loss_vfl: 1.068934 loss_bbox: 0.481876 loss_dfl: 0.442692 loss: 2.016432 eta: 11:56:50 batch_cost: 0.8726 data_cost: 0.0026 ips: 73.3476 images/s
[03/19 10:13:10] ppdet.engine INFO: Epoch: [189] [440/458] learning_rate: 0.095351 loss_vfl: 1.030118 loss_bbox: 0.463213 loss_dfl: 0.430494 loss: 1.934039 eta: 11:56:33 batch_cost: 0.8879 data_cost: 0.0020 ips: 72.0768 images/s
[03/19 10:13:23] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 10:13:23] ppdet.engine INFO: Eval iter: 0
[03/19 10:13:40] ppdet.engine INFO: Eval iter: 100
[03/19 10:13:49] ppdet.engine INFO: Eval iter: 200
[03/19 10:13:58] ppdet.engine INFO: Eval iter: 300
[03/19 10:14:07] ppdet.engine INFO: Eval iter: 400
[03/19 10:14:16] ppdet.engine INFO: Eval iter: 500
[03/19 10:14:25] ppdet.engine INFO: Eval iter: 600
[03/19 10:14:39] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.59s)
creating index...
index created!
[03/19 10:14:40] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.60s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.09s).
Accumulating evaluation results...
DONE (t=15.69s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.221
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.339
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.229
 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 ] = 0.215
 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 ] = 0.232
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.370
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.391
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.115
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.427
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.662
[03/19 10:16:19] ppdet.engine INFO: Total sample number: 4952, averge FPS: 76.3741249595174
[03/19 10:16:19] ppdet.engine INFO: Best test bbox ap is 0.221.
[03/19 10:16:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 10:16:19] ppdet.engine INFO: Epoch: [190] [  0/458] learning_rate: 0.095291 loss_vfl: 0.962073 loss_bbox: 0.411683 loss_dfl: 0.401886 loss: 1.788183 eta: 11:56:15 batch_cost: 0.5594 data_cost: 0.0012 ips: 114.4008 images/s
[03/19 10:16:34] ppdet.engine INFO: Epoch: [190] [ 20/458] learning_rate: 0.095224 loss_vfl: 1.072769 loss_bbox: 0.490410 loss_dfl: 0.446841 loss: 2.002555 eta: 11:55:55 batch_cost: 0.6258 data_cost: 0.0555 ips: 102.2765 images/s
[03/19 10:16:55] ppdet.engine INFO: Epoch: [190] [ 40/458] learning_rate: 0.095157 loss_vfl: 1.011118 loss_bbox: 0.448884 loss_dfl: 0.419749 loss: 1.868709 eta: 11:55:39 batch_cost: 0.9871 data_cost: 0.0027 ips: 64.8389 images/s
[03/19 10:17:14] ppdet.engine INFO: Epoch: [190] [ 60/458] learning_rate: 0.095090 loss_vfl: 1.017797 loss_bbox: 0.461817 loss_dfl: 0.430733 loss: 1.895053 eta: 11:55:23 batch_cost: 0.8866 data_cost: 0.0042 ips: 72.1871 images/s
[03/19 10:17:34] ppdet.engine INFO: Epoch: [190] [ 80/458] learning_rate: 0.095023 loss_vfl: 1.044057 loss_bbox: 0.466286 loss_dfl: 0.441188 loss: 1.979088 eta: 11:55:06 batch_cost: 0.8797 data_cost: 0.0018 ips: 72.7535 images/s
[03/19 10:17:54] ppdet.engine INFO: Epoch: [190] [100/458] learning_rate: 0.094956 loss_vfl: 1.065134 loss_bbox: 0.480248 loss_dfl: 0.446935 loss: 1.993609 eta: 11:54:50 batch_cost: 0.9265 data_cost: 0.0025 ips: 69.0754 images/s
[03/19 10:18:14] ppdet.engine INFO: Epoch: [190] [120/458] learning_rate: 0.094889 loss_vfl: 1.049001 loss_bbox: 0.469845 loss_dfl: 0.430314 loss: 1.944093 eta: 11:54:34 batch_cost: 0.9264 data_cost: 0.0007 ips: 69.0874 images/s
[03/19 10:18:35] ppdet.engine INFO: Epoch: [190] [140/458] learning_rate: 0.094822 loss_vfl: 1.074404 loss_bbox: 0.467553 loss_dfl: 0.437108 loss: 1.965133 eta: 11:54:17 batch_cost: 0.9279 data_cost: 0.0006 ips: 68.9759 images/s
[03/19 10:18:53] ppdet.engine INFO: Epoch: [190] [160/458] learning_rate: 0.094755 loss_vfl: 1.050329 loss_bbox: 0.460399 loss_dfl: 0.439885 loss: 1.965569 eta: 11:54:00 batch_cost: 0.8337 data_cost: 0.0044 ips: 76.7631 images/s
[03/19 10:19:05] ppdet.engine INFO: Epoch: [190] [180/458] learning_rate: 0.094688 loss_vfl: 1.024070 loss_bbox: 0.452233 loss_dfl: 0.428141 loss: 1.912586 eta: 11:53:39 batch_cost: 0.5301 data_cost: 0.0022 ips: 120.7292 images/s
[03/19 10:19:22] ppdet.engine INFO: Epoch: [190] [200/458] learning_rate: 0.094621 loss_vfl: 1.023945 loss_bbox: 0.453424 loss_dfl: 0.424893 loss: 1.887124 eta: 11:53:21 batch_cost: 0.7579 data_cost: 0.0008 ips: 84.4440 images/s
[03/19 10:19:40] ppdet.engine INFO: Epoch: [190] [220/458] learning_rate: 0.094554 loss_vfl: 1.052117 loss_bbox: 0.466290 loss_dfl: 0.437254 loss: 1.961967 eta: 11:53:03 batch_cost: 0.7850 data_cost: 0.0086 ips: 81.5335 images/s
[03/19 10:20:04] ppdet.engine INFO: Epoch: [190] [240/458] learning_rate: 0.094487 loss_vfl: 0.993322 loss_bbox: 0.436994 loss_dfl: 0.420248 loss: 1.846719 eta: 11:52:49 batch_cost: 1.1214 data_cost: 0.0007 ips: 57.0711 images/s
[03/19 10:20:23] ppdet.engine INFO: Epoch: [190] [260/458] learning_rate: 0.094420 loss_vfl: 1.070099 loss_bbox: 0.475661 loss_dfl: 0.446493 loss: 1.979884 eta: 11:52:32 batch_cost: 0.8549 data_cost: 0.0066 ips: 74.8635 images/s
[03/19 10:20:44] ppdet.engine INFO: Epoch: [190] [280/458] learning_rate: 0.094353 loss_vfl: 1.045286 loss_bbox: 0.467286 loss_dfl: 0.435573 loss: 1.949500 eta: 11:52:16 batch_cost: 0.9489 data_cost: 0.0025 ips: 67.4492 images/s
[03/19 10:21:03] ppdet.engine INFO: Epoch: [190] [300/458] learning_rate: 0.094286 loss_vfl: 1.094834 loss_bbox: 0.496554 loss_dfl: 0.458328 loss: 2.024672 eta: 11:52:00 batch_cost: 0.8956 data_cost: 0.0011 ips: 71.4568 images/s
[03/19 10:21:23] ppdet.engine INFO: Epoch: [190] [320/458] learning_rate: 0.094220 loss_vfl: 1.079631 loss_bbox: 0.474690 loss_dfl: 0.440990 loss: 1.979705 eta: 11:51:43 batch_cost: 0.8794 data_cost: 0.0035 ips: 72.7753 images/s
[03/19 10:21:40] ppdet.engine INFO: Epoch: [190] [340/458] learning_rate: 0.094153 loss_vfl: 0.970878 loss_bbox: 0.439088 loss_dfl: 0.406063 loss: 1.833812 eta: 11:51:25 batch_cost: 0.7518 data_cost: 0.0002 ips: 85.1288 images/s
[03/19 10:22:02] ppdet.engine INFO: Epoch: [190] [360/458] learning_rate: 0.094086 loss_vfl: 1.005442 loss_bbox: 0.450899 loss_dfl: 0.417801 loss: 1.859010 eta: 11:51:09 batch_cost: 0.9265 data_cost: 0.0020 ips: 69.0798 images/s
[03/19 10:22:23] ppdet.engine INFO: Epoch: [190] [380/458] learning_rate: 0.094019 loss_vfl: 1.022459 loss_bbox: 0.462103 loss_dfl: 0.421830 loss: 1.908221 eta: 11:50:53 batch_cost: 0.9697 data_cost: 0.0013 ips: 65.9992 images/s
[03/19 10:22:42] ppdet.engine INFO: Epoch: [190] [400/458] learning_rate: 0.093952 loss_vfl: 1.027333 loss_bbox: 0.455188 loss_dfl: 0.418729 loss: 1.921181 eta: 11:50:36 batch_cost: 0.8360 data_cost: 0.0019 ips: 76.5536 images/s
[03/19 10:23:02] ppdet.engine INFO: Epoch: [190] [420/458] learning_rate: 0.093885 loss_vfl: 0.973114 loss_bbox: 0.421765 loss_dfl: 0.400709 loss: 1.801330 eta: 11:50:20 batch_cost: 0.9499 data_cost: 0.0005 ips: 67.3780 images/s
[03/19 10:23:23] ppdet.engine INFO: Epoch: [190] [440/458] learning_rate: 0.093819 loss_vfl: 1.037857 loss_bbox: 0.463607 loss_dfl: 0.435274 loss: 1.927782 eta: 11:50:04 batch_cost: 0.9362 data_cost: 0.0018 ips: 68.3584 images/s
[03/19 10:23:45] ppdet.engine INFO: Epoch: [191] [  0/458] learning_rate: 0.093759 loss_vfl: 0.978678 loss_bbox: 0.436827 loss_dfl: 0.421272 loss: 1.830574 eta: 11:49:51 batch_cost: 1.2311 data_cost: 0.3413 ips: 51.9839 images/s
[03/19 10:24:05] ppdet.engine INFO: Epoch: [191] [ 20/458] learning_rate: 0.093692 loss_vfl: 1.031787 loss_bbox: 0.486210 loss_dfl: 0.433240 loss: 1.941882 eta: 11:49:34 batch_cost: 0.9088 data_cost: 0.0035 ips: 70.4196 images/s
[03/19 10:24:24] ppdet.engine INFO: Epoch: [191] [ 40/458] learning_rate: 0.093625 loss_vfl: 1.033160 loss_bbox: 0.465370 loss_dfl: 0.435274 loss: 1.912355 eta: 11:49:17 batch_cost: 0.8519 data_cost: 0.0025 ips: 75.1249 images/s
[03/19 10:24:46] ppdet.engine INFO: Epoch: [191] [ 60/458] learning_rate: 0.093558 loss_vfl: 1.036595 loss_bbox: 0.448668 loss_dfl: 0.426286 loss: 1.911242 eta: 11:49:03 batch_cost: 1.0481 data_cost: 0.0016 ips: 61.0610 images/s
[03/19 10:25:08] ppdet.engine INFO: Epoch: [191] [ 80/458] learning_rate: 0.093492 loss_vfl: 1.013194 loss_bbox: 0.456667 loss_dfl: 0.434310 loss: 1.917900 eta: 11:48:47 batch_cost: 0.9724 data_cost: 0.0013 ips: 65.8146 images/s
[03/19 10:25:29] ppdet.engine INFO: Epoch: [191] [100/458] learning_rate: 0.093425 loss_vfl: 1.001931 loss_bbox: 0.441680 loss_dfl: 0.417800 loss: 1.865772 eta: 11:48:31 batch_cost: 0.9685 data_cost: 0.0024 ips: 66.0819 images/s
[03/19 10:25:48] ppdet.engine INFO: Epoch: [191] [120/458] learning_rate: 0.093358 loss_vfl: 1.001629 loss_bbox: 0.450752 loss_dfl: 0.419544 loss: 1.884508 eta: 11:48:15 batch_cost: 0.9106 data_cost: 0.0016 ips: 70.2806 images/s
[03/19 10:26:05] ppdet.engine INFO: Epoch: [191] [140/458] learning_rate: 0.093292 loss_vfl: 1.027931 loss_bbox: 0.455923 loss_dfl: 0.434898 loss: 1.929589 eta: 11:47:56 batch_cost: 0.7485 data_cost: 0.0024 ips: 85.5007 images/s
[03/19 10:26:20] ppdet.engine INFO: Epoch: [191] [160/458] learning_rate: 0.093225 loss_vfl: 1.075330 loss_bbox: 0.468337 loss_dfl: 0.436855 loss: 1.985604 eta: 11:47:37 batch_cost: 0.6429 data_cost: 0.0006 ips: 99.5463 images/s
[03/19 10:26:36] ppdet.engine INFO: Epoch: [191] [180/458] learning_rate: 0.093158 loss_vfl: 1.018340 loss_bbox: 0.447711 loss_dfl: 0.425359 loss: 1.895202 eta: 11:47:18 batch_cost: 0.7274 data_cost: 0.0011 ips: 87.9854 images/s
[03/19 10:26:58] ppdet.engine INFO: Epoch: [191] [200/458] learning_rate: 0.093092 loss_vfl: 0.983127 loss_bbox: 0.460284 loss_dfl: 0.418456 loss: 1.835487 eta: 11:47:03 batch_cost: 1.0156 data_cost: 0.0010 ips: 63.0167 images/s
[03/19 10:27:19] ppdet.engine INFO: Epoch: [191] [220/458] learning_rate: 0.093025 loss_vfl: 0.993928 loss_bbox: 0.462278 loss_dfl: 0.422577 loss: 1.871981 eta: 11:46:47 batch_cost: 0.9361 data_cost: 0.0035 ips: 68.3685 images/s
[03/19 10:27:39] ppdet.engine INFO: Epoch: [191] [240/458] learning_rate: 0.092959 loss_vfl: 1.069277 loss_bbox: 0.449175 loss_dfl: 0.438744 loss: 1.953956 eta: 11:46:31 batch_cost: 0.9416 data_cost: 0.0093 ips: 67.9726 images/s
[03/19 10:27:59] ppdet.engine INFO: Epoch: [191] [260/458] learning_rate: 0.092892 loss_vfl: 1.044378 loss_bbox: 0.472593 loss_dfl: 0.441978 loss: 1.957141 eta: 11:46:14 batch_cost: 0.8924 data_cost: 0.0014 ips: 71.7175 images/s
[03/19 10:28:21] ppdet.engine INFO: Epoch: [191] [280/458] learning_rate: 0.092826 loss_vfl: 1.062754 loss_bbox: 0.470458 loss_dfl: 0.452845 loss: 2.000814 eta: 11:46:00 batch_cost: 1.0445 data_cost: 0.0035 ips: 61.2742 images/s
[03/19 10:28:40] ppdet.engine INFO: Epoch: [191] [300/458] learning_rate: 0.092759 loss_vfl: 1.059166 loss_bbox: 0.484614 loss_dfl: 0.447882 loss: 2.000363 eta: 11:45:42 batch_cost: 0.8301 data_cost: 0.0020 ips: 77.1029 images/s
[03/19 10:28:58] ppdet.engine INFO: Epoch: [191] [320/458] learning_rate: 0.092692 loss_vfl: 1.013356 loss_bbox: 0.452793 loss_dfl: 0.424548 loss: 1.907297 eta: 11:45:25 batch_cost: 0.8571 data_cost: 0.0016 ips: 74.6687 images/s
[03/19 10:29:18] ppdet.engine INFO: Epoch: [191] [340/458] learning_rate: 0.092626 loss_vfl: 1.041554 loss_bbox: 0.454806 loss_dfl: 0.433061 loss: 1.906799 eta: 11:45:09 batch_cost: 0.9215 data_cost: 0.0067 ips: 69.4488 images/s
[03/19 10:29:40] ppdet.engine INFO: Epoch: [191] [360/458] learning_rate: 0.092559 loss_vfl: 1.076179 loss_bbox: 0.494632 loss_dfl: 0.453353 loss: 2.040112 eta: 11:44:54 batch_cost: 1.0150 data_cost: 0.0037 ips: 63.0523 images/s
[03/19 10:29:59] ppdet.engine INFO: Epoch: [191] [380/458] learning_rate: 0.092493 loss_vfl: 1.010159 loss_bbox: 0.457666 loss_dfl: 0.425639 loss: 1.891613 eta: 11:44:36 batch_cost: 0.8330 data_cost: 0.0007 ips: 76.8280 images/s
[03/19 10:30:17] ppdet.engine INFO: Epoch: [191] [400/458] learning_rate: 0.092426 loss_vfl: 0.997287 loss_bbox: 0.465435 loss_dfl: 0.422996 loss: 1.881445 eta: 11:44:19 batch_cost: 0.8176 data_cost: 0.0066 ips: 78.2801 images/s
[03/19 10:30:38] ppdet.engine INFO: Epoch: [191] [420/458] learning_rate: 0.092360 loss_vfl: 1.009826 loss_bbox: 0.458331 loss_dfl: 0.425505 loss: 1.902811 eta: 11:44:03 batch_cost: 0.9663 data_cost: 0.0008 ips: 66.2311 images/s
[03/19 10:31:01] ppdet.engine INFO: Epoch: [191] [440/458] learning_rate: 0.092294 loss_vfl: 1.055093 loss_bbox: 0.475355 loss_dfl: 0.446592 loss: 1.960567 eta: 11:43:48 batch_cost: 1.0380 data_cost: 0.0015 ips: 61.6544 images/s
[03/19 10:31:22] ppdet.engine INFO: Epoch: [192] [  0/458] learning_rate: 0.092234 loss_vfl: 1.012736 loss_bbox: 0.456143 loss_dfl: 0.424917 loss: 1.913207 eta: 11:43:35 batch_cost: 1.1478 data_cost: 0.3351 ips: 55.7571 images/s
[03/19 10:31:42] ppdet.engine INFO: Epoch: [192] [ 20/458] learning_rate: 0.092167 loss_vfl: 0.982028 loss_bbox: 0.457556 loss_dfl: 0.421042 loss: 1.840309 eta: 11:43:18 batch_cost: 0.9302 data_cost: 0.2291 ips: 68.8021 images/s
[03/19 10:32:02] ppdet.engine INFO: Epoch: [192] [ 40/458] learning_rate: 0.092101 loss_vfl: 1.003648 loss_bbox: 0.455337 loss_dfl: 0.423684 loss: 1.878303 eta: 11:43:02 batch_cost: 0.8857 data_cost: 0.2410 ips: 72.2578 images/s
[03/19 10:32:23] ppdet.engine INFO: Epoch: [192] [ 60/458] learning_rate: 0.092035 loss_vfl: 1.097208 loss_bbox: 0.500817 loss_dfl: 0.452220 loss: 2.046802 eta: 11:42:46 batch_cost: 0.9600 data_cost: 0.4003 ips: 66.6635 images/s
[03/19 10:32:42] ppdet.engine INFO: Epoch: [192] [ 80/458] learning_rate: 0.091968 loss_vfl: 0.955395 loss_bbox: 0.433897 loss_dfl: 0.405154 loss: 1.793132 eta: 11:42:28 batch_cost: 0.7616 data_cost: 0.1116 ips: 84.0338 images/s
[03/19 10:33:03] ppdet.engine INFO: Epoch: [192] [100/458] learning_rate: 0.091902 loss_vfl: 1.032246 loss_bbox: 0.455152 loss_dfl: 0.432078 loss: 1.913477 eta: 11:42:12 batch_cost: 0.9313 data_cost: 0.0910 ips: 68.7200 images/s
[03/19 10:33:20] ppdet.engine INFO: Epoch: [192] [120/458] learning_rate: 0.091836 loss_vfl: 1.032365 loss_bbox: 0.478437 loss_dfl: 0.432430 loss: 1.940135 eta: 11:41:53 batch_cost: 0.7425 data_cost: 0.0019 ips: 86.1908 images/s
[03/19 10:33:34] ppdet.engine INFO: Epoch: [192] [140/458] learning_rate: 0.091769 loss_vfl: 1.044139 loss_bbox: 0.451208 loss_dfl: 0.430277 loss: 1.974168 eta: 11:41:33 batch_cost: 0.5440 data_cost: 0.0022 ips: 117.6370 images/s
[03/19 10:33:52] ppdet.engine INFO: Epoch: [192] [160/458] learning_rate: 0.091703 loss_vfl: 1.001646 loss_bbox: 0.448469 loss_dfl: 0.418108 loss: 1.871981 eta: 11:41:16 batch_cost: 0.8392 data_cost: 0.1854 ips: 76.2663 images/s
[03/19 10:34:13] ppdet.engine INFO: Epoch: [192] [180/458] learning_rate: 0.091637 loss_vfl: 1.022039 loss_bbox: 0.473982 loss_dfl: 0.436278 loss: 1.938555 eta: 11:41:00 batch_cost: 0.9704 data_cost: 0.0069 ips: 65.9551 images/s
[03/19 10:34:33] ppdet.engine INFO: Epoch: [192] [200/458] learning_rate: 0.091570 loss_vfl: 1.027947 loss_bbox: 0.482543 loss_dfl: 0.433555 loss: 1.947546 eta: 11:40:42 batch_cost: 0.8216 data_cost: 0.0177 ips: 77.8959 images/s
[03/19 10:34:53] ppdet.engine INFO: Epoch: [192] [220/458] learning_rate: 0.091504 loss_vfl: 1.061632 loss_bbox: 0.488501 loss_dfl: 0.443989 loss: 1.959992 eta: 11:40:26 batch_cost: 0.8864 data_cost: 0.0043 ips: 72.2021 images/s
[03/19 10:35:14] ppdet.engine INFO: Epoch: [192] [240/458] learning_rate: 0.091438 loss_vfl: 1.012576 loss_bbox: 0.448095 loss_dfl: 0.427667 loss: 1.866191 eta: 11:40:09 batch_cost: 0.8921 data_cost: 0.0029 ips: 71.7439 images/s
[03/19 10:35:34] ppdet.engine INFO: Epoch: [192] [260/458] learning_rate: 0.091371 loss_vfl: 1.047882 loss_bbox: 0.473155 loss_dfl: 0.453827 loss: 1.982699 eta: 11:39:52 batch_cost: 0.8302 data_cost: 0.0051 ips: 77.0936 images/s
[03/19 10:35:54] ppdet.engine INFO: Epoch: [192] [280/458] learning_rate: 0.091305 loss_vfl: 1.052386 loss_bbox: 0.454409 loss_dfl: 0.434824 loss: 1.972196 eta: 11:39:35 batch_cost: 0.8619 data_cost: 0.0095 ips: 74.2541 images/s
[03/19 10:36:17] ppdet.engine INFO: Epoch: [192] [300/458] learning_rate: 0.091239 loss_vfl: 1.029259 loss_bbox: 0.452676 loss_dfl: 0.429043 loss: 1.910979 eta: 11:39:20 batch_cost: 1.0555 data_cost: 0.0034 ips: 60.6323 images/s
[03/19 10:36:35] ppdet.engine INFO: Epoch: [192] [320/458] learning_rate: 0.091173 loss_vfl: 1.035993 loss_bbox: 0.454351 loss_dfl: 0.424670 loss: 1.915648 eta: 11:39:02 batch_cost: 0.7791 data_cost: 0.0021 ips: 82.1417 images/s
[03/19 10:36:53] ppdet.engine INFO: Epoch: [192] [340/458] learning_rate: 0.091107 loss_vfl: 1.059999 loss_bbox: 0.474476 loss_dfl: 0.450646 loss: 1.997468 eta: 11:38:44 batch_cost: 0.7880 data_cost: 0.0031 ips: 81.2191 images/s
[03/19 10:37:15] ppdet.engine INFO: Epoch: [192] [360/458] learning_rate: 0.091040 loss_vfl: 1.074133 loss_bbox: 0.492382 loss_dfl: 0.441080 loss: 2.016444 eta: 11:38:28 batch_cost: 0.9406 data_cost: 0.0432 ips: 68.0421 images/s
[03/19 10:37:35] ppdet.engine INFO: Epoch: [192] [380/458] learning_rate: 0.090974 loss_vfl: 0.963063 loss_bbox: 0.421398 loss_dfl: 0.402566 loss: 1.791240 eta: 11:38:12 batch_cost: 0.8995 data_cost: 0.2439 ips: 71.1523 images/s
[03/19 10:37:55] ppdet.engine INFO: Epoch: [192] [400/458] learning_rate: 0.090908 loss_vfl: 0.978890 loss_bbox: 0.449505 loss_dfl: 0.407707 loss: 1.820216 eta: 11:37:55 batch_cost: 0.8603 data_cost: 0.0035 ips: 74.3902 images/s
[03/19 10:38:13] ppdet.engine INFO: Epoch: [192] [420/458] learning_rate: 0.090842 loss_vfl: 1.029166 loss_bbox: 0.454858 loss_dfl: 0.426677 loss: 1.913112 eta: 11:37:37 batch_cost: 0.8021 data_cost: 0.0074 ips: 79.7924 images/s
[03/19 10:38:32] ppdet.engine INFO: Epoch: [192] [440/458] learning_rate: 0.090776 loss_vfl: 1.080765 loss_bbox: 0.467724 loss_dfl: 0.446263 loss: 1.995748 eta: 11:37:19 batch_cost: 0.7998 data_cost: 0.0026 ips: 80.0174 images/s
[03/19 10:38:54] ppdet.engine INFO: Epoch: [193] [  0/458] learning_rate: 0.090716 loss_vfl: 1.057951 loss_bbox: 0.478568 loss_dfl: 0.448276 loss: 1.993304 eta: 11:37:06 batch_cost: 1.0193 data_cost: 0.2669 ips: 62.7876 images/s
[03/19 10:39:15] ppdet.engine INFO: Epoch: [193] [ 20/458] learning_rate: 0.090650 loss_vfl: 1.023522 loss_bbox: 0.443448 loss_dfl: 0.426994 loss: 1.909384 eta: 11:36:50 batch_cost: 0.9246 data_cost: 0.0031 ips: 69.2222 images/s
[03/19 10:39:34] ppdet.engine INFO: Epoch: [193] [ 40/458] learning_rate: 0.090584 loss_vfl: 1.027838 loss_bbox: 0.452239 loss_dfl: 0.436915 loss: 1.894899 eta: 11:36:33 batch_cost: 0.8310 data_cost: 0.0015 ips: 77.0130 images/s
[03/19 10:39:54] ppdet.engine INFO: Epoch: [193] [ 60/458] learning_rate: 0.090518 loss_vfl: 1.048576 loss_bbox: 0.460071 loss_dfl: 0.443624 loss: 1.971802 eta: 11:36:16 batch_cost: 0.8701 data_cost: 0.0037 ips: 73.5582 images/s
[03/19 10:40:08] ppdet.engine INFO: Epoch: [193] [ 80/458] learning_rate: 0.090452 loss_vfl: 1.038851 loss_bbox: 0.464107 loss_dfl: 0.436475 loss: 1.941954 eta: 11:35:56 batch_cost: 0.6390 data_cost: 0.0101 ips: 100.1625 images/s
[03/19 10:40:24] ppdet.engine INFO: Epoch: [193] [100/458] learning_rate: 0.090386 loss_vfl: 1.096736 loss_bbox: 0.497189 loss_dfl: 0.461200 loss: 2.050175 eta: 11:35:37 batch_cost: 0.6573 data_cost: 0.0004 ips: 97.3637 images/s
[03/19 10:40:38] ppdet.engine INFO: Epoch: [193] [120/458] learning_rate: 0.090320 loss_vfl: 1.014724 loss_bbox: 0.443992 loss_dfl: 0.420797 loss: 1.851996 eta: 11:35:17 batch_cost: 0.6149 data_cost: 0.0416 ips: 104.0888 images/s
[03/19 10:40:59] ppdet.engine INFO: Epoch: [193] [140/458] learning_rate: 0.090254 loss_vfl: 0.978436 loss_bbox: 0.422832 loss_dfl: 0.405301 loss: 1.788960 eta: 11:35:01 batch_cost: 0.9680 data_cost: 0.0735 ips: 66.1140 images/s
[03/19 10:41:19] ppdet.engine INFO: Epoch: [193] [160/458] learning_rate: 0.090188 loss_vfl: 1.014426 loss_bbox: 0.470286 loss_dfl: 0.437302 loss: 1.926781 eta: 11:34:45 batch_cost: 0.8819 data_cost: 0.0574 ips: 72.5735 images/s
[03/19 10:41:37] ppdet.engine INFO: Epoch: [193] [180/458] learning_rate: 0.090122 loss_vfl: 1.036840 loss_bbox: 0.472981 loss_dfl: 0.432794 loss: 1.967665 eta: 11:34:27 batch_cost: 0.8019 data_cost: 0.0045 ips: 79.8082 images/s
[03/19 10:41:55] ppdet.engine INFO: Epoch: [193] [200/458] learning_rate: 0.090056 loss_vfl: 1.018085 loss_bbox: 0.464853 loss_dfl: 0.433675 loss: 1.896075 eta: 11:34:10 batch_cost: 0.8250 data_cost: 0.0032 ips: 77.5786 images/s
[03/19 10:42:17] ppdet.engine INFO: Epoch: [193] [220/458] learning_rate: 0.089990 loss_vfl: 0.996298 loss_bbox: 0.446231 loss_dfl: 0.412885 loss: 1.817397 eta: 11:33:54 batch_cost: 0.9746 data_cost: 0.0579 ips: 65.6666 images/s
[03/19 10:42:38] ppdet.engine INFO: Epoch: [193] [240/458] learning_rate: 0.089924 loss_vfl: 1.027834 loss_bbox: 0.445041 loss_dfl: 0.428442 loss: 1.950060 eta: 11:33:38 batch_cost: 0.9374 data_cost: 0.0385 ips: 68.2763 images/s
[03/19 10:42:56] ppdet.engine INFO: Epoch: [193] [260/458] learning_rate: 0.089858 loss_vfl: 0.981318 loss_bbox: 0.443983 loss_dfl: 0.408185 loss: 1.835476 eta: 11:33:20 batch_cost: 0.8215 data_cost: 0.0036 ips: 77.9040 images/s
[03/19 10:43:17] ppdet.engine INFO: Epoch: [193] [280/458] learning_rate: 0.089793 loss_vfl: 0.991081 loss_bbox: 0.450524 loss_dfl: 0.421415 loss: 1.866956 eta: 11:33:04 batch_cost: 0.9112 data_cost: 0.0071 ips: 70.2355 images/s
[03/19 10:43:36] ppdet.engine INFO: Epoch: [193] [300/458] learning_rate: 0.089727 loss_vfl: 1.040566 loss_bbox: 0.469050 loss_dfl: 0.436488 loss: 1.927624 eta: 11:32:47 batch_cost: 0.8332 data_cost: 0.0024 ips: 76.8117 images/s
[03/19 10:43:57] ppdet.engine INFO: Epoch: [193] [320/458] learning_rate: 0.089661 loss_vfl: 1.004340 loss_bbox: 0.440098 loss_dfl: 0.422037 loss: 1.875445 eta: 11:32:31 batch_cost: 0.9610 data_cost: 0.0022 ips: 66.6000 images/s
[03/19 10:44:17] ppdet.engine INFO: Epoch: [193] [340/458] learning_rate: 0.089595 loss_vfl: 1.033458 loss_bbox: 0.471449 loss_dfl: 0.426403 loss: 1.943195 eta: 11:32:14 batch_cost: 0.8842 data_cost: 0.0010 ips: 72.3784 images/s
[03/19 10:44:36] ppdet.engine INFO: Epoch: [193] [360/458] learning_rate: 0.089529 loss_vfl: 1.039207 loss_bbox: 0.447962 loss_dfl: 0.427432 loss: 1.905519 eta: 11:31:57 batch_cost: 0.8737 data_cost: 0.0143 ips: 73.2492 images/s
[03/19 10:44:55] ppdet.engine INFO: Epoch: [193] [380/458] learning_rate: 0.089463 loss_vfl: 1.030652 loss_bbox: 0.463674 loss_dfl: 0.437963 loss: 1.946559 eta: 11:31:40 batch_cost: 0.8786 data_cost: 0.0100 ips: 72.8465 images/s
[03/19 10:45:16] ppdet.engine INFO: Epoch: [193] [400/458] learning_rate: 0.089397 loss_vfl: 1.036683 loss_bbox: 0.466245 loss_dfl: 0.428349 loss: 1.919042 eta: 11:31:24 batch_cost: 0.9440 data_cost: 0.0029 ips: 67.7990 images/s
[03/19 10:45:33] ppdet.engine INFO: Epoch: [193] [420/458] learning_rate: 0.089332 loss_vfl: 1.022184 loss_bbox: 0.452346 loss_dfl: 0.429382 loss: 1.905872 eta: 11:31:06 batch_cost: 0.7308 data_cost: 0.0036 ips: 87.5694 images/s
[03/19 10:45:53] ppdet.engine INFO: Epoch: [193] [440/458] learning_rate: 0.089266 loss_vfl: 1.016850 loss_bbox: 0.469483 loss_dfl: 0.431799 loss: 1.925484 eta: 11:30:49 batch_cost: 0.9109 data_cost: 0.0040 ips: 70.2607 images/s
[03/19 10:46:17] ppdet.engine INFO: Epoch: [194] [  0/458] learning_rate: 0.089207 loss_vfl: 1.001144 loss_bbox: 0.453386 loss_dfl: 0.428821 loss: 1.885425 eta: 11:30:37 batch_cost: 1.1381 data_cost: 0.3367 ips: 56.2334 images/s
[03/19 10:46:32] ppdet.engine INFO: Epoch: [194] [ 20/458] learning_rate: 0.089141 loss_vfl: 1.021166 loss_bbox: 0.466871 loss_dfl: 0.434600 loss: 1.939409 eta: 11:30:19 batch_cost: 0.6920 data_cost: 0.0120 ips: 92.4909 images/s
[03/19 10:46:52] ppdet.engine INFO: Epoch: [194] [ 40/458] learning_rate: 0.089075 loss_vfl: 1.044363 loss_bbox: 0.468451 loss_dfl: 0.445307 loss: 1.990041 eta: 11:30:01 batch_cost: 0.8417 data_cost: 0.0014 ips: 76.0370 images/s
[03/19 10:47:10] ppdet.engine INFO: Epoch: [194] [ 60/458] learning_rate: 0.089009 loss_vfl: 0.995741 loss_bbox: 0.431695 loss_dfl: 0.412178 loss: 1.853300 eta: 11:29:44 batch_cost: 0.8271 data_cost: 0.0037 ips: 77.3805 images/s
[03/19 10:47:27] ppdet.engine INFO: Epoch: [194] [ 80/458] learning_rate: 0.088944 loss_vfl: 1.053257 loss_bbox: 0.475306 loss_dfl: 0.434501 loss: 1.941503 eta: 11:29:26 batch_cost: 0.7506 data_cost: 0.0037 ips: 85.2639 images/s
[03/19 10:47:42] ppdet.engine INFO: Epoch: [194] [100/458] learning_rate: 0.088878 loss_vfl: 0.982698 loss_bbox: 0.431852 loss_dfl: 0.418477 loss: 1.830633 eta: 11:29:07 batch_cost: 0.6854 data_cost: 0.0021 ips: 93.3753 images/s
[03/19 10:48:00] ppdet.engine INFO: Epoch: [194] [120/458] learning_rate: 0.088812 loss_vfl: 1.022082 loss_bbox: 0.446042 loss_dfl: 0.426980 loss: 1.904964 eta: 11:28:49 batch_cost: 0.7765 data_cost: 0.0008 ips: 82.4245 images/s
[03/19 10:48:21] ppdet.engine INFO: Epoch: [194] [140/458] learning_rate: 0.088747 loss_vfl: 1.066990 loss_bbox: 0.482438 loss_dfl: 0.440695 loss: 1.991181 eta: 11:28:33 batch_cost: 0.9650 data_cost: 0.0021 ips: 66.3212 images/s
[03/19 10:48:37] ppdet.engine INFO: Epoch: [194] [160/458] learning_rate: 0.088681 loss_vfl: 1.043385 loss_bbox: 0.452525 loss_dfl: 0.425756 loss: 1.923774 eta: 11:28:15 batch_cost: 0.7222 data_cost: 0.0028 ips: 88.6177 images/s
[03/19 10:48:58] ppdet.engine INFO: Epoch: [194] [180/458] learning_rate: 0.088615 loss_vfl: 1.029878 loss_bbox: 0.468725 loss_dfl: 0.433863 loss: 1.939943 eta: 11:27:58 batch_cost: 0.9309 data_cost: 0.0010 ips: 68.7481 images/s
[03/19 10:49:17] ppdet.engine INFO: Epoch: [194] [200/458] learning_rate: 0.088550 loss_vfl: 1.042650 loss_bbox: 0.465292 loss_dfl: 0.445105 loss: 1.971343 eta: 11:27:42 batch_cost: 0.8723 data_cost: 0.0003 ips: 73.3682 images/s
[03/19 10:49:37] ppdet.engine INFO: Epoch: [194] [220/458] learning_rate: 0.088484 loss_vfl: 1.036470 loss_bbox: 0.463762 loss_dfl: 0.446970 loss: 1.936133 eta: 11:27:25 batch_cost: 0.8709 data_cost: 0.0051 ips: 73.4836 images/s
[03/19 10:49:56] ppdet.engine INFO: Epoch: [194] [240/458] learning_rate: 0.088419 loss_vfl: 0.982468 loss_bbox: 0.445699 loss_dfl: 0.425308 loss: 1.855391 eta: 11:27:08 batch_cost: 0.8635 data_cost: 0.0020 ips: 74.1177 images/s
[03/19 10:50:17] ppdet.engine INFO: Epoch: [194] [260/458] learning_rate: 0.088353 loss_vfl: 1.055393 loss_bbox: 0.478327 loss_dfl: 0.444242 loss: 1.991163 eta: 11:26:52 batch_cost: 0.9275 data_cost: 0.0025 ips: 69.0012 images/s
[03/19 10:50:36] ppdet.engine INFO: Epoch: [194] [280/458] learning_rate: 0.088288 loss_vfl: 1.027156 loss_bbox: 0.458026 loss_dfl: 0.436657 loss: 1.910579 eta: 11:26:35 batch_cost: 0.8903 data_cost: 0.0033 ips: 71.8861 images/s
[03/19 10:50:57] ppdet.engine INFO: Epoch: [194] [300/458] learning_rate: 0.088222 loss_vfl: 1.014840 loss_bbox: 0.449516 loss_dfl: 0.421219 loss: 1.857985 eta: 11:26:19 batch_cost: 0.9264 data_cost: 0.0029 ips: 69.0850 images/s
[03/19 10:51:14] ppdet.engine INFO: Epoch: [194] [320/458] learning_rate: 0.088156 loss_vfl: 1.014330 loss_bbox: 0.460837 loss_dfl: 0.430191 loss: 1.909663 eta: 11:26:01 batch_cost: 0.7751 data_cost: 0.0042 ips: 82.5710 images/s
[03/19 10:51:34] ppdet.engine INFO: Epoch: [194] [340/458] learning_rate: 0.088091 loss_vfl: 1.023091 loss_bbox: 0.466879 loss_dfl: 0.433145 loss: 1.918723 eta: 11:25:44 batch_cost: 0.9370 data_cost: 0.0016 ips: 68.3001 images/s
[03/19 10:51:54] ppdet.engine INFO: Epoch: [194] [360/458] learning_rate: 0.088025 loss_vfl: 1.001950 loss_bbox: 0.454976 loss_dfl: 0.422298 loss: 1.879290 eta: 11:25:28 batch_cost: 0.8723 data_cost: 0.0003 ips: 73.3669 images/s
[03/19 10:52:14] ppdet.engine INFO: Epoch: [194] [380/458] learning_rate: 0.087960 loss_vfl: 0.989838 loss_bbox: 0.432913 loss_dfl: 0.416485 loss: 1.857051 eta: 11:25:11 batch_cost: 0.9248 data_cost: 0.0085 ips: 69.2021 images/s
[03/19 10:52:36] ppdet.engine INFO: Epoch: [194] [400/458] learning_rate: 0.087895 loss_vfl: 1.037848 loss_bbox: 0.447429 loss_dfl: 0.417254 loss: 1.914282 eta: 11:24:56 batch_cost: 0.9893 data_cost: 0.0014 ips: 64.6929 images/s
[03/19 10:52:56] ppdet.engine INFO: Epoch: [194] [420/458] learning_rate: 0.087829 loss_vfl: 1.092679 loss_bbox: 0.481732 loss_dfl: 0.459674 loss: 2.049775 eta: 11:24:39 batch_cost: 0.8844 data_cost: 0.0009 ips: 72.3638 images/s
[03/19 10:53:16] ppdet.engine INFO: Epoch: [194] [440/458] learning_rate: 0.087764 loss_vfl: 1.019668 loss_bbox: 0.463031 loss_dfl: 0.428752 loss: 1.917797 eta: 11:24:22 batch_cost: 0.8750 data_cost: 0.0028 ips: 73.1430 images/s
[03/19 10:53:36] ppdet.engine INFO: Epoch: [195] [  0/458] learning_rate: 0.087705 loss_vfl: 1.012069 loss_bbox: 0.442001 loss_dfl: 0.415623 loss: 1.887832 eta: 11:24:08 batch_cost: 0.9449 data_cost: 0.3893 ips: 67.7353 images/s
[03/19 10:53:54] ppdet.engine INFO: Epoch: [195] [ 20/458] learning_rate: 0.087639 loss_vfl: 1.038059 loss_bbox: 0.456942 loss_dfl: 0.417145 loss: 1.909628 eta: 11:23:51 batch_cost: 0.8100 data_cost: 0.1168 ips: 79.0077 images/s
[03/19 10:54:15] ppdet.engine INFO: Epoch: [195] [ 40/458] learning_rate: 0.087574 loss_vfl: 1.022235 loss_bbox: 0.457894 loss_dfl: 0.428711 loss: 1.905056 eta: 11:23:35 batch_cost: 0.9521 data_cost: 0.0271 ips: 67.2174 images/s
[03/19 10:54:33] ppdet.engine INFO: Epoch: [195] [ 60/458] learning_rate: 0.087509 loss_vfl: 0.996568 loss_bbox: 0.467512 loss_dfl: 0.417333 loss: 1.869279 eta: 11:23:17 batch_cost: 0.8017 data_cost: 0.0026 ips: 79.8318 images/s
[03/19 10:54:50] ppdet.engine INFO: Epoch: [195] [ 80/458] learning_rate: 0.087443 loss_vfl: 1.068026 loss_bbox: 0.472063 loss_dfl: 0.438152 loss: 1.979610 eta: 11:22:58 batch_cost: 0.7181 data_cost: 0.0022 ips: 89.1200 images/s
[03/19 10:55:03] ppdet.engine INFO: Epoch: [195] [100/458] learning_rate: 0.087378 loss_vfl: 1.011724 loss_bbox: 0.450386 loss_dfl: 0.425288 loss: 1.893965 eta: 11:22:38 batch_cost: 0.5625 data_cost: 0.0018 ips: 113.7692 images/s
[03/19 10:55:24] ppdet.engine INFO: Epoch: [195] [120/458] learning_rate: 0.087313 loss_vfl: 1.056254 loss_bbox: 0.448336 loss_dfl: 0.434721 loss: 1.940488 eta: 11:22:22 batch_cost: 0.9556 data_cost: 0.0029 ips: 66.9750 images/s
[03/19 10:55:41] ppdet.engine INFO: Epoch: [195] [140/458] learning_rate: 0.087247 loss_vfl: 1.009152 loss_bbox: 0.465424 loss_dfl: 0.422737 loss: 1.881538 eta: 11:22:05 batch_cost: 0.7890 data_cost: 0.0034 ips: 81.1105 images/s
[03/19 10:56:04] ppdet.engine INFO: Epoch: [195] [160/458] learning_rate: 0.087182 loss_vfl: 1.046168 loss_bbox: 0.454218 loss_dfl: 0.436674 loss: 1.953952 eta: 11:21:49 batch_cost: 1.0189 data_cost: 0.0013 ips: 62.8147 images/s
[03/19 10:56:23] ppdet.engine INFO: Epoch: [195] [180/458] learning_rate: 0.087117 loss_vfl: 1.076634 loss_bbox: 0.489194 loss_dfl: 0.458766 loss: 2.021044 eta: 11:21:32 batch_cost: 0.8181 data_cost: 0.0048 ips: 78.2255 images/s
[03/19 10:56:41] ppdet.engine INFO: Epoch: [195] [200/458] learning_rate: 0.087051 loss_vfl: 1.047467 loss_bbox: 0.464396 loss_dfl: 0.429925 loss: 1.952600 eta: 11:21:15 batch_cost: 0.8358 data_cost: 0.0021 ips: 76.5772 images/s
[03/19 10:57:01] ppdet.engine INFO: Epoch: [195] [220/458] learning_rate: 0.086986 loss_vfl: 1.037388 loss_bbox: 0.474357 loss_dfl: 0.431199 loss: 1.945772 eta: 11:20:58 batch_cost: 0.9379 data_cost: 0.0066 ips: 68.2385 images/s
[03/19 10:57:19] ppdet.engine INFO: Epoch: [195] [240/458] learning_rate: 0.086921 loss_vfl: 0.997323 loss_bbox: 0.431692 loss_dfl: 0.419515 loss: 1.841998 eta: 11:20:40 batch_cost: 0.7571 data_cost: 0.0011 ips: 84.5365 images/s
[03/19 10:57:40] ppdet.engine INFO: Epoch: [195] [260/458] learning_rate: 0.086856 loss_vfl: 1.070125 loss_bbox: 0.450705 loss_dfl: 0.436274 loss: 2.004262 eta: 11:20:24 batch_cost: 0.9701 data_cost: 0.0024 ips: 65.9734 images/s
[03/19 10:57:58] ppdet.engine INFO: Epoch: [195] [280/458] learning_rate: 0.086790 loss_vfl: 1.036384 loss_bbox: 0.455305 loss_dfl: 0.434047 loss: 1.915110 eta: 11:20:07 batch_cost: 0.8065 data_cost: 0.0046 ips: 79.3552 images/s
[03/19 10:58:20] ppdet.engine INFO: Epoch: [195] [300/458] learning_rate: 0.086725 loss_vfl: 1.045168 loss_bbox: 0.461243 loss_dfl: 0.436303 loss: 1.928517 eta: 11:19:52 batch_cost: 1.0213 data_cost: 0.0012 ips: 62.6622 images/s
[03/19 10:58:40] ppdet.engine INFO: Epoch: [195] [320/458] learning_rate: 0.086660 loss_vfl: 0.993940 loss_bbox: 0.433172 loss_dfl: 0.408518 loss: 1.823668 eta: 11:19:35 batch_cost: 0.8906 data_cost: 0.0041 ips: 71.8609 images/s
[03/19 10:58:59] ppdet.engine INFO: Epoch: [195] [340/458] learning_rate: 0.086595 loss_vfl: 1.004717 loss_bbox: 0.468999 loss_dfl: 0.435717 loss: 1.918909 eta: 11:19:18 batch_cost: 0.8573 data_cost: 0.0030 ips: 74.6505 images/s
[03/19 10:59:20] ppdet.engine INFO: Epoch: [195] [360/458] learning_rate: 0.086530 loss_vfl: 1.033447 loss_bbox: 0.442700 loss_dfl: 0.420618 loss: 1.889563 eta: 11:19:02 batch_cost: 0.9508 data_cost: 0.0055 ips: 67.3145 images/s
[03/19 10:59:40] ppdet.engine INFO: Epoch: [195] [380/458] learning_rate: 0.086465 loss_vfl: 1.055543 loss_bbox: 0.476880 loss_dfl: 0.439567 loss: 1.981095 eta: 11:18:46 batch_cost: 0.9251 data_cost: 0.0032 ips: 69.1805 images/s
[03/19 11:00:00] ppdet.engine INFO: Epoch: [195] [400/458] learning_rate: 0.086400 loss_vfl: 1.041992 loss_bbox: 0.451538 loss_dfl: 0.437433 loss: 1.940189 eta: 11:18:29 batch_cost: 0.9096 data_cost: 0.0010 ips: 70.3628 images/s
[03/19 11:00:22] ppdet.engine INFO: Epoch: [195] [420/458] learning_rate: 0.086334 loss_vfl: 1.046453 loss_bbox: 0.474779 loss_dfl: 0.439995 loss: 1.951041 eta: 11:18:14 batch_cost: 1.0017 data_cost: 0.0034 ips: 63.8929 images/s
[03/19 11:00:40] ppdet.engine INFO: Epoch: [195] [440/458] learning_rate: 0.086269 loss_vfl: 1.043049 loss_bbox: 0.459853 loss_dfl: 0.439046 loss: 1.933725 eta: 11:17:56 batch_cost: 0.8063 data_cost: 0.0028 ips: 79.3727 images/s
[03/19 11:01:00] ppdet.engine INFO: Epoch: [196] [  0/458] learning_rate: 0.086211 loss_vfl: 1.079644 loss_bbox: 0.487561 loss_dfl: 0.454230 loss: 2.013263 eta: 11:17:42 batch_cost: 0.9416 data_cost: 0.3351 ips: 67.9690 images/s
[03/19 11:01:20] ppdet.engine INFO: Epoch: [196] [ 20/458] learning_rate: 0.086146 loss_vfl: 0.995396 loss_bbox: 0.472646 loss_dfl: 0.424495 loss: 1.868006 eta: 11:17:25 batch_cost: 0.8407 data_cost: 0.0040 ips: 76.1312 images/s
[03/19 11:01:38] ppdet.engine INFO: Epoch: [196] [ 40/458] learning_rate: 0.086081 loss_vfl: 1.035473 loss_bbox: 0.455528 loss_dfl: 0.433056 loss: 1.929249 eta: 11:17:07 batch_cost: 0.8187 data_cost: 0.0016 ips: 78.1759 images/s
[03/19 11:01:53] ppdet.engine INFO: Epoch: [196] [ 60/458] learning_rate: 0.086016 loss_vfl: 1.017454 loss_bbox: 0.456462 loss_dfl: 0.427877 loss: 1.887317 eta: 11:16:48 batch_cost: 0.6522 data_cost: 0.0063 ips: 98.1279 images/s
[03/19 11:02:08] ppdet.engine INFO: Epoch: [196] [ 80/458] learning_rate: 0.085951 loss_vfl: 1.037473 loss_bbox: 0.474437 loss_dfl: 0.434640 loss: 1.939108 eta: 11:16:29 batch_cost: 0.6834 data_cost: 0.0539 ips: 93.6467 images/s
[03/19 11:02:27] ppdet.engine INFO: Epoch: [196] [100/458] learning_rate: 0.085886 loss_vfl: 1.015068 loss_bbox: 0.482747 loss_dfl: 0.443159 loss: 1.931043 eta: 11:16:12 batch_cost: 0.8489 data_cost: 0.0251 ips: 75.3917 images/s
[03/19 11:02:48] ppdet.engine INFO: Epoch: [196] [120/458] learning_rate: 0.085821 loss_vfl: 0.988178 loss_bbox: 0.435141 loss_dfl: 0.414703 loss: 1.850145 eta: 11:15:56 batch_cost: 0.9205 data_cost: 0.1819 ips: 69.5289 images/s
[03/19 11:03:06] ppdet.engine INFO: Epoch: [196] [140/458] learning_rate: 0.085756 loss_vfl: 0.988126 loss_bbox: 0.453903 loss_dfl: 0.421675 loss: 1.853185 eta: 11:15:38 batch_cost: 0.7726 data_cost: 0.1071 ips: 82.8393 images/s
[03/19 11:03:26] ppdet.engine INFO: Epoch: [196] [160/458] learning_rate: 0.085691 loss_vfl: 1.006099 loss_bbox: 0.425346 loss_dfl: 0.419733 loss: 1.849363 eta: 11:15:21 batch_cost: 0.8639 data_cost: 0.0690 ips: 74.0833 images/s
[03/19 11:03:46] ppdet.engine INFO: Epoch: [196] [180/458] learning_rate: 0.085626 loss_vfl: 0.969963 loss_bbox: 0.429881 loss_dfl: 0.415937 loss: 1.809248 eta: 11:15:04 batch_cost: 0.8858 data_cost: 0.1384 ips: 72.2512 images/s
[03/19 11:04:06] ppdet.engine INFO: Epoch: [196] [200/458] learning_rate: 0.085561 loss_vfl: 1.038675 loss_bbox: 0.470930 loss_dfl: 0.436157 loss: 1.942606 eta: 11:14:47 batch_cost: 0.8922 data_cost: 0.0755 ips: 71.7326 images/s
[03/19 11:04:24] ppdet.engine INFO: Epoch: [196] [220/458] learning_rate: 0.085496 loss_vfl: 1.032323 loss_bbox: 0.464739 loss_dfl: 0.432666 loss: 1.921175 eta: 11:14:30 batch_cost: 0.7859 data_cost: 0.2074 ips: 81.4387 images/s
[03/19 11:04:43] ppdet.engine INFO: Epoch: [196] [240/458] learning_rate: 0.085431 loss_vfl: 1.050413 loss_bbox: 0.463948 loss_dfl: 0.439831 loss: 1.946177 eta: 11:14:13 batch_cost: 0.8506 data_cost: 0.0010 ips: 75.2388 images/s
[03/19 11:05:02] ppdet.engine INFO: Epoch: [196] [260/458] learning_rate: 0.085366 loss_vfl: 0.982944 loss_bbox: 0.434000 loss_dfl: 0.416291 loss: 1.829289 eta: 11:13:55 batch_cost: 0.8460 data_cost: 0.0682 ips: 75.6466 images/s
[03/19 11:05:23] ppdet.engine INFO: Epoch: [196] [280/458] learning_rate: 0.085301 loss_vfl: 1.030452 loss_bbox: 0.478170 loss_dfl: 0.433300 loss: 1.943047 eta: 11:13:39 batch_cost: 0.9223 data_cost: 0.0012 ips: 69.3950 images/s
[03/19 11:05:42] ppdet.engine INFO: Epoch: [196] [300/458] learning_rate: 0.085237 loss_vfl: 1.024175 loss_bbox: 0.439113 loss_dfl: 0.416884 loss: 1.888346 eta: 11:13:22 batch_cost: 0.8139 data_cost: 0.0046 ips: 78.6312 images/s
[03/19 11:06:03] ppdet.engine INFO: Epoch: [196] [320/458] learning_rate: 0.085172 loss_vfl: 1.052787 loss_bbox: 0.488930 loss_dfl: 0.440452 loss: 1.970991 eta: 11:13:06 batch_cost: 0.9635 data_cost: 0.0039 ips: 66.4258 images/s
[03/19 11:06:22] ppdet.engine INFO: Epoch: [196] [340/458] learning_rate: 0.085107 loss_vfl: 1.037091 loss_bbox: 0.453029 loss_dfl: 0.433955 loss: 1.917034 eta: 11:12:49 batch_cost: 0.9039 data_cost: 0.0012 ips: 70.8013 images/s
[03/19 11:06:39] ppdet.engine INFO: Epoch: [196] [360/458] learning_rate: 0.085042 loss_vfl: 1.086087 loss_bbox: 0.487202 loss_dfl: 0.447143 loss: 2.029877 eta: 11:12:31 batch_cost: 0.7481 data_cost: 0.0028 ips: 85.5448 images/s
[03/19 11:07:00] ppdet.engine INFO: Epoch: [196] [380/458] learning_rate: 0.084977 loss_vfl: 0.987363 loss_bbox: 0.441690 loss_dfl: 0.418444 loss: 1.845041 eta: 11:12:15 batch_cost: 0.9776 data_cost: 0.0653 ips: 65.4669 images/s
[03/19 11:07:16] ppdet.engine INFO: Epoch: [196] [400/458] learning_rate: 0.084913 loss_vfl: 1.011594 loss_bbox: 0.459831 loss_dfl: 0.420682 loss: 1.886792 eta: 11:11:56 batch_cost: 0.6766 data_cost: 0.0050 ips: 94.5926 images/s
[03/19 11:07:39] ppdet.engine INFO: Epoch: [196] [420/458] learning_rate: 0.084848 loss_vfl: 1.021561 loss_bbox: 0.447154 loss_dfl: 0.407754 loss: 1.901343 eta: 11:11:42 batch_cost: 1.0975 data_cost: 0.0010 ips: 58.3140 images/s
[03/19 11:07:58] ppdet.engine INFO: Epoch: [196] [440/458] learning_rate: 0.084783 loss_vfl: 1.028331 loss_bbox: 0.465085 loss_dfl: 0.425224 loss: 1.935377 eta: 11:11:24 batch_cost: 0.8343 data_cost: 0.0082 ips: 76.7131 images/s
[03/19 11:08:20] ppdet.engine INFO: Epoch: [197] [  0/458] learning_rate: 0.084725 loss_vfl: 1.020591 loss_bbox: 0.450263 loss_dfl: 0.413946 loss: 1.924059 eta: 11:11:11 batch_cost: 0.9794 data_cost: 0.3399 ips: 65.3454 images/s
[03/19 11:08:37] ppdet.engine INFO: Epoch: [197] [ 20/458] learning_rate: 0.084660 loss_vfl: 1.013097 loss_bbox: 0.441895 loss_dfl: 0.423593 loss: 1.889956 eta: 11:10:53 batch_cost: 0.7613 data_cost: 0.0019 ips: 84.0650 images/s
[03/19 11:08:56] ppdet.engine INFO: Epoch: [197] [ 40/458] learning_rate: 0.084596 loss_vfl: 1.002892 loss_bbox: 0.442429 loss_dfl: 0.411032 loss: 1.858316 eta: 11:10:36 batch_cost: 0.8560 data_cost: 0.0010 ips: 74.7676 images/s
[03/19 11:09:10] ppdet.engine INFO: Epoch: [197] [ 60/458] learning_rate: 0.084531 loss_vfl: 1.064782 loss_bbox: 0.466213 loss_dfl: 0.448369 loss: 2.026598 eta: 11:10:16 batch_cost: 0.5987 data_cost: 0.0046 ips: 106.8915 images/s
[03/19 11:09:26] ppdet.engine INFO: Epoch: [197] [ 80/458] learning_rate: 0.084466 loss_vfl: 1.021901 loss_bbox: 0.451117 loss_dfl: 0.416095 loss: 1.882727 eta: 11:09:58 batch_cost: 0.7572 data_cost: 0.0048 ips: 84.5191 images/s
[03/19 11:09:45] ppdet.engine INFO: Epoch: [197] [100/458] learning_rate: 0.084402 loss_vfl: 1.059178 loss_bbox: 0.467659 loss_dfl: 0.436377 loss: 1.904897 eta: 11:09:40 batch_cost: 0.8060 data_cost: 0.0040 ips: 79.4093 images/s
[03/19 11:10:06] ppdet.engine INFO: Epoch: [197] [120/458] learning_rate: 0.084337 loss_vfl: 0.985556 loss_bbox: 0.445904 loss_dfl: 0.418005 loss: 1.846009 eta: 11:09:24 batch_cost: 0.9400 data_cost: 0.0007 ips: 68.0830 images/s
[03/19 11:10:26] ppdet.engine INFO: Epoch: [197] [140/458] learning_rate: 0.084272 loss_vfl: 1.028438 loss_bbox: 0.457613 loss_dfl: 0.431343 loss: 1.929462 eta: 11:09:08 batch_cost: 0.9062 data_cost: 0.0040 ips: 70.6283 images/s
[03/19 11:10:45] ppdet.engine INFO: Epoch: [197] [160/458] learning_rate: 0.084208 loss_vfl: 1.054061 loss_bbox: 0.461973 loss_dfl: 0.439222 loss: 1.961402 eta: 11:08:50 batch_cost: 0.8442 data_cost: 0.0050 ips: 75.8108 images/s
[03/19 11:11:05] ppdet.engine INFO: Epoch: [197] [180/458] learning_rate: 0.084143 loss_vfl: 1.021534 loss_bbox: 0.444869 loss_dfl: 0.422509 loss: 1.877762 eta: 11:08:34 batch_cost: 0.9238 data_cost: 0.0024 ips: 69.2811 images/s
[03/19 11:11:26] ppdet.engine INFO: Epoch: [197] [200/458] learning_rate: 0.084079 loss_vfl: 1.064820 loss_bbox: 0.479498 loss_dfl: 0.444860 loss: 1.973623 eta: 11:08:18 batch_cost: 0.9255 data_cost: 0.0021 ips: 69.1518 images/s
[03/19 11:11:46] ppdet.engine INFO: Epoch: [197] [220/458] learning_rate: 0.084014 loss_vfl: 1.000479 loss_bbox: 0.444144 loss_dfl: 0.414197 loss: 1.877444 eta: 11:08:02 batch_cost: 0.9389 data_cost: 0.0015 ips: 68.1667 images/s
[03/19 11:12:06] ppdet.engine INFO: Epoch: [197] [240/458] learning_rate: 0.083950 loss_vfl: 1.018186 loss_bbox: 0.474043 loss_dfl: 0.439420 loss: 1.918038 eta: 11:07:45 batch_cost: 0.9013 data_cost: 0.0012 ips: 71.0059 images/s
[03/19 11:12:25] ppdet.engine INFO: Epoch: [197] [260/458] learning_rate: 0.083885 loss_vfl: 0.989079 loss_bbox: 0.459880 loss_dfl: 0.436778 loss: 1.892823 eta: 11:07:28 batch_cost: 0.8840 data_cost: 0.0017 ips: 72.3985 images/s
[03/19 11:12:45] ppdet.engine INFO: Epoch: [197] [280/458] learning_rate: 0.083821 loss_vfl: 1.028125 loss_bbox: 0.478294 loss_dfl: 0.433017 loss: 1.931931 eta: 11:07:12 batch_cost: 0.9298 data_cost: 0.0029 ips: 68.8356 images/s
[03/19 11:13:05] ppdet.engine INFO: Epoch: [197] [300/458] learning_rate: 0.083756 loss_vfl: 1.017624 loss_bbox: 0.453544 loss_dfl: 0.426160 loss: 1.899451 eta: 11:06:56 batch_cost: 0.9477 data_cost: 0.0081 ips: 67.5354 images/s
[03/19 11:13:25] ppdet.engine INFO: Epoch: [197] [320/458] learning_rate: 0.083692 loss_vfl: 1.032626 loss_bbox: 0.463368 loss_dfl: 0.434701 loss: 1.909948 eta: 11:06:39 batch_cost: 0.9125 data_cost: 0.0036 ips: 70.1391 images/s
[03/19 11:13:44] ppdet.engine INFO: Epoch: [197] [340/458] learning_rate: 0.083627 loss_vfl: 1.025537 loss_bbox: 0.465339 loss_dfl: 0.428024 loss: 1.915628 eta: 11:06:23 batch_cost: 0.8771 data_cost: 0.0011 ips: 72.9667 images/s
[03/19 11:14:06] ppdet.engine INFO: Epoch: [197] [360/458] learning_rate: 0.083563 loss_vfl: 1.026878 loss_bbox: 0.452024 loss_dfl: 0.420139 loss: 1.889921 eta: 11:06:07 batch_cost: 0.9843 data_cost: 0.0056 ips: 65.0240 images/s
[03/19 11:14:24] ppdet.engine INFO: Epoch: [197] [380/458] learning_rate: 0.083498 loss_vfl: 1.039714 loss_bbox: 0.457850 loss_dfl: 0.432633 loss: 1.940288 eta: 11:05:49 batch_cost: 0.7756 data_cost: 0.0020 ips: 82.5178 images/s
[03/19 11:14:45] ppdet.engine INFO: Epoch: [197] [400/458] learning_rate: 0.083434 loss_vfl: 1.043242 loss_bbox: 0.460738 loss_dfl: 0.426491 loss: 1.938480 eta: 11:05:33 batch_cost: 0.9749 data_cost: 0.0041 ips: 65.6511 images/s
[03/19 11:15:05] ppdet.engine INFO: Epoch: [197] [420/458] learning_rate: 0.083370 loss_vfl: 1.040326 loss_bbox: 0.460606 loss_dfl: 0.433515 loss: 1.947184 eta: 11:05:16 batch_cost: 0.8812 data_cost: 0.0024 ips: 72.6309 images/s
[03/19 11:15:24] ppdet.engine INFO: Epoch: [197] [440/458] learning_rate: 0.083305 loss_vfl: 0.992874 loss_bbox: 0.424336 loss_dfl: 0.412593 loss: 1.855507 eta: 11:05:00 batch_cost: 0.8747 data_cost: 0.0027 ips: 73.1720 images/s
[03/19 11:15:46] ppdet.engine INFO: Epoch: [198] [  0/458] learning_rate: 0.083247 loss_vfl: 1.044097 loss_bbox: 0.459939 loss_dfl: 0.433383 loss: 1.890799 eta: 11:04:46 batch_cost: 1.0390 data_cost: 0.2352 ips: 61.5953 images/s
[03/19 11:16:03] ppdet.engine INFO: Epoch: [198] [ 20/458] learning_rate: 0.083183 loss_vfl: 1.040312 loss_bbox: 0.471460 loss_dfl: 0.438158 loss: 1.959774 eta: 11:04:28 batch_cost: 0.7586 data_cost: 0.0024 ips: 84.3660 images/s
[03/19 11:16:20] ppdet.engine INFO: Epoch: [198] [ 40/458] learning_rate: 0.083119 loss_vfl: 1.015052 loss_bbox: 0.448785 loss_dfl: 0.417990 loss: 1.868431 eta: 11:04:10 batch_cost: 0.7507 data_cost: 0.0051 ips: 85.2515 images/s
[03/19 11:16:34] ppdet.engine INFO: Epoch: [198] [ 60/458] learning_rate: 0.083054 loss_vfl: 1.034109 loss_bbox: 0.493763 loss_dfl: 0.444007 loss: 1.986846 eta: 11:03:51 batch_cost: 0.6262 data_cost: 0.0019 ips: 102.2118 images/s
[03/19 11:16:52] ppdet.engine INFO: Epoch: [198] [ 80/458] learning_rate: 0.082990 loss_vfl: 1.011205 loss_bbox: 0.461551 loss_dfl: 0.424960 loss: 1.919702 eta: 11:03:33 batch_cost: 0.7862 data_cost: 0.0016 ips: 81.4068 images/s
[03/19 11:17:12] ppdet.engine INFO: Epoch: [198] [100/458] learning_rate: 0.082926 loss_vfl: 0.982541 loss_bbox: 0.433443 loss_dfl: 0.399470 loss: 1.801559 eta: 11:03:17 batch_cost: 0.9547 data_cost: 0.0033 ips: 67.0348 images/s
[03/19 11:17:31] ppdet.engine INFO: Epoch: [198] [120/458] learning_rate: 0.082862 loss_vfl: 1.058215 loss_bbox: 0.475557 loss_dfl: 0.444247 loss: 1.989512 eta: 11:02:59 batch_cost: 0.8019 data_cost: 0.0082 ips: 79.8096 images/s
[03/19 11:17:51] ppdet.engine INFO: Epoch: [198] [140/458] learning_rate: 0.082797 loss_vfl: 1.016941 loss_bbox: 0.460384 loss_dfl: 0.440675 loss: 1.907039 eta: 11:02:43 batch_cost: 0.9411 data_cost: 0.0046 ips: 68.0073 images/s
[03/19 11:18:12] ppdet.engine INFO: Epoch: [198] [160/458] learning_rate: 0.082733 loss_vfl: 1.015240 loss_bbox: 0.467551 loss_dfl: 0.427545 loss: 1.935076 eta: 11:02:27 batch_cost: 0.9907 data_cost: 0.0003 ips: 64.5979 images/s
[03/19 11:18:31] ppdet.engine INFO: Epoch: [198] [180/458] learning_rate: 0.082669 loss_vfl: 1.057142 loss_bbox: 0.464076 loss_dfl: 0.439743 loss: 1.944589 eta: 11:02:10 batch_cost: 0.8593 data_cost: 0.0010 ips: 74.4754 images/s
[03/19 11:18:51] ppdet.engine INFO: Epoch: [198] [200/458] learning_rate: 0.082605 loss_vfl: 1.025582 loss_bbox: 0.460347 loss_dfl: 0.418152 loss: 1.893170 eta: 11:01:54 batch_cost: 0.9022 data_cost: 0.0011 ips: 70.9398 images/s
[03/19 11:19:11] ppdet.engine INFO: Epoch: [198] [220/458] learning_rate: 0.082541 loss_vfl: 1.009817 loss_bbox: 0.446053 loss_dfl: 0.412253 loss: 1.848314 eta: 11:01:37 batch_cost: 0.9176 data_cost: 0.0110 ips: 69.7464 images/s
[03/19 11:19:32] ppdet.engine INFO: Epoch: [198] [240/458] learning_rate: 0.082476 loss_vfl: 1.048423 loss_bbox: 0.461933 loss_dfl: 0.431881 loss: 1.940212 eta: 11:01:21 batch_cost: 0.8840 data_cost: 0.0055 ips: 72.4015 images/s
[03/19 11:19:52] ppdet.engine INFO: Epoch: [198] [260/458] learning_rate: 0.082412 loss_vfl: 1.014966 loss_bbox: 0.444931 loss_dfl: 0.427947 loss: 1.887309 eta: 11:01:04 batch_cost: 0.9292 data_cost: 0.0041 ips: 68.8735 images/s
[03/19 11:20:11] ppdet.engine INFO: Epoch: [198] [280/458] learning_rate: 0.082348 loss_vfl: 1.022798 loss_bbox: 0.452124 loss_dfl: 0.435024 loss: 1.925931 eta: 11:00:47 batch_cost: 0.8591 data_cost: 0.0035 ips: 74.4976 images/s
[03/19 11:20:32] ppdet.engine INFO: Epoch: [198] [300/458] learning_rate: 0.082284 loss_vfl: 1.050298 loss_bbox: 0.471032 loss_dfl: 0.437751 loss: 1.940122 eta: 11:00:32 batch_cost: 1.0080 data_cost: 0.0057 ips: 63.4908 images/s
[03/19 11:20:51] ppdet.engine INFO: Epoch: [198] [320/458] learning_rate: 0.082220 loss_vfl: 1.024033 loss_bbox: 0.465312 loss_dfl: 0.422679 loss: 1.930637 eta: 11:00:15 batch_cost: 0.8385 data_cost: 0.0009 ips: 76.3238 images/s
[03/19 11:21:12] ppdet.engine INFO: Epoch: [198] [340/458] learning_rate: 0.082156 loss_vfl: 1.013207 loss_bbox: 0.441072 loss_dfl: 0.424642 loss: 1.883904 eta: 10:59:58 batch_cost: 0.9133 data_cost: 0.0022 ips: 70.0729 images/s
[03/19 11:21:32] ppdet.engine INFO: Epoch: [198] [360/458] learning_rate: 0.082092 loss_vfl: 0.983906 loss_bbox: 0.437495 loss_dfl: 0.411876 loss: 1.822102 eta: 10:59:42 batch_cost: 0.9393 data_cost: 0.0022 ips: 68.1348 images/s
[03/19 11:21:50] ppdet.engine INFO: Epoch: [198] [380/458] learning_rate: 0.082028 loss_vfl: 1.075506 loss_bbox: 0.488643 loss_dfl: 0.459447 loss: 2.054478 eta: 10:59:24 batch_cost: 0.8053 data_cost: 0.0043 ips: 79.4730 images/s
[03/19 11:22:12] ppdet.engine INFO: Epoch: [198] [400/458] learning_rate: 0.081964 loss_vfl: 1.026982 loss_bbox: 0.455898 loss_dfl: 0.429722 loss: 1.904379 eta: 10:59:09 batch_cost: 0.9939 data_cost: 0.0025 ips: 64.3898 images/s
[03/19 11:22:30] ppdet.engine INFO: Epoch: [198] [420/458] learning_rate: 0.081900 loss_vfl: 1.067735 loss_bbox: 0.477648 loss_dfl: 0.440968 loss: 1.970493 eta: 10:58:51 batch_cost: 0.8239 data_cost: 0.0037 ips: 77.6764 images/s
[03/19 11:22:50] ppdet.engine INFO: Epoch: [198] [440/458] learning_rate: 0.081836 loss_vfl: 0.995119 loss_bbox: 0.430209 loss_dfl: 0.414547 loss: 1.844618 eta: 10:58:35 batch_cost: 0.8901 data_cost: 0.0038 ips: 71.8983 images/s
[03/19 11:23:13] ppdet.engine INFO: Epoch: [199] [  0/458] learning_rate: 0.081778 loss_vfl: 0.989317 loss_bbox: 0.434402 loss_dfl: 0.403708 loss: 1.837857 eta: 10:58:22 batch_cost: 1.1073 data_cost: 0.3412 ips: 57.7961 images/s
[03/19 11:23:28] ppdet.engine INFO: Epoch: [199] [ 20/458] learning_rate: 0.081714 loss_vfl: 0.988618 loss_bbox: 0.463400 loss_dfl: 0.424727 loss: 1.864935 eta: 10:58:03 batch_cost: 0.6544 data_cost: 0.0023 ips: 97.7961 images/s
[03/19 11:23:41] ppdet.engine INFO: Epoch: [199] [ 40/458] learning_rate: 0.081650 loss_vfl: 0.967136 loss_bbox: 0.436098 loss_dfl: 0.405333 loss: 1.818139 eta: 10:57:43 batch_cost: 0.5664 data_cost: 0.0029 ips: 112.9957 images/s
[03/19 11:23:57] ppdet.engine INFO: Epoch: [199] [ 60/458] learning_rate: 0.081586 loss_vfl: 1.029892 loss_bbox: 0.453263 loss_dfl: 0.436994 loss: 1.925377 eta: 10:57:24 batch_cost: 0.7005 data_cost: 0.1043 ips: 91.3698 images/s
[03/19 11:24:16] ppdet.engine INFO: Epoch: [199] [ 80/458] learning_rate: 0.081522 loss_vfl: 1.054582 loss_bbox: 0.471196 loss_dfl: 0.443067 loss: 1.992033 eta: 10:57:06 batch_cost: 0.7756 data_cost: 0.0268 ips: 82.5219 images/s
[03/19 11:24:35] ppdet.engine INFO: Epoch: [199] [100/458] learning_rate: 0.081459 loss_vfl: 1.101178 loss_bbox: 0.491396 loss_dfl: 0.460299 loss: 2.052433 eta: 10:56:49 batch_cost: 0.7923 data_cost: 0.0009 ips: 80.7816 images/s
[03/19 11:24:55] ppdet.engine INFO: Epoch: [199] [120/458] learning_rate: 0.081395 loss_vfl: 1.012300 loss_bbox: 0.446055 loss_dfl: 0.421752 loss: 1.911552 eta: 10:56:32 batch_cost: 0.9212 data_cost: 0.1432 ips: 69.4733 images/s
[03/19 11:25:15] ppdet.engine INFO: Epoch: [199] [140/458] learning_rate: 0.081331 loss_vfl: 1.039418 loss_bbox: 0.469955 loss_dfl: 0.439537 loss: 1.925427 eta: 10:56:15 batch_cost: 0.8705 data_cost: 0.0832 ips: 73.5172 images/s
[03/19 11:25:36] ppdet.engine INFO: Epoch: [199] [160/458] learning_rate: 0.081267 loss_vfl: 1.003641 loss_bbox: 0.455418 loss_dfl: 0.426446 loss: 1.889107 eta: 10:56:00 batch_cost: 0.9926 data_cost: 0.0919 ips: 64.4753 images/s
[03/19 11:25:53] ppdet.engine INFO: Epoch: [199] [180/458] learning_rate: 0.081203 loss_vfl: 1.073989 loss_bbox: 0.481574 loss_dfl: 0.435825 loss: 1.990978 eta: 10:55:41 batch_cost: 0.7365 data_cost: 0.0013 ips: 86.8961 images/s
[03/19 11:26:12] ppdet.engine INFO: Epoch: [199] [200/458] learning_rate: 0.081139 loss_vfl: 0.982624 loss_bbox: 0.452355 loss_dfl: 0.416056 loss: 1.841661 eta: 10:55:24 batch_cost: 0.8566 data_cost: 0.0029 ips: 74.7112 images/s
[03/19 11:26:32] ppdet.engine INFO: Epoch: [199] [220/458] learning_rate: 0.081076 loss_vfl: 1.013065 loss_bbox: 0.468150 loss_dfl: 0.434931 loss: 1.896681 eta: 10:55:08 batch_cost: 0.9090 data_cost: 0.0031 ips: 70.4082 images/s
[03/19 11:26:49] ppdet.engine INFO: Epoch: [199] [240/458] learning_rate: 0.081012 loss_vfl: 1.023284 loss_bbox: 0.445064 loss_dfl: 0.428292 loss: 1.897225 eta: 10:54:50 batch_cost: 0.7466 data_cost: 0.0023 ips: 85.7210 images/s
[03/19 11:27:12] ppdet.engine INFO: Epoch: [199] [260/458] learning_rate: 0.080948 loss_vfl: 1.019549 loss_bbox: 0.460933 loss_dfl: 0.417669 loss: 1.881146 eta: 10:54:34 batch_cost: 0.9953 data_cost: 0.0023 ips: 64.3051 images/s
[03/19 11:27:29] ppdet.engine INFO: Epoch: [199] [280/458] learning_rate: 0.080884 loss_vfl: 1.044345 loss_bbox: 0.459939 loss_dfl: 0.435327 loss: 1.929918 eta: 10:54:16 batch_cost: 0.7185 data_cost: 0.0051 ips: 89.0713 images/s
[03/19 11:27:49] ppdet.engine INFO: Epoch: [199] [300/458] learning_rate: 0.080821 loss_vfl: 1.004511 loss_bbox: 0.454674 loss_dfl: 0.419473 loss: 1.876874 eta: 10:53:59 batch_cost: 0.9247 data_cost: 0.0049 ips: 69.2102 images/s
[03/19 11:28:08] ppdet.engine INFO: Epoch: [199] [320/458] learning_rate: 0.080757 loss_vfl: 1.050215 loss_bbox: 0.462645 loss_dfl: 0.430813 loss: 1.952159 eta: 10:53:42 batch_cost: 0.8404 data_cost: 0.0083 ips: 76.1525 images/s
[03/19 11:28:29] ppdet.engine INFO: Epoch: [199] [340/458] learning_rate: 0.080693 loss_vfl: 1.052992 loss_bbox: 0.475884 loss_dfl: 0.436143 loss: 1.934404 eta: 10:53:25 batch_cost: 0.9052 data_cost: 0.0036 ips: 70.7060 images/s
[03/19 11:28:45] ppdet.engine INFO: Epoch: [199] [360/458] learning_rate: 0.080629 loss_vfl: 1.075794 loss_bbox: 0.483583 loss_dfl: 0.454165 loss: 2.006282 eta: 10:53:07 batch_cost: 0.6832 data_cost: 0.0055 ips: 93.6789 images/s
[03/19 11:29:04] ppdet.engine INFO: Epoch: [199] [380/458] learning_rate: 0.080566 loss_vfl: 0.984677 loss_bbox: 0.454222 loss_dfl: 0.423660 loss: 1.884189 eta: 10:52:50 batch_cost: 0.8542 data_cost: 0.0033 ips: 74.9264 images/s
[03/19 11:29:23] ppdet.engine INFO: Epoch: [199] [400/458] learning_rate: 0.080502 loss_vfl: 1.020799 loss_bbox: 0.460558 loss_dfl: 0.428613 loss: 1.920679 eta: 10:52:32 batch_cost: 0.8101 data_cost: 0.0802 ips: 79.0073 images/s
[03/19 11:29:42] ppdet.engine INFO: Epoch: [199] [420/458] learning_rate: 0.080439 loss_vfl: 1.027145 loss_bbox: 0.459944 loss_dfl: 0.426496 loss: 1.900824 eta: 10:52:15 batch_cost: 0.8120 data_cost: 0.0030 ips: 78.8195 images/s
[03/19 11:30:00] ppdet.engine INFO: Epoch: [199] [440/458] learning_rate: 0.080375 loss_vfl: 1.054317 loss_bbox: 0.486460 loss_dfl: 0.444761 loss: 1.986099 eta: 10:51:57 batch_cost: 0.8529 data_cost: 0.0050 ips: 75.0345 images/s
[03/19 11:30:15] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 11:30:16] ppdet.engine INFO: Eval iter: 0
[03/19 11:30:34] ppdet.engine INFO: Eval iter: 100
[03/19 11:30:42] ppdet.engine INFO: Eval iter: 200
[03/19 11:30:50] ppdet.engine INFO: Eval iter: 300
[03/19 11:30:58] ppdet.engine INFO: Eval iter: 400
[03/19 11:31:06] ppdet.engine INFO: Eval iter: 500
[03/19 11:31:15] ppdet.engine INFO: Eval iter: 600
[03/19 11:31:29] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.59s)
creating index...
index created!
[03/19 11:31:30] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.90s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=76.85s).
Accumulating evaluation results...
DONE (t=15.69s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.224
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.343
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.233
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.063
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.217
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.397
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.232
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.372
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.395
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.115
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.430
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.668
[03/19 11:33:09] ppdet.engine INFO: Total sample number: 4952, averge FPS: 79.97050847559561
[03/19 11:33:09] ppdet.engine INFO: Best test bbox ap is 0.224.
[03/19 11:33:09] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 11:33:09] ppdet.engine INFO: Epoch: [200] [  0/458] learning_rate: 0.080318 loss_vfl: 0.993434 loss_bbox: 0.444411 loss_dfl: 0.410677 loss: 1.847382 eta: 10:51:40 batch_cost: 0.6686 data_cost: 0.0036 ips: 95.7277 images/s
[03/19 11:33:24] ppdet.engine INFO: Epoch: [200] [ 20/458] learning_rate: 0.080254 loss_vfl: 0.996301 loss_bbox: 0.459020 loss_dfl: 0.420710 loss: 1.853667 eta: 10:51:21 batch_cost: 0.6180 data_cost: 0.0033 ips: 103.5636 images/s
[03/19 11:33:45] ppdet.engine INFO: Epoch: [200] [ 40/458] learning_rate: 0.080191 loss_vfl: 0.993479 loss_bbox: 0.452906 loss_dfl: 0.425939 loss: 1.865564 eta: 10:51:05 batch_cost: 0.9610 data_cost: 0.2044 ips: 66.5952 images/s
[03/19 11:34:04] ppdet.engine INFO: Epoch: [200] [ 60/458] learning_rate: 0.080127 loss_vfl: 0.989027 loss_bbox: 0.446737 loss_dfl: 0.421207 loss: 1.872706 eta: 10:50:48 batch_cost: 0.8680 data_cost: 0.2973 ips: 73.7303 images/s
[03/19 11:34:24] ppdet.engine INFO: Epoch: [200] [ 80/458] learning_rate: 0.080064 loss_vfl: 1.029078 loss_bbox: 0.460972 loss_dfl: 0.425924 loss: 1.922748 eta: 10:50:31 batch_cost: 0.8436 data_cost: 0.1881 ips: 75.8680 images/s
[03/19 11:34:47] ppdet.engine INFO: Epoch: [200] [100/458] learning_rate: 0.080000 loss_vfl: 1.004198 loss_bbox: 0.453125 loss_dfl: 0.422828 loss: 1.880436 eta: 10:50:15 batch_cost: 1.0165 data_cost: 0.2388 ips: 62.9635 images/s
[03/19 11:35:04] ppdet.engine INFO: Epoch: [200] [120/458] learning_rate: 0.079937 loss_vfl: 1.008301 loss_bbox: 0.431277 loss_dfl: 0.413989 loss: 1.842361 eta: 10:49:58 batch_cost: 0.7726 data_cost: 0.1601 ips: 82.8332 images/s
[03/19 11:35:26] ppdet.engine INFO: Epoch: [200] [140/458] learning_rate: 0.079873 loss_vfl: 0.993089 loss_bbox: 0.459213 loss_dfl: 0.420363 loss: 1.861450 eta: 10:49:41 batch_cost: 0.9410 data_cost: 0.0428 ips: 68.0122 images/s
[03/19 11:35:47] ppdet.engine INFO: Epoch: [200] [160/458] learning_rate: 0.079810 loss_vfl: 1.015894 loss_bbox: 0.456354 loss_dfl: 0.429152 loss: 1.890513 eta: 10:49:26 batch_cost: 0.9869 data_cost: 0.1528 ips: 64.8480 images/s
[03/19 11:36:06] ppdet.engine INFO: Epoch: [200] [180/458] learning_rate: 0.079746 loss_vfl: 1.074096 loss_bbox: 0.487704 loss_dfl: 0.449981 loss: 2.024189 eta: 10:49:09 batch_cost: 0.8696 data_cost: 0.1387 ips: 73.5987 images/s
[03/19 11:36:26] ppdet.engine INFO: Epoch: [200] [200/458] learning_rate: 0.079683 loss_vfl: 1.021765 loss_bbox: 0.463089 loss_dfl: 0.410085 loss: 1.906871 eta: 10:48:52 batch_cost: 0.8606 data_cost: 0.1454 ips: 74.3646 images/s
[03/19 11:36:46] ppdet.engine INFO: Epoch: [200] [220/458] learning_rate: 0.079619 loss_vfl: 1.060182 loss_bbox: 0.450187 loss_dfl: 0.429376 loss: 1.944215 eta: 10:48:35 batch_cost: 0.8735 data_cost: 0.0020 ips: 73.2663 images/s
[03/19 11:37:07] ppdet.engine INFO: Epoch: [200] [240/458] learning_rate: 0.079556 loss_vfl: 1.021047 loss_bbox: 0.460379 loss_dfl: 0.431375 loss: 1.915228 eta: 10:48:18 batch_cost: 0.8844 data_cost: 0.2075 ips: 72.3647 images/s
[03/19 11:37:24] ppdet.engine INFO: Epoch: [200] [260/458] learning_rate: 0.079493 loss_vfl: 1.009791 loss_bbox: 0.477165 loss_dfl: 0.437524 loss: 1.919147 eta: 10:48:00 batch_cost: 0.7648 data_cost: 0.1785 ips: 83.6823 images/s
[03/19 11:37:39] ppdet.engine INFO: Epoch: [200] [280/458] learning_rate: 0.079429 loss_vfl: 1.009496 loss_bbox: 0.457262 loss_dfl: 0.425439 loss: 1.891250 eta: 10:47:41 batch_cost: 0.6546 data_cost: 0.1140 ips: 97.7766 images/s
[03/19 11:37:55] ppdet.engine INFO: Epoch: [200] [300/458] learning_rate: 0.079366 loss_vfl: 0.962743 loss_bbox: 0.448923 loss_dfl: 0.411364 loss: 1.817316 eta: 10:47:22 batch_cost: 0.6835 data_cost: 0.1339 ips: 93.6412 images/s
[03/19 11:38:16] ppdet.engine INFO: Epoch: [200] [320/458] learning_rate: 0.079302 loss_vfl: 0.969056 loss_bbox: 0.427417 loss_dfl: 0.404332 loss: 1.804104 eta: 10:47:06 batch_cost: 0.9284 data_cost: 0.3761 ips: 68.9365 images/s
[03/19 11:38:35] ppdet.engine INFO: Epoch: [200] [340/458] learning_rate: 0.079239 loss_vfl: 1.067784 loss_bbox: 0.473337 loss_dfl: 0.438463 loss: 1.993362 eta: 10:46:49 batch_cost: 0.8208 data_cost: 0.2062 ips: 77.9725 images/s
[03/19 11:38:56] ppdet.engine INFO: Epoch: [200] [360/458] learning_rate: 0.079176 loss_vfl: 1.028111 loss_bbox: 0.473370 loss_dfl: 0.442393 loss: 1.923753 eta: 10:46:32 batch_cost: 0.9134 data_cost: 0.3173 ips: 70.0680 images/s
[03/19 11:39:15] ppdet.engine INFO: Epoch: [200] [380/458] learning_rate: 0.079113 loss_vfl: 1.012927 loss_bbox: 0.451299 loss_dfl: 0.417496 loss: 1.874871 eta: 10:46:15 batch_cost: 0.8446 data_cost: 0.2606 ips: 75.7765 images/s
[03/19 11:39:34] ppdet.engine INFO: Epoch: [200] [400/458] learning_rate: 0.079049 loss_vfl: 1.046506 loss_bbox: 0.463594 loss_dfl: 0.436170 loss: 1.982303 eta: 10:45:58 batch_cost: 0.8545 data_cost: 0.1525 ips: 74.8986 images/s
[03/19 11:39:54] ppdet.engine INFO: Epoch: [200] [420/458] learning_rate: 0.078986 loss_vfl: 1.029815 loss_bbox: 0.445343 loss_dfl: 0.414458 loss: 1.881833 eta: 10:45:41 batch_cost: 0.8781 data_cost: 0.1901 ips: 72.8842 images/s
[03/19 11:40:15] ppdet.engine INFO: Epoch: [200] [440/458] learning_rate: 0.078923 loss_vfl: 1.045214 loss_bbox: 0.473935 loss_dfl: 0.435585 loss: 1.945570 eta: 10:45:24 batch_cost: 0.9144 data_cost: 0.0034 ips: 69.9928 images/s
[03/19 11:40:39] ppdet.engine INFO: Epoch: [201] [  0/458] learning_rate: 0.078866 loss_vfl: 1.050105 loss_bbox: 0.472247 loss_dfl: 0.446143 loss: 1.994097 eta: 10:45:12 batch_cost: 1.0796 data_cost: 0.5512 ips: 59.2800 images/s
[03/19 11:40:56] ppdet.engine INFO: Epoch: [201] [ 20/458] learning_rate: 0.078803 loss_vfl: 1.011205 loss_bbox: 0.436979 loss_dfl: 0.419673 loss: 1.869130 eta: 10:44:53 batch_cost: 0.6848 data_cost: 0.1272 ips: 93.4562 images/s
[03/19 11:41:18] ppdet.engine INFO: Epoch: [201] [ 40/458] learning_rate: 0.078740 loss_vfl: 0.995367 loss_bbox: 0.461668 loss_dfl: 0.419205 loss: 1.860099 eta: 10:44:37 batch_cost: 0.9997 data_cost: 0.2875 ips: 64.0164 images/s
[03/19 11:41:40] ppdet.engine INFO: Epoch: [201] [ 60/458] learning_rate: 0.078676 loss_vfl: 1.052112 loss_bbox: 0.481632 loss_dfl: 0.433931 loss: 1.932142 eta: 10:44:22 batch_cost: 0.9814 data_cost: 0.2487 ips: 65.2123 images/s
[03/19 11:41:59] ppdet.engine INFO: Epoch: [201] [ 80/458] learning_rate: 0.078613 loss_vfl: 1.013631 loss_bbox: 0.446921 loss_dfl: 0.429537 loss: 1.885222 eta: 10:44:04 batch_cost: 0.8280 data_cost: 0.1122 ips: 77.2920 images/s
[03/19 11:42:20] ppdet.engine INFO: Epoch: [201] [100/458] learning_rate: 0.078550 loss_vfl: 1.017961 loss_bbox: 0.460467 loss_dfl: 0.425101 loss: 1.905339 eta: 10:43:48 batch_cost: 0.9232 data_cost: 0.0009 ips: 69.3218 images/s
[03/19 11:42:38] ppdet.engine INFO: Epoch: [201] [120/458] learning_rate: 0.078487 loss_vfl: 1.082550 loss_bbox: 0.467727 loss_dfl: 0.451020 loss: 2.004152 eta: 10:43:31 batch_cost: 0.8309 data_cost: 0.0009 ips: 77.0249 images/s
[03/19 11:42:58] ppdet.engine INFO: Epoch: [201] [140/458] learning_rate: 0.078424 loss_vfl: 1.014640 loss_bbox: 0.455927 loss_dfl: 0.425987 loss: 1.893413 eta: 10:43:13 batch_cost: 0.8480 data_cost: 0.0015 ips: 75.4732 images/s
[03/19 11:43:21] ppdet.engine INFO: Epoch: [201] [160/458] learning_rate: 0.078361 loss_vfl: 1.009848 loss_bbox: 0.456014 loss_dfl: 0.434758 loss: 1.907644 eta: 10:42:58 batch_cost: 1.0147 data_cost: 0.0037 ips: 63.0746 images/s
[03/19 11:43:42] ppdet.engine INFO: Epoch: [201] [180/458] learning_rate: 0.078298 loss_vfl: 1.043095 loss_bbox: 0.482534 loss_dfl: 0.432368 loss: 1.952819 eta: 10:42:41 batch_cost: 0.8458 data_cost: 0.0152 ips: 75.6715 images/s
[03/19 11:44:02] ppdet.engine INFO: Epoch: [201] [200/458] learning_rate: 0.078235 loss_vfl: 1.021787 loss_bbox: 0.450291 loss_dfl: 0.427062 loss: 1.887794 eta: 10:42:24 batch_cost: 0.8828 data_cost: 0.0019 ips: 72.5003 images/s
[03/19 11:44:19] ppdet.engine INFO: Epoch: [201] [220/458] learning_rate: 0.078172 loss_vfl: 1.036937 loss_bbox: 0.467365 loss_dfl: 0.438410 loss: 1.950336 eta: 10:42:06 batch_cost: 0.7318 data_cost: 0.0014 ips: 87.4524 images/s
[03/19 11:44:34] ppdet.engine INFO: Epoch: [201] [240/458] learning_rate: 0.078109 loss_vfl: 0.995852 loss_bbox: 0.454747 loss_dfl: 0.431781 loss: 1.885107 eta: 10:41:46 batch_cost: 0.6036 data_cost: 0.0058 ips: 106.0355 images/s
[03/19 11:44:54] ppdet.engine INFO: Epoch: [201] [260/458] learning_rate: 0.078046 loss_vfl: 1.041718 loss_bbox: 0.463321 loss_dfl: 0.422843 loss: 1.939602 eta: 10:41:29 batch_cost: 0.8589 data_cost: 0.0793 ips: 74.5143 images/s
[03/19 11:45:13] ppdet.engine INFO: Epoch: [201] [280/458] learning_rate: 0.077983 loss_vfl: 1.013049 loss_bbox: 0.464270 loss_dfl: 0.435374 loss: 1.912313 eta: 10:41:12 batch_cost: 0.8770 data_cost: 0.0739 ips: 72.9752 images/s
[03/19 11:45:35] ppdet.engine INFO: Epoch: [201] [300/458] learning_rate: 0.077920 loss_vfl: 1.001420 loss_bbox: 0.443312 loss_dfl: 0.426111 loss: 1.902119 eta: 10:40:56 batch_cost: 0.9763 data_cost: 0.0567 ips: 65.5553 images/s
[03/19 11:45:54] ppdet.engine INFO: Epoch: [201] [320/458] learning_rate: 0.077857 loss_vfl: 1.064266 loss_bbox: 0.453952 loss_dfl: 0.429929 loss: 1.946774 eta: 10:40:39 batch_cost: 0.7906 data_cost: 0.0048 ips: 80.9546 images/s
[03/19 11:46:15] ppdet.engine INFO: Epoch: [201] [340/458] learning_rate: 0.077794 loss_vfl: 1.008689 loss_bbox: 0.455587 loss_dfl: 0.424512 loss: 1.902488 eta: 10:40:23 batch_cost: 0.9459 data_cost: 0.0041 ips: 67.6573 images/s
[03/19 11:46:36] ppdet.engine INFO: Epoch: [201] [360/458] learning_rate: 0.077731 loss_vfl: 1.044596 loss_bbox: 0.474651 loss_dfl: 0.434253 loss: 1.952121 eta: 10:40:06 batch_cost: 0.9277 data_cost: 0.0041 ips: 68.9908 images/s
[03/19 11:46:56] ppdet.engine INFO: Epoch: [201] [380/458] learning_rate: 0.077668 loss_vfl: 1.044755 loss_bbox: 0.453031 loss_dfl: 0.437965 loss: 1.930263 eta: 10:39:48 batch_cost: 0.7487 data_cost: 0.0037 ips: 85.4784 images/s
[03/19 11:47:17] ppdet.engine INFO: Epoch: [201] [400/458] learning_rate: 0.077605 loss_vfl: 1.053953 loss_bbox: 0.465033 loss_dfl: 0.429609 loss: 1.944375 eta: 10:39:31 batch_cost: 0.9026 data_cost: 0.0049 ips: 70.9055 images/s
[03/19 11:47:37] ppdet.engine INFO: Epoch: [201] [420/458] learning_rate: 0.077543 loss_vfl: 1.009646 loss_bbox: 0.439363 loss_dfl: 0.422667 loss: 1.882013 eta: 10:39:15 batch_cost: 0.8659 data_cost: 0.0057 ips: 73.9149 images/s
[03/19 11:48:01] ppdet.engine INFO: Epoch: [201] [440/458] learning_rate: 0.077480 loss_vfl: 1.074581 loss_bbox: 0.469766 loss_dfl: 0.440134 loss: 1.967198 eta: 10:39:00 batch_cost: 1.0805 data_cost: 0.0065 ips: 59.2311 images/s
[03/19 11:48:22] ppdet.engine INFO: Epoch: [202] [  0/458] learning_rate: 0.077423 loss_vfl: 1.045063 loss_bbox: 0.483624 loss_dfl: 0.430404 loss: 1.945669 eta: 10:38:46 batch_cost: 1.0496 data_cost: 0.4509 ips: 60.9729 images/s
[03/19 11:48:42] ppdet.engine INFO: Epoch: [202] [ 20/458] learning_rate: 0.077360 loss_vfl: 1.012277 loss_bbox: 0.463869 loss_dfl: 0.427611 loss: 1.897449 eta: 10:38:28 batch_cost: 0.8258 data_cost: 0.0878 ips: 77.5043 images/s
[03/19 11:49:03] ppdet.engine INFO: Epoch: [202] [ 40/458] learning_rate: 0.077298 loss_vfl: 1.068952 loss_bbox: 0.485982 loss_dfl: 0.456719 loss: 2.002717 eta: 10:38:12 batch_cost: 0.9079 data_cost: 0.3462 ips: 70.4947 images/s
[03/19 11:49:26] ppdet.engine INFO: Epoch: [202] [ 60/458] learning_rate: 0.077235 loss_vfl: 1.044990 loss_bbox: 0.454954 loss_dfl: 0.431052 loss: 1.923857 eta: 10:37:56 batch_cost: 1.0291 data_cost: 0.4540 ips: 62.1882 images/s
[03/19 11:49:43] ppdet.engine INFO: Epoch: [202] [ 80/458] learning_rate: 0.077172 loss_vfl: 1.054181 loss_bbox: 0.487297 loss_dfl: 0.441403 loss: 1.995554 eta: 10:37:38 batch_cost: 0.7280 data_cost: 0.2151 ips: 87.9114 images/s
[03/19 11:50:04] ppdet.engine INFO: Epoch: [202] [100/458] learning_rate: 0.077109 loss_vfl: 1.044140 loss_bbox: 0.463744 loss_dfl: 0.431697 loss: 1.937378 eta: 10:37:23 batch_cost: 1.0225 data_cost: 0.2248 ips: 62.5937 images/s
[03/19 11:50:27] ppdet.engine INFO: Epoch: [202] [120/458] learning_rate: 0.077047 loss_vfl: 1.026319 loss_bbox: 0.451087 loss_dfl: 0.430893 loss: 1.901151 eta: 10:37:07 batch_cost: 1.0248 data_cost: 0.2034 ips: 62.4514 images/s
[03/19 11:50:47] ppdet.engine INFO: Epoch: [202] [140/458] learning_rate: 0.076984 loss_vfl: 1.029599 loss_bbox: 0.480714 loss_dfl: 0.424510 loss: 1.913694 eta: 10:36:51 batch_cost: 0.9028 data_cost: 0.0407 ips: 70.8894 images/s
[03/19 11:51:02] ppdet.engine INFO: Epoch: [202] [160/458] learning_rate: 0.076921 loss_vfl: 1.039887 loss_bbox: 0.453370 loss_dfl: 0.428482 loss: 1.919976 eta: 10:36:32 batch_cost: 0.7052 data_cost: 0.0024 ips: 90.7547 images/s
[03/19 11:51:18] ppdet.engine INFO: Epoch: [202] [180/458] learning_rate: 0.076859 loss_vfl: 1.016743 loss_bbox: 0.455308 loss_dfl: 0.427523 loss: 1.895431 eta: 10:36:14 batch_cost: 0.7071 data_cost: 0.0295 ips: 90.5061 images/s
[03/19 11:51:37] ppdet.engine INFO: Epoch: [202] [200/458] learning_rate: 0.076796 loss_vfl: 1.030288 loss_bbox: 0.445327 loss_dfl: 0.407449 loss: 1.844486 eta: 10:35:57 batch_cost: 0.8736 data_cost: 0.0038 ips: 73.2577 images/s
[03/19 11:51:57] ppdet.engine INFO: Epoch: [202] [220/458] learning_rate: 0.076733 loss_vfl: 1.078608 loss_bbox: 0.480734 loss_dfl: 0.454374 loss: 2.020765 eta: 10:35:40 batch_cost: 0.9250 data_cost: 0.0033 ips: 69.1924 images/s
[03/19 11:52:19] ppdet.engine INFO: Epoch: [202] [240/458] learning_rate: 0.076671 loss_vfl: 1.045793 loss_bbox: 0.458126 loss_dfl: 0.452901 loss: 1.960395 eta: 10:35:24 batch_cost: 0.9483 data_cost: 0.0333 ips: 67.4874 images/s
[03/19 11:52:38] ppdet.engine INFO: Epoch: [202] [260/458] learning_rate: 0.076608 loss_vfl: 1.063843 loss_bbox: 0.467422 loss_dfl: 0.442108 loss: 1.985287 eta: 10:35:08 batch_cost: 0.8917 data_cost: 0.2035 ips: 71.7714 images/s
[03/19 11:52:56] ppdet.engine INFO: Epoch: [202] [280/458] learning_rate: 0.076546 loss_vfl: 1.017623 loss_bbox: 0.481206 loss_dfl: 0.445120 loss: 1.955428 eta: 10:34:50 batch_cost: 0.8014 data_cost: 0.1977 ips: 79.8590 images/s
[03/19 11:53:19] ppdet.engine INFO: Epoch: [202] [300/458] learning_rate: 0.076483 loss_vfl: 1.069114 loss_bbox: 0.484370 loss_dfl: 0.450876 loss: 2.007818 eta: 10:34:34 batch_cost: 1.0191 data_cost: 0.1069 ips: 62.8002 images/s
[03/19 11:53:36] ppdet.engine INFO: Epoch: [202] [320/458] learning_rate: 0.076421 loss_vfl: 1.049059 loss_bbox: 0.476983 loss_dfl: 0.443964 loss: 1.969467 eta: 10:34:17 batch_cost: 0.7769 data_cost: 0.0480 ips: 82.3825 images/s
[03/19 11:53:56] ppdet.engine INFO: Epoch: [202] [340/458] learning_rate: 0.076358 loss_vfl: 0.986459 loss_bbox: 0.443410 loss_dfl: 0.410142 loss: 1.817306 eta: 10:34:00 batch_cost: 0.8950 data_cost: 0.0013 ips: 71.5090 images/s
[03/19 11:54:18] ppdet.engine INFO: Epoch: [202] [360/458] learning_rate: 0.076296 loss_vfl: 0.970864 loss_bbox: 0.444283 loss_dfl: 0.414182 loss: 1.827092 eta: 10:33:44 batch_cost: 1.0064 data_cost: 0.2233 ips: 63.5899 images/s
[03/19 11:54:39] ppdet.engine INFO: Epoch: [202] [380/458] learning_rate: 0.076233 loss_vfl: 1.009477 loss_bbox: 0.449300 loss_dfl: 0.415118 loss: 1.897381 eta: 10:33:28 batch_cost: 0.9399 data_cost: 0.1728 ips: 68.0911 images/s
[03/19 11:55:00] ppdet.engine INFO: Epoch: [202] [400/458] learning_rate: 0.076171 loss_vfl: 1.036076 loss_bbox: 0.471245 loss_dfl: 0.429829 loss: 1.902767 eta: 10:33:12 batch_cost: 0.9750 data_cost: 0.4194 ips: 65.6442 images/s
[03/19 11:55:21] ppdet.engine INFO: Epoch: [202] [420/458] learning_rate: 0.076108 loss_vfl: 1.015879 loss_bbox: 0.446902 loss_dfl: 0.415329 loss: 1.892640 eta: 10:32:56 batch_cost: 0.9622 data_cost: 0.4151 ips: 66.5128 images/s
[03/19 11:55:41] ppdet.engine INFO: Epoch: [202] [440/458] learning_rate: 0.076046 loss_vfl: 0.989320 loss_bbox: 0.447757 loss_dfl: 0.424624 loss: 1.857954 eta: 10:32:39 batch_cost: 0.8717 data_cost: 0.3653 ips: 73.4199 images/s
[03/19 11:56:03] ppdet.engine INFO: Epoch: [203] [  0/458] learning_rate: 0.075990 loss_vfl: 1.007010 loss_bbox: 0.445800 loss_dfl: 0.424604 loss: 1.891479 eta: 10:32:26 batch_cost: 1.2007 data_cost: 0.7690 ips: 53.3037 images/s
[03/19 11:56:25] ppdet.engine INFO: Epoch: [203] [ 20/458] learning_rate: 0.075927 loss_vfl: 1.050154 loss_bbox: 0.470836 loss_dfl: 0.434140 loss: 1.941760 eta: 10:32:10 batch_cost: 0.9986 data_cost: 0.4358 ips: 64.0885 images/s
[03/19 11:56:45] ppdet.engine INFO: Epoch: [203] [ 40/458] learning_rate: 0.075865 loss_vfl: 0.988550 loss_bbox: 0.465546 loss_dfl: 0.423373 loss: 1.886988 eta: 10:31:54 batch_cost: 0.9257 data_cost: 0.1982 ips: 69.1333 images/s
[03/19 11:57:06] ppdet.engine INFO: Epoch: [203] [ 60/458] learning_rate: 0.075802 loss_vfl: 0.970497 loss_bbox: 0.440732 loss_dfl: 0.406191 loss: 1.825829 eta: 10:31:38 batch_cost: 0.9387 data_cost: 0.0022 ips: 68.1766 images/s
[03/19 11:57:27] ppdet.engine INFO: Epoch: [203] [ 80/458] learning_rate: 0.075740 loss_vfl: 1.000663 loss_bbox: 0.454616 loss_dfl: 0.422530 loss: 1.872980 eta: 10:31:22 batch_cost: 0.9938 data_cost: 0.0008 ips: 64.3986 images/s
[03/19 11:57:44] ppdet.engine INFO: Epoch: [203] [100/458] learning_rate: 0.075678 loss_vfl: 1.000593 loss_bbox: 0.452491 loss_dfl: 0.420174 loss: 1.873977 eta: 10:31:04 batch_cost: 0.7364 data_cost: 0.0027 ips: 86.9046 images/s
[03/19 11:57:57] ppdet.engine INFO: Epoch: [203] [120/458] learning_rate: 0.075615 loss_vfl: 1.038920 loss_bbox: 0.471967 loss_dfl: 0.434943 loss: 1.942861 eta: 10:30:44 batch_cost: 0.5409 data_cost: 0.0011 ips: 118.3288 images/s
[03/19 11:58:15] ppdet.engine INFO: Epoch: [203] [140/458] learning_rate: 0.075553 loss_vfl: 1.023366 loss_bbox: 0.461435 loss_dfl: 0.424164 loss: 1.924963 eta: 10:30:26 batch_cost: 0.7910 data_cost: 0.2233 ips: 80.9137 images/s
[03/19 11:58:35] ppdet.engine INFO: Epoch: [203] [160/458] learning_rate: 0.075491 loss_vfl: 1.065535 loss_bbox: 0.488294 loss_dfl: 0.451847 loss: 2.024726 eta: 10:30:09 batch_cost: 0.8974 data_cost: 0.3746 ips: 71.3205 images/s
[03/19 11:58:58] ppdet.engine INFO: Epoch: [203] [180/458] learning_rate: 0.075429 loss_vfl: 1.071640 loss_bbox: 0.478250 loss_dfl: 0.451895 loss: 1.998227 eta: 10:29:54 batch_cost: 1.0573 data_cost: 0.4156 ips: 60.5298 images/s
[03/19 11:59:18] ppdet.engine INFO: Epoch: [203] [200/458] learning_rate: 0.075366 loss_vfl: 0.969051 loss_bbox: 0.427238 loss_dfl: 0.407646 loss: 1.814803 eta: 10:29:38 batch_cost: 0.9556 data_cost: 0.4175 ips: 66.9764 images/s
[03/19 11:59:36] ppdet.engine INFO: Epoch: [203] [220/458] learning_rate: 0.075304 loss_vfl: 1.045110 loss_bbox: 0.477631 loss_dfl: 0.441154 loss: 1.972981 eta: 10:29:21 batch_cost: 0.8213 data_cost: 0.2852 ips: 77.9265 images/s
[03/19 11:59:59] ppdet.engine INFO: Epoch: [203] [240/458] learning_rate: 0.075242 loss_vfl: 1.040624 loss_bbox: 0.464659 loss_dfl: 0.444524 loss: 1.957172 eta: 10:29:05 batch_cost: 1.0145 data_cost: 0.4619 ips: 63.0829 images/s
[03/19 12:00:20] ppdet.engine INFO: Epoch: [203] [260/458] learning_rate: 0.075180 loss_vfl: 1.072417 loss_bbox: 0.501336 loss_dfl: 0.456905 loss: 2.043734 eta: 10:28:49 batch_cost: 0.9713 data_cost: 0.4485 ips: 65.8920 images/s
[03/19 12:00:38] ppdet.engine INFO: Epoch: [203] [280/458] learning_rate: 0.075118 loss_vfl: 1.060161 loss_bbox: 0.465306 loss_dfl: 0.433204 loss: 1.975770 eta: 10:28:32 batch_cost: 0.8445 data_cost: 0.3328 ips: 75.7853 images/s
[03/19 12:01:02] ppdet.engine INFO: Epoch: [203] [300/458] learning_rate: 0.075055 loss_vfl: 1.028082 loss_bbox: 0.450129 loss_dfl: 0.423901 loss: 1.898898 eta: 10:28:17 batch_cost: 1.0715 data_cost: 0.5577 ips: 59.7268 images/s
[03/19 12:01:20] ppdet.engine INFO: Epoch: [203] [320/458] learning_rate: 0.074993 loss_vfl: 1.046057 loss_bbox: 0.482915 loss_dfl: 0.436130 loss: 1.975162 eta: 10:27:59 batch_cost: 0.8248 data_cost: 0.2173 ips: 77.5968 images/s
[03/19 12:01:41] ppdet.engine INFO: Epoch: [203] [340/458] learning_rate: 0.074931 loss_vfl: 1.032980 loss_bbox: 0.467675 loss_dfl: 0.423778 loss: 1.933226 eta: 10:27:43 batch_cost: 0.9742 data_cost: 0.3410 ips: 65.6964 images/s
[03/19 12:02:01] ppdet.engine INFO: Epoch: [203] [360/458] learning_rate: 0.074869 loss_vfl: 1.045468 loss_bbox: 0.476843 loss_dfl: 0.441981 loss: 1.966741 eta: 10:27:27 batch_cost: 0.9346 data_cost: 0.3504 ips: 68.4764 images/s
[03/19 12:02:20] ppdet.engine INFO: Epoch: [203] [380/458] learning_rate: 0.074807 loss_vfl: 1.022159 loss_bbox: 0.440320 loss_dfl: 0.417844 loss: 1.900892 eta: 10:27:10 batch_cost: 0.8816 data_cost: 0.2912 ips: 72.5937 images/s
[03/19 12:02:43] ppdet.engine INFO: Epoch: [203] [400/458] learning_rate: 0.074745 loss_vfl: 0.965778 loss_bbox: 0.434406 loss_dfl: 0.399668 loss: 1.798703 eta: 10:26:55 batch_cost: 1.0450 data_cost: 0.5932 ips: 61.2433 images/s
[03/19 12:03:02] ppdet.engine INFO: Epoch: [203] [420/458] learning_rate: 0.074683 loss_vfl: 1.036858 loss_bbox: 0.458554 loss_dfl: 0.436756 loss: 1.948180 eta: 10:26:38 batch_cost: 0.8364 data_cost: 0.3506 ips: 76.5166 images/s
[03/19 12:03:25] ppdet.engine INFO: Epoch: [203] [440/458] learning_rate: 0.074621 loss_vfl: 1.061467 loss_bbox: 0.477446 loss_dfl: 0.446970 loss: 1.978510 eta: 10:26:23 batch_cost: 1.0785 data_cost: 0.5889 ips: 59.3429 images/s
[03/19 12:03:46] ppdet.engine INFO: Epoch: [204] [  0/458] learning_rate: 0.074565 loss_vfl: 1.084830 loss_bbox: 0.471498 loss_dfl: 0.448990 loss: 2.026191 eta: 10:26:09 batch_cost: 1.1263 data_cost: 0.4998 ips: 56.8225 images/s
[03/19 12:04:06] ppdet.engine INFO: Epoch: [204] [ 20/458] learning_rate: 0.074503 loss_vfl: 1.046401 loss_bbox: 0.455437 loss_dfl: 0.429121 loss: 1.931247 eta: 10:25:52 batch_cost: 0.8782 data_cost: 0.0029 ips: 72.8775 images/s
[03/19 12:04:24] ppdet.engine INFO: Epoch: [204] [ 40/458] learning_rate: 0.074441 loss_vfl: 1.058649 loss_bbox: 0.468934 loss_dfl: 0.440613 loss: 1.975698 eta: 10:25:34 batch_cost: 0.7967 data_cost: 0.0030 ips: 80.3275 images/s
[03/19 12:04:41] ppdet.engine INFO: Epoch: [204] [ 60/458] learning_rate: 0.074379 loss_vfl: 1.001403 loss_bbox: 0.449246 loss_dfl: 0.424860 loss: 1.888625 eta: 10:25:17 batch_cost: 0.8064 data_cost: 0.0017 ips: 79.3615 images/s
[03/19 12:04:58] ppdet.engine INFO: Epoch: [204] [ 80/458] learning_rate: 0.074317 loss_vfl: 1.034856 loss_bbox: 0.456661 loss_dfl: 0.432057 loss: 1.923218 eta: 10:24:59 batch_cost: 0.7775 data_cost: 0.0022 ips: 82.3165 images/s
[03/19 12:05:15] ppdet.engine INFO: Epoch: [204] [100/458] learning_rate: 0.074255 loss_vfl: 0.981419 loss_bbox: 0.446468 loss_dfl: 0.418506 loss: 1.841720 eta: 10:24:41 batch_cost: 0.7574 data_cost: 0.0018 ips: 84.5046 images/s
[03/19 12:05:40] ppdet.engine INFO: Epoch: [204] [120/458] learning_rate: 0.074193 loss_vfl: 0.983590 loss_bbox: 0.424159 loss_dfl: 0.409921 loss: 1.819308 eta: 10:24:27 batch_cost: 1.1260 data_cost: 0.0017 ips: 56.8374 images/s
[03/19 12:06:02] ppdet.engine INFO: Epoch: [204] [140/458] learning_rate: 0.074132 loss_vfl: 1.015094 loss_bbox: 0.454268 loss_dfl: 0.422931 loss: 1.899160 eta: 10:24:11 batch_cost: 1.0039 data_cost: 0.0064 ips: 63.7530 images/s
[03/19 12:06:21] ppdet.engine INFO: Epoch: [204] [160/458] learning_rate: 0.074070 loss_vfl: 1.001954 loss_bbox: 0.448427 loss_dfl: 0.429026 loss: 1.882062 eta: 10:23:54 batch_cost: 0.8591 data_cost: 0.0040 ips: 74.4944 images/s
[03/19 12:06:42] ppdet.engine INFO: Epoch: [204] [180/458] learning_rate: 0.074008 loss_vfl: 0.993988 loss_bbox: 0.455761 loss_dfl: 0.420528 loss: 1.891338 eta: 10:23:38 batch_cost: 0.9776 data_cost: 0.0069 ips: 65.4670 images/s
[03/19 12:07:02] ppdet.engine INFO: Epoch: [204] [200/458] learning_rate: 0.073946 loss_vfl: 0.971687 loss_bbox: 0.436141 loss_dfl: 0.412339 loss: 1.815907 eta: 10:23:21 batch_cost: 0.8510 data_cost: 0.0051 ips: 75.2058 images/s
[03/19 12:07:21] ppdet.engine INFO: Epoch: [204] [220/458] learning_rate: 0.073884 loss_vfl: 0.985479 loss_bbox: 0.451353 loss_dfl: 0.421726 loss: 1.864680 eta: 10:23:04 batch_cost: 0.8855 data_cost: 0.0024 ips: 72.2788 images/s
[03/19 12:07:42] ppdet.engine INFO: Epoch: [204] [240/458] learning_rate: 0.073822 loss_vfl: 1.035817 loss_bbox: 0.467922 loss_dfl: 0.432185 loss: 1.939123 eta: 10:22:48 batch_cost: 0.9613 data_cost: 0.0057 ips: 66.5795 images/s
[03/19 12:08:04] ppdet.engine INFO: Epoch: [204] [260/458] learning_rate: 0.073761 loss_vfl: 1.023385 loss_bbox: 0.462990 loss_dfl: 0.427177 loss: 1.948044 eta: 10:22:32 batch_cost: 0.9970 data_cost: 0.0039 ips: 64.1915 images/s
[03/19 12:08:22] ppdet.engine INFO: Epoch: [204] [280/458] learning_rate: 0.073699 loss_vfl: 1.029616 loss_bbox: 0.446605 loss_dfl: 0.433019 loss: 1.930978 eta: 10:22:15 batch_cost: 0.8484 data_cost: 0.0026 ips: 75.4318 images/s
[03/19 12:08:42] ppdet.engine INFO: Epoch: [204] [300/458] learning_rate: 0.073637 loss_vfl: 1.037435 loss_bbox: 0.456889 loss_dfl: 0.419325 loss: 1.886599 eta: 10:21:58 batch_cost: 0.8893 data_cost: 0.0060 ips: 71.9648 images/s
[03/19 12:09:03] ppdet.engine INFO: Epoch: [204] [320/458] learning_rate: 0.073575 loss_vfl: 1.017906 loss_bbox: 0.469501 loss_dfl: 0.431064 loss: 1.903789 eta: 10:21:42 batch_cost: 0.9174 data_cost: 0.0011 ips: 69.7625 images/s
[03/19 12:09:24] ppdet.engine INFO: Epoch: [204] [340/458] learning_rate: 0.073514 loss_vfl: 1.030371 loss_bbox: 0.459998 loss_dfl: 0.423033 loss: 1.911032 eta: 10:21:26 batch_cost: 0.9562 data_cost: 0.0005 ips: 66.9316 images/s
[03/19 12:09:45] ppdet.engine INFO: Epoch: [204] [360/458] learning_rate: 0.073452 loss_vfl: 1.028797 loss_bbox: 0.466609 loss_dfl: 0.431956 loss: 1.922702 eta: 10:21:09 batch_cost: 0.9543 data_cost: 0.0003 ips: 67.0619 images/s
[03/19 12:10:04] ppdet.engine INFO: Epoch: [204] [380/458] learning_rate: 0.073390 loss_vfl: 1.029467 loss_bbox: 0.456920 loss_dfl: 0.429469 loss: 1.919700 eta: 10:20:52 batch_cost: 0.8670 data_cost: 0.0536 ips: 73.8212 images/s
[03/19 12:10:24] ppdet.engine INFO: Epoch: [204] [400/458] learning_rate: 0.073329 loss_vfl: 1.066950 loss_bbox: 0.462047 loss_dfl: 0.434518 loss: 1.950908 eta: 10:20:36 batch_cost: 0.9066 data_cost: 0.1455 ips: 70.5966 images/s
[03/19 12:10:46] ppdet.engine INFO: Epoch: [204] [420/458] learning_rate: 0.073267 loss_vfl: 1.003911 loss_bbox: 0.443727 loss_dfl: 0.408994 loss: 1.855298 eta: 10:20:20 batch_cost: 1.0414 data_cost: 0.1239 ips: 61.4562 images/s
[03/19 12:11:06] ppdet.engine INFO: Epoch: [204] [440/458] learning_rate: 0.073206 loss_vfl: 1.044395 loss_bbox: 0.453284 loss_dfl: 0.432501 loss: 1.943497 eta: 10:20:04 batch_cost: 0.9075 data_cost: 0.0036 ips: 70.5215 images/s
[03/19 12:11:24] ppdet.engine INFO: Epoch: [205] [  0/458] learning_rate: 0.073150 loss_vfl: 1.025453 loss_bbox: 0.441236 loss_dfl: 0.419117 loss: 1.888585 eta: 10:19:49 batch_cost: 0.9429 data_cost: 0.2826 ips: 67.8757 images/s
[03/19 12:11:39] ppdet.engine INFO: Epoch: [205] [ 20/458] learning_rate: 0.073088 loss_vfl: 0.997008 loss_bbox: 0.428977 loss_dfl: 0.407664 loss: 1.825184 eta: 10:19:30 batch_cost: 0.6350 data_cost: 0.0044 ips: 100.7813 images/s
[03/19 12:12:00] ppdet.engine INFO: Epoch: [205] [ 40/458] learning_rate: 0.073027 loss_vfl: 1.005620 loss_bbox: 0.424440 loss_dfl: 0.407433 loss: 1.804302 eta: 10:19:13 batch_cost: 0.9398 data_cost: 0.0024 ips: 68.0988 images/s
[03/19 12:12:20] ppdet.engine INFO: Epoch: [205] [ 60/458] learning_rate: 0.072965 loss_vfl: 0.994154 loss_bbox: 0.450731 loss_dfl: 0.408176 loss: 1.851388 eta: 10:18:56 batch_cost: 0.8350 data_cost: 0.0111 ips: 76.6491 images/s
[03/19 12:12:40] ppdet.engine INFO: Epoch: [205] [ 80/458] learning_rate: 0.072904 loss_vfl: 1.030827 loss_bbox: 0.460649 loss_dfl: 0.431754 loss: 1.917382 eta: 10:18:39 batch_cost: 0.9128 data_cost: 0.0320 ips: 70.1147 images/s
[03/19 12:13:00] ppdet.engine INFO: Epoch: [205] [100/458] learning_rate: 0.072842 loss_vfl: 0.989531 loss_bbox: 0.448249 loss_dfl: 0.413391 loss: 1.855183 eta: 10:18:22 batch_cost: 0.8534 data_cost: 0.1265 ips: 74.9919 images/s
[03/19 12:13:17] ppdet.engine INFO: Epoch: [205] [120/458] learning_rate: 0.072781 loss_vfl: 1.047987 loss_bbox: 0.458533 loss_dfl: 0.435715 loss: 1.914625 eta: 10:18:04 batch_cost: 0.7284 data_cost: 0.1155 ips: 87.8655 images/s
[03/19 12:13:39] ppdet.engine INFO: Epoch: [205] [140/458] learning_rate: 0.072719 loss_vfl: 1.009718 loss_bbox: 0.469216 loss_dfl: 0.432989 loss: 1.900382 eta: 10:17:48 batch_cost: 0.9668 data_cost: 0.2884 ips: 66.1947 images/s
[03/19 12:13:57] ppdet.engine INFO: Epoch: [205] [160/458] learning_rate: 0.072658 loss_vfl: 0.988749 loss_bbox: 0.461935 loss_dfl: 0.416650 loss: 1.867695 eta: 10:17:30 batch_cost: 0.7991 data_cost: 0.2009 ips: 80.0918 images/s
[03/19 12:14:17] ppdet.engine INFO: Epoch: [205] [180/458] learning_rate: 0.072597 loss_vfl: 0.986045 loss_bbox: 0.435224 loss_dfl: 0.403557 loss: 1.820905 eta: 10:17:13 batch_cost: 0.8505 data_cost: 0.2986 ips: 75.2497 images/s
[03/19 12:14:38] ppdet.engine INFO: Epoch: [205] [200/458] learning_rate: 0.072535 loss_vfl: 0.986084 loss_bbox: 0.432333 loss_dfl: 0.415877 loss: 1.854450 eta: 10:16:57 batch_cost: 0.9344 data_cost: 0.2967 ips: 68.4968 images/s
[03/19 12:14:58] ppdet.engine INFO: Epoch: [205] [220/458] learning_rate: 0.072474 loss_vfl: 1.035736 loss_bbox: 0.475812 loss_dfl: 0.434054 loss: 1.918919 eta: 10:16:40 batch_cost: 0.9035 data_cost: 0.2784 ips: 70.8389 images/s
[03/19 12:15:19] ppdet.engine INFO: Epoch: [205] [240/458] learning_rate: 0.072412 loss_vfl: 0.989213 loss_bbox: 0.431832 loss_dfl: 0.411225 loss: 1.827775 eta: 10:16:24 batch_cost: 0.8980 data_cost: 0.2142 ips: 71.2688 images/s
[03/19 12:15:35] ppdet.engine INFO: Epoch: [205] [260/458] learning_rate: 0.072351 loss_vfl: 1.055203 loss_bbox: 0.479785 loss_dfl: 0.450195 loss: 1.981728 eta: 10:16:05 batch_cost: 0.6991 data_cost: 0.0078 ips: 91.5503 images/s
[03/19 12:15:57] ppdet.engine INFO: Epoch: [205] [280/458] learning_rate: 0.072290 loss_vfl: 1.028861 loss_bbox: 0.452356 loss_dfl: 0.437892 loss: 1.924626 eta: 10:15:49 batch_cost: 0.9386 data_cost: 0.2989 ips: 68.1870 images/s
[03/19 12:16:15] ppdet.engine INFO: Epoch: [205] [300/458] learning_rate: 0.072228 loss_vfl: 1.033033 loss_bbox: 0.476018 loss_dfl: 0.443410 loss: 1.947453 eta: 10:15:31 batch_cost: 0.7928 data_cost: 0.1927 ips: 80.7289 images/s
[03/19 12:16:31] ppdet.engine INFO: Epoch: [205] [320/458] learning_rate: 0.072167 loss_vfl: 1.051040 loss_bbox: 0.475421 loss_dfl: 0.438505 loss: 1.955487 eta: 10:15:13 batch_cost: 0.7394 data_cost: 0.1853 ips: 86.5565 images/s
[03/19 12:16:54] ppdet.engine INFO: Epoch: [205] [340/458] learning_rate: 0.072106 loss_vfl: 1.041962 loss_bbox: 0.473179 loss_dfl: 0.430317 loss: 1.937012 eta: 10:14:57 batch_cost: 0.9660 data_cost: 0.2050 ips: 66.2496 images/s
[03/19 12:17:15] ppdet.engine INFO: Epoch: [205] [360/458] learning_rate: 0.072045 loss_vfl: 1.032911 loss_bbox: 0.449078 loss_dfl: 0.429335 loss: 1.932855 eta: 10:14:40 batch_cost: 0.8849 data_cost: 0.1628 ips: 72.3224 images/s
[03/19 12:17:35] ppdet.engine INFO: Epoch: [205] [380/458] learning_rate: 0.071983 loss_vfl: 1.037934 loss_bbox: 0.458176 loss_dfl: 0.426787 loss: 1.920336 eta: 10:14:23 batch_cost: 0.8983 data_cost: 0.2051 ips: 71.2436 images/s
[03/19 12:17:55] ppdet.engine INFO: Epoch: [205] [400/458] learning_rate: 0.071922 loss_vfl: 1.047217 loss_bbox: 0.464672 loss_dfl: 0.426116 loss: 1.937218 eta: 10:14:06 batch_cost: 0.8720 data_cost: 0.1328 ips: 73.3905 images/s
[03/19 12:18:14] ppdet.engine INFO: Epoch: [205] [420/458] learning_rate: 0.071861 loss_vfl: 1.051335 loss_bbox: 0.486351 loss_dfl: 0.440271 loss: 1.978606 eta: 10:13:49 batch_cost: 0.8144 data_cost: 0.1136 ips: 78.5860 images/s
[03/19 12:18:29] ppdet.engine INFO: Epoch: [205] [440/458] learning_rate: 0.071800 loss_vfl: 1.087208 loss_bbox: 0.494582 loss_dfl: 0.459148 loss: 2.067960 eta: 10:13:30 batch_cost: 0.6921 data_cost: 0.1674 ips: 92.4678 images/s
[03/19 12:18:48] ppdet.engine INFO: Epoch: [206] [  0/458] learning_rate: 0.071745 loss_vfl: 1.058030 loss_bbox: 0.470987 loss_dfl: 0.446134 loss: 1.960450 eta: 10:13:15 batch_cost: 0.9211 data_cost: 0.4692 ips: 69.4849 images/s
[03/19 12:19:05] ppdet.engine INFO: Epoch: [206] [ 20/458] learning_rate: 0.071683 loss_vfl: 1.055621 loss_bbox: 0.463990 loss_dfl: 0.444610 loss: 1.982225 eta: 10:12:57 batch_cost: 0.7382 data_cost: 0.0091 ips: 86.7029 images/s
[03/19 12:19:24] ppdet.engine INFO: Epoch: [206] [ 40/458] learning_rate: 0.071622 loss_vfl: 1.062723 loss_bbox: 0.461954 loss_dfl: 0.428910 loss: 1.959564 eta: 10:12:39 batch_cost: 0.7484 data_cost: 0.0101 ips: 85.5154 images/s
[03/19 12:19:46] ppdet.engine INFO: Epoch: [206] [ 60/458] learning_rate: 0.071561 loss_vfl: 1.092391 loss_bbox: 0.486396 loss_dfl: 0.446008 loss: 1.996218 eta: 10:12:23 batch_cost: 0.9472 data_cost: 0.2491 ips: 67.5663 images/s
[03/19 12:20:06] ppdet.engine INFO: Epoch: [206] [ 80/458] learning_rate: 0.071500 loss_vfl: 0.962310 loss_bbox: 0.422895 loss_dfl: 0.401584 loss: 1.769472 eta: 10:12:06 batch_cost: 0.8365 data_cost: 0.1855 ips: 76.5055 images/s
[03/19 12:20:26] ppdet.engine INFO: Epoch: [206] [100/458] learning_rate: 0.071439 loss_vfl: 1.051539 loss_bbox: 0.477714 loss_dfl: 0.449991 loss: 2.020854 eta: 10:11:48 batch_cost: 0.8366 data_cost: 0.0920 ips: 76.5036 images/s
[03/19 12:20:45] ppdet.engine INFO: Epoch: [206] [120/458] learning_rate: 0.071378 loss_vfl: 0.978150 loss_bbox: 0.441435 loss_dfl: 0.417329 loss: 1.864175 eta: 10:11:31 batch_cost: 0.7872 data_cost: 0.0307 ips: 81.2999 images/s
[03/19 12:21:08] ppdet.engine INFO: Epoch: [206] [140/458] learning_rate: 0.071317 loss_vfl: 1.002907 loss_bbox: 0.445429 loss_dfl: 0.420881 loss: 1.876160 eta: 10:11:14 batch_cost: 0.9411 data_cost: 0.0041 ips: 68.0088 images/s
[03/19 12:21:27] ppdet.engine INFO: Epoch: [206] [160/458] learning_rate: 0.071256 loss_vfl: 1.001764 loss_bbox: 0.457209 loss_dfl: 0.414893 loss: 1.855693 eta: 10:10:57 batch_cost: 0.8320 data_cost: 0.0049 ips: 76.9193 images/s
[03/19 12:21:48] ppdet.engine INFO: Epoch: [206] [180/458] learning_rate: 0.071195 loss_vfl: 1.053898 loss_bbox: 0.475907 loss_dfl: 0.446160 loss: 1.973105 eta: 10:10:40 batch_cost: 0.8912 data_cost: 0.0098 ips: 71.8135 images/s
[03/19 12:22:10] ppdet.engine INFO: Epoch: [206] [200/458] learning_rate: 0.071134 loss_vfl: 1.032871 loss_bbox: 0.454942 loss_dfl: 0.411792 loss: 1.869836 eta: 10:10:24 batch_cost: 0.9886 data_cost: 0.0116 ips: 64.7405 images/s
[03/19 12:22:29] ppdet.engine INFO: Epoch: [206] [220/458] learning_rate: 0.071073 loss_vfl: 1.061466 loss_bbox: 0.466935 loss_dfl: 0.440530 loss: 1.971676 eta: 10:10:07 batch_cost: 0.8329 data_cost: 0.0052 ips: 76.8395 images/s
[03/19 12:22:49] ppdet.engine INFO: Epoch: [206] [240/458] learning_rate: 0.071012 loss_vfl: 0.984024 loss_bbox: 0.446485 loss_dfl: 0.409672 loss: 1.832838 eta: 10:09:50 batch_cost: 0.8510 data_cost: 0.0058 ips: 75.2088 images/s
[03/19 12:23:08] ppdet.engine INFO: Epoch: [206] [260/458] learning_rate: 0.070951 loss_vfl: 1.009017 loss_bbox: 0.439261 loss_dfl: 0.417451 loss: 1.869993 eta: 10:09:32 batch_cost: 0.7882 data_cost: 0.0009 ips: 81.1958 images/s
[03/19 12:23:29] ppdet.engine INFO: Epoch: [206] [280/458] learning_rate: 0.070890 loss_vfl: 1.006310 loss_bbox: 0.452456 loss_dfl: 0.420677 loss: 1.874219 eta: 10:09:16 batch_cost: 0.9208 data_cost: 0.0058 ips: 69.5073 images/s
[03/19 12:23:49] ppdet.engine INFO: Epoch: [206] [300/458] learning_rate: 0.070829 loss_vfl: 1.051953 loss_bbox: 0.475621 loss_dfl: 0.451074 loss: 1.960748 eta: 10:08:59 batch_cost: 0.8848 data_cost: 0.0036 ips: 72.3329 images/s
[03/19 12:24:05] ppdet.engine INFO: Epoch: [206] [320/458] learning_rate: 0.070768 loss_vfl: 1.019517 loss_bbox: 0.480802 loss_dfl: 0.438559 loss: 1.943111 eta: 10:08:40 batch_cost: 0.6126 data_cost: 0.0032 ips: 104.4796 images/s
[03/19 12:24:26] ppdet.engine INFO: Epoch: [206] [340/458] learning_rate: 0.070708 loss_vfl: 0.992559 loss_bbox: 0.454855 loss_dfl: 0.419543 loss: 1.855183 eta: 10:08:23 batch_cost: 0.8703 data_cost: 0.2590 ips: 73.5414 images/s
[03/19 12:24:48] ppdet.engine INFO: Epoch: [206] [360/458] learning_rate: 0.070647 loss_vfl: 1.042669 loss_bbox: 0.448141 loss_dfl: 0.432507 loss: 1.938645 eta: 10:08:07 batch_cost: 1.0174 data_cost: 0.3887 ips: 62.9079 images/s
[03/19 12:25:06] ppdet.engine INFO: Epoch: [206] [380/458] learning_rate: 0.070586 loss_vfl: 0.981349 loss_bbox: 0.453734 loss_dfl: 0.424536 loss: 1.863340 eta: 10:07:50 batch_cost: 0.8086 data_cost: 0.1812 ips: 79.1458 images/s
[03/19 12:25:28] ppdet.engine INFO: Epoch: [206] [400/458] learning_rate: 0.070525 loss_vfl: 1.049516 loss_bbox: 0.472953 loss_dfl: 0.437969 loss: 1.949813 eta: 10:07:34 batch_cost: 1.0047 data_cost: 0.3839 ips: 63.6998 images/s
[03/19 12:25:42] ppdet.engine INFO: Epoch: [206] [420/458] learning_rate: 0.070464 loss_vfl: 1.058556 loss_bbox: 0.475580 loss_dfl: 0.449805 loss: 1.987602 eta: 10:07:15 batch_cost: 0.5991 data_cost: 0.1624 ips: 106.8300 images/s
[03/19 12:25:56] ppdet.engine INFO: Epoch: [206] [440/458] learning_rate: 0.070404 loss_vfl: 1.004582 loss_bbox: 0.438765 loss_dfl: 0.423107 loss: 1.890838 eta: 10:06:55 batch_cost: 0.5899 data_cost: 0.1554 ips: 108.4880 images/s
[03/19 12:26:14] ppdet.engine INFO: Epoch: [207] [  0/458] learning_rate: 0.070349 loss_vfl: 1.003333 loss_bbox: 0.443532 loss_dfl: 0.426696 loss: 1.869982 eta: 10:06:40 batch_cost: 0.8282 data_cost: 0.4006 ips: 77.2741 images/s
[03/19 12:26:35] ppdet.engine INFO: Epoch: [207] [ 20/458] learning_rate: 0.070288 loss_vfl: 1.024629 loss_bbox: 0.480851 loss_dfl: 0.438481 loss: 1.927172 eta: 10:06:24 batch_cost: 0.9486 data_cost: 0.2163 ips: 67.4677 images/s
[03/19 12:26:56] ppdet.engine INFO: Epoch: [207] [ 40/458] learning_rate: 0.070227 loss_vfl: 1.030317 loss_bbox: 0.479467 loss_dfl: 0.436711 loss: 1.940526 eta: 10:06:07 batch_cost: 0.8479 data_cost: 0.2791 ips: 75.4850 images/s
[03/19 12:27:15] ppdet.engine INFO: Epoch: [207] [ 60/458] learning_rate: 0.070167 loss_vfl: 1.006283 loss_bbox: 0.449062 loss_dfl: 0.425363 loss: 1.880871 eta: 10:05:49 batch_cost: 0.8501 data_cost: 0.3086 ips: 75.2831 images/s
[03/19 12:27:34] ppdet.engine INFO: Epoch: [207] [ 80/458] learning_rate: 0.070106 loss_vfl: 1.020762 loss_bbox: 0.452835 loss_dfl: 0.434764 loss: 1.906561 eta: 10:05:32 batch_cost: 0.8583 data_cost: 0.2107 ips: 74.5681 images/s
[03/19 12:27:53] ppdet.engine INFO: Epoch: [207] [100/458] learning_rate: 0.070045 loss_vfl: 1.032337 loss_bbox: 0.461046 loss_dfl: 0.442537 loss: 1.936681 eta: 10:05:15 batch_cost: 0.8107 data_cost: 0.2374 ips: 78.9459 images/s
[03/19 12:28:15] ppdet.engine INFO: Epoch: [207] [120/458] learning_rate: 0.069985 loss_vfl: 1.053715 loss_bbox: 0.467967 loss_dfl: 0.438816 loss: 1.942959 eta: 10:04:59 batch_cost: 0.9710 data_cost: 0.3412 ips: 65.9090 images/s
[03/19 12:28:33] ppdet.engine INFO: Epoch: [207] [140/458] learning_rate: 0.069924 loss_vfl: 1.043009 loss_bbox: 0.463507 loss_dfl: 0.441061 loss: 1.946831 eta: 10:04:42 batch_cost: 0.8600 data_cost: 0.3122 ips: 74.4190 images/s
[03/19 12:28:52] ppdet.engine INFO: Epoch: [207] [160/458] learning_rate: 0.069864 loss_vfl: 1.010106 loss_bbox: 0.461724 loss_dfl: 0.416089 loss: 1.880679 eta: 10:04:25 batch_cost: 0.8513 data_cost: 0.3258 ips: 75.1768 images/s
[03/19 12:29:13] ppdet.engine INFO: Epoch: [207] [180/458] learning_rate: 0.069803 loss_vfl: 1.009720 loss_bbox: 0.441420 loss_dfl: 0.422870 loss: 1.851313 eta: 10:04:08 batch_cost: 0.9448 data_cost: 0.4110 ips: 67.7414 images/s
[03/19 12:29:30] ppdet.engine INFO: Epoch: [207] [200/458] learning_rate: 0.069742 loss_vfl: 0.999140 loss_bbox: 0.446447 loss_dfl: 0.415923 loss: 1.849258 eta: 10:03:50 batch_cost: 0.6872 data_cost: 0.0609 ips: 93.1339 images/s
[03/19 12:29:49] ppdet.engine INFO: Epoch: [207] [220/458] learning_rate: 0.069682 loss_vfl: 1.022488 loss_bbox: 0.458121 loss_dfl: 0.432664 loss: 1.907690 eta: 10:03:33 batch_cost: 0.8620 data_cost: 0.3026 ips: 74.2443 images/s
[03/19 12:30:09] ppdet.engine INFO: Epoch: [207] [240/458] learning_rate: 0.069621 loss_vfl: 1.006431 loss_bbox: 0.455277 loss_dfl: 0.427973 loss: 1.888205 eta: 10:03:16 batch_cost: 0.8543 data_cost: 0.0921 ips: 74.9137 images/s
[03/19 12:30:29] ppdet.engine INFO: Epoch: [207] [260/458] learning_rate: 0.069561 loss_vfl: 0.978037 loss_bbox: 0.447451 loss_dfl: 0.414145 loss: 1.845713 eta: 10:02:59 batch_cost: 0.9189 data_cost: 0.0034 ips: 69.6479 images/s
[03/19 12:30:49] ppdet.engine INFO: Epoch: [207] [280/458] learning_rate: 0.069500 loss_vfl: 1.072607 loss_bbox: 0.469263 loss_dfl: 0.446248 loss: 1.994103 eta: 10:02:42 batch_cost: 0.8560 data_cost: 0.0046 ips: 74.7637 images/s
[03/19 12:31:09] ppdet.engine INFO: Epoch: [207] [300/458] learning_rate: 0.069440 loss_vfl: 1.008297 loss_bbox: 0.461919 loss_dfl: 0.426345 loss: 1.883094 eta: 10:02:25 batch_cost: 0.8568 data_cost: 0.2019 ips: 74.6976 images/s
[03/19 12:31:27] ppdet.engine INFO: Epoch: [207] [320/458] learning_rate: 0.069380 loss_vfl: 0.991282 loss_bbox: 0.447684 loss_dfl: 0.421309 loss: 1.844360 eta: 10:02:07 batch_cost: 0.7889 data_cost: 0.0020 ips: 81.1206 images/s
[03/19 12:31:47] ppdet.engine INFO: Epoch: [207] [340/458] learning_rate: 0.069319 loss_vfl: 1.083430 loss_bbox: 0.476935 loss_dfl: 0.436582 loss: 1.995762 eta: 10:01:51 batch_cost: 0.9101 data_cost: 0.1401 ips: 70.3237 images/s
[03/19 12:32:06] ppdet.engine INFO: Epoch: [207] [360/458] learning_rate: 0.069259 loss_vfl: 1.026744 loss_bbox: 0.459620 loss_dfl: 0.426030 loss: 1.901366 eta: 10:01:33 batch_cost: 0.8116 data_cost: 0.0066 ips: 78.8590 images/s
[03/19 12:32:25] ppdet.engine INFO: Epoch: [207] [380/458] learning_rate: 0.069198 loss_vfl: 1.012376 loss_bbox: 0.439294 loss_dfl: 0.410373 loss: 1.872271 eta: 10:01:16 batch_cost: 0.8077 data_cost: 0.1581 ips: 79.2394 images/s
[03/19 12:32:44] ppdet.engine INFO: Epoch: [207] [400/458] learning_rate: 0.069138 loss_vfl: 1.048257 loss_bbox: 0.490515 loss_dfl: 0.450759 loss: 2.018869 eta: 10:00:59 batch_cost: 0.8414 data_cost: 0.2297 ips: 76.0600 images/s
[03/19 12:33:02] ppdet.engine INFO: Epoch: [207] [420/458] learning_rate: 0.069078 loss_vfl: 1.050388 loss_bbox: 0.482385 loss_dfl: 0.442063 loss: 1.984866 eta: 10:00:41 batch_cost: 0.8116 data_cost: 0.2567 ips: 78.8576 images/s
[03/19 12:33:16] ppdet.engine INFO: Epoch: [207] [440/458] learning_rate: 0.069017 loss_vfl: 1.032022 loss_bbox: 0.471974 loss_dfl: 0.434352 loss: 1.941151 eta: 10:00:21 batch_cost: 0.5654 data_cost: 0.1338 ips: 113.1917 images/s
[03/19 12:33:35] ppdet.engine INFO: Epoch: [208] [  0/458] learning_rate: 0.068963 loss_vfl: 0.971806 loss_bbox: 0.450280 loss_dfl: 0.413020 loss: 1.832554 eta: 10:00:06 batch_cost: 0.8583 data_cost: 0.3388 ips: 74.5676 images/s
[03/19 12:33:56] ppdet.engine INFO: Epoch: [208] [ 20/458] learning_rate: 0.068903 loss_vfl: 1.010802 loss_bbox: 0.450919 loss_dfl: 0.422525 loss: 1.892168 eta: 9:59:50 batch_cost: 0.9726 data_cost: 0.4175 ips: 65.8051 images/s
[03/19 12:34:13] ppdet.engine INFO: Epoch: [208] [ 40/458] learning_rate: 0.068842 loss_vfl: 1.032976 loss_bbox: 0.463422 loss_dfl: 0.438505 loss: 1.932317 eta: 9:59:32 batch_cost: 0.7812 data_cost: 0.2097 ips: 81.9280 images/s
[03/19 12:34:32] ppdet.engine INFO: Epoch: [208] [ 60/458] learning_rate: 0.068782 loss_vfl: 1.031132 loss_bbox: 0.478149 loss_dfl: 0.442300 loss: 1.961330 eta: 9:59:15 batch_cost: 0.8403 data_cost: 0.2508 ips: 76.1673 images/s
[03/19 12:34:53] ppdet.engine INFO: Epoch: [208] [ 80/458] learning_rate: 0.068722 loss_vfl: 1.012204 loss_bbox: 0.454208 loss_dfl: 0.423328 loss: 1.874419 eta: 9:58:59 batch_cost: 0.9459 data_cost: 0.1459 ips: 67.6610 images/s
[03/19 12:35:12] ppdet.engine INFO: Epoch: [208] [100/458] learning_rate: 0.068662 loss_vfl: 0.965781 loss_bbox: 0.441960 loss_dfl: 0.410886 loss: 1.825401 eta: 9:58:42 batch_cost: 0.8611 data_cost: 0.3632 ips: 74.3203 images/s
[03/19 12:35:35] ppdet.engine INFO: Epoch: [208] [120/458] learning_rate: 0.068602 loss_vfl: 1.021587 loss_bbox: 0.467924 loss_dfl: 0.430287 loss: 1.868125 eta: 9:58:27 batch_cost: 1.0657 data_cost: 0.5344 ips: 60.0522 images/s
[03/19 12:35:55] ppdet.engine INFO: Epoch: [208] [140/458] learning_rate: 0.068541 loss_vfl: 1.017603 loss_bbox: 0.451529 loss_dfl: 0.420746 loss: 1.858898 eta: 9:58:10 batch_cost: 0.8879 data_cost: 0.3239 ips: 72.0831 images/s
[03/19 12:36:13] ppdet.engine INFO: Epoch: [208] [160/458] learning_rate: 0.068481 loss_vfl: 1.061087 loss_bbox: 0.458301 loss_dfl: 0.450290 loss: 1.981928 eta: 9:57:53 batch_cost: 0.8343 data_cost: 0.3352 ips: 76.7141 images/s
[03/19 12:36:34] ppdet.engine INFO: Epoch: [208] [180/458] learning_rate: 0.068421 loss_vfl: 1.003976 loss_bbox: 0.447439 loss_dfl: 0.420201 loss: 1.871827 eta: 9:57:37 batch_cost: 0.9731 data_cost: 0.4671 ips: 65.7700 images/s
[03/19 12:36:55] ppdet.engine INFO: Epoch: [208] [200/458] learning_rate: 0.068361 loss_vfl: 1.004107 loss_bbox: 0.453209 loss_dfl: 0.416827 loss: 1.873855 eta: 9:57:21 batch_cost: 0.9768 data_cost: 0.4510 ips: 65.5187 images/s
[03/19 12:37:14] ppdet.engine INFO: Epoch: [208] [220/458] learning_rate: 0.068301 loss_vfl: 0.997689 loss_bbox: 0.433066 loss_dfl: 0.419564 loss: 1.858274 eta: 9:57:03 batch_cost: 0.7982 data_cost: 0.3423 ips: 80.1781 images/s
[03/19 12:37:37] ppdet.engine INFO: Epoch: [208] [240/458] learning_rate: 0.068241 loss_vfl: 1.010076 loss_bbox: 0.446032 loss_dfl: 0.426905 loss: 1.886110 eta: 9:56:48 batch_cost: 1.0557 data_cost: 0.5382 ips: 60.6242 images/s
[03/19 12:37:56] ppdet.engine INFO: Epoch: [208] [260/458] learning_rate: 0.068181 loss_vfl: 1.046276 loss_bbox: 0.458780 loss_dfl: 0.435918 loss: 1.960691 eta: 9:56:31 batch_cost: 0.8581 data_cost: 0.3331 ips: 74.5853 images/s
[03/19 12:38:16] ppdet.engine INFO: Epoch: [208] [280/458] learning_rate: 0.068121 loss_vfl: 1.013047 loss_bbox: 0.462695 loss_dfl: 0.421368 loss: 1.882131 eta: 9:56:14 batch_cost: 0.8988 data_cost: 0.3361 ips: 71.2099 images/s
[03/19 12:38:35] ppdet.engine INFO: Epoch: [208] [300/458] learning_rate: 0.068061 loss_vfl: 1.009940 loss_bbox: 0.466256 loss_dfl: 0.424227 loss: 1.874019 eta: 9:55:57 batch_cost: 0.8715 data_cost: 0.0604 ips: 73.4400 images/s
[03/19 12:38:55] ppdet.engine INFO: Epoch: [208] [320/458] learning_rate: 0.068001 loss_vfl: 1.035160 loss_bbox: 0.462917 loss_dfl: 0.437508 loss: 1.936158 eta: 9:55:40 batch_cost: 0.8957 data_cost: 0.1703 ips: 71.4546 images/s
[03/19 12:39:15] ppdet.engine INFO: Epoch: [208] [340/458] learning_rate: 0.067941 loss_vfl: 1.017462 loss_bbox: 0.447162 loss_dfl: 0.421901 loss: 1.895435 eta: 9:55:24 batch_cost: 0.9189 data_cost: 0.3402 ips: 69.6481 images/s
[03/19 12:39:33] ppdet.engine INFO: Epoch: [208] [360/458] learning_rate: 0.067881 loss_vfl: 0.995694 loss_bbox: 0.431754 loss_dfl: 0.414428 loss: 1.847740 eta: 9:55:06 batch_cost: 0.8049 data_cost: 0.2051 ips: 79.5111 images/s
[03/19 12:39:53] ppdet.engine INFO: Epoch: [208] [380/458] learning_rate: 0.067821 loss_vfl: 0.968259 loss_bbox: 0.445138 loss_dfl: 0.411005 loss: 1.824925 eta: 9:54:50 batch_cost: 0.9217 data_cost: 0.3574 ips: 69.4360 images/s
[03/19 12:40:09] ppdet.engine INFO: Epoch: [208] [400/458] learning_rate: 0.067761 loss_vfl: 1.007940 loss_bbox: 0.447088 loss_dfl: 0.411996 loss: 1.870887 eta: 9:54:31 batch_cost: 0.7212 data_cost: 0.1959 ips: 88.7369 images/s
[03/19 12:40:27] ppdet.engine INFO: Epoch: [208] [420/458] learning_rate: 0.067701 loss_vfl: 1.061990 loss_bbox: 0.473294 loss_dfl: 0.435844 loss: 1.963301 eta: 9:54:13 batch_cost: 0.7565 data_cost: 0.2346 ips: 84.5983 images/s
[03/19 12:40:42] ppdet.engine INFO: Epoch: [208] [440/458] learning_rate: 0.067641 loss_vfl: 1.014403 loss_bbox: 0.452371 loss_dfl: 0.430080 loss: 1.897200 eta: 9:53:55 batch_cost: 0.6694 data_cost: 0.2163 ips: 95.6063 images/s
[03/19 12:41:04] ppdet.engine INFO: Epoch: [209] [  0/458] learning_rate: 0.067587 loss_vfl: 1.049696 loss_bbox: 0.450408 loss_dfl: 0.432581 loss: 1.939721 eta: 9:53:41 batch_cost: 1.0311 data_cost: 0.5958 ips: 62.0692 images/s
[03/19 12:41:25] ppdet.engine INFO: Epoch: [209] [ 20/458] learning_rate: 0.067527 loss_vfl: 1.061191 loss_bbox: 0.472140 loss_dfl: 0.459068 loss: 2.026671 eta: 9:53:25 batch_cost: 0.9366 data_cost: 0.2299 ips: 68.3311 images/s
[03/19 12:41:44] ppdet.engine INFO: Epoch: [209] [ 40/458] learning_rate: 0.067467 loss_vfl: 1.054928 loss_bbox: 0.451117 loss_dfl: 0.436185 loss: 1.996245 eta: 9:53:08 batch_cost: 0.8338 data_cost: 0.2830 ips: 76.7549 images/s
[03/19 12:42:06] ppdet.engine INFO: Epoch: [209] [ 60/458] learning_rate: 0.067408 loss_vfl: 1.010906 loss_bbox: 0.432236 loss_dfl: 0.413130 loss: 1.870154 eta: 9:52:52 batch_cost: 1.0422 data_cost: 0.5338 ips: 61.4108 images/s
[03/19 12:42:23] ppdet.engine INFO: Epoch: [209] [ 80/458] learning_rate: 0.067348 loss_vfl: 0.998204 loss_bbox: 0.450971 loss_dfl: 0.417057 loss: 1.855343 eta: 9:52:34 batch_cost: 0.7269 data_cost: 0.2072 ips: 88.0459 images/s
[03/19 12:42:43] ppdet.engine INFO: Epoch: [209] [100/458] learning_rate: 0.067288 loss_vfl: 1.017447 loss_bbox: 0.462656 loss_dfl: 0.426664 loss: 1.923625 eta: 9:52:17 batch_cost: 0.9288 data_cost: 0.3276 ips: 68.9074 images/s
[03/19 12:43:02] ppdet.engine INFO: Epoch: [209] [120/458] learning_rate: 0.067228 loss_vfl: 1.031522 loss_bbox: 0.450424 loss_dfl: 0.434660 loss: 1.912171 eta: 9:52:00 batch_cost: 0.7870 data_cost: 0.1916 ips: 81.3250 images/s
[03/19 12:43:22] ppdet.engine INFO: Epoch: [209] [140/458] learning_rate: 0.067169 loss_vfl: 1.049579 loss_bbox: 0.476971 loss_dfl: 0.442915 loss: 1.985704 eta: 9:51:43 batch_cost: 0.9304 data_cost: 0.3451 ips: 68.7864 images/s
[03/19 12:43:40] ppdet.engine INFO: Epoch: [209] [160/458] learning_rate: 0.067109 loss_vfl: 0.994874 loss_bbox: 0.439298 loss_dfl: 0.418187 loss: 1.860008 eta: 9:51:26 batch_cost: 0.7804 data_cost: 0.1811 ips: 82.0136 images/s
[03/19 12:44:01] ppdet.engine INFO: Epoch: [209] [180/458] learning_rate: 0.067049 loss_vfl: 1.055101 loss_bbox: 0.444969 loss_dfl: 0.428809 loss: 1.935339 eta: 9:51:09 batch_cost: 0.8984 data_cost: 0.3221 ips: 71.2373 images/s
[03/19 12:44:20] ppdet.engine INFO: Epoch: [209] [200/458] learning_rate: 0.066990 loss_vfl: 1.063502 loss_bbox: 0.485020 loss_dfl: 0.451534 loss: 2.002258 eta: 9:50:52 batch_cost: 0.8748 data_cost: 0.2410 ips: 73.1591 images/s
[03/19 12:44:39] ppdet.engine INFO: Epoch: [209] [220/458] learning_rate: 0.066930 loss_vfl: 1.032046 loss_bbox: 0.460105 loss_dfl: 0.436196 loss: 1.958468 eta: 9:50:35 batch_cost: 0.8545 data_cost: 0.1726 ips: 74.8933 images/s
[03/19 12:44:59] ppdet.engine INFO: Epoch: [209] [240/458] learning_rate: 0.066870 loss_vfl: 1.049528 loss_bbox: 0.479372 loss_dfl: 0.446208 loss: 2.001625 eta: 9:50:18 batch_cost: 0.8961 data_cost: 0.3166 ips: 71.4202 images/s
[03/19 12:45:21] ppdet.engine INFO: Epoch: [209] [260/458] learning_rate: 0.066811 loss_vfl: 1.063333 loss_bbox: 0.477000 loss_dfl: 0.446423 loss: 1.983800 eta: 9:50:02 batch_cost: 0.9850 data_cost: 0.3713 ips: 64.9761 images/s
[03/19 12:45:37] ppdet.engine INFO: Epoch: [209] [280/458] learning_rate: 0.066751 loss_vfl: 0.993366 loss_bbox: 0.446546 loss_dfl: 0.410261 loss: 1.861330 eta: 9:49:44 batch_cost: 0.7301 data_cost: 0.0073 ips: 87.6583 images/s
[03/19 12:46:01] ppdet.engine INFO: Epoch: [209] [300/458] learning_rate: 0.066691 loss_vfl: 1.036000 loss_bbox: 0.480011 loss_dfl: 0.450301 loss: 1.986772 eta: 9:49:29 batch_cost: 1.1008 data_cost: 0.0599 ips: 58.1409 images/s
[03/19 12:46:19] ppdet.engine INFO: Epoch: [209] [320/458] learning_rate: 0.066632 loss_vfl: 1.054167 loss_bbox: 0.471000 loss_dfl: 0.435488 loss: 1.951309 eta: 9:49:12 batch_cost: 0.8482 data_cost: 0.0031 ips: 75.4538 images/s
[03/19 12:46:38] ppdet.engine INFO: Epoch: [209] [340/458] learning_rate: 0.066572 loss_vfl: 1.024072 loss_bbox: 0.471389 loss_dfl: 0.444959 loss: 1.924006 eta: 9:48:54 batch_cost: 0.7872 data_cost: 0.0013 ips: 81.3058 images/s
[03/19 12:47:00] ppdet.engine INFO: Epoch: [209] [360/458] learning_rate: 0.066513 loss_vfl: 0.995006 loss_bbox: 0.445782 loss_dfl: 0.422463 loss: 1.868715 eta: 9:48:38 batch_cost: 0.9580 data_cost: 0.0350 ips: 66.8056 images/s
[03/19 12:47:20] ppdet.engine INFO: Epoch: [209] [380/458] learning_rate: 0.066453 loss_vfl: 1.060248 loss_bbox: 0.463428 loss_dfl: 0.447772 loss: 1.989404 eta: 9:48:21 batch_cost: 0.9266 data_cost: 0.0009 ips: 69.0675 images/s
[03/19 12:47:34] ppdet.engine INFO: Epoch: [209] [400/458] learning_rate: 0.066394 loss_vfl: 1.026258 loss_bbox: 0.451976 loss_dfl: 0.437413 loss: 1.909346 eta: 9:48:02 batch_cost: 0.5944 data_cost: 0.0828 ips: 107.6657 images/s
[03/19 12:47:48] ppdet.engine INFO: Epoch: [209] [420/458] learning_rate: 0.066334 loss_vfl: 0.974311 loss_bbox: 0.435018 loss_dfl: 0.415747 loss: 1.830508 eta: 9:47:43 batch_cost: 0.6095 data_cost: 0.0650 ips: 105.0057 images/s
[03/19 12:48:05] ppdet.engine INFO: Epoch: [209] [440/458] learning_rate: 0.066275 loss_vfl: 0.993470 loss_bbox: 0.451078 loss_dfl: 0.414403 loss: 1.855536 eta: 9:47:25 batch_cost: 0.7720 data_cost: 0.2147 ips: 82.9022 images/s
[03/19 12:48:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 12:48:19] ppdet.engine INFO: Eval iter: 0
[03/19 12:48:38] ppdet.engine INFO: Eval iter: 100
[03/19 12:48:47] ppdet.engine INFO: Eval iter: 200
[03/19 12:48:56] ppdet.engine INFO: Eval iter: 300
[03/19 12:49:05] ppdet.engine INFO: Eval iter: 400
[03/19 12:49:14] ppdet.engine INFO: Eval iter: 500
[03/19 12:49:24] ppdet.engine INFO: Eval iter: 600
[03/19 12:49:38] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.60s)
creating index...
index created!
[03/19 12:49:38] 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=77.34s).
Accumulating evaluation results...
DONE (t=15.68s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.225
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.345
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.235
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.062
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.218
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.399
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.233
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.373
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.395
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.113
 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 ] = 0.666
[03/19 12:51:18] ppdet.engine INFO: Total sample number: 4952, averge FPS: 73.5982685029338
[03/19 12:51:18] ppdet.engine INFO: Best test bbox ap is 0.225.
[03/19 12:51:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 12:51:19] ppdet.engine INFO: Epoch: [210] [  0/458] learning_rate: 0.066222 loss_vfl: 1.014817 loss_bbox: 0.454132 loss_dfl: 0.439969 loss: 1.901749 eta: 9:47:08 batch_cost: 0.7342 data_cost: 0.2106 ips: 87.1756 images/s
[03/19 12:51:35] ppdet.engine INFO: Epoch: [210] [ 20/458] learning_rate: 0.066162 loss_vfl: 1.073963 loss_bbox: 0.496506 loss_dfl: 0.449932 loss: 1.985033 eta: 9:46:49 batch_cost: 0.7002 data_cost: 0.0013 ips: 91.4079 images/s
[03/19 12:51:57] ppdet.engine INFO: Epoch: [210] [ 40/458] learning_rate: 0.066103 loss_vfl: 1.018192 loss_bbox: 0.467779 loss_dfl: 0.434335 loss: 1.908316 eta: 9:46:33 batch_cost: 0.9321 data_cost: 0.0053 ips: 68.6641 images/s
[03/19 12:52:17] ppdet.engine INFO: Epoch: [210] [ 60/458] learning_rate: 0.066043 loss_vfl: 1.000508 loss_bbox: 0.440802 loss_dfl: 0.417012 loss: 1.834003 eta: 9:46:16 batch_cost: 0.8986 data_cost: 0.0011 ips: 71.2188 images/s
[03/19 12:52:39] ppdet.engine INFO: Epoch: [210] [ 80/458] learning_rate: 0.065984 loss_vfl: 1.012091 loss_bbox: 0.450580 loss_dfl: 0.417017 loss: 1.882436 eta: 9:45:59 batch_cost: 0.8877 data_cost: 0.0036 ips: 72.0981 images/s
[03/19 12:52:57] ppdet.engine INFO: Epoch: [210] [100/458] learning_rate: 0.065925 loss_vfl: 1.029778 loss_bbox: 0.452685 loss_dfl: 0.425570 loss: 1.874728 eta: 9:45:42 batch_cost: 0.8428 data_cost: 0.1146 ips: 75.9377 images/s
[03/19 12:53:17] ppdet.engine INFO: Epoch: [210] [120/458] learning_rate: 0.065865 loss_vfl: 1.008058 loss_bbox: 0.470334 loss_dfl: 0.431973 loss: 1.895799 eta: 9:45:25 batch_cost: 0.8091 data_cost: 0.0860 ips: 79.1030 images/s
[03/19 12:53:36] ppdet.engine INFO: Epoch: [210] [140/458] learning_rate: 0.065806 loss_vfl: 1.015585 loss_bbox: 0.466339 loss_dfl: 0.430823 loss: 1.928459 eta: 9:45:07 batch_cost: 0.8461 data_cost: 0.1311 ips: 75.6386 images/s
[03/19 12:53:56] ppdet.engine INFO: Epoch: [210] [160/458] learning_rate: 0.065747 loss_vfl: 1.017736 loss_bbox: 0.461109 loss_dfl: 0.426218 loss: 1.913532 eta: 9:44:50 batch_cost: 0.8363 data_cost: 0.1092 ips: 76.5302 images/s
[03/19 12:54:11] ppdet.engine INFO: Epoch: [210] [180/458] learning_rate: 0.065688 loss_vfl: 0.990563 loss_bbox: 0.437237 loss_dfl: 0.409834 loss: 1.841306 eta: 9:44:32 batch_cost: 0.6768 data_cost: 0.0880 ips: 94.5677 images/s
[03/19 12:54:26] ppdet.engine INFO: Epoch: [210] [200/458] learning_rate: 0.065628 loss_vfl: 1.056459 loss_bbox: 0.462996 loss_dfl: 0.445121 loss: 1.983596 eta: 9:44:13 batch_cost: 0.6603 data_cost: 0.0455 ips: 96.9321 images/s
[03/19 12:54:44] ppdet.engine INFO: Epoch: [210] [220/458] learning_rate: 0.065569 loss_vfl: 1.039073 loss_bbox: 0.471609 loss_dfl: 0.437333 loss: 1.943859 eta: 9:43:55 batch_cost: 0.7623 data_cost: 0.0042 ips: 83.9592 images/s
[03/19 12:55:03] ppdet.engine INFO: Epoch: [210] [240/458] learning_rate: 0.065510 loss_vfl: 1.007334 loss_bbox: 0.459809 loss_dfl: 0.432876 loss: 1.911560 eta: 9:43:37 batch_cost: 0.7690 data_cost: 0.0049 ips: 83.2226 images/s
[03/19 12:55:23] ppdet.engine INFO: Epoch: [210] [260/458] learning_rate: 0.065451 loss_vfl: 0.954499 loss_bbox: 0.432026 loss_dfl: 0.397723 loss: 1.810781 eta: 9:43:21 batch_cost: 0.9122 data_cost: 0.0034 ips: 70.1566 images/s
[03/19 12:55:45] ppdet.engine INFO: Epoch: [210] [280/458] learning_rate: 0.065392 loss_vfl: 1.050655 loss_bbox: 0.456281 loss_dfl: 0.432551 loss: 1.924369 eta: 9:43:04 batch_cost: 0.9343 data_cost: 0.0022 ips: 68.4981 images/s
[03/19 12:56:04] ppdet.engine INFO: Epoch: [210] [300/458] learning_rate: 0.065333 loss_vfl: 1.030654 loss_bbox: 0.457212 loss_dfl: 0.431488 loss: 1.934622 eta: 9:42:47 batch_cost: 0.8305 data_cost: 0.0435 ips: 77.0581 images/s
[03/19 12:56:25] ppdet.engine INFO: Epoch: [210] [320/458] learning_rate: 0.065273 loss_vfl: 1.031816 loss_bbox: 0.467199 loss_dfl: 0.435058 loss: 1.923532 eta: 9:42:30 batch_cost: 0.9290 data_cost: 0.3433 ips: 68.8884 images/s
[03/19 12:56:47] ppdet.engine INFO: Epoch: [210] [340/458] learning_rate: 0.065214 loss_vfl: 1.014565 loss_bbox: 0.443013 loss_dfl: 0.424673 loss: 1.876862 eta: 9:42:14 batch_cost: 0.9594 data_cost: 0.4585 ips: 66.7066 images/s
[03/19 12:57:05] ppdet.engine INFO: Epoch: [210] [360/458] learning_rate: 0.065155 loss_vfl: 1.024780 loss_bbox: 0.465763 loss_dfl: 0.443876 loss: 1.949692 eta: 9:41:57 batch_cost: 0.8047 data_cost: 0.1732 ips: 79.5305 images/s
[03/19 12:57:24] ppdet.engine INFO: Epoch: [210] [380/458] learning_rate: 0.065096 loss_vfl: 1.020680 loss_bbox: 0.463955 loss_dfl: 0.437947 loss: 1.920753 eta: 9:41:40 batch_cost: 0.8474 data_cost: 0.2396 ips: 75.5240 images/s
[03/19 12:57:46] ppdet.engine INFO: Epoch: [210] [400/458] learning_rate: 0.065037 loss_vfl: 1.066355 loss_bbox: 0.494770 loss_dfl: 0.460332 loss: 2.032931 eta: 9:41:23 batch_cost: 0.9329 data_cost: 0.4059 ips: 68.6035 images/s
[03/19 12:58:06] ppdet.engine INFO: Epoch: [210] [420/458] learning_rate: 0.064978 loss_vfl: 1.004921 loss_bbox: 0.444624 loss_dfl: 0.422373 loss: 1.890419 eta: 9:41:07 batch_cost: 0.9118 data_cost: 0.3454 ips: 70.1906 images/s
[03/19 12:58:26] ppdet.engine INFO: Epoch: [210] [440/458] learning_rate: 0.064919 loss_vfl: 1.004268 loss_bbox: 0.448958 loss_dfl: 0.410564 loss: 1.872302 eta: 9:40:50 batch_cost: 0.8971 data_cost: 0.3383 ips: 71.3390 images/s
[03/19 12:58:46] ppdet.engine INFO: Epoch: [211] [  0/458] learning_rate: 0.064866 loss_vfl: 1.055316 loss_bbox: 0.489294 loss_dfl: 0.448916 loss: 1.981392 eta: 9:40:35 batch_cost: 0.9124 data_cost: 0.4817 ips: 70.1435 images/s
[03/19 12:59:06] ppdet.engine INFO: Epoch: [211] [ 20/458] learning_rate: 0.064807 loss_vfl: 0.978081 loss_bbox: 0.440677 loss_dfl: 0.403478 loss: 1.789166 eta: 9:40:18 batch_cost: 0.8376 data_cost: 0.0720 ips: 76.4125 images/s
[03/19 12:59:26] ppdet.engine INFO: Epoch: [211] [ 40/458] learning_rate: 0.064748 loss_vfl: 1.042115 loss_bbox: 0.481221 loss_dfl: 0.440929 loss: 1.958625 eta: 9:40:02 batch_cost: 0.9269 data_cost: 0.2584 ips: 69.0505 images/s
[03/19 12:59:45] ppdet.engine INFO: Epoch: [211] [ 60/458] learning_rate: 0.064689 loss_vfl: 1.008784 loss_bbox: 0.442042 loss_dfl: 0.427659 loss: 1.881114 eta: 9:39:44 batch_cost: 0.8406 data_cost: 0.2381 ips: 76.1386 images/s
[03/19 13:00:07] ppdet.engine INFO: Epoch: [211] [ 80/458] learning_rate: 0.064631 loss_vfl: 1.004468 loss_bbox: 0.444262 loss_dfl: 0.415911 loss: 1.865325 eta: 9:39:28 batch_cost: 0.9960 data_cost: 0.3348 ips: 64.2576 images/s
[03/19 13:00:27] ppdet.engine INFO: Epoch: [211] [100/458] learning_rate: 0.064572 loss_vfl: 0.982798 loss_bbox: 0.442250 loss_dfl: 0.415805 loss: 1.848045 eta: 9:39:11 batch_cost: 0.8619 data_cost: 0.2003 ips: 74.2519 images/s
[03/19 13:00:46] ppdet.engine INFO: Epoch: [211] [120/458] learning_rate: 0.064513 loss_vfl: 0.980955 loss_bbox: 0.449008 loss_dfl: 0.417948 loss: 1.860356 eta: 9:38:54 batch_cost: 0.8098 data_cost: 0.0984 ips: 79.0297 images/s
[03/19 13:01:04] ppdet.engine INFO: Epoch: [211] [140/458] learning_rate: 0.064454 loss_vfl: 1.061883 loss_bbox: 0.484621 loss_dfl: 0.455378 loss: 2.001134 eta: 9:38:37 batch_cost: 0.8216 data_cost: 0.2027 ips: 77.8933 images/s
[03/19 13:01:19] ppdet.engine INFO: Epoch: [211] [160/458] learning_rate: 0.064395 loss_vfl: 1.006411 loss_bbox: 0.454686 loss_dfl: 0.423794 loss: 1.892396 eta: 9:38:18 batch_cost: 0.6628 data_cost: 0.1777 ips: 96.5557 images/s
[03/19 13:01:39] ppdet.engine INFO: Epoch: [211] [180/458] learning_rate: 0.064336 loss_vfl: 1.040264 loss_bbox: 0.473639 loss_dfl: 0.440496 loss: 1.951202 eta: 9:38:01 batch_cost: 0.8618 data_cost: 0.2814 ips: 74.2609 images/s
[03/19 13:01:58] ppdet.engine INFO: Epoch: [211] [200/458] learning_rate: 0.064278 loss_vfl: 0.982675 loss_bbox: 0.455801 loss_dfl: 0.414227 loss: 1.816924 eta: 9:37:44 batch_cost: 0.8373 data_cost: 0.2564 ips: 76.4383 images/s
[03/19 13:02:19] ppdet.engine INFO: Epoch: [211] [220/458] learning_rate: 0.064219 loss_vfl: 1.004288 loss_bbox: 0.454745 loss_dfl: 0.419645 loss: 1.882014 eta: 9:37:27 batch_cost: 0.9223 data_cost: 0.2870 ips: 69.3898 images/s
[03/19 13:02:37] ppdet.engine INFO: Epoch: [211] [240/458] learning_rate: 0.064160 loss_vfl: 1.006200 loss_bbox: 0.448500 loss_dfl: 0.429976 loss: 1.864057 eta: 9:37:09 batch_cost: 0.7273 data_cost: 0.0178 ips: 87.9984 images/s
[03/19 13:02:57] ppdet.engine INFO: Epoch: [211] [260/458] learning_rate: 0.064101 loss_vfl: 1.018741 loss_bbox: 0.443657 loss_dfl: 0.427798 loss: 1.892511 eta: 9:36:52 batch_cost: 0.8687 data_cost: 0.1326 ips: 73.6766 images/s
[03/19 13:03:17] ppdet.engine INFO: Epoch: [211] [280/458] learning_rate: 0.064043 loss_vfl: 1.043430 loss_bbox: 0.458694 loss_dfl: 0.423235 loss: 1.927877 eta: 9:36:35 batch_cost: 0.8273 data_cost: 0.1634 ips: 77.3581 images/s
[03/19 13:03:36] ppdet.engine INFO: Epoch: [211] [300/458] learning_rate: 0.063984 loss_vfl: 1.050605 loss_bbox: 0.454588 loss_dfl: 0.437914 loss: 1.947468 eta: 9:36:17 batch_cost: 0.8350 data_cost: 0.1926 ips: 76.6507 images/s
[03/19 13:03:57] ppdet.engine INFO: Epoch: [211] [320/458] learning_rate: 0.063925 loss_vfl: 0.970086 loss_bbox: 0.437818 loss_dfl: 0.415610 loss: 1.837154 eta: 9:36:01 batch_cost: 0.9434 data_cost: 0.1816 ips: 67.8386 images/s
[03/19 13:04:18] ppdet.engine INFO: Epoch: [211] [340/458] learning_rate: 0.063867 loss_vfl: 1.101397 loss_bbox: 0.488415 loss_dfl: 0.440870 loss: 1.997189 eta: 9:35:45 batch_cost: 0.9734 data_cost: 0.2630 ips: 65.7483 images/s
[03/19 13:04:37] ppdet.engine INFO: Epoch: [211] [360/458] learning_rate: 0.063808 loss_vfl: 1.055526 loss_bbox: 0.483417 loss_dfl: 0.439561 loss: 1.984929 eta: 9:35:28 batch_cost: 0.8514 data_cost: 0.2407 ips: 75.1719 images/s
[03/19 13:04:56] ppdet.engine INFO: Epoch: [211] [380/458] learning_rate: 0.063750 loss_vfl: 1.047030 loss_bbox: 0.476173 loss_dfl: 0.450291 loss: 1.968904 eta: 9:35:10 batch_cost: 0.8147 data_cost: 0.2127 ips: 78.5546 images/s
[03/19 13:05:16] ppdet.engine INFO: Epoch: [211] [400/458] learning_rate: 0.063691 loss_vfl: 1.015567 loss_bbox: 0.460870 loss_dfl: 0.430426 loss: 1.897666 eta: 9:34:54 batch_cost: 0.8986 data_cost: 0.2867 ips: 71.2239 images/s
[03/19 13:05:36] ppdet.engine INFO: Epoch: [211] [420/458] learning_rate: 0.063633 loss_vfl: 1.025448 loss_bbox: 0.443558 loss_dfl: 0.427904 loss: 1.894509 eta: 9:34:37 batch_cost: 0.8637 data_cost: 0.1449 ips: 74.0988 images/s
[03/19 13:05:54] ppdet.engine INFO: Epoch: [211] [440/458] learning_rate: 0.063574 loss_vfl: 1.010939 loss_bbox: 0.451325 loss_dfl: 0.436007 loss: 1.904758 eta: 9:34:19 batch_cost: 0.7850 data_cost: 0.1280 ips: 81.5267 images/s
[03/19 13:06:15] ppdet.engine INFO: Epoch: [212] [  0/458] learning_rate: 0.063521 loss_vfl: 1.038438 loss_bbox: 0.465456 loss_dfl: 0.430921 loss: 1.925765 eta: 9:34:05 batch_cost: 1.0103 data_cost: 0.3148 ips: 63.3499 images/s
[03/19 13:06:35] ppdet.engine INFO: Epoch: [212] [ 20/458] learning_rate: 0.063463 loss_vfl: 0.982313 loss_bbox: 0.428028 loss_dfl: 0.412963 loss: 1.826232 eta: 9:33:48 batch_cost: 0.8786 data_cost: 0.0447 ips: 72.8471 images/s
[03/19 13:06:55] ppdet.engine INFO: Epoch: [212] [ 40/458] learning_rate: 0.063404 loss_vfl: 1.006315 loss_bbox: 0.465042 loss_dfl: 0.427100 loss: 1.918280 eta: 9:33:31 batch_cost: 0.8888 data_cost: 0.0023 ips: 72.0036 images/s
[03/19 13:07:15] ppdet.engine INFO: Epoch: [212] [ 60/458] learning_rate: 0.063346 loss_vfl: 1.024404 loss_bbox: 0.439945 loss_dfl: 0.423962 loss: 1.880032 eta: 9:33:15 batch_cost: 0.9238 data_cost: 0.0045 ips: 69.2814 images/s
[03/19 13:07:37] ppdet.engine INFO: Epoch: [212] [ 80/458] learning_rate: 0.063288 loss_vfl: 0.977741 loss_bbox: 0.464519 loss_dfl: 0.428186 loss: 1.880601 eta: 9:32:59 batch_cost: 0.9888 data_cost: 0.0035 ips: 64.7278 images/s
[03/19 13:07:55] ppdet.engine INFO: Epoch: [212] [100/458] learning_rate: 0.063229 loss_vfl: 1.034418 loss_bbox: 0.461244 loss_dfl: 0.421935 loss: 1.925548 eta: 9:32:41 batch_cost: 0.8283 data_cost: 0.0037 ips: 77.2682 images/s
[03/19 13:08:10] ppdet.engine INFO: Epoch: [212] [120/458] learning_rate: 0.063171 loss_vfl: 0.996544 loss_bbox: 0.445126 loss_dfl: 0.421682 loss: 1.859508 eta: 9:32:22 batch_cost: 0.6476 data_cost: 0.0049 ips: 98.8274 images/s
[03/19 13:08:25] ppdet.engine INFO: Epoch: [212] [140/458] learning_rate: 0.063112 loss_vfl: 1.024858 loss_bbox: 0.453211 loss_dfl: 0.428393 loss: 1.904033 eta: 9:32:04 batch_cost: 0.6305 data_cost: 0.0019 ips: 101.5007 images/s
[03/19 13:08:42] ppdet.engine INFO: Epoch: [212] [160/458] learning_rate: 0.063054 loss_vfl: 1.031075 loss_bbox: 0.471273 loss_dfl: 0.448318 loss: 1.975312 eta: 9:31:46 batch_cost: 0.8026 data_cost: 0.0051 ips: 79.7444 images/s
[03/19 13:09:06] ppdet.engine INFO: Epoch: [212] [180/458] learning_rate: 0.062996 loss_vfl: 0.993354 loss_bbox: 0.431021 loss_dfl: 0.422069 loss: 1.865262 eta: 9:31:31 batch_cost: 1.0754 data_cost: 0.0048 ips: 59.5136 images/s
[03/19 13:09:23] ppdet.engine INFO: Epoch: [212] [200/458] learning_rate: 0.062937 loss_vfl: 1.037222 loss_bbox: 0.460194 loss_dfl: 0.429512 loss: 1.942199 eta: 9:31:13 batch_cost: 0.7948 data_cost: 0.0031 ips: 80.5243 images/s
[03/19 13:09:45] ppdet.engine INFO: Epoch: [212] [220/458] learning_rate: 0.062879 loss_vfl: 1.004105 loss_bbox: 0.444546 loss_dfl: 0.421074 loss: 1.854722 eta: 9:30:57 batch_cost: 1.0089 data_cost: 0.0009 ips: 63.4372 images/s
[03/19 13:10:03] ppdet.engine INFO: Epoch: [212] [240/458] learning_rate: 0.062821 loss_vfl: 1.040593 loss_bbox: 0.452091 loss_dfl: 0.425655 loss: 1.915717 eta: 9:30:39 batch_cost: 0.7507 data_cost: 0.0018 ips: 85.2572 images/s
[03/19 13:10:23] ppdet.engine INFO: Epoch: [212] [260/458] learning_rate: 0.062763 loss_vfl: 0.977220 loss_bbox: 0.428135 loss_dfl: 0.404086 loss: 1.819610 eta: 9:30:23 batch_cost: 0.9576 data_cost: 0.0014 ips: 66.8358 images/s
[03/19 13:10:44] ppdet.engine INFO: Epoch: [212] [280/458] learning_rate: 0.062704 loss_vfl: 1.045688 loss_bbox: 0.468433 loss_dfl: 0.430796 loss: 1.921560 eta: 9:30:07 batch_cost: 0.9636 data_cost: 0.0019 ips: 66.4155 images/s
[03/19 13:11:03] ppdet.engine INFO: Epoch: [212] [300/458] learning_rate: 0.062646 loss_vfl: 1.048813 loss_bbox: 0.483753 loss_dfl: 0.450461 loss: 1.965621 eta: 9:29:50 batch_cost: 0.8593 data_cost: 0.0019 ips: 74.4804 images/s
[03/19 13:11:21] ppdet.engine INFO: Epoch: [212] [320/458] learning_rate: 0.062588 loss_vfl: 1.040967 loss_bbox: 0.464255 loss_dfl: 0.433139 loss: 1.943448 eta: 9:29:33 batch_cost: 0.8258 data_cost: 0.0094 ips: 77.4964 images/s
[03/19 13:11:41] ppdet.engine INFO: Epoch: [212] [340/458] learning_rate: 0.062530 loss_vfl: 1.022096 loss_bbox: 0.467565 loss_dfl: 0.442570 loss: 1.944184 eta: 9:29:16 batch_cost: 0.8828 data_cost: 0.0013 ips: 72.4979 images/s
[03/19 13:12:02] ppdet.engine INFO: Epoch: [212] [360/458] learning_rate: 0.062472 loss_vfl: 0.944832 loss_bbox: 0.443797 loss_dfl: 0.404677 loss: 1.782835 eta: 9:28:59 batch_cost: 0.9440 data_cost: 0.0091 ips: 67.7964 images/s
[03/19 13:12:22] ppdet.engine INFO: Epoch: [212] [380/458] learning_rate: 0.062414 loss_vfl: 1.046528 loss_bbox: 0.474958 loss_dfl: 0.434364 loss: 1.947516 eta: 9:28:42 batch_cost: 0.8550 data_cost: 0.0022 ips: 74.8561 images/s
[03/19 13:12:40] ppdet.engine INFO: Epoch: [212] [400/458] learning_rate: 0.062355 loss_vfl: 1.033306 loss_bbox: 0.461615 loss_dfl: 0.435753 loss: 1.931342 eta: 9:28:25 batch_cost: 0.8349 data_cost: 0.0047 ips: 76.6531 images/s
[03/19 13:13:01] ppdet.engine INFO: Epoch: [212] [420/458] learning_rate: 0.062297 loss_vfl: 1.036286 loss_bbox: 0.447303 loss_dfl: 0.433590 loss: 1.904978 eta: 9:28:09 batch_cost: 0.9728 data_cost: 0.0024 ips: 65.7866 images/s
[03/19 13:13:20] ppdet.engine INFO: Epoch: [212] [440/458] learning_rate: 0.062239 loss_vfl: 1.033480 loss_bbox: 0.466490 loss_dfl: 0.438232 loss: 1.938928 eta: 9:27:51 batch_cost: 0.8181 data_cost: 0.0006 ips: 78.2323 images/s
[03/19 13:13:41] ppdet.engine INFO: Epoch: [213] [  0/458] learning_rate: 0.062187 loss_vfl: 0.992915 loss_bbox: 0.427654 loss_dfl: 0.418891 loss: 1.857744 eta: 9:27:38 batch_cost: 1.0033 data_cost: 0.3572 ips: 63.7899 images/s
[03/19 13:14:04] ppdet.engine INFO: Epoch: [213] [ 20/458] learning_rate: 0.062129 loss_vfl: 1.017495 loss_bbox: 0.474722 loss_dfl: 0.439758 loss: 1.913817 eta: 9:27:22 batch_cost: 1.0398 data_cost: 0.2710 ips: 61.5494 images/s
[03/19 13:14:25] ppdet.engine INFO: Epoch: [213] [ 40/458] learning_rate: 0.062071 loss_vfl: 1.009067 loss_bbox: 0.437560 loss_dfl: 0.422856 loss: 1.843263 eta: 9:27:05 batch_cost: 0.9253 data_cost: 0.2272 ips: 69.1657 images/s
[03/19 13:14:44] ppdet.engine INFO: Epoch: [213] [ 60/458] learning_rate: 0.062013 loss_vfl: 1.000136 loss_bbox: 0.453386 loss_dfl: 0.427616 loss: 1.881138 eta: 9:26:48 batch_cost: 0.8163 data_cost: 0.1555 ips: 78.3990 images/s
[03/19 13:15:05] ppdet.engine INFO: Epoch: [213] [ 80/458] learning_rate: 0.061955 loss_vfl: 1.034904 loss_bbox: 0.475303 loss_dfl: 0.441767 loss: 1.954540 eta: 9:26:31 batch_cost: 0.8590 data_cost: 0.2027 ips: 74.5060 images/s
[03/19 13:15:22] ppdet.engine INFO: Epoch: [213] [100/458] learning_rate: 0.061897 loss_vfl: 1.066317 loss_bbox: 0.475491 loss_dfl: 0.455446 loss: 2.004241 eta: 9:26:13 batch_cost: 0.7523 data_cost: 0.1764 ips: 85.0684 images/s
[03/19 13:15:38] ppdet.engine INFO: Epoch: [213] [120/458] learning_rate: 0.061839 loss_vfl: 0.963428 loss_bbox: 0.421045 loss_dfl: 0.400595 loss: 1.772618 eta: 9:25:54 batch_cost: 0.6532 data_cost: 0.0807 ips: 97.9822 images/s
[03/19 13:15:57] ppdet.engine INFO: Epoch: [213] [140/458] learning_rate: 0.061781 loss_vfl: 0.980151 loss_bbox: 0.426974 loss_dfl: 0.414375 loss: 1.809781 eta: 9:25:37 batch_cost: 0.8088 data_cost: 0.2588 ips: 79.1322 images/s
[03/19 13:16:21] ppdet.engine INFO: Epoch: [213] [160/458] learning_rate: 0.061724 loss_vfl: 1.076747 loss_bbox: 0.477197 loss_dfl: 0.444025 loss: 1.962288 eta: 9:25:21 batch_cost: 1.0503 data_cost: 0.5285 ips: 60.9328 images/s
[03/19 13:16:40] ppdet.engine INFO: Epoch: [213] [180/458] learning_rate: 0.061666 loss_vfl: 1.014041 loss_bbox: 0.462967 loss_dfl: 0.428586 loss: 1.923779 eta: 9:25:04 batch_cost: 0.7936 data_cost: 0.2047 ips: 80.6453 images/s
[03/19 13:17:00] ppdet.engine INFO: Epoch: [213] [200/458] learning_rate: 0.061608 loss_vfl: 0.980774 loss_bbox: 0.423882 loss_dfl: 0.391657 loss: 1.786569 eta: 9:24:47 batch_cost: 0.8509 data_cost: 0.0773 ips: 75.2118 images/s
[03/19 13:17:21] ppdet.engine INFO: Epoch: [213] [220/458] learning_rate: 0.061550 loss_vfl: 1.025812 loss_bbox: 0.449911 loss_dfl: 0.428994 loss: 1.914920 eta: 9:24:30 batch_cost: 0.9229 data_cost: 0.0475 ips: 69.3472 images/s
[03/19 13:17:41] ppdet.engine INFO: Epoch: [213] [240/458] learning_rate: 0.061492 loss_vfl: 1.021203 loss_bbox: 0.460076 loss_dfl: 0.431421 loss: 1.909625 eta: 9:24:13 batch_cost: 0.9012 data_cost: 0.0007 ips: 71.0187 images/s
[03/19 13:18:01] ppdet.engine INFO: Epoch: [213] [260/458] learning_rate: 0.061434 loss_vfl: 1.061032 loss_bbox: 0.472262 loss_dfl: 0.443787 loss: 1.963152 eta: 9:23:56 batch_cost: 0.8237 data_cost: 0.0135 ips: 77.6979 images/s
[03/19 13:18:24] ppdet.engine INFO: Epoch: [213] [280/458] learning_rate: 0.061377 loss_vfl: 1.023250 loss_bbox: 0.474637 loss_dfl: 0.444201 loss: 1.964038 eta: 9:23:40 batch_cost: 1.0048 data_cost: 0.4425 ips: 63.6914 images/s
[03/19 13:18:41] ppdet.engine INFO: Epoch: [213] [300/458] learning_rate: 0.061319 loss_vfl: 1.062459 loss_bbox: 0.492038 loss_dfl: 0.449100 loss: 2.046357 eta: 9:23:22 batch_cost: 0.7809 data_cost: 0.1992 ips: 81.9518 images/s
[03/19 13:19:02] ppdet.engine INFO: Epoch: [213] [320/458] learning_rate: 0.061261 loss_vfl: 1.042735 loss_bbox: 0.454357 loss_dfl: 0.423530 loss: 1.913913 eta: 9:23:06 batch_cost: 0.8891 data_cost: 0.2415 ips: 71.9827 images/s
[03/19 13:19:24] ppdet.engine INFO: Epoch: [213] [340/458] learning_rate: 0.061204 loss_vfl: 1.018957 loss_bbox: 0.461400 loss_dfl: 0.433343 loss: 1.923107 eta: 9:22:49 batch_cost: 0.9658 data_cost: 0.2063 ips: 66.2630 images/s
[03/19 13:19:43] ppdet.engine INFO: Epoch: [213] [360/458] learning_rate: 0.061146 loss_vfl: 1.034069 loss_bbox: 0.464555 loss_dfl: 0.437921 loss: 1.923604 eta: 9:22:32 batch_cost: 0.8396 data_cost: 0.0745 ips: 76.2296 images/s
[03/19 13:20:06] ppdet.engine INFO: Epoch: [213] [380/458] learning_rate: 0.061088 loss_vfl: 1.027824 loss_bbox: 0.462185 loss_dfl: 0.440810 loss: 1.928162 eta: 9:22:16 batch_cost: 1.0191 data_cost: 0.0034 ips: 62.7990 images/s
[03/19 13:20:24] ppdet.engine INFO: Epoch: [213] [400/458] learning_rate: 0.061031 loss_vfl: 1.035747 loss_bbox: 0.472587 loss_dfl: 0.436590 loss: 1.958516 eta: 9:21:59 batch_cost: 0.7922 data_cost: 0.0062 ips: 80.7912 images/s
[03/19 13:20:44] ppdet.engine INFO: Epoch: [213] [420/458] learning_rate: 0.060973 loss_vfl: 1.040315 loss_bbox: 0.480129 loss_dfl: 0.439692 loss: 1.962518 eta: 9:21:42 batch_cost: 0.8303 data_cost: 0.0111 ips: 77.0810 images/s
[03/19 13:21:06] ppdet.engine INFO: Epoch: [213] [440/458] learning_rate: 0.060915 loss_vfl: 1.018578 loss_bbox: 0.430071 loss_dfl: 0.429485 loss: 1.868380 eta: 9:21:25 batch_cost: 0.9580 data_cost: 0.2903 ips: 66.8042 images/s
[03/19 13:21:30] ppdet.engine INFO: Epoch: [214] [  0/458] learning_rate: 0.060864 loss_vfl: 1.035258 loss_bbox: 0.451807 loss_dfl: 0.428890 loss: 1.901069 eta: 9:21:12 batch_cost: 1.1598 data_cost: 0.6294 ips: 55.1805 images/s
[03/19 13:21:48] ppdet.engine INFO: Epoch: [214] [ 20/458] learning_rate: 0.060806 loss_vfl: 1.028556 loss_bbox: 0.457358 loss_dfl: 0.427005 loss: 1.911343 eta: 9:20:55 batch_cost: 0.7767 data_cost: 0.0388 ips: 82.3953 images/s
[03/19 13:22:03] ppdet.engine INFO: Epoch: [214] [ 40/458] learning_rate: 0.060749 loss_vfl: 1.034243 loss_bbox: 0.472395 loss_dfl: 0.438764 loss: 1.948857 eta: 9:20:36 batch_cost: 0.6484 data_cost: 0.0674 ips: 98.6970 images/s
[03/19 13:22:18] ppdet.engine INFO: Epoch: [214] [ 60/458] learning_rate: 0.060691 loss_vfl: 1.056549 loss_bbox: 0.482801 loss_dfl: 0.448152 loss: 1.988334 eta: 9:20:17 batch_cost: 0.6342 data_cost: 0.1182 ips: 100.9171 images/s
[03/19 13:22:40] ppdet.engine INFO: Epoch: [214] [ 80/458] learning_rate: 0.060634 loss_vfl: 1.045960 loss_bbox: 0.449959 loss_dfl: 0.441926 loss: 1.929147 eta: 9:20:01 batch_cost: 0.9316 data_cost: 0.2359 ips: 68.6965 images/s
[03/19 13:23:03] ppdet.engine INFO: Epoch: [214] [100/458] learning_rate: 0.060576 loss_vfl: 1.040774 loss_bbox: 0.466256 loss_dfl: 0.454050 loss: 1.971595 eta: 9:19:45 batch_cost: 1.0349 data_cost: 0.2775 ips: 61.8444 images/s
[03/19 13:23:20] ppdet.engine INFO: Epoch: [214] [120/458] learning_rate: 0.060519 loss_vfl: 1.014976 loss_bbox: 0.465355 loss_dfl: 0.426759 loss: 1.919882 eta: 9:19:27 batch_cost: 0.7699 data_cost: 0.1112 ips: 83.1330 images/s
[03/19 13:23:40] ppdet.engine INFO: Epoch: [214] [140/458] learning_rate: 0.060461 loss_vfl: 1.026690 loss_bbox: 0.479390 loss_dfl: 0.440727 loss: 1.951769 eta: 9:19:10 batch_cost: 0.8445 data_cost: 0.2122 ips: 75.7808 images/s
[03/19 13:24:00] ppdet.engine INFO: Epoch: [214] [160/458] learning_rate: 0.060404 loss_vfl: 1.007104 loss_bbox: 0.433559 loss_dfl: 0.407219 loss: 1.837793 eta: 9:18:53 batch_cost: 0.9079 data_cost: 0.1986 ips: 70.4940 images/s
[03/19 13:24:23] ppdet.engine INFO: Epoch: [214] [180/458] learning_rate: 0.060346 loss_vfl: 1.043043 loss_bbox: 0.456727 loss_dfl: 0.417192 loss: 1.912238 eta: 9:18:38 batch_cost: 1.0287 data_cost: 0.0004 ips: 62.2121 images/s
[03/19 13:24:42] ppdet.engine INFO: Epoch: [214] [200/458] learning_rate: 0.060289 loss_vfl: 1.042508 loss_bbox: 0.480425 loss_dfl: 0.451833 loss: 1.984992 eta: 9:18:20 batch_cost: 0.7658 data_cost: 0.1234 ips: 83.5696 images/s
[03/19 13:25:05] ppdet.engine INFO: Epoch: [214] [220/458] learning_rate: 0.060232 loss_vfl: 1.071822 loss_bbox: 0.473534 loss_dfl: 0.453259 loss: 2.006129 eta: 9:18:04 batch_cost: 1.0237 data_cost: 0.1693 ips: 62.5192 images/s
[03/19 13:25:25] ppdet.engine INFO: Epoch: [214] [240/458] learning_rate: 0.060174 loss_vfl: 1.063377 loss_bbox: 0.487234 loss_dfl: 0.455569 loss: 2.011824 eta: 9:17:47 batch_cost: 0.8972 data_cost: 0.2239 ips: 71.3320 images/s
[03/19 13:25:45] ppdet.engine INFO: Epoch: [214] [260/458] learning_rate: 0.060117 loss_vfl: 1.006868 loss_bbox: 0.455692 loss_dfl: 0.432674 loss: 1.890271 eta: 9:17:30 batch_cost: 0.8319 data_cost: 0.2343 ips: 76.9352 images/s
[03/19 13:26:07] ppdet.engine INFO: Epoch: [214] [280/458] learning_rate: 0.060060 loss_vfl: 1.053694 loss_bbox: 0.449301 loss_dfl: 0.422417 loss: 1.934958 eta: 9:17:13 batch_cost: 0.9176 data_cost: 0.2582 ips: 69.7469 images/s
[03/19 13:26:26] ppdet.engine INFO: Epoch: [214] [300/458] learning_rate: 0.060003 loss_vfl: 0.957394 loss_bbox: 0.431582 loss_dfl: 0.407466 loss: 1.823537 eta: 9:16:56 batch_cost: 0.8716 data_cost: 0.2848 ips: 73.4250 images/s
[03/19 13:26:46] ppdet.engine INFO: Epoch: [214] [320/458] learning_rate: 0.059945 loss_vfl: 1.003084 loss_bbox: 0.451139 loss_dfl: 0.432214 loss: 1.898303 eta: 9:16:39 batch_cost: 0.8631 data_cost: 0.2652 ips: 74.1524 images/s
[03/19 13:27:06] ppdet.engine INFO: Epoch: [214] [340/458] learning_rate: 0.059888 loss_vfl: 0.949142 loss_bbox: 0.445139 loss_dfl: 0.407962 loss: 1.793968 eta: 9:16:23 batch_cost: 0.8947 data_cost: 0.1995 ips: 71.5338 images/s
[03/19 13:27:27] ppdet.engine INFO: Epoch: [214] [360/458] learning_rate: 0.059831 loss_vfl: 0.993164 loss_bbox: 0.461386 loss_dfl: 0.425638 loss: 1.855895 eta: 9:16:06 batch_cost: 0.8990 data_cost: 0.1430 ips: 71.1864 images/s
[03/19 13:27:48] ppdet.engine INFO: Epoch: [214] [380/458] learning_rate: 0.059774 loss_vfl: 0.986703 loss_bbox: 0.470143 loss_dfl: 0.434418 loss: 1.887900 eta: 9:15:49 batch_cost: 0.9239 data_cost: 0.2374 ips: 69.2690 images/s
[03/19 13:28:08] ppdet.engine INFO: Epoch: [214] [400/458] learning_rate: 0.059717 loss_vfl: 1.020993 loss_bbox: 0.445784 loss_dfl: 0.425220 loss: 1.863830 eta: 9:15:33 batch_cost: 0.8950 data_cost: 0.2026 ips: 71.5078 images/s
[03/19 13:28:25] ppdet.engine INFO: Epoch: [214] [420/458] learning_rate: 0.059660 loss_vfl: 0.979007 loss_bbox: 0.444346 loss_dfl: 0.414952 loss: 1.813799 eta: 9:15:15 batch_cost: 0.7346 data_cost: 0.0630 ips: 87.1213 images/s
[03/19 13:28:40] ppdet.engine INFO: Epoch: [214] [440/458] learning_rate: 0.059602 loss_vfl: 1.008988 loss_bbox: 0.444719 loss_dfl: 0.423285 loss: 1.898361 eta: 9:14:55 batch_cost: 0.6079 data_cost: 0.0062 ips: 105.2752 images/s
[03/19 13:29:00] ppdet.engine INFO: Epoch: [215] [  0/458] learning_rate: 0.059551 loss_vfl: 1.033215 loss_bbox: 0.457867 loss_dfl: 0.432571 loss: 1.910888 eta: 9:14:41 batch_cost: 0.9236 data_cost: 0.3983 ips: 69.2937 images/s
[03/19 13:29:21] ppdet.engine INFO: Epoch: [215] [ 20/458] learning_rate: 0.059494 loss_vfl: 0.999815 loss_bbox: 0.465818 loss_dfl: 0.425291 loss: 1.873316 eta: 9:14:25 batch_cost: 0.9436 data_cost: 0.2311 ips: 67.8285 images/s
[03/19 13:29:43] ppdet.engine INFO: Epoch: [215] [ 40/458] learning_rate: 0.059437 loss_vfl: 0.988935 loss_bbox: 0.456571 loss_dfl: 0.434119 loss: 1.895357 eta: 9:14:08 batch_cost: 0.9363 data_cost: 0.2439 ips: 68.3546 images/s
[03/19 13:30:04] ppdet.engine INFO: Epoch: [215] [ 60/458] learning_rate: 0.059380 loss_vfl: 0.998688 loss_bbox: 0.469015 loss_dfl: 0.431866 loss: 1.907724 eta: 9:13:52 batch_cost: 0.9341 data_cost: 0.1837 ips: 68.5158 images/s
[03/19 13:30:23] ppdet.engine INFO: Epoch: [215] [ 80/458] learning_rate: 0.059323 loss_vfl: 1.004910 loss_bbox: 0.431811 loss_dfl: 0.408795 loss: 1.828487 eta: 9:13:34 batch_cost: 0.7825 data_cost: 0.1692 ips: 81.7854 images/s
[03/19 13:30:44] ppdet.engine INFO: Epoch: [215] [100/458] learning_rate: 0.059266 loss_vfl: 1.001802 loss_bbox: 0.448769 loss_dfl: 0.420576 loss: 1.875444 eta: 9:13:17 batch_cost: 0.9021 data_cost: 0.1555 ips: 70.9456 images/s
[03/19 13:31:08] ppdet.engine INFO: Epoch: [215] [120/458] learning_rate: 0.059209 loss_vfl: 0.992772 loss_bbox: 0.454722 loss_dfl: 0.428489 loss: 1.870598 eta: 9:13:02 batch_cost: 1.0570 data_cost: 0.4262 ips: 60.5471 images/s
[03/19 13:31:26] ppdet.engine INFO: Epoch: [215] [140/458] learning_rate: 0.059152 loss_vfl: 1.028858 loss_bbox: 0.466080 loss_dfl: 0.429858 loss: 1.929381 eta: 9:12:45 batch_cost: 0.8435 data_cost: 0.2006 ips: 75.8788 images/s
[03/19 13:31:47] ppdet.engine INFO: Epoch: [215] [160/458] learning_rate: 0.059095 loss_vfl: 1.043710 loss_bbox: 0.456034 loss_dfl: 0.442504 loss: 1.968124 eta: 9:12:28 batch_cost: 0.9077 data_cost: 0.2207 ips: 70.5099 images/s
[03/19 13:32:10] ppdet.engine INFO: Epoch: [215] [180/458] learning_rate: 0.059038 loss_vfl: 1.024746 loss_bbox: 0.466319 loss_dfl: 0.437309 loss: 1.917569 eta: 9:12:12 batch_cost: 1.0439 data_cost: 0.3626 ips: 61.3096 images/s
[03/19 13:32:32] ppdet.engine INFO: Epoch: [215] [200/458] learning_rate: 0.058981 loss_vfl: 1.078751 loss_bbox: 0.476764 loss_dfl: 0.453788 loss: 2.005850 eta: 9:11:56 batch_cost: 1.0089 data_cost: 0.4107 ips: 63.4356 images/s
[03/19 13:32:51] ppdet.engine INFO: Epoch: [215] [220/458] learning_rate: 0.058925 loss_vfl: 0.957871 loss_bbox: 0.438170 loss_dfl: 0.403324 loss: 1.782880 eta: 9:11:39 batch_cost: 0.7914 data_cost: 0.1872 ips: 80.8684 images/s
[03/19 13:33:10] ppdet.engine INFO: Epoch: [215] [240/458] learning_rate: 0.058868 loss_vfl: 1.034606 loss_bbox: 0.490955 loss_dfl: 0.447121 loss: 1.982021 eta: 9:11:22 batch_cost: 0.8465 data_cost: 0.2591 ips: 75.6056 images/s
[03/19 13:33:30] ppdet.engine INFO: Epoch: [215] [260/458] learning_rate: 0.058811 loss_vfl: 1.037950 loss_bbox: 0.468050 loss_dfl: 0.427032 loss: 1.905127 eta: 9:11:04 batch_cost: 0.8115 data_cost: 0.0773 ips: 78.8682 images/s
[03/19 13:33:53] ppdet.engine INFO: Epoch: [215] [280/458] learning_rate: 0.058754 loss_vfl: 1.051034 loss_bbox: 0.469888 loss_dfl: 0.435666 loss: 1.953076 eta: 9:10:48 batch_cost: 0.9864 data_cost: 0.0622 ips: 64.8857 images/s
[03/19 13:34:14] ppdet.engine INFO: Epoch: [215] [300/458] learning_rate: 0.058697 loss_vfl: 0.999673 loss_bbox: 0.439716 loss_dfl: 0.419030 loss: 1.867214 eta: 9:10:31 batch_cost: 0.9165 data_cost: 0.0391 ips: 69.8338 images/s
[03/19 13:34:34] ppdet.engine INFO: Epoch: [215] [320/458] learning_rate: 0.058641 loss_vfl: 1.051730 loss_bbox: 0.458289 loss_dfl: 0.450235 loss: 1.987288 eta: 9:10:15 batch_cost: 0.8783 data_cost: 0.0335 ips: 72.8645 images/s
[03/19 13:34:55] ppdet.engine INFO: Epoch: [215] [340/458] learning_rate: 0.058584 loss_vfl: 1.036373 loss_bbox: 0.461133 loss_dfl: 0.432163 loss: 1.913887 eta: 9:09:58 batch_cost: 0.9248 data_cost: 0.2082 ips: 69.2019 images/s
[03/19 13:35:10] ppdet.engine INFO: Epoch: [215] [360/458] learning_rate: 0.058527 loss_vfl: 1.007073 loss_bbox: 0.453748 loss_dfl: 0.423118 loss: 1.889099 eta: 9:09:39 batch_cost: 0.6357 data_cost: 0.0264 ips: 100.6701 images/s
[03/19 13:35:26] ppdet.engine INFO: Epoch: [215] [380/458] learning_rate: 0.058471 loss_vfl: 1.008785 loss_bbox: 0.462253 loss_dfl: 0.431820 loss: 1.902797 eta: 9:09:21 batch_cost: 0.7005 data_cost: 0.2168 ips: 91.3643 images/s
[03/19 13:35:45] ppdet.engine INFO: Epoch: [215] [400/458] learning_rate: 0.058414 loss_vfl: 0.967003 loss_bbox: 0.445202 loss_dfl: 0.410739 loss: 1.815393 eta: 9:09:04 batch_cost: 0.8406 data_cost: 0.1277 ips: 76.1368 images/s
[03/19 13:36:06] ppdet.engine INFO: Epoch: [215] [420/458] learning_rate: 0.058357 loss_vfl: 1.041721 loss_bbox: 0.466623 loss_dfl: 0.441615 loss: 1.944855 eta: 9:08:47 batch_cost: 0.9482 data_cost: 0.3127 ips: 67.4997 images/s
[03/19 13:36:29] ppdet.engine INFO: Epoch: [215] [440/458] learning_rate: 0.058301 loss_vfl: 1.081824 loss_bbox: 0.492709 loss_dfl: 0.461685 loss: 2.036591 eta: 9:08:32 batch_cost: 1.0554 data_cost: 0.4949 ips: 60.6400 images/s
[03/19 13:36:49] ppdet.engine INFO: Epoch: [216] [  0/458] learning_rate: 0.058250 loss_vfl: 1.025232 loss_bbox: 0.454668 loss_dfl: 0.420493 loss: 1.890639 eta: 9:08:17 batch_cost: 1.1143 data_cost: 0.6799 ips: 57.4343 images/s
[03/19 13:37:11] ppdet.engine INFO: Epoch: [216] [ 20/458] learning_rate: 0.058193 loss_vfl: 1.019218 loss_bbox: 0.453653 loss_dfl: 0.428818 loss: 1.913216 eta: 9:08:01 batch_cost: 0.9169 data_cost: 0.0718 ips: 69.7983 images/s
[03/19 13:37:31] ppdet.engine INFO: Epoch: [216] [ 40/458] learning_rate: 0.058137 loss_vfl: 0.985101 loss_bbox: 0.446627 loss_dfl: 0.419842 loss: 1.845897 eta: 9:07:43 batch_cost: 0.8166 data_cost: 0.0464 ips: 78.3765 images/s
[03/19 13:37:54] ppdet.engine INFO: Epoch: [216] [ 60/458] learning_rate: 0.058080 loss_vfl: 0.995284 loss_bbox: 0.458390 loss_dfl: 0.420054 loss: 1.861537 eta: 9:07:27 batch_cost: 0.9750 data_cost: 0.0885 ips: 65.6387 images/s
[03/19 13:38:13] ppdet.engine INFO: Epoch: [216] [ 80/458] learning_rate: 0.058023 loss_vfl: 0.960852 loss_bbox: 0.438037 loss_dfl: 0.415374 loss: 1.801374 eta: 9:07:09 batch_cost: 0.7716 data_cost: 0.1579 ips: 82.9475 images/s
[03/19 13:38:33] ppdet.engine INFO: Epoch: [216] [100/458] learning_rate: 0.057967 loss_vfl: 1.050539 loss_bbox: 0.474282 loss_dfl: 0.439493 loss: 1.968536 eta: 9:06:52 batch_cost: 0.8844 data_cost: 0.1809 ips: 72.3634 images/s
[03/19 13:38:54] ppdet.engine INFO: Epoch: [216] [120/458] learning_rate: 0.057910 loss_vfl: 1.017363 loss_bbox: 0.457142 loss_dfl: 0.429317 loss: 1.882536 eta: 9:06:36 batch_cost: 0.9286 data_cost: 0.2771 ips: 68.9237 images/s
[03/19 13:39:14] ppdet.engine INFO: Epoch: [216] [140/458] learning_rate: 0.057854 loss_vfl: 0.970081 loss_bbox: 0.423711 loss_dfl: 0.402967 loss: 1.763088 eta: 9:06:19 batch_cost: 0.8602 data_cost: 0.0144 ips: 74.3978 images/s
[03/19 13:39:35] ppdet.engine INFO: Epoch: [216] [160/458] learning_rate: 0.057798 loss_vfl: 0.973061 loss_bbox: 0.452267 loss_dfl: 0.421135 loss: 1.834868 eta: 9:06:02 batch_cost: 0.9365 data_cost: 0.0022 ips: 68.3393 images/s
[03/19 13:39:56] ppdet.engine INFO: Epoch: [216] [180/458] learning_rate: 0.057741 loss_vfl: 0.973655 loss_bbox: 0.450764 loss_dfl: 0.424996 loss: 1.838928 eta: 9:05:46 batch_cost: 0.9441 data_cost: 0.2368 ips: 67.7924 images/s
[03/19 13:40:17] ppdet.engine INFO: Epoch: [216] [200/458] learning_rate: 0.057685 loss_vfl: 1.016165 loss_bbox: 0.439484 loss_dfl: 0.408271 loss: 1.856287 eta: 9:05:30 batch_cost: 0.9487 data_cost: 0.1681 ips: 67.4642 images/s
[03/19 13:40:38] ppdet.engine INFO: Epoch: [216] [220/458] learning_rate: 0.057628 loss_vfl: 0.969236 loss_bbox: 0.446748 loss_dfl: 0.403392 loss: 1.809718 eta: 9:05:13 batch_cost: 0.9596 data_cost: 0.3623 ips: 66.6975 images/s
[03/19 13:40:58] ppdet.engine INFO: Epoch: [216] [240/458] learning_rate: 0.057572 loss_vfl: 1.005979 loss_bbox: 0.444080 loss_dfl: 0.421861 loss: 1.874217 eta: 9:04:56 batch_cost: 0.8422 data_cost: 0.2025 ips: 75.9871 images/s
[03/19 13:41:17] ppdet.engine INFO: Epoch: [216] [260/458] learning_rate: 0.057516 loss_vfl: 0.993620 loss_bbox: 0.443964 loss_dfl: 0.414622 loss: 1.885921 eta: 9:04:38 batch_cost: 0.7675 data_cost: 0.0950 ips: 83.3905 images/s
[03/19 13:41:37] ppdet.engine INFO: Epoch: [216] [280/458] learning_rate: 0.057459 loss_vfl: 1.024815 loss_bbox: 0.452392 loss_dfl: 0.427994 loss: 1.903973 eta: 9:04:22 batch_cost: 0.8955 data_cost: 0.0039 ips: 71.4671 images/s
[03/19 13:41:53] ppdet.engine INFO: Epoch: [216] [300/458] learning_rate: 0.057403 loss_vfl: 1.061375 loss_bbox: 0.466400 loss_dfl: 0.444344 loss: 1.972669 eta: 9:04:03 batch_cost: 0.7022 data_cost: 0.0048 ips: 91.1359 images/s
[03/19 13:42:08] ppdet.engine INFO: Epoch: [216] [320/458] learning_rate: 0.057347 loss_vfl: 0.982978 loss_bbox: 0.433914 loss_dfl: 0.417274 loss: 1.848820 eta: 9:03:45 batch_cost: 0.6543 data_cost: 0.0022 ips: 97.8108 images/s
[03/19 13:42:27] ppdet.engine INFO: Epoch: [216] [340/458] learning_rate: 0.057291 loss_vfl: 1.034764 loss_bbox: 0.458672 loss_dfl: 0.424823 loss: 1.930250 eta: 9:03:27 batch_cost: 0.8130 data_cost: 0.0018 ips: 78.7203 images/s
[03/19 13:42:48] ppdet.engine INFO: Epoch: [216] [360/458] learning_rate: 0.057235 loss_vfl: 0.996163 loss_bbox: 0.459202 loss_dfl: 0.431829 loss: 1.879842 eta: 9:03:11 batch_cost: 0.9295 data_cost: 0.0359 ips: 68.8529 images/s
[03/19 13:43:09] ppdet.engine INFO: Epoch: [216] [380/458] learning_rate: 0.057178 loss_vfl: 1.067737 loss_bbox: 0.466291 loss_dfl: 0.446403 loss: 1.973845 eta: 9:02:54 batch_cost: 0.9292 data_cost: 0.0144 ips: 68.8795 images/s
[03/19 13:43:28] ppdet.engine INFO: Epoch: [216] [400/458] learning_rate: 0.057122 loss_vfl: 1.035639 loss_bbox: 0.470766 loss_dfl: 0.438030 loss: 1.943386 eta: 9:02:37 batch_cost: 0.8747 data_cost: 0.0016 ips: 73.1719 images/s
[03/19 13:43:46] ppdet.engine INFO: Epoch: [216] [420/458] learning_rate: 0.057066 loss_vfl: 1.025120 loss_bbox: 0.451501 loss_dfl: 0.425149 loss: 1.891521 eta: 9:02:19 batch_cost: 0.7126 data_cost: 0.0072 ips: 89.8166 images/s
[03/19 13:44:07] ppdet.engine INFO: Epoch: [216] [440/458] learning_rate: 0.057010 loss_vfl: 1.014022 loss_bbox: 0.451165 loss_dfl: 0.421585 loss: 1.883542 eta: 9:02:02 batch_cost: 0.8740 data_cost: 0.2282 ips: 73.2242 images/s
[03/19 13:44:29] ppdet.engine INFO: Epoch: [217] [  0/458] learning_rate: 0.056959 loss_vfl: 1.004331 loss_bbox: 0.454551 loss_dfl: 0.425069 loss: 1.885845 eta: 9:01:48 batch_cost: 1.0069 data_cost: 0.3588 ips: 63.5624 images/s
[03/19 13:44:47] ppdet.engine INFO: Epoch: [217] [ 20/458] learning_rate: 0.056903 loss_vfl: 1.007764 loss_bbox: 0.452954 loss_dfl: 0.421709 loss: 1.868516 eta: 9:01:30 batch_cost: 0.7748 data_cost: 0.0080 ips: 82.6065 images/s
[03/19 13:45:09] ppdet.engine INFO: Epoch: [217] [ 40/458] learning_rate: 0.056847 loss_vfl: 1.027652 loss_bbox: 0.459118 loss_dfl: 0.426023 loss: 1.923298 eta: 9:01:14 batch_cost: 0.9875 data_cost: 0.0039 ips: 64.8096 images/s
[03/19 13:45:32] ppdet.engine INFO: Epoch: [217] [ 60/458] learning_rate: 0.056791 loss_vfl: 1.008903 loss_bbox: 0.462720 loss_dfl: 0.432338 loss: 1.887143 eta: 9:00:58 batch_cost: 1.0208 data_cost: 0.0020 ips: 62.6956 images/s
[03/19 13:45:53] ppdet.engine INFO: Epoch: [217] [ 80/458] learning_rate: 0.056735 loss_vfl: 0.987345 loss_bbox: 0.459595 loss_dfl: 0.425306 loss: 1.887925 eta: 9:00:42 batch_cost: 0.9219 data_cost: 0.1985 ips: 69.4187 images/s
[03/19 13:46:13] ppdet.engine INFO: Epoch: [217] [100/458] learning_rate: 0.056679 loss_vfl: 1.022398 loss_bbox: 0.448728 loss_dfl: 0.434894 loss: 1.898443 eta: 9:00:25 batch_cost: 0.8823 data_cost: 0.2044 ips: 72.5412 images/s
[03/19 13:46:34] ppdet.engine INFO: Epoch: [217] [120/458] learning_rate: 0.056623 loss_vfl: 1.030930 loss_bbox: 0.437160 loss_dfl: 0.432580 loss: 1.901629 eta: 9:00:08 batch_cost: 0.9355 data_cost: 0.3298 ips: 68.4111 images/s
[03/19 13:46:56] ppdet.engine INFO: Epoch: [217] [140/458] learning_rate: 0.056567 loss_vfl: 1.002153 loss_bbox: 0.445878 loss_dfl: 0.419535 loss: 1.843043 eta: 8:59:53 batch_cost: 1.0389 data_cost: 0.4317 ips: 61.6055 images/s
[03/19 13:47:15] ppdet.engine INFO: Epoch: [217] [160/458] learning_rate: 0.056511 loss_vfl: 0.980666 loss_bbox: 0.437048 loss_dfl: 0.413883 loss: 1.840954 eta: 8:59:35 batch_cost: 0.8255 data_cost: 0.2967 ips: 77.5273 images/s
[03/19 13:47:34] ppdet.engine INFO: Epoch: [217] [180/458] learning_rate: 0.056455 loss_vfl: 1.029603 loss_bbox: 0.488467 loss_dfl: 0.442509 loss: 1.965825 eta: 8:59:18 batch_cost: 0.8434 data_cost: 0.3026 ips: 75.8799 images/s
[03/19 13:47:57] ppdet.engine INFO: Epoch: [217] [200/458] learning_rate: 0.056400 loss_vfl: 0.987481 loss_bbox: 0.434760 loss_dfl: 0.410924 loss: 1.840276 eta: 8:59:02 batch_cost: 0.9462 data_cost: 0.3616 ips: 67.6389 images/s
[03/19 13:48:18] ppdet.engine INFO: Epoch: [217] [220/458] learning_rate: 0.056344 loss_vfl: 1.011539 loss_bbox: 0.438477 loss_dfl: 0.415312 loss: 1.869994 eta: 8:58:45 batch_cost: 0.9802 data_cost: 0.2894 ips: 65.2947 images/s
[03/19 13:48:33] ppdet.engine INFO: Epoch: [217] [240/458] learning_rate: 0.056288 loss_vfl: 1.011621 loss_bbox: 0.470111 loss_dfl: 0.434169 loss: 1.904898 eta: 8:58:27 batch_cost: 0.6331 data_cost: 0.1464 ips: 101.0975 images/s
[03/19 13:48:50] ppdet.engine INFO: Epoch: [217] [260/458] learning_rate: 0.056232 loss_vfl: 1.068312 loss_bbox: 0.472121 loss_dfl: 0.449662 loss: 2.017299 eta: 8:58:09 batch_cost: 0.7687 data_cost: 0.3096 ips: 83.2564 images/s
[03/19 13:49:11] ppdet.engine INFO: Epoch: [217] [280/458] learning_rate: 0.056176 loss_vfl: 1.024024 loss_bbox: 0.455344 loss_dfl: 0.429235 loss: 1.916090 eta: 8:57:52 batch_cost: 0.9114 data_cost: 0.3898 ips: 70.2249 images/s
[03/19 13:49:29] ppdet.engine INFO: Epoch: [217] [300/458] learning_rate: 0.056120 loss_vfl: 1.031825 loss_bbox: 0.463675 loss_dfl: 0.437253 loss: 1.922349 eta: 8:57:34 batch_cost: 0.7559 data_cost: 0.3149 ips: 84.6642 images/s
[03/19 13:49:48] ppdet.engine INFO: Epoch: [217] [320/458] learning_rate: 0.056065 loss_vfl: 1.014166 loss_bbox: 0.451701 loss_dfl: 0.422661 loss: 1.902444 eta: 8:57:17 batch_cost: 0.7975 data_cost: 0.1497 ips: 80.2531 images/s
[03/19 13:50:09] ppdet.engine INFO: Epoch: [217] [340/458] learning_rate: 0.056009 loss_vfl: 1.054105 loss_bbox: 0.479243 loss_dfl: 0.449633 loss: 1.995534 eta: 8:57:01 batch_cost: 0.9730 data_cost: 0.3858 ips: 65.7791 images/s
[03/19 13:50:27] ppdet.engine INFO: Epoch: [217] [360/458] learning_rate: 0.055953 loss_vfl: 0.993899 loss_bbox: 0.450482 loss_dfl: 0.414674 loss: 1.858449 eta: 8:56:43 batch_cost: 0.7904 data_cost: 0.1912 ips: 80.9681 images/s
[03/19 13:50:50] ppdet.engine INFO: Epoch: [217] [380/458] learning_rate: 0.055897 loss_vfl: 0.972442 loss_bbox: 0.426820 loss_dfl: 0.411409 loss: 1.821515 eta: 8:56:27 batch_cost: 0.9649 data_cost: 0.2056 ips: 66.3279 images/s
[03/19 13:51:09] ppdet.engine INFO: Epoch: [217] [400/458] learning_rate: 0.055842 loss_vfl: 0.967980 loss_bbox: 0.436412 loss_dfl: 0.404432 loss: 1.809763 eta: 8:56:10 batch_cost: 0.8526 data_cost: 0.1605 ips: 75.0641 images/s
[03/19 13:51:29] ppdet.engine INFO: Epoch: [217] [420/458] learning_rate: 0.055786 loss_vfl: 0.999103 loss_bbox: 0.463525 loss_dfl: 0.429265 loss: 1.900101 eta: 8:55:53 batch_cost: 0.8680 data_cost: 0.0429 ips: 73.7337 images/s
[03/19 13:51:49] ppdet.engine INFO: Epoch: [217] [440/458] learning_rate: 0.055731 loss_vfl: 1.049348 loss_bbox: 0.469375 loss_dfl: 0.443328 loss: 1.960936 eta: 8:55:36 batch_cost: 0.8703 data_cost: 0.2799 ips: 73.5419 images/s
[03/19 13:52:11] ppdet.engine INFO: Epoch: [218] [  0/458] learning_rate: 0.055680 loss_vfl: 1.013113 loss_bbox: 0.478176 loss_dfl: 0.445255 loss: 1.943933 eta: 8:55:22 batch_cost: 0.9936 data_cost: 0.4925 ips: 64.4148 images/s
[03/19 13:52:30] ppdet.engine INFO: Epoch: [218] [ 20/458] learning_rate: 0.055625 loss_vfl: 1.001747 loss_bbox: 0.440408 loss_dfl: 0.416406 loss: 1.845034 eta: 8:55:04 batch_cost: 0.7851 data_cost: 0.0679 ips: 81.5153 images/s
[03/19 13:52:49] ppdet.engine INFO: Epoch: [218] [ 40/458] learning_rate: 0.055569 loss_vfl: 0.932233 loss_bbox: 0.420763 loss_dfl: 0.386213 loss: 1.742083 eta: 8:54:47 batch_cost: 0.8773 data_cost: 0.1756 ips: 72.9522 images/s
[03/19 13:53:12] ppdet.engine INFO: Epoch: [218] [ 60/458] learning_rate: 0.055514 loss_vfl: 1.005387 loss_bbox: 0.456702 loss_dfl: 0.419144 loss: 1.881849 eta: 8:54:32 batch_cost: 1.0687 data_cost: 0.5042 ips: 59.8841 images/s
[03/19 13:53:31] ppdet.engine INFO: Epoch: [218] [ 80/458] learning_rate: 0.055458 loss_vfl: 1.017279 loss_bbox: 0.456466 loss_dfl: 0.430923 loss: 1.891863 eta: 8:54:15 batch_cost: 0.8970 data_cost: 0.3905 ips: 71.3477 images/s
[03/19 13:53:49] ppdet.engine INFO: Epoch: [218] [100/458] learning_rate: 0.055403 loss_vfl: 1.003566 loss_bbox: 0.439352 loss_dfl: 0.416178 loss: 1.854684 eta: 8:53:57 batch_cost: 0.7786 data_cost: 0.1179 ips: 82.1955 images/s
[03/19 13:54:06] ppdet.engine INFO: Epoch: [218] [120/458] learning_rate: 0.055347 loss_vfl: 0.991081 loss_bbox: 0.433280 loss_dfl: 0.418247 loss: 1.833148 eta: 8:53:39 batch_cost: 0.7086 data_cost: 0.0566 ips: 90.3138 images/s
[03/19 13:54:28] ppdet.engine INFO: Epoch: [218] [140/458] learning_rate: 0.055292 loss_vfl: 1.022103 loss_bbox: 0.459821 loss_dfl: 0.432844 loss: 1.916253 eta: 8:53:23 batch_cost: 0.9800 data_cost: 0.2776 ips: 65.3079 images/s
[03/19 13:54:48] ppdet.engine INFO: Epoch: [218] [160/458] learning_rate: 0.055236 loss_vfl: 0.979068 loss_bbox: 0.442632 loss_dfl: 0.404659 loss: 1.808425 eta: 8:53:06 batch_cost: 0.8686 data_cost: 0.2721 ips: 73.6778 images/s
[03/19 13:55:07] ppdet.engine INFO: Epoch: [218] [180/458] learning_rate: 0.055181 loss_vfl: 0.999770 loss_bbox: 0.481999 loss_dfl: 0.445235 loss: 1.946362 eta: 8:52:49 batch_cost: 0.8513 data_cost: 0.3320 ips: 75.1813 images/s
[03/19 13:55:29] ppdet.engine INFO: Epoch: [218] [200/458] learning_rate: 0.055126 loss_vfl: 1.071725 loss_bbox: 0.489654 loss_dfl: 0.463330 loss: 2.027296 eta: 8:52:33 batch_cost: 0.9953 data_cost: 0.4935 ips: 64.3011 images/s
[03/19 13:55:44] ppdet.engine INFO: Epoch: [218] [220/458] learning_rate: 0.055070 loss_vfl: 1.050897 loss_bbox: 0.480690 loss_dfl: 0.451769 loss: 1.996371 eta: 8:52:14 batch_cost: 0.6460 data_cost: 0.1159 ips: 99.0782 images/s
[03/19 13:56:00] ppdet.engine INFO: Epoch: [218] [240/458] learning_rate: 0.055015 loss_vfl: 0.996744 loss_bbox: 0.437150 loss_dfl: 0.413778 loss: 1.841964 eta: 8:51:56 batch_cost: 0.7176 data_cost: 0.2144 ips: 89.1920 images/s
[03/19 13:56:17] ppdet.engine INFO: Epoch: [218] [260/458] learning_rate: 0.054960 loss_vfl: 0.997402 loss_bbox: 0.443348 loss_dfl: 0.426659 loss: 1.867410 eta: 8:51:38 batch_cost: 0.7258 data_cost: 0.1723 ips: 88.1788 images/s
[03/19 13:56:38] ppdet.engine INFO: Epoch: [218] [280/458] learning_rate: 0.054904 loss_vfl: 0.934230 loss_bbox: 0.432265 loss_dfl: 0.401193 loss: 1.773581 eta: 8:51:21 batch_cost: 0.9093 data_cost: 0.0775 ips: 70.3875 images/s
[03/19 13:56:57] ppdet.engine INFO: Epoch: [218] [300/458] learning_rate: 0.054849 loss_vfl: 1.049961 loss_bbox: 0.466956 loss_dfl: 0.439117 loss: 1.964265 eta: 8:51:04 batch_cost: 0.8324 data_cost: 0.0078 ips: 76.8850 images/s
[03/19 13:57:17] ppdet.engine INFO: Epoch: [218] [320/458] learning_rate: 0.054794 loss_vfl: 0.995339 loss_bbox: 0.438701 loss_dfl: 0.422542 loss: 1.858956 eta: 8:50:46 batch_cost: 0.8236 data_cost: 0.0881 ips: 77.7121 images/s
[03/19 13:57:38] ppdet.engine INFO: Epoch: [218] [340/458] learning_rate: 0.054738 loss_vfl: 0.992134 loss_bbox: 0.461182 loss_dfl: 0.422191 loss: 1.862545 eta: 8:50:29 batch_cost: 0.8622 data_cost: 0.1408 ips: 74.2275 images/s
[03/19 13:57:58] ppdet.engine INFO: Epoch: [218] [360/458] learning_rate: 0.054683 loss_vfl: 0.993592 loss_bbox: 0.473483 loss_dfl: 0.430507 loss: 1.887589 eta: 8:50:12 batch_cost: 0.8969 data_cost: 0.1265 ips: 71.3604 images/s
[03/19 13:58:17] ppdet.engine INFO: Epoch: [218] [380/458] learning_rate: 0.054628 loss_vfl: 1.007710 loss_bbox: 0.459629 loss_dfl: 0.429557 loss: 1.907601 eta: 8:49:55 batch_cost: 0.8058 data_cost: 0.0416 ips: 79.4216 images/s
[03/19 13:58:36] ppdet.engine INFO: Epoch: [218] [400/458] learning_rate: 0.054573 loss_vfl: 1.050457 loss_bbox: 0.451256 loss_dfl: 0.427262 loss: 1.930732 eta: 8:49:38 batch_cost: 0.8858 data_cost: 0.0032 ips: 72.2501 images/s
[03/19 13:58:59] ppdet.engine INFO: Epoch: [218] [420/458] learning_rate: 0.054518 loss_vfl: 1.005861 loss_bbox: 0.443656 loss_dfl: 0.424394 loss: 1.884061 eta: 8:49:22 batch_cost: 0.9535 data_cost: 0.0020 ips: 67.1210 images/s
[03/19 13:59:18] ppdet.engine INFO: Epoch: [218] [440/458] learning_rate: 0.054463 loss_vfl: 1.005987 loss_bbox: 0.453436 loss_dfl: 0.423994 loss: 1.885741 eta: 8:49:04 batch_cost: 0.7606 data_cost: 0.0040 ips: 84.1444 images/s
[03/19 13:59:39] ppdet.engine INFO: Epoch: [219] [  0/458] learning_rate: 0.054413 loss_vfl: 1.023222 loss_bbox: 0.455314 loss_dfl: 0.430217 loss: 1.903511 eta: 8:48:50 batch_cost: 1.0291 data_cost: 0.4685 ips: 62.1924 images/s
[03/19 13:59:55] ppdet.engine INFO: Epoch: [219] [ 20/458] learning_rate: 0.054358 loss_vfl: 1.053851 loss_bbox: 0.461399 loss_dfl: 0.438978 loss: 1.956330 eta: 8:48:31 batch_cost: 0.6451 data_cost: 0.0047 ips: 99.2023 images/s
[03/19 14:00:17] ppdet.engine INFO: Epoch: [219] [ 40/458] learning_rate: 0.054303 loss_vfl: 1.051556 loss_bbox: 0.460905 loss_dfl: 0.441801 loss: 1.933165 eta: 8:48:15 batch_cost: 0.9549 data_cost: 0.1483 ips: 67.0253 images/s
[03/19 14:00:38] ppdet.engine INFO: Epoch: [219] [ 60/458] learning_rate: 0.054248 loss_vfl: 1.017848 loss_bbox: 0.437724 loss_dfl: 0.424360 loss: 1.873992 eta: 8:47:58 batch_cost: 0.9403 data_cost: 0.1353 ips: 68.0646 images/s
[03/19 14:00:59] ppdet.engine INFO: Epoch: [219] [ 80/458] learning_rate: 0.054193 loss_vfl: 1.013633 loss_bbox: 0.436575 loss_dfl: 0.415387 loss: 1.853756 eta: 8:47:42 batch_cost: 0.9904 data_cost: 0.2640 ips: 64.6232 images/s
[03/19 14:01:17] ppdet.engine INFO: Epoch: [219] [100/458] learning_rate: 0.054138 loss_vfl: 1.019322 loss_bbox: 0.460076 loss_dfl: 0.427640 loss: 1.916656 eta: 8:47:24 batch_cost: 0.7289 data_cost: 0.1584 ips: 87.8087 images/s
[03/19 14:01:36] ppdet.engine INFO: Epoch: [219] [120/458] learning_rate: 0.054083 loss_vfl: 0.992469 loss_bbox: 0.456656 loss_dfl: 0.419325 loss: 1.857798 eta: 8:47:07 batch_cost: 0.8252 data_cost: 0.1952 ips: 77.5577 images/s
[03/19 14:01:56] ppdet.engine INFO: Epoch: [219] [140/458] learning_rate: 0.054028 loss_vfl: 1.048189 loss_bbox: 0.463860 loss_dfl: 0.437164 loss: 1.935968 eta: 8:46:50 batch_cost: 0.8879 data_cost: 0.3418 ips: 72.0816 images/s
[03/19 14:02:15] ppdet.engine INFO: Epoch: [219] [160/458] learning_rate: 0.053973 loss_vfl: 0.965961 loss_bbox: 0.434228 loss_dfl: 0.410279 loss: 1.809085 eta: 8:46:33 batch_cost: 0.8836 data_cost: 0.3169 ips: 72.4345 images/s
[03/19 14:02:33] ppdet.engine INFO: Epoch: [219] [180/458] learning_rate: 0.053918 loss_vfl: 1.009472 loss_bbox: 0.461459 loss_dfl: 0.432908 loss: 1.921810 eta: 8:46:15 batch_cost: 0.7529 data_cost: 0.1700 ips: 85.0083 images/s
[03/19 14:02:48] ppdet.engine INFO: Epoch: [219] [200/458] learning_rate: 0.053863 loss_vfl: 0.993296 loss_bbox: 0.433238 loss_dfl: 0.411384 loss: 1.808723 eta: 8:45:57 batch_cost: 0.6831 data_cost: 0.1735 ips: 93.6837 images/s
[03/19 14:03:03] ppdet.engine INFO: Epoch: [219] [220/458] learning_rate: 0.053808 loss_vfl: 1.002978 loss_bbox: 0.464953 loss_dfl: 0.427714 loss: 1.911925 eta: 8:45:38 batch_cost: 0.6597 data_cost: 0.0855 ips: 97.0190 images/s
[03/19 14:03:25] ppdet.engine INFO: Epoch: [219] [240/458] learning_rate: 0.053754 loss_vfl: 0.991479 loss_bbox: 0.450346 loss_dfl: 0.431527 loss: 1.888164 eta: 8:45:22 batch_cost: 0.9533 data_cost: 0.3572 ips: 67.1347 images/s
[03/19 14:03:42] ppdet.engine INFO: Epoch: [219] [260/458] learning_rate: 0.053699 loss_vfl: 1.031128 loss_bbox: 0.472790 loss_dfl: 0.447020 loss: 1.956084 eta: 8:45:04 batch_cost: 0.7527 data_cost: 0.2196 ips: 85.0254 images/s
[03/19 14:04:02] ppdet.engine INFO: Epoch: [219] [280/458] learning_rate: 0.053644 loss_vfl: 0.995776 loss_bbox: 0.462801 loss_dfl: 0.431024 loss: 1.879647 eta: 8:44:47 batch_cost: 0.8724 data_cost: 0.2767 ips: 73.3624 images/s
[03/19 14:04:20] ppdet.engine INFO: Epoch: [219] [300/458] learning_rate: 0.053589 loss_vfl: 1.012661 loss_bbox: 0.455779 loss_dfl: 0.430086 loss: 1.886928 eta: 8:44:30 batch_cost: 0.8115 data_cost: 0.1892 ips: 78.8654 images/s
[03/19 14:04:41] ppdet.engine INFO: Epoch: [219] [320/458] learning_rate: 0.053534 loss_vfl: 1.040278 loss_bbox: 0.472463 loss_dfl: 0.449977 loss: 1.975957 eta: 8:44:13 batch_cost: 0.8849 data_cost: 0.3090 ips: 72.3234 images/s
[03/19 14:05:00] ppdet.engine INFO: Epoch: [219] [340/458] learning_rate: 0.053480 loss_vfl: 0.998903 loss_bbox: 0.450882 loss_dfl: 0.416318 loss: 1.870002 eta: 8:43:56 batch_cost: 0.8281 data_cost: 0.1701 ips: 77.2826 images/s
[03/19 14:05:19] ppdet.engine INFO: Epoch: [219] [360/458] learning_rate: 0.053425 loss_vfl: 1.025650 loss_bbox: 0.439567 loss_dfl: 0.413802 loss: 1.886725 eta: 8:43:38 batch_cost: 0.7903 data_cost: 0.0894 ips: 80.9852 images/s
[03/19 14:05:40] ppdet.engine INFO: Epoch: [219] [380/458] learning_rate: 0.053370 loss_vfl: 1.037819 loss_bbox: 0.468171 loss_dfl: 0.441399 loss: 1.948963 eta: 8:43:21 batch_cost: 0.9019 data_cost: 0.0135 ips: 70.9612 images/s
[03/19 14:05:57] ppdet.engine INFO: Epoch: [219] [400/458] learning_rate: 0.053316 loss_vfl: 1.035236 loss_bbox: 0.473970 loss_dfl: 0.435451 loss: 1.954772 eta: 8:43:04 batch_cost: 0.7832 data_cost: 0.0816 ips: 81.7208 images/s
[03/19 14:06:16] ppdet.engine INFO: Epoch: [219] [420/458] learning_rate: 0.053261 loss_vfl: 1.053325 loss_bbox: 0.476931 loss_dfl: 0.454668 loss: 2.014986 eta: 8:42:46 batch_cost: 0.8070 data_cost: 0.0906 ips: 79.3094 images/s
[03/19 14:06:34] ppdet.engine INFO: Epoch: [219] [440/458] learning_rate: 0.053206 loss_vfl: 1.007180 loss_bbox: 0.466909 loss_dfl: 0.428627 loss: 1.895408 eta: 8:42:29 batch_cost: 0.8050 data_cost: 0.1659 ips: 79.5039 images/s
[03/19 14:06:47] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 14:06:48] ppdet.engine INFO: Eval iter: 0
[03/19 14:07:07] ppdet.engine INFO: Eval iter: 100
[03/19 14:07:16] ppdet.engine INFO: Eval iter: 200
[03/19 14:07:26] ppdet.engine INFO: Eval iter: 300
[03/19 14:07:35] ppdet.engine INFO: Eval iter: 400
[03/19 14:07:44] ppdet.engine INFO: Eval iter: 500
[03/19 14:07:53] ppdet.engine INFO: Eval iter: 600
[03/19 14:08:07] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.89s)
creating index...
index created!
[03/19 14:08:08] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.39s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=78.25s).
Accumulating evaluation results...
DONE (t=14.69s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.227
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.348
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.236
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.062
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.220
 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 ] = 0.233
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.373
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.396
 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 ] = 0.434
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.667
[03/19 14:09:47] ppdet.engine INFO: Total sample number: 4952, averge FPS: 72.88616375078405
[03/19 14:09:47] ppdet.engine INFO: Best test bbox ap is 0.227.
[03/19 14:09:47] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 14:09:48] ppdet.engine INFO: Epoch: [220] [  0/458] learning_rate: 0.053157 loss_vfl: 1.059184 loss_bbox: 0.494846 loss_dfl: 0.447969 loss: 2.000354 eta: 8:42:12 batch_cost: 0.6006 data_cost: 0.0917 ips: 106.5538 images/s
[03/19 14:10:01] ppdet.engine INFO: Epoch: [220] [ 20/458] learning_rate: 0.053103 loss_vfl: 1.058267 loss_bbox: 0.459392 loss_dfl: 0.428677 loss: 1.939928 eta: 8:41:53 batch_cost: 0.5853 data_cost: 0.1411 ips: 109.3461 images/s
[03/19 14:10:23] ppdet.engine INFO: Epoch: [220] [ 40/458] learning_rate: 0.053048 loss_vfl: 0.964920 loss_bbox: 0.431230 loss_dfl: 0.411652 loss: 1.786194 eta: 8:41:36 batch_cost: 0.9469 data_cost: 0.1243 ips: 67.5868 images/s
[03/19 14:10:40] ppdet.engine INFO: Epoch: [220] [ 60/458] learning_rate: 0.052994 loss_vfl: 1.019647 loss_bbox: 0.455513 loss_dfl: 0.427081 loss: 1.896818 eta: 8:41:19 batch_cost: 0.7848 data_cost: 0.1493 ips: 81.5456 images/s
[03/19 14:11:01] ppdet.engine INFO: Epoch: [220] [ 80/458] learning_rate: 0.052939 loss_vfl: 1.013802 loss_bbox: 0.460630 loss_dfl: 0.435055 loss: 1.917973 eta: 8:41:02 batch_cost: 0.9080 data_cost: 0.2316 ips: 70.4884 images/s
[03/19 14:11:23] ppdet.engine INFO: Epoch: [220] [100/458] learning_rate: 0.052885 loss_vfl: 1.001536 loss_bbox: 0.444636 loss_dfl: 0.416833 loss: 1.862912 eta: 8:40:45 batch_cost: 0.9449 data_cost: 0.1665 ips: 67.7302 images/s
[03/19 14:11:40] ppdet.engine INFO: Epoch: [220] [120/458] learning_rate: 0.052830 loss_vfl: 0.985676 loss_bbox: 0.451757 loss_dfl: 0.418320 loss: 1.856000 eta: 8:40:28 batch_cost: 0.7996 data_cost: 0.0005 ips: 80.0429 images/s
[03/19 14:11:59] ppdet.engine INFO: Epoch: [220] [140/458] learning_rate: 0.052776 loss_vfl: 0.980782 loss_bbox: 0.434710 loss_dfl: 0.408991 loss: 1.802551 eta: 8:40:10 batch_cost: 0.8027 data_cost: 0.0038 ips: 79.7311 images/s
[03/19 14:12:17] ppdet.engine INFO: Epoch: [220] [160/458] learning_rate: 0.052721 loss_vfl: 0.935559 loss_bbox: 0.431561 loss_dfl: 0.404458 loss: 1.761113 eta: 8:39:53 batch_cost: 0.7501 data_cost: 0.0029 ips: 85.3256 images/s
[03/19 14:12:37] ppdet.engine INFO: Epoch: [220] [180/458] learning_rate: 0.052667 loss_vfl: 1.008837 loss_bbox: 0.440210 loss_dfl: 0.428014 loss: 1.887446 eta: 8:39:36 batch_cost: 0.9213 data_cost: 0.1275 ips: 69.4708 images/s
[03/19 14:12:56] ppdet.engine INFO: Epoch: [220] [200/458] learning_rate: 0.052613 loss_vfl: 1.053582 loss_bbox: 0.485401 loss_dfl: 0.454171 loss: 1.993393 eta: 8:39:19 batch_cost: 0.8585 data_cost: 0.1524 ips: 74.5509 images/s
[03/19 14:13:16] ppdet.engine INFO: Epoch: [220] [220/458] learning_rate: 0.052558 loss_vfl: 1.059170 loss_bbox: 0.461535 loss_dfl: 0.447659 loss: 1.979177 eta: 8:39:02 batch_cost: 0.9026 data_cost: 0.0970 ips: 70.9024 images/s
[03/19 14:13:35] ppdet.engine INFO: Epoch: [220] [240/458] learning_rate: 0.052504 loss_vfl: 1.042543 loss_bbox: 0.461467 loss_dfl: 0.434828 loss: 1.949899 eta: 8:38:45 batch_cost: 0.8498 data_cost: 0.1554 ips: 75.3147 images/s
[03/19 14:13:54] ppdet.engine INFO: Epoch: [220] [260/458] learning_rate: 0.052450 loss_vfl: 1.037558 loss_bbox: 0.447902 loss_dfl: 0.436696 loss: 1.933307 eta: 8:38:27 batch_cost: 0.7721 data_cost: 0.0269 ips: 82.8934 images/s
[03/19 14:14:15] ppdet.engine INFO: Epoch: [220] [280/458] learning_rate: 0.052395 loss_vfl: 1.021600 loss_bbox: 0.473560 loss_dfl: 0.440707 loss: 1.938446 eta: 8:38:11 batch_cost: 0.9568 data_cost: 0.2755 ips: 66.8903 images/s
[03/19 14:14:32] ppdet.engine INFO: Epoch: [220] [300/458] learning_rate: 0.052341 loss_vfl: 1.016721 loss_bbox: 0.452558 loss_dfl: 0.421336 loss: 1.899621 eta: 8:37:53 batch_cost: 0.7234 data_cost: 0.0705 ips: 88.4712 images/s
[03/19 14:14:54] ppdet.engine INFO: Epoch: [220] [320/458] learning_rate: 0.052287 loss_vfl: 1.082440 loss_bbox: 0.479837 loss_dfl: 0.447903 loss: 2.011138 eta: 8:37:37 batch_cost: 1.0168 data_cost: 0.3756 ips: 62.9401 images/s
[03/19 14:15:12] ppdet.engine INFO: Epoch: [220] [340/458] learning_rate: 0.052233 loss_vfl: 1.029684 loss_bbox: 0.454455 loss_dfl: 0.429082 loss: 1.924165 eta: 8:37:19 batch_cost: 0.7870 data_cost: 0.1434 ips: 81.3199 images/s
[03/19 14:15:31] ppdet.engine INFO: Epoch: [220] [360/458] learning_rate: 0.052178 loss_vfl: 1.047266 loss_bbox: 0.450805 loss_dfl: 0.431866 loss: 1.934972 eta: 8:37:02 batch_cost: 0.7961 data_cost: 0.1269 ips: 80.3912 images/s
[03/19 14:15:50] ppdet.engine INFO: Epoch: [220] [380/458] learning_rate: 0.052124 loss_vfl: 1.031875 loss_bbox: 0.456611 loss_dfl: 0.429239 loss: 1.914392 eta: 8:36:45 batch_cost: 0.8351 data_cost: 0.2958 ips: 76.6406 images/s
[03/19 14:16:10] ppdet.engine INFO: Epoch: [220] [400/458] learning_rate: 0.052070 loss_vfl: 1.067206 loss_bbox: 0.490991 loss_dfl: 0.448170 loss: 2.003477 eta: 8:36:28 batch_cost: 0.8830 data_cost: 0.3406 ips: 72.4833 images/s
[03/19 14:16:28] ppdet.engine INFO: Epoch: [220] [420/458] learning_rate: 0.052016 loss_vfl: 0.974478 loss_bbox: 0.432354 loss_dfl: 0.401600 loss: 1.824891 eta: 8:36:10 batch_cost: 0.7585 data_cost: 0.1898 ips: 84.3717 images/s
[03/19 14:16:43] ppdet.engine INFO: Epoch: [220] [440/458] learning_rate: 0.051962 loss_vfl: 1.034663 loss_bbox: 0.457804 loss_dfl: 0.428625 loss: 1.926834 eta: 8:35:51 batch_cost: 0.6574 data_cost: 0.1224 ips: 97.3480 images/s
[03/19 14:17:02] ppdet.engine INFO: Epoch: [221] [  0/458] learning_rate: 0.051913 loss_vfl: 0.993989 loss_bbox: 0.428512 loss_dfl: 0.410455 loss: 1.840761 eta: 8:35:36 batch_cost: 0.8745 data_cost: 0.2306 ips: 73.1826 images/s
[03/19 14:17:23] ppdet.engine INFO: Epoch: [221] [ 20/458] learning_rate: 0.051859 loss_vfl: 0.992666 loss_bbox: 0.466232 loss_dfl: 0.427919 loss: 1.879498 eta: 8:35:20 batch_cost: 0.9389 data_cost: 0.1960 ips: 68.1659 images/s
[03/19 14:17:45] ppdet.engine INFO: Epoch: [221] [ 40/458] learning_rate: 0.051805 loss_vfl: 1.021649 loss_bbox: 0.462225 loss_dfl: 0.430888 loss: 1.917818 eta: 8:35:03 batch_cost: 0.9691 data_cost: 0.3802 ips: 66.0403 images/s
[03/19 14:18:06] ppdet.engine INFO: Epoch: [221] [ 60/458] learning_rate: 0.051751 loss_vfl: 1.005371 loss_bbox: 0.442730 loss_dfl: 0.420532 loss: 1.888439 eta: 8:34:47 batch_cost: 0.9720 data_cost: 0.3662 ips: 65.8469 images/s
[03/19 14:18:24] ppdet.engine INFO: Epoch: [221] [ 80/458] learning_rate: 0.051697 loss_vfl: 0.962719 loss_bbox: 0.452334 loss_dfl: 0.417933 loss: 1.815551 eta: 8:34:30 batch_cost: 0.7793 data_cost: 0.1738 ips: 82.1237 images/s
[03/19 14:18:45] ppdet.engine INFO: Epoch: [221] [100/458] learning_rate: 0.051643 loss_vfl: 1.010656 loss_bbox: 0.465660 loss_dfl: 0.430084 loss: 1.914740 eta: 8:34:13 batch_cost: 0.9049 data_cost: 0.2693 ips: 70.7246 images/s
[03/19 14:19:07] ppdet.engine INFO: Epoch: [221] [120/458] learning_rate: 0.051589 loss_vfl: 0.956536 loss_bbox: 0.435278 loss_dfl: 0.406306 loss: 1.788162 eta: 8:33:56 batch_cost: 0.9290 data_cost: 0.2047 ips: 68.8879 images/s
[03/19 14:19:26] ppdet.engine INFO: Epoch: [221] [140/458] learning_rate: 0.051535 loss_vfl: 1.036171 loss_bbox: 0.473457 loss_dfl: 0.441068 loss: 1.958348 eta: 8:33:39 batch_cost: 0.8475 data_cost: 0.2316 ips: 75.5203 images/s
[03/19 14:19:46] ppdet.engine INFO: Epoch: [221] [160/458] learning_rate: 0.051481 loss_vfl: 1.028439 loss_bbox: 0.446054 loss_dfl: 0.420293 loss: 1.885896 eta: 8:33:22 batch_cost: 0.8836 data_cost: 0.0529 ips: 72.4336 images/s
[03/19 14:20:06] ppdet.engine INFO: Epoch: [221] [180/458] learning_rate: 0.051428 loss_vfl: 1.039326 loss_bbox: 0.476838 loss_dfl: 0.442690 loss: 1.955848 eta: 8:33:05 batch_cost: 0.9010 data_cost: 0.2002 ips: 71.0361 images/s
[03/19 14:20:27] ppdet.engine INFO: Epoch: [221] [200/458] learning_rate: 0.051374 loss_vfl: 0.996333 loss_bbox: 0.443389 loss_dfl: 0.423876 loss: 1.874164 eta: 8:32:48 batch_cost: 0.8638 data_cost: 0.0012 ips: 74.0902 images/s
[03/19 14:20:47] ppdet.engine INFO: Epoch: [221] [220/458] learning_rate: 0.051320 loss_vfl: 1.053542 loss_bbox: 0.468803 loss_dfl: 0.441345 loss: 1.981424 eta: 8:32:31 batch_cost: 0.8534 data_cost: 0.1126 ips: 74.9916 images/s
[03/19 14:21:07] ppdet.engine INFO: Epoch: [221] [240/458] learning_rate: 0.051266 loss_vfl: 1.026976 loss_bbox: 0.462630 loss_dfl: 0.437952 loss: 1.949246 eta: 8:32:14 batch_cost: 0.8581 data_cost: 0.2519 ips: 74.5831 images/s
[03/19 14:21:27] ppdet.engine INFO: Epoch: [221] [260/458] learning_rate: 0.051212 loss_vfl: 1.031437 loss_bbox: 0.459037 loss_dfl: 0.433113 loss: 1.910169 eta: 8:31:57 batch_cost: 0.8617 data_cost: 0.0039 ips: 74.2747 images/s
[03/19 14:21:49] ppdet.engine INFO: Epoch: [221] [280/458] learning_rate: 0.051159 loss_vfl: 1.012695 loss_bbox: 0.457387 loss_dfl: 0.431764 loss: 1.868380 eta: 8:31:41 batch_cost: 1.0008 data_cost: 0.2853 ips: 63.9484 images/s
[03/19 14:22:09] ppdet.engine INFO: Epoch: [221] [300/458] learning_rate: 0.051105 loss_vfl: 1.009638 loss_bbox: 0.462019 loss_dfl: 0.436577 loss: 1.928206 eta: 8:31:24 batch_cost: 0.8716 data_cost: 0.3497 ips: 73.4301 images/s
[03/19 14:22:29] ppdet.engine INFO: Epoch: [221] [320/458] learning_rate: 0.051051 loss_vfl: 0.997439 loss_bbox: 0.456047 loss_dfl: 0.430458 loss: 1.906856 eta: 8:31:07 batch_cost: 0.8539 data_cost: 0.2263 ips: 74.9476 images/s
[03/19 14:22:51] ppdet.engine INFO: Epoch: [221] [340/458] learning_rate: 0.050997 loss_vfl: 1.009118 loss_bbox: 0.460052 loss_dfl: 0.441572 loss: 1.923131 eta: 8:30:50 batch_cost: 0.9307 data_cost: 0.0777 ips: 68.7681 images/s
[03/19 14:23:11] ppdet.engine INFO: Epoch: [221] [360/458] learning_rate: 0.050944 loss_vfl: 1.001621 loss_bbox: 0.434203 loss_dfl: 0.413524 loss: 1.867139 eta: 8:30:33 batch_cost: 0.8886 data_cost: 0.0037 ips: 72.0265 images/s
[03/19 14:23:26] ppdet.engine INFO: Epoch: [221] [380/458] learning_rate: 0.050890 loss_vfl: 0.999133 loss_bbox: 0.452399 loss_dfl: 0.416036 loss: 1.856187 eta: 8:30:15 batch_cost: 0.7006 data_cost: 0.0012 ips: 91.3470 images/s
[03/19 14:23:44] ppdet.engine INFO: Epoch: [221] [400/458] learning_rate: 0.050836 loss_vfl: 1.077225 loss_bbox: 0.473488 loss_dfl: 0.450221 loss: 1.976464 eta: 8:29:58 batch_cost: 0.7865 data_cost: 0.1194 ips: 81.3775 images/s
[03/19 14:24:01] ppdet.engine INFO: Epoch: [221] [420/458] learning_rate: 0.050783 loss_vfl: 1.015787 loss_bbox: 0.453583 loss_dfl: 0.431916 loss: 1.892995 eta: 8:29:40 batch_cost: 0.7078 data_cost: 0.0639 ips: 90.4223 images/s
[03/19 14:24:22] ppdet.engine INFO: Epoch: [221] [440/458] learning_rate: 0.050729 loss_vfl: 1.021601 loss_bbox: 0.451490 loss_dfl: 0.430220 loss: 1.888061 eta: 8:29:23 batch_cost: 0.8654 data_cost: 0.1216 ips: 73.9523 images/s
[03/19 14:24:45] ppdet.engine INFO: Epoch: [222] [  0/458] learning_rate: 0.050681 loss_vfl: 1.018921 loss_bbox: 0.437667 loss_dfl: 0.413281 loss: 1.871571 eta: 8:29:09 batch_cost: 1.1947 data_cost: 0.4571 ips: 53.5715 images/s
[03/19 14:25:03] ppdet.engine INFO: Epoch: [222] [ 20/458] learning_rate: 0.050628 loss_vfl: 1.020039 loss_bbox: 0.452561 loss_dfl: 0.427239 loss: 1.891640 eta: 8:28:51 batch_cost: 0.7751 data_cost: 0.0490 ips: 82.5688 images/s
[03/19 14:25:23] ppdet.engine INFO: Epoch: [222] [ 40/458] learning_rate: 0.050574 loss_vfl: 0.977009 loss_bbox: 0.441490 loss_dfl: 0.405086 loss: 1.831833 eta: 8:28:34 batch_cost: 0.8810 data_cost: 0.0024 ips: 72.6425 images/s
[03/19 14:25:44] ppdet.engine INFO: Epoch: [222] [ 60/458] learning_rate: 0.050521 loss_vfl: 0.995402 loss_bbox: 0.459029 loss_dfl: 0.420365 loss: 1.869454 eta: 8:28:17 batch_cost: 0.8909 data_cost: 0.0054 ips: 71.8335 images/s
[03/19 14:26:03] ppdet.engine INFO: Epoch: [222] [ 80/458] learning_rate: 0.050467 loss_vfl: 0.976304 loss_bbox: 0.444435 loss_dfl: 0.413362 loss: 1.842623 eta: 8:28:00 batch_cost: 0.8094 data_cost: 0.0032 ips: 79.0679 images/s
[03/19 14:26:23] ppdet.engine INFO: Epoch: [222] [100/458] learning_rate: 0.050414 loss_vfl: 1.021332 loss_bbox: 0.461729 loss_dfl: 0.442958 loss: 1.912921 eta: 8:27:43 batch_cost: 0.8603 data_cost: 0.0041 ips: 74.3946 images/s
[03/19 14:26:44] ppdet.engine INFO: Epoch: [222] [120/458] learning_rate: 0.050360 loss_vfl: 1.048174 loss_bbox: 0.450450 loss_dfl: 0.432527 loss: 1.931430 eta: 8:27:26 batch_cost: 0.9300 data_cost: 0.0708 ips: 68.8139 images/s
[03/19 14:27:04] ppdet.engine INFO: Epoch: [222] [140/458] learning_rate: 0.050307 loss_vfl: 0.953969 loss_bbox: 0.435791 loss_dfl: 0.411120 loss: 1.827759 eta: 8:27:10 batch_cost: 0.8978 data_cost: 0.0030 ips: 71.2878 images/s
[03/19 14:27:21] ppdet.engine INFO: Epoch: [222] [160/458] learning_rate: 0.050253 loss_vfl: 0.983410 loss_bbox: 0.448384 loss_dfl: 0.407261 loss: 1.841242 eta: 8:26:52 batch_cost: 0.7557 data_cost: 0.0042 ips: 84.6870 images/s
[03/19 14:27:43] ppdet.engine INFO: Epoch: [222] [180/458] learning_rate: 0.050200 loss_vfl: 1.044577 loss_bbox: 0.450100 loss_dfl: 0.431519 loss: 1.928883 eta: 8:26:35 batch_cost: 0.8919 data_cost: 0.1041 ips: 71.7532 images/s
[03/19 14:28:03] ppdet.engine INFO: Epoch: [222] [200/458] learning_rate: 0.050147 loss_vfl: 1.045211 loss_bbox: 0.486076 loss_dfl: 0.443414 loss: 1.961818 eta: 8:26:18 batch_cost: 0.8945 data_cost: 0.1475 ips: 71.5444 images/s
[03/19 14:28:26] ppdet.engine INFO: Epoch: [222] [220/458] learning_rate: 0.050094 loss_vfl: 0.999951 loss_bbox: 0.456866 loss_dfl: 0.426702 loss: 1.864310 eta: 8:26:02 batch_cost: 1.0061 data_cost: 0.3472 ips: 63.6136 images/s
[03/19 14:28:43] ppdet.engine INFO: Epoch: [222] [240/458] learning_rate: 0.050040 loss_vfl: 1.002379 loss_bbox: 0.466084 loss_dfl: 0.434305 loss: 1.902324 eta: 8:25:44 batch_cost: 0.7336 data_cost: 0.1371 ips: 87.2442 images/s
[03/19 14:29:04] ppdet.engine INFO: Epoch: [222] [260/458] learning_rate: 0.049987 loss_vfl: 1.008036 loss_bbox: 0.457228 loss_dfl: 0.430283 loss: 1.901221 eta: 8:25:28 batch_cost: 0.9782 data_cost: 0.1706 ips: 65.4272 images/s
[03/19 14:29:22] ppdet.engine INFO: Epoch: [222] [280/458] learning_rate: 0.049934 loss_vfl: 0.986532 loss_bbox: 0.445812 loss_dfl: 0.413721 loss: 1.844561 eta: 8:25:10 batch_cost: 0.7782 data_cost: 0.0929 ips: 82.2379 images/s
[03/19 14:29:44] ppdet.engine INFO: Epoch: [222] [300/458] learning_rate: 0.049881 loss_vfl: 1.003057 loss_bbox: 0.453748 loss_dfl: 0.425572 loss: 1.877064 eta: 8:24:54 batch_cost: 1.0318 data_cost: 0.4174 ips: 62.0272 images/s
[03/19 14:30:04] ppdet.engine INFO: Epoch: [222] [320/458] learning_rate: 0.049827 loss_vfl: 0.994281 loss_bbox: 0.445219 loss_dfl: 0.416982 loss: 1.848076 eta: 8:24:37 batch_cost: 0.8698 data_cost: 0.2962 ips: 73.5797 images/s
[03/19 14:30:21] ppdet.engine INFO: Epoch: [222] [340/458] learning_rate: 0.049774 loss_vfl: 1.023441 loss_bbox: 0.462150 loss_dfl: 0.438348 loss: 1.938870 eta: 8:24:20 batch_cost: 0.7925 data_cost: 0.2216 ips: 80.7569 images/s
[03/19 14:30:36] ppdet.engine INFO: Epoch: [222] [360/458] learning_rate: 0.049721 loss_vfl: 0.990745 loss_bbox: 0.443125 loss_dfl: 0.417052 loss: 1.860314 eta: 8:24:01 batch_cost: 0.6652 data_cost: 0.0996 ips: 96.2132 images/s
[03/19 14:30:53] ppdet.engine INFO: Epoch: [222] [380/458] learning_rate: 0.049668 loss_vfl: 0.950471 loss_bbox: 0.428867 loss_dfl: 0.406766 loss: 1.787864 eta: 8:23:43 batch_cost: 0.7156 data_cost: 0.0020 ips: 89.4356 images/s
[03/19 14:31:14] ppdet.engine INFO: Epoch: [222] [400/458] learning_rate: 0.049615 loss_vfl: 1.009511 loss_bbox: 0.461649 loss_dfl: 0.416410 loss: 1.866387 eta: 8:23:26 batch_cost: 0.8826 data_cost: 0.0056 ips: 72.5100 images/s
[03/19 14:31:34] ppdet.engine INFO: Epoch: [222] [420/458] learning_rate: 0.049562 loss_vfl: 1.026339 loss_bbox: 0.454877 loss_dfl: 0.437143 loss: 1.920188 eta: 8:23:09 batch_cost: 0.8528 data_cost: 0.0294 ips: 75.0432 images/s
[03/19 14:31:54] ppdet.engine INFO: Epoch: [222] [440/458] learning_rate: 0.049509 loss_vfl: 1.021820 loss_bbox: 0.462130 loss_dfl: 0.430196 loss: 1.929556 eta: 8:22:52 batch_cost: 0.7984 data_cost: 0.0066 ips: 80.1553 images/s
[03/19 14:32:18] ppdet.engine INFO: Epoch: [223] [  0/458] learning_rate: 0.049461 loss_vfl: 0.982536 loss_bbox: 0.445449 loss_dfl: 0.413275 loss: 1.833817 eta: 8:22:38 batch_cost: 1.1231 data_cost: 0.4960 ips: 56.9870 images/s
[03/19 14:32:37] ppdet.engine INFO: Epoch: [223] [ 20/458] learning_rate: 0.049408 loss_vfl: 0.998338 loss_bbox: 0.459366 loss_dfl: 0.415128 loss: 1.848112 eta: 8:22:21 batch_cost: 0.7712 data_cost: 0.0738 ips: 82.9906 images/s
[03/19 14:32:57] ppdet.engine INFO: Epoch: [223] [ 40/458] learning_rate: 0.049355 loss_vfl: 1.033346 loss_bbox: 0.477753 loss_dfl: 0.445815 loss: 1.964270 eta: 8:22:04 batch_cost: 0.9092 data_cost: 0.0102 ips: 70.3884 images/s
[03/19 14:33:20] ppdet.engine INFO: Epoch: [223] [ 60/458] learning_rate: 0.049302 loss_vfl: 1.018735 loss_bbox: 0.450747 loss_dfl: 0.426157 loss: 1.903325 eta: 8:21:48 batch_cost: 1.0494 data_cost: 0.0591 ips: 60.9863 images/s
[03/19 14:33:44] ppdet.engine INFO: Epoch: [223] [ 80/458] learning_rate: 0.049249 loss_vfl: 0.999256 loss_bbox: 0.458358 loss_dfl: 0.430964 loss: 1.889083 eta: 8:21:33 batch_cost: 1.0870 data_cost: 0.0307 ips: 58.8779 images/s
[03/19 14:34:01] ppdet.engine INFO: Epoch: [223] [100/458] learning_rate: 0.049196 loss_vfl: 1.014829 loss_bbox: 0.454159 loss_dfl: 0.421781 loss: 1.891022 eta: 8:21:15 batch_cost: 0.7508 data_cost: 0.0044 ips: 85.2452 images/s
[03/19 14:34:23] ppdet.engine INFO: Epoch: [223] [120/458] learning_rate: 0.049143 loss_vfl: 1.000460 loss_bbox: 0.440111 loss_dfl: 0.420578 loss: 1.857348 eta: 8:20:59 batch_cost: 0.9716 data_cost: 0.0561 ips: 65.8692 images/s
[03/19 14:34:44] ppdet.engine INFO: Epoch: [223] [140/458] learning_rate: 0.049090 loss_vfl: 1.024729 loss_bbox: 0.488261 loss_dfl: 0.446325 loss: 1.983491 eta: 8:20:41 batch_cost: 0.8463 data_cost: 0.1534 ips: 75.6241 images/s
[03/19 14:35:06] ppdet.engine INFO: Epoch: [223] [160/458] learning_rate: 0.049038 loss_vfl: 1.023997 loss_bbox: 0.454197 loss_dfl: 0.431194 loss: 1.934465 eta: 8:20:25 batch_cost: 0.9294 data_cost: 0.3064 ips: 68.8590 images/s
[03/19 14:35:26] ppdet.engine INFO: Epoch: [223] [180/458] learning_rate: 0.048985 loss_vfl: 0.990399 loss_bbox: 0.446361 loss_dfl: 0.421929 loss: 1.873652 eta: 8:20:08 batch_cost: 0.9090 data_cost: 0.3962 ips: 70.4083 images/s
[03/19 14:35:46] ppdet.engine INFO: Epoch: [223] [200/458] learning_rate: 0.048932 loss_vfl: 1.003539 loss_bbox: 0.457109 loss_dfl: 0.428183 loss: 1.894194 eta: 8:19:51 batch_cost: 0.8424 data_cost: 0.3177 ips: 75.9721 images/s
[03/19 14:36:08] ppdet.engine INFO: Epoch: [223] [220/458] learning_rate: 0.048879 loss_vfl: 1.047663 loss_bbox: 0.454029 loss_dfl: 0.429584 loss: 1.940725 eta: 8:19:35 batch_cost: 0.9948 data_cost: 0.4423 ips: 64.3344 images/s
[03/19 14:36:29] ppdet.engine INFO: Epoch: [223] [240/458] learning_rate: 0.048827 loss_vfl: 1.045091 loss_bbox: 0.456298 loss_dfl: 0.443198 loss: 1.919085 eta: 8:19:18 batch_cost: 0.9077 data_cost: 0.3954 ips: 70.5107 images/s
[03/19 14:36:50] ppdet.engine INFO: Epoch: [223] [260/458] learning_rate: 0.048774 loss_vfl: 1.017546 loss_bbox: 0.446136 loss_dfl: 0.421266 loss: 1.908973 eta: 8:19:02 batch_cost: 0.9610 data_cost: 0.4376 ips: 66.5963 images/s
[03/19 14:37:06] ppdet.engine INFO: Epoch: [223] [280/458] learning_rate: 0.048721 loss_vfl: 1.026633 loss_bbox: 0.451626 loss_dfl: 0.431671 loss: 1.910071 eta: 8:18:44 batch_cost: 0.7220 data_cost: 0.1563 ips: 88.6478 images/s
[03/19 14:37:21] ppdet.engine INFO: Epoch: [223] [300/458] learning_rate: 0.048668 loss_vfl: 1.003914 loss_bbox: 0.461174 loss_dfl: 0.421776 loss: 1.877779 eta: 8:18:25 batch_cost: 0.5969 data_cost: 0.1214 ips: 107.2135 images/s
[03/19 14:37:38] ppdet.engine INFO: Epoch: [223] [320/458] learning_rate: 0.048616 loss_vfl: 1.010635 loss_bbox: 0.448142 loss_dfl: 0.421528 loss: 1.864326 eta: 8:18:07 batch_cost: 0.7743 data_cost: 0.2312 ips: 82.6508 images/s
[03/19 14:37:57] ppdet.engine INFO: Epoch: [223] [340/458] learning_rate: 0.048563 loss_vfl: 1.013400 loss_bbox: 0.460664 loss_dfl: 0.433213 loss: 1.907364 eta: 8:17:50 batch_cost: 0.8398 data_cost: 0.2026 ips: 76.2121 images/s
[03/19 14:38:19] ppdet.engine INFO: Epoch: [223] [360/458] learning_rate: 0.048511 loss_vfl: 1.041719 loss_bbox: 0.473110 loss_dfl: 0.441796 loss: 1.940102 eta: 8:17:33 batch_cost: 0.9530 data_cost: 0.3039 ips: 67.1562 images/s
[03/19 14:38:41] ppdet.engine INFO: Epoch: [223] [380/458] learning_rate: 0.048458 loss_vfl: 1.041224 loss_bbox: 0.472550 loss_dfl: 0.445211 loss: 1.969537 eta: 8:17:17 batch_cost: 1.0219 data_cost: 0.3910 ips: 62.6277 images/s
[03/19 14:39:01] ppdet.engine INFO: Epoch: [223] [400/458] learning_rate: 0.048405 loss_vfl: 1.003812 loss_bbox: 0.458337 loss_dfl: 0.434613 loss: 1.901427 eta: 8:17:00 batch_cost: 0.8544 data_cost: 0.3207 ips: 74.9095 images/s
[03/19 14:39:22] ppdet.engine INFO: Epoch: [223] [420/458] learning_rate: 0.048353 loss_vfl: 1.003518 loss_bbox: 0.455277 loss_dfl: 0.429950 loss: 1.895485 eta: 8:16:44 batch_cost: 0.9829 data_cost: 0.3758 ips: 65.1150 images/s
[03/19 14:39:44] ppdet.engine INFO: Epoch: [223] [440/458] learning_rate: 0.048300 loss_vfl: 1.034517 loss_bbox: 0.461691 loss_dfl: 0.434056 loss: 1.941250 eta: 8:16:28 batch_cost: 1.0224 data_cost: 0.4601 ips: 62.6000 images/s
[03/19 14:40:07] ppdet.engine INFO: Epoch: [224] [  0/458] learning_rate: 0.048253 loss_vfl: 1.055778 loss_bbox: 0.477726 loss_dfl: 0.446960 loss: 1.969300 eta: 8:16:14 batch_cost: 1.1689 data_cost: 0.7451 ips: 54.7509 images/s
[03/19 14:40:26] ppdet.engine INFO: Epoch: [224] [ 20/458] learning_rate: 0.048201 loss_vfl: 1.054260 loss_bbox: 0.484098 loss_dfl: 0.459078 loss: 1.998684 eta: 8:15:56 batch_cost: 0.7636 data_cost: 0.0030 ips: 83.8184 images/s
[03/19 14:40:46] ppdet.engine INFO: Epoch: [224] [ 40/458] learning_rate: 0.048148 loss_vfl: 1.044606 loss_bbox: 0.474204 loss_dfl: 0.442059 loss: 1.950980 eta: 8:15:40 batch_cost: 0.8976 data_cost: 0.1929 ips: 71.3017 images/s
[03/19 14:41:07] ppdet.engine INFO: Epoch: [224] [ 60/458] learning_rate: 0.048096 loss_vfl: 1.018277 loss_bbox: 0.463802 loss_dfl: 0.438808 loss: 1.913894 eta: 8:15:23 batch_cost: 0.9767 data_cost: 0.4517 ips: 65.5266 images/s
[03/19 14:41:26] ppdet.engine INFO: Epoch: [224] [ 80/458] learning_rate: 0.048043 loss_vfl: 0.959364 loss_bbox: 0.446055 loss_dfl: 0.402612 loss: 1.791832 eta: 8:15:06 batch_cost: 0.8331 data_cost: 0.1525 ips: 76.8184 images/s
[03/19 14:41:47] ppdet.engine INFO: Epoch: [224] [100/458] learning_rate: 0.047991 loss_vfl: 1.004482 loss_bbox: 0.451974 loss_dfl: 0.413558 loss: 1.874984 eta: 8:14:50 batch_cost: 0.9612 data_cost: 0.4176 ips: 66.5813 images/s
[03/19 14:42:07] ppdet.engine INFO: Epoch: [224] [120/458] learning_rate: 0.047939 loss_vfl: 0.993255 loss_bbox: 0.450291 loss_dfl: 0.419868 loss: 1.848128 eta: 8:14:33 batch_cost: 0.8839 data_cost: 0.2420 ips: 72.4048 images/s
[03/19 14:42:25] ppdet.engine INFO: Epoch: [224] [140/458] learning_rate: 0.047886 loss_vfl: 0.985358 loss_bbox: 0.418661 loss_dfl: 0.405138 loss: 1.817191 eta: 8:14:15 batch_cost: 0.8070 data_cost: 0.2111 ips: 79.3020 images/s
[03/19 14:42:48] ppdet.engine INFO: Epoch: [224] [160/458] learning_rate: 0.047834 loss_vfl: 0.995646 loss_bbox: 0.446750 loss_dfl: 0.412614 loss: 1.867867 eta: 8:13:59 batch_cost: 0.9868 data_cost: 0.4088 ips: 64.8568 images/s
[03/19 14:43:06] ppdet.engine INFO: Epoch: [224] [180/458] learning_rate: 0.047782 loss_vfl: 0.957649 loss_bbox: 0.440336 loss_dfl: 0.402566 loss: 1.787715 eta: 8:13:42 batch_cost: 0.8569 data_cost: 0.2185 ips: 74.6885 images/s
[03/19 14:43:29] ppdet.engine INFO: Epoch: [224] [200/458] learning_rate: 0.047730 loss_vfl: 1.018967 loss_bbox: 0.464713 loss_dfl: 0.436459 loss: 1.922992 eta: 8:13:26 batch_cost: 1.0216 data_cost: 0.3344 ips: 62.6460 images/s
[03/19 14:43:50] ppdet.engine INFO: Epoch: [224] [220/458] learning_rate: 0.047677 loss_vfl: 1.039824 loss_bbox: 0.467790 loss_dfl: 0.450005 loss: 1.968321 eta: 8:13:10 batch_cost: 0.9663 data_cost: 0.5074 ips: 66.2325 images/s
[03/19 14:44:05] ppdet.engine INFO: Epoch: [224] [240/458] learning_rate: 0.047625 loss_vfl: 1.068540 loss_bbox: 0.493351 loss_dfl: 0.457776 loss: 2.025973 eta: 8:12:52 batch_cost: 0.6951 data_cost: 0.1663 ips: 92.0745 images/s
[03/19 14:44:22] ppdet.engine INFO: Epoch: [224] [260/458] learning_rate: 0.047573 loss_vfl: 0.969817 loss_bbox: 0.426879 loss_dfl: 0.417747 loss: 1.831133 eta: 8:12:34 batch_cost: 0.7755 data_cost: 0.3365 ips: 82.5289 images/s
[03/19 14:44:40] ppdet.engine INFO: Epoch: [224] [280/458] learning_rate: 0.047521 loss_vfl: 1.036691 loss_bbox: 0.464597 loss_dfl: 0.434333 loss: 1.938004 eta: 8:12:17 batch_cost: 0.8263 data_cost: 0.2739 ips: 77.4508 images/s
[03/19 14:45:04] ppdet.engine INFO: Epoch: [224] [300/458] learning_rate: 0.047469 loss_vfl: 1.031142 loss_bbox: 0.459554 loss_dfl: 0.431655 loss: 1.929248 eta: 8:12:01 batch_cost: 1.1142 data_cost: 0.5283 ips: 57.4418 images/s
[03/19 14:45:23] ppdet.engine INFO: Epoch: [224] [320/458] learning_rate: 0.047416 loss_vfl: 1.009623 loss_bbox: 0.441048 loss_dfl: 0.430089 loss: 1.887643 eta: 8:11:44 batch_cost: 0.8120 data_cost: 0.2901 ips: 78.8160 images/s
[03/19 14:45:43] ppdet.engine INFO: Epoch: [224] [340/458] learning_rate: 0.047364 loss_vfl: 1.031741 loss_bbox: 0.448352 loss_dfl: 0.424430 loss: 1.917888 eta: 8:11:27 batch_cost: 0.9239 data_cost: 0.0009 ips: 69.2753 images/s
[03/19 14:46:03] ppdet.engine INFO: Epoch: [224] [360/458] learning_rate: 0.047312 loss_vfl: 0.963986 loss_bbox: 0.432967 loss_dfl: 0.412587 loss: 1.802894 eta: 8:11:11 batch_cost: 0.9280 data_cost: 0.0611 ips: 68.9638 images/s
[03/19 14:46:23] ppdet.engine INFO: Epoch: [224] [380/458] learning_rate: 0.047260 loss_vfl: 1.005104 loss_bbox: 0.452434 loss_dfl: 0.428524 loss: 1.909844 eta: 8:10:54 batch_cost: 0.9002 data_cost: 0.1523 ips: 71.0942 images/s
[03/19 14:46:46] ppdet.engine INFO: Epoch: [224] [400/458] learning_rate: 0.047208 loss_vfl: 0.994037 loss_bbox: 0.451363 loss_dfl: 0.430906 loss: 1.875169 eta: 8:10:38 batch_cost: 1.0630 data_cost: 0.5279 ips: 60.2067 images/s
[03/19 14:47:07] ppdet.engine INFO: Epoch: [224] [420/458] learning_rate: 0.047156 loss_vfl: 0.940692 loss_bbox: 0.433258 loss_dfl: 0.406128 loss: 1.790412 eta: 8:10:21 batch_cost: 0.9278 data_cost: 0.3681 ips: 68.9802 images/s
[03/19 14:47:26] ppdet.engine INFO: Epoch: [224] [440/458] learning_rate: 0.047104 loss_vfl: 1.000050 loss_bbox: 0.455737 loss_dfl: 0.421575 loss: 1.885181 eta: 8:10:04 batch_cost: 0.8068 data_cost: 0.2736 ips: 79.3305 images/s
[03/19 14:47:50] ppdet.engine INFO: Epoch: [225] [  0/458] learning_rate: 0.047058 loss_vfl: 1.020691 loss_bbox: 0.475040 loss_dfl: 0.429622 loss: 1.904534 eta: 8:09:50 batch_cost: 1.1202 data_cost: 0.5840 ips: 57.1325 images/s
[03/19 14:48:09] ppdet.engine INFO: Epoch: [225] [ 20/458] learning_rate: 0.047006 loss_vfl: 1.025216 loss_bbox: 0.455674 loss_dfl: 0.421600 loss: 1.888389 eta: 8:09:33 batch_cost: 0.8167 data_cost: 0.0655 ips: 78.3659 images/s
[03/19 14:48:31] ppdet.engine INFO: Epoch: [225] [ 40/458] learning_rate: 0.046954 loss_vfl: 1.052585 loss_bbox: 0.462144 loss_dfl: 0.435761 loss: 1.917695 eta: 8:09:17 batch_cost: 0.9947 data_cost: 0.3184 ips: 64.3389 images/s
[03/19 14:48:53] ppdet.engine INFO: Epoch: [225] [ 60/458] learning_rate: 0.046902 loss_vfl: 1.010220 loss_bbox: 0.462675 loss_dfl: 0.434220 loss: 1.894873 eta: 8:09:01 batch_cost: 0.9984 data_cost: 0.3977 ips: 64.1008 images/s
[03/19 14:49:12] ppdet.engine INFO: Epoch: [225] [ 80/458] learning_rate: 0.046850 loss_vfl: 1.050484 loss_bbox: 0.475930 loss_dfl: 0.432065 loss: 1.946023 eta: 8:08:44 batch_cost: 0.8398 data_cost: 0.1952 ips: 76.2098 images/s
[03/19 14:49:32] ppdet.engine INFO: Epoch: [225] [100/458] learning_rate: 0.046798 loss_vfl: 1.008716 loss_bbox: 0.457271 loss_dfl: 0.425363 loss: 1.877419 eta: 8:08:26 batch_cost: 0.8597 data_cost: 0.2014 ips: 74.4440 images/s
[03/19 14:49:51] ppdet.engine INFO: Epoch: [225] [120/458] learning_rate: 0.046746 loss_vfl: 1.015669 loss_bbox: 0.472241 loss_dfl: 0.431469 loss: 1.940134 eta: 8:08:09 batch_cost: 0.8556 data_cost: 0.0057 ips: 74.8056 images/s
[03/19 14:50:12] ppdet.engine INFO: Epoch: [225] [140/458] learning_rate: 0.046695 loss_vfl: 1.031128 loss_bbox: 0.452435 loss_dfl: 0.421719 loss: 1.922581 eta: 8:07:53 batch_cost: 0.9475 data_cost: 0.0013 ips: 67.5496 images/s
[03/19 14:50:30] ppdet.engine INFO: Epoch: [225] [160/458] learning_rate: 0.046643 loss_vfl: 1.038421 loss_bbox: 0.470618 loss_dfl: 0.439002 loss: 1.950041 eta: 8:07:35 batch_cost: 0.7928 data_cost: 0.0361 ips: 80.7279 images/s
[03/19 14:50:47] ppdet.engine INFO: Epoch: [225] [180/458] learning_rate: 0.046591 loss_vfl: 0.971378 loss_bbox: 0.435509 loss_dfl: 0.407713 loss: 1.823626 eta: 8:07:17 batch_cost: 0.7076 data_cost: 0.0966 ips: 90.4449 images/s
[03/19 14:51:01] ppdet.engine INFO: Epoch: [225] [200/458] learning_rate: 0.046539 loss_vfl: 1.038263 loss_bbox: 0.485321 loss_dfl: 0.441302 loss: 1.968623 eta: 8:06:59 batch_cost: 0.6519 data_cost: 0.0016 ips: 98.1744 images/s
[03/19 14:51:19] ppdet.engine INFO: Epoch: [225] [220/458] learning_rate: 0.046488 loss_vfl: 1.040065 loss_bbox: 0.473858 loss_dfl: 0.439939 loss: 1.960083 eta: 8:06:41 batch_cost: 0.7684 data_cost: 0.0874 ips: 83.2876 images/s
[03/19 14:51:37] ppdet.engine INFO: Epoch: [225] [240/458] learning_rate: 0.046436 loss_vfl: 0.997093 loss_bbox: 0.455269 loss_dfl: 0.413803 loss: 1.853595 eta: 8:06:24 batch_cost: 0.8322 data_cost: 0.1107 ips: 76.9043 images/s
[03/19 14:51:57] ppdet.engine INFO: Epoch: [225] [260/458] learning_rate: 0.046384 loss_vfl: 1.019958 loss_bbox: 0.475995 loss_dfl: 0.438608 loss: 1.936145 eta: 8:06:07 batch_cost: 0.9041 data_cost: 0.2190 ips: 70.7880 images/s
[03/19 14:52:16] ppdet.engine INFO: Epoch: [225] [280/458] learning_rate: 0.046333 loss_vfl: 1.043153 loss_bbox: 0.447203 loss_dfl: 0.446764 loss: 1.939832 eta: 8:05:49 batch_cost: 0.7479 data_cost: 0.1379 ips: 85.5709 images/s
[03/19 14:52:35] ppdet.engine INFO: Epoch: [225] [300/458] learning_rate: 0.046281 loss_vfl: 0.972274 loss_bbox: 0.459052 loss_dfl: 0.424956 loss: 1.871454 eta: 8:05:32 batch_cost: 0.8021 data_cost: 0.1576 ips: 79.7873 images/s
[03/19 14:52:57] ppdet.engine INFO: Epoch: [225] [320/458] learning_rate: 0.046230 loss_vfl: 1.000635 loss_bbox: 0.467359 loss_dfl: 0.430633 loss: 1.883919 eta: 8:05:15 batch_cost: 0.9790 data_cost: 0.2832 ips: 65.3724 images/s
[03/19 14:53:15] ppdet.engine INFO: Epoch: [225] [340/458] learning_rate: 0.046178 loss_vfl: 0.995553 loss_bbox: 0.439802 loss_dfl: 0.420146 loss: 1.856794 eta: 8:04:58 batch_cost: 0.7457 data_cost: 0.0038 ips: 85.8301 images/s
[03/19 14:53:33] ppdet.engine INFO: Epoch: [225] [360/458] learning_rate: 0.046126 loss_vfl: 0.976341 loss_bbox: 0.484046 loss_dfl: 0.424364 loss: 1.885807 eta: 8:04:40 batch_cost: 0.7968 data_cost: 0.0671 ips: 80.3258 images/s
[03/19 14:53:52] ppdet.engine INFO: Epoch: [225] [380/458] learning_rate: 0.046075 loss_vfl: 0.953762 loss_bbox: 0.430400 loss_dfl: 0.411273 loss: 1.809655 eta: 8:04:23 batch_cost: 0.8267 data_cost: 0.1120 ips: 77.4186 images/s
[03/19 14:54:14] ppdet.engine INFO: Epoch: [225] [400/458] learning_rate: 0.046024 loss_vfl: 0.989071 loss_bbox: 0.439835 loss_dfl: 0.411740 loss: 1.885317 eta: 8:04:06 batch_cost: 0.9428 data_cost: 0.1541 ips: 67.8838 images/s
[03/19 14:54:32] ppdet.engine INFO: Epoch: [225] [420/458] learning_rate: 0.045972 loss_vfl: 0.975631 loss_bbox: 0.438298 loss_dfl: 0.414780 loss: 1.810814 eta: 8:03:48 batch_cost: 0.7425 data_cost: 0.0346 ips: 86.1935 images/s
[03/19 14:54:52] ppdet.engine INFO: Epoch: [225] [440/458] learning_rate: 0.045921 loss_vfl: 1.046724 loss_bbox: 0.468952 loss_dfl: 0.432491 loss: 1.950495 eta: 8:03:32 batch_cost: 0.8890 data_cost: 0.1504 ips: 71.9910 images/s
[03/19 14:55:15] ppdet.engine INFO: Epoch: [226] [  0/458] learning_rate: 0.045874 loss_vfl: 1.004825 loss_bbox: 0.445736 loss_dfl: 0.428856 loss: 1.886417 eta: 8:03:18 batch_cost: 1.1030 data_cost: 0.4080 ips: 58.0222 images/s
[03/19 14:55:37] ppdet.engine INFO: Epoch: [226] [ 20/458] learning_rate: 0.045823 loss_vfl: 1.004305 loss_bbox: 0.454205 loss_dfl: 0.428267 loss: 1.874374 eta: 8:03:02 batch_cost: 1.0017 data_cost: 0.2458 ips: 63.8943 images/s
[03/19 14:55:56] ppdet.engine INFO: Epoch: [226] [ 40/458] learning_rate: 0.045772 loss_vfl: 0.995100 loss_bbox: 0.463230 loss_dfl: 0.427694 loss: 1.907004 eta: 8:02:44 batch_cost: 0.8486 data_cost: 0.1325 ips: 75.4162 images/s
[03/19 14:56:14] ppdet.engine INFO: Epoch: [226] [ 60/458] learning_rate: 0.045720 loss_vfl: 0.986564 loss_bbox: 0.425354 loss_dfl: 0.407858 loss: 1.824121 eta: 8:02:27 batch_cost: 0.8036 data_cost: 0.2263 ips: 79.6445 images/s
[03/19 14:56:33] ppdet.engine INFO: Epoch: [226] [ 80/458] learning_rate: 0.045669 loss_vfl: 1.043196 loss_bbox: 0.463104 loss_dfl: 0.433290 loss: 1.938815 eta: 8:02:10 batch_cost: 0.8315 data_cost: 0.2442 ips: 76.9682 images/s
[03/19 14:56:53] ppdet.engine INFO: Epoch: [226] [100/458] learning_rate: 0.045618 loss_vfl: 1.022634 loss_bbox: 0.471381 loss_dfl: 0.438910 loss: 1.927073 eta: 8:01:53 batch_cost: 0.8857 data_cost: 0.2564 ips: 72.2603 images/s
[03/19 14:57:12] ppdet.engine INFO: Epoch: [226] [120/458] learning_rate: 0.045566 loss_vfl: 1.041433 loss_bbox: 0.468374 loss_dfl: 0.441170 loss: 1.950866 eta: 8:01:36 batch_cost: 0.8574 data_cost: 0.1307 ips: 74.6428 images/s
[03/19 14:57:30] ppdet.engine INFO: Epoch: [226] [140/458] learning_rate: 0.045515 loss_vfl: 1.098429 loss_bbox: 0.482292 loss_dfl: 0.460409 loss: 2.028352 eta: 8:01:18 batch_cost: 0.7947 data_cost: 0.0801 ips: 80.5381 images/s
[03/19 14:57:49] ppdet.engine INFO: Epoch: [226] [160/458] learning_rate: 0.045464 loss_vfl: 0.984566 loss_bbox: 0.444475 loss_dfl: 0.420605 loss: 1.846030 eta: 8:01:01 batch_cost: 0.8411 data_cost: 0.0823 ips: 76.0906 images/s
[03/19 14:58:05] ppdet.engine INFO: Epoch: [226] [180/458] learning_rate: 0.045413 loss_vfl: 1.017332 loss_bbox: 0.452904 loss_dfl: 0.430629 loss: 1.918155 eta: 8:00:43 batch_cost: 0.6968 data_cost: 0.0003 ips: 91.8514 images/s
[03/19 14:58:20] ppdet.engine INFO: Epoch: [226] [200/458] learning_rate: 0.045362 loss_vfl: 0.962031 loss_bbox: 0.443849 loss_dfl: 0.408735 loss: 1.808117 eta: 8:00:25 batch_cost: 0.6919 data_cost: 0.0985 ips: 92.4977 images/s
[03/19 14:58:39] ppdet.engine INFO: Epoch: [226] [220/458] learning_rate: 0.045310 loss_vfl: 0.992191 loss_bbox: 0.446786 loss_dfl: 0.417682 loss: 1.871213 eta: 8:00:08 batch_cost: 0.8894 data_cost: 0.2574 ips: 71.9574 images/s
[03/19 14:59:00] ppdet.engine INFO: Epoch: [226] [240/458] learning_rate: 0.045259 loss_vfl: 1.014344 loss_bbox: 0.462572 loss_dfl: 0.440899 loss: 1.915909 eta: 7:59:51 batch_cost: 0.9452 data_cost: 0.3678 ips: 67.7074 images/s
[03/19 14:59:20] ppdet.engine INFO: Epoch: [226] [260/458] learning_rate: 0.045208 loss_vfl: 1.075199 loss_bbox: 0.501553 loss_dfl: 0.456193 loss: 2.035692 eta: 7:59:34 batch_cost: 0.8398 data_cost: 0.1671 ips: 76.2070 images/s
[03/19 14:59:37] ppdet.engine INFO: Epoch: [226] [280/458] learning_rate: 0.045157 loss_vfl: 1.010835 loss_bbox: 0.446199 loss_dfl: 0.423684 loss: 1.885800 eta: 7:59:16 batch_cost: 0.7067 data_cost: 0.0788 ips: 90.5662 images/s
[03/19 14:59:59] ppdet.engine INFO: Epoch: [226] [300/458] learning_rate: 0.045106 loss_vfl: 0.960689 loss_bbox: 0.454007 loss_dfl: 0.410197 loss: 1.844581 eta: 7:59:00 batch_cost: 1.0325 data_cost: 0.3091 ips: 61.9879 images/s
[03/19 15:00:21] ppdet.engine INFO: Epoch: [226] [320/458] learning_rate: 0.045055 loss_vfl: 0.997652 loss_bbox: 0.460005 loss_dfl: 0.426334 loss: 1.892236 eta: 7:58:44 batch_cost: 0.9855 data_cost: 0.4511 ips: 64.9432 images/s
[03/19 15:00:40] ppdet.engine INFO: Epoch: [226] [340/458] learning_rate: 0.045004 loss_vfl: 0.987954 loss_bbox: 0.446893 loss_dfl: 0.423505 loss: 1.860574 eta: 7:58:26 batch_cost: 0.8456 data_cost: 0.2300 ips: 75.6856 images/s
[03/19 15:00:58] ppdet.engine INFO: Epoch: [226] [360/458] learning_rate: 0.044953 loss_vfl: 1.034157 loss_bbox: 0.460770 loss_dfl: 0.434096 loss: 1.933886 eta: 7:58:09 batch_cost: 0.7939 data_cost: 0.2582 ips: 80.6134 images/s
[03/19 15:01:15] ppdet.engine INFO: Epoch: [226] [380/458] learning_rate: 0.044902 loss_vfl: 0.977593 loss_bbox: 0.426870 loss_dfl: 0.402401 loss: 1.810741 eta: 7:57:51 batch_cost: 0.7460 data_cost: 0.0580 ips: 85.7887 images/s
[03/19 15:01:37] ppdet.engine INFO: Epoch: [226] [400/458] learning_rate: 0.044851 loss_vfl: 1.005515 loss_bbox: 0.444154 loss_dfl: 0.418784 loss: 1.860058 eta: 7:57:35 batch_cost: 0.9734 data_cost: 0.1840 ips: 65.7463 images/s
[03/19 15:01:57] ppdet.engine INFO: Epoch: [226] [420/458] learning_rate: 0.044800 loss_vfl: 1.048594 loss_bbox: 0.461308 loss_dfl: 0.431879 loss: 1.956579 eta: 7:57:18 batch_cost: 0.9300 data_cost: 0.0045 ips: 68.8144 images/s
[03/19 15:02:16] ppdet.engine INFO: Epoch: [226] [440/458] learning_rate: 0.044750 loss_vfl: 1.021571 loss_bbox: 0.474283 loss_dfl: 0.427994 loss: 1.896265 eta: 7:57:01 batch_cost: 0.8106 data_cost: 0.1612 ips: 78.9581 images/s
[03/19 15:02:38] ppdet.engine INFO: Epoch: [227] [  0/458] learning_rate: 0.044704 loss_vfl: 1.029712 loss_bbox: 0.467469 loss_dfl: 0.438935 loss: 1.946769 eta: 7:56:47 batch_cost: 1.0367 data_cost: 0.2520 ips: 61.7350 images/s
[03/19 15:03:00] ppdet.engine INFO: Epoch: [227] [ 20/458] learning_rate: 0.044653 loss_vfl: 1.000972 loss_bbox: 0.445093 loss_dfl: 0.423242 loss: 1.872760 eta: 7:56:30 batch_cost: 0.8965 data_cost: 0.0562 ips: 71.3899 images/s
[03/19 15:03:21] ppdet.engine INFO: Epoch: [227] [ 40/458] learning_rate: 0.044602 loss_vfl: 0.954774 loss_bbox: 0.436134 loss_dfl: 0.405537 loss: 1.814955 eta: 7:56:13 batch_cost: 0.9285 data_cost: 0.0043 ips: 68.9280 images/s
[03/19 15:03:39] ppdet.engine INFO: Epoch: [227] [ 60/458] learning_rate: 0.044551 loss_vfl: 1.015444 loss_bbox: 0.473143 loss_dfl: 0.438415 loss: 1.927087 eta: 7:55:55 batch_cost: 0.7809 data_cost: 0.0620 ips: 81.9612 images/s
[03/19 15:04:01] ppdet.engine INFO: Epoch: [227] [ 80/458] learning_rate: 0.044501 loss_vfl: 0.974096 loss_bbox: 0.437530 loss_dfl: 0.419191 loss: 1.835956 eta: 7:55:39 batch_cost: 1.0026 data_cost: 0.0356 ips: 63.8353 images/s
[03/19 15:04:19] ppdet.engine INFO: Epoch: [227] [100/458] learning_rate: 0.044450 loss_vfl: 1.006179 loss_bbox: 0.452408 loss_dfl: 0.430263 loss: 1.927418 eta: 7:55:22 batch_cost: 0.8135 data_cost: 0.0024 ips: 78.6730 images/s
[03/19 15:04:37] ppdet.engine INFO: Epoch: [227] [120/458] learning_rate: 0.044399 loss_vfl: 0.999251 loss_bbox: 0.459795 loss_dfl: 0.426494 loss: 1.906478 eta: 7:55:04 batch_cost: 0.7399 data_cost: 0.0037 ips: 86.4925 images/s
[03/19 15:04:55] ppdet.engine INFO: Epoch: [227] [140/458] learning_rate: 0.044348 loss_vfl: 1.025846 loss_bbox: 0.462305 loss_dfl: 0.438943 loss: 1.926923 eta: 7:54:46 batch_cost: 0.7739 data_cost: 0.0181 ips: 82.6952 images/s
[03/19 15:05:11] ppdet.engine INFO: Epoch: [227] [160/458] learning_rate: 0.044298 loss_vfl: 1.030450 loss_bbox: 0.457625 loss_dfl: 0.442667 loss: 1.919100 eta: 7:54:28 batch_cost: 0.6818 data_cost: 0.1313 ips: 93.8703 images/s
[03/19 15:05:25] ppdet.engine INFO: Epoch: [227] [180/458] learning_rate: 0.044247 loss_vfl: 0.968206 loss_bbox: 0.446672 loss_dfl: 0.414958 loss: 1.864168 eta: 7:54:10 batch_cost: 0.6540 data_cost: 0.1668 ips: 97.8597 images/s
[03/19 15:05:45] ppdet.engine INFO: Epoch: [227] [200/458] learning_rate: 0.044197 loss_vfl: 0.980386 loss_bbox: 0.433195 loss_dfl: 0.416278 loss: 1.839108 eta: 7:53:53 batch_cost: 0.8937 data_cost: 0.3242 ips: 71.6120 images/s
[03/19 15:06:04] ppdet.engine INFO: Epoch: [227] [220/458] learning_rate: 0.044146 loss_vfl: 1.039517 loss_bbox: 0.470372 loss_dfl: 0.433932 loss: 1.975687 eta: 7:53:35 batch_cost: 0.7943 data_cost: 0.1836 ips: 80.5765 images/s
[03/19 15:06:23] ppdet.engine INFO: Epoch: [227] [240/458] learning_rate: 0.044095 loss_vfl: 1.024963 loss_bbox: 0.467867 loss_dfl: 0.441245 loss: 1.935809 eta: 7:53:18 batch_cost: 0.8621 data_cost: 0.2559 ips: 74.2392 images/s
[03/19 15:06:44] ppdet.engine INFO: Epoch: [227] [260/458] learning_rate: 0.044045 loss_vfl: 0.984630 loss_bbox: 0.447576 loss_dfl: 0.417484 loss: 1.853183 eta: 7:53:02 batch_cost: 0.9463 data_cost: 0.3091 ips: 67.6332 images/s
[03/19 15:07:01] ppdet.engine INFO: Epoch: [227] [280/458] learning_rate: 0.043994 loss_vfl: 0.953375 loss_bbox: 0.421571 loss_dfl: 0.393768 loss: 1.757997 eta: 7:52:44 batch_cost: 0.6674 data_cost: 0.1188 ips: 95.8924 images/s
[03/19 15:07:21] ppdet.engine INFO: Epoch: [227] [300/458] learning_rate: 0.043944 loss_vfl: 1.049001 loss_bbox: 0.478241 loss_dfl: 0.447559 loss: 1.989490 eta: 7:52:26 batch_cost: 0.8581 data_cost: 0.3009 ips: 74.5820 images/s
[03/19 15:07:41] ppdet.engine INFO: Epoch: [227] [320/458] learning_rate: 0.043893 loss_vfl: 1.007392 loss_bbox: 0.446535 loss_dfl: 0.438102 loss: 1.923512 eta: 7:52:09 batch_cost: 0.8855 data_cost: 0.4004 ips: 72.2765 images/s
[03/19 15:08:01] ppdet.engine INFO: Epoch: [227] [340/458] learning_rate: 0.043843 loss_vfl: 0.975157 loss_bbox: 0.445207 loss_dfl: 0.408351 loss: 1.841789 eta: 7:51:53 batch_cost: 0.9134 data_cost: 0.4030 ips: 70.0682 images/s
[03/19 15:08:20] ppdet.engine INFO: Epoch: [227] [360/458] learning_rate: 0.043793 loss_vfl: 1.043715 loss_bbox: 0.467944 loss_dfl: 0.436830 loss: 1.934594 eta: 7:51:35 batch_cost: 0.7777 data_cost: 0.1802 ips: 82.2943 images/s
[03/19 15:08:41] ppdet.engine INFO: Epoch: [227] [380/458] learning_rate: 0.043742 loss_vfl: 1.026345 loss_bbox: 0.433878 loss_dfl: 0.416313 loss: 1.865784 eta: 7:51:18 batch_cost: 0.9221 data_cost: 0.3558 ips: 69.4091 images/s
[03/19 15:09:00] ppdet.engine INFO: Epoch: [227] [400/458] learning_rate: 0.043692 loss_vfl: 0.988465 loss_bbox: 0.444956 loss_dfl: 0.420298 loss: 1.864677 eta: 7:51:01 batch_cost: 0.8277 data_cost: 0.1559 ips: 77.3226 images/s
[03/19 15:09:20] ppdet.engine INFO: Epoch: [227] [420/458] learning_rate: 0.043641 loss_vfl: 1.009803 loss_bbox: 0.457245 loss_dfl: 0.428762 loss: 1.905946 eta: 7:50:44 batch_cost: 0.9095 data_cost: 0.3569 ips: 70.3703 images/s
[03/19 15:09:38] ppdet.engine INFO: Epoch: [227] [440/458] learning_rate: 0.043591 loss_vfl: 1.010770 loss_bbox: 0.458822 loss_dfl: 0.431698 loss: 1.929892 eta: 7:50:27 batch_cost: 0.7693 data_cost: 0.1678 ips: 83.1946 images/s
[03/19 15:10:02] ppdet.engine INFO: Epoch: [228] [  0/458] learning_rate: 0.043546 loss_vfl: 0.990320 loss_bbox: 0.428551 loss_dfl: 0.411847 loss: 1.822135 eta: 7:50:13 batch_cost: 1.0346 data_cost: 0.4933 ips: 61.8603 images/s
[03/19 15:10:23] ppdet.engine INFO: Epoch: [228] [ 20/458] learning_rate: 0.043496 loss_vfl: 0.962448 loss_bbox: 0.432575 loss_dfl: 0.408915 loss: 1.806212 eta: 7:49:56 batch_cost: 0.9470 data_cost: 0.0044 ips: 67.5800 images/s
[03/19 15:10:43] ppdet.engine INFO: Epoch: [228] [ 40/458] learning_rate: 0.043445 loss_vfl: 1.022696 loss_bbox: 0.459932 loss_dfl: 0.429968 loss: 1.928003 eta: 7:49:40 batch_cost: 0.9576 data_cost: 0.0003 ips: 66.8322 images/s
[03/19 15:11:01] ppdet.engine INFO: Epoch: [228] [ 60/458] learning_rate: 0.043395 loss_vfl: 1.021196 loss_bbox: 0.465077 loss_dfl: 0.434335 loss: 1.906100 eta: 7:49:22 batch_cost: 0.8039 data_cost: 0.0034 ips: 79.6078 images/s
[03/19 15:11:22] ppdet.engine INFO: Epoch: [228] [ 80/458] learning_rate: 0.043345 loss_vfl: 1.008606 loss_bbox: 0.431955 loss_dfl: 0.417891 loss: 1.867035 eta: 7:49:06 batch_cost: 0.9234 data_cost: 0.0015 ips: 69.3091 images/s
[03/19 15:11:42] ppdet.engine INFO: Epoch: [228] [100/458] learning_rate: 0.043295 loss_vfl: 1.041057 loss_bbox: 0.483087 loss_dfl: 0.446318 loss: 1.949001 eta: 7:48:49 batch_cost: 0.8835 data_cost: 0.0031 ips: 72.4385 images/s
[03/19 15:12:00] ppdet.engine INFO: Epoch: [228] [120/458] learning_rate: 0.043245 loss_vfl: 0.996239 loss_bbox: 0.459620 loss_dfl: 0.431195 loss: 1.895015 eta: 7:48:32 batch_cost: 0.8408 data_cost: 0.0042 ips: 76.1205 images/s
[03/19 15:12:16] ppdet.engine INFO: Epoch: [228] [140/458] learning_rate: 0.043194 loss_vfl: 1.026454 loss_bbox: 0.462426 loss_dfl: 0.440894 loss: 1.922327 eta: 7:48:14 batch_cost: 0.7230 data_cost: 0.0034 ips: 88.5215 images/s
[03/19 15:12:33] ppdet.engine INFO: Epoch: [228] [160/458] learning_rate: 0.043144 loss_vfl: 0.990893 loss_bbox: 0.447446 loss_dfl: 0.430153 loss: 1.866773 eta: 7:47:56 batch_cost: 0.7757 data_cost: 0.0069 ips: 82.5096 images/s
[03/19 15:12:52] ppdet.engine INFO: Epoch: [228] [180/458] learning_rate: 0.043094 loss_vfl: 0.951796 loss_bbox: 0.435724 loss_dfl: 0.405045 loss: 1.804734 eta: 7:47:39 batch_cost: 0.8438 data_cost: 0.0037 ips: 75.8494 images/s
[03/19 15:13:13] ppdet.engine INFO: Epoch: [228] [200/458] learning_rate: 0.043044 loss_vfl: 1.048253 loss_bbox: 0.463153 loss_dfl: 0.437338 loss: 1.931220 eta: 7:47:22 batch_cost: 0.9513 data_cost: 0.0029 ips: 67.2758 images/s
[03/19 15:13:32] ppdet.engine INFO: Epoch: [228] [220/458] learning_rate: 0.042994 loss_vfl: 1.023998 loss_bbox: 0.447780 loss_dfl: 0.422497 loss: 1.909102 eta: 7:47:05 batch_cost: 0.8732 data_cost: 0.0036 ips: 73.2974 images/s
[03/19 15:13:54] ppdet.engine INFO: Epoch: [228] [240/458] learning_rate: 0.042944 loss_vfl: 1.018690 loss_bbox: 0.467606 loss_dfl: 0.421385 loss: 1.872984 eta: 7:46:49 batch_cost: 0.9843 data_cost: 0.0050 ips: 65.0230 images/s
[03/19 15:14:12] ppdet.engine INFO: Epoch: [228] [260/458] learning_rate: 0.042894 loss_vfl: 1.006094 loss_bbox: 0.462818 loss_dfl: 0.428087 loss: 1.882112 eta: 7:46:32 batch_cost: 0.8397 data_cost: 0.0024 ips: 76.2141 images/s
[03/19 15:14:34] ppdet.engine INFO: Epoch: [228] [280/458] learning_rate: 0.042844 loss_vfl: 0.990898 loss_bbox: 0.436274 loss_dfl: 0.414092 loss: 1.848090 eta: 7:46:15 batch_cost: 0.9611 data_cost: 0.0022 ips: 66.5894 images/s
[03/19 15:14:54] ppdet.engine INFO: Epoch: [228] [300/458] learning_rate: 0.042794 loss_vfl: 1.042974 loss_bbox: 0.471994 loss_dfl: 0.438284 loss: 1.950680 eta: 7:45:59 batch_cost: 0.9126 data_cost: 0.0037 ips: 70.1294 images/s
[03/19 15:15:17] ppdet.engine INFO: Epoch: [228] [320/458] learning_rate: 0.042744 loss_vfl: 1.031356 loss_bbox: 0.442856 loss_dfl: 0.425665 loss: 1.917261 eta: 7:45:42 batch_cost: 1.0180 data_cost: 0.0022 ips: 62.8660 images/s
[03/19 15:15:37] ppdet.engine INFO: Epoch: [228] [340/458] learning_rate: 0.042695 loss_vfl: 1.024053 loss_bbox: 0.471952 loss_dfl: 0.435511 loss: 1.892500 eta: 7:45:26 batch_cost: 0.9230 data_cost: 0.0016 ips: 69.3421 images/s
[03/19 15:15:53] ppdet.engine INFO: Epoch: [228] [360/458] learning_rate: 0.042645 loss_vfl: 1.037321 loss_bbox: 0.460777 loss_dfl: 0.433721 loss: 1.939951 eta: 7:45:08 batch_cost: 0.7386 data_cost: 0.0097 ips: 86.6460 images/s
[03/19 15:16:14] ppdet.engine INFO: Epoch: [228] [380/458] learning_rate: 0.042595 loss_vfl: 1.010508 loss_bbox: 0.437587 loss_dfl: 0.418723 loss: 1.862862 eta: 7:44:51 batch_cost: 0.9203 data_cost: 0.0009 ips: 69.5422 images/s
[03/19 15:16:35] ppdet.engine INFO: Epoch: [228] [400/458] learning_rate: 0.042545 loss_vfl: 1.015902 loss_bbox: 0.458994 loss_dfl: 0.423879 loss: 1.906729 eta: 7:44:35 batch_cost: 0.9226 data_cost: 0.0052 ips: 69.3689 images/s
[03/19 15:16:57] ppdet.engine INFO: Epoch: [228] [420/458] learning_rate: 0.042495 loss_vfl: 1.005215 loss_bbox: 0.445840 loss_dfl: 0.427514 loss: 1.886394 eta: 7:44:18 batch_cost: 1.0143 data_cost: 0.0045 ips: 63.0998 images/s
[03/19 15:17:19] ppdet.engine INFO: Epoch: [228] [440/458] learning_rate: 0.042446 loss_vfl: 0.994589 loss_bbox: 0.431497 loss_dfl: 0.418842 loss: 1.833028 eta: 7:44:02 batch_cost: 1.0155 data_cost: 0.0020 ips: 63.0223 images/s
[03/19 15:17:38] ppdet.engine INFO: Epoch: [229] [  0/458] learning_rate: 0.042401 loss_vfl: 1.025430 loss_bbox: 0.464408 loss_dfl: 0.430463 loss: 1.908966 eta: 7:43:47 batch_cost: 1.0173 data_cost: 0.2864 ips: 62.9119 images/s
[03/19 15:18:00] ppdet.engine INFO: Epoch: [229] [ 20/458] learning_rate: 0.042351 loss_vfl: 1.033812 loss_bbox: 0.449589 loss_dfl: 0.421035 loss: 1.915240 eta: 7:43:31 batch_cost: 0.9717 data_cost: 0.2119 ips: 65.8655 images/s
[03/19 15:18:19] ppdet.engine INFO: Epoch: [229] [ 40/458] learning_rate: 0.042301 loss_vfl: 1.001321 loss_bbox: 0.471115 loss_dfl: 0.426444 loss: 1.904013 eta: 7:43:14 batch_cost: 0.8495 data_cost: 0.0062 ips: 75.3367 images/s
[03/19 15:18:35] ppdet.engine INFO: Epoch: [229] [ 60/458] learning_rate: 0.042252 loss_vfl: 0.982284 loss_bbox: 0.466429 loss_dfl: 0.424359 loss: 1.861635 eta: 7:42:55 batch_cost: 0.6834 data_cost: 0.0768 ips: 93.6481 images/s
[03/19 15:18:54] ppdet.engine INFO: Epoch: [229] [ 80/458] learning_rate: 0.042202 loss_vfl: 1.015565 loss_bbox: 0.461509 loss_dfl: 0.436045 loss: 1.912137 eta: 7:42:38 batch_cost: 0.8394 data_cost: 0.1354 ips: 76.2411 images/s
[03/19 15:19:08] ppdet.engine INFO: Epoch: [229] [100/458] learning_rate: 0.042153 loss_vfl: 1.008163 loss_bbox: 0.449687 loss_dfl: 0.420451 loss: 1.872894 eta: 7:42:20 batch_cost: 0.6201 data_cost: 0.0053 ips: 103.2137 images/s
[03/19 15:19:25] ppdet.engine INFO: Epoch: [229] [120/458] learning_rate: 0.042103 loss_vfl: 0.999850 loss_bbox: 0.433545 loss_dfl: 0.414528 loss: 1.853582 eta: 7:42:02 batch_cost: 0.7281 data_cost: 0.0597 ips: 87.9032 images/s
[03/19 15:19:42] ppdet.engine INFO: Epoch: [229] [140/458] learning_rate: 0.042053 loss_vfl: 0.947560 loss_bbox: 0.449589 loss_dfl: 0.414712 loss: 1.810804 eta: 7:41:43 batch_cost: 0.6792 data_cost: 0.0036 ips: 94.2302 images/s
[03/19 15:20:05] ppdet.engine INFO: Epoch: [229] [160/458] learning_rate: 0.042004 loss_vfl: 1.001664 loss_bbox: 0.449284 loss_dfl: 0.421917 loss: 1.878880 eta: 7:41:28 batch_cost: 1.0481 data_cost: 0.0026 ips: 61.0654 images/s
[03/19 15:20:24] ppdet.engine INFO: Epoch: [229] [180/458] learning_rate: 0.041954 loss_vfl: 0.962894 loss_bbox: 0.438511 loss_dfl: 0.409589 loss: 1.811536 eta: 7:41:10 batch_cost: 0.8172 data_cost: 0.0404 ips: 78.3135 images/s
[03/19 15:20:45] ppdet.engine INFO: Epoch: [229] [200/458] learning_rate: 0.041905 loss_vfl: 1.016566 loss_bbox: 0.465929 loss_dfl: 0.437163 loss: 1.913885 eta: 7:40:54 batch_cost: 0.9495 data_cost: 0.0030 ips: 67.4028 images/s
[03/19 15:21:06] ppdet.engine INFO: Epoch: [229] [220/458] learning_rate: 0.041855 loss_vfl: 0.988822 loss_bbox: 0.451094 loss_dfl: 0.424526 loss: 1.852035 eta: 7:40:36 batch_cost: 0.8429 data_cost: 0.0027 ips: 75.9246 images/s
[03/19 15:21:25] ppdet.engine INFO: Epoch: [229] [240/458] learning_rate: 0.041806 loss_vfl: 1.004298 loss_bbox: 0.493643 loss_dfl: 0.442921 loss: 1.939089 eta: 7:40:19 batch_cost: 0.8296 data_cost: 0.0059 ips: 77.1444 images/s
[03/19 15:21:45] ppdet.engine INFO: Epoch: [229] [260/458] learning_rate: 0.041757 loss_vfl: 0.987427 loss_bbox: 0.450391 loss_dfl: 0.422762 loss: 1.872851 eta: 7:40:02 batch_cost: 0.8822 data_cost: 0.0112 ips: 72.5426 images/s
[03/19 15:22:04] ppdet.engine INFO: Epoch: [229] [280/458] learning_rate: 0.041707 loss_vfl: 0.985620 loss_bbox: 0.456096 loss_dfl: 0.419656 loss: 1.854987 eta: 7:39:45 batch_cost: 0.7742 data_cost: 0.0056 ips: 82.6628 images/s
[03/19 15:22:22] ppdet.engine INFO: Epoch: [229] [300/458] learning_rate: 0.041658 loss_vfl: 1.036354 loss_bbox: 0.476170 loss_dfl: 0.432657 loss: 1.931391 eta: 7:39:27 batch_cost: 0.7630 data_cost: 0.0553 ips: 83.8809 images/s
[03/19 15:22:44] ppdet.engine INFO: Epoch: [229] [320/458] learning_rate: 0.041608 loss_vfl: 1.028274 loss_bbox: 0.478087 loss_dfl: 0.435081 loss: 1.919616 eta: 7:39:11 batch_cost: 0.9823 data_cost: 0.2764 ips: 65.1532 images/s
[03/19 15:23:06] ppdet.engine INFO: Epoch: [229] [340/458] learning_rate: 0.041559 loss_vfl: 1.007711 loss_bbox: 0.454059 loss_dfl: 0.425346 loss: 1.867536 eta: 7:38:54 batch_cost: 0.9831 data_cost: 0.1907 ips: 65.1027 images/s
[03/19 15:23:23] ppdet.engine INFO: Epoch: [229] [360/458] learning_rate: 0.041510 loss_vfl: 1.013202 loss_bbox: 0.439513 loss_dfl: 0.424858 loss: 1.868001 eta: 7:38:36 batch_cost: 0.6562 data_cost: 0.1179 ips: 97.5331 images/s
[03/19 15:23:44] ppdet.engine INFO: Epoch: [229] [380/458] learning_rate: 0.041461 loss_vfl: 1.016629 loss_bbox: 0.461287 loss_dfl: 0.425138 loss: 1.887964 eta: 7:38:19 batch_cost: 0.9407 data_cost: 0.4215 ips: 68.0339 images/s
[03/19 15:24:04] ppdet.engine INFO: Epoch: [229] [400/458] learning_rate: 0.041411 loss_vfl: 1.064917 loss_bbox: 0.486240 loss_dfl: 0.451407 loss: 2.018773 eta: 7:38:02 batch_cost: 0.8178 data_cost: 0.2894 ips: 78.2567 images/s
[03/19 15:24:24] ppdet.engine INFO: Epoch: [229] [420/458] learning_rate: 0.041362 loss_vfl: 1.002012 loss_bbox: 0.445724 loss_dfl: 0.416129 loss: 1.837964 eta: 7:37:45 batch_cost: 0.9335 data_cost: 0.3884 ips: 68.5566 images/s
[03/19 15:24:44] ppdet.engine INFO: Epoch: [229] [440/458] learning_rate: 0.041313 loss_vfl: 0.978159 loss_bbox: 0.448835 loss_dfl: 0.425847 loss: 1.873936 eta: 7:37:28 batch_cost: 0.8508 data_cost: 0.2849 ips: 75.2252 images/s
[03/19 15:24:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 15:24:58] ppdet.engine INFO: Eval iter: 0
[03/19 15:25:18] ppdet.engine INFO: Eval iter: 100
[03/19 15:25:27] ppdet.engine INFO: Eval iter: 200
[03/19 15:25:36] ppdet.engine INFO: Eval iter: 300
[03/19 15:25:44] ppdet.engine INFO: Eval iter: 400
[03/19 15:25:53] ppdet.engine INFO: Eval iter: 500
[03/19 15:26:01] ppdet.engine INFO: Eval iter: 600
[03/19 15:26:14] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.58s)
creating index...
index created!
[03/19 15:26:15] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.69s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.24s).
Accumulating evaluation results...
DONE (t=15.89s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.229
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.351
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.237
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.062
 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 ] = 0.403
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.232
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.374
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.397
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.116
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.435
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.668
[03/19 15:27:55] ppdet.engine INFO: Total sample number: 4952, averge FPS: 76.02021966754775
[03/19 15:27:55] ppdet.engine INFO: Best test bbox ap is 0.229.
[03/19 15:27:55] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 15:27:55] ppdet.engine INFO: Epoch: [230] [  0/458] learning_rate: 0.041269 loss_vfl: 0.998928 loss_bbox: 0.462350 loss_dfl: 0.427819 loss: 1.899624 eta: 7:37:11 batch_cost: 0.6189 data_cost: 0.1578 ips: 103.4035 images/s
[03/19 15:28:11] ppdet.engine INFO: Epoch: [230] [ 20/458] learning_rate: 0.041220 loss_vfl: 0.976919 loss_bbox: 0.464896 loss_dfl: 0.411054 loss: 1.841185 eta: 7:36:53 batch_cost: 0.6239 data_cost: 0.0369 ips: 102.5752 images/s
[03/19 15:28:32] ppdet.engine INFO: Epoch: [230] [ 40/458] learning_rate: 0.041170 loss_vfl: 1.020238 loss_bbox: 0.445917 loss_dfl: 0.433263 loss: 1.878160 eta: 7:36:36 batch_cost: 0.8624 data_cost: 0.0323 ips: 74.2078 images/s
[03/19 15:28:52] ppdet.engine INFO: Epoch: [230] [ 60/458] learning_rate: 0.041121 loss_vfl: 1.027375 loss_bbox: 0.473811 loss_dfl: 0.438299 loss: 1.947166 eta: 7:36:18 batch_cost: 0.8177 data_cost: 0.0245 ips: 78.2640 images/s
[03/19 15:29:09] ppdet.engine INFO: Epoch: [230] [ 80/458] learning_rate: 0.041072 loss_vfl: 1.011961 loss_bbox: 0.466654 loss_dfl: 0.430318 loss: 1.900475 eta: 7:36:01 batch_cost: 0.7573 data_cost: 0.0506 ips: 84.5135 images/s
[03/19 15:29:31] ppdet.engine INFO: Epoch: [230] [100/458] learning_rate: 0.041023 loss_vfl: 0.974668 loss_bbox: 0.425168 loss_dfl: 0.400606 loss: 1.816233 eta: 7:35:44 batch_cost: 0.9627 data_cost: 0.0296 ips: 66.4790 images/s
[03/19 15:29:52] ppdet.engine INFO: Epoch: [230] [120/458] learning_rate: 0.040974 loss_vfl: 0.967055 loss_bbox: 0.450090 loss_dfl: 0.420321 loss: 1.831816 eta: 7:35:28 batch_cost: 0.9225 data_cost: 0.1450 ips: 69.3756 images/s
[03/19 15:30:10] ppdet.engine INFO: Epoch: [230] [140/458] learning_rate: 0.040925 loss_vfl: 1.032514 loss_bbox: 0.454367 loss_dfl: 0.430421 loss: 1.916899 eta: 7:35:10 batch_cost: 0.7733 data_cost: 0.0017 ips: 82.7584 images/s
[03/19 15:30:29] ppdet.engine INFO: Epoch: [230] [160/458] learning_rate: 0.040876 loss_vfl: 1.042653 loss_bbox: 0.479069 loss_dfl: 0.439954 loss: 1.971052 eta: 7:34:52 batch_cost: 0.7687 data_cost: 0.0019 ips: 83.2612 images/s
[03/19 15:30:48] ppdet.engine INFO: Epoch: [230] [180/458] learning_rate: 0.040827 loss_vfl: 1.021374 loss_bbox: 0.474478 loss_dfl: 0.440286 loss: 1.936264 eta: 7:34:35 batch_cost: 0.7910 data_cost: 0.0599 ips: 80.9071 images/s
[03/19 15:31:07] ppdet.engine INFO: Epoch: [230] [200/458] learning_rate: 0.040778 loss_vfl: 1.007084 loss_bbox: 0.436617 loss_dfl: 0.414780 loss: 1.839922 eta: 7:34:18 batch_cost: 0.8484 data_cost: 0.1424 ips: 75.4338 images/s
[03/19 15:31:29] ppdet.engine INFO: Epoch: [230] [220/458] learning_rate: 0.040730 loss_vfl: 1.012630 loss_bbox: 0.469452 loss_dfl: 0.442597 loss: 1.927583 eta: 7:34:01 batch_cost: 0.8931 data_cost: 0.3741 ips: 71.6631 images/s
[03/19 15:31:48] ppdet.engine INFO: Epoch: [230] [240/458] learning_rate: 0.040681 loss_vfl: 0.991997 loss_bbox: 0.459957 loss_dfl: 0.432749 loss: 1.883325 eta: 7:33:44 batch_cost: 0.8635 data_cost: 0.3011 ips: 74.1149 images/s
[03/19 15:32:08] ppdet.engine INFO: Epoch: [230] [260/458] learning_rate: 0.040632 loss_vfl: 1.021687 loss_bbox: 0.466018 loss_dfl: 0.442015 loss: 1.946809 eta: 7:33:27 batch_cost: 0.8947 data_cost: 0.1982 ips: 71.5312 images/s
[03/19 15:32:29] ppdet.engine INFO: Epoch: [230] [280/458] learning_rate: 0.040583 loss_vfl: 1.004188 loss_bbox: 0.445631 loss_dfl: 0.422317 loss: 1.876175 eta: 7:33:10 batch_cost: 0.8945 data_cost: 0.2222 ips: 71.5473 images/s
[03/19 15:32:48] ppdet.engine INFO: Epoch: [230] [300/458] learning_rate: 0.040534 loss_vfl: 0.992668 loss_bbox: 0.437608 loss_dfl: 0.410353 loss: 1.836725 eta: 7:32:53 batch_cost: 0.8509 data_cost: 0.3244 ips: 75.2105 images/s
[03/19 15:33:04] ppdet.engine INFO: Epoch: [230] [320/458] learning_rate: 0.040485 loss_vfl: 1.010319 loss_bbox: 0.445531 loss_dfl: 0.423566 loss: 1.888160 eta: 7:32:35 batch_cost: 0.7330 data_cost: 0.2691 ips: 87.3167 images/s
[03/19 15:33:20] ppdet.engine INFO: Epoch: [230] [340/458] learning_rate: 0.040437 loss_vfl: 1.013383 loss_bbox: 0.470965 loss_dfl: 0.433830 loss: 1.914927 eta: 7:32:17 batch_cost: 0.7268 data_cost: 0.2505 ips: 88.0626 images/s
[03/19 15:33:37] ppdet.engine INFO: Epoch: [230] [360/458] learning_rate: 0.040388 loss_vfl: 1.037974 loss_bbox: 0.447730 loss_dfl: 0.434550 loss: 1.930084 eta: 7:31:59 batch_cost: 0.7457 data_cost: 0.2563 ips: 85.8215 images/s
[03/19 15:33:57] ppdet.engine INFO: Epoch: [230] [380/458] learning_rate: 0.040339 loss_vfl: 0.988200 loss_bbox: 0.433000 loss_dfl: 0.415120 loss: 1.850647 eta: 7:31:42 batch_cost: 0.8446 data_cost: 0.2420 ips: 75.7721 images/s
[03/19 15:34:16] ppdet.engine INFO: Epoch: [230] [400/458] learning_rate: 0.040291 loss_vfl: 0.984988 loss_bbox: 0.454119 loss_dfl: 0.427241 loss: 1.876404 eta: 7:31:25 batch_cost: 0.8307 data_cost: 0.2970 ips: 77.0444 images/s
[03/19 15:34:37] ppdet.engine INFO: Epoch: [230] [420/458] learning_rate: 0.040242 loss_vfl: 1.070653 loss_bbox: 0.484212 loss_dfl: 0.450436 loss: 1.982974 eta: 7:31:08 batch_cost: 0.8980 data_cost: 0.2939 ips: 71.2716 images/s
[03/19 15:34:57] ppdet.engine INFO: Epoch: [230] [440/458] learning_rate: 0.040193 loss_vfl: 0.973033 loss_bbox: 0.440436 loss_dfl: 0.419001 loss: 1.844962 eta: 7:30:51 batch_cost: 0.8799 data_cost: 0.2583 ips: 72.7336 images/s
[03/19 15:35:17] ppdet.engine INFO: Epoch: [231] [  0/458] learning_rate: 0.040150 loss_vfl: 0.997307 loss_bbox: 0.436561 loss_dfl: 0.412516 loss: 1.833385 eta: 7:30:36 batch_cost: 0.9083 data_cost: 0.3969 ips: 70.4598 images/s
[03/19 15:35:39] ppdet.engine INFO: Epoch: [231] [ 20/458] learning_rate: 0.040101 loss_vfl: 1.010759 loss_bbox: 0.465035 loss_dfl: 0.426462 loss: 1.891965 eta: 7:30:20 batch_cost: 0.9731 data_cost: 0.1183 ips: 65.7726 images/s
[03/19 15:36:01] ppdet.engine INFO: Epoch: [231] [ 40/458] learning_rate: 0.040053 loss_vfl: 1.035356 loss_bbox: 0.465634 loss_dfl: 0.434285 loss: 1.920700 eta: 7:30:04 batch_cost: 1.0196 data_cost: 0.1574 ips: 62.7669 images/s
[03/19 15:36:22] ppdet.engine INFO: Epoch: [231] [ 60/458] learning_rate: 0.040004 loss_vfl: 1.048447 loss_bbox: 0.462872 loss_dfl: 0.436718 loss: 1.943350 eta: 7:29:47 batch_cost: 0.9708 data_cost: 0.4363 ips: 65.9280 images/s
[03/19 15:36:41] ppdet.engine INFO: Epoch: [231] [ 80/458] learning_rate: 0.039956 loss_vfl: 1.066963 loss_bbox: 0.495369 loss_dfl: 0.452899 loss: 2.020178 eta: 7:29:30 batch_cost: 0.8488 data_cost: 0.3034 ips: 75.4044 images/s
[03/19 15:37:04] ppdet.engine INFO: Epoch: [231] [100/458] learning_rate: 0.039907 loss_vfl: 1.073082 loss_bbox: 0.469510 loss_dfl: 0.440047 loss: 1.966004 eta: 7:29:14 batch_cost: 1.0216 data_cost: 0.4616 ips: 62.6438 images/s
[03/19 15:37:24] ppdet.engine INFO: Epoch: [231] [120/458] learning_rate: 0.039859 loss_vfl: 1.048347 loss_bbox: 0.473875 loss_dfl: 0.449744 loss: 1.983868 eta: 7:28:57 batch_cost: 0.9394 data_cost: 0.3950 ips: 68.1320 images/s
[03/19 15:37:41] ppdet.engine INFO: Epoch: [231] [140/458] learning_rate: 0.039810 loss_vfl: 1.000562 loss_bbox: 0.429822 loss_dfl: 0.409659 loss: 1.830451 eta: 7:28:40 batch_cost: 0.7458 data_cost: 0.0653 ips: 85.8169 images/s
[03/19 15:38:03] ppdet.engine INFO: Epoch: [231] [160/458] learning_rate: 0.039762 loss_vfl: 1.017893 loss_bbox: 0.470264 loss_dfl: 0.437157 loss: 1.920778 eta: 7:28:23 batch_cost: 0.9870 data_cost: 0.3670 ips: 64.8415 images/s
[03/19 15:38:25] ppdet.engine INFO: Epoch: [231] [180/458] learning_rate: 0.039713 loss_vfl: 1.020623 loss_bbox: 0.447006 loss_dfl: 0.424406 loss: 1.892616 eta: 7:28:07 batch_cost: 1.0387 data_cost: 0.0523 ips: 61.6168 images/s
[03/19 15:38:45] ppdet.engine INFO: Epoch: [231] [200/458] learning_rate: 0.039665 loss_vfl: 0.978707 loss_bbox: 0.427909 loss_dfl: 0.411460 loss: 1.816310 eta: 7:27:50 batch_cost: 0.8664 data_cost: 0.0029 ips: 73.8723 images/s
[03/19 15:39:05] ppdet.engine INFO: Epoch: [231] [220/458] learning_rate: 0.039617 loss_vfl: 1.008888 loss_bbox: 0.426235 loss_dfl: 0.425260 loss: 1.864014 eta: 7:27:33 batch_cost: 0.9245 data_cost: 0.2023 ips: 69.2297 images/s
[03/19 15:39:25] ppdet.engine INFO: Epoch: [231] [240/458] learning_rate: 0.039569 loss_vfl: 1.026792 loss_bbox: 0.474966 loss_dfl: 0.435108 loss: 1.939138 eta: 7:27:16 batch_cost: 0.8758 data_cost: 0.1674 ips: 73.0772 images/s
[03/19 15:39:45] ppdet.engine INFO: Epoch: [231] [260/458] learning_rate: 0.039520 loss_vfl: 1.003420 loss_bbox: 0.453423 loss_dfl: 0.431447 loss: 1.911869 eta: 7:27:00 batch_cost: 0.9120 data_cost: 0.4290 ips: 70.1728 images/s
[03/19 15:40:02] ppdet.engine INFO: Epoch: [231] [280/458] learning_rate: 0.039472 loss_vfl: 0.964520 loss_bbox: 0.440566 loss_dfl: 0.410159 loss: 1.800220 eta: 7:26:42 batch_cost: 0.7807 data_cost: 0.1536 ips: 81.9727 images/s
[03/19 15:40:16] ppdet.engine INFO: Epoch: [231] [300/458] learning_rate: 0.039424 loss_vfl: 1.010373 loss_bbox: 0.457388 loss_dfl: 0.423660 loss: 1.898408 eta: 7:26:24 batch_cost: 0.6520 data_cost: 0.2083 ips: 98.1566 images/s
[03/19 15:40:36] ppdet.engine INFO: Epoch: [231] [320/458] learning_rate: 0.039376 loss_vfl: 1.009471 loss_bbox: 0.457755 loss_dfl: 0.426626 loss: 1.883599 eta: 7:26:07 batch_cost: 0.8838 data_cost: 0.3439 ips: 72.4120 images/s
[03/19 15:40:56] ppdet.engine INFO: Epoch: [231] [340/458] learning_rate: 0.039327 loss_vfl: 0.977625 loss_bbox: 0.448807 loss_dfl: 0.419064 loss: 1.837539 eta: 7:25:50 batch_cost: 0.8952 data_cost: 0.2547 ips: 71.4953 images/s
[03/19 15:41:17] ppdet.engine INFO: Epoch: [231] [360/458] learning_rate: 0.039279 loss_vfl: 0.969126 loss_bbox: 0.444260 loss_dfl: 0.418297 loss: 1.839220 eta: 7:25:33 batch_cost: 0.9181 data_cost: 0.2125 ips: 69.7095 images/s
[03/19 15:41:35] ppdet.engine INFO: Epoch: [231] [380/458] learning_rate: 0.039231 loss_vfl: 0.978051 loss_bbox: 0.436318 loss_dfl: 0.428001 loss: 1.841792 eta: 7:25:16 batch_cost: 0.8478 data_cost: 0.0723 ips: 75.4892 images/s
[03/19 15:41:57] ppdet.engine INFO: Epoch: [231] [400/458] learning_rate: 0.039183 loss_vfl: 0.980082 loss_bbox: 0.450471 loss_dfl: 0.425141 loss: 1.846358 eta: 7:25:00 batch_cost: 1.0038 data_cost: 0.2352 ips: 63.7593 images/s
[03/19 15:42:16] ppdet.engine INFO: Epoch: [231] [420/458] learning_rate: 0.039135 loss_vfl: 1.036880 loss_bbox: 0.458153 loss_dfl: 0.429163 loss: 1.914016 eta: 7:24:42 batch_cost: 0.8030 data_cost: 0.0665 ips: 79.7016 images/s
[03/19 15:42:38] ppdet.engine INFO: Epoch: [231] [440/458] learning_rate: 0.039087 loss_vfl: 1.047342 loss_bbox: 0.466586 loss_dfl: 0.432197 loss: 1.938905 eta: 7:24:26 batch_cost: 1.0396 data_cost: 0.4686 ips: 61.5609 images/s
[03/19 15:42:58] ppdet.engine INFO: Epoch: [232] [  0/458] learning_rate: 0.039044 loss_vfl: 0.992229 loss_bbox: 0.462957 loss_dfl: 0.420784 loss: 1.858210 eta: 7:24:12 batch_cost: 1.0633 data_cost: 0.5232 ips: 60.1886 images/s
[03/19 15:43:19] ppdet.engine INFO: Epoch: [232] [ 20/458] learning_rate: 0.038996 loss_vfl: 0.990217 loss_bbox: 0.442732 loss_dfl: 0.420793 loss: 1.888720 eta: 7:23:55 batch_cost: 0.9253 data_cost: 0.1463 ips: 69.1637 images/s
[03/19 15:43:41] ppdet.engine INFO: Epoch: [232] [ 40/458] learning_rate: 0.038948 loss_vfl: 1.051871 loss_bbox: 0.476328 loss_dfl: 0.440286 loss: 1.969701 eta: 7:23:39 batch_cost: 1.0237 data_cost: 0.0006 ips: 62.5201 images/s
[03/19 15:44:02] ppdet.engine INFO: Epoch: [232] [ 60/458] learning_rate: 0.038900 loss_vfl: 1.023105 loss_bbox: 0.484409 loss_dfl: 0.447755 loss: 1.967311 eta: 7:23:22 batch_cost: 0.9657 data_cost: 0.0033 ips: 66.2764 images/s
[03/19 15:44:22] ppdet.engine INFO: Epoch: [232] [ 80/458] learning_rate: 0.038852 loss_vfl: 0.954519 loss_bbox: 0.420832 loss_dfl: 0.406787 loss: 1.786756 eta: 7:23:05 batch_cost: 0.8893 data_cost: 0.0041 ips: 71.9660 images/s
[03/19 15:44:44] ppdet.engine INFO: Epoch: [232] [100/458] learning_rate: 0.038804 loss_vfl: 1.025748 loss_bbox: 0.475335 loss_dfl: 0.442311 loss: 1.943630 eta: 7:22:49 batch_cost: 0.9499 data_cost: 0.0003 ips: 67.3737 images/s
[03/19 15:45:06] ppdet.engine INFO: Epoch: [232] [120/458] learning_rate: 0.038756 loss_vfl: 0.988638 loss_bbox: 0.457378 loss_dfl: 0.427950 loss: 1.852454 eta: 7:22:32 batch_cost: 0.9675 data_cost: 0.0024 ips: 66.1506 images/s
[03/19 15:45:25] ppdet.engine INFO: Epoch: [232] [140/458] learning_rate: 0.038708 loss_vfl: 1.005890 loss_bbox: 0.450547 loss_dfl: 0.424242 loss: 1.884071 eta: 7:22:15 batch_cost: 0.8490 data_cost: 0.0011 ips: 75.3819 images/s
[03/19 15:45:44] ppdet.engine INFO: Epoch: [232] [160/458] learning_rate: 0.038661 loss_vfl: 0.984564 loss_bbox: 0.435155 loss_dfl: 0.410049 loss: 1.851383 eta: 7:21:58 batch_cost: 0.8442 data_cost: 0.0016 ips: 75.8130 images/s
[03/19 15:46:06] ppdet.engine INFO: Epoch: [232] [180/458] learning_rate: 0.038613 loss_vfl: 1.002192 loss_bbox: 0.452478 loss_dfl: 0.426433 loss: 1.882970 eta: 7:21:42 batch_cost: 1.0385 data_cost: 0.2021 ips: 61.6251 images/s
[03/19 15:46:27] ppdet.engine INFO: Epoch: [232] [200/458] learning_rate: 0.038565 loss_vfl: 0.986815 loss_bbox: 0.450584 loss_dfl: 0.418847 loss: 1.859727 eta: 7:21:25 batch_cost: 0.9374 data_cost: 0.0982 ips: 68.2755 images/s
[03/19 15:46:43] ppdet.engine INFO: Epoch: [232] [220/458] learning_rate: 0.038517 loss_vfl: 1.006086 loss_bbox: 0.441491 loss_dfl: 0.411844 loss: 1.850754 eta: 7:21:07 batch_cost: 0.7345 data_cost: 0.0348 ips: 87.1389 images/s
[03/19 15:47:00] ppdet.engine INFO: Epoch: [232] [240/458] learning_rate: 0.038470 loss_vfl: 0.953034 loss_bbox: 0.432331 loss_dfl: 0.411445 loss: 1.781313 eta: 7:20:50 batch_cost: 0.7697 data_cost: 0.0016 ips: 83.1513 images/s
[03/19 15:47:16] ppdet.engine INFO: Epoch: [232] [260/458] learning_rate: 0.038422 loss_vfl: 1.031136 loss_bbox: 0.471608 loss_dfl: 0.436754 loss: 1.948145 eta: 7:20:32 batch_cost: 0.7370 data_cost: 0.0022 ips: 86.8444 images/s
[03/19 15:47:38] ppdet.engine INFO: Epoch: [232] [280/458] learning_rate: 0.038374 loss_vfl: 1.032541 loss_bbox: 0.456066 loss_dfl: 0.444802 loss: 1.943143 eta: 7:20:16 batch_cost: 0.9935 data_cost: 0.0064 ips: 64.4160 images/s
[03/19 15:47:59] ppdet.engine INFO: Epoch: [232] [300/458] learning_rate: 0.038327 loss_vfl: 1.005108 loss_bbox: 0.434832 loss_dfl: 0.408302 loss: 1.857492 eta: 7:19:59 batch_cost: 0.9457 data_cost: 0.0029 ips: 67.6743 images/s
[03/19 15:48:21] ppdet.engine INFO: Epoch: [232] [320/458] learning_rate: 0.038279 loss_vfl: 1.014631 loss_bbox: 0.458679 loss_dfl: 0.421107 loss: 1.902433 eta: 7:19:43 batch_cost: 0.9880 data_cost: 0.0944 ips: 64.7787 images/s
[03/19 15:48:41] ppdet.engine INFO: Epoch: [232] [340/458] learning_rate: 0.038232 loss_vfl: 1.014528 loss_bbox: 0.457466 loss_dfl: 0.433584 loss: 1.892523 eta: 7:19:26 batch_cost: 0.8993 data_cost: 0.0021 ips: 71.1694 images/s
[03/19 15:48:59] ppdet.engine INFO: Epoch: [232] [360/458] learning_rate: 0.038184 loss_vfl: 0.983004 loss_bbox: 0.444654 loss_dfl: 0.414814 loss: 1.824290 eta: 7:19:09 batch_cost: 0.8420 data_cost: 0.0008 ips: 76.0086 images/s
[03/19 15:49:20] ppdet.engine INFO: Epoch: [232] [380/458] learning_rate: 0.038136 loss_vfl: 1.030590 loss_bbox: 0.453669 loss_dfl: 0.423602 loss: 1.907876 eta: 7:18:52 batch_cost: 0.9229 data_cost: 0.0557 ips: 69.3493 images/s
[03/19 15:49:42] ppdet.engine INFO: Epoch: [232] [400/458] learning_rate: 0.038089 loss_vfl: 0.957548 loss_bbox: 0.416303 loss_dfl: 0.390229 loss: 1.755874 eta: 7:18:36 batch_cost: 1.0058 data_cost: 0.0757 ips: 63.6332 images/s
[03/19 15:50:03] ppdet.engine INFO: Epoch: [232] [420/458] learning_rate: 0.038041 loss_vfl: 0.973461 loss_bbox: 0.438100 loss_dfl: 0.409364 loss: 1.800364 eta: 7:18:19 batch_cost: 0.9789 data_cost: 0.2599 ips: 65.3791 images/s
[03/19 15:50:23] ppdet.engine INFO: Epoch: [232] [440/458] learning_rate: 0.037994 loss_vfl: 1.026191 loss_bbox: 0.456660 loss_dfl: 0.428568 loss: 1.914375 eta: 7:18:03 batch_cost: 0.9300 data_cost: 0.2958 ips: 68.8140 images/s
[03/19 15:50:44] ppdet.engine INFO: Epoch: [233] [  0/458] learning_rate: 0.037951 loss_vfl: 0.978190 loss_bbox: 0.463235 loss_dfl: 0.415282 loss: 1.837044 eta: 7:17:48 batch_cost: 0.9840 data_cost: 0.4510 ips: 65.0432 images/s
[03/19 15:51:04] ppdet.engine INFO: Epoch: [233] [ 20/458] learning_rate: 0.037904 loss_vfl: 1.008396 loss_bbox: 0.444242 loss_dfl: 0.428176 loss: 1.885362 eta: 7:17:30 batch_cost: 0.7965 data_cost: 0.2220 ips: 80.3473 images/s
[03/19 15:51:22] ppdet.engine INFO: Epoch: [233] [ 40/458] learning_rate: 0.037857 loss_vfl: 0.990518 loss_bbox: 0.465016 loss_dfl: 0.428613 loss: 1.865200 eta: 7:17:13 batch_cost: 0.8287 data_cost: 0.2108 ips: 77.2307 images/s
[03/19 15:51:39] ppdet.engine INFO: Epoch: [233] [ 60/458] learning_rate: 0.037809 loss_vfl: 1.037839 loss_bbox: 0.462125 loss_dfl: 0.439536 loss: 1.927272 eta: 7:16:55 batch_cost: 0.7557 data_cost: 0.2122 ips: 84.6917 images/s
[03/19 15:52:02] ppdet.engine INFO: Epoch: [233] [ 80/458] learning_rate: 0.037762 loss_vfl: 1.018135 loss_bbox: 0.447043 loss_dfl: 0.419405 loss: 1.900354 eta: 7:16:39 batch_cost: 1.0121 data_cost: 0.3512 ips: 63.2359 images/s
[03/19 15:52:21] ppdet.engine INFO: Epoch: [233] [100/458] learning_rate: 0.037715 loss_vfl: 1.049806 loss_bbox: 0.474273 loss_dfl: 0.440758 loss: 1.967555 eta: 7:16:22 batch_cost: 0.8369 data_cost: 0.1516 ips: 76.4709 images/s
[03/19 15:52:41] ppdet.engine INFO: Epoch: [233] [120/458] learning_rate: 0.037667 loss_vfl: 1.043462 loss_bbox: 0.494941 loss_dfl: 0.456096 loss: 2.012568 eta: 7:16:05 batch_cost: 0.9024 data_cost: 0.0069 ips: 70.9211 images/s
[03/19 15:53:02] ppdet.engine INFO: Epoch: [233] [140/458] learning_rate: 0.037620 loss_vfl: 1.004600 loss_bbox: 0.466017 loss_dfl: 0.429701 loss: 1.900023 eta: 7:15:48 batch_cost: 0.9184 data_cost: 0.0032 ips: 69.6840 images/s
[03/19 15:53:19] ppdet.engine INFO: Epoch: [233] [160/458] learning_rate: 0.037573 loss_vfl: 1.003256 loss_bbox: 0.444900 loss_dfl: 0.423092 loss: 1.846226 eta: 7:15:31 batch_cost: 0.7222 data_cost: 0.0527 ips: 88.6213 images/s
[03/19 15:53:35] ppdet.engine INFO: Epoch: [233] [180/458] learning_rate: 0.037526 loss_vfl: 1.062838 loss_bbox: 0.494122 loss_dfl: 0.460629 loss: 2.031807 eta: 7:15:12 batch_cost: 0.6785 data_cost: 0.0037 ips: 94.3307 images/s
[03/19 15:53:52] ppdet.engine INFO: Epoch: [233] [200/458] learning_rate: 0.037478 loss_vfl: 1.040572 loss_bbox: 0.487940 loss_dfl: 0.441717 loss: 1.958151 eta: 7:14:55 batch_cost: 0.7636 data_cost: 0.0003 ips: 83.8084 images/s
[03/19 15:54:10] ppdet.engine INFO: Epoch: [233] [220/458] learning_rate: 0.037431 loss_vfl: 1.008377 loss_bbox: 0.464411 loss_dfl: 0.430130 loss: 1.890776 eta: 7:14:37 batch_cost: 0.7546 data_cost: 0.0021 ips: 84.8075 images/s
[03/19 15:54:29] ppdet.engine INFO: Epoch: [233] [240/458] learning_rate: 0.037384 loss_vfl: 0.957878 loss_bbox: 0.426570 loss_dfl: 0.405163 loss: 1.766509 eta: 7:14:20 batch_cost: 0.8384 data_cost: 0.0024 ips: 76.3343 images/s
[03/19 15:54:48] ppdet.engine INFO: Epoch: [233] [260/458] learning_rate: 0.037337 loss_vfl: 1.014362 loss_bbox: 0.454895 loss_dfl: 0.422849 loss: 1.876784 eta: 7:14:03 batch_cost: 0.8277 data_cost: 0.0055 ips: 77.3223 images/s
[03/19 15:55:07] ppdet.engine INFO: Epoch: [233] [280/458] learning_rate: 0.037290 loss_vfl: 1.001682 loss_bbox: 0.473611 loss_dfl: 0.429972 loss: 1.909050 eta: 7:13:46 batch_cost: 0.8775 data_cost: 0.1188 ips: 72.9378 images/s
[03/19 15:55:27] ppdet.engine INFO: Epoch: [233] [300/458] learning_rate: 0.037243 loss_vfl: 1.000843 loss_bbox: 0.444908 loss_dfl: 0.423989 loss: 1.860782 eta: 7:13:28 batch_cost: 0.8459 data_cost: 0.0733 ips: 75.6604 images/s
[03/19 15:55:47] ppdet.engine INFO: Epoch: [233] [320/458] learning_rate: 0.037196 loss_vfl: 0.946206 loss_bbox: 0.439576 loss_dfl: 0.403972 loss: 1.783692 eta: 7:13:11 batch_cost: 0.8722 data_cost: 0.0352 ips: 73.3776 images/s
[03/19 15:56:07] ppdet.engine INFO: Epoch: [233] [340/458] learning_rate: 0.037149 loss_vfl: 0.977183 loss_bbox: 0.452258 loss_dfl: 0.409237 loss: 1.818224 eta: 7:12:55 batch_cost: 0.9026 data_cost: 0.0017 ips: 70.9097 images/s
[03/19 15:56:27] ppdet.engine INFO: Epoch: [233] [360/458] learning_rate: 0.037102 loss_vfl: 0.982858 loss_bbox: 0.437780 loss_dfl: 0.418597 loss: 1.812823 eta: 7:12:37 batch_cost: 0.8288 data_cost: 0.0054 ips: 77.2199 images/s
[03/19 15:56:48] ppdet.engine INFO: Epoch: [233] [380/458] learning_rate: 0.037055 loss_vfl: 1.037499 loss_bbox: 0.458442 loss_dfl: 0.452041 loss: 1.976630 eta: 7:12:21 batch_cost: 0.9702 data_cost: 0.0017 ips: 65.9659 images/s
[03/19 15:57:08] ppdet.engine INFO: Epoch: [233] [400/458] learning_rate: 0.037008 loss_vfl: 1.011595 loss_bbox: 0.465076 loss_dfl: 0.427993 loss: 1.911046 eta: 7:12:04 batch_cost: 0.9146 data_cost: 0.0020 ips: 69.9784 images/s
[03/19 15:57:27] ppdet.engine INFO: Epoch: [233] [420/458] learning_rate: 0.036961 loss_vfl: 1.010977 loss_bbox: 0.428077 loss_dfl: 0.407923 loss: 1.837889 eta: 7:11:47 batch_cost: 0.8304 data_cost: 0.0022 ips: 77.0709 images/s
[03/19 15:57:46] ppdet.engine INFO: Epoch: [233] [440/458] learning_rate: 0.036914 loss_vfl: 1.022051 loss_bbox: 0.452947 loss_dfl: 0.424710 loss: 1.885455 eta: 7:11:30 batch_cost: 0.8453 data_cost: 0.0035 ips: 75.7132 images/s
[03/19 15:58:10] ppdet.engine INFO: Epoch: [234] [  0/458] learning_rate: 0.036872 loss_vfl: 1.014782 loss_bbox: 0.474163 loss_dfl: 0.436176 loss: 1.904230 eta: 7:11:16 batch_cost: 1.1167 data_cost: 0.3100 ips: 57.3098 images/s
[03/19 15:58:30] ppdet.engine INFO: Epoch: [234] [ 20/458] learning_rate: 0.036825 loss_vfl: 1.001054 loss_bbox: 0.454233 loss_dfl: 0.423892 loss: 1.891344 eta: 7:10:59 batch_cost: 0.8633 data_cost: 0.0143 ips: 74.1322 images/s
[03/19 15:58:50] ppdet.engine INFO: Epoch: [234] [ 40/458] learning_rate: 0.036779 loss_vfl: 0.961493 loss_bbox: 0.447314 loss_dfl: 0.417531 loss: 1.843183 eta: 7:10:42 batch_cost: 0.9075 data_cost: 0.2610 ips: 70.5206 images/s
[03/19 15:59:10] ppdet.engine INFO: Epoch: [234] [ 60/458] learning_rate: 0.036732 loss_vfl: 1.000370 loss_bbox: 0.443597 loss_dfl: 0.419888 loss: 1.863557 eta: 7:10:25 batch_cost: 0.9002 data_cost: 0.3245 ips: 71.0947 images/s
[03/19 15:59:32] ppdet.engine INFO: Epoch: [234] [ 80/458] learning_rate: 0.036685 loss_vfl: 1.002790 loss_bbox: 0.452351 loss_dfl: 0.427564 loss: 1.886254 eta: 7:10:08 batch_cost: 0.9743 data_cost: 0.3014 ips: 65.6914 images/s
[03/19 15:59:52] ppdet.engine INFO: Epoch: [234] [100/458] learning_rate: 0.036638 loss_vfl: 0.967605 loss_bbox: 0.445868 loss_dfl: 0.422493 loss: 1.855740 eta: 7:09:51 batch_cost: 0.8144 data_cost: 0.0046 ips: 78.5900 images/s
[03/19 16:00:12] ppdet.engine INFO: Epoch: [234] [120/458] learning_rate: 0.036592 loss_vfl: 0.996912 loss_bbox: 0.452816 loss_dfl: 0.429703 loss: 1.890014 eta: 7:09:34 batch_cost: 0.8233 data_cost: 0.0828 ips: 77.7320 images/s
[03/19 16:00:32] ppdet.engine INFO: Epoch: [234] [140/458] learning_rate: 0.036545 loss_vfl: 1.073750 loss_bbox: 0.476930 loss_dfl: 0.455906 loss: 2.040901 eta: 7:09:16 batch_cost: 0.8265 data_cost: 0.1243 ips: 77.4304 images/s
[03/19 16:00:47] ppdet.engine INFO: Epoch: [234] [160/458] learning_rate: 0.036498 loss_vfl: 1.015562 loss_bbox: 0.470515 loss_dfl: 0.437982 loss: 1.902690 eta: 7:08:58 batch_cost: 0.6814 data_cost: 0.0349 ips: 93.9208 images/s
[03/19 16:01:02] ppdet.engine INFO: Epoch: [234] [180/458] learning_rate: 0.036452 loss_vfl: 0.977884 loss_bbox: 0.434084 loss_dfl: 0.409488 loss: 1.829180 eta: 7:08:40 batch_cost: 0.6496 data_cost: 0.0204 ips: 98.5216 images/s
[03/19 16:01:22] ppdet.engine INFO: Epoch: [234] [200/458] learning_rate: 0.036405 loss_vfl: 0.963916 loss_bbox: 0.434651 loss_dfl: 0.410561 loss: 1.813640 eta: 7:08:23 batch_cost: 0.8910 data_cost: 0.0026 ips: 71.8322 images/s
[03/19 16:01:42] ppdet.engine INFO: Epoch: [234] [220/458] learning_rate: 0.036359 loss_vfl: 0.968959 loss_bbox: 0.450694 loss_dfl: 0.408012 loss: 1.829429 eta: 7:08:06 batch_cost: 0.8939 data_cost: 0.0025 ips: 71.5998 images/s
[03/19 16:02:01] ppdet.engine INFO: Epoch: [234] [240/458] learning_rate: 0.036312 loss_vfl: 0.988678 loss_bbox: 0.457020 loss_dfl: 0.419370 loss: 1.864871 eta: 7:07:49 batch_cost: 0.7924 data_cost: 0.0046 ips: 80.7721 images/s
[03/19 16:02:21] ppdet.engine INFO: Epoch: [234] [260/458] learning_rate: 0.036266 loss_vfl: 1.012378 loss_bbox: 0.456887 loss_dfl: 0.428631 loss: 1.871025 eta: 7:07:32 batch_cost: 0.8569 data_cost: 0.1058 ips: 74.6883 images/s
[03/19 16:02:41] ppdet.engine INFO: Epoch: [234] [280/458] learning_rate: 0.036219 loss_vfl: 1.001947 loss_bbox: 0.458317 loss_dfl: 0.420589 loss: 1.867464 eta: 7:07:15 batch_cost: 0.8762 data_cost: 0.3199 ips: 73.0430 images/s
[03/19 16:03:01] ppdet.engine INFO: Epoch: [234] [300/458] learning_rate: 0.036173 loss_vfl: 0.996043 loss_bbox: 0.441306 loss_dfl: 0.415627 loss: 1.865692 eta: 7:06:58 batch_cost: 0.9194 data_cost: 0.3781 ips: 69.6104 images/s
[03/19 16:03:22] ppdet.engine INFO: Epoch: [234] [320/458] learning_rate: 0.036126 loss_vfl: 0.977521 loss_bbox: 0.435265 loss_dfl: 0.415052 loss: 1.793621 eta: 7:06:41 batch_cost: 0.9188 data_cost: 0.3631 ips: 69.6571 images/s
[03/19 16:03:40] ppdet.engine INFO: Epoch: [234] [340/458] learning_rate: 0.036080 loss_vfl: 0.993035 loss_bbox: 0.443266 loss_dfl: 0.408386 loss: 1.849843 eta: 7:06:24 batch_cost: 0.7883 data_cost: 0.1372 ips: 81.1888 images/s
[03/19 16:03:59] ppdet.engine INFO: Epoch: [234] [360/458] learning_rate: 0.036034 loss_vfl: 0.985196 loss_bbox: 0.434667 loss_dfl: 0.405709 loss: 1.828933 eta: 7:06:07 batch_cost: 0.8758 data_cost: 0.2955 ips: 73.0756 images/s
[03/19 16:04:21] ppdet.engine INFO: Epoch: [234] [380/458] learning_rate: 0.035987 loss_vfl: 1.023746 loss_bbox: 0.463790 loss_dfl: 0.435741 loss: 1.907628 eta: 7:05:50 batch_cost: 0.9539 data_cost: 0.2844 ips: 67.0958 images/s
[03/19 16:04:40] ppdet.engine INFO: Epoch: [234] [400/458] learning_rate: 0.035941 loss_vfl: 1.026398 loss_bbox: 0.459974 loss_dfl: 0.451009 loss: 1.957942 eta: 7:05:33 batch_cost: 0.8519 data_cost: 0.2384 ips: 75.1305 images/s
[03/19 16:05:01] ppdet.engine INFO: Epoch: [234] [420/458] learning_rate: 0.035895 loss_vfl: 0.980763 loss_bbox: 0.458245 loss_dfl: 0.429058 loss: 1.862978 eta: 7:05:16 batch_cost: 0.9234 data_cost: 0.2799 ips: 69.3096 images/s
[03/19 16:05:20] ppdet.engine INFO: Epoch: [234] [440/458] learning_rate: 0.035848 loss_vfl: 1.003684 loss_bbox: 0.440529 loss_dfl: 0.417101 loss: 1.867873 eta: 7:04:59 batch_cost: 0.8108 data_cost: 0.2592 ips: 78.9379 images/s
[03/19 16:05:43] ppdet.engine INFO: Epoch: [235] [  0/458] learning_rate: 0.035807 loss_vfl: 0.982311 loss_bbox: 0.448336 loss_dfl: 0.413907 loss: 1.842805 eta: 7:04:45 batch_cost: 1.0969 data_cost: 0.5477 ips: 58.3444 images/s
[03/19 16:06:01] ppdet.engine INFO: Epoch: [235] [ 20/458] learning_rate: 0.035761 loss_vfl: 1.007589 loss_bbox: 0.448863 loss_dfl: 0.432355 loss: 1.894654 eta: 7:04:27 batch_cost: 0.7334 data_cost: 0.0693 ips: 87.2591 images/s
[03/19 16:06:22] ppdet.engine INFO: Epoch: [235] [ 40/458] learning_rate: 0.035714 loss_vfl: 0.982209 loss_bbox: 0.447234 loss_dfl: 0.423680 loss: 1.849208 eta: 7:04:10 batch_cost: 0.8532 data_cost: 0.3048 ips: 75.0114 images/s
[03/19 16:06:41] ppdet.engine INFO: Epoch: [235] [ 60/458] learning_rate: 0.035668 loss_vfl: 0.997320 loss_bbox: 0.455848 loss_dfl: 0.427345 loss: 1.882827 eta: 7:03:52 batch_cost: 0.8005 data_cost: 0.0012 ips: 79.9480 images/s
[03/19 16:07:03] ppdet.engine INFO: Epoch: [235] [ 80/458] learning_rate: 0.035622 loss_vfl: 1.062586 loss_bbox: 0.485794 loss_dfl: 0.454741 loss: 1.997350 eta: 7:03:36 batch_cost: 1.0073 data_cost: 0.4223 ips: 63.5379 images/s
[03/19 16:07:22] ppdet.engine INFO: Epoch: [235] [100/458] learning_rate: 0.035576 loss_vfl: 1.029251 loss_bbox: 0.426992 loss_dfl: 0.417808 loss: 1.863035 eta: 7:03:19 batch_cost: 0.8041 data_cost: 0.2848 ips: 79.5963 images/s
[03/19 16:07:40] ppdet.engine INFO: Epoch: [235] [120/458] learning_rate: 0.035530 loss_vfl: 1.019717 loss_bbox: 0.475358 loss_dfl: 0.432148 loss: 1.937655 eta: 7:03:01 batch_cost: 0.7483 data_cost: 0.2228 ips: 85.5246 images/s
[03/19 16:07:55] ppdet.engine INFO: Epoch: [235] [140/458] learning_rate: 0.035484 loss_vfl: 1.032509 loss_bbox: 0.452587 loss_dfl: 0.410622 loss: 1.866521 eta: 7:02:43 batch_cost: 0.6328 data_cost: 0.2381 ips: 101.1343 images/s
[03/19 16:08:09] ppdet.engine INFO: Epoch: [235] [160/458] learning_rate: 0.035438 loss_vfl: 0.952953 loss_bbox: 0.438139 loss_dfl: 0.406910 loss: 1.808321 eta: 7:02:24 batch_cost: 0.6267 data_cost: 0.1129 ips: 102.1207 images/s
[03/19 16:08:26] ppdet.engine INFO: Epoch: [235] [180/458] learning_rate: 0.035392 loss_vfl: 1.060839 loss_bbox: 0.465674 loss_dfl: 0.447597 loss: 1.971001 eta: 7:02:07 batch_cost: 0.7772 data_cost: 0.2355 ips: 82.3450 images/s
[03/19 16:08:47] ppdet.engine INFO: Epoch: [235] [200/458] learning_rate: 0.035346 loss_vfl: 1.014602 loss_bbox: 0.452452 loss_dfl: 0.428973 loss: 1.894391 eta: 7:01:50 batch_cost: 0.9138 data_cost: 0.2742 ips: 70.0407 images/s
[03/19 16:09:09] ppdet.engine INFO: Epoch: [235] [220/458] learning_rate: 0.035300 loss_vfl: 0.948057 loss_bbox: 0.423065 loss_dfl: 0.411088 loss: 1.789839 eta: 7:01:33 batch_cost: 0.9452 data_cost: 0.1512 ips: 67.7137 images/s
[03/19 16:09:29] ppdet.engine INFO: Epoch: [235] [240/458] learning_rate: 0.035254 loss_vfl: 1.009094 loss_bbox: 0.452256 loss_dfl: 0.427632 loss: 1.886614 eta: 7:01:17 batch_cost: 0.9238 data_cost: 0.3563 ips: 69.2790 images/s
[03/19 16:09:48] ppdet.engine INFO: Epoch: [235] [260/458] learning_rate: 0.035208 loss_vfl: 1.003631 loss_bbox: 0.438709 loss_dfl: 0.425882 loss: 1.889946 eta: 7:00:59 batch_cost: 0.8205 data_cost: 0.3063 ips: 78.0033 images/s
[03/19 16:10:09] ppdet.engine INFO: Epoch: [235] [280/458] learning_rate: 0.035162 loss_vfl: 1.038891 loss_bbox: 0.477609 loss_dfl: 0.446136 loss: 1.959466 eta: 7:00:42 batch_cost: 0.8768 data_cost: 0.1905 ips: 72.9959 images/s
[03/19 16:10:27] ppdet.engine INFO: Epoch: [235] [300/458] learning_rate: 0.035116 loss_vfl: 1.000950 loss_bbox: 0.456270 loss_dfl: 0.419825 loss: 1.881861 eta: 7:00:25 batch_cost: 0.7803 data_cost: 0.2561 ips: 82.0168 images/s
[03/19 16:10:50] ppdet.engine INFO: Epoch: [235] [320/458] learning_rate: 0.035070 loss_vfl: 1.019534 loss_bbox: 0.462115 loss_dfl: 0.428483 loss: 1.906385 eta: 7:00:08 batch_cost: 0.9759 data_cost: 0.3834 ips: 65.5829 images/s
[03/19 16:11:10] ppdet.engine INFO: Epoch: [235] [340/458] learning_rate: 0.035025 loss_vfl: 1.017944 loss_bbox: 0.454112 loss_dfl: 0.422024 loss: 1.917050 eta: 6:59:51 batch_cost: 0.8564 data_cost: 0.2379 ips: 74.7350 images/s
[03/19 16:11:30] ppdet.engine INFO: Epoch: [235] [360/458] learning_rate: 0.034979 loss_vfl: 0.985552 loss_bbox: 0.450732 loss_dfl: 0.420706 loss: 1.869790 eta: 6:59:34 batch_cost: 0.9139 data_cost: 0.3064 ips: 70.0333 images/s
[03/19 16:11:48] ppdet.engine INFO: Epoch: [235] [380/458] learning_rate: 0.034933 loss_vfl: 0.953295 loss_bbox: 0.450397 loss_dfl: 0.414005 loss: 1.818172 eta: 6:59:17 batch_cost: 0.7684 data_cost: 0.2298 ips: 83.2942 images/s
[03/19 16:12:10] ppdet.engine INFO: Epoch: [235] [400/458] learning_rate: 0.034887 loss_vfl: 1.003705 loss_bbox: 0.443281 loss_dfl: 0.423153 loss: 1.854675 eta: 6:59:00 batch_cost: 0.9135 data_cost: 0.3388 ips: 70.0583 images/s
[03/19 16:12:31] ppdet.engine INFO: Epoch: [235] [420/458] learning_rate: 0.034842 loss_vfl: 1.026199 loss_bbox: 0.473550 loss_dfl: 0.433800 loss: 1.930905 eta: 6:58:43 batch_cost: 0.8923 data_cost: 0.2625 ips: 71.7238 images/s
[03/19 16:12:49] ppdet.engine INFO: Epoch: [235] [440/458] learning_rate: 0.034796 loss_vfl: 0.967289 loss_bbox: 0.452938 loss_dfl: 0.420056 loss: 1.850285 eta: 6:58:26 batch_cost: 0.8105 data_cost: 0.1868 ips: 78.9599 images/s
[03/19 16:13:12] ppdet.engine INFO: Epoch: [236] [  0/458] learning_rate: 0.034755 loss_vfl: 1.056722 loss_bbox: 0.482052 loss_dfl: 0.452517 loss: 1.981054 eta: 6:58:11 batch_cost: 1.0571 data_cost: 0.5927 ips: 60.5425 images/s
[03/19 16:13:32] ppdet.engine INFO: Epoch: [236] [ 20/458] learning_rate: 0.034709 loss_vfl: 1.001983 loss_bbox: 0.436694 loss_dfl: 0.414639 loss: 1.857540 eta: 6:57:54 batch_cost: 0.7956 data_cost: 0.1191 ips: 80.4396 images/s
[03/19 16:13:52] ppdet.engine INFO: Epoch: [236] [ 40/458] learning_rate: 0.034664 loss_vfl: 0.975111 loss_bbox: 0.429152 loss_dfl: 0.413295 loss: 1.797124 eta: 6:57:37 batch_cost: 0.8961 data_cost: 0.2506 ips: 71.4195 images/s
[03/19 16:14:15] ppdet.engine INFO: Epoch: [236] [ 60/458] learning_rate: 0.034618 loss_vfl: 0.963066 loss_bbox: 0.427136 loss_dfl: 0.419535 loss: 1.822602 eta: 6:57:21 batch_cost: 0.9927 data_cost: 0.4190 ips: 64.4709 images/s
[03/19 16:14:35] ppdet.engine INFO: Epoch: [236] [ 80/458] learning_rate: 0.034573 loss_vfl: 0.985175 loss_bbox: 0.447565 loss_dfl: 0.419963 loss: 1.849697 eta: 6:57:04 batch_cost: 0.8661 data_cost: 0.1260 ips: 73.8912 images/s
[03/19 16:14:54] ppdet.engine INFO: Epoch: [236] [100/458] learning_rate: 0.034527 loss_vfl: 0.965397 loss_bbox: 0.455544 loss_dfl: 0.424926 loss: 1.867150 eta: 6:56:47 batch_cost: 0.8587 data_cost: 0.0065 ips: 74.5294 images/s
[03/19 16:15:10] ppdet.engine INFO: Epoch: [236] [120/458] learning_rate: 0.034482 loss_vfl: 0.986511 loss_bbox: 0.440871 loss_dfl: 0.418570 loss: 1.838963 eta: 6:56:28 batch_cost: 0.6622 data_cost: 0.0063 ips: 96.6537 images/s
[03/19 16:15:25] ppdet.engine INFO: Epoch: [236] [140/458] learning_rate: 0.034436 loss_vfl: 1.040399 loss_bbox: 0.436083 loss_dfl: 0.431222 loss: 1.915972 eta: 6:56:10 batch_cost: 0.6480 data_cost: 0.1390 ips: 98.7725 images/s
[03/19 16:15:42] ppdet.engine INFO: Epoch: [236] [160/458] learning_rate: 0.034391 loss_vfl: 1.063448 loss_bbox: 0.495333 loss_dfl: 0.454205 loss: 2.001445 eta: 6:55:52 batch_cost: 0.7306 data_cost: 0.0029 ips: 87.5986 images/s
[03/19 16:16:03] ppdet.engine INFO: Epoch: [236] [180/458] learning_rate: 0.034345 loss_vfl: 1.027383 loss_bbox: 0.480558 loss_dfl: 0.440740 loss: 1.947494 eta: 6:55:35 batch_cost: 0.8838 data_cost: 0.0445 ips: 72.4131 images/s
[03/19 16:16:23] ppdet.engine INFO: Epoch: [236] [200/458] learning_rate: 0.034300 loss_vfl: 0.990126 loss_bbox: 0.454788 loss_dfl: 0.426700 loss: 1.868832 eta: 6:55:18 batch_cost: 0.8893 data_cost: 0.0053 ips: 71.9630 images/s
[03/19 16:16:43] ppdet.engine INFO: Epoch: [236] [220/458] learning_rate: 0.034255 loss_vfl: 1.008692 loss_bbox: 0.460581 loss_dfl: 0.430490 loss: 1.903499 eta: 6:55:01 batch_cost: 0.8862 data_cost: 0.2303 ips: 72.2175 images/s
[03/19 16:17:02] ppdet.engine INFO: Epoch: [236] [240/458] learning_rate: 0.034209 loss_vfl: 0.950697 loss_bbox: 0.439539 loss_dfl: 0.414676 loss: 1.810415 eta: 6:54:44 batch_cost: 0.8235 data_cost: 0.0356 ips: 77.7130 images/s
[03/19 16:17:22] ppdet.engine INFO: Epoch: [236] [260/458] learning_rate: 0.034164 loss_vfl: 1.044049 loss_bbox: 0.462997 loss_dfl: 0.451291 loss: 1.985042 eta: 6:54:27 batch_cost: 0.8292 data_cost: 0.0027 ips: 77.1834 images/s
[03/19 16:17:41] ppdet.engine INFO: Epoch: [236] [280/458] learning_rate: 0.034119 loss_vfl: 1.083158 loss_bbox: 0.503808 loss_dfl: 0.463867 loss: 2.064265 eta: 6:54:10 batch_cost: 0.8181 data_cost: 0.0044 ips: 78.2334 images/s
[03/19 16:18:02] ppdet.engine INFO: Epoch: [236] [300/458] learning_rate: 0.034073 loss_vfl: 1.053357 loss_bbox: 0.482469 loss_dfl: 0.458915 loss: 1.994839 eta: 6:53:53 batch_cost: 0.8815 data_cost: 0.1364 ips: 72.6073 images/s
[03/19 16:18:20] ppdet.engine INFO: Epoch: [236] [320/458] learning_rate: 0.034028 loss_vfl: 0.990792 loss_bbox: 0.451550 loss_dfl: 0.428257 loss: 1.879540 eta: 6:53:35 batch_cost: 0.7884 data_cost: 0.1619 ips: 81.1750 images/s
[03/19 16:18:42] ppdet.engine INFO: Epoch: [236] [340/458] learning_rate: 0.033983 loss_vfl: 0.984301 loss_bbox: 0.443110 loss_dfl: 0.405467 loss: 1.835409 eta: 6:53:18 batch_cost: 0.9210 data_cost: 0.0565 ips: 69.4898 images/s
[03/19 16:19:01] ppdet.engine INFO: Epoch: [236] [360/458] learning_rate: 0.033938 loss_vfl: 0.999095 loss_bbox: 0.446488 loss_dfl: 0.420191 loss: 1.877471 eta: 6:53:01 batch_cost: 0.8526 data_cost: 0.1944 ips: 75.0650 images/s
[03/19 16:19:22] ppdet.engine INFO: Epoch: [236] [380/458] learning_rate: 0.033893 loss_vfl: 0.970005 loss_bbox: 0.442496 loss_dfl: 0.416291 loss: 1.850026 eta: 6:52:44 batch_cost: 0.9063 data_cost: 0.1487 ips: 70.6176 images/s
[03/19 16:19:40] ppdet.engine INFO: Epoch: [236] [400/458] learning_rate: 0.033848 loss_vfl: 0.996801 loss_bbox: 0.448548 loss_dfl: 0.412001 loss: 1.835856 eta: 6:52:27 batch_cost: 0.7863 data_cost: 0.1309 ips: 81.3951 images/s
[03/19 16:20:00] ppdet.engine INFO: Epoch: [236] [420/458] learning_rate: 0.033802 loss_vfl: 0.954985 loss_bbox: 0.433846 loss_dfl: 0.408396 loss: 1.770176 eta: 6:52:10 batch_cost: 0.8353 data_cost: 0.0015 ips: 76.6183 images/s
[03/19 16:20:20] ppdet.engine INFO: Epoch: [236] [440/458] learning_rate: 0.033757 loss_vfl: 1.020398 loss_bbox: 0.463084 loss_dfl: 0.429214 loss: 1.926271 eta: 6:51:53 batch_cost: 0.8759 data_cost: 0.0024 ips: 73.0712 images/s
[03/19 16:20:43] ppdet.engine INFO: Epoch: [237] [  0/458] learning_rate: 0.033717 loss_vfl: 1.041041 loss_bbox: 0.458452 loss_dfl: 0.438799 loss: 1.935238 eta: 6:51:39 batch_cost: 1.0794 data_cost: 0.5603 ips: 59.2939 images/s
[03/19 16:21:01] ppdet.engine INFO: Epoch: [237] [ 20/458] learning_rate: 0.033672 loss_vfl: 0.999257 loss_bbox: 0.463166 loss_dfl: 0.430961 loss: 1.882806 eta: 6:51:21 batch_cost: 0.7343 data_cost: 0.0045 ips: 87.1626 images/s
[03/19 16:21:22] ppdet.engine INFO: Epoch: [237] [ 40/458] learning_rate: 0.033627 loss_vfl: 1.031183 loss_bbox: 0.466359 loss_dfl: 0.434681 loss: 1.933858 eta: 6:51:04 batch_cost: 0.8867 data_cost: 0.0016 ips: 72.1797 images/s
[03/19 16:21:43] ppdet.engine INFO: Epoch: [237] [ 60/458] learning_rate: 0.033582 loss_vfl: 0.997289 loss_bbox: 0.447976 loss_dfl: 0.434901 loss: 1.872063 eta: 6:50:47 batch_cost: 0.8973 data_cost: 0.2045 ips: 71.3274 images/s
[03/19 16:22:03] ppdet.engine INFO: Epoch: [237] [ 80/458] learning_rate: 0.033537 loss_vfl: 0.982168 loss_bbox: 0.455260 loss_dfl: 0.422278 loss: 1.865673 eta: 6:50:30 batch_cost: 0.9241 data_cost: 0.3043 ips: 69.2575 images/s
[03/19 16:22:22] ppdet.engine INFO: Epoch: [237] [100/458] learning_rate: 0.033492 loss_vfl: 0.968459 loss_bbox: 0.456252 loss_dfl: 0.427245 loss: 1.883520 eta: 6:50:13 batch_cost: 0.7950 data_cost: 0.3121 ips: 80.5037 images/s
[03/19 16:22:35] ppdet.engine INFO: Epoch: [237] [120/458] learning_rate: 0.033447 loss_vfl: 0.940648 loss_bbox: 0.420410 loss_dfl: 0.393819 loss: 1.745923 eta: 6:49:54 batch_cost: 0.5838 data_cost: 0.1045 ips: 109.6317 images/s
[03/19 16:22:49] ppdet.engine INFO: Epoch: [237] [140/458] learning_rate: 0.033402 loss_vfl: 0.973586 loss_bbox: 0.435162 loss_dfl: 0.417767 loss: 1.837111 eta: 6:49:36 batch_cost: 0.6062 data_cost: 0.1299 ips: 105.5828 images/s
[03/19 16:23:10] ppdet.engine INFO: Epoch: [237] [160/458] learning_rate: 0.033358 loss_vfl: 1.045904 loss_bbox: 0.483397 loss_dfl: 0.447437 loss: 1.991890 eta: 6:49:19 batch_cost: 0.8634 data_cost: 0.2906 ips: 74.1255 images/s
[03/19 16:23:31] ppdet.engine INFO: Epoch: [237] [180/458] learning_rate: 0.033313 loss_vfl: 1.047380 loss_bbox: 0.454660 loss_dfl: 0.427955 loss: 1.912756 eta: 6:49:02 batch_cost: 0.9144 data_cost: 0.2901 ips: 69.9892 images/s
[03/19 16:23:49] ppdet.engine INFO: Epoch: [237] [200/458] learning_rate: 0.033268 loss_vfl: 0.993357 loss_bbox: 0.449826 loss_dfl: 0.419322 loss: 1.863929 eta: 6:48:44 batch_cost: 0.7917 data_cost: 0.0227 ips: 80.8429 images/s
[03/19 16:24:12] ppdet.engine INFO: Epoch: [237] [220/458] learning_rate: 0.033223 loss_vfl: 1.035820 loss_bbox: 0.473063 loss_dfl: 0.440220 loss: 1.959066 eta: 6:48:28 batch_cost: 1.0430 data_cost: 0.0633 ips: 61.3606 images/s
[03/19 16:24:31] ppdet.engine INFO: Epoch: [237] [240/458] learning_rate: 0.033178 loss_vfl: 1.056042 loss_bbox: 0.455788 loss_dfl: 0.437592 loss: 1.937012 eta: 6:48:11 batch_cost: 0.8076 data_cost: 0.0027 ips: 79.2434 images/s
[03/19 16:24:53] ppdet.engine INFO: Epoch: [237] [260/458] learning_rate: 0.033134 loss_vfl: 1.008703 loss_bbox: 0.449488 loss_dfl: 0.426677 loss: 1.876032 eta: 6:47:54 batch_cost: 0.8911 data_cost: 0.0065 ips: 71.8190 images/s
[03/19 16:25:13] ppdet.engine INFO: Epoch: [237] [280/458] learning_rate: 0.033089 loss_vfl: 0.948758 loss_bbox: 0.420682 loss_dfl: 0.400018 loss: 1.774540 eta: 6:47:37 batch_cost: 0.8709 data_cost: 0.2161 ips: 73.4886 images/s
[03/19 16:25:33] ppdet.engine INFO: Epoch: [237] [300/458] learning_rate: 0.033044 loss_vfl: 1.027175 loss_bbox: 0.446810 loss_dfl: 0.432058 loss: 1.901028 eta: 6:47:20 batch_cost: 0.8701 data_cost: 0.1170 ips: 73.5512 images/s
[03/19 16:25:52] ppdet.engine INFO: Epoch: [237] [320/458] learning_rate: 0.033000 loss_vfl: 1.013108 loss_bbox: 0.438424 loss_dfl: 0.422790 loss: 1.870439 eta: 6:47:02 batch_cost: 0.7922 data_cost: 0.0307 ips: 80.7913 images/s
[03/19 16:26:11] ppdet.engine INFO: Epoch: [237] [340/458] learning_rate: 0.032955 loss_vfl: 0.976111 loss_bbox: 0.442643 loss_dfl: 0.431895 loss: 1.859642 eta: 6:46:45 batch_cost: 0.7485 data_cost: 0.0027 ips: 85.5003 images/s
[03/19 16:26:30] ppdet.engine INFO: Epoch: [237] [360/458] learning_rate: 0.032911 loss_vfl: 1.000702 loss_bbox: 0.469829 loss_dfl: 0.428838 loss: 1.876601 eta: 6:46:27 batch_cost: 0.8023 data_cost: 0.0966 ips: 79.7720 images/s
[03/19 16:26:52] ppdet.engine INFO: Epoch: [237] [380/458] learning_rate: 0.032866 loss_vfl: 0.974739 loss_bbox: 0.432350 loss_dfl: 0.410634 loss: 1.834477 eta: 6:46:11 batch_cost: 0.9538 data_cost: 0.3940 ips: 67.1027 images/s
[03/19 16:27:13] ppdet.engine INFO: Epoch: [237] [400/458] learning_rate: 0.032822 loss_vfl: 0.993484 loss_bbox: 0.444553 loss_dfl: 0.416316 loss: 1.858725 eta: 6:45:54 batch_cost: 0.8846 data_cost: 0.2586 ips: 72.3506 images/s
[03/19 16:27:33] ppdet.engine INFO: Epoch: [237] [420/458] learning_rate: 0.032777 loss_vfl: 0.999078 loss_bbox: 0.446251 loss_dfl: 0.423220 loss: 1.846054 eta: 6:45:37 batch_cost: 0.8776 data_cost: 0.2090 ips: 72.9225 images/s
[03/19 16:27:52] ppdet.engine INFO: Epoch: [237] [440/458] learning_rate: 0.032733 loss_vfl: 0.979276 loss_bbox: 0.428670 loss_dfl: 0.412620 loss: 1.823115 eta: 6:45:19 batch_cost: 0.8240 data_cost: 0.2317 ips: 77.6705 images/s
[03/19 16:28:15] ppdet.engine INFO: Epoch: [238] [  0/458] learning_rate: 0.032693 loss_vfl: 1.017979 loss_bbox: 0.443878 loss_dfl: 0.420195 loss: 1.870560 eta: 6:45:05 batch_cost: 1.0649 data_cost: 0.5466 ips: 60.1021 images/s
[03/19 16:28:34] ppdet.engine INFO: Epoch: [238] [ 20/458] learning_rate: 0.032648 loss_vfl: 0.977328 loss_bbox: 0.427311 loss_dfl: 0.407924 loss: 1.799423 eta: 6:44:48 batch_cost: 0.7724 data_cost: 0.0281 ips: 82.8571 images/s
[03/19 16:28:55] ppdet.engine INFO: Epoch: [238] [ 40/458] learning_rate: 0.032604 loss_vfl: 0.985830 loss_bbox: 0.447700 loss_dfl: 0.430620 loss: 1.867843 eta: 6:44:31 batch_cost: 0.9053 data_cost: 0.2358 ips: 70.6976 images/s
[03/19 16:29:15] ppdet.engine INFO: Epoch: [238] [ 60/458] learning_rate: 0.032560 loss_vfl: 1.025361 loss_bbox: 0.450480 loss_dfl: 0.430378 loss: 1.898536 eta: 6:44:14 batch_cost: 0.8588 data_cost: 0.2975 ips: 74.5265 images/s
[03/19 16:29:31] ppdet.engine INFO: Epoch: [238] [ 80/458] learning_rate: 0.032515 loss_vfl: 0.983975 loss_bbox: 0.432699 loss_dfl: 0.425225 loss: 1.847919 eta: 6:43:56 batch_cost: 0.6863 data_cost: 0.1611 ips: 93.2474 images/s
[03/19 16:29:46] ppdet.engine INFO: Epoch: [238] [100/458] learning_rate: 0.032471 loss_vfl: 0.960939 loss_bbox: 0.427491 loss_dfl: 0.404317 loss: 1.797479 eta: 6:43:38 batch_cost: 0.6622 data_cost: 0.2013 ips: 96.6495 images/s
[03/19 16:30:01] ppdet.engine INFO: Epoch: [238] [120/458] learning_rate: 0.032427 loss_vfl: 1.016249 loss_bbox: 0.463645 loss_dfl: 0.424233 loss: 1.878561 eta: 6:43:20 batch_cost: 0.6813 data_cost: 0.0685 ips: 93.9339 images/s
[03/19 16:30:20] ppdet.engine INFO: Epoch: [238] [140/458] learning_rate: 0.032383 loss_vfl: 0.973808 loss_bbox: 0.459140 loss_dfl: 0.417733 loss: 1.843619 eta: 6:43:02 batch_cost: 0.8239 data_cost: 0.1448 ips: 77.6773 images/s
[03/19 16:30:41] ppdet.engine INFO: Epoch: [238] [160/458] learning_rate: 0.032338 loss_vfl: 0.979936 loss_bbox: 0.446700 loss_dfl: 0.419014 loss: 1.856472 eta: 6:42:45 batch_cost: 0.8877 data_cost: 0.3942 ips: 72.0955 images/s
[03/19 16:31:00] ppdet.engine INFO: Epoch: [238] [180/458] learning_rate: 0.032294 loss_vfl: 0.974799 loss_bbox: 0.444743 loss_dfl: 0.403995 loss: 1.818025 eta: 6:42:28 batch_cost: 0.8434 data_cost: 0.4087 ips: 75.8806 images/s
[03/19 16:31:20] ppdet.engine INFO: Epoch: [238] [200/458] learning_rate: 0.032250 loss_vfl: 0.969295 loss_bbox: 0.444510 loss_dfl: 0.416104 loss: 1.825725 eta: 6:42:11 batch_cost: 0.8571 data_cost: 0.2729 ips: 74.6698 images/s
[03/19 16:31:39] ppdet.engine INFO: Epoch: [238] [220/458] learning_rate: 0.032206 loss_vfl: 1.058586 loss_bbox: 0.452669 loss_dfl: 0.446685 loss: 1.959708 eta: 6:41:54 batch_cost: 0.7946 data_cost: 0.2270 ips: 80.5481 images/s
[03/19 16:32:02] ppdet.engine INFO: Epoch: [238] [240/458] learning_rate: 0.032162 loss_vfl: 1.000630 loss_bbox: 0.448567 loss_dfl: 0.440452 loss: 1.885539 eta: 6:41:38 batch_cost: 1.0711 data_cost: 0.5975 ips: 59.7537 images/s
[03/19 16:32:22] ppdet.engine INFO: Epoch: [238] [260/458] learning_rate: 0.032118 loss_vfl: 1.053318 loss_bbox: 0.472279 loss_dfl: 0.444897 loss: 1.976413 eta: 6:41:21 batch_cost: 0.8817 data_cost: 0.3914 ips: 72.5876 images/s
[03/19 16:32:42] ppdet.engine INFO: Epoch: [238] [280/458] learning_rate: 0.032074 loss_vfl: 1.012581 loss_bbox: 0.468316 loss_dfl: 0.430901 loss: 1.913800 eta: 6:41:04 batch_cost: 0.8859 data_cost: 0.3549 ips: 72.2469 images/s
[03/19 16:33:02] ppdet.engine INFO: Epoch: [238] [300/458] learning_rate: 0.032030 loss_vfl: 1.023765 loss_bbox: 0.461001 loss_dfl: 0.432070 loss: 1.916053 eta: 6:40:47 batch_cost: 0.8546 data_cost: 0.2479 ips: 74.8888 images/s
[03/19 16:33:19] ppdet.engine INFO: Epoch: [238] [320/458] learning_rate: 0.031986 loss_vfl: 0.982738 loss_bbox: 0.440945 loss_dfl: 0.432361 loss: 1.886368 eta: 6:40:29 batch_cost: 0.7365 data_cost: 0.2338 ips: 86.9004 images/s
[03/19 16:33:41] ppdet.engine INFO: Epoch: [238] [340/458] learning_rate: 0.031942 loss_vfl: 1.036947 loss_bbox: 0.458152 loss_dfl: 0.443900 loss: 1.973401 eta: 6:40:12 batch_cost: 0.9792 data_cost: 0.3564 ips: 65.3601 images/s
[03/19 16:34:00] ppdet.engine INFO: Epoch: [238] [360/458] learning_rate: 0.031898 loss_vfl: 0.989068 loss_bbox: 0.446927 loss_dfl: 0.423489 loss: 1.869242 eta: 6:39:55 batch_cost: 0.8527 data_cost: 0.3312 ips: 75.0552 images/s
[03/19 16:34:20] ppdet.engine INFO: Epoch: [238] [380/458] learning_rate: 0.031854 loss_vfl: 0.985759 loss_bbox: 0.461200 loss_dfl: 0.424085 loss: 1.879662 eta: 6:39:38 batch_cost: 0.8365 data_cost: 0.3166 ips: 76.5089 images/s
[03/19 16:34:39] ppdet.engine INFO: Epoch: [238] [400/458] learning_rate: 0.031810 loss_vfl: 0.992071 loss_bbox: 0.468708 loss_dfl: 0.417962 loss: 1.880346 eta: 6:39:21 batch_cost: 0.8014 data_cost: 0.2249 ips: 79.8596 images/s
[03/19 16:34:59] ppdet.engine INFO: Epoch: [238] [420/458] learning_rate: 0.031766 loss_vfl: 0.974848 loss_bbox: 0.443897 loss_dfl: 0.419264 loss: 1.815132 eta: 6:39:04 batch_cost: 0.8839 data_cost: 0.3218 ips: 72.4048 images/s
[03/19 16:35:20] ppdet.engine INFO: Epoch: [238] [440/458] learning_rate: 0.031722 loss_vfl: 0.952666 loss_bbox: 0.422750 loss_dfl: 0.411835 loss: 1.804627 eta: 6:38:47 batch_cost: 0.9229 data_cost: 0.3715 ips: 69.3456 images/s
[03/19 16:35:41] ppdet.engine INFO: Epoch: [239] [  0/458] learning_rate: 0.031683 loss_vfl: 0.971033 loss_bbox: 0.440577 loss_dfl: 0.418889 loss: 1.854680 eta: 6:38:32 batch_cost: 1.0062 data_cost: 0.5463 ips: 63.6085 images/s
[03/19 16:36:02] ppdet.engine INFO: Epoch: [239] [ 20/458] learning_rate: 0.031639 loss_vfl: 0.963333 loss_bbox: 0.441151 loss_dfl: 0.416708 loss: 1.812917 eta: 6:38:15 batch_cost: 0.7928 data_cost: 0.0818 ips: 80.7297 images/s
[03/19 16:36:24] ppdet.engine INFO: Epoch: [239] [ 40/458] learning_rate: 0.031595 loss_vfl: 0.987839 loss_bbox: 0.446826 loss_dfl: 0.427832 loss: 1.862988 eta: 6:37:58 batch_cost: 0.9505 data_cost: 0.3874 ips: 67.3341 images/s
[03/19 16:36:41] ppdet.engine INFO: Epoch: [239] [ 60/458] learning_rate: 0.031551 loss_vfl: 1.046229 loss_bbox: 0.469034 loss_dfl: 0.425352 loss: 1.935538 eta: 6:37:40 batch_cost: 0.7204 data_cost: 0.0655 ips: 88.8343 images/s
[03/19 16:36:54] ppdet.engine INFO: Epoch: [239] [ 80/458] learning_rate: 0.031508 loss_vfl: 0.952373 loss_bbox: 0.422880 loss_dfl: 0.412848 loss: 1.813635 eta: 6:37:22 batch_cost: 0.5948 data_cost: 0.0032 ips: 107.5976 images/s
[03/19 16:37:11] ppdet.engine INFO: Epoch: [239] [100/458] learning_rate: 0.031464 loss_vfl: 0.980385 loss_bbox: 0.459824 loss_dfl: 0.414897 loss: 1.857503 eta: 6:37:04 batch_cost: 0.7768 data_cost: 0.0031 ips: 82.3848 images/s
[03/19 16:37:26] ppdet.engine INFO: Epoch: [239] [120/458] learning_rate: 0.031420 loss_vfl: 0.938329 loss_bbox: 0.443742 loss_dfl: 0.410841 loss: 1.794923 eta: 6:36:46 batch_cost: 0.6750 data_cost: 0.0039 ips: 94.8203 images/s
[03/19 16:37:45] ppdet.engine INFO: Epoch: [239] [140/458] learning_rate: 0.031377 loss_vfl: 0.996059 loss_bbox: 0.437265 loss_dfl: 0.403213 loss: 1.829857 eta: 6:36:29 batch_cost: 0.7679 data_cost: 0.0042 ips: 83.3477 images/s
[03/19 16:38:04] ppdet.engine INFO: Epoch: [239] [160/458] learning_rate: 0.031333 loss_vfl: 0.997316 loss_bbox: 0.441610 loss_dfl: 0.406993 loss: 1.880375 eta: 6:36:12 batch_cost: 0.8810 data_cost: 0.0120 ips: 72.6414 images/s
[03/19 16:38:25] ppdet.engine INFO: Epoch: [239] [180/458] learning_rate: 0.031290 loss_vfl: 1.024613 loss_bbox: 0.458315 loss_dfl: 0.433958 loss: 1.920367 eta: 6:35:55 batch_cost: 0.9105 data_cost: 0.2649 ips: 70.2948 images/s
[03/19 16:38:43] ppdet.engine INFO: Epoch: [239] [200/458] learning_rate: 0.031246 loss_vfl: 0.985599 loss_bbox: 0.452271 loss_dfl: 0.425415 loss: 1.870763 eta: 6:35:38 batch_cost: 0.8240 data_cost: 0.2205 ips: 77.6708 images/s
[03/19 16:39:03] ppdet.engine INFO: Epoch: [239] [220/458] learning_rate: 0.031202 loss_vfl: 1.016268 loss_bbox: 0.465755 loss_dfl: 0.435345 loss: 1.937978 eta: 6:35:21 batch_cost: 0.8486 data_cost: 0.2621 ips: 75.4208 images/s
[03/19 16:39:21] ppdet.engine INFO: Epoch: [239] [240/458] learning_rate: 0.031159 loss_vfl: 0.966654 loss_bbox: 0.436421 loss_dfl: 0.413721 loss: 1.821959 eta: 6:35:03 batch_cost: 0.7614 data_cost: 0.1441 ips: 84.0591 images/s
[03/19 16:39:42] ppdet.engine INFO: Epoch: [239] [260/458] learning_rate: 0.031116 loss_vfl: 1.005238 loss_bbox: 0.470145 loss_dfl: 0.433618 loss: 1.916680 eta: 6:34:46 batch_cost: 0.8862 data_cost: 0.0623 ips: 72.2160 images/s
[03/19 16:40:01] ppdet.engine INFO: Epoch: [239] [280/458] learning_rate: 0.031072 loss_vfl: 1.005407 loss_bbox: 0.472596 loss_dfl: 0.429959 loss: 1.908769 eta: 6:34:29 batch_cost: 0.8708 data_cost: 0.0018 ips: 73.4954 images/s
[03/19 16:40:21] ppdet.engine INFO: Epoch: [239] [300/458] learning_rate: 0.031029 loss_vfl: 0.982527 loss_bbox: 0.438610 loss_dfl: 0.418665 loss: 1.837161 eta: 6:34:12 batch_cost: 0.8743 data_cost: 0.0062 ips: 73.2054 images/s
[03/19 16:40:39] ppdet.engine INFO: Epoch: [239] [320/458] learning_rate: 0.030985 loss_vfl: 1.002481 loss_bbox: 0.468957 loss_dfl: 0.429356 loss: 1.886579 eta: 6:33:54 batch_cost: 0.7847 data_cost: 0.0038 ips: 81.5583 images/s
[03/19 16:40:59] ppdet.engine INFO: Epoch: [239] [340/458] learning_rate: 0.030942 loss_vfl: 0.981153 loss_bbox: 0.448055 loss_dfl: 0.412459 loss: 1.857630 eta: 6:33:37 batch_cost: 0.8777 data_cost: 0.0019 ips: 72.9178 images/s
[03/19 16:41:19] ppdet.engine INFO: Epoch: [239] [360/458] learning_rate: 0.030899 loss_vfl: 1.000913 loss_bbox: 0.449148 loss_dfl: 0.431416 loss: 1.880247 eta: 6:33:21 batch_cost: 0.9156 data_cost: 0.0027 ips: 69.9024 images/s
[03/19 16:41:38] ppdet.engine INFO: Epoch: [239] [380/458] learning_rate: 0.030855 loss_vfl: 0.987661 loss_bbox: 0.434953 loss_dfl: 0.423897 loss: 1.884044 eta: 6:33:03 batch_cost: 0.8170 data_cost: 0.0009 ips: 78.3343 images/s
[03/19 16:41:54] ppdet.engine INFO: Epoch: [239] [400/458] learning_rate: 0.030812 loss_vfl: 1.018794 loss_bbox: 0.443483 loss_dfl: 0.426563 loss: 1.889098 eta: 6:32:45 batch_cost: 0.6316 data_cost: 0.0036 ips: 101.3309 images/s
[03/19 16:42:16] ppdet.engine INFO: Epoch: [239] [420/458] learning_rate: 0.030769 loss_vfl: 1.020425 loss_bbox: 0.456148 loss_dfl: 0.429532 loss: 1.880645 eta: 6:32:28 batch_cost: 0.9590 data_cost: 0.3871 ips: 66.7394 images/s
[03/19 16:42:37] ppdet.engine INFO: Epoch: [239] [440/458] learning_rate: 0.030726 loss_vfl: 0.982785 loss_bbox: 0.420014 loss_dfl: 0.404909 loss: 1.808530 eta: 6:32:11 batch_cost: 0.8675 data_cost: 0.3180 ips: 73.7785 images/s
[03/19 16:42:49] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 16:42:49] ppdet.engine INFO: Eval iter: 0
[03/19 16:43:09] ppdet.engine INFO: Eval iter: 100
[03/19 16:43:18] ppdet.engine INFO: Eval iter: 200
[03/19 16:43:27] ppdet.engine INFO: Eval iter: 300
[03/19 16:43:37] ppdet.engine INFO: Eval iter: 400
[03/19 16:43:46] ppdet.engine INFO: Eval iter: 500
[03/19 16:43:55] ppdet.engine INFO: Eval iter: 600
[03/19 16:44:08] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.59s)
creating index...
index created!
[03/19 16:44:09] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.71s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=78.80s).
Accumulating evaluation results...
DONE (t=15.70s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.231
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.353
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.240
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.062
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.226
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.405
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.234
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.376
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.397
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.116
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.437
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.667
[03/19 16:45:50] ppdet.engine INFO: Total sample number: 4952, averge FPS: 73.03871413168788
[03/19 16:45:50] ppdet.engine INFO: Best test bbox ap is 0.231.
[03/19 16:45:50] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 16:45:50] ppdet.engine INFO: Epoch: [240] [  0/458] learning_rate: 0.030687 loss_vfl: 1.005837 loss_bbox: 0.454838 loss_dfl: 0.426218 loss: 1.875390 eta: 6:31:55 batch_cost: 0.6555 data_cost: 0.2482 ips: 97.6374 images/s
[03/19 16:46:08] ppdet.engine INFO: Epoch: [240] [ 20/458] learning_rate: 0.030644 loss_vfl: 1.006255 loss_bbox: 0.451286 loss_dfl: 0.430361 loss: 1.912598 eta: 6:31:37 batch_cost: 0.7579 data_cost: 0.0040 ips: 84.4457 images/s
[03/19 16:46:28] ppdet.engine INFO: Epoch: [240] [ 40/458] learning_rate: 0.030600 loss_vfl: 1.006555 loss_bbox: 0.458104 loss_dfl: 0.436670 loss: 1.920650 eta: 6:31:20 batch_cost: 0.9105 data_cost: 0.1077 ips: 70.2934 images/s
[03/19 16:46:48] ppdet.engine INFO: Epoch: [240] [ 60/458] learning_rate: 0.030557 loss_vfl: 0.976623 loss_bbox: 0.438297 loss_dfl: 0.416533 loss: 1.835181 eta: 6:31:03 batch_cost: 0.9356 data_cost: 0.0009 ips: 68.4050 images/s
[03/19 16:47:10] ppdet.engine INFO: Epoch: [240] [ 80/458] learning_rate: 0.030514 loss_vfl: 0.985765 loss_bbox: 0.450150 loss_dfl: 0.427002 loss: 1.865955 eta: 6:30:47 batch_cost: 0.9442 data_cost: 0.0003 ips: 67.7803 images/s
[03/19 16:47:30] ppdet.engine INFO: Epoch: [240] [100/458] learning_rate: 0.030471 loss_vfl: 1.033389 loss_bbox: 0.473568 loss_dfl: 0.437230 loss: 1.946932 eta: 6:30:30 batch_cost: 0.9223 data_cost: 0.0064 ips: 69.3915 images/s
[03/19 16:47:51] ppdet.engine INFO: Epoch: [240] [120/458] learning_rate: 0.030428 loss_vfl: 1.033957 loss_bbox: 0.454043 loss_dfl: 0.436173 loss: 1.916332 eta: 6:30:13 batch_cost: 0.9686 data_cost: 0.0014 ips: 66.0775 images/s
[03/19 16:48:13] ppdet.engine INFO: Epoch: [240] [140/458] learning_rate: 0.030385 loss_vfl: 1.003379 loss_bbox: 0.446034 loss_dfl: 0.418095 loss: 1.853485 eta: 6:29:57 batch_cost: 0.9996 data_cost: 0.0009 ips: 64.0237 images/s
[03/19 16:48:34] ppdet.engine INFO: Epoch: [240] [160/458] learning_rate: 0.030342 loss_vfl: 0.999384 loss_bbox: 0.448665 loss_dfl: 0.430957 loss: 1.879774 eta: 6:29:40 batch_cost: 0.9590 data_cost: 0.0116 ips: 66.7344 images/s
[03/19 16:48:53] ppdet.engine INFO: Epoch: [240] [180/458] learning_rate: 0.030299 loss_vfl: 1.005912 loss_bbox: 0.451651 loss_dfl: 0.421272 loss: 1.871521 eta: 6:29:23 batch_cost: 0.8280 data_cost: 0.0048 ips: 77.2973 images/s
[03/19 16:49:13] ppdet.engine INFO: Epoch: [240] [200/458] learning_rate: 0.030256 loss_vfl: 0.968511 loss_bbox: 0.435991 loss_dfl: 0.416821 loss: 1.843331 eta: 6:29:06 batch_cost: 0.9188 data_cost: 0.0010 ips: 69.6570 images/s
[03/19 16:49:33] ppdet.engine INFO: Epoch: [240] [220/458] learning_rate: 0.030213 loss_vfl: 0.999033 loss_bbox: 0.468232 loss_dfl: 0.442593 loss: 1.919121 eta: 6:28:49 batch_cost: 0.8603 data_cost: 0.0061 ips: 74.3911 images/s
[03/19 16:49:53] ppdet.engine INFO: Epoch: [240] [240/458] learning_rate: 0.030170 loss_vfl: 0.957825 loss_bbox: 0.443606 loss_dfl: 0.414609 loss: 1.820807 eta: 6:28:33 batch_cost: 0.9167 data_cost: 0.0043 ips: 69.8145 images/s
[03/19 16:50:15] ppdet.engine INFO: Epoch: [240] [260/458] learning_rate: 0.030128 loss_vfl: 1.026221 loss_bbox: 0.488155 loss_dfl: 0.434201 loss: 1.949703 eta: 6:28:16 batch_cost: 0.9856 data_cost: 0.0077 ips: 64.9359 images/s
[03/19 16:50:34] ppdet.engine INFO: Epoch: [240] [280/458] learning_rate: 0.030085 loss_vfl: 0.989354 loss_bbox: 0.470313 loss_dfl: 0.429734 loss: 1.886861 eta: 6:27:59 batch_cost: 0.8157 data_cost: 0.0012 ips: 78.4586 images/s
[03/19 16:50:48] ppdet.engine INFO: Epoch: [240] [300/458] learning_rate: 0.030042 loss_vfl: 1.003665 loss_bbox: 0.463206 loss_dfl: 0.442977 loss: 1.927639 eta: 6:27:40 batch_cost: 0.6129 data_cost: 0.0043 ips: 104.4258 images/s
[03/19 16:51:02] ppdet.engine INFO: Epoch: [240] [320/458] learning_rate: 0.029999 loss_vfl: 1.014659 loss_bbox: 0.463289 loss_dfl: 0.438936 loss: 1.917048 eta: 6:27:22 batch_cost: 0.6317 data_cost: 0.0055 ips: 101.3108 images/s
[03/19 16:51:22] ppdet.engine INFO: Epoch: [240] [340/458] learning_rate: 0.029957 loss_vfl: 1.097656 loss_bbox: 0.449819 loss_dfl: 0.437499 loss: 1.979084 eta: 6:27:05 batch_cost: 0.8914 data_cost: 0.0078 ips: 71.7995 images/s
[03/19 16:51:43] ppdet.engine INFO: Epoch: [240] [360/458] learning_rate: 0.029914 loss_vfl: 0.972442 loss_bbox: 0.444252 loss_dfl: 0.418480 loss: 1.824078 eta: 6:26:48 batch_cost: 0.9256 data_cost: 0.0019 ips: 69.1476 images/s
[03/19 16:52:04] ppdet.engine INFO: Epoch: [240] [380/458] learning_rate: 0.029871 loss_vfl: 0.955649 loss_bbox: 0.427331 loss_dfl: 0.404777 loss: 1.800695 eta: 6:26:32 batch_cost: 0.9203 data_cost: 0.0021 ips: 69.5443 images/s
[03/19 16:52:23] ppdet.engine INFO: Epoch: [240] [400/458] learning_rate: 0.029829 loss_vfl: 1.043574 loss_bbox: 0.478409 loss_dfl: 0.447568 loss: 1.955707 eta: 6:26:14 batch_cost: 0.8406 data_cost: 0.0017 ips: 76.1328 images/s
[03/19 16:52:45] ppdet.engine INFO: Epoch: [240] [420/458] learning_rate: 0.029786 loss_vfl: 1.015055 loss_bbox: 0.440077 loss_dfl: 0.428415 loss: 1.904514 eta: 6:25:58 batch_cost: 0.9799 data_cost: 0.0034 ips: 65.3154 images/s
[03/19 16:53:07] ppdet.engine INFO: Epoch: [240] [440/458] learning_rate: 0.029743 loss_vfl: 0.954516 loss_bbox: 0.429485 loss_dfl: 0.403113 loss: 1.778885 eta: 6:25:42 batch_cost: 0.9903 data_cost: 0.0050 ips: 64.6245 images/s
[03/19 16:53:27] ppdet.engine INFO: Epoch: [241] [  0/458] learning_rate: 0.029705 loss_vfl: 0.967758 loss_bbox: 0.438848 loss_dfl: 0.418824 loss: 1.809994 eta: 6:25:27 batch_cost: 0.9636 data_cost: 0.2706 ips: 66.4167 images/s
[03/19 16:53:46] ppdet.engine INFO: Epoch: [241] [ 20/458] learning_rate: 0.029662 loss_vfl: 1.049733 loss_bbox: 0.457050 loss_dfl: 0.444881 loss: 1.983648 eta: 6:25:09 batch_cost: 0.8099 data_cost: 0.0031 ips: 79.0178 images/s
[03/19 16:54:09] ppdet.engine INFO: Epoch: [241] [ 40/458] learning_rate: 0.029620 loss_vfl: 0.973716 loss_bbox: 0.452418 loss_dfl: 0.419688 loss: 1.857456 eta: 6:24:53 batch_cost: 1.0924 data_cost: 0.0052 ips: 58.5885 images/s
[03/19 16:54:30] ppdet.engine INFO: Epoch: [241] [ 60/458] learning_rate: 0.029577 loss_vfl: 1.053828 loss_bbox: 0.483685 loss_dfl: 0.451716 loss: 1.995072 eta: 6:24:37 batch_cost: 0.9444 data_cost: 0.0022 ips: 67.7712 images/s
[03/19 16:54:48] ppdet.engine INFO: Epoch: [241] [ 80/458] learning_rate: 0.029535 loss_vfl: 1.054923 loss_bbox: 0.471269 loss_dfl: 0.438361 loss: 1.980193 eta: 6:24:19 batch_cost: 0.7707 data_cost: 0.0010 ips: 83.0466 images/s
[03/19 16:55:09] ppdet.engine INFO: Epoch: [241] [100/458] learning_rate: 0.029493 loss_vfl: 0.991490 loss_bbox: 0.463113 loss_dfl: 0.428160 loss: 1.884851 eta: 6:24:02 batch_cost: 0.9559 data_cost: 0.0037 ips: 66.9494 images/s
[03/19 16:55:29] ppdet.engine INFO: Epoch: [241] [120/458] learning_rate: 0.029450 loss_vfl: 0.944416 loss_bbox: 0.458225 loss_dfl: 0.408267 loss: 1.803396 eta: 6:23:46 batch_cost: 0.9276 data_cost: 0.0018 ips: 68.9989 images/s
[03/19 16:55:50] ppdet.engine INFO: Epoch: [241] [140/458] learning_rate: 0.029408 loss_vfl: 0.982138 loss_bbox: 0.432079 loss_dfl: 0.422662 loss: 1.820859 eta: 6:23:29 batch_cost: 0.9002 data_cost: 0.0003 ips: 71.0991 images/s
[03/19 16:56:10] ppdet.engine INFO: Epoch: [241] [160/458] learning_rate: 0.029365 loss_vfl: 1.022792 loss_bbox: 0.464521 loss_dfl: 0.441644 loss: 1.920854 eta: 6:23:12 batch_cost: 0.8709 data_cost: 0.0079 ips: 73.4884 images/s
[03/19 16:56:32] ppdet.engine INFO: Epoch: [241] [180/458] learning_rate: 0.029323 loss_vfl: 0.928348 loss_bbox: 0.420616 loss_dfl: 0.399642 loss: 1.747631 eta: 6:22:55 batch_cost: 0.9766 data_cost: 0.0017 ips: 65.5310 images/s
[03/19 16:56:52] ppdet.engine INFO: Epoch: [241] [200/458] learning_rate: 0.029281 loss_vfl: 0.979158 loss_bbox: 0.433128 loss_dfl: 0.415428 loss: 1.832291 eta: 6:22:39 batch_cost: 0.9437 data_cost: 0.0021 ips: 67.8159 images/s
[03/19 16:57:10] ppdet.engine INFO: Epoch: [241] [220/458] learning_rate: 0.029239 loss_vfl: 1.015097 loss_bbox: 0.448926 loss_dfl: 0.428882 loss: 1.888000 eta: 6:22:21 batch_cost: 0.8038 data_cost: 0.0050 ips: 79.6238 images/s
[03/19 16:57:28] ppdet.engine INFO: Epoch: [241] [240/458] learning_rate: 0.029196 loss_vfl: 0.996160 loss_bbox: 0.447279 loss_dfl: 0.420818 loss: 1.884713 eta: 6:22:04 batch_cost: 0.8214 data_cost: 0.0040 ips: 77.9112 images/s
[03/19 16:57:44] ppdet.engine INFO: Epoch: [241] [260/458] learning_rate: 0.029154 loss_vfl: 1.031721 loss_bbox: 0.460217 loss_dfl: 0.437006 loss: 1.927742 eta: 6:21:46 batch_cost: 0.7229 data_cost: 0.0004 ips: 88.5287 images/s
[03/19 16:57:58] ppdet.engine INFO: Epoch: [241] [280/458] learning_rate: 0.029112 loss_vfl: 0.942868 loss_bbox: 0.417857 loss_dfl: 0.396665 loss: 1.748735 eta: 6:21:28 batch_cost: 0.6317 data_cost: 0.0068 ips: 101.3189 images/s
[03/19 16:58:16] ppdet.engine INFO: Epoch: [241] [300/458] learning_rate: 0.029070 loss_vfl: 0.988401 loss_bbox: 0.445090 loss_dfl: 0.421663 loss: 1.873584 eta: 6:21:11 batch_cost: 0.8310 data_cost: 0.0059 ips: 77.0114 images/s
[03/19 16:58:37] ppdet.engine INFO: Epoch: [241] [320/458] learning_rate: 0.029028 loss_vfl: 0.992611 loss_bbox: 0.457064 loss_dfl: 0.420235 loss: 1.855470 eta: 6:20:54 batch_cost: 0.9677 data_cost: 0.0007 ips: 66.1394 images/s
[03/19 16:58:58] ppdet.engine INFO: Epoch: [241] [340/458] learning_rate: 0.028985 loss_vfl: 0.993752 loss_bbox: 0.451365 loss_dfl: 0.422980 loss: 1.868762 eta: 6:20:37 batch_cost: 0.9111 data_cost: 0.0053 ips: 70.2437 images/s
[03/19 16:59:20] ppdet.engine INFO: Epoch: [241] [360/458] learning_rate: 0.028943 loss_vfl: 0.996170 loss_bbox: 0.434021 loss_dfl: 0.417629 loss: 1.845246 eta: 6:20:21 batch_cost: 1.0352 data_cost: 0.0021 ips: 61.8250 images/s
[03/19 16:59:39] ppdet.engine INFO: Epoch: [241] [380/458] learning_rate: 0.028901 loss_vfl: 0.973467 loss_bbox: 0.440125 loss_dfl: 0.414912 loss: 1.835786 eta: 6:20:04 batch_cost: 0.8543 data_cost: 0.0025 ips: 74.9157 images/s
[03/19 16:59:59] ppdet.engine INFO: Epoch: [241] [400/458] learning_rate: 0.028859 loss_vfl: 0.973199 loss_bbox: 0.433535 loss_dfl: 0.411102 loss: 1.817999 eta: 6:19:47 batch_cost: 0.9067 data_cost: 0.0005 ips: 70.5893 images/s
[03/19 17:00:19] ppdet.engine INFO: Epoch: [241] [420/458] learning_rate: 0.028817 loss_vfl: 1.027320 loss_bbox: 0.468188 loss_dfl: 0.440093 loss: 1.946599 eta: 6:19:30 batch_cost: 0.9374 data_cost: 0.0054 ips: 68.2729 images/s
[03/19 17:00:38] ppdet.engine INFO: Epoch: [241] [440/458] learning_rate: 0.028775 loss_vfl: 0.959984 loss_bbox: 0.439155 loss_dfl: 0.411493 loss: 1.806965 eta: 6:19:13 batch_cost: 0.8356 data_cost: 0.0018 ips: 76.5882 images/s
[03/19 17:01:01] ppdet.engine INFO: Epoch: [242] [  0/458] learning_rate: 0.028738 loss_vfl: 1.014574 loss_bbox: 0.448977 loss_dfl: 0.426775 loss: 1.895964 eta: 6:18:59 batch_cost: 1.1039 data_cost: 0.4112 ips: 57.9757 images/s
[03/19 17:01:21] ppdet.engine INFO: Epoch: [242] [ 20/458] learning_rate: 0.028696 loss_vfl: 0.972989 loss_bbox: 0.458079 loss_dfl: 0.425674 loss: 1.873744 eta: 6:18:42 batch_cost: 0.8774 data_cost: 0.2252 ips: 72.9391 images/s
[03/19 17:01:40] ppdet.engine INFO: Epoch: [242] [ 40/458] learning_rate: 0.028654 loss_vfl: 1.000307 loss_bbox: 0.450706 loss_dfl: 0.424026 loss: 1.881465 eta: 6:18:24 batch_cost: 0.8087 data_cost: 0.2972 ips: 79.1436 images/s
[03/19 17:01:59] ppdet.engine INFO: Epoch: [242] [ 60/458] learning_rate: 0.028612 loss_vfl: 0.970854 loss_bbox: 0.426933 loss_dfl: 0.417230 loss: 1.823252 eta: 6:18:07 batch_cost: 0.8571 data_cost: 0.2224 ips: 74.6670 images/s
[03/19 17:02:18] ppdet.engine INFO: Epoch: [242] [ 80/458] learning_rate: 0.028570 loss_vfl: 0.961527 loss_bbox: 0.425818 loss_dfl: 0.408756 loss: 1.810049 eta: 6:17:50 batch_cost: 0.7923 data_cost: 0.0359 ips: 80.7748 images/s
[03/19 17:02:38] ppdet.engine INFO: Epoch: [242] [100/458] learning_rate: 0.028528 loss_vfl: 1.036721 loss_bbox: 0.464910 loss_dfl: 0.441347 loss: 1.965555 eta: 6:17:33 batch_cost: 0.8526 data_cost: 0.0025 ips: 75.0651 images/s
[03/19 17:02:58] ppdet.engine INFO: Epoch: [242] [120/458] learning_rate: 0.028487 loss_vfl: 1.015596 loss_bbox: 0.456805 loss_dfl: 0.432517 loss: 1.922211 eta: 6:17:16 batch_cost: 0.8665 data_cost: 0.0783 ips: 73.8612 images/s
[03/19 17:03:18] ppdet.engine INFO: Epoch: [242] [140/458] learning_rate: 0.028445 loss_vfl: 0.987522 loss_bbox: 0.445530 loss_dfl: 0.416435 loss: 1.880245 eta: 6:16:59 batch_cost: 0.8945 data_cost: 0.1098 ips: 71.5481 images/s
[03/19 17:03:38] ppdet.engine INFO: Epoch: [242] [160/458] learning_rate: 0.028403 loss_vfl: 0.986511 loss_bbox: 0.441606 loss_dfl: 0.419655 loss: 1.846308 eta: 6:16:42 batch_cost: 0.8859 data_cost: 0.0015 ips: 72.2393 images/s
[03/19 17:03:56] ppdet.engine INFO: Epoch: [242] [180/458] learning_rate: 0.028361 loss_vfl: 0.933389 loss_bbox: 0.425325 loss_dfl: 0.399974 loss: 1.735411 eta: 6:16:24 batch_cost: 0.8070 data_cost: 0.0064 ips: 79.3026 images/s
[03/19 17:04:16] ppdet.engine INFO: Epoch: [242] [200/458] learning_rate: 0.028320 loss_vfl: 0.997558 loss_bbox: 0.453129 loss_dfl: 0.426049 loss: 1.863254 eta: 6:16:07 batch_cost: 0.8587 data_cost: 0.0023 ips: 74.5291 images/s
[03/19 17:04:33] ppdet.engine INFO: Epoch: [242] [220/458] learning_rate: 0.028278 loss_vfl: 1.034557 loss_bbox: 0.449726 loss_dfl: 0.430754 loss: 1.918016 eta: 6:15:49 batch_cost: 0.6632 data_cost: 0.0023 ips: 96.5010 images/s
[03/19 17:04:50] ppdet.engine INFO: Epoch: [242] [240/458] learning_rate: 0.028236 loss_vfl: 0.972319 loss_bbox: 0.450822 loss_dfl: 0.417446 loss: 1.825727 eta: 6:15:31 batch_cost: 0.7381 data_cost: 0.2303 ips: 86.7085 images/s
[03/19 17:05:02] ppdet.engine INFO: Epoch: [242] [260/458] learning_rate: 0.028195 loss_vfl: 0.980919 loss_bbox: 0.445837 loss_dfl: 0.426056 loss: 1.874384 eta: 6:15:13 batch_cost: 0.5438 data_cost: 0.0531 ips: 117.7002 images/s
[03/19 17:05:22] ppdet.engine INFO: Epoch: [242] [280/458] learning_rate: 0.028153 loss_vfl: 1.029738 loss_bbox: 0.471457 loss_dfl: 0.436602 loss: 1.920783 eta: 6:14:56 batch_cost: 0.8611 data_cost: 0.1197 ips: 74.3203 images/s
[03/19 17:05:42] ppdet.engine INFO: Epoch: [242] [300/458] learning_rate: 0.028112 loss_vfl: 0.978676 loss_bbox: 0.450649 loss_dfl: 0.421784 loss: 1.838795 eta: 6:14:39 batch_cost: 0.8976 data_cost: 0.2563 ips: 71.3049 images/s
[03/19 17:06:02] ppdet.engine INFO: Epoch: [242] [320/458] learning_rate: 0.028070 loss_vfl: 1.057524 loss_bbox: 0.476371 loss_dfl: 0.451086 loss: 1.969478 eta: 6:14:22 batch_cost: 0.8706 data_cost: 0.3003 ips: 73.5139 images/s
[03/19 17:06:21] ppdet.engine INFO: Epoch: [242] [340/458] learning_rate: 0.028029 loss_vfl: 0.999705 loss_bbox: 0.481974 loss_dfl: 0.434293 loss: 1.922124 eta: 6:14:05 batch_cost: 0.8292 data_cost: 0.0541 ips: 77.1784 images/s
[03/19 17:06:40] ppdet.engine INFO: Epoch: [242] [360/458] learning_rate: 0.027987 loss_vfl: 1.017260 loss_bbox: 0.452463 loss_dfl: 0.430167 loss: 1.897723 eta: 6:13:47 batch_cost: 0.8006 data_cost: 0.0015 ips: 79.9422 images/s
[03/19 17:07:01] ppdet.engine INFO: Epoch: [242] [380/458] learning_rate: 0.027946 loss_vfl: 0.988594 loss_bbox: 0.441513 loss_dfl: 0.424570 loss: 1.857686 eta: 6:13:30 batch_cost: 0.9326 data_cost: 0.0041 ips: 68.6222 images/s
[03/19 17:07:18] ppdet.engine INFO: Epoch: [242] [400/458] learning_rate: 0.027905 loss_vfl: 1.039155 loss_bbox: 0.450209 loss_dfl: 0.432141 loss: 1.954205 eta: 6:13:13 batch_cost: 0.7427 data_cost: 0.0420 ips: 86.1753 images/s
[03/19 17:07:38] ppdet.engine INFO: Epoch: [242] [420/458] learning_rate: 0.027863 loss_vfl: 1.036375 loss_bbox: 0.461150 loss_dfl: 0.439089 loss: 1.923924 eta: 6:12:56 batch_cost: 0.8672 data_cost: 0.1144 ips: 73.8044 images/s
[03/19 17:07:57] ppdet.engine INFO: Epoch: [242] [440/458] learning_rate: 0.027822 loss_vfl: 1.020313 loss_bbox: 0.448224 loss_dfl: 0.432416 loss: 1.914454 eta: 6:12:39 batch_cost: 0.8431 data_cost: 0.2427 ips: 75.9137 images/s
[03/19 17:08:19] ppdet.engine INFO: Epoch: [243] [  0/458] learning_rate: 0.027785 loss_vfl: 1.008883 loss_bbox: 0.475186 loss_dfl: 0.431374 loss: 1.911174 eta: 6:12:24 batch_cost: 1.0092 data_cost: 0.4968 ips: 63.4165 images/s
[03/19 17:08:40] ppdet.engine INFO: Epoch: [243] [ 20/458] learning_rate: 0.027743 loss_vfl: 1.018362 loss_bbox: 0.455668 loss_dfl: 0.424565 loss: 1.912152 eta: 6:12:07 batch_cost: 0.8776 data_cost: 0.0080 ips: 72.9245 images/s
[03/19 17:08:58] ppdet.engine INFO: Epoch: [243] [ 40/458] learning_rate: 0.027702 loss_vfl: 1.039055 loss_bbox: 0.466169 loss_dfl: 0.439754 loss: 1.946321 eta: 6:11:49 batch_cost: 0.7290 data_cost: 0.0006 ips: 87.7932 images/s
[03/19 17:09:20] ppdet.engine INFO: Epoch: [243] [ 60/458] learning_rate: 0.027661 loss_vfl: 0.984480 loss_bbox: 0.448357 loss_dfl: 0.416127 loss: 1.826652 eta: 6:11:33 batch_cost: 0.9912 data_cost: 0.0035 ips: 64.5676 images/s
[03/19 17:09:38] ppdet.engine INFO: Epoch: [243] [ 80/458] learning_rate: 0.027620 loss_vfl: 1.000855 loss_bbox: 0.454126 loss_dfl: 0.432848 loss: 1.893678 eta: 6:11:15 batch_cost: 0.7723 data_cost: 0.0098 ips: 82.8649 images/s
[03/19 17:09:56] ppdet.engine INFO: Epoch: [243] [100/458] learning_rate: 0.027579 loss_vfl: 1.027484 loss_bbox: 0.473298 loss_dfl: 0.438174 loss: 1.912853 eta: 6:10:58 batch_cost: 0.7668 data_cost: 0.0061 ips: 83.4674 images/s
[03/19 17:10:16] ppdet.engine INFO: Epoch: [243] [120/458] learning_rate: 0.027537 loss_vfl: 1.048832 loss_bbox: 0.476822 loss_dfl: 0.440422 loss: 1.951425 eta: 6:10:41 batch_cost: 0.9013 data_cost: 0.0042 ips: 71.0072 images/s
[03/19 17:10:37] ppdet.engine INFO: Epoch: [243] [140/458] learning_rate: 0.027496 loss_vfl: 0.939655 loss_bbox: 0.427186 loss_dfl: 0.394878 loss: 1.761526 eta: 6:10:24 batch_cost: 0.9265 data_cost: 0.0042 ips: 69.0768 images/s
[03/19 17:10:57] ppdet.engine INFO: Epoch: [243] [160/458] learning_rate: 0.027455 loss_vfl: 1.044094 loss_bbox: 0.486195 loss_dfl: 0.444642 loss: 1.951522 eta: 6:10:07 batch_cost: 0.9197 data_cost: 0.0094 ips: 69.5875 images/s
[03/19 17:11:17] ppdet.engine INFO: Epoch: [243] [180/458] learning_rate: 0.027414 loss_vfl: 1.047325 loss_bbox: 0.492372 loss_dfl: 0.438975 loss: 1.966587 eta: 6:09:50 batch_cost: 0.8882 data_cost: 0.0006 ips: 72.0526 images/s
[03/19 17:11:36] ppdet.engine INFO: Epoch: [243] [200/458] learning_rate: 0.027373 loss_vfl: 0.992420 loss_bbox: 0.426660 loss_dfl: 0.415787 loss: 1.840739 eta: 6:09:33 batch_cost: 0.8040 data_cost: 0.0033 ips: 79.6023 images/s
[03/19 17:11:52] ppdet.engine INFO: Epoch: [243] [220/458] learning_rate: 0.027332 loss_vfl: 1.050651 loss_bbox: 0.469219 loss_dfl: 0.457532 loss: 1.965982 eta: 6:09:15 batch_cost: 0.7059 data_cost: 0.0124 ips: 90.6708 images/s
[03/19 17:12:07] ppdet.engine INFO: Epoch: [243] [240/458] learning_rate: 0.027291 loss_vfl: 0.998369 loss_bbox: 0.458430 loss_dfl: 0.425407 loss: 1.886094 eta: 6:08:57 batch_cost: 0.6443 data_cost: 0.0046 ips: 99.3307 images/s
[03/19 17:12:26] ppdet.engine INFO: Epoch: [243] [260/458] learning_rate: 0.027250 loss_vfl: 0.973278 loss_bbox: 0.421789 loss_dfl: 0.415577 loss: 1.831515 eta: 6:08:40 batch_cost: 0.8367 data_cost: 0.0031 ips: 76.4879 images/s
[03/19 17:12:46] ppdet.engine INFO: Epoch: [243] [280/458] learning_rate: 0.027209 loss_vfl: 1.012423 loss_bbox: 0.450958 loss_dfl: 0.430926 loss: 1.896357 eta: 6:08:23 batch_cost: 0.8945 data_cost: 0.0037 ips: 71.5472 images/s
[03/19 17:13:05] ppdet.engine INFO: Epoch: [243] [300/458] learning_rate: 0.027168 loss_vfl: 1.017960 loss_bbox: 0.466607 loss_dfl: 0.429256 loss: 1.882914 eta: 6:08:06 batch_cost: 0.8324 data_cost: 0.0039 ips: 76.8842 images/s
[03/19 17:13:25] ppdet.engine INFO: Epoch: [243] [320/458] learning_rate: 0.027128 loss_vfl: 0.942732 loss_bbox: 0.430175 loss_dfl: 0.400909 loss: 1.788327 eta: 6:07:49 batch_cost: 0.8948 data_cost: 0.0025 ips: 71.5270 images/s
[03/19 17:13:44] ppdet.engine INFO: Epoch: [243] [340/458] learning_rate: 0.027087 loss_vfl: 0.965744 loss_bbox: 0.446060 loss_dfl: 0.415045 loss: 1.806809 eta: 6:07:31 batch_cost: 0.8326 data_cost: 0.0066 ips: 76.8684 images/s
[03/19 17:14:03] ppdet.engine INFO: Epoch: [243] [360/458] learning_rate: 0.027046 loss_vfl: 0.980901 loss_bbox: 0.460732 loss_dfl: 0.423738 loss: 1.848219 eta: 6:07:14 batch_cost: 0.8718 data_cost: 0.0011 ips: 73.4077 images/s
[03/19 17:14:22] ppdet.engine INFO: Epoch: [243] [380/458] learning_rate: 0.027005 loss_vfl: 0.946152 loss_bbox: 0.426120 loss_dfl: 0.404912 loss: 1.777792 eta: 6:06:57 batch_cost: 0.7904 data_cost: 0.0086 ips: 80.9670 images/s
[03/19 17:14:41] ppdet.engine INFO: Epoch: [243] [400/458] learning_rate: 0.026964 loss_vfl: 1.023090 loss_bbox: 0.450388 loss_dfl: 0.428583 loss: 1.921107 eta: 6:06:40 batch_cost: 0.8202 data_cost: 0.0023 ips: 78.0308 images/s
[03/19 17:15:03] ppdet.engine INFO: Epoch: [243] [420/458] learning_rate: 0.026924 loss_vfl: 0.991459 loss_bbox: 0.434195 loss_dfl: 0.415597 loss: 1.865497 eta: 6:06:23 batch_cost: 0.9709 data_cost: 0.0081 ips: 65.9162 images/s
[03/19 17:15:22] ppdet.engine INFO: Epoch: [243] [440/458] learning_rate: 0.026883 loss_vfl: 0.987939 loss_bbox: 0.438633 loss_dfl: 0.414207 loss: 1.844670 eta: 6:06:06 batch_cost: 0.8426 data_cost: 0.0023 ips: 75.9515 images/s
[03/19 17:15:43] ppdet.engine INFO: Epoch: [244] [  0/458] learning_rate: 0.026846 loss_vfl: 0.993269 loss_bbox: 0.445159 loss_dfl: 0.414715 loss: 1.846454 eta: 6:05:51 batch_cost: 0.9481 data_cost: 0.2566 ips: 67.5027 images/s
[03/19 17:16:00] ppdet.engine INFO: Epoch: [244] [ 20/458] learning_rate: 0.026806 loss_vfl: 1.013630 loss_bbox: 0.449258 loss_dfl: 0.431933 loss: 1.895640 eta: 6:05:33 batch_cost: 0.7559 data_cost: 0.1020 ips: 84.6722 images/s
[03/19 17:16:22] ppdet.engine INFO: Epoch: [244] [ 40/458] learning_rate: 0.026765 loss_vfl: 0.996331 loss_bbox: 0.460630 loss_dfl: 0.421974 loss: 1.846684 eta: 6:05:17 batch_cost: 0.9513 data_cost: 0.0718 ips: 67.2782 images/s
[03/19 17:16:40] ppdet.engine INFO: Epoch: [244] [ 60/458] learning_rate: 0.026724 loss_vfl: 0.982945 loss_bbox: 0.451195 loss_dfl: 0.424489 loss: 1.849542 eta: 6:04:59 batch_cost: 0.7893 data_cost: 0.0017 ips: 81.0884 images/s
[03/19 17:17:01] ppdet.engine INFO: Epoch: [244] [ 80/458] learning_rate: 0.026684 loss_vfl: 1.024333 loss_bbox: 0.482036 loss_dfl: 0.439046 loss: 1.947009 eta: 6:04:42 batch_cost: 0.8507 data_cost: 0.0022 ips: 75.2315 images/s
[03/19 17:17:19] ppdet.engine INFO: Epoch: [244] [100/458] learning_rate: 0.026643 loss_vfl: 1.022384 loss_bbox: 0.466048 loss_dfl: 0.441275 loss: 1.942351 eta: 6:04:25 batch_cost: 0.8162 data_cost: 0.0024 ips: 78.4111 images/s
[03/19 17:17:37] ppdet.engine INFO: Epoch: [244] [120/458] learning_rate: 0.026603 loss_vfl: 0.971852 loss_bbox: 0.430298 loss_dfl: 0.420271 loss: 1.843861 eta: 6:04:08 batch_cost: 0.8173 data_cost: 0.0983 ips: 78.3104 images/s
[03/19 17:17:58] ppdet.engine INFO: Epoch: [244] [140/458] learning_rate: 0.026562 loss_vfl: 0.989697 loss_bbox: 0.435134 loss_dfl: 0.417811 loss: 1.857637 eta: 6:03:51 batch_cost: 0.8925 data_cost: 0.1690 ips: 71.7054 images/s
[03/19 17:18:19] ppdet.engine INFO: Epoch: [244] [160/458] learning_rate: 0.026522 loss_vfl: 1.005752 loss_bbox: 0.449985 loss_dfl: 0.424767 loss: 1.876912 eta: 6:03:34 batch_cost: 0.9606 data_cost: 0.0027 ips: 66.6283 images/s
[03/19 17:18:40] ppdet.engine INFO: Epoch: [244] [180/458] learning_rate: 0.026482 loss_vfl: 1.017895 loss_bbox: 0.442120 loss_dfl: 0.420170 loss: 1.864895 eta: 6:03:17 batch_cost: 0.9220 data_cost: 0.3096 ips: 69.4134 images/s
[03/19 17:18:54] ppdet.engine INFO: Epoch: [244] [200/458] learning_rate: 0.026441 loss_vfl: 0.982348 loss_bbox: 0.461575 loss_dfl: 0.430093 loss: 1.866171 eta: 6:02:59 batch_cost: 0.6040 data_cost: 0.0900 ips: 105.9557 images/s
[03/19 17:19:11] ppdet.engine INFO: Epoch: [244] [220/458] learning_rate: 0.026401 loss_vfl: 1.033362 loss_bbox: 0.464945 loss_dfl: 0.430730 loss: 1.915720 eta: 6:02:41 batch_cost: 0.7443 data_cost: 0.2890 ips: 85.9908 images/s
[03/19 17:19:26] ppdet.engine INFO: Epoch: [244] [240/458] learning_rate: 0.026360 loss_vfl: 0.984112 loss_bbox: 0.443299 loss_dfl: 0.415124 loss: 1.848532 eta: 6:02:24 batch_cost: 0.7055 data_cost: 0.1278 ips: 90.7143 images/s
[03/19 17:19:45] ppdet.engine INFO: Epoch: [244] [260/458] learning_rate: 0.026320 loss_vfl: 1.012006 loss_bbox: 0.453401 loss_dfl: 0.432370 loss: 1.918524 eta: 6:02:06 batch_cost: 0.7744 data_cost: 0.0511 ips: 82.6497 images/s
[03/19 17:20:04] ppdet.engine INFO: Epoch: [244] [280/458] learning_rate: 0.026280 loss_vfl: 0.953835 loss_bbox: 0.431460 loss_dfl: 0.418332 loss: 1.839213 eta: 6:01:49 batch_cost: 0.8233 data_cost: 0.1448 ips: 77.7325 images/s
[03/19 17:20:24] ppdet.engine INFO: Epoch: [244] [300/458] learning_rate: 0.026240 loss_vfl: 1.030297 loss_bbox: 0.483890 loss_dfl: 0.442762 loss: 1.953792 eta: 6:01:32 batch_cost: 0.8903 data_cost: 0.1296 ips: 71.8855 images/s
[03/19 17:20:44] ppdet.engine INFO: Epoch: [244] [320/458] learning_rate: 0.026199 loss_vfl: 1.006853 loss_bbox: 0.428617 loss_dfl: 0.422658 loss: 1.847690 eta: 6:01:14 batch_cost: 0.7962 data_cost: 0.0061 ips: 80.3795 images/s
[03/19 17:21:03] ppdet.engine INFO: Epoch: [244] [340/458] learning_rate: 0.026159 loss_vfl: 1.013427 loss_bbox: 0.460794 loss_dfl: 0.438803 loss: 1.912313 eta: 6:00:57 batch_cost: 0.8667 data_cost: 0.0019 ips: 73.8462 images/s
[03/19 17:21:23] ppdet.engine INFO: Epoch: [244] [360/458] learning_rate: 0.026119 loss_vfl: 0.938331 loss_bbox: 0.419248 loss_dfl: 0.399081 loss: 1.744974 eta: 6:00:40 batch_cost: 0.9055 data_cost: 0.0029 ips: 70.6763 images/s
[03/19 17:21:42] ppdet.engine INFO: Epoch: [244] [380/458] learning_rate: 0.026079 loss_vfl: 0.991550 loss_bbox: 0.471637 loss_dfl: 0.428204 loss: 1.888322 eta: 6:00:23 batch_cost: 0.8415 data_cost: 0.1900 ips: 76.0544 images/s
[03/19 17:22:03] ppdet.engine INFO: Epoch: [244] [400/458] learning_rate: 0.026039 loss_vfl: 1.003845 loss_bbox: 0.452538 loss_dfl: 0.423038 loss: 1.878469 eta: 6:00:06 batch_cost: 0.9115 data_cost: 0.3211 ips: 70.2162 images/s
[03/19 17:22:21] ppdet.engine INFO: Epoch: [244] [420/458] learning_rate: 0.025999 loss_vfl: 1.006711 loss_bbox: 0.439138 loss_dfl: 0.416905 loss: 1.867228 eta: 5:59:49 batch_cost: 0.7928 data_cost: 0.2527 ips: 80.7226 images/s
[03/19 17:22:40] ppdet.engine INFO: Epoch: [244] [440/458] learning_rate: 0.025959 loss_vfl: 1.029216 loss_bbox: 0.440492 loss_dfl: 0.425174 loss: 1.897515 eta: 5:59:32 batch_cost: 0.8429 data_cost: 0.1434 ips: 75.9267 images/s
[03/19 17:23:02] ppdet.engine INFO: Epoch: [245] [  0/458] learning_rate: 0.025923 loss_vfl: 1.041749 loss_bbox: 0.439208 loss_dfl: 0.442177 loss: 1.922163 eta: 5:59:17 batch_cost: 1.0432 data_cost: 0.4021 ips: 61.3524 images/s
[03/19 17:23:22] ppdet.engine INFO: Epoch: [245] [ 20/458] learning_rate: 0.025883 loss_vfl: 1.008581 loss_bbox: 0.435762 loss_dfl: 0.424262 loss: 1.864002 eta: 5:59:00 batch_cost: 0.7355 data_cost: 0.0851 ips: 87.0195 images/s
[03/19 17:23:43] ppdet.engine INFO: Epoch: [245] [ 40/458] learning_rate: 0.025843 loss_vfl: 0.998077 loss_bbox: 0.441748 loss_dfl: 0.410924 loss: 1.856196 eta: 5:58:43 batch_cost: 0.9006 data_cost: 0.1243 ips: 71.0611 images/s
[03/19 17:24:05] ppdet.engine INFO: Epoch: [245] [ 60/458] learning_rate: 0.025803 loss_vfl: 1.092210 loss_bbox: 0.494164 loss_dfl: 0.457417 loss: 2.049759 eta: 5:58:26 batch_cost: 0.9974 data_cost: 0.3598 ips: 64.1675 images/s
[03/19 17:24:22] ppdet.engine INFO: Epoch: [245] [ 80/458] learning_rate: 0.025763 loss_vfl: 0.975326 loss_bbox: 0.460257 loss_dfl: 0.426240 loss: 1.874069 eta: 5:58:09 batch_cost: 0.7243 data_cost: 0.0925 ips: 88.3570 images/s
[03/19 17:24:42] ppdet.engine INFO: Epoch: [245] [100/458] learning_rate: 0.025723 loss_vfl: 0.985935 loss_bbox: 0.454943 loss_dfl: 0.424426 loss: 1.864307 eta: 5:57:52 batch_cost: 0.8701 data_cost: 0.2047 ips: 73.5565 images/s
[03/19 17:25:03] ppdet.engine INFO: Epoch: [245] [120/458] learning_rate: 0.025683 loss_vfl: 1.011503 loss_bbox: 0.474787 loss_dfl: 0.438753 loss: 1.915352 eta: 5:57:35 batch_cost: 0.9258 data_cost: 0.2703 ips: 69.1304 images/s
[03/19 17:25:22] ppdet.engine INFO: Epoch: [245] [140/458] learning_rate: 0.025643 loss_vfl: 0.997170 loss_bbox: 0.445889 loss_dfl: 0.419603 loss: 1.870736 eta: 5:57:18 batch_cost: 0.8464 data_cost: 0.2768 ips: 75.6127 images/s
[03/19 17:25:42] ppdet.engine INFO: Epoch: [245] [160/458] learning_rate: 0.025603 loss_vfl: 0.990343 loss_bbox: 0.450894 loss_dfl: 0.428936 loss: 1.898106 eta: 5:57:00 batch_cost: 0.8309 data_cost: 0.3109 ips: 77.0295 images/s
[03/19 17:26:01] ppdet.engine INFO: Epoch: [245] [180/458] learning_rate: 0.025564 loss_vfl: 1.022842 loss_bbox: 0.446212 loss_dfl: 0.424369 loss: 1.873916 eta: 5:56:43 batch_cost: 0.8148 data_cost: 0.1457 ips: 78.5467 images/s
[03/19 17:26:16] ppdet.engine INFO: Epoch: [245] [200/458] learning_rate: 0.025524 loss_vfl: 1.016268 loss_bbox: 0.449892 loss_dfl: 0.428442 loss: 1.891945 eta: 5:56:25 batch_cost: 0.6379 data_cost: 0.1678 ips: 100.3268 images/s
[03/19 17:26:30] ppdet.engine INFO: Epoch: [245] [220/458] learning_rate: 0.025484 loss_vfl: 0.962050 loss_bbox: 0.442503 loss_dfl: 0.418473 loss: 1.843879 eta: 5:56:07 batch_cost: 0.6395 data_cost: 0.2128 ips: 100.0710 images/s
[03/19 17:26:49] ppdet.engine INFO: Epoch: [245] [240/458] learning_rate: 0.025445 loss_vfl: 0.982205 loss_bbox: 0.429488 loss_dfl: 0.407829 loss: 1.819556 eta: 5:55:50 batch_cost: 0.8804 data_cost: 0.3765 ips: 72.6938 images/s
[03/19 17:27:08] ppdet.engine INFO: Epoch: [245] [260/458] learning_rate: 0.025405 loss_vfl: 1.036186 loss_bbox: 0.470015 loss_dfl: 0.445430 loss: 1.932898 eta: 5:55:33 batch_cost: 0.7895 data_cost: 0.0958 ips: 81.0631 images/s
[03/19 17:27:28] ppdet.engine INFO: Epoch: [245] [280/458] learning_rate: 0.025365 loss_vfl: 1.015107 loss_bbox: 0.435867 loss_dfl: 0.417924 loss: 1.879099 eta: 5:55:15 batch_cost: 0.8046 data_cost: 0.2624 ips: 79.5427 images/s
[03/19 17:27:50] ppdet.engine INFO: Epoch: [245] [300/458] learning_rate: 0.025326 loss_vfl: 0.991959 loss_bbox: 0.465018 loss_dfl: 0.423955 loss: 1.899367 eta: 5:54:59 batch_cost: 0.9638 data_cost: 0.0074 ips: 66.4046 images/s
[03/19 17:28:09] ppdet.engine INFO: Epoch: [245] [320/458] learning_rate: 0.025286 loss_vfl: 1.018624 loss_bbox: 0.450619 loss_dfl: 0.427217 loss: 1.903294 eta: 5:54:41 batch_cost: 0.8311 data_cost: 0.0155 ips: 77.0057 images/s
[03/19 17:28:28] ppdet.engine INFO: Epoch: [245] [340/458] learning_rate: 0.025246 loss_vfl: 0.964383 loss_bbox: 0.423893 loss_dfl: 0.403714 loss: 1.817866 eta: 5:54:24 batch_cost: 0.7962 data_cost: 0.0946 ips: 80.3797 images/s
[03/19 17:28:44] ppdet.engine INFO: Epoch: [245] [360/458] learning_rate: 0.025207 loss_vfl: 0.971098 loss_bbox: 0.432362 loss_dfl: 0.426855 loss: 1.822532 eta: 5:54:06 batch_cost: 0.7245 data_cost: 0.1719 ips: 88.3404 images/s
[03/19 17:29:06] ppdet.engine INFO: Epoch: [245] [380/458] learning_rate: 0.025167 loss_vfl: 0.972007 loss_bbox: 0.438088 loss_dfl: 0.414148 loss: 1.809055 eta: 5:53:49 batch_cost: 0.9022 data_cost: 0.3371 ips: 70.9347 images/s
[03/19 17:29:26] ppdet.engine INFO: Epoch: [245] [400/458] learning_rate: 0.025128 loss_vfl: 1.010780 loss_bbox: 0.463737 loss_dfl: 0.422017 loss: 1.886236 eta: 5:53:32 batch_cost: 0.8823 data_cost: 0.2342 ips: 72.5396 images/s
[03/19 17:29:44] ppdet.engine INFO: Epoch: [245] [420/458] learning_rate: 0.025089 loss_vfl: 0.952632 loss_bbox: 0.438298 loss_dfl: 0.410484 loss: 1.773736 eta: 5:53:15 batch_cost: 0.7332 data_cost: 0.1371 ips: 87.2917 images/s
[03/19 17:30:03] ppdet.engine INFO: Epoch: [245] [440/458] learning_rate: 0.025049 loss_vfl: 1.015130 loss_bbox: 0.449148 loss_dfl: 0.433900 loss: 1.888362 eta: 5:52:57 batch_cost: 0.8277 data_cost: 0.1672 ips: 77.3229 images/s
[03/19 17:30:26] ppdet.engine INFO: Epoch: [246] [  0/458] learning_rate: 0.025014 loss_vfl: 1.006030 loss_bbox: 0.450551 loss_dfl: 0.433972 loss: 1.894742 eta: 5:52:43 batch_cost: 1.1119 data_cost: 0.4656 ips: 57.5579 images/s
[03/19 17:30:45] ppdet.engine INFO: Epoch: [246] [ 20/458] learning_rate: 0.024974 loss_vfl: 0.997139 loss_bbox: 0.445449 loss_dfl: 0.429621 loss: 1.870271 eta: 5:52:26 batch_cost: 0.8143 data_cost: 0.0032 ips: 78.5940 images/s
[03/19 17:31:06] ppdet.engine INFO: Epoch: [246] [ 40/458] learning_rate: 0.024935 loss_vfl: 0.945671 loss_bbox: 0.419973 loss_dfl: 0.402012 loss: 1.777919 eta: 5:52:09 batch_cost: 0.9240 data_cost: 0.0024 ips: 69.2667 images/s
[03/19 17:31:24] ppdet.engine INFO: Epoch: [246] [ 60/458] learning_rate: 0.024896 loss_vfl: 1.032139 loss_bbox: 0.454626 loss_dfl: 0.439834 loss: 1.944596 eta: 5:51:52 batch_cost: 0.8304 data_cost: 0.0025 ips: 77.0687 images/s
[03/19 17:31:43] ppdet.engine INFO: Epoch: [246] [ 80/458] learning_rate: 0.024856 loss_vfl: 1.033507 loss_bbox: 0.447201 loss_dfl: 0.434432 loss: 1.931078 eta: 5:51:35 batch_cost: 0.8892 data_cost: 0.0035 ips: 71.9718 images/s
[03/19 17:32:03] ppdet.engine INFO: Epoch: [246] [100/458] learning_rate: 0.024817 loss_vfl: 1.023781 loss_bbox: 0.466254 loss_dfl: 0.435787 loss: 1.915087 eta: 5:51:18 batch_cost: 0.8568 data_cost: 0.0104 ips: 74.6929 images/s
[03/19 17:32:24] ppdet.engine INFO: Epoch: [246] [120/458] learning_rate: 0.024778 loss_vfl: 0.992313 loss_bbox: 0.438357 loss_dfl: 0.414047 loss: 1.868059 eta: 5:51:01 batch_cost: 0.9045 data_cost: 0.0021 ips: 70.7594 images/s
[03/19 17:32:43] ppdet.engine INFO: Epoch: [246] [140/458] learning_rate: 0.024739 loss_vfl: 0.984215 loss_bbox: 0.452615 loss_dfl: 0.419047 loss: 1.850875 eta: 5:50:44 batch_cost: 0.8833 data_cost: 0.0011 ips: 72.4582 images/s
[03/19 17:33:05] ppdet.engine INFO: Epoch: [246] [160/458] learning_rate: 0.024700 loss_vfl: 0.972426 loss_bbox: 0.451222 loss_dfl: 0.416115 loss: 1.857018 eta: 5:50:27 batch_cost: 0.9808 data_cost: 0.0084 ips: 65.2507 images/s
[03/19 17:33:20] ppdet.engine INFO: Epoch: [246] [180/458] learning_rate: 0.024661 loss_vfl: 0.944915 loss_bbox: 0.414699 loss_dfl: 0.387640 loss: 1.767419 eta: 5:50:09 batch_cost: 0.6694 data_cost: 0.0044 ips: 95.6131 images/s
[03/19 17:33:35] ppdet.engine INFO: Epoch: [246] [200/458] learning_rate: 0.024621 loss_vfl: 0.958171 loss_bbox: 0.428074 loss_dfl: 0.406667 loss: 1.792098 eta: 5:49:52 batch_cost: 0.6967 data_cost: 0.0015 ips: 91.8633 images/s
[03/19 17:33:50] ppdet.engine INFO: Epoch: [246] [220/458] learning_rate: 0.024582 loss_vfl: 0.999748 loss_bbox: 0.438487 loss_dfl: 0.435519 loss: 1.874382 eta: 5:49:34 batch_cost: 0.6530 data_cost: 0.0008 ips: 98.0045 images/s
[03/19 17:34:10] ppdet.engine INFO: Epoch: [246] [240/458] learning_rate: 0.024543 loss_vfl: 1.022506 loss_bbox: 0.446378 loss_dfl: 0.422396 loss: 1.859775 eta: 5:49:17 batch_cost: 0.8640 data_cost: 0.0018 ips: 74.0709 images/s
[03/19 17:34:31] ppdet.engine INFO: Epoch: [246] [260/458] learning_rate: 0.024504 loss_vfl: 0.997306 loss_bbox: 0.450950 loss_dfl: 0.427407 loss: 1.898119 eta: 5:49:00 batch_cost: 0.9170 data_cost: 0.0013 ips: 69.7964 images/s
[03/19 17:34:50] ppdet.engine INFO: Epoch: [246] [280/458] learning_rate: 0.024465 loss_vfl: 1.008451 loss_bbox: 0.441593 loss_dfl: 0.427047 loss: 1.893806 eta: 5:48:43 batch_cost: 0.8506 data_cost: 0.0014 ips: 75.2399 images/s
[03/19 17:35:09] ppdet.engine INFO: Epoch: [246] [300/458] learning_rate: 0.024426 loss_vfl: 0.947944 loss_bbox: 0.438314 loss_dfl: 0.404524 loss: 1.753972 eta: 5:48:25 batch_cost: 0.8431 data_cost: 0.0027 ips: 75.9108 images/s
[03/19 17:35:28] ppdet.engine INFO: Epoch: [246] [320/458] learning_rate: 0.024387 loss_vfl: 0.982210 loss_bbox: 0.460694 loss_dfl: 0.424457 loss: 1.856187 eta: 5:48:08 batch_cost: 0.8735 data_cost: 0.0076 ips: 73.2672 images/s
[03/19 17:35:48] ppdet.engine INFO: Epoch: [246] [340/458] learning_rate: 0.024349 loss_vfl: 0.989067 loss_bbox: 0.464527 loss_dfl: 0.428546 loss: 1.893850 eta: 5:47:51 batch_cost: 0.8997 data_cost: 0.0093 ips: 71.1309 images/s
[03/19 17:36:10] ppdet.engine INFO: Epoch: [246] [360/458] learning_rate: 0.024310 loss_vfl: 1.018126 loss_bbox: 0.446542 loss_dfl: 0.437815 loss: 1.947354 eta: 5:47:35 batch_cost: 1.0033 data_cost: 0.0029 ips: 63.7868 images/s
[03/19 17:36:30] ppdet.engine INFO: Epoch: [246] [380/458] learning_rate: 0.024271 loss_vfl: 0.974408 loss_bbox: 0.451428 loss_dfl: 0.418726 loss: 1.843475 eta: 5:47:18 batch_cost: 0.9111 data_cost: 0.0027 ips: 70.2444 images/s
[03/19 17:36:49] ppdet.engine INFO: Epoch: [246] [400/458] learning_rate: 0.024232 loss_vfl: 1.000393 loss_bbox: 0.452998 loss_dfl: 0.425555 loss: 1.873192 eta: 5:47:01 batch_cost: 0.8591 data_cost: 0.0046 ips: 74.4980 images/s
[03/19 17:37:10] ppdet.engine INFO: Epoch: [246] [420/458] learning_rate: 0.024193 loss_vfl: 0.976774 loss_bbox: 0.453215 loss_dfl: 0.423820 loss: 1.845690 eta: 5:46:44 batch_cost: 0.9389 data_cost: 0.0066 ips: 68.1625 images/s
[03/19 17:37:31] ppdet.engine INFO: Epoch: [246] [440/458] learning_rate: 0.024155 loss_vfl: 0.974977 loss_bbox: 0.447791 loss_dfl: 0.415987 loss: 1.812711 eta: 5:46:28 batch_cost: 0.9791 data_cost: 0.0106 ips: 65.3683 images/s
[03/19 17:37:54] ppdet.engine INFO: Epoch: [247] [  0/458] learning_rate: 0.024120 loss_vfl: 0.942984 loss_bbox: 0.435444 loss_dfl: 0.404357 loss: 1.795724 eta: 5:46:13 batch_cost: 1.0812 data_cost: 0.2809 ips: 59.1917 images/s
[03/19 17:38:14] ppdet.engine INFO: Epoch: [247] [ 20/458] learning_rate: 0.024081 loss_vfl: 0.975457 loss_bbox: 0.452404 loss_dfl: 0.429511 loss: 1.879870 eta: 5:45:56 batch_cost: 0.8818 data_cost: 0.0042 ips: 72.5784 images/s
[03/19 17:38:34] ppdet.engine INFO: Epoch: [247] [ 40/458] learning_rate: 0.024042 loss_vfl: 1.037274 loss_bbox: 0.452547 loss_dfl: 0.441618 loss: 1.944863 eta: 5:45:39 batch_cost: 0.9163 data_cost: 0.0025 ips: 69.8448 images/s
[03/19 17:38:56] ppdet.engine INFO: Epoch: [247] [ 60/458] learning_rate: 0.024004 loss_vfl: 0.994945 loss_bbox: 0.457979 loss_dfl: 0.427482 loss: 1.842814 eta: 5:45:23 batch_cost: 0.9933 data_cost: 0.0003 ips: 64.4342 images/s
[03/19 17:39:18] ppdet.engine INFO: Epoch: [247] [ 80/458] learning_rate: 0.023965 loss_vfl: 0.962706 loss_bbox: 0.423858 loss_dfl: 0.414825 loss: 1.809197 eta: 5:45:06 batch_cost: 1.0188 data_cost: 0.0015 ips: 62.8215 images/s
[03/19 17:39:38] ppdet.engine INFO: Epoch: [247] [100/458] learning_rate: 0.023926 loss_vfl: 1.022535 loss_bbox: 0.446711 loss_dfl: 0.424214 loss: 1.893623 eta: 5:44:50 batch_cost: 0.9205 data_cost: 0.0026 ips: 69.5243 images/s
[03/19 17:39:59] ppdet.engine INFO: Epoch: [247] [120/458] learning_rate: 0.023888 loss_vfl: 0.985857 loss_bbox: 0.440601 loss_dfl: 0.418732 loss: 1.825450 eta: 5:44:33 batch_cost: 0.9526 data_cost: 0.0037 ips: 67.1832 images/s
[03/19 17:40:16] ppdet.engine INFO: Epoch: [247] [140/458] learning_rate: 0.023849 loss_vfl: 1.014160 loss_bbox: 0.434451 loss_dfl: 0.425981 loss: 1.900938 eta: 5:44:15 batch_cost: 0.7332 data_cost: 0.0058 ips: 87.2927 images/s
[03/19 17:40:33] ppdet.engine INFO: Epoch: [247] [160/458] learning_rate: 0.023811 loss_vfl: 0.961180 loss_bbox: 0.438701 loss_dfl: 0.418463 loss: 1.812001 eta: 5:43:58 batch_cost: 0.7978 data_cost: 0.0039 ips: 80.2227 images/s
[03/19 17:40:50] ppdet.engine INFO: Epoch: [247] [180/458] learning_rate: 0.023772 loss_vfl: 0.957271 loss_bbox: 0.429145 loss_dfl: 0.393574 loss: 1.765790 eta: 5:43:40 batch_cost: 0.7535 data_cost: 0.0002 ips: 84.9423 images/s
[03/19 17:41:11] ppdet.engine INFO: Epoch: [247] [200/458] learning_rate: 0.023734 loss_vfl: 1.018775 loss_bbox: 0.451300 loss_dfl: 0.434381 loss: 1.872529 eta: 5:43:24 batch_cost: 0.9899 data_cost: 0.0045 ips: 64.6526 images/s
[03/19 17:41:32] ppdet.engine INFO: Epoch: [247] [220/458] learning_rate: 0.023696 loss_vfl: 1.016468 loss_bbox: 0.453245 loss_dfl: 0.425983 loss: 1.880654 eta: 5:43:07 batch_cost: 0.9035 data_cost: 0.0021 ips: 70.8342 images/s
[03/19 17:41:53] ppdet.engine INFO: Epoch: [247] [240/458] learning_rate: 0.023657 loss_vfl: 0.992502 loss_bbox: 0.428599 loss_dfl: 0.420497 loss: 1.850932 eta: 5:42:50 batch_cost: 0.9852 data_cost: 0.0036 ips: 64.9642 images/s
[03/19 17:42:11] ppdet.engine INFO: Epoch: [247] [260/458] learning_rate: 0.023619 loss_vfl: 0.961371 loss_bbox: 0.427078 loss_dfl: 0.407476 loss: 1.790643 eta: 5:42:33 batch_cost: 0.8124 data_cost: 0.0031 ips: 78.7761 images/s
[03/19 17:42:32] ppdet.engine INFO: Epoch: [247] [280/458] learning_rate: 0.023580 loss_vfl: 0.971982 loss_bbox: 0.442052 loss_dfl: 0.428768 loss: 1.856510 eta: 5:42:16 batch_cost: 0.9493 data_cost: 0.0018 ips: 67.4206 images/s
[03/19 17:42:54] ppdet.engine INFO: Epoch: [247] [300/458] learning_rate: 0.023542 loss_vfl: 1.033990 loss_bbox: 0.478553 loss_dfl: 0.440226 loss: 1.958163 eta: 5:42:00 batch_cost: 0.9940 data_cost: 0.0030 ips: 64.3834 images/s
[03/19 17:43:17] ppdet.engine INFO: Epoch: [247] [320/458] learning_rate: 0.023504 loss_vfl: 0.969106 loss_bbox: 0.437287 loss_dfl: 0.413668 loss: 1.799467 eta: 5:41:44 batch_cost: 1.0619 data_cost: 0.0030 ips: 60.2673 images/s
[03/19 17:43:36] ppdet.engine INFO: Epoch: [247] [340/458] learning_rate: 0.023466 loss_vfl: 1.046118 loss_bbox: 0.458134 loss_dfl: 0.443947 loss: 1.961023 eta: 5:41:26 batch_cost: 0.8252 data_cost: 0.0054 ips: 77.5560 images/s
[03/19 17:43:57] ppdet.engine INFO: Epoch: [247] [360/458] learning_rate: 0.023427 loss_vfl: 0.989111 loss_bbox: 0.453658 loss_dfl: 0.416641 loss: 1.834940 eta: 5:41:10 batch_cost: 0.9873 data_cost: 0.0020 ips: 64.8225 images/s
[03/19 17:44:18] ppdet.engine INFO: Epoch: [247] [380/458] learning_rate: 0.023389 loss_vfl: 0.997575 loss_bbox: 0.456419 loss_dfl: 0.440142 loss: 1.907601 eta: 5:40:53 batch_cost: 0.9488 data_cost: 0.0072 ips: 67.4523 images/s
[03/19 17:44:40] ppdet.engine INFO: Epoch: [247] [400/458] learning_rate: 0.023351 loss_vfl: 0.988250 loss_bbox: 0.438453 loss_dfl: 0.415762 loss: 1.836962 eta: 5:40:37 batch_cost: 1.0088 data_cost: 0.0101 ips: 63.4405 images/s
[03/19 17:45:00] ppdet.engine INFO: Epoch: [247] [420/458] learning_rate: 0.023313 loss_vfl: 0.959921 loss_bbox: 0.449325 loss_dfl: 0.414851 loss: 1.825860 eta: 5:40:20 batch_cost: 0.9458 data_cost: 0.0027 ips: 67.6648 images/s
[03/19 17:45:18] ppdet.engine INFO: Epoch: [247] [440/458] learning_rate: 0.023275 loss_vfl: 1.054002 loss_bbox: 0.470163 loss_dfl: 0.444558 loss: 1.958561 eta: 5:40:02 batch_cost: 0.8147 data_cost: 0.0017 ips: 78.5597 images/s
[03/19 17:45:43] ppdet.engine INFO: Epoch: [248] [  0/458] learning_rate: 0.023241 loss_vfl: 1.002469 loss_bbox: 0.452237 loss_dfl: 0.435336 loss: 1.910808 eta: 5:39:49 batch_cost: 1.2133 data_cost: 0.3572 ips: 52.7469 images/s
[03/19 17:46:03] ppdet.engine INFO: Epoch: [248] [ 20/458] learning_rate: 0.023203 loss_vfl: 0.984148 loss_bbox: 0.449198 loss_dfl: 0.423770 loss: 1.876817 eta: 5:39:32 batch_cost: 0.9109 data_cost: 0.1350 ips: 70.2585 images/s
[03/19 17:46:22] ppdet.engine INFO: Epoch: [248] [ 40/458] learning_rate: 0.023165 loss_vfl: 1.008595 loss_bbox: 0.445144 loss_dfl: 0.423756 loss: 1.869194 eta: 5:39:14 batch_cost: 0.7986 data_cost: 0.1841 ips: 80.1438 images/s
[03/19 17:46:40] ppdet.engine INFO: Epoch: [248] [ 60/458] learning_rate: 0.023127 loss_vfl: 0.952157 loss_bbox: 0.423215 loss_dfl: 0.403202 loss: 1.799945 eta: 5:38:57 batch_cost: 0.8074 data_cost: 0.2779 ips: 79.2685 images/s
[03/19 17:46:59] ppdet.engine INFO: Epoch: [248] [ 80/458] learning_rate: 0.023089 loss_vfl: 0.996136 loss_bbox: 0.471006 loss_dfl: 0.443752 loss: 1.935423 eta: 5:38:40 batch_cost: 0.8516 data_cost: 0.2759 ips: 75.1542 images/s
[03/19 17:47:13] ppdet.engine INFO: Epoch: [248] [100/458] learning_rate: 0.023051 loss_vfl: 0.979272 loss_bbox: 0.460619 loss_dfl: 0.426641 loss: 1.876610 eta: 5:38:22 batch_cost: 0.6179 data_cost: 0.1996 ips: 103.5821 images/s
[03/19 17:47:30] ppdet.engine INFO: Epoch: [248] [120/458] learning_rate: 0.023013 loss_vfl: 1.027783 loss_bbox: 0.471027 loss_dfl: 0.444853 loss: 1.922288 eta: 5:38:04 batch_cost: 0.7528 data_cost: 0.2145 ips: 85.0133 images/s
[03/19 17:47:49] ppdet.engine INFO: Epoch: [248] [140/458] learning_rate: 0.022975 loss_vfl: 1.008139 loss_bbox: 0.444045 loss_dfl: 0.428106 loss: 1.888939 eta: 5:37:47 batch_cost: 0.8638 data_cost: 0.3637 ips: 74.0894 images/s
[03/19 17:48:09] ppdet.engine INFO: Epoch: [248] [160/458] learning_rate: 0.022937 loss_vfl: 0.975905 loss_bbox: 0.443571 loss_dfl: 0.423822 loss: 1.835855 eta: 5:37:30 batch_cost: 0.8659 data_cost: 0.2388 ips: 73.9101 images/s
[03/19 17:48:33] ppdet.engine INFO: Epoch: [248] [180/458] learning_rate: 0.022899 loss_vfl: 0.941596 loss_bbox: 0.443181 loss_dfl: 0.412950 loss: 1.801588 eta: 5:37:14 batch_cost: 1.0289 data_cost: 0.4625 ips: 62.2053 images/s
[03/19 17:48:51] ppdet.engine INFO: Epoch: [248] [200/458] learning_rate: 0.022861 loss_vfl: 0.985686 loss_bbox: 0.440402 loss_dfl: 0.415793 loss: 1.813535 eta: 5:36:56 batch_cost: 0.7371 data_cost: 0.1581 ips: 86.8274 images/s
[03/19 17:49:10] ppdet.engine INFO: Epoch: [248] [220/458] learning_rate: 0.022824 loss_vfl: 0.989965 loss_bbox: 0.450167 loss_dfl: 0.428518 loss: 1.867656 eta: 5:36:39 batch_cost: 0.8405 data_cost: 0.2035 ips: 76.1443 images/s
[03/19 17:49:30] ppdet.engine INFO: Epoch: [248] [240/458] learning_rate: 0.022786 loss_vfl: 1.046295 loss_bbox: 0.460483 loss_dfl: 0.442277 loss: 1.951797 eta: 5:36:22 batch_cost: 0.8863 data_cost: 0.3100 ips: 72.2121 images/s
[03/19 17:49:50] ppdet.engine INFO: Epoch: [248] [260/458] learning_rate: 0.022748 loss_vfl: 0.924569 loss_bbox: 0.417875 loss_dfl: 0.400179 loss: 1.731693 eta: 5:36:05 batch_cost: 0.8985 data_cost: 0.3889 ips: 71.2322 images/s
[03/19 17:50:10] ppdet.engine INFO: Epoch: [248] [280/458] learning_rate: 0.022711 loss_vfl: 1.015545 loss_bbox: 0.445525 loss_dfl: 0.420341 loss: 1.873061 eta: 5:35:48 batch_cost: 0.8997 data_cost: 0.3259 ips: 71.1384 images/s
[03/19 17:50:30] ppdet.engine INFO: Epoch: [248] [300/458] learning_rate: 0.022673 loss_vfl: 1.032552 loss_bbox: 0.466713 loss_dfl: 0.435714 loss: 1.962260 eta: 5:35:31 batch_cost: 0.8907 data_cost: 0.3254 ips: 71.8549 images/s
[03/19 17:50:51] ppdet.engine INFO: Epoch: [248] [320/458] learning_rate: 0.022635 loss_vfl: 0.978116 loss_bbox: 0.423025 loss_dfl: 0.408844 loss: 1.825480 eta: 5:35:14 batch_cost: 0.9029 data_cost: 0.3250 ips: 70.8798 images/s
[03/19 17:51:11] ppdet.engine INFO: Epoch: [248] [340/458] learning_rate: 0.022598 loss_vfl: 1.004911 loss_bbox: 0.425467 loss_dfl: 0.411673 loss: 1.855557 eta: 5:34:57 batch_cost: 0.8900 data_cost: 0.2588 ips: 71.9073 images/s
[03/19 17:51:32] ppdet.engine INFO: Epoch: [248] [360/458] learning_rate: 0.022560 loss_vfl: 0.983042 loss_bbox: 0.416107 loss_dfl: 0.409290 loss: 1.793937 eta: 5:34:40 batch_cost: 0.9460 data_cost: 0.4170 ips: 67.6532 images/s
[03/19 17:51:53] ppdet.engine INFO: Epoch: [248] [380/458] learning_rate: 0.022523 loss_vfl: 1.014667 loss_bbox: 0.450163 loss_dfl: 0.438192 loss: 1.908288 eta: 5:34:23 batch_cost: 0.8944 data_cost: 0.2593 ips: 71.5601 images/s
[03/19 17:52:13] ppdet.engine INFO: Epoch: [248] [400/458] learning_rate: 0.022485 loss_vfl: 0.930806 loss_bbox: 0.413472 loss_dfl: 0.394512 loss: 1.729221 eta: 5:34:06 batch_cost: 0.8774 data_cost: 0.2644 ips: 72.9450 images/s
[03/19 17:52:32] ppdet.engine INFO: Epoch: [248] [420/458] learning_rate: 0.022448 loss_vfl: 1.024801 loss_bbox: 0.454698 loss_dfl: 0.424915 loss: 1.898185 eta: 5:33:49 batch_cost: 0.8564 data_cost: 0.3380 ips: 74.7302 images/s
[03/19 17:52:52] ppdet.engine INFO: Epoch: [248] [440/458] learning_rate: 0.022410 loss_vfl: 1.013817 loss_bbox: 0.447090 loss_dfl: 0.437517 loss: 1.915671 eta: 5:33:32 batch_cost: 0.8745 data_cost: 0.2867 ips: 73.1873 images/s
[03/19 17:53:12] ppdet.engine INFO: Epoch: [249] [  0/458] learning_rate: 0.022377 loss_vfl: 1.018618 loss_bbox: 0.426111 loss_dfl: 0.421047 loss: 1.847368 eta: 5:33:17 batch_cost: 0.9164 data_cost: 0.4450 ips: 69.8367 images/s
[03/19 17:53:34] ppdet.engine INFO: Epoch: [249] [ 20/458] learning_rate: 0.022339 loss_vfl: 0.973454 loss_bbox: 0.414335 loss_dfl: 0.408555 loss: 1.786140 eta: 5:33:00 batch_cost: 0.9375 data_cost: 0.1570 ips: 68.2671 images/s
[03/19 17:53:52] ppdet.engine INFO: Epoch: [249] [ 40/458] learning_rate: 0.022302 loss_vfl: 1.027614 loss_bbox: 0.464994 loss_dfl: 0.443897 loss: 1.975591 eta: 5:32:43 batch_cost: 0.8193 data_cost: 0.0036 ips: 78.1191 images/s
[03/19 17:54:11] ppdet.engine INFO: Epoch: [249] [ 60/458] learning_rate: 0.022264 loss_vfl: 1.027287 loss_bbox: 0.462238 loss_dfl: 0.438502 loss: 1.939759 eta: 5:32:26 batch_cost: 0.8297 data_cost: 0.1315 ips: 77.1370 images/s
[03/19 17:54:26] ppdet.engine INFO: Epoch: [249] [ 80/458] learning_rate: 0.022227 loss_vfl: 0.988494 loss_bbox: 0.481951 loss_dfl: 0.440069 loss: 1.927287 eta: 5:32:08 batch_cost: 0.6848 data_cost: 0.1068 ips: 93.4548 images/s
[03/19 17:54:41] ppdet.engine INFO: Epoch: [249] [100/458] learning_rate: 0.022190 loss_vfl: 0.913229 loss_bbox: 0.392031 loss_dfl: 0.382824 loss: 1.686319 eta: 5:31:50 batch_cost: 0.6159 data_cost: 0.1102 ips: 103.9097 images/s
[03/19 17:55:01] ppdet.engine INFO: Epoch: [249] [120/458] learning_rate: 0.022153 loss_vfl: 1.004274 loss_bbox: 0.453222 loss_dfl: 0.428767 loss: 1.876295 eta: 5:31:33 batch_cost: 0.8943 data_cost: 0.2804 ips: 71.5670 images/s
[03/19 17:55:20] ppdet.engine INFO: Epoch: [249] [140/458] learning_rate: 0.022115 loss_vfl: 0.930857 loss_bbox: 0.417176 loss_dfl: 0.397940 loss: 1.734304 eta: 5:31:16 batch_cost: 0.7885 data_cost: 0.1440 ips: 81.1643 images/s
[03/19 17:55:41] ppdet.engine INFO: Epoch: [249] [160/458] learning_rate: 0.022078 loss_vfl: 0.995624 loss_bbox: 0.441815 loss_dfl: 0.425024 loss: 1.873194 eta: 5:30:59 batch_cost: 0.9414 data_cost: 0.4249 ips: 67.9872 images/s
[03/19 17:56:01] ppdet.engine INFO: Epoch: [249] [180/458] learning_rate: 0.022041 loss_vfl: 0.970598 loss_bbox: 0.436729 loss_dfl: 0.405539 loss: 1.788694 eta: 5:30:41 batch_cost: 0.7986 data_cost: 0.1747 ips: 80.1426 images/s
[03/19 17:56:20] ppdet.engine INFO: Epoch: [249] [200/458] learning_rate: 0.022004 loss_vfl: 0.983695 loss_bbox: 0.454476 loss_dfl: 0.424245 loss: 1.893010 eta: 5:30:25 batch_cost: 0.8920 data_cost: 0.3222 ips: 71.7514 images/s
[03/19 17:56:40] ppdet.engine INFO: Epoch: [249] [220/458] learning_rate: 0.021967 loss_vfl: 1.042151 loss_bbox: 0.475755 loss_dfl: 0.439360 loss: 1.969758 eta: 5:30:08 batch_cost: 0.9057 data_cost: 0.1972 ips: 70.6608 images/s
[03/19 17:56:59] ppdet.engine INFO: Epoch: [249] [240/458] learning_rate: 0.021930 loss_vfl: 1.019550 loss_bbox: 0.445122 loss_dfl: 0.423670 loss: 1.906069 eta: 5:29:50 batch_cost: 0.8424 data_cost: 0.2921 ips: 75.9772 images/s
[03/19 17:57:20] ppdet.engine INFO: Epoch: [249] [260/458] learning_rate: 0.021893 loss_vfl: 0.954066 loss_bbox: 0.436319 loss_dfl: 0.411136 loss: 1.780536 eta: 5:29:34 batch_cost: 0.9188 data_cost: 0.3825 ips: 69.6593 images/s
[03/19 17:57:40] ppdet.engine INFO: Epoch: [249] [280/458] learning_rate: 0.021856 loss_vfl: 0.982781 loss_bbox: 0.432955 loss_dfl: 0.416540 loss: 1.837482 eta: 5:29:16 batch_cost: 0.8596 data_cost: 0.2600 ips: 74.4513 images/s
[03/19 17:58:00] ppdet.engine INFO: Epoch: [249] [300/458] learning_rate: 0.021819 loss_vfl: 1.002812 loss_bbox: 0.465960 loss_dfl: 0.440145 loss: 1.911256 eta: 5:28:59 batch_cost: 0.8462 data_cost: 0.2562 ips: 75.6347 images/s
[03/19 17:58:18] ppdet.engine INFO: Epoch: [249] [320/458] learning_rate: 0.021782 loss_vfl: 0.931216 loss_bbox: 0.418322 loss_dfl: 0.402695 loss: 1.744921 eta: 5:28:42 batch_cost: 0.7997 data_cost: 0.2109 ips: 80.0250 images/s
[03/19 17:58:39] ppdet.engine INFO: Epoch: [249] [340/458] learning_rate: 0.021745 loss_vfl: 1.010817 loss_bbox: 0.457975 loss_dfl: 0.427330 loss: 1.889924 eta: 5:28:25 batch_cost: 0.9326 data_cost: 0.4239 ips: 68.6267 images/s
[03/19 17:58:57] ppdet.engine INFO: Epoch: [249] [360/458] learning_rate: 0.021708 loss_vfl: 0.976350 loss_bbox: 0.439668 loss_dfl: 0.425304 loss: 1.858815 eta: 5:28:07 batch_cost: 0.6982 data_cost: 0.0869 ips: 91.6604 images/s
[03/19 17:59:19] ppdet.engine INFO: Epoch: [249] [380/458] learning_rate: 0.021671 loss_vfl: 1.055087 loss_bbox: 0.470074 loss_dfl: 0.447979 loss: 1.974303 eta: 5:27:51 batch_cost: 1.0447 data_cost: 0.4677 ips: 61.2629 images/s
[03/19 17:59:35] ppdet.engine INFO: Epoch: [249] [400/458] learning_rate: 0.021634 loss_vfl: 1.011647 loss_bbox: 0.474909 loss_dfl: 0.439975 loss: 1.941581 eta: 5:27:33 batch_cost: 0.6666 data_cost: 0.0965 ips: 96.0092 images/s
[03/19 17:59:55] ppdet.engine INFO: Epoch: [249] [420/458] learning_rate: 0.021598 loss_vfl: 1.012304 loss_bbox: 0.438399 loss_dfl: 0.436345 loss: 1.912266 eta: 5:27:16 batch_cost: 0.8192 data_cost: 0.1401 ips: 78.1223 images/s
[03/19 18:00:15] ppdet.engine INFO: Epoch: [249] [440/458] learning_rate: 0.021561 loss_vfl: 1.026743 loss_bbox: 0.492007 loss_dfl: 0.458847 loss: 2.001117 eta: 5:26:59 batch_cost: 0.8947 data_cost: 0.3470 ips: 71.5298 images/s
[03/19 18:00:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 18:00:29] ppdet.engine INFO: Eval iter: 0
[03/19 18:00:49] ppdet.engine INFO: Eval iter: 100
[03/19 18:00:58] ppdet.engine INFO: Eval iter: 200
[03/19 18:01:07] ppdet.engine INFO: Eval iter: 300
[03/19 18:01:16] ppdet.engine INFO: Eval iter: 400
[03/19 18:01:23] ppdet.engine INFO: Eval iter: 500
[03/19 18:01:31] ppdet.engine INFO: Eval iter: 600
[03/19 18:01:45] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.84s)
creating index...
index created!
[03/19 18:01:46] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.31s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=78.45s).
Accumulating evaluation results...
DONE (t=16.04s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.233
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.357
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.241
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.063
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.229
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.408
 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 ] = 0.376
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.398
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.118
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.438
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.670
[03/19 18:03:26] ppdet.engine INFO: Total sample number: 4952, averge FPS: 76.88731069045205
[03/19 18:03:26] ppdet.engine INFO: Best test bbox ap is 0.233.
[03/19 18:03:26] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 18:03:27] ppdet.engine INFO: Epoch: [250] [  0/458] learning_rate: 0.021528 loss_vfl: 0.986487 loss_bbox: 0.453219 loss_dfl: 0.421354 loss: 1.867121 eta: 5:26:43 batch_cost: 0.6328 data_cost: 0.1703 ips: 101.1411 images/s
[03/19 18:03:40] ppdet.engine INFO: Epoch: [250] [ 20/458] learning_rate: 0.021491 loss_vfl: 0.988676 loss_bbox: 0.436991 loss_dfl: 0.413025 loss: 1.831231 eta: 5:26:24 batch_cost: 0.5870 data_cost: 0.0754 ips: 109.0347 images/s
[03/19 18:04:04] ppdet.engine INFO: Epoch: [250] [ 40/458] learning_rate: 0.021454 loss_vfl: 1.006630 loss_bbox: 0.443510 loss_dfl: 0.418519 loss: 1.875784 eta: 5:26:08 batch_cost: 1.0603 data_cost: 0.3218 ips: 60.3630 images/s
[03/19 18:04:25] ppdet.engine INFO: Epoch: [250] [ 60/458] learning_rate: 0.021418 loss_vfl: 0.959440 loss_bbox: 0.442727 loss_dfl: 0.404373 loss: 1.771866 eta: 5:25:51 batch_cost: 0.9159 data_cost: 0.3781 ips: 69.8772 images/s
[03/19 18:04:44] ppdet.engine INFO: Epoch: [250] [ 80/458] learning_rate: 0.021381 loss_vfl: 0.958793 loss_bbox: 0.431566 loss_dfl: 0.418734 loss: 1.796072 eta: 5:25:34 batch_cost: 0.8388 data_cost: 0.2673 ips: 76.3006 images/s
[03/19 18:05:04] ppdet.engine INFO: Epoch: [250] [100/458] learning_rate: 0.021344 loss_vfl: 1.018177 loss_bbox: 0.477824 loss_dfl: 0.446671 loss: 1.942952 eta: 5:25:17 batch_cost: 0.8377 data_cost: 0.2571 ips: 76.3991 images/s
[03/19 18:05:24] ppdet.engine INFO: Epoch: [250] [120/458] learning_rate: 0.021308 loss_vfl: 0.973645 loss_bbox: 0.425133 loss_dfl: 0.405614 loss: 1.798601 eta: 5:25:00 batch_cost: 0.9151 data_cost: 0.1564 ips: 69.9397 images/s
[03/19 18:05:47] ppdet.engine INFO: Epoch: [250] [140/458] learning_rate: 0.021271 loss_vfl: 1.014791 loss_bbox: 0.453471 loss_dfl: 0.429421 loss: 1.895488 eta: 5:24:44 batch_cost: 1.0131 data_cost: 0.4429 ips: 63.1704 images/s
[03/19 18:06:05] ppdet.engine INFO: Epoch: [250] [160/458] learning_rate: 0.021235 loss_vfl: 0.994648 loss_bbox: 0.458094 loss_dfl: 0.424265 loss: 1.867384 eta: 5:24:26 batch_cost: 0.7703 data_cost: 0.2162 ips: 83.0866 images/s
[03/19 18:06:25] ppdet.engine INFO: Epoch: [250] [180/458] learning_rate: 0.021198 loss_vfl: 0.975666 loss_bbox: 0.454677 loss_dfl: 0.428822 loss: 1.844255 eta: 5:24:09 batch_cost: 0.8748 data_cost: 0.2605 ips: 73.1578 images/s
[03/19 18:06:48] ppdet.engine INFO: Epoch: [250] [200/458] learning_rate: 0.021162 loss_vfl: 1.045285 loss_bbox: 0.464345 loss_dfl: 0.437231 loss: 1.941847 eta: 5:23:52 batch_cost: 0.9813 data_cost: 0.2907 ips: 65.2199 images/s
[03/19 18:07:07] ppdet.engine INFO: Epoch: [250] [220/458] learning_rate: 0.021125 loss_vfl: 1.014224 loss_bbox: 0.466542 loss_dfl: 0.434757 loss: 1.933255 eta: 5:23:35 batch_cost: 0.8410 data_cost: 0.2690 ips: 76.0958 images/s
[03/19 18:07:25] ppdet.engine INFO: Epoch: [250] [240/458] learning_rate: 0.021089 loss_vfl: 0.960783 loss_bbox: 0.433191 loss_dfl: 0.412786 loss: 1.805399 eta: 5:23:18 batch_cost: 0.8190 data_cost: 0.1495 ips: 78.1416 images/s
[03/19 18:07:45] ppdet.engine INFO: Epoch: [250] [260/458] learning_rate: 0.021053 loss_vfl: 0.986096 loss_bbox: 0.440857 loss_dfl: 0.426317 loss: 1.846070 eta: 5:23:01 batch_cost: 0.8367 data_cost: 0.2070 ips: 76.4879 images/s
[03/19 18:08:04] ppdet.engine INFO: Epoch: [250] [280/458] learning_rate: 0.021016 loss_vfl: 0.997925 loss_bbox: 0.442041 loss_dfl: 0.419323 loss: 1.844100 eta: 5:22:43 batch_cost: 0.8254 data_cost: 0.3054 ips: 77.5335 images/s
[03/19 18:08:17] ppdet.engine INFO: Epoch: [250] [300/458] learning_rate: 0.020980 loss_vfl: 0.976906 loss_bbox: 0.434788 loss_dfl: 0.414616 loss: 1.873757 eta: 5:22:25 batch_cost: 0.5707 data_cost: 0.0735 ips: 112.1432 images/s
[03/19 18:08:33] ppdet.engine INFO: Epoch: [250] [320/458] learning_rate: 0.020944 loss_vfl: 1.003902 loss_bbox: 0.424639 loss_dfl: 0.419771 loss: 1.817187 eta: 5:22:08 batch_cost: 0.7545 data_cost: 0.3278 ips: 84.8222 images/s
[03/19 18:08:51] ppdet.engine INFO: Epoch: [250] [340/458] learning_rate: 0.020907 loss_vfl: 0.980958 loss_bbox: 0.446355 loss_dfl: 0.415386 loss: 1.820858 eta: 5:21:50 batch_cost: 0.8071 data_cost: 0.1717 ips: 79.2995 images/s
[03/19 18:09:13] ppdet.engine INFO: Epoch: [250] [360/458] learning_rate: 0.020871 loss_vfl: 1.002897 loss_bbox: 0.438212 loss_dfl: 0.417096 loss: 1.854981 eta: 5:21:34 batch_cost: 0.9686 data_cost: 0.4288 ips: 66.0739 images/s
[03/19 18:09:32] ppdet.engine INFO: Epoch: [250] [380/458] learning_rate: 0.020835 loss_vfl: 1.008555 loss_bbox: 0.423870 loss_dfl: 0.423328 loss: 1.873950 eta: 5:21:16 batch_cost: 0.8179 data_cost: 0.3186 ips: 78.2509 images/s
[03/19 18:09:52] ppdet.engine INFO: Epoch: [250] [400/458] learning_rate: 0.020799 loss_vfl: 1.015616 loss_bbox: 0.464606 loss_dfl: 0.453298 loss: 1.957437 eta: 5:20:59 batch_cost: 0.8931 data_cost: 0.3259 ips: 71.6609 images/s
[03/19 18:10:11] ppdet.engine INFO: Epoch: [250] [420/458] learning_rate: 0.020763 loss_vfl: 0.979939 loss_bbox: 0.424579 loss_dfl: 0.404557 loss: 1.777632 eta: 5:20:42 batch_cost: 0.8497 data_cost: 0.2429 ips: 75.3247 images/s
[03/19 18:10:29] ppdet.engine INFO: Epoch: [250] [440/458] learning_rate: 0.020727 loss_vfl: 1.009484 loss_bbox: 0.438812 loss_dfl: 0.419683 loss: 1.887890 eta: 5:20:25 batch_cost: 0.7779 data_cost: 0.2140 ips: 82.2757 images/s
[03/19 18:10:51] ppdet.engine INFO: Epoch: [251] [  0/458] learning_rate: 0.020694 loss_vfl: 1.014559 loss_bbox: 0.450162 loss_dfl: 0.424881 loss: 1.879883 eta: 5:20:10 batch_cost: 1.0241 data_cost: 0.4978 ips: 62.4927 images/s
[03/19 18:11:12] ppdet.engine INFO: Epoch: [251] [ 20/458] learning_rate: 0.020658 loss_vfl: 0.984186 loss_bbox: 0.440541 loss_dfl: 0.418826 loss: 1.831914 eta: 5:19:53 batch_cost: 0.8465 data_cost: 0.1811 ips: 75.6037 images/s
[03/19 18:11:33] ppdet.engine INFO: Epoch: [251] [ 40/458] learning_rate: 0.020622 loss_vfl: 0.975661 loss_bbox: 0.444230 loss_dfl: 0.416310 loss: 1.855511 eta: 5:19:36 batch_cost: 0.9386 data_cost: 0.2777 ips: 68.1850 images/s
[03/19 18:11:50] ppdet.engine INFO: Epoch: [251] [ 60/458] learning_rate: 0.020586 loss_vfl: 1.051476 loss_bbox: 0.475742 loss_dfl: 0.445364 loss: 1.979014 eta: 5:19:19 batch_cost: 0.7426 data_cost: 0.2006 ips: 86.1866 images/s
[03/19 18:12:10] ppdet.engine INFO: Epoch: [251] [ 80/458] learning_rate: 0.020550 loss_vfl: 0.983796 loss_bbox: 0.451840 loss_dfl: 0.433416 loss: 1.901780 eta: 5:19:02 batch_cost: 0.8862 data_cost: 0.2711 ips: 72.2161 images/s
[03/19 18:12:30] ppdet.engine INFO: Epoch: [251] [100/458] learning_rate: 0.020514 loss_vfl: 0.959044 loss_bbox: 0.423168 loss_dfl: 0.403310 loss: 1.807435 eta: 5:18:45 batch_cost: 0.8938 data_cost: 0.3573 ips: 71.6043 images/s
[03/19 18:12:50] ppdet.engine INFO: Epoch: [251] [120/458] learning_rate: 0.020478 loss_vfl: 0.965045 loss_bbox: 0.436854 loss_dfl: 0.417840 loss: 1.818108 eta: 5:18:28 batch_cost: 0.9002 data_cost: 0.3587 ips: 71.0933 images/s
[03/19 18:13:08] ppdet.engine INFO: Epoch: [251] [140/458] learning_rate: 0.020442 loss_vfl: 0.974619 loss_bbox: 0.446156 loss_dfl: 0.409494 loss: 1.810989 eta: 5:18:10 batch_cost: 0.7872 data_cost: 0.2223 ips: 81.3022 images/s
[03/19 18:13:30] ppdet.engine INFO: Epoch: [251] [160/458] learning_rate: 0.020406 loss_vfl: 0.995413 loss_bbox: 0.466567 loss_dfl: 0.423491 loss: 1.883757 eta: 5:17:54 batch_cost: 0.9857 data_cost: 0.4570 ips: 64.9254 images/s
[03/19 18:13:49] ppdet.engine INFO: Epoch: [251] [180/458] learning_rate: 0.020371 loss_vfl: 1.013631 loss_bbox: 0.453412 loss_dfl: 0.424352 loss: 1.871100 eta: 5:17:37 batch_cost: 0.8596 data_cost: 0.2816 ips: 74.4553 images/s
[03/19 18:14:09] ppdet.engine INFO: Epoch: [251] [200/458] learning_rate: 0.020335 loss_vfl: 1.007816 loss_bbox: 0.450899 loss_dfl: 0.424323 loss: 1.871767 eta: 5:17:20 batch_cost: 0.8842 data_cost: 0.2072 ips: 72.3816 images/s
[03/19 18:14:31] ppdet.engine INFO: Epoch: [251] [220/458] learning_rate: 0.020299 loss_vfl: 1.030077 loss_bbox: 0.443608 loss_dfl: 0.441417 loss: 1.902453 eta: 5:17:03 batch_cost: 0.9667 data_cost: 0.4026 ips: 66.2021 images/s
[03/19 18:14:52] ppdet.engine INFO: Epoch: [251] [240/458] learning_rate: 0.020263 loss_vfl: 1.015370 loss_bbox: 0.452606 loss_dfl: 0.422903 loss: 1.884602 eta: 5:16:46 batch_cost: 0.9300 data_cost: 0.2419 ips: 68.8165 images/s
[03/19 18:15:10] ppdet.engine INFO: Epoch: [251] [260/458] learning_rate: 0.020228 loss_vfl: 1.001438 loss_bbox: 0.450665 loss_dfl: 0.429341 loss: 1.877265 eta: 5:16:29 batch_cost: 0.7791 data_cost: 0.1834 ips: 82.1473 images/s
[03/19 18:15:26] ppdet.engine INFO: Epoch: [251] [280/458] learning_rate: 0.020192 loss_vfl: 0.969536 loss_bbox: 0.427806 loss_dfl: 0.422630 loss: 1.826850 eta: 5:16:11 batch_cost: 0.6865 data_cost: 0.1807 ips: 93.2259 images/s
[03/19 18:15:40] ppdet.engine INFO: Epoch: [251] [300/458] learning_rate: 0.020156 loss_vfl: 1.009121 loss_bbox: 0.448749 loss_dfl: 0.429183 loss: 1.898147 eta: 5:15:53 batch_cost: 0.6241 data_cost: 0.1527 ips: 102.5401 images/s
[03/19 18:15:54] ppdet.engine INFO: Epoch: [251] [320/458] learning_rate: 0.020121 loss_vfl: 0.933108 loss_bbox: 0.430407 loss_dfl: 0.389942 loss: 1.750623 eta: 5:15:35 batch_cost: 0.5458 data_cost: 0.0593 ips: 117.2641 images/s
[03/19 18:16:14] ppdet.engine INFO: Epoch: [251] [340/458] learning_rate: 0.020085 loss_vfl: 1.003299 loss_bbox: 0.459786 loss_dfl: 0.431175 loss: 1.899453 eta: 5:15:18 batch_cost: 0.9002 data_cost: 0.1115 ips: 71.0947 images/s
[03/19 18:16:35] ppdet.engine INFO: Epoch: [251] [360/458] learning_rate: 0.020050 loss_vfl: 0.963683 loss_bbox: 0.443447 loss_dfl: 0.418542 loss: 1.816253 eta: 5:15:01 batch_cost: 0.9078 data_cost: 0.1886 ips: 70.4990 images/s
[03/19 18:16:52] ppdet.engine INFO: Epoch: [251] [380/458] learning_rate: 0.020014 loss_vfl: 1.007993 loss_bbox: 0.468172 loss_dfl: 0.441026 loss: 1.921475 eta: 5:14:43 batch_cost: 0.7547 data_cost: 0.0274 ips: 84.8023 images/s
[03/19 18:17:13] ppdet.engine INFO: Epoch: [251] [400/458] learning_rate: 0.019979 loss_vfl: 0.951772 loss_bbox: 0.420864 loss_dfl: 0.396877 loss: 1.788912 eta: 5:14:26 batch_cost: 0.8590 data_cost: 0.0021 ips: 74.5016 images/s
[03/19 18:17:34] ppdet.engine INFO: Epoch: [251] [420/458] learning_rate: 0.019943 loss_vfl: 0.942221 loss_bbox: 0.416642 loss_dfl: 0.391854 loss: 1.752774 eta: 5:14:09 batch_cost: 0.8703 data_cost: 0.0031 ips: 73.5338 images/s
[03/19 18:17:53] ppdet.engine INFO: Epoch: [251] [440/458] learning_rate: 0.019908 loss_vfl: 0.983820 loss_bbox: 0.439243 loss_dfl: 0.418604 loss: 1.845245 eta: 5:13:52 batch_cost: 0.8304 data_cost: 0.0124 ips: 77.0668 images/s
[03/19 18:18:13] ppdet.engine INFO: Epoch: [252] [  0/458] learning_rate: 0.019876 loss_vfl: 0.990736 loss_bbox: 0.440293 loss_dfl: 0.416580 loss: 1.837796 eta: 5:13:37 batch_cost: 0.9118 data_cost: 0.3334 ips: 70.1929 images/s
[03/19 18:18:36] ppdet.engine INFO: Epoch: [252] [ 20/458] learning_rate: 0.019840 loss_vfl: 0.986632 loss_bbox: 0.460735 loss_dfl: 0.432176 loss: 1.883356 eta: 5:13:20 batch_cost: 1.0044 data_cost: 0.3088 ips: 63.7216 images/s
[03/19 18:18:53] ppdet.engine INFO: Epoch: [252] [ 40/458] learning_rate: 0.019805 loss_vfl: 1.016229 loss_bbox: 0.464300 loss_dfl: 0.428395 loss: 1.909106 eta: 5:13:03 batch_cost: 0.7246 data_cost: 0.1336 ips: 88.3257 images/s
[03/19 18:19:13] ppdet.engine INFO: Epoch: [252] [ 60/458] learning_rate: 0.019770 loss_vfl: 1.037662 loss_bbox: 0.478441 loss_dfl: 0.446488 loss: 1.964567 eta: 5:12:46 batch_cost: 0.8945 data_cost: 0.2960 ips: 71.5515 images/s
[03/19 18:19:34] ppdet.engine INFO: Epoch: [252] [ 80/458] learning_rate: 0.019734 loss_vfl: 1.013989 loss_bbox: 0.442334 loss_dfl: 0.418652 loss: 1.888832 eta: 5:12:29 batch_cost: 0.9009 data_cost: 0.2544 ips: 71.0385 images/s
[03/19 18:19:55] ppdet.engine INFO: Epoch: [252] [100/458] learning_rate: 0.019699 loss_vfl: 1.008898 loss_bbox: 0.466692 loss_dfl: 0.436106 loss: 1.910461 eta: 5:12:12 batch_cost: 0.8980 data_cost: 0.2840 ips: 71.2713 images/s
[03/19 18:20:16] ppdet.engine INFO: Epoch: [252] [120/458] learning_rate: 0.019664 loss_vfl: 0.947393 loss_bbox: 0.416082 loss_dfl: 0.389498 loss: 1.720915 eta: 5:11:55 batch_cost: 0.9159 data_cost: 0.3517 ips: 69.8766 images/s
[03/19 18:20:36] ppdet.engine INFO: Epoch: [252] [140/458] learning_rate: 0.019629 loss_vfl: 0.995571 loss_bbox: 0.452768 loss_dfl: 0.435641 loss: 1.879508 eta: 5:11:38 batch_cost: 0.8406 data_cost: 0.2770 ips: 76.1350 images/s
[03/19 18:20:56] ppdet.engine INFO: Epoch: [252] [160/458] learning_rate: 0.019594 loss_vfl: 0.985706 loss_bbox: 0.436283 loss_dfl: 0.410462 loss: 1.819059 eta: 5:11:21 batch_cost: 0.8629 data_cost: 0.1688 ips: 74.1649 images/s
[03/19 18:21:17] ppdet.engine INFO: Epoch: [252] [180/458] learning_rate: 0.019558 loss_vfl: 0.981927 loss_bbox: 0.445537 loss_dfl: 0.411283 loss: 1.838332 eta: 5:11:04 batch_cost: 0.9370 data_cost: 0.3071 ips: 68.3017 images/s
[03/19 18:21:33] ppdet.engine INFO: Epoch: [252] [200/458] learning_rate: 0.019523 loss_vfl: 0.910262 loss_bbox: 0.429116 loss_dfl: 0.405803 loss: 1.737454 eta: 5:10:46 batch_cost: 0.6883 data_cost: 0.1369 ips: 92.9805 images/s
[03/19 18:21:53] ppdet.engine INFO: Epoch: [252] [220/458] learning_rate: 0.019488 loss_vfl: 1.069201 loss_bbox: 0.459869 loss_dfl: 0.443154 loss: 1.993773 eta: 5:10:29 batch_cost: 0.8756 data_cost: 0.2581 ips: 73.0888 images/s
[03/19 18:22:13] ppdet.engine INFO: Epoch: [252] [240/458] learning_rate: 0.019453 loss_vfl: 1.037713 loss_bbox: 0.479996 loss_dfl: 0.437259 loss: 1.954240 eta: 5:10:12 batch_cost: 0.8714 data_cost: 0.2947 ips: 73.4481 images/s
[03/19 18:22:32] ppdet.engine INFO: Epoch: [252] [260/458] learning_rate: 0.019418 loss_vfl: 0.995435 loss_bbox: 0.453763 loss_dfl: 0.418390 loss: 1.848983 eta: 5:09:55 batch_cost: 0.8785 data_cost: 0.2784 ips: 72.8481 images/s
[03/19 18:22:48] ppdet.engine INFO: Epoch: [252] [280/458] learning_rate: 0.019383 loss_vfl: 0.988309 loss_bbox: 0.455973 loss_dfl: 0.425856 loss: 1.855932 eta: 5:09:37 batch_cost: 0.7266 data_cost: 0.2419 ips: 88.0785 images/s
[03/19 18:23:05] ppdet.engine INFO: Epoch: [252] [300/458] learning_rate: 0.019348 loss_vfl: 1.004748 loss_bbox: 0.456630 loss_dfl: 0.420060 loss: 1.889900 eta: 5:09:20 batch_cost: 0.7208 data_cost: 0.2621 ips: 88.7959 images/s
[03/19 18:23:20] ppdet.engine INFO: Epoch: [252] [320/458] learning_rate: 0.019313 loss_vfl: 1.028370 loss_bbox: 0.463414 loss_dfl: 0.436072 loss: 1.931756 eta: 5:09:02 batch_cost: 0.6809 data_cost: 0.2159 ips: 93.9901 images/s
[03/19 18:23:40] ppdet.engine INFO: Epoch: [252] [340/458] learning_rate: 0.019278 loss_vfl: 0.995443 loss_bbox: 0.441615 loss_dfl: 0.426611 loss: 1.850368 eta: 5:08:45 batch_cost: 0.8875 data_cost: 0.1753 ips: 72.1123 images/s
[03/19 18:24:01] ppdet.engine INFO: Epoch: [252] [360/458] learning_rate: 0.019243 loss_vfl: 0.939581 loss_bbox: 0.413233 loss_dfl: 0.409618 loss: 1.789398 eta: 5:08:28 batch_cost: 0.8927 data_cost: 0.3037 ips: 71.6940 images/s
[03/19 18:24:21] ppdet.engine INFO: Epoch: [252] [380/458] learning_rate: 0.019209 loss_vfl: 1.018062 loss_bbox: 0.447380 loss_dfl: 0.427879 loss: 1.874469 eta: 5:08:11 batch_cost: 0.8994 data_cost: 0.3251 ips: 71.1601 images/s
[03/19 18:24:39] ppdet.engine INFO: Epoch: [252] [400/458] learning_rate: 0.019174 loss_vfl: 0.915686 loss_bbox: 0.418044 loss_dfl: 0.392244 loss: 1.731604 eta: 5:07:54 batch_cost: 0.7860 data_cost: 0.1801 ips: 81.4293 images/s
[03/19 18:25:00] ppdet.engine INFO: Epoch: [252] [420/458] learning_rate: 0.019139 loss_vfl: 0.988418 loss_bbox: 0.425974 loss_dfl: 0.413265 loss: 1.807923 eta: 5:07:37 batch_cost: 0.8865 data_cost: 0.3270 ips: 72.1941 images/s
[03/19 18:25:20] ppdet.engine INFO: Epoch: [252] [440/458] learning_rate: 0.019104 loss_vfl: 0.989731 loss_bbox: 0.436430 loss_dfl: 0.429546 loss: 1.839165 eta: 5:07:20 batch_cost: 0.8960 data_cost: 0.3536 ips: 71.4278 images/s
[03/19 18:25:40] ppdet.engine INFO: Epoch: [253] [  0/458] learning_rate: 0.019073 loss_vfl: 0.965819 loss_bbox: 0.443844 loss_dfl: 0.412436 loss: 1.824680 eta: 5:07:05 batch_cost: 0.9565 data_cost: 0.5307 ips: 66.9102 images/s
[03/19 18:26:01] ppdet.engine INFO: Epoch: [253] [ 20/458] learning_rate: 0.019038 loss_vfl: 0.953386 loss_bbox: 0.423195 loss_dfl: 0.406535 loss: 1.781874 eta: 5:06:48 batch_cost: 0.9438 data_cost: 0.3044 ips: 67.8121 images/s
[03/19 18:26:21] ppdet.engine INFO: Epoch: [253] [ 40/458] learning_rate: 0.019004 loss_vfl: 1.041419 loss_bbox: 0.465640 loss_dfl: 0.440987 loss: 1.952652 eta: 5:06:31 batch_cost: 0.8911 data_cost: 0.3632 ips: 71.8237 images/s
[03/19 18:26:39] ppdet.engine INFO: Epoch: [253] [ 60/458] learning_rate: 0.018969 loss_vfl: 0.957120 loss_bbox: 0.418618 loss_dfl: 0.403996 loss: 1.794794 eta: 5:06:13 batch_cost: 0.7390 data_cost: 0.2102 ips: 86.6015 images/s
[03/19 18:27:02] ppdet.engine INFO: Epoch: [253] [ 80/458] learning_rate: 0.018934 loss_vfl: 0.955001 loss_bbox: 0.430473 loss_dfl: 0.409959 loss: 1.772890 eta: 5:05:57 batch_cost: 0.9873 data_cost: 0.4724 ips: 64.8235 images/s
[03/19 18:27:20] ppdet.engine INFO: Epoch: [253] [100/458] learning_rate: 0.018900 loss_vfl: 0.984552 loss_bbox: 0.420411 loss_dfl: 0.420393 loss: 1.839118 eta: 5:05:39 batch_cost: 0.7790 data_cost: 0.1051 ips: 82.1610 images/s
[03/19 18:27:40] ppdet.engine INFO: Epoch: [253] [120/458] learning_rate: 0.018865 loss_vfl: 1.000507 loss_bbox: 0.440800 loss_dfl: 0.427216 loss: 1.860570 eta: 5:05:22 batch_cost: 0.8670 data_cost: 0.3059 ips: 73.8141 images/s
[03/19 18:28:04] ppdet.engine INFO: Epoch: [253] [140/458] learning_rate: 0.018831 loss_vfl: 0.975944 loss_bbox: 0.442315 loss_dfl: 0.426976 loss: 1.844776 eta: 5:05:06 batch_cost: 1.0688 data_cost: 0.4628 ips: 59.8793 images/s
[03/19 18:28:22] ppdet.engine INFO: Epoch: [253] [160/458] learning_rate: 0.018796 loss_vfl: 1.008566 loss_bbox: 0.451806 loss_dfl: 0.426280 loss: 1.875280 eta: 5:04:48 batch_cost: 0.7801 data_cost: 0.2284 ips: 82.0365 images/s
[03/19 18:28:42] ppdet.engine INFO: Epoch: [253] [180/458] learning_rate: 0.018762 loss_vfl: 1.011144 loss_bbox: 0.456318 loss_dfl: 0.424546 loss: 1.883643 eta: 5:04:31 batch_cost: 0.8512 data_cost: 0.2774 ips: 75.1841 images/s
[03/19 18:29:01] ppdet.engine INFO: Epoch: [253] [200/458] learning_rate: 0.018727 loss_vfl: 0.988393 loss_bbox: 0.448506 loss_dfl: 0.424934 loss: 1.878403 eta: 5:04:14 batch_cost: 0.8965 data_cost: 0.3133 ips: 71.3922 images/s
[03/19 18:29:20] ppdet.engine INFO: Epoch: [253] [220/458] learning_rate: 0.018693 loss_vfl: 0.990567 loss_bbox: 0.457135 loss_dfl: 0.429958 loss: 1.856648 eta: 5:03:57 batch_cost: 0.7552 data_cost: 0.1890 ips: 84.7498 images/s
[03/19 18:29:40] ppdet.engine INFO: Epoch: [253] [240/458] learning_rate: 0.018658 loss_vfl: 1.034301 loss_bbox: 0.474023 loss_dfl: 0.450565 loss: 1.957930 eta: 5:03:40 batch_cost: 0.9104 data_cost: 0.2585 ips: 70.2977 images/s
[03/19 18:29:57] ppdet.engine INFO: Epoch: [253] [260/458] learning_rate: 0.018624 loss_vfl: 0.950093 loss_bbox: 0.412773 loss_dfl: 0.396951 loss: 1.753600 eta: 5:03:22 batch_cost: 0.6940 data_cost: 0.1442 ips: 92.2135 images/s
[03/19 18:30:14] ppdet.engine INFO: Epoch: [253] [280/458] learning_rate: 0.018590 loss_vfl: 1.033385 loss_bbox: 0.456988 loss_dfl: 0.433557 loss: 1.940922 eta: 5:03:05 batch_cost: 0.7206 data_cost: 0.1204 ips: 88.8144 images/s
[03/19 18:30:27] ppdet.engine INFO: Epoch: [253] [300/458] learning_rate: 0.018555 loss_vfl: 1.000058 loss_bbox: 0.440979 loss_dfl: 0.418248 loss: 1.865432 eta: 5:02:46 batch_cost: 0.5907 data_cost: 0.0396 ips: 108.3493 images/s
[03/19 18:30:46] ppdet.engine INFO: Epoch: [253] [320/458] learning_rate: 0.018521 loss_vfl: 0.960409 loss_bbox: 0.456489 loss_dfl: 0.422755 loss: 1.843086 eta: 5:02:29 batch_cost: 0.8246 data_cost: 0.2087 ips: 77.6136 images/s
[03/19 18:31:06] ppdet.engine INFO: Epoch: [253] [340/458] learning_rate: 0.018487 loss_vfl: 1.000265 loss_bbox: 0.451612 loss_dfl: 0.431168 loss: 1.881833 eta: 5:02:12 batch_cost: 0.8814 data_cost: 0.2937 ips: 72.6157 images/s
[03/19 18:31:28] ppdet.engine INFO: Epoch: [253] [360/458] learning_rate: 0.018453 loss_vfl: 0.976380 loss_bbox: 0.438440 loss_dfl: 0.426559 loss: 1.836337 eta: 5:01:56 batch_cost: 0.9810 data_cost: 0.4283 ips: 65.2423 images/s
[03/19 18:31:44] ppdet.engine INFO: Epoch: [253] [380/458] learning_rate: 0.018419 loss_vfl: 0.974044 loss_bbox: 0.447814 loss_dfl: 0.417163 loss: 1.838879 eta: 5:01:38 batch_cost: 0.6563 data_cost: 0.0295 ips: 97.5170 images/s
[03/19 18:32:06] ppdet.engine INFO: Epoch: [253] [400/458] learning_rate: 0.018384 loss_vfl: 0.999145 loss_bbox: 0.442519 loss_dfl: 0.418417 loss: 1.873816 eta: 5:01:21 batch_cost: 0.9593 data_cost: 0.3483 ips: 66.7180 images/s
[03/19 18:32:25] ppdet.engine INFO: Epoch: [253] [420/458] learning_rate: 0.018350 loss_vfl: 0.947916 loss_bbox: 0.423724 loss_dfl: 0.403189 loss: 1.782658 eta: 5:01:04 batch_cost: 0.8478 data_cost: 0.2121 ips: 75.4938 images/s
[03/19 18:32:45] ppdet.engine INFO: Epoch: [253] [440/458] learning_rate: 0.018316 loss_vfl: 1.022691 loss_bbox: 0.459392 loss_dfl: 0.427967 loss: 1.922123 eta: 5:00:47 batch_cost: 0.8626 data_cost: 0.3483 ips: 74.1920 images/s
[03/19 18:33:07] ppdet.engine INFO: Epoch: [254] [  0/458] learning_rate: 0.018286 loss_vfl: 0.954116 loss_bbox: 0.443059 loss_dfl: 0.403084 loss: 1.784626 eta: 5:00:32 batch_cost: 1.0480 data_cost: 0.6136 ips: 61.0691 images/s
[03/19 18:33:26] ppdet.engine INFO: Epoch: [254] [ 20/458] learning_rate: 0.018252 loss_vfl: 0.988423 loss_bbox: 0.464897 loss_dfl: 0.435145 loss: 1.899618 eta: 5:00:15 batch_cost: 0.8050 data_cost: 0.1607 ips: 79.5042 images/s
[03/19 18:33:44] ppdet.engine INFO: Epoch: [254] [ 40/458] learning_rate: 0.018218 loss_vfl: 0.992927 loss_bbox: 0.447443 loss_dfl: 0.426397 loss: 1.848571 eta: 4:59:57 batch_cost: 0.7595 data_cost: 0.0913 ips: 84.2652 images/s
[03/19 18:34:04] ppdet.engine INFO: Epoch: [254] [ 60/458] learning_rate: 0.018184 loss_vfl: 0.993646 loss_bbox: 0.442655 loss_dfl: 0.417121 loss: 1.861894 eta: 4:59:40 batch_cost: 0.8165 data_cost: 0.0314 ips: 78.3832 images/s
[03/19 18:34:25] ppdet.engine INFO: Epoch: [254] [ 80/458] learning_rate: 0.018150 loss_vfl: 1.015409 loss_bbox: 0.433417 loss_dfl: 0.419433 loss: 1.870093 eta: 4:59:23 batch_cost: 0.9267 data_cost: 0.0022 ips: 69.0652 images/s
[03/19 18:34:45] ppdet.engine INFO: Epoch: [254] [100/458] learning_rate: 0.018116 loss_vfl: 1.008099 loss_bbox: 0.468930 loss_dfl: 0.434826 loss: 1.916249 eta: 4:59:06 batch_cost: 0.9010 data_cost: 0.0810 ips: 71.0310 images/s
[03/19 18:35:04] ppdet.engine INFO: Epoch: [254] [120/458] learning_rate: 0.018082 loss_vfl: 0.998162 loss_bbox: 0.456384 loss_dfl: 0.425964 loss: 1.871957 eta: 4:58:49 batch_cost: 0.8008 data_cost: 0.0083 ips: 79.9189 images/s
[03/19 18:35:24] ppdet.engine INFO: Epoch: [254] [140/458] learning_rate: 0.018048 loss_vfl: 0.961233 loss_bbox: 0.447282 loss_dfl: 0.425165 loss: 1.833878 eta: 4:58:32 batch_cost: 0.7979 data_cost: 0.1380 ips: 80.2134 images/s
[03/19 18:35:42] ppdet.engine INFO: Epoch: [254] [160/458] learning_rate: 0.018014 loss_vfl: 1.052812 loss_bbox: 0.477871 loss_dfl: 0.449490 loss: 1.984032 eta: 4:58:14 batch_cost: 0.8160 data_cost: 0.2378 ips: 78.4356 images/s
[03/19 18:36:03] ppdet.engine INFO: Epoch: [254] [180/458] learning_rate: 0.017980 loss_vfl: 0.991265 loss_bbox: 0.436344 loss_dfl: 0.425531 loss: 1.858982 eta: 4:57:58 batch_cost: 0.9274 data_cost: 0.3903 ips: 69.0084 images/s
[03/19 18:36:22] ppdet.engine INFO: Epoch: [254] [200/458] learning_rate: 0.017947 loss_vfl: 1.003833 loss_bbox: 0.431223 loss_dfl: 0.413953 loss: 1.853615 eta: 4:57:40 batch_cost: 0.8364 data_cost: 0.3382 ips: 76.5158 images/s
[03/19 18:36:40] ppdet.engine INFO: Epoch: [254] [220/458] learning_rate: 0.017913 loss_vfl: 1.025042 loss_bbox: 0.446650 loss_dfl: 0.437260 loss: 1.888541 eta: 4:57:23 batch_cost: 0.7363 data_cost: 0.1612 ips: 86.9267 images/s
[03/19 18:37:00] ppdet.engine INFO: Epoch: [254] [240/458] learning_rate: 0.017879 loss_vfl: 0.987516 loss_bbox: 0.431782 loss_dfl: 0.419179 loss: 1.843977 eta: 4:57:06 batch_cost: 0.8918 data_cost: 0.2844 ips: 71.7650 images/s
[03/19 18:37:17] ppdet.engine INFO: Epoch: [254] [260/458] learning_rate: 0.017846 loss_vfl: 1.004324 loss_bbox: 0.440308 loss_dfl: 0.414454 loss: 1.873864 eta: 4:56:48 batch_cost: 0.7304 data_cost: 0.1934 ips: 87.6278 images/s
[03/19 18:37:32] ppdet.engine INFO: Epoch: [254] [280/458] learning_rate: 0.017812 loss_vfl: 0.985241 loss_bbox: 0.446650 loss_dfl: 0.427411 loss: 1.872372 eta: 4:56:30 batch_cost: 0.6514 data_cost: 0.1704 ips: 98.2490 images/s
[03/19 18:37:48] ppdet.engine INFO: Epoch: [254] [300/458] learning_rate: 0.017778 loss_vfl: 1.011592 loss_bbox: 0.456899 loss_dfl: 0.426380 loss: 1.869613 eta: 4:56:13 batch_cost: 0.7385 data_cost: 0.2803 ips: 86.6606 images/s
[03/19 18:38:05] ppdet.engine INFO: Epoch: [254] [320/458] learning_rate: 0.017745 loss_vfl: 0.982069 loss_bbox: 0.428536 loss_dfl: 0.408718 loss: 1.795609 eta: 4:55:55 batch_cost: 0.7041 data_cost: 0.1423 ips: 90.8992 images/s
[03/19 18:38:23] ppdet.engine INFO: Epoch: [254] [340/458] learning_rate: 0.017711 loss_vfl: 0.980037 loss_bbox: 0.452558 loss_dfl: 0.422935 loss: 1.863125 eta: 4:55:38 batch_cost: 0.7402 data_cost: 0.0606 ips: 86.4582 images/s
[03/19 18:38:45] ppdet.engine INFO: Epoch: [254] [360/458] learning_rate: 0.017678 loss_vfl: 1.018079 loss_bbox: 0.442853 loss_dfl: 0.437231 loss: 1.907791 eta: 4:55:21 batch_cost: 0.9707 data_cost: 0.2524 ips: 65.9311 images/s
[03/19 18:39:05] ppdet.engine INFO: Epoch: [254] [380/458] learning_rate: 0.017644 loss_vfl: 1.020140 loss_bbox: 0.458478 loss_dfl: 0.432007 loss: 1.906961 eta: 4:55:04 batch_cost: 0.8807 data_cost: 0.3153 ips: 72.6714 images/s
[03/19 18:39:24] ppdet.engine INFO: Epoch: [254] [400/458] learning_rate: 0.017611 loss_vfl: 0.991634 loss_bbox: 0.449442 loss_dfl: 0.417844 loss: 1.849542 eta: 4:54:47 batch_cost: 0.7823 data_cost: 0.2590 ips: 81.8104 images/s
[03/19 18:39:45] ppdet.engine INFO: Epoch: [254] [420/458] learning_rate: 0.017577 loss_vfl: 0.987609 loss_bbox: 0.444337 loss_dfl: 0.409769 loss: 1.824626 eta: 4:54:30 batch_cost: 0.9924 data_cost: 0.3580 ips: 64.4932 images/s
[03/19 18:40:06] ppdet.engine INFO: Epoch: [254] [440/458] learning_rate: 0.017544 loss_vfl: 1.012356 loss_bbox: 0.447335 loss_dfl: 0.427211 loss: 1.875011 eta: 4:54:13 batch_cost: 0.8736 data_cost: 0.2783 ips: 73.2602 images/s
[03/19 18:40:28] ppdet.engine INFO: Epoch: [255] [  0/458] learning_rate: 0.017514 loss_vfl: 1.002377 loss_bbox: 0.428496 loss_dfl: 0.425851 loss: 1.859193 eta: 4:53:58 batch_cost: 1.0502 data_cost: 0.4941 ips: 60.9417 images/s
[03/19 18:40:47] ppdet.engine INFO: Epoch: [255] [ 20/458] learning_rate: 0.017481 loss_vfl: 1.015423 loss_bbox: 0.459679 loss_dfl: 0.445314 loss: 1.928397 eta: 4:53:41 batch_cost: 0.7599 data_cost: 0.0030 ips: 84.2177 images/s
[03/19 18:41:06] ppdet.engine INFO: Epoch: [255] [ 40/458] learning_rate: 0.017447 loss_vfl: 0.983487 loss_bbox: 0.449509 loss_dfl: 0.414929 loss: 1.843113 eta: 4:53:24 batch_cost: 0.8506 data_cost: 0.1948 ips: 75.2433 images/s
[03/19 18:41:25] ppdet.engine INFO: Epoch: [255] [ 60/458] learning_rate: 0.017414 loss_vfl: 0.986786 loss_bbox: 0.452213 loss_dfl: 0.423173 loss: 1.879028 eta: 4:53:06 batch_cost: 0.7928 data_cost: 0.2983 ips: 80.7315 images/s
[03/19 18:41:44] ppdet.engine INFO: Epoch: [255] [ 80/458] learning_rate: 0.017381 loss_vfl: 0.938545 loss_bbox: 0.441269 loss_dfl: 0.405813 loss: 1.798692 eta: 4:52:49 batch_cost: 0.8117 data_cost: 0.2296 ips: 78.8447 images/s
[03/19 18:42:04] ppdet.engine INFO: Epoch: [255] [100/458] learning_rate: 0.017348 loss_vfl: 0.984215 loss_bbox: 0.450522 loss_dfl: 0.429854 loss: 1.860762 eta: 4:52:32 batch_cost: 0.9045 data_cost: 0.3518 ips: 70.7550 images/s
[03/19 18:42:27] ppdet.engine INFO: Epoch: [255] [120/458] learning_rate: 0.017314 loss_vfl: 1.028588 loss_bbox: 0.462839 loss_dfl: 0.424968 loss: 1.928578 eta: 4:52:16 batch_cost: 1.0115 data_cost: 0.3451 ips: 63.2705 images/s
[03/19 18:42:45] ppdet.engine INFO: Epoch: [255] [140/458] learning_rate: 0.017281 loss_vfl: 1.031399 loss_bbox: 0.446374 loss_dfl: 0.428147 loss: 1.897065 eta: 4:51:58 batch_cost: 0.7575 data_cost: 0.2040 ips: 84.4904 images/s
[03/19 18:43:04] ppdet.engine INFO: Epoch: [255] [160/458] learning_rate: 0.017248 loss_vfl: 0.994343 loss_bbox: 0.459997 loss_dfl: 0.434049 loss: 1.885715 eta: 4:51:41 batch_cost: 0.8551 data_cost: 0.2498 ips: 74.8413 images/s
[03/19 18:43:25] ppdet.engine INFO: Epoch: [255] [180/458] learning_rate: 0.017215 loss_vfl: 0.990301 loss_bbox: 0.457465 loss_dfl: 0.430713 loss: 1.893986 eta: 4:51:24 batch_cost: 0.9406 data_cost: 0.3591 ips: 68.0386 images/s
[03/19 18:43:43] ppdet.engine INFO: Epoch: [255] [200/458] learning_rate: 0.017182 loss_vfl: 0.974623 loss_bbox: 0.435657 loss_dfl: 0.405817 loss: 1.826774 eta: 4:51:07 batch_cost: 0.7649 data_cost: 0.1817 ips: 83.6656 images/s
[03/19 18:44:04] ppdet.engine INFO: Epoch: [255] [220/458] learning_rate: 0.017149 loss_vfl: 1.003902 loss_bbox: 0.460441 loss_dfl: 0.432326 loss: 1.905559 eta: 4:50:50 batch_cost: 0.9162 data_cost: 0.3337 ips: 69.8528 images/s
[03/19 18:44:24] ppdet.engine INFO: Epoch: [255] [240/458] learning_rate: 0.017116 loss_vfl: 0.998151 loss_bbox: 0.453425 loss_dfl: 0.430332 loss: 1.907205 eta: 4:50:33 batch_cost: 0.8520 data_cost: 0.3001 ips: 75.1196 images/s
[03/19 18:44:38] ppdet.engine INFO: Epoch: [255] [260/458] learning_rate: 0.017083 loss_vfl: 0.940351 loss_bbox: 0.441461 loss_dfl: 0.413990 loss: 1.794745 eta: 4:50:15 batch_cost: 0.6109 data_cost: 0.0941 ips: 104.7717 images/s
[03/19 18:44:54] ppdet.engine INFO: Epoch: [255] [280/458] learning_rate: 0.017050 loss_vfl: 1.005257 loss_bbox: 0.448985 loss_dfl: 0.434619 loss: 1.886374 eta: 4:49:57 batch_cost: 0.7075 data_cost: 0.0276 ips: 90.4532 images/s
[03/19 18:45:10] ppdet.engine INFO: Epoch: [255] [300/458] learning_rate: 0.017017 loss_vfl: 0.950952 loss_bbox: 0.412525 loss_dfl: 0.399520 loss: 1.745829 eta: 4:49:39 batch_cost: 0.7061 data_cost: 0.0025 ips: 90.6345 images/s
[03/19 18:45:29] ppdet.engine INFO: Epoch: [255] [320/458] learning_rate: 0.016984 loss_vfl: 0.980620 loss_bbox: 0.437266 loss_dfl: 0.419882 loss: 1.819651 eta: 4:49:22 batch_cost: 0.7782 data_cost: 0.0037 ips: 82.2384 images/s
[03/19 18:45:50] ppdet.engine INFO: Epoch: [255] [340/458] learning_rate: 0.016951 loss_vfl: 0.947797 loss_bbox: 0.443835 loss_dfl: 0.415282 loss: 1.809175 eta: 4:49:05 batch_cost: 0.9496 data_cost: 0.0037 ips: 67.3943 images/s
[03/19 18:46:11] ppdet.engine INFO: Epoch: [255] [360/458] learning_rate: 0.016918 loss_vfl: 0.972700 loss_bbox: 0.447119 loss_dfl: 0.420838 loss: 1.848853 eta: 4:48:48 batch_cost: 0.8934 data_cost: 0.0021 ips: 71.6341 images/s
[03/19 18:46:28] ppdet.engine INFO: Epoch: [255] [380/458] learning_rate: 0.016886 loss_vfl: 0.985229 loss_bbox: 0.451741 loss_dfl: 0.417832 loss: 1.862186 eta: 4:48:31 batch_cost: 0.7203 data_cost: 0.0084 ips: 88.8557 images/s
[03/19 18:46:47] ppdet.engine INFO: Epoch: [255] [400/458] learning_rate: 0.016853 loss_vfl: 0.974198 loss_bbox: 0.435773 loss_dfl: 0.421843 loss: 1.818713 eta: 4:48:13 batch_cost: 0.7410 data_cost: 0.0016 ips: 86.3742 images/s
[03/19 18:47:05] ppdet.engine INFO: Epoch: [255] [420/458] learning_rate: 0.016820 loss_vfl: 1.023234 loss_bbox: 0.446882 loss_dfl: 0.434586 loss: 1.932063 eta: 4:47:56 batch_cost: 0.8051 data_cost: 0.0062 ips: 79.4946 images/s
[03/19 18:47:23] ppdet.engine INFO: Epoch: [255] [440/458] learning_rate: 0.016787 loss_vfl: 0.992773 loss_bbox: 0.448744 loss_dfl: 0.416284 loss: 1.850612 eta: 4:47:38 batch_cost: 0.7242 data_cost: 0.0367 ips: 88.3696 images/s
[03/19 18:47:47] ppdet.engine INFO: Epoch: [256] [  0/458] learning_rate: 0.016758 loss_vfl: 0.942196 loss_bbox: 0.426832 loss_dfl: 0.406617 loss: 1.794783 eta: 4:47:24 batch_cost: 1.1780 data_cost: 0.6415 ips: 54.3273 images/s
[03/19 18:48:07] ppdet.engine INFO: Epoch: [256] [ 20/458] learning_rate: 0.016725 loss_vfl: 0.967814 loss_bbox: 0.429744 loss_dfl: 0.425168 loss: 1.819839 eta: 4:47:07 batch_cost: 0.8476 data_cost: 0.1728 ips: 75.5033 images/s
[03/19 18:48:27] ppdet.engine INFO: Epoch: [256] [ 40/458] learning_rate: 0.016693 loss_vfl: 1.003051 loss_bbox: 0.445327 loss_dfl: 0.421403 loss: 1.868326 eta: 4:46:50 batch_cost: 0.8525 data_cost: 0.2435 ips: 75.0757 images/s
[03/19 18:48:47] ppdet.engine INFO: Epoch: [256] [ 60/458] learning_rate: 0.016660 loss_vfl: 1.024657 loss_bbox: 0.448338 loss_dfl: 0.430123 loss: 1.890071 eta: 4:46:33 batch_cost: 0.8531 data_cost: 0.2004 ips: 75.0240 images/s
[03/19 18:49:07] ppdet.engine INFO: Epoch: [256] [ 80/458] learning_rate: 0.016627 loss_vfl: 0.995151 loss_bbox: 0.431446 loss_dfl: 0.423822 loss: 1.870327 eta: 4:46:15 batch_cost: 0.7733 data_cost: 0.0130 ips: 82.7639 images/s
[03/19 18:49:27] ppdet.engine INFO: Epoch: [256] [100/458] learning_rate: 0.016595 loss_vfl: 1.004145 loss_bbox: 0.460705 loss_dfl: 0.425537 loss: 1.867080 eta: 4:45:58 batch_cost: 0.8345 data_cost: 0.1726 ips: 76.6896 images/s
[03/19 18:49:45] ppdet.engine INFO: Epoch: [256] [120/458] learning_rate: 0.016562 loss_vfl: 0.959578 loss_bbox: 0.450057 loss_dfl: 0.431311 loss: 1.856103 eta: 4:45:41 batch_cost: 0.7551 data_cost: 0.1271 ips: 84.7586 images/s
[03/19 18:50:03] ppdet.engine INFO: Epoch: [256] [140/458] learning_rate: 0.016530 loss_vfl: 0.953561 loss_bbox: 0.421956 loss_dfl: 0.399245 loss: 1.762950 eta: 4:45:23 batch_cost: 0.7538 data_cost: 0.1985 ips: 84.9066 images/s
[03/19 18:50:23] ppdet.engine INFO: Epoch: [256] [160/458] learning_rate: 0.016498 loss_vfl: 0.983925 loss_bbox: 0.456228 loss_dfl: 0.413328 loss: 1.817331 eta: 4:45:06 batch_cost: 0.8447 data_cost: 0.2266 ips: 75.7624 images/s
[03/19 18:50:46] ppdet.engine INFO: Epoch: [256] [180/458] learning_rate: 0.016465 loss_vfl: 1.012572 loss_bbox: 0.453101 loss_dfl: 0.430075 loss: 1.898425 eta: 4:44:49 batch_cost: 0.9559 data_cost: 0.3745 ips: 66.9506 images/s
[03/19 18:51:04] ppdet.engine INFO: Epoch: [256] [200/458] learning_rate: 0.016433 loss_vfl: 0.972963 loss_bbox: 0.448022 loss_dfl: 0.417429 loss: 1.854677 eta: 4:44:32 batch_cost: 0.6911 data_cost: 0.1053 ips: 92.6034 images/s
[03/19 18:51:22] ppdet.engine INFO: Epoch: [256] [220/458] learning_rate: 0.016400 loss_vfl: 0.987406 loss_bbox: 0.446096 loss_dfl: 0.410584 loss: 1.828941 eta: 4:44:14 batch_cost: 0.7905 data_cost: 0.0948 ips: 80.9665 images/s
[03/19 18:51:41] ppdet.engine INFO: Epoch: [256] [240/458] learning_rate: 0.016368 loss_vfl: 1.000333 loss_bbox: 0.433340 loss_dfl: 0.414436 loss: 1.859321 eta: 4:43:57 batch_cost: 0.7490 data_cost: 0.1078 ips: 85.4469 images/s
[03/19 18:51:57] ppdet.engine INFO: Epoch: [256] [260/458] learning_rate: 0.016336 loss_vfl: 0.968151 loss_bbox: 0.456367 loss_dfl: 0.422147 loss: 1.847821 eta: 4:43:39 batch_cost: 0.7134 data_cost: 0.0093 ips: 89.7113 images/s
[03/19 18:52:13] ppdet.engine INFO: Epoch: [256] [280/458] learning_rate: 0.016303 loss_vfl: 0.979440 loss_bbox: 0.466462 loss_dfl: 0.428236 loss: 1.891255 eta: 4:43:21 batch_cost: 0.6711 data_cost: 0.0972 ips: 95.3639 images/s
[03/19 18:52:29] ppdet.engine INFO: Epoch: [256] [300/458] learning_rate: 0.016271 loss_vfl: 0.996705 loss_bbox: 0.435676 loss_dfl: 0.419978 loss: 1.846816 eta: 4:43:04 batch_cost: 0.7169 data_cost: 0.2125 ips: 89.2699 images/s
[03/19 18:52:48] ppdet.engine INFO: Epoch: [256] [320/458] learning_rate: 0.016239 loss_vfl: 1.011911 loss_bbox: 0.468685 loss_dfl: 0.437665 loss: 1.924069 eta: 4:42:47 batch_cost: 0.8036 data_cost: 0.1373 ips: 79.6398 images/s
[03/19 18:53:07] ppdet.engine INFO: Epoch: [256] [340/458] learning_rate: 0.016207 loss_vfl: 0.963180 loss_bbox: 0.450156 loss_dfl: 0.426253 loss: 1.841369 eta: 4:42:29 batch_cost: 0.7645 data_cost: 0.1146 ips: 83.7169 images/s
[03/19 18:53:28] ppdet.engine INFO: Epoch: [256] [360/458] learning_rate: 0.016175 loss_vfl: 0.949396 loss_bbox: 0.442734 loss_dfl: 0.409216 loss: 1.785179 eta: 4:42:12 batch_cost: 0.9581 data_cost: 0.2248 ips: 66.7957 images/s
[03/19 18:53:49] ppdet.engine INFO: Epoch: [256] [380/458] learning_rate: 0.016143 loss_vfl: 0.989262 loss_bbox: 0.431016 loss_dfl: 0.409098 loss: 1.824782 eta: 4:41:55 batch_cost: 0.8921 data_cost: 0.0045 ips: 71.7428 images/s
[03/19 18:54:08] ppdet.engine INFO: Epoch: [256] [400/458] learning_rate: 0.016111 loss_vfl: 0.986284 loss_bbox: 0.473081 loss_dfl: 0.424344 loss: 1.881575 eta: 4:41:38 batch_cost: 0.7848 data_cost: 0.1523 ips: 81.5546 images/s
[03/19 18:54:27] ppdet.engine INFO: Epoch: [256] [420/458] learning_rate: 0.016078 loss_vfl: 1.057279 loss_bbox: 0.471989 loss_dfl: 0.446471 loss: 1.984000 eta: 4:41:21 batch_cost: 0.8265 data_cost: 0.1733 ips: 77.4362 images/s
[03/19 18:54:48] ppdet.engine INFO: Epoch: [256] [440/458] learning_rate: 0.016046 loss_vfl: 0.993376 loss_bbox: 0.462114 loss_dfl: 0.423634 loss: 1.870903 eta: 4:41:04 batch_cost: 0.9744 data_cost: 0.3400 ips: 65.6807 images/s
[03/19 18:55:10] ppdet.engine INFO: Epoch: [257] [  0/458] learning_rate: 0.016018 loss_vfl: 1.021895 loss_bbox: 0.469994 loss_dfl: 0.432873 loss: 1.930627 eta: 4:40:49 batch_cost: 1.0246 data_cost: 0.5777 ips: 62.4649 images/s
[03/19 18:55:28] ppdet.engine INFO: Epoch: [257] [ 20/458] learning_rate: 0.015986 loss_vfl: 0.993525 loss_bbox: 0.442888 loss_dfl: 0.432773 loss: 1.849317 eta: 4:40:32 batch_cost: 0.7870 data_cost: 0.1071 ips: 81.3199 images/s
[03/19 18:55:49] ppdet.engine INFO: Epoch: [257] [ 40/458] learning_rate: 0.015954 loss_vfl: 0.929435 loss_bbox: 0.420903 loss_dfl: 0.400720 loss: 1.743735 eta: 4:40:15 batch_cost: 0.9522 data_cost: 0.3287 ips: 67.2097 images/s
[03/19 18:56:07] ppdet.engine INFO: Epoch: [257] [ 60/458] learning_rate: 0.015922 loss_vfl: 0.947545 loss_bbox: 0.436921 loss_dfl: 0.414232 loss: 1.778563 eta: 4:39:58 batch_cost: 0.7709 data_cost: 0.1467 ips: 83.0220 images/s
[03/19 18:56:24] ppdet.engine INFO: Epoch: [257] [ 80/458] learning_rate: 0.015890 loss_vfl: 0.964359 loss_bbox: 0.463038 loss_dfl: 0.436336 loss: 1.863322 eta: 4:39:40 batch_cost: 0.7658 data_cost: 0.1579 ips: 83.5764 images/s
[03/19 18:56:44] ppdet.engine INFO: Epoch: [257] [100/458] learning_rate: 0.015858 loss_vfl: 0.970812 loss_bbox: 0.435176 loss_dfl: 0.420181 loss: 1.817576 eta: 4:39:23 batch_cost: 0.8651 data_cost: 0.2627 ips: 73.9803 images/s
[03/19 18:57:04] ppdet.engine INFO: Epoch: [257] [120/458] learning_rate: 0.015826 loss_vfl: 1.034261 loss_bbox: 0.461932 loss_dfl: 0.431953 loss: 1.938473 eta: 4:39:06 batch_cost: 0.8501 data_cost: 0.2298 ips: 75.2816 images/s
[03/19 18:57:22] ppdet.engine INFO: Epoch: [257] [140/458] learning_rate: 0.015795 loss_vfl: 0.963991 loss_bbox: 0.437860 loss_dfl: 0.416173 loss: 1.833450 eta: 4:38:49 batch_cost: 0.7977 data_cost: 0.2507 ips: 80.2340 images/s
[03/19 18:57:43] ppdet.engine INFO: Epoch: [257] [160/458] learning_rate: 0.015763 loss_vfl: 0.980643 loss_bbox: 0.448424 loss_dfl: 0.430644 loss: 1.882619 eta: 4:38:32 batch_cost: 0.9341 data_cost: 0.2845 ips: 68.5178 images/s
[03/19 18:58:04] ppdet.engine INFO: Epoch: [257] [180/458] learning_rate: 0.015731 loss_vfl: 0.942835 loss_bbox: 0.435324 loss_dfl: 0.415116 loss: 1.784680 eta: 4:38:15 batch_cost: 0.8788 data_cost: 0.2554 ips: 72.8276 images/s
[03/19 18:58:23] ppdet.engine INFO: Epoch: [257] [200/458] learning_rate: 0.015699 loss_vfl: 0.972985 loss_bbox: 0.438604 loss_dfl: 0.412536 loss: 1.834533 eta: 4:37:58 batch_cost: 0.8618 data_cost: 0.2442 ips: 74.2606 images/s
[03/19 18:58:43] ppdet.engine INFO: Epoch: [257] [220/458] learning_rate: 0.015668 loss_vfl: 0.915112 loss_bbox: 0.417109 loss_dfl: 0.394952 loss: 1.738052 eta: 4:37:40 batch_cost: 0.8132 data_cost: 0.1456 ips: 78.7057 images/s
[03/19 18:59:04] ppdet.engine INFO: Epoch: [257] [240/458] learning_rate: 0.015636 loss_vfl: 1.001849 loss_bbox: 0.456376 loss_dfl: 0.428531 loss: 1.887804 eta: 4:37:24 batch_cost: 0.9434 data_cost: 0.3115 ips: 67.8382 images/s
[03/19 18:59:18] ppdet.engine INFO: Epoch: [257] [260/458] learning_rate: 0.015605 loss_vfl: 0.961875 loss_bbox: 0.450491 loss_dfl: 0.411985 loss: 1.851723 eta: 4:37:06 batch_cost: 0.6133 data_cost: 0.0511 ips: 104.3586 images/s
[03/19 18:59:34] ppdet.engine INFO: Epoch: [257] [280/458] learning_rate: 0.015573 loss_vfl: 0.971792 loss_bbox: 0.429673 loss_dfl: 0.413365 loss: 1.804470 eta: 4:36:48 batch_cost: 0.6759 data_cost: 0.1024 ips: 94.6866 images/s
[03/19 18:59:50] ppdet.engine INFO: Epoch: [257] [300/458] learning_rate: 0.015541 loss_vfl: 0.980778 loss_bbox: 0.438510 loss_dfl: 0.425295 loss: 1.873788 eta: 4:36:31 batch_cost: 0.7361 data_cost: 0.0590 ips: 86.9420 images/s
[03/19 19:00:07] ppdet.engine INFO: Epoch: [257] [320/458] learning_rate: 0.015510 loss_vfl: 0.957054 loss_bbox: 0.416076 loss_dfl: 0.404497 loss: 1.786034 eta: 4:36:13 batch_cost: 0.7420 data_cost: 0.0245 ips: 86.2504 images/s
[03/19 19:00:26] ppdet.engine INFO: Epoch: [257] [340/458] learning_rate: 0.015478 loss_vfl: 0.996051 loss_bbox: 0.454661 loss_dfl: 0.423407 loss: 1.853059 eta: 4:35:56 batch_cost: 0.8275 data_cost: 0.0679 ips: 77.3398 images/s
[03/19 19:00:45] ppdet.engine INFO: Epoch: [257] [360/458] learning_rate: 0.015447 loss_vfl: 0.967200 loss_bbox: 0.439154 loss_dfl: 0.422226 loss: 1.832207 eta: 4:35:38 batch_cost: 0.7589 data_cost: 0.0037 ips: 84.3373 images/s
[03/19 19:01:05] ppdet.engine INFO: Epoch: [257] [380/458] learning_rate: 0.015416 loss_vfl: 0.927798 loss_bbox: 0.421604 loss_dfl: 0.401782 loss: 1.763382 eta: 4:35:21 batch_cost: 0.8083 data_cost: 0.0045 ips: 79.1755 images/s
[03/19 19:01:25] ppdet.engine INFO: Epoch: [257] [400/458] learning_rate: 0.015384 loss_vfl: 0.998379 loss_bbox: 0.448417 loss_dfl: 0.411437 loss: 1.859722 eta: 4:35:04 batch_cost: 0.8802 data_cost: 0.0964 ips: 72.7116 images/s
[03/19 19:01:45] ppdet.engine INFO: Epoch: [257] [420/458] learning_rate: 0.015353 loss_vfl: 0.986593 loss_bbox: 0.441882 loss_dfl: 0.418357 loss: 1.851011 eta: 4:34:47 batch_cost: 0.9167 data_cost: 0.3007 ips: 69.8157 images/s
[03/19 19:02:04] ppdet.engine INFO: Epoch: [257] [440/458] learning_rate: 0.015321 loss_vfl: 0.954354 loss_bbox: 0.442811 loss_dfl: 0.414701 loss: 1.801404 eta: 4:34:30 batch_cost: 0.8409 data_cost: 0.2582 ips: 76.1072 images/s
[03/19 19:02:26] ppdet.engine INFO: Epoch: [258] [  0/458] learning_rate: 0.015293 loss_vfl: 1.006158 loss_bbox: 0.480513 loss_dfl: 0.435184 loss: 1.909693 eta: 4:34:15 batch_cost: 1.0129 data_cost: 0.4014 ips: 63.1869 images/s
[03/19 19:02:46] ppdet.engine INFO: Epoch: [258] [ 20/458] learning_rate: 0.015262 loss_vfl: 0.935664 loss_bbox: 0.423728 loss_dfl: 0.404238 loss: 1.765993 eta: 4:33:58 batch_cost: 0.8885 data_cost: 0.2122 ips: 72.0291 images/s
[03/19 19:03:04] ppdet.engine INFO: Epoch: [258] [ 40/458] learning_rate: 0.015231 loss_vfl: 0.979354 loss_bbox: 0.451615 loss_dfl: 0.429149 loss: 1.863503 eta: 4:33:41 batch_cost: 0.7457 data_cost: 0.2464 ips: 85.8199 images/s
[03/19 19:03:26] ppdet.engine INFO: Epoch: [258] [ 60/458] learning_rate: 0.015200 loss_vfl: 0.986604 loss_bbox: 0.438824 loss_dfl: 0.424526 loss: 1.855657 eta: 4:33:24 batch_cost: 0.9785 data_cost: 0.2113 ips: 65.4092 images/s
[03/19 19:03:45] ppdet.engine INFO: Epoch: [258] [ 80/458] learning_rate: 0.015168 loss_vfl: 0.981368 loss_bbox: 0.436295 loss_dfl: 0.414912 loss: 1.840177 eta: 4:33:07 batch_cost: 0.8268 data_cost: 0.2646 ips: 77.4030 images/s
[03/19 19:04:04] ppdet.engine INFO: Epoch: [258] [100/458] learning_rate: 0.015137 loss_vfl: 0.968558 loss_bbox: 0.432526 loss_dfl: 0.411495 loss: 1.814747 eta: 4:32:50 batch_cost: 0.8573 data_cost: 0.2874 ips: 74.6493 images/s
[03/19 19:04:24] ppdet.engine INFO: Epoch: [258] [120/458] learning_rate: 0.015106 loss_vfl: 0.989737 loss_bbox: 0.461060 loss_dfl: 0.424191 loss: 1.858849 eta: 4:32:33 batch_cost: 0.8211 data_cost: 0.1917 ips: 77.9462 images/s
[03/19 19:04:40] ppdet.engine INFO: Epoch: [258] [140/458] learning_rate: 0.015075 loss_vfl: 0.981529 loss_bbox: 0.417537 loss_dfl: 0.414079 loss: 1.811633 eta: 4:32:15 batch_cost: 0.7329 data_cost: 0.0457 ips: 87.3248 images/s
[03/19 19:05:00] ppdet.engine INFO: Epoch: [258] [160/458] learning_rate: 0.015044 loss_vfl: 0.934719 loss_bbox: 0.423739 loss_dfl: 0.410553 loss: 1.765885 eta: 4:31:58 batch_cost: 0.8146 data_cost: 0.1124 ips: 78.5680 images/s
[03/19 19:05:21] ppdet.engine INFO: Epoch: [258] [180/458] learning_rate: 0.015013 loss_vfl: 0.976339 loss_bbox: 0.431357 loss_dfl: 0.415087 loss: 1.847058 eta: 4:31:41 batch_cost: 0.9173 data_cost: 0.0457 ips: 69.7693 images/s
[03/19 19:05:40] ppdet.engine INFO: Epoch: [258] [200/458] learning_rate: 0.014982 loss_vfl: 0.956919 loss_bbox: 0.442322 loss_dfl: 0.421950 loss: 1.845821 eta: 4:31:24 batch_cost: 0.8214 data_cost: 0.1286 ips: 77.9123 images/s
[03/19 19:06:00] ppdet.engine INFO: Epoch: [258] [220/458] learning_rate: 0.014951 loss_vfl: 0.997815 loss_bbox: 0.454595 loss_dfl: 0.428863 loss: 1.864108 eta: 4:31:07 batch_cost: 0.8829 data_cost: 0.3502 ips: 72.4889 images/s
[03/19 19:06:20] ppdet.engine INFO: Epoch: [258] [240/458] learning_rate: 0.014920 loss_vfl: 0.989890 loss_bbox: 0.442759 loss_dfl: 0.417863 loss: 1.864923 eta: 4:30:50 batch_cost: 0.8337 data_cost: 0.2730 ips: 76.7676 images/s
[03/19 19:06:37] ppdet.engine INFO: Epoch: [258] [260/458] learning_rate: 0.014889 loss_vfl: 1.014300 loss_bbox: 0.461222 loss_dfl: 0.435516 loss: 1.916575 eta: 4:30:32 batch_cost: 0.7546 data_cost: 0.2875 ips: 84.8154 images/s
[03/19 19:06:53] ppdet.engine INFO: Epoch: [258] [280/458] learning_rate: 0.014858 loss_vfl: 0.989706 loss_bbox: 0.461162 loss_dfl: 0.416101 loss: 1.855372 eta: 4:30:14 batch_cost: 0.6967 data_cost: 0.0271 ips: 91.8604 images/s
[03/19 19:07:08] ppdet.engine INFO: Epoch: [258] [300/458] learning_rate: 0.014827 loss_vfl: 0.963650 loss_bbox: 0.442186 loss_dfl: 0.429256 loss: 1.836242 eta: 4:29:57 batch_cost: 0.6167 data_cost: 0.0037 ips: 103.7773 images/s
[03/19 19:07:27] ppdet.engine INFO: Epoch: [258] [320/458] learning_rate: 0.014797 loss_vfl: 0.978375 loss_bbox: 0.439036 loss_dfl: 0.421981 loss: 1.836715 eta: 4:29:39 batch_cost: 0.8227 data_cost: 0.0042 ips: 77.7926 images/s
[03/19 19:07:45] ppdet.engine INFO: Epoch: [258] [340/458] learning_rate: 0.014766 loss_vfl: 0.995519 loss_bbox: 0.448851 loss_dfl: 0.428912 loss: 1.890166 eta: 4:29:22 batch_cost: 0.8161 data_cost: 0.1712 ips: 78.4192 images/s
[03/19 19:08:05] ppdet.engine INFO: Epoch: [258] [360/458] learning_rate: 0.014735 loss_vfl: 0.990980 loss_bbox: 0.458147 loss_dfl: 0.415424 loss: 1.851147 eta: 4:29:05 batch_cost: 0.8163 data_cost: 0.2717 ips: 78.3991 images/s
[03/19 19:08:25] ppdet.engine INFO: Epoch: [258] [380/458] learning_rate: 0.014704 loss_vfl: 1.005400 loss_bbox: 0.458303 loss_dfl: 0.441153 loss: 1.922860 eta: 4:28:48 batch_cost: 0.8208 data_cost: 0.0910 ips: 77.9736 images/s
[03/19 19:08:43] ppdet.engine INFO: Epoch: [258] [400/458] learning_rate: 0.014674 loss_vfl: 1.001089 loss_bbox: 0.453892 loss_dfl: 0.440028 loss: 1.902697 eta: 4:28:30 batch_cost: 0.7863 data_cost: 0.0893 ips: 81.3945 images/s
[03/19 19:09:05] ppdet.engine INFO: Epoch: [258] [420/458] learning_rate: 0.014643 loss_vfl: 0.971727 loss_bbox: 0.438859 loss_dfl: 0.411825 loss: 1.828337 eta: 4:28:14 batch_cost: 0.9844 data_cost: 0.2950 ips: 65.0147 images/s
[03/19 19:09:24] ppdet.engine INFO: Epoch: [258] [440/458] learning_rate: 0.014612 loss_vfl: 0.976627 loss_bbox: 0.434941 loss_dfl: 0.418535 loss: 1.812344 eta: 4:27:56 batch_cost: 0.8206 data_cost: 0.1915 ips: 77.9912 images/s
[03/19 19:09:45] ppdet.engine INFO: Epoch: [259] [  0/458] learning_rate: 0.014585 loss_vfl: 0.985539 loss_bbox: 0.424280 loss_dfl: 0.426223 loss: 1.848467 eta: 4:27:42 batch_cost: 1.0150 data_cost: 0.4453 ips: 63.0526 images/s
[03/19 19:10:04] ppdet.engine INFO: Epoch: [259] [ 20/458] learning_rate: 0.014554 loss_vfl: 0.970753 loss_bbox: 0.468091 loss_dfl: 0.425621 loss: 1.873327 eta: 4:27:24 batch_cost: 0.8017 data_cost: 0.0049 ips: 79.8339 images/s
[03/19 19:10:26] ppdet.engine INFO: Epoch: [259] [ 40/458] learning_rate: 0.014524 loss_vfl: 0.983806 loss_bbox: 0.466705 loss_dfl: 0.432715 loss: 1.876983 eta: 4:27:07 batch_cost: 0.9330 data_cost: 0.0400 ips: 68.5978 images/s
[03/19 19:10:44] ppdet.engine INFO: Epoch: [259] [ 60/458] learning_rate: 0.014493 loss_vfl: 0.995408 loss_bbox: 0.437727 loss_dfl: 0.416504 loss: 1.860480 eta: 4:26:50 batch_cost: 0.7763 data_cost: 0.1239 ips: 82.4397 images/s
[03/19 19:11:07] ppdet.engine INFO: Epoch: [259] [ 80/458] learning_rate: 0.014463 loss_vfl: 0.990193 loss_bbox: 0.451758 loss_dfl: 0.418051 loss: 1.843177 eta: 4:26:33 batch_cost: 1.0099 data_cost: 0.1743 ips: 63.3714 images/s
[03/19 19:11:27] ppdet.engine INFO: Epoch: [259] [100/458] learning_rate: 0.014432 loss_vfl: 0.985127 loss_bbox: 0.427619 loss_dfl: 0.409183 loss: 1.792171 eta: 4:26:16 batch_cost: 0.8369 data_cost: 0.1035 ips: 76.4771 images/s
[03/19 19:11:45] ppdet.engine INFO: Epoch: [259] [120/458] learning_rate: 0.014402 loss_vfl: 0.975017 loss_bbox: 0.433735 loss_dfl: 0.416759 loss: 1.814978 eta: 4:25:59 batch_cost: 0.8162 data_cost: 0.2182 ips: 78.4146 images/s
[03/19 19:12:05] ppdet.engine INFO: Epoch: [259] [140/458] learning_rate: 0.014372 loss_vfl: 1.018261 loss_bbox: 0.455743 loss_dfl: 0.433038 loss: 1.914430 eta: 4:25:42 batch_cost: 0.9016 data_cost: 0.2575 ips: 70.9871 images/s
[03/19 19:12:26] ppdet.engine INFO: Epoch: [259] [160/458] learning_rate: 0.014341 loss_vfl: 0.929430 loss_bbox: 0.419460 loss_dfl: 0.393970 loss: 1.749438 eta: 4:25:25 batch_cost: 0.9116 data_cost: 0.2505 ips: 70.2096 images/s
[03/19 19:12:45] ppdet.engine INFO: Epoch: [259] [180/458] learning_rate: 0.014311 loss_vfl: 0.917580 loss_bbox: 0.424301 loss_dfl: 0.391904 loss: 1.714168 eta: 4:25:08 batch_cost: 0.8022 data_cost: 0.2314 ips: 79.7850 images/s
[03/19 19:13:04] ppdet.engine INFO: Epoch: [259] [200/458] learning_rate: 0.014281 loss_vfl: 0.957236 loss_bbox: 0.431315 loss_dfl: 0.417411 loss: 1.818000 eta: 4:24:51 batch_cost: 0.8047 data_cost: 0.2015 ips: 79.5360 images/s
[03/19 19:13:25] ppdet.engine INFO: Epoch: [259] [220/458] learning_rate: 0.014250 loss_vfl: 0.996236 loss_bbox: 0.450270 loss_dfl: 0.420731 loss: 1.852611 eta: 4:24:34 batch_cost: 0.8687 data_cost: 0.1916 ips: 73.6741 images/s
[03/19 19:13:40] ppdet.engine INFO: Epoch: [259] [240/458] learning_rate: 0.014220 loss_vfl: 0.991554 loss_bbox: 0.461483 loss_dfl: 0.433391 loss: 1.879886 eta: 4:24:16 batch_cost: 0.6725 data_cost: 0.1331 ips: 95.1742 images/s
[03/19 19:13:58] ppdet.engine INFO: Epoch: [259] [260/458] learning_rate: 0.014190 loss_vfl: 0.959420 loss_bbox: 0.420359 loss_dfl: 0.404108 loss: 1.792000 eta: 4:23:59 batch_cost: 0.7833 data_cost: 0.2936 ips: 81.7040 images/s
[03/19 19:14:13] ppdet.engine INFO: Epoch: [259] [280/458] learning_rate: 0.014160 loss_vfl: 0.986391 loss_bbox: 0.436828 loss_dfl: 0.416348 loss: 1.850457 eta: 4:23:41 batch_cost: 0.6541 data_cost: 0.1601 ips: 97.8504 images/s
[03/19 19:14:29] ppdet.engine INFO: Epoch: [259] [300/458] learning_rate: 0.014129 loss_vfl: 0.993698 loss_bbox: 0.429651 loss_dfl: 0.416165 loss: 1.815468 eta: 4:23:23 batch_cost: 0.7490 data_cost: 0.2630 ips: 85.4435 images/s
[03/19 19:14:50] ppdet.engine INFO: Epoch: [259] [320/458] learning_rate: 0.014099 loss_vfl: 1.044874 loss_bbox: 0.446659 loss_dfl: 0.415662 loss: 1.859200 eta: 4:23:06 batch_cost: 0.9071 data_cost: 0.2798 ips: 70.5522 images/s
[03/19 19:15:09] ppdet.engine INFO: Epoch: [259] [340/458] learning_rate: 0.014069 loss_vfl: 1.013200 loss_bbox: 0.445911 loss_dfl: 0.427713 loss: 1.877137 eta: 4:22:49 batch_cost: 0.8348 data_cost: 0.2717 ips: 76.6623 images/s
[03/19 19:15:28] ppdet.engine INFO: Epoch: [259] [360/458] learning_rate: 0.014039 loss_vfl: 0.982004 loss_bbox: 0.433916 loss_dfl: 0.418488 loss: 1.819049 eta: 4:22:32 batch_cost: 0.8931 data_cost: 0.2576 ips: 71.6611 images/s
[03/19 19:15:48] ppdet.engine INFO: Epoch: [259] [380/458] learning_rate: 0.014009 loss_vfl: 1.024388 loss_bbox: 0.481621 loss_dfl: 0.454930 loss: 1.968576 eta: 4:22:15 batch_cost: 0.8856 data_cost: 0.1862 ips: 72.2660 images/s
[03/19 19:16:06] ppdet.engine INFO: Epoch: [259] [400/458] learning_rate: 0.013979 loss_vfl: 1.003327 loss_bbox: 0.446184 loss_dfl: 0.431733 loss: 1.896978 eta: 4:21:58 batch_cost: 0.7842 data_cost: 0.1979 ips: 81.6110 images/s
[03/19 19:16:27] ppdet.engine INFO: Epoch: [259] [420/458] learning_rate: 0.013949 loss_vfl: 1.015508 loss_bbox: 0.465658 loss_dfl: 0.441139 loss: 1.926265 eta: 4:21:41 batch_cost: 0.9119 data_cost: 0.3072 ips: 70.1862 images/s
[03/19 19:16:46] ppdet.engine INFO: Epoch: [259] [440/458] learning_rate: 0.013919 loss_vfl: 1.021455 loss_bbox: 0.456712 loss_dfl: 0.429285 loss: 1.922120 eta: 4:21:24 batch_cost: 0.8239 data_cost: 0.3037 ips: 77.6756 images/s
[03/19 19:16:59] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 19:16:59] ppdet.engine INFO: Eval iter: 0
[03/19 19:17:18] ppdet.engine INFO: Eval iter: 100
[03/19 19:17:27] ppdet.engine INFO: Eval iter: 200
[03/19 19:17:36] ppdet.engine INFO: Eval iter: 300
[03/19 19:17:45] ppdet.engine INFO: Eval iter: 400
[03/19 19:17:54] ppdet.engine INFO: Eval iter: 500
[03/19 19:18:04] ppdet.engine INFO: Eval iter: 600
[03/19 19:18:18] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.59s)
creating index...
index created!
[03/19 19:18:18] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.83s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.92s).
Accumulating evaluation results...
DONE (t=16.05s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.234
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.359
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.243
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.065
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.230
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.410
 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 ] = 0.377
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.399
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.118
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.439
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.668
[03/19 19:19:59] ppdet.engine INFO: Total sample number: 4952, averge FPS: 73.53528219016833
[03/19 19:19:59] ppdet.engine INFO: Best test bbox ap is 0.234.
[03/19 19:19:59] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 19:19:59] ppdet.engine INFO: Epoch: [260] [  0/458] learning_rate: 0.013892 loss_vfl: 0.941669 loss_bbox: 0.463994 loss_dfl: 0.406501 loss: 1.790237 eta: 4:21:08 batch_cost: 0.5383 data_cost: 0.0680 ips: 118.8835 images/s
[03/19 19:20:14] ppdet.engine INFO: Epoch: [260] [ 20/458] learning_rate: 0.013863 loss_vfl: 0.995887 loss_bbox: 0.448301 loss_dfl: 0.423788 loss: 1.848957 eta: 4:20:50 batch_cost: 0.5778 data_cost: 0.0186 ips: 110.7683 images/s
[03/19 19:20:35] ppdet.engine INFO: Epoch: [260] [ 40/458] learning_rate: 0.013833 loss_vfl: 0.988153 loss_bbox: 0.442146 loss_dfl: 0.419649 loss: 1.831760 eta: 4:20:33 batch_cost: 0.8811 data_cost: 0.0618 ips: 72.6329 images/s
[03/19 19:20:50] ppdet.engine INFO: Epoch: [260] [ 60/458] learning_rate: 0.013803 loss_vfl: 1.002170 loss_bbox: 0.443233 loss_dfl: 0.429307 loss: 1.886608 eta: 4:20:15 batch_cost: 0.7168 data_cost: 0.2320 ips: 89.2829 images/s
[03/19 19:21:06] ppdet.engine INFO: Epoch: [260] [ 80/458] learning_rate: 0.013773 loss_vfl: 0.976758 loss_bbox: 0.416706 loss_dfl: 0.407265 loss: 1.780797 eta: 4:19:57 batch_cost: 0.6569 data_cost: 0.1924 ips: 97.4322 images/s
[03/19 19:21:23] ppdet.engine INFO: Epoch: [260] [100/458] learning_rate: 0.013743 loss_vfl: 0.973669 loss_bbox: 0.441866 loss_dfl: 0.414265 loss: 1.801391 eta: 4:19:40 batch_cost: 0.7620 data_cost: 0.2225 ips: 83.9843 images/s
[03/19 19:21:42] ppdet.engine INFO: Epoch: [260] [120/458] learning_rate: 0.013714 loss_vfl: 0.967328 loss_bbox: 0.437136 loss_dfl: 0.409691 loss: 1.806206 eta: 4:19:23 batch_cost: 0.8523 data_cost: 0.2365 ips: 75.0897 images/s
[03/19 19:22:01] ppdet.engine INFO: Epoch: [260] [140/458] learning_rate: 0.013684 loss_vfl: 0.995763 loss_bbox: 0.445482 loss_dfl: 0.428193 loss: 1.868615 eta: 4:19:06 batch_cost: 0.7907 data_cost: 0.1405 ips: 80.9369 images/s
[03/19 19:22:22] ppdet.engine INFO: Epoch: [260] [160/458] learning_rate: 0.013654 loss_vfl: 0.976796 loss_bbox: 0.449597 loss_dfl: 0.419246 loss: 1.833441 eta: 4:18:49 batch_cost: 0.9120 data_cost: 0.3136 ips: 70.1722 images/s
[03/19 19:22:42] ppdet.engine INFO: Epoch: [260] [180/458] learning_rate: 0.013625 loss_vfl: 1.014229 loss_bbox: 0.439065 loss_dfl: 0.425706 loss: 1.893707 eta: 4:18:32 batch_cost: 0.8822 data_cost: 0.2439 ips: 72.5490 images/s
[03/19 19:23:05] ppdet.engine INFO: Epoch: [260] [200/458] learning_rate: 0.013595 loss_vfl: 0.975462 loss_bbox: 0.448039 loss_dfl: 0.418529 loss: 1.840323 eta: 4:18:15 batch_cost: 1.0079 data_cost: 0.4874 ips: 63.4977 images/s
[03/19 19:23:23] ppdet.engine INFO: Epoch: [260] [220/458] learning_rate: 0.013566 loss_vfl: 0.982211 loss_bbox: 0.459598 loss_dfl: 0.424975 loss: 1.859513 eta: 4:17:58 batch_cost: 0.7602 data_cost: 0.2235 ips: 84.1888 images/s
[03/19 19:23:43] ppdet.engine INFO: Epoch: [260] [240/458] learning_rate: 0.013536 loss_vfl: 1.038906 loss_bbox: 0.463706 loss_dfl: 0.441207 loss: 1.955131 eta: 4:17:41 batch_cost: 0.8970 data_cost: 0.3455 ips: 71.3502 images/s
[03/19 19:24:02] ppdet.engine INFO: Epoch: [260] [260/458] learning_rate: 0.013507 loss_vfl: 1.037237 loss_bbox: 0.455842 loss_dfl: 0.444287 loss: 1.931200 eta: 4:17:23 batch_cost: 0.7808 data_cost: 0.2304 ips: 81.9675 images/s
[03/19 19:24:22] ppdet.engine INFO: Epoch: [260] [280/458] learning_rate: 0.013477 loss_vfl: 0.994935 loss_bbox: 0.423410 loss_dfl: 0.411743 loss: 1.849291 eta: 4:17:06 batch_cost: 0.9037 data_cost: 0.1656 ips: 70.8180 images/s
[03/19 19:24:41] ppdet.engine INFO: Epoch: [260] [300/458] learning_rate: 0.013448 loss_vfl: 0.952003 loss_bbox: 0.440143 loss_dfl: 0.419888 loss: 1.817489 eta: 4:16:49 batch_cost: 0.8475 data_cost: 0.2744 ips: 75.5199 images/s
[03/19 19:25:03] ppdet.engine INFO: Epoch: [260] [320/458] learning_rate: 0.013418 loss_vfl: 0.932723 loss_bbox: 0.419581 loss_dfl: 0.400637 loss: 1.765390 eta: 4:16:32 batch_cost: 0.9429 data_cost: 0.3407 ips: 67.8790 images/s
[03/19 19:25:20] ppdet.engine INFO: Epoch: [260] [340/458] learning_rate: 0.013389 loss_vfl: 0.948475 loss_bbox: 0.424628 loss_dfl: 0.404558 loss: 1.766587 eta: 4:16:15 batch_cost: 0.7461 data_cost: 0.1721 ips: 85.7747 images/s
[03/19 19:25:39] ppdet.engine INFO: Epoch: [260] [360/458] learning_rate: 0.013359 loss_vfl: 0.966852 loss_bbox: 0.435706 loss_dfl: 0.400539 loss: 1.804862 eta: 4:15:58 batch_cost: 0.7823 data_cost: 0.1334 ips: 81.8137 images/s
[03/19 19:25:59] ppdet.engine INFO: Epoch: [260] [380/458] learning_rate: 0.013330 loss_vfl: 0.999401 loss_bbox: 0.461864 loss_dfl: 0.428439 loss: 1.867391 eta: 4:15:41 batch_cost: 0.9052 data_cost: 0.3858 ips: 70.7027 images/s
[03/19 19:26:20] ppdet.engine INFO: Epoch: [260] [400/458] learning_rate: 0.013301 loss_vfl: 1.039739 loss_bbox: 0.486094 loss_dfl: 0.449570 loss: 1.984929 eta: 4:15:24 batch_cost: 0.9296 data_cost: 0.2963 ips: 68.8434 images/s
[03/19 19:26:41] ppdet.engine INFO: Epoch: [260] [420/458] learning_rate: 0.013272 loss_vfl: 0.989084 loss_bbox: 0.457758 loss_dfl: 0.430119 loss: 1.856498 eta: 4:15:07 batch_cost: 0.9146 data_cost: 0.3266 ips: 69.9779 images/s
[03/19 19:27:01] ppdet.engine INFO: Epoch: [260] [440/458] learning_rate: 0.013242 loss_vfl: 1.023587 loss_bbox: 0.473326 loss_dfl: 0.435626 loss: 1.955248 eta: 4:14:50 batch_cost: 0.9111 data_cost: 0.3207 ips: 70.2440 images/s
[03/19 19:27:20] ppdet.engine INFO: Epoch: [261] [  0/458] learning_rate: 0.013216 loss_vfl: 0.966058 loss_bbox: 0.446532 loss_dfl: 0.410860 loss: 1.821784 eta: 4:14:35 batch_cost: 0.9528 data_cost: 0.5302 ips: 67.1675 images/s
[03/19 19:27:38] ppdet.engine INFO: Epoch: [261] [ 20/458] learning_rate: 0.013187 loss_vfl: 0.943867 loss_bbox: 0.419536 loss_dfl: 0.409670 loss: 1.775318 eta: 4:14:17 batch_cost: 0.7258 data_cost: 0.0926 ips: 88.1777 images/s
[03/19 19:27:55] ppdet.engine INFO: Epoch: [261] [ 40/458] learning_rate: 0.013158 loss_vfl: 0.959213 loss_bbox: 0.432455 loss_dfl: 0.413057 loss: 1.802461 eta: 4:14:00 batch_cost: 0.7712 data_cost: 0.2317 ips: 82.9926 images/s
[03/19 19:28:11] ppdet.engine INFO: Epoch: [261] [ 60/458] learning_rate: 0.013129 loss_vfl: 0.990662 loss_bbox: 0.428064 loss_dfl: 0.416068 loss: 1.817733 eta: 4:13:42 batch_cost: 0.6746 data_cost: 0.1710 ips: 94.8685 images/s
[03/19 19:28:24] ppdet.engine INFO: Epoch: [261] [ 80/458] learning_rate: 0.013100 loss_vfl: 0.987232 loss_bbox: 0.452128 loss_dfl: 0.429830 loss: 1.869896 eta: 4:13:24 batch_cost: 0.5958 data_cost: 0.0693 ips: 107.4168 images/s
[03/19 19:28:44] ppdet.engine INFO: Epoch: [261] [100/458] learning_rate: 0.013071 loss_vfl: 0.968978 loss_bbox: 0.430306 loss_dfl: 0.416408 loss: 1.835243 eta: 4:13:07 batch_cost: 0.8456 data_cost: 0.1307 ips: 75.6886 images/s
[03/19 19:29:05] ppdet.engine INFO: Epoch: [261] [120/458] learning_rate: 0.013042 loss_vfl: 1.009526 loss_bbox: 0.439121 loss_dfl: 0.428016 loss: 1.890322 eta: 4:12:50 batch_cost: 0.9384 data_cost: 0.1653 ips: 68.2019 images/s
[03/19 19:29:26] ppdet.engine INFO: Epoch: [261] [140/458] learning_rate: 0.013013 loss_vfl: 0.958870 loss_bbox: 0.448726 loss_dfl: 0.419496 loss: 1.828953 eta: 4:12:34 batch_cost: 0.9731 data_cost: 0.0011 ips: 65.7684 images/s
[03/19 19:29:46] ppdet.engine INFO: Epoch: [261] [160/458] learning_rate: 0.012984 loss_vfl: 1.032747 loss_bbox: 0.453612 loss_dfl: 0.436986 loss: 1.910071 eta: 4:12:17 batch_cost: 0.9101 data_cost: 0.0461 ips: 70.3227 images/s
[03/19 19:30:09] ppdet.engine INFO: Epoch: [261] [180/458] learning_rate: 0.012955 loss_vfl: 1.007912 loss_bbox: 0.458524 loss_dfl: 0.428220 loss: 1.897447 eta: 4:12:00 batch_cost: 1.0261 data_cost: 0.4674 ips: 62.3710 images/s
[03/19 19:30:31] ppdet.engine INFO: Epoch: [261] [200/458] learning_rate: 0.012926 loss_vfl: 0.986804 loss_bbox: 0.437577 loss_dfl: 0.422994 loss: 1.847849 eta: 4:11:43 batch_cost: 1.0033 data_cost: 0.3987 ips: 63.7925 images/s
[03/19 19:30:49] ppdet.engine INFO: Epoch: [261] [220/458] learning_rate: 0.012897 loss_vfl: 0.966867 loss_bbox: 0.431482 loss_dfl: 0.407546 loss: 1.799329 eta: 4:11:26 batch_cost: 0.8492 data_cost: 0.3384 ips: 75.3634 images/s
[03/19 19:31:12] ppdet.engine INFO: Epoch: [261] [240/458] learning_rate: 0.012868 loss_vfl: 0.978636 loss_bbox: 0.434546 loss_dfl: 0.412948 loss: 1.832545 eta: 4:11:10 batch_cost: 1.0242 data_cost: 0.4692 ips: 62.4898 images/s
[03/19 19:31:30] ppdet.engine INFO: Epoch: [261] [260/458] learning_rate: 0.012839 loss_vfl: 0.996399 loss_bbox: 0.443702 loss_dfl: 0.425772 loss: 1.841389 eta: 4:10:52 batch_cost: 0.8241 data_cost: 0.2976 ips: 77.6600 images/s
[03/19 19:31:50] ppdet.engine INFO: Epoch: [261] [280/458] learning_rate: 0.012811 loss_vfl: 0.963612 loss_bbox: 0.430617 loss_dfl: 0.418253 loss: 1.842880 eta: 4:10:36 batch_cost: 0.9118 data_cost: 0.3438 ips: 70.1898 images/s
[03/19 19:32:11] ppdet.engine INFO: Epoch: [261] [300/458] learning_rate: 0.012782 loss_vfl: 0.940080 loss_bbox: 0.431767 loss_dfl: 0.411403 loss: 1.807026 eta: 4:10:19 batch_cost: 0.9931 data_cost: 0.4773 ips: 64.4429 images/s
[03/19 19:32:31] ppdet.engine INFO: Epoch: [261] [320/458] learning_rate: 0.012753 loss_vfl: 1.024894 loss_bbox: 0.459089 loss_dfl: 0.440642 loss: 1.915798 eta: 4:10:02 batch_cost: 0.8909 data_cost: 0.3599 ips: 71.8397 images/s
[03/19 19:32:53] ppdet.engine INFO: Epoch: [261] [340/458] learning_rate: 0.012724 loss_vfl: 1.036134 loss_bbox: 0.453855 loss_dfl: 0.436129 loss: 1.943066 eta: 4:09:45 batch_cost: 1.0349 data_cost: 0.5043 ips: 61.8408 images/s
[03/19 19:33:12] ppdet.engine INFO: Epoch: [261] [360/458] learning_rate: 0.012696 loss_vfl: 1.031819 loss_bbox: 0.477545 loss_dfl: 0.442723 loss: 1.929262 eta: 4:09:28 batch_cost: 0.8544 data_cost: 0.3237 ips: 74.9030 images/s
[03/19 19:33:29] ppdet.engine INFO: Epoch: [261] [380/458] learning_rate: 0.012667 loss_vfl: 0.986110 loss_bbox: 0.441368 loss_dfl: 0.418543 loss: 1.851485 eta: 4:09:11 batch_cost: 0.7905 data_cost: 0.2827 ips: 80.9658 images/s
[03/19 19:33:50] ppdet.engine INFO: Epoch: [261] [400/458] learning_rate: 0.012639 loss_vfl: 0.923212 loss_bbox: 0.420077 loss_dfl: 0.400717 loss: 1.748314 eta: 4:08:54 batch_cost: 0.9079 data_cost: 0.2819 ips: 70.4928 images/s
[03/19 19:34:08] ppdet.engine INFO: Epoch: [261] [420/458] learning_rate: 0.012610 loss_vfl: 0.943452 loss_bbox: 0.443582 loss_dfl: 0.412844 loss: 1.791296 eta: 4:08:37 batch_cost: 0.8487 data_cost: 0.3065 ips: 75.4057 images/s
[03/19 19:34:29] ppdet.engine INFO: Epoch: [261] [440/458] learning_rate: 0.012582 loss_vfl: 0.965958 loss_bbox: 0.434348 loss_dfl: 0.411120 loss: 1.830438 eta: 4:08:20 batch_cost: 0.9417 data_cost: 0.2853 ips: 67.9598 images/s
[03/19 19:34:52] ppdet.engine INFO: Epoch: [262] [  0/458] learning_rate: 0.012556 loss_vfl: 0.964357 loss_bbox: 0.432682 loss_dfl: 0.412935 loss: 1.842695 eta: 4:08:05 batch_cost: 1.0979 data_cost: 0.5898 ips: 58.2942 images/s
[03/19 19:35:10] ppdet.engine INFO: Epoch: [262] [ 20/458] learning_rate: 0.012527 loss_vfl: 0.951139 loss_bbox: 0.428875 loss_dfl: 0.411713 loss: 1.791675 eta: 4:07:48 batch_cost: 0.8144 data_cost: 0.0023 ips: 78.5864 images/s
[03/19 19:35:24] ppdet.engine INFO: Epoch: [262] [ 40/458] learning_rate: 0.012499 loss_vfl: 0.943728 loss_bbox: 0.415835 loss_dfl: 0.401974 loss: 1.764828 eta: 4:07:30 batch_cost: 0.5880 data_cost: 0.0009 ips: 108.8456 images/s
[03/19 19:35:40] ppdet.engine INFO: Epoch: [262] [ 60/458] learning_rate: 0.012471 loss_vfl: 0.951918 loss_bbox: 0.442948 loss_dfl: 0.407857 loss: 1.813400 eta: 4:07:13 batch_cost: 0.6793 data_cost: 0.0648 ips: 94.2104 images/s
[03/19 19:35:58] ppdet.engine INFO: Epoch: [262] [ 80/458] learning_rate: 0.012442 loss_vfl: 0.990613 loss_bbox: 0.442720 loss_dfl: 0.427581 loss: 1.884727 eta: 4:06:55 batch_cost: 0.7956 data_cost: 0.0123 ips: 80.4396 images/s
[03/19 19:36:19] ppdet.engine INFO: Epoch: [262] [100/458] learning_rate: 0.012414 loss_vfl: 0.925215 loss_bbox: 0.417634 loss_dfl: 0.397966 loss: 1.736817 eta: 4:06:38 batch_cost: 0.9442 data_cost: 0.2985 ips: 67.7824 images/s
[03/19 19:36:38] ppdet.engine INFO: Epoch: [262] [120/458] learning_rate: 0.012386 loss_vfl: 1.002943 loss_bbox: 0.453224 loss_dfl: 0.426833 loss: 1.907653 eta: 4:06:21 batch_cost: 0.8863 data_cost: 0.3809 ips: 72.2067 images/s
[03/19 19:36:56] ppdet.engine INFO: Epoch: [262] [140/458] learning_rate: 0.012357 loss_vfl: 0.990396 loss_bbox: 0.455325 loss_dfl: 0.431435 loss: 1.902304 eta: 4:06:04 batch_cost: 0.7980 data_cost: 0.2149 ips: 80.1985 images/s
[03/19 19:37:19] ppdet.engine INFO: Epoch: [262] [160/458] learning_rate: 0.012329 loss_vfl: 1.003039 loss_bbox: 0.452892 loss_dfl: 0.441674 loss: 1.891097 eta: 4:05:48 batch_cost: 1.0379 data_cost: 0.4372 ips: 61.6649 images/s
[03/19 19:37:39] ppdet.engine INFO: Epoch: [262] [180/458] learning_rate: 0.012301 loss_vfl: 0.961950 loss_bbox: 0.449376 loss_dfl: 0.423547 loss: 1.829015 eta: 4:05:31 batch_cost: 0.8980 data_cost: 0.3497 ips: 71.2676 images/s
[03/19 19:37:57] ppdet.engine INFO: Epoch: [262] [200/458] learning_rate: 0.012273 loss_vfl: 0.920374 loss_bbox: 0.414432 loss_dfl: 0.409453 loss: 1.746314 eta: 4:05:13 batch_cost: 0.8022 data_cost: 0.1734 ips: 79.7843 images/s
[03/19 19:38:17] ppdet.engine INFO: Epoch: [262] [220/458] learning_rate: 0.012245 loss_vfl: 0.941270 loss_bbox: 0.418942 loss_dfl: 0.397509 loss: 1.764687 eta: 4:04:57 batch_cost: 0.9569 data_cost: 0.3976 ips: 66.8796 images/s
[03/19 19:38:36] ppdet.engine INFO: Epoch: [262] [240/458] learning_rate: 0.012216 loss_vfl: 0.974417 loss_bbox: 0.427387 loss_dfl: 0.403309 loss: 1.794071 eta: 4:04:39 batch_cost: 0.8118 data_cost: 0.3212 ips: 78.8395 images/s
[03/19 19:38:57] ppdet.engine INFO: Epoch: [262] [260/458] learning_rate: 0.012188 loss_vfl: 1.018577 loss_bbox: 0.449176 loss_dfl: 0.436609 loss: 1.897450 eta: 4:04:22 batch_cost: 0.9626 data_cost: 0.3407 ips: 66.4836 images/s
[03/19 19:39:15] ppdet.engine INFO: Epoch: [262] [280/458] learning_rate: 0.012160 loss_vfl: 1.034217 loss_bbox: 0.444383 loss_dfl: 0.428522 loss: 1.911392 eta: 4:04:05 batch_cost: 0.8115 data_cost: 0.2789 ips: 78.8680 images/s
[03/19 19:39:36] ppdet.engine INFO: Epoch: [262] [300/458] learning_rate: 0.012132 loss_vfl: 0.952637 loss_bbox: 0.437399 loss_dfl: 0.408995 loss: 1.784019 eta: 4:03:48 batch_cost: 0.9759 data_cost: 0.3780 ips: 65.5799 images/s
[03/19 19:39:55] ppdet.engine INFO: Epoch: [262] [320/458] learning_rate: 0.012104 loss_vfl: 0.946984 loss_bbox: 0.432943 loss_dfl: 0.409622 loss: 1.785676 eta: 4:03:31 batch_cost: 0.8892 data_cost: 0.2764 ips: 71.9751 images/s
[03/19 19:40:16] ppdet.engine INFO: Epoch: [262] [340/458] learning_rate: 0.012076 loss_vfl: 0.945893 loss_bbox: 0.415777 loss_dfl: 0.413576 loss: 1.780035 eta: 4:03:15 batch_cost: 0.9310 data_cost: 0.2475 ips: 68.7422 images/s
[03/19 19:40:34] ppdet.engine INFO: Epoch: [262] [360/458] learning_rate: 0.012048 loss_vfl: 1.017433 loss_bbox: 0.452480 loss_dfl: 0.430877 loss: 1.913059 eta: 4:02:57 batch_cost: 0.8073 data_cost: 0.2961 ips: 79.2790 images/s
[03/19 19:40:54] ppdet.engine INFO: Epoch: [262] [380/458] learning_rate: 0.012021 loss_vfl: 0.928598 loss_bbox: 0.422311 loss_dfl: 0.411176 loss: 1.757215 eta: 4:02:40 batch_cost: 0.9308 data_cost: 0.3117 ips: 68.7589 images/s
[03/19 19:41:14] ppdet.engine INFO: Epoch: [262] [400/458] learning_rate: 0.011993 loss_vfl: 0.956075 loss_bbox: 0.450470 loss_dfl: 0.410562 loss: 1.762637 eta: 4:02:24 batch_cost: 0.9280 data_cost: 0.3183 ips: 68.9642 images/s
[03/19 19:41:31] ppdet.engine INFO: Epoch: [262] [420/458] learning_rate: 0.011965 loss_vfl: 0.973124 loss_bbox: 0.442298 loss_dfl: 0.417304 loss: 1.843324 eta: 4:02:06 batch_cost: 0.7646 data_cost: 0.2284 ips: 83.7079 images/s
[03/19 19:41:53] ppdet.engine INFO: Epoch: [262] [440/458] learning_rate: 0.011937 loss_vfl: 1.048417 loss_bbox: 0.483184 loss_dfl: 0.446274 loss: 2.002534 eta: 4:01:49 batch_cost: 0.9283 data_cost: 0.3510 ips: 68.9408 images/s
[03/19 19:42:15] ppdet.engine INFO: Epoch: [263] [  0/458] learning_rate: 0.011912 loss_vfl: 1.042168 loss_bbox: 0.494644 loss_dfl: 0.449516 loss: 1.981388 eta: 4:01:35 batch_cost: 1.1071 data_cost: 0.6548 ips: 57.8094 images/s
[03/19 19:42:35] ppdet.engine INFO: Epoch: [263] [ 20/458] learning_rate: 0.011884 loss_vfl: 0.992921 loss_bbox: 0.444672 loss_dfl: 0.424164 loss: 1.867633 eta: 4:01:17 batch_cost: 0.8624 data_cost: 0.1738 ips: 74.2128 images/s
[03/19 19:42:50] ppdet.engine INFO: Epoch: [263] [ 40/458] learning_rate: 0.011857 loss_vfl: 0.975277 loss_bbox: 0.436874 loss_dfl: 0.416248 loss: 1.850558 eta: 4:01:00 batch_cost: 0.6429 data_cost: 0.1042 ips: 99.5443 images/s
[03/19 19:43:06] ppdet.engine INFO: Epoch: [263] [ 60/458] learning_rate: 0.011829 loss_vfl: 0.994278 loss_bbox: 0.448171 loss_dfl: 0.434126 loss: 1.873382 eta: 4:00:42 batch_cost: 0.6092 data_cost: 0.0029 ips: 105.0594 images/s
[03/19 19:43:25] ppdet.engine INFO: Epoch: [263] [ 80/458] learning_rate: 0.011801 loss_vfl: 0.982225 loss_bbox: 0.439212 loss_dfl: 0.429989 loss: 1.877568 eta: 4:00:25 batch_cost: 0.8273 data_cost: 0.2000 ips: 77.3643 images/s
[03/19 19:43:47] ppdet.engine INFO: Epoch: [263] [100/458] learning_rate: 0.011774 loss_vfl: 0.985807 loss_bbox: 0.442555 loss_dfl: 0.428512 loss: 1.858877 eta: 4:00:08 batch_cost: 0.9713 data_cost: 0.3507 ips: 65.8902 images/s
[03/19 19:44:05] ppdet.engine INFO: Epoch: [263] [120/458] learning_rate: 0.011746 loss_vfl: 0.966317 loss_bbox: 0.416871 loss_dfl: 0.408545 loss: 1.788791 eta: 3:59:51 batch_cost: 0.8395 data_cost: 0.2155 ips: 76.2356 images/s
[03/19 19:44:25] ppdet.engine INFO: Epoch: [263] [140/458] learning_rate: 0.011718 loss_vfl: 0.971040 loss_bbox: 0.411812 loss_dfl: 0.400525 loss: 1.804287 eta: 3:59:34 batch_cost: 0.8768 data_cost: 0.2786 ips: 72.9936 images/s
[03/19 19:44:45] ppdet.engine INFO: Epoch: [263] [160/458] learning_rate: 0.011691 loss_vfl: 0.966851 loss_bbox: 0.438740 loss_dfl: 0.415995 loss: 1.824071 eta: 3:59:17 batch_cost: 0.9236 data_cost: 0.3616 ips: 69.2974 images/s
[03/19 19:45:05] ppdet.engine INFO: Epoch: [263] [180/458] learning_rate: 0.011663 loss_vfl: 0.961807 loss_bbox: 0.440215 loss_dfl: 0.415860 loss: 1.800915 eta: 3:59:00 batch_cost: 0.8511 data_cost: 0.2535 ips: 75.2008 images/s
[03/19 19:45:25] ppdet.engine INFO: Epoch: [263] [200/458] learning_rate: 0.011636 loss_vfl: 0.944539 loss_bbox: 0.456337 loss_dfl: 0.422505 loss: 1.836612 eta: 3:58:43 batch_cost: 0.8798 data_cost: 0.2324 ips: 72.7413 images/s
[03/19 19:45:44] ppdet.engine INFO: Epoch: [263] [220/458] learning_rate: 0.011609 loss_vfl: 0.969479 loss_bbox: 0.438579 loss_dfl: 0.408779 loss: 1.834140 eta: 3:58:25 batch_cost: 0.7502 data_cost: 0.1058 ips: 85.3123 images/s
[03/19 19:46:03] ppdet.engine INFO: Epoch: [263] [240/458] learning_rate: 0.011581 loss_vfl: 0.956494 loss_bbox: 0.451611 loss_dfl: 0.424666 loss: 1.869274 eta: 3:58:08 batch_cost: 0.8655 data_cost: 0.2192 ips: 73.9455 images/s
[03/19 19:46:22] ppdet.engine INFO: Epoch: [263] [260/458] learning_rate: 0.011554 loss_vfl: 0.979916 loss_bbox: 0.437734 loss_dfl: 0.410758 loss: 1.812463 eta: 3:57:51 batch_cost: 0.8619 data_cost: 0.2240 ips: 74.2514 images/s
[03/19 19:46:45] ppdet.engine INFO: Epoch: [263] [280/458] learning_rate: 0.011526 loss_vfl: 0.996497 loss_bbox: 0.458515 loss_dfl: 0.418877 loss: 1.866357 eta: 3:57:35 batch_cost: 1.0522 data_cost: 0.3302 ips: 60.8257 images/s
[03/19 19:47:04] ppdet.engine INFO: Epoch: [263] [300/458] learning_rate: 0.011499 loss_vfl: 1.013614 loss_bbox: 0.446086 loss_dfl: 0.426690 loss: 1.898287 eta: 3:57:17 batch_cost: 0.8236 data_cost: 0.1546 ips: 77.7074 images/s
[03/19 19:47:24] ppdet.engine INFO: Epoch: [263] [320/458] learning_rate: 0.011472 loss_vfl: 1.024373 loss_bbox: 0.460531 loss_dfl: 0.439111 loss: 1.947934 eta: 3:57:00 batch_cost: 0.8144 data_cost: 0.1593 ips: 78.5893 images/s
[03/19 19:47:41] ppdet.engine INFO: Epoch: [263] [340/458] learning_rate: 0.011445 loss_vfl: 0.989175 loss_bbox: 0.452834 loss_dfl: 0.429912 loss: 1.865839 eta: 3:56:43 batch_cost: 0.7736 data_cost: 0.0687 ips: 82.7274 images/s
[03/19 19:48:05] ppdet.engine INFO: Epoch: [263] [360/458] learning_rate: 0.011417 loss_vfl: 0.946653 loss_bbox: 0.417013 loss_dfl: 0.405028 loss: 1.768950 eta: 3:56:26 batch_cost: 1.1118 data_cost: 0.4798 ips: 57.5662 images/s
[03/19 19:48:22] ppdet.engine INFO: Epoch: [263] [380/458] learning_rate: 0.011390 loss_vfl: 1.000082 loss_bbox: 0.451128 loss_dfl: 0.429410 loss: 1.883550 eta: 3:56:09 batch_cost: 0.7251 data_cost: 0.0562 ips: 88.2594 images/s
[03/19 19:48:43] ppdet.engine INFO: Epoch: [263] [400/458] learning_rate: 0.011363 loss_vfl: 0.976664 loss_bbox: 0.434876 loss_dfl: 0.421679 loss: 1.830556 eta: 3:55:52 batch_cost: 0.8871 data_cost: 0.2166 ips: 72.1425 images/s
[03/19 19:49:03] ppdet.engine INFO: Epoch: [263] [420/458] learning_rate: 0.011336 loss_vfl: 0.981533 loss_bbox: 0.421277 loss_dfl: 0.406383 loss: 1.814016 eta: 3:55:35 batch_cost: 0.9120 data_cost: 0.3826 ips: 70.1729 images/s
[03/19 19:49:22] ppdet.engine INFO: Epoch: [263] [440/458] learning_rate: 0.011309 loss_vfl: 0.991606 loss_bbox: 0.453273 loss_dfl: 0.425230 loss: 1.864438 eta: 3:55:18 batch_cost: 0.7749 data_cost: 0.2091 ips: 82.5886 images/s
[03/19 19:49:39] ppdet.engine INFO: Epoch: [264] [  0/458] learning_rate: 0.011284 loss_vfl: 0.943634 loss_bbox: 0.413434 loss_dfl: 0.396494 loss: 1.781802 eta: 3:55:02 batch_cost: 0.7714 data_cost: 0.3313 ips: 82.9615 images/s
[03/19 19:49:55] ppdet.engine INFO: Epoch: [264] [ 20/458] learning_rate: 0.011257 loss_vfl: 0.968439 loss_bbox: 0.423659 loss_dfl: 0.415254 loss: 1.801463 eta: 3:54:45 batch_cost: 0.7077 data_cost: 0.0023 ips: 90.4388 images/s
[03/19 19:50:13] ppdet.engine INFO: Epoch: [264] [ 40/458] learning_rate: 0.011230 loss_vfl: 0.993770 loss_bbox: 0.451896 loss_dfl: 0.428880 loss: 1.860270 eta: 3:54:27 batch_cost: 0.8118 data_cost: 0.0135 ips: 78.8404 images/s
[03/19 19:50:32] ppdet.engine INFO: Epoch: [264] [ 60/458] learning_rate: 0.011203 loss_vfl: 0.971032 loss_bbox: 0.459007 loss_dfl: 0.429092 loss: 1.863226 eta: 3:54:10 batch_cost: 0.8124 data_cost: 0.0021 ips: 78.7825 images/s
[03/19 19:50:52] ppdet.engine INFO: Epoch: [264] [ 80/458] learning_rate: 0.011176 loss_vfl: 0.957128 loss_bbox: 0.451477 loss_dfl: 0.421482 loss: 1.819737 eta: 3:53:53 batch_cost: 0.9037 data_cost: 0.0716 ips: 70.8215 images/s
[03/19 19:51:14] ppdet.engine INFO: Epoch: [264] [100/458] learning_rate: 0.011150 loss_vfl: 0.995780 loss_bbox: 0.443709 loss_dfl: 0.417746 loss: 1.864353 eta: 3:53:36 batch_cost: 0.9041 data_cost: 0.2747 ips: 70.7880 images/s
[03/19 19:51:31] ppdet.engine INFO: Epoch: [264] [120/458] learning_rate: 0.011123 loss_vfl: 1.043276 loss_bbox: 0.444655 loss_dfl: 0.439423 loss: 1.909019 eta: 3:53:19 batch_cost: 0.7927 data_cost: 0.2862 ips: 80.7345 images/s
[03/19 19:51:49] ppdet.engine INFO: Epoch: [264] [140/458] learning_rate: 0.011096 loss_vfl: 0.914984 loss_bbox: 0.411001 loss_dfl: 0.386970 loss: 1.705316 eta: 3:53:02 batch_cost: 0.7783 data_cost: 0.2281 ips: 82.2337 images/s
[03/19 19:52:10] ppdet.engine INFO: Epoch: [264] [160/458] learning_rate: 0.011069 loss_vfl: 0.971763 loss_bbox: 0.468066 loss_dfl: 0.424056 loss: 1.860138 eta: 3:52:45 batch_cost: 0.8851 data_cost: 0.2760 ips: 72.3106 images/s
[03/19 19:52:29] ppdet.engine INFO: Epoch: [264] [180/458] learning_rate: 0.011042 loss_vfl: 0.978309 loss_bbox: 0.452782 loss_dfl: 0.418643 loss: 1.826341 eta: 3:52:28 batch_cost: 0.8417 data_cost: 0.1874 ips: 76.0390 images/s
[03/19 19:52:50] ppdet.engine INFO: Epoch: [264] [200/458] learning_rate: 0.011015 loss_vfl: 0.932521 loss_bbox: 0.416551 loss_dfl: 0.393144 loss: 1.734898 eta: 3:52:11 batch_cost: 0.9598 data_cost: 0.1958 ips: 66.6831 images/s
[03/19 19:53:08] ppdet.engine INFO: Epoch: [264] [220/458] learning_rate: 0.010989 loss_vfl: 0.998297 loss_bbox: 0.455980 loss_dfl: 0.430018 loss: 1.888435 eta: 3:51:53 batch_cost: 0.7810 data_cost: 0.1781 ips: 81.9431 images/s
[03/19 19:53:28] ppdet.engine INFO: Epoch: [264] [240/458] learning_rate: 0.010962 loss_vfl: 0.967638 loss_bbox: 0.443351 loss_dfl: 0.420083 loss: 1.842239 eta: 3:51:36 batch_cost: 0.8937 data_cost: 0.2626 ips: 71.6150 images/s
[03/19 19:53:48] ppdet.engine INFO: Epoch: [264] [260/458] learning_rate: 0.010935 loss_vfl: 0.930499 loss_bbox: 0.430178 loss_dfl: 0.404046 loss: 1.756028 eta: 3:51:19 batch_cost: 0.8399 data_cost: 0.0520 ips: 76.1955 images/s
[03/19 19:54:09] ppdet.engine INFO: Epoch: [264] [280/458] learning_rate: 0.010909 loss_vfl: 0.999831 loss_bbox: 0.463321 loss_dfl: 0.439272 loss: 1.896040 eta: 3:51:02 batch_cost: 0.9208 data_cost: 0.1835 ips: 69.5054 images/s
[03/19 19:54:29] ppdet.engine INFO: Epoch: [264] [300/458] learning_rate: 0.010882 loss_vfl: 1.020479 loss_bbox: 0.474624 loss_dfl: 0.434342 loss: 1.922899 eta: 3:50:45 batch_cost: 0.8635 data_cost: 0.2795 ips: 74.1146 images/s
[03/19 19:54:49] ppdet.engine INFO: Epoch: [264] [320/458] learning_rate: 0.010856 loss_vfl: 1.030371 loss_bbox: 0.448393 loss_dfl: 0.435336 loss: 1.939857 eta: 3:50:28 batch_cost: 0.8353 data_cost: 0.1287 ips: 76.6231 images/s
[03/19 19:55:10] ppdet.engine INFO: Epoch: [264] [340/458] learning_rate: 0.010829 loss_vfl: 0.992835 loss_bbox: 0.461627 loss_dfl: 0.429138 loss: 1.884723 eta: 3:50:11 batch_cost: 0.9626 data_cost: 0.2805 ips: 66.4872 images/s
[03/19 19:55:31] ppdet.engine INFO: Epoch: [264] [360/458] learning_rate: 0.010803 loss_vfl: 0.939576 loss_bbox: 0.427241 loss_dfl: 0.402937 loss: 1.764087 eta: 3:49:54 batch_cost: 0.8770 data_cost: 0.3008 ips: 72.9727 images/s
[03/19 19:55:53] ppdet.engine INFO: Epoch: [264] [380/458] learning_rate: 0.010776 loss_vfl: 1.024925 loss_bbox: 0.444263 loss_dfl: 0.428611 loss: 1.908296 eta: 3:49:37 batch_cost: 0.9606 data_cost: 0.3816 ips: 66.6257 images/s
[03/19 19:56:09] ppdet.engine INFO: Epoch: [264] [400/458] learning_rate: 0.010750 loss_vfl: 0.953045 loss_bbox: 0.443707 loss_dfl: 0.404700 loss: 1.796537 eta: 3:49:20 batch_cost: 0.6355 data_cost: 0.0012 ips: 100.7016 images/s
[03/19 19:56:28] ppdet.engine INFO: Epoch: [264] [420/458] learning_rate: 0.010723 loss_vfl: 0.992263 loss_bbox: 0.446037 loss_dfl: 0.421010 loss: 1.867867 eta: 3:49:02 batch_cost: 0.7937 data_cost: 0.2170 ips: 80.6373 images/s
[03/19 19:56:44] ppdet.engine INFO: Epoch: [264] [440/458] learning_rate: 0.010697 loss_vfl: 1.009204 loss_bbox: 0.457138 loss_dfl: 0.428517 loss: 1.877280 eta: 3:48:45 batch_cost: 0.6833 data_cost: 0.2258 ips: 93.6659 images/s
[03/19 19:57:03] ppdet.engine INFO: Epoch: [265] [  0/458] learning_rate: 0.010673 loss_vfl: 0.981502 loss_bbox: 0.445032 loss_dfl: 0.419622 loss: 1.847481 eta: 3:48:30 batch_cost: 0.8656 data_cost: 0.3145 ips: 73.9403 images/s
[03/19 19:57:22] ppdet.engine INFO: Epoch: [265] [ 20/458] learning_rate: 0.010647 loss_vfl: 0.945616 loss_bbox: 0.432689 loss_dfl: 0.404698 loss: 1.764984 eta: 3:48:13 batch_cost: 0.8805 data_cost: 0.0082 ips: 72.6828 images/s
[03/19 19:57:41] ppdet.engine INFO: Epoch: [265] [ 40/458] learning_rate: 0.010621 loss_vfl: 0.985947 loss_bbox: 0.429518 loss_dfl: 0.397701 loss: 1.809862 eta: 3:47:55 batch_cost: 0.8654 data_cost: 0.0012 ips: 73.9535 images/s
[03/19 19:58:01] ppdet.engine INFO: Epoch: [265] [ 60/458] learning_rate: 0.010594 loss_vfl: 1.004323 loss_bbox: 0.451222 loss_dfl: 0.430262 loss: 1.887715 eta: 3:47:38 batch_cost: 0.8696 data_cost: 0.0003 ips: 73.5979 images/s
[03/19 19:58:24] ppdet.engine INFO: Epoch: [265] [ 80/458] learning_rate: 0.010568 loss_vfl: 0.978205 loss_bbox: 0.460626 loss_dfl: 0.423739 loss: 1.858922 eta: 3:47:22 batch_cost: 1.0695 data_cost: 0.0024 ips: 59.8438 images/s
[03/19 19:58:44] ppdet.engine INFO: Epoch: [265] [100/458] learning_rate: 0.010542 loss_vfl: 0.956300 loss_bbox: 0.454040 loss_dfl: 0.416797 loss: 1.830440 eta: 3:47:05 batch_cost: 0.9406 data_cost: 0.0032 ips: 68.0436 images/s
[03/19 19:59:04] ppdet.engine INFO: Epoch: [265] [120/458] learning_rate: 0.010516 loss_vfl: 0.979793 loss_bbox: 0.432254 loss_dfl: 0.411264 loss: 1.823311 eta: 3:46:48 batch_cost: 0.9324 data_cost: 0.0011 ips: 68.6365 images/s
[03/19 19:59:23] ppdet.engine INFO: Epoch: [265] [140/458] learning_rate: 0.010490 loss_vfl: 0.967945 loss_bbox: 0.435174 loss_dfl: 0.415767 loss: 1.800843 eta: 3:46:31 batch_cost: 0.8429 data_cost: 0.0037 ips: 75.9251 images/s
[03/19 19:59:43] ppdet.engine INFO: Epoch: [265] [160/458] learning_rate: 0.010464 loss_vfl: 0.995356 loss_bbox: 0.471125 loss_dfl: 0.435440 loss: 1.884131 eta: 3:46:14 batch_cost: 0.8891 data_cost: 0.0021 ips: 71.9841 images/s
[03/19 20:00:00] ppdet.engine INFO: Epoch: [265] [180/458] learning_rate: 0.010437 loss_vfl: 0.971929 loss_bbox: 0.460674 loss_dfl: 0.421133 loss: 1.818722 eta: 3:45:57 batch_cost: 0.7587 data_cost: 0.0012 ips: 84.3508 images/s
[03/19 20:00:21] ppdet.engine INFO: Epoch: [265] [200/458] learning_rate: 0.010411 loss_vfl: 0.932657 loss_bbox: 0.421518 loss_dfl: 0.409196 loss: 1.774162 eta: 3:45:40 batch_cost: 1.0201 data_cost: 0.0026 ips: 62.7419 images/s
[03/19 20:00:43] ppdet.engine INFO: Epoch: [265] [220/458] learning_rate: 0.010385 loss_vfl: 0.984883 loss_bbox: 0.452827 loss_dfl: 0.426522 loss: 1.845049 eta: 3:45:23 batch_cost: 0.9741 data_cost: 0.0025 ips: 65.7042 images/s
[03/19 20:01:01] ppdet.engine INFO: Epoch: [265] [240/458] learning_rate: 0.010359 loss_vfl: 0.980531 loss_bbox: 0.448054 loss_dfl: 0.411085 loss: 1.847461 eta: 3:45:06 batch_cost: 0.8504 data_cost: 0.0016 ips: 75.2608 images/s
[03/19 20:01:24] ppdet.engine INFO: Epoch: [265] [260/458] learning_rate: 0.010333 loss_vfl: 0.956265 loss_bbox: 0.430990 loss_dfl: 0.416106 loss: 1.796484 eta: 3:44:49 batch_cost: 1.0436 data_cost: 0.0004 ips: 61.3270 images/s
[03/19 20:01:42] ppdet.engine INFO: Epoch: [265] [280/458] learning_rate: 0.010308 loss_vfl: 0.963906 loss_bbox: 0.451044 loss_dfl: 0.422403 loss: 1.815862 eta: 3:44:32 batch_cost: 0.8100 data_cost: 0.0022 ips: 79.0094 images/s
[03/19 20:02:05] ppdet.engine INFO: Epoch: [265] [300/458] learning_rate: 0.010282 loss_vfl: 0.949651 loss_bbox: 0.433583 loss_dfl: 0.402420 loss: 1.789578 eta: 3:44:15 batch_cost: 1.0191 data_cost: 0.0026 ips: 62.8018 images/s
[03/19 20:02:24] ppdet.engine INFO: Epoch: [265] [320/458] learning_rate: 0.010256 loss_vfl: 0.972691 loss_bbox: 0.437056 loss_dfl: 0.427411 loss: 1.803828 eta: 3:43:58 batch_cost: 0.8910 data_cost: 0.0014 ips: 71.8318 images/s
[03/19 20:02:43] ppdet.engine INFO: Epoch: [265] [340/458] learning_rate: 0.010230 loss_vfl: 0.920540 loss_bbox: 0.408076 loss_dfl: 0.385916 loss: 1.706886 eta: 3:43:41 batch_cost: 0.8665 data_cost: 0.0011 ips: 73.8582 images/s
[03/19 20:03:05] ppdet.engine INFO: Epoch: [265] [360/458] learning_rate: 0.010204 loss_vfl: 0.966667 loss_bbox: 0.441353 loss_dfl: 0.421372 loss: 1.851061 eta: 3:43:24 batch_cost: 0.9707 data_cost: 0.0034 ips: 65.9317 images/s
[03/19 20:03:25] ppdet.engine INFO: Epoch: [265] [380/458] learning_rate: 0.010179 loss_vfl: 0.995324 loss_bbox: 0.457987 loss_dfl: 0.422309 loss: 1.866627 eta: 3:43:08 batch_cost: 0.9099 data_cost: 0.0030 ips: 70.3374 images/s
[03/19 20:03:41] ppdet.engine INFO: Epoch: [265] [400/458] learning_rate: 0.010153 loss_vfl: 0.982537 loss_bbox: 0.453088 loss_dfl: 0.423486 loss: 1.856819 eta: 3:42:50 batch_cost: 0.7534 data_cost: 0.0027 ips: 84.9487 images/s
[03/19 20:03:56] ppdet.engine INFO: Epoch: [265] [420/458] learning_rate: 0.010127 loss_vfl: 0.965421 loss_bbox: 0.437313 loss_dfl: 0.419850 loss: 1.846221 eta: 3:42:33 batch_cost: 0.6610 data_cost: 0.0019 ips: 96.8257 images/s
[03/19 20:04:13] ppdet.engine INFO: Epoch: [265] [440/458] learning_rate: 0.010101 loss_vfl: 0.975289 loss_bbox: 0.442570 loss_dfl: 0.423222 loss: 1.849688 eta: 3:42:15 batch_cost: 0.7628 data_cost: 0.0022 ips: 83.9018 images/s
[03/19 20:04:31] ppdet.engine INFO: Epoch: [266] [  0/458] learning_rate: 0.010078 loss_vfl: 0.937233 loss_bbox: 0.430156 loss_dfl: 0.401573 loss: 1.763084 eta: 3:42:00 batch_cost: 0.8583 data_cost: 0.3979 ips: 74.5637 images/s
[03/19 20:04:51] ppdet.engine INFO: Epoch: [266] [ 20/458] learning_rate: 0.010053 loss_vfl: 0.969612 loss_bbox: 0.434350 loss_dfl: 0.407798 loss: 1.799142 eta: 3:41:43 batch_cost: 0.8085 data_cost: 0.1665 ips: 79.1638 images/s
[03/19 20:05:10] ppdet.engine INFO: Epoch: [266] [ 40/458] learning_rate: 0.010027 loss_vfl: 0.976247 loss_bbox: 0.440875 loss_dfl: 0.417078 loss: 1.818303 eta: 3:41:26 batch_cost: 0.8541 data_cost: 0.2439 ips: 74.9301 images/s
[03/19 20:05:30] ppdet.engine INFO: Epoch: [266] [ 60/458] learning_rate: 0.010002 loss_vfl: 0.993846 loss_bbox: 0.456092 loss_dfl: 0.423321 loss: 1.882454 eta: 3:41:08 batch_cost: 0.8505 data_cost: 0.1977 ips: 75.2517 images/s
[03/19 20:05:50] ppdet.engine INFO: Epoch: [266] [ 80/458] learning_rate: 0.009976 loss_vfl: 0.984348 loss_bbox: 0.446443 loss_dfl: 0.426585 loss: 1.860718 eta: 3:40:51 batch_cost: 0.9062 data_cost: 0.3101 ips: 70.6220 images/s
[03/19 20:06:11] ppdet.engine INFO: Epoch: [266] [100/458] learning_rate: 0.009951 loss_vfl: 0.979427 loss_bbox: 0.430751 loss_dfl: 0.414236 loss: 1.840796 eta: 3:40:35 batch_cost: 0.9585 data_cost: 0.2161 ips: 66.7740 images/s
[03/19 20:06:30] ppdet.engine INFO: Epoch: [266] [120/458] learning_rate: 0.009925 loss_vfl: 0.957563 loss_bbox: 0.444909 loss_dfl: 0.410458 loss: 1.801320 eta: 3:40:17 batch_cost: 0.8248 data_cost: 0.1643 ips: 77.5970 images/s
[03/19 20:06:52] ppdet.engine INFO: Epoch: [266] [140/458] learning_rate: 0.009900 loss_vfl: 0.953443 loss_bbox: 0.434389 loss_dfl: 0.412657 loss: 1.814243 eta: 3:40:01 batch_cost: 0.9805 data_cost: 0.4246 ips: 65.2731 images/s
[03/19 20:07:11] ppdet.engine INFO: Epoch: [266] [160/458] learning_rate: 0.009874 loss_vfl: 0.984288 loss_bbox: 0.430332 loss_dfl: 0.418885 loss: 1.833253 eta: 3:39:43 batch_cost: 0.8324 data_cost: 0.1089 ips: 76.8905 images/s
[03/19 20:07:31] ppdet.engine INFO: Epoch: [266] [180/458] learning_rate: 0.009849 loss_vfl: 1.021861 loss_bbox: 0.456432 loss_dfl: 0.427243 loss: 1.900576 eta: 3:39:26 batch_cost: 0.8479 data_cost: 0.1142 ips: 75.4765 images/s
[03/19 20:07:52] ppdet.engine INFO: Epoch: [266] [200/458] learning_rate: 0.009824 loss_vfl: 0.931966 loss_bbox: 0.413830 loss_dfl: 0.397531 loss: 1.753826 eta: 3:39:10 batch_cost: 0.9868 data_cost: 0.3330 ips: 64.8587 images/s
[03/19 20:08:13] ppdet.engine INFO: Epoch: [266] [220/458] learning_rate: 0.009799 loss_vfl: 0.976558 loss_bbox: 0.455118 loss_dfl: 0.424909 loss: 1.838796 eta: 3:38:53 batch_cost: 0.9118 data_cost: 0.3164 ips: 70.1937 images/s
[03/19 20:08:31] ppdet.engine INFO: Epoch: [266] [240/458] learning_rate: 0.009773 loss_vfl: 0.933570 loss_bbox: 0.441207 loss_dfl: 0.405292 loss: 1.793878 eta: 3:38:35 batch_cost: 0.8144 data_cost: 0.2242 ips: 78.5847 images/s
[03/19 20:08:50] ppdet.engine INFO: Epoch: [266] [260/458] learning_rate: 0.009748 loss_vfl: 0.955794 loss_bbox: 0.428644 loss_dfl: 0.410756 loss: 1.812225 eta: 3:38:18 batch_cost: 0.8250 data_cost: 0.1597 ips: 77.5751 images/s
[03/19 20:09:12] ppdet.engine INFO: Epoch: [266] [280/458] learning_rate: 0.009723 loss_vfl: 1.039446 loss_bbox: 0.454780 loss_dfl: 0.437088 loss: 1.918467 eta: 3:38:01 batch_cost: 0.9763 data_cost: 0.3331 ips: 65.5547 images/s
[03/19 20:09:32] ppdet.engine INFO: Epoch: [266] [300/458] learning_rate: 0.009698 loss_vfl: 0.954321 loss_bbox: 0.418349 loss_dfl: 0.400891 loss: 1.763108 eta: 3:37:44 batch_cost: 0.8795 data_cost: 0.1845 ips: 72.7698 images/s
[03/19 20:09:53] ppdet.engine INFO: Epoch: [266] [320/458] learning_rate: 0.009673 loss_vfl: 0.977142 loss_bbox: 0.436242 loss_dfl: 0.424951 loss: 1.844760 eta: 3:37:27 batch_cost: 0.9371 data_cost: 0.3317 ips: 68.2927 images/s
[03/19 20:10:13] ppdet.engine INFO: Epoch: [266] [340/458] learning_rate: 0.009648 loss_vfl: 1.019495 loss_bbox: 0.438615 loss_dfl: 0.423384 loss: 1.862693 eta: 3:37:10 batch_cost: 0.8567 data_cost: 0.3080 ips: 74.7034 images/s
[03/19 20:10:33] ppdet.engine INFO: Epoch: [266] [360/458] learning_rate: 0.009622 loss_vfl: 1.016163 loss_bbox: 0.441053 loss_dfl: 0.429297 loss: 1.898362 eta: 3:36:53 batch_cost: 0.8654 data_cost: 0.2895 ips: 73.9570 images/s
[03/19 20:10:49] ppdet.engine INFO: Epoch: [266] [380/458] learning_rate: 0.009597 loss_vfl: 0.960883 loss_bbox: 0.429956 loss_dfl: 0.413377 loss: 1.794870 eta: 3:36:36 batch_cost: 0.7112 data_cost: 0.2354 ips: 89.9883 images/s
[03/19 20:11:04] ppdet.engine INFO: Epoch: [266] [400/458] learning_rate: 0.009572 loss_vfl: 0.919547 loss_bbox: 0.429321 loss_dfl: 0.405475 loss: 1.754357 eta: 3:36:18 batch_cost: 0.6500 data_cost: 0.1141 ips: 98.4641 images/s
[03/19 20:11:22] ppdet.engine INFO: Epoch: [266] [420/458] learning_rate: 0.009547 loss_vfl: 0.919824 loss_bbox: 0.428229 loss_dfl: 0.398181 loss: 1.744489 eta: 3:36:01 batch_cost: 0.7556 data_cost: 0.0671 ips: 84.7052 images/s
[03/19 20:11:40] ppdet.engine INFO: Epoch: [266] [440/458] learning_rate: 0.009523 loss_vfl: 0.986609 loss_bbox: 0.447211 loss_dfl: 0.418697 loss: 1.835746 eta: 3:35:44 batch_cost: 0.8190 data_cost: 0.0011 ips: 78.1405 images/s
[03/19 20:12:04] ppdet.engine INFO: Epoch: [267] [  0/458] learning_rate: 0.009500 loss_vfl: 0.967908 loss_bbox: 0.446958 loss_dfl: 0.423963 loss: 1.822051 eta: 3:35:29 batch_cost: 1.0898 data_cost: 0.3546 ips: 58.7281 images/s
[03/19 20:12:26] ppdet.engine INFO: Epoch: [267] [ 20/458] learning_rate: 0.009475 loss_vfl: 1.016714 loss_bbox: 0.464841 loss_dfl: 0.440196 loss: 1.934175 eta: 3:35:12 batch_cost: 0.9164 data_cost: 0.2692 ips: 69.8392 images/s
[03/19 20:12:47] ppdet.engine INFO: Epoch: [267] [ 40/458] learning_rate: 0.009450 loss_vfl: 0.981593 loss_bbox: 0.437539 loss_dfl: 0.425641 loss: 1.851151 eta: 3:34:55 batch_cost: 0.9916 data_cost: 0.0022 ips: 64.5422 images/s
[03/19 20:13:10] ppdet.engine INFO: Epoch: [267] [ 60/458] learning_rate: 0.009426 loss_vfl: 0.930682 loss_bbox: 0.424838 loss_dfl: 0.413078 loss: 1.761228 eta: 3:34:38 batch_cost: 0.9514 data_cost: 0.0050 ips: 67.2704 images/s
[03/19 20:13:32] ppdet.engine INFO: Epoch: [267] [ 80/458] learning_rate: 0.009401 loss_vfl: 0.997071 loss_bbox: 0.449138 loss_dfl: 0.432012 loss: 1.885098 eta: 3:34:21 batch_cost: 0.8343 data_cost: 0.0311 ips: 76.7096 images/s
[03/19 20:13:53] ppdet.engine INFO: Epoch: [267] [100/458] learning_rate: 0.009376 loss_vfl: 1.000625 loss_bbox: 0.443988 loss_dfl: 0.434964 loss: 1.899880 eta: 3:34:04 batch_cost: 0.9469 data_cost: 0.1414 ips: 67.5907 images/s
[03/19 20:14:14] ppdet.engine INFO: Epoch: [267] [120/458] learning_rate: 0.009351 loss_vfl: 0.980290 loss_bbox: 0.462869 loss_dfl: 0.434632 loss: 1.861502 eta: 3:33:47 batch_cost: 0.8522 data_cost: 0.1417 ips: 75.0969 images/s
[03/19 20:14:35] ppdet.engine INFO: Epoch: [267] [140/458] learning_rate: 0.009327 loss_vfl: 0.954197 loss_bbox: 0.472603 loss_dfl: 0.427262 loss: 1.851855 eta: 3:33:30 batch_cost: 0.8994 data_cost: 0.1325 ips: 71.1583 images/s
[03/19 20:14:56] ppdet.engine INFO: Epoch: [267] [160/458] learning_rate: 0.009302 loss_vfl: 0.994919 loss_bbox: 0.463356 loss_dfl: 0.432816 loss: 1.883823 eta: 3:33:13 batch_cost: 0.9170 data_cost: 0.2115 ips: 69.7959 images/s
[03/19 20:15:18] ppdet.engine INFO: Epoch: [267] [180/458] learning_rate: 0.009277 loss_vfl: 0.969631 loss_bbox: 0.435434 loss_dfl: 0.425139 loss: 1.827793 eta: 3:32:56 batch_cost: 0.9728 data_cost: 0.1442 ips: 65.7893 images/s
[03/19 20:15:36] ppdet.engine INFO: Epoch: [267] [200/458] learning_rate: 0.009253 loss_vfl: 0.957118 loss_bbox: 0.430852 loss_dfl: 0.404922 loss: 1.792795 eta: 3:32:39 batch_cost: 0.7605 data_cost: 0.0203 ips: 84.1511 images/s
[03/19 20:15:58] ppdet.engine INFO: Epoch: [267] [220/458] learning_rate: 0.009228 loss_vfl: 0.989837 loss_bbox: 0.448213 loss_dfl: 0.417766 loss: 1.847495 eta: 3:32:22 batch_cost: 0.9222 data_cost: 0.0173 ips: 69.3962 images/s
[03/19 20:16:19] ppdet.engine INFO: Epoch: [267] [240/458] learning_rate: 0.009204 loss_vfl: 0.985195 loss_bbox: 0.449123 loss_dfl: 0.427598 loss: 1.890054 eta: 3:32:05 batch_cost: 0.8984 data_cost: 0.1529 ips: 71.2368 images/s
[03/19 20:16:42] ppdet.engine INFO: Epoch: [267] [260/458] learning_rate: 0.009179 loss_vfl: 0.938878 loss_bbox: 0.435535 loss_dfl: 0.402473 loss: 1.744687 eta: 3:31:48 batch_cost: 1.0165 data_cost: 0.3020 ips: 62.9582 images/s
[03/19 20:17:00] ppdet.engine INFO: Epoch: [267] [280/458] learning_rate: 0.009155 loss_vfl: 0.969934 loss_bbox: 0.424976 loss_dfl: 0.407477 loss: 1.786418 eta: 3:31:31 batch_cost: 0.7186 data_cost: 0.1199 ips: 89.0592 images/s
[03/19 20:17:18] ppdet.engine INFO: Epoch: [267] [300/458] learning_rate: 0.009130 loss_vfl: 0.963222 loss_bbox: 0.431545 loss_dfl: 0.413882 loss: 1.797281 eta: 3:31:13 batch_cost: 0.7350 data_cost: 0.1039 ips: 87.0774 images/s
[03/19 20:17:35] ppdet.engine INFO: Epoch: [267] [320/458] learning_rate: 0.009106 loss_vfl: 0.980574 loss_bbox: 0.437904 loss_dfl: 0.414644 loss: 1.826189 eta: 3:30:56 batch_cost: 0.7251 data_cost: 0.1216 ips: 88.2620 images/s
[03/19 20:17:50] ppdet.engine INFO: Epoch: [267] [340/458] learning_rate: 0.009082 loss_vfl: 0.984500 loss_bbox: 0.451664 loss_dfl: 0.428229 loss: 1.883920 eta: 3:30:38 batch_cost: 0.5975 data_cost: 0.0028 ips: 107.1106 images/s
[03/19 20:18:13] ppdet.engine INFO: Epoch: [267] [360/458] learning_rate: 0.009057 loss_vfl: 1.041938 loss_bbox: 0.469632 loss_dfl: 0.449711 loss: 1.971618 eta: 3:30:21 batch_cost: 0.9814 data_cost: 0.2509 ips: 65.2153 images/s
[03/19 20:18:34] ppdet.engine INFO: Epoch: [267] [380/458] learning_rate: 0.009033 loss_vfl: 1.005789 loss_bbox: 0.440562 loss_dfl: 0.424842 loss: 1.868155 eta: 3:30:05 batch_cost: 0.9623 data_cost: 0.4055 ips: 66.5039 images/s
[03/19 20:18:54] ppdet.engine INFO: Epoch: [267] [400/458] learning_rate: 0.009009 loss_vfl: 0.953855 loss_bbox: 0.426551 loss_dfl: 0.396108 loss: 1.756347 eta: 3:29:47 batch_cost: 0.8241 data_cost: 0.1313 ips: 77.6564 images/s
[03/19 20:19:16] ppdet.engine INFO: Epoch: [267] [420/458] learning_rate: 0.008984 loss_vfl: 0.996285 loss_bbox: 0.461598 loss_dfl: 0.437683 loss: 1.917264 eta: 3:29:31 batch_cost: 0.9942 data_cost: 0.1431 ips: 64.3722 images/s
[03/19 20:19:35] ppdet.engine INFO: Epoch: [267] [440/458] learning_rate: 0.008960 loss_vfl: 0.958683 loss_bbox: 0.440660 loss_dfl: 0.407897 loss: 1.795710 eta: 3:29:14 batch_cost: 0.8588 data_cost: 0.1772 ips: 74.5228 images/s
[03/19 20:19:56] ppdet.engine INFO: Epoch: [268] [  0/458] learning_rate: 0.008938 loss_vfl: 0.929214 loss_bbox: 0.424066 loss_dfl: 0.405415 loss: 1.764351 eta: 3:28:59 batch_cost: 1.0465 data_cost: 0.4221 ips: 61.1570 images/s
[03/19 20:20:18] ppdet.engine INFO: Epoch: [268] [ 20/458] learning_rate: 0.008914 loss_vfl: 0.967067 loss_bbox: 0.434307 loss_dfl: 0.416572 loss: 1.813248 eta: 3:28:42 batch_cost: 0.9174 data_cost: 0.1220 ips: 69.7587 images/s
[03/19 20:20:40] ppdet.engine INFO: Epoch: [268] [ 40/458] learning_rate: 0.008890 loss_vfl: 0.995020 loss_bbox: 0.442468 loss_dfl: 0.425172 loss: 1.864263 eta: 3:28:25 batch_cost: 1.0015 data_cost: 0.1873 ips: 63.9056 images/s
[03/19 20:21:00] ppdet.engine INFO: Epoch: [268] [ 60/458] learning_rate: 0.008866 loss_vfl: 0.977353 loss_bbox: 0.445937 loss_dfl: 0.421825 loss: 1.840082 eta: 3:28:08 batch_cost: 0.8482 data_cost: 0.0523 ips: 75.4538 images/s
[03/19 20:21:21] ppdet.engine INFO: Epoch: [268] [ 80/458] learning_rate: 0.008842 loss_vfl: 1.010438 loss_bbox: 0.456579 loss_dfl: 0.432265 loss: 1.894639 eta: 3:27:51 batch_cost: 0.9308 data_cost: 0.3415 ips: 68.7594 images/s
[03/19 20:21:43] ppdet.engine INFO: Epoch: [268] [100/458] learning_rate: 0.008818 loss_vfl: 1.006493 loss_bbox: 0.457464 loss_dfl: 0.431451 loss: 1.887679 eta: 3:27:34 batch_cost: 0.9667 data_cost: 0.1980 ips: 66.2053 images/s
[03/19 20:22:01] ppdet.engine INFO: Epoch: [268] [120/458] learning_rate: 0.008794 loss_vfl: 0.929950 loss_bbox: 0.431237 loss_dfl: 0.401441 loss: 1.748636 eta: 3:27:17 batch_cost: 0.7681 data_cost: 0.0429 ips: 83.3190 images/s
[03/19 20:22:22] ppdet.engine INFO: Epoch: [268] [140/458] learning_rate: 0.008770 loss_vfl: 0.956198 loss_bbox: 0.440932 loss_dfl: 0.416427 loss: 1.805339 eta: 3:27:00 batch_cost: 0.9215 data_cost: 0.2774 ips: 69.4511 images/s
[03/19 20:22:41] ppdet.engine INFO: Epoch: [268] [160/458] learning_rate: 0.008746 loss_vfl: 0.972245 loss_bbox: 0.469851 loss_dfl: 0.413371 loss: 1.846153 eta: 3:26:42 batch_cost: 0.8490 data_cost: 0.1645 ips: 75.3870 images/s
[03/19 20:23:03] ppdet.engine INFO: Epoch: [268] [180/458] learning_rate: 0.008722 loss_vfl: 0.970897 loss_bbox: 0.444185 loss_dfl: 0.413803 loss: 1.813999 eta: 3:26:26 batch_cost: 0.9667 data_cost: 0.2225 ips: 66.2037 images/s
[03/19 20:23:24] ppdet.engine INFO: Epoch: [268] [200/458] learning_rate: 0.008698 loss_vfl: 0.988561 loss_bbox: 0.442668 loss_dfl: 0.426071 loss: 1.854299 eta: 3:26:09 batch_cost: 0.9609 data_cost: 0.3223 ips: 66.6049 images/s
[03/19 20:23:44] ppdet.engine INFO: Epoch: [268] [220/458] learning_rate: 0.008675 loss_vfl: 1.015939 loss_bbox: 0.467619 loss_dfl: 0.434151 loss: 1.938357 eta: 3:25:52 batch_cost: 0.9261 data_cost: 0.1766 ips: 69.1102 images/s
[03/19 20:24:01] ppdet.engine INFO: Epoch: [268] [240/458] learning_rate: 0.008651 loss_vfl: 1.003455 loss_bbox: 0.460677 loss_dfl: 0.431458 loss: 1.910701 eta: 3:25:34 batch_cost: 0.6729 data_cost: 0.0037 ips: 95.1146 images/s
[03/19 20:24:17] ppdet.engine INFO: Epoch: [268] [260/458] learning_rate: 0.008627 loss_vfl: 0.990215 loss_bbox: 0.435130 loss_dfl: 0.424688 loss: 1.834687 eta: 3:25:17 batch_cost: 0.7135 data_cost: 0.2016 ips: 89.6973 images/s
[03/19 20:24:33] ppdet.engine INFO: Epoch: [268] [280/458] learning_rate: 0.008603 loss_vfl: 0.978686 loss_bbox: 0.446157 loss_dfl: 0.413795 loss: 1.839558 eta: 3:24:59 batch_cost: 0.6581 data_cost: 0.0067 ips: 97.2531 images/s
[03/19 20:24:54] ppdet.engine INFO: Epoch: [268] [300/458] learning_rate: 0.008579 loss_vfl: 0.916692 loss_bbox: 0.393599 loss_dfl: 0.379953 loss: 1.681172 eta: 3:24:42 batch_cost: 0.9818 data_cost: 0.2618 ips: 65.1887 images/s
[03/19 20:25:13] ppdet.engine INFO: Epoch: [268] [320/458] learning_rate: 0.008556 loss_vfl: 0.942926 loss_bbox: 0.430177 loss_dfl: 0.404141 loss: 1.751316 eta: 3:24:25 batch_cost: 0.8041 data_cost: 0.0072 ips: 79.5873 images/s
[03/19 20:25:34] ppdet.engine INFO: Epoch: [268] [340/458] learning_rate: 0.008532 loss_vfl: 1.013522 loss_bbox: 0.471121 loss_dfl: 0.436451 loss: 1.928256 eta: 3:24:08 batch_cost: 0.8961 data_cost: 0.0180 ips: 71.4236 images/s
[03/19 20:25:56] ppdet.engine INFO: Epoch: [268] [360/458] learning_rate: 0.008509 loss_vfl: 0.914550 loss_bbox: 0.413098 loss_dfl: 0.397806 loss: 1.720280 eta: 3:23:51 batch_cost: 0.9773 data_cost: 0.0037 ips: 65.4894 images/s
[03/19 20:26:16] ppdet.engine INFO: Epoch: [268] [380/458] learning_rate: 0.008485 loss_vfl: 0.980720 loss_bbox: 0.453143 loss_dfl: 0.424866 loss: 1.853677 eta: 3:23:34 batch_cost: 0.8706 data_cost: 0.0530 ips: 73.5104 images/s
[03/19 20:26:35] ppdet.engine INFO: Epoch: [268] [400/458] learning_rate: 0.008461 loss_vfl: 0.977549 loss_bbox: 0.434114 loss_dfl: 0.415043 loss: 1.849481 eta: 3:23:17 batch_cost: 0.8119 data_cost: 0.0040 ips: 78.8315 images/s
[03/19 20:26:55] ppdet.engine INFO: Epoch: [268] [420/458] learning_rate: 0.008438 loss_vfl: 1.000380 loss_bbox: 0.461796 loss_dfl: 0.426613 loss: 1.885256 eta: 3:23:00 batch_cost: 0.8818 data_cost: 0.0118 ips: 72.5794 images/s
[03/19 20:27:17] ppdet.engine INFO: Epoch: [268] [440/458] learning_rate: 0.008414 loss_vfl: 0.998159 loss_bbox: 0.455455 loss_dfl: 0.429772 loss: 1.875143 eta: 3:22:43 batch_cost: 0.9289 data_cost: 0.0093 ips: 68.8958 images/s
[03/19 20:27:37] ppdet.engine INFO: Epoch: [269] [  0/458] learning_rate: 0.008393 loss_vfl: 1.005623 loss_bbox: 0.445074 loss_dfl: 0.431026 loss: 1.876917 eta: 3:22:28 batch_cost: 0.9107 data_cost: 0.3660 ips: 70.2718 images/s
[03/19 20:28:01] ppdet.engine INFO: Epoch: [269] [ 20/458] learning_rate: 0.008370 loss_vfl: 0.977994 loss_bbox: 0.428140 loss_dfl: 0.402340 loss: 1.799224 eta: 3:22:11 batch_cost: 1.0775 data_cost: 0.3328 ips: 59.3958 images/s
[03/19 20:28:23] ppdet.engine INFO: Epoch: [269] [ 40/458] learning_rate: 0.008347 loss_vfl: 0.980040 loss_bbox: 0.475977 loss_dfl: 0.437797 loss: 1.918867 eta: 3:21:54 batch_cost: 0.9512 data_cost: 0.1630 ips: 67.2860 images/s
[03/19 20:28:41] ppdet.engine INFO: Epoch: [269] [ 60/458] learning_rate: 0.008323 loss_vfl: 0.988780 loss_bbox: 0.464816 loss_dfl: 0.434826 loss: 1.899134 eta: 3:21:37 batch_cost: 0.8013 data_cost: 0.0544 ips: 79.8707 images/s
[03/19 20:28:59] ppdet.engine INFO: Epoch: [269] [ 80/458] learning_rate: 0.008300 loss_vfl: 0.929553 loss_bbox: 0.422020 loss_dfl: 0.397830 loss: 1.742021 eta: 3:21:20 batch_cost: 0.7469 data_cost: 0.0102 ips: 85.6910 images/s
[03/19 20:29:25] ppdet.engine INFO: Epoch: [269] [100/458] learning_rate: 0.008277 loss_vfl: 0.923208 loss_bbox: 0.411192 loss_dfl: 0.390399 loss: 1.726088 eta: 3:21:03 batch_cost: 1.1329 data_cost: 0.2423 ips: 56.4904 images/s
[03/19 20:29:45] ppdet.engine INFO: Epoch: [269] [120/458] learning_rate: 0.008253 loss_vfl: 0.943893 loss_bbox: 0.415657 loss_dfl: 0.409441 loss: 1.763504 eta: 3:20:46 batch_cost: 0.8700 data_cost: 0.0088 ips: 73.5612 images/s
[03/19 20:30:06] ppdet.engine INFO: Epoch: [269] [140/458] learning_rate: 0.008230 loss_vfl: 1.006989 loss_bbox: 0.452357 loss_dfl: 0.437198 loss: 1.895975 eta: 3:20:29 batch_cost: 0.8956 data_cost: 0.1604 ips: 71.4619 images/s
[03/19 20:30:26] ppdet.engine INFO: Epoch: [269] [160/458] learning_rate: 0.008207 loss_vfl: 0.981794 loss_bbox: 0.443207 loss_dfl: 0.422994 loss: 1.862035 eta: 3:20:12 batch_cost: 0.8328 data_cost: 0.0784 ips: 76.8451 images/s
[03/19 20:30:43] ppdet.engine INFO: Epoch: [269] [180/458] learning_rate: 0.008184 loss_vfl: 0.954725 loss_bbox: 0.440864 loss_dfl: 0.421407 loss: 1.834054 eta: 3:19:55 batch_cost: 0.7531 data_cost: 0.0742 ips: 84.9807 images/s
[03/19 20:31:00] ppdet.engine INFO: Epoch: [269] [200/458] learning_rate: 0.008161 loss_vfl: 0.985546 loss_bbox: 0.437940 loss_dfl: 0.418210 loss: 1.851161 eta: 3:19:37 batch_cost: 0.7278 data_cost: 0.0523 ips: 87.9340 images/s
[03/19 20:31:17] ppdet.engine INFO: Epoch: [269] [220/458] learning_rate: 0.008137 loss_vfl: 0.984308 loss_bbox: 0.442916 loss_dfl: 0.411555 loss: 1.844447 eta: 3:19:20 batch_cost: 0.7979 data_cost: 0.0851 ips: 80.2089 images/s
[03/19 20:31:37] ppdet.engine INFO: Epoch: [269] [240/458] learning_rate: 0.008114 loss_vfl: 0.932724 loss_bbox: 0.432202 loss_dfl: 0.398121 loss: 1.748625 eta: 3:19:03 batch_cost: 0.8911 data_cost: 0.3518 ips: 71.8175 images/s
[03/19 20:32:01] ppdet.engine INFO: Epoch: [269] [260/458] learning_rate: 0.008091 loss_vfl: 0.941696 loss_bbox: 0.434868 loss_dfl: 0.414480 loss: 1.798898 eta: 3:18:46 batch_cost: 1.0501 data_cost: 0.3774 ips: 60.9448 images/s
[03/19 20:32:22] ppdet.engine INFO: Epoch: [269] [280/458] learning_rate: 0.008068 loss_vfl: 1.003881 loss_bbox: 0.441509 loss_dfl: 0.420732 loss: 1.841843 eta: 3:18:29 batch_cost: 0.9532 data_cost: 0.3179 ips: 67.1422 images/s
[03/19 20:32:40] ppdet.engine INFO: Epoch: [269] [300/458] learning_rate: 0.008045 loss_vfl: 1.016586 loss_bbox: 0.441871 loss_dfl: 0.419947 loss: 1.889507 eta: 3:18:12 batch_cost: 0.8118 data_cost: 0.2652 ips: 78.8331 images/s
[03/19 20:33:02] ppdet.engine INFO: Epoch: [269] [320/458] learning_rate: 0.008022 loss_vfl: 0.987722 loss_bbox: 0.459229 loss_dfl: 0.437662 loss: 1.892423 eta: 3:17:55 batch_cost: 0.9813 data_cost: 0.4063 ips: 65.2169 images/s
[03/19 20:33:22] ppdet.engine INFO: Epoch: [269] [340/458] learning_rate: 0.008000 loss_vfl: 0.964721 loss_bbox: 0.429568 loss_dfl: 0.402711 loss: 1.775009 eta: 3:17:38 batch_cost: 0.8908 data_cost: 0.2749 ips: 71.8445 images/s
[03/19 20:33:42] ppdet.engine INFO: Epoch: [269] [360/458] learning_rate: 0.007977 loss_vfl: 1.026030 loss_bbox: 0.459505 loss_dfl: 0.446039 loss: 1.941435 eta: 3:17:21 batch_cost: 0.8612 data_cost: 0.3049 ips: 74.3155 images/s
[03/19 20:34:02] ppdet.engine INFO: Epoch: [269] [380/458] learning_rate: 0.007954 loss_vfl: 0.959780 loss_bbox: 0.441210 loss_dfl: 0.419348 loss: 1.814540 eta: 3:17:04 batch_cost: 0.8511 data_cost: 0.2271 ips: 75.1948 images/s
[03/19 20:34:21] ppdet.engine INFO: Epoch: [269] [400/458] learning_rate: 0.007931 loss_vfl: 0.965157 loss_bbox: 0.430781 loss_dfl: 0.412649 loss: 1.802620 eta: 3:16:47 batch_cost: 0.8170 data_cost: 0.1517 ips: 78.3370 images/s
[03/19 20:34:43] ppdet.engine INFO: Epoch: [269] [420/458] learning_rate: 0.007908 loss_vfl: 0.969791 loss_bbox: 0.436446 loss_dfl: 0.424709 loss: 1.852056 eta: 3:16:30 batch_cost: 0.9423 data_cost: 0.0824 ips: 67.9178 images/s
[03/19 20:35:03] ppdet.engine INFO: Epoch: [269] [440/458] learning_rate: 0.007885 loss_vfl: 0.981728 loss_bbox: 0.445828 loss_dfl: 0.424310 loss: 1.858166 eta: 3:16:13 batch_cost: 0.8707 data_cost: 0.0829 ips: 73.5074 images/s
[03/19 20:35:16] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 20:35:16] ppdet.engine INFO: Eval iter: 0
[03/19 20:35:33] ppdet.engine INFO: Eval iter: 100
[03/19 20:35:41] ppdet.engine INFO: Eval iter: 200
[03/19 20:35:50] ppdet.engine INFO: Eval iter: 300
[03/19 20:35:58] ppdet.engine INFO: Eval iter: 400
[03/19 20:36:07] ppdet.engine INFO: Eval iter: 500
[03/19 20:36:15] ppdet.engine INFO: Eval iter: 600
[03/19 20:36:29] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.60s)
creating index...
index created!
[03/19 20:36:30] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.31s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=77.65s).
Accumulating evaluation results...
DONE (t=15.55s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.235
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.360
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.243
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.064
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.230
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.410
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.236
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.378
 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 ] = 0.119
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.439
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.674
[03/19 20:38:09] ppdet.engine INFO: Total sample number: 4952, averge FPS: 80.49964243492508
[03/19 20:38:09] ppdet.engine INFO: Best test bbox ap is 0.235.
[03/19 20:38:09] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 20:38:10] ppdet.engine INFO: Epoch: [270] [  0/458] learning_rate: 0.007865 loss_vfl: 0.997539 loss_bbox: 0.429777 loss_dfl: 0.422421 loss: 1.836023 eta: 3:15:57 batch_cost: 0.6030 data_cost: 0.0755 ips: 106.1358 images/s
[03/19 20:38:23] ppdet.engine INFO: Epoch: [270] [ 20/458] learning_rate: 0.007842 loss_vfl: 0.982041 loss_bbox: 0.448399 loss_dfl: 0.422024 loss: 1.844972 eta: 3:15:39 batch_cost: 0.5852 data_cost: 0.0300 ips: 109.3732 images/s
[03/19 20:38:45] ppdet.engine INFO: Epoch: [270] [ 40/458] learning_rate: 0.007820 loss_vfl: 0.955330 loss_bbox: 0.429347 loss_dfl: 0.409958 loss: 1.809081 eta: 3:15:22 batch_cost: 0.9802 data_cost: 0.0473 ips: 65.2919 images/s
[03/19 20:39:05] ppdet.engine INFO: Epoch: [270] [ 60/458] learning_rate: 0.007797 loss_vfl: 1.037915 loss_bbox: 0.457831 loss_dfl: 0.433072 loss: 1.922556 eta: 3:15:05 batch_cost: 0.9248 data_cost: 0.0021 ips: 69.2049 images/s
[03/19 20:39:28] ppdet.engine INFO: Epoch: [270] [ 80/458] learning_rate: 0.007774 loss_vfl: 0.974546 loss_bbox: 0.432604 loss_dfl: 0.417760 loss: 1.835217 eta: 3:14:49 batch_cost: 1.0338 data_cost: 0.0013 ips: 61.9068 images/s
[03/19 20:39:47] ppdet.engine INFO: Epoch: [270] [100/458] learning_rate: 0.007752 loss_vfl: 0.911458 loss_bbox: 0.429538 loss_dfl: 0.398774 loss: 1.760790 eta: 3:14:32 batch_cost: 0.8627 data_cost: 0.0003 ips: 74.1851 images/s
[03/19 20:40:06] ppdet.engine INFO: Epoch: [270] [120/458] learning_rate: 0.007729 loss_vfl: 1.005070 loss_bbox: 0.471092 loss_dfl: 0.443473 loss: 1.913286 eta: 3:14:14 batch_cost: 0.8295 data_cost: 0.0035 ips: 77.1515 images/s
[03/19 20:40:29] ppdet.engine INFO: Epoch: [270] [140/458] learning_rate: 0.007707 loss_vfl: 0.997685 loss_bbox: 0.440723 loss_dfl: 0.426187 loss: 1.860901 eta: 3:13:58 batch_cost: 1.0304 data_cost: 0.0021 ips: 62.1090 images/s
[03/19 20:40:48] ppdet.engine INFO: Epoch: [270] [160/458] learning_rate: 0.007684 loss_vfl: 0.986823 loss_bbox: 0.451117 loss_dfl: 0.429975 loss: 1.859381 eta: 3:13:41 batch_cost: 0.9039 data_cost: 0.0021 ips: 70.8037 images/s
[03/19 20:41:04] ppdet.engine INFO: Epoch: [270] [180/458] learning_rate: 0.007662 loss_vfl: 0.945228 loss_bbox: 0.424106 loss_dfl: 0.405677 loss: 1.782150 eta: 3:13:23 batch_cost: 0.7048 data_cost: 0.0023 ips: 90.8043 images/s
[03/19 20:41:26] ppdet.engine INFO: Epoch: [270] [200/458] learning_rate: 0.007640 loss_vfl: 0.978991 loss_bbox: 0.440594 loss_dfl: 0.413163 loss: 1.828206 eta: 3:13:06 batch_cost: 0.9988 data_cost: 0.0014 ips: 64.0776 images/s
[03/19 20:41:44] ppdet.engine INFO: Epoch: [270] [220/458] learning_rate: 0.007617 loss_vfl: 0.972367 loss_bbox: 0.447065 loss_dfl: 0.427291 loss: 1.861376 eta: 3:12:49 batch_cost: 0.7839 data_cost: 0.0054 ips: 81.6432 images/s
[03/19 20:42:04] ppdet.engine INFO: Epoch: [270] [240/458] learning_rate: 0.007595 loss_vfl: 0.999379 loss_bbox: 0.431344 loss_dfl: 0.422879 loss: 1.848366 eta: 3:12:32 batch_cost: 0.8941 data_cost: 0.0007 ips: 71.5805 images/s
[03/19 20:42:22] ppdet.engine INFO: Epoch: [270] [260/458] learning_rate: 0.007572 loss_vfl: 1.013665 loss_bbox: 0.449831 loss_dfl: 0.427126 loss: 1.869737 eta: 3:12:15 batch_cost: 0.8097 data_cost: 0.0019 ips: 79.0446 images/s
[03/19 20:42:42] ppdet.engine INFO: Epoch: [270] [280/458] learning_rate: 0.007550 loss_vfl: 0.985033 loss_bbox: 0.449657 loss_dfl: 0.422148 loss: 1.855168 eta: 3:11:58 batch_cost: 0.9198 data_cost: 0.0049 ips: 69.5832 images/s
[03/19 20:43:03] ppdet.engine INFO: Epoch: [270] [300/458] learning_rate: 0.007528 loss_vfl: 1.005290 loss_bbox: 0.457354 loss_dfl: 0.423554 loss: 1.863649 eta: 3:11:41 batch_cost: 0.9598 data_cost: 0.0011 ips: 66.6824 images/s
[03/19 20:43:22] ppdet.engine INFO: Epoch: [270] [320/458] learning_rate: 0.007506 loss_vfl: 0.961595 loss_bbox: 0.456341 loss_dfl: 0.435713 loss: 1.868624 eta: 3:11:24 batch_cost: 0.8613 data_cost: 0.0023 ips: 74.3097 images/s
[03/19 20:43:40] ppdet.engine INFO: Epoch: [270] [340/458] learning_rate: 0.007484 loss_vfl: 0.984119 loss_bbox: 0.457186 loss_dfl: 0.426707 loss: 1.875476 eta: 3:11:07 batch_cost: 0.8041 data_cost: 0.0038 ips: 79.5930 images/s
[03/19 20:44:00] ppdet.engine INFO: Epoch: [270] [360/458] learning_rate: 0.007461 loss_vfl: 1.016820 loss_bbox: 0.456495 loss_dfl: 0.431919 loss: 1.887141 eta: 3:10:50 batch_cost: 0.8913 data_cost: 0.0029 ips: 71.8086 images/s
[03/19 20:44:21] ppdet.engine INFO: Epoch: [270] [380/458] learning_rate: 0.007439 loss_vfl: 0.979914 loss_bbox: 0.455412 loss_dfl: 0.418203 loss: 1.846372 eta: 3:10:33 batch_cost: 0.9743 data_cost: 0.0031 ips: 65.6853 images/s
[03/19 20:44:34] ppdet.engine INFO: Epoch: [270] [400/458] learning_rate: 0.007417 loss_vfl: 0.963924 loss_bbox: 0.474468 loss_dfl: 0.420863 loss: 1.864973 eta: 3:10:15 batch_cost: 0.5889 data_cost: 0.0031 ips: 108.6857 images/s
[03/19 20:44:50] ppdet.engine INFO: Epoch: [270] [420/458] learning_rate: 0.007395 loss_vfl: 0.993473 loss_bbox: 0.467086 loss_dfl: 0.424798 loss: 1.867484 eta: 3:09:58 batch_cost: 0.6613 data_cost: 0.0437 ips: 96.7859 images/s
[03/19 20:45:06] ppdet.engine INFO: Epoch: [270] [440/458] learning_rate: 0.007373 loss_vfl: 1.031061 loss_bbox: 0.482941 loss_dfl: 0.449600 loss: 1.957434 eta: 3:09:40 batch_cost: 0.7358 data_cost: 0.2501 ips: 86.9802 images/s
[03/19 20:45:26] ppdet.engine INFO: Epoch: [271] [  0/458] learning_rate: 0.007353 loss_vfl: 0.968734 loss_bbox: 0.435001 loss_dfl: 0.420719 loss: 1.832843 eta: 3:09:25 batch_cost: 0.9831 data_cost: 0.4721 ips: 65.0984 images/s
[03/19 20:45:49] ppdet.engine INFO: Epoch: [271] [ 20/458] learning_rate: 0.007331 loss_vfl: 1.008622 loss_bbox: 0.460768 loss_dfl: 0.425893 loss: 1.889299 eta: 3:09:08 batch_cost: 1.0625 data_cost: 0.2399 ips: 60.2346 images/s
[03/19 20:46:05] ppdet.engine INFO: Epoch: [271] [ 40/458] learning_rate: 0.007309 loss_vfl: 1.021036 loss_bbox: 0.460173 loss_dfl: 0.442236 loss: 1.932709 eta: 3:08:51 batch_cost: 0.7372 data_cost: 0.0091 ips: 86.8193 images/s
[03/19 20:46:27] ppdet.engine INFO: Epoch: [271] [ 60/458] learning_rate: 0.007288 loss_vfl: 0.973196 loss_bbox: 0.440937 loss_dfl: 0.411344 loss: 1.811097 eta: 3:08:34 batch_cost: 0.9897 data_cost: 0.0029 ips: 64.6650 images/s
[03/19 20:46:46] ppdet.engine INFO: Epoch: [271] [ 80/458] learning_rate: 0.007266 loss_vfl: 0.934408 loss_bbox: 0.439288 loss_dfl: 0.416719 loss: 1.799172 eta: 3:08:17 batch_cost: 0.8836 data_cost: 0.0054 ips: 72.4310 images/s
[03/19 20:47:05] ppdet.engine INFO: Epoch: [271] [100/458] learning_rate: 0.007244 loss_vfl: 0.976023 loss_bbox: 0.433033 loss_dfl: 0.423264 loss: 1.842508 eta: 3:08:00 batch_cost: 0.7942 data_cost: 0.0035 ips: 80.5820 images/s
[03/19 20:47:23] ppdet.engine INFO: Epoch: [271] [120/458] learning_rate: 0.007222 loss_vfl: 0.950278 loss_bbox: 0.450612 loss_dfl: 0.413737 loss: 1.801430 eta: 3:07:43 batch_cost: 0.8109 data_cost: 0.0011 ips: 78.9216 images/s
[03/19 20:47:43] ppdet.engine INFO: Epoch: [271] [140/458] learning_rate: 0.007200 loss_vfl: 0.961355 loss_bbox: 0.452411 loss_dfl: 0.426293 loss: 1.836601 eta: 3:07:26 batch_cost: 0.8388 data_cost: 0.0006 ips: 76.3018 images/s
[03/19 20:48:02] ppdet.engine INFO: Epoch: [271] [160/458] learning_rate: 0.007179 loss_vfl: 1.038913 loss_bbox: 0.455476 loss_dfl: 0.446669 loss: 1.944819 eta: 3:07:08 batch_cost: 0.8501 data_cost: 0.0020 ips: 75.2846 images/s
[03/19 20:48:22] ppdet.engine INFO: Epoch: [271] [180/458] learning_rate: 0.007157 loss_vfl: 0.988112 loss_bbox: 0.450555 loss_dfl: 0.411727 loss: 1.828327 eta: 3:06:51 batch_cost: 0.8853 data_cost: 0.0011 ips: 72.2957 images/s
[03/19 20:48:40] ppdet.engine INFO: Epoch: [271] [200/458] learning_rate: 0.007135 loss_vfl: 0.931941 loss_bbox: 0.433599 loss_dfl: 0.405801 loss: 1.769794 eta: 3:06:34 batch_cost: 0.8192 data_cost: 0.0021 ips: 78.1271 images/s
[03/19 20:49:00] ppdet.engine INFO: Epoch: [271] [220/458] learning_rate: 0.007114 loss_vfl: 0.963134 loss_bbox: 0.440591 loss_dfl: 0.418839 loss: 1.797556 eta: 3:06:17 batch_cost: 0.8524 data_cost: 0.0013 ips: 75.0786 images/s
[03/19 20:49:18] ppdet.engine INFO: Epoch: [271] [240/458] learning_rate: 0.007092 loss_vfl: 0.968964 loss_bbox: 0.422510 loss_dfl: 0.416967 loss: 1.807315 eta: 3:06:00 batch_cost: 0.8250 data_cost: 0.0049 ips: 77.5721 images/s
[03/19 20:49:38] ppdet.engine INFO: Epoch: [271] [260/458] learning_rate: 0.007070 loss_vfl: 0.948188 loss_bbox: 0.424544 loss_dfl: 0.399183 loss: 1.728823 eta: 3:05:43 batch_cost: 0.9000 data_cost: 0.0045 ips: 71.1078 images/s
[03/19 20:49:58] ppdet.engine INFO: Epoch: [271] [280/458] learning_rate: 0.007049 loss_vfl: 0.955167 loss_bbox: 0.442845 loss_dfl: 0.418865 loss: 1.828572 eta: 3:05:26 batch_cost: 0.9093 data_cost: 0.0040 ips: 70.3866 images/s
[03/19 20:50:18] ppdet.engine INFO: Epoch: [271] [300/458] learning_rate: 0.007027 loss_vfl: 0.966115 loss_bbox: 0.443324 loss_dfl: 0.413075 loss: 1.825886 eta: 3:05:09 batch_cost: 0.9089 data_cost: 0.0026 ips: 70.4111 images/s
[03/19 20:50:37] ppdet.engine INFO: Epoch: [271] [320/458] learning_rate: 0.007006 loss_vfl: 0.983979 loss_bbox: 0.473629 loss_dfl: 0.427880 loss: 1.879755 eta: 3:04:52 batch_cost: 0.8585 data_cost: 0.0005 ips: 74.5524 images/s
[03/19 20:50:56] ppdet.engine INFO: Epoch: [271] [340/458] learning_rate: 0.006984 loss_vfl: 0.991721 loss_bbox: 0.446209 loss_dfl: 0.428526 loss: 1.858858 eta: 3:04:35 batch_cost: 0.8428 data_cost: 0.0009 ips: 75.9356 images/s
[03/19 20:51:16] ppdet.engine INFO: Epoch: [271] [360/458] learning_rate: 0.006963 loss_vfl: 1.012803 loss_bbox: 0.449847 loss_dfl: 0.427502 loss: 1.858943 eta: 3:04:18 batch_cost: 0.8990 data_cost: 0.0041 ips: 71.1904 images/s
[03/19 20:51:34] ppdet.engine INFO: Epoch: [271] [380/458] learning_rate: 0.006942 loss_vfl: 1.017016 loss_bbox: 0.444166 loss_dfl: 0.426745 loss: 1.885127 eta: 3:04:00 batch_cost: 0.8410 data_cost: 0.0028 ips: 76.0970 images/s
[03/19 20:51:53] ppdet.engine INFO: Epoch: [271] [400/458] learning_rate: 0.006920 loss_vfl: 0.991459 loss_bbox: 0.428946 loss_dfl: 0.419984 loss: 1.826814 eta: 3:03:43 batch_cost: 0.8377 data_cost: 0.1982 ips: 76.3976 images/s
[03/19 20:52:07] ppdet.engine INFO: Epoch: [271] [420/458] learning_rate: 0.006899 loss_vfl: 0.995345 loss_bbox: 0.445414 loss_dfl: 0.410240 loss: 1.852698 eta: 3:03:26 batch_cost: 0.5982 data_cost: 0.0885 ips: 106.9836 images/s
[03/19 20:52:22] ppdet.engine INFO: Epoch: [271] [440/458] learning_rate: 0.006878 loss_vfl: 0.953231 loss_bbox: 0.446197 loss_dfl: 0.423809 loss: 1.831134 eta: 3:03:08 batch_cost: 0.6766 data_cost: 0.1887 ips: 94.5974 images/s
[03/19 20:52:44] ppdet.engine INFO: Epoch: [272] [  0/458] learning_rate: 0.006859 loss_vfl: 1.025708 loss_bbox: 0.468818 loss_dfl: 0.441945 loss: 1.941396 eta: 3:02:53 batch_cost: 0.9900 data_cost: 0.4649 ips: 64.6459 images/s
[03/19 20:53:05] ppdet.engine INFO: Epoch: [272] [ 20/458] learning_rate: 0.006837 loss_vfl: 0.985972 loss_bbox: 0.469200 loss_dfl: 0.432288 loss: 1.900129 eta: 3:02:36 batch_cost: 0.9393 data_cost: 0.0595 ips: 68.1345 images/s
[03/19 20:53:23] ppdet.engine INFO: Epoch: [272] [ 40/458] learning_rate: 0.006816 loss_vfl: 0.989561 loss_bbox: 0.450915 loss_dfl: 0.422729 loss: 1.881367 eta: 3:02:19 batch_cost: 0.7700 data_cost: 0.0031 ips: 83.1149 images/s
[03/19 20:53:43] ppdet.engine INFO: Epoch: [272] [ 60/458] learning_rate: 0.006795 loss_vfl: 0.965940 loss_bbox: 0.451178 loss_dfl: 0.428159 loss: 1.858612 eta: 3:02:02 batch_cost: 0.8675 data_cost: 0.0141 ips: 73.7748 images/s
[03/19 20:54:01] ppdet.engine INFO: Epoch: [272] [ 80/458] learning_rate: 0.006774 loss_vfl: 0.993168 loss_bbox: 0.449759 loss_dfl: 0.418220 loss: 1.838391 eta: 3:01:45 batch_cost: 0.7858 data_cost: 0.0141 ips: 81.4506 images/s
[03/19 20:54:21] ppdet.engine INFO: Epoch: [272] [100/458] learning_rate: 0.006753 loss_vfl: 0.949151 loss_bbox: 0.438838 loss_dfl: 0.419720 loss: 1.814564 eta: 3:01:28 batch_cost: 0.9061 data_cost: 0.0057 ips: 70.6318 images/s
[03/19 20:54:41] ppdet.engine INFO: Epoch: [272] [120/458] learning_rate: 0.006732 loss_vfl: 0.988938 loss_bbox: 0.450532 loss_dfl: 0.424961 loss: 1.861226 eta: 3:01:10 batch_cost: 0.8727 data_cost: 0.0006 ips: 73.3354 images/s
[03/19 20:55:01] ppdet.engine INFO: Epoch: [272] [140/458] learning_rate: 0.006711 loss_vfl: 0.984755 loss_bbox: 0.445863 loss_dfl: 0.423989 loss: 1.856949 eta: 3:00:53 batch_cost: 0.8809 data_cost: 0.0029 ips: 72.6533 images/s
[03/19 20:55:21] ppdet.engine INFO: Epoch: [272] [160/458] learning_rate: 0.006690 loss_vfl: 0.989217 loss_bbox: 0.452963 loss_dfl: 0.428510 loss: 1.867803 eta: 3:00:36 batch_cost: 0.9019 data_cost: 0.0041 ips: 70.9576 images/s
[03/19 20:55:41] ppdet.engine INFO: Epoch: [272] [180/458] learning_rate: 0.006669 loss_vfl: 0.975705 loss_bbox: 0.424425 loss_dfl: 0.411346 loss: 1.805920 eta: 3:00:19 batch_cost: 0.8932 data_cost: 0.0052 ips: 71.6523 images/s
[03/19 20:56:02] ppdet.engine INFO: Epoch: [272] [200/458] learning_rate: 0.006648 loss_vfl: 0.995282 loss_bbox: 0.439920 loss_dfl: 0.420379 loss: 1.841188 eta: 3:00:02 batch_cost: 0.9240 data_cost: 0.0015 ips: 69.2649 images/s
[03/19 20:56:20] ppdet.engine INFO: Epoch: [272] [220/458] learning_rate: 0.006627 loss_vfl: 0.961668 loss_bbox: 0.423916 loss_dfl: 0.413610 loss: 1.810709 eta: 2:59:45 batch_cost: 0.7741 data_cost: 0.0019 ips: 82.6772 images/s
[03/19 20:56:38] ppdet.engine INFO: Epoch: [272] [240/458] learning_rate: 0.006606 loss_vfl: 0.931651 loss_bbox: 0.424361 loss_dfl: 0.417908 loss: 1.768618 eta: 2:59:28 batch_cost: 0.7769 data_cost: 0.0042 ips: 82.3790 images/s
[03/19 20:56:58] ppdet.engine INFO: Epoch: [272] [260/458] learning_rate: 0.006585 loss_vfl: 0.966315 loss_bbox: 0.435086 loss_dfl: 0.414672 loss: 1.831776 eta: 2:59:11 batch_cost: 0.9210 data_cost: 0.0025 ips: 69.4930 images/s
[03/19 20:57:19] ppdet.engine INFO: Epoch: [272] [280/458] learning_rate: 0.006564 loss_vfl: 1.024065 loss_bbox: 0.466412 loss_dfl: 0.445811 loss: 1.933400 eta: 2:58:54 batch_cost: 0.8913 data_cost: 0.0056 ips: 71.8044 images/s
[03/19 20:57:38] ppdet.engine INFO: Epoch: [272] [300/458] learning_rate: 0.006544 loss_vfl: 0.979683 loss_bbox: 0.438389 loss_dfl: 0.414715 loss: 1.820277 eta: 2:58:37 batch_cost: 0.8740 data_cost: 0.0019 ips: 73.2260 images/s
[03/19 20:57:57] ppdet.engine INFO: Epoch: [272] [320/458] learning_rate: 0.006523 loss_vfl: 0.978636 loss_bbox: 0.464547 loss_dfl: 0.422815 loss: 1.851690 eta: 2:58:20 batch_cost: 0.8464 data_cost: 0.0029 ips: 75.6155 images/s
[03/19 20:58:17] ppdet.engine INFO: Epoch: [272] [340/458] learning_rate: 0.006502 loss_vfl: 0.973951 loss_bbox: 0.438195 loss_dfl: 0.406597 loss: 1.816750 eta: 2:58:03 batch_cost: 0.9009 data_cost: 0.0034 ips: 71.0373 images/s
[03/19 20:58:36] ppdet.engine INFO: Epoch: [272] [360/458] learning_rate: 0.006481 loss_vfl: 1.000438 loss_bbox: 0.445104 loss_dfl: 0.428133 loss: 1.882259 eta: 2:57:45 batch_cost: 0.8645 data_cost: 0.0031 ips: 74.0317 images/s
[03/19 20:58:56] ppdet.engine INFO: Epoch: [272] [380/458] learning_rate: 0.006461 loss_vfl: 0.945927 loss_bbox: 0.400163 loss_dfl: 0.384285 loss: 1.737456 eta: 2:57:28 batch_cost: 0.9067 data_cost: 0.0034 ips: 70.5833 images/s
[03/19 20:59:10] ppdet.engine INFO: Epoch: [272] [400/458] learning_rate: 0.006440 loss_vfl: 0.966508 loss_bbox: 0.443167 loss_dfl: 0.418858 loss: 1.821964 eta: 2:57:11 batch_cost: 0.5950 data_cost: 0.0056 ips: 107.5719 images/s
[03/19 20:59:25] ppdet.engine INFO: Epoch: [272] [420/458] learning_rate: 0.006420 loss_vfl: 1.006706 loss_bbox: 0.454872 loss_dfl: 0.430916 loss: 1.881753 eta: 2:56:53 batch_cost: 0.6286 data_cost: 0.0195 ips: 101.8130 images/s
[03/19 20:59:45] ppdet.engine INFO: Epoch: [272] [440/458] learning_rate: 0.006399 loss_vfl: 0.979980 loss_bbox: 0.436331 loss_dfl: 0.418310 loss: 1.821916 eta: 2:56:36 batch_cost: 0.8856 data_cost: 0.0676 ips: 72.2696 images/s
[03/19 21:00:06] ppdet.engine INFO: Epoch: [273] [  0/458] learning_rate: 0.006381 loss_vfl: 0.968318 loss_bbox: 0.440330 loss_dfl: 0.412525 loss: 1.819839 eta: 2:56:21 batch_cost: 0.9897 data_cost: 0.2046 ips: 64.6663 images/s
[03/19 21:00:25] ppdet.engine INFO: Epoch: [273] [ 20/458] learning_rate: 0.006360 loss_vfl: 0.942368 loss_bbox: 0.451103 loss_dfl: 0.424170 loss: 1.858221 eta: 2:56:04 batch_cost: 0.8467 data_cost: 0.0008 ips: 75.5892 images/s
[03/19 21:00:43] ppdet.engine INFO: Epoch: [273] [ 40/458] learning_rate: 0.006340 loss_vfl: 0.959656 loss_bbox: 0.452459 loss_dfl: 0.423063 loss: 1.826204 eta: 2:55:47 batch_cost: 0.8036 data_cost: 0.0523 ips: 79.6427 images/s
[03/19 21:01:05] ppdet.engine INFO: Epoch: [273] [ 60/458] learning_rate: 0.006319 loss_vfl: 0.969387 loss_bbox: 0.434726 loss_dfl: 0.414153 loss: 1.802357 eta: 2:55:30 batch_cost: 0.9806 data_cost: 0.1466 ips: 65.2693 images/s
[03/19 21:01:23] ppdet.engine INFO: Epoch: [273] [ 80/458] learning_rate: 0.006299 loss_vfl: 0.988870 loss_bbox: 0.443223 loss_dfl: 0.435960 loss: 1.894076 eta: 2:55:13 batch_cost: 0.7731 data_cost: 0.0460 ips: 82.7880 images/s
[03/19 21:01:43] ppdet.engine INFO: Epoch: [273] [100/458] learning_rate: 0.006279 loss_vfl: 0.968474 loss_bbox: 0.440328 loss_dfl: 0.421707 loss: 1.843902 eta: 2:54:55 batch_cost: 0.8859 data_cost: 0.1465 ips: 72.2394 images/s
[03/19 21:02:03] ppdet.engine INFO: Epoch: [273] [120/458] learning_rate: 0.006258 loss_vfl: 0.983602 loss_bbox: 0.441826 loss_dfl: 0.427643 loss: 1.864519 eta: 2:54:38 batch_cost: 0.8594 data_cost: 0.2029 ips: 74.4724 images/s
[03/19 21:02:26] ppdet.engine INFO: Epoch: [273] [140/458] learning_rate: 0.006238 loss_vfl: 0.999747 loss_bbox: 0.452755 loss_dfl: 0.434220 loss: 1.887707 eta: 2:54:21 batch_cost: 0.9537 data_cost: 0.3089 ips: 67.1056 images/s
[03/19 21:02:44] ppdet.engine INFO: Epoch: [273] [160/458] learning_rate: 0.006218 loss_vfl: 0.961047 loss_bbox: 0.426434 loss_dfl: 0.408719 loss: 1.798252 eta: 2:54:04 batch_cost: 0.8212 data_cost: 0.2470 ips: 77.9382 images/s
[03/19 21:03:05] ppdet.engine INFO: Epoch: [273] [180/458] learning_rate: 0.006197 loss_vfl: 1.022123 loss_bbox: 0.462078 loss_dfl: 0.430540 loss: 1.925033 eta: 2:53:47 batch_cost: 0.8865 data_cost: 0.1708 ips: 72.1932 images/s
[03/19 21:03:29] ppdet.engine INFO: Epoch: [273] [200/458] learning_rate: 0.006177 loss_vfl: 1.050781 loss_bbox: 0.457945 loss_dfl: 0.436497 loss: 1.945339 eta: 2:53:31 batch_cost: 1.0885 data_cost: 0.3261 ips: 58.7964 images/s
[03/19 21:03:48] ppdet.engine INFO: Epoch: [273] [220/458] learning_rate: 0.006157 loss_vfl: 0.997187 loss_bbox: 0.455052 loss_dfl: 0.424978 loss: 1.878347 eta: 2:53:13 batch_cost: 0.8491 data_cost: 0.2171 ips: 75.3727 images/s
[03/19 21:04:07] ppdet.engine INFO: Epoch: [273] [240/458] learning_rate: 0.006137 loss_vfl: 0.961627 loss_bbox: 0.412968 loss_dfl: 0.410249 loss: 1.758002 eta: 2:52:56 batch_cost: 0.8478 data_cost: 0.0902 ips: 75.4865 images/s
[03/19 21:04:28] ppdet.engine INFO: Epoch: [273] [260/458] learning_rate: 0.006117 loss_vfl: 0.928158 loss_bbox: 0.429788 loss_dfl: 0.404866 loss: 1.759838 eta: 2:52:39 batch_cost: 0.9093 data_cost: 0.3102 ips: 70.3851 images/s
[03/19 21:04:46] ppdet.engine INFO: Epoch: [273] [280/458] learning_rate: 0.006097 loss_vfl: 0.969145 loss_bbox: 0.437894 loss_dfl: 0.418743 loss: 1.817089 eta: 2:52:22 batch_cost: 0.7269 data_cost: 0.0341 ips: 88.0483 images/s
[03/19 21:05:06] ppdet.engine INFO: Epoch: [273] [300/458] learning_rate: 0.006077 loss_vfl: 0.945675 loss_bbox: 0.408158 loss_dfl: 0.401447 loss: 1.724395 eta: 2:52:05 batch_cost: 0.8551 data_cost: 0.1137 ips: 74.8485 images/s
[03/19 21:05:28] ppdet.engine INFO: Epoch: [273] [320/458] learning_rate: 0.006057 loss_vfl: 0.990254 loss_bbox: 0.451762 loss_dfl: 0.424853 loss: 1.859495 eta: 2:51:48 batch_cost: 0.9774 data_cost: 0.4215 ips: 65.4822 images/s
[03/19 21:05:47] ppdet.engine INFO: Epoch: [273] [340/458] learning_rate: 0.006037 loss_vfl: 0.986411 loss_bbox: 0.443873 loss_dfl: 0.422459 loss: 1.856525 eta: 2:51:31 batch_cost: 0.8492 data_cost: 0.2006 ips: 75.3649 images/s
[03/19 21:06:04] ppdet.engine INFO: Epoch: [273] [360/458] learning_rate: 0.006017 loss_vfl: 0.982967 loss_bbox: 0.457010 loss_dfl: 0.411910 loss: 1.825449 eta: 2:51:14 batch_cost: 0.7772 data_cost: 0.1753 ips: 82.3480 images/s
[03/19 21:06:20] ppdet.engine INFO: Epoch: [273] [380/458] learning_rate: 0.005997 loss_vfl: 0.967124 loss_bbox: 0.450230 loss_dfl: 0.422791 loss: 1.851511 eta: 2:50:56 batch_cost: 0.6756 data_cost: 0.2182 ips: 94.7328 images/s
[03/19 21:06:37] ppdet.engine INFO: Epoch: [273] [400/458] learning_rate: 0.005977 loss_vfl: 1.010821 loss_bbox: 0.455767 loss_dfl: 0.425737 loss: 1.875072 eta: 2:50:39 batch_cost: 0.8025 data_cost: 0.2706 ips: 79.7551 images/s
[03/19 21:06:57] ppdet.engine INFO: Epoch: [273] [420/458] learning_rate: 0.005957 loss_vfl: 0.961415 loss_bbox: 0.438521 loss_dfl: 0.420349 loss: 1.820579 eta: 2:50:22 batch_cost: 0.8503 data_cost: 0.1974 ips: 75.2666 images/s
[03/19 21:07:16] ppdet.engine INFO: Epoch: [273] [440/458] learning_rate: 0.005937 loss_vfl: 0.986456 loss_bbox: 0.458266 loss_dfl: 0.438315 loss: 1.889752 eta: 2:50:05 batch_cost: 0.8278 data_cost: 0.1796 ips: 77.3149 images/s
[03/19 21:07:38] ppdet.engine INFO: Epoch: [274] [  0/458] learning_rate: 0.005920 loss_vfl: 0.942760 loss_bbox: 0.425547 loss_dfl: 0.412337 loss: 1.793182 eta: 2:49:50 batch_cost: 1.0297 data_cost: 0.4966 ips: 62.1528 images/s
[03/19 21:07:58] ppdet.engine INFO: Epoch: [274] [ 20/458] learning_rate: 0.005900 loss_vfl: 0.975772 loss_bbox: 0.453153 loss_dfl: 0.423487 loss: 1.861687 eta: 2:49:32 batch_cost: 0.8527 data_cost: 0.0081 ips: 75.0527 images/s
[03/19 21:08:20] ppdet.engine INFO: Epoch: [274] [ 40/458] learning_rate: 0.005880 loss_vfl: 0.979265 loss_bbox: 0.447743 loss_dfl: 0.423150 loss: 1.824233 eta: 2:49:15 batch_cost: 0.9192 data_cost: 0.1781 ips: 69.6234 images/s
[03/19 21:08:40] ppdet.engine INFO: Epoch: [274] [ 60/458] learning_rate: 0.005861 loss_vfl: 0.940737 loss_bbox: 0.425442 loss_dfl: 0.398214 loss: 1.751340 eta: 2:48:58 batch_cost: 0.9096 data_cost: 0.0845 ips: 70.3578 images/s
[03/19 21:08:59] ppdet.engine INFO: Epoch: [274] [ 80/458] learning_rate: 0.005841 loss_vfl: 1.010642 loss_bbox: 0.455255 loss_dfl: 0.432840 loss: 1.886726 eta: 2:48:41 batch_cost: 0.8218 data_cost: 0.1197 ips: 77.8769 images/s
[03/19 21:09:19] ppdet.engine INFO: Epoch: [274] [100/458] learning_rate: 0.005821 loss_vfl: 0.967106 loss_bbox: 0.432636 loss_dfl: 0.415396 loss: 1.809215 eta: 2:48:24 batch_cost: 0.8778 data_cost: 0.2426 ips: 72.9098 images/s
[03/19 21:09:40] ppdet.engine INFO: Epoch: [274] [120/458] learning_rate: 0.005802 loss_vfl: 0.970059 loss_bbox: 0.459624 loss_dfl: 0.412234 loss: 1.834590 eta: 2:48:07 batch_cost: 0.8593 data_cost: 0.1446 ips: 74.4813 images/s
[03/19 21:10:00] ppdet.engine INFO: Epoch: [274] [140/458] learning_rate: 0.005782 loss_vfl: 0.986502 loss_bbox: 0.442234 loss_dfl: 0.419614 loss: 1.836790 eta: 2:47:50 batch_cost: 0.8790 data_cost: 0.2113 ips: 72.8101 images/s
[03/19 21:10:19] ppdet.engine INFO: Epoch: [274] [160/458] learning_rate: 0.005763 loss_vfl: 0.958557 loss_bbox: 0.440635 loss_dfl: 0.418948 loss: 1.821153 eta: 2:47:33 batch_cost: 0.7807 data_cost: 0.1446 ips: 81.9731 images/s
[03/19 21:10:40] ppdet.engine INFO: Epoch: [274] [180/458] learning_rate: 0.005743 loss_vfl: 1.015146 loss_bbox: 0.461871 loss_dfl: 0.436674 loss: 1.901587 eta: 2:47:16 batch_cost: 0.9413 data_cost: 0.2149 ips: 67.9887 images/s
[03/19 21:10:58] ppdet.engine INFO: Epoch: [274] [200/458] learning_rate: 0.005724 loss_vfl: 1.034249 loss_bbox: 0.472822 loss_dfl: 0.442694 loss: 1.954832 eta: 2:46:59 batch_cost: 0.7883 data_cost: 0.1222 ips: 81.1878 images/s
[03/19 21:11:16] ppdet.engine INFO: Epoch: [274] [220/458] learning_rate: 0.005704 loss_vfl: 0.964177 loss_bbox: 0.440047 loss_dfl: 0.412648 loss: 1.814344 eta: 2:46:41 batch_cost: 0.7760 data_cost: 0.0812 ips: 82.4771 images/s
[03/19 21:11:36] ppdet.engine INFO: Epoch: [274] [240/458] learning_rate: 0.005685 loss_vfl: 0.938314 loss_bbox: 0.434231 loss_dfl: 0.423089 loss: 1.826032 eta: 2:46:24 batch_cost: 0.8670 data_cost: 0.2678 ips: 73.8152 images/s
[03/19 21:11:57] ppdet.engine INFO: Epoch: [274] [260/458] learning_rate: 0.005665 loss_vfl: 1.014951 loss_bbox: 0.467235 loss_dfl: 0.432845 loss: 1.915400 eta: 2:46:07 batch_cost: 0.9443 data_cost: 0.2542 ips: 67.7768 images/s
[03/19 21:12:18] ppdet.engine INFO: Epoch: [274] [280/458] learning_rate: 0.005646 loss_vfl: 0.996335 loss_bbox: 0.434530 loss_dfl: 0.411988 loss: 1.843045 eta: 2:45:50 batch_cost: 0.8800 data_cost: 0.0116 ips: 72.7266 images/s
[03/19 21:12:39] ppdet.engine INFO: Epoch: [274] [300/458] learning_rate: 0.005627 loss_vfl: 0.935952 loss_bbox: 0.421885 loss_dfl: 0.410996 loss: 1.780291 eta: 2:45:33 batch_cost: 0.9555 data_cost: 0.1771 ips: 66.9793 images/s
[03/19 21:12:57] ppdet.engine INFO: Epoch: [274] [320/458] learning_rate: 0.005608 loss_vfl: 0.952185 loss_bbox: 0.440201 loss_dfl: 0.419033 loss: 1.797223 eta: 2:45:16 batch_cost: 0.8038 data_cost: 0.2216 ips: 79.6231 images/s
[03/19 21:13:12] ppdet.engine INFO: Epoch: [274] [340/458] learning_rate: 0.005588 loss_vfl: 0.989933 loss_bbox: 0.477951 loss_dfl: 0.431240 loss: 1.882412 eta: 2:44:59 batch_cost: 0.6765 data_cost: 0.1387 ips: 94.6031 images/s
[03/19 21:13:27] ppdet.engine INFO: Epoch: [274] [360/458] learning_rate: 0.005569 loss_vfl: 0.975572 loss_bbox: 0.448486 loss_dfl: 0.422024 loss: 1.841233 eta: 2:44:41 batch_cost: 0.6781 data_cost: 0.1070 ips: 94.3836 images/s
[03/19 21:13:46] ppdet.engine INFO: Epoch: [274] [380/458] learning_rate: 0.005550 loss_vfl: 0.988961 loss_bbox: 0.435525 loss_dfl: 0.419028 loss: 1.853406 eta: 2:44:24 batch_cost: 0.8374 data_cost: 0.1019 ips: 76.4276 images/s
[03/19 21:14:07] ppdet.engine INFO: Epoch: [274] [400/458] learning_rate: 0.005531 loss_vfl: 0.945296 loss_bbox: 0.439635 loss_dfl: 0.418935 loss: 1.807040 eta: 2:44:07 batch_cost: 0.9080 data_cost: 0.1979 ips: 70.4860 images/s
[03/19 21:14:28] ppdet.engine INFO: Epoch: [274] [420/458] learning_rate: 0.005512 loss_vfl: 0.998623 loss_bbox: 0.465762 loss_dfl: 0.437391 loss: 1.910446 eta: 2:43:50 batch_cost: 0.8604 data_cost: 0.0004 ips: 74.3833 images/s
[03/19 21:14:46] ppdet.engine INFO: Epoch: [274] [440/458] learning_rate: 0.005493 loss_vfl: 0.984978 loss_bbox: 0.447212 loss_dfl: 0.425079 loss: 1.863676 eta: 2:43:33 batch_cost: 0.7851 data_cost: 0.0308 ips: 81.5178 images/s
[03/19 21:15:06] ppdet.engine INFO: Epoch: [275] [  0/458] learning_rate: 0.005476 loss_vfl: 0.958758 loss_bbox: 0.451374 loss_dfl: 0.418327 loss: 1.835644 eta: 2:43:17 batch_cost: 0.9630 data_cost: 0.3512 ips: 66.4574 images/s
[03/19 21:15:28] ppdet.engine INFO: Epoch: [275] [ 20/458] learning_rate: 0.005457 loss_vfl: 0.993298 loss_bbox: 0.434341 loss_dfl: 0.424793 loss: 1.828431 eta: 2:43:01 batch_cost: 0.9742 data_cost: 0.0049 ips: 65.6969 images/s
[03/19 21:15:47] ppdet.engine INFO: Epoch: [275] [ 40/458] learning_rate: 0.005438 loss_vfl: 0.993456 loss_bbox: 0.446643 loss_dfl: 0.425717 loss: 1.870930 eta: 2:42:43 batch_cost: 0.8851 data_cost: 0.0022 ips: 72.3067 images/s
[03/19 21:16:08] ppdet.engine INFO: Epoch: [275] [ 60/458] learning_rate: 0.005419 loss_vfl: 0.965718 loss_bbox: 0.416965 loss_dfl: 0.414046 loss: 1.803626 eta: 2:42:26 batch_cost: 0.9129 data_cost: 0.0023 ips: 70.1076 images/s
[03/19 21:16:28] ppdet.engine INFO: Epoch: [275] [ 80/458] learning_rate: 0.005400 loss_vfl: 0.960197 loss_bbox: 0.443794 loss_dfl: 0.424637 loss: 1.849214 eta: 2:42:09 batch_cost: 0.9127 data_cost: 0.0022 ips: 70.1192 images/s
[03/19 21:16:49] ppdet.engine INFO: Epoch: [275] [100/458] learning_rate: 0.005381 loss_vfl: 0.980184 loss_bbox: 0.423089 loss_dfl: 0.415502 loss: 1.818188 eta: 2:41:52 batch_cost: 0.9627 data_cost: 0.0047 ips: 66.4816 images/s
[03/19 21:17:10] ppdet.engine INFO: Epoch: [275] [120/458] learning_rate: 0.005362 loss_vfl: 0.977780 loss_bbox: 0.409010 loss_dfl: 0.410294 loss: 1.790033 eta: 2:41:36 batch_cost: 0.9323 data_cost: 0.0037 ips: 68.6449 images/s
[03/19 21:17:31] ppdet.engine INFO: Epoch: [275] [140/458] learning_rate: 0.005343 loss_vfl: 1.013764 loss_bbox: 0.455571 loss_dfl: 0.433724 loss: 1.898219 eta: 2:41:19 batch_cost: 0.9812 data_cost: 0.0016 ips: 65.2247 images/s
[03/19 21:17:49] ppdet.engine INFO: Epoch: [275] [160/458] learning_rate: 0.005325 loss_vfl: 0.915440 loss_bbox: 0.419686 loss_dfl: 0.404582 loss: 1.770438 eta: 2:41:01 batch_cost: 0.8329 data_cost: 0.0034 ips: 76.8441 images/s
[03/19 21:18:09] ppdet.engine INFO: Epoch: [275] [180/458] learning_rate: 0.005306 loss_vfl: 1.014031 loss_bbox: 0.472742 loss_dfl: 0.446323 loss: 1.915836 eta: 2:40:44 batch_cost: 0.9166 data_cost: 0.0054 ips: 69.8249 images/s
[03/19 21:18:27] ppdet.engine INFO: Epoch: [275] [200/458] learning_rate: 0.005287 loss_vfl: 0.952864 loss_bbox: 0.429838 loss_dfl: 0.415819 loss: 1.792073 eta: 2:40:27 batch_cost: 0.8382 data_cost: 0.0030 ips: 76.3578 images/s
[03/19 21:18:47] ppdet.engine INFO: Epoch: [275] [220/458] learning_rate: 0.005268 loss_vfl: 0.950255 loss_bbox: 0.432911 loss_dfl: 0.414578 loss: 1.799483 eta: 2:40:10 batch_cost: 0.8536 data_cost: 0.0008 ips: 74.9786 images/s
[03/19 21:19:05] ppdet.engine INFO: Epoch: [275] [240/458] learning_rate: 0.005250 loss_vfl: 1.013091 loss_bbox: 0.467852 loss_dfl: 0.434402 loss: 1.930969 eta: 2:39:53 batch_cost: 0.8352 data_cost: 0.0016 ips: 76.6259 images/s
[03/19 21:19:27] ppdet.engine INFO: Epoch: [275] [260/458] learning_rate: 0.005231 loss_vfl: 0.993393 loss_bbox: 0.449755 loss_dfl: 0.423163 loss: 1.855329 eta: 2:39:36 batch_cost: 0.9895 data_cost: 0.0018 ips: 64.6770 images/s
[03/19 21:19:48] ppdet.engine INFO: Epoch: [275] [280/458] learning_rate: 0.005213 loss_vfl: 0.977133 loss_bbox: 0.456945 loss_dfl: 0.429771 loss: 1.863184 eta: 2:39:19 batch_cost: 0.9279 data_cost: 0.0025 ips: 68.9712 images/s
[03/19 21:20:06] ppdet.engine INFO: Epoch: [275] [300/458] learning_rate: 0.005194 loss_vfl: 0.973757 loss_bbox: 0.428802 loss_dfl: 0.412974 loss: 1.795789 eta: 2:39:02 batch_cost: 0.8595 data_cost: 0.0019 ips: 74.4598 images/s
[03/19 21:20:21] ppdet.engine INFO: Epoch: [275] [320/458] learning_rate: 0.005175 loss_vfl: 0.979029 loss_bbox: 0.446523 loss_dfl: 0.419070 loss: 1.838597 eta: 2:38:45 batch_cost: 0.6345 data_cost: 0.0025 ips: 100.8679 images/s
[03/19 21:20:34] ppdet.engine INFO: Epoch: [275] [340/458] learning_rate: 0.005157 loss_vfl: 0.993469 loss_bbox: 0.458862 loss_dfl: 0.431773 loss: 1.877304 eta: 2:38:27 batch_cost: 0.5878 data_cost: 0.0030 ips: 108.8754 images/s
[03/19 21:20:53] ppdet.engine INFO: Epoch: [275] [360/458] learning_rate: 0.005139 loss_vfl: 0.995896 loss_bbox: 0.452117 loss_dfl: 0.428843 loss: 1.874435 eta: 2:38:10 batch_cost: 0.8555 data_cost: 0.0060 ips: 74.8058 images/s
[03/19 21:21:15] ppdet.engine INFO: Epoch: [275] [380/458] learning_rate: 0.005120 loss_vfl: 0.982460 loss_bbox: 0.434998 loss_dfl: 0.424605 loss: 1.842181 eta: 2:37:53 batch_cost: 0.9907 data_cost: 0.0010 ips: 64.6021 images/s
[03/19 21:21:33] ppdet.engine INFO: Epoch: [275] [400/458] learning_rate: 0.005102 loss_vfl: 0.988439 loss_bbox: 0.482058 loss_dfl: 0.438897 loss: 1.895718 eta: 2:37:36 batch_cost: 0.8289 data_cost: 0.0033 ips: 77.2128 images/s
[03/19 21:21:51] ppdet.engine INFO: Epoch: [275] [420/458] learning_rate: 0.005083 loss_vfl: 0.941240 loss_bbox: 0.420195 loss_dfl: 0.409761 loss: 1.791511 eta: 2:37:19 batch_cost: 0.7979 data_cost: 0.0055 ips: 80.2060 images/s
[03/19 21:22:13] ppdet.engine INFO: Epoch: [275] [440/458] learning_rate: 0.005065 loss_vfl: 0.970325 loss_bbox: 0.451134 loss_dfl: 0.421750 loss: 1.837103 eta: 2:37:02 batch_cost: 0.9472 data_cost: 0.0024 ips: 67.5643 images/s
[03/19 21:22:32] ppdet.engine INFO: Epoch: [276] [  0/458] learning_rate: 0.005049 loss_vfl: 0.993136 loss_bbox: 0.451383 loss_dfl: 0.430938 loss: 1.879080 eta: 2:36:46 batch_cost: 1.0090 data_cost: 0.3424 ips: 63.4270 images/s
[03/19 21:22:52] ppdet.engine INFO: Epoch: [276] [ 20/458] learning_rate: 0.005030 loss_vfl: 0.967774 loss_bbox: 0.438271 loss_dfl: 0.413898 loss: 1.820902 eta: 2:36:29 batch_cost: 0.8333 data_cost: 0.0723 ips: 76.8038 images/s
[03/19 21:23:13] ppdet.engine INFO: Epoch: [276] [ 40/458] learning_rate: 0.005012 loss_vfl: 0.951191 loss_bbox: 0.420033 loss_dfl: 0.407785 loss: 1.799174 eta: 2:36:12 batch_cost: 0.8852 data_cost: 0.1062 ips: 72.3017 images/s
[03/19 21:23:34] ppdet.engine INFO: Epoch: [276] [ 60/458] learning_rate: 0.004994 loss_vfl: 0.972769 loss_bbox: 0.437019 loss_dfl: 0.405231 loss: 1.817988 eta: 2:35:55 batch_cost: 0.9263 data_cost: 0.2430 ips: 69.0952 images/s
[03/19 21:23:55] ppdet.engine INFO: Epoch: [276] [ 80/458] learning_rate: 0.004976 loss_vfl: 0.988156 loss_bbox: 0.449851 loss_dfl: 0.426280 loss: 1.881045 eta: 2:35:38 batch_cost: 0.9743 data_cost: 0.2147 ips: 65.6869 images/s
[03/19 21:24:14] ppdet.engine INFO: Epoch: [276] [100/458] learning_rate: 0.004958 loss_vfl: 1.014230 loss_bbox: 0.473220 loss_dfl: 0.449335 loss: 1.943005 eta: 2:35:21 batch_cost: 0.8014 data_cost: 0.1607 ips: 79.8641 images/s
[03/19 21:24:35] ppdet.engine INFO: Epoch: [276] [120/458] learning_rate: 0.004940 loss_vfl: 0.899656 loss_bbox: 0.419140 loss_dfl: 0.400605 loss: 1.729428 eta: 2:35:04 batch_cost: 0.8901 data_cost: 0.2127 ips: 71.9000 images/s
[03/19 21:24:53] ppdet.engine INFO: Epoch: [276] [140/458] learning_rate: 0.004921 loss_vfl: 0.959618 loss_bbox: 0.422085 loss_dfl: 0.406534 loss: 1.783788 eta: 2:34:47 batch_cost: 0.7345 data_cost: 0.1195 ips: 87.1346 images/s
[03/19 21:25:12] ppdet.engine INFO: Epoch: [276] [160/458] learning_rate: 0.004903 loss_vfl: 0.984201 loss_bbox: 0.429436 loss_dfl: 0.426202 loss: 1.856098 eta: 2:34:30 batch_cost: 0.8579 data_cost: 0.0372 ips: 74.6049 images/s
[03/19 21:25:32] ppdet.engine INFO: Epoch: [276] [180/458] learning_rate: 0.004885 loss_vfl: 0.942585 loss_bbox: 0.454227 loss_dfl: 0.416297 loss: 1.824794 eta: 2:34:12 batch_cost: 0.8754 data_cost: 0.0080 ips: 73.1079 images/s
[03/19 21:25:55] ppdet.engine INFO: Epoch: [276] [200/458] learning_rate: 0.004867 loss_vfl: 0.972170 loss_bbox: 0.462001 loss_dfl: 0.427927 loss: 1.869096 eta: 2:33:56 batch_cost: 0.9885 data_cost: 0.0034 ips: 64.7430 images/s
[03/19 21:26:14] ppdet.engine INFO: Epoch: [276] [220/458] learning_rate: 0.004850 loss_vfl: 0.950072 loss_bbox: 0.424677 loss_dfl: 0.411747 loss: 1.778847 eta: 2:33:38 batch_cost: 0.8391 data_cost: 0.0046 ips: 76.2698 images/s
[03/19 21:26:33] ppdet.engine INFO: Epoch: [276] [240/458] learning_rate: 0.004832 loss_vfl: 0.937298 loss_bbox: 0.430275 loss_dfl: 0.404074 loss: 1.773283 eta: 2:33:21 batch_cost: 0.8321 data_cost: 0.0083 ips: 76.9176 images/s
[03/19 21:26:51] ppdet.engine INFO: Epoch: [276] [260/458] learning_rate: 0.004814 loss_vfl: 0.978455 loss_bbox: 0.442449 loss_dfl: 0.424807 loss: 1.858378 eta: 2:33:04 batch_cost: 0.7875 data_cost: 0.0051 ips: 81.2691 images/s
[03/19 21:27:08] ppdet.engine INFO: Epoch: [276] [280/458] learning_rate: 0.004796 loss_vfl: 0.987847 loss_bbox: 0.445510 loss_dfl: 0.420793 loss: 1.868039 eta: 2:32:47 batch_cost: 0.7377 data_cost: 0.0020 ips: 86.7611 images/s
[03/19 21:27:25] ppdet.engine INFO: Epoch: [276] [300/458] learning_rate: 0.004778 loss_vfl: 0.979436 loss_bbox: 0.443129 loss_dfl: 0.423767 loss: 1.836196 eta: 2:32:29 batch_cost: 0.6829 data_cost: 0.0020 ips: 93.7122 images/s
[03/19 21:27:39] ppdet.engine INFO: Epoch: [276] [320/458] learning_rate: 0.004760 loss_vfl: 0.983687 loss_bbox: 0.462565 loss_dfl: 0.437718 loss: 1.907799 eta: 2:32:12 batch_cost: 0.6243 data_cost: 0.0015 ips: 102.5116 images/s
[03/19 21:27:59] ppdet.engine INFO: Epoch: [276] [340/458] learning_rate: 0.004743 loss_vfl: 0.982988 loss_bbox: 0.425008 loss_dfl: 0.412931 loss: 1.801582 eta: 2:31:55 batch_cost: 0.8547 data_cost: 0.0686 ips: 74.8778 images/s
[03/19 21:28:18] ppdet.engine INFO: Epoch: [276] [360/458] learning_rate: 0.004725 loss_vfl: 0.974453 loss_bbox: 0.445171 loss_dfl: 0.421001 loss: 1.850295 eta: 2:31:38 batch_cost: 0.8411 data_cost: 0.1922 ips: 76.0914 images/s
[03/19 21:28:38] ppdet.engine INFO: Epoch: [276] [380/458] learning_rate: 0.004707 loss_vfl: 0.946305 loss_bbox: 0.418709 loss_dfl: 0.403457 loss: 1.757579 eta: 2:31:21 batch_cost: 0.9209 data_cost: 0.1617 ips: 69.4975 images/s
[03/19 21:28:59] ppdet.engine INFO: Epoch: [276] [400/458] learning_rate: 0.004690 loss_vfl: 0.970479 loss_bbox: 0.448043 loss_dfl: 0.421007 loss: 1.831347 eta: 2:31:04 batch_cost: 0.8902 data_cost: 0.2720 ips: 71.8971 images/s
[03/19 21:29:18] ppdet.engine INFO: Epoch: [276] [420/458] learning_rate: 0.004672 loss_vfl: 0.988750 loss_bbox: 0.450329 loss_dfl: 0.424753 loss: 1.851939 eta: 2:30:46 batch_cost: 0.8893 data_cost: 0.0288 ips: 71.9648 images/s
[03/19 21:29:36] ppdet.engine INFO: Epoch: [276] [440/458] learning_rate: 0.004654 loss_vfl: 0.995975 loss_bbox: 0.445949 loss_dfl: 0.426520 loss: 1.873725 eta: 2:30:29 batch_cost: 0.7727 data_cost: 0.1944 ips: 82.8275 images/s
[03/19 21:29:58] ppdet.engine INFO: Epoch: [277] [  0/458] learning_rate: 0.004639 loss_vfl: 1.004845 loss_bbox: 0.453499 loss_dfl: 0.423480 loss: 1.898923 eta: 2:30:14 batch_cost: 1.0111 data_cost: 0.5087 ips: 63.3000 images/s
[03/19 21:30:18] ppdet.engine INFO: Epoch: [277] [ 20/458] learning_rate: 0.004621 loss_vfl: 1.033313 loss_bbox: 0.458085 loss_dfl: 0.435680 loss: 1.934914 eta: 2:29:57 batch_cost: 0.8705 data_cost: 0.0062 ips: 73.5189 images/s
[03/19 21:30:40] ppdet.engine INFO: Epoch: [277] [ 40/458] learning_rate: 0.004604 loss_vfl: 0.974336 loss_bbox: 0.448705 loss_dfl: 0.425352 loss: 1.851629 eta: 2:29:40 batch_cost: 1.0379 data_cost: 0.0013 ips: 61.6646 images/s
[03/19 21:30:58] ppdet.engine INFO: Epoch: [277] [ 60/458] learning_rate: 0.004586 loss_vfl: 0.959995 loss_bbox: 0.437016 loss_dfl: 0.410684 loss: 1.800930 eta: 2:29:23 batch_cost: 0.8123 data_cost: 0.0062 ips: 78.7895 images/s
[03/19 21:31:17] ppdet.engine INFO: Epoch: [277] [ 80/458] learning_rate: 0.004569 loss_vfl: 0.935349 loss_bbox: 0.422695 loss_dfl: 0.406875 loss: 1.801994 eta: 2:29:06 batch_cost: 0.8804 data_cost: 0.0023 ips: 72.6913 images/s
[03/19 21:31:34] ppdet.engine INFO: Epoch: [277] [100/458] learning_rate: 0.004551 loss_vfl: 0.946950 loss_bbox: 0.434530 loss_dfl: 0.409029 loss: 1.797400 eta: 2:28:49 batch_cost: 0.7798 data_cost: 0.0029 ips: 82.0713 images/s
[03/19 21:31:53] ppdet.engine INFO: Epoch: [277] [120/458] learning_rate: 0.004534 loss_vfl: 0.955206 loss_bbox: 0.436097 loss_dfl: 0.416608 loss: 1.814576 eta: 2:28:32 batch_cost: 0.8057 data_cost: 0.0027 ips: 79.4304 images/s
[03/19 21:32:15] ppdet.engine INFO: Epoch: [277] [140/458] learning_rate: 0.004517 loss_vfl: 0.951596 loss_bbox: 0.426260 loss_dfl: 0.419060 loss: 1.800347 eta: 2:28:15 batch_cost: 0.9778 data_cost: 0.0035 ips: 65.4551 images/s
[03/19 21:32:34] ppdet.engine INFO: Epoch: [277] [160/458] learning_rate: 0.004499 loss_vfl: 0.987775 loss_bbox: 0.450566 loss_dfl: 0.435385 loss: 1.869699 eta: 2:27:58 batch_cost: 0.8609 data_cost: 0.0015 ips: 74.3428 images/s
[03/19 21:32:53] ppdet.engine INFO: Epoch: [277] [180/458] learning_rate: 0.004482 loss_vfl: 1.007832 loss_bbox: 0.430016 loss_dfl: 0.420503 loss: 1.872272 eta: 2:27:40 batch_cost: 0.8561 data_cost: 0.0005 ips: 74.7570 images/s
[03/19 21:33:13] ppdet.engine INFO: Epoch: [277] [200/458] learning_rate: 0.004465 loss_vfl: 0.983642 loss_bbox: 0.454829 loss_dfl: 0.425242 loss: 1.852698 eta: 2:27:23 batch_cost: 0.9143 data_cost: 0.0079 ips: 69.9975 images/s
[03/19 21:33:33] ppdet.engine INFO: Epoch: [277] [220/458] learning_rate: 0.004448 loss_vfl: 0.966327 loss_bbox: 0.436180 loss_dfl: 0.419106 loss: 1.809554 eta: 2:27:06 batch_cost: 0.9050 data_cost: 0.0024 ips: 70.7162 images/s
[03/19 21:33:55] ppdet.engine INFO: Epoch: [277] [240/458] learning_rate: 0.004431 loss_vfl: 0.972049 loss_bbox: 0.439601 loss_dfl: 0.419395 loss: 1.838528 eta: 2:26:49 batch_cost: 0.9995 data_cost: 0.0022 ips: 64.0335 images/s
[03/19 21:34:13] ppdet.engine INFO: Epoch: [277] [260/458] learning_rate: 0.004414 loss_vfl: 1.001314 loss_bbox: 0.457492 loss_dfl: 0.436866 loss: 1.914753 eta: 2:26:32 batch_cost: 0.8061 data_cost: 0.0021 ips: 79.3912 images/s
[03/19 21:34:30] ppdet.engine INFO: Epoch: [277] [280/458] learning_rate: 0.004396 loss_vfl: 0.977721 loss_bbox: 0.444977 loss_dfl: 0.423211 loss: 1.861520 eta: 2:26:15 batch_cost: 0.7482 data_cost: 0.0030 ips: 85.5429 images/s
[03/19 21:34:44] ppdet.engine INFO: Epoch: [277] [300/458] learning_rate: 0.004379 loss_vfl: 0.990139 loss_bbox: 0.454362 loss_dfl: 0.410026 loss: 1.829507 eta: 2:25:57 batch_cost: 0.6248 data_cost: 0.0038 ips: 102.4255 images/s
[03/19 21:34:58] ppdet.engine INFO: Epoch: [277] [320/458] learning_rate: 0.004362 loss_vfl: 0.995415 loss_bbox: 0.438744 loss_dfl: 0.418934 loss: 1.833483 eta: 2:25:40 batch_cost: 0.6300 data_cost: 0.0021 ips: 101.5911 images/s
[03/19 21:35:20] ppdet.engine INFO: Epoch: [277] [340/458] learning_rate: 0.004345 loss_vfl: 0.957916 loss_bbox: 0.439294 loss_dfl: 0.414410 loss: 1.813684 eta: 2:25:23 batch_cost: 0.9890 data_cost: 0.0033 ips: 64.7087 images/s
[03/19 21:35:41] ppdet.engine INFO: Epoch: [277] [360/458] learning_rate: 0.004328 loss_vfl: 0.923811 loss_bbox: 0.425547 loss_dfl: 0.403686 loss: 1.734252 eta: 2:25:06 batch_cost: 0.9143 data_cost: 0.0013 ips: 69.9971 images/s
[03/19 21:36:01] ppdet.engine INFO: Epoch: [277] [380/458] learning_rate: 0.004312 loss_vfl: 0.970595 loss_bbox: 0.449328 loss_dfl: 0.420043 loss: 1.843684 eta: 2:24:49 batch_cost: 0.9014 data_cost: 0.0052 ips: 70.9999 images/s
[03/19 21:36:20] ppdet.engine INFO: Epoch: [277] [400/458] learning_rate: 0.004295 loss_vfl: 0.921867 loss_bbox: 0.428352 loss_dfl: 0.396803 loss: 1.736876 eta: 2:24:32 batch_cost: 0.8645 data_cost: 0.0043 ips: 74.0297 images/s
[03/19 21:36:38] ppdet.engine INFO: Epoch: [277] [420/458] learning_rate: 0.004278 loss_vfl: 0.974685 loss_bbox: 0.438394 loss_dfl: 0.416599 loss: 1.821717 eta: 2:24:15 batch_cost: 0.8305 data_cost: 0.0016 ips: 77.0614 images/s
[03/19 21:36:58] ppdet.engine INFO: Epoch: [277] [440/458] learning_rate: 0.004261 loss_vfl: 0.961672 loss_bbox: 0.448293 loss_dfl: 0.409479 loss: 1.804800 eta: 2:23:58 batch_cost: 0.9019 data_cost: 0.0025 ips: 70.9585 images/s
[03/19 21:37:22] ppdet.engine INFO: Epoch: [278] [  0/458] learning_rate: 0.004246 loss_vfl: 0.949408 loss_bbox: 0.433550 loss_dfl: 0.415166 loss: 1.805575 eta: 2:23:43 batch_cost: 1.0951 data_cost: 0.3506 ips: 58.4406 images/s
[03/19 21:37:41] ppdet.engine INFO: Epoch: [278] [ 20/458] learning_rate: 0.004229 loss_vfl: 0.946288 loss_bbox: 0.435155 loss_dfl: 0.413658 loss: 1.780723 eta: 2:23:26 batch_cost: 0.8733 data_cost: 0.0015 ips: 73.2826 images/s
[03/19 21:38:00] ppdet.engine INFO: Epoch: [278] [ 40/458] learning_rate: 0.004212 loss_vfl: 0.954961 loss_bbox: 0.426806 loss_dfl: 0.414901 loss: 1.797694 eta: 2:23:09 batch_cost: 0.8758 data_cost: 0.0021 ips: 73.0762 images/s
[03/19 21:38:20] ppdet.engine INFO: Epoch: [278] [ 60/458] learning_rate: 0.004196 loss_vfl: 0.954254 loss_bbox: 0.433375 loss_dfl: 0.409469 loss: 1.798042 eta: 2:22:52 batch_cost: 0.9136 data_cost: 0.0036 ips: 70.0561 images/s
[03/19 21:38:40] ppdet.engine INFO: Epoch: [278] [ 80/458] learning_rate: 0.004179 loss_vfl: 0.980950 loss_bbox: 0.448414 loss_dfl: 0.431536 loss: 1.864487 eta: 2:22:35 batch_cost: 0.9267 data_cost: 0.0017 ips: 69.0608 images/s
[03/19 21:39:01] ppdet.engine INFO: Epoch: [278] [100/458] learning_rate: 0.004162 loss_vfl: 0.983488 loss_bbox: 0.446411 loss_dfl: 0.414593 loss: 1.834647 eta: 2:22:18 batch_cost: 0.9803 data_cost: 0.0019 ips: 65.2845 images/s
[03/19 21:39:20] ppdet.engine INFO: Epoch: [278] [120/458] learning_rate: 0.004146 loss_vfl: 0.954180 loss_bbox: 0.440853 loss_dfl: 0.407311 loss: 1.814700 eta: 2:22:00 batch_cost: 0.8215 data_cost: 0.0089 ips: 77.9042 images/s
[03/19 21:39:42] ppdet.engine INFO: Epoch: [278] [140/458] learning_rate: 0.004129 loss_vfl: 0.970324 loss_bbox: 0.460863 loss_dfl: 0.427574 loss: 1.876639 eta: 2:21:44 batch_cost: 0.9893 data_cost: 0.0054 ips: 64.6920 images/s
[03/19 21:39:59] ppdet.engine INFO: Epoch: [278] [160/458] learning_rate: 0.004113 loss_vfl: 1.017966 loss_bbox: 0.446093 loss_dfl: 0.438687 loss: 1.935389 eta: 2:21:26 batch_cost: 0.7812 data_cost: 0.0045 ips: 81.9290 images/s
[03/19 21:40:20] ppdet.engine INFO: Epoch: [278] [180/458] learning_rate: 0.004096 loss_vfl: 0.961155 loss_bbox: 0.441489 loss_dfl: 0.416692 loss: 1.830917 eta: 2:21:09 batch_cost: 0.9047 data_cost: 0.0037 ips: 70.7436 images/s
[03/19 21:40:39] ppdet.engine INFO: Epoch: [278] [200/458] learning_rate: 0.004080 loss_vfl: 1.044947 loss_bbox: 0.473736 loss_dfl: 0.447738 loss: 1.967787 eta: 2:20:52 batch_cost: 0.8503 data_cost: 0.0060 ips: 75.2717 images/s
[03/19 21:41:00] ppdet.engine INFO: Epoch: [278] [220/458] learning_rate: 0.004063 loss_vfl: 0.986449 loss_bbox: 0.437782 loss_dfl: 0.425825 loss: 1.844480 eta: 2:20:35 batch_cost: 0.9660 data_cost: 0.0011 ips: 66.2516 images/s
[03/19 21:41:20] ppdet.engine INFO: Epoch: [278] [240/458] learning_rate: 0.004047 loss_vfl: 0.992872 loss_bbox: 0.451944 loss_dfl: 0.422526 loss: 1.881359 eta: 2:20:18 batch_cost: 0.9166 data_cost: 0.0003 ips: 69.8221 images/s
[03/19 21:41:36] ppdet.engine INFO: Epoch: [278] [260/458] learning_rate: 0.004030 loss_vfl: 0.963313 loss_bbox: 0.433588 loss_dfl: 0.420117 loss: 1.811126 eta: 2:20:01 batch_cost: 0.6989 data_cost: 0.0038 ips: 91.5742 images/s
[03/19 21:41:52] ppdet.engine INFO: Epoch: [278] [280/458] learning_rate: 0.004014 loss_vfl: 0.996346 loss_bbox: 0.437054 loss_dfl: 0.431633 loss: 1.884223 eta: 2:19:43 batch_cost: 0.7105 data_cost: 0.0071 ips: 90.0825 images/s
[03/19 21:42:09] ppdet.engine INFO: Epoch: [278] [300/458] learning_rate: 0.003998 loss_vfl: 0.972631 loss_bbox: 0.449087 loss_dfl: 0.436384 loss: 1.859789 eta: 2:19:26 batch_cost: 0.7796 data_cost: 0.0048 ips: 82.0950 images/s
[03/19 21:42:26] ppdet.engine INFO: Epoch: [278] [320/458] learning_rate: 0.003982 loss_vfl: 0.954558 loss_bbox: 0.438614 loss_dfl: 0.423051 loss: 1.807696 eta: 2:19:09 batch_cost: 0.7333 data_cost: 0.0042 ips: 87.2808 images/s
[03/19 21:42:45] ppdet.engine INFO: Epoch: [278] [340/458] learning_rate: 0.003965 loss_vfl: 0.987370 loss_bbox: 0.424049 loss_dfl: 0.419119 loss: 1.832961 eta: 2:18:52 batch_cost: 0.8350 data_cost: 0.0116 ips: 76.6486 images/s
[03/19 21:43:05] ppdet.engine INFO: Epoch: [278] [360/458] learning_rate: 0.003949 loss_vfl: 0.996814 loss_bbox: 0.443215 loss_dfl: 0.420157 loss: 1.858294 eta: 2:18:35 batch_cost: 0.8854 data_cost: 0.0040 ips: 72.2830 images/s
[03/19 21:43:23] ppdet.engine INFO: Epoch: [278] [380/458] learning_rate: 0.003933 loss_vfl: 0.980865 loss_bbox: 0.401469 loss_dfl: 0.402166 loss: 1.784191 eta: 2:18:17 batch_cost: 0.7962 data_cost: 0.0029 ips: 80.3856 images/s
[03/19 21:43:41] ppdet.engine INFO: Epoch: [278] [400/458] learning_rate: 0.003917 loss_vfl: 0.962684 loss_bbox: 0.444273 loss_dfl: 0.423352 loss: 1.818432 eta: 2:18:00 batch_cost: 0.7720 data_cost: 0.0021 ips: 82.8969 images/s
[03/19 21:44:01] ppdet.engine INFO: Epoch: [278] [420/458] learning_rate: 0.003901 loss_vfl: 1.004431 loss_bbox: 0.462265 loss_dfl: 0.437181 loss: 1.878013 eta: 2:17:43 batch_cost: 0.8957 data_cost: 0.0039 ips: 71.4506 images/s
[03/19 21:44:21] ppdet.engine INFO: Epoch: [278] [440/458] learning_rate: 0.003885 loss_vfl: 1.038978 loss_bbox: 0.469410 loss_dfl: 0.440714 loss: 1.939976 eta: 2:17:26 batch_cost: 0.8975 data_cost: 0.0054 ips: 71.3089 images/s
[03/19 21:44:44] ppdet.engine INFO: Epoch: [279] [  0/458] learning_rate: 0.003870 loss_vfl: 0.963348 loss_bbox: 0.453703 loss_dfl: 0.412920 loss: 1.826787 eta: 2:17:11 batch_cost: 1.1122 data_cost: 0.2669 ips: 57.5438 images/s
[03/19 21:45:03] ppdet.engine INFO: Epoch: [279] [ 20/458] learning_rate: 0.003854 loss_vfl: 0.939398 loss_bbox: 0.424268 loss_dfl: 0.410150 loss: 1.753302 eta: 2:16:54 batch_cost: 0.8768 data_cost: 0.0023 ips: 72.9943 images/s
[03/19 21:45:21] ppdet.engine INFO: Epoch: [279] [ 40/458] learning_rate: 0.003838 loss_vfl: 0.911667 loss_bbox: 0.432278 loss_dfl: 0.410558 loss: 1.747351 eta: 2:16:37 batch_cost: 0.8166 data_cost: 0.0008 ips: 78.3706 images/s
[03/19 21:45:41] ppdet.engine INFO: Epoch: [279] [ 60/458] learning_rate: 0.003822 loss_vfl: 0.995218 loss_bbox: 0.448694 loss_dfl: 0.425226 loss: 1.864039 eta: 2:16:20 batch_cost: 0.8982 data_cost: 0.0034 ips: 71.2551 images/s
[03/19 21:46:01] ppdet.engine INFO: Epoch: [279] [ 80/458] learning_rate: 0.003806 loss_vfl: 0.999637 loss_bbox: 0.439083 loss_dfl: 0.426287 loss: 1.858433 eta: 2:16:03 batch_cost: 0.8617 data_cost: 0.0037 ips: 74.2730 images/s
[03/19 21:46:20] ppdet.engine INFO: Epoch: [279] [100/458] learning_rate: 0.003790 loss_vfl: 0.941315 loss_bbox: 0.415945 loss_dfl: 0.408599 loss: 1.766760 eta: 2:15:46 batch_cost: 0.8863 data_cost: 0.0075 ips: 72.2080 images/s
[03/19 21:46:40] ppdet.engine INFO: Epoch: [279] [120/458] learning_rate: 0.003775 loss_vfl: 0.974495 loss_bbox: 0.444088 loss_dfl: 0.429563 loss: 1.865111 eta: 2:15:29 batch_cost: 0.9214 data_cost: 0.0030 ips: 69.4585 images/s
[03/19 21:47:01] ppdet.engine INFO: Epoch: [279] [140/458] learning_rate: 0.003759 loss_vfl: 0.957654 loss_bbox: 0.435905 loss_dfl: 0.424344 loss: 1.816296 eta: 2:15:12 batch_cost: 0.9201 data_cost: 0.0031 ips: 69.5582 images/s
[03/19 21:47:19] ppdet.engine INFO: Epoch: [279] [160/458] learning_rate: 0.003743 loss_vfl: 0.971409 loss_bbox: 0.443466 loss_dfl: 0.414546 loss: 1.836446 eta: 2:14:54 batch_cost: 0.7992 data_cost: 0.0017 ips: 80.0792 images/s
[03/19 21:47:40] ppdet.engine INFO: Epoch: [279] [180/458] learning_rate: 0.003727 loss_vfl: 1.019783 loss_bbox: 0.479081 loss_dfl: 0.438468 loss: 1.897826 eta: 2:14:37 batch_cost: 0.9533 data_cost: 0.0013 ips: 67.1326 images/s
[03/19 21:48:00] ppdet.engine INFO: Epoch: [279] [200/458] learning_rate: 0.003711 loss_vfl: 1.012414 loss_bbox: 0.455805 loss_dfl: 0.421998 loss: 1.878275 eta: 2:14:20 batch_cost: 0.9458 data_cost: 0.0024 ips: 67.6679 images/s
[03/19 21:48:19] ppdet.engine INFO: Epoch: [279] [220/458] learning_rate: 0.003696 loss_vfl: 0.943153 loss_bbox: 0.451225 loss_dfl: 0.415606 loss: 1.804856 eta: 2:14:03 batch_cost: 0.8123 data_cost: 0.0054 ips: 78.7857 images/s
[03/19 21:48:38] ppdet.engine INFO: Epoch: [279] [240/458] learning_rate: 0.003680 loss_vfl: 0.979321 loss_bbox: 0.438181 loss_dfl: 0.421395 loss: 1.830479 eta: 2:13:46 batch_cost: 0.9057 data_cost: 0.0050 ips: 70.6651 images/s
[03/19 21:48:55] ppdet.engine INFO: Epoch: [279] [260/458] learning_rate: 0.003665 loss_vfl: 0.951488 loss_bbox: 0.433199 loss_dfl: 0.411699 loss: 1.820532 eta: 2:13:29 batch_cost: 0.7569 data_cost: 0.0043 ips: 84.5574 images/s
[03/19 21:49:10] ppdet.engine INFO: Epoch: [279] [280/458] learning_rate: 0.003649 loss_vfl: 0.927251 loss_bbox: 0.419979 loss_dfl: 0.408985 loss: 1.767270 eta: 2:13:12 batch_cost: 0.6316 data_cost: 0.0078 ips: 101.3337 images/s
[03/19 21:49:26] ppdet.engine INFO: Epoch: [279] [300/458] learning_rate: 0.003633 loss_vfl: 0.979543 loss_bbox: 0.444091 loss_dfl: 0.418056 loss: 1.842398 eta: 2:12:54 batch_cost: 0.7218 data_cost: 0.0030 ips: 88.6679 images/s
[03/19 21:49:45] ppdet.engine INFO: Epoch: [279] [320/458] learning_rate: 0.003618 loss_vfl: 0.961440 loss_bbox: 0.441742 loss_dfl: 0.411728 loss: 1.804498 eta: 2:12:37 batch_cost: 0.8987 data_cost: 0.0017 ips: 71.2140 images/s
[03/19 21:50:05] ppdet.engine INFO: Epoch: [279] [340/458] learning_rate: 0.003602 loss_vfl: 0.958634 loss_bbox: 0.437613 loss_dfl: 0.412475 loss: 1.818357 eta: 2:12:20 batch_cost: 0.8971 data_cost: 0.0042 ips: 71.3429 images/s
[03/19 21:50:24] ppdet.engine INFO: Epoch: [279] [360/458] learning_rate: 0.003587 loss_vfl: 0.957114 loss_bbox: 0.438221 loss_dfl: 0.422916 loss: 1.826202 eta: 2:12:03 batch_cost: 0.8575 data_cost: 0.0060 ips: 74.6396 images/s
[03/19 21:50:43] ppdet.engine INFO: Epoch: [279] [380/458] learning_rate: 0.003571 loss_vfl: 1.001426 loss_bbox: 0.464753 loss_dfl: 0.437340 loss: 1.904767 eta: 2:11:46 batch_cost: 0.8469 data_cost: 0.0055 ips: 75.5663 images/s
[03/19 21:51:04] ppdet.engine INFO: Epoch: [279] [400/458] learning_rate: 0.003556 loss_vfl: 0.958268 loss_bbox: 0.441562 loss_dfl: 0.413124 loss: 1.804035 eta: 2:11:29 batch_cost: 0.9366 data_cost: 0.0035 ips: 68.3357 images/s
[03/19 21:51:21] ppdet.engine INFO: Epoch: [279] [420/458] learning_rate: 0.003541 loss_vfl: 0.995465 loss_bbox: 0.435297 loss_dfl: 0.416304 loss: 1.846300 eta: 2:11:12 batch_cost: 0.7394 data_cost: 0.0026 ips: 86.5587 images/s
[03/19 21:51:40] ppdet.engine INFO: Epoch: [279] [440/458] learning_rate: 0.003525 loss_vfl: 0.977463 loss_bbox: 0.421727 loss_dfl: 0.422258 loss: 1.831731 eta: 2:10:54 batch_cost: 0.8652 data_cost: 0.0050 ips: 73.9688 images/s
[03/19 21:51:54] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 21:51:54] ppdet.engine INFO: Eval iter: 0
[03/19 21:52:12] ppdet.engine INFO: Eval iter: 100
[03/19 21:52:20] ppdet.engine INFO: Eval iter: 200
[03/19 21:52:30] ppdet.engine INFO: Eval iter: 300
[03/19 21:52:39] ppdet.engine INFO: Eval iter: 400
[03/19 21:52:48] ppdet.engine INFO: Eval iter: 500
[03/19 21:52:57] ppdet.engine INFO: Eval iter: 600
[03/19 21:53:11] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.88s)
creating index...
index created!
[03/19 21:53:12] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.41s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=78.56s).
Accumulating evaluation results...
DONE (t=15.91s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.235
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.360
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.245
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.064
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.230
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.411
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.236
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.378
 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 ] = 0.121
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.440
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.675
[03/19 21:54:52] ppdet.engine INFO: Total sample number: 4952, averge FPS: 75.64181779004839
[03/19 21:54:52] ppdet.engine INFO: Best test bbox ap is 0.235.
[03/19 21:54:52] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 21:54:53] ppdet.engine INFO: Epoch: [280] [  0/458] learning_rate: 0.003512 loss_vfl: 1.003005 loss_bbox: 0.460650 loss_dfl: 0.436171 loss: 1.921072 eta: 2:10:39 batch_cost: 0.6524 data_cost: 0.0029 ips: 98.0949 images/s
[03/19 21:55:08] ppdet.engine INFO: Epoch: [280] [ 20/458] learning_rate: 0.003496 loss_vfl: 0.943732 loss_bbox: 0.417619 loss_dfl: 0.405617 loss: 1.769165 eta: 2:10:21 batch_cost: 0.6616 data_cost: 0.0570 ips: 96.7328 images/s
[03/19 21:55:27] ppdet.engine INFO: Epoch: [280] [ 40/458] learning_rate: 0.003481 loss_vfl: 0.976797 loss_bbox: 0.448018 loss_dfl: 0.424920 loss: 1.846343 eta: 2:10:04 batch_cost: 0.8759 data_cost: 0.0035 ips: 73.0654 images/s
[03/19 21:55:43] ppdet.engine INFO: Epoch: [280] [ 60/458] learning_rate: 0.003466 loss_vfl: 1.004258 loss_bbox: 0.447390 loss_dfl: 0.433469 loss: 1.886110 eta: 2:09:47 batch_cost: 0.7144 data_cost: 0.0024 ips: 89.5817 images/s
[03/19 21:56:00] ppdet.engine INFO: Epoch: [280] [ 80/458] learning_rate: 0.003451 loss_vfl: 1.014785 loss_bbox: 0.449478 loss_dfl: 0.434042 loss: 1.881197 eta: 2:09:30 batch_cost: 0.7372 data_cost: 0.0026 ips: 86.8112 images/s
[03/19 21:56:16] ppdet.engine INFO: Epoch: [280] [100/458] learning_rate: 0.003436 loss_vfl: 0.951471 loss_bbox: 0.433587 loss_dfl: 0.401798 loss: 1.786744 eta: 2:09:12 batch_cost: 0.7151 data_cost: 0.0087 ips: 89.4935 images/s
[03/19 21:56:36] ppdet.engine INFO: Epoch: [280] [120/458] learning_rate: 0.003421 loss_vfl: 0.926536 loss_bbox: 0.434564 loss_dfl: 0.412774 loss: 1.779688 eta: 2:08:55 batch_cost: 0.9402 data_cost: 0.0019 ips: 68.0693 images/s
[03/19 21:56:58] ppdet.engine INFO: Epoch: [280] [140/458] learning_rate: 0.003406 loss_vfl: 0.959136 loss_bbox: 0.417100 loss_dfl: 0.414046 loss: 1.779149 eta: 2:08:38 batch_cost: 0.9983 data_cost: 0.0030 ips: 64.1121 images/s
[03/19 21:57:16] ppdet.engine INFO: Epoch: [280] [160/458] learning_rate: 0.003390 loss_vfl: 0.919078 loss_bbox: 0.424798 loss_dfl: 0.403652 loss: 1.746270 eta: 2:08:21 batch_cost: 0.8450 data_cost: 0.0010 ips: 75.7397 images/s
[03/19 21:57:36] ppdet.engine INFO: Epoch: [280] [180/458] learning_rate: 0.003375 loss_vfl: 0.966673 loss_bbox: 0.438418 loss_dfl: 0.409164 loss: 1.791919 eta: 2:08:04 batch_cost: 0.8892 data_cost: 0.0021 ips: 71.9724 images/s
[03/19 21:57:59] ppdet.engine INFO: Epoch: [280] [200/458] learning_rate: 0.003361 loss_vfl: 0.996542 loss_bbox: 0.443406 loss_dfl: 0.419382 loss: 1.839935 eta: 2:07:47 batch_cost: 1.0945 data_cost: 0.0019 ips: 58.4765 images/s
[03/19 21:58:18] ppdet.engine INFO: Epoch: [280] [220/458] learning_rate: 0.003346 loss_vfl: 0.945200 loss_bbox: 0.427525 loss_dfl: 0.406819 loss: 1.797822 eta: 2:07:30 batch_cost: 0.8667 data_cost: 0.0006 ips: 73.8422 images/s
[03/19 21:58:39] ppdet.engine INFO: Epoch: [280] [240/458] learning_rate: 0.003331 loss_vfl: 0.985084 loss_bbox: 0.448880 loss_dfl: 0.422536 loss: 1.854977 eta: 2:07:13 batch_cost: 0.9787 data_cost: 0.0010 ips: 65.3937 images/s
[03/19 21:59:02] ppdet.engine INFO: Epoch: [280] [260/458] learning_rate: 0.003316 loss_vfl: 0.979975 loss_bbox: 0.447415 loss_dfl: 0.421858 loss: 1.854471 eta: 2:06:57 batch_cost: 1.0549 data_cost: 0.0036 ips: 60.6696 images/s
[03/19 21:59:20] ppdet.engine INFO: Epoch: [280] [280/458] learning_rate: 0.003301 loss_vfl: 1.047005 loss_bbox: 0.480110 loss_dfl: 0.459338 loss: 1.995749 eta: 2:06:39 batch_cost: 0.8428 data_cost: 0.0036 ips: 75.9411 images/s
[03/19 21:59:39] ppdet.engine INFO: Epoch: [280] [300/458] learning_rate: 0.003286 loss_vfl: 0.939455 loss_bbox: 0.438852 loss_dfl: 0.413904 loss: 1.763585 eta: 2:06:22 batch_cost: 0.8401 data_cost: 0.0025 ips: 76.1819 images/s
[03/19 22:00:00] ppdet.engine INFO: Epoch: [280] [320/458] learning_rate: 0.003271 loss_vfl: 0.939255 loss_bbox: 0.429211 loss_dfl: 0.401509 loss: 1.769162 eta: 2:06:05 batch_cost: 0.9933 data_cost: 0.0018 ips: 64.4308 images/s
[03/19 22:00:19] ppdet.engine INFO: Epoch: [280] [340/458] learning_rate: 0.003257 loss_vfl: 0.994824 loss_bbox: 0.449794 loss_dfl: 0.438085 loss: 1.890761 eta: 2:05:48 batch_cost: 0.8059 data_cost: 0.0023 ips: 79.4102 images/s
[03/19 22:00:40] ppdet.engine INFO: Epoch: [280] [360/458] learning_rate: 0.003242 loss_vfl: 0.972346 loss_bbox: 0.443080 loss_dfl: 0.432804 loss: 1.837367 eta: 2:05:31 batch_cost: 1.0087 data_cost: 0.0009 ips: 63.4464 images/s
[03/19 22:01:01] ppdet.engine INFO: Epoch: [280] [380/458] learning_rate: 0.003227 loss_vfl: 0.950011 loss_bbox: 0.441377 loss_dfl: 0.410607 loss: 1.822265 eta: 2:05:14 batch_cost: 0.9294 data_cost: 0.0013 ips: 68.8620 images/s
[03/19 22:01:21] ppdet.engine INFO: Epoch: [280] [400/458] learning_rate: 0.003213 loss_vfl: 0.978824 loss_bbox: 0.443773 loss_dfl: 0.409513 loss: 1.814934 eta: 2:04:57 batch_cost: 0.9438 data_cost: 0.0015 ips: 67.8078 images/s
[03/19 22:01:40] ppdet.engine INFO: Epoch: [280] [420/458] learning_rate: 0.003198 loss_vfl: 0.947888 loss_bbox: 0.428320 loss_dfl: 0.406963 loss: 1.782052 eta: 2:04:40 batch_cost: 0.8248 data_cost: 0.0108 ips: 77.5919 images/s
[03/19 22:02:02] ppdet.engine INFO: Epoch: [280] [440/458] learning_rate: 0.003183 loss_vfl: 0.977687 loss_bbox: 0.474518 loss_dfl: 0.422881 loss: 1.837807 eta: 2:04:23 batch_cost: 1.0006 data_cost: 0.0040 ips: 63.9637 images/s
[03/19 22:02:23] ppdet.engine INFO: Epoch: [281] [  0/458] learning_rate: 0.003170 loss_vfl: 0.969516 loss_bbox: 0.447252 loss_dfl: 0.420602 loss: 1.841110 eta: 2:04:08 batch_cost: 1.1104 data_cost: 0.4164 ips: 57.6372 images/s
[03/19 22:02:44] ppdet.engine INFO: Epoch: [281] [ 20/458] learning_rate: 0.003156 loss_vfl: 0.977425 loss_bbox: 0.448186 loss_dfl: 0.434787 loss: 1.878304 eta: 2:03:51 batch_cost: 0.8896 data_cost: 0.0607 ips: 71.9406 images/s
[03/19 22:02:59] ppdet.engine INFO: Epoch: [281] [ 40/458] learning_rate: 0.003141 loss_vfl: 0.936882 loss_bbox: 0.453374 loss_dfl: 0.417090 loss: 1.808801 eta: 2:03:34 batch_cost: 0.6680 data_cost: 0.1639 ips: 95.8023 images/s
[03/19 22:03:16] ppdet.engine INFO: Epoch: [281] [ 60/458] learning_rate: 0.003127 loss_vfl: 1.013763 loss_bbox: 0.464061 loss_dfl: 0.440467 loss: 1.902101 eta: 2:03:16 batch_cost: 0.7453 data_cost: 0.2373 ips: 85.8768 images/s
[03/19 22:03:32] ppdet.engine INFO: Epoch: [281] [ 80/458] learning_rate: 0.003113 loss_vfl: 0.983227 loss_bbox: 0.427498 loss_dfl: 0.415171 loss: 1.827908 eta: 2:02:59 batch_cost: 0.6566 data_cost: 0.1736 ips: 97.4717 images/s
[03/19 22:03:54] ppdet.engine INFO: Epoch: [281] [100/458] learning_rate: 0.003098 loss_vfl: 0.966953 loss_bbox: 0.453676 loss_dfl: 0.422697 loss: 1.848328 eta: 2:02:42 batch_cost: 0.9177 data_cost: 0.2965 ips: 69.7432 images/s
[03/19 22:04:14] ppdet.engine INFO: Epoch: [281] [120/458] learning_rate: 0.003084 loss_vfl: 0.955421 loss_bbox: 0.435155 loss_dfl: 0.416448 loss: 1.820216 eta: 2:02:25 batch_cost: 0.8540 data_cost: 0.1620 ips: 74.9372 images/s
[03/19 22:04:34] ppdet.engine INFO: Epoch: [281] [140/458] learning_rate: 0.003070 loss_vfl: 0.925946 loss_bbox: 0.409180 loss_dfl: 0.387648 loss: 1.711855 eta: 2:02:08 batch_cost: 0.8282 data_cost: 0.1389 ips: 77.2736 images/s
[03/19 22:04:57] ppdet.engine INFO: Epoch: [281] [160/458] learning_rate: 0.003055 loss_vfl: 0.985165 loss_bbox: 0.451744 loss_dfl: 0.427769 loss: 1.886331 eta: 2:01:51 batch_cost: 1.0278 data_cost: 0.2927 ips: 62.2669 images/s
[03/19 22:05:17] ppdet.engine INFO: Epoch: [281] [180/458] learning_rate: 0.003041 loss_vfl: 0.977282 loss_bbox: 0.431842 loss_dfl: 0.414208 loss: 1.819698 eta: 2:01:34 batch_cost: 0.8709 data_cost: 0.2977 ips: 73.4867 images/s
[03/19 22:05:37] ppdet.engine INFO: Epoch: [281] [200/458] learning_rate: 0.003027 loss_vfl: 0.945957 loss_bbox: 0.435030 loss_dfl: 0.406769 loss: 1.789227 eta: 2:01:16 batch_cost: 0.8404 data_cost: 0.1777 ips: 76.1510 images/s
[03/19 22:05:58] ppdet.engine INFO: Epoch: [281] [220/458] learning_rate: 0.003013 loss_vfl: 0.990727 loss_bbox: 0.456896 loss_dfl: 0.432284 loss: 1.879146 eta: 2:00:59 batch_cost: 0.9650 data_cost: 0.3660 ips: 66.3201 images/s
[03/19 22:06:17] ppdet.engine INFO: Epoch: [281] [240/458] learning_rate: 0.002998 loss_vfl: 0.960829 loss_bbox: 0.438256 loss_dfl: 0.412954 loss: 1.795322 eta: 2:00:42 batch_cost: 0.8306 data_cost: 0.2245 ips: 77.0518 images/s
[03/19 22:06:40] ppdet.engine INFO: Epoch: [281] [260/458] learning_rate: 0.002984 loss_vfl: 0.920579 loss_bbox: 0.440290 loss_dfl: 0.414998 loss: 1.754804 eta: 2:00:25 batch_cost: 0.9761 data_cost: 0.3062 ips: 65.5651 images/s
[03/19 22:06:58] ppdet.engine INFO: Epoch: [281] [280/458] learning_rate: 0.002970 loss_vfl: 0.994817 loss_bbox: 0.434251 loss_dfl: 0.417162 loss: 1.860721 eta: 2:00:08 batch_cost: 0.8002 data_cost: 0.0579 ips: 79.9751 images/s
[03/19 22:07:19] ppdet.engine INFO: Epoch: [281] [300/458] learning_rate: 0.002956 loss_vfl: 0.944132 loss_bbox: 0.437965 loss_dfl: 0.403493 loss: 1.794946 eta: 1:59:51 batch_cost: 0.8654 data_cost: 0.0952 ips: 73.9523 images/s
[03/19 22:07:41] ppdet.engine INFO: Epoch: [281] [320/458] learning_rate: 0.002942 loss_vfl: 0.992545 loss_bbox: 0.446275 loss_dfl: 0.425323 loss: 1.869107 eta: 1:59:34 batch_cost: 0.9714 data_cost: 0.2173 ips: 65.8838 images/s
[03/19 22:07:58] ppdet.engine INFO: Epoch: [281] [340/458] learning_rate: 0.002928 loss_vfl: 1.027391 loss_bbox: 0.443792 loss_dfl: 0.441879 loss: 1.934973 eta: 1:59:17 batch_cost: 0.7099 data_cost: 0.1045 ips: 90.1527 images/s
[03/19 22:08:19] ppdet.engine INFO: Epoch: [281] [360/458] learning_rate: 0.002914 loss_vfl: 0.942579 loss_bbox: 0.433261 loss_dfl: 0.416056 loss: 1.807687 eta: 1:59:00 batch_cost: 0.9726 data_cost: 0.3313 ips: 65.8059 images/s
[03/19 22:08:39] ppdet.engine INFO: Epoch: [281] [380/458] learning_rate: 0.002900 loss_vfl: 0.940013 loss_bbox: 0.431316 loss_dfl: 0.410498 loss: 1.762588 eta: 1:58:43 batch_cost: 0.8646 data_cost: 0.0281 ips: 74.0242 images/s
[03/19 22:08:59] ppdet.engine INFO: Epoch: [281] [400/458] learning_rate: 0.002886 loss_vfl: 0.938425 loss_bbox: 0.441472 loss_dfl: 0.401902 loss: 1.782687 eta: 1:58:26 batch_cost: 0.8748 data_cost: 0.0014 ips: 73.1636 images/s
[03/19 22:09:18] ppdet.engine INFO: Epoch: [281] [420/458] learning_rate: 0.002873 loss_vfl: 0.985628 loss_bbox: 0.449590 loss_dfl: 0.423651 loss: 1.844060 eta: 1:58:08 batch_cost: 0.8267 data_cost: 0.1030 ips: 77.4180 images/s
[03/19 22:09:37] ppdet.engine INFO: Epoch: [281] [440/458] learning_rate: 0.002859 loss_vfl: 0.986023 loss_bbox: 0.437037 loss_dfl: 0.419420 loss: 1.839649 eta: 1:57:51 batch_cost: 0.8278 data_cost: 0.0356 ips: 77.3162 images/s
[03/19 22:09:55] ppdet.engine INFO: Epoch: [282] [  0/458] learning_rate: 0.002846 loss_vfl: 0.971958 loss_bbox: 0.452540 loss_dfl: 0.432178 loss: 1.876865 eta: 1:57:36 batch_cost: 0.8623 data_cost: 0.2369 ips: 74.2177 images/s
[03/19 22:10:09] ppdet.engine INFO: Epoch: [282] [ 20/458] learning_rate: 0.002833 loss_vfl: 0.934225 loss_bbox: 0.424677 loss_dfl: 0.400781 loss: 1.756638 eta: 1:57:18 batch_cost: 0.6017 data_cost: 0.0498 ips: 106.3642 images/s
[03/19 22:10:27] ppdet.engine INFO: Epoch: [282] [ 40/458] learning_rate: 0.002819 loss_vfl: 0.967995 loss_bbox: 0.431565 loss_dfl: 0.414220 loss: 1.828698 eta: 1:57:01 batch_cost: 0.8085 data_cost: 0.0049 ips: 79.1624 images/s
[03/19 22:10:46] ppdet.engine INFO: Epoch: [282] [ 60/458] learning_rate: 0.002805 loss_vfl: 0.987572 loss_bbox: 0.446229 loss_dfl: 0.425178 loss: 1.854168 eta: 1:56:44 batch_cost: 0.8249 data_cost: 0.0710 ips: 77.5881 images/s
[03/19 22:11:09] ppdet.engine INFO: Epoch: [282] [ 80/458] learning_rate: 0.002792 loss_vfl: 0.975603 loss_bbox: 0.416574 loss_dfl: 0.415233 loss: 1.815432 eta: 1:56:27 batch_cost: 1.0265 data_cost: 0.0491 ips: 62.3471 images/s
[03/19 22:11:27] ppdet.engine INFO: Epoch: [282] [100/458] learning_rate: 0.002778 loss_vfl: 0.986505 loss_bbox: 0.448478 loss_dfl: 0.428026 loss: 1.862294 eta: 1:56:10 batch_cost: 0.8347 data_cost: 0.0038 ips: 76.6778 images/s
[03/19 22:11:48] ppdet.engine INFO: Epoch: [282] [120/458] learning_rate: 0.002764 loss_vfl: 0.966181 loss_bbox: 0.449820 loss_dfl: 0.419023 loss: 1.833844 eta: 1:55:53 batch_cost: 0.9492 data_cost: 0.0017 ips: 67.4287 images/s
[03/19 22:12:07] ppdet.engine INFO: Epoch: [282] [140/458] learning_rate: 0.002751 loss_vfl: 0.972993 loss_bbox: 0.440040 loss_dfl: 0.424390 loss: 1.844800 eta: 1:55:36 batch_cost: 0.8694 data_cost: 0.0030 ips: 73.6174 images/s
[03/19 22:12:28] ppdet.engine INFO: Epoch: [282] [160/458] learning_rate: 0.002737 loss_vfl: 1.003334 loss_bbox: 0.468662 loss_dfl: 0.431067 loss: 1.896725 eta: 1:55:19 batch_cost: 0.9247 data_cost: 0.0022 ips: 69.2103 images/s
[03/19 22:12:47] ppdet.engine INFO: Epoch: [282] [180/458] learning_rate: 0.002724 loss_vfl: 0.991392 loss_bbox: 0.443919 loss_dfl: 0.418099 loss: 1.846836 eta: 1:55:02 batch_cost: 0.8734 data_cost: 0.0066 ips: 73.2783 images/s
[03/19 22:13:06] ppdet.engine INFO: Epoch: [282] [200/458] learning_rate: 0.002710 loss_vfl: 1.009683 loss_bbox: 0.448354 loss_dfl: 0.434923 loss: 1.901627 eta: 1:54:45 batch_cost: 0.8346 data_cost: 0.0041 ips: 76.6829 images/s
[03/19 22:13:28] ppdet.engine INFO: Epoch: [282] [220/458] learning_rate: 0.002697 loss_vfl: 0.966152 loss_bbox: 0.431116 loss_dfl: 0.416426 loss: 1.818268 eta: 1:54:28 batch_cost: 0.9774 data_cost: 0.0051 ips: 65.4816 images/s
[03/19 22:13:45] ppdet.engine INFO: Epoch: [282] [240/458] learning_rate: 0.002684 loss_vfl: 0.954798 loss_bbox: 0.427369 loss_dfl: 0.410830 loss: 1.802068 eta: 1:54:11 batch_cost: 0.7695 data_cost: 0.0030 ips: 83.1686 images/s
[03/19 22:14:06] ppdet.engine INFO: Epoch: [282] [260/458] learning_rate: 0.002670 loss_vfl: 0.981626 loss_bbox: 0.440003 loss_dfl: 0.418214 loss: 1.849468 eta: 1:53:54 batch_cost: 0.9666 data_cost: 0.0024 ips: 66.2117 images/s
[03/19 22:14:25] ppdet.engine INFO: Epoch: [282] [280/458] learning_rate: 0.002657 loss_vfl: 0.941622 loss_bbox: 0.408277 loss_dfl: 0.397061 loss: 1.744481 eta: 1:53:36 batch_cost: 0.8040 data_cost: 0.0059 ips: 79.6065 images/s
[03/19 22:14:45] ppdet.engine INFO: Epoch: [282] [300/458] learning_rate: 0.002644 loss_vfl: 1.002247 loss_bbox: 0.447760 loss_dfl: 0.419626 loss: 1.856737 eta: 1:53:19 batch_cost: 0.9368 data_cost: 0.0016 ips: 68.3190 images/s
[03/19 22:15:01] ppdet.engine INFO: Epoch: [282] [320/458] learning_rate: 0.002630 loss_vfl: 0.931728 loss_bbox: 0.428405 loss_dfl: 0.401162 loss: 1.751268 eta: 1:53:02 batch_cost: 0.7087 data_cost: 0.0032 ips: 90.3029 images/s
[03/19 22:15:22] ppdet.engine INFO: Epoch: [282] [340/458] learning_rate: 0.002617 loss_vfl: 0.932510 loss_bbox: 0.401562 loss_dfl: 0.407057 loss: 1.781205 eta: 1:52:45 batch_cost: 0.9766 data_cost: 0.0009 ips: 65.5349 images/s
[03/19 22:15:42] ppdet.engine INFO: Epoch: [282] [360/458] learning_rate: 0.002604 loss_vfl: 0.967000 loss_bbox: 0.458920 loss_dfl: 0.414819 loss: 1.854423 eta: 1:52:28 batch_cost: 0.8923 data_cost: 0.0038 ips: 71.7262 images/s
[03/19 22:16:03] ppdet.engine INFO: Epoch: [282] [380/458] learning_rate: 0.002591 loss_vfl: 1.004708 loss_bbox: 0.470574 loss_dfl: 0.441156 loss: 1.888317 eta: 1:52:11 batch_cost: 0.9143 data_cost: 0.0057 ips: 70.0022 images/s
[03/19 22:16:26] ppdet.engine INFO: Epoch: [282] [400/458] learning_rate: 0.002578 loss_vfl: 0.933004 loss_bbox: 0.433085 loss_dfl: 0.418392 loss: 1.783245 eta: 1:51:54 batch_cost: 1.0779 data_cost: 0.0042 ips: 59.3729 images/s
[03/19 22:16:43] ppdet.engine INFO: Epoch: [282] [420/458] learning_rate: 0.002565 loss_vfl: 0.936364 loss_bbox: 0.428277 loss_dfl: 0.416524 loss: 1.796518 eta: 1:51:37 batch_cost: 0.7476 data_cost: 0.0037 ips: 85.6066 images/s
[03/19 22:17:00] ppdet.engine INFO: Epoch: [282] [440/458] learning_rate: 0.002551 loss_vfl: 1.009613 loss_bbox: 0.472054 loss_dfl: 0.431631 loss: 1.905189 eta: 1:51:20 batch_cost: 0.7514 data_cost: 0.0031 ips: 85.1742 images/s
[03/19 22:17:18] ppdet.engine INFO: Epoch: [283] [  0/458] learning_rate: 0.002540 loss_vfl: 0.986719 loss_bbox: 0.453079 loss_dfl: 0.424747 loss: 1.867597 eta: 1:51:04 batch_cost: 0.8530 data_cost: 0.2987 ips: 75.0293 images/s
[03/19 22:17:34] ppdet.engine INFO: Epoch: [283] [ 20/458] learning_rate: 0.002527 loss_vfl: 0.941880 loss_bbox: 0.424711 loss_dfl: 0.419433 loss: 1.754117 eta: 1:50:47 batch_cost: 0.6953 data_cost: 0.1309 ips: 92.0516 images/s
[03/19 22:17:52] ppdet.engine INFO: Epoch: [283] [ 40/458] learning_rate: 0.002514 loss_vfl: 0.968171 loss_bbox: 0.449464 loss_dfl: 0.416904 loss: 1.824737 eta: 1:50:30 batch_cost: 0.7935 data_cost: 0.0775 ips: 80.6587 images/s
[03/19 22:18:10] ppdet.engine INFO: Epoch: [283] [ 60/458] learning_rate: 0.002501 loss_vfl: 0.965696 loss_bbox: 0.431798 loss_dfl: 0.422453 loss: 1.826998 eta: 1:50:13 batch_cost: 0.8126 data_cost: 0.0133 ips: 78.7567 images/s
[03/19 22:18:31] ppdet.engine INFO: Epoch: [283] [ 80/458] learning_rate: 0.002488 loss_vfl: 0.933470 loss_bbox: 0.434797 loss_dfl: 0.412703 loss: 1.806118 eta: 1:49:56 batch_cost: 0.9622 data_cost: 0.0027 ips: 66.5168 images/s
[03/19 22:18:51] ppdet.engine INFO: Epoch: [283] [100/458] learning_rate: 0.002475 loss_vfl: 0.933703 loss_bbox: 0.452131 loss_dfl: 0.423722 loss: 1.801965 eta: 1:49:38 batch_cost: 0.8712 data_cost: 0.0111 ips: 73.4581 images/s
[03/19 22:19:10] ppdet.engine INFO: Epoch: [283] [120/458] learning_rate: 0.002462 loss_vfl: 0.969706 loss_bbox: 0.463347 loss_dfl: 0.418635 loss: 1.861532 eta: 1:49:21 batch_cost: 0.8112 data_cost: 0.0015 ips: 78.8937 images/s
[03/19 22:19:30] ppdet.engine INFO: Epoch: [283] [140/458] learning_rate: 0.002449 loss_vfl: 0.948096 loss_bbox: 0.431429 loss_dfl: 0.410385 loss: 1.779211 eta: 1:49:04 batch_cost: 0.8967 data_cost: 0.0080 ips: 71.3744 images/s
[03/19 22:19:51] ppdet.engine INFO: Epoch: [283] [160/458] learning_rate: 0.002437 loss_vfl: 0.979201 loss_bbox: 0.463345 loss_dfl: 0.435206 loss: 1.872836 eta: 1:48:47 batch_cost: 0.9573 data_cost: 0.0008 ips: 66.8560 images/s
[03/19 22:20:09] ppdet.engine INFO: Epoch: [283] [180/458] learning_rate: 0.002424 loss_vfl: 0.963208 loss_bbox: 0.455500 loss_dfl: 0.431664 loss: 1.848128 eta: 1:48:30 batch_cost: 0.8404 data_cost: 0.0028 ips: 76.1566 images/s
[03/19 22:20:30] ppdet.engine INFO: Epoch: [283] [200/458] learning_rate: 0.002411 loss_vfl: 1.007294 loss_bbox: 0.438548 loss_dfl: 0.421654 loss: 1.861618 eta: 1:48:13 batch_cost: 0.9496 data_cost: 0.0015 ips: 67.3973 images/s
[03/19 22:20:48] ppdet.engine INFO: Epoch: [283] [220/458] learning_rate: 0.002399 loss_vfl: 0.962874 loss_bbox: 0.427981 loss_dfl: 0.410921 loss: 1.793116 eta: 1:47:56 batch_cost: 0.7885 data_cost: 0.0068 ips: 81.1704 images/s
[03/19 22:21:08] ppdet.engine INFO: Epoch: [283] [240/458] learning_rate: 0.002386 loss_vfl: 0.940272 loss_bbox: 0.424535 loss_dfl: 0.409113 loss: 1.789784 eta: 1:47:39 batch_cost: 0.8914 data_cost: 0.0025 ips: 71.7975 images/s
[03/19 22:21:27] ppdet.engine INFO: Epoch: [283] [260/458] learning_rate: 0.002373 loss_vfl: 0.973947 loss_bbox: 0.451953 loss_dfl: 0.430530 loss: 1.870211 eta: 1:47:22 batch_cost: 0.8489 data_cost: 0.0009 ips: 75.3886 images/s
[03/19 22:21:47] ppdet.engine INFO: Epoch: [283] [280/458] learning_rate: 0.002361 loss_vfl: 0.964246 loss_bbox: 0.441508 loss_dfl: 0.416461 loss: 1.790942 eta: 1:47:05 batch_cost: 0.9087 data_cost: 0.0012 ips: 70.4282 images/s
[03/19 22:22:06] ppdet.engine INFO: Epoch: [283] [300/458] learning_rate: 0.002348 loss_vfl: 1.001919 loss_bbox: 0.447590 loss_dfl: 0.440611 loss: 1.916236 eta: 1:46:47 batch_cost: 0.8593 data_cost: 0.0030 ips: 74.4757 images/s
[03/19 22:22:28] ppdet.engine INFO: Epoch: [283] [320/458] learning_rate: 0.002336 loss_vfl: 0.980040 loss_bbox: 0.423919 loss_dfl: 0.416748 loss: 1.821233 eta: 1:46:30 batch_cost: 0.9942 data_cost: 0.0021 ips: 64.3723 images/s
[03/19 22:22:48] ppdet.engine INFO: Epoch: [283] [340/458] learning_rate: 0.002323 loss_vfl: 1.040140 loss_bbox: 0.474847 loss_dfl: 0.450399 loss: 1.953974 eta: 1:46:13 batch_cost: 0.9329 data_cost: 0.0035 ips: 68.6037 images/s
[03/19 22:23:09] ppdet.engine INFO: Epoch: [283] [360/458] learning_rate: 0.002311 loss_vfl: 0.978491 loss_bbox: 0.445632 loss_dfl: 0.425867 loss: 1.837254 eta: 1:45:56 batch_cost: 0.9376 data_cost: 0.0097 ips: 68.2591 images/s
[03/19 22:23:29] ppdet.engine INFO: Epoch: [283] [380/458] learning_rate: 0.002298 loss_vfl: 1.015049 loss_bbox: 0.460963 loss_dfl: 0.437993 loss: 1.903112 eta: 1:45:39 batch_cost: 0.9168 data_cost: 0.0082 ips: 69.8087 images/s
[03/19 22:23:49] ppdet.engine INFO: Epoch: [283] [400/458] learning_rate: 0.002286 loss_vfl: 0.992617 loss_bbox: 0.446184 loss_dfl: 0.421124 loss: 1.849047 eta: 1:45:22 batch_cost: 0.8966 data_cost: 0.0043 ips: 71.3795 images/s
[03/19 22:24:09] ppdet.engine INFO: Epoch: [283] [420/458] learning_rate: 0.002274 loss_vfl: 1.019027 loss_bbox: 0.461463 loss_dfl: 0.423700 loss: 1.894187 eta: 1:45:05 batch_cost: 0.8973 data_cost: 0.0022 ips: 71.3278 images/s
[03/19 22:24:26] ppdet.engine INFO: Epoch: [283] [440/458] learning_rate: 0.002261 loss_vfl: 0.957838 loss_bbox: 0.409970 loss_dfl: 0.396257 loss: 1.767277 eta: 1:44:48 batch_cost: 0.7871 data_cost: 0.0086 ips: 81.3095 images/s
[03/19 22:24:42] ppdet.engine INFO: Epoch: [284] [  0/458] learning_rate: 0.002250 loss_vfl: 0.985129 loss_bbox: 0.433983 loss_dfl: 0.424263 loss: 1.851143 eta: 1:44:33 batch_cost: 0.7273 data_cost: 0.2796 ips: 87.9908 images/s
[03/19 22:24:57] ppdet.engine INFO: Epoch: [284] [ 20/458] learning_rate: 0.002238 loss_vfl: 1.015861 loss_bbox: 0.473614 loss_dfl: 0.441970 loss: 1.941038 eta: 1:44:15 batch_cost: 0.6646 data_cost: 0.1563 ips: 96.3055 images/s
[03/19 22:25:14] ppdet.engine INFO: Epoch: [284] [ 40/458] learning_rate: 0.002226 loss_vfl: 0.917358 loss_bbox: 0.415489 loss_dfl: 0.394443 loss: 1.721900 eta: 1:43:58 batch_cost: 0.7771 data_cost: 0.0021 ips: 82.3622 images/s
[03/19 22:25:35] ppdet.engine INFO: Epoch: [284] [ 60/458] learning_rate: 0.002214 loss_vfl: 1.048150 loss_bbox: 0.472314 loss_dfl: 0.450510 loss: 1.988345 eta: 1:43:41 batch_cost: 0.9501 data_cost: 0.0008 ips: 67.3619 images/s
[03/19 22:25:56] ppdet.engine INFO: Epoch: [284] [ 80/458] learning_rate: 0.002202 loss_vfl: 0.967485 loss_bbox: 0.430798 loss_dfl: 0.408365 loss: 1.809104 eta: 1:43:24 batch_cost: 0.9570 data_cost: 0.0029 ips: 66.8758 images/s
[03/19 22:26:17] ppdet.engine INFO: Epoch: [284] [100/458] learning_rate: 0.002190 loss_vfl: 0.979832 loss_bbox: 0.447350 loss_dfl: 0.421083 loss: 1.838435 eta: 1:43:07 batch_cost: 0.8765 data_cost: 0.0022 ips: 73.0197 images/s
[03/19 22:26:37] ppdet.engine INFO: Epoch: [284] [120/458] learning_rate: 0.002177 loss_vfl: 0.959955 loss_bbox: 0.418342 loss_dfl: 0.399075 loss: 1.778964 eta: 1:42:50 batch_cost: 0.8912 data_cost: 0.0022 ips: 71.8097 images/s
[03/19 22:26:56] ppdet.engine INFO: Epoch: [284] [140/458] learning_rate: 0.002165 loss_vfl: 0.952543 loss_bbox: 0.451945 loss_dfl: 0.415980 loss: 1.826403 eta: 1:42:33 batch_cost: 0.8617 data_cost: 0.0021 ips: 74.2758 images/s
[03/19 22:27:15] ppdet.engine INFO: Epoch: [284] [160/458] learning_rate: 0.002153 loss_vfl: 0.945680 loss_bbox: 0.434530 loss_dfl: 0.397217 loss: 1.776062 eta: 1:42:16 batch_cost: 0.8468 data_cost: 0.0036 ips: 75.5808 images/s
[03/19 22:27:35] ppdet.engine INFO: Epoch: [284] [180/458] learning_rate: 0.002141 loss_vfl: 0.959743 loss_bbox: 0.446322 loss_dfl: 0.413475 loss: 1.797814 eta: 1:41:58 batch_cost: 0.9150 data_cost: 0.0053 ips: 69.9424 images/s
[03/19 22:27:55] ppdet.engine INFO: Epoch: [284] [200/458] learning_rate: 0.002130 loss_vfl: 1.002506 loss_bbox: 0.452736 loss_dfl: 0.435072 loss: 1.895893 eta: 1:41:41 batch_cost: 0.9285 data_cost: 0.0061 ips: 68.9254 images/s
[03/19 22:28:15] ppdet.engine INFO: Epoch: [284] [220/458] learning_rate: 0.002118 loss_vfl: 0.996394 loss_bbox: 0.456032 loss_dfl: 0.433289 loss: 1.902864 eta: 1:41:24 batch_cost: 0.8755 data_cost: 0.0076 ips: 73.1001 images/s
[03/19 22:28:33] ppdet.engine INFO: Epoch: [284] [240/458] learning_rate: 0.002106 loss_vfl: 0.988771 loss_bbox: 0.441510 loss_dfl: 0.435715 loss: 1.863009 eta: 1:41:07 batch_cost: 0.8183 data_cost: 0.0057 ips: 78.2092 images/s
[03/19 22:28:54] ppdet.engine INFO: Epoch: [284] [260/458] learning_rate: 0.002094 loss_vfl: 0.942906 loss_bbox: 0.427935 loss_dfl: 0.414191 loss: 1.796744 eta: 1:40:50 batch_cost: 0.9277 data_cost: 0.0003 ips: 68.9908 images/s
[03/19 22:29:14] ppdet.engine INFO: Epoch: [284] [280/458] learning_rate: 0.002082 loss_vfl: 0.955236 loss_bbox: 0.436618 loss_dfl: 0.411288 loss: 1.823622 eta: 1:40:33 batch_cost: 0.9024 data_cost: 0.0023 ips: 70.9203 images/s
[03/19 22:29:35] ppdet.engine INFO: Epoch: [284] [300/458] learning_rate: 0.002070 loss_vfl: 0.982524 loss_bbox: 0.465658 loss_dfl: 0.426230 loss: 1.863890 eta: 1:40:16 batch_cost: 0.9589 data_cost: 0.0023 ips: 66.7411 images/s
[03/19 22:29:55] ppdet.engine INFO: Epoch: [284] [320/458] learning_rate: 0.002059 loss_vfl: 0.956151 loss_bbox: 0.431187 loss_dfl: 0.409033 loss: 1.787978 eta: 1:39:59 batch_cost: 0.9167 data_cost: 0.0034 ips: 69.8133 images/s
[03/19 22:30:16] ppdet.engine INFO: Epoch: [284] [340/458] learning_rate: 0.002047 loss_vfl: 0.958571 loss_bbox: 0.430272 loss_dfl: 0.421206 loss: 1.823340 eta: 1:39:42 batch_cost: 0.9681 data_cost: 0.0025 ips: 66.1060 images/s
[03/19 22:30:34] ppdet.engine INFO: Epoch: [284] [360/458] learning_rate: 0.002035 loss_vfl: 0.991509 loss_bbox: 0.441970 loss_dfl: 0.424801 loss: 1.868010 eta: 1:39:25 batch_cost: 0.8191 data_cost: 0.0082 ips: 78.1359 images/s
[03/19 22:30:55] ppdet.engine INFO: Epoch: [284] [380/458] learning_rate: 0.002024 loss_vfl: 0.965782 loss_bbox: 0.435802 loss_dfl: 0.416889 loss: 1.807968 eta: 1:39:08 batch_cost: 0.8960 data_cost: 0.0095 ips: 71.4276 images/s
[03/19 22:31:14] ppdet.engine INFO: Epoch: [284] [400/458] learning_rate: 0.002012 loss_vfl: 0.933899 loss_bbox: 0.429609 loss_dfl: 0.408327 loss: 1.777276 eta: 1:38:51 batch_cost: 0.8902 data_cost: 0.0035 ips: 71.8951 images/s
[03/19 22:31:31] ppdet.engine INFO: Epoch: [284] [420/458] learning_rate: 0.002000 loss_vfl: 0.979672 loss_bbox: 0.445987 loss_dfl: 0.414092 loss: 1.831810 eta: 1:38:33 batch_cost: 0.7400 data_cost: 0.0068 ips: 86.4922 images/s
[03/19 22:31:49] ppdet.engine INFO: Epoch: [284] [440/458] learning_rate: 0.001989 loss_vfl: 0.975944 loss_bbox: 0.469414 loss_dfl: 0.430011 loss: 1.891097 eta: 1:38:16 batch_cost: 0.7795 data_cost: 0.0011 ips: 82.0990 images/s
[03/19 22:32:08] ppdet.engine INFO: Epoch: [285] [  0/458] learning_rate: 0.001978 loss_vfl: 0.983909 loss_bbox: 0.439600 loss_dfl: 0.425255 loss: 1.858950 eta: 1:38:01 batch_cost: 0.8954 data_cost: 0.2062 ips: 71.4746 images/s
[03/19 22:32:21] ppdet.engine INFO: Epoch: [285] [ 20/458] learning_rate: 0.001967 loss_vfl: 0.986285 loss_bbox: 0.460259 loss_dfl: 0.431895 loss: 1.882269 eta: 1:37:43 batch_cost: 0.5619 data_cost: 0.0019 ips: 113.8911 images/s
[03/19 22:32:42] ppdet.engine INFO: Epoch: [285] [ 40/458] learning_rate: 0.001956 loss_vfl: 0.967650 loss_bbox: 0.451762 loss_dfl: 0.419512 loss: 1.856534 eta: 1:37:26 batch_cost: 0.9449 data_cost: 0.0031 ips: 67.7306 images/s
[03/19 22:33:02] ppdet.engine INFO: Epoch: [285] [ 60/458] learning_rate: 0.001944 loss_vfl: 0.925463 loss_bbox: 0.419731 loss_dfl: 0.416491 loss: 1.764412 eta: 1:37:09 batch_cost: 0.9250 data_cost: 0.0035 ips: 69.1887 images/s
[03/19 22:33:23] ppdet.engine INFO: Epoch: [285] [ 80/458] learning_rate: 0.001933 loss_vfl: 0.962930 loss_bbox: 0.444331 loss_dfl: 0.419485 loss: 1.838835 eta: 1:36:52 batch_cost: 0.9839 data_cost: 0.0022 ips: 65.0458 images/s
[03/19 22:33:42] ppdet.engine INFO: Epoch: [285] [100/458] learning_rate: 0.001921 loss_vfl: 0.982810 loss_bbox: 0.465694 loss_dfl: 0.421832 loss: 1.864607 eta: 1:36:35 batch_cost: 0.8593 data_cost: 0.0040 ips: 74.4780 images/s
[03/19 22:34:02] ppdet.engine INFO: Epoch: [285] [120/458] learning_rate: 0.001910 loss_vfl: 0.998596 loss_bbox: 0.454279 loss_dfl: 0.422932 loss: 1.881049 eta: 1:36:18 batch_cost: 0.8968 data_cost: 0.0035 ips: 71.3687 images/s
[03/19 22:34:22] ppdet.engine INFO: Epoch: [285] [140/458] learning_rate: 0.001899 loss_vfl: 0.950199 loss_bbox: 0.418468 loss_dfl: 0.410289 loss: 1.788809 eta: 1:36:01 batch_cost: 0.9027 data_cost: 0.0003 ips: 70.9013 images/s
[03/19 22:34:41] ppdet.engine INFO: Epoch: [285] [160/458] learning_rate: 0.001888 loss_vfl: 0.991586 loss_bbox: 0.454994 loss_dfl: 0.427995 loss: 1.903245 eta: 1:35:44 batch_cost: 0.8352 data_cost: 0.0024 ips: 76.6264 images/s
[03/19 22:35:03] ppdet.engine INFO: Epoch: [285] [180/458] learning_rate: 0.001876 loss_vfl: 0.989672 loss_bbox: 0.440356 loss_dfl: 0.424525 loss: 1.847481 eta: 1:35:27 batch_cost: 1.0082 data_cost: 0.0003 ips: 63.4794 images/s
[03/19 22:35:21] ppdet.engine INFO: Epoch: [285] [200/458] learning_rate: 0.001865 loss_vfl: 0.991015 loss_bbox: 0.448412 loss_dfl: 0.425572 loss: 1.872095 eta: 1:35:10 batch_cost: 0.8196 data_cost: 0.0030 ips: 78.0880 images/s
[03/19 22:35:42] ppdet.engine INFO: Epoch: [285] [220/458] learning_rate: 0.001854 loss_vfl: 0.949884 loss_bbox: 0.443034 loss_dfl: 0.419116 loss: 1.847843 eta: 1:34:53 batch_cost: 0.9493 data_cost: 0.0009 ips: 67.4200 images/s
[03/19 22:36:02] ppdet.engine INFO: Epoch: [285] [240/458] learning_rate: 0.001843 loss_vfl: 0.941985 loss_bbox: 0.436180 loss_dfl: 0.413928 loss: 1.778330 eta: 1:34:36 batch_cost: 0.9186 data_cost: 0.0011 ips: 69.6742 images/s
[03/19 22:36:21] ppdet.engine INFO: Epoch: [285] [260/458] learning_rate: 0.001832 loss_vfl: 0.929140 loss_bbox: 0.416422 loss_dfl: 0.400054 loss: 1.759524 eta: 1:34:19 batch_cost: 0.8353 data_cost: 0.0016 ips: 76.6152 images/s
[03/19 22:36:42] ppdet.engine INFO: Epoch: [285] [280/458] learning_rate: 0.001821 loss_vfl: 0.994582 loss_bbox: 0.448835 loss_dfl: 0.434655 loss: 1.886196 eta: 1:34:02 batch_cost: 0.9498 data_cost: 0.0047 ips: 67.3825 images/s
[03/19 22:37:01] ppdet.engine INFO: Epoch: [285] [300/458] learning_rate: 0.001810 loss_vfl: 0.966138 loss_bbox: 0.450369 loss_dfl: 0.422323 loss: 1.835624 eta: 1:33:44 batch_cost: 0.8642 data_cost: 0.0062 ips: 74.0578 images/s
[03/19 22:37:22] ppdet.engine INFO: Epoch: [285] [320/458] learning_rate: 0.001799 loss_vfl: 0.967547 loss_bbox: 0.440256 loss_dfl: 0.423280 loss: 1.856253 eta: 1:33:27 batch_cost: 0.9636 data_cost: 0.0019 ips: 66.4187 images/s
[03/19 22:37:40] ppdet.engine INFO: Epoch: [285] [340/458] learning_rate: 0.001788 loss_vfl: 1.001780 loss_bbox: 0.447629 loss_dfl: 0.428255 loss: 1.866535 eta: 1:33:10 batch_cost: 0.7876 data_cost: 0.0021 ips: 81.2583 images/s
[03/19 22:38:02] ppdet.engine INFO: Epoch: [285] [360/458] learning_rate: 0.001777 loss_vfl: 0.934013 loss_bbox: 0.430482 loss_dfl: 0.417942 loss: 1.788768 eta: 1:32:53 batch_cost: 0.9744 data_cost: 0.0015 ips: 65.6838 images/s
[03/19 22:38:21] ppdet.engine INFO: Epoch: [285] [380/458] learning_rate: 0.001766 loss_vfl: 0.966772 loss_bbox: 0.435310 loss_dfl: 0.404795 loss: 1.783623 eta: 1:32:36 batch_cost: 0.9106 data_cost: 0.0081 ips: 70.2860 images/s
[03/19 22:38:43] ppdet.engine INFO: Epoch: [285] [400/458] learning_rate: 0.001755 loss_vfl: 1.005942 loss_bbox: 0.454592 loss_dfl: 0.422479 loss: 1.870292 eta: 1:32:19 batch_cost: 1.0063 data_cost: 0.0026 ips: 63.5977 images/s
[03/19 22:39:00] ppdet.engine INFO: Epoch: [285] [420/458] learning_rate: 0.001744 loss_vfl: 0.964674 loss_bbox: 0.411501 loss_dfl: 0.409914 loss: 1.771894 eta: 1:32:02 batch_cost: 0.7626 data_cost: 0.0022 ips: 83.9287 images/s
[03/19 22:39:13] ppdet.engine INFO: Epoch: [285] [440/458] learning_rate: 0.001734 loss_vfl: 0.971516 loss_bbox: 0.433963 loss_dfl: 0.414009 loss: 1.802492 eta: 1:31:45 batch_cost: 0.5870 data_cost: 0.0066 ips: 109.0364 images/s
[03/19 22:39:32] ppdet.engine INFO: Epoch: [286] [  0/458] learning_rate: 0.001724 loss_vfl: 0.959826 loss_bbox: 0.435552 loss_dfl: 0.424951 loss: 1.828155 eta: 1:31:29 batch_cost: 0.8504 data_cost: 0.1989 ips: 75.2596 images/s
[03/19 22:39:50] ppdet.engine INFO: Epoch: [286] [ 20/458] learning_rate: 0.001713 loss_vfl: 0.979032 loss_bbox: 0.443598 loss_dfl: 0.427153 loss: 1.838756 eta: 1:31:12 batch_cost: 0.8566 data_cost: 0.0007 ips: 74.7162 images/s
[03/19 22:40:11] ppdet.engine INFO: Epoch: [286] [ 40/458] learning_rate: 0.001703 loss_vfl: 0.966674 loss_bbox: 0.448860 loss_dfl: 0.420932 loss: 1.836963 eta: 1:30:55 batch_cost: 0.9474 data_cost: 0.0015 ips: 67.5529 images/s
[03/19 22:40:32] ppdet.engine INFO: Epoch: [286] [ 60/458] learning_rate: 0.001692 loss_vfl: 0.910534 loss_bbox: 0.434009 loss_dfl: 0.405664 loss: 1.738063 eta: 1:30:38 batch_cost: 0.9630 data_cost: 0.0010 ips: 66.4623 images/s
[03/19 22:40:55] ppdet.engine INFO: Epoch: [286] [ 80/458] learning_rate: 0.001681 loss_vfl: 0.943029 loss_bbox: 0.425210 loss_dfl: 0.412974 loss: 1.786775 eta: 1:30:21 batch_cost: 1.0904 data_cost: 0.0017 ips: 58.6964 images/s
[03/19 22:41:13] ppdet.engine INFO: Epoch: [286] [100/458] learning_rate: 0.001671 loss_vfl: 0.994143 loss_bbox: 0.451145 loss_dfl: 0.429297 loss: 1.848220 eta: 1:30:04 batch_cost: 0.8056 data_cost: 0.0029 ips: 79.4430 images/s
[03/19 22:41:34] ppdet.engine INFO: Epoch: [286] [120/458] learning_rate: 0.001660 loss_vfl: 1.008004 loss_bbox: 0.452940 loss_dfl: 0.433626 loss: 1.899227 eta: 1:29:47 batch_cost: 0.9839 data_cost: 0.0006 ips: 65.0448 images/s
[03/19 22:41:53] ppdet.engine INFO: Epoch: [286] [140/458] learning_rate: 0.001650 loss_vfl: 0.934377 loss_bbox: 0.433288 loss_dfl: 0.407023 loss: 1.755735 eta: 1:29:30 batch_cost: 0.8809 data_cost: 0.0043 ips: 72.6570 images/s
[03/19 22:42:17] ppdet.engine INFO: Epoch: [286] [160/458] learning_rate: 0.001639 loss_vfl: 0.937256 loss_bbox: 0.419144 loss_dfl: 0.408544 loss: 1.777396 eta: 1:29:13 batch_cost: 1.1043 data_cost: 0.0013 ips: 57.9571 images/s
[03/19 22:42:38] ppdet.engine INFO: Epoch: [286] [180/458] learning_rate: 0.001629 loss_vfl: 0.952118 loss_bbox: 0.436978 loss_dfl: 0.415610 loss: 1.817645 eta: 1:28:56 batch_cost: 0.9631 data_cost: 0.0018 ips: 66.4552 images/s
[03/19 22:42:56] ppdet.engine INFO: Epoch: [286] [200/458] learning_rate: 0.001618 loss_vfl: 0.997023 loss_bbox: 0.447545 loss_dfl: 0.432100 loss: 1.866241 eta: 1:28:39 batch_cost: 0.8403 data_cost: 0.0085 ips: 76.1670 images/s
[03/19 22:43:18] ppdet.engine INFO: Epoch: [286] [220/458] learning_rate: 0.001608 loss_vfl: 0.980658 loss_bbox: 0.439419 loss_dfl: 0.412167 loss: 1.823362 eta: 1:28:22 batch_cost: 0.9912 data_cost: 0.0023 ips: 64.5664 images/s
[03/19 22:43:38] ppdet.engine INFO: Epoch: [286] [240/458] learning_rate: 0.001598 loss_vfl: 1.002500 loss_bbox: 0.459763 loss_dfl: 0.429774 loss: 1.868280 eta: 1:28:05 batch_cost: 0.9208 data_cost: 0.0033 ips: 69.5084 images/s
[03/19 22:43:59] ppdet.engine INFO: Epoch: [286] [260/458] learning_rate: 0.001587 loss_vfl: 0.949395 loss_bbox: 0.428129 loss_dfl: 0.412927 loss: 1.806592 eta: 1:27:48 batch_cost: 1.0084 data_cost: 0.0032 ips: 63.4644 images/s
[03/19 22:44:20] ppdet.engine INFO: Epoch: [286] [280/458] learning_rate: 0.001577 loss_vfl: 0.973708 loss_bbox: 0.432227 loss_dfl: 0.412622 loss: 1.812080 eta: 1:27:31 batch_cost: 0.9355 data_cost: 0.0047 ips: 68.4151 images/s
[03/19 22:44:43] ppdet.engine INFO: Epoch: [286] [300/458] learning_rate: 0.001567 loss_vfl: 0.925927 loss_bbox: 0.418218 loss_dfl: 0.401433 loss: 1.775032 eta: 1:27:14 batch_cost: 1.0963 data_cost: 0.0020 ips: 58.3785 images/s
[03/19 22:45:02] ppdet.engine INFO: Epoch: [286] [320/458] learning_rate: 0.001556 loss_vfl: 0.942392 loss_bbox: 0.426455 loss_dfl: 0.408345 loss: 1.785052 eta: 1:26:57 batch_cost: 0.8759 data_cost: 0.0014 ips: 73.0678 images/s
[03/19 22:45:22] ppdet.engine INFO: Epoch: [286] [340/458] learning_rate: 0.001546 loss_vfl: 0.977794 loss_bbox: 0.461859 loss_dfl: 0.428683 loss: 1.879469 eta: 1:26:40 batch_cost: 0.9185 data_cost: 0.0021 ips: 69.6817 images/s
[03/19 22:45:44] ppdet.engine INFO: Epoch: [286] [360/458] learning_rate: 0.001536 loss_vfl: 0.985726 loss_bbox: 0.449144 loss_dfl: 0.417351 loss: 1.850378 eta: 1:26:23 batch_cost: 0.9882 data_cost: 0.0011 ips: 64.7640 images/s
[03/19 22:46:04] ppdet.engine INFO: Epoch: [286] [380/458] learning_rate: 0.001526 loss_vfl: 0.995993 loss_bbox: 0.447017 loss_dfl: 0.426474 loss: 1.834174 eta: 1:26:06 batch_cost: 0.9528 data_cost: 0.0030 ips: 67.1712 images/s
[03/19 22:46:20] ppdet.engine INFO: Epoch: [286] [400/458] learning_rate: 0.001516 loss_vfl: 0.974295 loss_bbox: 0.436864 loss_dfl: 0.419376 loss: 1.827722 eta: 1:25:48 batch_cost: 0.6955 data_cost: 0.0051 ips: 92.0255 images/s
[03/19 22:46:37] ppdet.engine INFO: Epoch: [286] [420/458] learning_rate: 0.001506 loss_vfl: 0.994935 loss_bbox: 0.442731 loss_dfl: 0.423523 loss: 1.867293 eta: 1:25:31 batch_cost: 0.7520 data_cost: 0.0016 ips: 85.1116 images/s
[03/19 22:46:50] ppdet.engine INFO: Epoch: [286] [440/458] learning_rate: 0.001496 loss_vfl: 0.976833 loss_bbox: 0.451762 loss_dfl: 0.426742 loss: 1.853502 eta: 1:25:14 batch_cost: 0.5884 data_cost: 0.0112 ips: 108.7605 images/s
[03/19 22:47:12] ppdet.engine INFO: Epoch: [287] [  0/458] learning_rate: 0.001487 loss_vfl: 0.967358 loss_bbox: 0.455916 loss_dfl: 0.417006 loss: 1.838205 eta: 1:24:58 batch_cost: 1.0413 data_cost: 0.2496 ips: 61.4640 images/s
[03/19 22:47:30] ppdet.engine INFO: Epoch: [287] [ 20/458] learning_rate: 0.001477 loss_vfl: 0.954967 loss_bbox: 0.428168 loss_dfl: 0.413052 loss: 1.803566 eta: 1:24:41 batch_cost: 0.7576 data_cost: 0.0038 ips: 84.4822 images/s
[03/19 22:47:49] ppdet.engine INFO: Epoch: [287] [ 40/458] learning_rate: 0.001467 loss_vfl: 0.957237 loss_bbox: 0.431663 loss_dfl: 0.407818 loss: 1.811613 eta: 1:24:24 batch_cost: 0.7786 data_cost: 0.0085 ips: 82.1952 images/s
[03/19 22:48:10] ppdet.engine INFO: Epoch: [287] [ 60/458] learning_rate: 0.001457 loss_vfl: 0.947727 loss_bbox: 0.435181 loss_dfl: 0.409088 loss: 1.791142 eta: 1:24:07 batch_cost: 0.9360 data_cost: 0.1843 ips: 68.3742 images/s
[03/19 22:48:33] ppdet.engine INFO: Epoch: [287] [ 80/458] learning_rate: 0.001447 loss_vfl: 0.944716 loss_bbox: 0.437586 loss_dfl: 0.409848 loss: 1.803207 eta: 1:23:50 batch_cost: 1.0559 data_cost: 0.3152 ips: 60.6142 images/s
[03/19 22:48:52] ppdet.engine INFO: Epoch: [287] [100/458] learning_rate: 0.001437 loss_vfl: 0.946247 loss_bbox: 0.420453 loss_dfl: 0.405133 loss: 1.783418 eta: 1:23:33 batch_cost: 0.8523 data_cost: 0.1847 ips: 75.0909 images/s
[03/19 22:49:13] ppdet.engine INFO: Epoch: [287] [120/458] learning_rate: 0.001428 loss_vfl: 0.957762 loss_bbox: 0.438930 loss_dfl: 0.409501 loss: 1.775166 eta: 1:23:16 batch_cost: 0.9267 data_cost: 0.1756 ips: 69.0613 images/s
[03/19 22:49:32] ppdet.engine INFO: Epoch: [287] [140/458] learning_rate: 0.001418 loss_vfl: 0.960001 loss_bbox: 0.438120 loss_dfl: 0.422705 loss: 1.843699 eta: 1:22:59 batch_cost: 0.7987 data_cost: 0.1671 ips: 80.1307 images/s
[03/19 22:49:53] ppdet.engine INFO: Epoch: [287] [160/458] learning_rate: 0.001408 loss_vfl: 0.950727 loss_bbox: 0.438677 loss_dfl: 0.416114 loss: 1.814291 eta: 1:22:42 batch_cost: 0.8761 data_cost: 0.2496 ips: 73.0520 images/s
[03/19 22:50:10] ppdet.engine INFO: Epoch: [287] [180/458] learning_rate: 0.001398 loss_vfl: 0.934849 loss_bbox: 0.425848 loss_dfl: 0.393726 loss: 1.751683 eta: 1:22:24 batch_cost: 0.7429 data_cost: 0.0010 ips: 86.1545 images/s
[03/19 22:50:33] ppdet.engine INFO: Epoch: [287] [200/458] learning_rate: 0.001389 loss_vfl: 0.965888 loss_bbox: 0.438401 loss_dfl: 0.419547 loss: 1.814683 eta: 1:22:07 batch_cost: 1.0278 data_cost: 0.3593 ips: 62.2665 images/s
[03/19 22:50:52] ppdet.engine INFO: Epoch: [287] [220/458] learning_rate: 0.001379 loss_vfl: 0.946774 loss_bbox: 0.417927 loss_dfl: 0.398688 loss: 1.751068 eta: 1:21:50 batch_cost: 0.8490 data_cost: 0.1048 ips: 75.3784 images/s
[03/19 22:51:12] ppdet.engine INFO: Epoch: [287] [240/458] learning_rate: 0.001370 loss_vfl: 1.014197 loss_bbox: 0.459569 loss_dfl: 0.429702 loss: 1.897362 eta: 1:21:33 batch_cost: 0.8851 data_cost: 0.1461 ips: 72.3051 images/s
[03/19 22:51:30] ppdet.engine INFO: Epoch: [287] [260/458] learning_rate: 0.001360 loss_vfl: 0.920539 loss_bbox: 0.423600 loss_dfl: 0.389845 loss: 1.720224 eta: 1:21:16 batch_cost: 0.7992 data_cost: 0.1941 ips: 80.0823 images/s
[03/19 22:51:49] ppdet.engine INFO: Epoch: [287] [280/458] learning_rate: 0.001350 loss_vfl: 1.012665 loss_bbox: 0.457617 loss_dfl: 0.432847 loss: 1.883125 eta: 1:20:59 batch_cost: 0.8508 data_cost: 0.2586 ips: 75.2237 images/s
[03/19 22:52:10] ppdet.engine INFO: Epoch: [287] [300/458] learning_rate: 0.001341 loss_vfl: 0.955545 loss_bbox: 0.436452 loss_dfl: 0.417951 loss: 1.790591 eta: 1:20:42 batch_cost: 0.9604 data_cost: 0.1076 ips: 66.6360 images/s
[03/19 22:52:31] ppdet.engine INFO: Epoch: [287] [320/458] learning_rate: 0.001332 loss_vfl: 0.971052 loss_bbox: 0.442260 loss_dfl: 0.426500 loss: 1.845728 eta: 1:20:25 batch_cost: 0.8497 data_cost: 0.0037 ips: 75.3221 images/s
[03/19 22:52:50] ppdet.engine INFO: Epoch: [287] [340/458] learning_rate: 0.001322 loss_vfl: 0.997252 loss_bbox: 0.430636 loss_dfl: 0.427990 loss: 1.849458 eta: 1:20:08 batch_cost: 0.8434 data_cost: 0.2831 ips: 75.8802 images/s
[03/19 22:53:10] ppdet.engine INFO: Epoch: [287] [360/458] learning_rate: 0.001313 loss_vfl: 0.943513 loss_bbox: 0.422276 loss_dfl: 0.397004 loss: 1.760976 eta: 1:19:50 batch_cost: 0.9281 data_cost: 0.0726 ips: 68.9575 images/s
[03/19 22:53:28] ppdet.engine INFO: Epoch: [287] [380/458] learning_rate: 0.001303 loss_vfl: 0.949803 loss_bbox: 0.466580 loss_dfl: 0.431160 loss: 1.840699 eta: 1:19:33 batch_cost: 0.7846 data_cost: 0.0007 ips: 81.5701 images/s
[03/19 22:53:42] ppdet.engine INFO: Epoch: [287] [400/458] learning_rate: 0.001294 loss_vfl: 0.960543 loss_bbox: 0.428973 loss_dfl: 0.406358 loss: 1.794390 eta: 1:19:16 batch_cost: 0.6120 data_cost: 0.0018 ips: 104.5812 images/s
[03/19 22:53:58] ppdet.engine INFO: Epoch: [287] [420/458] learning_rate: 0.001285 loss_vfl: 0.955965 loss_bbox: 0.439952 loss_dfl: 0.418107 loss: 1.826327 eta: 1:18:59 batch_cost: 0.6702 data_cost: 0.0031 ips: 95.4977 images/s
[03/19 22:54:20] ppdet.engine INFO: Epoch: [287] [440/458] learning_rate: 0.001275 loss_vfl: 0.947923 loss_bbox: 0.426658 loss_dfl: 0.398196 loss: 1.769306 eta: 1:18:42 batch_cost: 1.0455 data_cost: 0.0080 ips: 61.2175 images/s
[03/19 22:54:41] ppdet.engine INFO: Epoch: [288] [  0/458] learning_rate: 0.001267 loss_vfl: 0.970399 loss_bbox: 0.444050 loss_dfl: 0.419750 loss: 1.798365 eta: 1:18:26 batch_cost: 1.0821 data_cost: 0.4537 ips: 59.1443 images/s
[03/19 22:55:01] ppdet.engine INFO: Epoch: [288] [ 20/458] learning_rate: 0.001258 loss_vfl: 0.948173 loss_bbox: 0.434756 loss_dfl: 0.419487 loss: 1.808555 eta: 1:18:09 batch_cost: 0.8223 data_cost: 0.1538 ips: 77.8316 images/s
[03/19 22:55:24] ppdet.engine INFO: Epoch: [288] [ 40/458] learning_rate: 0.001249 loss_vfl: 0.972655 loss_bbox: 0.425921 loss_dfl: 0.405030 loss: 1.804267 eta: 1:17:52 batch_cost: 1.0520 data_cost: 0.1467 ips: 60.8372 images/s
[03/19 22:55:44] ppdet.engine INFO: Epoch: [288] [ 60/458] learning_rate: 0.001240 loss_vfl: 0.981354 loss_bbox: 0.415840 loss_dfl: 0.404022 loss: 1.800416 eta: 1:17:35 batch_cost: 0.9731 data_cost: 0.1387 ips: 65.7666 images/s
[03/19 22:56:07] ppdet.engine INFO: Epoch: [288] [ 80/458] learning_rate: 0.001231 loss_vfl: 0.985940 loss_bbox: 0.434881 loss_dfl: 0.427785 loss: 1.830508 eta: 1:17:18 batch_cost: 0.9855 data_cost: 0.2301 ips: 64.9437 images/s
[03/19 22:56:27] ppdet.engine INFO: Epoch: [288] [100/458] learning_rate: 0.001222 loss_vfl: 0.958810 loss_bbox: 0.445518 loss_dfl: 0.425620 loss: 1.831152 eta: 1:17:01 batch_cost: 0.9727 data_cost: 0.3396 ips: 65.7992 images/s
[03/19 22:56:46] ppdet.engine INFO: Epoch: [288] [120/458] learning_rate: 0.001213 loss_vfl: 0.964717 loss_bbox: 0.450292 loss_dfl: 0.417210 loss: 1.840335 eta: 1:16:44 batch_cost: 0.8124 data_cost: 0.1827 ips: 78.7807 images/s
[03/19 22:57:06] ppdet.engine INFO: Epoch: [288] [140/458] learning_rate: 0.001204 loss_vfl: 1.010727 loss_bbox: 0.447668 loss_dfl: 0.439211 loss: 1.906603 eta: 1:16:27 batch_cost: 0.9337 data_cost: 0.4313 ips: 68.5464 images/s
[03/19 22:57:29] ppdet.engine INFO: Epoch: [288] [160/458] learning_rate: 0.001195 loss_vfl: 0.980117 loss_bbox: 0.444216 loss_dfl: 0.418726 loss: 1.838131 eta: 1:16:10 batch_cost: 1.0302 data_cost: 0.4638 ips: 62.1214 images/s
[03/19 22:57:48] ppdet.engine INFO: Epoch: [288] [180/458] learning_rate: 0.001186 loss_vfl: 0.989468 loss_bbox: 0.447320 loss_dfl: 0.420550 loss: 1.839565 eta: 1:15:53 batch_cost: 0.8711 data_cost: 0.2301 ips: 73.4670 images/s
[03/19 22:58:12] ppdet.engine INFO: Epoch: [288] [200/458] learning_rate: 0.001177 loss_vfl: 0.932647 loss_bbox: 0.418105 loss_dfl: 0.396995 loss: 1.731651 eta: 1:15:36 batch_cost: 1.1233 data_cost: 0.5373 ips: 56.9769 images/s
[03/19 22:58:30] ppdet.engine INFO: Epoch: [288] [220/458] learning_rate: 0.001168 loss_vfl: 0.943984 loss_bbox: 0.438317 loss_dfl: 0.406131 loss: 1.766322 eta: 1:15:19 batch_cost: 0.8012 data_cost: 0.1607 ips: 79.8783 images/s
[03/19 22:58:51] ppdet.engine INFO: Epoch: [288] [240/458] learning_rate: 0.001159 loss_vfl: 0.933379 loss_bbox: 0.423006 loss_dfl: 0.409733 loss: 1.791757 eta: 1:15:02 batch_cost: 0.9614 data_cost: 0.3088 ips: 66.5730 images/s
[03/19 22:59:13] ppdet.engine INFO: Epoch: [288] [260/458] learning_rate: 0.001150 loss_vfl: 0.956429 loss_bbox: 0.433667 loss_dfl: 0.413500 loss: 1.812632 eta: 1:14:45 batch_cost: 1.0267 data_cost: 0.4097 ips: 62.3343 images/s
[03/19 22:59:33] ppdet.engine INFO: Epoch: [288] [280/458] learning_rate: 0.001141 loss_vfl: 0.988950 loss_bbox: 0.447327 loss_dfl: 0.411870 loss: 1.830291 eta: 1:14:28 batch_cost: 0.8630 data_cost: 0.2773 ips: 74.1558 images/s
[03/19 22:59:53] ppdet.engine INFO: Epoch: [288] [300/458] learning_rate: 0.001133 loss_vfl: 0.932830 loss_bbox: 0.414006 loss_dfl: 0.398993 loss: 1.727089 eta: 1:14:10 batch_cost: 0.9363 data_cost: 0.3633 ips: 68.3530 images/s
[03/19 23:00:09] ppdet.engine INFO: Epoch: [288] [320/458] learning_rate: 0.001124 loss_vfl: 0.986366 loss_bbox: 0.443187 loss_dfl: 0.425085 loss: 1.849370 eta: 1:13:53 batch_cost: 0.7288 data_cost: 0.2077 ips: 87.8202 images/s
[03/19 23:00:25] ppdet.engine INFO: Epoch: [288] [340/458] learning_rate: 0.001115 loss_vfl: 0.992668 loss_bbox: 0.464741 loss_dfl: 0.432438 loss: 1.865454 eta: 1:13:36 batch_cost: 0.7123 data_cost: 0.1848 ips: 89.8456 images/s
[03/19 23:00:43] ppdet.engine INFO: Epoch: [288] [360/458] learning_rate: 0.001107 loss_vfl: 0.948359 loss_bbox: 0.435591 loss_dfl: 0.417852 loss: 1.804926 eta: 1:13:19 batch_cost: 0.8303 data_cost: 0.2633 ips: 77.0836 images/s
[03/19 23:01:02] ppdet.engine INFO: Epoch: [288] [380/458] learning_rate: 0.001098 loss_vfl: 0.991516 loss_bbox: 0.431646 loss_dfl: 0.417744 loss: 1.820223 eta: 1:13:02 batch_cost: 0.8668 data_cost: 0.1779 ips: 73.8337 images/s
[03/19 23:01:25] ppdet.engine INFO: Epoch: [288] [400/458] learning_rate: 0.001090 loss_vfl: 0.978702 loss_bbox: 0.428110 loss_dfl: 0.416520 loss: 1.852053 eta: 1:12:45 batch_cost: 1.0374 data_cost: 0.4483 ips: 61.6932 images/s
[03/19 23:01:42] ppdet.engine INFO: Epoch: [288] [420/458] learning_rate: 0.001081 loss_vfl: 0.948888 loss_bbox: 0.410100 loss_dfl: 0.395636 loss: 1.749753 eta: 1:12:28 batch_cost: 0.7668 data_cost: 0.1915 ips: 83.4682 images/s
[03/19 23:02:06] ppdet.engine INFO: Epoch: [288] [440/458] learning_rate: 0.001073 loss_vfl: 0.968378 loss_bbox: 0.423528 loss_dfl: 0.403650 loss: 1.787292 eta: 1:12:11 batch_cost: 1.0582 data_cost: 0.3277 ips: 60.4816 images/s
[03/19 23:02:29] ppdet.engine INFO: Epoch: [289] [  0/458] learning_rate: 0.001065 loss_vfl: 0.973923 loss_bbox: 0.451908 loss_dfl: 0.429595 loss: 1.884117 eta: 1:11:55 batch_cost: 1.1434 data_cost: 0.5159 ips: 55.9749 images/s
[03/19 23:02:49] ppdet.engine INFO: Epoch: [289] [ 20/458] learning_rate: 0.001057 loss_vfl: 0.999725 loss_bbox: 0.452036 loss_dfl: 0.413394 loss: 1.840166 eta: 1:11:38 batch_cost: 0.9221 data_cost: 0.1902 ips: 69.4073 images/s
[03/19 23:03:11] ppdet.engine INFO: Epoch: [289] [ 40/458] learning_rate: 0.001048 loss_vfl: 0.972544 loss_bbox: 0.437702 loss_dfl: 0.413357 loss: 1.825171 eta: 1:11:21 batch_cost: 1.0290 data_cost: 0.3436 ips: 62.1988 images/s
[03/19 23:03:30] ppdet.engine INFO: Epoch: [289] [ 60/458] learning_rate: 0.001040 loss_vfl: 0.940190 loss_bbox: 0.430021 loss_dfl: 0.402176 loss: 1.758615 eta: 1:11:04 batch_cost: 0.8712 data_cost: 0.2150 ips: 73.4631 images/s
[03/19 23:03:50] ppdet.engine INFO: Epoch: [289] [ 80/458] learning_rate: 0.001031 loss_vfl: 0.967591 loss_bbox: 0.447876 loss_dfl: 0.422780 loss: 1.853570 eta: 1:10:47 batch_cost: 0.8814 data_cost: 0.1169 ips: 72.6110 images/s
[03/19 23:04:10] ppdet.engine INFO: Epoch: [289] [100/458] learning_rate: 0.001023 loss_vfl: 0.940386 loss_bbox: 0.439755 loss_dfl: 0.404435 loss: 1.766424 eta: 1:10:30 batch_cost: 0.9044 data_cost: 0.0315 ips: 70.7636 images/s
[03/19 23:04:32] ppdet.engine INFO: Epoch: [289] [120/458] learning_rate: 0.001015 loss_vfl: 0.960042 loss_bbox: 0.439310 loss_dfl: 0.414038 loss: 1.797884 eta: 1:10:13 batch_cost: 0.9820 data_cost: 0.0016 ips: 65.1752 images/s
[03/19 23:04:51] ppdet.engine INFO: Epoch: [289] [140/458] learning_rate: 0.001007 loss_vfl: 0.967253 loss_bbox: 0.431151 loss_dfl: 0.423372 loss: 1.835346 eta: 1:09:56 batch_cost: 0.8852 data_cost: 0.1619 ips: 72.3010 images/s
[03/19 23:05:13] ppdet.engine INFO: Epoch: [289] [160/458] learning_rate: 0.000998 loss_vfl: 0.961165 loss_bbox: 0.427279 loss_dfl: 0.403619 loss: 1.789437 eta: 1:09:39 batch_cost: 1.0164 data_cost: 0.0179 ips: 62.9688 images/s
[03/19 23:05:35] ppdet.engine INFO: Epoch: [289] [180/458] learning_rate: 0.000990 loss_vfl: 0.992617 loss_bbox: 0.439582 loss_dfl: 0.426839 loss: 1.876556 eta: 1:09:22 batch_cost: 0.9840 data_cost: 0.2995 ips: 65.0397 images/s
[03/19 23:05:55] ppdet.engine INFO: Epoch: [289] [200/458] learning_rate: 0.000982 loss_vfl: 1.007352 loss_bbox: 0.434283 loss_dfl: 0.433087 loss: 1.866319 eta: 1:09:05 batch_cost: 0.8772 data_cost: 0.3590 ips: 72.9632 images/s
[03/19 23:06:15] ppdet.engine INFO: Epoch: [289] [220/458] learning_rate: 0.000974 loss_vfl: 0.952903 loss_bbox: 0.431029 loss_dfl: 0.411414 loss: 1.801163 eta: 1:08:47 batch_cost: 0.9370 data_cost: 0.3584 ips: 68.2997 images/s
[03/19 23:06:35] ppdet.engine INFO: Epoch: [289] [240/458] learning_rate: 0.000966 loss_vfl: 1.019894 loss_bbox: 0.459252 loss_dfl: 0.433856 loss: 1.903680 eta: 1:08:30 batch_cost: 0.8825 data_cost: 0.2371 ips: 72.5204 images/s
[03/19 23:06:53] ppdet.engine INFO: Epoch: [289] [260/458] learning_rate: 0.000958 loss_vfl: 0.956585 loss_bbox: 0.442867 loss_dfl: 0.407187 loss: 1.776461 eta: 1:08:13 batch_cost: 0.8664 data_cost: 0.3702 ips: 73.8695 images/s
[03/19 23:07:08] ppdet.engine INFO: Epoch: [289] [280/458] learning_rate: 0.000950 loss_vfl: 0.943163 loss_bbox: 0.434143 loss_dfl: 0.400556 loss: 1.752439 eta: 1:07:56 batch_cost: 0.6660 data_cost: 0.2240 ips: 96.0946 images/s
[03/19 23:07:27] ppdet.engine INFO: Epoch: [289] [300/458] learning_rate: 0.000942 loss_vfl: 0.936047 loss_bbox: 0.411681 loss_dfl: 0.408627 loss: 1.746818 eta: 1:07:39 batch_cost: 0.8500 data_cost: 0.4038 ips: 75.2947 images/s
[03/19 23:07:47] ppdet.engine INFO: Epoch: [289] [320/458] learning_rate: 0.000934 loss_vfl: 0.990839 loss_bbox: 0.436306 loss_dfl: 0.421692 loss: 1.850627 eta: 1:07:22 batch_cost: 0.8892 data_cost: 0.3096 ips: 71.9749 images/s
[03/19 23:08:06] ppdet.engine INFO: Epoch: [289] [340/458] learning_rate: 0.000926 loss_vfl: 1.007464 loss_bbox: 0.472405 loss_dfl: 0.446980 loss: 1.919219 eta: 1:07:05 batch_cost: 0.8953 data_cost: 0.3123 ips: 71.4882 images/s
[03/19 23:08:27] ppdet.engine INFO: Epoch: [289] [360/458] learning_rate: 0.000918 loss_vfl: 0.993590 loss_bbox: 0.458439 loss_dfl: 0.425363 loss: 1.890519 eta: 1:06:48 batch_cost: 0.9534 data_cost: 0.3864 ips: 67.1252 images/s
[03/19 23:08:47] ppdet.engine INFO: Epoch: [289] [380/458] learning_rate: 0.000911 loss_vfl: 0.962220 loss_bbox: 0.457719 loss_dfl: 0.426050 loss: 1.851011 eta: 1:06:30 batch_cost: 0.8875 data_cost: 0.3151 ips: 72.1160 images/s
[03/19 23:09:09] ppdet.engine INFO: Epoch: [289] [400/458] learning_rate: 0.000903 loss_vfl: 0.944122 loss_bbox: 0.432279 loss_dfl: 0.409589 loss: 1.785711 eta: 1:06:13 batch_cost: 0.9837 data_cost: 0.2738 ips: 65.0578 images/s
[03/19 23:09:30] ppdet.engine INFO: Epoch: [289] [420/458] learning_rate: 0.000895 loss_vfl: 0.980514 loss_bbox: 0.437629 loss_dfl: 0.415857 loss: 1.835330 eta: 1:05:56 batch_cost: 0.9839 data_cost: 0.0054 ips: 65.0503 images/s
[03/19 23:09:51] ppdet.engine INFO: Epoch: [289] [440/458] learning_rate: 0.000887 loss_vfl: 0.988491 loss_bbox: 0.442154 loss_dfl: 0.429113 loss: 1.871754 eta: 1:05:39 batch_cost: 0.9555 data_cost: 0.0021 ips: 66.9785 images/s
[03/19 23:10:04] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 23:10:04] ppdet.engine INFO: Eval iter: 0
[03/19 23:10:20] ppdet.engine INFO: Eval iter: 100
[03/19 23:10:29] ppdet.engine INFO: Eval iter: 200
[03/19 23:10:37] ppdet.engine INFO: Eval iter: 300
[03/19 23:10:46] ppdet.engine INFO: Eval iter: 400
[03/19 23:10:54] ppdet.engine INFO: Eval iter: 500
[03/19 23:11:03] ppdet.engine INFO: Eval iter: 600
[03/19 23:11:17] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=1.02s)
creating index...
index created!
[03/19 23:11:18] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.58s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=78.78s).
Accumulating evaluation results...
DONE (t=16.15s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.235
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.361
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.245
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.064
 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 ] = 0.411
 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 ] = 0.378
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.401
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.124
 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 ] = 0.673
[03/19 23:12:59] ppdet.engine INFO: Total sample number: 4952, averge FPS: 81.45895260418709
[03/19 23:12:59] ppdet.engine INFO: Best test bbox ap is 0.235.
[03/19 23:12:59] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/19 23:13:00] ppdet.engine INFO: Epoch: [290] [  0/458] learning_rate: 0.000880 loss_vfl: 0.991964 loss_bbox: 0.476568 loss_dfl: 0.436516 loss: 1.917783 eta: 1:05:24 batch_cost: 0.6148 data_cost: 0.0013 ips: 104.0948 images/s
[03/19 23:13:14] ppdet.engine INFO: Epoch: [290] [ 20/458] learning_rate: 0.000873 loss_vfl: 0.933544 loss_bbox: 0.402312 loss_dfl: 0.393779 loss: 1.718115 eta: 1:05:06 batch_cost: 0.6061 data_cost: 0.1807 ips: 105.5960 images/s
[03/19 23:13:30] ppdet.engine INFO: Epoch: [290] [ 40/458] learning_rate: 0.000865 loss_vfl: 0.985318 loss_bbox: 0.441564 loss_dfl: 0.425104 loss: 1.845639 eta: 1:04:49 batch_cost: 0.7641 data_cost: 0.1759 ips: 83.7631 images/s
[03/19 23:13:47] ppdet.engine INFO: Epoch: [290] [ 60/458] learning_rate: 0.000857 loss_vfl: 0.986961 loss_bbox: 0.450578 loss_dfl: 0.430027 loss: 1.881234 eta: 1:04:32 batch_cost: 0.7489 data_cost: 0.2094 ips: 85.4564 images/s
[03/19 23:14:06] ppdet.engine INFO: Epoch: [290] [ 80/458] learning_rate: 0.000850 loss_vfl: 0.977732 loss_bbox: 0.454865 loss_dfl: 0.426341 loss: 1.864085 eta: 1:04:15 batch_cost: 0.9013 data_cost: 0.1914 ips: 71.0111 images/s
[03/19 23:14:26] ppdet.engine INFO: Epoch: [290] [100/458] learning_rate: 0.000842 loss_vfl: 0.957271 loss_bbox: 0.422604 loss_dfl: 0.416150 loss: 1.815441 eta: 1:03:58 batch_cost: 0.8663 data_cost: 0.1412 ips: 73.8749 images/s
[03/19 23:14:48] ppdet.engine INFO: Epoch: [290] [120/458] learning_rate: 0.000835 loss_vfl: 1.023453 loss_bbox: 0.457958 loss_dfl: 0.442677 loss: 1.925055 eta: 1:03:41 batch_cost: 1.0031 data_cost: 0.1983 ips: 63.8053 images/s
[03/19 23:15:08] ppdet.engine INFO: Epoch: [290] [140/458] learning_rate: 0.000827 loss_vfl: 0.937690 loss_bbox: 0.425210 loss_dfl: 0.413949 loss: 1.778019 eta: 1:03:24 batch_cost: 0.9514 data_cost: 0.0827 ips: 67.2658 images/s
[03/19 23:15:29] ppdet.engine INFO: Epoch: [290] [160/458] learning_rate: 0.000820 loss_vfl: 0.964059 loss_bbox: 0.430607 loss_dfl: 0.418758 loss: 1.838644 eta: 1:03:06 batch_cost: 0.8914 data_cost: 0.2895 ips: 71.7935 images/s
[03/19 23:15:51] ppdet.engine INFO: Epoch: [290] [180/458] learning_rate: 0.000813 loss_vfl: 0.961049 loss_bbox: 0.431634 loss_dfl: 0.411692 loss: 1.781699 eta: 1:02:49 batch_cost: 1.0068 data_cost: 0.0620 ips: 63.5650 images/s
[03/19 23:16:13] ppdet.engine INFO: Epoch: [290] [200/458] learning_rate: 0.000805 loss_vfl: 0.979707 loss_bbox: 0.427658 loss_dfl: 0.419331 loss: 1.834747 eta: 1:02:32 batch_cost: 0.9875 data_cost: 0.0010 ips: 64.8093 images/s
[03/19 23:16:32] ppdet.engine INFO: Epoch: [290] [220/458] learning_rate: 0.000798 loss_vfl: 0.970703 loss_bbox: 0.436411 loss_dfl: 0.417833 loss: 1.818591 eta: 1:02:15 batch_cost: 0.8654 data_cost: 0.0020 ips: 73.9535 images/s
[03/19 23:16:52] ppdet.engine INFO: Epoch: [290] [240/458] learning_rate: 0.000791 loss_vfl: 0.984003 loss_bbox: 0.452472 loss_dfl: 0.428083 loss: 1.864333 eta: 1:01:58 batch_cost: 0.8306 data_cost: 0.0010 ips: 77.0548 images/s
[03/19 23:17:14] ppdet.engine INFO: Epoch: [290] [260/458] learning_rate: 0.000783 loss_vfl: 0.944801 loss_bbox: 0.431861 loss_dfl: 0.417016 loss: 1.807434 eta: 1:01:41 batch_cost: 0.9964 data_cost: 0.0632 ips: 64.2324 images/s
[03/19 23:17:33] ppdet.engine INFO: Epoch: [290] [280/458] learning_rate: 0.000776 loss_vfl: 0.946114 loss_bbox: 0.436674 loss_dfl: 0.421170 loss: 1.810925 eta: 1:01:24 batch_cost: 0.8948 data_cost: 0.0084 ips: 71.5234 images/s
[03/19 23:17:55] ppdet.engine INFO: Epoch: [290] [300/458] learning_rate: 0.000769 loss_vfl: 0.958824 loss_bbox: 0.456544 loss_dfl: 0.427849 loss: 1.839895 eta: 1:01:07 batch_cost: 0.9952 data_cost: 0.4668 ips: 64.3116 images/s
[03/19 23:18:16] ppdet.engine INFO: Epoch: [290] [320/458] learning_rate: 0.000762 loss_vfl: 0.972105 loss_bbox: 0.435015 loss_dfl: 0.411371 loss: 1.824625 eta: 1:00:50 batch_cost: 0.9337 data_cost: 0.3270 ips: 68.5477 images/s
[03/19 23:18:39] ppdet.engine INFO: Epoch: [290] [340/458] learning_rate: 0.000755 loss_vfl: 0.922493 loss_bbox: 0.392157 loss_dfl: 0.389824 loss: 1.694479 eta: 1:00:33 batch_cost: 1.0430 data_cost: 0.5525 ips: 61.3597 images/s
[03/19 23:18:57] ppdet.engine INFO: Epoch: [290] [360/458] learning_rate: 0.000747 loss_vfl: 0.968197 loss_bbox: 0.427872 loss_dfl: 0.419995 loss: 1.815162 eta: 1:00:16 batch_cost: 0.8381 data_cost: 0.3464 ips: 76.3632 images/s
[03/19 23:19:19] ppdet.engine INFO: Epoch: [290] [380/458] learning_rate: 0.000740 loss_vfl: 0.986398 loss_bbox: 0.448279 loss_dfl: 0.424518 loss: 1.866991 eta: 0:59:59 batch_cost: 0.9243 data_cost: 0.3541 ips: 69.2391 images/s
[03/19 23:19:39] ppdet.engine INFO: Epoch: [290] [400/458] learning_rate: 0.000733 loss_vfl: 0.933307 loss_bbox: 0.412723 loss_dfl: 0.400813 loss: 1.745087 eta: 0:59:41 batch_cost: 0.9114 data_cost: 0.2670 ips: 70.2248 images/s
[03/19 23:19:57] ppdet.engine INFO: Epoch: [290] [420/458] learning_rate: 0.000726 loss_vfl: 0.932159 loss_bbox: 0.417660 loss_dfl: 0.406438 loss: 1.772192 eta: 0:59:24 batch_cost: 0.7979 data_cost: 0.1455 ips: 80.2134 images/s
[03/19 23:20:12] ppdet.engine INFO: Epoch: [290] [440/458] learning_rate: 0.000719 loss_vfl: 1.037378 loss_bbox: 0.469774 loss_dfl: 0.440851 loss: 1.957720 eta: 0:59:07 batch_cost: 0.6574 data_cost: 0.2225 ips: 97.3603 images/s
[03/19 23:20:32] ppdet.engine INFO: Epoch: [291] [  0/458] learning_rate: 0.000713 loss_vfl: 0.942036 loss_bbox: 0.415492 loss_dfl: 0.406529 loss: 1.785470 eta: 0:58:52 batch_cost: 0.9289 data_cost: 0.4896 ips: 68.8958 images/s
[03/19 23:20:52] ppdet.engine INFO: Epoch: [291] [ 20/458] learning_rate: 0.000706 loss_vfl: 0.951132 loss_bbox: 0.435952 loss_dfl: 0.418496 loss: 1.832872 eta: 0:58:35 batch_cost: 0.8342 data_cost: 0.0499 ips: 76.7169 images/s
[03/19 23:21:14] ppdet.engine INFO: Epoch: [291] [ 40/458] learning_rate: 0.000699 loss_vfl: 0.947778 loss_bbox: 0.426181 loss_dfl: 0.412970 loss: 1.797574 eta: 0:58:17 batch_cost: 0.9791 data_cost: 0.1918 ips: 65.3683 images/s
[03/19 23:21:34] ppdet.engine INFO: Epoch: [291] [ 60/458] learning_rate: 0.000693 loss_vfl: 1.011171 loss_bbox: 0.462034 loss_dfl: 0.431264 loss: 1.897398 eta: 0:58:00 batch_cost: 0.9018 data_cost: 0.2508 ips: 70.9719 images/s
[03/19 23:21:53] ppdet.engine INFO: Epoch: [291] [ 80/458] learning_rate: 0.000686 loss_vfl: 0.986045 loss_bbox: 0.439811 loss_dfl: 0.416796 loss: 1.818411 eta: 0:57:43 batch_cost: 0.7868 data_cost: 0.0468 ips: 81.3370 images/s
[03/19 23:22:12] ppdet.engine INFO: Epoch: [291] [100/458] learning_rate: 0.000679 loss_vfl: 0.965931 loss_bbox: 0.428796 loss_dfl: 0.423427 loss: 1.827380 eta: 0:57:26 batch_cost: 0.8020 data_cost: 0.1267 ips: 79.8018 images/s
[03/19 23:22:31] ppdet.engine INFO: Epoch: [291] [120/458] learning_rate: 0.000672 loss_vfl: 0.908412 loss_bbox: 0.430897 loss_dfl: 0.416007 loss: 1.784710 eta: 0:57:09 batch_cost: 0.7856 data_cost: 0.0465 ips: 81.4672 images/s
[03/19 23:22:51] ppdet.engine INFO: Epoch: [291] [140/458] learning_rate: 0.000666 loss_vfl: 0.965678 loss_bbox: 0.453079 loss_dfl: 0.422756 loss: 1.850411 eta: 0:56:52 batch_cost: 0.9117 data_cost: 0.3189 ips: 70.1988 images/s
[03/19 23:23:10] ppdet.engine INFO: Epoch: [291] [160/458] learning_rate: 0.000659 loss_vfl: 0.929711 loss_bbox: 0.441732 loss_dfl: 0.409760 loss: 1.787301 eta: 0:56:35 batch_cost: 0.8540 data_cost: 0.1948 ips: 74.9423 images/s
[03/19 23:23:30] ppdet.engine INFO: Epoch: [291] [180/458] learning_rate: 0.000652 loss_vfl: 0.972338 loss_bbox: 0.435808 loss_dfl: 0.426135 loss: 1.856696 eta: 0:56:17 batch_cost: 0.8940 data_cost: 0.2657 ips: 71.5896 images/s
[03/19 23:23:49] ppdet.engine INFO: Epoch: [291] [200/458] learning_rate: 0.000646 loss_vfl: 0.946148 loss_bbox: 0.425804 loss_dfl: 0.405871 loss: 1.785989 eta: 0:56:00 batch_cost: 0.8364 data_cost: 0.2560 ips: 76.5214 images/s
[03/19 23:24:09] ppdet.engine INFO: Epoch: [291] [220/458] learning_rate: 0.000639 loss_vfl: 0.942130 loss_bbox: 0.429425 loss_dfl: 0.400187 loss: 1.775425 eta: 0:55:43 batch_cost: 0.8718 data_cost: 0.1859 ips: 73.4087 images/s
[03/19 23:24:29] ppdet.engine INFO: Epoch: [291] [240/458] learning_rate: 0.000633 loss_vfl: 0.966572 loss_bbox: 0.427849 loss_dfl: 0.407178 loss: 1.797961 eta: 0:55:26 batch_cost: 0.8368 data_cost: 0.2839 ips: 76.4781 images/s
[03/19 23:24:48] ppdet.engine INFO: Epoch: [291] [260/458] learning_rate: 0.000626 loss_vfl: 0.974670 loss_bbox: 0.425445 loss_dfl: 0.416306 loss: 1.835337 eta: 0:55:09 batch_cost: 0.8222 data_cost: 0.1617 ips: 77.8395 images/s
[03/19 23:25:06] ppdet.engine INFO: Epoch: [291] [280/458] learning_rate: 0.000620 loss_vfl: 0.928810 loss_bbox: 0.430467 loss_dfl: 0.402636 loss: 1.772935 eta: 0:54:52 batch_cost: 0.7972 data_cost: 0.1082 ips: 80.2761 images/s
[03/19 23:25:28] ppdet.engine INFO: Epoch: [291] [300/458] learning_rate: 0.000613 loss_vfl: 0.951847 loss_bbox: 0.438542 loss_dfl: 0.409881 loss: 1.796087 eta: 0:54:35 batch_cost: 0.9895 data_cost: 0.2619 ips: 64.6763 images/s
[03/19 23:25:48] ppdet.engine INFO: Epoch: [291] [320/458] learning_rate: 0.000607 loss_vfl: 0.945448 loss_bbox: 0.438391 loss_dfl: 0.405631 loss: 1.770502 eta: 0:54:18 batch_cost: 0.9129 data_cost: 0.2831 ips: 70.1096 images/s
[03/19 23:26:06] ppdet.engine INFO: Epoch: [291] [340/458] learning_rate: 0.000600 loss_vfl: 0.989487 loss_bbox: 0.452399 loss_dfl: 0.431478 loss: 1.855029 eta: 0:54:00 batch_cost: 0.7499 data_cost: 0.0975 ips: 85.3487 images/s
[03/19 23:26:26] ppdet.engine INFO: Epoch: [291] [360/458] learning_rate: 0.000594 loss_vfl: 0.997453 loss_bbox: 0.446798 loss_dfl: 0.439111 loss: 1.873292 eta: 0:53:43 batch_cost: 0.9082 data_cost: 0.2851 ips: 70.4654 images/s
[03/19 23:26:45] ppdet.engine INFO: Epoch: [291] [380/458] learning_rate: 0.000588 loss_vfl: 1.010483 loss_bbox: 0.452391 loss_dfl: 0.438379 loss: 1.898344 eta: 0:53:26 batch_cost: 0.7875 data_cost: 0.2472 ips: 81.2718 images/s
[03/19 23:27:05] ppdet.engine INFO: Epoch: [291] [400/458] learning_rate: 0.000582 loss_vfl: 0.996809 loss_bbox: 0.455085 loss_dfl: 0.428202 loss: 1.872957 eta: 0:53:09 batch_cost: 0.8671 data_cost: 0.2515 ips: 73.8081 images/s
[03/19 23:27:20] ppdet.engine INFO: Epoch: [291] [420/458] learning_rate: 0.000575 loss_vfl: 0.960488 loss_bbox: 0.433801 loss_dfl: 0.424865 loss: 1.809769 eta: 0:52:52 batch_cost: 0.7060 data_cost: 0.2005 ips: 90.6485 images/s
[03/19 23:27:35] ppdet.engine INFO: Epoch: [291] [440/458] learning_rate: 0.000569 loss_vfl: 0.998458 loss_bbox: 0.469961 loss_dfl: 0.438087 loss: 1.926794 eta: 0:52:34 batch_cost: 0.6367 data_cost: 0.1801 ips: 100.5163 images/s
[03/19 23:27:52] ppdet.engine INFO: Epoch: [292] [  0/458] learning_rate: 0.000564 loss_vfl: 0.952609 loss_bbox: 0.403123 loss_dfl: 0.404954 loss: 1.771151 eta: 0:52:19 batch_cost: 0.8598 data_cost: 0.4349 ips: 74.4380 images/s
[03/19 23:28:14] ppdet.engine INFO: Epoch: [292] [ 20/458] learning_rate: 0.000557 loss_vfl: 0.966459 loss_bbox: 0.415917 loss_dfl: 0.416863 loss: 1.803202 eta: 0:52:02 batch_cost: 0.9524 data_cost: 0.2483 ips: 67.1964 images/s
[03/19 23:28:34] ppdet.engine INFO: Epoch: [292] [ 40/458] learning_rate: 0.000551 loss_vfl: 0.993370 loss_bbox: 0.440272 loss_dfl: 0.428564 loss: 1.867604 eta: 0:51:45 batch_cost: 0.7733 data_cost: 0.1151 ips: 82.7590 images/s
[03/19 23:28:54] ppdet.engine INFO: Epoch: [292] [ 60/458] learning_rate: 0.000545 loss_vfl: 0.958029 loss_bbox: 0.437915 loss_dfl: 0.418930 loss: 1.817208 eta: 0:51:28 batch_cost: 0.8713 data_cost: 0.2088 ips: 73.4568 images/s
[03/19 23:29:15] ppdet.engine INFO: Epoch: [292] [ 80/458] learning_rate: 0.000539 loss_vfl: 0.980570 loss_bbox: 0.459068 loss_dfl: 0.428023 loss: 1.862612 eta: 0:51:10 batch_cost: 0.9232 data_cost: 0.2462 ips: 69.3244 images/s
[03/19 23:29:33] ppdet.engine INFO: Epoch: [292] [100/458] learning_rate: 0.000533 loss_vfl: 0.958384 loss_bbox: 0.431329 loss_dfl: 0.413608 loss: 1.786235 eta: 0:50:53 batch_cost: 0.8088 data_cost: 0.0627 ips: 79.1339 images/s
[03/19 23:29:53] ppdet.engine INFO: Epoch: [292] [120/458] learning_rate: 0.000527 loss_vfl: 0.965816 loss_bbox: 0.448210 loss_dfl: 0.418599 loss: 1.818215 eta: 0:50:36 batch_cost: 0.8894 data_cost: 0.2947 ips: 71.9610 images/s
[03/19 23:30:14] ppdet.engine INFO: Epoch: [292] [140/458] learning_rate: 0.000521 loss_vfl: 0.934506 loss_bbox: 0.431723 loss_dfl: 0.407684 loss: 1.765187 eta: 0:50:19 batch_cost: 0.9559 data_cost: 0.2578 ips: 66.9558 images/s
[03/19 23:30:33] ppdet.engine INFO: Epoch: [292] [160/458] learning_rate: 0.000515 loss_vfl: 0.973470 loss_bbox: 0.440633 loss_dfl: 0.420926 loss: 1.853138 eta: 0:50:02 batch_cost: 0.8342 data_cost: 0.2265 ips: 76.7201 images/s
[03/19 23:30:53] ppdet.engine INFO: Epoch: [292] [180/458] learning_rate: 0.000510 loss_vfl: 0.980504 loss_bbox: 0.441712 loss_dfl: 0.412833 loss: 1.844925 eta: 0:49:45 batch_cost: 0.9045 data_cost: 0.2457 ips: 70.7579 images/s
[03/19 23:31:14] ppdet.engine INFO: Epoch: [292] [200/458] learning_rate: 0.000504 loss_vfl: 0.993009 loss_bbox: 0.451050 loss_dfl: 0.427203 loss: 1.868770 eta: 0:49:28 batch_cost: 0.8953 data_cost: 0.2759 ips: 71.4844 images/s
[03/19 23:31:32] ppdet.engine INFO: Epoch: [292] [220/458] learning_rate: 0.000498 loss_vfl: 0.972483 loss_bbox: 0.435350 loss_dfl: 0.404415 loss: 1.781910 eta: 0:49:11 batch_cost: 0.8428 data_cost: 0.2834 ips: 75.9363 images/s
[03/19 23:31:49] ppdet.engine INFO: Epoch: [292] [240/458] learning_rate: 0.000492 loss_vfl: 0.935747 loss_bbox: 0.425169 loss_dfl: 0.412194 loss: 1.768394 eta: 0:48:53 batch_cost: 0.7513 data_cost: 0.0836 ips: 85.1820 images/s
[03/19 23:32:08] ppdet.engine INFO: Epoch: [292] [260/458] learning_rate: 0.000486 loss_vfl: 0.976072 loss_bbox: 0.444912 loss_dfl: 0.420067 loss: 1.853271 eta: 0:48:36 batch_cost: 0.7699 data_cost: 0.0025 ips: 83.1264 images/s
[03/19 23:32:30] ppdet.engine INFO: Epoch: [292] [280/458] learning_rate: 0.000481 loss_vfl: 0.984484 loss_bbox: 0.448613 loss_dfl: 0.439205 loss: 1.893395 eta: 0:48:19 batch_cost: 0.9338 data_cost: 0.1874 ips: 68.5351 images/s
[03/19 23:32:49] ppdet.engine INFO: Epoch: [292] [300/458] learning_rate: 0.000475 loss_vfl: 0.973232 loss_bbox: 0.437516 loss_dfl: 0.420771 loss: 1.828568 eta: 0:48:02 batch_cost: 0.8152 data_cost: 0.1790 ips: 78.5129 images/s
[03/19 23:33:09] ppdet.engine INFO: Epoch: [292] [320/458] learning_rate: 0.000469 loss_vfl: 0.916540 loss_bbox: 0.443516 loss_dfl: 0.401081 loss: 1.758796 eta: 0:47:45 batch_cost: 0.8549 data_cost: 0.1168 ips: 74.8641 images/s
[03/19 23:33:29] ppdet.engine INFO: Epoch: [292] [340/458] learning_rate: 0.000464 loss_vfl: 1.013873 loss_bbox: 0.452181 loss_dfl: 0.432964 loss: 1.881978 eta: 0:47:28 batch_cost: 0.8361 data_cost: 0.1503 ips: 76.5502 images/s
[03/19 23:33:48] ppdet.engine INFO: Epoch: [292] [360/458] learning_rate: 0.000458 loss_vfl: 0.965288 loss_bbox: 0.447707 loss_dfl: 0.409912 loss: 1.827015 eta: 0:47:11 batch_cost: 0.8674 data_cost: 0.2447 ips: 73.7839 images/s
[03/19 23:34:08] ppdet.engine INFO: Epoch: [292] [380/458] learning_rate: 0.000453 loss_vfl: 0.978157 loss_bbox: 0.451940 loss_dfl: 0.426272 loss: 1.888590 eta: 0:46:53 batch_cost: 0.8350 data_cost: 0.2048 ips: 76.6480 images/s
[03/19 23:34:24] ppdet.engine INFO: Epoch: [292] [400/458] learning_rate: 0.000447 loss_vfl: 0.967716 loss_bbox: 0.435730 loss_dfl: 0.421295 loss: 1.828006 eta: 0:46:36 batch_cost: 0.7147 data_cost: 0.1224 ips: 89.5500 images/s
[03/19 23:34:38] ppdet.engine INFO: Epoch: [292] [420/458] learning_rate: 0.000442 loss_vfl: 1.031413 loss_bbox: 0.468097 loss_dfl: 0.438494 loss: 1.931166 eta: 0:46:19 batch_cost: 0.6223 data_cost: 0.1435 ips: 102.8364 images/s
[03/19 23:34:54] ppdet.engine INFO: Epoch: [292] [440/458] learning_rate: 0.000436 loss_vfl: 0.962520 loss_bbox: 0.425434 loss_dfl: 0.403774 loss: 1.789732 eta: 0:46:02 batch_cost: 0.6820 data_cost: 0.1764 ips: 93.8399 images/s
[03/19 23:35:14] ppdet.engine INFO: Epoch: [293] [  0/458] learning_rate: 0.000432 loss_vfl: 0.966640 loss_bbox: 0.430839 loss_dfl: 0.412066 loss: 1.819807 eta: 0:45:46 batch_cost: 0.9420 data_cost: 0.3806 ips: 67.9433 images/s
[03/19 23:35:32] ppdet.engine INFO: Epoch: [293] [ 20/458] learning_rate: 0.000426 loss_vfl: 0.955198 loss_bbox: 0.436738 loss_dfl: 0.417041 loss: 1.812421 eta: 0:45:29 batch_cost: 0.8010 data_cost: 0.0067 ips: 79.9037 images/s
[03/19 23:35:51] ppdet.engine INFO: Epoch: [293] [ 40/458] learning_rate: 0.000421 loss_vfl: 0.994723 loss_bbox: 0.453209 loss_dfl: 0.430724 loss: 1.862990 eta: 0:45:12 batch_cost: 0.8667 data_cost: 0.1448 ips: 73.8443 images/s
[03/19 23:36:12] ppdet.engine INFO: Epoch: [293] [ 60/458] learning_rate: 0.000416 loss_vfl: 0.991947 loss_bbox: 0.452116 loss_dfl: 0.424183 loss: 1.858976 eta: 0:44:55 batch_cost: 0.9201 data_cost: 0.2136 ips: 69.5571 images/s
[03/19 23:36:30] ppdet.engine INFO: Epoch: [293] [ 80/458] learning_rate: 0.000410 loss_vfl: 0.929667 loss_bbox: 0.412861 loss_dfl: 0.402018 loss: 1.732925 eta: 0:44:38 batch_cost: 0.7309 data_cost: 0.0737 ips: 87.5616 images/s
[03/19 23:36:51] ppdet.engine INFO: Epoch: [293] [100/458] learning_rate: 0.000405 loss_vfl: 0.927695 loss_bbox: 0.427268 loss_dfl: 0.398268 loss: 1.740830 eta: 0:44:21 batch_cost: 0.9355 data_cost: 0.0034 ips: 68.4157 images/s
[03/19 23:37:10] ppdet.engine INFO: Epoch: [293] [120/458] learning_rate: 0.000400 loss_vfl: 0.988582 loss_bbox: 0.446257 loss_dfl: 0.423142 loss: 1.837622 eta: 0:44:03 batch_cost: 0.7825 data_cost: 0.0020 ips: 81.7892 images/s
[03/19 23:37:30] ppdet.engine INFO: Epoch: [293] [140/458] learning_rate: 0.000395 loss_vfl: 0.935374 loss_bbox: 0.457709 loss_dfl: 0.419077 loss: 1.812418 eta: 0:43:46 batch_cost: 0.8973 data_cost: 0.0048 ips: 71.3234 images/s
[03/19 23:37:50] ppdet.engine INFO: Epoch: [293] [160/458] learning_rate: 0.000390 loss_vfl: 0.967508 loss_bbox: 0.445240 loss_dfl: 0.407380 loss: 1.809137 eta: 0:43:29 batch_cost: 0.8593 data_cost: 0.0042 ips: 74.4812 images/s
[03/19 23:38:08] ppdet.engine INFO: Epoch: [293] [180/458] learning_rate: 0.000384 loss_vfl: 0.928501 loss_bbox: 0.436531 loss_dfl: 0.410405 loss: 1.785926 eta: 0:43:12 batch_cost: 0.8089 data_cost: 0.0110 ips: 79.1225 images/s
[03/19 23:38:28] ppdet.engine INFO: Epoch: [293] [200/458] learning_rate: 0.000379 loss_vfl: 0.961914 loss_bbox: 0.444502 loss_dfl: 0.432106 loss: 1.884661 eta: 0:42:55 batch_cost: 0.8474 data_cost: 0.0064 ips: 75.5244 images/s
[03/19 23:38:47] ppdet.engine INFO: Epoch: [293] [220/458] learning_rate: 0.000374 loss_vfl: 0.951622 loss_bbox: 0.432167 loss_dfl: 0.407038 loss: 1.773365 eta: 0:42:38 batch_cost: 0.8138 data_cost: 0.0130 ips: 78.6446 images/s
[03/19 23:39:05] ppdet.engine INFO: Epoch: [293] [240/458] learning_rate: 0.000369 loss_vfl: 0.980363 loss_bbox: 0.456732 loss_dfl: 0.427497 loss: 1.859340 eta: 0:42:21 batch_cost: 0.7604 data_cost: 0.0008 ips: 84.1648 images/s
[03/19 23:39:26] ppdet.engine INFO: Epoch: [293] [260/458] learning_rate: 0.000364 loss_vfl: 0.964053 loss_bbox: 0.451607 loss_dfl: 0.424182 loss: 1.826056 eta: 0:42:03 batch_cost: 0.9185 data_cost: 0.0023 ips: 69.6820 images/s
[03/19 23:39:45] ppdet.engine INFO: Epoch: [293] [280/458] learning_rate: 0.000360 loss_vfl: 0.954288 loss_bbox: 0.416459 loss_dfl: 0.410522 loss: 1.793287 eta: 0:41:46 batch_cost: 0.8691 data_cost: 0.0528 ips: 73.6359 images/s
[03/19 23:40:05] ppdet.engine INFO: Epoch: [293] [300/458] learning_rate: 0.000355 loss_vfl: 0.954372 loss_bbox: 0.447468 loss_dfl: 0.427752 loss: 1.839289 eta: 0:41:29 batch_cost: 0.8628 data_cost: 0.0032 ips: 74.1744 images/s
[03/19 23:40:26] ppdet.engine INFO: Epoch: [293] [320/458] learning_rate: 0.000350 loss_vfl: 0.973606 loss_bbox: 0.456932 loss_dfl: 0.426881 loss: 1.859737 eta: 0:41:12 batch_cost: 0.9317 data_cost: 0.2326 ips: 68.6951 images/s
[03/19 23:40:46] ppdet.engine INFO: Epoch: [293] [340/458] learning_rate: 0.000345 loss_vfl: 0.997129 loss_bbox: 0.437069 loss_dfl: 0.426593 loss: 1.853116 eta: 0:40:55 batch_cost: 0.8985 data_cost: 0.2278 ips: 71.2307 images/s
[03/19 23:41:04] ppdet.engine INFO: Epoch: [293] [360/458] learning_rate: 0.000340 loss_vfl: 0.980383 loss_bbox: 0.448315 loss_dfl: 0.433351 loss: 1.828504 eta: 0:40:38 batch_cost: 0.8335 data_cost: 0.1731 ips: 76.7886 images/s
[03/19 23:41:22] ppdet.engine INFO: Epoch: [293] [380/458] learning_rate: 0.000335 loss_vfl: 0.958330 loss_bbox: 0.426351 loss_dfl: 0.420348 loss: 1.817575 eta: 0:40:21 batch_cost: 0.7670 data_cost: 0.2177 ips: 83.4406 images/s
[03/19 23:41:41] ppdet.engine INFO: Epoch: [293] [400/458] learning_rate: 0.000331 loss_vfl: 0.963522 loss_bbox: 0.409751 loss_dfl: 0.406307 loss: 1.782571 eta: 0:40:04 batch_cost: 0.8202 data_cost: 0.2543 ips: 78.0270 images/s
[03/19 23:41:56] ppdet.engine INFO: Epoch: [293] [420/458] learning_rate: 0.000326 loss_vfl: 0.985031 loss_bbox: 0.449783 loss_dfl: 0.430814 loss: 1.892862 eta: 0:39:46 batch_cost: 0.6916 data_cost: 0.1667 ips: 92.5379 images/s
[03/19 23:42:12] ppdet.engine INFO: Epoch: [293] [440/458] learning_rate: 0.000321 loss_vfl: 0.960974 loss_bbox: 0.434135 loss_dfl: 0.405462 loss: 1.779801 eta: 0:39:29 batch_cost: 0.6836 data_cost: 0.1413 ips: 93.6161 images/s
[03/19 23:42:36] ppdet.engine INFO: Epoch: [294] [  0/458] learning_rate: 0.000317 loss_vfl: 0.944605 loss_bbox: 0.421669 loss_dfl: 0.402265 loss: 1.753613 eta: 0:39:14 batch_cost: 1.1094 data_cost: 0.4279 ips: 57.6872 images/s
[03/19 23:42:54] ppdet.engine INFO: Epoch: [294] [ 20/458] learning_rate: 0.000313 loss_vfl: 1.011151 loss_bbox: 0.463732 loss_dfl: 0.431161 loss: 1.912560 eta: 0:38:57 batch_cost: 0.7923 data_cost: 0.0059 ips: 80.7750 images/s
[03/19 23:43:16] ppdet.engine INFO: Epoch: [294] [ 40/458] learning_rate: 0.000308 loss_vfl: 0.958809 loss_bbox: 0.438942 loss_dfl: 0.419831 loss: 1.818762 eta: 0:38:40 batch_cost: 0.9904 data_cost: 0.3955 ips: 64.6200 images/s
[03/19 23:43:34] ppdet.engine INFO: Epoch: [294] [ 60/458] learning_rate: 0.000303 loss_vfl: 0.964711 loss_bbox: 0.444434 loss_dfl: 0.419228 loss: 1.818901 eta: 0:38:22 batch_cost: 0.8253 data_cost: 0.1575 ips: 77.5495 images/s
[03/19 23:43:53] ppdet.engine INFO: Epoch: [294] [ 80/458] learning_rate: 0.000299 loss_vfl: 0.998183 loss_bbox: 0.446548 loss_dfl: 0.427636 loss: 1.884190 eta: 0:38:05 batch_cost: 0.8346 data_cost: 0.2935 ips: 76.6828 images/s
[03/19 23:44:16] ppdet.engine INFO: Epoch: [294] [100/458] learning_rate: 0.000294 loss_vfl: 0.938151 loss_bbox: 0.430217 loss_dfl: 0.408014 loss: 1.750460 eta: 0:37:48 batch_cost: 1.0176 data_cost: 0.4958 ips: 62.8921 images/s
[03/19 23:44:34] ppdet.engine INFO: Epoch: [294] [120/458] learning_rate: 0.000290 loss_vfl: 0.939040 loss_bbox: 0.433080 loss_dfl: 0.406819 loss: 1.771000 eta: 0:37:31 batch_cost: 0.7800 data_cost: 0.1415 ips: 82.0520 images/s
[03/19 23:44:56] ppdet.engine INFO: Epoch: [294] [140/458] learning_rate: 0.000286 loss_vfl: 0.984966 loss_bbox: 0.438446 loss_dfl: 0.426918 loss: 1.849110 eta: 0:37:14 batch_cost: 0.9958 data_cost: 0.4773 ips: 64.2727 images/s
[03/19 23:45:15] ppdet.engine INFO: Epoch: [294] [160/458] learning_rate: 0.000281 loss_vfl: 0.978189 loss_bbox: 0.469019 loss_dfl: 0.425121 loss: 1.878671 eta: 0:36:57 batch_cost: 0.8067 data_cost: 0.1800 ips: 79.3366 images/s
[03/19 23:45:34] ppdet.engine INFO: Epoch: [294] [180/458] learning_rate: 0.000277 loss_vfl: 0.981923 loss_bbox: 0.459471 loss_dfl: 0.430042 loss: 1.868096 eta: 0:36:40 batch_cost: 0.8457 data_cost: 0.2781 ips: 75.6745 images/s
[03/19 23:45:54] ppdet.engine INFO: Epoch: [294] [200/458] learning_rate: 0.000273 loss_vfl: 0.928387 loss_bbox: 0.407367 loss_dfl: 0.401903 loss: 1.748742 eta: 0:36:23 batch_cost: 0.8935 data_cost: 0.2558 ips: 71.6275 images/s
[03/19 23:46:14] ppdet.engine INFO: Epoch: [294] [220/458] learning_rate: 0.000268 loss_vfl: 0.958773 loss_bbox: 0.437657 loss_dfl: 0.408196 loss: 1.805652 eta: 0:36:05 batch_cost: 0.8931 data_cost: 0.2859 ips: 71.6594 images/s
[03/19 23:46:33] ppdet.engine INFO: Epoch: [294] [240/458] learning_rate: 0.000264 loss_vfl: 0.909567 loss_bbox: 0.422249 loss_dfl: 0.390925 loss: 1.713703 eta: 0:35:48 batch_cost: 0.8532 data_cost: 0.2304 ips: 75.0087 images/s
[03/19 23:46:50] ppdet.engine INFO: Epoch: [294] [260/458] learning_rate: 0.000260 loss_vfl: 0.964092 loss_bbox: 0.453517 loss_dfl: 0.415763 loss: 1.832150 eta: 0:35:31 batch_cost: 0.7612 data_cost: 0.2481 ips: 84.0789 images/s
[03/19 23:47:09] ppdet.engine INFO: Epoch: [294] [280/458] learning_rate: 0.000256 loss_vfl: 0.988212 loss_bbox: 0.442882 loss_dfl: 0.415624 loss: 1.840549 eta: 0:35:14 batch_cost: 0.8348 data_cost: 0.1234 ips: 76.6608 images/s
[03/19 23:47:31] ppdet.engine INFO: Epoch: [294] [300/458] learning_rate: 0.000252 loss_vfl: 0.973296 loss_bbox: 0.472839 loss_dfl: 0.427788 loss: 1.873371 eta: 0:34:57 batch_cost: 0.8241 data_cost: 0.0069 ips: 77.6633 images/s
[03/19 23:47:48] ppdet.engine INFO: Epoch: [294] [320/458] learning_rate: 0.000248 loss_vfl: 1.058941 loss_bbox: 0.473689 loss_dfl: 0.442993 loss: 1.977789 eta: 0:34:40 batch_cost: 0.7201 data_cost: 0.0071 ips: 88.8781 images/s
[03/19 23:48:10] ppdet.engine INFO: Epoch: [294] [340/458] learning_rate: 0.000244 loss_vfl: 0.962242 loss_bbox: 0.431735 loss_dfl: 0.425005 loss: 1.839194 eta: 0:34:23 batch_cost: 0.9419 data_cost: 0.2373 ips: 67.9505 images/s
[03/19 23:48:30] ppdet.engine INFO: Epoch: [294] [360/458] learning_rate: 0.000239 loss_vfl: 0.966662 loss_bbox: 0.424111 loss_dfl: 0.416850 loss: 1.824610 eta: 0:34:05 batch_cost: 0.8397 data_cost: 0.0045 ips: 76.2161 images/s
[03/19 23:48:45] ppdet.engine INFO: Epoch: [294] [380/458] learning_rate: 0.000235 loss_vfl: 0.962688 loss_bbox: 0.432825 loss_dfl: 0.417640 loss: 1.818198 eta: 0:33:48 batch_cost: 0.5914 data_cost: 0.0024 ips: 108.2137 images/s
[03/19 23:48:59] ppdet.engine INFO: Epoch: [294] [400/458] learning_rate: 0.000232 loss_vfl: 0.941315 loss_bbox: 0.442925 loss_dfl: 0.411858 loss: 1.803949 eta: 0:33:31 batch_cost: 0.6349 data_cost: 0.0376 ips: 100.8033 images/s
[03/19 23:49:17] ppdet.engine INFO: Epoch: [294] [420/458] learning_rate: 0.000228 loss_vfl: 0.998926 loss_bbox: 0.463761 loss_dfl: 0.432199 loss: 1.876946 eta: 0:33:14 batch_cost: 0.8126 data_cost: 0.0270 ips: 78.7559 images/s
[03/19 23:49:34] ppdet.engine INFO: Epoch: [294] [440/458] learning_rate: 0.000224 loss_vfl: 0.934857 loss_bbox: 0.418571 loss_dfl: 0.407730 loss: 1.762733 eta: 0:32:57 batch_cost: 0.7165 data_cost: 0.0025 ips: 89.3267 images/s
[03/19 23:49:54] ppdet.engine INFO: Epoch: [295] [  0/458] learning_rate: 0.000220 loss_vfl: 0.993334 loss_bbox: 0.460318 loss_dfl: 0.423006 loss: 1.861726 eta: 0:32:41 batch_cost: 0.9399 data_cost: 0.2695 ips: 68.0920 images/s
[03/19 23:50:16] ppdet.engine INFO: Epoch: [295] [ 20/458] learning_rate: 0.000216 loss_vfl: 0.992357 loss_bbox: 0.439123 loss_dfl: 0.417996 loss: 1.857151 eta: 0:32:24 batch_cost: 0.9798 data_cost: 0.1966 ips: 65.3220 images/s
[03/19 23:50:37] ppdet.engine INFO: Epoch: [295] [ 40/458] learning_rate: 0.000213 loss_vfl: 0.933677 loss_bbox: 0.437140 loss_dfl: 0.398012 loss: 1.778813 eta: 0:32:07 batch_cost: 0.9353 data_cost: 0.0661 ips: 68.4308 images/s
[03/19 23:50:56] ppdet.engine INFO: Epoch: [295] [ 60/458] learning_rate: 0.000209 loss_vfl: 0.954974 loss_bbox: 0.453377 loss_dfl: 0.409218 loss: 1.830442 eta: 0:31:50 batch_cost: 0.8034 data_cost: 0.0024 ips: 79.6588 images/s
[03/19 23:51:15] ppdet.engine INFO: Epoch: [295] [ 80/458] learning_rate: 0.000205 loss_vfl: 1.018431 loss_bbox: 0.453655 loss_dfl: 0.428899 loss: 1.900129 eta: 0:31:33 batch_cost: 0.7851 data_cost: 0.0195 ips: 81.5228 images/s
[03/19 23:51:32] ppdet.engine INFO: Epoch: [295] [100/458] learning_rate: 0.000201 loss_vfl: 0.983241 loss_bbox: 0.453481 loss_dfl: 0.426185 loss: 1.850501 eta: 0:31:16 batch_cost: 0.6926 data_cost: 0.0531 ips: 92.4060 images/s
[03/19 23:51:52] ppdet.engine INFO: Epoch: [295] [120/458] learning_rate: 0.000198 loss_vfl: 0.971993 loss_bbox: 0.425784 loss_dfl: 0.411318 loss: 1.790442 eta: 0:30:58 batch_cost: 0.9014 data_cost: 0.1527 ips: 70.9977 images/s
[03/19 23:52:11] ppdet.engine INFO: Epoch: [295] [140/458] learning_rate: 0.000194 loss_vfl: 0.965363 loss_bbox: 0.436935 loss_dfl: 0.417907 loss: 1.827285 eta: 0:30:41 batch_cost: 0.8160 data_cost: 0.0597 ips: 78.4325 images/s
[03/19 23:52:32] ppdet.engine INFO: Epoch: [295] [160/458] learning_rate: 0.000191 loss_vfl: 0.922311 loss_bbox: 0.441438 loss_dfl: 0.412231 loss: 1.758201 eta: 0:30:24 batch_cost: 0.8591 data_cost: 0.0017 ips: 74.4952 images/s
[03/19 23:52:50] ppdet.engine INFO: Epoch: [295] [180/458] learning_rate: 0.000187 loss_vfl: 1.019964 loss_bbox: 0.468983 loss_dfl: 0.437275 loss: 1.932257 eta: 0:30:07 batch_cost: 0.7952 data_cost: 0.0048 ips: 80.4817 images/s
[03/19 23:53:10] ppdet.engine INFO: Epoch: [295] [200/458] learning_rate: 0.000183 loss_vfl: 0.980426 loss_bbox: 0.456384 loss_dfl: 0.433399 loss: 1.869632 eta: 0:29:50 batch_cost: 0.8975 data_cost: 0.0480 ips: 71.3085 images/s
[03/19 23:53:29] ppdet.engine INFO: Epoch: [295] [220/458] learning_rate: 0.000180 loss_vfl: 0.983950 loss_bbox: 0.449059 loss_dfl: 0.427196 loss: 1.867869 eta: 0:29:33 batch_cost: 0.7869 data_cost: 0.0372 ips: 81.3344 images/s
[03/19 23:53:48] ppdet.engine INFO: Epoch: [295] [240/458] learning_rate: 0.000176 loss_vfl: 0.982626 loss_bbox: 0.468720 loss_dfl: 0.435399 loss: 1.909596 eta: 0:29:16 batch_cost: 0.8486 data_cost: 0.2304 ips: 75.4189 images/s
[03/19 23:54:08] ppdet.engine INFO: Epoch: [295] [260/458] learning_rate: 0.000173 loss_vfl: 0.997880 loss_bbox: 0.450283 loss_dfl: 0.426941 loss: 1.885038 eta: 0:28:58 batch_cost: 0.8874 data_cost: 0.2165 ips: 72.1177 images/s
[03/19 23:54:28] ppdet.engine INFO: Epoch: [295] [280/458] learning_rate: 0.000170 loss_vfl: 0.942156 loss_bbox: 0.416652 loss_dfl: 0.405027 loss: 1.763470 eta: 0:28:41 batch_cost: 0.8296 data_cost: 0.0043 ips: 77.1462 images/s
[03/19 23:54:48] ppdet.engine INFO: Epoch: [295] [300/458] learning_rate: 0.000166 loss_vfl: 0.967235 loss_bbox: 0.430931 loss_dfl: 0.422238 loss: 1.789270 eta: 0:28:24 batch_cost: 0.9177 data_cost: 0.1175 ips: 69.7379 images/s
[03/19 23:55:08] ppdet.engine INFO: Epoch: [295] [320/458] learning_rate: 0.000163 loss_vfl: 0.962271 loss_bbox: 0.430585 loss_dfl: 0.403276 loss: 1.795917 eta: 0:28:07 batch_cost: 0.8022 data_cost: 0.0243 ips: 79.7848 images/s
[03/19 23:55:26] ppdet.engine INFO: Epoch: [295] [340/458] learning_rate: 0.000160 loss_vfl: 0.924351 loss_bbox: 0.409954 loss_dfl: 0.399301 loss: 1.720837 eta: 0:27:50 batch_cost: 0.7611 data_cost: 0.0350 ips: 84.0851 images/s
[03/19 23:55:48] ppdet.engine INFO: Epoch: [295] [360/458] learning_rate: 0.000156 loss_vfl: 0.963299 loss_bbox: 0.417214 loss_dfl: 0.407515 loss: 1.780280 eta: 0:27:33 batch_cost: 0.9592 data_cost: 0.0025 ips: 66.7247 images/s
[03/19 23:56:04] ppdet.engine INFO: Epoch: [295] [380/458] learning_rate: 0.000153 loss_vfl: 0.969692 loss_bbox: 0.446580 loss_dfl: 0.429118 loss: 1.828171 eta: 0:27:16 batch_cost: 0.6765 data_cost: 0.0060 ips: 94.6066 images/s
[03/19 23:56:20] ppdet.engine INFO: Epoch: [295] [400/458] learning_rate: 0.000150 loss_vfl: 0.967394 loss_bbox: 0.441404 loss_dfl: 0.425792 loss: 1.869289 eta: 0:26:58 batch_cost: 0.7119 data_cost: 0.1915 ips: 89.8986 images/s
[03/19 23:56:34] ppdet.engine INFO: Epoch: [295] [420/458] learning_rate: 0.000147 loss_vfl: 0.981778 loss_bbox: 0.437697 loss_dfl: 0.420836 loss: 1.859700 eta: 0:26:41 batch_cost: 0.6697 data_cost: 0.1657 ips: 95.5636 images/s
[03/19 23:56:53] ppdet.engine INFO: Epoch: [295] [440/458] learning_rate: 0.000144 loss_vfl: 0.969388 loss_bbox: 0.459044 loss_dfl: 0.419997 loss: 1.833688 eta: 0:26:24 batch_cost: 0.8037 data_cost: 0.0482 ips: 79.6359 images/s
[03/19 23:57:17] ppdet.engine INFO: Epoch: [296] [  0/458] learning_rate: 0.000141 loss_vfl: 1.011527 loss_bbox: 0.460910 loss_dfl: 0.440388 loss: 1.918952 eta: 0:26:09 batch_cost: 1.0681 data_cost: 0.6232 ips: 59.9192 images/s
[03/19 23:57:37] ppdet.engine INFO: Epoch: [296] [ 20/458] learning_rate: 0.000138 loss_vfl: 0.973796 loss_bbox: 0.429793 loss_dfl: 0.422005 loss: 1.839189 eta: 0:25:52 batch_cost: 0.8619 data_cost: 0.0193 ips: 74.2543 images/s
[03/19 23:57:57] ppdet.engine INFO: Epoch: [296] [ 40/458] learning_rate: 0.000135 loss_vfl: 0.898139 loss_bbox: 0.430113 loss_dfl: 0.402629 loss: 1.736418 eta: 0:25:34 batch_cost: 0.8118 data_cost: 0.1041 ips: 78.8405 images/s
[03/19 23:58:16] ppdet.engine INFO: Epoch: [296] [ 60/458] learning_rate: 0.000132 loss_vfl: 0.917120 loss_bbox: 0.412681 loss_dfl: 0.403005 loss: 1.740106 eta: 0:25:17 batch_cost: 0.8476 data_cost: 0.3206 ips: 75.5069 images/s
[03/19 23:58:36] ppdet.engine INFO: Epoch: [296] [ 80/458] learning_rate: 0.000129 loss_vfl: 0.987251 loss_bbox: 0.447465 loss_dfl: 0.417863 loss: 1.840884 eta: 0:25:00 batch_cost: 0.8474 data_cost: 0.2261 ips: 75.5238 images/s
[03/19 23:58:56] ppdet.engine INFO: Epoch: [296] [100/458] learning_rate: 0.000126 loss_vfl: 0.927584 loss_bbox: 0.416849 loss_dfl: 0.400250 loss: 1.728550 eta: 0:24:43 batch_cost: 0.8348 data_cost: 0.2030 ips: 76.6683 images/s
[03/19 23:59:16] ppdet.engine INFO: Epoch: [296] [120/458] learning_rate: 0.000123 loss_vfl: 1.033773 loss_bbox: 0.467680 loss_dfl: 0.449248 loss: 1.948012 eta: 0:24:26 batch_cost: 0.8695 data_cost: 0.3439 ips: 73.6045 images/s
[03/19 23:59:36] ppdet.engine INFO: Epoch: [296] [140/458] learning_rate: 0.000120 loss_vfl: 0.963585 loss_bbox: 0.439458 loss_dfl: 0.418846 loss: 1.820148 eta: 0:24:09 batch_cost: 0.8552 data_cost: 0.3359 ips: 74.8340 images/s
[03/19 23:59:53] ppdet.engine INFO: Epoch: [296] [160/458] learning_rate: 0.000117 loss_vfl: 0.970100 loss_bbox: 0.448047 loss_dfl: 0.414635 loss: 1.826385 eta: 0:23:52 batch_cost: 0.7312 data_cost: 0.0188 ips: 87.5215 images/s
[03/20 00:00:13] ppdet.engine INFO: Epoch: [296] [180/458] learning_rate: 0.000115 loss_vfl: 0.939515 loss_bbox: 0.413939 loss_dfl: 0.403728 loss: 1.742424 eta: 0:23:35 batch_cost: 0.8917 data_cost: 0.0018 ips: 71.7696 images/s
[03/20 00:00:34] ppdet.engine INFO: Epoch: [296] [200/458] learning_rate: 0.000112 loss_vfl: 1.008437 loss_bbox: 0.471260 loss_dfl: 0.441642 loss: 1.946539 eta: 0:23:17 batch_cost: 0.9244 data_cost: 0.0035 ips: 69.2367 images/s
[03/20 00:00:55] ppdet.engine INFO: Epoch: [296] [220/458] learning_rate: 0.000109 loss_vfl: 0.956569 loss_bbox: 0.423509 loss_dfl: 0.404474 loss: 1.777349 eta: 0:23:00 batch_cost: 0.9119 data_cost: 0.0016 ips: 70.1863 images/s
[03/20 00:01:12] ppdet.engine INFO: Epoch: [296] [240/458] learning_rate: 0.000106 loss_vfl: 0.956405 loss_bbox: 0.440190 loss_dfl: 0.420528 loss: 1.832058 eta: 0:22:43 batch_cost: 0.7136 data_cost: 0.0065 ips: 89.6818 images/s
[03/20 00:01:33] ppdet.engine INFO: Epoch: [296] [260/458] learning_rate: 0.000104 loss_vfl: 0.954721 loss_bbox: 0.434250 loss_dfl: 0.405528 loss: 1.808606 eta: 0:22:26 batch_cost: 0.9223 data_cost: 0.0144 ips: 69.3927 images/s
[03/20 00:01:54] ppdet.engine INFO: Epoch: [296] [280/458] learning_rate: 0.000101 loss_vfl: 0.945672 loss_bbox: 0.429532 loss_dfl: 0.405131 loss: 1.787175 eta: 0:22:09 batch_cost: 0.9217 data_cost: 0.0017 ips: 69.4348 images/s
[03/20 00:02:11] ppdet.engine INFO: Epoch: [296] [300/458] learning_rate: 0.000099 loss_vfl: 0.944523 loss_bbox: 0.427797 loss_dfl: 0.409793 loss: 1.795144 eta: 0:21:52 batch_cost: 0.7387 data_cost: 0.0046 ips: 86.6439 images/s
[03/20 00:02:31] ppdet.engine INFO: Epoch: [296] [320/458] learning_rate: 0.000096 loss_vfl: 0.976354 loss_bbox: 0.448438 loss_dfl: 0.421952 loss: 1.849666 eta: 0:21:35 batch_cost: 0.8342 data_cost: 0.2429 ips: 76.7157 images/s
[03/20 00:02:50] ppdet.engine INFO: Epoch: [296] [340/458] learning_rate: 0.000093 loss_vfl: 0.975729 loss_bbox: 0.440998 loss_dfl: 0.417858 loss: 1.837155 eta: 0:21:17 batch_cost: 0.8171 data_cost: 0.2156 ips: 78.3234 images/s
[03/20 00:03:11] ppdet.engine INFO: Epoch: [296] [360/458] learning_rate: 0.000091 loss_vfl: 0.958870 loss_bbox: 0.408290 loss_dfl: 0.400884 loss: 1.766317 eta: 0:21:00 batch_cost: 0.8089 data_cost: 0.1490 ips: 79.1208 images/s
[03/20 00:03:27] ppdet.engine INFO: Epoch: [296] [380/458] learning_rate: 0.000089 loss_vfl: 0.958999 loss_bbox: 0.440378 loss_dfl: 0.414994 loss: 1.805696 eta: 0:20:43 batch_cost: 0.7160 data_cost: 0.0134 ips: 89.3794 images/s
[03/20 00:03:42] ppdet.engine INFO: Epoch: [296] [400/458] learning_rate: 0.000086 loss_vfl: 0.961332 loss_bbox: 0.444178 loss_dfl: 0.410141 loss: 1.812400 eta: 0:20:26 batch_cost: 0.6801 data_cost: 0.0010 ips: 94.0975 images/s
[03/20 00:03:57] ppdet.engine INFO: Epoch: [296] [420/458] learning_rate: 0.000084 loss_vfl: 0.992806 loss_bbox: 0.454613 loss_dfl: 0.426199 loss: 1.875161 eta: 0:20:09 batch_cost: 0.7116 data_cost: 0.1661 ips: 89.9434 images/s
[03/20 00:04:17] ppdet.engine INFO: Epoch: [296] [440/458] learning_rate: 0.000081 loss_vfl: 0.900606 loss_bbox: 0.417917 loss_dfl: 0.391930 loss: 1.707821 eta: 0:19:52 batch_cost: 0.8382 data_cost: 0.0170 ips: 76.3496 images/s
[03/20 00:04:42] ppdet.engine INFO: Epoch: [297] [  0/458] learning_rate: 0.000079 loss_vfl: 0.976722 loss_bbox: 0.455416 loss_dfl: 0.423851 loss: 1.855989 eta: 0:19:36 batch_cost: 1.2634 data_cost: 0.5375 ips: 50.6581 images/s
[03/20 00:05:01] ppdet.engine INFO: Epoch: [297] [ 20/458] learning_rate: 0.000077 loss_vfl: 0.979196 loss_bbox: 0.446491 loss_dfl: 0.429782 loss: 1.835962 eta: 0:19:19 batch_cost: 0.8346 data_cost: 0.0240 ips: 76.6814 images/s
[03/20 00:05:20] ppdet.engine INFO: Epoch: [297] [ 40/458] learning_rate: 0.000075 loss_vfl: 0.961178 loss_bbox: 0.443279 loss_dfl: 0.413351 loss: 1.815635 eta: 0:19:02 batch_cost: 0.7822 data_cost: 0.0288 ips: 81.8190 images/s
[03/20 00:05:40] ppdet.engine INFO: Epoch: [297] [ 60/458] learning_rate: 0.000073 loss_vfl: 0.943853 loss_bbox: 0.431692 loss_dfl: 0.400742 loss: 1.768526 eta: 0:18:45 batch_cost: 0.9130 data_cost: 0.0070 ips: 70.0952 images/s
[03/20 00:06:03] ppdet.engine INFO: Epoch: [297] [ 80/458] learning_rate: 0.000070 loss_vfl: 0.921093 loss_bbox: 0.416615 loss_dfl: 0.395986 loss: 1.746976 eta: 0:18:28 batch_cost: 1.1049 data_cost: 0.0028 ips: 57.9241 images/s
[03/20 00:06:23] ppdet.engine INFO: Epoch: [297] [100/458] learning_rate: 0.000068 loss_vfl: 1.001755 loss_bbox: 0.447838 loss_dfl: 0.439231 loss: 1.908081 eta: 0:18:11 batch_cost: 0.8862 data_cost: 0.0150 ips: 72.2180 images/s
[03/20 00:06:43] ppdet.engine INFO: Epoch: [297] [120/458] learning_rate: 0.000066 loss_vfl: 0.966398 loss_bbox: 0.431630 loss_dfl: 0.421969 loss: 1.828373 eta: 0:17:54 batch_cost: 0.9140 data_cost: 0.0017 ips: 70.0223 images/s
[03/20 00:07:04] ppdet.engine INFO: Epoch: [297] [140/458] learning_rate: 0.000064 loss_vfl: 0.984369 loss_bbox: 0.431029 loss_dfl: 0.417227 loss: 1.853899 eta: 0:17:37 batch_cost: 0.9612 data_cost: 0.0812 ips: 66.5867 images/s
[03/20 00:07:27] ppdet.engine INFO: Epoch: [297] [160/458] learning_rate: 0.000062 loss_vfl: 0.996719 loss_bbox: 0.430594 loss_dfl: 0.426198 loss: 1.870872 eta: 0:17:19 batch_cost: 1.0519 data_cost: 0.1673 ips: 60.8399 images/s
[03/20 00:07:47] ppdet.engine INFO: Epoch: [297] [180/458] learning_rate: 0.000060 loss_vfl: 0.993284 loss_bbox: 0.483303 loss_dfl: 0.426245 loss: 1.876381 eta: 0:17:02 batch_cost: 0.9073 data_cost: 0.2260 ips: 70.5365 images/s
[03/20 00:08:07] ppdet.engine INFO: Epoch: [297] [200/458] learning_rate: 0.000058 loss_vfl: 0.959465 loss_bbox: 0.435100 loss_dfl: 0.418570 loss: 1.815645 eta: 0:16:45 batch_cost: 0.9273 data_cost: 0.2307 ips: 69.0179 images/s
[03/20 00:08:25] ppdet.engine INFO: Epoch: [297] [220/458] learning_rate: 0.000056 loss_vfl: 0.950681 loss_bbox: 0.431820 loss_dfl: 0.412384 loss: 1.805009 eta: 0:16:28 batch_cost: 0.8543 data_cost: 0.0023 ips: 74.9110 images/s
[03/20 00:08:46] ppdet.engine INFO: Epoch: [297] [240/458] learning_rate: 0.000054 loss_vfl: 0.960418 loss_bbox: 0.457711 loss_dfl: 0.420646 loss: 1.846342 eta: 0:16:11 batch_cost: 0.9466 data_cost: 0.0280 ips: 67.6139 images/s
[03/20 00:09:08] ppdet.engine INFO: Epoch: [297] [260/458] learning_rate: 0.000052 loss_vfl: 0.956243 loss_bbox: 0.450436 loss_dfl: 0.415105 loss: 1.813755 eta: 0:15:54 batch_cost: 0.9917 data_cost: 0.0448 ips: 64.5374 images/s
[03/20 00:09:29] ppdet.engine INFO: Epoch: [297] [280/458] learning_rate: 0.000050 loss_vfl: 0.954397 loss_bbox: 0.457651 loss_dfl: 0.418636 loss: 1.832164 eta: 0:15:37 batch_cost: 0.9718 data_cost: 0.0029 ips: 65.8556 images/s
[03/20 00:09:49] ppdet.engine INFO: Epoch: [297] [300/458] learning_rate: 0.000048 loss_vfl: 0.963472 loss_bbox: 0.427857 loss_dfl: 0.414421 loss: 1.832681 eta: 0:15:20 batch_cost: 0.8716 data_cost: 0.0025 ips: 73.4320 images/s
[03/20 00:10:07] ppdet.engine INFO: Epoch: [297] [320/458] learning_rate: 0.000047 loss_vfl: 1.011814 loss_bbox: 0.451314 loss_dfl: 0.415343 loss: 1.870104 eta: 0:15:02 batch_cost: 0.8003 data_cost: 0.0009 ips: 79.9687 images/s
[03/20 00:10:22] ppdet.engine INFO: Epoch: [297] [340/458] learning_rate: 0.000045 loss_vfl: 1.005168 loss_bbox: 0.481353 loss_dfl: 0.448412 loss: 1.973602 eta: 0:14:45 batch_cost: 0.6957 data_cost: 0.0374 ips: 91.9967 images/s
[03/20 00:10:38] ppdet.engine INFO: Epoch: [297] [360/458] learning_rate: 0.000043 loss_vfl: 0.939512 loss_bbox: 0.413251 loss_dfl: 0.394738 loss: 1.739245 eta: 0:14:28 batch_cost: 0.7341 data_cost: 0.0295 ips: 87.1767 images/s
[03/20 00:10:59] ppdet.engine INFO: Epoch: [297] [380/458] learning_rate: 0.000042 loss_vfl: 0.953016 loss_bbox: 0.410791 loss_dfl: 0.410761 loss: 1.778159 eta: 0:14:11 batch_cost: 0.9626 data_cost: 0.1650 ips: 66.4834 images/s
[03/20 00:11:20] ppdet.engine INFO: Epoch: [297] [400/458] learning_rate: 0.000040 loss_vfl: 0.917003 loss_bbox: 0.434756 loss_dfl: 0.396914 loss: 1.738433 eta: 0:13:54 batch_cost: 0.9250 data_cost: 0.0515 ips: 69.1901 images/s
[03/20 00:11:41] ppdet.engine INFO: Epoch: [297] [420/458] learning_rate: 0.000038 loss_vfl: 0.918516 loss_bbox: 0.422965 loss_dfl: 0.395492 loss: 1.735996 eta: 0:13:37 batch_cost: 0.9721 data_cost: 0.2354 ips: 65.8377 images/s
[03/20 00:12:01] ppdet.engine INFO: Epoch: [297] [440/458] learning_rate: 0.000037 loss_vfl: 1.011848 loss_bbox: 0.453541 loss_dfl: 0.432084 loss: 1.882702 eta: 0:13:20 batch_cost: 0.9322 data_cost: 0.3074 ips: 68.6533 images/s
[03/20 00:12:22] ppdet.engine INFO: Epoch: [298] [  0/458] learning_rate: 0.000035 loss_vfl: 1.005527 loss_bbox: 0.451610 loss_dfl: 0.442745 loss: 1.885795 eta: 0:13:04 batch_cost: 0.9838 data_cost: 0.4964 ips: 65.0566 images/s
[03/20 00:12:40] ppdet.engine INFO: Epoch: [298] [ 20/458] learning_rate: 0.000034 loss_vfl: 0.964920 loss_bbox: 0.436009 loss_dfl: 0.409850 loss: 1.805502 eta: 0:12:47 batch_cost: 0.7779 data_cost: 0.0081 ips: 82.2676 images/s
[03/20 00:13:01] ppdet.engine INFO: Epoch: [298] [ 40/458] learning_rate: 0.000032 loss_vfl: 0.990288 loss_bbox: 0.433834 loss_dfl: 0.417810 loss: 1.840853 eta: 0:12:30 batch_cost: 0.9617 data_cost: 0.0089 ips: 66.5498 images/s
[03/20 00:13:23] ppdet.engine INFO: Epoch: [298] [ 60/458] learning_rate: 0.000031 loss_vfl: 0.970232 loss_bbox: 0.446682 loss_dfl: 0.425823 loss: 1.848342 eta: 0:12:13 batch_cost: 0.9733 data_cost: 0.0084 ips: 65.7530 images/s
[03/20 00:13:43] ppdet.engine INFO: Epoch: [298] [ 80/458] learning_rate: 0.000029 loss_vfl: 0.937544 loss_bbox: 0.428736 loss_dfl: 0.416918 loss: 1.780204 eta: 0:11:56 batch_cost: 0.9416 data_cost: 0.0003 ips: 67.9684 images/s
[03/20 00:14:04] ppdet.engine INFO: Epoch: [298] [100/458] learning_rate: 0.000028 loss_vfl: 0.983415 loss_bbox: 0.474321 loss_dfl: 0.439427 loss: 1.894560 eta: 0:11:39 batch_cost: 0.9019 data_cost: 0.0047 ips: 70.9614 images/s
[03/20 00:14:26] ppdet.engine INFO: Epoch: [298] [120/458] learning_rate: 0.000027 loss_vfl: 0.973391 loss_bbox: 0.448531 loss_dfl: 0.426888 loss: 1.835788 eta: 0:11:21 batch_cost: 1.0219 data_cost: 0.0036 ips: 62.6277 images/s
[03/20 00:14:46] ppdet.engine INFO: Epoch: [298] [140/458] learning_rate: 0.000025 loss_vfl: 0.938408 loss_bbox: 0.415862 loss_dfl: 0.407098 loss: 1.753151 eta: 0:11:04 batch_cost: 0.9153 data_cost: 0.0028 ips: 69.9218 images/s
[03/20 00:15:07] ppdet.engine INFO: Epoch: [298] [160/458] learning_rate: 0.000024 loss_vfl: 0.963480 loss_bbox: 0.437094 loss_dfl: 0.409322 loss: 1.802109 eta: 0:10:47 batch_cost: 0.9247 data_cost: 0.0080 ips: 69.2092 images/s
[03/20 00:15:29] ppdet.engine INFO: Epoch: [298] [180/458] learning_rate: 0.000023 loss_vfl: 0.936716 loss_bbox: 0.418356 loss_dfl: 0.407888 loss: 1.757632 eta: 0:10:30 batch_cost: 1.0308 data_cost: 0.0027 ips: 62.0903 images/s
[03/20 00:15:49] ppdet.engine INFO: Epoch: [298] [200/458] learning_rate: 0.000022 loss_vfl: 0.999923 loss_bbox: 0.446436 loss_dfl: 0.427232 loss: 1.854608 eta: 0:10:13 batch_cost: 0.8842 data_cost: 0.0022 ips: 72.3846 images/s
[03/20 00:16:08] ppdet.engine INFO: Epoch: [298] [220/458] learning_rate: 0.000020 loss_vfl: 0.928577 loss_bbox: 0.417547 loss_dfl: 0.410041 loss: 1.782626 eta: 0:09:56 batch_cost: 0.8591 data_cost: 0.0030 ips: 74.4951 images/s
[03/20 00:16:26] ppdet.engine INFO: Epoch: [298] [240/458] learning_rate: 0.000019 loss_vfl: 0.957564 loss_bbox: 0.454051 loss_dfl: 0.421928 loss: 1.834217 eta: 0:09:39 batch_cost: 0.7837 data_cost: 0.0082 ips: 81.6664 images/s
[03/20 00:16:48] ppdet.engine INFO: Epoch: [298] [260/458] learning_rate: 0.000018 loss_vfl: 0.938360 loss_bbox: 0.430779 loss_dfl: 0.408086 loss: 1.775045 eta: 0:09:22 batch_cost: 0.9801 data_cost: 0.0031 ips: 65.3021 images/s
[03/20 00:17:02] ppdet.engine INFO: Epoch: [298] [280/458] learning_rate: 0.000017 loss_vfl: 0.998995 loss_bbox: 0.453014 loss_dfl: 0.430704 loss: 1.905502 eta: 0:09:04 batch_cost: 0.6359 data_cost: 0.0025 ips: 100.6396 images/s
[03/20 00:17:16] ppdet.engine INFO: Epoch: [298] [300/458] learning_rate: 0.000016 loss_vfl: 0.986361 loss_bbox: 0.441174 loss_dfl: 0.420977 loss: 1.833837 eta: 0:08:47 batch_cost: 0.6526 data_cost: 0.0031 ips: 98.0735 images/s
[03/20 00:17:35] ppdet.engine INFO: Epoch: [298] [320/458] learning_rate: 0.000015 loss_vfl: 0.987428 loss_bbox: 0.454975 loss_dfl: 0.428826 loss: 1.888219 eta: 0:08:30 batch_cost: 0.8444 data_cost: 0.0025 ips: 75.7965 images/s
[03/20 00:17:56] ppdet.engine INFO: Epoch: [298] [340/458] learning_rate: 0.000014 loss_vfl: 0.990932 loss_bbox: 0.435450 loss_dfl: 0.429685 loss: 1.851527 eta: 0:08:13 batch_cost: 0.9267 data_cost: 0.0028 ips: 69.0591 images/s
[03/20 00:18:16] ppdet.engine INFO: Epoch: [298] [360/458] learning_rate: 0.000013 loss_vfl: 0.988156 loss_bbox: 0.450411 loss_dfl: 0.429117 loss: 1.866537 eta: 0:07:56 batch_cost: 0.8835 data_cost: 0.0014 ips: 72.4370 images/s
[03/20 00:18:35] ppdet.engine INFO: Epoch: [298] [380/458] learning_rate: 0.000012 loss_vfl: 0.959761 loss_bbox: 0.448344 loss_dfl: 0.412773 loss: 1.789013 eta: 0:07:39 batch_cost: 0.9086 data_cost: 0.0018 ips: 70.4364 images/s
[03/20 00:18:57] ppdet.engine INFO: Epoch: [298] [400/458] learning_rate: 0.000011 loss_vfl: 0.970621 loss_bbox: 0.457594 loss_dfl: 0.427570 loss: 1.860703 eta: 0:07:22 batch_cost: 0.9934 data_cost: 0.0043 ips: 64.4230 images/s
[03/20 00:19:15] ppdet.engine INFO: Epoch: [298] [420/458] learning_rate: 0.000010 loss_vfl: 1.005123 loss_bbox: 0.455798 loss_dfl: 0.432417 loss: 1.892122 eta: 0:07:04 batch_cost: 0.7933 data_cost: 0.0027 ips: 80.6715 images/s
[03/20 00:19:36] ppdet.engine INFO: Epoch: [298] [440/458] learning_rate: 0.000010 loss_vfl: 0.950764 loss_bbox: 0.417664 loss_dfl: 0.408620 loss: 1.788550 eta: 0:06:47 batch_cost: 0.9263 data_cost: 0.0016 ips: 69.0950 images/s
[03/20 00:19:59] ppdet.engine INFO: Epoch: [299] [  0/458] learning_rate: 0.000009 loss_vfl: 0.952174 loss_bbox: 0.415955 loss_dfl: 0.411289 loss: 1.789736 eta: 0:06:32 batch_cost: 1.0958 data_cost: 0.2844 ips: 58.4043 images/s
[03/20 00:20:20] ppdet.engine INFO: Epoch: [299] [ 20/458] learning_rate: 0.000008 loss_vfl: 1.003392 loss_bbox: 0.445454 loss_dfl: 0.437034 loss: 1.883523 eta: 0:06:15 batch_cost: 0.9382 data_cost: 0.0016 ips: 68.2175 images/s
INFO 2022-03-20 00:30:24,660 launch.py:311] Local processes completed.
[03/20 00:20:41] ppdet.engine INFO: Epoch: [299] [ 40/458] learning_rate: 0.000007 loss_vfl: 0.983796 loss_bbox: 0.447391 loss_dfl: 0.424209 loss: 1.885201 eta: 0:05:58 batch_cost: 0.9815 data_cost: 0.0019 ips: 65.2059 images/s
[03/20 00:21:01] ppdet.engine INFO: Epoch: [299] [ 60/458] learning_rate: 0.000007 loss_vfl: 0.950129 loss_bbox: 0.417485 loss_dfl: 0.409238 loss: 1.765544 eta: 0:05:41 batch_cost: 0.8959 data_cost: 0.0048 ips: 71.4374 images/s
[03/20 00:21:23] ppdet.engine INFO: Epoch: [299] [ 80/458] learning_rate: 0.000006 loss_vfl: 0.977036 loss_bbox: 0.433403 loss_dfl: 0.419105 loss: 1.798190 eta: 0:05:23 batch_cost: 0.9492 data_cost: 0.0126 ips: 67.4285 images/s
[03/20 00:21:42] ppdet.engine INFO: Epoch: [299] [100/458] learning_rate: 0.000005 loss_vfl: 0.961990 loss_bbox: 0.450808 loss_dfl: 0.416456 loss: 1.803610 eta: 0:05:06 batch_cost: 0.8393 data_cost: 0.0029 ips: 76.2574 images/s
[03/20 00:22:04] ppdet.engine INFO: Epoch: [299] [120/458] learning_rate: 0.000005 loss_vfl: 0.953020 loss_bbox: 0.428785 loss_dfl: 0.404000 loss: 1.764225 eta: 0:04:49 batch_cost: 1.0074 data_cost: 0.0039 ips: 63.5302 images/s
[03/20 00:22:23] ppdet.engine INFO: Epoch: [299] [140/458] learning_rate: 0.000004 loss_vfl: 0.935727 loss_bbox: 0.438864 loss_dfl: 0.416521 loss: 1.833669 eta: 0:04:32 batch_cost: 0.8859 data_cost: 0.0009 ips: 72.2445 images/s
[03/20 00:22:43] ppdet.engine INFO: Epoch: [299] [160/458] learning_rate: 0.000004 loss_vfl: 0.964296 loss_bbox: 0.455568 loss_dfl: 0.434047 loss: 1.878189 eta: 0:04:15 batch_cost: 0.8836 data_cost: 0.0038 ips: 72.4277 images/s
[03/20 00:23:05] ppdet.engine INFO: Epoch: [299] [180/458] learning_rate: 0.000003 loss_vfl: 0.937199 loss_bbox: 0.432495 loss_dfl: 0.405163 loss: 1.769572 eta: 0:03:58 batch_cost: 0.9603 data_cost: 0.0057 ips: 66.6480 images/s
[03/20 00:23:25] ppdet.engine INFO: Epoch: [299] [200/458] learning_rate: 0.000003 loss_vfl: 0.999098 loss_bbox: 0.453393 loss_dfl: 0.427284 loss: 1.842262 eta: 0:03:41 batch_cost: 0.8989 data_cost: 0.0042 ips: 71.1961 images/s
[03/20 00:23:41] ppdet.engine INFO: Epoch: [299] [220/458] learning_rate: 0.000002 loss_vfl: 0.984198 loss_bbox: 0.458345 loss_dfl: 0.428547 loss: 1.904001 eta: 0:03:23 batch_cost: 0.7018 data_cost: 0.0064 ips: 91.1925 images/s
[03/20 00:23:58] ppdet.engine INFO: Epoch: [299] [240/458] learning_rate: 0.000002 loss_vfl: 1.034026 loss_bbox: 0.471201 loss_dfl: 0.454030 loss: 1.978835 eta: 0:03:06 batch_cost: 0.7907 data_cost: 0.0015 ips: 80.9417 images/s
[03/20 00:24:13] ppdet.engine INFO: Epoch: [299] [260/458] learning_rate: 0.000002 loss_vfl: 0.988561 loss_bbox: 0.441026 loss_dfl: 0.423332 loss: 1.837011 eta: 0:02:49 batch_cost: 0.7063 data_cost: 0.0018 ips: 90.6069 images/s
[03/20 00:24:32] ppdet.engine INFO: Epoch: [299] [280/458] learning_rate: 0.000001 loss_vfl: 0.995310 loss_bbox: 0.454476 loss_dfl: 0.435097 loss: 1.880358 eta: 0:02:32 batch_cost: 0.8272 data_cost: 0.0034 ips: 77.3692 images/s
[03/20 00:24:53] ppdet.engine INFO: Epoch: [299] [300/458] learning_rate: 0.000001 loss_vfl: 0.994562 loss_bbox: 0.439370 loss_dfl: 0.423749 loss: 1.831070 eta: 0:02:15 batch_cost: 0.9743 data_cost: 0.0021 ips: 65.6911 images/s
[03/20 00:25:13] ppdet.engine INFO: Epoch: [299] [320/458] learning_rate: 0.000001 loss_vfl: 0.965816 loss_bbox: 0.429194 loss_dfl: 0.411342 loss: 1.799658 eta: 0:01:58 batch_cost: 0.9463 data_cost: 0.0006 ips: 67.6294 images/s
[03/20 00:25:32] ppdet.engine INFO: Epoch: [299] [340/458] learning_rate: 0.000001 loss_vfl: 0.962814 loss_bbox: 0.438158 loss_dfl: 0.410658 loss: 1.804533 eta: 0:01:41 batch_cost: 0.8446 data_cost: 0.0028 ips: 75.7717 images/s
[03/20 00:25:56] ppdet.engine INFO: Epoch: [299] [360/458] learning_rate: 0.000000 loss_vfl: 0.977876 loss_bbox: 0.429807 loss_dfl: 0.416149 loss: 1.816286 eta: 0:01:23 batch_cost: 1.1055 data_cost: 0.0019 ips: 57.8930 images/s
[03/20 00:26:16] ppdet.engine INFO: Epoch: [299] [380/458] learning_rate: 0.000000 loss_vfl: 0.949598 loss_bbox: 0.428809 loss_dfl: 0.410427 loss: 1.806062 eta: 0:01:06 batch_cost: 0.8956 data_cost: 0.0035 ips: 71.4574 images/s
[03/20 00:26:34] ppdet.engine INFO: Epoch: [299] [400/458] learning_rate: 0.000000 loss_vfl: 0.993194 loss_bbox: 0.463817 loss_dfl: 0.440657 loss: 1.914668 eta: 0:00:49 batch_cost: 0.8138 data_cost: 0.0017 ips: 78.6415 images/s
[03/20 00:26:55] ppdet.engine INFO: Epoch: [299] [420/458] learning_rate: 0.000000 loss_vfl: 0.968215 loss_bbox: 0.452019 loss_dfl: 0.420253 loss: 1.834590 eta: 0:00:32 batch_cost: 0.9428 data_cost: 0.0006 ips: 67.8809 images/s
[03/20 00:27:15] ppdet.engine INFO: Epoch: [299] [440/458] learning_rate: 0.000000 loss_vfl: 0.977172 loss_bbox: 0.431195 loss_dfl: 0.419484 loss: 1.823274 eta: 0:00:15 batch_cost: 0.9225 data_cost: 0.0010 ips: 69.3748 images/s
[03/20 00:27:27] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_320_coco
[03/20 00:27:28] ppdet.engine INFO: Eval iter: 0
[03/20 00:27:41] ppdet.engine INFO: Eval iter: 100
[03/20 00:27:50] ppdet.engine INFO: Eval iter: 200
[03/20 00:27:58] ppdet.engine INFO: Eval iter: 300
[03/20 00:28:07] ppdet.engine INFO: Eval iter: 400
[03/20 00:28:15] ppdet.engine INFO: Eval iter: 500
[03/20 00:28:24] ppdet.engine INFO: Eval iter: 600
[03/20 00:28:38] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.58s)
creating index...
index created!
[03/20 00:28:38] 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=78.62s).
Accumulating evaluation results...
DONE (t=15.62s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.235
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.361
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.245
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.064
 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 ] = 0.410
 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 ] = 0.378
 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 ] = 0.124
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.440
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.670
[03/20 00:30:19] ppdet.engine INFO: Total sample number: 4952, averge FPS: 84.40898445415968
[03/20 00:30:19] ppdet.engine INFO: Best test bbox ap is 0.235.