/usr/local/lib/python3.7/site-packages/setuptools/depends.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp WARNING 2022-03-17 10:55:15,955 launch.py:423] Not found distinct arguments and compiled with cuda or xpu. Default use collective mode INFO 2022-03-17 10:55:15,955 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 2022-03-17 10:55:15,957 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 2022-03-17 10:55:15,957 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_416_coco.yml', '--eval'] worker_num: None workers: ------------------------------------------------ launch train in GPU mode! launch proc_id:14749 idx:0 launch proc_id:14752 idx:1 launch proc_id:14755 idx:2 launch proc_id:14758 idx:3 /usr/local/lib/python3.7/site-packages/setuptools/depends.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp Warning: import ppdet from source directory without installing, run 'python setup.py install' to install ppdet firstly server not ready, wait 3 sec to retry... not ready endpoints:['127.0.0.1:60009', '127.0.0.1:60010', '127.0.0.1:60011'] I0317 10:55:22.761351 14749 nccl_context.cc:74] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0 W0317 10:55:23.610723 14749 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 11.2, Runtime API Version: 10.1 W0317 10:55:23.615270 14749 device_context.cc:465] device: 0, cuDNN Version: 7.6. loading annotations into memory... Done (t=22.13s) creating index... index created! [03/17 10:55:57] 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. [03/17 10:56:14] 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. [03/17 10:56:23] ppdet.utils.checkpoint INFO: ['last_conv.weight'] in pretrained weight is not used in the model, and its will not be loaded [03/17 10:56:23] 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 [03/17 10:56:23] 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 [03/17 10:56:23] 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 [03/17 10:56:23] 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 [03/17 10:56:23] 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 [03/17 10:56:23] 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 [03/17 10:56:23] 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 [03/17 10:56:23] 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 [03/17 10:56:23] ppdet.utils.checkpoint INFO: Finish loading model weights: /root/.cache/paddle/weights/LCNet_x0_35_pretrained.pdparams [03/17 10:56:32] ppdet.engine INFO: Epoch: [0] [ 0/523] learning_rate: 0.028000 loss_vfl: 7.874563 loss_bbox: 1.256756 loss_dfl: 0.932828 loss: 10.064147 eta: 16 days, 15:05:16 batch_cost: 9.1569 data_cost: 4.5872 ips: 6.1156 images/s [03/17 10:56:53] ppdet.engine INFO: Epoch: [0] [ 20/523] learning_rate: 0.044800 loss_vfl: 2.379388 loss_bbox: 1.446449 loss_dfl: 0.988509 loss: 4.903490 eta: 2 days, 9:03:03 batch_cost: 0.9168 data_cost: 0.0043 ips: 61.0828 images/s [03/17 10:57:18] ppdet.engine INFO: Epoch: [0] [ 40/523] learning_rate: 0.061600 loss_vfl: 1.848392 loss_bbox: 1.331210 loss_dfl: 0.882577 loss: 4.023876 eta: 2 days, 2:18:26 batch_cost: 0.9922 data_cost: 0.0017 ips: 56.4376 images/s [03/17 10:57:39] ppdet.engine INFO: Epoch: [0] [ 60/523] learning_rate: 0.078400 loss_vfl: 1.804954 loss_bbox: 1.306311 loss_dfl: 0.839101 loss: 3.919403 eta: 1 day, 23:15:11 batch_cost: 0.9412 data_cost: 0.0075 ips: 59.4987 images/s [03/17 10:57:59] ppdet.engine INFO: Epoch: [0] [ 80/523] learning_rate: 0.095200 loss_vfl: 1.704087 loss_bbox: 1.174122 loss_dfl: 0.761247 loss: 3.648790 eta: 1 day, 21:08:37 batch_cost: 0.8891 data_cost: 0.0032 ips: 62.9879 images/s [03/17 10:58:17] ppdet.engine INFO: Epoch: [0] [100/523] learning_rate: 0.112000 loss_vfl: 1.640215 loss_bbox: 1.100350 loss_dfl: 0.716264 loss: 3.477761 eta: 1 day, 18:39:59 batch_cost: 0.7498 data_cost: 0.0033 ips: 74.6865 images/s [03/17 10:58:41] ppdet.engine INFO: Epoch: [0] [120/523] learning_rate: 0.128800 loss_vfl: 1.811488 loss_bbox: 1.111333 loss_dfl: 0.724866 loss: 3.647894 eta: 1 day, 18:49:16 batch_cost: 1.0018 data_cost: 0.0093 ips: 55.8989 images/s [03/17 10:59:04] ppdet.engine INFO: Epoch: [0] [140/523] learning_rate: 0.145600 loss_vfl: 1.764841 loss_bbox: 1.136525 loss_dfl: 0.739489 loss: 3.618904 eta: 1 day, 18:41:23 batch_cost: 0.9629 data_cost: 0.0072 ips: 58.1574 images/s [03/17 10:59:27] ppdet.engine INFO: Epoch: [0] [160/523] learning_rate: 0.162400 loss_vfl: 1.693315 loss_bbox: 1.015392 loss_dfl: 0.664410 loss: 3.370507 eta: 1 day, 18:33:18 batch_cost: 0.9565 data_cost: 0.0044 ips: 58.5494 images/s [03/17 10:59:51] ppdet.engine INFO: Epoch: [0] [180/523] learning_rate: 0.179200 loss_vfl: 1.756006 loss_bbox: 1.011263 loss_dfl: 0.684621 loss: 3.477903 eta: 1 day, 18:52:12 batch_cost: 1.0440 data_cost: 0.0057 ips: 53.6390 images/s [03/17 11:00:14] ppdet.engine INFO: Epoch: [0] [200/523] learning_rate: 0.196000 loss_vfl: 1.745026 loss_bbox: 0.986765 loss_dfl: 0.661526 loss: 3.459775 eta: 1 day, 18:59:04 batch_cost: 1.0125 data_cost: 0.0013 ips: 55.3102 images/s [03/17 11:00:36] ppdet.engine INFO: Epoch: [0] [220/523] learning_rate: 0.212800 loss_vfl: 1.802279 loss_bbox: 0.998526 loss_dfl: 0.675912 loss: 3.483407 eta: 1 day, 18:53:08 batch_cost: 0.9638 data_cost: 0.0113 ips: 58.1047 images/s [03/17 11:01:00] ppdet.engine INFO: Epoch: [0] [240/523] learning_rate: 0.229600 loss_vfl: 1.799843 loss_bbox: 0.937820 loss_dfl: 0.644869 loss: 3.394345 eta: 1 day, 18:57:25 batch_cost: 1.0067 data_cost: 0.0062 ips: 55.6296 images/s [03/17 11:01:22] ppdet.engine INFO: Epoch: [0] [260/523] learning_rate: 0.246400 loss_vfl: 1.780994 loss_bbox: 0.942364 loss_dfl: 0.640280 loss: 3.383298 eta: 1 day, 18:54:37 batch_cost: 0.9748 data_cost: 0.0044 ips: 57.4485 images/s [03/17 11:01:46] ppdet.engine INFO: Epoch: [0] [280/523] learning_rate: 0.263200 loss_vfl: 1.794032 loss_bbox: 0.943316 loss_dfl: 0.639128 loss: 3.385475 eta: 1 day, 19:12:02 batch_cost: 1.0818 data_cost: 0.0033 ips: 51.7670 images/s [03/17 11:02:08] ppdet.engine INFO: Epoch: [0] [300/523] learning_rate: 0.280000 loss_vfl: 1.728019 loss_bbox: 0.927511 loss_dfl: 0.634074 loss: 3.321671 eta: 1 day, 19:07:29 batch_cost: 0.9687 data_cost: 0.0037 ips: 57.8116 images/s [03/17 11:02:28] ppdet.engine INFO: Epoch: [0] [320/523] learning_rate: 0.280000 loss_vfl: 1.677149 loss_bbox: 0.905944 loss_dfl: 0.612174 loss: 3.198626 eta: 1 day, 18:48:28 batch_cost: 0.8764 data_cost: 0.0026 ips: 63.8961 images/s [03/17 11:02:47] ppdet.engine INFO: Epoch: [0] [340/523] learning_rate: 0.280000 loss_vfl: 1.653891 loss_bbox: 0.860848 loss_dfl: 0.593403 loss: 3.130315 eta: 1 day, 18:26:45 batch_cost: 0.8444 data_cost: 0.0045 ips: 66.3175 images/s [03/17 11:03:09] ppdet.engine INFO: Epoch: [0] [360/523] learning_rate: 0.280000 loss_vfl: 1.707216 loss_bbox: 0.882516 loss_dfl: 0.603822 loss: 3.198781 eta: 1 day, 18:25:07 batch_cost: 0.9670 data_cost: 0.0028 ips: 57.9112 images/s [03/17 11:03:31] ppdet.engine INFO: Epoch: [0] [380/523] learning_rate: 0.280000 loss_vfl: 1.637841 loss_bbox: 0.849159 loss_dfl: 0.573363 loss: 3.081795 eta: 1 day, 18:19:56 batch_cost: 0.9400 data_cost: 0.0067 ips: 59.5752 images/s [03/17 11:03:53] ppdet.engine INFO: Epoch: [0] [400/523] learning_rate: 0.280000 loss_vfl: 1.723395 loss_bbox: 0.888381 loss_dfl: 0.593932 loss: 3.189574 eta: 1 day, 18:25:46 batch_cost: 1.0210 data_cost: 0.0041 ips: 54.8496 images/s [03/17 11:04:17] ppdet.engine INFO: Epoch: [0] [420/523] learning_rate: 0.280000 loss_vfl: 1.825432 loss_bbox: 0.884094 loss_dfl: 0.622049 loss: 3.331575 eta: 1 day, 18:25:30 batch_cost: 0.9765 data_cost: 0.0047 ips: 57.3475 images/s [03/17 11:04:39] ppdet.engine INFO: Epoch: [0] [440/523] learning_rate: 0.279999 loss_vfl: 1.727769 loss_bbox: 0.890331 loss_dfl: 0.601762 loss: 3.245853 eta: 1 day, 18:18:58 batch_cost: 0.9237 data_cost: 0.0125 ips: 60.6286 images/s [03/17 11:05:01] ppdet.engine INFO: Epoch: [0] [460/523] learning_rate: 0.279999 loss_vfl: 1.811832 loss_bbox: 0.895533 loss_dfl: 0.616963 loss: 3.331054 eta: 1 day, 18:15:25 batch_cost: 0.9451 data_cost: 0.0071 ips: 59.2518 images/s [03/17 11:05:25] ppdet.engine INFO: Epoch: [0] [480/523] learning_rate: 0.279999 loss_vfl: 1.794938 loss_bbox: 0.943209 loss_dfl: 0.633156 loss: 3.417660 eta: 1 day, 18:25:30 batch_cost: 1.0683 data_cost: 0.0060 ips: 52.4173 images/s [03/17 11:05:48] ppdet.engine INFO: Epoch: [0] [500/523] learning_rate: 0.279999 loss_vfl: 1.661446 loss_bbox: 0.846302 loss_dfl: 0.579468 loss: 3.089215 eta: 1 day, 18:22:59 batch_cost: 0.9554 data_cost: 0.0025 ips: 58.6128 images/s [03/17 11:06:05] ppdet.engine INFO: Epoch: [0] [520/523] learning_rate: 0.279999 loss_vfl: 1.691546 loss_bbox: 0.850192 loss_dfl: 0.600068 loss: 3.182008 eta: 1 day, 17:59:03 batch_cost: 0.7395 data_cost: 0.0011 ips: 75.7251 images/s [03/17 11:06:17] ppdet.engine INFO: Epoch: [1] [ 0/523] learning_rate: 0.279999 loss_vfl: 1.657031 loss_bbox: 0.828276 loss_dfl: 0.579518 loss: 3.074015 eta: 1 day, 18:40:32 batch_cost: 1.1466 data_cost: 0.3614 ips: 48.8380 images/s [03/17 11:06:42] ppdet.engine INFO: Epoch: [1] [ 20/523] learning_rate: 0.279998 loss_vfl: 1.765007 loss_bbox: 0.899400 loss_dfl: 0.608394 loss: 3.256145 eta: 1 day, 18:46:56 batch_cost: 1.0528 data_cost: 0.0028 ips: 53.1911 images/s [03/17 11:07:00] ppdet.engine INFO: Epoch: [1] [ 40/523] learning_rate: 0.279998 loss_vfl: 1.631719 loss_bbox: 0.823548 loss_dfl: 0.563325 loss: 3.042401 eta: 1 day, 18:27:08 batch_cost: 0.7743 data_cost: 0.0038 ips: 72.3266 images/s [03/17 11:07:19] ppdet.engine INFO: Epoch: [1] [ 60/523] learning_rate: 0.279998 loss_vfl: 1.623786 loss_bbox: 0.805497 loss_dfl: 0.557791 loss: 2.989209 eta: 1 day, 18:07:24 batch_cost: 0.7599 data_cost: 0.0046 ips: 73.6921 images/s [03/17 11:07:40] ppdet.engine INFO: Epoch: [1] [ 80/523] learning_rate: 0.279997 loss_vfl: 1.648278 loss_bbox: 0.825055 loss_dfl: 0.571388 loss: 3.027886 eta: 1 day, 18:01:31 batch_cost: 0.9058 data_cost: 0.0092 ips: 61.8246 images/s [03/17 11:08:02] ppdet.engine INFO: Epoch: [1] [100/523] learning_rate: 0.279997 loss_vfl: 1.636154 loss_bbox: 0.800660 loss_dfl: 0.558832 loss: 2.967817 eta: 1 day, 17:58:20 batch_cost: 0.9336 data_cost: 0.0026 ips: 59.9812 images/s [03/17 11:08:25] ppdet.engine INFO: Epoch: [1] [120/523] learning_rate: 0.279997 loss_vfl: 1.544021 loss_bbox: 0.772395 loss_dfl: 0.527244 loss: 2.828084 eta: 1 day, 18:04:42 batch_cost: 1.0495 data_cost: 0.0056 ips: 53.3571 images/s [03/17 11:08:47] ppdet.engine INFO: Epoch: [1] [140/523] learning_rate: 0.279996 loss_vfl: 1.633156 loss_bbox: 0.816407 loss_dfl: 0.564981 loss: 3.026390 eta: 1 day, 17:58:32 batch_cost: 0.8951 data_cost: 0.0034 ips: 62.5646 images/s [03/17 11:09:09] ppdet.engine INFO: Epoch: [1] [160/523] learning_rate: 0.279996 loss_vfl: 1.613693 loss_bbox: 0.833048 loss_dfl: 0.578198 loss: 3.065059 eta: 1 day, 17:56:04 batch_cost: 0.9389 data_cost: 0.0206 ips: 59.6460 images/s [03/17 11:09:30] ppdet.engine INFO: Epoch: [1] [180/523] learning_rate: 0.279995 loss_vfl: 1.669631 loss_bbox: 0.802173 loss_dfl: 0.566866 loss: 3.054857 eta: 1 day, 17:51:32 batch_cost: 0.9096 data_cost: 0.0056 ips: 61.5672 images/s [03/17 11:09:52] ppdet.engine INFO: Epoch: [1] [200/523] learning_rate: 0.279995 loss_vfl: 1.681097 loss_bbox: 0.856553 loss_dfl: 0.576271 loss: 3.137207 eta: 1 day, 17:48:06 batch_cost: 0.9213 data_cost: 0.0030 ips: 60.7823 images/s [03/17 11:10:15] ppdet.engine INFO: Epoch: [1] [220/523] learning_rate: 0.279994 loss_vfl: 1.616601 loss_bbox: 0.813909 loss_dfl: 0.558383 loss: 2.976132 eta: 1 day, 17:50:04 batch_cost: 0.9964 data_cost: 0.0063 ips: 56.2036 images/s [03/17 11:10:36] ppdet.engine INFO: Epoch: [1] [240/523] learning_rate: 0.279994 loss_vfl: 1.576261 loss_bbox: 0.804099 loss_dfl: 0.552784 loss: 2.946711 eta: 1 day, 17:42:05 batch_cost: 0.8520 data_cost: 0.0060 ips: 65.7313 images/s [03/17 11:10:56] ppdet.engine INFO: Epoch: [1] [260/523] learning_rate: 0.279993 loss_vfl: 1.641903 loss_bbox: 0.827859 loss_dfl: 0.570972 loss: 3.047126 eta: 1 day, 17:35:11 batch_cost: 0.8624 data_cost: 0.0095 ips: 64.9343 images/s [03/17 11:11:19] ppdet.engine INFO: Epoch: [1] [280/523] learning_rate: 0.279993 loss_vfl: 1.677351 loss_bbox: 0.862726 loss_dfl: 0.596717 loss: 3.156991 eta: 1 day, 17:37:53 batch_cost: 1.0057 data_cost: 0.0151 ips: 55.6828 images/s [03/17 11:11:38] ppdet.engine INFO: Epoch: [1] [300/523] learning_rate: 0.279992 loss_vfl: 1.606100 loss_bbox: 0.818681 loss_dfl: 0.559000 loss: 2.980767 eta: 1 day, 17:25:04 batch_cost: 0.7622 data_cost: 0.0049 ips: 73.4706 images/s [03/17 11:11:55] ppdet.engine INFO: Epoch: [1] [320/523] learning_rate: 0.279992 loss_vfl: 1.609831 loss_bbox: 0.802839 loss_dfl: 0.557024 loss: 2.940128 eta: 1 day, 17:09:43 batch_cost: 0.7113 data_cost: 0.0032 ips: 78.7236 images/s [03/17 11:12:17] ppdet.engine INFO: Epoch: [1] [340/523] learning_rate: 0.279991 loss_vfl: 1.641734 loss_bbox: 0.792500 loss_dfl: 0.556836 loss: 2.999064 eta: 1 day, 17:03:14 batch_cost: 0.8470 data_cost: 0.0024 ips: 66.1133 images/s [03/17 11:12:38] ppdet.engine INFO: Epoch: [1] [360/523] learning_rate: 0.279990 loss_vfl: 1.637942 loss_bbox: 0.810444 loss_dfl: 0.560414 loss: 2.998143 eta: 1 day, 17:00:28 batch_cost: 0.9057 data_cost: 0.0025 ips: 61.8331 images/s [03/17 11:13:00] ppdet.engine INFO: Epoch: [1] [380/523] learning_rate: 0.279990 loss_vfl: 1.614025 loss_bbox: 0.857459 loss_dfl: 0.576639 loss: 3.035580 eta: 1 day, 16:58:02 batch_cost: 0.9093 data_cost: 0.0028 ips: 61.5825 images/s [03/17 11:13:22] ppdet.engine INFO: Epoch: [1] [400/523] learning_rate: 0.279989 loss_vfl: 1.622882 loss_bbox: 0.800179 loss_dfl: 0.563290 loss: 2.993186 eta: 1 day, 16:56:25 batch_cost: 0.9223 data_cost: 0.0053 ips: 60.7168 images/s [03/17 11:13:44] ppdet.engine INFO: Epoch: [1] [420/523] learning_rate: 0.279988 loss_vfl: 1.545356 loss_bbox: 0.786545 loss_dfl: 0.545309 loss: 2.867442 eta: 1 day, 16:53:55 batch_cost: 0.9053 data_cost: 0.0014 ips: 61.8572 images/s [03/17 11:14:04] ppdet.engine INFO: Epoch: [1] [440/523] learning_rate: 0.279988 loss_vfl: 1.626288 loss_bbox: 0.786837 loss_dfl: 0.545940 loss: 2.937310 eta: 1 day, 16:50:36 batch_cost: 0.8884 data_cost: 0.0042 ips: 63.0359 images/s [03/17 11:14:26] ppdet.engine INFO: Epoch: [1] [460/523] learning_rate: 0.279987 loss_vfl: 1.567017 loss_bbox: 0.807308 loss_dfl: 0.548588 loss: 2.903340 eta: 1 day, 16:49:52 batch_cost: 0.9348 data_cost: 0.0052 ips: 59.9076 images/s [03/17 11:14:49] ppdet.engine INFO: Epoch: [1] [480/523] learning_rate: 0.279986 loss_vfl: 1.619263 loss_bbox: 0.784095 loss_dfl: 0.559638 loss: 2.986161 eta: 1 day, 16:48:17 batch_cost: 0.9184 data_cost: 0.0035 ips: 60.9762 images/s [03/17 11:15:11] ppdet.engine INFO: Epoch: [1] [500/523] learning_rate: 0.279985 loss_vfl: 1.583899 loss_bbox: 0.773003 loss_dfl: 0.528150 loss: 2.835257 eta: 1 day, 16:46:15 batch_cost: 0.9084 data_cost: 0.0028 ips: 61.6465 images/s [03/17 11:15:28] ppdet.engine INFO: Epoch: [1] [520/523] learning_rate: 0.279984 loss_vfl: 1.704976 loss_bbox: 0.846729 loss_dfl: 0.586506 loss: 3.131096 eta: 1 day, 16:37:54 batch_cost: 0.7802 data_cost: 0.0121 ips: 71.7739 images/s [03/17 11:15:41] ppdet.engine INFO: Epoch: [2] [ 0/523] learning_rate: 0.279984 loss_vfl: 1.680781 loss_bbox: 0.836931 loss_dfl: 0.580952 loss: 3.079220 eta: 1 day, 16:59:13 batch_cost: 1.2234 data_cost: 0.4587 ips: 45.7742 images/s [03/17 11:16:01] ppdet.engine INFO: Epoch: [2] [ 20/523] learning_rate: 0.279983 loss_vfl: 1.593252 loss_bbox: 0.816641 loss_dfl: 0.571378 loss: 2.994346 eta: 1 day, 16:52:52 batch_cost: 0.8227 data_cost: 0.0028 ips: 68.0656 images/s [03/17 11:16:22] ppdet.engine INFO: Epoch: [2] [ 40/523] learning_rate: 0.279983 loss_vfl: 1.584740 loss_bbox: 0.743070 loss_dfl: 0.548017 loss: 2.902039 eta: 1 day, 16:47:49 batch_cost: 0.8452 data_cost: 0.0026 ips: 66.2547 images/s [03/17 11:16:40] ppdet.engine INFO: Epoch: [2] [ 60/523] learning_rate: 0.279982 loss_vfl: 1.624929 loss_bbox: 0.789782 loss_dfl: 0.546188 loss: 2.964376 eta: 1 day, 16:38:43 batch_cost: 0.7554 data_cost: 0.0007 ips: 74.1316 images/s [03/17 11:16:58] ppdet.engine INFO: Epoch: [2] [ 80/523] learning_rate: 0.279981 loss_vfl: 1.597529 loss_bbox: 0.807149 loss_dfl: 0.555458 loss: 2.938252 eta: 1 day, 16:30:22 batch_cost: 0.7646 data_cost: 0.0023 ips: 73.2448 images/s [03/17 11:17:17] ppdet.engine INFO: Epoch: [2] [100/523] learning_rate: 0.279980 loss_vfl: 1.542745 loss_bbox: 0.795230 loss_dfl: 0.561131 loss: 2.970577 eta: 1 day, 16:24:26 batch_cost: 0.8120 data_cost: 0.0035 ips: 68.9638 images/s [03/17 11:17:39] ppdet.engine INFO: Epoch: [2] [120/523] learning_rate: 0.279979 loss_vfl: 1.614773 loss_bbox: 0.753380 loss_dfl: 0.546997 loss: 2.971179 eta: 1 day, 16:19:41 batch_cost: 0.8341 data_cost: 0.0022 ips: 67.1361 images/s [03/17 11:18:00] ppdet.engine INFO: Epoch: [2] [140/523] learning_rate: 0.279978 loss_vfl: 1.578667 loss_bbox: 0.778470 loss_dfl: 0.545910 loss: 2.905876 eta: 1 day, 16:17:24 batch_cost: 0.8873 data_cost: 0.0138 ips: 63.1094 images/s [03/17 11:18:18] ppdet.engine INFO: Epoch: [2] [160/523] learning_rate: 0.279977 loss_vfl: 1.442067 loss_bbox: 0.733001 loss_dfl: 0.511417 loss: 2.689886 eta: 1 day, 16:09:58 batch_cost: 0.7658 data_cost: 0.0047 ips: 73.1244 images/s [03/17 11:18:40] ppdet.engine INFO: Epoch: [2] [180/523] learning_rate: 0.279976 loss_vfl: 1.609393 loss_bbox: 0.774732 loss_dfl: 0.554058 loss: 2.976318 eta: 1 day, 16:08:39 batch_cost: 0.9048 data_cost: 0.0122 ips: 61.8911 images/s [03/17 11:19:01] ppdet.engine INFO: Epoch: [2] [200/523] learning_rate: 0.279975 loss_vfl: 1.580189 loss_bbox: 0.760196 loss_dfl: 0.534025 loss: 2.873522 eta: 1 day, 16:06:15 batch_cost: 0.8780 data_cost: 0.0041 ips: 63.7785 images/s [03/17 11:19:22] ppdet.engine INFO: Epoch: [2] [220/523] learning_rate: 0.279974 loss_vfl: 1.539068 loss_bbox: 0.768187 loss_dfl: 0.551065 loss: 2.839228 eta: 1 day, 16:04:49 batch_cost: 0.9002 data_cost: 0.0004 ips: 62.2054 images/s [03/17 11:19:43] ppdet.engine INFO: Epoch: [2] [240/523] learning_rate: 0.279973 loss_vfl: 1.612952 loss_bbox: 0.801940 loss_dfl: 0.569826 loss: 2.988271 eta: 1 day, 16:02:32 batch_cost: 0.8781 data_cost: 0.0005 ips: 63.7709 images/s [03/17 11:20:04] ppdet.engine INFO: Epoch: [2] [260/523] learning_rate: 0.279971 loss_vfl: 1.547662 loss_bbox: 0.793059 loss_dfl: 0.552341 loss: 2.930556 eta: 1 day, 16:02:44 batch_cost: 0.9390 data_cost: 0.0048 ips: 59.6392 images/s [03/17 11:20:27] ppdet.engine INFO: Epoch: [2] [280/523] learning_rate: 0.279970 loss_vfl: 1.531867 loss_bbox: 0.776744 loss_dfl: 0.543070 loss: 2.856054 eta: 1 day, 16:03:33 batch_cost: 0.9555 data_cost: 0.0069 ips: 58.6070 images/s [03/17 11:20:47] ppdet.engine INFO: Epoch: [2] [300/523] learning_rate: 0.279969 loss_vfl: 1.626186 loss_bbox: 0.784416 loss_dfl: 0.558582 loss: 2.987346 eta: 1 day, 15:59:45 batch_cost: 0.8360 data_cost: 0.0013 ips: 66.9855 images/s [03/17 11:21:08] ppdet.engine INFO: Epoch: [2] [320/523] learning_rate: 0.279968 loss_vfl: 1.618133 loss_bbox: 0.781498 loss_dfl: 0.560392 loss: 2.992748 eta: 1 day, 15:57:47 batch_cost: 0.8822 data_cost: 0.0033 ips: 63.4793 images/s [03/17 11:21:26] ppdet.engine INFO: Epoch: [2] [340/523] learning_rate: 0.279967 loss_vfl: 1.534778 loss_bbox: 0.781700 loss_dfl: 0.539596 loss: 2.854490 eta: 1 day, 15:51:11 batch_cost: 0.7566 data_cost: 0.0045 ips: 74.0107 images/s [03/17 11:21:44] ppdet.engine INFO: Epoch: [2] [360/523] learning_rate: 0.279966 loss_vfl: 1.575155 loss_bbox: 0.780376 loss_dfl: 0.560133 loss: 2.909507 eta: 1 day, 15:43:37 batch_cost: 0.7255 data_cost: 0.0035 ips: 77.1885 images/s [03/17 11:22:03] ppdet.engine INFO: Epoch: [2] [380/523] learning_rate: 0.279964 loss_vfl: 1.578294 loss_bbox: 0.783643 loss_dfl: 0.539904 loss: 2.941387 eta: 1 day, 15:37:46 batch_cost: 0.7672 data_cost: 0.0020 ips: 72.9900 images/s [03/17 11:22:23] ppdet.engine INFO: Epoch: [2] [400/523] learning_rate: 0.279963 loss_vfl: 1.543772 loss_bbox: 0.769887 loss_dfl: 0.546189 loss: 2.890993 eta: 1 day, 15:35:58 batch_cost: 0.8759 data_cost: 0.0059 ips: 63.9337 images/s [03/17 11:22:43] ppdet.engine INFO: Epoch: [2] [420/523] learning_rate: 0.279962 loss_vfl: 1.491212 loss_bbox: 0.734414 loss_dfl: 0.529349 loss: 2.777642 eta: 1 day, 15:34:06 batch_cost: 0.8726 data_cost: 0.0078 ips: 64.1744 images/s [03/17 11:23:03] ppdet.engine INFO: Epoch: [2] [440/523] learning_rate: 0.279960 loss_vfl: 1.533802 loss_bbox: 0.782480 loss_dfl: 0.556467 loss: 2.867235 eta: 1 day, 15:29:36 batch_cost: 0.7961 data_cost: 0.0063 ips: 70.3386 images/s [03/17 11:23:26] ppdet.engine INFO: Epoch: [2] [460/523] learning_rate: 0.279959 loss_vfl: 1.559441 loss_bbox: 0.799506 loss_dfl: 0.558249 loss: 2.951304 eta: 1 day, 15:30:39 batch_cost: 0.9543 data_cost: 0.0119 ips: 58.6792 images/s [03/17 11:23:45] ppdet.engine INFO: Epoch: [2] [480/523] learning_rate: 0.279958 loss_vfl: 1.560792 loss_bbox: 0.751267 loss_dfl: 0.528683 loss: 2.878915 eta: 1 day, 15:26:44 batch_cost: 0.8085 data_cost: 0.0033 ips: 69.2620 images/s [03/17 11:24:06] ppdet.engine INFO: Epoch: [2] [500/523] learning_rate: 0.279956 loss_vfl: 1.556358 loss_bbox: 0.759435 loss_dfl: 0.536693 loss: 2.863847 eta: 1 day, 15:23:53 batch_cost: 0.8378 data_cost: 0.0015 ips: 66.8398 images/s [03/17 11:24:24] ppdet.engine INFO: Epoch: [2] [520/523] learning_rate: 0.279955 loss_vfl: 1.608593 loss_bbox: 0.776389 loss_dfl: 0.557980 loss: 2.957602 eta: 1 day, 15:16:43 batch_cost: 0.7057 data_cost: 0.0088 ips: 79.3552 images/s [03/17 11:24:37] ppdet.engine INFO: Epoch: [3] [ 0/523] learning_rate: 0.279955 loss_vfl: 1.552259 loss_bbox: 0.776389 loss_dfl: 0.546894 loss: 2.873342 eta: 1 day, 15:32:51 batch_cost: 1.2409 data_cost: 0.4044 ips: 45.1279 images/s [03/17 11:25:01] ppdet.engine INFO: Epoch: [3] [ 20/523] learning_rate: 0.279953 loss_vfl: 1.523211 loss_bbox: 0.738068 loss_dfl: 0.519113 loss: 2.793554 eta: 1 day, 15:35:10 batch_cost: 0.9969 data_cost: 0.0021 ips: 56.1748 images/s [03/17 11:25:23] ppdet.engine INFO: Epoch: [3] [ 40/523] learning_rate: 0.279952 loss_vfl: 1.609569 loss_bbox: 0.771650 loss_dfl: 0.554825 loss: 2.940072 eta: 1 day, 15:35:00 batch_cost: 0.9219 data_cost: 0.0007 ips: 60.7431 images/s [03/17 11:25:44] ppdet.engine INFO: Epoch: [3] [ 60/523] learning_rate: 0.279950 loss_vfl: 1.497173 loss_bbox: 0.727131 loss_dfl: 0.516609 loss: 2.759572 eta: 1 day, 15:34:57 batch_cost: 0.9259 data_cost: 0.0028 ips: 60.4830 images/s [03/17 11:26:03] ppdet.engine INFO: Epoch: [3] [ 80/523] learning_rate: 0.279949 loss_vfl: 1.565874 loss_bbox: 0.784964 loss_dfl: 0.545128 loss: 2.892505 eta: 1 day, 15:31:26 batch_cost: 0.8154 data_cost: 0.0035 ips: 68.6784 images/s [03/17 11:26:23] ppdet.engine INFO: Epoch: [3] [100/523] learning_rate: 0.279947 loss_vfl: 1.567906 loss_bbox: 0.765683 loss_dfl: 0.556702 loss: 2.888020 eta: 1 day, 15:30:16 batch_cost: 0.8885 data_cost: 0.0077 ips: 63.0311 images/s [03/17 11:26:42] ppdet.engine INFO: Epoch: [3] [120/523] learning_rate: 0.279946 loss_vfl: 1.492049 loss_bbox: 0.764174 loss_dfl: 0.532445 loss: 2.836777 eta: 1 day, 15:26:29 batch_cost: 0.8024 data_cost: 0.0035 ips: 69.7896 images/s [03/17 11:27:03] ppdet.engine INFO: Epoch: [3] [140/523] learning_rate: 0.279944 loss_vfl: 1.529522 loss_bbox: 0.773240 loss_dfl: 0.533723 loss: 2.828328 eta: 1 day, 15:28:07 batch_cost: 0.9791 data_cost: 0.0062 ips: 57.1928 images/s [03/17 11:27:23] ppdet.engine INFO: Epoch: [3] [160/523] learning_rate: 0.279942 loss_vfl: 1.535861 loss_bbox: 0.747829 loss_dfl: 0.523074 loss: 2.799059 eta: 1 day, 15:27:26 batch_cost: 0.9032 data_cost: 0.0031 ips: 62.0038 images/s [03/17 11:27:46] ppdet.engine INFO: Epoch: [3] [180/523] learning_rate: 0.279941 loss_vfl: 1.502936 loss_bbox: 0.767182 loss_dfl: 0.530879 loss: 2.804326 eta: 1 day, 15:30:02 batch_cost: 1.0134 data_cost: 0.0453 ips: 55.2587 images/s [03/17 11:28:09] ppdet.engine INFO: Epoch: [3] [200/523] learning_rate: 0.279939 loss_vfl: 1.572477 loss_bbox: 0.767245 loss_dfl: 0.539423 loss: 2.840760 eta: 1 day, 15:31:35 batch_cost: 0.9803 data_cost: 0.0054 ips: 57.1273 images/s [03/17 11:28:28] ppdet.engine INFO: Epoch: [3] [220/523] learning_rate: 0.279938 loss_vfl: 1.476036 loss_bbox: 0.706437 loss_dfl: 0.496370 loss: 2.666588 eta: 1 day, 15:29:53 batch_cost: 0.8687 data_cost: 0.0034 ips: 64.4673 images/s [03/17 11:28:51] ppdet.engine INFO: Epoch: [3] [240/523] learning_rate: 0.279936 loss_vfl: 1.526093 loss_bbox: 0.759295 loss_dfl: 0.546089 loss: 2.849438 eta: 1 day, 15:33:11 batch_cost: 1.0433 data_cost: 0.0045 ips: 53.6767 images/s [03/17 11:29:12] ppdet.engine INFO: Epoch: [3] [260/523] learning_rate: 0.279934 loss_vfl: 1.449682 loss_bbox: 0.683281 loss_dfl: 0.489391 loss: 2.605834 eta: 1 day, 15:29:38 batch_cost: 0.8031 data_cost: 0.0061 ips: 69.7325 images/s [03/17 11:29:34] ppdet.engine INFO: Epoch: [3] [280/523] learning_rate: 0.279932 loss_vfl: 1.467578 loss_bbox: 0.736640 loss_dfl: 0.512859 loss: 2.730032 eta: 1 day, 15:30:43 batch_cost: 0.9666 data_cost: 0.0046 ips: 57.9349 images/s [03/17 11:29:55] ppdet.engine INFO: Epoch: [3] [300/523] learning_rate: 0.279931 loss_vfl: 1.518460 loss_bbox: 0.766317 loss_dfl: 0.533081 loss: 2.792717 eta: 1 day, 15:31:04 batch_cost: 0.9414 data_cost: 0.0048 ips: 59.4870 images/s [03/17 11:30:16] ppdet.engine INFO: Epoch: [3] [320/523] learning_rate: 0.279929 loss_vfl: 1.551808 loss_bbox: 0.780249 loss_dfl: 0.546605 loss: 2.868674 eta: 1 day, 15:31:43 batch_cost: 0.9524 data_cost: 0.0044 ips: 58.7962 images/s [03/17 11:30:39] ppdet.engine INFO: Epoch: [3] [340/523] learning_rate: 0.279927 loss_vfl: 1.529367 loss_bbox: 0.735909 loss_dfl: 0.526284 loss: 2.787520 eta: 1 day, 15:33:47 batch_cost: 1.0055 data_cost: 0.0036 ips: 55.6950 images/s [03/17 11:30:59] ppdet.engine INFO: Epoch: [3] [360/523] learning_rate: 0.279925 loss_vfl: 1.542345 loss_bbox: 0.785938 loss_dfl: 0.553131 loss: 2.845542 eta: 1 day, 15:32:12 batch_cost: 0.8717 data_cost: 0.0034 ips: 64.2439 images/s [03/17 11:31:15] ppdet.engine INFO: Epoch: [3] [380/523] learning_rate: 0.279923 loss_vfl: 1.566303 loss_bbox: 0.707707 loss_dfl: 0.515389 loss: 2.769713 eta: 1 day, 15:26:08 batch_cost: 0.7007 data_cost: 0.0047 ips: 79.9220 images/s [03/17 11:31:34] ppdet.engine INFO: Epoch: [3] [400/523] learning_rate: 0.279922 loss_vfl: 1.458925 loss_bbox: 0.736886 loss_dfl: 0.507023 loss: 2.680028 eta: 1 day, 15:23:07 batch_cost: 0.8126 data_cost: 0.0078 ips: 68.9186 images/s [03/17 11:31:54] ppdet.engine INFO: Epoch: [3] [420/523] learning_rate: 0.279920 loss_vfl: 1.497100 loss_bbox: 0.713058 loss_dfl: 0.512503 loss: 2.718328 eta: 1 day, 15:22:49 batch_cost: 0.9157 data_cost: 0.0023 ips: 61.1552 images/s [03/17 11:32:17] ppdet.engine INFO: Epoch: [3] [440/523] learning_rate: 0.279918 loss_vfl: 1.539528 loss_bbox: 0.726395 loss_dfl: 0.520775 loss: 2.726895 eta: 1 day, 15:26:22 batch_cost: 1.0650 data_cost: 0.0025 ips: 52.5826 images/s [03/17 11:32:39] ppdet.engine INFO: Epoch: [3] [460/523] learning_rate: 0.279916 loss_vfl: 1.454472 loss_bbox: 0.689374 loss_dfl: 0.488932 loss: 2.616990 eta: 1 day, 15:27:52 batch_cost: 0.9879 data_cost: 0.0069 ips: 56.6872 images/s [03/17 11:33:01] ppdet.engine INFO: Epoch: [3] [480/523] learning_rate: 0.279914 loss_vfl: 1.480996 loss_bbox: 0.718722 loss_dfl: 0.499328 loss: 2.692072 eta: 1 day, 15:29:30 batch_cost: 0.9943 data_cost: 0.0041 ips: 56.3196 images/s [03/17 11:33:21] ppdet.engine INFO: Epoch: [3] [500/523] learning_rate: 0.279912 loss_vfl: 1.553316 loss_bbox: 0.751856 loss_dfl: 0.529912 loss: 2.813225 eta: 1 day, 15:28:45 batch_cost: 0.9004 data_cost: 0.0057 ips: 62.1917 images/s [03/17 11:33:39] ppdet.engine INFO: Epoch: [3] [520/523] learning_rate: 0.279910 loss_vfl: 1.548077 loss_bbox: 0.731025 loss_dfl: 0.537892 loss: 2.821048 eta: 1 day, 15:25:22 batch_cost: 0.7932 data_cost: 0.0013 ips: 70.6001 images/s [03/17 11:33:51] ppdet.engine INFO: Epoch: [4] [ 0/523] learning_rate: 0.279910 loss_vfl: 1.511764 loss_bbox: 0.737260 loss_dfl: 0.533100 loss: 2.808527 eta: 1 day, 15:35:35 batch_cost: 1.2313 data_cost: 0.3436 ips: 45.4819 images/s [03/17 11:34:14] ppdet.engine INFO: Epoch: [4] [ 20/523] learning_rate: 0.279908 loss_vfl: 1.527392 loss_bbox: 0.753307 loss_dfl: 0.526022 loss: 2.808404 eta: 1 day, 15:36:12 batch_cost: 0.9585 data_cost: 0.0011 ips: 58.4231 images/s [03/17 11:34:35] ppdet.engine INFO: Epoch: [4] [ 40/523] learning_rate: 0.279905 loss_vfl: 1.511052 loss_bbox: 0.767764 loss_dfl: 0.536350 loss: 2.808789 eta: 1 day, 15:37:06 batch_cost: 0.9711 data_cost: 0.0029 ips: 57.6638 images/s [03/17 11:34:57] ppdet.engine INFO: Epoch: [4] [ 60/523] learning_rate: 0.279903 loss_vfl: 1.447036 loss_bbox: 0.728320 loss_dfl: 0.508593 loss: 2.753251 eta: 1 day, 15:37:44 batch_cost: 0.9604 data_cost: 0.0040 ips: 58.3070 images/s [03/17 11:35:18] ppdet.engine INFO: Epoch: [4] [ 80/523] learning_rate: 0.279901 loss_vfl: 1.539673 loss_bbox: 0.769691 loss_dfl: 0.555527 loss: 2.868995 eta: 1 day, 15:35:32 batch_cost: 0.8419 data_cost: 0.0094 ips: 66.5123 images/s [03/17 11:35:36] ppdet.engine INFO: Epoch: [4] [100/523] learning_rate: 0.279899 loss_vfl: 1.432709 loss_bbox: 0.698986 loss_dfl: 0.518614 loss: 2.671800 eta: 1 day, 15:31:13 batch_cost: 0.7512 data_cost: 0.0160 ips: 74.5461 images/s [03/17 11:35:56] ppdet.engine INFO: Epoch: [4] [120/523] learning_rate: 0.279897 loss_vfl: 1.459238 loss_bbox: 0.731006 loss_dfl: 0.520935 loss: 2.711179 eta: 1 day, 15:30:09 batch_cost: 0.8870 data_cost: 0.0722 ips: 63.1318 images/s [03/17 11:36:15] ppdet.engine INFO: Epoch: [4] [140/523] learning_rate: 0.279895 loss_vfl: 1.477163 loss_bbox: 0.737281 loss_dfl: 0.511683 loss: 2.702910 eta: 1 day, 15:26:38 batch_cost: 0.7803 data_cost: 0.0815 ips: 71.7689 images/s [03/17 11:36:34] ppdet.engine INFO: Epoch: [4] [160/523] learning_rate: 0.279893 loss_vfl: 1.569382 loss_bbox: 0.775966 loss_dfl: 0.546142 loss: 2.869140 eta: 1 day, 15:24:21 batch_cost: 0.8314 data_cost: 0.0022 ips: 67.3536 images/s [03/17 11:36:54] ppdet.engine INFO: Epoch: [4] [180/523] learning_rate: 0.279890 loss_vfl: 1.543296 loss_bbox: 0.757852 loss_dfl: 0.541551 loss: 2.822145 eta: 1 day, 15:21:22 batch_cost: 0.7994 data_cost: 0.0034 ips: 70.0500 images/s [03/17 11:37:16] ppdet.engine INFO: Epoch: [4] [200/523] learning_rate: 0.279888 loss_vfl: 1.447217 loss_bbox: 0.723057 loss_dfl: 0.515369 loss: 2.698153 eta: 1 day, 15:19:54 batch_cost: 0.8642 data_cost: 0.0185 ips: 64.7976 images/s [03/17 11:37:36] ppdet.engine INFO: Epoch: [4] [220/523] learning_rate: 0.279886 loss_vfl: 1.504302 loss_bbox: 0.737816 loss_dfl: 0.525166 loss: 2.766757 eta: 1 day, 15:17:43 batch_cost: 0.8320 data_cost: 0.0042 ips: 67.3038 images/s [03/17 11:37:59] ppdet.engine INFO: Epoch: [4] [240/523] learning_rate: 0.279884 loss_vfl: 1.427670 loss_bbox: 0.695612 loss_dfl: 0.488939 loss: 2.597774 eta: 1 day, 15:18:40 batch_cost: 0.9719 data_cost: 0.0930 ips: 57.6209 images/s [03/17 11:38:19] ppdet.engine INFO: Epoch: [4] [260/523] learning_rate: 0.279881 loss_vfl: 1.533267 loss_bbox: 0.772409 loss_dfl: 0.539144 loss: 2.853070 eta: 1 day, 15:16:43 batch_cost: 0.8398 data_cost: 0.0085 ips: 66.6800 images/s [03/17 11:38:40] ppdet.engine INFO: Epoch: [4] [280/523] learning_rate: 0.279879 loss_vfl: 1.546150 loss_bbox: 0.724054 loss_dfl: 0.521284 loss: 2.796180 eta: 1 day, 15:14:19 batch_cost: 0.8188 data_cost: 0.0014 ips: 68.3943 images/s [03/17 11:39:01] ppdet.engine INFO: Epoch: [4] [300/523] learning_rate: 0.279877 loss_vfl: 1.483830 loss_bbox: 0.752920 loss_dfl: 0.530803 loss: 2.756205 eta: 1 day, 15:12:57 batch_cost: 0.8647 data_cost: 0.0019 ips: 64.7586 images/s [03/17 11:39:23] ppdet.engine INFO: Epoch: [4] [320/523] learning_rate: 0.279874 loss_vfl: 1.441503 loss_bbox: 0.732822 loss_dfl: 0.524409 loss: 2.698501 eta: 1 day, 15:12:53 batch_cost: 0.9248 data_cost: 0.0788 ips: 60.5528 images/s [03/17 11:39:42] ppdet.engine INFO: Epoch: [4] [340/523] learning_rate: 0.279872 loss_vfl: 1.516762 loss_bbox: 0.755142 loss_dfl: 0.528788 loss: 2.767313 eta: 1 day, 15:10:41 batch_cost: 0.8246 data_cost: 0.0275 ips: 67.9105 images/s [03/17 11:40:04] ppdet.engine INFO: Epoch: [4] [360/523] learning_rate: 0.279870 loss_vfl: 1.501654 loss_bbox: 0.727742 loss_dfl: 0.513181 loss: 2.732343 eta: 1 day, 15:11:08 batch_cost: 0.9484 data_cost: 0.0069 ips: 59.0466 images/s [03/17 11:40:24] ppdet.engine INFO: Epoch: [4] [380/523] learning_rate: 0.279867 loss_vfl: 1.543760 loss_bbox: 0.750253 loss_dfl: 0.536687 loss: 2.834769 eta: 1 day, 15:09:00 batch_cost: 0.8257 data_cost: 0.1229 ips: 67.8252 images/s [03/17 11:40:43] ppdet.engine INFO: Epoch: [4] [400/523] learning_rate: 0.279865 loss_vfl: 1.558230 loss_bbox: 0.759063 loss_dfl: 0.554033 loss: 2.872349 eta: 1 day, 15:07:34 batch_cost: 0.8584 data_cost: 0.1807 ips: 65.2380 images/s [03/17 11:41:02] ppdet.engine INFO: Epoch: [4] [420/523] learning_rate: 0.279862 loss_vfl: 1.451200 loss_bbox: 0.693140 loss_dfl: 0.505566 loss: 2.667766 eta: 1 day, 15:03:45 batch_cost: 0.7405 data_cost: 0.0371 ips: 75.6240 images/s [03/17 11:41:20] ppdet.engine INFO: Epoch: [4] [440/523] learning_rate: 0.279860 loss_vfl: 1.523368 loss_bbox: 0.719338 loss_dfl: 0.505292 loss: 2.738203 eta: 1 day, 15:00:48 batch_cost: 0.7807 data_cost: 0.0014 ips: 71.7304 images/s [03/17 11:41:42] ppdet.engine INFO: Epoch: [4] [460/523] learning_rate: 0.279857 loss_vfl: 1.438098 loss_bbox: 0.728464 loss_dfl: 0.509313 loss: 2.681610 eta: 1 day, 15:00:40 batch_cost: 0.9182 data_cost: 0.0064 ips: 60.9868 images/s [03/17 11:42:02] ppdet.engine INFO: Epoch: [4] [480/523] learning_rate: 0.279855 loss_vfl: 1.564520 loss_bbox: 0.798951 loss_dfl: 0.564835 loss: 2.933295 eta: 1 day, 14:59:36 batch_cost: 0.8719 data_cost: 0.0029 ips: 64.2279 images/s [03/17 11:42:22] ppdet.engine INFO: Epoch: [4] [500/523] learning_rate: 0.279852 loss_vfl: 1.448796 loss_bbox: 0.702055 loss_dfl: 0.492449 loss: 2.651635 eta: 1 day, 14:58:31 batch_cost: 0.8699 data_cost: 0.0058 ips: 64.3767 images/s [03/17 11:42:40] ppdet.engine INFO: Epoch: [4] [520/523] learning_rate: 0.279849 loss_vfl: 1.535541 loss_bbox: 0.761785 loss_dfl: 0.533098 loss: 2.827709 eta: 1 day, 14:54:28 batch_cost: 0.7192 data_cost: 0.0155 ips: 77.8616 images/s [03/17 11:42:51] ppdet.engine INFO: Epoch: [5] [ 0/523] learning_rate: 0.279849 loss_vfl: 1.535541 loss_bbox: 0.761785 loss_dfl: 0.531210 loss: 2.814708 eta: 1 day, 15:01:21 batch_cost: 1.0613 data_cost: 0.3885 ips: 52.7674 images/s [03/17 11:43:14] ppdet.engine INFO: Epoch: [5] [ 20/523] learning_rate: 0.279846 loss_vfl: 1.460086 loss_bbox: 0.714901 loss_dfl: 0.498031 loss: 2.665868 eta: 1 day, 15:01:40 batch_cost: 0.9420 data_cost: 0.0128 ips: 59.4463 images/s [03/17 11:43:37] ppdet.engine INFO: Epoch: [5] [ 40/523] learning_rate: 0.279844 loss_vfl: 1.506800 loss_bbox: 0.717576 loss_dfl: 0.518371 loss: 2.750505 eta: 1 day, 15:02:27 batch_cost: 0.9672 data_cost: 0.0022 ips: 57.8975 images/s [03/17 11:43:57] ppdet.engine INFO: Epoch: [5] [ 60/523] learning_rate: 0.279841 loss_vfl: 1.490336 loss_bbox: 0.781175 loss_dfl: 0.550857 loss: 2.856781 eta: 1 day, 15:00:37 batch_cost: 0.8313 data_cost: 0.0074 ips: 67.3608 images/s [03/17 11:44:17] ppdet.engine INFO: Epoch: [5] [ 80/523] learning_rate: 0.279838 loss_vfl: 1.478413 loss_bbox: 0.709186 loss_dfl: 0.503710 loss: 2.691310 eta: 1 day, 14:57:35 batch_cost: 0.7677 data_cost: 0.0141 ips: 72.9436 images/s [03/17 11:44:39] ppdet.engine INFO: Epoch: [5] [100/523] learning_rate: 0.279836 loss_vfl: 1.446850 loss_bbox: 0.734074 loss_dfl: 0.523832 loss: 2.705133 eta: 1 day, 14:56:53 batch_cost: 0.8883 data_cost: 0.0063 ips: 63.0450 images/s [03/17 11:45:00] ppdet.engine INFO: Epoch: [5] [120/523] learning_rate: 0.279833 loss_vfl: 1.512472 loss_bbox: 0.785960 loss_dfl: 0.545014 loss: 2.786103 eta: 1 day, 14:56:07 batch_cost: 0.8847 data_cost: 0.0032 ips: 63.2989 images/s [03/17 11:45:21] ppdet.engine INFO: Epoch: [5] [140/523] learning_rate: 0.279830 loss_vfl: 1.515262 loss_bbox: 0.749465 loss_dfl: 0.547157 loss: 2.812403 eta: 1 day, 14:55:34 batch_cost: 0.8960 data_cost: 0.0107 ips: 62.5017 images/s [03/17 11:45:41] ppdet.engine INFO: Epoch: [5] [160/523] learning_rate: 0.279827 loss_vfl: 1.571215 loss_bbox: 0.775021 loss_dfl: 0.547635 loss: 2.894390 eta: 1 day, 14:53:12 batch_cost: 0.7980 data_cost: 0.0015 ips: 70.1754 images/s [03/17 11:45:57] ppdet.engine INFO: Epoch: [5] [180/523] learning_rate: 0.279825 loss_vfl: 1.492431 loss_bbox: 0.732509 loss_dfl: 0.527502 loss: 2.722285 eta: 1 day, 14:49:16 batch_cost: 0.7105 data_cost: 0.0046 ips: 78.8184 images/s [03/17 11:46:17] ppdet.engine INFO: Epoch: [5] [200/523] learning_rate: 0.279822 loss_vfl: 1.448688 loss_bbox: 0.719518 loss_dfl: 0.516683 loss: 2.644552 eta: 1 day, 14:47:53 batch_cost: 0.8474 data_cost: 0.0021 ips: 66.0807 images/s [03/17 11:46:37] ppdet.engine INFO: Epoch: [5] [220/523] learning_rate: 0.279819 loss_vfl: 1.436665 loss_bbox: 0.690699 loss_dfl: 0.494308 loss: 2.607924 eta: 1 day, 14:46:12 batch_cost: 0.8301 data_cost: 0.0073 ips: 67.4623 images/s [03/17 11:46:58] ppdet.engine INFO: Epoch: [5] [240/523] learning_rate: 0.279816 loss_vfl: 1.553446 loss_bbox: 0.779981 loss_dfl: 0.556524 loss: 2.883803 eta: 1 day, 14:44:22 batch_cost: 0.8215 data_cost: 0.0032 ips: 68.1676 images/s [03/17 11:47:19] ppdet.engine INFO: Epoch: [5] [260/523] learning_rate: 0.279813 loss_vfl: 1.521583 loss_bbox: 0.752015 loss_dfl: 0.543104 loss: 2.830420 eta: 1 day, 14:42:56 batch_cost: 0.8415 data_cost: 0.0561 ips: 66.5444 images/s [03/17 11:47:40] ppdet.engine INFO: Epoch: [5] [280/523] learning_rate: 0.279810 loss_vfl: 1.434061 loss_bbox: 0.698057 loss_dfl: 0.491773 loss: 2.598051 eta: 1 day, 14:40:56 batch_cost: 0.8094 data_cost: 0.0350 ips: 69.1838 images/s [03/17 11:48:01] ppdet.engine INFO: Epoch: [5] [300/523] learning_rate: 0.279807 loss_vfl: 1.483004 loss_bbox: 0.694929 loss_dfl: 0.501798 loss: 2.676043 eta: 1 day, 14:41:54 batch_cost: 0.9763 data_cost: 0.0882 ips: 57.3572 images/s [03/17 11:48:23] ppdet.engine INFO: Epoch: [5] [320/523] learning_rate: 0.279804 loss_vfl: 1.389686 loss_bbox: 0.716226 loss_dfl: 0.508362 loss: 2.615628 eta: 1 day, 14:41:20 batch_cost: 0.8894 data_cost: 0.0750 ips: 62.9606 images/s [03/17 11:48:44] ppdet.engine INFO: Epoch: [5] [340/523] learning_rate: 0.279801 loss_vfl: 1.438369 loss_bbox: 0.704233 loss_dfl: 0.501567 loss: 2.648336 eta: 1 day, 14:42:04 batch_cost: 0.9640 data_cost: 0.0048 ips: 58.0889 images/s [03/17 11:49:05] ppdet.engine INFO: Epoch: [5] [360/523] learning_rate: 0.279798 loss_vfl: 1.421266 loss_bbox: 0.705088 loss_dfl: 0.496287 loss: 2.605016 eta: 1 day, 14:41:19 batch_cost: 0.8791 data_cost: 0.0043 ips: 63.7046 images/s [03/17 11:49:27] ppdet.engine INFO: Epoch: [5] [380/523] learning_rate: 0.279795 loss_vfl: 1.557378 loss_bbox: 0.753054 loss_dfl: 0.526722 loss: 2.850770 eta: 1 day, 14:41:47 batch_cost: 0.9499 data_cost: 0.0034 ips: 58.9564 images/s [03/17 11:49:47] ppdet.engine INFO: Epoch: [5] [400/523] learning_rate: 0.279792 loss_vfl: 1.487883 loss_bbox: 0.695254 loss_dfl: 0.500152 loss: 2.721622 eta: 1 day, 14:40:11 batch_cost: 0.8288 data_cost: 0.0167 ips: 67.5662 images/s [03/17 11:50:11] ppdet.engine INFO: Epoch: [5] [420/523] learning_rate: 0.279789 loss_vfl: 1.417961 loss_bbox: 0.685565 loss_dfl: 0.494923 loss: 2.566656 eta: 1 day, 14:41:00 batch_cost: 0.9709 data_cost: 0.0019 ips: 57.6807 images/s [03/17 11:50:30] ppdet.engine INFO: Epoch: [5] [440/523] learning_rate: 0.279786 loss_vfl: 1.429297 loss_bbox: 0.705996 loss_dfl: 0.496026 loss: 2.599753 eta: 1 day, 14:37:47 batch_cost: 0.7307 data_cost: 0.0486 ips: 76.6436 images/s [03/17 11:50:48] ppdet.engine INFO: Epoch: [5] [460/523] learning_rate: 0.279783 loss_vfl: 1.474487 loss_bbox: 0.750683 loss_dfl: 0.553535 loss: 2.798271 eta: 1 day, 14:35:11 batch_cost: 0.7669 data_cost: 0.0027 ips: 73.0229 images/s [03/17 11:51:07] ppdet.engine INFO: Epoch: [5] [480/523] learning_rate: 0.279780 loss_vfl: 1.452543 loss_bbox: 0.741307 loss_dfl: 0.525741 loss: 2.720573 eta: 1 day, 14:32:27 batch_cost: 0.7553 data_cost: 0.0065 ips: 74.1401 images/s [03/17 11:51:27] ppdet.engine INFO: Epoch: [5] [500/523] learning_rate: 0.279777 loss_vfl: 1.446017 loss_bbox: 0.724272 loss_dfl: 0.524548 loss: 2.683983 eta: 1 day, 14:31:39 batch_cost: 0.8722 data_cost: 0.0044 ips: 64.2090 images/s [03/17 11:51:46] ppdet.engine INFO: Epoch: [5] 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0.704006 loss_dfl: 0.507042 loss: 2.665654 eta: 1 day, 14:39:39 batch_cost: 0.9342 data_cost: 0.0113 ips: 59.9449 images/s [03/17 11:53:31] ppdet.engine INFO: Epoch: [6] [ 80/523] learning_rate: 0.279760 loss_vfl: 1.447687 loss_bbox: 0.697303 loss_dfl: 0.502523 loss: 2.646342 eta: 1 day, 14:38:21 batch_cost: 0.8419 data_cost: 0.0127 ips: 66.5173 images/s [03/17 11:53:55] ppdet.engine INFO: Epoch: [6] [100/523] learning_rate: 0.279757 loss_vfl: 1.506861 loss_bbox: 0.730938 loss_dfl: 0.537322 loss: 2.789521 eta: 1 day, 14:38:29 batch_cost: 0.9331 data_cost: 0.0153 ips: 60.0148 images/s [03/17 11:54:16] ppdet.engine INFO: Epoch: [6] [120/523] learning_rate: 0.279754 loss_vfl: 1.518811 loss_bbox: 0.740792 loss_dfl: 0.530759 loss: 2.782427 eta: 1 day, 14:37:05 batch_cost: 0.8357 data_cost: 0.0050 ips: 67.0132 images/s [03/17 11:54:41] ppdet.engine INFO: Epoch: [6] [140/523] learning_rate: 0.279750 loss_vfl: 1.502230 loss_bbox: 0.736018 loss_dfl: 0.523096 loss: 2.784451 eta: 1 day, 14:39:04 batch_cost: 1.0512 data_cost: 0.0039 ips: 53.2745 images/s [03/17 11:55:03] ppdet.engine INFO: Epoch: [6] [160/523] learning_rate: 0.279747 loss_vfl: 1.409431 loss_bbox: 0.697224 loss_dfl: 0.511593 loss: 2.624328 eta: 1 day, 14:38:53 batch_cost: 0.9127 data_cost: 0.0006 ips: 61.3583 images/s [03/17 11:55:20] ppdet.engine INFO: Epoch: [6] [180/523] learning_rate: 0.279743 loss_vfl: 1.448395 loss_bbox: 0.716339 loss_dfl: 0.520415 loss: 2.669738 eta: 1 day, 14:35:46 batch_cost: 0.7238 data_cost: 0.0026 ips: 77.3680 images/s [03/17 11:55:40] ppdet.engine INFO: Epoch: [6] [200/523] learning_rate: 0.279740 loss_vfl: 1.398306 loss_bbox: 0.694478 loss_dfl: 0.505765 loss: 2.592016 eta: 1 day, 14:35:20 batch_cost: 0.8955 data_cost: 0.0025 ips: 62.5336 images/s [03/17 11:56:03] ppdet.engine INFO: Epoch: [6] [220/523] learning_rate: 0.279737 loss_vfl: 1.445015 loss_bbox: 0.728801 loss_dfl: 0.513006 loss: 2.689918 eta: 1 day, 14:35:30 batch_cost: 0.9363 data_cost: 0.0128 ips: 59.8077 images/s [03/17 11:56:25] ppdet.engine INFO: Epoch: [6] [240/523] learning_rate: 0.279733 loss_vfl: 1.448214 loss_bbox: 0.734023 loss_dfl: 0.521524 loss: 2.717777 eta: 1 day, 14:35:39 batch_cost: 0.9342 data_cost: 0.0792 ips: 59.9460 images/s [03/17 11:56:48] ppdet.engine INFO: Epoch: [6] [260/523] learning_rate: 0.279730 loss_vfl: 1.471039 loss_bbox: 0.690746 loss_dfl: 0.498090 loss: 2.645094 eta: 1 day, 14:35:20 batch_cost: 0.9045 data_cost: 0.0085 ips: 61.9128 images/s [03/17 11:57:12] ppdet.engine INFO: Epoch: [6] [280/523] learning_rate: 0.279726 loss_vfl: 1.501940 loss_bbox: 0.741865 loss_dfl: 0.530375 loss: 2.750614 eta: 1 day, 14:37:08 batch_cost: 1.0448 data_cost: 0.0150 ips: 53.5975 images/s [03/17 11:57:33] ppdet.engine INFO: Epoch: [6] [300/523] learning_rate: 0.279723 loss_vfl: 1.450357 loss_bbox: 0.741601 loss_dfl: 0.518412 loss: 2.719471 eta: 1 day, 14:36:35 batch_cost: 0.8896 data_cost: 0.0131 ips: 62.9477 images/s [03/17 11:57:57] ppdet.engine INFO: Epoch: [6] [320/523] learning_rate: 0.279719 loss_vfl: 1.472668 loss_bbox: 0.703189 loss_dfl: 0.525645 loss: 2.757751 eta: 1 day, 14:38:07 batch_cost: 1.0291 data_cost: 0.0050 ips: 54.4164 images/s [03/17 11:58:18] ppdet.engine INFO: Epoch: [6] [340/523] learning_rate: 0.279716 loss_vfl: 1.532686 loss_bbox: 0.763377 loss_dfl: 0.548625 loss: 2.838404 eta: 1 day, 14:37:02 batch_cost: 0.8542 data_cost: 0.0084 ips: 65.5562 images/s [03/17 11:58:43] ppdet.engine INFO: Epoch: [6] [360/523] learning_rate: 0.279712 loss_vfl: 1.484074 loss_bbox: 0.707887 loss_dfl: 0.520043 loss: 2.744402 eta: 1 day, 14:37:21 batch_cost: 0.9475 data_cost: 0.0154 ips: 59.1029 images/s [03/17 11:59:02] ppdet.engine INFO: Epoch: [6] [380/523] learning_rate: 0.279708 loss_vfl: 1.496523 loss_bbox: 0.735924 loss_dfl: 0.529571 loss: 2.776298 eta: 1 day, 14:35:47 batch_cost: 0.8199 data_cost: 0.0057 ips: 68.3025 images/s [03/17 11:59:26] ppdet.engine INFO: Epoch: [6] [400/523] learning_rate: 0.279705 loss_vfl: 1.439576 loss_bbox: 0.699014 loss_dfl: 0.515239 loss: 2.666139 eta: 1 day, 14:35:40 batch_cost: 0.9188 data_cost: 0.0091 ips: 60.9482 images/s [03/17 11:59:44] ppdet.engine INFO: Epoch: [6] [420/523] learning_rate: 0.279701 loss_vfl: 1.513189 loss_bbox: 0.740685 loss_dfl: 0.543553 loss: 2.847019 eta: 1 day, 14:33:40 batch_cost: 0.7877 data_cost: 0.0012 ips: 71.0955 images/s [03/17 12:00:01] ppdet.engine INFO: Epoch: [6] [440/523] learning_rate: 0.279697 loss_vfl: 1.476167 loss_bbox: 0.734887 loss_dfl: 0.521000 loss: 2.742640 eta: 1 day, 14:31:36 batch_cost: 0.7814 data_cost: 0.0091 ips: 71.6685 images/s [03/17 12:00:24] ppdet.engine INFO: Epoch: [6] [460/523] learning_rate: 0.279694 loss_vfl: 1.515059 loss_bbox: 0.734372 loss_dfl: 0.527190 loss: 2.748641 eta: 1 day, 14:31:24 batch_cost: 0.9126 data_cost: 0.0022 ips: 61.3665 images/s [03/17 12:00:45] ppdet.engine INFO: Epoch: [6] [480/523] learning_rate: 0.279690 loss_vfl: 1.490923 loss_bbox: 0.740830 loss_dfl: 0.531539 loss: 2.753633 eta: 1 day, 14:30:36 batch_cost: 0.8690 data_cost: 0.0037 ips: 64.4407 images/s [03/17 12:01:08] ppdet.engine INFO: Epoch: [6] [500/523] learning_rate: 0.279686 loss_vfl: 1.493214 loss_bbox: 0.758886 loss_dfl: 0.542689 loss: 2.825103 eta: 1 day, 14:31:01 batch_cost: 0.9549 data_cost: 0.0050 ips: 58.6435 images/s [03/17 12:01:25] ppdet.engine INFO: Epoch: [6] [520/523] learning_rate: 0.279682 loss_vfl: 1.381003 loss_bbox: 0.670957 loss_dfl: 0.483353 loss: 2.533037 eta: 1 day, 14:28:18 batch_cost: 0.7317 data_cost: 0.0035 ips: 76.5318 images/s [03/17 12:01:39] ppdet.engine INFO: Epoch: [7] [ 0/523] learning_rate: 0.279682 loss_vfl: 1.381003 loss_bbox: 0.682187 loss_dfl: 0.491494 loss: 2.533037 eta: 1 day, 14:34:55 batch_cost: 1.1692 data_cost: 0.4223 ips: 47.8948 images/s [03/17 12:02:03] ppdet.engine INFO: Epoch: [7] [ 20/523] learning_rate: 0.279678 loss_vfl: 1.384638 loss_bbox: 0.710647 loss_dfl: 0.493200 loss: 2.559684 eta: 1 day, 14:35:27 batch_cost: 0.9665 data_cost: 0.0056 ips: 57.9436 images/s [03/17 12:02:28] ppdet.engine INFO: Epoch: [7] [ 40/523] learning_rate: 0.279674 loss_vfl: 1.438790 loss_bbox: 0.717681 loss_dfl: 0.521307 loss: 2.704951 eta: 1 day, 14:35:55 batch_cost: 0.9616 data_cost: 0.0007 ips: 58.2348 images/s [03/17 12:02:49] ppdet.engine INFO: Epoch: [7] [ 60/523] learning_rate: 0.279670 loss_vfl: 1.391952 loss_bbox: 0.672388 loss_dfl: 0.485026 loss: 2.555849 eta: 1 day, 14:36:03 batch_cost: 0.9395 data_cost: 0.0018 ips: 59.6058 images/s [03/17 12:03:12] ppdet.engine INFO: Epoch: [7] [ 80/523] learning_rate: 0.279667 loss_vfl: 1.360394 loss_bbox: 0.656791 loss_dfl: 0.472929 loss: 2.495685 eta: 1 day, 14:37:51 batch_cost: 1.0610 data_cost: 0.0100 ips: 52.7792 images/s [03/17 12:03:37] ppdet.engine INFO: Epoch: [7] [100/523] learning_rate: 0.279663 loss_vfl: 1.484151 loss_bbox: 0.749713 loss_dfl: 0.543923 loss: 2.811959 eta: 1 day, 14:40:47 batch_cost: 1.1463 data_cost: 0.0020 ips: 48.8513 images/s [03/17 12:03:57] ppdet.engine INFO: Epoch: [7] [120/523] learning_rate: 0.279659 loss_vfl: 1.370131 loss_bbox: 0.687346 loss_dfl: 0.490291 loss: 2.556397 eta: 1 day, 14:39:38 batch_cost: 0.8465 data_cost: 0.0017 ips: 66.1541 images/s [03/17 12:04:15] ppdet.engine INFO: Epoch: [7] [140/523] learning_rate: 0.279655 loss_vfl: 1.489869 loss_bbox: 0.724931 loss_dfl: 0.531322 loss: 2.769001 eta: 1 day, 14:38:27 batch_cost: 0.8441 data_cost: 0.0024 ips: 66.3453 images/s [03/17 12:04:35] ppdet.engine INFO: Epoch: [7] [160/523] learning_rate: 0.279651 loss_vfl: 1.473372 loss_bbox: 0.694360 loss_dfl: 0.509209 loss: 2.667374 eta: 1 day, 14:37:57 batch_cost: 0.8935 data_cost: 0.0016 ips: 62.6742 images/s [03/17 12:04:55] ppdet.engine INFO: Epoch: [7] [180/523] learning_rate: 0.279647 loss_vfl: 1.467086 loss_bbox: 0.708126 loss_dfl: 0.519761 loss: 2.717659 eta: 1 day, 14:37:15 batch_cost: 0.8787 data_cost: 0.0044 ips: 63.7269 images/s [03/17 12:05:19] ppdet.engine INFO: Epoch: [7] [200/523] learning_rate: 0.279643 loss_vfl: 1.413698 loss_bbox: 0.688730 loss_dfl: 0.494935 loss: 2.586583 eta: 1 day, 14:39:38 batch_cost: 1.1120 data_cost: 0.0330 ips: 50.3588 images/s [03/17 12:05:42] ppdet.engine INFO: Epoch: [7] [220/523] learning_rate: 0.279639 loss_vfl: 1.431010 loss_bbox: 0.712857 loss_dfl: 0.517352 loss: 2.674568 eta: 1 day, 14:41:14 batch_cost: 1.0543 data_cost: 0.0053 ips: 53.1148 images/s [03/17 12:06:02] ppdet.engine INFO: Epoch: [7] [240/523] learning_rate: 0.279635 loss_vfl: 1.491958 loss_bbox: 0.745789 loss_dfl: 0.522753 loss: 2.750130 eta: 1 day, 14:40:37 batch_cost: 0.8858 data_cost: 0.0308 ips: 63.2165 images/s [03/17 12:06:26] ppdet.engine INFO: Epoch: [7] [260/523] learning_rate: 0.279631 loss_vfl: 1.502296 loss_bbox: 0.729306 loss_dfl: 0.518900 loss: 2.762068 eta: 1 day, 14:42:53 batch_cost: 1.1080 data_cost: 0.0276 ips: 50.5419 images/s [03/17 12:06:47] ppdet.engine INFO: Epoch: [7] [280/523] learning_rate: 0.279627 loss_vfl: 1.440153 loss_bbox: 0.685195 loss_dfl: 0.506669 loss: 2.606328 eta: 1 day, 14:42:53 batch_cost: 0.9337 data_cost: 0.0013 ips: 59.9734 images/s [03/17 12:07:12] ppdet.engine INFO: Epoch: [7] [300/523] learning_rate: 0.279623 loss_vfl: 1.451511 loss_bbox: 0.707858 loss_dfl: 0.517347 loss: 2.697248 eta: 1 day, 14:45:45 batch_cost: 1.1578 data_cost: 0.1114 ips: 48.3675 images/s [03/17 12:07:34] ppdet.engine INFO: Epoch: [7] [320/523] learning_rate: 0.279618 loss_vfl: 1.551378 loss_bbox: 0.747400 loss_dfl: 0.557967 loss: 2.887022 eta: 1 day, 14:46:50 batch_cost: 1.0207 data_cost: 0.0443 ips: 54.8667 images/s [03/17 12:07:56] ppdet.engine INFO: Epoch: [7] [340/523] learning_rate: 0.279614 loss_vfl: 1.440336 loss_bbox: 0.712460 loss_dfl: 0.496580 loss: 2.654897 eta: 1 day, 14:47:11 batch_cost: 0.9646 data_cost: 0.1045 ips: 58.0552 images/s [03/17 12:08:17] ppdet.engine INFO: Epoch: [7] [360/523] learning_rate: 0.279610 loss_vfl: 1.430619 loss_bbox: 0.717623 loss_dfl: 0.513190 loss: 2.678199 eta: 1 day, 14:47:51 batch_cost: 0.9901 data_cost: 0.1034 ips: 56.5586 images/s [03/17 12:08:40] ppdet.engine INFO: Epoch: [7] [380/523] learning_rate: 0.279606 loss_vfl: 1.411366 loss_bbox: 0.712892 loss_dfl: 0.513716 loss: 2.664646 eta: 1 day, 14:49:14 batch_cost: 1.0473 data_cost: 0.0012 ips: 53.4723 images/s [03/17 12:08:57] ppdet.engine INFO: Epoch: [7] [400/523] learning_rate: 0.279602 loss_vfl: 1.413728 loss_bbox: 0.669991 loss_dfl: 0.497135 loss: 2.602234 eta: 1 day, 14:46:43 batch_cost: 0.7374 data_cost: 0.0028 ips: 75.9442 images/s [03/17 12:09:16] ppdet.engine INFO: Epoch: [7] [420/523] learning_rate: 0.279597 loss_vfl: 1.412535 loss_bbox: 0.713316 loss_dfl: 0.513885 loss: 2.668419 eta: 1 day, 14:45:39 batch_cost: 0.8533 data_cost: 0.0008 ips: 65.6269 images/s [03/17 12:09:38] ppdet.engine INFO: Epoch: [7] [440/523] learning_rate: 0.279593 loss_vfl: 1.449865 loss_bbox: 0.699334 loss_dfl: 0.500990 loss: 2.641020 eta: 1 day, 14:46:16 batch_cost: 0.9867 data_cost: 0.0018 ips: 56.7573 images/s [03/17 12:09:58] ppdet.engine INFO: Epoch: [7] [460/523] learning_rate: 0.279589 loss_vfl: 1.420141 loss_bbox: 0.671010 loss_dfl: 0.490374 loss: 2.578514 eta: 1 day, 14:46:03 batch_cost: 0.9212 data_cost: 0.0053 ips: 60.7895 images/s [03/17 12:10:23] ppdet.engine INFO: Epoch: [7] [480/523] learning_rate: 0.279585 loss_vfl: 1.411226 loss_bbox: 0.723384 loss_dfl: 0.513208 loss: 2.682235 eta: 1 day, 14:48:24 batch_cost: 1.1288 data_cost: 0.0032 ips: 49.6111 images/s [03/17 12:10:46] ppdet.engine INFO: Epoch: [7] [500/523] learning_rate: 0.279580 loss_vfl: 1.480154 loss_bbox: 0.728624 loss_dfl: 0.532813 loss: 2.790718 eta: 1 day, 14:49:33 batch_cost: 1.0337 data_cost: 0.0034 ips: 54.1740 images/s [03/17 12:11:03] ppdet.engine INFO: Epoch: [7] [520/523] learning_rate: 0.279576 loss_vfl: 1.413336 loss_bbox: 0.708146 loss_dfl: 0.504468 loss: 2.658500 eta: 1 day, 14:47:06 batch_cost: 0.7388 data_cost: 0.0045 ips: 75.7985 images/s [03/17 12:11:15] ppdet.engine INFO: Epoch: [8] [ 0/523] learning_rate: 0.279575 loss_vfl: 1.429328 loss_bbox: 0.708146 loss_dfl: 0.509922 loss: 2.658500 eta: 1 day, 14:52:06 batch_cost: 1.1676 data_cost: 0.4839 ips: 47.9629 images/s [03/17 12:11:36] ppdet.engine INFO: Epoch: [8] [ 20/523] learning_rate: 0.279571 loss_vfl: 1.450936 loss_bbox: 0.719899 loss_dfl: 0.516278 loss: 2.704923 eta: 1 day, 14:51:45 batch_cost: 0.9134 data_cost: 0.0151 ips: 61.3091 images/s [03/17 12:11:57] ppdet.engine INFO: Epoch: [8] [ 40/523] learning_rate: 0.279566 loss_vfl: 1.364492 loss_bbox: 0.629558 loss_dfl: 0.471159 loss: 2.430489 eta: 1 day, 14:51:05 batch_cost: 0.8858 data_cost: 0.0034 ips: 63.2180 images/s [03/17 12:12:18] ppdet.engine INFO: Epoch: [8] [ 60/523] learning_rate: 0.279562 loss_vfl: 1.420808 loss_bbox: 0.693285 loss_dfl: 0.497840 loss: 2.601662 eta: 1 day, 14:50:47 batch_cost: 0.9157 data_cost: 0.0187 ips: 61.1527 images/s [03/17 12:12:38] ppdet.engine INFO: Epoch: [8] [ 80/523] learning_rate: 0.279558 loss_vfl: 1.439509 loss_bbox: 0.698441 loss_dfl: 0.496990 loss: 2.588020 eta: 1 day, 14:49:54 batch_cost: 0.8683 data_cost: 0.0115 ips: 64.4959 images/s [03/17 12:12:58] ppdet.engine INFO: Epoch: [8] [100/523] learning_rate: 0.279553 loss_vfl: 1.441414 loss_bbox: 0.686069 loss_dfl: 0.505733 loss: 2.628418 eta: 1 day, 14:48:26 batch_cost: 0.8186 data_cost: 0.0036 ips: 68.4105 images/s [03/17 12:13:21] ppdet.engine INFO: Epoch: [8] [120/523] learning_rate: 0.279549 loss_vfl: 1.452573 loss_bbox: 0.707323 loss_dfl: 0.508303 loss: 2.660269 eta: 1 day, 14:48:43 batch_cost: 0.9641 data_cost: 0.0079 ips: 58.0879 images/s [03/17 12:13:39] ppdet.engine INFO: Epoch: [8] [140/523] learning_rate: 0.279544 loss_vfl: 1.416461 loss_bbox: 0.683080 loss_dfl: 0.508567 loss: 2.602808 eta: 1 day, 14:46:48 batch_cost: 0.7791 data_cost: 0.0029 ips: 71.8743 images/s [03/17 12:13:56] ppdet.engine INFO: Epoch: [8] [160/523] learning_rate: 0.279540 loss_vfl: 1.415882 loss_bbox: 0.683915 loss_dfl: 0.496041 loss: 2.615595 eta: 1 day, 14:44:08 batch_cost: 0.7137 data_cost: 0.0003 ips: 78.4681 images/s [03/17 12:14:16] ppdet.engine INFO: Epoch: [8] [180/523] learning_rate: 0.279535 loss_vfl: 1.420248 loss_bbox: 0.719251 loss_dfl: 0.512716 loss: 2.680879 eta: 1 day, 14:43:26 batch_cost: 0.8798 data_cost: 0.0022 ips: 63.6483 images/s [03/17 12:14:35] ppdet.engine INFO: Epoch: [8] [200/523] learning_rate: 0.279530 loss_vfl: 1.479446 loss_bbox: 0.706765 loss_dfl: 0.507275 loss: 2.693487 eta: 1 day, 14:41:47 batch_cost: 0.7977 data_cost: 0.0013 ips: 70.1991 images/s [03/17 12:14:55] ppdet.engine INFO: Epoch: [8] [220/523] learning_rate: 0.279526 loss_vfl: 1.388644 loss_bbox: 0.666273 loss_dfl: 0.478164 loss: 2.531173 eta: 1 day, 14:41:08 batch_cost: 0.8831 data_cost: 0.0079 ips: 63.4123 images/s [03/17 12:15:18] ppdet.engine INFO: Epoch: [8] [240/523] learning_rate: 0.279521 loss_vfl: 1.414077 loss_bbox: 0.684830 loss_dfl: 0.493511 loss: 2.577959 eta: 1 day, 14:42:08 batch_cost: 1.0274 data_cost: 0.0028 ips: 54.5068 images/s [03/17 12:15:37] ppdet.engine INFO: Epoch: [8] [260/523] learning_rate: 0.279516 loss_vfl: 1.514945 loss_bbox: 0.688267 loss_dfl: 0.512053 loss: 2.697320 eta: 1 day, 14:40:45 batch_cost: 0.8186 data_cost: 0.0049 ips: 68.4087 images/s [03/17 12:15:58] ppdet.engine INFO: Epoch: [8] [280/523] learning_rate: 0.279512 loss_vfl: 1.431833 loss_bbox: 0.707877 loss_dfl: 0.509834 loss: 2.633061 eta: 1 day, 14:41:00 batch_cost: 0.9632 data_cost: 0.0145 ips: 58.1401 images/s [03/17 12:16:19] ppdet.engine INFO: Epoch: [8] [300/523] learning_rate: 0.279507 loss_vfl: 1.452830 loss_bbox: 0.683745 loss_dfl: 0.500167 loss: 2.608900 eta: 1 day, 14:40:32 batch_cost: 0.8986 data_cost: 0.0059 ips: 62.3173 images/s [03/17 12:16:39] ppdet.engine INFO: Epoch: [8] [320/523] learning_rate: 0.279502 loss_vfl: 1.395537 loss_bbox: 0.659458 loss_dfl: 0.496123 loss: 2.579234 eta: 1 day, 14:40:00 batch_cost: 0.8938 data_cost: 0.0065 ips: 62.6507 images/s [03/17 12:17:00] ppdet.engine INFO: Epoch: [8] [340/523] learning_rate: 0.279498 loss_vfl: 1.438726 loss_bbox: 0.717193 loss_dfl: 0.522816 loss: 2.727390 eta: 1 day, 14:39:42 batch_cost: 0.9135 data_cost: 0.0051 ips: 61.3016 images/s [03/17 12:17:22] ppdet.engine INFO: Epoch: [8] [360/523] learning_rate: 0.279493 loss_vfl: 1.487090 loss_bbox: 0.707283 loss_dfl: 0.499205 loss: 2.645794 eta: 1 day, 14:40:19 batch_cost: 0.9950 data_cost: 0.0027 ips: 56.2824 images/s [03/17 12:17:44] ppdet.engine INFO: Epoch: [8] [380/523] learning_rate: 0.279488 loss_vfl: 1.463417 loss_bbox: 0.707203 loss_dfl: 0.512672 loss: 2.697129 eta: 1 day, 14:40:10 batch_cost: 0.9283 data_cost: 0.0041 ips: 60.3268 images/s [03/17 12:18:04] ppdet.engine INFO: Epoch: [8] [400/523] learning_rate: 0.279483 loss_vfl: 1.425197 loss_bbox: 0.713540 loss_dfl: 0.507025 loss: 2.636615 eta: 1 day, 14:39:05 batch_cost: 0.8435 data_cost: 0.0003 ips: 66.3887 images/s [03/17 12:18:23] ppdet.engine INFO: Epoch: [8] [420/523] learning_rate: 0.279478 loss_vfl: 1.362402 loss_bbox: 0.649117 loss_dfl: 0.485302 loss: 2.539720 eta: 1 day, 14:37:33 batch_cost: 0.8023 data_cost: 0.0065 ips: 69.7966 images/s [03/17 12:18:41] ppdet.engine INFO: Epoch: [8] [440/523] learning_rate: 0.279474 loss_vfl: 1.475796 loss_bbox: 0.718118 loss_dfl: 0.515928 loss: 2.719600 eta: 1 day, 14:35:57 batch_cost: 0.7953 data_cost: 0.0116 ips: 70.4151 images/s [03/17 12:18:59] ppdet.engine INFO: Epoch: [8] [460/523] learning_rate: 0.279469 loss_vfl: 1.420452 loss_bbox: 0.707436 loss_dfl: 0.502931 loss: 2.639244 eta: 1 day, 14:34:24 batch_cost: 0.7980 data_cost: 0.0052 ips: 70.1780 images/s [03/17 12:19:20] ppdet.engine INFO: Epoch: [8] [480/523] learning_rate: 0.279464 loss_vfl: 1.519169 loss_bbox: 0.709511 loss_dfl: 0.530185 loss: 2.763408 eta: 1 day, 14:33:58 batch_cost: 0.9005 data_cost: 0.0013 ips: 62.1906 images/s [03/17 12:19:40] ppdet.engine INFO: Epoch: [8] [500/523] learning_rate: 0.279459 loss_vfl: 1.440745 loss_bbox: 0.693383 loss_dfl: 0.510745 loss: 2.656806 eta: 1 day, 14:33:06 batch_cost: 0.8593 data_cost: 0.0076 ips: 65.1709 images/s [03/17 12:19:58] ppdet.engine INFO: Epoch: [8] 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0.664425 loss_dfl: 0.482925 loss: 2.582301 eta: 1 day, 14:35:50 batch_cost: 1.0320 data_cost: 0.0039 ips: 54.2631 images/s [03/17 12:21:34] ppdet.engine INFO: Epoch: [9] [ 80/523] learning_rate: 0.279433 loss_vfl: 1.444431 loss_bbox: 0.708625 loss_dfl: 0.510582 loss: 2.670416 eta: 1 day, 14:34:57 batch_cost: 0.8598 data_cost: 0.0037 ips: 65.1340 images/s [03/17 12:21:56] ppdet.engine INFO: Epoch: [9] [100/523] learning_rate: 0.279428 loss_vfl: 1.422798 loss_bbox: 0.735132 loss_dfl: 0.517752 loss: 2.684791 eta: 1 day, 14:34:51 batch_cost: 0.9321 data_cost: 0.0029 ips: 60.0774 images/s [03/17 12:22:17] ppdet.engine INFO: Epoch: [9] [120/523] learning_rate: 0.279423 loss_vfl: 1.439231 loss_bbox: 0.660043 loss_dfl: 0.489574 loss: 2.584370 eta: 1 day, 14:34:32 batch_cost: 0.9115 data_cost: 0.0046 ips: 61.4383 images/s [03/17 12:22:37] ppdet.engine INFO: Epoch: [9] [140/523] learning_rate: 0.279418 loss_vfl: 1.387391 loss_bbox: 0.667696 loss_dfl: 0.483093 loss: 2.546999 eta: 1 day, 14:33:35 batch_cost: 0.8517 data_cost: 0.0045 ips: 65.7526 images/s [03/17 12:23:00] ppdet.engine INFO: Epoch: [9] [160/523] learning_rate: 0.279413 loss_vfl: 1.394620 loss_bbox: 0.683696 loss_dfl: 0.500225 loss: 2.597729 eta: 1 day, 14:33:12 batch_cost: 0.9050 data_cost: 0.0009 ips: 61.8816 images/s [03/17 12:23:20] ppdet.engine INFO: Epoch: [9] [180/523] learning_rate: 0.279408 loss_vfl: 1.442180 loss_bbox: 0.684985 loss_dfl: 0.510062 loss: 2.658931 eta: 1 day, 14:32:41 batch_cost: 0.8930 data_cost: 0.0126 ips: 62.7128 images/s [03/17 12:23:37] ppdet.engine INFO: Epoch: [9] [200/523] learning_rate: 0.279402 loss_vfl: 1.477598 loss_bbox: 0.720063 loss_dfl: 0.511863 loss: 2.685798 eta: 1 day, 14:30:15 batch_cost: 0.7069 data_cost: 0.0030 ips: 79.2153 images/s [03/17 12:23:56] ppdet.engine INFO: Epoch: [9] [220/523] learning_rate: 0.279397 loss_vfl: 1.441971 loss_bbox: 0.695480 loss_dfl: 0.514854 loss: 2.688040 eta: 1 day, 14:28:56 batch_cost: 0.8126 data_cost: 0.0086 ips: 68.9160 images/s [03/17 12:24:15] ppdet.engine INFO: Epoch: [9] [240/523] learning_rate: 0.279392 loss_vfl: 1.432707 loss_bbox: 0.708222 loss_dfl: 0.515972 loss: 2.644845 eta: 1 day, 14:28:05 batch_cost: 0.8585 data_cost: 0.0075 ips: 65.2313 images/s [03/17 12:24:36] ppdet.engine INFO: Epoch: [9] [260/523] learning_rate: 0.279387 loss_vfl: 1.426556 loss_bbox: 0.715352 loss_dfl: 0.511246 loss: 2.652132 eta: 1 day, 14:27:32 batch_cost: 0.8880 data_cost: 0.0570 ips: 63.0603 images/s [03/17 12:24:56] ppdet.engine INFO: Epoch: [9] [280/523] learning_rate: 0.279382 loss_vfl: 1.391542 loss_bbox: 0.682575 loss_dfl: 0.488323 loss: 2.548680 eta: 1 day, 14:27:15 batch_cost: 0.9122 data_cost: 0.1198 ips: 61.3878 images/s [03/17 12:25:16] ppdet.engine INFO: Epoch: [9] [300/523] learning_rate: 0.279376 loss_vfl: 1.412487 loss_bbox: 0.690824 loss_dfl: 0.495611 loss: 2.594363 eta: 1 day, 14:25:54 batch_cost: 0.8082 data_cost: 0.0016 ips: 69.2922 images/s [03/17 12:25:37] ppdet.engine INFO: Epoch: [9] [320/523] learning_rate: 0.279371 loss_vfl: 1.422833 loss_bbox: 0.707350 loss_dfl: 0.510517 loss: 2.620601 eta: 1 day, 14:25:21 batch_cost: 0.8863 data_cost: 0.0250 ips: 63.1871 images/s [03/17 12:25:59] ppdet.engine INFO: Epoch: [9] [340/523] learning_rate: 0.279366 loss_vfl: 1.457937 loss_bbox: 0.733575 loss_dfl: 0.535496 loss: 2.725727 eta: 1 day, 14:24:43 batch_cost: 0.8783 data_cost: 0.2073 ips: 63.7595 images/s [03/17 12:26:21] ppdet.engine INFO: Epoch: [9] [360/523] learning_rate: 0.279360 loss_vfl: 1.468969 loss_bbox: 0.693725 loss_dfl: 0.520447 loss: 2.707447 eta: 1 day, 14:24:35 batch_cost: 0.9276 data_cost: 0.2068 ips: 60.3689 images/s [03/17 12:26:41] ppdet.engine INFO: Epoch: [9] [380/523] learning_rate: 0.279355 loss_vfl: 1.459441 loss_bbox: 0.687494 loss_dfl: 0.514438 loss: 2.658510 eta: 1 day, 14:23:54 batch_cost: 0.8728 data_cost: 0.0589 ips: 64.1636 images/s [03/17 12:27:03] ppdet.engine INFO: Epoch: [9] [400/523] learning_rate: 0.279350 loss_vfl: 1.328601 loss_bbox: 0.619003 loss_dfl: 0.460660 loss: 2.391710 eta: 1 day, 14:24:04 batch_cost: 0.9580 data_cost: 0.0048 ips: 58.4538 images/s [03/17 12:27:22] ppdet.engine INFO: Epoch: [9] [420/523] learning_rate: 0.279344 loss_vfl: 1.398964 loss_bbox: 0.678581 loss_dfl: 0.496638 loss: 2.581552 eta: 1 day, 14:22:29 batch_cost: 0.7810 data_cost: 0.0018 ips: 71.7002 images/s [03/17 12:27:44] ppdet.engine INFO: Epoch: [9] [440/523] learning_rate: 0.279339 loss_vfl: 1.372962 loss_bbox: 0.661896 loss_dfl: 0.475966 loss: 2.491444 eta: 1 day, 14:21:54 batch_cost: 0.8818 data_cost: 0.0436 ips: 63.5062 images/s [03/17 12:28:04] ppdet.engine INFO: Epoch: [9] [460/523] learning_rate: 0.279333 loss_vfl: 1.413033 loss_bbox: 0.655871 loss_dfl: 0.491817 loss: 2.529596 eta: 1 day, 14:20:49 batch_cost: 0.8303 data_cost: 0.0822 ips: 67.4484 images/s [03/17 12:28:24] ppdet.engine INFO: Epoch: [9] [480/523] learning_rate: 0.279328 loss_vfl: 1.339612 loss_bbox: 0.661813 loss_dfl: 0.484700 loss: 2.493097 eta: 1 day, 14:19:18 batch_cost: 0.7857 data_cost: 0.0899 ips: 71.2702 images/s [03/17 12:28:41] ppdet.engine INFO: Epoch: [9] [500/523] learning_rate: 0.279322 loss_vfl: 1.399591 loss_bbox: 0.708761 loss_dfl: 0.500760 loss: 2.608402 eta: 1 day, 14:16:11 batch_cost: 0.6192 data_cost: 0.0015 ips: 90.4338 images/s [03/17 12:28:56] ppdet.engine INFO: Epoch: [9] [520/523] learning_rate: 0.279317 loss_vfl: 1.472156 loss_bbox: 0.724469 loss_dfl: 0.543104 loss: 2.735378 eta: 1 day, 14:13:15 batch_cost: 0.6354 data_cost: 0.0033 ips: 88.1371 images/s [03/17 12:28:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 12:28:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco loading annotations into memory... Done (t=0.74s) creating index... index created! loading annotations into memory... Done (t=1.26s) creating index... index created! [03/17 12:29:05] ppdet.engine INFO: Eval iter: 0 [03/17 12:29:26] ppdet.engine INFO: Eval iter: 100 [03/17 12:29:41] ppdet.engine INFO: Eval iter: 200 [03/17 12:29:55] ppdet.engine INFO: Eval iter: 300 [03/17 12:30:09] ppdet.engine INFO: Eval iter: 400 [03/17 12:30:24] ppdet.engine INFO: Eval iter: 500 [03/17 12:30:38] ppdet.engine INFO: Eval iter: 600 [03/17 12:30:53] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.60s) creating index... index created! [03/17 12:30:54] 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=82.53s). Accumulating evaluation results... DONE (t=16.96s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.125 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.211 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.127 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.039 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.118 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.214 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.172 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.287 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.302 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.073 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.314 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.507 [03/17 12:32:40] ppdet.engine INFO: Total sample number: 4952, averge FPS: 50.656054322919985 [03/17 12:32:40] ppdet.engine INFO: Best test bbox ap is 0.125. [03/17 12:32:40] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 12:32:41] ppdet.engine INFO: Epoch: [10] [ 0/523] learning_rate: 0.279316 loss_vfl: 1.503397 loss_bbox: 0.724469 loss_dfl: 0.543104 loss: 2.770058 eta: 1 day, 14:12:17 batch_cost: 0.5561 data_cost: 0.0023 ips: 100.6932 images/s [03/17 12:32:55] ppdet.engine INFO: Epoch: [10] [ 20/523] learning_rate: 0.279310 loss_vfl: 1.472730 loss_bbox: 0.690044 loss_dfl: 0.499042 loss: 2.653729 eta: 1 day, 14:08:48 batch_cost: 0.5776 data_cost: 0.0048 ips: 96.9608 images/s [03/17 12:33:17] ppdet.engine INFO: Epoch: [10] [ 40/523] learning_rate: 0.279305 loss_vfl: 1.405965 loss_bbox: 0.688597 loss_dfl: 0.501981 loss: 2.602718 eta: 1 day, 14:08:22 batch_cost: 0.8918 data_cost: 0.0065 ips: 62.7973 images/s [03/17 12:33:37] ppdet.engine INFO: Epoch: [10] [ 60/523] learning_rate: 0.279299 loss_vfl: 1.480100 loss_bbox: 0.723246 loss_dfl: 0.532568 loss: 2.752588 eta: 1 day, 14:07:21 batch_cost: 0.8309 data_cost: 0.0020 ips: 67.3942 images/s [03/17 12:33:59] ppdet.engine INFO: Epoch: [10] [ 80/523] learning_rate: 0.279293 loss_vfl: 1.429387 loss_bbox: 0.707761 loss_dfl: 0.512838 loss: 2.666031 eta: 1 day, 14:07:20 batch_cost: 0.9338 data_cost: 0.0417 ips: 59.9706 images/s [03/17 12:34:22] ppdet.engine INFO: Epoch: [10] [100/523] learning_rate: 0.279288 loss_vfl: 1.371067 loss_bbox: 0.665024 loss_dfl: 0.486885 loss: 2.515944 eta: 1 day, 14:07:09 batch_cost: 0.9188 data_cost: 0.0087 ips: 60.9472 images/s [03/17 12:34:42] ppdet.engine INFO: Epoch: [10] [120/523] learning_rate: 0.279282 loss_vfl: 1.463645 loss_bbox: 0.733295 loss_dfl: 0.528422 loss: 2.672921 eta: 1 day, 14:06:07 batch_cost: 0.8273 data_cost: 0.0030 ips: 67.6884 images/s [03/17 12:35:03] ppdet.engine INFO: Epoch: [10] [140/523] learning_rate: 0.279276 loss_vfl: 1.409629 loss_bbox: 0.726633 loss_dfl: 0.505998 loss: 2.644529 eta: 1 day, 14:06:03 batch_cost: 0.9304 data_cost: 0.0021 ips: 60.1897 images/s [03/17 12:35:24] ppdet.engine INFO: Epoch: [10] [160/523] learning_rate: 0.279271 loss_vfl: 1.459961 loss_bbox: 0.703952 loss_dfl: 0.522069 loss: 2.696863 eta: 1 day, 14:05:58 batch_cost: 0.9282 data_cost: 0.0107 ips: 60.3332 images/s [03/17 12:35:43] ppdet.engine INFO: Epoch: [10] [180/523] learning_rate: 0.279265 loss_vfl: 1.468919 loss_bbox: 0.687393 loss_dfl: 0.507078 loss: 2.670385 eta: 1 day, 14:04:44 batch_cost: 0.8063 data_cost: 0.0344 ips: 69.4507 images/s [03/17 12:36:06] ppdet.engine INFO: Epoch: [10] [200/523] learning_rate: 0.279259 loss_vfl: 1.493256 loss_bbox: 0.713565 loss_dfl: 0.520542 loss: 2.743767 eta: 1 day, 14:04:47 batch_cost: 0.9415 data_cost: 0.0042 ips: 59.4801 images/s [03/17 12:36:27] ppdet.engine INFO: Epoch: [10] [220/523] learning_rate: 0.279253 loss_vfl: 1.571522 loss_bbox: 0.743878 loss_dfl: 0.548173 loss: 2.852986 eta: 1 day, 14:04:15 batch_cost: 0.8808 data_cost: 0.0404 ips: 63.5817 images/s [03/17 12:36:48] ppdet.engine INFO: Epoch: [10] [240/523] learning_rate: 0.279248 loss_vfl: 1.447784 loss_bbox: 0.676287 loss_dfl: 0.502794 loss: 2.621367 eta: 1 day, 14:03:59 batch_cost: 0.9082 data_cost: 0.1248 ips: 61.6586 images/s [03/17 12:37:07] ppdet.engine INFO: Epoch: [10] [260/523] learning_rate: 0.279242 loss_vfl: 1.426920 loss_bbox: 0.707347 loss_dfl: 0.504248 loss: 2.667014 eta: 1 day, 14:03:15 batch_cost: 0.8581 data_cost: 0.1217 ips: 65.2640 images/s [03/17 12:37:28] ppdet.engine INFO: Epoch: [10] [280/523] learning_rate: 0.279236 loss_vfl: 1.366034 loss_bbox: 0.656604 loss_dfl: 0.479110 loss: 2.534494 eta: 1 day, 14:02:43 batch_cost: 0.8794 data_cost: 0.0039 ips: 63.6791 images/s [03/17 12:37:43] ppdet.engine INFO: Epoch: [10] [300/523] learning_rate: 0.279230 loss_vfl: 1.414537 loss_bbox: 0.686473 loss_dfl: 0.495558 loss: 2.572014 eta: 1 day, 13:59:52 batch_cost: 0.6263 data_cost: 0.0052 ips: 89.4164 images/s [03/17 12:38:03] ppdet.engine INFO: Epoch: [10] [320/523] learning_rate: 0.279224 loss_vfl: 1.446225 loss_bbox: 0.690297 loss_dfl: 0.501641 loss: 2.621962 eta: 1 day, 13:59:28 batch_cost: 0.8918 data_cost: 0.1112 ips: 62.7959 images/s [03/17 12:38:24] ppdet.engine INFO: Epoch: [10] [340/523] learning_rate: 0.279218 loss_vfl: 1.455881 loss_bbox: 0.694173 loss_dfl: 0.513610 loss: 2.692465 eta: 1 day, 13:58:40 batch_cost: 0.8501 data_cost: 0.0056 ips: 65.8754 images/s [03/17 12:38:43] ppdet.engine INFO: Epoch: [10] [360/523] learning_rate: 0.279212 loss_vfl: 1.480466 loss_bbox: 0.712664 loss_dfl: 0.528265 loss: 2.733452 eta: 1 day, 13:57:50 batch_cost: 0.8441 data_cost: 0.0003 ips: 66.3391 images/s [03/17 12:39:05] ppdet.engine INFO: Epoch: [10] [380/523] learning_rate: 0.279206 loss_vfl: 1.406276 loss_bbox: 0.696143 loss_dfl: 0.505436 loss: 2.611967 eta: 1 day, 13:57:28 batch_cost: 0.8945 data_cost: 0.0064 ips: 62.6052 images/s [03/17 12:39:24] ppdet.engine INFO: Epoch: [10] [400/523] learning_rate: 0.279200 loss_vfl: 1.426479 loss_bbox: 0.724842 loss_dfl: 0.511994 loss: 2.658942 eta: 1 day, 13:56:17 batch_cost: 0.8050 data_cost: 0.0035 ips: 69.5647 images/s [03/17 12:39:44] ppdet.engine INFO: Epoch: [10] [420/523] learning_rate: 0.279194 loss_vfl: 1.408433 loss_bbox: 0.689906 loss_dfl: 0.491178 loss: 2.554801 eta: 1 day, 13:55:49 batch_cost: 0.8845 data_cost: 0.1603 ips: 63.3128 images/s [03/17 12:40:05] ppdet.engine INFO: Epoch: [10] [440/523] learning_rate: 0.279188 loss_vfl: 1.394016 loss_bbox: 0.677006 loss_dfl: 0.487144 loss: 2.567026 eta: 1 day, 13:55:24 batch_cost: 0.8902 data_cost: 0.0535 ips: 62.9087 images/s [03/17 12:40:27] ppdet.engine INFO: Epoch: [10] [460/523] learning_rate: 0.279182 loss_vfl: 1.391664 loss_bbox: 0.683889 loss_dfl: 0.504590 loss: 2.599743 eta: 1 day, 13:55:06 batch_cost: 0.9021 data_cost: 0.0585 ips: 62.0771 images/s [03/17 12:40:46] ppdet.engine INFO: Epoch: [10] [480/523] learning_rate: 0.279176 loss_vfl: 1.403449 loss_bbox: 0.696613 loss_dfl: 0.509051 loss: 2.589806 eta: 1 day, 13:54:02 batch_cost: 0.8161 data_cost: 0.0053 ips: 68.6195 images/s [03/17 12:41:07] ppdet.engine INFO: Epoch: [10] [500/523] learning_rate: 0.279170 loss_vfl: 1.435119 loss_bbox: 0.701938 loss_dfl: 0.516879 loss: 2.678766 eta: 1 day, 13:53:18 batch_cost: 0.8536 data_cost: 0.0067 ips: 65.6046 images/s [03/17 12:41:23] ppdet.engine INFO: Epoch: [10] [520/523] learning_rate: 0.279164 loss_vfl: 1.460842 loss_bbox: 0.729143 loss_dfl: 0.528778 loss: 2.702618 eta: 1 day, 13:50:50 batch_cost: 0.6551 data_cost: 0.0006 ips: 85.4777 images/s [03/17 12:41:33] ppdet.engine INFO: Epoch: [11] [ 0/523] learning_rate: 0.279163 loss_vfl: 1.454371 loss_bbox: 0.723024 loss_dfl: 0.521566 loss: 2.662812 eta: 1 day, 13:53:27 batch_cost: 0.9867 data_cost: 0.3733 ips: 56.7552 images/s [03/17 12:41:55] ppdet.engine INFO: Epoch: [11] [ 20/523] learning_rate: 0.279157 loss_vfl: 1.406235 loss_bbox: 0.683733 loss_dfl: 0.508382 loss: 2.613561 eta: 1 day, 13:52:51 batch_cost: 0.8683 data_cost: 0.0023 ips: 64.4927 images/s [03/17 12:42:16] ppdet.engine INFO: Epoch: [11] [ 40/523] learning_rate: 0.279151 loss_vfl: 1.368517 loss_bbox: 0.643492 loss_dfl: 0.471473 loss: 2.460550 eta: 1 day, 13:52:57 batch_cost: 0.9482 data_cost: 0.0992 ips: 59.0573 images/s [03/17 12:42:34] ppdet.engine INFO: Epoch: [11] [ 60/523] learning_rate: 0.279145 loss_vfl: 1.416092 loss_bbox: 0.706695 loss_dfl: 0.509117 loss: 2.653904 eta: 1 day, 13:51:18 batch_cost: 0.7463 data_cost: 0.0028 ips: 75.0350 images/s [03/17 12:42:51] ppdet.engine INFO: Epoch: [11] [ 80/523] learning_rate: 0.279138 loss_vfl: 1.447530 loss_bbox: 0.677671 loss_dfl: 0.493174 loss: 2.570093 eta: 1 day, 13:49:24 batch_cost: 0.7170 data_cost: 0.0027 ips: 78.1054 images/s [03/17 12:43:12] ppdet.engine INFO: Epoch: [11] [100/523] learning_rate: 0.279132 loss_vfl: 1.388125 loss_bbox: 0.686493 loss_dfl: 0.498434 loss: 2.592299 eta: 1 day, 13:48:46 batch_cost: 0.8642 data_cost: 0.0075 ips: 64.8021 images/s [03/17 12:43:29] ppdet.engine INFO: Epoch: [11] [120/523] learning_rate: 0.279126 loss_vfl: 1.443177 loss_bbox: 0.723429 loss_dfl: 0.516602 loss: 2.651942 eta: 1 day, 13:47:02 batch_cost: 0.7326 data_cost: 0.0083 ips: 76.4419 images/s [03/17 12:43:53] ppdet.engine INFO: Epoch: [11] [140/523] learning_rate: 0.279120 loss_vfl: 1.347529 loss_bbox: 0.656914 loss_dfl: 0.498429 loss: 2.515424 eta: 1 day, 13:47:51 batch_cost: 1.0320 data_cost: 0.0040 ips: 54.2626 images/s [03/17 12:44:14] ppdet.engine INFO: Epoch: [11] [160/523] learning_rate: 0.279113 loss_vfl: 1.367441 loss_bbox: 0.687155 loss_dfl: 0.509825 loss: 2.585613 eta: 1 day, 13:47:47 batch_cost: 0.9292 data_cost: 0.0539 ips: 60.2656 images/s [03/17 12:44:35] ppdet.engine INFO: Epoch: [11] [180/523] learning_rate: 0.279107 loss_vfl: 1.341517 loss_bbox: 0.633681 loss_dfl: 0.470100 loss: 2.433994 eta: 1 day, 13:47:19 batch_cost: 0.8815 data_cost: 0.0107 ips: 63.5295 images/s [03/17 12:44:55] ppdet.engine INFO: Epoch: [11] [200/523] learning_rate: 0.279101 loss_vfl: 1.481066 loss_bbox: 0.720144 loss_dfl: 0.525721 loss: 2.728157 eta: 1 day, 13:46:10 batch_cost: 0.8009 data_cost: 0.0022 ips: 69.9226 images/s [03/17 12:45:14] ppdet.engine INFO: Epoch: [11] [220/523] learning_rate: 0.279094 loss_vfl: 1.369142 loss_bbox: 0.660585 loss_dfl: 0.486476 loss: 2.550710 eta: 1 day, 13:44:44 batch_cost: 0.7650 data_cost: 0.0779 ips: 73.2006 images/s [03/17 12:45:34] ppdet.engine INFO: Epoch: [11] [240/523] learning_rate: 0.279088 loss_vfl: 1.351435 loss_bbox: 0.666912 loss_dfl: 0.492462 loss: 2.493836 eta: 1 day, 13:44:01 batch_cost: 0.8515 data_cost: 0.0059 ips: 65.7636 images/s [03/17 12:45:53] ppdet.engine INFO: Epoch: [11] [260/523] learning_rate: 0.279082 loss_vfl: 1.443506 loss_bbox: 0.739419 loss_dfl: 0.526410 loss: 2.688742 eta: 1 day, 13:42:46 batch_cost: 0.7851 data_cost: 0.0216 ips: 71.3240 images/s [03/17 12:46:16] ppdet.engine INFO: Epoch: [11] [280/523] learning_rate: 0.279075 loss_vfl: 1.430886 loss_bbox: 0.685570 loss_dfl: 0.501300 loss: 2.606380 eta: 1 day, 13:43:28 batch_cost: 1.0210 data_cost: 0.0215 ips: 54.8476 images/s [03/17 12:46:35] ppdet.engine INFO: Epoch: [11] [300/523] learning_rate: 0.279069 loss_vfl: 1.401022 loss_bbox: 0.695702 loss_dfl: 0.517134 loss: 2.623068 eta: 1 day, 13:42:01 batch_cost: 0.7615 data_cost: 0.0025 ips: 73.5350 images/s [03/17 12:46:55] ppdet.engine INFO: Epoch: [11] [320/523] learning_rate: 0.279062 loss_vfl: 1.423705 loss_bbox: 0.703310 loss_dfl: 0.509291 loss: 2.619151 eta: 1 day, 13:41:43 batch_cost: 0.8988 data_cost: 0.0043 ips: 62.3075 images/s [03/17 12:47:18] ppdet.engine INFO: Epoch: [11] [340/523] learning_rate: 0.279056 loss_vfl: 1.460677 loss_bbox: 0.721112 loss_dfl: 0.532626 loss: 2.692105 eta: 1 day, 13:41:43 batch_cost: 0.9369 data_cost: 0.0884 ips: 59.7737 images/s [03/17 12:47:36] ppdet.engine INFO: Epoch: [11] [360/523] learning_rate: 0.279049 loss_vfl: 1.467246 loss_bbox: 0.719405 loss_dfl: 0.523111 loss: 2.697396 eta: 1 day, 13:39:43 batch_cost: 0.6926 data_cost: 0.0066 ips: 80.8601 images/s [03/17 12:47:53] ppdet.engine INFO: Epoch: [11] [380/523] learning_rate: 0.279043 loss_vfl: 1.374573 loss_bbox: 0.660442 loss_dfl: 0.478553 loss: 2.489259 eta: 1 day, 13:37:32 batch_cost: 0.6694 data_cost: 0.0073 ips: 83.6560 images/s [03/17 12:48:12] ppdet.engine INFO: Epoch: [11] [400/523] learning_rate: 0.279036 loss_vfl: 1.355861 loss_bbox: 0.667485 loss_dfl: 0.485374 loss: 2.500096 eta: 1 day, 13:36:51 batch_cost: 0.8508 data_cost: 0.0953 ips: 65.8234 images/s [03/17 12:48:31] ppdet.engine INFO: Epoch: [11] [420/523] learning_rate: 0.279029 loss_vfl: 1.355531 loss_bbox: 0.644853 loss_dfl: 0.467555 loss: 2.467868 eta: 1 day, 13:35:49 batch_cost: 0.8090 data_cost: 0.0139 ips: 69.2247 images/s [03/17 12:48:54] ppdet.engine INFO: Epoch: [11] [440/523] learning_rate: 0.279023 loss_vfl: 1.370278 loss_bbox: 0.648869 loss_dfl: 0.473515 loss: 2.521266 eta: 1 day, 13:35:33 batch_cost: 0.9017 data_cost: 0.0218 ips: 62.1018 images/s [03/17 12:49:14] ppdet.engine INFO: Epoch: [11] [460/523] learning_rate: 0.279016 loss_vfl: 1.377700 loss_bbox: 0.658811 loss_dfl: 0.489227 loss: 2.529840 eta: 1 day, 13:34:51 batch_cost: 0.8498 data_cost: 0.0029 ips: 65.9003 images/s [03/17 12:49:35] ppdet.engine INFO: Epoch: [11] [480/523] learning_rate: 0.279010 loss_vfl: 1.351246 loss_bbox: 0.666464 loss_dfl: 0.491367 loss: 2.488398 eta: 1 day, 13:34:34 batch_cost: 0.8980 data_cost: 0.0044 ips: 62.3613 images/s [03/17 12:49:55] ppdet.engine INFO: Epoch: [11] [500/523] learning_rate: 0.279003 loss_vfl: 1.420768 loss_bbox: 0.712919 loss_dfl: 0.520320 loss: 2.655191 eta: 1 day, 13:34:14 batch_cost: 0.8951 data_cost: 0.0057 ips: 62.5610 images/s [03/17 12:50:12] ppdet.engine INFO: Epoch: [11] [520/523] learning_rate: 0.278996 loss_vfl: 1.398218 loss_bbox: 0.662077 loss_dfl: 0.487784 loss: 2.553348 eta: 1 day, 13:32:35 batch_cost: 0.7282 data_cost: 0.0633 ips: 76.8999 images/s [03/17 12:50:25] ppdet.engine INFO: Epoch: [12] [ 0/523] learning_rate: 0.278995 loss_vfl: 1.419765 loss_bbox: 0.686047 loss_dfl: 0.520624 loss: 2.632379 eta: 1 day, 13:36:18 batch_cost: 1.1941 data_cost: 0.5156 ips: 46.8973 images/s [03/17 12:50:46] ppdet.engine INFO: Epoch: [12] [ 20/523] learning_rate: 0.278988 loss_vfl: 1.413809 loss_bbox: 0.672004 loss_dfl: 0.496634 loss: 2.609783 eta: 1 day, 13:35:45 batch_cost: 0.8681 data_cost: 0.0016 ips: 64.5111 images/s [03/17 12:51:07] ppdet.engine INFO: Epoch: [12] [ 40/523] learning_rate: 0.278982 loss_vfl: 1.396766 loss_bbox: 0.697348 loss_dfl: 0.513198 loss: 2.631784 eta: 1 day, 13:35:20 batch_cost: 0.8830 data_cost: 0.0053 ips: 63.4203 images/s [03/17 12:51:28] ppdet.engine INFO: Epoch: [12] [ 60/523] learning_rate: 0.278975 loss_vfl: 1.337430 loss_bbox: 0.649963 loss_dfl: 0.479803 loss: 2.472494 eta: 1 day, 13:34:55 batch_cost: 0.8850 data_cost: 0.0213 ips: 63.2795 images/s [03/17 12:51:47] ppdet.engine INFO: Epoch: [12] [ 80/523] learning_rate: 0.278968 loss_vfl: 1.302273 loss_bbox: 0.642000 loss_dfl: 0.472526 loss: 2.425608 eta: 1 day, 13:34:08 batch_cost: 0.8363 data_cost: 0.0053 ips: 66.9628 images/s [03/17 12:52:07] ppdet.engine INFO: Epoch: [12] [100/523] learning_rate: 0.278961 loss_vfl: 1.283188 loss_bbox: 0.635498 loss_dfl: 0.457095 loss: 2.351218 eta: 1 day, 13:33:27 batch_cost: 0.8499 data_cost: 0.0013 ips: 65.8892 images/s [03/17 12:52:26] ppdet.engine INFO: Epoch: [12] [120/523] learning_rate: 0.278954 loss_vfl: 1.323964 loss_bbox: 0.627349 loss_dfl: 0.479426 loss: 2.418934 eta: 1 day, 13:32:04 batch_cost: 0.7599 data_cost: 0.0570 ips: 73.6906 images/s [03/17 12:52:44] ppdet.engine INFO: Epoch: [12] [140/523] learning_rate: 0.278948 loss_vfl: 1.388725 loss_bbox: 0.678712 loss_dfl: 0.501892 loss: 2.611982 eta: 1 day, 13:30:54 batch_cost: 0.7867 data_cost: 0.1143 ips: 71.1823 images/s [03/17 12:53:02] ppdet.engine INFO: Epoch: [12] [160/523] learning_rate: 0.278941 loss_vfl: 1.381021 loss_bbox: 0.681458 loss_dfl: 0.497847 loss: 2.547934 eta: 1 day, 13:29:00 batch_cost: 0.6922 data_cost: 0.0155 ips: 80.8962 images/s [03/17 12:53:23] ppdet.engine INFO: Epoch: [12] 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loss_bbox: 0.617797 loss_dfl: 0.472974 loss: 2.432895 eta: 1 day, 13:24:53 batch_cost: 0.8507 data_cost: 0.0389 ips: 65.8256 images/s [03/17 12:55:03] ppdet.engine INFO: Epoch: [12] [280/523] learning_rate: 0.278899 loss_vfl: 1.350501 loss_bbox: 0.661445 loss_dfl: 0.491177 loss: 2.505366 eta: 1 day, 13:24:08 batch_cost: 0.8375 data_cost: 0.0021 ips: 66.8697 images/s [03/17 12:55:24] ppdet.engine INFO: Epoch: [12] [300/523] learning_rate: 0.278892 loss_vfl: 1.437273 loss_bbox: 0.686615 loss_dfl: 0.503674 loss: 2.615195 eta: 1 day, 13:23:33 batch_cost: 0.8581 data_cost: 0.0056 ips: 65.2584 images/s [03/17 12:55:44] ppdet.engine INFO: Epoch: [12] [320/523] learning_rate: 0.278885 loss_vfl: 1.430662 loss_bbox: 0.675297 loss_dfl: 0.501495 loss: 2.607476 eta: 1 day, 13:23:03 batch_cost: 0.8693 data_cost: 0.0056 ips: 64.4212 images/s [03/17 12:56:05] ppdet.engine INFO: Epoch: [12] [340/523] learning_rate: 0.278878 loss_vfl: 1.343154 loss_bbox: 0.666023 loss_dfl: 0.488827 loss: 2.495344 eta: 1 day, 13:22:37 batch_cost: 0.8767 data_cost: 0.0076 ips: 63.8785 images/s [03/17 12:56:24] ppdet.engine INFO: Epoch: [12] [360/523] learning_rate: 0.278871 loss_vfl: 1.449892 loss_bbox: 0.729528 loss_dfl: 0.525624 loss: 2.695744 eta: 1 day, 13:21:32 batch_cost: 0.7911 data_cost: 0.0044 ips: 70.7831 images/s [03/17 12:56:46] ppdet.engine INFO: Epoch: [12] [380/523] learning_rate: 0.278863 loss_vfl: 1.371492 loss_bbox: 0.638779 loss_dfl: 0.478425 loss: 2.473138 eta: 1 day, 13:21:17 batch_cost: 0.9030 data_cost: 0.0061 ips: 62.0164 images/s [03/17 12:57:09] ppdet.engine INFO: Epoch: [12] [400/523] learning_rate: 0.278856 loss_vfl: 1.356170 loss_bbox: 0.633050 loss_dfl: 0.489807 loss: 2.473773 eta: 1 day, 13:21:19 batch_cost: 0.9392 data_cost: 0.0758 ips: 59.6223 images/s [03/17 12:57:27] ppdet.engine INFO: Epoch: [12] [420/523] learning_rate: 0.278849 loss_vfl: 1.438620 loss_bbox: 0.681592 loss_dfl: 0.514309 loss: 2.617465 eta: 1 day, 13:19:52 batch_cost: 0.7403 data_cost: 0.0031 ips: 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[12] [520/523] learning_rate: 0.278813 loss_vfl: 1.437558 loss_bbox: 0.681539 loss_dfl: 0.508045 loss: 2.618377 eta: 1 day, 13:15:11 batch_cost: 0.6934 data_cost: 0.0056 ips: 80.7599 images/s [03/17 12:59:12] ppdet.engine INFO: Epoch: [13] [ 0/523] learning_rate: 0.278812 loss_vfl: 1.428793 loss_bbox: 0.677933 loss_dfl: 0.508045 loss: 2.618377 eta: 1 day, 13:18:06 batch_cost: 1.0639 data_cost: 0.3646 ips: 52.6370 images/s [03/17 12:59:33] ppdet.engine INFO: Epoch: [13] [ 20/523] learning_rate: 0.278804 loss_vfl: 1.421715 loss_bbox: 0.719822 loss_dfl: 0.522572 loss: 2.678313 eta: 1 day, 13:17:03 batch_cost: 0.7916 data_cost: 0.0064 ips: 70.7401 images/s [03/17 12:59:53] ppdet.engine INFO: Epoch: [13] [ 40/523] learning_rate: 0.278797 loss_vfl: 1.374579 loss_bbox: 0.662069 loss_dfl: 0.500638 loss: 2.560417 eta: 1 day, 13:16:20 batch_cost: 0.8364 data_cost: 0.0077 ips: 66.9558 images/s [03/17 13:00:16] ppdet.engine INFO: Epoch: [13] [ 60/523] learning_rate: 0.278790 loss_vfl: 1.421852 loss_bbox: 0.688366 loss_dfl: 0.500284 loss: 2.590065 eta: 1 day, 13:16:41 batch_cost: 0.9847 data_cost: 0.0445 ips: 56.8723 images/s [03/17 13:00:37] ppdet.engine INFO: Epoch: [13] [ 80/523] learning_rate: 0.278782 loss_vfl: 1.383096 loss_bbox: 0.718984 loss_dfl: 0.530812 loss: 2.654684 eta: 1 day, 13:16:18 batch_cost: 0.8821 data_cost: 0.1881 ips: 63.4882 images/s [03/17 13:00:59] ppdet.engine INFO: Epoch: [13] [100/523] learning_rate: 0.278775 loss_vfl: 1.469639 loss_bbox: 0.701265 loss_dfl: 0.524352 loss: 2.686133 eta: 1 day, 13:16:16 batch_cost: 0.9314 data_cost: 0.0012 ips: 60.1254 images/s [03/17 13:01:19] ppdet.engine INFO: Epoch: [13] [120/523] learning_rate: 0.278768 loss_vfl: 1.410961 loss_bbox: 0.686282 loss_dfl: 0.492962 loss: 2.571895 eta: 1 day, 13:15:39 batch_cost: 0.8489 data_cost: 0.0806 ips: 65.9673 images/s [03/17 13:01:41] ppdet.engine INFO: Epoch: [13] [140/523] learning_rate: 0.278760 loss_vfl: 1.404978 loss_bbox: 0.678045 loss_dfl: 0.505429 loss: 2.587962 eta: 1 day, 13:15:36 batch_cost: 0.9288 data_cost: 0.1542 ips: 60.2899 images/s [03/17 13:02:03] ppdet.engine INFO: Epoch: [13] [160/523] learning_rate: 0.278753 loss_vfl: 1.347095 loss_bbox: 0.629865 loss_dfl: 0.470098 loss: 2.446034 eta: 1 day, 13:16:07 batch_cost: 1.0094 data_cost: 0.2796 ips: 55.4800 images/s [03/17 13:02:23] ppdet.engine INFO: Epoch: [13] [180/523] learning_rate: 0.278745 loss_vfl: 1.440673 loss_bbox: 0.706135 loss_dfl: 0.515915 loss: 2.673503 eta: 1 day, 13:15:26 batch_cost: 0.8416 data_cost: 0.1281 ips: 66.5413 images/s [03/17 13:02:40] ppdet.engine INFO: Epoch: [13] [200/523] learning_rate: 0.278738 loss_vfl: 1.379921 loss_bbox: 0.655774 loss_dfl: 0.488429 loss: 2.504183 eta: 1 day, 13:14:01 batch_cost: 0.7367 data_cost: 0.0022 ips: 76.0145 images/s [03/17 13:02:57] ppdet.engine INFO: Epoch: [13] [220/523] learning_rate: 0.278730 loss_vfl: 1.401779 loss_bbox: 0.655960 loss_dfl: 0.488156 loss: 2.548210 eta: 1 day, 13:12:13 batch_cost: 0.6832 data_cost: 0.0063 ips: 81.9663 images/s [03/17 13:03:21] ppdet.engine INFO: Epoch: [13] [240/523] learning_rate: 0.278723 loss_vfl: 1.278143 loss_bbox: 0.628581 loss_dfl: 0.478842 loss: 2.382616 eta: 1 day, 13:13:06 batch_cost: 1.0593 data_cost: 0.4187 ips: 52.8646 images/s [03/17 13:03:41] ppdet.engine INFO: Epoch: [13] [260/523] learning_rate: 0.278715 loss_vfl: 1.382839 loss_bbox: 0.696133 loss_dfl: 0.510158 loss: 2.623611 eta: 1 day, 13:12:22 batch_cost: 0.8328 data_cost: 0.1524 ips: 67.2416 images/s [03/17 13:04:02] ppdet.engine INFO: Epoch: [13] [280/523] learning_rate: 0.278707 loss_vfl: 1.421722 loss_bbox: 0.702148 loss_dfl: 0.513890 loss: 2.618597 eta: 1 day, 13:11:51 batch_cost: 0.8647 data_cost: 0.0470 ips: 64.7629 images/s [03/17 13:04:23] ppdet.engine INFO: Epoch: [13] [300/523] learning_rate: 0.278700 loss_vfl: 1.422258 loss_bbox: 0.671882 loss_dfl: 0.499582 loss: 2.563904 eta: 1 day, 13:11:37 batch_cost: 0.9010 data_cost: 0.0047 ips: 62.1510 images/s [03/17 13:04:45] ppdet.engine INFO: Epoch: 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loss_bbox: 0.664454 loss_dfl: 0.497249 loss: 2.552902 eta: 1 day, 13:09:13 batch_cost: 0.9689 data_cost: 0.1581 ips: 57.7974 images/s [03/17 13:06:31] ppdet.engine INFO: Epoch: [13] [420/523] learning_rate: 0.278654 loss_vfl: 1.375976 loss_bbox: 0.652113 loss_dfl: 0.485621 loss: 2.528004 eta: 1 day, 13:09:04 batch_cost: 0.9134 data_cost: 0.0669 ips: 61.3122 images/s [03/17 13:06:52] ppdet.engine INFO: Epoch: [13] [440/523] learning_rate: 0.278646 loss_vfl: 1.334853 loss_bbox: 0.664191 loss_dfl: 0.488653 loss: 2.493481 eta: 1 day, 13:08:52 batch_cost: 0.9092 data_cost: 0.0046 ips: 61.5951 images/s [03/17 13:07:12] ppdet.engine INFO: Epoch: [13] [460/523] learning_rate: 0.278638 loss_vfl: 1.445992 loss_bbox: 0.697703 loss_dfl: 0.508217 loss: 2.703122 eta: 1 day, 13:08:22 batch_cost: 0.8630 data_cost: 0.2034 ips: 64.8885 images/s [03/17 13:07:31] ppdet.engine INFO: Epoch: [13] [480/523] learning_rate: 0.278630 loss_vfl: 1.338870 loss_bbox: 0.642257 loss_dfl: 0.475651 loss: 2.437533 eta: 1 day, 13:07:32 batch_cost: 0.8158 data_cost: 0.0434 ips: 68.6438 images/s [03/17 13:07:47] ppdet.engine INFO: Epoch: [13] [500/523] learning_rate: 0.278622 loss_vfl: 1.271869 loss_bbox: 0.586069 loss_dfl: 0.443353 loss: 2.305029 eta: 1 day, 13:05:44 batch_cost: 0.6738 data_cost: 0.0032 ips: 83.1069 images/s [03/17 13:08:05] ppdet.engine INFO: Epoch: [13] [520/523] learning_rate: 0.278614 loss_vfl: 1.393198 loss_bbox: 0.684326 loss_dfl: 0.496124 loss: 2.556093 eta: 1 day, 13:04:22 batch_cost: 0.7353 data_cost: 0.0102 ips: 76.1625 images/s [03/17 13:08:16] ppdet.engine INFO: Epoch: [14] [ 0/523] learning_rate: 0.278613 loss_vfl: 1.373000 loss_bbox: 0.674871 loss_dfl: 0.496124 loss: 2.556093 eta: 1 day, 13:06:49 batch_cost: 1.1109 data_cost: 0.3645 ips: 50.4082 images/s [03/17 13:08:36] ppdet.engine INFO: Epoch: [14] [ 20/523] learning_rate: 0.278605 loss_vfl: 1.398987 loss_bbox: 0.689440 loss_dfl: 0.506919 loss: 2.588455 eta: 1 day, 13:06:21 batch_cost: 0.8663 data_cost: 0.0806 ips: 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[14] [120/523] learning_rate: 0.278565 loss_vfl: 1.289439 loss_bbox: 0.627333 loss_dfl: 0.463966 loss: 2.365406 eta: 1 day, 13:04:29 batch_cost: 0.8087 data_cost: 0.1205 ips: 69.2448 images/s [03/17 13:10:46] ppdet.engine INFO: Epoch: [14] [140/523] learning_rate: 0.278557 loss_vfl: 1.416766 loss_bbox: 0.682160 loss_dfl: 0.511538 loss: 2.609645 eta: 1 day, 13:04:16 batch_cost: 0.9072 data_cost: 0.1178 ips: 61.7260 images/s [03/17 13:11:08] ppdet.engine INFO: Epoch: [14] [160/523] learning_rate: 0.278549 loss_vfl: 1.369494 loss_bbox: 0.664275 loss_dfl: 0.498881 loss: 2.531235 eta: 1 day, 13:04:03 batch_cost: 0.9052 data_cost: 0.1988 ips: 61.8647 images/s [03/17 13:11:28] ppdet.engine INFO: Epoch: [14] [180/523] learning_rate: 0.278541 loss_vfl: 1.481646 loss_bbox: 0.707549 loss_dfl: 0.529023 loss: 2.723379 eta: 1 day, 13:03:33 batch_cost: 0.8622 data_cost: 0.0414 ips: 64.9494 images/s [03/17 13:11:49] ppdet.engine INFO: Epoch: [14] [200/523] learning_rate: 0.278533 loss_vfl: 1.355854 loss_bbox: 0.660498 loss_dfl: 0.480352 loss: 2.490077 eta: 1 day, 13:03:13 batch_cost: 0.8859 data_cost: 0.1278 ips: 63.2133 images/s [03/17 13:12:07] ppdet.engine INFO: Epoch: [14] [220/523] learning_rate: 0.278525 loss_vfl: 1.464454 loss_bbox: 0.701696 loss_dfl: 0.522214 loss: 2.678878 eta: 1 day, 13:01:25 batch_cost: 0.6658 data_cost: 0.0074 ips: 84.1082 images/s [03/17 13:12:26] ppdet.engine INFO: Epoch: [14] [240/523] learning_rate: 0.278517 loss_vfl: 1.399534 loss_bbox: 0.684619 loss_dfl: 0.484600 loss: 2.575976 eta: 1 day, 13:00:45 batch_cost: 0.8371 data_cost: 0.0030 ips: 66.8993 images/s [03/17 13:12:44] ppdet.engine INFO: Epoch: [14] [260/523] learning_rate: 0.278509 loss_vfl: 1.418203 loss_bbox: 0.675758 loss_dfl: 0.503606 loss: 2.583717 eta: 1 day, 12:59:35 batch_cost: 0.7595 data_cost: 0.0924 ips: 73.7362 images/s [03/17 13:13:05] ppdet.engine INFO: Epoch: [14] [280/523] learning_rate: 0.278501 loss_vfl: 1.428760 loss_bbox: 0.691339 loss_dfl: 0.494536 loss: 2.604940 eta: 1 day, 12:59:47 batch_cost: 0.9679 data_cost: 0.1154 ips: 57.8596 images/s [03/17 13:13:27] ppdet.engine INFO: Epoch: [14] [300/523] learning_rate: 0.278492 loss_vfl: 1.352715 loss_bbox: 0.652823 loss_dfl: 0.488440 loss: 2.478940 eta: 1 day, 12:59:27 batch_cost: 0.8865 data_cost: 0.0804 ips: 63.1687 images/s [03/17 13:13:48] ppdet.engine INFO: Epoch: [14] [320/523] learning_rate: 0.278484 loss_vfl: 1.374441 loss_bbox: 0.667917 loss_dfl: 0.497358 loss: 2.504892 eta: 1 day, 12:59:21 batch_cost: 0.9231 data_cost: 0.0985 ips: 60.6635 images/s [03/17 13:14:09] ppdet.engine INFO: Epoch: [14] [340/523] learning_rate: 0.278476 loss_vfl: 1.363573 loss_bbox: 0.663297 loss_dfl: 0.500512 loss: 2.572879 eta: 1 day, 12:59:05 batch_cost: 0.8958 data_cost: 0.1330 ips: 62.5156 images/s [03/17 13:14:29] ppdet.engine INFO: Epoch: [14] [360/523] learning_rate: 0.278468 loss_vfl: 1.411998 loss_bbox: 0.661967 loss_dfl: 0.489285 loss: 2.578597 eta: 1 day, 12:58:36 batch_cost: 0.8643 data_cost: 0.0678 ips: 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[14] [460/523] learning_rate: 0.278426 loss_vfl: 1.364058 loss_bbox: 0.679659 loss_dfl: 0.499185 loss: 2.547322 eta: 1 day, 12:56:21 batch_cost: 0.8885 data_cost: 0.0247 ips: 63.0271 images/s [03/17 13:16:34] ppdet.engine INFO: Epoch: [14] [480/523] learning_rate: 0.278417 loss_vfl: 1.394711 loss_bbox: 0.705529 loss_dfl: 0.510385 loss: 2.612393 eta: 1 day, 12:55:58 batch_cost: 0.8782 data_cost: 0.0130 ips: 63.7692 images/s [03/17 13:16:55] ppdet.engine INFO: Epoch: [14] [500/523] learning_rate: 0.278409 loss_vfl: 1.389880 loss_bbox: 0.650443 loss_dfl: 0.490970 loss: 2.516218 eta: 1 day, 12:55:16 batch_cost: 0.8279 data_cost: 0.0053 ips: 67.6450 images/s [03/17 13:17:10] ppdet.engine INFO: Epoch: [14] [520/523] learning_rate: 0.278401 loss_vfl: 1.357266 loss_bbox: 0.658016 loss_dfl: 0.484927 loss: 2.519325 eta: 1 day, 12:53:21 batch_cost: 0.6351 data_cost: 0.0028 ips: 88.1728 images/s [03/17 13:17:21] ppdet.engine INFO: Epoch: [15] [ 0/523] learning_rate: 0.278399 loss_vfl: 1.377190 loss_bbox: 0.658016 loss_dfl: 0.486941 loss: 2.536800 eta: 1 day, 12:55:30 batch_cost: 1.0286 data_cost: 0.2492 ips: 54.4425 images/s [03/17 13:17:39] ppdet.engine INFO: Epoch: [15] [ 20/523] learning_rate: 0.278391 loss_vfl: 1.408655 loss_bbox: 0.663106 loss_dfl: 0.500346 loss: 2.615824 eta: 1 day, 12:54:21 batch_cost: 0.7570 data_cost: 0.0066 ips: 73.9775 images/s [03/17 13:18:02] ppdet.engine INFO: Epoch: [15] [ 40/523] learning_rate: 0.278382 loss_vfl: 1.415646 loss_bbox: 0.671144 loss_dfl: 0.497664 loss: 2.612312 eta: 1 day, 12:54:42 batch_cost: 0.9920 data_cost: 0.0069 ips: 56.4535 images/s [03/17 13:18:20] ppdet.engine INFO: Epoch: [15] [ 60/523] learning_rate: 0.278374 loss_vfl: 1.404771 loss_bbox: 0.682243 loss_dfl: 0.507480 loss: 2.610287 eta: 1 day, 12:53:57 batch_cost: 0.8214 data_cost: 0.0043 ips: 68.1782 images/s [03/17 13:18:41] ppdet.engine INFO: Epoch: [15] [ 80/523] learning_rate: 0.278365 loss_vfl: 1.474767 loss_bbox: 0.723543 loss_dfl: 0.526242 loss: 2.716767 eta: 1 day, 12:53:13 batch_cost: 0.8217 data_cost: 0.0041 ips: 68.1487 images/s [03/17 13:19:04] ppdet.engine INFO: Epoch: [15] [100/523] learning_rate: 0.278357 loss_vfl: 1.441757 loss_bbox: 0.679542 loss_dfl: 0.507230 loss: 2.627624 eta: 1 day, 12:52:59 batch_cost: 0.9013 data_cost: 0.0027 ips: 62.1293 images/s [03/17 13:19:25] ppdet.engine INFO: Epoch: [15] [120/523] learning_rate: 0.278348 loss_vfl: 1.339025 loss_bbox: 0.637285 loss_dfl: 0.473207 loss: 2.448583 eta: 1 day, 12:53:16 batch_cost: 0.9850 data_cost: 0.0021 ips: 56.8540 images/s [03/17 13:19:46] ppdet.engine INFO: Epoch: [15] [140/523] learning_rate: 0.278339 loss_vfl: 1.485642 loss_bbox: 0.693924 loss_dfl: 0.521970 loss: 2.751435 eta: 1 day, 12:52:55 batch_cost: 0.8822 data_cost: 0.0080 ips: 63.4803 images/s [03/17 13:20:08] ppdet.engine INFO: Epoch: [15] [160/523] learning_rate: 0.278331 loss_vfl: 1.362792 loss_bbox: 0.642539 loss_dfl: 0.483031 loss: 2.471893 eta: 1 day, 12:53:11 batch_cost: 0.9843 data_cost: 0.0042 ips: 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[15] [260/523] learning_rate: 0.278287 loss_vfl: 1.335048 loss_bbox: 0.656779 loss_dfl: 0.479081 loss: 2.477170 eta: 1 day, 12:53:21 batch_cost: 0.8995 data_cost: 0.0040 ips: 62.2560 images/s [03/17 13:22:12] ppdet.engine INFO: Epoch: [15] [280/523] learning_rate: 0.278279 loss_vfl: 1.476313 loss_bbox: 0.719321 loss_dfl: 0.534427 loss: 2.711695 eta: 1 day, 12:52:22 batch_cost: 0.7802 data_cost: 0.0095 ips: 71.7754 images/s [03/17 13:22:29] ppdet.engine INFO: Epoch: [15] [300/523] learning_rate: 0.278270 loss_vfl: 1.373584 loss_bbox: 0.685094 loss_dfl: 0.501270 loss: 2.606975 eta: 1 day, 12:51:12 batch_cost: 0.7485 data_cost: 0.0055 ips: 74.8205 images/s [03/17 13:22:50] ppdet.engine INFO: Epoch: [15] [320/523] learning_rate: 0.278261 loss_vfl: 1.295014 loss_bbox: 0.625910 loss_dfl: 0.469697 loss: 2.382029 eta: 1 day, 12:51:08 batch_cost: 0.9311 data_cost: 0.0025 ips: 60.1424 images/s [03/17 13:23:12] ppdet.engine INFO: Epoch: [15] [340/523] learning_rate: 0.278252 loss_vfl: 1.375521 loss_bbox: 0.685089 loss_dfl: 0.501845 loss: 2.545168 eta: 1 day, 12:51:04 batch_cost: 0.9292 data_cost: 0.0003 ips: 60.2679 images/s [03/17 13:23:33] ppdet.engine INFO: Epoch: [15] [360/523] learning_rate: 0.278243 loss_vfl: 1.460108 loss_bbox: 0.710873 loss_dfl: 0.519555 loss: 2.701095 eta: 1 day, 12:50:56 batch_cost: 0.9198 data_cost: 0.0045 ips: 60.8835 images/s [03/17 13:23:53] ppdet.engine INFO: Epoch: [15] [380/523] learning_rate: 0.278234 loss_vfl: 1.349229 loss_bbox: 0.625642 loss_dfl: 0.453299 loss: 2.384909 eta: 1 day, 12:50:33 batch_cost: 0.8768 data_cost: 0.0027 ips: 63.8679 images/s [03/17 13:24:13] ppdet.engine INFO: Epoch: [15] [400/523] learning_rate: 0.278225 loss_vfl: 1.440223 loss_bbox: 0.705043 loss_dfl: 0.516042 loss: 2.633490 eta: 1 day, 12:50:11 batch_cost: 0.8795 data_cost: 0.0041 ips: 63.6719 images/s [03/17 13:24:33] ppdet.engine INFO: Epoch: [15] [420/523] learning_rate: 0.278217 loss_vfl: 1.486601 loss_bbox: 0.741912 loss_dfl: 0.529745 loss: 2.738438 eta: 1 day, 12:49:41 batch_cost: 0.8599 data_cost: 0.0044 ips: 65.1264 images/s [03/17 13:24:55] ppdet.engine INFO: Epoch: [15] [440/523] learning_rate: 0.278208 loss_vfl: 1.368039 loss_bbox: 0.643462 loss_dfl: 0.479421 loss: 2.502173 eta: 1 day, 12:49:51 batch_cost: 0.9681 data_cost: 0.0054 ips: 57.8436 images/s [03/17 13:25:17] ppdet.engine INFO: Epoch: [15] [460/523] learning_rate: 0.278199 loss_vfl: 1.407495 loss_bbox: 0.657928 loss_dfl: 0.487031 loss: 2.554927 eta: 1 day, 12:50:05 batch_cost: 0.9809 data_cost: 0.0032 ips: 57.0879 images/s [03/17 13:25:39] ppdet.engine INFO: Epoch: [15] [480/523] learning_rate: 0.278190 loss_vfl: 1.391768 loss_bbox: 0.693130 loss_dfl: 0.498100 loss: 2.595831 eta: 1 day, 12:50:11 batch_cost: 0.9603 data_cost: 0.0026 ips: 58.3128 images/s [03/17 13:26:01] ppdet.engine INFO: Epoch: [15] [500/523] learning_rate: 0.278181 loss_vfl: 1.407720 loss_bbox: 0.679736 loss_dfl: 0.504957 loss: 2.571003 eta: 1 day, 12:50:42 batch_cost: 1.0287 data_cost: 0.0048 ips: 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[16] [ 60/523] learning_rate: 0.278143 loss_vfl: 1.409496 loss_bbox: 0.678035 loss_dfl: 0.506383 loss: 2.593914 eta: 1 day, 12:49:15 batch_cost: 0.8240 data_cost: 0.0062 ips: 67.9640 images/s [03/17 13:27:47] ppdet.engine INFO: Epoch: [16] [ 80/523] learning_rate: 0.278134 loss_vfl: 1.332062 loss_bbox: 0.667606 loss_dfl: 0.469830 loss: 2.460315 eta: 1 day, 12:49:17 batch_cost: 0.9491 data_cost: 0.2120 ips: 59.0051 images/s [03/17 13:28:09] ppdet.engine INFO: Epoch: [16] [100/523] learning_rate: 0.278125 loss_vfl: 1.377968 loss_bbox: 0.655042 loss_dfl: 0.488098 loss: 2.550902 eta: 1 day, 12:49:11 batch_cost: 0.9270 data_cost: 0.2074 ips: 60.4091 images/s [03/17 13:28:30] ppdet.engine INFO: Epoch: [16] [120/523] learning_rate: 0.278116 loss_vfl: 1.358528 loss_bbox: 0.640039 loss_dfl: 0.468814 loss: 2.478124 eta: 1 day, 12:49:10 batch_cost: 0.9408 data_cost: 0.1131 ips: 59.5268 images/s [03/17 13:28:52] ppdet.engine INFO: Epoch: [16] [140/523] learning_rate: 0.278106 loss_vfl: 1.414767 loss_bbox: 0.674174 loss_dfl: 0.488912 loss: 2.549630 eta: 1 day, 12:49:34 batch_cost: 1.0120 data_cost: 0.0473 ips: 55.3333 images/s [03/17 13:29:11] ppdet.engine INFO: Epoch: [16] [160/523] learning_rate: 0.278097 loss_vfl: 1.385773 loss_bbox: 0.656411 loss_dfl: 0.488220 loss: 2.539949 eta: 1 day, 12:48:56 batch_cost: 0.8358 data_cost: 0.0683 ips: 66.9999 images/s [03/17 13:29:33] ppdet.engine INFO: Epoch: [16] [180/523] learning_rate: 0.278088 loss_vfl: 1.354256 loss_bbox: 0.660891 loss_dfl: 0.475978 loss: 2.495870 eta: 1 day, 12:48:58 batch_cost: 0.9507 data_cost: 0.1141 ips: 58.9053 images/s [03/17 13:29:55] ppdet.engine INFO: Epoch: [16] [200/523] learning_rate: 0.278079 loss_vfl: 1.320999 loss_bbox: 0.613730 loss_dfl: 0.472614 loss: 2.442263 eta: 1 day, 12:49:18 batch_cost: 1.0038 data_cost: 0.3029 ips: 55.7857 images/s [03/17 13:30:18] ppdet.engine INFO: Epoch: [16] [220/523] learning_rate: 0.278069 loss_vfl: 1.337081 loss_bbox: 0.662718 loss_dfl: 0.492987 loss: 2.464689 eta: 1 day, 12:49:31 batch_cost: 0.9825 data_cost: 0.2133 ips: 56.9959 images/s [03/17 13:30:38] ppdet.engine INFO: Epoch: [16] [240/523] learning_rate: 0.278060 loss_vfl: 1.374359 loss_bbox: 0.646193 loss_dfl: 0.485233 loss: 2.530671 eta: 1 day, 12:49:13 batch_cost: 0.8930 data_cost: 0.0059 ips: 62.7105 images/s [03/17 13:30:57] ppdet.engine INFO: Epoch: [16] [260/523] learning_rate: 0.278051 loss_vfl: 1.332425 loss_bbox: 0.646717 loss_dfl: 0.477647 loss: 2.460685 eta: 1 day, 12:48:34 batch_cost: 0.8329 data_cost: 0.0348 ips: 67.2345 images/s [03/17 13:31:20] ppdet.engine INFO: Epoch: [16] [280/523] learning_rate: 0.278041 loss_vfl: 1.329000 loss_bbox: 0.644005 loss_dfl: 0.478193 loss: 2.440006 eta: 1 day, 12:48:49 batch_cost: 0.9881 data_cost: 0.0603 ips: 56.6739 images/s [03/17 13:31:39] ppdet.engine INFO: Epoch: [16] [300/523] learning_rate: 0.278032 loss_vfl: 1.327154 loss_bbox: 0.629010 loss_dfl: 0.465891 loss: 2.448491 eta: 1 day, 12:48:23 batch_cost: 0.8710 data_cost: 0.0036 ips: 64.2945 images/s [03/17 13:31:55] ppdet.engine INFO: Epoch: [16] [320/523] learning_rate: 0.278023 loss_vfl: 1.333714 loss_bbox: 0.656058 loss_dfl: 0.470604 loss: 2.495770 eta: 1 day, 12:46:33 batch_cost: 0.6251 data_cost: 0.0003 ips: 89.5901 images/s [03/17 13:32:15] ppdet.engine INFO: Epoch: [16] [340/523] learning_rate: 0.278013 loss_vfl: 1.342307 loss_bbox: 0.644652 loss_dfl: 0.478883 loss: 2.443520 eta: 1 day, 12:46:08 batch_cost: 0.8709 data_cost: 0.1834 ips: 64.3041 images/s [03/17 13:32:36] ppdet.engine INFO: Epoch: [16] [360/523] learning_rate: 0.278004 loss_vfl: 1.318316 loss_bbox: 0.637310 loss_dfl: 0.469495 loss: 2.423654 eta: 1 day, 12:45:59 batch_cost: 0.9182 data_cost: 0.2239 ips: 60.9882 images/s [03/17 13:32:59] ppdet.engine INFO: Epoch: [16] [380/523] learning_rate: 0.277994 loss_vfl: 1.377797 loss_bbox: 0.648008 loss_dfl: 0.488492 loss: 2.525961 eta: 1 day, 12:46:30 batch_cost: 1.0391 data_cost: 0.0922 ips: 53.8952 images/s [03/17 13:33:19] ppdet.engine INFO: Epoch: [16] [400/523] learning_rate: 0.277985 loss_vfl: 1.398708 loss_bbox: 0.675277 loss_dfl: 0.500035 loss: 2.559120 eta: 1 day, 12:46:09 batch_cost: 0.8835 data_cost: 0.1257 ips: 63.3874 images/s [03/17 13:33:41] ppdet.engine INFO: Epoch: [16] [420/523] learning_rate: 0.277975 loss_vfl: 1.389460 loss_bbox: 0.678428 loss_dfl: 0.493380 loss: 2.520360 eta: 1 day, 12:46:12 batch_cost: 0.9574 data_cost: 0.1896 ips: 58.4902 images/s [03/17 13:34:02] ppdet.engine INFO: Epoch: [16] [440/523] learning_rate: 0.277966 loss_vfl: 1.312296 loss_bbox: 0.623462 loss_dfl: 0.472186 loss: 2.433184 eta: 1 day, 12:45:58 batch_cost: 0.9055 data_cost: 0.1540 ips: 61.8412 images/s [03/17 13:34:23] ppdet.engine INFO: Epoch: [16] [460/523] learning_rate: 0.277956 loss_vfl: 1.369207 loss_bbox: 0.623633 loss_dfl: 0.462039 loss: 2.456538 eta: 1 day, 12:45:16 batch_cost: 0.8218 data_cost: 0.1071 ips: 68.1436 images/s [03/17 13:34:44] ppdet.engine INFO: Epoch: [16] [480/523] learning_rate: 0.277947 loss_vfl: 1.326413 loss_bbox: 0.638166 loss_dfl: 0.472444 loss: 2.429182 eta: 1 day, 12:45:18 batch_cost: 0.9504 data_cost: 0.0854 ips: 58.9231 images/s [03/17 13:35:07] ppdet.engine INFO: Epoch: [16] [500/523] learning_rate: 0.277937 loss_vfl: 1.447179 loss_bbox: 0.681940 loss_dfl: 0.503558 loss: 2.627357 eta: 1 day, 12:45:12 batch_cost: 0.9291 data_cost: 0.1534 ips: 60.2729 images/s [03/17 13:35:23] ppdet.engine INFO: Epoch: [16] [520/523] learning_rate: 0.277927 loss_vfl: 1.363549 loss_bbox: 0.669286 loss_dfl: 0.505569 loss: 2.549217 eta: 1 day, 12:43:42 batch_cost: 0.6774 data_cost: 0.0033 ips: 82.6685 images/s [03/17 13:35:34] ppdet.engine INFO: Epoch: [17] [ 0/523] learning_rate: 0.277926 loss_vfl: 1.356402 loss_bbox: 0.639434 loss_dfl: 0.483910 loss: 2.461298 eta: 1 day, 12:45:40 batch_cost: 1.0588 data_cost: 0.4119 ips: 52.8900 images/s [03/17 13:35:56] ppdet.engine INFO: Epoch: [17] [ 20/523] learning_rate: 0.277916 loss_vfl: 1.328434 loss_bbox: 0.661012 loss_dfl: 0.494523 loss: 2.501712 eta: 1 day, 12:45:15 batch_cost: 0.8726 data_cost: 0.0060 ips: 64.1744 images/s [03/17 13:36:15] ppdet.engine INFO: Epoch: [17] [ 40/523] learning_rate: 0.277907 loss_vfl: 1.336452 loss_bbox: 0.649291 loss_dfl: 0.470110 loss: 2.443913 eta: 1 day, 12:44:18 batch_cost: 0.7784 data_cost: 0.0057 ips: 71.9420 images/s [03/17 13:36:33] ppdet.engine INFO: Epoch: [17] [ 60/523] learning_rate: 0.277897 loss_vfl: 1.367370 loss_bbox: 0.660537 loss_dfl: 0.485022 loss: 2.502026 eta: 1 day, 12:43:22 batch_cost: 0.7787 data_cost: 0.0582 ips: 71.9171 images/s [03/17 13:36:52] ppdet.engine INFO: Epoch: [17] [ 80/523] learning_rate: 0.277887 loss_vfl: 1.360827 loss_bbox: 0.642979 loss_dfl: 0.475455 loss: 2.486337 eta: 1 day, 12:42:43 batch_cost: 0.8279 data_cost: 0.1654 ips: 67.6418 images/s [03/17 13:37:14] ppdet.engine INFO: Epoch: [17] [100/523] learning_rate: 0.277877 loss_vfl: 1.339276 loss_bbox: 0.627896 loss_dfl: 0.478958 loss: 2.411723 eta: 1 day, 12:42:30 batch_cost: 0.9072 data_cost: 0.0030 ips: 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[17] [200/523] learning_rate: 0.277828 loss_vfl: 1.352459 loss_bbox: 0.664137 loss_dfl: 0.483864 loss: 2.515839 eta: 1 day, 12:41:25 batch_cost: 0.8942 data_cost: 0.0969 ips: 62.6251 images/s [03/17 13:39:20] ppdet.engine INFO: Epoch: [17] [220/523] learning_rate: 0.277819 loss_vfl: 1.383728 loss_bbox: 0.677638 loss_dfl: 0.500101 loss: 2.559899 eta: 1 day, 12:40:54 batch_cost: 0.8522 data_cost: 0.0545 ips: 65.7116 images/s [03/17 13:39:42] ppdet.engine INFO: Epoch: [17] [240/523] learning_rate: 0.277809 loss_vfl: 1.336714 loss_bbox: 0.645226 loss_dfl: 0.485499 loss: 2.470506 eta: 1 day, 12:40:58 batch_cost: 0.9616 data_cost: 0.1363 ips: 58.2364 images/s [03/17 13:40:02] ppdet.engine INFO: Epoch: [17] [260/523] learning_rate: 0.277799 loss_vfl: 1.338382 loss_bbox: 0.661886 loss_dfl: 0.492064 loss: 2.513346 eta: 1 day, 12:40:23 batch_cost: 0.8407 data_cost: 0.0490 ips: 66.6089 images/s [03/17 13:40:24] ppdet.engine INFO: Epoch: [17] [280/523] learning_rate: 0.277789 loss_vfl: 1.398393 loss_bbox: 0.685626 loss_dfl: 0.508218 loss: 2.582629 eta: 1 day, 12:40:22 batch_cost: 0.9469 data_cost: 0.2140 ips: 59.1396 images/s [03/17 13:40:44] ppdet.engine INFO: Epoch: [17] [300/523] learning_rate: 0.277779 loss_vfl: 1.316345 loss_bbox: 0.622526 loss_dfl: 0.471298 loss: 2.391951 eta: 1 day, 12:39:57 batch_cost: 0.8722 data_cost: 0.1455 ips: 64.2062 images/s [03/17 13:41:05] ppdet.engine INFO: Epoch: [17] [320/523] learning_rate: 0.277769 loss_vfl: 1.394160 loss_bbox: 0.691756 loss_dfl: 0.494447 loss: 2.544240 eta: 1 day, 12:39:38 batch_cost: 0.8891 data_cost: 0.1328 ips: 62.9866 images/s [03/17 13:41:24] ppdet.engine INFO: Epoch: [17] [340/523] learning_rate: 0.277759 loss_vfl: 1.331685 loss_bbox: 0.646453 loss_dfl: 0.475465 loss: 2.441944 eta: 1 day, 12:38:52 batch_cost: 0.8057 data_cost: 0.1044 ips: 69.5009 images/s [03/17 13:41:42] ppdet.engine INFO: Epoch: [17] [360/523] learning_rate: 0.277749 loss_vfl: 1.426893 loss_bbox: 0.680647 loss_dfl: 0.511552 loss: 2.632661 eta: 1 day, 12:37:56 batch_cost: 0.7727 data_cost: 0.0018 ips: 72.4736 images/s [03/17 13:42:02] ppdet.engine INFO: Epoch: [17] [380/523] learning_rate: 0.277739 loss_vfl: 1.349672 loss_bbox: 0.645569 loss_dfl: 0.480912 loss: 2.458442 eta: 1 day, 12:37:27 batch_cost: 0.8612 data_cost: 0.0232 ips: 65.0236 images/s [03/17 13:42:21] ppdet.engine INFO: Epoch: [17] [400/523] learning_rate: 0.277729 loss_vfl: 1.285957 loss_bbox: 0.598673 loss_dfl: 0.441519 loss: 2.339817 eta: 1 day, 12:36:45 batch_cost: 0.8168 data_cost: 0.0057 ips: 68.5623 images/s [03/17 13:42:44] ppdet.engine INFO: Epoch: [17] [420/523] learning_rate: 0.277719 loss_vfl: 1.342143 loss_bbox: 0.645008 loss_dfl: 0.476399 loss: 2.485543 eta: 1 day, 12:36:53 batch_cost: 0.9732 data_cost: 0.1478 ips: 57.5415 images/s [03/17 13:43:06] ppdet.engine INFO: Epoch: [17] [440/523] learning_rate: 0.277709 loss_vfl: 1.350277 loss_bbox: 0.657384 loss_dfl: 0.491083 loss: 2.506643 eta: 1 day, 12:36:22 batch_cost: 0.8513 data_cost: 0.0884 ips: 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[18] [ 0/523] learning_rate: 0.277666 loss_vfl: 1.421114 loss_bbox: 0.669690 loss_dfl: 0.501543 loss: 2.584702 eta: 1 day, 12:36:24 batch_cost: 1.1462 data_cost: 0.4550 ips: 48.8568 images/s [03/17 13:44:59] ppdet.engine INFO: Epoch: [18] [ 20/523] learning_rate: 0.277656 loss_vfl: 1.396317 loss_bbox: 0.666169 loss_dfl: 0.492661 loss: 2.590544 eta: 1 day, 12:36:10 batch_cost: 0.9043 data_cost: 0.0025 ips: 61.9263 images/s [03/17 13:45:20] ppdet.engine INFO: Epoch: [18] [ 40/523] learning_rate: 0.277646 loss_vfl: 1.333046 loss_bbox: 0.653960 loss_dfl: 0.494836 loss: 2.486001 eta: 1 day, 12:35:33 batch_cost: 0.8320 data_cost: 0.0074 ips: 67.3047 images/s [03/17 13:45:41] ppdet.engine INFO: Epoch: [18] [ 60/523] learning_rate: 0.277636 loss_vfl: 1.434456 loss_bbox: 0.693420 loss_dfl: 0.498472 loss: 2.631268 eta: 1 day, 12:35:11 batch_cost: 0.8812 data_cost: 0.0207 ips: 63.5462 images/s [03/17 13:46:01] ppdet.engine INFO: Epoch: [18] [ 80/523] learning_rate: 0.277625 loss_vfl: 1.344940 loss_bbox: 0.646406 loss_dfl: 0.485796 loss: 2.471093 eta: 1 day, 12:34:54 batch_cost: 0.8967 data_cost: 0.0053 ips: 62.4526 images/s [03/17 13:46:18] ppdet.engine INFO: Epoch: [18] [100/523] learning_rate: 0.277615 loss_vfl: 1.437134 loss_bbox: 0.687983 loss_dfl: 0.515019 loss: 2.665826 eta: 1 day, 12:33:39 batch_cost: 0.7089 data_cost: 0.0024 ips: 78.9975 images/s [03/17 13:46:39] ppdet.engine INFO: Epoch: [18] [120/523] learning_rate: 0.277605 loss_vfl: 1.423279 loss_bbox: 0.637997 loss_dfl: 0.477048 loss: 2.514311 eta: 1 day, 12:33:36 batch_cost: 0.9413 data_cost: 0.0077 ips: 59.4893 images/s [03/17 13:46:58] ppdet.engine INFO: Epoch: [18] [140/523] learning_rate: 0.277594 loss_vfl: 1.335776 loss_bbox: 0.683401 loss_dfl: 0.507148 loss: 2.528925 eta: 1 day, 12:32:57 batch_cost: 0.8255 data_cost: 0.0008 ips: 67.8408 images/s [03/17 13:47:19] ppdet.engine INFO: Epoch: [18] [160/523] learning_rate: 0.277584 loss_vfl: 1.387512 loss_bbox: 0.679088 loss_dfl: 0.507277 loss: 2.595914 eta: 1 day, 12:32:43 batch_cost: 0.9046 data_cost: 0.0075 ips: 61.9060 images/s [03/17 13:47:38] ppdet.engine INFO: Epoch: [18] [180/523] learning_rate: 0.277574 loss_vfl: 1.349724 loss_bbox: 0.640915 loss_dfl: 0.480114 loss: 2.489350 eta: 1 day, 12:31:40 batch_cost: 0.7446 data_cost: 0.0017 ips: 75.2131 images/s [03/17 13:48:01] ppdet.engine INFO: Epoch: [18] [200/523] learning_rate: 0.277563 loss_vfl: 1.366320 loss_bbox: 0.655356 loss_dfl: 0.485804 loss: 2.516862 eta: 1 day, 12:31:51 batch_cost: 0.9878 data_cost: 0.0015 ips: 56.6911 images/s [03/17 13:48:22] ppdet.engine INFO: Epoch: [18] [220/523] learning_rate: 0.277553 loss_vfl: 1.325749 loss_bbox: 0.646473 loss_dfl: 0.478573 loss: 2.455312 eta: 1 day, 12:31:40 batch_cost: 0.9169 data_cost: 0.0040 ips: 61.0748 images/s [03/17 13:48:41] ppdet.engine INFO: Epoch: [18] [240/523] learning_rate: 0.277542 loss_vfl: 1.349762 loss_bbox: 0.617689 loss_dfl: 0.460434 loss: 2.440022 eta: 1 day, 12:31:02 batch_cost: 0.8247 data_cost: 0.0041 ips: 67.9069 images/s [03/17 13:49:03] ppdet.engine INFO: Epoch: [18] [260/523] learning_rate: 0.277532 loss_vfl: 1.387986 loss_bbox: 0.684908 loss_dfl: 0.507286 loss: 2.569851 eta: 1 day, 12:31:10 batch_cost: 0.9777 data_cost: 0.0025 ips: 57.2784 images/s [03/17 13:49:23] ppdet.engine INFO: Epoch: [18] [280/523] learning_rate: 0.277521 loss_vfl: 1.352697 loss_bbox: 0.653100 loss_dfl: 0.479077 loss: 2.483131 eta: 1 day, 12:30:52 batch_cost: 0.8932 data_cost: 0.0174 ips: 62.6939 images/s [03/17 13:49:44] ppdet.engine INFO: Epoch: [18] [300/523] learning_rate: 0.277511 loss_vfl: 1.368073 loss_bbox: 0.666654 loss_dfl: 0.494314 loss: 2.532398 eta: 1 day, 12:30:31 batch_cost: 0.8840 data_cost: 0.0062 ips: 63.3513 images/s [03/17 13:50:06] ppdet.engine INFO: Epoch: [18] [320/523] learning_rate: 0.277500 loss_vfl: 1.382232 loss_bbox: 0.671083 loss_dfl: 0.485565 loss: 2.549989 eta: 1 day, 12:30:40 batch_cost: 0.9796 data_cost: 0.0034 ips: 57.1685 images/s [03/17 13:50:25] ppdet.engine INFO: Epoch: [18] [340/523] learning_rate: 0.277490 loss_vfl: 1.353315 loss_bbox: 0.638030 loss_dfl: 0.474701 loss: 2.448986 eta: 1 day, 12:30:00 batch_cost: 0.8200 data_cost: 0.0108 ips: 68.2920 images/s [03/17 13:50:46] ppdet.engine INFO: Epoch: [18] [360/523] learning_rate: 0.277479 loss_vfl: 1.461947 loss_bbox: 0.698352 loss_dfl: 0.512852 loss: 2.700866 eta: 1 day, 12:29:46 batch_cost: 0.9076 data_cost: 0.0030 ips: 61.7018 images/s [03/17 13:51:05] ppdet.engine INFO: Epoch: [18] [380/523] learning_rate: 0.277468 loss_vfl: 1.359515 loss_bbox: 0.656737 loss_dfl: 0.483926 loss: 2.489223 eta: 1 day, 12:28:45 batch_cost: 0.7477 data_cost: 0.0021 ips: 74.8932 images/s [03/17 13:51:23] ppdet.engine INFO: Epoch: [18] [400/523] learning_rate: 0.277458 loss_vfl: 1.333347 loss_bbox: 0.646708 loss_dfl: 0.494328 loss: 2.481709 eta: 1 day, 12:27:46 batch_cost: 0.7551 data_cost: 0.0025 ips: 74.1667 images/s [03/17 13:51:41] ppdet.engine INFO: Epoch: [18] [420/523] learning_rate: 0.277447 loss_vfl: 1.423733 loss_bbox: 0.674626 loss_dfl: 0.508725 loss: 2.595516 eta: 1 day, 12:26:50 batch_cost: 0.7658 data_cost: 0.0057 ips: 73.1305 images/s [03/17 13:52:02] ppdet.engine INFO: Epoch: [18] [440/523] learning_rate: 0.277436 loss_vfl: 1.469264 loss_bbox: 0.720623 loss_dfl: 0.516780 loss: 2.709865 eta: 1 day, 12:26:39 batch_cost: 0.9136 data_cost: 0.0092 ips: 61.2941 images/s [03/17 13:52:21] ppdet.engine INFO: Epoch: [18] [460/523] learning_rate: 0.277426 loss_vfl: 1.368161 loss_bbox: 0.626692 loss_dfl: 0.481223 loss: 2.471502 eta: 1 day, 12:25:56 batch_cost: 0.8095 data_cost: 0.0013 ips: 69.1797 images/s [03/17 13:52:42] ppdet.engine INFO: Epoch: [18] [480/523] learning_rate: 0.277415 loss_vfl: 1.326047 loss_bbox: 0.624878 loss_dfl: 0.468740 loss: 2.438530 eta: 1 day, 12:25:11 batch_cost: 0.8012 data_cost: 0.0011 ips: 69.8981 images/s [03/17 13:53:02] ppdet.engine INFO: Epoch: [18] [500/523] learning_rate: 0.277404 loss_vfl: 1.441903 loss_bbox: 0.704812 loss_dfl: 0.516507 loss: 2.661215 eta: 1 day, 12:24:37 batch_cost: 0.8356 data_cost: 0.0060 ips: 67.0192 images/s [03/17 13:53:21] ppdet.engine INFO: Epoch: [18] [520/523] learning_rate: 0.277393 loss_vfl: 1.394198 loss_bbox: 0.637749 loss_dfl: 0.496103 loss: 2.523297 eta: 1 day, 12:23:49 batch_cost: 0.7917 data_cost: 0.0007 ips: 70.7358 images/s [03/17 13:53:33] ppdet.engine INFO: Epoch: [19] [ 0/523] learning_rate: 0.277392 loss_vfl: 1.365170 loss_bbox: 0.623020 loss_dfl: 0.493366 loss: 2.507778 eta: 1 day, 12:25:52 batch_cost: 1.1852 data_cost: 0.3545 ips: 47.2477 images/s [03/17 13:53:57] ppdet.engine INFO: Epoch: [19] [ 20/523] learning_rate: 0.277381 loss_vfl: 1.263264 loss_bbox: 0.620931 loss_dfl: 0.458792 loss: 2.350403 eta: 1 day, 12:25:30 batch_cost: 0.8768 data_cost: 0.0022 ips: 63.8655 images/s [03/17 13:54:17] ppdet.engine INFO: Epoch: [19] [ 40/523] learning_rate: 0.277370 loss_vfl: 1.370163 loss_bbox: 0.679633 loss_dfl: 0.503268 loss: 2.557827 eta: 1 day, 12:24:27 batch_cost: 0.7393 data_cost: 0.0055 ips: 75.7518 images/s [03/17 13:54:42] ppdet.engine INFO: Epoch: [19] [ 60/523] learning_rate: 0.277359 loss_vfl: 1.399343 loss_bbox: 0.670523 loss_dfl: 0.506267 loss: 2.596477 eta: 1 day, 12:24:51 batch_cost: 1.0353 data_cost: 0.1628 ips: 54.0928 images/s [03/17 13:55:05] ppdet.engine INFO: Epoch: [19] [ 80/523] learning_rate: 0.277348 loss_vfl: 1.361012 loss_bbox: 0.634544 loss_dfl: 0.478691 loss: 2.474652 eta: 1 day, 12:25:11 batch_cost: 1.0221 data_cost: 0.3116 ips: 54.7886 images/s [03/17 13:55:27] ppdet.engine INFO: Epoch: [19] [100/523] learning_rate: 0.277338 loss_vfl: 1.367906 loss_bbox: 0.677742 loss_dfl: 0.485636 loss: 2.482975 eta: 1 day, 12:25:14 batch_cost: 0.9648 data_cost: 0.1846 ips: 58.0454 images/s [03/17 13:55:46] ppdet.engine INFO: Epoch: [19] [120/523] learning_rate: 0.277327 loss_vfl: 1.305797 loss_bbox: 0.651316 loss_dfl: 0.469757 loss: 2.425442 eta: 1 day, 12:24:10 batch_cost: 0.7351 data_cost: 0.0207 ips: 76.1851 images/s [03/17 13:56:03] ppdet.engine INFO: Epoch: [19] [140/523] learning_rate: 0.277316 loss_vfl: 1.410743 loss_bbox: 0.682139 loss_dfl: 0.500160 loss: 2.591913 eta: 1 day, 12:23:04 batch_cost: 0.7266 data_cost: 0.1108 ips: 77.0761 images/s [03/17 13:56:23] ppdet.engine INFO: Epoch: [19] [160/523] learning_rate: 0.277305 loss_vfl: 1.353574 loss_bbox: 0.665309 loss_dfl: 0.494806 loss: 2.506592 eta: 1 day, 12:22:26 batch_cost: 0.8218 data_cost: 0.1067 ips: 68.1460 images/s [03/17 13:56:46] ppdet.engine INFO: Epoch: [19] [180/523] learning_rate: 0.277294 loss_vfl: 1.426517 loss_bbox: 0.695219 loss_dfl: 0.518225 loss: 2.656426 eta: 1 day, 12:22:12 batch_cost: 0.9055 data_cost: 0.1250 ips: 61.8421 images/s [03/17 13:57:08] ppdet.engine INFO: Epoch: [19] [200/523] learning_rate: 0.277283 loss_vfl: 1.288617 loss_bbox: 0.615084 loss_dfl: 0.453281 loss: 2.348547 eta: 1 day, 12:22:16 batch_cost: 0.9672 data_cost: 0.1313 ips: 57.9015 images/s [03/17 13:57:29] ppdet.engine INFO: Epoch: [19] [220/523] learning_rate: 0.277272 loss_vfl: 1.423133 loss_bbox: 0.693478 loss_dfl: 0.505324 loss: 2.627031 eta: 1 day, 12:21:54 batch_cost: 0.8762 data_cost: 0.0344 ips: 63.9109 images/s [03/17 13:57:55] ppdet.engine INFO: Epoch: [19] [240/523] learning_rate: 0.277261 loss_vfl: 1.438462 loss_bbox: 0.705574 loss_dfl: 0.516558 loss: 2.642696 eta: 1 day, 12:22:53 batch_cost: 1.1604 data_cost: 0.4366 ips: 48.2598 images/s [03/17 13:58:15] ppdet.engine INFO: Epoch: [19] [260/523] learning_rate: 0.277250 loss_vfl: 1.449280 loss_bbox: 0.689007 loss_dfl: 0.515334 loss: 2.678404 eta: 1 day, 12:22:05 batch_cost: 0.7872 data_cost: 0.0111 ips: 71.1379 images/s [03/17 13:58:37] ppdet.engine INFO: Epoch: [19] [280/523] learning_rate: 0.277239 loss_vfl: 1.387609 loss_bbox: 0.697295 loss_dfl: 0.507290 loss: 2.570502 eta: 1 day, 12:22:11 batch_cost: 0.9772 data_cost: 0.2916 ips: 57.3089 images/s [03/17 13:59:01] ppdet.engine INFO: Epoch: [19] [300/523] learning_rate: 0.277227 loss_vfl: 1.304633 loss_bbox: 0.650466 loss_dfl: 0.478635 loss: 2.436030 eta: 1 day, 12:22:42 batch_cost: 1.0628 data_cost: 0.1801 ips: 52.6896 images/s [03/17 13:59:23] ppdet.engine INFO: Epoch: [19] [320/523] learning_rate: 0.277216 loss_vfl: 1.359679 loss_bbox: 0.638906 loss_dfl: 0.491187 loss: 2.519341 eta: 1 day, 12:22:43 batch_cost: 0.9586 data_cost: 0.0055 ips: 58.4171 images/s [03/17 13:59:45] ppdet.engine INFO: Epoch: [19] [340/523] learning_rate: 0.277205 loss_vfl: 1.348107 loss_bbox: 0.649225 loss_dfl: 0.483599 loss: 2.515708 eta: 1 day, 12:22:20 batch_cost: 0.8760 data_cost: 0.0067 ips: 63.9271 images/s [03/17 14:00:07] ppdet.engine INFO: Epoch: [19] [360/523] learning_rate: 0.277194 loss_vfl: 1.394847 loss_bbox: 0.671227 loss_dfl: 0.503392 loss: 2.580858 eta: 1 day, 12:22:06 batch_cost: 0.9035 data_cost: 0.0102 ips: 61.9821 images/s [03/17 14:00:27] ppdet.engine INFO: Epoch: [19] [380/523] learning_rate: 0.277183 loss_vfl: 1.325191 loss_bbox: 0.644978 loss_dfl: 0.472764 loss: 2.435379 eta: 1 day, 12:21:34 batch_cost: 0.8452 data_cost: 0.1535 ips: 66.2544 images/s [03/17 14:00:44] ppdet.engine INFO: Epoch: [19] [400/523] learning_rate: 0.277172 loss_vfl: 1.393754 loss_bbox: 0.640578 loss_dfl: 0.486637 loss: 2.548277 eta: 1 day, 12:20:31 batch_cost: 0.7344 data_cost: 0.0070 ips: 76.2528 images/s [03/17 14:01:04] ppdet.engine INFO: Epoch: [19] [420/523] learning_rate: 0.277160 loss_vfl: 1.304065 loss_bbox: 0.636037 loss_dfl: 0.473186 loss: 2.411133 eta: 1 day, 12:19:49 batch_cost: 0.8077 data_cost: 0.0970 ips: 69.3327 images/s [03/17 14:01:26] ppdet.engine INFO: Epoch: [19] [440/523] learning_rate: 0.277149 loss_vfl: 1.410581 loss_bbox: 0.631288 loss_dfl: 0.481580 loss: 2.523256 eta: 1 day, 12:19:53 batch_cost: 0.9675 data_cost: 0.0913 ips: 57.8820 images/s [03/17 14:01:46] ppdet.engine INFO: Epoch: [19] [460/523] learning_rate: 0.277138 loss_vfl: 1.367589 loss_bbox: 0.653552 loss_dfl: 0.489260 loss: 2.500537 eta: 1 day, 12:18:47 batch_cost: 0.7222 data_cost: 0.0008 ips: 77.5425 images/s [03/17 14:02:11] ppdet.engine INFO: Epoch: [19] [480/523] learning_rate: 0.277126 loss_vfl: 1.351650 loss_bbox: 0.644948 loss_dfl: 0.488594 loss: 2.514002 eta: 1 day, 12:19:11 batch_cost: 1.0429 data_cost: 0.3605 ips: 53.6950 images/s [03/17 14:02:33] ppdet.engine INFO: Epoch: [19] [500/523] learning_rate: 0.277115 loss_vfl: 1.365037 loss_bbox: 0.685478 loss_dfl: 0.495630 loss: 2.532264 eta: 1 day, 12:19:24 batch_cost: 1.0012 data_cost: 0.2245 ips: 55.9350 images/s [03/17 14:02:49] ppdet.engine INFO: Epoch: [19] [520/523] learning_rate: 0.277104 loss_vfl: 1.403965 loss_bbox: 0.649474 loss_dfl: 0.484749 loss: 2.555423 eta: 1 day, 12:18:21 batch_cost: 0.7335 data_cost: 0.1273 ips: 76.3503 images/s [03/17 14:02:51] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 14:02:52] ppdet.engine INFO: Eval iter: 0 [03/17 14:03:17] ppdet.engine INFO: Eval iter: 100 [03/17 14:03:30] ppdet.engine INFO: Eval iter: 200 [03/17 14:03:43] ppdet.engine INFO: Eval iter: 300 [03/17 14:03:56] ppdet.engine INFO: Eval iter: 400 [03/17 14:04:09] ppdet.engine INFO: Eval iter: 500 [03/17 14:04:22] ppdet.engine INFO: Eval iter: 600 [03/17 14:04:37] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.58s) creating index... index created! [03/17 14:04:38] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.59s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=82.35s). Accumulating evaluation results... DONE (t=17.38s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.164 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.265 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.170 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.053 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.157 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.274 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.198 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 ] = 0.347 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 ] = 0.371 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.575 [03/17 14:06:24] ppdet.engine INFO: Total sample number: 4952, averge FPS: 52.75603858549368 [03/17 14:06:24] ppdet.engine INFO: Best test bbox ap is 0.164. [03/17 14:06:24] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 14:06:25] ppdet.engine INFO: Epoch: [20] [ 0/523] learning_rate: 0.277102 loss_vfl: 1.403965 loss_bbox: 0.645793 loss_dfl: 0.481091 loss: 2.519773 eta: 1 day, 12:17:53 batch_cost: 0.6369 data_cost: 0.0821 ips: 87.9255 images/s [03/17 14:06:42] ppdet.engine INFO: Epoch: [20] [ 20/523] learning_rate: 0.277091 loss_vfl: 1.288143 loss_bbox: 0.601322 loss_dfl: 0.453270 loss: 2.312435 eta: 1 day, 12:16:35 batch_cost: 0.6758 data_cost: 0.0069 ips: 82.8631 images/s [03/17 14:07:03] ppdet.engine INFO: Epoch: [20] [ 40/523] learning_rate: 0.277079 loss_vfl: 1.262136 loss_bbox: 0.625070 loss_dfl: 0.463041 loss: 2.370368 eta: 1 day, 12:15:59 batch_cost: 0.8272 data_cost: 0.0077 ips: 67.6952 images/s [03/17 14:07:25] ppdet.engine INFO: Epoch: [20] [ 60/523] learning_rate: 0.277068 loss_vfl: 1.262425 loss_bbox: 0.599984 loss_dfl: 0.441888 loss: 2.315478 eta: 1 day, 12:15:38 batch_cost: 0.8799 data_cost: 0.0147 ips: 63.6406 images/s [03/17 14:07:45] ppdet.engine INFO: Epoch: [20] [ 80/523] learning_rate: 0.277056 loss_vfl: 1.328753 loss_bbox: 0.636333 loss_dfl: 0.480258 loss: 2.432861 eta: 1 day, 12:15:13 batch_cost: 0.8661 data_cost: 0.0850 ips: 64.6543 images/s [03/17 14:08:07] ppdet.engine INFO: Epoch: [20] [100/523] learning_rate: 0.277045 loss_vfl: 1.321964 loss_bbox: 0.638324 loss_dfl: 0.470818 loss: 2.400005 eta: 1 day, 12:15:16 batch_cost: 0.9686 data_cost: 0.1032 ips: 57.8127 images/s [03/17 14:08:28] ppdet.engine INFO: Epoch: [20] [120/523] learning_rate: 0.277033 loss_vfl: 1.388532 loss_bbox: 0.699604 loss_dfl: 0.512996 loss: 2.595986 eta: 1 day, 12:14:55 batch_cost: 0.8797 data_cost: 0.0165 ips: 63.6603 images/s [03/17 14:08:50] ppdet.engine INFO: Epoch: [20] [140/523] learning_rate: 0.277022 loss_vfl: 1.314643 loss_bbox: 0.653097 loss_dfl: 0.483669 loss: 2.446059 eta: 1 day, 12:15:07 batch_cost: 0.9991 data_cost: 0.0043 ips: 56.0494 images/s [03/17 14:09:11] ppdet.engine INFO: Epoch: [20] [160/523] learning_rate: 0.277010 loss_vfl: 1.312436 loss_bbox: 0.653808 loss_dfl: 0.481549 loss: 2.449615 eta: 1 day, 12:14:46 batch_cost: 0.8835 data_cost: 0.0032 ips: 63.3829 images/s [03/17 14:09:28] ppdet.engine INFO: Epoch: [20] [180/523] learning_rate: 0.276999 loss_vfl: 1.378194 loss_bbox: 0.675687 loss_dfl: 0.500368 loss: 2.563652 eta: 1 day, 12:13:41 batch_cost: 0.7179 data_cost: 0.0031 ips: 78.0033 images/s [03/17 14:09:47] ppdet.engine INFO: Epoch: [20] [200/523] learning_rate: 0.276987 loss_vfl: 1.347976 loss_bbox: 0.653329 loss_dfl: 0.484169 loss: 2.460444 eta: 1 day, 12:12:57 batch_cost: 0.7973 data_cost: 0.0019 ips: 70.2376 images/s [03/17 14:10:06] ppdet.engine INFO: Epoch: [20] [220/523] learning_rate: 0.276976 loss_vfl: 1.328803 loss_bbox: 0.642213 loss_dfl: 0.464870 loss: 2.436163 eta: 1 day, 12:12:27 batch_cost: 0.8482 data_cost: 0.0023 ips: 66.0223 images/s [03/17 14:10:28] ppdet.engine INFO: Epoch: [20] [240/523] learning_rate: 0.276964 loss_vfl: 1.342831 loss_bbox: 0.632869 loss_dfl: 0.471079 loss: 2.474884 eta: 1 day, 12:12:26 batch_cost: 0.9523 data_cost: 0.0058 ips: 58.8070 images/s [03/17 14:10:47] ppdet.engine INFO: Epoch: [20] [260/523] learning_rate: 0.276952 loss_vfl: 1.370958 loss_bbox: 0.625781 loss_dfl: 0.486240 loss: 2.493914 eta: 1 day, 12:11:48 batch_cost: 0.8186 data_cost: 0.0025 ips: 68.4055 images/s [03/17 14:11:08] ppdet.engine INFO: Epoch: [20] [280/523] learning_rate: 0.276941 loss_vfl: 1.363352 loss_bbox: 0.705739 loss_dfl: 0.513525 loss: 2.571792 eta: 1 day, 12:11:36 batch_cost: 0.9100 data_cost: 0.0307 ips: 61.5381 images/s [03/17 14:11:30] ppdet.engine INFO: Epoch: [20] [300/523] learning_rate: 0.276929 loss_vfl: 1.420415 loss_bbox: 0.655999 loss_dfl: 0.493361 loss: 2.612291 eta: 1 day, 12:11:09 batch_cost: 0.8590 data_cost: 0.1928 ips: 65.1927 images/s [03/17 14:11:52] ppdet.engine INFO: Epoch: [20] [320/523] learning_rate: 0.276917 loss_vfl: 1.376628 loss_bbox: 0.657692 loss_dfl: 0.485419 loss: 2.551680 eta: 1 day, 12:11:17 batch_cost: 0.9874 data_cost: 0.1108 ips: 56.7130 images/s [03/17 14:12:13] ppdet.engine INFO: Epoch: [20] [340/523] learning_rate: 0.276906 loss_vfl: 1.399657 loss_bbox: 0.698094 loss_dfl: 0.504236 loss: 2.601136 eta: 1 day, 12:10:55 batch_cost: 0.8752 data_cost: 0.0080 ips: 63.9835 images/s [03/17 14:12:32] ppdet.engine INFO: Epoch: [20] [360/523] learning_rate: 0.276894 loss_vfl: 1.363490 loss_bbox: 0.667818 loss_dfl: 0.502068 loss: 2.544998 eta: 1 day, 12:10:10 batch_cost: 0.7902 data_cost: 0.0017 ips: 70.8680 images/s [03/17 14:12:53] ppdet.engine INFO: Epoch: [20] [380/523] learning_rate: 0.276882 loss_vfl: 1.321662 loss_bbox: 0.666948 loss_dfl: 0.490870 loss: 2.510409 eta: 1 day, 12:10:09 batch_cost: 0.9551 data_cost: 0.1038 ips: 58.6353 images/s [03/17 14:13:14] ppdet.engine INFO: Epoch: [20] [400/523] learning_rate: 0.276870 loss_vfl: 1.422555 loss_bbox: 0.658458 loss_dfl: 0.496285 loss: 2.552552 eta: 1 day, 12:09:53 batch_cost: 0.8971 data_cost: 0.1678 ips: 62.4258 images/s [03/17 14:13:36] ppdet.engine INFO: Epoch: [20] [420/523] learning_rate: 0.276858 loss_vfl: 1.374940 loss_bbox: 0.645930 loss_dfl: 0.470256 loss: 2.472131 eta: 1 day, 12:09:33 batch_cost: 0.8836 data_cost: 0.1142 ips: 63.3767 images/s [03/17 14:13:56] ppdet.engine INFO: Epoch: [20] [440/523] learning_rate: 0.276847 loss_vfl: 1.406186 loss_bbox: 0.651450 loss_dfl: 0.481869 loss: 2.519051 eta: 1 day, 12:08:48 batch_cost: 0.7913 data_cost: 0.1517 ips: 70.7710 images/s [03/17 14:14:15] ppdet.engine INFO: Epoch: [20] [460/523] learning_rate: 0.276835 loss_vfl: 1.360656 loss_bbox: 0.656215 loss_dfl: 0.484942 loss: 2.526036 eta: 1 day, 12:08:05 batch_cost: 0.7969 data_cost: 0.1377 ips: 70.2752 images/s [03/17 14:14:33] ppdet.engine INFO: Epoch: [20] [480/523] learning_rate: 0.276823 loss_vfl: 1.260693 loss_bbox: 0.632604 loss_dfl: 0.464002 loss: 2.370898 eta: 1 day, 12:07:17 batch_cost: 0.7779 data_cost: 0.1320 ips: 71.9856 images/s [03/17 14:14:52] ppdet.engine INFO: Epoch: [20] [500/523] learning_rate: 0.276811 loss_vfl: 1.378186 loss_bbox: 0.667882 loss_dfl: 0.500020 loss: 2.531324 eta: 1 day, 12:06:37 batch_cost: 0.8064 data_cost: 0.0767 ips: 69.4445 images/s [03/17 14:15:08] ppdet.engine INFO: Epoch: [20] [520/523] learning_rate: 0.276799 loss_vfl: 1.393713 loss_bbox: 0.679080 loss_dfl: 0.498578 loss: 2.570255 eta: 1 day, 12:05:30 batch_cost: 0.7066 data_cost: 0.0584 ips: 79.2575 images/s [03/17 14:15:22] ppdet.engine INFO: Epoch: [21] [ 0/523] learning_rate: 0.276797 loss_vfl: 1.403370 loss_bbox: 0.690378 loss_dfl: 0.507573 loss: 2.622403 eta: 1 day, 12:07:42 batch_cost: 1.2220 data_cost: 0.4191 ips: 45.8251 images/s [03/17 14:15:42] ppdet.engine INFO: Epoch: [21] [ 20/523] learning_rate: 0.276785 loss_vfl: 1.355516 loss_bbox: 0.653797 loss_dfl: 0.499762 loss: 2.512443 eta: 1 day, 12:06:55 batch_cost: 0.7796 data_cost: 0.0036 ips: 71.8280 images/s [03/17 14:16:04] ppdet.engine INFO: Epoch: [21] [ 40/523] learning_rate: 0.276773 loss_vfl: 1.300209 loss_bbox: 0.612453 loss_dfl: 0.469529 loss: 2.392479 eta: 1 day, 12:06:25 batch_cost: 0.8455 data_cost: 0.0047 ips: 66.2298 images/s [03/17 14:16:23] ppdet.engine INFO: Epoch: [21] [ 60/523] learning_rate: 0.276761 loss_vfl: 1.371778 loss_bbox: 0.642639 loss_dfl: 0.485462 loss: 2.496180 eta: 1 day, 12:05:46 batch_cost: 0.8124 data_cost: 0.0403 ips: 68.9326 images/s [03/17 14:16:44] ppdet.engine INFO: Epoch: [21] [ 80/523] learning_rate: 0.276749 loss_vfl: 1.324825 loss_bbox: 0.646072 loss_dfl: 0.482080 loss: 2.490124 eta: 1 day, 12:05:26 batch_cost: 0.8812 data_cost: 0.1235 ips: 63.5493 images/s [03/17 14:17:07] ppdet.engine INFO: Epoch: [21] [100/523] learning_rate: 0.276737 loss_vfl: 1.394097 loss_bbox: 0.700459 loss_dfl: 0.509774 loss: 2.589083 eta: 1 day, 12:05:19 batch_cost: 0.9325 data_cost: 0.1279 ips: 60.0526 images/s [03/17 14:17:26] ppdet.engine INFO: Epoch: [21] [120/523] learning_rate: 0.276725 loss_vfl: 1.342876 loss_bbox: 0.651827 loss_dfl: 0.480606 loss: 2.476563 eta: 1 day, 12:04:43 batch_cost: 0.8236 data_cost: 0.0723 ips: 67.9916 images/s [03/17 14:17:49] ppdet.engine INFO: Epoch: [21] [140/523] learning_rate: 0.276713 loss_vfl: 1.356930 loss_bbox: 0.682166 loss_dfl: 0.504577 loss: 2.532012 eta: 1 day, 12:04:43 batch_cost: 0.9565 data_cost: 0.1884 ips: 58.5475 images/s [03/17 14:18:10] ppdet.engine INFO: Epoch: [21] [160/523] learning_rate: 0.276701 loss_vfl: 1.282092 loss_bbox: 0.604733 loss_dfl: 0.448890 loss: 2.336247 eta: 1 day, 12:04:13 batch_cost: 0.8440 data_cost: 0.1573 ips: 66.3487 images/s [03/17 14:18:32] ppdet.engine INFO: Epoch: [21] [180/523] learning_rate: 0.276689 loss_vfl: 1.403417 loss_bbox: 0.665018 loss_dfl: 0.493320 loss: 2.552673 eta: 1 day, 12:03:57 batch_cost: 0.8980 data_cost: 0.1984 ips: 62.3625 images/s [03/17 14:18:52] ppdet.engine INFO: Epoch: [21] [200/523] learning_rate: 0.276677 loss_vfl: 1.301400 loss_bbox: 0.625350 loss_dfl: 0.467521 loss: 2.377403 eta: 1 day, 12:03:39 batch_cost: 0.8925 data_cost: 0.1689 ips: 62.7443 images/s [03/17 14:19:12] ppdet.engine INFO: Epoch: [21] [220/523] learning_rate: 0.276664 loss_vfl: 1.342062 loss_bbox: 0.640715 loss_dfl: 0.482775 loss: 2.474390 eta: 1 day, 12:03:04 batch_cost: 0.8223 data_cost: 0.1738 ips: 68.1002 images/s [03/17 14:19:30] ppdet.engine INFO: Epoch: [21] [240/523] learning_rate: 0.276652 loss_vfl: 1.354524 loss_bbox: 0.657170 loss_dfl: 0.491164 loss: 2.477534 eta: 1 day, 12:02:24 batch_cost: 0.8065 data_cost: 0.0873 ips: 69.4324 images/s [03/17 14:19:48] ppdet.engine INFO: Epoch: [21] [260/523] learning_rate: 0.276640 loss_vfl: 1.347017 loss_bbox: 0.645345 loss_dfl: 0.481182 loss: 2.467638 eta: 1 day, 12:01:33 batch_cost: 0.7635 data_cost: 0.0061 ips: 73.3459 images/s [03/17 14:20:11] ppdet.engine INFO: Epoch: [21] [280/523] learning_rate: 0.276628 loss_vfl: 1.353776 loss_bbox: 0.653899 loss_dfl: 0.489957 loss: 2.471638 eta: 1 day, 12:01:32 batch_cost: 0.9565 data_cost: 0.0436 ips: 58.5459 images/s [03/17 14:20:31] ppdet.engine INFO: Epoch: [21] [300/523] learning_rate: 0.276615 loss_vfl: 1.309539 loss_bbox: 0.627828 loss_dfl: 0.469693 loss: 2.425508 eta: 1 day, 12:01:05 batch_cost: 0.8550 data_cost: 0.0046 ips: 65.4967 images/s [03/17 14:20:51] ppdet.engine INFO: Epoch: [21] [320/523] learning_rate: 0.276603 loss_vfl: 1.451973 loss_bbox: 0.711018 loss_dfl: 0.508635 loss: 2.687495 eta: 1 day, 12:00:21 batch_cost: 0.7883 data_cost: 0.0392 ips: 71.0427 images/s [03/17 14:21:11] ppdet.engine INFO: Epoch: [21] [340/523] learning_rate: 0.276591 loss_vfl: 1.329638 loss_bbox: 0.654266 loss_dfl: 0.488479 loss: 2.457640 eta: 1 day, 11:59:49 batch_cost: 0.8348 data_cost: 0.1221 ips: 67.0796 images/s [03/17 14:21:32] ppdet.engine INFO: Epoch: [21] [360/523] learning_rate: 0.276579 loss_vfl: 1.414131 loss_bbox: 0.662276 loss_dfl: 0.498779 loss: 2.611025 eta: 1 day, 11:59:29 batch_cost: 0.8798 data_cost: 0.1006 ips: 63.6542 images/s [03/17 14:21:54] ppdet.engine INFO: Epoch: [21] [380/523] learning_rate: 0.276566 loss_vfl: 1.362154 loss_bbox: 0.653372 loss_dfl: 0.492890 loss: 2.500696 eta: 1 day, 11:59:14 batch_cost: 0.9029 data_cost: 0.3215 ips: 62.0199 images/s [03/17 14:22:16] ppdet.engine INFO: Epoch: [21] [400/523] learning_rate: 0.276554 loss_vfl: 1.410996 loss_bbox: 0.671995 loss_dfl: 0.503565 loss: 2.594564 eta: 1 day, 11:59:09 batch_cost: 0.9404 data_cost: 0.0473 ips: 59.5515 images/s [03/17 14:22:34] ppdet.engine INFO: Epoch: [21] [420/523] learning_rate: 0.276541 loss_vfl: 1.320438 loss_bbox: 0.614088 loss_dfl: 0.472979 loss: 2.413553 eta: 1 day, 11:58:12 batch_cost: 0.7343 data_cost: 0.0110 ips: 76.2618 images/s [03/17 14:22:56] ppdet.engine INFO: Epoch: [21] [440/523] learning_rate: 0.276529 loss_vfl: 1.338599 loss_bbox: 0.655687 loss_dfl: 0.474772 loss: 2.440331 eta: 1 day, 11:57:56 batch_cost: 0.9002 data_cost: 0.0730 ips: 62.2062 images/s [03/17 14:23:17] ppdet.engine INFO: Epoch: [21] [460/523] learning_rate: 0.276517 loss_vfl: 1.313270 loss_bbox: 0.656303 loss_dfl: 0.481266 loss: 2.469709 eta: 1 day, 11:57:39 batch_cost: 0.8905 data_cost: 0.1372 ips: 62.8883 images/s [03/17 14:23:37] ppdet.engine INFO: Epoch: [21] [480/523] learning_rate: 0.276504 loss_vfl: 1.354046 loss_bbox: 0.645819 loss_dfl: 0.480530 loss: 2.496329 eta: 1 day, 11:57:05 batch_cost: 0.8279 data_cost: 0.0058 ips: 67.6397 images/s [03/17 14:24:00] ppdet.engine INFO: Epoch: [21] [500/523] learning_rate: 0.276492 loss_vfl: 1.297840 loss_bbox: 0.641550 loss_dfl: 0.463048 loss: 2.381099 eta: 1 day, 11:57:19 batch_cost: 1.0144 data_cost: 0.2309 ips: 55.2073 images/s [03/17 14:24:13] ppdet.engine INFO: Epoch: [21] [520/523] learning_rate: 0.276479 loss_vfl: 1.346001 loss_bbox: 0.648096 loss_dfl: 0.490736 loss: 2.465065 eta: 1 day, 11:55:50 batch_cost: 0.6073 data_cost: 0.0025 ips: 92.2130 images/s [03/17 14:24:25] ppdet.engine INFO: Epoch: [22] [ 0/523] learning_rate: 0.276477 loss_vfl: 1.331024 loss_bbox: 0.634195 loss_dfl: 0.488176 loss: 2.446843 eta: 1 day, 11:57:27 batch_cost: 1.0257 data_cost: 0.2579 ips: 54.5976 images/s [03/17 14:24:45] ppdet.engine INFO: Epoch: [22] [ 20/523] learning_rate: 0.276465 loss_vfl: 1.375991 loss_bbox: 0.711400 loss_dfl: 0.511030 loss: 2.645082 eta: 1 day, 11:56:48 batch_cost: 0.8094 data_cost: 0.0043 ips: 69.1865 images/s [03/17 14:25:05] ppdet.engine INFO: Epoch: [22] [ 40/523] learning_rate: 0.276452 loss_vfl: 1.311455 loss_bbox: 0.618925 loss_dfl: 0.447049 loss: 2.351698 eta: 1 day, 11:56:35 batch_cost: 0.9089 data_cost: 0.0034 ips: 61.6141 images/s [03/17 14:25:28] ppdet.engine INFO: Epoch: [22] [ 60/523] learning_rate: 0.276440 loss_vfl: 1.325375 loss_bbox: 0.630165 loss_dfl: 0.472613 loss: 2.417587 eta: 1 day, 11:56:57 batch_cost: 1.0483 data_cost: 0.0074 ips: 53.4181 images/s [03/17 14:25:50] ppdet.engine INFO: Epoch: [22] [ 80/523] learning_rate: 0.276427 loss_vfl: 1.334342 loss_bbox: 0.657529 loss_dfl: 0.489551 loss: 2.506575 eta: 1 day, 11:57:01 batch_cost: 0.9765 data_cost: 0.0019 ips: 57.3499 images/s [03/17 14:26:13] ppdet.engine INFO: Epoch: [22] [100/523] learning_rate: 0.276414 loss_vfl: 1.377373 loss_bbox: 0.668821 loss_dfl: 0.509163 loss: 2.549858 eta: 1 day, 11:57:24 batch_cost: 1.0518 data_cost: 0.0055 ips: 53.2401 images/s [03/17 14:26:34] ppdet.engine INFO: Epoch: [22] [120/523] learning_rate: 0.276402 loss_vfl: 1.418473 loss_bbox: 0.681846 loss_dfl: 0.513106 loss: 2.599360 eta: 1 day, 11:57:02 batch_cost: 0.8741 data_cost: 0.0013 ips: 64.0645 images/s [03/17 14:26:56] ppdet.engine INFO: Epoch: [22] [140/523] learning_rate: 0.276389 loss_vfl: 1.289363 loss_bbox: 0.653218 loss_dfl: 0.469364 loss: 2.429185 eta: 1 day, 11:57:20 batch_cost: 1.0365 data_cost: 0.0029 ips: 54.0264 images/s [03/17 14:27:18] ppdet.engine INFO: Epoch: [22] [160/523] learning_rate: 0.276376 loss_vfl: 1.286688 loss_bbox: 0.621658 loss_dfl: 0.460039 loss: 2.366053 eta: 1 day, 11:57:21 batch_cost: 0.9677 data_cost: 0.0021 ips: 57.8691 images/s [03/17 14:27:39] ppdet.engine INFO: Epoch: [22] [180/523] learning_rate: 0.276364 loss_vfl: 1.345495 loss_bbox: 0.643988 loss_dfl: 0.473034 loss: 2.450068 eta: 1 day, 11:57:11 batch_cost: 0.9226 data_cost: 0.0053 ips: 60.6990 images/s [03/17 14:28:00] ppdet.engine INFO: Epoch: [22] [200/523] learning_rate: 0.276351 loss_vfl: 1.345011 loss_bbox: 0.641257 loss_dfl: 0.470512 loss: 2.437855 eta: 1 day, 11:56:58 batch_cost: 0.9084 data_cost: 0.0015 ips: 61.6459 images/s [03/17 14:28:22] ppdet.engine INFO: Epoch: [22] [220/523] learning_rate: 0.276338 loss_vfl: 1.364341 loss_bbox: 0.646381 loss_dfl: 0.475439 loss: 2.415699 eta: 1 day, 11:56:51 batch_cost: 0.9371 data_cost: 0.0022 ips: 59.7591 images/s [03/17 14:28:42] ppdet.engine INFO: Epoch: [22] [240/523] learning_rate: 0.276325 loss_vfl: 1.335608 loss_bbox: 0.647433 loss_dfl: 0.477375 loss: 2.465448 eta: 1 day, 11:56:34 batch_cost: 0.8961 data_cost: 0.0046 ips: 62.4935 images/s [03/17 14:29:01] ppdet.engine INFO: Epoch: [22] [260/523] learning_rate: 0.276313 loss_vfl: 1.380521 loss_bbox: 0.698242 loss_dfl: 0.501007 loss: 2.587874 eta: 1 day, 11:55:54 batch_cost: 0.7976 data_cost: 0.0015 ips: 70.2089 images/s [03/17 14:29:19] ppdet.engine INFO: Epoch: [22] [280/523] learning_rate: 0.276300 loss_vfl: 1.326870 loss_bbox: 0.619785 loss_dfl: 0.470314 loss: 2.377453 eta: 1 day, 11:55:08 batch_cost: 0.7790 data_cost: 0.0028 ips: 71.8908 images/s [03/17 14:29:39] ppdet.engine INFO: Epoch: [22] [300/523] learning_rate: 0.276287 loss_vfl: 1.336258 loss_bbox: 0.641826 loss_dfl: 0.483492 loss: 2.484835 eta: 1 day, 11:54:47 batch_cost: 0.8761 data_cost: 0.0033 ips: 63.9165 images/s [03/17 14:30:00] ppdet.engine INFO: Epoch: [22] [320/523] learning_rate: 0.276274 loss_vfl: 1.318712 loss_bbox: 0.641643 loss_dfl: 0.485560 loss: 2.462233 eta: 1 day, 11:54:42 batch_cost: 0.9433 data_cost: 0.0076 ips: 59.3691 images/s [03/17 14:30:23] ppdet.engine INFO: Epoch: [22] [340/523] learning_rate: 0.276261 loss_vfl: 1.368447 loss_bbox: 0.673621 loss_dfl: 0.496048 loss: 2.557523 eta: 1 day, 11:54:46 batch_cost: 0.9833 data_cost: 0.0089 ips: 56.9510 images/s [03/17 14:30:43] ppdet.engine INFO: Epoch: [22] [360/523] learning_rate: 0.276248 loss_vfl: 1.389195 loss_bbox: 0.641347 loss_dfl: 0.492483 loss: 2.524767 eta: 1 day, 11:54:27 batch_cost: 0.8840 data_cost: 0.0109 ips: 63.3501 images/s [03/17 14:31:05] ppdet.engine INFO: Epoch: [22] [380/523] learning_rate: 0.276235 loss_vfl: 1.352238 loss_bbox: 0.658117 loss_dfl: 0.478860 loss: 2.487556 eta: 1 day, 11:54:38 batch_cost: 1.0106 data_cost: 0.0009 ips: 55.4143 images/s [03/17 14:31:27] ppdet.engine INFO: Epoch: [22] [400/523] learning_rate: 0.276222 loss_vfl: 1.345290 loss_bbox: 0.638627 loss_dfl: 0.478272 loss: 2.465506 eta: 1 day, 11:54:43 batch_cost: 0.9850 data_cost: 0.0034 ips: 56.8537 images/s [03/17 14:31:48] ppdet.engine INFO: Epoch: [22] [420/523] learning_rate: 0.276209 loss_vfl: 1.345432 loss_bbox: 0.665222 loss_dfl: 0.485953 loss: 2.524585 eta: 1 day, 11:54:39 batch_cost: 0.9492 data_cost: 0.0036 ips: 58.9994 images/s [03/17 14:32:10] ppdet.engine INFO: Epoch: [22] [440/523] learning_rate: 0.276196 loss_vfl: 1.402513 loss_bbox: 0.665705 loss_dfl: 0.485683 loss: 2.532272 eta: 1 day, 11:54:49 batch_cost: 1.0063 data_cost: 0.0017 ips: 55.6521 images/s [03/17 14:32:33] ppdet.engine INFO: Epoch: [22] [460/523] learning_rate: 0.276183 loss_vfl: 1.440606 loss_bbox: 0.687814 loss_dfl: 0.503651 loss: 2.642599 eta: 1 day, 11:54:59 batch_cost: 1.0067 data_cost: 0.0034 ips: 55.6267 images/s [03/17 14:32:53] ppdet.engine INFO: Epoch: [22] [480/523] learning_rate: 0.276170 loss_vfl: 1.330004 loss_bbox: 0.665184 loss_dfl: 0.481946 loss: 2.443660 eta: 1 day, 11:54:42 batch_cost: 0.8976 data_cost: 0.0052 ips: 62.3894 images/s [03/17 14:33:14] ppdet.engine INFO: Epoch: [22] [500/523] learning_rate: 0.276157 loss_vfl: 1.428585 loss_bbox: 0.677258 loss_dfl: 0.516994 loss: 2.656762 eta: 1 day, 11:54:44 batch_cost: 0.9713 data_cost: 0.0021 ips: 57.6560 images/s [03/17 14:33:32] ppdet.engine INFO: Epoch: [22] [520/523] learning_rate: 0.276144 loss_vfl: 1.380202 loss_bbox: 0.698921 loss_dfl: 0.505167 loss: 2.597931 eta: 1 day, 11:53:58 batch_cost: 0.7757 data_cost: 0.0036 ips: 72.1967 images/s [03/17 14:33:43] ppdet.engine INFO: Epoch: [23] [ 0/523] learning_rate: 0.276142 loss_vfl: 1.400490 loss_bbox: 0.700868 loss_dfl: 0.517451 loss: 2.629426 eta: 1 day, 11:55:26 batch_cost: 1.0527 data_cost: 0.2114 ips: 53.1969 images/s [03/17 14:34:01] ppdet.engine INFO: Epoch: [23] [ 20/523] learning_rate: 0.276129 loss_vfl: 1.284720 loss_bbox: 0.648391 loss_dfl: 0.478803 loss: 2.449661 eta: 1 day, 11:54:27 batch_cost: 0.7248 data_cost: 0.0024 ips: 77.2660 images/s [03/17 14:34:21] ppdet.engine INFO: Epoch: [23] [ 40/523] learning_rate: 0.276116 loss_vfl: 1.342419 loss_bbox: 0.639990 loss_dfl: 0.485859 loss: 2.516627 eta: 1 day, 11:53:51 batch_cost: 0.8157 data_cost: 0.0021 ips: 68.6512 images/s [03/17 14:34:44] ppdet.engine INFO: Epoch: [23] [ 60/523] learning_rate: 0.276103 loss_vfl: 1.306358 loss_bbox: 0.655766 loss_dfl: 0.494163 loss: 2.442800 eta: 1 day, 11:54:10 batch_cost: 1.0435 data_cost: 0.0051 ips: 53.6649 images/s [03/17 14:35:06] ppdet.engine INFO: Epoch: [23] [ 80/523] learning_rate: 0.276090 loss_vfl: 1.324169 loss_bbox: 0.608539 loss_dfl: 0.465935 loss: 2.388632 eta: 1 day, 11:54:18 batch_cost: 1.0039 data_cost: 0.0078 ips: 55.7841 images/s [03/17 14:35:26] ppdet.engine INFO: Epoch: [23] [100/523] learning_rate: 0.276077 loss_vfl: 1.360119 loss_bbox: 0.639051 loss_dfl: 0.481538 loss: 2.503020 eta: 1 day, 11:54:01 batch_cost: 0.8937 data_cost: 0.0073 ips: 62.6600 images/s [03/17 14:35:50] ppdet.engine INFO: Epoch: [23] [120/523] learning_rate: 0.276063 loss_vfl: 1.345981 loss_bbox: 0.648562 loss_dfl: 0.477183 loss: 2.480856 eta: 1 day, 11:54:24 batch_cost: 1.0648 data_cost: 0.0043 ips: 52.5936 images/s [03/17 14:36:09] ppdet.engine INFO: Epoch: [23] [140/523] learning_rate: 0.276050 loss_vfl: 1.456125 loss_bbox: 0.738155 loss_dfl: 0.536083 loss: 2.740295 eta: 1 day, 11:54:00 batch_cost: 0.8666 data_cost: 0.0025 ips: 64.6231 images/s [03/17 14:36:31] ppdet.engine INFO: Epoch: [23] [160/523] learning_rate: 0.276037 loss_vfl: 1.359648 loss_bbox: 0.656879 loss_dfl: 0.486358 loss: 2.522066 eta: 1 day, 11:54:10 batch_cost: 1.0101 data_cost: 0.0064 ips: 55.4421 images/s [03/17 14:36:53] ppdet.engine INFO: Epoch: [23] [180/523] learning_rate: 0.276024 loss_vfl: 1.318114 loss_bbox: 0.660749 loss_dfl: 0.480272 loss: 2.432508 eta: 1 day, 11:54:10 batch_cost: 0.9683 data_cost: 0.0048 ips: 57.8306 images/s [03/17 14:37:15] ppdet.engine INFO: Epoch: [23] [200/523] learning_rate: 0.276010 loss_vfl: 1.334256 loss_bbox: 0.612255 loss_dfl: 0.469901 loss: 2.411583 eta: 1 day, 11:54:19 batch_cost: 1.0077 data_cost: 0.0044 ips: 55.5743 images/s [03/17 14:37:39] ppdet.engine INFO: Epoch: [23] [220/523] learning_rate: 0.275997 loss_vfl: 1.339022 loss_bbox: 0.648827 loss_dfl: 0.481528 loss: 2.486073 eta: 1 day, 11:54:45 batch_cost: 1.0821 data_cost: 0.0017 ips: 51.7518 images/s [03/17 14:37:59] ppdet.engine INFO: Epoch: [23] [240/523] learning_rate: 0.275984 loss_vfl: 1.393652 loss_bbox: 0.673552 loss_dfl: 0.495137 loss: 2.586195 eta: 1 day, 11:54:33 batch_cost: 0.9174 data_cost: 0.0064 ips: 61.0414 images/s [03/17 14:38:22] ppdet.engine INFO: Epoch: [23] [260/523] learning_rate: 0.275970 loss_vfl: 1.334439 loss_bbox: 0.633254 loss_dfl: 0.476600 loss: 2.432578 eta: 1 day, 11:54:39 batch_cost: 0.9964 data_cost: 0.0024 ips: 56.2004 images/s [03/17 14:38:37] ppdet.engine INFO: Epoch: [23] [280/523] learning_rate: 0.275957 loss_vfl: 1.346706 loss_bbox: 0.650479 loss_dfl: 0.474699 loss: 2.452529 eta: 1 day, 11:53:34 batch_cost: 0.6907 data_cost: 0.0076 ips: 81.0719 images/s [03/17 14:38:55] ppdet.engine INFO: Epoch: [23] [300/523] learning_rate: 0.275943 loss_vfl: 1.324647 loss_bbox: 0.651784 loss_dfl: 0.493594 loss: 2.470869 eta: 1 day, 11:52:43 batch_cost: 0.7524 data_cost: 0.0033 ips: 74.4238 images/s [03/17 14:39:18] ppdet.engine INFO: Epoch: [23] [320/523] learning_rate: 0.275930 loss_vfl: 1.317431 loss_bbox: 0.650031 loss_dfl: 0.484193 loss: 2.480751 eta: 1 day, 11:53:02 batch_cost: 1.0531 data_cost: 0.0025 ips: 53.1788 images/s [03/17 14:39:38] ppdet.engine INFO: Epoch: [23] [340/523] learning_rate: 0.275916 loss_vfl: 1.338602 loss_bbox: 0.627757 loss_dfl: 0.471476 loss: 2.464894 eta: 1 day, 11:52:38 batch_cost: 0.8653 data_cost: 0.0024 ips: 64.7179 images/s [03/17 14:39:59] ppdet.engine INFO: Epoch: [23] [360/523] learning_rate: 0.275903 loss_vfl: 1.330310 loss_bbox: 0.630974 loss_dfl: 0.481411 loss: 2.445519 eta: 1 day, 11:52:26 batch_cost: 0.9185 data_cost: 0.0118 ips: 60.9687 images/s [03/17 14:40:20] ppdet.engine INFO: Epoch: [23] [380/523] learning_rate: 0.275890 loss_vfl: 1.367516 loss_bbox: 0.654895 loss_dfl: 0.483898 loss: 2.519143 eta: 1 day, 11:52:13 batch_cost: 0.9165 data_cost: 0.0031 ips: 61.0988 images/s [03/17 14:40:41] ppdet.engine INFO: Epoch: [23] [400/523] learning_rate: 0.275876 loss_vfl: 1.388054 loss_bbox: 0.651195 loss_dfl: 0.484230 loss: 2.519265 eta: 1 day, 11:52:10 batch_cost: 0.9574 data_cost: 0.0044 ips: 58.4901 images/s [03/17 14:41:02] ppdet.engine INFO: Epoch: [23] [420/523] learning_rate: 0.275862 loss_vfl: 1.325718 loss_bbox: 0.635610 loss_dfl: 0.459007 loss: 2.369888 eta: 1 day, 11:52:02 batch_cost: 0.9362 data_cost: 0.0049 ips: 59.8178 images/s [03/17 14:41:26] ppdet.engine INFO: Epoch: [23] [440/523] learning_rate: 0.275849 loss_vfl: 1.371442 loss_bbox: 0.648443 loss_dfl: 0.486100 loss: 2.509121 eta: 1 day, 11:52:34 batch_cost: 1.1090 data_cost: 0.0049 ips: 50.4979 images/s [03/17 14:41:45] ppdet.engine INFO: Epoch: [23] [460/523] learning_rate: 0.275835 loss_vfl: 1.299991 loss_bbox: 0.654420 loss_dfl: 0.462584 loss: 2.351235 eta: 1 day, 11:52:02 batch_cost: 0.8348 data_cost: 0.0068 ips: 67.0830 images/s [03/17 14:42:07] ppdet.engine INFO: Epoch: [23] [480/523] learning_rate: 0.275822 loss_vfl: 1.335194 loss_bbox: 0.636716 loss_dfl: 0.477021 loss: 2.478353 eta: 1 day, 11:52:02 batch_cost: 0.9706 data_cost: 0.0044 ips: 57.6962 images/s [03/17 14:42:28] ppdet.engine INFO: Epoch: [23] [500/523] learning_rate: 0.275808 loss_vfl: 1.329111 loss_bbox: 0.621171 loss_dfl: 0.474021 loss: 2.443091 eta: 1 day, 11:51:56 batch_cost: 0.9441 data_cost: 0.0034 ips: 59.3156 images/s [03/17 14:42:46] ppdet.engine INFO: Epoch: [23] [520/523] learning_rate: 0.275794 loss_vfl: 1.339291 loss_bbox: 0.653049 loss_dfl: 0.491655 loss: 2.461902 eta: 1 day, 11:51:22 batch_cost: 0.8236 data_cost: 0.0034 ips: 67.9907 images/s [03/17 14:42:58] ppdet.engine INFO: Epoch: [24] [ 0/523] learning_rate: 0.275792 loss_vfl: 1.339291 loss_bbox: 0.650838 loss_dfl: 0.484667 loss: 2.455346 eta: 1 day, 11:52:47 batch_cost: 1.2153 data_cost: 0.3632 ips: 46.0799 images/s [03/17 14:43:18] ppdet.engine INFO: Epoch: [24] [ 20/523] learning_rate: 0.275779 loss_vfl: 1.361678 loss_bbox: 0.634144 loss_dfl: 0.484128 loss: 2.458801 eta: 1 day, 11:52:21 batch_cost: 0.8585 data_cost: 0.0015 ips: 65.2331 images/s [03/17 14:43:36] ppdet.engine INFO: Epoch: [24] [ 40/523] learning_rate: 0.275765 loss_vfl: 1.331656 loss_bbox: 0.627843 loss_dfl: 0.465104 loss: 2.436549 eta: 1 day, 11:51:12 batch_cost: 0.6724 data_cost: 0.0063 ips: 83.2856 images/s [03/17 14:43:55] ppdet.engine INFO: Epoch: [24] [ 60/523] learning_rate: 0.275751 loss_vfl: 1.385490 loss_bbox: 0.696028 loss_dfl: 0.505648 loss: 2.578655 eta: 1 day, 11:50:29 batch_cost: 0.7848 data_cost: 0.0028 ips: 71.3542 images/s [03/17 14:44:18] ppdet.engine INFO: Epoch: [24] [ 80/523] learning_rate: 0.275737 loss_vfl: 1.359725 loss_bbox: 0.695991 loss_dfl: 0.511819 loss: 2.552980 eta: 1 day, 11:50:34 batch_cost: 0.9932 data_cost: 0.2120 ips: 56.3851 images/s [03/17 14:44:38] ppdet.engine INFO: Epoch: [24] [100/523] learning_rate: 0.275724 loss_vfl: 1.364836 loss_bbox: 0.663808 loss_dfl: 0.489302 loss: 2.456331 eta: 1 day, 11:50:13 batch_cost: 0.8811 data_cost: 0.0034 ips: 63.5585 images/s [03/17 14:45:00] ppdet.engine INFO: Epoch: [24] [120/523] learning_rate: 0.275710 loss_vfl: 1.343907 loss_bbox: 0.666795 loss_dfl: 0.484897 loss: 2.484622 eta: 1 day, 11:49:59 batch_cost: 0.9132 data_cost: 0.0034 ips: 61.3254 images/s [03/17 14:45:20] ppdet.engine INFO: Epoch: [24] [140/523] learning_rate: 0.275696 loss_vfl: 1.367282 loss_bbox: 0.645220 loss_dfl: 0.476022 loss: 2.469119 eta: 1 day, 11:49:35 batch_cost: 0.8659 data_cost: 0.0065 ips: 64.6698 images/s [03/17 14:45:42] ppdet.engine INFO: Epoch: [24] [160/523] learning_rate: 0.275682 loss_vfl: 1.371605 loss_bbox: 0.665440 loss_dfl: 0.501052 loss: 2.513968 eta: 1 day, 11:49:30 batch_cost: 0.9505 data_cost: 0.0044 ips: 58.9157 images/s [03/17 14:46:03] ppdet.engine INFO: Epoch: [24] [180/523] learning_rate: 0.275668 loss_vfl: 1.367698 loss_bbox: 0.629542 loss_dfl: 0.475877 loss: 2.485085 eta: 1 day, 11:49:33 batch_cost: 0.9873 data_cost: 0.0158 ips: 56.7212 images/s [03/17 14:46:24] ppdet.engine INFO: Epoch: [24] [200/523] learning_rate: 0.275655 loss_vfl: 1.392291 loss_bbox: 0.681205 loss_dfl: 0.503954 loss: 2.577450 eta: 1 day, 11:49:03 batch_cost: 0.8434 data_cost: 0.0006 ips: 66.3979 images/s [03/17 14:46:44] ppdet.engine INFO: Epoch: [24] [220/523] learning_rate: 0.275641 loss_vfl: 1.302443 loss_bbox: 0.625776 loss_dfl: 0.460231 loss: 2.368565 eta: 1 day, 11:48:39 batch_cost: 0.8675 data_cost: 0.0025 ips: 64.5530 images/s [03/17 14:47:04] ppdet.engine INFO: Epoch: [24] [240/523] learning_rate: 0.275627 loss_vfl: 1.298835 loss_bbox: 0.648566 loss_dfl: 0.484780 loss: 2.424118 eta: 1 day, 11:48:07 batch_cost: 0.8298 data_cost: 0.0048 ips: 67.4898 images/s [03/17 14:47:24] ppdet.engine INFO: Epoch: [24] [260/523] learning_rate: 0.275613 loss_vfl: 1.328350 loss_bbox: 0.654665 loss_dfl: 0.485965 loss: 2.452072 eta: 1 day, 11:47:39 batch_cost: 0.8480 data_cost: 0.0011 ips: 66.0376 images/s [03/17 14:47:45] ppdet.engine INFO: Epoch: [24] [280/523] learning_rate: 0.275599 loss_vfl: 1.331214 loss_bbox: 0.631246 loss_dfl: 0.474012 loss: 2.423892 eta: 1 day, 11:47:31 batch_cost: 0.9389 data_cost: 0.0305 ips: 59.6420 images/s [03/17 14:48:06] ppdet.engine INFO: Epoch: [24] [300/523] learning_rate: 0.275585 loss_vfl: 1.365196 loss_bbox: 0.680416 loss_dfl: 0.493737 loss: 2.530373 eta: 1 day, 11:47:06 batch_cost: 0.8634 data_cost: 0.0017 ips: 64.8624 images/s [03/17 14:48:23] ppdet.engine INFO: Epoch: [24] [320/523] learning_rate: 0.275571 loss_vfl: 1.368022 loss_bbox: 0.674794 loss_dfl: 0.491478 loss: 2.542296 eta: 1 day, 11:46:18 batch_cost: 0.7589 data_cost: 0.0045 ips: 73.7905 images/s [03/17 14:48:42] ppdet.engine INFO: Epoch: [24] [340/523] learning_rate: 0.275557 loss_vfl: 1.352372 loss_bbox: 0.629050 loss_dfl: 0.473660 loss: 2.441436 eta: 1 day, 11:45:42 batch_cost: 0.8130 data_cost: 0.0043 ips: 68.8789 images/s [03/17 14:49:03] ppdet.engine INFO: Epoch: [24] [360/523] learning_rate: 0.275543 loss_vfl: 1.310031 loss_bbox: 0.629556 loss_dfl: 0.466205 loss: 2.412661 eta: 1 day, 11:45:21 batch_cost: 0.8801 data_cost: 0.0033 ips: 63.6309 images/s [03/17 14:49:23] ppdet.engine INFO: Epoch: [24] [380/523] learning_rate: 0.275529 loss_vfl: 1.360656 loss_bbox: 0.673811 loss_dfl: 0.494894 loss: 2.549812 eta: 1 day, 11:44:48 batch_cost: 0.8288 data_cost: 0.0023 ips: 67.5659 images/s [03/17 14:49:43] ppdet.engine INFO: Epoch: [24] [400/523] learning_rate: 0.275515 loss_vfl: 1.414941 loss_bbox: 0.676626 loss_dfl: 0.495192 loss: 2.532577 eta: 1 day, 11:44:35 batch_cost: 0.9124 data_cost: 0.0592 ips: 61.3795 images/s [03/17 14:50:05] ppdet.engine INFO: Epoch: [24] [420/523] learning_rate: 0.275500 loss_vfl: 1.342616 loss_bbox: 0.646831 loss_dfl: 0.490960 loss: 2.523036 eta: 1 day, 11:44:22 batch_cost: 0.9202 data_cost: 0.1443 ips: 60.8586 images/s [03/17 14:50:26] ppdet.engine INFO: Epoch: [24] [440/523] learning_rate: 0.275486 loss_vfl: 1.328571 loss_bbox: 0.616378 loss_dfl: 0.469209 loss: 2.402530 eta: 1 day, 11:44:10 batch_cost: 0.9198 data_cost: 0.0144 ips: 60.8860 images/s [03/17 14:50:45] ppdet.engine INFO: Epoch: [24] [460/523] learning_rate: 0.275472 loss_vfl: 1.400085 loss_bbox: 0.660503 loss_dfl: 0.483353 loss: 2.476317 eta: 1 day, 11:43:37 batch_cost: 0.8235 data_cost: 0.0106 ips: 68.0043 images/s [03/17 14:51:07] ppdet.engine INFO: Epoch: [24] [480/523] learning_rate: 0.275458 loss_vfl: 1.267189 loss_bbox: 0.613814 loss_dfl: 0.474088 loss: 2.383135 eta: 1 day, 11:43:19 batch_cost: 0.8927 data_cost: 0.0045 ips: 62.7342 images/s [03/17 14:51:28] ppdet.engine INFO: Epoch: [24] [500/523] learning_rate: 0.275444 loss_vfl: 1.332080 loss_bbox: 0.625597 loss_dfl: 0.472260 loss: 2.479764 eta: 1 day, 11:43:14 batch_cost: 0.9541 data_cost: 0.0135 ips: 58.6941 images/s [03/17 14:51:45] ppdet.engine INFO: Epoch: [24] [520/523] learning_rate: 0.275430 loss_vfl: 1.394185 loss_bbox: 0.687077 loss_dfl: 0.504089 loss: 2.582370 eta: 1 day, 11:42:19 batch_cost: 0.7255 data_cost: 0.0032 ips: 77.1896 images/s [03/17 14:51:57] ppdet.engine INFO: Epoch: [25] [ 0/523] learning_rate: 0.275427 loss_vfl: 1.366952 loss_bbox: 0.673188 loss_dfl: 0.504089 loss: 2.550534 eta: 1 day, 11:43:38 batch_cost: 1.0950 data_cost: 0.4466 ips: 51.1400 images/s [03/17 14:52:23] ppdet.engine INFO: Epoch: [25] [ 20/523] learning_rate: 0.275413 loss_vfl: 1.304940 loss_bbox: 0.627939 loss_dfl: 0.464504 loss: 2.409033 eta: 1 day, 11:44:08 batch_cost: 1.1137 data_cost: 0.1147 ips: 50.2824 images/s [03/17 14:52:45] ppdet.engine INFO: Epoch: [25] [ 40/523] learning_rate: 0.275399 loss_vfl: 1.267748 loss_bbox: 0.583785 loss_dfl: 0.447544 loss: 2.323727 eta: 1 day, 11:44:05 batch_cost: 0.9644 data_cost: 0.0029 ips: 58.0681 images/s [03/17 14:53:05] ppdet.engine INFO: Epoch: [25] [ 60/523] learning_rate: 0.275385 loss_vfl: 1.351059 loss_bbox: 0.659679 loss_dfl: 0.503588 loss: 2.539230 eta: 1 day, 11:43:27 batch_cost: 0.8011 data_cost: 0.0125 ips: 69.9014 images/s [03/17 14:53:24] ppdet.engine INFO: Epoch: [25] [ 80/523] learning_rate: 0.275370 loss_vfl: 1.357875 loss_bbox: 0.645358 loss_dfl: 0.476399 loss: 2.506959 eta: 1 day, 11:42:47 batch_cost: 0.7927 data_cost: 0.0056 ips: 70.6413 images/s [03/17 14:53:44] ppdet.engine INFO: Epoch: [25] [100/523] learning_rate: 0.275356 loss_vfl: 1.289258 loss_bbox: 0.629914 loss_dfl: 0.471847 loss: 2.388407 eta: 1 day, 11:42:15 batch_cost: 0.8320 data_cost: 0.0050 ips: 67.3105 images/s [03/17 14:54:07] ppdet.engine INFO: Epoch: [25] [120/523] learning_rate: 0.275342 loss_vfl: 1.403167 loss_bbox: 0.651312 loss_dfl: 0.473869 loss: 2.482466 eta: 1 day, 11:42:13 batch_cost: 0.9667 data_cost: 0.0056 ips: 57.9315 images/s [03/17 14:54:30] ppdet.engine INFO: Epoch: [25] [140/523] learning_rate: 0.275327 loss_vfl: 1.346106 loss_bbox: 0.674727 loss_dfl: 0.501931 loss: 2.519516 eta: 1 day, 11:42:17 batch_cost: 0.9965 data_cost: 0.0058 ips: 56.1988 images/s [03/17 14:54:53] ppdet.engine INFO: Epoch: [25] [160/523] learning_rate: 0.275313 loss_vfl: 1.340101 loss_bbox: 0.657095 loss_dfl: 0.487057 loss: 2.461513 eta: 1 day, 11:42:12 batch_cost: 0.9540 data_cost: 0.0018 ips: 58.6971 images/s [03/17 14:55:15] ppdet.engine INFO: Epoch: [25] [180/523] learning_rate: 0.275298 loss_vfl: 1.420693 loss_bbox: 0.682627 loss_dfl: 0.506769 loss: 2.597142 eta: 1 day, 11:42:11 batch_cost: 0.9719 data_cost: 0.0054 ips: 57.6182 images/s [03/17 14:55:38] ppdet.engine INFO: Epoch: [25] [200/523] learning_rate: 0.275284 loss_vfl: 1.337435 loss_bbox: 0.638584 loss_dfl: 0.481153 loss: 2.451657 eta: 1 day, 11:42:17 batch_cost: 1.0028 data_cost: 0.0799 ips: 55.8423 images/s [03/17 14:56:02] ppdet.engine INFO: Epoch: [25] [220/523] learning_rate: 0.275270 loss_vfl: 1.324082 loss_bbox: 0.640892 loss_dfl: 0.479823 loss: 2.427722 eta: 1 day, 11:42:13 batch_cost: 0.9609 data_cost: 0.0055 ips: 58.2786 images/s [03/17 14:56:23] ppdet.engine INFO: Epoch: [25] [240/523] learning_rate: 0.275255 loss_vfl: 1.379302 loss_bbox: 0.662544 loss_dfl: 0.488077 loss: 2.497104 eta: 1 day, 11:41:48 batch_cost: 0.8609 data_cost: 0.0093 ips: 65.0497 images/s [03/17 14:56:45] ppdet.engine INFO: Epoch: [25] [260/523] learning_rate: 0.275241 loss_vfl: 1.362717 loss_bbox: 0.638265 loss_dfl: 0.495905 loss: 2.497408 eta: 1 day, 11:41:41 batch_cost: 0.9457 data_cost: 0.0035 ips: 59.2184 images/s [03/17 14:57:10] ppdet.engine INFO: Epoch: [25] [280/523] learning_rate: 0.275226 loss_vfl: 1.354002 loss_bbox: 0.656550 loss_dfl: 0.487845 loss: 2.494501 eta: 1 day, 11:41:54 batch_cost: 1.0375 data_cost: 0.0069 ips: 53.9758 images/s [03/17 14:57:32] ppdet.engine INFO: Epoch: [25] [300/523] learning_rate: 0.275211 loss_vfl: 1.371619 loss_bbox: 0.681646 loss_dfl: 0.507452 loss: 2.574407 eta: 1 day, 11:41:31 batch_cost: 0.8727 data_cost: 0.0036 ips: 64.1709 images/s [03/17 14:57:49] ppdet.engine INFO: Epoch: [25] [320/523] learning_rate: 0.275197 loss_vfl: 1.352086 loss_bbox: 0.643187 loss_dfl: 0.479870 loss: 2.457664 eta: 1 day, 11:40:37 batch_cost: 0.7252 data_cost: 0.0088 ips: 77.2198 images/s [03/17 14:58:07] ppdet.engine INFO: Epoch: [25] [340/523] learning_rate: 0.275182 loss_vfl: 1.353659 loss_bbox: 0.652028 loss_dfl: 0.483946 loss: 2.482313 eta: 1 day, 11:39:49 batch_cost: 0.7582 data_cost: 0.0026 ips: 73.8617 images/s [03/17 14:58:30] ppdet.engine INFO: Epoch: [25] [360/523] learning_rate: 0.275168 loss_vfl: 1.252422 loss_bbox: 0.619773 loss_dfl: 0.456455 loss: 2.328737 eta: 1 day, 11:39:52 batch_cost: 0.9900 data_cost: 0.0037 ips: 56.5649 images/s [03/17 14:58:53] ppdet.engine INFO: Epoch: [25] [380/523] learning_rate: 0.275153 loss_vfl: 1.350917 loss_bbox: 0.613360 loss_dfl: 0.463866 loss: 2.422980 eta: 1 day, 11:39:50 batch_cost: 0.9698 data_cost: 0.0041 ips: 57.7464 images/s [03/17 14:59:13] ppdet.engine INFO: Epoch: [25] [400/523] learning_rate: 0.275138 loss_vfl: 1.333070 loss_bbox: 0.666704 loss_dfl: 0.499731 loss: 2.534268 eta: 1 day, 11:39:27 batch_cost: 0.8738 data_cost: 0.0039 ips: 64.0904 images/s [03/17 14:59:37] ppdet.engine INFO: Epoch: [25] [420/523] learning_rate: 0.275124 loss_vfl: 1.350101 loss_bbox: 0.608972 loss_dfl: 0.463830 loss: 2.419085 eta: 1 day, 11:39:40 batch_cost: 1.0401 data_cost: 0.0064 ips: 53.8384 images/s [03/17 15:00:00] ppdet.engine INFO: Epoch: [25] [440/523] learning_rate: 0.275109 loss_vfl: 1.387568 loss_bbox: 0.654993 loss_dfl: 0.478987 loss: 2.501757 eta: 1 day, 11:39:38 batch_cost: 0.9697 data_cost: 0.0111 ips: 57.7510 images/s [03/17 15:00:22] ppdet.engine INFO: Epoch: [25] [460/523] learning_rate: 0.275094 loss_vfl: 1.337000 loss_bbox: 0.677845 loss_dfl: 0.485513 loss: 2.561893 eta: 1 day, 11:39:35 batch_cost: 0.9635 data_cost: 0.0098 ips: 58.1223 images/s [03/17 15:00:44] ppdet.engine INFO: Epoch: [25] [480/523] learning_rate: 0.275079 loss_vfl: 1.348915 loss_bbox: 0.657698 loss_dfl: 0.497324 loss: 2.492563 eta: 1 day, 11:39:09 batch_cost: 0.8591 data_cost: 0.0037 ips: 65.1872 images/s [03/17 15:01:08] ppdet.engine INFO: Epoch: [25] [500/523] learning_rate: 0.275065 loss_vfl: 1.292836 loss_bbox: 0.641684 loss_dfl: 0.468485 loss: 2.408495 eta: 1 day, 11:39:12 batch_cost: 0.9956 data_cost: 0.0021 ips: 56.2464 images/s [03/17 15:01:25] ppdet.engine INFO: Epoch: [25] [520/523] learning_rate: 0.275050 loss_vfl: 1.362351 loss_bbox: 0.657075 loss_dfl: 0.494248 loss: 2.523551 eta: 1 day, 11:38:20 batch_cost: 0.7327 data_cost: 0.0023 ips: 76.4305 images/s [03/17 15:01:37] ppdet.engine INFO: Epoch: [26] [ 0/523] learning_rate: 0.275048 loss_vfl: 1.387109 loss_bbox: 0.668726 loss_dfl: 0.513489 loss: 2.575794 eta: 1 day, 11:39:41 batch_cost: 1.1106 data_cost: 0.4067 ips: 50.4246 images/s [03/17 15:02:00] ppdet.engine INFO: Epoch: [26] [ 20/523] learning_rate: 0.275033 loss_vfl: 1.338446 loss_bbox: 0.662468 loss_dfl: 0.483317 loss: 2.499841 eta: 1 day, 11:39:48 batch_cost: 1.0127 data_cost: 0.0064 ips: 55.2977 images/s [03/17 15:02:18] ppdet.engine INFO: Epoch: [26] [ 40/523] learning_rate: 0.275018 loss_vfl: 1.332867 loss_bbox: 0.612983 loss_dfl: 0.483957 loss: 2.444323 eta: 1 day, 11:39:07 batch_cost: 0.7881 data_cost: 0.0041 ips: 71.0612 images/s [03/17 15:02:37] ppdet.engine INFO: Epoch: [26] [ 60/523] learning_rate: 0.275003 loss_vfl: 1.276442 loss_bbox: 0.603722 loss_dfl: 0.452923 loss: 2.359596 eta: 1 day, 11:38:35 batch_cost: 0.8292 data_cost: 0.0055 ips: 67.5356 images/s [03/17 15:02:57] ppdet.engine INFO: Epoch: [26] [ 80/523] learning_rate: 0.274988 loss_vfl: 1.308561 loss_bbox: 0.621683 loss_dfl: 0.473581 loss: 2.392772 eta: 1 day, 11:38:26 batch_cost: 0.9365 data_cost: 0.0059 ips: 59.7996 images/s [03/17 15:03:19] ppdet.engine INFO: Epoch: [26] [100/523] learning_rate: 0.274973 loss_vfl: 1.412341 loss_bbox: 0.671129 loss_dfl: 0.500294 loss: 2.569420 eta: 1 day, 11:38:14 batch_cost: 0.9257 data_cost: 0.1166 ips: 60.4969 images/s [03/17 15:03:39] ppdet.engine INFO: Epoch: [26] [120/523] learning_rate: 0.274958 loss_vfl: 1.286427 loss_bbox: 0.650117 loss_dfl: 0.474021 loss: 2.454539 eta: 1 day, 11:37:53 batch_cost: 0.8814 data_cost: 0.0041 ips: 63.5318 images/s [03/17 15:04:01] ppdet.engine INFO: Epoch: [26] [140/523] learning_rate: 0.274943 loss_vfl: 1.317377 loss_bbox: 0.669734 loss_dfl: 0.490869 loss: 2.459166 eta: 1 day, 11:37:38 batch_cost: 0.9103 data_cost: 0.0016 ips: 61.5190 images/s [03/17 15:04:23] ppdet.engine INFO: Epoch: [26] [160/523] learning_rate: 0.274929 loss_vfl: 1.314079 loss_bbox: 0.617392 loss_dfl: 0.457379 loss: 2.407514 eta: 1 day, 11:37:35 batch_cost: 0.9668 data_cost: 0.0132 ips: 57.9255 images/s [03/17 15:04:44] ppdet.engine INFO: Epoch: [26] [180/523] learning_rate: 0.274914 loss_vfl: 1.334746 loss_bbox: 0.634808 loss_dfl: 0.470150 loss: 2.442569 eta: 1 day, 11:37:15 batch_cost: 0.8873 data_cost: 0.0065 ips: 63.1104 images/s [03/17 15:05:03] ppdet.engine INFO: Epoch: [26] [200/523] learning_rate: 0.274899 loss_vfl: 1.391829 loss_bbox: 0.669913 loss_dfl: 0.522128 loss: 2.636222 eta: 1 day, 11:36:35 batch_cost: 0.7886 data_cost: 0.0114 ips: 71.0164 images/s [03/17 15:05:24] ppdet.engine INFO: Epoch: [26] [220/523] learning_rate: 0.274883 loss_vfl: 1.344356 loss_bbox: 0.639972 loss_dfl: 0.474185 loss: 2.428781 eta: 1 day, 11:36:24 batch_cost: 0.9289 data_cost: 0.0074 ips: 60.2867 images/s [03/17 15:05:46] ppdet.engine INFO: Epoch: [26] [240/523] learning_rate: 0.274868 loss_vfl: 1.373068 loss_bbox: 0.679142 loss_dfl: 0.505388 loss: 2.567514 eta: 1 day, 11:36:18 batch_cost: 0.9543 data_cost: 0.0073 ips: 58.6813 images/s [03/17 15:06:08] ppdet.engine INFO: Epoch: [26] [260/523] learning_rate: 0.274853 loss_vfl: 1.386733 loss_bbox: 0.670645 loss_dfl: 0.500019 loss: 2.571853 eta: 1 day, 11:36:14 batch_cost: 0.9604 data_cost: 0.0019 ips: 58.3079 images/s [03/17 15:06:30] ppdet.engine INFO: Epoch: [26] [280/523] learning_rate: 0.274838 loss_vfl: 1.287937 loss_bbox: 0.654992 loss_dfl: 0.476352 loss: 2.417940 eta: 1 day, 11:36:00 batch_cost: 0.9161 data_cost: 0.0086 ips: 61.1290 images/s [03/17 15:06:50] ppdet.engine INFO: Epoch: [26] [300/523] learning_rate: 0.274823 loss_vfl: 1.262112 loss_bbox: 0.610120 loss_dfl: 0.453615 loss: 2.326030 eta: 1 day, 11:35:31 batch_cost: 0.8436 data_cost: 0.0032 ips: 66.3859 images/s [03/17 15:07:09] ppdet.engine INFO: Epoch: [26] [320/523] learning_rate: 0.274808 loss_vfl: 1.394128 loss_bbox: 0.677193 loss_dfl: 0.500641 loss: 2.559898 eta: 1 day, 11:34:56 batch_cost: 0.8105 data_cost: 0.0031 ips: 69.0936 images/s [03/17 15:07:27] ppdet.engine INFO: Epoch: [26] [340/523] learning_rate: 0.274793 loss_vfl: 1.261613 loss_bbox: 0.606662 loss_dfl: 0.463233 loss: 2.316282 eta: 1 day, 11:34:10 batch_cost: 0.7596 data_cost: 0.0054 ips: 73.7236 images/s [03/17 15:07:47] ppdet.engine INFO: Epoch: [26] [360/523] learning_rate: 0.274778 loss_vfl: 1.293461 loss_bbox: 0.613703 loss_dfl: 0.455119 loss: 2.371611 eta: 1 day, 11:33:41 batch_cost: 0.8433 data_cost: 0.0094 ips: 66.4066 images/s [03/17 15:08:08] ppdet.engine INFO: Epoch: [26] [380/523] learning_rate: 0.274762 loss_vfl: 1.440119 loss_bbox: 0.692501 loss_dfl: 0.509617 loss: 2.621273 eta: 1 day, 11:33:29 batch_cost: 0.9240 data_cost: 0.1741 ips: 60.6063 images/s [03/17 15:08:31] ppdet.engine INFO: Epoch: [26] [400/523] learning_rate: 0.274747 loss_vfl: 1.319701 loss_bbox: 0.604531 loss_dfl: 0.459678 loss: 2.424763 eta: 1 day, 11:33:14 batch_cost: 0.9111 data_cost: 0.2403 ips: 61.4617 images/s [03/17 15:08:51] ppdet.engine INFO: Epoch: [26] [420/523] learning_rate: 0.274732 loss_vfl: 1.265367 loss_bbox: 0.637649 loss_dfl: 0.462402 loss: 2.332050 eta: 1 day, 11:32:50 batch_cost: 0.8662 data_cost: 0.1720 ips: 64.6502 images/s [03/17 15:09:14] ppdet.engine INFO: Epoch: [26] [440/523] learning_rate: 0.274717 loss_vfl: 1.393660 loss_bbox: 0.646676 loss_dfl: 0.490479 loss: 2.505409 eta: 1 day, 11:33:03 batch_cost: 1.0448 data_cost: 0.1459 ips: 53.5996 images/s [03/17 15:09:34] ppdet.engine INFO: Epoch: [26] [460/523] learning_rate: 0.274701 loss_vfl: 1.289883 loss_bbox: 0.613766 loss_dfl: 0.471083 loss: 2.383998 eta: 1 day, 11:32:27 batch_cost: 0.8078 data_cost: 0.0043 ips: 69.3253 images/s [03/17 15:09:54] ppdet.engine INFO: Epoch: [26] [480/523] learning_rate: 0.274686 loss_vfl: 1.262632 loss_bbox: 0.638406 loss_dfl: 0.459495 loss: 2.353754 eta: 1 day, 11:32:01 batch_cost: 0.8541 data_cost: 0.0030 ips: 65.5643 images/s [03/17 15:10:15] ppdet.engine INFO: Epoch: [26] [500/523] learning_rate: 0.274671 loss_vfl: 1.310881 loss_bbox: 0.657342 loss_dfl: 0.464057 loss: 2.421119 eta: 1 day, 11:31:33 batch_cost: 0.8489 data_cost: 0.0033 ips: 65.9707 images/s [03/17 15:10:33] ppdet.engine INFO: Epoch: [26] [520/523] learning_rate: 0.274655 loss_vfl: 1.403180 loss_bbox: 0.662833 loss_dfl: 0.511427 loss: 2.576164 eta: 1 day, 11:30:52 batch_cost: 0.7786 data_cost: 0.0025 ips: 71.9195 images/s [03/17 15:10:45] ppdet.engine INFO: Epoch: [27] [ 0/523] learning_rate: 0.274653 loss_vfl: 1.348230 loss_bbox: 0.632249 loss_dfl: 0.479406 loss: 2.453018 eta: 1 day, 11:32:07 batch_cost: 1.1796 data_cost: 0.4424 ips: 47.4728 images/s [03/17 15:11:08] ppdet.engine INFO: Epoch: [27] [ 20/523] learning_rate: 0.274638 loss_vfl: 1.410469 loss_bbox: 0.703913 loss_dfl: 0.514448 loss: 2.614224 eta: 1 day, 11:32:04 batch_cost: 0.9701 data_cost: 0.0052 ips: 57.7270 images/s [03/17 15:11:29] ppdet.engine INFO: Epoch: [27] [ 40/523] learning_rate: 0.274622 loss_vfl: 1.249427 loss_bbox: 0.604918 loss_dfl: 0.458038 loss: 2.329435 eta: 1 day, 11:31:41 batch_cost: 0.8696 data_cost: 0.0071 ips: 64.3946 images/s [03/17 15:11:48] ppdet.engine INFO: Epoch: [27] [ 60/523] learning_rate: 0.274607 loss_vfl: 1.361601 loss_bbox: 0.644972 loss_dfl: 0.478990 loss: 2.490730 eta: 1 day, 11:31:14 batch_cost: 0.8505 data_cost: 0.0069 ips: 65.8459 images/s [03/17 15:12:06] ppdet.engine INFO: Epoch: [27] [ 80/523] learning_rate: 0.274591 loss_vfl: 1.319313 loss_bbox: 0.640855 loss_dfl: 0.485724 loss: 2.454736 eta: 1 day, 11:30:21 batch_cost: 0.7208 data_cost: 0.0064 ips: 77.6896 images/s [03/17 15:12:25] ppdet.engine INFO: Epoch: [27] [100/523] learning_rate: 0.274576 loss_vfl: 1.323578 loss_bbox: 0.619781 loss_dfl: 0.472695 loss: 2.406856 eta: 1 day, 11:29:45 batch_cost: 0.8070 data_cost: 0.0136 ips: 69.3968 images/s [03/17 15:12:45] ppdet.engine INFO: Epoch: [27] [120/523] learning_rate: 0.274560 loss_vfl: 1.339511 loss_bbox: 0.633562 loss_dfl: 0.479339 loss: 2.467421 eta: 1 day, 11:29:15 batch_cost: 0.8376 data_cost: 0.0082 ips: 66.8578 images/s [03/17 15:13:05] ppdet.engine INFO: Epoch: [27] [140/523] learning_rate: 0.274545 loss_vfl: 1.345218 loss_bbox: 0.644976 loss_dfl: 0.481080 loss: 2.473275 eta: 1 day, 11:28:36 batch_cost: 0.7875 data_cost: 0.0021 ips: 71.1154 images/s [03/17 15:13:26] ppdet.engine INFO: Epoch: [27] [160/523] learning_rate: 0.274529 loss_vfl: 1.350004 loss_bbox: 0.630521 loss_dfl: 0.480567 loss: 2.452613 eta: 1 day, 11:28:18 batch_cost: 0.8965 data_cost: 0.0040 ips: 62.4647 images/s [03/17 15:13:45] ppdet.engine INFO: Epoch: [27] [180/523] learning_rate: 0.274514 loss_vfl: 1.330333 loss_bbox: 0.643453 loss_dfl: 0.488735 loss: 2.436369 eta: 1 day, 11:27:49 batch_cost: 0.8405 data_cost: 0.1116 ips: 66.6288 images/s [03/17 15:14:08] ppdet.engine INFO: Epoch: [27] [200/523] learning_rate: 0.274498 loss_vfl: 1.340374 loss_bbox: 0.639581 loss_dfl: 0.484323 loss: 2.468544 eta: 1 day, 11:27:42 batch_cost: 0.9484 data_cost: 0.1250 ips: 59.0438 images/s [03/17 15:14:29] ppdet.engine INFO: Epoch: [27] [220/523] learning_rate: 0.274483 loss_vfl: 1.335996 loss_bbox: 0.624512 loss_dfl: 0.470992 loss: 2.423640 eta: 1 day, 11:27:23 batch_cost: 0.8902 data_cost: 0.0019 ips: 62.9050 images/s [03/17 15:14:48] ppdet.engine INFO: Epoch: [27] [240/523] learning_rate: 0.274467 loss_vfl: 1.322138 loss_bbox: 0.647827 loss_dfl: 0.475487 loss: 2.473809 eta: 1 day, 11:26:53 batch_cost: 0.8355 data_cost: 0.0037 ips: 67.0241 images/s [03/17 15:15:09] ppdet.engine INFO: Epoch: [27] [260/523] learning_rate: 0.274451 loss_vfl: 1.321066 loss_bbox: 0.625805 loss_dfl: 0.478545 loss: 2.414981 eta: 1 day, 11:26:31 batch_cost: 0.8748 data_cost: 0.1315 ips: 64.0144 images/s [03/17 15:15:30] ppdet.engine INFO: Epoch: [27] [280/523] learning_rate: 0.274436 loss_vfl: 1.322622 loss_bbox: 0.661199 loss_dfl: 0.489995 loss: 2.495442 eta: 1 day, 11:26:11 batch_cost: 0.8816 data_cost: 0.0638 ips: 63.5242 images/s [03/17 15:15:52] ppdet.engine INFO: Epoch: [27] [300/523] learning_rate: 0.274420 loss_vfl: 1.331600 loss_bbox: 0.657947 loss_dfl: 0.486404 loss: 2.463374 eta: 1 day, 11:26:15 batch_cost: 1.0063 data_cost: 0.2181 ips: 55.6487 images/s [03/17 15:16:12] ppdet.engine INFO: Epoch: [27] [320/523] learning_rate: 0.274404 loss_vfl: 1.304604 loss_bbox: 0.654269 loss_dfl: 0.477404 loss: 2.410276 eta: 1 day, 11:25:45 batch_cost: 0.8342 data_cost: 0.0442 ips: 67.1295 images/s [03/17 15:16:33] ppdet.engine INFO: Epoch: [27] [340/523] learning_rate: 0.274388 loss_vfl: 1.280974 loss_bbox: 0.645157 loss_dfl: 0.469168 loss: 2.405763 eta: 1 day, 11:25:37 batch_cost: 0.9463 data_cost: 0.2103 ips: 59.1797 images/s [03/17 15:16:51] ppdet.engine INFO: Epoch: [27] [360/523] learning_rate: 0.274373 loss_vfl: 1.294308 loss_bbox: 0.628269 loss_dfl: 0.474839 loss: 2.377459 eta: 1 day, 11:24:53 batch_cost: 0.7643 data_cost: 0.0618 ips: 73.2710 images/s [03/17 15:17:09] ppdet.engine INFO: Epoch: [27] [380/523] learning_rate: 0.274357 loss_vfl: 1.339274 loss_bbox: 0.644655 loss_dfl: 0.483750 loss: 2.488491 eta: 1 day, 11:24:05 batch_cost: 0.7408 data_cost: 0.0055 ips: 75.5923 images/s [03/17 15:17:28] ppdet.engine INFO: Epoch: [27] [400/523] learning_rate: 0.274341 loss_vfl: 1.323460 loss_bbox: 0.614631 loss_dfl: 0.467683 loss: 2.412801 eta: 1 day, 11:23:36 batch_cost: 0.8389 data_cost: 0.0428 ips: 66.7553 images/s [03/17 15:17:50] ppdet.engine INFO: Epoch: [27] [420/523] learning_rate: 0.274325 loss_vfl: 1.263605 loss_bbox: 0.623137 loss_dfl: 0.453455 loss: 2.349239 eta: 1 day, 11:23:23 batch_cost: 0.9175 data_cost: 0.0160 ips: 61.0372 images/s [03/17 15:18:09] ppdet.engine INFO: Epoch: [27] [440/523] learning_rate: 0.274310 loss_vfl: 1.264625 loss_bbox: 0.600395 loss_dfl: 0.470534 loss: 2.335555 eta: 1 day, 11:22:46 batch_cost: 0.7997 data_cost: 0.0044 ips: 70.0226 images/s [03/17 15:18:32] ppdet.engine INFO: Epoch: [27] [460/523] learning_rate: 0.274294 loss_vfl: 1.401095 loss_bbox: 0.659341 loss_dfl: 0.500693 loss: 2.590910 eta: 1 day, 11:22:55 batch_cost: 1.0319 data_cost: 0.1804 ips: 54.2674 images/s [03/17 15:18:52] ppdet.engine INFO: Epoch: [27] [480/523] learning_rate: 0.274278 loss_vfl: 1.307680 loss_bbox: 0.638001 loss_dfl: 0.479470 loss: 2.417493 eta: 1 day, 11:22:32 batch_cost: 0.8684 data_cost: 0.0572 ips: 64.4875 images/s [03/17 15:19:13] ppdet.engine INFO: Epoch: [27] [500/523] learning_rate: 0.274262 loss_vfl: 1.356628 loss_bbox: 0.634954 loss_dfl: 0.464983 loss: 2.456564 eta: 1 day, 11:22:09 batch_cost: 0.8707 data_cost: 0.0482 ips: 64.3173 images/s [03/17 15:19:29] ppdet.engine INFO: Epoch: [27] [520/523] learning_rate: 0.274246 loss_vfl: 1.341552 loss_bbox: 0.653644 loss_dfl: 0.482844 loss: 2.459639 eta: 1 day, 11:21:09 batch_cost: 0.6778 data_cost: 0.0137 ips: 82.6192 images/s [03/17 15:19:41] ppdet.engine INFO: Epoch: [28] [ 0/523] learning_rate: 0.274244 loss_vfl: 1.353289 loss_bbox: 0.642775 loss_dfl: 0.478407 loss: 2.459639 eta: 1 day, 11:22:17 batch_cost: 1.0815 data_cost: 0.4226 ips: 51.7806 images/s [03/17 15:20:03] ppdet.engine INFO: Epoch: [28] [ 20/523] learning_rate: 0.274228 loss_vfl: 1.343973 loss_bbox: 0.641671 loss_dfl: 0.485128 loss: 2.445190 eta: 1 day, 11:22:09 batch_cost: 0.9446 data_cost: 0.0387 ips: 59.2870 images/s [03/17 15:20:25] ppdet.engine INFO: Epoch: [28] [ 40/523] learning_rate: 0.274212 loss_vfl: 1.382903 loss_bbox: 0.669542 loss_dfl: 0.498936 loss: 2.563176 eta: 1 day, 11:22:03 batch_cost: 0.9546 data_cost: 0.0022 ips: 58.6645 images/s [03/17 15:20:49] ppdet.engine INFO: Epoch: [28] [ 60/523] learning_rate: 0.274196 loss_vfl: 1.251646 loss_bbox: 0.617783 loss_dfl: 0.469666 loss: 2.322333 eta: 1 day, 11:22:24 batch_cost: 1.0990 data_cost: 0.0015 ips: 50.9576 images/s [03/17 15:21:11] ppdet.engine INFO: Epoch: [28] [ 80/523] learning_rate: 0.274180 loss_vfl: 1.334875 loss_bbox: 0.661546 loss_dfl: 0.488206 loss: 2.493283 eta: 1 day, 11:22:17 batch_cost: 0.9520 data_cost: 0.0053 ips: 58.8226 images/s [03/17 15:21:31] ppdet.engine INFO: Epoch: [28] [100/523] learning_rate: 0.274164 loss_vfl: 1.287926 loss_bbox: 0.636629 loss_dfl: 0.458088 loss: 2.376694 eta: 1 day, 11:22:06 batch_cost: 0.9337 data_cost: 0.0007 ips: 59.9772 images/s [03/17 15:21:49] ppdet.engine INFO: Epoch: [28] [120/523] learning_rate: 0.274147 loss_vfl: 1.413451 loss_bbox: 0.634018 loss_dfl: 0.485193 loss: 2.540027 eta: 1 day, 11:21:35 batch_cost: 0.8265 data_cost: 0.0142 ips: 67.7585 images/s [03/17 15:22:08] ppdet.engine INFO: Epoch: [28] [140/523] learning_rate: 0.274131 loss_vfl: 1.348424 loss_bbox: 0.666009 loss_dfl: 0.501493 loss: 2.540681 eta: 1 day, 11:20:55 batch_cost: 0.7772 data_cost: 0.1167 ips: 72.0500 images/s [03/17 15:22:30] ppdet.engine INFO: Epoch: [28] [160/523] learning_rate: 0.274115 loss_vfl: 1.421363 loss_bbox: 0.666745 loss_dfl: 0.497330 loss: 2.547966 eta: 1 day, 11:20:51 batch_cost: 0.9697 data_cost: 0.0040 ips: 57.7510 images/s [03/17 15:22:52] ppdet.engine INFO: Epoch: [28] [180/523] learning_rate: 0.274099 loss_vfl: 1.389241 loss_bbox: 0.655886 loss_dfl: 0.501376 loss: 2.565039 eta: 1 day, 11:20:53 batch_cost: 1.0024 data_cost: 0.0045 ips: 55.8667 images/s [03/17 15:23:14] ppdet.engine INFO: Epoch: [28] [200/523] learning_rate: 0.274083 loss_vfl: 1.334042 loss_bbox: 0.643970 loss_dfl: 0.486426 loss: 2.451321 eta: 1 day, 11:20:36 batch_cost: 0.9004 data_cost: 0.0423 ips: 62.1954 images/s [03/17 15:23:35] ppdet.engine INFO: Epoch: [28] [220/523] learning_rate: 0.274067 loss_vfl: 1.325830 loss_bbox: 0.686995 loss_dfl: 0.511083 loss: 2.526787 eta: 1 day, 11:20:22 batch_cost: 0.9132 data_cost: 0.1193 ips: 61.3214 images/s [03/17 15:23:58] ppdet.engine INFO: Epoch: [28] [240/523] learning_rate: 0.274051 loss_vfl: 1.304068 loss_bbox: 0.609144 loss_dfl: 0.459744 loss: 2.363392 eta: 1 day, 11:20:40 batch_cost: 1.0855 data_cost: 0.2983 ips: 51.5888 images/s [03/17 15:24:20] ppdet.engine INFO: Epoch: [28] [260/523] learning_rate: 0.274034 loss_vfl: 1.320396 loss_bbox: 0.645358 loss_dfl: 0.488978 loss: 2.464972 eta: 1 day, 11:20:35 batch_cost: 0.9636 data_cost: 0.2275 ips: 58.1171 images/s [03/17 15:24:41] ppdet.engine INFO: Epoch: [28] [280/523] learning_rate: 0.274018 loss_vfl: 1.316340 loss_bbox: 0.635465 loss_dfl: 0.468464 loss: 2.422125 eta: 1 day, 11:20:17 batch_cost: 0.8953 data_cost: 0.1995 ips: 62.5506 images/s [03/17 15:25:01] ppdet.engine INFO: Epoch: [28] [300/523] learning_rate: 0.274002 loss_vfl: 1.302621 loss_bbox: 0.634222 loss_dfl: 0.469920 loss: 2.428812 eta: 1 day, 11:20:03 batch_cost: 0.9169 data_cost: 0.1459 ips: 61.0723 images/s [03/17 15:25:25] ppdet.engine INFO: Epoch: [28] [320/523] learning_rate: 0.273986 loss_vfl: 1.327011 loss_bbox: 0.648947 loss_dfl: 0.475118 loss: 2.414348 eta: 1 day, 11:20:19 batch_cost: 1.0736 data_cost: 0.1904 ips: 52.1589 images/s [03/17 15:25:46] ppdet.engine INFO: Epoch: [28] [340/523] learning_rate: 0.273969 loss_vfl: 1.355734 loss_bbox: 0.638195 loss_dfl: 0.479857 loss: 2.475212 eta: 1 day, 11:19:53 batch_cost: 0.8565 data_cost: 0.0949 ips: 65.3846 images/s [03/17 15:26:08] ppdet.engine INFO: Epoch: [28] [360/523] learning_rate: 0.273953 loss_vfl: 1.348268 loss_bbox: 0.644950 loss_dfl: 0.480902 loss: 2.479151 eta: 1 day, 11:19:51 batch_cost: 0.9794 data_cost: 0.0040 ips: 57.1783 images/s [03/17 15:26:28] ppdet.engine INFO: Epoch: [28] [380/523] learning_rate: 0.273937 loss_vfl: 1.406011 loss_bbox: 0.701268 loss_dfl: 0.516283 loss: 2.584301 eta: 1 day, 11:19:32 batch_cost: 0.8874 data_cost: 0.0023 ips: 63.1032 images/s [03/17 15:26:45] ppdet.engine INFO: Epoch: [28] [400/523] learning_rate: 0.273920 loss_vfl: 1.365129 loss_bbox: 0.654038 loss_dfl: 0.491701 loss: 2.492746 eta: 1 day, 11:18:36 batch_cost: 0.6957 data_cost: 0.0024 ips: 80.4899 images/s [03/17 15:27:03] ppdet.engine INFO: Epoch: [28] [420/523] learning_rate: 0.273904 loss_vfl: 1.340628 loss_bbox: 0.667373 loss_dfl: 0.492580 loss: 2.509269 eta: 1 day, 11:17:51 batch_cost: 0.7556 data_cost: 0.0027 ips: 74.1112 images/s [03/17 15:27:25] ppdet.engine INFO: Epoch: [28] [440/523] learning_rate: 0.273888 loss_vfl: 1.266249 loss_bbox: 0.575732 loss_dfl: 0.455725 loss: 2.350868 eta: 1 day, 11:17:41 batch_cost: 0.9379 data_cost: 0.0012 ips: 59.7076 images/s [03/17 15:27:46] ppdet.engine INFO: Epoch: [28] [460/523] learning_rate: 0.273871 loss_vfl: 1.345145 loss_bbox: 0.629840 loss_dfl: 0.477986 loss: 2.430234 eta: 1 day, 11:17:36 batch_cost: 0.9608 data_cost: 0.1519 ips: 58.2865 images/s [03/17 15:28:08] ppdet.engine INFO: Epoch: [28] [480/523] learning_rate: 0.273855 loss_vfl: 1.392061 loss_bbox: 0.682320 loss_dfl: 0.509160 loss: 2.546889 eta: 1 day, 11:17:30 batch_cost: 0.9625 data_cost: 0.1286 ips: 58.1818 images/s [03/17 15:28:29] ppdet.engine INFO: Epoch: [28] [500/523] learning_rate: 0.273838 loss_vfl: 1.253422 loss_bbox: 0.628361 loss_dfl: 0.458258 loss: 2.354521 eta: 1 day, 11:17:04 batch_cost: 0.8511 data_cost: 0.0913 ips: 65.7950 images/s [03/17 15:28:48] ppdet.engine INFO: Epoch: [28] [520/523] learning_rate: 0.273822 loss_vfl: 1.294286 loss_bbox: 0.623803 loss_dfl: 0.465859 loss: 2.401061 eta: 1 day, 11:16:34 batch_cost: 0.8322 data_cost: 0.0360 ips: 67.2954 images/s [03/17 15:29:02] ppdet.engine INFO: Epoch: [29] [ 0/523] learning_rate: 0.273819 loss_vfl: 1.306396 loss_bbox: 0.623803 loss_dfl: 0.465859 loss: 2.408162 eta: 1 day, 11:17:58 batch_cost: 1.3125 data_cost: 0.5240 ips: 42.6656 images/s [03/17 15:29:24] ppdet.engine INFO: Epoch: [29] [ 20/523] learning_rate: 0.273803 loss_vfl: 1.351970 loss_bbox: 0.660939 loss_dfl: 0.479952 loss: 2.481235 eta: 1 day, 11:17:57 batch_cost: 0.9894 data_cost: 0.0069 ips: 56.5975 images/s [03/17 15:29:47] ppdet.engine INFO: Epoch: [29] [ 40/523] learning_rate: 0.273786 loss_vfl: 1.384505 loss_bbox: 0.656009 loss_dfl: 0.498458 loss: 2.512591 eta: 1 day, 11:17:54 batch_cost: 0.9737 data_cost: 0.0010 ips: 57.5103 images/s [03/17 15:30:09] ppdet.engine INFO: Epoch: [29] [ 60/523] learning_rate: 0.273770 loss_vfl: 1.326383 loss_bbox: 0.653426 loss_dfl: 0.471621 loss: 2.453149 eta: 1 day, 11:17:28 batch_cost: 0.8534 data_cost: 0.0026 ips: 65.6214 images/s [03/17 15:30:29] ppdet.engine INFO: Epoch: [29] [ 80/523] learning_rate: 0.273753 loss_vfl: 1.389776 loss_bbox: 0.664360 loss_dfl: 0.492958 loss: 2.525000 eta: 1 day, 11:16:56 batch_cost: 0.8201 data_cost: 0.0625 ips: 68.2877 images/s [03/17 15:30:53] ppdet.engine INFO: Epoch: [29] [100/523] learning_rate: 0.273736 loss_vfl: 1.421613 loss_bbox: 0.700071 loss_dfl: 0.528955 loss: 2.708261 eta: 1 day, 11:17:08 batch_cost: 1.0605 data_cost: 0.0700 ips: 52.8062 images/s [03/17 15:31:11] ppdet.engine INFO: Epoch: [29] [120/523] learning_rate: 0.273720 loss_vfl: 1.342276 loss_bbox: 0.639590 loss_dfl: 0.476744 loss: 2.469274 eta: 1 day, 11:16:25 batch_cost: 0.7623 data_cost: 0.0047 ips: 73.4648 images/s [03/17 15:31:30] ppdet.engine INFO: Epoch: [29] [140/523] learning_rate: 0.273703 loss_vfl: 1.296955 loss_bbox: 0.629085 loss_dfl: 0.475086 loss: 2.380147 eta: 1 day, 11:15:40 batch_cost: 0.7518 data_cost: 0.0068 ips: 74.4882 images/s [03/17 15:31:50] ppdet.engine INFO: Epoch: [29] [160/523] learning_rate: 0.273687 loss_vfl: 1.268771 loss_bbox: 0.607566 loss_dfl: 0.465436 loss: 2.331455 eta: 1 day, 11:15:10 batch_cost: 0.8269 data_cost: 0.0035 ips: 67.7213 images/s [03/17 15:32:13] ppdet.engine INFO: Epoch: [29] [180/523] learning_rate: 0.273670 loss_vfl: 1.341966 loss_bbox: 0.663985 loss_dfl: 0.505216 loss: 2.554886 eta: 1 day, 11:15:11 batch_cost: 1.0020 data_cost: 0.0030 ips: 55.8885 images/s [03/17 15:32:34] ppdet.engine INFO: Epoch: [29] [200/523] learning_rate: 0.273653 loss_vfl: 1.321132 loss_bbox: 0.631007 loss_dfl: 0.481943 loss: 2.421684 eta: 1 day, 11:14:37 batch_cost: 0.8092 data_cost: 0.0043 ips: 69.2023 images/s [03/17 15:32:57] ppdet.engine INFO: Epoch: [29] [220/523] learning_rate: 0.273636 loss_vfl: 1.309605 loss_bbox: 0.614349 loss_dfl: 0.455235 loss: 2.325937 eta: 1 day, 11:14:15 batch_cost: 0.8737 data_cost: 0.0147 ips: 64.0974 images/s [03/17 15:33:19] ppdet.engine INFO: Epoch: [29] [240/523] learning_rate: 0.273620 loss_vfl: 1.330969 loss_bbox: 0.638992 loss_dfl: 0.469956 loss: 2.423073 eta: 1 day, 11:13:56 batch_cost: 0.8891 data_cost: 0.0067 ips: 62.9870 images/s [03/17 15:33:41] ppdet.engine INFO: Epoch: [29] [260/523] learning_rate: 0.273603 loss_vfl: 1.356803 loss_bbox: 0.660740 loss_dfl: 0.491100 loss: 2.503582 eta: 1 day, 11:13:39 batch_cost: 0.9000 data_cost: 0.0026 ips: 62.2218 images/s [03/17 15:34:04] ppdet.engine INFO: Epoch: [29] [280/523] learning_rate: 0.273586 loss_vfl: 1.336183 loss_bbox: 0.647484 loss_dfl: 0.479548 loss: 2.483954 eta: 1 day, 11:13:44 batch_cost: 1.0220 data_cost: 0.0046 ips: 54.7951 images/s [03/17 15:34:27] ppdet.engine INFO: Epoch: [29] [300/523] learning_rate: 0.273569 loss_vfl: 1.399840 loss_bbox: 0.689613 loss_dfl: 0.510192 loss: 2.621223 eta: 1 day, 11:13:33 batch_cost: 0.9373 data_cost: 0.0059 ips: 59.7488 images/s [03/17 15:34:48] ppdet.engine INFO: Epoch: [29] [320/523] learning_rate: 0.273552 loss_vfl: 1.258924 loss_bbox: 0.618491 loss_dfl: 0.450189 loss: 2.342658 eta: 1 day, 11:13:13 batch_cost: 0.8851 data_cost: 0.0080 ips: 63.2671 images/s [03/17 15:35:09] ppdet.engine INFO: Epoch: [29] [340/523] learning_rate: 0.273536 loss_vfl: 1.331391 loss_bbox: 0.647959 loss_dfl: 0.488997 loss: 2.491047 eta: 1 day, 11:12:59 batch_cost: 0.9165 data_cost: 0.0054 ips: 61.1047 images/s [03/17 15:35:32] ppdet.engine INFO: Epoch: [29] [360/523] learning_rate: 0.273519 loss_vfl: 1.379786 loss_bbox: 0.673644 loss_dfl: 0.504915 loss: 2.610746 eta: 1 day, 11:12:53 batch_cost: 0.9638 data_cost: 0.0112 ips: 58.1062 images/s [03/17 15:35:50] ppdet.engine INFO: Epoch: [29] [380/523] learning_rate: 0.273502 loss_vfl: 1.314982 loss_bbox: 0.627715 loss_dfl: 0.472455 loss: 2.427628 eta: 1 day, 11:12:15 batch_cost: 0.7878 data_cost: 0.0020 ips: 71.0821 images/s [03/17 15:36:08] ppdet.engine INFO: Epoch: [29] [400/523] learning_rate: 0.273485 loss_vfl: 1.338271 loss_bbox: 0.631412 loss_dfl: 0.488501 loss: 2.417732 eta: 1 day, 11:11:28 batch_cost: 0.7339 data_cost: 0.0010 ips: 76.3037 images/s [03/17 15:36:27] ppdet.engine INFO: Epoch: [29] [420/523] learning_rate: 0.273468 loss_vfl: 1.357908 loss_bbox: 0.628449 loss_dfl: 0.483928 loss: 2.487032 eta: 1 day, 11:10:44 batch_cost: 0.7554 data_cost: 0.0047 ips: 74.1367 images/s [03/17 15:36:49] ppdet.engine INFO: Epoch: [29] [440/523] learning_rate: 0.273451 loss_vfl: 1.318400 loss_bbox: 0.629719 loss_dfl: 0.471849 loss: 2.432721 eta: 1 day, 11:10:24 batch_cost: 0.8847 data_cost: 0.0064 ips: 63.2951 images/s [03/17 15:37:10] ppdet.engine INFO: Epoch: [29] [460/523] learning_rate: 0.273434 loss_vfl: 1.377701 loss_bbox: 0.681804 loss_dfl: 0.508821 loss: 2.586358 eta: 1 day, 11:09:57 batch_cost: 0.8414 data_cost: 0.0034 ips: 66.5545 images/s [03/17 15:37:32] ppdet.engine INFO: Epoch: [29] [480/523] learning_rate: 0.273417 loss_vfl: 1.405036 loss_bbox: 0.661610 loss_dfl: 0.498451 loss: 2.579616 eta: 1 day, 11:09:46 batch_cost: 0.9351 data_cost: 0.0148 ips: 59.8869 images/s [03/17 15:37:54] ppdet.engine INFO: Epoch: [29] [500/523] learning_rate: 0.273400 loss_vfl: 1.338285 loss_bbox: 0.626346 loss_dfl: 0.468374 loss: 2.459450 eta: 1 day, 11:09:21 batch_cost: 0.8613 data_cost: 0.0036 ips: 65.0178 images/s [03/17 15:38:13] ppdet.engine INFO: Epoch: [29] [520/523] learning_rate: 0.273383 loss_vfl: 1.364482 loss_bbox: 0.668803 loss_dfl: 0.490532 loss: 2.536054 eta: 1 day, 11:08:50 batch_cost: 0.8232 data_cost: 0.1101 ips: 68.0268 images/s [03/17 15:38:15] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 15:38:15] ppdet.engine INFO: Eval iter: 0 [03/17 15:38:41] ppdet.engine INFO: Eval iter: 100 [03/17 15:38:53] ppdet.engine INFO: Eval iter: 200 [03/17 15:39:06] ppdet.engine INFO: Eval iter: 300 [03/17 15:39:18] ppdet.engine INFO: Eval iter: 400 [03/17 15:39:31] ppdet.engine INFO: Eval iter: 500 [03/17 15:39:43] ppdet.engine INFO: Eval iter: 600 [03/17 15:39:58] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.97s) creating index... index created! [03/17 15:39:59] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.45s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=84.93s). Accumulating evaluation results... DONE (t=16.84s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.179 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.286 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.186 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 ] = 0.169 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.298 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 ] = 0.341 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 ] = 0.116 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.394 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.580 [03/17 15:41:47] ppdet.engine INFO: Total sample number: 4952, averge FPS: 54.240050764663216 [03/17 15:41:47] ppdet.engine INFO: Best test bbox ap is 0.179. [03/17 15:41:47] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 15:41:48] ppdet.engine INFO: Epoch: [30] [ 0/523] learning_rate: 0.273380 loss_vfl: 1.328183 loss_bbox: 0.612678 loss_dfl: 0.459217 loss: 2.373034 eta: 1 day, 11:08:32 batch_cost: 0.7412 data_cost: 0.1100 ips: 75.5493 images/s [03/17 15:42:08] ppdet.engine INFO: Epoch: [30] [ 20/523] learning_rate: 0.273363 loss_vfl: 1.323762 loss_bbox: 0.610224 loss_dfl: 0.457615 loss: 2.387009 eta: 1 day, 11:08:13 batch_cost: 0.8913 data_cost: 0.0020 ips: 62.8318 images/s [03/17 15:42:30] ppdet.engine INFO: Epoch: [30] [ 40/523] learning_rate: 0.273346 loss_vfl: 1.325592 loss_bbox: 0.655213 loss_dfl: 0.472629 loss: 2.438267 eta: 1 day, 11:08:18 batch_cost: 1.0268 data_cost: 0.0675 ips: 54.5387 images/s [03/17 15:42:51] ppdet.engine INFO: Epoch: [30] [ 60/523] learning_rate: 0.273329 loss_vfl: 1.219734 loss_bbox: 0.606139 loss_dfl: 0.445966 loss: 2.264280 eta: 1 day, 11:08:13 batch_cost: 0.9671 data_cost: 0.0024 ips: 57.9062 images/s [03/17 15:43:14] ppdet.engine INFO: Epoch: [30] [ 80/523] learning_rate: 0.273312 loss_vfl: 1.355501 loss_bbox: 0.657206 loss_dfl: 0.492302 loss: 2.503914 eta: 1 day, 11:08:22 batch_cost: 1.0435 data_cost: 0.0016 ips: 53.6658 images/s [03/17 15:43:39] ppdet.engine INFO: Epoch: [30] [100/523] learning_rate: 0.273295 loss_vfl: 1.269510 loss_bbox: 0.611467 loss_dfl: 0.461840 loss: 2.337269 eta: 1 day, 11:08:39 batch_cost: 1.0928 data_cost: 0.0023 ips: 51.2454 images/s [03/17 15:44:01] ppdet.engine INFO: Epoch: [30] [120/523] learning_rate: 0.273277 loss_vfl: 1.365690 loss_bbox: 0.643013 loss_dfl: 0.485960 loss: 2.525701 eta: 1 day, 11:08:35 batch_cost: 0.9775 data_cost: 0.0028 ips: 57.2869 images/s [03/17 15:44:22] ppdet.engine INFO: Epoch: [30] [140/523] learning_rate: 0.273260 loss_vfl: 1.347011 loss_bbox: 0.636744 loss_dfl: 0.480801 loss: 2.455504 eta: 1 day, 11:08:29 batch_cost: 0.9622 data_cost: 0.0658 ips: 58.2026 images/s [03/17 15:44:41] ppdet.engine INFO: Epoch: [30] [160/523] learning_rate: 0.273243 loss_vfl: 1.355143 loss_bbox: 0.637100 loss_dfl: 0.494539 loss: 2.469842 eta: 1 day, 11:07:52 batch_cost: 0.7878 data_cost: 0.1360 ips: 71.0827 images/s [03/17 15:45:01] ppdet.engine INFO: Epoch: [30] [180/523] learning_rate: 0.273226 loss_vfl: 1.287604 loss_bbox: 0.635532 loss_dfl: 0.464712 loss: 2.386602 eta: 1 day, 11:07:35 batch_cost: 0.9061 data_cost: 0.0800 ips: 61.8019 images/s [03/17 15:45:23] ppdet.engine INFO: Epoch: [30] [200/523] learning_rate: 0.273209 loss_vfl: 1.339980 loss_bbox: 0.658481 loss_dfl: 0.486998 loss: 2.509807 eta: 1 day, 11:07:30 batch_cost: 0.9679 data_cost: 0.3381 ips: 57.8548 images/s [03/17 15:45:45] ppdet.engine INFO: Epoch: [30] [220/523] learning_rate: 0.273191 loss_vfl: 1.316037 loss_bbox: 0.609779 loss_dfl: 0.461684 loss: 2.368113 eta: 1 day, 11:07:29 batch_cost: 0.9890 data_cost: 0.1604 ips: 56.6235 images/s [03/17 15:46:08] ppdet.engine INFO: Epoch: [30] [240/523] learning_rate: 0.273174 loss_vfl: 1.288790 loss_bbox: 0.634080 loss_dfl: 0.477732 loss: 2.427328 eta: 1 day, 11:07:37 batch_cost: 1.0431 data_cost: 0.3509 ips: 53.6869 images/s [03/17 15:46:28] ppdet.engine INFO: Epoch: [30] [260/523] learning_rate: 0.273157 loss_vfl: 1.409966 loss_bbox: 0.674466 loss_dfl: 0.507307 loss: 2.590281 eta: 1 day, 11:07:15 batch_cost: 0.8789 data_cost: 0.1350 ips: 63.7166 images/s [03/17 15:46:51] ppdet.engine INFO: Epoch: [30] [280/523] learning_rate: 0.273139 loss_vfl: 1.345285 loss_bbox: 0.635277 loss_dfl: 0.468632 loss: 2.475315 eta: 1 day, 11:07:19 batch_cost: 1.0167 data_cost: 0.2861 ips: 55.0796 images/s [03/17 15:47:15] ppdet.engine INFO: Epoch: [30] [300/523] learning_rate: 0.273122 loss_vfl: 1.324249 loss_bbox: 0.630697 loss_dfl: 0.477933 loss: 2.449022 eta: 1 day, 11:07:30 batch_cost: 1.0633 data_cost: 0.1581 ips: 52.6644 images/s [03/17 15:47:37] ppdet.engine INFO: Epoch: [30] [320/523] learning_rate: 0.273104 loss_vfl: 1.295460 loss_bbox: 0.602196 loss_dfl: 0.455397 loss: 2.358773 eta: 1 day, 11:07:32 batch_cost: 1.0107 data_cost: 0.1615 ips: 55.4072 images/s [03/17 15:47:58] ppdet.engine INFO: Epoch: [30] [340/523] learning_rate: 0.273087 loss_vfl: 1.309338 loss_bbox: 0.628638 loss_dfl: 0.468227 loss: 2.389769 eta: 1 day, 11:07:15 batch_cost: 0.9027 data_cost: 0.0010 ips: 62.0340 images/s [03/17 15:48:21] ppdet.engine INFO: Epoch: [30] [360/523] learning_rate: 0.273070 loss_vfl: 1.316669 loss_bbox: 0.638890 loss_dfl: 0.472371 loss: 2.384781 eta: 1 day, 11:07:19 batch_cost: 1.0247 data_cost: 0.2400 ips: 54.6500 images/s [03/17 15:48:43] ppdet.engine INFO: Epoch: [30] [380/523] learning_rate: 0.273052 loss_vfl: 1.262455 loss_bbox: 0.619387 loss_dfl: 0.471382 loss: 2.360120 eta: 1 day, 11:07:26 batch_cost: 1.0400 data_cost: 0.0014 ips: 53.8482 images/s [03/17 15:49:05] ppdet.engine INFO: Epoch: [30] [400/523] learning_rate: 0.273035 loss_vfl: 1.449095 loss_bbox: 0.676643 loss_dfl: 0.501705 loss: 2.622477 eta: 1 day, 11:07:15 batch_cost: 0.9383 data_cost: 0.1635 ips: 59.6852 images/s [03/17 15:49:22] ppdet.engine INFO: Epoch: [30] [420/523] learning_rate: 0.273017 loss_vfl: 1.374084 loss_bbox: 0.652410 loss_dfl: 0.491137 loss: 2.529365 eta: 1 day, 11:06:31 batch_cost: 0.7470 data_cost: 0.0739 ips: 74.9627 images/s [03/17 15:49:41] ppdet.engine INFO: Epoch: [30] [440/523] learning_rate: 0.273000 loss_vfl: 1.339198 loss_bbox: 0.657896 loss_dfl: 0.493108 loss: 2.520126 eta: 1 day, 11:06:08 batch_cost: 0.8688 data_cost: 0.0932 ips: 64.4536 images/s [03/17 15:50:04] ppdet.engine INFO: Epoch: [30] [460/523] learning_rate: 0.272982 loss_vfl: 1.302545 loss_bbox: 0.638185 loss_dfl: 0.477378 loss: 2.411005 eta: 1 day, 11:06:05 batch_cost: 0.9832 data_cost: 0.0036 ips: 56.9594 images/s [03/17 15:50:25] ppdet.engine INFO: Epoch: [30] [480/523] learning_rate: 0.272964 loss_vfl: 1.386995 loss_bbox: 0.648526 loss_dfl: 0.486003 loss: 2.585105 eta: 1 day, 11:06:04 batch_cost: 0.9962 data_cost: 0.0018 ips: 56.2156 images/s [03/17 15:50:47] ppdet.engine INFO: Epoch: [30] [500/523] learning_rate: 0.272947 loss_vfl: 1.318821 loss_bbox: 0.638341 loss_dfl: 0.480179 loss: 2.432154 eta: 1 day, 11:06:00 batch_cost: 0.9776 data_cost: 0.0031 ips: 57.2812 images/s [03/17 15:51:05] ppdet.engine INFO: Epoch: [30] [520/523] learning_rate: 0.272929 loss_vfl: 1.401639 loss_bbox: 0.677745 loss_dfl: 0.503139 loss: 2.655882 eta: 1 day, 11:05:23 batch_cost: 0.7908 data_cost: 0.0711 ips: 70.8151 images/s [03/17 15:51:16] ppdet.engine INFO: Epoch: [31] [ 0/523] learning_rate: 0.272927 loss_vfl: 1.383672 loss_bbox: 0.660450 loss_dfl: 0.501191 loss: 2.567792 eta: 1 day, 11:06:19 batch_cost: 1.1627 data_cost: 0.3022 ips: 48.1653 images/s [03/17 15:51:38] ppdet.engine INFO: Epoch: [31] [ 20/523] learning_rate: 0.272909 loss_vfl: 1.281323 loss_bbox: 0.625199 loss_dfl: 0.465930 loss: 2.372036 eta: 1 day, 11:06:10 batch_cost: 0.9510 data_cost: 0.0014 ips: 58.8827 images/s [03/17 15:51:59] ppdet.engine INFO: Epoch: [31] [ 40/523] learning_rate: 0.272891 loss_vfl: 1.341604 loss_bbox: 0.626955 loss_dfl: 0.475387 loss: 2.447918 eta: 1 day, 11:05:36 batch_cost: 0.8040 data_cost: 0.0026 ips: 69.6544 images/s [03/17 15:52:17] ppdet.engine INFO: Epoch: [31] [ 60/523] learning_rate: 0.272874 loss_vfl: 1.388736 loss_bbox: 0.663949 loss_dfl: 0.503444 loss: 2.552691 eta: 1 day, 11:04:49 batch_cost: 0.7314 data_cost: 0.0025 ips: 76.5642 images/s [03/17 15:52:40] ppdet.engine INFO: Epoch: [31] [ 80/523] learning_rate: 0.272856 loss_vfl: 1.294519 loss_bbox: 0.607972 loss_dfl: 0.464780 loss: 2.376988 eta: 1 day, 11:04:42 batch_cost: 0.9611 data_cost: 0.0134 ips: 58.2687 images/s [03/17 15:53:00] ppdet.engine INFO: Epoch: [31] [100/523] learning_rate: 0.272838 loss_vfl: 1.348663 loss_bbox: 0.630051 loss_dfl: 0.475455 loss: 2.451596 eta: 1 day, 11:04:07 batch_cost: 0.7974 data_cost: 0.0040 ips: 70.2283 images/s [03/17 15:53:22] ppdet.engine INFO: Epoch: [31] [120/523] learning_rate: 0.272820 loss_vfl: 1.356757 loss_bbox: 0.695449 loss_dfl: 0.519212 loss: 2.578566 eta: 1 day, 11:03:53 batch_cost: 0.9226 data_cost: 0.0171 ips: 60.7007 images/s [03/17 15:53:42] ppdet.engine INFO: Epoch: [31] [140/523] learning_rate: 0.272803 loss_vfl: 1.289140 loss_bbox: 0.607079 loss_dfl: 0.470101 loss: 2.370917 eta: 1 day, 11:03:23 batch_cost: 0.8277 data_cost: 0.0027 ips: 67.6549 images/s [03/17 15:54:00] ppdet.engine INFO: Epoch: [31] [160/523] learning_rate: 0.272785 loss_vfl: 1.359742 loss_bbox: 0.640165 loss_dfl: 0.484254 loss: 2.503939 eta: 1 day, 11:02:50 batch_cost: 0.8108 data_cost: 0.0297 ips: 69.0657 images/s [03/17 15:54:19] ppdet.engine INFO: Epoch: [31] [180/523] learning_rate: 0.272767 loss_vfl: 1.317857 loss_bbox: 0.645995 loss_dfl: 0.480251 loss: 2.437882 eta: 1 day, 11:02:17 batch_cost: 0.8060 data_cost: 0.0979 ips: 69.4774 images/s [03/17 15:54:39] ppdet.engine INFO: Epoch: [31] [200/523] learning_rate: 0.272749 loss_vfl: 1.361111 loss_bbox: 0.647527 loss_dfl: 0.483726 loss: 2.482661 eta: 1 day, 11:01:47 batch_cost: 0.8307 data_cost: 0.0067 ips: 67.4162 images/s [03/17 15:54:59] ppdet.engine INFO: Epoch: [31] [220/523] learning_rate: 0.272731 loss_vfl: 1.327108 loss_bbox: 0.617466 loss_dfl: 0.463193 loss: 2.386799 eta: 1 day, 11:01:26 batch_cost: 0.8779 data_cost: 0.0048 ips: 63.7888 images/s [03/17 15:55:21] ppdet.engine INFO: Epoch: [31] [240/523] learning_rate: 0.272714 loss_vfl: 1.360122 loss_bbox: 0.685366 loss_dfl: 0.501090 loss: 2.525413 eta: 1 day, 11:01:16 batch_cost: 0.9474 data_cost: 0.0059 ips: 59.1080 images/s [03/17 15:55:39] ppdet.engine INFO: Epoch: [31] [260/523] learning_rate: 0.272696 loss_vfl: 1.372864 loss_bbox: 0.659055 loss_dfl: 0.496245 loss: 2.532367 eta: 1 day, 11:00:33 batch_cost: 0.7497 data_cost: 0.0049 ips: 74.7006 images/s [03/17 15:55:59] ppdet.engine INFO: Epoch: [31] [280/523] learning_rate: 0.272678 loss_vfl: 1.307001 loss_bbox: 0.619229 loss_dfl: 0.466480 loss: 2.395567 eta: 1 day, 11:00:06 batch_cost: 0.8418 data_cost: 0.0349 ips: 66.5227 images/s [03/17 15:56:22] ppdet.engine INFO: Epoch: [31] [300/523] learning_rate: 0.272660 loss_vfl: 1.361810 loss_bbox: 0.666202 loss_dfl: 0.494693 loss: 2.484758 eta: 1 day, 11:00:12 batch_cost: 1.0393 data_cost: 0.2910 ips: 53.8849 images/s [03/17 15:56:42] ppdet.engine INFO: Epoch: [31] [320/523] learning_rate: 0.272642 loss_vfl: 1.341189 loss_bbox: 0.665653 loss_dfl: 0.505137 loss: 2.526010 eta: 1 day, 10:59:43 batch_cost: 0.8341 data_cost: 0.0295 ips: 67.1396 images/s [03/17 15:57:02] ppdet.engine INFO: Epoch: [31] [340/523] learning_rate: 0.272624 loss_vfl: 1.358615 loss_bbox: 0.628022 loss_dfl: 0.491262 loss: 2.496108 eta: 1 day, 10:59:16 batch_cost: 0.8448 data_cost: 0.0015 ips: 66.2876 images/s [03/17 15:57:23] ppdet.engine INFO: Epoch: [31] [360/523] learning_rate: 0.272606 loss_vfl: 1.326856 loss_bbox: 0.608293 loss_dfl: 0.479158 loss: 2.417748 eta: 1 day, 10:58:55 batch_cost: 0.8807 data_cost: 0.0870 ips: 63.5849 images/s [03/17 15:57:44] ppdet.engine INFO: Epoch: [31] [380/523] learning_rate: 0.272588 loss_vfl: 1.273785 loss_bbox: 0.589455 loss_dfl: 0.456091 loss: 2.315310 eta: 1 day, 10:58:30 batch_cost: 0.8512 data_cost: 0.0863 ips: 65.7859 images/s [03/17 15:58:04] ppdet.engine INFO: Epoch: [31] [400/523] learning_rate: 0.272570 loss_vfl: 1.269331 loss_bbox: 0.608083 loss_dfl: 0.450337 loss: 2.348468 eta: 1 day, 10:58:11 batch_cost: 0.8938 data_cost: 0.1527 ips: 62.6564 images/s [03/17 15:58:26] ppdet.engine INFO: Epoch: [31] [420/523] learning_rate: 0.272552 loss_vfl: 1.369859 loss_bbox: 0.656833 loss_dfl: 0.486403 loss: 2.525178 eta: 1 day, 10:58:05 batch_cost: 0.9676 data_cost: 0.0706 ips: 57.8733 images/s [03/17 15:58:45] ppdet.engine INFO: Epoch: [31] [440/523] learning_rate: 0.272534 loss_vfl: 1.378262 loss_bbox: 0.666549 loss_dfl: 0.502686 loss: 2.508020 eta: 1 day, 10:57:26 batch_cost: 0.7716 data_cost: 0.0040 ips: 72.5743 images/s [03/17 15:59:04] ppdet.engine INFO: Epoch: [31] [460/523] learning_rate: 0.272516 loss_vfl: 1.315620 loss_bbox: 0.660367 loss_dfl: 0.487674 loss: 2.480738 eta: 1 day, 10:56:51 batch_cost: 0.7976 data_cost: 0.0151 ips: 70.2097 images/s [03/17 15:59:22] ppdet.engine INFO: Epoch: [31] [480/523] learning_rate: 0.272497 loss_vfl: 1.344054 loss_bbox: 0.622815 loss_dfl: 0.477644 loss: 2.470541 eta: 1 day, 10:56:12 batch_cost: 0.7695 data_cost: 0.0033 ips: 72.7783 images/s [03/17 15:59:39] ppdet.engine INFO: Epoch: [31] [500/523] learning_rate: 0.272479 loss_vfl: 1.293893 loss_bbox: 0.626084 loss_dfl: 0.465476 loss: 2.372142 eta: 1 day, 10:55:24 batch_cost: 0.7210 data_cost: 0.0042 ips: 77.6742 images/s [03/17 15:59:56] ppdet.engine INFO: Epoch: [31] [520/523] learning_rate: 0.272461 loss_vfl: 1.281331 loss_bbox: 0.616970 loss_dfl: 0.462922 loss: 2.388304 eta: 1 day, 10:54:41 batch_cost: 0.7478 data_cost: 0.0049 ips: 74.8909 images/s [03/17 16:00:09] ppdet.engine INFO: Epoch: [32] [ 0/523] learning_rate: 0.272458 loss_vfl: 1.258121 loss_bbox: 0.608030 loss_dfl: 0.459734 loss: 2.340576 eta: 1 day, 10:55:57 batch_cost: 1.2263 data_cost: 0.4301 ips: 45.6676 images/s [03/17 16:00:30] ppdet.engine INFO: Epoch: [32] [ 20/523] learning_rate: 0.272440 loss_vfl: 1.301550 loss_bbox: 0.648022 loss_dfl: 0.479279 loss: 2.455304 eta: 1 day, 10:55:20 batch_cost: 0.7829 data_cost: 0.0041 ips: 71.5274 images/s [03/17 16:00:51] ppdet.engine INFO: Epoch: [32] [ 40/523] learning_rate: 0.272422 loss_vfl: 1.327654 loss_bbox: 0.644240 loss_dfl: 0.484513 loss: 2.503243 eta: 1 day, 10:55:00 batch_cost: 0.8838 data_cost: 0.0638 ips: 63.3625 images/s [03/17 16:01:14] ppdet.engine INFO: Epoch: [32] [ 60/523] learning_rate: 0.272404 loss_vfl: 1.336215 loss_bbox: 0.649644 loss_dfl: 0.482898 loss: 2.478443 eta: 1 day, 10:54:55 batch_cost: 0.9797 data_cost: 0.1433 ips: 57.1596 images/s [03/17 16:01:33] ppdet.engine INFO: Epoch: [32] [ 80/523] learning_rate: 0.272385 loss_vfl: 1.322984 loss_bbox: 0.653788 loss_dfl: 0.489142 loss: 2.447936 eta: 1 day, 10:54:23 batch_cost: 0.8111 data_cost: 0.0030 ips: 69.0441 images/s [03/17 16:01:55] ppdet.engine INFO: Epoch: [32] [100/523] learning_rate: 0.272367 loss_vfl: 1.253272 loss_bbox: 0.598481 loss_dfl: 0.461228 loss: 2.310241 eta: 1 day, 10:54:08 batch_cost: 0.9153 data_cost: 0.0053 ips: 61.1852 images/s [03/17 16:02:14] ppdet.engine INFO: Epoch: [32] [120/523] learning_rate: 0.272349 loss_vfl: 1.355521 loss_bbox: 0.637400 loss_dfl: 0.484791 loss: 2.474170 eta: 1 day, 10:53:35 batch_cost: 0.8071 data_cost: 0.0040 ips: 69.3882 images/s [03/17 16:02:36] ppdet.engine INFO: Epoch: [32] [140/523] learning_rate: 0.272330 loss_vfl: 1.325030 loss_bbox: 0.592504 loss_dfl: 0.471590 loss: 2.363187 eta: 1 day, 10:53:23 batch_cost: 0.9282 data_cost: 0.0038 ips: 60.3318 images/s [03/17 16:02:56] ppdet.engine INFO: Epoch: [32] [160/523] learning_rate: 0.272312 loss_vfl: 1.325489 loss_bbox: 0.622787 loss_dfl: 0.477470 loss: 2.430327 eta: 1 day, 10:53:00 batch_cost: 0.8669 data_cost: 0.0041 ips: 64.5961 images/s [03/17 16:03:19] ppdet.engine INFO: Epoch: [32] [180/523] learning_rate: 0.272294 loss_vfl: 1.405354 loss_bbox: 0.663142 loss_dfl: 0.514478 loss: 2.591731 eta: 1 day, 10:53:01 batch_cost: 1.0139 data_cost: 0.0084 ips: 55.2328 images/s [03/17 16:03:39] ppdet.engine INFO: Epoch: [32] [200/523] learning_rate: 0.272275 loss_vfl: 1.340538 loss_bbox: 0.653164 loss_dfl: 0.490600 loss: 2.461294 eta: 1 day, 10:52:41 batch_cost: 0.8827 data_cost: 0.0011 ips: 63.4394 images/s [03/17 16:03:57] ppdet.engine INFO: Epoch: [32] [220/523] learning_rate: 0.272257 loss_vfl: 1.356703 loss_bbox: 0.670962 loss_dfl: 0.502516 loss: 2.543829 eta: 1 day, 10:52:03 batch_cost: 0.7782 data_cost: 0.0101 ips: 71.9604 images/s [03/17 16:04:15] ppdet.engine INFO: Epoch: [32] [240/523] learning_rate: 0.272239 loss_vfl: 1.279451 loss_bbox: 0.620435 loss_dfl: 0.464997 loss: 2.355486 eta: 1 day, 10:51:14 batch_cost: 0.7044 data_cost: 0.0021 ips: 79.5043 images/s [03/17 16:04:34] ppdet.engine INFO: Epoch: [32] [260/523] learning_rate: 0.272220 loss_vfl: 1.377338 loss_bbox: 0.694231 loss_dfl: 0.506809 loss: 2.567754 eta: 1 day, 10:50:47 batch_cost: 0.8419 data_cost: 0.0028 ips: 66.5201 images/s [03/17 16:04:53] ppdet.engine INFO: Epoch: [32] [280/523] learning_rate: 0.272202 loss_vfl: 1.342853 loss_bbox: 0.662655 loss_dfl: 0.481368 loss: 2.483812 eta: 1 day, 10:50:24 batch_cost: 0.8676 data_cost: 0.0018 ips: 64.5424 images/s [03/17 16:05:13] ppdet.engine INFO: Epoch: [32] [300/523] learning_rate: 0.272183 loss_vfl: 1.316622 loss_bbox: 0.635304 loss_dfl: 0.473306 loss: 2.436341 eta: 1 day, 10:49:53 batch_cost: 0.8183 data_cost: 0.0060 ips: 68.4308 images/s [03/17 16:05:34] ppdet.engine INFO: Epoch: [32] [320/523] learning_rate: 0.272165 loss_vfl: 1.329902 loss_bbox: 0.615035 loss_dfl: 0.468546 loss: 2.427387 eta: 1 day, 10:49:37 batch_cost: 0.9097 data_cost: 0.0029 ips: 61.5559 images/s [03/17 16:05:55] ppdet.engine INFO: Epoch: [32] [340/523] learning_rate: 0.272146 loss_vfl: 1.371524 loss_bbox: 0.638609 loss_dfl: 0.484298 loss: 2.548071 eta: 1 day, 10:49:16 batch_cost: 0.8778 data_cost: 0.0046 ips: 63.7958 images/s [03/17 16:06:17] ppdet.engine INFO: Epoch: [32] [360/523] learning_rate: 0.272127 loss_vfl: 1.358927 loss_bbox: 0.658256 loss_dfl: 0.495680 loss: 2.523771 eta: 1 day, 10:49:04 batch_cost: 0.9310 data_cost: 0.0904 ips: 60.1504 images/s [03/17 16:06:37] ppdet.engine INFO: Epoch: [32] [380/523] learning_rate: 0.272109 loss_vfl: 1.331663 loss_bbox: 0.654135 loss_dfl: 0.491232 loss: 2.466544 eta: 1 day, 10:48:45 batch_cost: 0.8922 data_cost: 0.0021 ips: 62.7691 images/s [03/17 16:06:57] ppdet.engine INFO: Epoch: [32] [400/523] learning_rate: 0.272090 loss_vfl: 1.399086 loss_bbox: 0.666023 loss_dfl: 0.477008 loss: 2.537688 eta: 1 day, 10:48:26 batch_cost: 0.8887 data_cost: 0.0014 ips: 63.0160 images/s [03/17 16:07:17] ppdet.engine INFO: Epoch: [32] [420/523] learning_rate: 0.272072 loss_vfl: 1.350033 loss_bbox: 0.660735 loss_dfl: 0.483907 loss: 2.485382 eta: 1 day, 10:48:03 batch_cost: 0.8630 data_cost: 0.0441 ips: 64.8873 images/s [03/17 16:07:41] ppdet.engine INFO: Epoch: [32] [440/523] learning_rate: 0.272053 loss_vfl: 1.362189 loss_bbox: 0.628902 loss_dfl: 0.478335 loss: 2.440437 eta: 1 day, 10:48:05 batch_cost: 1.0182 data_cost: 0.0949 ips: 54.9967 images/s [03/17 16:08:01] ppdet.engine INFO: Epoch: [32] [460/523] learning_rate: 0.272034 loss_vfl: 1.312900 loss_bbox: 0.610851 loss_dfl: 0.463214 loss: 2.368692 eta: 1 day, 10:47:41 batch_cost: 0.8621 data_cost: 0.0029 ips: 64.9578 images/s [03/17 16:08:22] ppdet.engine INFO: Epoch: [32] [480/523] learning_rate: 0.272016 loss_vfl: 1.309572 loss_bbox: 0.666267 loss_dfl: 0.504322 loss: 2.460757 eta: 1 day, 10:47:27 batch_cost: 0.9186 data_cost: 0.0278 ips: 60.9654 images/s [03/17 16:08:41] ppdet.engine INFO: Epoch: [32] [500/523] learning_rate: 0.271997 loss_vfl: 1.349950 loss_bbox: 0.656694 loss_dfl: 0.496934 loss: 2.483481 eta: 1 day, 10:47:01 batch_cost: 0.8516 data_cost: 0.0044 ips: 65.7574 images/s [03/17 16:08:57] ppdet.engine INFO: Epoch: [32] [520/523] learning_rate: 0.271978 loss_vfl: 1.351694 loss_bbox: 0.659435 loss_dfl: 0.482642 loss: 2.468947 eta: 1 day, 10:46:10 batch_cost: 0.6867 data_cost: 0.0035 ips: 81.5455 images/s [03/17 16:09:09] ppdet.engine INFO: Epoch: [33] [ 0/523] learning_rate: 0.271975 loss_vfl: 1.384296 loss_bbox: 0.659451 loss_dfl: 0.491655 loss: 2.527707 eta: 1 day, 10:47:11 batch_cost: 1.0904 data_cost: 0.3712 ips: 51.3570 images/s [03/17 16:09:27] ppdet.engine INFO: Epoch: [33] [ 20/523] learning_rate: 0.271957 loss_vfl: 1.260006 loss_bbox: 0.560636 loss_dfl: 0.434645 loss: 2.230385 eta: 1 day, 10:46:40 batch_cost: 0.8159 data_cost: 0.0071 ips: 68.6368 images/s [03/17 16:09:47] ppdet.engine INFO: Epoch: [33] [ 40/523] learning_rate: 0.271938 loss_vfl: 1.339352 loss_bbox: 0.638446 loss_dfl: 0.481944 loss: 2.467999 eta: 1 day, 10:46:17 batch_cost: 0.8663 data_cost: 0.0079 ips: 64.6451 images/s [03/17 16:10:07] ppdet.engine INFO: Epoch: [33] [ 60/523] learning_rate: 0.271919 loss_vfl: 1.338197 loss_bbox: 0.638170 loss_dfl: 0.486028 loss: 2.461468 eta: 1 day, 10:45:46 batch_cost: 0.8184 data_cost: 0.0046 ips: 68.4262 images/s [03/17 16:10:30] ppdet.engine INFO: Epoch: [33] [ 80/523] learning_rate: 0.271900 loss_vfl: 1.286146 loss_bbox: 0.610523 loss_dfl: 0.463309 loss: 2.340133 eta: 1 day, 10:45:49 batch_cost: 1.0225 data_cost: 0.0032 ips: 54.7678 images/s [03/17 16:10:51] ppdet.engine INFO: Epoch: [33] [100/523] learning_rate: 0.271881 loss_vfl: 1.337372 loss_bbox: 0.617499 loss_dfl: 0.473390 loss: 2.421597 eta: 1 day, 10:45:32 batch_cost: 0.9038 data_cost: 0.0012 ips: 61.9589 images/s [03/17 16:11:12] ppdet.engine INFO: Epoch: [33] [120/523] learning_rate: 0.271863 loss_vfl: 1.322646 loss_bbox: 0.617892 loss_dfl: 0.464147 loss: 2.416321 eta: 1 day, 10:45:18 batch_cost: 0.9239 data_cost: 0.0021 ips: 60.6140 images/s [03/17 16:11:32] ppdet.engine INFO: Epoch: [33] [140/523] learning_rate: 0.271844 loss_vfl: 1.295619 loss_bbox: 0.637620 loss_dfl: 0.465817 loss: 2.370260 eta: 1 day, 10:44:59 batch_cost: 0.8862 data_cost: 0.0062 ips: 63.1916 images/s [03/17 16:11:54] ppdet.engine INFO: Epoch: [33] [160/523] learning_rate: 0.271825 loss_vfl: 1.363691 loss_bbox: 0.653530 loss_dfl: 0.486433 loss: 2.502059 eta: 1 day, 10:44:54 batch_cost: 0.9811 data_cost: 0.0020 ips: 57.0803 images/s [03/17 16:12:16] ppdet.engine INFO: Epoch: [33] [180/523] learning_rate: 0.271806 loss_vfl: 1.344679 loss_bbox: 0.673305 loss_dfl: 0.502754 loss: 2.555573 eta: 1 day, 10:44:46 batch_cost: 0.9594 data_cost: 0.0025 ips: 58.3680 images/s [03/17 16:12:36] ppdet.engine INFO: Epoch: [33] [200/523] learning_rate: 0.271787 loss_vfl: 1.387764 loss_bbox: 0.644367 loss_dfl: 0.482029 loss: 2.523234 eta: 1 day, 10:44:27 batch_cost: 0.8898 data_cost: 0.0035 ips: 62.9333 images/s [03/17 16:12:58] ppdet.engine INFO: Epoch: [33] [220/523] learning_rate: 0.271768 loss_vfl: 1.318224 loss_bbox: 0.628356 loss_dfl: 0.482847 loss: 2.435086 eta: 1 day, 10:44:14 batch_cost: 0.9275 data_cost: 0.0053 ips: 60.3771 images/s [03/17 16:13:20] ppdet.engine INFO: Epoch: [33] [240/523] learning_rate: 0.271749 loss_vfl: 1.282557 loss_bbox: 0.646540 loss_dfl: 0.459461 loss: 2.372237 eta: 1 day, 10:44:18 batch_cost: 1.0327 data_cost: 0.0026 ips: 54.2249 images/s [03/17 16:13:39] ppdet.engine INFO: Epoch: [33] [260/523] learning_rate: 0.271730 loss_vfl: 1.308657 loss_bbox: 0.636097 loss_dfl: 0.492530 loss: 2.464196 eta: 1 day, 10:43:47 batch_cost: 0.8155 data_cost: 0.0150 ips: 68.6697 images/s [03/17 16:13:58] ppdet.engine INFO: Epoch: [33] [280/523] learning_rate: 0.271711 loss_vfl: 1.271793 loss_bbox: 0.621538 loss_dfl: 0.461781 loss: 2.391352 eta: 1 day, 10:43:15 batch_cost: 0.8097 data_cost: 0.0013 ips: 69.1580 images/s [03/17 16:14:17] ppdet.engine INFO: Epoch: [33] [300/523] learning_rate: 0.271692 loss_vfl: 1.354551 loss_bbox: 0.672560 loss_dfl: 0.491314 loss: 2.520331 eta: 1 day, 10:42:48 batch_cost: 0.8365 data_cost: 0.0005 ips: 66.9440 images/s [03/17 16:14:36] ppdet.engine INFO: Epoch: [33] [320/523] learning_rate: 0.271673 loss_vfl: 1.360389 loss_bbox: 0.649986 loss_dfl: 0.485002 loss: 2.479051 eta: 1 day, 10:42:19 batch_cost: 0.8271 data_cost: 0.0027 ips: 67.7083 images/s [03/17 16:14:57] ppdet.engine INFO: Epoch: [33] [340/523] learning_rate: 0.271654 loss_vfl: 1.313962 loss_bbox: 0.647575 loss_dfl: 0.487221 loss: 2.454021 eta: 1 day, 10:42:01 batch_cost: 0.8955 data_cost: 0.0047 ips: 62.5353 images/s [03/17 16:15:18] ppdet.engine INFO: Epoch: [33] [360/523] learning_rate: 0.271635 loss_vfl: 1.438556 loss_bbox: 0.677583 loss_dfl: 0.510307 loss: 2.656287 eta: 1 day, 10:41:48 batch_cost: 0.9332 data_cost: 0.0018 ips: 60.0097 images/s [03/17 16:15:37] ppdet.engine INFO: Epoch: [33] [380/523] learning_rate: 0.271615 loss_vfl: 1.373732 loss_bbox: 0.661696 loss_dfl: 0.488158 loss: 2.538003 eta: 1 day, 10:41:23 batch_cost: 0.8490 data_cost: 0.0023 ips: 65.9590 images/s [03/17 16:16:00] ppdet.engine INFO: Epoch: [33] [400/523] learning_rate: 0.271596 loss_vfl: 1.283148 loss_bbox: 0.616534 loss_dfl: 0.471346 loss: 2.416923 eta: 1 day, 10:41:19 batch_cost: 0.9868 data_cost: 0.0036 ips: 56.7510 images/s [03/17 16:16:18] ppdet.engine INFO: Epoch: [33] [420/523] learning_rate: 0.271577 loss_vfl: 1.314713 loss_bbox: 0.664395 loss_dfl: 0.491553 loss: 2.506925 eta: 1 day, 10:40:45 batch_cost: 0.7931 data_cost: 0.0041 ips: 70.6068 images/s [03/17 16:16:40] ppdet.engine INFO: Epoch: [33] [440/523] learning_rate: 0.271558 loss_vfl: 1.317326 loss_bbox: 0.653922 loss_dfl: 0.488734 loss: 2.545061 eta: 1 day, 10:40:32 batch_cost: 0.9283 data_cost: 0.0003 ips: 60.3245 images/s [03/17 16:17:03] ppdet.engine INFO: Epoch: [33] [460/523] learning_rate: 0.271539 loss_vfl: 1.322070 loss_bbox: 0.673380 loss_dfl: 0.490326 loss: 2.450948 eta: 1 day, 10:40:39 batch_cost: 1.0572 data_cost: 0.0049 ips: 52.9698 images/s [03/17 16:17:24] ppdet.engine INFO: Epoch: [33] [480/523] learning_rate: 0.271519 loss_vfl: 1.368435 loss_bbox: 0.646073 loss_dfl: 0.489881 loss: 2.529119 eta: 1 day, 10:40:18 batch_cost: 0.8743 data_cost: 0.0068 ips: 64.0546 images/s [03/17 16:17:43] ppdet.engine INFO: Epoch: [33] [500/523] learning_rate: 0.271500 loss_vfl: 1.266685 loss_bbox: 0.619032 loss_dfl: 0.472321 loss: 2.367560 eta: 1 day, 10:39:48 batch_cost: 0.8234 data_cost: 0.0033 ips: 68.0088 images/s [03/17 16:18:01] ppdet.engine INFO: Epoch: [33] [520/523] learning_rate: 0.271481 loss_vfl: 1.288852 loss_bbox: 0.637260 loss_dfl: 0.468817 loss: 2.394003 eta: 1 day, 10:39:07 batch_cost: 0.7487 data_cost: 0.0036 ips: 74.7980 images/s [03/17 16:18:14] ppdet.engine INFO: Epoch: [34] [ 0/523] learning_rate: 0.271478 loss_vfl: 1.306764 loss_bbox: 0.641385 loss_dfl: 0.472619 loss: 2.437736 eta: 1 day, 10:40:16 batch_cost: 1.1933 data_cost: 0.2746 ips: 46.9304 images/s [03/17 16:18:33] ppdet.engine INFO: Epoch: [34] [ 20/523] learning_rate: 0.271459 loss_vfl: 1.303240 loss_bbox: 0.646404 loss_dfl: 0.484147 loss: 2.401813 eta: 1 day, 10:39:37 batch_cost: 0.7607 data_cost: 0.0027 ips: 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[34] [120/523] learning_rate: 0.271362 loss_vfl: 1.309149 loss_bbox: 0.660616 loss_dfl: 0.492712 loss: 2.465973 eta: 1 day, 10:37:33 batch_cost: 0.9896 data_cost: 0.0078 ips: 56.5866 images/s [03/17 16:20:35] ppdet.engine INFO: Epoch: [34] [140/523] learning_rate: 0.271342 loss_vfl: 1.282135 loss_bbox: 0.619496 loss_dfl: 0.468288 loss: 2.382607 eta: 1 day, 10:37:10 batch_cost: 0.8696 data_cost: 0.0063 ips: 64.3968 images/s [03/17 16:20:53] ppdet.engine INFO: Epoch: [34] [160/523] learning_rate: 0.271323 loss_vfl: 1.213901 loss_bbox: 0.583905 loss_dfl: 0.449945 loss: 2.246255 eta: 1 day, 10:36:36 batch_cost: 0.7917 data_cost: 0.0074 ips: 70.7352 images/s [03/17 16:21:16] ppdet.engine INFO: Epoch: [34] [180/523] learning_rate: 0.271303 loss_vfl: 1.337199 loss_bbox: 0.643569 loss_dfl: 0.484774 loss: 2.462781 eta: 1 day, 10:36:29 batch_cost: 0.9665 data_cost: 0.0103 ips: 57.9405 images/s [03/17 16:21:35] ppdet.engine INFO: Epoch: [34] [200/523] learning_rate: 0.271284 loss_vfl: 1.334386 loss_bbox: 0.633240 loss_dfl: 0.485960 loss: 2.472844 eta: 1 day, 10:35:43 batch_cost: 0.7147 data_cost: 0.0010 ips: 78.3534 images/s [03/17 16:21:56] ppdet.engine INFO: Epoch: [34] [220/523] learning_rate: 0.271264 loss_vfl: 1.269320 loss_bbox: 0.591566 loss_dfl: 0.455598 loss: 2.309607 eta: 1 day, 10:35:24 batch_cost: 0.8886 data_cost: 0.0021 ips: 63.0170 images/s [03/17 16:22:17] ppdet.engine INFO: Epoch: [34] [240/523] learning_rate: 0.271245 loss_vfl: 1.305957 loss_bbox: 0.646212 loss_dfl: 0.469043 loss: 2.367228 eta: 1 day, 10:34:58 batch_cost: 0.8447 data_cost: 0.0020 ips: 66.2963 images/s [03/17 16:22:38] ppdet.engine INFO: Epoch: [34] [260/523] learning_rate: 0.271225 loss_vfl: 1.255068 loss_bbox: 0.605458 loss_dfl: 0.467607 loss: 2.339320 eta: 1 day, 10:34:39 batch_cost: 0.8916 data_cost: 0.0047 ips: 62.8085 images/s [03/17 16:22:58] ppdet.engine INFO: Epoch: [34] [280/523] learning_rate: 0.271206 loss_vfl: 1.381933 loss_bbox: 0.674018 loss_dfl: 0.506061 loss: 2.597864 eta: 1 day, 10:34:09 batch_cost: 0.8162 data_cost: 0.0065 ips: 68.6129 images/s [03/17 16:23:19] ppdet.engine INFO: Epoch: [34] [300/523] learning_rate: 0.271186 loss_vfl: 1.360749 loss_bbox: 0.634845 loss_dfl: 0.482067 loss: 2.500614 eta: 1 day, 10:33:53 batch_cost: 0.9090 data_cost: 0.0043 ips: 61.6085 images/s [03/17 16:23:38] ppdet.engine INFO: Epoch: [34] [320/523] learning_rate: 0.271167 loss_vfl: 1.335375 loss_bbox: 0.632651 loss_dfl: 0.477213 loss: 2.442797 eta: 1 day, 10:33:26 batch_cost: 0.8341 data_cost: 0.0098 ips: 67.1373 images/s [03/17 16:23:56] ppdet.engine INFO: Epoch: [34] [340/523] learning_rate: 0.271147 loss_vfl: 1.369841 loss_bbox: 0.659582 loss_dfl: 0.489449 loss: 2.527999 eta: 1 day, 10:32:41 batch_cost: 0.7201 data_cost: 0.0022 ips: 77.7620 images/s [03/17 16:24:13] ppdet.engine INFO: Epoch: [34] [360/523] learning_rate: 0.271127 loss_vfl: 1.303917 loss_bbox: 0.614840 loss_dfl: 0.457877 loss: 2.364251 eta: 1 day, 10:31:54 batch_cost: 0.7073 data_cost: 0.0038 ips: 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[34] [460/523] learning_rate: 0.271029 loss_vfl: 1.328572 loss_bbox: 0.628409 loss_dfl: 0.475290 loss: 2.431272 eta: 1 day, 10:30:17 batch_cost: 0.8551 data_cost: 0.0033 ips: 65.4861 images/s [03/17 16:26:17] ppdet.engine INFO: Epoch: [34] [480/523] learning_rate: 0.271009 loss_vfl: 1.331025 loss_bbox: 0.634401 loss_dfl: 0.474263 loss: 2.449521 eta: 1 day, 10:29:57 batch_cost: 0.8801 data_cost: 0.0033 ips: 63.6318 images/s [03/17 16:26:37] ppdet.engine INFO: Epoch: [34] [500/523] learning_rate: 0.270989 loss_vfl: 1.353898 loss_bbox: 0.661420 loss_dfl: 0.484676 loss: 2.483364 eta: 1 day, 10:29:38 batch_cost: 0.8858 data_cost: 0.0054 ips: 63.2216 images/s [03/17 16:26:54] ppdet.engine INFO: Epoch: [34] [520/523] learning_rate: 0.270969 loss_vfl: 1.363915 loss_bbox: 0.650837 loss_dfl: 0.495916 loss: 2.498803 eta: 1 day, 10:28:51 batch_cost: 0.7057 data_cost: 0.0025 ips: 79.3582 images/s [03/17 16:27:05] ppdet.engine INFO: Epoch: [35] [ 0/523] learning_rate: 0.270966 loss_vfl: 1.326273 loss_bbox: 0.629298 loss_dfl: 0.486734 loss: 2.469037 eta: 1 day, 10:29:43 batch_cost: 1.0869 data_cost: 0.2617 ips: 51.5213 images/s [03/17 16:27:28] ppdet.engine INFO: Epoch: [35] [ 20/523] learning_rate: 0.270946 loss_vfl: 1.351053 loss_bbox: 0.635145 loss_dfl: 0.486886 loss: 2.504302 eta: 1 day, 10:29:47 batch_cost: 1.0353 data_cost: 0.0037 ips: 54.0893 images/s [03/17 16:27:48] ppdet.engine INFO: Epoch: [35] [ 40/523] learning_rate: 0.270926 loss_vfl: 1.276375 loss_bbox: 0.631885 loss_dfl: 0.486140 loss: 2.467956 eta: 1 day, 10:29:22 batch_cost: 0.8498 data_cost: 0.0039 ips: 65.9009 images/s [03/17 16:28:12] ppdet.engine INFO: Epoch: [35] [ 60/523] learning_rate: 0.270906 loss_vfl: 1.343935 loss_bbox: 0.608958 loss_dfl: 0.451209 loss: 2.417401 eta: 1 day, 10:29:34 batch_cost: 1.0950 data_cost: 0.0013 ips: 51.1420 images/s [03/17 16:28:32] ppdet.engine INFO: Epoch: [35] [ 80/523] learning_rate: 0.270887 loss_vfl: 1.292471 loss_bbox: 0.622124 loss_dfl: 0.451051 loss: 2.374008 eta: 1 day, 10:29:08 batch_cost: 0.8460 data_cost: 0.0053 ips: 66.1973 images/s [03/17 16:28:49] ppdet.engine INFO: Epoch: [35] [100/523] learning_rate: 0.270867 loss_vfl: 1.289618 loss_bbox: 0.634647 loss_dfl: 0.467016 loss: 2.361836 eta: 1 day, 10:28:33 batch_cost: 0.7818 data_cost: 0.0032 ips: 71.6321 images/s [03/17 16:29:08] ppdet.engine INFO: Epoch: [35] [120/523] learning_rate: 0.270847 loss_vfl: 1.366520 loss_bbox: 0.653291 loss_dfl: 0.500031 loss: 2.546995 eta: 1 day, 10:28:01 batch_cost: 0.8044 data_cost: 0.0003 ips: 69.6169 images/s [03/17 16:29:31] ppdet.engine INFO: Epoch: [35] [140/523] learning_rate: 0.270827 loss_vfl: 1.308571 loss_bbox: 0.668217 loss_dfl: 0.489857 loss: 2.450714 eta: 1 day, 10:28:03 batch_cost: 1.0233 data_cost: 0.0044 ips: 54.7247 images/s [03/17 16:29:52] ppdet.engine INFO: Epoch: [35] [160/523] learning_rate: 0.270807 loss_vfl: 1.297680 loss_bbox: 0.654191 loss_dfl: 0.479482 loss: 2.416306 eta: 1 day, 10:27:49 batch_cost: 0.9275 data_cost: 0.0039 ips: 60.3759 images/s [03/17 16:30:14] ppdet.engine INFO: Epoch: [35] [180/523] learning_rate: 0.270787 loss_vfl: 1.310648 loss_bbox: 0.609271 loss_dfl: 0.465517 loss: 2.346770 eta: 1 day, 10:27:49 batch_cost: 1.0144 data_cost: 0.0035 ips: 55.2064 images/s [03/17 16:30:36] ppdet.engine INFO: Epoch: [35] [200/523] learning_rate: 0.270767 loss_vfl: 1.338672 loss_bbox: 0.658202 loss_dfl: 0.489797 loss: 2.460146 eta: 1 day, 10:27:51 batch_cost: 1.0257 data_cost: 0.0032 ips: 54.5954 images/s [03/17 16:30:58] ppdet.engine INFO: Epoch: [35] [220/523] learning_rate: 0.270746 loss_vfl: 1.322210 loss_bbox: 0.645969 loss_dfl: 0.472996 loss: 2.424523 eta: 1 day, 10:27:37 batch_cost: 0.9271 data_cost: 0.0006 ips: 60.4065 images/s [03/17 16:31:18] ppdet.engine INFO: Epoch: [35] [240/523] learning_rate: 0.270726 loss_vfl: 1.358519 loss_bbox: 0.649658 loss_dfl: 0.478226 loss: 2.454235 eta: 1 day, 10:27:12 batch_cost: 0.8508 data_cost: 0.0018 ips: 65.8195 images/s [03/17 16:31:39] ppdet.engine INFO: Epoch: [35] [260/523] learning_rate: 0.270706 loss_vfl: 1.351152 loss_bbox: 0.655618 loss_dfl: 0.493742 loss: 2.511618 eta: 1 day, 10:26:54 batch_cost: 0.8919 data_cost: 0.0035 ips: 62.7842 images/s [03/17 16:32:00] ppdet.engine INFO: Epoch: [35] [280/523] learning_rate: 0.270686 loss_vfl: 1.262658 loss_bbox: 0.601946 loss_dfl: 0.445509 loss: 2.288781 eta: 1 day, 10:26:44 batch_cost: 0.9534 data_cost: 0.0051 ips: 58.7392 images/s [03/17 16:32:22] ppdet.engine INFO: Epoch: [35] [300/523] learning_rate: 0.270666 loss_vfl: 1.316799 loss_bbox: 0.647612 loss_dfl: 0.476148 loss: 2.426520 eta: 1 day, 10:26:40 batch_cost: 0.9857 data_cost: 0.0024 ips: 56.8106 images/s [03/17 16:32:43] ppdet.engine INFO: Epoch: [35] [320/523] learning_rate: 0.270646 loss_vfl: 1.346738 loss_bbox: 0.652470 loss_dfl: 0.488928 loss: 2.496517 eta: 1 day, 10:26:35 batch_cost: 0.9881 data_cost: 0.0077 ips: 56.6746 images/s [03/17 16:33:03] ppdet.engine INFO: Epoch: [35] [340/523] learning_rate: 0.270626 loss_vfl: 1.364394 loss_bbox: 0.651906 loss_dfl: 0.482217 loss: 2.446441 eta: 1 day, 10:26:13 batch_cost: 0.8652 data_cost: 0.0023 ips: 64.7235 images/s [03/17 16:33:24] ppdet.engine INFO: Epoch: [35] [360/523] learning_rate: 0.270605 loss_vfl: 1.376656 loss_bbox: 0.639606 loss_dfl: 0.487939 loss: 2.495129 eta: 1 day, 10:26:03 batch_cost: 0.9494 data_cost: 0.0035 ips: 58.9847 images/s [03/17 16:33:42] ppdet.engine INFO: Epoch: [35] [380/523] learning_rate: 0.270585 loss_vfl: 1.275904 loss_bbox: 0.600163 loss_dfl: 0.452820 loss: 2.356984 eta: 1 day, 10:25:20 batch_cost: 0.7274 data_cost: 0.0039 ips: 76.9838 images/s [03/17 16:34:00] ppdet.engine INFO: Epoch: [35] [400/523] learning_rate: 0.270565 loss_vfl: 1.368692 loss_bbox: 0.657696 loss_dfl: 0.492110 loss: 2.503216 eta: 1 day, 10:24:44 batch_cost: 0.7746 data_cost: 0.0052 ips: 72.2958 images/s [03/17 16:34:22] ppdet.engine INFO: Epoch: [35] [420/523] learning_rate: 0.270545 loss_vfl: 1.321245 loss_bbox: 0.625678 loss_dfl: 0.486645 loss: 2.441680 eta: 1 day, 10:24:31 batch_cost: 0.9319 data_cost: 0.0058 ips: 60.0926 images/s [03/17 16:34:43] ppdet.engine INFO: Epoch: [35] [440/523] learning_rate: 0.270524 loss_vfl: 1.319171 loss_bbox: 0.632309 loss_dfl: 0.466711 loss: 2.420261 eta: 1 day, 10:24:08 batch_cost: 0.8646 data_cost: 0.0029 ips: 64.7669 images/s [03/17 16:35:04] ppdet.engine INFO: Epoch: [35] [460/523] learning_rate: 0.270504 loss_vfl: 1.326226 loss_bbox: 0.643135 loss_dfl: 0.468953 loss: 2.389068 eta: 1 day, 10:24:02 batch_cost: 0.9772 data_cost: 0.0051 ips: 57.3088 images/s [03/17 16:35:25] ppdet.engine INFO: Epoch: [35] [480/523] learning_rate: 0.270484 loss_vfl: 1.290046 loss_bbox: 0.669593 loss_dfl: 0.478943 loss: 2.436047 eta: 1 day, 10:23:49 batch_cost: 0.9301 data_cost: 0.0052 ips: 60.2110 images/s [03/17 16:35:47] ppdet.engine INFO: Epoch: [35] [500/523] learning_rate: 0.270463 loss_vfl: 1.353766 loss_bbox: 0.638703 loss_dfl: 0.485510 loss: 2.482069 eta: 1 day, 10:23:42 batch_cost: 0.9707 data_cost: 0.0037 ips: 57.6895 images/s [03/17 16:36:05] ppdet.engine INFO: Epoch: [35] [520/523] learning_rate: 0.270443 loss_vfl: 1.325549 loss_bbox: 0.633156 loss_dfl: 0.487743 loss: 2.430259 eta: 1 day, 10:23:14 batch_cost: 0.8272 data_cost: 0.0025 ips: 67.6993 images/s [03/17 16:36:17] ppdet.engine INFO: Epoch: [36] [ 0/523] learning_rate: 0.270440 loss_vfl: 1.365076 loss_bbox: 0.653242 loss_dfl: 0.495537 loss: 2.557318 eta: 1 day, 10:24:09 batch_cost: 1.2558 data_cost: 0.3542 ips: 44.5927 images/s [03/17 16:36:38] ppdet.engine INFO: Epoch: [36] [ 20/523] learning_rate: 0.270419 loss_vfl: 1.277565 loss_bbox: 0.638517 loss_dfl: 0.470060 loss: 2.401320 eta: 1 day, 10:23:53 batch_cost: 0.9093 data_cost: 0.0011 ips: 61.5875 images/s [03/17 16:36:57] ppdet.engine INFO: Epoch: [36] [ 40/523] learning_rate: 0.270399 loss_vfl: 1.317442 loss_bbox: 0.645611 loss_dfl: 0.493338 loss: 2.460457 eta: 1 day, 10:23:18 batch_cost: 0.7807 data_cost: 0.0030 ips: 71.7350 images/s [03/17 16:37:18] ppdet.engine INFO: Epoch: [36] [ 60/523] learning_rate: 0.270379 loss_vfl: 1.286620 loss_bbox: 0.614925 loss_dfl: 0.465177 loss: 2.359043 eta: 1 day, 10:23:03 batch_cost: 0.9132 data_cost: 0.0451 ips: 61.3232 images/s [03/17 16:37:42] ppdet.engine INFO: Epoch: [36] [ 80/523] learning_rate: 0.270358 loss_vfl: 1.327765 loss_bbox: 0.620464 loss_dfl: 0.485895 loss: 2.456991 eta: 1 day, 10:22:57 batch_cost: 0.9789 data_cost: 0.1728 ips: 57.2085 images/s [03/17 16:38:00] ppdet.engine INFO: Epoch: [36] [100/523] learning_rate: 0.270338 loss_vfl: 1.370924 loss_bbox: 0.657952 loss_dfl: 0.491977 loss: 2.503543 eta: 1 day, 10:22:21 batch_cost: 0.7775 data_cost: 0.0034 ips: 72.0277 images/s [03/17 16:38:21] ppdet.engine INFO: Epoch: [36] [120/523] learning_rate: 0.270317 loss_vfl: 1.293579 loss_bbox: 0.675905 loss_dfl: 0.492804 loss: 2.483710 eta: 1 day, 10:21:55 batch_cost: 0.8382 data_cost: 0.0023 ips: 66.8098 images/s [03/17 16:38:38] ppdet.engine INFO: Epoch: [36] [140/523] learning_rate: 0.270297 loss_vfl: 1.331540 loss_bbox: 0.620330 loss_dfl: 0.463100 loss: 2.386560 eta: 1 day, 10:21:08 batch_cost: 0.6978 data_cost: 0.0034 ips: 80.2504 images/s [03/17 16:38:57] ppdet.engine INFO: Epoch: [36] [160/523] learning_rate: 0.270276 loss_vfl: 1.335728 loss_bbox: 0.657456 loss_dfl: 0.494151 loss: 2.433250 eta: 1 day, 10:20:31 batch_cost: 0.7673 data_cost: 0.0015 ips: 72.9854 images/s [03/17 16:39:17] ppdet.engine INFO: Epoch: [36] [180/523] learning_rate: 0.270255 loss_vfl: 1.296974 loss_bbox: 0.662268 loss_dfl: 0.482376 loss: 2.442236 eta: 1 day, 10:20:09 batch_cost: 0.8655 data_cost: 0.0041 ips: 64.7055 images/s [03/17 16:39:38] ppdet.engine INFO: Epoch: [36] [200/523] learning_rate: 0.270235 loss_vfl: 1.321666 loss_bbox: 0.640175 loss_dfl: 0.485982 loss: 2.476973 eta: 1 day, 10:19:54 batch_cost: 0.9208 data_cost: 0.0786 ips: 60.8148 images/s [03/17 16:39:58] ppdet.engine INFO: Epoch: [36] [220/523] learning_rate: 0.270214 loss_vfl: 1.291176 loss_bbox: 0.618169 loss_dfl: 0.468989 loss: 2.397154 eta: 1 day, 10:19:32 batch_cost: 0.8645 data_cost: 0.2277 ips: 64.7800 images/s [03/17 16:40:19] ppdet.engine INFO: Epoch: [36] [240/523] learning_rate: 0.270194 loss_vfl: 1.284990 loss_bbox: 0.619380 loss_dfl: 0.464913 loss: 2.350209 eta: 1 day, 10:19:04 batch_cost: 0.8256 data_cost: 0.0724 ips: 67.8310 images/s [03/17 16:40:39] ppdet.engine INFO: Epoch: [36] [260/523] learning_rate: 0.270173 loss_vfl: 1.409563 loss_bbox: 0.674151 loss_dfl: 0.502519 loss: 2.578376 eta: 1 day, 10:18:46 batch_cost: 0.8966 data_cost: 0.1540 ips: 62.4588 images/s [03/17 16:41:00] ppdet.engine INFO: Epoch: [36] [280/523] learning_rate: 0.270152 loss_vfl: 1.284067 loss_bbox: 0.601011 loss_dfl: 0.452827 loss: 2.302717 eta: 1 day, 10:18:24 batch_cost: 0.8665 data_cost: 0.0978 ips: 64.6249 images/s [03/17 16:41:22] ppdet.engine INFO: Epoch: [36] [300/523] learning_rate: 0.270131 loss_vfl: 1.316980 loss_bbox: 0.627232 loss_dfl: 0.471477 loss: 2.434733 eta: 1 day, 10:18:16 batch_cost: 0.9675 data_cost: 0.1119 ips: 57.8815 images/s [03/17 16:41:43] ppdet.engine INFO: Epoch: [36] [320/523] learning_rate: 0.270111 loss_vfl: 1.349129 loss_bbox: 0.613260 loss_dfl: 0.477500 loss: 2.435157 eta: 1 day, 10:17:57 batch_cost: 0.8895 data_cost: 0.0024 ips: 62.9556 images/s [03/17 16:42:02] ppdet.engine INFO: Epoch: [36] [340/523] learning_rate: 0.270090 loss_vfl: 1.316357 loss_bbox: 0.629415 loss_dfl: 0.470070 loss: 2.408614 eta: 1 day, 10:17:28 batch_cost: 0.8197 data_cost: 0.0136 ips: 68.3139 images/s [03/17 16:42:22] ppdet.engine INFO: Epoch: [36] [360/523] learning_rate: 0.270069 loss_vfl: 1.362087 loss_bbox: 0.636010 loss_dfl: 0.467981 loss: 2.422975 eta: 1 day, 10:16:55 batch_cost: 0.7901 data_cost: 0.0074 ips: 70.8811 images/s [03/17 16:42:44] ppdet.engine INFO: Epoch: [36] [380/523] learning_rate: 0.270048 loss_vfl: 1.311203 loss_bbox: 0.644900 loss_dfl: 0.486309 loss: 2.422474 eta: 1 day, 10:16:43 batch_cost: 0.9406 data_cost: 0.0070 ips: 59.5357 images/s [03/17 16:43:04] ppdet.engine INFO: Epoch: [36] [400/523] learning_rate: 0.270028 loss_vfl: 1.270470 loss_bbox: 0.630298 loss_dfl: 0.463304 loss: 2.331374 eta: 1 day, 10:16:17 batch_cost: 0.8347 data_cost: 0.0103 ips: 67.0896 images/s [03/17 16:43:23] ppdet.engine INFO: Epoch: [36] [420/523] learning_rate: 0.270007 loss_vfl: 1.401428 loss_bbox: 0.657759 loss_dfl: 0.489842 loss: 2.518988 eta: 1 day, 10:15:38 batch_cost: 0.7541 data_cost: 0.0040 ips: 74.2589 images/s [03/17 16:43:40] ppdet.engine INFO: Epoch: [36] [440/523] learning_rate: 0.269986 loss_vfl: 1.306433 loss_bbox: 0.610346 loss_dfl: 0.474534 loss: 2.401671 eta: 1 day, 10:14:51 batch_cost: 0.6908 data_cost: 0.0120 ips: 81.0684 images/s [03/17 16:43:59] ppdet.engine INFO: Epoch: [36] [460/523] learning_rate: 0.269965 loss_vfl: 1.287468 loss_bbox: 0.612246 loss_dfl: 0.464558 loss: 2.357719 eta: 1 day, 10:14:26 batch_cost: 0.8479 data_cost: 0.0027 ips: 66.0463 images/s [03/17 16:44:19] ppdet.engine INFO: Epoch: [36] [480/523] learning_rate: 0.269944 loss_vfl: 1.266831 loss_bbox: 0.602262 loss_dfl: 0.452192 loss: 2.315101 eta: 1 day, 10:14:00 batch_cost: 0.8392 data_cost: 0.0028 ips: 66.7335 images/s [03/17 16:44:38] ppdet.engine INFO: Epoch: [36] [500/523] learning_rate: 0.269923 loss_vfl: 1.329900 loss_bbox: 0.635334 loss_dfl: 0.484052 loss: 2.449286 eta: 1 day, 10:13:33 batch_cost: 0.8325 data_cost: 0.0031 ips: 67.2642 images/s [03/17 16:44:56] ppdet.engine INFO: Epoch: [36] [520/523] learning_rate: 0.269902 loss_vfl: 1.288349 loss_bbox: 0.615104 loss_dfl: 0.465487 loss: 2.384781 eta: 1 day, 10:12:59 batch_cost: 0.7782 data_cost: 0.0042 ips: 71.9634 images/s [03/17 16:45:09] ppdet.engine INFO: Epoch: [37] [ 0/523] learning_rate: 0.269899 loss_vfl: 1.288349 loss_bbox: 0.614682 loss_dfl: 0.462672 loss: 2.363557 eta: 1 day, 10:13:58 batch_cost: 1.2265 data_cost: 0.4226 ips: 45.6569 images/s [03/17 16:45:31] ppdet.engine INFO: Epoch: [37] [ 20/523] learning_rate: 0.269878 loss_vfl: 1.321810 loss_bbox: 0.611880 loss_dfl: 0.463773 loss: 2.396944 eta: 1 day, 10:13:28 batch_cost: 0.8076 data_cost: 0.0022 ips: 69.3429 images/s [03/17 16:45:52] ppdet.engine INFO: Epoch: [37] [ 40/523] learning_rate: 0.269857 loss_vfl: 1.329434 loss_bbox: 0.615239 loss_dfl: 0.468295 loss: 2.423172 eta: 1 day, 10:13:07 batch_cost: 0.8734 data_cost: 0.1594 ips: 64.1149 images/s [03/17 16:46:14] ppdet.engine INFO: Epoch: [37] [ 60/523] learning_rate: 0.269836 loss_vfl: 1.296656 loss_bbox: 0.621988 loss_dfl: 0.469063 loss: 2.377892 eta: 1 day, 10:12:57 batch_cost: 0.9528 data_cost: 0.0644 ips: 58.7728 images/s [03/17 16:46:36] ppdet.engine INFO: Epoch: [37] [ 80/523] learning_rate: 0.269815 loss_vfl: 1.366293 loss_bbox: 0.669454 loss_dfl: 0.500395 loss: 2.544929 eta: 1 day, 10:12:50 batch_cost: 0.9769 data_cost: 0.1906 ips: 57.3269 images/s [03/17 16:46:55] ppdet.engine INFO: Epoch: [37] [100/523] learning_rate: 0.269794 loss_vfl: 1.297312 loss_bbox: 0.643105 loss_dfl: 0.474636 loss: 2.406921 eta: 1 day, 10:12:15 batch_cost: 0.7731 data_cost: 0.0045 ips: 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[37] [200/523] learning_rate: 0.269689 loss_vfl: 1.316352 loss_bbox: 0.631679 loss_dfl: 0.477625 loss: 2.424831 eta: 1 day, 10:10:14 batch_cost: 0.7683 data_cost: 0.0544 ips: 72.8866 images/s [03/17 16:48:55] ppdet.engine INFO: Epoch: [37] [220/523] learning_rate: 0.269667 loss_vfl: 1.228202 loss_bbox: 0.596637 loss_dfl: 0.455975 loss: 2.279679 eta: 1 day, 10:09:54 batch_cost: 0.8772 data_cost: 0.0030 ips: 63.8366 images/s [03/17 16:49:18] ppdet.engine INFO: Epoch: [37] [240/523] learning_rate: 0.269646 loss_vfl: 1.294524 loss_bbox: 0.620895 loss_dfl: 0.473729 loss: 2.411257 eta: 1 day, 10:09:42 batch_cost: 0.9394 data_cost: 0.1759 ips: 59.6144 images/s [03/17 16:49:39] ppdet.engine INFO: Epoch: [37] [260/523] learning_rate: 0.269625 loss_vfl: 1.312224 loss_bbox: 0.654474 loss_dfl: 0.483465 loss: 2.422172 eta: 1 day, 10:09:26 batch_cost: 0.9076 data_cost: 0.1095 ips: 61.7012 images/s [03/17 16:50:01] ppdet.engine INFO: Epoch: [37] [280/523] learning_rate: 0.269604 loss_vfl: 1.270992 loss_bbox: 0.635049 loss_dfl: 0.472139 loss: 2.396069 eta: 1 day, 10:09:18 batch_cost: 0.9703 data_cost: 0.2413 ips: 57.7157 images/s [03/17 16:50:23] ppdet.engine INFO: Epoch: [37] [300/523] learning_rate: 0.269583 loss_vfl: 1.388807 loss_bbox: 0.665432 loss_dfl: 0.501326 loss: 2.539443 eta: 1 day, 10:09:11 batch_cost: 0.9716 data_cost: 0.1750 ips: 57.6346 images/s [03/17 16:50:40] ppdet.engine INFO: Epoch: [37] [320/523] learning_rate: 0.269561 loss_vfl: 1.374020 loss_bbox: 0.664503 loss_dfl: 0.499600 loss: 2.547971 eta: 1 day, 10:08:24 batch_cost: 0.6851 data_cost: 0.0050 ips: 81.7385 images/s [03/17 16:51:03] ppdet.engine INFO: Epoch: [37] [340/523] learning_rate: 0.269540 loss_vfl: 1.244716 loss_bbox: 0.629776 loss_dfl: 0.473813 loss: 2.348242 eta: 1 day, 10:08:16 batch_cost: 0.9713 data_cost: 0.0472 ips: 57.6551 images/s [03/17 16:51:25] ppdet.engine INFO: Epoch: [37] [360/523] learning_rate: 0.269519 loss_vfl: 1.351303 loss_bbox: 0.694439 loss_dfl: 0.504687 loss: 2.560533 eta: 1 day, 10:08:05 batch_cost: 0.9409 data_cost: 0.2252 ips: 59.5169 images/s [03/17 16:51:45] ppdet.engine INFO: Epoch: [37] [380/523] learning_rate: 0.269497 loss_vfl: 1.343707 loss_bbox: 0.657684 loss_dfl: 0.504826 loss: 2.504068 eta: 1 day, 10:07:42 batch_cost: 0.8649 data_cost: 0.0498 ips: 64.7489 images/s [03/17 16:52:07] ppdet.engine INFO: Epoch: [37] [400/523] learning_rate: 0.269476 loss_vfl: 1.335641 loss_bbox: 0.642562 loss_dfl: 0.489941 loss: 2.462085 eta: 1 day, 10:07:25 batch_cost: 0.9009 data_cost: 0.1063 ips: 62.1593 images/s [03/17 16:52:28] ppdet.engine INFO: Epoch: [37] [420/523] learning_rate: 0.269455 loss_vfl: 1.318022 loss_bbox: 0.600040 loss_dfl: 0.460389 loss: 2.394875 eta: 1 day, 10:06:58 batch_cost: 0.8255 data_cost: 0.1385 ips: 67.8395 images/s [03/17 16:52:48] ppdet.engine INFO: Epoch: [37] [440/523] learning_rate: 0.269433 loss_vfl: 1.296420 loss_bbox: 0.619858 loss_dfl: 0.466332 loss: 2.392059 eta: 1 day, 10:06:34 batch_cost: 0.8580 data_cost: 0.1070 ips: 65.2649 images/s [03/17 16:53:09] ppdet.engine INFO: Epoch: [37] [460/523] learning_rate: 0.269412 loss_vfl: 1.376378 loss_bbox: 0.642739 loss_dfl: 0.488407 loss: 2.507575 eta: 1 day, 10:06:18 batch_cost: 0.9034 data_cost: 0.2553 ips: 61.9912 images/s [03/17 16:53:25] ppdet.engine INFO: Epoch: [37] [480/523] learning_rate: 0.269390 loss_vfl: 1.294092 loss_bbox: 0.622203 loss_dfl: 0.467755 loss: 2.394608 eta: 1 day, 10:05:24 batch_cost: 0.6358 data_cost: 0.0052 ips: 88.0841 images/s [03/17 16:53:44] ppdet.engine INFO: Epoch: [37] [500/523] learning_rate: 0.269369 loss_vfl: 1.282046 loss_bbox: 0.640075 loss_dfl: 0.474602 loss: 2.402231 eta: 1 day, 10:04:55 batch_cost: 0.8187 data_cost: 0.0037 ips: 68.3984 images/s [03/17 16:54:02] ppdet.engine INFO: Epoch: [37] [520/523] learning_rate: 0.269347 loss_vfl: 1.282884 loss_bbox: 0.653479 loss_dfl: 0.468929 loss: 2.417380 eta: 1 day, 10:04:13 batch_cost: 0.7195 data_cost: 0.0039 ips: 77.8358 images/s [03/17 16:54:12] ppdet.engine INFO: Epoch: [38] [ 0/523] learning_rate: 0.269344 loss_vfl: 1.277844 loss_bbox: 0.639924 loss_dfl: 0.457650 loss: 2.410479 eta: 1 day, 10:04:56 batch_cost: 1.0643 data_cost: 0.3898 ips: 52.6152 images/s [03/17 16:54:33] ppdet.engine INFO: Epoch: [38] [ 20/523] learning_rate: 0.269323 loss_vfl: 1.276747 loss_bbox: 0.605728 loss_dfl: 0.452296 loss: 2.303336 eta: 1 day, 10:04:30 batch_cost: 0.8382 data_cost: 0.0061 ips: 66.8087 images/s [03/17 16:54:55] ppdet.engine INFO: Epoch: [38] [ 40/523] learning_rate: 0.269301 loss_vfl: 1.350570 loss_bbox: 0.641887 loss_dfl: 0.502040 loss: 2.494588 eta: 1 day, 10:04:16 batch_cost: 0.9220 data_cost: 0.2077 ips: 60.7388 images/s [03/17 16:55:18] ppdet.engine INFO: Epoch: [38] [ 60/523] learning_rate: 0.269280 loss_vfl: 1.270392 loss_bbox: 0.614292 loss_dfl: 0.465267 loss: 2.359149 eta: 1 day, 10:04:18 batch_cost: 1.0429 data_cost: 0.2582 ips: 53.6950 images/s [03/17 16:55:38] ppdet.engine INFO: Epoch: [38] [ 80/523] learning_rate: 0.269258 loss_vfl: 1.311564 loss_bbox: 0.630852 loss_dfl: 0.471947 loss: 2.426656 eta: 1 day, 10:03:40 batch_cost: 0.7486 data_cost: 0.0016 ips: 74.8047 images/s [03/17 16:55:59] ppdet.engine INFO: Epoch: [38] [100/523] learning_rate: 0.269236 loss_vfl: 1.318258 loss_bbox: 0.637724 loss_dfl: 0.489916 loss: 2.459797 eta: 1 day, 10:03:20 batch_cost: 0.8786 data_cost: 0.1250 ips: 63.7408 images/s [03/17 16:56:20] ppdet.engine INFO: Epoch: [38] [120/523] learning_rate: 0.269215 loss_vfl: 1.364276 loss_bbox: 0.653864 loss_dfl: 0.499819 loss: 2.477299 eta: 1 day, 10:03:00 batch_cost: 0.8845 data_cost: 0.1552 ips: 63.3155 images/s [03/17 16:56:42] ppdet.engine INFO: Epoch: [38] [140/523] learning_rate: 0.269193 loss_vfl: 1.313824 loss_bbox: 0.630505 loss_dfl: 0.473545 loss: 2.482708 eta: 1 day, 10:02:45 batch_cost: 0.9121 data_cost: 0.1727 ips: 61.3993 images/s [03/17 16:57:02] ppdet.engine INFO: Epoch: [38] [160/523] learning_rate: 0.269172 loss_vfl: 1.314429 loss_bbox: 0.616499 loss_dfl: 0.467331 loss: 2.406549 eta: 1 day, 10:02:24 batch_cost: 0.8728 data_cost: 0.1510 ips: 64.1597 images/s [03/17 16:57:24] ppdet.engine INFO: Epoch: [38] [180/523] learning_rate: 0.269150 loss_vfl: 1.357847 loss_bbox: 0.661814 loss_dfl: 0.489130 loss: 2.509880 eta: 1 day, 10:02:16 batch_cost: 0.9700 data_cost: 0.2333 ips: 57.7339 images/s [03/17 16:57:47] ppdet.engine INFO: Epoch: [38] [200/523] learning_rate: 0.269128 loss_vfl: 1.433125 loss_bbox: 0.675585 loss_dfl: 0.496978 loss: 2.632935 eta: 1 day, 10:02:09 batch_cost: 0.9715 data_cost: 0.2124 ips: 57.6444 images/s [03/17 16:58:03] ppdet.engine INFO: Epoch: [38] [220/523] learning_rate: 0.269107 loss_vfl: 1.364264 loss_bbox: 0.660039 loss_dfl: 0.496303 loss: 2.540376 eta: 1 day, 10:01:12 batch_cost: 0.6115 data_cost: 0.0127 ips: 91.5772 images/s [03/17 16:58:22] ppdet.engine INFO: Epoch: [38] [240/523] learning_rate: 0.269085 loss_vfl: 1.304602 loss_bbox: 0.641307 loss_dfl: 0.484160 loss: 2.427790 eta: 1 day, 10:00:37 batch_cost: 0.7725 data_cost: 0.1069 ips: 72.4958 images/s [03/17 16:58:42] ppdet.engine INFO: Epoch: [38] [260/523] learning_rate: 0.269063 loss_vfl: 1.238612 loss_bbox: 0.613096 loss_dfl: 0.452027 loss: 2.279192 eta: 1 day, 10:00:12 batch_cost: 0.8405 data_cost: 0.0026 ips: 66.6249 images/s [03/17 16:59:04] ppdet.engine INFO: Epoch: [38] [280/523] learning_rate: 0.269041 loss_vfl: 1.327200 loss_bbox: 0.653100 loss_dfl: 0.483340 loss: 2.480925 eta: 1 day, 9:59:56 batch_cost: 0.9078 data_cost: 0.0059 ips: 61.6899 images/s [03/17 16:59:24] ppdet.engine INFO: Epoch: [38] [300/523] learning_rate: 0.269019 loss_vfl: 1.400117 loss_bbox: 0.683997 loss_dfl: 0.504984 loss: 2.588538 eta: 1 day, 9:59:40 batch_cost: 0.9087 data_cost: 0.0848 ips: 61.6285 images/s [03/17 16:59:47] ppdet.engine INFO: Epoch: [38] [320/523] learning_rate: 0.268998 loss_vfl: 1.317045 loss_bbox: 0.614262 loss_dfl: 0.468040 loss: 2.386267 eta: 1 day, 9:59:34 batch_cost: 0.9844 data_cost: 0.2639 ips: 56.8859 images/s [03/17 17:00:07] ppdet.engine INFO: Epoch: [38] [340/523] learning_rate: 0.268976 loss_vfl: 1.353133 loss_bbox: 0.673482 loss_dfl: 0.511992 loss: 2.545626 eta: 1 day, 9:59:11 batch_cost: 0.8600 data_cost: 0.0063 ips: 65.1198 images/s [03/17 17:00:27] ppdet.engine INFO: Epoch: [38] [360/523] learning_rate: 0.268954 loss_vfl: 1.303264 loss_bbox: 0.609537 loss_dfl: 0.471706 loss: 2.387772 eta: 1 day, 9:58:47 batch_cost: 0.8472 data_cost: 0.0050 ips: 66.0993 images/s [03/17 17:00:46] ppdet.engine INFO: Epoch: [38] [380/523] learning_rate: 0.268932 loss_vfl: 1.299062 loss_bbox: 0.657608 loss_dfl: 0.489552 loss: 2.415912 eta: 1 day, 9:58:11 batch_cost: 0.7612 data_cost: 0.0021 ips: 73.5669 images/s [03/17 17:01:09] ppdet.engine INFO: Epoch: [38] [400/523] learning_rate: 0.268910 loss_vfl: 1.275135 loss_bbox: 0.631936 loss_dfl: 0.466058 loss: 2.378824 eta: 1 day, 9:58:08 batch_cost: 1.0049 data_cost: 0.0466 ips: 55.7279 images/s [03/17 17:01:30] ppdet.engine INFO: Epoch: [38] [420/523] learning_rate: 0.268888 loss_vfl: 1.290227 loss_bbox: 0.596695 loss_dfl: 0.466361 loss: 2.349056 eta: 1 day, 9:57:46 batch_cost: 0.8628 data_cost: 0.0003 ips: 64.9049 images/s [03/17 17:01:53] ppdet.engine INFO: Epoch: [38] [440/523] learning_rate: 0.268866 loss_vfl: 1.334791 loss_bbox: 0.657336 loss_dfl: 0.484715 loss: 2.461571 eta: 1 day, 9:57:37 batch_cost: 0.9641 data_cost: 0.1559 ips: 58.0858 images/s [03/17 17:02:13] ppdet.engine INFO: Epoch: [38] [460/523] learning_rate: 0.268844 loss_vfl: 1.321577 loss_bbox: 0.607261 loss_dfl: 0.471390 loss: 2.451164 eta: 1 day, 9:57:04 batch_cost: 0.7805 data_cost: 0.0032 ips: 71.7488 images/s [03/17 17:02:35] ppdet.engine INFO: Epoch: [38] [480/523] learning_rate: 0.268822 loss_vfl: 1.346912 loss_bbox: 0.631270 loss_dfl: 0.490049 loss: 2.469740 eta: 1 day, 9:56:59 batch_cost: 0.9921 data_cost: 0.0058 ips: 56.4466 images/s [03/17 17:02:53] ppdet.engine INFO: Epoch: [38] [500/523] learning_rate: 0.268800 loss_vfl: 1.318662 loss_bbox: 0.631775 loss_dfl: 0.472711 loss: 2.385519 eta: 1 day, 9:56:23 batch_cost: 0.7625 data_cost: 0.0063 ips: 73.4401 images/s [03/17 17:03:07] ppdet.engine INFO: Epoch: [38] [520/523] learning_rate: 0.268778 loss_vfl: 1.327221 loss_bbox: 0.609514 loss_dfl: 0.461493 loss: 2.373771 eta: 1 day, 9:55:23 batch_cost: 0.5769 data_cost: 0.0027 ips: 97.0711 images/s [03/17 17:03:17] ppdet.engine INFO: Epoch: [39] [ 0/523] learning_rate: 0.268775 loss_vfl: 1.323076 loss_bbox: 0.597792 loss_dfl: 0.461493 loss: 2.361436 eta: 1 day, 9:56:05 batch_cost: 0.9401 data_cost: 0.3480 ips: 59.5653 images/s [03/17 17:03:38] ppdet.engine INFO: Epoch: [39] [ 20/523] learning_rate: 0.268753 loss_vfl: 1.295034 loss_bbox: 0.632437 loss_dfl: 0.479071 loss: 2.445743 eta: 1 day, 9:55:42 batch_cost: 0.8531 data_cost: 0.0048 ips: 65.6400 images/s [03/17 17:03:59] ppdet.engine INFO: Epoch: [39] [ 40/523] learning_rate: 0.268731 loss_vfl: 1.287136 loss_bbox: 0.653376 loss_dfl: 0.485570 loss: 2.432815 eta: 1 day, 9:55:21 batch_cost: 0.8721 data_cost: 0.0085 ips: 64.2139 images/s [03/17 17:04:21] ppdet.engine INFO: Epoch: [39] [ 60/523] learning_rate: 0.268709 loss_vfl: 1.386482 loss_bbox: 0.650218 loss_dfl: 0.506632 loss: 2.550844 eta: 1 day, 9:55:14 batch_cost: 0.9806 data_cost: 0.0891 ips: 57.1100 images/s [03/17 17:04:41] ppdet.engine INFO: Epoch: [39] [ 80/523] learning_rate: 0.268687 loss_vfl: 1.211726 loss_bbox: 0.594741 loss_dfl: 0.440076 loss: 2.237133 eta: 1 day, 9:54:56 batch_cost: 0.8896 data_cost: 0.0093 ips: 62.9476 images/s [03/17 17:05:02] ppdet.engine INFO: Epoch: [39] [100/523] learning_rate: 0.268665 loss_vfl: 1.342535 loss_bbox: 0.629912 loss_dfl: 0.468878 loss: 2.423946 eta: 1 day, 9:54:39 batch_cost: 0.9035 data_cost: 0.0080 ips: 61.9804 images/s [03/17 17:05:23] ppdet.engine INFO: Epoch: [39] [120/523] learning_rate: 0.268642 loss_vfl: 1.306860 loss_bbox: 0.619201 loss_dfl: 0.476700 loss: 2.395567 eta: 1 day, 9:54:15 batch_cost: 0.8514 data_cost: 0.0030 ips: 65.7707 images/s [03/17 17:05:43] ppdet.engine INFO: Epoch: [39] [140/523] learning_rate: 0.268620 loss_vfl: 1.246759 loss_bbox: 0.612093 loss_dfl: 0.457779 loss: 2.283835 eta: 1 day, 9:53:34 batch_cost: 0.7222 data_cost: 0.0035 ips: 77.5372 images/s [03/17 17:06:03] ppdet.engine INFO: Epoch: [39] [160/523] learning_rate: 0.268598 loss_vfl: 1.338784 loss_bbox: 0.637214 loss_dfl: 0.492211 loss: 2.497611 eta: 1 day, 9:53:07 batch_cost: 0.8251 data_cost: 0.0047 ips: 67.8731 images/s [03/17 17:06:25] ppdet.engine INFO: Epoch: [39] [180/523] learning_rate: 0.268576 loss_vfl: 1.305034 loss_bbox: 0.605498 loss_dfl: 0.465440 loss: 2.369746 eta: 1 day, 9:52:55 batch_cost: 0.9368 data_cost: 0.1041 ips: 59.7769 images/s [03/17 17:06:46] ppdet.engine INFO: Epoch: [39] [200/523] learning_rate: 0.268554 loss_vfl: 1.246165 loss_bbox: 0.597230 loss_dfl: 0.458251 loss: 2.306499 eta: 1 day, 9:52:34 batch_cost: 0.8750 data_cost: 0.0624 ips: 64.0021 images/s [03/17 17:07:07] ppdet.engine INFO: Epoch: [39] [220/523] learning_rate: 0.268531 loss_vfl: 1.310485 loss_bbox: 0.652887 loss_dfl: 0.476893 loss: 2.444886 eta: 1 day, 9:52:18 batch_cost: 0.9063 data_cost: 0.0345 ips: 61.7884 images/s [03/17 17:07:26] ppdet.engine INFO: Epoch: [39] [240/523] learning_rate: 0.268509 loss_vfl: 1.307886 loss_bbox: 0.590451 loss_dfl: 0.453914 loss: 2.372293 eta: 1 day, 9:51:45 batch_cost: 0.7795 data_cost: 0.0368 ips: 71.8409 images/s [03/17 17:07:47] ppdet.engine INFO: Epoch: [39] [260/523] learning_rate: 0.268487 loss_vfl: 1.371761 loss_bbox: 0.635701 loss_dfl: 0.487479 loss: 2.500439 eta: 1 day, 9:51:27 batch_cost: 0.8927 data_cost: 0.0773 ips: 62.7279 images/s [03/17 17:08:04] ppdet.engine INFO: Epoch: [39] [280/523] learning_rate: 0.268464 loss_vfl: 1.285407 loss_bbox: 0.591249 loss_dfl: 0.448227 loss: 2.325142 eta: 1 day, 9:50:53 batch_cost: 0.7736 data_cost: 0.0023 ips: 72.3904 images/s [03/17 17:08:23] ppdet.engine INFO: Epoch: [39] [300/523] learning_rate: 0.268442 loss_vfl: 1.292731 loss_bbox: 0.655478 loss_dfl: 0.480663 loss: 2.432739 eta: 1 day, 9:50:28 batch_cost: 0.8443 data_cost: 0.0051 ips: 66.3280 images/s [03/17 17:08:40] ppdet.engine INFO: Epoch: [39] [320/523] learning_rate: 0.268420 loss_vfl: 1.332228 loss_bbox: 0.631662 loss_dfl: 0.483067 loss: 2.441517 eta: 1 day, 9:49:51 batch_cost: 0.7490 data_cost: 0.0408 ips: 74.7687 images/s [03/17 17:09:03] ppdet.engine INFO: Epoch: [39] [340/523] learning_rate: 0.268397 loss_vfl: 1.367151 loss_bbox: 0.653665 loss_dfl: 0.482830 loss: 2.473005 eta: 1 day, 9:49:49 batch_cost: 1.0115 data_cost: 0.0048 ips: 55.3637 images/s [03/17 17:09:25] ppdet.engine INFO: Epoch: [39] [360/523] learning_rate: 0.268375 loss_vfl: 1.323730 loss_bbox: 0.622795 loss_dfl: 0.473130 loss: 2.402509 eta: 1 day, 9:49:37 batch_cost: 0.9440 data_cost: 0.0096 ips: 59.3198 images/s [03/17 17:09:43] ppdet.engine INFO: Epoch: [39] [380/523] learning_rate: 0.268353 loss_vfl: 1.298589 loss_bbox: 0.617056 loss_dfl: 0.477798 loss: 2.415782 eta: 1 day, 9:49:10 batch_cost: 0.8227 data_cost: 0.0050 ips: 68.0704 images/s [03/17 17:10:06] ppdet.engine INFO: Epoch: [39] [400/523] learning_rate: 0.268330 loss_vfl: 1.324795 loss_bbox: 0.639952 loss_dfl: 0.485615 loss: 2.425022 eta: 1 day, 9:49:05 batch_cost: 0.9935 data_cost: 0.0090 ips: 56.3660 images/s [03/17 17:10:27] ppdet.engine INFO: Epoch: [39] [420/523] learning_rate: 0.268308 loss_vfl: 1.374522 loss_bbox: 0.662414 loss_dfl: 0.497636 loss: 2.553759 eta: 1 day, 9:48:50 batch_cost: 0.9165 data_cost: 0.0029 ips: 61.0992 images/s [03/17 17:10:47] ppdet.engine INFO: Epoch: [39] [440/523] learning_rate: 0.268285 loss_vfl: 1.393595 loss_bbox: 0.677102 loss_dfl: 0.496711 loss: 2.539958 eta: 1 day, 9:48:31 batch_cost: 0.8841 data_cost: 0.0075 ips: 63.3407 images/s [03/17 17:11:07] ppdet.engine INFO: Epoch: [39] [460/523] learning_rate: 0.268263 loss_vfl: 1.243484 loss_bbox: 0.613709 loss_dfl: 0.463253 loss: 2.306811 eta: 1 day, 9:48:10 batch_cost: 0.8726 data_cost: 0.0028 ips: 64.1738 images/s [03/17 17:11:28] ppdet.engine INFO: Epoch: [39] [480/523] learning_rate: 0.268240 loss_vfl: 1.403218 loss_bbox: 0.669699 loss_dfl: 0.504380 loss: 2.547184 eta: 1 day, 9:48:02 batch_cost: 0.9681 data_cost: 0.0031 ips: 57.8471 images/s [03/17 17:11:47] ppdet.engine INFO: Epoch: [39] [500/523] learning_rate: 0.268218 loss_vfl: 1.324076 loss_bbox: 0.629126 loss_dfl: 0.474415 loss: 2.416520 eta: 1 day, 9:47:34 batch_cost: 0.8173 data_cost: 0.0026 ips: 68.5161 images/s [03/17 17:12:06] ppdet.engine INFO: Epoch: [39] [520/523] learning_rate: 0.268195 loss_vfl: 1.249090 loss_bbox: 0.620258 loss_dfl: 0.463246 loss: 2.341370 eta: 1 day, 9:47:07 batch_cost: 0.8232 data_cost: 0.0061 ips: 68.0237 images/s [03/17 17:12:08] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 17:12:08] ppdet.engine INFO: Eval iter: 0 [03/17 17:12:31] ppdet.engine INFO: Eval iter: 100 [03/17 17:12:42] ppdet.engine INFO: Eval iter: 200 [03/17 17:12:52] ppdet.engine INFO: Eval iter: 300 [03/17 17:13:03] ppdet.engine INFO: Eval iter: 400 [03/17 17:13:14] ppdet.engine INFO: Eval iter: 500 [03/17 17:13:25] ppdet.engine INFO: Eval iter: 600 [03/17 17:13:40] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.59s) creating index... index created! [03/17 17:13:40] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.50s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=84.35s). Accumulating evaluation results... DONE (t=16.42s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.187 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.298 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.195 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.066 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.174 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.318 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 ] = 0.349 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 ] = 0.123 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.399 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.602 [03/17 17:15:27] ppdet.engine INFO: Total sample number: 4952, averge FPS: 62.2027848505459 [03/17 17:15:27] ppdet.engine INFO: Best test bbox ap is 0.187. [03/17 17:15:28] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 17:15:28] ppdet.engine INFO: Epoch: [40] [ 0/523] learning_rate: 0.268192 loss_vfl: 1.281602 loss_bbox: 0.630716 loss_dfl: 0.481558 loss: 2.437397 eta: 1 day, 9:46:52 batch_cost: 0.7393 data_cost: 0.0054 ips: 75.7473 images/s [03/17 17:15:44] ppdet.engine INFO: Epoch: [40] [ 20/523] learning_rate: 0.268169 loss_vfl: 1.326449 loss_bbox: 0.653673 loss_dfl: 0.476964 loss: 2.428105 eta: 1 day, 9:46:06 batch_cost: 0.6735 data_cost: 0.0023 ips: 83.1512 images/s [03/17 17:16:06] ppdet.engine INFO: Epoch: [40] [ 40/523] learning_rate: 0.268146 loss_vfl: 1.374501 loss_bbox: 0.648538 loss_dfl: 0.492221 loss: 2.497339 eta: 1 day, 9:45:55 batch_cost: 0.9492 data_cost: 0.0745 ips: 58.9950 images/s [03/17 17:16:28] ppdet.engine INFO: Epoch: [40] [ 60/523] learning_rate: 0.268124 loss_vfl: 1.313985 loss_bbox: 0.636618 loss_dfl: 0.469507 loss: 2.407768 eta: 1 day, 9:45:53 batch_cost: 1.0151 data_cost: 0.1882 ips: 55.1654 images/s [03/17 17:16:48] ppdet.engine INFO: Epoch: [40] [ 80/523] learning_rate: 0.268101 loss_vfl: 1.365378 loss_bbox: 0.642317 loss_dfl: 0.488704 loss: 2.509987 eta: 1 day, 9:45:22 batch_cost: 0.7962 data_cost: 0.0028 ips: 70.3302 images/s [03/17 17:17:07] ppdet.engine INFO: Epoch: [40] [100/523] learning_rate: 0.268078 loss_vfl: 1.274603 loss_bbox: 0.648456 loss_dfl: 0.480145 loss: 2.420340 eta: 1 day, 9:44:49 batch_cost: 0.7789 data_cost: 0.0049 ips: 71.8943 images/s [03/17 17:17:24] ppdet.engine INFO: Epoch: [40] [120/523] learning_rate: 0.268056 loss_vfl: 1.277291 loss_bbox: 0.640586 loss_dfl: 0.482165 loss: 2.395672 eta: 1 day, 9:44:12 batch_cost: 0.7453 data_cost: 0.0084 ips: 75.1356 images/s [03/17 17:17:42] ppdet.engine INFO: Epoch: [40] [140/523] learning_rate: 0.268033 loss_vfl: 1.329266 loss_bbox: 0.657769 loss_dfl: 0.484061 loss: 2.442831 eta: 1 day, 9:43:41 batch_cost: 0.7863 data_cost: 0.0034 ips: 71.2182 images/s [03/17 17:18:04] ppdet.engine INFO: Epoch: [40] [160/523] learning_rate: 0.268010 loss_vfl: 1.320798 loss_bbox: 0.639575 loss_dfl: 0.472754 loss: 2.452559 eta: 1 day, 9:43:29 batch_cost: 0.9463 data_cost: 0.0053 ips: 59.1767 images/s [03/17 17:18:26] ppdet.engine INFO: Epoch: [40] [180/523] learning_rate: 0.267988 loss_vfl: 1.357611 loss_bbox: 0.650870 loss_dfl: 0.499171 loss: 2.489884 eta: 1 day, 9:43:20 batch_cost: 0.9607 data_cost: 0.0132 ips: 58.2889 images/s [03/17 17:18:46] ppdet.engine INFO: Epoch: [40] [200/523] learning_rate: 0.267965 loss_vfl: 1.303053 loss_bbox: 0.608872 loss_dfl: 0.472130 loss: 2.379580 eta: 1 day, 9:43:03 batch_cost: 0.8986 data_cost: 0.0029 ips: 62.3172 images/s [03/17 17:19:10] ppdet.engine INFO: Epoch: [40] [220/523] learning_rate: 0.267942 loss_vfl: 1.389350 loss_bbox: 0.666334 loss_dfl: 0.494235 loss: 2.578757 eta: 1 day, 9:43:06 batch_cost: 1.0559 data_cost: 0.0064 ips: 53.0371 images/s [03/17 17:19:30] ppdet.engine INFO: Epoch: [40] [240/523] learning_rate: 0.267919 loss_vfl: 1.330639 loss_bbox: 0.640538 loss_dfl: 0.468616 loss: 2.420065 eta: 1 day, 9:42:45 batch_cost: 0.8693 data_cost: 0.0031 ips: 64.4174 images/s [03/17 17:19:50] ppdet.engine INFO: Epoch: [40] [260/523] learning_rate: 0.267896 loss_vfl: 1.337322 loss_bbox: 0.626102 loss_dfl: 0.480801 loss: 2.449526 eta: 1 day, 9:42:21 batch_cost: 0.8507 data_cost: 0.0046 ips: 65.8282 images/s [03/17 17:20:10] ppdet.engine INFO: Epoch: [40] [280/523] learning_rate: 0.267874 loss_vfl: 1.259274 loss_bbox: 0.627337 loss_dfl: 0.475044 loss: 2.357712 eta: 1 day, 9:42:03 batch_cost: 0.8881 data_cost: 0.0112 ips: 63.0562 images/s [03/17 17:20:32] ppdet.engine INFO: Epoch: [40] [300/523] learning_rate: 0.267851 loss_vfl: 1.352381 loss_bbox: 0.640327 loss_dfl: 0.496439 loss: 2.484907 eta: 1 day, 9:41:45 batch_cost: 0.8953 data_cost: 0.0039 ips: 62.5500 images/s [03/17 17:20:52] ppdet.engine INFO: Epoch: [40] [320/523] learning_rate: 0.267828 loss_vfl: 1.336705 loss_bbox: 0.630629 loss_dfl: 0.477829 loss: 2.430501 eta: 1 day, 9:41:21 batch_cost: 0.8489 data_cost: 0.0023 ips: 65.9703 images/s [03/17 17:21:14] ppdet.engine INFO: Epoch: [40] [340/523] learning_rate: 0.267805 loss_vfl: 1.277741 loss_bbox: 0.631079 loss_dfl: 0.469519 loss: 2.358001 eta: 1 day, 9:41:08 batch_cost: 0.9312 data_cost: 0.0073 ips: 60.1398 images/s [03/17 17:21:34] ppdet.engine INFO: Epoch: [40] [360/523] learning_rate: 0.267782 loss_vfl: 1.321316 loss_bbox: 0.645383 loss_dfl: 0.480428 loss: 2.461598 eta: 1 day, 9:40:54 batch_cost: 0.9258 data_cost: 0.0049 ips: 60.4876 images/s [03/17 17:21:54] ppdet.engine INFO: Epoch: [40] [380/523] learning_rate: 0.267759 loss_vfl: 1.286692 loss_bbox: 0.636266 loss_dfl: 0.482620 loss: 2.400106 eta: 1 day, 9:40:27 batch_cost: 0.8178 data_cost: 0.0024 ips: 68.4742 images/s [03/17 17:22:12] ppdet.engine INFO: Epoch: [40] [400/523] learning_rate: 0.267736 loss_vfl: 1.344149 loss_bbox: 0.664079 loss_dfl: 0.495199 loss: 2.503874 eta: 1 day, 9:39:59 batch_cost: 0.8135 data_cost: 0.0030 ips: 68.8358 images/s [03/17 17:22:30] ppdet.engine INFO: Epoch: [40] [420/523] learning_rate: 0.267713 loss_vfl: 1.399860 loss_bbox: 0.706408 loss_dfl: 0.519682 loss: 2.636621 eta: 1 day, 9:39:30 batch_cost: 0.8066 data_cost: 0.0017 ips: 69.4232 images/s [03/17 17:22:49] ppdet.engine INFO: Epoch: [40] [440/523] learning_rate: 0.267690 loss_vfl: 1.218702 loss_bbox: 0.588811 loss_dfl: 0.437897 loss: 2.262469 eta: 1 day, 9:39:02 batch_cost: 0.8203 data_cost: 0.0034 ips: 68.2670 images/s [03/17 17:23:10] ppdet.engine INFO: Epoch: [40] [460/523] learning_rate: 0.267667 loss_vfl: 1.323365 loss_bbox: 0.640739 loss_dfl: 0.498847 loss: 2.464653 eta: 1 day, 9:38:35 batch_cost: 0.8205 data_cost: 0.0025 ips: 68.2535 images/s [03/17 17:23:32] ppdet.engine INFO: Epoch: [40] [480/523] learning_rate: 0.267644 loss_vfl: 1.310367 loss_bbox: 0.649395 loss_dfl: 0.480738 loss: 2.423031 eta: 1 day, 9:38:29 batch_cost: 0.9858 data_cost: 0.0054 ips: 56.8045 images/s [03/17 17:23:52] ppdet.engine INFO: Epoch: [40] [500/523] learning_rate: 0.267621 loss_vfl: 1.338434 loss_bbox: 0.627520 loss_dfl: 0.470964 loss: 2.422839 eta: 1 day, 9:38:07 batch_cost: 0.8589 data_cost: 0.0046 ips: 65.2001 images/s [03/17 17:24:10] ppdet.engine INFO: Epoch: [40] [520/523] learning_rate: 0.267598 loss_vfl: 1.425775 loss_bbox: 0.681922 loss_dfl: 0.511750 loss: 2.584660 eta: 1 day, 9:37:36 batch_cost: 0.7939 data_cost: 0.0028 ips: 70.5394 images/s [03/17 17:24:22] ppdet.engine INFO: Epoch: [41] [ 0/523] learning_rate: 0.267594 loss_vfl: 1.425775 loss_bbox: 0.681922 loss_dfl: 0.511750 loss: 2.584660 eta: 1 day, 9:38:26 batch_cost: 1.2427 data_cost: 0.3999 ips: 45.0647 images/s [03/17 17:24:43] ppdet.engine INFO: Epoch: [41] [ 20/523] learning_rate: 0.267571 loss_vfl: 1.353609 loss_bbox: 0.636635 loss_dfl: 0.482221 loss: 2.460389 eta: 1 day, 9:38:03 batch_cost: 0.8525 data_cost: 0.0044 ips: 65.6872 images/s [03/17 17:25:05] ppdet.engine INFO: Epoch: [41] [ 40/523] learning_rate: 0.267548 loss_vfl: 1.269155 loss_bbox: 0.601522 loss_dfl: 0.457305 loss: 2.346932 eta: 1 day, 9:37:50 batch_cost: 0.9359 data_cost: 0.0034 ips: 59.8360 images/s [03/17 17:25:25] ppdet.engine INFO: Epoch: [41] [ 60/523] learning_rate: 0.267525 loss_vfl: 1.321127 loss_bbox: 0.646594 loss_dfl: 0.487888 loss: 2.480335 eta: 1 day, 9:37:26 batch_cost: 0.8444 data_cost: 0.1482 ips: 66.3173 images/s [03/17 17:25:45] ppdet.engine INFO: Epoch: [41] [ 80/523] learning_rate: 0.267502 loss_vfl: 1.318764 loss_bbox: 0.651395 loss_dfl: 0.488350 loss: 2.491122 eta: 1 day, 9:37:09 batch_cost: 0.8972 data_cost: 0.0051 ips: 62.4139 images/s [03/17 17:26:06] ppdet.engine INFO: Epoch: [41] [100/523] learning_rate: 0.267478 loss_vfl: 1.313214 loss_bbox: 0.614296 loss_dfl: 0.465114 loss: 2.378455 eta: 1 day, 9:36:48 batch_cost: 0.8698 data_cost: 0.0054 ips: 64.3810 images/s [03/17 17:26:25] ppdet.engine INFO: Epoch: [41] [120/523] learning_rate: 0.267455 loss_vfl: 1.297125 loss_bbox: 0.612474 loss_dfl: 0.462316 loss: 2.366817 eta: 1 day, 9:36:21 batch_cost: 0.8222 data_cost: 0.0021 ips: 68.1058 images/s [03/17 17:26:46] ppdet.engine INFO: Epoch: [41] [140/523] learning_rate: 0.267432 loss_vfl: 1.309880 loss_bbox: 0.619372 loss_dfl: 0.482582 loss: 2.454307 eta: 1 day, 9:36:04 batch_cost: 0.9004 data_cost: 0.0011 ips: 62.1959 images/s [03/17 17:27:07] ppdet.engine INFO: Epoch: [41] [160/523] learning_rate: 0.267409 loss_vfl: 1.380775 loss_bbox: 0.667389 loss_dfl: 0.508736 loss: 2.552843 eta: 1 day, 9:35:50 batch_cost: 0.9255 data_cost: 0.0727 ips: 60.5109 images/s [03/17 17:27:24] ppdet.engine INFO: Epoch: [41] [180/523] learning_rate: 0.267385 loss_vfl: 1.303700 loss_bbox: 0.641569 loss_dfl: 0.470850 loss: 2.382671 eta: 1 day, 9:35:07 batch_cost: 0.6936 data_cost: 0.0049 ips: 80.7333 images/s [03/17 17:27:43] ppdet.engine INFO: Epoch: [41] [200/523] learning_rate: 0.267362 loss_vfl: 1.282567 loss_bbox: 0.623260 loss_dfl: 0.458236 loss: 2.344748 eta: 1 day, 9:34:34 batch_cost: 0.7748 data_cost: 0.0155 ips: 72.2787 images/s [03/17 17:28:04] ppdet.engine INFO: Epoch: [41] [220/523] learning_rate: 0.267339 loss_vfl: 1.340466 loss_bbox: 0.638246 loss_dfl: 0.487537 loss: 2.467196 eta: 1 day, 9:34:15 batch_cost: 0.8822 data_cost: 0.0037 ips: 63.4753 images/s [03/17 17:28:26] ppdet.engine INFO: Epoch: [41] [240/523] learning_rate: 0.267315 loss_vfl: 1.324196 loss_bbox: 0.631035 loss_dfl: 0.478244 loss: 2.434929 eta: 1 day, 9:34:00 batch_cost: 0.9177 data_cost: 0.0054 ips: 61.0196 images/s [03/17 17:28:45] ppdet.engine INFO: Epoch: [41] [260/523] learning_rate: 0.267292 loss_vfl: 1.312639 loss_bbox: 0.652125 loss_dfl: 0.480113 loss: 2.439935 eta: 1 day, 9:33:43 batch_cost: 0.8990 data_cost: 0.0065 ips: 62.2886 images/s [03/17 17:29:05] ppdet.engine INFO: Epoch: [41] [280/523] learning_rate: 0.267268 loss_vfl: 1.258859 loss_bbox: 0.589294 loss_dfl: 0.454366 loss: 2.267715 eta: 1 day, 9:33:21 batch_cost: 0.8650 data_cost: 0.0083 ips: 64.7400 images/s [03/17 17:29:27] ppdet.engine INFO: Epoch: [41] [300/523] learning_rate: 0.267245 loss_vfl: 1.271244 loss_bbox: 0.597666 loss_dfl: 0.440970 loss: 2.268348 eta: 1 day, 9:33:08 batch_cost: 0.9259 data_cost: 0.0073 ips: 60.4815 images/s [03/17 17:29:47] ppdet.engine INFO: Epoch: [41] [320/523] learning_rate: 0.267222 loss_vfl: 1.340423 loss_bbox: 0.648745 loss_dfl: 0.484741 loss: 2.495312 eta: 1 day, 9:32:47 batch_cost: 0.8703 data_cost: 0.0021 ips: 64.3469 images/s [03/17 17:30:08] ppdet.engine INFO: Epoch: [41] [340/523] learning_rate: 0.267198 loss_vfl: 1.300958 loss_bbox: 0.625892 loss_dfl: 0.482054 loss: 2.441467 eta: 1 day, 9:32:28 batch_cost: 0.8857 data_cost: 0.0061 ips: 63.2302 images/s [03/17 17:30:27] ppdet.engine INFO: Epoch: [41] [360/523] learning_rate: 0.267175 loss_vfl: 1.286419 loss_bbox: 0.623626 loss_dfl: 0.456977 loss: 2.391881 eta: 1 day, 9:32:06 batch_cost: 0.8591 data_cost: 0.0011 ips: 65.1842 images/s [03/17 17:30:49] ppdet.engine INFO: Epoch: [41] [380/523] learning_rate: 0.267151 loss_vfl: 1.348223 loss_bbox: 0.677992 loss_dfl: 0.502861 loss: 2.520969 eta: 1 day, 9:31:47 batch_cost: 0.8879 data_cost: 0.0092 ips: 63.0694 images/s [03/17 17:31:10] ppdet.engine INFO: Epoch: [41] [400/523] learning_rate: 0.267128 loss_vfl: 1.271073 loss_bbox: 0.589916 loss_dfl: 0.450658 loss: 2.305174 eta: 1 day, 9:31:34 batch_cost: 0.9328 data_cost: 0.0057 ips: 60.0342 images/s [03/17 17:31:30] ppdet.engine INFO: Epoch: [41] [420/523] learning_rate: 0.267104 loss_vfl: 1.373346 loss_bbox: 0.644915 loss_dfl: 0.491603 loss: 2.523391 eta: 1 day, 9:31:12 batch_cost: 0.8579 data_cost: 0.0023 ips: 65.2779 images/s [03/17 17:31:50] ppdet.engine INFO: Epoch: [41] [440/523] learning_rate: 0.267081 loss_vfl: 1.321653 loss_bbox: 0.598092 loss_dfl: 0.470709 loss: 2.376115 eta: 1 day, 9:30:50 batch_cost: 0.8609 data_cost: 0.0032 ips: 65.0505 images/s [03/17 17:32:08] ppdet.engine INFO: Epoch: [41] [460/523] learning_rate: 0.267057 loss_vfl: 1.307506 loss_bbox: 0.644414 loss_dfl: 0.480972 loss: 2.406795 eta: 1 day, 9:30:15 batch_cost: 0.7572 data_cost: 0.0036 ips: 73.9544 images/s [03/17 17:32:27] ppdet.engine INFO: Epoch: [41] [480/523] learning_rate: 0.267033 loss_vfl: 1.365921 loss_bbox: 0.637222 loss_dfl: 0.492078 loss: 2.556373 eta: 1 day, 9:29:51 batch_cost: 0.8400 data_cost: 0.0099 ips: 66.6681 images/s [03/17 17:32:45] ppdet.engine INFO: Epoch: [41] [500/523] learning_rate: 0.267010 loss_vfl: 1.267226 loss_bbox: 0.620544 loss_dfl: 0.471800 loss: 2.392545 eta: 1 day, 9:29:18 batch_cost: 0.7745 data_cost: 0.0028 ips: 72.3077 images/s [03/17 17:33:01] ppdet.engine INFO: Epoch: [41] [520/523] learning_rate: 0.266986 loss_vfl: 1.348950 loss_bbox: 0.644798 loss_dfl: 0.492457 loss: 2.493905 eta: 1 day, 9:28:33 batch_cost: 0.6666 data_cost: 0.0004 ips: 84.0062 images/s [03/17 17:33:12] ppdet.engine INFO: Epoch: [42] [ 0/523] learning_rate: 0.266983 loss_vfl: 1.348950 loss_bbox: 0.640080 loss_dfl: 0.492457 loss: 2.478626 eta: 1 day, 9:29:19 batch_cost: 1.0935 data_cost: 0.2839 ips: 51.2124 images/s [03/17 17:33:34] ppdet.engine INFO: Epoch: [42] [ 20/523] learning_rate: 0.266959 loss_vfl: 1.246477 loss_bbox: 0.614885 loss_dfl: 0.455328 loss: 2.290709 eta: 1 day, 9:28:59 batch_cost: 0.8762 data_cost: 0.0031 ips: 63.9145 images/s [03/17 17:33:53] ppdet.engine INFO: Epoch: [42] [ 40/523] learning_rate: 0.266935 loss_vfl: 1.286486 loss_bbox: 0.625388 loss_dfl: 0.473923 loss: 2.369043 eta: 1 day, 9:28:27 batch_cost: 0.7836 data_cost: 0.0102 ips: 71.4654 images/s [03/17 17:34:15] ppdet.engine INFO: Epoch: [42] [ 60/523] learning_rate: 0.266912 loss_vfl: 1.335564 loss_bbox: 0.641777 loss_dfl: 0.489587 loss: 2.482257 eta: 1 day, 9:28:01 batch_cost: 0.8235 data_cost: 0.0011 ips: 68.0006 images/s [03/17 17:34:36] ppdet.engine INFO: Epoch: [42] [ 80/523] learning_rate: 0.266888 loss_vfl: 1.365326 loss_bbox: 0.671229 loss_dfl: 0.488407 loss: 2.535798 eta: 1 day, 9:27:42 batch_cost: 0.8850 data_cost: 0.0171 ips: 63.2800 images/s [03/17 17:34:56] ppdet.engine INFO: Epoch: [42] [100/523] learning_rate: 0.266864 loss_vfl: 1.275858 loss_bbox: 0.628041 loss_dfl: 0.463629 loss: 2.373058 eta: 1 day, 9:27:22 batch_cost: 0.8740 data_cost: 0.0047 ips: 64.0742 images/s [03/17 17:35:16] ppdet.engine INFO: Epoch: [42] [120/523] learning_rate: 0.266840 loss_vfl: 1.300619 loss_bbox: 0.632530 loss_dfl: 0.472440 loss: 2.430477 eta: 1 day, 9:26:57 batch_cost: 0.8348 data_cost: 0.0047 ips: 67.0814 images/s [03/17 17:35:36] ppdet.engine INFO: Epoch: [42] [140/523] learning_rate: 0.266817 loss_vfl: 1.335100 loss_bbox: 0.642336 loss_dfl: 0.485902 loss: 2.469773 eta: 1 day, 9:26:34 batch_cost: 0.8558 data_cost: 0.0095 ips: 65.4347 images/s [03/17 17:35:56] ppdet.engine INFO: Epoch: [42] [160/523] learning_rate: 0.266793 loss_vfl: 1.329890 loss_bbox: 0.629581 loss_dfl: 0.483642 loss: 2.458195 eta: 1 day, 9:26:11 batch_cost: 0.8508 data_cost: 0.0065 ips: 65.8240 images/s [03/17 17:36:19] ppdet.engine INFO: Epoch: [42] [180/523] learning_rate: 0.266769 loss_vfl: 1.319970 loss_bbox: 0.633295 loss_dfl: 0.473138 loss: 2.425867 eta: 1 day, 9:26:11 batch_cost: 1.0354 data_cost: 0.0413 ips: 54.0861 images/s [03/17 17:36:39] ppdet.engine INFO: Epoch: [42] [200/523] learning_rate: 0.266745 loss_vfl: 1.206504 loss_bbox: 0.579326 loss_dfl: 0.445281 loss: 2.251320 eta: 1 day, 9:25:45 batch_cost: 0.8287 data_cost: 0.0025 ips: 67.5726 images/s [03/17 17:36:59] ppdet.engine INFO: Epoch: [42] [220/523] learning_rate: 0.266721 loss_vfl: 1.331912 loss_bbox: 0.662812 loss_dfl: 0.496085 loss: 2.457503 eta: 1 day, 9:25:25 batch_cost: 0.8720 data_cost: 0.0026 ips: 64.2183 images/s [03/17 17:37:16] ppdet.engine INFO: Epoch: [42] [240/523] learning_rate: 0.266697 loss_vfl: 1.278037 loss_bbox: 0.604051 loss_dfl: 0.468261 loss: 2.350266 eta: 1 day, 9:24:38 batch_cost: 0.6595 data_cost: 0.0022 ips: 84.9145 images/s [03/17 17:37:34] ppdet.engine INFO: Epoch: [42] [260/523] learning_rate: 0.266673 loss_vfl: 1.283345 loss_bbox: 0.617638 loss_dfl: 0.458743 loss: 2.357381 eta: 1 day, 9:24:07 batch_cost: 0.7836 data_cost: 0.0066 ips: 71.4661 images/s [03/17 17:37:55] ppdet.engine INFO: Epoch: [42] [280/523] learning_rate: 0.266649 loss_vfl: 1.242600 loss_bbox: 0.625314 loss_dfl: 0.464531 loss: 2.359529 eta: 1 day, 9:23:50 batch_cost: 0.9002 data_cost: 0.0055 ips: 62.2052 images/s [03/17 17:38:16] ppdet.engine INFO: Epoch: [42] [300/523] learning_rate: 0.266626 loss_vfl: 1.283082 loss_bbox: 0.582336 loss_dfl: 0.434976 loss: 2.328228 eta: 1 day, 9:23:39 batch_cost: 0.9456 data_cost: 0.0093 ips: 59.2205 images/s [03/17 17:38:36] ppdet.engine INFO: Epoch: [42] [320/523] learning_rate: 0.266602 loss_vfl: 1.332020 loss_bbox: 0.638108 loss_dfl: 0.474171 loss: 2.426473 eta: 1 day, 9:23:09 batch_cost: 0.7918 data_cost: 0.0059 ips: 70.7261 images/s [03/17 17:38:56] ppdet.engine INFO: Epoch: [42] [340/523] learning_rate: 0.266578 loss_vfl: 1.294140 loss_bbox: 0.625707 loss_dfl: 0.470784 loss: 2.360235 eta: 1 day, 9:22:40 batch_cost: 0.8056 data_cost: 0.0086 ips: 69.5121 images/s [03/17 17:39:18] ppdet.engine INFO: Epoch: [42] [360/523] learning_rate: 0.266554 loss_vfl: 1.329053 loss_bbox: 0.628338 loss_dfl: 0.466298 loss: 2.391508 eta: 1 day, 9:22:32 batch_cost: 0.9709 data_cost: 0.0047 ips: 57.6800 images/s [03/17 17:39:37] ppdet.engine INFO: Epoch: [42] [380/523] learning_rate: 0.266530 loss_vfl: 1.285939 loss_bbox: 0.595292 loss_dfl: 0.469833 loss: 2.418756 eta: 1 day, 9:22:04 batch_cost: 0.8096 data_cost: 0.0049 ips: 69.1695 images/s [03/17 17:39:58] ppdet.engine INFO: Epoch: [42] [400/523] learning_rate: 0.266505 loss_vfl: 1.327989 loss_bbox: 0.627201 loss_dfl: 0.472005 loss: 2.447733 eta: 1 day, 9:21:39 batch_cost: 0.8334 data_cost: 0.0091 ips: 67.1907 images/s [03/17 17:40:20] ppdet.engine INFO: Epoch: [42] [420/523] learning_rate: 0.266481 loss_vfl: 1.327234 loss_bbox: 0.617463 loss_dfl: 0.474811 loss: 2.412805 eta: 1 day, 9:21:27 batch_cost: 0.9444 data_cost: 0.0076 ips: 59.2948 images/s [03/17 17:40:40] ppdet.engine INFO: Epoch: [42] [440/523] learning_rate: 0.266457 loss_vfl: 1.332888 loss_bbox: 0.647479 loss_dfl: 0.487439 loss: 2.502320 eta: 1 day, 9:21:13 batch_cost: 0.9223 data_cost: 0.0026 ips: 60.7181 images/s [03/17 17:40:59] ppdet.engine INFO: Epoch: [42] [460/523] learning_rate: 0.266433 loss_vfl: 1.352070 loss_bbox: 0.669470 loss_dfl: 0.497126 loss: 2.511777 eta: 1 day, 9:20:47 batch_cost: 0.8210 data_cost: 0.0039 ips: 68.2121 images/s [03/17 17:41:19] ppdet.engine INFO: Epoch: [42] [480/523] learning_rate: 0.266409 loss_vfl: 1.326580 loss_bbox: 0.661891 loss_dfl: 0.481218 loss: 2.482306 eta: 1 day, 9:20:25 batch_cost: 0.8579 data_cost: 0.0048 ips: 65.2738 images/s [03/17 17:41:41] ppdet.engine INFO: Epoch: [42] [500/523] learning_rate: 0.266385 loss_vfl: 1.252916 loss_bbox: 0.596394 loss_dfl: 0.456789 loss: 2.320074 eta: 1 day, 9:20:16 batch_cost: 0.9739 data_cost: 0.0092 ips: 57.5033 images/s [03/17 17:41:57] ppdet.engine INFO: Epoch: [42] [520/523] learning_rate: 0.266361 loss_vfl: 1.325256 loss_bbox: 0.653062 loss_dfl: 0.488293 loss: 2.462550 eta: 1 day, 9:19:34 batch_cost: 0.6864 data_cost: 0.0052 ips: 81.5808 images/s [03/17 17:42:09] ppdet.engine INFO: Epoch: [43] [ 0/523] learning_rate: 0.266357 loss_vfl: 1.325256 loss_bbox: 0.658126 loss_dfl: 0.488293 loss: 2.462550 eta: 1 day, 9:20:21 batch_cost: 1.1358 data_cost: 0.4672 ips: 49.3038 images/s [03/17 17:42:26] ppdet.engine INFO: Epoch: [43] [ 20/523] learning_rate: 0.266333 loss_vfl: 1.332932 loss_bbox: 0.630258 loss_dfl: 0.485117 loss: 2.446575 eta: 1 day, 9:19:46 batch_cost: 0.7530 data_cost: 0.0027 ips: 74.3729 images/s [03/17 17:42:46] ppdet.engine INFO: Epoch: [43] [ 40/523] learning_rate: 0.266309 loss_vfl: 1.326599 loss_bbox: 0.636731 loss_dfl: 0.486358 loss: 2.443255 eta: 1 day, 9:19:26 batch_cost: 0.8749 data_cost: 0.0026 ips: 64.0095 images/s [03/17 17:43:07] ppdet.engine INFO: Epoch: [43] [ 60/523] learning_rate: 0.266284 loss_vfl: 1.359719 loss_bbox: 0.609071 loss_dfl: 0.478353 loss: 2.414078 eta: 1 day, 9:19:11 batch_cost: 0.9128 data_cost: 0.0004 ips: 61.3496 images/s [03/17 17:43:29] ppdet.engine INFO: Epoch: [43] [ 80/523] learning_rate: 0.266260 loss_vfl: 1.290636 loss_bbox: 0.625949 loss_dfl: 0.476264 loss: 2.409092 eta: 1 day, 9:19:11 batch_cost: 1.0461 data_cost: 0.0068 ips: 53.5312 images/s [03/17 17:43:49] ppdet.engine INFO: Epoch: [43] [100/523] learning_rate: 0.266236 loss_vfl: 1.288519 loss_bbox: 0.625709 loss_dfl: 0.471977 loss: 2.386428 eta: 1 day, 9:18:51 batch_cost: 0.8715 data_cost: 0.0187 ips: 64.2538 images/s [03/17 17:44:11] ppdet.engine INFO: Epoch: [43] [120/523] learning_rate: 0.266212 loss_vfl: 1.259550 loss_bbox: 0.586823 loss_dfl: 0.446089 loss: 2.268348 eta: 1 day, 9:18:45 batch_cost: 0.9930 data_cost: 0.0044 ips: 56.3940 images/s [03/17 17:44:35] ppdet.engine INFO: Epoch: [43] [140/523] learning_rate: 0.266187 loss_vfl: 1.328669 loss_bbox: 0.643148 loss_dfl: 0.471984 loss: 2.442410 eta: 1 day, 9:18:50 batch_cost: 1.0874 data_cost: 0.0041 ips: 51.4969 images/s [03/17 17:44:55] ppdet.engine INFO: Epoch: [43] [160/523] learning_rate: 0.266163 loss_vfl: 1.306206 loss_bbox: 0.611286 loss_dfl: 0.457546 loss: 2.379086 eta: 1 day, 9:18:31 batch_cost: 0.8808 data_cost: 0.0037 ips: 63.5773 images/s [03/17 17:45:13] ppdet.engine INFO: Epoch: [43] [180/523] learning_rate: 0.266139 loss_vfl: 1.318223 loss_bbox: 0.617922 loss_dfl: 0.469938 loss: 2.397562 eta: 1 day, 9:18:02 batch_cost: 0.7975 data_cost: 0.0049 ips: 70.2207 images/s [03/17 17:45:35] ppdet.engine INFO: Epoch: [43] [200/523] learning_rate: 0.266114 loss_vfl: 1.337430 loss_bbox: 0.655980 loss_dfl: 0.494821 loss: 2.468052 eta: 1 day, 9:17:56 batch_cost: 0.9960 data_cost: 0.0045 ips: 56.2223 images/s [03/17 17:45:57] ppdet.engine INFO: Epoch: [43] [220/523] learning_rate: 0.266090 loss_vfl: 1.231248 loss_bbox: 0.602439 loss_dfl: 0.451833 loss: 2.308442 eta: 1 day, 9:17:48 batch_cost: 0.9778 data_cost: 0.0069 ips: 57.2717 images/s [03/17 17:46:18] ppdet.engine INFO: Epoch: [43] [240/523] learning_rate: 0.266065 loss_vfl: 1.345209 loss_bbox: 0.649895 loss_dfl: 0.486650 loss: 2.477628 eta: 1 day, 9:17:38 batch_cost: 0.9545 data_cost: 0.0022 ips: 58.6713 images/s [03/17 17:46:40] ppdet.engine INFO: Epoch: [43] [260/523] learning_rate: 0.266041 loss_vfl: 1.351409 loss_bbox: 0.628545 loss_dfl: 0.479472 loss: 2.464463 eta: 1 day, 9:17:27 batch_cost: 0.9549 data_cost: 0.0019 ips: 58.6461 images/s [03/17 17:46:59] ppdet.engine INFO: Epoch: [43] [280/523] learning_rate: 0.266016 loss_vfl: 1.292852 loss_bbox: 0.608431 loss_dfl: 0.461162 loss: 2.368819 eta: 1 day, 9:17:04 batch_cost: 0.8501 data_cost: 0.0123 ips: 65.8712 images/s [03/17 17:47:17] ppdet.engine INFO: Epoch: [43] [300/523] learning_rate: 0.265992 loss_vfl: 1.315749 loss_bbox: 0.650233 loss_dfl: 0.474996 loss: 2.456916 eta: 1 day, 9:16:38 batch_cost: 0.8207 data_cost: 0.0065 ips: 68.2349 images/s [03/17 17:47:35] ppdet.engine INFO: Epoch: [43] [320/523] learning_rate: 0.265968 loss_vfl: 1.341686 loss_bbox: 0.664494 loss_dfl: 0.504996 loss: 2.519905 eta: 1 day, 9:16:08 batch_cost: 0.7958 data_cost: 0.0027 ips: 70.3701 images/s [03/17 17:47:55] ppdet.engine INFO: Epoch: [43] [340/523] learning_rate: 0.265943 loss_vfl: 1.350705 loss_bbox: 0.647440 loss_dfl: 0.489071 loss: 2.482099 eta: 1 day, 9:15:40 batch_cost: 0.8093 data_cost: 0.0033 ips: 69.1930 images/s [03/17 17:48:16] ppdet.engine INFO: Epoch: [43] [360/523] learning_rate: 0.265918 loss_vfl: 1.300037 loss_bbox: 0.644525 loss_dfl: 0.472791 loss: 2.423147 eta: 1 day, 9:15:26 batch_cost: 0.9244 data_cost: 0.0029 ips: 60.5806 images/s [03/17 17:48:37] ppdet.engine INFO: Epoch: [43] [380/523] learning_rate: 0.265894 loss_vfl: 1.285683 loss_bbox: 0.598523 loss_dfl: 0.460728 loss: 2.354347 eta: 1 day, 9:15:07 batch_cost: 0.8783 data_cost: 0.0070 ips: 63.7598 images/s [03/17 17:49:00] ppdet.engine INFO: Epoch: [43] [400/523] learning_rate: 0.265869 loss_vfl: 1.322430 loss_bbox: 0.617734 loss_dfl: 0.461691 loss: 2.383903 eta: 1 day, 9:15:04 batch_cost: 1.0186 data_cost: 0.0041 ips: 54.9782 images/s [03/17 17:49:19] ppdet.engine INFO: Epoch: [43] [420/523] learning_rate: 0.265845 loss_vfl: 1.266288 loss_bbox: 0.636325 loss_dfl: 0.479291 loss: 2.384301 eta: 1 day, 9:14:43 batch_cost: 0.8738 data_cost: 0.0106 ips: 64.0849 images/s [03/17 17:49:43] ppdet.engine INFO: Epoch: [43] [440/523] learning_rate: 0.265820 loss_vfl: 1.394009 loss_bbox: 0.657028 loss_dfl: 0.495840 loss: 2.566255 eta: 1 day, 9:14:43 batch_cost: 1.0456 data_cost: 0.0011 ips: 53.5596 images/s [03/17 17:50:03] ppdet.engine INFO: Epoch: [43] [460/523] learning_rate: 0.265795 loss_vfl: 1.303787 loss_bbox: 0.643126 loss_dfl: 0.476274 loss: 2.428201 eta: 1 day, 9:14:18 batch_cost: 0.8307 data_cost: 0.0030 ips: 67.4096 images/s [03/17 17:50:24] ppdet.engine INFO: Epoch: [43] [480/523] learning_rate: 0.265771 loss_vfl: 1.325788 loss_bbox: 0.648523 loss_dfl: 0.487315 loss: 2.482429 eta: 1 day, 9:14:07 batch_cost: 0.9477 data_cost: 0.0027 ips: 59.0935 images/s [03/17 17:50:45] ppdet.engine INFO: Epoch: [43] [500/523] learning_rate: 0.265746 loss_vfl: 1.322793 loss_bbox: 0.623535 loss_dfl: 0.466139 loss: 2.437003 eta: 1 day, 9:13:51 batch_cost: 0.9102 data_cost: 0.0055 ips: 61.5280 images/s [03/17 17:51:03] ppdet.engine INFO: Epoch: [43] [520/523] learning_rate: 0.265721 loss_vfl: 1.328009 loss_bbox: 0.662677 loss_dfl: 0.488899 loss: 2.469841 eta: 1 day, 9:13:20 batch_cost: 0.7827 data_cost: 0.0020 ips: 71.5487 images/s [03/17 17:51:14] ppdet.engine INFO: Epoch: [44] [ 0/523] learning_rate: 0.265718 loss_vfl: 1.307064 loss_bbox: 0.666947 loss_dfl: 0.481210 loss: 2.431020 eta: 1 day, 9:13:58 batch_cost: 1.1480 data_cost: 0.3771 ips: 48.7817 images/s [03/17 17:51:35] ppdet.engine INFO: Epoch: [44] [ 20/523] learning_rate: 0.265693 loss_vfl: 1.280692 loss_bbox: 0.645956 loss_dfl: 0.467886 loss: 2.400514 eta: 1 day, 9:13:32 batch_cost: 0.8200 data_cost: 0.0032 ips: 68.2910 images/s [03/17 17:51:54] ppdet.engine INFO: Epoch: [44] [ 40/523] learning_rate: 0.265668 loss_vfl: 1.363979 loss_bbox: 0.629584 loss_dfl: 0.491134 loss: 2.476827 eta: 1 day, 9:12:54 batch_cost: 0.7209 data_cost: 0.0033 ips: 77.6795 images/s [03/17 17:52:14] ppdet.engine INFO: Epoch: [44] [ 60/523] learning_rate: 0.265643 loss_vfl: 1.256011 loss_bbox: 0.592655 loss_dfl: 0.464350 loss: 2.290938 eta: 1 day, 9:12:31 batch_cost: 0.8466 data_cost: 0.0018 ips: 66.1439 images/s [03/17 17:52:34] ppdet.engine INFO: Epoch: [44] [ 80/523] learning_rate: 0.265619 loss_vfl: 1.264647 loss_bbox: 0.608887 loss_dfl: 0.458183 loss: 2.344007 eta: 1 day, 9:12:07 batch_cost: 0.8422 data_cost: 0.0162 ips: 66.4957 images/s [03/17 17:52:55] ppdet.engine INFO: Epoch: [44] [100/523] learning_rate: 0.265594 loss_vfl: 1.404276 loss_bbox: 0.664793 loss_dfl: 0.507066 loss: 2.592549 eta: 1 day, 9:11:50 batch_cost: 0.8983 data_cost: 0.1020 ips: 62.3429 images/s [03/17 17:53:19] ppdet.engine INFO: Epoch: [44] [120/523] learning_rate: 0.265569 loss_vfl: 1.368577 loss_bbox: 0.651661 loss_dfl: 0.489042 loss: 2.540433 eta: 1 day, 9:11:46 batch_cost: 1.0204 data_cost: 0.1826 ips: 54.8825 images/s [03/17 17:53:39] ppdet.engine INFO: Epoch: [44] [140/523] learning_rate: 0.265544 loss_vfl: 1.318698 loss_bbox: 0.622766 loss_dfl: 0.463617 loss: 2.397232 eta: 1 day, 9:11:22 batch_cost: 0.8351 data_cost: 0.1134 ips: 67.0597 images/s [03/17 17:54:01] ppdet.engine INFO: Epoch: [44] [160/523] learning_rate: 0.265519 loss_vfl: 1.331949 loss_bbox: 0.616999 loss_dfl: 0.472219 loss: 2.423065 eta: 1 day, 9:11:15 batch_cost: 0.9907 data_cost: 0.1109 ips: 56.5279 images/s [03/17 17:54:23] ppdet.engine INFO: Epoch: [44] [180/523] learning_rate: 0.265494 loss_vfl: 1.306924 loss_bbox: 0.629857 loss_dfl: 0.474364 loss: 2.402346 eta: 1 day, 9:11:03 batch_cost: 0.9409 data_cost: 0.0934 ips: 59.5195 images/s [03/17 17:54:44] ppdet.engine INFO: Epoch: [44] [200/523] learning_rate: 0.265469 loss_vfl: 1.358943 loss_bbox: 0.685704 loss_dfl: 0.496086 loss: 2.555641 eta: 1 day, 9:10:44 batch_cost: 0.8866 data_cost: 0.0149 ips: 63.1599 images/s [03/17 17:55:05] ppdet.engine INFO: Epoch: [44] [220/523] learning_rate: 0.265445 loss_vfl: 1.333861 loss_bbox: 0.635489 loss_dfl: 0.480766 loss: 2.463748 eta: 1 day, 9:10:20 batch_cost: 0.8381 data_cost: 0.0036 ips: 66.8169 images/s [03/17 17:55:26] ppdet.engine INFO: Epoch: [44] [240/523] learning_rate: 0.265420 loss_vfl: 1.371576 loss_bbox: 0.657947 loss_dfl: 0.495761 loss: 2.514306 eta: 1 day, 9:09:59 batch_cost: 0.8668 data_cost: 0.0090 ips: 64.6023 images/s [03/17 17:55:47] ppdet.engine INFO: Epoch: [44] [260/523] learning_rate: 0.265395 loss_vfl: 1.345353 loss_bbox: 0.620881 loss_dfl: 0.470126 loss: 2.403260 eta: 1 day, 9:09:41 batch_cost: 0.8968 data_cost: 0.0031 ips: 62.4440 images/s [03/17 17:56:08] ppdet.engine INFO: Epoch: [44] [280/523] learning_rate: 0.265370 loss_vfl: 1.194566 loss_bbox: 0.579854 loss_dfl: 0.437275 loss: 2.204207 eta: 1 day, 9:09:25 batch_cost: 0.9021 data_cost: 0.0024 ips: 62.0745 images/s [03/17 17:56:28] ppdet.engine INFO: Epoch: [44] 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0.681103 loss_dfl: 0.505358 loss: 2.599255 eta: 1 day, 9:07:27 batch_cost: 0.8603 data_cost: 0.0284 ips: 65.0957 images/s [03/17 17:58:08] ppdet.engine INFO: Epoch: [44] [400/523] learning_rate: 0.265219 loss_vfl: 1.326552 loss_bbox: 0.629497 loss_dfl: 0.484055 loss: 2.467719 eta: 1 day, 9:07:07 batch_cost: 0.8771 data_cost: 0.0028 ips: 63.8471 images/s [03/17 17:58:30] ppdet.engine INFO: Epoch: [44] [420/523] learning_rate: 0.265194 loss_vfl: 1.262895 loss_bbox: 0.624844 loss_dfl: 0.464663 loss: 2.353384 eta: 1 day, 9:06:48 batch_cost: 0.8838 data_cost: 0.0638 ips: 63.3649 images/s [03/17 17:58:53] ppdet.engine INFO: Epoch: [44] [440/523] learning_rate: 0.265169 loss_vfl: 1.322969 loss_bbox: 0.627871 loss_dfl: 0.484250 loss: 2.443109 eta: 1 day, 9:06:42 batch_cost: 0.9993 data_cost: 0.1679 ips: 56.0390 images/s [03/17 17:59:13] ppdet.engine INFO: Epoch: [44] [460/523] learning_rate: 0.265144 loss_vfl: 1.254377 loss_bbox: 0.613364 loss_dfl: 0.467099 loss: 2.349519 eta: 1 day, 9:06:12 batch_cost: 0.7843 data_cost: 0.0055 ips: 71.4039 images/s [03/17 17:59:34] ppdet.engine INFO: Epoch: [44] [480/523] learning_rate: 0.265119 loss_vfl: 1.317800 loss_bbox: 0.654719 loss_dfl: 0.483594 loss: 2.447225 eta: 1 day, 9:05:55 batch_cost: 0.8995 data_cost: 0.0547 ips: 62.2552 images/s [03/17 17:59:54] ppdet.engine INFO: Epoch: [44] [500/523] learning_rate: 0.265093 loss_vfl: 1.236663 loss_bbox: 0.573858 loss_dfl: 0.450188 loss: 2.250348 eta: 1 day, 9:05:27 batch_cost: 0.8017 data_cost: 0.0524 ips: 69.8516 images/s [03/17 18:00:13] ppdet.engine INFO: Epoch: [44] [520/523] learning_rate: 0.265068 loss_vfl: 1.379101 loss_bbox: 0.663181 loss_dfl: 0.495025 loss: 2.574612 eta: 1 day, 9:05:00 batch_cost: 0.8149 data_cost: 0.0795 ips: 68.7201 images/s [03/17 18:00:27] ppdet.engine INFO: Epoch: [45] [ 0/523] learning_rate: 0.265064 loss_vfl: 1.379101 loss_bbox: 0.663181 loss_dfl: 0.495025 loss: 2.574612 eta: 1 day, 9:05:50 batch_cost: 1.2460 data_cost: 0.4992 ips: 44.9441 images/s [03/17 18:00:48] ppdet.engine INFO: Epoch: [45] [ 20/523] learning_rate: 0.265039 loss_vfl: 1.282198 loss_bbox: 0.632321 loss_dfl: 0.472385 loss: 2.354419 eta: 1 day, 9:05:29 batch_cost: 0.8658 data_cost: 0.0076 ips: 64.6774 images/s [03/17 18:01:08] ppdet.engine INFO: Epoch: [45] [ 40/523] learning_rate: 0.265014 loss_vfl: 1.313674 loss_bbox: 0.616529 loss_dfl: 0.474532 loss: 2.380191 eta: 1 day, 9:05:08 batch_cost: 0.8624 data_cost: 0.0034 ips: 64.9349 images/s [03/17 18:01:27] ppdet.engine INFO: Epoch: [45] [ 60/523] learning_rate: 0.264989 loss_vfl: 1.264626 loss_bbox: 0.619407 loss_dfl: 0.460995 loss: 2.342817 eta: 1 day, 9:04:41 batch_cost: 0.8103 data_cost: 0.1365 ips: 69.1087 images/s [03/17 18:01:45] ppdet.engine INFO: Epoch: [45] [ 80/523] learning_rate: 0.264963 loss_vfl: 1.284731 loss_bbox: 0.607263 loss_dfl: 0.468957 loss: 2.360388 eta: 1 day, 9:04:16 batch_cost: 0.8373 data_cost: 0.0021 ips: 66.8788 images/s [03/17 18:02:05] ppdet.engine INFO: Epoch: [45] [100/523] learning_rate: 0.264938 loss_vfl: 1.383035 loss_bbox: 0.664150 loss_dfl: 0.497725 loss: 2.546046 eta: 1 day, 9:03:44 batch_cost: 0.7642 data_cost: 0.0100 ips: 73.2824 images/s [03/17 18:02:26] ppdet.engine INFO: Epoch: [45] [120/523] learning_rate: 0.264913 loss_vfl: 1.335986 loss_bbox: 0.655827 loss_dfl: 0.483723 loss: 2.463704 eta: 1 day, 9:03:24 batch_cost: 0.8711 data_cost: 0.0695 ips: 64.2884 images/s [03/17 18:02:47] ppdet.engine INFO: Epoch: [45] [140/523] learning_rate: 0.264887 loss_vfl: 1.273456 loss_bbox: 0.607163 loss_dfl: 0.467246 loss: 2.349920 eta: 1 day, 9:03:09 batch_cost: 0.9253 data_cost: 0.0463 ips: 60.5218 images/s [03/17 18:03:07] ppdet.engine INFO: Epoch: [45] [160/523] learning_rate: 0.264862 loss_vfl: 1.314468 loss_bbox: 0.616773 loss_dfl: 0.478095 loss: 2.412803 eta: 1 day, 9:02:48 batch_cost: 0.8587 data_cost: 0.1221 ips: 65.2139 images/s [03/17 18:03:31] ppdet.engine INFO: Epoch: [45] [180/523] learning_rate: 0.264836 loss_vfl: 1.345625 loss_bbox: 0.653596 loss_dfl: 0.498937 loss: 2.503167 eta: 1 day, 9:02:46 batch_cost: 1.0401 data_cost: 0.2237 ips: 53.8391 images/s [03/17 18:03:52] ppdet.engine INFO: Epoch: [45] [200/523] learning_rate: 0.264811 loss_vfl: 1.410780 loss_bbox: 0.655656 loss_dfl: 0.495662 loss: 2.553658 eta: 1 day, 9:02:26 batch_cost: 0.8679 data_cost: 0.1806 ips: 64.5260 images/s [03/17 18:04:14] ppdet.engine INFO: Epoch: [45] [220/523] learning_rate: 0.264786 loss_vfl: 1.289512 loss_bbox: 0.636726 loss_dfl: 0.472361 loss: 2.387753 eta: 1 day, 9:02:13 batch_cost: 0.9355 data_cost: 0.2307 ips: 59.8624 images/s [03/17 18:04:35] ppdet.engine INFO: Epoch: [45] [240/523] learning_rate: 0.264760 loss_vfl: 1.347810 loss_bbox: 0.625697 loss_dfl: 0.479340 loss: 2.433388 eta: 1 day, 9:01:53 batch_cost: 0.8804 data_cost: 0.1934 ips: 63.6048 images/s [03/17 18:04:56] ppdet.engine INFO: Epoch: [45] [260/523] learning_rate: 0.264735 loss_vfl: 1.254496 loss_bbox: 0.587906 loss_dfl: 0.450409 loss: 2.295033 eta: 1 day, 9:01:27 batch_cost: 0.8214 data_cost: 0.2225 ips: 68.1748 images/s [03/17 18:05:17] ppdet.engine INFO: Epoch: [45] [280/523] learning_rate: 0.264709 loss_vfl: 1.575792 loss_bbox: 0.681603 loss_dfl: 0.493337 loss: 2.782816 eta: 1 day, 9:01:11 batch_cost: 0.9112 data_cost: 0.2482 ips: 61.4563 images/s [03/17 18:05:38] ppdet.engine INFO: Epoch: [45] [300/523] learning_rate: 0.264683 loss_vfl: 1.440032 loss_bbox: 0.661218 loss_dfl: 0.508368 loss: 2.600442 eta: 1 day, 9:00:55 batch_cost: 0.9024 data_cost: 0.1677 ips: 62.0567 images/s [03/17 18:05:59] ppdet.engine INFO: Epoch: [45] [320/523] learning_rate: 0.264658 loss_vfl: 1.349200 loss_bbox: 0.596057 loss_dfl: 0.455014 loss: 2.423626 eta: 1 day, 9:00:35 batch_cost: 0.8753 data_cost: 0.1488 ips: 63.9777 images/s [03/17 18:06:17] ppdet.engine INFO: Epoch: [45] [340/523] learning_rate: 0.264632 loss_vfl: 1.279489 loss_bbox: 0.613314 loss_dfl: 0.471830 loss: 2.420379 eta: 1 day, 9:00:03 batch_cost: 0.7651 data_cost: 0.0655 ips: 73.1921 images/s [03/17 18:06:34] ppdet.engine INFO: Epoch: [45] [360/523] learning_rate: 0.264607 loss_vfl: 1.312190 loss_bbox: 0.655799 loss_dfl: 0.482043 loss: 2.415723 eta: 1 day, 8:59:30 batch_cost: 0.7572 data_cost: 0.0370 ips: 73.9531 images/s [03/17 18:06:54] ppdet.engine INFO: Epoch: [45] [380/523] learning_rate: 0.264581 loss_vfl: 1.363103 loss_bbox: 0.667576 loss_dfl: 0.499335 loss: 2.528165 eta: 1 day, 8:59:05 batch_cost: 0.8361 data_cost: 0.1113 ips: 66.9801 images/s [03/17 18:07:15] ppdet.engine INFO: Epoch: [45] [400/523] learning_rate: 0.264556 loss_vfl: 1.303396 loss_bbox: 0.621544 loss_dfl: 0.466111 loss: 2.393566 eta: 1 day, 8:58:34 batch_cost: 0.7749 data_cost: 0.0852 ips: 72.2708 images/s [03/17 18:07:36] ppdet.engine INFO: Epoch: [45] [420/523] learning_rate: 0.264530 loss_vfl: 1.308858 loss_bbox: 0.645862 loss_dfl: 0.490964 loss: 2.413611 eta: 1 day, 8:58:22 batch_cost: 0.9445 data_cost: 0.0513 ips: 59.2908 images/s [03/17 18:07:59] ppdet.engine INFO: Epoch: [45] [440/523] learning_rate: 0.264504 loss_vfl: 1.260067 loss_bbox: 0.631246 loss_dfl: 0.475391 loss: 2.389185 eta: 1 day, 8:58:06 batch_cost: 0.9042 data_cost: 0.0033 ips: 61.9334 images/s [03/17 18:08:18] ppdet.engine INFO: Epoch: [45] [460/523] learning_rate: 0.264478 loss_vfl: 1.287944 loss_bbox: 0.609828 loss_dfl: 0.452998 loss: 2.338129 eta: 1 day, 8:57:41 batch_cost: 0.8278 data_cost: 0.0049 ips: 67.6532 images/s [03/17 18:08:40] ppdet.engine INFO: Epoch: [45] [480/523] learning_rate: 0.264453 loss_vfl: 1.342938 loss_bbox: 0.643075 loss_dfl: 0.492250 loss: 2.476613 eta: 1 day, 8:57:32 batch_cost: 0.9722 data_cost: 0.2681 ips: 57.6027 images/s [03/17 18:09:01] ppdet.engine INFO: Epoch: [45] [500/523] learning_rate: 0.264427 loss_vfl: 1.362212 loss_bbox: 0.671126 loss_dfl: 0.498826 loss: 2.530005 eta: 1 day, 8:57:20 batch_cost: 0.9454 data_cost: 0.2538 ips: 59.2343 images/s [03/17 18:09:19] ppdet.engine INFO: Epoch: [45] [520/523] learning_rate: 0.264401 loss_vfl: 1.324472 loss_bbox: 0.636938 loss_dfl: 0.489089 loss: 2.465697 eta: 1 day, 8:56:50 batch_cost: 0.7855 data_cost: 0.1651 ips: 71.2916 images/s [03/17 18:09:31] ppdet.engine INFO: Epoch: [46] [ 0/523] learning_rate: 0.264397 loss_vfl: 1.303819 loss_bbox: 0.631832 loss_dfl: 0.480828 loss: 2.416480 eta: 1 day, 8:57:33 batch_cost: 1.2308 data_cost: 0.4925 ips: 45.4996 images/s [03/17 18:09:51] ppdet.engine INFO: Epoch: [46] [ 20/523] learning_rate: 0.264372 loss_vfl: 1.376436 loss_bbox: 0.651663 loss_dfl: 0.491521 loss: 2.521962 eta: 1 day, 8:57:09 batch_cost: 0.8317 data_cost: 0.0043 ips: 67.3351 images/s [03/17 18:10:10] ppdet.engine INFO: Epoch: [46] [ 40/523] learning_rate: 0.264346 loss_vfl: 1.321844 loss_bbox: 0.623662 loss_dfl: 0.471945 loss: 2.416259 eta: 1 day, 8:56:32 batch_cost: 0.7221 data_cost: 0.0012 ips: 77.5561 images/s [03/17 18:10:33] ppdet.engine INFO: Epoch: [46] [ 60/523] learning_rate: 0.264320 loss_vfl: 1.325814 loss_bbox: 0.630684 loss_dfl: 0.476525 loss: 2.432678 eta: 1 day, 8:56:29 batch_cost: 1.0300 data_cost: 0.0037 ips: 54.3681 images/s [03/17 18:10:54] ppdet.engine INFO: Epoch: [46] [ 80/523] learning_rate: 0.264294 loss_vfl: 1.245902 loss_bbox: 0.586556 loss_dfl: 0.452463 loss: 2.282372 eta: 1 day, 8:56:12 batch_cost: 0.9039 data_cost: 0.0031 ips: 61.9559 images/s [03/17 18:11:11] ppdet.engine INFO: Epoch: [46] [100/523] learning_rate: 0.264268 loss_vfl: 1.339931 loss_bbox: 0.655257 loss_dfl: 0.489675 loss: 2.503607 eta: 1 day, 8:55:37 batch_cost: 0.7344 data_cost: 0.0012 ips: 76.2535 images/s [03/17 18:11:27] ppdet.engine INFO: Epoch: [46] [120/523] learning_rate: 0.264242 loss_vfl: 1.220291 loss_bbox: 0.585847 loss_dfl: 0.441666 loss: 2.231780 eta: 1 day, 8:54:57 batch_cost: 0.6946 data_cost: 0.0029 ips: 80.6167 images/s [03/17 18:11:47] ppdet.engine INFO: Epoch: [46] [140/523] learning_rate: 0.264217 loss_vfl: 1.305579 loss_bbox: 0.624368 loss_dfl: 0.473591 loss: 2.426783 eta: 1 day, 8:54:35 batch_cost: 0.8510 data_cost: 0.0019 ips: 65.8043 images/s [03/17 18:12:09] ppdet.engine INFO: Epoch: [46] [160/523] learning_rate: 0.264191 loss_vfl: 1.297083 loss_bbox: 0.617561 loss_dfl: 0.470269 loss: 2.386666 eta: 1 day, 8:54:20 batch_cost: 0.9159 data_cost: 0.0059 ips: 61.1443 images/s [03/17 18:12:29] ppdet.engine INFO: Epoch: [46] [180/523] learning_rate: 0.264165 loss_vfl: 1.268000 loss_bbox: 0.631735 loss_dfl: 0.477108 loss: 2.376843 eta: 1 day, 8:53:54 batch_cost: 0.8194 data_cost: 0.0186 ips: 68.3464 images/s [03/17 18:12:52] ppdet.engine INFO: Epoch: [46] [200/523] learning_rate: 0.264139 loss_vfl: 1.302642 loss_bbox: 0.621568 loss_dfl: 0.461333 loss: 2.363106 eta: 1 day, 8:53:49 batch_cost: 1.0114 data_cost: 0.0038 ips: 55.3702 images/s [03/17 18:13:12] ppdet.engine INFO: Epoch: [46] [220/523] learning_rate: 0.264113 loss_vfl: 1.322336 loss_bbox: 0.616268 loss_dfl: 0.479839 loss: 2.423133 eta: 1 day, 8:53:28 batch_cost: 0.8631 data_cost: 0.0072 ips: 64.8813 images/s [03/17 18:13:33] ppdet.engine INFO: Epoch: [46] [240/523] learning_rate: 0.264087 loss_vfl: 1.231060 loss_bbox: 0.564367 loss_dfl: 0.437669 loss: 2.206743 eta: 1 day, 8:53:08 batch_cost: 0.8784 data_cost: 0.0021 ips: 63.7530 images/s [03/17 18:13:53] ppdet.engine INFO: Epoch: [46] [260/523] learning_rate: 0.264061 loss_vfl: 1.246932 loss_bbox: 0.572652 loss_dfl: 0.441403 loss: 2.241468 eta: 1 day, 8:52:46 batch_cost: 0.8474 data_cost: 0.0026 ips: 66.0850 images/s [03/17 18:14:14] ppdet.engine INFO: Epoch: [46] [280/523] learning_rate: 0.264035 loss_vfl: 1.321357 loss_bbox: 0.641767 loss_dfl: 0.495510 loss: 2.473451 eta: 1 day, 8:52:31 batch_cost: 0.9205 data_cost: 0.0100 ips: 60.8357 images/s [03/17 18:14:32] ppdet.engine INFO: Epoch: [46] [300/523] learning_rate: 0.264009 loss_vfl: 1.347964 loss_bbox: 0.632024 loss_dfl: 0.487399 loss: 2.487852 eta: 1 day, 8:52:03 batch_cost: 0.8027 data_cost: 0.0234 ips: 69.7608 images/s [03/17 18:14:54] ppdet.engine INFO: Epoch: [46] [320/523] learning_rate: 0.263983 loss_vfl: 1.277635 loss_bbox: 0.588544 loss_dfl: 0.454148 loss: 2.323344 eta: 1 day, 8:51:53 batch_cost: 0.9627 data_cost: 0.0070 ips: 58.1675 images/s [03/17 18:15:14] ppdet.engine INFO: Epoch: [46] [340/523] learning_rate: 0.263956 loss_vfl: 1.314621 loss_bbox: 0.620885 loss_dfl: 0.466218 loss: 2.405424 eta: 1 day, 8:51:31 batch_cost: 0.8539 data_cost: 0.0048 ips: 65.5785 images/s [03/17 18:15:35] ppdet.engine INFO: Epoch: [46] [360/523] learning_rate: 0.263930 loss_vfl: 1.319015 loss_bbox: 0.635584 loss_dfl: 0.483236 loss: 2.430802 eta: 1 day, 8:51:19 batch_cost: 0.9453 data_cost: 0.0150 ips: 59.2401 images/s [03/17 18:15:57] ppdet.engine INFO: Epoch: [46] [380/523] learning_rate: 0.263904 loss_vfl: 1.358317 loss_bbox: 0.646013 loss_dfl: 0.497510 loss: 2.483658 eta: 1 day, 8:51:11 batch_cost: 0.9843 data_cost: 0.0115 ips: 56.8945 images/s [03/17 18:16:14] ppdet.engine INFO: Epoch: [46] [400/523] learning_rate: 0.263878 loss_vfl: 1.331578 loss_bbox: 0.624537 loss_dfl: 0.476512 loss: 2.424918 eta: 1 day, 8:50:29 batch_cost: 0.6720 data_cost: 0.0061 ips: 83.3274 images/s [03/17 18:16:31] ppdet.engine INFO: Epoch: [46] [420/523] learning_rate: 0.263852 loss_vfl: 1.254326 loss_bbox: 0.593830 loss_dfl: 0.457813 loss: 2.295206 eta: 1 day, 8:49:56 batch_cost: 0.7554 data_cost: 0.0015 ips: 74.1306 images/s [03/17 18:16:50] ppdet.engine INFO: Epoch: [46] [440/523] learning_rate: 0.263826 loss_vfl: 1.339291 loss_bbox: 0.628008 loss_dfl: 0.482811 loss: 2.443677 eta: 1 day, 8:49:24 batch_cost: 0.7597 data_cost: 0.0084 ips: 73.7109 images/s [03/17 18:17:13] ppdet.engine INFO: Epoch: [46] [460/523] learning_rate: 0.263799 loss_vfl: 1.303559 loss_bbox: 0.612035 loss_dfl: 0.458730 loss: 2.372482 eta: 1 day, 8:49:16 batch_cost: 0.9867 data_cost: 0.0042 ips: 56.7571 images/s [03/17 18:17:34] ppdet.engine INFO: Epoch: [46] [480/523] learning_rate: 0.263773 loss_vfl: 1.398014 loss_bbox: 0.648155 loss_dfl: 0.492022 loss: 2.544719 eta: 1 day, 8:49:02 batch_cost: 0.9263 data_cost: 0.0036 ips: 60.4568 images/s [03/17 18:17:53] ppdet.engine INFO: Epoch: [46] [500/523] learning_rate: 0.263747 loss_vfl: 1.300110 loss_bbox: 0.627147 loss_dfl: 0.467445 loss: 2.389904 eta: 1 day, 8:48:36 batch_cost: 0.8161 data_cost: 0.0170 ips: 68.6172 images/s [03/17 18:18:12] ppdet.engine INFO: Epoch: [46] [520/523] learning_rate: 0.263721 loss_vfl: 1.279014 loss_bbox: 0.635497 loss_dfl: 0.480625 loss: 2.365152 eta: 1 day, 8:48:10 batch_cost: 0.8180 data_cost: 0.0012 ips: 68.4557 images/s [03/17 18:18:26] ppdet.engine INFO: Epoch: [47] [ 0/523] learning_rate: 0.263717 loss_vfl: 1.279014 loss_bbox: 0.635497 loss_dfl: 0.480625 loss: 2.365152 eta: 1 day, 8:49:04 batch_cost: 1.3170 data_cost: 0.3344 ips: 42.5223 images/s [03/17 18:18:46] ppdet.engine INFO: Epoch: [47] [ 20/523] learning_rate: 0.263690 loss_vfl: 1.270585 loss_bbox: 0.638404 loss_dfl: 0.475579 loss: 2.377972 eta: 1 day, 8:48:44 batch_cost: 0.8748 data_cost: 0.0138 ips: 64.0117 images/s [03/17 18:19:06] ppdet.engine INFO: Epoch: [47] [ 40/523] learning_rate: 0.263664 loss_vfl: 1.312136 loss_bbox: 0.624912 loss_dfl: 0.477867 loss: 2.402418 eta: 1 day, 8:48:22 batch_cost: 0.8528 data_cost: 0.0992 ips: 65.6682 images/s [03/17 18:19:29] ppdet.engine INFO: Epoch: [47] [ 60/523] learning_rate: 0.263638 loss_vfl: 1.334489 loss_bbox: 0.652038 loss_dfl: 0.487370 loss: 2.480404 eta: 1 day, 8:48:19 batch_cost: 1.0300 data_cost: 0.1302 ips: 54.3665 images/s [03/17 18:19:50] ppdet.engine INFO: Epoch: [47] [ 80/523] learning_rate: 0.263611 loss_vfl: 1.364837 loss_bbox: 0.650826 loss_dfl: 0.485073 loss: 2.507667 eta: 1 day, 8:48:01 batch_cost: 0.8927 data_cost: 0.1216 ips: 62.7303 images/s [03/17 18:20:14] ppdet.engine INFO: Epoch: [47] [100/523] learning_rate: 0.263585 loss_vfl: 1.348083 loss_bbox: 0.618563 loss_dfl: 0.475007 loss: 2.424055 eta: 1 day, 8:48:01 batch_cost: 1.0570 data_cost: 0.3362 ips: 52.9801 images/s [03/17 18:20:32] ppdet.engine INFO: Epoch: [47] [120/523] learning_rate: 0.263559 loss_vfl: 1.336050 loss_bbox: 0.629414 loss_dfl: 0.459125 loss: 2.420882 eta: 1 day, 8:47:28 batch_cost: 0.7525 data_cost: 0.0779 ips: 74.4205 images/s [03/17 18:20:53] ppdet.engine INFO: Epoch: [47] [140/523] learning_rate: 0.263532 loss_vfl: 1.279140 loss_bbox: 0.615346 loss_dfl: 0.460422 loss: 2.362745 eta: 1 day, 8:47:12 batch_cost: 0.9073 data_cost: 0.0564 ips: 61.7228 images/s [03/17 18:21:09] ppdet.engine INFO: Epoch: [47] [160/523] learning_rate: 0.263506 loss_vfl: 1.332366 loss_bbox: 0.667869 loss_dfl: 0.507860 loss: 2.502666 eta: 1 day, 8:46:28 batch_cost: 0.6514 data_cost: 0.0026 ips: 85.9711 images/s [03/17 18:21:29] ppdet.engine INFO: Epoch: [47] [180/523] learning_rate: 0.263479 loss_vfl: 1.299355 loss_bbox: 0.634024 loss_dfl: 0.474938 loss: 2.390101 eta: 1 day, 8:46:03 batch_cost: 0.8287 data_cost: 0.0467 ips: 67.5762 images/s [03/17 18:21:52] ppdet.engine INFO: Epoch: [47] [200/523] learning_rate: 0.263453 loss_vfl: 1.315120 loss_bbox: 0.648148 loss_dfl: 0.481766 loss: 2.445830 eta: 1 day, 8:45:48 batch_cost: 0.9202 data_cost: 0.2210 ips: 60.8537 images/s [03/17 18:22:13] ppdet.engine INFO: Epoch: [47] [220/523] learning_rate: 0.263426 loss_vfl: 1.294832 loss_bbox: 0.641138 loss_dfl: 0.484034 loss: 2.397759 eta: 1 day, 8:45:30 batch_cost: 0.8909 data_cost: 0.0048 ips: 62.8572 images/s [03/17 18:22:33] ppdet.engine INFO: Epoch: [47] [240/523] learning_rate: 0.263400 loss_vfl: 1.308582 loss_bbox: 0.595044 loss_dfl: 0.451685 loss: 2.355159 eta: 1 day, 8:45:08 batch_cost: 0.8520 data_cost: 0.0041 ips: 65.7313 images/s [03/17 18:22:56] ppdet.engine INFO: Epoch: [47] [260/523] learning_rate: 0.263373 loss_vfl: 1.293076 loss_bbox: 0.594812 loss_dfl: 0.450293 loss: 2.340516 eta: 1 day, 8:45:01 batch_cost: 0.9955 data_cost: 0.1471 ips: 56.2548 images/s [03/17 18:23:17] ppdet.engine INFO: Epoch: [47] [280/523] learning_rate: 0.263347 loss_vfl: 1.317085 loss_bbox: 0.649541 loss_dfl: 0.483787 loss: 2.405157 eta: 1 day, 8:44:37 batch_cost: 0.8367 data_cost: 0.1231 ips: 66.9281 images/s [03/17 18:23:37] ppdet.engine INFO: Epoch: [47] 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0.636267 loss_dfl: 0.467658 loss: 2.434708 eta: 1 day, 8:43:18 batch_cost: 0.9212 data_cost: 0.1452 ips: 60.7901 images/s [03/17 18:25:26] ppdet.engine INFO: Epoch: [47] [400/523] learning_rate: 0.263187 loss_vfl: 1.419298 loss_bbox: 0.668093 loss_dfl: 0.498629 loss: 2.602715 eta: 1 day, 8:43:15 batch_cost: 1.0336 data_cost: 0.2489 ips: 54.1791 images/s [03/17 18:25:45] ppdet.engine INFO: Epoch: [47] [420/523] learning_rate: 0.263160 loss_vfl: 1.313500 loss_bbox: 0.652201 loss_dfl: 0.495697 loss: 2.477707 eta: 1 day, 8:42:49 batch_cost: 0.8116 data_cost: 0.1386 ips: 68.9965 images/s [03/17 18:26:02] ppdet.engine INFO: Epoch: [47] [440/523] learning_rate: 0.263133 loss_vfl: 1.259731 loss_bbox: 0.624556 loss_dfl: 0.479336 loss: 2.345408 eta: 1 day, 8:42:10 batch_cost: 0.6917 data_cost: 0.0032 ips: 80.9657 images/s [03/17 18:26:19] ppdet.engine INFO: Epoch: [47] [460/523] learning_rate: 0.263107 loss_vfl: 1.271914 loss_bbox: 0.601572 loss_dfl: 0.452150 loss: 2.358253 eta: 1 day, 8:41:36 batch_cost: 0.7404 data_cost: 0.0045 ips: 75.6382 images/s [03/17 18:26:40] ppdet.engine INFO: Epoch: [47] [480/523] learning_rate: 0.263080 loss_vfl: 1.276345 loss_bbox: 0.612464 loss_dfl: 0.449305 loss: 2.346546 eta: 1 day, 8:41:21 batch_cost: 0.9208 data_cost: 0.1776 ips: 60.8180 images/s [03/17 18:27:03] ppdet.engine INFO: Epoch: [47] [500/523] learning_rate: 0.263053 loss_vfl: 1.321271 loss_bbox: 0.627703 loss_dfl: 0.477056 loss: 2.407559 eta: 1 day, 8:41:17 batch_cost: 1.0272 data_cost: 0.3044 ips: 54.5191 images/s [03/17 18:27:20] ppdet.engine INFO: Epoch: [47] [520/523] learning_rate: 0.263026 loss_vfl: 1.255748 loss_bbox: 0.625432 loss_dfl: 0.460494 loss: 2.345040 eta: 1 day, 8:40:44 batch_cost: 0.7461 data_cost: 0.0349 ips: 75.0614 images/s [03/17 18:27:33] ppdet.engine INFO: Epoch: [48] [ 0/523] learning_rate: 0.263022 loss_vfl: 1.255748 loss_bbox: 0.625432 loss_dfl: 0.460494 loss: 2.351043 eta: 1 day, 8:41:27 batch_cost: 1.1863 data_cost: 0.4184 ips: 47.2068 images/s [03/17 18:27:54] ppdet.engine INFO: Epoch: [48] [ 20/523] learning_rate: 0.262996 loss_vfl: 1.280236 loss_bbox: 0.630449 loss_dfl: 0.466792 loss: 2.392665 eta: 1 day, 8:41:06 batch_cost: 0.8606 data_cost: 0.0067 ips: 65.0696 images/s [03/17 18:28:15] ppdet.engine INFO: Epoch: [48] [ 40/523] learning_rate: 0.262969 loss_vfl: 1.336047 loss_bbox: 0.594373 loss_dfl: 0.445375 loss: 2.359913 eta: 1 day, 8:40:48 batch_cost: 0.8938 data_cost: 0.0120 ips: 62.6507 images/s [03/17 18:28:37] ppdet.engine INFO: Epoch: [48] [ 60/523] learning_rate: 0.262942 loss_vfl: 1.228553 loss_bbox: 0.573995 loss_dfl: 0.435081 loss: 2.240868 eta: 1 day, 8:40:31 batch_cost: 0.9037 data_cost: 0.0287 ips: 61.9693 images/s [03/17 18:29:01] ppdet.engine INFO: Epoch: [48] [ 80/523] learning_rate: 0.262915 loss_vfl: 1.361376 loss_bbox: 0.656204 loss_dfl: 0.491246 loss: 2.536678 eta: 1 day, 8:40:25 batch_cost: 1.0059 data_cost: 0.0693 ips: 55.6695 images/s [03/17 18:29:22] ppdet.engine INFO: Epoch: [48] [100/523] learning_rate: 0.262888 loss_vfl: 1.309008 loss_bbox: 0.612834 loss_dfl: 0.463517 loss: 2.381212 eta: 1 day, 8:40:04 batch_cost: 0.8576 data_cost: 0.0038 ips: 65.2964 images/s [03/17 18:29:41] ppdet.engine INFO: Epoch: [48] [120/523] learning_rate: 0.262861 loss_vfl: 1.327655 loss_bbox: 0.626772 loss_dfl: 0.471419 loss: 2.430281 eta: 1 day, 8:39:36 batch_cost: 0.8009 data_cost: 0.0066 ips: 69.9251 images/s [03/17 18:30:05] ppdet.engine INFO: Epoch: [48] [140/523] learning_rate: 0.262834 loss_vfl: 1.279320 loss_bbox: 0.643652 loss_dfl: 0.476774 loss: 2.411476 eta: 1 day, 8:39:36 batch_cost: 1.0611 data_cost: 0.3086 ips: 52.7769 images/s [03/17 18:30:25] ppdet.engine INFO: Epoch: [48] [160/523] learning_rate: 0.262807 loss_vfl: 1.359318 loss_bbox: 0.633313 loss_dfl: 0.479948 loss: 2.519204 eta: 1 day, 8:39:14 batch_cost: 0.8565 data_cost: 0.0220 ips: 65.3844 images/s [03/17 18:30:42] ppdet.engine INFO: Epoch: [48] [180/523] learning_rate: 0.262780 loss_vfl: 1.265181 loss_bbox: 0.602082 loss_dfl: 0.463136 loss: 2.344808 eta: 1 day, 8:38:39 batch_cost: 0.7260 data_cost: 0.0079 ips: 77.1390 images/s [03/17 18:31:01] ppdet.engine INFO: Epoch: [48] [200/523] learning_rate: 0.262753 loss_vfl: 1.343506 loss_bbox: 0.621787 loss_dfl: 0.472158 loss: 2.402858 eta: 1 day, 8:38:13 batch_cost: 0.8148 data_cost: 0.0739 ips: 68.7306 images/s [03/17 18:31:23] ppdet.engine INFO: Epoch: [48] [220/523] learning_rate: 0.262726 loss_vfl: 1.305589 loss_bbox: 0.632963 loss_dfl: 0.484560 loss: 2.467146 eta: 1 day, 8:37:55 batch_cost: 0.8898 data_cost: 0.0024 ips: 62.9320 images/s [03/17 18:31:44] ppdet.engine INFO: Epoch: [48] [240/523] learning_rate: 0.262699 loss_vfl: 1.306541 loss_bbox: 0.638673 loss_dfl: 0.484839 loss: 2.441984 eta: 1 day, 8:37:34 batch_cost: 0.8689 data_cost: 0.0183 ips: 64.4527 images/s [03/17 18:32:06] ppdet.engine INFO: Epoch: [48] [260/523] learning_rate: 0.262672 loss_vfl: 1.275777 loss_bbox: 0.608674 loss_dfl: 0.454617 loss: 2.313288 eta: 1 day, 8:37:14 batch_cost: 0.8718 data_cost: 0.0039 ips: 64.2318 images/s [03/17 18:32:29] ppdet.engine INFO: Epoch: [48] [280/523] learning_rate: 0.262645 loss_vfl: 1.315959 loss_bbox: 0.629763 loss_dfl: 0.464758 loss: 2.408594 eta: 1 day, 8:37:02 batch_cost: 0.9479 data_cost: 0.0062 ips: 59.0805 images/s [03/17 18:32:48] ppdet.engine INFO: Epoch: [48] [300/523] learning_rate: 0.262618 loss_vfl: 1.277790 loss_bbox: 0.600224 loss_dfl: 0.456604 loss: 2.332089 eta: 1 day, 8:36:38 batch_cost: 0.8328 data_cost: 0.0062 ips: 67.2443 images/s [03/17 18:33:10] ppdet.engine INFO: Epoch: [48] [320/523] learning_rate: 0.262591 loss_vfl: 1.282414 loss_bbox: 0.605168 loss_dfl: 0.458869 loss: 2.346454 eta: 1 day, 8:36:27 batch_cost: 0.9534 data_cost: 0.0392 ips: 58.7388 images/s [03/17 18:33:33] ppdet.engine INFO: Epoch: [48] [340/523] learning_rate: 0.262564 loss_vfl: 1.328006 loss_bbox: 0.646229 loss_dfl: 0.495812 loss: 2.478997 eta: 1 day, 8:36:19 batch_cost: 0.9970 data_cost: 0.1665 ips: 56.1699 images/s [03/17 18:33:55] ppdet.engine INFO: Epoch: [48] [360/523] learning_rate: 0.262537 loss_vfl: 1.285234 loss_bbox: 0.633248 loss_dfl: 0.480843 loss: 2.410447 eta: 1 day, 8:36:11 batch_cost: 0.9854 data_cost: 0.1396 ips: 56.8288 images/s [03/17 18:34:19] ppdet.engine INFO: Epoch: [48] [380/523] learning_rate: 0.262509 loss_vfl: 1.280844 loss_bbox: 0.610216 loss_dfl: 0.474774 loss: 2.384099 eta: 1 day, 8:36:06 batch_cost: 1.0202 data_cost: 0.2186 ips: 54.8896 images/s [03/17 18:34:38] ppdet.engine INFO: Epoch: [48] [400/523] learning_rate: 0.262482 loss_vfl: 1.361716 loss_bbox: 0.659356 loss_dfl: 0.486012 loss: 2.514683 eta: 1 day, 8:35:36 batch_cost: 0.7696 data_cost: 0.0084 ips: 72.7626 images/s [03/17 18:35:00] ppdet.engine INFO: Epoch: [48] [420/523] learning_rate: 0.262455 loss_vfl: 1.292840 loss_bbox: 0.592308 loss_dfl: 0.455190 loss: 2.347179 eta: 1 day, 8:35:01 batch_cost: 0.7278 data_cost: 0.0062 ips: 76.9435 images/s [03/17 18:35:18] ppdet.engine INFO: Epoch: [48] [440/523] learning_rate: 0.262428 loss_vfl: 1.365054 loss_bbox: 0.645775 loss_dfl: 0.491517 loss: 2.532015 eta: 1 day, 8:34:38 batch_cost: 0.8473 data_cost: 0.0964 ips: 66.0884 images/s [03/17 18:35:37] ppdet.engine INFO: Epoch: [48] [460/523] learning_rate: 0.262400 loss_vfl: 1.232947 loss_bbox: 0.599446 loss_dfl: 0.451692 loss: 2.302773 eta: 1 day, 8:34:06 batch_cost: 0.7535 data_cost: 0.0037 ips: 74.3200 images/s [03/17 18:35:55] ppdet.engine INFO: Epoch: [48] [480/523] learning_rate: 0.262373 loss_vfl: 1.344004 loss_bbox: 0.662333 loss_dfl: 0.489011 loss: 2.547489 eta: 1 day, 8:33:31 batch_cost: 0.7233 data_cost: 0.0408 ips: 77.4220 images/s [03/17 18:36:18] ppdet.engine INFO: Epoch: [48] [500/523] learning_rate: 0.262346 loss_vfl: 1.435363 loss_bbox: 0.699324 loss_dfl: 0.525821 loss: 2.660896 eta: 1 day, 8:33:21 batch_cost: 0.9652 data_cost: 0.1479 ips: 58.0210 images/s [03/17 18:36:36] ppdet.engine INFO: Epoch: [48] [520/523] learning_rate: 0.262319 loss_vfl: 1.298467 loss_bbox: 0.590353 loss_dfl: 0.453308 loss: 2.358083 eta: 1 day, 8:32:47 batch_cost: 0.7380 data_cost: 0.1221 ips: 75.8805 images/s [03/17 18:36:48] ppdet.engine INFO: Epoch: [49] [ 0/523] learning_rate: 0.262314 loss_vfl: 1.311208 loss_bbox: 0.607404 loss_dfl: 0.462381 loss: 2.392126 eta: 1 day, 8:33:26 batch_cost: 1.1933 data_cost: 0.4974 ips: 46.9286 images/s [03/17 18:37:08] ppdet.engine INFO: Epoch: [49] [ 20/523] learning_rate: 0.262287 loss_vfl: 1.275328 loss_bbox: 0.581068 loss_dfl: 0.439799 loss: 2.284916 eta: 1 day, 8:33:05 batch_cost: 0.8615 data_cost: 0.0018 ips: 65.0032 images/s [03/17 18:37:29] ppdet.engine INFO: Epoch: [49] [ 40/523] learning_rate: 0.262260 loss_vfl: 1.346434 loss_bbox: 0.654566 loss_dfl: 0.481461 loss: 2.502244 eta: 1 day, 8:32:54 batch_cost: 0.9563 data_cost: 0.0052 ips: 58.5597 images/s [03/17 18:37:52] ppdet.engine INFO: Epoch: [49] [ 60/523] learning_rate: 0.262232 loss_vfl: 1.287547 loss_bbox: 0.622654 loss_dfl: 0.475017 loss: 2.362406 eta: 1 day, 8:32:44 batch_cost: 0.9673 data_cost: 0.0019 ips: 57.8949 images/s [03/17 18:38:11] ppdet.engine INFO: Epoch: [49] [ 80/523] learning_rate: 0.262205 loss_vfl: 1.255643 loss_bbox: 0.627564 loss_dfl: 0.476652 loss: 2.352265 eta: 1 day, 8:32:23 batch_cost: 0.8672 data_cost: 0.0067 ips: 64.5758 images/s [03/17 18:38:33] ppdet.engine INFO: Epoch: [49] [100/523] learning_rate: 0.262178 loss_vfl: 1.321737 loss_bbox: 0.631578 loss_dfl: 0.479581 loss: 2.424149 eta: 1 day, 8:32:18 batch_cost: 1.0208 data_cost: 0.0028 ips: 54.8602 images/s [03/17 18:38:56] ppdet.engine INFO: Epoch: [49] [120/523] learning_rate: 0.262150 loss_vfl: 1.274097 loss_bbox: 0.622147 loss_dfl: 0.471968 loss: 2.395795 eta: 1 day, 8:32:16 batch_cost: 1.0447 data_cost: 0.0014 ips: 53.6053 images/s [03/17 18:39:16] ppdet.engine INFO: Epoch: [49] [140/523] learning_rate: 0.262123 loss_vfl: 1.292997 loss_bbox: 0.626591 loss_dfl: 0.455791 loss: 2.365396 eta: 1 day, 8:31:56 batch_cost: 0.8690 data_cost: 0.0053 ips: 64.4429 images/s [03/17 18:39:38] ppdet.engine INFO: Epoch: [49] [160/523] learning_rate: 0.262095 loss_vfl: 1.331421 loss_bbox: 0.673302 loss_dfl: 0.493279 loss: 2.501122 eta: 1 day, 8:31:46 batch_cost: 0.9765 data_cost: 0.0045 ips: 57.3490 images/s [03/17 18:39:58] ppdet.engine INFO: Epoch: [49] [180/523] learning_rate: 0.262068 loss_vfl: 1.286787 loss_bbox: 0.613546 loss_dfl: 0.465617 loss: 2.405212 eta: 1 day, 8:31:26 batch_cost: 0.8753 data_cost: 0.0047 ips: 63.9778 images/s [03/17 18:40:15] ppdet.engine INFO: Epoch: [49] [200/523] learning_rate: 0.262040 loss_vfl: 1.226568 loss_bbox: 0.602635 loss_dfl: 0.450110 loss: 2.263697 eta: 1 day, 8:30:50 batch_cost: 0.7069 data_cost: 0.0039 ips: 79.2209 images/s [03/17 18:40:34] ppdet.engine INFO: Epoch: [49] [220/523] learning_rate: 0.262013 loss_vfl: 1.365636 loss_bbox: 0.650670 loss_dfl: 0.493242 loss: 2.527818 eta: 1 day, 8:30:21 batch_cost: 0.7859 data_cost: 0.0028 ips: 71.2549 images/s [03/17 18:40:55] ppdet.engine INFO: Epoch: [49] [240/523] learning_rate: 0.261985 loss_vfl: 1.344609 loss_bbox: 0.642535 loss_dfl: 0.488353 loss: 2.483935 eta: 1 day, 8:30:08 batch_cost: 0.9385 data_cost: 0.0046 ips: 59.6697 images/s [03/17 18:41:15] ppdet.engine INFO: Epoch: [49] [260/523] learning_rate: 0.261958 loss_vfl: 1.233838 loss_bbox: 0.567005 loss_dfl: 0.438334 loss: 2.228396 eta: 1 day, 8:29:52 batch_cost: 0.9111 data_cost: 0.0023 ips: 61.4611 images/s [03/17 18:41:35] ppdet.engine INFO: Epoch: [49] [280/523] learning_rate: 0.261930 loss_vfl: 1.342080 loss_bbox: 0.630569 loss_dfl: 0.468308 loss: 2.451897 eta: 1 day, 8:29:33 batch_cost: 0.8802 data_cost: 0.0164 ips: 63.6205 images/s [03/17 18:41:57] ppdet.engine INFO: Epoch: [49] [300/523] learning_rate: 0.261902 loss_vfl: 1.354802 loss_bbox: 0.638641 loss_dfl: 0.482501 loss: 2.532920 eta: 1 day, 8:29:23 batch_cost: 0.9757 data_cost: 0.0043 ips: 57.3946 images/s [03/17 18:42:20] ppdet.engine INFO: Epoch: [49] [320/523] learning_rate: 0.261875 loss_vfl: 1.328612 loss_bbox: 0.617485 loss_dfl: 0.467768 loss: 2.417714 eta: 1 day, 8:29:18 batch_cost: 1.0162 data_cost: 0.0108 ips: 55.1081 images/s [03/17 18:42:41] ppdet.engine INFO: Epoch: [49] [340/523] learning_rate: 0.261847 loss_vfl: 1.393580 loss_bbox: 0.655025 loss_dfl: 0.498049 loss: 2.563596 eta: 1 day, 8:29:07 batch_cost: 0.9669 data_cost: 0.0071 ips: 57.9165 images/s [03/17 18:43:03] ppdet.engine INFO: Epoch: [49] [360/523] learning_rate: 0.261819 loss_vfl: 1.267743 loss_bbox: 0.617975 loss_dfl: 0.461899 loss: 2.341764 eta: 1 day, 8:28:54 batch_cost: 0.9406 data_cost: 0.0022 ips: 59.5379 images/s [03/17 18:43:22] ppdet.engine INFO: Epoch: [49] [380/523] learning_rate: 0.261792 loss_vfl: 1.311399 loss_bbox: 0.643686 loss_dfl: 0.481764 loss: 2.426131 eta: 1 day, 8:28:30 batch_cost: 0.8352 data_cost: 0.0025 ips: 67.0525 images/s [03/17 18:43:46] ppdet.engine INFO: Epoch: [49] [400/523] learning_rate: 0.261764 loss_vfl: 1.310160 loss_bbox: 0.605270 loss_dfl: 0.452302 loss: 2.364242 eta: 1 day, 8:28:29 batch_cost: 1.0600 data_cost: 0.0042 ips: 52.8279 images/s [03/17 18:44:06] ppdet.engine INFO: Epoch: [49] [420/523] learning_rate: 0.261736 loss_vfl: 1.302965 loss_bbox: 0.635187 loss_dfl: 0.479138 loss: 2.442451 eta: 1 day, 8:28:17 batch_cost: 0.9449 data_cost: 0.0039 ips: 59.2678 images/s [03/17 18:44:28] ppdet.engine INFO: Epoch: [49] [440/523] learning_rate: 0.261708 loss_vfl: 1.293064 loss_bbox: 0.603367 loss_dfl: 0.462437 loss: 2.400490 eta: 1 day, 8:28:08 batch_cost: 0.9860 data_cost: 0.0039 ips: 56.7927 images/s [03/17 18:44:46] ppdet.engine INFO: Epoch: [49] [460/523] learning_rate: 0.261681 loss_vfl: 1.292244 loss_bbox: 0.600160 loss_dfl: 0.455257 loss: 2.333516 eta: 1 day, 8:27:43 batch_cost: 0.8188 data_cost: 0.0011 ips: 68.3923 images/s [03/17 18:45:05] ppdet.engine INFO: Epoch: [49] [480/523] learning_rate: 0.261653 loss_vfl: 1.303599 loss_bbox: 0.619119 loss_dfl: 0.468726 loss: 2.402810 eta: 1 day, 8:27:18 batch_cost: 0.8248 data_cost: 0.0018 ips: 67.8961 images/s [03/17 18:45:22] ppdet.engine INFO: Epoch: [49] [500/523] learning_rate: 0.261625 loss_vfl: 1.270887 loss_bbox: 0.628761 loss_dfl: 0.474069 loss: 2.347967 eta: 1 day, 8:26:45 batch_cost: 0.7376 data_cost: 0.0030 ips: 75.9234 images/s [03/17 18:45:40] ppdet.engine INFO: Epoch: [49] [520/523] learning_rate: 0.261597 loss_vfl: 1.290738 loss_bbox: 0.616945 loss_dfl: 0.473160 loss: 2.399468 eta: 1 day, 8:26:15 batch_cost: 0.7790 data_cost: 0.0044 ips: 71.8833 images/s [03/17 18:45:42] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 18:45:42] ppdet.engine INFO: Eval iter: 0 [03/17 18:46:07] ppdet.engine INFO: Eval iter: 100 [03/17 18:46:23] ppdet.engine INFO: Eval iter: 200 [03/17 18:46:38] ppdet.engine INFO: Eval iter: 300 [03/17 18:46:54] ppdet.engine INFO: Eval iter: 400 [03/17 18:47:10] ppdet.engine INFO: Eval iter: 500 [03/17 18:47:26] ppdet.engine INFO: Eval iter: 600 [03/17 18:47:41] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.59s) creating index... index created! [03/17 18:47:42] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.20s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=83.86s). Accumulating evaluation results... DONE (t=15.19s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.134 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.224 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.135 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.066 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.096 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.233 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.183 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.318 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.347 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.126 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.347 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.565 [03/17 18:49:28] ppdet.engine INFO: Total sample number: 4952, averge FPS: 46.31552256505811 [03/17 18:49:28] ppdet.engine INFO: Best test bbox ap is 0.187. [03/17 18:49:28] ppdet.engine INFO: Epoch: [50] [ 0/523] learning_rate: 0.261593 loss_vfl: 1.306162 loss_bbox: 0.628001 loss_dfl: 0.477997 loss: 2.449237 eta: 1 day, 8:26:03 batch_cost: 0.6592 data_cost: 0.0035 ips: 84.9532 images/s [03/17 18:49:48] ppdet.engine INFO: Epoch: [50] [ 20/523] learning_rate: 0.261565 loss_vfl: 1.267199 loss_bbox: 0.610229 loss_dfl: 0.465928 loss: 2.363374 eta: 1 day, 8:25:35 batch_cost: 0.7874 data_cost: 0.0052 ips: 71.1236 images/s [03/17 18:50:11] ppdet.engine INFO: Epoch: [50] [ 40/523] learning_rate: 0.261537 loss_vfl: 1.315998 loss_bbox: 0.618949 loss_dfl: 0.476698 loss: 2.406245 eta: 1 day, 8:25:33 batch_cost: 1.0568 data_cost: 0.0019 ips: 52.9911 images/s [03/17 18:50:33] ppdet.engine INFO: Epoch: [50] [ 60/523] learning_rate: 0.261509 loss_vfl: 1.348745 loss_bbox: 0.634626 loss_dfl: 0.480974 loss: 2.457895 eta: 1 day, 8:25:25 batch_cost: 0.9882 data_cost: 0.0050 ips: 56.6659 images/s [03/17 18:50:56] ppdet.engine INFO: Epoch: [50] [ 80/523] learning_rate: 0.261482 loss_vfl: 1.240587 loss_bbox: 0.578772 loss_dfl: 0.437576 loss: 2.262165 eta: 1 day, 8:25:21 batch_cost: 1.0378 data_cost: 0.0064 ips: 53.9608 images/s [03/17 18:51:14] ppdet.engine INFO: Epoch: [50] [100/523] learning_rate: 0.261454 loss_vfl: 1.311040 loss_bbox: 0.608372 loss_dfl: 0.466003 loss: 2.412245 eta: 1 day, 8:24:56 batch_cost: 0.8175 data_cost: 0.0013 ips: 68.5049 images/s [03/17 18:51:39] ppdet.engine INFO: Epoch: [50] [120/523] learning_rate: 0.261426 loss_vfl: 1.318537 loss_bbox: 0.649225 loss_dfl: 0.493795 loss: 2.474017 eta: 1 day, 8:25:00 batch_cost: 1.1127 data_cost: 0.0030 ips: 50.3297 images/s [03/17 18:52:00] ppdet.engine INFO: Epoch: [50] [140/523] learning_rate: 0.261398 loss_vfl: 1.262461 loss_bbox: 0.638788 loss_dfl: 0.473052 loss: 2.357028 eta: 1 day, 8:24:47 batch_cost: 0.9492 data_cost: 0.0019 ips: 58.9999 images/s [03/17 18:52:22] ppdet.engine INFO: Epoch: [50] [160/523] learning_rate: 0.261370 loss_vfl: 1.265780 loss_bbox: 0.594755 loss_dfl: 0.452661 loss: 2.333449 eta: 1 day, 8:24:41 batch_cost: 1.0103 data_cost: 0.0054 ips: 55.4304 images/s [03/17 18:52:47] ppdet.engine INFO: Epoch: [50] [180/523] learning_rate: 0.261342 loss_vfl: 1.361805 loss_bbox: 0.659817 loss_dfl: 0.504108 loss: 2.518642 eta: 1 day, 8:24:42 batch_cost: 1.0834 data_cost: 0.0036 ips: 51.6909 images/s [03/17 18:53:07] ppdet.engine INFO: Epoch: [50] [200/523] learning_rate: 0.261314 loss_vfl: 1.320486 loss_bbox: 0.629489 loss_dfl: 0.471736 loss: 2.433320 eta: 1 day, 8:24:25 batch_cost: 0.9029 data_cost: 0.0034 ips: 62.0220 images/s [03/17 18:53:28] ppdet.engine INFO: Epoch: [50] [220/523] learning_rate: 0.261286 loss_vfl: 1.331278 loss_bbox: 0.648085 loss_dfl: 0.487442 loss: 2.482266 eta: 1 day, 8:24:16 batch_cost: 0.9851 data_cost: 0.0015 ips: 56.8475 images/s [03/17 18:53:45] ppdet.engine INFO: Epoch: [50] [240/523] learning_rate: 0.261258 loss_vfl: 1.296364 loss_bbox: 0.632885 loss_dfl: 0.475931 loss: 2.411351 eta: 1 day, 8:23:37 batch_cost: 0.6798 data_cost: 0.0035 ips: 82.3804 images/s [03/17 18:54:03] ppdet.engine INFO: Epoch: [50] [260/523] learning_rate: 0.261230 loss_vfl: 1.338252 loss_bbox: 0.629475 loss_dfl: 0.484456 loss: 2.445710 eta: 1 day, 8:23:09 batch_cost: 0.7859 data_cost: 0.0048 ips: 71.2524 images/s [03/17 18:54:23] ppdet.engine INFO: Epoch: [50] [280/523] learning_rate: 0.261201 loss_vfl: 1.293822 loss_bbox: 0.616440 loss_dfl: 0.468074 loss: 2.403771 eta: 1 day, 8:22:50 batch_cost: 0.8832 data_cost: 0.0045 ips: 63.4046 images/s [03/17 18:54:47] ppdet.engine INFO: Epoch: [50] [300/523] learning_rate: 0.261173 loss_vfl: 1.335815 loss_bbox: 0.619666 loss_dfl: 0.478767 loss: 2.433832 eta: 1 day, 8:22:54 batch_cost: 1.1105 data_cost: 0.0035 ips: 50.4300 images/s [03/17 18:55:08] ppdet.engine INFO: Epoch: [50] [320/523] learning_rate: 0.261145 loss_vfl: 1.320271 loss_bbox: 0.602809 loss_dfl: 0.453449 loss: 2.348100 eta: 1 day, 8:22:36 batch_cost: 0.8924 data_cost: 0.0051 ips: 62.7487 images/s [03/17 18:55:28] ppdet.engine INFO: Epoch: [50] [340/523] learning_rate: 0.261117 loss_vfl: 1.333200 loss_bbox: 0.632955 loss_dfl: 0.480941 loss: 2.445737 eta: 1 day, 8:22:18 batch_cost: 0.8936 data_cost: 0.0034 ips: 62.6711 images/s [03/17 18:55:50] ppdet.engine INFO: Epoch: [50] [360/523] learning_rate: 0.261089 loss_vfl: 1.336568 loss_bbox: 0.638156 loss_dfl: 0.479258 loss: 2.469709 eta: 1 day, 8:22:10 batch_cost: 0.9970 data_cost: 0.0080 ips: 56.1709 images/s [03/17 18:56:12] ppdet.engine INFO: Epoch: [50] [380/523] learning_rate: 0.261061 loss_vfl: 1.263314 loss_bbox: 0.615140 loss_dfl: 0.458216 loss: 2.334097 eta: 1 day, 8:22:06 batch_cost: 1.0377 data_cost: 0.0067 ips: 53.9676 images/s [03/17 18:56:32] ppdet.engine INFO: Epoch: [50] [400/523] learning_rate: 0.261032 loss_vfl: 1.308780 loss_bbox: 0.636663 loss_dfl: 0.482586 loss: 2.411689 eta: 1 day, 8:21:49 batch_cost: 0.8991 data_cost: 0.0026 ips: 62.2848 images/s [03/17 18:56:56] ppdet.engine INFO: Epoch: [50] [420/523] learning_rate: 0.261004 loss_vfl: 1.267142 loss_bbox: 0.616247 loss_dfl: 0.460052 loss: 2.341811 eta: 1 day, 8:21:47 batch_cost: 1.0541 data_cost: 0.0004 ips: 53.1237 images/s [03/17 18:57:16] ppdet.engine INFO: Epoch: [50] [440/523] learning_rate: 0.260976 loss_vfl: 1.298596 loss_bbox: 0.622934 loss_dfl: 0.473275 loss: 2.407634 eta: 1 day, 8:21:30 batch_cost: 0.9041 data_cost: 0.0062 ips: 61.9403 images/s [03/17 18:57:36] ppdet.engine INFO: Epoch: [50] [460/523] learning_rate: 0.260948 loss_vfl: 1.337377 loss_bbox: 0.630360 loss_dfl: 0.498528 loss: 2.447428 eta: 1 day, 8:21:12 batch_cost: 0.8917 data_cost: 0.0211 ips: 62.8049 images/s [03/17 18:58:00] ppdet.engine INFO: Epoch: [50] [480/523] learning_rate: 0.260919 loss_vfl: 1.275294 loss_bbox: 0.613163 loss_dfl: 0.457269 loss: 2.356224 eta: 1 day, 8:21:11 batch_cost: 1.0730 data_cost: 0.0027 ips: 52.1911 images/s [03/17 18:58:20] ppdet.engine INFO: Epoch: [50] [500/523] learning_rate: 0.260891 loss_vfl: 1.331981 loss_bbox: 0.688136 loss_dfl: 0.505490 loss: 2.546701 eta: 1 day, 8:20:54 batch_cost: 0.9020 data_cost: 0.0092 ips: 62.0854 images/s [03/17 18:58:34] ppdet.engine INFO: Epoch: [50] [520/523] learning_rate: 0.260863 loss_vfl: 1.242155 loss_bbox: 0.619147 loss_dfl: 0.469143 loss: 2.323521 eta: 1 day, 8:20:10 batch_cost: 0.6247 data_cost: 0.0059 ips: 89.6493 images/s [03/17 18:58:44] ppdet.engine INFO: Epoch: [51] [ 0/523] learning_rate: 0.260858 loss_vfl: 1.269327 loss_bbox: 0.646789 loss_dfl: 0.478263 loss: 2.426023 eta: 1 day, 8:20:37 batch_cost: 0.9717 data_cost: 0.2562 ips: 57.6284 images/s [03/17 18:59:06] ppdet.engine INFO: Epoch: [51] [ 20/523] learning_rate: 0.260830 loss_vfl: 1.276246 loss_bbox: 0.623980 loss_dfl: 0.467183 loss: 2.333625 eta: 1 day, 8:20:26 batch_cost: 0.9601 data_cost: 0.0030 ips: 58.3252 images/s [03/17 18:59:29] ppdet.engine INFO: Epoch: [51] [ 40/523] learning_rate: 0.260802 loss_vfl: 1.331597 loss_bbox: 0.632788 loss_dfl: 0.492443 loss: 2.459232 eta: 1 day, 8:20:25 batch_cost: 1.0718 data_cost: 0.0092 ips: 52.2485 images/s [03/17 18:59:49] ppdet.engine INFO: Epoch: [51] [ 60/523] learning_rate: 0.260773 loss_vfl: 1.266920 loss_bbox: 0.612569 loss_dfl: 0.456841 loss: 2.331836 eta: 1 day, 8:20:10 batch_cost: 0.9221 data_cost: 0.0015 ips: 60.7320 images/s [03/17 19:00:14] ppdet.engine INFO: Epoch: [51] [ 80/523] learning_rate: 0.260745 loss_vfl: 1.276467 loss_bbox: 0.613274 loss_dfl: 0.448906 loss: 2.308533 eta: 1 day, 8:20:18 batch_cost: 1.1607 data_cost: 0.0003 ips: 48.2453 images/s [03/17 19:00:35] ppdet.engine INFO: Epoch: [51] [100/523] learning_rate: 0.260716 loss_vfl: 1.315063 loss_bbox: 0.586681 loss_dfl: 0.456060 loss: 2.348403 eta: 1 day, 8:20:06 batch_cost: 0.9531 data_cost: 0.0033 ips: 58.7569 images/s [03/17 19:00:57] ppdet.engine INFO: Epoch: [51] [120/523] learning_rate: 0.260688 loss_vfl: 1.321266 loss_bbox: 0.626218 loss_dfl: 0.472617 loss: 2.430993 eta: 1 day, 8:19:59 batch_cost: 1.0131 data_cost: 0.0014 ips: 55.2732 images/s [03/17 19:01:21] ppdet.engine INFO: Epoch: [51] [140/523] learning_rate: 0.260659 loss_vfl: 1.289376 loss_bbox: 0.610772 loss_dfl: 0.455507 loss: 2.393286 eta: 1 day, 8:19:58 batch_cost: 1.0664 data_cost: 0.0021 ips: 52.5148 images/s [03/17 19:01:43] ppdet.engine INFO: Epoch: [51] [160/523] learning_rate: 0.260631 loss_vfl: 1.301164 loss_bbox: 0.626168 loss_dfl: 0.472524 loss: 2.383654 eta: 1 day, 8:19:52 batch_cost: 1.0190 data_cost: 0.0007 ips: 54.9568 images/s [03/17 19:02:04] ppdet.engine INFO: Epoch: [51] [180/523] learning_rate: 0.260602 loss_vfl: 1.303202 loss_bbox: 0.634619 loss_dfl: 0.473480 loss: 2.379763 eta: 1 day, 8:19:38 batch_cost: 0.9356 data_cost: 0.0049 ips: 59.8521 images/s [03/17 19:02:27] ppdet.engine INFO: Epoch: [51] [200/523] learning_rate: 0.260574 loss_vfl: 1.296326 loss_bbox: 0.586274 loss_dfl: 0.458997 loss: 2.347025 eta: 1 day, 8:19:34 batch_cost: 1.0334 data_cost: 0.0044 ips: 54.1908 images/s [03/17 19:02:50] ppdet.engine INFO: Epoch: [51] [220/523] learning_rate: 0.260545 loss_vfl: 1.361506 loss_bbox: 0.602723 loss_dfl: 0.472393 loss: 2.447112 eta: 1 day, 8:19:29 batch_cost: 1.0299 data_cost: 0.0018 ips: 54.3762 images/s [03/17 19:03:07] ppdet.engine INFO: Epoch: [51] [240/523] learning_rate: 0.260517 loss_vfl: 1.323392 loss_bbox: 0.599767 loss_dfl: 0.458138 loss: 2.403193 eta: 1 day, 8:19:01 batch_cost: 0.7910 data_cost: 0.0052 ips: 70.7957 images/s [03/17 19:03:25] ppdet.engine INFO: Epoch: [51] [260/523] learning_rate: 0.260488 loss_vfl: 1.276429 loss_bbox: 0.601463 loss_dfl: 0.463781 loss: 2.336522 eta: 1 day, 8:18:33 batch_cost: 0.7901 data_cost: 0.0036 ips: 70.8749 images/s [03/17 19:03:46] ppdet.engine INFO: Epoch: [51] [280/523] learning_rate: 0.260460 loss_vfl: 1.300420 loss_bbox: 0.640368 loss_dfl: 0.494477 loss: 2.410368 eta: 1 day, 8:18:20 batch_cost: 0.9445 data_cost: 0.0007 ips: 59.2936 images/s [03/17 19:04:09] ppdet.engine INFO: Epoch: [51] [300/523] learning_rate: 0.260431 loss_vfl: 1.364948 loss_bbox: 0.665364 loss_dfl: 0.497072 loss: 2.535001 eta: 1 day, 8:18:13 batch_cost: 1.0125 data_cost: 0.0051 ips: 55.3103 images/s [03/17 19:04:32] ppdet.engine INFO: Epoch: [51] [320/523] learning_rate: 0.260402 loss_vfl: 1.302502 loss_bbox: 0.619850 loss_dfl: 0.464764 loss: 2.388443 eta: 1 day, 8:18:11 batch_cost: 1.0517 data_cost: 0.0049 ips: 53.2477 images/s [03/17 19:04:53] ppdet.engine INFO: Epoch: [51] [340/523] learning_rate: 0.260374 loss_vfl: 1.339017 loss_bbox: 0.630263 loss_dfl: 0.473131 loss: 2.421172 eta: 1 day, 8:17:58 batch_cost: 0.9509 data_cost: 0.0003 ips: 58.8897 images/s [03/17 19:05:14] ppdet.engine INFO: Epoch: [51] [360/523] learning_rate: 0.260345 loss_vfl: 1.276470 loss_bbox: 0.608498 loss_dfl: 0.457837 loss: 2.305494 eta: 1 day, 8:17:42 batch_cost: 0.9141 data_cost: 0.0007 ips: 61.2611 images/s [03/17 19:05:37] ppdet.engine INFO: Epoch: [51] [380/523] learning_rate: 0.260316 loss_vfl: 1.308108 loss_bbox: 0.660998 loss_dfl: 0.488596 loss: 2.451690 eta: 1 day, 8:17:40 batch_cost: 1.0642 data_cost: 0.0058 ips: 52.6235 images/s [03/17 19:05:59] ppdet.engine INFO: Epoch: [51] [400/523] learning_rate: 0.260287 loss_vfl: 1.286396 loss_bbox: 0.614324 loss_dfl: 0.468290 loss: 2.369555 eta: 1 day, 8:17:33 batch_cost: 1.0047 data_cost: 0.0036 ips: 55.7381 images/s [03/17 19:06:18] ppdet.engine INFO: Epoch: [51] [420/523] learning_rate: 0.260259 loss_vfl: 1.307875 loss_bbox: 0.617968 loss_dfl: 0.458484 loss: 2.381548 eta: 1 day, 8:17:12 batch_cost: 0.8673 data_cost: 0.0114 ips: 64.5676 images/s [03/17 19:06:44] ppdet.engine INFO: Epoch: [51] [440/523] learning_rate: 0.260230 loss_vfl: 1.344841 loss_bbox: 0.634643 loss_dfl: 0.476966 loss: 2.475511 eta: 1 day, 8:17:22 batch_cost: 1.1834 data_cost: 0.0006 ips: 47.3214 images/s [03/17 19:07:06] ppdet.engine INFO: Epoch: [51] [460/523] learning_rate: 0.260201 loss_vfl: 1.312795 loss_bbox: 0.644499 loss_dfl: 0.484250 loss: 2.460133 eta: 1 day, 8:17:11 batch_cost: 0.9694 data_cost: 0.0033 ips: 57.7663 images/s [03/17 19:07:27] ppdet.engine INFO: Epoch: [51] [480/523] learning_rate: 0.260172 loss_vfl: 1.274308 loss_bbox: 0.642143 loss_dfl: 0.480426 loss: 2.416218 eta: 1 day, 8:16:57 batch_cost: 0.9321 data_cost: 0.0061 ips: 60.0799 images/s [03/17 19:07:45] ppdet.engine INFO: Epoch: [51] [500/523] learning_rate: 0.260144 loss_vfl: 1.363267 loss_bbox: 0.634373 loss_dfl: 0.485593 loss: 2.482495 eta: 1 day, 8:16:32 batch_cost: 0.8244 data_cost: 0.0050 ips: 67.9251 images/s [03/17 19:08:01] ppdet.engine INFO: Epoch: [51] [520/523] learning_rate: 0.260115 loss_vfl: 1.293249 loss_bbox: 0.601797 loss_dfl: 0.454113 loss: 2.358719 eta: 1 day, 8:15:54 batch_cost: 0.6895 data_cost: 0.0026 ips: 81.2181 images/s [03/17 19:08:11] ppdet.engine INFO: Epoch: [52] [ 0/523] learning_rate: 0.260110 loss_vfl: 1.293249 loss_bbox: 0.608544 loss_dfl: 0.459393 loss: 2.386750 eta: 1 day, 8:16:24 batch_cost: 1.0169 data_cost: 0.2801 ips: 55.0678 images/s [03/17 19:08:32] ppdet.engine INFO: Epoch: [52] [ 20/523] learning_rate: 0.260081 loss_vfl: 1.328016 loss_bbox: 0.642767 loss_dfl: 0.472909 loss: 2.412650 eta: 1 day, 8:16:07 batch_cost: 0.9104 data_cost: 0.0010 ips: 61.5100 images/s [03/17 19:08:54] ppdet.engine INFO: Epoch: [52] [ 40/523] learning_rate: 0.260053 loss_vfl: 1.321126 loss_bbox: 0.647143 loss_dfl: 0.481857 loss: 2.477324 eta: 1 day, 8:16:01 batch_cost: 1.0229 data_cost: 0.0017 ips: 54.7476 images/s [03/17 19:09:18] ppdet.engine INFO: Epoch: [52] [ 60/523] learning_rate: 0.260024 loss_vfl: 1.302051 loss_bbox: 0.644692 loss_dfl: 0.483049 loss: 2.406779 eta: 1 day, 8:16:01 batch_cost: 1.0810 data_cost: 0.0005 ips: 51.8036 images/s [03/17 19:09:39] ppdet.engine INFO: Epoch: [52] [ 80/523] learning_rate: 0.259995 loss_vfl: 1.289592 loss_bbox: 0.632103 loss_dfl: 0.484336 loss: 2.421017 eta: 1 day, 8:15:48 batch_cost: 0.9481 data_cost: 0.0072 ips: 59.0665 images/s [03/17 19:10:04] ppdet.engine INFO: Epoch: [52] [100/523] learning_rate: 0.259966 loss_vfl: 1.252352 loss_bbox: 0.621831 loss_dfl: 0.470757 loss: 2.321883 eta: 1 day, 8:15:56 batch_cost: 1.1706 data_cost: 0.0033 ips: 47.8391 images/s [03/17 19:10:27] ppdet.engine INFO: Epoch: [52] [120/523] learning_rate: 0.259937 loss_vfl: 1.304366 loss_bbox: 0.630261 loss_dfl: 0.470878 loss: 2.421313 eta: 1 day, 8:15:53 batch_cost: 1.0496 data_cost: 0.0037 ips: 53.3547 images/s [03/17 19:10:48] ppdet.engine INFO: Epoch: [52] [140/523] learning_rate: 0.259908 loss_vfl: 1.270405 loss_bbox: 0.614548 loss_dfl: 0.465044 loss: 2.308345 eta: 1 day, 8:15:44 batch_cost: 0.9943 data_cost: 0.0031 ips: 56.3195 images/s [03/17 19:11:11] ppdet.engine INFO: Epoch: [52] [160/523] learning_rate: 0.259879 loss_vfl: 1.308461 loss_bbox: 0.627114 loss_dfl: 0.475925 loss: 2.420863 eta: 1 day, 8:15:39 batch_cost: 1.0319 data_cost: 0.0025 ips: 54.2676 images/s [03/17 19:11:33] ppdet.engine INFO: Epoch: [52] [180/523] learning_rate: 0.259850 loss_vfl: 1.325513 loss_bbox: 0.622865 loss_dfl: 0.478720 loss: 2.425046 eta: 1 day, 8:15:33 batch_cost: 1.0181 data_cost: 0.0022 ips: 55.0054 images/s [03/17 19:11:54] ppdet.engine INFO: Epoch: [52] [200/523] learning_rate: 0.259821 loss_vfl: 1.384252 loss_bbox: 0.651863 loss_dfl: 0.492311 loss: 2.533201 eta: 1 day, 8:15:19 batch_cost: 0.9373 data_cost: 0.0026 ips: 59.7491 images/s [03/17 19:12:17] ppdet.engine INFO: Epoch: [52] [220/523] learning_rate: 0.259792 loss_vfl: 1.314688 loss_bbox: 0.628843 loss_dfl: 0.454112 loss: 2.318066 eta: 1 day, 8:15:18 batch_cost: 1.0839 data_cost: 0.0030 ips: 51.6651 images/s [03/17 19:12:35] ppdet.engine INFO: Epoch: [52] [240/523] learning_rate: 0.259763 loss_vfl: 1.371941 loss_bbox: 0.668895 loss_dfl: 0.490487 loss: 2.476923 eta: 1 day, 8:14:48 batch_cost: 0.7639 data_cost: 0.0028 ips: 73.3043 images/s [03/17 19:12:53] ppdet.engine INFO: Epoch: [52] [260/523] learning_rate: 0.259734 loss_vfl: 1.408871 loss_bbox: 0.690962 loss_dfl: 0.526401 loss: 2.650491 eta: 1 day, 8:14:22 batch_cost: 0.8101 data_cost: 0.0027 ips: 69.1308 images/s [03/17 19:13:14] ppdet.engine INFO: Epoch: [52] 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0.648602 loss_dfl: 0.486757 loss: 2.517507 eta: 1 day, 8:13:29 batch_cost: 0.9657 data_cost: 0.0120 ips: 57.9882 images/s [03/17 19:15:05] ppdet.engine INFO: Epoch: [52] [380/523] learning_rate: 0.259559 loss_vfl: 1.293386 loss_bbox: 0.650505 loss_dfl: 0.471628 loss: 2.418841 eta: 1 day, 8:13:20 batch_cost: 0.9914 data_cost: 0.0041 ips: 56.4849 images/s [03/17 19:15:27] ppdet.engine INFO: Epoch: [52] [400/523] learning_rate: 0.259529 loss_vfl: 1.326555 loss_bbox: 0.605264 loss_dfl: 0.461710 loss: 2.410321 eta: 1 day, 8:13:11 batch_cost: 0.9912 data_cost: 0.0059 ips: 56.4974 images/s [03/17 19:15:48] ppdet.engine INFO: Epoch: [52] [420/523] learning_rate: 0.259500 loss_vfl: 1.304107 loss_bbox: 0.640609 loss_dfl: 0.482209 loss: 2.427240 eta: 1 day, 8:12:57 batch_cost: 0.9452 data_cost: 0.0028 ips: 59.2484 images/s [03/17 19:16:10] ppdet.engine INFO: Epoch: [52] [440/523] learning_rate: 0.259471 loss_vfl: 1.338373 loss_bbox: 0.635994 loss_dfl: 0.486350 loss: 2.444655 eta: 1 day, 8:12:51 batch_cost: 1.0230 data_cost: 0.0016 ips: 54.7419 images/s [03/17 19:16:33] ppdet.engine INFO: Epoch: [52] [460/523] learning_rate: 0.259441 loss_vfl: 1.277602 loss_bbox: 0.619443 loss_dfl: 0.469220 loss: 2.358610 eta: 1 day, 8:12:46 batch_cost: 1.0389 data_cost: 0.0027 ips: 53.9040 images/s [03/17 19:16:54] ppdet.engine INFO: Epoch: [52] [480/523] learning_rate: 0.259412 loss_vfl: 1.312901 loss_bbox: 0.632284 loss_dfl: 0.478446 loss: 2.415699 eta: 1 day, 8:12:33 batch_cost: 0.9506 data_cost: 0.0053 ips: 58.9091 images/s [03/17 19:17:12] ppdet.engine INFO: Epoch: [52] [500/523] learning_rate: 0.259383 loss_vfl: 1.216331 loss_bbox: 0.592840 loss_dfl: 0.460374 loss: 2.298245 eta: 1 day, 8:12:06 batch_cost: 0.7937 data_cost: 0.0032 ips: 70.5591 images/s [03/17 19:17:27] ppdet.engine INFO: Epoch: [52] [520/523] learning_rate: 0.259353 loss_vfl: 1.311019 loss_bbox: 0.633786 loss_dfl: 0.472299 loss: 2.449183 eta: 1 day, 8:11:25 batch_cost: 0.6553 data_cost: 0.0030 ips: 85.4550 images/s [03/17 19:17:41] ppdet.engine INFO: Epoch: [53] [ 0/523] learning_rate: 0.259349 loss_vfl: 1.324928 loss_bbox: 0.633786 loss_dfl: 0.476008 loss: 2.454664 eta: 1 day, 8:12:09 batch_cost: 1.1727 data_cost: 0.2985 ips: 47.7519 images/s [03/17 19:18:04] ppdet.engine INFO: Epoch: [53] [ 20/523] learning_rate: 0.259320 loss_vfl: 1.281469 loss_bbox: 0.602393 loss_dfl: 0.470827 loss: 2.352609 eta: 1 day, 8:12:06 batch_cost: 1.0622 data_cost: 0.0126 ips: 52.7194 images/s [03/17 19:18:26] ppdet.engine INFO: Epoch: [53] [ 40/523] learning_rate: 0.259290 loss_vfl: 1.375061 loss_bbox: 0.653018 loss_dfl: 0.496454 loss: 2.507523 eta: 1 day, 8:12:00 batch_cost: 1.0243 data_cost: 0.0034 ips: 54.6706 images/s [03/17 19:18:51] ppdet.engine INFO: Epoch: [53] [ 60/523] learning_rate: 0.259261 loss_vfl: 1.304567 loss_bbox: 0.607516 loss_dfl: 0.464040 loss: 2.369438 eta: 1 day, 8:12:03 batch_cost: 1.1240 data_cost: 0.0045 ips: 49.8203 images/s [03/17 19:19:15] ppdet.engine INFO: Epoch: [53] [ 80/523] learning_rate: 0.259231 loss_vfl: 1.295964 loss_bbox: 0.590031 loss_dfl: 0.451528 loss: 2.332031 eta: 1 day, 8:12:05 batch_cost: 1.1085 data_cost: 0.0018 ips: 50.5194 images/s [03/17 19:19:33] ppdet.engine INFO: Epoch: [53] [100/523] learning_rate: 0.259202 loss_vfl: 1.310467 loss_bbox: 0.638426 loss_dfl: 0.482464 loss: 2.431168 eta: 1 day, 8:11:40 batch_cost: 0.8259 data_cost: 0.0042 ips: 67.8046 images/s [03/17 19:19:59] ppdet.engine INFO: Epoch: [53] [120/523] learning_rate: 0.259173 loss_vfl: 1.197264 loss_bbox: 0.583780 loss_dfl: 0.448384 loss: 2.204949 eta: 1 day, 8:11:48 batch_cost: 1.1802 data_cost: 0.0014 ips: 47.4486 images/s [03/17 19:20:20] ppdet.engine INFO: Epoch: [53] [140/523] learning_rate: 0.259143 loss_vfl: 1.283977 loss_bbox: 0.608632 loss_dfl: 0.467568 loss: 2.372614 eta: 1 day, 8:11:38 batch_cost: 0.9791 data_cost: 0.0041 ips: 57.1967 images/s [03/17 19:20:44] ppdet.engine INFO: Epoch: [53] [160/523] learning_rate: 0.259114 loss_vfl: 1.370378 loss_bbox: 0.678357 loss_dfl: 0.497054 loss: 2.565681 eta: 1 day, 8:11:42 batch_cost: 1.1438 data_cost: 0.0023 ips: 48.9598 images/s [03/17 19:21:07] ppdet.engine INFO: Epoch: [53] [180/523] learning_rate: 0.259084 loss_vfl: 1.372719 loss_bbox: 0.649906 loss_dfl: 0.481081 loss: 2.490970 eta: 1 day, 8:11:30 batch_cost: 0.9570 data_cost: 0.0021 ips: 58.5183 images/s [03/17 19:21:27] ppdet.engine INFO: Epoch: [53] [200/523] learning_rate: 0.259054 loss_vfl: 1.319574 loss_bbox: 0.601513 loss_dfl: 0.458143 loss: 2.402470 eta: 1 day, 8:11:17 batch_cost: 0.9556 data_cost: 0.0020 ips: 58.6047 images/s [03/17 19:21:48] ppdet.engine INFO: Epoch: [53] [220/523] learning_rate: 0.259025 loss_vfl: 1.262208 loss_bbox: 0.580494 loss_dfl: 0.442198 loss: 2.328428 eta: 1 day, 8:11:02 batch_cost: 0.9265 data_cost: 0.0023 ips: 60.4398 images/s [03/17 19:22:07] ppdet.engine INFO: Epoch: [53] [240/523] learning_rate: 0.258995 loss_vfl: 1.322465 loss_bbox: 0.612551 loss_dfl: 0.466898 loss: 2.347894 eta: 1 day, 8:10:38 batch_cost: 0.8385 data_cost: 0.0039 ips: 66.7889 images/s [03/17 19:22:26] ppdet.engine INFO: Epoch: [53] [260/523] learning_rate: 0.258966 loss_vfl: 1.313082 loss_bbox: 0.626299 loss_dfl: 0.467223 loss: 2.390608 eta: 1 day, 8:10:09 batch_cost: 0.7764 data_cost: 0.0014 ips: 72.1308 images/s [03/17 19:22:47] ppdet.engine INFO: Epoch: [53] [280/523] learning_rate: 0.258936 loss_vfl: 1.296891 loss_bbox: 0.612427 loss_dfl: 0.459641 loss: 2.383339 eta: 1 day, 8:09:56 batch_cost: 0.9552 data_cost: 0.0046 ips: 58.6278 images/s [03/17 19:23:11] ppdet.engine INFO: Epoch: [53] [300/523] learning_rate: 0.258906 loss_vfl: 1.318009 loss_bbox: 0.641533 loss_dfl: 0.480545 loss: 2.445407 eta: 1 day, 8:09:54 batch_cost: 1.0673 data_cost: 0.0012 ips: 52.4693 images/s [03/17 19:23:34] ppdet.engine INFO: Epoch: [53] [320/523] learning_rate: 0.258877 loss_vfl: 1.228003 loss_bbox: 0.586060 loss_dfl: 0.452902 loss: 2.271501 eta: 1 day, 8:09:53 batch_cost: 1.0842 data_cost: 0.0048 ips: 51.6499 images/s [03/17 19:23:55] ppdet.engine INFO: Epoch: [53] [340/523] learning_rate: 0.258847 loss_vfl: 1.365968 loss_bbox: 0.667581 loss_dfl: 0.494282 loss: 2.506457 eta: 1 day, 8:09:42 batch_cost: 0.9749 data_cost: 0.0048 ips: 57.4410 images/s [03/17 19:24:16] ppdet.engine INFO: Epoch: [53] [360/523] learning_rate: 0.258817 loss_vfl: 1.294185 loss_bbox: 0.636303 loss_dfl: 0.461075 loss: 2.366184 eta: 1 day, 8:09:26 batch_cost: 0.9199 data_cost: 0.0093 ips: 60.8738 images/s [03/17 19:24:40] ppdet.engine INFO: Epoch: [53] [380/523] learning_rate: 0.258788 loss_vfl: 1.358591 loss_bbox: 0.605253 loss_dfl: 0.461549 loss: 2.391112 eta: 1 day, 8:09:29 batch_cost: 1.1228 data_cost: 0.0022 ips: 49.8767 images/s [03/17 19:25:01] ppdet.engine INFO: Epoch: [53] [400/523] learning_rate: 0.258758 loss_vfl: 1.347053 loss_bbox: 0.650264 loss_dfl: 0.498882 loss: 2.515590 eta: 1 day, 8:09:14 batch_cost: 0.9304 data_cost: 0.0045 ips: 60.1868 images/s [03/17 19:25:21] ppdet.engine INFO: Epoch: [53] [420/523] learning_rate: 0.258728 loss_vfl: 1.234165 loss_bbox: 0.591024 loss_dfl: 0.457345 loss: 2.305480 eta: 1 day, 8:08:52 batch_cost: 0.8548 data_cost: 0.0019 ips: 65.5095 images/s [03/17 19:25:46] ppdet.engine INFO: Epoch: [53] [440/523] learning_rate: 0.258698 loss_vfl: 1.369024 loss_bbox: 0.647418 loss_dfl: 0.491991 loss: 2.494822 eta: 1 day, 8:08:57 batch_cost: 1.1562 data_cost: 0.0011 ips: 48.4342 images/s [03/17 19:26:07] ppdet.engine INFO: Epoch: [53] [460/523] learning_rate: 0.258669 loss_vfl: 1.378396 loss_bbox: 0.639376 loss_dfl: 0.491564 loss: 2.490243 eta: 1 day, 8:08:42 batch_cost: 0.9342 data_cost: 0.0025 ips: 59.9419 images/s [03/17 19:26:26] ppdet.engine INFO: Epoch: [53] [480/523] learning_rate: 0.258639 loss_vfl: 1.308175 loss_bbox: 0.625444 loss_dfl: 0.462142 loss: 2.386627 eta: 1 day, 8:08:17 batch_cost: 0.8184 data_cost: 0.0057 ips: 68.4264 images/s [03/17 19:26:44] ppdet.engine INFO: Epoch: [53] [500/523] learning_rate: 0.258609 loss_vfl: 1.425451 loss_bbox: 0.684324 loss_dfl: 0.519122 loss: 2.615863 eta: 1 day, 8:07:48 batch_cost: 0.7760 data_cost: 0.0029 ips: 72.1684 images/s [03/17 19:27:00] ppdet.engine INFO: Epoch: [53] [520/523] learning_rate: 0.258579 loss_vfl: 1.281692 loss_bbox: 0.610744 loss_dfl: 0.452924 loss: 2.329460 eta: 1 day, 8:07:14 batch_cost: 0.7188 data_cost: 0.0022 ips: 77.9066 images/s [03/17 19:27:12] ppdet.engine INFO: Epoch: [54] [ 0/523] learning_rate: 0.258575 loss_vfl: 1.302695 loss_bbox: 0.617506 loss_dfl: 0.465103 loss: 2.381104 eta: 1 day, 8:07:47 batch_cost: 1.1241 data_cost: 0.2872 ips: 49.8164 images/s [03/17 19:27:35] ppdet.engine INFO: Epoch: [54] [ 20/523] learning_rate: 0.258545 loss_vfl: 1.328113 loss_bbox: 0.646729 loss_dfl: 0.483773 loss: 2.451234 eta: 1 day, 8:07:30 batch_cost: 0.9087 data_cost: 0.0059 ips: 61.6297 images/s [03/17 19:27:56] ppdet.engine INFO: Epoch: [54] [ 40/523] learning_rate: 0.258515 loss_vfl: 1.306939 loss_bbox: 0.620265 loss_dfl: 0.465302 loss: 2.382727 eta: 1 day, 8:07:13 batch_cost: 0.9116 data_cost: 0.0045 ips: 61.4312 images/s [03/17 19:28:18] ppdet.engine INFO: Epoch: [54] [ 60/523] learning_rate: 0.258485 loss_vfl: 1.310430 loss_bbox: 0.628590 loss_dfl: 0.482531 loss: 2.430303 eta: 1 day, 8:07:02 batch_cost: 0.9700 data_cost: 0.0024 ips: 57.7339 images/s [03/17 19:28:38] ppdet.engine INFO: Epoch: [54] [ 80/523] learning_rate: 0.258455 loss_vfl: 1.328513 loss_bbox: 0.664278 loss_dfl: 0.495426 loss: 2.473563 eta: 1 day, 8:06:41 batch_cost: 0.8664 data_cost: 0.0057 ips: 64.6384 images/s [03/17 19:29:00] ppdet.engine INFO: Epoch: [54] [100/523] learning_rate: 0.258425 loss_vfl: 1.309481 loss_bbox: 0.589213 loss_dfl: 0.464520 loss: 2.373791 eta: 1 day, 8:06:26 batch_cost: 0.9338 data_cost: 0.0020 ips: 59.9683 images/s [03/17 19:29:23] ppdet.engine INFO: Epoch: [54] [120/523] learning_rate: 0.258395 loss_vfl: 1.256201 loss_bbox: 0.621226 loss_dfl: 0.456461 loss: 2.347967 eta: 1 day, 8:06:20 batch_cost: 1.0370 data_cost: 0.0036 ips: 54.0043 images/s [03/17 19:29:44] ppdet.engine INFO: Epoch: [54] [140/523] learning_rate: 0.258365 loss_vfl: 1.317686 loss_bbox: 0.642591 loss_dfl: 0.487517 loss: 2.444576 eta: 1 day, 8:06:07 batch_cost: 0.9541 data_cost: 0.0052 ips: 58.6968 images/s [03/17 19:30:06] ppdet.engine INFO: Epoch: [54] [160/523] learning_rate: 0.258335 loss_vfl: 1.334716 loss_bbox: 0.639165 loss_dfl: 0.477665 loss: 2.463858 eta: 1 day, 8:05:53 batch_cost: 0.9442 data_cost: 0.0047 ips: 59.3067 images/s [03/17 19:30:29] ppdet.engine INFO: Epoch: [54] [180/523] learning_rate: 0.258305 loss_vfl: 1.308827 loss_bbox: 0.619604 loss_dfl: 0.475338 loss: 2.399309 eta: 1 day, 8:05:42 batch_cost: 0.9714 data_cost: 0.0034 ips: 57.6473 images/s [03/17 19:30:49] ppdet.engine INFO: Epoch: [54] [200/523] learning_rate: 0.258275 loss_vfl: 1.360816 loss_bbox: 0.652198 loss_dfl: 0.491585 loss: 2.471224 eta: 1 day, 8:05:23 batch_cost: 0.8911 data_cost: 0.0046 ips: 62.8465 images/s [03/17 19:31:09] ppdet.engine INFO: Epoch: [54] [220/523] learning_rate: 0.258245 loss_vfl: 1.334816 loss_bbox: 0.632292 loss_dfl: 0.481972 loss: 2.449656 eta: 1 day, 8:05:05 batch_cost: 0.8947 data_cost: 0.0029 ips: 62.5943 images/s [03/17 19:31:27] ppdet.engine INFO: Epoch: [54] [240/523] learning_rate: 0.258215 loss_vfl: 1.299479 loss_bbox: 0.612066 loss_dfl: 0.458492 loss: 2.386501 eta: 1 day, 8:04:41 batch_cost: 0.8316 data_cost: 0.0007 ips: 67.3411 images/s [03/17 19:31:45] ppdet.engine INFO: Epoch: [54] [260/523] learning_rate: 0.258185 loss_vfl: 1.388443 loss_bbox: 0.660545 loss_dfl: 0.504302 loss: 2.582781 eta: 1 day, 8:04:10 batch_cost: 0.7585 data_cost: 0.0017 ips: 73.8332 images/s [03/17 19:32:06] ppdet.engine INFO: Epoch: [54] [280/523] learning_rate: 0.258155 loss_vfl: 1.336670 loss_bbox: 0.626973 loss_dfl: 0.468265 loss: 2.455564 eta: 1 day, 8:03:55 batch_cost: 0.9342 data_cost: 0.0028 ips: 59.9425 images/s [03/17 19:32:27] ppdet.engine INFO: Epoch: [54] [300/523] learning_rate: 0.258125 loss_vfl: 1.278221 loss_bbox: 0.628115 loss_dfl: 0.478625 loss: 2.357415 eta: 1 day, 8:03:41 batch_cost: 0.9380 data_cost: 0.0030 ips: 59.7021 images/s [03/17 19:32:48] ppdet.engine INFO: Epoch: [54] [320/523] learning_rate: 0.258094 loss_vfl: 1.198704 loss_bbox: 0.592129 loss_dfl: 0.447485 loss: 2.254977 eta: 1 day, 8:03:24 batch_cost: 0.9183 data_cost: 0.0075 ips: 60.9814 images/s [03/17 19:33:10] ppdet.engine INFO: Epoch: [54] [340/523] learning_rate: 0.258064 loss_vfl: 1.244032 loss_bbox: 0.609695 loss_dfl: 0.450454 loss: 2.319655 eta: 1 day, 8:03:17 batch_cost: 1.0118 data_cost: 0.0027 ips: 55.3470 images/s [03/17 19:33:32] ppdet.engine INFO: Epoch: [54] [360/523] learning_rate: 0.258034 loss_vfl: 1.354050 loss_bbox: 0.622768 loss_dfl: 0.480834 loss: 2.504228 eta: 1 day, 8:03:04 batch_cost: 0.9641 data_cost: 0.0019 ips: 58.0847 images/s [03/17 19:33:52] ppdet.engine INFO: Epoch: [54] [380/523] learning_rate: 0.258004 loss_vfl: 1.299015 loss_bbox: 0.624585 loss_dfl: 0.468126 loss: 2.401784 eta: 1 day, 8:02:45 batch_cost: 0.8859 data_cost: 0.0014 ips: 63.2103 images/s [03/17 19:34:14] ppdet.engine INFO: Epoch: [54] [400/523] learning_rate: 0.257974 loss_vfl: 1.298966 loss_bbox: 0.616325 loss_dfl: 0.486499 loss: 2.412277 eta: 1 day, 8:02:33 batch_cost: 0.9638 data_cost: 0.0057 ips: 58.1004 images/s [03/17 19:34:36] ppdet.engine INFO: Epoch: [54] [420/523] learning_rate: 0.257943 loss_vfl: 1.271238 loss_bbox: 0.617164 loss_dfl: 0.461780 loss: 2.346374 eta: 1 day, 8:02:23 batch_cost: 0.9868 data_cost: 0.0047 ips: 56.7474 images/s [03/17 19:34:58] ppdet.engine INFO: Epoch: [54] [440/523] learning_rate: 0.257913 loss_vfl: 1.335580 loss_bbox: 0.651817 loss_dfl: 0.500492 loss: 2.501730 eta: 1 day, 8:02:16 batch_cost: 1.0213 data_cost: 0.0025 ips: 54.8317 images/s [03/17 19:35:17] ppdet.engine INFO: Epoch: [54] [460/523] learning_rate: 0.257883 loss_vfl: 1.346093 loss_bbox: 0.650976 loss_dfl: 0.492157 loss: 2.496138 eta: 1 day, 8:01:56 batch_cost: 0.8801 data_cost: 0.0054 ips: 63.6317 images/s [03/17 19:35:41] ppdet.engine INFO: Epoch: [54] [480/523] learning_rate: 0.257852 loss_vfl: 1.336129 loss_bbox: 0.621502 loss_dfl: 0.470386 loss: 2.416988 eta: 1 day, 8:01:54 batch_cost: 1.0782 data_cost: 0.0035 ips: 51.9368 images/s [03/17 19:35:58] ppdet.engine INFO: Epoch: [54] [500/523] learning_rate: 0.257822 loss_vfl: 1.305749 loss_bbox: 0.617140 loss_dfl: 0.472857 loss: 2.432061 eta: 1 day, 8:01:26 batch_cost: 0.7837 data_cost: 0.0040 ips: 71.4514 images/s [03/17 19:36:14] ppdet.engine INFO: Epoch: [54] [520/523] learning_rate: 0.257792 loss_vfl: 1.254322 loss_bbox: 0.597464 loss_dfl: 0.457413 loss: 2.299647 eta: 1 day, 8:00:49 batch_cost: 0.6928 data_cost: 0.0041 ips: 80.8294 images/s [03/17 19:36:22] ppdet.engine INFO: Epoch: [55] [ 0/523] learning_rate: 0.257787 loss_vfl: 1.275743 loss_bbox: 0.597464 loss_dfl: 0.471047 loss: 2.340958 eta: 1 day, 8:01:08 batch_cost: 0.9432 data_cost: 0.2916 ips: 59.3753 images/s [03/17 19:36:45] ppdet.engine INFO: Epoch: [55] [ 20/523] learning_rate: 0.257757 loss_vfl: 1.339367 loss_bbox: 0.675271 loss_dfl: 0.505545 loss: 2.573602 eta: 1 day, 8:00:53 batch_cost: 0.9364 data_cost: 0.0306 ips: 59.8018 images/s [03/17 19:37:05] ppdet.engine INFO: Epoch: [55] [ 40/523] learning_rate: 0.257726 loss_vfl: 1.254660 loss_bbox: 0.623596 loss_dfl: 0.461520 loss: 2.371864 eta: 1 day, 8:00:26 batch_cost: 0.7994 data_cost: 0.0060 ips: 70.0553 images/s [03/17 19:37:26] ppdet.engine INFO: Epoch: [55] [ 60/523] learning_rate: 0.257696 loss_vfl: 1.344166 loss_bbox: 0.652135 loss_dfl: 0.493419 loss: 2.477351 eta: 1 day, 7:59:59 batch_cost: 0.7947 data_cost: 0.0114 ips: 70.4710 images/s [03/17 19:37:49] ppdet.engine INFO: Epoch: [55] [ 80/523] learning_rate: 0.257666 loss_vfl: 1.231909 loss_bbox: 0.603047 loss_dfl: 0.445880 loss: 2.264785 eta: 1 day, 7:59:48 batch_cost: 0.9829 data_cost: 0.2199 ips: 56.9719 images/s [03/17 19:38:10] ppdet.engine INFO: Epoch: [55] [100/523] learning_rate: 0.257635 loss_vfl: 1.365668 loss_bbox: 0.650012 loss_dfl: 0.480668 loss: 2.490135 eta: 1 day, 7:59:33 batch_cost: 0.9265 data_cost: 0.1570 ips: 60.4402 images/s [03/17 19:38:29] ppdet.engine INFO: Epoch: [55] [120/523] learning_rate: 0.257605 loss_vfl: 1.256322 loss_bbox: 0.605517 loss_dfl: 0.482507 loss: 2.318377 eta: 1 day, 7:59:10 batch_cost: 0.8448 data_cost: 0.1381 ips: 66.2882 images/s [03/17 19:38:53] ppdet.engine INFO: Epoch: [55] [140/523] learning_rate: 0.257574 loss_vfl: 1.344458 loss_bbox: 0.670162 loss_dfl: 0.495105 loss: 2.509724 eta: 1 day, 7:59:01 batch_cost: 1.0058 data_cost: 0.1683 ips: 55.6748 images/s [03/17 19:39:13] ppdet.engine INFO: Epoch: [55] [160/523] learning_rate: 0.257544 loss_vfl: 1.269562 loss_bbox: 0.611380 loss_dfl: 0.473901 loss: 2.356097 eta: 1 day, 7:58:37 batch_cost: 0.8312 data_cost: 0.0493 ips: 67.3727 images/s [03/17 19:39:33] ppdet.engine INFO: Epoch: [55] [180/523] learning_rate: 0.257513 loss_vfl: 1.320572 loss_bbox: 0.613614 loss_dfl: 0.493143 loss: 2.476461 eta: 1 day, 7:58:18 batch_cost: 0.8881 data_cost: 0.0052 ips: 63.0542 images/s [03/17 19:39:53] ppdet.engine INFO: Epoch: [55] [200/523] learning_rate: 0.257483 loss_vfl: 1.272677 loss_bbox: 0.602807 loss_dfl: 0.459255 loss: 2.325504 eta: 1 day, 7:57:52 batch_cost: 0.8061 data_cost: 0.0032 ips: 69.4716 images/s [03/17 19:40:14] ppdet.engine INFO: Epoch: [55] [220/523] learning_rate: 0.257452 loss_vfl: 1.331585 loss_bbox: 0.639565 loss_dfl: 0.486479 loss: 2.475092 eta: 1 day, 7:57:29 batch_cost: 0.8394 data_cost: 0.0071 ips: 66.7127 images/s [03/17 19:40:34] ppdet.engine INFO: Epoch: [55] [240/523] learning_rate: 0.257422 loss_vfl: 1.351208 loss_bbox: 0.651215 loss_dfl: 0.488709 loss: 2.485765 eta: 1 day, 7:57:08 batch_cost: 0.8670 data_cost: 0.0130 ips: 64.5880 images/s [03/17 19:40:54] ppdet.engine INFO: Epoch: [55] [260/523] learning_rate: 0.257391 loss_vfl: 1.277138 loss_bbox: 0.596652 loss_dfl: 0.458714 loss: 2.313771 eta: 1 day, 7:56:43 batch_cost: 0.8240 data_cost: 0.0303 ips: 67.9587 images/s [03/17 19:41:12] ppdet.engine INFO: Epoch: [55] 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0.618940 loss_dfl: 0.491988 loss: 2.457176 eta: 1 day, 7:54:39 batch_cost: 0.8893 data_cost: 0.0651 ips: 62.9673 images/s [03/17 19:42:53] ppdet.engine INFO: Epoch: [55] [380/523] learning_rate: 0.257207 loss_vfl: 1.355121 loss_bbox: 0.666394 loss_dfl: 0.502665 loss: 2.535905 eta: 1 day, 7:54:26 batch_cost: 0.9490 data_cost: 0.1941 ips: 59.0112 images/s [03/17 19:43:13] ppdet.engine INFO: Epoch: [55] [400/523] learning_rate: 0.257176 loss_vfl: 1.393240 loss_bbox: 0.651550 loss_dfl: 0.494115 loss: 2.532589 eta: 1 day, 7:54:01 batch_cost: 0.8236 data_cost: 0.0983 ips: 67.9968 images/s [03/17 19:43:34] ppdet.engine INFO: Epoch: [55] [420/523] learning_rate: 0.257145 loss_vfl: 1.332443 loss_bbox: 0.627964 loss_dfl: 0.489063 loss: 2.442789 eta: 1 day, 7:53:39 batch_cost: 0.8498 data_cost: 0.0028 ips: 65.9009 images/s [03/17 19:43:54] ppdet.engine INFO: Epoch: [55] [440/523] learning_rate: 0.257115 loss_vfl: 1.287082 loss_bbox: 0.628261 loss_dfl: 0.471684 loss: 2.433024 eta: 1 day, 7:53:12 batch_cost: 0.7981 data_cost: 0.0029 ips: 70.1636 images/s [03/17 19:44:14] ppdet.engine INFO: Epoch: [55] [460/523] learning_rate: 0.257084 loss_vfl: 1.309561 loss_bbox: 0.636073 loss_dfl: 0.485337 loss: 2.465295 eta: 1 day, 7:52:51 batch_cost: 0.8665 data_cost: 0.0189 ips: 64.6283 images/s [03/17 19:44:35] ppdet.engine INFO: Epoch: [55] [480/523] learning_rate: 0.257053 loss_vfl: 1.304621 loss_bbox: 0.608998 loss_dfl: 0.472591 loss: 2.407891 eta: 1 day, 7:52:32 batch_cost: 0.8869 data_cost: 0.0044 ips: 63.1416 images/s [03/17 19:44:57] ppdet.engine INFO: Epoch: [55] [500/523] learning_rate: 0.257022 loss_vfl: 1.286563 loss_bbox: 0.631785 loss_dfl: 0.463945 loss: 2.404198 eta: 1 day, 7:52:19 batch_cost: 0.9499 data_cost: 0.0052 ips: 58.9524 images/s [03/17 19:45:14] ppdet.engine INFO: Epoch: [55] [520/523] learning_rate: 0.256991 loss_vfl: 1.224671 loss_bbox: 0.613933 loss_dfl: 0.459020 loss: 2.293675 eta: 1 day, 7:51:44 batch_cost: 0.7119 data_cost: 0.0027 ips: 78.6652 images/s [03/17 19:45:27] ppdet.engine INFO: Epoch: [56] [ 0/523] learning_rate: 0.256987 loss_vfl: 1.233362 loss_bbox: 0.622195 loss_dfl: 0.460503 loss: 2.323695 eta: 1 day, 7:52:22 batch_cost: 1.1778 data_cost: 0.3315 ips: 47.5474 images/s [03/17 19:45:46] ppdet.engine INFO: Epoch: [56] [ 20/523] learning_rate: 0.256956 loss_vfl: 1.325736 loss_bbox: 0.642510 loss_dfl: 0.477318 loss: 2.447815 eta: 1 day, 7:52:01 batch_cost: 0.8611 data_cost: 0.0032 ips: 65.0333 images/s [03/17 19:46:06] ppdet.engine INFO: Epoch: [56] [ 40/523] learning_rate: 0.256925 loss_vfl: 1.304023 loss_bbox: 0.643381 loss_dfl: 0.475234 loss: 2.424007 eta: 1 day, 7:51:38 batch_cost: 0.8349 data_cost: 0.0004 ips: 67.0713 images/s [03/17 19:46:23] ppdet.engine INFO: Epoch: [56] [ 60/523] learning_rate: 0.256894 loss_vfl: 1.354634 loss_bbox: 0.652300 loss_dfl: 0.488630 loss: 2.489842 eta: 1 day, 7:51:06 batch_cost: 0.7435 data_cost: 0.0046 ips: 75.3168 images/s [03/17 19:46:42] ppdet.engine INFO: Epoch: [56] [ 80/523] learning_rate: 0.256863 loss_vfl: 1.205284 loss_bbox: 0.601317 loss_dfl: 0.455027 loss: 2.254179 eta: 1 day, 7:50:34 batch_cost: 0.7330 data_cost: 0.0023 ips: 76.3980 images/s [03/17 19:47:04] ppdet.engine INFO: Epoch: [56] [100/523] learning_rate: 0.256832 loss_vfl: 1.267648 loss_bbox: 0.607600 loss_dfl: 0.466320 loss: 2.386625 eta: 1 day, 7:50:26 batch_cost: 1.0225 data_cost: 0.1230 ips: 54.7657 images/s [03/17 19:47:26] ppdet.engine INFO: Epoch: [56] [120/523] learning_rate: 0.256801 loss_vfl: 1.301772 loss_bbox: 0.616037 loss_dfl: 0.468645 loss: 2.384848 eta: 1 day, 7:50:08 batch_cost: 0.8930 data_cost: 0.1306 ips: 62.7091 images/s [03/17 19:47:47] ppdet.engine INFO: Epoch: [56] [140/523] learning_rate: 0.256770 loss_vfl: 1.367141 loss_bbox: 0.661018 loss_dfl: 0.502709 loss: 2.523109 eta: 1 day, 7:49:56 batch_cost: 0.9638 data_cost: 0.1748 ips: 58.1028 images/s [03/17 19:48:09] ppdet.engine INFO: Epoch: [56] [160/523] learning_rate: 0.256739 loss_vfl: 1.244225 loss_bbox: 0.606140 loss_dfl: 0.465002 loss: 2.289887 eta: 1 day, 7:49:36 batch_cost: 0.8744 data_cost: 0.1817 ips: 64.0419 images/s [03/17 19:48:30] ppdet.engine INFO: Epoch: [56] [180/523] learning_rate: 0.256708 loss_vfl: 1.286077 loss_bbox: 0.628323 loss_dfl: 0.476057 loss: 2.411765 eta: 1 day, 7:49:18 batch_cost: 0.9023 data_cost: 0.0841 ips: 62.0642 images/s [03/17 19:48:49] ppdet.engine INFO: Epoch: [56] [200/523] learning_rate: 0.256677 loss_vfl: 1.365503 loss_bbox: 0.641190 loss_dfl: 0.491091 loss: 2.490869 eta: 1 day, 7:48:51 batch_cost: 0.7943 data_cost: 0.0651 ips: 70.5044 images/s [03/17 19:49:11] ppdet.engine INFO: Epoch: [56] [220/523] learning_rate: 0.256646 loss_vfl: 1.261115 loss_bbox: 0.589314 loss_dfl: 0.460576 loss: 2.324898 eta: 1 day, 7:48:43 batch_cost: 1.0173 data_cost: 0.2156 ips: 55.0487 images/s [03/17 19:49:33] ppdet.engine INFO: Epoch: [56] [240/523] learning_rate: 0.256615 loss_vfl: 1.240788 loss_bbox: 0.593802 loss_dfl: 0.449267 loss: 2.312098 eta: 1 day, 7:48:19 batch_cost: 0.8319 data_cost: 0.0159 ips: 67.3136 images/s [03/17 19:49:54] ppdet.engine INFO: Epoch: [56] [260/523] learning_rate: 0.256584 loss_vfl: 1.328453 loss_bbox: 0.644404 loss_dfl: 0.481257 loss: 2.465941 eta: 1 day, 7:48:02 batch_cost: 0.9071 data_cost: 0.0124 ips: 61.7373 images/s [03/17 19:50:16] ppdet.engine INFO: Epoch: [56] [280/523] learning_rate: 0.256553 loss_vfl: 1.277525 loss_bbox: 0.665914 loss_dfl: 0.486143 loss: 2.428384 eta: 1 day, 7:47:47 batch_cost: 0.9336 data_cost: 0.0102 ips: 59.9835 images/s [03/17 19:50:38] ppdet.engine INFO: Epoch: [56] [300/523] learning_rate: 0.256522 loss_vfl: 1.184304 loss_bbox: 0.577030 loss_dfl: 0.438969 loss: 2.186085 eta: 1 day, 7:47:35 batch_cost: 0.9703 data_cost: 0.0128 ips: 57.7147 images/s [03/17 19:50:56] ppdet.engine INFO: Epoch: [56] [320/523] learning_rate: 0.256491 loss_vfl: 1.359862 loss_bbox: 0.652481 loss_dfl: 0.481311 loss: 2.512140 eta: 1 day, 7:47:06 batch_cost: 0.7641 data_cost: 0.0278 ips: 73.2918 images/s [03/17 19:51:14] ppdet.engine INFO: Epoch: [56] [340/523] learning_rate: 0.256460 loss_vfl: 1.326048 loss_bbox: 0.651287 loss_dfl: 0.490415 loss: 2.492116 eta: 1 day, 7:46:36 batch_cost: 0.7582 data_cost: 0.0857 ips: 73.8559 images/s [03/17 19:51:34] ppdet.engine INFO: Epoch: [56] [360/523] learning_rate: 0.256428 loss_vfl: 1.306016 loss_bbox: 0.603915 loss_dfl: 0.460364 loss: 2.370986 eta: 1 day, 7:46:09 batch_cost: 0.8006 data_cost: 0.0073 ips: 69.9467 images/s [03/17 19:51:54] ppdet.engine INFO: Epoch: [56] [380/523] learning_rate: 0.256397 loss_vfl: 1.304862 loss_bbox: 0.622728 loss_dfl: 0.477435 loss: 2.391102 eta: 1 day, 7:45:46 batch_cost: 0.8360 data_cost: 0.0992 ips: 66.9868 images/s [03/17 19:52:16] ppdet.engine INFO: Epoch: [56] [400/523] learning_rate: 0.256366 loss_vfl: 1.287026 loss_bbox: 0.618027 loss_dfl: 0.464776 loss: 2.385219 eta: 1 day, 7:45:33 batch_cost: 0.9579 data_cost: 0.1207 ips: 58.4624 images/s [03/17 19:52:35] ppdet.engine INFO: Epoch: [56] [420/523] learning_rate: 0.256335 loss_vfl: 1.241191 loss_bbox: 0.612852 loss_dfl: 0.467030 loss: 2.336159 eta: 1 day, 7:45:07 batch_cost: 0.8010 data_cost: 0.0396 ips: 69.9085 images/s [03/17 19:52:55] ppdet.engine INFO: Epoch: [56] [440/523] learning_rate: 0.256303 loss_vfl: 1.311357 loss_bbox: 0.634927 loss_dfl: 0.476996 loss: 2.418678 eta: 1 day, 7:44:44 batch_cost: 0.8512 data_cost: 0.1601 ips: 65.7866 images/s [03/17 19:53:17] ppdet.engine INFO: Epoch: [56] [460/523] learning_rate: 0.256272 loss_vfl: 1.250842 loss_bbox: 0.600752 loss_dfl: 0.456209 loss: 2.323695 eta: 1 day, 7:44:27 batch_cost: 0.9056 data_cost: 0.1654 ips: 61.8349 images/s [03/17 19:53:37] ppdet.engine INFO: Epoch: [56] [480/523] learning_rate: 0.256241 loss_vfl: 1.314143 loss_bbox: 0.601318 loss_dfl: 0.472881 loss: 2.435505 eta: 1 day, 7:44:01 batch_cost: 0.8006 data_cost: 0.0584 ips: 69.9460 images/s [03/17 19:53:59] ppdet.engine INFO: Epoch: [56] [500/523] learning_rate: 0.256210 loss_vfl: 1.317537 loss_bbox: 0.638360 loss_dfl: 0.483335 loss: 2.403045 eta: 1 day, 7:43:47 batch_cost: 0.9508 data_cost: 0.0591 ips: 58.8948 images/s [03/17 19:54:17] ppdet.engine INFO: Epoch: [56] [520/523] learning_rate: 0.256178 loss_vfl: 1.237566 loss_bbox: 0.585240 loss_dfl: 0.448476 loss: 2.278613 eta: 1 day, 7:43:16 batch_cost: 0.7481 data_cost: 0.0526 ips: 74.8536 images/s [03/17 19:54:29] ppdet.engine INFO: Epoch: [57] [ 0/523] learning_rate: 0.256174 loss_vfl: 1.274993 loss_bbox: 0.590131 loss_dfl: 0.453261 loss: 2.280510 eta: 1 day, 7:43:47 batch_cost: 1.1482 data_cost: 0.3922 ips: 48.7724 images/s [03/17 19:54:50] ppdet.engine INFO: Epoch: [57] [ 20/523] learning_rate: 0.256142 loss_vfl: 1.265809 loss_bbox: 0.630141 loss_dfl: 0.482871 loss: 2.403034 eta: 1 day, 7:43:30 batch_cost: 0.9003 data_cost: 0.0062 ips: 62.2002 images/s [03/17 19:55:08] ppdet.engine INFO: Epoch: [57] [ 40/523] learning_rate: 0.256111 loss_vfl: 1.264286 loss_bbox: 0.645332 loss_dfl: 0.467658 loss: 2.376903 eta: 1 day, 7:42:58 batch_cost: 0.7347 data_cost: 0.0077 ips: 76.2245 images/s [03/17 19:55:29] ppdet.engine INFO: Epoch: [57] [ 60/523] learning_rate: 0.256079 loss_vfl: 1.281718 loss_bbox: 0.603908 loss_dfl: 0.471340 loss: 2.356965 eta: 1 day, 7:42:41 batch_cost: 0.9158 data_cost: 0.0105 ips: 61.1466 images/s [03/17 19:55:48] ppdet.engine INFO: Epoch: [57] [ 80/523] learning_rate: 0.256048 loss_vfl: 1.268440 loss_bbox: 0.644847 loss_dfl: 0.478393 loss: 2.408688 eta: 1 day, 7:42:10 batch_cost: 0.7435 data_cost: 0.0915 ips: 75.3194 images/s [03/17 19:56:06] ppdet.engine INFO: Epoch: [57] [100/523] learning_rate: 0.256017 loss_vfl: 1.321922 loss_bbox: 0.609064 loss_dfl: 0.474817 loss: 2.432199 eta: 1 day, 7:41:42 batch_cost: 0.7873 data_cost: 0.0095 ips: 71.1252 images/s [03/17 19:56:25] ppdet.engine INFO: Epoch: [57] [120/523] learning_rate: 0.255985 loss_vfl: 1.304739 loss_bbox: 0.602055 loss_dfl: 0.464651 loss: 2.410400 eta: 1 day, 7:41:15 batch_cost: 0.7833 data_cost: 0.0062 ips: 71.4917 images/s [03/17 19:56:44] ppdet.engine INFO: Epoch: [57] [140/523] learning_rate: 0.255954 loss_vfl: 1.292822 loss_bbox: 0.655908 loss_dfl: 0.492868 loss: 2.481165 eta: 1 day, 7:40:52 batch_cost: 0.8450 data_cost: 0.0085 ips: 66.2697 images/s [03/17 19:57:07] ppdet.engine INFO: Epoch: [57] [160/523] learning_rate: 0.255922 loss_vfl: 1.303704 loss_bbox: 0.625806 loss_dfl: 0.473984 loss: 2.440774 eta: 1 day, 7:40:38 batch_cost: 0.9386 data_cost: 0.2099 ips: 59.6641 images/s [03/17 19:57:27] ppdet.engine INFO: Epoch: [57] [180/523] learning_rate: 0.255891 loss_vfl: 1.321078 loss_bbox: 0.624349 loss_dfl: 0.472897 loss: 2.425219 eta: 1 day, 7:40:14 batch_cost: 0.8267 data_cost: 0.0117 ips: 67.7427 images/s [03/17 19:57:48] ppdet.engine INFO: Epoch: [57] [200/523] learning_rate: 0.255859 loss_vfl: 1.361681 loss_bbox: 0.652758 loss_dfl: 0.485784 loss: 2.483912 eta: 1 day, 7:39:53 batch_cost: 0.8627 data_cost: 0.0834 ips: 64.9126 images/s [03/17 19:58:09] ppdet.engine INFO: Epoch: [57] [220/523] learning_rate: 0.255828 loss_vfl: 1.273915 loss_bbox: 0.597823 loss_dfl: 0.453205 loss: 2.315477 eta: 1 day, 7:39:37 batch_cost: 0.9257 data_cost: 0.1273 ips: 60.4942 images/s [03/17 19:58:30] ppdet.engine INFO: Epoch: [57] [240/523] learning_rate: 0.255796 loss_vfl: 1.326292 loss_bbox: 0.623931 loss_dfl: 0.471708 loss: 2.410829 eta: 1 day, 7:39:21 batch_cost: 0.9181 data_cost: 0.0960 ips: 60.9950 images/s [03/17 19:58:51] ppdet.engine INFO: Epoch: [57] [260/523] learning_rate: 0.255764 loss_vfl: 1.260889 loss_bbox: 0.650660 loss_dfl: 0.480469 loss: 2.385014 eta: 1 day, 7:38:59 batch_cost: 0.8510 data_cost: 0.0657 ips: 65.8062 images/s [03/17 19:59:14] ppdet.engine INFO: Epoch: [57] [280/523] learning_rate: 0.255733 loss_vfl: 1.320166 loss_bbox: 0.609770 loss_dfl: 0.477299 loss: 2.407089 eta: 1 day, 7:38:48 batch_cost: 0.9820 data_cost: 0.1395 ips: 57.0271 images/s [03/17 19:59:33] ppdet.engine INFO: Epoch: [57] [300/523] learning_rate: 0.255701 loss_vfl: 1.305690 loss_bbox: 0.645771 loss_dfl: 0.487766 loss: 2.496641 eta: 1 day, 7:38:26 batch_cost: 0.8530 data_cost: 0.0741 ips: 65.6480 images/s [03/17 19:59:55] ppdet.engine INFO: Epoch: [57] [320/523] learning_rate: 0.255670 loss_vfl: 1.304807 loss_bbox: 0.607876 loss_dfl: 0.469056 loss: 2.401043 eta: 1 day, 7:38:08 batch_cost: 0.8982 data_cost: 0.0105 ips: 62.3492 images/s [03/17 20:00:12] ppdet.engine INFO: Epoch: [57] [340/523] learning_rate: 0.255638 loss_vfl: 1.277486 loss_bbox: 0.602890 loss_dfl: 0.461475 loss: 2.368792 eta: 1 day, 7:37:37 batch_cost: 0.7454 data_cost: 0.0640 ips: 75.1316 images/s [03/17 20:00:35] ppdet.engine INFO: Epoch: [57] [360/523] learning_rate: 0.255606 loss_vfl: 1.373428 loss_bbox: 0.628386 loss_dfl: 0.485036 loss: 2.492064 eta: 1 day, 7:37:27 batch_cost: 0.9950 data_cost: 0.2882 ips: 56.2834 images/s [03/17 20:00:53] ppdet.engine INFO: Epoch: [57] [380/523] learning_rate: 0.255575 loss_vfl: 1.292789 loss_bbox: 0.650149 loss_dfl: 0.482019 loss: 2.414492 eta: 1 day, 7:36:58 batch_cost: 0.7610 data_cost: 0.0943 ips: 73.5829 images/s [03/17 20:01:11] ppdet.engine INFO: Epoch: [57] [400/523] learning_rate: 0.255543 loss_vfl: 1.338457 loss_bbox: 0.610857 loss_dfl: 0.482920 loss: 2.417973 eta: 1 day, 7:36:28 batch_cost: 0.7619 data_cost: 0.0032 ips: 73.5046 images/s [03/17 20:01:30] ppdet.engine INFO: Epoch: [57] [420/523] learning_rate: 0.255511 loss_vfl: 1.302028 loss_bbox: 0.601031 loss_dfl: 0.454749 loss: 2.409678 eta: 1 day, 7:36:03 batch_cost: 0.8066 data_cost: 0.0046 ips: 69.4260 images/s [03/17 20:01:49] ppdet.engine INFO: Epoch: [57] [440/523] learning_rate: 0.255479 loss_vfl: 1.296625 loss_bbox: 0.611507 loss_dfl: 0.476475 loss: 2.386093 eta: 1 day, 7:35:37 batch_cost: 0.8101 data_cost: 0.0025 ips: 69.1238 images/s [03/17 20:02:10] ppdet.engine INFO: Epoch: [57] [460/523] learning_rate: 0.255448 loss_vfl: 1.252892 loss_bbox: 0.594076 loss_dfl: 0.447626 loss: 2.270552 eta: 1 day, 7:35:19 batch_cost: 0.8935 data_cost: 0.0256 ips: 62.6727 images/s [03/17 20:02:33] ppdet.engine INFO: Epoch: [57] [480/523] learning_rate: 0.255416 loss_vfl: 1.271313 loss_bbox: 0.573997 loss_dfl: 0.455366 loss: 2.284041 eta: 1 day, 7:35:07 batch_cost: 0.9677 data_cost: 0.3098 ips: 57.8669 images/s [03/17 20:02:54] ppdet.engine INFO: Epoch: [57] [500/523] learning_rate: 0.255384 loss_vfl: 1.254216 loss_bbox: 0.609599 loss_dfl: 0.460008 loss: 2.348649 eta: 1 day, 7:34:50 batch_cost: 0.9132 data_cost: 0.1433 ips: 61.3245 images/s [03/17 20:03:11] ppdet.engine INFO: Epoch: [57] [520/523] learning_rate: 0.255352 loss_vfl: 1.369251 loss_bbox: 0.673173 loss_dfl: 0.495478 loss: 2.536818 eta: 1 day, 7:34:19 batch_cost: 0.7349 data_cost: 0.0018 ips: 76.1980 images/s [03/17 20:03:24] ppdet.engine INFO: Epoch: [58] [ 0/523] learning_rate: 0.255347 loss_vfl: 1.328529 loss_bbox: 0.655549 loss_dfl: 0.485400 loss: 2.473277 eta: 1 day, 7:34:54 batch_cost: 1.2030 data_cost: 0.4150 ips: 46.5512 images/s [03/17 20:03:43] ppdet.engine INFO: Epoch: [58] [ 20/523] learning_rate: 0.255316 loss_vfl: 1.282074 loss_bbox: 0.617512 loss_dfl: 0.468937 loss: 2.380623 eta: 1 day, 7:34:23 batch_cost: 0.7344 data_cost: 0.0137 ips: 76.2564 images/s [03/17 20:04:04] ppdet.engine INFO: Epoch: [58] [ 40/523] learning_rate: 0.255284 loss_vfl: 1.294580 loss_bbox: 0.617576 loss_dfl: 0.475747 loss: 2.429369 eta: 1 day, 7:34:02 batch_cost: 0.8652 data_cost: 0.0094 ips: 64.7254 images/s [03/17 20:04:24] ppdet.engine INFO: Epoch: [58] [ 60/523] learning_rate: 0.255252 loss_vfl: 1.231942 loss_bbox: 0.597989 loss_dfl: 0.446120 loss: 2.263911 eta: 1 day, 7:33:46 batch_cost: 0.9191 data_cost: 0.0070 ips: 60.9301 images/s [03/17 20:04:45] ppdet.engine INFO: Epoch: [58] [ 80/523] learning_rate: 0.255220 loss_vfl: 1.297402 loss_bbox: 0.601979 loss_dfl: 0.472647 loss: 2.363595 eta: 1 day, 7:33:23 batch_cost: 0.8452 data_cost: 0.0502 ips: 66.2587 images/s [03/17 20:05:05] ppdet.engine INFO: Epoch: [58] [100/523] learning_rate: 0.255188 loss_vfl: 1.258379 loss_bbox: 0.603406 loss_dfl: 0.444244 loss: 2.311987 eta: 1 day, 7:33:01 batch_cost: 0.8494 data_cost: 0.0590 ips: 65.9281 images/s [03/17 20:05:26] ppdet.engine INFO: Epoch: [58] [120/523] learning_rate: 0.255156 loss_vfl: 1.245571 loss_bbox: 0.602145 loss_dfl: 0.460480 loss: 2.307374 eta: 1 day, 7:32:39 batch_cost: 0.8501 data_cost: 0.1316 ips: 65.8770 images/s [03/17 20:05:47] ppdet.engine INFO: Epoch: [58] [140/523] learning_rate: 0.255124 loss_vfl: 1.372887 loss_bbox: 0.637561 loss_dfl: 0.485182 loss: 2.508014 eta: 1 day, 7:32:25 batch_cost: 0.9475 data_cost: 0.1953 ips: 59.1012 images/s [03/17 20:06:04] ppdet.engine INFO: Epoch: [58] [160/523] learning_rate: 0.255092 loss_vfl: 1.359750 loss_bbox: 0.664325 loss_dfl: 0.501642 loss: 2.529465 eta: 1 day, 7:31:54 batch_cost: 0.7394 data_cost: 0.0037 ips: 75.7383 images/s [03/17 20:06:21] ppdet.engine INFO: Epoch: [58] [180/523] learning_rate: 0.255060 loss_vfl: 1.290018 loss_bbox: 0.617878 loss_dfl: 0.464480 loss: 2.349949 eta: 1 day, 7:31:13 batch_cost: 0.6171 data_cost: 0.0013 ips: 90.7488 images/s [03/17 20:06:41] ppdet.engine INFO: Epoch: [58] [200/523] learning_rate: 0.255028 loss_vfl: 1.249472 loss_bbox: 0.599999 loss_dfl: 0.465424 loss: 2.318971 eta: 1 day, 7:30:55 batch_cost: 0.8948 data_cost: 0.0047 ips: 62.5823 images/s [03/17 20:07:01] ppdet.engine INFO: Epoch: [58] [220/523] learning_rate: 0.254996 loss_vfl: 1.359294 loss_bbox: 0.622861 loss_dfl: 0.475920 loss: 2.461897 eta: 1 day, 7:30:33 batch_cost: 0.8561 data_cost: 0.0028 ips: 65.4107 images/s [03/17 20:07:23] ppdet.engine INFO: Epoch: [58] [240/523] learning_rate: 0.254964 loss_vfl: 1.256202 loss_bbox: 0.609018 loss_dfl: 0.463857 loss: 2.319619 eta: 1 day, 7:30:16 batch_cost: 0.9028 data_cost: 0.0212 ips: 62.0281 images/s [03/17 20:07:43] ppdet.engine INFO: Epoch: [58] [260/523] learning_rate: 0.254932 loss_vfl: 1.253747 loss_bbox: 0.600380 loss_dfl: 0.457399 loss: 2.334615 eta: 1 day, 7:29:46 batch_cost: 0.7565 data_cost: 0.0027 ips: 74.0236 images/s [03/17 20:08:04] ppdet.engine INFO: Epoch: [58] 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0.619660 loss_dfl: 0.469424 loss: 2.371646 eta: 1 day, 7:28:03 batch_cost: 0.8991 data_cost: 0.0347 ips: 62.2869 images/s [03/17 20:09:47] ppdet.engine INFO: Epoch: [58] [380/523] learning_rate: 0.254739 loss_vfl: 1.249365 loss_bbox: 0.605414 loss_dfl: 0.453546 loss: 2.306194 eta: 1 day, 7:27:43 batch_cost: 0.8716 data_cost: 0.0073 ips: 64.2525 images/s [03/17 20:10:08] ppdet.engine INFO: Epoch: [58] [400/523] learning_rate: 0.254707 loss_vfl: 1.273038 loss_bbox: 0.599759 loss_dfl: 0.467250 loss: 2.337400 eta: 1 day, 7:27:18 batch_cost: 0.8170 data_cost: 0.0005 ips: 68.5452 images/s [03/17 20:10:28] ppdet.engine INFO: Epoch: [58] [420/523] learning_rate: 0.254675 loss_vfl: 1.235955 loss_bbox: 0.620803 loss_dfl: 0.455135 loss: 2.313499 eta: 1 day, 7:26:55 batch_cost: 0.8368 data_cost: 0.0028 ips: 66.9218 images/s [03/17 20:10:48] ppdet.engine INFO: Epoch: [58] [440/523] learning_rate: 0.254643 loss_vfl: 1.343157 loss_bbox: 0.644379 loss_dfl: 0.484048 loss: 2.497683 eta: 1 day, 7:26:31 batch_cost: 0.8242 data_cost: 0.0098 ips: 67.9439 images/s [03/17 20:11:05] ppdet.engine INFO: Epoch: [58] [460/523] learning_rate: 0.254610 loss_vfl: 1.255856 loss_bbox: 0.603182 loss_dfl: 0.456411 loss: 2.300589 eta: 1 day, 7:25:59 batch_cost: 0.7224 data_cost: 0.0026 ips: 77.5205 images/s [03/17 20:11:23] ppdet.engine INFO: Epoch: [58] [480/523] learning_rate: 0.254578 loss_vfl: 1.382623 loss_bbox: 0.648407 loss_dfl: 0.509432 loss: 2.548037 eta: 1 day, 7:25:35 batch_cost: 0.8183 data_cost: 0.0025 ips: 68.4316 images/s [03/17 20:11:43] ppdet.engine INFO: Epoch: [58] [500/523] learning_rate: 0.254546 loss_vfl: 1.299521 loss_bbox: 0.630592 loss_dfl: 0.474171 loss: 2.421494 eta: 1 day, 7:25:12 batch_cost: 0.8389 data_cost: 0.0030 ips: 66.7531 images/s [03/17 20:12:01] ppdet.engine INFO: Epoch: [58] [520/523] learning_rate: 0.254513 loss_vfl: 1.235250 loss_bbox: 0.600126 loss_dfl: 0.460057 loss: 2.294268 eta: 1 day, 7:24:43 batch_cost: 0.7639 data_cost: 0.0120 ips: 73.3113 images/s [03/17 20:12:12] ppdet.engine INFO: Epoch: [59] [ 0/523] learning_rate: 0.254509 loss_vfl: 1.267109 loss_bbox: 0.611893 loss_dfl: 0.476116 loss: 2.373441 eta: 1 day, 7:25:10 batch_cost: 1.0773 data_cost: 0.3078 ips: 51.9807 images/s [03/17 20:12:33] ppdet.engine INFO: Epoch: [59] [ 20/523] learning_rate: 0.254476 loss_vfl: 1.226351 loss_bbox: 0.597017 loss_dfl: 0.459554 loss: 2.273778 eta: 1 day, 7:24:52 batch_cost: 0.8879 data_cost: 0.0028 ips: 63.0725 images/s [03/17 20:12:54] ppdet.engine INFO: Epoch: [59] [ 40/523] learning_rate: 0.254444 loss_vfl: 1.308299 loss_bbox: 0.627657 loss_dfl: 0.477702 loss: 2.413317 eta: 1 day, 7:24:33 batch_cost: 0.8914 data_cost: 0.0521 ips: 62.8209 images/s [03/17 20:13:15] ppdet.engine INFO: Epoch: [59] [ 60/523] learning_rate: 0.254412 loss_vfl: 1.277673 loss_bbox: 0.630162 loss_dfl: 0.481378 loss: 2.394267 eta: 1 day, 7:24:18 batch_cost: 0.9294 data_cost: 0.1271 ips: 60.2519 images/s [03/17 20:13:35] ppdet.engine INFO: Epoch: [59] [ 80/523] learning_rate: 0.254379 loss_vfl: 1.301588 loss_bbox: 0.599954 loss_dfl: 0.457611 loss: 2.377682 eta: 1 day, 7:23:55 batch_cost: 0.8335 data_cost: 0.1376 ips: 67.1837 images/s [03/17 20:13:56] ppdet.engine INFO: Epoch: [59] [100/523] learning_rate: 0.254347 loss_vfl: 1.301532 loss_bbox: 0.613328 loss_dfl: 0.477506 loss: 2.393512 eta: 1 day, 7:23:40 batch_cost: 0.9350 data_cost: 0.0047 ips: 59.8933 images/s [03/17 20:14:18] ppdet.engine INFO: Epoch: [59] [120/523] learning_rate: 0.254314 loss_vfl: 1.389358 loss_bbox: 0.646493 loss_dfl: 0.487151 loss: 2.562533 eta: 1 day, 7:23:18 batch_cost: 0.8559 data_cost: 0.0075 ips: 65.4256 images/s [03/17 20:14:39] ppdet.engine INFO: Epoch: [59] [140/523] learning_rate: 0.254282 loss_vfl: 1.351485 loss_bbox: 0.673795 loss_dfl: 0.508198 loss: 2.556039 eta: 1 day, 7:23:04 batch_cost: 0.9446 data_cost: 0.0030 ips: 59.2829 images/s [03/17 20:14:59] ppdet.engine INFO: Epoch: [59] [160/523] learning_rate: 0.254250 loss_vfl: 1.281808 loss_bbox: 0.603709 loss_dfl: 0.461106 loss: 2.381359 eta: 1 day, 7:22:44 batch_cost: 0.8676 data_cost: 0.0058 ips: 64.5478 images/s [03/17 20:15:20] ppdet.engine INFO: Epoch: [59] [180/523] learning_rate: 0.254217 loss_vfl: 1.284997 loss_bbox: 0.650212 loss_dfl: 0.468209 loss: 2.385285 eta: 1 day, 7:22:27 batch_cost: 0.9118 data_cost: 0.0023 ips: 61.4201 images/s [03/17 20:15:40] ppdet.engine INFO: Epoch: [59] [200/523] learning_rate: 0.254185 loss_vfl: 1.228364 loss_bbox: 0.588480 loss_dfl: 0.443433 loss: 2.250192 eta: 1 day, 7:22:10 batch_cost: 0.9038 data_cost: 0.0063 ips: 61.9586 images/s [03/17 20:15:58] ppdet.engine INFO: Epoch: [59] [220/523] learning_rate: 0.254152 loss_vfl: 1.250392 loss_bbox: 0.604833 loss_dfl: 0.456308 loss: 2.294287 eta: 1 day, 7:21:40 batch_cost: 0.7509 data_cost: 0.0030 ips: 74.5809 images/s [03/17 20:16:15] ppdet.engine INFO: Epoch: [59] [240/523] learning_rate: 0.254120 loss_vfl: 1.309910 loss_bbox: 0.611820 loss_dfl: 0.475044 loss: 2.415258 eta: 1 day, 7:21:07 batch_cost: 0.7146 data_cost: 0.0081 ips: 78.3651 images/s [03/17 20:16:32] ppdet.engine INFO: Epoch: [59] [260/523] learning_rate: 0.254087 loss_vfl: 1.347662 loss_bbox: 0.665688 loss_dfl: 0.495598 loss: 2.499523 eta: 1 day, 7:20:36 batch_cost: 0.7298 data_cost: 0.0048 ips: 76.7349 images/s [03/17 20:16:55] ppdet.engine INFO: Epoch: [59] [280/523] learning_rate: 0.254054 loss_vfl: 1.228788 loss_bbox: 0.600332 loss_dfl: 0.458607 loss: 2.286803 eta: 1 day, 7:20:28 batch_cost: 1.0200 data_cost: 0.0012 ips: 54.9012 images/s [03/17 20:17:16] ppdet.engine INFO: Epoch: [59] [300/523] learning_rate: 0.254022 loss_vfl: 1.338326 loss_bbox: 0.642156 loss_dfl: 0.490527 loss: 2.461814 eta: 1 day, 7:20:06 batch_cost: 0.8470 data_cost: 0.0079 ips: 66.1160 images/s [03/17 20:17:36] ppdet.engine INFO: Epoch: [59] [320/523] learning_rate: 0.253989 loss_vfl: 1.298494 loss_bbox: 0.602008 loss_dfl: 0.457715 loss: 2.407809 eta: 1 day, 7:19:45 batch_cost: 0.8644 data_cost: 0.0048 ips: 64.7841 images/s [03/17 20:17:57] ppdet.engine INFO: Epoch: [59] [340/523] learning_rate: 0.253957 loss_vfl: 1.226161 loss_bbox: 0.586439 loss_dfl: 0.444373 loss: 2.266485 eta: 1 day, 7:19:22 batch_cost: 0.8265 data_cost: 0.0093 ips: 67.7549 images/s [03/17 20:18:18] ppdet.engine INFO: Epoch: [59] [360/523] learning_rate: 0.253924 loss_vfl: 1.278902 loss_bbox: 0.623010 loss_dfl: 0.471454 loss: 2.389405 eta: 1 day, 7:19:06 batch_cost: 0.9315 data_cost: 0.0141 ips: 60.1204 images/s [03/17 20:18:40] ppdet.engine INFO: Epoch: [59] [380/523] learning_rate: 0.253891 loss_vfl: 1.295077 loss_bbox: 0.642096 loss_dfl: 0.488203 loss: 2.438423 eta: 1 day, 7:18:54 batch_cost: 0.9661 data_cost: 0.0180 ips: 57.9640 images/s [03/17 20:18:59] ppdet.engine INFO: Epoch: [59] [400/523] learning_rate: 0.253859 loss_vfl: 1.355582 loss_bbox: 0.650086 loss_dfl: 0.491113 loss: 2.516124 eta: 1 day, 7:18:32 batch_cost: 0.8431 data_cost: 0.0041 ips: 66.4245 images/s [03/17 20:19:19] ppdet.engine INFO: Epoch: [59] [420/523] learning_rate: 0.253826 loss_vfl: 1.335002 loss_bbox: 0.642836 loss_dfl: 0.485930 loss: 2.453340 eta: 1 day, 7:18:09 batch_cost: 0.8358 data_cost: 0.0042 ips: 66.9994 images/s [03/17 20:19:42] ppdet.engine INFO: Epoch: [59] [440/523] learning_rate: 0.253793 loss_vfl: 1.315768 loss_bbox: 0.611661 loss_dfl: 0.470165 loss: 2.398864 eta: 1 day, 7:17:58 batch_cost: 0.9894 data_cost: 0.0074 ips: 56.6006 images/s [03/17 20:20:02] ppdet.engine INFO: Epoch: [59] [460/523] learning_rate: 0.253760 loss_vfl: 1.338872 loss_bbox: 0.643457 loss_dfl: 0.488218 loss: 2.508809 eta: 1 day, 7:17:38 batch_cost: 0.8643 data_cost: 0.0095 ips: 64.7960 images/s [03/17 20:20:22] ppdet.engine INFO: Epoch: [59] [480/523] learning_rate: 0.253728 loss_vfl: 1.292372 loss_bbox: 0.602900 loss_dfl: 0.465634 loss: 2.345393 eta: 1 day, 7:17:15 batch_cost: 0.8363 data_cost: 0.0086 ips: 66.9585 images/s [03/17 20:20:43] ppdet.engine INFO: Epoch: [59] [500/523] learning_rate: 0.253695 loss_vfl: 1.266499 loss_bbox: 0.594192 loss_dfl: 0.450410 loss: 2.321824 eta: 1 day, 7:16:56 batch_cost: 0.8861 data_cost: 0.0017 ips: 63.1980 images/s [03/17 20:20:59] ppdet.engine INFO: Epoch: [59] [520/523] learning_rate: 0.253662 loss_vfl: 1.327615 loss_bbox: 0.608480 loss_dfl: 0.479952 loss: 2.439537 eta: 1 day, 7:16:21 batch_cost: 0.6863 data_cost: 0.0007 ips: 81.5988 images/s [03/17 20:21:01] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 20:21:01] ppdet.engine INFO: Eval iter: 0 [03/17 20:21:22] ppdet.engine INFO: Eval iter: 100 [03/17 20:21:33] ppdet.engine INFO: Eval iter: 200 [03/17 20:21:45] ppdet.engine INFO: Eval iter: 300 [03/17 20:21:57] ppdet.engine INFO: Eval iter: 400 [03/17 20:22:09] ppdet.engine INFO: Eval iter: 500 [03/17 20:22:20] ppdet.engine INFO: Eval iter: 600 [03/17 20:22:35] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.58s) creating index... index created! [03/17 20:22:36] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.54s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=84.66s). Accumulating evaluation results... DONE (t=16.46s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.198 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.314 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.207 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.070 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.199 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.334 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 ] = 0.359 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 ] = 0.123 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.415 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.626 [03/17 20:24:23] ppdet.engine INFO: Total sample number: 4952, averge FPS: 60.017998666717055 [03/17 20:24:23] ppdet.engine INFO: Best test bbox ap is 0.198. [03/17 20:24:23] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 20:24:24] ppdet.engine INFO: Epoch: [60] [ 0/523] learning_rate: 0.253657 loss_vfl: 1.340549 loss_bbox: 0.608480 loss_dfl: 0.479952 loss: 2.441508 eta: 1 day, 7:16:11 batch_cost: 0.5940 data_cost: 0.0004 ips: 94.2809 images/s [03/17 20:24:41] ppdet.engine INFO: Epoch: [60] [ 20/523] learning_rate: 0.253624 loss_vfl: 1.275105 loss_bbox: 0.629233 loss_dfl: 0.476298 loss: 2.368554 eta: 1 day, 7:15:43 batch_cost: 0.7647 data_cost: 0.0042 ips: 73.2277 images/s [03/17 20:25:02] ppdet.engine INFO: Epoch: [60] [ 40/523] learning_rate: 0.253592 loss_vfl: 1.225970 loss_bbox: 0.621534 loss_dfl: 0.474961 loss: 2.333744 eta: 1 day, 7:15:21 batch_cost: 0.8468 data_cost: 0.0112 ips: 66.1275 images/s [03/17 20:25:19] ppdet.engine INFO: Epoch: [60] [ 60/523] learning_rate: 0.253559 loss_vfl: 1.247778 loss_bbox: 0.617823 loss_dfl: 0.461689 loss: 2.331788 eta: 1 day, 7:14:49 batch_cost: 0.7184 data_cost: 0.0019 ips: 77.9473 images/s [03/17 20:25:38] ppdet.engine INFO: Epoch: [60] [ 80/523] learning_rate: 0.253526 loss_vfl: 1.294780 loss_bbox: 0.615063 loss_dfl: 0.464313 loss: 2.354428 eta: 1 day, 7:14:15 batch_cost: 0.6950 data_cost: 0.0056 ips: 80.5711 images/s [03/17 20:25:58] ppdet.engine INFO: Epoch: [60] [100/523] learning_rate: 0.253493 loss_vfl: 1.241792 loss_bbox: 0.595787 loss_dfl: 0.458378 loss: 2.353414 eta: 1 day, 7:13:54 batch_cost: 0.8619 data_cost: 0.0043 ips: 64.9694 images/s [03/17 20:26:19] ppdet.engine INFO: Epoch: [60] [120/523] learning_rate: 0.253460 loss_vfl: 1.269681 loss_bbox: 0.595292 loss_dfl: 0.451526 loss: 2.294157 eta: 1 day, 7:13:36 batch_cost: 0.9011 data_cost: 0.0143 ips: 62.1484 images/s [03/17 20:26:39] ppdet.engine INFO: Epoch: [60] [140/523] learning_rate: 0.253427 loss_vfl: 1.303594 loss_bbox: 0.622163 loss_dfl: 0.476985 loss: 2.416547 eta: 1 day, 7:13:12 batch_cost: 0.8146 data_cost: 0.0056 ips: 68.7464 images/s [03/17 20:26:58] ppdet.engine INFO: Epoch: [60] [160/523] learning_rate: 0.253394 loss_vfl: 1.380148 loss_bbox: 0.669056 loss_dfl: 0.503389 loss: 2.576046 eta: 1 day, 7:12:42 batch_cost: 0.7476 data_cost: 0.0030 ips: 74.9091 images/s [03/17 20:27:20] ppdet.engine INFO: Epoch: [60] [180/523] learning_rate: 0.253361 loss_vfl: 1.270424 loss_bbox: 0.620483 loss_dfl: 0.462539 loss: 2.354335 eta: 1 day, 7:12:29 batch_cost: 0.9509 data_cost: 0.0947 ips: 58.8920 images/s [03/17 20:27:42] ppdet.engine INFO: Epoch: [60] [200/523] learning_rate: 0.253328 loss_vfl: 1.299899 loss_bbox: 0.630945 loss_dfl: 0.475686 loss: 2.399563 eta: 1 day, 7:12:13 batch_cost: 0.9267 data_cost: 0.0040 ips: 60.4303 images/s [03/17 20:28:03] ppdet.engine INFO: Epoch: [60] [220/523] learning_rate: 0.253295 loss_vfl: 1.286236 loss_bbox: 0.624835 loss_dfl: 0.472069 loss: 2.400216 eta: 1 day, 7:11:57 batch_cost: 0.9222 data_cost: 0.0033 ips: 60.7227 images/s [03/17 20:28:23] ppdet.engine INFO: Epoch: [60] [240/523] learning_rate: 0.253262 loss_vfl: 1.365024 loss_bbox: 0.649911 loss_dfl: 0.492120 loss: 2.506289 eta: 1 day, 7:11:36 batch_cost: 0.8564 data_cost: 0.0095 ips: 65.3881 images/s [03/17 20:28:44] ppdet.engine INFO: Epoch: [60] [260/523] learning_rate: 0.253229 loss_vfl: 1.358932 loss_bbox: 0.674248 loss_dfl: 0.503696 loss: 2.557130 eta: 1 day, 7:11:20 batch_cost: 0.9132 data_cost: 0.0031 ips: 61.3244 images/s [03/17 20:29:04] ppdet.engine INFO: Epoch: [60] [280/523] learning_rate: 0.253196 loss_vfl: 1.299510 loss_bbox: 0.668039 loss_dfl: 0.484836 loss: 2.451381 eta: 1 day, 7:10:57 batch_cost: 0.8437 data_cost: 0.0863 ips: 66.3759 images/s [03/17 20:29:26] ppdet.engine INFO: Epoch: [60] [300/523] learning_rate: 0.253163 loss_vfl: 1.318893 loss_bbox: 0.601281 loss_dfl: 0.472479 loss: 2.408270 eta: 1 day, 7:10:45 batch_cost: 0.9675 data_cost: 0.0788 ips: 57.8787 images/s [03/17 20:29:46] ppdet.engine INFO: Epoch: [60] [320/523] learning_rate: 0.253130 loss_vfl: 1.277880 loss_bbox: 0.583364 loss_dfl: 0.451654 loss: 2.315225 eta: 1 day, 7:10:19 batch_cost: 0.7898 data_cost: 0.0051 ips: 70.9043 images/s [03/17 20:30:04] ppdet.engine INFO: Epoch: [60] [340/523] learning_rate: 0.253097 loss_vfl: 1.280099 loss_bbox: 0.653618 loss_dfl: 0.488738 loss: 2.421334 eta: 1 day, 7:09:53 batch_cost: 0.7994 data_cost: 0.0082 ips: 70.0508 images/s [03/17 20:30:21] ppdet.engine INFO: Epoch: [60] [360/523] learning_rate: 0.253064 loss_vfl: 1.313415 loss_bbox: 0.641595 loss_dfl: 0.485365 loss: 2.447177 eta: 1 day, 7:09:23 batch_cost: 0.7337 data_cost: 0.0062 ips: 76.3270 images/s [03/17 20:30:41] ppdet.engine INFO: Epoch: [60] [380/523] learning_rate: 0.253031 loss_vfl: 1.278687 loss_bbox: 0.609770 loss_dfl: 0.453885 loss: 2.395678 eta: 1 day, 7:09:00 batch_cost: 0.8433 data_cost: 0.0020 ips: 66.4038 images/s [03/17 20:31:01] ppdet.engine INFO: Epoch: [60] [400/523] learning_rate: 0.252998 loss_vfl: 1.254966 loss_bbox: 0.600822 loss_dfl: 0.454406 loss: 2.298818 eta: 1 day, 7:08:42 batch_cost: 0.8951 data_cost: 0.0088 ips: 62.5640 images/s [03/17 20:31:23] ppdet.engine INFO: Epoch: [60] [420/523] learning_rate: 0.252964 loss_vfl: 1.297212 loss_bbox: 0.593847 loss_dfl: 0.453413 loss: 2.355039 eta: 1 day, 7:08:21 batch_cost: 0.8547 data_cost: 0.0070 ips: 65.5210 images/s [03/17 20:31:42] ppdet.engine INFO: Epoch: [60] [440/523] learning_rate: 0.252931 loss_vfl: 1.392395 loss_bbox: 0.651026 loss_dfl: 0.491581 loss: 2.495988 eta: 1 day, 7:08:00 batch_cost: 0.8566 data_cost: 0.0107 ips: 65.3737 images/s [03/17 20:32:02] ppdet.engine INFO: Epoch: [60] [460/523] learning_rate: 0.252898 loss_vfl: 1.331519 loss_bbox: 0.624204 loss_dfl: 0.492890 loss: 2.480953 eta: 1 day, 7:07:38 batch_cost: 0.8395 data_cost: 0.0062 ips: 66.7057 images/s [03/17 20:32:21] ppdet.engine INFO: Epoch: [60] [480/523] learning_rate: 0.252865 loss_vfl: 1.261898 loss_bbox: 0.597165 loss_dfl: 0.451741 loss: 2.313452 eta: 1 day, 7:07:14 batch_cost: 0.8224 data_cost: 0.0048 ips: 68.0930 images/s [03/17 20:32:43] ppdet.engine INFO: Epoch: [60] 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0.604196 loss_dfl: 0.462200 loss: 2.384022 eta: 1 day, 7:06:24 batch_cost: 0.9909 data_cost: 0.1363 ips: 56.5140 images/s [03/17 20:34:15] ppdet.engine INFO: Epoch: [61] [ 60/523] learning_rate: 0.252693 loss_vfl: 1.348245 loss_bbox: 0.636061 loss_dfl: 0.474204 loss: 2.463222 eta: 1 day, 7:06:07 batch_cost: 0.8989 data_cost: 0.1022 ips: 62.2981 images/s [03/17 20:34:35] ppdet.engine INFO: Epoch: [61] [ 80/523] learning_rate: 0.252660 loss_vfl: 1.266239 loss_bbox: 0.616823 loss_dfl: 0.479763 loss: 2.324490 eta: 1 day, 7:05:45 batch_cost: 0.8500 data_cost: 0.0115 ips: 65.8809 images/s [03/17 20:34:57] ppdet.engine INFO: Epoch: [61] [100/523] learning_rate: 0.252627 loss_vfl: 1.285010 loss_bbox: 0.628329 loss_dfl: 0.469336 loss: 2.399943 eta: 1 day, 7:05:26 batch_cost: 0.8817 data_cost: 0.0092 ips: 63.5152 images/s [03/17 20:35:15] ppdet.engine INFO: Epoch: [61] [120/523] learning_rate: 0.252593 loss_vfl: 1.310014 loss_bbox: 0.629031 loss_dfl: 0.470260 loss: 2.389555 eta: 1 day, 7:04:56 batch_cost: 0.7352 data_cost: 0.0062 ips: 76.1736 images/s [03/17 20:35:32] ppdet.engine INFO: Epoch: [61] [140/523] learning_rate: 0.252560 loss_vfl: 1.258860 loss_bbox: 0.639407 loss_dfl: 0.474406 loss: 2.392150 eta: 1 day, 7:04:27 batch_cost: 0.7570 data_cost: 0.0090 ips: 73.9764 images/s [03/17 20:35:51] ppdet.engine INFO: Epoch: [61] [160/523] learning_rate: 0.252527 loss_vfl: 1.326522 loss_bbox: 0.629153 loss_dfl: 0.489670 loss: 2.455738 eta: 1 day, 7:04:03 batch_cost: 0.8152 data_cost: 0.0044 ips: 68.6934 images/s [03/17 20:36:12] ppdet.engine INFO: Epoch: [61] [180/523] learning_rate: 0.252493 loss_vfl: 1.281782 loss_bbox: 0.633490 loss_dfl: 0.477166 loss: 2.388064 eta: 1 day, 7:03:43 batch_cost: 0.8695 data_cost: 0.0067 ips: 64.4057 images/s [03/17 20:36:33] ppdet.engine INFO: Epoch: [61] [200/523] learning_rate: 0.252460 loss_vfl: 1.311129 loss_bbox: 0.646812 loss_dfl: 0.475746 loss: 2.438873 eta: 1 day, 7:03:28 batch_cost: 0.9312 data_cost: 0.0040 ips: 60.1397 images/s [03/17 20:36:52] ppdet.engine INFO: Epoch: [61] [220/523] learning_rate: 0.252426 loss_vfl: 1.305097 loss_bbox: 0.634904 loss_dfl: 0.475463 loss: 2.422843 eta: 1 day, 7:02:58 batch_cost: 0.7452 data_cost: 0.0054 ips: 75.1447 images/s [03/17 20:37:14] ppdet.engine INFO: Epoch: [61] [240/523] learning_rate: 0.252393 loss_vfl: 1.332835 loss_bbox: 0.619359 loss_dfl: 0.476831 loss: 2.437496 eta: 1 day, 7:02:39 batch_cost: 0.8814 data_cost: 0.0094 ips: 63.5341 images/s [03/17 20:37:34] ppdet.engine INFO: Epoch: [61] [260/523] learning_rate: 0.252359 loss_vfl: 1.292948 loss_bbox: 0.621041 loss_dfl: 0.457873 loss: 2.363734 eta: 1 day, 7:02:17 batch_cost: 0.8451 data_cost: 0.0041 ips: 66.2628 images/s [03/17 20:37:56] ppdet.engine INFO: Epoch: [61] [280/523] learning_rate: 0.252326 loss_vfl: 1.280675 loss_bbox: 0.588691 loss_dfl: 0.469933 loss: 2.351706 eta: 1 day, 7:02:02 batch_cost: 0.9371 data_cost: 0.1309 ips: 59.7581 images/s [03/17 20:38:17] ppdet.engine INFO: Epoch: [61] [300/523] learning_rate: 0.252292 loss_vfl: 1.320841 loss_bbox: 0.667300 loss_dfl: 0.496288 loss: 2.487006 eta: 1 day, 7:01:45 batch_cost: 0.9084 data_cost: 0.0144 ips: 61.6447 images/s [03/17 20:38:37] ppdet.engine INFO: Epoch: [61] [320/523] learning_rate: 0.252259 loss_vfl: 1.263160 loss_bbox: 0.594851 loss_dfl: 0.463535 loss: 2.326811 eta: 1 day, 7:01:22 batch_cost: 0.8236 data_cost: 0.0040 ips: 67.9924 images/s [03/17 20:38:58] ppdet.engine INFO: Epoch: [61] [340/523] learning_rate: 0.252225 loss_vfl: 1.348035 loss_bbox: 0.665954 loss_dfl: 0.498387 loss: 2.532237 eta: 1 day, 7:01:03 batch_cost: 0.8827 data_cost: 0.0518 ips: 63.4422 images/s [03/17 20:39:19] ppdet.engine INFO: Epoch: [61] [360/523] learning_rate: 0.252191 loss_vfl: 1.301607 loss_bbox: 0.640047 loss_dfl: 0.475056 loss: 2.392449 eta: 1 day, 7:00:45 batch_cost: 0.8905 data_cost: 0.0114 ips: 62.8826 images/s [03/17 20:39:39] ppdet.engine INFO: Epoch: [61] [380/523] learning_rate: 0.252158 loss_vfl: 1.329088 loss_bbox: 0.626157 loss_dfl: 0.482534 loss: 2.429496 eta: 1 day, 7:00:24 batch_cost: 0.8573 data_cost: 0.0067 ips: 65.3176 images/s [03/17 20:39:58] ppdet.engine INFO: Epoch: [61] [400/523] learning_rate: 0.252124 loss_vfl: 1.302124 loss_bbox: 0.627656 loss_dfl: 0.467880 loss: 2.422645 eta: 1 day, 6:59:59 batch_cost: 0.8137 data_cost: 0.0027 ips: 68.8213 images/s [03/17 20:40:16] ppdet.engine INFO: Epoch: [61] [420/523] learning_rate: 0.252091 loss_vfl: 1.271312 loss_bbox: 0.629569 loss_dfl: 0.481310 loss: 2.384993 eta: 1 day, 6:59:33 batch_cost: 0.7892 data_cost: 0.0033 ips: 70.9589 images/s [03/17 20:40:33] ppdet.engine INFO: Epoch: [61] [440/523] learning_rate: 0.252057 loss_vfl: 1.321879 loss_bbox: 0.607141 loss_dfl: 0.469087 loss: 2.378441 eta: 1 day, 6:58:57 batch_cost: 0.6579 data_cost: 0.0064 ips: 85.1178 images/s [03/17 20:40:53] ppdet.engine INFO: Epoch: [61] [460/523] learning_rate: 0.252023 loss_vfl: 1.294097 loss_bbox: 0.624389 loss_dfl: 0.474094 loss: 2.391329 eta: 1 day, 6:58:35 batch_cost: 0.8347 data_cost: 0.0042 ips: 67.0866 images/s [03/17 20:41:14] ppdet.engine INFO: Epoch: [61] [480/523] learning_rate: 0.251990 loss_vfl: 1.342795 loss_bbox: 0.640799 loss_dfl: 0.488348 loss: 2.461650 eta: 1 day, 6:58:19 batch_cost: 0.9219 data_cost: 0.0057 ips: 60.7473 images/s [03/17 20:41:35] ppdet.engine INFO: Epoch: [61] [500/523] learning_rate: 0.251956 loss_vfl: 1.317675 loss_bbox: 0.646949 loss_dfl: 0.484814 loss: 2.459588 eta: 1 day, 6:57:59 batch_cost: 0.8754 data_cost: 0.0030 ips: 63.9691 images/s [03/17 20:41:52] ppdet.engine INFO: Epoch: [61] [520/523] learning_rate: 0.251922 loss_vfl: 1.288507 loss_bbox: 0.606073 loss_dfl: 0.466526 loss: 2.388144 eta: 1 day, 6:57:28 batch_cost: 0.7254 data_cost: 0.0024 ips: 77.1965 images/s [03/17 20:42:04] ppdet.engine INFO: Epoch: [62] [ 0/523] learning_rate: 0.251917 loss_vfl: 1.268149 loss_bbox: 0.579352 loss_dfl: 0.452601 loss: 2.311445 eta: 1 day, 6:57:57 batch_cost: 1.1368 data_cost: 0.4008 ips: 49.2591 images/s [03/17 20:42:26] ppdet.engine INFO: Epoch: [62] [ 20/523] learning_rate: 0.251883 loss_vfl: 1.343982 loss_bbox: 0.646340 loss_dfl: 0.482728 loss: 2.456610 eta: 1 day, 6:57:41 batch_cost: 0.9264 data_cost: 0.0040 ips: 60.4489 images/s [03/17 20:42:46] ppdet.engine INFO: Epoch: [62] [ 40/523] learning_rate: 0.251850 loss_vfl: 1.286200 loss_bbox: 0.613821 loss_dfl: 0.465325 loss: 2.341208 eta: 1 day, 6:57:22 batch_cost: 0.8770 data_cost: 0.0061 ips: 63.8509 images/s [03/17 20:43:06] ppdet.engine INFO: Epoch: [62] [ 60/523] learning_rate: 0.251816 loss_vfl: 1.225358 loss_bbox: 0.591044 loss_dfl: 0.445673 loss: 2.248523 eta: 1 day, 6:57:00 batch_cost: 0.8368 data_cost: 0.0052 ips: 66.9239 images/s [03/17 20:43:30] ppdet.engine INFO: Epoch: [62] [ 80/523] learning_rate: 0.251782 loss_vfl: 1.366798 loss_bbox: 0.639956 loss_dfl: 0.473879 loss: 2.493158 eta: 1 day, 6:56:54 batch_cost: 1.0527 data_cost: 0.0012 ips: 53.1964 images/s [03/17 20:43:50] ppdet.engine INFO: Epoch: [62] [100/523] learning_rate: 0.251748 loss_vfl: 1.337519 loss_bbox: 0.642505 loss_dfl: 0.491793 loss: 2.460701 eta: 1 day, 6:56:37 batch_cost: 0.9151 data_cost: 0.0041 ips: 61.1961 images/s [03/17 20:44:12] ppdet.engine INFO: Epoch: [62] [120/523] learning_rate: 0.251714 loss_vfl: 1.263965 loss_bbox: 0.610148 loss_dfl: 0.459139 loss: 2.328720 eta: 1 day, 6:56:25 batch_cost: 0.9657 data_cost: 0.0022 ips: 57.9864 images/s [03/17 20:44:32] ppdet.engine INFO: Epoch: [62] [140/523] learning_rate: 0.251680 loss_vfl: 1.261325 loss_bbox: 0.573969 loss_dfl: 0.440085 loss: 2.297373 eta: 1 day, 6:56:10 batch_cost: 0.9413 data_cost: 0.0028 ips: 59.4911 images/s [03/17 20:44:53] ppdet.engine INFO: Epoch: [62] [160/523] learning_rate: 0.251647 loss_vfl: 1.282481 loss_bbox: 0.605254 loss_dfl: 0.462307 loss: 2.365892 eta: 1 day, 6:55:51 batch_cost: 0.8752 data_cost: 0.0026 ips: 63.9844 images/s [03/17 20:45:10] ppdet.engine INFO: Epoch: [62] [180/523] learning_rate: 0.251613 loss_vfl: 1.287748 loss_bbox: 0.598527 loss_dfl: 0.473089 loss: 2.355499 eta: 1 day, 6:55:23 batch_cost: 0.7645 data_cost: 0.0103 ips: 73.2496 images/s [03/17 20:45:28] ppdet.engine INFO: Epoch: [62] [200/523] learning_rate: 0.251579 loss_vfl: 1.323502 loss_bbox: 0.644833 loss_dfl: 0.481821 loss: 2.459242 eta: 1 day, 6:54:59 batch_cost: 0.8135 data_cost: 0.0020 ips: 68.8398 images/s [03/17 20:45:47] ppdet.engine INFO: Epoch: [62] [220/523] learning_rate: 0.251545 loss_vfl: 1.280242 loss_bbox: 0.625032 loss_dfl: 0.481941 loss: 2.394657 eta: 1 day, 6:54:35 batch_cost: 0.8179 data_cost: 0.0064 ips: 68.4718 images/s [03/17 20:46:10] ppdet.engine INFO: Epoch: [62] [240/523] learning_rate: 0.251511 loss_vfl: 1.315008 loss_bbox: 0.628369 loss_dfl: 0.478493 loss: 2.450843 eta: 1 day, 6:54:25 batch_cost: 1.0039 data_cost: 0.0106 ips: 55.7811 images/s [03/17 20:46:29] ppdet.engine INFO: Epoch: [62] [260/523] learning_rate: 0.251477 loss_vfl: 1.266531 loss_bbox: 0.591832 loss_dfl: 0.452757 loss: 2.273551 eta: 1 day, 6:54:04 batch_cost: 0.8465 data_cost: 0.0021 ips: 66.1562 images/s [03/17 20:46:50] ppdet.engine INFO: Epoch: [62] [280/523] learning_rate: 0.251443 loss_vfl: 1.331976 loss_bbox: 0.617720 loss_dfl: 0.476389 loss: 2.410855 eta: 1 day, 6:53:47 batch_cost: 0.9126 data_cost: 0.0003 ips: 61.3625 images/s [03/17 20:47:13] ppdet.engine INFO: Epoch: [62] [300/523] learning_rate: 0.251409 loss_vfl: 1.340000 loss_bbox: 0.652282 loss_dfl: 0.488329 loss: 2.480167 eta: 1 day, 6:53:38 batch_cost: 1.0140 data_cost: 0.0032 ips: 55.2285 images/s [03/17 20:47:32] ppdet.engine INFO: Epoch: [62] [320/523] learning_rate: 0.251375 loss_vfl: 1.326830 loss_bbox: 0.653618 loss_dfl: 0.496266 loss: 2.459320 eta: 1 day, 6:53:12 batch_cost: 0.7867 data_cost: 0.0003 ips: 71.1824 images/s [03/17 20:47:54] ppdet.engine INFO: Epoch: [62] [340/523] learning_rate: 0.251341 loss_vfl: 1.281105 loss_bbox: 0.631700 loss_dfl: 0.477938 loss: 2.392105 eta: 1 day, 6:52:58 batch_cost: 0.9459 data_cost: 0.0102 ips: 59.2013 images/s [03/17 20:48:14] ppdet.engine INFO: Epoch: [62] [360/523] learning_rate: 0.251307 loss_vfl: 1.260611 loss_bbox: 0.589463 loss_dfl: 0.445436 loss: 2.314389 eta: 1 day, 6:52:36 batch_cost: 0.8497 data_cost: 0.0024 ips: 65.9081 images/s [03/17 20:48:36] ppdet.engine INFO: Epoch: [62] [380/523] learning_rate: 0.251273 loss_vfl: 1.300811 loss_bbox: 0.618376 loss_dfl: 0.473761 loss: 2.392948 eta: 1 day, 6:52:25 batch_cost: 0.9771 data_cost: 0.0017 ips: 57.3099 images/s [03/17 20:48:56] ppdet.engine INFO: Epoch: [62] [400/523] learning_rate: 0.251239 loss_vfl: 1.296909 loss_bbox: 0.625443 loss_dfl: 0.472397 loss: 2.403225 eta: 1 day, 6:52:04 batch_cost: 0.8642 data_cost: 0.0089 ips: 64.8035 images/s [03/17 20:49:17] ppdet.engine INFO: Epoch: [62] [420/523] learning_rate: 0.251204 loss_vfl: 1.305654 loss_bbox: 0.610712 loss_dfl: 0.468600 loss: 2.408055 eta: 1 day, 6:51:45 batch_cost: 0.8783 data_cost: 0.0077 ips: 63.7613 images/s [03/17 20:49:38] ppdet.engine INFO: Epoch: [62] [440/523] learning_rate: 0.251170 loss_vfl: 1.304272 loss_bbox: 0.625323 loss_dfl: 0.479904 loss: 2.393413 eta: 1 day, 6:51:24 batch_cost: 0.8603 data_cost: 0.0043 ips: 65.0957 images/s [03/17 20:49:57] ppdet.engine INFO: Epoch: [62] [460/523] learning_rate: 0.251136 loss_vfl: 1.335557 loss_bbox: 0.639223 loss_dfl: 0.476224 loss: 2.456789 eta: 1 day, 6:51:03 batch_cost: 0.8442 data_cost: 0.0073 ips: 66.3317 images/s [03/17 20:50:14] ppdet.engine INFO: Epoch: [62] [480/523] learning_rate: 0.251102 loss_vfl: 1.327415 loss_bbox: 0.634089 loss_dfl: 0.502322 loss: 2.550093 eta: 1 day, 6:50:32 batch_cost: 0.7197 data_cost: 0.0040 ips: 77.8057 images/s [03/17 20:50:34] ppdet.engine INFO: Epoch: [62] [500/523] learning_rate: 0.251068 loss_vfl: 1.234444 loss_bbox: 0.598829 loss_dfl: 0.449608 loss: 2.280945 eta: 1 day, 6:50:15 batch_cost: 0.9075 data_cost: 0.0037 ips: 61.7048 images/s [03/17 20:50:50] ppdet.engine INFO: Epoch: [62] [520/523] learning_rate: 0.251034 loss_vfl: 1.254074 loss_bbox: 0.582377 loss_dfl: 0.445148 loss: 2.302006 eta: 1 day, 6:49:42 batch_cost: 0.7032 data_cost: 0.0027 ips: 79.6392 images/s [03/17 20:51:02] ppdet.engine INFO: Epoch: [63] [ 0/523] learning_rate: 0.251028 loss_vfl: 1.224821 loss_bbox: 0.574149 loss_dfl: 0.439664 loss: 2.250592 eta: 1 day, 6:50:11 batch_cost: 1.1378 data_cost: 0.3502 ips: 49.2167 images/s [03/17 20:51:24] ppdet.engine INFO: Epoch: [63] [ 20/523] learning_rate: 0.250994 loss_vfl: 1.399470 loss_bbox: 0.674084 loss_dfl: 0.507096 loss: 2.610216 eta: 1 day, 6:49:56 batch_cost: 0.9366 data_cost: 0.0063 ips: 59.7928 images/s [03/17 20:51:44] ppdet.engine INFO: Epoch: [63] [ 40/523] learning_rate: 0.250960 loss_vfl: 1.315450 loss_bbox: 0.630437 loss_dfl: 0.494084 loss: 2.418793 eta: 1 day, 6:49:38 batch_cost: 0.8919 data_cost: 0.0075 ips: 62.7854 images/s [03/17 20:52:03] ppdet.engine INFO: Epoch: [63] [ 60/523] learning_rate: 0.250926 loss_vfl: 1.295173 loss_bbox: 0.599170 loss_dfl: 0.454636 loss: 2.320819 eta: 1 day, 6:49:14 batch_cost: 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ppdet.engine INFO: Epoch: [63] [160/523] learning_rate: 0.250754 loss_vfl: 1.363254 loss_bbox: 0.642729 loss_dfl: 0.476759 loss: 2.466559 eta: 1 day, 6:48:05 batch_cost: 1.0218 data_cost: 0.0024 ips: 54.8038 images/s [03/17 20:54:14] ppdet.engine INFO: Epoch: [63] [180/523] learning_rate: 0.250720 loss_vfl: 1.250521 loss_bbox: 0.590008 loss_dfl: 0.451023 loss: 2.297576 eta: 1 day, 6:47:52 batch_cost: 0.9578 data_cost: 0.0026 ips: 58.4667 images/s [03/17 20:54:32] ppdet.engine INFO: Epoch: [63] [200/523] learning_rate: 0.250685 loss_vfl: 1.345370 loss_bbox: 0.647723 loss_dfl: 0.495129 loss: 2.433628 eta: 1 day, 6:47:29 batch_cost: 0.8355 data_cost: 0.0074 ips: 67.0237 images/s [03/17 20:54:51] ppdet.engine INFO: Epoch: [63] [220/523] learning_rate: 0.250651 loss_vfl: 1.330107 loss_bbox: 0.672595 loss_dfl: 0.508967 loss: 2.548091 eta: 1 day, 6:47:03 batch_cost: 0.7840 data_cost: 0.0073 ips: 71.4315 images/s [03/17 20:55:10] ppdet.engine INFO: Epoch: [63] [240/523] learning_rate: 0.250617 loss_vfl: 1.371882 loss_bbox: 0.648321 loss_dfl: 0.500545 loss: 2.537418 eta: 1 day, 6:46:42 batch_cost: 0.8586 data_cost: 0.0039 ips: 65.2210 images/s [03/17 20:55:27] ppdet.engine INFO: Epoch: [63] [260/523] learning_rate: 0.250582 loss_vfl: 1.323144 loss_bbox: 0.614911 loss_dfl: 0.473893 loss: 2.398538 eta: 1 day, 6:46:14 batch_cost: 0.7574 data_cost: 0.0029 ips: 73.9328 images/s [03/17 20:55:50] ppdet.engine INFO: Epoch: [63] [280/523] learning_rate: 0.250548 loss_vfl: 1.278838 loss_bbox: 0.604256 loss_dfl: 0.471815 loss: 2.354379 eta: 1 day, 6:46:05 batch_cost: 1.0094 data_cost: 0.0040 ips: 55.4804 images/s [03/17 20:56:09] ppdet.engine INFO: Epoch: [63] [300/523] learning_rate: 0.250513 loss_vfl: 1.260390 loss_bbox: 0.598533 loss_dfl: 0.460817 loss: 2.338225 eta: 1 day, 6:45:42 batch_cost: 0.8343 data_cost: 0.0039 ips: 67.1204 images/s [03/17 20:56:29] ppdet.engine INFO: Epoch: [63] [320/523] learning_rate: 0.250479 loss_vfl: 1.380929 loss_bbox: 0.663031 loss_dfl: 0.497150 loss: 2.593786 eta: 1 day, 6:45:20 batch_cost: 0.8403 data_cost: 0.0045 ips: 66.6430 images/s [03/17 20:56:50] ppdet.engine INFO: Epoch: [63] [340/523] learning_rate: 0.250444 loss_vfl: 1.188224 loss_bbox: 0.561273 loss_dfl: 0.436845 loss: 2.183547 eta: 1 day, 6:45:02 batch_cost: 0.8944 data_cost: 0.0082 ips: 62.6148 images/s [03/17 20:57:12] ppdet.engine INFO: Epoch: [63] [360/523] learning_rate: 0.250410 loss_vfl: 1.321658 loss_bbox: 0.615535 loss_dfl: 0.475159 loss: 2.415226 eta: 1 day, 6:44:49 batch_cost: 0.9567 data_cost: 0.0027 ips: 58.5375 images/s [03/17 20:57:34] ppdet.engine INFO: Epoch: [63] [380/523] learning_rate: 0.250375 loss_vfl: 1.303175 loss_bbox: 0.601445 loss_dfl: 0.470832 loss: 2.401754 eta: 1 day, 6:44:36 batch_cost: 0.9685 data_cost: 0.0047 ips: 57.8217 images/s [03/17 20:57:53] ppdet.engine INFO: Epoch: [63] [400/523] learning_rate: 0.250341 loss_vfl: 1.272434 loss_bbox: 0.612686 loss_dfl: 0.463739 loss: 2.327549 eta: 1 day, 6:44:15 batch_cost: 0.8508 data_cost: 0.0038 ips: 65.8175 images/s [03/17 20:58:14] ppdet.engine INFO: Epoch: [63] [420/523] learning_rate: 0.250306 loss_vfl: 1.313821 loss_bbox: 0.632430 loss_dfl: 0.473419 loss: 2.429615 eta: 1 day, 6:43:59 batch_cost: 0.9204 data_cost: 0.0033 ips: 60.8434 images/s [03/17 20:58:35] ppdet.engine INFO: Epoch: [63] [440/523] learning_rate: 0.250271 loss_vfl: 1.294895 loss_bbox: 0.579786 loss_dfl: 0.451204 loss: 2.353456 eta: 1 day, 6:43:39 batch_cost: 0.8695 data_cost: 0.0036 ips: 64.4065 images/s [03/17 20:58:57] ppdet.engine INFO: Epoch: [63] [460/523] learning_rate: 0.250237 loss_vfl: 1.358391 loss_bbox: 0.628280 loss_dfl: 0.481350 loss: 2.464268 eta: 1 day, 6:43:30 batch_cost: 1.0189 data_cost: 0.0055 ips: 54.9628 images/s [03/17 20:59:17] ppdet.engine INFO: Epoch: [63] [480/523] learning_rate: 0.250202 loss_vfl: 1.280299 loss_bbox: 0.630290 loss_dfl: 0.474044 loss: 2.408929 eta: 1 day, 6:43:08 batch_cost: 0.8410 data_cost: 0.0044 ips: 66.5874 images/s [03/17 20:59:38] ppdet.engine INFO: Epoch: [63] [500/523] learning_rate: 0.250167 loss_vfl: 1.321083 loss_bbox: 0.610587 loss_dfl: 0.475426 loss: 2.399365 eta: 1 day, 6:42:51 batch_cost: 0.9023 data_cost: 0.0034 ips: 62.0639 images/s [03/17 20:59:53] ppdet.engine INFO: Epoch: [63] [520/523] learning_rate: 0.250133 loss_vfl: 1.262479 loss_bbox: 0.608481 loss_dfl: 0.463884 loss: 2.356181 eta: 1 day, 6:42:12 batch_cost: 0.6034 data_cost: 0.0013 ips: 92.8006 images/s [03/17 21:00:04] ppdet.engine INFO: Epoch: [64] [ 0/523] learning_rate: 0.250128 loss_vfl: 1.247381 loss_bbox: 0.582493 loss_dfl: 0.452055 loss: 2.261302 eta: 1 day, 6:42:36 batch_cost: 0.9978 data_cost: 0.2233 ips: 56.1218 images/s [03/17 21:00:23] ppdet.engine INFO: Epoch: [64] [ 20/523] learning_rate: 0.250093 loss_vfl: 1.245519 loss_bbox: 0.578295 loss_dfl: 0.453939 loss: 2.301342 eta: 1 day, 6:42:17 batch_cost: 0.8852 data_cost: 0.0035 ips: 63.2629 images/s [03/17 21:00:44] ppdet.engine INFO: Epoch: [64] [ 40/523] learning_rate: 0.250058 loss_vfl: 1.304909 loss_bbox: 0.629238 loss_dfl: 0.466110 loss: 2.413845 eta: 1 day, 6:41:59 batch_cost: 0.8897 data_cost: 0.0061 ips: 62.9450 images/s [03/17 21:01:05] ppdet.engine INFO: Epoch: [64] [ 60/523] learning_rate: 0.250023 loss_vfl: 1.276568 loss_bbox: 0.622068 loss_dfl: 0.465213 loss: 2.369755 eta: 1 day, 6:41:39 batch_cost: 0.8627 data_cost: 0.0089 ips: 64.9105 images/s [03/17 21:01:27] ppdet.engine INFO: Epoch: [64] [ 80/523] learning_rate: 0.249989 loss_vfl: 1.266318 loss_bbox: 0.619423 loss_dfl: 0.464262 loss: 2.328718 eta: 1 day, 6:41:23 batch_cost: 0.9216 data_cost: 0.0068 ips: 60.7614 images/s [03/17 21:01:47] ppdet.engine INFO: Epoch: [64] [100/523] learning_rate: 0.249954 loss_vfl: 1.220568 loss_bbox: 0.588489 loss_dfl: 0.438079 loss: 2.243814 eta: 1 day, 6:41:02 batch_cost: 0.8564 data_cost: 0.0251 ips: 65.3895 images/s [03/17 21:02:08] ppdet.engine INFO: Epoch: [64] [120/523] learning_rate: 0.249919 loss_vfl: 1.323647 loss_bbox: 0.658800 loss_dfl: 0.500532 loss: 2.466860 eta: 1 day, 6:40:39 batch_cost: 0.8264 data_cost: 0.0702 ips: 67.7677 images/s [03/17 21:02:29] ppdet.engine INFO: Epoch: [64] [140/523] learning_rate: 0.249884 loss_vfl: 1.256716 loss_bbox: 0.634183 loss_dfl: 0.475073 loss: 2.368229 eta: 1 day, 6:40:25 batch_cost: 0.9503 data_cost: 0.0124 ips: 58.9268 images/s [03/17 21:02:50] ppdet.engine INFO: Epoch: [64] [160/523] learning_rate: 0.249850 loss_vfl: 1.279231 loss_bbox: 0.588255 loss_dfl: 0.461254 loss: 2.332805 eta: 1 day, 6:40:04 batch_cost: 0.8498 data_cost: 0.0027 ips: 65.8971 images/s [03/17 21:03:11] ppdet.engine INFO: Epoch: [64] [180/523] learning_rate: 0.249815 loss_vfl: 1.227530 loss_bbox: 0.599279 loss_dfl: 0.456574 loss: 2.290406 eta: 1 day, 6:39:49 batch_cost: 0.9430 data_cost: 0.0064 ips: 59.3835 images/s [03/17 21:03:31] ppdet.engine INFO: Epoch: [64] [200/523] learning_rate: 0.249780 loss_vfl: 1.257391 loss_bbox: 0.618638 loss_dfl: 0.469170 loss: 2.354161 eta: 1 day, 6:39:27 batch_cost: 0.8304 data_cost: 0.0051 ips: 67.4405 images/s [03/17 21:03:51] ppdet.engine INFO: Epoch: [64] [220/523] learning_rate: 0.249745 loss_vfl: 1.339561 loss_bbox: 0.644794 loss_dfl: 0.481286 loss: 2.477206 eta: 1 day, 6:39:07 batch_cost: 0.8752 data_cost: 0.0075 ips: 63.9835 images/s [03/17 21:04:13] ppdet.engine INFO: Epoch: [64] [240/523] learning_rate: 0.249710 loss_vfl: 1.267455 loss_bbox: 0.570373 loss_dfl: 0.449330 loss: 2.279445 eta: 1 day, 6:38:54 batch_cost: 0.9573 data_cost: 0.0028 ips: 58.4994 images/s [03/17 21:04:33] ppdet.engine INFO: Epoch: [64] [260/523] learning_rate: 0.249675 loss_vfl: 1.227800 loss_bbox: 0.589328 loss_dfl: 0.454148 loss: 2.272909 eta: 1 day, 6:38:29 batch_cost: 0.8088 data_cost: 0.0034 ips: 69.2423 images/s [03/17 21:04:52] ppdet.engine INFO: Epoch: [64] [280/523] learning_rate: 0.249640 loss_vfl: 1.288981 loss_bbox: 0.650047 loss_dfl: 0.469566 loss: 2.414803 eta: 1 day, 6:38:07 batch_cost: 0.8264 data_cost: 0.0039 ips: 67.7634 images/s [03/17 21:05:10] ppdet.engine INFO: Epoch: [64] 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0.663301 loss_dfl: 0.493064 loss: 2.480391 eta: 1 day, 6:36:23 batch_cost: 1.0111 data_cost: 0.1642 ips: 55.3864 images/s [03/17 21:06:53] ppdet.engine INFO: Epoch: [64] [400/523] learning_rate: 0.249430 loss_vfl: 1.367614 loss_bbox: 0.662017 loss_dfl: 0.506816 loss: 2.580611 eta: 1 day, 6:36:07 batch_cost: 0.9287 data_cost: 0.0545 ips: 60.2968 images/s [03/17 21:07:13] ppdet.engine INFO: Epoch: [64] [420/523] learning_rate: 0.249395 loss_vfl: 1.307436 loss_bbox: 0.613647 loss_dfl: 0.466983 loss: 2.396815 eta: 1 day, 6:35:49 batch_cost: 0.8932 data_cost: 0.0096 ips: 62.6944 images/s [03/17 21:07:34] ppdet.engine INFO: Epoch: [64] [440/523] learning_rate: 0.249360 loss_vfl: 1.391430 loss_bbox: 0.662388 loss_dfl: 0.513623 loss: 2.613401 eta: 1 day, 6:35:26 batch_cost: 0.8255 data_cost: 0.0227 ips: 67.8377 images/s [03/17 21:07:55] ppdet.engine INFO: Epoch: [64] [460/523] learning_rate: 0.249325 loss_vfl: 1.328752 loss_bbox: 0.635775 loss_dfl: 0.477185 loss: 2.440241 eta: 1 day, 6:35:09 batch_cost: 0.9003 data_cost: 0.0298 ips: 62.2029 images/s [03/17 21:08:15] ppdet.engine INFO: Epoch: [64] [480/523] learning_rate: 0.249290 loss_vfl: 1.225789 loss_bbox: 0.600041 loss_dfl: 0.452131 loss: 2.261627 eta: 1 day, 6:34:50 batch_cost: 0.8810 data_cost: 0.0018 ips: 63.5663 images/s [03/17 21:08:36] ppdet.engine INFO: Epoch: [64] [500/523] learning_rate: 0.249255 loss_vfl: 1.203449 loss_bbox: 0.587516 loss_dfl: 0.441028 loss: 2.229993 eta: 1 day, 6:34:33 batch_cost: 0.9114 data_cost: 0.0154 ips: 61.4440 images/s [03/17 21:08:53] ppdet.engine INFO: Epoch: [64] [520/523] learning_rate: 0.249220 loss_vfl: 1.299948 loss_bbox: 0.638990 loss_dfl: 0.478966 loss: 2.423305 eta: 1 day, 6:34:04 batch_cost: 0.7494 data_cost: 0.0043 ips: 74.7310 images/s [03/17 21:09:04] ppdet.engine INFO: Epoch: [65] [ 0/523] learning_rate: 0.249215 loss_vfl: 1.296753 loss_bbox: 0.636140 loss_dfl: 0.471580 loss: 2.378612 eta: 1 day, 6:34:27 batch_cost: 1.0986 data_cost: 0.3084 ips: 50.9757 images/s [03/17 21:09:26] ppdet.engine INFO: Epoch: [65] [ 20/523] learning_rate: 0.249179 loss_vfl: 1.193105 loss_bbox: 0.575642 loss_dfl: 0.444441 loss: 2.213267 eta: 1 day, 6:34:08 batch_cost: 0.8772 data_cost: 0.0178 ips: 63.8426 images/s [03/17 21:09:45] ppdet.engine INFO: Epoch: [65] [ 40/523] learning_rate: 0.249144 loss_vfl: 1.241511 loss_bbox: 0.590659 loss_dfl: 0.444318 loss: 2.294336 eta: 1 day, 6:33:37 batch_cost: 0.7229 data_cost: 0.0093 ips: 77.4615 images/s [03/17 21:10:03] ppdet.engine INFO: Epoch: [65] [ 60/523] learning_rate: 0.249109 loss_vfl: 1.283272 loss_bbox: 0.608593 loss_dfl: 0.461382 loss: 2.348919 eta: 1 day, 6:33:10 batch_cost: 0.7572 data_cost: 0.0041 ips: 73.9601 images/s [03/17 21:10:21] ppdet.engine INFO: Epoch: [65] [ 80/523] learning_rate: 0.249074 loss_vfl: 1.288664 loss_bbox: 0.628724 loss_dfl: 0.477721 loss: 2.379641 eta: 1 day, 6:32:43 batch_cost: 0.7819 data_cost: 0.0004 ips: 71.6186 images/s [03/17 21:10:43] ppdet.engine INFO: Epoch: [65] [100/523] learning_rate: 0.249039 loss_vfl: 1.284754 loss_bbox: 0.616283 loss_dfl: 0.468890 loss: 2.400991 eta: 1 day, 6:32:23 batch_cost: 0.8605 data_cost: 0.0029 ips: 65.0797 images/s [03/17 21:11:03] ppdet.engine INFO: Epoch: [65] [120/523] learning_rate: 0.249003 loss_vfl: 1.295562 loss_bbox: 0.633091 loss_dfl: 0.476978 loss: 2.386662 eta: 1 day, 6:31:59 batch_cost: 0.8122 data_cost: 0.0036 ips: 68.9523 images/s [03/17 21:11:25] ppdet.engine INFO: Epoch: [65] [140/523] learning_rate: 0.248968 loss_vfl: 1.329172 loss_bbox: 0.631293 loss_dfl: 0.484288 loss: 2.439618 eta: 1 day, 6:31:45 batch_cost: 0.9429 data_cost: 0.0041 ips: 59.3889 images/s [03/17 21:11:44] ppdet.engine INFO: Epoch: [65] [160/523] learning_rate: 0.248933 loss_vfl: 1.209967 loss_bbox: 0.542330 loss_dfl: 0.424135 loss: 2.236446 eta: 1 day, 6:31:26 batch_cost: 0.8882 data_cost: 0.0033 ips: 63.0495 images/s [03/17 21:12:05] ppdet.engine INFO: Epoch: [65] [180/523] learning_rate: 0.248898 loss_vfl: 1.249249 loss_bbox: 0.585718 loss_dfl: 0.443104 loss: 2.282798 eta: 1 day, 6:31:07 batch_cost: 0.8702 data_cost: 0.0013 ips: 64.3565 images/s [03/17 21:12:27] ppdet.engine INFO: Epoch: [65] [200/523] learning_rate: 0.248862 loss_vfl: 1.347385 loss_bbox: 0.648453 loss_dfl: 0.486226 loss: 2.432355 eta: 1 day, 6:30:58 batch_cost: 1.0224 data_cost: 0.0040 ips: 54.7716 images/s [03/17 21:12:46] ppdet.engine INFO: Epoch: [65] [220/523] learning_rate: 0.248827 loss_vfl: 1.292506 loss_bbox: 0.640231 loss_dfl: 0.478720 loss: 2.415558 eta: 1 day, 6:30:35 batch_cost: 0.8297 data_cost: 0.0037 ips: 67.4918 images/s [03/17 21:13:08] ppdet.engine INFO: Epoch: [65] [240/523] learning_rate: 0.248792 loss_vfl: 1.250293 loss_bbox: 0.590907 loss_dfl: 0.457733 loss: 2.298636 eta: 1 day, 6:30:17 batch_cost: 0.8922 data_cost: 0.0073 ips: 62.7634 images/s [03/17 21:13:29] ppdet.engine INFO: Epoch: [65] [260/523] learning_rate: 0.248756 loss_vfl: 1.304972 loss_bbox: 0.624874 loss_dfl: 0.467733 loss: 2.425889 eta: 1 day, 6:30:02 batch_cost: 0.9329 data_cost: 0.0023 ips: 60.0271 images/s [03/17 21:13:50] ppdet.engine INFO: Epoch: [65] [280/523] learning_rate: 0.248721 loss_vfl: 1.312892 loss_bbox: 0.633525 loss_dfl: 0.478878 loss: 2.429636 eta: 1 day, 6:29:44 batch_cost: 0.8912 data_cost: 0.0145 ips: 62.8342 images/s [03/17 21:14:11] ppdet.engine INFO: Epoch: [65] [300/523] learning_rate: 0.248685 loss_vfl: 1.284800 loss_bbox: 0.619548 loss_dfl: 0.472807 loss: 2.379761 eta: 1 day, 6:29:28 batch_cost: 0.9284 data_cost: 0.0025 ips: 60.3201 images/s [03/17 21:14:30] ppdet.engine INFO: Epoch: [65] [320/523] learning_rate: 0.248650 loss_vfl: 1.315444 loss_bbox: 0.645593 loss_dfl: 0.496202 loss: 2.449985 eta: 1 day, 6:29:03 batch_cost: 0.7885 data_cost: 0.0074 ips: 71.0253 images/s [03/17 21:14:47] ppdet.engine INFO: Epoch: [65] [340/523] learning_rate: 0.248615 loss_vfl: 1.269260 loss_bbox: 0.603652 loss_dfl: 0.452239 loss: 2.322599 eta: 1 day, 6:28:34 batch_cost: 0.7495 data_cost: 0.0032 ips: 74.7132 images/s [03/17 21:15:08] ppdet.engine INFO: Epoch: [65] [360/523] learning_rate: 0.248579 loss_vfl: 1.325962 loss_bbox: 0.616564 loss_dfl: 0.471083 loss: 2.423675 eta: 1 day, 6:28:16 batch_cost: 0.8845 data_cost: 0.1156 ips: 63.3099 images/s [03/17 21:15:28] ppdet.engine INFO: Epoch: [65] [380/523] learning_rate: 0.248544 loss_vfl: 1.273289 loss_bbox: 0.621527 loss_dfl: 0.471354 loss: 2.364003 eta: 1 day, 6:27:59 batch_cost: 0.9194 data_cost: 0.1089 ips: 60.9104 images/s [03/17 21:15:48] ppdet.engine INFO: Epoch: [65] [400/523] learning_rate: 0.248508 loss_vfl: 1.338657 loss_bbox: 0.641137 loss_dfl: 0.481310 loss: 2.464532 eta: 1 day, 6:27:37 batch_cost: 0.8277 data_cost: 0.0468 ips: 67.6593 images/s [03/17 21:16:09] ppdet.engine INFO: Epoch: [65] [420/523] learning_rate: 0.248473 loss_vfl: 1.371098 loss_bbox: 0.690021 loss_dfl: 0.517211 loss: 2.600714 eta: 1 day, 6:27:20 batch_cost: 0.9182 data_cost: 0.1362 ips: 60.9866 images/s [03/17 21:16:29] ppdet.engine INFO: Epoch: [65] [440/523] learning_rate: 0.248437 loss_vfl: 1.317144 loss_bbox: 0.644414 loss_dfl: 0.478963 loss: 2.449627 eta: 1 day, 6:26:56 batch_cost: 0.8003 data_cost: 0.1256 ips: 69.9779 images/s [03/17 21:16:49] ppdet.engine INFO: Epoch: [65] [460/523] learning_rate: 0.248402 loss_vfl: 1.336517 loss_bbox: 0.634932 loss_dfl: 0.496161 loss: 2.492488 eta: 1 day, 6:26:29 batch_cost: 0.7770 data_cost: 0.0581 ips: 72.0702 images/s [03/17 21:17:10] ppdet.engine INFO: Epoch: [65] [480/523] learning_rate: 0.248366 loss_vfl: 1.338186 loss_bbox: 0.648404 loss_dfl: 0.496282 loss: 2.468946 eta: 1 day, 6:26:14 batch_cost: 0.9233 data_cost: 0.0250 ips: 60.6491 images/s [03/17 21:17:32] ppdet.engine INFO: Epoch: [65] [500/523] learning_rate: 0.248331 loss_vfl: 1.258476 loss_bbox: 0.586626 loss_dfl: 0.446807 loss: 2.267349 eta: 1 day, 6:25:53 batch_cost: 0.8593 data_cost: 0.0032 ips: 65.1699 images/s [03/17 21:17:49] ppdet.engine INFO: Epoch: [65] [520/523] learning_rate: 0.248295 loss_vfl: 1.305457 loss_bbox: 0.615768 loss_dfl: 0.473308 loss: 2.401670 eta: 1 day, 6:25:24 batch_cost: 0.7374 data_cost: 0.0098 ips: 75.9396 images/s [03/17 21:17:58] ppdet.engine INFO: Epoch: [66] [ 0/523] learning_rate: 0.248290 loss_vfl: 1.256382 loss_bbox: 0.613606 loss_dfl: 0.463998 loss: 2.353053 eta: 1 day, 6:25:39 batch_cost: 0.9741 data_cost: 0.3429 ips: 57.4882 images/s [03/17 21:18:22] ppdet.engine INFO: Epoch: [66] [ 20/523] learning_rate: 0.248254 loss_vfl: 1.284295 loss_bbox: 0.621988 loss_dfl: 0.466389 loss: 2.373146 eta: 1 day, 6:25:33 batch_cost: 1.0652 data_cost: 0.0552 ips: 52.5737 images/s [03/17 21:18:44] ppdet.engine INFO: Epoch: [66] [ 40/523] learning_rate: 0.248218 loss_vfl: 1.261569 loss_bbox: 0.594785 loss_dfl: 0.446593 loss: 2.287545 eta: 1 day, 6:25:20 batch_cost: 0.9618 data_cost: 0.0021 ips: 58.2215 images/s [03/17 21:19:04] ppdet.engine INFO: Epoch: [66] [ 60/523] learning_rate: 0.248183 loss_vfl: 1.298387 loss_bbox: 0.613253 loss_dfl: 0.465824 loss: 2.417382 eta: 1 day, 6:24:58 batch_cost: 0.8467 data_cost: 0.0029 ips: 66.1355 images/s [03/17 21:19:25] ppdet.engine INFO: Epoch: [66] [ 80/523] learning_rate: 0.248147 loss_vfl: 1.345312 loss_bbox: 0.623203 loss_dfl: 0.490125 loss: 2.511174 eta: 1 day, 6:24:38 batch_cost: 0.8639 data_cost: 0.0019 ips: 64.8237 images/s [03/17 21:19:42] ppdet.engine INFO: Epoch: [66] [100/523] learning_rate: 0.248111 loss_vfl: 1.327992 loss_bbox: 0.620569 loss_dfl: 0.472252 loss: 2.381016 eta: 1 day, 6:24:14 batch_cost: 0.8005 data_cost: 0.0013 ips: 69.9556 images/s [03/17 21:20:01] ppdet.engine INFO: Epoch: [66] [120/523] learning_rate: 0.248076 loss_vfl: 1.265699 loss_bbox: 0.628104 loss_dfl: 0.486820 loss: 2.395364 eta: 1 day, 6:23:51 batch_cost: 0.8289 data_cost: 0.0031 ips: 67.5602 images/s [03/17 21:20:22] ppdet.engine INFO: Epoch: [66] [140/523] learning_rate: 0.248040 loss_vfl: 1.274704 loss_bbox: 0.633436 loss_dfl: 0.467901 loss: 2.376568 eta: 1 day, 6:23:37 batch_cost: 0.9486 data_cost: 0.0292 ips: 59.0332 images/s [03/17 21:20:42] ppdet.engine INFO: Epoch: [66] [160/523] learning_rate: 0.248004 loss_vfl: 1.303774 loss_bbox: 0.621664 loss_dfl: 0.465195 loss: 2.394142 eta: 1 day, 6:23:18 batch_cost: 0.8782 data_cost: 0.0058 ips: 63.7690 images/s [03/17 21:21:04] ppdet.engine INFO: Epoch: [66] [180/523] learning_rate: 0.247968 loss_vfl: 1.303528 loss_bbox: 0.637411 loss_dfl: 0.480338 loss: 2.404384 eta: 1 day, 6:23:08 batch_cost: 1.0065 data_cost: 0.0006 ips: 55.6371 images/s [03/17 21:21:25] ppdet.engine INFO: Epoch: [66] [200/523] learning_rate: 0.247933 loss_vfl: 1.304465 loss_bbox: 0.605695 loss_dfl: 0.470745 loss: 2.398690 eta: 1 day, 6:22:51 batch_cost: 0.9153 data_cost: 0.0062 ips: 61.1808 images/s [03/17 21:21:47] ppdet.engine INFO: Epoch: [66] [220/523] learning_rate: 0.247897 loss_vfl: 1.330570 loss_bbox: 0.639683 loss_dfl: 0.482776 loss: 2.429770 eta: 1 day, 6:22:42 batch_cost: 1.0112 data_cost: 0.0022 ips: 55.3795 images/s [03/17 21:22:08] ppdet.engine INFO: Epoch: [66] [240/523] learning_rate: 0.247861 loss_vfl: 1.337431 loss_bbox: 0.626597 loss_dfl: 0.482133 loss: 2.455657 eta: 1 day, 6:22:23 batch_cost: 0.8828 data_cost: 0.0617 ips: 63.4315 images/s [03/17 21:22:28] ppdet.engine INFO: Epoch: [66] [260/523] learning_rate: 0.247825 loss_vfl: 1.345755 loss_bbox: 0.646752 loss_dfl: 0.494158 loss: 2.478658 eta: 1 day, 6:22:04 batch_cost: 0.8764 data_cost: 0.1496 ips: 63.8968 images/s [03/17 21:22:50] ppdet.engine INFO: Epoch: [66] [280/523] learning_rate: 0.247789 loss_vfl: 1.402921 loss_bbox: 0.672892 loss_dfl: 0.506361 loss: 2.585384 eta: 1 day, 6:21:50 batch_cost: 0.9598 data_cost: 0.2291 ips: 58.3474 images/s [03/17 21:23:11] ppdet.engine INFO: Epoch: [66] [300/523] learning_rate: 0.247754 loss_vfl: 1.265958 loss_bbox: 0.643448 loss_dfl: 0.479978 loss: 2.387706 eta: 1 day, 6:21:35 batch_cost: 0.9287 data_cost: 0.0048 ips: 60.2980 images/s [03/17 21:23:32] ppdet.engine INFO: Epoch: [66] [320/523] learning_rate: 0.247718 loss_vfl: 1.284235 loss_bbox: 0.603711 loss_dfl: 0.460131 loss: 2.344286 eta: 1 day, 6:21:17 batch_cost: 0.9002 data_cost: 0.0030 ips: 62.2116 images/s [03/17 21:23:53] ppdet.engine INFO: Epoch: [66] [340/523] learning_rate: 0.247682 loss_vfl: 1.363088 loss_bbox: 0.658189 loss_dfl: 0.501203 loss: 2.535863 eta: 1 day, 6:21:01 batch_cost: 0.9243 data_cost: 0.0039 ips: 60.5896 images/s [03/17 21:24:14] ppdet.engine INFO: Epoch: [66] [360/523] learning_rate: 0.247646 loss_vfl: 1.375661 loss_bbox: 0.674095 loss_dfl: 0.504166 loss: 2.575233 eta: 1 day, 6:20:43 batch_cost: 0.8938 data_cost: 0.0805 ips: 62.6504 images/s [03/17 21:24:32] ppdet.engine INFO: Epoch: [66] [380/523] learning_rate: 0.247610 loss_vfl: 1.266522 loss_bbox: 0.603397 loss_dfl: 0.465777 loss: 2.337662 eta: 1 day, 6:20:16 batch_cost: 0.7545 data_cost: 0.0006 ips: 74.2261 images/s [03/17 21:24:52] ppdet.engine INFO: Epoch: [66] [400/523] learning_rate: 0.247574 loss_vfl: 1.280815 loss_bbox: 0.618586 loss_dfl: 0.472239 loss: 2.375616 eta: 1 day, 6:19:54 batch_cost: 0.8469 data_cost: 0.0050 ips: 66.1235 images/s [03/17 21:25:11] ppdet.engine INFO: Epoch: [66] [420/523] learning_rate: 0.247538 loss_vfl: 1.249211 loss_bbox: 0.609493 loss_dfl: 0.465836 loss: 2.324326 eta: 1 day, 6:19:33 batch_cost: 0.8455 data_cost: 0.0014 ips: 66.2306 images/s [03/17 21:25:31] ppdet.engine INFO: Epoch: [66] [440/523] learning_rate: 0.247502 loss_vfl: 1.237630 loss_bbox: 0.607910 loss_dfl: 0.461450 loss: 2.290703 eta: 1 day, 6:19:10 batch_cost: 0.8207 data_cost: 0.0026 ips: 68.2354 images/s [03/17 21:25:53] ppdet.engine INFO: Epoch: [66] [460/523] learning_rate: 0.247466 loss_vfl: 1.315183 loss_bbox: 0.642211 loss_dfl: 0.474647 loss: 2.423202 eta: 1 day, 6:19:00 batch_cost: 1.0087 data_cost: 0.0023 ips: 55.5177 images/s [03/17 21:26:14] ppdet.engine INFO: Epoch: [66] [480/523] learning_rate: 0.247430 loss_vfl: 1.318259 loss_bbox: 0.639680 loss_dfl: 0.483720 loss: 2.457438 eta: 1 day, 6:18:44 batch_cost: 0.9196 data_cost: 0.0071 ips: 60.8945 images/s [03/17 21:26:35] ppdet.engine INFO: Epoch: [66] [500/523] learning_rate: 0.247394 loss_vfl: 1.337323 loss_bbox: 0.670059 loss_dfl: 0.508949 loss: 2.521680 eta: 1 day, 6:18:25 batch_cost: 0.8893 data_cost: 0.0037 ips: 62.9708 images/s [03/17 21:26:53] ppdet.engine INFO: Epoch: [66] [520/523] learning_rate: 0.247358 loss_vfl: 1.227592 loss_bbox: 0.584814 loss_dfl: 0.441226 loss: 2.250097 eta: 1 day, 6:18:01 batch_cost: 0.8093 data_cost: 0.0045 ips: 69.1921 images/s [03/17 21:27:05] ppdet.engine INFO: Epoch: [67] [ 0/523] learning_rate: 0.247353 loss_vfl: 1.217683 loss_bbox: 0.570406 loss_dfl: 0.435404 loss: 2.230906 eta: 1 day, 6:18:29 batch_cost: 1.2411 data_cost: 0.4878 ips: 45.1201 images/s [03/17 21:27:26] ppdet.engine INFO: Epoch: [67] [ 20/523] learning_rate: 0.247317 loss_vfl: 1.319903 loss_bbox: 0.619955 loss_dfl: 0.474973 loss: 2.387353 eta: 1 day, 6:18:10 batch_cost: 0.8788 data_cost: 0.0609 ips: 63.7198 images/s [03/17 21:27:48] ppdet.engine INFO: Epoch: [67] [ 40/523] learning_rate: 0.247281 loss_vfl: 1.303589 loss_bbox: 0.634637 loss_dfl: 0.483582 loss: 2.412833 eta: 1 day, 6:17:56 batch_cost: 0.9547 data_cost: 0.1262 ips: 58.6555 images/s [03/17 21:28:11] ppdet.engine INFO: Epoch: [67] [ 60/523] learning_rate: 0.247244 loss_vfl: 1.334698 loss_bbox: 0.662111 loss_dfl: 0.503978 loss: 2.490238 eta: 1 day, 6:17:46 batch_cost: 1.0132 data_cost: 0.2491 ips: 55.2696 images/s [03/17 21:28:31] ppdet.engine INFO: Epoch: [67] [ 80/523] learning_rate: 0.247208 loss_vfl: 1.287427 loss_bbox: 0.648187 loss_dfl: 0.486300 loss: 2.410571 eta: 1 day, 6:17:27 batch_cost: 0.8721 data_cost: 0.0692 ips: 64.2102 images/s [03/17 21:28:51] ppdet.engine INFO: Epoch: [67] [100/523] learning_rate: 0.247172 loss_vfl: 1.240827 loss_bbox: 0.585347 loss_dfl: 0.451636 loss: 2.298481 eta: 1 day, 6:17:05 batch_cost: 0.8446 data_cost: 0.0311 ips: 66.3026 images/s [03/17 21:29:12] ppdet.engine INFO: Epoch: [67] [120/523] learning_rate: 0.247136 loss_vfl: 1.280237 loss_bbox: 0.572858 loss_dfl: 0.450990 loss: 2.324115 eta: 1 day, 6:16:48 batch_cost: 0.9081 data_cost: 0.1582 ips: 61.6673 images/s [03/17 21:29:30] ppdet.engine INFO: Epoch: [67] [140/523] learning_rate: 0.247100 loss_vfl: 1.297180 loss_bbox: 0.635556 loss_dfl: 0.489693 loss: 2.461135 eta: 1 day, 6:16:21 batch_cost: 0.7614 data_cost: 0.0037 ips: 73.5440 images/s [03/17 21:29:48] ppdet.engine INFO: Epoch: [67] [160/523] learning_rate: 0.247064 loss_vfl: 1.214444 loss_bbox: 0.568493 loss_dfl: 0.430940 loss: 2.171570 eta: 1 day, 6:15:56 batch_cost: 0.7943 data_cost: 0.0025 ips: 70.4993 images/s [03/17 21:30:09] ppdet.engine INFO: Epoch: [67] [180/523] learning_rate: 0.247027 loss_vfl: 1.298163 loss_bbox: 0.626096 loss_dfl: 0.479444 loss: 2.422092 eta: 1 day, 6:15:38 batch_cost: 0.8867 data_cost: 0.0028 ips: 63.1580 images/s [03/17 21:30:30] ppdet.engine INFO: Epoch: [67] [200/523] learning_rate: 0.246991 loss_vfl: 1.282745 loss_bbox: 0.597651 loss_dfl: 0.461984 loss: 2.318067 eta: 1 day, 6:15:19 batch_cost: 0.8843 data_cost: 0.0034 ips: 63.3292 images/s [03/17 21:30:50] ppdet.engine INFO: Epoch: [67] [220/523] learning_rate: 0.246955 loss_vfl: 1.285558 loss_bbox: 0.580119 loss_dfl: 0.453619 loss: 2.310223 eta: 1 day, 6:15:01 batch_cost: 0.8910 data_cost: 0.0129 ips: 62.8501 images/s [03/17 21:31:11] ppdet.engine INFO: Epoch: [67] [240/523] learning_rate: 0.246919 loss_vfl: 1.249271 loss_bbox: 0.586017 loss_dfl: 0.463955 loss: 2.302593 eta: 1 day, 6:14:47 batch_cost: 0.9540 data_cost: 0.0675 ips: 58.7010 images/s [03/17 21:31:32] ppdet.engine INFO: Epoch: [67] [260/523] learning_rate: 0.246882 loss_vfl: 1.301719 loss_bbox: 0.586351 loss_dfl: 0.454503 loss: 2.339792 eta: 1 day, 6:14:28 batch_cost: 0.8808 data_cost: 0.0116 ips: 63.5812 images/s [03/17 21:31:53] ppdet.engine INFO: Epoch: [67] [280/523] learning_rate: 0.246846 loss_vfl: 1.259013 loss_bbox: 0.606616 loss_dfl: 0.452473 loss: 2.321250 eta: 1 day, 6:14:13 batch_cost: 0.9320 data_cost: 0.1241 ips: 60.0833 images/s [03/17 21:32:14] ppdet.engine INFO: Epoch: [67] [300/523] learning_rate: 0.246810 loss_vfl: 1.242811 loss_bbox: 0.592496 loss_dfl: 0.440122 loss: 2.265411 eta: 1 day, 6:13:56 batch_cost: 0.9194 data_cost: 0.1482 ips: 60.9121 images/s [03/17 21:32:35] ppdet.engine INFO: Epoch: [67] [320/523] learning_rate: 0.246774 loss_vfl: 1.277984 loss_bbox: 0.635084 loss_dfl: 0.477555 loss: 2.394676 eta: 1 day, 6:13:39 batch_cost: 0.9091 data_cost: 0.0025 ips: 61.6000 images/s [03/17 21:32:57] ppdet.engine INFO: Epoch: [67] [340/523] learning_rate: 0.246737 loss_vfl: 1.343481 loss_bbox: 0.645946 loss_dfl: 0.487773 loss: 2.458013 eta: 1 day, 6:13:28 batch_cost: 0.9939 data_cost: 0.0659 ips: 56.3462 images/s [03/17 21:33:17] ppdet.engine INFO: Epoch: [67] [360/523] learning_rate: 0.246701 loss_vfl: 1.335222 loss_bbox: 0.634336 loss_dfl: 0.476825 loss: 2.458732 eta: 1 day, 6:13:06 batch_cost: 0.8291 data_cost: 0.1022 ips: 67.5405 images/s [03/17 21:33:39] ppdet.engine INFO: Epoch: [67] [380/523] learning_rate: 0.246664 loss_vfl: 1.279182 loss_bbox: 0.620876 loss_dfl: 0.469362 loss: 2.391239 eta: 1 day, 6:12:56 batch_cost: 1.0133 data_cost: 0.2164 ips: 55.2671 images/s [03/17 21:33:58] ppdet.engine INFO: Epoch: [67] [400/523] learning_rate: 0.246628 loss_vfl: 1.275618 loss_bbox: 0.621325 loss_dfl: 0.472677 loss: 2.363508 eta: 1 day, 6:12:37 batch_cost: 0.8802 data_cost: 0.1042 ips: 63.6232 images/s [03/17 21:34:15] ppdet.engine INFO: Epoch: [67] [420/523] learning_rate: 0.246592 loss_vfl: 1.218449 loss_bbox: 0.579933 loss_dfl: 0.437293 loss: 2.225878 eta: 1 day, 6:12:07 batch_cost: 0.7218 data_cost: 0.0010 ips: 77.5857 images/s [03/17 21:34:33] ppdet.engine INFO: Epoch: [67] [440/523] learning_rate: 0.246555 loss_vfl: 1.294698 loss_bbox: 0.625528 loss_dfl: 0.469166 loss: 2.373721 eta: 1 day, 6:11:42 batch_cost: 0.7967 data_cost: 0.1121 ips: 70.2866 images/s [03/17 21:34:55] ppdet.engine INFO: Epoch: [67] [460/523] learning_rate: 0.246519 loss_vfl: 1.326867 loss_bbox: 0.645184 loss_dfl: 0.498200 loss: 2.484485 eta: 1 day, 6:11:27 batch_cost: 0.9373 data_cost: 0.0765 ips: 59.7487 images/s [03/17 21:35:15] ppdet.engine INFO: Epoch: [67] [480/523] learning_rate: 0.246482 loss_vfl: 1.281187 loss_bbox: 0.608317 loss_dfl: 0.466430 loss: 2.386330 eta: 1 day, 6:11:10 batch_cost: 0.9070 data_cost: 0.0970 ips: 61.7426 images/s [03/17 21:35:35] ppdet.engine INFO: Epoch: [67] [500/523] learning_rate: 0.246446 loss_vfl: 1.227090 loss_bbox: 0.571943 loss_dfl: 0.433205 loss: 2.273442 eta: 1 day, 6:10:48 batch_cost: 0.8261 data_cost: 0.0022 ips: 67.7860 images/s [03/17 21:35:52] ppdet.engine INFO: Epoch: [67] [520/523] learning_rate: 0.246409 loss_vfl: 1.233327 loss_bbox: 0.607173 loss_dfl: 0.457200 loss: 2.256820 eta: 1 day, 6:10:22 batch_cost: 0.7829 data_cost: 0.0436 ips: 71.5299 images/s [03/17 21:36:02] ppdet.engine INFO: Epoch: [68] [ 0/523] learning_rate: 0.246404 loss_vfl: 1.233327 loss_bbox: 0.607173 loss_dfl: 0.457200 loss: 2.256820 eta: 1 day, 6:10:40 batch_cost: 1.0626 data_cost: 0.4014 ips: 52.6986 images/s [03/17 21:36:28] ppdet.engine INFO: Epoch: [68] [ 20/523] learning_rate: 0.246367 loss_vfl: 1.254490 loss_bbox: 0.645032 loss_dfl: 0.472515 loss: 2.381944 eta: 1 day, 6:10:42 batch_cost: 1.1918 data_cost: 0.1273 ips: 46.9892 images/s [03/17 21:36:49] ppdet.engine INFO: Epoch: [68] [ 40/523] learning_rate: 0.246331 loss_vfl: 1.286533 loss_bbox: 0.624976 loss_dfl: 0.481600 loss: 2.399408 eta: 1 day, 6:10:24 batch_cost: 0.8838 data_cost: 0.0018 ips: 63.3640 images/s [03/17 21:37:10] ppdet.engine INFO: Epoch: [68] [ 60/523] learning_rate: 0.246294 loss_vfl: 1.212764 loss_bbox: 0.580776 loss_dfl: 0.451244 loss: 2.224223 eta: 1 day, 6:10:04 batch_cost: 0.8766 data_cost: 0.0024 ips: 63.8850 images/s [03/17 21:37:32] ppdet.engine INFO: Epoch: [68] [ 80/523] learning_rate: 0.246258 loss_vfl: 1.272786 loss_bbox: 0.642926 loss_dfl: 0.470913 loss: 2.408779 eta: 1 day, 6:09:52 batch_cost: 0.9704 data_cost: 0.0113 ips: 57.7105 images/s [03/17 21:37:54] ppdet.engine INFO: Epoch: [68] [100/523] learning_rate: 0.246221 loss_vfl: 1.256853 loss_bbox: 0.592084 loss_dfl: 0.462916 loss: 2.348388 eta: 1 day, 6:09:41 batch_cost: 1.0023 data_cost: 0.0004 ips: 55.8724 images/s [03/17 21:38:17] ppdet.engine INFO: Epoch: [68] [120/523] learning_rate: 0.246185 loss_vfl: 1.313483 loss_bbox: 0.612675 loss_dfl: 0.475315 loss: 2.393047 eta: 1 day, 6:09:30 batch_cost: 1.0015 data_cost: 0.0036 ips: 55.9180 images/s [03/17 21:38:37] ppdet.engine INFO: Epoch: [68] [140/523] learning_rate: 0.246148 loss_vfl: 1.378940 loss_bbox: 0.655598 loss_dfl: 0.500839 loss: 2.549391 eta: 1 day, 6:09:10 batch_cost: 0.8609 data_cost: 0.1251 ips: 65.0519 images/s [03/17 21:38:57] ppdet.engine INFO: Epoch: [68] [160/523] learning_rate: 0.246111 loss_vfl: 1.241327 loss_bbox: 0.602286 loss_dfl: 0.454694 loss: 2.278281 eta: 1 day, 6:08:47 batch_cost: 0.8199 data_cost: 0.0012 ips: 68.2977 images/s [03/17 21:39:14] ppdet.engine INFO: Epoch: [68] [180/523] learning_rate: 0.246075 loss_vfl: 1.284868 loss_bbox: 0.616277 loss_dfl: 0.473497 loss: 2.400651 eta: 1 day, 6:08:18 batch_cost: 0.7296 data_cost: 0.0026 ips: 76.7531 images/s [03/17 21:39:34] ppdet.engine INFO: Epoch: [68] [200/523] learning_rate: 0.246038 loss_vfl: 1.349301 loss_bbox: 0.633223 loss_dfl: 0.475953 loss: 2.422560 eta: 1 day, 6:08:02 batch_cost: 0.9224 data_cost: 0.0085 ips: 60.7082 images/s [03/17 21:39:54] ppdet.engine INFO: Epoch: [68] [220/523] learning_rate: 0.246001 loss_vfl: 1.259550 loss_bbox: 0.606871 loss_dfl: 0.465235 loss: 2.358329 eta: 1 day, 6:07:44 batch_cost: 0.8957 data_cost: 0.0029 ips: 62.5225 images/s [03/17 21:40:18] ppdet.engine INFO: Epoch: [68] [240/523] learning_rate: 0.245965 loss_vfl: 1.367557 loss_bbox: 0.635741 loss_dfl: 0.502667 loss: 2.510489 eta: 1 day, 6:07:36 batch_cost: 1.0504 data_cost: 0.0046 ips: 53.3115 images/s [03/17 21:40:39] ppdet.engine INFO: Epoch: [68] [260/523] learning_rate: 0.245928 loss_vfl: 1.288591 loss_bbox: 0.634403 loss_dfl: 0.469773 loss: 2.377672 eta: 1 day, 6:07:19 batch_cost: 0.9050 data_cost: 0.0021 ips: 61.8751 images/s [03/17 21:41:00] ppdet.engine INFO: Epoch: [68] [280/523] learning_rate: 0.245891 loss_vfl: 1.235393 loss_bbox: 0.586936 loss_dfl: 0.442916 loss: 2.261444 eta: 1 day, 6:07:06 batch_cost: 0.9660 data_cost: 0.1152 ips: 57.9706 images/s [03/17 21:41:22] ppdet.engine INFO: Epoch: [68] [300/523] learning_rate: 0.245854 loss_vfl: 1.220880 loss_bbox: 0.605925 loss_dfl: 0.449744 loss: 2.275919 eta: 1 day, 6:06:51 batch_cost: 0.9396 data_cost: 0.2405 ips: 59.5971 images/s [03/17 21:41:44] ppdet.engine INFO: Epoch: [68] [320/523] learning_rate: 0.245818 loss_vfl: 1.388404 loss_bbox: 0.680256 loss_dfl: 0.505293 loss: 2.579364 eta: 1 day, 6:06:39 batch_cost: 0.9919 data_cost: 0.0704 ips: 56.4545 images/s [03/17 21:42:06] ppdet.engine INFO: Epoch: [68] [340/523] learning_rate: 0.245781 loss_vfl: 1.243642 loss_bbox: 0.609108 loss_dfl: 0.461472 loss: 2.345623 eta: 1 day, 6:06:28 batch_cost: 0.9978 data_cost: 0.1767 ips: 56.1237 images/s [03/17 21:42:26] ppdet.engine INFO: Epoch: [68] [360/523] learning_rate: 0.245744 loss_vfl: 1.283556 loss_bbox: 0.625105 loss_dfl: 0.467351 loss: 2.401928 eta: 1 day, 6:06:09 batch_cost: 0.8692 data_cost: 0.0046 ips: 64.4246 images/s [03/17 21:42:49] ppdet.engine INFO: Epoch: [68] [380/523] learning_rate: 0.245707 loss_vfl: 1.266743 loss_bbox: 0.616314 loss_dfl: 0.458292 loss: 2.344313 eta: 1 day, 6:06:02 batch_cost: 1.0582 data_cost: 0.2238 ips: 52.9190 images/s [03/17 21:43:09] ppdet.engine INFO: Epoch: [68] [400/523] learning_rate: 0.245670 loss_vfl: 1.310303 loss_bbox: 0.606994 loss_dfl: 0.465862 loss: 2.360521 eta: 1 day, 6:05:43 batch_cost: 0.8890 data_cost: 0.0015 ips: 62.9937 images/s [03/17 21:43:30] ppdet.engine INFO: Epoch: [68] [420/523] learning_rate: 0.245634 loss_vfl: 1.332391 loss_bbox: 0.657286 loss_dfl: 0.485938 loss: 2.483170 eta: 1 day, 6:05:21 batch_cost: 0.8257 data_cost: 0.0427 ips: 67.8240 images/s [03/17 21:43:49] ppdet.engine INFO: Epoch: [68] [440/523] learning_rate: 0.245597 loss_vfl: 1.382150 loss_bbox: 0.689366 loss_dfl: 0.509564 loss: 2.551250 eta: 1 day, 6:05:00 batch_cost: 0.8489 data_cost: 0.1063 ips: 65.9680 images/s [03/17 21:44:08] ppdet.engine INFO: Epoch: [68] [460/523] learning_rate: 0.245560 loss_vfl: 1.337071 loss_bbox: 0.639001 loss_dfl: 0.488325 loss: 2.455098 eta: 1 day, 6:04:40 batch_cost: 0.8652 data_cost: 0.0007 ips: 64.7252 images/s [03/17 21:44:28] ppdet.engine INFO: Epoch: [68] [480/523] learning_rate: 0.245523 loss_vfl: 1.254511 loss_bbox: 0.615217 loss_dfl: 0.457171 loss: 2.306319 eta: 1 day, 6:04:16 batch_cost: 0.8125 data_cost: 0.0025 ips: 68.9189 images/s [03/17 21:44:49] ppdet.engine INFO: Epoch: [68] [500/523] learning_rate: 0.245486 loss_vfl: 1.302469 loss_bbox: 0.622369 loss_dfl: 0.474902 loss: 2.435450 eta: 1 day, 6:03:59 batch_cost: 0.9114 data_cost: 0.0038 ips: 61.4456 images/s [03/17 21:45:07] ppdet.engine INFO: Epoch: [68] [520/523] learning_rate: 0.245449 loss_vfl: 1.349547 loss_bbox: 0.651151 loss_dfl: 0.495437 loss: 2.486977 eta: 1 day, 6:03:36 batch_cost: 0.8193 data_cost: 0.0420 ips: 68.3534 images/s [03/17 21:45:20] ppdet.engine INFO: Epoch: [69] [ 0/523] learning_rate: 0.245443 loss_vfl: 1.320489 loss_bbox: 0.623518 loss_dfl: 0.482923 loss: 2.417098 eta: 1 day, 6:04:03 batch_cost: 1.2885 data_cost: 0.5141 ips: 43.4610 images/s [03/17 21:45:40] ppdet.engine INFO: Epoch: [69] [ 20/523] learning_rate: 0.245407 loss_vfl: 1.257530 loss_bbox: 0.600424 loss_dfl: 0.459471 loss: 2.300335 eta: 1 day, 6:03:40 batch_cost: 0.8299 data_cost: 0.0059 ips: 67.4778 images/s [03/17 21:46:01] ppdet.engine INFO: Epoch: [69] [ 40/523] learning_rate: 0.245370 loss_vfl: 1.300477 loss_bbox: 0.604979 loss_dfl: 0.463819 loss: 2.364525 eta: 1 day, 6:03:22 batch_cost: 0.8948 data_cost: 0.0051 ips: 62.5808 images/s [03/17 21:46:21] ppdet.engine INFO: Epoch: [69] [ 60/523] learning_rate: 0.245333 loss_vfl: 1.231169 loss_bbox: 0.588198 loss_dfl: 0.443090 loss: 2.254090 eta: 1 day, 6:03:03 batch_cost: 0.8719 data_cost: 0.0013 ips: 64.2251 images/s [03/17 21:46:42] ppdet.engine INFO: Epoch: [69] [ 80/523] learning_rate: 0.245296 loss_vfl: 1.288735 loss_bbox: 0.633707 loss_dfl: 0.483485 loss: 2.410216 eta: 1 day, 6:02:42 batch_cost: 0.8591 data_cost: 0.0502 ips: 65.1881 images/s [03/17 21:47:03] ppdet.engine INFO: Epoch: [69] [100/523] learning_rate: 0.245258 loss_vfl: 1.306801 loss_bbox: 0.636630 loss_dfl: 0.482922 loss: 2.454362 eta: 1 day, 6:02:27 batch_cost: 0.9280 data_cost: 0.0562 ips: 60.3427 images/s [03/17 21:47:24] ppdet.engine INFO: Epoch: [69] [120/523] learning_rate: 0.245221 loss_vfl: 1.320714 loss_bbox: 0.620709 loss_dfl: 0.476723 loss: 2.409281 eta: 1 day, 6:02:10 batch_cost: 0.9149 data_cost: 0.0652 ips: 61.2056 images/s [03/17 21:47:45] ppdet.engine INFO: Epoch: [69] [140/523] learning_rate: 0.245184 loss_vfl: 1.298360 loss_bbox: 0.626666 loss_dfl: 0.470518 loss: 2.417347 eta: 1 day, 6:01:57 batch_cost: 0.9762 data_cost: 0.0546 ips: 57.3675 images/s [03/17 21:48:07] ppdet.engine INFO: Epoch: [69] [160/523] learning_rate: 0.245147 loss_vfl: 1.312541 loss_bbox: 0.599787 loss_dfl: 0.466752 loss: 2.387302 eta: 1 day, 6:01:43 batch_cost: 0.9523 data_cost: 0.1592 ips: 58.8067 images/s [03/17 21:48:27] ppdet.engine INFO: Epoch: [69] [180/523] learning_rate: 0.245110 loss_vfl: 1.269798 loss_bbox: 0.605068 loss_dfl: 0.463281 loss: 2.337694 eta: 1 day, 6:01:24 batch_cost: 0.8787 data_cost: 0.1005 ips: 63.7309 images/s [03/17 21:48:45] ppdet.engine INFO: Epoch: [69] [200/523] learning_rate: 0.245073 loss_vfl: 1.339189 loss_bbox: 0.652580 loss_dfl: 0.493441 loss: 2.516386 eta: 1 day, 6:01:00 batch_cost: 0.8049 data_cost: 0.0060 ips: 69.5775 images/s [03/17 21:49:03] ppdet.engine INFO: Epoch: [69] [220/523] learning_rate: 0.245036 loss_vfl: 1.288745 loss_bbox: 0.631612 loss_dfl: 0.476850 loss: 2.410511 eta: 1 day, 6:00:35 batch_cost: 0.7902 data_cost: 0.0030 ips: 70.8641 images/s [03/17 21:49:23] ppdet.engine INFO: Epoch: [69] [240/523] learning_rate: 0.244999 loss_vfl: 1.374777 loss_bbox: 0.667569 loss_dfl: 0.501361 loss: 2.515738 eta: 1 day, 6:00:15 batch_cost: 0.8545 data_cost: 0.0037 ips: 65.5327 images/s [03/17 21:49:45] ppdet.engine INFO: Epoch: [69] [260/523] learning_rate: 0.244962 loss_vfl: 1.342841 loss_bbox: 0.664869 loss_dfl: 0.492056 loss: 2.468946 eta: 1 day, 6:00:00 batch_cost: 0.9418 data_cost: 0.0076 ips: 59.4622 images/s [03/17 21:50:07] ppdet.engine INFO: Epoch: [69] [280/523] learning_rate: 0.244924 loss_vfl: 1.296682 loss_bbox: 0.620933 loss_dfl: 0.473327 loss: 2.367413 eta: 1 day, 5:59:46 batch_cost: 0.9554 data_cost: 0.0047 ips: 58.6123 images/s [03/17 21:50:25] ppdet.engine INFO: Epoch: [69] [300/523] learning_rate: 0.244887 loss_vfl: 1.349381 loss_bbox: 0.638670 loss_dfl: 0.480602 loss: 2.445951 eta: 1 day, 5:59:20 batch_cost: 0.7760 data_cost: 0.0058 ips: 72.1696 images/s [03/17 21:50:47] ppdet.engine INFO: Epoch: [69] [320/523] learning_rate: 0.244850 loss_vfl: 1.338536 loss_bbox: 0.613265 loss_dfl: 0.479397 loss: 2.428254 eta: 1 day, 5:59:06 batch_cost: 0.9543 data_cost: 0.0016 ips: 58.6796 images/s [03/17 21:51:07] ppdet.engine INFO: Epoch: [69] [340/523] learning_rate: 0.244813 loss_vfl: 1.229885 loss_bbox: 0.607839 loss_dfl: 0.465080 loss: 2.313401 eta: 1 day, 5:58:49 batch_cost: 0.9067 data_cost: 0.0082 ips: 61.7631 images/s [03/17 21:51:29] ppdet.engine INFO: Epoch: [69] [360/523] learning_rate: 0.244776 loss_vfl: 1.294309 loss_bbox: 0.641161 loss_dfl: 0.482138 loss: 2.401137 eta: 1 day, 5:58:34 batch_cost: 0.9481 data_cost: 0.0030 ips: 59.0649 images/s [03/17 21:51:49] ppdet.engine INFO: Epoch: [69] [380/523] learning_rate: 0.244738 loss_vfl: 1.299455 loss_bbox: 0.641519 loss_dfl: 0.489839 loss: 2.387308 eta: 1 day, 5:58:16 batch_cost: 0.8841 data_cost: 0.0046 ips: 63.3392 images/s [03/17 21:52:10] ppdet.engine INFO: Epoch: [69] [400/523] learning_rate: 0.244701 loss_vfl: 1.292402 loss_bbox: 0.623685 loss_dfl: 0.478041 loss: 2.392634 eta: 1 day, 5:57:58 batch_cost: 0.9065 data_cost: 0.0035 ips: 61.7765 images/s [03/17 21:52:30] ppdet.engine INFO: Epoch: [69] [420/523] learning_rate: 0.244664 loss_vfl: 1.296531 loss_bbox: 0.624387 loss_dfl: 0.475294 loss: 2.401017 eta: 1 day, 5:57:33 batch_cost: 0.7907 data_cost: 0.0085 ips: 70.8203 images/s [03/17 21:52:52] ppdet.engine INFO: Epoch: [69] [440/523] learning_rate: 0.244626 loss_vfl: 1.327956 loss_bbox: 0.646829 loss_dfl: 0.491280 loss: 2.485056 eta: 1 day, 5:57:20 batch_cost: 0.9687 data_cost: 0.0010 ips: 57.8074 images/s [03/17 21:53:12] ppdet.engine INFO: Epoch: [69] [460/523] learning_rate: 0.244589 loss_vfl: 1.279479 loss_bbox: 0.599257 loss_dfl: 0.467946 loss: 2.361723 eta: 1 day, 5:57:01 batch_cost: 0.8699 data_cost: 0.0012 ips: 64.3777 images/s [03/17 21:53:29] ppdet.engine INFO: Epoch: [69] [480/523] learning_rate: 0.244552 loss_vfl: 1.314100 loss_bbox: 0.602001 loss_dfl: 0.466027 loss: 2.375863 eta: 1 day, 5:56:28 batch_cost: 0.6767 data_cost: 0.0082 ips: 82.7575 images/s [03/17 21:53:48] ppdet.engine INFO: Epoch: [69] [500/523] learning_rate: 0.244514 loss_vfl: 1.287579 loss_bbox: 0.640915 loss_dfl: 0.498022 loss: 2.440014 eta: 1 day, 5:56:06 batch_cost: 0.8348 data_cost: 0.1295 ips: 67.0857 images/s [03/17 21:54:05] ppdet.engine INFO: Epoch: [69] [520/523] learning_rate: 0.244477 loss_vfl: 1.268448 loss_bbox: 0.606517 loss_dfl: 0.464632 loss: 2.323193 eta: 1 day, 5:55:37 batch_cost: 0.7192 data_cost: 0.0007 ips: 77.8654 images/s [03/17 21:54:07] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 21:54:07] ppdet.engine INFO: Eval iter: 0 [03/17 21:54:30] ppdet.engine INFO: Eval iter: 100 [03/17 21:54:42] ppdet.engine INFO: Eval iter: 200 [03/17 21:54:54] ppdet.engine INFO: Eval iter: 300 [03/17 21:55:05] ppdet.engine INFO: Eval iter: 400 [03/17 21:55:17] ppdet.engine INFO: Eval iter: 500 [03/17 21:55:29] ppdet.engine INFO: Eval iter: 600 [03/17 21:55:43] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.96s) creating index... index created! [03/17 21:55:44] 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=83.70s). Accumulating evaluation results... DONE (t=17.93s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.207 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.326 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.216 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.069 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.204 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.350 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.224 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.363 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 ] = 0.126 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 ] = 0.627 [03/17 21:57:33] ppdet.engine INFO: Total sample number: 4952, averge FPS: 58.74784539757755 [03/17 21:57:33] ppdet.engine INFO: Best test bbox ap is 0.207. [03/17 21:57:33] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 21:57:33] ppdet.engine INFO: Epoch: [70] [ 0/523] learning_rate: 0.244471 loss_vfl: 1.265380 loss_bbox: 0.606517 loss_dfl: 0.464632 loss: 2.323193 eta: 1 day, 5:55:28 batch_cost: 0.6215 data_cost: 0.0007 ips: 90.1094 images/s [03/17 21:57:50] ppdet.engine INFO: Epoch: [70] [ 20/523] learning_rate: 0.244434 loss_vfl: 1.262799 loss_bbox: 0.615965 loss_dfl: 0.468531 loss: 2.343669 eta: 1 day, 5:54:58 batch_cost: 0.7067 data_cost: 0.0038 ips: 79.2421 images/s [03/17 21:58:08] ppdet.engine INFO: Epoch: [70] [ 40/523] learning_rate: 0.244397 loss_vfl: 1.257951 loss_bbox: 0.588165 loss_dfl: 0.459147 loss: 2.312626 eta: 1 day, 5:54:29 batch_cost: 0.7350 data_cost: 0.0077 ips: 76.1955 images/s [03/17 21:58:29] ppdet.engine INFO: Epoch: [70] [ 60/523] learning_rate: 0.244359 loss_vfl: 1.360611 loss_bbox: 0.643210 loss_dfl: 0.492060 loss: 2.485964 eta: 1 day, 5:54:15 batch_cost: 0.9465 data_cost: 0.0055 ips: 59.1666 images/s [03/17 21:58:50] ppdet.engine INFO: Epoch: [70] [ 80/523] learning_rate: 0.244322 loss_vfl: 1.228438 loss_bbox: 0.606370 loss_dfl: 0.466510 loss: 2.305717 eta: 1 day, 5:53:52 batch_cost: 0.8267 data_cost: 0.0039 ips: 67.7386 images/s [03/17 21:59:09] ppdet.engine INFO: Epoch: [70] [100/523] learning_rate: 0.244284 loss_vfl: 1.318506 loss_bbox: 0.627062 loss_dfl: 0.472588 loss: 2.427816 eta: 1 day, 5:53:29 batch_cost: 0.8176 data_cost: 0.0068 ips: 68.4898 images/s [03/17 21:59:31] ppdet.engine INFO: Epoch: [70] [120/523] learning_rate: 0.244247 loss_vfl: 1.259704 loss_bbox: 0.575107 loss_dfl: 0.447107 loss: 2.299638 eta: 1 day, 5:53:15 batch_cost: 0.9458 data_cost: 0.0019 ips: 59.2088 images/s [03/17 21:59:52] ppdet.engine INFO: Epoch: [70] [140/523] learning_rate: 0.244209 loss_vfl: 1.351803 loss_bbox: 0.650428 loss_dfl: 0.485314 loss: 2.490628 eta: 1 day, 5:52:57 batch_cost: 0.9004 data_cost: 0.0046 ips: 62.1926 images/s [03/17 22:00:14] ppdet.engine INFO: Epoch: [70] [160/523] learning_rate: 0.244172 loss_vfl: 1.323668 loss_bbox: 0.646171 loss_dfl: 0.483492 loss: 2.462566 eta: 1 day, 5:52:43 batch_cost: 0.9490 data_cost: 0.0003 ips: 59.0084 images/s [03/17 22:00:34] ppdet.engine INFO: Epoch: [70] [180/523] learning_rate: 0.244134 loss_vfl: 1.338109 loss_bbox: 0.615310 loss_dfl: 0.482906 loss: 2.441705 eta: 1 day, 5:52:29 batch_cost: 0.9574 data_cost: 0.0027 ips: 58.4932 images/s [03/17 22:00:54] ppdet.engine INFO: Epoch: [70] [200/523] learning_rate: 0.244097 loss_vfl: 1.300271 loss_bbox: 0.680174 loss_dfl: 0.501190 loss: 2.464216 eta: 1 day, 5:52:05 batch_cost: 0.8056 data_cost: 0.0045 ips: 69.5114 images/s [03/17 22:01:15] ppdet.engine INFO: Epoch: [70] [220/523] learning_rate: 0.244059 loss_vfl: 1.243898 loss_bbox: 0.598176 loss_dfl: 0.453238 loss: 2.291467 eta: 1 day, 5:51:46 batch_cost: 0.8793 data_cost: 0.0065 ips: 63.6886 images/s [03/17 22:01:35] ppdet.engine INFO: Epoch: [70] [240/523] learning_rate: 0.244021 loss_vfl: 1.273019 loss_bbox: 0.615070 loss_dfl: 0.475030 loss: 2.354375 eta: 1 day, 5:51:26 batch_cost: 0.8610 data_cost: 0.0065 ips: 65.0395 images/s [03/17 22:01:56] ppdet.engine INFO: Epoch: [70] [260/523] learning_rate: 0.243984 loss_vfl: 1.273210 loss_bbox: 0.621339 loss_dfl: 0.467358 loss: 2.358248 eta: 1 day, 5:51:05 batch_cost: 0.8534 data_cost: 0.0027 ips: 65.6230 images/s [03/17 22:02:17] ppdet.engine INFO: Epoch: [70] [280/523] learning_rate: 0.243946 loss_vfl: 1.237178 loss_bbox: 0.573600 loss_dfl: 0.454684 loss: 2.274844 eta: 1 day, 5:50:47 batch_cost: 0.8910 data_cost: 0.0135 ips: 62.8526 images/s [03/17 22:02:35] ppdet.engine INFO: Epoch: [70] [300/523] learning_rate: 0.243909 loss_vfl: 1.285172 loss_bbox: 0.616496 loss_dfl: 0.482144 loss: 2.405297 eta: 1 day, 5:50:24 batch_cost: 0.8135 data_cost: 0.0050 ips: 68.8380 images/s [03/17 22:02:51] ppdet.engine INFO: Epoch: [70] [320/523] learning_rate: 0.243871 loss_vfl: 1.284659 loss_bbox: 0.607336 loss_dfl: 0.481140 loss: 2.402314 eta: 1 day, 5:49:50 batch_cost: 0.6420 data_cost: 0.0048 ips: 87.2314 images/s [03/17 22:03:10] ppdet.engine INFO: Epoch: [70] [340/523] learning_rate: 0.243833 loss_vfl: 1.265607 loss_bbox: 0.596224 loss_dfl: 0.462565 loss: 2.323453 eta: 1 day, 5:49:22 batch_cost: 0.7406 data_cost: 0.0045 ips: 75.6147 images/s [03/17 22:03:30] ppdet.engine INFO: Epoch: [70] [360/523] learning_rate: 0.243796 loss_vfl: 1.338055 loss_bbox: 0.624911 loss_dfl: 0.478534 loss: 2.439850 eta: 1 day, 5:49:04 batch_cost: 0.8972 data_cost: 0.0691 ips: 62.4139 images/s [03/17 22:03:51] ppdet.engine INFO: Epoch: [70] [380/523] learning_rate: 0.243758 loss_vfl: 1.267467 loss_bbox: 0.615909 loss_dfl: 0.476843 loss: 2.389987 eta: 1 day, 5:48:46 batch_cost: 0.8928 data_cost: 0.0057 ips: 62.7225 images/s [03/17 22:04:11] ppdet.engine INFO: Epoch: [70] [400/523] learning_rate: 0.243720 loss_vfl: 1.381064 loss_bbox: 0.649578 loss_dfl: 0.502694 loss: 2.496111 eta: 1 day, 5:48:26 batch_cost: 0.8659 data_cost: 0.0044 ips: 64.6712 images/s [03/17 22:04:32] ppdet.engine INFO: Epoch: [70] [420/523] learning_rate: 0.243682 loss_vfl: 1.311075 loss_bbox: 0.664351 loss_dfl: 0.489135 loss: 2.482724 eta: 1 day, 5:48:08 batch_cost: 0.8960 data_cost: 0.0029 ips: 62.5026 images/s [03/17 22:04:53] ppdet.engine INFO: Epoch: [70] [440/523] learning_rate: 0.243645 loss_vfl: 1.329496 loss_bbox: 0.636074 loss_dfl: 0.486472 loss: 2.457508 eta: 1 day, 5:47:49 batch_cost: 0.8714 data_cost: 0.0026 ips: 64.2633 images/s [03/17 22:05:14] ppdet.engine INFO: Epoch: [70] [460/523] learning_rate: 0.243607 loss_vfl: 1.322564 loss_bbox: 0.637963 loss_dfl: 0.479833 loss: 2.414992 eta: 1 day, 5:47:34 batch_cost: 0.9464 data_cost: 0.0045 ips: 59.1689 images/s [03/17 22:05:35] ppdet.engine INFO: Epoch: [70] [480/523] learning_rate: 0.243569 loss_vfl: 1.257336 loss_bbox: 0.590150 loss_dfl: 0.458773 loss: 2.345349 eta: 1 day, 5:47:15 batch_cost: 0.8672 data_cost: 0.0091 ips: 64.5767 images/s [03/17 22:05:55] ppdet.engine INFO: Epoch: [70] [500/523] learning_rate: 0.243531 loss_vfl: 1.255235 loss_bbox: 0.601415 loss_dfl: 0.453057 loss: 2.289116 eta: 1 day, 5:46:56 batch_cost: 0.8825 data_cost: 0.0029 ips: 63.4584 images/s [03/17 22:06:13] ppdet.engine INFO: Epoch: [70] [520/523] learning_rate: 0.243494 loss_vfl: 1.244596 loss_bbox: 0.603413 loss_dfl: 0.468847 loss: 2.377619 eta: 1 day, 5:46:32 batch_cost: 0.8093 data_cost: 0.0034 ips: 69.1948 images/s [03/17 22:06:26] ppdet.engine INFO: Epoch: [71] [ 0/523] learning_rate: 0.243488 loss_vfl: 1.280308 loss_bbox: 0.624750 loss_dfl: 0.474606 loss: 2.380865 eta: 1 day, 5:46:57 batch_cost: 1.2500 data_cost: 0.3780 ips: 44.7993 images/s [03/17 22:06:48] ppdet.engine INFO: Epoch: [71] [ 20/523] learning_rate: 0.243450 loss_vfl: 1.319855 loss_bbox: 0.634183 loss_dfl: 0.478588 loss: 2.428631 eta: 1 day, 5:46:40 batch_cost: 0.9009 data_cost: 0.0024 ips: 62.1591 images/s [03/17 22:07:09] ppdet.engine INFO: Epoch: [71] [ 40/523] learning_rate: 0.243412 loss_vfl: 1.241593 loss_bbox: 0.616294 loss_dfl: 0.458702 loss: 2.319577 eta: 1 day, 5:46:19 batch_cost: 0.8588 data_cost: 0.0043 ips: 65.2098 images/s [03/17 22:07:27] ppdet.engine INFO: Epoch: [71] [ 60/523] learning_rate: 0.243374 loss_vfl: 1.294811 loss_bbox: 0.620800 loss_dfl: 0.478255 loss: 2.442296 eta: 1 day, 5:45:54 batch_cost: 0.7813 data_cost: 0.0032 ips: 71.6730 images/s [03/17 22:07:45] ppdet.engine INFO: Epoch: [71] [ 80/523] learning_rate: 0.243336 loss_vfl: 1.214458 loss_bbox: 0.580462 loss_dfl: 0.434955 loss: 2.222666 eta: 1 day, 5:45:27 batch_cost: 0.7495 data_cost: 0.0004 ips: 74.7134 images/s [03/17 22:08:04] ppdet.engine INFO: Epoch: [71] [100/523] learning_rate: 0.243298 loss_vfl: 1.258403 loss_bbox: 0.618719 loss_dfl: 0.464843 loss: 2.334670 eta: 1 day, 5:45:05 batch_cost: 0.8352 data_cost: 0.0337 ips: 67.0537 images/s [03/17 22:08:28] ppdet.engine INFO: Epoch: [71] [120/523] learning_rate: 0.243261 loss_vfl: 1.232325 loss_bbox: 0.564771 loss_dfl: 0.429781 loss: 2.251521 eta: 1 day, 5:44:56 batch_cost: 1.0223 data_cost: 0.1492 ips: 54.7785 images/s [03/17 22:08:48] ppdet.engine INFO: Epoch: [71] [140/523] learning_rate: 0.243223 loss_vfl: 1.277823 loss_bbox: 0.640986 loss_dfl: 0.489364 loss: 2.433150 eta: 1 day, 5:44:37 batch_cost: 0.8792 data_cost: 0.1225 ips: 63.6976 images/s [03/17 22:09:10] ppdet.engine INFO: Epoch: [71] [160/523] learning_rate: 0.243185 loss_vfl: 1.308746 loss_bbox: 0.652873 loss_dfl: 0.496469 loss: 2.489214 eta: 1 day, 5:44:24 batch_cost: 0.9777 data_cost: 0.2380 ips: 57.2778 images/s [03/17 22:09:32] ppdet.engine INFO: Epoch: [71] [180/523] learning_rate: 0.243147 loss_vfl: 1.316397 loss_bbox: 0.617170 loss_dfl: 0.470233 loss: 2.401019 eta: 1 day, 5:44:06 batch_cost: 0.8924 data_cost: 0.1030 ips: 62.7519 images/s [03/17 22:09:52] ppdet.engine INFO: Epoch: [71] [200/523] learning_rate: 0.243109 loss_vfl: 1.335974 loss_bbox: 0.641054 loss_dfl: 0.491503 loss: 2.497845 eta: 1 day, 5:43:46 batch_cost: 0.8600 data_cost: 0.0154 ips: 65.1147 images/s [03/17 22:10:13] ppdet.engine INFO: Epoch: [71] [220/523] learning_rate: 0.243071 loss_vfl: 1.281066 loss_bbox: 0.629749 loss_dfl: 0.478351 loss: 2.437582 eta: 1 day, 5:43:30 batch_cost: 0.9258 data_cost: 0.0055 ips: 60.4875 images/s [03/17 22:10:35] ppdet.engine INFO: Epoch: [71] [240/523] learning_rate: 0.243033 loss_vfl: 1.298624 loss_bbox: 0.648338 loss_dfl: 0.477993 loss: 2.436223 eta: 1 day, 5:43:13 batch_cost: 0.9171 data_cost: 0.0031 ips: 61.0652 images/s [03/17 22:10:56] ppdet.engine INFO: Epoch: [71] [260/523] learning_rate: 0.242995 loss_vfl: 1.267283 loss_bbox: 0.608742 loss_dfl: 0.456733 loss: 2.345488 eta: 1 day, 5:42:58 batch_cost: 0.9416 data_cost: 0.0104 ips: 59.4745 images/s [03/17 22:11:17] ppdet.engine INFO: Epoch: [71] [280/523] learning_rate: 0.242957 loss_vfl: 1.269093 loss_bbox: 0.620945 loss_dfl: 0.462802 loss: 2.352362 eta: 1 day, 5:42:39 batch_cost: 0.8750 data_cost: 0.0153 ips: 63.9984 images/s [03/17 22:11:37] ppdet.engine INFO: Epoch: [71] [300/523] learning_rate: 0.242919 loss_vfl: 1.245496 loss_bbox: 0.610000 loss_dfl: 0.467876 loss: 2.349661 eta: 1 day, 5:42:18 batch_cost: 0.8505 data_cost: 0.0053 ips: 65.8463 images/s [03/17 22:11:59] ppdet.engine INFO: Epoch: [71] [320/523] learning_rate: 0.242880 loss_vfl: 1.327494 loss_bbox: 0.620838 loss_dfl: 0.464308 loss: 2.392308 eta: 1 day, 5:42:02 batch_cost: 0.9207 data_cost: 0.0072 ips: 60.8238 images/s [03/17 22:12:17] ppdet.engine INFO: Epoch: [71] [340/523] learning_rate: 0.242842 loss_vfl: 1.293894 loss_bbox: 0.614264 loss_dfl: 0.472981 loss: 2.396000 eta: 1 day, 5:41:32 batch_cost: 0.7061 data_cost: 0.0095 ips: 79.3051 images/s [03/17 22:12:35] ppdet.engine INFO: Epoch: [71] [360/523] learning_rate: 0.242804 loss_vfl: 1.320067 loss_bbox: 0.637097 loss_dfl: 0.488448 loss: 2.475041 eta: 1 day, 5:41:05 batch_cost: 0.7509 data_cost: 0.0038 ips: 74.5788 images/s [03/17 22:12:56] ppdet.engine INFO: Epoch: [71] [380/523] learning_rate: 0.242766 loss_vfl: 1.304386 loss_bbox: 0.609745 loss_dfl: 0.472072 loss: 2.386202 eta: 1 day, 5:40:47 batch_cost: 0.8901 data_cost: 0.0066 ips: 62.9140 images/s [03/17 22:13:15] ppdet.engine INFO: Epoch: [71] [400/523] learning_rate: 0.242728 loss_vfl: 1.310006 loss_bbox: 0.641238 loss_dfl: 0.479851 loss: 2.419574 eta: 1 day, 5:40:25 batch_cost: 0.8250 data_cost: 0.0057 ips: 67.8823 images/s [03/17 22:13:37] ppdet.engine INFO: Epoch: [71] [420/523] learning_rate: 0.242690 loss_vfl: 1.296340 loss_bbox: 0.639411 loss_dfl: 0.482267 loss: 2.416847 eta: 1 day, 5:40:10 batch_cost: 0.9448 data_cost: 0.0107 ips: 59.2731 images/s [03/17 22:13:59] ppdet.engine INFO: Epoch: [71] [440/523] learning_rate: 0.242652 loss_vfl: 1.378132 loss_bbox: 0.658566 loss_dfl: 0.496177 loss: 2.570379 eta: 1 day, 5:39:55 batch_cost: 0.9411 data_cost: 0.0034 ips: 59.5024 images/s [03/17 22:14:20] ppdet.engine INFO: Epoch: [71] [460/523] learning_rate: 0.242613 loss_vfl: 1.305533 loss_bbox: 0.619134 loss_dfl: 0.475047 loss: 2.405735 eta: 1 day, 5:39:40 batch_cost: 0.9467 data_cost: 0.0073 ips: 59.1518 images/s [03/17 22:14:39] ppdet.engine INFO: Epoch: [71] [480/523] learning_rate: 0.242575 loss_vfl: 1.279858 loss_bbox: 0.624479 loss_dfl: 0.470563 loss: 2.376863 eta: 1 day, 5:39:18 batch_cost: 0.8307 data_cost: 0.0025 ips: 67.4116 images/s [03/17 22:15:01] ppdet.engine INFO: Epoch: [71] [500/523] learning_rate: 0.242537 loss_vfl: 1.280700 loss_bbox: 0.602758 loss_dfl: 0.460008 loss: 2.325686 eta: 1 day, 5:38:58 batch_cost: 0.8624 data_cost: 0.0041 ips: 64.9370 images/s [03/17 22:15:18] ppdet.engine INFO: Epoch: [71] [520/523] learning_rate: 0.242499 loss_vfl: 1.360450 loss_bbox: 0.623294 loss_dfl: 0.481191 loss: 2.458081 eta: 1 day, 5:38:31 batch_cost: 0.7456 data_cost: 0.0023 ips: 75.1084 images/s [03/17 22:15:31] ppdet.engine INFO: Epoch: [72] [ 0/523] learning_rate: 0.242493 loss_vfl: 1.267488 loss_bbox: 0.622525 loss_dfl: 0.463702 loss: 2.338748 eta: 1 day, 5:38:57 batch_cost: 1.1836 data_cost: 0.4851 ips: 47.3115 images/s [03/17 22:15:52] ppdet.engine INFO: Epoch: [72] [ 20/523] learning_rate: 0.242455 loss_vfl: 1.309086 loss_bbox: 0.626761 loss_dfl: 0.481472 loss: 2.439050 eta: 1 day, 5:38:43 batch_cost: 0.9571 data_cost: 0.0062 ips: 58.5087 images/s [03/17 22:16:13] ppdet.engine INFO: Epoch: [72] [ 40/523] learning_rate: 0.242416 loss_vfl: 1.267480 loss_bbox: 0.596267 loss_dfl: 0.454254 loss: 2.337910 eta: 1 day, 5:38:24 batch_cost: 0.8863 data_cost: 0.0063 ips: 63.1851 images/s [03/17 22:16:35] ppdet.engine INFO: Epoch: [72] [ 60/523] learning_rate: 0.242378 loss_vfl: 1.328430 loss_bbox: 0.625233 loss_dfl: 0.482913 loss: 2.424346 eta: 1 day, 5:38:12 batch_cost: 0.9893 data_cost: 0.0027 ips: 56.6035 images/s [03/17 22:16:57] ppdet.engine INFO: Epoch: [72] [ 80/523] learning_rate: 0.242340 loss_vfl: 1.288307 loss_bbox: 0.636222 loss_dfl: 0.473198 loss: 2.425389 eta: 1 day, 5:38:01 batch_cost: 0.9988 data_cost: 0.0046 ips: 56.0699 images/s [03/17 22:17:15] ppdet.engine INFO: Epoch: [72] [100/523] learning_rate: 0.242301 loss_vfl: 1.257591 loss_bbox: 0.607373 loss_dfl: 0.467219 loss: 2.326405 eta: 1 day, 5:37:32 batch_cost: 0.7145 data_cost: 0.0036 ips: 78.3788 images/s [03/17 22:17:33] ppdet.engine INFO: Epoch: [72] [120/523] learning_rate: 0.242263 loss_vfl: 1.290288 loss_bbox: 0.606220 loss_dfl: 0.478102 loss: 2.379198 eta: 1 day, 5:37:05 batch_cost: 0.7588 data_cost: 0.0028 ips: 73.7989 images/s [03/17 22:17:53] ppdet.engine INFO: Epoch: [72] [140/523] learning_rate: 0.242225 loss_vfl: 1.400975 loss_bbox: 0.654175 loss_dfl: 0.501929 loss: 2.502410 eta: 1 day, 5:36:45 batch_cost: 0.8618 data_cost: 0.0032 ips: 64.9771 images/s [03/17 22:18:16] ppdet.engine INFO: Epoch: [72] [160/523] learning_rate: 0.242186 loss_vfl: 1.230712 loss_bbox: 0.587615 loss_dfl: 0.446578 loss: 2.233920 eta: 1 day, 5:36:35 batch_cost: 1.0105 data_cost: 0.0073 ips: 55.4189 images/s [03/17 22:18:37] ppdet.engine INFO: Epoch: [72] [180/523] learning_rate: 0.242148 loss_vfl: 1.325405 loss_bbox: 0.612121 loss_dfl: 0.477309 loss: 2.415004 eta: 1 day, 5:36:21 batch_cost: 0.9695 data_cost: 0.0123 ips: 57.7645 images/s [03/17 22:19:00] ppdet.engine INFO: Epoch: [72] [200/523] learning_rate: 0.242109 loss_vfl: 1.361197 loss_bbox: 0.664392 loss_dfl: 0.493657 loss: 2.521322 eta: 1 day, 5:36:14 batch_cost: 1.0576 data_cost: 0.0034 ips: 52.9515 images/s [03/17 22:19:22] ppdet.engine INFO: Epoch: [72] [220/523] learning_rate: 0.242071 loss_vfl: 1.331812 loss_bbox: 0.660571 loss_dfl: 0.478579 loss: 2.470966 eta: 1 day, 5:36:00 batch_cost: 0.9632 data_cost: 0.0035 ips: 58.1372 images/s [03/17 22:19:42] ppdet.engine INFO: Epoch: [72] [240/523] learning_rate: 0.242033 loss_vfl: 1.266967 loss_bbox: 0.585838 loss_dfl: 0.453395 loss: 2.292116 eta: 1 day, 5:35:43 batch_cost: 0.9070 data_cost: 0.0050 ips: 61.7395 images/s [03/17 22:20:05] ppdet.engine INFO: Epoch: [72] [260/523] learning_rate: 0.241994 loss_vfl: 1.245673 loss_bbox: 0.595680 loss_dfl: 0.460505 loss: 2.290921 eta: 1 day, 5:35:36 batch_cost: 1.0682 data_cost: 0.0069 ips: 52.4233 images/s [03/17 22:20:28] ppdet.engine INFO: Epoch: [72] [280/523] learning_rate: 0.241956 loss_vfl: 1.268526 loss_bbox: 0.611082 loss_dfl: 0.470282 loss: 2.342541 eta: 1 day, 5:35:27 batch_cost: 1.0373 data_cost: 0.0027 ips: 53.9872 images/s [03/17 22:20:46] ppdet.engine INFO: Epoch: [72] [300/523] learning_rate: 0.241917 loss_vfl: 1.289752 loss_bbox: 0.640042 loss_dfl: 0.473733 loss: 2.423728 eta: 1 day, 5:35:05 batch_cost: 0.8410 data_cost: 0.0079 ips: 66.5909 images/s [03/17 22:21:09] ppdet.engine INFO: Epoch: [72] [320/523] learning_rate: 0.241879 loss_vfl: 1.311939 loss_bbox: 0.626994 loss_dfl: 0.479628 loss: 2.439350 eta: 1 day, 5:34:57 batch_cost: 1.0523 data_cost: 0.0045 ips: 53.2190 images/s [03/17 22:21:32] ppdet.engine INFO: Epoch: [72] [340/523] learning_rate: 0.241840 loss_vfl: 1.249494 loss_bbox: 0.603410 loss_dfl: 0.450263 loss: 2.300769 eta: 1 day, 5:34:50 batch_cost: 1.0574 data_cost: 0.0026 ips: 52.9598 images/s [03/17 22:21:50] ppdet.engine INFO: Epoch: [72] [360/523] learning_rate: 0.241801 loss_vfl: 1.312962 loss_bbox: 0.620152 loss_dfl: 0.473512 loss: 2.401519 eta: 1 day, 5:34:25 batch_cost: 0.7837 data_cost: 0.0009 ips: 71.4585 images/s [03/17 22:22:08] ppdet.engine INFO: Epoch: [72] [380/523] learning_rate: 0.241763 loss_vfl: 1.294176 loss_bbox: 0.646010 loss_dfl: 0.480792 loss: 2.423965 eta: 1 day, 5:34:01 batch_cost: 0.8093 data_cost: 0.0027 ips: 69.1962 images/s [03/17 22:22:27] ppdet.engine INFO: Epoch: [72] [400/523] learning_rate: 0.241724 loss_vfl: 1.204272 loss_bbox: 0.577036 loss_dfl: 0.452240 loss: 2.219149 eta: 1 day, 5:33:40 batch_cost: 0.8465 data_cost: 0.0046 ips: 66.1540 images/s [03/17 22:22:47] ppdet.engine INFO: Epoch: [72] [420/523] learning_rate: 0.241686 loss_vfl: 1.307358 loss_bbox: 0.631621 loss_dfl: 0.480810 loss: 2.401443 eta: 1 day, 5:33:14 batch_cost: 0.7633 data_cost: 0.0025 ips: 73.3674 images/s [03/17 22:23:08] ppdet.engine INFO: Epoch: [72] [440/523] learning_rate: 0.241647 loss_vfl: 1.356033 loss_bbox: 0.649256 loss_dfl: 0.484593 loss: 2.526199 eta: 1 day, 5:32:55 batch_cost: 0.8725 data_cost: 0.0029 ips: 64.1802 images/s [03/17 22:23:31] ppdet.engine INFO: Epoch: [72] [460/523] learning_rate: 0.241608 loss_vfl: 1.285224 loss_bbox: 0.608382 loss_dfl: 0.465153 loss: 2.353030 eta: 1 day, 5:32:47 batch_cost: 1.0586 data_cost: 0.0054 ips: 52.9001 images/s [03/17 22:23:52] ppdet.engine INFO: Epoch: [72] [480/523] learning_rate: 0.241570 loss_vfl: 1.263602 loss_bbox: 0.611009 loss_dfl: 0.461475 loss: 2.311209 eta: 1 day, 5:32:29 batch_cost: 0.8948 data_cost: 0.0046 ips: 62.5866 images/s [03/17 22:24:14] ppdet.engine INFO: Epoch: [72] [500/523] learning_rate: 0.241531 loss_vfl: 1.198819 loss_bbox: 0.572827 loss_dfl: 0.429973 loss: 2.188548 eta: 1 day, 5:32:21 batch_cost: 1.0450 data_cost: 0.0012 ips: 53.5896 images/s [03/17 22:24:32] ppdet.engine INFO: Epoch: [72] [520/523] learning_rate: 0.241492 loss_vfl: 1.246580 loss_bbox: 0.623536 loss_dfl: 0.465844 loss: 2.331785 eta: 1 day, 5:31:58 batch_cost: 0.8229 data_cost: 0.0047 ips: 68.0506 images/s [03/17 22:24:43] ppdet.engine INFO: Epoch: [73] [ 0/523] learning_rate: 0.241487 loss_vfl: 1.226959 loss_bbox: 0.606183 loss_dfl: 0.443593 loss: 2.273395 eta: 1 day, 5:32:16 batch_cost: 1.1516 data_cost: 0.3122 ips: 48.6261 images/s [03/17 22:25:07] ppdet.engine INFO: Epoch: [73] [ 20/523] learning_rate: 0.241448 loss_vfl: 1.272460 loss_bbox: 0.629804 loss_dfl: 0.470819 loss: 2.392698 eta: 1 day, 5:32:05 batch_cost: 0.9987 data_cost: 0.0045 ips: 56.0716 images/s [03/17 22:25:28] ppdet.engine INFO: Epoch: [73] [ 40/523] learning_rate: 0.241409 loss_vfl: 1.206411 loss_bbox: 0.594018 loss_dfl: 0.461292 loss: 2.264361 eta: 1 day, 5:31:51 batch_cost: 0.9592 data_cost: 0.0017 ips: 58.3839 images/s [03/17 22:25:53] ppdet.engine INFO: Epoch: [73] [ 60/523] learning_rate: 0.241371 loss_vfl: 1.266599 loss_bbox: 0.639489 loss_dfl: 0.474522 loss: 2.373559 eta: 1 day, 5:31:48 batch_cost: 1.1371 data_cost: 0.0063 ips: 49.2462 images/s [03/17 22:26:14] ppdet.engine INFO: Epoch: [73] [ 80/523] learning_rate: 0.241332 loss_vfl: 1.345899 loss_bbox: 0.649367 loss_dfl: 0.501805 loss: 2.535949 eta: 1 day, 5:31:35 batch_cost: 0.9697 data_cost: 0.0118 ips: 57.7522 images/s [03/17 22:26:33] ppdet.engine INFO: Epoch: [73] [100/523] learning_rate: 0.241293 loss_vfl: 1.270865 loss_bbox: 0.613901 loss_dfl: 0.468200 loss: 2.366394 eta: 1 day, 5:31:13 batch_cost: 0.8350 data_cost: 0.0022 ips: 67.0631 images/s [03/17 22:26:52] ppdet.engine INFO: Epoch: [73] [120/523] learning_rate: 0.241254 loss_vfl: 1.209410 loss_bbox: 0.566746 loss_dfl: 0.444509 loss: 2.231025 eta: 1 day, 5:30:54 batch_cost: 0.8865 data_cost: 0.0083 ips: 63.1683 images/s [03/17 22:27:13] ppdet.engine INFO: Epoch: [73] [140/523] learning_rate: 0.241215 loss_vfl: 1.232967 loss_bbox: 0.599040 loss_dfl: 0.453974 loss: 2.309698 eta: 1 day, 5:30:39 batch_cost: 0.9274 data_cost: 0.0012 ips: 60.3849 images/s [03/17 22:27:34] ppdet.engine INFO: Epoch: [73] [160/523] learning_rate: 0.241177 loss_vfl: 1.341730 loss_bbox: 0.614190 loss_dfl: 0.466350 loss: 2.431886 eta: 1 day, 5:30:21 batch_cost: 0.9015 data_cost: 0.0018 ips: 62.1194 images/s [03/17 22:27:56] ppdet.engine INFO: Epoch: [73] [180/523] learning_rate: 0.241138 loss_vfl: 1.272191 loss_bbox: 0.610626 loss_dfl: 0.451918 loss: 2.330406 eta: 1 day, 5:30:11 batch_cost: 1.0323 data_cost: 0.0045 ips: 54.2470 images/s [03/17 22:28:18] ppdet.engine INFO: Epoch: [73] [200/523] learning_rate: 0.241099 loss_vfl: 1.311531 loss_bbox: 0.629834 loss_dfl: 0.478438 loss: 2.433168 eta: 1 day, 5:29:56 batch_cost: 0.9290 data_cost: 0.0034 ips: 60.2822 images/s [03/17 22:28:41] ppdet.engine INFO: Epoch: [73] [220/523] learning_rate: 0.241060 loss_vfl: 1.320524 loss_bbox: 0.619607 loss_dfl: 0.473150 loss: 2.446929 eta: 1 day, 5:29:46 batch_cost: 1.0372 data_cost: 0.0044 ips: 53.9940 images/s [03/17 22:29:01] ppdet.engine INFO: Epoch: [73] [240/523] learning_rate: 0.241021 loss_vfl: 1.312319 loss_bbox: 0.650866 loss_dfl: 0.493404 loss: 2.456439 eta: 1 day, 5:29:25 batch_cost: 0.8383 data_cost: 0.0017 ips: 66.8051 images/s [03/17 22:29:22] ppdet.engine INFO: Epoch: [73] [260/523] learning_rate: 0.240982 loss_vfl: 1.312886 loss_bbox: 0.615936 loss_dfl: 0.469473 loss: 2.418757 eta: 1 day, 5:29:11 batch_cost: 0.9540 data_cost: 0.0020 ips: 58.7023 images/s [03/17 22:29:44] ppdet.engine INFO: Epoch: [73] [280/523] learning_rate: 0.240943 loss_vfl: 1.325487 loss_bbox: 0.683905 loss_dfl: 0.508646 loss: 2.535005 eta: 1 day, 5:28:57 batch_cost: 0.9684 data_cost: 0.0036 ips: 57.8251 images/s [03/17 22:30:05] ppdet.engine INFO: Epoch: [73] [300/523] learning_rate: 0.240904 loss_vfl: 1.298492 loss_bbox: 0.645995 loss_dfl: 0.476412 loss: 2.415244 eta: 1 day, 5:28:44 batch_cost: 0.9797 data_cost: 0.0023 ips: 57.1594 images/s [03/17 22:30:27] ppdet.engine INFO: Epoch: [73] [320/523] learning_rate: 0.240865 loss_vfl: 1.270165 loss_bbox: 0.593488 loss_dfl: 0.461870 loss: 2.332575 eta: 1 day, 5:28:35 batch_cost: 1.0321 data_cost: 0.0052 ips: 54.2559 images/s [03/17 22:30:49] ppdet.engine INFO: Epoch: [73] [340/523] learning_rate: 0.240827 loss_vfl: 1.245702 loss_bbox: 0.591360 loss_dfl: 0.448625 loss: 2.265631 eta: 1 day, 5:28:21 batch_cost: 0.9707 data_cost: 0.0016 ips: 57.6878 images/s [03/17 22:31:10] ppdet.engine INFO: Epoch: [73] [360/523] learning_rate: 0.240788 loss_vfl: 1.313554 loss_bbox: 0.607532 loss_dfl: 0.479120 loss: 2.427203 eta: 1 day, 5:28:08 batch_cost: 0.9743 data_cost: 0.0018 ips: 57.4796 images/s [03/17 22:31:27] ppdet.engine INFO: Epoch: [73] [380/523] learning_rate: 0.240749 loss_vfl: 1.210233 loss_bbox: 0.568813 loss_dfl: 0.441642 loss: 2.230835 eta: 1 day, 5:27:41 batch_cost: 0.7372 data_cost: 0.0038 ips: 75.9625 images/s [03/17 22:31:46] ppdet.engine INFO: Epoch: [73] [400/523] learning_rate: 0.240710 loss_vfl: 1.369883 loss_bbox: 0.647911 loss_dfl: 0.504682 loss: 2.529640 eta: 1 day, 5:27:21 batch_cost: 0.8617 data_cost: 0.0037 ips: 64.9867 images/s [03/17 22:32:08] ppdet.engine INFO: Epoch: [73] [420/523] learning_rate: 0.240670 loss_vfl: 1.233434 loss_bbox: 0.607919 loss_dfl: 0.457332 loss: 2.297278 eta: 1 day, 5:27:09 batch_cost: 0.9991 data_cost: 0.0040 ips: 56.0489 images/s [03/17 22:32:29] ppdet.engine INFO: Epoch: [73] [440/523] learning_rate: 0.240631 loss_vfl: 1.336080 loss_bbox: 0.622342 loss_dfl: 0.475767 loss: 2.439196 eta: 1 day, 5:26:53 batch_cost: 0.9213 data_cost: 0.0027 ips: 60.7867 images/s [03/17 22:32:51] ppdet.engine INFO: Epoch: [73] [460/523] learning_rate: 0.240592 loss_vfl: 1.284301 loss_bbox: 0.610028 loss_dfl: 0.461571 loss: 2.379860 eta: 1 day, 5:26:39 batch_cost: 0.9690 data_cost: 0.0028 ips: 57.7900 images/s [03/17 22:33:12] ppdet.engine INFO: Epoch: [73] [480/523] learning_rate: 0.240553 loss_vfl: 1.315498 loss_bbox: 0.617267 loss_dfl: 0.477966 loss: 2.404255 eta: 1 day, 5:26:23 batch_cost: 0.9314 data_cost: 0.0023 ips: 60.1246 images/s [03/17 22:33:34] ppdet.engine INFO: Epoch: [73] [500/523] learning_rate: 0.240514 loss_vfl: 1.316093 loss_bbox: 0.633195 loss_dfl: 0.468558 loss: 2.433048 eta: 1 day, 5:26:12 batch_cost: 1.0036 data_cost: 0.0021 ips: 55.7966 images/s [03/17 22:33:51] ppdet.engine INFO: Epoch: [73] [520/523] learning_rate: 0.240475 loss_vfl: 1.270515 loss_bbox: 0.603092 loss_dfl: 0.459501 loss: 2.350811 eta: 1 day, 5:25:49 batch_cost: 0.8219 data_cost: 0.0014 ips: 68.1387 images/s [03/17 22:34:04] ppdet.engine INFO: Epoch: [74] [ 0/523] learning_rate: 0.240469 loss_vfl: 1.270515 loss_bbox: 0.613133 loss_dfl: 0.462603 loss: 2.350811 eta: 1 day, 5:26:12 batch_cost: 1.2567 data_cost: 0.4702 ips: 44.5602 images/s [03/17 22:34:25] ppdet.engine INFO: Epoch: [74] [ 20/523] learning_rate: 0.240430 loss_vfl: 1.232302 loss_bbox: 0.599170 loss_dfl: 0.454903 loss: 2.312817 eta: 1 day, 5:25:56 batch_cost: 0.9216 data_cost: 0.0081 ips: 60.7658 images/s [03/17 22:34:46] ppdet.engine INFO: Epoch: [74] [ 40/523] learning_rate: 0.240391 loss_vfl: 1.281965 loss_bbox: 0.590820 loss_dfl: 0.453436 loss: 2.333135 eta: 1 day, 5:25:39 batch_cost: 0.9138 data_cost: 0.0035 ips: 61.2853 images/s [03/17 22:35:06] ppdet.engine INFO: Epoch: [74] [ 60/523] learning_rate: 0.240352 loss_vfl: 1.261383 loss_bbox: 0.585168 loss_dfl: 0.455766 loss: 2.334737 eta: 1 day, 5:25:11 batch_cost: 0.7319 data_cost: 0.0036 ips: 76.5122 images/s [03/17 22:35:29] ppdet.engine INFO: Epoch: [74] [ 80/523] learning_rate: 0.240313 loss_vfl: 1.249810 loss_bbox: 0.593799 loss_dfl: 0.447535 loss: 2.279201 eta: 1 day, 5:24:59 batch_cost: 0.9873 data_cost: 0.0383 ips: 56.7191 images/s [03/17 22:35:51] ppdet.engine INFO: Epoch: [74] [100/523] learning_rate: 0.240273 loss_vfl: 1.287950 loss_bbox: 0.614566 loss_dfl: 0.482741 loss: 2.380602 eta: 1 day, 5:24:47 batch_cost: 0.9973 data_cost: 0.0046 ips: 56.1541 images/s [03/17 22:36:09] ppdet.engine INFO: Epoch: [74] [120/523] learning_rate: 0.240234 loss_vfl: 1.302679 loss_bbox: 0.615568 loss_dfl: 0.465664 loss: 2.358847 eta: 1 day, 5:24:21 batch_cost: 0.7653 data_cost: 0.0019 ips: 73.1781 images/s [03/17 22:36:26] ppdet.engine INFO: Epoch: [74] [140/523] learning_rate: 0.240195 loss_vfl: 1.240376 loss_bbox: 0.591094 loss_dfl: 0.445868 loss: 2.268164 eta: 1 day, 5:23:51 batch_cost: 0.6975 data_cost: 0.0010 ips: 80.2888 images/s [03/17 22:36:45] ppdet.engine INFO: Epoch: [74] [160/523] learning_rate: 0.240156 loss_vfl: 1.354358 loss_bbox: 0.645188 loss_dfl: 0.490497 loss: 2.468015 eta: 1 day, 5:23:29 batch_cost: 0.8297 data_cost: 0.0044 ips: 67.4951 images/s [03/17 22:37:08] ppdet.engine INFO: Epoch: [74] [180/523] learning_rate: 0.240117 loss_vfl: 1.281622 loss_bbox: 0.618285 loss_dfl: 0.459618 loss: 2.382619 eta: 1 day, 5:23:19 batch_cost: 1.0316 data_cost: 0.1854 ips: 54.2828 images/s [03/17 22:37:29] ppdet.engine INFO: Epoch: [74] [200/523] learning_rate: 0.240077 loss_vfl: 1.238879 loss_bbox: 0.596182 loss_dfl: 0.458141 loss: 2.303352 eta: 1 day, 5:22:57 batch_cost: 0.8295 data_cost: 0.0865 ips: 67.5068 images/s [03/17 22:37:50] ppdet.engine INFO: Epoch: [74] [220/523] learning_rate: 0.240038 loss_vfl: 1.326982 loss_bbox: 0.632161 loss_dfl: 0.484618 loss: 2.463555 eta: 1 day, 5:22:38 batch_cost: 0.8727 data_cost: 0.0064 ips: 64.1658 images/s [03/17 22:38:10] ppdet.engine INFO: Epoch: [74] [240/523] learning_rate: 0.239999 loss_vfl: 1.309837 loss_bbox: 0.611483 loss_dfl: 0.475589 loss: 2.421808 eta: 1 day, 5:22:11 batch_cost: 0.7441 data_cost: 0.0082 ips: 75.2609 images/s [03/17 22:38:32] ppdet.engine INFO: Epoch: [74] [260/523] learning_rate: 0.239959 loss_vfl: 1.194913 loss_bbox: 0.574781 loss_dfl: 0.440014 loss: 2.190680 eta: 1 day, 5:21:59 batch_cost: 1.0004 data_cost: 0.2053 ips: 55.9789 images/s [03/17 22:38:54] ppdet.engine INFO: Epoch: [74] [280/523] learning_rate: 0.239920 loss_vfl: 1.257325 loss_bbox: 0.597381 loss_dfl: 0.453170 loss: 2.335448 eta: 1 day, 5:21:42 batch_cost: 0.9066 data_cost: 0.1465 ips: 61.7721 images/s [03/17 22:39:15] ppdet.engine INFO: Epoch: [74] 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0.631360 loss_dfl: 0.484696 loss: 2.453083 eta: 1 day, 5:20:18 batch_cost: 0.8332 data_cost: 0.1344 ips: 67.2075 images/s [03/17 22:40:59] ppdet.engine INFO: Epoch: [74] [400/523] learning_rate: 0.239684 loss_vfl: 1.223150 loss_bbox: 0.589109 loss_dfl: 0.455270 loss: 2.259559 eta: 1 day, 5:19:54 batch_cost: 0.7953 data_cost: 0.0922 ips: 70.4112 images/s [03/17 22:41:16] ppdet.engine INFO: Epoch: [74] [420/523] learning_rate: 0.239644 loss_vfl: 1.277136 loss_bbox: 0.587154 loss_dfl: 0.452749 loss: 2.332253 eta: 1 day, 5:19:26 batch_cost: 0.7236 data_cost: 0.0147 ips: 77.3892 images/s [03/17 22:41:35] ppdet.engine INFO: Epoch: [74] [440/523] learning_rate: 0.239605 loss_vfl: 1.255148 loss_bbox: 0.571234 loss_dfl: 0.440507 loss: 2.296656 eta: 1 day, 5:19:01 batch_cost: 0.7804 data_cost: 0.0094 ips: 71.7564 images/s [03/17 22:41:55] ppdet.engine INFO: Epoch: [74] [460/523] learning_rate: 0.239565 loss_vfl: 1.307687 loss_bbox: 0.642656 loss_dfl: 0.479518 loss: 2.433095 eta: 1 day, 5:18:44 batch_cost: 0.9243 data_cost: 0.0467 ips: 60.5859 images/s [03/17 22:42:17] ppdet.engine INFO: Epoch: [74] [480/523] learning_rate: 0.239526 loss_vfl: 1.285083 loss_bbox: 0.616761 loss_dfl: 0.471231 loss: 2.359355 eta: 1 day, 5:18:28 batch_cost: 0.9213 data_cost: 0.0757 ips: 60.7836 images/s [03/17 22:42:37] ppdet.engine INFO: Epoch: [74] [500/523] learning_rate: 0.239486 loss_vfl: 1.245977 loss_bbox: 0.620261 loss_dfl: 0.465048 loss: 2.339632 eta: 1 day, 5:18:07 batch_cost: 0.8499 data_cost: 0.0953 ips: 65.8892 images/s [03/17 22:42:56] ppdet.engine INFO: Epoch: [74] [520/523] learning_rate: 0.239447 loss_vfl: 1.333215 loss_bbox: 0.629283 loss_dfl: 0.490633 loss: 2.499691 eta: 1 day, 5:17:45 batch_cost: 0.8206 data_cost: 0.0829 ips: 68.2449 images/s [03/17 22:43:10] ppdet.engine INFO: Epoch: [75] [ 0/523] learning_rate: 0.239441 loss_vfl: 1.308763 loss_bbox: 0.612740 loss_dfl: 0.471290 loss: 2.379105 eta: 1 day, 5:18:14 batch_cost: 1.2999 data_cost: 0.5592 ips: 43.0799 images/s [03/17 22:43:32] ppdet.engine INFO: Epoch: [75] [ 20/523] learning_rate: 0.239401 loss_vfl: 1.225332 loss_bbox: 0.571855 loss_dfl: 0.447314 loss: 2.247743 eta: 1 day, 5:17:58 batch_cost: 0.9330 data_cost: 0.0017 ips: 60.0219 images/s [03/17 22:43:52] ppdet.engine INFO: Epoch: [75] [ 40/523] learning_rate: 0.239362 loss_vfl: 1.239354 loss_bbox: 0.571623 loss_dfl: 0.445248 loss: 2.274352 eta: 1 day, 5:17:36 batch_cost: 0.8377 data_cost: 0.0053 ips: 66.8460 images/s [03/17 22:44:13] ppdet.engine INFO: Epoch: [75] [ 60/523] learning_rate: 0.239322 loss_vfl: 1.243365 loss_bbox: 0.587435 loss_dfl: 0.450878 loss: 2.300845 eta: 1 day, 5:17:16 batch_cost: 0.8559 data_cost: 0.0079 ips: 65.4281 images/s [03/17 22:44:34] ppdet.engine INFO: Epoch: [75] [ 80/523] learning_rate: 0.239282 loss_vfl: 1.340367 loss_bbox: 0.636314 loss_dfl: 0.483565 loss: 2.427801 eta: 1 day, 5:17:00 batch_cost: 0.9217 data_cost: 0.0108 ips: 60.7598 images/s [03/17 22:44:54] ppdet.engine INFO: Epoch: [75] [100/523] learning_rate: 0.239243 loss_vfl: 1.261677 loss_bbox: 0.598380 loss_dfl: 0.445845 loss: 2.306120 eta: 1 day, 5:16:38 batch_cost: 0.8356 data_cost: 0.0188 ips: 67.0165 images/s [03/17 22:45:17] ppdet.engine INFO: Epoch: [75] [120/523] learning_rate: 0.239203 loss_vfl: 1.226391 loss_bbox: 0.576449 loss_dfl: 0.446301 loss: 2.266601 eta: 1 day, 5:16:26 batch_cost: 0.9905 data_cost: 0.0138 ips: 56.5357 images/s [03/17 22:45:37] ppdet.engine INFO: Epoch: [75] [140/523] learning_rate: 0.239164 loss_vfl: 1.298487 loss_bbox: 0.618357 loss_dfl: 0.479902 loss: 2.445144 eta: 1 day, 5:16:06 batch_cost: 0.8689 data_cost: 0.0031 ips: 64.4470 images/s [03/17 22:45:54] ppdet.engine INFO: Epoch: [75] [160/523] learning_rate: 0.239124 loss_vfl: 1.336830 loss_bbox: 0.639676 loss_dfl: 0.474765 loss: 2.425179 eta: 1 day, 5:15:38 batch_cost: 0.7171 data_cost: 0.0052 ips: 78.0970 images/s [03/17 22:46:12] ppdet.engine INFO: Epoch: [75] [180/523] learning_rate: 0.239084 loss_vfl: 1.269161 loss_bbox: 0.609401 loss_dfl: 0.470468 loss: 2.370301 eta: 1 day, 5:15:12 batch_cost: 0.7646 data_cost: 0.0058 ips: 73.2444 images/s [03/17 22:46:33] ppdet.engine INFO: Epoch: [75] [200/523] learning_rate: 0.239045 loss_vfl: 1.263232 loss_bbox: 0.622377 loss_dfl: 0.462270 loss: 2.342658 eta: 1 day, 5:14:58 batch_cost: 0.9718 data_cost: 0.0019 ips: 57.6271 images/s [03/17 22:46:53] ppdet.engine INFO: Epoch: [75] [220/523] learning_rate: 0.239005 loss_vfl: 1.316889 loss_bbox: 0.624858 loss_dfl: 0.473715 loss: 2.398411 eta: 1 day, 5:14:38 batch_cost: 0.8496 data_cost: 0.0167 ips: 65.9160 images/s [03/17 22:47:13] ppdet.engine INFO: Epoch: [75] [240/523] learning_rate: 0.238965 loss_vfl: 1.229507 loss_bbox: 0.586574 loss_dfl: 0.454535 loss: 2.266686 eta: 1 day, 5:14:18 batch_cost: 0.8691 data_cost: 0.0051 ips: 64.4352 images/s [03/17 22:47:34] ppdet.engine INFO: Epoch: [75] [260/523] learning_rate: 0.238925 loss_vfl: 1.299545 loss_bbox: 0.628119 loss_dfl: 0.478956 loss: 2.423443 eta: 1 day, 5:14:03 batch_cost: 0.9408 data_cost: 0.0119 ips: 59.5218 images/s [03/17 22:47:55] ppdet.engine INFO: Epoch: [75] [280/523] learning_rate: 0.238886 loss_vfl: 1.242140 loss_bbox: 0.584264 loss_dfl: 0.440547 loss: 2.272950 eta: 1 day, 5:13:46 batch_cost: 0.9069 data_cost: 0.0054 ips: 61.7462 images/s [03/17 22:48:17] ppdet.engine INFO: Epoch: [75] [300/523] learning_rate: 0.238846 loss_vfl: 1.184225 loss_bbox: 0.580523 loss_dfl: 0.427893 loss: 2.190916 eta: 1 day, 5:13:34 batch_cost: 1.0113 data_cost: 0.0049 ips: 55.3754 images/s [03/17 22:48:37] ppdet.engine INFO: Epoch: [75] [320/523] learning_rate: 0.238806 loss_vfl: 1.357900 loss_bbox: 0.649627 loss_dfl: 0.485003 loss: 2.465416 eta: 1 day, 5:13:17 batch_cost: 0.9066 data_cost: 0.0040 ips: 61.7720 images/s [03/17 22:48:57] ppdet.engine INFO: Epoch: [75] [340/523] learning_rate: 0.238766 loss_vfl: 1.302858 loss_bbox: 0.637148 loss_dfl: 0.462640 loss: 2.371758 eta: 1 day, 5:12:58 batch_cost: 0.8786 data_cost: 0.0050 ips: 63.7408 images/s [03/17 22:49:18] ppdet.engine INFO: Epoch: [75] [360/523] learning_rate: 0.238726 loss_vfl: 1.281120 loss_bbox: 0.610373 loss_dfl: 0.463798 loss: 2.333857 eta: 1 day, 5:12:42 batch_cost: 0.9188 data_cost: 0.0056 ips: 60.9513 images/s [03/17 22:49:41] ppdet.engine INFO: Epoch: [75] [380/523] learning_rate: 0.238687 loss_vfl: 1.284379 loss_bbox: 0.615767 loss_dfl: 0.469424 loss: 2.353185 eta: 1 day, 5:12:30 batch_cost: 1.0026 data_cost: 0.0019 ips: 55.8522 images/s [03/17 22:50:00] ppdet.engine INFO: Epoch: [75] [400/523] learning_rate: 0.238647 loss_vfl: 1.299514 loss_bbox: 0.601728 loss_dfl: 0.475016 loss: 2.402527 eta: 1 day, 5:12:05 batch_cost: 0.7830 data_cost: 0.0042 ips: 71.5187 images/s [03/17 22:50:23] ppdet.engine INFO: Epoch: [75] [420/523] learning_rate: 0.238607 loss_vfl: 1.261740 loss_bbox: 0.597250 loss_dfl: 0.467516 loss: 2.336202 eta: 1 day, 5:11:53 batch_cost: 0.9897 data_cost: 0.0107 ips: 56.5838 images/s [03/17 22:50:41] ppdet.engine INFO: Epoch: [75] [440/523] learning_rate: 0.238567 loss_vfl: 1.263540 loss_bbox: 0.595101 loss_dfl: 0.467381 loss: 2.321157 eta: 1 day, 5:11:26 batch_cost: 0.7458 data_cost: 0.0047 ips: 75.0828 images/s [03/17 22:50:58] ppdet.engine INFO: Epoch: [75] [460/523] learning_rate: 0.238527 loss_vfl: 1.297693 loss_bbox: 0.629626 loss_dfl: 0.479864 loss: 2.390796 eta: 1 day, 5:10:58 batch_cost: 0.7181 data_cost: 0.0025 ips: 77.9862 images/s [03/17 22:51:16] ppdet.engine INFO: Epoch: [75] [480/523] learning_rate: 0.238487 loss_vfl: 1.282462 loss_bbox: 0.611814 loss_dfl: 0.480159 loss: 2.372694 eta: 1 day, 5:10:35 batch_cost: 0.8231 data_cost: 0.0055 ips: 68.0373 images/s [03/17 22:51:37] ppdet.engine INFO: Epoch: [75] [500/523] learning_rate: 0.238447 loss_vfl: 1.265822 loss_bbox: 0.634665 loss_dfl: 0.466805 loss: 2.367172 eta: 1 day, 5:10:20 batch_cost: 0.9476 data_cost: 0.0075 ips: 59.0943 images/s [03/17 22:51:56] ppdet.engine INFO: Epoch: [75] [520/523] learning_rate: 0.238407 loss_vfl: 1.271368 loss_bbox: 0.593530 loss_dfl: 0.465337 loss: 2.351769 eta: 1 day, 5:09:59 batch_cost: 0.8298 data_cost: 0.0041 ips: 67.4843 images/s [03/17 22:52:10] ppdet.engine INFO: Epoch: [76] [ 0/523] learning_rate: 0.238401 loss_vfl: 1.261963 loss_bbox: 0.603656 loss_dfl: 0.458971 loss: 2.336797 eta: 1 day, 5:10:25 batch_cost: 1.3475 data_cost: 0.3111 ips: 41.5596 images/s [03/17 22:52:32] ppdet.engine INFO: Epoch: [76] [ 20/523] learning_rate: 0.238361 loss_vfl: 1.329439 loss_bbox: 0.651516 loss_dfl: 0.484482 loss: 2.470672 eta: 1 day, 5:10:13 batch_cost: 0.9874 data_cost: 0.0019 ips: 56.7152 images/s [03/17 22:52:56] ppdet.engine INFO: Epoch: [76] [ 40/523] learning_rate: 0.238321 loss_vfl: 1.252133 loss_bbox: 0.592076 loss_dfl: 0.449545 loss: 2.285689 eta: 1 day, 5:10:09 batch_cost: 1.1378 data_cost: 0.0023 ips: 49.2157 images/s [03/17 22:53:19] ppdet.engine INFO: Epoch: [76] [ 60/523] learning_rate: 0.238281 loss_vfl: 1.240464 loss_bbox: 0.592443 loss_dfl: 0.455800 loss: 2.300511 eta: 1 day, 5:10:03 batch_cost: 1.0907 data_cost: 0.0032 ips: 51.3427 images/s [03/17 22:53:42] ppdet.engine INFO: Epoch: [76] [ 80/523] learning_rate: 0.238241 loss_vfl: 1.304220 loss_bbox: 0.608556 loss_dfl: 0.483475 loss: 2.462008 eta: 1 day, 5:09:50 batch_cost: 0.9951 data_cost: 0.0004 ips: 56.2731 images/s [03/17 22:54:03] ppdet.engine INFO: Epoch: [76] [100/523] learning_rate: 0.238201 loss_vfl: 1.331007 loss_bbox: 0.662082 loss_dfl: 0.493678 loss: 2.463144 eta: 1 day, 5:09:39 batch_cost: 1.0131 data_cost: 0.0003 ips: 55.2778 images/s [03/17 22:54:28] ppdet.engine INFO: Epoch: [76] [120/523] learning_rate: 0.238161 loss_vfl: 1.327504 loss_bbox: 0.654708 loss_dfl: 0.487919 loss: 2.490822 eta: 1 day, 5:09:38 batch_cost: 1.1855 data_cost: 0.0003 ips: 47.2368 images/s [03/17 22:54:52] ppdet.engine INFO: Epoch: [76] [140/523] learning_rate: 0.238121 loss_vfl: 1.314935 loss_bbox: 0.658274 loss_dfl: 0.480686 loss: 2.454235 eta: 1 day, 5:09:32 batch_cost: 1.1000 data_cost: 0.0023 ips: 50.9097 images/s [03/17 22:55:13] ppdet.engine INFO: Epoch: [76] [160/523] learning_rate: 0.238081 loss_vfl: 1.289266 loss_bbox: 0.618374 loss_dfl: 0.464352 loss: 2.387241 eta: 1 day, 5:09:17 batch_cost: 0.9387 data_cost: 0.0015 ips: 59.6547 images/s [03/17 22:55:30] ppdet.engine INFO: Epoch: [76] [180/523] learning_rate: 0.238041 loss_vfl: 1.256225 loss_bbox: 0.615864 loss_dfl: 0.468970 loss: 2.323011 eta: 1 day, 5:08:51 batch_cost: 0.7649 data_cost: 0.0002 ips: 73.2140 images/s [03/17 22:55:50] ppdet.engine INFO: Epoch: [76] [200/523] learning_rate: 0.238001 loss_vfl: 1.260048 loss_bbox: 0.617127 loss_dfl: 0.458896 loss: 2.341528 eta: 1 day, 5:08:35 batch_cost: 0.9288 data_cost: 0.0007 ips: 60.2926 images/s [03/17 22:56:12] ppdet.engine INFO: Epoch: [76] [220/523] learning_rate: 0.237961 loss_vfl: 1.259978 loss_bbox: 0.601117 loss_dfl: 0.463868 loss: 2.336180 eta: 1 day, 5:08:24 batch_cost: 1.0114 data_cost: 0.0042 ips: 55.3690 images/s [03/17 22:56:34] ppdet.engine INFO: Epoch: [76] [240/523] learning_rate: 0.237921 loss_vfl: 1.316581 loss_bbox: 0.624290 loss_dfl: 0.465401 loss: 2.406633 eta: 1 day, 5:08:14 batch_cost: 1.0435 data_cost: 0.0061 ips: 53.6673 images/s [03/17 22:56:58] ppdet.engine INFO: Epoch: [76] [260/523] learning_rate: 0.237881 loss_vfl: 1.268972 loss_bbox: 0.612288 loss_dfl: 0.471957 loss: 2.398419 eta: 1 day, 5:08:07 batch_cost: 1.0820 data_cost: 0.0003 ips: 51.7574 images/s [03/17 22:57:20] ppdet.engine INFO: Epoch: [76] [280/523] learning_rate: 0.237840 loss_vfl: 1.294633 loss_bbox: 0.636394 loss_dfl: 0.479559 loss: 2.427472 eta: 1 day, 5:07:55 batch_cost: 0.9886 data_cost: 0.0034 ips: 56.6431 images/s [03/17 22:57:43] ppdet.engine INFO: Epoch: [76] [300/523] learning_rate: 0.237800 loss_vfl: 1.279969 loss_bbox: 0.591062 loss_dfl: 0.458845 loss: 2.344061 eta: 1 day, 5:07:47 batch_cost: 1.0723 data_cost: 0.0018 ips: 52.2238 images/s [03/17 22:58:04] ppdet.engine INFO: Epoch: [76] [320/523] learning_rate: 0.237760 loss_vfl: 1.286701 loss_bbox: 0.597646 loss_dfl: 0.479194 loss: 2.414520 eta: 1 day, 5:07:31 batch_cost: 0.9340 data_cost: 0.0004 ips: 59.9561 images/s [03/17 22:58:28] ppdet.engine INFO: Epoch: [76] [340/523] learning_rate: 0.237720 loss_vfl: 1.202810 loss_bbox: 0.554480 loss_dfl: 0.425364 loss: 2.211206 eta: 1 day, 5:07:25 batch_cost: 1.0943 data_cost: 0.0042 ips: 51.1747 images/s [03/17 22:58:50] ppdet.engine INFO: Epoch: [76] [360/523] learning_rate: 0.237680 loss_vfl: 1.297340 loss_bbox: 0.620863 loss_dfl: 0.482351 loss: 2.372935 eta: 1 day, 5:07:15 batch_cost: 1.0353 data_cost: 0.0031 ips: 54.0918 images/s [03/17 22:59:12] ppdet.engine INFO: Epoch: [76] [380/523] learning_rate: 0.237639 loss_vfl: 1.310371 loss_bbox: 0.624068 loss_dfl: 0.477733 loss: 2.414704 eta: 1 day, 5:07:03 batch_cost: 1.0103 data_cost: 0.0046 ips: 55.4311 images/s [03/17 22:59:34] ppdet.engine INFO: Epoch: [76] [400/523] learning_rate: 0.237599 loss_vfl: 1.260224 loss_bbox: 0.619507 loss_dfl: 0.467049 loss: 2.336244 eta: 1 day, 5:06:53 batch_cost: 1.0267 data_cost: 0.0060 ips: 54.5416 images/s [03/17 22:59:54] ppdet.engine INFO: Epoch: [76] [420/523] learning_rate: 0.237559 loss_vfl: 1.310217 loss_bbox: 0.633294 loss_dfl: 0.468689 loss: 2.413340 eta: 1 day, 5:06:34 batch_cost: 0.8856 data_cost: 0.0034 ips: 63.2341 images/s [03/17 23:00:11] ppdet.engine INFO: Epoch: [76] [440/523] learning_rate: 0.237519 loss_vfl: 1.286886 loss_bbox: 0.640488 loss_dfl: 0.478266 loss: 2.412325 eta: 1 day, 5:06:11 batch_cost: 0.8007 data_cost: 0.0036 ips: 69.9414 images/s [03/17 23:00:32] ppdet.engine INFO: Epoch: [76] [460/523] learning_rate: 0.237478 loss_vfl: 1.272795 loss_bbox: 0.606209 loss_dfl: 0.463318 loss: 2.367810 eta: 1 day, 5:05:54 batch_cost: 0.9277 data_cost: 0.0049 ips: 60.3624 images/s [03/17 23:00:53] ppdet.engine INFO: Epoch: [76] [480/523] learning_rate: 0.237438 loss_vfl: 1.205991 loss_bbox: 0.584142 loss_dfl: 0.445694 loss: 2.227582 eta: 1 day, 5:05:40 batch_cost: 0.9599 data_cost: 0.0033 ips: 58.3387 images/s [03/17 23:01:17] ppdet.engine INFO: Epoch: [76] [500/523] learning_rate: 0.237398 loss_vfl: 1.244856 loss_bbox: 0.584440 loss_dfl: 0.461619 loss: 2.304293 eta: 1 day, 5:05:34 batch_cost: 1.1066 data_cost: 0.0022 ips: 50.6042 images/s [03/17 23:01:35] ppdet.engine INFO: Epoch: [76] [520/523] learning_rate: 0.237357 loss_vfl: 1.243648 loss_bbox: 0.588717 loss_dfl: 0.450845 loss: 2.298936 eta: 1 day, 5:05:11 batch_cost: 0.8090 data_cost: 0.0030 ips: 69.2193 images/s [03/17 23:01:44] ppdet.engine INFO: Epoch: [77] [ 0/523] learning_rate: 0.237351 loss_vfl: 1.277877 loss_bbox: 0.603072 loss_dfl: 0.454817 loss: 2.311366 eta: 1 day, 5:05:24 batch_cost: 1.0603 data_cost: 0.2941 ips: 52.8174 images/s [03/17 23:02:08] ppdet.engine INFO: Epoch: [77] [ 20/523] learning_rate: 0.237311 loss_vfl: 1.233963 loss_bbox: 0.570506 loss_dfl: 0.456308 loss: 2.238200 eta: 1 day, 5:05:15 batch_cost: 1.0516 data_cost: 0.1248 ips: 53.2516 images/s [03/17 23:02:29] ppdet.engine INFO: Epoch: [77] [ 40/523] learning_rate: 0.237270 loss_vfl: 1.274402 loss_bbox: 0.615390 loss_dfl: 0.472354 loss: 2.344369 eta: 1 day, 5:04:56 batch_cost: 0.8760 data_cost: 0.0059 ips: 63.9286 images/s [03/17 23:02:51] ppdet.engine INFO: Epoch: [77] [ 60/523] learning_rate: 0.237230 loss_vfl: 1.291013 loss_bbox: 0.623671 loss_dfl: 0.477258 loss: 2.391088 eta: 1 day, 5:04:44 batch_cost: 1.0039 data_cost: 0.0049 ips: 55.7819 images/s [03/17 23:03:14] ppdet.engine INFO: Epoch: [77] [ 80/523] learning_rate: 0.237190 loss_vfl: 1.310733 loss_bbox: 0.627449 loss_dfl: 0.488192 loss: 2.436299 eta: 1 day, 5:04:31 batch_cost: 0.9928 data_cost: 0.0022 ips: 56.4086 images/s [03/17 23:03:34] ppdet.engine INFO: Epoch: [77] [100/523] learning_rate: 0.237149 loss_vfl: 1.330872 loss_bbox: 0.633295 loss_dfl: 0.480589 loss: 2.436671 eta: 1 day, 5:04:14 batch_cost: 0.9116 data_cost: 0.0034 ips: 61.4316 images/s [03/17 23:03:54] ppdet.engine INFO: Epoch: [77] [120/523] learning_rate: 0.237109 loss_vfl: 1.315684 loss_bbox: 0.643540 loss_dfl: 0.486559 loss: 2.427131 eta: 1 day, 5:03:54 batch_cost: 0.8595 data_cost: 0.0077 ips: 65.1516 images/s [03/17 23:04:15] ppdet.engine INFO: Epoch: [77] [140/523] learning_rate: 0.237068 loss_vfl: 1.274261 loss_bbox: 0.606859 loss_dfl: 0.458468 loss: 2.303676 eta: 1 day, 5:03:37 batch_cost: 0.9166 data_cost: 0.0045 ips: 61.0922 images/s [03/17 23:04:35] ppdet.engine INFO: Epoch: [77] [160/523] learning_rate: 0.237028 loss_vfl: 1.245958 loss_bbox: 0.620474 loss_dfl: 0.463972 loss: 2.323960 eta: 1 day, 5:03:14 batch_cost: 0.8105 data_cost: 0.0011 ips: 69.0904 images/s [03/17 23:04:52] ppdet.engine INFO: Epoch: [77] [180/523] learning_rate: 0.236987 loss_vfl: 1.291414 loss_bbox: 0.589402 loss_dfl: 0.470949 loss: 2.385127 eta: 1 day, 5:02:50 batch_cost: 0.7973 data_cost: 0.0038 ips: 70.2364 images/s [03/17 23:05:13] ppdet.engine INFO: Epoch: [77] [200/523] learning_rate: 0.236947 loss_vfl: 1.308154 loss_bbox: 0.628722 loss_dfl: 0.481092 loss: 2.390743 eta: 1 day, 5:02:34 batch_cost: 0.9205 data_cost: 0.0029 ips: 60.8349 images/s [03/17 23:05:35] ppdet.engine INFO: Epoch: [77] [220/523] learning_rate: 0.236906 loss_vfl: 1.201978 loss_bbox: 0.579000 loss_dfl: 0.430952 loss: 2.219659 eta: 1 day, 5:02:20 batch_cost: 0.9683 data_cost: 0.0009 ips: 57.8346 images/s [03/17 23:05:55] ppdet.engine INFO: Epoch: [77] [240/523] learning_rate: 0.236866 loss_vfl: 1.247148 loss_bbox: 0.603819 loss_dfl: 0.470159 loss: 2.305611 eta: 1 day, 5:02:01 batch_cost: 0.8826 data_cost: 0.0182 ips: 63.4515 images/s [03/17 23:06:18] ppdet.engine INFO: Epoch: [77] [260/523] learning_rate: 0.236825 loss_vfl: 1.218007 loss_bbox: 0.579190 loss_dfl: 0.452513 loss: 2.233836 eta: 1 day, 5:01:51 batch_cost: 1.0363 data_cost: 0.0061 ips: 54.0381 images/s [03/17 23:06:39] ppdet.engine INFO: Epoch: [77] [280/523] learning_rate: 0.236784 loss_vfl: 1.305240 loss_bbox: 0.612805 loss_dfl: 0.459345 loss: 2.364231 eta: 1 day, 5:01:35 batch_cost: 0.9271 data_cost: 0.0045 ips: 60.4051 images/s [03/17 23:06:59] ppdet.engine INFO: Epoch: [77] [300/523] learning_rate: 0.236744 loss_vfl: 1.261835 loss_bbox: 0.624178 loss_dfl: 0.473361 loss: 2.363372 eta: 1 day, 5:01:16 batch_cost: 0.8907 data_cost: 0.0061 ips: 62.8715 images/s [03/17 23:07:22] ppdet.engine INFO: Epoch: [77] [320/523] learning_rate: 0.236703 loss_vfl: 1.301395 loss_bbox: 0.643221 loss_dfl: 0.474976 loss: 2.387175 eta: 1 day, 5:01:06 batch_cost: 1.0417 data_cost: 0.0078 ips: 53.7573 images/s [03/17 23:07:42] ppdet.engine INFO: Epoch: [77] [340/523] learning_rate: 0.236663 loss_vfl: 1.241285 loss_bbox: 0.590388 loss_dfl: 0.464100 loss: 2.349312 eta: 1 day, 5:00:51 batch_cost: 0.9342 data_cost: 0.0031 ips: 59.9453 images/s [03/17 23:08:03] ppdet.engine INFO: Epoch: [77] [360/523] learning_rate: 0.236622 loss_vfl: 1.348302 loss_bbox: 0.617863 loss_dfl: 0.471002 loss: 2.442497 eta: 1 day, 5:00:34 batch_cost: 0.9156 data_cost: 0.0060 ips: 61.1645 images/s [03/17 23:08:24] ppdet.engine INFO: Epoch: [77] [380/523] learning_rate: 0.236581 loss_vfl: 1.319310 loss_bbox: 0.617421 loss_dfl: 0.487958 loss: 2.435939 eta: 1 day, 5:00:18 batch_cost: 0.9375 data_cost: 0.0005 ips: 59.7362 images/s [03/17 23:08:46] ppdet.engine INFO: Epoch: [77] [400/523] learning_rate: 0.236541 loss_vfl: 1.349288 loss_bbox: 0.634541 loss_dfl: 0.477010 loss: 2.469975 eta: 1 day, 5:00:04 batch_cost: 0.9731 data_cost: 0.0081 ips: 57.5460 images/s [03/17 23:09:06] ppdet.engine INFO: Epoch: [77] [420/523] learning_rate: 0.236500 loss_vfl: 1.265370 loss_bbox: 0.619350 loss_dfl: 0.481738 loss: 2.370459 eta: 1 day, 4:59:47 batch_cost: 0.9141 data_cost: 0.0029 ips: 61.2596 images/s [03/17 23:09:24] ppdet.engine INFO: Epoch: [77] [440/523] learning_rate: 0.236459 loss_vfl: 1.263013 loss_bbox: 0.623579 loss_dfl: 0.473098 loss: 2.368515 eta: 1 day, 4:59:24 batch_cost: 0.8094 data_cost: 0.0068 ips: 69.1852 images/s [03/17 23:09:41] ppdet.engine INFO: Epoch: [77] [460/523] learning_rate: 0.236419 loss_vfl: 1.242179 loss_bbox: 0.593163 loss_dfl: 0.452986 loss: 2.263783 eta: 1 day, 4:58:57 batch_cost: 0.7366 data_cost: 0.0027 ips: 76.0247 images/s [03/17 23:10:01] ppdet.engine INFO: Epoch: [77] [480/523] learning_rate: 0.236378 loss_vfl: 1.322159 loss_bbox: 0.663569 loss_dfl: 0.502845 loss: 2.484647 eta: 1 day, 4:58:35 batch_cost: 0.8241 data_cost: 0.0039 ips: 67.9526 images/s [03/17 23:10:23] ppdet.engine INFO: Epoch: [77] [500/523] learning_rate: 0.236337 loss_vfl: 1.313937 loss_bbox: 0.611767 loss_dfl: 0.466844 loss: 2.431584 eta: 1 day, 4:58:24 batch_cost: 1.0190 data_cost: 0.0030 ips: 54.9568 images/s [03/17 23:10:40] ppdet.engine INFO: Epoch: [77] [520/523] learning_rate: 0.236296 loss_vfl: 1.300211 loss_bbox: 0.629245 loss_dfl: 0.471816 loss: 2.380430 eta: 1 day, 4:57:56 batch_cost: 0.7364 data_cost: 0.0045 ips: 76.0461 images/s [03/17 23:10:52] ppdet.engine INFO: Epoch: [78] [ 0/523] learning_rate: 0.236290 loss_vfl: 1.334513 loss_bbox: 0.645446 loss_dfl: 0.483142 loss: 2.456467 eta: 1 day, 4:58:16 batch_cost: 1.1252 data_cost: 0.4331 ips: 49.7672 images/s [03/17 23:11:14] ppdet.engine INFO: Epoch: [78] [ 20/523] learning_rate: 0.236249 loss_vfl: 1.286762 loss_bbox: 0.631866 loss_dfl: 0.473167 loss: 2.402337 eta: 1 day, 4:58:00 batch_cost: 0.9247 data_cost: 0.0047 ips: 60.5604 images/s [03/17 23:11:36] ppdet.engine INFO: Epoch: [78] [ 40/523] learning_rate: 0.236209 loss_vfl: 1.250843 loss_bbox: 0.611491 loss_dfl: 0.455231 loss: 2.316727 eta: 1 day, 4:57:45 batch_cost: 0.9507 data_cost: 0.0047 ips: 58.9023 images/s [03/17 23:11:56] ppdet.engine INFO: Epoch: [78] [ 60/523] learning_rate: 0.236168 loss_vfl: 1.292938 loss_bbox: 0.621931 loss_dfl: 0.469959 loss: 2.384997 eta: 1 day, 4:57:27 batch_cost: 0.9050 data_cost: 0.0038 ips: 61.8772 images/s [03/17 23:12:17] ppdet.engine INFO: Epoch: [78] [ 80/523] learning_rate: 0.236127 loss_vfl: 1.304920 loss_bbox: 0.651171 loss_dfl: 0.492450 loss: 2.441306 eta: 1 day, 4:57:07 batch_cost: 0.8607 data_cost: 0.0066 ips: 65.0618 images/s [03/17 23:12:39] ppdet.engine INFO: Epoch: [78] [100/523] learning_rate: 0.236086 loss_vfl: 1.308570 loss_bbox: 0.613429 loss_dfl: 0.465430 loss: 2.416625 eta: 1 day, 4:56:55 batch_cost: 0.9955 data_cost: 0.0101 ips: 56.2557 images/s [03/17 23:13:00] ppdet.engine INFO: Epoch: [78] [120/523] learning_rate: 0.236045 loss_vfl: 1.324703 loss_bbox: 0.600195 loss_dfl: 0.459391 loss: 2.412462 eta: 1 day, 4:56:39 batch_cost: 0.9420 data_cost: 0.0023 ips: 59.4490 images/s [03/17 23:13:20] ppdet.engine INFO: Epoch: [78] [140/523] learning_rate: 0.236004 loss_vfl: 1.310056 loss_bbox: 0.624291 loss_dfl: 0.482077 loss: 2.443171 eta: 1 day, 4:56:23 batch_cost: 0.9294 data_cost: 0.0052 ips: 60.2541 images/s [03/17 23:13:42] ppdet.engine INFO: Epoch: [78] [160/523] learning_rate: 0.235963 loss_vfl: 1.282122 loss_bbox: 0.622580 loss_dfl: 0.465825 loss: 2.373126 eta: 1 day, 4:56:07 batch_cost: 0.9369 data_cost: 0.0054 ips: 59.7714 images/s [03/17 23:14:01] ppdet.engine INFO: Epoch: [78] [180/523] learning_rate: 0.235923 loss_vfl: 1.302592 loss_bbox: 0.647061 loss_dfl: 0.481486 loss: 2.432516 eta: 1 day, 4:55:43 batch_cost: 0.7850 data_cost: 0.0060 ips: 71.3406 images/s [03/17 23:14:19] ppdet.engine INFO: Epoch: [78] [200/523] learning_rate: 0.235882 loss_vfl: 1.264201 loss_bbox: 0.629034 loss_dfl: 0.475037 loss: 2.359686 eta: 1 day, 4:55:21 batch_cost: 0.8196 data_cost: 0.0030 ips: 68.3286 images/s [03/17 23:14:37] ppdet.engine INFO: Epoch: [78] [220/523] learning_rate: 0.235841 loss_vfl: 1.248102 loss_bbox: 0.611084 loss_dfl: 0.468589 loss: 2.315696 eta: 1 day, 4:54:58 batch_cost: 0.8198 data_cost: 0.0018 ips: 68.3060 images/s [03/17 23:14:58] ppdet.engine INFO: Epoch: [78] [240/523] learning_rate: 0.235800 loss_vfl: 1.235118 loss_bbox: 0.584024 loss_dfl: 0.443007 loss: 2.213389 eta: 1 day, 4:54:40 batch_cost: 0.9040 data_cost: 0.0020 ips: 61.9466 images/s [03/17 23:15:19] ppdet.engine INFO: Epoch: [78] [260/523] learning_rate: 0.235759 loss_vfl: 1.239722 loss_bbox: 0.613120 loss_dfl: 0.462469 loss: 2.289816 eta: 1 day, 4:54:20 batch_cost: 0.8562 data_cost: 0.0038 ips: 65.4075 images/s [03/17 23:15:39] ppdet.engine INFO: Epoch: [78] [280/523] learning_rate: 0.235718 loss_vfl: 1.265655 loss_bbox: 0.620462 loss_dfl: 0.480370 loss: 2.389320 eta: 1 day, 4:54:04 batch_cost: 0.9251 data_cost: 0.0018 ips: 60.5313 images/s [03/17 23:16:00] ppdet.engine INFO: Epoch: [78] [300/523] learning_rate: 0.235677 loss_vfl: 1.312039 loss_bbox: 0.614092 loss_dfl: 0.465684 loss: 2.389834 eta: 1 day, 4:53:47 batch_cost: 0.9171 data_cost: 0.0062 ips: 61.0589 images/s [03/17 23:16:21] ppdet.engine INFO: Epoch: [78] [320/523] learning_rate: 0.235636 loss_vfl: 1.307613 loss_bbox: 0.621412 loss_dfl: 0.478207 loss: 2.407979 eta: 1 day, 4:53:28 batch_cost: 0.8876 data_cost: 0.0019 ips: 63.0911 images/s [03/17 23:16:42] ppdet.engine INFO: Epoch: [78] [340/523] learning_rate: 0.235595 loss_vfl: 1.294226 loss_bbox: 0.664338 loss_dfl: 0.480416 loss: 2.455098 eta: 1 day, 4:53:09 batch_cost: 0.8841 data_cost: 0.0023 ips: 63.3438 images/s [03/17 23:17:02] ppdet.engine INFO: Epoch: [78] [360/523] learning_rate: 0.235554 loss_vfl: 1.297380 loss_bbox: 0.651676 loss_dfl: 0.470684 loss: 2.428652 eta: 1 day, 4:52:48 batch_cost: 0.8424 data_cost: 0.0011 ips: 66.4777 images/s [03/17 23:17:23] ppdet.engine INFO: Epoch: [78] [380/523] learning_rate: 0.235513 loss_vfl: 1.348099 loss_bbox: 0.638825 loss_dfl: 0.492267 loss: 2.492180 eta: 1 day, 4:52:35 batch_cost: 0.9802 data_cost: 0.0046 ips: 57.1309 images/s [03/17 23:17:45] ppdet.engine INFO: Epoch: [78] [400/523] learning_rate: 0.235472 loss_vfl: 1.234284 loss_bbox: 0.605940 loss_dfl: 0.460807 loss: 2.300202 eta: 1 day, 4:52:21 batch_cost: 0.9688 data_cost: 0.0010 ips: 57.8017 images/s [03/17 23:18:05] ppdet.engine INFO: Epoch: [78] [420/523] learning_rate: 0.235430 loss_vfl: 1.236770 loss_bbox: 0.581263 loss_dfl: 0.428974 loss: 2.236032 eta: 1 day, 4:52:03 batch_cost: 0.8973 data_cost: 0.0009 ips: 62.4085 images/s [03/17 23:18:28] ppdet.engine INFO: Epoch: [78] [440/523] learning_rate: 0.235389 loss_vfl: 1.338538 loss_bbox: 0.625133 loss_dfl: 0.486900 loss: 2.480758 eta: 1 day, 4:51:51 batch_cost: 1.0120 data_cost: 0.0020 ips: 55.3340 images/s [03/17 23:18:48] ppdet.engine INFO: Epoch: [78] [460/523] learning_rate: 0.235348 loss_vfl: 1.249081 loss_bbox: 0.595475 loss_dfl: 0.453709 loss: 2.258770 eta: 1 day, 4:51:32 batch_cost: 0.8793 data_cost: 0.0073 ips: 63.6868 images/s [03/17 23:19:07] ppdet.engine INFO: Epoch: [78] [480/523] learning_rate: 0.235307 loss_vfl: 1.283644 loss_bbox: 0.611612 loss_dfl: 0.466704 loss: 2.366021 eta: 1 day, 4:51:10 batch_cost: 0.8274 data_cost: 0.0020 ips: 67.6815 images/s [03/17 23:19:22] ppdet.engine INFO: Epoch: [78] [500/523] learning_rate: 0.235266 loss_vfl: 1.256553 loss_bbox: 0.580665 loss_dfl: 0.434120 loss: 2.265890 eta: 1 day, 4:50:39 batch_cost: 0.6581 data_cost: 0.0024 ips: 85.0911 images/s [03/17 23:19:39] ppdet.engine INFO: Epoch: [78] [520/523] learning_rate: 0.235225 loss_vfl: 1.265909 loss_bbox: 0.594155 loss_dfl: 0.452975 loss: 2.311091 eta: 1 day, 4:50:13 batch_cost: 0.7488 data_cost: 0.0003 ips: 74.7913 images/s [03/17 23:19:50] ppdet.engine INFO: Epoch: [79] [ 0/523] learning_rate: 0.235219 loss_vfl: 1.292681 loss_bbox: 0.592999 loss_dfl: 0.455827 loss: 2.332579 eta: 1 day, 4:50:28 batch_cost: 1.1179 data_cost: 0.3433 ips: 50.0932 images/s [03/17 23:20:13] ppdet.engine INFO: Epoch: [79] [ 20/523] learning_rate: 0.235177 loss_vfl: 1.270701 loss_bbox: 0.588604 loss_dfl: 0.459045 loss: 2.311866 eta: 1 day, 4:50:11 batch_cost: 0.9203 data_cost: 0.0050 ips: 60.8473 images/s [03/17 23:20:32] ppdet.engine INFO: Epoch: [79] [ 40/523] learning_rate: 0.235136 loss_vfl: 1.315979 loss_bbox: 0.592356 loss_dfl: 0.469851 loss: 2.391658 eta: 1 day, 4:49:48 batch_cost: 0.8182 data_cost: 0.0039 ips: 68.4433 images/s [03/17 23:20:55] ppdet.engine INFO: Epoch: [79] [ 60/523] learning_rate: 0.235095 loss_vfl: 1.329502 loss_bbox: 0.660223 loss_dfl: 0.501322 loss: 2.513338 eta: 1 day, 4:49:39 batch_cost: 1.0584 data_cost: 0.0038 ips: 52.9116 images/s [03/17 23:21:15] ppdet.engine INFO: Epoch: [79] [ 80/523] learning_rate: 0.235054 loss_vfl: 1.237982 loss_bbox: 0.623437 loss_dfl: 0.479441 loss: 2.351261 eta: 1 day, 4:49:22 batch_cost: 0.9064 data_cost: 0.0050 ips: 61.7840 images/s [03/17 23:21:38] ppdet.engine INFO: Epoch: [79] [100/523] learning_rate: 0.235013 loss_vfl: 1.252114 loss_bbox: 0.598869 loss_dfl: 0.456693 loss: 2.300602 eta: 1 day, 4:49:11 batch_cost: 1.0180 data_cost: 0.0027 ips: 55.0077 images/s [03/17 23:21:59] ppdet.engine INFO: Epoch: [79] [120/523] learning_rate: 0.234971 loss_vfl: 1.301029 loss_bbox: 0.635189 loss_dfl: 0.484945 loss: 2.473323 eta: 1 day, 4:48:53 batch_cost: 0.8998 data_cost: 0.0027 ips: 62.2337 images/s [03/17 23:22:19] ppdet.engine INFO: Epoch: [79] [140/523] learning_rate: 0.234930 loss_vfl: 1.266359 loss_bbox: 0.581297 loss_dfl: 0.455076 loss: 2.306979 eta: 1 day, 4:48:36 batch_cost: 0.9219 data_cost: 0.0114 ips: 60.7425 images/s [03/17 23:22:40] ppdet.engine INFO: Epoch: [79] [160/523] learning_rate: 0.234889 loss_vfl: 1.258780 loss_bbox: 0.578012 loss_dfl: 0.453877 loss: 2.303710 eta: 1 day, 4:48:16 batch_cost: 0.8670 data_cost: 0.0026 ips: 64.5874 images/s [03/17 23:23:01] ppdet.engine INFO: Epoch: [79] [180/523] learning_rate: 0.234847 loss_vfl: 1.277237 loss_bbox: 0.626625 loss_dfl: 0.461831 loss: 2.353870 eta: 1 day, 4:48:02 batch_cost: 0.9683 data_cost: 0.0084 ips: 57.8350 images/s [03/17 23:23:22] ppdet.engine INFO: Epoch: [79] [200/523] learning_rate: 0.234806 loss_vfl: 1.208152 loss_bbox: 0.599521 loss_dfl: 0.455714 loss: 2.253816 eta: 1 day, 4:47:44 batch_cost: 0.8959 data_cost: 0.0048 ips: 62.5071 images/s [03/17 23:23:42] ppdet.engine INFO: Epoch: [79] [220/523] learning_rate: 0.234765 loss_vfl: 1.283807 loss_bbox: 0.628632 loss_dfl: 0.473615 loss: 2.363443 eta: 1 day, 4:47:29 batch_cost: 0.9557 data_cost: 0.0046 ips: 58.5974 images/s [03/17 23:24:00] ppdet.engine INFO: Epoch: [79] [240/523] learning_rate: 0.234723 loss_vfl: 1.274012 loss_bbox: 0.615091 loss_dfl: 0.464140 loss: 2.339099 eta: 1 day, 4:47:04 batch_cost: 0.7684 data_cost: 0.0124 ips: 72.8777 images/s [03/17 23:24:18] ppdet.engine INFO: Epoch: [79] [260/523] learning_rate: 0.234682 loss_vfl: 1.287138 loss_bbox: 0.622271 loss_dfl: 0.469711 loss: 2.401365 eta: 1 day, 4:46:42 batch_cost: 0.8235 data_cost: 0.0046 ips: 68.0021 images/s [03/17 23:24:39] ppdet.engine INFO: Epoch: [79] [280/523] learning_rate: 0.234641 loss_vfl: 1.341522 loss_bbox: 0.629461 loss_dfl: 0.486645 loss: 2.459801 eta: 1 day, 4:46:22 batch_cost: 0.8615 data_cost: 0.0018 ips: 65.0006 images/s [03/17 23:24:59] ppdet.engine INFO: Epoch: [79] [300/523] learning_rate: 0.234599 loss_vfl: 1.253341 loss_bbox: 0.619347 loss_dfl: 0.464791 loss: 2.330413 eta: 1 day, 4:46:06 batch_cost: 0.9261 data_cost: 0.0036 ips: 60.4694 images/s [03/17 23:25:20] ppdet.engine INFO: Epoch: [79] [320/523] learning_rate: 0.234558 loss_vfl: 1.283583 loss_bbox: 0.632428 loss_dfl: 0.479214 loss: 2.413330 eta: 1 day, 4:45:48 batch_cost: 0.8961 data_cost: 0.0012 ips: 62.4933 images/s [03/17 23:25:37] ppdet.engine INFO: Epoch: [79] [340/523] learning_rate: 0.234516 loss_vfl: 1.287724 loss_bbox: 0.621295 loss_dfl: 0.479291 loss: 2.388558 eta: 1 day, 4:45:23 batch_cost: 0.7746 data_cost: 0.0093 ips: 72.2989 images/s [03/17 23:26:00] ppdet.engine INFO: Epoch: [79] [360/523] learning_rate: 0.234475 loss_vfl: 1.363447 loss_bbox: 0.611981 loss_dfl: 0.481504 loss: 2.473022 eta: 1 day, 4:45:12 batch_cost: 1.0275 data_cost: 0.0120 ips: 54.5021 images/s [03/17 23:26:23] ppdet.engine INFO: Epoch: [79] [380/523] learning_rate: 0.234433 loss_vfl: 1.301214 loss_bbox: 0.634036 loss_dfl: 0.484903 loss: 2.410530 eta: 1 day, 4:45:00 batch_cost: 1.0169 data_cost: 0.0034 ips: 55.0708 images/s [03/17 23:26:44] ppdet.engine INFO: Epoch: [79] [400/523] learning_rate: 0.234392 loss_vfl: 1.313138 loss_bbox: 0.642913 loss_dfl: 0.490237 loss: 2.433741 eta: 1 day, 4:44:43 batch_cost: 0.9149 data_cost: 0.0017 ips: 61.2061 images/s [03/17 23:27:04] ppdet.engine INFO: Epoch: [79] [420/523] learning_rate: 0.234350 loss_vfl: 1.241804 loss_bbox: 0.587885 loss_dfl: 0.442692 loss: 2.272470 eta: 1 day, 4:44:27 batch_cost: 0.9247 data_cost: 0.0033 ips: 60.5602 images/s [03/17 23:27:25] ppdet.engine INFO: Epoch: [79] [440/523] learning_rate: 0.234309 loss_vfl: 1.324018 loss_bbox: 0.651601 loss_dfl: 0.506015 loss: 2.494005 eta: 1 day, 4:44:09 batch_cost: 0.9072 data_cost: 0.0038 ips: 61.7262 images/s [03/17 23:27:45] ppdet.engine INFO: Epoch: [79] [460/523] learning_rate: 0.234267 loss_vfl: 1.234323 loss_bbox: 0.601983 loss_dfl: 0.454072 loss: 2.316454 eta: 1 day, 4:43:47 batch_cost: 0.8125 data_cost: 0.0030 ips: 68.9232 images/s [03/17 23:28:04] ppdet.engine INFO: Epoch: [79] [480/523] learning_rate: 0.234226 loss_vfl: 1.304899 loss_bbox: 0.618951 loss_dfl: 0.469683 loss: 2.406606 eta: 1 day, 4:43:25 batch_cost: 0.8380 data_cost: 0.0041 ips: 66.8241 images/s [03/17 23:28:24] ppdet.engine INFO: Epoch: [79] [500/523] learning_rate: 0.234184 loss_vfl: 1.230147 loss_bbox: 0.608475 loss_dfl: 0.445181 loss: 2.283383 eta: 1 day, 4:43:09 batch_cost: 0.9208 data_cost: 0.0047 ips: 60.8185 images/s [03/17 23:28:42] ppdet.engine INFO: Epoch: [79] [520/523] learning_rate: 0.234143 loss_vfl: 1.249037 loss_bbox: 0.595438 loss_dfl: 0.457750 loss: 2.311733 eta: 1 day, 4:42:43 batch_cost: 0.7666 data_cost: 0.0020 ips: 73.0522 images/s [03/17 23:28:44] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 23:28:44] ppdet.engine INFO: Eval iter: 0 [03/17 23:29:03] ppdet.engine INFO: Eval iter: 100 [03/17 23:29:14] ppdet.engine INFO: Eval iter: 200 [03/17 23:29:26] ppdet.engine INFO: Eval iter: 300 [03/17 23:29:38] ppdet.engine INFO: Eval iter: 400 [03/17 23:29:50] ppdet.engine INFO: Eval iter: 500 [03/17 23:30:01] ppdet.engine INFO: Eval iter: 600 [03/17 23:30:16] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.58s) creating index... index created! [03/17 23:30:17] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.84s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=84.07s). Accumulating evaluation results... DONE (t=16.84s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.210 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.330 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.220 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.070 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.204 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.358 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 ] = 0.367 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 ] = 0.130 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.426 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.630 [03/17 23:32:05] ppdet.engine INFO: Total sample number: 4952, averge FPS: 61.91844390770368 [03/17 23:32:05] ppdet.engine INFO: Best test bbox ap is 0.210. [03/17 23:32:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/17 23:32:05] ppdet.engine INFO: Epoch: [80] [ 0/523] learning_rate: 0.234137 loss_vfl: 1.268548 loss_bbox: 0.600648 loss_dfl: 0.458134 loss: 2.317667 eta: 1 day, 4:42:36 batch_cost: 0.7091 data_cost: 0.0020 ips: 78.9754 images/s [03/17 23:32:23] ppdet.engine INFO: Epoch: [80] [ 20/523] learning_rate: 0.234095 loss_vfl: 1.257071 loss_bbox: 0.630723 loss_dfl: 0.461697 loss: 2.376982 eta: 1 day, 4:42:09 batch_cost: 0.7493 data_cost: 0.0112 ips: 74.7350 images/s [03/17 23:32:47] ppdet.engine INFO: Epoch: [80] [ 40/523] learning_rate: 0.234053 loss_vfl: 1.221832 loss_bbox: 0.626268 loss_dfl: 0.470180 loss: 2.326082 eta: 1 day, 4:42:04 batch_cost: 1.1336 data_cost: 0.0017 ips: 49.4004 images/s [03/17 23:33:06] ppdet.engine INFO: Epoch: [80] [ 60/523] learning_rate: 0.234012 loss_vfl: 1.278026 loss_bbox: 0.612143 loss_dfl: 0.468351 loss: 2.319013 eta: 1 day, 4:41:44 batch_cost: 0.8590 data_cost: 0.0017 ips: 65.1934 images/s [03/17 23:33:26] ppdet.engine INFO: Epoch: [80] [ 80/523] learning_rate: 0.233970 loss_vfl: 1.208367 loss_bbox: 0.595491 loss_dfl: 0.442227 loss: 2.227446 eta: 1 day, 4:41:28 batch_cost: 0.9356 data_cost: 0.0014 ips: 59.8554 images/s [03/17 23:33:48] ppdet.engine INFO: Epoch: [80] [100/523] learning_rate: 0.233928 loss_vfl: 1.258317 loss_bbox: 0.594727 loss_dfl: 0.459146 loss: 2.333749 eta: 1 day, 4:41:13 batch_cost: 0.9523 data_cost: 0.0042 ips: 58.8058 images/s [03/17 23:34:11] ppdet.engine INFO: Epoch: [80] [120/523] learning_rate: 0.233887 loss_vfl: 1.253397 loss_bbox: 0.602743 loss_dfl: 0.461226 loss: 2.323355 eta: 1 day, 4:41:05 batch_cost: 1.0675 data_cost: 0.0044 ips: 52.4590 images/s [03/17 23:34:34] ppdet.engine INFO: Epoch: [80] [140/523] learning_rate: 0.233845 loss_vfl: 1.283521 loss_bbox: 0.615891 loss_dfl: 0.466428 loss: 2.365699 eta: 1 day, 4:40:53 batch_cost: 1.0104 data_cost: 0.0026 ips: 55.4248 images/s [03/17 23:34:58] ppdet.engine INFO: Epoch: [80] [160/523] learning_rate: 0.233803 loss_vfl: 1.212902 loss_bbox: 0.588364 loss_dfl: 0.444430 loss: 2.274615 eta: 1 day, 4:40:49 batch_cost: 1.1484 data_cost: 0.0061 ips: 48.7640 images/s [03/17 23:35:18] ppdet.engine INFO: Epoch: [80] [180/523] learning_rate: 0.233762 loss_vfl: 1.274650 loss_bbox: 0.637668 loss_dfl: 0.468564 loss: 2.358384 eta: 1 day, 4:40:32 batch_cost: 0.9217 data_cost: 0.0045 ips: 60.7540 images/s [03/17 23:35:42] ppdet.engine INFO: Epoch: [80] [200/523] learning_rate: 0.233720 loss_vfl: 1.234997 loss_bbox: 0.617777 loss_dfl: 0.454050 loss: 2.340049 eta: 1 day, 4:40:24 batch_cost: 1.0878 data_cost: 0.0045 ips: 51.4797 images/s [03/17 23:36:05] ppdet.engine INFO: Epoch: [80] [220/523] learning_rate: 0.233678 loss_vfl: 1.271881 loss_bbox: 0.595696 loss_dfl: 0.459826 loss: 2.336421 eta: 1 day, 4:40:14 batch_cost: 1.0487 data_cost: 0.0003 ips: 53.3986 images/s [03/17 23:36:27] ppdet.engine INFO: Epoch: [80] [240/523] learning_rate: 0.233637 loss_vfl: 1.282669 loss_bbox: 0.580715 loss_dfl: 0.441837 loss: 2.310048 eta: 1 day, 4:40:03 batch_cost: 1.0124 data_cost: 0.0018 ips: 55.3168 images/s [03/17 23:36:51] ppdet.engine INFO: Epoch: [80] [260/523] learning_rate: 0.233595 loss_vfl: 1.309435 loss_bbox: 0.609071 loss_dfl: 0.483352 loss: 2.449200 eta: 1 day, 4:39:55 batch_cost: 1.0867 data_cost: 0.0039 ips: 51.5330 images/s [03/17 23:37:13] ppdet.engine INFO: Epoch: [80] [280/523] learning_rate: 0.233553 loss_vfl: 1.297624 loss_bbox: 0.636612 loss_dfl: 0.470608 loss: 2.407759 eta: 1 day, 4:39:44 batch_cost: 1.0197 data_cost: 0.0025 ips: 54.9206 images/s [03/17 23:37:32] ppdet.engine INFO: Epoch: [80] [300/523] learning_rate: 0.233511 loss_vfl: 1.270017 loss_bbox: 0.606787 loss_dfl: 0.465203 loss: 2.340069 eta: 1 day, 4:39:22 batch_cost: 0.8421 data_cost: 0.0034 ips: 66.5003 images/s [03/17 23:37:51] ppdet.engine INFO: Epoch: [80] [320/523] learning_rate: 0.233469 loss_vfl: 1.277669 loss_bbox: 0.599669 loss_dfl: 0.460762 loss: 2.340786 eta: 1 day, 4:39:01 batch_cost: 0.8295 data_cost: 0.0010 ips: 67.5094 images/s [03/17 23:38:11] ppdet.engine INFO: Epoch: [80] [340/523] learning_rate: 0.233428 loss_vfl: 1.317033 loss_bbox: 0.637197 loss_dfl: 0.475900 loss: 2.413839 eta: 1 day, 4:38:46 batch_cost: 0.9568 data_cost: 0.0011 ips: 58.5295 images/s [03/17 23:38:32] ppdet.engine INFO: Epoch: [80] [360/523] learning_rate: 0.233386 loss_vfl: 1.186809 loss_bbox: 0.595530 loss_dfl: 0.459117 loss: 2.260745 eta: 1 day, 4:38:30 batch_cost: 0.9382 data_cost: 0.0020 ips: 59.6871 images/s [03/17 23:38:55] ppdet.engine INFO: Epoch: [80] [380/523] learning_rate: 0.233344 loss_vfl: 1.391582 loss_bbox: 0.641947 loss_dfl: 0.503006 loss: 2.509067 eta: 1 day, 4:38:19 batch_cost: 1.0243 data_cost: 0.0036 ips: 54.6705 images/s [03/17 23:39:16] ppdet.engine INFO: Epoch: [80] [400/523] learning_rate: 0.233302 loss_vfl: 1.251619 loss_bbox: 0.603646 loss_dfl: 0.475441 loss: 2.317493 eta: 1 day, 4:38:03 batch_cost: 0.9451 data_cost: 0.0003 ips: 59.2516 images/s [03/17 23:39:38] ppdet.engine INFO: Epoch: [80] [420/523] learning_rate: 0.233260 loss_vfl: 1.365954 loss_bbox: 0.647038 loss_dfl: 0.495364 loss: 2.542795 eta: 1 day, 4:37:48 batch_cost: 0.9389 data_cost: 0.0050 ips: 59.6445 images/s [03/17 23:40:01] ppdet.engine INFO: Epoch: [80] [440/523] learning_rate: 0.233218 loss_vfl: 1.262207 loss_bbox: 0.585239 loss_dfl: 0.460546 loss: 2.288156 eta: 1 day, 4:37:40 batch_cost: 1.0886 data_cost: 0.0062 ips: 51.4414 images/s [03/17 23:40:24] ppdet.engine INFO: Epoch: [80] [460/523] learning_rate: 0.233176 loss_vfl: 1.276363 loss_bbox: 0.622985 loss_dfl: 0.478742 loss: 2.386163 eta: 1 day, 4:37:30 batch_cost: 1.0504 data_cost: 0.0038 ips: 53.3154 images/s [03/17 23:40:45] ppdet.engine INFO: Epoch: [80] [480/523] learning_rate: 0.233134 loss_vfl: 1.324546 loss_bbox: 0.634327 loss_dfl: 0.485084 loss: 2.442852 eta: 1 day, 4:37:14 batch_cost: 0.9329 data_cost: 0.0048 ips: 60.0270 images/s [03/17 23:41:09] ppdet.engine INFO: Epoch: [80] [500/523] learning_rate: 0.233092 loss_vfl: 1.281334 loss_bbox: 0.589044 loss_dfl: 0.456640 loss: 2.327582 eta: 1 day, 4:37:09 batch_cost: 1.1357 data_cost: 0.0025 ips: 49.3084 images/s [03/17 23:41:26] ppdet.engine INFO: Epoch: [80] [520/523] learning_rate: 0.233050 loss_vfl: 1.263698 loss_bbox: 0.606630 loss_dfl: 0.460391 loss: 2.346575 eta: 1 day, 4:36:42 batch_cost: 0.7427 data_cost: 0.0004 ips: 75.4034 images/s [03/17 23:41:39] ppdet.engine INFO: Epoch: [81] [ 0/523] learning_rate: 0.233044 loss_vfl: 1.269999 loss_bbox: 0.607649 loss_dfl: 0.460391 loss: 2.346575 eta: 1 day, 4:37:04 batch_cost: 1.2225 data_cost: 0.3473 ips: 45.8096 images/s [03/17 23:42:02] ppdet.engine INFO: Epoch: [81] [ 20/523] learning_rate: 0.233002 loss_vfl: 1.214268 loss_bbox: 0.594123 loss_dfl: 0.452444 loss: 2.239012 eta: 1 day, 4:36:55 batch_cost: 1.0736 data_cost: 0.0034 ips: 52.1602 images/s [03/17 23:42:20] ppdet.engine INFO: Epoch: [81] [ 40/523] learning_rate: 0.232960 loss_vfl: 1.273795 loss_bbox: 0.604990 loss_dfl: 0.469331 loss: 2.376992 eta: 1 day, 4:36:31 batch_cost: 0.7853 data_cost: 0.0019 ips: 71.3071 images/s [03/17 23:42:38] ppdet.engine INFO: Epoch: [81] [ 60/523] learning_rate: 0.232918 loss_vfl: 1.242557 loss_bbox: 0.597938 loss_dfl: 0.446774 loss: 2.278677 eta: 1 day, 4:36:10 batch_cost: 0.8436 data_cost: 0.0015 ips: 66.3798 images/s [03/17 23:42:59] ppdet.engine INFO: Epoch: [81] [ 80/523] learning_rate: 0.232876 loss_vfl: 1.278162 loss_bbox: 0.604738 loss_dfl: 0.452979 loss: 2.307361 eta: 1 day, 4:35:55 batch_cost: 0.9571 data_cost: 0.0018 ips: 58.5094 images/s [03/17 23:43:22] ppdet.engine INFO: Epoch: [81] [100/523] learning_rate: 0.232834 loss_vfl: 1.244529 loss_bbox: 0.589954 loss_dfl: 0.443771 loss: 2.294041 eta: 1 day, 4:35:45 batch_cost: 1.0354 data_cost: 0.0047 ips: 54.0874 images/s [03/17 23:43:45] ppdet.engine INFO: Epoch: [81] [120/523] learning_rate: 0.232792 loss_vfl: 1.352477 loss_bbox: 0.637726 loss_dfl: 0.488564 loss: 2.461799 eta: 1 day, 4:35:36 batch_cost: 1.0788 data_cost: 0.0035 ips: 51.9102 images/s [03/17 23:44:06] ppdet.engine INFO: Epoch: [81] [140/523] learning_rate: 0.232750 loss_vfl: 1.236465 loss_bbox: 0.583558 loss_dfl: 0.452043 loss: 2.277751 eta: 1 day, 4:35:20 batch_cost: 0.9370 data_cost: 0.0056 ips: 59.7663 images/s [03/17 23:44:29] ppdet.engine INFO: Epoch: [81] [160/523] learning_rate: 0.232708 loss_vfl: 1.324329 loss_bbox: 0.641915 loss_dfl: 0.473450 loss: 2.455165 eta: 1 day, 4:35:11 batch_cost: 1.0572 data_cost: 0.0022 ips: 52.9723 images/s [03/17 23:44:52] ppdet.engine INFO: Epoch: [81] [180/523] learning_rate: 0.232666 loss_vfl: 1.250239 loss_bbox: 0.627502 loss_dfl: 0.458997 loss: 2.352483 eta: 1 day, 4:35:01 batch_cost: 1.0416 data_cost: 0.0024 ips: 53.7614 images/s [03/17 23:45:15] ppdet.engine INFO: Epoch: [81] [200/523] learning_rate: 0.232624 loss_vfl: 1.303143 loss_bbox: 0.638312 loss_dfl: 0.483442 loss: 2.444769 eta: 1 day, 4:34:51 batch_cost: 1.0614 data_cost: 0.0020 ips: 52.7592 images/s [03/17 23:45:36] ppdet.engine INFO: Epoch: [81] [220/523] learning_rate: 0.232582 loss_vfl: 1.280561 loss_bbox: 0.653785 loss_dfl: 0.490906 loss: 2.408354 eta: 1 day, 4:34:38 batch_cost: 0.9908 data_cost: 0.0013 ips: 56.5195 images/s [03/17 23:45:58] ppdet.engine INFO: Epoch: [81] [240/523] learning_rate: 0.232539 loss_vfl: 1.197788 loss_bbox: 0.572143 loss_dfl: 0.439497 loss: 2.213488 eta: 1 day, 4:34:24 batch_cost: 0.9771 data_cost: 0.0026 ips: 57.3150 images/s [03/17 23:46:20] ppdet.engine INFO: Epoch: [81] [260/523] learning_rate: 0.232497 loss_vfl: 1.282231 loss_bbox: 0.616798 loss_dfl: 0.458953 loss: 2.345067 eta: 1 day, 4:34:12 batch_cost: 1.0033 data_cost: 0.0068 ips: 55.8162 images/s [03/17 23:46:40] ppdet.engine INFO: Epoch: [81] [280/523] learning_rate: 0.232455 loss_vfl: 1.259943 loss_bbox: 0.610628 loss_dfl: 0.469415 loss: 2.322500 eta: 1 day, 4:33:52 batch_cost: 0.8622 data_cost: 0.0030 ips: 64.9478 images/s [03/17 23:46:59] ppdet.engine INFO: Epoch: [81] [300/523] learning_rate: 0.232413 loss_vfl: 1.252089 loss_bbox: 0.609408 loss_dfl: 0.465759 loss: 2.334994 eta: 1 day, 4:33:29 batch_cost: 0.8177 data_cost: 0.0068 ips: 68.4860 images/s [03/17 23:47:17] ppdet.engine INFO: Epoch: [81] [320/523] learning_rate: 0.232371 loss_vfl: 1.257736 loss_bbox: 0.606239 loss_dfl: 0.457937 loss: 2.326416 eta: 1 day, 4:33:08 batch_cost: 0.8439 data_cost: 0.0026 ips: 66.3552 images/s [03/17 23:47:39] ppdet.engine INFO: Epoch: [81] [340/523] learning_rate: 0.232328 loss_vfl: 1.235058 loss_bbox: 0.566133 loss_dfl: 0.438836 loss: 2.220409 eta: 1 day, 4:32:54 batch_cost: 0.9705 data_cost: 0.0038 ips: 57.7014 images/s [03/17 23:47:59] ppdet.engine INFO: Epoch: [81] [360/523] learning_rate: 0.232286 loss_vfl: 1.256584 loss_bbox: 0.609784 loss_dfl: 0.468014 loss: 2.364524 eta: 1 day, 4:32:37 batch_cost: 0.9090 data_cost: 0.0044 ips: 61.6069 images/s [03/17 23:48:23] ppdet.engine INFO: Epoch: [81] [380/523] learning_rate: 0.232244 loss_vfl: 1.251913 loss_bbox: 0.602019 loss_dfl: 0.461949 loss: 2.311611 eta: 1 day, 4:32:29 batch_cost: 1.0885 data_cost: 0.0052 ips: 51.4471 images/s [03/17 23:48:46] ppdet.engine INFO: Epoch: [81] [400/523] learning_rate: 0.232202 loss_vfl: 1.312084 loss_bbox: 0.609242 loss_dfl: 0.468097 loss: 2.398589 eta: 1 day, 4:32:16 batch_cost: 0.9977 data_cost: 0.0107 ips: 56.1273 images/s [03/17 23:49:07] ppdet.engine INFO: Epoch: [81] [420/523] learning_rate: 0.232159 loss_vfl: 1.267571 loss_bbox: 0.645788 loss_dfl: 0.483147 loss: 2.374258 eta: 1 day, 4:32:02 batch_cost: 0.9769 data_cost: 0.0002 ips: 57.3233 images/s [03/17 23:49:29] ppdet.engine INFO: Epoch: [81] [440/523] learning_rate: 0.232117 loss_vfl: 1.284513 loss_bbox: 0.584739 loss_dfl: 0.467641 loss: 2.346509 eta: 1 day, 4:31:48 batch_cost: 0.9712 data_cost: 0.0019 ips: 57.6632 images/s [03/17 23:49:52] ppdet.engine INFO: Epoch: [81] [460/523] learning_rate: 0.232075 loss_vfl: 1.292387 loss_bbox: 0.628531 loss_dfl: 0.468306 loss: 2.374314 eta: 1 day, 4:31:37 batch_cost: 1.0278 data_cost: 0.0015 ips: 54.4846 images/s [03/17 23:50:14] ppdet.engine INFO: Epoch: [81] [480/523] learning_rate: 0.232033 loss_vfl: 1.301612 loss_bbox: 0.633479 loss_dfl: 0.497209 loss: 2.426757 eta: 1 day, 4:31:26 batch_cost: 1.0331 data_cost: 0.0040 ips: 54.2073 images/s [03/17 23:50:36] ppdet.engine INFO: Epoch: [81] [500/523] learning_rate: 0.231990 loss_vfl: 1.375785 loss_bbox: 0.653200 loss_dfl: 0.515109 loss: 2.557965 eta: 1 day, 4:31:11 batch_cost: 0.9651 data_cost: 0.0032 ips: 58.0239 images/s [03/17 23:50:53] ppdet.engine INFO: Epoch: [81] [520/523] learning_rate: 0.231948 loss_vfl: 1.278004 loss_bbox: 0.612071 loss_dfl: 0.464042 loss: 2.347929 eta: 1 day, 4:30:48 batch_cost: 0.8099 data_cost: 0.0023 ips: 69.1458 images/s [03/17 23:51:05] ppdet.engine INFO: Epoch: [82] [ 0/523] learning_rate: 0.231941 loss_vfl: 1.270714 loss_bbox: 0.609955 loss_dfl: 0.464042 loss: 2.344339 eta: 1 day, 4:31:07 batch_cost: 1.2072 data_cost: 0.3238 ips: 46.3894 images/s [03/17 23:51:26] ppdet.engine INFO: Epoch: [82] [ 20/523] learning_rate: 0.231899 loss_vfl: 1.310040 loss_bbox: 0.621332 loss_dfl: 0.465008 loss: 2.366278 eta: 1 day, 4:30:51 batch_cost: 0.9355 data_cost: 0.0039 ips: 59.8584 images/s [03/17 23:51:44] ppdet.engine INFO: Epoch: [82] [ 40/523] learning_rate: 0.231857 loss_vfl: 1.266662 loss_bbox: 0.598427 loss_dfl: 0.461477 loss: 2.316223 eta: 1 day, 4:30:28 batch_cost: 0.8088 data_cost: 0.0031 ips: 69.2381 images/s [03/17 23:52:05] ppdet.engine INFO: Epoch: [82] [ 60/523] learning_rate: 0.231814 loss_vfl: 1.261464 loss_bbox: 0.636371 loss_dfl: 0.481173 loss: 2.396159 eta: 1 day, 4:30:12 batch_cost: 0.9511 data_cost: 0.0041 ips: 58.8772 images/s [03/17 23:52:27] ppdet.engine INFO: Epoch: [82] [ 80/523] learning_rate: 0.231772 loss_vfl: 1.305638 loss_bbox: 0.644015 loss_dfl: 0.483224 loss: 2.428417 eta: 1 day, 4:30:01 batch_cost: 1.0296 data_cost: 0.0021 ips: 54.3876 images/s [03/17 23:52:48] ppdet.engine INFO: Epoch: [82] [100/523] learning_rate: 0.231730 loss_vfl: 1.283829 loss_bbox: 0.611616 loss_dfl: 0.473387 loss: 2.392544 eta: 1 day, 4:29:46 batch_cost: 0.9469 data_cost: 0.0059 ips: 59.1421 images/s [03/17 23:53:12] ppdet.engine INFO: Epoch: [82] [120/523] learning_rate: 0.231687 loss_vfl: 1.313301 loss_bbox: 0.594025 loss_dfl: 0.477127 loss: 2.376723 eta: 1 day, 4:29:38 batch_cost: 1.0992 data_cost: 0.0038 ips: 50.9439 images/s [03/17 23:53:34] ppdet.engine INFO: Epoch: [82] [140/523] learning_rate: 0.231645 loss_vfl: 1.277659 loss_bbox: 0.611096 loss_dfl: 0.471075 loss: 2.347135 eta: 1 day, 4:29:28 batch_cost: 1.0419 data_cost: 0.0018 ips: 53.7469 images/s [03/17 23:53:56] ppdet.engine INFO: Epoch: [82] [160/523] learning_rate: 0.231602 loss_vfl: 1.270834 loss_bbox: 0.593616 loss_dfl: 0.463857 loss: 2.336647 eta: 1 day, 4:29:16 batch_cost: 1.0204 data_cost: 0.0003 ips: 54.8821 images/s [03/17 23:54:18] ppdet.engine INFO: Epoch: [82] [180/523] learning_rate: 0.231560 loss_vfl: 1.242588 loss_bbox: 0.578750 loss_dfl: 0.437915 loss: 2.235098 eta: 1 day, 4:29:03 batch_cost: 1.0007 data_cost: 0.0028 ips: 55.9589 images/s [03/17 23:54:40] ppdet.engine INFO: Epoch: [82] [200/523] learning_rate: 0.231517 loss_vfl: 1.363653 loss_bbox: 0.661182 loss_dfl: 0.497631 loss: 2.488559 eta: 1 day, 4:28:49 batch_cost: 0.9789 data_cost: 0.0047 ips: 57.2074 images/s [03/17 23:55:03] ppdet.engine INFO: Epoch: [82] [220/523] learning_rate: 0.231475 loss_vfl: 1.262606 loss_bbox: 0.621744 loss_dfl: 0.470964 loss: 2.363032 eta: 1 day, 4:28:41 batch_cost: 1.0798 data_cost: 0.0055 ips: 51.8636 images/s [03/17 23:55:26] ppdet.engine INFO: Epoch: [82] [240/523] learning_rate: 0.231432 loss_vfl: 1.268096 loss_bbox: 0.620202 loss_dfl: 0.477303 loss: 2.344475 eta: 1 day, 4:28:28 batch_cost: 0.9997 data_cost: 0.0025 ips: 56.0174 images/s [03/17 23:55:48] ppdet.engine INFO: Epoch: [82] [260/523] learning_rate: 0.231390 loss_vfl: 1.333481 loss_bbox: 0.658544 loss_dfl: 0.499045 loss: 2.499355 eta: 1 day, 4:28:16 batch_cost: 1.0095 data_cost: 0.0096 ips: 55.4704 images/s [03/17 23:56:06] ppdet.engine INFO: Epoch: [82] [280/523] learning_rate: 0.231347 loss_vfl: 1.271051 loss_bbox: 0.595594 loss_dfl: 0.459913 loss: 2.312114 eta: 1 day, 4:27:55 batch_cost: 0.8438 data_cost: 0.0031 ips: 66.3670 images/s [03/17 23:56:23] ppdet.engine INFO: Epoch: [82] [300/523] learning_rate: 0.231304 loss_vfl: 1.297616 loss_bbox: 0.630551 loss_dfl: 0.472728 loss: 2.396685 eta: 1 day, 4:27:30 batch_cost: 0.7751 data_cost: 0.0029 ips: 72.2493 images/s [03/17 23:56:44] ppdet.engine INFO: Epoch: [82] [320/523] learning_rate: 0.231262 loss_vfl: 1.256209 loss_bbox: 0.591224 loss_dfl: 0.470768 loss: 2.337564 eta: 1 day, 4:27:14 batch_cost: 0.9340 data_cost: 0.0029 ips: 59.9557 images/s [03/17 23:57:06] ppdet.engine INFO: Epoch: [82] [340/523] learning_rate: 0.231219 loss_vfl: 1.392740 loss_bbox: 0.670475 loss_dfl: 0.505059 loss: 2.596552 eta: 1 day, 4:27:03 batch_cost: 1.0405 data_cost: 0.0030 ips: 53.8202 images/s [03/17 23:57:29] ppdet.engine INFO: Epoch: [82] [360/523] learning_rate: 0.231177 loss_vfl: 1.211033 loss_bbox: 0.602326 loss_dfl: 0.466109 loss: 2.284731 eta: 1 day, 4:26:52 batch_cost: 1.0402 data_cost: 0.0018 ips: 53.8352 images/s [03/17 23:57:50] ppdet.engine INFO: Epoch: [82] [380/523] learning_rate: 0.231134 loss_vfl: 1.286415 loss_bbox: 0.585956 loss_dfl: 0.461666 loss: 2.321052 eta: 1 day, 4:26:38 batch_cost: 0.9677 data_cost: 0.0015 ips: 57.8700 images/s [03/17 23:58:12] ppdet.engine INFO: Epoch: [82] [400/523] learning_rate: 0.231091 loss_vfl: 1.280772 loss_bbox: 0.609856 loss_dfl: 0.463503 loss: 2.353104 eta: 1 day, 4:26:25 batch_cost: 1.0002 data_cost: 0.0025 ips: 55.9868 images/s [03/17 23:58:34] ppdet.engine INFO: Epoch: [82] [420/523] learning_rate: 0.231049 loss_vfl: 1.286956 loss_bbox: 0.618169 loss_dfl: 0.468533 loss: 2.388557 eta: 1 day, 4:26:14 batch_cost: 1.0269 data_cost: 0.0007 ips: 54.5339 images/s [03/17 23:58:55] ppdet.engine INFO: Epoch: [82] [440/523] learning_rate: 0.231006 loss_vfl: 1.261410 loss_bbox: 0.595919 loss_dfl: 0.461414 loss: 2.325325 eta: 1 day, 4:25:58 batch_cost: 0.9584 data_cost: 0.0026 ips: 58.4315 images/s [03/17 23:59:18] ppdet.engine INFO: Epoch: [82] [460/523] learning_rate: 0.230963 loss_vfl: 1.281285 loss_bbox: 0.620230 loss_dfl: 0.469100 loss: 2.357004 eta: 1 day, 4:25:48 batch_cost: 1.0465 data_cost: 0.0033 ips: 53.5142 images/s [03/17 23:59:40] ppdet.engine INFO: Epoch: [82] [480/523] learning_rate: 0.230921 loss_vfl: 1.251510 loss_bbox: 0.607493 loss_dfl: 0.471067 loss: 2.310628 eta: 1 day, 4:25:33 batch_cost: 0.9627 data_cost: 0.0062 ips: 58.1714 images/s [03/18 00:00:01] ppdet.engine INFO: Epoch: [82] [500/523] learning_rate: 0.230878 loss_vfl: 1.268742 loss_bbox: 0.577266 loss_dfl: 0.461882 loss: 2.282767 eta: 1 day, 4:25:19 batch_cost: 0.9654 data_cost: 0.0020 ips: 58.0046 images/s [03/18 00:00:18] ppdet.engine INFO: Epoch: [82] [520/523] learning_rate: 0.230835 loss_vfl: 1.321359 loss_bbox: 0.631970 loss_dfl: 0.475464 loss: 2.467863 eta: 1 day, 4:24:54 batch_cost: 0.7723 data_cost: 0.0011 ips: 72.5137 images/s [03/18 00:00:28] ppdet.engine INFO: Epoch: [83] [ 0/523] learning_rate: 0.230829 loss_vfl: 1.321359 loss_bbox: 0.631103 loss_dfl: 0.474340 loss: 2.449529 eta: 1 day, 4:25:07 batch_cost: 1.0886 data_cost: 0.2622 ips: 51.4412 images/s [03/18 00:00:48] ppdet.engine INFO: Epoch: [83] [ 20/523] learning_rate: 0.230786 loss_vfl: 1.296408 loss_bbox: 0.623895 loss_dfl: 0.474592 loss: 2.376258 eta: 1 day, 4:24:50 batch_cost: 0.9148 data_cost: 0.0020 ips: 61.2182 images/s [03/18 00:01:08] ppdet.engine INFO: Epoch: [83] [ 40/523] learning_rate: 0.230743 loss_vfl: 1.269871 loss_bbox: 0.633956 loss_dfl: 0.481822 loss: 2.365561 eta: 1 day, 4:24:29 batch_cost: 0.8448 data_cost: 0.0011 ips: 66.2881 images/s [03/18 00:01:29] ppdet.engine INFO: Epoch: [83] [ 60/523] learning_rate: 0.230700 loss_vfl: 1.291657 loss_bbox: 0.629044 loss_dfl: 0.472148 loss: 2.372617 eta: 1 day, 4:24:09 batch_cost: 0.8759 data_cost: 0.0035 ips: 63.9328 images/s [03/18 00:01:52] ppdet.engine INFO: Epoch: [83] [ 80/523] learning_rate: 0.230658 loss_vfl: 1.337778 loss_bbox: 0.631187 loss_dfl: 0.466322 loss: 2.422392 eta: 1 day, 4:24:02 batch_cost: 1.0998 data_cost: 0.0043 ips: 50.9180 images/s [03/18 00:02:14] ppdet.engine INFO: Epoch: [83] [100/523] learning_rate: 0.230615 loss_vfl: 1.332270 loss_bbox: 0.656192 loss_dfl: 0.490615 loss: 2.459270 eta: 1 day, 4:23:48 batch_cost: 0.9837 data_cost: 0.0003 ips: 56.9294 images/s [03/18 00:02:37] ppdet.engine INFO: Epoch: [83] [120/523] learning_rate: 0.230572 loss_vfl: 1.290007 loss_bbox: 0.627127 loss_dfl: 0.479337 loss: 2.384525 eta: 1 day, 4:23:36 batch_cost: 1.0157 data_cost: 0.0012 ips: 55.1357 images/s [03/18 00:02:59] ppdet.engine INFO: Epoch: [83] [140/523] learning_rate: 0.230529 loss_vfl: 1.220575 loss_bbox: 0.611046 loss_dfl: 0.462895 loss: 2.323979 eta: 1 day, 4:23:24 batch_cost: 1.0137 data_cost: 0.0016 ips: 55.2450 images/s [03/18 00:03:21] ppdet.engine INFO: Epoch: [83] [160/523] learning_rate: 0.230486 loss_vfl: 1.211389 loss_bbox: 0.590176 loss_dfl: 0.451880 loss: 2.274098 eta: 1 day, 4:23:08 batch_cost: 0.9476 data_cost: 0.0004 ips: 59.0991 images/s [03/18 00:03:43] ppdet.engine INFO: Epoch: [83] [180/523] learning_rate: 0.230443 loss_vfl: 1.256119 loss_bbox: 0.564925 loss_dfl: 0.439368 loss: 2.251838 eta: 1 day, 4:22:56 batch_cost: 1.0252 data_cost: 0.0053 ips: 54.6209 images/s [03/18 00:04:06] ppdet.engine INFO: Epoch: [83] [200/523] learning_rate: 0.230401 loss_vfl: 1.312699 loss_bbox: 0.617892 loss_dfl: 0.468712 loss: 2.398103 eta: 1 day, 4:22:46 batch_cost: 1.0400 data_cost: 0.0065 ips: 53.8487 images/s [03/18 00:04:27] ppdet.engine INFO: Epoch: [83] [220/523] learning_rate: 0.230358 loss_vfl: 1.247338 loss_bbox: 0.587392 loss_dfl: 0.460247 loss: 2.325954 eta: 1 day, 4:22:31 batch_cost: 0.9630 data_cost: 0.0128 ips: 58.1511 images/s [03/18 00:04:51] ppdet.engine INFO: Epoch: [83] [240/523] learning_rate: 0.230315 loss_vfl: 1.336463 loss_bbox: 0.630022 loss_dfl: 0.469393 loss: 2.435776 eta: 1 day, 4:22:23 batch_cost: 1.1004 data_cost: 0.0024 ips: 50.8885 images/s [03/18 00:05:09] ppdet.engine INFO: Epoch: [83] [260/523] learning_rate: 0.230272 loss_vfl: 1.316541 loss_bbox: 0.647071 loss_dfl: 0.482023 loss: 2.472384 eta: 1 day, 4:22:00 batch_cost: 0.7998 data_cost: 0.0034 ips: 70.0139 images/s [03/18 00:05:28] ppdet.engine INFO: Epoch: [83] [280/523] learning_rate: 0.230229 loss_vfl: 1.222919 loss_bbox: 0.598157 loss_dfl: 0.454087 loss: 2.250984 eta: 1 day, 4:21:39 batch_cost: 0.8473 data_cost: 0.0009 ips: 66.0915 images/s [03/18 00:05:47] ppdet.engine INFO: Epoch: [83] [300/523] learning_rate: 0.230186 loss_vfl: 1.279011 loss_bbox: 0.607326 loss_dfl: 0.471630 loss: 2.337063 eta: 1 day, 4:21:15 batch_cost: 0.7947 data_cost: 0.0027 ips: 70.4672 images/s [03/18 00:06:09] ppdet.engine INFO: Epoch: [83] [320/523] learning_rate: 0.230143 loss_vfl: 1.216661 loss_bbox: 0.582997 loss_dfl: 0.437071 loss: 2.209291 eta: 1 day, 4:21:03 batch_cost: 1.0130 data_cost: 0.0060 ips: 55.2792 images/s [03/18 00:06:30] ppdet.engine INFO: Epoch: [83] [340/523] learning_rate: 0.230100 loss_vfl: 1.350167 loss_bbox: 0.666050 loss_dfl: 0.505520 loss: 2.537837 eta: 1 day, 4:20:49 batch_cost: 0.9919 data_cost: 0.0026 ips: 56.4556 images/s [03/18 00:06:52] ppdet.engine INFO: Epoch: [83] [360/523] learning_rate: 0.230057 loss_vfl: 1.364713 loss_bbox: 0.644690 loss_dfl: 0.487825 loss: 2.476343 eta: 1 day, 4:20:35 batch_cost: 0.9725 data_cost: 0.0003 ips: 57.5855 images/s [03/18 00:07:13] ppdet.engine INFO: Epoch: [83] [380/523] learning_rate: 0.230014 loss_vfl: 1.336592 loss_bbox: 0.654117 loss_dfl: 0.493566 loss: 2.516505 eta: 1 day, 4:20:19 batch_cost: 0.9422 data_cost: 0.0039 ips: 59.4356 images/s [03/18 00:07:35] ppdet.engine INFO: Epoch: [83] [400/523] learning_rate: 0.229971 loss_vfl: 1.318560 loss_bbox: 0.625438 loss_dfl: 0.475887 loss: 2.421877 eta: 1 day, 4:20:04 batch_cost: 0.9579 data_cost: 0.0026 ips: 58.4594 images/s [03/18 00:07:56] ppdet.engine INFO: Epoch: [83] [420/523] learning_rate: 0.229928 loss_vfl: 1.345807 loss_bbox: 0.629851 loss_dfl: 0.491280 loss: 2.419728 eta: 1 day, 4:19:49 batch_cost: 0.9570 data_cost: 0.0070 ips: 58.5139 images/s [03/18 00:08:19] ppdet.engine INFO: Epoch: [83] [440/523] learning_rate: 0.229885 loss_vfl: 1.227854 loss_bbox: 0.587656 loss_dfl: 0.456227 loss: 2.272808 eta: 1 day, 4:19:39 batch_cost: 1.0527 data_cost: 0.0035 ips: 53.1940 images/s [03/18 00:08:40] ppdet.engine INFO: Epoch: [83] [460/523] learning_rate: 0.229842 loss_vfl: 1.222086 loss_bbox: 0.579421 loss_dfl: 0.447013 loss: 2.252165 eta: 1 day, 4:19:23 batch_cost: 0.9567 data_cost: 0.0017 ips: 58.5317 images/s [03/18 00:09:03] ppdet.engine INFO: Epoch: [83] [480/523] learning_rate: 0.229799 loss_vfl: 1.215000 loss_bbox: 0.588526 loss_dfl: 0.444771 loss: 2.258415 eta: 1 day, 4:19:14 batch_cost: 1.0710 data_cost: 0.0020 ips: 52.2877 images/s [03/18 00:09:25] ppdet.engine INFO: Epoch: [83] [500/523] learning_rate: 0.229756 loss_vfl: 1.263907 loss_bbox: 0.598423 loss_dfl: 0.463959 loss: 2.346559 eta: 1 day, 4:18:58 batch_cost: 0.9363 data_cost: 0.0041 ips: 59.8094 images/s [03/18 00:09:41] ppdet.engine INFO: Epoch: [83] [520/523] learning_rate: 0.229712 loss_vfl: 1.293072 loss_bbox: 0.612190 loss_dfl: 0.465945 loss: 2.372662 eta: 1 day, 4:18:29 batch_cost: 0.7032 data_cost: 0.0065 ips: 79.6338 images/s [03/18 00:09:51] ppdet.engine INFO: Epoch: [84] [ 0/523] learning_rate: 0.229706 loss_vfl: 1.280938 loss_bbox: 0.594928 loss_dfl: 0.463404 loss: 2.357302 eta: 1 day, 4:18:43 batch_cost: 0.9867 data_cost: 0.2688 ips: 56.7565 images/s [03/18 00:10:11] ppdet.engine INFO: Epoch: [84] [ 20/523] learning_rate: 0.229663 loss_vfl: 1.217782 loss_bbox: 0.610165 loss_dfl: 0.466787 loss: 2.299581 eta: 1 day, 4:18:24 batch_cost: 0.8953 data_cost: 0.0019 ips: 62.5519 images/s [03/18 00:10:31] ppdet.engine INFO: Epoch: [84] [ 40/523] learning_rate: 0.229620 loss_vfl: 1.301138 loss_bbox: 0.624220 loss_dfl: 0.481339 loss: 2.413573 eta: 1 day, 4:18:05 batch_cost: 0.8809 data_cost: 0.0017 ips: 63.5697 images/s [03/18 00:10:53] ppdet.engine INFO: Epoch: [84] [ 60/523] learning_rate: 0.229577 loss_vfl: 1.277756 loss_bbox: 0.595223 loss_dfl: 0.462715 loss: 2.370150 eta: 1 day, 4:17:53 batch_cost: 1.0272 data_cost: 0.0041 ips: 54.5168 images/s [03/18 00:11:16] ppdet.engine INFO: Epoch: [84] [ 80/523] learning_rate: 0.229533 loss_vfl: 1.300454 loss_bbox: 0.608367 loss_dfl: 0.475507 loss: 2.407533 eta: 1 day, 4:17:43 batch_cost: 1.0569 data_cost: 0.0029 ips: 52.9852 images/s [03/18 00:11:39] ppdet.engine INFO: Epoch: [84] [100/523] learning_rate: 0.229490 loss_vfl: 1.284979 loss_bbox: 0.598742 loss_dfl: 0.461226 loss: 2.331447 eta: 1 day, 4:17:31 batch_cost: 1.0140 data_cost: 0.0004 ips: 55.2277 images/s [03/18 00:12:03] ppdet.engine INFO: Epoch: [84] [120/523] learning_rate: 0.229447 loss_vfl: 1.281917 loss_bbox: 0.649125 loss_dfl: 0.482345 loss: 2.398393 eta: 1 day, 4:17:21 batch_cost: 1.0655 data_cost: 0.0010 ips: 52.5555 images/s [03/18 00:12:27] ppdet.engine INFO: Epoch: [84] [140/523] learning_rate: 0.229404 loss_vfl: 1.244702 loss_bbox: 0.597873 loss_dfl: 0.459326 loss: 2.302011 eta: 1 day, 4:17:15 batch_cost: 1.1254 data_cost: 0.0049 ips: 49.7621 images/s [03/18 00:12:49] ppdet.engine INFO: Epoch: [84] [160/523] learning_rate: 0.229360 loss_vfl: 1.272770 loss_bbox: 0.616061 loss_dfl: 0.467289 loss: 2.346376 eta: 1 day, 4:16:59 batch_cost: 0.9506 data_cost: 0.0054 ips: 58.9097 images/s [03/18 00:13:11] ppdet.engine INFO: Epoch: [84] [180/523] learning_rate: 0.229317 loss_vfl: 1.347923 loss_bbox: 0.652591 loss_dfl: 0.487270 loss: 2.507083 eta: 1 day, 4:16:48 batch_cost: 1.0389 data_cost: 0.0031 ips: 53.9014 images/s [03/18 00:13:33] ppdet.engine INFO: Epoch: [84] [200/523] learning_rate: 0.229274 loss_vfl: 1.284001 loss_bbox: 0.602721 loss_dfl: 0.452066 loss: 2.347526 eta: 1 day, 4:16:36 batch_cost: 1.0143 data_cost: 0.0014 ips: 55.2118 images/s [03/18 00:13:56] ppdet.engine INFO: Epoch: [84] [220/523] learning_rate: 0.229231 loss_vfl: 1.265004 loss_bbox: 0.617925 loss_dfl: 0.469903 loss: 2.359743 eta: 1 day, 4:16:23 batch_cost: 1.0148 data_cost: 0.0021 ips: 55.1817 images/s [03/18 00:14:19] ppdet.engine INFO: Epoch: [84] [240/523] learning_rate: 0.229187 loss_vfl: 1.283264 loss_bbox: 0.620265 loss_dfl: 0.479373 loss: 2.370691 eta: 1 day, 4:16:15 batch_cost: 1.0953 data_cost: 0.0023 ips: 51.1273 images/s [03/18 00:14:36] ppdet.engine INFO: Epoch: [84] [260/523] learning_rate: 0.229144 loss_vfl: 1.241594 loss_bbox: 0.611944 loss_dfl: 0.458819 loss: 2.304208 eta: 1 day, 4:15:49 batch_cost: 0.7502 data_cost: 0.0014 ips: 74.6467 images/s [03/18 00:14:53] ppdet.engine INFO: Epoch: [84] [280/523] learning_rate: 0.229101 loss_vfl: 1.333448 loss_bbox: 0.625266 loss_dfl: 0.483855 loss: 2.396415 eta: 1 day, 4:15:25 batch_cost: 0.7756 data_cost: 0.0005 ips: 72.2052 images/s [03/18 00:15:16] ppdet.engine INFO: Epoch: [84] 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0.647429 loss_dfl: 0.485826 loss: 2.421841 eta: 1 day, 4:14:26 batch_cost: 1.0671 data_cost: 0.0022 ips: 52.4792 images/s [03/18 00:17:11] ppdet.engine INFO: Epoch: [84] [400/523] learning_rate: 0.228841 loss_vfl: 1.318968 loss_bbox: 0.644846 loss_dfl: 0.483033 loss: 2.432934 eta: 1 day, 4:14:16 batch_cost: 1.0551 data_cost: 0.0011 ips: 53.0778 images/s [03/18 00:17:32] ppdet.engine INFO: Epoch: [84] [420/523] learning_rate: 0.228797 loss_vfl: 1.298951 loss_bbox: 0.630968 loss_dfl: 0.467717 loss: 2.334219 eta: 1 day, 4:14:01 batch_cost: 0.9799 data_cost: 0.0063 ips: 57.1511 images/s [03/18 00:17:55] ppdet.engine INFO: Epoch: [84] [440/523] learning_rate: 0.228754 loss_vfl: 1.298181 loss_bbox: 0.630118 loss_dfl: 0.471041 loss: 2.372929 eta: 1 day, 4:13:50 batch_cost: 1.0413 data_cost: 0.0022 ips: 53.7776 images/s [03/18 00:18:19] ppdet.engine INFO: Epoch: [84] [460/523] learning_rate: 0.228710 loss_vfl: 1.234067 loss_bbox: 0.600993 loss_dfl: 0.458392 loss: 2.293579 eta: 1 day, 4:13:44 batch_cost: 1.1365 data_cost: 0.0038 ips: 49.2745 images/s [03/18 00:18:40] ppdet.engine INFO: Epoch: [84] [480/523] learning_rate: 0.228667 loss_vfl: 1.286959 loss_bbox: 0.618769 loss_dfl: 0.468180 loss: 2.351016 eta: 1 day, 4:13:29 batch_cost: 0.9654 data_cost: 0.0017 ips: 58.0076 images/s [03/18 00:18:59] ppdet.engine INFO: Epoch: [84] [500/523] learning_rate: 0.228623 loss_vfl: 1.205110 loss_bbox: 0.554949 loss_dfl: 0.431482 loss: 2.174408 eta: 1 day, 4:13:10 batch_cost: 0.8817 data_cost: 0.0035 ips: 63.5130 images/s [03/18 00:19:14] ppdet.engine INFO: Epoch: [84] [520/523] learning_rate: 0.228580 loss_vfl: 1.310040 loss_bbox: 0.608719 loss_dfl: 0.463592 loss: 2.379821 eta: 1 day, 4:12:41 batch_cost: 0.6821 data_cost: 0.0011 ips: 82.0972 images/s [03/18 00:19:25] ppdet.engine INFO: Epoch: [85] [ 0/523] learning_rate: 0.228573 loss_vfl: 1.316759 loss_bbox: 0.608985 loss_dfl: 0.469719 loss: 2.403270 eta: 1 day, 4:12:55 batch_cost: 0.9903 data_cost: 0.2519 ips: 56.5483 images/s [03/18 00:19:48] ppdet.engine INFO: Epoch: [85] [ 20/523] learning_rate: 0.228530 loss_vfl: 1.226304 loss_bbox: 0.592163 loss_dfl: 0.455422 loss: 2.289792 eta: 1 day, 4:12:45 batch_cost: 1.0713 data_cost: 0.0013 ips: 52.2722 images/s [03/18 00:20:11] ppdet.engine INFO: Epoch: [85] [ 40/523] learning_rate: 0.228486 loss_vfl: 1.306105 loss_bbox: 0.620364 loss_dfl: 0.467839 loss: 2.396623 eta: 1 day, 4:12:34 batch_cost: 1.0448 data_cost: 0.0024 ips: 53.5992 images/s [03/18 00:20:33] ppdet.engine INFO: Epoch: [85] [ 60/523] learning_rate: 0.228443 loss_vfl: 1.343428 loss_bbox: 0.604373 loss_dfl: 0.460953 loss: 2.424191 eta: 1 day, 4:12:24 batch_cost: 1.0501 data_cost: 0.0048 ips: 53.3271 images/s [03/18 00:20:56] ppdet.engine INFO: Epoch: [85] [ 80/523] learning_rate: 0.228399 loss_vfl: 1.216818 loss_bbox: 0.593101 loss_dfl: 0.463025 loss: 2.283133 eta: 1 day, 4:12:10 batch_cost: 0.9927 data_cost: 0.0057 ips: 56.4096 images/s [03/18 00:21:21] ppdet.engine INFO: Epoch: [85] [100/523] learning_rate: 0.228356 loss_vfl: 1.241499 loss_bbox: 0.634157 loss_dfl: 0.476323 loss: 2.343185 eta: 1 day, 4:12:04 batch_cost: 1.1452 data_cost: 0.0060 ips: 48.9006 images/s [03/18 00:21:45] ppdet.engine INFO: Epoch: [85] [120/523] learning_rate: 0.228312 loss_vfl: 1.340611 loss_bbox: 0.623995 loss_dfl: 0.489071 loss: 2.464547 eta: 1 day, 4:11:58 batch_cost: 1.1332 data_cost: 0.0030 ips: 49.4163 images/s [03/18 00:22:08] ppdet.engine INFO: Epoch: [85] [140/523] learning_rate: 0.228268 loss_vfl: 1.326704 loss_bbox: 0.622275 loss_dfl: 0.486071 loss: 2.464085 eta: 1 day, 4:11:48 batch_cost: 1.0638 data_cost: 0.0009 ips: 52.6435 images/s [03/18 00:22:30] ppdet.engine INFO: Epoch: [85] [160/523] learning_rate: 0.228225 loss_vfl: 1.311373 loss_bbox: 0.611269 loss_dfl: 0.468474 loss: 2.419054 eta: 1 day, 4:11:35 batch_cost: 1.0064 data_cost: 0.0010 ips: 55.6418 images/s [03/18 00:22:52] ppdet.engine INFO: Epoch: [85] [180/523] learning_rate: 0.228181 loss_vfl: 1.257767 loss_bbox: 0.587778 loss_dfl: 0.457292 loss: 2.298536 eta: 1 day, 4:11:20 batch_cost: 0.9722 data_cost: 0.0043 ips: 57.6006 images/s [03/18 00:23:14] ppdet.engine INFO: Epoch: [85] [200/523] learning_rate: 0.228138 loss_vfl: 1.281245 loss_bbox: 0.626668 loss_dfl: 0.478400 loss: 2.386038 eta: 1 day, 4:11:07 batch_cost: 1.0044 data_cost: 0.0047 ips: 55.7550 images/s [03/18 00:23:34] ppdet.engine INFO: Epoch: [85] [220/523] learning_rate: 0.228094 loss_vfl: 1.289338 loss_bbox: 0.599347 loss_dfl: 0.460562 loss: 2.293868 eta: 1 day, 4:10:52 batch_cost: 0.9594 data_cost: 0.0021 ips: 58.3692 images/s [03/18 00:23:53] ppdet.engine INFO: Epoch: [85] [240/523] learning_rate: 0.228050 loss_vfl: 1.212940 loss_bbox: 0.587217 loss_dfl: 0.446674 loss: 2.241351 eta: 1 day, 4:10:28 batch_cost: 0.7867 data_cost: 0.0025 ips: 71.1862 images/s [03/18 00:24:13] ppdet.engine INFO: Epoch: [85] [260/523] learning_rate: 0.228007 loss_vfl: 1.201237 loss_bbox: 0.556684 loss_dfl: 0.430087 loss: 2.173118 eta: 1 day, 4:10:09 batch_cost: 0.8882 data_cost: 0.0035 ips: 63.0461 images/s [03/18 00:24:34] ppdet.engine INFO: Epoch: [85] [280/523] learning_rate: 0.227963 loss_vfl: 1.350502 loss_bbox: 0.660183 loss_dfl: 0.491162 loss: 2.491667 eta: 1 day, 4:09:55 batch_cost: 0.9872 data_cost: 0.0053 ips: 56.7266 images/s [03/18 00:24:56] ppdet.engine INFO: Epoch: [85] [300/523] learning_rate: 0.227919 loss_vfl: 1.343182 loss_bbox: 0.643767 loss_dfl: 0.490825 loss: 2.493948 eta: 1 day, 4:09:41 batch_cost: 0.9926 data_cost: 0.0022 ips: 56.4178 images/s [03/18 00:25:20] ppdet.engine INFO: Epoch: [85] [320/523] learning_rate: 0.227875 loss_vfl: 1.278728 loss_bbox: 0.616983 loss_dfl: 0.466364 loss: 2.357584 eta: 1 day, 4:09:32 batch_cost: 1.0738 data_cost: 0.0057 ips: 52.1537 images/s [03/18 00:25:42] ppdet.engine INFO: Epoch: [85] [340/523] learning_rate: 0.227832 loss_vfl: 1.250117 loss_bbox: 0.618935 loss_dfl: 0.459825 loss: 2.351728 eta: 1 day, 4:09:18 batch_cost: 0.9957 data_cost: 0.0023 ips: 56.2397 images/s [03/18 00:26:04] ppdet.engine INFO: Epoch: [85] [360/523] learning_rate: 0.227788 loss_vfl: 1.292724 loss_bbox: 0.616876 loss_dfl: 0.467526 loss: 2.344923 eta: 1 day, 4:09:07 batch_cost: 1.0380 data_cost: 0.0003 ips: 53.9494 images/s [03/18 00:26:27] ppdet.engine INFO: Epoch: [85] [380/523] learning_rate: 0.227744 loss_vfl: 1.311137 loss_bbox: 0.622691 loss_dfl: 0.475959 loss: 2.376967 eta: 1 day, 4:08:56 batch_cost: 1.0446 data_cost: 0.0003 ips: 53.6102 images/s [03/18 00:26:49] ppdet.engine INFO: Epoch: [85] [400/523] learning_rate: 0.227700 loss_vfl: 1.337560 loss_bbox: 0.640205 loss_dfl: 0.484537 loss: 2.456430 eta: 1 day, 4:08:41 batch_cost: 0.9724 data_cost: 0.0028 ips: 57.5906 images/s [03/18 00:27:10] ppdet.engine INFO: Epoch: [85] [420/523] learning_rate: 0.227657 loss_vfl: 1.269012 loss_bbox: 0.610046 loss_dfl: 0.471081 loss: 2.355013 eta: 1 day, 4:08:25 batch_cost: 0.9364 data_cost: 0.0004 ips: 59.8057 images/s [03/18 00:27:33] ppdet.engine INFO: Epoch: [85] [440/523] learning_rate: 0.227613 loss_vfl: 1.259864 loss_bbox: 0.577133 loss_dfl: 0.448989 loss: 2.284920 eta: 1 day, 4:08:14 batch_cost: 1.0461 data_cost: 0.0039 ips: 53.5304 images/s [03/18 00:27:54] ppdet.engine INFO: Epoch: [85] [460/523] learning_rate: 0.227569 loss_vfl: 1.332293 loss_bbox: 0.642474 loss_dfl: 0.488915 loss: 2.458220 eta: 1 day, 4:07:57 batch_cost: 0.9274 data_cost: 0.0106 ips: 60.3859 images/s [03/18 00:28:15] ppdet.engine INFO: Epoch: [85] [480/523] learning_rate: 0.227525 loss_vfl: 1.255183 loss_bbox: 0.612143 loss_dfl: 0.461263 loss: 2.358450 eta: 1 day, 4:07:41 batch_cost: 0.9625 data_cost: 0.0036 ips: 58.1845 images/s [03/18 00:28:34] ppdet.engine INFO: Epoch: [85] [500/523] learning_rate: 0.227481 loss_vfl: 1.265072 loss_bbox: 0.619163 loss_dfl: 0.464863 loss: 2.356207 eta: 1 day, 4:07:21 batch_cost: 0.8522 data_cost: 0.0023 ips: 65.7144 images/s [03/18 00:28:49] ppdet.engine INFO: Epoch: [85] [520/523] learning_rate: 0.227437 loss_vfl: 1.330281 loss_bbox: 0.642062 loss_dfl: 0.491069 loss: 2.470453 eta: 1 day, 4:06:52 batch_cost: 0.6879 data_cost: 0.0009 ips: 81.4052 images/s [03/18 00:29:03] ppdet.engine INFO: Epoch: [86] [ 0/523] learning_rate: 0.227431 loss_vfl: 1.333279 loss_bbox: 0.634958 loss_dfl: 0.484145 loss: 2.411521 eta: 1 day, 4:07:15 batch_cost: 1.2070 data_cost: 0.3076 ips: 46.3967 images/s [03/18 00:29:27] ppdet.engine INFO: Epoch: [86] [ 20/523] learning_rate: 0.227387 loss_vfl: 1.276846 loss_bbox: 0.594607 loss_dfl: 0.462931 loss: 2.349673 eta: 1 day, 4:07:08 batch_cost: 1.1195 data_cost: 0.0020 ips: 50.0239 images/s [03/18 00:29:48] ppdet.engine INFO: Epoch: [86] [ 40/523] learning_rate: 0.227343 loss_vfl: 1.243848 loss_bbox: 0.597889 loss_dfl: 0.459715 loss: 2.293810 eta: 1 day, 4:06:53 batch_cost: 0.9732 data_cost: 0.0018 ips: 57.5414 images/s [03/18 00:30:12] ppdet.engine INFO: Epoch: [86] [ 60/523] learning_rate: 0.227299 loss_vfl: 1.309441 loss_bbox: 0.633306 loss_dfl: 0.479226 loss: 2.411911 eta: 1 day, 4:06:44 batch_cost: 1.0762 data_cost: 0.0023 ips: 52.0372 images/s [03/18 00:30:34] ppdet.engine INFO: Epoch: [86] [ 80/523] learning_rate: 0.227255 loss_vfl: 1.264164 loss_bbox: 0.617703 loss_dfl: 0.464924 loss: 2.358350 eta: 1 day, 4:06:34 batch_cost: 1.0637 data_cost: 0.0039 ips: 52.6467 images/s [03/18 00:30:56] ppdet.engine INFO: Epoch: [86] [100/523] learning_rate: 0.227211 loss_vfl: 1.316346 loss_bbox: 0.624540 loss_dfl: 0.484213 loss: 2.442780 eta: 1 day, 4:06:20 batch_cost: 0.9971 data_cost: 0.0103 ips: 56.1651 images/s [03/18 00:31:19] ppdet.engine INFO: Epoch: [86] [120/523] learning_rate: 0.227167 loss_vfl: 1.252883 loss_bbox: 0.587367 loss_dfl: 0.446706 loss: 2.301556 eta: 1 day, 4:06:08 batch_cost: 1.0237 data_cost: 0.0020 ips: 54.7059 images/s [03/18 00:31:43] ppdet.engine INFO: Epoch: [86] [140/523] learning_rate: 0.227123 loss_vfl: 1.307741 loss_bbox: 0.662499 loss_dfl: 0.499036 loss: 2.484888 eta: 1 day, 4:06:00 batch_cost: 1.1201 data_cost: 0.0020 ips: 49.9965 images/s [03/18 00:32:04] ppdet.engine INFO: Epoch: [86] [160/523] learning_rate: 0.227079 loss_vfl: 1.193697 loss_bbox: 0.577565 loss_dfl: 0.457666 loss: 2.209249 eta: 1 day, 4:05:46 batch_cost: 0.9706 data_cost: 0.0017 ips: 57.6989 images/s [03/18 00:32:27] ppdet.engine INFO: Epoch: [86] [180/523] learning_rate: 0.227036 loss_vfl: 1.250274 loss_bbox: 0.620482 loss_dfl: 0.472269 loss: 2.327707 eta: 1 day, 4:05:34 batch_cost: 1.0388 data_cost: 0.0003 ips: 53.9074 images/s [03/18 00:32:48] ppdet.engine INFO: Epoch: [86] [200/523] learning_rate: 0.226992 loss_vfl: 1.268869 loss_bbox: 0.601867 loss_dfl: 0.449087 loss: 2.295473 eta: 1 day, 4:05:18 batch_cost: 0.9518 data_cost: 0.0033 ips: 58.8353 images/s [03/18 00:33:05] ppdet.engine INFO: Epoch: [86] [220/523] learning_rate: 0.226947 loss_vfl: 1.226817 loss_bbox: 0.598322 loss_dfl: 0.453300 loss: 2.285773 eta: 1 day, 4:04:52 batch_cost: 0.7377 data_cost: 0.0009 ips: 75.9081 images/s [03/18 00:33:23] ppdet.engine INFO: Epoch: [86] [240/523] learning_rate: 0.226903 loss_vfl: 1.309858 loss_bbox: 0.605433 loss_dfl: 0.466836 loss: 2.398565 eta: 1 day, 4:04:31 batch_cost: 0.8489 data_cost: 0.0012 ips: 65.9667 images/s [03/18 00:33:46] ppdet.engine INFO: Epoch: [86] [260/523] learning_rate: 0.226859 loss_vfl: 1.250641 loss_bbox: 0.617862 loss_dfl: 0.461964 loss: 2.308790 eta: 1 day, 4:04:19 batch_cost: 1.0309 data_cost: 0.0022 ips: 54.3211 images/s [03/18 00:34:10] ppdet.engine INFO: Epoch: [86] [280/523] learning_rate: 0.226815 loss_vfl: 1.256559 loss_bbox: 0.576761 loss_dfl: 0.449301 loss: 2.306882 eta: 1 day, 4:04:11 batch_cost: 1.1089 data_cost: 0.0028 ips: 50.5028 images/s [03/18 00:34:30] ppdet.engine INFO: Epoch: [86] [300/523] learning_rate: 0.226771 loss_vfl: 1.296333 loss_bbox: 0.610317 loss_dfl: 0.472083 loss: 2.386607 eta: 1 day, 4:03:53 batch_cost: 0.9125 data_cost: 0.0043 ips: 61.3715 images/s [03/18 00:34:52] ppdet.engine INFO: Epoch: [86] [320/523] learning_rate: 0.226727 loss_vfl: 1.306050 loss_bbox: 0.627663 loss_dfl: 0.474891 loss: 2.436416 eta: 1 day, 4:03:40 batch_cost: 0.9927 data_cost: 0.0115 ips: 56.4116 images/s [03/18 00:35:15] ppdet.engine INFO: Epoch: [86] [340/523] learning_rate: 0.226683 loss_vfl: 1.245497 loss_bbox: 0.575265 loss_dfl: 0.453755 loss: 2.272935 eta: 1 day, 4:03:29 batch_cost: 1.0568 data_cost: 0.0033 ips: 52.9880 images/s [03/18 00:35:38] ppdet.engine INFO: Epoch: [86] [360/523] learning_rate: 0.226639 loss_vfl: 1.208145 loss_bbox: 0.571308 loss_dfl: 0.440653 loss: 2.186243 eta: 1 day, 4:03:16 batch_cost: 1.0149 data_cost: 0.0048 ips: 55.1790 images/s [03/18 00:36:00] ppdet.engine INFO: Epoch: [86] [380/523] learning_rate: 0.226595 loss_vfl: 1.249647 loss_bbox: 0.583575 loss_dfl: 0.452884 loss: 2.239196 eta: 1 day, 4:03:05 batch_cost: 1.0391 data_cost: 0.0079 ips: 53.8946 images/s [03/18 00:36:24] ppdet.engine INFO: Epoch: [86] [400/523] learning_rate: 0.226551 loss_vfl: 1.356562 loss_bbox: 0.654610 loss_dfl: 0.503878 loss: 2.530539 eta: 1 day, 4:02:57 batch_cost: 1.1143 data_cost: 0.0014 ips: 50.2545 images/s [03/18 00:36:46] ppdet.engine INFO: Epoch: [86] [420/523] learning_rate: 0.226507 loss_vfl: 1.332477 loss_bbox: 0.666299 loss_dfl: 0.496643 loss: 2.487570 eta: 1 day, 4:02:43 batch_cost: 0.9887 data_cost: 0.0049 ips: 56.6378 images/s [03/18 00:37:08] ppdet.engine INFO: Epoch: [86] [440/523] learning_rate: 0.226462 loss_vfl: 1.257722 loss_bbox: 0.592175 loss_dfl: 0.462990 loss: 2.288906 eta: 1 day, 4:02:29 batch_cost: 0.9913 data_cost: 0.0027 ips: 56.4922 images/s [03/18 00:37:26] ppdet.engine INFO: Epoch: [86] [460/523] learning_rate: 0.226418 loss_vfl: 1.229701 loss_bbox: 0.601817 loss_dfl: 0.454282 loss: 2.303991 eta: 1 day, 4:02:06 batch_cost: 0.8092 data_cost: 0.0022 ips: 69.2082 images/s [03/18 00:37:44] ppdet.engine INFO: Epoch: [86] [480/523] learning_rate: 0.226374 loss_vfl: 1.299779 loss_bbox: 0.651227 loss_dfl: 0.493234 loss: 2.493008 eta: 1 day, 4:01:43 batch_cost: 0.7937 data_cost: 0.0096 ips: 70.5548 images/s [03/18 00:38:03] ppdet.engine INFO: Epoch: [86] [500/523] learning_rate: 0.226330 loss_vfl: 1.248868 loss_bbox: 0.612632 loss_dfl: 0.467496 loss: 2.313747 eta: 1 day, 4:01:22 batch_cost: 0.8602 data_cost: 0.0082 ips: 65.1012 images/s [03/18 00:38:21] ppdet.engine INFO: Epoch: [86] [520/523] learning_rate: 0.226286 loss_vfl: 1.231706 loss_bbox: 0.577715 loss_dfl: 0.447688 loss: 2.286928 eta: 1 day, 4:01:00 batch_cost: 0.8162 data_cost: 0.0024 ips: 68.6097 images/s [03/18 00:38:34] ppdet.engine INFO: Epoch: [87] [ 0/523] learning_rate: 0.226279 loss_vfl: 1.263642 loss_bbox: 0.604563 loss_dfl: 0.458925 loss: 2.312567 eta: 1 day, 4:01:19 batch_cost: 1.2655 data_cost: 0.2755 ips: 44.2513 images/s [03/18 00:38:56] ppdet.engine INFO: Epoch: [87] [ 20/523] learning_rate: 0.226235 loss_vfl: 1.212319 loss_bbox: 0.599310 loss_dfl: 0.461254 loss: 2.281551 eta: 1 day, 4:01:05 batch_cost: 1.0021 data_cost: 0.0035 ips: 55.8812 images/s [03/18 00:39:19] ppdet.engine INFO: Epoch: [87] [ 40/523] learning_rate: 0.226190 loss_vfl: 1.239242 loss_bbox: 0.587186 loss_dfl: 0.447154 loss: 2.277729 eta: 1 day, 4:00:53 batch_cost: 1.0338 data_cost: 0.0035 ips: 54.1693 images/s [03/18 00:39:41] ppdet.engine INFO: Epoch: [87] [ 60/523] learning_rate: 0.226146 loss_vfl: 1.236026 loss_bbox: 0.595937 loss_dfl: 0.463150 loss: 2.295113 eta: 1 day, 4:00:42 batch_cost: 1.0423 data_cost: 0.0044 ips: 53.7263 images/s [03/18 00:40:05] ppdet.engine INFO: Epoch: [87] [ 80/523] learning_rate: 0.226102 loss_vfl: 1.306698 loss_bbox: 0.630499 loss_dfl: 0.490622 loss: 2.436764 eta: 1 day, 4:00:34 batch_cost: 1.1102 data_cost: 0.0007 ips: 50.4430 images/s [03/18 00:40:24] ppdet.engine INFO: Epoch: [87] [100/523] learning_rate: 0.226058 loss_vfl: 1.272157 loss_bbox: 0.594493 loss_dfl: 0.454939 loss: 2.330258 eta: 1 day, 4:00:14 batch_cost: 0.8665 data_cost: 0.0068 ips: 64.6311 images/s [03/18 00:40:47] ppdet.engine INFO: Epoch: [87] [120/523] learning_rate: 0.226013 loss_vfl: 1.236876 loss_bbox: 0.595364 loss_dfl: 0.462211 loss: 2.297544 eta: 1 day, 4:00:02 batch_cost: 1.0462 data_cost: 0.0027 ips: 53.5277 images/s [03/18 00:41:09] ppdet.engine INFO: Epoch: [87] [140/523] learning_rate: 0.225969 loss_vfl: 1.260581 loss_bbox: 0.612132 loss_dfl: 0.459461 loss: 2.341699 eta: 1 day, 3:59:51 batch_cost: 1.0351 data_cost: 0.0068 ips: 54.1031 images/s [03/18 00:41:32] ppdet.engine INFO: Epoch: [87] [160/523] learning_rate: 0.225925 loss_vfl: 1.299037 loss_bbox: 0.618295 loss_dfl: 0.476974 loss: 2.395880 eta: 1 day, 3:59:37 batch_cost: 1.0007 data_cost: 0.0015 ips: 55.9606 images/s [03/18 00:41:53] ppdet.engine INFO: Epoch: [87] [180/523] learning_rate: 0.225880 loss_vfl: 1.231563 loss_bbox: 0.578298 loss_dfl: 0.439902 loss: 2.254575 eta: 1 day, 3:59:22 batch_cost: 0.9709 data_cost: 0.0003 ips: 57.6796 images/s [03/18 00:42:11] ppdet.engine INFO: Epoch: [87] [200/523] learning_rate: 0.225836 loss_vfl: 1.261843 loss_bbox: 0.612108 loss_dfl: 0.474394 loss: 2.347800 eta: 1 day, 3:58:56 batch_cost: 0.7495 data_cost: 0.0049 ips: 74.7213 images/s [03/18 00:42:29] ppdet.engine INFO: Epoch: [87] [220/523] learning_rate: 0.225791 loss_vfl: 1.292296 loss_bbox: 0.625665 loss_dfl: 0.478405 loss: 2.401042 eta: 1 day, 3:58:34 batch_cost: 0.8222 data_cost: 0.0076 ips: 68.1064 images/s [03/18 00:42:50] ppdet.engine INFO: Epoch: [87] [240/523] learning_rate: 0.225747 loss_vfl: 1.205042 loss_bbox: 0.579689 loss_dfl: 0.446184 loss: 2.235886 eta: 1 day, 3:58:19 batch_cost: 0.9731 data_cost: 0.0085 ips: 57.5454 images/s [03/18 00:43:11] ppdet.engine INFO: Epoch: [87] [260/523] learning_rate: 0.225703 loss_vfl: 1.306015 loss_bbox: 0.621860 loss_dfl: 0.469388 loss: 2.386956 eta: 1 day, 3:58:02 batch_cost: 0.9118 data_cost: 0.0047 ips: 61.4137 images/s [03/18 00:43:34] ppdet.engine INFO: Epoch: [87] [280/523] learning_rate: 0.225658 loss_vfl: 1.278061 loss_bbox: 0.607913 loss_dfl: 0.470493 loss: 2.351823 eta: 1 day, 3:57:50 batch_cost: 1.0455 data_cost: 0.0055 ips: 53.5626 images/s [03/18 00:43:57] ppdet.engine INFO: Epoch: [87] 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0.605996 loss_dfl: 0.455648 loss: 2.309174 eta: 1 day, 3:56:41 batch_cost: 0.9648 data_cost: 0.0026 ips: 58.0453 images/s [03/18 00:45:46] ppdet.engine INFO: Epoch: [87] [400/523] learning_rate: 0.225391 loss_vfl: 1.233981 loss_bbox: 0.589090 loss_dfl: 0.442308 loss: 2.269078 eta: 1 day, 3:56:27 batch_cost: 1.0014 data_cost: 0.0055 ips: 55.9212 images/s [03/18 00:46:09] ppdet.engine INFO: Epoch: [87] [420/523] learning_rate: 0.225347 loss_vfl: 1.243714 loss_bbox: 0.614716 loss_dfl: 0.474039 loss: 2.327027 eta: 1 day, 3:56:18 batch_cost: 1.0913 data_cost: 0.0007 ips: 51.3168 images/s [03/18 00:46:29] ppdet.engine INFO: Epoch: [87] [440/523] learning_rate: 0.225302 loss_vfl: 1.244860 loss_bbox: 0.585086 loss_dfl: 0.452669 loss: 2.273298 eta: 1 day, 3:55:58 batch_cost: 0.8629 data_cost: 0.0016 ips: 64.8964 images/s [03/18 00:46:47] ppdet.engine INFO: Epoch: [87] [460/523] learning_rate: 0.225258 loss_vfl: 1.274995 loss_bbox: 0.638586 loss_dfl: 0.481140 loss: 2.394541 eta: 1 day, 3:55:36 batch_cost: 0.8171 data_cost: 0.0004 ips: 68.5314 images/s [03/18 00:47:06] ppdet.engine INFO: Epoch: [87] [480/523] learning_rate: 0.225213 loss_vfl: 1.322908 loss_bbox: 0.642205 loss_dfl: 0.490515 loss: 2.479712 eta: 1 day, 3:55:14 batch_cost: 0.8304 data_cost: 0.0008 ips: 67.4414 images/s [03/18 00:47:28] ppdet.engine INFO: Epoch: [87] [500/523] learning_rate: 0.225169 loss_vfl: 1.315913 loss_bbox: 0.631884 loss_dfl: 0.490911 loss: 2.456392 eta: 1 day, 3:54:58 batch_cost: 0.9537 data_cost: 0.0054 ips: 58.7199 images/s [03/18 00:47:46] ppdet.engine INFO: Epoch: [87] [520/523] learning_rate: 0.225124 loss_vfl: 1.334107 loss_bbox: 0.617355 loss_dfl: 0.481185 loss: 2.448311 eta: 1 day, 3:54:36 batch_cost: 0.8172 data_cost: 0.0086 ips: 68.5248 images/s [03/18 00:48:01] ppdet.engine INFO: Epoch: [88] [ 0/523] learning_rate: 0.225117 loss_vfl: 1.277500 loss_bbox: 0.615317 loss_dfl: 0.477347 loss: 2.416715 eta: 1 day, 3:54:59 batch_cost: 1.2987 data_cost: 0.2807 ips: 43.1187 images/s [03/18 00:48:22] ppdet.engine INFO: Epoch: [88] [ 20/523] learning_rate: 0.225073 loss_vfl: 1.261567 loss_bbox: 0.585053 loss_dfl: 0.457991 loss: 2.311352 eta: 1 day, 3:54:42 batch_cost: 0.9418 data_cost: 0.0002 ips: 59.4616 images/s [03/18 00:48:46] ppdet.engine INFO: Epoch: [88] [ 40/523] learning_rate: 0.225028 loss_vfl: 1.256199 loss_bbox: 0.597864 loss_dfl: 0.461922 loss: 2.360084 eta: 1 day, 3:54:35 batch_cost: 1.1391 data_cost: 0.0003 ips: 49.1613 images/s [03/18 00:49:10] ppdet.engine INFO: Epoch: [88] [ 60/523] learning_rate: 0.224984 loss_vfl: 1.280117 loss_bbox: 0.608703 loss_dfl: 0.470747 loss: 2.367876 eta: 1 day, 3:54:27 batch_cost: 1.1177 data_cost: 0.0009 ips: 50.1008 images/s [03/18 00:49:32] ppdet.engine INFO: Epoch: [88] [ 80/523] learning_rate: 0.224939 loss_vfl: 1.262218 loss_bbox: 0.613577 loss_dfl: 0.461147 loss: 2.316352 eta: 1 day, 3:54:15 batch_cost: 1.0280 data_cost: 0.0010 ips: 54.4746 images/s [03/18 00:49:56] ppdet.engine INFO: Epoch: [88] [100/523] learning_rate: 0.224894 loss_vfl: 1.254980 loss_bbox: 0.598894 loss_dfl: 0.455540 loss: 2.311296 eta: 1 day, 3:54:06 batch_cost: 1.0933 data_cost: 0.0060 ips: 51.2217 images/s [03/18 00:50:18] ppdet.engine INFO: Epoch: [88] [120/523] learning_rate: 0.224850 loss_vfl: 1.278826 loss_bbox: 0.617031 loss_dfl: 0.483604 loss: 2.391756 eta: 1 day, 3:53:51 batch_cost: 0.9800 data_cost: 0.0104 ips: 57.1448 images/s [03/18 00:50:41] ppdet.engine INFO: Epoch: [88] [140/523] learning_rate: 0.224805 loss_vfl: 1.261440 loss_bbox: 0.612948 loss_dfl: 0.471747 loss: 2.357914 eta: 1 day, 3:53:42 batch_cost: 1.0902 data_cost: 0.0033 ips: 51.3645 images/s [03/18 00:51:00] ppdet.engine INFO: Epoch: [88] [160/523] learning_rate: 0.224760 loss_vfl: 1.289542 loss_bbox: 0.626685 loss_dfl: 0.471371 loss: 2.401249 eta: 1 day, 3:53:20 batch_cost: 0.8276 data_cost: 0.0032 ips: 67.6633 images/s [03/18 00:51:19] ppdet.engine INFO: Epoch: [88] [180/523] learning_rate: 0.224715 loss_vfl: 1.279242 loss_bbox: 0.621234 loss_dfl: 0.472661 loss: 2.370870 eta: 1 day, 3:52:59 batch_cost: 0.8535 data_cost: 0.0030 ips: 65.6127 images/s [03/18 00:51:39] ppdet.engine INFO: Epoch: [88] [200/523] learning_rate: 0.224671 loss_vfl: 1.250277 loss_bbox: 0.597565 loss_dfl: 0.457480 loss: 2.280087 eta: 1 day, 3:52:41 batch_cost: 0.9131 data_cost: 0.0012 ips: 61.3264 images/s [03/18 00:52:01] ppdet.engine INFO: Epoch: [88] [220/523] learning_rate: 0.224626 loss_vfl: 1.262642 loss_bbox: 0.606107 loss_dfl: 0.458297 loss: 2.317666 eta: 1 day, 3:52:28 batch_cost: 0.9960 data_cost: 0.0062 ips: 56.2267 images/s [03/18 00:52:24] ppdet.engine INFO: Epoch: [88] [240/523] learning_rate: 0.224581 loss_vfl: 1.276583 loss_bbox: 0.623047 loss_dfl: 0.473659 loss: 2.378463 eta: 1 day, 3:52:14 batch_cost: 1.0015 data_cost: 0.0018 ips: 55.9179 images/s [03/18 00:52:46] ppdet.engine INFO: Epoch: [88] [260/523] learning_rate: 0.224536 loss_vfl: 1.264127 loss_bbox: 0.625623 loss_dfl: 0.469035 loss: 2.353642 eta: 1 day, 3:51:58 batch_cost: 0.9598 data_cost: 0.0019 ips: 58.3444 images/s [03/18 00:53:09] ppdet.engine INFO: Epoch: [88] [280/523] learning_rate: 0.224492 loss_vfl: 1.331882 loss_bbox: 0.669448 loss_dfl: 0.494160 loss: 2.513875 eta: 1 day, 3:51:44 batch_cost: 0.9899 data_cost: 0.0016 ips: 56.5742 images/s [03/18 00:53:30] ppdet.engine INFO: Epoch: [88] [300/523] learning_rate: 0.224447 loss_vfl: 1.256038 loss_bbox: 0.589703 loss_dfl: 0.454343 loss: 2.311462 eta: 1 day, 3:51:30 batch_cost: 0.9816 data_cost: 0.0029 ips: 57.0500 images/s [03/18 00:53:55] ppdet.engine INFO: Epoch: [88] [320/523] learning_rate: 0.224402 loss_vfl: 1.262519 loss_bbox: 0.595285 loss_dfl: 0.457650 loss: 2.318750 eta: 1 day, 3:51:22 batch_cost: 1.1230 data_cost: 0.0072 ips: 49.8681 images/s [03/18 00:54:15] ppdet.engine INFO: Epoch: [88] [340/523] learning_rate: 0.224357 loss_vfl: 1.229793 loss_bbox: 0.574093 loss_dfl: 0.450070 loss: 2.238816 eta: 1 day, 3:51:02 batch_cost: 0.8638 data_cost: 0.0056 ips: 64.8318 images/s [03/18 00:54:38] ppdet.engine INFO: Epoch: [88] [360/523] learning_rate: 0.224312 loss_vfl: 1.308885 loss_bbox: 0.628083 loss_dfl: 0.473372 loss: 2.432180 eta: 1 day, 3:50:50 batch_cost: 1.0438 data_cost: 0.0017 ips: 53.6516 images/s [03/18 00:55:00] ppdet.engine INFO: Epoch: [88] [380/523] learning_rate: 0.224268 loss_vfl: 1.231280 loss_bbox: 0.613535 loss_dfl: 0.472891 loss: 2.333486 eta: 1 day, 3:50:38 batch_cost: 1.0389 data_cost: 0.0015 ips: 53.9013 images/s [03/18 00:55:21] ppdet.engine INFO: Epoch: [88] [400/523] learning_rate: 0.224223 loss_vfl: 1.234897 loss_bbox: 0.600069 loss_dfl: 0.472000 loss: 2.309809 eta: 1 day, 3:50:21 batch_cost: 0.9278 data_cost: 0.0120 ips: 60.3548 images/s [03/18 00:55:41] ppdet.engine INFO: Epoch: [88] [420/523] learning_rate: 0.224178 loss_vfl: 1.308879 loss_bbox: 0.621383 loss_dfl: 0.482847 loss: 2.400084 eta: 1 day, 3:49:58 batch_cost: 0.8151 data_cost: 0.0015 ips: 68.7041 images/s [03/18 00:56:00] ppdet.engine INFO: Epoch: [88] [440/523] learning_rate: 0.224133 loss_vfl: 1.257749 loss_bbox: 0.611419 loss_dfl: 0.464033 loss: 2.329152 eta: 1 day, 3:49:38 batch_cost: 0.8676 data_cost: 0.0047 ips: 64.5457 images/s [03/18 00:56:20] ppdet.engine INFO: Epoch: [88] [460/523] learning_rate: 0.224088 loss_vfl: 1.231468 loss_bbox: 0.578439 loss_dfl: 0.442529 loss: 2.260526 eta: 1 day, 3:49:21 batch_cost: 0.9252 data_cost: 0.0009 ips: 60.5284 images/s [03/18 00:56:42] ppdet.engine INFO: Epoch: [88] [480/523] learning_rate: 0.224043 loss_vfl: 1.323064 loss_bbox: 0.644894 loss_dfl: 0.492309 loss: 2.452778 eta: 1 day, 3:49:07 batch_cost: 1.0013 data_cost: 0.0021 ips: 55.9271 images/s [03/18 00:57:05] ppdet.engine INFO: Epoch: [88] [500/523] learning_rate: 0.223998 loss_vfl: 1.316175 loss_bbox: 0.618946 loss_dfl: 0.480010 loss: 2.416831 eta: 1 day, 3:48:57 batch_cost: 1.0769 data_cost: 0.0044 ips: 52.0024 images/s [03/18 00:57:21] ppdet.engine INFO: Epoch: [88] [520/523] learning_rate: 0.223953 loss_vfl: 1.301593 loss_bbox: 0.608602 loss_dfl: 0.469863 loss: 2.359027 eta: 1 day, 3:48:31 batch_cost: 0.7322 data_cost: 0.0043 ips: 76.4819 images/s [03/18 00:57:34] ppdet.engine INFO: Epoch: [89] [ 0/523] learning_rate: 0.223946 loss_vfl: 1.286987 loss_bbox: 0.606921 loss_dfl: 0.469149 loss: 2.356192 eta: 1 day, 3:48:49 batch_cost: 1.1685 data_cost: 0.3416 ips: 47.9228 images/s [03/18 00:57:58] ppdet.engine INFO: Epoch: [89] [ 20/523] learning_rate: 0.223902 loss_vfl: 1.308678 loss_bbox: 0.650274 loss_dfl: 0.490453 loss: 2.459803 eta: 1 day, 3:48:36 batch_cost: 1.0277 data_cost: 0.0048 ips: 54.4926 images/s [03/18 00:58:21] ppdet.engine INFO: Epoch: [89] [ 40/523] learning_rate: 0.223857 loss_vfl: 1.269908 loss_bbox: 0.614920 loss_dfl: 0.458791 loss: 2.275121 eta: 1 day, 3:48:26 batch_cost: 1.0673 data_cost: 0.0006 ips: 52.4709 images/s [03/18 00:58:45] ppdet.engine INFO: Epoch: [89] [ 60/523] learning_rate: 0.223812 loss_vfl: 1.248127 loss_bbox: 0.604845 loss_dfl: 0.464279 loss: 2.300990 eta: 1 day, 3:48:18 batch_cost: 1.1339 data_cost: 0.0021 ips: 49.3886 images/s [03/18 00:59:07] ppdet.engine INFO: Epoch: [89] [ 80/523] learning_rate: 0.223767 loss_vfl: 1.312237 loss_bbox: 0.629416 loss_dfl: 0.481822 loss: 2.426810 eta: 1 day, 3:48:05 batch_cost: 1.0113 data_cost: 0.0003 ips: 55.3745 images/s [03/18 00:59:31] ppdet.engine INFO: Epoch: [89] [100/523] learning_rate: 0.223722 loss_vfl: 1.275985 loss_bbox: 0.628465 loss_dfl: 0.484829 loss: 2.387747 eta: 1 day, 3:47:57 batch_cost: 1.1258 data_cost: 0.0015 ips: 49.7421 images/s [03/18 00:59:54] ppdet.engine INFO: Epoch: [89] [120/523] learning_rate: 0.223677 loss_vfl: 1.226578 loss_bbox: 0.616756 loss_dfl: 0.466114 loss: 2.288465 eta: 1 day, 3:47:45 batch_cost: 1.0220 data_cost: 0.0032 ips: 54.7921 images/s [03/18 01:00:12] ppdet.engine INFO: Epoch: [89] [140/523] learning_rate: 0.223631 loss_vfl: 1.378687 loss_bbox: 0.649397 loss_dfl: 0.491376 loss: 2.478831 eta: 1 day, 3:47:23 batch_cost: 0.8289 data_cost: 0.0018 ips: 67.5618 images/s [03/18 01:00:31] ppdet.engine INFO: Epoch: [89] [160/523] learning_rate: 0.223586 loss_vfl: 1.315388 loss_bbox: 0.628179 loss_dfl: 0.472864 loss: 2.429072 eta: 1 day, 3:47:02 batch_cost: 0.8436 data_cost: 0.0007 ips: 66.3796 images/s [03/18 01:00:52] ppdet.engine INFO: Epoch: [89] [180/523] learning_rate: 0.223541 loss_vfl: 1.203453 loss_bbox: 0.574309 loss_dfl: 0.437988 loss: 2.232359 eta: 1 day, 3:46:47 batch_cost: 0.9755 data_cost: 0.1528 ips: 57.4061 images/s [03/18 01:01:17] ppdet.engine INFO: Epoch: [89] [200/523] learning_rate: 0.223496 loss_vfl: 1.274573 loss_bbox: 0.617779 loss_dfl: 0.468602 loss: 2.323104 eta: 1 day, 3:46:38 batch_cost: 1.1089 data_cost: 0.1571 ips: 50.5026 images/s [03/18 01:01:40] ppdet.engine INFO: Epoch: [89] [220/523] learning_rate: 0.223451 loss_vfl: 1.207338 loss_bbox: 0.590386 loss_dfl: 0.446996 loss: 2.249465 eta: 1 day, 3:46:27 batch_cost: 1.0676 data_cost: 0.0020 ips: 52.4520 images/s [03/18 01:02:02] ppdet.engine INFO: Epoch: [89] [240/523] learning_rate: 0.223406 loss_vfl: 1.241555 loss_bbox: 0.590940 loss_dfl: 0.471066 loss: 2.306611 eta: 1 day, 3:46:13 batch_cost: 0.9881 data_cost: 0.0025 ips: 56.6764 images/s [03/18 01:02:25] ppdet.engine INFO: Epoch: [89] [260/523] learning_rate: 0.223361 loss_vfl: 1.249233 loss_bbox: 0.619968 loss_dfl: 0.458134 loss: 2.287328 eta: 1 day, 3:46:04 batch_cost: 1.1064 data_cost: 0.0488 ips: 50.6151 images/s [03/18 01:02:48] ppdet.engine INFO: Epoch: [89] [280/523] learning_rate: 0.223316 loss_vfl: 1.243448 loss_bbox: 0.591944 loss_dfl: 0.449699 loss: 2.281783 eta: 1 day, 3:45:52 batch_cost: 1.0396 data_cost: 0.0115 ips: 53.8644 images/s [03/18 01:03:11] ppdet.engine INFO: Epoch: [89] [300/523] learning_rate: 0.223271 loss_vfl: 1.265567 loss_bbox: 0.591311 loss_dfl: 0.456149 loss: 2.329759 eta: 1 day, 3:45:41 batch_cost: 1.0647 data_cost: 0.0487 ips: 52.5994 images/s [03/18 01:03:35] ppdet.engine INFO: Epoch: [89] [320/523] learning_rate: 0.223226 loss_vfl: 1.304101 loss_bbox: 0.665930 loss_dfl: 0.501390 loss: 2.478852 eta: 1 day, 3:45:32 batch_cost: 1.1005 data_cost: 0.0278 ips: 50.8863 images/s [03/18 01:03:58] ppdet.engine INFO: Epoch: [89] [340/523] learning_rate: 0.223180 loss_vfl: 1.298162 loss_bbox: 0.632151 loss_dfl: 0.479453 loss: 2.421383 eta: 1 day, 3:45:22 batch_cost: 1.0793 data_cost: 0.1311 ips: 51.8867 images/s [03/18 01:04:19] ppdet.engine INFO: Epoch: [89] [360/523] learning_rate: 0.223135 loss_vfl: 1.237988 loss_bbox: 0.594827 loss_dfl: 0.458924 loss: 2.294633 eta: 1 day, 3:45:07 batch_cost: 0.9711 data_cost: 0.0009 ips: 57.6661 images/s [03/18 01:04:38] ppdet.engine INFO: Epoch: [89] [380/523] learning_rate: 0.223090 loss_vfl: 1.239835 loss_bbox: 0.577471 loss_dfl: 0.457764 loss: 2.297619 eta: 1 day, 3:44:46 batch_cost: 0.8539 data_cost: 0.0036 ips: 65.5790 images/s [03/18 01:04:57] ppdet.engine INFO: Epoch: [89] [400/523] learning_rate: 0.223045 loss_vfl: 1.325942 loss_bbox: 0.642076 loss_dfl: 0.483862 loss: 2.464887 eta: 1 day, 3:44:22 batch_cost: 0.7846 data_cost: 0.0028 ips: 71.3783 images/s [03/18 01:05:21] ppdet.engine INFO: Epoch: [89] [420/523] learning_rate: 0.223000 loss_vfl: 1.267563 loss_bbox: 0.603198 loss_dfl: 0.475220 loss: 2.352535 eta: 1 day, 3:44:14 batch_cost: 1.1127 data_cost: 0.3620 ips: 50.3262 images/s [03/18 01:05:41] ppdet.engine INFO: Epoch: [89] [440/523] learning_rate: 0.222954 loss_vfl: 1.318334 loss_bbox: 0.611434 loss_dfl: 0.466060 loss: 2.368230 eta: 1 day, 3:43:56 batch_cost: 0.9289 data_cost: 0.0025 ips: 60.2865 images/s [03/18 01:06:04] ppdet.engine INFO: Epoch: [89] [460/523] learning_rate: 0.222909 loss_vfl: 1.281602 loss_bbox: 0.637283 loss_dfl: 0.474957 loss: 2.384134 eta: 1 day, 3:43:44 batch_cost: 1.0440 data_cost: 0.0011 ips: 53.6402 images/s [03/18 01:06:27] ppdet.engine INFO: Epoch: [89] [480/523] learning_rate: 0.222864 loss_vfl: 1.301298 loss_bbox: 0.610674 loss_dfl: 0.462278 loss: 2.368627 eta: 1 day, 3:43:33 batch_cost: 1.0506 data_cost: 0.0013 ips: 53.3037 images/s [03/18 01:06:50] ppdet.engine INFO: Epoch: [89] [500/523] learning_rate: 0.222818 loss_vfl: 1.295795 loss_bbox: 0.628216 loss_dfl: 0.496984 loss: 2.456871 eta: 1 day, 3:43:20 batch_cost: 1.0300 data_cost: 0.0562 ips: 54.3664 images/s [03/18 01:07:08] ppdet.engine INFO: Epoch: [89] [520/523] learning_rate: 0.222773 loss_vfl: 1.301001 loss_bbox: 0.611515 loss_dfl: 0.470617 loss: 2.360128 eta: 1 day, 3:42:57 batch_cost: 0.7979 data_cost: 0.0919 ips: 70.1850 images/s [03/18 01:07:10] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 01:07:10] ppdet.engine INFO: Eval iter: 0 [03/18 01:07:33] ppdet.engine INFO: Eval iter: 100 [03/18 01:07:44] ppdet.engine INFO: Eval iter: 200 [03/18 01:07:56] ppdet.engine INFO: Eval iter: 300 [03/18 01:08:08] ppdet.engine INFO: Eval iter: 400 [03/18 01:08:20] ppdet.engine INFO: Eval iter: 500 [03/18 01:08:32] ppdet.engine INFO: Eval iter: 600 [03/18 01:08:47] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.89s) creating index... index created! [03/18 01:08:48] 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=84.32s). Accumulating evaluation results... DONE (t=16.84s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.213 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.335 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.223 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.070 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 ] = 0.364 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 ] = 0.369 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.392 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.129 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.429 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.632 [03/18 01:10:35] ppdet.engine INFO: Total sample number: 4952, averge FPS: 58.328289845125816 [03/18 01:10:35] ppdet.engine INFO: Best test bbox ap is 0.213. [03/18 01:10:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 01:10:36] ppdet.engine INFO: Epoch: [90] [ 0/523] learning_rate: 0.222766 loss_vfl: 1.246726 loss_bbox: 0.607801 loss_dfl: 0.469115 loss: 2.334478 eta: 1 day, 3:42:50 batch_cost: 0.7435 data_cost: 0.0912 ips: 75.3170 images/s [03/18 01:10:55] ppdet.engine INFO: Epoch: [90] [ 20/523] learning_rate: 0.222721 loss_vfl: 1.240015 loss_bbox: 0.588781 loss_dfl: 0.462037 loss: 2.304947 eta: 1 day, 3:42:28 batch_cost: 0.8277 data_cost: 0.0010 ips: 67.6584 images/s [03/18 01:11:18] ppdet.engine INFO: Epoch: [90] [ 40/523] learning_rate: 0.222676 loss_vfl: 1.337203 loss_bbox: 0.610614 loss_dfl: 0.481823 loss: 2.479341 eta: 1 day, 3:42:15 batch_cost: 1.0201 data_cost: 0.0012 ips: 54.8982 images/s [03/18 01:11:39] ppdet.engine INFO: Epoch: [90] [ 60/523] learning_rate: 0.222630 loss_vfl: 1.331044 loss_bbox: 0.630678 loss_dfl: 0.479335 loss: 2.445504 eta: 1 day, 3:42:00 batch_cost: 0.9612 data_cost: 0.0016 ips: 58.2611 images/s [03/18 01:12:02] ppdet.engine INFO: Epoch: [90] [ 80/523] learning_rate: 0.222585 loss_vfl: 1.249620 loss_bbox: 0.600291 loss_dfl: 0.468713 loss: 2.339242 eta: 1 day, 3:41:49 batch_cost: 1.0741 data_cost: 0.0046 ips: 52.1350 images/s [03/18 01:12:26] ppdet.engine INFO: Epoch: [90] [100/523] learning_rate: 0.222540 loss_vfl: 1.228118 loss_bbox: 0.601342 loss_dfl: 0.450221 loss: 2.296326 eta: 1 day, 3:41:40 batch_cost: 1.0995 data_cost: 0.0003 ips: 50.9333 images/s [03/18 01:12:47] ppdet.engine INFO: Epoch: [90] [120/523] learning_rate: 0.222494 loss_vfl: 1.229258 loss_bbox: 0.572704 loss_dfl: 0.447628 loss: 2.238932 eta: 1 day, 3:41:23 batch_cost: 0.9393 data_cost: 0.0010 ips: 59.6196 images/s [03/18 01:13:08] ppdet.engine INFO: Epoch: [90] [140/523] learning_rate: 0.222449 loss_vfl: 1.294601 loss_bbox: 0.625072 loss_dfl: 0.488725 loss: 2.427093 eta: 1 day, 3:41:06 batch_cost: 0.9343 data_cost: 0.0018 ips: 59.9375 images/s [03/18 01:13:26] ppdet.engine INFO: Epoch: [90] [160/523] learning_rate: 0.222404 loss_vfl: 1.273961 loss_bbox: 0.588618 loss_dfl: 0.453842 loss: 2.339856 eta: 1 day, 3:40:44 batch_cost: 0.8245 data_cost: 0.0019 ips: 67.9176 images/s [03/18 01:13:46] ppdet.engine INFO: Epoch: [90] [180/523] learning_rate: 0.222358 loss_vfl: 1.223739 loss_bbox: 0.585684 loss_dfl: 0.448769 loss: 2.277967 eta: 1 day, 3:40:24 batch_cost: 0.8598 data_cost: 0.0045 ips: 65.1288 images/s [03/18 01:14:08] ppdet.engine INFO: Epoch: [90] [200/523] learning_rate: 0.222313 loss_vfl: 1.199397 loss_bbox: 0.600930 loss_dfl: 0.450464 loss: 2.269630 eta: 1 day, 3:40:08 batch_cost: 0.9700 data_cost: 0.0009 ips: 57.7330 images/s [03/18 01:14:29] ppdet.engine INFO: Epoch: [90] [220/523] learning_rate: 0.222267 loss_vfl: 1.244427 loss_bbox: 0.593319 loss_dfl: 0.458213 loss: 2.304122 eta: 1 day, 3:39:53 batch_cost: 0.9630 data_cost: 0.0030 ips: 58.1540 images/s [03/18 01:14:53] ppdet.engine INFO: Epoch: [90] [240/523] learning_rate: 0.222222 loss_vfl: 1.256158 loss_bbox: 0.584803 loss_dfl: 0.450490 loss: 2.299166 eta: 1 day, 3:39:44 batch_cost: 1.1098 data_cost: 0.0029 ips: 50.4597 images/s [03/18 01:15:15] ppdet.engine INFO: Epoch: [90] [260/523] learning_rate: 0.222176 loss_vfl: 1.208913 loss_bbox: 0.595949 loss_dfl: 0.447203 loss: 2.265920 eta: 1 day, 3:39:31 batch_cost: 1.0234 data_cost: 0.0020 ips: 54.7181 images/s [03/18 01:15:36] ppdet.engine INFO: Epoch: [90] [280/523] learning_rate: 0.222131 loss_vfl: 1.333783 loss_bbox: 0.642466 loss_dfl: 0.490322 loss: 2.481754 eta: 1 day, 3:39:17 batch_cost: 0.9927 data_cost: 0.0138 ips: 56.4119 images/s [03/18 01:16:01] ppdet.engine INFO: Epoch: [90] [300/523] learning_rate: 0.222085 loss_vfl: 1.258470 loss_bbox: 0.597252 loss_dfl: 0.477542 loss: 2.355587 eta: 1 day, 3:39:09 batch_cost: 1.1425 data_cost: 0.0026 ips: 49.0154 images/s [03/18 01:16:21] ppdet.engine INFO: Epoch: [90] [320/523] learning_rate: 0.222040 loss_vfl: 1.237202 loss_bbox: 0.633787 loss_dfl: 0.470599 loss: 2.361376 eta: 1 day, 3:38:51 batch_cost: 0.9007 data_cost: 0.0109 ips: 62.1745 images/s [03/18 01:16:42] ppdet.engine INFO: Epoch: [90] [340/523] learning_rate: 0.221994 loss_vfl: 1.270014 loss_bbox: 0.608302 loss_dfl: 0.471057 loss: 2.351942 eta: 1 day, 3:38:32 batch_cost: 0.8938 data_cost: 0.0034 ips: 62.6525 images/s [03/18 01:17:06] ppdet.engine INFO: Epoch: [90] [360/523] learning_rate: 0.221949 loss_vfl: 1.268735 loss_bbox: 0.618454 loss_dfl: 0.460698 loss: 2.353963 eta: 1 day, 3:38:23 batch_cost: 1.1036 data_cost: 0.0028 ips: 50.7440 images/s [03/18 01:17:28] ppdet.engine INFO: Epoch: [90] [380/523] learning_rate: 0.221903 loss_vfl: 1.322973 loss_bbox: 0.628711 loss_dfl: 0.492610 loss: 2.435058 eta: 1 day, 3:38:10 batch_cost: 1.0305 data_cost: 0.0061 ips: 54.3445 images/s [03/18 01:17:47] ppdet.engine INFO: Epoch: [90] [400/523] learning_rate: 0.221858 loss_vfl: 1.222973 loss_bbox: 0.583257 loss_dfl: 0.451106 loss: 2.295419 eta: 1 day, 3:37:49 batch_cost: 0.8525 data_cost: 0.0028 ips: 65.6879 images/s [03/18 01:18:04] ppdet.engine INFO: Epoch: [90] [420/523] learning_rate: 0.221812 loss_vfl: 1.240775 loss_bbox: 0.578865 loss_dfl: 0.448584 loss: 2.275576 eta: 1 day, 3:37:24 batch_cost: 0.7616 data_cost: 0.0014 ips: 73.5297 images/s [03/18 01:18:25] ppdet.engine INFO: Epoch: [90] [440/523] learning_rate: 0.221766 loss_vfl: 1.252336 loss_bbox: 0.583592 loss_dfl: 0.464575 loss: 2.338988 eta: 1 day, 3:37:08 batch_cost: 0.9564 data_cost: 0.0013 ips: 58.5532 images/s [03/18 01:18:47] ppdet.engine INFO: Epoch: [90] [460/523] learning_rate: 0.221721 loss_vfl: 1.272324 loss_bbox: 0.640499 loss_dfl: 0.478443 loss: 2.372437 eta: 1 day, 3:36:54 batch_cost: 0.9938 data_cost: 0.0036 ips: 56.3492 images/s [03/18 01:19:10] ppdet.engine INFO: Epoch: [90] [480/523] learning_rate: 0.221675 loss_vfl: 1.265277 loss_bbox: 0.609898 loss_dfl: 0.464371 loss: 2.342454 eta: 1 day, 3:36:42 batch_cost: 1.0351 data_cost: 0.0026 ips: 54.1014 images/s [03/18 01:19:34] ppdet.engine INFO: Epoch: [90] [500/523] learning_rate: 0.221630 loss_vfl: 1.261007 loss_bbox: 0.608419 loss_dfl: 0.455461 loss: 2.339730 eta: 1 day, 3:36:33 batch_cost: 1.1214 data_cost: 0.0030 ips: 49.9382 images/s [03/18 01:19:50] ppdet.engine INFO: Epoch: [90] [520/523] learning_rate: 0.221584 loss_vfl: 1.311199 loss_bbox: 0.636643 loss_dfl: 0.476899 loss: 2.440252 eta: 1 day, 3:36:08 batch_cost: 0.7543 data_cost: 0.0018 ips: 74.2387 images/s [03/18 01:20:02] ppdet.engine INFO: Epoch: [91] [ 0/523] learning_rate: 0.221577 loss_vfl: 1.293781 loss_bbox: 0.636643 loss_dfl: 0.476899 loss: 2.440252 eta: 1 day, 3:36:22 batch_cost: 1.1370 data_cost: 0.2826 ips: 49.2512 images/s [03/18 01:20:26] ppdet.engine INFO: Epoch: [91] [ 20/523] learning_rate: 0.221531 loss_vfl: 1.313888 loss_bbox: 0.604892 loss_dfl: 0.458989 loss: 2.410337 eta: 1 day, 3:36:12 batch_cost: 1.0833 data_cost: 0.0067 ips: 51.6958 images/s [03/18 01:20:50] ppdet.engine INFO: Epoch: [91] [ 40/523] learning_rate: 0.221486 loss_vfl: 1.224629 loss_bbox: 0.587568 loss_dfl: 0.449058 loss: 2.276831 eta: 1 day, 3:36:02 batch_cost: 1.1023 data_cost: 0.0015 ips: 50.8020 images/s [03/18 01:21:13] ppdet.engine INFO: Epoch: [91] [ 60/523] learning_rate: 0.221440 loss_vfl: 1.208034 loss_bbox: 0.599086 loss_dfl: 0.446048 loss: 2.297498 eta: 1 day, 3:35:50 batch_cost: 1.0459 data_cost: 0.0014 ips: 53.5442 images/s [03/18 01:21:37] ppdet.engine INFO: Epoch: [91] [ 80/523] learning_rate: 0.221394 loss_vfl: 1.286684 loss_bbox: 0.644454 loss_dfl: 0.487111 loss: 2.413009 eta: 1 day, 3:35:42 batch_cost: 1.1272 data_cost: 0.0017 ips: 49.6823 images/s [03/18 01:21:56] ppdet.engine INFO: Epoch: [91] [100/523] learning_rate: 0.221349 loss_vfl: 1.246201 loss_bbox: 0.625046 loss_dfl: 0.462725 loss: 2.340111 eta: 1 day, 3:35:23 batch_cost: 0.8819 data_cost: 0.0004 ips: 63.5003 images/s [03/18 01:22:16] ppdet.engine INFO: Epoch: [91] [120/523] learning_rate: 0.221303 loss_vfl: 1.299080 loss_bbox: 0.652456 loss_dfl: 0.471302 loss: 2.420639 eta: 1 day, 3:35:06 batch_cost: 0.9377 data_cost: 0.0020 ips: 59.7222 images/s [03/18 01:22:36] ppdet.engine INFO: Epoch: [91] [140/523] learning_rate: 0.221257 loss_vfl: 1.300729 loss_bbox: 0.602290 loss_dfl: 0.462922 loss: 2.347551 eta: 1 day, 3:34:47 batch_cost: 0.8901 data_cost: 0.0014 ips: 62.9129 images/s [03/18 01:22:57] ppdet.engine INFO: Epoch: [91] [160/523] learning_rate: 0.221212 loss_vfl: 1.304760 loss_bbox: 0.663003 loss_dfl: 0.504940 loss: 2.528564 eta: 1 day, 3:34:33 batch_cost: 1.0037 data_cost: 0.0024 ips: 55.7954 images/s [03/18 01:23:20] ppdet.engine INFO: Epoch: [91] [180/523] learning_rate: 0.221166 loss_vfl: 1.232984 loss_bbox: 0.604395 loss_dfl: 0.456886 loss: 2.284814 eta: 1 day, 3:34:19 batch_cost: 1.0001 data_cost: 0.0075 ips: 55.9929 images/s [03/18 01:23:42] ppdet.engine INFO: Epoch: [91] [200/523] learning_rate: 0.221120 loss_vfl: 1.346474 loss_bbox: 0.646550 loss_dfl: 0.496326 loss: 2.502375 eta: 1 day, 3:34:05 batch_cost: 1.0120 data_cost: 0.0004 ips: 55.3378 images/s [03/18 01:24:05] ppdet.engine INFO: Epoch: [91] [220/523] learning_rate: 0.221074 loss_vfl: 1.285843 loss_bbox: 0.598586 loss_dfl: 0.462506 loss: 2.333064 eta: 1 day, 3:33:52 batch_cost: 1.0260 data_cost: 0.0032 ips: 54.5801 images/s [03/18 01:24:26] ppdet.engine INFO: Epoch: [91] [240/523] learning_rate: 0.221028 loss_vfl: 1.272285 loss_bbox: 0.588935 loss_dfl: 0.459852 loss: 2.285908 eta: 1 day, 3:33:37 batch_cost: 0.9648 data_cost: 0.0068 ips: 58.0457 images/s [03/18 01:24:45] ppdet.engine INFO: Epoch: [91] [260/523] learning_rate: 0.220983 loss_vfl: 1.250856 loss_bbox: 0.601582 loss_dfl: 0.459818 loss: 2.294849 eta: 1 day, 3:33:14 batch_cost: 0.8132 data_cost: 0.0022 ips: 68.8617 images/s [03/18 01:25:10] ppdet.engine INFO: Epoch: [91] [280/523] learning_rate: 0.220937 loss_vfl: 1.253345 loss_bbox: 0.600842 loss_dfl: 0.459526 loss: 2.322195 eta: 1 day, 3:33:07 batch_cost: 1.1660 data_cost: 0.0058 ips: 48.0294 images/s [03/18 01:25:33] ppdet.engine INFO: Epoch: [91] [300/523] learning_rate: 0.220891 loss_vfl: 1.282449 loss_bbox: 0.622686 loss_dfl: 0.472208 loss: 2.355565 eta: 1 day, 3:32:59 batch_cost: 1.1148 data_cost: 0.0024 ips: 50.2335 images/s [03/18 01:25:55] ppdet.engine INFO: Epoch: [91] [320/523] learning_rate: 0.220845 loss_vfl: 1.298831 loss_bbox: 0.638697 loss_dfl: 0.484308 loss: 2.428151 eta: 1 day, 3:32:45 batch_cost: 1.0103 data_cost: 0.0030 ips: 55.4298 images/s [03/18 01:26:18] ppdet.engine INFO: Epoch: [91] [340/523] learning_rate: 0.220799 loss_vfl: 1.249158 loss_bbox: 0.606487 loss_dfl: 0.459810 loss: 2.309270 eta: 1 day, 3:32:34 batch_cost: 1.0576 data_cost: 0.0036 ips: 52.9489 images/s [03/18 01:26:37] ppdet.engine INFO: Epoch: [91] [360/523] learning_rate: 0.220753 loss_vfl: 1.306559 loss_bbox: 0.654288 loss_dfl: 0.494409 loss: 2.453214 eta: 1 day, 3:32:13 batch_cost: 0.8486 data_cost: 0.0010 ips: 65.9937 images/s [03/18 01:26:57] ppdet.engine INFO: Epoch: [91] [380/523] learning_rate: 0.220707 loss_vfl: 1.194677 loss_bbox: 0.589557 loss_dfl: 0.444389 loss: 2.200280 eta: 1 day, 3:31:53 batch_cost: 0.8908 data_cost: 0.0025 ips: 62.8667 images/s [03/18 01:27:16] ppdet.engine INFO: Epoch: [91] [400/523] learning_rate: 0.220662 loss_vfl: 1.208022 loss_bbox: 0.579150 loss_dfl: 0.445343 loss: 2.214604 eta: 1 day, 3:31:33 batch_cost: 0.8683 data_cost: 0.0025 ips: 64.4935 images/s [03/18 01:27:36] ppdet.engine INFO: Epoch: [91] [420/523] learning_rate: 0.220616 loss_vfl: 1.280118 loss_bbox: 0.625742 loss_dfl: 0.466078 loss: 2.339515 eta: 1 day, 3:31:14 batch_cost: 0.8891 data_cost: 0.0031 ips: 62.9839 images/s [03/18 01:27:59] ppdet.engine INFO: Epoch: [91] [440/523] learning_rate: 0.220570 loss_vfl: 1.264518 loss_bbox: 0.606188 loss_dfl: 0.469350 loss: 2.348756 eta: 1 day, 3:31:06 batch_cost: 1.1221 data_cost: 0.0047 ips: 49.9085 images/s [03/18 01:28:20] ppdet.engine INFO: Epoch: [91] [460/523] learning_rate: 0.220524 loss_vfl: 1.273525 loss_bbox: 0.628750 loss_dfl: 0.473846 loss: 2.391146 eta: 1 day, 3:30:47 batch_cost: 0.8930 data_cost: 0.0159 ips: 62.7082 images/s [03/18 01:28:43] ppdet.engine INFO: Epoch: [91] [480/523] learning_rate: 0.220478 loss_vfl: 1.316998 loss_bbox: 0.657917 loss_dfl: 0.495740 loss: 2.481426 eta: 1 day, 3:30:36 batch_cost: 1.0792 data_cost: 0.0063 ips: 51.8893 images/s [03/18 01:29:02] ppdet.engine INFO: Epoch: [91] [500/523] learning_rate: 0.220432 loss_vfl: 1.303852 loss_bbox: 0.620983 loss_dfl: 0.488140 loss: 2.421474 eta: 1 day, 3:30:16 batch_cost: 0.8711 data_cost: 0.0035 ips: 64.2889 images/s [03/18 01:29:21] ppdet.engine INFO: Epoch: [91] [520/523] learning_rate: 0.220386 loss_vfl: 1.288871 loss_bbox: 0.623093 loss_dfl: 0.467692 loss: 2.375606 eta: 1 day, 3:29:54 batch_cost: 0.8309 data_cost: 0.0048 ips: 67.3965 images/s [03/18 01:29:34] ppdet.engine INFO: Epoch: [92] [ 0/523] learning_rate: 0.220379 loss_vfl: 1.288871 loss_bbox: 0.633292 loss_dfl: 0.474710 loss: 2.395619 eta: 1 day, 3:30:12 batch_cost: 1.2545 data_cost: 0.3228 ips: 44.6388 images/s [03/18 01:29:56] ppdet.engine INFO: Epoch: [92] [ 20/523] learning_rate: 0.220333 loss_vfl: 1.268692 loss_bbox: 0.607062 loss_dfl: 0.462546 loss: 2.333052 eta: 1 day, 3:29:58 batch_cost: 0.9997 data_cost: 0.0024 ips: 56.0174 images/s [03/18 01:30:18] ppdet.engine INFO: Epoch: [92] [ 40/523] learning_rate: 0.220287 loss_vfl: 1.300070 loss_bbox: 0.602828 loss_dfl: 0.454520 loss: 2.345385 eta: 1 day, 3:29:45 batch_cost: 1.0201 data_cost: 0.0030 ips: 54.8940 images/s [03/18 01:30:40] ppdet.engine INFO: Epoch: [92] [ 60/523] learning_rate: 0.220241 loss_vfl: 1.272993 loss_bbox: 0.622485 loss_dfl: 0.471295 loss: 2.392842 eta: 1 day, 3:29:33 batch_cost: 1.0401 data_cost: 0.0052 ips: 53.8429 images/s [03/18 01:31:04] ppdet.engine INFO: Epoch: [92] [ 80/523] learning_rate: 0.220195 loss_vfl: 1.265117 loss_bbox: 0.605923 loss_dfl: 0.452578 loss: 2.348771 eta: 1 day, 3:29:20 batch_cost: 1.0296 data_cost: 0.0050 ips: 54.3883 images/s [03/18 01:31:23] ppdet.engine INFO: Epoch: [92] [100/523] learning_rate: 0.220149 loss_vfl: 1.264979 loss_bbox: 0.573633 loss_dfl: 0.440509 loss: 2.290491 eta: 1 day, 3:28:59 batch_cost: 0.8584 data_cost: 0.0022 ips: 65.2351 images/s [03/18 01:31:41] ppdet.engine INFO: Epoch: [92] [120/523] learning_rate: 0.220103 loss_vfl: 1.284745 loss_bbox: 0.619215 loss_dfl: 0.478522 loss: 2.401679 eta: 1 day, 3:28:39 batch_cost: 0.8601 data_cost: 0.0084 ips: 65.1112 images/s [03/18 01:32:03] ppdet.engine INFO: Epoch: [92] [140/523] learning_rate: 0.220057 loss_vfl: 1.215968 loss_bbox: 0.583824 loss_dfl: 0.449202 loss: 2.242014 eta: 1 day, 3:28:24 batch_cost: 0.9788 data_cost: 0.0075 ips: 57.2109 images/s [03/18 01:32:25] ppdet.engine INFO: Epoch: [92] [160/523] learning_rate: 0.220011 loss_vfl: 1.225319 loss_bbox: 0.585238 loss_dfl: 0.452946 loss: 2.261755 eta: 1 day, 3:28:09 batch_cost: 0.9969 data_cost: 0.0009 ips: 56.1734 images/s [03/18 01:32:46] ppdet.engine INFO: Epoch: [92] [180/523] learning_rate: 0.219964 loss_vfl: 1.277040 loss_bbox: 0.604129 loss_dfl: 0.460675 loss: 2.333680 eta: 1 day, 3:27:53 batch_cost: 0.9603 data_cost: 0.0029 ips: 58.3138 images/s [03/18 01:33:11] ppdet.engine INFO: Epoch: [92] [200/523] learning_rate: 0.219918 loss_vfl: 1.365846 loss_bbox: 0.646924 loss_dfl: 0.494767 loss: 2.503508 eta: 1 day, 3:27:46 batch_cost: 1.1577 data_cost: 0.0024 ips: 48.3736 images/s [03/18 01:33:33] ppdet.engine INFO: Epoch: [92] [220/523] learning_rate: 0.219872 loss_vfl: 1.337557 loss_bbox: 0.629561 loss_dfl: 0.478836 loss: 2.433994 eta: 1 day, 3:27:32 batch_cost: 1.0076 data_cost: 0.0046 ips: 55.5756 images/s [03/18 01:33:53] ppdet.engine INFO: Epoch: [92] [240/523] learning_rate: 0.219826 loss_vfl: 1.325293 loss_bbox: 0.632275 loss_dfl: 0.474352 loss: 2.413936 eta: 1 day, 3:27:13 batch_cost: 0.8863 data_cost: 0.0026 ips: 63.1847 images/s [03/18 01:34:17] ppdet.engine INFO: Epoch: [92] [260/523] learning_rate: 0.219780 loss_vfl: 1.181663 loss_bbox: 0.561758 loss_dfl: 0.437602 loss: 2.200140 eta: 1 day, 3:27:04 batch_cost: 1.1234 data_cost: 0.0003 ips: 49.8499 images/s [03/18 01:34:38] ppdet.engine INFO: Epoch: [92] [280/523] learning_rate: 0.219734 loss_vfl: 1.263064 loss_bbox: 0.611581 loss_dfl: 0.464994 loss: 2.312646 eta: 1 day, 3:26:48 batch_cost: 0.9600 data_cost: 0.0047 ips: 58.3346 images/s [03/18 01:35:00] ppdet.engine INFO: Epoch: [92] [300/523] learning_rate: 0.219688 loss_vfl: 1.282988 loss_bbox: 0.624098 loss_dfl: 0.466308 loss: 2.388166 eta: 1 day, 3:26:33 batch_cost: 0.9669 data_cost: 0.0025 ips: 57.9179 images/s [03/18 01:35:24] ppdet.engine INFO: Epoch: [92] [320/523] learning_rate: 0.219641 loss_vfl: 1.304520 loss_bbox: 0.590520 loss_dfl: 0.461267 loss: 2.339055 eta: 1 day, 3:26:22 batch_cost: 1.0759 data_cost: 0.0057 ips: 52.0511 images/s [03/18 01:35:43] ppdet.engine INFO: Epoch: [92] [340/523] learning_rate: 0.219595 loss_vfl: 1.282937 loss_bbox: 0.583616 loss_dfl: 0.452814 loss: 2.336698 eta: 1 day, 3:26:03 batch_cost: 0.8863 data_cost: 0.0011 ips: 63.1810 images/s [03/18 01:36:01] ppdet.engine INFO: Epoch: [92] [360/523] learning_rate: 0.219549 loss_vfl: 1.245094 loss_bbox: 0.604830 loss_dfl: 0.455317 loss: 2.277531 eta: 1 day, 3:25:40 batch_cost: 0.8141 data_cost: 0.0014 ips: 68.7897 images/s [03/18 01:36:21] ppdet.engine INFO: Epoch: [92] [380/523] learning_rate: 0.219503 loss_vfl: 1.244516 loss_bbox: 0.591874 loss_dfl: 0.459618 loss: 2.311006 eta: 1 day, 3:25:19 batch_cost: 0.8365 data_cost: 0.0024 ips: 66.9474 images/s [03/18 01:36:42] ppdet.engine INFO: Epoch: [92] [400/523] learning_rate: 0.219457 loss_vfl: 1.330310 loss_bbox: 0.670765 loss_dfl: 0.498024 loss: 2.519512 eta: 1 day, 3:25:04 batch_cost: 0.9975 data_cost: 0.0002 ips: 56.1428 images/s [03/18 01:37:04] ppdet.engine INFO: Epoch: [92] [420/523] learning_rate: 0.219410 loss_vfl: 1.304727 loss_bbox: 0.608048 loss_dfl: 0.472729 loss: 2.359355 eta: 1 day, 3:24:48 batch_cost: 0.9667 data_cost: 0.0041 ips: 57.9312 images/s [03/18 01:37:26] ppdet.engine INFO: Epoch: [92] [440/523] learning_rate: 0.219364 loss_vfl: 1.303925 loss_bbox: 0.626962 loss_dfl: 0.478260 loss: 2.433540 eta: 1 day, 3:24:37 batch_cost: 1.0572 data_cost: 0.0023 ips: 52.9705 images/s [03/18 01:37:48] ppdet.engine INFO: Epoch: [92] [460/523] learning_rate: 0.219318 loss_vfl: 1.294800 loss_bbox: 0.653131 loss_dfl: 0.482753 loss: 2.426432 eta: 1 day, 3:24:23 batch_cost: 1.0134 data_cost: 0.0033 ips: 55.2607 images/s [03/18 01:38:12] ppdet.engine INFO: Epoch: [92] [480/523] learning_rate: 0.219271 loss_vfl: 1.324040 loss_bbox: 0.615230 loss_dfl: 0.472813 loss: 2.398488 eta: 1 day, 3:24:11 batch_cost: 1.0557 data_cost: 0.0037 ips: 53.0460 images/s [03/18 01:38:33] ppdet.engine INFO: Epoch: [92] [500/523] learning_rate: 0.219225 loss_vfl: 1.286047 loss_bbox: 0.624287 loss_dfl: 0.478760 loss: 2.415933 eta: 1 day, 3:23:54 batch_cost: 0.9343 data_cost: 0.0041 ips: 59.9353 images/s [03/18 01:38:50] ppdet.engine INFO: Epoch: [92] [520/523] learning_rate: 0.219179 loss_vfl: 1.275667 loss_bbox: 0.617308 loss_dfl: 0.480750 loss: 2.372122 eta: 1 day, 3:23:30 batch_cost: 0.7856 data_cost: 0.0041 ips: 71.2872 images/s [03/18 01:39:00] ppdet.engine INFO: Epoch: [93] [ 0/523] learning_rate: 0.219172 loss_vfl: 1.293470 loss_bbox: 0.629168 loss_dfl: 0.487608 loss: 2.389831 eta: 1 day, 3:23:42 batch_cost: 1.0743 data_cost: 0.3136 ips: 52.1261 images/s [03/18 01:39:26] ppdet.engine INFO: Epoch: [93] [ 20/523] learning_rate: 0.219126 loss_vfl: 1.243910 loss_bbox: 0.574313 loss_dfl: 0.453535 loss: 2.284155 eta: 1 day, 3:23:36 batch_cost: 1.1927 data_cost: 0.0028 ips: 46.9519 images/s [03/18 01:39:48] ppdet.engine INFO: Epoch: [93] [ 40/523] learning_rate: 0.219079 loss_vfl: 1.199920 loss_bbox: 0.589707 loss_dfl: 0.462340 loss: 2.279728 eta: 1 day, 3:23:23 batch_cost: 1.0149 data_cost: 0.0075 ips: 55.1781 images/s [03/18 01:40:10] ppdet.engine INFO: Epoch: [93] [ 60/523] learning_rate: 0.219033 loss_vfl: 1.265309 loss_bbox: 0.595301 loss_dfl: 0.463892 loss: 2.365357 eta: 1 day, 3:23:09 batch_cost: 1.0143 data_cost: 0.0018 ips: 55.2114 images/s [03/18 01:40:29] ppdet.engine INFO: Epoch: [93] [ 80/523] learning_rate: 0.218986 loss_vfl: 1.305330 loss_bbox: 0.668757 loss_dfl: 0.499498 loss: 2.496032 eta: 1 day, 3:22:48 batch_cost: 0.8557 data_cost: 0.0027 ips: 65.4467 images/s [03/18 01:40:48] ppdet.engine INFO: Epoch: [93] [100/523] learning_rate: 0.218940 loss_vfl: 1.275169 loss_bbox: 0.597693 loss_dfl: 0.460099 loss: 2.339942 eta: 1 day, 3:22:28 batch_cost: 0.8574 data_cost: 0.0005 ips: 65.3111 images/s [03/18 01:41:10] ppdet.engine INFO: Epoch: [93] [120/523] learning_rate: 0.218894 loss_vfl: 1.155470 loss_bbox: 0.549100 loss_dfl: 0.427985 loss: 2.125047 eta: 1 day, 3:22:12 batch_cost: 0.9784 data_cost: 0.0051 ips: 57.2366 images/s [03/18 01:41:34] ppdet.engine INFO: Epoch: [93] [140/523] learning_rate: 0.218847 loss_vfl: 1.265435 loss_bbox: 0.610559 loss_dfl: 0.468259 loss: 2.337515 eta: 1 day, 3:22:02 batch_cost: 1.0874 data_cost: 0.0038 ips: 51.4969 images/s [03/18 01:41:55] ppdet.engine INFO: Epoch: [93] [160/523] learning_rate: 0.218801 loss_vfl: 1.271790 loss_bbox: 0.603697 loss_dfl: 0.465530 loss: 2.320046 eta: 1 day, 3:21:46 batch_cost: 0.9679 data_cost: 0.0069 ips: 57.8561 images/s [03/18 01:42:17] ppdet.engine INFO: Epoch: [93] [180/523] learning_rate: 0.218754 loss_vfl: 1.315652 loss_bbox: 0.638018 loss_dfl: 0.493292 loss: 2.459313 eta: 1 day, 3:21:33 batch_cost: 1.0140 data_cost: 0.0023 ips: 55.2293 images/s [03/18 01:42:37] ppdet.engine INFO: Epoch: [93] [200/523] learning_rate: 0.218708 loss_vfl: 1.236648 loss_bbox: 0.584303 loss_dfl: 0.447660 loss: 2.257728 eta: 1 day, 3:21:16 batch_cost: 0.9382 data_cost: 0.0053 ips: 59.6862 images/s [03/18 01:43:02] ppdet.engine INFO: Epoch: [93] [220/523] learning_rate: 0.218661 loss_vfl: 1.264969 loss_bbox: 0.612687 loss_dfl: 0.478222 loss: 2.387070 eta: 1 day, 3:21:08 batch_cost: 1.1422 data_cost: 0.0030 ips: 49.0296 images/s [03/18 01:43:25] ppdet.engine INFO: Epoch: [93] [240/523] learning_rate: 0.218615 loss_vfl: 1.237676 loss_bbox: 0.583650 loss_dfl: 0.452062 loss: 2.262583 eta: 1 day, 3:20:56 batch_cost: 1.0632 data_cost: 0.0047 ips: 52.6705 images/s [03/18 01:43:46] ppdet.engine INFO: Epoch: [93] [260/523] learning_rate: 0.218569 loss_vfl: 1.278185 loss_bbox: 0.609005 loss_dfl: 0.462699 loss: 2.324422 eta: 1 day, 3:20:36 batch_cost: 0.8730 data_cost: 0.0016 ips: 64.1456 images/s [03/18 01:44:10] ppdet.engine INFO: Epoch: [93] [280/523] learning_rate: 0.218522 loss_vfl: 1.252265 loss_bbox: 0.588207 loss_dfl: 0.459010 loss: 2.292087 eta: 1 day, 3:20:25 batch_cost: 1.0832 data_cost: 0.0019 ips: 51.6981 images/s [03/18 01:44:33] ppdet.engine INFO: Epoch: [93] [300/523] learning_rate: 0.218476 loss_vfl: 1.217457 loss_bbox: 0.582376 loss_dfl: 0.446266 loss: 2.225203 eta: 1 day, 3:20:13 batch_cost: 1.0444 data_cost: 0.0037 ips: 53.6200 images/s [03/18 01:44:53] ppdet.engine INFO: Epoch: [93] [320/523] learning_rate: 0.218429 loss_vfl: 1.262302 loss_bbox: 0.606393 loss_dfl: 0.479553 loss: 2.385982 eta: 1 day, 3:19:55 batch_cost: 0.9072 data_cost: 0.0004 ips: 61.7278 images/s [03/18 01:45:11] ppdet.engine INFO: Epoch: [93] [340/523] learning_rate: 0.218382 loss_vfl: 1.365285 loss_bbox: 0.623221 loss_dfl: 0.481609 loss: 2.479050 eta: 1 day, 3:19:33 batch_cost: 0.8275 data_cost: 0.0040 ips: 67.6727 images/s [03/18 01:45:32] ppdet.engine INFO: Epoch: [93] [360/523] learning_rate: 0.218336 loss_vfl: 1.284987 loss_bbox: 0.594088 loss_dfl: 0.466032 loss: 2.329780 eta: 1 day, 3:19:16 batch_cost: 0.9478 data_cost: 0.0047 ips: 59.0866 images/s [03/18 01:45:54] ppdet.engine INFO: Epoch: [93] [380/523] learning_rate: 0.218289 loss_vfl: 1.266975 loss_bbox: 0.603665 loss_dfl: 0.473887 loss: 2.352891 eta: 1 day, 3:18:59 batch_cost: 0.9397 data_cost: 0.0041 ips: 59.5917 images/s [03/18 01:46:15] ppdet.engine INFO: Epoch: [93] [400/523] learning_rate: 0.218243 loss_vfl: 1.321745 loss_bbox: 0.655275 loss_dfl: 0.489712 loss: 2.483944 eta: 1 day, 3:18:42 batch_cost: 0.9303 data_cost: 0.0054 ips: 60.1949 images/s [03/18 01:46:37] ppdet.engine INFO: Epoch: [93] [420/523] learning_rate: 0.218196 loss_vfl: 1.165790 loss_bbox: 0.536168 loss_dfl: 0.418727 loss: 2.123419 eta: 1 day, 3:18:29 batch_cost: 1.0465 data_cost: 0.0025 ips: 53.5096 images/s [03/18 01:46:59] ppdet.engine INFO: Epoch: [93] [440/523] learning_rate: 0.218150 loss_vfl: 1.273292 loss_bbox: 0.611338 loss_dfl: 0.458447 loss: 2.304178 eta: 1 day, 3:18:14 batch_cost: 0.9665 data_cost: 0.0036 ips: 57.9402 images/s [03/18 01:47:19] ppdet.engine INFO: Epoch: [93] [460/523] learning_rate: 0.218103 loss_vfl: 1.250814 loss_bbox: 0.586994 loss_dfl: 0.451876 loss: 2.283365 eta: 1 day, 3:17:54 batch_cost: 0.8868 data_cost: 0.0021 ips: 63.1494 images/s [03/18 01:47:42] ppdet.engine INFO: Epoch: [93] [480/523] learning_rate: 0.218056 loss_vfl: 1.235252 loss_bbox: 0.613755 loss_dfl: 0.463636 loss: 2.372181 eta: 1 day, 3:17:43 batch_cost: 1.0646 data_cost: 0.0021 ips: 52.6040 images/s [03/18 01:48:06] ppdet.engine INFO: Epoch: [93] [500/523] learning_rate: 0.218010 loss_vfl: 1.312428 loss_bbox: 0.617404 loss_dfl: 0.475051 loss: 2.391196 eta: 1 day, 3:17:31 batch_cost: 1.0700 data_cost: 0.0020 ips: 52.3361 images/s [03/18 01:48:24] ppdet.engine INFO: Epoch: [93] [520/523] learning_rate: 0.217963 loss_vfl: 1.289068 loss_bbox: 0.603038 loss_dfl: 0.470103 loss: 2.343775 eta: 1 day, 3:17:09 batch_cost: 0.8200 data_cost: 0.0021 ips: 68.2946 images/s [03/18 01:48:35] ppdet.engine INFO: Epoch: [94] [ 0/523] learning_rate: 0.217956 loss_vfl: 1.289068 loss_bbox: 0.613612 loss_dfl: 0.481873 loss: 2.374052 eta: 1 day, 3:17:22 batch_cost: 1.1572 data_cost: 0.3031 ips: 48.3941 images/s [03/18 01:49:00] ppdet.engine INFO: Epoch: [94] [ 20/523] learning_rate: 0.217909 loss_vfl: 1.247890 loss_bbox: 0.605555 loss_dfl: 0.457916 loss: 2.327319 eta: 1 day, 3:17:13 batch_cost: 1.1137 data_cost: 0.0006 ips: 50.2838 images/s [03/18 01:49:21] ppdet.engine INFO: Epoch: [94] [ 40/523] learning_rate: 0.217863 loss_vfl: 1.320134 loss_bbox: 0.666722 loss_dfl: 0.498650 loss: 2.496767 eta: 1 day, 3:16:58 batch_cost: 0.9891 data_cost: 0.0012 ips: 56.6175 images/s [03/18 01:49:40] ppdet.engine INFO: Epoch: [94] [ 60/523] learning_rate: 0.217816 loss_vfl: 1.285716 loss_bbox: 0.635082 loss_dfl: 0.461764 loss: 2.399741 eta: 1 day, 3:16:37 batch_cost: 0.8569 data_cost: 0.0013 ips: 65.3496 images/s [03/18 01:50:00] ppdet.engine INFO: Epoch: [94] [ 80/523] learning_rate: 0.217769 loss_vfl: 1.315423 loss_bbox: 0.634347 loss_dfl: 0.483138 loss: 2.417819 eta: 1 day, 3:16:17 batch_cost: 0.8698 data_cost: 0.0028 ips: 64.3857 images/s [03/18 01:50:22] ppdet.engine INFO: Epoch: [94] [100/523] learning_rate: 0.217723 loss_vfl: 1.289176 loss_bbox: 0.600235 loss_dfl: 0.474397 loss: 2.418595 eta: 1 day, 3:16:03 batch_cost: 1.0071 data_cost: 0.0088 ips: 55.6065 images/s [03/18 01:50:45] ppdet.engine INFO: Epoch: [94] [120/523] learning_rate: 0.217676 loss_vfl: 1.253754 loss_bbox: 0.598746 loss_dfl: 0.454553 loss: 2.314050 eta: 1 day, 3:15:51 batch_cost: 1.0483 data_cost: 0.0021 ips: 53.4183 images/s [03/18 01:51:08] ppdet.engine INFO: Epoch: [94] [140/523] learning_rate: 0.217629 loss_vfl: 1.250259 loss_bbox: 0.601565 loss_dfl: 0.458972 loss: 2.269332 eta: 1 day, 3:15:40 batch_cost: 1.0800 data_cost: 0.0047 ips: 51.8535 images/s [03/18 01:51:31] ppdet.engine INFO: Epoch: [94] [160/523] learning_rate: 0.217582 loss_vfl: 1.261624 loss_bbox: 0.595264 loss_dfl: 0.470111 loss: 2.341804 eta: 1 day, 3:15:27 batch_cost: 1.0366 data_cost: 0.0009 ips: 54.0249 images/s [03/18 01:51:53] ppdet.engine INFO: Epoch: [94] [180/523] learning_rate: 0.217536 loss_vfl: 1.195679 loss_bbox: 0.581588 loss_dfl: 0.450520 loss: 2.233266 eta: 1 day, 3:15:13 batch_cost: 1.0238 data_cost: 0.0021 ips: 54.6998 images/s [03/18 01:52:12] ppdet.engine INFO: Epoch: [94] [200/523] learning_rate: 0.217489 loss_vfl: 1.265468 loss_bbox: 0.602731 loss_dfl: 0.458766 loss: 2.342962 eta: 1 day, 3:14:52 batch_cost: 0.8323 data_cost: 0.0086 ips: 67.2801 images/s [03/18 01:52:36] ppdet.engine INFO: Epoch: [94] [220/523] learning_rate: 0.217442 loss_vfl: 1.232583 loss_bbox: 0.594278 loss_dfl: 0.457528 loss: 2.324484 eta: 1 day, 3:14:43 batch_cost: 1.1378 data_cost: 0.0043 ips: 49.2185 images/s [03/18 01:52:58] ppdet.engine INFO: Epoch: [94] [240/523] learning_rate: 0.217395 loss_vfl: 1.322930 loss_bbox: 0.664168 loss_dfl: 0.502606 loss: 2.499321 eta: 1 day, 3:14:28 batch_cost: 0.9848 data_cost: 0.0047 ips: 56.8640 images/s [03/18 01:53:21] ppdet.engine INFO: Epoch: [94] [260/523] learning_rate: 0.217348 loss_vfl: 1.267357 loss_bbox: 0.633116 loss_dfl: 0.482828 loss: 2.364119 eta: 1 day, 3:14:18 batch_cost: 1.0943 data_cost: 0.0047 ips: 51.1760 images/s [03/18 01:53:43] ppdet.engine INFO: Epoch: [94] [280/523] learning_rate: 0.217302 loss_vfl: 1.184475 loss_bbox: 0.597165 loss_dfl: 0.442326 loss: 2.233408 eta: 1 day, 3:14:03 batch_cost: 0.9868 data_cost: 0.0013 ips: 56.7489 images/s [03/18 01:54:02] ppdet.engine INFO: Epoch: [94] 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0.635190 loss_dfl: 0.493436 loss: 2.443601 eta: 1 day, 3:12:36 batch_cost: 1.0446 data_cost: 0.0040 ips: 53.6111 images/s [03/18 01:55:48] ppdet.engine INFO: Epoch: [94] [400/523] learning_rate: 0.217020 loss_vfl: 1.280392 loss_bbox: 0.629582 loss_dfl: 0.469199 loss: 2.384675 eta: 1 day, 3:12:18 batch_cost: 0.9193 data_cost: 0.0024 ips: 60.9190 images/s [03/18 01:56:10] ppdet.engine INFO: Epoch: [94] [420/523] learning_rate: 0.216973 loss_vfl: 1.222882 loss_bbox: 0.588235 loss_dfl: 0.445425 loss: 2.275407 eta: 1 day, 3:12:04 batch_cost: 1.0062 data_cost: 0.0041 ips: 55.6572 images/s [03/18 01:56:32] ppdet.engine INFO: Epoch: [94] [440/523] learning_rate: 0.216927 loss_vfl: 1.224369 loss_bbox: 0.595694 loss_dfl: 0.454488 loss: 2.288642 eta: 1 day, 3:11:50 batch_cost: 1.0048 data_cost: 0.0036 ips: 55.7329 images/s [03/18 01:56:54] ppdet.engine INFO: Epoch: [94] [460/523] learning_rate: 0.216880 loss_vfl: 1.266812 loss_bbox: 0.621674 loss_dfl: 0.475208 loss: 2.365792 eta: 1 day, 3:11:36 batch_cost: 1.0244 data_cost: 0.0038 ips: 54.6652 images/s [03/18 01:57:18] ppdet.engine INFO: Epoch: [94] [480/523] learning_rate: 0.216833 loss_vfl: 1.298660 loss_bbox: 0.618111 loss_dfl: 0.477369 loss: 2.405714 eta: 1 day, 3:11:25 batch_cost: 1.0848 data_cost: 0.0013 ips: 51.6235 images/s [03/18 01:57:38] ppdet.engine INFO: Epoch: [94] [500/523] learning_rate: 0.216786 loss_vfl: 1.275788 loss_bbox: 0.604518 loss_dfl: 0.457422 loss: 2.332648 eta: 1 day, 3:11:08 batch_cost: 0.9385 data_cost: 0.0049 ips: 59.6723 images/s [03/18 01:57:56] ppdet.engine INFO: Epoch: [94] [520/523] learning_rate: 0.216739 loss_vfl: 1.343599 loss_bbox: 0.630043 loss_dfl: 0.487448 loss: 2.475518 eta: 1 day, 3:10:45 batch_cost: 0.7938 data_cost: 0.0009 ips: 70.5485 images/s [03/18 01:58:07] ppdet.engine INFO: Epoch: [95] [ 0/523] learning_rate: 0.216732 loss_vfl: 1.343792 loss_bbox: 0.668192 loss_dfl: 0.491291 loss: 2.491181 eta: 1 day, 3:10:57 batch_cost: 1.1116 data_cost: 0.3464 ips: 50.3756 images/s [03/18 01:58:30] ppdet.engine INFO: Epoch: [95] [ 20/523] learning_rate: 0.216685 loss_vfl: 1.247701 loss_bbox: 0.609604 loss_dfl: 0.455360 loss: 2.284041 eta: 1 day, 3:10:44 batch_cost: 1.0346 data_cost: 0.0024 ips: 54.1271 images/s [03/18 01:58:47] ppdet.engine INFO: Epoch: [95] [ 40/523] learning_rate: 0.216638 loss_vfl: 1.255530 loss_bbox: 0.605791 loss_dfl: 0.458704 loss: 2.339147 eta: 1 day, 3:10:20 batch_cost: 0.7725 data_cost: 0.0007 ips: 72.4963 images/s [03/18 01:59:07] ppdet.engine INFO: Epoch: [95] [ 60/523] learning_rate: 0.216591 loss_vfl: 1.287804 loss_bbox: 0.624327 loss_dfl: 0.473728 loss: 2.390871 eta: 1 day, 3:09:59 batch_cost: 0.8490 data_cost: 0.0030 ips: 65.9601 images/s [03/18 01:59:29] ppdet.engine INFO: Epoch: [95] [ 80/523] learning_rate: 0.216544 loss_vfl: 1.263856 loss_bbox: 0.619073 loss_dfl: 0.463030 loss: 2.339653 eta: 1 day, 3:09:46 batch_cost: 1.0460 data_cost: 0.0045 ips: 53.5357 images/s [03/18 01:59:52] ppdet.engine INFO: Epoch: [95] [100/523] learning_rate: 0.216497 loss_vfl: 1.324827 loss_bbox: 0.643052 loss_dfl: 0.487803 loss: 2.451409 eta: 1 day, 3:09:35 batch_cost: 1.0818 data_cost: 0.0054 ips: 51.7660 images/s [03/18 02:00:14] ppdet.engine INFO: Epoch: [95] [120/523] learning_rate: 0.216450 loss_vfl: 1.207347 loss_bbox: 0.578733 loss_dfl: 0.440740 loss: 2.202067 eta: 1 day, 3:09:22 batch_cost: 1.0223 data_cost: 0.0061 ips: 54.7764 images/s [03/18 02:00:36] ppdet.engine INFO: Epoch: [95] [140/523] learning_rate: 0.216403 loss_vfl: 1.273025 loss_bbox: 0.616737 loss_dfl: 0.448672 loss: 2.342693 eta: 1 day, 3:09:06 batch_cost: 0.9758 data_cost: 0.0077 ips: 57.3869 images/s [03/18 02:00:58] ppdet.engine INFO: Epoch: [95] [160/523] learning_rate: 0.216355 loss_vfl: 1.286183 loss_bbox: 0.614709 loss_dfl: 0.471107 loss: 2.354861 eta: 1 day, 3:08:52 batch_cost: 1.0049 data_cost: 0.0028 ips: 55.7268 images/s [03/18 02:01:21] ppdet.engine INFO: Epoch: [95] [180/523] learning_rate: 0.216308 loss_vfl: 1.228730 loss_bbox: 0.609291 loss_dfl: 0.454603 loss: 2.276465 eta: 1 day, 3:08:39 batch_cost: 1.0261 data_cost: 0.0033 ips: 54.5776 images/s [03/18 02:01:41] ppdet.engine INFO: Epoch: [95] [200/523] learning_rate: 0.216261 loss_vfl: 1.255236 loss_bbox: 0.601669 loss_dfl: 0.458786 loss: 2.314334 eta: 1 day, 3:08:21 batch_cost: 0.9342 data_cost: 0.0010 ips: 59.9418 images/s [03/18 02:02:05] ppdet.engine INFO: Epoch: [95] [220/523] learning_rate: 0.216214 loss_vfl: 1.264321 loss_bbox: 0.603780 loss_dfl: 0.458058 loss: 2.315808 eta: 1 day, 3:08:10 batch_cost: 1.0658 data_cost: 0.0042 ips: 52.5427 images/s [03/18 02:02:27] ppdet.engine INFO: Epoch: [95] [240/523] learning_rate: 0.216167 loss_vfl: 1.237652 loss_bbox: 0.609537 loss_dfl: 0.457324 loss: 2.288677 eta: 1 day, 3:07:58 batch_cost: 1.0579 data_cost: 0.0110 ips: 52.9362 images/s [03/18 02:02:49] ppdet.engine INFO: Epoch: [95] [260/523] learning_rate: 0.216120 loss_vfl: 1.266748 loss_bbox: 0.618795 loss_dfl: 0.469739 loss: 2.370794 eta: 1 day, 3:07:41 batch_cost: 0.9507 data_cost: 0.0004 ips: 58.9051 images/s [03/18 02:03:09] ppdet.engine INFO: Epoch: [95] [280/523] learning_rate: 0.216073 loss_vfl: 1.264661 loss_bbox: 0.585437 loss_dfl: 0.449508 loss: 2.314764 eta: 1 day, 3:07:22 batch_cost: 0.8998 data_cost: 0.0026 ips: 62.2393 images/s [03/18 02:03:25] ppdet.engine INFO: Epoch: [95] [300/523] learning_rate: 0.216026 loss_vfl: 1.204199 loss_bbox: 0.552048 loss_dfl: 0.431397 loss: 2.158393 eta: 1 day, 3:06:55 batch_cost: 0.7153 data_cost: 0.0024 ips: 78.2893 images/s [03/18 02:03:46] ppdet.engine INFO: Epoch: [95] [320/523] learning_rate: 0.215978 loss_vfl: 1.259629 loss_bbox: 0.605034 loss_dfl: 0.443326 loss: 2.274008 eta: 1 day, 3:06:37 batch_cost: 0.9186 data_cost: 0.0017 ips: 60.9617 images/s [03/18 02:04:10] ppdet.engine INFO: Epoch: [95] [340/523] learning_rate: 0.215931 loss_vfl: 1.279370 loss_bbox: 0.630718 loss_dfl: 0.478102 loss: 2.375176 eta: 1 day, 3:06:26 batch_cost: 1.0774 data_cost: 0.0035 ips: 51.9770 images/s [03/18 02:04:32] ppdet.engine INFO: Epoch: [95] [360/523] learning_rate: 0.215884 loss_vfl: 1.221041 loss_bbox: 0.602861 loss_dfl: 0.459698 loss: 2.298669 eta: 1 day, 3:06:12 batch_cost: 1.0104 data_cost: 0.0039 ips: 55.4263 images/s [03/18 02:04:53] ppdet.engine INFO: Epoch: [95] [380/523] learning_rate: 0.215837 loss_vfl: 1.324964 loss_bbox: 0.630189 loss_dfl: 0.476427 loss: 2.424856 eta: 1 day, 3:05:55 batch_cost: 0.9401 data_cost: 0.0037 ips: 59.5658 images/s [03/18 02:05:13] ppdet.engine INFO: Epoch: [95] [400/523] learning_rate: 0.215790 loss_vfl: 1.225725 loss_bbox: 0.581128 loss_dfl: 0.441463 loss: 2.239456 eta: 1 day, 3:05:37 batch_cost: 0.9157 data_cost: 0.0132 ips: 61.1561 images/s [03/18 02:05:37] ppdet.engine INFO: Epoch: [95] [420/523] learning_rate: 0.215742 loss_vfl: 1.218300 loss_bbox: 0.578525 loss_dfl: 0.450950 loss: 2.259151 eta: 1 day, 3:05:27 batch_cost: 1.1177 data_cost: 0.0031 ips: 50.1042 images/s [03/18 02:05:57] ppdet.engine INFO: Epoch: [95] [440/523] learning_rate: 0.215695 loss_vfl: 1.232346 loss_bbox: 0.617597 loss_dfl: 0.482282 loss: 2.350956 eta: 1 day, 3:05:08 batch_cost: 0.8975 data_cost: 0.0049 ips: 62.3953 images/s [03/18 02:06:21] ppdet.engine INFO: Epoch: [95] [460/523] learning_rate: 0.215648 loss_vfl: 1.294976 loss_bbox: 0.625068 loss_dfl: 0.472599 loss: 2.391958 eta: 1 day, 3:04:57 batch_cost: 1.0711 data_cost: 0.0036 ips: 52.2811 images/s [03/18 02:06:42] ppdet.engine INFO: Epoch: [95] [480/523] learning_rate: 0.215601 loss_vfl: 1.301510 loss_bbox: 0.625003 loss_dfl: 0.472471 loss: 2.391045 eta: 1 day, 3:04:41 batch_cost: 0.9625 data_cost: 0.0121 ips: 58.1795 images/s [03/18 02:07:03] ppdet.engine INFO: Epoch: [95] [500/523] learning_rate: 0.215553 loss_vfl: 1.237468 loss_bbox: 0.614610 loss_dfl: 0.465160 loss: 2.350043 eta: 1 day, 3:04:25 batch_cost: 0.9848 data_cost: 0.0046 ips: 56.8663 images/s [03/18 02:07:22] ppdet.engine INFO: Epoch: [95] [520/523] learning_rate: 0.215506 loss_vfl: 1.221693 loss_bbox: 0.592250 loss_dfl: 0.450111 loss: 2.309886 eta: 1 day, 3:04:04 batch_cost: 0.8476 data_cost: 0.0017 ips: 66.0659 images/s [03/18 02:07:34] ppdet.engine INFO: Epoch: [96] [ 0/523] learning_rate: 0.215499 loss_vfl: 1.221121 loss_bbox: 0.585205 loss_dfl: 0.450856 loss: 2.309886 eta: 1 day, 3:04:19 batch_cost: 1.2617 data_cost: 0.2658 ips: 44.3831 images/s [03/18 02:07:51] ppdet.engine INFO: Epoch: [96] [ 20/523] learning_rate: 0.215452 loss_vfl: 1.221696 loss_bbox: 0.563148 loss_dfl: 0.440300 loss: 2.223493 eta: 1 day, 3:03:55 batch_cost: 0.7858 data_cost: 0.0047 ips: 71.2688 images/s [03/18 02:08:12] ppdet.engine INFO: Epoch: [96] [ 40/523] learning_rate: 0.215404 loss_vfl: 1.326217 loss_bbox: 0.644096 loss_dfl: 0.486216 loss: 2.480688 eta: 1 day, 3:03:38 batch_cost: 0.9438 data_cost: 0.0012 ips: 59.3333 images/s [03/18 02:08:35] ppdet.engine INFO: Epoch: [96] [ 60/523] learning_rate: 0.215357 loss_vfl: 1.250554 loss_bbox: 0.621883 loss_dfl: 0.469917 loss: 2.311220 eta: 1 day, 3:03:26 batch_cost: 1.0600 data_cost: 0.0011 ips: 52.8297 images/s [03/18 02:08:59] ppdet.engine INFO: Epoch: [96] [ 80/523] learning_rate: 0.215310 loss_vfl: 1.272543 loss_bbox: 0.609147 loss_dfl: 0.468275 loss: 2.359508 eta: 1 day, 3:03:15 batch_cost: 1.0836 data_cost: 0.0033 ips: 51.6782 images/s [03/18 02:09:18] ppdet.engine INFO: Epoch: [96] [100/523] learning_rate: 0.215262 loss_vfl: 1.318826 loss_bbox: 0.636996 loss_dfl: 0.487757 loss: 2.394427 eta: 1 day, 3:02:55 batch_cost: 0.8622 data_cost: 0.0030 ips: 64.9524 images/s [03/18 02:09:45] ppdet.engine INFO: Epoch: [96] [120/523] learning_rate: 0.215215 loss_vfl: 1.270593 loss_bbox: 0.628469 loss_dfl: 0.476604 loss: 2.396637 eta: 1 day, 3:02:49 batch_cost: 1.2220 data_cost: 0.0009 ips: 45.8264 images/s [03/18 02:10:06] ppdet.engine INFO: Epoch: [96] [140/523] learning_rate: 0.215167 loss_vfl: 1.249454 loss_bbox: 0.596957 loss_dfl: 0.453938 loss: 2.306545 eta: 1 day, 3:02:35 batch_cost: 1.0130 data_cost: 0.0011 ips: 55.2806 images/s [03/18 02:10:29] ppdet.engine INFO: Epoch: [96] [160/523] learning_rate: 0.215120 loss_vfl: 1.292129 loss_bbox: 0.628392 loss_dfl: 0.482549 loss: 2.404538 eta: 1 day, 3:02:22 batch_cost: 1.0252 data_cost: 0.0049 ips: 54.6250 images/s [03/18 02:10:52] ppdet.engine INFO: Epoch: [96] [180/523] learning_rate: 0.215073 loss_vfl: 1.242092 loss_bbox: 0.604225 loss_dfl: 0.469000 loss: 2.328356 eta: 1 day, 3:02:10 batch_cost: 1.0651 data_cost: 0.0023 ips: 52.5760 images/s [03/18 02:11:15] ppdet.engine INFO: Epoch: [96] [200/523] learning_rate: 0.215025 loss_vfl: 1.161849 loss_bbox: 0.586412 loss_dfl: 0.439363 loss: 2.170980 eta: 1 day, 3:01:59 batch_cost: 1.0971 data_cost: 0.0044 ips: 51.0444 images/s [03/18 02:11:37] ppdet.engine INFO: Epoch: [96] [220/523] learning_rate: 0.214978 loss_vfl: 1.180925 loss_bbox: 0.556331 loss_dfl: 0.448591 loss: 2.176537 eta: 1 day, 3:01:45 batch_cost: 1.0053 data_cost: 0.0013 ips: 55.7062 images/s [03/18 02:11:59] ppdet.engine INFO: Epoch: [96] [240/523] learning_rate: 0.214930 loss_vfl: 1.244452 loss_bbox: 0.594414 loss_dfl: 0.454786 loss: 2.309102 eta: 1 day, 3:01:30 batch_cost: 0.9844 data_cost: 0.0015 ips: 56.8898 images/s [03/18 02:12:16] ppdet.engine INFO: Epoch: [96] [260/523] learning_rate: 0.214883 loss_vfl: 1.236319 loss_bbox: 0.615373 loss_dfl: 0.470174 loss: 2.287077 eta: 1 day, 3:01:05 batch_cost: 0.7569 data_cost: 0.0010 ips: 73.9866 images/s [03/18 02:12:37] ppdet.engine INFO: Epoch: [96] [280/523] learning_rate: 0.214835 loss_vfl: 1.247395 loss_bbox: 0.589013 loss_dfl: 0.447355 loss: 2.291132 eta: 1 day, 3:00:47 batch_cost: 0.9326 data_cost: 0.0049 ips: 60.0457 images/s [03/18 02:12:59] ppdet.engine INFO: Epoch: [96] [300/523] learning_rate: 0.214788 loss_vfl: 1.270113 loss_bbox: 0.628817 loss_dfl: 0.454411 loss: 2.364941 eta: 1 day, 3:00:32 batch_cost: 0.9939 data_cost: 0.0016 ips: 56.3448 images/s [03/18 02:13:21] ppdet.engine INFO: Epoch: [96] [320/523] learning_rate: 0.214740 loss_vfl: 1.299518 loss_bbox: 0.634501 loss_dfl: 0.479370 loss: 2.390724 eta: 1 day, 3:00:19 batch_cost: 1.0393 data_cost: 0.0059 ips: 53.8833 images/s [03/18 02:13:44] ppdet.engine INFO: Epoch: [96] [340/523] learning_rate: 0.214693 loss_vfl: 1.233955 loss_bbox: 0.579579 loss_dfl: 0.454288 loss: 2.287098 eta: 1 day, 3:00:06 batch_cost: 1.0230 data_cost: 0.0052 ips: 54.7398 images/s [03/18 02:14:07] ppdet.engine INFO: Epoch: [96] [360/523] learning_rate: 0.214645 loss_vfl: 1.251697 loss_bbox: 0.600107 loss_dfl: 0.456884 loss: 2.253617 eta: 1 day, 2:59:55 batch_cost: 1.0857 data_cost: 0.0016 ips: 51.5812 images/s [03/18 02:14:30] ppdet.engine INFO: Epoch: [96] [380/523] learning_rate: 0.214598 loss_vfl: 1.253491 loss_bbox: 0.596810 loss_dfl: 0.469751 loss: 2.320742 eta: 1 day, 2:59:42 batch_cost: 1.0499 data_cost: 0.0115 ips: 53.3396 images/s [03/18 02:14:51] ppdet.engine INFO: Epoch: [96] [400/523] learning_rate: 0.214550 loss_vfl: 1.283921 loss_bbox: 0.573169 loss_dfl: 0.446249 loss: 2.314715 eta: 1 day, 2:59:26 batch_cost: 0.9623 data_cost: 0.0057 ips: 58.1953 images/s [03/18 02:15:13] ppdet.engine INFO: Epoch: [96] [420/523] learning_rate: 0.214503 loss_vfl: 1.291131 loss_bbox: 0.609878 loss_dfl: 0.472468 loss: 2.389578 eta: 1 day, 2:59:12 batch_cost: 1.0317 data_cost: 0.0057 ips: 54.2805 images/s [03/18 02:15:34] ppdet.engine INFO: Epoch: [96] [440/523] learning_rate: 0.214455 loss_vfl: 1.271353 loss_bbox: 0.607790 loss_dfl: 0.469265 loss: 2.339121 eta: 1 day, 2:58:58 batch_cost: 0.9989 data_cost: 0.0035 ips: 56.0614 images/s [03/18 02:15:58] ppdet.engine INFO: Epoch: [96] [460/523] learning_rate: 0.214408 loss_vfl: 1.261705 loss_bbox: 0.612605 loss_dfl: 0.474077 loss: 2.346206 eta: 1 day, 2:58:48 batch_cost: 1.1121 data_cost: 0.0046 ips: 50.3552 images/s [03/18 02:16:20] ppdet.engine INFO: Epoch: [96] [480/523] learning_rate: 0.214360 loss_vfl: 1.281785 loss_bbox: 0.619076 loss_dfl: 0.478933 loss: 2.354947 eta: 1 day, 2:58:33 batch_cost: 0.9984 data_cost: 0.0021 ips: 56.0872 images/s [03/18 02:16:40] ppdet.engine INFO: Epoch: [96] [500/523] learning_rate: 0.214313 loss_vfl: 1.207947 loss_bbox: 0.574546 loss_dfl: 0.429885 loss: 2.208101 eta: 1 day, 2:58:14 batch_cost: 0.8870 data_cost: 0.0030 ips: 63.1308 images/s [03/18 02:16:55] ppdet.engine INFO: Epoch: [96] [520/523] learning_rate: 0.214265 loss_vfl: 1.211689 loss_bbox: 0.628087 loss_dfl: 0.465571 loss: 2.293469 eta: 1 day, 2:57:44 batch_cost: 0.6344 data_cost: 0.0016 ips: 88.2678 images/s [03/18 02:17:06] ppdet.engine INFO: Epoch: [97] [ 0/523] learning_rate: 0.214258 loss_vfl: 1.261830 loss_bbox: 0.636064 loss_dfl: 0.466319 loss: 2.347006 eta: 1 day, 2:57:55 batch_cost: 1.0185 data_cost: 0.2680 ips: 54.9833 images/s [03/18 02:17:29] ppdet.engine INFO: Epoch: [97] [ 20/523] learning_rate: 0.214210 loss_vfl: 1.302638 loss_bbox: 0.629949 loss_dfl: 0.469206 loss: 2.383258 eta: 1 day, 2:57:43 batch_cost: 1.0558 data_cost: 0.0029 ips: 53.0409 images/s [03/18 02:17:51] ppdet.engine INFO: Epoch: [97] [ 40/523] learning_rate: 0.214162 loss_vfl: 1.264384 loss_bbox: 0.608759 loss_dfl: 0.476541 loss: 2.341120 eta: 1 day, 2:57:28 batch_cost: 0.9983 data_cost: 0.0015 ips: 56.0968 images/s [03/18 02:18:15] ppdet.engine INFO: Epoch: [97] [ 60/523] learning_rate: 0.214115 loss_vfl: 1.256037 loss_bbox: 0.616643 loss_dfl: 0.470589 loss: 2.328837 eta: 1 day, 2:57:19 batch_cost: 1.1509 data_cost: 0.0023 ips: 48.6585 images/s [03/18 02:18:37] ppdet.engine INFO: Epoch: [97] [ 80/523] learning_rate: 0.214067 loss_vfl: 1.229070 loss_bbox: 0.602341 loss_dfl: 0.463310 loss: 2.310595 eta: 1 day, 2:57:06 batch_cost: 1.0311 data_cost: 0.0024 ips: 54.3100 images/s [03/18 02:18:58] ppdet.engine INFO: Epoch: [97] [100/523] learning_rate: 0.214020 loss_vfl: 1.319139 loss_bbox: 0.612381 loss_dfl: 0.478415 loss: 2.418979 eta: 1 day, 2:56:51 batch_cost: 0.9835 data_cost: 0.0043 ips: 56.9417 images/s [03/18 02:19:23] ppdet.engine INFO: Epoch: [97] [120/523] learning_rate: 0.213972 loss_vfl: 1.253403 loss_bbox: 0.586246 loss_dfl: 0.445451 loss: 2.259438 eta: 1 day, 2:56:42 batch_cost: 1.1466 data_cost: 0.0085 ips: 48.8414 images/s [03/18 02:19:44] ppdet.engine INFO: Epoch: [97] [140/523] learning_rate: 0.213924 loss_vfl: 1.231280 loss_bbox: 0.603086 loss_dfl: 0.455166 loss: 2.314461 eta: 1 day, 2:56:25 batch_cost: 0.9367 data_cost: 0.0034 ips: 59.7835 images/s [03/18 02:20:07] ppdet.engine INFO: Epoch: [97] [160/523] learning_rate: 0.213876 loss_vfl: 1.276925 loss_bbox: 0.609092 loss_dfl: 0.461052 loss: 2.362820 eta: 1 day, 2:56:13 batch_cost: 1.0848 data_cost: 0.0018 ips: 51.6226 images/s [03/18 02:20:28] ppdet.engine INFO: Epoch: [97] [180/523] learning_rate: 0.213829 loss_vfl: 1.314796 loss_bbox: 0.619856 loss_dfl: 0.463527 loss: 2.388860 eta: 1 day, 2:55:58 batch_cost: 0.9782 data_cost: 0.0016 ips: 57.2477 images/s [03/18 02:20:50] ppdet.engine INFO: Epoch: [97] [200/523] learning_rate: 0.213781 loss_vfl: 1.209629 loss_bbox: 0.569193 loss_dfl: 0.448698 loss: 2.209809 eta: 1 day, 2:55:42 batch_cost: 0.9798 data_cost: 0.0031 ips: 57.1566 images/s [03/18 02:21:12] ppdet.engine INFO: Epoch: [97] [220/523] learning_rate: 0.213733 loss_vfl: 1.297295 loss_bbox: 0.603371 loss_dfl: 0.473677 loss: 2.378318 eta: 1 day, 2:55:29 batch_cost: 1.0503 data_cost: 0.0104 ips: 53.3202 images/s [03/18 02:21:31] ppdet.engine INFO: Epoch: [97] [240/523] learning_rate: 0.213685 loss_vfl: 1.286585 loss_bbox: 0.639018 loss_dfl: 0.476067 loss: 2.370928 eta: 1 day, 2:55:08 batch_cost: 0.8344 data_cost: 0.0012 ips: 67.1180 images/s [03/18 02:21:51] ppdet.engine INFO: Epoch: [97] [260/523] learning_rate: 0.213638 loss_vfl: 1.317776 loss_bbox: 0.614612 loss_dfl: 0.485354 loss: 2.436297 eta: 1 day, 2:54:48 batch_cost: 0.8714 data_cost: 0.0110 ips: 64.2681 images/s [03/18 02:22:13] ppdet.engine INFO: Epoch: [97] [280/523] learning_rate: 0.213590 loss_vfl: 1.252834 loss_bbox: 0.604352 loss_dfl: 0.469039 loss: 2.298858 eta: 1 day, 2:54:35 batch_cost: 1.0385 data_cost: 0.0018 ips: 53.9244 images/s [03/18 02:22:35] ppdet.engine INFO: Epoch: [97] 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0.604639 loss_dfl: 0.453357 loss: 2.317090 eta: 1 day, 2:53:21 batch_cost: 0.9298 data_cost: 0.0050 ips: 60.2296 images/s [03/18 02:24:26] ppdet.engine INFO: Epoch: [97] [400/523] learning_rate: 0.213303 loss_vfl: 1.283475 loss_bbox: 0.566570 loss_dfl: 0.463834 loss: 2.315203 eta: 1 day, 2:53:08 batch_cost: 1.0547 data_cost: 0.0021 ips: 53.0976 images/s [03/18 02:24:49] ppdet.engine INFO: Epoch: [97] [420/523] learning_rate: 0.213255 loss_vfl: 1.241315 loss_bbox: 0.586773 loss_dfl: 0.443813 loss: 2.286626 eta: 1 day, 2:52:57 batch_cost: 1.0923 data_cost: 0.0030 ips: 51.2671 images/s [03/18 02:25:11] ppdet.engine INFO: Epoch: [97] [440/523] learning_rate: 0.213207 loss_vfl: 1.340446 loss_bbox: 0.623814 loss_dfl: 0.485228 loss: 2.434098 eta: 1 day, 2:52:42 batch_cost: 1.0008 data_cost: 0.0033 ips: 55.9526 images/s [03/18 02:25:33] ppdet.engine INFO: Epoch: [97] [460/523] learning_rate: 0.213159 loss_vfl: 1.243406 loss_bbox: 0.616417 loss_dfl: 0.467866 loss: 2.343214 eta: 1 day, 2:52:28 batch_cost: 1.0076 data_cost: 0.0063 ips: 55.5786 images/s [03/18 02:25:51] ppdet.engine INFO: Epoch: [97] [480/523] learning_rate: 0.213111 loss_vfl: 1.236074 loss_bbox: 0.569132 loss_dfl: 0.443286 loss: 2.229036 eta: 1 day, 2:52:07 batch_cost: 0.8448 data_cost: 0.0030 ips: 66.2879 images/s [03/18 02:26:10] ppdet.engine INFO: Epoch: [97] [500/523] learning_rate: 0.213064 loss_vfl: 1.176903 loss_bbox: 0.556506 loss_dfl: 0.423909 loss: 2.163018 eta: 1 day, 2:51:47 batch_cost: 0.8916 data_cost: 0.0008 ips: 62.8098 images/s [03/18 02:26:27] ppdet.engine INFO: Epoch: [97] [520/523] learning_rate: 0.213016 loss_vfl: 1.232207 loss_bbox: 0.594988 loss_dfl: 0.452294 loss: 2.270560 eta: 1 day, 2:51:20 batch_cost: 0.7018 data_cost: 0.0015 ips: 79.7987 images/s [03/18 02:26:39] ppdet.engine INFO: Epoch: [98] [ 0/523] learning_rate: 0.213008 loss_vfl: 1.232207 loss_bbox: 0.588981 loss_dfl: 0.452294 loss: 2.270560 eta: 1 day, 2:51:35 batch_cost: 1.1718 data_cost: 0.2430 ips: 47.7890 images/s [03/18 02:27:05] ppdet.engine INFO: Epoch: [98] [ 20/523] learning_rate: 0.212961 loss_vfl: 1.293280 loss_bbox: 0.640226 loss_dfl: 0.483273 loss: 2.409647 eta: 1 day, 2:51:27 batch_cost: 1.1707 data_cost: 0.0026 ips: 47.8352 images/s [03/18 02:27:25] ppdet.engine INFO: Epoch: [98] [ 40/523] learning_rate: 0.212913 loss_vfl: 1.246667 loss_bbox: 0.612455 loss_dfl: 0.463207 loss: 2.295824 eta: 1 day, 2:51:07 batch_cost: 0.8552 data_cost: 0.0014 ips: 65.4847 images/s [03/18 02:27:48] ppdet.engine INFO: Epoch: [98] [ 60/523] learning_rate: 0.212865 loss_vfl: 1.281965 loss_bbox: 0.643472 loss_dfl: 0.477689 loss: 2.396757 eta: 1 day, 2:50:53 batch_cost: 1.0209 data_cost: 0.0030 ips: 54.8548 images/s [03/18 02:28:12] ppdet.engine INFO: Epoch: [98] [ 80/523] learning_rate: 0.212817 loss_vfl: 1.277232 loss_bbox: 0.609406 loss_dfl: 0.459657 loss: 2.318012 eta: 1 day, 2:50:42 batch_cost: 1.0957 data_cost: 0.0008 ips: 51.1093 images/s [03/18 02:28:34] ppdet.engine INFO: Epoch: [98] [100/523] learning_rate: 0.212769 loss_vfl: 1.314308 loss_bbox: 0.622430 loss_dfl: 0.470356 loss: 2.426563 eta: 1 day, 2:50:26 batch_cost: 0.9759 data_cost: 0.0006 ips: 57.3831 images/s [03/18 02:28:56] ppdet.engine INFO: Epoch: [98] [120/523] learning_rate: 0.212721 loss_vfl: 1.283588 loss_bbox: 0.632302 loss_dfl: 0.469716 loss: 2.371294 eta: 1 day, 2:50:12 batch_cost: 1.0303 data_cost: 0.0034 ips: 54.3515 images/s [03/18 02:29:22] ppdet.engine INFO: Epoch: [98] [140/523] learning_rate: 0.212673 loss_vfl: 1.283461 loss_bbox: 0.622543 loss_dfl: 0.473657 loss: 2.388405 eta: 1 day, 2:50:04 batch_cost: 1.1475 data_cost: 0.0015 ips: 48.8028 images/s [03/18 02:29:42] ppdet.engine INFO: Epoch: [98] [160/523] learning_rate: 0.212625 loss_vfl: 1.306468 loss_bbox: 0.630851 loss_dfl: 0.479673 loss: 2.458922 eta: 1 day, 2:49:45 batch_cost: 0.9033 data_cost: 0.0114 ips: 61.9929 images/s [03/18 02:30:02] ppdet.engine INFO: Epoch: [98] [180/523] learning_rate: 0.212577 loss_vfl: 1.230532 loss_bbox: 0.585657 loss_dfl: 0.434121 loss: 2.238142 eta: 1 day, 2:49:25 batch_cost: 0.8773 data_cost: 0.0013 ips: 63.8339 images/s [03/18 02:30:24] ppdet.engine INFO: Epoch: [98] [200/523] learning_rate: 0.212529 loss_vfl: 1.280664 loss_bbox: 0.595459 loss_dfl: 0.458166 loss: 2.351009 eta: 1 day, 2:49:11 batch_cost: 1.0305 data_cost: 0.0008 ips: 54.3402 images/s [03/18 02:30:42] ppdet.engine INFO: Epoch: [98] [220/523] learning_rate: 0.212481 loss_vfl: 1.298660 loss_bbox: 0.619577 loss_dfl: 0.467720 loss: 2.367521 eta: 1 day, 2:48:48 batch_cost: 0.7913 data_cost: 0.0027 ips: 70.7683 images/s [03/18 02:31:03] ppdet.engine INFO: Epoch: [98] [240/523] learning_rate: 0.212432 loss_vfl: 1.270723 loss_bbox: 0.598355 loss_dfl: 0.467669 loss: 2.348656 eta: 1 day, 2:48:33 batch_cost: 0.9984 data_cost: 0.0017 ips: 56.0908 images/s [03/18 02:31:26] ppdet.engine INFO: Epoch: [98] [260/523] learning_rate: 0.212384 loss_vfl: 1.300930 loss_bbox: 0.635103 loss_dfl: 0.478202 loss: 2.429526 eta: 1 day, 2:48:20 batch_cost: 1.0380 data_cost: 0.0024 ips: 53.9507 images/s [03/18 02:31:49] ppdet.engine INFO: Epoch: [98] [280/523] learning_rate: 0.212336 loss_vfl: 1.284192 loss_bbox: 0.595326 loss_dfl: 0.461073 loss: 2.322640 eta: 1 day, 2:48:07 batch_cost: 1.0452 data_cost: 0.0011 ips: 53.5764 images/s [03/18 02:32:11] ppdet.engine INFO: Epoch: [98] [300/523] learning_rate: 0.212288 loss_vfl: 1.297729 loss_bbox: 0.646188 loss_dfl: 0.504032 loss: 2.449208 eta: 1 day, 2:47:53 batch_cost: 1.0269 data_cost: 0.0018 ips: 54.5354 images/s [03/18 02:32:35] ppdet.engine INFO: Epoch: [98] [320/523] learning_rate: 0.212240 loss_vfl: 1.233677 loss_bbox: 0.592260 loss_dfl: 0.452279 loss: 2.273949 eta: 1 day, 2:47:42 batch_cost: 1.0875 data_cost: 0.0073 ips: 51.4920 images/s [03/18 02:32:56] ppdet.engine INFO: Epoch: [98] [340/523] learning_rate: 0.212192 loss_vfl: 1.273344 loss_bbox: 0.620025 loss_dfl: 0.461444 loss: 2.329708 eta: 1 day, 2:47:25 batch_cost: 0.9484 data_cost: 0.0011 ips: 59.0453 images/s [03/18 02:33:19] ppdet.engine INFO: Epoch: [98] [360/523] learning_rate: 0.212144 loss_vfl: 1.258501 loss_bbox: 0.614157 loss_dfl: 0.470415 loss: 2.364144 eta: 1 day, 2:47:10 batch_cost: 1.0118 data_cost: 0.0019 ips: 55.3444 images/s [03/18 02:33:42] ppdet.engine INFO: Epoch: [98] [380/523] learning_rate: 0.212096 loss_vfl: 1.261741 loss_bbox: 0.617762 loss_dfl: 0.476039 loss: 2.378798 eta: 1 day, 2:46:58 batch_cost: 1.0611 data_cost: 0.0019 ips: 52.7763 images/s [03/18 02:34:05] ppdet.engine INFO: Epoch: [98] [400/523] learning_rate: 0.212048 loss_vfl: 1.205057 loss_bbox: 0.601457 loss_dfl: 0.450614 loss: 2.309525 eta: 1 day, 2:46:47 batch_cost: 1.0990 data_cost: 0.0054 ips: 50.9545 images/s [03/18 02:34:26] ppdet.engine INFO: Epoch: [98] [420/523] learning_rate: 0.211999 loss_vfl: 1.287697 loss_bbox: 0.609004 loss_dfl: 0.465231 loss: 2.372076 eta: 1 day, 2:46:31 batch_cost: 0.9743 data_cost: 0.0021 ips: 57.4772 images/s [03/18 02:34:46] ppdet.engine INFO: Epoch: [98] [440/523] learning_rate: 0.211951 loss_vfl: 1.268453 loss_bbox: 0.568554 loss_dfl: 0.450240 loss: 2.276381 eta: 1 day, 2:46:12 batch_cost: 0.9030 data_cost: 0.0040 ips: 62.0121 images/s [03/18 02:35:05] ppdet.engine INFO: Epoch: [98] [460/523] learning_rate: 0.211903 loss_vfl: 1.297215 loss_bbox: 0.617052 loss_dfl: 0.474639 loss: 2.374085 eta: 1 day, 2:45:53 batch_cost: 0.9004 data_cost: 0.0021 ips: 62.1967 images/s [03/18 02:35:24] ppdet.engine INFO: Epoch: [98] [480/523] learning_rate: 0.211855 loss_vfl: 1.197547 loss_bbox: 0.584024 loss_dfl: 0.440413 loss: 2.214173 eta: 1 day, 2:45:31 batch_cost: 0.8202 data_cost: 0.0054 ips: 68.2758 images/s [03/18 02:35:47] ppdet.engine INFO: Epoch: [98] [500/523] learning_rate: 0.211807 loss_vfl: 1.262900 loss_bbox: 0.613559 loss_dfl: 0.459290 loss: 2.319027 eta: 1 day, 2:45:16 batch_cost: 0.9858 data_cost: 0.0013 ips: 56.8043 images/s [03/18 02:36:05] ppdet.engine INFO: Epoch: [98] [520/523] learning_rate: 0.211758 loss_vfl: 1.257603 loss_bbox: 0.612537 loss_dfl: 0.459205 loss: 2.320086 eta: 1 day, 2:44:54 batch_cost: 0.8303 data_cost: 0.0010 ips: 67.4470 images/s [03/18 02:36:16] ppdet.engine INFO: Epoch: [99] [ 0/523] learning_rate: 0.211751 loss_vfl: 1.243800 loss_bbox: 0.621042 loss_dfl: 0.456924 loss: 2.298642 eta: 1 day, 2:45:06 batch_cost: 1.1853 data_cost: 0.4283 ips: 47.2453 images/s [03/18 02:36:40] ppdet.engine INFO: Epoch: [99] [ 20/523] learning_rate: 0.211703 loss_vfl: 1.351752 loss_bbox: 0.635650 loss_dfl: 0.494937 loss: 2.493569 eta: 1 day, 2:44:51 batch_cost: 1.0002 data_cost: 0.0021 ips: 55.9888 images/s [03/18 02:37:03] ppdet.engine INFO: Epoch: [99] [ 40/523] learning_rate: 0.211655 loss_vfl: 1.230315 loss_bbox: 0.601935 loss_dfl: 0.448250 loss: 2.243191 eta: 1 day, 2:44:37 batch_cost: 1.0254 data_cost: 0.0023 ips: 54.6135 images/s [03/18 02:37:25] ppdet.engine INFO: Epoch: [99] [ 60/523] learning_rate: 0.211606 loss_vfl: 1.304421 loss_bbox: 0.595882 loss_dfl: 0.467590 loss: 2.383863 eta: 1 day, 2:44:23 batch_cost: 1.0343 data_cost: 0.0029 ips: 54.1419 images/s [03/18 02:37:49] ppdet.engine INFO: Epoch: [99] [ 80/523] learning_rate: 0.211558 loss_vfl: 1.218986 loss_bbox: 0.602417 loss_dfl: 0.458001 loss: 2.274579 eta: 1 day, 2:44:13 batch_cost: 1.1178 data_cost: 0.0044 ips: 50.0993 images/s [03/18 02:38:13] ppdet.engine INFO: Epoch: [99] [100/523] learning_rate: 0.211510 loss_vfl: 1.254760 loss_bbox: 0.599680 loss_dfl: 0.468437 loss: 2.301245 eta: 1 day, 2:44:01 batch_cost: 1.0751 data_cost: 0.0028 ips: 52.0874 images/s [03/18 02:38:34] ppdet.engine INFO: Epoch: [99] [120/523] learning_rate: 0.211462 loss_vfl: 1.222294 loss_bbox: 0.559908 loss_dfl: 0.431829 loss: 2.205865 eta: 1 day, 2:43:46 batch_cost: 1.0008 data_cost: 0.0035 ips: 55.9571 images/s [03/18 02:38:56] ppdet.engine INFO: Epoch: [99] [140/523] learning_rate: 0.211413 loss_vfl: 1.207822 loss_bbox: 0.588293 loss_dfl: 0.447767 loss: 2.233288 eta: 1 day, 2:43:32 batch_cost: 1.0099 data_cost: 0.0022 ips: 55.4501 images/s [03/18 02:39:18] ppdet.engine INFO: Epoch: [99] [160/523] learning_rate: 0.211365 loss_vfl: 1.264825 loss_bbox: 0.604764 loss_dfl: 0.453698 loss: 2.301301 eta: 1 day, 2:43:16 batch_cost: 0.9689 data_cost: 0.0097 ips: 57.8001 images/s [03/18 02:39:36] ppdet.engine INFO: Epoch: [99] [180/523] learning_rate: 0.211317 loss_vfl: 1.254869 loss_bbox: 0.623051 loss_dfl: 0.456589 loss: 2.363125 eta: 1 day, 2:42:54 batch_cost: 0.8305 data_cost: 0.0025 ips: 67.4328 images/s [03/18 02:39:54] ppdet.engine INFO: Epoch: [99] [200/523] learning_rate: 0.211268 loss_vfl: 1.312898 loss_bbox: 0.632958 loss_dfl: 0.487327 loss: 2.448813 eta: 1 day, 2:42:31 batch_cost: 0.8134 data_cost: 0.0044 ips: 68.8467 images/s [03/18 02:40:19] ppdet.engine INFO: Epoch: [99] [220/523] learning_rate: 0.211220 loss_vfl: 1.266911 loss_bbox: 0.616607 loss_dfl: 0.466818 loss: 2.355480 eta: 1 day, 2:42:22 batch_cost: 1.1404 data_cost: 0.0020 ips: 49.1054 images/s [03/18 02:40:39] ppdet.engine INFO: Epoch: [99] [240/523] learning_rate: 0.211171 loss_vfl: 1.300516 loss_bbox: 0.613073 loss_dfl: 0.469439 loss: 2.381183 eta: 1 day, 2:42:01 batch_cost: 0.8446 data_cost: 0.0041 ips: 66.3052 images/s [03/18 02:41:00] ppdet.engine INFO: Epoch: [99] [260/523] learning_rate: 0.211123 loss_vfl: 1.247534 loss_bbox: 0.607113 loss_dfl: 0.467169 loss: 2.348831 eta: 1 day, 2:41:44 batch_cost: 0.9582 data_cost: 0.0024 ips: 58.4417 images/s [03/18 02:41:25] ppdet.engine INFO: Epoch: [99] [280/523] learning_rate: 0.211075 loss_vfl: 1.235578 loss_bbox: 0.610055 loss_dfl: 0.460390 loss: 2.336706 eta: 1 day, 2:41:34 batch_cost: 1.1282 data_cost: 0.0023 ips: 49.6354 images/s [03/18 02:41:47] ppdet.engine INFO: Epoch: [99] [300/523] learning_rate: 0.211026 loss_vfl: 1.278154 loss_bbox: 0.611194 loss_dfl: 0.470846 loss: 2.376507 eta: 1 day, 2:41:18 batch_cost: 0.9675 data_cost: 0.0119 ips: 57.8801 images/s [03/18 02:42:09] ppdet.engine INFO: Epoch: [99] [320/523] learning_rate: 0.210978 loss_vfl: 1.282850 loss_bbox: 0.630641 loss_dfl: 0.472573 loss: 2.346047 eta: 1 day, 2:41:05 batch_cost: 1.0352 data_cost: 0.0031 ips: 54.0980 images/s [03/18 02:42:31] ppdet.engine INFO: Epoch: [99] [340/523] learning_rate: 0.210929 loss_vfl: 1.302321 loss_bbox: 0.651888 loss_dfl: 0.489745 loss: 2.419766 eta: 1 day, 2:40:50 batch_cost: 1.0106 data_cost: 0.0007 ips: 55.4106 images/s [03/18 02:42:53] ppdet.engine INFO: Epoch: [99] [360/523] learning_rate: 0.210881 loss_vfl: 1.280924 loss_bbox: 0.612234 loss_dfl: 0.467918 loss: 2.381611 eta: 1 day, 2:40:36 batch_cost: 1.0233 data_cost: 0.0038 ips: 54.7238 images/s [03/18 02:43:15] ppdet.engine INFO: Epoch: [99] [380/523] learning_rate: 0.210833 loss_vfl: 1.204067 loss_bbox: 0.614185 loss_dfl: 0.467121 loss: 2.270166 eta: 1 day, 2:40:21 batch_cost: 0.9973 data_cost: 0.0029 ips: 56.1499 images/s [03/18 02:43:37] ppdet.engine INFO: Epoch: [99] [400/523] learning_rate: 0.210784 loss_vfl: 1.306724 loss_bbox: 0.631393 loss_dfl: 0.487424 loss: 2.438815 eta: 1 day, 2:40:05 batch_cost: 0.9888 data_cost: 0.0018 ips: 56.6331 images/s [03/18 02:43:55] ppdet.engine INFO: Epoch: [99] [420/523] learning_rate: 0.210736 loss_vfl: 1.273150 loss_bbox: 0.616842 loss_dfl: 0.469597 loss: 2.356919 eta: 1 day, 2:39:44 batch_cost: 0.8262 data_cost: 0.0033 ips: 67.7782 images/s [03/18 02:44:14] ppdet.engine INFO: Epoch: [99] [440/523] learning_rate: 0.210687 loss_vfl: 1.290614 loss_bbox: 0.631376 loss_dfl: 0.470882 loss: 2.361130 eta: 1 day, 2:39:23 batch_cost: 0.8583 data_cost: 0.0033 ips: 65.2470 images/s [03/18 02:44:36] ppdet.engine INFO: Epoch: [99] [460/523] learning_rate: 0.210639 loss_vfl: 1.249346 loss_bbox: 0.600405 loss_dfl: 0.457891 loss: 2.315996 eta: 1 day, 2:39:06 batch_cost: 0.9584 data_cost: 0.0015 ips: 58.4320 images/s [03/18 02:44:57] ppdet.engine INFO: Epoch: [99] [480/523] learning_rate: 0.210590 loss_vfl: 1.278694 loss_bbox: 0.615773 loss_dfl: 0.462091 loss: 2.349017 eta: 1 day, 2:38:52 batch_cost: 1.0166 data_cost: 0.0016 ips: 55.0847 images/s [03/18 02:45:20] ppdet.engine INFO: Epoch: [99] [500/523] learning_rate: 0.210542 loss_vfl: 1.280880 loss_bbox: 0.608888 loss_dfl: 0.455096 loss: 2.315128 eta: 1 day, 2:38:38 batch_cost: 1.0202 data_cost: 0.0019 ips: 54.8930 images/s [03/18 02:45:37] ppdet.engine INFO: Epoch: [99] [520/523] learning_rate: 0.210493 loss_vfl: 1.221661 loss_bbox: 0.610507 loss_dfl: 0.448798 loss: 2.302912 eta: 1 day, 2:38:15 batch_cost: 0.8053 data_cost: 0.0020 ips: 69.5358 images/s [03/18 02:45:40] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 02:45:40] ppdet.engine INFO: Eval iter: 0 [03/18 02:46:02] ppdet.engine INFO: Eval iter: 100 [03/18 02:46:14] ppdet.engine INFO: Eval iter: 200 [03/18 02:46:26] ppdet.engine INFO: Eval iter: 300 [03/18 02:46:37] ppdet.engine INFO: Eval iter: 400 [03/18 02:46:49] ppdet.engine INFO: Eval iter: 500 [03/18 02:47:01] ppdet.engine INFO: Eval iter: 600 [03/18 02:47:16] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.60s) creating index... index created! [03/18 02:47:16] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.21s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=82.70s). Accumulating evaluation results... DONE (t=16.63s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.214 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.338 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.222 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.071 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 ] = 0.369 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 ] = 0.370 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.393 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.131 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.428 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.637 [03/18 02:49:03] ppdet.engine INFO: Total sample number: 4952, averge FPS: 58.78479413030834 [03/18 02:49:03] ppdet.engine INFO: Best test bbox ap is 0.214. [03/18 02:49:03] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 02:49:04] ppdet.engine INFO: Epoch: [100] [ 0/523] learning_rate: 0.210486 loss_vfl: 1.221661 loss_bbox: 0.620300 loss_dfl: 0.469875 loss: 2.318780 eta: 1 day, 2:38:08 batch_cost: 0.6763 data_cost: 0.0009 ips: 82.8092 images/s [03/18 02:49:23] ppdet.engine INFO: Epoch: [100] [ 20/523] learning_rate: 0.210437 loss_vfl: 1.057975 loss_bbox: 0.520679 loss_dfl: 0.441538 loss: 2.008132 eta: 1 day, 2:37:45 batch_cost: 0.7866 data_cost: 0.0004 ips: 71.1935 images/s [03/18 02:49:47] ppdet.engine INFO: Epoch: [100] [ 40/523] learning_rate: 0.210389 loss_vfl: 1.016544 loss_bbox: 0.496408 loss_dfl: 0.449066 loss: 1.941040 eta: 1 day, 2:37:34 batch_cost: 1.0986 data_cost: 0.0021 ips: 50.9724 images/s [03/18 02:50:08] ppdet.engine INFO: Epoch: [100] [ 60/523] learning_rate: 0.210340 loss_vfl: 1.010198 loss_bbox: 0.486818 loss_dfl: 0.429324 loss: 1.927966 eta: 1 day, 2:37:18 batch_cost: 0.9891 data_cost: 0.0061 ips: 56.6144 images/s [03/18 02:50:32] ppdet.engine INFO: Epoch: [100] [ 80/523] learning_rate: 0.210292 loss_vfl: 1.043470 loss_bbox: 0.467514 loss_dfl: 0.423828 loss: 1.929047 eta: 1 day, 2:37:09 batch_cost: 1.1489 data_cost: 0.0024 ips: 48.7418 images/s [03/18 02:50:57] ppdet.engine INFO: Epoch: [100] [100/523] learning_rate: 0.210243 loss_vfl: 0.989370 loss_bbox: 0.455738 loss_dfl: 0.409623 loss: 1.842550 eta: 1 day, 2:37:00 batch_cost: 1.1577 data_cost: 0.0045 ips: 48.3719 images/s [03/18 02:51:19] ppdet.engine INFO: Epoch: [100] [120/523] learning_rate: 0.210194 loss_vfl: 1.044841 loss_bbox: 0.494879 loss_dfl: 0.437447 loss: 1.974232 eta: 1 day, 2:36:47 batch_cost: 1.0375 data_cost: 0.0028 ips: 53.9740 images/s [03/18 02:51:41] ppdet.engine INFO: Epoch: [100] [140/523] learning_rate: 0.210146 loss_vfl: 1.045380 loss_bbox: 0.502088 loss_dfl: 0.444069 loss: 1.986382 eta: 1 day, 2:36:30 batch_cost: 0.9578 data_cost: 0.0020 ips: 58.4684 images/s [03/18 02:52:04] ppdet.engine INFO: Epoch: [100] [160/523] learning_rate: 0.210097 loss_vfl: 1.011298 loss_bbox: 0.492029 loss_dfl: 0.426808 loss: 1.926691 eta: 1 day, 2:36:18 batch_cost: 1.0669 data_cost: 0.0013 ips: 52.4907 images/s [03/18 02:52:24] ppdet.engine INFO: Epoch: [100] [180/523] learning_rate: 0.210049 loss_vfl: 1.017545 loss_bbox: 0.497729 loss_dfl: 0.437463 loss: 1.956337 eta: 1 day, 2:36:02 batch_cost: 0.9690 data_cost: 0.0031 ips: 57.7917 images/s [03/18 02:52:43] ppdet.engine INFO: Epoch: [100] [200/523] learning_rate: 0.210000 loss_vfl: 1.078907 loss_bbox: 0.494485 loss_dfl: 0.441323 loss: 2.015299 eta: 1 day, 2:35:38 batch_cost: 0.7959 data_cost: 0.0036 ips: 70.3565 images/s [03/18 02:53:02] ppdet.engine INFO: Epoch: [100] [220/523] learning_rate: 0.209951 loss_vfl: 1.099452 loss_bbox: 0.504180 loss_dfl: 0.457868 loss: 2.038939 eta: 1 day, 2:35:18 batch_cost: 0.8736 data_cost: 0.0044 ips: 64.1011 images/s [03/18 02:53:23] ppdet.engine INFO: Epoch: [100] [240/523] learning_rate: 0.209903 loss_vfl: 1.079531 loss_bbox: 0.515905 loss_dfl: 0.453230 loss: 2.065252 eta: 1 day, 2:35:02 batch_cost: 0.9624 data_cost: 0.0016 ips: 58.1891 images/s [03/18 02:53:46] ppdet.engine INFO: Epoch: [100] [260/523] learning_rate: 0.209854 loss_vfl: 1.042002 loss_bbox: 0.489559 loss_dfl: 0.434336 loss: 1.950722 eta: 1 day, 2:34:50 batch_cost: 1.0761 data_cost: 0.0039 ips: 52.0412 images/s [03/18 02:54:11] ppdet.engine INFO: Epoch: [100] [280/523] learning_rate: 0.209805 loss_vfl: 1.056771 loss_bbox: 0.504080 loss_dfl: 0.448906 loss: 2.055366 eta: 1 day, 2:34:40 batch_cost: 1.1266 data_cost: 0.0096 ips: 49.7063 images/s [03/18 02:54:30] ppdet.engine INFO: Epoch: [100] [300/523] learning_rate: 0.209757 loss_vfl: 1.054520 loss_bbox: 0.494847 loss_dfl: 0.441624 loss: 1.997428 eta: 1 day, 2:34:20 batch_cost: 0.8782 data_cost: 0.0046 ips: 63.7685 images/s [03/18 02:54:53] ppdet.engine INFO: Epoch: [100] [320/523] learning_rate: 0.209708 loss_vfl: 1.079960 loss_bbox: 0.474262 loss_dfl: 0.444657 loss: 1.993576 eta: 1 day, 2:34:08 batch_cost: 1.0874 data_cost: 0.0067 ips: 51.5004 images/s [03/18 02:55:16] ppdet.engine INFO: Epoch: [100] [340/523] learning_rate: 0.209659 loss_vfl: 1.044556 loss_bbox: 0.470470 loss_dfl: 0.430677 loss: 1.963056 eta: 1 day, 2:33:54 batch_cost: 1.0143 data_cost: 0.0004 ips: 55.2122 images/s [03/18 02:55:37] ppdet.engine INFO: Epoch: [100] [360/523] learning_rate: 0.209610 loss_vfl: 1.018840 loss_bbox: 0.454081 loss_dfl: 0.412303 loss: 1.868898 eta: 1 day, 2:33:38 batch_cost: 0.9736 data_cost: 0.0048 ips: 57.5157 images/s [03/18 02:56:00] ppdet.engine INFO: Epoch: [100] [380/523] learning_rate: 0.209562 loss_vfl: 1.093763 loss_bbox: 0.484793 loss_dfl: 0.446843 loss: 2.035920 eta: 1 day, 2:33:24 batch_cost: 1.0308 data_cost: 0.0040 ips: 54.3287 images/s [03/18 02:56:22] ppdet.engine INFO: Epoch: [100] [400/523] learning_rate: 0.209513 loss_vfl: 1.041187 loss_bbox: 0.480203 loss_dfl: 0.428221 loss: 1.965694 eta: 1 day, 2:33:09 batch_cost: 1.0082 data_cost: 0.0020 ips: 55.5457 images/s [03/18 02:56:46] ppdet.engine INFO: Epoch: [100] [420/523] learning_rate: 0.209464 loss_vfl: 1.085602 loss_bbox: 0.498893 loss_dfl: 0.449214 loss: 2.039911 eta: 1 day, 2:32:59 batch_cost: 1.1252 data_cost: 0.0037 ips: 49.7676 images/s [03/18 02:57:04] ppdet.engine INFO: Epoch: [100] [440/523] learning_rate: 0.209415 loss_vfl: 1.052599 loss_bbox: 0.479899 loss_dfl: 0.425719 loss: 1.951348 eta: 1 day, 2:32:37 batch_cost: 0.8289 data_cost: 0.0048 ips: 67.5586 images/s [03/18 02:57:21] ppdet.engine INFO: Epoch: [100] [460/523] learning_rate: 0.209367 loss_vfl: 1.026668 loss_bbox: 0.481283 loss_dfl: 0.431715 loss: 1.951385 eta: 1 day, 2:32:10 batch_cost: 0.6992 data_cost: 0.0029 ips: 80.0890 images/s [03/18 02:57:41] ppdet.engine INFO: Epoch: [100] [480/523] learning_rate: 0.209318 loss_vfl: 1.005571 loss_bbox: 0.460417 loss_dfl: 0.409681 loss: 1.880047 eta: 1 day, 2:31:50 batch_cost: 0.8768 data_cost: 0.0017 ips: 63.8679 images/s [03/18 02:58:04] ppdet.engine INFO: Epoch: [100] [500/523] learning_rate: 0.209269 loss_vfl: 1.039673 loss_bbox: 0.473875 loss_dfl: 0.436881 loss: 1.949206 eta: 1 day, 2:31:36 batch_cost: 1.0293 data_cost: 0.0033 ips: 54.4075 images/s [03/18 02:58:22] ppdet.engine INFO: Epoch: [100] [520/523] learning_rate: 0.209220 loss_vfl: 1.092068 loss_bbox: 0.513854 loss_dfl: 0.455355 loss: 2.036831 eta: 1 day, 2:31:13 batch_cost: 0.8006 data_cost: 0.0028 ips: 69.9502 images/s [03/18 02:58:35] ppdet.engine INFO: Epoch: [101] [ 0/523] learning_rate: 0.209213 loss_vfl: 1.100072 loss_bbox: 0.516334 loss_dfl: 0.461066 loss: 2.068604 eta: 1 day, 2:31:29 batch_cost: 1.2821 data_cost: 0.3721 ips: 43.6796 images/s [03/18 02:58:57] ppdet.engine INFO: Epoch: [101] [ 20/523] learning_rate: 0.209164 loss_vfl: 1.055979 loss_bbox: 0.460979 loss_dfl: 0.425158 loss: 1.925707 eta: 1 day, 2:31:14 batch_cost: 1.0126 data_cost: 0.0044 ips: 55.3012 images/s [03/18 02:59:21] ppdet.engine INFO: Epoch: [101] [ 40/523] learning_rate: 0.209115 loss_vfl: 1.055419 loss_bbox: 0.472947 loss_dfl: 0.437545 loss: 1.946551 eta: 1 day, 2:31:00 batch_cost: 1.0236 data_cost: 0.0028 ips: 54.7062 images/s [03/18 02:59:44] ppdet.engine INFO: Epoch: [101] [ 60/523] learning_rate: 0.209066 loss_vfl: 1.067742 loss_bbox: 0.466874 loss_dfl: 0.437966 loss: 1.962729 eta: 1 day, 2:30:47 batch_cost: 1.0635 data_cost: 0.0035 ips: 52.6555 images/s [03/18 03:00:03] ppdet.engine INFO: Epoch: [101] [ 80/523] learning_rate: 0.209018 loss_vfl: 1.072606 loss_bbox: 0.503790 loss_dfl: 0.446654 loss: 2.021761 eta: 1 day, 2:30:24 batch_cost: 0.8017 data_cost: 0.0094 ips: 69.8554 images/s [03/18 03:00:28] ppdet.engine INFO: Epoch: [101] [100/523] learning_rate: 0.208969 loss_vfl: 1.101541 loss_bbox: 0.495341 loss_dfl: 0.456921 loss: 2.043828 eta: 1 day, 2:30:14 batch_cost: 1.1258 data_cost: 0.0005 ips: 49.7440 images/s [03/18 03:00:51] ppdet.engine INFO: Epoch: [101] [120/523] learning_rate: 0.208920 loss_vfl: 0.983746 loss_bbox: 0.445778 loss_dfl: 0.410219 loss: 1.865190 eta: 1 day, 2:30:02 batch_cost: 1.0691 data_cost: 0.0018 ips: 52.3799 images/s [03/18 03:01:13] ppdet.engine INFO: Epoch: [101] [140/523] learning_rate: 0.208871 loss_vfl: 1.004428 loss_bbox: 0.455018 loss_dfl: 0.414351 loss: 1.867459 eta: 1 day, 2:29:46 batch_cost: 0.9764 data_cost: 0.0013 ips: 57.3519 images/s [03/18 03:01:34] ppdet.engine INFO: Epoch: [101] [160/523] learning_rate: 0.208822 loss_vfl: 1.073143 loss_bbox: 0.492902 loss_dfl: 0.446878 loss: 1.996999 eta: 1 day, 2:29:29 batch_cost: 0.9567 data_cost: 0.0064 ips: 58.5359 images/s [03/18 03:01:52] ppdet.engine INFO: Epoch: [101] [180/523] learning_rate: 0.208773 loss_vfl: 1.071010 loss_bbox: 0.492773 loss_dfl: 0.434213 loss: 2.022915 eta: 1 day, 2:29:08 batch_cost: 0.8529 data_cost: 0.0017 ips: 65.6585 images/s [03/18 03:02:12] ppdet.engine INFO: Epoch: [101] [200/523] learning_rate: 0.208724 loss_vfl: 1.018119 loss_bbox: 0.474790 loss_dfl: 0.428310 loss: 1.929132 eta: 1 day, 2:28:48 batch_cost: 0.8828 data_cost: 0.0188 ips: 63.4313 images/s [03/18 03:02:33] ppdet.engine INFO: Epoch: [101] [220/523] learning_rate: 0.208675 loss_vfl: 1.067114 loss_bbox: 0.487883 loss_dfl: 0.445266 loss: 1.981527 eta: 1 day, 2:28:31 batch_cost: 0.9522 data_cost: 0.0040 ips: 58.8115 images/s [03/18 03:02:56] ppdet.engine INFO: Epoch: [101] [240/523] learning_rate: 0.208626 loss_vfl: 1.087501 loss_bbox: 0.477874 loss_dfl: 0.440408 loss: 2.003024 eta: 1 day, 2:28:19 batch_cost: 1.0683 data_cost: 0.0013 ips: 52.4210 images/s [03/18 03:03:19] ppdet.engine INFO: Epoch: [101] [260/523] learning_rate: 0.208577 loss_vfl: 1.048131 loss_bbox: 0.474414 loss_dfl: 0.425605 loss: 1.933543 eta: 1 day, 2:28:05 batch_cost: 1.0377 data_cost: 0.0026 ips: 53.9656 images/s [03/18 03:03:41] ppdet.engine INFO: Epoch: [101] [280/523] learning_rate: 0.208528 loss_vfl: 1.100854 loss_bbox: 0.498457 loss_dfl: 0.460374 loss: 2.093611 eta: 1 day, 2:27:51 batch_cost: 1.0131 data_cost: 0.0025 ips: 55.2748 images/s [03/18 03:04:04] ppdet.engine INFO: Epoch: [101] [300/523] learning_rate: 0.208479 loss_vfl: 1.044063 loss_bbox: 0.474382 loss_dfl: 0.427845 loss: 1.918335 eta: 1 day, 2:27:37 batch_cost: 1.0279 data_cost: 0.0045 ips: 54.4782 images/s [03/18 03:04:24] ppdet.engine INFO: Epoch: [101] [320/523] learning_rate: 0.208430 loss_vfl: 1.041163 loss_bbox: 0.475989 loss_dfl: 0.423372 loss: 1.926074 eta: 1 day, 2:27:18 batch_cost: 0.9246 data_cost: 0.0009 ips: 60.5670 images/s [03/18 03:04:47] ppdet.engine INFO: Epoch: [101] [340/523] learning_rate: 0.208381 loss_vfl: 1.060101 loss_bbox: 0.479420 loss_dfl: 0.436208 loss: 1.971806 eta: 1 day, 2:27:06 batch_cost: 1.0744 data_cost: 0.0029 ips: 52.1218 images/s [03/18 03:05:11] ppdet.engine INFO: Epoch: [101] [360/523] learning_rate: 0.208332 loss_vfl: 1.062282 loss_bbox: 0.491623 loss_dfl: 0.433610 loss: 1.975619 eta: 1 day, 2:26:53 batch_cost: 1.0477 data_cost: 0.0022 ips: 53.4529 images/s [03/18 03:05:33] ppdet.engine INFO: Epoch: [101] [380/523] learning_rate: 0.208283 loss_vfl: 1.046116 loss_bbox: 0.461101 loss_dfl: 0.429411 loss: 1.975039 eta: 1 day, 2:26:37 batch_cost: 0.9892 data_cost: 0.0035 ips: 56.6086 images/s [03/18 03:05:56] ppdet.engine INFO: Epoch: [101] [400/523] learning_rate: 0.208234 loss_vfl: 1.038544 loss_bbox: 0.471920 loss_dfl: 0.420891 loss: 1.910084 eta: 1 day, 2:26:24 batch_cost: 1.0508 data_cost: 0.0020 ips: 53.2921 images/s [03/18 03:06:14] ppdet.engine INFO: Epoch: [101] [420/523] learning_rate: 0.208185 loss_vfl: 1.044272 loss_bbox: 0.474607 loss_dfl: 0.439213 loss: 1.949198 eta: 1 day, 2:26:02 batch_cost: 0.8154 data_cost: 0.0048 ips: 68.6784 images/s [03/18 03:06:32] ppdet.engine INFO: Epoch: [101] [440/523] learning_rate: 0.208136 loss_vfl: 1.079293 loss_bbox: 0.478051 loss_dfl: 0.436374 loss: 1.990116 eta: 1 day, 2:25:39 batch_cost: 0.8085 data_cost: 0.0006 ips: 69.2620 images/s [03/18 03:06:52] ppdet.engine INFO: Epoch: [101] [460/523] learning_rate: 0.208087 loss_vfl: 1.075680 loss_bbox: 0.464469 loss_dfl: 0.435401 loss: 1.995034 eta: 1 day, 2:25:22 batch_cost: 0.9535 data_cost: 0.0022 ips: 58.7280 images/s [03/18 03:07:13] ppdet.engine INFO: Epoch: [101] [480/523] learning_rate: 0.208038 loss_vfl: 1.042550 loss_bbox: 0.464050 loss_dfl: 0.420902 loss: 1.916454 eta: 1 day, 2:25:05 batch_cost: 0.9414 data_cost: 0.0014 ips: 59.4886 images/s [03/18 03:07:35] ppdet.engine INFO: Epoch: [101] [500/523] learning_rate: 0.207989 loss_vfl: 1.019187 loss_bbox: 0.462793 loss_dfl: 0.423523 loss: 1.896583 eta: 1 day, 2:24:49 batch_cost: 0.9982 data_cost: 0.0032 ips: 56.1010 images/s [03/18 03:07:54] ppdet.engine INFO: Epoch: [101] [520/523] learning_rate: 0.207940 loss_vfl: 1.014671 loss_bbox: 0.470891 loss_dfl: 0.426272 loss: 1.904189 eta: 1 day, 2:24:29 batch_cost: 0.8735 data_cost: 0.0039 ips: 64.1109 images/s [03/18 03:08:07] ppdet.engine INFO: Epoch: [102] [ 0/523] learning_rate: 0.207932 loss_vfl: 1.025413 loss_bbox: 0.479374 loss_dfl: 0.426272 loss: 1.939073 eta: 1 day, 2:24:44 batch_cost: 1.2702 data_cost: 0.2415 ips: 44.0871 images/s [03/18 03:08:29] ppdet.engine INFO: Epoch: [102] [ 20/523] learning_rate: 0.207883 loss_vfl: 1.110295 loss_bbox: 0.496258 loss_dfl: 0.449549 loss: 2.024815 eta: 1 day, 2:24:27 batch_cost: 0.9508 data_cost: 0.0005 ips: 58.9007 images/s [03/18 03:08:53] ppdet.engine INFO: Epoch: [102] [ 40/523] learning_rate: 0.207834 loss_vfl: 1.083334 loss_bbox: 0.476962 loss_dfl: 0.432962 loss: 1.981302 eta: 1 day, 2:24:15 batch_cost: 1.0844 data_cost: 0.0003 ips: 51.6431 images/s [03/18 03:09:16] ppdet.engine INFO: Epoch: [102] [ 60/523] learning_rate: 0.207785 loss_vfl: 0.998341 loss_bbox: 0.463421 loss_dfl: 0.418216 loss: 1.889042 eta: 1 day, 2:24:02 batch_cost: 1.0439 data_cost: 0.0023 ips: 53.6443 images/s [03/18 03:09:36] ppdet.engine INFO: Epoch: [102] [ 80/523] learning_rate: 0.207736 loss_vfl: 1.065762 loss_bbox: 0.466697 loss_dfl: 0.429829 loss: 1.946875 eta: 1 day, 2:23:45 batch_cost: 0.9473 data_cost: 0.0066 ips: 59.1130 images/s [03/18 03:09:58] ppdet.engine INFO: Epoch: [102] [100/523] learning_rate: 0.207687 loss_vfl: 1.029227 loss_bbox: 0.497804 loss_dfl: 0.445449 loss: 1.973688 eta: 1 day, 2:23:29 batch_cost: 0.9983 data_cost: 0.0021 ips: 56.0958 images/s [03/18 03:10:22] ppdet.engine INFO: Epoch: [102] [120/523] learning_rate: 0.207637 loss_vfl: 1.035261 loss_bbox: 0.471480 loss_dfl: 0.432154 loss: 1.926596 eta: 1 day, 2:23:16 batch_cost: 1.0543 data_cost: 0.0018 ips: 53.1151 images/s [03/18 03:10:43] ppdet.engine INFO: Epoch: [102] [140/523] learning_rate: 0.207588 loss_vfl: 1.049570 loss_bbox: 0.476269 loss_dfl: 0.424558 loss: 1.979329 eta: 1 day, 2:23:00 batch_cost: 0.9674 data_cost: 0.0017 ips: 57.8887 images/s [03/18 03:11:01] ppdet.engine INFO: Epoch: [102] [160/523] learning_rate: 0.207539 loss_vfl: 1.049400 loss_bbox: 0.466863 loss_dfl: 0.430521 loss: 1.943665 eta: 1 day, 2:22:38 batch_cost: 0.8327 data_cost: 0.0034 ips: 67.2485 images/s [03/18 03:11:21] ppdet.engine INFO: Epoch: [102] [180/523] learning_rate: 0.207490 loss_vfl: 1.057547 loss_bbox: 0.494168 loss_dfl: 0.446762 loss: 2.013222 eta: 1 day, 2:22:17 batch_cost: 0.8572 data_cost: 0.0013 ips: 65.3314 images/s [03/18 03:11:43] ppdet.engine INFO: Epoch: [102] [200/523] learning_rate: 0.207441 loss_vfl: 1.027554 loss_bbox: 0.486238 loss_dfl: 0.439770 loss: 1.952914 eta: 1 day, 2:22:03 batch_cost: 1.0327 data_cost: 0.0054 ips: 54.2280 images/s [03/18 03:12:04] ppdet.engine INFO: Epoch: [102] [220/523] learning_rate: 0.207391 loss_vfl: 1.101347 loss_bbox: 0.493155 loss_dfl: 0.438686 loss: 2.033715 eta: 1 day, 2:21:46 batch_cost: 0.9381 data_cost: 0.0032 ips: 59.6975 images/s [03/18 03:12:29] ppdet.engine INFO: Epoch: [102] [240/523] learning_rate: 0.207342 loss_vfl: 1.037986 loss_bbox: 0.471098 loss_dfl: 0.429389 loss: 1.923106 eta: 1 day, 2:21:37 batch_cost: 1.1744 data_cost: 0.0021 ips: 47.6845 images/s [03/18 03:12:50] ppdet.engine INFO: Epoch: [102] [260/523] learning_rate: 0.207293 loss_vfl: 1.091148 loss_bbox: 0.495268 loss_dfl: 0.452557 loss: 2.064427 eta: 1 day, 2:21:22 batch_cost: 1.0029 data_cost: 0.0117 ips: 55.8393 images/s [03/18 03:13:13] ppdet.engine INFO: Epoch: [102] [280/523] learning_rate: 0.207244 loss_vfl: 1.075055 loss_bbox: 0.469555 loss_dfl: 0.444507 loss: 1.988155 eta: 1 day, 2:21:08 batch_cost: 1.0189 data_cost: 0.0048 ips: 54.9638 images/s [03/18 03:13:34] ppdet.engine INFO: Epoch: [102] [300/523] learning_rate: 0.207194 loss_vfl: 1.057847 loss_bbox: 0.489570 loss_dfl: 0.431829 loss: 1.982324 eta: 1 day, 2:20:51 batch_cost: 0.9743 data_cost: 0.0030 ips: 57.4745 images/s [03/18 03:13:59] ppdet.engine INFO: Epoch: [102] [320/523] learning_rate: 0.207145 loss_vfl: 1.065302 loss_bbox: 0.461787 loss_dfl: 0.430047 loss: 1.954652 eta: 1 day, 2:20:42 batch_cost: 1.1448 data_cost: 0.0010 ips: 48.9177 images/s [03/18 03:14:19] ppdet.engine INFO: Epoch: [102] [340/523] learning_rate: 0.207096 loss_vfl: 1.087860 loss_bbox: 0.487108 loss_dfl: 0.445224 loss: 2.007561 eta: 1 day, 2:20:23 batch_cost: 0.9042 data_cost: 0.0031 ips: 61.9365 images/s [03/18 03:14:42] ppdet.engine INFO: Epoch: [102] [360/523] learning_rate: 0.207046 loss_vfl: 1.063560 loss_bbox: 0.463734 loss_dfl: 0.431219 loss: 1.980523 eta: 1 day, 2:20:08 batch_cost: 1.0038 data_cost: 0.0021 ips: 55.7855 images/s [03/18 03:15:04] ppdet.engine INFO: Epoch: [102] [380/523] learning_rate: 0.206997 loss_vfl: 1.015242 loss_bbox: 0.456454 loss_dfl: 0.430469 loss: 1.887011 eta: 1 day, 2:19:54 batch_cost: 1.0342 data_cost: 0.0016 ips: 54.1465 images/s [03/18 03:15:22] ppdet.engine INFO: Epoch: [102] [400/523] learning_rate: 0.206948 loss_vfl: 1.123934 loss_bbox: 0.487447 loss_dfl: 0.452412 loss: 2.070019 eta: 1 day, 2:19:32 batch_cost: 0.8237 data_cost: 0.0023 ips: 67.9871 images/s [03/18 03:15:40] ppdet.engine INFO: Epoch: [102] [420/523] learning_rate: 0.206898 loss_vfl: 1.120165 loss_bbox: 0.529044 loss_dfl: 0.466931 loss: 2.107454 eta: 1 day, 2:19:10 batch_cost: 0.8314 data_cost: 0.0034 ips: 67.3560 images/s [03/18 03:16:00] ppdet.engine INFO: Epoch: [102] [440/523] learning_rate: 0.206849 loss_vfl: 1.084056 loss_bbox: 0.487624 loss_dfl: 0.443587 loss: 2.043407 eta: 1 day, 2:18:52 batch_cost: 0.9221 data_cost: 0.0074 ips: 60.7304 images/s [03/18 03:16:25] ppdet.engine INFO: Epoch: [102] [460/523] learning_rate: 0.206800 loss_vfl: 1.102114 loss_bbox: 0.491979 loss_dfl: 0.450931 loss: 2.060671 eta: 1 day, 2:18:42 batch_cost: 1.1295 data_cost: 0.0036 ips: 49.5790 images/s [03/18 03:16:48] ppdet.engine INFO: Epoch: [102] [480/523] learning_rate: 0.206750 loss_vfl: 1.055345 loss_bbox: 0.465228 loss_dfl: 0.432606 loss: 1.916475 eta: 1 day, 2:18:29 batch_cost: 1.0843 data_cost: 0.0012 ips: 51.6457 images/s [03/18 03:17:08] ppdet.engine INFO: Epoch: [102] [500/523] learning_rate: 0.206701 loss_vfl: 1.110857 loss_bbox: 0.499655 loss_dfl: 0.458672 loss: 2.059000 eta: 1 day, 2:18:09 batch_cost: 0.8752 data_cost: 0.0025 ips: 63.9850 images/s [03/18 03:17:26] ppdet.engine INFO: Epoch: [102] [520/523] learning_rate: 0.206652 loss_vfl: 1.043035 loss_bbox: 0.472428 loss_dfl: 0.420988 loss: 1.949680 eta: 1 day, 2:17:49 batch_cost: 0.8533 data_cost: 0.0025 ips: 65.6305 images/s [03/18 03:17:41] ppdet.engine INFO: Epoch: [103] [ 0/523] learning_rate: 0.206644 loss_vfl: 1.071859 loss_bbox: 0.484701 loss_dfl: 0.449644 loss: 2.017803 eta: 1 day, 2:18:06 batch_cost: 1.3441 data_cost: 0.3308 ips: 41.6625 images/s [03/18 03:18:04] ppdet.engine INFO: Epoch: [103] [ 20/523] learning_rate: 0.206595 loss_vfl: 1.085039 loss_bbox: 0.500269 loss_dfl: 0.443153 loss: 2.011557 eta: 1 day, 2:17:54 batch_cost: 1.0691 data_cost: 0.0020 ips: 52.3808 images/s [03/18 03:18:24] ppdet.engine INFO: Epoch: [103] [ 40/523] learning_rate: 0.206545 loss_vfl: 1.028801 loss_bbox: 0.462127 loss_dfl: 0.419587 loss: 1.926260 eta: 1 day, 2:17:34 batch_cost: 0.8915 data_cost: 0.0021 ips: 62.8127 images/s [03/18 03:18:46] ppdet.engine INFO: Epoch: [103] [ 60/523] learning_rate: 0.206496 loss_vfl: 1.049712 loss_bbox: 0.487894 loss_dfl: 0.430046 loss: 1.995406 eta: 1 day, 2:17:19 batch_cost: 0.9985 data_cost: 0.0034 ips: 56.0827 images/s [03/18 03:19:10] ppdet.engine INFO: Epoch: [103] [ 80/523] learning_rate: 0.206447 loss_vfl: 1.015555 loss_bbox: 0.470278 loss_dfl: 0.421663 loss: 1.922203 eta: 1 day, 2:17:07 batch_cost: 1.0862 data_cost: 0.0110 ips: 51.5561 images/s [03/18 03:19:34] ppdet.engine INFO: Epoch: [103] [100/523] learning_rate: 0.206397 loss_vfl: 0.994786 loss_bbox: 0.452897 loss_dfl: 0.424919 loss: 1.877701 eta: 1 day, 2:16:57 batch_cost: 1.1526 data_cost: 0.0017 ips: 48.5838 images/s [03/18 03:19:52] ppdet.engine INFO: Epoch: [103] [120/523] learning_rate: 0.206348 loss_vfl: 1.033948 loss_bbox: 0.465404 loss_dfl: 0.441004 loss: 1.946316 eta: 1 day, 2:16:35 batch_cost: 0.7998 data_cost: 0.0025 ips: 70.0135 images/s [03/18 03:20:11] ppdet.engine INFO: Epoch: [103] [140/523] learning_rate: 0.206298 loss_vfl: 1.069954 loss_bbox: 0.477638 loss_dfl: 0.439020 loss: 2.022567 eta: 1 day, 2:16:13 batch_cost: 0.8253 data_cost: 0.0022 ips: 67.8553 images/s [03/18 03:20:33] ppdet.engine INFO: Epoch: [103] [160/523] learning_rate: 0.206249 loss_vfl: 1.079609 loss_bbox: 0.491875 loss_dfl: 0.449662 loss: 2.028823 eta: 1 day, 2:15:57 batch_cost: 1.0001 data_cost: 0.0017 ips: 55.9966 images/s [03/18 03:20:56] ppdet.engine INFO: Epoch: [103] [180/523] learning_rate: 0.206199 loss_vfl: 1.048101 loss_bbox: 0.459493 loss_dfl: 0.432524 loss: 1.945531 eta: 1 day, 2:15:42 batch_cost: 1.0030 data_cost: 0.0023 ips: 55.8321 images/s [03/18 03:21:20] ppdet.engine INFO: Epoch: [103] [200/523] learning_rate: 0.206150 loss_vfl: 1.038421 loss_bbox: 0.504047 loss_dfl: 0.439119 loss: 1.973089 eta: 1 day, 2:15:32 batch_cost: 1.1439 data_cost: 0.0016 ips: 48.9552 images/s [03/18 03:21:41] ppdet.engine INFO: Epoch: [103] [220/523] learning_rate: 0.206100 loss_vfl: 1.053774 loss_bbox: 0.464803 loss_dfl: 0.428877 loss: 1.954115 eta: 1 day, 2:15:16 batch_cost: 0.9637 data_cost: 0.0025 ips: 58.1085 images/s [03/18 03:22:03] ppdet.engine INFO: Epoch: [103] [240/523] learning_rate: 0.206051 loss_vfl: 1.046773 loss_bbox: 0.450324 loss_dfl: 0.423085 loss: 1.930763 eta: 1 day, 2:15:01 batch_cost: 1.0211 data_cost: 0.0002 ips: 54.8402 images/s [03/18 03:22:24] ppdet.engine INFO: Epoch: [103] [260/523] learning_rate: 0.206001 loss_vfl: 1.063349 loss_bbox: 0.488534 loss_dfl: 0.445416 loss: 2.014380 eta: 1 day, 2:14:45 batch_cost: 0.9820 data_cost: 0.0033 ips: 57.0261 images/s [03/18 03:22:47] ppdet.engine INFO: Epoch: [103] [280/523] learning_rate: 0.205952 loss_vfl: 1.047964 loss_bbox: 0.475076 loss_dfl: 0.429792 loss: 1.957598 eta: 1 day, 2:14:31 batch_cost: 1.0299 data_cost: 0.0057 ips: 54.3738 images/s [03/18 03:23:08] ppdet.engine INFO: Epoch: [103] [300/523] learning_rate: 0.205902 loss_vfl: 1.083949 loss_bbox: 0.500668 loss_dfl: 0.444364 loss: 2.030252 eta: 1 day, 2:14:14 batch_cost: 0.9706 data_cost: 0.0031 ips: 57.6962 images/s [03/18 03:23:31] ppdet.engine INFO: Epoch: [103] [320/523] learning_rate: 0.205852 loss_vfl: 1.004621 loss_bbox: 0.450009 loss_dfl: 0.412828 loss: 1.898091 eta: 1 day, 2:14:02 batch_cost: 1.0786 data_cost: 0.0038 ips: 51.9209 images/s [03/18 03:23:55] ppdet.engine INFO: Epoch: [103] [340/523] learning_rate: 0.205803 loss_vfl: 1.082841 loss_bbox: 0.484284 loss_dfl: 0.450412 loss: 2.041978 eta: 1 day, 2:13:49 batch_cost: 1.0535 data_cost: 0.0037 ips: 53.1560 images/s [03/18 03:24:13] ppdet.engine INFO: Epoch: [103] [360/523] learning_rate: 0.205753 loss_vfl: 1.092149 loss_bbox: 0.493446 loss_dfl: 0.441416 loss: 2.016126 eta: 1 day, 2:13:26 batch_cost: 0.8102 data_cost: 0.0065 ips: 69.1194 images/s [03/18 03:24:32] ppdet.engine INFO: Epoch: [103] [380/523] learning_rate: 0.205704 loss_vfl: 1.076690 loss_bbox: 0.486016 loss_dfl: 0.432700 loss: 1.990485 eta: 1 day, 2:13:04 batch_cost: 0.8251 data_cost: 0.0023 ips: 67.8681 images/s [03/18 03:24:51] ppdet.engine INFO: Epoch: [103] [400/523] learning_rate: 0.205654 loss_vfl: 1.116187 loss_bbox: 0.499550 loss_dfl: 0.455976 loss: 2.059478 eta: 1 day, 2:12:45 batch_cost: 0.9028 data_cost: 0.0045 ips: 62.0282 images/s [03/18 03:25:14] ppdet.engine INFO: Epoch: [103] [420/523] learning_rate: 0.205604 loss_vfl: 1.078822 loss_bbox: 0.478331 loss_dfl: 0.445076 loss: 1.998690 eta: 1 day, 2:12:32 batch_cost: 1.0575 data_cost: 0.0012 ips: 52.9566 images/s [03/18 03:25:36] ppdet.engine INFO: Epoch: [103] [440/523] learning_rate: 0.205555 loss_vfl: 1.081994 loss_bbox: 0.498088 loss_dfl: 0.440271 loss: 2.013279 eta: 1 day, 2:12:17 batch_cost: 1.0194 data_cost: 0.0031 ips: 54.9347 images/s [03/18 03:25:58] ppdet.engine INFO: Epoch: [103] [460/523] learning_rate: 0.205505 loss_vfl: 1.014347 loss_bbox: 0.462099 loss_dfl: 0.434632 loss: 1.924767 eta: 1 day, 2:12:01 batch_cost: 0.9690 data_cost: 0.0032 ips: 57.7919 images/s [03/18 03:26:20] ppdet.engine INFO: Epoch: [103] [480/523] learning_rate: 0.205456 loss_vfl: 1.068017 loss_bbox: 0.481825 loss_dfl: 0.423914 loss: 1.946158 eta: 1 day, 2:11:45 batch_cost: 0.9847 data_cost: 0.0081 ips: 56.8695 images/s [03/18 03:26:41] ppdet.engine INFO: Epoch: [103] [500/523] learning_rate: 0.205406 loss_vfl: 1.052644 loss_bbox: 0.477313 loss_dfl: 0.432135 loss: 1.960393 eta: 1 day, 2:11:28 batch_cost: 0.9617 data_cost: 0.0043 ips: 58.2326 images/s [03/18 03:27:01] ppdet.engine INFO: Epoch: [103] [520/523] learning_rate: 0.205356 loss_vfl: 1.120370 loss_bbox: 0.492340 loss_dfl: 0.453356 loss: 2.052686 eta: 1 day, 2:11:11 batch_cost: 0.9441 data_cost: 0.0003 ips: 59.3126 images/s [03/18 03:27:13] ppdet.engine INFO: Epoch: [104] [ 0/523] learning_rate: 0.205349 loss_vfl: 1.107720 loss_bbox: 0.482331 loss_dfl: 0.445314 loss: 2.030352 eta: 1 day, 2:11:22 batch_cost: 1.1861 data_cost: 0.2629 ips: 47.2145 images/s [03/18 03:27:37] ppdet.engine INFO: Epoch: [104] [ 20/523] learning_rate: 0.205299 loss_vfl: 1.059097 loss_bbox: 0.497317 loss_dfl: 0.443101 loss: 2.006010 eta: 1 day, 2:11:10 batch_cost: 1.0972 data_cost: 0.0043 ips: 51.0378 images/s [03/18 03:27:59] ppdet.engine INFO: Epoch: [104] [ 40/523] learning_rate: 0.205249 loss_vfl: 1.041404 loss_bbox: 0.491803 loss_dfl: 0.453850 loss: 2.021173 eta: 1 day, 2:10:56 batch_cost: 1.0190 data_cost: 0.0014 ips: 54.9562 images/s [03/18 03:28:23] ppdet.engine INFO: Epoch: [104] [ 60/523] learning_rate: 0.205200 loss_vfl: 1.062935 loss_bbox: 0.483994 loss_dfl: 0.437475 loss: 1.987999 eta: 1 day, 2:10:44 batch_cost: 1.0904 data_cost: 0.0003 ips: 51.3555 images/s [03/18 03:28:42] ppdet.engine INFO: Epoch: [104] [ 80/523] learning_rate: 0.205150 loss_vfl: 1.022376 loss_bbox: 0.462150 loss_dfl: 0.428088 loss: 1.904599 eta: 1 day, 2:10:24 batch_cost: 0.8897 data_cost: 0.0005 ips: 62.9395 images/s [03/18 03:29:01] ppdet.engine INFO: Epoch: [104] [100/523] learning_rate: 0.205100 loss_vfl: 1.070979 loss_bbox: 0.492276 loss_dfl: 0.432698 loss: 1.998476 eta: 1 day, 2:10:02 batch_cost: 0.8277 data_cost: 0.0026 ips: 67.6547 images/s [03/18 03:29:20] ppdet.engine INFO: Epoch: [104] [120/523] learning_rate: 0.205051 loss_vfl: 1.038360 loss_bbox: 0.463504 loss_dfl: 0.421374 loss: 1.937065 eta: 1 day, 2:09:43 batch_cost: 0.8927 data_cost: 0.0025 ips: 62.7277 images/s [03/18 03:29:44] ppdet.engine INFO: Epoch: [104] [140/523] learning_rate: 0.205001 loss_vfl: 1.117442 loss_bbox: 0.499246 loss_dfl: 0.460493 loss: 2.078910 eta: 1 day, 2:09:31 batch_cost: 1.1024 data_cost: 0.0003 ips: 50.7985 images/s [03/18 03:30:07] ppdet.engine INFO: Epoch: [104] [160/523] learning_rate: 0.204951 loss_vfl: 1.073017 loss_bbox: 0.473710 loss_dfl: 0.434239 loss: 1.981062 eta: 1 day, 2:09:18 batch_cost: 1.0470 data_cost: 0.0021 ips: 53.4881 images/s [03/18 03:30:26] ppdet.engine INFO: Epoch: [104] [180/523] learning_rate: 0.204901 loss_vfl: 1.056230 loss_bbox: 0.483898 loss_dfl: 0.436427 loss: 1.990628 eta: 1 day, 2:08:57 batch_cost: 0.8582 data_cost: 0.0015 ips: 65.2548 images/s [03/18 03:30:49] ppdet.engine INFO: Epoch: [104] [200/523] learning_rate: 0.204851 loss_vfl: 1.064593 loss_bbox: 0.469688 loss_dfl: 0.434770 loss: 1.966782 eta: 1 day, 2:08:45 batch_cost: 1.0857 data_cost: 0.0015 ips: 51.5806 images/s [03/18 03:31:12] ppdet.engine INFO: Epoch: [104] [220/523] learning_rate: 0.204802 loss_vfl: 1.084168 loss_bbox: 0.481957 loss_dfl: 0.441025 loss: 2.015707 eta: 1 day, 2:08:31 batch_cost: 1.0535 data_cost: 0.0016 ips: 53.1548 images/s [03/18 03:31:34] ppdet.engine INFO: Epoch: [104] [240/523] learning_rate: 0.204752 loss_vfl: 1.018910 loss_bbox: 0.456052 loss_dfl: 0.424231 loss: 1.885469 eta: 1 day, 2:08:16 batch_cost: 1.0133 data_cost: 0.0042 ips: 55.2624 images/s [03/18 03:31:58] ppdet.engine INFO: Epoch: [104] [260/523] learning_rate: 0.204702 loss_vfl: 1.018523 loss_bbox: 0.469885 loss_dfl: 0.423569 loss: 1.890601 eta: 1 day, 2:08:03 batch_cost: 1.0631 data_cost: 0.0082 ips: 52.6753 images/s [03/18 03:32:20] ppdet.engine INFO: Epoch: [104] [280/523] learning_rate: 0.204652 loss_vfl: 1.066262 loss_bbox: 0.487086 loss_dfl: 0.442553 loss: 1.987763 eta: 1 day, 2:07:47 batch_cost: 0.9867 data_cost: 0.0045 ips: 56.7570 images/s [03/18 03:32:41] ppdet.engine INFO: Epoch: [104] [300/523] learning_rate: 0.204602 loss_vfl: 1.070726 loss_bbox: 0.483814 loss_dfl: 0.438890 loss: 1.984548 eta: 1 day, 2:07:31 batch_cost: 0.9819 data_cost: 0.0121 ips: 57.0350 images/s [03/18 03:33:02] ppdet.engine INFO: Epoch: [104] [320/523] learning_rate: 0.204553 loss_vfl: 1.074990 loss_bbox: 0.489458 loss_dfl: 0.443930 loss: 1.959997 eta: 1 day, 2:07:15 batch_cost: 0.9771 data_cost: 0.0033 ips: 57.3132 images/s [03/18 03:33:22] ppdet.engine INFO: Epoch: [104] [340/523] learning_rate: 0.204503 loss_vfl: 1.020161 loss_bbox: 0.443719 loss_dfl: 0.415747 loss: 1.850239 eta: 1 day, 2:06:54 batch_cost: 0.8560 data_cost: 0.0013 ips: 65.4182 images/s [03/18 03:33:41] ppdet.engine INFO: Epoch: [104] [360/523] learning_rate: 0.204453 loss_vfl: 1.066199 loss_bbox: 0.480551 loss_dfl: 0.444168 loss: 1.998926 eta: 1 day, 2:06:34 batch_cost: 0.8736 data_cost: 0.0012 ips: 64.1050 images/s [03/18 03:34:00] ppdet.engine INFO: Epoch: [104] [380/523] learning_rate: 0.204403 loss_vfl: 1.030463 loss_bbox: 0.466327 loss_dfl: 0.420721 loss: 1.892628 eta: 1 day, 2:06:13 batch_cost: 0.8440 data_cost: 0.0021 ips: 66.3516 images/s [03/18 03:34:25] ppdet.engine INFO: Epoch: [104] [400/523] learning_rate: 0.204353 loss_vfl: 1.045222 loss_bbox: 0.473292 loss_dfl: 0.433051 loss: 1.931668 eta: 1 day, 2:06:03 batch_cost: 1.1556 data_cost: 0.0051 ips: 48.4603 images/s [03/18 03:34:46] ppdet.engine INFO: Epoch: [104] [420/523] learning_rate: 0.204303 loss_vfl: 1.075217 loss_bbox: 0.492985 loss_dfl: 0.452959 loss: 2.002237 eta: 1 day, 2:05:47 batch_cost: 0.9808 data_cost: 0.0032 ips: 57.0969 images/s [03/18 03:35:09] ppdet.engine INFO: Epoch: [104] [440/523] learning_rate: 0.204253 loss_vfl: 1.078031 loss_bbox: 0.491532 loss_dfl: 0.451969 loss: 1.994515 eta: 1 day, 2:05:33 batch_cost: 1.0486 data_cost: 0.0054 ips: 53.4060 images/s [03/18 03:35:30] ppdet.engine INFO: Epoch: [104] [460/523] learning_rate: 0.204203 loss_vfl: 1.081312 loss_bbox: 0.488831 loss_dfl: 0.442109 loss: 2.029834 eta: 1 day, 2:05:18 batch_cost: 0.9995 data_cost: 0.0054 ips: 56.0279 images/s [03/18 03:35:54] ppdet.engine INFO: Epoch: [104] [480/523] learning_rate: 0.204154 loss_vfl: 1.046101 loss_bbox: 0.471502 loss_dfl: 0.431755 loss: 1.950447 eta: 1 day, 2:05:05 batch_cost: 1.0610 data_cost: 0.0023 ips: 52.7785 images/s [03/18 03:36:14] ppdet.engine INFO: Epoch: [104] [500/523] learning_rate: 0.204104 loss_vfl: 1.123533 loss_bbox: 0.506502 loss_dfl: 0.448859 loss: 2.078627 eta: 1 day, 2:04:46 batch_cost: 0.9004 data_cost: 0.0020 ips: 62.1972 images/s [03/18 03:36:33] ppdet.engine INFO: Epoch: [104] [520/523] learning_rate: 0.204054 loss_vfl: 1.051251 loss_bbox: 0.485928 loss_dfl: 0.430736 loss: 1.937805 eta: 1 day, 2:04:25 batch_cost: 0.8703 data_cost: 0.0013 ips: 64.3469 images/s [03/18 03:36:45] ppdet.engine INFO: Epoch: [105] [ 0/523] learning_rate: 0.204046 loss_vfl: 1.025577 loss_bbox: 0.462482 loss_dfl: 0.417182 loss: 1.916670 eta: 1 day, 2:04:36 batch_cost: 1.2537 data_cost: 0.3750 ips: 44.6689 images/s [03/18 03:37:08] ppdet.engine INFO: Epoch: [105] [ 20/523] learning_rate: 0.203996 loss_vfl: 1.056859 loss_bbox: 0.483954 loss_dfl: 0.441304 loss: 1.992760 eta: 1 day, 2:04:24 batch_cost: 1.0907 data_cost: 0.0017 ips: 51.3422 images/s [03/18 03:37:31] ppdet.engine INFO: Epoch: [105] [ 40/523] learning_rate: 0.203946 loss_vfl: 1.072519 loss_bbox: 0.482622 loss_dfl: 0.438596 loss: 1.977505 eta: 1 day, 2:04:09 batch_cost: 1.0207 data_cost: 0.0023 ips: 54.8644 images/s [03/18 03:37:51] ppdet.engine INFO: Epoch: [105] [ 60/523] learning_rate: 0.203896 loss_vfl: 1.045801 loss_bbox: 0.473861 loss_dfl: 0.430302 loss: 1.942444 eta: 1 day, 2:03:52 batch_cost: 0.9591 data_cost: 0.0036 ips: 58.3881 images/s [03/18 03:38:10] ppdet.engine INFO: Epoch: [105] [ 80/523] learning_rate: 0.203846 loss_vfl: 1.041130 loss_bbox: 0.447370 loss_dfl: 0.417825 loss: 1.910139 eta: 1 day, 2:03:32 batch_cost: 0.8650 data_cost: 0.0010 ips: 64.7412 images/s [03/18 03:38:30] ppdet.engine INFO: Epoch: [105] [100/523] learning_rate: 0.203796 loss_vfl: 1.047799 loss_bbox: 0.467630 loss_dfl: 0.437565 loss: 1.967691 eta: 1 day, 2:03:13 batch_cost: 0.9206 data_cost: 0.0004 ips: 60.8300 images/s [03/18 03:38:53] ppdet.engine INFO: Epoch: [105] [120/523] learning_rate: 0.203746 loss_vfl: 1.075666 loss_bbox: 0.468206 loss_dfl: 0.424482 loss: 1.944503 eta: 1 day, 2:02:59 batch_cost: 1.0360 data_cost: 0.0027 ips: 54.0553 images/s [03/18 03:39:16] ppdet.engine INFO: Epoch: [105] [140/523] learning_rate: 0.203696 loss_vfl: 0.971640 loss_bbox: 0.435205 loss_dfl: 0.409901 loss: 1.829012 eta: 1 day, 2:02:45 batch_cost: 1.0353 data_cost: 0.0017 ips: 54.0898 images/s [03/18 03:39:36] ppdet.engine INFO: Epoch: [105] [160/523] learning_rate: 0.203646 loss_vfl: 1.061814 loss_bbox: 0.473764 loss_dfl: 0.444301 loss: 2.005976 eta: 1 day, 2:02:28 batch_cost: 0.9487 data_cost: 0.0053 ips: 59.0281 images/s [03/18 03:39:58] ppdet.engine INFO: Epoch: [105] [180/523] learning_rate: 0.203596 loss_vfl: 1.065658 loss_bbox: 0.479023 loss_dfl: 0.450080 loss: 1.997867 eta: 1 day, 2:02:11 batch_cost: 0.9745 data_cost: 0.0063 ips: 57.4638 images/s [03/18 03:40:21] ppdet.engine INFO: Epoch: [105] [200/523] learning_rate: 0.203546 loss_vfl: 1.071058 loss_bbox: 0.474031 loss_dfl: 0.424569 loss: 1.966611 eta: 1 day, 2:01:59 batch_cost: 1.0833 data_cost: 0.0004 ips: 51.6949 images/s [03/18 03:40:42] ppdet.engine INFO: Epoch: [105] [220/523] learning_rate: 0.203496 loss_vfl: 1.079877 loss_bbox: 0.503199 loss_dfl: 0.452755 loss: 2.027044 eta: 1 day, 2:01:40 batch_cost: 0.9086 data_cost: 0.0031 ips: 61.6304 images/s [03/18 03:41:05] ppdet.engine INFO: Epoch: [105] [240/523] learning_rate: 0.203446 loss_vfl: 1.044892 loss_bbox: 0.456267 loss_dfl: 0.419934 loss: 1.940504 eta: 1 day, 2:01:25 batch_cost: 1.0238 data_cost: 0.0033 ips: 54.6960 images/s [03/18 03:41:26] ppdet.engine INFO: Epoch: [105] [260/523] learning_rate: 0.203396 loss_vfl: 1.087999 loss_bbox: 0.499249 loss_dfl: 0.447011 loss: 2.051443 eta: 1 day, 2:01:09 batch_cost: 0.9747 data_cost: 0.0052 ips: 57.4536 images/s [03/18 03:41:50] ppdet.engine INFO: Epoch: [105] [280/523] learning_rate: 0.203346 loss_vfl: 1.120375 loss_bbox: 0.508464 loss_dfl: 0.463989 loss: 2.135395 eta: 1 day, 2:00:57 batch_cost: 1.0912 data_cost: 0.0089 ips: 51.3219 images/s [03/18 03:42:10] ppdet.engine INFO: Epoch: [105] [300/523] learning_rate: 0.203296 loss_vfl: 1.124051 loss_bbox: 0.508210 loss_dfl: 0.462496 loss: 2.099686 eta: 1 day, 2:00:38 batch_cost: 0.9130 data_cost: 0.0026 ips: 61.3395 images/s [03/18 03:42:28] ppdet.engine INFO: Epoch: [105] [320/523] learning_rate: 0.203246 loss_vfl: 1.103436 loss_bbox: 0.486985 loss_dfl: 0.446365 loss: 2.014520 eta: 1 day, 2:00:16 batch_cost: 0.8098 data_cost: 0.0039 ips: 69.1560 images/s [03/18 03:42:49] ppdet.engine INFO: Epoch: [105] [340/523] learning_rate: 0.203196 loss_vfl: 1.061341 loss_bbox: 0.484439 loss_dfl: 0.434512 loss: 1.983730 eta: 1 day, 1:59:59 batch_cost: 0.9577 data_cost: 0.0002 ips: 58.4746 images/s [03/18 03:43:08] ppdet.engine INFO: Epoch: [105] [360/523] learning_rate: 0.203145 loss_vfl: 1.113522 loss_bbox: 0.490863 loss_dfl: 0.454748 loss: 2.048891 eta: 1 day, 1:59:35 batch_cost: 0.7770 data_cost: 0.0032 ips: 72.0736 images/s [03/18 03:43:30] ppdet.engine INFO: Epoch: [105] [380/523] learning_rate: 0.203095 loss_vfl: 1.070369 loss_bbox: 0.513500 loss_dfl: 0.450478 loss: 2.033154 eta: 1 day, 1:59:20 batch_cost: 1.0126 data_cost: 0.0040 ips: 55.3042 images/s [03/18 03:43:53] ppdet.engine INFO: Epoch: [105] [400/523] learning_rate: 0.203045 loss_vfl: 1.080426 loss_bbox: 0.481102 loss_dfl: 0.441104 loss: 1.994380 eta: 1 day, 1:59:06 batch_cost: 1.0457 data_cost: 0.0019 ips: 53.5506 images/s [03/18 03:44:15] ppdet.engine INFO: Epoch: [105] [420/523] learning_rate: 0.202995 loss_vfl: 1.049076 loss_bbox: 0.449601 loss_dfl: 0.418809 loss: 1.923414 eta: 1 day, 1:58:51 batch_cost: 1.0157 data_cost: 0.0053 ips: 55.1335 images/s [03/18 03:44:37] ppdet.engine INFO: Epoch: [105] [440/523] learning_rate: 0.202945 loss_vfl: 1.065111 loss_bbox: 0.471641 loss_dfl: 0.433754 loss: 1.976115 eta: 1 day, 1:58:36 batch_cost: 1.0024 data_cost: 0.0012 ips: 55.8642 images/s [03/18 03:44:59] ppdet.engine INFO: Epoch: [105] [460/523] learning_rate: 0.202895 loss_vfl: 1.048929 loss_bbox: 0.469085 loss_dfl: 0.429576 loss: 1.954208 eta: 1 day, 1:58:20 batch_cost: 0.9858 data_cost: 0.0056 ips: 56.8090 images/s [03/18 03:45:21] ppdet.engine INFO: Epoch: [105] [480/523] learning_rate: 0.202844 loss_vfl: 1.046297 loss_bbox: 0.461651 loss_dfl: 0.437396 loss: 1.965928 eta: 1 day, 1:58:02 batch_cost: 0.9476 data_cost: 0.0054 ips: 59.0977 images/s [03/18 03:45:44] ppdet.engine INFO: Epoch: [105] [500/523] learning_rate: 0.202794 loss_vfl: 1.103868 loss_bbox: 0.488984 loss_dfl: 0.446792 loss: 2.041948 eta: 1 day, 1:57:48 batch_cost: 1.0347 data_cost: 0.0021 ips: 54.1194 images/s [03/18 03:46:01] ppdet.engine INFO: Epoch: [105] [520/523] learning_rate: 0.202744 loss_vfl: 1.130643 loss_bbox: 0.474298 loss_dfl: 0.434956 loss: 2.035349 eta: 1 day, 1:57:24 batch_cost: 0.7743 data_cost: 0.0026 ips: 72.3250 images/s [03/18 03:46:12] ppdet.engine INFO: Epoch: [106] [ 0/523] learning_rate: 0.202736 loss_vfl: 1.081685 loss_bbox: 0.450645 loss_dfl: 0.420098 loss: 1.944400 eta: 1 day, 1:57:34 batch_cost: 1.0968 data_cost: 0.2404 ips: 51.0561 images/s [03/18 03:46:39] ppdet.engine INFO: Epoch: [106] [ 20/523] learning_rate: 0.202686 loss_vfl: 1.054476 loss_bbox: 0.466573 loss_dfl: 0.427924 loss: 1.940642 eta: 1 day, 1:57:29 batch_cost: 1.2746 data_cost: 0.0017 ips: 43.9363 images/s [03/18 03:46:57] ppdet.engine INFO: Epoch: [106] [ 40/523] learning_rate: 0.202636 loss_vfl: 1.069898 loss_bbox: 0.471220 loss_dfl: 0.428939 loss: 1.990134 eta: 1 day, 1:57:07 batch_cost: 0.8343 data_cost: 0.0011 ips: 67.1254 images/s [03/18 03:47:15] ppdet.engine INFO: Epoch: [106] [ 60/523] learning_rate: 0.202586 loss_vfl: 1.042916 loss_bbox: 0.448607 loss_dfl: 0.423736 loss: 1.909164 eta: 1 day, 1:56:45 batch_cost: 0.8138 data_cost: 0.0031 ips: 68.8123 images/s [03/18 03:47:37] ppdet.engine INFO: Epoch: [106] [ 80/523] learning_rate: 0.202536 loss_vfl: 1.131799 loss_bbox: 0.498359 loss_dfl: 0.462667 loss: 2.062768 eta: 1 day, 1:56:30 batch_cost: 1.0084 data_cost: 0.0038 ips: 55.5361 images/s [03/18 03:48:00] ppdet.engine INFO: Epoch: [106] [100/523] learning_rate: 0.202485 loss_vfl: 1.068649 loss_bbox: 0.503902 loss_dfl: 0.452262 loss: 2.025424 eta: 1 day, 1:56:16 batch_cost: 1.0367 data_cost: 0.0025 ips: 54.0191 images/s [03/18 03:48:23] ppdet.engine INFO: Epoch: [106] [120/523] learning_rate: 0.202435 loss_vfl: 1.066327 loss_bbox: 0.474105 loss_dfl: 0.429557 loss: 1.955599 eta: 1 day, 1:56:03 batch_cost: 1.0939 data_cost: 0.0036 ips: 51.1938 images/s [03/18 03:48:47] ppdet.engine INFO: Epoch: [106] [140/523] learning_rate: 0.202385 loss_vfl: 1.069399 loss_bbox: 0.505094 loss_dfl: 0.458987 loss: 2.044599 eta: 1 day, 1:55:52 batch_cost: 1.1072 data_cost: 0.0014 ips: 50.5780 images/s [03/18 03:49:09] ppdet.engine INFO: Epoch: [106] [160/523] learning_rate: 0.202334 loss_vfl: 1.110992 loss_bbox: 0.490827 loss_dfl: 0.441495 loss: 2.007336 eta: 1 day, 1:55:36 batch_cost: 0.9944 data_cost: 0.0029 ips: 56.3126 images/s [03/18 03:49:34] ppdet.engine INFO: Epoch: [106] [180/523] learning_rate: 0.202284 loss_vfl: 1.082579 loss_bbox: 0.458448 loss_dfl: 0.432555 loss: 1.975538 eta: 1 day, 1:55:26 batch_cost: 1.1523 data_cost: 0.0004 ips: 48.5978 images/s [03/18 03:49:56] ppdet.engine INFO: Epoch: [106] [200/523] learning_rate: 0.202234 loss_vfl: 1.067942 loss_bbox: 0.488735 loss_dfl: 0.434093 loss: 1.996712 eta: 1 day, 1:55:10 batch_cost: 0.9974 data_cost: 0.0020 ips: 56.1474 images/s [03/18 03:50:17] ppdet.engine INFO: Epoch: [106] [220/523] learning_rate: 0.202184 loss_vfl: 1.066414 loss_bbox: 0.448158 loss_dfl: 0.423283 loss: 1.941247 eta: 1 day, 1:54:53 batch_cost: 0.9530 data_cost: 0.0029 ips: 58.7635 images/s [03/18 03:50:40] ppdet.engine INFO: Epoch: [106] [240/523] learning_rate: 0.202133 loss_vfl: 1.042351 loss_bbox: 0.459347 loss_dfl: 0.420806 loss: 1.902902 eta: 1 day, 1:54:42 batch_cost: 1.1109 data_cost: 0.0689 ips: 50.4106 images/s [03/18 03:51:03] ppdet.engine INFO: Epoch: [106] [260/523] learning_rate: 0.202083 loss_vfl: 1.058303 loss_bbox: 0.455783 loss_dfl: 0.410196 loss: 1.918577 eta: 1 day, 1:54:26 batch_cost: 1.0086 data_cost: 0.0237 ips: 55.5221 images/s [03/18 03:51:24] ppdet.engine INFO: Epoch: [106] [280/523] learning_rate: 0.202032 loss_vfl: 1.061363 loss_bbox: 0.475809 loss_dfl: 0.441145 loss: 1.994402 eta: 1 day, 1:54:08 batch_cost: 0.9345 data_cost: 0.1370 ips: 59.9262 images/s [03/18 03:51:44] ppdet.engine INFO: Epoch: [106] [300/523] learning_rate: 0.201982 loss_vfl: 1.076120 loss_bbox: 0.477160 loss_dfl: 0.436137 loss: 1.994255 eta: 1 day, 1:53:47 batch_cost: 0.8505 data_cost: 0.0010 ips: 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[106] [400/523] learning_rate: 0.201730 loss_vfl: 1.060369 loss_bbox: 0.489329 loss_dfl: 0.450273 loss: 1.982224 eta: 1 day, 1:52:25 batch_cost: 1.0155 data_cost: 0.0009 ips: 55.1460 images/s [03/18 03:53:57] ppdet.engine INFO: Epoch: [106] [420/523] learning_rate: 0.201680 loss_vfl: 1.042221 loss_bbox: 0.455641 loss_dfl: 0.419234 loss: 1.906210 eta: 1 day, 1:52:15 batch_cost: 1.1425 data_cost: 0.0036 ips: 49.0158 images/s [03/18 03:54:17] ppdet.engine INFO: Epoch: [106] [440/523] learning_rate: 0.201629 loss_vfl: 1.063723 loss_bbox: 0.456095 loss_dfl: 0.428796 loss: 1.956062 eta: 1 day, 1:51:56 batch_cost: 0.8968 data_cost: 0.0076 ips: 62.4434 images/s [03/18 03:54:40] ppdet.engine INFO: Epoch: [106] [460/523] learning_rate: 0.201579 loss_vfl: 1.066231 loss_bbox: 0.462029 loss_dfl: 0.435050 loss: 1.974862 eta: 1 day, 1:51:42 batch_cost: 1.0640 data_cost: 0.0035 ips: 52.6320 images/s [03/18 03:55:03] ppdet.engine INFO: Epoch: [106] [480/523] learning_rate: 0.201528 loss_vfl: 1.078227 loss_bbox: 0.459968 loss_dfl: 0.438585 loss: 1.977963 eta: 1 day, 1:51:29 batch_cost: 1.0503 data_cost: 0.0024 ips: 53.3205 images/s [03/18 03:55:24] ppdet.engine INFO: Epoch: [106] [500/523] learning_rate: 0.201478 loss_vfl: 1.127570 loss_bbox: 0.500722 loss_dfl: 0.451569 loss: 2.064899 eta: 1 day, 1:51:10 batch_cost: 0.9194 data_cost: 0.0017 ips: 60.9118 images/s [03/18 03:55:42] ppdet.engine INFO: Epoch: [106] [520/523] learning_rate: 0.201427 loss_vfl: 1.095699 loss_bbox: 0.494483 loss_dfl: 0.456771 loss: 2.054041 eta: 1 day, 1:50:49 batch_cost: 0.8599 data_cost: 0.0022 ips: 65.1260 images/s [03/18 03:55:54] ppdet.engine INFO: Epoch: [107] [ 0/523] learning_rate: 0.201420 loss_vfl: 1.054093 loss_bbox: 0.470041 loss_dfl: 0.442133 loss: 1.974872 eta: 1 day, 1:51:00 batch_cost: 1.2123 data_cost: 0.2078 ips: 46.1926 images/s [03/18 03:56:13] ppdet.engine INFO: Epoch: [107] [ 20/523] learning_rate: 0.201369 loss_vfl: 1.061109 loss_bbox: 0.481918 loss_dfl: 0.436316 loss: 1.978987 eta: 1 day, 1:50:40 batch_cost: 0.8833 data_cost: 0.0013 ips: 63.4021 images/s [03/18 03:56:33] ppdet.engine INFO: Epoch: [107] [ 40/523] learning_rate: 0.201319 loss_vfl: 1.041242 loss_bbox: 0.478664 loss_dfl: 0.429788 loss: 1.963835 eta: 1 day, 1:50:22 batch_cost: 0.9122 data_cost: 0.0046 ips: 61.3908 images/s [03/18 03:56:53] ppdet.engine INFO: Epoch: [107] [ 60/523] learning_rate: 0.201268 loss_vfl: 1.074372 loss_bbox: 0.484965 loss_dfl: 0.443180 loss: 2.013985 eta: 1 day, 1:50:04 batch_cost: 0.9366 data_cost: 0.0036 ips: 59.7913 images/s [03/18 03:57:16] ppdet.engine INFO: Epoch: [107] [ 80/523] learning_rate: 0.201218 loss_vfl: 1.092431 loss_bbox: 0.498112 loss_dfl: 0.450457 loss: 2.035525 eta: 1 day, 1:49:49 batch_cost: 1.0308 data_cost: 0.0034 ips: 54.3288 images/s [03/18 03:57:39] ppdet.engine INFO: Epoch: [107] [100/523] learning_rate: 0.201167 loss_vfl: 1.010995 loss_bbox: 0.445187 loss_dfl: 0.417490 loss: 1.878343 eta: 1 day, 1:49:37 batch_cost: 1.0953 data_cost: 0.0044 ips: 51.1276 images/s [03/18 03:58:00] ppdet.engine INFO: Epoch: [107] [120/523] learning_rate: 0.201117 loss_vfl: 1.029471 loss_bbox: 0.457151 loss_dfl: 0.424044 loss: 1.920479 eta: 1 day, 1:49:19 batch_cost: 0.9255 data_cost: 0.0034 ips: 60.5063 images/s [03/18 03:58:25] ppdet.engine INFO: Epoch: [107] [140/523] learning_rate: 0.201066 loss_vfl: 1.034509 loss_bbox: 0.463935 loss_dfl: 0.417719 loss: 1.920710 eta: 1 day, 1:49:07 batch_cost: 1.1209 data_cost: 0.0045 ips: 49.9617 images/s [03/18 03:58:45] ppdet.engine INFO: Epoch: [107] [160/523] learning_rate: 0.201016 loss_vfl: 1.047051 loss_bbox: 0.476924 loss_dfl: 0.430281 loss: 1.952709 eta: 1 day, 1:48:48 batch_cost: 0.8961 data_cost: 0.0014 ips: 62.4958 images/s [03/18 03:59:08] ppdet.engine INFO: Epoch: [107] [180/523] learning_rate: 0.200965 loss_vfl: 1.089641 loss_bbox: 0.483740 loss_dfl: 0.453627 loss: 2.026125 eta: 1 day, 1:48:33 batch_cost: 1.0263 data_cost: 0.0028 ips: 54.5624 images/s [03/18 03:59:31] ppdet.engine INFO: Epoch: [107] [200/523] learning_rate: 0.200915 loss_vfl: 1.007288 loss_bbox: 0.481595 loss_dfl: 0.409737 loss: 1.872721 eta: 1 day, 1:48:21 batch_cost: 1.0819 data_cost: 0.0022 ips: 51.7598 images/s [03/18 03:59:53] ppdet.engine INFO: Epoch: [107] [220/523] learning_rate: 0.200864 loss_vfl: 1.062323 loss_bbox: 0.495146 loss_dfl: 0.432978 loss: 1.952040 eta: 1 day, 1:48:06 batch_cost: 1.0191 data_cost: 0.0020 ips: 54.9493 images/s [03/18 04:00:14] ppdet.engine INFO: Epoch: [107] [240/523] learning_rate: 0.200813 loss_vfl: 1.075189 loss_bbox: 0.466559 loss_dfl: 0.434758 loss: 1.982662 eta: 1 day, 1:47:48 batch_cost: 0.9466 data_cost: 0.0031 ips: 59.1573 images/s [03/18 04:00:34] ppdet.engine INFO: Epoch: [107] [260/523] learning_rate: 0.200763 loss_vfl: 1.012357 loss_bbox: 0.426599 loss_dfl: 0.402561 loss: 1.848152 eta: 1 day, 1:47:29 batch_cost: 0.9040 data_cost: 0.0016 ips: 61.9489 images/s [03/18 04:00:51] ppdet.engine INFO: Epoch: [107] [280/523] learning_rate: 0.200712 loss_vfl: 1.040158 loss_bbox: 0.442430 loss_dfl: 0.410725 loss: 1.873715 eta: 1 day, 1:47:04 batch_cost: 0.7479 data_cost: 0.0016 ips: 74.8810 images/s [03/18 04:01:14] ppdet.engine INFO: Epoch: [107] [300/523] learning_rate: 0.200662 loss_vfl: 1.059916 loss_bbox: 0.466760 loss_dfl: 0.442716 loss: 1.971698 eta: 1 day, 1:46:50 batch_cost: 1.0465 data_cost: 0.0026 ips: 53.5095 images/s [03/18 04:01:34] ppdet.engine INFO: Epoch: [107] [320/523] learning_rate: 0.200611 loss_vfl: 1.105039 loss_bbox: 0.476436 loss_dfl: 0.436373 loss: 2.011255 eta: 1 day, 1:46:31 batch_cost: 0.9132 data_cost: 0.0020 ips: 61.3246 images/s [03/18 04:01:56] ppdet.engine INFO: Epoch: [107] [340/523] learning_rate: 0.200560 loss_vfl: 1.068077 loss_bbox: 0.474007 loss_dfl: 0.425047 loss: 1.957574 eta: 1 day, 1:46:15 batch_cost: 0.9778 data_cost: 0.0028 ips: 57.2723 images/s [03/18 04:02:20] ppdet.engine INFO: Epoch: [107] [360/523] learning_rate: 0.200510 loss_vfl: 1.069373 loss_bbox: 0.480010 loss_dfl: 0.435234 loss: 1.969132 eta: 1 day, 1:46:03 batch_cost: 1.1028 data_cost: 0.0016 ips: 50.7813 images/s [03/18 04:02:40] ppdet.engine INFO: Epoch: [107] [380/523] learning_rate: 0.200459 loss_vfl: 1.091577 loss_bbox: 0.476444 loss_dfl: 0.455274 loss: 2.020393 eta: 1 day, 1:45:44 batch_cost: 0.9109 data_cost: 0.0038 ips: 61.4748 images/s [03/18 04:03:02] ppdet.engine INFO: Epoch: [107] [400/523] learning_rate: 0.200408 loss_vfl: 1.075810 loss_bbox: 0.491676 loss_dfl: 0.437642 loss: 1.996143 eta: 1 day, 1:45:29 batch_cost: 1.0107 data_cost: 0.0039 ips: 55.4077 images/s [03/18 04:03:25] ppdet.engine INFO: Epoch: [107] [420/523] learning_rate: 0.200358 loss_vfl: 1.079173 loss_bbox: 0.481886 loss_dfl: 0.433990 loss: 2.024540 eta: 1 day, 1:45:15 batch_cost: 1.0589 data_cost: 0.0017 ips: 52.8874 images/s [03/18 04:03:47] ppdet.engine INFO: Epoch: [107] [440/523] learning_rate: 0.200307 loss_vfl: 1.087312 loss_bbox: 0.493294 loss_dfl: 0.454279 loss: 2.060071 eta: 1 day, 1:44:56 batch_cost: 0.8989 data_cost: 0.0040 ips: 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[108] [ 0/523] learning_rate: 0.200097 loss_vfl: 1.063870 loss_bbox: 0.482694 loss_dfl: 0.435541 loss: 1.974642 eta: 1 day, 1:43:51 batch_cost: 1.0048 data_cost: 0.2349 ips: 55.7316 images/s [03/18 04:05:37] ppdet.engine INFO: Epoch: [108] [ 20/523] learning_rate: 0.200046 loss_vfl: 1.033127 loss_bbox: 0.466862 loss_dfl: 0.426832 loss: 1.930577 eta: 1 day, 1:43:25 batch_cost: 0.7260 data_cost: 0.0005 ips: 77.1341 images/s [03/18 04:06:01] ppdet.engine INFO: Epoch: [108] [ 40/523] learning_rate: 0.199995 loss_vfl: 1.037101 loss_bbox: 0.471217 loss_dfl: 0.426671 loss: 1.918736 eta: 1 day, 1:43:12 batch_cost: 1.0792 data_cost: 0.0035 ips: 51.8926 images/s [03/18 04:06:22] ppdet.engine INFO: Epoch: [108] [ 60/523] learning_rate: 0.199944 loss_vfl: 1.057423 loss_bbox: 0.470527 loss_dfl: 0.430310 loss: 1.936482 eta: 1 day, 1:42:56 batch_cost: 0.9903 data_cost: 0.0025 ips: 56.5503 images/s [03/18 04:06:46] ppdet.engine INFO: Epoch: [108] [ 80/523] learning_rate: 0.199894 loss_vfl: 1.071726 loss_bbox: 0.480089 loss_dfl: 0.431864 loss: 1.991964 eta: 1 day, 1:42:43 batch_cost: 1.0712 data_cost: 0.0019 ips: 52.2784 images/s [03/18 04:07:08] ppdet.engine INFO: Epoch: [108] [100/523] learning_rate: 0.199843 loss_vfl: 1.084727 loss_bbox: 0.464778 loss_dfl: 0.434985 loss: 1.995269 eta: 1 day, 1:42:29 batch_cost: 1.0407 data_cost: 0.0016 ips: 53.8074 images/s [03/18 04:07:30] ppdet.engine INFO: Epoch: [108] [120/523] learning_rate: 0.199792 loss_vfl: 1.091869 loss_bbox: 0.502462 loss_dfl: 0.453580 loss: 2.079157 eta: 1 day, 1:42:12 batch_cost: 0.9661 data_cost: 0.0003 ips: 57.9628 images/s [03/18 04:07:52] ppdet.engine INFO: Epoch: [108] [140/523] learning_rate: 0.199741 loss_vfl: 1.040550 loss_bbox: 0.458726 loss_dfl: 0.419898 loss: 1.918864 eta: 1 day, 1:41:58 batch_cost: 1.0373 data_cost: 0.0037 ips: 53.9841 images/s [03/18 04:08:16] ppdet.engine INFO: Epoch: [108] [160/523] learning_rate: 0.199690 loss_vfl: 1.091235 loss_bbox: 0.481629 loss_dfl: 0.455100 loss: 2.023180 eta: 1 day, 1:41:45 batch_cost: 1.1012 data_cost: 0.0028 ips: 50.8548 images/s [03/18 04:08:39] ppdet.engine INFO: Epoch: [108] [180/523] learning_rate: 0.199640 loss_vfl: 1.127250 loss_bbox: 0.507908 loss_dfl: 0.458412 loss: 2.091804 eta: 1 day, 1:41:32 batch_cost: 1.0581 data_cost: 0.0032 ips: 52.9261 images/s [03/18 04:08:59] ppdet.engine INFO: Epoch: [108] [200/523] learning_rate: 0.199589 loss_vfl: 1.065882 loss_bbox: 0.474320 loss_dfl: 0.430238 loss: 1.958245 eta: 1 day, 1:41:14 batch_cost: 0.9332 data_cost: 0.0045 ips: 60.0099 images/s [03/18 04:09:21] ppdet.engine INFO: Epoch: [108] [220/523] learning_rate: 0.199538 loss_vfl: 1.124598 loss_bbox: 0.490336 loss_dfl: 0.462109 loss: 2.095037 eta: 1 day, 1:40:56 batch_cost: 0.9496 data_cost: 0.0022 ips: 58.9719 images/s [03/18 04:09:42] ppdet.engine INFO: Epoch: [108] [240/523] learning_rate: 0.199487 loss_vfl: 1.015940 loss_bbox: 0.456355 loss_dfl: 0.412845 loss: 1.881359 eta: 1 day, 1:40:38 batch_cost: 0.9416 data_cost: 0.0014 ips: 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[108] [340/523] learning_rate: 0.199233 loss_vfl: 1.039876 loss_bbox: 0.458121 loss_dfl: 0.428889 loss: 1.921854 eta: 1 day, 1:39:08 batch_cost: 0.9041 data_cost: 0.0203 ips: 61.9410 images/s [03/18 04:11:46] ppdet.engine INFO: Epoch: [108] [360/523] learning_rate: 0.199182 loss_vfl: 1.090019 loss_bbox: 0.487039 loss_dfl: 0.446829 loss: 2.008305 eta: 1 day, 1:38:50 batch_cost: 0.9406 data_cost: 0.0018 ips: 59.5378 images/s [03/18 04:12:08] ppdet.engine INFO: Epoch: [108] [380/523] learning_rate: 0.199131 loss_vfl: 1.122345 loss_bbox: 0.494290 loss_dfl: 0.458187 loss: 2.066860 eta: 1 day, 1:38:36 batch_cost: 1.0330 data_cost: 0.0082 ips: 54.2089 images/s [03/18 04:12:30] ppdet.engine INFO: Epoch: [108] [400/523] learning_rate: 0.199080 loss_vfl: 1.045737 loss_bbox: 0.449950 loss_dfl: 0.416283 loss: 1.913932 eta: 1 day, 1:38:19 batch_cost: 0.9724 data_cost: 0.0044 ips: 57.5888 images/s [03/18 04:12:53] ppdet.engine INFO: Epoch: [108] [420/523] learning_rate: 0.199029 loss_vfl: 1.070121 loss_bbox: 0.466019 loss_dfl: 0.432979 loss: 1.951595 eta: 1 day, 1:38:07 batch_cost: 1.1057 data_cost: 0.0020 ips: 50.6480 images/s [03/18 04:13:14] ppdet.engine INFO: Epoch: [108] [440/523] learning_rate: 0.198978 loss_vfl: 1.108732 loss_bbox: 0.457687 loss_dfl: 0.437665 loss: 1.987531 eta: 1 day, 1:37:49 batch_cost: 0.9367 data_cost: 0.0050 ips: 59.7828 images/s [03/18 04:13:37] ppdet.engine INFO: Epoch: [108] [460/523] learning_rate: 0.198927 loss_vfl: 1.092447 loss_bbox: 0.489035 loss_dfl: 0.454401 loss: 2.045890 eta: 1 day, 1:37:34 batch_cost: 1.0142 data_cost: 0.0101 ips: 55.2144 images/s [03/18 04:13:59] ppdet.engine INFO: Epoch: [108] [480/523] learning_rate: 0.198876 loss_vfl: 1.056768 loss_bbox: 0.462776 loss_dfl: 0.425180 loss: 1.953348 eta: 1 day, 1:37:19 batch_cost: 1.0288 data_cost: 0.0056 ips: 54.4347 images/s [03/18 04:14:19] ppdet.engine INFO: Epoch: [108] [500/523] learning_rate: 0.198825 loss_vfl: 1.092342 loss_bbox: 0.475673 loss_dfl: 0.436858 loss: 1.989105 eta: 1 day, 1:37:01 batch_cost: 0.9531 data_cost: 0.0049 ips: 58.7542 images/s [03/18 04:14:34] ppdet.engine INFO: Epoch: [108] [520/523] learning_rate: 0.198774 loss_vfl: 1.061308 loss_bbox: 0.467152 loss_dfl: 0.435401 loss: 1.953227 eta: 1 day, 1:36:33 batch_cost: 0.6427 data_cost: 0.0080 ips: 87.1259 images/s [03/18 04:14:44] ppdet.engine INFO: Epoch: [109] [ 0/523] learning_rate: 0.198767 loss_vfl: 1.043484 loss_bbox: 0.458970 loss_dfl: 0.429203 loss: 1.920691 eta: 1 day, 1:36:41 batch_cost: 0.9524 data_cost: 0.2541 ips: 58.8011 images/s [03/18 04:15:08] ppdet.engine INFO: Epoch: [109] [ 20/523] learning_rate: 0.198716 loss_vfl: 0.999344 loss_bbox: 0.436698 loss_dfl: 0.402187 loss: 1.797466 eta: 1 day, 1:36:28 batch_cost: 1.0858 data_cost: 0.0120 ips: 51.5727 images/s [03/18 04:15:29] ppdet.engine INFO: Epoch: [109] [ 40/523] learning_rate: 0.198665 loss_vfl: 1.136317 loss_bbox: 0.517663 loss_dfl: 0.468176 loss: 2.142260 eta: 1 day, 1:36:09 batch_cost: 0.9095 data_cost: 0.0062 ips: 61.5725 images/s [03/18 04:15:54] ppdet.engine INFO: Epoch: [109] [ 60/523] learning_rate: 0.198614 loss_vfl: 1.036660 loss_bbox: 0.464229 loss_dfl: 0.431446 loss: 1.947900 eta: 1 day, 1:36:01 batch_cost: 1.2097 data_cost: 0.0033 ips: 46.2918 images/s [03/18 04:16:17] ppdet.engine INFO: Epoch: [109] [ 80/523] learning_rate: 0.198563 loss_vfl: 1.025823 loss_bbox: 0.449642 loss_dfl: 0.421729 loss: 1.884900 eta: 1 day, 1:35:47 batch_cost: 1.0675 data_cost: 0.0044 ips: 52.4613 images/s [03/18 04:16:39] ppdet.engine INFO: Epoch: [109] [100/523] learning_rate: 0.198512 loss_vfl: 1.040822 loss_bbox: 0.466465 loss_dfl: 0.438335 loss: 1.926574 eta: 1 day, 1:35:31 batch_cost: 0.9946 data_cost: 0.0011 ips: 56.3064 images/s [03/18 04:17:02] ppdet.engine INFO: Epoch: [109] [120/523] learning_rate: 0.198461 loss_vfl: 1.053696 loss_bbox: 0.463981 loss_dfl: 0.428021 loss: 1.930885 eta: 1 day, 1:35:18 batch_cost: 1.0721 data_cost: 0.0018 ips: 52.2355 images/s [03/18 04:17:22] ppdet.engine INFO: Epoch: [109] [140/523] learning_rate: 0.198410 loss_vfl: 1.090157 loss_bbox: 0.490253 loss_dfl: 0.448407 loss: 2.049977 eta: 1 day, 1:34:59 batch_cost: 0.8932 data_cost: 0.0015 ips: 62.6953 images/s [03/18 04:17:44] ppdet.engine INFO: Epoch: [109] [160/523] learning_rate: 0.198358 loss_vfl: 1.081645 loss_bbox: 0.485869 loss_dfl: 0.441082 loss: 2.017636 eta: 1 day, 1:34:43 batch_cost: 1.0019 data_cost: 0.0009 ips: 55.8920 images/s [03/18 04:18:07] ppdet.engine INFO: Epoch: [109] [180/523] learning_rate: 0.198307 loss_vfl: 1.019777 loss_bbox: 0.482383 loss_dfl: 0.417140 loss: 1.897880 eta: 1 day, 1:34:30 batch_cost: 1.0705 data_cost: 0.0041 ips: 52.3116 images/s [03/18 04:18:30] ppdet.engine INFO: Epoch: [109] [200/523] learning_rate: 0.198256 loss_vfl: 1.086260 loss_bbox: 0.488379 loss_dfl: 0.457217 loss: 2.019532 eta: 1 day, 1:34:17 batch_cost: 1.0791 data_cost: 0.0019 ips: 51.8969 images/s [03/18 04:18:50] ppdet.engine INFO: Epoch: [109] [220/523] learning_rate: 0.198205 loss_vfl: 1.078084 loss_bbox: 0.482965 loss_dfl: 0.444568 loss: 1.976761 eta: 1 day, 1:33:57 batch_cost: 0.9048 data_cost: 0.0050 ips: 61.8910 images/s [03/18 04:19:09] ppdet.engine INFO: Epoch: [109] [240/523] learning_rate: 0.198154 loss_vfl: 1.092514 loss_bbox: 0.502852 loss_dfl: 0.445336 loss: 2.048395 eta: 1 day, 1:33:37 batch_cost: 0.8575 data_cost: 0.0019 ips: 65.3051 images/s [03/18 04:19:28] ppdet.engine INFO: Epoch: [109] [260/523] learning_rate: 0.198103 loss_vfl: 1.047483 loss_bbox: 0.467074 loss_dfl: 0.431998 loss: 1.947552 eta: 1 day, 1:33:16 batch_cost: 0.8495 data_cost: 0.0036 ips: 65.9237 images/s [03/18 04:19:51] ppdet.engine INFO: Epoch: [109] [280/523] learning_rate: 0.198052 loss_vfl: 1.033554 loss_bbox: 0.465129 loss_dfl: 0.424924 loss: 1.922930 eta: 1 day, 1:33:04 batch_cost: 1.1076 data_cost: 0.0028 ips: 50.5604 images/s [03/18 04:20:13] ppdet.engine INFO: Epoch: [109] [300/523] learning_rate: 0.198001 loss_vfl: 0.999993 loss_bbox: 0.458211 loss_dfl: 0.418640 loss: 1.904933 eta: 1 day, 1:32:47 batch_cost: 0.9691 data_cost: 0.0091 ips: 57.7845 images/s [03/18 04:20:33] ppdet.engine INFO: Epoch: [109] [320/523] learning_rate: 0.197950 loss_vfl: 1.043113 loss_bbox: 0.445434 loss_dfl: 0.420312 loss: 1.879252 eta: 1 day, 1:32:28 batch_cost: 0.9248 data_cost: 0.0043 ips: 60.5506 images/s [03/18 04:20:56] ppdet.engine INFO: Epoch: [109] [340/523] learning_rate: 0.197899 loss_vfl: 1.007045 loss_bbox: 0.450891 loss_dfl: 0.417497 loss: 1.864356 eta: 1 day, 1:32:13 batch_cost: 1.0288 data_cost: 0.0011 ips: 54.4350 images/s [03/18 04:21:16] ppdet.engine INFO: Epoch: [109] [360/523] learning_rate: 0.197847 loss_vfl: 1.046033 loss_bbox: 0.455736 loss_dfl: 0.417243 loss: 1.880849 eta: 1 day, 1:31:54 batch_cost: 0.9083 data_cost: 0.0117 ips: 61.6550 images/s [03/18 04:21:40] ppdet.engine INFO: Epoch: [109] [380/523] learning_rate: 0.197796 loss_vfl: 1.057568 loss_bbox: 0.472156 loss_dfl: 0.419521 loss: 1.924146 eta: 1 day, 1:31:42 batch_cost: 1.0885 data_cost: 0.0044 ips: 51.4473 images/s [03/18 04:22:03] ppdet.engine INFO: Epoch: [109] [400/523] learning_rate: 0.197745 loss_vfl: 1.072012 loss_bbox: 0.473753 loss_dfl: 0.433357 loss: 2.000396 eta: 1 day, 1:31:29 batch_cost: 1.0799 data_cost: 0.0021 ips: 51.8575 images/s [03/18 04:22:24] ppdet.engine INFO: Epoch: [109] [420/523] learning_rate: 0.197694 loss_vfl: 1.036327 loss_bbox: 0.450607 loss_dfl: 0.427695 loss: 1.911284 eta: 1 day, 1:31:12 batch_cost: 0.9652 data_cost: 0.0031 ips: 58.0210 images/s [03/18 04:22:46] ppdet.engine INFO: Epoch: [109] [440/523] learning_rate: 0.197643 loss_vfl: 1.040943 loss_bbox: 0.478912 loss_dfl: 0.442664 loss: 1.957162 eta: 1 day, 1:30:55 batch_cost: 0.9757 data_cost: 0.0028 ips: 57.3976 images/s [03/18 04:23:07] ppdet.engine INFO: Epoch: [109] [460/523] learning_rate: 0.197592 loss_vfl: 1.065609 loss_bbox: 0.470242 loss_dfl: 0.432398 loss: 1.963786 eta: 1 day, 1:30:38 batch_cost: 0.9565 data_cost: 0.0016 ips: 58.5463 images/s [03/18 04:23:29] ppdet.engine INFO: Epoch: [109] [480/523] learning_rate: 0.197540 loss_vfl: 1.022797 loss_bbox: 0.462677 loss_dfl: 0.425304 loss: 1.886086 eta: 1 day, 1:30:22 batch_cost: 1.0131 data_cost: 0.0031 ips: 55.2759 images/s [03/18 04:23:47] ppdet.engine INFO: Epoch: [109] [500/523] learning_rate: 0.197489 loss_vfl: 1.075643 loss_bbox: 0.457042 loss_dfl: 0.418739 loss: 1.928716 eta: 1 day, 1:29:59 batch_cost: 0.7865 data_cost: 0.0026 ips: 71.2022 images/s [03/18 04:24:03] ppdet.engine INFO: Epoch: [109] [520/523] learning_rate: 0.197438 loss_vfl: 1.060309 loss_bbox: 0.492008 loss_dfl: 0.448859 loss: 1.996998 eta: 1 day, 1:29:34 batch_cost: 0.7367 data_cost: 0.0010 ips: 76.0166 images/s [03/18 04:24:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 04:24:06] ppdet.engine INFO: Eval iter: 0 [03/18 04:24:27] ppdet.engine INFO: Eval iter: 100 [03/18 04:24:37] ppdet.engine INFO: Eval iter: 200 [03/18 04:24:48] ppdet.engine INFO: Eval iter: 300 [03/18 04:24:58] ppdet.engine INFO: Eval iter: 400 [03/18 04:25:08] ppdet.engine INFO: Eval iter: 500 [03/18 04:25:18] ppdet.engine INFO: Eval iter: 600 [03/18 04:25:33] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.10s) creating index... index created! [03/18 04:25:34] 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=86.16s). Accumulating evaluation results... DONE (t=17.19s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.224 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.344 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.235 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.073 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.219 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.384 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 ] = 0.381 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.405 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.138 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.441 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.651 [03/18 04:27:25] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.36504354144672 [03/18 04:27:25] ppdet.engine INFO: Best test bbox ap is 0.224. [03/18 04:27:25] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 04:27:25] ppdet.engine INFO: Epoch: [110] [ 0/523] learning_rate: 0.197430 loss_vfl: 1.049533 loss_bbox: 0.484179 loss_dfl: 0.441748 loss: 1.988609 eta: 1 day, 1:29:28 batch_cost: 0.6046 data_cost: 0.0010 ips: 92.6212 images/s [03/18 04:27:40] ppdet.engine INFO: Epoch: [110] [ 20/523] learning_rate: 0.197379 loss_vfl: 1.096103 loss_bbox: 0.475820 loss_dfl: 0.450708 loss: 2.037755 eta: 1 day, 1:29:00 batch_cost: 0.6386 data_cost: 0.0009 ips: 87.6851 images/s [03/18 04:28:00] ppdet.engine INFO: Epoch: [110] [ 40/523] learning_rate: 0.197328 loss_vfl: 1.098804 loss_bbox: 0.489816 loss_dfl: 0.449686 loss: 2.036080 eta: 1 day, 1:28:37 batch_cost: 0.7972 data_cost: 0.0070 ips: 70.2487 images/s [03/18 04:28:21] ppdet.engine INFO: Epoch: [110] [ 60/523] learning_rate: 0.197276 loss_vfl: 1.035202 loss_bbox: 0.466999 loss_dfl: 0.438930 loss: 1.940199 eta: 1 day, 1:28:20 batch_cost: 0.9773 data_cost: 0.1566 ips: 57.2996 images/s [03/18 04:28:42] ppdet.engine INFO: Epoch: [110] [ 80/523] learning_rate: 0.197225 loss_vfl: 1.011644 loss_bbox: 0.447633 loss_dfl: 0.411398 loss: 1.876770 eta: 1 day, 1:28:02 batch_cost: 0.9189 data_cost: 0.0048 ips: 60.9396 images/s [03/18 04:29:05] ppdet.engine INFO: Epoch: [110] [100/523] learning_rate: 0.197174 loss_vfl: 1.071561 loss_bbox: 0.484734 loss_dfl: 0.439118 loss: 1.999816 eta: 1 day, 1:27:46 batch_cost: 1.0160 data_cost: 0.0477 ips: 55.1188 images/s [03/18 04:29:27] ppdet.engine INFO: Epoch: [110] [120/523] learning_rate: 0.197123 loss_vfl: 1.088010 loss_bbox: 0.466760 loss_dfl: 0.442337 loss: 2.015478 eta: 1 day, 1:27:31 batch_cost: 1.0154 data_cost: 0.0205 ips: 55.1533 images/s [03/18 04:29:50] ppdet.engine INFO: Epoch: [110] [140/523] learning_rate: 0.197071 loss_vfl: 0.993820 loss_bbox: 0.449527 loss_dfl: 0.409154 loss: 1.859079 eta: 1 day, 1:27:15 batch_cost: 1.0021 data_cost: 0.0025 ips: 55.8811 images/s [03/18 04:30:15] ppdet.engine INFO: Epoch: [110] [160/523] learning_rate: 0.197020 loss_vfl: 1.042265 loss_bbox: 0.462455 loss_dfl: 0.423069 loss: 1.941533 eta: 1 day, 1:27:03 batch_cost: 1.0947 data_cost: 0.0052 ips: 51.1540 images/s [03/18 04:30:36] ppdet.engine INFO: Epoch: [110] [180/523] learning_rate: 0.196969 loss_vfl: 1.074160 loss_bbox: 0.479491 loss_dfl: 0.430739 loss: 1.979090 eta: 1 day, 1:26:46 batch_cost: 0.9726 data_cost: 0.0016 ips: 57.5753 images/s [03/18 04:30:58] ppdet.engine INFO: Epoch: [110] [200/523] learning_rate: 0.196917 loss_vfl: 1.104988 loss_bbox: 0.484637 loss_dfl: 0.449090 loss: 2.057635 eta: 1 day, 1:26:30 batch_cost: 0.9968 data_cost: 0.2258 ips: 56.1777 images/s [03/18 04:31:20] ppdet.engine INFO: Epoch: [110] [220/523] learning_rate: 0.196866 loss_vfl: 1.067710 loss_bbox: 0.466329 loss_dfl: 0.437784 loss: 1.972336 eta: 1 day, 1:26:16 batch_cost: 1.0471 data_cost: 0.1149 ips: 53.4795 images/s [03/18 04:31:40] ppdet.engine INFO: Epoch: [110] [240/523] learning_rate: 0.196815 loss_vfl: 1.026140 loss_bbox: 0.453360 loss_dfl: 0.423621 loss: 1.915652 eta: 1 day, 1:25:56 batch_cost: 0.8910 data_cost: 0.1152 ips: 62.8519 images/s [03/18 04:32:04] ppdet.engine INFO: Epoch: [110] [260/523] learning_rate: 0.196763 loss_vfl: 1.079634 loss_bbox: 0.476521 loss_dfl: 0.439445 loss: 1.989016 eta: 1 day, 1:25:45 batch_cost: 1.1355 data_cost: 0.0427 ips: 49.3167 images/s [03/18 04:32:24] ppdet.engine INFO: Epoch: [110] [280/523] learning_rate: 0.196712 loss_vfl: 1.022668 loss_bbox: 0.469892 loss_dfl: 0.421459 loss: 1.902871 eta: 1 day, 1:25:25 batch_cost: 0.8890 data_cost: 0.0026 ips: 62.9943 images/s [03/18 04:32:42] ppdet.engine INFO: Epoch: [110] [300/523] learning_rate: 0.196661 loss_vfl: 1.125349 loss_bbox: 0.517933 loss_dfl: 0.458299 loss: 2.119804 eta: 1 day, 1:25:02 batch_cost: 0.7947 data_cost: 0.0010 ips: 70.4646 images/s [03/18 04:33:03] ppdet.engine INFO: Epoch: [110] [320/523] learning_rate: 0.196609 loss_vfl: 1.109040 loss_bbox: 0.497718 loss_dfl: 0.449262 loss: 2.049326 eta: 1 day, 1:24:43 batch_cost: 0.9106 data_cost: 0.0017 ips: 61.4976 images/s [03/18 04:33:23] ppdet.engine INFO: Epoch: [110] [340/523] learning_rate: 0.196558 loss_vfl: 1.108420 loss_bbox: 0.479011 loss_dfl: 0.451863 loss: 2.051766 eta: 1 day, 1:24:24 batch_cost: 0.8908 data_cost: 0.0003 ips: 62.8638 images/s [03/18 04:33:46] ppdet.engine INFO: Epoch: [110] [360/523] learning_rate: 0.196507 loss_vfl: 1.119795 loss_bbox: 0.502582 loss_dfl: 0.455424 loss: 2.069599 eta: 1 day, 1:24:10 batch_cost: 1.0584 data_cost: 0.0015 ips: 52.9081 images/s [03/18 04:34:07] ppdet.engine INFO: Epoch: [110] [380/523] learning_rate: 0.196455 loss_vfl: 1.039469 loss_bbox: 0.478306 loss_dfl: 0.430165 loss: 1.951610 eta: 1 day, 1:23:51 batch_cost: 0.9233 data_cost: 0.0281 ips: 60.6549 images/s [03/18 04:34:28] ppdet.engine INFO: Epoch: [110] [400/523] learning_rate: 0.196404 loss_vfl: 1.068791 loss_bbox: 0.484667 loss_dfl: 0.439968 loss: 1.982527 eta: 1 day, 1:23:33 batch_cost: 0.9246 data_cost: 0.0641 ips: 60.5651 images/s [03/18 04:34:52] ppdet.engine INFO: Epoch: [110] [420/523] learning_rate: 0.196352 loss_vfl: 1.014385 loss_bbox: 0.476129 loss_dfl: 0.414197 loss: 1.906778 eta: 1 day, 1:23:19 batch_cost: 1.0700 data_cost: 0.0387 ips: 52.3353 images/s [03/18 04:35:13] ppdet.engine INFO: Epoch: [110] [440/523] learning_rate: 0.196301 loss_vfl: 1.096220 loss_bbox: 0.486700 loss_dfl: 0.445734 loss: 2.020964 eta: 1 day, 1:23:01 batch_cost: 0.9360 data_cost: 0.0052 ips: 59.8286 images/s [03/18 04:35:36] ppdet.engine INFO: Epoch: [110] [460/523] learning_rate: 0.196250 loss_vfl: 1.034760 loss_bbox: 0.452260 loss_dfl: 0.429279 loss: 1.922570 eta: 1 day, 1:22:47 batch_cost: 1.0505 data_cost: 0.0023 ips: 53.3058 images/s [03/18 04:35:59] ppdet.engine INFO: Epoch: [110] [480/523] learning_rate: 0.196198 loss_vfl: 1.047465 loss_bbox: 0.478287 loss_dfl: 0.430692 loss: 1.978283 eta: 1 day, 1:22:33 batch_cost: 1.0493 data_cost: 0.0068 ips: 53.3666 images/s [03/18 04:36:18] ppdet.engine INFO: Epoch: [110] [500/523] learning_rate: 0.196147 loss_vfl: 1.050329 loss_bbox: 0.479192 loss_dfl: 0.426650 loss: 1.946662 eta: 1 day, 1:22:14 batch_cost: 0.8980 data_cost: 0.0053 ips: 62.3638 images/s [03/18 04:36:37] ppdet.engine INFO: Epoch: [110] [520/523] learning_rate: 0.196095 loss_vfl: 1.022979 loss_bbox: 0.455394 loss_dfl: 0.426984 loss: 1.899206 eta: 1 day, 1:21:52 batch_cost: 0.8218 data_cost: 0.0043 ips: 68.1403 images/s [03/18 04:36:50] ppdet.engine INFO: Epoch: [111] [ 0/523] learning_rate: 0.196087 loss_vfl: 1.015631 loss_bbox: 0.443976 loss_dfl: 0.423005 loss: 1.878660 eta: 1 day, 1:22:05 batch_cost: 1.2692 data_cost: 0.3382 ips: 44.1230 images/s [03/18 04:37:09] ppdet.engine INFO: Epoch: [111] [ 20/523] learning_rate: 0.196036 loss_vfl: 1.074007 loss_bbox: 0.485423 loss_dfl: 0.444695 loss: 2.014352 eta: 1 day, 1:21:45 batch_cost: 0.8706 data_cost: 0.0014 ips: 64.3217 images/s [03/18 04:37:28] ppdet.engine INFO: Epoch: [111] [ 40/523] learning_rate: 0.195985 loss_vfl: 1.087975 loss_bbox: 0.481295 loss_dfl: 0.448585 loss: 2.022285 eta: 1 day, 1:21:23 batch_cost: 0.8251 data_cost: 0.0021 ips: 67.8716 images/s [03/18 04:37:48] ppdet.engine INFO: Epoch: [111] [ 60/523] learning_rate: 0.195933 loss_vfl: 1.114762 loss_bbox: 0.492061 loss_dfl: 0.443526 loss: 2.046785 eta: 1 day, 1:21:05 batch_cost: 0.9440 data_cost: 0.0017 ips: 59.3231 images/s [03/18 04:38:12] ppdet.engine INFO: Epoch: [111] [ 80/523] learning_rate: 0.195882 loss_vfl: 1.061835 loss_bbox: 0.455350 loss_dfl: 0.428401 loss: 1.949864 eta: 1 day, 1:20:52 batch_cost: 1.0738 data_cost: 0.0058 ips: 52.1507 images/s [03/18 04:38:32] ppdet.engine INFO: Epoch: [111] [100/523] learning_rate: 0.195830 loss_vfl: 1.009665 loss_bbox: 0.465134 loss_dfl: 0.425861 loss: 1.905734 eta: 1 day, 1:20:32 batch_cost: 0.8840 data_cost: 0.0023 ips: 63.3452 images/s [03/18 04:38:56] ppdet.engine INFO: Epoch: [111] [120/523] learning_rate: 0.195779 loss_vfl: 1.069149 loss_bbox: 0.451386 loss_dfl: 0.428244 loss: 1.956833 eta: 1 day, 1:20:21 batch_cost: 1.1453 data_cost: 0.0009 ips: 48.8948 images/s [03/18 04:39:20] ppdet.engine INFO: Epoch: [111] [140/523] learning_rate: 0.195727 loss_vfl: 1.081956 loss_bbox: 0.489312 loss_dfl: 0.440682 loss: 1.997560 eta: 1 day, 1:20:09 batch_cost: 1.1069 data_cost: 0.0011 ips: 50.5902 images/s [03/18 04:39:43] ppdet.engine INFO: Epoch: [111] [160/523] learning_rate: 0.195675 loss_vfl: 1.077328 loss_bbox: 0.477678 loss_dfl: 0.443333 loss: 2.014885 eta: 1 day, 1:19:55 batch_cost: 1.0638 data_cost: 0.0052 ips: 52.6415 images/s [03/18 04:40:04] ppdet.engine INFO: Epoch: [111] [180/523] learning_rate: 0.195624 loss_vfl: 1.068533 loss_bbox: 0.466759 loss_dfl: 0.429954 loss: 1.948061 eta: 1 day, 1:19:38 batch_cost: 0.9830 data_cost: 0.0088 ips: 56.9657 images/s [03/18 04:40:26] ppdet.engine INFO: Epoch: [111] [200/523] learning_rate: 0.195572 loss_vfl: 1.081015 loss_bbox: 0.463797 loss_dfl: 0.432181 loss: 1.978324 eta: 1 day, 1:19:23 batch_cost: 1.0150 data_cost: 0.0046 ips: 55.1750 images/s [03/18 04:40:47] ppdet.engine INFO: Epoch: [111] [220/523] learning_rate: 0.195521 loss_vfl: 1.025832 loss_bbox: 0.451128 loss_dfl: 0.412782 loss: 1.888836 eta: 1 day, 1:19:06 batch_cost: 0.9644 data_cost: 0.0048 ips: 58.0652 images/s [03/18 04:41:11] ppdet.engine INFO: Epoch: [111] [240/523] learning_rate: 0.195469 loss_vfl: 1.053346 loss_bbox: 0.491652 loss_dfl: 0.444757 loss: 1.980500 eta: 1 day, 1:18:53 batch_cost: 1.0758 data_cost: 0.0032 ips: 52.0548 images/s [03/18 04:41:30] ppdet.engine INFO: Epoch: [111] [260/523] learning_rate: 0.195418 loss_vfl: 1.050941 loss_bbox: 0.464211 loss_dfl: 0.419276 loss: 1.890148 eta: 1 day, 1:18:33 batch_cost: 0.8900 data_cost: 0.0038 ips: 62.9222 images/s [03/18 04:41:49] ppdet.engine INFO: Epoch: [111] [280/523] learning_rate: 0.195366 loss_vfl: 1.066906 loss_bbox: 0.475139 loss_dfl: 0.439368 loss: 1.994242 eta: 1 day, 1:18:12 batch_cost: 0.8600 data_cost: 0.0050 ips: 65.1164 images/s [03/18 04:42:07] ppdet.engine INFO: Epoch: [111] [300/523] learning_rate: 0.195314 loss_vfl: 1.125764 loss_bbox: 0.495884 loss_dfl: 0.457650 loss: 2.081621 eta: 1 day, 1:17:50 batch_cost: 0.8244 data_cost: 0.0011 ips: 67.9270 images/s [03/18 04:42:31] ppdet.engine INFO: Epoch: [111] [320/523] learning_rate: 0.195263 loss_vfl: 1.039853 loss_bbox: 0.449209 loss_dfl: 0.408464 loss: 1.882004 eta: 1 day, 1:17:38 batch_cost: 1.0947 data_cost: 0.0039 ips: 51.1574 images/s [03/18 04:42:54] ppdet.engine INFO: Epoch: [111] [340/523] learning_rate: 0.195211 loss_vfl: 0.996695 loss_bbox: 0.435819 loss_dfl: 0.399883 loss: 1.832537 eta: 1 day, 1:17:24 batch_cost: 1.0580 data_cost: 0.0024 ips: 52.9298 images/s [03/18 04:43:16] ppdet.engine INFO: Epoch: [111] [360/523] learning_rate: 0.195160 loss_vfl: 1.060569 loss_bbox: 0.468878 loss_dfl: 0.426651 loss: 1.969751 eta: 1 day, 1:17:09 batch_cost: 1.0336 data_cost: 0.0014 ips: 54.1791 images/s [03/18 04:43:36] ppdet.engine INFO: Epoch: [111] [380/523] learning_rate: 0.195108 loss_vfl: 1.052191 loss_bbox: 0.468087 loss_dfl: 0.427503 loss: 1.946164 eta: 1 day, 1:16:47 batch_cost: 0.8304 data_cost: 0.0038 ips: 67.4339 images/s [03/18 04:44:00] ppdet.engine INFO: Epoch: [111] [400/523] learning_rate: 0.195056 loss_vfl: 1.049731 loss_bbox: 0.448453 loss_dfl: 0.424197 loss: 1.906699 eta: 1 day, 1:16:35 batch_cost: 1.0962 data_cost: 0.0071 ips: 51.0835 images/s [03/18 04:44:21] ppdet.engine INFO: Epoch: [111] [420/523] learning_rate: 0.195005 loss_vfl: 1.086564 loss_bbox: 0.484169 loss_dfl: 0.451776 loss: 2.055739 eta: 1 day, 1:16:17 batch_cost: 0.9627 data_cost: 0.0018 ips: 58.1701 images/s [03/18 04:44:42] ppdet.engine INFO: Epoch: [111] [440/523] learning_rate: 0.194953 loss_vfl: 1.091338 loss_bbox: 0.481646 loss_dfl: 0.442192 loss: 2.009317 eta: 1 day, 1:16:01 batch_cost: 0.9967 data_cost: 0.0039 ips: 56.1842 images/s [03/18 04:45:05] ppdet.engine INFO: Epoch: [111] [460/523] learning_rate: 0.194901 loss_vfl: 1.054754 loss_bbox: 0.459115 loss_dfl: 0.424110 loss: 1.931946 eta: 1 day, 1:15:46 batch_cost: 1.0214 data_cost: 0.0043 ips: 54.8250 images/s [03/18 04:45:25] ppdet.engine INFO: Epoch: [111] [480/523] learning_rate: 0.194850 loss_vfl: 1.085321 loss_bbox: 0.476649 loss_dfl: 0.435897 loss: 1.986654 eta: 1 day, 1:15:26 batch_cost: 0.8806 data_cost: 0.0006 ips: 63.5931 images/s [03/18 04:45:47] ppdet.engine INFO: Epoch: [111] [500/523] learning_rate: 0.194798 loss_vfl: 1.088972 loss_bbox: 0.492298 loss_dfl: 0.452198 loss: 2.062644 eta: 1 day, 1:15:11 batch_cost: 1.0156 data_cost: 0.0039 ips: 55.1411 images/s [03/18 04:46:05] ppdet.engine INFO: Epoch: [111] [520/523] learning_rate: 0.194746 loss_vfl: 1.009927 loss_bbox: 0.460423 loss_dfl: 0.421172 loss: 1.887744 eta: 1 day, 1:14:48 batch_cost: 0.7893 data_cost: 0.0003 ips: 70.9495 images/s [03/18 04:46:16] ppdet.engine INFO: Epoch: [112] [ 0/523] learning_rate: 0.194739 loss_vfl: 1.007364 loss_bbox: 0.460423 loss_dfl: 0.421172 loss: 1.885893 eta: 1 day, 1:14:57 batch_cost: 1.1419 data_cost: 0.1867 ips: 49.0410 images/s [03/18 04:46:34] ppdet.engine INFO: Epoch: [112] [ 20/523] learning_rate: 0.194687 loss_vfl: 1.113978 loss_bbox: 0.470551 loss_dfl: 0.445956 loss: 2.052426 eta: 1 day, 1:14:36 batch_cost: 0.8483 data_cost: 0.0019 ips: 66.0176 images/s [03/18 04:46:58] ppdet.engine INFO: Epoch: [112] [ 40/523] learning_rate: 0.194635 loss_vfl: 1.096868 loss_bbox: 0.481203 loss_dfl: 0.449125 loss: 2.036618 eta: 1 day, 1:14:23 batch_cost: 1.1069 data_cost: 0.0048 ips: 50.5895 images/s [03/18 04:47:20] ppdet.engine INFO: Epoch: [112] [ 60/523] learning_rate: 0.194583 loss_vfl: 1.124727 loss_bbox: 0.475203 loss_dfl: 0.431999 loss: 2.022296 eta: 1 day, 1:14:06 batch_cost: 0.9682 data_cost: 0.0037 ips: 57.8373 images/s [03/18 04:47:43] ppdet.engine INFO: Epoch: [112] [ 80/523] learning_rate: 0.194532 loss_vfl: 1.021368 loss_bbox: 0.449999 loss_dfl: 0.414338 loss: 1.850314 eta: 1 day, 1:13:53 batch_cost: 1.0799 data_cost: 0.0015 ips: 51.8550 images/s [03/18 04:48:06] ppdet.engine INFO: Epoch: [112] [100/523] learning_rate: 0.194480 loss_vfl: 1.091584 loss_bbox: 0.480027 loss_dfl: 0.435101 loss: 2.016835 eta: 1 day, 1:13:36 batch_cost: 0.9754 data_cost: 0.0011 ips: 57.4115 images/s [03/18 04:48:29] ppdet.engine INFO: Epoch: [112] [120/523] learning_rate: 0.194428 loss_vfl: 1.065512 loss_bbox: 0.475698 loss_dfl: 0.434252 loss: 1.969058 eta: 1 day, 1:13:23 batch_cost: 1.0663 data_cost: 0.0009 ips: 52.5163 images/s [03/18 04:48:53] ppdet.engine INFO: Epoch: [112] [140/523] learning_rate: 0.194376 loss_vfl: 1.040835 loss_bbox: 0.450439 loss_dfl: 0.418585 loss: 1.917217 eta: 1 day, 1:13:10 batch_cost: 1.0976 data_cost: 0.0032 ips: 51.0212 images/s [03/18 04:49:18] ppdet.engine INFO: Epoch: [112] [160/523] learning_rate: 0.194325 loss_vfl: 1.075565 loss_bbox: 0.484914 loss_dfl: 0.435089 loss: 1.974936 eta: 1 day, 1:12:58 batch_cost: 1.1199 data_cost: 0.0027 ips: 50.0026 images/s [03/18 04:49:39] ppdet.engine INFO: Epoch: [112] 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loss_bbox: 0.465832 loss_dfl: 0.440349 loss: 1.972319 eta: 1 day, 1:11:25 batch_cost: 0.8279 data_cost: 0.0029 ips: 67.6398 images/s [03/18 04:51:23] ppdet.engine INFO: Epoch: [112] [280/523] learning_rate: 0.194014 loss_vfl: 1.038876 loss_bbox: 0.469232 loss_dfl: 0.417242 loss: 1.904417 eta: 1 day, 1:11:11 batch_cost: 1.0489 data_cost: 0.0036 ips: 53.3897 images/s [03/18 04:51:44] ppdet.engine INFO: Epoch: [112] [300/523] learning_rate: 0.193962 loss_vfl: 1.058363 loss_bbox: 0.483440 loss_dfl: 0.440405 loss: 1.960721 eta: 1 day, 1:10:54 batch_cost: 0.9629 data_cost: 0.0084 ips: 58.1601 images/s [03/18 04:52:05] ppdet.engine INFO: Epoch: [112] [320/523] learning_rate: 0.193910 loss_vfl: 1.046030 loss_bbox: 0.445084 loss_dfl: 0.409184 loss: 1.868824 eta: 1 day, 1:10:37 batch_cost: 0.9927 data_cost: 0.0017 ips: 56.4118 images/s [03/18 04:52:31] ppdet.engine INFO: Epoch: [112] [340/523] learning_rate: 0.193858 loss_vfl: 1.078518 loss_bbox: 0.483709 loss_dfl: 0.433096 loss: 2.013825 eta: 1 day, 1:10:27 batch_cost: 1.1596 data_cost: 0.0057 ips: 48.2922 images/s [03/18 04:52:53] ppdet.engine INFO: Epoch: [112] [360/523] learning_rate: 0.193807 loss_vfl: 1.096278 loss_bbox: 0.489782 loss_dfl: 0.441608 loss: 2.037730 eta: 1 day, 1:10:11 batch_cost: 1.0101 data_cost: 0.0003 ips: 55.4419 images/s [03/18 04:53:14] ppdet.engine INFO: Epoch: [112] [380/523] learning_rate: 0.193755 loss_vfl: 1.020675 loss_bbox: 0.467345 loss_dfl: 0.433940 loss: 1.936348 eta: 1 day, 1:09:53 batch_cost: 0.9474 data_cost: 0.0089 ips: 59.1062 images/s [03/18 04:53:37] ppdet.engine INFO: Epoch: [112] [400/523] learning_rate: 0.193703 loss_vfl: 1.121299 loss_bbox: 0.512828 loss_dfl: 0.457823 loss: 2.115448 eta: 1 day, 1:09:40 batch_cost: 1.0669 data_cost: 0.0050 ips: 52.4870 images/s [03/18 04:54:00] ppdet.engine INFO: Epoch: [112] [420/523] learning_rate: 0.193651 loss_vfl: 1.047629 loss_bbox: 0.482622 loss_dfl: 0.440452 loss: 1.955637 eta: 1 day, 1:09:23 batch_cost: 0.9931 data_cost: 0.0004 ips: 56.3880 images/s [03/18 04:54:21] ppdet.engine INFO: Epoch: [112] [440/523] learning_rate: 0.193599 loss_vfl: 1.063108 loss_bbox: 0.483505 loss_dfl: 0.446538 loss: 2.006381 eta: 1 day, 1:09:06 batch_cost: 0.9469 data_cost: 0.0046 ips: 59.1412 images/s [03/18 04:54:44] ppdet.engine INFO: Epoch: [112] [460/523] learning_rate: 0.193547 loss_vfl: 1.021658 loss_bbox: 0.433523 loss_dfl: 0.405363 loss: 1.866240 eta: 1 day, 1:08:52 batch_cost: 1.0648 data_cost: 0.0015 ips: 52.5929 images/s [03/18 04:55:06] ppdet.engine INFO: Epoch: [112] [480/523] learning_rate: 0.193495 loss_vfl: 1.031199 loss_bbox: 0.462941 loss_dfl: 0.429186 loss: 1.925931 eta: 1 day, 1:08:35 batch_cost: 0.9743 data_cost: 0.0050 ips: 57.4774 images/s [03/18 04:55:23] ppdet.engine INFO: Epoch: [112] [500/523] learning_rate: 0.193443 loss_vfl: 1.030334 loss_bbox: 0.465617 loss_dfl: 0.433692 loss: 1.925956 eta: 1 day, 1:08:10 batch_cost: 0.7263 data_cost: 0.0018 ips: 77.1044 images/s [03/18 04:55:38] ppdet.engine INFO: Epoch: [112] [520/523] learning_rate: 0.193391 loss_vfl: 1.024730 loss_bbox: 0.437525 loss_dfl: 0.411412 loss: 1.852936 eta: 1 day, 1:07:43 batch_cost: 0.6721 data_cost: 0.0017 ips: 83.3147 images/s [03/18 04:55:49] ppdet.engine INFO: Epoch: [113] [ 0/523] learning_rate: 0.193384 loss_vfl: 1.012144 loss_bbox: 0.445996 loss_dfl: 0.415357 loss: 1.852936 eta: 1 day, 1:07:51 batch_cost: 1.0223 data_cost: 0.2383 ips: 54.7795 images/s [03/18 04:56:12] ppdet.engine INFO: Epoch: [113] [ 20/523] learning_rate: 0.193332 loss_vfl: 1.089262 loss_bbox: 0.505997 loss_dfl: 0.459228 loss: 2.062468 eta: 1 day, 1:07:37 batch_cost: 1.0508 data_cost: 0.0018 ips: 53.2933 images/s [03/18 04:56:35] ppdet.engine INFO: Epoch: [113] [ 40/523] learning_rate: 0.193280 loss_vfl: 1.139289 loss_bbox: 0.476942 loss_dfl: 0.440057 loss: 2.035063 eta: 1 day, 1:07:24 batch_cost: 1.0867 data_cost: 0.0017 ips: 51.5303 images/s [03/18 04:57:00] ppdet.engine INFO: Epoch: [113] [ 60/523] learning_rate: 0.193228 loss_vfl: 1.073529 loss_bbox: 0.474454 loss_dfl: 0.443134 loss: 1.989459 eta: 1 day, 1:07:12 batch_cost: 1.1399 data_cost: 0.0013 ips: 49.1250 images/s [03/18 04:57:23] ppdet.engine INFO: Epoch: [113] [ 80/523] learning_rate: 0.193176 loss_vfl: 1.082294 loss_bbox: 0.459843 loss_dfl: 0.423222 loss: 1.968924 eta: 1 day, 1:06:58 batch_cost: 1.0516 data_cost: 0.0016 ips: 53.2511 images/s [03/18 04:57:45] ppdet.engine INFO: Epoch: [113] [100/523] learning_rate: 0.193124 loss_vfl: 1.039039 loss_bbox: 0.440324 loss_dfl: 0.414459 loss: 1.895459 eta: 1 day, 1:06:42 batch_cost: 1.0158 data_cost: 0.0004 ips: 55.1277 images/s [03/18 04:58:06] ppdet.engine INFO: Epoch: [113] [120/523] learning_rate: 0.193072 loss_vfl: 1.072278 loss_bbox: 0.460573 loss_dfl: 0.437317 loss: 1.987776 eta: 1 day, 1:06:24 batch_cost: 0.9259 data_cost: 0.0038 ips: 60.4791 images/s [03/18 04:58:31] ppdet.engine INFO: Epoch: [113] [140/523] learning_rate: 0.193020 loss_vfl: 1.080473 loss_bbox: 0.477996 loss_dfl: 0.444856 loss: 2.038431 eta: 1 day, 1:06:13 batch_cost: 1.1542 data_cost: 0.0010 ips: 48.5168 images/s [03/18 04:58:51] ppdet.engine INFO: Epoch: [113] [160/523] learning_rate: 0.192968 loss_vfl: 1.066680 loss_bbox: 0.486770 loss_dfl: 0.441433 loss: 1.991122 eta: 1 day, 1:05:54 batch_cost: 0.9042 data_cost: 0.0019 ips: 61.9313 images/s [03/18 04:59:14] ppdet.engine INFO: Epoch: [113] [180/523] learning_rate: 0.192916 loss_vfl: 1.071171 loss_bbox: 0.492609 loss_dfl: 0.447107 loss: 2.009317 eta: 1 day, 1:05:40 batch_cost: 1.0734 data_cost: 0.0043 ips: 52.1714 images/s [03/18 04:59:37] ppdet.engine INFO: Epoch: [113] [200/523] learning_rate: 0.192864 loss_vfl: 1.025668 loss_bbox: 0.464202 loss_dfl: 0.425024 loss: 1.904725 eta: 1 day, 1:05:25 batch_cost: 1.0156 data_cost: 0.0060 ips: 55.1417 images/s [03/18 04:59:54] ppdet.engine INFO: Epoch: [113] [220/523] learning_rate: 0.192812 loss_vfl: 1.042401 loss_bbox: 0.468021 loss_dfl: 0.426293 loss: 1.912522 eta: 1 day, 1:05:00 batch_cost: 0.7488 data_cost: 0.0029 ips: 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[113] [320/523] learning_rate: 0.192552 loss_vfl: 1.025099 loss_bbox: 0.450586 loss_dfl: 0.427298 loss: 1.894343 eta: 1 day, 1:03:39 batch_cost: 1.0279 data_cost: 0.0045 ips: 54.4797 images/s [03/18 05:02:04] ppdet.engine INFO: Epoch: [113] [340/523] learning_rate: 0.192500 loss_vfl: 1.065193 loss_bbox: 0.479087 loss_dfl: 0.447411 loss: 2.008392 eta: 1 day, 1:03:19 batch_cost: 0.9074 data_cost: 0.0028 ips: 61.7155 images/s [03/18 05:02:27] ppdet.engine INFO: Epoch: [113] [360/523] learning_rate: 0.192448 loss_vfl: 1.077532 loss_bbox: 0.463800 loss_dfl: 0.424269 loss: 1.973203 eta: 1 day, 1:03:04 batch_cost: 1.0101 data_cost: 0.0020 ips: 55.4393 images/s [03/18 05:02:50] ppdet.engine INFO: Epoch: [113] [380/523] learning_rate: 0.192395 loss_vfl: 1.067312 loss_bbox: 0.464138 loss_dfl: 0.425834 loss: 1.983253 eta: 1 day, 1:02:50 batch_cost: 1.0634 data_cost: 0.0029 ips: 52.6634 images/s [03/18 05:03:14] ppdet.engine INFO: Epoch: [113] [400/523] learning_rate: 0.192343 loss_vfl: 1.035766 loss_bbox: 0.468628 loss_dfl: 0.427305 loss: 1.955831 eta: 1 day, 1:02:36 batch_cost: 1.0859 data_cost: 0.0021 ips: 51.5725 images/s [03/18 05:03:36] ppdet.engine INFO: Epoch: [113] [420/523] learning_rate: 0.192291 loss_vfl: 1.015715 loss_bbox: 0.456598 loss_dfl: 0.427581 loss: 1.910474 eta: 1 day, 1:02:20 batch_cost: 0.9892 data_cost: 0.0018 ips: 56.6092 images/s [03/18 05:03:56] ppdet.engine INFO: Epoch: [113] [440/523] learning_rate: 0.192239 loss_vfl: 1.078607 loss_bbox: 0.474442 loss_dfl: 0.440457 loss: 2.009084 eta: 1 day, 1:02:00 batch_cost: 0.8763 data_cost: 0.0029 ips: 63.9062 images/s [03/18 05:04:18] ppdet.engine INFO: Epoch: [113] [460/523] learning_rate: 0.192187 loss_vfl: 1.100978 loss_bbox: 0.462882 loss_dfl: 0.427080 loss: 1.984255 eta: 1 day, 1:01:44 batch_cost: 0.9989 data_cost: 0.0030 ips: 56.0594 images/s [03/18 05:04:35] ppdet.engine INFO: Epoch: [113] [480/523] learning_rate: 0.192135 loss_vfl: 1.040223 loss_bbox: 0.449427 loss_dfl: 0.417166 loss: 1.893769 eta: 1 day, 1:01:19 batch_cost: 0.7451 data_cost: 0.0016 ips: 75.1542 images/s [03/18 05:04:53] ppdet.engine INFO: Epoch: [113] [500/523] learning_rate: 0.192083 loss_vfl: 1.054865 loss_bbox: 0.476229 loss_dfl: 0.449277 loss: 1.990058 eta: 1 day, 1:00:58 batch_cost: 0.8318 data_cost: 0.0044 ips: 67.3260 images/s [03/18 05:05:12] ppdet.engine INFO: Epoch: [113] [520/523] learning_rate: 0.192031 loss_vfl: 1.143952 loss_bbox: 0.513224 loss_dfl: 0.470447 loss: 2.144155 eta: 1 day, 1:00:37 batch_cost: 0.8450 data_cost: 0.0012 ips: 66.2687 images/s [03/18 05:05:24] ppdet.engine INFO: Epoch: [114] [ 0/523] learning_rate: 0.192023 loss_vfl: 1.075734 loss_bbox: 0.491899 loss_dfl: 0.457845 loss: 2.040615 eta: 1 day, 1:00:47 batch_cost: 1.2605 data_cost: 0.3715 ips: 44.4267 images/s [03/18 05:05:45] ppdet.engine INFO: Epoch: [114] [ 20/523] learning_rate: 0.191971 loss_vfl: 1.117980 loss_bbox: 0.493517 loss_dfl: 0.453646 loss: 2.094417 eta: 1 day, 1:00:26 batch_cost: 0.8348 data_cost: 0.0040 ips: 67.0849 images/s [03/18 05:06:08] ppdet.engine INFO: Epoch: [114] [ 40/523] learning_rate: 0.191918 loss_vfl: 1.076092 loss_bbox: 0.459007 loss_dfl: 0.444599 loss: 1.978357 eta: 1 day, 1:00:11 batch_cost: 1.0315 data_cost: 0.0083 ips: 54.2886 images/s [03/18 05:06:31] ppdet.engine INFO: Epoch: [114] [ 60/523] learning_rate: 0.191866 loss_vfl: 1.070648 loss_bbox: 0.481310 loss_dfl: 0.441074 loss: 1.992542 eta: 1 day, 0:59:56 batch_cost: 1.0470 data_cost: 0.0034 ips: 53.4839 images/s [03/18 05:06:51] ppdet.engine INFO: Epoch: [114] [ 80/523] learning_rate: 0.191814 loss_vfl: 1.147046 loss_bbox: 0.503756 loss_dfl: 0.461205 loss: 2.109687 eta: 1 day, 0:59:36 batch_cost: 0.8858 data_cost: 0.0038 ips: 63.2207 images/s [03/18 05:07:12] ppdet.engine INFO: Epoch: [114] [100/523] learning_rate: 0.191762 loss_vfl: 1.079711 loss_bbox: 0.481645 loss_dfl: 0.436576 loss: 1.993575 eta: 1 day, 0:59:16 batch_cost: 0.8855 data_cost: 0.0028 ips: 63.2396 images/s [03/18 05:07:33] ppdet.engine INFO: Epoch: [114] [120/523] learning_rate: 0.191710 loss_vfl: 1.107947 loss_bbox: 0.482634 loss_dfl: 0.449943 loss: 2.053528 eta: 1 day, 0:58:59 batch_cost: 0.9446 data_cost: 0.0063 ips: 59.2835 images/s [03/18 05:07:55] ppdet.engine INFO: Epoch: [114] [140/523] learning_rate: 0.191658 loss_vfl: 1.062888 loss_bbox: 0.470412 loss_dfl: 0.443573 loss: 1.968233 eta: 1 day, 0:58:41 batch_cost: 0.9611 data_cost: 0.0038 ips: 58.2670 images/s [03/18 05:08:17] ppdet.engine INFO: Epoch: [114] [160/523] learning_rate: 0.191605 loss_vfl: 1.069122 loss_bbox: 0.458571 loss_dfl: 0.427544 loss: 1.947780 eta: 1 day, 0:58:25 batch_cost: 0.9986 data_cost: 0.0069 ips: 56.0793 images/s [03/18 05:08:37] ppdet.engine INFO: Epoch: [114] [180/523] learning_rate: 0.191553 loss_vfl: 1.093247 loss_bbox: 0.489204 loss_dfl: 0.452194 loss: 2.042267 eta: 1 day, 0:58:06 batch_cost: 0.9076 data_cost: 0.0057 ips: 61.7040 images/s [03/18 05:08:59] ppdet.engine INFO: Epoch: [114] [200/523] learning_rate: 0.191501 loss_vfl: 1.089096 loss_bbox: 0.472155 loss_dfl: 0.448201 loss: 2.017474 eta: 1 day, 0:57:47 batch_cost: 0.9146 data_cost: 0.0040 ips: 61.2266 images/s [03/18 05:09:16] ppdet.engine INFO: Epoch: [114] [220/523] learning_rate: 0.191449 loss_vfl: 1.048889 loss_bbox: 0.449640 loss_dfl: 0.407025 loss: 1.910408 eta: 1 day, 0:57:24 batch_cost: 0.7958 data_cost: 0.0042 ips: 70.3680 images/s [03/18 05:09:34] ppdet.engine INFO: Epoch: [114] [240/523] learning_rate: 0.191396 loss_vfl: 1.134537 loss_bbox: 0.503330 loss_dfl: 0.471644 loss: 2.134035 eta: 1 day, 0:57:00 batch_cost: 0.7450 data_cost: 0.0038 ips: 75.1723 images/s [03/18 05:09:58] ppdet.engine INFO: Epoch: [114] [260/523] learning_rate: 0.191344 loss_vfl: 1.043072 loss_bbox: 0.471055 loss_dfl: 0.426414 loss: 1.944759 eta: 1 day, 0:56:46 batch_cost: 1.0650 data_cost: 0.0060 ips: 52.5802 images/s [03/18 05:10:18] ppdet.engine INFO: Epoch: [114] [280/523] learning_rate: 0.191292 loss_vfl: 1.030511 loss_bbox: 0.455323 loss_dfl: 0.426558 loss: 1.928182 eta: 1 day, 0:56:27 batch_cost: 0.8963 data_cost: 0.0027 ips: 62.4815 images/s [03/18 05:10:39] ppdet.engine INFO: Epoch: [114] [300/523] learning_rate: 0.191240 loss_vfl: 1.040896 loss_bbox: 0.454700 loss_dfl: 0.417928 loss: 1.903928 eta: 1 day, 0:56:09 batch_cost: 0.9442 data_cost: 0.0009 ips: 59.3126 images/s [03/18 05:11:02] ppdet.engine INFO: Epoch: [114] [320/523] learning_rate: 0.191187 loss_vfl: 1.070191 loss_bbox: 0.455419 loss_dfl: 0.433330 loss: 1.967019 eta: 1 day, 0:55:54 batch_cost: 1.0587 data_cost: 0.0030 ips: 52.8961 images/s [03/18 05:11:24] ppdet.engine INFO: Epoch: [114] [340/523] learning_rate: 0.191135 loss_vfl: 1.072282 loss_bbox: 0.487723 loss_dfl: 0.453859 loss: 2.032888 eta: 1 day, 0:55:38 batch_cost: 0.9889 data_cost: 0.0176 ips: 56.6261 images/s [03/18 05:11:44] ppdet.engine INFO: Epoch: [114] [360/523] learning_rate: 0.191083 loss_vfl: 1.080521 loss_bbox: 0.486895 loss_dfl: 0.444961 loss: 2.031804 eta: 1 day, 0:55:19 batch_cost: 0.9214 data_cost: 0.0078 ips: 60.7788 images/s [03/18 05:12:06] ppdet.engine INFO: Epoch: [114] [380/523] learning_rate: 0.191030 loss_vfl: 1.070083 loss_bbox: 0.472469 loss_dfl: 0.440431 loss: 1.973597 eta: 1 day, 0:55:05 batch_cost: 1.0480 data_cost: 0.0046 ips: 53.4370 images/s [03/18 05:12:30] ppdet.engine INFO: Epoch: [114] [400/523] learning_rate: 0.190978 loss_vfl: 1.035211 loss_bbox: 0.460534 loss_dfl: 0.420242 loss: 1.931024 eta: 1 day, 0:54:51 batch_cost: 1.0801 data_cost: 0.0040 ips: 51.8456 images/s [03/18 05:12:51] ppdet.engine INFO: Epoch: [114] [420/523] learning_rate: 0.190926 loss_vfl: 1.111231 loss_bbox: 0.481565 loss_dfl: 0.448415 loss: 2.007214 eta: 1 day, 0:54:32 batch_cost: 0.9198 data_cost: 0.0019 ips: 60.8853 images/s [03/18 05:13:15] ppdet.engine INFO: Epoch: [114] [440/523] learning_rate: 0.190873 loss_vfl: 1.102450 loss_bbox: 0.523939 loss_dfl: 0.469612 loss: 2.087049 eta: 1 day, 0:54:19 batch_cost: 1.0692 data_cost: 0.0048 ips: 52.3761 images/s [03/18 05:13:33] ppdet.engine INFO: Epoch: [114] [460/523] learning_rate: 0.190821 loss_vfl: 1.112768 loss_bbox: 0.489828 loss_dfl: 0.449093 loss: 2.057215 eta: 1 day, 0:53:58 batch_cost: 0.8472 data_cost: 0.0134 ips: 66.0980 images/s [03/18 05:13:52] ppdet.engine INFO: Epoch: [114] [480/523] learning_rate: 0.190769 loss_vfl: 1.081999 loss_bbox: 0.485689 loss_dfl: 0.440051 loss: 2.018484 eta: 1 day, 0:53:35 batch_cost: 0.8092 data_cost: 0.0022 ips: 69.1999 images/s [03/18 05:14:11] ppdet.engine INFO: Epoch: [114] [500/523] learning_rate: 0.190716 loss_vfl: 1.091654 loss_bbox: 0.488299 loss_dfl: 0.451035 loss: 2.037480 eta: 1 day, 0:53:15 batch_cost: 0.8572 data_cost: 0.0056 ips: 65.3279 images/s [03/18 05:14:26] ppdet.engine INFO: Epoch: [114] [520/523] learning_rate: 0.190664 loss_vfl: 1.056758 loss_bbox: 0.474876 loss_dfl: 0.428436 loss: 1.964584 eta: 1 day, 0:52:49 batch_cost: 0.7076 data_cost: 0.0023 ips: 79.1448 images/s [03/18 05:14:37] ppdet.engine INFO: Epoch: [115] [ 0/523] learning_rate: 0.190656 loss_vfl: 1.099309 loss_bbox: 0.481714 loss_dfl: 0.444337 loss: 2.022635 eta: 1 day, 0:52:56 batch_cost: 1.0498 data_cost: 0.3858 ips: 53.3433 images/s [03/18 05:15:00] ppdet.engine INFO: Epoch: [115] [ 20/523] learning_rate: 0.190604 loss_vfl: 1.078995 loss_bbox: 0.477101 loss_dfl: 0.444822 loss: 2.008157 eta: 1 day, 0:52:36 batch_cost: 0.8929 data_cost: 0.0009 ips: 62.7151 images/s [03/18 05:15:21] ppdet.engine INFO: Epoch: [115] [ 40/523] learning_rate: 0.190551 loss_vfl: 1.032786 loss_bbox: 0.459794 loss_dfl: 0.437388 loss: 1.912730 eta: 1 day, 0:52:16 batch_cost: 0.8680 data_cost: 0.0028 ips: 64.5174 images/s [03/18 05:15:43] ppdet.engine INFO: Epoch: [115] [ 60/523] learning_rate: 0.190499 loss_vfl: 1.003293 loss_bbox: 0.456001 loss_dfl: 0.422785 loss: 1.904326 eta: 1 day, 0:52:00 batch_cost: 1.0091 data_cost: 0.0011 ips: 55.4956 images/s [03/18 05:16:05] ppdet.engine INFO: Epoch: [115] [ 80/523] learning_rate: 0.190447 loss_vfl: 0.990005 loss_bbox: 0.424978 loss_dfl: 0.397877 loss: 1.799725 eta: 1 day, 0:51:43 batch_cost: 0.9743 data_cost: 0.0015 ips: 57.4760 images/s [03/18 05:16:28] ppdet.engine INFO: Epoch: [115] [100/523] learning_rate: 0.190394 loss_vfl: 1.062283 loss_bbox: 0.480653 loss_dfl: 0.440570 loss: 1.990197 eta: 1 day, 0:51:30 batch_cost: 1.0813 data_cost: 0.0058 ips: 51.7873 images/s [03/18 05:16:49] ppdet.engine INFO: Epoch: [115] [120/523] learning_rate: 0.190342 loss_vfl: 1.036037 loss_bbox: 0.463582 loss_dfl: 0.430403 loss: 1.923829 eta: 1 day, 0:51:12 batch_cost: 0.9499 data_cost: 0.0003 ips: 58.9528 images/s [03/18 05:17:11] ppdet.engine INFO: Epoch: [115] [140/523] learning_rate: 0.190289 loss_vfl: 1.080351 loss_bbox: 0.484862 loss_dfl: 0.449656 loss: 2.012949 eta: 1 day, 0:50:57 batch_cost: 1.0476 data_cost: 0.0005 ips: 53.4574 images/s [03/18 05:17:32] ppdet.engine INFO: Epoch: [115] [160/523] learning_rate: 0.190237 loss_vfl: 0.996410 loss_bbox: 0.436513 loss_dfl: 0.413996 loss: 1.860118 eta: 1 day, 0:50:38 batch_cost: 0.9182 data_cost: 0.0072 ips: 60.9864 images/s [03/18 05:17:53] ppdet.engine INFO: Epoch: [115] [180/523] learning_rate: 0.190185 loss_vfl: 1.111989 loss_bbox: 0.489967 loss_dfl: 0.452116 loss: 2.066306 eta: 1 day, 0:50:21 batch_cost: 0.9588 data_cost: 0.0083 ips: 58.4072 images/s [03/18 05:18:17] ppdet.engine INFO: Epoch: [115] [200/523] learning_rate: 0.190132 loss_vfl: 1.083142 loss_bbox: 0.478339 loss_dfl: 0.435230 loss: 1.967937 eta: 1 day, 0:50:07 batch_cost: 1.0794 data_cost: 0.0035 ips: 51.8820 images/s [03/18 05:18:35] ppdet.engine INFO: Epoch: [115] [220/523] learning_rate: 0.190080 loss_vfl: 1.035568 loss_bbox: 0.470384 loss_dfl: 0.425402 loss: 1.934226 eta: 1 day, 0:49:43 batch_cost: 0.7549 data_cost: 0.0124 ips: 74.1825 images/s [03/18 05:18:52] ppdet.engine INFO: Epoch: [115] [240/523] learning_rate: 0.190027 loss_vfl: 1.074485 loss_bbox: 0.467506 loss_dfl: 0.433376 loss: 1.968045 eta: 1 day, 0:49:17 batch_cost: 0.6694 data_cost: 0.0018 ips: 83.6522 images/s [03/18 05:19:15] ppdet.engine INFO: Epoch: [115] [260/523] learning_rate: 0.189975 loss_vfl: 1.015196 loss_bbox: 0.450441 loss_dfl: 0.413154 loss: 1.881927 eta: 1 day, 0:49:03 batch_cost: 1.0708 data_cost: 0.0053 ips: 52.2991 images/s [03/18 05:19:37] ppdet.engine INFO: Epoch: [115] [280/523] learning_rate: 0.189922 loss_vfl: 1.042736 loss_bbox: 0.459625 loss_dfl: 0.438342 loss: 1.971811 eta: 1 day, 0:48:45 batch_cost: 0.9536 data_cost: 0.0079 ips: 58.7227 images/s [03/18 05:19:56] ppdet.engine INFO: Epoch: [115] [300/523] learning_rate: 0.189870 loss_vfl: 1.059423 loss_bbox: 0.489748 loss_dfl: 0.441560 loss: 1.979126 eta: 1 day, 0:48:25 batch_cost: 0.8596 data_cost: 0.0053 ips: 65.1481 images/s [03/18 05:20:21] ppdet.engine INFO: Epoch: [115] [320/523] learning_rate: 0.189817 loss_vfl: 1.059906 loss_bbox: 0.473293 loss_dfl: 0.431904 loss: 1.945715 eta: 1 day, 0:48:13 batch_cost: 1.1330 data_cost: 0.0033 ips: 49.4249 images/s [03/18 05:20:41] ppdet.engine INFO: Epoch: [115] [340/523] learning_rate: 0.189765 loss_vfl: 1.054981 loss_bbox: 0.445458 loss_dfl: 0.424393 loss: 1.937061 eta: 1 day, 0:47:53 batch_cost: 0.8828 data_cost: 0.0022 ips: 63.4330 images/s [03/18 05:21:03] ppdet.engine INFO: Epoch: [115] [360/523] learning_rate: 0.189712 loss_vfl: 1.095643 loss_bbox: 0.481503 loss_dfl: 0.454891 loss: 2.047186 eta: 1 day, 0:47:35 batch_cost: 0.9404 data_cost: 0.0073 ips: 59.5462 images/s [03/18 05:21:27] ppdet.engine INFO: Epoch: [115] [380/523] learning_rate: 0.189660 loss_vfl: 1.054130 loss_bbox: 0.467720 loss_dfl: 0.430791 loss: 1.954541 eta: 1 day, 0:47:22 batch_cost: 1.0963 data_cost: 0.0029 ips: 51.0799 images/s [03/18 05:21:46] ppdet.engine INFO: Epoch: [115] [400/523] learning_rate: 0.189607 loss_vfl: 1.029063 loss_bbox: 0.461485 loss_dfl: 0.422763 loss: 1.912523 eta: 1 day, 0:46:59 batch_cost: 0.8044 data_cost: 0.0036 ips: 69.6155 images/s [03/18 05:22:08] ppdet.engine INFO: Epoch: [115] [420/523] learning_rate: 0.189555 loss_vfl: 1.050318 loss_bbox: 0.476765 loss_dfl: 0.424267 loss: 1.926667 eta: 1 day, 0:46:44 batch_cost: 1.0234 data_cost: 0.0037 ips: 54.7205 images/s [03/18 05:22:31] ppdet.engine INFO: Epoch: [115] [440/523] learning_rate: 0.189502 loss_vfl: 1.067034 loss_bbox: 0.464314 loss_dfl: 0.435653 loss: 1.971725 eta: 1 day, 0:46:30 batch_cost: 1.0602 data_cost: 0.0054 ips: 52.8196 images/s [03/18 05:22:52] ppdet.engine INFO: Epoch: [115] [460/523] learning_rate: 0.189450 loss_vfl: 1.132280 loss_bbox: 0.497471 loss_dfl: 0.449717 loss: 2.084805 eta: 1 day, 0:46:11 batch_cost: 0.9173 data_cost: 0.0055 ips: 61.0492 images/s [03/18 05:23:11] ppdet.engine INFO: Epoch: [115] [480/523] learning_rate: 0.189397 loss_vfl: 1.056140 loss_bbox: 0.461590 loss_dfl: 0.430654 loss: 1.969576 eta: 1 day, 0:45:48 batch_cost: 0.7988 data_cost: 0.0019 ips: 70.1037 images/s [03/18 05:23:28] ppdet.engine INFO: Epoch: [115] [500/523] learning_rate: 0.189345 loss_vfl: 1.037085 loss_bbox: 0.462425 loss_dfl: 0.434023 loss: 1.944078 eta: 1 day, 0:45:24 batch_cost: 0.7485 data_cost: 0.0059 ips: 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[116] [ 60/523] learning_rate: 0.189126 loss_vfl: 1.073887 loss_bbox: 0.463321 loss_dfl: 0.436919 loss: 1.984751 eta: 1 day, 0:44:23 batch_cost: 0.9609 data_cost: 0.0024 ips: 58.2758 images/s [03/18 05:25:25] ppdet.engine INFO: Epoch: [116] [ 80/523] learning_rate: 0.189074 loss_vfl: 1.108288 loss_bbox: 0.488556 loss_dfl: 0.455658 loss: 2.074666 eta: 1 day, 0:44:07 batch_cost: 1.0240 data_cost: 0.0045 ips: 54.6853 images/s [03/18 05:25:50] ppdet.engine INFO: Epoch: [116] [100/523] learning_rate: 0.189021 loss_vfl: 1.087756 loss_bbox: 0.488714 loss_dfl: 0.448009 loss: 2.038420 eta: 1 day, 0:43:55 batch_cost: 1.1134 data_cost: 0.0004 ips: 50.2973 images/s [03/18 05:26:15] ppdet.engine INFO: Epoch: [116] [120/523] learning_rate: 0.188969 loss_vfl: 1.092892 loss_bbox: 0.478906 loss_dfl: 0.434373 loss: 1.986140 eta: 1 day, 0:43:43 batch_cost: 1.1463 data_cost: 0.0037 ips: 48.8539 images/s [03/18 05:26:35] ppdet.engine INFO: Epoch: [116] [140/523] learning_rate: 0.188916 loss_vfl: 1.103522 loss_bbox: 0.481731 loss_dfl: 0.448128 loss: 2.036988 eta: 1 day, 0:43:24 batch_cost: 0.9084 data_cost: 0.0012 ips: 61.6463 images/s [03/18 05:26:58] ppdet.engine INFO: Epoch: [116] [160/523] learning_rate: 0.188863 loss_vfl: 1.117591 loss_bbox: 0.475121 loss_dfl: 0.447003 loss: 2.052794 eta: 1 day, 0:43:10 batch_cost: 1.0610 data_cost: 0.0023 ips: 52.7817 images/s [03/18 05:27:21] ppdet.engine INFO: Epoch: [116] [180/523] learning_rate: 0.188811 loss_vfl: 1.107874 loss_bbox: 0.491610 loss_dfl: 0.443826 loss: 2.032634 eta: 1 day, 0:42:56 batch_cost: 1.0821 data_cost: 0.0040 ips: 51.7522 images/s [03/18 05:27:40] ppdet.engine INFO: Epoch: [116] [200/523] learning_rate: 0.188758 loss_vfl: 1.075757 loss_bbox: 0.493117 loss_dfl: 0.440344 loss: 1.989359 eta: 1 day, 0:42:35 batch_cost: 0.8391 data_cost: 0.0024 ips: 66.7361 images/s [03/18 05:27:58] ppdet.engine INFO: Epoch: [116] [220/523] learning_rate: 0.188705 loss_vfl: 1.089303 loss_bbox: 0.502714 loss_dfl: 0.458219 loss: 2.057909 eta: 1 day, 0:42:12 batch_cost: 0.7830 data_cost: 0.0020 ips: 71.5179 images/s [03/18 05:28:18] ppdet.engine INFO: Epoch: [116] [240/523] learning_rate: 0.188653 loss_vfl: 1.025294 loss_bbox: 0.465481 loss_dfl: 0.417837 loss: 1.900648 eta: 1 day, 0:41:53 batch_cost: 0.9170 data_cost: 0.0032 ips: 61.0682 images/s [03/18 05:28:40] ppdet.engine INFO: Epoch: [116] [260/523] learning_rate: 0.188600 loss_vfl: 1.074504 loss_bbox: 0.442591 loss_dfl: 0.429082 loss: 1.945834 eta: 1 day, 0:41:37 batch_cost: 1.0036 data_cost: 0.0034 ips: 55.8011 images/s [03/18 05:29:03] ppdet.engine INFO: Epoch: [116] [280/523] learning_rate: 0.188547 loss_vfl: 1.068269 loss_bbox: 0.468546 loss_dfl: 0.421278 loss: 1.952266 eta: 1 day, 0:41:22 batch_cost: 1.0267 data_cost: 0.0053 ips: 54.5420 images/s [03/18 05:29:25] ppdet.engine INFO: Epoch: [116] [300/523] learning_rate: 0.188495 loss_vfl: 1.069731 loss_bbox: 0.481135 loss_dfl: 0.440141 loss: 1.985045 eta: 1 day, 0:41:06 batch_cost: 1.0090 data_cost: 0.0041 ips: 55.5011 images/s [03/18 05:29:48] ppdet.engine INFO: Epoch: [116] [320/523] learning_rate: 0.188442 loss_vfl: 1.083567 loss_bbox: 0.511873 loss_dfl: 0.451106 loss: 2.041424 eta: 1 day, 0:40:51 batch_cost: 1.0427 data_cost: 0.0018 ips: 53.7044 images/s [03/18 05:30:08] ppdet.engine INFO: Epoch: [116] [340/523] learning_rate: 0.188389 loss_vfl: 1.081447 loss_bbox: 0.480624 loss_dfl: 0.429921 loss: 1.987024 eta: 1 day, 0:40:31 batch_cost: 0.8907 data_cost: 0.0018 ips: 62.8721 images/s [03/18 05:30:32] ppdet.engine INFO: Epoch: [116] [360/523] learning_rate: 0.188336 loss_vfl: 1.071497 loss_bbox: 0.460247 loss_dfl: 0.421849 loss: 1.964356 eta: 1 day, 0:40:17 batch_cost: 1.0729 data_cost: 0.0010 ips: 52.1948 images/s [03/18 05:30:54] ppdet.engine INFO: Epoch: [116] [380/523] learning_rate: 0.188284 loss_vfl: 1.039060 loss_bbox: 0.483341 loss_dfl: 0.432555 loss: 1.942933 eta: 1 day, 0:40:02 batch_cost: 1.0185 data_cost: 0.0031 ips: 54.9810 images/s [03/18 05:31:16] ppdet.engine INFO: Epoch: [116] [400/523] learning_rate: 0.188231 loss_vfl: 1.085296 loss_bbox: 0.480946 loss_dfl: 0.448904 loss: 1.990317 eta: 1 day, 0:39:45 batch_cost: 0.9945 data_cost: 0.0045 ips: 56.3094 images/s [03/18 05:31:40] ppdet.engine INFO: Epoch: [116] [420/523] learning_rate: 0.188178 loss_vfl: 1.041046 loss_bbox: 0.460528 loss_dfl: 0.423352 loss: 1.912605 eta: 1 day, 0:39:31 batch_cost: 1.0767 data_cost: 0.0034 ips: 52.0128 images/s [03/18 05:32:00] ppdet.engine INFO: Epoch: [116] [440/523] learning_rate: 0.188126 loss_vfl: 1.066435 loss_bbox: 0.465932 loss_dfl: 0.433271 loss: 1.961155 eta: 1 day, 0:39:12 batch_cost: 0.9038 data_cost: 0.0064 ips: 61.9621 images/s [03/18 05:32:19] ppdet.engine INFO: Epoch: [116] [460/523] learning_rate: 0.188073 loss_vfl: 1.086985 loss_bbox: 0.445380 loss_dfl: 0.427046 loss: 1.973150 eta: 1 day, 0:38:52 batch_cost: 0.8808 data_cost: 0.0018 ips: 63.5822 images/s [03/18 05:32:37] ppdet.engine INFO: Epoch: [116] [480/523] learning_rate: 0.188020 loss_vfl: 1.017325 loss_bbox: 0.441885 loss_dfl: 0.417945 loss: 1.899886 eta: 1 day, 0:38:29 batch_cost: 0.7937 data_cost: 0.0028 ips: 70.5552 images/s [03/18 05:32:56] ppdet.engine INFO: Epoch: [116] [500/523] learning_rate: 0.187967 loss_vfl: 1.064277 loss_bbox: 0.477721 loss_dfl: 0.445198 loss: 1.972700 eta: 1 day, 0:38:09 batch_cost: 0.8557 data_cost: 0.0018 ips: 65.4456 images/s [03/18 05:33:15] ppdet.engine INFO: Epoch: [116] [520/523] learning_rate: 0.187914 loss_vfl: 1.071340 loss_bbox: 0.506242 loss_dfl: 0.452962 loss: 2.030710 eta: 1 day, 0:37:49 batch_cost: 0.8922 data_cost: 0.0037 ips: 62.7639 images/s [03/18 05:33:27] ppdet.engine INFO: Epoch: [117] [ 0/523] learning_rate: 0.187907 loss_vfl: 1.053572 loss_bbox: 0.472408 loss_dfl: 0.444175 loss: 2.012076 eta: 1 day, 0:37:58 batch_cost: 1.2871 data_cost: 0.2577 ips: 43.5089 images/s [03/18 05:33:51] ppdet.engine INFO: Epoch: [117] [ 20/523] learning_rate: 0.187854 loss_vfl: 1.116066 loss_bbox: 0.500647 loss_dfl: 0.459075 loss: 2.058689 eta: 1 day, 0:37:45 batch_cost: 1.1013 data_cost: 0.0024 ips: 50.8470 images/s [03/18 05:34:13] ppdet.engine INFO: Epoch: [117] [ 40/523] learning_rate: 0.187801 loss_vfl: 1.031480 loss_bbox: 0.456694 loss_dfl: 0.427712 loss: 1.913148 eta: 1 day, 0:37:30 batch_cost: 1.0318 data_cost: 0.0106 ips: 54.2722 images/s [03/18 05:34:35] ppdet.engine INFO: Epoch: [117] [ 60/523] learning_rate: 0.187748 loss_vfl: 1.050294 loss_bbox: 0.468117 loss_dfl: 0.423279 loss: 1.929377 eta: 1 day, 0:37:14 batch_cost: 1.0125 data_cost: 0.0003 ips: 55.3080 images/s [03/18 05:35:01] ppdet.engine INFO: Epoch: [117] [ 80/523] learning_rate: 0.187695 loss_vfl: 1.035833 loss_bbox: 0.473728 loss_dfl: 0.427669 loss: 1.934578 eta: 1 day, 0:37:04 batch_cost: 1.2008 data_cost: 0.0037 ips: 46.6336 images/s [03/18 05:35:23] ppdet.engine INFO: Epoch: [117] [100/523] learning_rate: 0.187643 loss_vfl: 1.049517 loss_bbox: 0.466449 loss_dfl: 0.427205 loss: 1.917985 eta: 1 day, 0:36:48 batch_cost: 1.0019 data_cost: 0.0030 ips: 55.8919 images/s [03/18 05:35:44] ppdet.engine INFO: Epoch: [117] [120/523] learning_rate: 0.187590 loss_vfl: 1.118373 loss_bbox: 0.474986 loss_dfl: 0.451294 loss: 2.059260 eta: 1 day, 0:36:30 batch_cost: 0.9514 data_cost: 0.0015 ips: 58.8616 images/s [03/18 05:36:07] ppdet.engine INFO: Epoch: [117] [140/523] learning_rate: 0.187537 loss_vfl: 1.102062 loss_bbox: 0.477706 loss_dfl: 0.449782 loss: 2.022160 eta: 1 day, 0:36:17 batch_cost: 1.1086 data_cost: 0.0039 ips: 50.5144 images/s [03/18 05:36:31] ppdet.engine INFO: Epoch: [117] [160/523] learning_rate: 0.187484 loss_vfl: 1.056319 loss_bbox: 0.453789 loss_dfl: 0.426346 loss: 1.915283 eta: 1 day, 0:36:03 batch_cost: 1.0468 data_cost: 0.0005 ips: 53.4957 images/s [03/18 05:36:50] ppdet.engine INFO: Epoch: [117] [180/523] learning_rate: 0.187431 loss_vfl: 1.045387 loss_bbox: 0.498025 loss_dfl: 0.431948 loss: 1.962041 eta: 1 day, 0:35:44 batch_cost: 0.9252 data_cost: 0.0006 ips: 60.5255 images/s [03/18 05:37:09] ppdet.engine INFO: Epoch: [117] [200/523] learning_rate: 0.187378 loss_vfl: 1.038217 loss_bbox: 0.462323 loss_dfl: 0.420245 loss: 1.853822 eta: 1 day, 0:35:24 batch_cost: 0.8745 data_cost: 0.0023 ips: 64.0372 images/s [03/18 05:37:30] ppdet.engine INFO: Epoch: [117] [220/523] learning_rate: 0.187326 loss_vfl: 1.054348 loss_bbox: 0.482437 loss_dfl: 0.445286 loss: 1.976370 eta: 1 day, 0:35:06 batch_cost: 0.9532 data_cost: 0.0062 ips: 58.7493 images/s [03/18 05:37:52] ppdet.engine INFO: Epoch: [117] [240/523] learning_rate: 0.187273 loss_vfl: 1.018906 loss_bbox: 0.449249 loss_dfl: 0.411777 loss: 1.888091 eta: 1 day, 0:34:49 batch_cost: 0.9845 data_cost: 0.0007 ips: 56.8790 images/s [03/18 05:38:15] ppdet.engine INFO: Epoch: [117] [260/523] learning_rate: 0.187220 loss_vfl: 1.090959 loss_bbox: 0.478966 loss_dfl: 0.438935 loss: 2.004542 eta: 1 day, 0:34:34 batch_cost: 1.0112 data_cost: 0.0052 ips: 55.3819 images/s [03/18 05:38:38] ppdet.engine INFO: Epoch: [117] [280/523] learning_rate: 0.187167 loss_vfl: 1.001641 loss_bbox: 0.426440 loss_dfl: 0.410162 loss: 1.867910 eta: 1 day, 0:34:19 batch_cost: 1.0670 data_cost: 0.0021 ips: 52.4848 images/s [03/18 05:38:59] ppdet.engine INFO: Epoch: [117] [300/523] learning_rate: 0.187114 loss_vfl: 1.062038 loss_bbox: 0.459600 loss_dfl: 0.427340 loss: 1.963982 eta: 1 day, 0:34:00 batch_cost: 0.9146 data_cost: 0.0032 ips: 61.2305 images/s [03/18 05:39:22] ppdet.engine INFO: Epoch: [117] [320/523] learning_rate: 0.187061 loss_vfl: 1.086409 loss_bbox: 0.486481 loss_dfl: 0.443756 loss: 2.000134 eta: 1 day, 0:33:44 batch_cost: 0.9979 data_cost: 0.0027 ips: 56.1178 images/s [03/18 05:39:45] ppdet.engine INFO: Epoch: [117] [340/523] learning_rate: 0.187008 loss_vfl: 1.139390 loss_bbox: 0.506022 loss_dfl: 0.467290 loss: 2.115769 eta: 1 day, 0:33:30 batch_cost: 1.0729 data_cost: 0.0051 ips: 52.1956 images/s [03/18 05:40:07] ppdet.engine INFO: Epoch: [117] [360/523] learning_rate: 0.186955 loss_vfl: 1.046678 loss_bbox: 0.471734 loss_dfl: 0.433372 loss: 1.931317 eta: 1 day, 0:33:13 batch_cost: 0.9758 data_cost: 0.0031 ips: 57.3873 images/s [03/18 05:40:30] ppdet.engine INFO: Epoch: [117] [380/523] learning_rate: 0.186902 loss_vfl: 1.058492 loss_bbox: 0.490555 loss_dfl: 0.439350 loss: 2.005614 eta: 1 day, 0:32:58 batch_cost: 1.0351 data_cost: 0.0018 ips: 54.1030 images/s [03/18 05:40:52] ppdet.engine INFO: Epoch: [117] [400/523] learning_rate: 0.186849 loss_vfl: 1.111048 loss_bbox: 0.489525 loss_dfl: 0.460270 loss: 2.072347 eta: 1 day, 0:32:42 batch_cost: 1.0111 data_cost: 0.0018 ips: 55.3829 images/s [03/18 05:41:15] ppdet.engine INFO: Epoch: [117] [420/523] learning_rate: 0.186796 loss_vfl: 1.093779 loss_bbox: 0.485229 loss_dfl: 0.456267 loss: 2.032561 eta: 1 day, 0:32:26 batch_cost: 1.0228 data_cost: 0.0003 ips: 54.7516 images/s [03/18 05:41:30] ppdet.engine INFO: Epoch: [117] [440/523] learning_rate: 0.186744 loss_vfl: 1.037470 loss_bbox: 0.460248 loss_dfl: 0.418696 loss: 1.900424 eta: 1 day, 0:31:59 batch_cost: 0.6449 data_cost: 0.0104 ips: 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[118] [ 0/523] learning_rate: 0.186524 loss_vfl: 1.063849 loss_bbox: 0.451072 loss_dfl: 0.422947 loss: 1.917224 eta: 1 day, 0:30:52 batch_cost: 1.1927 data_cost: 0.4002 ips: 46.9505 images/s [03/18 05:43:25] ppdet.engine INFO: Epoch: [118] [ 20/523] learning_rate: 0.186471 loss_vfl: 1.097198 loss_bbox: 0.481136 loss_dfl: 0.435429 loss: 1.999644 eta: 1 day, 0:30:32 batch_cost: 0.8849 data_cost: 0.0050 ips: 63.2810 images/s [03/18 05:43:44] ppdet.engine INFO: Epoch: [118] [ 40/523] learning_rate: 0.186418 loss_vfl: 1.079011 loss_bbox: 0.494204 loss_dfl: 0.433539 loss: 2.001799 eta: 1 day, 0:30:10 batch_cost: 0.8149 data_cost: 0.0098 ips: 68.7227 images/s [03/18 05:44:06] ppdet.engine INFO: Epoch: [118] [ 60/523] learning_rate: 0.186365 loss_vfl: 1.090130 loss_bbox: 0.478741 loss_dfl: 0.436970 loss: 2.024652 eta: 1 day, 0:29:53 batch_cost: 0.9749 data_cost: 0.1308 ips: 57.4437 images/s [03/18 05:44:30] ppdet.engine INFO: Epoch: [118] [ 80/523] learning_rate: 0.186312 loss_vfl: 1.080504 loss_bbox: 0.479437 loss_dfl: 0.458021 loss: 2.024560 eta: 1 day, 0:29:39 batch_cost: 1.0468 data_cost: 0.3341 ips: 53.4959 images/s [03/18 05:44:50] ppdet.engine INFO: Epoch: [118] [100/523] learning_rate: 0.186259 loss_vfl: 1.139874 loss_bbox: 0.505052 loss_dfl: 0.474239 loss: 2.131207 eta: 1 day, 0:29:16 batch_cost: 0.8020 data_cost: 0.0546 ips: 69.8293 images/s [03/18 05:45:10] ppdet.engine INFO: Epoch: [118] [120/523] learning_rate: 0.186206 loss_vfl: 1.031521 loss_bbox: 0.444965 loss_dfl: 0.417375 loss: 1.876402 eta: 1 day, 0:28:56 batch_cost: 0.8781 data_cost: 0.0546 ips: 63.7728 images/s [03/18 05:45:32] ppdet.engine INFO: Epoch: [118] [140/523] learning_rate: 0.186153 loss_vfl: 1.074089 loss_bbox: 0.480336 loss_dfl: 0.442074 loss: 2.049900 eta: 1 day, 0:28:39 batch_cost: 0.9574 data_cost: 0.1517 ips: 58.4924 images/s [03/18 05:45:52] ppdet.engine INFO: Epoch: [118] [160/523] learning_rate: 0.186100 loss_vfl: 1.037304 loss_bbox: 0.458663 loss_dfl: 0.413567 loss: 1.889661 eta: 1 day, 0:28:19 batch_cost: 0.8826 data_cost: 0.0119 ips: 63.4504 images/s [03/18 05:46:12] ppdet.engine INFO: Epoch: [118] [180/523] learning_rate: 0.186047 loss_vfl: 1.075209 loss_bbox: 0.476610 loss_dfl: 0.430118 loss: 2.001138 eta: 1 day, 0:27:58 batch_cost: 0.8624 data_cost: 0.0455 ips: 64.9325 images/s [03/18 05:46:29] ppdet.engine INFO: Epoch: [118] [200/523] learning_rate: 0.185994 loss_vfl: 1.050588 loss_bbox: 0.479315 loss_dfl: 0.441019 loss: 1.937808 eta: 1 day, 0:27:34 batch_cost: 0.7403 data_cost: 0.0012 ips: 75.6432 images/s [03/18 05:46:47] ppdet.engine INFO: Epoch: [118] [220/523] learning_rate: 0.185941 loss_vfl: 1.025772 loss_bbox: 0.468772 loss_dfl: 0.435210 loss: 1.937335 eta: 1 day, 0:27:10 batch_cost: 0.7663 data_cost: 0.0320 ips: 73.0770 images/s [03/18 05:47:07] ppdet.engine INFO: Epoch: [118] [240/523] learning_rate: 0.185887 loss_vfl: 1.035661 loss_bbox: 0.472169 loss_dfl: 0.432568 loss: 1.956345 eta: 1 day, 0:26:49 batch_cost: 0.8248 data_cost: 0.0035 ips: 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[118] [340/523] learning_rate: 0.185622 loss_vfl: 1.068427 loss_bbox: 0.476751 loss_dfl: 0.442843 loss: 1.971356 eta: 1 day, 0:25:13 batch_cost: 0.8789 data_cost: 0.1605 ips: 63.7158 images/s [03/18 05:49:15] ppdet.engine INFO: Epoch: [118] [360/523] learning_rate: 0.185569 loss_vfl: 1.071400 loss_bbox: 0.472587 loss_dfl: 0.446621 loss: 1.990897 eta: 1 day, 0:24:52 batch_cost: 0.8576 data_cost: 0.1621 ips: 65.2961 images/s [03/18 05:49:35] ppdet.engine INFO: Epoch: [118] [380/523] learning_rate: 0.185516 loss_vfl: 1.066045 loss_bbox: 0.492247 loss_dfl: 0.438380 loss: 2.000867 eta: 1 day, 0:24:31 batch_cost: 0.8443 data_cost: 0.0306 ips: 66.3281 images/s [03/18 05:49:57] ppdet.engine INFO: Epoch: [118] [400/523] learning_rate: 0.185463 loss_vfl: 1.083511 loss_bbox: 0.500441 loss_dfl: 0.430077 loss: 1.994336 eta: 1 day, 0:24:12 batch_cost: 0.9150 data_cost: 0.1365 ips: 61.2020 images/s [03/18 05:50:18] ppdet.engine INFO: Epoch: [118] [420/523] learning_rate: 0.185410 loss_vfl: 1.054802 loss_bbox: 0.473234 loss_dfl: 0.449002 loss: 1.964290 eta: 1 day, 0:23:51 batch_cost: 0.8268 data_cost: 0.0115 ips: 67.7350 images/s [03/18 05:50:39] ppdet.engine INFO: Epoch: [118] [440/523] learning_rate: 0.185356 loss_vfl: 1.083705 loss_bbox: 0.470811 loss_dfl: 0.433826 loss: 1.971076 eta: 1 day, 0:23:31 batch_cost: 0.8814 data_cost: 0.1130 ips: 63.5323 images/s [03/18 05:50:57] ppdet.engine INFO: Epoch: [118] [460/523] learning_rate: 0.185303 loss_vfl: 1.041879 loss_bbox: 0.448914 loss_dfl: 0.417118 loss: 1.917060 eta: 1 day, 0:23:08 batch_cost: 0.8001 data_cost: 0.0017 ips: 69.9911 images/s [03/18 05:51:16] ppdet.engine INFO: Epoch: [118] [480/523] learning_rate: 0.185250 loss_vfl: 1.152511 loss_bbox: 0.515317 loss_dfl: 0.459810 loss: 2.127898 eta: 1 day, 0:22:46 batch_cost: 0.8153 data_cost: 0.0347 ips: 68.6877 images/s [03/18 05:51:34] ppdet.engine INFO: Epoch: [118] [500/523] learning_rate: 0.185197 loss_vfl: 1.052188 loss_bbox: 0.491211 loss_dfl: 0.448566 loss: 1.977751 eta: 1 day, 0:22:23 batch_cost: 0.7574 data_cost: 0.0122 ips: 73.9416 images/s [03/18 05:51:49] ppdet.engine INFO: Epoch: [118] [520/523] learning_rate: 0.185144 loss_vfl: 1.030080 loss_bbox: 0.459576 loss_dfl: 0.418947 loss: 1.891557 eta: 1 day, 0:21:56 batch_cost: 0.6507 data_cost: 0.0030 ips: 86.0607 images/s [03/18 05:52:02] ppdet.engine INFO: Epoch: [119] [ 0/523] learning_rate: 0.185136 loss_vfl: 1.019391 loss_bbox: 0.454082 loss_dfl: 0.413458 loss: 1.876484 eta: 1 day, 0:22:07 batch_cost: 1.1172 data_cost: 0.2571 ips: 50.1253 images/s [03/18 05:52:23] ppdet.engine INFO: Epoch: [119] [ 20/523] learning_rate: 0.185083 loss_vfl: 1.052936 loss_bbox: 0.461667 loss_dfl: 0.430519 loss: 1.929448 eta: 1 day, 0:21:47 batch_cost: 0.8945 data_cost: 0.0006 ips: 62.6044 images/s [03/18 05:52:44] ppdet.engine INFO: Epoch: [119] [ 40/523] learning_rate: 0.185029 loss_vfl: 1.149221 loss_bbox: 0.523342 loss_dfl: 0.474180 loss: 2.145630 eta: 1 day, 0:21:27 batch_cost: 0.8925 data_cost: 0.0032 ips: 62.7436 images/s [03/18 05:53:06] ppdet.engine INFO: Epoch: [119] [ 60/523] learning_rate: 0.184976 loss_vfl: 1.027297 loss_bbox: 0.445846 loss_dfl: 0.418189 loss: 1.872183 eta: 1 day, 0:21:11 batch_cost: 0.9828 data_cost: 0.0014 ips: 56.9783 images/s [03/18 05:53:28] ppdet.engine INFO: Epoch: [119] [ 80/523] learning_rate: 0.184923 loss_vfl: 1.083244 loss_bbox: 0.479606 loss_dfl: 0.443850 loss: 2.017696 eta: 1 day, 0:20:55 batch_cost: 1.0333 data_cost: 0.0012 ips: 54.1941 images/s [03/18 05:53:50] ppdet.engine INFO: Epoch: [119] [100/523] learning_rate: 0.184870 loss_vfl: 1.041714 loss_bbox: 0.481013 loss_dfl: 0.446789 loss: 1.993382 eta: 1 day, 0:20:38 batch_cost: 0.9725 data_cost: 0.0035 ips: 57.5840 images/s [03/18 05:54:10] ppdet.engine INFO: Epoch: [119] [120/523] learning_rate: 0.184817 loss_vfl: 1.085139 loss_bbox: 0.465158 loss_dfl: 0.430858 loss: 1.964121 eta: 1 day, 0:20:19 batch_cost: 0.9009 data_cost: 0.0079 ips: 62.1593 images/s [03/18 05:54:33] ppdet.engine INFO: Epoch: [119] [140/523] learning_rate: 0.184763 loss_vfl: 1.019720 loss_bbox: 0.468261 loss_dfl: 0.422173 loss: 1.881669 eta: 1 day, 0:20:05 batch_cost: 1.0724 data_cost: 0.0032 ips: 52.2212 images/s [03/18 05:54:53] ppdet.engine INFO: Epoch: [119] [160/523] learning_rate: 0.184710 loss_vfl: 1.102876 loss_bbox: 0.492685 loss_dfl: 0.453888 loss: 2.069395 eta: 1 day, 0:19:44 batch_cost: 0.8633 data_cost: 0.0036 ips: 64.8658 images/s [03/18 05:55:15] ppdet.engine INFO: Epoch: [119] [180/523] learning_rate: 0.184657 loss_vfl: 1.075975 loss_bbox: 0.449163 loss_dfl: 0.433324 loss: 1.933555 eta: 1 day, 0:19:27 batch_cost: 0.9789 data_cost: 0.0041 ips: 57.2061 images/s [03/18 05:55:37] ppdet.engine INFO: Epoch: [119] [200/523] learning_rate: 0.184604 loss_vfl: 1.092943 loss_bbox: 0.473203 loss_dfl: 0.435472 loss: 2.007969 eta: 1 day, 0:19:11 batch_cost: 1.0036 data_cost: 0.0087 ips: 55.7979 images/s [03/18 05:55:58] ppdet.engine INFO: Epoch: [119] [220/523] learning_rate: 0.184550 loss_vfl: 1.067974 loss_bbox: 0.463744 loss_dfl: 0.429788 loss: 1.950109 eta: 1 day, 0:18:52 batch_cost: 0.9010 data_cost: 0.0042 ips: 62.1545 images/s [03/18 05:56:15] ppdet.engine INFO: Epoch: [119] [240/523] learning_rate: 0.184497 loss_vfl: 1.024234 loss_bbox: 0.456734 loss_dfl: 0.434771 loss: 1.932013 eta: 1 day, 0:18:28 batch_cost: 0.7575 data_cost: 0.0027 ips: 73.9284 images/s [03/18 05:56:34] ppdet.engine INFO: Epoch: [119] [260/523] learning_rate: 0.184444 loss_vfl: 1.088888 loss_bbox: 0.475342 loss_dfl: 0.439883 loss: 2.041877 eta: 1 day, 0:18:07 batch_cost: 0.8511 data_cost: 0.0042 ips: 65.7953 images/s [03/18 05:56:57] ppdet.engine INFO: Epoch: [119] [280/523] learning_rate: 0.184391 loss_vfl: 1.071812 loss_bbox: 0.488783 loss_dfl: 0.437845 loss: 1.984797 eta: 1 day, 0:17:51 batch_cost: 1.0041 data_cost: 0.0042 ips: 55.7714 images/s [03/18 05:57:18] ppdet.engine INFO: Epoch: [119] [300/523] learning_rate: 0.184337 loss_vfl: 1.093043 loss_bbox: 0.448823 loss_dfl: 0.425175 loss: 1.971785 eta: 1 day, 0:17:35 batch_cost: 1.0042 data_cost: 0.0037 ips: 55.7646 images/s [03/18 05:57:38] ppdet.engine INFO: Epoch: [119] [320/523] learning_rate: 0.184284 loss_vfl: 1.066249 loss_bbox: 0.468601 loss_dfl: 0.436565 loss: 1.951103 eta: 1 day, 0:17:14 batch_cost: 0.8593 data_cost: 0.0029 ips: 65.1680 images/s [03/18 05:57:58] ppdet.engine INFO: Epoch: [119] [340/523] learning_rate: 0.184231 loss_vfl: 1.061789 loss_bbox: 0.472075 loss_dfl: 0.437741 loss: 1.978266 eta: 1 day, 0:16:55 batch_cost: 0.9045 data_cost: 0.0033 ips: 61.9133 images/s [03/18 05:58:21] ppdet.engine INFO: Epoch: [119] [360/523] learning_rate: 0.184178 loss_vfl: 1.036806 loss_bbox: 0.466088 loss_dfl: 0.427697 loss: 1.904002 eta: 1 day, 0:16:40 batch_cost: 1.0540 data_cost: 0.0034 ips: 53.1299 images/s [03/18 05:58:45] ppdet.engine INFO: Epoch: [119] [380/523] learning_rate: 0.184124 loss_vfl: 1.042149 loss_bbox: 0.443589 loss_dfl: 0.418760 loss: 1.922049 eta: 1 day, 0:16:27 batch_cost: 1.0796 data_cost: 0.0101 ips: 51.8699 images/s [03/18 05:59:06] ppdet.engine INFO: Epoch: [119] [400/523] learning_rate: 0.184071 loss_vfl: 1.067139 loss_bbox: 0.472703 loss_dfl: 0.432912 loss: 1.965223 eta: 1 day, 0:16:08 batch_cost: 0.9201 data_cost: 0.0047 ips: 60.8611 images/s [03/18 05:59:28] ppdet.engine INFO: Epoch: [119] [420/523] learning_rate: 0.184018 loss_vfl: 1.107345 loss_bbox: 0.485725 loss_dfl: 0.449614 loss: 2.041362 eta: 1 day, 0:15:53 batch_cost: 1.0448 data_cost: 0.0018 ips: 53.6007 images/s [03/18 05:59:51] ppdet.engine INFO: Epoch: [119] [440/523] learning_rate: 0.183964 loss_vfl: 1.056634 loss_bbox: 0.481030 loss_dfl: 0.427784 loss: 1.985043 eta: 1 day, 0:15:39 batch_cost: 1.0780 data_cost: 0.0046 ips: 51.9488 images/s [03/18 06:00:13] ppdet.engine INFO: Epoch: [119] [460/523] learning_rate: 0.183911 loss_vfl: 1.105040 loss_bbox: 0.498416 loss_dfl: 0.460565 loss: 2.060704 eta: 1 day, 0:15:22 batch_cost: 0.9921 data_cost: 0.0014 ips: 56.4438 images/s [03/18 06:00:33] ppdet.engine INFO: Epoch: [119] [480/523] learning_rate: 0.183858 loss_vfl: 1.088233 loss_bbox: 0.480661 loss_dfl: 0.448226 loss: 1.982528 eta: 1 day, 0:15:04 batch_cost: 0.9225 data_cost: 0.0038 ips: 60.7052 images/s [03/18 06:00:51] ppdet.engine INFO: Epoch: [119] [500/523] learning_rate: 0.183804 loss_vfl: 1.074278 loss_bbox: 0.473156 loss_dfl: 0.434308 loss: 1.994853 eta: 1 day, 0:14:40 batch_cost: 0.7554 data_cost: 0.0033 ips: 74.1351 images/s [03/18 06:01:06] ppdet.engine INFO: Epoch: [119] [520/523] learning_rate: 0.183751 loss_vfl: 1.064567 loss_bbox: 0.461712 loss_dfl: 0.430598 loss: 1.969021 eta: 1 day, 0:14:15 batch_cost: 0.7287 data_cost: 0.0048 ips: 76.8528 images/s [03/18 06:01:08] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 06:01:08] ppdet.engine INFO: Eval iter: 0 [03/18 06:01:28] ppdet.engine INFO: Eval iter: 100 [03/18 06:01:38] ppdet.engine INFO: Eval iter: 200 [03/18 06:01:48] ppdet.engine INFO: Eval iter: 300 [03/18 06:01:57] ppdet.engine INFO: Eval iter: 400 [03/18 06:02:07] ppdet.engine INFO: Eval iter: 500 [03/18 06:02:17] ppdet.engine INFO: Eval iter: 600 [03/18 06:02:32] 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 06:02:33] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.62s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=85.09s). Accumulating evaluation results... DONE (t=16.91s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.227 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.346 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.238 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.072 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.224 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.386 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.239 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.384 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.408 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.137 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.445 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.663 [03/18 06:04:22] ppdet.engine INFO: Total sample number: 4952, averge FPS: 69.09788421587277 [03/18 06:04:22] ppdet.engine INFO: Best test bbox ap is 0.227. [03/18 06:04:22] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 06:04:22] ppdet.engine INFO: Epoch: [120] [ 0/523] learning_rate: 0.183743 loss_vfl: 1.080979 loss_bbox: 0.485204 loss_dfl: 0.442787 loss: 2.013151 eta: 1 day, 0:14:10 batch_cost: 0.6535 data_cost: 0.0030 ips: 85.6969 images/s [03/18 06:04:38] ppdet.engine INFO: Epoch: [120] [ 20/523] learning_rate: 0.183690 loss_vfl: 1.068698 loss_bbox: 0.477020 loss_dfl: 0.442388 loss: 2.000321 eta: 1 day, 0:13:45 batch_cost: 0.7373 data_cost: 0.0063 ips: 75.9562 images/s [03/18 06:04:59] ppdet.engine INFO: Epoch: [120] [ 40/523] learning_rate: 0.183636 loss_vfl: 1.027064 loss_bbox: 0.457268 loss_dfl: 0.420224 loss: 1.890030 eta: 1 day, 0:13:28 batch_cost: 0.9820 data_cost: 0.0034 ips: 57.0267 images/s [03/18 06:05:18] ppdet.engine INFO: Epoch: [120] [ 60/523] learning_rate: 0.183583 loss_vfl: 1.075096 loss_bbox: 0.480977 loss_dfl: 0.441617 loss: 2.001404 eta: 1 day, 0:13:09 batch_cost: 0.8939 data_cost: 0.0019 ips: 62.6474 images/s [03/18 06:05:42] ppdet.engine INFO: Epoch: [120] [ 80/523] learning_rate: 0.183529 loss_vfl: 1.046143 loss_bbox: 0.461636 loss_dfl: 0.420285 loss: 1.921856 eta: 1 day, 0:12:56 batch_cost: 1.1287 data_cost: 0.0003 ips: 49.6166 images/s [03/18 06:06:04] ppdet.engine INFO: Epoch: [120] [100/523] learning_rate: 0.183476 loss_vfl: 1.027890 loss_bbox: 0.432375 loss_dfl: 0.410781 loss: 1.866817 eta: 1 day, 0:12:40 batch_cost: 0.9843 data_cost: 0.0043 ips: 56.8961 images/s [03/18 06:06:28] ppdet.engine INFO: Epoch: [120] [120/523] learning_rate: 0.183423 loss_vfl: 1.103656 loss_bbox: 0.501997 loss_dfl: 0.446096 loss: 2.038577 eta: 1 day, 0:12:26 batch_cost: 1.1012 data_cost: 0.0008 ips: 50.8556 images/s [03/18 06:06:49] ppdet.engine INFO: Epoch: [120] [140/523] learning_rate: 0.183369 loss_vfl: 1.120147 loss_bbox: 0.503986 loss_dfl: 0.462654 loss: 2.100355 eta: 1 day, 0:12:09 batch_cost: 0.9602 data_cost: 0.0025 ips: 58.3206 images/s [03/18 06:07:13] ppdet.engine INFO: Epoch: [120] [160/523] learning_rate: 0.183316 loss_vfl: 1.029149 loss_bbox: 0.458582 loss_dfl: 0.422187 loss: 1.949728 eta: 1 day, 0:11:56 batch_cost: 1.1185 data_cost: 0.0038 ips: 50.0657 images/s [03/18 06:07:35] ppdet.engine INFO: Epoch: [120] [180/523] learning_rate: 0.183262 loss_vfl: 1.086474 loss_bbox: 0.480141 loss_dfl: 0.444439 loss: 1.961982 eta: 1 day, 0:11:40 batch_cost: 1.0160 data_cost: 0.0031 ips: 55.1195 images/s [03/18 06:07:57] ppdet.engine INFO: Epoch: [120] [200/523] learning_rate: 0.183209 loss_vfl: 1.081490 loss_bbox: 0.510371 loss_dfl: 0.449708 loss: 2.022870 eta: 1 day, 0:11:24 batch_cost: 1.0001 data_cost: 0.0036 ips: 55.9959 images/s [03/18 06:08:21] ppdet.engine INFO: Epoch: [120] [220/523] learning_rate: 0.183156 loss_vfl: 1.054593 loss_bbox: 0.456900 loss_dfl: 0.419409 loss: 1.936845 eta: 1 day, 0:11:10 batch_cost: 1.0784 data_cost: 0.0012 ips: 51.9285 images/s [03/18 06:08:44] ppdet.engine INFO: Epoch: [120] [240/523] learning_rate: 0.183102 loss_vfl: 1.061974 loss_bbox: 0.470127 loss_dfl: 0.438998 loss: 1.963831 eta: 1 day, 0:10:54 batch_cost: 1.0237 data_cost: 0.0045 ips: 54.7013 images/s [03/18 06:09:04] ppdet.engine INFO: Epoch: [120] [260/523] learning_rate: 0.183049 loss_vfl: 1.073191 loss_bbox: 0.458162 loss_dfl: 0.429198 loss: 1.974349 eta: 1 day, 0:10:35 batch_cost: 0.9173 data_cost: 0.0020 ips: 61.0454 images/s [03/18 06:09:24] ppdet.engine INFO: Epoch: [120] [280/523] learning_rate: 0.182995 loss_vfl: 1.084568 loss_bbox: 0.496886 loss_dfl: 0.457121 loss: 2.028334 eta: 1 day, 0:10:16 batch_cost: 0.9093 data_cost: 0.0035 ips: 61.5847 images/s [03/18 06:09:40] ppdet.engine INFO: Epoch: [120] [300/523] learning_rate: 0.182942 loss_vfl: 1.068595 loss_bbox: 0.490512 loss_dfl: 0.441730 loss: 1.991161 eta: 1 day, 0:09:52 batch_cost: 0.7300 data_cost: 0.0030 ips: 76.7141 images/s [03/18 06:10:03] ppdet.engine INFO: Epoch: [120] [320/523] learning_rate: 0.182888 loss_vfl: 1.036320 loss_bbox: 0.468258 loss_dfl: 0.430999 loss: 1.921029 eta: 1 day, 0:09:36 batch_cost: 1.0358 data_cost: 0.0025 ips: 54.0669 images/s [03/18 06:10:26] ppdet.engine INFO: Epoch: [120] [340/523] learning_rate: 0.182835 loss_vfl: 1.029715 loss_bbox: 0.468331 loss_dfl: 0.421127 loss: 1.891119 eta: 1 day, 0:09:23 batch_cost: 1.0848 data_cost: 0.0019 ips: 51.6216 images/s [03/18 06:10:48] ppdet.engine INFO: Epoch: [120] [360/523] learning_rate: 0.182781 loss_vfl: 1.015583 loss_bbox: 0.471727 loss_dfl: 0.436695 loss: 1.925417 eta: 1 day, 0:09:07 batch_cost: 1.0406 data_cost: 0.0042 ips: 53.8171 images/s [03/18 06:11:11] ppdet.engine INFO: Epoch: [120] [380/523] learning_rate: 0.182728 loss_vfl: 1.043135 loss_bbox: 0.469987 loss_dfl: 0.424104 loss: 1.942838 eta: 1 day, 0:08:52 batch_cost: 1.0497 data_cost: 0.0039 ips: 53.3494 images/s [03/18 06:11:34] ppdet.engine INFO: Epoch: [120] [400/523] learning_rate: 0.182674 loss_vfl: 1.092562 loss_bbox: 0.469505 loss_dfl: 0.440588 loss: 2.001238 eta: 1 day, 0:08:37 batch_cost: 1.0324 data_cost: 0.0004 ips: 54.2414 images/s [03/18 06:11:57] ppdet.engine INFO: Epoch: [120] [420/523] learning_rate: 0.182621 loss_vfl: 1.008000 loss_bbox: 0.455129 loss_dfl: 0.422389 loss: 1.873869 eta: 1 day, 0:08:23 batch_cost: 1.0755 data_cost: 0.0009 ips: 52.0686 images/s [03/18 06:12:21] ppdet.engine INFO: Epoch: [120] [440/523] learning_rate: 0.182567 loss_vfl: 1.068818 loss_bbox: 0.488852 loss_dfl: 0.434860 loss: 1.976230 eta: 1 day, 0:08:09 batch_cost: 1.0701 data_cost: 0.0014 ips: 52.3293 images/s [03/18 06:12:41] ppdet.engine INFO: Epoch: [120] [460/523] learning_rate: 0.182514 loss_vfl: 1.052161 loss_bbox: 0.461170 loss_dfl: 0.430016 loss: 1.939280 eta: 1 day, 0:07:49 batch_cost: 0.8775 data_cost: 0.0047 ips: 63.8212 images/s [03/18 06:13:05] ppdet.engine INFO: Epoch: [120] [480/523] learning_rate: 0.182460 loss_vfl: 1.077523 loss_bbox: 0.472893 loss_dfl: 0.446543 loss: 2.018430 eta: 1 day, 0:07:34 batch_cost: 1.0595 data_cost: 0.0003 ips: 52.8545 images/s [03/18 06:13:25] ppdet.engine INFO: Epoch: [120] [500/523] learning_rate: 0.182407 loss_vfl: 1.079816 loss_bbox: 0.470254 loss_dfl: 0.439685 loss: 2.008228 eta: 1 day, 0:07:14 batch_cost: 0.8939 data_cost: 0.0002 ips: 62.6471 images/s [03/18 06:13:42] ppdet.engine INFO: Epoch: [120] [520/523] learning_rate: 0.182353 loss_vfl: 1.121440 loss_bbox: 0.493448 loss_dfl: 0.458278 loss: 2.070910 eta: 1 day, 0:06:51 batch_cost: 0.7663 data_cost: 0.0012 ips: 73.0749 images/s [03/18 06:13:54] ppdet.engine INFO: Epoch: [121] [ 0/523] learning_rate: 0.182345 loss_vfl: 1.098200 loss_bbox: 0.518962 loss_dfl: 0.468588 loss: 2.085658 eta: 1 day, 0:06:59 batch_cost: 1.1549 data_cost: 0.2662 ips: 48.4885 images/s [03/18 06:14:11] ppdet.engine INFO: Epoch: [121] [ 20/523] learning_rate: 0.182292 loss_vfl: 1.046931 loss_bbox: 0.462528 loss_dfl: 0.432084 loss: 1.961621 eta: 1 day, 0:06:35 batch_cost: 0.7226 data_cost: 0.0023 ips: 77.4939 images/s [03/18 06:14:31] ppdet.engine INFO: Epoch: [121] [ 40/523] learning_rate: 0.182238 loss_vfl: 1.110302 loss_bbox: 0.509003 loss_dfl: 0.452988 loss: 2.099061 eta: 1 day, 0:06:17 batch_cost: 0.9462 data_cost: 0.0039 ips: 59.1824 images/s [03/18 06:14:54] ppdet.engine INFO: Epoch: [121] [ 60/523] learning_rate: 0.182185 loss_vfl: 1.037800 loss_bbox: 0.486945 loss_dfl: 0.430254 loss: 1.967304 eta: 1 day, 0:06:01 batch_cost: 1.0308 data_cost: 0.0021 ips: 54.3265 images/s [03/18 06:15:16] ppdet.engine INFO: Epoch: [121] [ 80/523] learning_rate: 0.182131 loss_vfl: 1.041778 loss_bbox: 0.446868 loss_dfl: 0.430221 loss: 1.927456 eta: 1 day, 0:05:44 batch_cost: 0.9552 data_cost: 0.0127 ips: 58.6279 images/s [03/18 06:15:38] ppdet.engine INFO: Epoch: [121] [100/523] learning_rate: 0.182077 loss_vfl: 1.042748 loss_bbox: 0.471218 loss_dfl: 0.436410 loss: 1.949088 eta: 1 day, 0:05:28 batch_cost: 1.0157 data_cost: 0.0049 ips: 55.1347 images/s [03/18 06:15:59] ppdet.engine INFO: Epoch: [121] [120/523] learning_rate: 0.182024 loss_vfl: 1.068181 loss_bbox: 0.481112 loss_dfl: 0.449955 loss: 1.995539 eta: 1 day, 0:05:08 batch_cost: 0.8759 data_cost: 0.0033 ips: 63.9368 images/s [03/18 06:16:21] ppdet.engine INFO: Epoch: [121] [140/523] learning_rate: 0.181970 loss_vfl: 1.069134 loss_bbox: 0.460888 loss_dfl: 0.428462 loss: 1.952167 eta: 1 day, 0:04:52 batch_cost: 1.0440 data_cost: 0.0065 ips: 53.6404 images/s [03/18 06:16:42] ppdet.engine INFO: Epoch: [121] [160/523] learning_rate: 0.181917 loss_vfl: 1.076746 loss_bbox: 0.453961 loss_dfl: 0.417172 loss: 1.962258 eta: 1 day, 0:04:33 batch_cost: 0.9039 data_cost: 0.0050 ips: 61.9519 images/s [03/18 06:17:04] ppdet.engine INFO: Epoch: [121] [180/523] learning_rate: 0.181863 loss_vfl: 1.025464 loss_bbox: 0.458240 loss_dfl: 0.423845 loss: 1.881824 eta: 1 day, 0:04:15 batch_cost: 0.9252 data_cost: 0.0024 ips: 60.5277 images/s [03/18 06:17:28] ppdet.engine INFO: Epoch: [121] [200/523] learning_rate: 0.181809 loss_vfl: 1.091366 loss_bbox: 0.482219 loss_dfl: 0.448170 loss: 2.026221 eta: 1 day, 0:04:00 batch_cost: 1.0789 data_cost: 0.0050 ips: 51.9063 images/s [03/18 06:17:47] ppdet.engine INFO: Epoch: [121] [220/523] learning_rate: 0.181756 loss_vfl: 1.031804 loss_bbox: 0.460943 loss_dfl: 0.417960 loss: 1.857638 eta: 1 day, 0:03:39 batch_cost: 0.8186 data_cost: 0.0063 ips: 68.4121 images/s [03/18 06:18:11] ppdet.engine INFO: Epoch: [121] [240/523] learning_rate: 0.181702 loss_vfl: 1.107782 loss_bbox: 0.497424 loss_dfl: 0.459571 loss: 2.043027 eta: 1 day, 0:03:25 batch_cost: 1.1032 data_cost: 0.0026 ips: 50.7616 images/s [03/18 06:18:30] ppdet.engine INFO: Epoch: [121] [260/523] learning_rate: 0.181649 loss_vfl: 1.085233 loss_bbox: 0.463366 loss_dfl: 0.436800 loss: 1.958649 eta: 1 day, 0:03:03 batch_cost: 0.8094 data_cost: 0.0015 ips: 69.1883 images/s [03/18 06:18:46] ppdet.engine INFO: Epoch: [121] [280/523] learning_rate: 0.181595 loss_vfl: 1.115020 loss_bbox: 0.513572 loss_dfl: 0.462561 loss: 2.091152 eta: 1 day, 0:02:38 batch_cost: 0.6929 data_cost: 0.0034 ips: 80.8219 images/s [03/18 06:19:06] ppdet.engine INFO: Epoch: [121] [300/523] learning_rate: 0.181541 loss_vfl: 1.102992 loss_bbox: 0.473531 loss_dfl: 0.433854 loss: 1.980039 eta: 1 day, 0:02:18 batch_cost: 0.8699 data_cost: 0.0023 ips: 64.3753 images/s [03/18 06:19:28] ppdet.engine INFO: Epoch: [121] [320/523] learning_rate: 0.181488 loss_vfl: 1.097413 loss_bbox: 0.470827 loss_dfl: 0.435160 loss: 2.013830 eta: 1 day, 0:02:01 batch_cost: 0.9878 data_cost: 0.0036 ips: 56.6906 images/s [03/18 06:19:48] ppdet.engine INFO: Epoch: [121] [340/523] learning_rate: 0.181434 loss_vfl: 1.098706 loss_bbox: 0.481955 loss_dfl: 0.450346 loss: 2.057833 eta: 1 day, 0:01:42 batch_cost: 0.9023 data_cost: 0.0036 ips: 62.0660 images/s [03/18 06:20:11] ppdet.engine INFO: Epoch: [121] [360/523] learning_rate: 0.181380 loss_vfl: 1.049964 loss_bbox: 0.470762 loss_dfl: 0.435704 loss: 1.953811 eta: 1 day, 0:01:27 batch_cost: 1.0642 data_cost: 0.0046 ips: 52.6216 images/s [03/18 06:20:33] ppdet.engine INFO: Epoch: [121] [380/523] learning_rate: 0.181327 loss_vfl: 1.103123 loss_bbox: 0.494273 loss_dfl: 0.452038 loss: 2.036512 eta: 1 day, 0:01:10 batch_cost: 0.9933 data_cost: 0.0036 ips: 56.3787 images/s [03/18 06:20:53] ppdet.engine INFO: Epoch: [121] [400/523] learning_rate: 0.181273 loss_vfl: 1.077899 loss_bbox: 0.465998 loss_dfl: 0.422272 loss: 1.953287 eta: 1 day, 0:00:51 batch_cost: 0.9088 data_cost: 0.0062 ips: 61.6227 images/s [03/18 06:21:16] ppdet.engine INFO: Epoch: [121] [420/523] learning_rate: 0.181219 loss_vfl: 1.081706 loss_bbox: 0.470146 loss_dfl: 0.431613 loss: 1.981048 eta: 1 day, 0:00:36 batch_cost: 1.0209 data_cost: 0.0106 ips: 54.8516 images/s [03/18 06:21:38] ppdet.engine INFO: Epoch: [121] [440/523] learning_rate: 0.181166 loss_vfl: 1.147330 loss_bbox: 0.514000 loss_dfl: 0.467808 loss: 2.143514 eta: 1 day, 0:00:20 batch_cost: 1.0414 data_cost: 0.0046 ips: 53.7733 images/s [03/18 06:21:59] ppdet.engine INFO: Epoch: [121] [460/523] learning_rate: 0.181112 loss_vfl: 0.984128 loss_bbox: 0.449634 loss_dfl: 0.415373 loss: 1.849068 eta: 1 day, 0:00:02 batch_cost: 0.9207 data_cost: 0.0127 ips: 60.8215 images/s [03/18 06:22:21] ppdet.engine INFO: Epoch: [121] [480/523] learning_rate: 0.181058 loss_vfl: 1.092859 loss_bbox: 0.483575 loss_dfl: 0.454113 loss: 2.030313 eta: 23:59:43 batch_cost: 0.9371 data_cost: 0.0039 ips: 59.7588 images/s [03/18 06:22:43] ppdet.engine INFO: Epoch: [121] [500/523] learning_rate: 0.181005 loss_vfl: 1.082856 loss_bbox: 0.470160 loss_dfl: 0.441364 loss: 2.009902 eta: 23:59:27 batch_cost: 0.9997 data_cost: 0.0112 ips: 56.0185 images/s [03/18 06:22:59] ppdet.engine INFO: Epoch: [121] [520/523] learning_rate: 0.180951 loss_vfl: 1.051881 loss_bbox: 0.468643 loss_dfl: 0.430960 loss: 1.926070 eta: 23:59:03 batch_cost: 0.7358 data_cost: 0.0025 ips: 76.1049 images/s [03/18 06:23:12] ppdet.engine INFO: Epoch: [122] [ 0/523] learning_rate: 0.180943 loss_vfl: 1.076410 loss_bbox: 0.472493 loss_dfl: 0.440040 loss: 1.959566 eta: 23:59:13 batch_cost: 1.2018 data_cost: 0.4784 ips: 46.5977 images/s [03/18 06:23:30] ppdet.engine INFO: Epoch: [122] [ 20/523] learning_rate: 0.180889 loss_vfl: 1.082361 loss_bbox: 0.485927 loss_dfl: 0.451536 loss: 2.062921 eta: 23:58:48 batch_cost: 0.7319 data_cost: 0.0034 ips: 76.5118 images/s [03/18 06:23:46] ppdet.engine INFO: Epoch: [122] [ 40/523] learning_rate: 0.180835 loss_vfl: 1.102661 loss_bbox: 0.491876 loss_dfl: 0.459533 loss: 2.065878 eta: 23:58:23 batch_cost: 0.6929 data_cost: 0.0032 ips: 80.8242 images/s [03/18 06:24:08] ppdet.engine INFO: Epoch: [122] [ 60/523] learning_rate: 0.180782 loss_vfl: 1.017941 loss_bbox: 0.448189 loss_dfl: 0.407752 loss: 1.891644 eta: 23:58:04 batch_cost: 0.9178 data_cost: 0.0062 ips: 61.0138 images/s [03/18 06:24:30] ppdet.engine INFO: Epoch: [122] [ 80/523] learning_rate: 0.180728 loss_vfl: 1.035878 loss_bbox: 0.441845 loss_dfl: 0.428998 loss: 1.921191 eta: 23:57:46 batch_cost: 0.9491 data_cost: 0.0041 ips: 59.0039 images/s [03/18 06:24:50] ppdet.engine INFO: Epoch: [122] [100/523] learning_rate: 0.180674 loss_vfl: 1.071602 loss_bbox: 0.440432 loss_dfl: 0.415355 loss: 1.939570 eta: 23:57:25 batch_cost: 0.8335 data_cost: 0.0072 ips: 67.1857 images/s [03/18 06:25:11] ppdet.engine INFO: Epoch: [122] [120/523] learning_rate: 0.180620 loss_vfl: 1.098230 loss_bbox: 0.481946 loss_dfl: 0.442998 loss: 2.003917 eta: 23:57:05 batch_cost: 0.8632 data_cost: 0.0024 ips: 64.8715 images/s [03/18 06:25:33] ppdet.engine INFO: Epoch: [122] [140/523] learning_rate: 0.180567 loss_vfl: 1.072836 loss_bbox: 0.474254 loss_dfl: 0.438860 loss: 2.008535 eta: 23:56:47 batch_cost: 0.9524 data_cost: 0.0837 ips: 58.8002 images/s [03/18 06:25:53] ppdet.engine INFO: Epoch: [122] [160/523] learning_rate: 0.180513 loss_vfl: 1.085934 loss_bbox: 0.479606 loss_dfl: 0.437649 loss: 2.013367 eta: 23:56:25 batch_cost: 0.8335 data_cost: 0.0121 ips: 67.1834 images/s [03/18 06:26:15] ppdet.engine INFO: Epoch: [122] [180/523] learning_rate: 0.180459 loss_vfl: 1.046769 loss_bbox: 0.487271 loss_dfl: 0.433768 loss: 1.972898 eta: 23:56:07 batch_cost: 0.9209 data_cost: 0.0865 ips: 60.8088 images/s [03/18 06:26:35] ppdet.engine INFO: Epoch: [122] [200/523] learning_rate: 0.180405 loss_vfl: 1.041245 loss_bbox: 0.459992 loss_dfl: 0.436799 loss: 1.950747 eta: 23:55:43 batch_cost: 0.7630 data_cost: 0.0423 ips: 73.3959 images/s [03/18 06:26:57] ppdet.engine INFO: Epoch: [122] [220/523] learning_rate: 0.180352 loss_vfl: 1.117308 loss_bbox: 0.489537 loss_dfl: 0.452947 loss: 2.052834 eta: 23:55:26 batch_cost: 0.9574 data_cost: 0.2496 ips: 58.4901 images/s [03/18 06:27:17] ppdet.engine INFO: Epoch: [122] [240/523] learning_rate: 0.180298 loss_vfl: 1.066490 loss_bbox: 0.489663 loss_dfl: 0.445937 loss: 1.999928 eta: 23:55:05 batch_cost: 0.8512 data_cost: 0.1843 ips: 65.7889 images/s [03/18 06:27:40] ppdet.engine INFO: Epoch: [122] [260/523] learning_rate: 0.180244 loss_vfl: 1.034266 loss_bbox: 0.448931 loss_dfl: 0.429933 loss: 1.921495 eta: 23:54:45 batch_cost: 0.8963 data_cost: 0.2280 ips: 62.4795 images/s [03/18 06:28:02] ppdet.engine INFO: Epoch: [122] [280/523] learning_rate: 0.180190 loss_vfl: 1.024367 loss_bbox: 0.433522 loss_dfl: 0.407464 loss: 1.868310 eta: 23:54:25 batch_cost: 0.8640 data_cost: 0.1163 ips: 64.8131 images/s [03/18 06:28:19] ppdet.engine INFO: Epoch: [122] [300/523] learning_rate: 0.180136 loss_vfl: 1.072697 loss_bbox: 0.478329 loss_dfl: 0.443449 loss: 1.990531 eta: 23:54:00 batch_cost: 0.6882 data_cost: 0.0131 ips: 81.3697 images/s [03/18 06:28:35] ppdet.engine INFO: Epoch: [122] [320/523] learning_rate: 0.180082 loss_vfl: 1.062916 loss_bbox: 0.456867 loss_dfl: 0.419044 loss: 1.934622 eta: 23:53:34 batch_cost: 0.6943 data_cost: 0.0082 ips: 80.6513 images/s [03/18 06:28:57] ppdet.engine INFO: Epoch: [122] [340/523] learning_rate: 0.180029 loss_vfl: 1.077368 loss_bbox: 0.468148 loss_dfl: 0.435901 loss: 1.991270 eta: 23:53:17 batch_cost: 0.9806 data_cost: 0.3096 ips: 57.1069 images/s [03/18 06:29:19] ppdet.engine INFO: Epoch: [122] [360/523] learning_rate: 0.179975 loss_vfl: 1.037486 loss_bbox: 0.442396 loss_dfl: 0.431507 loss: 1.912680 eta: 23:53:00 batch_cost: 0.9789 data_cost: 0.1616 ips: 57.2084 images/s [03/18 06:29:39] ppdet.engine INFO: Epoch: [122] [380/523] learning_rate: 0.179921 loss_vfl: 1.085757 loss_bbox: 0.476918 loss_dfl: 0.439386 loss: 1.992400 eta: 23:52:40 batch_cost: 0.8560 data_cost: 0.1557 ips: 65.4197 images/s [03/18 06:30:01] ppdet.engine INFO: Epoch: [122] [400/523] learning_rate: 0.179867 loss_vfl: 1.062042 loss_bbox: 0.467710 loss_dfl: 0.429497 loss: 1.954892 eta: 23:52:22 batch_cost: 0.9462 data_cost: 0.1607 ips: 59.1851 images/s [03/18 06:30:22] ppdet.engine INFO: Epoch: [122] [420/523] learning_rate: 0.179813 loss_vfl: 1.076391 loss_bbox: 0.458802 loss_dfl: 0.416452 loss: 1.968328 eta: 23:52:03 batch_cost: 0.9056 data_cost: 0.2021 ips: 61.8377 images/s [03/18 06:30:42] ppdet.engine INFO: Epoch: [122] [440/523] learning_rate: 0.179759 loss_vfl: 1.048020 loss_bbox: 0.462224 loss_dfl: 0.434537 loss: 1.944555 eta: 23:51:43 batch_cost: 0.8786 data_cost: 0.0949 ips: 63.7353 images/s [03/18 06:31:02] ppdet.engine INFO: Epoch: [122] [460/523] learning_rate: 0.179706 loss_vfl: 1.121646 loss_bbox: 0.484512 loss_dfl: 0.452839 loss: 2.077540 eta: 23:51:22 batch_cost: 0.8679 data_cost: 0.0121 ips: 64.5269 images/s [03/18 06:31:25] ppdet.engine INFO: Epoch: [122] [480/523] learning_rate: 0.179652 loss_vfl: 1.080084 loss_bbox: 0.441731 loss_dfl: 0.418683 loss: 1.950068 eta: 23:51:05 batch_cost: 0.9836 data_cost: 0.2439 ips: 56.9365 images/s [03/18 06:31:48] ppdet.engine INFO: Epoch: [122] [500/523] learning_rate: 0.179598 loss_vfl: 1.114885 loss_bbox: 0.510396 loss_dfl: 0.461079 loss: 2.053427 eta: 23:50:50 batch_cost: 1.0320 data_cost: 0.3093 ips: 54.2640 images/s [03/18 06:32:04] ppdet.engine INFO: Epoch: [122] [520/523] learning_rate: 0.179544 loss_vfl: 1.080034 loss_bbox: 0.478973 loss_dfl: 0.434143 loss: 2.005890 eta: 23:50:24 batch_cost: 0.6634 data_cost: 0.0047 ips: 84.4148 images/s [03/18 06:32:18] ppdet.engine INFO: Epoch: [123] [ 0/523] learning_rate: 0.179536 loss_vfl: 1.074732 loss_bbox: 0.476400 loss_dfl: 0.432504 loss: 1.998547 eta: 23:50:35 batch_cost: 1.1800 data_cost: 0.4755 ips: 47.4586 images/s [03/18 06:32:37] ppdet.engine INFO: Epoch: [123] [ 20/523] learning_rate: 0.179482 loss_vfl: 1.139628 loss_bbox: 0.496079 loss_dfl: 0.458589 loss: 2.139624 eta: 23:50:12 batch_cost: 0.7789 data_cost: 0.0010 ips: 71.8986 images/s [03/18 06:32:59] ppdet.engine INFO: Epoch: [123] [ 40/523] learning_rate: 0.179428 loss_vfl: 1.127545 loss_bbox: 0.494206 loss_dfl: 0.448938 loss: 2.068156 eta: 23:49:54 batch_cost: 0.9506 data_cost: 0.0080 ips: 58.9118 images/s [03/18 06:33:17] ppdet.engine INFO: Epoch: [123] [ 60/523] learning_rate: 0.179374 loss_vfl: 1.071530 loss_bbox: 0.465425 loss_dfl: 0.435096 loss: 1.969984 eta: 23:49:32 batch_cost: 0.7992 data_cost: 0.0397 ips: 70.0668 images/s [03/18 06:33:36] ppdet.engine INFO: Epoch: [123] [ 80/523] learning_rate: 0.179320 loss_vfl: 1.034285 loss_bbox: 0.465199 loss_dfl: 0.424512 loss: 1.918256 eta: 23:49:11 batch_cost: 0.8301 data_cost: 0.0467 ips: 67.4610 images/s [03/18 06:33:58] ppdet.engine INFO: Epoch: [123] [100/523] learning_rate: 0.179266 loss_vfl: 1.109712 loss_bbox: 0.492238 loss_dfl: 0.442969 loss: 2.035921 eta: 23:48:52 batch_cost: 0.9398 data_cost: 0.2012 ips: 59.5899 images/s [03/18 06:34:18] ppdet.engine INFO: Epoch: [123] [120/523] learning_rate: 0.179212 loss_vfl: 1.019454 loss_bbox: 0.471213 loss_dfl: 0.428499 loss: 1.908150 eta: 23:48:33 batch_cost: 0.8932 data_cost: 0.1569 ips: 62.6981 images/s [03/18 06:34:42] ppdet.engine INFO: Epoch: [123] [140/523] learning_rate: 0.179159 loss_vfl: 1.049373 loss_bbox: 0.469850 loss_dfl: 0.433187 loss: 1.946305 eta: 23:48:18 batch_cost: 1.0543 data_cost: 0.2778 ips: 53.1138 images/s [03/18 06:35:02] ppdet.engine INFO: Epoch: [123] [160/523] learning_rate: 0.179105 loss_vfl: 1.039803 loss_bbox: 0.476458 loss_dfl: 0.434149 loss: 1.939881 eta: 23:47:58 batch_cost: 0.8749 data_cost: 0.0464 ips: 64.0079 images/s [03/18 06:35:26] ppdet.engine INFO: Epoch: [123] [180/523] learning_rate: 0.179051 loss_vfl: 1.038587 loss_bbox: 0.435734 loss_dfl: 0.409365 loss: 1.875562 eta: 23:47:42 batch_cost: 1.0111 data_cost: 0.2041 ips: 55.3842 images/s [03/18 06:35:47] ppdet.engine INFO: Epoch: [123] [200/523] learning_rate: 0.178997 loss_vfl: 1.089972 loss_bbox: 0.470804 loss_dfl: 0.439784 loss: 2.004330 eta: 23:47:23 batch_cost: 0.9302 data_cost: 0.1618 ips: 60.2033 images/s [03/18 06:36:09] ppdet.engine INFO: Epoch: [123] [220/523] learning_rate: 0.178943 loss_vfl: 1.052923 loss_bbox: 0.454798 loss_dfl: 0.423574 loss: 1.926211 eta: 23:47:06 batch_cost: 0.9635 data_cost: 0.2826 ips: 58.1191 images/s [03/18 06:36:29] ppdet.engine INFO: Epoch: [123] [240/523] learning_rate: 0.178889 loss_vfl: 1.048454 loss_bbox: 0.453338 loss_dfl: 0.433440 loss: 1.978106 eta: 23:46:43 batch_cost: 0.7776 data_cost: 0.0017 ips: 72.0159 images/s [03/18 06:36:52] ppdet.engine INFO: Epoch: [123] [260/523] learning_rate: 0.178835 loss_vfl: 1.061489 loss_bbox: 0.453551 loss_dfl: 0.422710 loss: 1.948840 eta: 23:46:23 batch_cost: 0.8560 data_cost: 0.0807 ips: 65.4192 images/s [03/18 06:37:12] ppdet.engine INFO: Epoch: [123] [280/523] learning_rate: 0.178781 loss_vfl: 1.089302 loss_bbox: 0.499311 loss_dfl: 0.452215 loss: 2.067636 eta: 23:46:02 batch_cost: 0.8477 data_cost: 0.0011 ips: 66.0582 images/s [03/18 06:37:33] ppdet.engine INFO: Epoch: [123] [300/523] learning_rate: 0.178727 loss_vfl: 1.097930 loss_bbox: 0.494530 loss_dfl: 0.452964 loss: 2.068673 eta: 23:45:40 batch_cost: 0.8227 data_cost: 0.1020 ips: 68.0678 images/s [03/18 06:37:56] ppdet.engine INFO: Epoch: [123] [320/523] learning_rate: 0.178673 loss_vfl: 1.040498 loss_bbox: 0.486625 loss_dfl: 0.436839 loss: 1.957787 eta: 23:45:23 batch_cost: 0.9586 data_cost: 0.1977 ips: 58.4206 images/s [03/18 06:38:12] ppdet.engine INFO: Epoch: [123] [340/523] learning_rate: 0.178619 loss_vfl: 1.120613 loss_bbox: 0.507176 loss_dfl: 0.453856 loss: 2.099712 eta: 23:44:54 batch_cost: 0.5666 data_cost: 0.0114 ips: 98.8372 images/s [03/18 06:38:29] ppdet.engine INFO: Epoch: [123] [360/523] learning_rate: 0.178565 loss_vfl: 1.048939 loss_bbox: 0.474754 loss_dfl: 0.437721 loss: 1.960909 eta: 23:44:30 batch_cost: 0.7595 data_cost: 0.0075 ips: 73.7306 images/s [03/18 06:38:51] ppdet.engine INFO: Epoch: [123] [380/523] learning_rate: 0.178511 loss_vfl: 1.104115 loss_bbox: 0.489460 loss_dfl: 0.455913 loss: 2.066235 eta: 23:44:12 batch_cost: 0.9152 data_cost: 0.2471 ips: 61.1919 images/s [03/18 06:39:12] ppdet.engine INFO: Epoch: [123] [400/523] learning_rate: 0.178457 loss_vfl: 1.104614 loss_bbox: 0.483920 loss_dfl: 0.440613 loss: 2.021994 eta: 23:43:54 batch_cost: 0.9502 data_cost: 0.2074 ips: 58.9377 images/s [03/18 06:39:34] ppdet.engine INFO: Epoch: [123] [420/523] learning_rate: 0.178403 loss_vfl: 1.071503 loss_bbox: 0.481195 loss_dfl: 0.441338 loss: 1.989933 eta: 23:43:33 batch_cost: 0.8598 data_cost: 0.1717 ips: 65.1302 images/s [03/18 06:39:57] ppdet.engine INFO: Epoch: [123] [440/523] learning_rate: 0.178349 loss_vfl: 1.079715 loss_bbox: 0.488015 loss_dfl: 0.449038 loss: 2.037154 eta: 23:43:14 batch_cost: 0.9165 data_cost: 0.0752 ips: 61.1024 images/s [03/18 06:40:18] ppdet.engine INFO: Epoch: [123] [460/523] learning_rate: 0.178295 loss_vfl: 1.058376 loss_bbox: 0.471003 loss_dfl: 0.441941 loss: 1.959827 eta: 23:42:56 batch_cost: 0.9354 data_cost: 0.0711 ips: 59.8666 images/s [03/18 06:40:37] ppdet.engine INFO: Epoch: [123] [480/523] learning_rate: 0.178241 loss_vfl: 1.086453 loss_bbox: 0.489664 loss_dfl: 0.446634 loss: 2.022957 eta: 23:42:34 batch_cost: 0.8130 data_cost: 0.0040 ips: 68.8832 images/s [03/18 06:40:58] ppdet.engine INFO: Epoch: [123] [500/523] learning_rate: 0.178187 loss_vfl: 1.050238 loss_bbox: 0.463014 loss_dfl: 0.419903 loss: 1.932540 eta: 23:42:16 batch_cost: 0.9337 data_cost: 0.1060 ips: 59.9779 images/s [03/18 06:41:16] ppdet.engine INFO: Epoch: [123] [520/523] learning_rate: 0.178133 loss_vfl: 1.066863 loss_bbox: 0.471442 loss_dfl: 0.442589 loss: 1.997042 eta: 23:41:54 batch_cost: 0.8058 data_cost: 0.1367 ips: 69.4934 images/s [03/18 06:41:28] ppdet.engine INFO: Epoch: [124] [ 0/523] learning_rate: 0.178125 loss_vfl: 1.062557 loss_bbox: 0.478296 loss_dfl: 0.435877 loss: 1.972764 eta: 23:42:02 batch_cost: 1.1605 data_cost: 0.4315 ips: 48.2530 images/s [03/18 06:41:49] ppdet.engine INFO: Epoch: [124] [ 20/523] learning_rate: 0.178071 loss_vfl: 1.069642 loss_bbox: 0.466191 loss_dfl: 0.427911 loss: 1.946925 eta: 23:41:43 batch_cost: 0.9071 data_cost: 0.0044 ips: 61.7347 images/s [03/18 06:42:12] ppdet.engine INFO: Epoch: [124] [ 40/523] learning_rate: 0.178017 loss_vfl: 1.057062 loss_bbox: 0.478519 loss_dfl: 0.445866 loss: 1.983667 eta: 23:41:28 batch_cost: 1.0588 data_cost: 0.0041 ips: 52.8893 images/s [03/18 06:42:33] ppdet.engine INFO: Epoch: [124] [ 60/523] learning_rate: 0.177962 loss_vfl: 1.037589 loss_bbox: 0.460100 loss_dfl: 0.423472 loss: 1.919143 eta: 23:41:10 batch_cost: 0.9651 data_cost: 0.0013 ips: 58.0262 images/s [03/18 06:42:53] ppdet.engine INFO: Epoch: [124] [ 80/523] learning_rate: 0.177908 loss_vfl: 1.051058 loss_bbox: 0.457734 loss_dfl: 0.432600 loss: 1.975364 eta: 23:40:50 batch_cost: 0.8622 data_cost: 0.0032 ips: 64.9468 images/s [03/18 06:43:09] ppdet.engine INFO: Epoch: [124] [100/523] learning_rate: 0.177854 loss_vfl: 1.037197 loss_bbox: 0.469300 loss_dfl: 0.442709 loss: 1.967828 eta: 23:40:25 batch_cost: 0.6798 data_cost: 0.0027 ips: 82.3812 images/s [03/18 06:43:28] ppdet.engine INFO: Epoch: [124] [120/523] learning_rate: 0.177800 loss_vfl: 1.037368 loss_bbox: 0.466556 loss_dfl: 0.434938 loss: 1.938715 eta: 23:40:05 batch_cost: 0.8726 data_cost: 0.0028 ips: 64.1737 images/s [03/18 06:43:51] ppdet.engine INFO: Epoch: [124] [140/523] learning_rate: 0.177746 loss_vfl: 1.006914 loss_bbox: 0.471678 loss_dfl: 0.435959 loss: 1.940591 eta: 23:39:46 batch_cost: 0.9328 data_cost: 0.0035 ips: 60.0364 images/s [03/18 06:44:13] ppdet.engine INFO: Epoch: [124] [160/523] learning_rate: 0.177692 loss_vfl: 1.064958 loss_bbox: 0.455953 loss_dfl: 0.424642 loss: 1.987323 eta: 23:39:29 batch_cost: 0.9715 data_cost: 0.0086 ips: 57.6440 images/s [03/18 06:44:35] ppdet.engine INFO: Epoch: [124] [180/523] learning_rate: 0.177638 loss_vfl: 1.038965 loss_bbox: 0.457166 loss_dfl: 0.411734 loss: 1.927483 eta: 23:39:12 batch_cost: 0.9942 data_cost: 0.0040 ips: 56.3293 images/s [03/18 06:44:55] ppdet.engine INFO: Epoch: [124] [200/523] learning_rate: 0.177584 loss_vfl: 1.024845 loss_bbox: 0.445665 loss_dfl: 0.415119 loss: 1.879444 eta: 23:38:53 batch_cost: 0.8880 data_cost: 0.0050 ips: 63.0612 images/s [03/18 06:45:19] ppdet.engine INFO: Epoch: [124] [220/523] learning_rate: 0.177530 loss_vfl: 1.044804 loss_bbox: 0.446751 loss_dfl: 0.429475 loss: 1.902917 eta: 23:38:38 batch_cost: 1.0667 data_cost: 0.0030 ips: 52.4962 images/s [03/18 06:45:40] ppdet.engine INFO: Epoch: [124] [240/523] learning_rate: 0.177476 loss_vfl: 1.034333 loss_bbox: 0.465203 loss_dfl: 0.424994 loss: 1.916795 eta: 23:38:20 batch_cost: 0.9432 data_cost: 0.0050 ips: 59.3700 images/s [03/18 06:46:02] ppdet.engine INFO: Epoch: [124] [260/523] learning_rate: 0.177421 loss_vfl: 1.127015 loss_bbox: 0.517040 loss_dfl: 0.459939 loss: 2.103941 eta: 23:38:03 batch_cost: 0.9889 data_cost: 0.0036 ips: 56.6305 images/s [03/18 06:46:22] ppdet.engine INFO: Epoch: [124] [280/523] learning_rate: 0.177367 loss_vfl: 1.071546 loss_bbox: 0.476471 loss_dfl: 0.438211 loss: 1.996940 eta: 23:37:44 batch_cost: 0.8927 data_cost: 0.0090 ips: 62.7306 images/s [03/18 06:46:42] ppdet.engine INFO: Epoch: [124] [300/523] learning_rate: 0.177313 loss_vfl: 1.053417 loss_bbox: 0.472650 loss_dfl: 0.430727 loss: 1.936030 eta: 23:37:24 batch_cost: 0.9006 data_cost: 0.0153 ips: 62.1829 images/s [03/18 06:47:07] ppdet.engine INFO: Epoch: [124] [320/523] learning_rate: 0.177259 loss_vfl: 1.083590 loss_bbox: 0.484928 loss_dfl: 0.447526 loss: 2.007905 eta: 23:37:11 batch_cost: 1.1178 data_cost: 0.0024 ips: 50.0987 images/s [03/18 06:47:27] ppdet.engine INFO: Epoch: [124] [340/523] learning_rate: 0.177205 loss_vfl: 1.018025 loss_bbox: 0.455741 loss_dfl: 0.413563 loss: 1.890187 eta: 23:36:53 batch_cost: 0.9386 data_cost: 0.0003 ips: 59.6605 images/s [03/18 06:47:45] ppdet.engine INFO: Epoch: [124] [360/523] learning_rate: 0.177151 loss_vfl: 1.037800 loss_bbox: 0.451290 loss_dfl: 0.420327 loss: 1.905477 eta: 23:36:31 batch_cost: 0.8129 data_cost: 0.0051 ips: 68.8920 images/s [03/18 06:48:02] ppdet.engine INFO: Epoch: [124] [380/523] learning_rate: 0.177097 loss_vfl: 1.099672 loss_bbox: 0.476066 loss_dfl: 0.448279 loss: 2.052132 eta: 23:36:07 batch_cost: 0.7244 data_cost: 0.0014 ips: 77.3058 images/s [03/18 06:48:25] ppdet.engine INFO: Epoch: [124] [400/523] learning_rate: 0.177042 loss_vfl: 1.095441 loss_bbox: 0.493623 loss_dfl: 0.446647 loss: 2.054911 eta: 23:35:52 batch_cost: 1.0588 data_cost: 0.0058 ips: 52.8884 images/s [03/18 06:48:47] ppdet.engine INFO: Epoch: [124] [420/523] learning_rate: 0.176988 loss_vfl: 1.052953 loss_bbox: 0.469480 loss_dfl: 0.437798 loss: 1.951656 eta: 23:35:35 batch_cost: 0.9826 data_cost: 0.0103 ips: 56.9938 images/s [03/18 06:49:09] ppdet.engine INFO: Epoch: [124] [440/523] learning_rate: 0.176934 loss_vfl: 1.094998 loss_bbox: 0.502910 loss_dfl: 0.463261 loss: 2.072716 eta: 23:35:18 batch_cost: 0.9893 data_cost: 0.0024 ips: 56.6051 images/s [03/18 06:49:29] ppdet.engine INFO: Epoch: [124] [460/523] learning_rate: 0.176880 loss_vfl: 1.026305 loss_bbox: 0.448902 loss_dfl: 0.423128 loss: 1.892606 eta: 23:34:59 batch_cost: 0.8794 data_cost: 0.0082 ips: 63.6786 images/s [03/18 06:49:52] ppdet.engine INFO: Epoch: [124] [480/523] learning_rate: 0.176826 loss_vfl: 1.075613 loss_bbox: 0.489660 loss_dfl: 0.446689 loss: 2.006351 eta: 23:34:44 batch_cost: 1.0547 data_cost: 0.0048 ips: 53.0950 images/s [03/18 06:50:14] ppdet.engine INFO: Epoch: [124] [500/523] learning_rate: 0.176772 loss_vfl: 1.077732 loss_bbox: 0.465164 loss_dfl: 0.435512 loss: 1.978644 eta: 23:34:28 batch_cost: 1.0256 data_cost: 0.0047 ips: 54.6030 images/s [03/18 06:50:32] ppdet.engine INFO: Epoch: [124] [520/523] learning_rate: 0.176717 loss_vfl: 1.071669 loss_bbox: 0.478139 loss_dfl: 0.447616 loss: 1.976231 eta: 23:34:06 batch_cost: 0.8140 data_cost: 0.0011 ips: 68.7952 images/s [03/18 06:50:43] ppdet.engine INFO: Epoch: [125] [ 0/523] learning_rate: 0.176709 loss_vfl: 1.071669 loss_bbox: 0.474738 loss_dfl: 0.447616 loss: 1.976231 eta: 23:34:13 batch_cost: 1.1016 data_cost: 0.2591 ips: 50.8344 images/s [03/18 06:51:07] ppdet.engine INFO: Epoch: [125] [ 20/523] learning_rate: 0.176655 loss_vfl: 1.082954 loss_bbox: 0.466284 loss_dfl: 0.427515 loss: 1.977311 eta: 23:33:58 batch_cost: 1.0516 data_cost: 0.0026 ips: 53.2524 images/s [03/18 06:51:32] ppdet.engine INFO: Epoch: [125] [ 40/523] learning_rate: 0.176601 loss_vfl: 1.034948 loss_bbox: 0.459935 loss_dfl: 0.440407 loss: 1.940517 eta: 23:33:47 batch_cost: 1.1952 data_cost: 0.0013 ips: 46.8548 images/s [03/18 06:51:52] ppdet.engine INFO: Epoch: [125] [ 60/523] learning_rate: 0.176547 loss_vfl: 1.096321 loss_bbox: 0.481819 loss_dfl: 0.460921 loss: 2.063084 eta: 23:33:27 batch_cost: 0.8778 data_cost: 0.0013 ips: 63.7979 images/s [03/18 06:52:13] ppdet.engine INFO: Epoch: [125] [ 80/523] learning_rate: 0.176492 loss_vfl: 1.044348 loss_bbox: 0.453957 loss_dfl: 0.420561 loss: 1.904186 eta: 23:33:10 batch_cost: 0.9941 data_cost: 0.0011 ips: 56.3300 images/s [03/18 06:52:33] ppdet.engine INFO: Epoch: [125] [100/523] learning_rate: 0.176438 loss_vfl: 1.063236 loss_bbox: 0.476695 loss_dfl: 0.445521 loss: 1.987763 eta: 23:32:51 batch_cost: 0.9228 data_cost: 0.0003 ips: 60.6870 images/s [03/18 06:52:52] ppdet.engine INFO: Epoch: [125] [120/523] learning_rate: 0.176384 loss_vfl: 1.049027 loss_bbox: 0.470424 loss_dfl: 0.435323 loss: 1.976068 eta: 23:32:31 batch_cost: 0.8471 data_cost: 0.0005 ips: 66.1080 images/s [03/18 06:53:17] ppdet.engine INFO: Epoch: [125] [140/523] learning_rate: 0.176330 loss_vfl: 1.060205 loss_bbox: 0.476187 loss_dfl: 0.442401 loss: 1.973636 eta: 23:32:19 batch_cost: 1.1659 data_cost: 0.0031 ips: 48.0299 images/s [03/18 06:53:40] ppdet.engine INFO: Epoch: [125] [160/523] learning_rate: 0.176275 loss_vfl: 1.111441 loss_bbox: 0.492168 loss_dfl: 0.450921 loss: 2.057475 eta: 23:32:05 batch_cost: 1.0813 data_cost: 0.0021 ips: 51.7914 images/s [03/18 06:54:02] ppdet.engine INFO: Epoch: [125] [180/523] learning_rate: 0.176221 loss_vfl: 1.006760 loss_bbox: 0.456010 loss_dfl: 0.416991 loss: 1.889649 eta: 23:31:48 batch_cost: 1.0135 data_cost: 0.0042 ips: 55.2548 images/s [03/18 06:54:23] ppdet.engine INFO: Epoch: [125] [200/523] learning_rate: 0.176167 loss_vfl: 1.013655 loss_bbox: 0.463741 loss_dfl: 0.430248 loss: 1.919977 eta: 23:31:29 batch_cost: 0.9123 data_cost: 0.0016 ips: 61.3866 images/s [03/18 06:54:44] ppdet.engine INFO: Epoch: [125] [220/523] learning_rate: 0.176113 loss_vfl: 1.146260 loss_bbox: 0.522221 loss_dfl: 0.468805 loss: 2.112445 eta: 23:31:13 batch_cost: 0.9923 data_cost: 0.0019 ips: 56.4360 images/s [03/18 06:55:07] ppdet.engine INFO: Epoch: [125] [240/523] learning_rate: 0.176058 loss_vfl: 1.028685 loss_bbox: 0.443893 loss_dfl: 0.415808 loss: 1.883842 eta: 23:30:56 batch_cost: 1.0003 data_cost: 0.0015 ips: 55.9853 images/s [03/18 06:55:29] ppdet.engine INFO: Epoch: [125] [260/523] learning_rate: 0.176004 loss_vfl: 1.130641 loss_bbox: 0.489047 loss_dfl: 0.456645 loss: 2.096909 eta: 23:30:39 batch_cost: 0.9704 data_cost: 0.0044 ips: 57.7057 images/s [03/18 06:55:52] ppdet.engine INFO: Epoch: [125] [280/523] learning_rate: 0.175950 loss_vfl: 1.082977 loss_bbox: 0.451262 loss_dfl: 0.425965 loss: 1.970361 eta: 23:30:24 batch_cost: 1.0560 data_cost: 0.0040 ips: 53.0294 images/s [03/18 06:56:15] ppdet.engine INFO: Epoch: [125] [300/523] learning_rate: 0.175895 loss_vfl: 0.984908 loss_bbox: 0.427887 loss_dfl: 0.409622 loss: 1.816544 eta: 23:30:08 batch_cost: 1.0137 data_cost: 0.0017 ips: 55.2425 images/s [03/18 06:56:38] ppdet.engine INFO: Epoch: [125] [320/523] learning_rate: 0.175841 loss_vfl: 1.120166 loss_bbox: 0.482855 loss_dfl: 0.432669 loss: 1.995569 eta: 23:29:52 batch_cost: 1.0277 data_cost: 0.0013 ips: 54.4897 images/s [03/18 06:56:56] ppdet.engine INFO: Epoch: [125] [340/523] learning_rate: 0.175787 loss_vfl: 1.049367 loss_bbox: 0.477502 loss_dfl: 0.429179 loss: 1.961845 eta: 23:29:30 batch_cost: 0.7952 data_cost: 0.0030 ips: 70.4237 images/s [03/18 06:57:14] ppdet.engine INFO: Epoch: [125] [360/523] learning_rate: 0.175733 loss_vfl: 1.073815 loss_bbox: 0.464544 loss_dfl: 0.426776 loss: 1.980772 eta: 23:29:08 batch_cost: 0.8002 data_cost: 0.0025 ips: 69.9829 images/s [03/18 06:57:33] ppdet.engine INFO: Epoch: [125] [380/523] learning_rate: 0.175678 loss_vfl: 1.036261 loss_bbox: 0.468585 loss_dfl: 0.423152 loss: 1.953029 eta: 23:28:47 batch_cost: 0.8695 data_cost: 0.0079 ips: 64.4084 images/s [03/18 06:57:58] ppdet.engine INFO: Epoch: [125] [400/523] learning_rate: 0.175624 loss_vfl: 1.037795 loss_bbox: 0.461620 loss_dfl: 0.416916 loss: 1.899852 eta: 23:28:33 batch_cost: 1.0861 data_cost: 0.0054 ips: 51.5614 images/s [03/18 06:58:20] ppdet.engine INFO: Epoch: [125] [420/523] learning_rate: 0.175570 loss_vfl: 1.070745 loss_bbox: 0.461372 loss_dfl: 0.422749 loss: 1.946589 eta: 23:28:17 batch_cost: 0.9893 data_cost: 0.0040 ips: 56.6038 images/s [03/18 06:58:42] ppdet.engine INFO: Epoch: [125] [440/523] learning_rate: 0.175515 loss_vfl: 1.007151 loss_bbox: 0.446380 loss_dfl: 0.413170 loss: 1.871177 eta: 23:28:01 batch_cost: 1.0291 data_cost: 0.0025 ips: 54.4178 images/s [03/18 06:59:04] ppdet.engine INFO: Epoch: [125] [460/523] learning_rate: 0.175461 loss_vfl: 1.013114 loss_bbox: 0.438948 loss_dfl: 0.419351 loss: 1.871988 eta: 23:27:44 batch_cost: 0.9938 data_cost: 0.0031 ips: 56.3500 images/s [03/18 06:59:27] ppdet.engine INFO: Epoch: [125] [480/523] learning_rate: 0.175407 loss_vfl: 1.062247 loss_bbox: 0.476098 loss_dfl: 0.441235 loss: 1.974182 eta: 23:27:29 batch_cost: 1.0485 data_cost: 0.0131 ips: 53.4105 images/s [03/18 06:59:50] ppdet.engine INFO: Epoch: [125] [500/523] learning_rate: 0.175352 loss_vfl: 1.028067 loss_bbox: 0.471414 loss_dfl: 0.430352 loss: 1.927326 eta: 23:27:13 batch_cost: 1.0149 data_cost: 0.0016 ips: 55.1766 images/s [03/18 07:00:07] ppdet.engine INFO: Epoch: [125] [520/523] learning_rate: 0.175298 loss_vfl: 1.111120 loss_bbox: 0.485226 loss_dfl: 0.444019 loss: 2.042173 eta: 23:26:50 batch_cost: 0.7729 data_cost: 0.0016 ips: 72.4544 images/s [03/18 07:00:18] ppdet.engine INFO: Epoch: [126] [ 0/523] learning_rate: 0.175290 loss_vfl: 1.071641 loss_bbox: 0.475285 loss_dfl: 0.437985 loss: 1.987444 eta: 23:26:57 batch_cost: 1.1428 data_cost: 0.3759 ips: 49.0035 images/s [03/18 07:00:41] ppdet.engine INFO: Epoch: [126] [ 20/523] learning_rate: 0.175235 loss_vfl: 1.016719 loss_bbox: 0.442107 loss_dfl: 0.415917 loss: 1.878953 eta: 23:26:41 batch_cost: 1.0150 data_cost: 0.0072 ips: 55.1751 images/s [03/18 07:01:04] ppdet.engine INFO: Epoch: [126] [ 40/523] learning_rate: 0.175181 loss_vfl: 1.056823 loss_bbox: 0.460272 loss_dfl: 0.439171 loss: 1.982577 eta: 23:26:26 batch_cost: 1.0893 data_cost: 0.0036 ips: 51.4092 images/s [03/18 07:01:27] ppdet.engine INFO: Epoch: [126] [ 60/523] learning_rate: 0.175127 loss_vfl: 1.129174 loss_bbox: 0.485011 loss_dfl: 0.456816 loss: 2.051174 eta: 23:26:12 batch_cost: 1.0607 data_cost: 0.0014 ips: 52.7972 images/s [03/18 07:01:43] ppdet.engine INFO: Epoch: [126] [ 80/523] learning_rate: 0.175072 loss_vfl: 1.150245 loss_bbox: 0.489518 loss_dfl: 0.462859 loss: 2.118786 eta: 23:25:47 batch_cost: 0.6999 data_cost: 0.0045 ips: 80.0130 images/s [03/18 07:02:04] ppdet.engine INFO: Epoch: [126] [100/523] learning_rate: 0.175018 loss_vfl: 1.049348 loss_bbox: 0.467678 loss_dfl: 0.434919 loss: 1.932736 eta: 23:25:27 batch_cost: 0.8823 data_cost: 0.0017 ips: 63.4677 images/s [03/18 07:02:26] ppdet.engine INFO: Epoch: [126] [120/523] learning_rate: 0.174963 loss_vfl: 1.085563 loss_bbox: 0.454295 loss_dfl: 0.428656 loss: 1.974021 eta: 23:25:12 batch_cost: 1.0437 data_cost: 0.0018 ips: 53.6566 images/s [03/18 07:02:52] ppdet.engine INFO: Epoch: [126] [140/523] learning_rate: 0.174909 loss_vfl: 1.074980 loss_bbox: 0.478344 loss_dfl: 0.447689 loss: 2.002520 eta: 23:25:00 batch_cost: 1.1881 data_cost: 0.0042 ips: 47.1339 images/s [03/18 07:03:12] ppdet.engine INFO: Epoch: [126] [160/523] learning_rate: 0.174855 loss_vfl: 1.060678 loss_bbox: 0.474354 loss_dfl: 0.435674 loss: 1.968374 eta: 23:24:41 batch_cost: 0.9021 data_cost: 0.0044 ips: 62.0765 images/s [03/18 07:03:35] ppdet.engine INFO: Epoch: [126] [180/523] learning_rate: 0.174800 loss_vfl: 1.061568 loss_bbox: 0.497145 loss_dfl: 0.458227 loss: 2.002895 eta: 23:24:25 batch_cost: 1.0328 data_cost: 0.0044 ips: 54.2229 images/s [03/18 07:03:59] ppdet.engine INFO: Epoch: [126] [200/523] learning_rate: 0.174746 loss_vfl: 1.060288 loss_bbox: 0.459472 loss_dfl: 0.427539 loss: 1.964491 eta: 23:24:11 batch_cost: 1.0860 data_cost: 0.0019 ips: 51.5660 images/s [03/18 07:04:20] ppdet.engine INFO: Epoch: [126] [220/523] learning_rate: 0.174691 loss_vfl: 1.039781 loss_bbox: 0.451428 loss_dfl: 0.417951 loss: 1.913919 eta: 23:23:55 batch_cost: 1.0049 data_cost: 0.0019 ips: 55.7281 images/s [03/18 07:04:43] ppdet.engine INFO: Epoch: [126] [240/523] learning_rate: 0.174637 loss_vfl: 1.081695 loss_bbox: 0.477681 loss_dfl: 0.455900 loss: 2.030141 eta: 23:23:40 batch_cost: 1.0610 data_cost: 0.0129 ips: 52.7810 images/s [03/18 07:05:03] ppdet.engine INFO: Epoch: [126] [260/523] learning_rate: 0.174583 loss_vfl: 1.011842 loss_bbox: 0.435291 loss_dfl: 0.397641 loss: 1.816706 eta: 23:23:20 batch_cost: 0.8704 data_cost: 0.0029 ips: 64.3370 images/s [03/18 07:05:27] ppdet.engine INFO: Epoch: [126] [280/523] learning_rate: 0.174528 loss_vfl: 1.094460 loss_bbox: 0.467013 loss_dfl: 0.436293 loss: 2.001204 eta: 23:23:07 batch_cost: 1.1296 data_cost: 0.0085 ips: 49.5767 images/s [03/18 07:05:50] ppdet.engine INFO: Epoch: [126] [300/523] learning_rate: 0.174474 loss_vfl: 1.013150 loss_bbox: 0.449695 loss_dfl: 0.421052 loss: 1.885883 eta: 23:22:51 batch_cost: 1.0328 data_cost: 0.0062 ips: 54.2223 images/s [03/18 07:06:07] ppdet.engine INFO: Epoch: [126] [320/523] learning_rate: 0.174419 loss_vfl: 1.058590 loss_bbox: 0.456277 loss_dfl: 0.431146 loss: 1.946538 eta: 23:22:28 batch_cost: 0.7568 data_cost: 0.0099 ips: 73.9974 images/s [03/18 07:06:26] ppdet.engine INFO: Epoch: [126] [340/523] learning_rate: 0.174365 loss_vfl: 1.055094 loss_bbox: 0.428089 loss_dfl: 0.412853 loss: 1.909081 eta: 23:22:08 batch_cost: 0.8890 data_cost: 0.0023 ips: 62.9898 images/s [03/18 07:06:48] ppdet.engine INFO: Epoch: [126] [360/523] learning_rate: 0.174310 loss_vfl: 1.015850 loss_bbox: 0.454406 loss_dfl: 0.416981 loss: 1.886485 eta: 23:21:51 batch_cost: 1.0000 data_cost: 0.0010 ips: 56.0018 images/s [03/18 07:07:09] ppdet.engine INFO: Epoch: [126] [380/523] learning_rate: 0.174256 loss_vfl: 1.100614 loss_bbox: 0.478127 loss_dfl: 0.455246 loss: 2.034076 eta: 23:21:32 batch_cost: 0.8884 data_cost: 0.0126 ips: 63.0331 images/s [03/18 07:07:30] ppdet.engine INFO: Epoch: [126] [400/523] learning_rate: 0.174201 loss_vfl: 1.075131 loss_bbox: 0.462437 loss_dfl: 0.428923 loss: 1.967341 eta: 23:21:16 batch_cost: 1.0140 data_cost: 0.0024 ips: 55.2255 images/s [03/18 07:07:53] ppdet.engine INFO: Epoch: [126] [420/523] learning_rate: 0.174147 loss_vfl: 1.063668 loss_bbox: 0.473767 loss_dfl: 0.434003 loss: 1.981717 eta: 23:20:59 batch_cost: 1.0074 data_cost: 0.0045 ips: 55.5892 images/s [03/18 07:08:16] ppdet.engine INFO: Epoch: [126] [440/523] learning_rate: 0.174092 loss_vfl: 1.098787 loss_bbox: 0.466729 loss_dfl: 0.439212 loss: 1.989455 eta: 23:20:45 batch_cost: 1.0815 data_cost: 0.0013 ips: 51.7794 images/s [03/18 07:08:38] ppdet.engine INFO: Epoch: [126] [460/523] learning_rate: 0.174038 loss_vfl: 1.101895 loss_bbox: 0.486822 loss_dfl: 0.454397 loss: 1.998841 eta: 23:20:28 batch_cost: 1.0020 data_cost: 0.0044 ips: 55.8896 images/s [03/18 07:08:59] ppdet.engine INFO: Epoch: [126] [480/523] learning_rate: 0.173984 loss_vfl: 1.053882 loss_bbox: 0.473070 loss_dfl: 0.425301 loss: 1.955255 eta: 23:20:10 batch_cost: 0.9228 data_cost: 0.0008 ips: 60.6841 images/s [03/18 07:09:22] ppdet.engine INFO: Epoch: [126] [500/523] learning_rate: 0.173929 loss_vfl: 1.102811 loss_bbox: 0.473436 loss_dfl: 0.436978 loss: 2.037094 eta: 23:19:55 batch_cost: 1.0681 data_cost: 0.0019 ips: 52.4318 images/s [03/18 07:09:40] ppdet.engine INFO: Epoch: [126] [520/523] learning_rate: 0.173875 loss_vfl: 1.135097 loss_bbox: 0.503537 loss_dfl: 0.457941 loss: 2.111248 eta: 23:19:34 batch_cost: 0.8527 data_cost: 0.0048 ips: 65.6725 images/s [03/18 07:09:53] ppdet.engine INFO: Epoch: [127] [ 0/523] learning_rate: 0.173866 loss_vfl: 1.129381 loss_bbox: 0.503537 loss_dfl: 0.450430 loss: 2.090188 eta: 23:19:44 batch_cost: 1.3430 data_cost: 0.4465 ips: 41.6989 images/s [03/18 07:10:13] ppdet.engine INFO: Epoch: [127] [ 20/523] learning_rate: 0.173812 loss_vfl: 1.112374 loss_bbox: 0.494092 loss_dfl: 0.459188 loss: 2.064763 eta: 23:19:22 batch_cost: 0.8142 data_cost: 0.0071 ips: 68.7829 images/s [03/18 07:10:33] ppdet.engine INFO: Epoch: [127] [ 40/523] learning_rate: 0.173757 loss_vfl: 1.072367 loss_bbox: 0.491715 loss_dfl: 0.452559 loss: 2.025726 eta: 23:19:03 batch_cost: 0.8883 data_cost: 0.0040 ips: 63.0419 images/s [03/18 07:10:53] ppdet.engine INFO: Epoch: [127] [ 60/523] learning_rate: 0.173703 loss_vfl: 1.050568 loss_bbox: 0.477473 loss_dfl: 0.444471 loss: 1.984345 eta: 23:18:44 batch_cost: 0.9137 data_cost: 0.0006 ips: 61.2889 images/s [03/18 07:11:11] ppdet.engine INFO: Epoch: [127] [ 80/523] learning_rate: 0.173648 loss_vfl: 1.018105 loss_bbox: 0.444162 loss_dfl: 0.413530 loss: 1.863104 eta: 23:18:21 batch_cost: 0.7735 data_cost: 0.0055 ips: 72.4009 images/s [03/18 07:11:31] ppdet.engine INFO: Epoch: [127] [100/523] learning_rate: 0.173594 loss_vfl: 1.026106 loss_bbox: 0.467068 loss_dfl: 0.431671 loss: 1.923220 eta: 23:18:01 batch_cost: 0.8806 data_cost: 0.0024 ips: 63.5923 images/s [03/18 07:11:52] ppdet.engine INFO: Epoch: [127] [120/523] learning_rate: 0.173539 loss_vfl: 1.132729 loss_bbox: 0.492601 loss_dfl: 0.458076 loss: 2.094687 eta: 23:17:43 batch_cost: 0.9438 data_cost: 0.0028 ips: 59.3359 images/s [03/18 07:12:14] ppdet.engine INFO: Epoch: [127] [140/523] learning_rate: 0.173485 loss_vfl: 1.037859 loss_bbox: 0.461136 loss_dfl: 0.427770 loss: 1.910730 eta: 23:17:26 batch_cost: 0.9834 data_cost: 0.0116 ips: 56.9430 images/s [03/18 07:12:34] ppdet.engine INFO: Epoch: [127] [160/523] learning_rate: 0.173430 loss_vfl: 1.042801 loss_bbox: 0.469799 loss_dfl: 0.425064 loss: 1.932679 eta: 23:17:07 batch_cost: 0.9206 data_cost: 0.0054 ips: 60.8327 images/s [03/18 07:12:57] ppdet.engine INFO: Epoch: [127] [180/523] learning_rate: 0.173376 loss_vfl: 1.045448 loss_bbox: 0.444227 loss_dfl: 0.424998 loss: 1.887096 eta: 23:16:50 batch_cost: 0.9887 data_cost: 0.0049 ips: 56.6384 images/s [03/18 07:13:20] ppdet.engine INFO: Epoch: [127] [200/523] learning_rate: 0.173321 loss_vfl: 1.013782 loss_bbox: 0.454612 loss_dfl: 0.410404 loss: 1.889014 eta: 23:16:34 batch_cost: 1.0335 data_cost: 0.0032 ips: 54.1844 images/s [03/18 07:13:40] ppdet.engine INFO: Epoch: [127] [220/523] learning_rate: 0.173266 loss_vfl: 1.063601 loss_bbox: 0.486567 loss_dfl: 0.436854 loss: 1.986108 eta: 23:16:14 batch_cost: 0.8700 data_cost: 0.0027 ips: 64.3657 images/s [03/18 07:14:03] ppdet.engine INFO: Epoch: [127] [240/523] learning_rate: 0.173212 loss_vfl: 1.035744 loss_bbox: 0.458054 loss_dfl: 0.417850 loss: 1.912161 eta: 23:15:59 batch_cost: 1.0435 data_cost: 0.0073 ips: 53.6679 images/s [03/18 07:14:23] ppdet.engine INFO: Epoch: [127] [260/523] learning_rate: 0.173157 loss_vfl: 1.041595 loss_bbox: 0.452497 loss_dfl: 0.436539 loss: 1.945762 eta: 23:15:40 batch_cost: 0.9083 data_cost: 0.0019 ips: 61.6559 images/s [03/18 07:14:44] ppdet.engine INFO: Epoch: [127] [280/523] learning_rate: 0.173103 loss_vfl: 1.081367 loss_bbox: 0.492384 loss_dfl: 0.452519 loss: 2.056739 eta: 23:15:22 batch_cost: 0.9605 data_cost: 0.0042 ips: 58.3051 images/s [03/18 07:15:04] ppdet.engine INFO: Epoch: [127] [300/523] learning_rate: 0.173048 loss_vfl: 1.059837 loss_bbox: 0.473835 loss_dfl: 0.429994 loss: 1.982082 eta: 23:15:03 batch_cost: 0.9227 data_cost: 0.0020 ips: 60.6924 images/s [03/18 07:15:23] ppdet.engine INFO: Epoch: [127] [320/523] learning_rate: 0.172994 loss_vfl: 1.120229 loss_bbox: 0.501124 loss_dfl: 0.457953 loss: 2.101064 eta: 23:14:42 batch_cost: 0.8189 data_cost: 0.0030 ips: 68.3870 images/s [03/18 07:15:41] ppdet.engine INFO: Epoch: [127] [340/523] learning_rate: 0.172939 loss_vfl: 1.047943 loss_bbox: 0.463640 loss_dfl: 0.431967 loss: 1.950428 eta: 23:14:18 batch_cost: 0.7277 data_cost: 0.0012 ips: 76.9498 images/s [03/18 07:16:01] ppdet.engine INFO: Epoch: [127] [360/523] learning_rate: 0.172884 loss_vfl: 1.049978 loss_bbox: 0.472144 loss_dfl: 0.433005 loss: 1.952978 eta: 23:13:57 batch_cost: 0.8411 data_cost: 0.0054 ips: 66.5822 images/s [03/18 07:16:22] ppdet.engine INFO: Epoch: [127] [380/523] learning_rate: 0.172830 loss_vfl: 0.982081 loss_bbox: 0.431944 loss_dfl: 0.398859 loss: 1.792370 eta: 23:13:39 batch_cost: 0.9558 data_cost: 0.0038 ips: 58.5867 images/s [03/18 07:16:44] ppdet.engine INFO: Epoch: [127] [400/523] learning_rate: 0.172775 loss_vfl: 1.100386 loss_bbox: 0.494874 loss_dfl: 0.459249 loss: 2.052556 eta: 23:13:22 batch_cost: 0.9711 data_cost: 0.0041 ips: 57.6662 images/s [03/18 07:17:07] ppdet.engine INFO: Epoch: [127] [420/523] learning_rate: 0.172721 loss_vfl: 1.065291 loss_bbox: 0.465759 loss_dfl: 0.441573 loss: 1.959754 eta: 23:13:07 batch_cost: 1.0626 data_cost: 0.0044 ips: 52.7019 images/s [03/18 07:17:28] ppdet.engine INFO: Epoch: [127] [440/523] learning_rate: 0.172666 loss_vfl: 1.059107 loss_bbox: 0.477563 loss_dfl: 0.435096 loss: 1.956707 eta: 23:12:49 batch_cost: 0.9497 data_cost: 0.0038 ips: 58.9689 images/s [03/18 07:17:47] ppdet.engine INFO: Epoch: [127] [460/523] learning_rate: 0.172611 loss_vfl: 1.030979 loss_bbox: 0.426702 loss_dfl: 0.394385 loss: 1.820174 eta: 23:12:27 batch_cost: 0.8231 data_cost: 0.0093 ips: 68.0323 images/s [03/18 07:18:10] ppdet.engine INFO: Epoch: [127] [480/523] learning_rate: 0.172557 loss_vfl: 0.995280 loss_bbox: 0.442586 loss_dfl: 0.408167 loss: 1.872781 eta: 23:12:12 batch_cost: 1.0287 data_cost: 0.0114 ips: 54.4366 images/s [03/18 07:18:31] ppdet.engine INFO: Epoch: [127] [500/523] learning_rate: 0.172502 loss_vfl: 1.034186 loss_bbox: 0.481629 loss_dfl: 0.437255 loss: 1.929634 eta: 23:11:53 batch_cost: 0.9238 data_cost: 0.0051 ips: 60.6207 images/s [03/18 07:18:48] ppdet.engine INFO: Epoch: [127] [520/523] learning_rate: 0.172447 loss_vfl: 1.052375 loss_bbox: 0.470829 loss_dfl: 0.433586 loss: 1.958865 eta: 23:11:31 batch_cost: 0.8125 data_cost: 0.0012 ips: 68.9261 images/s [03/18 07:18:58] ppdet.engine INFO: Epoch: [128] [ 0/523] learning_rate: 0.172439 loss_vfl: 1.066773 loss_bbox: 0.470829 loss_dfl: 0.433586 loss: 1.968478 eta: 23:11:37 batch_cost: 1.0635 data_cost: 0.3611 ips: 52.6540 images/s [03/18 07:19:24] ppdet.engine INFO: Epoch: [128] [ 20/523] learning_rate: 0.172385 loss_vfl: 1.064616 loss_bbox: 0.472154 loss_dfl: 0.457824 loss: 2.020672 eta: 23:11:24 batch_cost: 1.1386 data_cost: 0.0007 ips: 49.1823 images/s [03/18 07:19:43] ppdet.engine INFO: Epoch: [128] [ 40/523] learning_rate: 0.172330 loss_vfl: 1.051515 loss_bbox: 0.459620 loss_dfl: 0.438027 loss: 1.937744 eta: 23:11:02 batch_cost: 0.8045 data_cost: 0.0063 ips: 69.6098 images/s [03/18 07:20:03] ppdet.engine INFO: Epoch: [128] [ 60/523] learning_rate: 0.172275 loss_vfl: 1.059414 loss_bbox: 0.472195 loss_dfl: 0.437084 loss: 1.965208 eta: 23:10:42 batch_cost: 0.8716 data_cost: 0.0040 ips: 64.2476 images/s [03/18 07:20:23] ppdet.engine INFO: Epoch: [128] [ 80/523] learning_rate: 0.172221 loss_vfl: 1.025659 loss_bbox: 0.441439 loss_dfl: 0.412646 loss: 1.876304 eta: 23:10:22 batch_cost: 0.8920 data_cost: 0.0009 ips: 62.7770 images/s [03/18 07:20:42] ppdet.engine INFO: Epoch: [128] [100/523] learning_rate: 0.172166 loss_vfl: 1.009648 loss_bbox: 0.444155 loss_dfl: 0.417271 loss: 1.886584 eta: 23:10:02 batch_cost: 0.8739 data_cost: 0.0013 ips: 64.0818 images/s [03/18 07:21:02] ppdet.engine INFO: Epoch: [128] [120/523] learning_rate: 0.172111 loss_vfl: 1.046504 loss_bbox: 0.444885 loss_dfl: 0.426427 loss: 1.906606 eta: 23:09:42 batch_cost: 0.8839 data_cost: 0.0019 ips: 63.3584 images/s [03/18 07:21:24] ppdet.engine INFO: Epoch: [128] [140/523] learning_rate: 0.172057 loss_vfl: 1.057376 loss_bbox: 0.467022 loss_dfl: 0.431505 loss: 1.988446 eta: 23:09:25 batch_cost: 0.9640 data_cost: 0.0082 ips: 58.0920 images/s [03/18 07:21:44] ppdet.engine INFO: Epoch: [128] [160/523] learning_rate: 0.172002 loss_vfl: 1.034025 loss_bbox: 0.460993 loss_dfl: 0.436050 loss: 1.938514 eta: 23:09:06 batch_cost: 0.9092 data_cost: 0.0040 ips: 61.5954 images/s [03/18 07:22:08] ppdet.engine INFO: Epoch: [128] [180/523] learning_rate: 0.171947 loss_vfl: 1.047446 loss_bbox: 0.459800 loss_dfl: 0.423079 loss: 1.940790 eta: 23:08:49 batch_cost: 1.0077 data_cost: 0.0028 ips: 55.5730 images/s [03/18 07:22:29] ppdet.engine INFO: Epoch: [128] [200/523] learning_rate: 0.171893 loss_vfl: 1.104485 loss_bbox: 0.488940 loss_dfl: 0.463806 loss: 2.032730 eta: 23:08:31 batch_cost: 0.9383 data_cost: 0.0078 ips: 59.6837 images/s [03/18 07:22:50] ppdet.engine INFO: Epoch: [128] [220/523] learning_rate: 0.171838 loss_vfl: 1.078905 loss_bbox: 0.491787 loss_dfl: 0.444827 loss: 2.005368 eta: 23:08:13 batch_cost: 0.9478 data_cost: 0.0025 ips: 59.0823 images/s [03/18 07:23:12] ppdet.engine INFO: Epoch: [128] [240/523] learning_rate: 0.171783 loss_vfl: 1.091924 loss_bbox: 0.498258 loss_dfl: 0.440462 loss: 2.014051 eta: 23:07:56 batch_cost: 0.9747 data_cost: 0.0048 ips: 57.4528 images/s [03/18 07:23:32] ppdet.engine INFO: Epoch: [128] [260/523] learning_rate: 0.171728 loss_vfl: 1.071934 loss_bbox: 0.482066 loss_dfl: 0.438906 loss: 1.992941 eta: 23:07:37 batch_cost: 0.9144 data_cost: 0.0048 ips: 61.2403 images/s [03/18 07:23:53] ppdet.engine INFO: Epoch: [128] [280/523] learning_rate: 0.171674 loss_vfl: 1.016313 loss_bbox: 0.438617 loss_dfl: 0.418902 loss: 1.893221 eta: 23:07:18 batch_cost: 0.9196 data_cost: 0.0052 ips: 60.8952 images/s [03/18 07:24:14] ppdet.engine INFO: Epoch: [128] [300/523] learning_rate: 0.171619 loss_vfl: 1.064190 loss_bbox: 0.497550 loss_dfl: 0.442389 loss: 2.016959 eta: 23:06:59 batch_cost: 0.9088 data_cost: 0.0026 ips: 61.6174 images/s [03/18 07:24:34] ppdet.engine INFO: Epoch: [128] [320/523] learning_rate: 0.171564 loss_vfl: 1.080174 loss_bbox: 0.499989 loss_dfl: 0.456363 loss: 2.060725 eta: 23:06:40 batch_cost: 0.9119 data_cost: 0.0030 ips: 61.4112 images/s [03/18 07:24:54] ppdet.engine INFO: Epoch: [128] [340/523] learning_rate: 0.171510 loss_vfl: 1.060026 loss_bbox: 0.469679 loss_dfl: 0.431466 loss: 1.958267 eta: 23:06:19 batch_cost: 0.8497 data_cost: 0.0021 ips: 65.9049 images/s [03/18 07:25:13] ppdet.engine INFO: Epoch: [128] [360/523] learning_rate: 0.171455 loss_vfl: 1.054459 loss_bbox: 0.473073 loss_dfl: 0.434897 loss: 1.960265 eta: 23:05:58 batch_cost: 0.8380 data_cost: 0.0050 ips: 66.8232 images/s [03/18 07:25:31] ppdet.engine INFO: Epoch: [128] [380/523] learning_rate: 0.171400 loss_vfl: 1.051992 loss_bbox: 0.467808 loss_dfl: 0.425880 loss: 1.924096 eta: 23:05:36 batch_cost: 0.7767 data_cost: 0.0037 ips: 72.0974 images/s [03/18 07:25:52] ppdet.engine INFO: Epoch: [128] [400/523] learning_rate: 0.171345 loss_vfl: 1.048007 loss_bbox: 0.476999 loss_dfl: 0.434626 loss: 1.962930 eta: 23:05:17 batch_cost: 0.9281 data_cost: 0.0040 ips: 60.3387 images/s [03/18 07:26:12] ppdet.engine INFO: Epoch: [128] [420/523] learning_rate: 0.171291 loss_vfl: 1.081847 loss_bbox: 0.472993 loss_dfl: 0.439742 loss: 1.997682 eta: 23:04:56 batch_cost: 0.8424 data_cost: 0.0051 ips: 66.4755 images/s [03/18 07:26:33] ppdet.engine INFO: Epoch: [128] [440/523] learning_rate: 0.171236 loss_vfl: 1.054255 loss_bbox: 0.445322 loss_dfl: 0.419897 loss: 1.916948 eta: 23:04:38 batch_cost: 0.9294 data_cost: 0.0003 ips: 60.2542 images/s [03/18 07:26:55] ppdet.engine INFO: Epoch: [128] [460/523] learning_rate: 0.171181 loss_vfl: 1.019601 loss_bbox: 0.442180 loss_dfl: 0.415172 loss: 1.888602 eta: 23:04:21 batch_cost: 0.9970 data_cost: 0.0019 ips: 56.1695 images/s [03/18 07:27:17] ppdet.engine INFO: Epoch: [128] [480/523] learning_rate: 0.171126 loss_vfl: 1.048850 loss_bbox: 0.462527 loss_dfl: 0.428204 loss: 1.927823 eta: 23:04:01 batch_cost: 0.8857 data_cost: 0.0026 ips: 63.2235 images/s [03/18 07:27:35] ppdet.engine INFO: Epoch: [128] [500/523] learning_rate: 0.171072 loss_vfl: 1.054615 loss_bbox: 0.495504 loss_dfl: 0.441109 loss: 1.987551 eta: 23:03:40 batch_cost: 0.8154 data_cost: 0.0038 ips: 68.6743 images/s [03/18 07:27:54] ppdet.engine INFO: Epoch: [128] [520/523] learning_rate: 0.171017 loss_vfl: 1.081704 loss_bbox: 0.464139 loss_dfl: 0.430587 loss: 1.982020 eta: 23:03:19 batch_cost: 0.8503 data_cost: 0.0046 ips: 65.8606 images/s [03/18 07:28:07] ppdet.engine INFO: Epoch: [129] [ 0/523] learning_rate: 0.171009 loss_vfl: 1.079452 loss_bbox: 0.462742 loss_dfl: 0.426714 loss: 1.969977 eta: 23:03:27 batch_cost: 1.1992 data_cost: 0.3636 ips: 46.6962 images/s [03/18 07:28:27] ppdet.engine INFO: Epoch: [129] [ 20/523] learning_rate: 0.170954 loss_vfl: 1.115763 loss_bbox: 0.492779 loss_dfl: 0.449429 loss: 2.035970 eta: 23:03:08 batch_cost: 0.8996 data_cost: 0.0021 ips: 62.2523 images/s [03/18 07:28:46] ppdet.engine INFO: Epoch: [129] [ 40/523] learning_rate: 0.170899 loss_vfl: 1.045932 loss_bbox: 0.472070 loss_dfl: 0.424495 loss: 1.928067 eta: 23:02:47 batch_cost: 0.8530 data_cost: 0.0024 ips: 65.6474 images/s [03/18 07:29:09] ppdet.engine INFO: Epoch: [129] [ 60/523] learning_rate: 0.170844 loss_vfl: 1.128977 loss_bbox: 0.511412 loss_dfl: 0.463482 loss: 2.110610 eta: 23:02:32 batch_cost: 1.0534 data_cost: 0.3535 ips: 53.1606 images/s [03/18 07:29:31] ppdet.engine INFO: Epoch: [129] [ 80/523] learning_rate: 0.170789 loss_vfl: 1.053713 loss_bbox: 0.472481 loss_dfl: 0.447573 loss: 1.978066 eta: 23:02:13 batch_cost: 0.9149 data_cost: 0.2709 ips: 61.2090 images/s [03/18 07:29:49] ppdet.engine INFO: Epoch: [129] [100/523] learning_rate: 0.170735 loss_vfl: 1.059799 loss_bbox: 0.477943 loss_dfl: 0.442985 loss: 1.969363 eta: 23:01:51 batch_cost: 0.7773 data_cost: 0.1675 ips: 72.0438 images/s [03/18 07:30:08] ppdet.engine INFO: Epoch: [129] [120/523] learning_rate: 0.170680 loss_vfl: 1.076256 loss_bbox: 0.476302 loss_dfl: 0.439195 loss: 1.979854 eta: 23:01:31 batch_cost: 0.8672 data_cost: 0.1303 ips: 64.5769 images/s [03/18 07:30:28] ppdet.engine INFO: Epoch: [129] [140/523] learning_rate: 0.170625 loss_vfl: 1.086181 loss_bbox: 0.465617 loss_dfl: 0.441926 loss: 1.989559 eta: 23:01:10 batch_cost: 0.8556 data_cost: 0.0049 ips: 65.4547 images/s [03/18 07:30:48] ppdet.engine INFO: Epoch: [129] [160/523] learning_rate: 0.170570 loss_vfl: 1.130452 loss_bbox: 0.484528 loss_dfl: 0.459133 loss: 2.095321 eta: 23:00:50 batch_cost: 0.8641 data_cost: 0.1195 ips: 64.8056 images/s [03/18 07:31:11] ppdet.engine INFO: Epoch: [129] [180/523] learning_rate: 0.170515 loss_vfl: 1.075652 loss_bbox: 0.482446 loss_dfl: 0.451648 loss: 2.025634 eta: 23:00:32 batch_cost: 0.9665 data_cost: 0.1652 ips: 57.9387 images/s [03/18 07:31:31] ppdet.engine INFO: Epoch: [129] [200/523] learning_rate: 0.170461 loss_vfl: 1.055699 loss_bbox: 0.476049 loss_dfl: 0.425907 loss: 1.981494 eta: 23:00:14 batch_cost: 0.9315 data_cost: 0.1231 ips: 60.1165 images/s [03/18 07:31:51] ppdet.engine INFO: Epoch: [129] [220/523] learning_rate: 0.170406 loss_vfl: 1.027466 loss_bbox: 0.440841 loss_dfl: 0.411906 loss: 1.886537 eta: 22:59:53 batch_cost: 0.8527 data_cost: 0.1006 ips: 65.6734 images/s [03/18 07:32:14] ppdet.engine INFO: Epoch: [129] [240/523] learning_rate: 0.170351 loss_vfl: 1.022811 loss_bbox: 0.461134 loss_dfl: 0.434163 loss: 1.941653 eta: 22:59:37 batch_cost: 1.0330 data_cost: 0.3720 ips: 54.2102 images/s [03/18 07:32:35] ppdet.engine INFO: Epoch: [129] [260/523] learning_rate: 0.170296 loss_vfl: 1.025233 loss_bbox: 0.451174 loss_dfl: 0.422131 loss: 1.932814 eta: 22:59:19 batch_cost: 0.9208 data_cost: 0.0986 ips: 60.8153 images/s [03/18 07:32:57] ppdet.engine INFO: Epoch: [129] [280/523] learning_rate: 0.170241 loss_vfl: 1.092018 loss_bbox: 0.487201 loss_dfl: 0.445732 loss: 2.040533 eta: 22:59:00 batch_cost: 0.9331 data_cost: 0.2189 ips: 60.0118 images/s [03/18 07:33:18] ppdet.engine INFO: Epoch: [129] [300/523] learning_rate: 0.170186 loss_vfl: 1.033594 loss_bbox: 0.451587 loss_dfl: 0.409785 loss: 1.873272 eta: 22:58:42 batch_cost: 0.9378 data_cost: 0.2039 ips: 59.7135 images/s [03/18 07:33:38] ppdet.engine INFO: Epoch: [129] [320/523] learning_rate: 0.170132 loss_vfl: 1.020541 loss_bbox: 0.440136 loss_dfl: 0.403958 loss: 1.858811 eta: 22:58:24 batch_cost: 0.9372 data_cost: 0.2632 ips: 59.7503 images/s [03/18 07:33:59] ppdet.engine INFO: Epoch: [129] [340/523] learning_rate: 0.170077 loss_vfl: 1.092923 loss_bbox: 0.471956 loss_dfl: 0.458483 loss: 2.054797 eta: 22:58:06 batch_cost: 0.9595 data_cost: 0.2140 ips: 58.3651 images/s [03/18 07:34:22] ppdet.engine INFO: Epoch: [129] [360/523] learning_rate: 0.170022 loss_vfl: 1.099970 loss_bbox: 0.484018 loss_dfl: 0.455201 loss: 2.041399 eta: 22:57:50 batch_cost: 1.0114 data_cost: 0.2833 ips: 55.3695 images/s [03/18 07:34:39] ppdet.engine INFO: Epoch: [129] [380/523] learning_rate: 0.169967 loss_vfl: 1.071541 loss_bbox: 0.466224 loss_dfl: 0.439272 loss: 1.954769 eta: 22:57:27 batch_cost: 0.7858 data_cost: 0.1935 ips: 71.2658 images/s [03/18 07:34:56] ppdet.engine INFO: Epoch: [129] [400/523] learning_rate: 0.169912 loss_vfl: 1.068716 loss_bbox: 0.450659 loss_dfl: 0.431878 loss: 1.964178 eta: 22:57:03 batch_cost: 0.7305 data_cost: 0.0825 ips: 76.6552 images/s [03/18 07:35:17] ppdet.engine INFO: Epoch: [129] [420/523] learning_rate: 0.169857 loss_vfl: 1.036834 loss_bbox: 0.469201 loss_dfl: 0.428956 loss: 1.911896 eta: 22:56:44 batch_cost: 0.9056 data_cost: 0.2897 ips: 61.8378 images/s [03/18 07:35:38] ppdet.engine INFO: Epoch: [129] [440/523] learning_rate: 0.169802 loss_vfl: 1.057271 loss_bbox: 0.468664 loss_dfl: 0.424802 loss: 1.940095 eta: 22:56:26 batch_cost: 0.9372 data_cost: 0.1693 ips: 59.7550 images/s [03/18 07:35:59] ppdet.engine INFO: Epoch: [129] [460/523] learning_rate: 0.169747 loss_vfl: 1.099070 loss_bbox: 0.484838 loss_dfl: 0.443832 loss: 2.037013 eta: 22:56:07 batch_cost: 0.9141 data_cost: 0.1489 ips: 61.2629 images/s [03/18 07:36:23] ppdet.engine INFO: Epoch: [129] [480/523] learning_rate: 0.169693 loss_vfl: 1.063157 loss_bbox: 0.480390 loss_dfl: 0.437118 loss: 2.002055 eta: 22:55:54 batch_cost: 1.1248 data_cost: 0.3335 ips: 49.7874 images/s [03/18 07:36:43] ppdet.engine INFO: Epoch: [129] [500/523] learning_rate: 0.169638 loss_vfl: 1.095023 loss_bbox: 0.469196 loss_dfl: 0.446598 loss: 2.006814 eta: 22:55:32 batch_cost: 0.8063 data_cost: 0.0460 ips: 69.4536 images/s [03/18 07:36:59] ppdet.engine INFO: Epoch: [129] [520/523] learning_rate: 0.169583 loss_vfl: 1.082037 loss_bbox: 0.477401 loss_dfl: 0.431934 loss: 2.001173 eta: 22:55:06 batch_cost: 0.6400 data_cost: 0.0340 ips: 87.4952 images/s [03/18 07:37:01] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 07:37:01] ppdet.engine INFO: Eval iter: 0 [03/18 07:37:24] ppdet.engine INFO: Eval iter: 100 [03/18 07:37:34] ppdet.engine INFO: Eval iter: 200 [03/18 07:37:44] ppdet.engine INFO: Eval iter: 300 [03/18 07:37:54] ppdet.engine INFO: Eval iter: 400 [03/18 07:38:03] ppdet.engine INFO: Eval iter: 500 [03/18 07:38:13] ppdet.engine INFO: Eval iter: 600 [03/18 07:38:28] 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 07:38:28] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.62s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=84.26s). Accumulating evaluation results... DONE (t=17.15s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.230 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.350 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.243 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.074 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.228 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.391 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.242 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.388 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.414 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.141 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.452 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.671 [03/18 07:40:17] ppdet.engine INFO: Total sample number: 4952, averge FPS: 66.31867961089657 [03/18 07:40:17] ppdet.engine INFO: Best test bbox ap is 0.230. [03/18 07:40:17] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 07:40:17] ppdet.engine INFO: Epoch: [130] [ 0/523] learning_rate: 0.169574 loss_vfl: 1.091592 loss_bbox: 0.479814 loss_dfl: 0.435470 loss: 2.010592 eta: 22:55:00 batch_cost: 0.5603 data_cost: 0.0208 ips: 99.9418 images/s [03/18 07:40:35] ppdet.engine INFO: Epoch: [130] [ 20/523] learning_rate: 0.169520 loss_vfl: 1.093276 loss_bbox: 0.459096 loss_dfl: 0.440582 loss: 1.975200 eta: 22:54:37 batch_cost: 0.7242 data_cost: 0.0134 ips: 77.3302 images/s [03/18 07:40:56] ppdet.engine INFO: Epoch: [130] [ 40/523] learning_rate: 0.169465 loss_vfl: 1.073149 loss_bbox: 0.492857 loss_dfl: 0.444906 loss: 2.027959 eta: 22:54:17 batch_cost: 0.8729 data_cost: 0.0019 ips: 64.1510 images/s [03/18 07:41:16] ppdet.engine INFO: Epoch: [130] [ 60/523] learning_rate: 0.169410 loss_vfl: 1.082253 loss_bbox: 0.483345 loss_dfl: 0.449826 loss: 2.013053 eta: 22:53:57 batch_cost: 0.8962 data_cost: 0.0498 ips: 62.4875 images/s [03/18 07:41:36] ppdet.engine INFO: Epoch: [130] [ 80/523] learning_rate: 0.169355 loss_vfl: 1.105673 loss_bbox: 0.491889 loss_dfl: 0.443125 loss: 2.048848 eta: 22:53:37 batch_cost: 0.8507 data_cost: 0.1405 ips: 65.8293 images/s [03/18 07:41:56] ppdet.engine INFO: Epoch: [130] [100/523] learning_rate: 0.169300 loss_vfl: 1.052629 loss_bbox: 0.460221 loss_dfl: 0.434779 loss: 1.949282 eta: 22:53:16 batch_cost: 0.8547 data_cost: 0.1530 ips: 65.5175 images/s [03/18 07:42:18] ppdet.engine INFO: Epoch: [130] [120/523] learning_rate: 0.169245 loss_vfl: 1.008612 loss_bbox: 0.456327 loss_dfl: 0.416560 loss: 1.889373 eta: 22:52:57 batch_cost: 0.8926 data_cost: 0.0581 ips: 62.7347 images/s [03/18 07:42:40] ppdet.engine INFO: Epoch: [130] [140/523] learning_rate: 0.169190 loss_vfl: 1.053313 loss_bbox: 0.461297 loss_dfl: 0.429232 loss: 1.950071 eta: 22:52:39 batch_cost: 0.9719 data_cost: 0.1505 ips: 57.6190 images/s [03/18 07:43:01] ppdet.engine INFO: Epoch: [130] [160/523] learning_rate: 0.169135 loss_vfl: 1.113558 loss_bbox: 0.502896 loss_dfl: 0.453722 loss: 2.081599 eta: 22:52:20 batch_cost: 0.8848 data_cost: 0.0079 ips: 63.2894 images/s [03/18 07:43:20] ppdet.engine INFO: Epoch: [130] [180/523] learning_rate: 0.169080 loss_vfl: 1.091467 loss_bbox: 0.484682 loss_dfl: 0.459604 loss: 2.041543 eta: 22:51:59 batch_cost: 0.8451 data_cost: 0.0022 ips: 66.2608 images/s [03/18 07:43:39] ppdet.engine INFO: Epoch: [130] [200/523] learning_rate: 0.169025 loss_vfl: 1.052988 loss_bbox: 0.453936 loss_dfl: 0.431667 loss: 1.958522 eta: 22:51:38 batch_cost: 0.8502 data_cost: 0.0099 ips: 65.8642 images/s [03/18 07:43:59] ppdet.engine INFO: Epoch: [130] [220/523] learning_rate: 0.168970 loss_vfl: 1.032727 loss_bbox: 0.460508 loss_dfl: 0.422603 loss: 1.912587 eta: 22:51:17 batch_cost: 0.8096 data_cost: 0.0105 ips: 69.1705 images/s [03/18 07:44:17] ppdet.engine INFO: Epoch: [130] [240/523] learning_rate: 0.168915 loss_vfl: 1.136551 loss_bbox: 0.500764 loss_dfl: 0.465131 loss: 2.119704 eta: 22:50:54 batch_cost: 0.7653 data_cost: 0.0176 ips: 73.1765 images/s [03/18 07:44:38] ppdet.engine INFO: Epoch: [130] [260/523] learning_rate: 0.168860 loss_vfl: 1.070022 loss_bbox: 0.441663 loss_dfl: 0.423402 loss: 1.936927 eta: 22:50:36 batch_cost: 0.9446 data_cost: 0.0040 ips: 59.2827 images/s [03/18 07:44:59] ppdet.engine INFO: Epoch: [130] [280/523] learning_rate: 0.168805 loss_vfl: 1.105483 loss_bbox: 0.489063 loss_dfl: 0.442018 loss: 2.032436 eta: 22:50:18 batch_cost: 0.9396 data_cost: 0.0028 ips: 59.5993 images/s [03/18 07:45:19] ppdet.engine INFO: Epoch: [130] [300/523] learning_rate: 0.168750 loss_vfl: 1.098433 loss_bbox: 0.465748 loss_dfl: 0.451419 loss: 2.031605 eta: 22:49:57 batch_cost: 0.8432 data_cost: 0.0035 ips: 66.4152 images/s [03/18 07:45:40] ppdet.engine INFO: Epoch: [130] [320/523] learning_rate: 0.168695 loss_vfl: 1.058435 loss_bbox: 0.449641 loss_dfl: 0.432399 loss: 1.938711 eta: 22:49:38 batch_cost: 0.9361 data_cost: 0.0052 ips: 59.8228 images/s [03/18 07:45:59] ppdet.engine INFO: Epoch: [130] [340/523] learning_rate: 0.168640 loss_vfl: 1.057685 loss_bbox: 0.462100 loss_dfl: 0.429866 loss: 1.958802 eta: 22:49:18 batch_cost: 0.8581 data_cost: 0.0044 ips: 65.2572 images/s [03/18 07:46:21] ppdet.engine INFO: Epoch: [130] [360/523] learning_rate: 0.168585 loss_vfl: 1.045322 loss_bbox: 0.448025 loss_dfl: 0.413048 loss: 1.904117 eta: 22:49:02 batch_cost: 1.0117 data_cost: 0.0042 ips: 55.3513 images/s [03/18 07:46:39] ppdet.engine INFO: Epoch: [130] [380/523] learning_rate: 0.168530 loss_vfl: 1.015248 loss_bbox: 0.444874 loss_dfl: 0.415305 loss: 1.885209 eta: 22:48:40 batch_cost: 0.8166 data_cost: 0.0048 ips: 68.5759 images/s [03/18 07:47:02] ppdet.engine INFO: Epoch: [130] [400/523] learning_rate: 0.168475 loss_vfl: 1.070036 loss_bbox: 0.471405 loss_dfl: 0.436281 loss: 1.977617 eta: 22:48:23 batch_cost: 0.9880 data_cost: 0.0057 ips: 56.6776 images/s [03/18 07:47:20] ppdet.engine INFO: Epoch: [130] [420/523] learning_rate: 0.168420 loss_vfl: 1.066124 loss_bbox: 0.468106 loss_dfl: 0.424768 loss: 1.934380 eta: 22:48:01 batch_cost: 0.7885 data_cost: 0.0012 ips: 71.0233 images/s [03/18 07:47:42] ppdet.engine INFO: Epoch: [130] [440/523] learning_rate: 0.168365 loss_vfl: 1.092459 loss_bbox: 0.474124 loss_dfl: 0.447986 loss: 2.033754 eta: 22:47:43 batch_cost: 0.9624 data_cost: 0.0042 ips: 58.1878 images/s [03/18 07:48:03] ppdet.engine INFO: Epoch: [130] [460/523] learning_rate: 0.168310 loss_vfl: 1.068428 loss_bbox: 0.482740 loss_dfl: 0.441775 loss: 2.014194 eta: 22:47:24 batch_cost: 0.8736 data_cost: 0.0064 ips: 64.0990 images/s [03/18 07:48:24] ppdet.engine INFO: Epoch: [130] [480/523] learning_rate: 0.168255 loss_vfl: 1.096786 loss_bbox: 0.482241 loss_dfl: 0.445472 loss: 2.002354 eta: 22:47:05 batch_cost: 0.9109 data_cost: 0.0055 ips: 61.4780 images/s [03/18 07:48:43] ppdet.engine INFO: Epoch: [130] [500/523] learning_rate: 0.168200 loss_vfl: 1.107543 loss_bbox: 0.486314 loss_dfl: 0.447710 loss: 2.052969 eta: 22:46:43 batch_cost: 0.8252 data_cost: 0.0031 ips: 67.8605 images/s [03/18 07:48:58] ppdet.engine INFO: Epoch: [130] [520/523] learning_rate: 0.168145 loss_vfl: 1.073263 loss_bbox: 0.467907 loss_dfl: 0.432658 loss: 1.948784 eta: 22:46:18 batch_cost: 0.6561 data_cost: 0.0130 ips: 85.3513 images/s [03/18 07:49:10] ppdet.engine INFO: Epoch: [131] [ 0/523] learning_rate: 0.168137 loss_vfl: 1.083843 loss_bbox: 0.473645 loss_dfl: 0.439450 loss: 1.988783 eta: 22:46:25 batch_cost: 1.0710 data_cost: 0.2743 ips: 52.2865 images/s [03/18 07:49:33] ppdet.engine INFO: Epoch: [131] [ 20/523] learning_rate: 0.168082 loss_vfl: 1.026057 loss_bbox: 0.459435 loss_dfl: 0.420709 loss: 1.912448 eta: 22:46:11 batch_cost: 1.0809 data_cost: 0.0023 ips: 51.8073 images/s [03/18 07:49:55] ppdet.engine INFO: Epoch: [131] [ 40/523] learning_rate: 0.168027 loss_vfl: 1.142271 loss_bbox: 0.503053 loss_dfl: 0.469357 loss: 2.125227 eta: 22:45:55 batch_cost: 1.0226 data_cost: 0.0027 ips: 54.7635 images/s [03/18 07:50:18] ppdet.engine INFO: Epoch: [131] [ 60/523] learning_rate: 0.167972 loss_vfl: 1.062714 loss_bbox: 0.462111 loss_dfl: 0.433057 loss: 1.974381 eta: 22:45:40 batch_cost: 1.0635 data_cost: 0.0018 ips: 52.6557 images/s [03/18 07:50:43] ppdet.engine INFO: Epoch: [131] [ 80/523] learning_rate: 0.167917 loss_vfl: 1.064694 loss_bbox: 0.481511 loss_dfl: 0.440627 loss: 1.980497 eta: 22:45:27 batch_cost: 1.1529 data_cost: 0.0032 ips: 48.5735 images/s [03/18 07:51:05] ppdet.engine INFO: Epoch: [131] [100/523] learning_rate: 0.167862 loss_vfl: 1.067155 loss_bbox: 0.477096 loss_dfl: 0.448307 loss: 1.992160 eta: 22:45:10 batch_cost: 0.9995 data_cost: 0.0017 ips: 56.0299 images/s [03/18 07:51:28] ppdet.engine INFO: Epoch: [131] [120/523] learning_rate: 0.167807 loss_vfl: 1.032946 loss_bbox: 0.457002 loss_dfl: 0.423938 loss: 1.910084 eta: 22:44:54 batch_cost: 1.0052 data_cost: 0.0032 ips: 55.7121 images/s [03/18 07:51:49] ppdet.engine INFO: Epoch: [131] [140/523] learning_rate: 0.167752 loss_vfl: 1.074878 loss_bbox: 0.475318 loss_dfl: 0.443420 loss: 2.024871 eta: 22:44:36 batch_cost: 0.9776 data_cost: 0.0033 ips: 57.2829 images/s [03/18 07:52:14] ppdet.engine INFO: Epoch: [131] [160/523] learning_rate: 0.167697 loss_vfl: 1.039100 loss_bbox: 0.456607 loss_dfl: 0.429723 loss: 1.940778 eta: 22:44:23 batch_cost: 1.1147 data_cost: 0.0037 ips: 50.2398 images/s [03/18 07:52:36] ppdet.engine INFO: Epoch: [131] [180/523] learning_rate: 0.167642 loss_vfl: 1.077309 loss_bbox: 0.489491 loss_dfl: 0.450012 loss: 2.025101 eta: 22:44:06 batch_cost: 1.0151 data_cost: 0.0051 ips: 55.1645 images/s [03/18 07:52:56] ppdet.engine INFO: Epoch: [131] [200/523] learning_rate: 0.167587 loss_vfl: 1.012904 loss_bbox: 0.432504 loss_dfl: 0.417294 loss: 1.866137 eta: 22:43:47 batch_cost: 0.9153 data_cost: 0.0005 ips: 61.1818 images/s [03/18 07:53:17] ppdet.engine INFO: Epoch: [131] [220/523] learning_rate: 0.167532 loss_vfl: 1.028184 loss_bbox: 0.471888 loss_dfl: 0.428617 loss: 1.921088 eta: 22:43:28 batch_cost: 0.8958 data_cost: 0.0043 ips: 62.5137 images/s [03/18 07:53:36] ppdet.engine INFO: Epoch: [131] [240/523] learning_rate: 0.167477 loss_vfl: 1.037284 loss_bbox: 0.450752 loss_dfl: 0.429041 loss: 1.929191 eta: 22:43:09 batch_cost: 0.8911 data_cost: 0.0056 ips: 62.8417 images/s [03/18 07:53:57] ppdet.engine INFO: Epoch: [131] [260/523] learning_rate: 0.167421 loss_vfl: 1.099496 loss_bbox: 0.475913 loss_dfl: 0.441008 loss: 2.021613 eta: 22:42:50 batch_cost: 0.9449 data_cost: 0.0034 ips: 59.2680 images/s [03/18 07:54:19] ppdet.engine INFO: Epoch: [131] [280/523] learning_rate: 0.167366 loss_vfl: 1.010589 loss_bbox: 0.439518 loss_dfl: 0.409443 loss: 1.866702 eta: 22:42:33 batch_cost: 0.9671 data_cost: 0.0048 ips: 57.9056 images/s [03/18 07:54:41] ppdet.engine INFO: Epoch: [131] [300/523] learning_rate: 0.167311 loss_vfl: 1.054409 loss_bbox: 0.446612 loss_dfl: 0.423045 loss: 1.934987 eta: 22:42:17 batch_cost: 1.0313 data_cost: 0.0019 ips: 54.3007 images/s [03/18 07:55:05] ppdet.engine INFO: Epoch: [131] [320/523] learning_rate: 0.167256 loss_vfl: 1.071465 loss_bbox: 0.476198 loss_dfl: 0.442823 loss: 2.002672 eta: 22:42:03 batch_cost: 1.1065 data_cost: 0.0104 ips: 50.6082 images/s [03/18 07:55:28] ppdet.engine INFO: Epoch: [131] [340/523] learning_rate: 0.167201 loss_vfl: 1.106710 loss_bbox: 0.460081 loss_dfl: 0.427606 loss: 1.991390 eta: 22:41:48 batch_cost: 1.0564 data_cost: 0.0028 ips: 53.0121 images/s [03/18 07:55:49] ppdet.engine INFO: Epoch: [131] [360/523] learning_rate: 0.167146 loss_vfl: 1.110003 loss_bbox: 0.480691 loss_dfl: 0.441768 loss: 1.995044 eta: 22:41:31 batch_cost: 0.9949 data_cost: 0.0024 ips: 56.2857 images/s [03/18 07:56:12] ppdet.engine INFO: Epoch: [131] [380/523] learning_rate: 0.167091 loss_vfl: 1.080680 loss_bbox: 0.487475 loss_dfl: 0.445616 loss: 2.044984 eta: 22:41:16 batch_cost: 1.0683 data_cost: 0.0034 ips: 52.4177 images/s [03/18 07:56:34] ppdet.engine INFO: Epoch: [131] [400/523] learning_rate: 0.167036 loss_vfl: 0.998118 loss_bbox: 0.444378 loss_dfl: 0.411496 loss: 1.867049 eta: 22:40:59 batch_cost: 1.0083 data_cost: 0.0055 ips: 55.5387 images/s [03/18 07:56:57] ppdet.engine INFO: Epoch: [131] [420/523] learning_rate: 0.166981 loss_vfl: 1.036572 loss_bbox: 0.456787 loss_dfl: 0.431780 loss: 1.945163 eta: 22:40:44 batch_cost: 1.0649 data_cost: 0.0026 ips: 52.5856 images/s [03/18 07:57:21] ppdet.engine INFO: Epoch: [131] [440/523] learning_rate: 0.166926 loss_vfl: 1.047885 loss_bbox: 0.475262 loss_dfl: 0.433892 loss: 1.973715 eta: 22:40:29 batch_cost: 1.0730 data_cost: 0.0011 ips: 52.1925 images/s [03/18 07:57:42] ppdet.engine INFO: Epoch: [131] [460/523] learning_rate: 0.166870 loss_vfl: 1.052923 loss_bbox: 0.482552 loss_dfl: 0.438886 loss: 1.964619 eta: 22:40:11 batch_cost: 0.9475 data_cost: 0.0021 ips: 59.1052 images/s [03/18 07:57:59] ppdet.engine INFO: Epoch: [131] [480/523] learning_rate: 0.166815 loss_vfl: 1.111385 loss_bbox: 0.504856 loss_dfl: 0.459912 loss: 2.082775 eta: 22:39:49 batch_cost: 0.7703 data_cost: 0.0011 ips: 72.6977 images/s [03/18 07:58:19] ppdet.engine INFO: Epoch: [131] [500/523] learning_rate: 0.166760 loss_vfl: 1.046947 loss_bbox: 0.453472 loss_dfl: 0.424933 loss: 1.926221 eta: 22:39:30 batch_cost: 0.9297 data_cost: 0.0023 ips: 60.2337 images/s [03/18 07:58:36] ppdet.engine INFO: Epoch: [131] [520/523] learning_rate: 0.166705 loss_vfl: 1.023242 loss_bbox: 0.467240 loss_dfl: 0.423519 loss: 1.894544 eta: 22:39:08 batch_cost: 0.7647 data_cost: 0.0014 ips: 73.2345 images/s [03/18 07:58:48] ppdet.engine INFO: Epoch: [132] [ 0/523] learning_rate: 0.166697 loss_vfl: 1.046897 loss_bbox: 0.473446 loss_dfl: 0.432279 loss: 1.958453 eta: 22:39:15 batch_cost: 1.1629 data_cost: 0.2930 ips: 48.1560 images/s [03/18 07:59:12] ppdet.engine INFO: Epoch: [132] [ 20/523] learning_rate: 0.166642 loss_vfl: 1.035654 loss_bbox: 0.459237 loss_dfl: 0.423091 loss: 1.928094 eta: 22:39:01 batch_cost: 1.1164 data_cost: 0.0009 ips: 50.1591 images/s [03/18 07:59:35] ppdet.engine INFO: Epoch: [132] [ 40/523] learning_rate: 0.166586 loss_vfl: 1.045859 loss_bbox: 0.459792 loss_dfl: 0.437312 loss: 1.925269 eta: 22:38:46 batch_cost: 1.0742 data_cost: 0.0031 ips: 52.1300 images/s [03/18 07:59:56] ppdet.engine INFO: Epoch: [132] [ 60/523] learning_rate: 0.166531 loss_vfl: 1.011830 loss_bbox: 0.463325 loss_dfl: 0.423641 loss: 1.887580 eta: 22:38:27 batch_cost: 0.9206 data_cost: 0.0026 ips: 60.8292 images/s [03/18 08:00:19] ppdet.engine INFO: Epoch: [132] [ 80/523] learning_rate: 0.166476 loss_vfl: 1.078149 loss_bbox: 0.473145 loss_dfl: 0.435155 loss: 1.991179 eta: 22:38:12 batch_cost: 1.0518 data_cost: 0.0033 ips: 53.2429 images/s [03/18 08:00:42] ppdet.engine INFO: Epoch: [132] [100/523] learning_rate: 0.166421 loss_vfl: 1.089494 loss_bbox: 0.475505 loss_dfl: 0.441956 loss: 2.027238 eta: 22:37:57 batch_cost: 1.0922 data_cost: 0.0077 ips: 51.2744 images/s [03/18 08:01:05] ppdet.engine INFO: Epoch: [132] [120/523] learning_rate: 0.166366 loss_vfl: 1.073076 loss_bbox: 0.487701 loss_dfl: 0.441125 loss: 1.991808 eta: 22:37:41 batch_cost: 1.0005 data_cost: 0.0003 ips: 55.9713 images/s [03/18 08:01:28] ppdet.engine INFO: Epoch: [132] [140/523] learning_rate: 0.166311 loss_vfl: 1.079378 loss_bbox: 0.464904 loss_dfl: 0.436273 loss: 1.981943 eta: 22:37:27 batch_cost: 1.1138 data_cost: 0.0029 ips: 50.2761 images/s [03/18 08:01:49] ppdet.engine INFO: Epoch: [132] [160/523] learning_rate: 0.166255 loss_vfl: 1.037304 loss_bbox: 0.466963 loss_dfl: 0.436781 loss: 1.958282 eta: 22:37:08 batch_cost: 0.9213 data_cost: 0.0029 ips: 60.7812 images/s [03/18 08:02:10] ppdet.engine INFO: Epoch: [132] [180/523] learning_rate: 0.166200 loss_vfl: 1.032668 loss_bbox: 0.445616 loss_dfl: 0.416108 loss: 1.904003 eta: 22:36:50 batch_cost: 0.9678 data_cost: 0.0031 ips: 57.8659 images/s [03/18 08:02:29] ppdet.engine INFO: Epoch: [132] [200/523] learning_rate: 0.166145 loss_vfl: 1.033412 loss_bbox: 0.457902 loss_dfl: 0.425115 loss: 1.927221 eta: 22:36:30 batch_cost: 0.8658 data_cost: 0.0029 ips: 64.6800 images/s [03/18 08:02:48] ppdet.engine INFO: Epoch: [132] [220/523] learning_rate: 0.166090 loss_vfl: 1.073350 loss_bbox: 0.499775 loss_dfl: 0.451193 loss: 2.017639 eta: 22:36:10 batch_cost: 0.8662 data_cost: 0.0036 ips: 64.6525 images/s [03/18 08:03:11] ppdet.engine INFO: Epoch: [132] [240/523] learning_rate: 0.166035 loss_vfl: 1.061518 loss_bbox: 0.467286 loss_dfl: 0.439205 loss: 1.955775 eta: 22:35:53 batch_cost: 0.9930 data_cost: 0.0026 ips: 56.3965 images/s [03/18 08:03:31] ppdet.engine INFO: Epoch: [132] [260/523] learning_rate: 0.165980 loss_vfl: 1.056075 loss_bbox: 0.482239 loss_dfl: 0.436944 loss: 1.977274 eta: 22:35:34 batch_cost: 0.8867 data_cost: 0.0003 ips: 63.1572 images/s [03/18 08:03:54] ppdet.engine INFO: Epoch: [132] [280/523] learning_rate: 0.165924 loss_vfl: 1.051051 loss_bbox: 0.458345 loss_dfl: 0.432798 loss: 1.932540 eta: 22:35:18 batch_cost: 1.0345 data_cost: 0.0022 ips: 54.1312 images/s [03/18 08:04:18] ppdet.engine INFO: Epoch: [132] [300/523] learning_rate: 0.165869 loss_vfl: 1.061696 loss_bbox: 0.480693 loss_dfl: 0.434783 loss: 1.978193 eta: 22:35:03 batch_cost: 1.0950 data_cost: 0.0051 ips: 51.1438 images/s [03/18 08:04:39] ppdet.engine INFO: Epoch: [132] [320/523] learning_rate: 0.165814 loss_vfl: 1.109971 loss_bbox: 0.497941 loss_dfl: 0.462469 loss: 2.071825 eta: 22:34:44 batch_cost: 0.9182 data_cost: 0.0022 ips: 60.9891 images/s [03/18 08:05:02] ppdet.engine INFO: Epoch: [132] [340/523] learning_rate: 0.165759 loss_vfl: 1.083003 loss_bbox: 0.453292 loss_dfl: 0.433334 loss: 2.000692 eta: 22:34:30 batch_cost: 1.1043 data_cost: 0.0056 ips: 50.7125 images/s [03/18 08:05:23] ppdet.engine INFO: Epoch: [132] [360/523] learning_rate: 0.165703 loss_vfl: 1.042082 loss_bbox: 0.460225 loss_dfl: 0.413636 loss: 1.912214 eta: 22:34:12 batch_cost: 0.9386 data_cost: 0.0024 ips: 59.6647 images/s [03/18 08:05:46] ppdet.engine INFO: Epoch: [132] [380/523] learning_rate: 0.165648 loss_vfl: 1.134591 loss_bbox: 0.477419 loss_dfl: 0.442915 loss: 2.072958 eta: 22:33:57 batch_cost: 1.0774 data_cost: 0.0041 ips: 51.9786 images/s [03/18 08:06:07] ppdet.engine INFO: Epoch: [132] [400/523] learning_rate: 0.165593 loss_vfl: 1.052224 loss_bbox: 0.474514 loss_dfl: 0.432204 loss: 1.972436 eta: 22:33:39 batch_cost: 0.9453 data_cost: 0.0031 ips: 59.2402 images/s [03/18 08:06:31] ppdet.engine INFO: Epoch: [132] [420/523] learning_rate: 0.165538 loss_vfl: 1.071135 loss_bbox: 0.481917 loss_dfl: 0.442533 loss: 2.001478 eta: 22:33:26 batch_cost: 1.1647 data_cost: 0.0053 ips: 48.0811 images/s [03/18 08:06:49] ppdet.engine INFO: Epoch: [132] [440/523] learning_rate: 0.165483 loss_vfl: 1.057892 loss_bbox: 0.465918 loss_dfl: 0.439132 loss: 1.967645 eta: 22:33:05 batch_cost: 0.7976 data_cost: 0.0042 ips: 70.2121 images/s [03/18 08:07:08] ppdet.engine INFO: Epoch: [132] [460/523] learning_rate: 0.165427 loss_vfl: 1.035423 loss_bbox: 0.468857 loss_dfl: 0.428403 loss: 1.924088 eta: 22:32:44 batch_cost: 0.8583 data_cost: 0.0034 ips: 65.2416 images/s [03/18 08:07:27] ppdet.engine INFO: Epoch: [132] [480/523] learning_rate: 0.165372 loss_vfl: 1.032960 loss_bbox: 0.465897 loss_dfl: 0.427207 loss: 1.938214 eta: 22:32:23 batch_cost: 0.8251 data_cost: 0.0045 ips: 67.8723 images/s [03/18 08:07:48] ppdet.engine INFO: Epoch: [132] [500/523] learning_rate: 0.165317 loss_vfl: 1.067555 loss_bbox: 0.463455 loss_dfl: 0.417968 loss: 1.950077 eta: 22:32:05 batch_cost: 0.9398 data_cost: 0.0036 ips: 59.5857 images/s [03/18 08:08:06] ppdet.engine INFO: Epoch: [132] [520/523] learning_rate: 0.165262 loss_vfl: 0.995069 loss_bbox: 0.438143 loss_dfl: 0.413834 loss: 1.842153 eta: 22:31:44 batch_cost: 0.8367 data_cost: 0.0011 ips: 66.9335 images/s [03/18 08:08:22] ppdet.engine INFO: Epoch: [133] [ 0/523] learning_rate: 0.165253 loss_vfl: 0.995069 loss_bbox: 0.437411 loss_dfl: 0.413013 loss: 1.842153 eta: 22:31:56 batch_cost: 1.4280 data_cost: 0.2494 ips: 39.2159 images/s [03/18 08:08:45] ppdet.engine INFO: Epoch: [133] [ 20/523] learning_rate: 0.165198 loss_vfl: 1.087753 loss_bbox: 0.460674 loss_dfl: 0.448678 loss: 2.010314 eta: 22:31:41 batch_cost: 1.0806 data_cost: 0.0002 ips: 51.8244 images/s [03/18 08:09:03] ppdet.engine INFO: Epoch: [133] [ 40/523] learning_rate: 0.165143 loss_vfl: 1.023786 loss_bbox: 0.451564 loss_dfl: 0.418149 loss: 1.903964 eta: 22:31:21 batch_cost: 0.8593 data_cost: 0.0020 ips: 65.1699 images/s [03/18 08:09:29] ppdet.engine INFO: Epoch: [133] [ 60/523] learning_rate: 0.165088 loss_vfl: 1.065722 loss_bbox: 0.463017 loss_dfl: 0.432339 loss: 1.957675 eta: 22:31:08 batch_cost: 1.1530 data_cost: 0.0002 ips: 48.5671 images/s [03/18 08:09:52] ppdet.engine INFO: Epoch: [133] [ 80/523] learning_rate: 0.165032 loss_vfl: 1.035702 loss_bbox: 0.452093 loss_dfl: 0.424671 loss: 1.916141 eta: 22:30:53 batch_cost: 1.0735 data_cost: 0.0667 ips: 52.1660 images/s [03/18 08:10:16] ppdet.engine INFO: Epoch: [133] [100/523] learning_rate: 0.164977 loss_vfl: 1.090469 loss_bbox: 0.483138 loss_dfl: 0.440017 loss: 2.015994 eta: 22:30:38 batch_cost: 1.1001 data_cost: 0.0299 ips: 50.9065 images/s [03/18 08:10:37] ppdet.engine INFO: Epoch: [133] [120/523] learning_rate: 0.164922 loss_vfl: 1.047906 loss_bbox: 0.468791 loss_dfl: 0.430054 loss: 1.932429 eta: 22:30:21 batch_cost: 0.9629 data_cost: 0.0017 ips: 58.1593 images/s [03/18 08:10:59] ppdet.engine INFO: Epoch: [133] [140/523] learning_rate: 0.164866 loss_vfl: 1.022026 loss_bbox: 0.461316 loss_dfl: 0.418249 loss: 1.888254 eta: 22:30:04 batch_cost: 1.0098 data_cost: 0.0104 ips: 55.4542 images/s [03/18 08:11:21] ppdet.engine INFO: Epoch: [133] [160/523] learning_rate: 0.164811 loss_vfl: 1.101471 loss_bbox: 0.490942 loss_dfl: 0.446373 loss: 2.061241 eta: 22:29:48 batch_cost: 1.0477 data_cost: 0.0018 ips: 53.4483 images/s [03/18 08:11:40] ppdet.engine INFO: Epoch: [133] [180/523] learning_rate: 0.164756 loss_vfl: 1.033785 loss_bbox: 0.455184 loss_dfl: 0.422114 loss: 1.929679 eta: 22:29:28 batch_cost: 0.8351 data_cost: 0.0032 ips: 67.0544 images/s [03/18 08:12:01] ppdet.engine INFO: Epoch: [133] [200/523] learning_rate: 0.164701 loss_vfl: 1.039777 loss_bbox: 0.467460 loss_dfl: 0.422737 loss: 1.926225 eta: 22:29:09 batch_cost: 0.9398 data_cost: 0.0016 ips: 59.5898 images/s [03/18 08:12:21] ppdet.engine INFO: Epoch: [133] [220/523] learning_rate: 0.164645 loss_vfl: 1.109403 loss_bbox: 0.491802 loss_dfl: 0.449925 loss: 2.028048 eta: 22:28:50 batch_cost: 0.9111 data_cost: 0.0005 ips: 61.4616 images/s [03/18 08:12:46] ppdet.engine INFO: Epoch: [133] [240/523] learning_rate: 0.164590 loss_vfl: 1.038617 loss_bbox: 0.452500 loss_dfl: 0.425887 loss: 1.923924 eta: 22:28:36 batch_cost: 1.0951 data_cost: 0.0808 ips: 51.1360 images/s [03/18 08:13:07] ppdet.engine INFO: Epoch: [133] [260/523] learning_rate: 0.164535 loss_vfl: 1.044919 loss_bbox: 0.458199 loss_dfl: 0.432111 loss: 1.942717 eta: 22:28:18 batch_cost: 0.9621 data_cost: 0.0017 ips: 58.2044 images/s [03/18 08:13:28] ppdet.engine INFO: Epoch: [133] [280/523] learning_rate: 0.164479 loss_vfl: 1.068727 loss_bbox: 0.475090 loss_dfl: 0.434831 loss: 1.948978 eta: 22:27:59 batch_cost: 0.9249 data_cost: 0.0027 ips: 60.5445 images/s [03/18 08:13:51] ppdet.engine INFO: Epoch: [133] [300/523] learning_rate: 0.164424 loss_vfl: 1.042531 loss_bbox: 0.457100 loss_dfl: 0.428504 loss: 1.917036 eta: 22:27:43 batch_cost: 1.0083 data_cost: 0.0027 ips: 55.5416 images/s [03/18 08:14:16] ppdet.engine INFO: Epoch: [133] [320/523] learning_rate: 0.164369 loss_vfl: 1.063671 loss_bbox: 0.463731 loss_dfl: 0.430513 loss: 1.930081 eta: 22:27:30 batch_cost: 1.1633 data_cost: 0.0288 ips: 48.1387 images/s [03/18 08:14:39] ppdet.engine INFO: Epoch: [133] [340/523] learning_rate: 0.164314 loss_vfl: 1.039057 loss_bbox: 0.455839 loss_dfl: 0.432779 loss: 1.948675 eta: 22:27:15 batch_cost: 1.0816 data_cost: 0.0026 ips: 51.7755 images/s [03/18 08:15:01] ppdet.engine INFO: Epoch: [133] [360/523] learning_rate: 0.164258 loss_vfl: 1.042020 loss_bbox: 0.452533 loss_dfl: 0.417565 loss: 1.911868 eta: 22:26:58 batch_cost: 1.0004 data_cost: 0.0030 ips: 55.9791 images/s [03/18 08:15:22] ppdet.engine INFO: Epoch: [133] [380/523] learning_rate: 0.164203 loss_vfl: 1.093683 loss_bbox: 0.498852 loss_dfl: 0.452329 loss: 2.050503 eta: 22:26:40 batch_cost: 0.9501 data_cost: 0.0045 ips: 58.9441 images/s [03/18 08:15:46] ppdet.engine INFO: Epoch: [133] [400/523] learning_rate: 0.164148 loss_vfl: 1.057060 loss_bbox: 0.439523 loss_dfl: 0.416674 loss: 1.873024 eta: 22:26:25 batch_cost: 1.0675 data_cost: 0.0250 ips: 52.4573 images/s [03/18 08:16:05] ppdet.engine INFO: Epoch: [133] [420/523] learning_rate: 0.164092 loss_vfl: 1.075226 loss_bbox: 0.475171 loss_dfl: 0.426257 loss: 1.988277 eta: 22:26:04 batch_cost: 0.8149 data_cost: 0.0015 ips: 68.7219 images/s [03/18 08:16:23] ppdet.engine INFO: Epoch: [133] [440/523] learning_rate: 0.164037 loss_vfl: 1.088805 loss_bbox: 0.459517 loss_dfl: 0.446281 loss: 2.000964 eta: 22:25:43 batch_cost: 0.8356 data_cost: 0.0020 ips: 67.0159 images/s [03/18 08:16:43] ppdet.engine INFO: Epoch: [133] [460/523] learning_rate: 0.163982 loss_vfl: 1.050817 loss_bbox: 0.462880 loss_dfl: 0.427212 loss: 1.930479 eta: 22:25:22 batch_cost: 0.8477 data_cost: 0.0052 ips: 66.0620 images/s [03/18 08:17:08] ppdet.engine INFO: Epoch: [133] [480/523] learning_rate: 0.163926 loss_vfl: 1.073162 loss_bbox: 0.498217 loss_dfl: 0.444039 loss: 2.008984 eta: 22:25:08 batch_cost: 1.0900 data_cost: 0.0027 ips: 51.3738 images/s [03/18 08:17:31] ppdet.engine INFO: Epoch: [133] [500/523] learning_rate: 0.163871 loss_vfl: 1.044947 loss_bbox: 0.464639 loss_dfl: 0.426995 loss: 1.921876 eta: 22:24:52 batch_cost: 1.0430 data_cost: 0.0003 ips: 53.6919 images/s [03/18 08:17:48] ppdet.engine INFO: Epoch: [133] [520/523] learning_rate: 0.163815 loss_vfl: 1.042410 loss_bbox: 0.458694 loss_dfl: 0.410076 loss: 1.890340 eta: 22:24:29 batch_cost: 0.7686 data_cost: 0.0036 ips: 72.8580 images/s [03/18 08:18:02] ppdet.engine INFO: Epoch: [134] [ 0/523] learning_rate: 0.163807 loss_vfl: 1.045015 loss_bbox: 0.456658 loss_dfl: 0.410076 loss: 1.890340 eta: 22:24:38 batch_cost: 1.2521 data_cost: 0.5160 ips: 44.7233 images/s [03/18 08:18:25] ppdet.engine INFO: Epoch: [134] [ 20/523] learning_rate: 0.163752 loss_vfl: 1.139241 loss_bbox: 0.517977 loss_dfl: 0.463913 loss: 2.114637 eta: 22:24:23 batch_cost: 1.0403 data_cost: 0.0057 ips: 53.8328 images/s [03/18 08:18:48] ppdet.engine INFO: Epoch: [134] [ 40/523] learning_rate: 0.163696 loss_vfl: 1.046063 loss_bbox: 0.473636 loss_dfl: 0.434004 loss: 1.956141 eta: 22:24:08 batch_cost: 1.0697 data_cost: 0.1198 ips: 52.3487 images/s [03/18 08:19:13] ppdet.engine INFO: Epoch: [134] [ 60/523] learning_rate: 0.163641 loss_vfl: 1.028404 loss_bbox: 0.442920 loss_dfl: 0.416116 loss: 1.874525 eta: 22:23:55 batch_cost: 1.1619 data_cost: 0.0638 ips: 48.1980 images/s [03/18 08:19:35] ppdet.engine INFO: Epoch: [134] [ 80/523] learning_rate: 0.163586 loss_vfl: 1.042617 loss_bbox: 0.451471 loss_dfl: 0.433254 loss: 1.938303 eta: 22:23:36 batch_cost: 0.9387 data_cost: 0.1183 ips: 59.6591 images/s [03/18 08:19:58] ppdet.engine INFO: Epoch: [134] [100/523] learning_rate: 0.163530 loss_vfl: 1.102762 loss_bbox: 0.471691 loss_dfl: 0.446477 loss: 2.021201 eta: 22:23:23 batch_cost: 1.1226 data_cost: 0.1362 ips: 49.8843 images/s [03/18 08:20:19] ppdet.engine INFO: Epoch: [134] [120/523] learning_rate: 0.163475 loss_vfl: 1.024891 loss_bbox: 0.461568 loss_dfl: 0.428203 loss: 1.885522 eta: 22:23:04 batch_cost: 0.9273 data_cost: 0.0007 ips: 60.3921 images/s [03/18 08:20:38] ppdet.engine INFO: Epoch: [134] [140/523] learning_rate: 0.163420 loss_vfl: 1.097939 loss_bbox: 0.463210 loss_dfl: 0.444554 loss: 2.009172 eta: 22:22:43 batch_cost: 0.8455 data_cost: 0.0023 ips: 66.2358 images/s [03/18 08:20:59] ppdet.engine INFO: Epoch: [134] [160/523] learning_rate: 0.163364 loss_vfl: 1.153182 loss_bbox: 0.517393 loss_dfl: 0.470958 loss: 2.139502 eta: 22:22:25 batch_cost: 0.9451 data_cost: 0.0020 ips: 59.2519 images/s [03/18 08:21:24] ppdet.engine INFO: Epoch: [134] [180/523] learning_rate: 0.163309 loss_vfl: 1.021223 loss_bbox: 0.474640 loss_dfl: 0.419459 loss: 1.907743 eta: 22:22:11 batch_cost: 1.1050 data_cost: 0.0523 ips: 50.6806 images/s [03/18 08:21:44] ppdet.engine INFO: Epoch: [134] [200/523] learning_rate: 0.163253 loss_vfl: 1.012469 loss_bbox: 0.423873 loss_dfl: 0.402636 loss: 1.823715 eta: 22:21:53 batch_cost: 0.9614 data_cost: 0.0611 ips: 58.2512 images/s [03/18 08:22:08] ppdet.engine INFO: Epoch: [134] [220/523] learning_rate: 0.163198 loss_vfl: 1.048738 loss_bbox: 0.477148 loss_dfl: 0.429936 loss: 1.953173 eta: 22:21:38 batch_cost: 1.0867 data_cost: 0.0322 ips: 51.5338 images/s [03/18 08:22:32] ppdet.engine INFO: Epoch: [134] [240/523] learning_rate: 0.163143 loss_vfl: 1.092842 loss_bbox: 0.502455 loss_dfl: 0.456942 loss: 2.053428 eta: 22:21:24 batch_cost: 1.1043 data_cost: 0.0005 ips: 50.7130 images/s [03/18 08:22:55] ppdet.engine INFO: Epoch: [134] [260/523] learning_rate: 0.163087 loss_vfl: 1.025360 loss_bbox: 0.463362 loss_dfl: 0.426389 loss: 1.912282 eta: 22:21:08 batch_cost: 1.0387 data_cost: 0.0013 ips: 53.9154 images/s [03/18 08:23:17] ppdet.engine INFO: Epoch: [134] [280/523] learning_rate: 0.163032 loss_vfl: 1.054384 loss_bbox: 0.476894 loss_dfl: 0.444438 loss: 1.988991 eta: 22:20:51 batch_cost: 0.9766 data_cost: 0.0027 ips: 57.3403 images/s [03/18 08:23:39] ppdet.engine INFO: Epoch: [134] [300/523] learning_rate: 0.162976 loss_vfl: 1.043077 loss_bbox: 0.471409 loss_dfl: 0.435902 loss: 1.955106 eta: 22:20:34 batch_cost: 1.0100 data_cost: 0.0019 ips: 55.4464 images/s [03/18 08:24:00] ppdet.engine INFO: Epoch: [134] [320/523] learning_rate: 0.162921 loss_vfl: 1.120908 loss_bbox: 0.492752 loss_dfl: 0.454577 loss: 2.064402 eta: 22:20:17 batch_cost: 0.9789 data_cost: 0.0618 ips: 57.2048 images/s [03/18 08:24:22] ppdet.engine INFO: Epoch: [134] [340/523] learning_rate: 0.162866 loss_vfl: 1.089976 loss_bbox: 0.479555 loss_dfl: 0.450629 loss: 2.038939 eta: 22:19:59 batch_cost: 0.9699 data_cost: 0.0296 ips: 57.7395 images/s [03/18 08:24:47] ppdet.engine INFO: Epoch: [134] [360/523] learning_rate: 0.162810 loss_vfl: 1.076403 loss_bbox: 0.486246 loss_dfl: 0.450430 loss: 2.020134 eta: 22:19:46 batch_cost: 1.1629 data_cost: 0.5599 ips: 48.1545 images/s [03/18 08:25:06] ppdet.engine INFO: Epoch: [134] [380/523] learning_rate: 0.162755 loss_vfl: 1.115206 loss_bbox: 0.471934 loss_dfl: 0.438432 loss: 2.020011 eta: 22:19:26 batch_cost: 0.8679 data_cost: 0.0458 ips: 64.5221 images/s [03/18 08:25:25] ppdet.engine INFO: Epoch: [134] [400/523] learning_rate: 0.162699 loss_vfl: 1.096646 loss_bbox: 0.471923 loss_dfl: 0.438625 loss: 2.001764 eta: 22:19:05 batch_cost: 0.8319 data_cost: 0.0288 ips: 67.3127 images/s [03/18 08:25:45] ppdet.engine INFO: Epoch: [134] [420/523] learning_rate: 0.162644 loss_vfl: 1.029967 loss_bbox: 0.440096 loss_dfl: 0.424825 loss: 1.904878 eta: 22:18:46 batch_cost: 0.9077 data_cost: 0.1512 ips: 61.6949 images/s [03/18 08:26:10] ppdet.engine INFO: Epoch: [134] [440/523] learning_rate: 0.162589 loss_vfl: 1.114897 loss_bbox: 0.502354 loss_dfl: 0.449963 loss: 2.071184 eta: 22:18:32 batch_cost: 1.1363 data_cost: 0.2265 ips: 49.2810 images/s [03/18 08:26:32] ppdet.engine INFO: Epoch: [134] [460/523] learning_rate: 0.162533 loss_vfl: 1.041526 loss_bbox: 0.470310 loss_dfl: 0.427324 loss: 1.923469 eta: 22:18:16 batch_cost: 1.0335 data_cost: 0.2330 ips: 54.1824 images/s [03/18 08:26:55] ppdet.engine INFO: Epoch: [134] [480/523] learning_rate: 0.162478 loss_vfl: 1.015359 loss_bbox: 0.468104 loss_dfl: 0.426859 loss: 1.904546 eta: 22:18:00 batch_cost: 1.0402 data_cost: 0.2078 ips: 53.8335 images/s [03/18 08:27:19] ppdet.engine INFO: Epoch: [134] [500/523] learning_rate: 0.162422 loss_vfl: 1.003531 loss_bbox: 0.461228 loss_dfl: 0.428596 loss: 1.881300 eta: 22:17:46 batch_cost: 1.1052 data_cost: 0.3861 ips: 50.6705 images/s [03/18 08:27:36] ppdet.engine INFO: Epoch: [134] [520/523] learning_rate: 0.162367 loss_vfl: 1.094544 loss_bbox: 0.472234 loss_dfl: 0.447616 loss: 2.015373 eta: 22:17:24 batch_cost: 0.7717 data_cost: 0.1042 ips: 72.5662 images/s [03/18 08:27:51] ppdet.engine INFO: Epoch: [135] [ 0/523] learning_rate: 0.162358 loss_vfl: 1.137055 loss_bbox: 0.478934 loss_dfl: 0.467113 loss: 2.118800 eta: 22:17:33 batch_cost: 1.3241 data_cost: 0.4375 ips: 42.2933 images/s [03/18 08:28:12] ppdet.engine INFO: Epoch: [135] [ 20/523] learning_rate: 0.162303 loss_vfl: 1.070043 loss_bbox: 0.455980 loss_dfl: 0.436132 loss: 1.960911 eta: 22:17:15 batch_cost: 0.9319 data_cost: 0.0033 ips: 60.0927 images/s [03/18 08:28:34] ppdet.engine INFO: Epoch: [135] [ 40/523] learning_rate: 0.162248 loss_vfl: 1.035592 loss_bbox: 0.459690 loss_dfl: 0.429770 loss: 1.954708 eta: 22:16:58 batch_cost: 1.0150 data_cost: 0.1339 ips: 55.1737 images/s [03/18 08:28:57] ppdet.engine INFO: Epoch: [135] [ 60/523] learning_rate: 0.162192 loss_vfl: 1.034985 loss_bbox: 0.468302 loss_dfl: 0.428022 loss: 1.917935 eta: 22:16:42 batch_cost: 1.0400 data_cost: 0.0357 ips: 53.8447 images/s [03/18 08:29:20] ppdet.engine INFO: Epoch: [135] [ 80/523] learning_rate: 0.162137 loss_vfl: 1.062138 loss_bbox: 0.446445 loss_dfl: 0.425163 loss: 1.920788 eta: 22:16:25 batch_cost: 0.9702 data_cost: 0.2379 ips: 57.7214 images/s [03/18 08:29:39] ppdet.engine INFO: Epoch: [135] [100/523] learning_rate: 0.162081 loss_vfl: 1.093783 loss_bbox: 0.481530 loss_dfl: 0.442397 loss: 2.015626 eta: 22:16:05 batch_cost: 0.9006 data_cost: 0.2682 ips: 62.1784 images/s [03/18 08:29:57] ppdet.engine INFO: Epoch: [135] [120/523] learning_rate: 0.162026 loss_vfl: 1.054777 loss_bbox: 0.478317 loss_dfl: 0.443011 loss: 1.975776 eta: 22:15:45 batch_cost: 0.8525 data_cost: 0.1246 ips: 65.6920 images/s [03/18 08:30:20] ppdet.engine INFO: Epoch: [135] [140/523] learning_rate: 0.161970 loss_vfl: 1.093461 loss_bbox: 0.465452 loss_dfl: 0.436154 loss: 1.996093 eta: 22:15:29 batch_cost: 1.0378 data_cost: 0.3474 ips: 53.9600 images/s [03/18 08:30:42] ppdet.engine INFO: Epoch: [135] [160/523] learning_rate: 0.161915 loss_vfl: 1.091350 loss_bbox: 0.505709 loss_dfl: 0.461948 loss: 2.055119 eta: 22:15:12 batch_cost: 0.9874 data_cost: 0.2735 ips: 56.7147 images/s [03/18 08:31:04] ppdet.engine INFO: Epoch: [135] [180/523] learning_rate: 0.161859 loss_vfl: 1.077493 loss_bbox: 0.467690 loss_dfl: 0.431634 loss: 1.994201 eta: 22:14:54 batch_cost: 0.9782 data_cost: 0.1486 ips: 57.2492 images/s [03/18 08:31:26] ppdet.engine INFO: Epoch: [135] [200/523] learning_rate: 0.161804 loss_vfl: 1.041328 loss_bbox: 0.446732 loss_dfl: 0.420735 loss: 1.901660 eta: 22:14:38 batch_cost: 1.0076 data_cost: 0.2623 ips: 55.5771 images/s [03/18 08:31:48] ppdet.engine INFO: Epoch: [135] [220/523] learning_rate: 0.161748 loss_vfl: 1.059625 loss_bbox: 0.462988 loss_dfl: 0.433793 loss: 1.947722 eta: 22:14:21 batch_cost: 1.0023 data_cost: 0.3569 ips: 55.8734 images/s [03/18 08:32:11] ppdet.engine INFO: Epoch: [135] [240/523] learning_rate: 0.161693 loss_vfl: 1.051775 loss_bbox: 0.433681 loss_dfl: 0.414521 loss: 1.888228 eta: 22:14:05 batch_cost: 1.0565 data_cost: 0.3205 ips: 53.0028 images/s [03/18 08:32:34] ppdet.engine INFO: Epoch: [135] [260/523] learning_rate: 0.161637 loss_vfl: 1.045643 loss_bbox: 0.448187 loss_dfl: 0.435132 loss: 1.934029 eta: 22:13:50 batch_cost: 1.0621 data_cost: 0.2743 ips: 52.7245 images/s [03/18 08:32:54] ppdet.engine INFO: Epoch: [135] [280/523] learning_rate: 0.161582 loss_vfl: 1.057809 loss_bbox: 0.482116 loss_dfl: 0.429544 loss: 1.963311 eta: 22:13:30 batch_cost: 0.8645 data_cost: 0.1342 ips: 64.7788 images/s [03/18 08:33:18] ppdet.engine INFO: Epoch: [135] [300/523] learning_rate: 0.161526 loss_vfl: 1.032713 loss_bbox: 0.431627 loss_dfl: 0.406290 loss: 1.856996 eta: 22:13:14 batch_cost: 1.0568 data_cost: 0.1873 ips: 52.9880 images/s [03/18 08:33:41] ppdet.engine INFO: Epoch: [135] [320/523] learning_rate: 0.161471 loss_vfl: 1.099349 loss_bbox: 0.485922 loss_dfl: 0.448423 loss: 2.044957 eta: 22:12:59 batch_cost: 1.0603 data_cost: 0.3207 ips: 52.8147 images/s [03/18 08:34:00] ppdet.engine INFO: Epoch: [135] [340/523] learning_rate: 0.161415 loss_vfl: 1.050033 loss_bbox: 0.467118 loss_dfl: 0.428437 loss: 1.939555 eta: 22:12:39 batch_cost: 0.8710 data_cost: 0.0936 ips: 64.2943 images/s [03/18 08:34:18] ppdet.engine INFO: Epoch: [135] [360/523] learning_rate: 0.161360 loss_vfl: 1.067528 loss_bbox: 0.480800 loss_dfl: 0.441184 loss: 1.997182 eta: 22:12:17 batch_cost: 0.8039 data_cost: 0.0003 ips: 69.6595 images/s [03/18 08:34:38] ppdet.engine INFO: Epoch: [135] [380/523] learning_rate: 0.161304 loss_vfl: 1.034310 loss_bbox: 0.442222 loss_dfl: 0.421453 loss: 1.903141 eta: 22:11:58 batch_cost: 0.9216 data_cost: 0.0023 ips: 60.7653 images/s [03/18 08:35:00] ppdet.engine INFO: Epoch: [135] [400/523] learning_rate: 0.161249 loss_vfl: 1.064763 loss_bbox: 0.492550 loss_dfl: 0.451153 loss: 1.996503 eta: 22:11:41 batch_cost: 0.9851 data_cost: 0.1751 ips: 56.8482 images/s [03/18 08:35:22] ppdet.engine INFO: Epoch: [135] [420/523] learning_rate: 0.161193 loss_vfl: 1.023444 loss_bbox: 0.474095 loss_dfl: 0.435211 loss: 1.931485 eta: 22:11:25 batch_cost: 1.0421 data_cost: 0.0420 ips: 53.7372 images/s [03/18 08:35:43] ppdet.engine INFO: Epoch: [135] [440/523] learning_rate: 0.161138 loss_vfl: 1.064377 loss_bbox: 0.463819 loss_dfl: 0.422470 loss: 1.947076 eta: 22:11:06 batch_cost: 0.9219 data_cost: 0.0031 ips: 60.7447 images/s [03/18 08:36:06] ppdet.engine INFO: Epoch: [135] [460/523] learning_rate: 0.161082 loss_vfl: 1.044406 loss_bbox: 0.463107 loss_dfl: 0.430354 loss: 1.945695 eta: 22:10:49 batch_cost: 1.0114 data_cost: 0.0053 ips: 55.3714 images/s [03/18 08:36:28] ppdet.engine INFO: Epoch: [135] [480/523] learning_rate: 0.161027 loss_vfl: 1.094772 loss_bbox: 0.458738 loss_dfl: 0.444554 loss: 2.007778 eta: 22:10:33 batch_cost: 1.0267 data_cost: 0.0018 ips: 54.5415 images/s [03/18 08:36:51] ppdet.engine INFO: Epoch: [135] [500/523] learning_rate: 0.160971 loss_vfl: 1.045862 loss_bbox: 0.463140 loss_dfl: 0.426012 loss: 1.915189 eta: 22:10:16 batch_cost: 0.9748 data_cost: 0.0021 ips: 57.4481 images/s [03/18 08:37:09] ppdet.engine INFO: Epoch: [135] [520/523] learning_rate: 0.160916 loss_vfl: 1.048093 loss_bbox: 0.464356 loss_dfl: 0.441434 loss: 1.964000 eta: 22:09:54 batch_cost: 0.8208 data_cost: 0.0025 ips: 68.2264 images/s [03/18 08:37:23] ppdet.engine INFO: Epoch: [136] [ 0/523] learning_rate: 0.160907 loss_vfl: 1.048093 loss_bbox: 0.470974 loss_dfl: 0.441713 loss: 1.964000 eta: 22:10:04 batch_cost: 1.4055 data_cost: 0.5558 ips: 39.8446 images/s [03/18 08:37:44] ppdet.engine INFO: Epoch: [136] [ 20/523] learning_rate: 0.160852 loss_vfl: 1.063979 loss_bbox: 0.461298 loss_dfl: 0.438637 loss: 1.980132 eta: 22:09:42 batch_cost: 0.8062 data_cost: 0.0053 ips: 69.4658 images/s [03/18 08:38:05] ppdet.engine INFO: Epoch: [136] [ 40/523] learning_rate: 0.160796 loss_vfl: 1.039719 loss_bbox: 0.463205 loss_dfl: 0.424841 loss: 1.923289 eta: 22:09:24 batch_cost: 0.9371 data_cost: 0.0028 ips: 59.7588 images/s [03/18 08:38:27] ppdet.engine INFO: Epoch: [136] [ 60/523] learning_rate: 0.160741 loss_vfl: 1.039652 loss_bbox: 0.459335 loss_dfl: 0.429873 loss: 1.919422 eta: 22:09:04 batch_cost: 0.8925 data_cost: 0.0141 ips: 62.7418 images/s [03/18 08:38:46] ppdet.engine INFO: Epoch: [136] [ 80/523] learning_rate: 0.160685 loss_vfl: 1.065464 loss_bbox: 0.477832 loss_dfl: 0.446193 loss: 2.009870 eta: 22:08:42 batch_cost: 0.7836 data_cost: 0.0067 ips: 71.4642 images/s [03/18 08:39:03] ppdet.engine INFO: Epoch: [136] [100/523] learning_rate: 0.160629 loss_vfl: 1.106948 loss_bbox: 0.490487 loss_dfl: 0.438734 loss: 1.987945 eta: 22:08:18 batch_cost: 0.7178 data_cost: 0.0033 ips: 78.0201 images/s [03/18 08:39:22] ppdet.engine INFO: Epoch: [136] [120/523] learning_rate: 0.160574 loss_vfl: 1.020260 loss_bbox: 0.437183 loss_dfl: 0.423124 loss: 1.861390 eta: 22:07:58 batch_cost: 0.8339 data_cost: 0.0005 ips: 67.1561 images/s [03/18 08:39:41] ppdet.engine INFO: Epoch: [136] [140/523] learning_rate: 0.160518 loss_vfl: 1.077094 loss_bbox: 0.457192 loss_dfl: 0.428413 loss: 1.968262 eta: 22:07:36 batch_cost: 0.8242 data_cost: 0.0072 ips: 67.9452 images/s [03/18 08:40:04] ppdet.engine INFO: Epoch: [136] [160/523] learning_rate: 0.160463 loss_vfl: 1.054268 loss_bbox: 0.470984 loss_dfl: 0.442607 loss: 1.966575 eta: 22:07:18 batch_cost: 0.9520 data_cost: 0.0053 ips: 58.8223 images/s [03/18 08:40:24] ppdet.engine INFO: Epoch: [136] [180/523] learning_rate: 0.160407 loss_vfl: 1.076349 loss_bbox: 0.474948 loss_dfl: 0.444870 loss: 1.993099 eta: 22:06:55 batch_cost: 0.7268 data_cost: 0.0030 ips: 77.0492 images/s [03/18 08:40:47] ppdet.engine INFO: Epoch: [136] [200/523] learning_rate: 0.160352 loss_vfl: 1.054216 loss_bbox: 0.468486 loss_dfl: 0.428636 loss: 1.927312 eta: 22:06:37 batch_cost: 0.9712 data_cost: 0.0046 ips: 57.6623 images/s [03/18 08:41:08] ppdet.engine INFO: Epoch: [136] [220/523] learning_rate: 0.160296 loss_vfl: 1.071216 loss_bbox: 0.466567 loss_dfl: 0.433416 loss: 1.960749 eta: 22:06:18 batch_cost: 0.9137 data_cost: 0.0023 ips: 61.2922 images/s [03/18 08:41:27] ppdet.engine INFO: Epoch: [136] [240/523] learning_rate: 0.160240 loss_vfl: 1.013052 loss_bbox: 0.457287 loss_dfl: 0.424571 loss: 1.874141 eta: 22:05:55 batch_cost: 0.7276 data_cost: 0.0095 ips: 76.9705 images/s [03/18 08:41:51] ppdet.engine INFO: Epoch: [136] [260/523] learning_rate: 0.160185 loss_vfl: 1.074211 loss_bbox: 0.478981 loss_dfl: 0.445520 loss: 1.988932 eta: 22:05:37 batch_cost: 0.9771 data_cost: 0.0046 ips: 57.3115 images/s [03/18 08:42:11] ppdet.engine INFO: Epoch: [136] [280/523] learning_rate: 0.160129 loss_vfl: 1.102895 loss_bbox: 0.466603 loss_dfl: 0.443286 loss: 2.012629 eta: 22:05:17 batch_cost: 0.8671 data_cost: 0.0152 ips: 64.5826 images/s [03/18 08:42:33] ppdet.engine INFO: Epoch: [136] [300/523] learning_rate: 0.160074 loss_vfl: 1.074662 loss_bbox: 0.469997 loss_dfl: 0.436399 loss: 1.988962 eta: 22:04:56 batch_cost: 0.8446 data_cost: 0.0082 ips: 66.3004 images/s [03/18 08:42:53] ppdet.engine INFO: Epoch: [136] [320/523] learning_rate: 0.160018 loss_vfl: 1.043063 loss_bbox: 0.455649 loss_dfl: 0.424982 loss: 1.893321 eta: 22:04:35 batch_cost: 0.8001 data_cost: 0.0051 ips: 69.9888 images/s [03/18 08:43:16] ppdet.engine INFO: Epoch: [136] [340/523] learning_rate: 0.159962 loss_vfl: 1.059502 loss_bbox: 0.455525 loss_dfl: 0.424205 loss: 1.925068 eta: 22:04:16 batch_cost: 0.9203 data_cost: 0.0065 ips: 60.8469 images/s [03/18 08:43:35] ppdet.engine INFO: Epoch: [136] [360/523] learning_rate: 0.159907 loss_vfl: 1.088825 loss_bbox: 0.488834 loss_dfl: 0.446163 loss: 2.002851 eta: 22:03:56 batch_cost: 0.8558 data_cost: 0.0049 ips: 65.4327 images/s [03/18 08:43:53] ppdet.engine INFO: Epoch: [136] [380/523] learning_rate: 0.159851 loss_vfl: 1.079337 loss_bbox: 0.490228 loss_dfl: 0.445394 loss: 2.014471 eta: 22:03:34 batch_cost: 0.8141 data_cost: 0.0064 ips: 68.7915 images/s [03/18 08:44:11] ppdet.engine INFO: Epoch: [136] [400/523] learning_rate: 0.159796 loss_vfl: 1.098623 loss_bbox: 0.476209 loss_dfl: 0.451721 loss: 2.011138 eta: 22:03:11 batch_cost: 0.7569 data_cost: 0.0045 ips: 73.9875 images/s [03/18 08:44:32] ppdet.engine INFO: Epoch: [136] [420/523] learning_rate: 0.159740 loss_vfl: 1.098463 loss_bbox: 0.469158 loss_dfl: 0.442293 loss: 2.027429 eta: 22:02:52 batch_cost: 0.8821 data_cost: 0.0131 ips: 63.4880 images/s [03/18 08:44:53] ppdet.engine INFO: Epoch: [136] [440/523] learning_rate: 0.159684 loss_vfl: 1.102168 loss_bbox: 0.486336 loss_dfl: 0.448942 loss: 2.021251 eta: 22:02:31 batch_cost: 0.8285 data_cost: 0.0029 ips: 67.5924 images/s [03/18 08:45:14] ppdet.engine INFO: Epoch: [136] [460/523] learning_rate: 0.159629 loss_vfl: 1.050546 loss_bbox: 0.444623 loss_dfl: 0.420895 loss: 1.900124 eta: 22:02:11 batch_cost: 0.8629 data_cost: 0.0033 ips: 64.8992 images/s [03/18 08:45:34] ppdet.engine INFO: Epoch: [136] [480/523] learning_rate: 0.159573 loss_vfl: 1.038242 loss_bbox: 0.440153 loss_dfl: 0.420815 loss: 1.891163 eta: 22:01:50 batch_cost: 0.8306 data_cost: 0.0089 ips: 67.4178 images/s [03/18 08:45:56] ppdet.engine INFO: Epoch: [136] [500/523] learning_rate: 0.159518 loss_vfl: 1.022898 loss_bbox: 0.437797 loss_dfl: 0.411999 loss: 1.877681 eta: 22:01:29 batch_cost: 0.8488 data_cost: 0.0072 ips: 65.9793 images/s [03/18 08:46:13] ppdet.engine INFO: Epoch: [136] [520/523] learning_rate: 0.159462 loss_vfl: 1.073814 loss_bbox: 0.478623 loss_dfl: 0.447006 loss: 2.017871 eta: 22:01:06 batch_cost: 0.7379 data_cost: 0.0022 ips: 75.8909 images/s [03/18 08:46:24] ppdet.engine INFO: Epoch: [137] [ 0/523] learning_rate: 0.159454 loss_vfl: 1.032145 loss_bbox: 0.451458 loss_dfl: 0.429999 loss: 1.904743 eta: 22:01:11 batch_cost: 1.0221 data_cost: 0.4044 ips: 54.7915 images/s [03/18 08:46:47] ppdet.engine INFO: Epoch: [137] [ 20/523] learning_rate: 0.159398 loss_vfl: 1.066774 loss_bbox: 0.461402 loss_dfl: 0.441246 loss: 1.952514 eta: 22:00:54 batch_cost: 0.9967 data_cost: 0.0864 ips: 56.1850 images/s [03/18 08:47:08] ppdet.engine INFO: Epoch: [137] [ 40/523] learning_rate: 0.159342 loss_vfl: 1.064812 loss_bbox: 0.476676 loss_dfl: 0.446106 loss: 2.001967 eta: 22:00:34 batch_cost: 0.8873 data_cost: 0.0069 ips: 63.1124 images/s [03/18 08:47:28] ppdet.engine INFO: Epoch: [137] [ 60/523] learning_rate: 0.159287 loss_vfl: 1.056629 loss_bbox: 0.478958 loss_dfl: 0.434182 loss: 1.978765 eta: 22:00:12 batch_cost: 0.8010 data_cost: 0.0043 ips: 69.9130 images/s [03/18 08:47:51] ppdet.engine INFO: Epoch: [137] [ 80/523] learning_rate: 0.159231 loss_vfl: 1.050258 loss_bbox: 0.453348 loss_dfl: 0.425811 loss: 1.939544 eta: 21:59:55 batch_cost: 0.9657 data_cost: 0.0097 ips: 57.9886 images/s [03/18 08:48:13] ppdet.engine INFO: Epoch: [137] [100/523] learning_rate: 0.159175 loss_vfl: 1.051497 loss_bbox: 0.477598 loss_dfl: 0.442478 loss: 1.989582 eta: 21:59:37 batch_cost: 0.9884 data_cost: 0.0088 ips: 56.6564 images/s [03/18 08:48:31] ppdet.engine INFO: Epoch: [137] [120/523] learning_rate: 0.159120 loss_vfl: 1.026174 loss_bbox: 0.434131 loss_dfl: 0.414155 loss: 1.873397 eta: 21:59:16 batch_cost: 0.8070 data_cost: 0.0010 ips: 69.3891 images/s [03/18 08:48:50] ppdet.engine INFO: Epoch: [137] [140/523] learning_rate: 0.159064 loss_vfl: 0.976704 loss_bbox: 0.451846 loss_dfl: 0.401891 loss: 1.828088 eta: 21:58:56 batch_cost: 0.8567 data_cost: 0.2199 ips: 65.3650 images/s [03/18 08:49:09] ppdet.engine INFO: Epoch: [137] [160/523] learning_rate: 0.159009 loss_vfl: 1.073971 loss_bbox: 0.472141 loss_dfl: 0.434574 loss: 1.985659 eta: 21:58:35 batch_cost: 0.8258 data_cost: 0.1036 ips: 67.8129 images/s [03/18 08:49:30] ppdet.engine INFO: Epoch: [137] [180/523] learning_rate: 0.158953 loss_vfl: 1.047618 loss_bbox: 0.444885 loss_dfl: 0.415751 loss: 1.929499 eta: 21:58:15 batch_cost: 0.8919 data_cost: 0.1325 ips: 62.7894 images/s [03/18 08:49:52] ppdet.engine INFO: Epoch: [137] [200/523] learning_rate: 0.158897 loss_vfl: 1.071525 loss_bbox: 0.476827 loss_dfl: 0.438153 loss: 1.998449 eta: 21:57:58 batch_cost: 0.9892 data_cost: 0.0259 ips: 56.6089 images/s [03/18 08:50:12] ppdet.engine INFO: Epoch: [137] [220/523] learning_rate: 0.158842 loss_vfl: 1.080868 loss_bbox: 0.471139 loss_dfl: 0.431633 loss: 1.963947 eta: 21:57:37 batch_cost: 0.8269 data_cost: 0.0014 ips: 67.7250 images/s [03/18 08:50:34] ppdet.engine INFO: Epoch: [137] [240/523] learning_rate: 0.158786 loss_vfl: 1.124404 loss_bbox: 0.490887 loss_dfl: 0.461678 loss: 2.106765 eta: 21:57:16 batch_cost: 0.8301 data_cost: 0.0581 ips: 67.4617 images/s [03/18 08:50:55] ppdet.engine INFO: Epoch: [137] [260/523] learning_rate: 0.158730 loss_vfl: 1.042015 loss_bbox: 0.450064 loss_dfl: 0.430635 loss: 1.921533 eta: 21:56:57 batch_cost: 0.9142 data_cost: 0.2007 ips: 61.2537 images/s [03/18 08:51:16] ppdet.engine INFO: Epoch: [137] [280/523] learning_rate: 0.158675 loss_vfl: 1.104856 loss_bbox: 0.491467 loss_dfl: 0.450257 loss: 2.038264 eta: 21:56:38 batch_cost: 0.9290 data_cost: 0.2228 ips: 60.2796 images/s [03/18 08:51:36] ppdet.engine INFO: Epoch: [137] [300/523] learning_rate: 0.158619 loss_vfl: 1.072785 loss_bbox: 0.455770 loss_dfl: 0.421797 loss: 1.948632 eta: 21:56:18 batch_cost: 0.8624 data_cost: 0.1515 ips: 64.9360 images/s [03/18 08:51:57] ppdet.engine INFO: Epoch: [137] [320/523] learning_rate: 0.158563 loss_vfl: 1.047651 loss_bbox: 0.462192 loss_dfl: 0.422598 loss: 1.932695 eta: 21:55:59 batch_cost: 0.8942 data_cost: 0.1860 ips: 62.6273 images/s [03/18 08:52:18] ppdet.engine INFO: Epoch: [137] [340/523] learning_rate: 0.158508 loss_vfl: 1.089691 loss_bbox: 0.484451 loss_dfl: 0.447142 loss: 2.021293 eta: 21:55:39 batch_cost: 0.8622 data_cost: 0.1701 ips: 64.9472 images/s [03/18 08:52:41] ppdet.engine INFO: Epoch: [137] [360/523] learning_rate: 0.158452 loss_vfl: 1.040823 loss_bbox: 0.471047 loss_dfl: 0.428012 loss: 1.950991 eta: 21:55:22 batch_cost: 1.0126 data_cost: 0.1921 ips: 55.3043 images/s [03/18 08:53:01] ppdet.engine INFO: Epoch: [137] [380/523] learning_rate: 0.158396 loss_vfl: 1.020125 loss_bbox: 0.438254 loss_dfl: 0.416249 loss: 1.866881 eta: 21:55:03 batch_cost: 0.9159 data_cost: 0.1653 ips: 61.1401 images/s [03/18 08:53:22] ppdet.engine INFO: Epoch: [137] [400/523] learning_rate: 0.158340 loss_vfl: 1.072266 loss_bbox: 0.477320 loss_dfl: 0.436254 loss: 2.008997 eta: 21:54:44 batch_cost: 0.9014 data_cost: 0.0858 ips: 62.1252 images/s [03/18 08:53:40] ppdet.engine INFO: Epoch: [137] [420/523] learning_rate: 0.158285 loss_vfl: 1.053021 loss_bbox: 0.454820 loss_dfl: 0.428586 loss: 1.962536 eta: 21:54:21 batch_cost: 0.7702 data_cost: 0.0934 ips: 72.7091 images/s [03/18 08:53:58] ppdet.engine INFO: Epoch: [137] [440/523] learning_rate: 0.158229 loss_vfl: 1.061187 loss_bbox: 0.462575 loss_dfl: 0.420889 loss: 1.961627 eta: 21:54:00 batch_cost: 0.8259 data_cost: 0.1316 ips: 67.8042 images/s [03/18 08:54:18] ppdet.engine INFO: Epoch: [137] [460/523] learning_rate: 0.158173 loss_vfl: 1.077037 loss_bbox: 0.482653 loss_dfl: 0.443643 loss: 2.007652 eta: 21:53:39 batch_cost: 0.8028 data_cost: 0.0037 ips: 69.7601 images/s [03/18 08:54:40] ppdet.engine INFO: Epoch: [137] [480/523] learning_rate: 0.158118 loss_vfl: 1.011832 loss_bbox: 0.440945 loss_dfl: 0.410331 loss: 1.863458 eta: 21:53:21 batch_cost: 0.9786 data_cost: 0.2281 ips: 57.2245 images/s [03/18 08:55:00] ppdet.engine INFO: Epoch: [137] [500/523] learning_rate: 0.158062 loss_vfl: 1.061330 loss_bbox: 0.476815 loss_dfl: 0.432257 loss: 1.963579 eta: 21:53:01 batch_cost: 0.8385 data_cost: 0.0735 ips: 66.7856 images/s [03/18 08:55:18] ppdet.engine INFO: Epoch: [137] [520/523] learning_rate: 0.158006 loss_vfl: 1.055083 loss_bbox: 0.448230 loss_dfl: 0.420477 loss: 1.916626 eta: 21:52:39 batch_cost: 0.8047 data_cost: 0.1242 ips: 69.5947 images/s [03/18 08:55:32] ppdet.engine INFO: Epoch: [138] [ 0/523] learning_rate: 0.157998 loss_vfl: 1.055083 loss_bbox: 0.456783 loss_dfl: 0.438717 loss: 1.961090 eta: 21:52:47 batch_cost: 1.1930 data_cost: 0.5325 ips: 46.9390 images/s [03/18 08:55:51] ppdet.engine INFO: Epoch: [138] [ 20/523] learning_rate: 0.157942 loss_vfl: 1.055177 loss_bbox: 0.469477 loss_dfl: 0.434437 loss: 1.949960 eta: 21:52:26 batch_cost: 0.8087 data_cost: 0.0040 ips: 69.2437 images/s [03/18 08:56:13] ppdet.engine INFO: Epoch: [138] [ 40/523] learning_rate: 0.157887 loss_vfl: 1.083293 loss_bbox: 0.499273 loss_dfl: 0.465885 loss: 2.074795 eta: 21:52:08 batch_cost: 0.9546 data_cost: 0.0086 ips: 58.6614 images/s [03/18 08:56:35] ppdet.engine INFO: Epoch: [138] [ 60/523] learning_rate: 0.157831 loss_vfl: 1.012902 loss_bbox: 0.462630 loss_dfl: 0.415921 loss: 1.900952 eta: 21:51:49 batch_cost: 0.9052 data_cost: 0.0069 ips: 61.8676 images/s [03/18 08:56:55] ppdet.engine INFO: Epoch: [138] [ 80/523] learning_rate: 0.157775 loss_vfl: 1.024080 loss_bbox: 0.434453 loss_dfl: 0.408905 loss: 1.872913 eta: 21:51:29 batch_cost: 0.8873 data_cost: 0.0054 ips: 63.1104 images/s [03/18 08:57:15] ppdet.engine INFO: Epoch: [138] [100/523] learning_rate: 0.157719 loss_vfl: 1.049899 loss_bbox: 0.430928 loss_dfl: 0.421630 loss: 1.918471 eta: 21:51:10 batch_cost: 0.9213 data_cost: 0.0032 ips: 60.7805 images/s [03/18 08:57:37] ppdet.engine INFO: Epoch: [138] [120/523] learning_rate: 0.157664 loss_vfl: 1.069148 loss_bbox: 0.468153 loss_dfl: 0.441768 loss: 1.999616 eta: 21:50:53 batch_cost: 0.9681 data_cost: 0.0638 ips: 57.8469 images/s [03/18 08:57:58] ppdet.engine INFO: Epoch: [138] [140/523] learning_rate: 0.157608 loss_vfl: 1.044723 loss_bbox: 0.470297 loss_dfl: 0.427975 loss: 1.932744 eta: 21:50:32 batch_cost: 0.8587 data_cost: 0.0030 ips: 65.2177 images/s [03/18 08:58:20] ppdet.engine INFO: Epoch: [138] [160/523] learning_rate: 0.157552 loss_vfl: 1.081396 loss_bbox: 0.475735 loss_dfl: 0.435540 loss: 1.992514 eta: 21:50:14 batch_cost: 0.9484 data_cost: 0.0032 ips: 59.0470 images/s [03/18 08:58:35] ppdet.engine INFO: Epoch: [138] [180/523] learning_rate: 0.157496 loss_vfl: 1.080296 loss_bbox: 0.472534 loss_dfl: 0.427203 loss: 1.969155 eta: 21:49:49 batch_cost: 0.6340 data_cost: 0.0239 ips: 88.3263 images/s [03/18 08:58:53] ppdet.engine INFO: Epoch: [138] [200/523] learning_rate: 0.157441 loss_vfl: 1.064592 loss_bbox: 0.454865 loss_dfl: 0.429520 loss: 1.950105 eta: 21:49:26 batch_cost: 0.7417 data_cost: 0.1109 ips: 75.5071 images/s [03/18 08:59:14] ppdet.engine INFO: Epoch: [138] [220/523] learning_rate: 0.157385 loss_vfl: 1.069432 loss_bbox: 0.466728 loss_dfl: 0.427776 loss: 1.959549 eta: 21:49:07 batch_cost: 0.9251 data_cost: 0.0925 ips: 60.5326 images/s [03/18 08:59:35] ppdet.engine INFO: Epoch: [138] [240/523] learning_rate: 0.157329 loss_vfl: 1.083097 loss_bbox: 0.482395 loss_dfl: 0.448948 loss: 2.011499 eta: 21:48:48 batch_cost: 0.8934 data_cost: 0.0037 ips: 62.6809 images/s [03/18 08:59:54] ppdet.engine INFO: Epoch: [138] [260/523] learning_rate: 0.157274 loss_vfl: 1.100017 loss_bbox: 0.465706 loss_dfl: 0.440588 loss: 2.021626 eta: 21:48:26 batch_cost: 0.8142 data_cost: 0.0053 ips: 68.7765 images/s [03/18 09:00:18] ppdet.engine INFO: Epoch: [138] [280/523] learning_rate: 0.157218 loss_vfl: 1.135401 loss_bbox: 0.500120 loss_dfl: 0.463124 loss: 2.075644 eta: 21:48:11 batch_cost: 1.0661 data_cost: 0.0050 ips: 52.5269 images/s [03/18 09:00:38] ppdet.engine INFO: Epoch: [138] [300/523] learning_rate: 0.157162 loss_vfl: 1.045721 loss_bbox: 0.452051 loss_dfl: 0.421833 loss: 1.930449 eta: 21:47:52 batch_cost: 0.8979 data_cost: 0.0142 ips: 62.3669 images/s [03/18 09:00:59] ppdet.engine INFO: Epoch: [138] [320/523] learning_rate: 0.157106 loss_vfl: 1.021288 loss_bbox: 0.473089 loss_dfl: 0.447930 loss: 1.938771 eta: 21:47:33 batch_cost: 0.9365 data_cost: 0.0061 ips: 59.7995 images/s [03/18 09:01:19] ppdet.engine INFO: Epoch: [138] [340/523] learning_rate: 0.157051 loss_vfl: 1.087188 loss_bbox: 0.486225 loss_dfl: 0.441069 loss: 2.027217 eta: 21:47:12 batch_cost: 0.8218 data_cost: 0.0056 ips: 68.1403 images/s [03/18 09:01:38] ppdet.engine INFO: Epoch: [138] [360/523] learning_rate: 0.156995 loss_vfl: 1.101866 loss_bbox: 0.495162 loss_dfl: 0.454146 loss: 2.058273 eta: 21:46:51 batch_cost: 0.8219 data_cost: 0.0028 ips: 68.1357 images/s [03/18 09:02:02] ppdet.engine INFO: Epoch: [138] [380/523] learning_rate: 0.156939 loss_vfl: 1.079745 loss_bbox: 0.463321 loss_dfl: 0.426702 loss: 1.934088 eta: 21:46:35 batch_cost: 1.0468 data_cost: 0.0067 ips: 53.4960 images/s [03/18 09:02:23] ppdet.engine INFO: Epoch: [138] [400/523] learning_rate: 0.156883 loss_vfl: 1.059897 loss_bbox: 0.450898 loss_dfl: 0.428648 loss: 1.924712 eta: 21:46:16 batch_cost: 0.8978 data_cost: 0.0129 ips: 62.3722 images/s [03/18 09:02:43] ppdet.engine INFO: Epoch: [138] [420/523] learning_rate: 0.156828 loss_vfl: 1.023239 loss_bbox: 0.456630 loss_dfl: 0.422480 loss: 1.872503 eta: 21:45:56 batch_cost: 0.8647 data_cost: 0.0046 ips: 64.7604 images/s [03/18 09:03:03] ppdet.engine INFO: Epoch: [138] [440/523] learning_rate: 0.156772 loss_vfl: 1.046771 loss_bbox: 0.463562 loss_dfl: 0.426177 loss: 1.946055 eta: 21:45:35 batch_cost: 0.8187 data_cost: 0.0021 ips: 68.3980 images/s [03/18 09:03:24] ppdet.engine INFO: Epoch: [138] [460/523] learning_rate: 0.156716 loss_vfl: 1.044751 loss_bbox: 0.478003 loss_dfl: 0.436108 loss: 1.968547 eta: 21:45:15 batch_cost: 0.8894 data_cost: 0.1114 ips: 62.9656 images/s [03/18 09:03:41] ppdet.engine INFO: Epoch: [138] [480/523] learning_rate: 0.156660 loss_vfl: 1.039933 loss_bbox: 0.460460 loss_dfl: 0.424514 loss: 1.934087 eta: 21:44:51 batch_cost: 0.7040 data_cost: 0.0327 ips: 79.5418 images/s [03/18 09:04:00] ppdet.engine INFO: Epoch: [138] [500/523] learning_rate: 0.156604 loss_vfl: 1.041873 loss_bbox: 0.457270 loss_dfl: 0.430816 loss: 1.964561 eta: 21:44:30 batch_cost: 0.8058 data_cost: 0.0040 ips: 69.4928 images/s [03/18 09:04:16] ppdet.engine INFO: Epoch: [138] [520/523] learning_rate: 0.156549 loss_vfl: 1.053446 loss_bbox: 0.468180 loss_dfl: 0.432922 loss: 1.962604 eta: 21:44:06 batch_cost: 0.6912 data_cost: 0.0029 ips: 81.0217 images/s [03/18 09:04:30] ppdet.engine INFO: Epoch: [139] [ 0/523] learning_rate: 0.156540 loss_vfl: 1.053446 loss_bbox: 0.475049 loss_dfl: 0.444067 loss: 1.968098 eta: 21:44:14 batch_cost: 1.1731 data_cost: 0.4962 ips: 47.7362 images/s [03/18 09:04:53] ppdet.engine INFO: Epoch: [139] [ 20/523] learning_rate: 0.156485 loss_vfl: 1.075778 loss_bbox: 0.477349 loss_dfl: 0.442539 loss: 1.980613 eta: 21:43:56 batch_cost: 0.9528 data_cost: 0.0038 ips: 58.7771 images/s [03/18 09:05:14] ppdet.engine INFO: Epoch: [139] [ 40/523] learning_rate: 0.156429 loss_vfl: 0.999192 loss_bbox: 0.456586 loss_dfl: 0.423354 loss: 1.894233 eta: 21:43:38 batch_cost: 0.9568 data_cost: 0.0030 ips: 58.5259 images/s [03/18 09:05:34] ppdet.engine INFO: Epoch: [139] [ 60/523] learning_rate: 0.156373 loss_vfl: 1.067099 loss_bbox: 0.485418 loss_dfl: 0.452924 loss: 2.023845 eta: 21:43:16 batch_cost: 0.7909 data_cost: 0.0156 ips: 70.8031 images/s [03/18 09:05:57] ppdet.engine INFO: Epoch: [139] [ 80/523] learning_rate: 0.156317 loss_vfl: 1.038335 loss_bbox: 0.458785 loss_dfl: 0.428597 loss: 1.945420 eta: 21:42:59 batch_cost: 0.9606 data_cost: 0.0061 ips: 58.2945 images/s [03/18 09:06:19] ppdet.engine INFO: Epoch: [139] [100/523] learning_rate: 0.156261 loss_vfl: 1.059651 loss_bbox: 0.458002 loss_dfl: 0.427933 loss: 1.954999 eta: 21:42:41 batch_cost: 0.9523 data_cost: 0.2338 ips: 58.8070 images/s [03/18 09:06:41] ppdet.engine INFO: Epoch: [139] [120/523] learning_rate: 0.156206 loss_vfl: 1.078624 loss_bbox: 0.478278 loss_dfl: 0.439652 loss: 1.974701 eta: 21:42:22 batch_cost: 0.9523 data_cost: 0.0441 ips: 58.8033 images/s [03/18 09:07:01] ppdet.engine INFO: Epoch: [139] [140/523] learning_rate: 0.156150 loss_vfl: 1.069933 loss_bbox: 0.489619 loss_dfl: 0.451131 loss: 2.006536 eta: 21:42:00 batch_cost: 0.7658 data_cost: 0.0103 ips: 73.1236 images/s [03/18 09:07:23] ppdet.engine INFO: Epoch: [139] [160/523] learning_rate: 0.156094 loss_vfl: 1.061452 loss_bbox: 0.464990 loss_dfl: 0.434628 loss: 1.965714 eta: 21:41:41 batch_cost: 0.9043 data_cost: 0.0996 ips: 61.9283 images/s [03/18 09:07:44] ppdet.engine INFO: Epoch: [139] [180/523] learning_rate: 0.156038 loss_vfl: 1.081393 loss_bbox: 0.494786 loss_dfl: 0.448987 loss: 2.029317 eta: 21:41:21 batch_cost: 0.8583 data_cost: 0.0010 ips: 65.2457 images/s [03/18 09:08:06] ppdet.engine INFO: Epoch: [139] [200/523] learning_rate: 0.155982 loss_vfl: 1.070791 loss_bbox: 0.481489 loss_dfl: 0.429985 loss: 2.006455 eta: 21:41:01 batch_cost: 0.8639 data_cost: 0.0040 ips: 64.8235 images/s [03/18 09:08:22] ppdet.engine INFO: Epoch: [139] [220/523] learning_rate: 0.155927 loss_vfl: 1.091214 loss_bbox: 0.477717 loss_dfl: 0.439876 loss: 2.024145 eta: 21:40:37 batch_cost: 0.7169 data_cost: 0.0019 ips: 78.1135 images/s [03/18 09:08:41] ppdet.engine INFO: Epoch: [139] [240/523] learning_rate: 0.155871 loss_vfl: 1.008239 loss_bbox: 0.446698 loss_dfl: 0.416698 loss: 1.863573 eta: 21:40:16 batch_cost: 0.8148 data_cost: 0.0141 ips: 68.7324 images/s [03/18 09:09:01] ppdet.engine INFO: Epoch: [139] [260/523] learning_rate: 0.155815 loss_vfl: 1.128086 loss_bbox: 0.489755 loss_dfl: 0.458541 loss: 2.063444 eta: 21:39:55 batch_cost: 0.8398 data_cost: 0.0064 ips: 66.6807 images/s [03/18 09:09:22] ppdet.engine INFO: Epoch: [139] [280/523] learning_rate: 0.155759 loss_vfl: 1.047462 loss_bbox: 0.470573 loss_dfl: 0.430093 loss: 1.934232 eta: 21:39:34 batch_cost: 0.8222 data_cost: 0.0014 ips: 68.1071 images/s [03/18 09:09:42] ppdet.engine INFO: Epoch: [139] [300/523] learning_rate: 0.155703 loss_vfl: 1.055368 loss_bbox: 0.482263 loss_dfl: 0.436461 loss: 1.959753 eta: 21:39:13 batch_cost: 0.8351 data_cost: 0.0162 ips: 67.0601 images/s [03/18 09:10:05] ppdet.engine INFO: Epoch: [139] [320/523] learning_rate: 0.155648 loss_vfl: 1.085821 loss_bbox: 0.480030 loss_dfl: 0.435775 loss: 2.008218 eta: 21:38:54 batch_cost: 0.8995 data_cost: 0.2681 ips: 62.2588 images/s [03/18 09:10:24] ppdet.engine INFO: Epoch: [139] [340/523] learning_rate: 0.155592 loss_vfl: 1.047095 loss_bbox: 0.469569 loss_dfl: 0.425851 loss: 1.923499 eta: 21:38:33 batch_cost: 0.7946 data_cost: 0.0017 ips: 70.4714 images/s [03/18 09:10:46] ppdet.engine INFO: Epoch: [139] [360/523] learning_rate: 0.155536 loss_vfl: 1.056573 loss_bbox: 0.472216 loss_dfl: 0.435699 loss: 2.000293 eta: 21:38:12 batch_cost: 0.8396 data_cost: 0.0092 ips: 66.6949 images/s [03/18 09:11:06] ppdet.engine INFO: Epoch: [139] [380/523] learning_rate: 0.155480 loss_vfl: 1.041682 loss_bbox: 0.456343 loss_dfl: 0.431462 loss: 1.943471 eta: 21:37:50 batch_cost: 0.8042 data_cost: 0.0020 ips: 69.6371 images/s [03/18 09:11:29] ppdet.engine INFO: Epoch: [139] [400/523] learning_rate: 0.155424 loss_vfl: 1.085428 loss_bbox: 0.488602 loss_dfl: 0.446123 loss: 2.029035 eta: 21:37:33 batch_cost: 0.9737 data_cost: 0.1022 ips: 57.5125 images/s [03/18 09:11:50] ppdet.engine INFO: Epoch: [139] [420/523] learning_rate: 0.155368 loss_vfl: 1.060720 loss_bbox: 0.463592 loss_dfl: 0.429226 loss: 1.966711 eta: 21:37:12 batch_cost: 0.8143 data_cost: 0.0058 ips: 68.7710 images/s [03/18 09:12:10] ppdet.engine INFO: Epoch: [139] [440/523] learning_rate: 0.155313 loss_vfl: 1.085575 loss_bbox: 0.469105 loss_dfl: 0.439941 loss: 1.992774 eta: 21:36:51 batch_cost: 0.8214 data_cost: 0.0038 ips: 68.1770 images/s [03/18 09:12:31] ppdet.engine INFO: Epoch: [139] [460/523] learning_rate: 0.155257 loss_vfl: 1.075392 loss_bbox: 0.482171 loss_dfl: 0.441428 loss: 2.020574 eta: 21:36:30 batch_cost: 0.8479 data_cost: 0.0042 ips: 66.0469 images/s [03/18 09:12:51] ppdet.engine INFO: Epoch: [139] [480/523] learning_rate: 0.155201 loss_vfl: 1.053340 loss_bbox: 0.463548 loss_dfl: 0.433450 loss: 1.959250 eta: 21:36:10 batch_cost: 0.8735 data_cost: 0.1047 ips: 64.1079 images/s [03/18 09:13:11] ppdet.engine INFO: Epoch: [139] [500/523] learning_rate: 0.155145 loss_vfl: 1.019218 loss_bbox: 0.435799 loss_dfl: 0.416562 loss: 1.880857 eta: 21:35:50 batch_cost: 0.8414 data_cost: 0.1317 ips: 66.5557 images/s [03/18 09:13:27] ppdet.engine INFO: Epoch: [139] [520/523] learning_rate: 0.155089 loss_vfl: 1.010085 loss_bbox: 0.445875 loss_dfl: 0.411869 loss: 1.870446 eta: 21:35:24 batch_cost: 0.6000 data_cost: 0.0246 ips: 93.3346 images/s [03/18 09:13:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 09:13:29] ppdet.engine INFO: Eval iter: 0 [03/18 09:13:48] ppdet.engine INFO: Eval iter: 100 [03/18 09:13:58] ppdet.engine INFO: Eval iter: 200 [03/18 09:14:08] ppdet.engine INFO: Eval iter: 300 [03/18 09:14:18] ppdet.engine INFO: Eval iter: 400 [03/18 09:14:28] ppdet.engine INFO: Eval iter: 500 [03/18 09:14:38] ppdet.engine INFO: Eval iter: 600 [03/18 09:14:53] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.98s) creating index... index created! [03/18 09:14:54] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.81s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=83.28s). Accumulating evaluation results... DONE (t=16.82s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.231 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.351 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.244 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.074 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.232 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.392 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.242 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.391 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.417 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.142 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.458 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.671 [03/18 09:16:41] ppdet.engine INFO: Total sample number: 4952, averge FPS: 68.48507275401256 [03/18 09:16:41] ppdet.engine INFO: Best test bbox ap is 0.231. [03/18 09:16:41] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 09:16:41] ppdet.engine INFO: Epoch: [140] [ 0/523] learning_rate: 0.155081 loss_vfl: 1.020251 loss_bbox: 0.435217 loss_dfl: 0.414041 loss: 1.869509 eta: 21:35:19 batch_cost: 0.5232 data_cost: 0.0233 ips: 107.0417 images/s [03/18 09:16:59] ppdet.engine INFO: Epoch: [140] [ 20/523] learning_rate: 0.155025 loss_vfl: 1.073159 loss_bbox: 0.463187 loss_dfl: 0.431226 loss: 1.985136 eta: 21:34:57 batch_cost: 0.8038 data_cost: 0.0808 ips: 69.6724 images/s [03/18 09:17:22] ppdet.engine INFO: Epoch: [140] [ 40/523] learning_rate: 0.154969 loss_vfl: 0.976895 loss_bbox: 0.433382 loss_dfl: 0.400881 loss: 1.809689 eta: 21:34:41 batch_cost: 1.0139 data_cost: 0.0005 ips: 55.2320 images/s [03/18 09:17:39] ppdet.engine INFO: Epoch: [140] [ 60/523] learning_rate: 0.154913 loss_vfl: 0.985327 loss_bbox: 0.446707 loss_dfl: 0.415021 loss: 1.849104 eta: 21:34:18 batch_cost: 0.7629 data_cost: 0.1524 ips: 73.4025 images/s [03/18 09:17:59] ppdet.engine INFO: Epoch: [140] [ 80/523] learning_rate: 0.154857 loss_vfl: 1.092095 loss_bbox: 0.482584 loss_dfl: 0.440380 loss: 2.029155 eta: 21:33:59 batch_cost: 0.9061 data_cost: 0.2424 ips: 61.8056 images/s [03/18 09:18:22] ppdet.engine INFO: Epoch: [140] [100/523] learning_rate: 0.154802 loss_vfl: 1.041238 loss_bbox: 0.467564 loss_dfl: 0.432655 loss: 1.960215 eta: 21:33:42 batch_cost: 1.0124 data_cost: 0.0383 ips: 55.3132 images/s [03/18 09:18:44] ppdet.engine INFO: Epoch: [140] [120/523] learning_rate: 0.154746 loss_vfl: 1.040939 loss_bbox: 0.451631 loss_dfl: 0.432600 loss: 1.941671 eta: 21:33:25 batch_cost: 0.9987 data_cost: 0.0095 ips: 56.0731 images/s [03/18 09:19:06] ppdet.engine INFO: Epoch: [140] [140/523] learning_rate: 0.154690 loss_vfl: 1.038310 loss_bbox: 0.489529 loss_dfl: 0.437622 loss: 1.956998 eta: 21:33:08 batch_cost: 0.9575 data_cost: 0.0028 ips: 58.4851 images/s [03/18 09:19:27] ppdet.engine INFO: Epoch: [140] [160/523] learning_rate: 0.154634 loss_vfl: 1.066999 loss_bbox: 0.482893 loss_dfl: 0.455722 loss: 2.031592 eta: 21:32:49 batch_cost: 0.9339 data_cost: 0.0026 ips: 59.9631 images/s [03/18 09:19:50] ppdet.engine INFO: Epoch: [140] [180/523] learning_rate: 0.154578 loss_vfl: 1.040458 loss_bbox: 0.450729 loss_dfl: 0.423989 loss: 1.903965 eta: 21:32:33 batch_cost: 1.0467 data_cost: 0.0749 ips: 53.5036 images/s [03/18 09:20:12] ppdet.engine INFO: Epoch: [140] [200/523] learning_rate: 0.154522 loss_vfl: 1.060408 loss_bbox: 0.478953 loss_dfl: 0.434276 loss: 1.967689 eta: 21:32:16 batch_cost: 0.9992 data_cost: 0.0720 ips: 56.0465 images/s [03/18 09:20:35] ppdet.engine INFO: Epoch: [140] [220/523] learning_rate: 0.154466 loss_vfl: 1.058645 loss_bbox: 0.476458 loss_dfl: 0.444270 loss: 1.972885 eta: 21:32:01 batch_cost: 1.0546 data_cost: 0.1624 ips: 53.1011 images/s [03/18 09:20:59] ppdet.engine INFO: Epoch: [140] [240/523] learning_rate: 0.154411 loss_vfl: 1.051476 loss_bbox: 0.469676 loss_dfl: 0.432844 loss: 1.947386 eta: 21:31:45 batch_cost: 1.0824 data_cost: 0.3291 ips: 51.7370 images/s [03/18 09:21:21] ppdet.engine INFO: Epoch: [140] [260/523] learning_rate: 0.154355 loss_vfl: 1.024001 loss_bbox: 0.447639 loss_dfl: 0.413126 loss: 1.842553 eta: 21:31:30 batch_cost: 1.0476 data_cost: 0.3096 ips: 53.4535 images/s [03/18 09:21:42] ppdet.engine INFO: Epoch: [140] [280/523] learning_rate: 0.154299 loss_vfl: 1.054901 loss_bbox: 0.453333 loss_dfl: 0.428361 loss: 1.942320 eta: 21:31:12 batch_cost: 0.9752 data_cost: 0.1721 ips: 57.4224 images/s [03/18 09:22:02] ppdet.engine INFO: Epoch: [140] [300/523] learning_rate: 0.154243 loss_vfl: 1.066494 loss_bbox: 0.464754 loss_dfl: 0.426149 loss: 1.962988 eta: 21:30:51 batch_cost: 0.8255 data_cost: 0.1171 ips: 67.8416 images/s [03/18 09:22:20] ppdet.engine INFO: Epoch: [140] [320/523] learning_rate: 0.154187 loss_vfl: 1.047355 loss_bbox: 0.440168 loss_dfl: 0.421709 loss: 1.892634 eta: 21:30:29 batch_cost: 0.7719 data_cost: 0.1312 ips: 72.5451 images/s [03/18 09:22:38] ppdet.engine INFO: Epoch: [140] [340/523] learning_rate: 0.154131 loss_vfl: 1.129240 loss_bbox: 0.477813 loss_dfl: 0.448230 loss: 2.038062 eta: 21:30:08 batch_cost: 0.8307 data_cost: 0.1032 ips: 67.4104 images/s [03/18 09:23:01] ppdet.engine INFO: Epoch: [140] [360/523] learning_rate: 0.154075 loss_vfl: 1.027741 loss_bbox: 0.456769 loss_dfl: 0.426231 loss: 1.931085 eta: 21:29:51 batch_cost: 0.9957 data_cost: 0.2693 ips: 56.2414 images/s [03/18 09:23:24] ppdet.engine INFO: Epoch: [140] [380/523] learning_rate: 0.154019 loss_vfl: 0.999552 loss_bbox: 0.439931 loss_dfl: 0.402051 loss: 1.838377 eta: 21:29:36 batch_cost: 1.0873 data_cost: 0.1828 ips: 51.5046 images/s [03/18 09:23:45] ppdet.engine INFO: Epoch: [140] [400/523] learning_rate: 0.153963 loss_vfl: 1.007460 loss_bbox: 0.446067 loss_dfl: 0.418332 loss: 1.891856 eta: 21:29:16 batch_cost: 0.8766 data_cost: 0.0768 ips: 63.8839 images/s [03/18 09:24:07] ppdet.engine INFO: Epoch: [140] [420/523] learning_rate: 0.153908 loss_vfl: 1.025157 loss_bbox: 0.443362 loss_dfl: 0.429724 loss: 1.913694 eta: 21:29:00 batch_cost: 1.0286 data_cost: 0.2519 ips: 54.4412 images/s [03/18 09:24:28] ppdet.engine INFO: Epoch: [140] [440/523] learning_rate: 0.153852 loss_vfl: 1.058996 loss_bbox: 0.475438 loss_dfl: 0.432712 loss: 1.956248 eta: 21:28:42 batch_cost: 0.9401 data_cost: 0.0952 ips: 59.5702 images/s [03/18 09:24:51] ppdet.engine INFO: Epoch: [140] [460/523] learning_rate: 0.153796 loss_vfl: 0.976188 loss_bbox: 0.448923 loss_dfl: 0.402616 loss: 1.814830 eta: 21:28:26 batch_cost: 1.0386 data_cost: 0.2961 ips: 53.9192 images/s [03/18 09:25:14] ppdet.engine INFO: Epoch: [140] [480/523] learning_rate: 0.153740 loss_vfl: 1.075137 loss_bbox: 0.476913 loss_dfl: 0.437618 loss: 1.995189 eta: 21:28:09 batch_cost: 1.0000 data_cost: 0.2694 ips: 56.0015 images/s [03/18 09:25:35] ppdet.engine INFO: Epoch: [140] [500/523] learning_rate: 0.153684 loss_vfl: 1.050580 loss_bbox: 0.476113 loss_dfl: 0.444478 loss: 1.969274 eta: 21:27:51 batch_cost: 0.9669 data_cost: 0.1473 ips: 57.9186 images/s [03/18 09:25:52] ppdet.engine INFO: Epoch: [140] [520/523] learning_rate: 0.153628 loss_vfl: 1.079893 loss_bbox: 0.489291 loss_dfl: 0.440158 loss: 2.001758 eta: 21:27:29 batch_cost: 0.7982 data_cost: 0.0963 ips: 70.1608 images/s [03/18 09:26:04] ppdet.engine INFO: Epoch: [141] [ 0/523] learning_rate: 0.153620 loss_vfl: 1.018965 loss_bbox: 0.446599 loss_dfl: 0.416765 loss: 1.901249 eta: 21:27:34 batch_cost: 1.1825 data_cost: 0.5212 ips: 47.3572 images/s [03/18 09:26:25] ppdet.engine INFO: Epoch: [141] [ 20/523] learning_rate: 0.153564 loss_vfl: 1.034821 loss_bbox: 0.450759 loss_dfl: 0.427947 loss: 1.962149 eta: 21:27:16 batch_cost: 0.9231 data_cost: 0.0255 ips: 60.6683 images/s [03/18 09:26:43] ppdet.engine INFO: Epoch: [141] [ 40/523] learning_rate: 0.153508 loss_vfl: 1.112181 loss_bbox: 0.479488 loss_dfl: 0.456880 loss: 2.051301 eta: 21:26:54 batch_cost: 0.8049 data_cost: 0.0022 ips: 69.5765 images/s [03/18 09:27:03] ppdet.engine INFO: Epoch: [141] [ 60/523] learning_rate: 0.153452 loss_vfl: 1.003403 loss_bbox: 0.434422 loss_dfl: 0.420869 loss: 1.878870 eta: 21:26:35 batch_cost: 0.8997 data_cost: 0.0007 ips: 62.2417 images/s [03/18 09:27:22] ppdet.engine INFO: Epoch: [141] [ 80/523] learning_rate: 0.153396 loss_vfl: 1.048071 loss_bbox: 0.467959 loss_dfl: 0.430781 loss: 1.932128 eta: 21:26:13 batch_cost: 0.7783 data_cost: 0.0054 ips: 71.9536 images/s [03/18 09:27:40] ppdet.engine INFO: Epoch: [141] [100/523] learning_rate: 0.153340 loss_vfl: 1.030001 loss_bbox: 0.466243 loss_dfl: 0.432769 loss: 1.908702 eta: 21:25:51 batch_cost: 0.7738 data_cost: 0.0017 ips: 72.3716 images/s [03/18 09:28:00] ppdet.engine INFO: Epoch: [141] [120/523] learning_rate: 0.153284 loss_vfl: 1.070264 loss_bbox: 0.461883 loss_dfl: 0.435793 loss: 1.947854 eta: 21:25:31 batch_cost: 0.8505 data_cost: 0.0043 ips: 65.8401 images/s [03/18 09:28:22] ppdet.engine INFO: Epoch: [141] [140/523] learning_rate: 0.153228 loss_vfl: 1.070198 loss_bbox: 0.479723 loss_dfl: 0.440582 loss: 2.004646 eta: 21:25:12 batch_cost: 0.9012 data_cost: 0.1531 ips: 62.1418 images/s [03/18 09:28:43] ppdet.engine INFO: Epoch: [141] [160/523] learning_rate: 0.153172 loss_vfl: 1.077532 loss_bbox: 0.469383 loss_dfl: 0.439404 loss: 1.987726 eta: 21:24:53 batch_cost: 0.9173 data_cost: 0.1474 ips: 61.0469 images/s [03/18 09:29:04] ppdet.engine INFO: Epoch: [141] [180/523] learning_rate: 0.153116 loss_vfl: 1.094885 loss_bbox: 0.493392 loss_dfl: 0.452992 loss: 2.042109 eta: 21:24:32 batch_cost: 0.8232 data_cost: 0.0690 ips: 68.0234 images/s [03/18 09:29:25] ppdet.engine INFO: Epoch: [141] [200/523] learning_rate: 0.153061 loss_vfl: 1.037567 loss_bbox: 0.436805 loss_dfl: 0.429458 loss: 1.904626 eta: 21:24:12 batch_cost: 0.8766 data_cost: 0.0966 ips: 63.8847 images/s [03/18 09:29:44] ppdet.engine INFO: Epoch: [141] [220/523] learning_rate: 0.153005 loss_vfl: 1.021685 loss_bbox: 0.449641 loss_dfl: 0.424341 loss: 1.882332 eta: 21:23:52 batch_cost: 0.8600 data_cost: 0.0058 ips: 65.1144 images/s [03/18 09:30:05] ppdet.engine INFO: Epoch: [141] [240/523] learning_rate: 0.152949 loss_vfl: 1.089976 loss_bbox: 0.470096 loss_dfl: 0.437833 loss: 2.000920 eta: 21:23:33 batch_cost: 0.9186 data_cost: 0.0039 ips: 60.9652 images/s [03/18 09:30:27] ppdet.engine INFO: Epoch: [141] [260/523] learning_rate: 0.152893 loss_vfl: 1.099291 loss_bbox: 0.471667 loss_dfl: 0.427012 loss: 1.980185 eta: 21:23:14 batch_cost: 0.9115 data_cost: 0.0639 ips: 61.4389 images/s [03/18 09:30:47] ppdet.engine INFO: Epoch: [141] [280/523] learning_rate: 0.152837 loss_vfl: 1.072235 loss_bbox: 0.481738 loss_dfl: 0.443224 loss: 2.006670 eta: 21:22:52 batch_cost: 0.7849 data_cost: 0.0355 ips: 71.3455 images/s [03/18 09:31:08] ppdet.engine INFO: Epoch: [141] [300/523] learning_rate: 0.152781 loss_vfl: 1.108895 loss_bbox: 0.464742 loss_dfl: 0.438538 loss: 1.999209 eta: 21:22:35 batch_cost: 0.9686 data_cost: 0.0115 ips: 57.8138 images/s [03/18 09:31:28] ppdet.engine INFO: Epoch: [141] [320/523] learning_rate: 0.152725 loss_vfl: 1.030977 loss_bbox: 0.475341 loss_dfl: 0.431590 loss: 1.921893 eta: 21:22:16 batch_cost: 0.9318 data_cost: 0.0089 ips: 60.1001 images/s [03/18 09:31:48] ppdet.engine INFO: Epoch: [141] [340/523] learning_rate: 0.152669 loss_vfl: 1.075308 loss_bbox: 0.462508 loss_dfl: 0.429231 loss: 1.956117 eta: 21:21:54 batch_cost: 0.7805 data_cost: 0.0446 ips: 71.7460 images/s [03/18 09:32:06] ppdet.engine INFO: Epoch: [141] [360/523] learning_rate: 0.152613 loss_vfl: 1.069150 loss_bbox: 0.471672 loss_dfl: 0.432634 loss: 2.005247 eta: 21:21:33 batch_cost: 0.8258 data_cost: 0.0040 ips: 67.8113 images/s [03/18 09:32:23] ppdet.engine INFO: Epoch: [141] [380/523] learning_rate: 0.152557 loss_vfl: 1.064101 loss_bbox: 0.480208 loss_dfl: 0.439390 loss: 1.975928 eta: 21:21:10 batch_cost: 0.7342 data_cost: 0.0016 ips: 76.2719 images/s [03/18 09:32:43] ppdet.engine INFO: Epoch: [141] [400/523] learning_rate: 0.152501 loss_vfl: 0.997841 loss_bbox: 0.450797 loss_dfl: 0.423862 loss: 1.890233 eta: 21:20:50 batch_cost: 0.8602 data_cost: 0.0041 ips: 65.0999 images/s [03/18 09:33:05] ppdet.engine INFO: Epoch: [141] [420/523] learning_rate: 0.152445 loss_vfl: 1.069727 loss_bbox: 0.479751 loss_dfl: 0.438121 loss: 1.998442 eta: 21:20:32 batch_cost: 0.9177 data_cost: 0.0035 ips: 61.0252 images/s [03/18 09:33:25] ppdet.engine INFO: Epoch: [141] [440/523] learning_rate: 0.152389 loss_vfl: 1.050923 loss_bbox: 0.457062 loss_dfl: 0.431516 loss: 1.942641 eta: 21:20:12 batch_cost: 0.8734 data_cost: 0.0028 ips: 64.1150 images/s [03/18 09:33:47] ppdet.engine INFO: Epoch: [141] [460/523] learning_rate: 0.152333 loss_vfl: 1.151412 loss_bbox: 0.483184 loss_dfl: 0.465122 loss: 2.122377 eta: 21:19:53 batch_cost: 0.9312 data_cost: 0.0296 ips: 60.1366 images/s [03/18 09:34:07] ppdet.engine INFO: Epoch: [141] [480/523] learning_rate: 0.152277 loss_vfl: 1.078475 loss_bbox: 0.468085 loss_dfl: 0.434032 loss: 1.980028 eta: 21:19:32 batch_cost: 0.8165 data_cost: 0.0536 ips: 68.5823 images/s [03/18 09:34:28] ppdet.engine INFO: Epoch: [141] [500/523] learning_rate: 0.152221 loss_vfl: 1.090495 loss_bbox: 0.466321 loss_dfl: 0.441405 loss: 1.996848 eta: 21:19:12 batch_cost: 0.8588 data_cost: 0.1568 ips: 65.2072 images/s [03/18 09:34:45] ppdet.engine INFO: Epoch: [141] [520/523] learning_rate: 0.152165 loss_vfl: 1.047128 loss_bbox: 0.453849 loss_dfl: 0.420719 loss: 1.932312 eta: 21:18:50 batch_cost: 0.7586 data_cost: 0.0031 ips: 73.8197 images/s [03/18 09:34:58] ppdet.engine INFO: Epoch: [142] [ 0/523] learning_rate: 0.152157 loss_vfl: 1.042048 loss_bbox: 0.448154 loss_dfl: 0.420719 loss: 1.921627 eta: 21:18:57 batch_cost: 1.2035 data_cost: 0.4039 ips: 46.5305 images/s [03/18 09:35:20] ppdet.engine INFO: Epoch: [142] [ 20/523] learning_rate: 0.152101 loss_vfl: 1.055076 loss_bbox: 0.460590 loss_dfl: 0.424414 loss: 1.932210 eta: 21:18:38 batch_cost: 0.8952 data_cost: 0.0061 ips: 62.5563 images/s [03/18 09:35:39] ppdet.engine INFO: Epoch: [142] [ 40/523] learning_rate: 0.152045 loss_vfl: 1.072238 loss_bbox: 0.461739 loss_dfl: 0.437259 loss: 1.979724 eta: 21:18:17 batch_cost: 0.8435 data_cost: 0.0035 ips: 66.3900 images/s [03/18 09:36:01] ppdet.engine INFO: Epoch: [142] [ 60/523] learning_rate: 0.151989 loss_vfl: 1.079313 loss_bbox: 0.470616 loss_dfl: 0.436414 loss: 1.981946 eta: 21:17:56 batch_cost: 0.8295 data_cost: 0.0036 ips: 67.5100 images/s [03/18 09:36:21] ppdet.engine INFO: Epoch: [142] [ 80/523] learning_rate: 0.151933 loss_vfl: 1.089160 loss_bbox: 0.475765 loss_dfl: 0.438916 loss: 2.010761 eta: 21:17:35 batch_cost: 0.8148 data_cost: 0.0052 ips: 68.7299 images/s [03/18 09:36:41] ppdet.engine INFO: Epoch: [142] [100/523] learning_rate: 0.151877 loss_vfl: 1.044013 loss_bbox: 0.454389 loss_dfl: 0.413102 loss: 1.917103 eta: 21:17:15 batch_cost: 0.8557 data_cost: 0.0041 ips: 65.4458 images/s [03/18 09:37:00] ppdet.engine INFO: Epoch: [142] [120/523] learning_rate: 0.151821 loss_vfl: 1.007461 loss_bbox: 0.407114 loss_dfl: 0.417295 loss: 1.831870 eta: 21:16:54 batch_cost: 0.8082 data_cost: 0.1006 ips: 69.2912 images/s [03/18 09:37:18] ppdet.engine INFO: Epoch: [142] [140/523] learning_rate: 0.151765 loss_vfl: 1.060318 loss_bbox: 0.483713 loss_dfl: 0.445161 loss: 1.998159 eta: 21:16:30 batch_cost: 0.7019 data_cost: 0.0042 ips: 79.7855 images/s [03/18 09:37:38] ppdet.engine INFO: Epoch: [142] [160/523] learning_rate: 0.151709 loss_vfl: 1.040334 loss_bbox: 0.455889 loss_dfl: 0.415077 loss: 1.914864 eta: 21:16:10 batch_cost: 0.8652 data_cost: 0.0037 ips: 64.7284 images/s [03/18 09:38:00] ppdet.engine INFO: Epoch: [142] [180/523] learning_rate: 0.151653 loss_vfl: 1.076291 loss_bbox: 0.475481 loss_dfl: 0.444783 loss: 2.013979 eta: 21:15:52 batch_cost: 0.9365 data_cost: 0.0064 ips: 59.7987 images/s [03/18 09:38:21] ppdet.engine INFO: Epoch: [142] [200/523] learning_rate: 0.151597 loss_vfl: 1.091529 loss_bbox: 0.470050 loss_dfl: 0.444371 loss: 2.032501 eta: 21:15:31 batch_cost: 0.8184 data_cost: 0.0054 ips: 68.4291 images/s [03/18 09:38:42] ppdet.engine INFO: Epoch: [142] [220/523] learning_rate: 0.151541 loss_vfl: 1.081855 loss_bbox: 0.462323 loss_dfl: 0.433131 loss: 1.975700 eta: 21:15:11 batch_cost: 0.8657 data_cost: 0.0048 ips: 64.6903 images/s [03/18 09:39:03] ppdet.engine INFO: Epoch: [142] [240/523] learning_rate: 0.151485 loss_vfl: 1.086584 loss_bbox: 0.473145 loss_dfl: 0.448734 loss: 2.032536 eta: 21:14:51 batch_cost: 0.8864 data_cost: 0.0013 ips: 63.1767 images/s [03/18 09:39:23] ppdet.engine INFO: Epoch: [142] [260/523] learning_rate: 0.151429 loss_vfl: 1.064310 loss_bbox: 0.455197 loss_dfl: 0.442784 loss: 1.955769 eta: 21:14:31 batch_cost: 0.8453 data_cost: 0.0065 ips: 66.2459 images/s [03/18 09:39:44] ppdet.engine INFO: Epoch: [142] [280/523] learning_rate: 0.151373 loss_vfl: 1.011394 loss_bbox: 0.440432 loss_dfl: 0.413195 loss: 1.856977 eta: 21:14:12 batch_cost: 0.8954 data_cost: 0.0053 ips: 62.5438 images/s [03/18 09:40:06] ppdet.engine INFO: Epoch: [142] [300/523] learning_rate: 0.151317 loss_vfl: 1.020924 loss_bbox: 0.444671 loss_dfl: 0.419697 loss: 1.883255 eta: 21:13:53 batch_cost: 0.9075 data_cost: 0.0026 ips: 61.7098 images/s [03/18 09:40:27] ppdet.engine INFO: Epoch: [142] [320/523] learning_rate: 0.151261 loss_vfl: 1.038320 loss_bbox: 0.467935 loss_dfl: 0.425977 loss: 1.928586 eta: 21:13:34 batch_cost: 0.9260 data_cost: 0.0036 ips: 60.4735 images/s [03/18 09:40:46] ppdet.engine INFO: Epoch: [142] [340/523] learning_rate: 0.151205 loss_vfl: 1.058523 loss_bbox: 0.448279 loss_dfl: 0.430348 loss: 1.969755 eta: 21:13:13 batch_cost: 0.8023 data_cost: 0.0021 ips: 69.7958 images/s [03/18 09:41:06] ppdet.engine INFO: Epoch: [142] [360/523] learning_rate: 0.151149 loss_vfl: 1.091567 loss_bbox: 0.505084 loss_dfl: 0.465348 loss: 2.077258 eta: 21:12:53 batch_cost: 0.8626 data_cost: 0.0041 ips: 64.9165 images/s [03/18 09:41:29] ppdet.engine INFO: Epoch: [142] [380/523] learning_rate: 0.151093 loss_vfl: 1.041561 loss_bbox: 0.482626 loss_dfl: 0.427899 loss: 1.954828 eta: 21:12:36 batch_cost: 1.0187 data_cost: 0.0024 ips: 54.9707 images/s [03/18 09:41:49] ppdet.engine INFO: Epoch: [142] [400/523] learning_rate: 0.151037 loss_vfl: 1.012351 loss_bbox: 0.434633 loss_dfl: 0.408358 loss: 1.840402 eta: 21:12:16 batch_cost: 0.8569 data_cost: 0.0047 ips: 65.3494 images/s [03/18 09:42:05] ppdet.engine INFO: Epoch: [142] [420/523] learning_rate: 0.150981 loss_vfl: 1.076505 loss_bbox: 0.451086 loss_dfl: 0.429021 loss: 1.968285 eta: 21:11:53 batch_cost: 0.7047 data_cost: 0.0044 ips: 79.4635 images/s [03/18 09:42:23] ppdet.engine INFO: Epoch: [142] [440/523] learning_rate: 0.150925 loss_vfl: 1.048494 loss_bbox: 0.447142 loss_dfl: 0.418563 loss: 1.914906 eta: 21:11:29 batch_cost: 0.6908 data_cost: 0.0092 ips: 81.0639 images/s [03/18 09:42:42] ppdet.engine INFO: Epoch: [142] [460/523] learning_rate: 0.150869 loss_vfl: 1.069377 loss_bbox: 0.460746 loss_dfl: 0.448226 loss: 2.017136 eta: 21:11:08 batch_cost: 0.8087 data_cost: 0.0037 ips: 69.2483 images/s [03/18 09:43:04] ppdet.engine INFO: Epoch: [142] [480/523] learning_rate: 0.150813 loss_vfl: 1.069316 loss_bbox: 0.459118 loss_dfl: 0.421932 loss: 1.942288 eta: 21:10:48 batch_cost: 0.8640 data_cost: 0.0034 ips: 64.8121 images/s [03/18 09:43:26] ppdet.engine INFO: Epoch: [142] [500/523] learning_rate: 0.150757 loss_vfl: 1.039496 loss_bbox: 0.472317 loss_dfl: 0.430494 loss: 1.927848 eta: 21:10:28 batch_cost: 0.8727 data_cost: 0.0173 ips: 64.1697 images/s [03/18 09:43:43] ppdet.engine INFO: Epoch: [142] [520/523] learning_rate: 0.150701 loss_vfl: 1.057770 loss_bbox: 0.473317 loss_dfl: 0.440672 loss: 1.998672 eta: 21:10:05 batch_cost: 0.7407 data_cost: 0.0162 ips: 75.6070 images/s [03/18 09:43:53] ppdet.engine INFO: Epoch: [143] [ 0/523] learning_rate: 0.150693 loss_vfl: 1.073226 loss_bbox: 0.473317 loss_dfl: 0.437687 loss: 2.006691 eta: 21:10:09 batch_cost: 1.0598 data_cost: 0.3723 ips: 52.8407 images/s [03/18 09:44:19] ppdet.engine INFO: Epoch: [143] [ 20/523] learning_rate: 0.150637 loss_vfl: 1.115090 loss_bbox: 0.504441 loss_dfl: 0.451195 loss: 2.075938 eta: 21:09:55 batch_cost: 1.1273 data_cost: 0.0118 ips: 49.6760 images/s [03/18 09:44:41] ppdet.engine INFO: Epoch: [143] [ 40/523] learning_rate: 0.150581 loss_vfl: 1.012093 loss_bbox: 0.428126 loss_dfl: 0.404818 loss: 1.858425 eta: 21:09:37 batch_cost: 0.9383 data_cost: 0.0016 ips: 59.6825 images/s [03/18 09:45:00] ppdet.engine INFO: Epoch: [143] [ 60/523] learning_rate: 0.150525 loss_vfl: 1.052294 loss_bbox: 0.466630 loss_dfl: 0.437357 loss: 1.965829 eta: 21:09:15 batch_cost: 0.7877 data_cost: 0.0080 ips: 71.0965 images/s [03/18 09:45:23] ppdet.engine INFO: Epoch: [143] [ 80/523] learning_rate: 0.150469 loss_vfl: 0.982876 loss_bbox: 0.437662 loss_dfl: 0.407401 loss: 1.803851 eta: 21:08:57 batch_cost: 0.9755 data_cost: 0.0045 ips: 57.4063 images/s [03/18 09:45:45] ppdet.engine INFO: Epoch: [143] [100/523] learning_rate: 0.150413 loss_vfl: 1.055905 loss_bbox: 0.463074 loss_dfl: 0.429380 loss: 1.930755 eta: 21:08:39 batch_cost: 0.9239 data_cost: 0.0058 ips: 60.6139 images/s [03/18 09:46:09] ppdet.engine INFO: Epoch: [143] [120/523] learning_rate: 0.150357 loss_vfl: 0.990607 loss_bbox: 0.436924 loss_dfl: 0.411644 loss: 1.844167 eta: 21:08:21 batch_cost: 0.9711 data_cost: 0.0028 ips: 57.6638 images/s [03/18 09:46:30] ppdet.engine INFO: Epoch: [143] [140/523] learning_rate: 0.150301 loss_vfl: 1.066592 loss_bbox: 0.484637 loss_dfl: 0.432144 loss: 1.977076 eta: 21:08:01 batch_cost: 0.8765 data_cost: 0.0062 ips: 63.8926 images/s [03/18 09:46:49] ppdet.engine INFO: Epoch: [143] [160/523] learning_rate: 0.150245 loss_vfl: 1.041137 loss_bbox: 0.449438 loss_dfl: 0.420164 loss: 1.902120 eta: 21:07:41 batch_cost: 0.8346 data_cost: 0.0028 ips: 67.1020 images/s [03/18 09:47:07] ppdet.engine INFO: Epoch: [143] [180/523] learning_rate: 0.150189 loss_vfl: 1.073694 loss_bbox: 0.456833 loss_dfl: 0.439732 loss: 1.959193 eta: 21:07:19 batch_cost: 0.7768 data_cost: 0.0041 ips: 72.0938 images/s [03/18 09:47:30] ppdet.engine INFO: Epoch: [143] [200/523] learning_rate: 0.150133 loss_vfl: 0.977892 loss_bbox: 0.426355 loss_dfl: 0.413012 loss: 1.793556 eta: 21:07:01 batch_cost: 0.9548 data_cost: 0.0194 ips: 58.6509 images/s [03/18 09:47:52] ppdet.engine INFO: Epoch: [143] [220/523] learning_rate: 0.150077 loss_vfl: 1.062338 loss_bbox: 0.450936 loss_dfl: 0.421845 loss: 1.920474 eta: 21:06:43 batch_cost: 0.9481 data_cost: 0.0068 ips: 59.0662 images/s [03/18 09:48:11] ppdet.engine INFO: Epoch: [143] [240/523] learning_rate: 0.150021 loss_vfl: 1.069782 loss_bbox: 0.473265 loss_dfl: 0.438410 loss: 1.993048 eta: 21:06:20 batch_cost: 0.7501 data_cost: 0.0166 ips: 74.6613 images/s [03/18 09:48:33] ppdet.engine INFO: Epoch: [143] [260/523] learning_rate: 0.149965 loss_vfl: 1.051035 loss_bbox: 0.438529 loss_dfl: 0.435036 loss: 1.939984 eta: 21:06:02 batch_cost: 0.9208 data_cost: 0.0030 ips: 60.8139 images/s [03/18 09:48:55] ppdet.engine INFO: Epoch: [143] [280/523] learning_rate: 0.149909 loss_vfl: 1.045007 loss_bbox: 0.446748 loss_dfl: 0.408184 loss: 1.868266 eta: 21:05:45 batch_cost: 0.9960 data_cost: 0.0067 ips: 56.2269 images/s [03/18 09:49:21] ppdet.engine INFO: Epoch: [143] [300/523] learning_rate: 0.149853 loss_vfl: 1.071659 loss_bbox: 0.493259 loss_dfl: 0.451024 loss: 2.020685 eta: 21:05:30 batch_cost: 1.1241 data_cost: 0.0073 ips: 49.8159 images/s [03/18 09:49:41] ppdet.engine INFO: Epoch: [143] [320/523] learning_rate: 0.149797 loss_vfl: 1.067318 loss_bbox: 0.458764 loss_dfl: 0.436738 loss: 1.975546 eta: 21:05:11 batch_cost: 0.8861 data_cost: 0.0077 ips: 63.1968 images/s [03/18 09:50:05] ppdet.engine INFO: Epoch: [143] [340/523] learning_rate: 0.149741 loss_vfl: 1.043822 loss_bbox: 0.471718 loss_dfl: 0.430622 loss: 1.945204 eta: 21:04:52 batch_cost: 0.9363 data_cost: 0.0021 ips: 59.8105 images/s [03/18 09:50:26] ppdet.engine INFO: Epoch: [143] [360/523] learning_rate: 0.149685 loss_vfl: 1.078627 loss_bbox: 0.472954 loss_dfl: 0.446215 loss: 1.984261 eta: 21:04:33 batch_cost: 0.8819 data_cost: 0.0032 ips: 63.4969 images/s [03/18 09:50:47] ppdet.engine INFO: Epoch: [143] [380/523] learning_rate: 0.149629 loss_vfl: 1.057393 loss_bbox: 0.448799 loss_dfl: 0.419209 loss: 1.907222 eta: 21:04:12 batch_cost: 0.8029 data_cost: 0.0027 ips: 69.7500 images/s [03/18 09:51:07] ppdet.engine INFO: Epoch: [143] [400/523] learning_rate: 0.149573 loss_vfl: 1.013581 loss_bbox: 0.448401 loss_dfl: 0.410927 loss: 1.868178 eta: 21:03:51 batch_cost: 0.8218 data_cost: 0.0035 ips: 68.1457 images/s [03/18 09:51:26] ppdet.engine INFO: Epoch: [143] [420/523] learning_rate: 0.149517 loss_vfl: 1.058221 loss_bbox: 0.466742 loss_dfl: 0.444617 loss: 1.955713 eta: 21:03:28 batch_cost: 0.7269 data_cost: 0.0130 ips: 77.0423 images/s [03/18 09:51:45] ppdet.engine INFO: Epoch: [143] [440/523] learning_rate: 0.149460 loss_vfl: 0.999882 loss_bbox: 0.431173 loss_dfl: 0.411550 loss: 1.846464 eta: 21:03:07 batch_cost: 0.8243 data_cost: 0.0105 ips: 67.9339 images/s [03/18 09:52:04] ppdet.engine INFO: Epoch: [143] [460/523] learning_rate: 0.149404 loss_vfl: 1.110132 loss_bbox: 0.485514 loss_dfl: 0.451146 loss: 2.033476 eta: 21:02:47 batch_cost: 0.8427 data_cost: 0.0024 ips: 66.4513 images/s [03/18 09:52:27] ppdet.engine INFO: Epoch: [143] [480/523] learning_rate: 0.149348 loss_vfl: 1.041460 loss_bbox: 0.444308 loss_dfl: 0.408272 loss: 1.876192 eta: 21:02:27 batch_cost: 0.9006 data_cost: 0.0045 ips: 62.1777 images/s [03/18 09:52:49] ppdet.engine INFO: Epoch: [143] [500/523] learning_rate: 0.149292 loss_vfl: 1.080040 loss_bbox: 0.473744 loss_dfl: 0.438432 loss: 2.000681 eta: 21:02:08 batch_cost: 0.8829 data_cost: 0.0042 ips: 63.4250 images/s [03/18 09:53:08] ppdet.engine INFO: Epoch: [143] [520/523] learning_rate: 0.149236 loss_vfl: 1.111070 loss_bbox: 0.501605 loss_dfl: 0.464290 loss: 2.084338 eta: 21:01:46 batch_cost: 0.7757 data_cost: 0.0007 ips: 72.1897 images/s [03/18 09:53:20] ppdet.engine INFO: Epoch: [144] [ 0/523] learning_rate: 0.149228 loss_vfl: 1.088178 loss_bbox: 0.480259 loss_dfl: 0.458556 loss: 2.060410 eta: 21:01:51 batch_cost: 1.1487 data_cost: 0.2142 ips: 48.7515 images/s [03/18 09:53:48] ppdet.engine INFO: Epoch: [144] [ 20/523] learning_rate: 0.149172 loss_vfl: 1.053393 loss_bbox: 0.462633 loss_dfl: 0.433680 loss: 1.922099 eta: 21:01:38 batch_cost: 1.1748 data_cost: 0.0948 ips: 47.6697 images/s [03/18 09:54:09] ppdet.engine INFO: Epoch: [144] [ 40/523] learning_rate: 0.149116 loss_vfl: 1.066681 loss_bbox: 0.464991 loss_dfl: 0.435697 loss: 1.982033 eta: 21:01:18 batch_cost: 0.8501 data_cost: 0.0057 ips: 65.8782 images/s [03/18 09:54:34] ppdet.engine INFO: Epoch: [144] [ 60/523] learning_rate: 0.149060 loss_vfl: 1.041737 loss_bbox: 0.485395 loss_dfl: 0.450513 loss: 1.970435 eta: 21:01:03 batch_cost: 1.0835 data_cost: 0.0057 ips: 51.6832 images/s [03/18 09:54:58] ppdet.engine INFO: Epoch: [144] [ 80/523] learning_rate: 0.149004 loss_vfl: 1.073282 loss_bbox: 0.474326 loss_dfl: 0.440480 loss: 1.990463 eta: 21:00:46 batch_cost: 1.0394 data_cost: 0.0131 ips: 53.8760 images/s [03/18 09:55:22] ppdet.engine INFO: Epoch: [144] [100/523] learning_rate: 0.148948 loss_vfl: 1.060386 loss_bbox: 0.451894 loss_dfl: 0.427793 loss: 1.931209 eta: 21:00:30 batch_cost: 1.0241 data_cost: 0.0151 ips: 54.6805 images/s [03/18 09:55:44] ppdet.engine INFO: Epoch: [144] [120/523] learning_rate: 0.148892 loss_vfl: 1.037057 loss_bbox: 0.446990 loss_dfl: 0.405112 loss: 1.902985 eta: 21:00:13 batch_cost: 1.0126 data_cost: 0.0045 ips: 55.3016 images/s [03/18 09:56:03] ppdet.engine INFO: Epoch: [144] [140/523] learning_rate: 0.148836 loss_vfl: 1.129898 loss_bbox: 0.500964 loss_dfl: 0.463179 loss: 2.113485 eta: 20:59:51 batch_cost: 0.7743 data_cost: 0.0030 ips: 72.3221 images/s [03/18 09:56:25] ppdet.engine INFO: Epoch: [144] [160/523] learning_rate: 0.148779 loss_vfl: 1.036679 loss_bbox: 0.456528 loss_dfl: 0.430577 loss: 1.889517 eta: 20:59:33 batch_cost: 0.9455 data_cost: 0.0051 ips: 59.2265 images/s [03/18 09:56:46] ppdet.engine INFO: Epoch: [144] [180/523] learning_rate: 0.148723 loss_vfl: 1.034013 loss_bbox: 0.458207 loss_dfl: 0.420972 loss: 1.898819 eta: 20:59:14 batch_cost: 0.9060 data_cost: 0.0030 ips: 61.8069 images/s [03/18 09:57:11] ppdet.engine INFO: Epoch: [144] [200/523] learning_rate: 0.148667 loss_vfl: 1.051300 loss_bbox: 0.451935 loss_dfl: 0.435956 loss: 1.940855 eta: 20:58:59 batch_cost: 1.1003 data_cost: 0.0098 ips: 50.8931 images/s [03/18 09:57:35] ppdet.engine INFO: Epoch: [144] [220/523] learning_rate: 0.148611 loss_vfl: 1.087252 loss_bbox: 0.494032 loss_dfl: 0.465917 loss: 2.047201 eta: 20:58:43 batch_cost: 1.0215 data_cost: 0.0124 ips: 54.8223 images/s [03/18 09:57:58] ppdet.engine INFO: Epoch: [144] [240/523] learning_rate: 0.148555 loss_vfl: 1.072779 loss_bbox: 0.450926 loss_dfl: 0.426679 loss: 1.952323 eta: 20:58:25 batch_cost: 0.9602 data_cost: 0.0050 ips: 58.3203 images/s [03/18 09:58:21] ppdet.engine INFO: Epoch: [144] [260/523] learning_rate: 0.148499 loss_vfl: 1.116604 loss_bbox: 0.490199 loss_dfl: 0.458949 loss: 2.066917 eta: 20:58:08 batch_cost: 1.0079 data_cost: 0.0062 ips: 55.5589 images/s [03/18 09:58:47] ppdet.engine INFO: Epoch: [144] [280/523] learning_rate: 0.148443 loss_vfl: 1.079859 loss_bbox: 0.489674 loss_dfl: 0.450589 loss: 2.004859 eta: 20:57:53 batch_cost: 1.0954 data_cost: 0.1711 ips: 51.1251 images/s [03/18 09:59:09] ppdet.engine INFO: Epoch: [144] [300/523] learning_rate: 0.148387 loss_vfl: 1.057930 loss_bbox: 0.474679 loss_dfl: 0.429663 loss: 1.967887 eta: 20:57:34 batch_cost: 0.9060 data_cost: 0.0111 ips: 61.8075 images/s [03/18 09:59:33] ppdet.engine INFO: Epoch: [144] [320/523] learning_rate: 0.148331 loss_vfl: 1.021031 loss_bbox: 0.455808 loss_dfl: 0.411413 loss: 1.887772 eta: 20:57:18 batch_cost: 1.0291 data_cost: 0.0102 ips: 54.4147 images/s [03/18 09:59:54] ppdet.engine INFO: Epoch: [144] [340/523] learning_rate: 0.148275 loss_vfl: 1.076179 loss_bbox: 0.485734 loss_dfl: 0.448990 loss: 1.983156 eta: 20:56:58 batch_cost: 0.8861 data_cost: 0.0030 ips: 63.2009 images/s [03/18 10:00:13] ppdet.engine INFO: Epoch: [144] [360/523] learning_rate: 0.148219 loss_vfl: 1.059506 loss_bbox: 0.477314 loss_dfl: 0.444149 loss: 2.006742 eta: 20:56:38 batch_cost: 0.8401 data_cost: 0.0691 ips: 66.6602 images/s [03/18 10:00:34] ppdet.engine INFO: Epoch: [144] [380/523] learning_rate: 0.148163 loss_vfl: 1.113091 loss_bbox: 0.467427 loss_dfl: 0.437935 loss: 2.024911 eta: 20:56:18 batch_cost: 0.8976 data_cost: 0.0051 ips: 62.3880 images/s [03/18 10:00:58] ppdet.engine INFO: Epoch: [144] [400/523] learning_rate: 0.148107 loss_vfl: 1.061783 loss_bbox: 0.454478 loss_dfl: 0.423571 loss: 1.935255 eta: 20:56:03 batch_cost: 1.0837 data_cost: 0.0011 ips: 51.6732 images/s [03/18 10:01:20] ppdet.engine INFO: Epoch: [144] [420/523] learning_rate: 0.148051 loss_vfl: 1.091936 loss_bbox: 0.440615 loss_dfl: 0.426082 loss: 1.982180 eta: 20:55:45 batch_cost: 0.9333 data_cost: 0.0057 ips: 59.9994 images/s [03/18 10:01:45] ppdet.engine INFO: Epoch: [144] [440/523] learning_rate: 0.147994 loss_vfl: 1.111568 loss_bbox: 0.507127 loss_dfl: 0.469820 loss: 2.125672 eta: 20:55:28 batch_cost: 1.0204 data_cost: 0.0036 ips: 54.8807 images/s [03/18 10:02:07] ppdet.engine INFO: Epoch: [144] [460/523] learning_rate: 0.147938 loss_vfl: 1.058848 loss_bbox: 0.469337 loss_dfl: 0.441523 loss: 1.989485 eta: 20:55:11 batch_cost: 0.9699 data_cost: 0.0086 ips: 57.7401 images/s [03/18 10:02:31] ppdet.engine INFO: Epoch: [144] [480/523] learning_rate: 0.147882 loss_vfl: 1.074645 loss_bbox: 0.464502 loss_dfl: 0.428168 loss: 1.977769 eta: 20:54:52 batch_cost: 0.9496 data_cost: 0.0080 ips: 58.9731 images/s [03/18 10:02:53] ppdet.engine INFO: Epoch: [144] [500/523] learning_rate: 0.147826 loss_vfl: 1.050041 loss_bbox: 0.476380 loss_dfl: 0.433030 loss: 1.961581 eta: 20:54:35 batch_cost: 0.9669 data_cost: 0.0010 ips: 57.9181 images/s [03/18 10:03:12] ppdet.engine INFO: Epoch: [144] [520/523] learning_rate: 0.147770 loss_vfl: 1.049984 loss_bbox: 0.444278 loss_dfl: 0.423203 loss: 1.918827 eta: 20:54:12 batch_cost: 0.7331 data_cost: 0.0023 ips: 76.3879 images/s [03/18 10:03:24] ppdet.engine INFO: Epoch: [145] [ 0/523] learning_rate: 0.147762 loss_vfl: 1.050405 loss_bbox: 0.464541 loss_dfl: 0.435513 loss: 1.965209 eta: 20:54:17 batch_cost: 1.0286 data_cost: 0.4301 ips: 54.4436 images/s [03/18 10:03:50] ppdet.engine INFO: Epoch: [145] [ 20/523] learning_rate: 0.147706 loss_vfl: 1.057327 loss_bbox: 0.462836 loss_dfl: 0.432195 loss: 1.953907 eta: 20:54:03 batch_cost: 1.1393 data_cost: 0.0025 ips: 49.1545 images/s [03/18 10:04:12] ppdet.engine INFO: Epoch: [145] [ 40/523] learning_rate: 0.147650 loss_vfl: 1.042576 loss_bbox: 0.470609 loss_dfl: 0.429860 loss: 1.934633 eta: 20:53:43 batch_cost: 0.8899 data_cost: 0.0035 ips: 62.9313 images/s [03/18 10:04:33] ppdet.engine INFO: Epoch: [145] [ 60/523] learning_rate: 0.147593 loss_vfl: 1.052722 loss_bbox: 0.468966 loss_dfl: 0.433710 loss: 1.970561 eta: 20:53:23 batch_cost: 0.8421 data_cost: 0.0046 ips: 66.5038 images/s [03/18 10:04:53] ppdet.engine INFO: Epoch: [145] [ 80/523] learning_rate: 0.147537 loss_vfl: 1.068580 loss_bbox: 0.471182 loss_dfl: 0.430011 loss: 1.953276 eta: 20:53:03 batch_cost: 0.8593 data_cost: 0.0029 ips: 65.1700 images/s [03/18 10:05:13] ppdet.engine INFO: Epoch: [145] [100/523] learning_rate: 0.147481 loss_vfl: 1.040713 loss_bbox: 0.457612 loss_dfl: 0.430575 loss: 1.953346 eta: 20:52:43 batch_cost: 0.8689 data_cost: 0.0032 ips: 64.4481 images/s [03/18 10:05:38] ppdet.engine INFO: Epoch: [145] [120/523] learning_rate: 0.147425 loss_vfl: 1.080881 loss_bbox: 0.494572 loss_dfl: 0.450610 loss: 2.042243 eta: 20:52:26 batch_cost: 1.0153 data_cost: 0.1187 ips: 55.1574 images/s [03/18 10:06:02] ppdet.engine INFO: Epoch: [145] [140/523] learning_rate: 0.147369 loss_vfl: 1.059119 loss_bbox: 0.477438 loss_dfl: 0.435496 loss: 1.964093 eta: 20:52:08 batch_cost: 0.9540 data_cost: 0.0017 ips: 58.7025 images/s [03/18 10:06:24] ppdet.engine INFO: Epoch: [145] [160/523] learning_rate: 0.147313 loss_vfl: 1.077838 loss_bbox: 0.462315 loss_dfl: 0.444298 loss: 1.988956 eta: 20:51:50 batch_cost: 0.9420 data_cost: 0.0132 ips: 59.4462 images/s [03/18 10:06:48] ppdet.engine INFO: Epoch: [145] [180/523] learning_rate: 0.147257 loss_vfl: 1.058673 loss_bbox: 0.469020 loss_dfl: 0.427376 loss: 1.954951 eta: 20:51:33 batch_cost: 1.0141 data_cost: 0.0379 ips: 55.2193 images/s [03/18 10:07:11] ppdet.engine INFO: Epoch: [145] [200/523] learning_rate: 0.147201 loss_vfl: 1.084334 loss_bbox: 0.481952 loss_dfl: 0.436600 loss: 1.992851 eta: 20:51:15 batch_cost: 0.9707 data_cost: 0.0029 ips: 57.6891 images/s [03/18 10:07:33] ppdet.engine INFO: Epoch: [145] [220/523] learning_rate: 0.147145 loss_vfl: 1.053583 loss_bbox: 0.467872 loss_dfl: 0.433601 loss: 1.944323 eta: 20:50:57 batch_cost: 0.9383 data_cost: 0.0192 ips: 59.6815 images/s [03/18 10:07:56] ppdet.engine INFO: Epoch: [145] [240/523] learning_rate: 0.147089 loss_vfl: 1.034449 loss_bbox: 0.471741 loss_dfl: 0.439772 loss: 1.956518 eta: 20:50:39 batch_cost: 0.9377 data_cost: 0.0065 ips: 59.7186 images/s [03/18 10:08:20] ppdet.engine INFO: Epoch: [145] [260/523] learning_rate: 0.147033 loss_vfl: 1.030996 loss_bbox: 0.475172 loss_dfl: 0.434961 loss: 1.942892 eta: 20:50:22 batch_cost: 1.0078 data_cost: 0.0079 ips: 55.5649 images/s [03/18 10:08:41] ppdet.engine INFO: Epoch: [145] [280/523] learning_rate: 0.146976 loss_vfl: 1.065235 loss_bbox: 0.473956 loss_dfl: 0.432654 loss: 1.974808 eta: 20:50:02 batch_cost: 0.8858 data_cost: 0.0061 ips: 63.2204 images/s [03/18 10:09:01] ppdet.engine INFO: Epoch: [145] [300/523] learning_rate: 0.146920 loss_vfl: 1.068977 loss_bbox: 0.491228 loss_dfl: 0.446097 loss: 2.011850 eta: 20:49:41 batch_cost: 0.7915 data_cost: 0.0059 ips: 70.7481 images/s [03/18 10:09:20] ppdet.engine INFO: Epoch: [145] [320/523] learning_rate: 0.146864 loss_vfl: 1.021363 loss_bbox: 0.467726 loss_dfl: 0.423834 loss: 1.911810 eta: 20:49:19 batch_cost: 0.7834 data_cost: 0.0476 ips: 71.4865 images/s [03/18 10:09:43] ppdet.engine INFO: Epoch: [145] [340/523] learning_rate: 0.146808 loss_vfl: 1.079077 loss_bbox: 0.458253 loss_dfl: 0.439082 loss: 1.961400 eta: 20:49:02 batch_cost: 1.0095 data_cost: 0.0031 ips: 55.4757 images/s [03/18 10:10:06] ppdet.engine INFO: Epoch: [145] [360/523] learning_rate: 0.146752 loss_vfl: 1.094779 loss_bbox: 0.478046 loss_dfl: 0.438958 loss: 1.994756 eta: 20:48:45 batch_cost: 0.9752 data_cost: 0.0017 ips: 57.4257 images/s [03/18 10:10:29] ppdet.engine INFO: Epoch: [145] [380/523] learning_rate: 0.146696 loss_vfl: 1.097747 loss_bbox: 0.478077 loss_dfl: 0.435206 loss: 2.024349 eta: 20:48:26 batch_cost: 0.8939 data_cost: 0.0314 ips: 62.6475 images/s [03/18 10:10:51] ppdet.engine INFO: Epoch: [145] [400/523] learning_rate: 0.146640 loss_vfl: 0.983486 loss_bbox: 0.437287 loss_dfl: 0.414071 loss: 1.828199 eta: 20:48:07 batch_cost: 0.9261 data_cost: 0.0095 ips: 60.4692 images/s [03/18 10:11:14] ppdet.engine INFO: Epoch: [145] [420/523] learning_rate: 0.146584 loss_vfl: 1.024798 loss_bbox: 0.422223 loss_dfl: 0.413502 loss: 1.874339 eta: 20:47:48 batch_cost: 0.9062 data_cost: 0.0061 ips: 61.7955 images/s [03/18 10:11:38] ppdet.engine INFO: Epoch: [145] [440/523] learning_rate: 0.146528 loss_vfl: 1.091674 loss_bbox: 0.458420 loss_dfl: 0.434367 loss: 1.962226 eta: 20:47:30 batch_cost: 0.9631 data_cost: 0.0075 ips: 58.1451 images/s [03/18 10:11:59] ppdet.engine INFO: Epoch: [145] [460/523] learning_rate: 0.146471 loss_vfl: 1.018062 loss_bbox: 0.454502 loss_dfl: 0.411281 loss: 1.878956 eta: 20:47:10 batch_cost: 0.8613 data_cost: 0.0030 ips: 65.0173 images/s [03/18 10:12:21] ppdet.engine INFO: Epoch: [145] [480/523] learning_rate: 0.146415 loss_vfl: 1.017885 loss_bbox: 0.441746 loss_dfl: 0.420091 loss: 1.889644 eta: 20:46:52 batch_cost: 0.9557 data_cost: 0.1384 ips: 58.5929 images/s [03/18 10:12:44] ppdet.engine INFO: Epoch: [145] [500/523] learning_rate: 0.146359 loss_vfl: 1.033623 loss_bbox: 0.489450 loss_dfl: 0.439572 loss: 1.981413 eta: 20:46:35 batch_cost: 0.9892 data_cost: 0.0902 ips: 56.6122 images/s [03/18 10:13:03] ppdet.engine INFO: Epoch: [145] [520/523] learning_rate: 0.146303 loss_vfl: 1.015754 loss_bbox: 0.458980 loss_dfl: 0.423377 loss: 1.910597 eta: 20:46:13 batch_cost: 0.7886 data_cost: 0.0012 ips: 71.0128 images/s [03/18 10:13:14] ppdet.engine INFO: Epoch: [146] [ 0/523] learning_rate: 0.146295 loss_vfl: 1.013879 loss_bbox: 0.456670 loss_dfl: 0.423047 loss: 1.910597 eta: 20:46:17 batch_cost: 1.0881 data_cost: 0.3844 ips: 51.4662 images/s [03/18 10:13:34] ppdet.engine INFO: Epoch: [146] [ 20/523] learning_rate: 0.146239 loss_vfl: 1.068791 loss_bbox: 0.471922 loss_dfl: 0.440580 loss: 1.976713 eta: 20:45:58 batch_cost: 0.9011 data_cost: 0.0846 ips: 62.1456 images/s [03/18 10:13:54] ppdet.engine INFO: Epoch: [146] [ 40/523] learning_rate: 0.146182 loss_vfl: 1.051780 loss_bbox: 0.448842 loss_dfl: 0.426959 loss: 1.932169 eta: 20:45:38 batch_cost: 0.8509 data_cost: 0.0059 ips: 65.8132 images/s [03/18 10:14:16] ppdet.engine INFO: Epoch: [146] [ 60/523] learning_rate: 0.146126 loss_vfl: 1.067306 loss_bbox: 0.473882 loss_dfl: 0.430844 loss: 1.974667 eta: 20:45:18 batch_cost: 0.8731 data_cost: 0.0041 ips: 64.1392 images/s [03/18 10:14:36] ppdet.engine INFO: Epoch: [146] [ 80/523] learning_rate: 0.146070 loss_vfl: 1.041461 loss_bbox: 0.466413 loss_dfl: 0.425668 loss: 1.930906 eta: 20:44:57 batch_cost: 0.7948 data_cost: 0.0047 ips: 70.4612 images/s [03/18 10:15:01] ppdet.engine INFO: Epoch: [146] [100/523] learning_rate: 0.146014 loss_vfl: 1.034038 loss_bbox: 0.460341 loss_dfl: 0.434733 loss: 1.952854 eta: 20:44:41 batch_cost: 1.0814 data_cost: 0.0038 ips: 51.7869 images/s [03/18 10:15:24] ppdet.engine INFO: Epoch: [146] [120/523] learning_rate: 0.145958 loss_vfl: 1.047988 loss_bbox: 0.488095 loss_dfl: 0.435019 loss: 1.967346 eta: 20:44:24 batch_cost: 0.9821 data_cost: 0.1793 ips: 57.0185 images/s [03/18 10:15:44] ppdet.engine INFO: Epoch: [146] [140/523] learning_rate: 0.145902 loss_vfl: 0.997146 loss_bbox: 0.451733 loss_dfl: 0.422760 loss: 1.852359 eta: 20:44:04 batch_cost: 0.8742 data_cost: 0.0365 ips: 64.0607 images/s [03/18 10:16:07] ppdet.engine INFO: Epoch: [146] [160/523] learning_rate: 0.145846 loss_vfl: 1.032371 loss_bbox: 0.462599 loss_dfl: 0.434519 loss: 1.942664 eta: 20:43:45 batch_cost: 0.9040 data_cost: 0.1289 ips: 61.9467 images/s [03/18 10:16:28] ppdet.engine INFO: Epoch: [146] [180/523] learning_rate: 0.145790 loss_vfl: 1.097956 loss_bbox: 0.473055 loss_dfl: 0.442239 loss: 2.019269 eta: 20:43:25 batch_cost: 0.8534 data_cost: 0.1400 ips: 65.6207 images/s [03/18 10:16:52] ppdet.engine INFO: Epoch: [146] [200/523] learning_rate: 0.145734 loss_vfl: 1.063090 loss_bbox: 0.481064 loss_dfl: 0.440309 loss: 1.928704 eta: 20:43:08 batch_cost: 0.9867 data_cost: 0.1792 ips: 56.7566 images/s [03/18 10:17:13] ppdet.engine INFO: Epoch: [146] [220/523] learning_rate: 0.145677 loss_vfl: 1.080832 loss_bbox: 0.473488 loss_dfl: 0.438683 loss: 1.985851 eta: 20:42:47 batch_cost: 0.8219 data_cost: 0.1378 ips: 68.1320 images/s [03/18 10:17:34] ppdet.engine INFO: Epoch: [146] [240/523] learning_rate: 0.145621 loss_vfl: 1.069975 loss_bbox: 0.453394 loss_dfl: 0.435990 loss: 1.970086 eta: 20:42:27 batch_cost: 0.8790 data_cost: 0.0371 ips: 63.7057 images/s [03/18 10:17:55] ppdet.engine INFO: Epoch: [146] [260/523] learning_rate: 0.145565 loss_vfl: 1.073760 loss_bbox: 0.484837 loss_dfl: 0.439490 loss: 2.014871 eta: 20:42:09 batch_cost: 0.9270 data_cost: 0.1611 ips: 60.4074 images/s [03/18 10:18:15] ppdet.engine INFO: Epoch: [146] [280/523] learning_rate: 0.145509 loss_vfl: 1.071784 loss_bbox: 0.491170 loss_dfl: 0.445517 loss: 2.017724 eta: 20:41:50 batch_cost: 0.9101 data_cost: 0.1953 ips: 61.5337 images/s [03/18 10:18:34] ppdet.engine INFO: Epoch: [146] [300/523] learning_rate: 0.145453 loss_vfl: 1.113320 loss_bbox: 0.485204 loss_dfl: 0.461292 loss: 2.058792 eta: 20:41:28 batch_cost: 0.7819 data_cost: 0.0065 ips: 71.6201 images/s [03/18 10:18:55] ppdet.engine INFO: Epoch: [146] [320/523] learning_rate: 0.145397 loss_vfl: 1.047436 loss_bbox: 0.440512 loss_dfl: 0.419322 loss: 1.906299 eta: 20:41:09 batch_cost: 0.8988 data_cost: 0.0220 ips: 62.3056 images/s [03/18 10:19:17] ppdet.engine INFO: Epoch: [146] [340/523] learning_rate: 0.145341 loss_vfl: 0.976987 loss_bbox: 0.439886 loss_dfl: 0.413879 loss: 1.846890 eta: 20:40:49 batch_cost: 0.8923 data_cost: 0.0042 ips: 62.7592 images/s [03/18 10:19:38] ppdet.engine INFO: Epoch: [146] [360/523] learning_rate: 0.145284 loss_vfl: 1.068770 loss_bbox: 0.458554 loss_dfl: 0.441198 loss: 1.975517 eta: 20:40:31 batch_cost: 0.9141 data_cost: 0.0125 ips: 61.2640 images/s [03/18 10:20:00] ppdet.engine INFO: Epoch: [146] [380/523] learning_rate: 0.145228 loss_vfl: 1.094141 loss_bbox: 0.483270 loss_dfl: 0.462575 loss: 2.064403 eta: 20:40:12 batch_cost: 0.9164 data_cost: 0.2378 ips: 61.1063 images/s [03/18 10:20:22] ppdet.engine INFO: Epoch: [146] [400/523] learning_rate: 0.145172 loss_vfl: 1.100645 loss_bbox: 0.480551 loss_dfl: 0.440308 loss: 2.049885 eta: 20:39:54 batch_cost: 0.9647 data_cost: 0.3320 ips: 58.0494 images/s [03/18 10:20:44] ppdet.engine INFO: Epoch: [146] [420/523] learning_rate: 0.145116 loss_vfl: 0.970434 loss_bbox: 0.416174 loss_dfl: 0.392656 loss: 1.779880 eta: 20:39:34 batch_cost: 0.8819 data_cost: 0.1388 ips: 63.5007 images/s [03/18 10:21:05] ppdet.engine INFO: Epoch: [146] [440/523] learning_rate: 0.145060 loss_vfl: 1.013614 loss_bbox: 0.443449 loss_dfl: 0.415197 loss: 1.868506 eta: 20:39:16 batch_cost: 0.9326 data_cost: 0.1066 ips: 60.0478 images/s [03/18 10:21:28] ppdet.engine INFO: Epoch: [146] [460/523] learning_rate: 0.145004 loss_vfl: 1.019892 loss_bbox: 0.471035 loss_dfl: 0.430523 loss: 1.914271 eta: 20:39:00 batch_cost: 1.0484 data_cost: 0.1385 ips: 53.4128 images/s [03/18 10:21:50] ppdet.engine INFO: Epoch: [146] [480/523] learning_rate: 0.144948 loss_vfl: 1.053438 loss_bbox: 0.462918 loss_dfl: 0.424287 loss: 1.917292 eta: 20:38:41 batch_cost: 0.9193 data_cost: 0.0791 ips: 60.9138 images/s [03/18 10:22:12] ppdet.engine INFO: Epoch: [146] [500/523] learning_rate: 0.144892 loss_vfl: 1.039353 loss_bbox: 0.457210 loss_dfl: 0.441285 loss: 1.905460 eta: 20:38:23 batch_cost: 0.9611 data_cost: 0.2394 ips: 58.2663 images/s [03/18 10:22:30] ppdet.engine INFO: Epoch: [146] [520/523] learning_rate: 0.144835 loss_vfl: 1.097791 loss_bbox: 0.504704 loss_dfl: 0.448928 loss: 2.047386 eta: 20:38:00 batch_cost: 0.7217 data_cost: 0.1241 ips: 77.5925 images/s [03/18 10:22:42] ppdet.engine INFO: Epoch: [147] [ 0/523] learning_rate: 0.144827 loss_vfl: 1.048860 loss_bbox: 0.473714 loss_dfl: 0.426574 loss: 1.947920 eta: 20:38:06 batch_cost: 1.0478 data_cost: 0.4800 ips: 53.4464 images/s [03/18 10:23:02] ppdet.engine INFO: Epoch: [147] [ 20/523] learning_rate: 0.144771 loss_vfl: 1.074428 loss_bbox: 0.443782 loss_dfl: 0.425615 loss: 1.939902 eta: 20:37:44 batch_cost: 0.7775 data_cost: 0.0054 ips: 72.0296 images/s [03/18 10:23:21] ppdet.engine INFO: Epoch: [147] [ 40/523] learning_rate: 0.144715 loss_vfl: 1.019336 loss_bbox: 0.431581 loss_dfl: 0.406699 loss: 1.845906 eta: 20:37:23 batch_cost: 0.7895 data_cost: 0.0050 ips: 70.9284 images/s [03/18 10:23:46] ppdet.engine INFO: Epoch: [147] [ 60/523] learning_rate: 0.144659 loss_vfl: 1.058781 loss_bbox: 0.471658 loss_dfl: 0.433125 loss: 1.966074 eta: 20:37:07 batch_cost: 1.0456 data_cost: 0.0039 ips: 53.5585 images/s [03/18 10:24:09] ppdet.engine INFO: Epoch: [147] [ 80/523] learning_rate: 0.144602 loss_vfl: 0.994528 loss_bbox: 0.459838 loss_dfl: 0.419402 loss: 1.864092 eta: 20:36:49 batch_cost: 0.9621 data_cost: 0.0029 ips: 58.2071 images/s [03/18 10:24:36] ppdet.engine INFO: Epoch: [147] [100/523] learning_rate: 0.144546 loss_vfl: 1.059252 loss_bbox: 0.456752 loss_dfl: 0.421767 loss: 1.923290 eta: 20:36:36 batch_cost: 1.2250 data_cost: 0.0074 ips: 45.7126 images/s [03/18 10:24:57] ppdet.engine INFO: Epoch: [147] [120/523] learning_rate: 0.144490 loss_vfl: 1.054187 loss_bbox: 0.491265 loss_dfl: 0.437448 loss: 1.997371 eta: 20:36:17 batch_cost: 0.8865 data_cost: 0.0052 ips: 63.1707 images/s [03/18 10:25:22] ppdet.engine INFO: Epoch: [147] [140/523] learning_rate: 0.144434 loss_vfl: 1.054734 loss_bbox: 0.458889 loss_dfl: 0.433924 loss: 1.968508 eta: 20:36:00 batch_cost: 1.0136 data_cost: 0.0106 ips: 55.2475 images/s [03/18 10:25:46] ppdet.engine INFO: Epoch: [147] [160/523] learning_rate: 0.144378 loss_vfl: 1.040240 loss_bbox: 0.466441 loss_dfl: 0.440862 loss: 1.958132 eta: 20:35:44 batch_cost: 1.0474 data_cost: 0.0043 ips: 53.4653 images/s [03/18 10:26:07] ppdet.engine INFO: Epoch: [147] [180/523] learning_rate: 0.144322 loss_vfl: 1.053837 loss_bbox: 0.454760 loss_dfl: 0.433852 loss: 1.958626 eta: 20:35:25 batch_cost: 0.9082 data_cost: 0.0100 ips: 61.6620 images/s [03/18 10:26:30] ppdet.engine INFO: Epoch: [147] [200/523] learning_rate: 0.144266 loss_vfl: 1.075681 loss_bbox: 0.458917 loss_dfl: 0.453390 loss: 2.021953 eta: 20:35:06 batch_cost: 0.9194 data_cost: 0.1623 ips: 60.9080 images/s [03/18 10:26:55] ppdet.engine INFO: Epoch: [147] [220/523] learning_rate: 0.144209 loss_vfl: 1.130980 loss_bbox: 0.506875 loss_dfl: 0.467112 loss: 2.112577 eta: 20:34:50 batch_cost: 1.0575 data_cost: 0.0167 ips: 52.9567 images/s [03/18 10:27:13] ppdet.engine INFO: Epoch: [147] [240/523] learning_rate: 0.144153 loss_vfl: 1.055651 loss_bbox: 0.479163 loss_dfl: 0.443453 loss: 1.989612 eta: 20:34:29 batch_cost: 0.7861 data_cost: 0.0035 ips: 71.2373 images/s [03/18 10:27:32] ppdet.engine INFO: Epoch: [147] [260/523] learning_rate: 0.144097 loss_vfl: 1.048898 loss_bbox: 0.460779 loss_dfl: 0.429302 loss: 1.943498 eta: 20:34:09 batch_cost: 0.8551 data_cost: 0.0027 ips: 65.4876 images/s [03/18 10:27:55] ppdet.engine INFO: Epoch: [147] [280/523] learning_rate: 0.144041 loss_vfl: 1.063411 loss_bbox: 0.471089 loss_dfl: 0.449311 loss: 1.992676 eta: 20:33:50 batch_cost: 0.9319 data_cost: 0.0148 ips: 60.0937 images/s [03/18 10:28:19] ppdet.engine INFO: Epoch: [147] [300/523] learning_rate: 0.143985 loss_vfl: 1.165507 loss_bbox: 0.539165 loss_dfl: 0.488208 loss: 2.179575 eta: 20:33:34 batch_cost: 1.0410 data_cost: 0.0810 ips: 53.7939 images/s [03/18 10:28:41] ppdet.engine INFO: Epoch: [147] [320/523] learning_rate: 0.143929 loss_vfl: 1.035460 loss_bbox: 0.432517 loss_dfl: 0.430674 loss: 1.938178 eta: 20:33:13 batch_cost: 0.8174 data_cost: 0.0037 ips: 68.5124 images/s [03/18 10:29:02] ppdet.engine INFO: Epoch: [147] [340/523] learning_rate: 0.143873 loss_vfl: 1.072585 loss_bbox: 0.472333 loss_dfl: 0.445182 loss: 1.973419 eta: 20:32:52 batch_cost: 0.8220 data_cost: 0.0128 ips: 68.1298 images/s [03/18 10:29:29] ppdet.engine INFO: Epoch: [147] [360/523] learning_rate: 0.143816 loss_vfl: 1.066158 loss_bbox: 0.461466 loss_dfl: 0.433191 loss: 1.958451 eta: 20:32:37 batch_cost: 1.0625 data_cost: 0.0323 ips: 52.7074 images/s [03/18 10:29:52] ppdet.engine INFO: Epoch: [147] [380/523] learning_rate: 0.143760 loss_vfl: 1.105438 loss_bbox: 0.486209 loss_dfl: 0.450014 loss: 2.048192 eta: 20:32:19 batch_cost: 1.0009 data_cost: 0.0049 ips: 55.9474 images/s [03/18 10:30:13] ppdet.engine INFO: Epoch: [147] [400/523] learning_rate: 0.143704 loss_vfl: 1.068816 loss_bbox: 0.477498 loss_dfl: 0.452994 loss: 1.998844 eta: 20:31:59 batch_cost: 0.8473 data_cost: 0.0880 ips: 66.0906 images/s [03/18 10:30:37] ppdet.engine INFO: Epoch: [147] [420/523] learning_rate: 0.143648 loss_vfl: 1.101605 loss_bbox: 0.491353 loss_dfl: 0.452932 loss: 2.027027 eta: 20:31:41 batch_cost: 0.9463 data_cost: 0.1531 ips: 59.1774 images/s [03/18 10:31:00] ppdet.engine INFO: Epoch: [147] [440/523] learning_rate: 0.143592 loss_vfl: 1.005950 loss_bbox: 0.436338 loss_dfl: 0.401169 loss: 1.847971 eta: 20:31:23 batch_cost: 0.9394 data_cost: 0.0050 ips: 59.6122 images/s [03/18 10:31:21] ppdet.engine INFO: Epoch: [147] [460/523] learning_rate: 0.143536 loss_vfl: 1.025562 loss_bbox: 0.446342 loss_dfl: 0.423258 loss: 1.890266 eta: 20:31:03 batch_cost: 0.8842 data_cost: 0.0031 ips: 63.3315 images/s [03/18 10:31:40] ppdet.engine INFO: Epoch: [147] [480/523] learning_rate: 0.143479 loss_vfl: 1.010590 loss_bbox: 0.420624 loss_dfl: 0.406840 loss: 1.823665 eta: 20:30:42 batch_cost: 0.8019 data_cost: 0.0055 ips: 69.8366 images/s [03/18 10:32:01] ppdet.engine INFO: Epoch: [147] [500/523] learning_rate: 0.143423 loss_vfl: 1.104215 loss_bbox: 0.483681 loss_dfl: 0.445821 loss: 2.044584 eta: 20:30:21 batch_cost: 0.8301 data_cost: 0.0011 ips: 67.4647 images/s [03/18 10:32:18] ppdet.engine INFO: Epoch: [147] [520/523] learning_rate: 0.143367 loss_vfl: 1.006231 loss_bbox: 0.454746 loss_dfl: 0.414133 loss: 1.853847 eta: 20:29:59 batch_cost: 0.7378 data_cost: 0.0030 ips: 75.8993 images/s [03/18 10:32:32] ppdet.engine INFO: Epoch: [148] [ 0/523] learning_rate: 0.143359 loss_vfl: 1.023637 loss_bbox: 0.453995 loss_dfl: 0.424850 loss: 1.917941 eta: 20:30:07 batch_cost: 1.2817 data_cost: 0.4346 ips: 43.6907 images/s [03/18 10:32:55] ppdet.engine INFO: Epoch: [148] [ 20/523] learning_rate: 0.143303 loss_vfl: 1.120155 loss_bbox: 0.504706 loss_dfl: 0.458714 loss: 2.072188 eta: 20:29:46 batch_cost: 0.8041 data_cost: 0.0046 ips: 69.6414 images/s [03/18 10:33:19] ppdet.engine INFO: Epoch: [148] [ 40/523] learning_rate: 0.143246 loss_vfl: 1.084131 loss_bbox: 0.484102 loss_dfl: 0.445839 loss: 2.020892 eta: 20:29:29 batch_cost: 1.0233 data_cost: 0.0906 ips: 54.7256 images/s [03/18 10:33:43] ppdet.engine INFO: Epoch: [148] [ 60/523] learning_rate: 0.143190 loss_vfl: 1.041356 loss_bbox: 0.473548 loss_dfl: 0.443290 loss: 1.994258 eta: 20:29:13 batch_cost: 1.0820 data_cost: 0.1932 ips: 51.7574 images/s [03/18 10:34:06] ppdet.engine INFO: Epoch: [148] [ 80/523] learning_rate: 0.143134 loss_vfl: 1.074975 loss_bbox: 0.495299 loss_dfl: 0.458131 loss: 2.013443 eta: 20:28:55 batch_cost: 0.9494 data_cost: 0.0871 ips: 58.9857 images/s [03/18 10:34:34] ppdet.engine INFO: Epoch: [148] [100/523] learning_rate: 0.143078 loss_vfl: 1.061238 loss_bbox: 0.469319 loss_dfl: 0.429174 loss: 1.927346 eta: 20:28:43 batch_cost: 1.2292 data_cost: 0.3270 ips: 45.5591 images/s [03/18 10:34:58] ppdet.engine INFO: Epoch: [148] [120/523] learning_rate: 0.143022 loss_vfl: 1.069946 loss_bbox: 0.468869 loss_dfl: 0.445698 loss: 1.952041 eta: 20:28:25 batch_cost: 0.9672 data_cost: 0.0101 ips: 57.9007 images/s [03/18 10:35:17] ppdet.engine INFO: Epoch: [148] [140/523] learning_rate: 0.142966 loss_vfl: 1.033420 loss_bbox: 0.457313 loss_dfl: 0.429039 loss: 1.918562 eta: 20:28:05 batch_cost: 0.8348 data_cost: 0.0053 ips: 67.0800 images/s [03/18 10:35:40] ppdet.engine INFO: Epoch: [148] [160/523] learning_rate: 0.142909 loss_vfl: 1.042239 loss_bbox: 0.456129 loss_dfl: 0.422911 loss: 1.905427 eta: 20:27:47 batch_cost: 0.9643 data_cost: 0.2368 ips: 58.0754 images/s [03/18 10:36:03] ppdet.engine INFO: Epoch: [148] [180/523] learning_rate: 0.142853 loss_vfl: 1.073665 loss_bbox: 0.490086 loss_dfl: 0.460282 loss: 2.017847 eta: 20:27:28 batch_cost: 0.9084 data_cost: 0.0099 ips: 61.6437 images/s [03/18 10:36:22] ppdet.engine INFO: Epoch: [148] [200/523] learning_rate: 0.142797 loss_vfl: 1.072908 loss_bbox: 0.483493 loss_dfl: 0.441356 loss: 1.979234 eta: 20:27:07 batch_cost: 0.8054 data_cost: 0.0051 ips: 69.5272 images/s [03/18 10:36:44] ppdet.engine INFO: Epoch: [148] [220/523] learning_rate: 0.142741 loss_vfl: 1.058231 loss_bbox: 0.466646 loss_dfl: 0.429044 loss: 1.946314 eta: 20:26:49 batch_cost: 0.9788 data_cost: 0.0101 ips: 57.2156 images/s [03/18 10:37:05] ppdet.engine INFO: Epoch: [148] [240/523] learning_rate: 0.142685 loss_vfl: 1.032467 loss_bbox: 0.473318 loss_dfl: 0.433728 loss: 1.947264 eta: 20:26:30 batch_cost: 0.8832 data_cost: 0.0611 ips: 63.4038 images/s [03/18 10:37:29] ppdet.engine INFO: Epoch: [148] [260/523] learning_rate: 0.142629 loss_vfl: 1.011440 loss_bbox: 0.456694 loss_dfl: 0.419073 loss: 1.895055 eta: 20:26:14 batch_cost: 1.0721 data_cost: 0.0644 ips: 52.2357 images/s [03/18 10:37:55] ppdet.engine INFO: Epoch: [148] [280/523] learning_rate: 0.142573 loss_vfl: 1.010149 loss_bbox: 0.455657 loss_dfl: 0.418062 loss: 1.916810 eta: 20:25:58 batch_cost: 1.0284 data_cost: 0.0854 ips: 54.4553 images/s [03/18 10:38:19] ppdet.engine INFO: Epoch: [148] [300/523] learning_rate: 0.142516 loss_vfl: 1.029377 loss_bbox: 0.461527 loss_dfl: 0.430829 loss: 1.918222 eta: 20:25:40 batch_cost: 0.9949 data_cost: 0.2642 ips: 56.2896 images/s [03/18 10:38:43] ppdet.engine INFO: Epoch: [148] [320/523] learning_rate: 0.142460 loss_vfl: 0.978530 loss_bbox: 0.437806 loss_dfl: 0.404652 loss: 1.809891 eta: 20:25:25 batch_cost: 1.0900 data_cost: 0.3045 ips: 51.3767 images/s [03/18 10:39:04] ppdet.engine INFO: Epoch: [148] [340/523] learning_rate: 0.142404 loss_vfl: 1.097978 loss_bbox: 0.481340 loss_dfl: 0.446339 loss: 2.005133 eta: 20:25:06 batch_cost: 0.9175 data_cost: 0.1415 ips: 61.0344 images/s [03/18 10:39:27] ppdet.engine INFO: Epoch: [148] [360/523] learning_rate: 0.142348 loss_vfl: 1.080459 loss_bbox: 0.479519 loss_dfl: 0.455382 loss: 2.053627 eta: 20:24:49 batch_cost: 0.9779 data_cost: 0.1173 ips: 57.2648 images/s [03/18 10:39:53] ppdet.engine INFO: Epoch: [148] [380/523] learning_rate: 0.142292 loss_vfl: 0.984172 loss_bbox: 0.432679 loss_dfl: 0.402360 loss: 1.815931 eta: 20:24:33 batch_cost: 1.0780 data_cost: 0.4002 ips: 51.9480 images/s [03/18 10:40:16] ppdet.engine INFO: Epoch: [148] [400/523] learning_rate: 0.142236 loss_vfl: 1.120834 loss_bbox: 0.494014 loss_dfl: 0.457965 loss: 2.079436 eta: 20:24:16 batch_cost: 0.9986 data_cost: 0.1122 ips: 56.0759 images/s [03/18 10:40:33] ppdet.engine INFO: Epoch: [148] [420/523] learning_rate: 0.142179 loss_vfl: 1.067931 loss_bbox: 0.481042 loss_dfl: 0.437824 loss: 1.968794 eta: 20:23:54 batch_cost: 0.7470 data_cost: 0.0355 ips: 74.9640 images/s [03/18 10:40:53] ppdet.engine INFO: Epoch: [148] [440/523] learning_rate: 0.142123 loss_vfl: 1.027936 loss_bbox: 0.434277 loss_dfl: 0.418833 loss: 1.852086 eta: 20:23:33 batch_cost: 0.8267 data_cost: 0.0285 ips: 67.7395 images/s [03/18 10:41:18] ppdet.engine INFO: Epoch: [148] [460/523] learning_rate: 0.142067 loss_vfl: 1.084335 loss_bbox: 0.473566 loss_dfl: 0.450718 loss: 2.027119 eta: 20:23:16 batch_cost: 1.0113 data_cost: 0.2528 ips: 55.3765 images/s [03/18 10:41:39] ppdet.engine INFO: Epoch: [148] [480/523] learning_rate: 0.142011 loss_vfl: 1.059038 loss_bbox: 0.466740 loss_dfl: 0.438374 loss: 1.970597 eta: 20:22:58 batch_cost: 0.9426 data_cost: 0.1825 ips: 59.4116 images/s [03/18 10:42:02] ppdet.engine INFO: Epoch: [148] [500/523] learning_rate: 0.141955 loss_vfl: 1.061200 loss_bbox: 0.474132 loss_dfl: 0.439833 loss: 1.976512 eta: 20:22:40 batch_cost: 0.9683 data_cost: 0.0447 ips: 57.8315 images/s [03/18 10:42:22] ppdet.engine INFO: Epoch: [148] [520/523] learning_rate: 0.141899 loss_vfl: 1.098328 loss_bbox: 0.475791 loss_dfl: 0.449043 loss: 2.041030 eta: 20:22:19 batch_cost: 0.7954 data_cost: 0.1073 ips: 70.4009 images/s [03/18 10:42:35] ppdet.engine INFO: Epoch: [149] [ 0/523] learning_rate: 0.141890 loss_vfl: 1.089465 loss_bbox: 0.482556 loss_dfl: 0.448203 loss: 2.041030 eta: 20:22:25 batch_cost: 1.2305 data_cost: 0.6295 ips: 45.5104 images/s [03/18 10:42:57] ppdet.engine INFO: Epoch: [149] [ 20/523] learning_rate: 0.141834 loss_vfl: 1.025975 loss_bbox: 0.451731 loss_dfl: 0.424911 loss: 1.902299 eta: 20:22:06 batch_cost: 0.8716 data_cost: 0.0082 ips: 64.2508 images/s [03/18 10:43:23] ppdet.engine INFO: Epoch: [149] [ 40/523] learning_rate: 0.141778 loss_vfl: 1.008290 loss_bbox: 0.426688 loss_dfl: 0.407518 loss: 1.862179 eta: 20:21:52 batch_cost: 1.1536 data_cost: 0.3347 ips: 48.5457 images/s [03/18 10:43:47] ppdet.engine INFO: Epoch: [149] [ 60/523] learning_rate: 0.141722 loss_vfl: 1.085177 loss_bbox: 0.496132 loss_dfl: 0.457284 loss: 2.068878 eta: 20:21:34 batch_cost: 0.9561 data_cost: 0.2156 ips: 58.5737 images/s [03/18 10:44:10] ppdet.engine INFO: Epoch: [149] [ 80/523] learning_rate: 0.141665 loss_vfl: 1.039834 loss_bbox: 0.435916 loss_dfl: 0.409585 loss: 1.898173 eta: 20:21:15 batch_cost: 0.9094 data_cost: 0.1170 ips: 61.5774 images/s [03/18 10:44:35] ppdet.engine INFO: Epoch: [149] [100/523] learning_rate: 0.141609 loss_vfl: 1.075772 loss_bbox: 0.478839 loss_dfl: 0.446337 loss: 2.039783 eta: 20:20:59 batch_cost: 1.0747 data_cost: 0.0397 ips: 52.1061 images/s [03/18 10:44:56] ppdet.engine INFO: Epoch: [149] [120/523] learning_rate: 0.141553 loss_vfl: 1.091553 loss_bbox: 0.471783 loss_dfl: 0.457628 loss: 2.046173 eta: 20:20:40 batch_cost: 0.9119 data_cost: 0.1631 ips: 61.4118 images/s [03/18 10:45:14] ppdet.engine INFO: Epoch: [149] [140/523] learning_rate: 0.141497 loss_vfl: 1.089571 loss_bbox: 0.499135 loss_dfl: 0.445780 loss: 2.025672 eta: 20:20:15 batch_cost: 0.6115 data_cost: 0.0336 ips: 91.5805 images/s [03/18 10:45:38] ppdet.engine INFO: Epoch: [149] [160/523] learning_rate: 0.141441 loss_vfl: 1.082724 loss_bbox: 0.494755 loss_dfl: 0.447297 loss: 2.022695 eta: 20:19:59 batch_cost: 1.0590 data_cost: 0.2696 ips: 52.8823 images/s [03/18 10:46:02] ppdet.engine INFO: Epoch: [149] [180/523] learning_rate: 0.141385 loss_vfl: 1.044033 loss_bbox: 0.442952 loss_dfl: 0.433467 loss: 1.935814 eta: 20:19:43 batch_cost: 1.0340 data_cost: 0.3264 ips: 54.1601 images/s [03/18 10:46:28] ppdet.engine INFO: Epoch: [149] [200/523] learning_rate: 0.141328 loss_vfl: 1.049819 loss_bbox: 0.450429 loss_dfl: 0.417268 loss: 1.904467 eta: 20:19:29 batch_cost: 1.1601 data_cost: 0.3065 ips: 48.2707 images/s [03/18 10:46:50] ppdet.engine INFO: Epoch: [149] [220/523] learning_rate: 0.141272 loss_vfl: 1.061090 loss_bbox: 0.477015 loss_dfl: 0.441566 loss: 1.967038 eta: 20:19:12 batch_cost: 0.9917 data_cost: 0.2772 ips: 56.4667 images/s [03/18 10:47:14] ppdet.engine INFO: Epoch: [149] [240/523] learning_rate: 0.141216 loss_vfl: 1.035153 loss_bbox: 0.459744 loss_dfl: 0.437712 loss: 1.936627 eta: 20:18:55 batch_cost: 1.0408 data_cost: 0.2481 ips: 53.8036 images/s [03/18 10:47:39] ppdet.engine INFO: Epoch: [149] [260/523] learning_rate: 0.141160 loss_vfl: 1.041424 loss_bbox: 0.462030 loss_dfl: 0.428184 loss: 1.895931 eta: 20:18:39 batch_cost: 1.0467 data_cost: 0.2842 ips: 53.5029 images/s [03/18 10:48:01] ppdet.engine INFO: Epoch: [149] [280/523] learning_rate: 0.141104 loss_vfl: 1.037296 loss_bbox: 0.459737 loss_dfl: 0.420914 loss: 1.893002 eta: 20:18:22 batch_cost: 0.9992 data_cost: 0.2920 ips: 56.0472 images/s [03/18 10:48:24] ppdet.engine INFO: Epoch: [149] [300/523] learning_rate: 0.141048 loss_vfl: 1.108204 loss_bbox: 0.496957 loss_dfl: 0.464020 loss: 2.095699 eta: 20:18:05 batch_cost: 1.0031 data_cost: 0.1266 ips: 55.8245 images/s [03/18 10:48:50] ppdet.engine INFO: Epoch: [149] [320/523] learning_rate: 0.140991 loss_vfl: 1.048399 loss_bbox: 0.466226 loss_dfl: 0.427815 loss: 1.927537 eta: 20:17:49 batch_cost: 1.0739 data_cost: 0.1166 ips: 52.1486 images/s [03/18 10:49:12] ppdet.engine INFO: Epoch: [149] [340/523] learning_rate: 0.140935 loss_vfl: 0.991571 loss_bbox: 0.425629 loss_dfl: 0.408837 loss: 1.845017 eta: 20:17:30 batch_cost: 0.8949 data_cost: 0.0057 ips: 62.5778 images/s [03/18 10:49:29] ppdet.engine INFO: Epoch: [149] [360/523] learning_rate: 0.140879 loss_vfl: 1.056048 loss_bbox: 0.461473 loss_dfl: 0.439477 loss: 1.961982 eta: 20:17:06 batch_cost: 0.6902 data_cost: 0.0043 ips: 81.1332 images/s [03/18 10:49:50] ppdet.engine INFO: Epoch: [149] [380/523] learning_rate: 0.140823 loss_vfl: 1.076048 loss_bbox: 0.489711 loss_dfl: 0.447689 loss: 2.005939 eta: 20:16:48 batch_cost: 0.9254 data_cost: 0.1805 ips: 60.5161 images/s [03/18 10:50:14] ppdet.engine INFO: Epoch: [149] [400/523] learning_rate: 0.140767 loss_vfl: 1.064811 loss_bbox: 0.470040 loss_dfl: 0.437806 loss: 1.991354 eta: 20:16:30 batch_cost: 0.9800 data_cost: 0.1795 ips: 57.1437 images/s [03/18 10:50:38] ppdet.engine INFO: Epoch: [149] [420/523] learning_rate: 0.140711 loss_vfl: 1.119866 loss_bbox: 0.480934 loss_dfl: 0.446605 loss: 2.069370 eta: 20:16:15 batch_cost: 1.1037 data_cost: 0.3043 ips: 50.7390 images/s [03/18 10:51:04] ppdet.engine INFO: Epoch: [149] [440/523] learning_rate: 0.140654 loss_vfl: 1.014868 loss_bbox: 0.434292 loss_dfl: 0.400287 loss: 1.883395 eta: 20:15:59 batch_cost: 1.0612 data_cost: 0.3021 ips: 52.7729 images/s [03/18 10:51:25] ppdet.engine INFO: Epoch: [149] [460/523] learning_rate: 0.140598 loss_vfl: 0.990437 loss_bbox: 0.423279 loss_dfl: 0.408759 loss: 1.835964 eta: 20:15:40 batch_cost: 0.8797 data_cost: 0.1865 ips: 63.6605 images/s [03/18 10:51:45] ppdet.engine INFO: Epoch: [149] [480/523] learning_rate: 0.140542 loss_vfl: 1.057361 loss_bbox: 0.480944 loss_dfl: 0.442224 loss: 1.981176 eta: 20:15:20 batch_cost: 0.8705 data_cost: 0.0301 ips: 64.3320 images/s [03/18 10:52:11] ppdet.engine INFO: Epoch: [149] [500/523] learning_rate: 0.140486 loss_vfl: 1.023264 loss_bbox: 0.437770 loss_dfl: 0.416392 loss: 1.870466 eta: 20:15:07 batch_cost: 1.1861 data_cost: 0.3834 ips: 47.2127 images/s [03/18 10:52:30] ppdet.engine INFO: Epoch: [149] [520/523] learning_rate: 0.140430 loss_vfl: 1.053979 loss_bbox: 0.459342 loss_dfl: 0.436759 loss: 1.943409 eta: 20:14:45 batch_cost: 0.7922 data_cost: 0.1486 ips: 70.6859 images/s [03/18 10:52:32] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 10:52:33] ppdet.engine INFO: Eval iter: 0 [03/18 10:52:57] ppdet.engine INFO: Eval iter: 100 [03/18 10:53:07] ppdet.engine INFO: Eval iter: 200 [03/18 10:53:17] ppdet.engine INFO: Eval iter: 300 [03/18 10:53:27] ppdet.engine INFO: Eval iter: 400 [03/18 10:53:36] ppdet.engine INFO: Eval iter: 500 [03/18 10:53:45] ppdet.engine INFO: Eval iter: 600 [03/18 10:54:00] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.61s) creating index... index created! [03/18 10:54:00] 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=82.96s). Accumulating evaluation results... DONE (t=16.15s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.233 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.353 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.246 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.076 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.236 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.388 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.242 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.394 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.419 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.145 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.461 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.671 [03/18 10:55:46] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.64438278488078 [03/18 10:55:46] ppdet.engine INFO: Best test bbox ap is 0.233. [03/18 10:55:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 10:55:47] ppdet.engine INFO: Epoch: [150] [ 0/523] learning_rate: 0.140421 loss_vfl: 1.049733 loss_bbox: 0.457890 loss_dfl: 0.433025 loss: 1.938174 eta: 20:14:40 batch_cost: 0.6976 data_cost: 0.1415 ips: 80.2770 images/s [03/18 10:56:06] ppdet.engine INFO: Epoch: [150] [ 20/523] learning_rate: 0.140365 loss_vfl: 1.096188 loss_bbox: 0.505695 loss_dfl: 0.453933 loss: 2.067394 eta: 20:14:20 batch_cost: 0.8210 data_cost: 0.0052 ips: 68.2058 images/s [03/18 10:56:31] ppdet.engine INFO: Epoch: [150] [ 40/523] learning_rate: 0.140309 loss_vfl: 1.012299 loss_bbox: 0.468787 loss_dfl: 0.422129 loss: 1.903738 eta: 20:14:03 batch_cost: 1.0322 data_cost: 0.0099 ips: 54.2556 images/s [03/18 10:56:55] ppdet.engine INFO: Epoch: [150] [ 60/523] learning_rate: 0.140253 loss_vfl: 1.035838 loss_bbox: 0.471339 loss_dfl: 0.433331 loss: 1.936626 eta: 20:13:46 batch_cost: 1.0085 data_cost: 0.1740 ips: 55.5288 images/s [03/18 10:57:19] ppdet.engine INFO: Epoch: [150] [ 80/523] learning_rate: 0.140197 loss_vfl: 1.056035 loss_bbox: 0.447479 loss_dfl: 0.427491 loss: 1.919795 eta: 20:13:29 batch_cost: 0.9804 data_cost: 0.3306 ips: 57.1195 images/s [03/18 10:57:41] ppdet.engine INFO: Epoch: [150] [100/523] learning_rate: 0.140140 loss_vfl: 1.059689 loss_bbox: 0.484042 loss_dfl: 0.445961 loss: 2.008392 eta: 20:13:11 batch_cost: 0.9837 data_cost: 0.2001 ips: 56.9251 images/s [03/18 10:57:59] ppdet.engine INFO: Epoch: [150] [120/523] learning_rate: 0.140084 loss_vfl: 1.050522 loss_bbox: 0.470767 loss_dfl: 0.428497 loss: 1.941598 eta: 20:12:47 batch_cost: 0.6631 data_cost: 0.0041 ips: 84.4521 images/s [03/18 10:58:22] ppdet.engine INFO: Epoch: [150] [140/523] learning_rate: 0.140028 loss_vfl: 1.077580 loss_bbox: 0.480903 loss_dfl: 0.445198 loss: 1.998688 eta: 20:12:29 batch_cost: 0.9271 data_cost: 0.2819 ips: 60.4026 images/s [03/18 10:58:45] ppdet.engine INFO: Epoch: [150] [160/523] learning_rate: 0.139972 loss_vfl: 1.041759 loss_bbox: 0.445780 loss_dfl: 0.420588 loss: 1.885080 eta: 20:12:10 batch_cost: 0.9451 data_cost: 0.2309 ips: 59.2554 images/s [03/18 10:59:09] ppdet.engine INFO: Epoch: [150] [180/523] learning_rate: 0.139916 loss_vfl: 1.079907 loss_bbox: 0.465882 loss_dfl: 0.436725 loss: 1.971430 eta: 20:11:55 batch_cost: 1.0757 data_cost: 0.2647 ips: 52.0574 images/s [03/18 10:59:31] ppdet.engine INFO: Epoch: [150] [200/523] learning_rate: 0.139860 loss_vfl: 1.056827 loss_bbox: 0.458352 loss_dfl: 0.445884 loss: 1.989357 eta: 20:11:37 batch_cost: 0.9517 data_cost: 0.1950 ips: 58.8403 images/s [03/18 10:59:56] ppdet.engine INFO: Epoch: [150] [220/523] learning_rate: 0.139803 loss_vfl: 1.063552 loss_bbox: 0.455650 loss_dfl: 0.427202 loss: 1.947106 eta: 20:11:20 batch_cost: 1.0501 data_cost: 0.2514 ips: 53.3265 images/s [03/18 11:00:18] ppdet.engine INFO: Epoch: [150] [240/523] learning_rate: 0.139747 loss_vfl: 1.083918 loss_bbox: 0.478964 loss_dfl: 0.446800 loss: 2.011811 eta: 20:11:02 batch_cost: 0.9396 data_cost: 0.2260 ips: 59.6017 images/s [03/18 11:00:43] ppdet.engine INFO: Epoch: [150] [260/523] learning_rate: 0.139691 loss_vfl: 1.032571 loss_bbox: 0.472143 loss_dfl: 0.433108 loss: 1.946477 eta: 20:10:45 batch_cost: 1.0032 data_cost: 0.2191 ips: 55.8204 images/s [03/18 11:01:06] ppdet.engine INFO: Epoch: [150] [280/523] learning_rate: 0.139635 loss_vfl: 1.065393 loss_bbox: 0.480025 loss_dfl: 0.444355 loss: 2.032800 eta: 20:10:28 batch_cost: 1.0197 data_cost: 0.3177 ips: 54.9161 images/s [03/18 11:01:30] ppdet.engine INFO: Epoch: [150] [300/523] learning_rate: 0.139579 loss_vfl: 1.063253 loss_bbox: 0.471013 loss_dfl: 0.428436 loss: 1.951075 eta: 20:10:11 batch_cost: 1.0132 data_cost: 0.1283 ips: 55.2704 images/s [03/18 11:01:52] ppdet.engine INFO: Epoch: [150] [320/523] learning_rate: 0.139523 loss_vfl: 1.085248 loss_bbox: 0.492682 loss_dfl: 0.451684 loss: 2.022407 eta: 20:09:52 batch_cost: 0.8966 data_cost: 0.1227 ips: 62.4613 images/s [03/18 11:02:11] ppdet.engine INFO: Epoch: [150] [340/523] learning_rate: 0.139466 loss_vfl: 1.047272 loss_bbox: 0.460824 loss_dfl: 0.427741 loss: 1.953189 eta: 20:09:30 batch_cost: 0.7710 data_cost: 0.0726 ips: 72.6353 images/s [03/18 11:02:31] ppdet.engine INFO: Epoch: [150] [360/523] learning_rate: 0.139410 loss_vfl: 1.041979 loss_bbox: 0.474630 loss_dfl: 0.435018 loss: 1.921289 eta: 20:09:08 batch_cost: 0.7507 data_cost: 0.0624 ips: 74.6015 images/s [03/18 11:02:53] ppdet.engine INFO: Epoch: [150] [380/523] learning_rate: 0.139354 loss_vfl: 1.057752 loss_bbox: 0.476112 loss_dfl: 0.435849 loss: 1.985206 eta: 20:08:51 batch_cost: 0.9948 data_cost: 0.0965 ips: 56.2951 images/s [03/18 11:03:16] ppdet.engine INFO: Epoch: [150] [400/523] learning_rate: 0.139298 loss_vfl: 1.026196 loss_bbox: 0.444597 loss_dfl: 0.423981 loss: 1.884634 eta: 20:08:33 batch_cost: 0.9893 data_cost: 0.1135 ips: 56.6031 images/s [03/18 11:03:40] ppdet.engine INFO: Epoch: [150] [420/523] learning_rate: 0.139242 loss_vfl: 1.032623 loss_bbox: 0.448838 loss_dfl: 0.424835 loss: 1.931279 eta: 20:08:17 batch_cost: 1.0207 data_cost: 0.2959 ips: 54.8650 images/s [03/18 11:04:03] ppdet.engine INFO: Epoch: [150] [440/523] learning_rate: 0.139186 loss_vfl: 1.058550 loss_bbox: 0.471742 loss_dfl: 0.431589 loss: 1.979166 eta: 20:07:58 batch_cost: 0.9424 data_cost: 0.2361 ips: 59.4243 images/s [03/18 11:04:29] ppdet.engine INFO: Epoch: [150] [460/523] learning_rate: 0.139129 loss_vfl: 1.048935 loss_bbox: 0.466799 loss_dfl: 0.436689 loss: 1.937722 eta: 20:07:44 batch_cost: 1.1471 data_cost: 0.4172 ips: 48.8180 images/s [03/18 11:04:50] ppdet.engine INFO: Epoch: [150] [480/523] learning_rate: 0.139073 loss_vfl: 1.036411 loss_bbox: 0.457206 loss_dfl: 0.427514 loss: 1.937500 eta: 20:07:25 batch_cost: 0.9012 data_cost: 0.0368 ips: 62.1379 images/s [03/18 11:05:15] ppdet.engine INFO: Epoch: [150] [500/523] learning_rate: 0.139017 loss_vfl: 1.044999 loss_bbox: 0.468919 loss_dfl: 0.440444 loss: 1.952129 eta: 20:07:09 batch_cost: 1.0819 data_cost: 0.3006 ips: 51.7606 images/s [03/18 11:05:32] ppdet.engine INFO: Epoch: [150] [520/523] learning_rate: 0.138961 loss_vfl: 1.063471 loss_bbox: 0.465984 loss_dfl: 0.422310 loss: 1.931054 eta: 20:06:46 batch_cost: 0.7093 data_cost: 0.0879 ips: 78.9543 images/s [03/18 11:05:45] ppdet.engine INFO: Epoch: [151] [ 0/523] learning_rate: 0.138952 loss_vfl: 1.054407 loss_bbox: 0.435842 loss_dfl: 0.420782 loss: 1.895436 eta: 20:06:52 batch_cost: 1.1679 data_cost: 0.3826 ips: 47.9511 images/s [03/18 11:06:06] ppdet.engine INFO: Epoch: [151] [ 20/523] learning_rate: 0.138896 loss_vfl: 1.035808 loss_bbox: 0.446783 loss_dfl: 0.418095 loss: 1.899170 eta: 20:06:33 batch_cost: 0.8910 data_cost: 0.0026 ips: 62.8492 images/s [03/18 11:06:28] ppdet.engine INFO: Epoch: [151] [ 40/523] learning_rate: 0.138840 loss_vfl: 1.020873 loss_bbox: 0.451147 loss_dfl: 0.416876 loss: 1.895184 eta: 20:06:14 batch_cost: 0.9405 data_cost: 0.0025 ips: 59.5421 images/s [03/18 11:06:49] ppdet.engine INFO: Epoch: [151] [ 60/523] learning_rate: 0.138784 loss_vfl: 1.034883 loss_bbox: 0.451437 loss_dfl: 0.422185 loss: 1.904193 eta: 20:05:56 batch_cost: 0.9270 data_cost: 0.0083 ips: 60.4119 images/s [03/18 11:07:06] ppdet.engine INFO: Epoch: [151] [ 80/523] learning_rate: 0.138728 loss_vfl: 1.044110 loss_bbox: 0.452675 loss_dfl: 0.433882 loss: 1.924124 eta: 20:05:34 batch_cost: 0.7525 data_cost: 0.0019 ips: 74.4206 images/s [03/18 11:07:28] ppdet.engine INFO: Epoch: [151] [100/523] learning_rate: 0.138672 loss_vfl: 1.042792 loss_bbox: 0.459206 loss_dfl: 0.435271 loss: 1.942488 eta: 20:05:15 batch_cost: 0.9107 data_cost: 0.0064 ips: 61.4926 images/s [03/18 11:07:48] ppdet.engine INFO: Epoch: [151] [120/523] learning_rate: 0.138615 loss_vfl: 1.014069 loss_bbox: 0.432175 loss_dfl: 0.416925 loss: 1.856277 eta: 20:04:54 batch_cost: 0.8321 data_cost: 0.0060 ips: 67.2981 images/s [03/18 11:08:13] ppdet.engine INFO: Epoch: [151] [140/523] learning_rate: 0.138559 loss_vfl: 1.024161 loss_bbox: 0.430450 loss_dfl: 0.410107 loss: 1.884696 eta: 20:04:38 batch_cost: 1.0421 data_cost: 0.0428 ips: 53.7368 images/s [03/18 11:08:36] ppdet.engine INFO: Epoch: [151] [160/523] learning_rate: 0.138503 loss_vfl: 1.062945 loss_bbox: 0.461324 loss_dfl: 0.435291 loss: 2.006017 eta: 20:04:21 batch_cost: 1.0178 data_cost: 0.0150 ips: 55.0193 images/s [03/18 11:08:58] ppdet.engine INFO: Epoch: [151] [180/523] learning_rate: 0.138447 loss_vfl: 1.024799 loss_bbox: 0.431422 loss_dfl: 0.411930 loss: 1.866580 eta: 20:04:03 batch_cost: 0.9570 data_cost: 0.0011 ips: 58.5159 images/s [03/18 11:09:22] ppdet.engine INFO: Epoch: [151] [200/523] learning_rate: 0.138391 loss_vfl: 1.048272 loss_bbox: 0.440178 loss_dfl: 0.434788 loss: 1.898798 eta: 20:03:45 batch_cost: 0.9746 data_cost: 0.0054 ips: 57.4571 images/s [03/18 11:09:42] ppdet.engine INFO: Epoch: [151] [220/523] learning_rate: 0.138335 loss_vfl: 1.016214 loss_bbox: 0.432536 loss_dfl: 0.414087 loss: 1.882557 eta: 20:03:25 batch_cost: 0.8509 data_cost: 0.0063 ips: 65.8117 images/s [03/18 11:10:05] ppdet.engine INFO: Epoch: [151] [240/523] learning_rate: 0.138278 loss_vfl: 1.015950 loss_bbox: 0.439718 loss_dfl: 0.422846 loss: 1.849176 eta: 20:03:08 batch_cost: 1.0287 data_cost: 0.0038 ips: 54.4398 images/s [03/18 11:10:29] ppdet.engine INFO: Epoch: [151] [260/523] learning_rate: 0.138222 loss_vfl: 1.009175 loss_bbox: 0.464865 loss_dfl: 0.423882 loss: 1.877626 eta: 20:02:52 batch_cost: 1.0366 data_cost: 0.0072 ips: 54.0244 images/s [03/18 11:10:48] ppdet.engine INFO: Epoch: [151] [280/523] learning_rate: 0.138166 loss_vfl: 0.998776 loss_bbox: 0.447951 loss_dfl: 0.415686 loss: 1.872204 eta: 20:02:31 batch_cost: 0.7990 data_cost: 0.0063 ips: 70.0919 images/s [03/18 11:11:10] ppdet.engine INFO: Epoch: [151] [300/523] learning_rate: 0.138110 loss_vfl: 1.026305 loss_bbox: 0.449066 loss_dfl: 0.415237 loss: 1.890409 eta: 20:02:10 batch_cost: 0.8091 data_cost: 0.0012 ips: 69.2117 images/s [03/18 11:11:28] ppdet.engine INFO: Epoch: [151] [320/523] learning_rate: 0.138054 loss_vfl: 1.081853 loss_bbox: 0.461539 loss_dfl: 0.433699 loss: 1.989205 eta: 20:01:50 batch_cost: 0.8488 data_cost: 0.0033 ips: 65.9730 images/s [03/18 11:11:48] ppdet.engine INFO: Epoch: [151] [340/523] learning_rate: 0.137998 loss_vfl: 1.027426 loss_bbox: 0.463045 loss_dfl: 0.429391 loss: 1.942324 eta: 20:01:28 batch_cost: 0.7599 data_cost: 0.0048 ips: 73.6895 images/s [03/18 11:12:09] ppdet.engine INFO: Epoch: [151] [360/523] learning_rate: 0.137941 loss_vfl: 1.095862 loss_bbox: 0.488489 loss_dfl: 0.443247 loss: 2.047544 eta: 20:01:08 batch_cost: 0.8770 data_cost: 0.0709 ips: 63.8572 images/s [03/18 11:12:32] ppdet.engine INFO: Epoch: [151] [380/523] learning_rate: 0.137885 loss_vfl: 1.052547 loss_bbox: 0.482745 loss_dfl: 0.447276 loss: 1.994575 eta: 20:00:51 batch_cost: 1.0061 data_cost: 0.0035 ips: 55.6611 images/s [03/18 11:12:55] ppdet.engine INFO: Epoch: [151] [400/523] learning_rate: 0.137829 loss_vfl: 1.064402 loss_bbox: 0.460549 loss_dfl: 0.425718 loss: 1.951164 eta: 20:00:34 batch_cost: 0.9805 data_cost: 0.1083 ips: 57.1163 images/s [03/18 11:13:17] ppdet.engine INFO: Epoch: [151] [420/523] learning_rate: 0.137773 loss_vfl: 1.039392 loss_bbox: 0.454190 loss_dfl: 0.425585 loss: 1.895567 eta: 20:00:15 batch_cost: 0.9556 data_cost: 0.2569 ips: 58.6010 images/s [03/18 11:13:41] ppdet.engine INFO: Epoch: [151] [440/523] learning_rate: 0.137717 loss_vfl: 1.011698 loss_bbox: 0.441717 loss_dfl: 0.417914 loss: 1.880555 eta: 19:59:57 batch_cost: 0.9541 data_cost: 0.2210 ips: 58.6940 images/s [03/18 11:14:01] ppdet.engine INFO: Epoch: [151] [460/523] learning_rate: 0.137661 loss_vfl: 1.000459 loss_bbox: 0.437454 loss_dfl: 0.417777 loss: 1.871761 eta: 19:59:36 batch_cost: 0.8039 data_cost: 0.0737 ips: 69.6584 images/s [03/18 11:14:24] ppdet.engine INFO: Epoch: [151] [480/523] learning_rate: 0.137604 loss_vfl: 1.132536 loss_bbox: 0.490590 loss_dfl: 0.464028 loss: 2.069907 eta: 19:59:20 batch_cost: 1.0256 data_cost: 0.2577 ips: 54.6029 images/s [03/18 11:14:47] ppdet.engine INFO: Epoch: [151] [500/523] learning_rate: 0.137548 loss_vfl: 1.068093 loss_bbox: 0.472748 loss_dfl: 0.438804 loss: 1.985646 eta: 19:59:02 batch_cost: 0.9800 data_cost: 0.0554 ips: 57.1433 images/s [03/18 11:15:04] ppdet.engine INFO: Epoch: [151] [520/523] learning_rate: 0.137492 loss_vfl: 1.070098 loss_bbox: 0.437553 loss_dfl: 0.431015 loss: 1.960772 eta: 19:58:40 batch_cost: 0.7382 data_cost: 0.0029 ips: 75.8599 images/s [03/18 11:15:16] ppdet.engine INFO: Epoch: [152] [ 0/523] learning_rate: 0.137484 loss_vfl: 1.064820 loss_bbox: 0.437553 loss_dfl: 0.431015 loss: 1.934353 eta: 19:58:45 batch_cost: 1.1309 data_cost: 0.4290 ips: 49.5173 images/s [03/18 11:15:37] ppdet.engine INFO: Epoch: [152] [ 20/523] learning_rate: 0.137427 loss_vfl: 1.082782 loss_bbox: 0.462995 loss_dfl: 0.432052 loss: 1.994687 eta: 19:58:26 batch_cost: 0.9001 data_cost: 0.0899 ips: 62.2135 images/s [03/18 11:15:55] ppdet.engine INFO: Epoch: [152] [ 40/523] learning_rate: 0.137371 loss_vfl: 1.025396 loss_bbox: 0.423268 loss_dfl: 0.410160 loss: 1.898259 eta: 19:58:04 batch_cost: 0.7782 data_cost: 0.0026 ips: 71.9606 images/s [03/18 11:16:16] ppdet.engine INFO: Epoch: [152] [ 60/523] learning_rate: 0.137315 loss_vfl: 1.019962 loss_bbox: 0.439142 loss_dfl: 0.408339 loss: 1.874293 eta: 19:57:44 batch_cost: 0.8438 data_cost: 0.0057 ips: 66.3669 images/s [03/18 11:16:37] ppdet.engine INFO: Epoch: [152] [ 80/523] learning_rate: 0.137259 loss_vfl: 1.040664 loss_bbox: 0.461354 loss_dfl: 0.429293 loss: 1.954543 eta: 19:57:26 batch_cost: 0.9358 data_cost: 0.0040 ips: 59.8407 images/s [03/18 11:16:58] ppdet.engine INFO: Epoch: [152] [100/523] learning_rate: 0.137203 loss_vfl: 1.103035 loss_bbox: 0.493203 loss_dfl: 0.457099 loss: 2.055470 eta: 19:57:05 batch_cost: 0.8254 data_cost: 0.0053 ips: 67.8423 images/s [03/18 11:17:22] ppdet.engine INFO: Epoch: [152] [120/523] learning_rate: 0.137147 loss_vfl: 1.090467 loss_bbox: 0.488932 loss_dfl: 0.449664 loss: 2.049104 eta: 19:56:49 batch_cost: 1.0795 data_cost: 0.2224 ips: 51.8780 images/s [03/18 11:17:44] ppdet.engine INFO: Epoch: [152] [140/523] learning_rate: 0.137091 loss_vfl: 1.053510 loss_bbox: 0.421723 loss_dfl: 0.419912 loss: 1.921956 eta: 19:56:31 batch_cost: 0.9195 data_cost: 0.0246 ips: 60.9056 images/s [03/18 11:18:05] ppdet.engine INFO: Epoch: [152] [160/523] learning_rate: 0.137034 loss_vfl: 1.033695 loss_bbox: 0.455933 loss_dfl: 0.422240 loss: 1.915243 eta: 19:56:12 batch_cost: 0.9477 data_cost: 0.1905 ips: 59.0915 images/s [03/18 11:18:29] ppdet.engine INFO: Epoch: [152] [180/523] learning_rate: 0.136978 loss_vfl: 1.078255 loss_bbox: 0.463696 loss_dfl: 0.439816 loss: 1.992277 eta: 19:55:56 batch_cost: 1.0484 data_cost: 0.2217 ips: 53.4153 images/s [03/18 11:18:52] ppdet.engine INFO: Epoch: [152] [200/523] learning_rate: 0.136922 loss_vfl: 1.064868 loss_bbox: 0.464511 loss_dfl: 0.433732 loss: 1.936704 eta: 19:55:38 batch_cost: 0.9665 data_cost: 0.0405 ips: 57.9429 images/s [03/18 11:19:13] ppdet.engine INFO: Epoch: [152] [220/523] learning_rate: 0.136866 loss_vfl: 1.035470 loss_bbox: 0.466914 loss_dfl: 0.426888 loss: 1.931988 eta: 19:55:20 batch_cost: 0.9262 data_cost: 0.1151 ips: 60.4607 images/s [03/18 11:19:36] ppdet.engine INFO: Epoch: [152] [240/523] learning_rate: 0.136810 loss_vfl: 1.070235 loss_bbox: 0.465433 loss_dfl: 0.446820 loss: 1.988613 eta: 19:55:02 batch_cost: 0.9851 data_cost: 0.0476 ips: 56.8476 images/s [03/18 11:19:55] ppdet.engine INFO: Epoch: [152] [260/523] learning_rate: 0.136754 loss_vfl: 1.065197 loss_bbox: 0.476184 loss_dfl: 0.438717 loss: 1.987295 eta: 19:54:41 batch_cost: 0.8237 data_cost: 0.0053 ips: 67.9846 images/s [03/18 11:20:17] ppdet.engine INFO: Epoch: [152] [280/523] learning_rate: 0.136697 loss_vfl: 1.075573 loss_bbox: 0.499469 loss_dfl: 0.453898 loss: 2.064662 eta: 19:54:23 batch_cost: 0.9448 data_cost: 0.2293 ips: 59.2737 images/s [03/18 11:20:35] ppdet.engine INFO: Epoch: [152] [300/523] learning_rate: 0.136641 loss_vfl: 1.025251 loss_bbox: 0.444194 loss_dfl: 0.413061 loss: 1.894428 eta: 19:54:03 batch_cost: 0.8253 data_cost: 0.1279 ips: 67.8556 images/s [03/18 11:20:54] ppdet.engine INFO: Epoch: [152] [320/523] learning_rate: 0.136585 loss_vfl: 1.011826 loss_bbox: 0.434021 loss_dfl: 0.404633 loss: 1.852547 eta: 19:53:41 batch_cost: 0.7683 data_cost: 0.0013 ips: 72.8858 images/s [03/18 11:21:17] ppdet.engine INFO: Epoch: [152] [340/523] learning_rate: 0.136529 loss_vfl: 1.044398 loss_bbox: 0.454581 loss_dfl: 0.431534 loss: 1.926391 eta: 19:53:22 batch_cost: 0.9337 data_cost: 0.0961 ips: 59.9792 images/s [03/18 11:21:36] ppdet.engine INFO: Epoch: [152] [360/523] learning_rate: 0.136473 loss_vfl: 0.999134 loss_bbox: 0.461011 loss_dfl: 0.413740 loss: 1.848705 eta: 19:53:02 batch_cost: 0.8303 data_cost: 0.0052 ips: 67.4433 images/s [03/18 11:21:57] ppdet.engine INFO: Epoch: [152] [380/523] learning_rate: 0.136417 loss_vfl: 1.068776 loss_bbox: 0.474688 loss_dfl: 0.443852 loss: 1.983259 eta: 19:52:42 batch_cost: 0.8725 data_cost: 0.1101 ips: 64.1849 images/s [03/18 11:22:21] ppdet.engine INFO: Epoch: [152] [400/523] learning_rate: 0.136360 loss_vfl: 1.060472 loss_bbox: 0.452799 loss_dfl: 0.421862 loss: 1.927419 eta: 19:52:25 batch_cost: 1.0089 data_cost: 0.0804 ips: 55.5060 images/s [03/18 11:22:41] ppdet.engine INFO: Epoch: [152] [420/523] learning_rate: 0.136304 loss_vfl: 1.014320 loss_bbox: 0.453355 loss_dfl: 0.428735 loss: 1.893456 eta: 19:52:06 batch_cost: 0.8776 data_cost: 0.0421 ips: 63.8077 images/s [03/18 11:23:03] ppdet.engine INFO: Epoch: [152] [440/523] learning_rate: 0.136248 loss_vfl: 1.123710 loss_bbox: 0.504719 loss_dfl: 0.461120 loss: 2.099243 eta: 19:51:46 batch_cost: 0.8853 data_cost: 0.0013 ips: 63.2580 images/s [03/18 11:23:26] ppdet.engine INFO: Epoch: [152] [460/523] learning_rate: 0.136192 loss_vfl: 1.067296 loss_bbox: 0.473729 loss_dfl: 0.443577 loss: 2.003536 eta: 19:51:30 batch_cost: 1.0336 data_cost: 0.0043 ips: 54.1797 images/s [03/18 11:23:46] ppdet.engine INFO: Epoch: [152] [480/523] learning_rate: 0.136136 loss_vfl: 1.088841 loss_bbox: 0.472851 loss_dfl: 0.442228 loss: 1.999927 eta: 19:51:10 batch_cost: 0.8670 data_cost: 0.0063 ips: 64.5889 images/s [03/18 11:24:10] ppdet.engine INFO: Epoch: [152] [500/523] learning_rate: 0.136080 loss_vfl: 1.067292 loss_bbox: 0.488489 loss_dfl: 0.442020 loss: 2.012183 eta: 19:50:53 batch_cost: 1.0037 data_cost: 0.0058 ips: 55.7926 images/s [03/18 11:24:27] ppdet.engine INFO: Epoch: [152] [520/523] learning_rate: 0.136024 loss_vfl: 0.997254 loss_bbox: 0.447355 loss_dfl: 0.412978 loss: 1.865497 eta: 19:50:30 batch_cost: 0.7040 data_cost: 0.0397 ips: 79.5452 images/s [03/18 11:24:40] ppdet.engine INFO: Epoch: [153] [ 0/523] learning_rate: 0.136015 loss_vfl: 1.003672 loss_bbox: 0.450365 loss_dfl: 0.420843 loss: 1.874005 eta: 19:50:36 batch_cost: 1.1356 data_cost: 0.5080 ips: 49.3150 images/s [03/18 11:25:02] ppdet.engine INFO: Epoch: [153] [ 20/523] learning_rate: 0.135959 loss_vfl: 1.073408 loss_bbox: 0.464521 loss_dfl: 0.432367 loss: 1.995074 eta: 19:50:16 batch_cost: 0.8597 data_cost: 0.0074 ips: 65.1387 images/s [03/18 11:25:22] ppdet.engine INFO: Epoch: [153] [ 40/523] learning_rate: 0.135903 loss_vfl: 1.146688 loss_bbox: 0.493766 loss_dfl: 0.456938 loss: 2.086644 eta: 19:49:55 batch_cost: 0.8138 data_cost: 0.0017 ips: 68.8167 images/s [03/18 11:25:42] ppdet.engine INFO: Epoch: [153] [ 60/523] learning_rate: 0.135847 loss_vfl: 1.083162 loss_bbox: 0.474363 loss_dfl: 0.450171 loss: 1.992423 eta: 19:49:36 batch_cost: 0.8611 data_cost: 0.0012 ips: 65.0367 images/s [03/18 11:26:06] ppdet.engine INFO: Epoch: [153] [ 80/523] learning_rate: 0.135791 loss_vfl: 1.022176 loss_bbox: 0.459749 loss_dfl: 0.432075 loss: 1.927629 eta: 19:49:17 batch_cost: 0.9405 data_cost: 0.0053 ips: 59.5445 images/s [03/18 11:26:26] ppdet.engine INFO: Epoch: [153] [100/523] learning_rate: 0.135734 loss_vfl: 1.072636 loss_bbox: 0.473451 loss_dfl: 0.439586 loss: 1.969098 eta: 19:48:57 batch_cost: 0.8240 data_cost: 0.0031 ips: 67.9647 images/s [03/18 11:26:53] ppdet.engine INFO: Epoch: [153] [120/523] learning_rate: 0.135678 loss_vfl: 1.029166 loss_bbox: 0.437941 loss_dfl: 0.419978 loss: 1.895564 eta: 19:48:44 batch_cost: 1.2186 data_cost: 0.0189 ips: 45.9561 images/s [03/18 11:27:17] ppdet.engine INFO: Epoch: [153] [140/523] learning_rate: 0.135622 loss_vfl: 1.093818 loss_bbox: 0.491120 loss_dfl: 0.455035 loss: 2.069476 eta: 19:48:25 batch_cost: 0.9470 data_cost: 0.0081 ips: 59.1348 images/s [03/18 11:27:41] ppdet.engine INFO: Epoch: [153] [160/523] learning_rate: 0.135566 loss_vfl: 1.023872 loss_bbox: 0.464299 loss_dfl: 0.432964 loss: 1.908489 eta: 19:48:07 batch_cost: 0.9543 data_cost: 0.0087 ips: 58.6828 images/s [03/18 11:28:04] ppdet.engine INFO: Epoch: [153] [180/523] learning_rate: 0.135510 loss_vfl: 1.047252 loss_bbox: 0.458773 loss_dfl: 0.436021 loss: 1.942357 eta: 19:47:51 batch_cost: 1.0309 data_cost: 0.0076 ips: 54.3217 images/s [03/18 11:28:28] ppdet.engine INFO: Epoch: [153] [200/523] learning_rate: 0.135454 loss_vfl: 1.089531 loss_bbox: 0.474995 loss_dfl: 0.433910 loss: 2.026875 eta: 19:47:34 batch_cost: 1.0540 data_cost: 0.0020 ips: 53.1302 images/s [03/18 11:28:50] ppdet.engine INFO: Epoch: [153] [220/523] learning_rate: 0.135398 loss_vfl: 1.077771 loss_bbox: 0.459944 loss_dfl: 0.423188 loss: 1.968498 eta: 19:47:15 batch_cost: 0.8852 data_cost: 0.0032 ips: 63.2628 images/s [03/18 11:29:12] ppdet.engine INFO: Epoch: [153] [240/523] learning_rate: 0.135341 loss_vfl: 1.081783 loss_bbox: 0.471271 loss_dfl: 0.440533 loss: 1.981427 eta: 19:46:56 batch_cost: 0.9281 data_cost: 0.0109 ips: 60.3406 images/s [03/18 11:29:32] ppdet.engine INFO: Epoch: [153] [260/523] learning_rate: 0.135285 loss_vfl: 1.055605 loss_bbox: 0.471734 loss_dfl: 0.445133 loss: 1.993024 eta: 19:46:36 batch_cost: 0.8469 data_cost: 0.0018 ips: 66.1216 images/s [03/18 11:29:51] ppdet.engine INFO: Epoch: [153] [280/523] learning_rate: 0.135229 loss_vfl: 1.055344 loss_bbox: 0.456911 loss_dfl: 0.436906 loss: 1.943813 eta: 19:46:15 batch_cost: 0.7848 data_cost: 0.0021 ips: 71.3580 images/s [03/18 11:30:14] ppdet.engine INFO: Epoch: [153] [300/523] learning_rate: 0.135173 loss_vfl: 1.038596 loss_bbox: 0.474620 loss_dfl: 0.441248 loss: 1.969197 eta: 19:45:58 batch_cost: 1.0258 data_cost: 0.0038 ips: 54.5914 images/s [03/18 11:30:38] ppdet.engine INFO: Epoch: [153] [320/523] learning_rate: 0.135117 loss_vfl: 1.121434 loss_bbox: 0.492870 loss_dfl: 0.451296 loss: 2.058936 eta: 19:45:41 batch_cost: 1.0238 data_cost: 0.0028 ips: 54.6998 images/s [03/18 11:31:01] ppdet.engine INFO: Epoch: [153] [340/523] learning_rate: 0.135061 loss_vfl: 1.081549 loss_bbox: 0.499046 loss_dfl: 0.453884 loss: 2.029811 eta: 19:45:24 batch_cost: 1.0169 data_cost: 0.0071 ips: 55.0677 images/s [03/18 11:31:26] ppdet.engine INFO: Epoch: [153] [360/523] learning_rate: 0.135005 loss_vfl: 1.112991 loss_bbox: 0.490627 loss_dfl: 0.448347 loss: 2.036862 eta: 19:45:07 batch_cost: 0.9933 data_cost: 0.0128 ips: 56.3783 images/s [03/18 11:31:48] ppdet.engine INFO: Epoch: [153] [380/523] learning_rate: 0.134948 loss_vfl: 1.100668 loss_bbox: 0.483323 loss_dfl: 0.449425 loss: 2.018618 eta: 19:44:48 batch_cost: 0.9161 data_cost: 0.0047 ips: 61.1319 images/s [03/18 11:32:10] ppdet.engine INFO: Epoch: [153] [400/523] learning_rate: 0.134892 loss_vfl: 1.072034 loss_bbox: 0.458718 loss_dfl: 0.423195 loss: 1.947356 eta: 19:44:29 batch_cost: 0.9037 data_cost: 0.0033 ips: 61.9649 images/s [03/18 11:32:34] ppdet.engine INFO: Epoch: [153] [420/523] learning_rate: 0.134836 loss_vfl: 1.073954 loss_bbox: 0.465507 loss_dfl: 0.435785 loss: 1.974813 eta: 19:44:13 batch_cost: 1.0578 data_cost: 0.1876 ips: 52.9410 images/s [03/18 11:32:57] ppdet.engine INFO: Epoch: [153] [440/523] learning_rate: 0.134780 loss_vfl: 1.109342 loss_bbox: 0.491458 loss_dfl: 0.449685 loss: 2.047300 eta: 19:43:54 batch_cost: 0.9301 data_cost: 0.1188 ips: 60.2072 images/s [03/18 11:33:21] ppdet.engine INFO: Epoch: [153] [460/523] learning_rate: 0.134724 loss_vfl: 1.084381 loss_bbox: 0.461048 loss_dfl: 0.422674 loss: 1.951093 eta: 19:43:37 batch_cost: 1.0017 data_cost: 0.0041 ips: 55.9073 images/s [03/18 11:33:42] ppdet.engine INFO: Epoch: [153] [480/523] learning_rate: 0.134668 loss_vfl: 1.061640 loss_bbox: 0.472202 loss_dfl: 0.433229 loss: 1.999377 eta: 19:43:18 batch_cost: 0.8743 data_cost: 0.0631 ips: 64.0522 images/s [03/18 11:34:01] ppdet.engine INFO: Epoch: [153] [500/523] learning_rate: 0.134612 loss_vfl: 1.087864 loss_bbox: 0.476075 loss_dfl: 0.443971 loss: 1.960869 eta: 19:42:56 batch_cost: 0.7561 data_cost: 0.0053 ips: 74.0639 images/s [03/18 11:34:16] ppdet.engine INFO: Epoch: [153] [520/523] learning_rate: 0.134556 loss_vfl: 1.099866 loss_bbox: 0.491606 loss_dfl: 0.459749 loss: 2.045438 eta: 19:42:32 batch_cost: 0.6494 data_cost: 0.0186 ips: 86.2381 images/s [03/18 11:34:29] ppdet.engine INFO: Epoch: [154] [ 0/523] learning_rate: 0.134547 loss_vfl: 1.118584 loss_bbox: 0.484132 loss_dfl: 0.456004 loss: 2.037240 eta: 19:42:38 batch_cost: 1.1621 data_cost: 0.5199 ips: 48.1869 images/s [03/18 11:34:55] ppdet.engine INFO: Epoch: [154] [ 20/523] learning_rate: 0.134491 loss_vfl: 1.016964 loss_bbox: 0.455394 loss_dfl: 0.415525 loss: 1.877602 eta: 19:42:22 batch_cost: 1.0519 data_cost: 0.0007 ips: 53.2377 images/s [03/18 11:35:21] ppdet.engine INFO: Epoch: [154] [ 40/523] learning_rate: 0.134435 loss_vfl: 1.070668 loss_bbox: 0.469338 loss_dfl: 0.444261 loss: 1.987775 eta: 19:42:06 batch_cost: 1.0842 data_cost: 0.0038 ips: 51.6532 images/s [03/18 11:35:44] ppdet.engine INFO: Epoch: [154] [ 60/523] learning_rate: 0.134379 loss_vfl: 1.025152 loss_bbox: 0.463010 loss_dfl: 0.435457 loss: 1.913512 eta: 19:41:48 batch_cost: 0.9573 data_cost: 0.0066 ips: 58.4996 images/s [03/18 11:36:07] ppdet.engine INFO: Epoch: [154] [ 80/523] learning_rate: 0.134323 loss_vfl: 1.075985 loss_bbox: 0.468774 loss_dfl: 0.436831 loss: 1.979885 eta: 19:41:30 batch_cost: 0.9576 data_cost: 0.0039 ips: 58.4800 images/s [03/18 11:36:33] ppdet.engine INFO: Epoch: [154] [100/523] learning_rate: 0.134266 loss_vfl: 1.032254 loss_bbox: 0.449898 loss_dfl: 0.425758 loss: 1.913464 eta: 19:41:15 batch_cost: 1.1435 data_cost: 0.0180 ips: 48.9730 images/s [03/18 11:36:55] ppdet.engine INFO: Epoch: [154] [120/523] learning_rate: 0.134210 loss_vfl: 1.034487 loss_bbox: 0.439708 loss_dfl: 0.422728 loss: 1.924573 eta: 19:40:56 batch_cost: 0.8703 data_cost: 0.0093 ips: 64.3476 images/s [03/18 11:37:19] ppdet.engine INFO: Epoch: [154] [140/523] learning_rate: 0.134154 loss_vfl: 1.087122 loss_bbox: 0.461753 loss_dfl: 0.426755 loss: 1.966569 eta: 19:40:37 batch_cost: 0.9549 data_cost: 0.0026 ips: 58.6426 images/s [03/18 11:37:44] ppdet.engine INFO: Epoch: [154] [160/523] learning_rate: 0.134098 loss_vfl: 1.008946 loss_bbox: 0.453512 loss_dfl: 0.419187 loss: 1.869010 eta: 19:40:22 batch_cost: 1.0729 data_cost: 0.0554 ips: 52.1947 images/s [03/18 11:38:04] ppdet.engine INFO: Epoch: [154] [180/523] learning_rate: 0.134042 loss_vfl: 1.067040 loss_bbox: 0.478605 loss_dfl: 0.419711 loss: 1.946322 eta: 19:40:01 batch_cost: 0.8476 data_cost: 0.0039 ips: 66.0651 images/s [03/18 11:38:23] ppdet.engine INFO: Epoch: [154] [200/523] learning_rate: 0.133986 loss_vfl: 1.049458 loss_bbox: 0.475659 loss_dfl: 0.444089 loss: 2.007652 eta: 19:39:40 batch_cost: 0.7614 data_cost: 0.0069 ips: 73.5464 images/s [03/18 11:38:44] ppdet.engine INFO: Epoch: [154] [220/523] learning_rate: 0.133930 loss_vfl: 1.039104 loss_bbox: 0.451896 loss_dfl: 0.430281 loss: 1.931760 eta: 19:39:20 batch_cost: 0.8784 data_cost: 0.0062 ips: 63.7546 images/s [03/18 11:39:07] ppdet.engine INFO: Epoch: [154] [240/523] learning_rate: 0.133874 loss_vfl: 1.070905 loss_bbox: 0.480922 loss_dfl: 0.451534 loss: 2.002567 eta: 19:39:02 batch_cost: 0.9731 data_cost: 0.0021 ips: 57.5479 images/s [03/18 11:39:31] ppdet.engine INFO: Epoch: [154] [260/523] learning_rate: 0.133818 loss_vfl: 1.031842 loss_bbox: 0.445094 loss_dfl: 0.425984 loss: 1.913141 eta: 19:38:44 batch_cost: 0.9519 data_cost: 0.0033 ips: 58.8308 images/s [03/18 11:39:54] ppdet.engine INFO: Epoch: [154] [280/523] learning_rate: 0.133761 loss_vfl: 1.014792 loss_bbox: 0.453944 loss_dfl: 0.424080 loss: 1.877359 eta: 19:38:27 batch_cost: 0.9957 data_cost: 0.1096 ips: 56.2427 images/s [03/18 11:40:17] ppdet.engine INFO: Epoch: [154] [300/523] learning_rate: 0.133705 loss_vfl: 1.011714 loss_bbox: 0.441622 loss_dfl: 0.415685 loss: 1.881746 eta: 19:38:09 batch_cost: 0.9490 data_cost: 0.0045 ips: 59.0078 images/s [03/18 11:40:43] ppdet.engine INFO: Epoch: [154] [320/523] learning_rate: 0.133649 loss_vfl: 1.012605 loss_bbox: 0.443281 loss_dfl: 0.434852 loss: 1.889855 eta: 19:37:51 batch_cost: 1.0050 data_cost: 0.1522 ips: 55.7207 images/s [03/18 11:41:05] ppdet.engine INFO: Epoch: [154] [340/523] learning_rate: 0.133593 loss_vfl: 1.026803 loss_bbox: 0.466738 loss_dfl: 0.433040 loss: 1.936449 eta: 19:37:33 batch_cost: 0.9315 data_cost: 0.0910 ips: 60.1161 images/s [03/18 11:41:30] ppdet.engine INFO: Epoch: [154] [360/523] learning_rate: 0.133537 loss_vfl: 1.046854 loss_bbox: 0.448835 loss_dfl: 0.425305 loss: 1.908911 eta: 19:37:15 batch_cost: 0.9730 data_cost: 0.0090 ips: 57.5552 images/s [03/18 11:41:53] ppdet.engine INFO: Epoch: [154] [380/523] learning_rate: 0.133481 loss_vfl: 1.022847 loss_bbox: 0.432572 loss_dfl: 0.420985 loss: 1.871659 eta: 19:36:58 batch_cost: 1.0224 data_cost: 0.1532 ips: 54.7741 images/s [03/18 11:42:16] ppdet.engine INFO: Epoch: [154] [400/523] learning_rate: 0.133425 loss_vfl: 1.015755 loss_bbox: 0.443483 loss_dfl: 0.405380 loss: 1.869677 eta: 19:36:40 batch_cost: 0.9275 data_cost: 0.1143 ips: 60.3769 images/s [03/18 11:42:36] ppdet.engine INFO: Epoch: [154] [420/523] learning_rate: 0.133369 loss_vfl: 1.049430 loss_bbox: 0.457199 loss_dfl: 0.426376 loss: 1.938961 eta: 19:36:19 batch_cost: 0.8081 data_cost: 0.0140 ips: 69.2963 images/s [03/18 11:42:54] ppdet.engine INFO: Epoch: [154] [440/523] learning_rate: 0.133313 loss_vfl: 1.039417 loss_bbox: 0.471027 loss_dfl: 0.430015 loss: 1.934966 eta: 19:35:58 batch_cost: 0.7922 data_cost: 0.0140 ips: 70.6895 images/s [03/18 11:43:17] ppdet.engine INFO: Epoch: [154] [460/523] learning_rate: 0.133256 loss_vfl: 1.045165 loss_bbox: 0.452959 loss_dfl: 0.440794 loss: 1.937806 eta: 19:35:40 batch_cost: 0.9837 data_cost: 0.0708 ips: 56.9277 images/s [03/18 11:43:41] ppdet.engine INFO: Epoch: [154] [480/523] learning_rate: 0.133200 loss_vfl: 1.098072 loss_bbox: 0.476908 loss_dfl: 0.439329 loss: 2.010200 eta: 19:35:23 batch_cost: 1.0208 data_cost: 0.0107 ips: 54.8610 images/s [03/18 11:44:04] ppdet.engine INFO: Epoch: [154] [500/523] learning_rate: 0.133144 loss_vfl: 1.070102 loss_bbox: 0.462252 loss_dfl: 0.431289 loss: 1.966888 eta: 19:35:06 batch_cost: 0.9854 data_cost: 0.1847 ips: 56.8313 images/s [03/18 11:44:22] ppdet.engine INFO: Epoch: [154] [520/523] learning_rate: 0.133088 loss_vfl: 1.035900 loss_bbox: 0.466564 loss_dfl: 0.424912 loss: 1.942512 eta: 19:34:43 batch_cost: 0.7034 data_cost: 0.0052 ips: 79.6108 images/s [03/18 11:44:33] ppdet.engine INFO: Epoch: [155] [ 0/523] learning_rate: 0.133080 loss_vfl: 1.020158 loss_bbox: 0.461526 loss_dfl: 0.420355 loss: 1.913106 eta: 19:34:47 batch_cost: 1.0687 data_cost: 0.3396 ips: 52.4005 images/s [03/18 11:44:56] ppdet.engine INFO: Epoch: [155] [ 20/523] learning_rate: 0.133024 loss_vfl: 1.076970 loss_bbox: 0.490497 loss_dfl: 0.458396 loss: 2.022049 eta: 19:34:29 batch_cost: 0.9580 data_cost: 0.0033 ips: 58.4555 images/s [03/18 11:45:18] ppdet.engine INFO: Epoch: [155] [ 40/523] learning_rate: 0.132967 loss_vfl: 1.034675 loss_bbox: 0.469171 loss_dfl: 0.424439 loss: 1.911642 eta: 19:34:11 batch_cost: 0.9778 data_cost: 0.2088 ips: 57.2685 images/s [03/18 11:45:40] ppdet.engine INFO: Epoch: [155] [ 60/523] learning_rate: 0.132911 loss_vfl: 1.046879 loss_bbox: 0.461982 loss_dfl: 0.434183 loss: 1.946668 eta: 19:33:53 batch_cost: 0.9659 data_cost: 0.1923 ips: 57.9790 images/s [03/18 11:46:04] ppdet.engine INFO: Epoch: [155] [ 80/523] learning_rate: 0.132855 loss_vfl: 1.040748 loss_bbox: 0.450160 loss_dfl: 0.431337 loss: 1.922266 eta: 19:33:37 batch_cost: 1.0851 data_cost: 0.2359 ips: 51.6094 images/s [03/18 11:46:26] ppdet.engine INFO: Epoch: [155] [100/523] learning_rate: 0.132799 loss_vfl: 1.067406 loss_bbox: 0.475223 loss_dfl: 0.453086 loss: 1.993548 eta: 19:33:19 batch_cost: 0.9521 data_cost: 0.0907 ips: 58.8180 images/s [03/18 11:46:46] ppdet.engine INFO: Epoch: [155] [120/523] learning_rate: 0.132743 loss_vfl: 1.091784 loss_bbox: 0.489629 loss_dfl: 0.461636 loss: 2.015159 eta: 19:33:00 batch_cost: 0.8954 data_cost: 0.2020 ips: 62.5440 images/s [03/18 11:47:06] ppdet.engine INFO: Epoch: [155] [140/523] learning_rate: 0.132687 loss_vfl: 1.066665 loss_bbox: 0.464734 loss_dfl: 0.438208 loss: 1.964709 eta: 19:32:40 batch_cost: 0.8891 data_cost: 0.2870 ips: 62.9860 images/s [03/18 11:47:25] ppdet.engine INFO: Epoch: [155] [160/523] learning_rate: 0.132631 loss_vfl: 1.032753 loss_bbox: 0.434992 loss_dfl: 0.413761 loss: 1.912019 eta: 19:32:20 batch_cost: 0.8041 data_cost: 0.1167 ips: 69.6399 images/s [03/18 11:47:45] ppdet.engine INFO: Epoch: [155] [180/523] learning_rate: 0.132575 loss_vfl: 1.014974 loss_bbox: 0.451864 loss_dfl: 0.426071 loss: 1.900266 eta: 19:32:01 batch_cost: 0.9246 data_cost: 0.2793 ips: 60.5688 images/s [03/18 11:48:09] ppdet.engine INFO: Epoch: [155] [200/523] learning_rate: 0.132519 loss_vfl: 1.075318 loss_bbox: 0.486604 loss_dfl: 0.449840 loss: 2.008995 eta: 19:31:45 batch_cost: 1.0943 data_cost: 0.3523 ips: 51.1737 images/s [03/18 11:48:31] ppdet.engine INFO: Epoch: [155] [220/523] learning_rate: 0.132463 loss_vfl: 1.109457 loss_bbox: 0.480321 loss_dfl: 0.448095 loss: 2.047566 eta: 19:31:29 batch_cost: 1.0304 data_cost: 0.4504 ips: 54.3478 images/s [03/18 11:48:52] ppdet.engine INFO: Epoch: [155] [240/523] learning_rate: 0.132407 loss_vfl: 1.118102 loss_bbox: 0.485379 loss_dfl: 0.450130 loss: 2.036417 eta: 19:31:09 batch_cost: 0.8993 data_cost: 0.2459 ips: 62.2696 images/s [03/18 11:49:14] ppdet.engine INFO: Epoch: [155] [260/523] learning_rate: 0.132350 loss_vfl: 1.042319 loss_bbox: 0.471729 loss_dfl: 0.435217 loss: 1.959386 eta: 19:30:53 batch_cost: 1.0350 data_cost: 0.2755 ips: 54.1052 images/s [03/18 11:49:36] ppdet.engine INFO: Epoch: [155] [280/523] learning_rate: 0.132294 loss_vfl: 1.078890 loss_bbox: 0.462999 loss_dfl: 0.441170 loss: 1.980988 eta: 19:30:35 batch_cost: 0.9454 data_cost: 0.3374 ips: 59.2312 images/s [03/18 11:49:58] ppdet.engine INFO: Epoch: [155] [300/523] learning_rate: 0.132238 loss_vfl: 1.011960 loss_bbox: 0.431954 loss_dfl: 0.400402 loss: 1.840742 eta: 19:30:17 batch_cost: 0.9960 data_cost: 0.2716 ips: 56.2224 images/s [03/18 11:50:22] ppdet.engine INFO: Epoch: [155] [320/523] learning_rate: 0.132182 loss_vfl: 1.014289 loss_bbox: 0.441481 loss_dfl: 0.407443 loss: 1.855181 eta: 19:30:02 batch_cost: 1.0890 data_cost: 0.4214 ips: 51.4231 images/s [03/18 11:50:43] ppdet.engine INFO: Epoch: [155] [340/523] learning_rate: 0.132126 loss_vfl: 1.094922 loss_bbox: 0.478323 loss_dfl: 0.449246 loss: 2.019645 eta: 19:29:43 batch_cost: 0.9079 data_cost: 0.2133 ips: 61.6834 images/s [03/18 11:51:05] ppdet.engine INFO: Epoch: [155] [360/523] learning_rate: 0.132070 loss_vfl: 1.054806 loss_bbox: 0.463881 loss_dfl: 0.425602 loss: 1.967817 eta: 19:29:25 batch_cost: 0.9787 data_cost: 0.3146 ips: 57.2203 images/s [03/18 11:51:26] ppdet.engine INFO: Epoch: [155] [380/523] learning_rate: 0.132014 loss_vfl: 1.063576 loss_bbox: 0.464996 loss_dfl: 0.442930 loss: 1.966530 eta: 19:29:07 batch_cost: 0.9594 data_cost: 0.3310 ips: 58.3722 images/s [03/18 11:51:45] ppdet.engine INFO: Epoch: [155] [400/523] learning_rate: 0.131958 loss_vfl: 1.054746 loss_bbox: 0.480301 loss_dfl: 0.457331 loss: 2.021831 eta: 19:28:47 batch_cost: 0.8457 data_cost: 0.2490 ips: 66.2141 images/s [03/18 11:52:01] ppdet.engine INFO: Epoch: [155] [420/523] learning_rate: 0.131902 loss_vfl: 1.009319 loss_bbox: 0.450245 loss_dfl: 0.412296 loss: 1.876869 eta: 19:28:23 batch_cost: 0.6797 data_cost: 0.0667 ips: 82.3948 images/s [03/18 11:52:24] ppdet.engine INFO: Epoch: [155] [440/523] learning_rate: 0.131846 loss_vfl: 1.114662 loss_bbox: 0.487260 loss_dfl: 0.466173 loss: 2.094972 eta: 19:28:08 batch_cost: 1.0914 data_cost: 0.4128 ips: 51.3121 images/s [03/18 11:52:44] ppdet.engine INFO: Epoch: [155] [460/523] learning_rate: 0.131790 loss_vfl: 1.092514 loss_bbox: 0.493417 loss_dfl: 0.457269 loss: 2.055799 eta: 19:27:48 batch_cost: 0.8601 data_cost: 0.2302 ips: 65.1075 images/s [03/18 11:53:06] ppdet.engine INFO: Epoch: [155] [480/523] learning_rate: 0.131734 loss_vfl: 1.033360 loss_bbox: 0.437279 loss_dfl: 0.418990 loss: 1.845082 eta: 19:27:30 batch_cost: 0.9777 data_cost: 0.1951 ips: 57.2765 images/s [03/18 11:53:29] ppdet.engine INFO: Epoch: [155] [500/523] learning_rate: 0.131677 loss_vfl: 1.064640 loss_bbox: 0.450926 loss_dfl: 0.436694 loss: 1.957599 eta: 19:27:13 batch_cost: 1.0253 data_cost: 0.3506 ips: 54.6189 images/s [03/18 11:53:46] ppdet.engine INFO: Epoch: [155] [520/523] learning_rate: 0.131621 loss_vfl: 1.037958 loss_bbox: 0.457802 loss_dfl: 0.418821 loss: 1.882410 eta: 19:26:52 batch_cost: 0.7843 data_cost: 0.1083 ips: 71.4015 images/s [03/18 11:53:57] ppdet.engine INFO: Epoch: [156] [ 0/523] learning_rate: 0.131613 loss_vfl: 1.030138 loss_bbox: 0.458459 loss_dfl: 0.416838 loss: 1.868582 eta: 19:26:55 batch_cost: 1.1166 data_cost: 0.4855 ips: 50.1511 images/s [03/18 11:54:20] ppdet.engine INFO: Epoch: [156] [ 20/523] learning_rate: 0.131557 loss_vfl: 1.033329 loss_bbox: 0.465521 loss_dfl: 0.427632 loss: 1.928684 eta: 19:26:37 batch_cost: 0.9801 data_cost: 0.0008 ips: 57.1387 images/s [03/18 11:54:44] ppdet.engine INFO: Epoch: [156] [ 40/523] learning_rate: 0.131501 loss_vfl: 1.079849 loss_bbox: 0.479684 loss_dfl: 0.437822 loss: 2.007385 eta: 19:26:22 batch_cost: 1.0821 data_cost: 0.3210 ips: 51.7497 images/s [03/18 11:55:04] ppdet.engine INFO: Epoch: [156] [ 60/523] learning_rate: 0.131445 loss_vfl: 1.108559 loss_bbox: 0.502806 loss_dfl: 0.463951 loss: 2.075561 eta: 19:26:02 batch_cost: 0.8766 data_cost: 0.1873 ips: 63.8798 images/s [03/18 11:55:29] ppdet.engine INFO: Epoch: [156] [ 80/523] learning_rate: 0.131389 loss_vfl: 1.056541 loss_bbox: 0.458536 loss_dfl: 0.428720 loss: 1.945824 eta: 19:25:47 batch_cost: 1.0984 data_cost: 0.2607 ips: 50.9847 images/s [03/18 11:55:50] ppdet.engine INFO: Epoch: [156] [100/523] learning_rate: 0.131333 loss_vfl: 1.105584 loss_bbox: 0.490702 loss_dfl: 0.449833 loss: 2.026412 eta: 19:25:27 batch_cost: 0.8929 data_cost: 0.3079 ips: 62.7191 images/s [03/18 11:56:14] ppdet.engine INFO: Epoch: [156] [120/523] learning_rate: 0.131277 loss_vfl: 1.034145 loss_bbox: 0.459850 loss_dfl: 0.431722 loss: 1.923417 eta: 19:25:12 batch_cost: 1.1354 data_cost: 0.5386 ips: 49.3236 images/s [03/18 11:56:32] ppdet.engine INFO: Epoch: [156] [140/523] learning_rate: 0.131221 loss_vfl: 1.005104 loss_bbox: 0.445298 loss_dfl: 0.415821 loss: 1.870626 eta: 19:24:51 batch_cost: 0.8001 data_cost: 0.1707 ips: 69.9915 images/s [03/18 11:56:50] ppdet.engine INFO: Epoch: [156] [160/523] learning_rate: 0.131164 loss_vfl: 1.042888 loss_bbox: 0.463793 loss_dfl: 0.437834 loss: 1.930043 eta: 19:24:30 batch_cost: 0.7779 data_cost: 0.1203 ips: 71.9914 images/s [03/18 11:57:10] ppdet.engine INFO: Epoch: [156] [180/523] learning_rate: 0.131108 loss_vfl: 1.076761 loss_bbox: 0.484189 loss_dfl: 0.448817 loss: 2.018398 eta: 19:24:11 batch_cost: 0.8917 data_cost: 0.0730 ips: 62.8018 images/s [03/18 11:57:32] ppdet.engine INFO: Epoch: [156] [200/523] learning_rate: 0.131052 loss_vfl: 1.041719 loss_bbox: 0.469229 loss_dfl: 0.429503 loss: 1.948615 eta: 19:23:54 batch_cost: 1.0236 data_cost: 0.1521 ips: 54.7070 images/s [03/18 11:57:54] ppdet.engine INFO: Epoch: [156] [220/523] learning_rate: 0.130996 loss_vfl: 1.059707 loss_bbox: 0.456815 loss_dfl: 0.444440 loss: 1.969483 eta: 19:23:36 batch_cost: 0.9832 data_cost: 0.2119 ips: 56.9579 images/s [03/18 11:58:16] ppdet.engine INFO: Epoch: [156] [240/523] learning_rate: 0.130940 loss_vfl: 1.069320 loss_bbox: 0.469405 loss_dfl: 0.441083 loss: 2.004761 eta: 19:23:19 batch_cost: 0.9961 data_cost: 0.2369 ips: 56.2202 images/s [03/18 11:58:39] ppdet.engine INFO: Epoch: [156] [260/523] learning_rate: 0.130884 loss_vfl: 1.067609 loss_bbox: 0.464879 loss_dfl: 0.433426 loss: 1.955275 eta: 19:23:02 batch_cost: 1.0376 data_cost: 0.4183 ips: 53.9733 images/s [03/18 11:59:02] ppdet.engine INFO: Epoch: [156] [280/523] learning_rate: 0.130828 loss_vfl: 1.060770 loss_bbox: 0.448403 loss_dfl: 0.433502 loss: 1.957400 eta: 19:22:46 batch_cost: 1.0352 data_cost: 0.4001 ips: 54.0975 images/s [03/18 11:59:26] ppdet.engine INFO: Epoch: [156] [300/523] learning_rate: 0.130772 loss_vfl: 1.054141 loss_bbox: 0.452151 loss_dfl: 0.426244 loss: 1.948999 eta: 19:22:31 batch_cost: 1.1284 data_cost: 0.4759 ips: 49.6294 images/s [03/18 11:59:46] ppdet.engine INFO: Epoch: [156] [320/523] learning_rate: 0.130716 loss_vfl: 1.042858 loss_bbox: 0.455515 loss_dfl: 0.434279 loss: 1.929220 eta: 19:22:12 batch_cost: 0.9001 data_cost: 0.1254 ips: 62.2181 images/s [03/18 12:00:06] ppdet.engine INFO: Epoch: [156] [340/523] learning_rate: 0.130660 loss_vfl: 1.070741 loss_bbox: 0.470730 loss_dfl: 0.433442 loss: 1.962654 eta: 19:21:52 batch_cost: 0.8689 data_cost: 0.1712 ips: 64.4474 images/s [03/18 12:00:29] ppdet.engine INFO: Epoch: [156] [360/523] learning_rate: 0.130604 loss_vfl: 1.080245 loss_bbox: 0.477731 loss_dfl: 0.443178 loss: 2.013977 eta: 19:21:36 batch_cost: 1.0762 data_cost: 0.3412 ips: 52.0328 images/s [03/18 12:00:52] ppdet.engine INFO: Epoch: [156] [380/523] learning_rate: 0.130548 loss_vfl: 1.052817 loss_bbox: 0.467576 loss_dfl: 0.446485 loss: 1.980995 eta: 19:21:19 batch_cost: 1.0003 data_cost: 0.1336 ips: 55.9849 images/s [03/18 12:01:10] ppdet.engine INFO: Epoch: [156] [400/523] learning_rate: 0.130492 loss_vfl: 1.074587 loss_bbox: 0.455232 loss_dfl: 0.424295 loss: 1.959864 eta: 19:20:58 batch_cost: 0.7966 data_cost: 0.1412 ips: 70.2944 images/s [03/18 12:01:28] ppdet.engine INFO: Epoch: [156] [420/523] learning_rate: 0.130436 loss_vfl: 1.047547 loss_bbox: 0.479217 loss_dfl: 0.440584 loss: 1.999899 eta: 19:20:37 batch_cost: 0.8386 data_cost: 0.2225 ips: 66.7813 images/s [03/18 12:01:50] ppdet.engine INFO: Epoch: [156] [440/523] learning_rate: 0.130380 loss_vfl: 1.087876 loss_bbox: 0.479716 loss_dfl: 0.445065 loss: 2.011699 eta: 19:20:21 batch_cost: 1.0419 data_cost: 0.2789 ips: 53.7461 images/s [03/18 12:02:13] ppdet.engine INFO: Epoch: [156] [460/523] learning_rate: 0.130324 loss_vfl: 1.093031 loss_bbox: 0.509247 loss_dfl: 0.456463 loss: 2.066136 eta: 19:20:04 batch_cost: 1.0387 data_cost: 0.2610 ips: 53.9128 images/s [03/18 12:02:35] ppdet.engine INFO: Epoch: [156] [480/523] learning_rate: 0.130268 loss_vfl: 1.091283 loss_bbox: 0.475304 loss_dfl: 0.448449 loss: 2.025090 eta: 19:19:47 batch_cost: 0.9904 data_cost: 0.1948 ips: 56.5432 images/s [03/18 12:02:58] ppdet.engine INFO: Epoch: [156] [500/523] learning_rate: 0.130212 loss_vfl: 1.048536 loss_bbox: 0.469776 loss_dfl: 0.432369 loss: 1.943136 eta: 19:19:30 batch_cost: 1.0586 data_cost: 0.2916 ips: 52.9015 images/s [03/18 12:03:14] ppdet.engine INFO: Epoch: [156] [520/523] learning_rate: 0.130156 loss_vfl: 1.047860 loss_bbox: 0.475991 loss_dfl: 0.436350 loss: 1.953097 eta: 19:19:08 batch_cost: 0.7210 data_cost: 0.2022 ips: 77.6732 images/s [03/18 12:03:28] ppdet.engine INFO: Epoch: [157] [ 0/523] learning_rate: 0.130147 loss_vfl: 1.058675 loss_bbox: 0.466247 loss_dfl: 0.436350 loss: 1.964850 eta: 19:19:13 batch_cost: 1.1915 data_cost: 0.4991 ips: 47.0000 images/s [03/18 12:03:49] ppdet.engine INFO: Epoch: [157] [ 20/523] learning_rate: 0.130091 loss_vfl: 1.077657 loss_bbox: 0.476680 loss_dfl: 0.442088 loss: 1.975779 eta: 19:18:55 batch_cost: 0.9395 data_cost: 0.0022 ips: 59.6076 images/s [03/18 12:04:13] ppdet.engine INFO: Epoch: [157] [ 40/523] learning_rate: 0.130035 loss_vfl: 1.025616 loss_bbox: 0.453399 loss_dfl: 0.431522 loss: 1.897352 eta: 19:18:41 batch_cost: 1.1559 data_cost: 0.0284 ips: 48.4465 images/s [03/18 12:04:37] ppdet.engine INFO: Epoch: [157] [ 60/523] learning_rate: 0.129979 loss_vfl: 1.054058 loss_bbox: 0.448774 loss_dfl: 0.422730 loss: 1.910815 eta: 19:18:24 batch_cost: 1.0669 data_cost: 0.0033 ips: 52.4890 images/s [03/18 12:05:01] ppdet.engine INFO: Epoch: [157] [ 80/523] learning_rate: 0.129923 loss_vfl: 1.051407 loss_bbox: 0.478491 loss_dfl: 0.438022 loss: 1.994431 eta: 19:18:08 batch_cost: 1.0778 data_cost: 0.0078 ips: 51.9582 images/s [03/18 12:05:24] ppdet.engine INFO: Epoch: [157] [100/523] learning_rate: 0.129867 loss_vfl: 1.037498 loss_bbox: 0.473327 loss_dfl: 0.433557 loss: 1.951828 eta: 19:17:52 batch_cost: 1.0716 data_cost: 0.0570 ips: 52.2596 images/s [03/18 12:05:43] ppdet.engine INFO: Epoch: [157] [120/523] learning_rate: 0.129811 loss_vfl: 1.010435 loss_bbox: 0.448128 loss_dfl: 0.415070 loss: 1.864444 eta: 19:17:32 batch_cost: 0.8435 data_cost: 0.0505 ips: 66.3924 images/s [03/18 12:06:02] ppdet.engine INFO: Epoch: [157] [140/523] learning_rate: 0.129755 loss_vfl: 1.017871 loss_bbox: 0.449575 loss_dfl: 0.419706 loss: 1.874840 eta: 19:17:13 batch_cost: 0.8888 data_cost: 0.0614 ips: 63.0049 images/s [03/18 12:06:25] ppdet.engine INFO: Epoch: [157] [160/523] learning_rate: 0.129699 loss_vfl: 1.087075 loss_bbox: 0.482681 loss_dfl: 0.441666 loss: 2.007398 eta: 19:16:56 batch_cost: 1.0221 data_cost: 0.0419 ips: 54.7882 images/s [03/18 12:06:51] ppdet.engine INFO: Epoch: [157] [180/523] learning_rate: 0.129643 loss_vfl: 1.027050 loss_bbox: 0.445073 loss_dfl: 0.419944 loss: 1.908212 eta: 19:16:42 batch_cost: 1.2008 data_cost: 0.0044 ips: 46.6368 images/s [03/18 12:07:11] ppdet.engine INFO: Epoch: [157] [200/523] learning_rate: 0.129587 loss_vfl: 1.057845 loss_bbox: 0.451861 loss_dfl: 0.433281 loss: 1.953545 eta: 19:16:24 batch_cost: 0.9338 data_cost: 0.0021 ips: 59.9710 images/s [03/18 12:07:35] ppdet.engine INFO: Epoch: [157] [220/523] learning_rate: 0.129531 loss_vfl: 1.014000 loss_bbox: 0.442972 loss_dfl: 0.409371 loss: 1.852628 eta: 19:16:08 batch_cost: 1.0931 data_cost: 0.0021 ips: 51.2318 images/s [03/18 12:07:58] ppdet.engine INFO: Epoch: [157] [240/523] learning_rate: 0.129475 loss_vfl: 1.031259 loss_bbox: 0.458181 loss_dfl: 0.416568 loss: 1.864696 eta: 19:15:52 batch_cost: 1.0717 data_cost: 0.0016 ips: 52.2525 images/s [03/18 12:08:22] ppdet.engine INFO: Epoch: [157] [260/523] learning_rate: 0.129419 loss_vfl: 1.015171 loss_bbox: 0.460142 loss_dfl: 0.432225 loss: 1.899695 eta: 19:15:36 batch_cost: 1.0646 data_cost: 0.0020 ips: 52.6009 images/s [03/18 12:08:44] ppdet.engine INFO: Epoch: [157] [280/523] learning_rate: 0.129363 loss_vfl: 1.021899 loss_bbox: 0.447694 loss_dfl: 0.423163 loss: 1.866294 eta: 19:15:19 batch_cost: 1.0255 data_cost: 0.0785 ips: 54.6058 images/s [03/18 12:09:09] ppdet.engine INFO: Epoch: [157] [300/523] learning_rate: 0.129307 loss_vfl: 1.083354 loss_bbox: 0.494715 loss_dfl: 0.448663 loss: 2.026029 eta: 19:15:04 batch_cost: 1.1518 data_cost: 0.1492 ips: 48.6202 images/s [03/18 12:09:29] ppdet.engine INFO: Epoch: [157] [320/523] learning_rate: 0.129251 loss_vfl: 1.069939 loss_bbox: 0.458068 loss_dfl: 0.438531 loss: 1.955675 eta: 19:14:46 batch_cost: 0.9395 data_cost: 0.0790 ips: 59.6088 images/s [03/18 12:09:52] ppdet.engine INFO: Epoch: [157] [340/523] learning_rate: 0.129195 loss_vfl: 1.047478 loss_bbox: 0.460844 loss_dfl: 0.433773 loss: 1.944909 eta: 19:14:29 batch_cost: 1.0279 data_cost: 0.2287 ips: 54.4816 images/s [03/18 12:10:13] ppdet.engine INFO: Epoch: [157] [360/523] learning_rate: 0.129139 loss_vfl: 0.999085 loss_bbox: 0.440154 loss_dfl: 0.417540 loss: 1.852673 eta: 19:14:10 batch_cost: 0.9212 data_cost: 0.2192 ips: 60.7913 images/s [03/18 12:10:31] ppdet.engine INFO: Epoch: [157] [380/523] learning_rate: 0.129083 loss_vfl: 1.001446 loss_bbox: 0.440905 loss_dfl: 0.410219 loss: 1.857107 eta: 19:13:50 batch_cost: 0.8452 data_cost: 0.1686 ips: 66.2561 images/s [03/18 12:10:51] ppdet.engine INFO: Epoch: [157] [400/523] learning_rate: 0.129027 loss_vfl: 1.073651 loss_bbox: 0.472506 loss_dfl: 0.440560 loss: 1.966662 eta: 19:13:31 batch_cost: 0.8867 data_cost: 0.2113 ips: 63.1552 images/s [03/18 12:11:19] ppdet.engine INFO: Epoch: [157] [420/523] learning_rate: 0.128971 loss_vfl: 1.066897 loss_bbox: 0.460529 loss_dfl: 0.438919 loss: 1.931436 eta: 19:13:19 batch_cost: 1.2971 data_cost: 0.5745 ips: 43.1727 images/s [03/18 12:11:41] ppdet.engine INFO: Epoch: [157] [440/523] learning_rate: 0.128915 loss_vfl: 1.013325 loss_bbox: 0.460432 loss_dfl: 0.423324 loss: 1.903033 eta: 19:13:02 batch_cost: 1.0484 data_cost: 0.3315 ips: 53.4161 images/s [03/18 12:12:04] ppdet.engine INFO: Epoch: [157] [460/523] learning_rate: 0.128859 loss_vfl: 1.052784 loss_bbox: 0.465576 loss_dfl: 0.432191 loss: 1.944946 eta: 19:12:46 batch_cost: 1.0318 data_cost: 0.2020 ips: 54.2731 images/s [03/18 12:12:29] ppdet.engine INFO: Epoch: [157] [480/523] learning_rate: 0.128803 loss_vfl: 1.042124 loss_bbox: 0.451258 loss_dfl: 0.440004 loss: 1.958185 eta: 19:12:31 batch_cost: 1.1680 data_cost: 0.4195 ips: 47.9435 images/s [03/18 12:12:51] ppdet.engine INFO: Epoch: [157] [500/523] learning_rate: 0.128747 loss_vfl: 1.134666 loss_bbox: 0.496537 loss_dfl: 0.467580 loss: 2.122296 eta: 19:12:14 batch_cost: 1.0226 data_cost: 0.3253 ips: 54.7638 images/s [03/18 12:13:09] ppdet.engine INFO: Epoch: [157] [520/523] learning_rate: 0.128691 loss_vfl: 1.048296 loss_bbox: 0.466734 loss_dfl: 0.441511 loss: 1.951384 eta: 19:11:53 batch_cost: 0.8014 data_cost: 0.1032 ips: 69.8771 images/s [03/18 12:13:21] ppdet.engine INFO: Epoch: [158] [ 0/523] learning_rate: 0.128683 loss_vfl: 1.024785 loss_bbox: 0.452829 loss_dfl: 0.421134 loss: 1.912337 eta: 19:11:58 batch_cost: 1.1297 data_cost: 0.3140 ips: 49.5719 images/s [03/18 12:13:41] ppdet.engine INFO: Epoch: [158] [ 20/523] learning_rate: 0.128627 loss_vfl: 1.060680 loss_bbox: 0.478760 loss_dfl: 0.439206 loss: 1.980618 eta: 19:11:38 batch_cost: 0.8759 data_cost: 0.0030 ips: 63.9309 images/s [03/18 12:14:03] ppdet.engine INFO: Epoch: [158] [ 40/523] learning_rate: 0.128571 loss_vfl: 1.048727 loss_bbox: 0.435319 loss_dfl: 0.406108 loss: 1.864822 eta: 19:11:20 batch_cost: 0.9680 data_cost: 0.1102 ips: 57.8495 images/s [03/18 12:14:26] ppdet.engine INFO: Epoch: [158] [ 60/523] learning_rate: 0.128515 loss_vfl: 1.013901 loss_bbox: 0.452701 loss_dfl: 0.433199 loss: 1.896144 eta: 19:11:03 batch_cost: 1.0317 data_cost: 0.1068 ips: 54.2794 images/s [03/18 12:14:47] ppdet.engine INFO: Epoch: [158] [ 80/523] learning_rate: 0.128459 loss_vfl: 1.039087 loss_bbox: 0.467150 loss_dfl: 0.426000 loss: 1.957397 eta: 19:10:46 batch_cost: 0.9858 data_cost: 0.3377 ips: 56.8050 images/s [03/18 12:15:05] ppdet.engine INFO: Epoch: [158] [100/523] learning_rate: 0.128403 loss_vfl: 1.032871 loss_bbox: 0.458958 loss_dfl: 0.418033 loss: 1.892174 eta: 19:10:24 batch_cost: 0.7940 data_cost: 0.1179 ips: 70.5278 images/s [03/18 12:15:25] ppdet.engine INFO: Epoch: [158] [120/523] learning_rate: 0.128347 loss_vfl: 1.038374 loss_bbox: 0.469379 loss_dfl: 0.424564 loss: 1.931941 eta: 19:10:05 batch_cost: 0.8696 data_cost: 0.1711 ips: 64.3977 images/s [03/18 12:15:46] ppdet.engine INFO: Epoch: [158] [140/523] learning_rate: 0.128291 loss_vfl: 1.061460 loss_bbox: 0.489705 loss_dfl: 0.452134 loss: 2.003224 eta: 19:09:46 batch_cost: 0.9488 data_cost: 0.2866 ips: 59.0199 images/s [03/18 12:16:08] ppdet.engine INFO: Epoch: [158] [160/523] learning_rate: 0.128235 loss_vfl: 1.039976 loss_bbox: 0.435714 loss_dfl: 0.422895 loss: 1.886638 eta: 19:09:29 batch_cost: 1.0105 data_cost: 0.4145 ips: 55.4170 images/s [03/18 12:16:31] ppdet.engine INFO: Epoch: [158] [180/523] learning_rate: 0.128179 loss_vfl: 1.034901 loss_bbox: 0.475282 loss_dfl: 0.429880 loss: 1.907346 eta: 19:09:12 batch_cost: 1.0006 data_cost: 0.2993 ips: 55.9685 images/s [03/18 12:16:51] ppdet.engine INFO: Epoch: [158] [200/523] learning_rate: 0.128123 loss_vfl: 1.082357 loss_bbox: 0.484248 loss_dfl: 0.448538 loss: 1.995277 eta: 19:08:53 batch_cost: 0.9011 data_cost: 0.3928 ips: 62.1429 images/s [03/18 12:17:14] ppdet.engine INFO: Epoch: [158] [220/523] learning_rate: 0.128067 loss_vfl: 1.121164 loss_bbox: 0.479725 loss_dfl: 0.453443 loss: 2.068208 eta: 19:08:36 batch_cost: 1.0079 data_cost: 0.2474 ips: 55.5617 images/s [03/18 12:17:34] ppdet.engine INFO: Epoch: [158] [240/523] learning_rate: 0.128011 loss_vfl: 1.057683 loss_bbox: 0.462074 loss_dfl: 0.421161 loss: 1.921370 eta: 19:08:17 batch_cost: 0.9289 data_cost: 0.0429 ips: 60.2839 images/s [03/18 12:17:57] ppdet.engine INFO: Epoch: [158] [260/523] learning_rate: 0.127955 loss_vfl: 1.052547 loss_bbox: 0.459463 loss_dfl: 0.434463 loss: 1.966496 eta: 19:08:01 batch_cost: 1.0688 data_cost: 0.1982 ips: 52.3933 images/s [03/18 12:18:20] ppdet.engine INFO: Epoch: [158] [280/523] learning_rate: 0.127899 loss_vfl: 1.068413 loss_bbox: 0.475104 loss_dfl: 0.433174 loss: 1.971690 eta: 19:07:44 batch_cost: 1.0192 data_cost: 0.3441 ips: 54.9466 images/s [03/18 12:18:42] ppdet.engine INFO: Epoch: [158] [300/523] learning_rate: 0.127843 loss_vfl: 1.017907 loss_bbox: 0.446472 loss_dfl: 0.418109 loss: 1.898876 eta: 19:07:27 batch_cost: 1.0094 data_cost: 0.3347 ips: 55.4760 images/s [03/18 12:19:03] ppdet.engine INFO: Epoch: [158] [320/523] learning_rate: 0.127787 loss_vfl: 1.068383 loss_bbox: 0.461935 loss_dfl: 0.422714 loss: 1.960879 eta: 19:07:08 batch_cost: 0.9261 data_cost: 0.3052 ips: 60.4691 images/s [03/18 12:19:23] ppdet.engine INFO: Epoch: [158] [340/523] learning_rate: 0.127731 loss_vfl: 1.068055 loss_bbox: 0.487808 loss_dfl: 0.439951 loss: 2.013062 eta: 19:06:48 batch_cost: 0.8778 data_cost: 0.2196 ips: 63.7931 images/s [03/18 12:19:40] ppdet.engine INFO: Epoch: [158] [360/523] learning_rate: 0.127675 loss_vfl: 1.021656 loss_bbox: 0.445774 loss_dfl: 0.428346 loss: 1.874536 eta: 19:06:26 batch_cost: 0.7434 data_cost: 0.1215 ips: 75.3319 images/s [03/18 12:20:00] ppdet.engine INFO: Epoch: [158] [380/523] learning_rate: 0.127619 loss_vfl: 1.025083 loss_bbox: 0.451373 loss_dfl: 0.426128 loss: 1.904258 eta: 19:06:08 batch_cost: 0.9333 data_cost: 0.2703 ips: 60.0016 images/s [03/18 12:20:22] ppdet.engine INFO: Epoch: [158] [400/523] learning_rate: 0.127563 loss_vfl: 1.008528 loss_bbox: 0.460420 loss_dfl: 0.418456 loss: 1.887084 eta: 19:05:50 batch_cost: 0.9730 data_cost: 0.2971 ips: 57.5538 images/s [03/18 12:20:45] ppdet.engine INFO: Epoch: [158] [420/523] learning_rate: 0.127507 loss_vfl: 1.080130 loss_bbox: 0.465998 loss_dfl: 0.437021 loss: 1.974690 eta: 19:05:33 batch_cost: 1.0118 data_cost: 0.2558 ips: 55.3447 images/s [03/18 12:21:06] ppdet.engine INFO: Epoch: [158] [440/523] learning_rate: 0.127451 loss_vfl: 1.072789 loss_bbox: 0.449817 loss_dfl: 0.433906 loss: 1.943518 eta: 19:05:14 batch_cost: 0.9437 data_cost: 0.3288 ips: 59.3427 images/s [03/18 12:21:29] ppdet.engine INFO: Epoch: [158] [460/523] learning_rate: 0.127395 loss_vfl: 1.099242 loss_bbox: 0.483098 loss_dfl: 0.450049 loss: 2.032559 eta: 19:04:57 batch_cost: 1.0233 data_cost: 0.3296 ips: 54.7248 images/s [03/18 12:21:50] ppdet.engine INFO: Epoch: [158] [480/523] learning_rate: 0.127339 loss_vfl: 1.016089 loss_bbox: 0.452392 loss_dfl: 0.423104 loss: 1.882689 eta: 19:04:39 batch_cost: 0.9368 data_cost: 0.2411 ips: 59.7777 images/s [03/18 12:22:12] ppdet.engine INFO: Epoch: [158] [500/523] learning_rate: 0.127283 loss_vfl: 1.043434 loss_bbox: 0.471542 loss_dfl: 0.425568 loss: 1.934892 eta: 19:04:22 batch_cost: 1.0377 data_cost: 0.2240 ips: 53.9643 images/s [03/18 12:22:30] ppdet.engine INFO: Epoch: [158] [520/523] learning_rate: 0.127228 loss_vfl: 1.040694 loss_bbox: 0.474644 loss_dfl: 0.435089 loss: 1.931491 eta: 19:04:01 batch_cost: 0.7793 data_cost: 0.1605 ips: 71.8564 images/s [03/18 12:22:44] ppdet.engine INFO: Epoch: [159] [ 0/523] learning_rate: 0.127219 loss_vfl: 1.021066 loss_bbox: 0.467502 loss_dfl: 0.427429 loss: 1.920220 eta: 19:04:07 batch_cost: 1.2909 data_cost: 0.6653 ips: 43.3810 images/s [03/18 12:23:04] ppdet.engine INFO: Epoch: [159] [ 20/523] learning_rate: 0.127163 loss_vfl: 1.102372 loss_bbox: 0.467056 loss_dfl: 0.441353 loss: 2.010224 eta: 19:03:46 batch_cost: 0.8237 data_cost: 0.0029 ips: 67.9900 images/s [03/18 12:23:25] ppdet.engine INFO: Epoch: [159] [ 40/523] learning_rate: 0.127107 loss_vfl: 1.017374 loss_bbox: 0.448807 loss_dfl: 0.416860 loss: 1.860333 eta: 19:03:26 batch_cost: 0.8364 data_cost: 0.0019 ips: 66.9554 images/s [03/18 12:23:45] ppdet.engine INFO: Epoch: [159] [ 60/523] learning_rate: 0.127051 loss_vfl: 1.061245 loss_bbox: 0.467508 loss_dfl: 0.437100 loss: 1.973608 eta: 19:03:06 batch_cost: 0.8772 data_cost: 0.0064 ips: 63.8426 images/s [03/18 12:24:03] ppdet.engine INFO: Epoch: [159] [ 80/523] learning_rate: 0.126995 loss_vfl: 1.062585 loss_bbox: 0.483486 loss_dfl: 0.447591 loss: 2.005873 eta: 19:02:45 batch_cost: 0.7739 data_cost: 0.0044 ips: 72.3645 images/s [03/18 12:24:22] ppdet.engine INFO: Epoch: [159] [100/523] learning_rate: 0.126939 loss_vfl: 1.036598 loss_bbox: 0.469200 loss_dfl: 0.434271 loss: 1.926387 eta: 19:02:23 batch_cost: 0.7803 data_cost: 0.0732 ips: 71.7693 images/s [03/18 12:24:41] ppdet.engine INFO: Epoch: [159] [120/523] learning_rate: 0.126884 loss_vfl: 1.052533 loss_bbox: 0.456001 loss_dfl: 0.425372 loss: 1.949883 eta: 19:02:03 batch_cost: 0.8349 data_cost: 0.0058 ips: 67.0769 images/s [03/18 12:25:02] ppdet.engine INFO: Epoch: [159] [140/523] learning_rate: 0.126828 loss_vfl: 1.071153 loss_bbox: 0.468015 loss_dfl: 0.438885 loss: 1.994051 eta: 19:01:43 batch_cost: 0.8446 data_cost: 0.0340 ips: 66.3042 images/s [03/18 12:25:21] ppdet.engine INFO: Epoch: [159] [160/523] learning_rate: 0.126772 loss_vfl: 1.022848 loss_bbox: 0.470652 loss_dfl: 0.428894 loss: 1.909196 eta: 19:01:22 batch_cost: 0.8054 data_cost: 0.0050 ips: 69.5326 images/s [03/18 12:25:41] ppdet.engine INFO: Epoch: [159] [180/523] learning_rate: 0.126716 loss_vfl: 0.979986 loss_bbox: 0.426796 loss_dfl: 0.406157 loss: 1.795220 eta: 19:01:02 batch_cost: 0.8330 data_cost: 0.0021 ips: 67.2234 images/s [03/18 12:26:03] ppdet.engine INFO: Epoch: [159] [200/523] learning_rate: 0.126660 loss_vfl: 1.034058 loss_bbox: 0.461633 loss_dfl: 0.433870 loss: 1.935564 eta: 19:00:43 batch_cost: 0.8895 data_cost: 0.0125 ips: 62.9587 images/s [03/18 12:26:26] ppdet.engine INFO: Epoch: [159] [220/523] learning_rate: 0.126604 loss_vfl: 1.081423 loss_bbox: 0.496411 loss_dfl: 0.457571 loss: 2.036624 eta: 19:00:24 batch_cost: 0.9347 data_cost: 0.0094 ips: 59.9120 images/s [03/18 12:26:44] ppdet.engine INFO: Epoch: [159] [240/523] learning_rate: 0.126548 loss_vfl: 1.079943 loss_bbox: 0.467893 loss_dfl: 0.434736 loss: 1.976352 eta: 19:00:03 batch_cost: 0.8016 data_cost: 0.0099 ips: 69.8600 images/s [03/18 12:27:05] ppdet.engine INFO: Epoch: [159] [260/523] learning_rate: 0.126492 loss_vfl: 1.037438 loss_bbox: 0.454622 loss_dfl: 0.425707 loss: 1.932277 eta: 18:59:45 batch_cost: 0.9415 data_cost: 0.0044 ips: 59.4771 images/s [03/18 12:27:28] ppdet.engine INFO: Epoch: [159] [280/523] learning_rate: 0.126436 loss_vfl: 1.046728 loss_bbox: 0.456053 loss_dfl: 0.423511 loss: 1.925984 eta: 18:59:27 batch_cost: 0.9623 data_cost: 0.0105 ips: 58.1911 images/s [03/18 12:27:48] ppdet.engine INFO: Epoch: [159] [300/523] learning_rate: 0.126380 loss_vfl: 0.983848 loss_bbox: 0.433992 loss_dfl: 0.398422 loss: 1.828227 eta: 18:59:05 batch_cost: 0.7686 data_cost: 0.0040 ips: 72.8611 images/s [03/18 12:28:09] ppdet.engine INFO: Epoch: [159] [320/523] learning_rate: 0.126324 loss_vfl: 1.050082 loss_bbox: 0.431796 loss_dfl: 0.420547 loss: 1.902293 eta: 18:58:45 batch_cost: 0.8557 data_cost: 0.0076 ips: 65.4431 images/s [03/18 12:28:31] ppdet.engine INFO: Epoch: [159] [340/523] learning_rate: 0.126269 loss_vfl: 1.046664 loss_bbox: 0.460533 loss_dfl: 0.435721 loss: 1.947580 eta: 18:58:28 batch_cost: 0.9828 data_cost: 0.0021 ips: 56.9784 images/s [03/18 12:28:52] ppdet.engine INFO: Epoch: [159] [360/523] learning_rate: 0.126213 loss_vfl: 1.033853 loss_bbox: 0.450294 loss_dfl: 0.417157 loss: 1.857595 eta: 18:58:09 batch_cost: 0.9285 data_cost: 0.0064 ips: 60.3115 images/s [03/18 12:29:10] ppdet.engine INFO: Epoch: [159] [380/523] learning_rate: 0.126157 loss_vfl: 1.056738 loss_bbox: 0.473080 loss_dfl: 0.441953 loss: 1.991375 eta: 18:57:47 batch_cost: 0.7571 data_cost: 0.0027 ips: 73.9692 images/s [03/18 12:29:28] ppdet.engine INFO: Epoch: [159] [400/523] learning_rate: 0.126101 loss_vfl: 1.038538 loss_bbox: 0.466344 loss_dfl: 0.433656 loss: 1.932277 eta: 18:57:27 batch_cost: 0.8175 data_cost: 0.0043 ips: 68.5008 images/s [03/18 12:29:47] ppdet.engine INFO: Epoch: [159] [420/523] learning_rate: 0.126045 loss_vfl: 1.049292 loss_bbox: 0.473783 loss_dfl: 0.433086 loss: 1.937742 eta: 18:57:05 batch_cost: 0.7671 data_cost: 0.0101 ips: 73.0055 images/s [03/18 12:30:07] ppdet.engine INFO: Epoch: [159] [440/523] learning_rate: 0.125989 loss_vfl: 1.032041 loss_bbox: 0.449427 loss_dfl: 0.420109 loss: 1.891333 eta: 18:56:45 batch_cost: 0.8552 data_cost: 0.0082 ips: 65.4809 images/s [03/18 12:30:30] ppdet.engine INFO: Epoch: [159] [460/523] learning_rate: 0.125933 loss_vfl: 1.054687 loss_bbox: 0.474752 loss_dfl: 0.443741 loss: 1.978586 eta: 18:56:27 batch_cost: 0.9757 data_cost: 0.0101 ips: 57.3962 images/s [03/18 12:30:51] ppdet.engine INFO: Epoch: [159] [480/523] learning_rate: 0.125877 loss_vfl: 1.063536 loss_bbox: 0.471744 loss_dfl: 0.430586 loss: 1.969453 eta: 18:56:07 batch_cost: 0.8321 data_cost: 0.0050 ips: 67.2959 images/s [03/18 12:31:11] ppdet.engine INFO: Epoch: [159] [500/523] learning_rate: 0.125821 loss_vfl: 1.059957 loss_bbox: 0.478660 loss_dfl: 0.438197 loss: 1.971169 eta: 18:55:47 batch_cost: 0.8632 data_cost: 0.0043 ips: 64.8743 images/s [03/18 12:31:28] ppdet.engine INFO: Epoch: [159] [520/523] learning_rate: 0.125766 loss_vfl: 1.048544 loss_bbox: 0.469052 loss_dfl: 0.430070 loss: 1.949079 eta: 18:55:26 batch_cost: 0.7953 data_cost: 0.0024 ips: 70.4153 images/s [03/18 12:31:31] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 12:31:31] ppdet.engine INFO: Eval iter: 0 [03/18 12:31:53] ppdet.engine INFO: Eval iter: 100 [03/18 12:32:04] ppdet.engine INFO: Eval iter: 200 [03/18 12:32:14] ppdet.engine INFO: Eval iter: 300 [03/18 12:32:24] ppdet.engine INFO: Eval iter: 400 [03/18 12:32:35] ppdet.engine INFO: Eval iter: 500 [03/18 12:32:45] ppdet.engine INFO: Eval iter: 600 [03/18 12:33:00] 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 12:33:00] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.49s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=83.66s). Accumulating evaluation results... DONE (t=16.26s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.234 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.357 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.249 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.077 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.240 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.388 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.243 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.396 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.422 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.149 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.465 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.678 [03/18 12:34:47] ppdet.engine INFO: Total sample number: 4952, averge FPS: 64.16468990495058 [03/18 12:34:47] ppdet.engine INFO: Best test bbox ap is 0.234. [03/18 12:34:47] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 12:34:47] ppdet.engine INFO: Epoch: [160] [ 0/523] learning_rate: 0.125757 loss_vfl: 1.048544 loss_bbox: 0.469052 loss_dfl: 0.432013 loss: 1.949079 eta: 18:55:22 batch_cost: 0.6390 data_cost: 0.0023 ips: 87.6421 images/s [03/18 12:35:06] ppdet.engine INFO: Epoch: [160] [ 20/523] learning_rate: 0.125701 loss_vfl: 1.040144 loss_bbox: 0.466770 loss_dfl: 0.434577 loss: 1.911868 eta: 18:55:01 batch_cost: 0.8277 data_cost: 0.0008 ips: 67.6582 images/s [03/18 12:35:28] ppdet.engine INFO: Epoch: [160] [ 40/523] learning_rate: 0.125645 loss_vfl: 1.075218 loss_bbox: 0.472062 loss_dfl: 0.432218 loss: 1.967774 eta: 18:54:43 batch_cost: 0.9563 data_cost: 0.0030 ips: 58.5619 images/s [03/18 12:35:49] ppdet.engine INFO: Epoch: [160] [ 60/523] learning_rate: 0.125589 loss_vfl: 1.066225 loss_bbox: 0.478601 loss_dfl: 0.453359 loss: 2.020846 eta: 18:54:24 batch_cost: 0.8941 data_cost: 0.0035 ips: 62.6339 images/s [03/18 12:36:09] ppdet.engine INFO: Epoch: [160] [ 80/523] learning_rate: 0.125534 loss_vfl: 1.031676 loss_bbox: 0.472091 loss_dfl: 0.436927 loss: 1.938770 eta: 18:54:04 batch_cost: 0.8464 data_cost: 0.0048 ips: 66.1588 images/s [03/18 12:36:30] ppdet.engine INFO: Epoch: [160] [100/523] learning_rate: 0.125478 loss_vfl: 1.038164 loss_bbox: 0.458095 loss_dfl: 0.430233 loss: 1.920191 eta: 18:53:46 batch_cost: 0.9498 data_cost: 0.0142 ips: 58.9625 images/s [03/18 12:36:52] ppdet.engine INFO: Epoch: [160] [120/523] learning_rate: 0.125422 loss_vfl: 1.081807 loss_bbox: 0.456326 loss_dfl: 0.443221 loss: 1.977154 eta: 18:53:28 batch_cost: 0.9672 data_cost: 0.0057 ips: 57.8997 images/s [03/18 12:37:14] ppdet.engine INFO: Epoch: [160] [140/523] learning_rate: 0.125366 loss_vfl: 1.008890 loss_bbox: 0.405398 loss_dfl: 0.405216 loss: 1.823048 eta: 18:53:10 batch_cost: 0.9853 data_cost: 0.0103 ips: 56.8383 images/s [03/18 12:37:36] ppdet.engine INFO: Epoch: [160] [160/523] learning_rate: 0.125310 loss_vfl: 1.051714 loss_bbox: 0.468050 loss_dfl: 0.438254 loss: 1.987617 eta: 18:52:52 batch_cost: 0.9888 data_cost: 0.0018 ips: 56.6326 images/s [03/18 12:37:56] ppdet.engine INFO: Epoch: [160] [180/523] learning_rate: 0.125254 loss_vfl: 1.062564 loss_bbox: 0.469168 loss_dfl: 0.444513 loss: 1.978568 eta: 18:52:33 batch_cost: 0.8720 data_cost: 0.0025 ips: 64.2188 images/s [03/18 12:38:15] ppdet.engine INFO: Epoch: [160] [200/523] learning_rate: 0.125198 loss_vfl: 1.084269 loss_bbox: 0.474309 loss_dfl: 0.450994 loss: 2.002848 eta: 18:52:12 batch_cost: 0.7791 data_cost: 0.0122 ips: 71.8789 images/s [03/18 12:38:33] ppdet.engine INFO: Epoch: [160] [220/523] learning_rate: 0.125143 loss_vfl: 1.072623 loss_bbox: 0.465327 loss_dfl: 0.448523 loss: 1.994135 eta: 18:51:51 batch_cost: 0.7969 data_cost: 0.0026 ips: 70.2747 images/s [03/18 12:38:51] ppdet.engine INFO: Epoch: [160] [240/523] learning_rate: 0.125087 loss_vfl: 1.033403 loss_bbox: 0.445032 loss_dfl: 0.429496 loss: 1.899843 eta: 18:51:29 batch_cost: 0.7503 data_cost: 0.0051 ips: 74.6386 images/s [03/18 12:39:15] ppdet.engine INFO: Epoch: [160] [260/523] learning_rate: 0.125031 loss_vfl: 1.062875 loss_bbox: 0.448916 loss_dfl: 0.426807 loss: 1.923435 eta: 18:51:13 batch_cost: 1.0894 data_cost: 0.0073 ips: 51.4021 images/s [03/18 12:39:36] ppdet.engine INFO: Epoch: [160] [280/523] learning_rate: 0.124975 loss_vfl: 1.034758 loss_bbox: 0.451692 loss_dfl: 0.426965 loss: 1.908050 eta: 18:50:54 batch_cost: 0.9222 data_cost: 0.0037 ips: 60.7263 images/s [03/18 12:39:56] ppdet.engine INFO: Epoch: [160] [300/523] learning_rate: 0.124919 loss_vfl: 1.039542 loss_bbox: 0.429011 loss_dfl: 0.402366 loss: 1.903903 eta: 18:50:35 batch_cost: 0.8734 data_cost: 0.0162 ips: 64.1178 images/s [03/18 12:40:16] ppdet.engine INFO: Epoch: [160] [320/523] learning_rate: 0.124863 loss_vfl: 1.078627 loss_bbox: 0.491883 loss_dfl: 0.444934 loss: 2.028286 eta: 18:50:14 batch_cost: 0.8321 data_cost: 0.0068 ips: 67.3007 images/s [03/18 12:40:38] ppdet.engine INFO: Epoch: [160] [340/523] learning_rate: 0.124807 loss_vfl: 1.043572 loss_bbox: 0.435825 loss_dfl: 0.411298 loss: 1.896709 eta: 18:49:56 batch_cost: 0.9625 data_cost: 0.0065 ips: 58.1794 images/s [03/18 12:40:58] ppdet.engine INFO: Epoch: [160] [360/523] learning_rate: 0.124752 loss_vfl: 1.060665 loss_bbox: 0.482725 loss_dfl: 0.439510 loss: 1.987316 eta: 18:49:37 batch_cost: 0.8603 data_cost: 0.0046 ips: 65.0915 images/s [03/18 12:41:21] ppdet.engine INFO: Epoch: [160] [380/523] learning_rate: 0.124696 loss_vfl: 1.076527 loss_bbox: 0.448404 loss_dfl: 0.437553 loss: 1.957451 eta: 18:49:19 batch_cost: 1.0022 data_cost: 0.0056 ips: 55.8791 images/s [03/18 12:41:39] ppdet.engine INFO: Epoch: [160] [400/523] learning_rate: 0.124640 loss_vfl: 1.099586 loss_bbox: 0.487599 loss_dfl: 0.452506 loss: 2.044517 eta: 18:48:57 batch_cost: 0.7084 data_cost: 0.0033 ips: 79.0505 images/s [03/18 12:42:00] ppdet.engine INFO: Epoch: [160] [420/523] learning_rate: 0.124584 loss_vfl: 1.054542 loss_bbox: 0.470564 loss_dfl: 0.439254 loss: 1.966559 eta: 18:48:37 batch_cost: 0.8905 data_cost: 0.0067 ips: 62.8871 images/s [03/18 12:42:21] ppdet.engine INFO: Epoch: [160] [440/523] learning_rate: 0.124528 loss_vfl: 1.064744 loss_bbox: 0.457404 loss_dfl: 0.440735 loss: 1.985019 eta: 18:48:19 batch_cost: 0.9166 data_cost: 0.0032 ips: 61.0925 images/s [03/18 12:42:44] ppdet.engine INFO: Epoch: [160] [460/523] learning_rate: 0.124473 loss_vfl: 1.039790 loss_bbox: 0.481428 loss_dfl: 0.441675 loss: 1.965999 eta: 18:48:01 batch_cost: 1.0149 data_cost: 0.0030 ips: 55.1793 images/s [03/18 12:43:04] ppdet.engine INFO: Epoch: [160] [480/523] learning_rate: 0.124417 loss_vfl: 1.015231 loss_bbox: 0.448610 loss_dfl: 0.413938 loss: 1.886148 eta: 18:47:41 batch_cost: 0.8163 data_cost: 0.0052 ips: 68.6002 images/s [03/18 12:43:21] ppdet.engine INFO: Epoch: [160] [500/523] learning_rate: 0.124361 loss_vfl: 1.038233 loss_bbox: 0.451578 loss_dfl: 0.420450 loss: 1.902159 eta: 18:47:19 batch_cost: 0.7645 data_cost: 0.0087 ips: 73.2553 images/s [03/18 12:43:36] ppdet.engine INFO: Epoch: [160] [520/523] learning_rate: 0.124305 loss_vfl: 1.061586 loss_bbox: 0.463904 loss_dfl: 0.444178 loss: 1.970336 eta: 18:46:55 batch_cost: 0.6050 data_cost: 0.0130 ips: 92.5563 images/s [03/18 12:43:50] ppdet.engine INFO: Epoch: [161] [ 0/523] learning_rate: 0.124297 loss_vfl: 1.065083 loss_bbox: 0.468987 loss_dfl: 0.447411 loss: 1.981001 eta: 18:47:01 batch_cost: 1.1285 data_cost: 0.5449 ips: 49.6233 images/s [03/18 12:44:12] ppdet.engine INFO: Epoch: [161] [ 20/523] learning_rate: 0.124241 loss_vfl: 1.013845 loss_bbox: 0.448050 loss_dfl: 0.422524 loss: 1.901620 eta: 18:46:41 batch_cost: 0.8645 data_cost: 0.0184 ips: 64.7792 images/s [03/18 12:44:33] ppdet.engine INFO: Epoch: [161] [ 40/523] learning_rate: 0.124185 loss_vfl: 1.028409 loss_bbox: 0.481436 loss_dfl: 0.433237 loss: 1.949378 eta: 18:46:21 batch_cost: 0.8240 data_cost: 0.0050 ips: 67.9611 images/s [03/18 12:44:58] ppdet.engine INFO: Epoch: [161] [ 60/523] learning_rate: 0.124129 loss_vfl: 1.043731 loss_bbox: 0.468742 loss_dfl: 0.435867 loss: 1.948878 eta: 18:46:04 batch_cost: 1.0389 data_cost: 0.0009 ips: 53.9053 images/s [03/18 12:45:22] ppdet.engine INFO: Epoch: [161] [ 80/523] learning_rate: 0.124073 loss_vfl: 1.071262 loss_bbox: 0.486841 loss_dfl: 0.450565 loss: 2.010072 eta: 18:45:45 batch_cost: 0.9150 data_cost: 0.0024 ips: 61.2033 images/s [03/18 12:45:43] ppdet.engine INFO: Epoch: [161] [100/523] learning_rate: 0.124018 loss_vfl: 1.025067 loss_bbox: 0.440535 loss_dfl: 0.406744 loss: 1.869822 eta: 18:45:25 batch_cost: 0.8413 data_cost: 0.0081 ips: 66.5636 images/s [03/18 12:46:07] ppdet.engine INFO: Epoch: [161] [120/523] learning_rate: 0.123962 loss_vfl: 1.061513 loss_bbox: 0.476791 loss_dfl: 0.437229 loss: 1.957982 eta: 18:45:08 batch_cost: 1.0193 data_cost: 0.1326 ips: 54.9417 images/s [03/18 12:46:30] ppdet.engine INFO: Epoch: [161] [140/523] learning_rate: 0.123906 loss_vfl: 1.003776 loss_bbox: 0.441285 loss_dfl: 0.404307 loss: 1.856854 eta: 18:44:49 batch_cost: 0.8992 data_cost: 0.0246 ips: 62.2796 images/s [03/18 12:46:53] ppdet.engine INFO: Epoch: [161] [160/523] learning_rate: 0.123850 loss_vfl: 1.009745 loss_bbox: 0.452689 loss_dfl: 0.413363 loss: 1.864838 eta: 18:44:31 batch_cost: 0.9829 data_cost: 0.0042 ips: 56.9732 images/s [03/18 12:47:16] ppdet.engine INFO: Epoch: [161] [180/523] learning_rate: 0.123794 loss_vfl: 1.055947 loss_bbox: 0.456784 loss_dfl: 0.434687 loss: 1.951731 eta: 18:44:14 batch_cost: 1.0356 data_cost: 0.0641 ips: 54.0757 images/s [03/18 12:47:38] ppdet.engine INFO: Epoch: [161] [200/523] learning_rate: 0.123739 loss_vfl: 1.056833 loss_bbox: 0.452710 loss_dfl: 0.430860 loss: 1.924133 eta: 18:43:55 batch_cost: 0.8785 data_cost: 0.0020 ips: 63.7453 images/s [03/18 12:47:58] ppdet.engine INFO: Epoch: [161] [220/523] learning_rate: 0.123683 loss_vfl: 1.047542 loss_bbox: 0.442893 loss_dfl: 0.425163 loss: 1.930058 eta: 18:43:35 batch_cost: 0.8653 data_cost: 0.0033 ips: 64.7210 images/s [03/18 12:48:18] ppdet.engine INFO: Epoch: [161] [240/523] learning_rate: 0.123627 loss_vfl: 1.031420 loss_bbox: 0.464497 loss_dfl: 0.424609 loss: 1.880663 eta: 18:43:15 batch_cost: 0.8399 data_cost: 0.0027 ips: 66.6772 images/s [03/18 12:48:39] ppdet.engine INFO: Epoch: [161] [260/523] learning_rate: 0.123571 loss_vfl: 1.063707 loss_bbox: 0.482569 loss_dfl: 0.451864 loss: 2.024976 eta: 18:42:54 batch_cost: 0.8161 data_cost: 0.0010 ips: 68.6175 images/s [03/18 12:49:03] ppdet.engine INFO: Epoch: [161] [280/523] learning_rate: 0.123515 loss_vfl: 1.015352 loss_bbox: 0.449423 loss_dfl: 0.421798 loss: 1.876576 eta: 18:42:37 batch_cost: 0.9920 data_cost: 0.0037 ips: 56.4495 images/s [03/18 12:49:25] ppdet.engine INFO: Epoch: [161] [300/523] learning_rate: 0.123460 loss_vfl: 1.034756 loss_bbox: 0.443035 loss_dfl: 0.420770 loss: 1.896788 eta: 18:42:19 batch_cost: 0.9737 data_cost: 0.0062 ips: 57.5099 images/s [03/18 12:49:49] ppdet.engine INFO: Epoch: [161] [320/523] learning_rate: 0.123404 loss_vfl: 1.059699 loss_bbox: 0.441925 loss_dfl: 0.419509 loss: 1.939898 eta: 18:42:02 batch_cost: 1.0076 data_cost: 0.0051 ips: 55.5765 images/s [03/18 12:50:11] ppdet.engine INFO: Epoch: [161] [340/523] learning_rate: 0.123348 loss_vfl: 1.034523 loss_bbox: 0.466846 loss_dfl: 0.438709 loss: 1.929816 eta: 18:41:43 batch_cost: 0.9547 data_cost: 0.0052 ips: 58.6599 images/s [03/18 12:50:34] ppdet.engine INFO: Epoch: [161] [360/523] learning_rate: 0.123292 loss_vfl: 1.032781 loss_bbox: 0.450229 loss_dfl: 0.432507 loss: 1.921997 eta: 18:41:26 batch_cost: 0.9848 data_cost: 0.0060 ips: 56.8669 images/s [03/18 12:50:55] ppdet.engine INFO: Epoch: [161] [380/523] learning_rate: 0.123237 loss_vfl: 1.050004 loss_bbox: 0.476906 loss_dfl: 0.430146 loss: 1.954221 eta: 18:41:06 batch_cost: 0.8543 data_cost: 0.0061 ips: 65.5521 images/s [03/18 12:51:20] ppdet.engine INFO: Epoch: [161] [400/523] learning_rate: 0.123181 loss_vfl: 0.998978 loss_bbox: 0.450761 loss_dfl: 0.420305 loss: 1.885668 eta: 18:40:49 batch_cost: 1.0207 data_cost: 0.0043 ips: 54.8651 images/s [03/18 12:51:41] ppdet.engine INFO: Epoch: [161] [420/523] learning_rate: 0.123125 loss_vfl: 1.030112 loss_bbox: 0.469677 loss_dfl: 0.437130 loss: 1.921016 eta: 18:40:30 batch_cost: 0.8992 data_cost: 0.0032 ips: 62.2809 images/s [03/18 12:52:02] ppdet.engine INFO: Epoch: [161] [440/523] learning_rate: 0.123069 loss_vfl: 0.983638 loss_bbox: 0.438761 loss_dfl: 0.406184 loss: 1.829598 eta: 18:40:10 batch_cost: 0.8967 data_cost: 0.0065 ips: 62.4517 images/s [03/18 12:52:23] ppdet.engine INFO: Epoch: [161] [460/523] learning_rate: 0.123014 loss_vfl: 1.094608 loss_bbox: 0.497223 loss_dfl: 0.451281 loss: 2.062898 eta: 18:39:51 batch_cost: 0.8840 data_cost: 0.0066 ips: 63.3458 images/s [03/18 12:52:42] ppdet.engine INFO: Epoch: [161] [480/523] learning_rate: 0.122958 loss_vfl: 1.064549 loss_bbox: 0.461771 loss_dfl: 0.444629 loss: 1.973639 eta: 18:39:29 batch_cost: 0.7340 data_cost: 0.0085 ips: 76.2968 images/s [03/18 12:53:03] ppdet.engine INFO: Epoch: [161] [500/523] learning_rate: 0.122902 loss_vfl: 1.028230 loss_bbox: 0.441666 loss_dfl: 0.421367 loss: 1.904334 eta: 18:39:11 batch_cost: 0.9693 data_cost: 0.0065 ips: 57.7736 images/s [03/18 12:53:21] ppdet.engine INFO: Epoch: [161] [520/523] learning_rate: 0.122846 loss_vfl: 1.062934 loss_bbox: 0.466707 loss_dfl: 0.442261 loss: 1.974115 eta: 18:38:51 batch_cost: 0.8110 data_cost: 0.0024 ips: 69.0492 images/s [03/18 12:53:33] ppdet.engine INFO: Epoch: [162] [ 0/523] learning_rate: 0.122838 loss_vfl: 1.062934 loss_bbox: 0.464833 loss_dfl: 0.437751 loss: 1.974115 eta: 18:38:54 batch_cost: 1.1244 data_cost: 0.4318 ips: 49.8059 images/s [03/18 12:53:56] ppdet.engine INFO: Epoch: [162] [ 20/523] learning_rate: 0.122782 loss_vfl: 1.075641 loss_bbox: 0.504574 loss_dfl: 0.449687 loss: 2.028026 eta: 18:38:35 batch_cost: 0.9089 data_cost: 0.0439 ips: 61.6100 images/s [03/18 12:54:18] ppdet.engine INFO: Epoch: [162] [ 40/523] learning_rate: 0.122726 loss_vfl: 1.016946 loss_bbox: 0.427842 loss_dfl: 0.408905 loss: 1.864355 eta: 18:38:17 batch_cost: 0.9729 data_cost: 0.1074 ips: 57.5589 images/s [03/18 12:54:41] ppdet.engine INFO: Epoch: [162] [ 60/523] learning_rate: 0.122671 loss_vfl: 1.052355 loss_bbox: 0.446033 loss_dfl: 0.425423 loss: 1.904314 eta: 18:37:58 batch_cost: 0.9099 data_cost: 0.0731 ips: 61.5484 images/s [03/18 12:55:02] ppdet.engine INFO: Epoch: [162] [ 80/523] learning_rate: 0.122615 loss_vfl: 1.017772 loss_bbox: 0.442705 loss_dfl: 0.414270 loss: 1.913328 eta: 18:37:38 batch_cost: 0.8700 data_cost: 0.1207 ips: 64.3704 images/s [03/18 12:55:25] ppdet.engine INFO: Epoch: [162] [100/523] learning_rate: 0.122559 loss_vfl: 1.063269 loss_bbox: 0.475836 loss_dfl: 0.436616 loss: 1.958410 eta: 18:37:21 batch_cost: 1.0068 data_cost: 0.2635 ips: 55.6215 images/s [03/18 12:55:49] ppdet.engine INFO: Epoch: [162] [120/523] learning_rate: 0.122504 loss_vfl: 1.035196 loss_bbox: 0.437083 loss_dfl: 0.419866 loss: 1.889320 eta: 18:37:05 batch_cost: 1.0538 data_cost: 0.2235 ips: 53.1395 images/s [03/18 12:56:11] ppdet.engine INFO: Epoch: [162] [140/523] learning_rate: 0.122448 loss_vfl: 1.033516 loss_bbox: 0.470749 loss_dfl: 0.441685 loss: 1.948176 eta: 18:36:46 batch_cost: 0.9070 data_cost: 0.0687 ips: 61.7424 images/s [03/18 12:56:33] ppdet.engine INFO: Epoch: [162] [160/523] learning_rate: 0.122392 loss_vfl: 1.071051 loss_bbox: 0.475046 loss_dfl: 0.442028 loss: 1.965720 eta: 18:36:28 batch_cost: 0.9760 data_cost: 0.2455 ips: 57.3743 images/s [03/18 12:56:51] ppdet.engine INFO: Epoch: [162] [180/523] learning_rate: 0.122336 loss_vfl: 1.059688 loss_bbox: 0.441145 loss_dfl: 0.423866 loss: 1.910330 eta: 18:36:06 batch_cost: 0.7670 data_cost: 0.2807 ips: 73.0141 images/s [03/18 12:57:10] ppdet.engine INFO: Epoch: [162] [200/523] learning_rate: 0.122281 loss_vfl: 1.065786 loss_bbox: 0.493455 loss_dfl: 0.444138 loss: 1.978867 eta: 18:35:45 batch_cost: 0.7396 data_cost: 0.0555 ips: 75.7195 images/s [03/18 12:57:30] ppdet.engine INFO: Epoch: [162] [220/523] learning_rate: 0.122225 loss_vfl: 1.089296 loss_bbox: 0.478451 loss_dfl: 0.459582 loss: 2.016230 eta: 18:35:25 batch_cost: 0.8829 data_cost: 0.1592 ips: 63.4301 images/s [03/18 12:57:55] ppdet.engine INFO: Epoch: [162] [240/523] learning_rate: 0.122169 loss_vfl: 1.044758 loss_bbox: 0.442126 loss_dfl: 0.426412 loss: 1.933669 eta: 18:35:10 batch_cost: 1.1466 data_cost: 0.4845 ips: 48.8392 images/s [03/18 12:58:15] ppdet.engine INFO: Epoch: [162] [260/523] learning_rate: 0.122113 loss_vfl: 1.069378 loss_bbox: 0.443859 loss_dfl: 0.416137 loss: 1.941691 eta: 18:34:51 batch_cost: 0.8652 data_cost: 0.1534 ips: 64.7279 images/s [03/18 12:58:38] ppdet.engine INFO: Epoch: [162] [280/523] learning_rate: 0.122058 loss_vfl: 1.079548 loss_bbox: 0.478902 loss_dfl: 0.429454 loss: 1.983806 eta: 18:34:33 batch_cost: 0.9761 data_cost: 0.1423 ips: 57.3710 images/s [03/18 12:58:58] ppdet.engine INFO: Epoch: [162] [300/523] learning_rate: 0.122002 loss_vfl: 1.049341 loss_bbox: 0.458208 loss_dfl: 0.429562 loss: 1.953504 eta: 18:34:13 batch_cost: 0.8448 data_cost: 0.0737 ips: 66.2913 images/s [03/18 12:59:22] ppdet.engine INFO: Epoch: [162] [320/523] learning_rate: 0.121946 loss_vfl: 1.047705 loss_bbox: 0.464804 loss_dfl: 0.434964 loss: 1.949330 eta: 18:33:55 batch_cost: 0.9772 data_cost: 0.2781 ips: 57.3092 images/s [03/18 12:59:42] ppdet.engine INFO: Epoch: [162] [340/523] learning_rate: 0.121891 loss_vfl: 1.092113 loss_bbox: 0.469889 loss_dfl: 0.442507 loss: 2.036351 eta: 18:33:36 batch_cost: 0.9171 data_cost: 0.1475 ips: 61.0592 images/s [03/18 13:00:07] ppdet.engine INFO: Epoch: [162] [360/523] learning_rate: 0.121835 loss_vfl: 1.011337 loss_bbox: 0.441678 loss_dfl: 0.409967 loss: 1.879473 eta: 18:33:21 batch_cost: 1.1091 data_cost: 0.4411 ips: 50.4906 images/s [03/18 13:00:27] ppdet.engine INFO: Epoch: [162] [380/523] learning_rate: 0.121779 loss_vfl: 1.082363 loss_bbox: 0.464116 loss_dfl: 0.438792 loss: 1.990208 eta: 18:33:01 batch_cost: 0.9032 data_cost: 0.2384 ips: 62.0039 images/s [03/18 13:00:49] ppdet.engine INFO: Epoch: [162] [400/523] learning_rate: 0.121724 loss_vfl: 1.099832 loss_bbox: 0.483417 loss_dfl: 0.457936 loss: 2.053988 eta: 18:32:43 batch_cost: 0.9298 data_cost: 0.2224 ips: 60.2258 images/s [03/18 13:01:10] ppdet.engine INFO: Epoch: [162] [420/523] learning_rate: 0.121668 loss_vfl: 1.064380 loss_bbox: 0.461023 loss_dfl: 0.433458 loss: 1.937912 eta: 18:32:25 batch_cost: 0.9525 data_cost: 0.1516 ips: 58.7943 images/s [03/18 13:01:31] ppdet.engine INFO: Epoch: [162] [440/523] learning_rate: 0.121612 loss_vfl: 1.063196 loss_bbox: 0.465159 loss_dfl: 0.442337 loss: 1.983574 eta: 18:32:06 batch_cost: 0.9300 data_cost: 0.1958 ips: 60.2139 images/s [03/18 13:01:48] ppdet.engine INFO: Epoch: [162] [460/523] learning_rate: 0.121556 loss_vfl: 1.039216 loss_bbox: 0.445157 loss_dfl: 0.412239 loss: 1.891713 eta: 18:31:44 batch_cost: 0.7176 data_cost: 0.0049 ips: 78.0398 images/s [03/18 13:02:08] ppdet.engine INFO: Epoch: [162] [480/523] learning_rate: 0.121501 loss_vfl: 1.081610 loss_bbox: 0.477056 loss_dfl: 0.452047 loss: 2.014288 eta: 18:31:23 batch_cost: 0.8133 data_cost: 0.0006 ips: 68.8528 images/s [03/18 13:02:29] ppdet.engine INFO: Epoch: [162] [500/523] learning_rate: 0.121445 loss_vfl: 1.099136 loss_bbox: 0.469934 loss_dfl: 0.449088 loss: 2.019810 eta: 18:31:04 batch_cost: 0.8880 data_cost: 0.1200 ips: 63.0612 images/s [03/18 13:02:48] ppdet.engine INFO: Epoch: [162] [520/523] learning_rate: 0.121389 loss_vfl: 1.039778 loss_bbox: 0.442568 loss_dfl: 0.434679 loss: 1.914778 eta: 18:30:43 batch_cost: 0.7936 data_cost: 0.1607 ips: 70.5676 images/s [03/18 13:03:02] ppdet.engine INFO: Epoch: [163] [ 0/523] learning_rate: 0.121381 loss_vfl: 1.041493 loss_bbox: 0.457722 loss_dfl: 0.436911 loss: 1.932737 eta: 18:30:48 batch_cost: 1.2286 data_cost: 0.5977 ips: 45.5796 images/s [03/18 13:03:26] ppdet.engine INFO: Epoch: [163] [ 20/523] learning_rate: 0.121325 loss_vfl: 1.053106 loss_bbox: 0.458315 loss_dfl: 0.423007 loss: 1.936431 eta: 18:30:32 batch_cost: 1.0981 data_cost: 0.3428 ips: 50.9958 images/s [03/18 13:03:47] ppdet.engine INFO: Epoch: [163] [ 40/523] learning_rate: 0.121270 loss_vfl: 1.077067 loss_bbox: 0.462685 loss_dfl: 0.428948 loss: 1.943069 eta: 18:30:13 batch_cost: 0.8843 data_cost: 0.0397 ips: 63.3290 images/s [03/18 13:04:12] ppdet.engine INFO: Epoch: [163] [ 60/523] learning_rate: 0.121214 loss_vfl: 1.069256 loss_bbox: 0.485518 loss_dfl: 0.450110 loss: 2.031664 eta: 18:29:55 batch_cost: 1.0124 data_cost: 0.3774 ips: 55.3154 images/s [03/18 13:04:35] ppdet.engine INFO: Epoch: [163] [ 80/523] learning_rate: 0.121158 loss_vfl: 1.051808 loss_bbox: 0.468992 loss_dfl: 0.448735 loss: 1.986593 eta: 18:29:36 batch_cost: 0.8756 data_cost: 0.1863 ips: 63.9579 images/s [03/18 13:04:59] ppdet.engine INFO: Epoch: [163] [100/523] learning_rate: 0.121103 loss_vfl: 1.016605 loss_bbox: 0.447049 loss_dfl: 0.414548 loss: 1.875804 eta: 18:29:19 batch_cost: 1.0346 data_cost: 0.0528 ips: 54.1297 images/s [03/18 13:05:20] ppdet.engine INFO: Epoch: [163] [120/523] learning_rate: 0.121047 loss_vfl: 1.044615 loss_bbox: 0.450887 loss_dfl: 0.425007 loss: 1.909590 eta: 18:28:59 batch_cost: 0.8163 data_cost: 0.0081 ips: 68.6011 images/s [03/18 13:05:45] ppdet.engine INFO: Epoch: [163] [140/523] learning_rate: 0.120991 loss_vfl: 1.083339 loss_bbox: 0.456119 loss_dfl: 0.443053 loss: 1.976971 eta: 18:28:43 batch_cost: 1.0851 data_cost: 0.2485 ips: 51.6100 images/s [03/18 13:06:05] ppdet.engine INFO: Epoch: [163] [160/523] learning_rate: 0.120936 loss_vfl: 1.072689 loss_bbox: 0.484166 loss_dfl: 0.446374 loss: 2.023623 eta: 18:28:22 batch_cost: 0.7993 data_cost: 0.0058 ips: 70.0656 images/s [03/18 13:06:22] ppdet.engine INFO: Epoch: [163] [180/523] learning_rate: 0.120880 loss_vfl: 1.035180 loss_bbox: 0.444462 loss_dfl: 0.428410 loss: 1.904543 eta: 18:28:00 batch_cost: 0.7592 data_cost: 0.0017 ips: 73.7663 images/s [03/18 13:06:41] ppdet.engine INFO: Epoch: [163] [200/523] learning_rate: 0.120825 loss_vfl: 1.039143 loss_bbox: 0.452868 loss_dfl: 0.421708 loss: 1.941992 eta: 18:27:40 batch_cost: 0.8056 data_cost: 0.0636 ips: 69.5160 images/s [03/18 13:07:08] ppdet.engine INFO: Epoch: [163] [220/523] learning_rate: 0.120769 loss_vfl: 1.101435 loss_bbox: 0.470063 loss_dfl: 0.462430 loss: 2.042071 eta: 18:27:25 batch_cost: 1.1440 data_cost: 0.0794 ips: 48.9510 images/s [03/18 13:07:29] ppdet.engine INFO: Epoch: [163] [240/523] learning_rate: 0.120713 loss_vfl: 1.118392 loss_bbox: 0.493830 loss_dfl: 0.449200 loss: 2.062126 eta: 18:27:04 batch_cost: 0.8302 data_cost: 0.0077 ips: 67.4576 images/s [03/18 13:07:52] ppdet.engine INFO: Epoch: [163] [260/523] learning_rate: 0.120658 loss_vfl: 1.017697 loss_bbox: 0.451996 loss_dfl: 0.417334 loss: 1.884490 eta: 18:26:44 batch_cost: 0.8501 data_cost: 0.0069 ips: 65.8740 images/s [03/18 13:08:14] ppdet.engine INFO: Epoch: [163] [280/523] learning_rate: 0.120602 loss_vfl: 1.089917 loss_bbox: 0.481402 loss_dfl: 0.437699 loss: 2.010094 eta: 18:26:25 batch_cost: 0.8689 data_cost: 0.0464 ips: 64.4493 images/s [03/18 13:08:39] ppdet.engine INFO: Epoch: [163] [300/523] learning_rate: 0.120546 loss_vfl: 1.012227 loss_bbox: 0.443724 loss_dfl: 0.412849 loss: 1.849250 eta: 18:26:07 batch_cost: 0.9808 data_cost: 0.0535 ips: 57.0968 images/s [03/18 13:09:00] ppdet.engine INFO: Epoch: [163] [320/523] learning_rate: 0.120491 loss_vfl: 1.052229 loss_bbox: 0.442224 loss_dfl: 0.425870 loss: 1.915521 eta: 18:25:48 batch_cost: 0.8985 data_cost: 0.0715 ips: 62.3229 images/s [03/18 13:09:23] ppdet.engine INFO: Epoch: [163] [340/523] learning_rate: 0.120435 loss_vfl: 0.986315 loss_bbox: 0.429880 loss_dfl: 0.405200 loss: 1.823087 eta: 18:25:29 batch_cost: 0.9341 data_cost: 0.0602 ips: 59.9520 images/s [03/18 13:09:44] ppdet.engine INFO: Epoch: [163] [360/523] learning_rate: 0.120379 loss_vfl: 1.029191 loss_bbox: 0.458481 loss_dfl: 0.425584 loss: 1.924341 eta: 18:25:10 batch_cost: 0.8814 data_cost: 0.1302 ips: 63.5367 images/s [03/18 13:10:09] ppdet.engine INFO: Epoch: [163] [380/523] learning_rate: 0.120324 loss_vfl: 1.018672 loss_bbox: 0.447835 loss_dfl: 0.422885 loss: 1.896772 eta: 18:24:53 batch_cost: 1.0430 data_cost: 0.2551 ips: 53.6918 images/s [03/18 13:10:29] ppdet.engine INFO: Epoch: [163] [400/523] learning_rate: 0.120268 loss_vfl: 1.036706 loss_bbox: 0.452503 loss_dfl: 0.418762 loss: 1.913536 eta: 18:24:33 batch_cost: 0.8528 data_cost: 0.2188 ips: 65.6651 images/s [03/18 13:10:47] ppdet.engine INFO: Epoch: [163] [420/523] learning_rate: 0.120213 loss_vfl: 1.062774 loss_bbox: 0.480540 loss_dfl: 0.446880 loss: 1.963917 eta: 18:24:12 batch_cost: 0.7446 data_cost: 0.0058 ips: 75.2064 images/s [03/18 13:11:08] ppdet.engine INFO: Epoch: [163] [440/523] learning_rate: 0.120157 loss_vfl: 1.053104 loss_bbox: 0.451095 loss_dfl: 0.426876 loss: 1.921557 eta: 18:23:51 batch_cost: 0.8264 data_cost: 0.0423 ips: 67.7598 images/s [03/18 13:11:30] ppdet.engine INFO: Epoch: [163] [460/523] learning_rate: 0.120101 loss_vfl: 1.045464 loss_bbox: 0.451435 loss_dfl: 0.417472 loss: 1.919585 eta: 18:23:34 batch_cost: 1.0018 data_cost: 0.2424 ips: 55.9009 images/s [03/18 13:11:54] ppdet.engine INFO: Epoch: [163] [480/523] learning_rate: 0.120046 loss_vfl: 1.032635 loss_bbox: 0.464213 loss_dfl: 0.424431 loss: 1.916780 eta: 18:23:17 batch_cost: 1.0222 data_cost: 0.1148 ips: 54.7856 images/s [03/18 13:12:17] ppdet.engine INFO: Epoch: [163] [500/523] learning_rate: 0.119990 loss_vfl: 1.103095 loss_bbox: 0.486812 loss_dfl: 0.446713 loss: 2.034553 eta: 18:22:58 batch_cost: 0.9281 data_cost: 0.0012 ips: 60.3357 images/s [03/18 13:12:35] ppdet.engine INFO: Epoch: [163] [520/523] learning_rate: 0.119935 loss_vfl: 1.087064 loss_bbox: 0.498654 loss_dfl: 0.453740 loss: 2.022460 eta: 18:22:37 batch_cost: 0.7691 data_cost: 0.0045 ips: 72.8085 images/s [03/18 13:12:49] ppdet.engine INFO: Epoch: [164] [ 0/523] learning_rate: 0.119926 loss_vfl: 1.065773 loss_bbox: 0.465085 loss_dfl: 0.435507 loss: 1.983658 eta: 18:22:43 batch_cost: 1.2674 data_cost: 0.5521 ips: 44.1864 images/s [03/18 13:13:12] ppdet.engine INFO: Epoch: [164] [ 20/523] learning_rate: 0.119871 loss_vfl: 1.049293 loss_bbox: 0.436891 loss_dfl: 0.414935 loss: 1.866378 eta: 18:22:25 batch_cost: 1.0213 data_cost: 0.0027 ips: 54.8316 images/s [03/18 13:13:37] ppdet.engine INFO: Epoch: [164] [ 40/523] learning_rate: 0.119815 loss_vfl: 0.962522 loss_bbox: 0.447843 loss_dfl: 0.413194 loss: 1.816368 eta: 18:22:09 batch_cost: 1.0721 data_cost: 0.0074 ips: 52.2319 images/s [03/18 13:13:59] ppdet.engine INFO: Epoch: [164] [ 60/523] learning_rate: 0.119760 loss_vfl: 1.074425 loss_bbox: 0.466156 loss_dfl: 0.455760 loss: 2.032367 eta: 18:21:51 batch_cost: 0.9611 data_cost: 0.0522 ips: 58.2669 images/s [03/18 13:14:23] ppdet.engine INFO: Epoch: [164] [ 80/523] learning_rate: 0.119704 loss_vfl: 1.029223 loss_bbox: 0.445453 loss_dfl: 0.414269 loss: 1.908251 eta: 18:21:33 batch_cost: 0.9809 data_cost: 0.2471 ips: 57.0881 images/s [03/18 13:14:47] ppdet.engine INFO: Epoch: [164] [100/523] learning_rate: 0.119648 loss_vfl: 1.085227 loss_bbox: 0.474354 loss_dfl: 0.447374 loss: 2.012494 eta: 18:21:17 batch_cost: 1.0411 data_cost: 0.1188 ips: 53.7908 images/s [03/18 13:15:05] ppdet.engine INFO: Epoch: [164] [120/523] learning_rate: 0.119593 loss_vfl: 1.049175 loss_bbox: 0.462054 loss_dfl: 0.422940 loss: 1.916478 eta: 18:20:55 batch_cost: 0.7324 data_cost: 0.0024 ips: 76.4635 images/s [03/18 13:15:26] ppdet.engine INFO: Epoch: [164] [140/523] learning_rate: 0.119537 loss_vfl: 1.074109 loss_bbox: 0.468893 loss_dfl: 0.436968 loss: 1.990472 eta: 18:20:35 batch_cost: 0.8553 data_cost: 0.0931 ips: 65.4716 images/s [03/18 13:15:51] ppdet.engine INFO: Epoch: [164] [160/523] learning_rate: 0.119482 loss_vfl: 0.998165 loss_bbox: 0.412295 loss_dfl: 0.400384 loss: 1.831216 eta: 18:20:18 batch_cost: 1.0516 data_cost: 0.2662 ips: 53.2539 images/s [03/18 13:16:12] ppdet.engine INFO: Epoch: [164] [180/523] learning_rate: 0.119426 loss_vfl: 1.101550 loss_bbox: 0.463983 loss_dfl: 0.446001 loss: 2.009488 eta: 18:20:00 batch_cost: 0.9250 data_cost: 0.1161 ips: 60.5410 images/s [03/18 13:16:39] ppdet.engine INFO: Epoch: [164] [200/523] learning_rate: 0.119371 loss_vfl: 1.079458 loss_bbox: 0.464993 loss_dfl: 0.436692 loss: 2.005363 eta: 18:19:44 batch_cost: 1.1249 data_cost: 0.2510 ips: 49.7806 images/s [03/18 13:17:00] ppdet.engine INFO: Epoch: [164] [220/523] learning_rate: 0.119315 loss_vfl: 1.058618 loss_bbox: 0.469286 loss_dfl: 0.432925 loss: 1.935445 eta: 18:19:24 batch_cost: 0.8529 data_cost: 0.0651 ips: 65.6597 images/s [03/18 13:17:24] ppdet.engine INFO: Epoch: [164] [240/523] learning_rate: 0.119259 loss_vfl: 1.063427 loss_bbox: 0.466102 loss_dfl: 0.433660 loss: 1.977749 eta: 18:19:08 batch_cost: 1.0426 data_cost: 0.1185 ips: 53.7116 images/s [03/18 13:17:49] ppdet.engine INFO: Epoch: [164] [260/523] learning_rate: 0.119204 loss_vfl: 1.069412 loss_bbox: 0.491065 loss_dfl: 0.449737 loss: 2.048732 eta: 18:18:52 batch_cost: 1.0889 data_cost: 0.2826 ips: 51.4298 images/s [03/18 13:18:10] ppdet.engine INFO: Epoch: [164] [280/523] learning_rate: 0.119148 loss_vfl: 1.010373 loss_bbox: 0.452884 loss_dfl: 0.429316 loss: 1.901427 eta: 18:18:32 batch_cost: 0.8783 data_cost: 0.1067 ips: 63.7613 images/s [03/18 13:18:34] ppdet.engine INFO: Epoch: [164] [300/523] learning_rate: 0.119093 loss_vfl: 1.017026 loss_bbox: 0.445020 loss_dfl: 0.405509 loss: 1.867526 eta: 18:18:13 batch_cost: 0.9316 data_cost: 0.0507 ips: 60.1116 images/s [03/18 13:18:59] ppdet.engine INFO: Epoch: [164] [320/523] learning_rate: 0.119037 loss_vfl: 1.060273 loss_bbox: 0.455522 loss_dfl: 0.445973 loss: 1.971831 eta: 18:17:56 batch_cost: 1.0102 data_cost: 0.0057 ips: 55.4334 images/s [03/18 13:19:19] ppdet.engine INFO: Epoch: [164] [340/523] learning_rate: 0.118982 loss_vfl: 1.104006 loss_bbox: 0.481488 loss_dfl: 0.445324 loss: 2.012378 eta: 18:17:35 batch_cost: 0.8005 data_cost: 0.1456 ips: 69.9576 images/s [03/18 13:19:37] ppdet.engine INFO: Epoch: [164] [360/523] learning_rate: 0.118926 loss_vfl: 0.966614 loss_bbox: 0.417858 loss_dfl: 0.391917 loss: 1.761567 eta: 18:17:15 batch_cost: 0.8009 data_cost: 0.0095 ips: 69.9245 images/s [03/18 13:19:58] ppdet.engine INFO: Epoch: [164] [380/523] learning_rate: 0.118871 loss_vfl: 1.032873 loss_bbox: 0.457155 loss_dfl: 0.432088 loss: 1.911711 eta: 18:16:55 batch_cost: 0.8396 data_cost: 0.0747 ips: 66.6947 images/s [03/18 13:20:24] ppdet.engine INFO: Epoch: [164] [400/523] learning_rate: 0.118815 loss_vfl: 1.034935 loss_bbox: 0.433711 loss_dfl: 0.420194 loss: 1.881417 eta: 18:16:39 batch_cost: 1.1149 data_cost: 0.0708 ips: 50.2301 images/s [03/18 13:20:45] ppdet.engine INFO: Epoch: [164] [420/523] learning_rate: 0.118760 loss_vfl: 1.040665 loss_bbox: 0.482265 loss_dfl: 0.435473 loss: 1.967841 eta: 18:16:21 batch_cost: 0.9518 data_cost: 0.1448 ips: 58.8389 images/s [03/18 13:21:08] ppdet.engine INFO: Epoch: [164] [440/523] learning_rate: 0.118704 loss_vfl: 1.037513 loss_bbox: 0.465315 loss_dfl: 0.431615 loss: 1.926171 eta: 18:16:01 batch_cost: 0.8794 data_cost: 0.1030 ips: 63.6814 images/s [03/18 13:21:32] ppdet.engine INFO: Epoch: [164] [460/523] learning_rate: 0.118649 loss_vfl: 1.049244 loss_bbox: 0.443403 loss_dfl: 0.433118 loss: 1.930851 eta: 18:15:44 batch_cost: 1.0275 data_cost: 0.0984 ips: 54.5002 images/s [03/18 13:21:55] ppdet.engine INFO: Epoch: [164] [480/523] learning_rate: 0.118593 loss_vfl: 1.093745 loss_bbox: 0.486447 loss_dfl: 0.456369 loss: 2.041974 eta: 18:15:26 batch_cost: 0.9624 data_cost: 0.0819 ips: 58.1874 images/s [03/18 13:22:19] ppdet.engine INFO: Epoch: [164] [500/523] learning_rate: 0.118538 loss_vfl: 1.033738 loss_bbox: 0.465291 loss_dfl: 0.416285 loss: 1.906710 eta: 18:15:09 batch_cost: 1.0026 data_cost: 0.2656 ips: 55.8574 images/s [03/18 13:22:38] ppdet.engine INFO: Epoch: [164] [520/523] learning_rate: 0.118482 loss_vfl: 1.029096 loss_bbox: 0.461159 loss_dfl: 0.434333 loss: 1.931748 eta: 18:14:49 batch_cost: 0.8440 data_cost: 0.1180 ips: 66.3515 images/s [03/18 13:22:51] ppdet.engine INFO: Epoch: [165] [ 0/523] learning_rate: 0.118474 loss_vfl: 1.037278 loss_bbox: 0.463865 loss_dfl: 0.435463 loss: 1.933093 eta: 18:14:53 batch_cost: 1.2364 data_cost: 0.5974 ips: 45.2926 images/s [03/18 13:23:15] ppdet.engine INFO: Epoch: [165] [ 20/523] learning_rate: 0.118418 loss_vfl: 1.058285 loss_bbox: 0.464819 loss_dfl: 0.434342 loss: 1.942975 eta: 18:14:35 batch_cost: 0.9715 data_cost: 0.0066 ips: 57.6405 images/s [03/18 13:23:39] ppdet.engine INFO: Epoch: [165] [ 40/523] learning_rate: 0.118363 loss_vfl: 1.039777 loss_bbox: 0.456161 loss_dfl: 0.436073 loss: 1.929614 eta: 18:14:18 batch_cost: 1.0461 data_cost: 0.1734 ips: 53.5316 images/s [03/18 13:23:57] ppdet.engine INFO: Epoch: [165] [ 60/523] learning_rate: 0.118307 loss_vfl: 1.045647 loss_bbox: 0.453556 loss_dfl: 0.424569 loss: 1.915400 eta: 18:13:56 batch_cost: 0.7157 data_cost: 0.0052 ips: 78.2465 images/s [03/18 13:24:17] ppdet.engine INFO: Epoch: [165] [ 80/523] learning_rate: 0.118252 loss_vfl: 1.049624 loss_bbox: 0.471840 loss_dfl: 0.430792 loss: 1.947728 eta: 18:13:35 batch_cost: 0.7949 data_cost: 0.0938 ips: 70.4534 images/s [03/18 13:24:41] ppdet.engine INFO: Epoch: [165] [100/523] learning_rate: 0.118196 loss_vfl: 1.058408 loss_bbox: 0.474428 loss_dfl: 0.438219 loss: 1.979476 eta: 18:13:19 batch_cost: 1.0751 data_cost: 0.3168 ips: 52.0891 images/s [03/18 13:25:04] ppdet.engine INFO: Epoch: [165] [120/523] learning_rate: 0.118141 loss_vfl: 1.023946 loss_bbox: 0.440063 loss_dfl: 0.424418 loss: 1.915309 eta: 18:13:02 batch_cost: 1.0524 data_cost: 0.2468 ips: 53.2106 images/s [03/18 13:25:25] ppdet.engine INFO: Epoch: [165] [140/523] learning_rate: 0.118085 loss_vfl: 1.037311 loss_bbox: 0.451927 loss_dfl: 0.429406 loss: 1.933177 eta: 18:12:44 batch_cost: 0.9141 data_cost: 0.1434 ips: 61.2613 images/s [03/18 13:25:51] ppdet.engine INFO: Epoch: [165] [160/523] learning_rate: 0.118030 loss_vfl: 1.048659 loss_bbox: 0.451150 loss_dfl: 0.422962 loss: 1.915010 eta: 18:12:27 batch_cost: 1.0407 data_cost: 0.0054 ips: 53.8115 images/s [03/18 13:26:14] ppdet.engine INFO: Epoch: [165] [180/523] learning_rate: 0.117974 loss_vfl: 1.017403 loss_bbox: 0.444568 loss_dfl: 0.421064 loss: 1.870425 eta: 18:12:08 batch_cost: 0.9432 data_cost: 0.0056 ips: 59.3748 images/s [03/18 13:26:36] ppdet.engine INFO: Epoch: [165] [200/523] learning_rate: 0.117919 loss_vfl: 1.061037 loss_bbox: 0.461281 loss_dfl: 0.430160 loss: 1.959116 eta: 18:11:51 batch_cost: 0.9873 data_cost: 0.1925 ips: 56.7180 images/s [03/18 13:26:59] ppdet.engine INFO: Epoch: [165] [220/523] learning_rate: 0.117863 loss_vfl: 1.058579 loss_bbox: 0.453759 loss_dfl: 0.435353 loss: 1.934474 eta: 18:11:32 batch_cost: 0.9492 data_cost: 0.0023 ips: 58.9989 images/s [03/18 13:27:21] ppdet.engine INFO: Epoch: [165] [240/523] learning_rate: 0.117808 loss_vfl: 1.011367 loss_bbox: 0.462472 loss_dfl: 0.422240 loss: 1.867850 eta: 18:11:14 batch_cost: 0.9478 data_cost: 0.0807 ips: 59.0829 images/s [03/18 13:27:46] ppdet.engine INFO: Epoch: [165] [260/523] learning_rate: 0.117752 loss_vfl: 1.040960 loss_bbox: 0.473990 loss_dfl: 0.434970 loss: 1.944985 eta: 18:10:59 batch_cost: 1.1419 data_cost: 0.2239 ips: 49.0416 images/s [03/18 13:28:08] ppdet.engine INFO: Epoch: [165] [280/523] learning_rate: 0.117697 loss_vfl: 0.995352 loss_bbox: 0.451743 loss_dfl: 0.417816 loss: 1.860590 eta: 18:10:37 batch_cost: 0.7555 data_cost: 0.0072 ips: 74.1229 images/s [03/18 13:28:27] ppdet.engine INFO: Epoch: [165] [300/523] learning_rate: 0.117642 loss_vfl: 1.052626 loss_bbox: 0.472130 loss_dfl: 0.434854 loss: 1.953901 eta: 18:10:16 batch_cost: 0.7479 data_cost: 0.0028 ips: 74.8786 images/s [03/18 13:28:46] ppdet.engine INFO: Epoch: [165] [320/523] learning_rate: 0.117586 loss_vfl: 1.043607 loss_bbox: 0.470918 loss_dfl: 0.432313 loss: 1.969663 eta: 18:09:55 batch_cost: 0.7711 data_cost: 0.0040 ips: 72.6213 images/s [03/18 13:29:09] ppdet.engine INFO: Epoch: [165] [340/523] learning_rate: 0.117531 loss_vfl: 1.176034 loss_bbox: 0.500767 loss_dfl: 0.476929 loss: 2.142440 eta: 18:09:36 batch_cost: 0.9428 data_cost: 0.0052 ips: 59.3988 images/s [03/18 13:29:32] ppdet.engine INFO: Epoch: [165] [360/523] learning_rate: 0.117475 loss_vfl: 1.074815 loss_bbox: 0.500612 loss_dfl: 0.452292 loss: 2.028845 eta: 18:09:19 batch_cost: 0.9994 data_cost: 0.0568 ips: 56.0339 images/s [03/18 13:29:53] ppdet.engine INFO: Epoch: [165] [380/523] learning_rate: 0.117420 loss_vfl: 1.055332 loss_bbox: 0.452389 loss_dfl: 0.426364 loss: 1.942710 eta: 18:08:58 batch_cost: 0.7877 data_cost: 0.0019 ips: 71.0934 images/s [03/18 13:30:17] ppdet.engine INFO: Epoch: [165] [400/523] learning_rate: 0.117364 loss_vfl: 1.068153 loss_bbox: 0.474570 loss_dfl: 0.440265 loss: 1.979711 eta: 18:08:42 batch_cost: 1.1031 data_cost: 0.2597 ips: 50.7682 images/s [03/18 13:30:41] ppdet.engine INFO: Epoch: [165] [420/523] learning_rate: 0.117309 loss_vfl: 0.986089 loss_bbox: 0.424957 loss_dfl: 0.407885 loss: 1.846015 eta: 18:08:25 batch_cost: 1.0338 data_cost: 0.2868 ips: 54.1670 images/s [03/18 13:31:03] ppdet.engine INFO: Epoch: [165] [440/523] learning_rate: 0.117254 loss_vfl: 0.996529 loss_bbox: 0.423373 loss_dfl: 0.407880 loss: 1.814066 eta: 18:08:08 batch_cost: 1.0020 data_cost: 0.1441 ips: 55.8887 images/s [03/18 13:31:26] ppdet.engine INFO: Epoch: [165] [460/523] learning_rate: 0.117198 loss_vfl: 1.023895 loss_bbox: 0.463776 loss_dfl: 0.413706 loss: 1.912818 eta: 18:07:49 batch_cost: 0.9352 data_cost: 0.0571 ips: 59.8822 images/s [03/18 13:31:49] ppdet.engine INFO: Epoch: [165] [480/523] learning_rate: 0.117143 loss_vfl: 1.015812 loss_bbox: 0.454718 loss_dfl: 0.425305 loss: 1.895691 eta: 18:07:31 batch_cost: 0.9827 data_cost: 0.0901 ips: 56.9838 images/s [03/18 13:32:12] ppdet.engine INFO: Epoch: [165] [500/523] learning_rate: 0.117087 loss_vfl: 1.083552 loss_bbox: 0.467563 loss_dfl: 0.456960 loss: 2.011798 eta: 18:07:13 batch_cost: 0.9620 data_cost: 0.1126 ips: 58.2125 images/s [03/18 13:32:30] ppdet.engine INFO: Epoch: [165] [520/523] learning_rate: 0.117032 loss_vfl: 1.055576 loss_bbox: 0.455464 loss_dfl: 0.438156 loss: 1.956758 eta: 18:06:52 batch_cost: 0.7977 data_cost: 0.0343 ips: 70.2000 images/s [03/18 13:32:42] ppdet.engine INFO: Epoch: [166] [ 0/523] learning_rate: 0.117024 loss_vfl: 1.047263 loss_bbox: 0.459575 loss_dfl: 0.428358 loss: 1.938114 eta: 18:06:55 batch_cost: 1.1313 data_cost: 0.3558 ips: 49.5009 images/s [03/18 13:33:00] ppdet.engine INFO: Epoch: [166] [ 20/523] learning_rate: 0.116968 loss_vfl: 0.948667 loss_bbox: 0.433723 loss_dfl: 0.398371 loss: 1.779299 eta: 18:06:34 batch_cost: 0.7412 data_cost: 0.0026 ips: 75.5545 images/s [03/18 13:33:19] ppdet.engine INFO: Epoch: [166] [ 40/523] learning_rate: 0.116913 loss_vfl: 1.086720 loss_bbox: 0.462474 loss_dfl: 0.443565 loss: 1.967867 eta: 18:06:12 batch_cost: 0.7552 data_cost: 0.0012 ips: 74.1503 images/s [03/18 13:33:40] ppdet.engine INFO: Epoch: [166] [ 60/523] learning_rate: 0.116857 loss_vfl: 1.029615 loss_bbox: 0.458344 loss_dfl: 0.420359 loss: 1.901285 eta: 18:05:54 batch_cost: 0.9665 data_cost: 0.0600 ips: 57.9415 images/s [03/18 13:34:01] ppdet.engine INFO: Epoch: [166] [ 80/523] learning_rate: 0.116802 loss_vfl: 0.999773 loss_bbox: 0.441839 loss_dfl: 0.408580 loss: 1.841563 eta: 18:05:36 batch_cost: 0.9367 data_cost: 0.0299 ips: 59.7848 images/s [03/18 13:34:24] ppdet.engine INFO: Epoch: [166] [100/523] learning_rate: 0.116747 loss_vfl: 1.053070 loss_bbox: 0.451974 loss_dfl: 0.425936 loss: 1.905051 eta: 18:05:19 batch_cost: 1.0179 data_cost: 0.0143 ips: 55.0130 images/s [03/18 13:34:46] ppdet.engine INFO: Epoch: [166] [120/523] learning_rate: 0.116691 loss_vfl: 1.025409 loss_bbox: 0.465746 loss_dfl: 0.424974 loss: 1.919118 eta: 18:04:59 batch_cost: 0.9005 data_cost: 0.0014 ips: 62.1887 images/s [03/18 13:35:06] ppdet.engine INFO: Epoch: [166] [140/523] learning_rate: 0.116636 loss_vfl: 1.058470 loss_bbox: 0.490761 loss_dfl: 0.453519 loss: 2.016578 eta: 18:04:40 batch_cost: 0.8960 data_cost: 0.0032 ips: 62.4996 images/s [03/18 13:35:29] ppdet.engine INFO: Epoch: [166] [160/523] learning_rate: 0.116580 loss_vfl: 1.012284 loss_bbox: 0.438993 loss_dfl: 0.415015 loss: 1.851241 eta: 18:04:22 batch_cost: 0.9222 data_cost: 0.0185 ips: 60.7261 images/s [03/18 13:35:51] ppdet.engine INFO: Epoch: [166] [180/523] learning_rate: 0.116525 loss_vfl: 1.069387 loss_bbox: 0.446526 loss_dfl: 0.434844 loss: 1.953737 eta: 18:04:02 batch_cost: 0.8483 data_cost: 0.0058 ips: 66.0158 images/s [03/18 13:36:11] ppdet.engine INFO: Epoch: [166] [200/523] learning_rate: 0.116470 loss_vfl: 0.993243 loss_bbox: 0.429335 loss_dfl: 0.410033 loss: 1.824160 eta: 18:03:42 batch_cost: 0.8499 data_cost: 0.0025 ips: 65.8864 images/s [03/18 13:36:33] ppdet.engine INFO: Epoch: [166] [220/523] learning_rate: 0.116414 loss_vfl: 1.025073 loss_bbox: 0.453467 loss_dfl: 0.425623 loss: 1.917779 eta: 18:03:23 batch_cost: 0.9195 data_cost: 0.1319 ips: 60.9006 images/s [03/18 13:36:57] ppdet.engine INFO: Epoch: [166] [240/523] learning_rate: 0.116359 loss_vfl: 1.030630 loss_bbox: 0.462593 loss_dfl: 0.434545 loss: 1.923937 eta: 18:03:07 batch_cost: 1.0799 data_cost: 0.1570 ips: 51.8569 images/s [03/18 13:37:18] ppdet.engine INFO: Epoch: [166] [260/523] learning_rate: 0.116304 loss_vfl: 1.062842 loss_bbox: 0.464882 loss_dfl: 0.439922 loss: 1.982973 eta: 18:02:47 batch_cost: 0.8675 data_cost: 0.0057 ips: 64.5519 images/s [03/18 13:37:35] ppdet.engine INFO: Epoch: [166] [280/523] learning_rate: 0.116248 loss_vfl: 1.037913 loss_bbox: 0.438847 loss_dfl: 0.415006 loss: 1.882749 eta: 18:02:25 batch_cost: 0.7205 data_cost: 0.0014 ips: 77.7202 images/s [03/18 13:37:52] ppdet.engine INFO: Epoch: [166] [300/523] learning_rate: 0.116193 loss_vfl: 1.006683 loss_bbox: 0.424414 loss_dfl: 0.400235 loss: 1.830014 eta: 18:02:04 batch_cost: 0.7527 data_cost: 0.0311 ips: 74.4032 images/s [03/18 13:38:14] ppdet.engine INFO: Epoch: [166] [320/523] learning_rate: 0.116137 loss_vfl: 0.965186 loss_bbox: 0.408982 loss_dfl: 0.385179 loss: 1.757558 eta: 18:01:46 batch_cost: 0.9653 data_cost: 0.3057 ips: 58.0113 images/s [03/18 13:38:34] ppdet.engine INFO: Epoch: [166] [340/523] learning_rate: 0.116082 loss_vfl: 1.010460 loss_bbox: 0.434139 loss_dfl: 0.425863 loss: 1.875515 eta: 18:01:26 batch_cost: 0.8400 data_cost: 0.1545 ips: 66.6653 images/s [03/18 13:38:56] ppdet.engine INFO: Epoch: [166] [360/523] learning_rate: 0.116027 loss_vfl: 1.060896 loss_bbox: 0.478410 loss_dfl: 0.441156 loss: 1.977322 eta: 18:01:06 batch_cost: 0.8887 data_cost: 0.2608 ips: 63.0124 images/s [03/18 13:39:17] ppdet.engine INFO: Epoch: [166] [380/523] learning_rate: 0.115971 loss_vfl: 1.081655 loss_bbox: 0.474271 loss_dfl: 0.439645 loss: 2.001734 eta: 18:00:48 batch_cost: 0.9261 data_cost: 0.2685 ips: 60.4675 images/s [03/18 13:39:40] ppdet.engine INFO: Epoch: [166] [400/523] learning_rate: 0.115916 loss_vfl: 1.056092 loss_bbox: 0.437470 loss_dfl: 0.414329 loss: 1.908895 eta: 18:00:30 batch_cost: 1.0117 data_cost: 0.2484 ips: 55.3540 images/s [03/18 13:40:01] ppdet.engine INFO: Epoch: [166] [420/523] learning_rate: 0.115861 loss_vfl: 0.997066 loss_bbox: 0.449715 loss_dfl: 0.421853 loss: 1.854821 eta: 18:00:11 batch_cost: 0.9061 data_cost: 0.1706 ips: 61.8023 images/s [03/18 13:40:22] ppdet.engine INFO: Epoch: [166] [440/523] learning_rate: 0.115805 loss_vfl: 1.077008 loss_bbox: 0.484769 loss_dfl: 0.447749 loss: 2.023362 eta: 17:59:53 batch_cost: 0.9587 data_cost: 0.1051 ips: 58.4103 images/s [03/18 13:40:42] ppdet.engine INFO: Epoch: [166] [460/523] learning_rate: 0.115750 loss_vfl: 1.020836 loss_bbox: 0.463088 loss_dfl: 0.427901 loss: 1.913599 eta: 17:59:34 batch_cost: 0.8808 data_cost: 0.0514 ips: 63.5811 images/s [03/18 13:41:02] ppdet.engine INFO: Epoch: [166] [480/523] learning_rate: 0.115695 loss_vfl: 1.090534 loss_bbox: 0.492143 loss_dfl: 0.446882 loss: 2.025112 eta: 17:59:15 batch_cost: 0.8911 data_cost: 0.1112 ips: 62.8439 images/s [03/18 13:41:24] ppdet.engine INFO: Epoch: [166] [500/523] learning_rate: 0.115639 loss_vfl: 1.077072 loss_bbox: 0.475241 loss_dfl: 0.441696 loss: 1.967495 eta: 17:58:55 batch_cost: 0.8811 data_cost: 0.0637 ips: 63.5577 images/s [03/18 13:41:42] ppdet.engine INFO: Epoch: [166] [520/523] learning_rate: 0.115584 loss_vfl: 1.097999 loss_bbox: 0.487626 loss_dfl: 0.454096 loss: 2.027665 eta: 17:58:34 batch_cost: 0.8022 data_cost: 0.0241 ips: 69.8061 images/s [03/18 13:41:55] ppdet.engine INFO: Epoch: [167] [ 0/523] learning_rate: 0.115576 loss_vfl: 1.097999 loss_bbox: 0.477674 loss_dfl: 0.452079 loss: 2.014051 eta: 17:58:38 batch_cost: 1.1620 data_cost: 0.4370 ips: 48.1934 images/s [03/18 13:42:14] ppdet.engine INFO: Epoch: [167] [ 20/523] learning_rate: 0.115521 loss_vfl: 1.028442 loss_bbox: 0.474446 loss_dfl: 0.434572 loss: 1.926615 eta: 17:58:17 batch_cost: 0.7645 data_cost: 0.0040 ips: 73.2543 images/s [03/18 13:42:31] ppdet.engine INFO: Epoch: [167] [ 40/523] learning_rate: 0.115465 loss_vfl: 1.043955 loss_bbox: 0.467178 loss_dfl: 0.433219 loss: 1.951799 eta: 17:57:55 batch_cost: 0.7063 data_cost: 0.0067 ips: 79.2865 images/s [03/18 13:42:53] ppdet.engine INFO: Epoch: [167] [ 60/523] learning_rate: 0.115410 loss_vfl: 1.071231 loss_bbox: 0.475657 loss_dfl: 0.448900 loss: 1.987466 eta: 17:57:36 batch_cost: 0.9144 data_cost: 0.2502 ips: 61.2438 images/s [03/18 13:43:18] ppdet.engine INFO: Epoch: [167] [ 80/523] learning_rate: 0.115355 loss_vfl: 1.064562 loss_bbox: 0.464963 loss_dfl: 0.438210 loss: 1.962574 eta: 17:57:20 batch_cost: 1.0708 data_cost: 0.3371 ips: 52.2964 images/s [03/18 13:43:38] ppdet.engine INFO: Epoch: [167] [100/523] learning_rate: 0.115299 loss_vfl: 0.998782 loss_bbox: 0.444199 loss_dfl: 0.412687 loss: 1.845315 eta: 17:56:59 batch_cost: 0.8194 data_cost: 0.0544 ips: 68.3417 images/s [03/18 13:44:02] ppdet.engine INFO: Epoch: [167] [120/523] learning_rate: 0.115244 loss_vfl: 1.070734 loss_bbox: 0.480507 loss_dfl: 0.439470 loss: 1.987904 eta: 17:56:43 batch_cost: 1.0445 data_cost: 0.2828 ips: 53.6166 images/s [03/18 13:44:23] ppdet.engine INFO: Epoch: [167] [140/523] learning_rate: 0.115189 loss_vfl: 1.088104 loss_bbox: 0.477940 loss_dfl: 0.447694 loss: 2.013858 eta: 17:56:23 batch_cost: 0.8990 data_cost: 0.0844 ips: 62.2911 images/s [03/18 13:44:44] ppdet.engine INFO: Epoch: [167] [160/523] learning_rate: 0.115134 loss_vfl: 1.040524 loss_bbox: 0.464334 loss_dfl: 0.430530 loss: 1.932086 eta: 17:56:04 batch_cost: 0.8568 data_cost: 0.0936 ips: 65.3601 images/s [03/18 13:45:08] ppdet.engine INFO: Epoch: [167] [180/523] learning_rate: 0.115078 loss_vfl: 0.977600 loss_bbox: 0.408763 loss_dfl: 0.393963 loss: 1.765450 eta: 17:55:47 batch_cost: 1.0202 data_cost: 0.1229 ips: 54.8889 images/s [03/18 13:45:30] ppdet.engine INFO: Epoch: [167] [200/523] learning_rate: 0.115023 loss_vfl: 1.042738 loss_bbox: 0.435793 loss_dfl: 0.413150 loss: 1.922492 eta: 17:55:28 batch_cost: 0.9311 data_cost: 0.0439 ips: 60.1453 images/s [03/18 13:45:53] ppdet.engine INFO: Epoch: [167] [220/523] learning_rate: 0.114968 loss_vfl: 1.053884 loss_bbox: 0.459041 loss_dfl: 0.423538 loss: 1.927652 eta: 17:55:10 batch_cost: 0.9955 data_cost: 0.1119 ips: 56.2532 images/s [03/18 13:46:14] ppdet.engine INFO: Epoch: [167] [240/523] learning_rate: 0.114912 loss_vfl: 1.062118 loss_bbox: 0.471530 loss_dfl: 0.443705 loss: 1.975910 eta: 17:54:52 batch_cost: 0.9271 data_cost: 0.0474 ips: 60.4062 images/s [03/18 13:46:34] ppdet.engine INFO: Epoch: [167] [260/523] learning_rate: 0.114857 loss_vfl: 1.013258 loss_bbox: 0.439921 loss_dfl: 0.413794 loss: 1.886189 eta: 17:54:31 batch_cost: 0.7767 data_cost: 0.1443 ips: 72.0982 images/s [03/18 13:46:56] ppdet.engine INFO: Epoch: [167] [280/523] learning_rate: 0.114802 loss_vfl: 1.087019 loss_bbox: 0.468902 loss_dfl: 0.459611 loss: 2.013067 eta: 17:54:13 batch_cost: 0.9673 data_cost: 0.2107 ips: 57.8945 images/s [03/18 13:47:12] ppdet.engine INFO: Epoch: [167] [300/523] learning_rate: 0.114747 loss_vfl: 1.032460 loss_bbox: 0.461825 loss_dfl: 0.437922 loss: 1.945336 eta: 17:53:50 batch_cost: 0.6941 data_cost: 0.0033 ips: 80.6761 images/s [03/18 13:47:32] ppdet.engine INFO: Epoch: [167] [320/523] learning_rate: 0.114691 loss_vfl: 1.078681 loss_bbox: 0.485378 loss_dfl: 0.439833 loss: 2.001055 eta: 17:53:29 batch_cost: 0.7883 data_cost: 0.1609 ips: 71.0375 images/s [03/18 13:47:56] ppdet.engine INFO: Epoch: [167] [340/523] learning_rate: 0.114636 loss_vfl: 1.018709 loss_bbox: 0.449474 loss_dfl: 0.413535 loss: 1.875389 eta: 17:53:12 batch_cost: 1.0118 data_cost: 0.2336 ips: 55.3447 images/s [03/18 13:48:18] ppdet.engine INFO: Epoch: [167] [360/523] learning_rate: 0.114581 loss_vfl: 1.055438 loss_bbox: 0.462922 loss_dfl: 0.428791 loss: 1.947094 eta: 17:52:54 batch_cost: 0.9506 data_cost: 0.2055 ips: 58.9091 images/s [03/18 13:48:40] ppdet.engine INFO: Epoch: [167] [380/523] learning_rate: 0.114526 loss_vfl: 1.042592 loss_bbox: 0.447323 loss_dfl: 0.428807 loss: 1.934092 eta: 17:52:34 batch_cost: 0.8649 data_cost: 0.1432 ips: 64.7511 images/s [03/18 13:49:02] ppdet.engine INFO: Epoch: [167] [400/523] learning_rate: 0.114470 loss_vfl: 1.066106 loss_bbox: 0.475223 loss_dfl: 0.431287 loss: 1.967826 eta: 17:52:15 batch_cost: 0.8748 data_cost: 0.1123 ips: 64.0160 images/s [03/18 13:49:24] ppdet.engine INFO: Epoch: [167] [420/523] learning_rate: 0.114415 loss_vfl: 1.026617 loss_bbox: 0.451768 loss_dfl: 0.400900 loss: 1.850858 eta: 17:51:57 batch_cost: 0.9871 data_cost: 0.2703 ips: 56.7297 images/s [03/18 13:49:47] ppdet.engine INFO: Epoch: [167] [440/523] learning_rate: 0.114360 loss_vfl: 1.016711 loss_bbox: 0.435962 loss_dfl: 0.415152 loss: 1.873148 eta: 17:51:40 batch_cost: 1.0334 data_cost: 0.3837 ips: 54.1908 images/s [03/18 13:50:08] ppdet.engine INFO: Epoch: [167] [460/523] learning_rate: 0.114305 loss_vfl: 0.995598 loss_bbox: 0.449939 loss_dfl: 0.416683 loss: 1.855669 eta: 17:51:20 batch_cost: 0.8577 data_cost: 0.0660 ips: 65.2884 images/s [03/18 13:50:30] ppdet.engine INFO: Epoch: [167] [480/523] learning_rate: 0.114250 loss_vfl: 1.052556 loss_bbox: 0.440080 loss_dfl: 0.415754 loss: 1.904271 eta: 17:51:01 batch_cost: 0.8624 data_cost: 0.0131 ips: 64.9376 images/s [03/18 13:50:53] ppdet.engine INFO: Epoch: [167] [500/523] learning_rate: 0.114194 loss_vfl: 1.032430 loss_bbox: 0.458475 loss_dfl: 0.424048 loss: 1.925258 eta: 17:50:42 batch_cost: 0.9492 data_cost: 0.0739 ips: 58.9948 images/s [03/18 13:51:10] ppdet.engine INFO: Epoch: [167] [520/523] learning_rate: 0.114139 loss_vfl: 1.028289 loss_bbox: 0.437848 loss_dfl: 0.425471 loss: 1.897896 eta: 17:50:21 batch_cost: 0.7640 data_cost: 0.0971 ips: 73.2946 images/s [03/18 13:51:23] ppdet.engine INFO: Epoch: [168] [ 0/523] learning_rate: 0.114131 loss_vfl: 1.031122 loss_bbox: 0.455086 loss_dfl: 0.426550 loss: 1.926688 eta: 17:50:25 batch_cost: 1.1960 data_cost: 0.5608 ips: 46.8220 images/s [03/18 13:51:41] ppdet.engine INFO: Epoch: [168] [ 20/523] learning_rate: 0.114076 loss_vfl: 1.040630 loss_bbox: 0.468432 loss_dfl: 0.424881 loss: 1.945941 eta: 17:50:03 batch_cost: 0.7484 data_cost: 0.0598 ips: 74.8226 images/s [03/18 13:51:58] ppdet.engine INFO: Epoch: [168] [ 40/523] learning_rate: 0.114020 loss_vfl: 1.041817 loss_bbox: 0.468276 loss_dfl: 0.423913 loss: 1.924978 eta: 17:49:41 batch_cost: 0.6889 data_cost: 0.0082 ips: 81.2918 images/s [03/18 13:52:21] ppdet.engine INFO: Epoch: [168] [ 60/523] learning_rate: 0.113965 loss_vfl: 1.064112 loss_bbox: 0.493733 loss_dfl: 0.441881 loss: 1.987762 eta: 17:49:23 batch_cost: 1.0059 data_cost: 0.0123 ips: 55.6740 images/s [03/18 13:52:45] ppdet.engine INFO: Epoch: [168] [ 80/523] learning_rate: 0.113910 loss_vfl: 1.033340 loss_bbox: 0.467856 loss_dfl: 0.425111 loss: 1.917538 eta: 17:49:05 batch_cost: 0.9690 data_cost: 0.0595 ips: 57.7921 images/s [03/18 13:53:06] ppdet.engine INFO: Epoch: [168] [100/523] learning_rate: 0.113855 loss_vfl: 1.061384 loss_bbox: 0.459393 loss_dfl: 0.427669 loss: 1.956203 eta: 17:48:46 batch_cost: 0.8551 data_cost: 0.0037 ips: 65.4896 images/s [03/18 13:53:30] ppdet.engine INFO: Epoch: [168] [120/523] learning_rate: 0.113800 loss_vfl: 1.077327 loss_bbox: 0.487528 loss_dfl: 0.441718 loss: 2.013588 eta: 17:48:28 batch_cost: 1.0090 data_cost: 0.0095 ips: 55.5018 images/s [03/18 13:53:52] ppdet.engine INFO: Epoch: [168] [140/523] learning_rate: 0.113745 loss_vfl: 1.050126 loss_bbox: 0.444588 loss_dfl: 0.430301 loss: 1.933347 eta: 17:48:09 batch_cost: 0.9005 data_cost: 0.0674 ips: 62.1881 images/s [03/18 13:54:14] ppdet.engine INFO: Epoch: [168] [160/523] learning_rate: 0.113689 loss_vfl: 1.039475 loss_bbox: 0.457371 loss_dfl: 0.440387 loss: 1.922887 eta: 17:47:51 batch_cost: 0.9614 data_cost: 0.1280 ips: 58.2474 images/s [03/18 13:54:37] ppdet.engine INFO: Epoch: [168] [180/523] learning_rate: 0.113634 loss_vfl: 1.039016 loss_bbox: 0.473573 loss_dfl: 0.434897 loss: 1.945716 eta: 17:47:32 batch_cost: 0.8932 data_cost: 0.1267 ips: 62.6946 images/s [03/18 13:54:58] ppdet.engine INFO: Epoch: [168] [200/523] learning_rate: 0.113579 loss_vfl: 1.045516 loss_bbox: 0.458382 loss_dfl: 0.420714 loss: 1.918413 eta: 17:47:13 batch_cost: 0.9143 data_cost: 0.1781 ips: 61.2500 images/s [03/18 13:55:19] ppdet.engine INFO: Epoch: [168] [220/523] learning_rate: 0.113524 loss_vfl: 1.113577 loss_bbox: 0.498921 loss_dfl: 0.459117 loss: 2.070723 eta: 17:46:55 batch_cost: 0.9561 data_cost: 0.1343 ips: 58.5697 images/s [03/18 13:55:44] ppdet.engine INFO: Epoch: [168] [240/523] learning_rate: 0.113469 loss_vfl: 1.063165 loss_bbox: 0.464764 loss_dfl: 0.433416 loss: 1.966965 eta: 17:46:39 batch_cost: 1.1302 data_cost: 0.3025 ips: 49.5478 images/s [03/18 13:56:05] ppdet.engine INFO: Epoch: [168] [260/523] learning_rate: 0.113414 loss_vfl: 1.021925 loss_bbox: 0.445416 loss_dfl: 0.417397 loss: 1.902429 eta: 17:46:20 batch_cost: 0.9027 data_cost: 0.1423 ips: 62.0365 images/s [03/18 13:56:22] ppdet.engine INFO: Epoch: [168] [280/523] learning_rate: 0.113358 loss_vfl: 0.948741 loss_bbox: 0.422505 loss_dfl: 0.395213 loss: 1.758874 eta: 17:45:58 batch_cost: 0.7087 data_cost: 0.0017 ips: 79.0127 images/s [03/18 13:56:39] ppdet.engine INFO: Epoch: [168] [300/523] learning_rate: 0.113303 loss_vfl: 1.099685 loss_bbox: 0.477499 loss_dfl: 0.432411 loss: 1.996303 eta: 17:45:36 batch_cost: 0.6933 data_cost: 0.0366 ips: 80.7788 images/s [03/18 13:57:04] ppdet.engine INFO: Epoch: [168] [320/523] learning_rate: 0.113248 loss_vfl: 1.030828 loss_bbox: 0.445617 loss_dfl: 0.424210 loss: 1.895332 eta: 17:45:19 batch_cost: 1.0017 data_cost: 0.1762 ips: 55.9025 images/s [03/18 13:57:27] ppdet.engine INFO: Epoch: [168] [340/523] learning_rate: 0.113193 loss_vfl: 1.036665 loss_bbox: 0.470715 loss_dfl: 0.442317 loss: 1.925372 eta: 17:45:01 batch_cost: 1.0200 data_cost: 0.2598 ips: 54.9025 images/s [03/18 13:57:49] ppdet.engine INFO: Epoch: [168] [360/523] learning_rate: 0.113138 loss_vfl: 1.062829 loss_bbox: 0.460395 loss_dfl: 0.434640 loss: 1.952815 eta: 17:44:42 batch_cost: 0.9062 data_cost: 0.2034 ips: 61.7973 images/s [03/18 13:58:11] ppdet.engine INFO: Epoch: [168] [380/523] learning_rate: 0.113083 loss_vfl: 1.038297 loss_bbox: 0.458134 loss_dfl: 0.420504 loss: 1.901658 eta: 17:44:24 batch_cost: 0.9470 data_cost: 0.1449 ips: 59.1330 images/s [03/18 13:58:34] ppdet.engine INFO: Epoch: [168] [400/523] learning_rate: 0.113028 loss_vfl: 1.067996 loss_bbox: 0.456762 loss_dfl: 0.441852 loss: 1.962018 eta: 17:44:06 batch_cost: 0.9968 data_cost: 0.3268 ips: 56.1793 images/s [03/18 13:58:55] ppdet.engine INFO: Epoch: [168] [420/523] learning_rate: 0.112973 loss_vfl: 1.053359 loss_bbox: 0.467918 loss_dfl: 0.423601 loss: 1.953231 eta: 17:43:47 batch_cost: 0.8560 data_cost: 0.1598 ips: 65.4226 images/s [03/18 13:59:15] ppdet.engine INFO: Epoch: [168] [440/523] learning_rate: 0.112917 loss_vfl: 1.005685 loss_bbox: 0.442041 loss_dfl: 0.423764 loss: 1.873159 eta: 17:43:28 batch_cost: 0.9015 data_cost: 0.1738 ips: 62.1161 images/s [03/18 13:59:38] ppdet.engine INFO: Epoch: [168] [460/523] learning_rate: 0.112862 loss_vfl: 0.992730 loss_bbox: 0.430989 loss_dfl: 0.424293 loss: 1.875450 eta: 17:43:10 batch_cost: 0.9754 data_cost: 0.2073 ips: 57.4116 images/s [03/18 14:00:01] ppdet.engine INFO: Epoch: [168] [480/523] learning_rate: 0.112807 loss_vfl: 1.009546 loss_bbox: 0.450524 loss_dfl: 0.411055 loss: 1.851087 eta: 17:42:52 batch_cost: 0.9836 data_cost: 0.3326 ips: 56.9332 images/s [03/18 14:00:22] ppdet.engine INFO: Epoch: [168] [500/523] learning_rate: 0.112752 loss_vfl: 1.082119 loss_bbox: 0.479092 loss_dfl: 0.452515 loss: 2.006420 eta: 17:42:31 batch_cost: 0.8003 data_cost: 0.1402 ips: 69.9760 images/s [03/18 14:00:39] ppdet.engine INFO: Epoch: [168] [520/523] learning_rate: 0.112697 loss_vfl: 1.063820 loss_bbox: 0.473396 loss_dfl: 0.438708 loss: 1.989422 eta: 17:42:09 batch_cost: 0.7055 data_cost: 0.0796 ips: 79.3796 images/s [03/18 14:00:50] ppdet.engine INFO: Epoch: [169] [ 0/523] learning_rate: 0.112689 loss_vfl: 1.050697 loss_bbox: 0.463155 loss_dfl: 0.435224 loss: 1.960784 eta: 17:42:12 batch_cost: 1.0948 data_cost: 0.3804 ips: 51.1520 images/s [03/18 14:01:11] ppdet.engine INFO: Epoch: [169] [ 20/523] learning_rate: 0.112634 loss_vfl: 0.995396 loss_bbox: 0.431823 loss_dfl: 0.421068 loss: 1.857782 eta: 17:41:51 batch_cost: 0.8261 data_cost: 0.0005 ips: 67.7863 images/s [03/18 14:01:33] ppdet.engine INFO: Epoch: [169] [ 40/523] learning_rate: 0.112579 loss_vfl: 1.039152 loss_bbox: 0.458050 loss_dfl: 0.434946 loss: 1.933174 eta: 17:41:31 batch_cost: 0.8144 data_cost: 0.0042 ips: 68.7603 images/s [03/18 14:01:57] ppdet.engine INFO: Epoch: [169] [ 60/523] learning_rate: 0.112523 loss_vfl: 1.063205 loss_bbox: 0.447817 loss_dfl: 0.424649 loss: 1.932348 eta: 17:41:15 batch_cost: 1.1038 data_cost: 0.3983 ips: 50.7346 images/s [03/18 14:02:20] ppdet.engine INFO: Epoch: [169] [ 80/523] learning_rate: 0.112468 loss_vfl: 1.055279 loss_bbox: 0.473775 loss_dfl: 0.437168 loss: 1.970673 eta: 17:40:58 batch_cost: 1.0118 data_cost: 0.2792 ips: 55.3461 images/s [03/18 14:02:47] ppdet.engine INFO: Epoch: [169] [100/523] learning_rate: 0.112413 loss_vfl: 1.061018 loss_bbox: 0.467831 loss_dfl: 0.440874 loss: 1.968994 eta: 17:40:42 batch_cost: 1.0862 data_cost: 0.1866 ips: 51.5545 images/s [03/18 14:03:07] ppdet.engine INFO: Epoch: [169] [120/523] learning_rate: 0.112358 loss_vfl: 1.058413 loss_bbox: 0.456093 loss_dfl: 0.424596 loss: 1.961363 eta: 17:40:23 batch_cost: 0.9136 data_cost: 0.0055 ips: 61.2963 images/s [03/18 14:03:32] ppdet.engine INFO: Epoch: [169] [140/523] learning_rate: 0.112303 loss_vfl: 1.069727 loss_bbox: 0.477141 loss_dfl: 0.447180 loss: 2.005000 eta: 17:40:05 batch_cost: 0.9759 data_cost: 0.1290 ips: 57.3846 images/s [03/18 14:03:55] ppdet.engine INFO: Epoch: [169] [160/523] learning_rate: 0.112248 loss_vfl: 1.048243 loss_bbox: 0.428024 loss_dfl: 0.417349 loss: 1.872799 eta: 17:39:46 batch_cost: 0.9362 data_cost: 0.0037 ips: 59.8145 images/s [03/18 14:04:20] ppdet.engine INFO: Epoch: [169] [180/523] learning_rate: 0.112193 loss_vfl: 1.006114 loss_bbox: 0.442610 loss_dfl: 0.420392 loss: 1.878445 eta: 17:39:29 batch_cost: 0.9840 data_cost: 0.0109 ips: 56.9105 images/s [03/18 14:04:43] ppdet.engine INFO: Epoch: [169] [200/523] learning_rate: 0.112138 loss_vfl: 0.995017 loss_bbox: 0.450113 loss_dfl: 0.422923 loss: 1.889059 eta: 17:39:11 batch_cost: 1.0260 data_cost: 0.0106 ips: 54.5800 images/s [03/18 14:05:06] ppdet.engine INFO: Epoch: [169] [220/523] learning_rate: 0.112083 loss_vfl: 1.044402 loss_bbox: 0.456226 loss_dfl: 0.428509 loss: 1.954315 eta: 17:38:54 batch_cost: 1.0208 data_cost: 0.0044 ips: 54.8613 images/s [03/18 14:05:26] ppdet.engine INFO: Epoch: [169] [240/523] learning_rate: 0.112028 loss_vfl: 1.061258 loss_bbox: 0.477908 loss_dfl: 0.445467 loss: 1.982159 eta: 17:38:34 batch_cost: 0.8261 data_cost: 0.0056 ips: 67.7886 images/s [03/18 14:05:44] ppdet.engine INFO: Epoch: [169] [260/523] learning_rate: 0.111973 loss_vfl: 1.065140 loss_bbox: 0.481611 loss_dfl: 0.451638 loss: 2.006243 eta: 17:38:13 batch_cost: 0.7667 data_cost: 0.0046 ips: 73.0369 images/s [03/18 14:06:07] ppdet.engine INFO: Epoch: [169] [280/523] learning_rate: 0.111918 loss_vfl: 1.001454 loss_bbox: 0.441168 loss_dfl: 0.411916 loss: 1.851012 eta: 17:37:55 batch_cost: 0.9625 data_cost: 0.0063 ips: 58.1816 images/s [03/18 14:06:32] ppdet.engine INFO: Epoch: [169] [300/523] learning_rate: 0.111863 loss_vfl: 1.042901 loss_bbox: 0.453389 loss_dfl: 0.431117 loss: 1.929124 eta: 17:37:38 batch_cost: 1.0260 data_cost: 0.0191 ips: 54.5804 images/s [03/18 14:06:56] ppdet.engine INFO: Epoch: [169] [320/523] learning_rate: 0.111808 loss_vfl: 1.021686 loss_bbox: 0.456619 loss_dfl: 0.427172 loss: 1.930144 eta: 17:37:21 batch_cost: 1.0598 data_cost: 0.0097 ips: 52.8380 images/s [03/18 14:07:17] ppdet.engine INFO: Epoch: [169] [340/523] learning_rate: 0.111753 loss_vfl: 1.026233 loss_bbox: 0.443120 loss_dfl: 0.410716 loss: 1.898638 eta: 17:37:01 batch_cost: 0.8122 data_cost: 0.0075 ips: 68.9458 images/s [03/18 14:07:42] ppdet.engine INFO: Epoch: [169] [360/523] learning_rate: 0.111698 loss_vfl: 1.030734 loss_bbox: 0.444727 loss_dfl: 0.425405 loss: 1.913925 eta: 17:36:45 batch_cost: 1.1349 data_cost: 0.0063 ips: 49.3455 images/s [03/18 14:08:05] ppdet.engine INFO: Epoch: [169] [380/523] learning_rate: 0.111643 loss_vfl: 1.063516 loss_bbox: 0.449690 loss_dfl: 0.430031 loss: 1.959265 eta: 17:36:27 batch_cost: 0.9372 data_cost: 0.0066 ips: 59.7537 images/s [03/18 14:08:28] ppdet.engine INFO: Epoch: [169] [400/523] learning_rate: 0.111588 loss_vfl: 1.014629 loss_bbox: 0.447389 loss_dfl: 0.418736 loss: 1.894859 eta: 17:36:09 batch_cost: 0.9693 data_cost: 0.0072 ips: 57.7744 images/s [03/18 14:08:51] ppdet.engine INFO: Epoch: [169] [420/523] learning_rate: 0.111533 loss_vfl: 1.045906 loss_bbox: 0.460976 loss_dfl: 0.424681 loss: 1.924460 eta: 17:35:51 batch_cost: 0.9753 data_cost: 0.0023 ips: 57.4161 images/s [03/18 14:09:11] ppdet.engine INFO: Epoch: [169] [440/523] learning_rate: 0.111478 loss_vfl: 1.040597 loss_bbox: 0.437586 loss_dfl: 0.421086 loss: 1.896990 eta: 17:35:32 batch_cost: 0.8892 data_cost: 0.1307 ips: 62.9751 images/s [03/18 14:09:35] ppdet.engine INFO: Epoch: [169] [460/523] learning_rate: 0.111423 loss_vfl: 1.025882 loss_bbox: 0.451526 loss_dfl: 0.430578 loss: 1.907902 eta: 17:35:15 batch_cost: 1.0505 data_cost: 0.3061 ips: 53.3056 images/s [03/18 14:09:54] ppdet.engine INFO: Epoch: [169] [480/523] learning_rate: 0.111368 loss_vfl: 1.033107 loss_bbox: 0.478457 loss_dfl: 0.440389 loss: 1.983078 eta: 17:34:53 batch_cost: 0.7241 data_cost: 0.0043 ips: 77.3335 images/s [03/18 14:10:14] ppdet.engine INFO: Epoch: [169] [500/523] learning_rate: 0.111313 loss_vfl: 1.046994 loss_bbox: 0.486920 loss_dfl: 0.448906 loss: 1.972530 eta: 17:34:33 batch_cost: 0.8108 data_cost: 0.0035 ips: 69.0714 images/s [03/18 14:10:33] ppdet.engine INFO: Epoch: [169] [520/523] learning_rate: 0.111258 loss_vfl: 1.109332 loss_bbox: 0.480588 loss_dfl: 0.460523 loss: 2.091151 eta: 17:34:12 batch_cost: 0.7958 data_cost: 0.0043 ips: 70.3652 images/s [03/18 14:10:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 14:10:35] ppdet.engine INFO: Eval iter: 0 [03/18 14:10:58] ppdet.engine INFO: Eval iter: 100 [03/18 14:11:08] ppdet.engine INFO: Eval iter: 200 [03/18 14:11:18] ppdet.engine INFO: Eval iter: 300 [03/18 14:11:27] ppdet.engine INFO: Eval iter: 400 [03/18 14:11:38] ppdet.engine INFO: Eval iter: 500 [03/18 14:11:48] ppdet.engine INFO: Eval iter: 600 [03/18 14:12:02] 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 14:12:03] 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=82.90s). Accumulating evaluation results... DONE (t=15.39s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.236 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.359 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.251 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.077 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.245 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 ] = 0.246 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.398 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.425 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.155 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.468 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.675 [03/18 14:13:48] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.78912021906173 [03/18 14:13:48] ppdet.engine INFO: Best test bbox ap is 0.236. [03/18 14:13:48] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 14:13:48] ppdet.engine INFO: Epoch: [170] [ 0/523] learning_rate: 0.111250 loss_vfl: 1.109332 loss_bbox: 0.480588 loss_dfl: 0.460523 loss: 2.091151 eta: 17:34:08 batch_cost: 0.6547 data_cost: 0.0027 ips: 85.5347 images/s [03/18 14:14:05] ppdet.engine INFO: Epoch: [170] [ 20/523] learning_rate: 0.111195 loss_vfl: 1.067450 loss_bbox: 0.463487 loss_dfl: 0.444761 loss: 1.998228 eta: 17:33:44 batch_cost: 0.6315 data_cost: 0.0131 ips: 88.6744 images/s [03/18 14:14:26] ppdet.engine INFO: Epoch: [170] [ 40/523] learning_rate: 0.111140 loss_vfl: 1.047018 loss_bbox: 0.461389 loss_dfl: 0.431594 loss: 1.880946 eta: 17:33:25 batch_cost: 0.8501 data_cost: 0.0031 ips: 65.8730 images/s [03/18 14:14:48] ppdet.engine INFO: Epoch: [170] [ 60/523] learning_rate: 0.111085 loss_vfl: 1.045236 loss_bbox: 0.463365 loss_dfl: 0.431480 loss: 1.956736 eta: 17:33:07 batch_cost: 0.9795 data_cost: 0.0091 ips: 57.1743 images/s [03/18 14:15:13] ppdet.engine INFO: Epoch: [170] [ 80/523] learning_rate: 0.111030 loss_vfl: 1.066009 loss_bbox: 0.444922 loss_dfl: 0.433029 loss: 1.947681 eta: 17:32:49 batch_cost: 0.9899 data_cost: 0.0073 ips: 56.5720 images/s [03/18 14:15:37] ppdet.engine INFO: Epoch: [170] [100/523] learning_rate: 0.110975 loss_vfl: 1.038451 loss_bbox: 0.465089 loss_dfl: 0.425435 loss: 1.932761 eta: 17:32:32 batch_cost: 1.0428 data_cost: 0.0052 ips: 53.7034 images/s [03/18 14:16:00] ppdet.engine INFO: Epoch: [170] [120/523] learning_rate: 0.110920 loss_vfl: 1.061138 loss_bbox: 0.435363 loss_dfl: 0.430214 loss: 1.936805 eta: 17:32:15 batch_cost: 1.0562 data_cost: 0.0054 ips: 53.0185 images/s [03/18 14:16:24] ppdet.engine INFO: Epoch: [170] [140/523] learning_rate: 0.110865 loss_vfl: 1.098881 loss_bbox: 0.476096 loss_dfl: 0.450205 loss: 2.045069 eta: 17:31:59 batch_cost: 1.0450 data_cost: 0.2894 ips: 53.5865 images/s [03/18 14:16:47] ppdet.engine INFO: Epoch: [170] [160/523] learning_rate: 0.110810 loss_vfl: 1.016935 loss_bbox: 0.457950 loss_dfl: 0.421123 loss: 1.923883 eta: 17:31:42 batch_cost: 1.0339 data_cost: 0.2278 ips: 54.1652 images/s [03/18 14:17:10] ppdet.engine INFO: Epoch: [170] [180/523] learning_rate: 0.110755 loss_vfl: 1.019605 loss_bbox: 0.456022 loss_dfl: 0.422663 loss: 1.905812 eta: 17:31:23 batch_cost: 0.9481 data_cost: 0.1068 ips: 59.0656 images/s [03/18 14:17:32] ppdet.engine INFO: Epoch: [170] [200/523] learning_rate: 0.110700 loss_vfl: 1.040444 loss_bbox: 0.485161 loss_dfl: 0.436381 loss: 1.986292 eta: 17:31:04 batch_cost: 0.9174 data_cost: 0.0998 ips: 61.0434 images/s [03/18 14:17:54] ppdet.engine INFO: Epoch: [170] [220/523] learning_rate: 0.110645 loss_vfl: 1.007701 loss_bbox: 0.429364 loss_dfl: 0.407849 loss: 1.841861 eta: 17:30:46 batch_cost: 0.9338 data_cost: 0.1631 ips: 59.9690 images/s [03/18 14:18:13] ppdet.engine INFO: Epoch: [170] [240/523] learning_rate: 0.110590 loss_vfl: 1.077983 loss_bbox: 0.483535 loss_dfl: 0.445111 loss: 2.036269 eta: 17:30:26 batch_cost: 0.8693 data_cost: 0.1325 ips: 64.4211 images/s [03/18 14:18:34] ppdet.engine INFO: Epoch: [170] [260/523] learning_rate: 0.110535 loss_vfl: 0.988211 loss_bbox: 0.444494 loss_dfl: 0.412044 loss: 1.833641 eta: 17:30:07 batch_cost: 0.9006 data_cost: 0.1320 ips: 62.1788 images/s [03/18 14:18:53] ppdet.engine INFO: Epoch: [170] [280/523] learning_rate: 0.110480 loss_vfl: 1.045515 loss_bbox: 0.453020 loss_dfl: 0.427454 loss: 1.943721 eta: 17:29:47 batch_cost: 0.8232 data_cost: 0.0962 ips: 68.0262 images/s [03/18 14:19:18] ppdet.engine INFO: Epoch: [170] [300/523] learning_rate: 0.110426 loss_vfl: 1.035949 loss_bbox: 0.458210 loss_dfl: 0.428075 loss: 1.917907 eta: 17:29:30 batch_cost: 1.0026 data_cost: 0.0045 ips: 55.8529 images/s [03/18 14:19:38] ppdet.engine INFO: Epoch: [170] [320/523] learning_rate: 0.110371 loss_vfl: 1.070521 loss_bbox: 0.470637 loss_dfl: 0.445387 loss: 1.969964 eta: 17:29:10 batch_cost: 0.8351 data_cost: 0.0637 ips: 67.0593 images/s [03/18 14:20:04] ppdet.engine INFO: Epoch: [170] [340/523] learning_rate: 0.110316 loss_vfl: 1.029794 loss_bbox: 0.437658 loss_dfl: 0.417328 loss: 1.896540 eta: 17:28:54 batch_cost: 1.1104 data_cost: 0.1550 ips: 50.4338 images/s [03/18 14:20:25] ppdet.engine INFO: Epoch: [170] [360/523] learning_rate: 0.110261 loss_vfl: 1.044549 loss_bbox: 0.435621 loss_dfl: 0.421615 loss: 1.961839 eta: 17:28:34 batch_cost: 0.8589 data_cost: 0.0048 ips: 65.2025 images/s [03/18 14:20:47] ppdet.engine INFO: Epoch: [170] [380/523] learning_rate: 0.110206 loss_vfl: 1.026382 loss_bbox: 0.435764 loss_dfl: 0.416008 loss: 1.865015 eta: 17:28:16 batch_cost: 0.9466 data_cost: 0.0115 ips: 59.1580 images/s [03/18 14:21:11] ppdet.engine INFO: Epoch: [170] [400/523] learning_rate: 0.110151 loss_vfl: 0.993075 loss_bbox: 0.453066 loss_dfl: 0.412374 loss: 1.858833 eta: 17:27:58 batch_cost: 0.9712 data_cost: 0.0049 ips: 57.6583 images/s [03/18 14:21:32] ppdet.engine INFO: Epoch: [170] [420/523] learning_rate: 0.110096 loss_vfl: 1.039570 loss_bbox: 0.447264 loss_dfl: 0.428863 loss: 1.916555 eta: 17:27:38 batch_cost: 0.8670 data_cost: 0.0058 ips: 64.5897 images/s [03/18 14:21:54] ppdet.engine INFO: Epoch: [170] [440/523] learning_rate: 0.110041 loss_vfl: 1.063871 loss_bbox: 0.465135 loss_dfl: 0.425731 loss: 1.934013 eta: 17:27:20 batch_cost: 0.9652 data_cost: 0.0034 ips: 58.0196 images/s [03/18 14:22:18] ppdet.engine INFO: Epoch: [170] [460/523] learning_rate: 0.109986 loss_vfl: 1.088462 loss_bbox: 0.485878 loss_dfl: 0.458958 loss: 2.079583 eta: 17:27:02 batch_cost: 0.9793 data_cost: 0.0459 ips: 57.1859 images/s [03/18 14:22:39] ppdet.engine INFO: Epoch: [170] [480/523] learning_rate: 0.109932 loss_vfl: 1.058152 loss_bbox: 0.488531 loss_dfl: 0.446853 loss: 1.985111 eta: 17:26:44 batch_cost: 0.9643 data_cost: 0.0038 ips: 58.0724 images/s [03/18 14:22:58] ppdet.engine INFO: Epoch: [170] [500/523] learning_rate: 0.109877 loss_vfl: 1.034264 loss_bbox: 0.451796 loss_dfl: 0.428036 loss: 1.911725 eta: 17:26:22 batch_cost: 0.7007 data_cost: 0.0047 ips: 79.9157 images/s [03/18 14:23:13] ppdet.engine INFO: Epoch: [170] [520/523] learning_rate: 0.109822 loss_vfl: 1.072474 loss_bbox: 0.464284 loss_dfl: 0.441384 loss: 1.964585 eta: 17:25:59 batch_cost: 0.6556 data_cost: 0.0092 ips: 85.4239 images/s [03/18 14:23:25] ppdet.engine INFO: Epoch: [171] [ 0/523] learning_rate: 0.109814 loss_vfl: 1.054039 loss_bbox: 0.447863 loss_dfl: 0.431941 loss: 1.945453 eta: 17:26:02 batch_cost: 1.0365 data_cost: 0.3660 ips: 54.0260 images/s [03/18 14:23:45] ppdet.engine INFO: Epoch: [171] [ 20/523] learning_rate: 0.109759 loss_vfl: 1.024896 loss_bbox: 0.449724 loss_dfl: 0.417291 loss: 1.888248 eta: 17:25:43 batch_cost: 0.8849 data_cost: 0.0054 ips: 63.2821 images/s [03/18 14:24:07] ppdet.engine INFO: Epoch: [171] [ 40/523] learning_rate: 0.109704 loss_vfl: 1.059614 loss_bbox: 0.455526 loss_dfl: 0.434388 loss: 1.952235 eta: 17:25:25 batch_cost: 0.9713 data_cost: 0.0024 ips: 57.6561 images/s [03/18 14:24:26] ppdet.engine INFO: Epoch: [171] [ 60/523] learning_rate: 0.109649 loss_vfl: 1.011097 loss_bbox: 0.458935 loss_dfl: 0.423263 loss: 1.875086 eta: 17:25:05 batch_cost: 0.8427 data_cost: 0.0048 ips: 66.4559 images/s [03/18 14:24:46] ppdet.engine INFO: Epoch: [171] [ 80/523] learning_rate: 0.109594 loss_vfl: 1.025404 loss_bbox: 0.459663 loss_dfl: 0.440193 loss: 1.953795 eta: 17:24:45 batch_cost: 0.8284 data_cost: 0.0052 ips: 67.6042 images/s [03/18 14:25:06] ppdet.engine INFO: Epoch: [171] [100/523] learning_rate: 0.109539 loss_vfl: 1.079846 loss_bbox: 0.467201 loss_dfl: 0.446465 loss: 2.005132 eta: 17:24:25 batch_cost: 0.8465 data_cost: 0.0928 ips: 66.1576 images/s [03/18 14:25:29] ppdet.engine INFO: Epoch: [171] [120/523] learning_rate: 0.109485 loss_vfl: 1.010402 loss_bbox: 0.443878 loss_dfl: 0.418435 loss: 1.869055 eta: 17:24:07 batch_cost: 0.9957 data_cost: 0.0042 ips: 56.2414 images/s [03/18 14:25:48] ppdet.engine INFO: Epoch: [171] [140/523] learning_rate: 0.109430 loss_vfl: 1.028872 loss_bbox: 0.466155 loss_dfl: 0.444408 loss: 1.964643 eta: 17:23:47 batch_cost: 0.7961 data_cost: 0.0017 ips: 70.3406 images/s [03/18 14:26:09] ppdet.engine INFO: Epoch: [171] [160/523] learning_rate: 0.109375 loss_vfl: 1.044286 loss_bbox: 0.468831 loss_dfl: 0.434814 loss: 1.956061 eta: 17:23:28 batch_cost: 0.9348 data_cost: 0.1471 ips: 59.9039 images/s [03/18 14:26:31] ppdet.engine INFO: Epoch: [171] [180/523] learning_rate: 0.109320 loss_vfl: 0.987069 loss_bbox: 0.436276 loss_dfl: 0.417707 loss: 1.833382 eta: 17:23:09 batch_cost: 0.9119 data_cost: 0.0029 ips: 61.4087 images/s [03/18 14:26:51] ppdet.engine INFO: Epoch: [171] [200/523] learning_rate: 0.109265 loss_vfl: 1.062079 loss_bbox: 0.479863 loss_dfl: 0.430146 loss: 1.966886 eta: 17:22:48 batch_cost: 0.7865 data_cost: 0.0621 ips: 71.2058 images/s [03/18 14:27:12] ppdet.engine INFO: Epoch: [171] [220/523] learning_rate: 0.109211 loss_vfl: 1.108593 loss_bbox: 0.492781 loss_dfl: 0.455657 loss: 2.063122 eta: 17:22:30 batch_cost: 0.9688 data_cost: 0.1142 ips: 57.8054 images/s [03/18 14:27:32] ppdet.engine INFO: Epoch: [171] [240/523] learning_rate: 0.109156 loss_vfl: 1.030234 loss_bbox: 0.456293 loss_dfl: 0.431639 loss: 1.934646 eta: 17:22:10 batch_cost: 0.8346 data_cost: 0.0043 ips: 67.0992 images/s [03/18 14:27:52] ppdet.engine INFO: Epoch: [171] [260/523] learning_rate: 0.109101 loss_vfl: 1.092916 loss_bbox: 0.506614 loss_dfl: 0.461960 loss: 2.061341 eta: 17:21:51 batch_cost: 0.9000 data_cost: 0.1267 ips: 62.2223 images/s [03/18 14:28:09] ppdet.engine INFO: Epoch: [171] [280/523] learning_rate: 0.109046 loss_vfl: 1.003502 loss_bbox: 0.462596 loss_dfl: 0.430339 loss: 1.898578 eta: 17:21:30 batch_cost: 0.7250 data_cost: 0.0022 ips: 77.2444 images/s [03/18 14:28:29] ppdet.engine INFO: Epoch: [171] [300/523] learning_rate: 0.108991 loss_vfl: 1.034144 loss_bbox: 0.451404 loss_dfl: 0.422183 loss: 1.890224 eta: 17:21:10 batch_cost: 0.8931 data_cost: 0.1738 ips: 62.7057 images/s [03/18 14:28:47] ppdet.engine INFO: Epoch: [171] [320/523] learning_rate: 0.108937 loss_vfl: 1.092740 loss_bbox: 0.466129 loss_dfl: 0.447329 loss: 2.010363 eta: 17:20:49 batch_cost: 0.7615 data_cost: 0.0547 ips: 73.5425 images/s [03/18 14:29:09] ppdet.engine INFO: Epoch: [171] [340/523] learning_rate: 0.108882 loss_vfl: 1.072991 loss_bbox: 0.477208 loss_dfl: 0.433292 loss: 1.987681 eta: 17:20:31 batch_cost: 0.9611 data_cost: 0.2048 ips: 58.2673 images/s [03/18 14:29:31] ppdet.engine INFO: Epoch: [171] [360/523] learning_rate: 0.108827 loss_vfl: 1.079771 loss_bbox: 0.484751 loss_dfl: 0.458174 loss: 2.031099 eta: 17:20:12 batch_cost: 0.9225 data_cost: 0.0723 ips: 60.7046 images/s [03/18 14:29:50] ppdet.engine INFO: Epoch: [171] [380/523] learning_rate: 0.108772 loss_vfl: 1.041092 loss_bbox: 0.466470 loss_dfl: 0.435729 loss: 1.930049 eta: 17:19:53 batch_cost: 0.8442 data_cost: 0.0597 ips: 66.3388 images/s [03/18 14:30:10] ppdet.engine INFO: Epoch: [171] [400/523] learning_rate: 0.108718 loss_vfl: 0.985725 loss_bbox: 0.447508 loss_dfl: 0.424022 loss: 1.842693 eta: 17:19:33 batch_cost: 0.8948 data_cost: 0.0422 ips: 62.5825 images/s [03/18 14:30:31] ppdet.engine INFO: Epoch: [171] [420/523] learning_rate: 0.108663 loss_vfl: 1.035902 loss_bbox: 0.448187 loss_dfl: 0.413211 loss: 1.890444 eta: 17:19:14 batch_cost: 0.9020 data_cost: 0.0699 ips: 62.0862 images/s [03/18 14:30:51] ppdet.engine INFO: Epoch: [171] [440/523] learning_rate: 0.108608 loss_vfl: 1.080207 loss_bbox: 0.479109 loss_dfl: 0.443881 loss: 2.014796 eta: 17:18:54 batch_cost: 0.8199 data_cost: 0.0023 ips: 68.2995 images/s [03/18 14:31:13] ppdet.engine INFO: Epoch: [171] [460/523] learning_rate: 0.108553 loss_vfl: 1.110581 loss_bbox: 0.505551 loss_dfl: 0.462147 loss: 2.086582 eta: 17:18:36 batch_cost: 0.9679 data_cost: 0.1286 ips: 57.8578 images/s [03/18 14:31:35] ppdet.engine INFO: Epoch: [171] [480/523] learning_rate: 0.108499 loss_vfl: 1.027508 loss_bbox: 0.459030 loss_dfl: 0.430733 loss: 1.913765 eta: 17:18:18 batch_cost: 0.9306 data_cost: 0.1420 ips: 60.1790 images/s [03/18 14:31:54] ppdet.engine INFO: Epoch: [171] [500/523] learning_rate: 0.108444 loss_vfl: 1.036509 loss_bbox: 0.462644 loss_dfl: 0.441347 loss: 1.938395 eta: 17:17:58 batch_cost: 0.8511 data_cost: 0.0043 ips: 65.7942 images/s [03/18 14:32:11] ppdet.engine INFO: Epoch: [171] [520/523] learning_rate: 0.108389 loss_vfl: 1.020724 loss_bbox: 0.444153 loss_dfl: 0.417128 loss: 1.858760 eta: 17:17:36 batch_cost: 0.7378 data_cost: 0.0022 ips: 75.9002 images/s [03/18 14:32:24] ppdet.engine INFO: Epoch: [172] [ 0/523] learning_rate: 0.108381 loss_vfl: 1.024270 loss_bbox: 0.439327 loss_dfl: 0.417128 loss: 1.858760 eta: 17:17:40 batch_cost: 1.1390 data_cost: 0.4783 ips: 49.1643 images/s [03/18 14:32:44] ppdet.engine INFO: Epoch: [172] [ 20/523] learning_rate: 0.108326 loss_vfl: 1.035306 loss_bbox: 0.468249 loss_dfl: 0.439071 loss: 1.965392 eta: 17:17:20 batch_cost: 0.8838 data_cost: 0.0920 ips: 63.3619 images/s [03/18 14:33:01] ppdet.engine INFO: Epoch: [172] [ 40/523] learning_rate: 0.108272 loss_vfl: 1.000669 loss_bbox: 0.430517 loss_dfl: 0.412793 loss: 1.846404 eta: 17:16:58 batch_cost: 0.6898 data_cost: 0.0023 ips: 81.1818 images/s [03/18 14:33:22] ppdet.engine INFO: Epoch: [172] [ 60/523] learning_rate: 0.108217 loss_vfl: 0.961510 loss_bbox: 0.431554 loss_dfl: 0.392894 loss: 1.759206 eta: 17:16:39 batch_cost: 0.8806 data_cost: 0.0011 ips: 63.5943 images/s [03/18 14:33:43] ppdet.engine INFO: Epoch: [172] [ 80/523] learning_rate: 0.108162 loss_vfl: 1.037800 loss_bbox: 0.455205 loss_dfl: 0.421854 loss: 1.910309 eta: 17:16:19 batch_cost: 0.8645 data_cost: 0.0031 ips: 64.7801 images/s [03/18 14:34:05] ppdet.engine INFO: Epoch: [172] [100/523] learning_rate: 0.108107 loss_vfl: 1.009237 loss_bbox: 0.436928 loss_dfl: 0.411791 loss: 1.860782 eta: 17:16:01 batch_cost: 0.9270 data_cost: 0.0699 ips: 60.4077 images/s [03/18 14:34:29] ppdet.engine INFO: Epoch: [172] [120/523] learning_rate: 0.108053 loss_vfl: 1.010751 loss_bbox: 0.442995 loss_dfl: 0.420413 loss: 1.926697 eta: 17:15:45 batch_cost: 1.1157 data_cost: 0.3207 ips: 50.1924 images/s [03/18 14:34:51] ppdet.engine INFO: Epoch: [172] [140/523] learning_rate: 0.107998 loss_vfl: 1.013135 loss_bbox: 0.452380 loss_dfl: 0.421807 loss: 1.868531 eta: 17:15:26 batch_cost: 0.9152 data_cost: 0.1569 ips: 61.1915 images/s [03/18 14:35:13] ppdet.engine INFO: Epoch: [172] [160/523] learning_rate: 0.107943 loss_vfl: 1.037700 loss_bbox: 0.472100 loss_dfl: 0.428701 loss: 1.919528 eta: 17:15:08 batch_cost: 0.9512 data_cost: 0.1440 ips: 58.8721 images/s [03/18 14:35:35] ppdet.engine INFO: Epoch: [172] [180/523] learning_rate: 0.107889 loss_vfl: 1.053659 loss_bbox: 0.473727 loss_dfl: 0.439102 loss: 1.969985 eta: 17:14:48 batch_cost: 0.8314 data_cost: 0.0116 ips: 67.3600 images/s [03/18 14:35:56] ppdet.engine INFO: Epoch: [172] [200/523] learning_rate: 0.107834 loss_vfl: 1.038220 loss_bbox: 0.471956 loss_dfl: 0.428820 loss: 1.930941 eta: 17:14:28 batch_cost: 0.8944 data_cost: 0.0064 ips: 62.6105 images/s [03/18 14:36:17] ppdet.engine INFO: Epoch: [172] [220/523] learning_rate: 0.107779 loss_vfl: 1.041810 loss_bbox: 0.440279 loss_dfl: 0.413000 loss: 1.880214 eta: 17:14:10 batch_cost: 0.9219 data_cost: 0.0045 ips: 60.7453 images/s [03/18 14:36:39] ppdet.engine INFO: Epoch: [172] [240/523] learning_rate: 0.107725 loss_vfl: 1.034886 loss_bbox: 0.446477 loss_dfl: 0.426138 loss: 1.901477 eta: 17:13:51 batch_cost: 0.9337 data_cost: 0.0190 ips: 59.9736 images/s [03/18 14:37:01] ppdet.engine INFO: Epoch: [172] [260/523] learning_rate: 0.107670 loss_vfl: 1.013165 loss_bbox: 0.457461 loss_dfl: 0.421669 loss: 1.905577 eta: 17:13:33 batch_cost: 0.9752 data_cost: 0.0019 ips: 57.4228 images/s [03/18 14:37:23] ppdet.engine INFO: Epoch: [172] [280/523] learning_rate: 0.107615 loss_vfl: 1.066424 loss_bbox: 0.476194 loss_dfl: 0.436448 loss: 1.971168 eta: 17:13:15 batch_cost: 0.9468 data_cost: 0.0035 ips: 59.1474 images/s [03/18 14:37:42] ppdet.engine INFO: Epoch: [172] [300/523] learning_rate: 0.107561 loss_vfl: 1.031852 loss_bbox: 0.443692 loss_dfl: 0.425509 loss: 1.892671 eta: 17:12:55 batch_cost: 0.8261 data_cost: 0.0745 ips: 67.7911 images/s [03/18 14:37:58] ppdet.engine INFO: Epoch: [172] [320/523] learning_rate: 0.107506 loss_vfl: 1.004505 loss_bbox: 0.433361 loss_dfl: 0.408980 loss: 1.831976 eta: 17:12:33 batch_cost: 0.6962 data_cost: 0.0124 ips: 80.4374 images/s [03/18 14:38:19] ppdet.engine INFO: Epoch: [172] [340/523] learning_rate: 0.107451 loss_vfl: 1.044625 loss_bbox: 0.469731 loss_dfl: 0.433664 loss: 1.971619 eta: 17:12:14 batch_cost: 0.9321 data_cost: 0.0372 ips: 60.0807 images/s [03/18 14:38:44] ppdet.engine INFO: Epoch: [172] [360/523] learning_rate: 0.107397 loss_vfl: 1.007019 loss_bbox: 0.434882 loss_dfl: 0.410083 loss: 1.843150 eta: 17:11:57 batch_cost: 0.9961 data_cost: 0.1393 ips: 56.2205 images/s [03/18 14:39:03] ppdet.engine INFO: Epoch: [172] [380/523] learning_rate: 0.107342 loss_vfl: 1.051718 loss_bbox: 0.465209 loss_dfl: 0.433633 loss: 1.963792 eta: 17:11:37 batch_cost: 0.8591 data_cost: 0.0018 ips: 65.1865 images/s [03/18 14:39:24] ppdet.engine INFO: Epoch: [172] [400/523] learning_rate: 0.107288 loss_vfl: 1.044677 loss_bbox: 0.440297 loss_dfl: 0.427337 loss: 1.934185 eta: 17:11:17 batch_cost: 0.8589 data_cost: 0.1442 ips: 65.2021 images/s [03/18 14:39:46] ppdet.engine INFO: Epoch: [172] [420/523] learning_rate: 0.107233 loss_vfl: 1.043027 loss_bbox: 0.474852 loss_dfl: 0.439829 loss: 1.966894 eta: 17:10:59 batch_cost: 0.9419 data_cost: 0.0087 ips: 59.4539 images/s [03/18 14:40:08] ppdet.engine INFO: Epoch: [172] [440/523] learning_rate: 0.107178 loss_vfl: 1.064864 loss_bbox: 0.489144 loss_dfl: 0.453815 loss: 2.023368 eta: 17:10:41 batch_cost: 0.9668 data_cost: 0.1141 ips: 57.9225 images/s [03/18 14:40:28] ppdet.engine INFO: Epoch: [172] [460/523] learning_rate: 0.107124 loss_vfl: 1.085305 loss_bbox: 0.465223 loss_dfl: 0.442483 loss: 2.014862 eta: 17:10:21 batch_cost: 0.8758 data_cost: 0.1324 ips: 63.9424 images/s [03/18 14:40:51] ppdet.engine INFO: Epoch: [172] [480/523] learning_rate: 0.107069 loss_vfl: 1.055262 loss_bbox: 0.467113 loss_dfl: 0.433369 loss: 1.957261 eta: 17:10:04 batch_cost: 0.9978 data_cost: 0.2352 ips: 56.1218 images/s [03/18 14:41:13] ppdet.engine INFO: Epoch: [172] [500/523] learning_rate: 0.107015 loss_vfl: 1.052292 loss_bbox: 0.461890 loss_dfl: 0.430174 loss: 1.916369 eta: 17:09:45 batch_cost: 0.8849 data_cost: 0.0328 ips: 63.2864 images/s [03/18 14:41:31] ppdet.engine INFO: Epoch: [172] [520/523] learning_rate: 0.106960 loss_vfl: 1.043434 loss_bbox: 0.476833 loss_dfl: 0.441814 loss: 1.987631 eta: 17:09:24 batch_cost: 0.7892 data_cost: 0.1385 ips: 70.9585 images/s [03/18 14:41:43] ppdet.engine INFO: Epoch: [173] [ 0/523] learning_rate: 0.106952 loss_vfl: 1.028955 loss_bbox: 0.438235 loss_dfl: 0.422918 loss: 1.872460 eta: 17:09:27 batch_cost: 1.1687 data_cost: 0.5262 ips: 47.9166 images/s [03/18 14:42:03] ppdet.engine INFO: Epoch: [173] [ 20/523] learning_rate: 0.106897 loss_vfl: 1.063752 loss_bbox: 0.477543 loss_dfl: 0.447686 loss: 2.013666 eta: 17:09:07 batch_cost: 0.8424 data_cost: 0.0094 ips: 66.4768 images/s [03/18 14:42:22] ppdet.engine INFO: Epoch: [173] [ 40/523] learning_rate: 0.106843 loss_vfl: 1.023151 loss_bbox: 0.436354 loss_dfl: 0.410016 loss: 1.853996 eta: 17:08:46 batch_cost: 0.7507 data_cost: 0.0817 ips: 74.5984 images/s [03/18 14:42:39] ppdet.engine INFO: Epoch: [173] [ 60/523] learning_rate: 0.106788 loss_vfl: 1.101027 loss_bbox: 0.485358 loss_dfl: 0.444505 loss: 2.025454 eta: 17:08:25 batch_cost: 0.7700 data_cost: 0.0118 ips: 72.7301 images/s [03/18 14:42:59] ppdet.engine INFO: Epoch: [173] [ 80/523] learning_rate: 0.106734 loss_vfl: 1.024684 loss_bbox: 0.461861 loss_dfl: 0.425693 loss: 1.899990 eta: 17:08:05 batch_cost: 0.8454 data_cost: 0.0941 ips: 66.2429 images/s [03/18 14:43:22] ppdet.engine INFO: Epoch: [173] [100/523] learning_rate: 0.106679 loss_vfl: 1.057283 loss_bbox: 0.463004 loss_dfl: 0.437104 loss: 1.959670 eta: 17:07:47 batch_cost: 0.9830 data_cost: 0.2476 ips: 56.9703 images/s [03/18 14:43:42] ppdet.engine INFO: Epoch: [173] [120/523] learning_rate: 0.106624 loss_vfl: 1.042023 loss_bbox: 0.448562 loss_dfl: 0.422271 loss: 1.918816 eta: 17:07:28 batch_cost: 0.9255 data_cost: 0.1433 ips: 60.5068 images/s [03/18 14:44:05] ppdet.engine INFO: Epoch: [173] [140/523] learning_rate: 0.106570 loss_vfl: 1.071669 loss_bbox: 0.483307 loss_dfl: 0.450468 loss: 2.030382 eta: 17:07:11 batch_cost: 1.0016 data_cost: 0.2492 ips: 55.9125 images/s [03/18 14:44:26] ppdet.engine INFO: Epoch: [173] [160/523] learning_rate: 0.106515 loss_vfl: 1.010543 loss_bbox: 0.447592 loss_dfl: 0.422144 loss: 1.881641 eta: 17:06:52 batch_cost: 0.8900 data_cost: 0.1646 ips: 62.9231 images/s [03/18 14:44:45] ppdet.engine INFO: Epoch: [173] [180/523] learning_rate: 0.106461 loss_vfl: 1.047741 loss_bbox: 0.494829 loss_dfl: 0.450371 loss: 2.009530 eta: 17:06:31 batch_cost: 0.8187 data_cost: 0.0003 ips: 68.4035 images/s [03/18 14:45:05] ppdet.engine INFO: Epoch: [173] [200/523] learning_rate: 0.106406 loss_vfl: 1.028278 loss_bbox: 0.449792 loss_dfl: 0.423420 loss: 1.880970 eta: 17:06:11 batch_cost: 0.8196 data_cost: 0.0046 ips: 68.3225 images/s [03/18 14:45:27] ppdet.engine INFO: Epoch: [173] [220/523] learning_rate: 0.106352 loss_vfl: 1.021515 loss_bbox: 0.461798 loss_dfl: 0.424917 loss: 1.904204 eta: 17:05:53 batch_cost: 0.9673 data_cost: 0.0004 ips: 57.8901 images/s [03/18 14:45:48] ppdet.engine INFO: Epoch: [173] [240/523] learning_rate: 0.106297 loss_vfl: 1.062120 loss_bbox: 0.462348 loss_dfl: 0.437013 loss: 1.956694 eta: 17:05:35 batch_cost: 0.9444 data_cost: 0.0040 ips: 59.2943 images/s [03/18 14:46:09] ppdet.engine INFO: Epoch: [173] [260/523] learning_rate: 0.106243 loss_vfl: 1.025734 loss_bbox: 0.458839 loss_dfl: 0.420426 loss: 1.921004 eta: 17:05:17 batch_cost: 0.9602 data_cost: 0.1067 ips: 58.3215 images/s [03/18 14:46:30] ppdet.engine INFO: Epoch: [173] [280/523] learning_rate: 0.106188 loss_vfl: 1.040099 loss_bbox: 0.456249 loss_dfl: 0.440951 loss: 1.983744 eta: 17:04:57 batch_cost: 0.8569 data_cost: 0.0089 ips: 65.3527 images/s [03/18 14:46:51] ppdet.engine INFO: Epoch: [173] [300/523] learning_rate: 0.106134 loss_vfl: 0.999817 loss_bbox: 0.436092 loss_dfl: 0.421403 loss: 1.852277 eta: 17:04:38 batch_cost: 0.8932 data_cost: 0.0027 ips: 62.6968 images/s [03/18 14:47:09] ppdet.engine INFO: Epoch: [173] [320/523] learning_rate: 0.106079 loss_vfl: 0.993713 loss_bbox: 0.452949 loss_dfl: 0.417903 loss: 1.835668 eta: 17:04:17 batch_cost: 0.7995 data_cost: 0.0031 ips: 70.0403 images/s [03/18 14:47:27] ppdet.engine INFO: Epoch: [173] [340/523] learning_rate: 0.106025 loss_vfl: 1.023460 loss_bbox: 0.453285 loss_dfl: 0.434162 loss: 1.938144 eta: 17:03:56 batch_cost: 0.7259 data_cost: 0.0298 ips: 77.1460 images/s [03/18 14:47:46] ppdet.engine INFO: Epoch: [173] [360/523] learning_rate: 0.105970 loss_vfl: 1.040079 loss_bbox: 0.478300 loss_dfl: 0.437836 loss: 1.952507 eta: 17:03:36 batch_cost: 0.8310 data_cost: 0.1003 ips: 67.3881 images/s [03/18 14:48:08] ppdet.engine INFO: Epoch: [173] [380/523] learning_rate: 0.105916 loss_vfl: 0.997162 loss_bbox: 0.446533 loss_dfl: 0.406634 loss: 1.860403 eta: 17:03:17 batch_cost: 0.9318 data_cost: 0.2009 ips: 60.0961 images/s [03/18 14:48:29] ppdet.engine INFO: Epoch: [173] [400/523] learning_rate: 0.105861 loss_vfl: 1.054752 loss_bbox: 0.449494 loss_dfl: 0.432091 loss: 1.945400 eta: 17:02:58 batch_cost: 0.8945 data_cost: 0.0044 ips: 62.6069 images/s [03/18 14:48:49] ppdet.engine INFO: Epoch: [173] [420/523] learning_rate: 0.105807 loss_vfl: 1.095316 loss_bbox: 0.467405 loss_dfl: 0.445603 loss: 2.007016 eta: 17:02:38 batch_cost: 0.8342 data_cost: 0.0023 ips: 67.1323 images/s [03/18 14:49:12] ppdet.engine INFO: Epoch: [173] [440/523] learning_rate: 0.105752 loss_vfl: 1.029490 loss_bbox: 0.455759 loss_dfl: 0.423850 loss: 1.902751 eta: 17:02:20 batch_cost: 0.9930 data_cost: 0.2221 ips: 56.3956 images/s [03/18 14:49:32] ppdet.engine INFO: Epoch: [173] [460/523] learning_rate: 0.105698 loss_vfl: 1.059028 loss_bbox: 0.448806 loss_dfl: 0.422086 loss: 1.930007 eta: 17:02:01 batch_cost: 0.8738 data_cost: 0.0021 ips: 64.0907 images/s [03/18 14:49:54] ppdet.engine INFO: Epoch: [173] [480/523] learning_rate: 0.105643 loss_vfl: 1.029816 loss_bbox: 0.447346 loss_dfl: 0.422708 loss: 1.901845 eta: 17:01:42 batch_cost: 0.9261 data_cost: 0.0618 ips: 60.4657 images/s [03/18 14:50:13] ppdet.engine INFO: Epoch: [173] [500/523] learning_rate: 0.105589 loss_vfl: 1.031057 loss_bbox: 0.467455 loss_dfl: 0.439783 loss: 1.961543 eta: 17:01:22 batch_cost: 0.8224 data_cost: 0.0554 ips: 68.0955 images/s [03/18 14:50:31] ppdet.engine INFO: Epoch: [173] [520/523] learning_rate: 0.105534 loss_vfl: 1.022815 loss_bbox: 0.461863 loss_dfl: 0.435391 loss: 1.926351 eta: 17:01:01 batch_cost: 0.7703 data_cost: 0.0720 ips: 72.7011 images/s [03/18 14:50:43] ppdet.engine INFO: Epoch: [174] [ 0/523] learning_rate: 0.105526 loss_vfl: 1.047612 loss_bbox: 0.470262 loss_dfl: 0.438830 loss: 1.946124 eta: 17:01:04 batch_cost: 1.1924 data_cost: 0.5268 ips: 46.9651 images/s [03/18 14:51:06] ppdet.engine INFO: Epoch: [174] [ 20/523] learning_rate: 0.105472 loss_vfl: 1.063630 loss_bbox: 0.492807 loss_dfl: 0.448823 loss: 2.003367 eta: 17:00:47 batch_cost: 1.0209 data_cost: 0.0058 ips: 54.8560 images/s [03/18 14:51:28] ppdet.engine INFO: Epoch: [174] [ 40/523] learning_rate: 0.105417 loss_vfl: 1.020308 loss_bbox: 0.467195 loss_dfl: 0.434038 loss: 1.906122 eta: 17:00:28 batch_cost: 0.8966 data_cost: 0.0134 ips: 62.4593 images/s [03/18 14:51:47] ppdet.engine INFO: Epoch: [174] [ 60/523] learning_rate: 0.105363 loss_vfl: 0.970274 loss_bbox: 0.427234 loss_dfl: 0.403219 loss: 1.791261 eta: 17:00:08 batch_cost: 0.8598 data_cost: 0.0061 ips: 65.1306 images/s [03/18 14:52:06] ppdet.engine INFO: Epoch: [174] [ 80/523] learning_rate: 0.105309 loss_vfl: 1.069604 loss_bbox: 0.477951 loss_dfl: 0.438660 loss: 1.979161 eta: 16:59:48 batch_cost: 0.8161 data_cost: 0.0488 ips: 68.6172 images/s [03/18 14:52:25] ppdet.engine INFO: Epoch: [174] [100/523] learning_rate: 0.105254 loss_vfl: 1.074924 loss_bbox: 0.478635 loss_dfl: 0.448978 loss: 1.985598 eta: 16:59:27 batch_cost: 0.7542 data_cost: 0.1209 ips: 74.2514 images/s [03/18 14:52:44] ppdet.engine INFO: Epoch: [174] [120/523] learning_rate: 0.105200 loss_vfl: 1.025859 loss_bbox: 0.466380 loss_dfl: 0.424003 loss: 1.898920 eta: 16:59:06 batch_cost: 0.7846 data_cost: 0.0229 ips: 71.3723 images/s [03/18 14:53:06] ppdet.engine INFO: Epoch: [174] [140/523] learning_rate: 0.105145 loss_vfl: 1.026496 loss_bbox: 0.463442 loss_dfl: 0.424871 loss: 1.924427 eta: 16:58:48 batch_cost: 0.9495 data_cost: 0.2200 ips: 58.9797 images/s [03/18 14:53:26] ppdet.engine INFO: Epoch: [174] [160/523] learning_rate: 0.105091 loss_vfl: 1.031658 loss_bbox: 0.457971 loss_dfl: 0.439090 loss: 1.932831 eta: 16:58:29 batch_cost: 0.8834 data_cost: 0.1068 ips: 63.3913 images/s [03/18 14:53:49] ppdet.engine INFO: Epoch: [174] [180/523] learning_rate: 0.105037 loss_vfl: 1.021863 loss_bbox: 0.453040 loss_dfl: 0.428740 loss: 1.908605 eta: 16:58:11 batch_cost: 0.9618 data_cost: 0.2180 ips: 58.2252 images/s [03/18 14:54:10] ppdet.engine INFO: Epoch: [174] [200/523] learning_rate: 0.104982 loss_vfl: 1.066588 loss_bbox: 0.479112 loss_dfl: 0.442749 loss: 1.998639 eta: 16:57:50 batch_cost: 0.8172 data_cost: 0.0039 ips: 68.5256 images/s [03/18 14:54:31] ppdet.engine INFO: Epoch: [174] [220/523] learning_rate: 0.104928 loss_vfl: 1.034785 loss_bbox: 0.474795 loss_dfl: 0.446459 loss: 1.965083 eta: 16:57:31 batch_cost: 0.8686 data_cost: 0.0877 ips: 64.4747 images/s [03/18 14:54:54] ppdet.engine INFO: Epoch: [174] [240/523] learning_rate: 0.104873 loss_vfl: 1.057927 loss_bbox: 0.478240 loss_dfl: 0.446086 loss: 1.984044 eta: 16:57:14 batch_cost: 1.0216 data_cost: 0.3668 ips: 54.8179 images/s [03/18 14:55:14] ppdet.engine INFO: Epoch: [174] [260/523] learning_rate: 0.104819 loss_vfl: 1.040417 loss_bbox: 0.491412 loss_dfl: 0.451092 loss: 1.978891 eta: 16:56:54 batch_cost: 0.8845 data_cost: 0.0599 ips: 63.3122 images/s [03/18 14:55:33] ppdet.engine INFO: Epoch: [174] [280/523] learning_rate: 0.104765 loss_vfl: 1.014312 loss_bbox: 0.449707 loss_dfl: 0.420992 loss: 1.866268 eta: 16:56:34 batch_cost: 0.8310 data_cost: 0.1593 ips: 67.3856 images/s [03/18 14:55:55] ppdet.engine INFO: Epoch: [174] [300/523] learning_rate: 0.104710 loss_vfl: 1.065648 loss_bbox: 0.460122 loss_dfl: 0.422229 loss: 1.917542 eta: 16:56:16 batch_cost: 0.9097 data_cost: 0.2236 ips: 61.5568 images/s [03/18 14:56:17] ppdet.engine INFO: Epoch: [174] [320/523] learning_rate: 0.104656 loss_vfl: 1.023721 loss_bbox: 0.446279 loss_dfl: 0.424144 loss: 1.911875 eta: 16:55:58 batch_cost: 0.9772 data_cost: 0.1129 ips: 57.3067 images/s [03/18 14:56:39] ppdet.engine INFO: Epoch: [174] [340/523] learning_rate: 0.104602 loss_vfl: 1.075249 loss_bbox: 0.487057 loss_dfl: 0.446083 loss: 2.002246 eta: 16:55:39 batch_cost: 0.9582 data_cost: 0.0257 ips: 58.4446 images/s [03/18 14:56:57] ppdet.engine INFO: Epoch: [174] [360/523] learning_rate: 0.104547 loss_vfl: 1.037368 loss_bbox: 0.464856 loss_dfl: 0.418433 loss: 1.885360 eta: 16:55:19 batch_cost: 0.7792 data_cost: 0.1071 ips: 71.8690 images/s [03/18 14:57:16] ppdet.engine INFO: Epoch: [174] [380/523] learning_rate: 0.104493 loss_vfl: 1.040215 loss_bbox: 0.443460 loss_dfl: 0.422741 loss: 1.882573 eta: 16:54:59 batch_cost: 0.8181 data_cost: 0.0995 ips: 68.4498 images/s [03/18 14:57:35] ppdet.engine INFO: Epoch: [174] [400/523] learning_rate: 0.104439 loss_vfl: 1.036107 loss_bbox: 0.447379 loss_dfl: 0.421936 loss: 1.896787 eta: 16:54:39 batch_cost: 0.8428 data_cost: 0.0428 ips: 66.4421 images/s [03/18 14:57:56] ppdet.engine INFO: Epoch: [174] [420/523] learning_rate: 0.104384 loss_vfl: 1.025717 loss_bbox: 0.473299 loss_dfl: 0.426326 loss: 1.917675 eta: 16:54:19 batch_cost: 0.8470 data_cost: 0.0131 ips: 66.1169 images/s [03/18 14:58:17] ppdet.engine INFO: Epoch: [174] [440/523] learning_rate: 0.104330 loss_vfl: 1.007791 loss_bbox: 0.429146 loss_dfl: 0.416957 loss: 1.846406 eta: 16:54:00 batch_cost: 0.9235 data_cost: 0.1419 ips: 60.6364 images/s [03/18 14:58:38] ppdet.engine INFO: Epoch: [174] [460/523] learning_rate: 0.104276 loss_vfl: 1.058822 loss_bbox: 0.489992 loss_dfl: 0.455842 loss: 2.023327 eta: 16:53:41 batch_cost: 0.9020 data_cost: 0.1911 ips: 62.0872 images/s [03/18 14:59:00] ppdet.engine INFO: Epoch: [174] [480/523] learning_rate: 0.104221 loss_vfl: 1.005214 loss_bbox: 0.440935 loss_dfl: 0.406893 loss: 1.854517 eta: 16:53:23 batch_cost: 0.9523 data_cost: 0.2366 ips: 58.8067 images/s [03/18 14:59:21] ppdet.engine INFO: Epoch: [174] [500/523] learning_rate: 0.104167 loss_vfl: 1.045567 loss_bbox: 0.444616 loss_dfl: 0.427911 loss: 1.906855 eta: 16:53:03 batch_cost: 0.8504 data_cost: 0.0875 ips: 65.8542 images/s [03/18 14:59:39] ppdet.engine INFO: Epoch: [174] [520/523] learning_rate: 0.104113 loss_vfl: 1.040023 loss_bbox: 0.461200 loss_dfl: 0.423617 loss: 1.923345 eta: 16:52:42 batch_cost: 0.7521 data_cost: 0.0376 ips: 74.4599 images/s [03/18 14:59:50] ppdet.engine INFO: Epoch: [175] [ 0/523] learning_rate: 0.104105 loss_vfl: 1.040023 loss_bbox: 0.459245 loss_dfl: 0.428752 loss: 1.927714 eta: 16:52:45 batch_cost: 1.1098 data_cost: 0.4917 ips: 50.4601 images/s [03/18 15:00:13] ppdet.engine INFO: Epoch: [175] [ 20/523] learning_rate: 0.104050 loss_vfl: 1.051360 loss_bbox: 0.469101 loss_dfl: 0.441980 loss: 1.962194 eta: 16:52:26 batch_cost: 0.9379 data_cost: 0.0696 ips: 59.7077 images/s [03/18 15:00:34] ppdet.engine INFO: Epoch: [175] [ 40/523] learning_rate: 0.103996 loss_vfl: 1.024806 loss_bbox: 0.452073 loss_dfl: 0.422860 loss: 1.890491 eta: 16:52:08 batch_cost: 0.9235 data_cost: 0.0022 ips: 60.6395 images/s [03/18 15:00:58] ppdet.engine INFO: Epoch: [175] [ 60/523] learning_rate: 0.103942 loss_vfl: 0.998241 loss_bbox: 0.428822 loss_dfl: 0.411108 loss: 1.825607 eta: 16:51:49 batch_cost: 0.9468 data_cost: 0.0052 ips: 59.1447 images/s [03/18 15:01:20] ppdet.engine INFO: Epoch: [175] [ 80/523] learning_rate: 0.103887 loss_vfl: 1.034947 loss_bbox: 0.457484 loss_dfl: 0.434323 loss: 1.939407 eta: 16:51:31 batch_cost: 0.9830 data_cost: 0.0050 ips: 56.9667 images/s [03/18 15:01:39] ppdet.engine INFO: Epoch: [175] [100/523] learning_rate: 0.103833 loss_vfl: 1.008807 loss_bbox: 0.450808 loss_dfl: 0.417204 loss: 1.873682 eta: 16:51:10 batch_cost: 0.7683 data_cost: 0.0016 ips: 72.8924 images/s [03/18 15:01:57] ppdet.engine INFO: Epoch: [175] [120/523] learning_rate: 0.103779 loss_vfl: 1.013628 loss_bbox: 0.439023 loss_dfl: 0.406193 loss: 1.852277 eta: 16:50:50 batch_cost: 0.7747 data_cost: 0.0013 ips: 72.2853 images/s [03/18 15:02:16] ppdet.engine INFO: Epoch: [175] [140/523] learning_rate: 0.103725 loss_vfl: 1.033332 loss_bbox: 0.438161 loss_dfl: 0.428260 loss: 1.926380 eta: 16:50:29 batch_cost: 0.8114 data_cost: 0.1226 ips: 69.0128 images/s [03/18 15:02:38] ppdet.engine INFO: Epoch: [175] [160/523] learning_rate: 0.103670 loss_vfl: 0.980651 loss_bbox: 0.440658 loss_dfl: 0.406319 loss: 1.797140 eta: 16:50:11 batch_cost: 0.9650 data_cost: 0.1606 ips: 58.0316 images/s [03/18 15:03:03] ppdet.engine INFO: Epoch: [175] [180/523] learning_rate: 0.103616 loss_vfl: 1.001660 loss_bbox: 0.437369 loss_dfl: 0.424644 loss: 1.877335 eta: 16:49:55 batch_cost: 1.1101 data_cost: 0.0539 ips: 50.4475 images/s [03/18 15:03:23] ppdet.engine INFO: Epoch: [175] [200/523] learning_rate: 0.103562 loss_vfl: 1.021176 loss_bbox: 0.454743 loss_dfl: 0.422958 loss: 1.895184 eta: 16:49:36 batch_cost: 0.8962 data_cost: 0.0050 ips: 62.4870 images/s [03/18 15:03:45] ppdet.engine INFO: Epoch: [175] [220/523] learning_rate: 0.103508 loss_vfl: 1.039452 loss_bbox: 0.458262 loss_dfl: 0.425051 loss: 1.954854 eta: 16:49:18 batch_cost: 0.9305 data_cost: 0.0883 ips: 60.1827 images/s [03/18 15:04:09] ppdet.engine INFO: Epoch: [175] [240/523] learning_rate: 0.103453 loss_vfl: 0.978845 loss_bbox: 0.419979 loss_dfl: 0.405441 loss: 1.820367 eta: 16:49:01 batch_cost: 1.0506 data_cost: 0.0033 ips: 53.3020 images/s [03/18 15:04:30] ppdet.engine INFO: Epoch: [175] [260/523] learning_rate: 0.103399 loss_vfl: 1.047683 loss_bbox: 0.461412 loss_dfl: 0.440118 loss: 1.954228 eta: 16:48:41 batch_cost: 0.8409 data_cost: 0.0007 ips: 66.5939 images/s [03/18 15:04:52] ppdet.engine INFO: Epoch: [175] [280/523] learning_rate: 0.103345 loss_vfl: 1.051473 loss_bbox: 0.460694 loss_dfl: 0.424439 loss: 1.910838 eta: 16:48:22 batch_cost: 0.8880 data_cost: 0.0021 ips: 63.0619 images/s [03/18 15:05:13] ppdet.engine INFO: Epoch: [175] [300/523] learning_rate: 0.103291 loss_vfl: 1.037120 loss_bbox: 0.443764 loss_dfl: 0.432777 loss: 1.901423 eta: 16:48:03 batch_cost: 0.9056 data_cost: 0.0162 ips: 61.8408 images/s [03/18 15:05:36] ppdet.engine INFO: Epoch: [175] [320/523] learning_rate: 0.103237 loss_vfl: 1.043183 loss_bbox: 0.465298 loss_dfl: 0.441093 loss: 1.939953 eta: 16:47:46 batch_cost: 1.0432 data_cost: 0.3822 ips: 53.6826 images/s [03/18 15:05:58] ppdet.engine INFO: Epoch: [175] [340/523] learning_rate: 0.103182 loss_vfl: 1.009112 loss_bbox: 0.446860 loss_dfl: 0.407645 loss: 1.846774 eta: 16:47:28 batch_cost: 0.9918 data_cost: 0.2474 ips: 56.4614 images/s [03/18 15:06:17] ppdet.engine INFO: Epoch: [175] [360/523] learning_rate: 0.103128 loss_vfl: 1.010183 loss_bbox: 0.443337 loss_dfl: 0.412918 loss: 1.850026 eta: 16:47:09 batch_cost: 0.8588 data_cost: 0.2545 ips: 65.2053 images/s [03/18 15:06:33] ppdet.engine INFO: Epoch: [175] [380/523] learning_rate: 0.103074 loss_vfl: 1.035541 loss_bbox: 0.463269 loss_dfl: 0.427351 loss: 1.934997 eta: 16:46:47 batch_cost: 0.6938 data_cost: 0.0630 ips: 80.7097 images/s [03/18 15:06:55] ppdet.engine INFO: Epoch: [175] [400/523] learning_rate: 0.103020 loss_vfl: 1.045289 loss_bbox: 0.454374 loss_dfl: 0.427184 loss: 1.930920 eta: 16:46:28 batch_cost: 0.9607 data_cost: 0.3150 ips: 58.2914 images/s [03/18 15:07:16] ppdet.engine INFO: Epoch: [175] [420/523] learning_rate: 0.102966 loss_vfl: 1.071082 loss_bbox: 0.469665 loss_dfl: 0.439478 loss: 1.989136 eta: 16:46:10 batch_cost: 0.9312 data_cost: 0.3397 ips: 60.1349 images/s [03/18 15:07:37] ppdet.engine INFO: Epoch: [175] [440/523] learning_rate: 0.102912 loss_vfl: 1.021973 loss_bbox: 0.456624 loss_dfl: 0.420463 loss: 1.907410 eta: 16:45:51 batch_cost: 0.9167 data_cost: 0.2713 ips: 61.0869 images/s [03/18 15:08:00] ppdet.engine INFO: Epoch: [175] [460/523] learning_rate: 0.102857 loss_vfl: 1.101372 loss_bbox: 0.453607 loss_dfl: 0.434400 loss: 2.004841 eta: 16:45:33 batch_cost: 0.9748 data_cost: 0.2731 ips: 57.4484 images/s [03/18 15:08:21] ppdet.engine INFO: Epoch: [175] [480/523] learning_rate: 0.102803 loss_vfl: 1.029789 loss_bbox: 0.453300 loss_dfl: 0.421675 loss: 1.914716 eta: 16:45:14 batch_cost: 0.9188 data_cost: 0.1217 ips: 60.9517 images/s [03/18 15:08:43] ppdet.engine INFO: Epoch: [175] [500/523] learning_rate: 0.102749 loss_vfl: 1.059466 loss_bbox: 0.479826 loss_dfl: 0.434817 loss: 1.927342 eta: 16:44:55 batch_cost: 0.8708 data_cost: 0.1436 ips: 64.3083 images/s [03/18 15:09:01] ppdet.engine INFO: Epoch: [175] [520/523] learning_rate: 0.102695 loss_vfl: 1.066882 loss_bbox: 0.475650 loss_dfl: 0.438750 loss: 1.993679 eta: 16:44:34 batch_cost: 0.7578 data_cost: 0.0386 ips: 73.8947 images/s [03/18 15:09:14] ppdet.engine INFO: Epoch: [176] [ 0/523] learning_rate: 0.102687 loss_vfl: 1.066882 loss_bbox: 0.475650 loss_dfl: 0.441729 loss: 1.993679 eta: 16:44:38 batch_cost: 1.2068 data_cost: 0.5666 ips: 46.4047 images/s [03/18 15:09:34] ppdet.engine INFO: Epoch: [176] [ 20/523] learning_rate: 0.102633 loss_vfl: 0.989848 loss_bbox: 0.420689 loss_dfl: 0.408332 loss: 1.832483 eta: 16:44:19 batch_cost: 0.9046 data_cost: 0.0979 ips: 61.9024 images/s [03/18 15:09:55] ppdet.engine INFO: Epoch: [176] [ 40/523] learning_rate: 0.102579 loss_vfl: 1.049043 loss_bbox: 0.459382 loss_dfl: 0.437780 loss: 1.951470 eta: 16:43:59 batch_cost: 0.8498 data_cost: 0.1353 ips: 65.8961 images/s [03/18 15:10:19] ppdet.engine INFO: Epoch: [176] [ 60/523] learning_rate: 0.102524 loss_vfl: 1.038464 loss_bbox: 0.449161 loss_dfl: 0.417629 loss: 1.899528 eta: 16:43:41 batch_cost: 0.9225 data_cost: 0.0583 ips: 60.7043 images/s [03/18 15:10:42] ppdet.engine INFO: Epoch: [176] [ 80/523] learning_rate: 0.102470 loss_vfl: 1.014391 loss_bbox: 0.434319 loss_dfl: 0.414183 loss: 1.853377 eta: 16:43:23 batch_cost: 1.0135 data_cost: 0.0068 ips: 55.2544 images/s [03/18 15:11:01] ppdet.engine INFO: Epoch: [176] [100/523] learning_rate: 0.102416 loss_vfl: 0.994746 loss_bbox: 0.445813 loss_dfl: 0.408718 loss: 1.813706 eta: 16:43:03 batch_cost: 0.8400 data_cost: 0.0024 ips: 66.6678 images/s [03/18 15:11:17] ppdet.engine INFO: Epoch: [176] [120/523] learning_rate: 0.102362 loss_vfl: 0.987535 loss_bbox: 0.436693 loss_dfl: 0.407811 loss: 1.815582 eta: 16:42:42 batch_cost: 0.7143 data_cost: 0.0080 ips: 78.3969 images/s [03/18 15:11:38] ppdet.engine INFO: Epoch: [176] [140/523] learning_rate: 0.102308 loss_vfl: 1.062297 loss_bbox: 0.457636 loss_dfl: 0.429126 loss: 1.941592 eta: 16:42:22 batch_cost: 0.8716 data_cost: 0.0710 ips: 64.2526 images/s [03/18 15:12:00] ppdet.engine INFO: Epoch: [176] [160/523] learning_rate: 0.102254 loss_vfl: 1.037718 loss_bbox: 0.460731 loss_dfl: 0.436123 loss: 1.944369 eta: 16:42:04 batch_cost: 0.9752 data_cost: 0.0326 ips: 57.4230 images/s [03/18 15:12:23] ppdet.engine INFO: Epoch: [176] [180/523] learning_rate: 0.102200 loss_vfl: 1.084714 loss_bbox: 0.496496 loss_dfl: 0.447400 loss: 2.053992 eta: 16:41:46 batch_cost: 0.9377 data_cost: 0.0034 ips: 59.7178 images/s [03/18 15:12:44] ppdet.engine INFO: Epoch: [176] [200/523] learning_rate: 0.102146 loss_vfl: 1.134433 loss_bbox: 0.496591 loss_dfl: 0.460891 loss: 2.133482 eta: 16:41:27 batch_cost: 0.9284 data_cost: 0.0475 ips: 60.3220 images/s [03/18 15:13:06] ppdet.engine INFO: Epoch: [176] [220/523] learning_rate: 0.102092 loss_vfl: 1.053576 loss_bbox: 0.457642 loss_dfl: 0.414371 loss: 1.879307 eta: 16:41:09 batch_cost: 0.9863 data_cost: 0.0080 ips: 56.7802 images/s [03/18 15:13:28] ppdet.engine INFO: Epoch: [176] [240/523] learning_rate: 0.102038 loss_vfl: 0.953822 loss_bbox: 0.431129 loss_dfl: 0.405093 loss: 1.791814 eta: 16:40:52 batch_cost: 0.9805 data_cost: 0.0054 ips: 57.1166 images/s [03/18 15:13:49] ppdet.engine INFO: Epoch: [176] [260/523] learning_rate: 0.101983 loss_vfl: 1.041947 loss_bbox: 0.458780 loss_dfl: 0.428953 loss: 1.945766 eta: 16:40:31 batch_cost: 0.8017 data_cost: 0.0109 ips: 69.8482 images/s [03/18 15:14:09] ppdet.engine INFO: Epoch: [176] [280/523] learning_rate: 0.101929 loss_vfl: 1.030743 loss_bbox: 0.445713 loss_dfl: 0.423014 loss: 1.873698 eta: 16:40:12 batch_cost: 0.8932 data_cost: 0.0052 ips: 62.6946 images/s [03/18 15:14:31] ppdet.engine INFO: Epoch: [176] [300/523] learning_rate: 0.101875 loss_vfl: 1.069743 loss_bbox: 0.477487 loss_dfl: 0.438781 loss: 1.963748 eta: 16:39:53 batch_cost: 0.8728 data_cost: 0.0563 ips: 64.1592 images/s [03/18 15:14:54] ppdet.engine INFO: Epoch: [176] [320/523] learning_rate: 0.101821 loss_vfl: 1.031664 loss_bbox: 0.446688 loss_dfl: 0.415232 loss: 1.882020 eta: 16:39:35 batch_cost: 0.9852 data_cost: 0.1532 ips: 56.8397 images/s [03/18 15:15:15] ppdet.engine INFO: Epoch: [176] [340/523] learning_rate: 0.101767 loss_vfl: 1.052924 loss_bbox: 0.482200 loss_dfl: 0.451168 loss: 1.981221 eta: 16:39:16 batch_cost: 0.9076 data_cost: 0.1700 ips: 61.7042 images/s [03/18 15:15:37] ppdet.engine INFO: Epoch: [176] [360/523] learning_rate: 0.101713 loss_vfl: 1.057346 loss_bbox: 0.475202 loss_dfl: 0.442335 loss: 1.967224 eta: 16:38:57 batch_cost: 0.9261 data_cost: 0.2063 ips: 60.4662 images/s [03/18 15:15:55] ppdet.engine INFO: Epoch: [176] [380/523] learning_rate: 0.101659 loss_vfl: 1.076195 loss_bbox: 0.485675 loss_dfl: 0.452299 loss: 2.041062 eta: 16:38:36 batch_cost: 0.7384 data_cost: 0.0007 ips: 75.8393 images/s [03/18 15:16:11] ppdet.engine INFO: Epoch: [176] [400/523] learning_rate: 0.101605 loss_vfl: 1.050891 loss_bbox: 0.450360 loss_dfl: 0.429543 loss: 1.944360 eta: 16:38:14 batch_cost: 0.6969 data_cost: 0.0055 ips: 80.3555 images/s [03/18 15:16:33] ppdet.engine INFO: Epoch: [176] [420/523] learning_rate: 0.101551 loss_vfl: 1.074357 loss_bbox: 0.477968 loss_dfl: 0.439285 loss: 1.969520 eta: 16:37:56 batch_cost: 0.9164 data_cost: 0.1987 ips: 61.1062 images/s [03/18 15:16:53] ppdet.engine INFO: Epoch: [176] [440/523] learning_rate: 0.101497 loss_vfl: 1.065843 loss_bbox: 0.448366 loss_dfl: 0.423261 loss: 1.945196 eta: 16:37:36 batch_cost: 0.8592 data_cost: 0.1386 ips: 65.1784 images/s [03/18 15:17:17] ppdet.engine INFO: Epoch: [176] [460/523] learning_rate: 0.101443 loss_vfl: 1.054425 loss_bbox: 0.474994 loss_dfl: 0.449685 loss: 1.962613 eta: 16:37:19 batch_cost: 1.0322 data_cost: 0.1087 ips: 54.2504 images/s [03/18 15:17:38] ppdet.engine INFO: Epoch: [176] [480/523] learning_rate: 0.101389 loss_vfl: 1.036587 loss_bbox: 0.445233 loss_dfl: 0.428419 loss: 1.901252 eta: 16:36:59 batch_cost: 0.8693 data_cost: 0.2387 ips: 64.4162 images/s [03/18 15:18:00] ppdet.engine INFO: Epoch: [176] [500/523] learning_rate: 0.101335 loss_vfl: 1.058151 loss_bbox: 0.449007 loss_dfl: 0.426449 loss: 1.934393 eta: 16:36:41 batch_cost: 0.9366 data_cost: 0.2808 ips: 59.7931 images/s [03/18 15:18:18] ppdet.engine INFO: Epoch: [176] [520/523] learning_rate: 0.101281 loss_vfl: 1.006511 loss_bbox: 0.447917 loss_dfl: 0.417576 loss: 1.871042 eta: 16:36:20 batch_cost: 0.7601 data_cost: 0.1561 ips: 73.6787 images/s [03/18 15:18:31] ppdet.engine INFO: Epoch: [177] [ 0/523] learning_rate: 0.101273 loss_vfl: 0.999733 loss_bbox: 0.447917 loss_dfl: 0.417576 loss: 1.839434 eta: 16:36:24 batch_cost: 1.2082 data_cost: 0.4302 ips: 46.3509 images/s [03/18 15:18:51] ppdet.engine INFO: Epoch: [177] [ 20/523] learning_rate: 0.101219 loss_vfl: 1.023819 loss_bbox: 0.441541 loss_dfl: 0.436209 loss: 1.936104 eta: 16:36:05 batch_cost: 0.9062 data_cost: 0.0024 ips: 61.7969 images/s [03/18 15:19:13] ppdet.engine INFO: Epoch: [177] [ 40/523] learning_rate: 0.101165 loss_vfl: 1.004246 loss_bbox: 0.444302 loss_dfl: 0.423223 loss: 1.893761 eta: 16:35:47 batch_cost: 1.0020 data_cost: 0.0084 ips: 55.8892 images/s [03/18 15:19:34] ppdet.engine INFO: Epoch: [177] [ 60/523] learning_rate: 0.101111 loss_vfl: 1.047171 loss_bbox: 0.459500 loss_dfl: 0.429881 loss: 1.928199 eta: 16:35:29 batch_cost: 0.9650 data_cost: 0.0048 ips: 58.0282 images/s [03/18 15:19:55] ppdet.engine INFO: Epoch: [177] [ 80/523] learning_rate: 0.101057 loss_vfl: 1.071262 loss_bbox: 0.444788 loss_dfl: 0.441093 loss: 1.972943 eta: 16:35:10 batch_cost: 0.8815 data_cost: 0.0088 ips: 63.5301 images/s [03/18 15:20:16] ppdet.engine INFO: Epoch: [177] [100/523] learning_rate: 0.101003 loss_vfl: 1.030604 loss_bbox: 0.444963 loss_dfl: 0.423301 loss: 1.869892 eta: 16:34:51 batch_cost: 0.8948 data_cost: 0.0035 ips: 62.5872 images/s [03/18 15:20:34] ppdet.engine INFO: Epoch: [177] [120/523] learning_rate: 0.100949 loss_vfl: 1.016722 loss_bbox: 0.458414 loss_dfl: 0.423419 loss: 1.906495 eta: 16:34:30 batch_cost: 0.7683 data_cost: 0.0091 ips: 72.8906 images/s [03/18 15:20:51] ppdet.engine INFO: Epoch: [177] [140/523] learning_rate: 0.100895 loss_vfl: 1.014872 loss_bbox: 0.447744 loss_dfl: 0.416268 loss: 1.883876 eta: 16:34:07 batch_cost: 0.6529 data_cost: 0.0128 ips: 85.7664 images/s [03/18 15:21:10] ppdet.engine INFO: Epoch: [177] [160/523] learning_rate: 0.100841 loss_vfl: 0.956074 loss_bbox: 0.413653 loss_dfl: 0.388727 loss: 1.755422 eta: 16:33:47 batch_cost: 0.7822 data_cost: 0.0030 ips: 71.5936 images/s [03/18 15:21:31] ppdet.engine INFO: Epoch: [177] [180/523] learning_rate: 0.100788 loss_vfl: 1.032693 loss_bbox: 0.460481 loss_dfl: 0.429025 loss: 1.931269 eta: 16:33:28 batch_cost: 0.9319 data_cost: 0.0003 ips: 60.0901 images/s [03/18 15:21:53] ppdet.engine INFO: Epoch: [177] [200/523] learning_rate: 0.100734 loss_vfl: 1.046665 loss_bbox: 0.478834 loss_dfl: 0.429468 loss: 1.940788 eta: 16:33:10 batch_cost: 0.9762 data_cost: 0.0057 ips: 57.3657 images/s [03/18 15:22:12] ppdet.engine INFO: Epoch: [177] [220/523] learning_rate: 0.100680 loss_vfl: 1.036952 loss_bbox: 0.464766 loss_dfl: 0.427857 loss: 1.937644 eta: 16:32:50 batch_cost: 0.8059 data_cost: 0.0016 ips: 69.4888 images/s [03/18 15:22:34] ppdet.engine INFO: Epoch: [177] [240/523] learning_rate: 0.100626 loss_vfl: 1.093688 loss_bbox: 0.471804 loss_dfl: 0.448330 loss: 2.030233 eta: 16:32:32 batch_cost: 0.9643 data_cost: 0.0099 ips: 58.0718 images/s [03/18 15:22:54] ppdet.engine INFO: Epoch: [177] [260/523] learning_rate: 0.100572 loss_vfl: 1.013054 loss_bbox: 0.445934 loss_dfl: 0.426751 loss: 1.896855 eta: 16:32:13 batch_cost: 0.9052 data_cost: 0.0015 ips: 61.8649 images/s [03/18 15:23:16] ppdet.engine INFO: Epoch: [177] [280/523] learning_rate: 0.100518 loss_vfl: 1.008909 loss_bbox: 0.455650 loss_dfl: 0.416470 loss: 1.887772 eta: 16:31:55 batch_cost: 0.9862 data_cost: 0.0021 ips: 56.7858 images/s [03/18 15:23:36] ppdet.engine INFO: Epoch: [177] [300/523] learning_rate: 0.100464 loss_vfl: 1.022155 loss_bbox: 0.437322 loss_dfl: 0.416227 loss: 1.885945 eta: 16:31:35 batch_cost: 0.8173 data_cost: 0.0046 ips: 68.5185 images/s [03/18 15:23:58] ppdet.engine INFO: Epoch: [177] [320/523] learning_rate: 0.100410 loss_vfl: 1.049182 loss_bbox: 0.454047 loss_dfl: 0.429569 loss: 1.922701 eta: 16:31:17 batch_cost: 0.9732 data_cost: 0.0141 ips: 57.5405 images/s [03/18 15:24:17] ppdet.engine INFO: Epoch: [177] [340/523] learning_rate: 0.100356 loss_vfl: 1.021469 loss_bbox: 0.444458 loss_dfl: 0.418475 loss: 1.904339 eta: 16:30:58 batch_cost: 0.8798 data_cost: 0.0067 ips: 63.6540 images/s [03/18 15:24:39] ppdet.engine INFO: Epoch: [177] [360/523] learning_rate: 0.100302 loss_vfl: 0.961508 loss_bbox: 0.440351 loss_dfl: 0.408499 loss: 1.839978 eta: 16:30:39 batch_cost: 0.9432 data_cost: 0.0021 ips: 59.3727 images/s [03/18 15:24:59] ppdet.engine INFO: Epoch: [177] [380/523] learning_rate: 0.100249 loss_vfl: 1.005938 loss_bbox: 0.432828 loss_dfl: 0.410016 loss: 1.839713 eta: 16:30:20 batch_cost: 0.8442 data_cost: 0.0049 ips: 66.3349 images/s [03/18 15:25:18] ppdet.engine INFO: Epoch: [177] [400/523] learning_rate: 0.100195 loss_vfl: 1.027551 loss_bbox: 0.462961 loss_dfl: 0.443365 loss: 1.948144 eta: 16:29:59 batch_cost: 0.7502 data_cost: 0.0064 ips: 74.6418 images/s [03/18 15:25:39] ppdet.engine INFO: Epoch: [177] [420/523] learning_rate: 0.100141 loss_vfl: 1.033060 loss_bbox: 0.449311 loss_dfl: 0.435569 loss: 1.938689 eta: 16:29:40 batch_cost: 0.8919 data_cost: 0.0062 ips: 62.7841 images/s [03/18 15:25:57] ppdet.engine INFO: Epoch: [177] [440/523] learning_rate: 0.100087 loss_vfl: 1.017301 loss_bbox: 0.464672 loss_dfl: 0.433802 loss: 1.925448 eta: 16:29:18 batch_cost: 0.7447 data_cost: 0.0053 ips: 75.2028 images/s [03/18 15:26:16] ppdet.engine INFO: Epoch: [177] [460/523] learning_rate: 0.100033 loss_vfl: 1.062592 loss_bbox: 0.464766 loss_dfl: 0.440536 loss: 1.985060 eta: 16:28:59 batch_cost: 0.8516 data_cost: 0.0050 ips: 65.7591 images/s [03/18 15:26:36] ppdet.engine INFO: Epoch: [177] [480/523] learning_rate: 0.099979 loss_vfl: 1.025367 loss_bbox: 0.443395 loss_dfl: 0.424389 loss: 1.899727 eta: 16:28:39 batch_cost: 0.8772 data_cost: 0.0022 ips: 63.8359 images/s [03/18 15:26:56] ppdet.engine INFO: Epoch: [177] [500/523] learning_rate: 0.099926 loss_vfl: 1.035099 loss_bbox: 0.439515 loss_dfl: 0.419427 loss: 1.890079 eta: 16:28:19 batch_cost: 0.8097 data_cost: 0.0013 ips: 69.1628 images/s [03/18 15:27:13] ppdet.engine INFO: Epoch: [177] [520/523] learning_rate: 0.099872 loss_vfl: 1.074077 loss_bbox: 0.479350 loss_dfl: 0.448313 loss: 2.003490 eta: 16:27:58 batch_cost: 0.7269 data_cost: 0.0019 ips: 77.0387 images/s [03/18 15:27:26] ppdet.engine INFO: Epoch: [178] [ 0/523] learning_rate: 0.099864 loss_vfl: 1.076556 loss_bbox: 0.486885 loss_dfl: 0.453851 loss: 2.029937 eta: 16:28:01 batch_cost: 1.1379 data_cost: 0.3249 ips: 49.2128 images/s [03/18 15:27:48] ppdet.engine INFO: Epoch: [178] [ 20/523] learning_rate: 0.099810 loss_vfl: 1.017116 loss_bbox: 0.442869 loss_dfl: 0.419245 loss: 1.878954 eta: 16:27:42 batch_cost: 0.9455 data_cost: 0.0274 ips: 59.2267 images/s [03/18 15:28:08] ppdet.engine INFO: Epoch: [178] [ 40/523] learning_rate: 0.099756 loss_vfl: 1.029602 loss_bbox: 0.463811 loss_dfl: 0.431746 loss: 1.903479 eta: 16:27:22 batch_cost: 0.8402 data_cost: 0.0062 ips: 66.6474 images/s [03/18 15:28:29] ppdet.engine INFO: Epoch: [178] [ 60/523] learning_rate: 0.099702 loss_vfl: 1.064355 loss_bbox: 0.459125 loss_dfl: 0.435253 loss: 1.985861 eta: 16:27:04 batch_cost: 0.9128 data_cost: 0.0029 ips: 61.3467 images/s [03/18 15:28:51] ppdet.engine INFO: Epoch: [178] [ 80/523] learning_rate: 0.099648 loss_vfl: 1.015517 loss_bbox: 0.439818 loss_dfl: 0.413975 loss: 1.864898 eta: 16:26:45 batch_cost: 0.9360 data_cost: 0.0082 ips: 59.8305 images/s [03/18 15:29:10] ppdet.engine INFO: Epoch: [178] [100/523] learning_rate: 0.099595 loss_vfl: 1.054340 loss_bbox: 0.467561 loss_dfl: 0.430644 loss: 1.972190 eta: 16:26:25 batch_cost: 0.7973 data_cost: 0.0413 ips: 70.2407 images/s [03/18 15:29:31] ppdet.engine INFO: Epoch: [178] [120/523] learning_rate: 0.099541 loss_vfl: 1.067151 loss_bbox: 0.467403 loss_dfl: 0.434826 loss: 1.966404 eta: 16:26:07 batch_cost: 0.9647 data_cost: 0.2595 ips: 58.0477 images/s [03/18 15:29:51] ppdet.engine INFO: Epoch: [178] [140/523] learning_rate: 0.099487 loss_vfl: 1.011589 loss_bbox: 0.464963 loss_dfl: 0.435809 loss: 1.947708 eta: 16:25:48 batch_cost: 0.8976 data_cost: 0.0053 ips: 62.3893 images/s [03/18 15:30:12] ppdet.engine INFO: Epoch: [178] [160/523] learning_rate: 0.099433 loss_vfl: 1.055748 loss_bbox: 0.453784 loss_dfl: 0.435418 loss: 1.953230 eta: 16:25:29 batch_cost: 0.9127 data_cost: 0.0935 ips: 61.3597 images/s [03/18 15:30:31] ppdet.engine INFO: Epoch: [178] [180/523] learning_rate: 0.099380 loss_vfl: 1.030501 loss_bbox: 0.471181 loss_dfl: 0.440990 loss: 1.944549 eta: 16:25:09 batch_cost: 0.8163 data_cost: 0.0015 ips: 68.5984 images/s [03/18 15:30:50] ppdet.engine INFO: Epoch: [178] [200/523] learning_rate: 0.099326 loss_vfl: 1.080695 loss_bbox: 0.468226 loss_dfl: 0.440478 loss: 1.941117 eta: 16:24:48 batch_cost: 0.7778 data_cost: 0.1800 ips: 71.9973 images/s [03/18 15:31:09] ppdet.engine INFO: Epoch: [178] [220/523] learning_rate: 0.099272 loss_vfl: 1.023959 loss_bbox: 0.464310 loss_dfl: 0.434287 loss: 1.930620 eta: 16:24:28 batch_cost: 0.8042 data_cost: 0.0514 ips: 69.6322 images/s [03/18 15:31:30] ppdet.engine INFO: Epoch: [178] [240/523] learning_rate: 0.099218 loss_vfl: 1.082141 loss_bbox: 0.508654 loss_dfl: 0.459266 loss: 2.058879 eta: 16:24:09 batch_cost: 0.9119 data_cost: 0.0013 ips: 61.4074 images/s [03/18 15:31:49] ppdet.engine INFO: Epoch: [178] [260/523] learning_rate: 0.099165 loss_vfl: 1.140701 loss_bbox: 0.501925 loss_dfl: 0.472519 loss: 2.095908 eta: 16:23:48 batch_cost: 0.7793 data_cost: 0.0040 ips: 71.8586 images/s [03/18 15:32:09] ppdet.engine INFO: Epoch: [178] [280/523] learning_rate: 0.099111 loss_vfl: 1.075223 loss_bbox: 0.467883 loss_dfl: 0.436486 loss: 1.942235 eta: 16:23:29 batch_cost: 0.8791 data_cost: 0.0040 ips: 63.7008 images/s [03/18 15:32:29] ppdet.engine INFO: Epoch: [178] [300/523] learning_rate: 0.099057 loss_vfl: 1.047643 loss_bbox: 0.429055 loss_dfl: 0.429010 loss: 1.961857 eta: 16:23:10 batch_cost: 0.8794 data_cost: 0.0016 ips: 63.6828 images/s [03/18 15:32:51] ppdet.engine INFO: Epoch: [178] [320/523] learning_rate: 0.099004 loss_vfl: 1.022729 loss_bbox: 0.445132 loss_dfl: 0.420495 loss: 1.893278 eta: 16:22:52 batch_cost: 0.9789 data_cost: 0.0390 ips: 57.2048 images/s [03/18 15:33:13] ppdet.engine INFO: Epoch: [178] [340/523] learning_rate: 0.098950 loss_vfl: 1.102455 loss_bbox: 0.457888 loss_dfl: 0.432699 loss: 1.988563 eta: 16:22:34 batch_cost: 0.9879 data_cost: 0.0037 ips: 56.6879 images/s [03/18 15:33:33] ppdet.engine INFO: Epoch: [178] [360/523] learning_rate: 0.098896 loss_vfl: 1.004172 loss_bbox: 0.423057 loss_dfl: 0.400523 loss: 1.805795 eta: 16:22:15 batch_cost: 0.8455 data_cost: 0.0050 ips: 66.2360 images/s [03/18 15:33:54] ppdet.engine INFO: Epoch: [178] [380/523] learning_rate: 0.098842 loss_vfl: 1.061366 loss_bbox: 0.467743 loss_dfl: 0.433301 loss: 1.943909 eta: 16:21:55 batch_cost: 0.8943 data_cost: 0.0038 ips: 62.6188 images/s [03/18 15:34:13] ppdet.engine INFO: Epoch: [178] [400/523] learning_rate: 0.098789 loss_vfl: 1.008365 loss_bbox: 0.448541 loss_dfl: 0.430245 loss: 1.880778 eta: 16:21:36 batch_cost: 0.8545 data_cost: 0.0026 ips: 65.5347 images/s [03/18 15:34:34] ppdet.engine INFO: Epoch: [178] [420/523] learning_rate: 0.098735 loss_vfl: 0.999784 loss_bbox: 0.452709 loss_dfl: 0.422366 loss: 1.867573 eta: 16:21:17 batch_cost: 0.9167 data_cost: 0.0032 ips: 61.0896 images/s [03/18 15:34:54] ppdet.engine INFO: Epoch: [178] [440/523] learning_rate: 0.098681 loss_vfl: 1.034738 loss_bbox: 0.457135 loss_dfl: 0.419364 loss: 1.911529 eta: 16:20:58 batch_cost: 0.8786 data_cost: 0.0315 ips: 63.7351 images/s [03/18 15:35:15] ppdet.engine INFO: Epoch: [178] [460/523] learning_rate: 0.098628 loss_vfl: 1.114655 loss_bbox: 0.480205 loss_dfl: 0.449692 loss: 2.057845 eta: 16:20:39 batch_cost: 0.9400 data_cost: 0.0887 ips: 59.5722 images/s [03/18 15:35:35] ppdet.engine INFO: Epoch: [178] [480/523] learning_rate: 0.098574 loss_vfl: 1.039176 loss_bbox: 0.464735 loss_dfl: 0.423033 loss: 1.897455 eta: 16:20:19 batch_cost: 0.8056 data_cost: 0.1027 ips: 69.5128 images/s [03/18 15:35:53] ppdet.engine INFO: Epoch: [178] [500/523] learning_rate: 0.098520 loss_vfl: 1.026273 loss_bbox: 0.467816 loss_dfl: 0.440269 loss: 1.949164 eta: 16:19:58 batch_cost: 0.7511 data_cost: 0.1149 ips: 74.5592 images/s [03/18 15:36:07] ppdet.engine INFO: Epoch: [178] [520/523] learning_rate: 0.098467 loss_vfl: 1.054626 loss_bbox: 0.460520 loss_dfl: 0.440200 loss: 1.976682 eta: 16:19:35 batch_cost: 0.5656 data_cost: 0.0006 ips: 99.0078 images/s [03/18 15:36:20] ppdet.engine INFO: Epoch: [179] [ 0/523] learning_rate: 0.098459 loss_vfl: 1.054626 loss_bbox: 0.462860 loss_dfl: 0.440200 loss: 1.976682 eta: 16:19:38 batch_cost: 1.0650 data_cost: 0.3331 ips: 52.5805 images/s [03/18 15:36:42] ppdet.engine INFO: Epoch: [179] [ 20/523] learning_rate: 0.098405 loss_vfl: 0.988708 loss_bbox: 0.424748 loss_dfl: 0.398812 loss: 1.811148 eta: 16:19:19 batch_cost: 0.8990 data_cost: 0.0601 ips: 62.2924 images/s [03/18 15:37:03] ppdet.engine INFO: Epoch: [179] [ 40/523] learning_rate: 0.098351 loss_vfl: 1.048913 loss_bbox: 0.439020 loss_dfl: 0.426439 loss: 1.920404 eta: 16:19:01 batch_cost: 0.9379 data_cost: 0.0081 ips: 59.7098 images/s [03/18 15:37:24] ppdet.engine INFO: Epoch: [179] [ 60/523] learning_rate: 0.098298 loss_vfl: 1.000815 loss_bbox: 0.431963 loss_dfl: 0.414235 loss: 1.847072 eta: 16:18:42 batch_cost: 0.9422 data_cost: 0.0083 ips: 59.4346 images/s [03/18 15:37:45] ppdet.engine INFO: Epoch: [179] [ 80/523] learning_rate: 0.098244 loss_vfl: 1.078628 loss_bbox: 0.488009 loss_dfl: 0.450223 loss: 1.978838 eta: 16:18:23 batch_cost: 0.8853 data_cost: 0.0107 ips: 63.2545 images/s [03/18 15:38:06] ppdet.engine INFO: Epoch: [179] [100/523] learning_rate: 0.098191 loss_vfl: 1.058011 loss_bbox: 0.479562 loss_dfl: 0.446157 loss: 2.004665 eta: 16:18:04 batch_cost: 0.9084 data_cost: 0.0064 ips: 61.6444 images/s [03/18 15:38:27] ppdet.engine INFO: Epoch: [179] [120/523] learning_rate: 0.098137 loss_vfl: 1.032876 loss_bbox: 0.454189 loss_dfl: 0.427565 loss: 1.889426 eta: 16:17:46 batch_cost: 0.9404 data_cost: 0.0436 ips: 59.5514 images/s [03/18 15:38:47] ppdet.engine INFO: Epoch: [179] [140/523] learning_rate: 0.098083 loss_vfl: 1.043301 loss_bbox: 0.467902 loss_dfl: 0.417496 loss: 1.914806 eta: 16:17:27 batch_cost: 0.8735 data_cost: 0.0251 ips: 64.1063 images/s [03/18 15:39:09] ppdet.engine INFO: Epoch: [179] [160/523] learning_rate: 0.098030 loss_vfl: 1.030972 loss_bbox: 0.477521 loss_dfl: 0.438490 loss: 1.944811 eta: 16:17:07 batch_cost: 0.8486 data_cost: 0.1212 ips: 65.9917 images/s [03/18 15:39:31] ppdet.engine INFO: Epoch: [179] [180/523] learning_rate: 0.097976 loss_vfl: 1.061345 loss_bbox: 0.477661 loss_dfl: 0.445901 loss: 1.988564 eta: 16:16:48 batch_cost: 0.8771 data_cost: 0.0039 ips: 63.8468 images/s [03/18 15:39:48] ppdet.engine INFO: Epoch: [179] [200/523] learning_rate: 0.097923 loss_vfl: 1.057765 loss_bbox: 0.460265 loss_dfl: 0.444857 loss: 1.958312 eta: 16:16:27 batch_cost: 0.7538 data_cost: 0.0027 ips: 74.2928 images/s [03/18 15:40:10] ppdet.engine INFO: Epoch: [179] [220/523] learning_rate: 0.097869 loss_vfl: 0.990869 loss_bbox: 0.432231 loss_dfl: 0.405753 loss: 1.816998 eta: 16:16:09 batch_cost: 0.9855 data_cost: 0.1989 ips: 56.8218 images/s [03/18 15:40:30] ppdet.engine INFO: Epoch: [179] [240/523] learning_rate: 0.097815 loss_vfl: 1.097185 loss_bbox: 0.493417 loss_dfl: 0.465402 loss: 2.071998 eta: 16:15:49 batch_cost: 0.8285 data_cost: 0.1310 ips: 67.5902 images/s [03/18 15:40:48] ppdet.engine INFO: Epoch: [179] [260/523] learning_rate: 0.097762 loss_vfl: 1.027876 loss_bbox: 0.458622 loss_dfl: 0.424913 loss: 1.918356 eta: 16:15:28 batch_cost: 0.7656 data_cost: 0.0040 ips: 73.1475 images/s [03/18 15:41:07] ppdet.engine INFO: Epoch: [179] [280/523] learning_rate: 0.097708 loss_vfl: 1.028702 loss_bbox: 0.456201 loss_dfl: 0.436732 loss: 1.919978 eta: 16:15:07 batch_cost: 0.7500 data_cost: 0.0030 ips: 74.6683 images/s [03/18 15:41:27] ppdet.engine INFO: Epoch: [179] [300/523] learning_rate: 0.097655 loss_vfl: 1.032215 loss_bbox: 0.476821 loss_dfl: 0.432768 loss: 1.964752 eta: 16:14:48 batch_cost: 0.8724 data_cost: 0.0076 ips: 64.1896 images/s [03/18 15:41:48] ppdet.engine INFO: Epoch: [179] [320/523] learning_rate: 0.097601 loss_vfl: 1.022982 loss_bbox: 0.455753 loss_dfl: 0.435081 loss: 1.907653 eta: 16:14:29 batch_cost: 0.8717 data_cost: 0.0026 ips: 64.2436 images/s [03/18 15:42:08] ppdet.engine INFO: Epoch: [179] [340/523] learning_rate: 0.097548 loss_vfl: 1.053951 loss_bbox: 0.461704 loss_dfl: 0.425788 loss: 1.972382 eta: 16:14:09 batch_cost: 0.8427 data_cost: 0.0113 ips: 66.4531 images/s [03/18 15:42:29] ppdet.engine INFO: Epoch: [179] [360/523] learning_rate: 0.097494 loss_vfl: 1.073550 loss_bbox: 0.465016 loss_dfl: 0.440886 loss: 1.986142 eta: 16:13:50 batch_cost: 0.9272 data_cost: 0.0070 ips: 60.3937 images/s [03/18 15:42:50] ppdet.engine INFO: Epoch: [179] [380/523] learning_rate: 0.097441 loss_vfl: 1.073280 loss_bbox: 0.478470 loss_dfl: 0.443311 loss: 1.982272 eta: 16:13:31 batch_cost: 0.8563 data_cost: 0.0023 ips: 65.3947 images/s [03/18 15:43:09] ppdet.engine INFO: Epoch: [179] [400/523] learning_rate: 0.097387 loss_vfl: 1.079825 loss_bbox: 0.472606 loss_dfl: 0.437341 loss: 2.010036 eta: 16:13:10 batch_cost: 0.8002 data_cost: 0.0029 ips: 69.9837 images/s [03/18 15:43:31] ppdet.engine INFO: Epoch: [179] [420/523] learning_rate: 0.097334 loss_vfl: 1.006570 loss_bbox: 0.440780 loss_dfl: 0.415410 loss: 1.846434 eta: 16:12:52 batch_cost: 0.9490 data_cost: 0.0005 ips: 59.0119 images/s [03/18 15:43:52] ppdet.engine INFO: Epoch: [179] [440/523] learning_rate: 0.097280 loss_vfl: 1.022969 loss_bbox: 0.426435 loss_dfl: 0.416684 loss: 1.856755 eta: 16:12:34 batch_cost: 0.9419 data_cost: 0.0653 ips: 59.4546 images/s [03/18 15:44:13] ppdet.engine INFO: Epoch: [179] [460/523] learning_rate: 0.097227 loss_vfl: 1.034615 loss_bbox: 0.465892 loss_dfl: 0.437957 loss: 1.916362 eta: 16:12:15 batch_cost: 0.8972 data_cost: 0.0052 ips: 62.4182 images/s [03/18 15:44:33] ppdet.engine INFO: Epoch: [179] [480/523] learning_rate: 0.097173 loss_vfl: 1.062261 loss_bbox: 0.462123 loss_dfl: 0.427589 loss: 1.932606 eta: 16:11:55 batch_cost: 0.8176 data_cost: 0.0042 ips: 68.4913 images/s [03/18 15:44:55] ppdet.engine INFO: Epoch: [179] [500/523] learning_rate: 0.097120 loss_vfl: 1.025730 loss_bbox: 0.439239 loss_dfl: 0.408009 loss: 1.871061 eta: 16:11:37 batch_cost: 0.9735 data_cost: 0.0068 ips: 57.5216 images/s [03/18 15:45:11] ppdet.engine INFO: Epoch: [179] [520/523] learning_rate: 0.097066 loss_vfl: 1.042449 loss_bbox: 0.465421 loss_dfl: 0.434946 loss: 1.944165 eta: 16:11:15 batch_cost: 0.6950 data_cost: 0.0074 ips: 80.5778 images/s [03/18 15:45:13] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 15:45:13] ppdet.engine INFO: Eval iter: 0 [03/18 15:45:35] ppdet.engine INFO: Eval iter: 100 [03/18 15:45:45] ppdet.engine INFO: Eval iter: 200 [03/18 15:45:55] ppdet.engine INFO: Eval iter: 300 [03/18 15:46:05] ppdet.engine INFO: Eval iter: 400 [03/18 15:46:15] ppdet.engine INFO: Eval iter: 500 [03/18 15:46:26] ppdet.engine INFO: Eval iter: 600 [03/18 15:46:40] 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 15:46:41] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.48s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=86.02s). Accumulating evaluation results... DONE (t=16.21s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.237 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.362 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.251 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.080 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.246 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.385 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.245 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.400 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.427 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.156 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.472 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.677 [03/18 15:48:29] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.83186305084168 [03/18 15:48:29] ppdet.engine INFO: Best test bbox ap is 0.237. [03/18 15:48:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 15:48:30] ppdet.engine INFO: Epoch: [180] [ 0/523] learning_rate: 0.097058 loss_vfl: 1.045820 loss_bbox: 0.457433 loss_dfl: 0.431271 loss: 1.941212 eta: 16:11:11 batch_cost: 0.6234 data_cost: 0.0049 ips: 89.8333 images/s [03/18 15:48:47] ppdet.engine INFO: Epoch: [180] [ 20/523] learning_rate: 0.097005 loss_vfl: 0.948121 loss_bbox: 0.434473 loss_dfl: 0.399775 loss: 1.782915 eta: 16:10:50 batch_cost: 0.7133 data_cost: 0.0609 ips: 78.5137 images/s [03/18 15:49:12] ppdet.engine INFO: Epoch: [180] [ 40/523] learning_rate: 0.096951 loss_vfl: 1.004349 loss_bbox: 0.435627 loss_dfl: 0.411706 loss: 1.862461 eta: 16:10:32 batch_cost: 0.9817 data_cost: 0.0119 ips: 57.0415 images/s [03/18 15:49:35] ppdet.engine INFO: Epoch: [180] [ 60/523] learning_rate: 0.096898 loss_vfl: 0.994016 loss_bbox: 0.426939 loss_dfl: 0.423555 loss: 1.842877 eta: 16:10:15 batch_cost: 1.0563 data_cost: 0.3364 ips: 53.0175 images/s [03/18 15:49:55] ppdet.engine INFO: Epoch: [180] [ 80/523] learning_rate: 0.096844 loss_vfl: 1.075293 loss_bbox: 0.487420 loss_dfl: 0.455153 loss: 2.015396 eta: 16:09:55 batch_cost: 0.8572 data_cost: 0.0764 ips: 65.3290 images/s [03/18 15:50:15] ppdet.engine INFO: Epoch: [180] [100/523] learning_rate: 0.096791 loss_vfl: 1.061814 loss_bbox: 0.461553 loss_dfl: 0.438654 loss: 1.951857 eta: 16:09:35 batch_cost: 0.7926 data_cost: 0.0077 ips: 70.6559 images/s [03/18 15:50:40] ppdet.engine INFO: Epoch: [180] [120/523] learning_rate: 0.096738 loss_vfl: 1.057742 loss_bbox: 0.473486 loss_dfl: 0.444558 loss: 1.976144 eta: 16:09:18 batch_cost: 1.0704 data_cost: 0.4090 ips: 52.3179 images/s [03/18 15:51:02] ppdet.engine INFO: Epoch: [180] [140/523] learning_rate: 0.096684 loss_vfl: 0.959235 loss_bbox: 0.429288 loss_dfl: 0.401598 loss: 1.766199 eta: 16:08:59 batch_cost: 0.8701 data_cost: 0.1094 ips: 64.3618 images/s [03/18 15:51:23] ppdet.engine INFO: Epoch: [180] [160/523] learning_rate: 0.096631 loss_vfl: 0.959112 loss_bbox: 0.409908 loss_dfl: 0.389497 loss: 1.765681 eta: 16:08:39 batch_cost: 0.8423 data_cost: 0.1323 ips: 66.4811 images/s [03/18 15:51:49] ppdet.engine INFO: Epoch: [180] [180/523] learning_rate: 0.096577 loss_vfl: 1.070914 loss_bbox: 0.470592 loss_dfl: 0.444378 loss: 2.037618 eta: 16:08:23 batch_cost: 1.1200 data_cost: 0.5426 ips: 50.0013 images/s [03/18 15:52:11] ppdet.engine INFO: Epoch: [180] [200/523] learning_rate: 0.096524 loss_vfl: 1.100584 loss_bbox: 0.484748 loss_dfl: 0.442221 loss: 2.012516 eta: 16:08:05 batch_cost: 0.9347 data_cost: 0.3401 ips: 59.9147 images/s [03/18 15:52:36] ppdet.engine INFO: Epoch: [180] [220/523] learning_rate: 0.096471 loss_vfl: 1.065256 loss_bbox: 0.462431 loss_dfl: 0.429980 loss: 1.943172 eta: 16:07:47 batch_cost: 1.0159 data_cost: 0.3643 ips: 55.1253 images/s [03/18 15:52:55] ppdet.engine INFO: Epoch: [180] [240/523] learning_rate: 0.096417 loss_vfl: 0.990262 loss_bbox: 0.435915 loss_dfl: 0.423151 loss: 1.858510 eta: 16:07:27 batch_cost: 0.8132 data_cost: 0.1971 ips: 68.8676 images/s [03/18 15:53:21] ppdet.engine INFO: Epoch: [180] [260/523] learning_rate: 0.096364 loss_vfl: 1.040176 loss_bbox: 0.455072 loss_dfl: 0.440197 loss: 1.955616 eta: 16:07:12 batch_cost: 1.1721 data_cost: 0.5319 ips: 47.7768 images/s [03/18 15:53:42] ppdet.engine INFO: Epoch: [180] [280/523] learning_rate: 0.096310 loss_vfl: 1.004812 loss_bbox: 0.451035 loss_dfl: 0.422112 loss: 1.871607 eta: 16:06:52 batch_cost: 0.8658 data_cost: 0.1718 ips: 64.6815 images/s [03/18 15:54:03] ppdet.engine INFO: Epoch: [180] [300/523] learning_rate: 0.096257 loss_vfl: 1.080133 loss_bbox: 0.484890 loss_dfl: 0.450193 loss: 2.038787 eta: 16:06:33 batch_cost: 0.8972 data_cost: 0.2774 ips: 62.4146 images/s [03/18 15:54:24] ppdet.engine INFO: Epoch: [180] [320/523] learning_rate: 0.096204 loss_vfl: 1.043235 loss_bbox: 0.448012 loss_dfl: 0.422156 loss: 1.902207 eta: 16:06:15 batch_cost: 0.9156 data_cost: 0.2852 ips: 61.1638 images/s [03/18 15:54:42] ppdet.engine INFO: Epoch: [180] [340/523] learning_rate: 0.096150 loss_vfl: 1.039396 loss_bbox: 0.437973 loss_dfl: 0.419506 loss: 1.899194 eta: 16:05:54 batch_cost: 0.7761 data_cost: 0.0594 ips: 72.1532 images/s [03/18 15:55:03] ppdet.engine INFO: Epoch: [180] [360/523] learning_rate: 0.096097 loss_vfl: 0.963863 loss_bbox: 0.425316 loss_dfl: 0.400237 loss: 1.785891 eta: 16:05:35 batch_cost: 0.8991 data_cost: 0.1667 ips: 62.2820 images/s [03/18 15:55:26] ppdet.engine INFO: Epoch: [180] [380/523] learning_rate: 0.096044 loss_vfl: 1.028335 loss_bbox: 0.473729 loss_dfl: 0.437746 loss: 1.967362 eta: 16:05:17 batch_cost: 0.9787 data_cost: 0.3690 ips: 57.2211 images/s [03/18 15:55:49] ppdet.engine INFO: Epoch: [180] [400/523] learning_rate: 0.095990 loss_vfl: 1.070965 loss_bbox: 0.472674 loss_dfl: 0.429510 loss: 1.938355 eta: 16:04:59 batch_cost: 0.9366 data_cost: 0.1434 ips: 59.7879 images/s [03/18 15:56:12] ppdet.engine INFO: Epoch: [180] [420/523] learning_rate: 0.095937 loss_vfl: 1.039333 loss_bbox: 0.445524 loss_dfl: 0.427042 loss: 1.922652 eta: 16:04:42 batch_cost: 1.0473 data_cost: 0.3311 ips: 53.4717 images/s [03/18 15:56:38] ppdet.engine INFO: Epoch: [180] [440/523] learning_rate: 0.095884 loss_vfl: 1.047820 loss_bbox: 0.453113 loss_dfl: 0.439388 loss: 1.961060 eta: 16:04:26 batch_cost: 1.1645 data_cost: 0.4336 ips: 48.0889 images/s [03/18 15:57:00] ppdet.engine INFO: Epoch: [180] [460/523] learning_rate: 0.095830 loss_vfl: 1.048276 loss_bbox: 0.462821 loss_dfl: 0.427953 loss: 1.960495 eta: 16:04:08 batch_cost: 0.9276 data_cost: 0.2171 ips: 60.3727 images/s [03/18 15:57:21] ppdet.engine INFO: Epoch: [180] [480/523] learning_rate: 0.095777 loss_vfl: 1.060412 loss_bbox: 0.462114 loss_dfl: 0.432972 loss: 1.956706 eta: 16:03:49 batch_cost: 0.9312 data_cost: 0.1691 ips: 60.1347 images/s [03/18 15:57:44] ppdet.engine INFO: Epoch: [180] [500/523] learning_rate: 0.095724 loss_vfl: 1.048646 loss_bbox: 0.461670 loss_dfl: 0.426303 loss: 1.927585 eta: 16:03:30 batch_cost: 0.8589 data_cost: 0.1326 ips: 65.2002 images/s [03/18 15:58:03] ppdet.engine INFO: Epoch: [180] [520/523] learning_rate: 0.095671 loss_vfl: 1.079627 loss_bbox: 0.462731 loss_dfl: 0.437786 loss: 1.965958 eta: 16:03:09 batch_cost: 0.7784 data_cost: 0.1925 ips: 71.9439 images/s [03/18 15:58:15] ppdet.engine INFO: Epoch: [181] [ 0/523] learning_rate: 0.095663 loss_vfl: 1.061450 loss_bbox: 0.453548 loss_dfl: 0.434984 loss: 1.940067 eta: 16:03:12 batch_cost: 1.2295 data_cost: 0.5876 ips: 45.5478 images/s [03/18 15:58:38] ppdet.engine INFO: Epoch: [181] [ 20/523] learning_rate: 0.095609 loss_vfl: 0.969206 loss_bbox: 0.427962 loss_dfl: 0.405611 loss: 1.820611 eta: 16:02:54 batch_cost: 0.9854 data_cost: 0.3097 ips: 56.8297 images/s [03/18 15:58:55] ppdet.engine INFO: Epoch: [181] [ 40/523] learning_rate: 0.095556 loss_vfl: 1.089563 loss_bbox: 0.477589 loss_dfl: 0.448148 loss: 2.017983 eta: 16:02:32 batch_cost: 0.6979 data_cost: 0.0334 ips: 80.2402 images/s [03/18 15:59:15] ppdet.engine INFO: Epoch: [181] [ 60/523] learning_rate: 0.095503 loss_vfl: 1.023679 loss_bbox: 0.458666 loss_dfl: 0.428416 loss: 1.903968 eta: 16:02:12 batch_cost: 0.7963 data_cost: 0.2185 ips: 70.3217 images/s [03/18 15:59:39] ppdet.engine INFO: Epoch: [181] [ 80/523] learning_rate: 0.095450 loss_vfl: 0.998862 loss_bbox: 0.453506 loss_dfl: 0.424767 loss: 1.885428 eta: 16:01:55 batch_cost: 1.0694 data_cost: 0.2597 ips: 52.3658 images/s [03/18 16:00:00] ppdet.engine INFO: Epoch: [181] [100/523] learning_rate: 0.095396 loss_vfl: 1.054727 loss_bbox: 0.447808 loss_dfl: 0.421785 loss: 1.942057 eta: 16:01:36 batch_cost: 0.8712 data_cost: 0.2143 ips: 64.2779 images/s [03/18 16:00:23] ppdet.engine INFO: Epoch: [181] [120/523] learning_rate: 0.095343 loss_vfl: 1.040897 loss_bbox: 0.452675 loss_dfl: 0.427027 loss: 1.898121 eta: 16:01:18 batch_cost: 0.9986 data_cost: 0.4169 ips: 56.0759 images/s [03/18 16:00:45] ppdet.engine INFO: Epoch: [181] [140/523] learning_rate: 0.095290 loss_vfl: 1.033995 loss_bbox: 0.445470 loss_dfl: 0.419669 loss: 1.881627 eta: 16:01:00 batch_cost: 0.9303 data_cost: 0.1758 ips: 60.1986 images/s [03/18 16:01:09] ppdet.engine INFO: Epoch: [181] [160/523] learning_rate: 0.095237 loss_vfl: 1.017830 loss_bbox: 0.447682 loss_dfl: 0.417325 loss: 1.902950 eta: 16:00:42 batch_cost: 0.9616 data_cost: 0.2381 ips: 58.2393 images/s [03/18 16:01:30] ppdet.engine INFO: Epoch: [181] [180/523] learning_rate: 0.095183 loss_vfl: 1.063895 loss_bbox: 0.445858 loss_dfl: 0.420114 loss: 1.920549 eta: 16:00:23 batch_cost: 0.9202 data_cost: 0.0907 ips: 60.8545 images/s [03/18 16:01:54] ppdet.engine INFO: Epoch: [181] [200/523] learning_rate: 0.095130 loss_vfl: 1.055834 loss_bbox: 0.485133 loss_dfl: 0.449526 loss: 2.001588 eta: 16:00:06 batch_cost: 1.0140 data_cost: 0.3083 ips: 55.2287 images/s [03/18 16:02:15] ppdet.engine INFO: Epoch: [181] [220/523] learning_rate: 0.095077 loss_vfl: 1.013590 loss_bbox: 0.460456 loss_dfl: 0.426584 loss: 1.900518 eta: 15:59:46 batch_cost: 0.8483 data_cost: 0.1918 ips: 66.0111 images/s [03/18 16:02:39] ppdet.engine INFO: Epoch: [181] [240/523] learning_rate: 0.095024 loss_vfl: 1.030551 loss_bbox: 0.469955 loss_dfl: 0.425926 loss: 1.918877 eta: 15:59:28 batch_cost: 0.9849 data_cost: 0.3213 ips: 56.8589 images/s [03/18 16:03:03] ppdet.engine INFO: Epoch: [181] [260/523] learning_rate: 0.094971 loss_vfl: 1.044805 loss_bbox: 0.446602 loss_dfl: 0.424215 loss: 1.923123 eta: 15:59:11 batch_cost: 1.0690 data_cost: 0.3173 ips: 52.3835 images/s [03/18 16:03:23] ppdet.engine INFO: Epoch: [181] [280/523] learning_rate: 0.094917 loss_vfl: 1.029012 loss_bbox: 0.458943 loss_dfl: 0.432346 loss: 1.915233 eta: 15:58:51 batch_cost: 0.8087 data_cost: 0.1668 ips: 69.2455 images/s [03/18 16:03:40] ppdet.engine INFO: Epoch: [181] [300/523] learning_rate: 0.094864 loss_vfl: 1.020575 loss_bbox: 0.451520 loss_dfl: 0.438762 loss: 1.901376 eta: 15:58:30 batch_cost: 0.7536 data_cost: 0.1693 ips: 74.3052 images/s [03/18 16:04:04] ppdet.engine INFO: Epoch: [181] [320/523] learning_rate: 0.094811 loss_vfl: 1.036787 loss_bbox: 0.460161 loss_dfl: 0.430376 loss: 1.932399 eta: 15:58:13 batch_cost: 1.0247 data_cost: 0.3458 ips: 54.6499 images/s [03/18 16:04:24] ppdet.engine INFO: Epoch: [181] [340/523] learning_rate: 0.094758 loss_vfl: 0.973481 loss_bbox: 0.437177 loss_dfl: 0.391401 loss: 1.787572 eta: 15:57:54 batch_cost: 0.8642 data_cost: 0.1485 ips: 64.8026 images/s [03/18 16:04:45] ppdet.engine INFO: Epoch: [181] [360/523] learning_rate: 0.094705 loss_vfl: 1.080438 loss_bbox: 0.472060 loss_dfl: 0.437907 loss: 1.991431 eta: 15:57:36 batch_cost: 0.9849 data_cost: 0.3906 ips: 56.8610 images/s [03/18 16:05:08] ppdet.engine INFO: Epoch: [181] [380/523] learning_rate: 0.094652 loss_vfl: 1.074545 loss_bbox: 0.453460 loss_dfl: 0.434310 loss: 1.949562 eta: 15:57:18 batch_cost: 0.9582 data_cost: 0.3325 ips: 58.4404 images/s [03/18 16:05:31] ppdet.engine INFO: Epoch: [181] [400/523] learning_rate: 0.094598 loss_vfl: 1.002608 loss_bbox: 0.461296 loss_dfl: 0.420185 loss: 1.871626 eta: 15:56:59 batch_cost: 0.9308 data_cost: 0.3693 ips: 60.1647 images/s [03/18 16:05:53] ppdet.engine INFO: Epoch: [181] [420/523] learning_rate: 0.094545 loss_vfl: 1.058610 loss_bbox: 0.463343 loss_dfl: 0.450849 loss: 1.992550 eta: 15:56:41 batch_cost: 0.9332 data_cost: 0.2906 ips: 60.0107 images/s [03/18 16:06:17] ppdet.engine INFO: Epoch: [181] [440/523] learning_rate: 0.094492 loss_vfl: 1.106922 loss_bbox: 0.496039 loss_dfl: 0.443952 loss: 2.061310 eta: 15:56:24 batch_cost: 1.0561 data_cost: 0.3700 ips: 53.0265 images/s [03/18 16:06:37] ppdet.engine INFO: Epoch: [181] [460/523] learning_rate: 0.094439 loss_vfl: 1.059460 loss_bbox: 0.470642 loss_dfl: 0.434281 loss: 1.969409 eta: 15:56:04 batch_cost: 0.8310 data_cost: 0.2819 ips: 67.3909 images/s [03/18 16:07:00] ppdet.engine INFO: Epoch: [181] [480/523] learning_rate: 0.094386 loss_vfl: 1.035478 loss_bbox: 0.460009 loss_dfl: 0.417003 loss: 1.873338 eta: 15:55:46 batch_cost: 1.0031 data_cost: 0.3698 ips: 55.8245 images/s [03/18 16:07:27] ppdet.engine INFO: Epoch: [181] [500/523] learning_rate: 0.094333 loss_vfl: 1.065376 loss_bbox: 0.464947 loss_dfl: 0.432050 loss: 1.928717 eta: 15:55:31 batch_cost: 1.2155 data_cost: 0.5690 ips: 46.0707 images/s [03/18 16:07:42] ppdet.engine INFO: Epoch: [181] [520/523] learning_rate: 0.094280 loss_vfl: 1.098027 loss_bbox: 0.473796 loss_dfl: 0.451167 loss: 2.073474 eta: 15:55:09 batch_cost: 0.6415 data_cost: 0.1471 ips: 87.2916 images/s [03/18 16:07:53] ppdet.engine INFO: Epoch: [182] [ 0/523] learning_rate: 0.094272 loss_vfl: 1.098027 loss_bbox: 0.489581 loss_dfl: 0.462611 loss: 2.082467 eta: 15:55:11 batch_cost: 1.0203 data_cost: 0.5692 ips: 54.8868 images/s [03/18 16:08:11] ppdet.engine INFO: Epoch: [182] [ 20/523] learning_rate: 0.094219 loss_vfl: 0.997648 loss_bbox: 0.447588 loss_dfl: 0.421652 loss: 1.861477 eta: 15:54:50 batch_cost: 0.7509 data_cost: 0.0016 ips: 74.5726 images/s [03/18 16:08:28] ppdet.engine INFO: Epoch: [182] [ 40/523] learning_rate: 0.094166 loss_vfl: 1.083641 loss_bbox: 0.472207 loss_dfl: 0.449338 loss: 2.017679 eta: 15:54:29 batch_cost: 0.7361 data_cost: 0.0025 ips: 76.0770 images/s [03/18 16:08:50] ppdet.engine INFO: Epoch: [182] [ 60/523] learning_rate: 0.094113 loss_vfl: 0.992805 loss_bbox: 0.428980 loss_dfl: 0.410768 loss: 1.836273 eta: 15:54:11 batch_cost: 0.9794 data_cost: 0.2757 ips: 57.1778 images/s [03/18 16:09:12] ppdet.engine INFO: Epoch: [182] [ 80/523] learning_rate: 0.094059 loss_vfl: 1.064260 loss_bbox: 0.460623 loss_dfl: 0.430603 loss: 1.931890 eta: 15:53:53 batch_cost: 0.9723 data_cost: 0.0504 ips: 57.5976 images/s [03/18 16:09:33] ppdet.engine INFO: Epoch: [182] [100/523] learning_rate: 0.094006 loss_vfl: 1.038351 loss_bbox: 0.450290 loss_dfl: 0.423278 loss: 1.922114 eta: 15:53:34 batch_cost: 0.9360 data_cost: 0.1077 ips: 59.8309 images/s [03/18 16:09:55] ppdet.engine INFO: Epoch: [182] [120/523] learning_rate: 0.093953 loss_vfl: 1.020969 loss_bbox: 0.454194 loss_dfl: 0.413369 loss: 1.868366 eta: 15:53:15 batch_cost: 0.9017 data_cost: 0.0055 ips: 62.1057 images/s [03/18 16:10:15] ppdet.engine INFO: Epoch: [182] [140/523] learning_rate: 0.093900 loss_vfl: 1.003208 loss_bbox: 0.453905 loss_dfl: 0.418823 loss: 1.882912 eta: 15:52:56 batch_cost: 0.8678 data_cost: 0.0129 ips: 64.5309 images/s [03/18 16:10:36] ppdet.engine INFO: Epoch: [182] [160/523] learning_rate: 0.093847 loss_vfl: 1.055887 loss_bbox: 0.475364 loss_dfl: 0.441115 loss: 1.991219 eta: 15:52:37 batch_cost: 0.8942 data_cost: 0.0103 ips: 62.6283 images/s [03/18 16:10:57] ppdet.engine INFO: Epoch: [182] [180/523] learning_rate: 0.093794 loss_vfl: 1.070574 loss_bbox: 0.465009 loss_dfl: 0.431305 loss: 1.990718 eta: 15:52:18 batch_cost: 0.8668 data_cost: 0.0210 ips: 64.6018 images/s [03/18 16:11:18] ppdet.engine INFO: Epoch: [182] [200/523] learning_rate: 0.093741 loss_vfl: 1.037989 loss_bbox: 0.461097 loss_dfl: 0.426299 loss: 1.877743 eta: 15:51:59 batch_cost: 0.8949 data_cost: 0.0003 ips: 62.5756 images/s [03/18 16:11:38] ppdet.engine INFO: Epoch: [182] [220/523] learning_rate: 0.093688 loss_vfl: 1.001933 loss_bbox: 0.444639 loss_dfl: 0.412116 loss: 1.832136 eta: 15:51:39 batch_cost: 0.8748 data_cost: 0.0114 ips: 64.0150 images/s [03/18 16:11:59] ppdet.engine INFO: Epoch: [182] [240/523] learning_rate: 0.093635 loss_vfl: 0.977953 loss_bbox: 0.429782 loss_dfl: 0.411713 loss: 1.815458 eta: 15:51:20 batch_cost: 0.8531 data_cost: 0.0032 ips: 65.6454 images/s [03/18 16:12:20] ppdet.engine INFO: Epoch: [182] [260/523] learning_rate: 0.093582 loss_vfl: 1.043752 loss_bbox: 0.465638 loss_dfl: 0.432609 loss: 1.959491 eta: 15:51:01 batch_cost: 0.9341 data_cost: 0.0063 ips: 59.9476 images/s [03/18 16:12:40] ppdet.engine INFO: Epoch: [182] [280/523] learning_rate: 0.093529 loss_vfl: 1.027541 loss_bbox: 0.461967 loss_dfl: 0.427289 loss: 1.899296 eta: 15:50:42 batch_cost: 0.8716 data_cost: 0.0012 ips: 64.2504 images/s [03/18 16:12:57] ppdet.engine INFO: Epoch: [182] [300/523] learning_rate: 0.093476 loss_vfl: 1.092561 loss_bbox: 0.492908 loss_dfl: 0.457815 loss: 2.035682 eta: 15:50:21 batch_cost: 0.7168 data_cost: 0.0031 ips: 78.1229 images/s [03/18 16:13:16] ppdet.engine INFO: Epoch: [182] [320/523] learning_rate: 0.093423 loss_vfl: 1.012750 loss_bbox: 0.452830 loss_dfl: 0.428056 loss: 1.910197 eta: 15:50:01 batch_cost: 0.8366 data_cost: 0.1727 ips: 66.9395 images/s [03/18 16:13:35] ppdet.engine INFO: Epoch: [182] [340/523] learning_rate: 0.093370 loss_vfl: 1.030921 loss_bbox: 0.453649 loss_dfl: 0.430131 loss: 1.901783 eta: 15:49:40 batch_cost: 0.7693 data_cost: 0.0082 ips: 72.7888 images/s [03/18 16:13:55] ppdet.engine INFO: Epoch: [182] [360/523] learning_rate: 0.093317 loss_vfl: 1.046475 loss_bbox: 0.450822 loss_dfl: 0.425922 loss: 1.915401 eta: 15:49:21 batch_cost: 0.8994 data_cost: 0.1194 ips: 62.2653 images/s [03/18 16:14:18] ppdet.engine INFO: Epoch: [182] [380/523] learning_rate: 0.093264 loss_vfl: 0.981442 loss_bbox: 0.429989 loss_dfl: 0.401216 loss: 1.802230 eta: 15:49:03 batch_cost: 0.9611 data_cost: 0.0925 ips: 58.2644 images/s [03/18 16:14:38] ppdet.engine INFO: Epoch: [182] [400/523] learning_rate: 0.093211 loss_vfl: 1.058562 loss_bbox: 0.474952 loss_dfl: 0.439301 loss: 1.971012 eta: 15:48:43 batch_cost: 0.8237 data_cost: 0.0945 ips: 67.9821 images/s [03/18 16:15:00] ppdet.engine INFO: Epoch: [182] [420/523] learning_rate: 0.093159 loss_vfl: 1.030142 loss_bbox: 0.437764 loss_dfl: 0.419921 loss: 1.914666 eta: 15:48:25 batch_cost: 0.9255 data_cost: 0.0124 ips: 60.5081 images/s [03/18 16:15:19] ppdet.engine INFO: Epoch: [182] [440/523] learning_rate: 0.093106 loss_vfl: 1.073197 loss_bbox: 0.486353 loss_dfl: 0.453828 loss: 2.011382 eta: 15:48:04 batch_cost: 0.7949 data_cost: 0.0037 ips: 70.4454 images/s [03/18 16:15:41] ppdet.engine INFO: Epoch: [182] [460/523] learning_rate: 0.093053 loss_vfl: 1.072964 loss_bbox: 0.458756 loss_dfl: 0.427640 loss: 1.946512 eta: 15:47:46 batch_cost: 0.9308 data_cost: 0.1658 ips: 60.1618 images/s [03/18 16:16:01] ppdet.engine INFO: Epoch: [182] [480/523] learning_rate: 0.093000 loss_vfl: 1.003462 loss_bbox: 0.444328 loss_dfl: 0.421845 loss: 1.889235 eta: 15:47:27 batch_cost: 0.9137 data_cost: 0.1276 ips: 61.2906 images/s [03/18 16:16:22] ppdet.engine INFO: Epoch: [182] [500/523] learning_rate: 0.092947 loss_vfl: 1.029277 loss_bbox: 0.476124 loss_dfl: 0.445195 loss: 1.954147 eta: 15:47:08 batch_cost: 0.8776 data_cost: 0.0111 ips: 63.8090 images/s [03/18 16:16:38] ppdet.engine INFO: Epoch: [182] [520/523] learning_rate: 0.092894 loss_vfl: 1.031350 loss_bbox: 0.452897 loss_dfl: 0.425891 loss: 1.909188 eta: 15:46:46 batch_cost: 0.6701 data_cost: 0.0483 ips: 83.5663 images/s [03/18 16:16:51] ppdet.engine INFO: Epoch: [183] [ 0/523] learning_rate: 0.092886 loss_vfl: 1.007654 loss_bbox: 0.437287 loss_dfl: 0.413605 loss: 1.906324 eta: 15:46:49 batch_cost: 1.1113 data_cost: 0.4552 ips: 50.3914 images/s [03/18 16:17:11] ppdet.engine INFO: Epoch: [183] [ 20/523] learning_rate: 0.092833 loss_vfl: 1.097803 loss_bbox: 0.469413 loss_dfl: 0.441284 loss: 2.014603 eta: 15:46:29 batch_cost: 0.8466 data_cost: 0.0059 ips: 66.1489 images/s [03/18 16:17:31] ppdet.engine INFO: Epoch: [183] [ 40/523] learning_rate: 0.092780 loss_vfl: 1.019829 loss_bbox: 0.454971 loss_dfl: 0.422978 loss: 1.887023 eta: 15:46:11 batch_cost: 0.9193 data_cost: 0.0073 ips: 60.9149 images/s [03/18 16:17:51] ppdet.engine INFO: Epoch: [183] [ 60/523] learning_rate: 0.092727 loss_vfl: 1.039922 loss_bbox: 0.454127 loss_dfl: 0.431602 loss: 1.936959 eta: 15:45:51 batch_cost: 0.8430 data_cost: 0.0292 ips: 66.4313 images/s [03/18 16:18:09] ppdet.engine INFO: Epoch: [183] [ 80/523] learning_rate: 0.092674 loss_vfl: 0.997656 loss_bbox: 0.456257 loss_dfl: 0.412606 loss: 1.874587 eta: 15:45:30 batch_cost: 0.7620 data_cost: 0.0036 ips: 73.4956 images/s [03/18 16:18:28] ppdet.engine INFO: Epoch: [183] [100/523] learning_rate: 0.092622 loss_vfl: 1.053818 loss_bbox: 0.462477 loss_dfl: 0.433271 loss: 1.957885 eta: 15:45:10 batch_cost: 0.8234 data_cost: 0.0062 ips: 68.0068 images/s [03/18 16:18:51] ppdet.engine INFO: Epoch: [183] [120/523] learning_rate: 0.092569 loss_vfl: 1.074925 loss_bbox: 0.481174 loss_dfl: 0.450916 loss: 2.028426 eta: 15:44:52 batch_cost: 0.9594 data_cost: 0.1587 ips: 58.3693 images/s [03/18 16:19:12] ppdet.engine INFO: Epoch: [183] [140/523] learning_rate: 0.092516 loss_vfl: 1.016216 loss_bbox: 0.456271 loss_dfl: 0.410418 loss: 1.870326 eta: 15:44:34 batch_cost: 0.9863 data_cost: 0.1194 ips: 56.7783 images/s [03/18 16:19:34] ppdet.engine INFO: Epoch: [183] [160/523] learning_rate: 0.092463 loss_vfl: 0.999026 loss_bbox: 0.432218 loss_dfl: 0.412884 loss: 1.853110 eta: 15:44:16 batch_cost: 0.9384 data_cost: 0.0827 ips: 59.6765 images/s [03/18 16:19:56] ppdet.engine INFO: Epoch: [183] [180/523] learning_rate: 0.092410 loss_vfl: 1.031743 loss_bbox: 0.450057 loss_dfl: 0.429329 loss: 1.920019 eta: 15:43:57 batch_cost: 0.8723 data_cost: 0.0630 ips: 64.1984 images/s [03/18 16:20:17] ppdet.engine INFO: Epoch: [183] [200/523] learning_rate: 0.092357 loss_vfl: 1.044616 loss_bbox: 0.453564 loss_dfl: 0.442976 loss: 1.971402 eta: 15:43:37 batch_cost: 0.8707 data_cost: 0.0393 ips: 64.3180 images/s [03/18 16:20:37] ppdet.engine INFO: Epoch: [183] [220/523] learning_rate: 0.092305 loss_vfl: 0.990454 loss_bbox: 0.431432 loss_dfl: 0.416917 loss: 1.864226 eta: 15:43:18 batch_cost: 0.8327 data_cost: 0.0290 ips: 67.2521 images/s [03/18 16:20:58] ppdet.engine INFO: Epoch: [183] [240/523] learning_rate: 0.092252 loss_vfl: 1.077164 loss_bbox: 0.492041 loss_dfl: 0.454501 loss: 2.067258 eta: 15:42:59 batch_cost: 0.9273 data_cost: 0.0959 ips: 60.3881 images/s [03/18 16:21:22] ppdet.engine INFO: Epoch: [183] [260/523] learning_rate: 0.092199 loss_vfl: 1.049286 loss_bbox: 0.453712 loss_dfl: 0.434885 loss: 1.927952 eta: 15:42:40 batch_cost: 0.9154 data_cost: 0.0843 ips: 61.1722 images/s [03/18 16:21:42] ppdet.engine INFO: Epoch: [183] [280/523] learning_rate: 0.092146 loss_vfl: 1.021060 loss_bbox: 0.457350 loss_dfl: 0.430411 loss: 1.904925 eta: 15:42:21 batch_cost: 0.8748 data_cost: 0.0593 ips: 64.0181 images/s [03/18 16:22:02] ppdet.engine INFO: Epoch: [183] [300/523] learning_rate: 0.092093 loss_vfl: 1.019593 loss_bbox: 0.428036 loss_dfl: 0.415666 loss: 1.858182 eta: 15:42:01 batch_cost: 0.8319 data_cost: 0.0544 ips: 67.3174 images/s [03/18 16:22:23] ppdet.engine INFO: Epoch: [183] [320/523] learning_rate: 0.092041 loss_vfl: 1.067286 loss_bbox: 0.471828 loss_dfl: 0.437044 loss: 1.964546 eta: 15:41:42 batch_cost: 0.8710 data_cost: 0.1509 ips: 64.2946 images/s [03/18 16:22:43] ppdet.engine INFO: Epoch: [183] [340/523] learning_rate: 0.091988 loss_vfl: 1.025753 loss_bbox: 0.453537 loss_dfl: 0.424543 loss: 1.919002 eta: 15:41:22 batch_cost: 0.8396 data_cost: 0.0013 ips: 66.6947 images/s [03/18 16:23:01] ppdet.engine INFO: Epoch: [183] [360/523] learning_rate: 0.091935 loss_vfl: 1.083163 loss_bbox: 0.488731 loss_dfl: 0.452307 loss: 2.014174 eta: 15:41:01 batch_cost: 0.7274 data_cost: 0.0406 ips: 76.9861 images/s [03/18 16:23:23] ppdet.engine INFO: Epoch: [183] [380/523] learning_rate: 0.091882 loss_vfl: 1.072948 loss_bbox: 0.484585 loss_dfl: 0.444811 loss: 2.027976 eta: 15:40:43 batch_cost: 0.9735 data_cost: 0.2789 ips: 57.5251 images/s [03/18 16:23:42] ppdet.engine INFO: Epoch: [183] [400/523] learning_rate: 0.091830 loss_vfl: 1.041907 loss_bbox: 0.464084 loss_dfl: 0.438123 loss: 1.939563 eta: 15:40:23 batch_cost: 0.8057 data_cost: 0.0030 ips: 69.5053 images/s [03/18 16:24:02] ppdet.engine INFO: Epoch: [183] [420/523] learning_rate: 0.091777 loss_vfl: 1.004979 loss_bbox: 0.457197 loss_dfl: 0.423290 loss: 1.892182 eta: 15:40:03 batch_cost: 0.7971 data_cost: 0.0044 ips: 70.2552 images/s [03/18 16:24:24] ppdet.engine INFO: Epoch: [183] [440/523] learning_rate: 0.091724 loss_vfl: 1.067903 loss_bbox: 0.473411 loss_dfl: 0.446849 loss: 1.984904 eta: 15:39:44 batch_cost: 0.9126 data_cost: 0.2102 ips: 61.3604 images/s [03/18 16:24:45] ppdet.engine INFO: Epoch: [183] [460/523] learning_rate: 0.091671 loss_vfl: 1.044700 loss_bbox: 0.463526 loss_dfl: 0.428459 loss: 1.955562 eta: 15:39:25 batch_cost: 0.8790 data_cost: 0.2020 ips: 63.7058 images/s [03/18 16:25:06] ppdet.engine INFO: Epoch: [183] [480/523] learning_rate: 0.091619 loss_vfl: 1.088708 loss_bbox: 0.478451 loss_dfl: 0.436476 loss: 2.008637 eta: 15:39:06 batch_cost: 0.8768 data_cost: 0.1714 ips: 63.8720 images/s [03/18 16:25:28] ppdet.engine INFO: Epoch: [183] [500/523] learning_rate: 0.091566 loss_vfl: 1.045851 loss_bbox: 0.445292 loss_dfl: 0.416194 loss: 1.918625 eta: 15:38:47 batch_cost: 0.9527 data_cost: 0.0916 ips: 58.7790 images/s [03/18 16:25:45] ppdet.engine INFO: Epoch: [183] [520/523] learning_rate: 0.091513 loss_vfl: 1.056072 loss_bbox: 0.434948 loss_dfl: 0.423901 loss: 1.934352 eta: 15:38:26 batch_cost: 0.6705 data_cost: 0.0479 ips: 83.5231 images/s [03/18 16:25:58] ppdet.engine INFO: Epoch: [184] [ 0/523] learning_rate: 0.091505 loss_vfl: 1.059084 loss_bbox: 0.453380 loss_dfl: 0.433367 loss: 1.943092 eta: 15:38:28 batch_cost: 1.1366 data_cost: 0.4628 ips: 49.2703 images/s [03/18 16:26:21] ppdet.engine INFO: Epoch: [184] [ 20/523] learning_rate: 0.091453 loss_vfl: 1.079390 loss_bbox: 0.481887 loss_dfl: 0.445219 loss: 1.970290 eta: 15:38:09 batch_cost: 0.8999 data_cost: 0.0201 ips: 62.2301 images/s [03/18 16:26:43] ppdet.engine INFO: Epoch: [184] [ 40/523] learning_rate: 0.091400 loss_vfl: 1.033216 loss_bbox: 0.466427 loss_dfl: 0.438176 loss: 1.932146 eta: 15:37:51 batch_cost: 0.9852 data_cost: 0.0038 ips: 56.8390 images/s [03/18 16:27:09] ppdet.engine INFO: Epoch: [184] [ 60/523] learning_rate: 0.091347 loss_vfl: 1.044585 loss_bbox: 0.447330 loss_dfl: 0.429628 loss: 1.944386 eta: 15:37:35 batch_cost: 1.1035 data_cost: 0.0035 ips: 50.7486 images/s [03/18 16:27:29] ppdet.engine INFO: Epoch: [184] [ 80/523] learning_rate: 0.091295 loss_vfl: 1.035074 loss_bbox: 0.451722 loss_dfl: 0.420027 loss: 1.881361 eta: 15:37:15 batch_cost: 0.8079 data_cost: 0.0231 ips: 69.3125 images/s [03/18 16:27:47] ppdet.engine INFO: Epoch: [184] [100/523] learning_rate: 0.091242 loss_vfl: 1.088207 loss_bbox: 0.476698 loss_dfl: 0.444117 loss: 2.008967 eta: 15:36:55 batch_cost: 0.8476 data_cost: 0.0505 ips: 66.0676 images/s [03/18 16:28:07] ppdet.engine INFO: Epoch: [184] [120/523] learning_rate: 0.091189 loss_vfl: 1.034541 loss_bbox: 0.449602 loss_dfl: 0.426534 loss: 1.907857 eta: 15:36:34 batch_cost: 0.7423 data_cost: 0.0033 ips: 75.4388 images/s [03/18 16:28:31] ppdet.engine INFO: Epoch: [184] [140/523] learning_rate: 0.091137 loss_vfl: 1.036366 loss_bbox: 0.452898 loss_dfl: 0.436994 loss: 1.958459 eta: 15:36:18 batch_cost: 1.1036 data_cost: 0.1067 ips: 50.7438 images/s [03/18 16:28:55] ppdet.engine INFO: Epoch: [184] [160/523] learning_rate: 0.091084 loss_vfl: 1.003102 loss_bbox: 0.441616 loss_dfl: 0.407416 loss: 1.848262 eta: 15:36:00 batch_cost: 1.0020 data_cost: 0.0044 ips: 55.8855 images/s [03/18 16:29:18] ppdet.engine INFO: Epoch: [184] [180/523] learning_rate: 0.091031 loss_vfl: 1.034323 loss_bbox: 0.450769 loss_dfl: 0.429954 loss: 1.913673 eta: 15:35:43 batch_cost: 1.0011 data_cost: 0.0091 ips: 55.9382 images/s [03/18 16:29:40] ppdet.engine INFO: Epoch: [184] [200/523] learning_rate: 0.090979 loss_vfl: 1.050917 loss_bbox: 0.471462 loss_dfl: 0.445289 loss: 1.982313 eta: 15:35:24 batch_cost: 0.9115 data_cost: 0.0081 ips: 61.4404 images/s [03/18 16:30:03] ppdet.engine INFO: Epoch: [184] [220/523] learning_rate: 0.090926 loss_vfl: 1.035886 loss_bbox: 0.456314 loss_dfl: 0.433428 loss: 1.952372 eta: 15:35:06 batch_cost: 0.9830 data_cost: 0.2495 ips: 56.9678 images/s [03/18 16:30:26] ppdet.engine INFO: Epoch: [184] [240/523] learning_rate: 0.090874 loss_vfl: 1.011466 loss_bbox: 0.441050 loss_dfl: 0.423243 loss: 1.893167 eta: 15:34:48 batch_cost: 0.9725 data_cost: 0.0354 ips: 57.5848 images/s [03/18 16:30:49] ppdet.engine INFO: Epoch: [184] [260/523] learning_rate: 0.090821 loss_vfl: 1.075105 loss_bbox: 0.482075 loss_dfl: 0.445761 loss: 2.002893 eta: 15:34:30 batch_cost: 0.9967 data_cost: 0.2090 ips: 56.1858 images/s [03/18 16:31:14] ppdet.engine INFO: Epoch: [184] [280/523] learning_rate: 0.090768 loss_vfl: 1.027517 loss_bbox: 0.445735 loss_dfl: 0.428461 loss: 1.891003 eta: 15:34:15 batch_cost: 1.1517 data_cost: 0.1799 ips: 48.6228 images/s [03/18 16:31:36] ppdet.engine INFO: Epoch: [184] [300/523] learning_rate: 0.090716 loss_vfl: 1.032287 loss_bbox: 0.456774 loss_dfl: 0.423233 loss: 1.925811 eta: 15:33:55 batch_cost: 0.8226 data_cost: 0.0054 ips: 68.0785 images/s [03/18 16:31:57] ppdet.engine INFO: Epoch: [184] [320/523] learning_rate: 0.090663 loss_vfl: 1.047760 loss_bbox: 0.482690 loss_dfl: 0.445141 loss: 1.964858 eta: 15:33:36 batch_cost: 0.8833 data_cost: 0.0039 ips: 63.4019 images/s [03/18 16:32:16] ppdet.engine INFO: Epoch: [184] [340/523] learning_rate: 0.090611 loss_vfl: 1.017052 loss_bbox: 0.442169 loss_dfl: 0.414185 loss: 1.832357 eta: 15:33:16 batch_cost: 0.8430 data_cost: 0.0148 ips: 66.4328 images/s [03/18 16:32:35] ppdet.engine INFO: Epoch: [184] [360/523] learning_rate: 0.090558 loss_vfl: 1.021259 loss_bbox: 0.455320 loss_dfl: 0.415765 loss: 1.887362 eta: 15:32:56 batch_cost: 0.7697 data_cost: 0.0064 ips: 72.7570 images/s [03/18 16:32:57] ppdet.engine INFO: Epoch: [184] [380/523] learning_rate: 0.090506 loss_vfl: 1.052781 loss_bbox: 0.456508 loss_dfl: 0.431829 loss: 1.929497 eta: 15:32:37 batch_cost: 0.9307 data_cost: 0.0029 ips: 60.1698 images/s [03/18 16:33:21] ppdet.engine INFO: Epoch: [184] [400/523] learning_rate: 0.090453 loss_vfl: 0.983531 loss_bbox: 0.440410 loss_dfl: 0.416117 loss: 1.838945 eta: 15:32:20 batch_cost: 1.0758 data_cost: 0.1088 ips: 52.0523 images/s [03/18 16:33:44] ppdet.engine INFO: Epoch: [184] [420/523] learning_rate: 0.090401 loss_vfl: 1.057253 loss_bbox: 0.458013 loss_dfl: 0.441510 loss: 1.969177 eta: 15:32:02 batch_cost: 0.9716 data_cost: 0.1975 ips: 57.6343 images/s [03/18 16:34:10] ppdet.engine INFO: Epoch: [184] [440/523] learning_rate: 0.090348 loss_vfl: 1.002853 loss_bbox: 0.442659 loss_dfl: 0.421967 loss: 1.860414 eta: 15:31:46 batch_cost: 1.1156 data_cost: 0.3554 ips: 50.1977 images/s [03/18 16:34:30] ppdet.engine INFO: Epoch: [184] [460/523] learning_rate: 0.090296 loss_vfl: 1.019058 loss_bbox: 0.453611 loss_dfl: 0.424834 loss: 1.905161 eta: 15:31:26 batch_cost: 0.8202 data_cost: 0.0055 ips: 68.2763 images/s [03/18 16:34:53] ppdet.engine INFO: Epoch: [184] [480/523] learning_rate: 0.090243 loss_vfl: 1.030899 loss_bbox: 0.445816 loss_dfl: 0.424523 loss: 1.919568 eta: 15:31:08 batch_cost: 0.9616 data_cost: 0.0750 ips: 58.2369 images/s [03/18 16:35:18] ppdet.engine INFO: Epoch: [184] [500/523] learning_rate: 0.090191 loss_vfl: 1.095370 loss_bbox: 0.467057 loss_dfl: 0.454805 loss: 2.025746 eta: 15:30:51 batch_cost: 1.0462 data_cost: 0.1289 ips: 53.5245 images/s [03/18 16:35:36] ppdet.engine INFO: Epoch: [184] [520/523] learning_rate: 0.090138 loss_vfl: 1.044169 loss_bbox: 0.451264 loss_dfl: 0.437087 loss: 1.939222 eta: 15:30:30 batch_cost: 0.7514 data_cost: 0.2010 ips: 74.5304 images/s [03/18 16:35:50] ppdet.engine INFO: Epoch: [185] [ 0/523] learning_rate: 0.090130 loss_vfl: 1.058965 loss_bbox: 0.454126 loss_dfl: 0.437087 loss: 1.939222 eta: 15:30:33 batch_cost: 1.1455 data_cost: 0.5954 ips: 48.8886 images/s [03/18 16:36:14] ppdet.engine INFO: Epoch: [185] [ 20/523] learning_rate: 0.090078 loss_vfl: 1.018194 loss_bbox: 0.440147 loss_dfl: 0.414930 loss: 1.859862 eta: 15:30:14 batch_cost: 0.8893 data_cost: 0.0187 ips: 62.9683 images/s [03/18 16:36:33] ppdet.engine INFO: Epoch: [185] [ 40/523] learning_rate: 0.090025 loss_vfl: 1.024998 loss_bbox: 0.450265 loss_dfl: 0.416908 loss: 1.896348 eta: 15:29:55 batch_cost: 0.8785 data_cost: 0.0968 ips: 63.7481 images/s [03/18 16:36:53] ppdet.engine INFO: Epoch: [185] [ 60/523] learning_rate: 0.089973 loss_vfl: 1.054477 loss_bbox: 0.469583 loss_dfl: 0.440054 loss: 1.951076 eta: 15:29:35 batch_cost: 0.8230 data_cost: 0.0036 ips: 68.0457 images/s [03/18 16:37:17] ppdet.engine INFO: Epoch: [185] [ 80/523] learning_rate: 0.089920 loss_vfl: 1.020994 loss_bbox: 0.447028 loss_dfl: 0.421085 loss: 1.856978 eta: 15:29:17 batch_cost: 0.9683 data_cost: 0.0153 ips: 57.8361 images/s [03/18 16:37:40] ppdet.engine INFO: Epoch: [185] [100/523] learning_rate: 0.089868 loss_vfl: 1.067329 loss_bbox: 0.454877 loss_dfl: 0.435092 loss: 1.957885 eta: 15:28:59 batch_cost: 0.9465 data_cost: 0.0083 ips: 59.1632 images/s [03/18 16:38:02] ppdet.engine INFO: Epoch: [185] [120/523] learning_rate: 0.089815 loss_vfl: 0.996902 loss_bbox: 0.439373 loss_dfl: 0.414329 loss: 1.852673 eta: 15:28:41 batch_cost: 0.9620 data_cost: 0.1368 ips: 58.2131 images/s [03/18 16:38:26] ppdet.engine INFO: Epoch: [185] [140/523] learning_rate: 0.089763 loss_vfl: 1.033648 loss_bbox: 0.473655 loss_dfl: 0.419957 loss: 1.920566 eta: 15:28:23 batch_cost: 1.0268 data_cost: 0.2118 ips: 54.5360 images/s [03/18 16:38:50] ppdet.engine INFO: Epoch: [185] [160/523] learning_rate: 0.089711 loss_vfl: 1.021473 loss_bbox: 0.450740 loss_dfl: 0.432583 loss: 1.884266 eta: 15:28:06 batch_cost: 1.0092 data_cost: 0.2040 ips: 55.4912 images/s [03/18 16:39:14] ppdet.engine INFO: Epoch: [185] [180/523] learning_rate: 0.089658 loss_vfl: 1.035495 loss_bbox: 0.472177 loss_dfl: 0.435362 loss: 1.943526 eta: 15:27:48 batch_cost: 0.9837 data_cost: 0.2250 ips: 56.9267 images/s [03/18 16:39:37] ppdet.engine INFO: Epoch: [185] [200/523] learning_rate: 0.089606 loss_vfl: 1.049079 loss_bbox: 0.475004 loss_dfl: 0.447388 loss: 1.977505 eta: 15:27:30 batch_cost: 0.9731 data_cost: 0.0945 ips: 57.5503 images/s [03/18 16:40:00] ppdet.engine INFO: Epoch: [185] [220/523] learning_rate: 0.089553 loss_vfl: 1.015578 loss_bbox: 0.452800 loss_dfl: 0.413041 loss: 1.893406 eta: 15:27:11 batch_cost: 0.9056 data_cost: 0.1161 ips: 61.8384 images/s [03/18 16:40:23] ppdet.engine INFO: Epoch: [185] [240/523] learning_rate: 0.089501 loss_vfl: 0.979245 loss_bbox: 0.418830 loss_dfl: 0.399878 loss: 1.792575 eta: 15:26:53 batch_cost: 1.0059 data_cost: 0.2985 ips: 55.6719 images/s [03/18 16:40:47] ppdet.engine INFO: Epoch: [185] [260/523] learning_rate: 0.089449 loss_vfl: 1.091133 loss_bbox: 0.481279 loss_dfl: 0.452118 loss: 2.025992 eta: 15:26:36 batch_cost: 1.0507 data_cost: 0.3284 ips: 53.2957 images/s [03/18 16:41:05] ppdet.engine INFO: Epoch: [185] [280/523] learning_rate: 0.089396 loss_vfl: 1.050213 loss_bbox: 0.455581 loss_dfl: 0.428648 loss: 1.947107 eta: 15:26:15 batch_cost: 0.7378 data_cost: 0.0929 ips: 75.8974 images/s [03/18 16:41:25] ppdet.engine INFO: Epoch: [185] [300/523] learning_rate: 0.089344 loss_vfl: 1.061698 loss_bbox: 0.443792 loss_dfl: 0.424957 loss: 1.912245 eta: 15:25:55 batch_cost: 0.8185 data_cost: 0.1876 ips: 68.4214 images/s [03/18 16:41:47] ppdet.engine INFO: Epoch: [185] [320/523] learning_rate: 0.089291 loss_vfl: 0.983417 loss_bbox: 0.429251 loss_dfl: 0.411022 loss: 1.823169 eta: 15:25:37 batch_cost: 0.9593 data_cost: 0.0307 ips: 58.3772 images/s [03/18 16:42:08] ppdet.engine INFO: Epoch: [185] [340/523] learning_rate: 0.089239 loss_vfl: 1.037960 loss_bbox: 0.464521 loss_dfl: 0.433673 loss: 1.952081 eta: 15:25:17 batch_cost: 0.8129 data_cost: 0.1183 ips: 68.8869 images/s [03/18 16:42:33] ppdet.engine INFO: Epoch: [185] [360/523] learning_rate: 0.089187 loss_vfl: 1.026726 loss_bbox: 0.446266 loss_dfl: 0.427190 loss: 1.897926 eta: 15:25:00 batch_cost: 1.0317 data_cost: 0.1964 ips: 54.2810 images/s [03/18 16:42:57] ppdet.engine INFO: Epoch: [185] [380/523] learning_rate: 0.089134 loss_vfl: 1.074891 loss_bbox: 0.489054 loss_dfl: 0.448111 loss: 2.013154 eta: 15:24:42 batch_cost: 0.9755 data_cost: 0.1836 ips: 57.4067 images/s [03/18 16:43:20] ppdet.engine INFO: Epoch: [185] [400/523] learning_rate: 0.089082 loss_vfl: 1.023123 loss_bbox: 0.458912 loss_dfl: 0.432101 loss: 1.902436 eta: 15:24:25 batch_cost: 1.0240 data_cost: 0.2085 ips: 54.6886 images/s [03/18 16:43:43] ppdet.engine INFO: Epoch: [185] [420/523] learning_rate: 0.089030 loss_vfl: 1.101927 loss_bbox: 0.481511 loss_dfl: 0.463596 loss: 2.052329 eta: 15:24:06 batch_cost: 0.9348 data_cost: 0.2145 ips: 59.9027 images/s [03/18 16:44:07] ppdet.engine INFO: Epoch: [185] [440/523] learning_rate: 0.088977 loss_vfl: 1.011136 loss_bbox: 0.429576 loss_dfl: 0.411377 loss: 1.824280 eta: 15:23:48 batch_cost: 0.9931 data_cost: 0.1732 ips: 56.3897 images/s [03/18 16:44:30] ppdet.engine INFO: Epoch: [185] [460/523] learning_rate: 0.088925 loss_vfl: 1.013860 loss_bbox: 0.462059 loss_dfl: 0.425320 loss: 1.881433 eta: 15:23:31 batch_cost: 1.0364 data_cost: 0.1545 ips: 54.0334 images/s [03/18 16:44:52] ppdet.engine INFO: Epoch: [185] [480/523] learning_rate: 0.088873 loss_vfl: 0.989211 loss_bbox: 0.410843 loss_dfl: 0.403779 loss: 1.812761 eta: 15:23:13 batch_cost: 1.0034 data_cost: 0.1977 ips: 55.8109 images/s [03/18 16:45:13] ppdet.engine INFO: Epoch: [185] [500/523] learning_rate: 0.088821 loss_vfl: 1.089517 loss_bbox: 0.465497 loss_dfl: 0.436355 loss: 1.992771 eta: 15:22:54 batch_cost: 0.8917 data_cost: 0.1128 ips: 62.7988 images/s [03/18 16:45:28] ppdet.engine INFO: Epoch: [185] [520/523] learning_rate: 0.088768 loss_vfl: 0.986887 loss_bbox: 0.429992 loss_dfl: 0.404593 loss: 1.823101 eta: 15:22:33 batch_cost: 0.6775 data_cost: 0.0019 ips: 82.6548 images/s [03/18 16:45:40] ppdet.engine INFO: Epoch: [186] [ 0/523] learning_rate: 0.088760 loss_vfl: 1.003985 loss_bbox: 0.430003 loss_dfl: 0.399081 loss: 1.844559 eta: 15:22:34 batch_cost: 1.0689 data_cost: 0.4387 ips: 52.3920 images/s [03/18 16:46:03] ppdet.engine INFO: Epoch: [186] [ 20/523] learning_rate: 0.088708 loss_vfl: 1.129543 loss_bbox: 0.485228 loss_dfl: 0.461274 loss: 2.090447 eta: 15:22:15 batch_cost: 0.8603 data_cost: 0.0054 ips: 65.0925 images/s [03/18 16:46:27] ppdet.engine INFO: Epoch: [186] [ 40/523] learning_rate: 0.088656 loss_vfl: 1.040425 loss_bbox: 0.475919 loss_dfl: 0.438591 loss: 1.959236 eta: 15:21:57 batch_cost: 1.0117 data_cost: 0.1527 ips: 55.3517 images/s [03/18 16:46:48] ppdet.engine INFO: Epoch: [186] [ 60/523] learning_rate: 0.088604 loss_vfl: 1.065850 loss_bbox: 0.466329 loss_dfl: 0.437755 loss: 1.975776 eta: 15:21:38 batch_cost: 0.8371 data_cost: 0.0060 ips: 66.8985 images/s [03/18 16:47:11] ppdet.engine INFO: Epoch: [186] [ 80/523] learning_rate: 0.088551 loss_vfl: 1.034604 loss_bbox: 0.466514 loss_dfl: 0.429723 loss: 1.947394 eta: 15:21:20 batch_cost: 0.9792 data_cost: 0.2534 ips: 57.1877 images/s [03/18 16:47:33] ppdet.engine INFO: Epoch: [186] [100/523] learning_rate: 0.088499 loss_vfl: 1.034649 loss_bbox: 0.450875 loss_dfl: 0.417029 loss: 1.897867 eta: 15:21:01 batch_cost: 0.9322 data_cost: 0.1510 ips: 60.0734 images/s [03/18 16:47:57] ppdet.engine INFO: Epoch: [186] [120/523] learning_rate: 0.088447 loss_vfl: 1.026172 loss_bbox: 0.439228 loss_dfl: 0.419467 loss: 1.917121 eta: 15:20:42 batch_cost: 0.8787 data_cost: 0.0044 ips: 63.7302 images/s [03/18 16:48:20] ppdet.engine INFO: Epoch: [186] [140/523] learning_rate: 0.088395 loss_vfl: 1.082097 loss_bbox: 0.491303 loss_dfl: 0.457863 loss: 2.063978 eta: 15:20:24 batch_cost: 0.9942 data_cost: 0.0818 ips: 56.3270 images/s [03/18 16:48:44] ppdet.engine INFO: Epoch: [186] [160/523] learning_rate: 0.088342 loss_vfl: 1.126965 loss_bbox: 0.461445 loss_dfl: 0.455288 loss: 2.039193 eta: 15:20:06 batch_cost: 0.9810 data_cost: 0.1642 ips: 57.0855 images/s [03/18 16:49:07] ppdet.engine INFO: Epoch: [186] [180/523] learning_rate: 0.088290 loss_vfl: 1.108297 loss_bbox: 0.477632 loss_dfl: 0.446905 loss: 2.016907 eta: 15:19:49 batch_cost: 1.0324 data_cost: 0.2594 ips: 54.2444 images/s [03/18 16:49:30] ppdet.engine INFO: Epoch: [186] [200/523] learning_rate: 0.088238 loss_vfl: 1.031040 loss_bbox: 0.444147 loss_dfl: 0.413579 loss: 1.889176 eta: 15:19:31 batch_cost: 0.9812 data_cost: 0.1103 ips: 57.0738 images/s [03/18 16:49:51] ppdet.engine INFO: Epoch: [186] [220/523] learning_rate: 0.088186 loss_vfl: 0.978530 loss_bbox: 0.437984 loss_dfl: 0.407932 loss: 1.806098 eta: 15:19:13 batch_cost: 0.9243 data_cost: 0.1509 ips: 60.5855 images/s [03/18 16:50:10] ppdet.engine INFO: Epoch: [186] [240/523] learning_rate: 0.088134 loss_vfl: 1.025676 loss_bbox: 0.441459 loss_dfl: 0.412875 loss: 1.871774 eta: 15:18:53 batch_cost: 0.8254 data_cost: 0.1508 ips: 67.8444 images/s [03/18 16:50:29] ppdet.engine INFO: Epoch: [186] [260/523] learning_rate: 0.088082 loss_vfl: 1.019668 loss_bbox: 0.422786 loss_dfl: 0.407340 loss: 1.853174 eta: 15:18:32 batch_cost: 0.7306 data_cost: 0.0032 ips: 76.6533 images/s [03/18 16:50:52] ppdet.engine INFO: Epoch: [186] [280/523] learning_rate: 0.088029 loss_vfl: 0.994516 loss_bbox: 0.427442 loss_dfl: 0.404349 loss: 1.825847 eta: 15:18:15 batch_cost: 1.0324 data_cost: 0.0334 ips: 54.2428 images/s [03/18 16:51:12] ppdet.engine INFO: Epoch: [186] [300/523] learning_rate: 0.087977 loss_vfl: 0.994552 loss_bbox: 0.458316 loss_dfl: 0.426263 loss: 1.885889 eta: 15:17:54 batch_cost: 0.7890 data_cost: 0.0022 ips: 70.9761 images/s [03/18 16:51:37] ppdet.engine INFO: Epoch: [186] [320/523] learning_rate: 0.087925 loss_vfl: 1.022749 loss_bbox: 0.444578 loss_dfl: 0.433443 loss: 1.924965 eta: 15:17:37 batch_cost: 1.0251 data_cost: 0.0030 ips: 54.6311 images/s [03/18 16:52:01] ppdet.engine INFO: Epoch: [186] [340/523] learning_rate: 0.087873 loss_vfl: 1.022577 loss_bbox: 0.442090 loss_dfl: 0.421890 loss: 1.909462 eta: 15:17:19 batch_cost: 0.9683 data_cost: 0.0932 ips: 57.8321 images/s [03/18 16:52:23] ppdet.engine INFO: Epoch: [186] [360/523] learning_rate: 0.087821 loss_vfl: 1.059536 loss_bbox: 0.469459 loss_dfl: 0.428608 loss: 1.967614 eta: 15:17:01 batch_cost: 0.9757 data_cost: 0.1767 ips: 57.3968 images/s [03/18 16:52:45] ppdet.engine INFO: Epoch: [186] [380/523] learning_rate: 0.087769 loss_vfl: 1.006254 loss_bbox: 0.435021 loss_dfl: 0.414897 loss: 1.856918 eta: 15:16:42 batch_cost: 0.9204 data_cost: 0.1403 ips: 60.8410 images/s [03/18 16:53:09] ppdet.engine INFO: Epoch: [186] [400/523] learning_rate: 0.087717 loss_vfl: 1.002024 loss_bbox: 0.450177 loss_dfl: 0.421822 loss: 1.845460 eta: 15:16:24 batch_cost: 0.9547 data_cost: 0.0755 ips: 58.6554 images/s [03/18 16:53:29] ppdet.engine INFO: Epoch: [186] [420/523] learning_rate: 0.087664 loss_vfl: 1.065025 loss_bbox: 0.467630 loss_dfl: 0.443226 loss: 2.009418 eta: 15:16:05 batch_cost: 0.8715 data_cost: 0.1101 ips: 64.2572 images/s [03/18 16:53:53] ppdet.engine INFO: Epoch: [186] [440/523] learning_rate: 0.087612 loss_vfl: 1.042007 loss_bbox: 0.445605 loss_dfl: 0.415272 loss: 1.907690 eta: 15:15:47 batch_cost: 1.0344 data_cost: 0.3614 ips: 54.1357 images/s [03/18 16:54:15] ppdet.engine INFO: Epoch: [186] [460/523] learning_rate: 0.087560 loss_vfl: 1.061391 loss_bbox: 0.463912 loss_dfl: 0.435807 loss: 1.928741 eta: 15:15:28 batch_cost: 0.8976 data_cost: 0.2562 ips: 62.3894 images/s [03/18 16:54:34] ppdet.engine INFO: Epoch: [186] [480/523] learning_rate: 0.087508 loss_vfl: 1.014514 loss_bbox: 0.477295 loss_dfl: 0.433846 loss: 1.931364 eta: 15:15:08 batch_cost: 0.8106 data_cost: 0.1136 ips: 69.0862 images/s [03/18 16:54:54] ppdet.engine INFO: Epoch: [186] [500/523] learning_rate: 0.087456 loss_vfl: 1.044125 loss_bbox: 0.461092 loss_dfl: 0.429635 loss: 1.980810 eta: 15:14:48 batch_cost: 0.7996 data_cost: 0.0055 ips: 70.0379 images/s [03/18 16:55:11] ppdet.engine INFO: Epoch: [186] [520/523] learning_rate: 0.087404 loss_vfl: 0.962270 loss_bbox: 0.412744 loss_dfl: 0.389487 loss: 1.754915 eta: 15:14:27 batch_cost: 0.7225 data_cost: 0.1574 ips: 77.5116 images/s [03/18 16:55:24] ppdet.engine INFO: Epoch: [187] [ 0/523] learning_rate: 0.087396 loss_vfl: 0.976519 loss_bbox: 0.412374 loss_dfl: 0.389487 loss: 1.772375 eta: 15:14:29 batch_cost: 1.1967 data_cost: 0.5471 ips: 46.7940 images/s [03/18 16:55:47] ppdet.engine INFO: Epoch: [187] [ 20/523] learning_rate: 0.087344 loss_vfl: 1.044355 loss_bbox: 0.470252 loss_dfl: 0.436158 loss: 1.963035 eta: 15:14:12 batch_cost: 1.0368 data_cost: 0.0023 ips: 54.0128 images/s [03/18 16:56:07] ppdet.engine INFO: Epoch: [187] [ 40/523] learning_rate: 0.087292 loss_vfl: 1.017212 loss_bbox: 0.467048 loss_dfl: 0.429140 loss: 1.907792 eta: 15:13:53 batch_cost: 0.8529 data_cost: 0.0082 ips: 65.6609 images/s [03/18 16:56:29] ppdet.engine INFO: Epoch: [187] [ 60/523] learning_rate: 0.087240 loss_vfl: 1.037176 loss_bbox: 0.467910 loss_dfl: 0.438291 loss: 1.959673 eta: 15:13:35 batch_cost: 0.9795 data_cost: 0.0010 ips: 57.1720 images/s [03/18 16:56:50] ppdet.engine INFO: Epoch: [187] [ 80/523] learning_rate: 0.087188 loss_vfl: 1.010541 loss_bbox: 0.488372 loss_dfl: 0.435812 loss: 1.952271 eta: 15:13:16 batch_cost: 0.9029 data_cost: 0.0055 ips: 62.0239 images/s [03/18 16:57:13] ppdet.engine INFO: Epoch: [187] [100/523] learning_rate: 0.087136 loss_vfl: 1.023183 loss_bbox: 0.443602 loss_dfl: 0.408592 loss: 1.855341 eta: 15:12:58 batch_cost: 1.0054 data_cost: 0.0055 ips: 55.6979 images/s [03/18 16:57:34] ppdet.engine INFO: Epoch: [187] [120/523] learning_rate: 0.087084 loss_vfl: 1.093870 loss_bbox: 0.480259 loss_dfl: 0.449974 loss: 2.024102 eta: 15:12:40 batch_cost: 0.9754 data_cost: 0.0020 ips: 57.4097 images/s [03/18 16:57:54] ppdet.engine INFO: Epoch: [187] [140/523] learning_rate: 0.087032 loss_vfl: 1.014066 loss_bbox: 0.423458 loss_dfl: 0.409867 loss: 1.850812 eta: 15:12:21 batch_cost: 0.8405 data_cost: 0.0019 ips: 66.6273 images/s [03/18 16:58:16] ppdet.engine INFO: Epoch: [187] [160/523] learning_rate: 0.086980 loss_vfl: 1.000414 loss_bbox: 0.439530 loss_dfl: 0.418531 loss: 1.826244 eta: 15:12:03 batch_cost: 1.0015 data_cost: 0.0018 ips: 55.9154 images/s [03/18 16:58:37] ppdet.engine INFO: Epoch: [187] [180/523] learning_rate: 0.086928 loss_vfl: 1.022783 loss_bbox: 0.452533 loss_dfl: 0.428214 loss: 1.894215 eta: 15:11:45 batch_cost: 0.9681 data_cost: 0.0047 ips: 57.8480 images/s [03/18 16:58:58] ppdet.engine INFO: Epoch: [187] [200/523] learning_rate: 0.086876 loss_vfl: 1.021192 loss_bbox: 0.438979 loss_dfl: 0.420559 loss: 1.914444 eta: 15:11:25 batch_cost: 0.8556 data_cost: 0.0050 ips: 65.4481 images/s [03/18 16:59:16] ppdet.engine INFO: Epoch: [187] [220/523] learning_rate: 0.086824 loss_vfl: 1.061615 loss_bbox: 0.445417 loss_dfl: 0.432498 loss: 1.953253 eta: 15:11:04 batch_cost: 0.7308 data_cost: 0.0015 ips: 76.6327 images/s [03/18 16:59:33] ppdet.engine INFO: Epoch: [187] [240/523] learning_rate: 0.086772 loss_vfl: 1.021893 loss_bbox: 0.440724 loss_dfl: 0.417564 loss: 1.867923 eta: 15:10:43 batch_cost: 0.7139 data_cost: 0.0075 ips: 78.4423 images/s [03/18 16:59:53] ppdet.engine INFO: Epoch: [187] [260/523] learning_rate: 0.086720 loss_vfl: 1.027170 loss_bbox: 0.437764 loss_dfl: 0.426218 loss: 1.889726 eta: 15:10:24 batch_cost: 0.8772 data_cost: 0.0063 ips: 63.8422 images/s [03/18 17:00:14] ppdet.engine INFO: Epoch: [187] [280/523] learning_rate: 0.086668 loss_vfl: 1.009271 loss_bbox: 0.457824 loss_dfl: 0.427477 loss: 1.914712 eta: 15:10:06 batch_cost: 0.9465 data_cost: 0.0108 ips: 59.1676 images/s [03/18 17:00:36] ppdet.engine INFO: Epoch: [187] [300/523] learning_rate: 0.086616 loss_vfl: 1.034217 loss_bbox: 0.471691 loss_dfl: 0.435168 loss: 1.929815 eta: 15:09:48 batch_cost: 0.9577 data_cost: 0.0109 ips: 58.4744 images/s [03/18 17:00:56] ppdet.engine INFO: Epoch: [187] [320/523] learning_rate: 0.086564 loss_vfl: 1.049836 loss_bbox: 0.488360 loss_dfl: 0.442826 loss: 1.962423 eta: 15:09:29 batch_cost: 0.9296 data_cost: 0.0045 ips: 60.2425 images/s [03/18 17:01:19] ppdet.engine INFO: Epoch: [187] [340/523] learning_rate: 0.086513 loss_vfl: 1.011406 loss_bbox: 0.481885 loss_dfl: 0.432920 loss: 1.926505 eta: 15:09:11 batch_cost: 0.9964 data_cost: 0.0046 ips: 56.1995 images/s [03/18 17:01:39] ppdet.engine INFO: Epoch: [187] [360/523] learning_rate: 0.086461 loss_vfl: 0.998273 loss_bbox: 0.445035 loss_dfl: 0.411944 loss: 1.866379 eta: 15:08:52 batch_cost: 0.8991 data_cost: 0.0028 ips: 62.2822 images/s [03/18 17:01:58] ppdet.engine INFO: Epoch: [187] [380/523] learning_rate: 0.086409 loss_vfl: 1.052833 loss_bbox: 0.491505 loss_dfl: 0.461054 loss: 2.029416 eta: 15:08:32 batch_cost: 0.8150 data_cost: 0.0053 ips: 68.7087 images/s [03/18 17:02:22] ppdet.engine INFO: Epoch: [187] [400/523] learning_rate: 0.086357 loss_vfl: 1.051188 loss_bbox: 0.459428 loss_dfl: 0.435177 loss: 1.953842 eta: 15:08:15 batch_cost: 1.0475 data_cost: 0.0048 ips: 53.4626 images/s [03/18 17:02:43] ppdet.engine INFO: Epoch: [187] [420/523] learning_rate: 0.086305 loss_vfl: 1.066461 loss_bbox: 0.440892 loss_dfl: 0.433335 loss: 1.941666 eta: 15:07:57 batch_cost: 0.9520 data_cost: 0.0032 ips: 58.8253 images/s [03/18 17:03:06] ppdet.engine INFO: Epoch: [187] [440/523] learning_rate: 0.086253 loss_vfl: 0.990957 loss_bbox: 0.433350 loss_dfl: 0.409961 loss: 1.830865 eta: 15:07:39 batch_cost: 1.0166 data_cost: 0.0063 ips: 55.0834 images/s [03/18 17:03:26] ppdet.engine INFO: Epoch: [187] [460/523] learning_rate: 0.086201 loss_vfl: 1.010629 loss_bbox: 0.428148 loss_dfl: 0.409976 loss: 1.849552 eta: 15:07:21 batch_cost: 0.9091 data_cost: 0.0042 ips: 61.5965 images/s [03/18 17:03:44] ppdet.engine INFO: Epoch: [187] [480/523] learning_rate: 0.086149 loss_vfl: 1.045827 loss_bbox: 0.479044 loss_dfl: 0.431867 loss: 1.971359 eta: 15:07:00 batch_cost: 0.7184 data_cost: 0.0228 ips: 77.9486 images/s [03/18 17:04:04] ppdet.engine INFO: Epoch: [187] [500/523] learning_rate: 0.086098 loss_vfl: 1.082016 loss_bbox: 0.475425 loss_dfl: 0.446702 loss: 2.003485 eta: 15:06:40 batch_cost: 0.8738 data_cost: 0.0025 ips: 64.0911 images/s [03/18 17:04:18] ppdet.engine INFO: Epoch: [187] [520/523] learning_rate: 0.086046 loss_vfl: 1.044926 loss_bbox: 0.453069 loss_dfl: 0.421088 loss: 1.903719 eta: 15:06:18 batch_cost: 0.6076 data_cost: 0.0021 ips: 92.1639 images/s [03/18 17:04:28] ppdet.engine INFO: Epoch: [188] [ 0/523] learning_rate: 0.086038 loss_vfl: 1.035192 loss_bbox: 0.442145 loss_dfl: 0.410672 loss: 1.872389 eta: 15:06:18 batch_cost: 0.9104 data_cost: 0.3509 ips: 61.5096 images/s [03/18 17:04:50] ppdet.engine INFO: Epoch: [188] [ 20/523] learning_rate: 0.085986 loss_vfl: 1.041948 loss_bbox: 0.452614 loss_dfl: 0.440203 loss: 1.931696 eta: 15:06:00 batch_cost: 0.9592 data_cost: 0.0562 ips: 58.3848 images/s [03/18 17:05:13] ppdet.engine INFO: Epoch: [188] [ 40/523] learning_rate: 0.085934 loss_vfl: 1.012055 loss_bbox: 0.469061 loss_dfl: 0.432412 loss: 1.921740 eta: 15:05:42 batch_cost: 1.0150 data_cost: 0.0049 ips: 55.1730 images/s [03/18 17:05:34] ppdet.engine INFO: Epoch: [188] [ 60/523] learning_rate: 0.085882 loss_vfl: 1.078806 loss_bbox: 0.487161 loss_dfl: 0.450431 loss: 2.033246 eta: 15:05:23 batch_cost: 0.8773 data_cost: 0.1089 ips: 63.8290 images/s [03/18 17:05:55] ppdet.engine INFO: Epoch: [188] [ 80/523] learning_rate: 0.085831 loss_vfl: 1.095035 loss_bbox: 0.464216 loss_dfl: 0.429633 loss: 1.965903 eta: 15:05:04 batch_cost: 0.8564 data_cost: 0.0746 ips: 65.3924 images/s [03/18 17:06:17] ppdet.engine INFO: Epoch: [188] [100/523] learning_rate: 0.085779 loss_vfl: 1.027513 loss_bbox: 0.455176 loss_dfl: 0.432785 loss: 1.913944 eta: 15:04:45 batch_cost: 0.9395 data_cost: 0.1366 ips: 59.6069 images/s [03/18 17:06:37] ppdet.engine INFO: Epoch: [188] [120/523] learning_rate: 0.085727 loss_vfl: 1.053043 loss_bbox: 0.470004 loss_dfl: 0.448544 loss: 1.977644 eta: 15:04:27 batch_cost: 0.9314 data_cost: 0.1538 ips: 60.1242 images/s [03/18 17:07:00] ppdet.engine INFO: Epoch: [188] [140/523] learning_rate: 0.085675 loss_vfl: 1.033979 loss_bbox: 0.456663 loss_dfl: 0.427482 loss: 1.922634 eta: 15:04:10 batch_cost: 1.0412 data_cost: 0.2207 ips: 53.7853 images/s [03/18 17:07:23] ppdet.engine INFO: Epoch: [188] [160/523] learning_rate: 0.085624 loss_vfl: 1.024674 loss_bbox: 0.448811 loss_dfl: 0.411090 loss: 1.874883 eta: 15:03:53 batch_cost: 1.0460 data_cost: 0.3809 ips: 53.5386 images/s [03/18 17:07:43] ppdet.engine INFO: Epoch: [188] [180/523] learning_rate: 0.085572 loss_vfl: 1.042655 loss_bbox: 0.453587 loss_dfl: 0.428326 loss: 1.900363 eta: 15:03:33 batch_cost: 0.8208 data_cost: 0.0313 ips: 68.2238 images/s [03/18 17:08:05] ppdet.engine INFO: Epoch: [188] [200/523] learning_rate: 0.085520 loss_vfl: 1.047872 loss_bbox: 0.453386 loss_dfl: 0.425589 loss: 1.937639 eta: 15:03:14 batch_cost: 0.9112 data_cost: 0.1414 ips: 61.4575 images/s [03/18 17:08:27] ppdet.engine INFO: Epoch: [188] [220/523] learning_rate: 0.085468 loss_vfl: 1.037253 loss_bbox: 0.462514 loss_dfl: 0.429305 loss: 1.920993 eta: 15:02:55 batch_cost: 0.9013 data_cost: 0.0361 ips: 62.1313 images/s [03/18 17:08:47] ppdet.engine INFO: Epoch: [188] [240/523] learning_rate: 0.085417 loss_vfl: 0.996425 loss_bbox: 0.434201 loss_dfl: 0.409451 loss: 1.866089 eta: 15:02:35 batch_cost: 0.8449 data_cost: 0.0584 ips: 66.2783 images/s [03/18 17:09:06] ppdet.engine INFO: Epoch: [188] [260/523] learning_rate: 0.085365 loss_vfl: 1.051984 loss_bbox: 0.457365 loss_dfl: 0.438407 loss: 1.959632 eta: 15:02:16 batch_cost: 0.8163 data_cost: 0.0045 ips: 68.6045 images/s [03/18 17:09:23] ppdet.engine INFO: Epoch: [188] [280/523] learning_rate: 0.085313 loss_vfl: 0.991078 loss_bbox: 0.439833 loss_dfl: 0.408069 loss: 1.839125 eta: 15:01:54 batch_cost: 0.6712 data_cost: 0.0045 ips: 83.4309 images/s [03/18 17:09:46] ppdet.engine INFO: Epoch: [188] [300/523] learning_rate: 0.085261 loss_vfl: 0.975560 loss_bbox: 0.419124 loss_dfl: 0.415220 loss: 1.834144 eta: 15:01:36 batch_cost: 0.9936 data_cost: 0.2149 ips: 56.3607 images/s [03/18 17:10:07] ppdet.engine INFO: Epoch: [188] [320/523] learning_rate: 0.085210 loss_vfl: 0.990927 loss_bbox: 0.442015 loss_dfl: 0.411593 loss: 1.827054 eta: 15:01:18 batch_cost: 0.9221 data_cost: 0.1362 ips: 60.7287 images/s [03/18 17:10:28] ppdet.engine INFO: Epoch: [188] [340/523] learning_rate: 0.085158 loss_vfl: 1.081126 loss_bbox: 0.486388 loss_dfl: 0.442784 loss: 2.014003 eta: 15:00:59 batch_cost: 0.9249 data_cost: 0.1658 ips: 60.5482 images/s [03/18 17:10:50] ppdet.engine INFO: Epoch: [188] [360/523] learning_rate: 0.085106 loss_vfl: 1.039078 loss_bbox: 0.472387 loss_dfl: 0.433333 loss: 1.942920 eta: 15:00:41 batch_cost: 0.9605 data_cost: 0.3002 ips: 58.3046 images/s [03/18 17:11:12] ppdet.engine INFO: Epoch: [188] [380/523] learning_rate: 0.085055 loss_vfl: 1.039105 loss_bbox: 0.462771 loss_dfl: 0.423968 loss: 1.919070 eta: 15:00:23 batch_cost: 0.9587 data_cost: 0.1322 ips: 58.4095 images/s [03/18 17:11:33] ppdet.engine INFO: Epoch: [188] [400/523] learning_rate: 0.085003 loss_vfl: 1.091985 loss_bbox: 0.494130 loss_dfl: 0.461582 loss: 2.058099 eta: 15:00:03 batch_cost: 0.8535 data_cost: 0.1093 ips: 65.6091 images/s [03/18 17:11:55] ppdet.engine INFO: Epoch: [188] [420/523] learning_rate: 0.084951 loss_vfl: 1.067741 loss_bbox: 0.455549 loss_dfl: 0.426662 loss: 1.932655 eta: 14:59:44 batch_cost: 0.9257 data_cost: 0.1367 ips: 60.4962 images/s [03/18 17:12:15] ppdet.engine INFO: Epoch: [188] [440/523] learning_rate: 0.084900 loss_vfl: 1.036343 loss_bbox: 0.476186 loss_dfl: 0.438821 loss: 1.931970 eta: 14:59:25 batch_cost: 0.8251 data_cost: 0.0019 ips: 67.8684 images/s [03/18 17:12:37] ppdet.engine INFO: Epoch: [188] [460/523] learning_rate: 0.084848 loss_vfl: 1.036794 loss_bbox: 0.450458 loss_dfl: 0.433569 loss: 1.933246 eta: 14:59:06 batch_cost: 0.8784 data_cost: 0.2252 ips: 63.7553 images/s [03/18 17:12:58] ppdet.engine INFO: Epoch: [188] [480/523] learning_rate: 0.084797 loss_vfl: 1.019239 loss_bbox: 0.452203 loss_dfl: 0.429696 loss: 1.905025 eta: 14:58:47 batch_cost: 0.8864 data_cost: 0.1405 ips: 63.1753 images/s [03/18 17:13:21] ppdet.engine INFO: Epoch: [188] [500/523] learning_rate: 0.084745 loss_vfl: 1.064958 loss_bbox: 0.476589 loss_dfl: 0.443452 loss: 1.979508 eta: 14:58:29 batch_cost: 1.0051 data_cost: 0.1486 ips: 55.7160 images/s [03/18 17:13:35] ppdet.engine INFO: Epoch: [188] [520/523] learning_rate: 0.084693 loss_vfl: 1.030211 loss_bbox: 0.464445 loss_dfl: 0.433170 loss: 1.940787 eta: 14:58:07 batch_cost: 0.6335 data_cost: 0.0028 ips: 88.3977 images/s [03/18 17:13:47] ppdet.engine INFO: Epoch: [189] [ 0/523] learning_rate: 0.084686 loss_vfl: 1.048980 loss_bbox: 0.482472 loss_dfl: 0.439479 loss: 1.964917 eta: 14:58:09 batch_cost: 1.0822 data_cost: 0.4348 ips: 51.7467 images/s [03/18 17:14:07] ppdet.engine INFO: Epoch: [189] [ 20/523] learning_rate: 0.084634 loss_vfl: 1.068778 loss_bbox: 0.470199 loss_dfl: 0.445132 loss: 1.984254 eta: 14:57:49 batch_cost: 0.8391 data_cost: 0.0053 ips: 66.7415 images/s [03/18 17:14:27] ppdet.engine INFO: Epoch: [189] [ 40/523] learning_rate: 0.084582 loss_vfl: 1.016619 loss_bbox: 0.469639 loss_dfl: 0.431790 loss: 1.893675 eta: 14:57:30 batch_cost: 0.8633 data_cost: 0.0368 ips: 64.8688 images/s [03/18 17:14:54] ppdet.engine INFO: Epoch: [189] [ 60/523] learning_rate: 0.084531 loss_vfl: 1.011338 loss_bbox: 0.443916 loss_dfl: 0.405125 loss: 1.878607 eta: 14:57:14 batch_cost: 1.1564 data_cost: 0.0304 ips: 48.4282 images/s [03/18 17:15:19] ppdet.engine INFO: Epoch: [189] [ 80/523] learning_rate: 0.084479 loss_vfl: 0.998846 loss_bbox: 0.460013 loss_dfl: 0.415094 loss: 1.862332 eta: 14:56:57 batch_cost: 1.0561 data_cost: 0.4140 ips: 53.0244 images/s [03/18 17:15:40] ppdet.engine INFO: Epoch: [189] [100/523] learning_rate: 0.084428 loss_vfl: 1.012122 loss_bbox: 0.444277 loss_dfl: 0.417845 loss: 1.864716 eta: 14:56:39 batch_cost: 0.9599 data_cost: 0.1922 ips: 58.3403 images/s [03/18 17:16:05] ppdet.engine INFO: Epoch: [189] [120/523] learning_rate: 0.084376 loss_vfl: 1.100987 loss_bbox: 0.464519 loss_dfl: 0.452745 loss: 2.023637 eta: 14:56:22 batch_cost: 1.1058 data_cost: 0.2409 ips: 50.6417 images/s [03/18 17:16:29] ppdet.engine INFO: Epoch: [189] [140/523] learning_rate: 0.084325 loss_vfl: 1.012774 loss_bbox: 0.440080 loss_dfl: 0.424016 loss: 1.874528 eta: 14:56:05 batch_cost: 1.0241 data_cost: 0.1364 ips: 54.6826 images/s [03/18 17:16:52] ppdet.engine INFO: Epoch: [189] [160/523] learning_rate: 0.084273 loss_vfl: 1.059895 loss_bbox: 0.467767 loss_dfl: 0.433241 loss: 1.955317 eta: 14:55:47 batch_cost: 1.0299 data_cost: 0.2870 ips: 54.3740 images/s [03/18 17:17:16] ppdet.engine INFO: Epoch: [189] [180/523] learning_rate: 0.084221 loss_vfl: 1.022706 loss_bbox: 0.442393 loss_dfl: 0.424375 loss: 1.895710 eta: 14:55:30 batch_cost: 1.0465 data_cost: 0.1588 ips: 53.5120 images/s [03/18 17:17:38] ppdet.engine INFO: Epoch: [189] [200/523] learning_rate: 0.084170 loss_vfl: 1.068816 loss_bbox: 0.462727 loss_dfl: 0.436642 loss: 1.970917 eta: 14:55:10 batch_cost: 0.8144 data_cost: 0.0047 ips: 68.7583 images/s [03/18 17:18:00] ppdet.engine INFO: Epoch: [189] [220/523] learning_rate: 0.084118 loss_vfl: 1.047377 loss_bbox: 0.459387 loss_dfl: 0.439549 loss: 1.951949 eta: 14:54:52 batch_cost: 0.9898 data_cost: 0.1229 ips: 56.5771 images/s [03/18 17:18:19] ppdet.engine INFO: Epoch: [189] [240/523] learning_rate: 0.084067 loss_vfl: 1.035482 loss_bbox: 0.452289 loss_dfl: 0.432779 loss: 1.914091 eta: 14:54:32 batch_cost: 0.7848 data_cost: 0.0046 ips: 71.3581 images/s [03/18 17:18:39] ppdet.engine INFO: Epoch: [189] [260/523] learning_rate: 0.084015 loss_vfl: 1.064247 loss_bbox: 0.459714 loss_dfl: 0.432691 loss: 1.958710 eta: 14:54:13 batch_cost: 0.8427 data_cost: 0.0091 ips: 66.4527 images/s [03/18 17:19:03] ppdet.engine INFO: Epoch: [189] [280/523] learning_rate: 0.083964 loss_vfl: 1.024199 loss_bbox: 0.436136 loss_dfl: 0.418483 loss: 1.895259 eta: 14:53:54 batch_cost: 0.9695 data_cost: 0.0049 ips: 57.7598 images/s [03/18 17:19:26] ppdet.engine INFO: Epoch: [189] [300/523] learning_rate: 0.083913 loss_vfl: 1.015170 loss_bbox: 0.429882 loss_dfl: 0.407941 loss: 1.869491 eta: 14:53:36 batch_cost: 0.9555 data_cost: 0.0031 ips: 58.6099 images/s [03/18 17:19:50] ppdet.engine INFO: Epoch: [189] [320/523] learning_rate: 0.083861 loss_vfl: 1.062642 loss_bbox: 0.463889 loss_dfl: 0.424952 loss: 1.955241 eta: 14:53:18 batch_cost: 0.9994 data_cost: 0.0371 ips: 56.0326 images/s [03/18 17:20:12] ppdet.engine INFO: Epoch: [189] [340/523] learning_rate: 0.083810 loss_vfl: 0.995101 loss_bbox: 0.443162 loss_dfl: 0.436321 loss: 1.881224 eta: 14:53:00 batch_cost: 0.9533 data_cost: 0.0768 ips: 58.7436 images/s [03/18 17:20:35] ppdet.engine INFO: Epoch: [189] [360/523] learning_rate: 0.083758 loss_vfl: 1.046565 loss_bbox: 0.464379 loss_dfl: 0.435878 loss: 1.944753 eta: 14:52:42 batch_cost: 0.9484 data_cost: 0.0490 ips: 59.0458 images/s [03/18 17:20:57] ppdet.engine INFO: Epoch: [189] [380/523] learning_rate: 0.083707 loss_vfl: 1.023223 loss_bbox: 0.441117 loss_dfl: 0.434566 loss: 1.901943 eta: 14:52:22 batch_cost: 0.8614 data_cost: 0.0342 ips: 65.0127 images/s [03/18 17:21:22] ppdet.engine INFO: Epoch: [189] [400/523] learning_rate: 0.083655 loss_vfl: 1.027984 loss_bbox: 0.455454 loss_dfl: 0.430802 loss: 1.904962 eta: 14:52:06 batch_cost: 1.0918 data_cost: 0.1241 ips: 51.2911 images/s [03/18 17:21:46] ppdet.engine INFO: Epoch: [189] [420/523] learning_rate: 0.083604 loss_vfl: 1.020450 loss_bbox: 0.427817 loss_dfl: 0.423702 loss: 1.874333 eta: 14:51:48 batch_cost: 1.0355 data_cost: 0.1966 ips: 54.0824 images/s [03/18 17:22:08] ppdet.engine INFO: Epoch: [189] [440/523] learning_rate: 0.083552 loss_vfl: 1.015034 loss_bbox: 0.445985 loss_dfl: 0.417811 loss: 1.872964 eta: 14:51:29 batch_cost: 0.8596 data_cost: 0.0714 ips: 65.1503 images/s [03/18 17:22:29] ppdet.engine INFO: Epoch: [189] [460/523] learning_rate: 0.083501 loss_vfl: 1.037130 loss_bbox: 0.466985 loss_dfl: 0.445351 loss: 1.945862 eta: 14:51:10 batch_cost: 0.8514 data_cost: 0.0911 ips: 65.7711 images/s [03/18 17:22:48] ppdet.engine INFO: Epoch: [189] [480/523] learning_rate: 0.083450 loss_vfl: 1.039538 loss_bbox: 0.442875 loss_dfl: 0.416181 loss: 1.918524 eta: 14:50:50 batch_cost: 0.7986 data_cost: 0.1399 ips: 70.1228 images/s [03/18 17:23:08] ppdet.engine INFO: Epoch: [189] [500/523] learning_rate: 0.083398 loss_vfl: 1.025473 loss_bbox: 0.463968 loss_dfl: 0.437495 loss: 1.943329 eta: 14:50:29 batch_cost: 0.7977 data_cost: 0.0204 ips: 70.2004 images/s [03/18 17:23:26] ppdet.engine INFO: Epoch: [189] [520/523] learning_rate: 0.083347 loss_vfl: 1.065595 loss_bbox: 0.455456 loss_dfl: 0.430418 loss: 1.946607 eta: 14:50:08 batch_cost: 0.7093 data_cost: 0.0327 ips: 78.9557 images/s [03/18 17:23:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 17:23:29] ppdet.engine INFO: Eval iter: 0 [03/18 17:23:52] ppdet.engine INFO: Eval iter: 100 [03/18 17:24:02] ppdet.engine INFO: Eval iter: 200 [03/18 17:24:12] ppdet.engine INFO: Eval iter: 300 [03/18 17:24:22] ppdet.engine INFO: Eval iter: 400 [03/18 17:24:32] ppdet.engine INFO: Eval iter: 500 [03/18 17:24:42] ppdet.engine INFO: Eval iter: 600 [03/18 17:24:56] 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 17:24:57] 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=84.19s). Accumulating evaluation results... DONE (t=15.35s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.239 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.366 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.254 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.081 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.249 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.389 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.247 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.400 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.427 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.156 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.473 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.678 [03/18 17:26:43] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.21883542494764 [03/18 17:26:43] ppdet.engine INFO: Best test bbox ap is 0.239. [03/18 17:26:43] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 17:26:44] ppdet.engine INFO: Epoch: [190] [ 0/523] learning_rate: 0.083339 loss_vfl: 1.031637 loss_bbox: 0.454343 loss_dfl: 0.426638 loss: 1.906715 eta: 14:50:04 batch_cost: 0.6248 data_cost: 0.0327 ips: 89.6358 images/s [03/18 17:27:01] ppdet.engine INFO: Epoch: [190] [ 20/523] learning_rate: 0.083288 loss_vfl: 1.030930 loss_bbox: 0.443914 loss_dfl: 0.428931 loss: 1.902946 eta: 14:49:43 batch_cost: 0.7213 data_cost: 0.0148 ips: 77.6340 images/s [03/18 17:27:26] ppdet.engine INFO: Epoch: [190] [ 40/523] learning_rate: 0.083237 loss_vfl: 0.986282 loss_bbox: 0.428718 loss_dfl: 0.410554 loss: 1.815166 eta: 14:49:25 batch_cost: 0.9363 data_cost: 0.0202 ips: 59.8123 images/s [03/18 17:27:48] ppdet.engine INFO: Epoch: [190] [ 60/523] learning_rate: 0.083185 loss_vfl: 1.036638 loss_bbox: 0.466563 loss_dfl: 0.440670 loss: 1.951946 eta: 14:49:06 batch_cost: 0.8801 data_cost: 0.0056 ips: 63.6283 images/s [03/18 17:28:13] ppdet.engine INFO: Epoch: [190] [ 80/523] learning_rate: 0.083134 loss_vfl: 1.019251 loss_bbox: 0.436713 loss_dfl: 0.414568 loss: 1.870686 eta: 14:48:48 batch_cost: 0.9842 data_cost: 0.0012 ips: 56.8962 images/s [03/18 17:28:34] ppdet.engine INFO: Epoch: [190] [100/523] learning_rate: 0.083083 loss_vfl: 1.041165 loss_bbox: 0.462583 loss_dfl: 0.436265 loss: 1.951961 eta: 14:48:29 batch_cost: 0.9035 data_cost: 0.0022 ips: 61.9819 images/s [03/18 17:28:58] ppdet.engine INFO: Epoch: [190] [120/523] learning_rate: 0.083031 loss_vfl: 1.027460 loss_bbox: 0.436740 loss_dfl: 0.414738 loss: 1.875070 eta: 14:48:11 batch_cost: 0.9985 data_cost: 0.1574 ips: 56.0817 images/s [03/18 17:29:21] ppdet.engine INFO: Epoch: [190] [140/523] learning_rate: 0.082980 loss_vfl: 1.080733 loss_bbox: 0.462289 loss_dfl: 0.441161 loss: 1.991931 eta: 14:47:54 batch_cost: 1.0210 data_cost: 0.1803 ips: 54.8499 images/s [03/18 17:29:48] ppdet.engine INFO: Epoch: [190] [160/523] learning_rate: 0.082929 loss_vfl: 1.030421 loss_bbox: 0.446320 loss_dfl: 0.424814 loss: 1.936647 eta: 14:47:37 batch_cost: 1.1032 data_cost: 0.1599 ips: 50.7620 images/s [03/18 17:30:11] ppdet.engine INFO: Epoch: [190] [180/523] learning_rate: 0.082877 loss_vfl: 1.012071 loss_bbox: 0.468139 loss_dfl: 0.428864 loss: 1.916585 eta: 14:47:19 batch_cost: 0.9313 data_cost: 0.0065 ips: 60.1278 images/s [03/18 17:30:33] ppdet.engine INFO: Epoch: [190] [200/523] learning_rate: 0.082826 loss_vfl: 1.011617 loss_bbox: 0.439761 loss_dfl: 0.403068 loss: 1.811583 eta: 14:47:00 batch_cost: 0.8998 data_cost: 0.0061 ips: 62.2391 images/s [03/18 17:30:58] ppdet.engine INFO: Epoch: [190] [220/523] learning_rate: 0.082775 loss_vfl: 1.087792 loss_bbox: 0.482772 loss_dfl: 0.442659 loss: 2.010852 eta: 14:46:43 batch_cost: 1.0535 data_cost: 0.0004 ips: 53.1582 images/s [03/18 17:31:14] ppdet.engine INFO: Epoch: [190] [240/523] learning_rate: 0.082724 loss_vfl: 0.977479 loss_bbox: 0.422053 loss_dfl: 0.415449 loss: 1.823718 eta: 14:46:22 batch_cost: 0.7051 data_cost: 0.0022 ips: 79.4201 images/s [03/18 17:31:33] ppdet.engine INFO: Epoch: [190] [260/523] learning_rate: 0.082672 loss_vfl: 1.027901 loss_bbox: 0.450977 loss_dfl: 0.430295 loss: 1.926351 eta: 14:46:01 batch_cost: 0.7713 data_cost: 0.0315 ips: 72.6004 images/s [03/18 17:31:57] ppdet.engine INFO: Epoch: [190] [280/523] learning_rate: 0.082621 loss_vfl: 1.042755 loss_bbox: 0.451614 loss_dfl: 0.436847 loss: 1.937083 eta: 14:45:44 batch_cost: 1.0363 data_cost: 0.2037 ips: 54.0371 images/s [03/18 17:32:22] ppdet.engine INFO: Epoch: [190] [300/523] learning_rate: 0.082570 loss_vfl: 1.033080 loss_bbox: 0.460880 loss_dfl: 0.439444 loss: 1.911308 eta: 14:45:26 batch_cost: 0.9987 data_cost: 0.2638 ips: 56.0757 images/s [03/18 17:32:46] ppdet.engine INFO: Epoch: [190] [320/523] learning_rate: 0.082519 loss_vfl: 0.958198 loss_bbox: 0.420855 loss_dfl: 0.407576 loss: 1.791015 eta: 14:45:09 batch_cost: 1.0711 data_cost: 0.2973 ips: 52.2836 images/s [03/18 17:33:10] ppdet.engine INFO: Epoch: [190] [340/523] learning_rate: 0.082467 loss_vfl: 1.084326 loss_bbox: 0.495342 loss_dfl: 0.450748 loss: 2.034733 eta: 14:44:52 batch_cost: 1.0349 data_cost: 0.2409 ips: 54.1095 images/s [03/18 17:33:33] ppdet.engine INFO: Epoch: [190] [360/523] learning_rate: 0.082416 loss_vfl: 1.024415 loss_bbox: 0.443951 loss_dfl: 0.428434 loss: 1.923166 eta: 14:44:34 batch_cost: 0.9836 data_cost: 0.2018 ips: 56.9335 images/s [03/18 17:33:56] ppdet.engine INFO: Epoch: [190] [380/523] learning_rate: 0.082365 loss_vfl: 1.023116 loss_bbox: 0.458335 loss_dfl: 0.434011 loss: 1.925218 eta: 14:44:16 batch_cost: 1.0044 data_cost: 0.1774 ips: 55.7537 images/s [03/18 17:34:21] ppdet.engine INFO: Epoch: [190] [400/523] learning_rate: 0.082314 loss_vfl: 1.033377 loss_bbox: 0.456798 loss_dfl: 0.419077 loss: 1.910409 eta: 14:43:59 batch_cost: 1.0708 data_cost: 0.2897 ips: 52.2953 images/s [03/18 17:34:43] ppdet.engine INFO: Epoch: [190] [420/523] learning_rate: 0.082263 loss_vfl: 1.062345 loss_bbox: 0.465561 loss_dfl: 0.432080 loss: 1.965092 eta: 14:43:40 batch_cost: 0.8747 data_cost: 0.1223 ips: 64.0213 images/s [03/18 17:35:08] ppdet.engine INFO: Epoch: [190] [440/523] learning_rate: 0.082211 loss_vfl: 1.069180 loss_bbox: 0.465650 loss_dfl: 0.435596 loss: 1.969784 eta: 14:43:23 batch_cost: 1.0267 data_cost: 0.3857 ips: 54.5447 images/s [03/18 17:35:28] ppdet.engine INFO: Epoch: [190] [460/523] learning_rate: 0.082160 loss_vfl: 1.027746 loss_bbox: 0.468350 loss_dfl: 0.426341 loss: 1.924785 eta: 14:43:04 batch_cost: 0.8822 data_cost: 0.0836 ips: 63.4755 images/s [03/18 17:35:48] ppdet.engine INFO: Epoch: [190] [480/523] learning_rate: 0.082109 loss_vfl: 1.018713 loss_bbox: 0.443723 loss_dfl: 0.423359 loss: 1.887818 eta: 14:42:43 batch_cost: 0.7932 data_cost: 0.0974 ips: 70.5973 images/s [03/18 17:36:08] ppdet.engine INFO: Epoch: [190] [500/523] learning_rate: 0.082058 loss_vfl: 1.035589 loss_bbox: 0.458575 loss_dfl: 0.424355 loss: 1.911210 eta: 14:42:24 batch_cost: 0.8189 data_cost: 0.0035 ips: 68.3816 images/s [03/18 17:36:26] ppdet.engine INFO: Epoch: [190] [520/523] learning_rate: 0.082007 loss_vfl: 1.048452 loss_bbox: 0.465742 loss_dfl: 0.432568 loss: 1.947200 eta: 14:42:04 batch_cost: 0.8071 data_cost: 0.1985 ips: 69.3868 images/s [03/18 17:36:40] ppdet.engine INFO: Epoch: [191] [ 0/523] learning_rate: 0.081999 loss_vfl: 1.040144 loss_bbox: 0.464006 loss_dfl: 0.430245 loss: 1.924280 eta: 14:42:06 batch_cost: 1.3102 data_cost: 0.7233 ips: 42.7412 images/s [03/18 17:37:00] ppdet.engine INFO: Epoch: [191] [ 20/523] learning_rate: 0.081948 loss_vfl: 1.041046 loss_bbox: 0.462223 loss_dfl: 0.431690 loss: 1.922548 eta: 14:41:47 batch_cost: 0.8833 data_cost: 0.0008 ips: 63.3991 images/s [03/18 17:37:21] ppdet.engine INFO: Epoch: [191] [ 40/523] learning_rate: 0.081897 loss_vfl: 0.985043 loss_bbox: 0.424566 loss_dfl: 0.407441 loss: 1.811332 eta: 14:41:29 batch_cost: 0.9311 data_cost: 0.0579 ips: 60.1462 images/s [03/18 17:37:44] ppdet.engine INFO: Epoch: [191] [ 60/523] learning_rate: 0.081846 loss_vfl: 0.993547 loss_bbox: 0.441531 loss_dfl: 0.416280 loss: 1.843434 eta: 14:41:12 batch_cost: 1.0536 data_cost: 0.0675 ips: 53.1512 images/s [03/18 17:38:04] ppdet.engine INFO: Epoch: [191] [ 80/523] learning_rate: 0.081795 loss_vfl: 1.064219 loss_bbox: 0.459651 loss_dfl: 0.446513 loss: 1.975089 eta: 14:40:52 batch_cost: 0.8264 data_cost: 0.0103 ips: 67.7650 images/s [03/18 17:38:25] ppdet.engine INFO: Epoch: [191] [100/523] learning_rate: 0.081744 loss_vfl: 1.050210 loss_bbox: 0.463524 loss_dfl: 0.440132 loss: 1.969062 eta: 14:40:33 batch_cost: 0.9220 data_cost: 0.0045 ips: 60.7377 images/s [03/18 17:38:48] ppdet.engine INFO: Epoch: [191] [120/523] learning_rate: 0.081693 loss_vfl: 1.041810 loss_bbox: 0.462649 loss_dfl: 0.435337 loss: 1.914841 eta: 14:40:16 batch_cost: 1.0120 data_cost: 0.0076 ips: 55.3374 images/s [03/18 17:39:10] ppdet.engine INFO: Epoch: [191] [140/523] learning_rate: 0.081642 loss_vfl: 1.053504 loss_bbox: 0.449877 loss_dfl: 0.425290 loss: 1.917446 eta: 14:39:57 batch_cost: 0.9471 data_cost: 0.0062 ips: 59.1260 images/s [03/18 17:39:31] ppdet.engine INFO: Epoch: [191] [160/523] learning_rate: 0.081590 loss_vfl: 1.015147 loss_bbox: 0.446126 loss_dfl: 0.429450 loss: 1.911313 eta: 14:39:38 batch_cost: 0.8991 data_cost: 0.0078 ips: 62.2843 images/s [03/18 17:39:51] ppdet.engine INFO: Epoch: [191] [180/523] learning_rate: 0.081539 loss_vfl: 1.026753 loss_bbox: 0.454612 loss_dfl: 0.427994 loss: 1.919695 eta: 14:39:19 batch_cost: 0.8655 data_cost: 0.0056 ips: 64.7003 images/s [03/18 17:40:11] ppdet.engine INFO: Epoch: [191] [200/523] learning_rate: 0.081488 loss_vfl: 0.992832 loss_bbox: 0.445574 loss_dfl: 0.406937 loss: 1.837154 eta: 14:39:00 batch_cost: 0.9168 data_cost: 0.1505 ips: 61.0844 images/s [03/18 17:40:29] ppdet.engine INFO: Epoch: [191] [220/523] learning_rate: 0.081437 loss_vfl: 1.033113 loss_bbox: 0.452322 loss_dfl: 0.425968 loss: 1.926224 eta: 14:38:39 batch_cost: 0.7264 data_cost: 0.0968 ips: 77.0899 images/s [03/18 17:40:48] ppdet.engine INFO: Epoch: [191] [240/523] learning_rate: 0.081386 loss_vfl: 1.024653 loss_bbox: 0.440545 loss_dfl: 0.423003 loss: 1.893388 eta: 14:38:19 batch_cost: 0.7556 data_cost: 0.0078 ips: 74.1112 images/s [03/18 17:41:10] ppdet.engine INFO: Epoch: [191] [260/523] learning_rate: 0.081335 loss_vfl: 0.993027 loss_bbox: 0.425256 loss_dfl: 0.414712 loss: 1.837954 eta: 14:38:01 batch_cost: 0.9381 data_cost: 0.1248 ips: 59.6928 images/s [03/18 17:41:31] ppdet.engine INFO: Epoch: [191] [280/523] learning_rate: 0.081284 loss_vfl: 1.085876 loss_bbox: 0.460945 loss_dfl: 0.439424 loss: 1.996410 eta: 14:37:42 batch_cost: 0.8940 data_cost: 0.2572 ips: 62.6369 images/s [03/18 17:41:53] ppdet.engine INFO: Epoch: [191] [300/523] learning_rate: 0.081233 loss_vfl: 1.013002 loss_bbox: 0.447312 loss_dfl: 0.414557 loss: 1.833054 eta: 14:37:24 batch_cost: 0.9826 data_cost: 0.1986 ips: 56.9930 images/s [03/18 17:42:16] ppdet.engine INFO: Epoch: [191] [320/523] learning_rate: 0.081182 loss_vfl: 1.046094 loss_bbox: 0.451113 loss_dfl: 0.416253 loss: 1.920721 eta: 14:37:05 batch_cost: 0.9429 data_cost: 0.2322 ips: 59.3933 images/s [03/18 17:42:34] ppdet.engine INFO: Epoch: [191] [340/523] learning_rate: 0.081131 loss_vfl: 1.044415 loss_bbox: 0.472869 loss_dfl: 0.425562 loss: 1.941198 eta: 14:36:45 batch_cost: 0.7720 data_cost: 0.0120 ips: 72.5404 images/s [03/18 17:42:55] ppdet.engine INFO: Epoch: [191] [360/523] learning_rate: 0.081080 loss_vfl: 1.019471 loss_bbox: 0.474371 loss_dfl: 0.432418 loss: 1.916431 eta: 14:36:26 batch_cost: 0.8944 data_cost: 0.1808 ips: 62.6117 images/s [03/18 17:43:16] ppdet.engine INFO: Epoch: [191] [380/523] learning_rate: 0.081030 loss_vfl: 1.083879 loss_bbox: 0.468089 loss_dfl: 0.446641 loss: 2.017286 eta: 14:36:07 batch_cost: 0.9034 data_cost: 0.0824 ips: 61.9853 images/s [03/18 17:43:38] ppdet.engine INFO: Epoch: [191] [400/523] learning_rate: 0.080979 loss_vfl: 1.004476 loss_bbox: 0.458537 loss_dfl: 0.421183 loss: 1.884681 eta: 14:35:49 batch_cost: 0.9894 data_cost: 0.2588 ips: 56.6026 images/s [03/18 17:43:58] ppdet.engine INFO: Epoch: [191] [420/523] learning_rate: 0.080928 loss_vfl: 0.986915 loss_bbox: 0.417690 loss_dfl: 0.397808 loss: 1.820692 eta: 14:35:30 batch_cost: 0.9131 data_cost: 0.2653 ips: 61.3264 images/s [03/18 17:44:21] ppdet.engine INFO: Epoch: [191] [440/523] learning_rate: 0.080877 loss_vfl: 0.997908 loss_bbox: 0.446483 loss_dfl: 0.420957 loss: 1.849502 eta: 14:35:12 batch_cost: 0.9511 data_cost: 0.3352 ips: 58.8780 images/s [03/18 17:44:42] ppdet.engine INFO: Epoch: [191] [460/523] learning_rate: 0.080826 loss_vfl: 0.982588 loss_bbox: 0.424050 loss_dfl: 0.406066 loss: 1.799505 eta: 14:34:54 batch_cost: 0.9730 data_cost: 0.2813 ips: 57.5514 images/s [03/18 17:45:01] ppdet.engine INFO: Epoch: [191] [480/523] learning_rate: 0.080775 loss_vfl: 1.042210 loss_bbox: 0.453346 loss_dfl: 0.418768 loss: 1.920116 eta: 14:34:35 batch_cost: 0.8460 data_cost: 0.1294 ips: 66.1929 images/s [03/18 17:45:21] ppdet.engine INFO: Epoch: [191] [500/523] learning_rate: 0.080724 loss_vfl: 1.015395 loss_bbox: 0.433840 loss_dfl: 0.407852 loss: 1.868970 eta: 14:34:16 batch_cost: 0.9408 data_cost: 0.2480 ips: 59.5215 images/s [03/18 17:45:35] ppdet.engine INFO: Epoch: [191] [520/523] learning_rate: 0.080673 loss_vfl: 1.035243 loss_bbox: 0.469083 loss_dfl: 0.440159 loss: 1.936508 eta: 14:33:54 batch_cost: 0.5848 data_cost: 0.0014 ips: 95.7648 images/s [03/18 17:45:48] ppdet.engine INFO: Epoch: [192] [ 0/523] learning_rate: 0.080665 loss_vfl: 1.044838 loss_bbox: 0.462109 loss_dfl: 0.440159 loss: 1.936508 eta: 14:33:55 batch_cost: 1.0317 data_cost: 0.4480 ips: 54.2797 images/s [03/18 17:46:09] ppdet.engine INFO: Epoch: [192] [ 20/523] learning_rate: 0.080615 loss_vfl: 0.983876 loss_bbox: 0.443680 loss_dfl: 0.421588 loss: 1.854866 eta: 14:33:37 batch_cost: 0.9024 data_cost: 0.0153 ips: 62.0584 images/s [03/18 17:46:30] ppdet.engine INFO: Epoch: [192] [ 40/523] learning_rate: 0.080564 loss_vfl: 1.012279 loss_bbox: 0.442787 loss_dfl: 0.425250 loss: 1.861052 eta: 14:33:18 batch_cost: 0.9384 data_cost: 0.0019 ips: 59.6750 images/s [03/18 17:46:54] ppdet.engine INFO: Epoch: [192] [ 60/523] learning_rate: 0.080513 loss_vfl: 1.077174 loss_bbox: 0.466589 loss_dfl: 0.439250 loss: 2.012546 eta: 14:33:01 batch_cost: 1.0515 data_cost: 0.0043 ips: 53.2553 images/s [03/18 17:47:14] ppdet.engine INFO: Epoch: [192] [ 80/523] learning_rate: 0.080462 loss_vfl: 1.024325 loss_bbox: 0.450185 loss_dfl: 0.419622 loss: 1.888404 eta: 14:32:42 batch_cost: 0.8769 data_cost: 0.0028 ips: 63.8633 images/s [03/18 17:47:35] ppdet.engine INFO: Epoch: [192] [100/523] learning_rate: 0.080411 loss_vfl: 1.089020 loss_bbox: 0.461473 loss_dfl: 0.440752 loss: 1.978027 eta: 14:32:24 batch_cost: 0.9593 data_cost: 0.0021 ips: 58.3760 images/s [03/18 17:47:57] ppdet.engine INFO: Epoch: [192] [120/523] learning_rate: 0.080360 loss_vfl: 1.042657 loss_bbox: 0.450907 loss_dfl: 0.430316 loss: 1.925570 eta: 14:32:06 batch_cost: 1.0122 data_cost: 0.0088 ips: 55.3244 images/s [03/18 17:48:19] ppdet.engine INFO: Epoch: [192] [140/523] learning_rate: 0.080310 loss_vfl: 1.036008 loss_bbox: 0.464934 loss_dfl: 0.432273 loss: 1.917634 eta: 14:31:49 batch_cost: 1.0378 data_cost: 0.0023 ips: 53.9619 images/s [03/18 17:48:40] ppdet.engine INFO: Epoch: [192] [160/523] learning_rate: 0.080259 loss_vfl: 1.014576 loss_bbox: 0.442732 loss_dfl: 0.417124 loss: 1.871359 eta: 14:31:30 batch_cost: 0.9037 data_cost: 0.0023 ips: 61.9685 images/s [03/18 17:49:02] ppdet.engine INFO: Epoch: [192] [180/523] learning_rate: 0.080208 loss_vfl: 1.014432 loss_bbox: 0.446872 loss_dfl: 0.416925 loss: 1.886641 eta: 14:31:11 batch_cost: 0.9327 data_cost: 0.0057 ips: 60.0418 images/s [03/18 17:49:23] ppdet.engine INFO: Epoch: [192] [200/523] learning_rate: 0.080157 loss_vfl: 1.019862 loss_bbox: 0.438973 loss_dfl: 0.408416 loss: 1.860901 eta: 14:30:53 batch_cost: 0.9469 data_cost: 0.0036 ips: 59.1375 images/s [03/18 17:49:44] ppdet.engine INFO: Epoch: [192] [220/523] learning_rate: 0.080106 loss_vfl: 1.070113 loss_bbox: 0.445178 loss_dfl: 0.429883 loss: 1.973613 eta: 14:30:35 batch_cost: 0.9652 data_cost: 0.0066 ips: 58.0170 images/s [03/18 17:50:01] ppdet.engine INFO: Epoch: [192] [240/523] learning_rate: 0.080056 loss_vfl: 1.051922 loss_bbox: 0.443896 loss_dfl: 0.419318 loss: 1.904619 eta: 14:30:14 batch_cost: 0.7116 data_cost: 0.0016 ips: 78.6944 images/s [03/18 17:50:20] ppdet.engine INFO: Epoch: [192] [260/523] learning_rate: 0.080005 loss_vfl: 0.971105 loss_bbox: 0.426696 loss_dfl: 0.397494 loss: 1.798625 eta: 14:29:53 batch_cost: 0.7694 data_cost: 0.0023 ips: 72.7852 images/s [03/18 17:50:37] ppdet.engine INFO: Epoch: [192] [280/523] learning_rate: 0.079954 loss_vfl: 1.014821 loss_bbox: 0.442471 loss_dfl: 0.410280 loss: 1.859943 eta: 14:29:33 batch_cost: 0.7736 data_cost: 0.0039 ips: 72.3910 images/s [03/18 17:51:00] ppdet.engine INFO: Epoch: [192] [300/523] learning_rate: 0.079903 loss_vfl: 1.029866 loss_bbox: 0.456958 loss_dfl: 0.431218 loss: 1.912919 eta: 14:29:16 batch_cost: 1.0345 data_cost: 0.0066 ips: 54.1313 images/s [03/18 17:51:22] ppdet.engine INFO: Epoch: [192] [320/523] learning_rate: 0.079853 loss_vfl: 1.048087 loss_bbox: 0.452253 loss_dfl: 0.426285 loss: 1.967424 eta: 14:28:58 batch_cost: 0.9645 data_cost: 0.0035 ips: 58.0635 images/s [03/18 17:51:43] ppdet.engine INFO: Epoch: [192] [340/523] learning_rate: 0.079802 loss_vfl: 1.022426 loss_bbox: 0.446498 loss_dfl: 0.429446 loss: 1.895798 eta: 14:28:39 batch_cost: 0.9417 data_cost: 0.0112 ips: 59.4649 images/s [03/18 17:52:03] ppdet.engine INFO: Epoch: [192] [360/523] learning_rate: 0.079751 loss_vfl: 1.013800 loss_bbox: 0.447184 loss_dfl: 0.420220 loss: 1.874849 eta: 14:28:21 batch_cost: 0.9248 data_cost: 0.0080 ips: 60.5554 images/s [03/18 17:52:25] ppdet.engine INFO: Epoch: [192] [380/523] learning_rate: 0.079701 loss_vfl: 1.035089 loss_bbox: 0.463802 loss_dfl: 0.423787 loss: 1.927362 eta: 14:28:03 batch_cost: 0.9980 data_cost: 0.0057 ips: 56.1126 images/s [03/18 17:52:45] ppdet.engine INFO: Epoch: [192] [400/523] learning_rate: 0.079650 loss_vfl: 1.016356 loss_bbox: 0.459242 loss_dfl: 0.434470 loss: 1.907904 eta: 14:27:44 batch_cost: 0.8802 data_cost: 0.0074 ips: 63.6233 images/s [03/18 17:53:06] ppdet.engine INFO: Epoch: [192] [420/523] learning_rate: 0.079599 loss_vfl: 1.002736 loss_bbox: 0.437769 loss_dfl: 0.409950 loss: 1.837181 eta: 14:27:25 batch_cost: 0.9365 data_cost: 0.0030 ips: 59.7969 images/s [03/18 17:53:26] ppdet.engine INFO: Epoch: [192] [440/523] learning_rate: 0.079549 loss_vfl: 1.063888 loss_bbox: 0.452813 loss_dfl: 0.435866 loss: 1.966398 eta: 14:27:06 batch_cost: 0.9130 data_cost: 0.0076 ips: 61.3349 images/s [03/18 17:53:47] ppdet.engine INFO: Epoch: [192] [460/523] learning_rate: 0.079498 loss_vfl: 1.010445 loss_bbox: 0.442863 loss_dfl: 0.416800 loss: 1.877584 eta: 14:26:47 batch_cost: 0.8713 data_cost: 0.0038 ips: 64.2755 images/s [03/18 17:54:08] ppdet.engine INFO: Epoch: [192] [480/523] learning_rate: 0.079447 loss_vfl: 1.057404 loss_bbox: 0.441365 loss_dfl: 0.429814 loss: 1.917083 eta: 14:26:29 batch_cost: 0.9224 data_cost: 0.0059 ips: 60.7116 images/s [03/18 17:54:30] ppdet.engine INFO: Epoch: [192] [500/523] learning_rate: 0.079397 loss_vfl: 1.001076 loss_bbox: 0.399598 loss_dfl: 0.397448 loss: 1.804715 eta: 14:26:10 batch_cost: 0.9107 data_cost: 0.0065 ips: 61.4885 images/s [03/18 17:54:45] ppdet.engine INFO: Epoch: [192] [520/523] learning_rate: 0.079346 loss_vfl: 1.042462 loss_bbox: 0.468067 loss_dfl: 0.439253 loss: 1.953961 eta: 14:25:48 batch_cost: 0.6555 data_cost: 0.0065 ips: 85.4288 images/s [03/18 17:54:57] ppdet.engine INFO: Epoch: [193] [ 0/523] learning_rate: 0.079338 loss_vfl: 1.056912 loss_bbox: 0.468067 loss_dfl: 0.442834 loss: 1.966529 eta: 14:25:50 batch_cost: 1.0222 data_cost: 0.4004 ips: 54.7819 images/s [03/18 17:55:13] ppdet.engine INFO: Epoch: [193] [ 20/523] learning_rate: 0.079288 loss_vfl: 0.977731 loss_bbox: 0.448614 loss_dfl: 0.417348 loss: 1.826914 eta: 14:25:29 batch_cost: 0.7035 data_cost: 0.0765 ips: 79.6051 images/s [03/18 17:55:37] ppdet.engine INFO: Epoch: [193] [ 40/523] learning_rate: 0.079237 loss_vfl: 1.000457 loss_bbox: 0.453763 loss_dfl: 0.422204 loss: 1.879263 eta: 14:25:11 batch_cost: 1.0009 data_cost: 0.0019 ips: 55.9472 images/s [03/18 17:56:01] ppdet.engine INFO: Epoch: [193] [ 60/523] learning_rate: 0.079187 loss_vfl: 1.042700 loss_bbox: 0.460861 loss_dfl: 0.435702 loss: 1.954947 eta: 14:24:53 batch_cost: 1.0252 data_cost: 0.1053 ips: 54.6260 images/s [03/18 17:56:25] ppdet.engine INFO: Epoch: [193] [ 80/523] learning_rate: 0.079136 loss_vfl: 0.987679 loss_bbox: 0.454489 loss_dfl: 0.419339 loss: 1.879595 eta: 14:24:35 batch_cost: 0.9609 data_cost: 0.0248 ips: 58.2802 images/s [03/18 17:56:49] ppdet.engine INFO: Epoch: [193] [100/523] learning_rate: 0.079085 loss_vfl: 1.035015 loss_bbox: 0.467934 loss_dfl: 0.439245 loss: 1.939424 eta: 14:24:17 batch_cost: 0.9831 data_cost: 0.0036 ips: 56.9603 images/s [03/18 17:57:12] ppdet.engine INFO: Epoch: [193] [120/523] learning_rate: 0.079035 loss_vfl: 0.994409 loss_bbox: 0.418612 loss_dfl: 0.403294 loss: 1.795844 eta: 14:24:00 batch_cost: 1.0250 data_cost: 0.0029 ips: 54.6365 images/s [03/18 17:57:34] ppdet.engine INFO: Epoch: [193] [140/523] learning_rate: 0.078984 loss_vfl: 1.004878 loss_bbox: 0.435397 loss_dfl: 0.411853 loss: 1.851812 eta: 14:23:40 batch_cost: 0.8309 data_cost: 0.0035 ips: 67.4007 images/s [03/18 17:57:56] ppdet.engine INFO: Epoch: [193] [160/523] learning_rate: 0.078934 loss_vfl: 1.090587 loss_bbox: 0.474325 loss_dfl: 0.458086 loss: 2.042561 eta: 14:23:22 batch_cost: 0.9458 data_cost: 0.0051 ips: 59.2094 images/s [03/18 17:58:22] ppdet.engine INFO: Epoch: [193] [180/523] learning_rate: 0.078883 loss_vfl: 1.037879 loss_bbox: 0.472374 loss_dfl: 0.434902 loss: 1.956005 eta: 14:23:04 batch_cost: 1.0387 data_cost: 0.0430 ips: 53.9114 images/s [03/18 17:58:45] ppdet.engine INFO: Epoch: [193] [200/523] learning_rate: 0.078833 loss_vfl: 1.076007 loss_bbox: 0.488473 loss_dfl: 0.449673 loss: 2.003227 eta: 14:22:46 batch_cost: 0.9829 data_cost: 0.0086 ips: 56.9729 images/s [03/18 17:59:07] ppdet.engine INFO: Epoch: [193] [220/523] learning_rate: 0.078782 loss_vfl: 1.014100 loss_bbox: 0.452944 loss_dfl: 0.415948 loss: 1.876661 eta: 14:22:28 batch_cost: 0.9175 data_cost: 0.0029 ips: 61.0323 images/s [03/18 17:59:25] ppdet.engine INFO: Epoch: [193] [240/523] learning_rate: 0.078732 loss_vfl: 1.038180 loss_bbox: 0.464045 loss_dfl: 0.434153 loss: 1.948210 eta: 14:22:08 batch_cost: 0.7953 data_cost: 0.0021 ips: 70.4166 images/s [03/18 17:59:45] ppdet.engine INFO: Epoch: [193] [260/523] learning_rate: 0.078681 loss_vfl: 1.034256 loss_bbox: 0.445620 loss_dfl: 0.426204 loss: 1.901579 eta: 14:21:48 batch_cost: 0.8303 data_cost: 0.0016 ips: 67.4444 images/s [03/18 18:00:09] ppdet.engine INFO: Epoch: [193] [280/523] learning_rate: 0.078631 loss_vfl: 1.054477 loss_bbox: 0.470050 loss_dfl: 0.419053 loss: 1.934292 eta: 14:21:30 batch_cost: 0.9463 data_cost: 0.0106 ips: 59.1793 images/s [03/18 18:00:28] ppdet.engine INFO: Epoch: [193] [300/523] learning_rate: 0.078580 loss_vfl: 1.029452 loss_bbox: 0.453298 loss_dfl: 0.431002 loss: 1.913753 eta: 14:21:10 batch_cost: 0.8414 data_cost: 0.0078 ips: 66.5591 images/s [03/18 18:00:51] ppdet.engine INFO: Epoch: [193] [320/523] learning_rate: 0.078530 loss_vfl: 1.005512 loss_bbox: 0.444235 loss_dfl: 0.412638 loss: 1.864510 eta: 14:20:51 batch_cost: 0.9231 data_cost: 0.0163 ips: 60.6637 images/s [03/18 18:01:14] ppdet.engine INFO: Epoch: [193] [340/523] learning_rate: 0.078479 loss_vfl: 1.008945 loss_bbox: 0.445253 loss_dfl: 0.414310 loss: 1.873597 eta: 14:20:34 batch_cost: 1.0361 data_cost: 0.0423 ips: 54.0502 images/s [03/18 18:01:36] ppdet.engine INFO: Epoch: [193] [360/523] learning_rate: 0.078429 loss_vfl: 1.052374 loss_bbox: 0.461461 loss_dfl: 0.437896 loss: 1.945695 eta: 14:20:16 batch_cost: 0.9693 data_cost: 0.0295 ips: 57.7764 images/s [03/18 18:02:02] ppdet.engine INFO: Epoch: [193] [380/523] learning_rate: 0.078378 loss_vfl: 1.030140 loss_bbox: 0.464789 loss_dfl: 0.435556 loss: 1.928940 eta: 14:19:59 batch_cost: 1.0683 data_cost: 0.0918 ips: 52.4212 images/s [03/18 18:02:23] ppdet.engine INFO: Epoch: [193] [400/523] learning_rate: 0.078328 loss_vfl: 1.014779 loss_bbox: 0.449268 loss_dfl: 0.421808 loss: 1.879083 eta: 14:19:41 batch_cost: 0.9504 data_cost: 0.1779 ips: 58.9256 images/s [03/18 18:02:47] ppdet.engine INFO: Epoch: [193] [420/523] learning_rate: 0.078277 loss_vfl: 1.049787 loss_bbox: 0.459500 loss_dfl: 0.431249 loss: 1.947301 eta: 14:19:23 batch_cost: 1.0203 data_cost: 0.3002 ips: 54.8863 images/s [03/18 18:03:09] ppdet.engine INFO: Epoch: [193] [440/523] learning_rate: 0.078227 loss_vfl: 1.003740 loss_bbox: 0.449293 loss_dfl: 0.420859 loss: 1.857881 eta: 14:19:05 batch_cost: 0.9742 data_cost: 0.1589 ips: 57.4825 images/s [03/18 18:03:32] ppdet.engine INFO: Epoch: [193] [460/523] learning_rate: 0.078177 loss_vfl: 1.061368 loss_bbox: 0.466338 loss_dfl: 0.439047 loss: 1.958160 eta: 14:18:47 batch_cost: 0.9835 data_cost: 0.1279 ips: 56.9377 images/s [03/18 18:03:50] ppdet.engine INFO: Epoch: [193] [480/523] learning_rate: 0.078126 loss_vfl: 1.056087 loss_bbox: 0.443072 loss_dfl: 0.429159 loss: 1.920404 eta: 14:18:27 batch_cost: 0.7625 data_cost: 0.0112 ips: 73.4447 images/s [03/18 18:04:08] ppdet.engine INFO: Epoch: [193] [500/523] learning_rate: 0.078076 loss_vfl: 0.999060 loss_bbox: 0.422947 loss_dfl: 0.409943 loss: 1.819281 eta: 14:18:06 batch_cost: 0.7182 data_cost: 0.0120 ips: 77.9739 images/s [03/18 18:04:26] ppdet.engine INFO: Epoch: [193] [520/523] learning_rate: 0.078025 loss_vfl: 1.047163 loss_bbox: 0.486371 loss_dfl: 0.441425 loss: 2.008087 eta: 14:17:45 batch_cost: 0.7483 data_cost: 0.0130 ips: 74.8344 images/s [03/18 18:04:39] ppdet.engine INFO: Epoch: [194] [ 0/523] learning_rate: 0.078018 loss_vfl: 1.033442 loss_bbox: 0.464110 loss_dfl: 0.422130 loss: 1.916688 eta: 14:17:47 batch_cost: 1.1398 data_cost: 0.4585 ips: 49.1324 images/s [03/18 18:05:03] ppdet.engine INFO: Epoch: [194] [ 20/523] learning_rate: 0.077968 loss_vfl: 1.051316 loss_bbox: 0.452414 loss_dfl: 0.422199 loss: 1.932022 eta: 14:17:29 batch_cost: 0.9922 data_cost: 0.1168 ips: 56.4384 images/s [03/18 18:05:27] ppdet.engine INFO: Epoch: [194] [ 40/523] learning_rate: 0.077917 loss_vfl: 1.008194 loss_bbox: 0.443440 loss_dfl: 0.426619 loss: 1.873933 eta: 14:17:11 batch_cost: 0.9615 data_cost: 0.1446 ips: 58.2451 images/s [03/18 18:05:52] ppdet.engine INFO: Epoch: [194] [ 60/523] learning_rate: 0.077867 loss_vfl: 1.018375 loss_bbox: 0.436706 loss_dfl: 0.429279 loss: 1.888439 eta: 14:16:55 batch_cost: 1.1034 data_cost: 0.2294 ips: 50.7537 images/s [03/18 18:06:16] ppdet.engine INFO: Epoch: [194] [ 80/523] learning_rate: 0.077816 loss_vfl: 1.066552 loss_bbox: 0.478236 loss_dfl: 0.439287 loss: 1.980769 eta: 14:16:37 batch_cost: 1.0495 data_cost: 0.1291 ips: 53.3604 images/s [03/18 18:06:39] ppdet.engine INFO: Epoch: [194] [100/523] learning_rate: 0.077766 loss_vfl: 1.045402 loss_bbox: 0.461962 loss_dfl: 0.427275 loss: 1.918919 eta: 14:16:19 batch_cost: 0.9856 data_cost: 0.2791 ips: 56.8196 images/s [03/18 18:07:03] ppdet.engine INFO: Epoch: [194] [120/523] learning_rate: 0.077716 loss_vfl: 1.061379 loss_bbox: 0.467528 loss_dfl: 0.437774 loss: 1.966807 eta: 14:16:01 batch_cost: 0.9779 data_cost: 0.0029 ips: 57.2649 images/s [03/18 18:07:29] ppdet.engine INFO: Epoch: [194] [140/523] learning_rate: 0.077666 loss_vfl: 1.025339 loss_bbox: 0.441888 loss_dfl: 0.420033 loss: 1.906032 eta: 14:15:44 batch_cost: 1.0275 data_cost: 0.0751 ips: 54.5025 images/s [03/18 18:07:50] ppdet.engine INFO: Epoch: [194] [160/523] learning_rate: 0.077615 loss_vfl: 0.959990 loss_bbox: 0.430785 loss_dfl: 0.398899 loss: 1.791492 eta: 14:15:24 batch_cost: 0.8371 data_cost: 0.0051 ips: 66.8996 images/s [03/18 18:08:12] ppdet.engine INFO: Epoch: [194] [180/523] learning_rate: 0.077565 loss_vfl: 1.007423 loss_bbox: 0.449100 loss_dfl: 0.430505 loss: 1.922466 eta: 14:15:06 batch_cost: 0.9834 data_cost: 0.2154 ips: 56.9433 images/s [03/18 18:08:29] ppdet.engine INFO: Epoch: [194] [200/523] learning_rate: 0.077515 loss_vfl: 0.996395 loss_bbox: 0.443509 loss_dfl: 0.412912 loss: 1.864737 eta: 14:14:45 batch_cost: 0.7154 data_cost: 0.0062 ips: 78.2829 images/s [03/18 18:08:51] ppdet.engine INFO: Epoch: [194] [220/523] learning_rate: 0.077464 loss_vfl: 1.071704 loss_bbox: 0.480108 loss_dfl: 0.445781 loss: 2.001149 eta: 14:14:27 batch_cost: 0.9220 data_cost: 0.0285 ips: 60.7370 images/s [03/18 18:09:18] ppdet.engine INFO: Epoch: [194] [240/523] learning_rate: 0.077414 loss_vfl: 1.081678 loss_bbox: 0.474159 loss_dfl: 0.452307 loss: 2.008555 eta: 14:14:11 batch_cost: 1.2268 data_cost: 0.4634 ips: 45.6458 images/s [03/18 18:09:40] ppdet.engine INFO: Epoch: [194] [260/523] learning_rate: 0.077364 loss_vfl: 0.981726 loss_bbox: 0.428890 loss_dfl: 0.410220 loss: 1.827707 eta: 14:13:53 batch_cost: 0.9145 data_cost: 0.2410 ips: 61.2368 images/s [03/18 18:10:03] ppdet.engine INFO: Epoch: [194] [280/523] learning_rate: 0.077314 loss_vfl: 1.015243 loss_bbox: 0.455111 loss_dfl: 0.425529 loss: 1.892652 eta: 14:13:34 batch_cost: 0.9334 data_cost: 0.2483 ips: 59.9962 images/s [03/18 18:10:25] ppdet.engine INFO: Epoch: [194] [300/523] learning_rate: 0.077264 loss_vfl: 1.044417 loss_bbox: 0.461723 loss_dfl: 0.417083 loss: 1.912339 eta: 14:13:16 batch_cost: 0.9861 data_cost: 0.2883 ips: 56.7896 images/s [03/18 18:10:49] ppdet.engine INFO: Epoch: [194] [320/523] learning_rate: 0.077213 loss_vfl: 0.982120 loss_bbox: 0.423523 loss_dfl: 0.411384 loss: 1.839337 eta: 14:12:58 batch_cost: 0.9362 data_cost: 0.0107 ips: 59.8173 images/s [03/18 18:11:15] ppdet.engine INFO: Epoch: [194] [340/523] learning_rate: 0.077163 loss_vfl: 1.050525 loss_bbox: 0.494646 loss_dfl: 0.447336 loss: 2.008265 eta: 14:12:42 batch_cost: 1.1850 data_cost: 0.0280 ips: 47.2562 images/s [03/18 18:11:39] ppdet.engine INFO: Epoch: [194] [360/523] learning_rate: 0.077113 loss_vfl: 1.009967 loss_bbox: 0.435368 loss_dfl: 0.419774 loss: 1.871718 eta: 14:12:23 batch_cost: 0.9203 data_cost: 0.0208 ips: 60.8481 images/s [03/18 18:12:01] ppdet.engine INFO: Epoch: [194] [380/523] learning_rate: 0.077063 loss_vfl: 1.022166 loss_bbox: 0.453717 loss_dfl: 0.421495 loss: 1.894351 eta: 14:12:04 batch_cost: 0.8798 data_cost: 0.0075 ips: 63.6483 images/s [03/18 18:12:24] ppdet.engine INFO: Epoch: [194] [400/523] learning_rate: 0.077013 loss_vfl: 1.046830 loss_bbox: 0.466573 loss_dfl: 0.421708 loss: 1.928996 eta: 14:11:46 batch_cost: 0.9284 data_cost: 0.0065 ips: 60.3188 images/s [03/18 18:12:44] ppdet.engine INFO: Epoch: [194] [420/523] learning_rate: 0.076962 loss_vfl: 0.982817 loss_bbox: 0.423987 loss_dfl: 0.399558 loss: 1.798476 eta: 14:11:26 batch_cost: 0.8428 data_cost: 0.0586 ips: 66.4469 images/s [03/18 18:13:02] ppdet.engine INFO: Epoch: [194] [440/523] learning_rate: 0.076912 loss_vfl: 1.026751 loss_bbox: 0.453958 loss_dfl: 0.425577 loss: 1.896600 eta: 14:11:06 batch_cost: 0.7862 data_cost: 0.0030 ips: 71.2245 images/s [03/18 18:13:24] ppdet.engine INFO: Epoch: [194] [460/523] learning_rate: 0.076862 loss_vfl: 1.002823 loss_bbox: 0.447720 loss_dfl: 0.418260 loss: 1.880521 eta: 14:10:47 batch_cost: 0.8682 data_cost: 0.1622 ips: 64.5011 images/s [03/18 18:13:50] ppdet.engine INFO: Epoch: [194] [480/523] learning_rate: 0.076812 loss_vfl: 0.989097 loss_bbox: 0.442278 loss_dfl: 0.404388 loss: 1.813621 eta: 14:10:30 batch_cost: 1.1086 data_cost: 0.3622 ips: 50.5137 images/s [03/18 18:14:13] ppdet.engine INFO: Epoch: [194] [500/523] learning_rate: 0.076762 loss_vfl: 1.033633 loss_bbox: 0.482006 loss_dfl: 0.427749 loss: 1.921565 eta: 14:10:12 batch_cost: 0.9762 data_cost: 0.2323 ips: 57.3626 images/s [03/18 18:14:31] ppdet.engine INFO: Epoch: [194] [520/523] learning_rate: 0.076712 loss_vfl: 0.987058 loss_bbox: 0.439789 loss_dfl: 0.421630 loss: 1.864132 eta: 14:09:52 batch_cost: 0.7504 data_cost: 0.0105 ips: 74.6238 images/s [03/18 18:14:45] ppdet.engine INFO: Epoch: [195] [ 0/523] learning_rate: 0.076704 loss_vfl: 1.026603 loss_bbox: 0.457139 loss_dfl: 0.420301 loss: 1.883972 eta: 14:09:54 batch_cost: 1.2105 data_cost: 0.4532 ips: 46.2623 images/s [03/18 18:15:07] ppdet.engine INFO: Epoch: [195] [ 20/523] learning_rate: 0.076654 loss_vfl: 1.020492 loss_bbox: 0.441930 loss_dfl: 0.419487 loss: 1.884587 eta: 14:09:33 batch_cost: 0.7152 data_cost: 0.0029 ips: 78.2945 images/s [03/18 18:15:30] ppdet.engine INFO: Epoch: [195] [ 40/523] learning_rate: 0.076604 loss_vfl: 1.022227 loss_bbox: 0.459828 loss_dfl: 0.425055 loss: 1.891491 eta: 14:09:15 batch_cost: 0.9282 data_cost: 0.0568 ips: 60.3294 images/s [03/18 18:15:56] ppdet.engine INFO: Epoch: [195] [ 60/523] learning_rate: 0.076554 loss_vfl: 0.976716 loss_bbox: 0.432491 loss_dfl: 0.392634 loss: 1.802977 eta: 14:08:58 batch_cost: 1.1290 data_cost: 0.2790 ips: 49.6017 images/s [03/18 18:16:17] ppdet.engine INFO: Epoch: [195] [ 80/523] learning_rate: 0.076504 loss_vfl: 0.987716 loss_bbox: 0.452681 loss_dfl: 0.411038 loss: 1.833178 eta: 14:08:39 batch_cost: 0.8987 data_cost: 0.0061 ips: 62.3145 images/s [03/18 18:16:42] ppdet.engine INFO: Epoch: [195] [100/523] learning_rate: 0.076454 loss_vfl: 1.006622 loss_bbox: 0.445847 loss_dfl: 0.420719 loss: 1.867487 eta: 14:08:22 batch_cost: 1.0146 data_cost: 0.1262 ips: 55.1943 images/s [03/18 18:17:02] ppdet.engine INFO: Epoch: [195] [120/523] learning_rate: 0.076404 loss_vfl: 1.126740 loss_bbox: 0.504672 loss_dfl: 0.472074 loss: 2.095103 eta: 14:08:02 batch_cost: 0.7773 data_cost: 0.1503 ips: 72.0431 images/s [03/18 18:17:20] ppdet.engine INFO: Epoch: [195] [140/523] learning_rate: 0.076354 loss_vfl: 1.034716 loss_bbox: 0.468184 loss_dfl: 0.434435 loss: 1.927619 eta: 14:07:41 batch_cost: 0.7622 data_cost: 0.0016 ips: 73.4717 images/s [03/18 18:17:42] ppdet.engine INFO: Epoch: [195] [160/523] learning_rate: 0.076304 loss_vfl: 1.007630 loss_bbox: 0.439747 loss_dfl: 0.411973 loss: 1.851250 eta: 14:07:22 batch_cost: 0.8813 data_cost: 0.0786 ips: 63.5422 images/s [03/18 18:18:05] ppdet.engine INFO: Epoch: [195] [180/523] learning_rate: 0.076254 loss_vfl: 0.985669 loss_bbox: 0.443146 loss_dfl: 0.420545 loss: 1.858857 eta: 14:07:03 batch_cost: 0.9092 data_cost: 0.0763 ips: 61.5919 images/s [03/18 18:18:28] ppdet.engine INFO: Epoch: [195] [200/523] learning_rate: 0.076204 loss_vfl: 1.034479 loss_bbox: 0.468930 loss_dfl: 0.440738 loss: 1.946530 eta: 14:06:46 batch_cost: 1.0147 data_cost: 0.0551 ips: 55.1872 images/s [03/18 18:18:53] ppdet.engine INFO: Epoch: [195] [220/523] learning_rate: 0.076154 loss_vfl: 1.019225 loss_bbox: 0.448055 loss_dfl: 0.425731 loss: 1.891017 eta: 14:06:29 batch_cost: 1.0957 data_cost: 0.1743 ips: 51.1072 images/s [03/18 18:19:18] ppdet.engine INFO: Epoch: [195] [240/523] learning_rate: 0.076104 loss_vfl: 1.035950 loss_bbox: 0.473298 loss_dfl: 0.443358 loss: 1.954842 eta: 14:06:11 batch_cost: 1.0341 data_cost: 0.1977 ips: 54.1539 images/s [03/18 18:19:40] ppdet.engine INFO: Epoch: [195] [260/523] learning_rate: 0.076054 loss_vfl: 1.004991 loss_bbox: 0.432847 loss_dfl: 0.406651 loss: 1.844103 eta: 14:05:53 batch_cost: 0.9744 data_cost: 0.0067 ips: 57.4728 images/s [03/18 18:20:03] ppdet.engine INFO: Epoch: [195] [280/523] learning_rate: 0.076004 loss_vfl: 1.030103 loss_bbox: 0.447903 loss_dfl: 0.423718 loss: 1.887584 eta: 14:05:34 batch_cost: 0.8565 data_cost: 0.0052 ips: 65.3796 images/s [03/18 18:20:27] ppdet.engine INFO: Epoch: [195] [300/523] learning_rate: 0.075954 loss_vfl: 1.010346 loss_bbox: 0.431116 loss_dfl: 0.415830 loss: 1.826977 eta: 14:05:16 batch_cost: 0.9872 data_cost: 0.2344 ips: 56.7256 images/s [03/18 18:20:50] ppdet.engine INFO: Epoch: [195] [320/523] learning_rate: 0.075904 loss_vfl: 1.044086 loss_bbox: 0.469953 loss_dfl: 0.424011 loss: 1.937918 eta: 14:04:58 batch_cost: 0.9382 data_cost: 0.0074 ips: 59.6871 images/s [03/18 18:21:14] ppdet.engine INFO: Epoch: [195] [340/523] learning_rate: 0.075854 loss_vfl: 1.014182 loss_bbox: 0.433505 loss_dfl: 0.406322 loss: 1.844699 eta: 14:04:40 batch_cost: 1.0612 data_cost: 0.0065 ips: 52.7719 images/s [03/18 18:21:32] ppdet.engine INFO: Epoch: [195] [360/523] learning_rate: 0.075804 loss_vfl: 1.000933 loss_bbox: 0.422192 loss_dfl: 0.407581 loss: 1.842446 eta: 14:04:20 batch_cost: 0.7616 data_cost: 0.0167 ips: 73.5259 images/s [03/18 18:21:50] ppdet.engine INFO: Epoch: [195] [380/523] learning_rate: 0.075754 loss_vfl: 1.063229 loss_bbox: 0.488583 loss_dfl: 0.445322 loss: 1.997402 eta: 14:04:00 batch_cost: 0.7791 data_cost: 0.0015 ips: 71.8789 images/s [03/18 18:22:12] ppdet.engine INFO: Epoch: [195] [400/523] learning_rate: 0.075704 loss_vfl: 1.040930 loss_bbox: 0.448411 loss_dfl: 0.428413 loss: 1.911047 eta: 14:03:42 batch_cost: 0.9856 data_cost: 0.0071 ips: 56.8183 images/s [03/18 18:22:33] ppdet.engine INFO: Epoch: [195] [420/523] learning_rate: 0.075654 loss_vfl: 1.036704 loss_bbox: 0.445121 loss_dfl: 0.417723 loss: 1.902390 eta: 14:03:23 batch_cost: 0.8861 data_cost: 0.0339 ips: 63.2014 images/s [03/18 18:22:58] ppdet.engine INFO: Epoch: [195] [440/523] learning_rate: 0.075604 loss_vfl: 1.056907 loss_bbox: 0.461693 loss_dfl: 0.426294 loss: 1.933233 eta: 14:03:06 batch_cost: 1.0791 data_cost: 0.0049 ips: 51.8935 images/s [03/18 18:23:20] ppdet.engine INFO: Epoch: [195] [460/523] learning_rate: 0.075555 loss_vfl: 1.027186 loss_bbox: 0.442938 loss_dfl: 0.417356 loss: 1.893062 eta: 14:02:47 batch_cost: 0.9162 data_cost: 0.0064 ips: 61.1212 images/s [03/18 18:23:42] ppdet.engine INFO: Epoch: [195] [480/523] learning_rate: 0.075505 loss_vfl: 1.061474 loss_bbox: 0.459556 loss_dfl: 0.432544 loss: 1.963257 eta: 14:02:29 batch_cost: 0.9558 data_cost: 0.0150 ips: 58.5880 images/s [03/18 18:24:08] ppdet.engine INFO: Epoch: [195] [500/523] learning_rate: 0.075455 loss_vfl: 1.038295 loss_bbox: 0.472337 loss_dfl: 0.432645 loss: 1.955640 eta: 14:02:12 batch_cost: 1.0545 data_cost: 0.0095 ips: 53.1063 images/s [03/18 18:24:26] ppdet.engine INFO: Epoch: [195] [520/523] learning_rate: 0.075405 loss_vfl: 1.031749 loss_bbox: 0.451875 loss_dfl: 0.423134 loss: 1.899380 eta: 14:01:52 batch_cost: 0.7877 data_cost: 0.0039 ips: 71.0898 images/s [03/18 18:24:40] ppdet.engine INFO: Epoch: [196] [ 0/523] learning_rate: 0.075398 loss_vfl: 1.039339 loss_bbox: 0.446863 loss_dfl: 0.423134 loss: 1.930696 eta: 14:01:54 batch_cost: 1.2435 data_cost: 0.4376 ips: 45.0324 images/s [03/18 18:25:03] ppdet.engine INFO: Epoch: [196] [ 20/523] learning_rate: 0.075348 loss_vfl: 1.033123 loss_bbox: 0.451197 loss_dfl: 0.428872 loss: 1.916140 eta: 14:01:37 batch_cost: 1.0314 data_cost: 0.0054 ips: 54.2965 images/s [03/18 18:25:25] ppdet.engine INFO: Epoch: [196] [ 40/523] learning_rate: 0.075298 loss_vfl: 1.022275 loss_bbox: 0.455576 loss_dfl: 0.432186 loss: 1.923641 eta: 14:01:17 batch_cost: 0.8518 data_cost: 0.0115 ips: 65.7404 images/s [03/18 18:25:50] ppdet.engine INFO: Epoch: [196] [ 60/523] learning_rate: 0.075248 loss_vfl: 0.968852 loss_bbox: 0.416352 loss_dfl: 0.404184 loss: 1.790131 eta: 14:01:00 batch_cost: 1.0023 data_cost: 0.1856 ips: 55.8689 images/s [03/18 18:26:08] ppdet.engine INFO: Epoch: [196] [ 80/523] learning_rate: 0.075198 loss_vfl: 1.084515 loss_bbox: 0.485729 loss_dfl: 0.453530 loss: 2.025339 eta: 14:00:40 batch_cost: 0.8067 data_cost: 0.1130 ips: 69.4188 images/s [03/18 18:26:27] ppdet.engine INFO: Epoch: [196] [100/523] learning_rate: 0.075149 loss_vfl: 1.028113 loss_bbox: 0.431113 loss_dfl: 0.426944 loss: 1.853625 eta: 14:00:20 batch_cost: 0.8027 data_cost: 0.0099 ips: 69.7658 images/s [03/18 18:26:51] ppdet.engine INFO: Epoch: [196] [120/523] learning_rate: 0.075099 loss_vfl: 1.007969 loss_bbox: 0.427266 loss_dfl: 0.412815 loss: 1.829551 eta: 14:00:02 batch_cost: 0.9589 data_cost: 0.0052 ips: 58.3986 images/s [03/18 18:27:11] ppdet.engine INFO: Epoch: [196] [140/523] learning_rate: 0.075049 loss_vfl: 1.042003 loss_bbox: 0.452558 loss_dfl: 0.436375 loss: 1.907537 eta: 13:59:41 batch_cost: 0.7856 data_cost: 0.0109 ips: 71.2824 images/s [03/18 18:27:36] ppdet.engine INFO: Epoch: [196] [160/523] learning_rate: 0.074999 loss_vfl: 1.052530 loss_bbox: 0.464087 loss_dfl: 0.450741 loss: 1.993792 eta: 13:59:25 batch_cost: 1.1047 data_cost: 0.0073 ips: 50.6922 images/s [03/18 18:27:59] ppdet.engine INFO: Epoch: [196] [180/523] learning_rate: 0.074949 loss_vfl: 1.027677 loss_bbox: 0.454351 loss_dfl: 0.432963 loss: 1.922712 eta: 13:59:07 batch_cost: 1.0258 data_cost: 0.0058 ips: 54.5914 images/s [03/18 18:28:21] ppdet.engine INFO: Epoch: [196] [200/523] learning_rate: 0.074900 loss_vfl: 1.043805 loss_bbox: 0.462259 loss_dfl: 0.436830 loss: 1.922608 eta: 13:58:49 batch_cost: 0.9596 data_cost: 0.0090 ips: 58.3597 images/s [03/18 18:28:44] ppdet.engine INFO: Epoch: [196] [220/523] learning_rate: 0.074850 loss_vfl: 1.056205 loss_bbox: 0.468582 loss_dfl: 0.424968 loss: 1.961961 eta: 13:58:30 batch_cost: 0.9153 data_cost: 0.0037 ips: 61.1826 images/s [03/18 18:29:08] ppdet.engine INFO: Epoch: [196] [240/523] learning_rate: 0.074800 loss_vfl: 1.005795 loss_bbox: 0.450988 loss_dfl: 0.427206 loss: 1.877324 eta: 13:58:13 batch_cost: 1.0224 data_cost: 0.0046 ips: 54.7736 images/s [03/18 18:29:28] ppdet.engine INFO: Epoch: [196] [260/523] learning_rate: 0.074751 loss_vfl: 1.030472 loss_bbox: 0.468715 loss_dfl: 0.432757 loss: 1.929619 eta: 13:57:54 batch_cost: 0.8964 data_cost: 0.0067 ips: 62.4727 images/s [03/18 18:29:52] ppdet.engine INFO: Epoch: [196] [280/523] learning_rate: 0.074701 loss_vfl: 1.013883 loss_bbox: 0.445863 loss_dfl: 0.426895 loss: 1.895686 eta: 13:57:37 batch_cost: 1.0843 data_cost: 0.0045 ips: 51.6479 images/s [03/18 18:30:14] ppdet.engine INFO: Epoch: [196] [300/523] learning_rate: 0.074651 loss_vfl: 1.033471 loss_bbox: 0.477806 loss_dfl: 0.430336 loss: 1.933400 eta: 13:57:17 batch_cost: 0.8244 data_cost: 0.0097 ips: 67.9291 images/s [03/18 18:30:35] ppdet.engine INFO: Epoch: [196] [320/523] learning_rate: 0.074602 loss_vfl: 1.037943 loss_bbox: 0.465572 loss_dfl: 0.443540 loss: 1.955673 eta: 13:56:58 batch_cost: 0.8858 data_cost: 0.1215 ips: 63.2230 images/s [03/18 18:30:51] ppdet.engine INFO: Epoch: [196] [340/523] learning_rate: 0.074552 loss_vfl: 1.017396 loss_bbox: 0.456197 loss_dfl: 0.429703 loss: 1.901455 eta: 13:56:37 batch_cost: 0.6682 data_cost: 0.0050 ips: 83.8063 images/s [03/18 18:31:12] ppdet.engine INFO: Epoch: [196] [360/523] learning_rate: 0.074502 loss_vfl: 1.075169 loss_bbox: 0.501718 loss_dfl: 0.453331 loss: 2.026167 eta: 13:56:18 batch_cost: 0.9516 data_cost: 0.0023 ips: 58.8457 images/s [03/18 18:31:35] ppdet.engine INFO: Epoch: [196] [380/523] learning_rate: 0.074453 loss_vfl: 1.057173 loss_bbox: 0.479669 loss_dfl: 0.428770 loss: 1.956066 eta: 13:56:00 batch_cost: 0.8963 data_cost: 0.1014 ips: 62.4775 images/s [03/18 18:31:59] ppdet.engine INFO: Epoch: [196] [400/523] learning_rate: 0.074403 loss_vfl: 0.967358 loss_bbox: 0.414755 loss_dfl: 0.399230 loss: 1.809667 eta: 13:55:41 batch_cost: 0.9034 data_cost: 0.0037 ips: 61.9890 images/s [03/18 18:32:22] ppdet.engine INFO: Epoch: [196] [420/523] learning_rate: 0.074353 loss_vfl: 1.006743 loss_bbox: 0.450127 loss_dfl: 0.412908 loss: 1.866810 eta: 13:55:22 batch_cost: 0.8945 data_cost: 0.0011 ips: 62.6051 images/s [03/18 18:32:41] ppdet.engine INFO: Epoch: [196] [440/523] learning_rate: 0.074304 loss_vfl: 0.967787 loss_bbox: 0.413619 loss_dfl: 0.405930 loss: 1.812096 eta: 13:55:01 batch_cost: 0.7653 data_cost: 0.0056 ips: 73.1695 images/s [03/18 18:33:04] ppdet.engine INFO: Epoch: [196] [460/523] learning_rate: 0.074254 loss_vfl: 1.017188 loss_bbox: 0.434564 loss_dfl: 0.418006 loss: 1.858615 eta: 13:54:43 batch_cost: 0.9790 data_cost: 0.0127 ips: 57.2033 images/s [03/18 18:33:27] ppdet.engine INFO: Epoch: [196] [480/523] learning_rate: 0.074205 loss_vfl: 1.066778 loss_bbox: 0.475429 loss_dfl: 0.445679 loss: 1.983116 eta: 13:54:26 batch_cost: 1.0395 data_cost: 0.2780 ips: 53.8732 images/s [03/18 18:33:51] ppdet.engine INFO: Epoch: [196] [500/523] learning_rate: 0.074155 loss_vfl: 1.042458 loss_bbox: 0.444341 loss_dfl: 0.424027 loss: 1.919922 eta: 13:54:09 batch_cost: 1.1147 data_cost: 0.2726 ips: 50.2368 images/s [03/18 18:34:10] ppdet.engine INFO: Epoch: [196] [520/523] learning_rate: 0.074105 loss_vfl: 0.980100 loss_bbox: 0.437426 loss_dfl: 0.416849 loss: 1.837791 eta: 13:53:50 batch_cost: 0.8314 data_cost: 0.2440 ips: 67.3551 images/s [03/18 18:34:25] ppdet.engine INFO: Epoch: [197] [ 0/523] learning_rate: 0.074098 loss_vfl: 0.997513 loss_bbox: 0.453091 loss_dfl: 0.419723 loss: 1.849042 eta: 13:53:53 batch_cost: 1.4225 data_cost: 0.7891 ips: 39.3669 images/s [03/18 18:34:46] ppdet.engine INFO: Epoch: [197] [ 20/523] learning_rate: 0.074048 loss_vfl: 1.067109 loss_bbox: 0.465181 loss_dfl: 0.435593 loss: 1.965826 eta: 13:53:33 batch_cost: 0.8731 data_cost: 0.0017 ips: 64.1415 images/s [03/18 18:35:07] ppdet.engine INFO: Epoch: [197] [ 40/523] learning_rate: 0.073999 loss_vfl: 1.062329 loss_bbox: 0.452427 loss_dfl: 0.434571 loss: 1.948858 eta: 13:53:15 batch_cost: 0.9012 data_cost: 0.0030 ips: 62.1391 images/s [03/18 18:35:26] ppdet.engine INFO: Epoch: [197] [ 60/523] learning_rate: 0.073949 loss_vfl: 1.040108 loss_bbox: 0.469561 loss_dfl: 0.446000 loss: 1.959765 eta: 13:52:55 batch_cost: 0.8028 data_cost: 0.0946 ips: 69.7564 images/s [03/18 18:35:48] ppdet.engine INFO: Epoch: [197] [ 80/523] learning_rate: 0.073900 loss_vfl: 1.023458 loss_bbox: 0.436211 loss_dfl: 0.422153 loss: 1.894564 eta: 13:52:36 batch_cost: 0.9385 data_cost: 0.1332 ips: 59.6689 images/s [03/18 18:36:11] ppdet.engine INFO: Epoch: [197] [100/523] learning_rate: 0.073850 loss_vfl: 1.066639 loss_bbox: 0.453612 loss_dfl: 0.427276 loss: 1.935695 eta: 13:52:17 batch_cost: 0.8934 data_cost: 0.1640 ips: 62.6794 images/s [03/18 18:36:35] ppdet.engine INFO: Epoch: [197] [120/523] learning_rate: 0.073801 loss_vfl: 1.027966 loss_bbox: 0.448422 loss_dfl: 0.433657 loss: 1.933864 eta: 13:51:59 batch_cost: 0.9942 data_cost: 0.0751 ips: 56.3281 images/s [03/18 18:36:57] ppdet.engine INFO: Epoch: [197] [140/523] learning_rate: 0.073751 loss_vfl: 0.986793 loss_bbox: 0.426443 loss_dfl: 0.408052 loss: 1.815799 eta: 13:51:41 batch_cost: 0.9128 data_cost: 0.0757 ips: 61.3502 images/s [03/18 18:37:20] ppdet.engine INFO: Epoch: [197] [160/523] learning_rate: 0.073702 loss_vfl: 0.972664 loss_bbox: 0.428316 loss_dfl: 0.409019 loss: 1.807461 eta: 13:51:22 batch_cost: 0.9523 data_cost: 0.0203 ips: 58.8065 images/s [03/18 18:37:41] ppdet.engine INFO: Epoch: [197] [180/523] learning_rate: 0.073652 loss_vfl: 0.968549 loss_bbox: 0.419651 loss_dfl: 0.407102 loss: 1.840456 eta: 13:51:03 batch_cost: 0.8288 data_cost: 0.1598 ips: 67.5714 images/s [03/18 18:38:05] ppdet.engine INFO: Epoch: [197] [200/523] learning_rate: 0.073603 loss_vfl: 1.055489 loss_bbox: 0.465721 loss_dfl: 0.443214 loss: 1.941465 eta: 13:50:44 batch_cost: 0.9610 data_cost: 0.1629 ips: 58.2706 images/s [03/18 18:38:30] ppdet.engine INFO: Epoch: [197] [220/523] learning_rate: 0.073553 loss_vfl: 1.049341 loss_bbox: 0.468200 loss_dfl: 0.433779 loss: 1.948400 eta: 13:50:27 batch_cost: 1.0545 data_cost: 0.1882 ips: 53.1060 images/s [03/18 18:38:51] ppdet.engine INFO: Epoch: [197] [240/523] learning_rate: 0.073504 loss_vfl: 1.007579 loss_bbox: 0.418383 loss_dfl: 0.403918 loss: 1.824667 eta: 13:50:08 batch_cost: 0.8620 data_cost: 0.0029 ips: 64.9670 images/s [03/18 18:39:12] ppdet.engine INFO: Epoch: [197] [260/523] learning_rate: 0.073455 loss_vfl: 1.023830 loss_bbox: 0.447281 loss_dfl: 0.418889 loss: 1.894853 eta: 13:49:49 batch_cost: 0.9211 data_cost: 0.1606 ips: 60.7983 images/s [03/18 18:39:33] ppdet.engine INFO: Epoch: [197] [280/523] learning_rate: 0.073405 loss_vfl: 1.059370 loss_bbox: 0.479837 loss_dfl: 0.453724 loss: 2.018955 eta: 13:49:30 batch_cost: 0.8562 data_cost: 0.0927 ips: 65.4042 images/s [03/18 18:39:54] ppdet.engine INFO: Epoch: [197] [300/523] learning_rate: 0.073356 loss_vfl: 1.056098 loss_bbox: 0.451404 loss_dfl: 0.420137 loss: 1.929886 eta: 13:49:11 batch_cost: 0.9145 data_cost: 0.1832 ips: 61.2358 images/s [03/18 18:40:13] ppdet.engine INFO: Epoch: [197] [320/523] learning_rate: 0.073306 loss_vfl: 1.043495 loss_bbox: 0.465262 loss_dfl: 0.433708 loss: 1.972760 eta: 13:48:51 batch_cost: 0.7437 data_cost: 0.0167 ips: 75.3008 images/s [03/18 18:40:36] ppdet.engine INFO: Epoch: [197] [340/523] learning_rate: 0.073257 loss_vfl: 1.060585 loss_bbox: 0.475560 loss_dfl: 0.440055 loss: 1.977832 eta: 13:48:33 batch_cost: 1.0412 data_cost: 0.1540 ips: 53.7826 images/s [03/18 18:40:59] ppdet.engine INFO: Epoch: [197] [360/523] learning_rate: 0.073208 loss_vfl: 1.110570 loss_bbox: 0.482247 loss_dfl: 0.441499 loss: 2.035698 eta: 13:48:15 batch_cost: 0.9631 data_cost: 0.0250 ips: 58.1441 images/s [03/18 18:41:21] ppdet.engine INFO: Epoch: [197] [380/523] learning_rate: 0.073158 loss_vfl: 1.072936 loss_bbox: 0.475243 loss_dfl: 0.453971 loss: 2.025734 eta: 13:47:56 batch_cost: 0.9081 data_cost: 0.0683 ips: 61.6676 images/s [03/18 18:41:44] ppdet.engine INFO: Epoch: [197] [400/523] learning_rate: 0.073109 loss_vfl: 0.990298 loss_bbox: 0.422839 loss_dfl: 0.395613 loss: 1.798136 eta: 13:47:38 batch_cost: 0.9422 data_cost: 0.0825 ips: 59.4341 images/s [03/18 18:42:08] ppdet.engine INFO: Epoch: [197] [420/523] learning_rate: 0.073060 loss_vfl: 1.049815 loss_bbox: 0.461071 loss_dfl: 0.436990 loss: 1.952197 eta: 13:47:20 batch_cost: 0.9831 data_cost: 0.0091 ips: 56.9622 images/s [03/18 18:42:30] ppdet.engine INFO: Epoch: [197] [440/523] learning_rate: 0.073010 loss_vfl: 1.029716 loss_bbox: 0.456019 loss_dfl: 0.427643 loss: 1.923907 eta: 13:47:01 batch_cost: 0.8585 data_cost: 0.1618 ips: 65.2333 images/s [03/18 18:42:52] ppdet.engine INFO: Epoch: [197] [460/523] learning_rate: 0.072961 loss_vfl: 1.020843 loss_bbox: 0.453730 loss_dfl: 0.424717 loss: 1.898175 eta: 13:46:43 batch_cost: 0.9878 data_cost: 0.2458 ips: 56.6911 images/s [03/18 18:43:14] ppdet.engine INFO: Epoch: [197] [480/523] learning_rate: 0.072912 loss_vfl: 1.049780 loss_bbox: 0.453639 loss_dfl: 0.430242 loss: 1.914546 eta: 13:46:24 batch_cost: 0.9064 data_cost: 0.0303 ips: 61.7832 images/s [03/18 18:43:37] ppdet.engine INFO: Epoch: [197] [500/523] learning_rate: 0.072862 loss_vfl: 0.985996 loss_bbox: 0.440853 loss_dfl: 0.408275 loss: 1.813794 eta: 13:46:07 batch_cost: 1.0794 data_cost: 0.2080 ips: 51.8791 images/s [03/18 18:43:55] ppdet.engine INFO: Epoch: [197] [520/523] learning_rate: 0.072813 loss_vfl: 1.074859 loss_bbox: 0.460634 loss_dfl: 0.433801 loss: 1.948852 eta: 13:45:47 batch_cost: 0.7777 data_cost: 0.1139 ips: 72.0116 images/s [03/18 18:44:09] ppdet.engine INFO: Epoch: [198] [ 0/523] learning_rate: 0.072806 loss_vfl: 1.062921 loss_bbox: 0.442041 loss_dfl: 0.424746 loss: 1.924133 eta: 13:45:49 batch_cost: 1.2169 data_cost: 0.4151 ips: 46.0201 images/s [03/18 18:44:29] ppdet.engine INFO: Epoch: [198] [ 20/523] learning_rate: 0.072756 loss_vfl: 1.005752 loss_bbox: 0.438635 loss_dfl: 0.418355 loss: 1.850585 eta: 13:45:29 batch_cost: 0.8551 data_cost: 0.0023 ips: 65.4856 images/s [03/18 18:44:53] ppdet.engine INFO: Epoch: [198] [ 40/523] learning_rate: 0.072707 loss_vfl: 1.036342 loss_bbox: 0.451839 loss_dfl: 0.427404 loss: 1.903907 eta: 13:45:11 batch_cost: 0.9796 data_cost: 0.0073 ips: 57.1651 images/s [03/18 18:45:14] ppdet.engine INFO: Epoch: [198] [ 60/523] learning_rate: 0.072658 loss_vfl: 1.009301 loss_bbox: 0.463213 loss_dfl: 0.413192 loss: 1.891600 eta: 13:44:52 batch_cost: 0.8753 data_cost: 0.0954 ips: 63.9755 images/s [03/18 18:45:39] ppdet.engine INFO: Epoch: [198] [ 80/523] learning_rate: 0.072609 loss_vfl: 1.007834 loss_bbox: 0.451752 loss_dfl: 0.428633 loss: 1.868012 eta: 13:44:35 batch_cost: 1.0510 data_cost: 0.2672 ips: 53.2824 images/s [03/18 18:46:04] ppdet.engine INFO: Epoch: [198] [100/523] learning_rate: 0.072559 loss_vfl: 1.007982 loss_bbox: 0.451045 loss_dfl: 0.414543 loss: 1.859181 eta: 13:44:18 batch_cost: 1.0648 data_cost: 0.1531 ips: 52.5921 images/s [03/18 18:46:28] ppdet.engine INFO: Epoch: [198] [120/523] learning_rate: 0.072510 loss_vfl: 1.018361 loss_bbox: 0.450120 loss_dfl: 0.414963 loss: 1.900981 eta: 13:44:00 batch_cost: 0.9803 data_cost: 0.1239 ips: 57.1252 images/s [03/18 18:46:52] ppdet.engine INFO: Epoch: [198] [140/523] learning_rate: 0.072461 loss_vfl: 1.069863 loss_bbox: 0.443319 loss_dfl: 0.421397 loss: 1.942572 eta: 13:43:41 batch_cost: 0.9590 data_cost: 0.0874 ips: 58.3944 images/s [03/18 18:47:15] ppdet.engine INFO: Epoch: [198] [160/523] learning_rate: 0.072412 loss_vfl: 1.007107 loss_bbox: 0.467526 loss_dfl: 0.433338 loss: 1.895176 eta: 13:43:23 batch_cost: 0.9918 data_cost: 0.1072 ips: 56.4604 images/s [03/18 18:47:38] ppdet.engine INFO: Epoch: [198] [180/523] learning_rate: 0.072363 loss_vfl: 1.014012 loss_bbox: 0.453181 loss_dfl: 0.420660 loss: 1.879956 eta: 13:43:05 batch_cost: 0.9713 data_cost: 0.1107 ips: 57.6572 images/s [03/18 18:48:01] ppdet.engine INFO: Epoch: [198] [200/523] learning_rate: 0.072313 loss_vfl: 1.029392 loss_bbox: 0.437175 loss_dfl: 0.412765 loss: 1.874170 eta: 13:42:47 batch_cost: 1.0100 data_cost: 0.0954 ips: 55.4454 images/s [03/18 18:48:23] ppdet.engine INFO: Epoch: [198] [220/523] learning_rate: 0.072264 loss_vfl: 1.086270 loss_bbox: 0.475565 loss_dfl: 0.449828 loss: 1.987550 eta: 13:42:29 batch_cost: 0.9400 data_cost: 0.1708 ips: 59.5723 images/s [03/18 18:48:43] ppdet.engine INFO: Epoch: [198] [240/523] learning_rate: 0.072215 loss_vfl: 1.015857 loss_bbox: 0.452580 loss_dfl: 0.424285 loss: 1.903428 eta: 13:42:10 batch_cost: 0.8674 data_cost: 0.0032 ips: 64.5642 images/s [03/18 18:49:03] ppdet.engine INFO: Epoch: [198] [260/523] learning_rate: 0.072166 loss_vfl: 1.015255 loss_bbox: 0.446228 loss_dfl: 0.419498 loss: 1.868378 eta: 13:41:50 batch_cost: 0.7774 data_cost: 0.0051 ips: 72.0375 images/s [03/18 18:49:26] ppdet.engine INFO: Epoch: [198] [280/523] learning_rate: 0.072117 loss_vfl: 0.987379 loss_bbox: 0.437096 loss_dfl: 0.412694 loss: 1.832824 eta: 13:41:32 batch_cost: 1.0307 data_cost: 0.0040 ips: 54.3341 images/s [03/18 18:49:49] ppdet.engine INFO: Epoch: [198] [300/523] learning_rate: 0.072068 loss_vfl: 1.080395 loss_bbox: 0.478237 loss_dfl: 0.446704 loss: 1.980976 eta: 13:41:15 batch_cost: 1.0312 data_cost: 0.0040 ips: 54.3035 images/s [03/18 18:50:15] ppdet.engine INFO: Epoch: [198] [320/523] learning_rate: 0.072019 loss_vfl: 1.033789 loss_bbox: 0.461364 loss_dfl: 0.433359 loss: 1.924343 eta: 13:40:58 batch_cost: 1.1197 data_cost: 0.0087 ips: 50.0156 images/s [03/18 18:50:39] ppdet.engine INFO: Epoch: [198] [340/523] learning_rate: 0.071969 loss_vfl: 1.030806 loss_bbox: 0.448251 loss_dfl: 0.426713 loss: 1.908611 eta: 13:40:40 batch_cost: 1.0326 data_cost: 0.0080 ips: 54.2333 images/s [03/18 18:51:03] ppdet.engine INFO: Epoch: [198] [360/523] learning_rate: 0.071920 loss_vfl: 1.012928 loss_bbox: 0.438911 loss_dfl: 0.419395 loss: 1.881015 eta: 13:40:22 batch_cost: 0.9553 data_cost: 0.0094 ips: 58.6227 images/s [03/18 18:51:28] ppdet.engine INFO: Epoch: [198] [380/523] learning_rate: 0.071871 loss_vfl: 1.022717 loss_bbox: 0.444630 loss_dfl: 0.419895 loss: 1.888432 eta: 13:40:04 batch_cost: 0.9735 data_cost: 0.0021 ips: 57.5219 images/s [03/18 18:51:51] ppdet.engine INFO: Epoch: [198] [400/523] learning_rate: 0.071822 loss_vfl: 1.048630 loss_bbox: 0.472005 loss_dfl: 0.436098 loss: 1.959424 eta: 13:39:46 batch_cost: 0.9838 data_cost: 0.0069 ips: 56.9197 images/s [03/18 18:52:15] ppdet.engine INFO: Epoch: [198] [420/523] learning_rate: 0.071773 loss_vfl: 0.969184 loss_bbox: 0.413687 loss_dfl: 0.394834 loss: 1.763045 eta: 13:39:29 batch_cost: 1.0458 data_cost: 0.0056 ips: 53.5456 images/s [03/18 18:52:38] ppdet.engine INFO: Epoch: [198] [440/523] learning_rate: 0.071724 loss_vfl: 1.073906 loss_bbox: 0.464914 loss_dfl: 0.436844 loss: 1.962313 eta: 13:39:10 batch_cost: 0.9512 data_cost: 0.0135 ips: 58.8734 images/s [03/18 18:52:57] ppdet.engine INFO: Epoch: [198] [460/523] learning_rate: 0.071675 loss_vfl: 1.084842 loss_bbox: 0.472488 loss_dfl: 0.444987 loss: 1.995997 eta: 13:38:50 batch_cost: 0.7417 data_cost: 0.0031 ips: 75.5041 images/s [03/18 18:53:15] ppdet.engine INFO: Epoch: [198] [480/523] learning_rate: 0.071626 loss_vfl: 1.007795 loss_bbox: 0.442261 loss_dfl: 0.430469 loss: 1.873963 eta: 13:38:29 batch_cost: 0.7264 data_cost: 0.0025 ips: 77.0936 images/s [03/18 18:53:38] ppdet.engine INFO: Epoch: [198] [500/523] learning_rate: 0.071577 loss_vfl: 1.024014 loss_bbox: 0.455930 loss_dfl: 0.430150 loss: 1.886980 eta: 13:38:11 batch_cost: 1.0060 data_cost: 0.0038 ips: 55.6663 images/s [03/18 18:53:57] ppdet.engine INFO: Epoch: [198] [520/523] learning_rate: 0.071528 loss_vfl: 1.016082 loss_bbox: 0.459146 loss_dfl: 0.431691 loss: 1.894826 eta: 13:37:51 batch_cost: 0.7789 data_cost: 0.0034 ips: 71.8947 images/s [03/18 18:54:10] ppdet.engine INFO: Epoch: [199] [ 0/523] learning_rate: 0.071521 loss_vfl: 1.016082 loss_bbox: 0.451747 loss_dfl: 0.428151 loss: 1.894826 eta: 13:37:53 batch_cost: 1.1641 data_cost: 0.4656 ips: 48.1078 images/s [03/18 18:54:33] ppdet.engine INFO: Epoch: [199] [ 20/523] learning_rate: 0.071472 loss_vfl: 1.017514 loss_bbox: 0.431553 loss_dfl: 0.416402 loss: 1.855479 eta: 13:37:35 batch_cost: 0.9689 data_cost: 0.0045 ips: 57.7987 images/s [03/18 18:54:55] ppdet.engine INFO: Epoch: [199] [ 40/523] learning_rate: 0.071423 loss_vfl: 1.056696 loss_bbox: 0.452929 loss_dfl: 0.433836 loss: 1.969870 eta: 13:37:16 batch_cost: 0.9289 data_cost: 0.1183 ips: 60.2891 images/s [03/18 18:55:19] ppdet.engine INFO: Epoch: [199] [ 60/523] learning_rate: 0.071374 loss_vfl: 1.026425 loss_bbox: 0.450438 loss_dfl: 0.420136 loss: 1.919425 eta: 13:37:00 batch_cost: 1.1199 data_cost: 0.0009 ips: 50.0059 images/s [03/18 18:55:42] ppdet.engine INFO: Epoch: [199] [ 80/523] learning_rate: 0.071325 loss_vfl: 1.044991 loss_bbox: 0.470438 loss_dfl: 0.436358 loss: 1.942345 eta: 13:36:43 batch_cost: 1.0780 data_cost: 0.1021 ips: 51.9503 images/s [03/18 18:56:07] ppdet.engine INFO: Epoch: [199] [100/523] learning_rate: 0.071276 loss_vfl: 0.984097 loss_bbox: 0.427338 loss_dfl: 0.411463 loss: 1.822898 eta: 13:36:26 batch_cost: 1.1587 data_cost: 0.2360 ips: 48.3295 images/s [03/18 18:56:30] ppdet.engine INFO: Epoch: [199] [120/523] learning_rate: 0.071227 loss_vfl: 1.041342 loss_bbox: 0.451569 loss_dfl: 0.417700 loss: 1.924819 eta: 13:36:09 batch_cost: 1.0863 data_cost: 0.3473 ips: 51.5514 images/s [03/18 18:56:53] ppdet.engine INFO: Epoch: [199] [140/523] learning_rate: 0.071178 loss_vfl: 1.018131 loss_bbox: 0.435132 loss_dfl: 0.410069 loss: 1.865767 eta: 13:35:52 batch_cost: 1.0884 data_cost: 0.4607 ips: 51.4512 images/s [03/18 18:57:16] ppdet.engine INFO: Epoch: [199] [160/523] learning_rate: 0.071129 loss_vfl: 1.060780 loss_bbox: 0.479007 loss_dfl: 0.446902 loss: 1.964792 eta: 13:35:35 batch_cost: 1.0653 data_cost: 0.4056 ips: 52.5686 images/s [03/18 18:57:34] ppdet.engine INFO: Epoch: [199] [180/523] learning_rate: 0.071080 loss_vfl: 0.988521 loss_bbox: 0.429544 loss_dfl: 0.409613 loss: 1.812520 eta: 13:35:15 batch_cost: 0.8263 data_cost: 0.1827 ips: 67.7698 images/s [03/18 18:57:54] ppdet.engine INFO: Epoch: [199] [200/523] learning_rate: 0.071031 loss_vfl: 1.031474 loss_bbox: 0.459604 loss_dfl: 0.426736 loss: 1.885794 eta: 13:34:57 batch_cost: 0.9287 data_cost: 0.1129 ips: 60.3006 images/s [03/18 18:58:18] ppdet.engine INFO: Epoch: [199] [220/523] learning_rate: 0.070982 loss_vfl: 1.048337 loss_bbox: 0.467096 loss_dfl: 0.436924 loss: 1.969662 eta: 13:34:40 batch_cost: 1.1224 data_cost: 0.3668 ips: 49.8942 images/s [03/18 18:58:40] ppdet.engine INFO: Epoch: [199] [240/523] learning_rate: 0.070934 loss_vfl: 1.009007 loss_bbox: 0.430098 loss_dfl: 0.416745 loss: 1.850440 eta: 13:34:22 batch_cost: 0.9797 data_cost: 0.1154 ips: 57.1589 images/s [03/18 18:59:02] ppdet.engine INFO: Epoch: [199] [260/523] learning_rate: 0.070885 loss_vfl: 0.989918 loss_bbox: 0.416544 loss_dfl: 0.401786 loss: 1.788010 eta: 13:34:04 batch_cost: 1.0196 data_cost: 0.3739 ips: 54.9244 images/s [03/18 18:59:27] ppdet.engine INFO: Epoch: [199] [280/523] learning_rate: 0.070836 loss_vfl: 1.028095 loss_bbox: 0.445661 loss_dfl: 0.427350 loss: 1.914273 eta: 13:33:48 batch_cost: 1.1356 data_cost: 0.4034 ips: 49.3134 images/s [03/18 18:59:49] ppdet.engine INFO: Epoch: [199] [300/523] learning_rate: 0.070787 loss_vfl: 1.053457 loss_bbox: 0.474312 loss_dfl: 0.445994 loss: 1.962204 eta: 13:33:30 batch_cost: 0.9874 data_cost: 0.2532 ips: 56.7124 images/s [03/18 19:00:14] ppdet.engine INFO: Epoch: [199] [320/523] learning_rate: 0.070738 loss_vfl: 0.989553 loss_bbox: 0.424706 loss_dfl: 0.409268 loss: 1.821297 eta: 13:33:14 batch_cost: 1.1457 data_cost: 0.0994 ips: 48.8771 images/s [03/18 19:00:34] ppdet.engine INFO: Epoch: [199] [340/523] learning_rate: 0.070689 loss_vfl: 1.013038 loss_bbox: 0.444384 loss_dfl: 0.418441 loss: 1.863440 eta: 13:32:55 batch_cost: 0.8956 data_cost: 0.0462 ips: 62.5273 images/s [03/18 19:00:58] ppdet.engine INFO: Epoch: [199] [360/523] learning_rate: 0.070641 loss_vfl: 1.032617 loss_bbox: 0.451745 loss_dfl: 0.423634 loss: 1.924854 eta: 13:32:38 batch_cost: 1.0797 data_cost: 0.2443 ips: 51.8643 images/s [03/18 19:01:21] ppdet.engine INFO: Epoch: [199] [380/523] learning_rate: 0.070592 loss_vfl: 1.066025 loss_bbox: 0.477351 loss_dfl: 0.433361 loss: 1.981251 eta: 13:32:21 batch_cost: 1.0831 data_cost: 0.4108 ips: 51.7031 images/s [03/18 19:01:45] ppdet.engine INFO: Epoch: [199] [400/523] learning_rate: 0.070543 loss_vfl: 1.000882 loss_bbox: 0.454295 loss_dfl: 0.425256 loss: 1.896646 eta: 13:32:03 batch_cost: 1.0771 data_cost: 0.4919 ips: 51.9920 images/s [03/18 19:02:02] ppdet.engine INFO: Epoch: [199] [420/523] learning_rate: 0.070494 loss_vfl: 1.078026 loss_bbox: 0.474793 loss_dfl: 0.451211 loss: 2.017443 eta: 13:31:43 batch_cost: 0.7504 data_cost: 0.0006 ips: 74.6225 images/s [03/18 19:02:23] ppdet.engine INFO: Epoch: [199] [440/523] learning_rate: 0.070446 loss_vfl: 1.033284 loss_bbox: 0.465514 loss_dfl: 0.437897 loss: 1.945317 eta: 13:31:24 batch_cost: 0.9212 data_cost: 0.1250 ips: 60.7919 images/s [03/18 19:02:45] ppdet.engine INFO: Epoch: [199] [460/523] learning_rate: 0.070397 loss_vfl: 1.062651 loss_bbox: 0.464545 loss_dfl: 0.432438 loss: 1.959729 eta: 13:31:07 batch_cost: 1.0362 data_cost: 0.1980 ips: 54.0436 images/s [03/18 19:03:10] ppdet.engine INFO: Epoch: [199] [480/523] learning_rate: 0.070348 loss_vfl: 1.079329 loss_bbox: 0.460893 loss_dfl: 0.429818 loss: 1.999117 eta: 13:30:50 batch_cost: 1.1332 data_cost: 0.3774 ips: 49.4192 images/s [03/18 19:03:32] ppdet.engine INFO: Epoch: [199] [500/523] learning_rate: 0.070299 loss_vfl: 1.070503 loss_bbox: 0.474684 loss_dfl: 0.436732 loss: 1.993164 eta: 13:30:33 batch_cost: 1.0662 data_cost: 0.2050 ips: 52.5206 images/s [03/18 19:03:50] ppdet.engine INFO: Epoch: [199] [520/523] learning_rate: 0.070251 loss_vfl: 1.045890 loss_bbox: 0.469267 loss_dfl: 0.439222 loss: 1.957542 eta: 13:30:13 batch_cost: 0.8162 data_cost: 0.0236 ips: 68.6109 images/s [03/18 19:03:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 19:03:53] ppdet.engine INFO: Eval iter: 0 [03/18 19:04:13] ppdet.engine INFO: Eval iter: 100 [03/18 19:04:23] ppdet.engine INFO: Eval iter: 200 [03/18 19:04:33] ppdet.engine INFO: Eval iter: 300 [03/18 19:04:43] ppdet.engine INFO: Eval iter: 400 [03/18 19:04:53] ppdet.engine INFO: Eval iter: 500 [03/18 19:05:04] ppdet.engine INFO: Eval iter: 600 [03/18 19:05:18] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.59s) creating index... index created! [03/18 19:05:19] 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=83.32s). Accumulating evaluation results... DONE (t=16.38s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.242 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.370 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.258 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.083 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.250 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.392 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.248 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.402 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.429 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.158 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.474 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.678 [03/18 19:07:05] ppdet.engine INFO: Total sample number: 4952, averge FPS: 66.98149722220772 [03/18 19:07:05] ppdet.engine INFO: Best test bbox ap is 0.242. [03/18 19:07:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 19:07:06] ppdet.engine INFO: Epoch: [200] [ 0/523] learning_rate: 0.070243 loss_vfl: 1.057970 loss_bbox: 0.478584 loss_dfl: 0.441396 loss: 1.983648 eta: 13:30:10 batch_cost: 0.7588 data_cost: 0.0003 ips: 73.8034 images/s [03/18 19:07:27] ppdet.engine INFO: Epoch: [200] [ 20/523] learning_rate: 0.070195 loss_vfl: 0.994849 loss_bbox: 0.450924 loss_dfl: 0.417993 loss: 1.867836 eta: 13:29:50 batch_cost: 0.8461 data_cost: 0.0049 ips: 66.1856 images/s [03/18 19:07:50] ppdet.engine INFO: Epoch: [200] [ 40/523] learning_rate: 0.070146 loss_vfl: 0.986426 loss_bbox: 0.428290 loss_dfl: 0.405935 loss: 1.829810 eta: 13:29:32 batch_cost: 0.9376 data_cost: 0.0007 ips: 59.7248 images/s [03/18 19:08:14] ppdet.engine INFO: Epoch: [200] [ 60/523] learning_rate: 0.070097 loss_vfl: 0.977806 loss_bbox: 0.406942 loss_dfl: 0.392251 loss: 1.760975 eta: 13:29:13 batch_cost: 0.9142 data_cost: 0.0102 ips: 61.2575 images/s [03/18 19:08:35] ppdet.engine INFO: Epoch: [200] [ 80/523] learning_rate: 0.070049 loss_vfl: 1.005704 loss_bbox: 0.432160 loss_dfl: 0.412221 loss: 1.854069 eta: 13:28:54 batch_cost: 0.8681 data_cost: 0.0031 ips: 64.5097 images/s [03/18 19:08:58] ppdet.engine INFO: Epoch: [200] [100/523] learning_rate: 0.070000 loss_vfl: 1.029269 loss_bbox: 0.451893 loss_dfl: 0.419310 loss: 1.895624 eta: 13:28:35 batch_cost: 0.9022 data_cost: 0.0009 ips: 62.0710 images/s [03/18 19:09:18] ppdet.engine INFO: Epoch: [200] [120/523] learning_rate: 0.069951 loss_vfl: 1.062994 loss_bbox: 0.459362 loss_dfl: 0.436419 loss: 1.956239 eta: 13:28:15 batch_cost: 0.7978 data_cost: 0.0017 ips: 70.1923 images/s [03/18 19:09:43] ppdet.engine INFO: Epoch: [200] [140/523] learning_rate: 0.069903 loss_vfl: 0.967074 loss_bbox: 0.437276 loss_dfl: 0.413318 loss: 1.831599 eta: 13:27:57 batch_cost: 1.0358 data_cost: 0.2460 ips: 54.0661 images/s [03/18 19:10:05] ppdet.engine INFO: Epoch: [200] [160/523] learning_rate: 0.069854 loss_vfl: 1.057571 loss_bbox: 0.441010 loss_dfl: 0.421570 loss: 1.900146 eta: 13:27:38 batch_cost: 0.8956 data_cost: 0.0059 ips: 62.5262 images/s [03/18 19:10:26] ppdet.engine INFO: Epoch: [200] [180/523] learning_rate: 0.069806 loss_vfl: 1.000745 loss_bbox: 0.454413 loss_dfl: 0.428682 loss: 1.876331 eta: 13:27:18 batch_cost: 0.7532 data_cost: 0.0039 ips: 74.3524 images/s [03/18 19:10:44] ppdet.engine INFO: Epoch: [200] [200/523] learning_rate: 0.069757 loss_vfl: 1.040602 loss_bbox: 0.440085 loss_dfl: 0.429938 loss: 1.928682 eta: 13:26:57 batch_cost: 0.7211 data_cost: 0.0069 ips: 77.6558 images/s [03/18 19:11:01] ppdet.engine INFO: Epoch: [200] [220/523] learning_rate: 0.069708 loss_vfl: 1.060005 loss_bbox: 0.475682 loss_dfl: 0.440701 loss: 1.943888 eta: 13:26:37 batch_cost: 0.7236 data_cost: 0.0020 ips: 77.3880 images/s [03/18 19:11:25] ppdet.engine INFO: Epoch: [200] [240/523] learning_rate: 0.069660 loss_vfl: 1.031129 loss_bbox: 0.450025 loss_dfl: 0.423627 loss: 1.894952 eta: 13:26:19 batch_cost: 0.9891 data_cost: 0.0046 ips: 56.6145 images/s [03/18 19:11:49] ppdet.engine INFO: Epoch: [200] [260/523] learning_rate: 0.069611 loss_vfl: 1.004949 loss_bbox: 0.466307 loss_dfl: 0.418213 loss: 1.894118 eta: 13:26:01 batch_cost: 1.0218 data_cost: 0.0076 ips: 54.8071 images/s [03/18 19:12:09] ppdet.engine INFO: Epoch: [200] [280/523] learning_rate: 0.069563 loss_vfl: 1.072148 loss_bbox: 0.483556 loss_dfl: 0.459926 loss: 2.074875 eta: 13:25:41 batch_cost: 0.8165 data_cost: 0.0115 ips: 68.5845 images/s [03/18 19:12:35] ppdet.engine INFO: Epoch: [200] [300/523] learning_rate: 0.069514 loss_vfl: 1.020714 loss_bbox: 0.456737 loss_dfl: 0.432767 loss: 1.890773 eta: 13:25:25 batch_cost: 1.1070 data_cost: 0.2340 ips: 50.5861 images/s [03/18 19:12:57] ppdet.engine INFO: Epoch: [200] [320/523] learning_rate: 0.069466 loss_vfl: 0.959409 loss_bbox: 0.425488 loss_dfl: 0.413416 loss: 1.811164 eta: 13:25:06 batch_cost: 0.8992 data_cost: 0.1936 ips: 62.2776 images/s [03/18 19:13:21] ppdet.engine INFO: Epoch: [200] [340/523] learning_rate: 0.069417 loss_vfl: 1.044911 loss_bbox: 0.479452 loss_dfl: 0.442743 loss: 1.965441 eta: 13:24:48 batch_cost: 1.0539 data_cost: 0.2302 ips: 53.1378 images/s [03/18 19:13:42] ppdet.engine INFO: Epoch: [200] [360/523] learning_rate: 0.069369 loss_vfl: 1.020280 loss_bbox: 0.444296 loss_dfl: 0.413877 loss: 1.893116 eta: 13:24:30 batch_cost: 0.9221 data_cost: 0.0686 ips: 60.7297 images/s [03/18 19:14:03] ppdet.engine INFO: Epoch: [200] [380/523] learning_rate: 0.069320 loss_vfl: 1.043641 loss_bbox: 0.465267 loss_dfl: 0.433985 loss: 1.945464 eta: 13:24:11 batch_cost: 0.8921 data_cost: 0.1412 ips: 62.7730 images/s [03/18 19:14:27] ppdet.engine INFO: Epoch: [200] [400/523] learning_rate: 0.069272 loss_vfl: 1.072709 loss_bbox: 0.475757 loss_dfl: 0.438945 loss: 1.973460 eta: 13:23:53 batch_cost: 1.0068 data_cost: 0.2092 ips: 55.6215 images/s [03/18 19:14:47] ppdet.engine INFO: Epoch: [200] [420/523] learning_rate: 0.069223 loss_vfl: 0.996164 loss_bbox: 0.444014 loss_dfl: 0.417500 loss: 1.865583 eta: 13:23:34 batch_cost: 0.8576 data_cost: 0.1073 ips: 65.2989 images/s [03/18 19:15:08] ppdet.engine INFO: Epoch: [200] [440/523] learning_rate: 0.069175 loss_vfl: 1.060616 loss_bbox: 0.475227 loss_dfl: 0.438342 loss: 1.964456 eta: 13:23:15 batch_cost: 0.8726 data_cost: 0.1204 ips: 64.1760 images/s [03/18 19:15:26] ppdet.engine INFO: Epoch: [200] [460/523] learning_rate: 0.069126 loss_vfl: 1.017376 loss_bbox: 0.461635 loss_dfl: 0.429556 loss: 1.906117 eta: 13:22:54 batch_cost: 0.7243 data_cost: 0.0031 ips: 77.3143 images/s [03/18 19:15:45] ppdet.engine INFO: Epoch: [200] [480/523] learning_rate: 0.069078 loss_vfl: 1.052401 loss_bbox: 0.454671 loss_dfl: 0.423619 loss: 1.921773 eta: 13:22:34 batch_cost: 0.7688 data_cost: 0.0035 ips: 72.8444 images/s [03/18 19:16:10] ppdet.engine INFO: Epoch: [200] [500/523] learning_rate: 0.069029 loss_vfl: 1.070664 loss_bbox: 0.455432 loss_dfl: 0.429956 loss: 1.958246 eta: 13:22:17 batch_cost: 1.1207 data_cost: 0.3469 ips: 49.9691 images/s [03/18 19:16:28] ppdet.engine INFO: Epoch: [200] [520/523] learning_rate: 0.068981 loss_vfl: 0.992857 loss_bbox: 0.447872 loss_dfl: 0.417483 loss: 1.853091 eta: 13:21:57 batch_cost: 0.7685 data_cost: 0.1596 ips: 72.8670 images/s [03/18 19:16:42] ppdet.engine INFO: Epoch: [201] [ 0/523] learning_rate: 0.068974 loss_vfl: 0.998354 loss_bbox: 0.447872 loss_dfl: 0.417483 loss: 1.857626 eta: 13:21:59 batch_cost: 1.2904 data_cost: 0.5889 ips: 43.3990 images/s [03/18 19:17:02] ppdet.engine INFO: Epoch: [201] [ 20/523] learning_rate: 0.068925 loss_vfl: 1.014413 loss_bbox: 0.448242 loss_dfl: 0.416099 loss: 1.890076 eta: 13:21:39 batch_cost: 0.8263 data_cost: 0.0030 ips: 67.7698 images/s [03/18 19:17:27] ppdet.engine INFO: Epoch: [201] [ 40/523] learning_rate: 0.068877 loss_vfl: 0.981902 loss_bbox: 0.435207 loss_dfl: 0.410989 loss: 1.822028 eta: 13:21:22 batch_cost: 1.0838 data_cost: 0.0060 ips: 51.6710 images/s [03/18 19:17:50] ppdet.engine INFO: Epoch: [201] [ 60/523] learning_rate: 0.068829 loss_vfl: 1.117240 loss_bbox: 0.469963 loss_dfl: 0.458397 loss: 2.069872 eta: 13:21:04 batch_cost: 0.9806 data_cost: 0.0030 ips: 57.1085 images/s [03/18 19:18:12] ppdet.engine INFO: Epoch: [201] [ 80/523] learning_rate: 0.068780 loss_vfl: 1.022982 loss_bbox: 0.440586 loss_dfl: 0.418328 loss: 1.895615 eta: 13:20:46 batch_cost: 0.9700 data_cost: 0.0051 ips: 57.7302 images/s [03/18 19:18:35] ppdet.engine INFO: Epoch: [201] [100/523] learning_rate: 0.068732 loss_vfl: 1.066597 loss_bbox: 0.456314 loss_dfl: 0.445285 loss: 1.997223 eta: 13:20:28 batch_cost: 0.9524 data_cost: 0.0094 ips: 58.7976 images/s [03/18 19:18:57] ppdet.engine INFO: Epoch: [201] [120/523] learning_rate: 0.068683 loss_vfl: 0.996837 loss_bbox: 0.446270 loss_dfl: 0.411185 loss: 1.863491 eta: 13:20:09 batch_cost: 0.8927 data_cost: 0.0046 ips: 62.7284 images/s [03/18 19:19:19] ppdet.engine INFO: Epoch: [201] [140/523] learning_rate: 0.068635 loss_vfl: 1.010396 loss_bbox: 0.479325 loss_dfl: 0.435808 loss: 1.917529 eta: 13:19:51 batch_cost: 0.9694 data_cost: 0.0012 ips: 57.7666 images/s [03/18 19:19:39] ppdet.engine INFO: Epoch: [201] [160/523] learning_rate: 0.068587 loss_vfl: 1.067758 loss_bbox: 0.457159 loss_dfl: 0.435442 loss: 1.964007 eta: 13:19:31 batch_cost: 0.8362 data_cost: 0.0020 ips: 66.9676 images/s [03/18 19:19:56] ppdet.engine INFO: Epoch: [201] [180/523] learning_rate: 0.068538 loss_vfl: 1.063901 loss_bbox: 0.452232 loss_dfl: 0.428477 loss: 1.970350 eta: 13:19:10 batch_cost: 0.6776 data_cost: 0.0109 ips: 82.6505 images/s [03/18 19:20:20] ppdet.engine INFO: Epoch: [201] [200/523] learning_rate: 0.068490 loss_vfl: 1.047235 loss_bbox: 0.464966 loss_dfl: 0.444535 loss: 1.943565 eta: 13:18:52 batch_cost: 0.9569 data_cost: 0.1290 ips: 58.5238 images/s [03/18 19:20:42] ppdet.engine INFO: Epoch: [201] [220/523] learning_rate: 0.068442 loss_vfl: 0.999701 loss_bbox: 0.441907 loss_dfl: 0.424744 loss: 1.860280 eta: 13:18:33 batch_cost: 0.9134 data_cost: 0.0041 ips: 61.3113 images/s [03/18 19:21:02] ppdet.engine INFO: Epoch: [201] [240/523] learning_rate: 0.068394 loss_vfl: 0.988540 loss_bbox: 0.431752 loss_dfl: 0.417143 loss: 1.848467 eta: 13:18:14 batch_cost: 0.8865 data_cost: 0.1081 ips: 63.1677 images/s [03/18 19:21:25] ppdet.engine INFO: Epoch: [201] [260/523] learning_rate: 0.068345 loss_vfl: 1.051088 loss_bbox: 0.469305 loss_dfl: 0.439823 loss: 1.945887 eta: 13:17:56 batch_cost: 1.0274 data_cost: 0.2373 ips: 54.5085 images/s [03/18 19:21:48] ppdet.engine INFO: Epoch: [201] [280/523] learning_rate: 0.068297 loss_vfl: 0.991588 loss_bbox: 0.440657 loss_dfl: 0.418909 loss: 1.846100 eta: 13:17:38 batch_cost: 0.9715 data_cost: 0.1723 ips: 57.6401 images/s [03/18 19:22:11] ppdet.engine INFO: Epoch: [201] [300/523] learning_rate: 0.068249 loss_vfl: 1.011097 loss_bbox: 0.465500 loss_dfl: 0.433046 loss: 1.962886 eta: 13:17:21 batch_cost: 1.0341 data_cost: 0.1804 ips: 54.1513 images/s [03/18 19:22:32] ppdet.engine INFO: Epoch: [201] [320/523] learning_rate: 0.068201 loss_vfl: 1.040706 loss_bbox: 0.433417 loss_dfl: 0.421791 loss: 1.870758 eta: 13:17:01 batch_cost: 0.8628 data_cost: 0.0053 ips: 64.9029 images/s [03/18 19:22:55] ppdet.engine INFO: Epoch: [201] [340/523] learning_rate: 0.068152 loss_vfl: 0.999282 loss_bbox: 0.439127 loss_dfl: 0.423314 loss: 1.882381 eta: 13:16:43 batch_cost: 0.9758 data_cost: 0.2408 ips: 57.3907 images/s [03/18 19:23:17] ppdet.engine INFO: Epoch: [201] [360/523] learning_rate: 0.068104 loss_vfl: 1.017291 loss_bbox: 0.440216 loss_dfl: 0.425006 loss: 1.892769 eta: 13:16:25 batch_cost: 0.9432 data_cost: 0.2391 ips: 59.3698 images/s [03/18 19:23:41] ppdet.engine INFO: Epoch: [201] [380/523] learning_rate: 0.068056 loss_vfl: 1.007100 loss_bbox: 0.443430 loss_dfl: 0.422929 loss: 1.878392 eta: 13:16:08 batch_cost: 1.1020 data_cost: 0.3321 ips: 50.8173 images/s [03/18 19:24:02] ppdet.engine INFO: Epoch: [201] [400/523] learning_rate: 0.068008 loss_vfl: 1.018632 loss_bbox: 0.463046 loss_dfl: 0.429123 loss: 1.914608 eta: 13:15:49 batch_cost: 0.9162 data_cost: 0.2787 ips: 61.1216 images/s [03/18 19:24:20] ppdet.engine INFO: Epoch: [201] [420/523] learning_rate: 0.067960 loss_vfl: 1.080420 loss_bbox: 0.484053 loss_dfl: 0.437701 loss: 2.022454 eta: 13:15:29 batch_cost: 0.7891 data_cost: 0.0773 ips: 70.9689 images/s [03/18 19:24:38] ppdet.engine INFO: Epoch: [201] [440/523] learning_rate: 0.067912 loss_vfl: 1.038690 loss_bbox: 0.464374 loss_dfl: 0.438085 loss: 1.921054 eta: 13:15:09 batch_cost: 0.7289 data_cost: 0.0030 ips: 76.8262 images/s [03/18 19:25:00] ppdet.engine INFO: Epoch: [201] [460/523] learning_rate: 0.067863 loss_vfl: 1.032694 loss_bbox: 0.442691 loss_dfl: 0.418006 loss: 1.889613 eta: 13:14:50 batch_cost: 0.8958 data_cost: 0.0361 ips: 62.5154 images/s [03/18 19:25:19] ppdet.engine INFO: Epoch: [201] [480/523] learning_rate: 0.067815 loss_vfl: 1.050511 loss_bbox: 0.462214 loss_dfl: 0.433763 loss: 1.939370 eta: 13:14:30 batch_cost: 0.7857 data_cost: 0.0360 ips: 71.2728 images/s [03/18 19:25:42] ppdet.engine INFO: Epoch: [201] [500/523] learning_rate: 0.067767 loss_vfl: 1.026496 loss_bbox: 0.448826 loss_dfl: 0.421770 loss: 1.889343 eta: 13:14:12 batch_cost: 1.0128 data_cost: 0.2834 ips: 55.2918 images/s [03/18 19:26:02] ppdet.engine INFO: Epoch: [201] [520/523] learning_rate: 0.067719 loss_vfl: 0.985551 loss_bbox: 0.445261 loss_dfl: 0.407172 loss: 1.846294 eta: 13:13:52 batch_cost: 0.8208 data_cost: 0.1659 ips: 68.2224 images/s [03/18 19:26:15] ppdet.engine INFO: Epoch: [202] [ 0/523] learning_rate: 0.067712 loss_vfl: 0.993674 loss_bbox: 0.445261 loss_dfl: 0.414836 loss: 1.855184 eta: 13:13:54 batch_cost: 1.2831 data_cost: 0.6304 ips: 43.6426 images/s [03/18 19:26:35] ppdet.engine INFO: Epoch: [202] [ 20/523] learning_rate: 0.067664 loss_vfl: 1.020913 loss_bbox: 0.459592 loss_dfl: 0.435029 loss: 1.944294 eta: 13:13:35 batch_cost: 0.8419 data_cost: 0.0037 ips: 66.5194 images/s [03/18 19:26:57] ppdet.engine INFO: Epoch: [202] [ 40/523] learning_rate: 0.067616 loss_vfl: 0.995435 loss_bbox: 0.447259 loss_dfl: 0.414288 loss: 1.858684 eta: 13:13:16 batch_cost: 0.8944 data_cost: 0.0038 ips: 62.6085 images/s [03/18 19:27:20] ppdet.engine INFO: Epoch: [202] [ 60/523] learning_rate: 0.067568 loss_vfl: 1.004098 loss_bbox: 0.440382 loss_dfl: 0.416498 loss: 1.862635 eta: 13:12:58 batch_cost: 1.0075 data_cost: 0.1288 ips: 55.5820 images/s [03/18 19:27:39] ppdet.engine INFO: Epoch: [202] [ 80/523] learning_rate: 0.067519 loss_vfl: 0.962014 loss_bbox: 0.425361 loss_dfl: 0.395665 loss: 1.765816 eta: 13:12:38 batch_cost: 0.8241 data_cost: 0.0075 ips: 67.9504 images/s [03/18 19:28:02] ppdet.engine INFO: Epoch: [202] [100/523] learning_rate: 0.067471 loss_vfl: 0.995425 loss_bbox: 0.459045 loss_dfl: 0.422196 loss: 1.881994 eta: 13:12:20 batch_cost: 0.9321 data_cost: 0.1642 ips: 60.0794 images/s [03/18 19:28:22] ppdet.engine INFO: Epoch: [202] [120/523] learning_rate: 0.067423 loss_vfl: 1.032342 loss_bbox: 0.432728 loss_dfl: 0.423203 loss: 1.886858 eta: 13:12:01 batch_cost: 0.9174 data_cost: 0.1144 ips: 61.0452 images/s [03/18 19:28:44] ppdet.engine INFO: Epoch: [202] [140/523] learning_rate: 0.067375 loss_vfl: 1.046338 loss_bbox: 0.464257 loss_dfl: 0.433870 loss: 1.952315 eta: 13:11:42 batch_cost: 0.9457 data_cost: 0.1103 ips: 59.2180 images/s [03/18 19:29:02] ppdet.engine INFO: Epoch: [202] [160/523] learning_rate: 0.067327 loss_vfl: 1.024800 loss_bbox: 0.435233 loss_dfl: 0.424148 loss: 1.901510 eta: 13:11:22 batch_cost: 0.7443 data_cost: 0.0943 ips: 75.2379 images/s [03/18 19:29:20] ppdet.engine INFO: Epoch: [202] [180/523] learning_rate: 0.067279 loss_vfl: 1.043752 loss_bbox: 0.445384 loss_dfl: 0.426412 loss: 1.894443 eta: 13:11:02 batch_cost: 0.7697 data_cost: 0.0025 ips: 72.7567 images/s [03/18 19:29:39] ppdet.engine INFO: Epoch: [202] [200/523] learning_rate: 0.067231 loss_vfl: 1.021356 loss_bbox: 0.452509 loss_dfl: 0.420495 loss: 1.884212 eta: 13:10:42 batch_cost: 0.8281 data_cost: 0.0051 ips: 67.6212 images/s [03/18 19:30:03] ppdet.engine INFO: Epoch: [202] [220/523] learning_rate: 0.067183 loss_vfl: 1.018510 loss_bbox: 0.453584 loss_dfl: 0.424759 loss: 1.878432 eta: 13:10:25 batch_cost: 1.0330 data_cost: 0.0030 ips: 54.2120 images/s [03/18 19:30:23] ppdet.engine INFO: Epoch: [202] [240/523] learning_rate: 0.067135 loss_vfl: 1.042139 loss_bbox: 0.443577 loss_dfl: 0.421995 loss: 1.919163 eta: 13:10:06 batch_cost: 0.8823 data_cost: 0.0062 ips: 63.4704 images/s [03/18 19:30:44] ppdet.engine INFO: Epoch: [202] [260/523] learning_rate: 0.067087 loss_vfl: 1.013104 loss_bbox: 0.474786 loss_dfl: 0.429409 loss: 1.912800 eta: 13:09:47 batch_cost: 0.8926 data_cost: 0.0548 ips: 62.7384 images/s [03/18 19:31:05] ppdet.engine INFO: Epoch: [202] [280/523] learning_rate: 0.067039 loss_vfl: 1.029784 loss_bbox: 0.431745 loss_dfl: 0.419412 loss: 1.885940 eta: 13:09:28 batch_cost: 0.9159 data_cost: 0.1626 ips: 61.1439 images/s [03/18 19:31:28] ppdet.engine INFO: Epoch: [202] [300/523] learning_rate: 0.066992 loss_vfl: 1.027329 loss_bbox: 0.477518 loss_dfl: 0.447182 loss: 1.925452 eta: 13:09:10 batch_cost: 0.9819 data_cost: 0.1701 ips: 57.0336 images/s [03/18 19:31:49] ppdet.engine INFO: Epoch: [202] [320/523] learning_rate: 0.066944 loss_vfl: 1.030005 loss_bbox: 0.458794 loss_dfl: 0.437871 loss: 1.949605 eta: 13:08:51 batch_cost: 0.8922 data_cost: 0.0022 ips: 62.7645 images/s [03/18 19:32:11] ppdet.engine INFO: Epoch: [202] [340/523] learning_rate: 0.066896 loss_vfl: 1.030049 loss_bbox: 0.457427 loss_dfl: 0.432009 loss: 1.937106 eta: 13:08:32 batch_cost: 0.9174 data_cost: 0.0645 ips: 61.0389 images/s [03/18 19:32:30] ppdet.engine INFO: Epoch: [202] [360/523] learning_rate: 0.066848 loss_vfl: 1.104172 loss_bbox: 0.468045 loss_dfl: 0.445930 loss: 2.012385 eta: 13:08:12 batch_cost: 0.7682 data_cost: 0.0111 ips: 72.8991 images/s [03/18 19:32:53] ppdet.engine INFO: Epoch: [202] [380/523] learning_rate: 0.066800 loss_vfl: 1.102807 loss_bbox: 0.471953 loss_dfl: 0.444617 loss: 2.030345 eta: 13:07:55 batch_cost: 1.0417 data_cost: 0.1958 ips: 53.7604 images/s [03/18 19:33:13] ppdet.engine INFO: Epoch: [202] [400/523] learning_rate: 0.066752 loss_vfl: 1.058181 loss_bbox: 0.477475 loss_dfl: 0.446572 loss: 1.994795 eta: 13:07:35 batch_cost: 0.8560 data_cost: 0.0790 ips: 65.4233 images/s [03/18 19:33:34] ppdet.engine INFO: Epoch: [202] [420/523] learning_rate: 0.066704 loss_vfl: 1.052071 loss_bbox: 0.452944 loss_dfl: 0.424298 loss: 1.918831 eta: 13:07:16 batch_cost: 0.8271 data_cost: 0.0047 ips: 67.7085 images/s [03/18 19:33:50] ppdet.engine INFO: Epoch: [202] [440/523] learning_rate: 0.066656 loss_vfl: 1.036524 loss_bbox: 0.453380 loss_dfl: 0.423720 loss: 1.920337 eta: 13:06:55 batch_cost: 0.7189 data_cost: 0.0264 ips: 77.9014 images/s [03/18 19:34:10] ppdet.engine INFO: Epoch: [202] [460/523] learning_rate: 0.066608 loss_vfl: 1.009017 loss_bbox: 0.449076 loss_dfl: 0.427551 loss: 1.891794 eta: 13:06:36 batch_cost: 0.8867 data_cost: 0.0279 ips: 63.1558 images/s [03/18 19:34:31] ppdet.engine INFO: Epoch: [202] [480/523] learning_rate: 0.066561 loss_vfl: 1.042489 loss_bbox: 0.438588 loss_dfl: 0.426274 loss: 1.926178 eta: 13:06:17 batch_cost: 0.8684 data_cost: 0.0025 ips: 64.4855 images/s [03/18 19:34:52] ppdet.engine INFO: Epoch: [202] [500/523] learning_rate: 0.066513 loss_vfl: 0.997638 loss_bbox: 0.439118 loss_dfl: 0.422701 loss: 1.855808 eta: 13:05:58 batch_cost: 0.8647 data_cost: 0.0316 ips: 64.7612 images/s [03/18 19:35:09] ppdet.engine INFO: Epoch: [202] [520/523] learning_rate: 0.066465 loss_vfl: 0.989454 loss_bbox: 0.401040 loss_dfl: 0.383626 loss: 1.747201 eta: 13:05:37 batch_cost: 0.6370 data_cost: 0.0143 ips: 87.9171 images/s [03/18 19:35:20] ppdet.engine INFO: Epoch: [203] [ 0/523] learning_rate: 0.066458 loss_vfl: 0.996330 loss_bbox: 0.413894 loss_dfl: 0.405634 loss: 1.810718 eta: 13:05:37 batch_cost: 0.9990 data_cost: 0.4313 ips: 56.0563 images/s [03/18 19:35:43] ppdet.engine INFO: Epoch: [203] [ 20/523] learning_rate: 0.066410 loss_vfl: 1.032387 loss_bbox: 0.465555 loss_dfl: 0.429147 loss: 1.920350 eta: 13:05:19 batch_cost: 0.9816 data_cost: 0.1162 ips: 57.0480 images/s [03/18 19:36:06] ppdet.engine INFO: Epoch: [203] [ 40/523] learning_rate: 0.066362 loss_vfl: 0.985192 loss_bbox: 0.432256 loss_dfl: 0.417168 loss: 1.848139 eta: 13:05:01 batch_cost: 0.9663 data_cost: 0.1119 ips: 57.9545 images/s [03/18 19:36:29] ppdet.engine INFO: Epoch: [203] [ 60/523] learning_rate: 0.066315 loss_vfl: 1.072259 loss_bbox: 0.465675 loss_dfl: 0.440241 loss: 1.987329 eta: 13:04:43 batch_cost: 1.0331 data_cost: 0.3073 ips: 54.2078 images/s [03/18 19:36:53] ppdet.engine INFO: Epoch: [203] [ 80/523] learning_rate: 0.066267 loss_vfl: 1.035793 loss_bbox: 0.452597 loss_dfl: 0.425333 loss: 1.903871 eta: 13:04:25 batch_cost: 0.9691 data_cost: 0.2483 ips: 57.7832 images/s [03/18 19:37:15] ppdet.engine INFO: Epoch: [203] [100/523] learning_rate: 0.066219 loss_vfl: 1.031792 loss_bbox: 0.459458 loss_dfl: 0.439421 loss: 1.919100 eta: 13:04:06 batch_cost: 0.8648 data_cost: 0.0097 ips: 64.7550 images/s [03/18 19:37:34] ppdet.engine INFO: Epoch: [203] [120/523] learning_rate: 0.066171 loss_vfl: 0.999329 loss_bbox: 0.459404 loss_dfl: 0.427659 loss: 1.905120 eta: 13:03:46 batch_cost: 0.8257 data_cost: 0.0898 ips: 67.8218 images/s [03/18 19:37:59] ppdet.engine INFO: Epoch: [203] [140/523] learning_rate: 0.066124 loss_vfl: 1.021417 loss_bbox: 0.435686 loss_dfl: 0.422723 loss: 1.895730 eta: 13:03:30 batch_cost: 1.1273 data_cost: 0.2950 ips: 49.6742 images/s [03/18 19:38:20] ppdet.engine INFO: Epoch: [203] [160/523] learning_rate: 0.066076 loss_vfl: 1.001651 loss_bbox: 0.439266 loss_dfl: 0.415930 loss: 1.850263 eta: 13:03:11 batch_cost: 0.8999 data_cost: 0.1730 ips: 62.2299 images/s [03/18 19:38:37] ppdet.engine INFO: Epoch: [203] [180/523] learning_rate: 0.066028 loss_vfl: 0.962951 loss_bbox: 0.414757 loss_dfl: 0.408412 loss: 1.774855 eta: 13:02:50 batch_cost: 0.7361 data_cost: 0.0010 ips: 76.0758 images/s [03/18 19:38:56] ppdet.engine INFO: Epoch: [203] [200/523] learning_rate: 0.065980 loss_vfl: 0.990700 loss_bbox: 0.450977 loss_dfl: 0.421358 loss: 1.834563 eta: 13:02:31 batch_cost: 0.8332 data_cost: 0.0169 ips: 67.2117 images/s [03/18 19:39:16] ppdet.engine INFO: Epoch: [203] [220/523] learning_rate: 0.065933 loss_vfl: 0.995650 loss_bbox: 0.450900 loss_dfl: 0.419325 loss: 1.866449 eta: 13:02:12 batch_cost: 0.9059 data_cost: 0.0608 ips: 61.8145 images/s [03/18 19:39:39] ppdet.engine INFO: Epoch: [203] [240/523] learning_rate: 0.065885 loss_vfl: 0.981991 loss_bbox: 0.444198 loss_dfl: 0.414248 loss: 1.849864 eta: 13:01:54 batch_cost: 0.9544 data_cost: 0.2027 ips: 58.6768 images/s [03/18 19:40:02] ppdet.engine INFO: Epoch: [203] [260/523] learning_rate: 0.065838 loss_vfl: 1.045818 loss_bbox: 0.458040 loss_dfl: 0.431500 loss: 1.980147 eta: 13:01:36 batch_cost: 1.0436 data_cost: 0.3030 ips: 53.6620 images/s [03/18 19:40:24] ppdet.engine INFO: Epoch: [203] [280/523] learning_rate: 0.065790 loss_vfl: 1.038818 loss_bbox: 0.473346 loss_dfl: 0.434376 loss: 1.947793 eta: 13:01:18 batch_cost: 0.9666 data_cost: 0.0688 ips: 57.9335 images/s [03/18 19:40:46] ppdet.engine INFO: Epoch: [203] [300/523] learning_rate: 0.065742 loss_vfl: 1.017538 loss_bbox: 0.455288 loss_dfl: 0.426556 loss: 1.899074 eta: 13:01:00 batch_cost: 0.9583 data_cost: 0.1514 ips: 58.4385 images/s [03/18 19:41:07] ppdet.engine INFO: Epoch: [203] [320/523] learning_rate: 0.065695 loss_vfl: 0.976408 loss_bbox: 0.425708 loss_dfl: 0.410025 loss: 1.800861 eta: 13:00:41 batch_cost: 0.9001 data_cost: 0.0024 ips: 62.2171 images/s [03/18 19:41:28] ppdet.engine INFO: Epoch: [203] [340/523] learning_rate: 0.065647 loss_vfl: 1.064343 loss_bbox: 0.463823 loss_dfl: 0.436861 loss: 1.973031 eta: 13:00:22 batch_cost: 0.8992 data_cost: 0.0508 ips: 62.2808 images/s [03/18 19:41:51] ppdet.engine INFO: Epoch: [203] [360/523] learning_rate: 0.065599 loss_vfl: 0.963538 loss_bbox: 0.436770 loss_dfl: 0.397932 loss: 1.808752 eta: 13:00:03 batch_cost: 0.8971 data_cost: 0.0063 ips: 62.4240 images/s [03/18 19:42:13] ppdet.engine INFO: Epoch: [203] [380/523] learning_rate: 0.065552 loss_vfl: 1.047192 loss_bbox: 0.443960 loss_dfl: 0.417558 loss: 1.946126 eta: 12:59:45 batch_cost: 0.9346 data_cost: 0.1194 ips: 59.9199 images/s [03/18 19:42:34] ppdet.engine INFO: Epoch: [203] [400/523] learning_rate: 0.065504 loss_vfl: 1.009008 loss_bbox: 0.415385 loss_dfl: 0.412993 loss: 1.848428 eta: 12:59:25 batch_cost: 0.8456 data_cost: 0.0713 ips: 66.2255 images/s [03/18 19:42:56] ppdet.engine INFO: Epoch: [203] [420/523] learning_rate: 0.065457 loss_vfl: 1.069413 loss_bbox: 0.474632 loss_dfl: 0.444499 loss: 2.005578 eta: 12:59:07 batch_cost: 0.9395 data_cost: 0.0256 ips: 59.6092 images/s [03/18 19:43:13] ppdet.engine INFO: Epoch: [203] [440/523] learning_rate: 0.065409 loss_vfl: 1.026821 loss_bbox: 0.437495 loss_dfl: 0.417999 loss: 1.901018 eta: 12:58:46 batch_cost: 0.6879 data_cost: 0.0715 ips: 81.4071 images/s [03/18 19:43:31] ppdet.engine INFO: Epoch: [203] [460/523] learning_rate: 0.065362 loss_vfl: 1.021588 loss_bbox: 0.464678 loss_dfl: 0.430923 loss: 1.934958 eta: 12:58:25 batch_cost: 0.7374 data_cost: 0.1008 ips: 75.9463 images/s [03/18 19:43:50] ppdet.engine INFO: Epoch: [203] [480/523] learning_rate: 0.065314 loss_vfl: 1.067021 loss_bbox: 0.463198 loss_dfl: 0.445019 loss: 1.958503 eta: 12:58:06 batch_cost: 0.7880 data_cost: 0.0038 ips: 71.0683 images/s [03/18 19:44:11] ppdet.engine INFO: Epoch: [203] [500/523] learning_rate: 0.065267 loss_vfl: 1.047803 loss_bbox: 0.443956 loss_dfl: 0.420546 loss: 1.913059 eta: 12:57:47 batch_cost: 0.8895 data_cost: 0.0113 ips: 62.9602 images/s [03/18 19:44:28] ppdet.engine INFO: Epoch: [203] [520/523] learning_rate: 0.065219 loss_vfl: 1.000894 loss_bbox: 0.421978 loss_dfl: 0.410263 loss: 1.853220 eta: 12:57:27 batch_cost: 0.7854 data_cost: 0.0160 ips: 71.2998 images/s [03/18 19:44:45] ppdet.engine INFO: Epoch: [204] [ 0/523] learning_rate: 0.065212 loss_vfl: 1.013589 loss_bbox: 0.432323 loss_dfl: 0.421778 loss: 1.855763 eta: 12:57:30 batch_cost: 1.4020 data_cost: 0.6276 ips: 39.9429 images/s [03/18 19:45:04] ppdet.engine INFO: Epoch: [204] [ 20/523] learning_rate: 0.065165 loss_vfl: 1.012653 loss_bbox: 0.451244 loss_dfl: 0.428356 loss: 1.901498 eta: 12:57:10 batch_cost: 0.8212 data_cost: 0.0043 ips: 68.1918 images/s [03/18 19:45:26] ppdet.engine INFO: Epoch: [204] [ 40/523] learning_rate: 0.065117 loss_vfl: 0.977209 loss_bbox: 0.442143 loss_dfl: 0.417405 loss: 1.831058 eta: 12:56:52 batch_cost: 0.9805 data_cost: 0.0027 ips: 57.1130 images/s [03/18 19:45:51] ppdet.engine INFO: Epoch: [204] [ 60/523] learning_rate: 0.065070 loss_vfl: 0.984574 loss_bbox: 0.439450 loss_dfl: 0.415226 loss: 1.849514 eta: 12:56:35 batch_cost: 1.1027 data_cost: 0.0013 ips: 50.7845 images/s [03/18 19:46:12] ppdet.engine INFO: Epoch: [204] [ 80/523] learning_rate: 0.065022 loss_vfl: 1.046144 loss_bbox: 0.454031 loss_dfl: 0.433342 loss: 1.924439 eta: 12:56:17 batch_cost: 0.9594 data_cost: 0.0034 ips: 58.3702 images/s [03/18 19:46:33] ppdet.engine INFO: Epoch: [204] [100/523] learning_rate: 0.064975 loss_vfl: 1.058649 loss_bbox: 0.493688 loss_dfl: 0.452103 loss: 1.997151 eta: 12:55:58 batch_cost: 0.8978 data_cost: 0.0032 ips: 62.3741 images/s [03/18 19:46:59] ppdet.engine INFO: Epoch: [204] [120/523] learning_rate: 0.064927 loss_vfl: 1.028295 loss_bbox: 0.457520 loss_dfl: 0.425468 loss: 1.927453 eta: 12:55:41 batch_cost: 1.1766 data_cost: 0.3604 ips: 47.5965 images/s [03/18 19:47:20] ppdet.engine INFO: Epoch: [204] [140/523] learning_rate: 0.064880 loss_vfl: 1.017765 loss_bbox: 0.451893 loss_dfl: 0.433197 loss: 1.897806 eta: 12:55:22 batch_cost: 0.8252 data_cost: 0.1177 ips: 67.8602 images/s [03/18 19:47:41] ppdet.engine INFO: Epoch: [204] [160/523] learning_rate: 0.064833 loss_vfl: 1.012809 loss_bbox: 0.428305 loss_dfl: 0.426188 loss: 1.858419 eta: 12:55:03 batch_cost: 0.9388 data_cost: 0.1991 ips: 59.6489 images/s [03/18 19:47:59] ppdet.engine INFO: Epoch: [204] [180/523] learning_rate: 0.064785 loss_vfl: 1.047577 loss_bbox: 0.463367 loss_dfl: 0.436046 loss: 1.941671 eta: 12:54:44 batch_cost: 0.8201 data_cost: 0.0291 ips: 68.2847 images/s [03/18 19:48:18] ppdet.engine INFO: Epoch: [204] [200/523] learning_rate: 0.064738 loss_vfl: 1.044614 loss_bbox: 0.443848 loss_dfl: 0.429496 loss: 1.924759 eta: 12:54:24 batch_cost: 0.8242 data_cost: 0.0040 ips: 67.9410 images/s [03/18 19:48:39] ppdet.engine INFO: Epoch: [204] [220/523] learning_rate: 0.064690 loss_vfl: 0.979085 loss_bbox: 0.442914 loss_dfl: 0.406152 loss: 1.813773 eta: 12:54:05 batch_cost: 0.8997 data_cost: 0.0048 ips: 62.2414 images/s [03/18 19:49:03] ppdet.engine INFO: Epoch: [204] [240/523] learning_rate: 0.064643 loss_vfl: 1.010533 loss_bbox: 0.450183 loss_dfl: 0.437766 loss: 1.886310 eta: 12:53:47 batch_cost: 0.9505 data_cost: 0.0170 ips: 58.9183 images/s [03/18 19:49:27] ppdet.engine INFO: Epoch: [204] [260/523] learning_rate: 0.064596 loss_vfl: 1.049880 loss_bbox: 0.449589 loss_dfl: 0.425492 loss: 1.900330 eta: 12:53:28 batch_cost: 0.9263 data_cost: 0.0149 ips: 60.4569 images/s [03/18 19:49:46] ppdet.engine INFO: Epoch: [204] [280/523] learning_rate: 0.064548 loss_vfl: 0.953848 loss_bbox: 0.431951 loss_dfl: 0.417878 loss: 1.801085 eta: 12:53:08 batch_cost: 0.7875 data_cost: 0.0416 ips: 71.1130 images/s [03/18 19:50:10] ppdet.engine INFO: Epoch: [204] [300/523] learning_rate: 0.064501 loss_vfl: 1.070221 loss_bbox: 0.471080 loss_dfl: 0.444462 loss: 1.949566 eta: 12:52:51 batch_cost: 1.0091 data_cost: 0.2136 ips: 55.4925 images/s [03/18 19:50:31] ppdet.engine INFO: Epoch: [204] [320/523] learning_rate: 0.064454 loss_vfl: 1.001187 loss_bbox: 0.446211 loss_dfl: 0.423004 loss: 1.860926 eta: 12:52:31 batch_cost: 0.8272 data_cost: 0.0389 ips: 67.6954 images/s [03/18 19:50:54] ppdet.engine INFO: Epoch: [204] [340/523] learning_rate: 0.064407 loss_vfl: 1.052248 loss_bbox: 0.455193 loss_dfl: 0.434753 loss: 1.946977 eta: 12:52:13 batch_cost: 1.0266 data_cost: 0.2626 ips: 54.5473 images/s [03/18 19:51:16] ppdet.engine INFO: Epoch: [204] [360/523] learning_rate: 0.064359 loss_vfl: 0.968121 loss_bbox: 0.425922 loss_dfl: 0.397302 loss: 1.802274 eta: 12:51:55 batch_cost: 0.9784 data_cost: 0.0296 ips: 57.2340 images/s [03/18 19:51:38] ppdet.engine INFO: Epoch: [204] [380/523] learning_rate: 0.064312 loss_vfl: 0.997508 loss_bbox: 0.451103 loss_dfl: 0.423867 loss: 1.877288 eta: 12:51:37 batch_cost: 0.9286 data_cost: 0.1939 ips: 60.3048 images/s [03/18 19:52:01] ppdet.engine INFO: Epoch: [204] [400/523] learning_rate: 0.064265 loss_vfl: 1.035445 loss_bbox: 0.442839 loss_dfl: 0.427447 loss: 1.894075 eta: 12:51:18 batch_cost: 0.9592 data_cost: 0.2085 ips: 58.3847 images/s [03/18 19:52:21] ppdet.engine INFO: Epoch: [204] [420/523] learning_rate: 0.064218 loss_vfl: 1.066549 loss_bbox: 0.466421 loss_dfl: 0.440930 loss: 2.015858 eta: 12:50:58 batch_cost: 0.7591 data_cost: 0.0037 ips: 73.7680 images/s [03/18 19:52:38] ppdet.engine INFO: Epoch: [204] [440/523] learning_rate: 0.064170 loss_vfl: 0.984769 loss_bbox: 0.419182 loss_dfl: 0.402024 loss: 1.803516 eta: 12:50:38 batch_cost: 0.7628 data_cost: 0.0046 ips: 73.4104 images/s [03/18 19:52:58] ppdet.engine INFO: Epoch: [204] [460/523] learning_rate: 0.064123 loss_vfl: 1.007548 loss_bbox: 0.424884 loss_dfl: 0.415817 loss: 1.845593 eta: 12:50:19 batch_cost: 0.8328 data_cost: 0.0133 ips: 67.2470 images/s [03/18 19:53:22] ppdet.engine INFO: Epoch: [204] [480/523] learning_rate: 0.064076 loss_vfl: 0.975596 loss_bbox: 0.435402 loss_dfl: 0.413432 loss: 1.833751 eta: 12:50:02 batch_cost: 1.0868 data_cost: 0.1428 ips: 51.5278 images/s [03/18 19:53:42] ppdet.engine INFO: Epoch: [204] [500/523] learning_rate: 0.064029 loss_vfl: 1.053488 loss_bbox: 0.438064 loss_dfl: 0.418427 loss: 1.898272 eta: 12:49:42 batch_cost: 0.8397 data_cost: 0.0510 ips: 66.6886 images/s [03/18 19:54:00] ppdet.engine INFO: Epoch: [204] [520/523] learning_rate: 0.063982 loss_vfl: 0.990957 loss_bbox: 0.434522 loss_dfl: 0.417602 loss: 1.833177 eta: 12:49:22 batch_cost: 0.7669 data_cost: 0.1273 ips: 73.0259 images/s [03/18 19:54:11] ppdet.engine INFO: Epoch: [205] [ 0/523] learning_rate: 0.063974 loss_vfl: 1.006371 loss_bbox: 0.434522 loss_dfl: 0.427639 loss: 1.854296 eta: 12:49:22 batch_cost: 1.0832 data_cost: 0.4666 ips: 51.6996 images/s [03/18 19:54:35] ppdet.engine INFO: Epoch: [205] [ 20/523] learning_rate: 0.063927 loss_vfl: 0.974053 loss_bbox: 0.445735 loss_dfl: 0.424117 loss: 1.842224 eta: 12:49:05 batch_cost: 1.0755 data_cost: 0.1087 ips: 52.0665 images/s [03/18 19:54:57] ppdet.engine INFO: Epoch: [205] [ 40/523] learning_rate: 0.063880 loss_vfl: 1.047657 loss_bbox: 0.463834 loss_dfl: 0.438892 loss: 1.953617 eta: 12:48:46 batch_cost: 0.8929 data_cost: 0.0119 ips: 62.7158 images/s [03/18 19:55:14] ppdet.engine INFO: Epoch: [205] [ 60/523] learning_rate: 0.063833 loss_vfl: 0.980856 loss_bbox: 0.438762 loss_dfl: 0.411986 loss: 1.830083 eta: 12:48:25 batch_cost: 0.7148 data_cost: 0.0056 ips: 78.3394 images/s [03/18 19:55:39] ppdet.engine INFO: Epoch: [205] [ 80/523] learning_rate: 0.063786 loss_vfl: 1.067238 loss_bbox: 0.473051 loss_dfl: 0.439199 loss: 1.971168 eta: 12:48:08 batch_cost: 1.0769 data_cost: 0.3634 ips: 52.0025 images/s [03/18 19:56:00] ppdet.engine INFO: Epoch: [205] [100/523] learning_rate: 0.063739 loss_vfl: 1.024705 loss_bbox: 0.469082 loss_dfl: 0.434414 loss: 1.913718 eta: 12:47:49 batch_cost: 0.8829 data_cost: 0.1287 ips: 63.4250 images/s [03/18 19:56:21] ppdet.engine INFO: Epoch: [205] [120/523] learning_rate: 0.063692 loss_vfl: 1.022699 loss_bbox: 0.468489 loss_dfl: 0.426724 loss: 1.891817 eta: 12:47:30 batch_cost: 0.8935 data_cost: 0.1154 ips: 62.6747 images/s [03/18 19:56:41] ppdet.engine INFO: Epoch: [205] [140/523] learning_rate: 0.063645 loss_vfl: 0.986320 loss_bbox: 0.432584 loss_dfl: 0.424327 loss: 1.838187 eta: 12:47:11 batch_cost: 0.8594 data_cost: 0.0158 ips: 65.1610 images/s [03/18 19:57:02] ppdet.engine INFO: Epoch: [205] [160/523] learning_rate: 0.063597 loss_vfl: 1.021780 loss_bbox: 0.463028 loss_dfl: 0.426668 loss: 1.918630 eta: 12:46:52 batch_cost: 0.8257 data_cost: 0.1461 ips: 67.8179 images/s [03/18 19:57:19] ppdet.engine INFO: Epoch: [205] [180/523] learning_rate: 0.063550 loss_vfl: 0.989645 loss_bbox: 0.427510 loss_dfl: 0.404725 loss: 1.791844 eta: 12:46:31 batch_cost: 0.7359 data_cost: 0.0017 ips: 76.0961 images/s [03/18 19:57:37] ppdet.engine INFO: Epoch: [205] [200/523] learning_rate: 0.063503 loss_vfl: 1.001714 loss_bbox: 0.429489 loss_dfl: 0.411773 loss: 1.852739 eta: 12:46:11 batch_cost: 0.7402 data_cost: 0.0021 ips: 75.6586 images/s [03/18 19:57:59] ppdet.engine INFO: Epoch: [205] [220/523] learning_rate: 0.063456 loss_vfl: 1.048414 loss_bbox: 0.466753 loss_dfl: 0.434822 loss: 1.953443 eta: 12:45:53 batch_cost: 1.0088 data_cost: 0.0048 ips: 55.5141 images/s [03/18 19:58:19] ppdet.engine INFO: Epoch: [205] [240/523] learning_rate: 0.063409 loss_vfl: 1.007453 loss_bbox: 0.462658 loss_dfl: 0.421258 loss: 1.860256 eta: 12:45:33 batch_cost: 0.7935 data_cost: 0.0460 ips: 70.5747 images/s [03/18 19:58:43] ppdet.engine INFO: Epoch: [205] [260/523] learning_rate: 0.063362 loss_vfl: 1.062553 loss_bbox: 0.463123 loss_dfl: 0.441822 loss: 1.971174 eta: 12:45:15 batch_cost: 0.9981 data_cost: 0.1322 ips: 56.1046 images/s [03/18 19:59:03] ppdet.engine INFO: Epoch: [205] [280/523] learning_rate: 0.063315 loss_vfl: 0.995681 loss_bbox: 0.446012 loss_dfl: 0.415792 loss: 1.857118 eta: 12:44:56 batch_cost: 0.8738 data_cost: 0.0672 ips: 64.0892 images/s [03/18 19:59:23] ppdet.engine INFO: Epoch: [205] [300/523] learning_rate: 0.063268 loss_vfl: 1.049028 loss_bbox: 0.474791 loss_dfl: 0.433076 loss: 1.985681 eta: 12:44:37 batch_cost: 0.8270 data_cost: 0.0113 ips: 67.7159 images/s [03/18 19:59:43] ppdet.engine INFO: Epoch: [205] [320/523] learning_rate: 0.063221 loss_vfl: 1.035473 loss_bbox: 0.438869 loss_dfl: 0.413861 loss: 1.886755 eta: 12:44:17 batch_cost: 0.8237 data_cost: 0.0027 ips: 67.9834 images/s [03/18 20:00:05] ppdet.engine INFO: Epoch: [205] [340/523] learning_rate: 0.063174 loss_vfl: 1.038752 loss_bbox: 0.466352 loss_dfl: 0.439187 loss: 1.941745 eta: 12:43:59 batch_cost: 0.9452 data_cost: 0.0546 ips: 59.2492 images/s [03/18 20:00:25] ppdet.engine INFO: Epoch: [205] [360/523] learning_rate: 0.063127 loss_vfl: 1.094847 loss_bbox: 0.472458 loss_dfl: 0.441373 loss: 1.983278 eta: 12:43:40 batch_cost: 0.8775 data_cost: 0.0029 ips: 63.8197 images/s [03/18 20:00:46] ppdet.engine INFO: Epoch: [205] [380/523] learning_rate: 0.063080 loss_vfl: 1.030179 loss_bbox: 0.456225 loss_dfl: 0.434309 loss: 1.932944 eta: 12:43:21 batch_cost: 0.8759 data_cost: 0.1776 ips: 63.9355 images/s [03/18 20:01:07] ppdet.engine INFO: Epoch: [205] [400/523] learning_rate: 0.063034 loss_vfl: 1.073660 loss_bbox: 0.464679 loss_dfl: 0.438573 loss: 1.970901 eta: 12:43:02 batch_cost: 0.8839 data_cost: 0.1674 ips: 63.3543 images/s [03/18 20:01:27] ppdet.engine INFO: Epoch: [205] [420/523] learning_rate: 0.062987 loss_vfl: 1.009702 loss_bbox: 0.438930 loss_dfl: 0.420976 loss: 1.838020 eta: 12:42:42 batch_cost: 0.8527 data_cost: 0.1570 ips: 65.6756 images/s [03/18 20:01:48] ppdet.engine INFO: Epoch: [205] [440/523] learning_rate: 0.062940 loss_vfl: 1.042758 loss_bbox: 0.451600 loss_dfl: 0.437262 loss: 1.995680 eta: 12:42:24 batch_cost: 0.9190 data_cost: 0.2422 ips: 60.9347 images/s [03/18 20:02:06] ppdet.engine INFO: Epoch: [205] [460/523] learning_rate: 0.062893 loss_vfl: 1.034284 loss_bbox: 0.468496 loss_dfl: 0.429870 loss: 1.949119 eta: 12:42:04 batch_cost: 0.7740 data_cost: 0.0786 ips: 72.3484 images/s [03/18 20:02:24] ppdet.engine INFO: Epoch: [205] [480/523] learning_rate: 0.062846 loss_vfl: 1.015574 loss_bbox: 0.434036 loss_dfl: 0.419571 loss: 1.896357 eta: 12:41:43 batch_cost: 0.7579 data_cost: 0.0054 ips: 73.8861 images/s [03/18 20:02:44] ppdet.engine INFO: Epoch: [205] [500/523] learning_rate: 0.062799 loss_vfl: 1.085531 loss_bbox: 0.485883 loss_dfl: 0.458534 loss: 2.026654 eta: 12:41:24 batch_cost: 0.8750 data_cost: 0.0809 ips: 64.0015 images/s [03/18 20:03:01] ppdet.engine INFO: Epoch: [205] [520/523] learning_rate: 0.062752 loss_vfl: 1.004350 loss_bbox: 0.450208 loss_dfl: 0.416038 loss: 1.855831 eta: 12:41:04 batch_cost: 0.6827 data_cost: 0.0472 ips: 82.0302 images/s [03/18 20:03:12] ppdet.engine INFO: Epoch: [206] [ 0/523] learning_rate: 0.062745 loss_vfl: 0.963373 loss_bbox: 0.423386 loss_dfl: 0.405094 loss: 1.805062 eta: 12:41:04 batch_cost: 1.0793 data_cost: 0.3479 ips: 51.8852 images/s [03/18 20:03:33] ppdet.engine INFO: Epoch: [206] [ 20/523] learning_rate: 0.062698 loss_vfl: 1.015078 loss_bbox: 0.434404 loss_dfl: 0.420501 loss: 1.886428 eta: 12:40:46 batch_cost: 0.9423 data_cost: 0.0042 ips: 59.4269 images/s [03/18 20:03:56] ppdet.engine INFO: Epoch: [206] [ 40/523] learning_rate: 0.062652 loss_vfl: 0.988547 loss_bbox: 0.424161 loss_dfl: 0.408681 loss: 1.805235 eta: 12:40:27 batch_cost: 0.9372 data_cost: 0.0022 ips: 59.7537 images/s [03/18 20:04:17] ppdet.engine INFO: Epoch: [206] [ 60/523] learning_rate: 0.062605 loss_vfl: 1.024778 loss_bbox: 0.435846 loss_dfl: 0.417830 loss: 1.867602 eta: 12:40:08 batch_cost: 0.9228 data_cost: 0.0049 ips: 60.6843 images/s [03/18 20:04:36] ppdet.engine INFO: Epoch: [206] [ 80/523] learning_rate: 0.062558 loss_vfl: 1.004831 loss_bbox: 0.443740 loss_dfl: 0.426763 loss: 1.900018 eta: 12:39:49 batch_cost: 0.8461 data_cost: 0.0041 ips: 66.1844 images/s [03/18 20:04:57] ppdet.engine INFO: Epoch: [206] [100/523] learning_rate: 0.062511 loss_vfl: 0.982246 loss_bbox: 0.437254 loss_dfl: 0.400568 loss: 1.798455 eta: 12:39:30 batch_cost: 0.9179 data_cost: 0.0015 ips: 61.0109 images/s [03/18 20:05:19] ppdet.engine INFO: Epoch: [206] [120/523] learning_rate: 0.062464 loss_vfl: 1.029976 loss_bbox: 0.432323 loss_dfl: 0.410009 loss: 1.851437 eta: 12:39:12 batch_cost: 0.9403 data_cost: 0.0091 ips: 59.5535 images/s [03/18 20:05:41] ppdet.engine INFO: Epoch: [206] [140/523] learning_rate: 0.062418 loss_vfl: 1.025267 loss_bbox: 0.458528 loss_dfl: 0.427361 loss: 1.897647 eta: 12:38:54 batch_cost: 0.9746 data_cost: 0.0020 ips: 57.4610 images/s [03/18 20:06:00] ppdet.engine INFO: Epoch: [206] [160/523] learning_rate: 0.062371 loss_vfl: 0.981357 loss_bbox: 0.428202 loss_dfl: 0.407340 loss: 1.830823 eta: 12:38:35 batch_cost: 0.8573 data_cost: 0.0138 ips: 65.3207 images/s [03/18 20:06:21] ppdet.engine INFO: Epoch: [206] [180/523] learning_rate: 0.062324 loss_vfl: 1.059702 loss_bbox: 0.475829 loss_dfl: 0.444436 loss: 1.983958 eta: 12:38:16 batch_cost: 0.9725 data_cost: 0.0021 ips: 57.5814 images/s [03/18 20:06:42] ppdet.engine INFO: Epoch: [206] [200/523] learning_rate: 0.062277 loss_vfl: 1.037210 loss_bbox: 0.454430 loss_dfl: 0.427664 loss: 1.932766 eta: 12:37:57 batch_cost: 0.8492 data_cost: 0.0009 ips: 65.9415 images/s [03/18 20:07:00] ppdet.engine INFO: Epoch: [206] [220/523] learning_rate: 0.062231 loss_vfl: 0.961871 loss_bbox: 0.424773 loss_dfl: 0.408069 loss: 1.804588 eta: 12:37:37 batch_cost: 0.8004 data_cost: 0.0031 ips: 69.9639 images/s [03/18 20:07:18] ppdet.engine INFO: Epoch: [206] [240/523] learning_rate: 0.062184 loss_vfl: 1.013203 loss_bbox: 0.427401 loss_dfl: 0.410377 loss: 1.869911 eta: 12:37:17 batch_cost: 0.7187 data_cost: 0.0030 ips: 77.9169 images/s [03/18 20:07:36] ppdet.engine INFO: Epoch: [206] [260/523] learning_rate: 0.062137 loss_vfl: 1.030967 loss_bbox: 0.461286 loss_dfl: 0.432835 loss: 1.919155 eta: 12:36:57 batch_cost: 0.7639 data_cost: 0.0045 ips: 73.3094 images/s [03/18 20:07:59] ppdet.engine INFO: Epoch: [206] [280/523] learning_rate: 0.062091 loss_vfl: 1.076192 loss_bbox: 0.452317 loss_dfl: 0.439657 loss: 1.986255 eta: 12:36:39 batch_cost: 0.9754 data_cost: 0.0040 ips: 57.4103 images/s [03/18 20:08:18] ppdet.engine INFO: Epoch: [206] [300/523] learning_rate: 0.062044 loss_vfl: 1.040242 loss_bbox: 0.465087 loss_dfl: 0.438658 loss: 1.943923 eta: 12:36:20 batch_cost: 0.8741 data_cost: 0.0037 ips: 64.0638 images/s [03/18 20:08:39] ppdet.engine INFO: Epoch: [206] [320/523] learning_rate: 0.061997 loss_vfl: 1.021095 loss_bbox: 0.458118 loss_dfl: 0.431531 loss: 1.898265 eta: 12:36:01 batch_cost: 0.9228 data_cost: 0.0145 ips: 60.6840 images/s [03/18 20:09:01] ppdet.engine INFO: Epoch: [206] [340/523] learning_rate: 0.061951 loss_vfl: 1.016341 loss_bbox: 0.430020 loss_dfl: 0.420227 loss: 1.858221 eta: 12:35:43 batch_cost: 0.9566 data_cost: 0.0037 ips: 58.5400 images/s [03/18 20:09:23] ppdet.engine INFO: Epoch: [206] [360/523] learning_rate: 0.061904 loss_vfl: 1.020655 loss_bbox: 0.432498 loss_dfl: 0.416928 loss: 1.857637 eta: 12:35:25 batch_cost: 0.9852 data_cost: 0.0064 ips: 56.8395 images/s [03/18 20:09:43] ppdet.engine INFO: Epoch: [206] [380/523] learning_rate: 0.061857 loss_vfl: 1.051631 loss_bbox: 0.444197 loss_dfl: 0.427139 loss: 1.925741 eta: 12:35:06 batch_cost: 0.8863 data_cost: 0.0099 ips: 63.1843 images/s [03/18 20:10:04] ppdet.engine INFO: Epoch: [206] [400/523] learning_rate: 0.061811 loss_vfl: 1.045487 loss_bbox: 0.455767 loss_dfl: 0.438874 loss: 1.959487 eta: 12:34:47 batch_cost: 0.9396 data_cost: 0.0023 ips: 59.5980 images/s [03/18 20:10:24] ppdet.engine INFO: Epoch: [206] [420/523] learning_rate: 0.061764 loss_vfl: 1.058847 loss_bbox: 0.462653 loss_dfl: 0.432583 loss: 1.940367 eta: 12:34:27 batch_cost: 0.7853 data_cost: 0.0022 ips: 71.3087 images/s [03/18 20:10:44] ppdet.engine INFO: Epoch: [206] [440/523] learning_rate: 0.061718 loss_vfl: 1.015389 loss_bbox: 0.464724 loss_dfl: 0.423874 loss: 1.920599 eta: 12:34:08 batch_cost: 0.8894 data_cost: 0.0003 ips: 62.9629 images/s [03/18 20:11:06] ppdet.engine INFO: Epoch: [206] [460/523] learning_rate: 0.061671 loss_vfl: 1.052070 loss_bbox: 0.458930 loss_dfl: 0.438055 loss: 1.957686 eta: 12:33:50 batch_cost: 1.0038 data_cost: 0.0121 ips: 55.7905 images/s [03/18 20:11:26] ppdet.engine INFO: Epoch: [206] [480/523] learning_rate: 0.061625 loss_vfl: 1.070512 loss_bbox: 0.465053 loss_dfl: 0.444409 loss: 1.996512 eta: 12:33:31 batch_cost: 0.8650 data_cost: 0.0036 ips: 64.7375 images/s [03/18 20:11:46] ppdet.engine INFO: Epoch: [206] [500/523] learning_rate: 0.061578 loss_vfl: 1.026754 loss_bbox: 0.444553 loss_dfl: 0.422741 loss: 1.896950 eta: 12:33:12 batch_cost: 0.8413 data_cost: 0.0022 ips: 66.5663 images/s [03/18 20:12:00] ppdet.engine INFO: Epoch: [206] [520/523] learning_rate: 0.061531 loss_vfl: 1.022604 loss_bbox: 0.444839 loss_dfl: 0.424694 loss: 1.920026 eta: 12:32:51 batch_cost: 0.6642 data_cost: 0.0037 ips: 84.3059 images/s [03/18 20:12:11] ppdet.engine INFO: Epoch: [207] [ 0/523] learning_rate: 0.061524 loss_vfl: 1.025460 loss_bbox: 0.454951 loss_dfl: 0.427594 loss: 1.933794 eta: 12:32:51 batch_cost: 0.9510 data_cost: 0.3036 ips: 58.8885 images/s [03/18 20:12:32] ppdet.engine INFO: Epoch: [207] [ 20/523] learning_rate: 0.061478 loss_vfl: 1.040198 loss_bbox: 0.459724 loss_dfl: 0.433490 loss: 1.903316 eta: 12:32:32 batch_cost: 0.9084 data_cost: 0.0026 ips: 61.6447 images/s [03/18 20:12:54] ppdet.engine INFO: Epoch: [207] [ 40/523] learning_rate: 0.061431 loss_vfl: 1.050899 loss_bbox: 0.474206 loss_dfl: 0.442849 loss: 1.973765 eta: 12:32:14 batch_cost: 0.9269 data_cost: 0.0043 ips: 60.4193 images/s [03/18 20:13:14] ppdet.engine INFO: Epoch: [207] [ 60/523] learning_rate: 0.061385 loss_vfl: 0.988723 loss_bbox: 0.425491 loss_dfl: 0.409729 loss: 1.834027 eta: 12:31:54 batch_cost: 0.8661 data_cost: 0.0059 ips: 64.6576 images/s [03/18 20:13:32] ppdet.engine INFO: Epoch: [207] [ 80/523] learning_rate: 0.061339 loss_vfl: 1.038930 loss_bbox: 0.447768 loss_dfl: 0.423684 loss: 1.911609 eta: 12:31:34 batch_cost: 0.7623 data_cost: 0.0234 ips: 73.4591 images/s [03/18 20:13:55] ppdet.engine INFO: Epoch: [207] [100/523] learning_rate: 0.061292 loss_vfl: 1.040615 loss_bbox: 0.440128 loss_dfl: 0.420777 loss: 1.886734 eta: 12:31:16 batch_cost: 0.9915 data_cost: 0.0158 ips: 56.4784 images/s [03/18 20:14:17] ppdet.engine INFO: Epoch: [207] [120/523] learning_rate: 0.061246 loss_vfl: 1.072518 loss_bbox: 0.461405 loss_dfl: 0.431106 loss: 1.968767 eta: 12:30:58 batch_cost: 0.9765 data_cost: 0.1092 ips: 57.3451 images/s [03/18 20:14:38] ppdet.engine INFO: Epoch: [207] [140/523] learning_rate: 0.061199 loss_vfl: 1.026650 loss_bbox: 0.451286 loss_dfl: 0.415706 loss: 1.884073 eta: 12:30:39 batch_cost: 0.8545 data_cost: 0.0028 ips: 65.5380 images/s [03/18 20:14:56] ppdet.engine INFO: Epoch: [207] [160/523] learning_rate: 0.061153 loss_vfl: 1.037445 loss_bbox: 0.461663 loss_dfl: 0.421530 loss: 1.924345 eta: 12:30:19 batch_cost: 0.7994 data_cost: 0.0017 ips: 70.0522 images/s [03/18 20:15:20] ppdet.engine INFO: Epoch: [207] [180/523] learning_rate: 0.061106 loss_vfl: 0.995550 loss_bbox: 0.445747 loss_dfl: 0.406943 loss: 1.842049 eta: 12:30:02 batch_cost: 1.0504 data_cost: 0.0020 ips: 53.3119 images/s [03/18 20:15:38] ppdet.engine INFO: Epoch: [207] [200/523] learning_rate: 0.061060 loss_vfl: 1.035982 loss_bbox: 0.473191 loss_dfl: 0.443767 loss: 1.971915 eta: 12:29:42 batch_cost: 0.7561 data_cost: 0.0064 ips: 74.0629 images/s [03/18 20:16:00] ppdet.engine INFO: Epoch: [207] [220/523] learning_rate: 0.061014 loss_vfl: 0.992392 loss_bbox: 0.446095 loss_dfl: 0.412161 loss: 1.859067 eta: 12:29:23 batch_cost: 0.9249 data_cost: 0.0233 ips: 60.5488 images/s [03/18 20:16:21] ppdet.engine INFO: Epoch: [207] [240/523] learning_rate: 0.060967 loss_vfl: 1.030122 loss_bbox: 0.445780 loss_dfl: 0.425479 loss: 1.924070 eta: 12:29:04 batch_cost: 0.8913 data_cost: 0.0052 ips: 62.8305 images/s [03/18 20:16:42] ppdet.engine INFO: Epoch: [207] [260/523] learning_rate: 0.060921 loss_vfl: 1.017793 loss_bbox: 0.458652 loss_dfl: 0.428307 loss: 1.905488 eta: 12:28:46 batch_cost: 0.9410 data_cost: 0.0028 ips: 59.5105 images/s [03/18 20:16:57] ppdet.engine INFO: Epoch: [207] [280/523] learning_rate: 0.060874 loss_vfl: 1.044619 loss_bbox: 0.457283 loss_dfl: 0.429073 loss: 1.895669 eta: 12:28:25 batch_cost: 0.6324 data_cost: 0.0041 ips: 88.5545 images/s [03/18 20:17:15] ppdet.engine INFO: Epoch: [207] [300/523] learning_rate: 0.060828 loss_vfl: 1.001702 loss_bbox: 0.443792 loss_dfl: 0.416312 loss: 1.879977 eta: 12:28:04 batch_cost: 0.7431 data_cost: 0.0368 ips: 75.3586 images/s [03/18 20:17:36] ppdet.engine INFO: Epoch: [207] [320/523] learning_rate: 0.060782 loss_vfl: 1.025269 loss_bbox: 0.449971 loss_dfl: 0.426152 loss: 1.895798 eta: 12:27:46 batch_cost: 0.9200 data_cost: 0.1034 ips: 60.8722 images/s [03/18 20:17:58] ppdet.engine INFO: Epoch: [207] [340/523] learning_rate: 0.060736 loss_vfl: 1.069312 loss_bbox: 0.470285 loss_dfl: 0.433039 loss: 1.957197 eta: 12:27:27 batch_cost: 0.9133 data_cost: 0.0538 ips: 61.3190 images/s [03/18 20:18:16] ppdet.engine INFO: Epoch: [207] [360/523] learning_rate: 0.060689 loss_vfl: 1.054303 loss_bbox: 0.467027 loss_dfl: 0.447891 loss: 2.013706 eta: 12:27:07 batch_cost: 0.8057 data_cost: 0.0486 ips: 69.5086 images/s [03/18 20:18:38] ppdet.engine INFO: Epoch: [207] [380/523] learning_rate: 0.060643 loss_vfl: 1.017689 loss_bbox: 0.459001 loss_dfl: 0.420523 loss: 1.887514 eta: 12:26:50 batch_cost: 1.0493 data_cost: 0.0878 ips: 53.3671 images/s [03/18 20:18:58] ppdet.engine INFO: Epoch: [207] [400/523] learning_rate: 0.060597 loss_vfl: 0.986272 loss_bbox: 0.430619 loss_dfl: 0.412716 loss: 1.829726 eta: 12:26:31 batch_cost: 0.8605 data_cost: 0.0081 ips: 65.0784 images/s [03/18 20:19:20] ppdet.engine INFO: Epoch: [207] [420/523] learning_rate: 0.060550 loss_vfl: 0.934051 loss_bbox: 0.407137 loss_dfl: 0.387660 loss: 1.740131 eta: 12:26:12 batch_cost: 0.9677 data_cost: 0.0074 ips: 57.8675 images/s [03/18 20:19:40] ppdet.engine INFO: Epoch: [207] [440/523] learning_rate: 0.060504 loss_vfl: 1.062707 loss_bbox: 0.468362 loss_dfl: 0.438548 loss: 1.964398 eta: 12:25:53 batch_cost: 0.8131 data_cost: 0.0033 ips: 68.8743 images/s [03/18 20:20:00] ppdet.engine INFO: Epoch: [207] [460/523] learning_rate: 0.060458 loss_vfl: 1.035414 loss_bbox: 0.469096 loss_dfl: 0.448512 loss: 1.965842 eta: 12:25:34 batch_cost: 0.9151 data_cost: 0.0108 ips: 61.1983 images/s [03/18 20:20:22] ppdet.engine INFO: Epoch: [207] [480/523] learning_rate: 0.060412 loss_vfl: 1.051480 loss_bbox: 0.442936 loss_dfl: 0.426188 loss: 1.910850 eta: 12:25:16 batch_cost: 0.9744 data_cost: 0.0575 ips: 57.4685 images/s [03/18 20:20:42] ppdet.engine INFO: Epoch: [207] [500/523] learning_rate: 0.060366 loss_vfl: 1.006238 loss_bbox: 0.458192 loss_dfl: 0.421681 loss: 1.869997 eta: 12:24:57 batch_cost: 0.8643 data_cost: 0.0043 ips: 64.7949 images/s [03/18 20:21:00] ppdet.engine INFO: Epoch: [207] [520/523] learning_rate: 0.060319 loss_vfl: 1.005915 loss_bbox: 0.462611 loss_dfl: 0.426600 loss: 1.923188 eta: 12:24:37 batch_cost: 0.7385 data_cost: 0.0080 ips: 75.8266 images/s [03/18 20:21:11] ppdet.engine INFO: Epoch: [208] [ 0/523] learning_rate: 0.060312 loss_vfl: 1.028600 loss_bbox: 0.456708 loss_dfl: 0.421485 loss: 1.923188 eta: 12:24:37 batch_cost: 1.1257 data_cost: 0.3576 ips: 49.7471 images/s [03/18 20:21:38] ppdet.engine INFO: Epoch: [208] [ 20/523] learning_rate: 0.060266 loss_vfl: 1.010902 loss_bbox: 0.447122 loss_dfl: 0.428969 loss: 1.901543 eta: 12:24:20 batch_cost: 1.1572 data_cost: 0.0470 ips: 48.3910 images/s [03/18 20:21:55] ppdet.engine INFO: Epoch: [208] [ 40/523] learning_rate: 0.060220 loss_vfl: 1.032776 loss_bbox: 0.466104 loss_dfl: 0.439710 loss: 1.944916 eta: 12:24:00 batch_cost: 0.7052 data_cost: 0.0053 ips: 79.4093 images/s [03/18 20:22:14] ppdet.engine INFO: Epoch: [208] [ 60/523] learning_rate: 0.060174 loss_vfl: 1.050226 loss_bbox: 0.474294 loss_dfl: 0.436618 loss: 1.944508 eta: 12:23:40 batch_cost: 0.7957 data_cost: 0.0027 ips: 70.3785 images/s [03/18 20:22:36] ppdet.engine INFO: Epoch: [208] [ 80/523] learning_rate: 0.060128 loss_vfl: 1.002500 loss_bbox: 0.445957 loss_dfl: 0.426582 loss: 1.881557 eta: 12:23:21 batch_cost: 0.9130 data_cost: 0.0097 ips: 61.3329 images/s [03/18 20:22:59] ppdet.engine INFO: Epoch: [208] [100/523] learning_rate: 0.060082 loss_vfl: 1.040177 loss_bbox: 0.470600 loss_dfl: 0.436296 loss: 1.939855 eta: 12:23:03 batch_cost: 0.9684 data_cost: 0.0044 ips: 57.8251 images/s [03/18 20:23:22] ppdet.engine INFO: Epoch: [208] [120/523] learning_rate: 0.060036 loss_vfl: 1.027287 loss_bbox: 0.447419 loss_dfl: 0.426783 loss: 1.886073 eta: 12:22:45 batch_cost: 0.9889 data_cost: 0.0028 ips: 56.6275 images/s [03/18 20:23:45] ppdet.engine INFO: Epoch: [208] [140/523] learning_rate: 0.059989 loss_vfl: 1.057809 loss_bbox: 0.465481 loss_dfl: 0.446527 loss: 1.952495 eta: 12:22:27 batch_cost: 0.9974 data_cost: 0.0082 ips: 56.1448 images/s [03/18 20:24:09] ppdet.engine INFO: Epoch: [208] [160/523] learning_rate: 0.059943 loss_vfl: 1.045049 loss_bbox: 0.477110 loss_dfl: 0.451791 loss: 1.973971 eta: 12:22:09 batch_cost: 0.9855 data_cost: 0.0077 ips: 56.8235 images/s [03/18 20:24:32] ppdet.engine INFO: Epoch: [208] [180/523] learning_rate: 0.059897 loss_vfl: 1.037133 loss_bbox: 0.450295 loss_dfl: 0.418593 loss: 1.896100 eta: 12:21:51 batch_cost: 1.0233 data_cost: 0.0534 ips: 54.7275 images/s [03/18 20:24:55] ppdet.engine INFO: Epoch: [208] [200/523] learning_rate: 0.059851 loss_vfl: 0.989472 loss_bbox: 0.441349 loss_dfl: 0.407805 loss: 1.827832 eta: 12:21:33 batch_cost: 0.9406 data_cost: 0.0060 ips: 59.5360 images/s [03/18 20:25:18] ppdet.engine INFO: Epoch: [208] [220/523] learning_rate: 0.059805 loss_vfl: 1.038498 loss_bbox: 0.446973 loss_dfl: 0.424028 loss: 1.910481 eta: 12:21:14 batch_cost: 0.9659 data_cost: 0.0433 ips: 57.9790 images/s [03/18 20:25:42] ppdet.engine INFO: Epoch: [208] [240/523] learning_rate: 0.059759 loss_vfl: 1.023993 loss_bbox: 0.469200 loss_dfl: 0.438671 loss: 1.960686 eta: 12:20:56 batch_cost: 0.9868 data_cost: 0.1544 ips: 56.7477 images/s [03/18 20:26:03] ppdet.engine INFO: Epoch: [208] [260/523] learning_rate: 0.059713 loss_vfl: 1.023730 loss_bbox: 0.443529 loss_dfl: 0.416777 loss: 1.886867 eta: 12:20:38 batch_cost: 0.9661 data_cost: 0.0428 ips: 57.9680 images/s [03/18 20:26:24] ppdet.engine INFO: Epoch: [208] [280/523] learning_rate: 0.059667 loss_vfl: 0.985050 loss_bbox: 0.433642 loss_dfl: 0.410272 loss: 1.821485 eta: 12:20:18 batch_cost: 0.7865 data_cost: 0.0024 ips: 71.1993 images/s [03/18 20:26:42] ppdet.engine INFO: Epoch: [208] [300/523] learning_rate: 0.059621 loss_vfl: 0.998484 loss_bbox: 0.421996 loss_dfl: 0.414158 loss: 1.817146 eta: 12:19:58 batch_cost: 0.7489 data_cost: 0.0018 ips: 74.7756 images/s [03/18 20:27:03] ppdet.engine INFO: Epoch: [208] [320/523] learning_rate: 0.059575 loss_vfl: 1.032057 loss_bbox: 0.449371 loss_dfl: 0.434630 loss: 1.912515 eta: 12:19:39 batch_cost: 0.8979 data_cost: 0.0108 ips: 62.3701 images/s [03/18 20:27:27] ppdet.engine INFO: Epoch: [208] [340/523] learning_rate: 0.059529 loss_vfl: 0.986295 loss_bbox: 0.437848 loss_dfl: 0.414475 loss: 1.845853 eta: 12:19:21 batch_cost: 0.9358 data_cost: 0.0004 ips: 59.8448 images/s [03/18 20:27:51] ppdet.engine INFO: Epoch: [208] [360/523] learning_rate: 0.059483 loss_vfl: 1.041655 loss_bbox: 0.430947 loss_dfl: 0.421998 loss: 1.886230 eta: 12:19:03 batch_cost: 1.0064 data_cost: 0.0090 ips: 55.6465 images/s [03/18 20:28:12] ppdet.engine INFO: Epoch: [208] [380/523] learning_rate: 0.059437 loss_vfl: 0.981159 loss_bbox: 0.425132 loss_dfl: 0.414884 loss: 1.831150 eta: 12:18:44 batch_cost: 0.9195 data_cost: 0.0064 ips: 60.9048 images/s [03/18 20:28:35] ppdet.engine INFO: Epoch: [208] [400/523] learning_rate: 0.059391 loss_vfl: 1.051089 loss_bbox: 0.455297 loss_dfl: 0.422621 loss: 1.935002 eta: 12:18:27 batch_cost: 1.0215 data_cost: 0.0065 ips: 54.8199 images/s [03/18 20:28:58] ppdet.engine INFO: Epoch: [208] [420/523] learning_rate: 0.059345 loss_vfl: 1.006490 loss_bbox: 0.442059 loss_dfl: 0.425781 loss: 1.902748 eta: 12:18:08 batch_cost: 0.9378 data_cost: 0.0192 ips: 59.7120 images/s [03/18 20:29:21] ppdet.engine INFO: Epoch: [208] [440/523] learning_rate: 0.059299 loss_vfl: 1.042621 loss_bbox: 0.468075 loss_dfl: 0.439718 loss: 1.948695 eta: 12:17:50 batch_cost: 0.9777 data_cost: 0.1679 ips: 57.2751 images/s [03/18 20:29:44] ppdet.engine INFO: Epoch: [208] [460/523] learning_rate: 0.059254 loss_vfl: 1.039778 loss_bbox: 0.445206 loss_dfl: 0.437136 loss: 1.940858 eta: 12:17:32 batch_cost: 0.9776 data_cost: 0.0931 ips: 57.2823 images/s [03/18 20:30:07] ppdet.engine INFO: Epoch: [208] [480/523] learning_rate: 0.059208 loss_vfl: 1.045735 loss_bbox: 0.451767 loss_dfl: 0.427934 loss: 1.914868 eta: 12:17:14 batch_cost: 0.9969 data_cost: 0.1339 ips: 56.1736 images/s [03/18 20:30:29] ppdet.engine INFO: Epoch: [208] [500/523] learning_rate: 0.059162 loss_vfl: 1.103492 loss_bbox: 0.485810 loss_dfl: 0.453869 loss: 2.069157 eta: 12:16:55 batch_cost: 0.8768 data_cost: 0.1312 ips: 63.8687 images/s [03/18 20:30:45] ppdet.engine INFO: Epoch: [208] [520/523] learning_rate: 0.059116 loss_vfl: 0.988312 loss_bbox: 0.433012 loss_dfl: 0.402615 loss: 1.811086 eta: 12:16:34 batch_cost: 0.7249 data_cost: 0.0370 ips: 77.2504 images/s [03/18 20:30:57] ppdet.engine INFO: Epoch: [209] [ 0/523] learning_rate: 0.059109 loss_vfl: 0.986372 loss_bbox: 0.433157 loss_dfl: 0.411093 loss: 1.821941 eta: 12:16:35 batch_cost: 1.1033 data_cost: 0.4834 ips: 50.7558 images/s [03/18 20:31:16] ppdet.engine INFO: Epoch: [209] [ 20/523] learning_rate: 0.059063 loss_vfl: 1.007054 loss_bbox: 0.446591 loss_dfl: 0.424600 loss: 1.900169 eta: 12:16:15 batch_cost: 0.8265 data_cost: 0.0043 ips: 67.7538 images/s [03/18 20:31:40] ppdet.engine INFO: Epoch: [209] [ 40/523] learning_rate: 0.059017 loss_vfl: 1.032709 loss_bbox: 0.442672 loss_dfl: 0.423040 loss: 1.910878 eta: 12:15:57 batch_cost: 0.9283 data_cost: 0.0255 ips: 60.3275 images/s [03/18 20:32:03] ppdet.engine INFO: Epoch: [209] [ 60/523] learning_rate: 0.058972 loss_vfl: 0.971360 loss_bbox: 0.419195 loss_dfl: 0.413566 loss: 1.827362 eta: 12:15:39 batch_cost: 0.9793 data_cost: 0.0038 ips: 57.1840 images/s [03/18 20:32:29] ppdet.engine INFO: Epoch: [209] [ 80/523] learning_rate: 0.058926 loss_vfl: 1.024615 loss_bbox: 0.450428 loss_dfl: 0.431890 loss: 1.904759 eta: 12:15:21 batch_cost: 0.9666 data_cost: 0.0187 ips: 57.9339 images/s [03/18 20:32:51] ppdet.engine INFO: Epoch: [209] [100/523] learning_rate: 0.058880 loss_vfl: 1.011775 loss_bbox: 0.445160 loss_dfl: 0.416295 loss: 1.878550 eta: 12:15:01 batch_cost: 0.8647 data_cost: 0.0057 ips: 64.7660 images/s [03/18 20:33:13] ppdet.engine INFO: Epoch: [209] [120/523] learning_rate: 0.058834 loss_vfl: 1.039245 loss_bbox: 0.490860 loss_dfl: 0.440801 loss: 1.979122 eta: 12:14:43 batch_cost: 0.9004 data_cost: 0.0034 ips: 62.1916 images/s [03/18 20:33:37] ppdet.engine INFO: Epoch: [209] [140/523] learning_rate: 0.058788 loss_vfl: 0.947929 loss_bbox: 0.418686 loss_dfl: 0.405387 loss: 1.777481 eta: 12:14:25 batch_cost: 1.0236 data_cost: 0.0040 ips: 54.7074 images/s [03/18 20:34:01] ppdet.engine INFO: Epoch: [209] [160/523] learning_rate: 0.058743 loss_vfl: 0.988323 loss_bbox: 0.437659 loss_dfl: 0.417487 loss: 1.832494 eta: 12:14:07 batch_cost: 0.9615 data_cost: 0.0066 ips: 58.2432 images/s [03/18 20:34:24] ppdet.engine INFO: Epoch: [209] [180/523] learning_rate: 0.058697 loss_vfl: 1.051569 loss_bbox: 0.455629 loss_dfl: 0.433324 loss: 1.950717 eta: 12:13:49 batch_cost: 1.0493 data_cost: 0.0039 ips: 53.3705 images/s [03/18 20:34:43] ppdet.engine INFO: Epoch: [209] [200/523] learning_rate: 0.058651 loss_vfl: 1.034403 loss_bbox: 0.474436 loss_dfl: 0.448860 loss: 1.978598 eta: 12:13:29 batch_cost: 0.7796 data_cost: 0.0028 ips: 71.8301 images/s [03/18 20:35:09] ppdet.engine INFO: Epoch: [209] [220/523] learning_rate: 0.058606 loss_vfl: 1.014496 loss_bbox: 0.456840 loss_dfl: 0.422246 loss: 1.910004 eta: 12:13:13 batch_cost: 1.1726 data_cost: 0.2277 ips: 47.7565 images/s [03/18 20:35:27] ppdet.engine INFO: Epoch: [209] [240/523] learning_rate: 0.058560 loss_vfl: 0.995496 loss_bbox: 0.451895 loss_dfl: 0.422702 loss: 1.881574 eta: 12:12:53 batch_cost: 0.7732 data_cost: 0.0066 ips: 72.4216 images/s [03/18 20:35:45] ppdet.engine INFO: Epoch: [209] [260/523] learning_rate: 0.058514 loss_vfl: 1.039512 loss_bbox: 0.464963 loss_dfl: 0.437155 loss: 1.931116 eta: 12:12:33 batch_cost: 0.7629 data_cost: 0.0016 ips: 73.4057 images/s [03/18 20:36:09] ppdet.engine INFO: Epoch: [209] [280/523] learning_rate: 0.058469 loss_vfl: 1.074896 loss_bbox: 0.456223 loss_dfl: 0.430484 loss: 1.974356 eta: 12:12:15 batch_cost: 1.0400 data_cost: 0.0150 ips: 53.8480 images/s [03/18 20:36:32] ppdet.engine INFO: Epoch: [209] [300/523] learning_rate: 0.058423 loss_vfl: 1.020952 loss_bbox: 0.443298 loss_dfl: 0.421428 loss: 1.898565 eta: 12:11:57 batch_cost: 0.9197 data_cost: 0.0029 ips: 60.8863 images/s [03/18 20:36:54] ppdet.engine INFO: Epoch: [209] [320/523] learning_rate: 0.058377 loss_vfl: 1.021121 loss_bbox: 0.443202 loss_dfl: 0.419989 loss: 1.858333 eta: 12:11:38 batch_cost: 0.9229 data_cost: 0.0037 ips: 60.6813 images/s [03/18 20:37:18] ppdet.engine INFO: Epoch: [209] [340/523] learning_rate: 0.058332 loss_vfl: 0.963416 loss_bbox: 0.425492 loss_dfl: 0.389985 loss: 1.772894 eta: 12:11:20 batch_cost: 0.9998 data_cost: 0.0046 ips: 56.0095 images/s [03/18 20:37:40] ppdet.engine INFO: Epoch: [209] [360/523] learning_rate: 0.058286 loss_vfl: 0.996545 loss_bbox: 0.450576 loss_dfl: 0.414689 loss: 1.873937 eta: 12:11:02 batch_cost: 0.9462 data_cost: 0.0061 ips: 59.1841 images/s [03/18 20:38:03] ppdet.engine INFO: Epoch: [209] [380/523] learning_rate: 0.058240 loss_vfl: 1.020599 loss_bbox: 0.457056 loss_dfl: 0.422664 loss: 1.886352 eta: 12:10:43 batch_cost: 0.9471 data_cost: 0.0032 ips: 59.1300 images/s [03/18 20:38:25] ppdet.engine INFO: Epoch: [209] [400/523] learning_rate: 0.058195 loss_vfl: 1.004244 loss_bbox: 0.448270 loss_dfl: 0.416166 loss: 1.883715 eta: 12:10:25 batch_cost: 1.0133 data_cost: 0.0038 ips: 55.2650 images/s [03/18 20:38:49] ppdet.engine INFO: Epoch: [209] [420/523] learning_rate: 0.058149 loss_vfl: 1.020345 loss_bbox: 0.448503 loss_dfl: 0.429150 loss: 1.903143 eta: 12:10:07 batch_cost: 0.9974 data_cost: 0.0025 ips: 56.1434 images/s [03/18 20:39:11] ppdet.engine INFO: Epoch: [209] [440/523] learning_rate: 0.058104 loss_vfl: 0.998980 loss_bbox: 0.432162 loss_dfl: 0.415087 loss: 1.836029 eta: 12:09:49 batch_cost: 0.9304 data_cost: 0.0074 ips: 60.1867 images/s [03/18 20:39:33] ppdet.engine INFO: Epoch: [209] [460/523] learning_rate: 0.058058 loss_vfl: 1.013639 loss_bbox: 0.438373 loss_dfl: 0.428458 loss: 1.901609 eta: 12:09:31 batch_cost: 0.9726 data_cost: 0.0051 ips: 57.5777 images/s [03/18 20:39:52] ppdet.engine INFO: Epoch: [209] [480/523] learning_rate: 0.058013 loss_vfl: 0.993382 loss_bbox: 0.435754 loss_dfl: 0.415006 loss: 1.855732 eta: 12:09:11 batch_cost: 0.7652 data_cost: 0.0118 ips: 73.1868 images/s [03/18 20:40:11] ppdet.engine INFO: Epoch: [209] [500/523] learning_rate: 0.057967 loss_vfl: 1.041737 loss_bbox: 0.456214 loss_dfl: 0.430854 loss: 1.919791 eta: 12:08:51 batch_cost: 0.7962 data_cost: 0.0074 ips: 70.3330 images/s [03/18 20:40:28] ppdet.engine INFO: Epoch: [209] [520/523] learning_rate: 0.057922 loss_vfl: 0.982599 loss_bbox: 0.432872 loss_dfl: 0.415984 loss: 1.815227 eta: 12:08:30 batch_cost: 0.7183 data_cost: 0.0090 ips: 77.9604 images/s [03/18 20:40:31] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 20:40:31] ppdet.engine INFO: Eval iter: 0 [03/18 20:40:53] ppdet.engine INFO: Eval iter: 100 [03/18 20:41:03] ppdet.engine INFO: Eval iter: 200 [03/18 20:41:12] ppdet.engine INFO: Eval iter: 300 [03/18 20:41:23] ppdet.engine INFO: Eval iter: 400 [03/18 20:41:32] ppdet.engine INFO: Eval iter: 500 [03/18 20:41:43] ppdet.engine INFO: Eval iter: 600 [03/18 20:41:57] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.90s) creating index... index created! [03/18 20:41:58] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.53s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=85.28s). Accumulating evaluation results... DONE (t=15.49s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.246 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.374 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.085 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.252 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 ] = 0.250 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.404 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.431 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.158 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.477 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.682 [03/18 20:43:45] ppdet.engine INFO: Total sample number: 4952, averge FPS: 66.38972322481207 [03/18 20:43:45] ppdet.engine INFO: Best test bbox ap is 0.246. [03/18 20:43:45] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 20:43:46] ppdet.engine INFO: Epoch: [210] [ 0/523] learning_rate: 0.057915 loss_vfl: 0.992993 loss_bbox: 0.439597 loss_dfl: 0.418180 loss: 1.833328 eta: 12:08:27 batch_cost: 0.6217 data_cost: 0.0015 ips: 90.0711 images/s [03/18 20:44:03] ppdet.engine INFO: Epoch: [210] [ 20/523] learning_rate: 0.057869 loss_vfl: 1.076710 loss_bbox: 0.474552 loss_dfl: 0.447937 loss: 1.992921 eta: 12:08:07 batch_cost: 0.7729 data_cost: 0.0057 ips: 72.4527 images/s [03/18 20:44:23] ppdet.engine INFO: Epoch: [210] [ 40/523] learning_rate: 0.057824 loss_vfl: 1.029847 loss_bbox: 0.478084 loss_dfl: 0.436324 loss: 1.979548 eta: 12:07:47 batch_cost: 0.7623 data_cost: 0.0015 ips: 73.4645 images/s [03/18 20:44:45] ppdet.engine INFO: Epoch: [210] [ 60/523] learning_rate: 0.057778 loss_vfl: 1.029094 loss_bbox: 0.440655 loss_dfl: 0.415856 loss: 1.890777 eta: 12:07:28 batch_cost: 0.9024 data_cost: 0.0756 ips: 62.0544 images/s [03/18 20:45:09] ppdet.engine INFO: Epoch: [210] [ 80/523] learning_rate: 0.057733 loss_vfl: 0.951182 loss_bbox: 0.431441 loss_dfl: 0.402400 loss: 1.788860 eta: 12:07:11 batch_cost: 1.0524 data_cost: 0.2567 ips: 53.2128 images/s [03/18 20:45:31] ppdet.engine INFO: Epoch: [210] [100/523] learning_rate: 0.057687 loss_vfl: 0.999135 loss_bbox: 0.440395 loss_dfl: 0.408943 loss: 1.831666 eta: 12:06:52 batch_cost: 0.9653 data_cost: 0.3380 ips: 58.0122 images/s [03/18 20:45:55] ppdet.engine INFO: Epoch: [210] [120/523] learning_rate: 0.057642 loss_vfl: 0.959775 loss_bbox: 0.421850 loss_dfl: 0.400822 loss: 1.789915 eta: 12:06:34 batch_cost: 1.0043 data_cost: 0.1946 ips: 55.7608 images/s [03/18 20:46:19] ppdet.engine INFO: Epoch: [210] [140/523] learning_rate: 0.057596 loss_vfl: 0.997644 loss_bbox: 0.438994 loss_dfl: 0.410473 loss: 1.845315 eta: 12:06:17 batch_cost: 1.0292 data_cost: 0.2531 ips: 54.4122 images/s [03/18 20:46:39] ppdet.engine INFO: Epoch: [210] [160/523] learning_rate: 0.057551 loss_vfl: 0.972127 loss_bbox: 0.447208 loss_dfl: 0.415302 loss: 1.829641 eta: 12:05:57 batch_cost: 0.8326 data_cost: 0.0706 ips: 67.2597 images/s [03/18 20:47:02] ppdet.engine INFO: Epoch: [210] [180/523] learning_rate: 0.057506 loss_vfl: 1.013429 loss_bbox: 0.455640 loss_dfl: 0.434357 loss: 1.871429 eta: 12:05:39 batch_cost: 0.9622 data_cost: 0.1415 ips: 58.2000 images/s [03/18 20:47:26] ppdet.engine INFO: Epoch: [210] [200/523] learning_rate: 0.057460 loss_vfl: 1.044005 loss_bbox: 0.475891 loss_dfl: 0.447636 loss: 1.971546 eta: 12:05:21 batch_cost: 1.0317 data_cost: 0.3222 ips: 54.2805 images/s [03/18 20:47:48] ppdet.engine INFO: Epoch: [210] [220/523] learning_rate: 0.057415 loss_vfl: 1.109913 loss_bbox: 0.478324 loss_dfl: 0.446095 loss: 2.040151 eta: 12:05:03 batch_cost: 0.9774 data_cost: 0.0836 ips: 57.2940 images/s [03/18 20:48:09] ppdet.engine INFO: Epoch: [210] [240/523] learning_rate: 0.057370 loss_vfl: 1.013256 loss_bbox: 0.446942 loss_dfl: 0.416630 loss: 1.875002 eta: 12:04:44 batch_cost: 0.8426 data_cost: 0.0756 ips: 66.4634 images/s [03/18 20:48:29] ppdet.engine INFO: Epoch: [210] [260/523] learning_rate: 0.057324 loss_vfl: 0.974828 loss_bbox: 0.423453 loss_dfl: 0.407772 loss: 1.812228 eta: 12:04:25 batch_cost: 0.8371 data_cost: 0.1188 ips: 66.8984 images/s [03/18 20:48:47] ppdet.engine INFO: Epoch: [210] [280/523] learning_rate: 0.057279 loss_vfl: 1.001269 loss_bbox: 0.437316 loss_dfl: 0.414315 loss: 1.880423 eta: 12:04:05 batch_cost: 0.7658 data_cost: 0.1162 ips: 73.1249 images/s [03/18 20:49:08] ppdet.engine INFO: Epoch: [210] [300/523] learning_rate: 0.057234 loss_vfl: 1.028997 loss_bbox: 0.460556 loss_dfl: 0.433528 loss: 1.913538 eta: 12:03:46 batch_cost: 0.8995 data_cost: 0.1835 ips: 62.2564 images/s [03/18 20:49:33] ppdet.engine INFO: Epoch: [210] [320/523] learning_rate: 0.057188 loss_vfl: 1.009423 loss_bbox: 0.472953 loss_dfl: 0.428145 loss: 1.907218 eta: 12:03:29 batch_cost: 1.1245 data_cost: 0.4984 ips: 49.7981 images/s [03/18 20:49:55] ppdet.engine INFO: Epoch: [210] [340/523] learning_rate: 0.057143 loss_vfl: 0.989873 loss_bbox: 0.435932 loss_dfl: 0.419844 loss: 1.837010 eta: 12:03:10 batch_cost: 0.9353 data_cost: 0.1873 ips: 59.8712 images/s [03/18 20:50:18] ppdet.engine INFO: Epoch: [210] [360/523] learning_rate: 0.057098 loss_vfl: 1.023688 loss_bbox: 0.457434 loss_dfl: 0.429647 loss: 1.926448 eta: 12:02:52 batch_cost: 0.9378 data_cost: 0.1944 ips: 59.7171 images/s [03/18 20:50:41] ppdet.engine INFO: Epoch: [210] [380/523] learning_rate: 0.057053 loss_vfl: 1.028259 loss_bbox: 0.468648 loss_dfl: 0.432100 loss: 1.933353 eta: 12:02:34 batch_cost: 0.9681 data_cost: 0.2460 ips: 57.8454 images/s [03/18 20:51:03] ppdet.engine INFO: Epoch: [210] [400/523] learning_rate: 0.057007 loss_vfl: 0.998230 loss_bbox: 0.453426 loss_dfl: 0.419014 loss: 1.857394 eta: 12:02:15 batch_cost: 0.8956 data_cost: 0.1172 ips: 62.5286 images/s [03/18 20:51:24] ppdet.engine INFO: Epoch: [210] [420/523] learning_rate: 0.056962 loss_vfl: 0.990196 loss_bbox: 0.429796 loss_dfl: 0.409888 loss: 1.854223 eta: 12:01:56 batch_cost: 0.9353 data_cost: 0.1211 ips: 59.8736 images/s [03/18 20:51:49] ppdet.engine INFO: Epoch: [210] [440/523] learning_rate: 0.056917 loss_vfl: 1.031509 loss_bbox: 0.432311 loss_dfl: 0.428408 loss: 1.900211 eta: 12:01:39 batch_cost: 1.1057 data_cost: 0.4111 ips: 50.6488 images/s [03/18 20:52:09] ppdet.engine INFO: Epoch: [210] [460/523] learning_rate: 0.056872 loss_vfl: 0.991076 loss_bbox: 0.428658 loss_dfl: 0.411908 loss: 1.798355 eta: 12:01:20 batch_cost: 0.8034 data_cost: 0.0090 ips: 69.7075 images/s [03/18 20:52:34] ppdet.engine INFO: Epoch: [210] [480/523] learning_rate: 0.056826 loss_vfl: 1.026655 loss_bbox: 0.446330 loss_dfl: 0.427615 loss: 1.887654 eta: 12:01:02 batch_cost: 1.0518 data_cost: 0.2243 ips: 53.2410 images/s [03/18 20:52:52] ppdet.engine INFO: Epoch: [210] [500/523] learning_rate: 0.056781 loss_vfl: 0.977206 loss_bbox: 0.416781 loss_dfl: 0.413388 loss: 1.809016 eta: 12:00:42 batch_cost: 0.7456 data_cost: 0.1036 ips: 75.1072 images/s [03/18 20:53:08] ppdet.engine INFO: Epoch: [210] [520/523] learning_rate: 0.056736 loss_vfl: 1.024845 loss_bbox: 0.445761 loss_dfl: 0.427746 loss: 1.897425 eta: 12:00:21 batch_cost: 0.6596 data_cost: 0.0760 ips: 84.8994 images/s [03/18 20:53:20] ppdet.engine INFO: Epoch: [211] [ 0/523] learning_rate: 0.056729 loss_vfl: 1.035058 loss_bbox: 0.456934 loss_dfl: 0.432616 loss: 1.925127 eta: 12:00:22 batch_cost: 1.0827 data_cost: 0.5041 ips: 51.7242 images/s [03/18 20:53:44] ppdet.engine INFO: Epoch: [211] [ 20/523] learning_rate: 0.056684 loss_vfl: 0.968483 loss_bbox: 0.429185 loss_dfl: 0.396776 loss: 1.777786 eta: 12:00:03 batch_cost: 0.9562 data_cost: 0.0010 ips: 58.5641 images/s [03/18 20:54:08] ppdet.engine INFO: Epoch: [211] [ 40/523] learning_rate: 0.056639 loss_vfl: 0.996083 loss_bbox: 0.430825 loss_dfl: 0.420856 loss: 1.853895 eta: 11:59:45 batch_cost: 1.0275 data_cost: 0.0034 ips: 54.4993 images/s [03/18 20:54:30] ppdet.engine INFO: Epoch: [211] [ 60/523] learning_rate: 0.056594 loss_vfl: 1.083365 loss_bbox: 0.441134 loss_dfl: 0.429926 loss: 1.947846 eta: 11:59:26 batch_cost: 0.8504 data_cost: 0.0513 ips: 65.8490 images/s [03/18 20:54:55] ppdet.engine INFO: Epoch: [211] [ 80/523] learning_rate: 0.056549 loss_vfl: 1.003664 loss_bbox: 0.423041 loss_dfl: 0.412885 loss: 1.836177 eta: 11:59:08 batch_cost: 0.9833 data_cost: 0.1665 ips: 56.9503 images/s [03/18 20:55:20] ppdet.engine INFO: Epoch: [211] [100/523] learning_rate: 0.056504 loss_vfl: 0.986543 loss_bbox: 0.458524 loss_dfl: 0.421489 loss: 1.845475 eta: 11:58:51 batch_cost: 1.1016 data_cost: 0.3722 ips: 50.8348 images/s [03/18 20:55:42] ppdet.engine INFO: Epoch: [211] [120/523] learning_rate: 0.056459 loss_vfl: 1.028022 loss_bbox: 0.458898 loss_dfl: 0.428481 loss: 1.911221 eta: 11:58:32 batch_cost: 0.8928 data_cost: 0.0658 ips: 62.7241 images/s [03/18 20:56:08] ppdet.engine INFO: Epoch: [211] [140/523] learning_rate: 0.056414 loss_vfl: 1.016284 loss_bbox: 0.459379 loss_dfl: 0.431100 loss: 1.903094 eta: 11:58:15 batch_cost: 1.0761 data_cost: 0.1913 ips: 52.0374 images/s [03/18 20:56:32] ppdet.engine INFO: Epoch: [211] [160/523] learning_rate: 0.056369 loss_vfl: 0.988869 loss_bbox: 0.425224 loss_dfl: 0.406369 loss: 1.825147 eta: 11:57:57 batch_cost: 1.0232 data_cost: 0.0042 ips: 54.7319 images/s [03/18 20:56:56] ppdet.engine INFO: Epoch: [211] [180/523] learning_rate: 0.056323 loss_vfl: 1.013739 loss_bbox: 0.454006 loss_dfl: 0.439818 loss: 1.953734 eta: 11:57:39 batch_cost: 0.9659 data_cost: 0.0131 ips: 57.9785 images/s [03/18 20:57:17] ppdet.engine INFO: Epoch: [211] [200/523] learning_rate: 0.056278 loss_vfl: 1.052288 loss_bbox: 0.452982 loss_dfl: 0.422233 loss: 1.922174 eta: 11:57:19 batch_cost: 0.8170 data_cost: 0.0070 ips: 68.5400 images/s [03/18 20:57:36] ppdet.engine INFO: Epoch: [211] [220/523] learning_rate: 0.056233 loss_vfl: 0.968051 loss_bbox: 0.433419 loss_dfl: 0.406700 loss: 1.804901 eta: 11:56:59 batch_cost: 0.7808 data_cost: 0.0033 ips: 71.7242 images/s [03/18 20:57:57] ppdet.engine INFO: Epoch: [211] [240/523] learning_rate: 0.056188 loss_vfl: 1.055063 loss_bbox: 0.441774 loss_dfl: 0.435246 loss: 1.924395 eta: 11:56:40 batch_cost: 0.8674 data_cost: 0.0072 ips: 64.5582 images/s [03/18 20:58:21] ppdet.engine INFO: Epoch: [211] [260/523] learning_rate: 0.056143 loss_vfl: 1.015396 loss_bbox: 0.462305 loss_dfl: 0.423513 loss: 1.878165 eta: 11:56:22 batch_cost: 0.9923 data_cost: 0.0050 ips: 56.4319 images/s [03/18 20:58:45] ppdet.engine INFO: Epoch: [211] [280/523] learning_rate: 0.056098 loss_vfl: 1.007514 loss_bbox: 0.436189 loss_dfl: 0.415809 loss: 1.863414 eta: 11:56:05 batch_cost: 1.0353 data_cost: 0.0191 ips: 54.0905 images/s [03/18 20:59:09] ppdet.engine INFO: Epoch: [211] [300/523] learning_rate: 0.056054 loss_vfl: 1.013932 loss_bbox: 0.437595 loss_dfl: 0.414037 loss: 1.869696 eta: 11:55:47 batch_cost: 1.0932 data_cost: 0.0109 ips: 51.2269 images/s [03/18 20:59:30] ppdet.engine INFO: Epoch: [211] [320/523] learning_rate: 0.056009 loss_vfl: 1.036753 loss_bbox: 0.468107 loss_dfl: 0.431841 loss: 1.921164 eta: 11:55:29 batch_cost: 0.9147 data_cost: 0.0042 ips: 61.2221 images/s [03/18 20:59:52] ppdet.engine INFO: Epoch: [211] [340/523] learning_rate: 0.055964 loss_vfl: 0.934074 loss_bbox: 0.409894 loss_dfl: 0.381667 loss: 1.739763 eta: 11:55:10 batch_cost: 0.9168 data_cost: 0.0054 ips: 61.0829 images/s [03/18 21:00:17] ppdet.engine INFO: Epoch: [211] [360/523] learning_rate: 0.055919 loss_vfl: 1.049487 loss_bbox: 0.442763 loss_dfl: 0.417992 loss: 1.893213 eta: 11:54:53 batch_cost: 1.0718 data_cost: 0.0075 ips: 52.2478 images/s [03/18 21:00:40] ppdet.engine INFO: Epoch: [211] [380/523] learning_rate: 0.055874 loss_vfl: 1.028149 loss_bbox: 0.464325 loss_dfl: 0.430043 loss: 1.883003 eta: 11:54:35 batch_cost: 1.0184 data_cost: 0.0060 ips: 54.9886 images/s [03/18 21:01:04] ppdet.engine INFO: Epoch: [211] [400/523] learning_rate: 0.055829 loss_vfl: 0.988438 loss_bbox: 0.443039 loss_dfl: 0.417371 loss: 1.857724 eta: 11:54:17 batch_cost: 0.9957 data_cost: 0.0541 ips: 56.2417 images/s [03/18 21:01:29] ppdet.engine INFO: Epoch: [211] [420/523] learning_rate: 0.055784 loss_vfl: 1.014515 loss_bbox: 0.441198 loss_dfl: 0.417897 loss: 1.890424 eta: 11:53:59 batch_cost: 1.0516 data_cost: 0.0032 ips: 53.2520 images/s [03/18 21:01:47] ppdet.engine INFO: Epoch: [211] [440/523] learning_rate: 0.055739 loss_vfl: 1.027197 loss_bbox: 0.442848 loss_dfl: 0.418799 loss: 1.874445 eta: 11:53:39 batch_cost: 0.7315 data_cost: 0.0090 ips: 76.5602 images/s [03/18 21:02:05] ppdet.engine INFO: Epoch: [211] [460/523] learning_rate: 0.055694 loss_vfl: 1.048757 loss_bbox: 0.474801 loss_dfl: 0.450615 loss: 1.997265 eta: 11:53:19 batch_cost: 0.7822 data_cost: 0.0021 ips: 71.5935 images/s [03/18 21:02:28] ppdet.engine INFO: Epoch: [211] [480/523] learning_rate: 0.055649 loss_vfl: 1.036084 loss_bbox: 0.458391 loss_dfl: 0.429361 loss: 1.932177 eta: 11:53:01 batch_cost: 0.9871 data_cost: 0.0091 ips: 56.7305 images/s [03/18 21:02:51] ppdet.engine INFO: Epoch: [211] [500/523] learning_rate: 0.055605 loss_vfl: 1.006085 loss_bbox: 0.452623 loss_dfl: 0.434972 loss: 1.876351 eta: 11:52:42 batch_cost: 0.8901 data_cost: 0.0132 ips: 62.9116 images/s [03/18 21:03:10] ppdet.engine INFO: Epoch: [211] [520/523] learning_rate: 0.055560 loss_vfl: 0.982089 loss_bbox: 0.431143 loss_dfl: 0.409260 loss: 1.810274 eta: 11:52:23 batch_cost: 0.8234 data_cost: 0.0024 ips: 68.0120 images/s [03/18 21:03:23] ppdet.engine INFO: Epoch: [212] [ 0/523] learning_rate: 0.055553 loss_vfl: 0.985978 loss_bbox: 0.433495 loss_dfl: 0.410170 loss: 1.822850 eta: 11:52:24 batch_cost: 1.3254 data_cost: 0.4685 ips: 42.2506 images/s [03/18 21:03:45] ppdet.engine INFO: Epoch: [212] [ 20/523] learning_rate: 0.055508 loss_vfl: 1.011183 loss_bbox: 0.456041 loss_dfl: 0.434142 loss: 1.909552 eta: 11:52:05 batch_cost: 0.9405 data_cost: 0.0016 ips: 59.5419 images/s [03/18 21:04:07] ppdet.engine INFO: Epoch: [212] [ 40/523] learning_rate: 0.055464 loss_vfl: 1.064348 loss_bbox: 0.451058 loss_dfl: 0.429682 loss: 1.953037 eta: 11:51:47 batch_cost: 0.9454 data_cost: 0.0895 ips: 59.2348 images/s [03/18 21:04:30] ppdet.engine INFO: Epoch: [212] [ 60/523] learning_rate: 0.055419 loss_vfl: 1.011926 loss_bbox: 0.455609 loss_dfl: 0.425652 loss: 1.887590 eta: 11:51:28 batch_cost: 0.9080 data_cost: 0.0079 ips: 61.6774 images/s [03/18 21:04:53] ppdet.engine INFO: Epoch: [212] [ 80/523] learning_rate: 0.055374 loss_vfl: 1.014269 loss_bbox: 0.448377 loss_dfl: 0.416533 loss: 1.889448 eta: 11:51:11 batch_cost: 1.0505 data_cost: 0.1836 ips: 53.3079 images/s [03/18 21:05:12] ppdet.engine INFO: Epoch: [212] [100/523] learning_rate: 0.055329 loss_vfl: 0.955851 loss_bbox: 0.408732 loss_dfl: 0.393945 loss: 1.785493 eta: 11:50:51 batch_cost: 0.8113 data_cost: 0.1119 ips: 69.0210 images/s [03/18 21:05:34] ppdet.engine INFO: Epoch: [212] [120/523] learning_rate: 0.055285 loss_vfl: 0.998160 loss_bbox: 0.438768 loss_dfl: 0.414595 loss: 1.863547 eta: 11:50:33 batch_cost: 0.9503 data_cost: 0.1517 ips: 58.9304 images/s [03/18 21:05:57] ppdet.engine INFO: Epoch: [212] [140/523] learning_rate: 0.055240 loss_vfl: 1.049038 loss_bbox: 0.475776 loss_dfl: 0.450829 loss: 1.962680 eta: 11:50:15 batch_cost: 1.0184 data_cost: 0.1290 ips: 54.9863 images/s [03/18 21:06:17] ppdet.engine INFO: Epoch: [212] [160/523] learning_rate: 0.055195 loss_vfl: 1.063433 loss_bbox: 0.469330 loss_dfl: 0.441097 loss: 1.960161 eta: 11:49:55 batch_cost: 0.7787 data_cost: 0.1620 ips: 71.9108 images/s [03/18 21:06:36] ppdet.engine INFO: Epoch: [212] [180/523] learning_rate: 0.055150 loss_vfl: 1.012546 loss_bbox: 0.435788 loss_dfl: 0.420028 loss: 1.873098 eta: 11:49:36 batch_cost: 0.8312 data_cost: 0.0003 ips: 67.3716 images/s [03/18 21:06:56] ppdet.engine INFO: Epoch: [212] [200/523] learning_rate: 0.055106 loss_vfl: 1.029908 loss_bbox: 0.447506 loss_dfl: 0.434626 loss: 1.905553 eta: 11:49:16 batch_cost: 0.8350 data_cost: 0.0346 ips: 67.0621 images/s [03/18 21:07:15] ppdet.engine INFO: Epoch: [212] [220/523] learning_rate: 0.055061 loss_vfl: 1.049274 loss_bbox: 0.457891 loss_dfl: 0.438706 loss: 1.940502 eta: 11:48:57 batch_cost: 0.8349 data_cost: 0.0527 ips: 67.0762 images/s [03/18 21:07:39] ppdet.engine INFO: Epoch: [212] [240/523] learning_rate: 0.055016 loss_vfl: 1.002843 loss_bbox: 0.443054 loss_dfl: 0.420113 loss: 1.836308 eta: 11:48:39 batch_cost: 1.0637 data_cost: 0.2169 ips: 52.6452 images/s [03/18 21:07:59] ppdet.engine INFO: Epoch: [212] [260/523] learning_rate: 0.054972 loss_vfl: 0.999043 loss_bbox: 0.443405 loss_dfl: 0.408475 loss: 1.860739 eta: 11:48:20 batch_cost: 0.8673 data_cost: 0.0450 ips: 64.5717 images/s [03/18 21:08:22] ppdet.engine INFO: Epoch: [212] [280/523] learning_rate: 0.054927 loss_vfl: 1.056214 loss_bbox: 0.476270 loss_dfl: 0.446009 loss: 1.996028 eta: 11:48:02 batch_cost: 0.9396 data_cost: 0.1448 ips: 59.5989 images/s [03/18 21:08:42] ppdet.engine INFO: Epoch: [212] [300/523] learning_rate: 0.054883 loss_vfl: 1.036587 loss_bbox: 0.464009 loss_dfl: 0.422816 loss: 1.947871 eta: 11:47:42 batch_cost: 0.8305 data_cost: 0.1520 ips: 67.4302 images/s [03/18 21:09:05] ppdet.engine INFO: Epoch: [212] [320/523] learning_rate: 0.054838 loss_vfl: 0.977130 loss_bbox: 0.442199 loss_dfl: 0.403750 loss: 1.812063 eta: 11:47:24 batch_cost: 0.9287 data_cost: 0.0714 ips: 60.3004 images/s [03/18 21:09:25] ppdet.engine INFO: Epoch: [212] [340/523] learning_rate: 0.054793 loss_vfl: 1.013032 loss_bbox: 0.455284 loss_dfl: 0.427876 loss: 1.871249 eta: 11:47:04 batch_cost: 0.8216 data_cost: 0.0822 ips: 68.1572 images/s [03/18 21:09:49] ppdet.engine INFO: Epoch: [212] [360/523] learning_rate: 0.054749 loss_vfl: 1.003853 loss_bbox: 0.428446 loss_dfl: 0.418599 loss: 1.846052 eta: 11:46:47 batch_cost: 1.0512 data_cost: 0.3154 ips: 53.2744 images/s [03/18 21:10:10] ppdet.engine INFO: Epoch: [212] [380/523] learning_rate: 0.054704 loss_vfl: 1.067404 loss_bbox: 0.465705 loss_dfl: 0.449394 loss: 1.974793 eta: 11:46:29 batch_cost: 0.9752 data_cost: 0.1934 ips: 57.4233 images/s [03/18 21:10:32] ppdet.engine INFO: Epoch: [212] [400/523] learning_rate: 0.054660 loss_vfl: 0.979874 loss_bbox: 0.449685 loss_dfl: 0.430544 loss: 1.881413 eta: 11:46:10 batch_cost: 0.9705 data_cost: 0.2414 ips: 57.7039 images/s [03/18 21:10:54] ppdet.engine INFO: Epoch: [212] [420/523] learning_rate: 0.054615 loss_vfl: 0.984968 loss_bbox: 0.439543 loss_dfl: 0.420856 loss: 1.827690 eta: 11:45:52 batch_cost: 0.9584 data_cost: 0.1866 ips: 58.4289 images/s [03/18 21:11:12] ppdet.engine INFO: Epoch: [212] [440/523] learning_rate: 0.054571 loss_vfl: 1.015858 loss_bbox: 0.448587 loss_dfl: 0.420321 loss: 1.880697 eta: 11:45:32 batch_cost: 0.7081 data_cost: 0.0815 ips: 79.0799 images/s [03/18 21:11:29] ppdet.engine INFO: Epoch: [212] [460/523] learning_rate: 0.054526 loss_vfl: 0.994692 loss_bbox: 0.424261 loss_dfl: 0.407852 loss: 1.822757 eta: 11:45:12 batch_cost: 0.7755 data_cost: 0.1360 ips: 72.2142 images/s [03/18 21:11:51] ppdet.engine INFO: Epoch: [212] [480/523] learning_rate: 0.054482 loss_vfl: 1.068276 loss_bbox: 0.442376 loss_dfl: 0.428844 loss: 1.962573 eta: 11:44:54 batch_cost: 0.9501 data_cost: 0.2047 ips: 58.9432 images/s [03/18 21:12:12] ppdet.engine INFO: Epoch: [212] [500/523] learning_rate: 0.054437 loss_vfl: 1.105495 loss_bbox: 0.482354 loss_dfl: 0.452507 loss: 2.059618 eta: 11:44:35 batch_cost: 0.9437 data_cost: 0.1094 ips: 59.3406 images/s [03/18 21:12:30] ppdet.engine INFO: Epoch: [212] [520/523] learning_rate: 0.054393 loss_vfl: 0.992811 loss_bbox: 0.433130 loss_dfl: 0.409797 loss: 1.823351 eta: 11:44:15 batch_cost: 0.7760 data_cost: 0.1096 ips: 72.1692 images/s [03/18 21:12:43] ppdet.engine INFO: Epoch: [213] [ 0/523] learning_rate: 0.054386 loss_vfl: 0.986011 loss_bbox: 0.427918 loss_dfl: 0.404162 loss: 1.801234 eta: 11:44:16 batch_cost: 1.2331 data_cost: 0.5901 ips: 45.4155 images/s [03/18 21:13:04] ppdet.engine INFO: Epoch: [213] [ 20/523] learning_rate: 0.054342 loss_vfl: 1.033460 loss_bbox: 0.458216 loss_dfl: 0.427898 loss: 1.902160 eta: 11:43:58 batch_cost: 0.9178 data_cost: 0.0810 ips: 61.0184 images/s [03/18 21:13:27] ppdet.engine INFO: Epoch: [213] [ 40/523] learning_rate: 0.054297 loss_vfl: 1.008296 loss_bbox: 0.447339 loss_dfl: 0.417962 loss: 1.876684 eta: 11:43:40 batch_cost: 1.0067 data_cost: 0.2441 ips: 55.6248 images/s [03/18 21:13:50] ppdet.engine INFO: Epoch: [213] [ 60/523] learning_rate: 0.054253 loss_vfl: 1.032620 loss_bbox: 0.454754 loss_dfl: 0.425655 loss: 1.909675 eta: 11:43:22 batch_cost: 1.0159 data_cost: 0.0608 ips: 55.1227 images/s [03/18 21:14:10] ppdet.engine INFO: Epoch: [213] [ 80/523] learning_rate: 0.054209 loss_vfl: 1.012423 loss_bbox: 0.448775 loss_dfl: 0.424858 loss: 1.895054 eta: 11:43:03 batch_cost: 0.8891 data_cost: 0.0054 ips: 62.9847 images/s [03/18 21:14:33] ppdet.engine INFO: Epoch: [213] [100/523] learning_rate: 0.054164 loss_vfl: 0.964986 loss_bbox: 0.425554 loss_dfl: 0.400508 loss: 1.780990 eta: 11:42:45 batch_cost: 1.0347 data_cost: 0.2617 ips: 54.1197 images/s [03/18 21:14:54] ppdet.engine INFO: Epoch: [213] [120/523] learning_rate: 0.054120 loss_vfl: 0.971052 loss_bbox: 0.438043 loss_dfl: 0.414594 loss: 1.835423 eta: 11:42:25 batch_cost: 0.7811 data_cost: 0.1058 ips: 71.6922 images/s [03/18 21:15:16] ppdet.engine INFO: Epoch: [213] [140/523] learning_rate: 0.054075 loss_vfl: 1.084242 loss_bbox: 0.469433 loss_dfl: 0.459754 loss: 2.033312 eta: 11:42:07 batch_cost: 0.9364 data_cost: 0.2402 ips: 59.8020 images/s [03/18 21:15:39] ppdet.engine INFO: Epoch: [213] [160/523] learning_rate: 0.054031 loss_vfl: 0.979485 loss_bbox: 0.443590 loss_dfl: 0.409079 loss: 1.819895 eta: 11:41:49 batch_cost: 0.9880 data_cost: 0.3635 ips: 56.6799 images/s [03/18 21:15:55] ppdet.engine INFO: Epoch: [213] [180/523] learning_rate: 0.053987 loss_vfl: 0.952598 loss_bbox: 0.416610 loss_dfl: 0.401168 loss: 1.803687 eta: 11:41:29 batch_cost: 0.7136 data_cost: 0.0030 ips: 78.4744 images/s [03/18 21:16:14] ppdet.engine INFO: Epoch: [213] [200/523] learning_rate: 0.053942 loss_vfl: 1.025527 loss_bbox: 0.450383 loss_dfl: 0.413558 loss: 1.884380 eta: 11:41:09 batch_cost: 0.8017 data_cost: 0.1293 ips: 69.8558 images/s [03/18 21:16:38] ppdet.engine INFO: Epoch: [213] [220/523] learning_rate: 0.053898 loss_vfl: 1.002101 loss_bbox: 0.445197 loss_dfl: 0.417860 loss: 1.871585 eta: 11:40:51 batch_cost: 1.0551 data_cost: 0.2077 ips: 53.0775 images/s [03/18 21:16:58] ppdet.engine INFO: Epoch: [213] [240/523] learning_rate: 0.053854 loss_vfl: 0.998108 loss_bbox: 0.455309 loss_dfl: 0.420886 loss: 1.877515 eta: 11:40:32 batch_cost: 0.8927 data_cost: 0.1044 ips: 62.7331 images/s [03/18 21:17:20] ppdet.engine INFO: Epoch: [213] [260/523] learning_rate: 0.053810 loss_vfl: 0.966977 loss_bbox: 0.418959 loss_dfl: 0.406276 loss: 1.786414 eta: 11:40:14 batch_cost: 0.9641 data_cost: 0.2127 ips: 58.0855 images/s [03/18 21:17:43] ppdet.engine INFO: Epoch: [213] [280/523] learning_rate: 0.053765 loss_vfl: 1.001236 loss_bbox: 0.443660 loss_dfl: 0.425541 loss: 1.856651 eta: 11:39:56 batch_cost: 0.9501 data_cost: 0.1584 ips: 58.9436 images/s [03/18 21:18:02] ppdet.engine INFO: Epoch: [213] [300/523] learning_rate: 0.053721 loss_vfl: 1.012059 loss_bbox: 0.452544 loss_dfl: 0.425592 loss: 1.895091 eta: 11:39:37 batch_cost: 0.8724 data_cost: 0.0056 ips: 64.1901 images/s [03/18 21:18:26] ppdet.engine INFO: Epoch: [213] [320/523] learning_rate: 0.053677 loss_vfl: 1.048226 loss_bbox: 0.442764 loss_dfl: 0.416286 loss: 1.922715 eta: 11:39:19 batch_cost: 1.0687 data_cost: 0.2523 ips: 52.4014 images/s [03/18 21:18:48] ppdet.engine INFO: Epoch: [213] [340/523] learning_rate: 0.053633 loss_vfl: 0.995087 loss_bbox: 0.454987 loss_dfl: 0.424344 loss: 1.860521 eta: 11:39:01 batch_cost: 0.9538 data_cost: 0.1026 ips: 58.7125 images/s [03/18 21:19:11] ppdet.engine INFO: Epoch: [213] [360/523] learning_rate: 0.053588 loss_vfl: 1.024407 loss_bbox: 0.428104 loss_dfl: 0.417894 loss: 1.871046 eta: 11:38:43 batch_cost: 1.0100 data_cost: 0.1047 ips: 55.4468 images/s [03/18 21:19:30] ppdet.engine INFO: Epoch: [213] [380/523] learning_rate: 0.053544 loss_vfl: 0.955878 loss_bbox: 0.413474 loss_dfl: 0.395691 loss: 1.761391 eta: 11:38:24 batch_cost: 0.8448 data_cost: 0.0267 ips: 66.2843 images/s [03/18 21:19:53] ppdet.engine INFO: Epoch: [213] [400/523] learning_rate: 0.053500 loss_vfl: 1.015721 loss_bbox: 0.454590 loss_dfl: 0.423409 loss: 1.905122 eta: 11:38:06 batch_cost: 0.9650 data_cost: 0.1327 ips: 58.0306 images/s [03/18 21:20:14] ppdet.engine INFO: Epoch: [213] [420/523] learning_rate: 0.053456 loss_vfl: 0.949293 loss_bbox: 0.405778 loss_dfl: 0.397988 loss: 1.743042 eta: 11:37:47 batch_cost: 0.8751 data_cost: 0.0800 ips: 63.9960 images/s [03/18 21:20:31] ppdet.engine INFO: Epoch: [213] [440/523] learning_rate: 0.053412 loss_vfl: 1.039587 loss_bbox: 0.449196 loss_dfl: 0.429765 loss: 1.929502 eta: 11:37:26 batch_cost: 0.6767 data_cost: 0.0485 ips: 82.7561 images/s [03/18 21:20:50] ppdet.engine INFO: Epoch: [213] [460/523] learning_rate: 0.053368 loss_vfl: 1.014843 loss_bbox: 0.456815 loss_dfl: 0.428251 loss: 1.887543 eta: 11:37:07 batch_cost: 0.8254 data_cost: 0.0941 ips: 67.8430 images/s [03/18 21:21:14] ppdet.engine INFO: Epoch: [213] [480/523] learning_rate: 0.053324 loss_vfl: 0.980361 loss_bbox: 0.441548 loss_dfl: 0.408770 loss: 1.802347 eta: 11:36:49 batch_cost: 1.0763 data_cost: 0.2654 ips: 52.0307 images/s [03/18 21:21:35] ppdet.engine INFO: Epoch: [213] [500/523] learning_rate: 0.053279 loss_vfl: 0.987878 loss_bbox: 0.429263 loss_dfl: 0.416431 loss: 1.816144 eta: 11:36:30 batch_cost: 0.8437 data_cost: 0.0625 ips: 66.3749 images/s [03/18 21:21:52] ppdet.engine INFO: Epoch: [213] [520/523] learning_rate: 0.053235 loss_vfl: 1.029868 loss_bbox: 0.445110 loss_dfl: 0.420480 loss: 1.899947 eta: 11:36:09 batch_cost: 0.6321 data_cost: 0.0054 ips: 88.5875 images/s [03/18 21:22:07] ppdet.engine INFO: Epoch: [214] [ 0/523] learning_rate: 0.053229 loss_vfl: 1.010435 loss_bbox: 0.429713 loss_dfl: 0.411981 loss: 1.843580 eta: 11:36:10 batch_cost: 1.2180 data_cost: 0.5768 ips: 45.9757 images/s [03/18 21:22:29] ppdet.engine INFO: Epoch: [214] [ 20/523] learning_rate: 0.053185 loss_vfl: 0.998806 loss_bbox: 0.442012 loss_dfl: 0.422019 loss: 1.864828 eta: 11:35:52 batch_cost: 0.9716 data_cost: 0.0113 ips: 57.6379 images/s [03/18 21:22:51] ppdet.engine INFO: Epoch: [214] [ 40/523] learning_rate: 0.053141 loss_vfl: 1.025431 loss_bbox: 0.453568 loss_dfl: 0.429374 loss: 1.913743 eta: 11:35:33 batch_cost: 0.9197 data_cost: 0.0572 ips: 60.8922 images/s [03/18 21:23:13] ppdet.engine INFO: Epoch: [214] [ 60/523] learning_rate: 0.053097 loss_vfl: 0.984547 loss_bbox: 0.441434 loss_dfl: 0.413639 loss: 1.843552 eta: 11:35:15 batch_cost: 0.9836 data_cost: 0.2009 ips: 56.9325 images/s [03/18 21:23:36] ppdet.engine INFO: Epoch: [214] [ 80/523] learning_rate: 0.053053 loss_vfl: 0.983235 loss_bbox: 0.423851 loss_dfl: 0.409136 loss: 1.805540 eta: 11:34:58 batch_cost: 1.0304 data_cost: 0.0602 ips: 54.3504 images/s [03/18 21:23:59] ppdet.engine INFO: Epoch: [214] [100/523] learning_rate: 0.053008 loss_vfl: 0.987181 loss_bbox: 0.446683 loss_dfl: 0.413577 loss: 1.811933 eta: 11:34:39 batch_cost: 0.9230 data_cost: 0.1480 ips: 60.6693 images/s [03/18 21:24:20] ppdet.engine INFO: Epoch: [214] [120/523] learning_rate: 0.052964 loss_vfl: 1.002043 loss_bbox: 0.427622 loss_dfl: 0.419538 loss: 1.838892 eta: 11:34:21 batch_cost: 0.9430 data_cost: 0.0023 ips: 59.3866 images/s [03/18 21:24:45] ppdet.engine INFO: Epoch: [214] [140/523] learning_rate: 0.052921 loss_vfl: 0.981973 loss_bbox: 0.441934 loss_dfl: 0.412486 loss: 1.844970 eta: 11:34:04 batch_cost: 1.1303 data_cost: 0.2623 ips: 49.5425 images/s [03/18 21:25:04] ppdet.engine INFO: Epoch: [214] [160/523] learning_rate: 0.052877 loss_vfl: 1.023666 loss_bbox: 0.439780 loss_dfl: 0.415131 loss: 1.878772 eta: 11:33:44 batch_cost: 0.7753 data_cost: 0.0781 ips: 72.2273 images/s [03/18 21:25:24] ppdet.engine INFO: Epoch: [214] [180/523] learning_rate: 0.052833 loss_vfl: 0.986908 loss_bbox: 0.435941 loss_dfl: 0.415390 loss: 1.829446 eta: 11:33:24 batch_cost: 0.8415 data_cost: 0.1866 ips: 66.5504 images/s [03/18 21:25:43] ppdet.engine INFO: Epoch: [214] [200/523] learning_rate: 0.052789 loss_vfl: 1.022398 loss_bbox: 0.461912 loss_dfl: 0.435172 loss: 1.949691 eta: 11:33:05 batch_cost: 0.7639 data_cost: 0.0038 ips: 73.3108 images/s [03/18 21:26:07] ppdet.engine INFO: Epoch: [214] [220/523] learning_rate: 0.052745 loss_vfl: 1.022593 loss_bbox: 0.453817 loss_dfl: 0.434476 loss: 1.919633 eta: 11:32:47 batch_cost: 1.1010 data_cost: 0.2932 ips: 50.8640 images/s [03/18 21:26:29] ppdet.engine INFO: Epoch: [214] [240/523] learning_rate: 0.052701 loss_vfl: 1.006999 loss_bbox: 0.438375 loss_dfl: 0.417937 loss: 1.862554 eta: 11:32:28 batch_cost: 0.8750 data_cost: 0.2470 ips: 63.9970 images/s [03/18 21:26:52] ppdet.engine INFO: Epoch: [214] [260/523] learning_rate: 0.052657 loss_vfl: 1.045715 loss_bbox: 0.463411 loss_dfl: 0.435963 loss: 1.951770 eta: 11:32:11 batch_cost: 1.0274 data_cost: 0.3021 ips: 54.5062 images/s [03/18 21:27:16] ppdet.engine INFO: Epoch: [214] [280/523] learning_rate: 0.052613 loss_vfl: 0.964578 loss_bbox: 0.416779 loss_dfl: 0.386961 loss: 1.777674 eta: 11:31:52 batch_cost: 0.9749 data_cost: 0.2942 ips: 57.4420 images/s [03/18 21:27:36] ppdet.engine INFO: Epoch: [214] [300/523] learning_rate: 0.052569 loss_vfl: 1.013880 loss_bbox: 0.452356 loss_dfl: 0.423223 loss: 1.882354 eta: 11:31:33 batch_cost: 0.8426 data_cost: 0.0802 ips: 66.4644 images/s [03/18 21:27:59] ppdet.engine INFO: Epoch: [214] [320/523] learning_rate: 0.052525 loss_vfl: 1.036577 loss_bbox: 0.449328 loss_dfl: 0.434445 loss: 1.906362 eta: 11:31:15 batch_cost: 0.9795 data_cost: 0.1996 ips: 57.1733 images/s [03/18 21:28:23] ppdet.engine INFO: Epoch: [214] [340/523] learning_rate: 0.052481 loss_vfl: 0.978213 loss_bbox: 0.436375 loss_dfl: 0.406462 loss: 1.829777 eta: 11:30:57 batch_cost: 1.0589 data_cost: 0.2252 ips: 52.8857 images/s [03/18 21:28:44] ppdet.engine INFO: Epoch: [214] [360/523] learning_rate: 0.052438 loss_vfl: 0.999978 loss_bbox: 0.431241 loss_dfl: 0.418324 loss: 1.881039 eta: 11:30:39 batch_cost: 0.8972 data_cost: 0.0796 ips: 62.4131 images/s [03/18 21:29:08] ppdet.engine INFO: Epoch: [214] [380/523] learning_rate: 0.052394 loss_vfl: 1.065948 loss_bbox: 0.472863 loss_dfl: 0.438793 loss: 1.989478 eta: 11:30:21 batch_cost: 1.0313 data_cost: 0.3292 ips: 54.3027 images/s [03/18 21:29:27] ppdet.engine INFO: Epoch: [214] [400/523] learning_rate: 0.052350 loss_vfl: 1.030854 loss_bbox: 0.453253 loss_dfl: 0.436050 loss: 1.913927 eta: 11:30:01 batch_cost: 0.8031 data_cost: 0.1369 ips: 69.7287 images/s [03/18 21:29:44] ppdet.engine INFO: Epoch: [214] [420/523] learning_rate: 0.052306 loss_vfl: 0.996362 loss_bbox: 0.411146 loss_dfl: 0.420709 loss: 1.815098 eta: 11:29:41 batch_cost: 0.6611 data_cost: 0.0035 ips: 84.7019 images/s [03/18 21:30:04] ppdet.engine INFO: Epoch: [214] [440/523] learning_rate: 0.052262 loss_vfl: 1.013259 loss_bbox: 0.442614 loss_dfl: 0.420383 loss: 1.860927 eta: 11:29:21 batch_cost: 0.7835 data_cost: 0.0031 ips: 71.4768 images/s [03/18 21:30:25] ppdet.engine INFO: Epoch: [214] [460/523] learning_rate: 0.052219 loss_vfl: 1.030891 loss_bbox: 0.451516 loss_dfl: 0.423958 loss: 1.920165 eta: 11:29:02 batch_cost: 0.9025 data_cost: 0.0060 ips: 62.0482 images/s [03/18 21:30:48] ppdet.engine INFO: Epoch: [214] [480/523] learning_rate: 0.052175 loss_vfl: 1.003910 loss_bbox: 0.434160 loss_dfl: 0.406291 loss: 1.856217 eta: 11:28:43 batch_cost: 0.9219 data_cost: 0.1776 ips: 60.7435 images/s [03/18 21:31:10] ppdet.engine INFO: Epoch: [214] [500/523] learning_rate: 0.052131 loss_vfl: 0.979861 loss_bbox: 0.444038 loss_dfl: 0.420214 loss: 1.834670 eta: 11:28:25 batch_cost: 0.9252 data_cost: 0.1438 ips: 60.5290 images/s [03/18 21:31:28] ppdet.engine INFO: Epoch: [214] [520/523] learning_rate: 0.052087 loss_vfl: 1.004836 loss_bbox: 0.447765 loss_dfl: 0.418970 loss: 1.850078 eta: 11:28:05 batch_cost: 0.8067 data_cost: 0.2200 ips: 69.4213 images/s [03/18 21:31:40] ppdet.engine INFO: Epoch: [215] [ 0/523] learning_rate: 0.052081 loss_vfl: 0.983848 loss_bbox: 0.443607 loss_dfl: 0.412095 loss: 1.804170 eta: 11:28:05 batch_cost: 1.1855 data_cost: 0.5750 ips: 47.2364 images/s [03/18 21:32:04] ppdet.engine INFO: Epoch: [215] [ 20/523] learning_rate: 0.052037 loss_vfl: 1.033713 loss_bbox: 0.458994 loss_dfl: 0.433547 loss: 1.912950 eta: 11:27:48 batch_cost: 1.1286 data_cost: 0.1827 ips: 49.6200 images/s [03/18 21:32:28] ppdet.engine INFO: Epoch: [215] [ 40/523] learning_rate: 0.051993 loss_vfl: 1.022276 loss_bbox: 0.439764 loss_dfl: 0.432368 loss: 1.903696 eta: 11:27:30 batch_cost: 0.9262 data_cost: 0.0043 ips: 60.4653 images/s [03/18 21:32:52] ppdet.engine INFO: Epoch: [215] [ 60/523] learning_rate: 0.051950 loss_vfl: 0.950149 loss_bbox: 0.425585 loss_dfl: 0.410593 loss: 1.780174 eta: 11:27:11 batch_cost: 0.9287 data_cost: 0.0147 ips: 60.2992 images/s [03/18 21:33:14] ppdet.engine INFO: Epoch: [215] [ 80/523] learning_rate: 0.051906 loss_vfl: 1.089288 loss_bbox: 0.494347 loss_dfl: 0.454126 loss: 2.026874 eta: 11:26:53 batch_cost: 0.9592 data_cost: 0.0036 ips: 58.3831 images/s [03/18 21:33:35] ppdet.engine INFO: Epoch: [215] [100/523] learning_rate: 0.051862 loss_vfl: 0.961701 loss_bbox: 0.415363 loss_dfl: 0.399657 loss: 1.791091 eta: 11:26:34 batch_cost: 0.9080 data_cost: 0.0062 ips: 61.6745 images/s [03/18 21:33:57] ppdet.engine INFO: Epoch: [215] [120/523] learning_rate: 0.051819 loss_vfl: 1.047503 loss_bbox: 0.461959 loss_dfl: 0.446240 loss: 1.964266 eta: 11:26:15 batch_cost: 0.9139 data_cost: 0.0053 ips: 61.2780 images/s [03/18 21:34:14] ppdet.engine INFO: Epoch: [215] [140/523] learning_rate: 0.051775 loss_vfl: 0.919019 loss_bbox: 0.399971 loss_dfl: 0.388197 loss: 1.705877 eta: 11:25:55 batch_cost: 0.7467 data_cost: 0.0035 ips: 74.9962 images/s [03/18 21:34:37] ppdet.engine INFO: Epoch: [215] [160/523] learning_rate: 0.051732 loss_vfl: 0.977955 loss_bbox: 0.438053 loss_dfl: 0.411135 loss: 1.835204 eta: 11:25:37 batch_cost: 0.9571 data_cost: 0.2066 ips: 58.5093 images/s [03/18 21:34:57] ppdet.engine INFO: Epoch: [215] [180/523] learning_rate: 0.051688 loss_vfl: 1.007623 loss_bbox: 0.426317 loss_dfl: 0.419008 loss: 1.880396 eta: 11:25:18 batch_cost: 0.8969 data_cost: 0.1681 ips: 62.4342 images/s [03/18 21:35:21] ppdet.engine INFO: Epoch: [215] [200/523] learning_rate: 0.051644 loss_vfl: 0.993101 loss_bbox: 0.425379 loss_dfl: 0.417759 loss: 1.833407 eta: 11:25:00 batch_cost: 0.9931 data_cost: 0.1969 ips: 56.3870 images/s [03/18 21:35:43] ppdet.engine INFO: Epoch: [215] [220/523] learning_rate: 0.051601 loss_vfl: 1.004696 loss_bbox: 0.431965 loss_dfl: 0.420314 loss: 1.825203 eta: 11:24:42 batch_cost: 0.9978 data_cost: 0.0946 ips: 56.1252 images/s [03/18 21:36:07] ppdet.engine INFO: Epoch: [215] [240/523] learning_rate: 0.051557 loss_vfl: 1.060798 loss_bbox: 0.471586 loss_dfl: 0.445083 loss: 1.982406 eta: 11:24:23 batch_cost: 0.9186 data_cost: 0.0041 ips: 60.9597 images/s [03/18 21:36:28] ppdet.engine INFO: Epoch: [215] [260/523] learning_rate: 0.051514 loss_vfl: 0.997142 loss_bbox: 0.438289 loss_dfl: 0.420194 loss: 1.871479 eta: 11:24:04 batch_cost: 0.7823 data_cost: 0.0060 ips: 71.5876 images/s [03/18 21:36:50] ppdet.engine INFO: Epoch: [215] [280/523] learning_rate: 0.051470 loss_vfl: 0.975666 loss_bbox: 0.425696 loss_dfl: 0.414726 loss: 1.821211 eta: 11:23:45 batch_cost: 0.9057 data_cost: 0.0853 ips: 61.8310 images/s [03/18 21:37:12] ppdet.engine INFO: Epoch: [215] [300/523] learning_rate: 0.051427 loss_vfl: 0.999578 loss_bbox: 0.417627 loss_dfl: 0.406736 loss: 1.814548 eta: 11:23:27 batch_cost: 0.9542 data_cost: 0.1006 ips: 58.6903 images/s [03/18 21:37:33] ppdet.engine INFO: Epoch: [215] [320/523] learning_rate: 0.051383 loss_vfl: 1.011314 loss_bbox: 0.444313 loss_dfl: 0.425550 loss: 1.903072 eta: 11:23:08 batch_cost: 0.9114 data_cost: 0.1552 ips: 61.4461 images/s [03/18 21:37:56] ppdet.engine INFO: Epoch: [215] [340/523] learning_rate: 0.051340 loss_vfl: 1.070608 loss_bbox: 0.469907 loss_dfl: 0.452465 loss: 1.990304 eta: 11:22:50 batch_cost: 0.9786 data_cost: 0.1148 ips: 57.2221 images/s [03/18 21:38:18] ppdet.engine INFO: Epoch: [215] [360/523] learning_rate: 0.051296 loss_vfl: 0.978059 loss_bbox: 0.426161 loss_dfl: 0.402924 loss: 1.805932 eta: 11:22:31 batch_cost: 0.9684 data_cost: 0.0844 ips: 57.8245 images/s [03/18 21:38:39] ppdet.engine INFO: Epoch: [215] [380/523] learning_rate: 0.051253 loss_vfl: 1.026025 loss_bbox: 0.458537 loss_dfl: 0.434159 loss: 1.922414 eta: 11:22:13 batch_cost: 0.8772 data_cost: 0.2008 ips: 63.8392 images/s [03/18 21:38:57] ppdet.engine INFO: Epoch: [215] [400/523] learning_rate: 0.051209 loss_vfl: 0.990144 loss_bbox: 0.427306 loss_dfl: 0.411118 loss: 1.823736 eta: 11:21:53 batch_cost: 0.7995 data_cost: 0.1606 ips: 70.0465 images/s [03/18 21:39:18] ppdet.engine INFO: Epoch: [215] [420/523] learning_rate: 0.051166 loss_vfl: 1.033559 loss_bbox: 0.460300 loss_dfl: 0.428853 loss: 1.931706 eta: 11:21:34 batch_cost: 0.8813 data_cost: 0.2226 ips: 63.5434 images/s [03/18 21:39:41] ppdet.engine INFO: Epoch: [215] [440/523] learning_rate: 0.051123 loss_vfl: 1.024159 loss_bbox: 0.451419 loss_dfl: 0.427070 loss: 1.911842 eta: 11:21:16 batch_cost: 0.9925 data_cost: 0.1124 ips: 56.4211 images/s [03/18 21:40:00] ppdet.engine INFO: Epoch: [215] [460/523] learning_rate: 0.051079 loss_vfl: 1.007737 loss_bbox: 0.463512 loss_dfl: 0.435735 loss: 1.929028 eta: 11:20:57 batch_cost: 0.8496 data_cost: 0.0128 ips: 65.9164 images/s [03/18 21:40:24] ppdet.engine INFO: Epoch: [215] [480/523] learning_rate: 0.051036 loss_vfl: 1.017969 loss_bbox: 0.445317 loss_dfl: 0.411572 loss: 1.889026 eta: 11:20:39 batch_cost: 1.0057 data_cost: 0.1986 ips: 55.6814 images/s [03/18 21:40:48] ppdet.engine INFO: Epoch: [215] [500/523] learning_rate: 0.050992 loss_vfl: 1.034113 loss_bbox: 0.457112 loss_dfl: 0.435346 loss: 1.954584 eta: 11:20:21 batch_cost: 1.0274 data_cost: 0.1492 ips: 54.5078 images/s [03/18 21:41:06] ppdet.engine INFO: Epoch: [215] [520/523] learning_rate: 0.050949 loss_vfl: 0.951778 loss_bbox: 0.430591 loss_dfl: 0.399669 loss: 1.765343 eta: 11:20:01 batch_cost: 0.8147 data_cost: 0.1499 ips: 68.7382 images/s [03/18 21:41:18] ppdet.engine INFO: Epoch: [216] [ 0/523] learning_rate: 0.050943 loss_vfl: 0.939261 loss_bbox: 0.406811 loss_dfl: 0.396392 loss: 1.736838 eta: 11:20:02 batch_cost: 1.1795 data_cost: 0.3943 ips: 47.4790 images/s [03/18 21:41:38] ppdet.engine INFO: Epoch: [216] [ 20/523] learning_rate: 0.050899 loss_vfl: 1.073145 loss_bbox: 0.462134 loss_dfl: 0.443932 loss: 1.973614 eta: 11:19:43 batch_cost: 0.8765 data_cost: 0.0010 ips: 63.8903 images/s [03/18 21:41:58] ppdet.engine INFO: Epoch: [216] [ 40/523] learning_rate: 0.050856 loss_vfl: 1.024413 loss_bbox: 0.459357 loss_dfl: 0.443469 loss: 1.938528 eta: 11:19:23 batch_cost: 0.8107 data_cost: 0.0059 ips: 69.0722 images/s [03/18 21:42:20] ppdet.engine INFO: Epoch: [216] [ 60/523] learning_rate: 0.050813 loss_vfl: 0.977253 loss_bbox: 0.424383 loss_dfl: 0.398467 loss: 1.800918 eta: 11:19:05 batch_cost: 0.9426 data_cost: 0.0059 ips: 59.4090 images/s [03/18 21:42:41] ppdet.engine INFO: Epoch: [216] [ 80/523] learning_rate: 0.050769 loss_vfl: 0.992306 loss_bbox: 0.429977 loss_dfl: 0.416798 loss: 1.834035 eta: 11:18:46 batch_cost: 0.8763 data_cost: 0.0041 ips: 63.9086 images/s [03/18 21:43:01] ppdet.engine INFO: Epoch: [216] [100/523] learning_rate: 0.050726 loss_vfl: 1.019593 loss_bbox: 0.434808 loss_dfl: 0.410873 loss: 1.864110 eta: 11:18:27 batch_cost: 0.8313 data_cost: 0.0035 ips: 67.3612 images/s [03/18 21:43:18] ppdet.engine INFO: Epoch: [216] [120/523] learning_rate: 0.050683 loss_vfl: 1.014516 loss_bbox: 0.438101 loss_dfl: 0.416071 loss: 1.863805 eta: 11:18:06 batch_cost: 0.7112 data_cost: 0.0031 ips: 78.7398 images/s [03/18 21:43:38] ppdet.engine INFO: Epoch: [216] [140/523] learning_rate: 0.050640 loss_vfl: 1.046203 loss_bbox: 0.466595 loss_dfl: 0.436064 loss: 1.948786 eta: 11:17:47 batch_cost: 0.8586 data_cost: 0.1484 ips: 65.2231 images/s [03/18 21:43:57] ppdet.engine INFO: Epoch: [216] [160/523] learning_rate: 0.050596 loss_vfl: 1.036241 loss_bbox: 0.425966 loss_dfl: 0.421170 loss: 1.933151 eta: 11:17:28 batch_cost: 0.8429 data_cost: 0.0051 ips: 66.4412 images/s [03/18 21:44:19] ppdet.engine INFO: Epoch: [216] [180/523] learning_rate: 0.050553 loss_vfl: 1.072361 loss_bbox: 0.442414 loss_dfl: 0.424152 loss: 1.940056 eta: 11:17:09 batch_cost: 0.9470 data_cost: 0.0125 ips: 59.1365 images/s [03/18 21:44:39] ppdet.engine INFO: Epoch: [216] [200/523] learning_rate: 0.050510 loss_vfl: 1.013912 loss_bbox: 0.434242 loss_dfl: 0.409999 loss: 1.853346 eta: 11:16:51 batch_cost: 0.8983 data_cost: 0.0051 ips: 62.3418 images/s [03/18 21:44:59] ppdet.engine INFO: Epoch: [216] [220/523] learning_rate: 0.050467 loss_vfl: 1.052010 loss_bbox: 0.462690 loss_dfl: 0.444130 loss: 1.970660 eta: 11:16:32 batch_cost: 0.8552 data_cost: 0.0040 ips: 65.4829 images/s [03/18 21:45:19] ppdet.engine INFO: Epoch: [216] [240/523] learning_rate: 0.050423 loss_vfl: 1.025819 loss_bbox: 0.438595 loss_dfl: 0.412802 loss: 1.847909 eta: 11:16:13 batch_cost: 0.8868 data_cost: 0.1358 ips: 63.1504 images/s [03/18 21:45:41] ppdet.engine INFO: Epoch: [216] [260/523] learning_rate: 0.050380 loss_vfl: 1.015405 loss_bbox: 0.456985 loss_dfl: 0.423032 loss: 1.885296 eta: 11:15:55 batch_cost: 1.0146 data_cost: 0.1284 ips: 55.1937 images/s [03/18 21:45:59] ppdet.engine INFO: Epoch: [216] [280/523] learning_rate: 0.050337 loss_vfl: 0.946770 loss_bbox: 0.423460 loss_dfl: 0.394877 loss: 1.759758 eta: 11:15:34 batch_cost: 0.6925 data_cost: 0.0087 ips: 80.8656 images/s [03/18 21:46:20] ppdet.engine INFO: Epoch: [216] [300/523] learning_rate: 0.050294 loss_vfl: 0.982239 loss_bbox: 0.408668 loss_dfl: 0.386341 loss: 1.787657 eta: 11:15:16 batch_cost: 0.9059 data_cost: 0.0552 ips: 61.8169 images/s [03/18 21:46:41] ppdet.engine INFO: Epoch: [216] [320/523] learning_rate: 0.050251 loss_vfl: 1.040529 loss_bbox: 0.455179 loss_dfl: 0.425452 loss: 1.933275 eta: 11:14:57 batch_cost: 0.8888 data_cost: 0.0477 ips: 63.0039 images/s [03/18 21:47:01] ppdet.engine INFO: Epoch: [216] [340/523] learning_rate: 0.050208 loss_vfl: 1.062379 loss_bbox: 0.470840 loss_dfl: 0.430660 loss: 1.959371 eta: 11:14:37 batch_cost: 0.8180 data_cost: 0.0472 ips: 68.4608 images/s [03/18 21:47:24] ppdet.engine INFO: Epoch: [216] [360/523] learning_rate: 0.050165 loss_vfl: 0.979538 loss_bbox: 0.439318 loss_dfl: 0.418306 loss: 1.817044 eta: 11:14:19 batch_cost: 0.9781 data_cost: 0.1714 ips: 57.2538 images/s [03/18 21:47:43] ppdet.engine INFO: Epoch: [216] [380/523] learning_rate: 0.050122 loss_vfl: 0.993602 loss_bbox: 0.432566 loss_dfl: 0.412726 loss: 1.833596 eta: 11:14:00 batch_cost: 0.8902 data_cost: 0.0470 ips: 62.9062 images/s [03/18 21:48:04] ppdet.engine INFO: Epoch: [216] [400/523] learning_rate: 0.050079 loss_vfl: 1.047415 loss_bbox: 0.474367 loss_dfl: 0.441696 loss: 1.986643 eta: 11:13:41 batch_cost: 0.7986 data_cost: 0.0165 ips: 70.1258 images/s [03/18 21:48:24] ppdet.engine INFO: Epoch: [216] [420/523] learning_rate: 0.050036 loss_vfl: 1.017884 loss_bbox: 0.459492 loss_dfl: 0.420833 loss: 1.896155 eta: 11:13:21 batch_cost: 0.8520 data_cost: 0.0263 ips: 65.7252 images/s [03/18 21:48:41] ppdet.engine INFO: Epoch: [216] [440/523] learning_rate: 0.049993 loss_vfl: 0.990972 loss_bbox: 0.419331 loss_dfl: 0.408578 loss: 1.838198 eta: 11:13:02 batch_cost: 0.7553 data_cost: 0.0110 ips: 74.1468 images/s [03/18 21:49:02] ppdet.engine INFO: Epoch: [216] [460/523] learning_rate: 0.049950 loss_vfl: 0.975202 loss_bbox: 0.444222 loss_dfl: 0.405209 loss: 1.835822 eta: 11:12:42 batch_cost: 0.8254 data_cost: 0.0059 ips: 67.8489 images/s [03/18 21:49:24] ppdet.engine INFO: Epoch: [216] [480/523] learning_rate: 0.049907 loss_vfl: 0.964535 loss_bbox: 0.428139 loss_dfl: 0.401070 loss: 1.780379 eta: 11:12:24 batch_cost: 0.9351 data_cost: 0.0052 ips: 59.8847 images/s [03/18 21:49:42] ppdet.engine INFO: Epoch: [216] [500/523] learning_rate: 0.049864 loss_vfl: 1.013525 loss_bbox: 0.450685 loss_dfl: 0.427634 loss: 1.880591 eta: 11:12:04 batch_cost: 0.7884 data_cost: 0.0119 ips: 71.0275 images/s [03/18 21:50:00] ppdet.engine INFO: Epoch: [216] [520/523] learning_rate: 0.049821 loss_vfl: 1.008402 loss_bbox: 0.436045 loss_dfl: 0.420905 loss: 1.867335 eta: 11:11:44 batch_cost: 0.7820 data_cost: 0.0025 ips: 71.6106 images/s [03/18 21:50:11] ppdet.engine INFO: Epoch: [217] [ 0/523] learning_rate: 0.049814 loss_vfl: 1.008402 loss_bbox: 0.436045 loss_dfl: 0.416210 loss: 1.867335 eta: 11:11:44 batch_cost: 1.1122 data_cost: 0.4221 ips: 50.3521 images/s [03/18 21:50:34] ppdet.engine INFO: Epoch: [217] [ 20/523] learning_rate: 0.049771 loss_vfl: 1.018294 loss_bbox: 0.463646 loss_dfl: 0.424112 loss: 1.891023 eta: 11:11:26 batch_cost: 0.9571 data_cost: 0.0046 ips: 58.5115 images/s [03/18 21:50:56] ppdet.engine INFO: Epoch: [217] [ 40/523] learning_rate: 0.049728 loss_vfl: 0.993952 loss_bbox: 0.420357 loss_dfl: 0.414546 loss: 1.846403 eta: 11:11:08 batch_cost: 0.9962 data_cost: 0.0810 ips: 56.2144 images/s [03/18 21:51:21] ppdet.engine INFO: Epoch: [217] [ 60/523] learning_rate: 0.049685 loss_vfl: 1.023188 loss_bbox: 0.469800 loss_dfl: 0.429961 loss: 1.906468 eta: 11:10:50 batch_cost: 0.9977 data_cost: 0.0039 ips: 56.1287 images/s [03/18 21:51:42] ppdet.engine INFO: Epoch: [217] [ 80/523] learning_rate: 0.049642 loss_vfl: 1.049061 loss_bbox: 0.445297 loss_dfl: 0.438245 loss: 1.940478 eta: 11:10:31 batch_cost: 0.8332 data_cost: 0.0055 ips: 67.2086 images/s [03/18 21:52:03] ppdet.engine INFO: Epoch: [217] [100/523] learning_rate: 0.049599 loss_vfl: 1.033293 loss_bbox: 0.451706 loss_dfl: 0.434226 loss: 1.920739 eta: 11:10:12 batch_cost: 0.8901 data_cost: 0.0042 ips: 62.9124 images/s [03/18 21:52:25] ppdet.engine INFO: Epoch: [217] [120/523] learning_rate: 0.049557 loss_vfl: 1.038280 loss_bbox: 0.459948 loss_dfl: 0.425801 loss: 1.920568 eta: 11:09:53 batch_cost: 0.9311 data_cost: 0.2311 ips: 60.1445 images/s [03/18 21:52:46] ppdet.engine INFO: Epoch: [217] [140/523] learning_rate: 0.049514 loss_vfl: 1.042839 loss_bbox: 0.467138 loss_dfl: 0.437998 loss: 1.913757 eta: 11:09:34 batch_cost: 0.8786 data_cost: 0.1028 ips: 63.7379 images/s [03/18 21:53:06] ppdet.engine INFO: Epoch: [217] [160/523] learning_rate: 0.049471 loss_vfl: 0.975150 loss_bbox: 0.453989 loss_dfl: 0.412005 loss: 1.850692 eta: 11:09:15 batch_cost: 0.8976 data_cost: 0.0026 ips: 62.3903 images/s [03/18 21:53:25] ppdet.engine INFO: Epoch: [217] [180/523] learning_rate: 0.049428 loss_vfl: 1.041453 loss_bbox: 0.466225 loss_dfl: 0.439362 loss: 1.948192 eta: 11:08:56 batch_cost: 0.7708 data_cost: 0.0011 ips: 72.6541 images/s [03/18 21:53:42] ppdet.engine INFO: Epoch: [217] [200/523] learning_rate: 0.049385 loss_vfl: 0.987639 loss_bbox: 0.409779 loss_dfl: 0.412410 loss: 1.808741 eta: 11:08:36 batch_cost: 0.7665 data_cost: 0.0022 ips: 73.0600 images/s [03/18 21:54:08] ppdet.engine INFO: Epoch: [217] [220/523] learning_rate: 0.049342 loss_vfl: 0.986421 loss_bbox: 0.464105 loss_dfl: 0.430520 loss: 1.908728 eta: 11:08:19 batch_cost: 1.1464 data_cost: 0.3365 ips: 48.8477 images/s [03/18 21:54:29] ppdet.engine INFO: Epoch: [217] [240/523] learning_rate: 0.049300 loss_vfl: 0.993368 loss_bbox: 0.440523 loss_dfl: 0.417364 loss: 1.834124 eta: 11:08:00 batch_cost: 0.9043 data_cost: 0.1313 ips: 61.9288 images/s [03/18 21:54:51] ppdet.engine INFO: Epoch: [217] [260/523] learning_rate: 0.049257 loss_vfl: 0.961456 loss_bbox: 0.422988 loss_dfl: 0.397227 loss: 1.768697 eta: 11:07:42 batch_cost: 0.9315 data_cost: 0.0019 ips: 60.1149 images/s [03/18 21:55:12] ppdet.engine INFO: Epoch: [217] [280/523] learning_rate: 0.049214 loss_vfl: 0.992170 loss_bbox: 0.451697 loss_dfl: 0.419335 loss: 1.872836 eta: 11:07:23 batch_cost: 0.8810 data_cost: 0.0029 ips: 63.5640 images/s [03/18 21:55:33] ppdet.engine INFO: Epoch: [217] [300/523] learning_rate: 0.049171 loss_vfl: 1.086732 loss_bbox: 0.471194 loss_dfl: 0.438758 loss: 1.964800 eta: 11:07:04 batch_cost: 0.9338 data_cost: 0.2322 ips: 59.9690 images/s [03/18 21:55:57] ppdet.engine INFO: Epoch: [217] [320/523] learning_rate: 0.049129 loss_vfl: 1.043071 loss_bbox: 0.474045 loss_dfl: 0.445788 loss: 1.983180 eta: 11:06:47 batch_cost: 1.0822 data_cost: 0.3370 ips: 51.7453 images/s [03/18 21:56:19] ppdet.engine INFO: Epoch: [217] [340/523] learning_rate: 0.049086 loss_vfl: 1.018741 loss_bbox: 0.446914 loss_dfl: 0.419327 loss: 1.877093 eta: 11:06:28 batch_cost: 0.9197 data_cost: 0.1116 ips: 60.8875 images/s [03/18 21:56:37] ppdet.engine INFO: Epoch: [217] [360/523] learning_rate: 0.049043 loss_vfl: 0.980693 loss_bbox: 0.443746 loss_dfl: 0.420063 loss: 1.849731 eta: 11:06:09 batch_cost: 0.7827 data_cost: 0.1108 ips: 71.5473 images/s [03/18 21:57:00] ppdet.engine INFO: Epoch: [217] [380/523] learning_rate: 0.049000 loss_vfl: 1.033147 loss_bbox: 0.474309 loss_dfl: 0.432231 loss: 1.941663 eta: 11:05:51 batch_cost: 1.0132 data_cost: 0.3270 ips: 55.2713 images/s [03/18 21:57:23] ppdet.engine INFO: Epoch: [217] [400/523] learning_rate: 0.048958 loss_vfl: 1.045759 loss_bbox: 0.453609 loss_dfl: 0.429052 loss: 1.917153 eta: 11:05:32 batch_cost: 0.9492 data_cost: 0.1263 ips: 58.9958 images/s [03/18 21:57:42] ppdet.engine INFO: Epoch: [217] [420/523] learning_rate: 0.048915 loss_vfl: 0.966070 loss_bbox: 0.412216 loss_dfl: 0.400131 loss: 1.747864 eta: 11:05:13 batch_cost: 0.8666 data_cost: 0.1124 ips: 64.6168 images/s [03/18 21:58:02] ppdet.engine INFO: Epoch: [217] [440/523] learning_rate: 0.048872 loss_vfl: 1.017935 loss_bbox: 0.450776 loss_dfl: 0.429915 loss: 1.903627 eta: 11:04:54 batch_cost: 0.8005 data_cost: 0.1201 ips: 69.9606 images/s [03/18 21:58:21] ppdet.engine INFO: Epoch: [217] [460/523] learning_rate: 0.048830 loss_vfl: 1.003764 loss_bbox: 0.456901 loss_dfl: 0.429020 loss: 1.896076 eta: 11:04:34 batch_cost: 0.7955 data_cost: 0.0017 ips: 70.3974 images/s [03/18 21:58:40] ppdet.engine INFO: Epoch: [217] [480/523] learning_rate: 0.048787 loss_vfl: 0.977262 loss_bbox: 0.441076 loss_dfl: 0.412436 loss: 1.846810 eta: 11:04:14 batch_cost: 0.7648 data_cost: 0.0033 ips: 73.2265 images/s [03/18 21:59:01] ppdet.engine INFO: Epoch: [217] [500/523] learning_rate: 0.048745 loss_vfl: 1.010620 loss_bbox: 0.447387 loss_dfl: 0.429394 loss: 1.887007 eta: 11:03:55 batch_cost: 0.8830 data_cost: 0.0172 ips: 63.4224 images/s [03/18 21:59:19] ppdet.engine INFO: Epoch: [217] [520/523] learning_rate: 0.048702 loss_vfl: 0.986687 loss_bbox: 0.424617 loss_dfl: 0.408698 loss: 1.810710 eta: 11:03:35 batch_cost: 0.7128 data_cost: 0.1144 ips: 78.5685 images/s [03/18 21:59:31] ppdet.engine INFO: Epoch: [218] [ 0/523] learning_rate: 0.048696 loss_vfl: 0.986687 loss_bbox: 0.424617 loss_dfl: 0.408698 loss: 1.810710 eta: 11:03:35 batch_cost: 1.1264 data_cost: 0.5753 ips: 49.7162 images/s [03/18 21:59:55] ppdet.engine INFO: Epoch: [218] [ 20/523] learning_rate: 0.048653 loss_vfl: 0.998738 loss_bbox: 0.435260 loss_dfl: 0.426484 loss: 1.893616 eta: 11:03:17 batch_cost: 1.0304 data_cost: 0.0028 ips: 54.3477 images/s [03/18 22:00:16] ppdet.engine INFO: Epoch: [218] [ 40/523] learning_rate: 0.048610 loss_vfl: 1.042971 loss_bbox: 0.459489 loss_dfl: 0.427894 loss: 1.919900 eta: 11:02:59 batch_cost: 0.9359 data_cost: 0.0134 ips: 59.8373 images/s [03/18 22:00:41] ppdet.engine INFO: Epoch: [218] [ 60/523] learning_rate: 0.048568 loss_vfl: 1.020447 loss_bbox: 0.434563 loss_dfl: 0.403779 loss: 1.848697 eta: 11:02:41 batch_cost: 1.0608 data_cost: 0.0975 ips: 52.7928 images/s [03/18 22:01:05] ppdet.engine INFO: Epoch: [218] [ 80/523] learning_rate: 0.048525 loss_vfl: 1.044908 loss_bbox: 0.471714 loss_dfl: 0.441642 loss: 1.950222 eta: 11:02:24 batch_cost: 1.0301 data_cost: 0.0016 ips: 54.3652 images/s [03/18 22:01:27] ppdet.engine INFO: Epoch: [218] [100/523] learning_rate: 0.048483 loss_vfl: 1.015644 loss_bbox: 0.448764 loss_dfl: 0.432170 loss: 1.910659 eta: 11:02:05 batch_cost: 0.9063 data_cost: 0.0047 ips: 61.7906 images/s [03/18 22:01:50] ppdet.engine INFO: Epoch: [218] [120/523] learning_rate: 0.048440 loss_vfl: 0.980289 loss_bbox: 0.418036 loss_dfl: 0.405965 loss: 1.803614 eta: 11:01:46 batch_cost: 0.9552 data_cost: 0.0033 ips: 58.6240 images/s [03/18 22:02:13] ppdet.engine INFO: Epoch: [218] [140/523] learning_rate: 0.048398 loss_vfl: 1.020393 loss_bbox: 0.436701 loss_dfl: 0.409783 loss: 1.843336 eta: 11:01:29 batch_cost: 1.0392 data_cost: 0.0933 ips: 53.8863 images/s [03/18 22:02:32] ppdet.engine INFO: Epoch: [218] [160/523] learning_rate: 0.048355 loss_vfl: 1.043895 loss_bbox: 0.449833 loss_dfl: 0.422361 loss: 1.931295 eta: 11:01:09 batch_cost: 0.8271 data_cost: 0.0055 ips: 67.7030 images/s [03/18 22:02:51] ppdet.engine INFO: Epoch: [218] [180/523] learning_rate: 0.048313 loss_vfl: 1.041708 loss_bbox: 0.441345 loss_dfl: 0.412361 loss: 1.853494 eta: 11:00:50 batch_cost: 0.8104 data_cost: 0.1121 ips: 69.1027 images/s [03/18 22:03:12] ppdet.engine INFO: Epoch: [218] [200/523] learning_rate: 0.048270 loss_vfl: 1.055730 loss_bbox: 0.458119 loss_dfl: 0.427136 loss: 1.923140 eta: 11:00:31 batch_cost: 0.8941 data_cost: 0.1144 ips: 62.6319 images/s [03/18 22:03:35] ppdet.engine INFO: Epoch: [218] [220/523] learning_rate: 0.048228 loss_vfl: 1.003667 loss_bbox: 0.426930 loss_dfl: 0.412304 loss: 1.829271 eta: 11:00:12 batch_cost: 0.8699 data_cost: 0.0503 ips: 64.3776 images/s [03/18 22:03:57] ppdet.engine INFO: Epoch: [218] [240/523] learning_rate: 0.048186 loss_vfl: 1.028012 loss_bbox: 0.468934 loss_dfl: 0.436922 loss: 1.942667 eta: 10:59:53 batch_cost: 0.8058 data_cost: 0.0145 ips: 69.4919 images/s [03/18 22:04:20] ppdet.engine INFO: Epoch: [218] [260/523] learning_rate: 0.048143 loss_vfl: 0.992343 loss_bbox: 0.431603 loss_dfl: 0.407670 loss: 1.834237 eta: 10:59:35 batch_cost: 0.9865 data_cost: 0.0060 ips: 56.7671 images/s [03/18 22:04:41] ppdet.engine INFO: Epoch: [218] [280/523] learning_rate: 0.048101 loss_vfl: 1.021193 loss_bbox: 0.448646 loss_dfl: 0.425739 loss: 1.923911 eta: 10:59:16 batch_cost: 0.9044 data_cost: 0.0064 ips: 61.9168 images/s [03/18 22:05:05] ppdet.engine INFO: Epoch: [218] [300/523] learning_rate: 0.048059 loss_vfl: 0.962444 loss_bbox: 0.417577 loss_dfl: 0.412375 loss: 1.787064 eta: 10:58:58 batch_cost: 1.0207 data_cost: 0.0009 ips: 54.8665 images/s [03/18 22:05:26] ppdet.engine INFO: Epoch: [218] [320/523] learning_rate: 0.048016 loss_vfl: 1.022068 loss_bbox: 0.437101 loss_dfl: 0.426255 loss: 1.871815 eta: 10:58:39 batch_cost: 0.8396 data_cost: 0.0086 ips: 66.6984 images/s [03/18 22:05:48] ppdet.engine INFO: Epoch: [218] [340/523] learning_rate: 0.047974 loss_vfl: 1.015446 loss_bbox: 0.456019 loss_dfl: 0.427634 loss: 1.903777 eta: 10:58:20 batch_cost: 0.9049 data_cost: 0.0127 ips: 61.8859 images/s [03/18 22:06:11] ppdet.engine INFO: Epoch: [218] [360/523] learning_rate: 0.047931 loss_vfl: 1.000393 loss_bbox: 0.451820 loss_dfl: 0.417610 loss: 1.859531 eta: 10:58:01 batch_cost: 0.8833 data_cost: 0.0036 ips: 63.3985 images/s [03/18 22:06:34] ppdet.engine INFO: Epoch: [218] [380/523] learning_rate: 0.047889 loss_vfl: 1.028934 loss_bbox: 0.433095 loss_dfl: 0.419582 loss: 1.882535 eta: 10:57:43 batch_cost: 1.0146 data_cost: 0.2259 ips: 55.1922 images/s [03/18 22:06:54] ppdet.engine INFO: Epoch: [218] [400/523] learning_rate: 0.047847 loss_vfl: 1.021588 loss_bbox: 0.447786 loss_dfl: 0.423484 loss: 1.896573 eta: 10:57:24 batch_cost: 0.8411 data_cost: 0.0956 ips: 66.5765 images/s [03/18 22:07:13] ppdet.engine INFO: Epoch: [218] [420/523] learning_rate: 0.047805 loss_vfl: 1.023974 loss_bbox: 0.446864 loss_dfl: 0.424039 loss: 1.875934 eta: 10:57:04 batch_cost: 0.7599 data_cost: 0.0344 ips: 73.6939 images/s [03/18 22:07:31] ppdet.engine INFO: Epoch: [218] [440/523] learning_rate: 0.047762 loss_vfl: 1.024854 loss_bbox: 0.451666 loss_dfl: 0.430146 loss: 1.920550 eta: 10:56:45 batch_cost: 0.8010 data_cost: 0.0105 ips: 69.9145 images/s [03/18 22:07:53] ppdet.engine INFO: Epoch: [218] [460/523] learning_rate: 0.047720 loss_vfl: 0.977759 loss_bbox: 0.429743 loss_dfl: 0.409254 loss: 1.778157 eta: 10:56:26 batch_cost: 0.9536 data_cost: 0.0557 ips: 58.7232 images/s [03/18 22:08:19] ppdet.engine INFO: Epoch: [218] [480/523] learning_rate: 0.047678 loss_vfl: 1.016818 loss_bbox: 0.446781 loss_dfl: 0.429527 loss: 1.883254 eta: 10:56:08 batch_cost: 1.0477 data_cost: 0.0035 ips: 53.4489 images/s [03/18 22:08:40] ppdet.engine INFO: Epoch: [218] [500/523] learning_rate: 0.047636 loss_vfl: 1.035631 loss_bbox: 0.457702 loss_dfl: 0.433445 loss: 1.925394 eta: 10:55:49 batch_cost: 0.8529 data_cost: 0.0274 ips: 65.6579 images/s [03/18 22:08:57] ppdet.engine INFO: Epoch: [218] [520/523] learning_rate: 0.047593 loss_vfl: 1.004776 loss_bbox: 0.444581 loss_dfl: 0.429219 loss: 1.866927 eta: 10:55:29 batch_cost: 0.6945 data_cost: 0.0017 ips: 80.6350 images/s [03/18 22:09:08] ppdet.engine INFO: Epoch: [219] [ 0/523] learning_rate: 0.047587 loss_vfl: 0.979380 loss_bbox: 0.434208 loss_dfl: 0.415126 loss: 1.812544 eta: 10:55:29 batch_cost: 1.0664 data_cost: 0.3507 ips: 52.5153 images/s [03/18 22:09:29] ppdet.engine INFO: Epoch: [219] [ 20/523] learning_rate: 0.047545 loss_vfl: 0.999817 loss_bbox: 0.429725 loss_dfl: 0.403427 loss: 1.846845 eta: 10:55:10 batch_cost: 0.9482 data_cost: 0.0907 ips: 59.0602 images/s [03/18 22:09:52] ppdet.engine INFO: Epoch: [219] [ 40/523] learning_rate: 0.047503 loss_vfl: 1.000149 loss_bbox: 0.447913 loss_dfl: 0.412430 loss: 1.844982 eta: 10:54:52 batch_cost: 0.9808 data_cost: 0.0037 ips: 57.0937 images/s [03/18 22:10:14] ppdet.engine INFO: Epoch: [219] [ 60/523] learning_rate: 0.047461 loss_vfl: 1.040891 loss_bbox: 0.437320 loss_dfl: 0.426146 loss: 1.917080 eta: 10:54:34 batch_cost: 0.9095 data_cost: 0.0066 ips: 61.5748 images/s [03/18 22:10:35] ppdet.engine INFO: Epoch: [219] [ 80/523] learning_rate: 0.047418 loss_vfl: 1.003909 loss_bbox: 0.457172 loss_dfl: 0.422475 loss: 1.870932 eta: 10:54:15 batch_cost: 0.9222 data_cost: 0.1819 ips: 60.7225 images/s [03/18 22:10:57] ppdet.engine INFO: Epoch: [219] [100/523] learning_rate: 0.047376 loss_vfl: 1.014947 loss_bbox: 0.471107 loss_dfl: 0.450672 loss: 1.930105 eta: 10:53:57 batch_cost: 0.9460 data_cost: 0.0807 ips: 59.1979 images/s [03/18 22:11:17] ppdet.engine INFO: Epoch: [219] [120/523] learning_rate: 0.047334 loss_vfl: 1.066017 loss_bbox: 0.472356 loss_dfl: 0.434069 loss: 1.991961 eta: 10:53:38 batch_cost: 0.8660 data_cost: 0.0057 ips: 64.6686 images/s [03/18 22:11:36] ppdet.engine INFO: Epoch: [219] [140/523] learning_rate: 0.047292 loss_vfl: 0.985697 loss_bbox: 0.434220 loss_dfl: 0.418637 loss: 1.850445 eta: 10:53:18 batch_cost: 0.8031 data_cost: 0.0022 ips: 69.7277 images/s [03/18 22:11:55] ppdet.engine INFO: Epoch: [219] [160/523] learning_rate: 0.047250 loss_vfl: 1.003242 loss_bbox: 0.458056 loss_dfl: 0.426811 loss: 1.898198 eta: 10:52:59 batch_cost: 0.8614 data_cost: 0.0319 ips: 65.0137 images/s [03/18 22:12:14] ppdet.engine INFO: Epoch: [219] [180/523] learning_rate: 0.047208 loss_vfl: 1.031286 loss_bbox: 0.454708 loss_dfl: 0.425474 loss: 1.899266 eta: 10:52:40 batch_cost: 0.8377 data_cost: 0.0013 ips: 66.8503 images/s [03/18 22:12:33] ppdet.engine INFO: Epoch: [219] [200/523] learning_rate: 0.047166 loss_vfl: 1.009845 loss_bbox: 0.456584 loss_dfl: 0.428226 loss: 1.883570 eta: 10:52:20 batch_cost: 0.8241 data_cost: 0.0118 ips: 67.9525 images/s [03/18 22:12:55] ppdet.engine INFO: Epoch: [219] [220/523] learning_rate: 0.047124 loss_vfl: 1.001506 loss_bbox: 0.440743 loss_dfl: 0.424275 loss: 1.842529 eta: 10:52:02 batch_cost: 0.9381 data_cost: 0.0233 ips: 59.6944 images/s [03/18 22:13:16] ppdet.engine INFO: Epoch: [219] [240/523] learning_rate: 0.047082 loss_vfl: 0.986850 loss_bbox: 0.429751 loss_dfl: 0.415824 loss: 1.817664 eta: 10:51:43 batch_cost: 0.8923 data_cost: 0.0013 ips: 62.7620 images/s [03/18 22:13:37] ppdet.engine INFO: Epoch: [219] [260/523] learning_rate: 0.047040 loss_vfl: 0.979860 loss_bbox: 0.418004 loss_dfl: 0.402154 loss: 1.796673 eta: 10:51:24 batch_cost: 0.8876 data_cost: 0.0650 ips: 63.0907 images/s [03/18 22:14:01] ppdet.engine INFO: Epoch: [219] [280/523] learning_rate: 0.046998 loss_vfl: 1.057595 loss_bbox: 0.455072 loss_dfl: 0.438226 loss: 1.966812 eta: 10:51:06 batch_cost: 0.9741 data_cost: 0.1533 ips: 57.4903 images/s [03/18 22:14:21] ppdet.engine INFO: Epoch: [219] [300/523] learning_rate: 0.046956 loss_vfl: 1.031116 loss_bbox: 0.457883 loss_dfl: 0.429728 loss: 1.897296 eta: 10:50:47 batch_cost: 0.8564 data_cost: 0.0228 ips: 65.3879 images/s [03/18 22:14:44] ppdet.engine INFO: Epoch: [219] [320/523] learning_rate: 0.046914 loss_vfl: 1.031489 loss_bbox: 0.412508 loss_dfl: 0.411233 loss: 1.837493 eta: 10:50:29 batch_cost: 0.9895 data_cost: 0.0846 ips: 56.5955 images/s [03/18 22:15:04] ppdet.engine INFO: Epoch: [219] [340/523] learning_rate: 0.046872 loss_vfl: 0.986386 loss_bbox: 0.429389 loss_dfl: 0.409607 loss: 1.808806 eta: 10:50:10 batch_cost: 0.8893 data_cost: 0.1840 ips: 62.9725 images/s [03/18 22:15:25] ppdet.engine INFO: Epoch: [219] [360/523] learning_rate: 0.046830 loss_vfl: 0.990142 loss_bbox: 0.435939 loss_dfl: 0.404794 loss: 1.822691 eta: 10:49:51 batch_cost: 0.8696 data_cost: 0.0328 ips: 64.3979 images/s [03/18 22:15:45] ppdet.engine INFO: Epoch: [219] [380/523] learning_rate: 0.046788 loss_vfl: 0.976841 loss_bbox: 0.454205 loss_dfl: 0.402778 loss: 1.821227 eta: 10:49:32 batch_cost: 0.9231 data_cost: 0.2326 ips: 60.6643 images/s [03/18 22:16:06] ppdet.engine INFO: Epoch: [219] [400/523] learning_rate: 0.046746 loss_vfl: 0.987691 loss_bbox: 0.428807 loss_dfl: 0.407066 loss: 1.815085 eta: 10:49:14 batch_cost: 0.9088 data_cost: 0.2494 ips: 61.6189 images/s [03/18 22:16:27] ppdet.engine INFO: Epoch: [219] [420/523] learning_rate: 0.046704 loss_vfl: 1.009192 loss_bbox: 0.435213 loss_dfl: 0.407185 loss: 1.850249 eta: 10:48:55 batch_cost: 0.8834 data_cost: 0.0386 ips: 63.3929 images/s [03/18 22:16:44] ppdet.engine INFO: Epoch: [219] [440/523] learning_rate: 0.046662 loss_vfl: 1.039875 loss_bbox: 0.450324 loss_dfl: 0.438719 loss: 1.967622 eta: 10:48:35 batch_cost: 0.7288 data_cost: 0.0049 ips: 76.8351 images/s [03/18 22:17:04] ppdet.engine INFO: Epoch: [219] [460/523] learning_rate: 0.046621 loss_vfl: 1.061205 loss_bbox: 0.469101 loss_dfl: 0.443576 loss: 1.993547 eta: 10:48:16 batch_cost: 0.8718 data_cost: 0.1396 ips: 64.2357 images/s [03/18 22:17:24] ppdet.engine INFO: Epoch: [219] [480/523] learning_rate: 0.046579 loss_vfl: 1.026792 loss_bbox: 0.443579 loss_dfl: 0.435688 loss: 1.899873 eta: 10:47:56 batch_cost: 0.8369 data_cost: 0.0049 ips: 66.9160 images/s [03/18 22:17:45] ppdet.engine INFO: Epoch: [219] [500/523] learning_rate: 0.046537 loss_vfl: 1.040116 loss_bbox: 0.466254 loss_dfl: 0.437203 loss: 1.933755 eta: 10:47:37 batch_cost: 0.8035 data_cost: 0.0065 ips: 69.6981 images/s [03/18 22:18:03] ppdet.engine INFO: Epoch: [219] [520/523] learning_rate: 0.046495 loss_vfl: 1.035162 loss_bbox: 0.443536 loss_dfl: 0.427811 loss: 1.933675 eta: 10:47:18 batch_cost: 0.8117 data_cost: 0.1646 ips: 68.9939 images/s [03/18 22:18:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 22:18:05] ppdet.engine INFO: Eval iter: 0 [03/18 22:18:28] ppdet.engine INFO: Eval iter: 100 [03/18 22:18:38] ppdet.engine INFO: Eval iter: 200 [03/18 22:18:48] ppdet.engine INFO: Eval iter: 300 [03/18 22:18:58] ppdet.engine INFO: Eval iter: 400 [03/18 22:19:07] ppdet.engine INFO: Eval iter: 500 [03/18 22:19:18] ppdet.engine INFO: Eval iter: 600 [03/18 22:19:32] 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 22:19:33] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.46s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=83.92s). Accumulating evaluation results... DONE (t=16.00s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.250 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.379 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.265 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.083 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.254 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 ] = 0.250 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.406 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.433 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.160 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.479 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.686 [03/18 22:21:19] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.80589911790437 [03/18 22:21:19] ppdet.engine INFO: Best test bbox ap is 0.250. [03/18 22:21:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 22:21:20] ppdet.engine INFO: Epoch: [220] [ 0/523] learning_rate: 0.046489 loss_vfl: 0.999400 loss_bbox: 0.440509 loss_dfl: 0.415838 loss: 1.865325 eta: 10:47:14 batch_cost: 0.7460 data_cost: 0.1646 ips: 75.0688 images/s [03/18 22:21:38] ppdet.engine INFO: Epoch: [220] [ 20/523] learning_rate: 0.046447 loss_vfl: 0.942511 loss_bbox: 0.419498 loss_dfl: 0.387131 loss: 1.749454 eta: 10:46:54 batch_cost: 0.7005 data_cost: 0.0003 ips: 79.9398 images/s [03/18 22:22:02] ppdet.engine INFO: Epoch: [220] [ 40/523] learning_rate: 0.046405 loss_vfl: 0.988684 loss_bbox: 0.431007 loss_dfl: 0.411675 loss: 1.833744 eta: 10:46:36 batch_cost: 1.0726 data_cost: 0.0029 ips: 52.2114 images/s [03/18 22:22:24] ppdet.engine INFO: Epoch: [220] [ 60/523] learning_rate: 0.046363 loss_vfl: 1.045719 loss_bbox: 0.462381 loss_dfl: 0.430500 loss: 1.926445 eta: 10:46:18 batch_cost: 0.9820 data_cost: 0.0056 ips: 57.0277 images/s [03/18 22:22:46] ppdet.engine INFO: Epoch: [220] [ 80/523] learning_rate: 0.046322 loss_vfl: 1.021253 loss_bbox: 0.434116 loss_dfl: 0.423209 loss: 1.895168 eta: 10:46:00 batch_cost: 0.9664 data_cost: 0.1358 ips: 57.9462 images/s [03/18 22:23:09] ppdet.engine INFO: Epoch: [220] [100/523] learning_rate: 0.046280 loss_vfl: 1.020946 loss_bbox: 0.434862 loss_dfl: 0.420171 loss: 1.895022 eta: 10:45:41 batch_cost: 0.9395 data_cost: 0.0830 ips: 59.6062 images/s [03/18 22:23:33] ppdet.engine INFO: Epoch: [220] [120/523] learning_rate: 0.046238 loss_vfl: 0.991724 loss_bbox: 0.442928 loss_dfl: 0.421355 loss: 1.853226 eta: 10:45:24 batch_cost: 1.0591 data_cost: 0.3481 ips: 52.8770 images/s [03/18 22:23:53] ppdet.engine INFO: Epoch: [220] [140/523] learning_rate: 0.046197 loss_vfl: 1.052630 loss_bbox: 0.464967 loss_dfl: 0.443576 loss: 1.979163 eta: 10:45:05 batch_cost: 0.8518 data_cost: 0.0961 ips: 65.7413 images/s [03/18 22:24:17] ppdet.engine INFO: Epoch: [220] [160/523] learning_rate: 0.046155 loss_vfl: 1.011643 loss_bbox: 0.438678 loss_dfl: 0.412267 loss: 1.875637 eta: 10:44:47 batch_cost: 1.0620 data_cost: 0.3156 ips: 52.7324 images/s [03/18 22:24:38] ppdet.engine INFO: Epoch: [220] [180/523] learning_rate: 0.046113 loss_vfl: 1.027709 loss_bbox: 0.450913 loss_dfl: 0.427992 loss: 1.903095 eta: 10:44:28 batch_cost: 0.8734 data_cost: 0.0119 ips: 64.1149 images/s [03/18 22:24:59] ppdet.engine INFO: Epoch: [220] [200/523] learning_rate: 0.046072 loss_vfl: 1.044350 loss_bbox: 0.471392 loss_dfl: 0.438830 loss: 1.978118 eta: 10:44:10 batch_cost: 0.9402 data_cost: 0.0618 ips: 59.5636 images/s [03/18 22:25:20] ppdet.engine INFO: Epoch: [220] [220/523] learning_rate: 0.046030 loss_vfl: 1.008411 loss_bbox: 0.443604 loss_dfl: 0.424418 loss: 1.902110 eta: 10:43:51 batch_cost: 0.9254 data_cost: 0.1135 ips: 60.5157 images/s [03/18 22:25:39] ppdet.engine INFO: Epoch: [220] [240/523] learning_rate: 0.045988 loss_vfl: 0.975121 loss_bbox: 0.423302 loss_dfl: 0.400626 loss: 1.794656 eta: 10:43:32 batch_cost: 0.7988 data_cost: 0.0990 ips: 70.1045 images/s [03/18 22:26:00] ppdet.engine INFO: Epoch: [220] [260/523] learning_rate: 0.045947 loss_vfl: 0.992387 loss_bbox: 0.431999 loss_dfl: 0.412228 loss: 1.826338 eta: 10:43:12 batch_cost: 0.8319 data_cost: 0.0058 ips: 67.3158 images/s [03/18 22:26:18] ppdet.engine INFO: Epoch: [220] [280/523] learning_rate: 0.045905 loss_vfl: 1.024436 loss_bbox: 0.449621 loss_dfl: 0.424030 loss: 1.892919 eta: 10:42:53 batch_cost: 0.7729 data_cost: 0.0146 ips: 72.4498 images/s [03/18 22:26:40] ppdet.engine INFO: Epoch: [220] [300/523] learning_rate: 0.045863 loss_vfl: 0.991463 loss_bbox: 0.442430 loss_dfl: 0.404712 loss: 1.808101 eta: 10:42:34 batch_cost: 0.9268 data_cost: 0.0834 ips: 60.4242 images/s [03/18 22:27:03] ppdet.engine INFO: Epoch: [220] [320/523] learning_rate: 0.045822 loss_vfl: 0.991516 loss_bbox: 0.437448 loss_dfl: 0.418093 loss: 1.849880 eta: 10:42:16 batch_cost: 1.0267 data_cost: 0.3353 ips: 54.5454 images/s [03/18 22:27:26] ppdet.engine INFO: Epoch: [220] [340/523] learning_rate: 0.045780 loss_vfl: 1.074516 loss_bbox: 0.463386 loss_dfl: 0.442609 loss: 2.005018 eta: 10:41:58 batch_cost: 0.9379 data_cost: 0.2579 ips: 59.7092 images/s [03/18 22:27:49] ppdet.engine INFO: Epoch: [220] [360/523] learning_rate: 0.045739 loss_vfl: 0.967005 loss_bbox: 0.416288 loss_dfl: 0.412182 loss: 1.805926 eta: 10:41:40 batch_cost: 1.0245 data_cost: 0.3475 ips: 54.6584 images/s [03/18 22:28:11] ppdet.engine INFO: Epoch: [220] [380/523] learning_rate: 0.045697 loss_vfl: 0.955972 loss_bbox: 0.425951 loss_dfl: 0.409723 loss: 1.824528 eta: 10:41:21 batch_cost: 0.9237 data_cost: 0.0017 ips: 60.6238 images/s [03/18 22:28:33] ppdet.engine INFO: Epoch: [220] [400/523] learning_rate: 0.045656 loss_vfl: 1.032786 loss_bbox: 0.472082 loss_dfl: 0.422836 loss: 1.944761 eta: 10:41:03 batch_cost: 0.9432 data_cost: 0.2044 ips: 59.3717 images/s [03/18 22:28:57] ppdet.engine INFO: Epoch: [220] [420/523] learning_rate: 0.045614 loss_vfl: 0.999834 loss_bbox: 0.435568 loss_dfl: 0.412563 loss: 1.866534 eta: 10:40:45 batch_cost: 1.0287 data_cost: 0.3115 ips: 54.4366 images/s [03/18 22:29:17] ppdet.engine INFO: Epoch: [220] [440/523] learning_rate: 0.045573 loss_vfl: 1.064194 loss_bbox: 0.456690 loss_dfl: 0.425475 loss: 1.915182 eta: 10:40:25 batch_cost: 0.7963 data_cost: 0.1560 ips: 70.3209 images/s [03/18 22:29:38] ppdet.engine INFO: Epoch: [220] [460/523] learning_rate: 0.045531 loss_vfl: 0.988413 loss_bbox: 0.437839 loss_dfl: 0.412086 loss: 1.834778 eta: 10:40:07 batch_cost: 0.9282 data_cost: 0.1542 ips: 60.3341 images/s [03/18 22:29:58] ppdet.engine INFO: Epoch: [220] [480/523] learning_rate: 0.045490 loss_vfl: 1.035054 loss_bbox: 0.452495 loss_dfl: 0.429218 loss: 1.918296 eta: 10:39:48 batch_cost: 0.8240 data_cost: 0.1607 ips: 67.9599 images/s [03/18 22:30:16] ppdet.engine INFO: Epoch: [220] [500/523] learning_rate: 0.045448 loss_vfl: 1.016723 loss_bbox: 0.432138 loss_dfl: 0.426783 loss: 1.867521 eta: 10:39:27 batch_cost: 0.6926 data_cost: 0.0040 ips: 80.8538 images/s [03/18 22:30:32] ppdet.engine INFO: Epoch: [220] [520/523] learning_rate: 0.045407 loss_vfl: 1.013226 loss_bbox: 0.448815 loss_dfl: 0.427337 loss: 1.904692 eta: 10:39:07 batch_cost: 0.6451 data_cost: 0.0565 ips: 86.8083 images/s [03/18 22:30:45] ppdet.engine INFO: Epoch: [221] [ 0/523] learning_rate: 0.045401 loss_vfl: 1.019773 loss_bbox: 0.463931 loss_dfl: 0.433571 loss: 1.936405 eta: 10:39:07 batch_cost: 1.1451 data_cost: 0.5014 ips: 48.9049 images/s [03/18 22:31:08] ppdet.engine INFO: Epoch: [221] [ 20/523] learning_rate: 0.045359 loss_vfl: 1.062636 loss_bbox: 0.453890 loss_dfl: 0.433671 loss: 1.935746 eta: 10:38:49 batch_cost: 0.9320 data_cost: 0.0086 ips: 60.0855 images/s [03/18 22:31:33] ppdet.engine INFO: Epoch: [221] [ 40/523] learning_rate: 0.045318 loss_vfl: 0.982485 loss_bbox: 0.445861 loss_dfl: 0.416742 loss: 1.895595 eta: 10:38:30 batch_cost: 0.9604 data_cost: 0.0531 ips: 58.3107 images/s [03/18 22:31:54] ppdet.engine INFO: Epoch: [221] [ 60/523] learning_rate: 0.045277 loss_vfl: 0.991621 loss_bbox: 0.427472 loss_dfl: 0.417085 loss: 1.837010 eta: 10:38:12 batch_cost: 0.8816 data_cost: 0.0057 ips: 63.5220 images/s [03/18 22:32:19] ppdet.engine INFO: Epoch: [221] [ 80/523] learning_rate: 0.045235 loss_vfl: 1.010109 loss_bbox: 0.440945 loss_dfl: 0.418534 loss: 1.871159 eta: 10:37:53 batch_cost: 0.9995 data_cost: 0.0039 ips: 56.0267 images/s [03/18 22:32:39] ppdet.engine INFO: Epoch: [221] [100/523] learning_rate: 0.045194 loss_vfl: 0.966836 loss_bbox: 0.435066 loss_dfl: 0.413070 loss: 1.799299 eta: 10:37:34 batch_cost: 0.8590 data_cost: 0.0017 ips: 65.1940 images/s [03/18 22:33:04] ppdet.engine INFO: Epoch: [221] [120/523] learning_rate: 0.045153 loss_vfl: 1.037215 loss_bbox: 0.467150 loss_dfl: 0.423273 loss: 1.896693 eta: 10:37:17 batch_cost: 1.0594 data_cost: 0.1464 ips: 52.8613 images/s [03/18 22:33:29] ppdet.engine INFO: Epoch: [221] [140/523] learning_rate: 0.045111 loss_vfl: 0.996215 loss_bbox: 0.461904 loss_dfl: 0.420418 loss: 1.864619 eta: 10:36:59 batch_cost: 1.0836 data_cost: 0.0935 ips: 51.6810 images/s [03/18 22:33:51] ppdet.engine INFO: Epoch: [221] [160/523] learning_rate: 0.045070 loss_vfl: 1.022202 loss_bbox: 0.433525 loss_dfl: 0.420516 loss: 1.886027 eta: 10:36:41 batch_cost: 0.9119 data_cost: 0.0528 ips: 61.4080 images/s [03/18 22:34:15] ppdet.engine INFO: Epoch: [221] [180/523] learning_rate: 0.045029 loss_vfl: 1.029032 loss_bbox: 0.476862 loss_dfl: 0.437404 loss: 1.965723 eta: 10:36:23 batch_cost: 1.0081 data_cost: 0.1269 ips: 55.5507 images/s [03/18 22:34:32] ppdet.engine INFO: Epoch: [221] [200/523] learning_rate: 0.044987 loss_vfl: 0.994918 loss_bbox: 0.445165 loss_dfl: 0.421104 loss: 1.845817 eta: 10:36:03 batch_cost: 0.7661 data_cost: 0.0109 ips: 73.0971 images/s [03/18 22:34:52] ppdet.engine INFO: Epoch: [221] [220/523] learning_rate: 0.044946 loss_vfl: 0.987057 loss_bbox: 0.441959 loss_dfl: 0.419860 loss: 1.894722 eta: 10:35:43 batch_cost: 0.7561 data_cost: 0.0045 ips: 74.0635 images/s [03/18 22:35:12] ppdet.engine INFO: Epoch: [221] [240/523] learning_rate: 0.044905 loss_vfl: 1.038260 loss_bbox: 0.447558 loss_dfl: 0.421032 loss: 1.909621 eta: 10:35:24 batch_cost: 0.7944 data_cost: 0.0011 ips: 70.4908 images/s [03/18 22:35:35] ppdet.engine INFO: Epoch: [221] [260/523] learning_rate: 0.044864 loss_vfl: 0.975151 loss_bbox: 0.425309 loss_dfl: 0.410161 loss: 1.799007 eta: 10:35:05 batch_cost: 0.9865 data_cost: 0.2715 ips: 56.7662 images/s [03/18 22:36:00] ppdet.engine INFO: Epoch: [221] [280/523] learning_rate: 0.044823 loss_vfl: 1.061430 loss_bbox: 0.454569 loss_dfl: 0.439578 loss: 1.973721 eta: 10:34:48 batch_cost: 1.0883 data_cost: 0.0491 ips: 51.4569 images/s [03/18 22:36:22] ppdet.engine INFO: Epoch: [221] [300/523] learning_rate: 0.044781 loss_vfl: 1.017396 loss_bbox: 0.428566 loss_dfl: 0.415474 loss: 1.854807 eta: 10:34:30 batch_cost: 0.9699 data_cost: 0.1585 ips: 57.7392 images/s [03/18 22:36:44] ppdet.engine INFO: Epoch: [221] [320/523] learning_rate: 0.044740 loss_vfl: 1.055204 loss_bbox: 0.469334 loss_dfl: 0.452592 loss: 1.982425 eta: 10:34:11 batch_cost: 0.9275 data_cost: 0.0614 ips: 60.3762 images/s [03/18 22:37:10] ppdet.engine INFO: Epoch: [221] [340/523] learning_rate: 0.044699 loss_vfl: 0.991293 loss_bbox: 0.462234 loss_dfl: 0.432427 loss: 1.901609 eta: 10:33:53 batch_cost: 1.0238 data_cost: 0.2098 ips: 54.6957 images/s [03/18 22:37:32] ppdet.engine INFO: Epoch: [221] [360/523] learning_rate: 0.044658 loss_vfl: 1.019955 loss_bbox: 0.452741 loss_dfl: 0.437765 loss: 1.931316 eta: 10:33:35 batch_cost: 0.9003 data_cost: 0.0032 ips: 62.2049 images/s [03/18 22:37:54] ppdet.engine INFO: Epoch: [221] [380/523] learning_rate: 0.044617 loss_vfl: 0.972518 loss_bbox: 0.428375 loss_dfl: 0.412275 loss: 1.815523 eta: 10:33:16 batch_cost: 0.9298 data_cost: 0.2322 ips: 60.2266 images/s [03/18 22:38:18] ppdet.engine INFO: Epoch: [221] [400/523] learning_rate: 0.044576 loss_vfl: 1.037329 loss_bbox: 0.469610 loss_dfl: 0.431580 loss: 1.942469 eta: 10:32:59 batch_cost: 1.0975 data_cost: 0.3518 ips: 51.0262 images/s [03/18 22:38:40] ppdet.engine INFO: Epoch: [221] [420/523] learning_rate: 0.044535 loss_vfl: 1.019557 loss_bbox: 0.466472 loss_dfl: 0.431347 loss: 1.920291 eta: 10:32:40 batch_cost: 0.8816 data_cost: 0.0229 ips: 63.5222 images/s [03/18 22:38:58] ppdet.engine INFO: Epoch: [221] [440/523] learning_rate: 0.044494 loss_vfl: 1.002823 loss_bbox: 0.431218 loss_dfl: 0.424011 loss: 1.853372 eta: 10:32:20 batch_cost: 0.7821 data_cost: 0.0407 ips: 71.6046 images/s [03/18 22:39:17] ppdet.engine INFO: Epoch: [221] [460/523] learning_rate: 0.044452 loss_vfl: 1.022967 loss_bbox: 0.470603 loss_dfl: 0.435052 loss: 1.929805 eta: 10:32:01 batch_cost: 0.7750 data_cost: 0.0774 ips: 72.2559 images/s [03/18 22:39:37] ppdet.engine INFO: Epoch: [221] [480/523] learning_rate: 0.044411 loss_vfl: 0.985408 loss_bbox: 0.440135 loss_dfl: 0.410448 loss: 1.861775 eta: 10:31:42 batch_cost: 0.9128 data_cost: 0.1985 ips: 61.3473 images/s [03/18 22:40:02] ppdet.engine INFO: Epoch: [221] [500/523] learning_rate: 0.044370 loss_vfl: 1.025484 loss_bbox: 0.435326 loss_dfl: 0.424331 loss: 1.911692 eta: 10:31:24 batch_cost: 1.0904 data_cost: 0.1769 ips: 51.3571 images/s [03/18 22:40:19] ppdet.engine INFO: Epoch: [221] [520/523] learning_rate: 0.044329 loss_vfl: 1.040674 loss_bbox: 0.461924 loss_dfl: 0.438278 loss: 1.959977 eta: 10:31:05 batch_cost: 0.7553 data_cost: 0.0866 ips: 74.1456 images/s [03/18 22:40:32] ppdet.engine INFO: Epoch: [222] [ 0/523] learning_rate: 0.044323 loss_vfl: 1.040674 loss_bbox: 0.457374 loss_dfl: 0.438278 loss: 1.959977 eta: 10:31:05 batch_cost: 1.2260 data_cost: 0.4364 ips: 45.6753 images/s [03/18 22:40:56] ppdet.engine INFO: Epoch: [222] [ 20/523] learning_rate: 0.044282 loss_vfl: 0.964533 loss_bbox: 0.443045 loss_dfl: 0.417117 loss: 1.835178 eta: 10:30:47 batch_cost: 1.0262 data_cost: 0.0797 ips: 54.5728 images/s [03/18 22:41:15] ppdet.engine INFO: Epoch: [222] [ 40/523] learning_rate: 0.044241 loss_vfl: 1.069233 loss_bbox: 0.474859 loss_dfl: 0.443072 loss: 1.976619 eta: 10:30:27 batch_cost: 0.7461 data_cost: 0.0031 ips: 75.0594 images/s [03/18 22:41:41] ppdet.engine INFO: Epoch: [222] [ 60/523] learning_rate: 0.044200 loss_vfl: 0.985164 loss_bbox: 0.466253 loss_dfl: 0.435348 loss: 1.904500 eta: 10:30:11 batch_cost: 1.2077 data_cost: 0.2705 ips: 46.3679 images/s [03/18 22:42:04] ppdet.engine INFO: Epoch: [222] [ 80/523] learning_rate: 0.044159 loss_vfl: 0.953489 loss_bbox: 0.441706 loss_dfl: 0.411433 loss: 1.802045 eta: 10:29:53 batch_cost: 1.0073 data_cost: 0.1667 ips: 55.5917 images/s [03/18 22:42:26] ppdet.engine INFO: Epoch: [222] [100/523] learning_rate: 0.044118 loss_vfl: 1.000437 loss_bbox: 0.449820 loss_dfl: 0.421790 loss: 1.879635 eta: 10:29:34 batch_cost: 0.9496 data_cost: 0.0014 ips: 58.9727 images/s [03/18 22:42:48] ppdet.engine INFO: Epoch: [222] [120/523] learning_rate: 0.044077 loss_vfl: 1.018529 loss_bbox: 0.446382 loss_dfl: 0.421979 loss: 1.870711 eta: 10:29:15 batch_cost: 0.9032 data_cost: 0.0013 ips: 61.9997 images/s [03/18 22:43:10] ppdet.engine INFO: Epoch: [222] [140/523] learning_rate: 0.044037 loss_vfl: 0.987307 loss_bbox: 0.434371 loss_dfl: 0.415425 loss: 1.846226 eta: 10:28:57 batch_cost: 0.9551 data_cost: 0.0033 ips: 58.6355 images/s [03/18 22:43:32] ppdet.engine INFO: Epoch: [222] [160/523] learning_rate: 0.043996 loss_vfl: 0.948433 loss_bbox: 0.436959 loss_dfl: 0.407523 loss: 1.777441 eta: 10:28:38 batch_cost: 0.9240 data_cost: 0.0633 ips: 60.6073 images/s [03/18 22:43:49] ppdet.engine INFO: Epoch: [222] [180/523] learning_rate: 0.043955 loss_vfl: 0.980128 loss_bbox: 0.456493 loss_dfl: 0.424653 loss: 1.846242 eta: 10:28:19 batch_cost: 0.7346 data_cost: 0.0065 ips: 76.2292 images/s [03/18 22:44:07] ppdet.engine INFO: Epoch: [222] [200/523] learning_rate: 0.043914 loss_vfl: 1.050792 loss_bbox: 0.476606 loss_dfl: 0.448004 loss: 1.966225 eta: 10:27:59 batch_cost: 0.7944 data_cost: 0.0064 ips: 70.4897 images/s [03/18 22:44:31] ppdet.engine INFO: Epoch: [222] [220/523] learning_rate: 0.043873 loss_vfl: 0.982301 loss_bbox: 0.430195 loss_dfl: 0.413487 loss: 1.826295 eta: 10:27:41 batch_cost: 0.9311 data_cost: 0.0088 ips: 60.1427 images/s [03/18 22:44:51] ppdet.engine INFO: Epoch: [222] [240/523] learning_rate: 0.043832 loss_vfl: 1.031576 loss_bbox: 0.449285 loss_dfl: 0.421592 loss: 1.884014 eta: 10:27:22 batch_cost: 0.8846 data_cost: 0.0881 ips: 63.3027 images/s [03/18 22:45:16] ppdet.engine INFO: Epoch: [222] [260/523] learning_rate: 0.043791 loss_vfl: 0.984470 loss_bbox: 0.443260 loss_dfl: 0.414941 loss: 1.834793 eta: 10:27:04 batch_cost: 1.0480 data_cost: 0.1899 ips: 53.4337 images/s [03/18 22:45:39] ppdet.engine INFO: Epoch: [222] [280/523] learning_rate: 0.043751 loss_vfl: 1.014350 loss_bbox: 0.423769 loss_dfl: 0.409440 loss: 1.842697 eta: 10:26:46 batch_cost: 0.9855 data_cost: 0.0982 ips: 56.8253 images/s [03/18 22:46:00] ppdet.engine INFO: Epoch: [222] [300/523] learning_rate: 0.043710 loss_vfl: 1.020895 loss_bbox: 0.442928 loss_dfl: 0.426335 loss: 1.907270 eta: 10:26:27 batch_cost: 0.8331 data_cost: 0.0071 ips: 67.2195 images/s [03/18 22:46:22] ppdet.engine INFO: Epoch: [222] [320/523] learning_rate: 0.043669 loss_vfl: 0.979645 loss_bbox: 0.440759 loss_dfl: 0.413248 loss: 1.844962 eta: 10:26:08 batch_cost: 0.8671 data_cost: 0.0312 ips: 64.5860 images/s [03/18 22:46:44] ppdet.engine INFO: Epoch: [222] [340/523] learning_rate: 0.043628 loss_vfl: 1.052875 loss_bbox: 0.447889 loss_dfl: 0.428891 loss: 1.921337 eta: 10:25:49 batch_cost: 0.8966 data_cost: 0.0271 ips: 62.4586 images/s [03/18 22:47:06] ppdet.engine INFO: Epoch: [222] [360/523] learning_rate: 0.043588 loss_vfl: 1.015118 loss_bbox: 0.451283 loss_dfl: 0.419846 loss: 1.874056 eta: 10:25:30 batch_cost: 0.8681 data_cost: 0.0072 ips: 64.5096 images/s [03/18 22:47:29] ppdet.engine INFO: Epoch: [222] [380/523] learning_rate: 0.043547 loss_vfl: 1.038910 loss_bbox: 0.450454 loss_dfl: 0.417968 loss: 1.900343 eta: 10:25:12 batch_cost: 1.0043 data_cost: 0.1161 ips: 55.7598 images/s [03/18 22:47:51] ppdet.engine INFO: Epoch: [222] [400/523] learning_rate: 0.043506 loss_vfl: 1.039061 loss_bbox: 0.458869 loss_dfl: 0.438741 loss: 1.936592 eta: 10:24:53 batch_cost: 0.9509 data_cost: 0.0042 ips: 58.8891 images/s [03/18 22:48:10] ppdet.engine INFO: Epoch: [222] [420/523] learning_rate: 0.043465 loss_vfl: 1.016053 loss_bbox: 0.449285 loss_dfl: 0.420232 loss: 1.889191 eta: 10:24:34 batch_cost: 0.8249 data_cost: 0.0915 ips: 67.8838 images/s [03/18 22:48:28] ppdet.engine INFO: Epoch: [222] [440/523] learning_rate: 0.043425 loss_vfl: 0.991961 loss_bbox: 0.419449 loss_dfl: 0.400490 loss: 1.803666 eta: 10:24:15 batch_cost: 0.7959 data_cost: 0.1069 ips: 70.3585 images/s [03/18 22:48:50] ppdet.engine INFO: Epoch: [222] [460/523] learning_rate: 0.043384 loss_vfl: 1.012231 loss_bbox: 0.440807 loss_dfl: 0.415109 loss: 1.871110 eta: 10:23:56 batch_cost: 0.9381 data_cost: 0.0074 ips: 59.6975 images/s [03/18 22:49:13] ppdet.engine INFO: Epoch: [222] [480/523] learning_rate: 0.043343 loss_vfl: 1.002823 loss_bbox: 0.443159 loss_dfl: 0.411176 loss: 1.850939 eta: 10:23:38 batch_cost: 1.0372 data_cost: 0.0025 ips: 53.9932 images/s [03/18 22:49:35] ppdet.engine INFO: Epoch: [222] [500/523] learning_rate: 0.043303 loss_vfl: 1.045670 loss_bbox: 0.477788 loss_dfl: 0.447022 loss: 1.964872 eta: 10:23:20 batch_cost: 0.9523 data_cost: 0.0092 ips: 58.8025 images/s [03/18 22:49:51] ppdet.engine INFO: Epoch: [222] [520/523] learning_rate: 0.043262 loss_vfl: 1.006798 loss_bbox: 0.460538 loss_dfl: 0.424671 loss: 1.895974 eta: 10:23:00 batch_cost: 0.7054 data_cost: 0.0045 ips: 79.3928 images/s [03/18 22:50:05] ppdet.engine INFO: Epoch: [223] [ 0/523] learning_rate: 0.043256 loss_vfl: 1.024213 loss_bbox: 0.465970 loss_dfl: 0.427780 loss: 1.919232 eta: 10:23:00 batch_cost: 1.1337 data_cost: 0.3818 ips: 49.3963 images/s [03/18 22:50:29] ppdet.engine INFO: Epoch: [223] [ 20/523] learning_rate: 0.043216 loss_vfl: 1.000453 loss_bbox: 0.440735 loss_dfl: 0.423411 loss: 1.865075 eta: 10:22:43 batch_cost: 1.1193 data_cost: 0.0007 ips: 50.0307 images/s [03/18 22:50:51] ppdet.engine INFO: Epoch: [223] [ 40/523] learning_rate: 0.043175 loss_vfl: 1.008688 loss_bbox: 0.431874 loss_dfl: 0.421016 loss: 1.860361 eta: 10:22:23 batch_cost: 0.8057 data_cost: 0.0037 ips: 69.5053 images/s [03/18 22:51:15] ppdet.engine INFO: Epoch: [223] [ 60/523] learning_rate: 0.043134 loss_vfl: 0.991242 loss_bbox: 0.454348 loss_dfl: 0.427251 loss: 1.872537 eta: 10:22:05 batch_cost: 0.9625 data_cost: 0.1059 ips: 58.1821 images/s [03/18 22:51:39] ppdet.engine INFO: Epoch: [223] [ 80/523] learning_rate: 0.043094 loss_vfl: 1.007910 loss_bbox: 0.437933 loss_dfl: 0.421209 loss: 1.878651 eta: 10:21:47 batch_cost: 0.9772 data_cost: 0.1286 ips: 57.3075 images/s [03/18 22:52:03] ppdet.engine INFO: Epoch: [223] [100/523] learning_rate: 0.043053 loss_vfl: 1.003866 loss_bbox: 0.448771 loss_dfl: 0.420183 loss: 1.872030 eta: 10:21:29 batch_cost: 1.0382 data_cost: 0.1943 ips: 53.9400 images/s [03/18 22:52:26] ppdet.engine INFO: Epoch: [223] [120/523] learning_rate: 0.043013 loss_vfl: 0.997366 loss_bbox: 0.431123 loss_dfl: 0.406071 loss: 1.843637 eta: 10:21:11 batch_cost: 1.0546 data_cost: 0.2796 ips: 53.0992 images/s [03/18 22:52:44] ppdet.engine INFO: Epoch: [223] [140/523] learning_rate: 0.042972 loss_vfl: 1.026481 loss_bbox: 0.439731 loss_dfl: 0.422692 loss: 1.876338 eta: 10:20:51 batch_cost: 0.6760 data_cost: 0.0353 ips: 82.8412 images/s [03/18 22:53:04] ppdet.engine INFO: Epoch: [223] [160/523] learning_rate: 0.042932 loss_vfl: 1.001684 loss_bbox: 0.474106 loss_dfl: 0.433048 loss: 1.936868 eta: 10:20:32 batch_cost: 0.8914 data_cost: 0.0449 ips: 62.8260 images/s [03/18 22:53:27] ppdet.engine INFO: Epoch: [223] [180/523] learning_rate: 0.042891 loss_vfl: 1.008018 loss_bbox: 0.462667 loss_dfl: 0.422878 loss: 1.884670 eta: 10:20:14 batch_cost: 0.9860 data_cost: 0.0050 ips: 56.7927 images/s [03/18 22:53:51] ppdet.engine INFO: Epoch: [223] [200/523] learning_rate: 0.042851 loss_vfl: 0.978660 loss_bbox: 0.434069 loss_dfl: 0.412223 loss: 1.818362 eta: 10:19:56 batch_cost: 0.9855 data_cost: 0.0721 ips: 56.8223 images/s [03/18 22:54:12] ppdet.engine INFO: Epoch: [223] [220/523] learning_rate: 0.042810 loss_vfl: 1.008602 loss_bbox: 0.471871 loss_dfl: 0.435267 loss: 1.901992 eta: 10:19:37 batch_cost: 0.8467 data_cost: 0.1682 ips: 66.1374 images/s [03/18 22:54:36] ppdet.engine INFO: Epoch: [223] [240/523] learning_rate: 0.042770 loss_vfl: 1.042555 loss_bbox: 0.458904 loss_dfl: 0.433905 loss: 1.944049 eta: 10:19:19 batch_cost: 1.0101 data_cost: 0.1092 ips: 55.4423 images/s [03/18 22:55:00] ppdet.engine INFO: Epoch: [223] [260/523] learning_rate: 0.042730 loss_vfl: 1.016091 loss_bbox: 0.465677 loss_dfl: 0.436804 loss: 1.920702 eta: 10:19:01 batch_cost: 0.9895 data_cost: 0.1592 ips: 56.5938 images/s [03/18 22:55:22] ppdet.engine INFO: Epoch: [223] [280/523] learning_rate: 0.042689 loss_vfl: 1.029643 loss_bbox: 0.443548 loss_dfl: 0.416615 loss: 1.893298 eta: 10:18:42 batch_cost: 0.9566 data_cost: 0.1461 ips: 58.5412 images/s [03/18 22:55:45] ppdet.engine INFO: Epoch: [223] [300/523] learning_rate: 0.042649 loss_vfl: 0.977990 loss_bbox: 0.442300 loss_dfl: 0.424956 loss: 1.858643 eta: 10:18:24 batch_cost: 0.9880 data_cost: 0.1588 ips: 56.6807 images/s [03/18 22:56:11] ppdet.engine INFO: Epoch: [223] [320/523] learning_rate: 0.042609 loss_vfl: 0.980057 loss_bbox: 0.431720 loss_dfl: 0.405912 loss: 1.807637 eta: 10:18:06 batch_cost: 1.0458 data_cost: 0.1172 ips: 53.5481 images/s [03/18 22:56:31] ppdet.engine INFO: Epoch: [223] [340/523] learning_rate: 0.042568 loss_vfl: 0.991758 loss_bbox: 0.444605 loss_dfl: 0.416636 loss: 1.842273 eta: 10:17:47 batch_cost: 0.8652 data_cost: 0.1016 ips: 64.7279 images/s [03/18 22:56:56] ppdet.engine INFO: Epoch: [223] [360/523] learning_rate: 0.042528 loss_vfl: 1.056313 loss_bbox: 0.482286 loss_dfl: 0.446701 loss: 1.999748 eta: 10:17:30 batch_cost: 1.0765 data_cost: 0.2281 ips: 52.0216 images/s [03/18 22:57:14] ppdet.engine INFO: Epoch: [223] [380/523] learning_rate: 0.042488 loss_vfl: 0.960427 loss_bbox: 0.422374 loss_dfl: 0.400246 loss: 1.780715 eta: 10:17:10 batch_cost: 0.7905 data_cost: 0.0030 ips: 70.8421 images/s [03/18 22:57:32] ppdet.engine INFO: Epoch: [223] [400/523] learning_rate: 0.042447 loss_vfl: 1.011050 loss_bbox: 0.455958 loss_dfl: 0.415439 loss: 1.851694 eta: 10:16:50 batch_cost: 0.6704 data_cost: 0.0050 ips: 83.5265 images/s [03/18 22:57:54] ppdet.engine INFO: Epoch: [223] [420/523] learning_rate: 0.042407 loss_vfl: 1.009108 loss_bbox: 0.445410 loss_dfl: 0.429936 loss: 1.946151 eta: 10:16:32 batch_cost: 0.9918 data_cost: 0.0991 ips: 56.4617 images/s [03/18 22:58:18] ppdet.engine INFO: Epoch: [223] [440/523] learning_rate: 0.042367 loss_vfl: 1.004469 loss_bbox: 0.428801 loss_dfl: 0.417372 loss: 1.870821 eta: 10:16:14 batch_cost: 1.0486 data_cost: 0.2358 ips: 53.4034 images/s [03/18 22:58:41] ppdet.engine INFO: Epoch: [223] [460/523] learning_rate: 0.042326 loss_vfl: 1.015437 loss_bbox: 0.437739 loss_dfl: 0.418083 loss: 1.877147 eta: 10:15:56 batch_cost: 1.0000 data_cost: 0.2984 ips: 56.0024 images/s [03/18 22:59:05] ppdet.engine INFO: Epoch: [223] [480/523] learning_rate: 0.042286 loss_vfl: 0.992690 loss_bbox: 0.448946 loss_dfl: 0.422854 loss: 1.870168 eta: 10:15:38 batch_cost: 0.9755 data_cost: 0.1981 ips: 57.4070 images/s [03/18 22:59:28] ppdet.engine INFO: Epoch: [223] [500/523] learning_rate: 0.042246 loss_vfl: 1.006113 loss_bbox: 0.437819 loss_dfl: 0.413401 loss: 1.872164 eta: 10:15:20 batch_cost: 0.9859 data_cost: 0.2916 ips: 56.7981 images/s [03/18 22:59:46] ppdet.engine INFO: Epoch: [223] [520/523] learning_rate: 0.042206 loss_vfl: 0.995793 loss_bbox: 0.445262 loss_dfl: 0.414571 loss: 1.870261 eta: 10:15:00 batch_cost: 0.8144 data_cost: 0.1899 ips: 68.7640 images/s [03/18 23:00:01] ppdet.engine INFO: Epoch: [224] [ 0/523] learning_rate: 0.042200 loss_vfl: 0.986751 loss_bbox: 0.445262 loss_dfl: 0.410580 loss: 1.861095 eta: 10:15:01 batch_cost: 1.3464 data_cost: 0.7026 ips: 41.5927 images/s [03/18 23:00:24] ppdet.engine INFO: Epoch: [224] [ 20/523] learning_rate: 0.042160 loss_vfl: 1.039379 loss_bbox: 0.457419 loss_dfl: 0.426672 loss: 1.900261 eta: 10:14:43 batch_cost: 0.9474 data_cost: 0.0021 ips: 59.1061 images/s [03/18 23:00:49] ppdet.engine INFO: Epoch: [224] [ 40/523] learning_rate: 0.042119 loss_vfl: 1.046802 loss_bbox: 0.463279 loss_dfl: 0.445709 loss: 1.957000 eta: 10:14:25 batch_cost: 1.0923 data_cost: 0.0063 ips: 51.2702 images/s [03/18 23:01:14] ppdet.engine INFO: Epoch: [224] [ 60/523] learning_rate: 0.042079 loss_vfl: 1.027877 loss_bbox: 0.456020 loss_dfl: 0.427135 loss: 1.923193 eta: 10:14:07 batch_cost: 0.9625 data_cost: 0.0072 ips: 58.1822 images/s [03/18 23:01:33] ppdet.engine INFO: Epoch: [224] [ 80/523] learning_rate: 0.042039 loss_vfl: 0.994969 loss_bbox: 0.447276 loss_dfl: 0.426396 loss: 1.868430 eta: 10:13:47 batch_cost: 0.7880 data_cost: 0.0065 ips: 71.0671 images/s [03/18 23:01:52] ppdet.engine INFO: Epoch: [224] [100/523] learning_rate: 0.041999 loss_vfl: 1.060821 loss_bbox: 0.463070 loss_dfl: 0.425376 loss: 1.932916 eta: 10:13:28 batch_cost: 0.7754 data_cost: 0.0251 ips: 72.2170 images/s [03/18 23:02:15] ppdet.engine INFO: Epoch: [224] [120/523] learning_rate: 0.041959 loss_vfl: 0.992905 loss_bbox: 0.425983 loss_dfl: 0.418300 loss: 1.824783 eta: 10:13:10 batch_cost: 1.0183 data_cost: 0.0048 ips: 54.9958 images/s [03/18 23:02:36] ppdet.engine INFO: Epoch: [224] [140/523] learning_rate: 0.041919 loss_vfl: 1.017368 loss_bbox: 0.459491 loss_dfl: 0.423587 loss: 1.900840 eta: 10:12:51 batch_cost: 0.8810 data_cost: 0.0559 ips: 63.5670 images/s [03/18 23:03:03] ppdet.engine INFO: Epoch: [224] [160/523] learning_rate: 0.041879 loss_vfl: 1.044425 loss_bbox: 0.443825 loss_dfl: 0.421171 loss: 1.901698 eta: 10:12:33 batch_cost: 1.0441 data_cost: 0.1685 ips: 53.6367 images/s [03/18 23:03:27] ppdet.engine INFO: Epoch: [224] [180/523] learning_rate: 0.041839 loss_vfl: 0.984610 loss_bbox: 0.417193 loss_dfl: 0.398981 loss: 1.801949 eta: 10:12:14 batch_cost: 0.8526 data_cost: 0.0023 ips: 65.6849 images/s [03/18 23:03:51] ppdet.engine INFO: Epoch: [224] [200/523] learning_rate: 0.041799 loss_vfl: 0.973780 loss_bbox: 0.431905 loss_dfl: 0.410412 loss: 1.810942 eta: 10:11:57 batch_cost: 1.1002 data_cost: 0.0033 ips: 50.9008 images/s [03/18 23:04:13] ppdet.engine INFO: Epoch: [224] [220/523] learning_rate: 0.041759 loss_vfl: 1.038421 loss_bbox: 0.432280 loss_dfl: 0.421199 loss: 1.877879 eta: 10:11:38 batch_cost: 0.9389 data_cost: 0.0042 ips: 59.6464 images/s [03/18 23:04:37] ppdet.engine INFO: Epoch: [224] [240/523] learning_rate: 0.041719 loss_vfl: 1.007841 loss_bbox: 0.452837 loss_dfl: 0.432302 loss: 1.907015 eta: 10:11:20 batch_cost: 0.9971 data_cost: 0.0385 ips: 56.1649 images/s [03/18 23:05:00] ppdet.engine INFO: Epoch: [224] [260/523] learning_rate: 0.041679 loss_vfl: 0.962157 loss_bbox: 0.422275 loss_dfl: 0.415068 loss: 1.818037 eta: 10:11:02 batch_cost: 0.9793 data_cost: 0.0054 ips: 57.1840 images/s [03/18 23:05:26] ppdet.engine INFO: Epoch: [224] [280/523] learning_rate: 0.041639 loss_vfl: 1.013629 loss_bbox: 0.435665 loss_dfl: 0.416827 loss: 1.850737 eta: 10:10:44 batch_cost: 1.0815 data_cost: 0.2089 ips: 51.7789 images/s [03/18 23:05:48] ppdet.engine INFO: Epoch: [224] [300/523] learning_rate: 0.041599 loss_vfl: 1.019903 loss_bbox: 0.452479 loss_dfl: 0.423597 loss: 1.921048 eta: 10:10:26 batch_cost: 1.0168 data_cost: 0.0772 ips: 55.0752 images/s [03/18 23:06:06] ppdet.engine INFO: Epoch: [224] [320/523] learning_rate: 0.041559 loss_vfl: 1.031185 loss_bbox: 0.443228 loss_dfl: 0.425331 loss: 1.900588 eta: 10:10:06 batch_cost: 0.6981 data_cost: 0.0028 ips: 80.2155 images/s [03/18 23:06:25] ppdet.engine INFO: Epoch: [224] [340/523] learning_rate: 0.041519 loss_vfl: 0.983634 loss_bbox: 0.462831 loss_dfl: 0.432142 loss: 1.877627 eta: 10:09:47 batch_cost: 0.8115 data_cost: 0.0025 ips: 69.0062 images/s [03/18 23:06:47] ppdet.engine INFO: Epoch: [224] [360/523] learning_rate: 0.041479 loss_vfl: 1.001715 loss_bbox: 0.434301 loss_dfl: 0.412587 loss: 1.855002 eta: 10:09:28 batch_cost: 0.9000 data_cost: 0.0053 ips: 62.2244 images/s [03/18 23:07:12] ppdet.engine INFO: Epoch: [224] [380/523] learning_rate: 0.041439 loss_vfl: 1.005503 loss_bbox: 0.425447 loss_dfl: 0.419927 loss: 1.861174 eta: 10:09:11 batch_cost: 1.1121 data_cost: 0.0130 ips: 50.3558 images/s [03/18 23:07:35] ppdet.engine INFO: Epoch: [224] [400/523] learning_rate: 0.041399 loss_vfl: 1.025019 loss_bbox: 0.452155 loss_dfl: 0.436256 loss: 1.938195 eta: 10:08:52 batch_cost: 0.9208 data_cost: 0.0104 ips: 60.8189 images/s [03/18 23:08:00] ppdet.engine INFO: Epoch: [224] [420/523] learning_rate: 0.041359 loss_vfl: 0.997684 loss_bbox: 0.456962 loss_dfl: 0.433857 loss: 1.890326 eta: 10:08:33 batch_cost: 0.8715 data_cost: 0.0043 ips: 64.2566 images/s [03/18 23:08:20] ppdet.engine INFO: Epoch: [224] [440/523] learning_rate: 0.041319 loss_vfl: 1.023858 loss_bbox: 0.447301 loss_dfl: 0.423070 loss: 1.899219 eta: 10:08:14 batch_cost: 0.8462 data_cost: 0.0040 ips: 66.1769 images/s [03/18 23:08:44] ppdet.engine INFO: Epoch: [224] [460/523] learning_rate: 0.041279 loss_vfl: 1.010226 loss_bbox: 0.449216 loss_dfl: 0.417613 loss: 1.883158 eta: 10:07:56 batch_cost: 1.0219 data_cost: 0.0537 ips: 54.7974 images/s [03/18 23:09:09] ppdet.engine INFO: Epoch: [224] [480/523] learning_rate: 0.041240 loss_vfl: 1.003041 loss_bbox: 0.438242 loss_dfl: 0.426794 loss: 1.874360 eta: 10:07:39 batch_cost: 1.1068 data_cost: 0.3409 ips: 50.5976 images/s [03/18 23:09:32] ppdet.engine INFO: Epoch: [224] [500/523] learning_rate: 0.041200 loss_vfl: 0.976050 loss_bbox: 0.435117 loss_dfl: 0.411474 loss: 1.826491 eta: 10:07:21 batch_cost: 1.0016 data_cost: 0.1493 ips: 55.9116 images/s [03/18 23:09:51] ppdet.engine INFO: Epoch: [224] [520/523] learning_rate: 0.041160 loss_vfl: 0.979473 loss_bbox: 0.439709 loss_dfl: 0.418365 loss: 1.807636 eta: 10:07:02 batch_cost: 0.8593 data_cost: 0.2188 ips: 65.1696 images/s [03/18 23:10:04] ppdet.engine INFO: Epoch: [225] [ 0/523] learning_rate: 0.041154 loss_vfl: 0.979779 loss_bbox: 0.439709 loss_dfl: 0.418365 loss: 1.824505 eta: 10:07:02 batch_cost: 1.3357 data_cost: 0.6612 ips: 41.9256 images/s [03/18 23:10:23] ppdet.engine INFO: Epoch: [225] [ 20/523] learning_rate: 0.041114 loss_vfl: 0.955028 loss_bbox: 0.436344 loss_dfl: 0.408628 loss: 1.782449 eta: 10:06:42 batch_cost: 0.7132 data_cost: 0.0030 ips: 78.5225 images/s [03/18 23:10:40] ppdet.engine INFO: Epoch: [225] [ 40/523] learning_rate: 0.041075 loss_vfl: 0.974159 loss_bbox: 0.426841 loss_dfl: 0.411471 loss: 1.831284 eta: 10:06:22 batch_cost: 0.7428 data_cost: 0.0043 ips: 75.3947 images/s [03/18 23:11:03] ppdet.engine INFO: Epoch: [225] [ 60/523] learning_rate: 0.041035 loss_vfl: 1.002424 loss_bbox: 0.440001 loss_dfl: 0.432362 loss: 1.878381 eta: 10:06:04 batch_cost: 0.9865 data_cost: 0.0901 ips: 56.7641 images/s [03/18 23:11:26] ppdet.engine INFO: Epoch: [225] [ 80/523] learning_rate: 0.040995 loss_vfl: 1.000958 loss_bbox: 0.443684 loss_dfl: 0.410303 loss: 1.859233 eta: 10:05:45 batch_cost: 0.9620 data_cost: 0.2178 ips: 58.2129 images/s [03/18 23:11:48] ppdet.engine INFO: Epoch: [225] [100/523] learning_rate: 0.040955 loss_vfl: 1.015113 loss_bbox: 0.450939 loss_dfl: 0.431936 loss: 1.908708 eta: 10:05:26 batch_cost: 0.7921 data_cost: 0.0564 ips: 70.6971 images/s [03/18 23:12:09] ppdet.engine INFO: Epoch: [225] [120/523] learning_rate: 0.040916 loss_vfl: 1.020392 loss_bbox: 0.458370 loss_dfl: 0.427321 loss: 1.910161 eta: 10:05:07 batch_cost: 0.9381 data_cost: 0.0359 ips: 59.6938 images/s [03/18 23:12:32] ppdet.engine INFO: Epoch: [225] [140/523] learning_rate: 0.040876 loss_vfl: 0.979772 loss_bbox: 0.451778 loss_dfl: 0.418456 loss: 1.851653 eta: 10:04:49 batch_cost: 0.9226 data_cost: 0.0935 ips: 60.6990 images/s [03/18 23:12:54] ppdet.engine INFO: Epoch: [225] [160/523] learning_rate: 0.040836 loss_vfl: 0.975930 loss_bbox: 0.423600 loss_dfl: 0.423270 loss: 1.839482 eta: 10:04:30 batch_cost: 0.8691 data_cost: 0.0098 ips: 64.4312 images/s [03/18 23:13:13] ppdet.engine INFO: Epoch: [225] [180/523] learning_rate: 0.040797 loss_vfl: 1.067327 loss_bbox: 0.444437 loss_dfl: 0.422666 loss: 1.937737 eta: 10:04:11 batch_cost: 0.8396 data_cost: 0.0148 ips: 66.6949 images/s [03/18 23:13:37] ppdet.engine INFO: Epoch: [225] [200/523] learning_rate: 0.040757 loss_vfl: 0.948120 loss_bbox: 0.420838 loss_dfl: 0.390622 loss: 1.744072 eta: 10:03:53 batch_cost: 1.0132 data_cost: 0.1190 ips: 55.2705 images/s [03/18 23:13:59] ppdet.engine INFO: Epoch: [225] [220/523] learning_rate: 0.040718 loss_vfl: 1.006265 loss_bbox: 0.430805 loss_dfl: 0.422552 loss: 1.873626 eta: 10:03:35 batch_cost: 0.9843 data_cost: 0.1405 ips: 56.8943 images/s [03/18 23:14:22] ppdet.engine INFO: Epoch: [225] [240/523] learning_rate: 0.040678 loss_vfl: 1.044906 loss_bbox: 0.483169 loss_dfl: 0.451810 loss: 1.974867 eta: 10:03:16 batch_cost: 0.9419 data_cost: 0.0391 ips: 59.4545 images/s [03/18 23:14:45] ppdet.engine INFO: Epoch: [225] [260/523] learning_rate: 0.040638 loss_vfl: 1.059590 loss_bbox: 0.437436 loss_dfl: 0.445314 loss: 1.925569 eta: 10:02:58 batch_cost: 0.9760 data_cost: 0.1662 ips: 57.3755 images/s [03/18 23:15:05] ppdet.engine INFO: Epoch: [225] [280/523] learning_rate: 0.040599 loss_vfl: 1.010199 loss_bbox: 0.434488 loss_dfl: 0.420438 loss: 1.819398 eta: 10:02:39 batch_cost: 0.8804 data_cost: 0.2079 ips: 63.6077 images/s [03/18 23:15:23] ppdet.engine INFO: Epoch: [225] [300/523] learning_rate: 0.040559 loss_vfl: 1.049697 loss_bbox: 0.469684 loss_dfl: 0.442071 loss: 1.962541 eta: 10:02:20 batch_cost: 0.8070 data_cost: 0.0051 ips: 69.3903 images/s [03/18 23:15:41] ppdet.engine INFO: Epoch: [225] [320/523] learning_rate: 0.040520 loss_vfl: 0.986992 loss_bbox: 0.433796 loss_dfl: 0.418936 loss: 1.843521 eta: 10:02:00 batch_cost: 0.7698 data_cost: 0.0118 ips: 72.7426 images/s [03/18 23:16:03] ppdet.engine INFO: Epoch: [225] [340/523] learning_rate: 0.040480 loss_vfl: 0.992701 loss_bbox: 0.436102 loss_dfl: 0.402233 loss: 1.826922 eta: 10:01:42 batch_cost: 0.9564 data_cost: 0.0640 ips: 58.5540 images/s [03/18 23:16:25] ppdet.engine INFO: Epoch: [225] [360/523] learning_rate: 0.040441 loss_vfl: 0.989222 loss_bbox: 0.424698 loss_dfl: 0.422302 loss: 1.842331 eta: 10:01:23 batch_cost: 0.9247 data_cost: 0.0299 ips: 60.5626 images/s [03/18 23:16:49] ppdet.engine INFO: Epoch: [225] [380/523] learning_rate: 0.040401 loss_vfl: 1.018810 loss_bbox: 0.454285 loss_dfl: 0.437353 loss: 1.903962 eta: 10:01:05 batch_cost: 1.0251 data_cost: 0.1159 ips: 54.6262 images/s [03/18 23:17:10] ppdet.engine INFO: Epoch: [225] [400/523] learning_rate: 0.040362 loss_vfl: 1.026125 loss_bbox: 0.468229 loss_dfl: 0.427719 loss: 1.898324 eta: 10:00:46 batch_cost: 0.8662 data_cost: 0.0329 ips: 64.6494 images/s [03/18 23:17:34] ppdet.engine INFO: Epoch: [225] [420/523] learning_rate: 0.040322 loss_vfl: 0.990297 loss_bbox: 0.451398 loss_dfl: 0.427827 loss: 1.891714 eta: 10:00:28 batch_cost: 1.0046 data_cost: 0.0025 ips: 55.7418 images/s [03/18 23:17:54] ppdet.engine INFO: Epoch: [225] [440/523] learning_rate: 0.040283 loss_vfl: 1.001343 loss_bbox: 0.436651 loss_dfl: 0.417192 loss: 1.867005 eta: 10:00:09 batch_cost: 0.8055 data_cost: 0.0032 ips: 69.5206 images/s [03/18 23:18:16] ppdet.engine INFO: Epoch: [225] [460/523] learning_rate: 0.040243 loss_vfl: 0.989833 loss_bbox: 0.421103 loss_dfl: 0.402438 loss: 1.810811 eta: 9:59:50 batch_cost: 0.8938 data_cost: 0.0047 ips: 62.6517 images/s [03/18 23:18:41] ppdet.engine INFO: Epoch: [225] [480/523] learning_rate: 0.040204 loss_vfl: 0.976073 loss_bbox: 0.424106 loss_dfl: 0.406177 loss: 1.793552 eta: 9:59:32 batch_cost: 1.1243 data_cost: 0.0036 ips: 49.8087 images/s [03/18 23:19:02] ppdet.engine INFO: Epoch: [225] [500/523] learning_rate: 0.040165 loss_vfl: 1.002043 loss_bbox: 0.422621 loss_dfl: 0.404730 loss: 1.842390 eta: 9:59:14 batch_cost: 0.9175 data_cost: 0.0085 ips: 61.0363 images/s [03/18 23:19:19] ppdet.engine INFO: Epoch: [225] [520/523] learning_rate: 0.040125 loss_vfl: 0.996145 loss_bbox: 0.425857 loss_dfl: 0.403378 loss: 1.814939 eta: 9:58:54 batch_cost: 0.7972 data_cost: 0.0048 ips: 70.2439 images/s [03/18 23:19:32] ppdet.engine INFO: Epoch: [226] [ 0/523] learning_rate: 0.040119 loss_vfl: 0.998615 loss_bbox: 0.429732 loss_dfl: 0.409685 loss: 1.861834 eta: 9:58:54 batch_cost: 1.2695 data_cost: 0.4206 ips: 44.1129 images/s [03/18 23:19:48] ppdet.engine INFO: Epoch: [226] [ 20/523] learning_rate: 0.040080 loss_vfl: 1.008876 loss_bbox: 0.436620 loss_dfl: 0.426095 loss: 1.895333 eta: 9:58:34 batch_cost: 0.7004 data_cost: 0.0016 ips: 79.9520 images/s [03/18 23:20:09] ppdet.engine INFO: Epoch: [226] [ 40/523] learning_rate: 0.040041 loss_vfl: 1.006238 loss_bbox: 0.406736 loss_dfl: 0.401334 loss: 1.808434 eta: 9:58:15 batch_cost: 0.8393 data_cost: 0.0021 ips: 66.7223 images/s [03/18 23:20:29] ppdet.engine INFO: Epoch: [226] [ 60/523] learning_rate: 0.040001 loss_vfl: 0.942544 loss_bbox: 0.409493 loss_dfl: 0.395861 loss: 1.729924 eta: 9:57:56 batch_cost: 0.9070 data_cost: 0.0180 ips: 61.7441 images/s [03/18 23:20:52] ppdet.engine INFO: Epoch: [226] [ 80/523] learning_rate: 0.039962 loss_vfl: 1.023941 loss_bbox: 0.445302 loss_dfl: 0.420568 loss: 1.877460 eta: 9:57:38 batch_cost: 0.9651 data_cost: 0.0386 ips: 58.0221 images/s [03/18 23:21:11] ppdet.engine INFO: Epoch: [226] [100/523] learning_rate: 0.039923 loss_vfl: 1.017186 loss_bbox: 0.430203 loss_dfl: 0.417254 loss: 1.851886 eta: 9:57:19 batch_cost: 0.8489 data_cost: 0.0639 ips: 65.9667 images/s [03/18 23:21:33] ppdet.engine INFO: Epoch: [226] [120/523] learning_rate: 0.039883 loss_vfl: 1.032057 loss_bbox: 0.474484 loss_dfl: 0.438503 loss: 1.948458 eta: 9:57:01 batch_cost: 0.9831 data_cost: 0.1837 ips: 56.9641 images/s [03/18 23:21:56] ppdet.engine INFO: Epoch: [226] [140/523] learning_rate: 0.039844 loss_vfl: 0.996763 loss_bbox: 0.440344 loss_dfl: 0.412254 loss: 1.851354 eta: 9:56:43 batch_cost: 1.0257 data_cost: 0.2576 ips: 54.5977 images/s [03/18 23:22:16] ppdet.engine INFO: Epoch: [226] [160/523] learning_rate: 0.039805 loss_vfl: 1.026527 loss_bbox: 0.447440 loss_dfl: 0.417085 loss: 1.877138 eta: 9:56:24 batch_cost: 0.9284 data_cost: 0.1708 ips: 60.3183 images/s [03/18 23:22:38] ppdet.engine INFO: Epoch: [226] [180/523] learning_rate: 0.039766 loss_vfl: 1.075186 loss_bbox: 0.473697 loss_dfl: 0.447252 loss: 2.001681 eta: 9:56:06 batch_cost: 0.9238 data_cost: 0.1885 ips: 60.6219 images/s [03/18 23:23:01] ppdet.engine INFO: Epoch: [226] [200/523] learning_rate: 0.039727 loss_vfl: 1.004953 loss_bbox: 0.428463 loss_dfl: 0.411284 loss: 1.851190 eta: 9:55:48 batch_cost: 0.9944 data_cost: 0.0188 ips: 56.3129 images/s [03/18 23:23:22] ppdet.engine INFO: Epoch: [226] [220/523] learning_rate: 0.039687 loss_vfl: 1.006132 loss_bbox: 0.443671 loss_dfl: 0.416448 loss: 1.852717 eta: 9:55:29 batch_cost: 0.8956 data_cost: 0.0093 ips: 62.5261 images/s [03/18 23:23:41] ppdet.engine INFO: Epoch: [226] [240/523] learning_rate: 0.039648 loss_vfl: 1.032212 loss_bbox: 0.450821 loss_dfl: 0.428912 loss: 1.918232 eta: 9:55:09 batch_cost: 0.7961 data_cost: 0.0024 ips: 70.3424 images/s [03/18 23:24:04] ppdet.engine INFO: Epoch: [226] [260/523] learning_rate: 0.039609 loss_vfl: 1.012401 loss_bbox: 0.454819 loss_dfl: 0.424735 loss: 1.906101 eta: 9:54:51 batch_cost: 1.0082 data_cost: 0.1891 ips: 55.5432 images/s [03/18 23:24:23] ppdet.engine INFO: Epoch: [226] [280/523] learning_rate: 0.039570 loss_vfl: 0.960941 loss_bbox: 0.418540 loss_dfl: 0.397279 loss: 1.773285 eta: 9:54:32 batch_cost: 0.7954 data_cost: 0.2431 ips: 70.4020 images/s [03/18 23:24:41] ppdet.engine INFO: Epoch: [226] [300/523] learning_rate: 0.039531 loss_vfl: 0.990617 loss_bbox: 0.433600 loss_dfl: 0.421762 loss: 1.861991 eta: 9:54:12 batch_cost: 0.7142 data_cost: 0.0052 ips: 78.4149 images/s [03/18 23:25:02] ppdet.engine INFO: Epoch: [226] 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0.408060 loss: 1.839165 eta: 9:52:39 batch_cost: 1.0467 data_cost: 0.4015 ips: 53.5034 images/s [03/18 23:26:47] ppdet.engine INFO: Epoch: [226] [420/523] learning_rate: 0.039296 loss_vfl: 1.019913 loss_bbox: 0.441063 loss_dfl: 0.426369 loss: 1.887325 eta: 9:52:20 batch_cost: 0.7939 data_cost: 0.0094 ips: 70.5362 images/s [03/18 23:27:09] ppdet.engine INFO: Epoch: [226] [440/523] learning_rate: 0.039257 loss_vfl: 1.006139 loss_bbox: 0.423846 loss_dfl: 0.413457 loss: 1.855801 eta: 9:52:01 batch_cost: 0.9048 data_cost: 0.1326 ips: 61.8918 images/s [03/18 23:27:29] ppdet.engine INFO: Epoch: [226] [460/523] learning_rate: 0.039218 loss_vfl: 1.003379 loss_bbox: 0.440128 loss_dfl: 0.426016 loss: 1.857017 eta: 9:51:42 batch_cost: 0.9172 data_cost: 0.2058 ips: 61.0579 images/s [03/18 23:27:52] ppdet.engine INFO: Epoch: [226] [480/523] learning_rate: 0.039179 loss_vfl: 1.041847 loss_bbox: 0.472597 loss_dfl: 0.429230 loss: 1.912779 eta: 9:51:24 batch_cost: 0.9524 data_cost: 0.0923 ips: 58.7979 images/s [03/18 23:28:12] ppdet.engine INFO: Epoch: [226] [500/523] learning_rate: 0.039140 loss_vfl: 1.041985 loss_bbox: 0.444214 loss_dfl: 0.428159 loss: 1.907058 eta: 9:51:05 batch_cost: 0.8502 data_cost: 0.1792 ips: 65.8700 images/s [03/18 23:28:30] ppdet.engine INFO: Epoch: [226] [520/523] learning_rate: 0.039101 loss_vfl: 1.015741 loss_bbox: 0.428406 loss_dfl: 0.416290 loss: 1.846207 eta: 9:50:46 batch_cost: 0.7857 data_cost: 0.0162 ips: 71.2757 images/s [03/18 23:28:42] ppdet.engine INFO: Epoch: [227] [ 0/523] learning_rate: 0.039096 loss_vfl: 1.000662 loss_bbox: 0.428406 loss_dfl: 0.403508 loss: 1.838844 eta: 9:50:45 batch_cost: 1.0894 data_cost: 0.4224 ips: 51.4064 images/s [03/18 23:29:03] ppdet.engine INFO: Epoch: [227] [ 20/523] learning_rate: 0.039057 loss_vfl: 1.018694 loss_bbox: 0.442847 loss_dfl: 0.417205 loss: 1.883864 eta: 9:50:26 batch_cost: 0.8452 data_cost: 0.0485 ips: 66.2595 images/s [03/18 23:29:22] ppdet.engine INFO: Epoch: [227] [ 40/523] learning_rate: 0.039018 loss_vfl: 0.972005 loss_bbox: 0.423607 loss_dfl: 0.405791 loss: 1.819622 eta: 9:50:07 batch_cost: 0.8435 data_cost: 0.1405 ips: 66.3866 images/s [03/18 23:29:43] ppdet.engine INFO: Epoch: [227] [ 60/523] learning_rate: 0.038979 loss_vfl: 1.035130 loss_bbox: 0.462573 loss_dfl: 0.425824 loss: 1.921196 eta: 9:49:48 batch_cost: 0.8905 data_cost: 0.1034 ips: 62.8827 images/s [03/18 23:30:08] ppdet.engine INFO: Epoch: [227] [ 80/523] learning_rate: 0.038940 loss_vfl: 1.002634 loss_bbox: 0.446274 loss_dfl: 0.420226 loss: 1.883012 eta: 9:49:30 batch_cost: 1.0676 data_cost: 0.3860 ips: 52.4560 images/s [03/18 23:30:30] ppdet.engine INFO: Epoch: [227] [100/523] learning_rate: 0.038901 loss_vfl: 1.002141 loss_bbox: 0.419017 loss_dfl: 0.409745 loss: 1.807064 eta: 9:49:12 batch_cost: 0.9710 data_cost: 0.1650 ips: 57.6697 images/s [03/18 23:30:54] ppdet.engine INFO: Epoch: [227] [120/523] learning_rate: 0.038862 loss_vfl: 0.951113 loss_bbox: 0.420976 loss_dfl: 0.405221 loss: 1.764044 eta: 9:48:54 batch_cost: 1.0423 data_cost: 0.2076 ips: 53.7258 images/s [03/18 23:31:19] ppdet.engine INFO: Epoch: [227] [140/523] learning_rate: 0.038823 loss_vfl: 1.065999 loss_bbox: 0.464059 loss_dfl: 0.435652 loss: 1.971439 eta: 9:48:37 batch_cost: 1.0560 data_cost: 0.1804 ips: 53.0284 images/s [03/18 23:31:41] ppdet.engine INFO: Epoch: [227] [160/523] learning_rate: 0.038785 loss_vfl: 1.022807 loss_bbox: 0.447244 loss_dfl: 0.428636 loss: 1.899994 eta: 9:48:18 batch_cost: 0.9792 data_cost: 0.2131 ips: 57.1871 images/s [03/18 23:32:03] ppdet.engine INFO: Epoch: [227] [180/523] learning_rate: 0.038746 loss_vfl: 0.954358 loss_bbox: 0.399298 loss_dfl: 0.405417 loss: 1.783144 eta: 9:48:00 batch_cost: 0.9199 data_cost: 0.0466 ips: 60.8785 images/s [03/18 23:32:27] ppdet.engine INFO: Epoch: [227] [200/523] learning_rate: 0.038707 loss_vfl: 1.059431 loss_bbox: 0.454450 loss_dfl: 0.435460 loss: 1.926272 eta: 9:47:42 batch_cost: 1.0181 data_cost: 0.0234 ips: 55.0054 images/s [03/18 23:32:49] ppdet.engine INFO: Epoch: [227] [220/523] learning_rate: 0.038668 loss_vfl: 0.991344 loss_bbox: 0.427567 loss_dfl: 0.416448 loss: 1.839609 eta: 9:47:23 batch_cost: 0.9729 data_cost: 0.2062 ips: 57.5587 images/s [03/18 23:33:13] ppdet.engine INFO: Epoch: [227] [240/523] learning_rate: 0.038629 loss_vfl: 1.014825 loss_bbox: 0.446302 loss_dfl: 0.437155 loss: 1.913358 eta: 9:47:05 batch_cost: 1.0291 data_cost: 0.1986 ips: 54.4145 images/s [03/18 23:33:34] ppdet.engine INFO: Epoch: [227] [260/523] learning_rate: 0.038591 loss_vfl: 0.928959 loss_bbox: 0.409342 loss_dfl: 0.392260 loss: 1.720248 eta: 9:46:46 batch_cost: 0.8416 data_cost: 0.0024 ips: 66.5436 images/s [03/18 23:33:51] ppdet.engine INFO: Epoch: [227] [280/523] learning_rate: 0.038552 loss_vfl: 1.014399 loss_bbox: 0.452517 loss_dfl: 0.430994 loss: 1.901758 eta: 9:46:26 batch_cost: 0.6941 data_cost: 0.0030 ips: 80.6842 images/s [03/18 23:34:14] ppdet.engine INFO: Epoch: [227] [300/523] learning_rate: 0.038513 loss_vfl: 1.028692 loss_bbox: 0.467909 loss_dfl: 0.440362 loss: 1.950354 eta: 9:46:08 batch_cost: 1.0057 data_cost: 0.2547 ips: 55.6849 images/s [03/18 23:34:36] ppdet.engine INFO: Epoch: [227] [320/523] learning_rate: 0.038475 loss_vfl: 0.966174 loss_bbox: 0.417434 loss_dfl: 0.404608 loss: 1.812761 eta: 9:45:49 batch_cost: 0.8840 data_cost: 0.0161 ips: 63.3500 images/s [03/18 23:34:58] ppdet.engine INFO: Epoch: [227] [340/523] learning_rate: 0.038436 loss_vfl: 1.033381 loss_bbox: 0.462523 loss_dfl: 0.447341 loss: 1.947641 eta: 9:45:31 batch_cost: 0.9542 data_cost: 0.2538 ips: 58.6853 images/s [03/18 23:35:23] ppdet.engine INFO: Epoch: [227] [360/523] learning_rate: 0.038397 loss_vfl: 1.006658 loss_bbox: 0.452103 loss_dfl: 0.422435 loss: 1.884480 eta: 9:45:13 batch_cost: 1.0377 data_cost: 0.0994 ips: 53.9655 images/s [03/18 23:35:44] ppdet.engine INFO: Epoch: [227] [380/523] learning_rate: 0.038359 loss_vfl: 0.990313 loss_bbox: 0.428272 loss_dfl: 0.397908 loss: 1.815084 eta: 9:44:54 batch_cost: 0.8310 data_cost: 0.0035 ips: 67.3865 images/s [03/18 23:36:09] ppdet.engine INFO: Epoch: [227] [400/523] learning_rate: 0.038320 loss_vfl: 0.985167 loss_bbox: 0.425168 loss_dfl: 0.413151 loss: 1.819701 eta: 9:44:36 batch_cost: 1.0631 data_cost: 0.0546 ips: 52.6766 images/s [03/18 23:36:31] ppdet.engine INFO: Epoch: [227] [420/523] learning_rate: 0.038281 loss_vfl: 0.998542 loss_bbox: 0.440894 loss_dfl: 0.416187 loss: 1.856574 eta: 9:44:18 batch_cost: 0.9252 data_cost: 0.0122 ips: 60.5304 images/s [03/18 23:36:54] ppdet.engine INFO: Epoch: [227] [440/523] learning_rate: 0.038243 loss_vfl: 1.053363 loss_bbox: 0.453270 loss_dfl: 0.440109 loss: 1.934973 eta: 9:43:59 batch_cost: 0.9605 data_cost: 0.0035 ips: 58.3031 images/s [03/18 23:37:15] ppdet.engine INFO: Epoch: [227] [460/523] learning_rate: 0.038204 loss_vfl: 1.012743 loss_bbox: 0.448325 loss_dfl: 0.414107 loss: 1.837489 eta: 9:43:40 batch_cost: 0.8878 data_cost: 0.0183 ips: 63.0756 images/s [03/18 23:37:39] ppdet.engine INFO: Epoch: [227] [480/523] learning_rate: 0.038166 loss_vfl: 0.952297 loss_bbox: 0.438580 loss_dfl: 0.400153 loss: 1.780934 eta: 9:43:22 batch_cost: 0.9579 data_cost: 0.0754 ips: 58.4637 images/s [03/18 23:37:59] ppdet.engine INFO: Epoch: [227] [500/523] learning_rate: 0.038127 loss_vfl: 1.065660 loss_bbox: 0.488278 loss_dfl: 0.452214 loss: 1.983553 eta: 9:43:03 batch_cost: 0.8110 data_cost: 0.0009 ips: 69.0524 images/s [03/18 23:38:15] ppdet.engine INFO: Epoch: [227] [520/523] learning_rate: 0.038089 loss_vfl: 1.038007 loss_bbox: 0.446614 loss_dfl: 0.431332 loss: 1.902751 eta: 9:42:42 batch_cost: 0.6516 data_cost: 0.0071 ips: 85.9450 images/s [03/18 23:38:26] ppdet.engine INFO: Epoch: [228] [ 0/523] learning_rate: 0.038083 loss_vfl: 1.044077 loss_bbox: 0.452368 loss_dfl: 0.431332 loss: 1.917560 eta: 9:42:42 batch_cost: 1.0396 data_cost: 0.4272 ips: 53.8664 images/s [03/18 23:38:47] ppdet.engine INFO: Epoch: [228] [ 20/523] learning_rate: 0.038044 loss_vfl: 0.952786 loss_bbox: 0.419220 loss_dfl: 0.403693 loss: 1.771444 eta: 9:42:23 batch_cost: 0.8831 data_cost: 0.1639 ips: 63.4125 images/s [03/18 23:39:11] ppdet.engine INFO: Epoch: [228] [ 40/523] learning_rate: 0.038006 loss_vfl: 1.073003 loss_bbox: 0.486246 loss_dfl: 0.449026 loss: 2.011472 eta: 9:42:05 batch_cost: 1.0439 data_cost: 0.0194 ips: 53.6442 images/s [03/18 23:39:30] ppdet.engine INFO: Epoch: [228] [ 60/523] learning_rate: 0.037967 loss_vfl: 1.054135 loss_bbox: 0.467471 loss_dfl: 0.451910 loss: 1.969507 eta: 9:41:46 batch_cost: 0.8583 data_cost: 0.0024 ips: 65.2477 images/s [03/18 23:39:53] ppdet.engine INFO: Epoch: [228] [ 80/523] learning_rate: 0.037929 loss_vfl: 1.014512 loss_bbox: 0.437223 loss_dfl: 0.417313 loss: 1.913913 eta: 9:41:28 batch_cost: 1.0377 data_cost: 0.0033 ips: 53.9672 images/s [03/18 23:40:16] ppdet.engine INFO: Epoch: [228] [100/523] learning_rate: 0.037891 loss_vfl: 0.999630 loss_bbox: 0.430322 loss_dfl: 0.418908 loss: 1.876672 eta: 9:41:10 batch_cost: 1.0403 data_cost: 0.0440 ips: 53.8288 images/s [03/18 23:40:39] ppdet.engine INFO: Epoch: [228] [120/523] learning_rate: 0.037852 loss_vfl: 1.033896 loss_bbox: 0.477556 loss_dfl: 0.447443 loss: 1.958534 eta: 9:40:52 batch_cost: 0.9868 data_cost: 0.1036 ips: 56.7465 images/s [03/18 23:41:02] ppdet.engine INFO: Epoch: [228] [140/523] learning_rate: 0.037814 loss_vfl: 0.984479 loss_bbox: 0.441739 loss_dfl: 0.419835 loss: 1.835000 eta: 9:40:35 batch_cost: 1.1033 data_cost: 0.2225 ips: 50.7589 images/s [03/18 23:41:26] ppdet.engine INFO: Epoch: [228] [160/523] learning_rate: 0.037775 loss_vfl: 1.011451 loss_bbox: 0.470597 loss_dfl: 0.427742 loss: 1.896304 eta: 9:40:17 batch_cost: 1.1015 data_cost: 0.2157 ips: 50.8405 images/s [03/18 23:41:47] ppdet.engine INFO: Epoch: [228] [180/523] learning_rate: 0.037737 loss_vfl: 1.023816 loss_bbox: 0.444878 loss_dfl: 0.434223 loss: 1.910131 eta: 9:39:59 batch_cost: 0.9744 data_cost: 0.2746 ips: 57.4723 images/s [03/18 23:42:09] ppdet.engine INFO: Epoch: [228] [200/523] learning_rate: 0.037699 loss_vfl: 0.962570 loss_bbox: 0.436471 loss_dfl: 0.404903 loss: 1.788784 eta: 9:39:41 batch_cost: 0.9958 data_cost: 0.3129 ips: 56.2344 images/s [03/18 23:42:29] ppdet.engine INFO: Epoch: [228] [220/523] learning_rate: 0.037660 loss_vfl: 1.031299 loss_bbox: 0.460278 loss_dfl: 0.427089 loss: 1.926713 eta: 9:39:22 batch_cost: 0.9050 data_cost: 0.1217 ips: 61.8763 images/s [03/18 23:42:50] ppdet.engine INFO: Epoch: [228] [240/523] learning_rate: 0.037622 loss_vfl: 1.032365 loss_bbox: 0.448545 loss_dfl: 0.432848 loss: 1.920636 eta: 9:39:04 batch_cost: 0.9360 data_cost: 0.3907 ips: 59.8301 images/s [03/18 23:43:08] ppdet.engine INFO: Epoch: [228] [260/523] learning_rate: 0.037584 loss_vfl: 1.042634 loss_bbox: 0.465014 loss_dfl: 0.433274 loss: 1.944219 eta: 9:38:44 batch_cost: 0.8268 data_cost: 0.2520 ips: 67.7309 images/s [03/18 23:43:32] ppdet.engine INFO: Epoch: [228] [280/523] learning_rate: 0.037545 loss_vfl: 0.990590 loss_bbox: 0.432457 loss_dfl: 0.420992 loss: 1.853184 eta: 9:38:27 batch_cost: 1.0582 data_cost: 0.3481 ips: 52.9219 images/s [03/18 23:43:53] ppdet.engine INFO: Epoch: [228] [300/523] learning_rate: 0.037507 loss_vfl: 1.000129 loss_bbox: 0.438897 loss_dfl: 0.431526 loss: 1.880256 eta: 9:38:09 batch_cost: 1.0200 data_cost: 0.3119 ips: 54.9022 images/s [03/18 23:44:16] ppdet.engine INFO: Epoch: [228] [320/523] learning_rate: 0.037469 loss_vfl: 1.004823 loss_bbox: 0.439576 loss_dfl: 0.411911 loss: 1.872282 eta: 9:37:50 batch_cost: 0.9938 data_cost: 0.2326 ips: 56.3486 images/s [03/18 23:44:38] ppdet.engine INFO: Epoch: [228] [340/523] learning_rate: 0.037431 loss_vfl: 1.033379 loss_bbox: 0.483288 loss_dfl: 0.449831 loss: 1.976249 eta: 9:37:32 batch_cost: 0.9943 data_cost: 0.1476 ips: 56.3183 images/s [03/18 23:44:59] ppdet.engine INFO: Epoch: [228] [360/523] learning_rate: 0.037392 loss_vfl: 1.025337 loss_bbox: 0.434024 loss_dfl: 0.411055 loss: 1.849411 eta: 9:37:14 batch_cost: 0.9658 data_cost: 0.3263 ips: 57.9829 images/s [03/18 23:45:23] ppdet.engine INFO: Epoch: [228] [380/523] learning_rate: 0.037354 loss_vfl: 0.986867 loss_bbox: 0.431649 loss_dfl: 0.417464 loss: 1.837223 eta: 9:36:56 batch_cost: 1.1050 data_cost: 0.3057 ips: 50.6782 images/s [03/18 23:45:44] ppdet.engine INFO: Epoch: [228] [400/523] learning_rate: 0.037316 loss_vfl: 0.992844 loss_bbox: 0.440850 loss_dfl: 0.414790 loss: 1.827017 eta: 9:36:38 batch_cost: 0.9915 data_cost: 0.2611 ips: 56.4824 images/s [03/18 23:46:07] ppdet.engine INFO: Epoch: [228] [420/523] learning_rate: 0.037278 loss_vfl: 0.997771 loss_bbox: 0.447570 loss_dfl: 0.419022 loss: 1.836688 eta: 9:36:20 batch_cost: 0.9941 data_cost: 0.2495 ips: 56.3310 images/s [03/18 23:46:27] ppdet.engine INFO: Epoch: [228] [440/523] learning_rate: 0.037240 loss_vfl: 0.925898 loss_bbox: 0.415230 loss_dfl: 0.387524 loss: 1.724428 eta: 9:36:01 batch_cost: 0.9039 data_cost: 0.1364 ips: 61.9558 images/s [03/18 23:46:50] ppdet.engine INFO: Epoch: [228] [460/523] learning_rate: 0.037202 loss_vfl: 1.059739 loss_bbox: 0.484848 loss_dfl: 0.450440 loss: 1.985407 eta: 9:35:43 batch_cost: 1.0385 data_cost: 0.1429 ips: 53.9252 images/s [03/18 23:47:11] ppdet.engine INFO: Epoch: [228] [480/523] learning_rate: 0.037163 loss_vfl: 1.035454 loss_bbox: 0.443169 loss_dfl: 0.426175 loss: 1.907603 eta: 9:35:25 batch_cost: 0.9079 data_cost: 0.0269 ips: 61.6794 images/s [03/18 23:47:30] ppdet.engine INFO: Epoch: [228] [500/523] learning_rate: 0.037125 loss_vfl: 0.998402 loss_bbox: 0.451756 loss_dfl: 0.428165 loss: 1.887734 eta: 9:35:06 batch_cost: 0.8162 data_cost: 0.0601 ips: 68.6096 images/s [03/18 23:47:45] ppdet.engine INFO: Epoch: [228] [520/523] learning_rate: 0.037087 loss_vfl: 0.966669 loss_bbox: 0.404557 loss_dfl: 0.407403 loss: 1.783452 eta: 9:34:45 batch_cost: 0.6612 data_cost: 0.0979 ips: 84.6885 images/s [03/18 23:47:59] ppdet.engine INFO: Epoch: [229] [ 0/523] learning_rate: 0.037081 loss_vfl: 0.980274 loss_bbox: 0.416864 loss_dfl: 0.412688 loss: 1.796830 eta: 9:34:45 batch_cost: 1.1586 data_cost: 0.5914 ips: 48.3335 images/s [03/18 23:48:22] ppdet.engine INFO: Epoch: [229] [ 20/523] learning_rate: 0.037043 loss_vfl: 1.006575 loss_bbox: 0.443623 loss_dfl: 0.408860 loss: 1.860062 eta: 9:34:28 batch_cost: 1.0881 data_cost: 0.1622 ips: 51.4645 images/s [03/18 23:48:43] ppdet.engine INFO: Epoch: [229] [ 40/523] learning_rate: 0.037005 loss_vfl: 1.009858 loss_bbox: 0.436483 loss_dfl: 0.426318 loss: 1.850916 eta: 9:34:09 batch_cost: 0.9527 data_cost: 0.2245 ips: 58.7822 images/s [03/18 23:49:10] ppdet.engine INFO: Epoch: [229] [ 60/523] learning_rate: 0.036967 loss_vfl: 1.051084 loss_bbox: 0.476721 loss_dfl: 0.446145 loss: 1.977230 eta: 9:33:52 batch_cost: 1.2096 data_cost: 0.6161 ips: 46.2958 images/s [03/18 23:49:32] ppdet.engine INFO: Epoch: [229] [ 80/523] learning_rate: 0.036929 loss_vfl: 0.990461 loss_bbox: 0.437167 loss_dfl: 0.416963 loss: 1.831920 eta: 9:33:34 batch_cost: 1.0042 data_cost: 0.2673 ips: 55.7667 images/s [03/18 23:49:54] ppdet.engine INFO: Epoch: [229] [100/523] learning_rate: 0.036891 loss_vfl: 1.008399 loss_bbox: 0.436523 loss_dfl: 0.428411 loss: 1.876388 eta: 9:33:16 batch_cost: 0.9936 data_cost: 0.3234 ips: 56.3614 images/s [03/18 23:50:19] ppdet.engine INFO: Epoch: [229] [120/523] learning_rate: 0.036853 loss_vfl: 0.991800 loss_bbox: 0.431494 loss_dfl: 0.408246 loss: 1.832497 eta: 9:32:59 batch_cost: 1.1618 data_cost: 0.4499 ips: 48.2004 images/s [03/18 23:50:39] ppdet.engine INFO: Epoch: [229] [140/523] learning_rate: 0.036815 loss_vfl: 1.040012 loss_bbox: 0.467945 loss_dfl: 0.430660 loss: 1.925492 eta: 9:32:40 batch_cost: 0.9221 data_cost: 0.2787 ips: 60.7325 images/s [03/18 23:51:03] ppdet.engine INFO: Epoch: [229] [160/523] learning_rate: 0.036777 loss_vfl: 1.011983 loss_bbox: 0.438761 loss_dfl: 0.434822 loss: 1.891337 eta: 9:32:23 batch_cost: 1.0712 data_cost: 0.1757 ips: 52.2762 images/s [03/18 23:51:26] ppdet.engine INFO: Epoch: [229] [180/523] learning_rate: 0.036739 loss_vfl: 0.995817 loss_bbox: 0.443314 loss_dfl: 0.415006 loss: 1.836644 eta: 9:32:05 batch_cost: 1.0738 data_cost: 0.1026 ips: 52.1528 images/s [03/18 23:51:46] ppdet.engine INFO: Epoch: [229] [200/523] learning_rate: 0.036702 loss_vfl: 1.057498 loss_bbox: 0.472764 loss_dfl: 0.444721 loss: 1.991953 eta: 9:31:46 batch_cost: 0.9047 data_cost: 0.0004 ips: 61.8962 images/s [03/18 23:52:07] ppdet.engine INFO: Epoch: [229] [220/523] learning_rate: 0.036664 loss_vfl: 1.022546 loss_bbox: 0.452300 loss_dfl: 0.423939 loss: 1.901488 eta: 9:31:28 batch_cost: 0.9891 data_cost: 0.2787 ips: 56.6176 images/s [03/18 23:52:26] ppdet.engine INFO: Epoch: [229] [240/523] learning_rate: 0.036626 loss_vfl: 0.949079 loss_bbox: 0.426687 loss_dfl: 0.406588 loss: 1.778220 eta: 9:31:09 batch_cost: 0.8186 data_cost: 0.0218 ips: 68.4062 images/s [03/18 23:52:47] ppdet.engine INFO: Epoch: [229] [260/523] learning_rate: 0.036588 loss_vfl: 0.974513 loss_bbox: 0.418506 loss_dfl: 0.408748 loss: 1.803788 eta: 9:30:50 batch_cost: 0.9704 data_cost: 0.2560 ips: 57.7087 images/s [03/18 23:53:11] ppdet.engine INFO: Epoch: [229] [280/523] learning_rate: 0.036550 loss_vfl: 1.025320 loss_bbox: 0.465249 loss_dfl: 0.438789 loss: 1.928819 eta: 9:30:33 batch_cost: 1.0927 data_cost: 0.3903 ips: 51.2470 images/s [03/18 23:53:33] ppdet.engine INFO: Epoch: [229] [300/523] learning_rate: 0.036512 loss_vfl: 1.031010 loss_bbox: 0.461716 loss_dfl: 0.435413 loss: 1.922516 eta: 9:30:15 batch_cost: 0.9844 data_cost: 0.3072 ips: 56.8866 images/s [03/18 23:53:56] ppdet.engine INFO: Epoch: [229] [320/523] learning_rate: 0.036474 loss_vfl: 1.037916 loss_bbox: 0.458722 loss_dfl: 0.422855 loss: 1.924346 eta: 9:29:57 batch_cost: 1.0027 data_cost: 0.1817 ips: 55.8499 images/s [03/18 23:54:19] ppdet.engine INFO: Epoch: [229] [340/523] learning_rate: 0.036437 loss_vfl: 1.024082 loss_bbox: 0.466875 loss_dfl: 0.442679 loss: 1.912550 eta: 9:29:39 batch_cost: 1.0432 data_cost: 0.3770 ips: 53.6826 images/s [03/18 23:54:39] ppdet.engine INFO: Epoch: [229] [360/523] learning_rate: 0.036399 loss_vfl: 1.048086 loss_bbox: 0.451726 loss_dfl: 0.435494 loss: 1.954112 eta: 9:29:20 batch_cost: 0.8973 data_cost: 0.1139 ips: 62.4065 images/s [03/18 23:55:03] ppdet.engine INFO: Epoch: [229] [380/523] learning_rate: 0.036361 loss_vfl: 1.060948 loss_bbox: 0.443689 loss_dfl: 0.426940 loss: 1.913884 eta: 9:29:02 batch_cost: 1.0272 data_cost: 0.2452 ips: 54.5167 images/s [03/18 23:55:25] ppdet.engine INFO: Epoch: [229] [400/523] learning_rate: 0.036323 loss_vfl: 1.008612 loss_bbox: 0.440648 loss_dfl: 0.412720 loss: 1.860760 eta: 9:28:44 batch_cost: 0.9918 data_cost: 0.2926 ips: 56.4612 images/s [03/18 23:55:47] ppdet.engine INFO: Epoch: [229] [420/523] learning_rate: 0.036285 loss_vfl: 0.971245 loss_bbox: 0.414616 loss_dfl: 0.404482 loss: 1.788157 eta: 9:28:26 batch_cost: 1.0286 data_cost: 0.3185 ips: 54.4430 images/s [03/18 23:56:10] ppdet.engine INFO: Epoch: [229] [440/523] learning_rate: 0.036248 loss_vfl: 1.019158 loss_bbox: 0.480205 loss_dfl: 0.446013 loss: 1.934493 eta: 9:28:08 batch_cost: 1.0478 data_cost: 0.2866 ips: 53.4470 images/s [03/18 23:56:29] ppdet.engine INFO: Epoch: [229] [460/523] learning_rate: 0.036210 loss_vfl: 0.999463 loss_bbox: 0.439462 loss_dfl: 0.416040 loss: 1.846290 eta: 9:27:49 batch_cost: 0.8787 data_cost: 0.1042 ips: 63.7325 images/s [03/18 23:56:47] ppdet.engine INFO: Epoch: [229] [480/523] learning_rate: 0.036172 loss_vfl: 0.953540 loss_bbox: 0.426007 loss_dfl: 0.407495 loss: 1.777858 eta: 9:27:30 batch_cost: 0.8094 data_cost: 0.0505 ips: 69.1853 images/s [03/18 23:57:09] ppdet.engine INFO: Epoch: [229] [500/523] learning_rate: 0.036135 loss_vfl: 1.037710 loss_bbox: 0.439945 loss_dfl: 0.425023 loss: 1.905122 eta: 9:27:12 batch_cost: 1.0255 data_cost: 0.3154 ips: 54.6049 images/s [03/18 23:57:27] ppdet.engine INFO: Epoch: [229] [520/523] learning_rate: 0.036097 loss_vfl: 1.050689 loss_bbox: 0.464958 loss_dfl: 0.437015 loss: 1.981246 eta: 9:26:52 batch_cost: 0.7630 data_cost: 0.0491 ips: 73.3990 images/s [03/18 23:57:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/18 23:57:29] ppdet.engine INFO: Eval iter: 0 [03/18 23:57:50] ppdet.engine INFO: Eval iter: 100 [03/18 23:58:00] ppdet.engine INFO: Eval iter: 200 [03/18 23:58:10] ppdet.engine INFO: Eval iter: 300 [03/18 23:58:19] ppdet.engine INFO: Eval iter: 400 [03/18 23:58:29] ppdet.engine INFO: Eval iter: 500 [03/18 23:58:39] ppdet.engine INFO: Eval iter: 600 [03/18 23:58:53] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.12s) creating index... index created! [03/18 23:58:54] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.16s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=85.42s). Accumulating evaluation results... DONE (t=18.37s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.255 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.384 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.271 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.085 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.255 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.421 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.252 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.408 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.435 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.158 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.480 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.688 [03/19 00:00:46] ppdet.engine INFO: Total sample number: 4952, averge FPS: 68.51603842767217 [03/19 00:00:46] ppdet.engine INFO: Best test bbox ap is 0.255. [03/19 00:00:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 00:00:46] ppdet.engine INFO: Epoch: [230] [ 0/523] learning_rate: 0.036091 loss_vfl: 1.050689 loss_bbox: 0.464958 loss_dfl: 0.437015 loss: 1.981741 eta: 9:26:49 batch_cost: 0.6670 data_cost: 0.0473 ips: 83.9540 images/s [03/19 00:01:01] ppdet.engine INFO: Epoch: [230] [ 20/523] learning_rate: 0.036054 loss_vfl: 1.032012 loss_bbox: 0.460639 loss_dfl: 0.442881 loss: 1.942207 eta: 9:26:29 batch_cost: 0.6607 data_cost: 0.0011 ips: 84.7613 images/s [03/19 00:01:25] ppdet.engine INFO: Epoch: [230] [ 40/523] learning_rate: 0.036016 loss_vfl: 1.016103 loss_bbox: 0.448194 loss_dfl: 0.421324 loss: 1.877785 eta: 9:26:11 batch_cost: 1.0984 data_cost: 0.0028 ips: 50.9813 images/s [03/19 00:01:47] ppdet.engine INFO: Epoch: [230] [ 60/523] learning_rate: 0.035979 loss_vfl: 1.009020 loss_bbox: 0.424955 loss_dfl: 0.412710 loss: 1.860976 eta: 9:25:53 batch_cost: 0.9975 data_cost: 0.0011 ips: 56.1378 images/s [03/19 00:02:11] ppdet.engine INFO: Epoch: [230] [ 80/523] learning_rate: 0.035941 loss_vfl: 1.032908 loss_bbox: 0.458670 loss_dfl: 0.435674 loss: 1.919768 eta: 9:25:35 batch_cost: 1.1319 data_cost: 0.0067 ips: 49.4734 images/s [03/19 00:02:31] ppdet.engine INFO: Epoch: [230] [100/523] learning_rate: 0.035903 loss_vfl: 1.021476 loss_bbox: 0.466888 loss_dfl: 0.435968 loss: 1.933404 eta: 9:25:17 batch_cost: 0.8891 data_cost: 0.0029 ips: 62.9819 images/s [03/19 00:02:53] ppdet.engine INFO: Epoch: [230] [120/523] learning_rate: 0.035866 loss_vfl: 0.991722 loss_bbox: 0.441250 loss_dfl: 0.418569 loss: 1.850186 eta: 9:24:58 batch_cost: 0.9184 data_cost: 0.0042 ips: 60.9732 images/s [03/19 00:03:18] ppdet.engine INFO: Epoch: [230] [140/523] learning_rate: 0.035828 loss_vfl: 1.019588 loss_bbox: 0.457895 loss_dfl: 0.440383 loss: 1.935865 eta: 9:24:41 batch_cost: 1.1530 data_cost: 0.2954 ips: 48.5687 images/s [03/19 00:03:36] ppdet.engine INFO: Epoch: [230] [160/523] learning_rate: 0.035791 loss_vfl: 1.012815 loss_bbox: 0.440952 loss_dfl: 0.408896 loss: 1.863525 eta: 9:24:22 batch_cost: 0.8317 data_cost: 0.0044 ips: 67.3354 images/s [03/19 00:03:58] ppdet.engine INFO: Epoch: [230] [180/523] learning_rate: 0.035753 loss_vfl: 0.938657 loss_bbox: 0.414049 loss_dfl: 0.390712 loss: 1.734252 eta: 9:24:03 batch_cost: 0.9796 data_cost: 0.1535 ips: 57.1690 images/s [03/19 00:04:20] ppdet.engine INFO: Epoch: [230] [200/523] learning_rate: 0.035716 loss_vfl: 0.938124 loss_bbox: 0.410528 loss_dfl: 0.401982 loss: 1.766975 eta: 9:23:45 batch_cost: 0.9820 data_cost: 0.1397 ips: 57.0269 images/s [03/19 00:04:43] ppdet.engine INFO: Epoch: [230] [220/523] learning_rate: 0.035678 loss_vfl: 1.004546 loss_bbox: 0.427158 loss_dfl: 0.419284 loss: 1.847405 eta: 9:23:27 batch_cost: 1.0667 data_cost: 0.4397 ips: 52.4961 images/s [03/19 00:05:04] ppdet.engine INFO: Epoch: [230] [240/523] learning_rate: 0.035641 loss_vfl: 1.007061 loss_bbox: 0.432516 loss_dfl: 0.427821 loss: 1.865579 eta: 9:23:08 batch_cost: 0.8714 data_cost: 0.0893 ips: 64.2624 images/s [03/19 00:05:23] ppdet.engine INFO: Epoch: [230] [260/523] learning_rate: 0.035603 loss_vfl: 0.963115 loss_bbox: 0.425001 loss_dfl: 0.392336 loss: 1.780329 eta: 9:22:50 batch_cost: 0.8880 data_cost: 0.2149 ips: 63.0602 images/s [03/19 00:05:42] ppdet.engine INFO: Epoch: [230] [280/523] learning_rate: 0.035566 loss_vfl: 1.013677 loss_bbox: 0.431435 loss_dfl: 0.419814 loss: 1.860787 eta: 9:22:30 batch_cost: 0.8346 data_cost: 0.2327 ips: 67.0998 images/s [03/19 00:06:00] ppdet.engine INFO: Epoch: [230] [300/523] learning_rate: 0.035529 loss_vfl: 0.975035 loss_bbox: 0.433262 loss_dfl: 0.415654 loss: 1.832540 eta: 9:22:11 batch_cost: 0.7930 data_cost: 0.0043 ips: 70.6182 images/s [03/19 00:06:22] ppdet.engine INFO: Epoch: [230] [320/523] learning_rate: 0.035491 loss_vfl: 0.972861 loss_bbox: 0.440085 loss_dfl: 0.398143 loss: 1.808106 eta: 9:21:53 batch_cost: 0.9569 data_cost: 0.2239 ips: 58.5240 images/s [03/19 00:06:45] ppdet.engine INFO: Epoch: [230] [340/523] learning_rate: 0.035454 loss_vfl: 1.071597 loss_bbox: 0.465068 loss_dfl: 0.434022 loss: 1.976264 eta: 9:21:35 batch_cost: 1.0526 data_cost: 0.3000 ips: 53.2024 images/s [03/19 00:07:07] ppdet.engine INFO: Epoch: [230] [360/523] learning_rate: 0.035416 loss_vfl: 0.975215 loss_bbox: 0.431764 loss_dfl: 0.404736 loss: 1.812013 eta: 9:21:17 batch_cost: 0.9871 data_cost: 0.2066 ips: 56.7314 images/s [03/19 00:07:29] ppdet.engine INFO: Epoch: [230] [380/523] learning_rate: 0.035379 loss_vfl: 1.039871 loss_bbox: 0.438276 loss_dfl: 0.416019 loss: 1.929210 eta: 9:20:58 batch_cost: 0.9450 data_cost: 0.2453 ips: 59.2600 images/s [03/19 00:07:51] ppdet.engine INFO: Epoch: [230] [400/523] learning_rate: 0.035342 loss_vfl: 1.061090 loss_bbox: 0.470214 loss_dfl: 0.455194 loss: 2.021936 eta: 9:20:40 batch_cost: 1.0022 data_cost: 0.3365 ips: 55.8780 images/s [03/19 00:08:11] ppdet.engine INFO: Epoch: [230] [420/523] learning_rate: 0.035305 loss_vfl: 1.041352 loss_bbox: 0.455847 loss_dfl: 0.436985 loss: 1.909218 eta: 9:20:21 batch_cost: 0.9171 data_cost: 0.1578 ips: 61.0630 images/s [03/19 00:08:35] ppdet.engine INFO: Epoch: [230] [440/523] learning_rate: 0.035267 loss_vfl: 1.021889 loss_bbox: 0.442286 loss_dfl: 0.421343 loss: 1.887342 eta: 9:20:03 batch_cost: 1.0257 data_cost: 0.2828 ips: 54.5994 images/s [03/19 00:08:55] ppdet.engine INFO: Epoch: [230] [460/523] learning_rate: 0.035230 loss_vfl: 0.989478 loss_bbox: 0.426772 loss_dfl: 0.401752 loss: 1.799973 eta: 9:19:45 batch_cost: 0.9038 data_cost: 0.1252 ips: 61.9604 images/s [03/19 00:09:15] ppdet.engine INFO: Epoch: [230] [480/523] learning_rate: 0.035193 loss_vfl: 0.995348 loss_bbox: 0.450076 loss_dfl: 0.416918 loss: 1.855038 eta: 9:19:26 batch_cost: 0.8684 data_cost: 0.2295 ips: 64.4858 images/s [03/19 00:09:37] ppdet.engine INFO: Epoch: [230] [500/523] learning_rate: 0.035156 loss_vfl: 1.018324 loss_bbox: 0.456582 loss_dfl: 0.430415 loss: 1.900768 eta: 9:19:08 batch_cost: 1.0111 data_cost: 0.3059 ips: 55.3854 images/s [03/19 00:09:55] ppdet.engine INFO: Epoch: [230] [520/523] learning_rate: 0.035118 loss_vfl: 1.014135 loss_bbox: 0.420391 loss_dfl: 0.407000 loss: 1.876633 eta: 9:18:48 batch_cost: 0.8209 data_cost: 0.2982 ips: 68.2170 images/s [03/19 00:10:05] ppdet.engine INFO: Epoch: [231] [ 0/523] learning_rate: 0.035113 loss_vfl: 0.957958 loss_bbox: 0.416461 loss_dfl: 0.402206 loss: 1.762342 eta: 9:18:47 batch_cost: 1.0246 data_cost: 0.4102 ips: 54.6571 images/s [03/19 00:10:24] ppdet.engine INFO: Epoch: [231] [ 20/523] learning_rate: 0.035076 loss_vfl: 0.975042 loss_bbox: 0.446796 loss_dfl: 0.417862 loss: 1.829189 eta: 9:18:28 batch_cost: 0.8123 data_cost: 0.0052 ips: 68.9368 images/s [03/19 00:10:45] ppdet.engine INFO: Epoch: [231] [ 40/523] learning_rate: 0.035038 loss_vfl: 0.989792 loss_bbox: 0.424285 loss_dfl: 0.410810 loss: 1.828747 eta: 9:18:09 batch_cost: 0.9409 data_cost: 0.0092 ips: 59.5154 images/s [03/19 00:11:08] ppdet.engine INFO: Epoch: [231] [ 60/523] learning_rate: 0.035001 loss_vfl: 0.960708 loss_bbox: 0.407188 loss_dfl: 0.391391 loss: 1.773584 eta: 9:17:51 batch_cost: 0.9323 data_cost: 0.0140 ips: 60.0653 images/s [03/19 00:11:28] ppdet.engine INFO: Epoch: [231] [ 80/523] learning_rate: 0.034964 loss_vfl: 0.952876 loss_bbox: 0.403822 loss_dfl: 0.387624 loss: 1.741958 eta: 9:17:32 batch_cost: 0.8918 data_cost: 0.0046 ips: 62.7947 images/s [03/19 00:11:48] ppdet.engine INFO: Epoch: [231] [100/523] learning_rate: 0.034927 loss_vfl: 1.005681 loss_bbox: 0.460145 loss_dfl: 0.433709 loss: 1.904795 eta: 9:17:13 batch_cost: 0.8374 data_cost: 0.0059 ips: 66.8729 images/s [03/19 00:12:10] ppdet.engine INFO: Epoch: [231] [120/523] learning_rate: 0.034890 loss_vfl: 0.979113 loss_bbox: 0.424881 loss_dfl: 0.422157 loss: 1.844685 eta: 9:16:55 batch_cost: 0.9873 data_cost: 0.0060 ips: 56.7216 images/s [03/19 00:12:32] ppdet.engine INFO: Epoch: [231] [140/523] learning_rate: 0.034853 loss_vfl: 0.974360 loss_bbox: 0.453662 loss_dfl: 0.427844 loss: 1.869622 eta: 9:16:36 batch_cost: 0.9219 data_cost: 0.0340 ips: 60.7439 images/s [03/19 00:12:53] ppdet.engine INFO: Epoch: [231] [160/523] learning_rate: 0.034816 loss_vfl: 1.046647 loss_bbox: 0.459014 loss_dfl: 0.432496 loss: 1.955118 eta: 9:16:18 batch_cost: 0.9562 data_cost: 0.0057 ips: 58.5636 images/s [03/19 00:13:16] ppdet.engine INFO: Epoch: [231] [180/523] learning_rate: 0.034779 loss_vfl: 1.023913 loss_bbox: 0.434617 loss_dfl: 0.423931 loss: 1.861118 eta: 9:15:59 batch_cost: 0.9704 data_cost: 0.1202 ips: 57.7094 images/s [03/19 00:13:37] ppdet.engine INFO: Epoch: [231] [200/523] learning_rate: 0.034742 loss_vfl: 1.006456 loss_bbox: 0.434810 loss_dfl: 0.413465 loss: 1.853253 eta: 9:15:40 batch_cost: 0.8866 data_cost: 0.0075 ips: 63.1603 images/s [03/19 00:13:59] ppdet.engine INFO: Epoch: [231] [220/523] learning_rate: 0.034704 loss_vfl: 0.979059 loss_bbox: 0.440468 loss_dfl: 0.418189 loss: 1.830528 eta: 9:15:22 batch_cost: 0.9600 data_cost: 0.0073 ips: 58.3326 images/s [03/19 00:14:20] ppdet.engine INFO: Epoch: [231] [240/523] learning_rate: 0.034667 loss_vfl: 1.053361 loss_bbox: 0.460687 loss_dfl: 0.434000 loss: 1.994633 eta: 9:15:03 batch_cost: 0.9303 data_cost: 0.0051 ips: 60.1954 images/s [03/19 00:14:40] ppdet.engine INFO: Epoch: [231] [260/523] learning_rate: 0.034630 loss_vfl: 0.988167 loss_bbox: 0.465349 loss_dfl: 0.431762 loss: 1.891603 eta: 9:14:44 batch_cost: 0.8262 data_cost: 0.0034 ips: 67.7776 images/s [03/19 00:14:57] ppdet.engine INFO: Epoch: [231] [280/523] learning_rate: 0.034593 loss_vfl: 0.997492 loss_bbox: 0.435644 loss_dfl: 0.414162 loss: 1.853585 eta: 9:14:25 batch_cost: 0.7779 data_cost: 0.0872 ips: 71.9873 images/s [03/19 00:15:16] ppdet.engine INFO: Epoch: [231] [300/523] learning_rate: 0.034557 loss_vfl: 1.003039 loss_bbox: 0.469689 loss_dfl: 0.423484 loss: 1.873025 eta: 9:14:05 batch_cost: 0.8007 data_cost: 0.0800 ips: 69.9355 images/s [03/19 00:15:37] ppdet.engine INFO: Epoch: [231] [320/523] learning_rate: 0.034520 loss_vfl: 1.021665 loss_bbox: 0.441908 loss_dfl: 0.421874 loss: 1.836599 eta: 9:13:46 batch_cost: 0.8422 data_cost: 0.0016 ips: 66.4904 images/s [03/19 00:15:58] ppdet.engine INFO: Epoch: [231] [340/523] learning_rate: 0.034483 loss_vfl: 1.031485 loss_bbox: 0.458082 loss_dfl: 0.429507 loss: 1.931854 eta: 9:13:28 batch_cost: 0.9416 data_cost: 0.0669 ips: 59.4748 images/s [03/19 00:16:20] ppdet.engine INFO: Epoch: [231] [360/523] learning_rate: 0.034446 loss_vfl: 1.077550 loss_bbox: 0.485030 loss_dfl: 0.455765 loss: 2.043232 eta: 9:13:09 batch_cost: 0.9540 data_cost: 0.1227 ips: 58.7020 images/s [03/19 00:16:41] ppdet.engine INFO: Epoch: [231] [380/523] learning_rate: 0.034409 loss_vfl: 1.025556 loss_bbox: 0.443506 loss_dfl: 0.422201 loss: 1.884074 eta: 9:12:51 batch_cost: 0.9181 data_cost: 0.0021 ips: 60.9976 images/s [03/19 00:17:01] ppdet.engine INFO: Epoch: [231] [400/523] learning_rate: 0.034372 loss_vfl: 1.042933 loss_bbox: 0.441640 loss_dfl: 0.428400 loss: 1.903454 eta: 9:12:32 batch_cost: 0.8529 data_cost: 0.0294 ips: 65.6607 images/s [03/19 00:17:23] ppdet.engine INFO: Epoch: [231] [420/523] learning_rate: 0.034335 loss_vfl: 1.048382 loss_bbox: 0.463217 loss_dfl: 0.424587 loss: 1.915145 eta: 9:12:13 batch_cost: 0.9694 data_cost: 0.1311 ips: 57.7674 images/s [03/19 00:17:44] ppdet.engine INFO: Epoch: [231] [440/523] learning_rate: 0.034298 loss_vfl: 1.004853 loss_bbox: 0.444415 loss_dfl: 0.418848 loss: 1.876842 eta: 9:11:55 batch_cost: 0.9068 data_cost: 0.0026 ips: 61.7538 images/s [03/19 00:18:03] ppdet.engine INFO: Epoch: [231] [460/523] learning_rate: 0.034261 loss_vfl: 1.045171 loss_bbox: 0.452044 loss_dfl: 0.430598 loss: 1.973622 eta: 9:11:35 batch_cost: 0.7810 data_cost: 0.0495 ips: 71.7071 images/s [03/19 00:18:25] ppdet.engine INFO: Epoch: [231] [480/523] learning_rate: 0.034225 loss_vfl: 0.966789 loss_bbox: 0.446566 loss_dfl: 0.422714 loss: 1.844826 eta: 9:11:17 batch_cost: 0.9467 data_cost: 0.1201 ips: 59.1531 images/s [03/19 00:18:46] ppdet.engine INFO: Epoch: [231] [500/523] learning_rate: 0.034188 loss_vfl: 1.000202 loss_bbox: 0.445566 loss_dfl: 0.427708 loss: 1.865526 eta: 9:10:58 batch_cost: 0.8806 data_cost: 0.0738 ips: 63.5947 images/s [03/19 00:19:04] ppdet.engine INFO: Epoch: [231] [520/523] learning_rate: 0.034151 loss_vfl: 0.968095 loss_bbox: 0.421039 loss_dfl: 0.406678 loss: 1.787672 eta: 9:10:38 batch_cost: 0.7809 data_cost: 0.0007 ips: 71.7136 images/s [03/19 00:19:17] ppdet.engine INFO: Epoch: [232] [ 0/523] learning_rate: 0.034146 loss_vfl: 0.982174 loss_bbox: 0.443751 loss_dfl: 0.411975 loss: 1.840488 eta: 9:10:38 batch_cost: 1.1975 data_cost: 0.4781 ips: 46.7622 images/s [03/19 00:19:38] ppdet.engine INFO: Epoch: [232] [ 20/523] learning_rate: 0.034109 loss_vfl: 0.983222 loss_bbox: 0.444904 loss_dfl: 0.405103 loss: 1.817751 eta: 9:10:20 batch_cost: 0.9571 data_cost: 0.0033 ips: 58.5085 images/s [03/19 00:19:55] ppdet.engine INFO: Epoch: [232] [ 40/523] learning_rate: 0.034072 loss_vfl: 1.026189 loss_bbox: 0.446292 loss_dfl: 0.419648 loss: 1.881650 eta: 9:10:00 batch_cost: 0.7602 data_cost: 0.0065 ips: 73.6669 images/s [03/19 00:20:15] ppdet.engine INFO: Epoch: [232] [ 60/523] learning_rate: 0.034035 loss_vfl: 1.004063 loss_bbox: 0.431169 loss_dfl: 0.422281 loss: 1.854048 eta: 9:09:41 batch_cost: 0.8596 data_cost: 0.0094 ips: 65.1485 images/s [03/19 00:20:34] ppdet.engine INFO: Epoch: [232] [ 80/523] learning_rate: 0.033999 loss_vfl: 0.979104 loss_bbox: 0.440693 loss_dfl: 0.421683 loss: 1.844456 eta: 9:09:22 batch_cost: 0.8634 data_cost: 0.0355 ips: 64.8594 images/s [03/19 00:20:55] ppdet.engine INFO: Epoch: [232] [100/523] learning_rate: 0.033962 loss_vfl: 0.981553 loss_bbox: 0.443172 loss_dfl: 0.412642 loss: 1.828851 eta: 9:09:03 batch_cost: 0.8790 data_cost: 0.0119 ips: 63.7062 images/s [03/19 00:21:17] ppdet.engine INFO: Epoch: [232] [120/523] learning_rate: 0.033925 loss_vfl: 1.061287 loss_bbox: 0.430171 loss_dfl: 0.435807 loss: 1.933253 eta: 9:08:45 batch_cost: 0.9453 data_cost: 0.0384 ips: 59.2384 images/s [03/19 00:21:36] ppdet.engine INFO: Epoch: [232] [140/523] learning_rate: 0.033889 loss_vfl: 0.980810 loss_bbox: 0.456720 loss_dfl: 0.420368 loss: 1.853665 eta: 9:08:26 batch_cost: 0.7949 data_cost: 0.0737 ips: 70.4535 images/s [03/19 00:21:58] ppdet.engine INFO: Epoch: [232] [160/523] learning_rate: 0.033852 loss_vfl: 0.999246 loss_bbox: 0.445450 loss_dfl: 0.410471 loss: 1.857802 eta: 9:08:07 batch_cost: 0.9297 data_cost: 0.0048 ips: 60.2347 images/s [03/19 00:22:20] ppdet.engine INFO: Epoch: [232] [180/523] learning_rate: 0.033815 loss_vfl: 1.037660 loss_bbox: 0.443671 loss_dfl: 0.434251 loss: 1.900071 eta: 9:07:48 batch_cost: 0.9185 data_cost: 0.0045 ips: 60.9715 images/s [03/19 00:22:38] ppdet.engine INFO: Epoch: [232] [200/523] learning_rate: 0.033779 loss_vfl: 0.972991 loss_bbox: 0.441611 loss_dfl: 0.418096 loss: 1.856186 eta: 9:07:29 batch_cost: 0.8065 data_cost: 0.0037 ips: 69.4343 images/s [03/19 00:23:01] ppdet.engine INFO: Epoch: [232] [220/523] learning_rate: 0.033742 loss_vfl: 0.993833 loss_bbox: 0.431828 loss_dfl: 0.424006 loss: 1.837172 eta: 9:07:11 batch_cost: 1.0047 data_cost: 0.0993 ips: 55.7399 images/s [03/19 00:23:21] ppdet.engine INFO: Epoch: [232] [240/523] learning_rate: 0.033706 loss_vfl: 1.020208 loss_bbox: 0.460149 loss_dfl: 0.431200 loss: 1.894583 eta: 9:06:52 batch_cost: 0.8280 data_cost: 0.0045 ips: 67.6298 images/s [03/19 00:23:42] ppdet.engine INFO: Epoch: [232] [260/523] learning_rate: 0.033669 loss_vfl: 1.032175 loss_bbox: 0.449128 loss_dfl: 0.423119 loss: 1.880940 eta: 9:06:33 batch_cost: 0.8745 data_cost: 0.0020 ips: 64.0337 images/s [03/19 00:24:03] ppdet.engine INFO: Epoch: [232] [280/523] learning_rate: 0.033633 loss_vfl: 1.007300 loss_bbox: 0.448230 loss_dfl: 0.430156 loss: 1.894049 eta: 9:06:14 batch_cost: 0.9561 data_cost: 0.0019 ips: 58.5718 images/s [03/19 00:24:24] ppdet.engine INFO: Epoch: [232] [300/523] learning_rate: 0.033596 loss_vfl: 0.921557 loss_bbox: 0.411522 loss_dfl: 0.386680 loss: 1.738814 eta: 9:05:56 batch_cost: 0.9353 data_cost: 0.0847 ips: 59.8769 images/s [03/19 00:24:44] ppdet.engine INFO: Epoch: [232] [320/523] learning_rate: 0.033560 loss_vfl: 1.039009 loss_bbox: 0.452558 loss_dfl: 0.421724 loss: 1.900967 eta: 9:05:37 batch_cost: 0.8442 data_cost: 0.0005 ips: 66.3341 images/s [03/19 00:25:01] ppdet.engine INFO: Epoch: [232] [340/523] learning_rate: 0.033523 loss_vfl: 0.994033 loss_bbox: 0.452780 loss_dfl: 0.416824 loss: 1.871900 eta: 9:05:17 batch_cost: 0.7645 data_cost: 0.0040 ips: 73.2481 images/s [03/19 00:25:20] ppdet.engine INFO: Epoch: [232] [360/523] learning_rate: 0.033487 loss_vfl: 1.016560 loss_bbox: 0.440921 loss_dfl: 0.420751 loss: 1.860666 eta: 9:04:58 batch_cost: 0.7886 data_cost: 0.0132 ips: 71.0144 images/s [03/19 00:25:42] ppdet.engine INFO: Epoch: [232] [380/523] learning_rate: 0.033450 loss_vfl: 0.991944 loss_bbox: 0.438051 loss_dfl: 0.409626 loss: 1.838995 eta: 9:04:39 batch_cost: 0.9464 data_cost: 0.0027 ips: 59.1737 images/s [03/19 00:26:02] ppdet.engine INFO: Epoch: [232] [400/523] learning_rate: 0.033414 loss_vfl: 1.092429 loss_bbox: 0.450150 loss_dfl: 0.434827 loss: 1.986581 eta: 9:04:20 batch_cost: 0.8190 data_cost: 0.0040 ips: 68.3777 images/s [03/19 00:26:23] ppdet.engine INFO: Epoch: [232] [420/523] learning_rate: 0.033377 loss_vfl: 1.023671 loss_bbox: 0.450458 loss_dfl: 0.428222 loss: 1.918212 eta: 9:04:02 batch_cost: 0.9972 data_cost: 0.0074 ips: 56.1593 images/s [03/19 00:26:43] ppdet.engine INFO: Epoch: [232] [440/523] learning_rate: 0.033341 loss_vfl: 0.987616 loss_bbox: 0.462641 loss_dfl: 0.420432 loss: 1.862736 eta: 9:03:43 batch_cost: 0.8377 data_cost: 0.0047 ips: 66.8520 images/s [03/19 00:27:04] ppdet.engine INFO: Epoch: [232] [460/523] learning_rate: 0.033305 loss_vfl: 1.044862 loss_bbox: 0.448887 loss_dfl: 0.431373 loss: 1.927281 eta: 9:03:24 batch_cost: 0.9585 data_cost: 0.0038 ips: 58.4273 images/s [03/19 00:27:24] ppdet.engine INFO: Epoch: [232] [480/523] learning_rate: 0.033268 loss_vfl: 0.978894 loss_bbox: 0.417576 loss_dfl: 0.402152 loss: 1.810100 eta: 9:03:05 batch_cost: 0.8287 data_cost: 0.0058 ips: 67.5758 images/s [03/19 00:27:45] ppdet.engine INFO: Epoch: [232] [500/523] learning_rate: 0.033232 loss_vfl: 0.935337 loss_bbox: 0.437929 loss_dfl: 0.403236 loss: 1.782248 eta: 9:02:47 batch_cost: 0.9289 data_cost: 0.0373 ips: 60.2842 images/s [03/19 00:28:02] ppdet.engine INFO: Epoch: [232] [520/523] learning_rate: 0.033196 loss_vfl: 1.035533 loss_bbox: 0.461337 loss_dfl: 0.425465 loss: 1.923079 eta: 9:02:27 batch_cost: 0.7089 data_cost: 0.0036 ips: 78.9901 images/s [03/19 00:28:14] ppdet.engine INFO: Epoch: [233] [ 0/523] learning_rate: 0.033190 loss_vfl: 1.032013 loss_bbox: 0.464677 loss_dfl: 0.427416 loss: 1.930997 eta: 9:02:27 batch_cost: 1.1545 data_cost: 0.4484 ips: 48.5041 images/s [03/19 00:28:36] ppdet.engine INFO: Epoch: [233] [ 20/523] learning_rate: 0.033154 loss_vfl: 1.015964 loss_bbox: 0.442674 loss_dfl: 0.418111 loss: 1.872340 eta: 9:02:08 batch_cost: 0.8487 data_cost: 0.0017 ips: 65.9846 images/s [03/19 00:28:57] ppdet.engine INFO: Epoch: [233] [ 40/523] learning_rate: 0.033118 loss_vfl: 0.990867 loss_bbox: 0.442085 loss_dfl: 0.423251 loss: 1.883719 eta: 9:01:49 batch_cost: 0.9501 data_cost: 0.0038 ips: 58.9442 images/s [03/19 00:29:17] ppdet.engine INFO: Epoch: [233] [ 60/523] learning_rate: 0.033081 loss_vfl: 1.051954 loss_bbox: 0.469590 loss_dfl: 0.438639 loss: 1.968575 eta: 9:01:30 batch_cost: 0.8299 data_cost: 0.0025 ips: 67.4746 images/s [03/19 00:29:36] ppdet.engine INFO: Epoch: [233] [ 80/523] learning_rate: 0.033045 loss_vfl: 1.006427 loss_bbox: 0.437158 loss_dfl: 0.409885 loss: 1.843301 eta: 9:01:11 batch_cost: 0.8582 data_cost: 0.0077 ips: 65.2535 images/s [03/19 00:29:55] ppdet.engine INFO: Epoch: [233] [100/523] learning_rate: 0.033009 loss_vfl: 0.998877 loss_bbox: 0.432745 loss_dfl: 0.411965 loss: 1.869438 eta: 9:00:52 batch_cost: 0.8570 data_cost: 0.0152 ips: 65.3424 images/s [03/19 00:30:14] ppdet.engine INFO: Epoch: [233] [120/523] learning_rate: 0.032973 loss_vfl: 0.949577 loss_bbox: 0.423241 loss_dfl: 0.405785 loss: 1.759646 eta: 9:00:33 batch_cost: 0.7894 data_cost: 0.0071 ips: 70.9375 images/s [03/19 00:30:34] ppdet.engine INFO: Epoch: [233] [140/523] learning_rate: 0.032936 loss_vfl: 1.009686 loss_bbox: 0.452686 loss_dfl: 0.433167 loss: 1.913466 eta: 9:00:14 batch_cost: 0.9210 data_cost: 0.0040 ips: 60.8054 images/s [03/19 00:30:55] ppdet.engine INFO: Epoch: [233] [160/523] learning_rate: 0.032900 loss_vfl: 0.958731 loss_bbox: 0.433726 loss_dfl: 0.404186 loss: 1.772935 eta: 8:59:55 batch_cost: 0.9029 data_cost: 0.0030 ips: 62.0229 images/s [03/19 00:31:18] ppdet.engine INFO: Epoch: [233] [180/523] learning_rate: 0.032864 loss_vfl: 1.071850 loss_bbox: 0.475527 loss_dfl: 0.448688 loss: 1.997476 eta: 8:59:37 batch_cost: 0.9965 data_cost: 0.0022 ips: 56.1981 images/s [03/19 00:31:39] ppdet.engine INFO: Epoch: [233] [200/523] learning_rate: 0.032828 loss_vfl: 1.031737 loss_bbox: 0.450142 loss_dfl: 0.426382 loss: 1.891018 eta: 8:59:18 batch_cost: 0.9205 data_cost: 0.1029 ips: 60.8396 images/s [03/19 00:32:02] ppdet.engine INFO: Epoch: [233] [220/523] learning_rate: 0.032792 loss_vfl: 0.984755 loss_bbox: 0.424033 loss_dfl: 0.405891 loss: 1.772269 eta: 8:59:00 batch_cost: 1.0210 data_cost: 0.2194 ips: 54.8497 images/s [03/19 00:32:23] ppdet.engine INFO: Epoch: [233] [240/523] learning_rate: 0.032756 loss_vfl: 0.990363 loss_bbox: 0.421411 loss_dfl: 0.417002 loss: 1.827029 eta: 8:58:42 batch_cost: 0.8870 data_cost: 0.1531 ips: 63.1371 images/s [03/19 00:32:44] ppdet.engine INFO: Epoch: [233] [260/523] learning_rate: 0.032719 loss_vfl: 0.972331 loss_bbox: 0.418031 loss_dfl: 0.413648 loss: 1.780835 eta: 8:58:23 batch_cost: 0.9260 data_cost: 0.0043 ips: 60.4725 images/s [03/19 00:33:05] ppdet.engine INFO: Epoch: [233] [280/523] learning_rate: 0.032683 loss_vfl: 1.010677 loss_bbox: 0.446017 loss_dfl: 0.423284 loss: 1.894280 eta: 8:58:04 batch_cost: 0.9134 data_cost: 0.1494 ips: 61.3090 images/s [03/19 00:33:25] ppdet.engine INFO: Epoch: [233] [300/523] learning_rate: 0.032647 loss_vfl: 0.988930 loss_bbox: 0.431796 loss_dfl: 0.408319 loss: 1.827132 eta: 8:57:45 batch_cost: 0.7996 data_cost: 0.0008 ips: 70.0377 images/s [03/19 00:33:47] ppdet.engine INFO: Epoch: [233] [320/523] learning_rate: 0.032611 loss_vfl: 1.057150 loss_bbox: 0.458258 loss_dfl: 0.433820 loss: 1.956064 eta: 8:57:27 batch_cost: 0.9456 data_cost: 0.1528 ips: 59.2189 images/s [03/19 00:34:08] ppdet.engine INFO: Epoch: [233] [340/523] learning_rate: 0.032575 loss_vfl: 1.013451 loss_bbox: 0.461170 loss_dfl: 0.440997 loss: 1.924376 eta: 8:57:08 batch_cost: 0.8819 data_cost: 0.0055 ips: 63.5017 images/s [03/19 00:34:27] ppdet.engine INFO: Epoch: [233] [360/523] learning_rate: 0.032539 loss_vfl: 1.036794 loss_bbox: 0.469981 loss_dfl: 0.435723 loss: 1.942951 eta: 8:56:49 batch_cost: 0.8308 data_cost: 0.0046 ips: 67.4039 images/s [03/19 00:34:44] ppdet.engine INFO: Epoch: [233] [380/523] learning_rate: 0.032503 loss_vfl: 0.987133 loss_bbox: 0.438454 loss_dfl: 0.418212 loss: 1.819679 eta: 8:56:29 batch_cost: 0.7505 data_cost: 0.0021 ips: 74.6134 images/s [03/19 00:35:03] ppdet.engine INFO: Epoch: [233] [400/523] learning_rate: 0.032467 loss_vfl: 0.979384 loss_bbox: 0.449855 loss_dfl: 0.413558 loss: 1.833985 eta: 8:56:09 batch_cost: 0.7616 data_cost: 0.0107 ips: 73.5328 images/s [03/19 00:35:25] ppdet.engine INFO: Epoch: [233] [420/523] learning_rate: 0.032431 loss_vfl: 0.987315 loss_bbox: 0.460638 loss_dfl: 0.434435 loss: 1.878444 eta: 8:55:51 batch_cost: 0.9282 data_cost: 0.0059 ips: 60.3350 images/s [03/19 00:35:44] ppdet.engine INFO: Epoch: [233] [440/523] learning_rate: 0.032395 loss_vfl: 1.006883 loss_bbox: 0.476063 loss_dfl: 0.443278 loss: 1.923555 eta: 8:55:32 batch_cost: 0.8792 data_cost: 0.0045 ips: 63.6921 images/s [03/19 00:36:07] ppdet.engine INFO: Epoch: [233] [460/523] learning_rate: 0.032359 loss_vfl: 1.035734 loss_bbox: 0.465743 loss_dfl: 0.427747 loss: 1.913116 eta: 8:55:14 batch_cost: 0.9631 data_cost: 0.0067 ips: 58.1439 images/s [03/19 00:36:26] ppdet.engine INFO: Epoch: [233] [480/523] learning_rate: 0.032324 loss_vfl: 1.002023 loss_bbox: 0.429614 loss_dfl: 0.416754 loss: 1.828372 eta: 8:54:54 batch_cost: 0.7414 data_cost: 0.0034 ips: 75.5295 images/s [03/19 00:36:47] ppdet.engine INFO: Epoch: [233] [500/523] learning_rate: 0.032288 loss_vfl: 0.974248 loss_bbox: 0.437297 loss_dfl: 0.420480 loss: 1.841243 eta: 8:54:36 batch_cost: 0.9941 data_cost: 0.0061 ips: 56.3323 images/s [03/19 00:37:04] ppdet.engine INFO: Epoch: [233] [520/523] learning_rate: 0.032252 loss_vfl: 1.046583 loss_bbox: 0.478708 loss_dfl: 0.450337 loss: 1.984425 eta: 8:54:16 batch_cost: 0.7654 data_cost: 0.0139 ips: 73.1664 images/s [03/19 00:37:15] ppdet.engine INFO: Epoch: [234] [ 0/523] learning_rate: 0.032246 loss_vfl: 1.041325 loss_bbox: 0.486557 loss_dfl: 0.450337 loss: 1.984425 eta: 8:54:15 batch_cost: 1.0818 data_cost: 0.2941 ips: 51.7661 images/s [03/19 00:37:38] ppdet.engine INFO: Epoch: [234] [ 20/523] learning_rate: 0.032211 loss_vfl: 0.983019 loss_bbox: 0.429079 loss_dfl: 0.418925 loss: 1.833584 eta: 8:53:57 batch_cost: 0.9850 data_cost: 0.0047 ips: 56.8511 images/s [03/19 00:37:59] ppdet.engine INFO: Epoch: [234] [ 40/523] learning_rate: 0.032175 loss_vfl: 1.032563 loss_bbox: 0.452444 loss_dfl: 0.451766 loss: 1.961579 eta: 8:53:39 batch_cost: 0.9369 data_cost: 0.0030 ips: 59.7724 images/s [03/19 00:38:20] ppdet.engine INFO: Epoch: [234] [ 60/523] learning_rate: 0.032139 loss_vfl: 0.950953 loss_bbox: 0.405241 loss_dfl: 0.397007 loss: 1.762310 eta: 8:53:20 batch_cost: 0.9781 data_cost: 0.0015 ips: 57.2530 images/s [03/19 00:38:44] ppdet.engine INFO: Epoch: [234] [ 80/523] learning_rate: 0.032103 loss_vfl: 1.009601 loss_bbox: 0.429123 loss_dfl: 0.422455 loss: 1.853225 eta: 8:53:02 batch_cost: 1.0453 data_cost: 0.0010 ips: 53.5729 images/s [03/19 00:39:04] ppdet.engine INFO: Epoch: [234] [100/523] learning_rate: 0.032067 loss_vfl: 1.014687 loss_bbox: 0.439188 loss_dfl: 0.417054 loss: 1.842063 eta: 8:52:44 batch_cost: 0.9195 data_cost: 0.0020 ips: 60.9040 images/s [03/19 00:39:23] ppdet.engine INFO: Epoch: [234] [120/523] learning_rate: 0.032032 loss_vfl: 0.981211 loss_bbox: 0.422681 loss_dfl: 0.410164 loss: 1.841627 eta: 8:52:25 batch_cost: 0.8528 data_cost: 0.0046 ips: 65.6623 images/s [03/19 00:39:41] ppdet.engine INFO: Epoch: [234] [140/523] learning_rate: 0.031996 loss_vfl: 0.993245 loss_bbox: 0.418757 loss_dfl: 0.409734 loss: 1.800626 eta: 8:52:06 batch_cost: 0.8096 data_cost: 0.0031 ips: 69.1660 images/s [03/19 00:39:59] ppdet.engine INFO: Epoch: [234] [160/523] learning_rate: 0.031960 loss_vfl: 1.062519 loss_bbox: 0.473704 loss_dfl: 0.446052 loss: 1.968129 eta: 8:51:46 batch_cost: 0.7919 data_cost: 0.0025 ips: 70.7144 images/s [03/19 00:40:23] ppdet.engine INFO: Epoch: [234] [180/523] learning_rate: 0.031924 loss_vfl: 0.985873 loss_bbox: 0.441912 loss_dfl: 0.411256 loss: 1.829642 eta: 8:51:28 batch_cost: 1.0400 data_cost: 0.0065 ips: 53.8486 images/s [03/19 00:40:44] ppdet.engine INFO: Epoch: [234] [200/523] learning_rate: 0.031889 loss_vfl: 1.023315 loss_bbox: 0.421155 loss_dfl: 0.428051 loss: 1.863033 eta: 8:51:10 batch_cost: 0.9076 data_cost: 0.0055 ips: 61.7045 images/s [03/19 00:41:05] ppdet.engine INFO: Epoch: [234] [220/523] learning_rate: 0.031853 loss_vfl: 1.014099 loss_bbox: 0.460691 loss_dfl: 0.432709 loss: 1.871635 eta: 8:50:51 batch_cost: 0.9140 data_cost: 0.0026 ips: 61.2685 images/s [03/19 00:41:26] ppdet.engine INFO: Epoch: [234] [240/523] learning_rate: 0.031817 loss_vfl: 1.005899 loss_bbox: 0.449818 loss_dfl: 0.419181 loss: 1.894555 eta: 8:50:32 batch_cost: 0.9416 data_cost: 0.0027 ips: 59.4748 images/s [03/19 00:41:46] ppdet.engine INFO: Epoch: [234] [260/523] learning_rate: 0.031782 loss_vfl: 1.045501 loss_bbox: 0.451124 loss_dfl: 0.421156 loss: 1.930804 eta: 8:50:14 batch_cost: 0.8849 data_cost: 0.0003 ips: 63.2840 images/s [03/19 00:42:08] ppdet.engine INFO: Epoch: [234] [280/523] learning_rate: 0.031746 loss_vfl: 1.008178 loss_bbox: 0.457583 loss_dfl: 0.427508 loss: 1.885328 eta: 8:49:55 batch_cost: 0.9344 data_cost: 0.0041 ips: 59.9318 images/s [03/19 00:42:28] ppdet.engine INFO: Epoch: [234] [300/523] learning_rate: 0.031710 loss_vfl: 1.046673 loss_bbox: 0.444957 loss_dfl: 0.442102 loss: 1.950039 eta: 8:49:37 batch_cost: 0.9467 data_cost: 0.0024 ips: 59.1502 images/s [03/19 00:42:50] ppdet.engine INFO: Epoch: [234] [320/523] learning_rate: 0.031675 loss_vfl: 1.046254 loss_bbox: 0.456702 loss_dfl: 0.423180 loss: 1.895534 eta: 8:49:18 batch_cost: 0.9697 data_cost: 0.0049 ips: 57.7513 images/s [03/19 00:43:12] ppdet.engine INFO: Epoch: [234] [340/523] learning_rate: 0.031639 loss_vfl: 1.023310 loss_bbox: 0.440851 loss_dfl: 0.437163 loss: 1.905025 eta: 8:49:00 batch_cost: 0.9841 data_cost: 0.0056 ips: 56.9060 images/s [03/19 00:43:33] ppdet.engine INFO: Epoch: [234] [360/523] learning_rate: 0.031604 loss_vfl: 0.953699 loss_bbox: 0.405837 loss_dfl: 0.395645 loss: 1.745501 eta: 8:48:41 batch_cost: 0.9319 data_cost: 0.0074 ips: 60.0924 images/s [03/19 00:43:54] ppdet.engine INFO: Epoch: [234] [380/523] learning_rate: 0.031568 loss_vfl: 0.995708 loss_bbox: 0.447612 loss_dfl: 0.421330 loss: 1.864207 eta: 8:48:23 batch_cost: 0.9280 data_cost: 0.0050 ips: 60.3426 images/s [03/19 00:44:12] ppdet.engine INFO: Epoch: [234] [400/523] learning_rate: 0.031533 loss_vfl: 1.003386 loss_bbox: 0.448628 loss_dfl: 0.427150 loss: 1.883474 eta: 8:48:03 batch_cost: 0.7781 data_cost: 0.0008 ips: 71.9713 images/s [03/19 00:44:29] ppdet.engine INFO: Epoch: [234] [420/523] learning_rate: 0.031497 loss_vfl: 1.073781 loss_bbox: 0.485537 loss_dfl: 0.464833 loss: 2.026810 eta: 8:47:44 batch_cost: 0.7709 data_cost: 0.0036 ips: 72.6378 images/s [03/19 00:44:50] ppdet.engine INFO: Epoch: [234] [440/523] learning_rate: 0.031462 loss_vfl: 1.012750 loss_bbox: 0.441623 loss_dfl: 0.419759 loss: 1.863889 eta: 8:47:25 batch_cost: 0.9186 data_cost: 0.0040 ips: 60.9596 images/s [03/19 00:45:10] ppdet.engine INFO: Epoch: [234] [460/523] learning_rate: 0.031426 loss_vfl: 1.030802 loss_bbox: 0.445682 loss_dfl: 0.430478 loss: 1.916614 eta: 8:47:07 batch_cost: 0.9028 data_cost: 0.0033 ips: 62.0288 images/s [03/19 00:45:30] ppdet.engine INFO: Epoch: [234] [480/523] learning_rate: 0.031391 loss_vfl: 1.024840 loss_bbox: 0.451278 loss_dfl: 0.417681 loss: 1.898201 eta: 8:46:48 batch_cost: 0.8724 data_cost: 0.0154 ips: 64.1879 images/s [03/19 00:45:51] ppdet.engine INFO: Epoch: [234] [500/523] learning_rate: 0.031355 loss_vfl: 1.059859 loss_bbox: 0.442775 loss_dfl: 0.425518 loss: 1.951432 eta: 8:46:29 batch_cost: 0.9842 data_cost: 0.0031 ips: 56.9000 images/s [03/19 00:46:10] ppdet.engine INFO: Epoch: [234] [520/523] learning_rate: 0.031320 loss_vfl: 1.022905 loss_bbox: 0.436421 loss_dfl: 0.409641 loss: 1.864591 eta: 8:46:11 batch_cost: 0.8849 data_cost: 0.0038 ips: 63.2808 images/s [03/19 00:46:23] ppdet.engine INFO: Epoch: [235] [ 0/523] learning_rate: 0.031315 loss_vfl: 1.022905 loss_bbox: 0.436421 loss_dfl: 0.427077 loss: 1.874818 eta: 8:46:10 batch_cost: 1.2431 data_cost: 0.4597 ips: 45.0473 images/s [03/19 00:46:44] ppdet.engine INFO: Epoch: [235] [ 20/523] learning_rate: 0.031279 loss_vfl: 0.978607 loss_bbox: 0.430290 loss_dfl: 0.403480 loss: 1.811583 eta: 8:45:51 batch_cost: 0.8493 data_cost: 0.0014 ips: 65.9350 images/s [03/19 00:47:05] ppdet.engine INFO: Epoch: [235] [ 40/523] learning_rate: 0.031244 loss_vfl: 1.040009 loss_bbox: 0.457731 loss_dfl: 0.433452 loss: 1.930976 eta: 8:45:32 batch_cost: 0.9099 data_cost: 0.0030 ips: 61.5426 images/s [03/19 00:47:25] ppdet.engine INFO: Epoch: [235] [ 60/523] learning_rate: 0.031208 loss_vfl: 0.997399 loss_bbox: 0.450781 loss_dfl: 0.425016 loss: 1.881118 eta: 8:45:14 batch_cost: 0.8880 data_cost: 0.0057 ips: 63.0635 images/s [03/19 00:47:46] ppdet.engine INFO: Epoch: [235] [ 80/523] learning_rate: 0.031173 loss_vfl: 1.025560 loss_bbox: 0.439175 loss_dfl: 0.425337 loss: 1.891243 eta: 8:44:55 batch_cost: 0.9311 data_cost: 0.1413 ips: 60.1450 images/s [03/19 00:48:08] ppdet.engine INFO: Epoch: [235] [100/523] learning_rate: 0.031138 loss_vfl: 1.019469 loss_bbox: 0.437320 loss_dfl: 0.420245 loss: 1.874376 eta: 8:44:37 batch_cost: 0.9777 data_cost: 0.0051 ips: 57.2751 images/s [03/19 00:48:29] ppdet.engine INFO: Epoch: [235] [120/523] learning_rate: 0.031102 loss_vfl: 0.990443 loss_bbox: 0.418204 loss_dfl: 0.407941 loss: 1.827396 eta: 8:44:18 batch_cost: 0.8794 data_cost: 0.0069 ips: 63.6777 images/s [03/19 00:48:48] ppdet.engine INFO: Epoch: [235] [140/523] learning_rate: 0.031067 loss_vfl: 1.004031 loss_bbox: 0.435853 loss_dfl: 0.413210 loss: 1.865099 eta: 8:43:59 batch_cost: 0.7800 data_cost: 0.0112 ips: 71.7917 images/s [03/19 00:49:06] ppdet.engine INFO: Epoch: [235] [160/523] learning_rate: 0.031032 loss_vfl: 1.003787 loss_bbox: 0.440347 loss_dfl: 0.410382 loss: 1.870464 eta: 8:43:39 batch_cost: 0.7416 data_cost: 0.0084 ips: 75.5112 images/s [03/19 00:49:24] ppdet.engine INFO: Epoch: [235] [180/523] learning_rate: 0.030997 loss_vfl: 0.995689 loss_bbox: 0.427659 loss_dfl: 0.407184 loss: 1.838745 eta: 8:43:20 batch_cost: 0.8089 data_cost: 0.0005 ips: 69.2297 images/s [03/19 00:49:43] ppdet.engine INFO: Epoch: [235] [200/523] learning_rate: 0.030961 loss_vfl: 1.039777 loss_bbox: 0.432005 loss_dfl: 0.415795 loss: 1.876807 eta: 8:43:01 batch_cost: 0.8098 data_cost: 0.0044 ips: 69.1519 images/s [03/19 00:50:05] ppdet.engine INFO: Epoch: [235] [220/523] learning_rate: 0.030926 loss_vfl: 1.001945 loss_bbox: 0.445997 loss_dfl: 0.415617 loss: 1.844716 eta: 8:42:42 batch_cost: 0.9224 data_cost: 0.0058 ips: 60.7104 images/s [03/19 00:50:24] ppdet.engine INFO: Epoch: [235] [240/523] learning_rate: 0.030891 loss_vfl: 0.956365 loss_bbox: 0.440042 loss_dfl: 0.414247 loss: 1.821601 eta: 8:42:23 batch_cost: 0.8481 data_cost: 0.0060 ips: 66.0264 images/s [03/19 00:50:45] ppdet.engine INFO: Epoch: [235] [260/523] learning_rate: 0.030856 loss_vfl: 0.981941 loss_bbox: 0.432361 loss_dfl: 0.420189 loss: 1.852999 eta: 8:42:04 batch_cost: 0.9397 data_cost: 0.0003 ips: 59.5932 images/s [03/19 00:51:07] ppdet.engine INFO: Epoch: [235] [280/523] learning_rate: 0.030821 loss_vfl: 1.012110 loss_bbox: 0.434931 loss_dfl: 0.422454 loss: 1.888257 eta: 8:41:46 batch_cost: 0.9603 data_cost: 0.0066 ips: 58.3163 images/s [03/19 00:51:28] ppdet.engine INFO: Epoch: [235] [300/523] learning_rate: 0.030785 loss_vfl: 0.962861 loss_bbox: 0.429624 loss_dfl: 0.403035 loss: 1.771071 eta: 8:41:27 batch_cost: 0.8622 data_cost: 0.1376 ips: 64.9479 images/s [03/19 00:51:49] ppdet.engine INFO: Epoch: [235] [320/523] learning_rate: 0.030750 loss_vfl: 0.964391 loss_bbox: 0.439597 loss_dfl: 0.428040 loss: 1.818252 eta: 8:41:08 batch_cost: 0.9250 data_cost: 0.0056 ips: 60.5374 images/s [03/19 00:52:10] ppdet.engine INFO: Epoch: [235] [340/523] learning_rate: 0.030715 loss_vfl: 0.998379 loss_bbox: 0.442263 loss_dfl: 0.428211 loss: 1.879867 eta: 8:40:49 batch_cost: 0.8032 data_cost: 0.0075 ips: 69.7195 images/s [03/19 00:52:30] ppdet.engine INFO: Epoch: [235] [360/523] learning_rate: 0.030680 loss_vfl: 1.034341 loss_bbox: 0.464903 loss_dfl: 0.443717 loss: 1.948928 eta: 8:40:30 batch_cost: 0.8264 data_cost: 0.0042 ips: 67.7611 images/s [03/19 00:52:50] ppdet.engine INFO: Epoch: [235] [380/523] learning_rate: 0.030645 loss_vfl: 0.984738 loss_bbox: 0.433550 loss_dfl: 0.411240 loss: 1.832721 eta: 8:40:11 batch_cost: 0.8550 data_cost: 0.1473 ips: 65.4937 images/s [03/19 00:53:11] ppdet.engine INFO: Epoch: [235] [400/523] learning_rate: 0.030610 loss_vfl: 1.015045 loss_bbox: 0.449992 loss_dfl: 0.431826 loss: 1.924265 eta: 8:39:53 batch_cost: 0.9325 data_cost: 0.1392 ips: 60.0526 images/s [03/19 00:53:32] ppdet.engine INFO: Epoch: [235] [420/523] learning_rate: 0.030575 loss_vfl: 1.013286 loss_bbox: 0.445140 loss_dfl: 0.418086 loss: 1.847691 eta: 8:39:34 batch_cost: 0.9516 data_cost: 0.2144 ips: 58.8509 images/s [03/19 00:53:54] ppdet.engine INFO: Epoch: [235] [440/523] learning_rate: 0.030540 loss_vfl: 0.970191 loss_bbox: 0.460982 loss_dfl: 0.416526 loss: 1.841005 eta: 8:39:15 batch_cost: 0.8740 data_cost: 0.1108 ips: 64.0765 images/s [03/19 00:54:10] ppdet.engine INFO: Epoch: [235] [460/523] learning_rate: 0.030505 loss_vfl: 1.018252 loss_bbox: 0.447878 loss_dfl: 0.432231 loss: 1.907586 eta: 8:38:55 batch_cost: 0.7049 data_cost: 0.0024 ips: 79.4416 images/s [03/19 00:54:28] ppdet.engine INFO: Epoch: [235] [480/523] learning_rate: 0.030470 loss_vfl: 0.980617 loss_bbox: 0.430961 loss_dfl: 0.403852 loss: 1.806421 eta: 8:38:36 batch_cost: 0.7389 data_cost: 0.0090 ips: 75.7925 images/s [03/19 00:54:48] ppdet.engine INFO: Epoch: [235] [500/523] learning_rate: 0.030435 loss_vfl: 1.031278 loss_bbox: 0.460972 loss_dfl: 0.437629 loss: 1.943657 eta: 8:38:17 batch_cost: 0.8832 data_cost: 0.0035 ips: 63.4041 images/s [03/19 00:55:05] ppdet.engine INFO: Epoch: [235] [520/523] learning_rate: 0.030400 loss_vfl: 1.031208 loss_bbox: 0.450570 loss_dfl: 0.427892 loss: 1.921624 eta: 8:37:57 batch_cost: 0.7420 data_cost: 0.0049 ips: 75.4725 images/s [03/19 00:55:18] ppdet.engine INFO: Epoch: [236] [ 0/523] learning_rate: 0.030395 loss_vfl: 0.987003 loss_bbox: 0.431331 loss_dfl: 0.413967 loss: 1.824098 eta: 8:37:57 batch_cost: 1.1098 data_cost: 0.4481 ips: 50.4587 images/s [03/19 00:55:39] ppdet.engine INFO: Epoch: [236] [ 20/523] learning_rate: 0.030360 loss_vfl: 0.957988 loss_bbox: 0.437062 loss_dfl: 0.410482 loss: 1.805156 eta: 8:37:38 batch_cost: 0.8920 data_cost: 0.0056 ips: 62.7804 images/s [03/19 00:56:01] ppdet.engine INFO: Epoch: [236] [ 40/523] learning_rate: 0.030325 loss_vfl: 1.003419 loss_bbox: 0.422006 loss_dfl: 0.410517 loss: 1.835592 eta: 8:37:19 batch_cost: 0.8686 data_cost: 0.0203 ips: 64.4750 images/s [03/19 00:56:22] ppdet.engine INFO: Epoch: [236] [ 60/523] learning_rate: 0.030290 loss_vfl: 0.978614 loss_bbox: 0.425041 loss_dfl: 0.410830 loss: 1.801953 eta: 8:37:01 batch_cost: 0.9621 data_cost: 0.0558 ips: 58.2048 images/s [03/19 00:56:44] ppdet.engine INFO: Epoch: [236] [ 80/523] learning_rate: 0.030255 loss_vfl: 0.985622 loss_bbox: 0.433894 loss_dfl: 0.415990 loss: 1.835505 eta: 8:36:42 batch_cost: 0.8698 data_cost: 0.0726 ips: 64.3806 images/s [03/19 00:57:04] ppdet.engine INFO: Epoch: [236] [100/523] learning_rate: 0.030220 loss_vfl: 0.993881 loss_bbox: 0.467609 loss_dfl: 0.433285 loss: 1.908273 eta: 8:36:23 batch_cost: 0.8664 data_cost: 0.0031 ips: 64.6319 images/s [03/19 00:57:26] ppdet.engine INFO: Epoch: [236] [120/523] learning_rate: 0.030185 loss_vfl: 1.020760 loss_bbox: 0.456986 loss_dfl: 0.440089 loss: 1.930357 eta: 8:36:05 batch_cost: 0.9628 data_cost: 0.2187 ips: 58.1639 images/s [03/19 00:57:47] ppdet.engine INFO: Epoch: [236] [140/523] learning_rate: 0.030150 loss_vfl: 1.032999 loss_bbox: 0.462736 loss_dfl: 0.431484 loss: 1.930085 eta: 8:35:46 batch_cost: 0.9158 data_cost: 0.1376 ips: 61.1482 images/s [03/19 00:58:09] ppdet.engine INFO: Epoch: [236] [160/523] learning_rate: 0.030116 loss_vfl: 1.009228 loss_bbox: 0.440930 loss_dfl: 0.423915 loss: 1.880413 eta: 8:35:28 batch_cost: 0.9846 data_cost: 0.3148 ips: 56.8768 images/s [03/19 00:58:30] ppdet.engine INFO: Epoch: [236] [180/523] learning_rate: 0.030081 loss_vfl: 1.046690 loss_bbox: 0.466243 loss_dfl: 0.444982 loss: 1.955258 eta: 8:35:09 batch_cost: 0.9097 data_cost: 0.0454 ips: 61.5601 images/s [03/19 00:58:50] ppdet.engine INFO: Epoch: [236] [200/523] learning_rate: 0.030046 loss_vfl: 0.977899 loss_bbox: 0.411820 loss_dfl: 0.404843 loss: 1.797942 eta: 8:34:50 batch_cost: 0.8077 data_cost: 0.1216 ips: 69.3312 images/s [03/19 00:59:08] ppdet.engine INFO: Epoch: [236] [220/523] learning_rate: 0.030011 loss_vfl: 1.020606 loss_bbox: 0.452593 loss_dfl: 0.425275 loss: 1.918408 eta: 8:34:31 batch_cost: 0.7920 data_cost: 0.0716 ips: 70.7073 images/s [03/19 00:59:26] ppdet.engine INFO: Epoch: [236] [240/523] learning_rate: 0.029977 loss_vfl: 0.994137 loss_bbox: 0.432732 loss_dfl: 0.407691 loss: 1.834425 eta: 8:34:11 batch_cost: 0.8000 data_cost: 0.0043 ips: 69.9992 images/s [03/19 00:59:46] ppdet.engine INFO: Epoch: [236] [260/523] learning_rate: 0.029942 loss_vfl: 0.985817 loss_bbox: 0.447787 loss_dfl: 0.416722 loss: 1.841354 eta: 8:33:52 batch_cost: 0.8367 data_cost: 0.0121 ips: 66.9313 images/s [03/19 01:00:07] ppdet.engine INFO: Epoch: [236] [280/523] learning_rate: 0.029907 loss_vfl: 1.009101 loss_bbox: 0.434950 loss_dfl: 0.419048 loss: 1.857914 eta: 8:33:34 batch_cost: 0.9011 data_cost: 0.0062 ips: 62.1470 images/s [03/19 01:00:27] ppdet.engine INFO: Epoch: [236] [300/523] learning_rate: 0.029872 loss_vfl: 0.957439 loss_bbox: 0.438044 loss_dfl: 0.408781 loss: 1.817065 eta: 8:33:15 batch_cost: 0.8491 data_cost: 0.1018 ips: 65.9485 images/s [03/19 01:00:49] ppdet.engine INFO: Epoch: [236] [320/523] learning_rate: 0.029838 loss_vfl: 0.983652 loss_bbox: 0.440989 loss_dfl: 0.416891 loss: 1.829744 eta: 8:32:56 batch_cost: 0.9380 data_cost: 0.1240 ips: 59.6999 images/s [03/19 01:01:10] ppdet.engine INFO: Epoch: [236] [340/523] learning_rate: 0.029803 loss_vfl: 0.983562 loss_bbox: 0.427235 loss_dfl: 0.407807 loss: 1.817194 eta: 8:32:38 batch_cost: 0.9452 data_cost: 0.1041 ips: 59.2450 images/s [03/19 01:01:33] ppdet.engine INFO: Epoch: [236] [360/523] learning_rate: 0.029768 loss_vfl: 1.002713 loss_bbox: 0.435322 loss_dfl: 0.418846 loss: 1.886728 eta: 8:32:19 batch_cost: 0.9797 data_cost: 0.0024 ips: 57.1596 images/s [03/19 01:01:54] ppdet.engine INFO: Epoch: [236] [380/523] learning_rate: 0.029734 loss_vfl: 0.985479 loss_bbox: 0.444342 loss_dfl: 0.414520 loss: 1.828808 eta: 8:32:01 batch_cost: 0.8847 data_cost: 0.0056 ips: 63.2998 images/s [03/19 01:02:14] ppdet.engine INFO: Epoch: [236] [400/523] learning_rate: 0.029699 loss_vfl: 1.045713 loss_bbox: 0.453175 loss_dfl: 0.421711 loss: 1.880782 eta: 8:31:42 batch_cost: 0.8670 data_cost: 0.0057 ips: 64.5923 images/s [03/19 01:02:35] ppdet.engine INFO: Epoch: [236] [420/523] learning_rate: 0.029665 loss_vfl: 1.001283 loss_bbox: 0.443295 loss_dfl: 0.426305 loss: 1.867827 eta: 8:31:23 batch_cost: 0.9489 data_cost: 0.0765 ips: 59.0164 images/s [03/19 01:02:58] ppdet.engine INFO: Epoch: [236] [440/523] learning_rate: 0.029630 loss_vfl: 0.993849 loss_bbox: 0.449654 loss_dfl: 0.421638 loss: 1.866223 eta: 8:31:05 batch_cost: 0.9756 data_cost: 0.0064 ips: 57.4019 images/s [03/19 01:03:17] ppdet.engine INFO: Epoch: [236] [460/523] learning_rate: 0.029596 loss_vfl: 1.045949 loss_bbox: 0.481549 loss_dfl: 0.440171 loss: 1.979640 eta: 8:30:46 batch_cost: 0.8648 data_cost: 0.0025 ips: 64.7535 images/s [03/19 01:03:37] ppdet.engine INFO: Epoch: [236] [480/523] learning_rate: 0.029561 loss_vfl: 1.004745 loss_bbox: 0.447864 loss_dfl: 0.434705 loss: 1.885106 eta: 8:30:27 batch_cost: 0.8588 data_cost: 0.0037 ips: 65.2088 images/s [03/19 01:03:56] ppdet.engine INFO: Epoch: [236] [500/523] learning_rate: 0.029527 loss_vfl: 0.978789 loss_bbox: 0.420306 loss_dfl: 0.400670 loss: 1.802955 eta: 8:30:08 batch_cost: 0.8220 data_cost: 0.0758 ips: 68.1227 images/s [03/19 01:04:10] ppdet.engine INFO: Epoch: [236] [520/523] learning_rate: 0.029492 loss_vfl: 1.021044 loss_bbox: 0.442444 loss_dfl: 0.426306 loss: 1.874755 eta: 8:29:48 batch_cost: 0.6265 data_cost: 0.0004 ips: 89.3900 images/s [03/19 01:04:24] ppdet.engine INFO: Epoch: [237] [ 0/523] learning_rate: 0.029487 loss_vfl: 0.991842 loss_bbox: 0.439681 loss_dfl: 0.418137 loss: 1.823719 eta: 8:29:47 batch_cost: 1.0805 data_cost: 0.2952 ips: 51.8296 images/s [03/19 01:04:43] ppdet.engine INFO: Epoch: [237] [ 20/523] learning_rate: 0.029452 loss_vfl: 0.935564 loss_bbox: 0.418726 loss_dfl: 0.401701 loss: 1.730699 eta: 8:29:29 batch_cost: 0.8857 data_cost: 0.0089 ips: 63.2274 images/s [03/19 01:05:04] ppdet.engine INFO: Epoch: [237] [ 40/523] learning_rate: 0.029418 loss_vfl: 0.997975 loss_bbox: 0.444476 loss_dfl: 0.432078 loss: 1.895927 eta: 8:29:10 batch_cost: 0.9311 data_cost: 0.0044 ips: 60.1460 images/s [03/19 01:05:25] ppdet.engine INFO: Epoch: [237] [ 60/523] learning_rate: 0.029383 loss_vfl: 1.049457 loss_bbox: 0.451957 loss_dfl: 0.442943 loss: 1.962190 eta: 8:28:51 batch_cost: 0.9319 data_cost: 0.0028 ips: 60.0932 images/s [03/19 01:05:48] ppdet.engine INFO: Epoch: [237] [ 80/523] learning_rate: 0.029349 loss_vfl: 1.012919 loss_bbox: 0.451455 loss_dfl: 0.420020 loss: 1.900735 eta: 8:28:33 batch_cost: 1.0430 data_cost: 0.0017 ips: 53.6899 images/s [03/19 01:06:09] ppdet.engine INFO: Epoch: [237] [100/523] learning_rate: 0.029315 loss_vfl: 1.045655 loss_bbox: 0.442638 loss_dfl: 0.420771 loss: 1.911413 eta: 8:28:15 batch_cost: 0.9265 data_cost: 0.0098 ips: 60.4444 images/s [03/19 01:06:33] ppdet.engine INFO: Epoch: [237] [120/523] learning_rate: 0.029280 loss_vfl: 0.998376 loss_bbox: 0.433617 loss_dfl: 0.421096 loss: 1.849745 eta: 8:27:57 batch_cost: 1.0961 data_cost: 0.0029 ips: 51.0900 images/s [03/19 01:06:54] ppdet.engine INFO: Epoch: [237] [140/523] learning_rate: 0.029246 loss_vfl: 1.024382 loss_bbox: 0.443494 loss_dfl: 0.420583 loss: 1.912562 eta: 8:27:39 batch_cost: 0.9920 data_cost: 0.0051 ips: 56.4528 images/s [03/19 01:07:17] ppdet.engine INFO: Epoch: [237] [160/523] learning_rate: 0.029212 loss_vfl: 0.985573 loss_bbox: 0.436389 loss_dfl: 0.415396 loss: 1.832125 eta: 8:27:21 batch_cost: 1.0518 data_cost: 0.0025 ips: 53.2401 images/s [03/19 01:07:38] ppdet.engine INFO: Epoch: [237] [180/523] learning_rate: 0.029177 loss_vfl: 0.965902 loss_bbox: 0.439719 loss_dfl: 0.409666 loss: 1.796613 eta: 8:27:03 batch_cost: 0.9324 data_cost: 0.0036 ips: 60.0585 images/s [03/19 01:08:01] ppdet.engine INFO: Epoch: [237] [200/523] learning_rate: 0.029143 loss_vfl: 0.979149 loss_bbox: 0.438402 loss_dfl: 0.405768 loss: 1.814522 eta: 8:26:45 batch_cost: 1.0867 data_cost: 0.0070 ips: 51.5326 images/s [03/19 01:08:21] ppdet.engine INFO: Epoch: [237] [220/523] learning_rate: 0.029109 loss_vfl: 1.005715 loss_bbox: 0.430247 loss_dfl: 0.415145 loss: 1.861197 eta: 8:26:26 batch_cost: 0.9218 data_cost: 0.0034 ips: 60.7483 images/s [03/19 01:08:40] ppdet.engine INFO: Epoch: [237] [240/523] learning_rate: 0.029074 loss_vfl: 0.997356 loss_bbox: 0.423548 loss_dfl: 0.418368 loss: 1.845103 eta: 8:26:07 batch_cost: 0.8239 data_cost: 0.0026 ips: 67.9692 images/s [03/19 01:08:58] ppdet.engine INFO: Epoch: [237] [260/523] learning_rate: 0.029040 loss_vfl: 1.011581 loss_bbox: 0.449369 loss_dfl: 0.429056 loss: 1.891469 eta: 8:25:48 batch_cost: 0.7625 data_cost: 0.0020 ips: 73.4472 images/s [03/19 01:09:19] ppdet.engine INFO: Epoch: [237] [280/523] learning_rate: 0.029006 loss_vfl: 1.018080 loss_bbox: 0.444168 loss_dfl: 0.430304 loss: 1.904527 eta: 8:25:29 batch_cost: 0.9523 data_cost: 0.0032 ips: 58.8057 images/s [03/19 01:09:40] ppdet.engine INFO: Epoch: [237] [300/523] learning_rate: 0.028972 loss_vfl: 0.982136 loss_bbox: 0.433049 loss_dfl: 0.402834 loss: 1.800252 eta: 8:25:11 batch_cost: 0.9310 data_cost: 0.0103 ips: 60.1490 images/s [03/19 01:10:03] ppdet.engine INFO: Epoch: [237] [320/523] learning_rate: 0.028937 loss_vfl: 1.008033 loss_bbox: 0.442113 loss_dfl: 0.418603 loss: 1.884803 eta: 8:24:53 batch_cost: 1.1031 data_cost: 0.0037 ips: 50.7640 images/s [03/19 01:10:27] ppdet.engine INFO: Epoch: [237] [340/523] learning_rate: 0.028903 loss_vfl: 0.984662 loss_bbox: 0.438555 loss_dfl: 0.420755 loss: 1.852600 eta: 8:24:35 batch_cost: 1.0861 data_cost: 0.0039 ips: 51.5599 images/s [03/19 01:10:46] ppdet.engine INFO: Epoch: [237] [360/523] learning_rate: 0.028869 loss_vfl: 1.042334 loss_bbox: 0.443563 loss_dfl: 0.428066 loss: 1.926992 eta: 8:24:16 batch_cost: 0.8211 data_cost: 0.0136 ips: 68.2017 images/s [03/19 01:11:08] ppdet.engine INFO: Epoch: [237] [380/523] learning_rate: 0.028835 loss_vfl: 1.009544 loss_bbox: 0.439419 loss_dfl: 0.412981 loss: 1.854116 eta: 8:23:58 batch_cost: 1.0423 data_cost: 0.0040 ips: 53.7279 images/s [03/19 01:11:30] ppdet.engine INFO: Epoch: [237] [400/523] learning_rate: 0.028801 loss_vfl: 0.993216 loss_bbox: 0.435757 loss_dfl: 0.420690 loss: 1.873715 eta: 8:23:40 batch_cost: 1.0150 data_cost: 0.0089 ips: 55.1736 images/s [03/19 01:11:51] ppdet.engine INFO: Epoch: [237] [420/523] learning_rate: 0.028767 loss_vfl: 1.010201 loss_bbox: 0.439001 loss_dfl: 0.418941 loss: 1.863861 eta: 8:23:21 batch_cost: 0.9020 data_cost: 0.0017 ips: 62.0846 images/s [03/19 01:12:14] ppdet.engine INFO: Epoch: [237] [440/523] learning_rate: 0.028733 loss_vfl: 1.003295 loss_bbox: 0.439997 loss_dfl: 0.419068 loss: 1.841202 eta: 8:23:03 batch_cost: 1.0224 data_cost: 0.0046 ips: 54.7753 images/s [03/19 01:12:37] ppdet.engine INFO: Epoch: [237] [460/523] learning_rate: 0.028698 loss_vfl: 1.009862 loss_bbox: 0.446390 loss_dfl: 0.430691 loss: 1.897786 eta: 8:22:45 batch_cost: 1.0507 data_cost: 0.0068 ips: 53.2995 images/s [03/19 01:12:57] ppdet.engine INFO: Epoch: [237] [480/523] learning_rate: 0.028664 loss_vfl: 0.961514 loss_bbox: 0.420435 loss_dfl: 0.410221 loss: 1.784733 eta: 8:22:27 batch_cost: 0.8874 data_cost: 0.0132 ips: 63.1082 images/s [03/19 01:13:18] ppdet.engine INFO: Epoch: [237] [500/523] learning_rate: 0.028630 loss_vfl: 0.992947 loss_bbox: 0.449115 loss_dfl: 0.427338 loss: 1.879097 eta: 8:22:08 batch_cost: 0.9559 data_cost: 0.0025 ips: 58.5850 images/s [03/19 01:13:32] ppdet.engine INFO: Epoch: [237] [520/523] learning_rate: 0.028596 loss_vfl: 0.993482 loss_bbox: 0.434050 loss_dfl: 0.418750 loss: 1.832189 eta: 8:21:48 batch_cost: 0.5913 data_cost: 0.0008 ips: 94.7117 images/s [03/19 01:13:45] ppdet.engine INFO: Epoch: [238] [ 0/523] learning_rate: 0.028591 loss_vfl: 0.993482 loss_bbox: 0.436167 loss_dfl: 0.418750 loss: 1.832189 eta: 8:21:47 batch_cost: 1.0767 data_cost: 0.2942 ips: 52.0121 images/s [03/19 01:14:07] ppdet.engine INFO: Epoch: [238] [ 20/523] learning_rate: 0.028557 loss_vfl: 0.948055 loss_bbox: 0.438616 loss_dfl: 0.409843 loss: 1.797994 eta: 8:21:29 batch_cost: 1.0415 data_cost: 0.0020 ips: 53.7660 images/s [03/19 01:14:29] ppdet.engine INFO: Epoch: [238] [ 40/523] learning_rate: 0.028523 loss_vfl: 1.017489 loss_bbox: 0.459443 loss_dfl: 0.433756 loss: 1.915839 eta: 8:21:11 batch_cost: 0.9883 data_cost: 0.0029 ips: 56.6658 images/s [03/19 01:14:52] ppdet.engine INFO: Epoch: [238] [ 60/523] learning_rate: 0.028489 loss_vfl: 1.021537 loss_bbox: 0.445864 loss_dfl: 0.426445 loss: 1.899161 eta: 8:20:53 batch_cost: 1.0130 data_cost: 0.0018 ips: 55.2825 images/s [03/19 01:15:17] ppdet.engine INFO: Epoch: [238] [ 80/523] learning_rate: 0.028455 loss_vfl: 1.005016 loss_bbox: 0.438473 loss_dfl: 0.426437 loss: 1.877833 eta: 8:20:36 batch_cost: 1.1724 data_cost: 0.0018 ips: 47.7635 images/s [03/19 01:15:41] ppdet.engine INFO: Epoch: [238] [100/523] learning_rate: 0.028421 loss_vfl: 0.965921 loss_bbox: 0.414186 loss_dfl: 0.403512 loss: 1.785372 eta: 8:20:18 batch_cost: 1.1384 data_cost: 0.0048 ips: 49.1933 images/s [03/19 01:16:05] ppdet.engine INFO: Epoch: [238] [120/523] learning_rate: 0.028387 loss_vfl: 1.015377 loss_bbox: 0.431637 loss_dfl: 0.411878 loss: 1.851656 eta: 8:20:01 batch_cost: 1.0758 data_cost: 0.0037 ips: 52.0519 images/s [03/19 01:16:26] ppdet.engine INFO: Epoch: [238] [140/523] learning_rate: 0.028353 loss_vfl: 1.035253 loss_bbox: 0.448710 loss_dfl: 0.428391 loss: 1.923102 eta: 8:19:42 batch_cost: 0.9764 data_cost: 0.0049 ips: 57.3533 images/s [03/19 01:16:49] ppdet.engine INFO: Epoch: [238] [160/523] learning_rate: 0.028320 loss_vfl: 1.020985 loss_bbox: 0.447592 loss_dfl: 0.417706 loss: 1.881084 eta: 8:19:24 batch_cost: 1.0527 data_cost: 0.0024 ips: 53.1949 images/s [03/19 01:17:12] ppdet.engine INFO: Epoch: [238] [180/523] learning_rate: 0.028286 loss_vfl: 1.016196 loss_bbox: 0.453513 loss_dfl: 0.423666 loss: 1.892584 eta: 8:19:07 batch_cost: 1.1109 data_cost: 0.0027 ips: 50.4075 images/s [03/19 01:17:35] ppdet.engine INFO: Epoch: [238] [200/523] learning_rate: 0.028252 loss_vfl: 1.024096 loss_bbox: 0.455564 loss_dfl: 0.443546 loss: 1.964886 eta: 8:18:49 batch_cost: 1.0798 data_cost: 0.0039 ips: 51.8592 images/s [03/19 01:17:53] ppdet.engine INFO: Epoch: [238] 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0.422341 loss: 1.882607 eta: 8:17:16 batch_cost: 0.8276 data_cost: 0.0029 ips: 67.6646 images/s [03/19 01:19:40] ppdet.engine INFO: Epoch: [238] [320/523] learning_rate: 0.028049 loss_vfl: 0.933589 loss_bbox: 0.418717 loss_dfl: 0.395471 loss: 1.776506 eta: 8:16:58 batch_cost: 1.0628 data_cost: 0.0025 ips: 52.6906 images/s [03/19 01:20:02] ppdet.engine INFO: Epoch: [238] [340/523] learning_rate: 0.028015 loss_vfl: 0.989663 loss_bbox: 0.448483 loss_dfl: 0.415362 loss: 1.858273 eta: 8:16:40 batch_cost: 0.9988 data_cost: 0.0014 ips: 56.0667 images/s [03/19 01:20:26] ppdet.engine INFO: Epoch: [238] [360/523] learning_rate: 0.027982 loss_vfl: 0.975163 loss_bbox: 0.431741 loss_dfl: 0.406293 loss: 1.820448 eta: 8:16:22 batch_cost: 1.0961 data_cost: 0.0045 ips: 51.0881 images/s [03/19 01:20:49] ppdet.engine INFO: Epoch: [238] [380/523] learning_rate: 0.027948 loss_vfl: 0.970328 loss_bbox: 0.444594 loss_dfl: 0.412662 loss: 1.811406 eta: 8:16:04 batch_cost: 1.0793 data_cost: 0.0032 ips: 51.8868 images/s [03/19 01:21:12] ppdet.engine INFO: Epoch: [238] [400/523] learning_rate: 0.027914 loss_vfl: 0.931595 loss_bbox: 0.400301 loss_dfl: 0.391512 loss: 1.744509 eta: 8:15:46 batch_cost: 1.0464 data_cost: 0.0017 ips: 53.5156 images/s [03/19 01:21:33] ppdet.engine INFO: Epoch: [238] [420/523] learning_rate: 0.027881 loss_vfl: 1.000269 loss_bbox: 0.424100 loss_dfl: 0.405846 loss: 1.831316 eta: 8:15:27 batch_cost: 0.9383 data_cost: 0.0054 ips: 59.6814 images/s [03/19 01:21:56] ppdet.engine INFO: Epoch: [238] [440/523] learning_rate: 0.027847 loss_vfl: 0.962975 loss_bbox: 0.429568 loss_dfl: 0.405527 loss: 1.767016 eta: 8:15:09 batch_cost: 1.0379 data_cost: 0.0093 ips: 53.9545 images/s [03/19 01:22:16] ppdet.engine INFO: Epoch: [238] [460/523] learning_rate: 0.027814 loss_vfl: 1.004766 loss_bbox: 0.452890 loss_dfl: 0.418821 loss: 1.875020 eta: 8:14:51 batch_cost: 0.9176 data_cost: 0.0036 ips: 61.0257 images/s [03/19 01:22:34] ppdet.engine INFO: Epoch: [238] [480/523] learning_rate: 0.027780 loss_vfl: 0.980875 loss_bbox: 0.438037 loss_dfl: 0.420105 loss: 1.820136 eta: 8:14:32 batch_cost: 0.8161 data_cost: 0.0040 ips: 68.6227 images/s [03/19 01:22:55] ppdet.engine INFO: Epoch: [238] [500/523] learning_rate: 0.027746 loss_vfl: 1.000970 loss_bbox: 0.439634 loss_dfl: 0.422777 loss: 1.858727 eta: 8:14:13 batch_cost: 0.9541 data_cost: 0.0034 ips: 58.6942 images/s [03/19 01:23:11] ppdet.engine INFO: Epoch: [238] [520/523] learning_rate: 0.027713 loss_vfl: 0.979726 loss_bbox: 0.447975 loss_dfl: 0.417314 loss: 1.836254 eta: 8:13:54 batch_cost: 0.7522 data_cost: 0.0031 ips: 74.4503 images/s [03/19 01:23:23] ppdet.engine INFO: Epoch: [239] [ 0/523] learning_rate: 0.027708 loss_vfl: 0.979726 loss_bbox: 0.447975 loss_dfl: 0.417314 loss: 1.836254 eta: 8:13:53 batch_cost: 1.1462 data_cost: 0.3758 ips: 48.8588 images/s [03/19 01:23:47] ppdet.engine INFO: Epoch: [239] [ 20/523] learning_rate: 0.027674 loss_vfl: 0.968087 loss_bbox: 0.425225 loss_dfl: 0.406894 loss: 1.794730 eta: 8:13:35 batch_cost: 1.1324 data_cost: 0.0008 ips: 49.4504 images/s [03/19 01:24:09] ppdet.engine INFO: Epoch: [239] [ 40/523] learning_rate: 0.027641 loss_vfl: 0.960321 loss_bbox: 0.425691 loss_dfl: 0.407696 loss: 1.818346 eta: 8:13:17 batch_cost: 1.0129 data_cost: 0.0003 ips: 55.2853 images/s [03/19 01:24:33] ppdet.engine INFO: Epoch: [239] [ 60/523] learning_rate: 0.027607 loss_vfl: 0.949865 loss_bbox: 0.439584 loss_dfl: 0.407839 loss: 1.812556 eta: 8:13:00 batch_cost: 1.0966 data_cost: 0.0022 ips: 51.0691 images/s [03/19 01:24:57] ppdet.engine INFO: Epoch: [239] [ 80/523] learning_rate: 0.027574 loss_vfl: 1.001334 loss_bbox: 0.442027 loss_dfl: 0.415294 loss: 1.870361 eta: 8:12:42 batch_cost: 1.1150 data_cost: 0.0036 ips: 50.2240 images/s [03/19 01:25:20] ppdet.engine INFO: Epoch: [239] [100/523] learning_rate: 0.027540 loss_vfl: 0.972779 loss_bbox: 0.439419 loss_dfl: 0.417942 loss: 1.841905 eta: 8:12:24 batch_cost: 1.0558 data_cost: 0.0009 ips: 53.0389 images/s [03/19 01:25:42] ppdet.engine INFO: Epoch: [239] [120/523] learning_rate: 0.027507 loss_vfl: 0.997938 loss_bbox: 0.437318 loss_dfl: 0.414367 loss: 1.851536 eta: 8:12:06 batch_cost: 1.0282 data_cost: 0.0012 ips: 54.4638 images/s [03/19 01:26:06] ppdet.engine INFO: Epoch: [239] [140/523] learning_rate: 0.027473 loss_vfl: 0.982154 loss_bbox: 0.440670 loss_dfl: 0.417808 loss: 1.836949 eta: 8:11:48 batch_cost: 1.1310 data_cost: 0.0036 ips: 49.5116 images/s [03/19 01:26:27] ppdet.engine INFO: Epoch: [239] [160/523] learning_rate: 0.027440 loss_vfl: 1.025169 loss_bbox: 0.459189 loss_dfl: 0.437010 loss: 1.929139 eta: 8:11:30 batch_cost: 0.9182 data_cost: 0.0039 ips: 60.9892 images/s [03/19 01:26:49] ppdet.engine INFO: Epoch: [239] [180/523] learning_rate: 0.027407 loss_vfl: 0.953586 loss_bbox: 0.420969 loss_dfl: 0.387415 loss: 1.750030 eta: 8:11:12 batch_cost: 1.0663 data_cost: 0.0013 ips: 52.5192 images/s [03/19 01:27:06] ppdet.engine INFO: Epoch: [239] [200/523] learning_rate: 0.027373 loss_vfl: 1.019323 loss_bbox: 0.443414 loss_dfl: 0.419771 loss: 1.875951 eta: 8:10:52 batch_cost: 0.7468 data_cost: 0.0089 ips: 74.9905 images/s [03/19 01:27:27] ppdet.engine INFO: Epoch: [239] [220/523] learning_rate: 0.027340 loss_vfl: 0.990369 loss_bbox: 0.443317 loss_dfl: 0.418163 loss: 1.846636 eta: 8:10:34 batch_cost: 0.9036 data_cost: 0.0024 ips: 61.9745 images/s [03/19 01:27:49] ppdet.engine INFO: Epoch: [239] [240/523] learning_rate: 0.027307 loss_vfl: 1.001576 loss_bbox: 0.442194 loss_dfl: 0.411072 loss: 1.852357 eta: 8:10:15 batch_cost: 1.0176 data_cost: 0.0017 ips: 55.0304 images/s [03/19 01:28:12] ppdet.engine INFO: Epoch: [239] [260/523] learning_rate: 0.027273 loss_vfl: 0.985011 loss_bbox: 0.443789 loss_dfl: 0.430051 loss: 1.858441 eta: 8:09:58 batch_cost: 1.0995 data_cost: 0.0011 ips: 50.9340 images/s [03/19 01:28:35] ppdet.engine INFO: Epoch: [239] [280/523] learning_rate: 0.027240 loss_vfl: 0.973707 loss_bbox: 0.447071 loss_dfl: 0.427580 loss: 1.837957 eta: 8:09:40 batch_cost: 1.0886 data_cost: 0.0048 ips: 51.4401 images/s [03/19 01:28:55] ppdet.engine INFO: Epoch: [239] [300/523] learning_rate: 0.027207 loss_vfl: 0.978470 loss_bbox: 0.436025 loss_dfl: 0.428831 loss: 1.824135 eta: 8:09:21 batch_cost: 0.9044 data_cost: 0.0034 ips: 61.9180 images/s [03/19 01:29:19] ppdet.engine INFO: Epoch: [239] [320/523] learning_rate: 0.027173 loss_vfl: 0.967602 loss_bbox: 0.449508 loss_dfl: 0.428053 loss: 1.863880 eta: 8:09:04 batch_cost: 1.1254 data_cost: 0.0027 ips: 49.7616 images/s [03/19 01:29:41] ppdet.engine INFO: Epoch: [239] [340/523] learning_rate: 0.027140 loss_vfl: 0.985475 loss_bbox: 0.414872 loss_dfl: 0.411306 loss: 1.810387 eta: 8:08:46 batch_cost: 1.0131 data_cost: 0.0017 ips: 55.2732 images/s [03/19 01:30:04] ppdet.engine INFO: Epoch: [239] [360/523] learning_rate: 0.027107 loss_vfl: 0.989708 loss_bbox: 0.450559 loss_dfl: 0.420288 loss: 1.852181 eta: 8:08:27 batch_cost: 1.0299 data_cost: 0.0004 ips: 54.3733 images/s [03/19 01:30:25] ppdet.engine INFO: Epoch: [239] [380/523] learning_rate: 0.027074 loss_vfl: 0.996953 loss_bbox: 0.430269 loss_dfl: 0.415463 loss: 1.824188 eta: 8:08:09 batch_cost: 0.9320 data_cost: 0.0010 ips: 60.0869 images/s [03/19 01:30:49] ppdet.engine INFO: Epoch: [239] [400/523] learning_rate: 0.027040 loss_vfl: 0.998924 loss_bbox: 0.423329 loss_dfl: 0.408100 loss: 1.846857 eta: 8:07:51 batch_cost: 1.0967 data_cost: 0.0003 ips: 51.0605 images/s [03/19 01:31:12] ppdet.engine INFO: Epoch: [239] [420/523] learning_rate: 0.027007 loss_vfl: 1.021579 loss_bbox: 0.456077 loss_dfl: 0.438254 loss: 1.921211 eta: 8:07:33 batch_cost: 1.0354 data_cost: 0.0042 ips: 54.0840 images/s [03/19 01:31:29] ppdet.engine INFO: Epoch: [239] [440/523] learning_rate: 0.026974 loss_vfl: 1.020399 loss_bbox: 0.460786 loss_dfl: 0.434466 loss: 1.911339 eta: 8:07:14 batch_cost: 0.7713 data_cost: 0.0030 ips: 72.6091 images/s [03/19 01:31:48] ppdet.engine INFO: Epoch: [239] [460/523] learning_rate: 0.026941 loss_vfl: 1.013438 loss_bbox: 0.453001 loss_dfl: 0.431771 loss: 1.905273 eta: 8:06:55 batch_cost: 0.8582 data_cost: 0.0034 ips: 65.2563 images/s [03/19 01:32:10] ppdet.engine INFO: Epoch: [239] [480/523] learning_rate: 0.026908 loss_vfl: 0.976246 loss_bbox: 0.441252 loss_dfl: 0.415031 loss: 1.828440 eta: 8:06:37 batch_cost: 1.0009 data_cost: 0.0025 ips: 55.9521 images/s [03/19 01:32:34] ppdet.engine INFO: Epoch: [239] [500/523] learning_rate: 0.026875 loss_vfl: 1.038094 loss_bbox: 0.447035 loss_dfl: 0.428507 loss: 1.926691 eta: 8:06:19 batch_cost: 1.1254 data_cost: 0.0021 ips: 49.7586 images/s [03/19 01:32:50] ppdet.engine INFO: Epoch: [239] [520/523] learning_rate: 0.026842 loss_vfl: 1.000998 loss_bbox: 0.448810 loss_dfl: 0.418184 loss: 1.883517 eta: 8:06:00 batch_cost: 0.7714 data_cost: 0.0020 ips: 72.5916 images/s [03/19 01:32:52] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 01:32:53] ppdet.engine INFO: Eval iter: 0 [03/19 01:33:13] ppdet.engine INFO: Eval iter: 100 [03/19 01:33:23] ppdet.engine INFO: Eval iter: 200 [03/19 01:33:32] ppdet.engine INFO: Eval iter: 300 [03/19 01:33:42] ppdet.engine INFO: Eval iter: 400 [03/19 01:33:52] ppdet.engine INFO: Eval iter: 500 [03/19 01:34:01] ppdet.engine INFO: Eval iter: 600 [03/19 01:34:16] 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 01:34:16] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.87s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=83.59s). Accumulating evaluation results... DONE (t=16.31s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.258 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.386 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.273 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.085 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.257 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.432 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.253 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.410 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.436 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.161 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.482 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.690 [03/19 01:36:03] ppdet.engine INFO: Total sample number: 4952, averge FPS: 69.4276290409692 [03/19 01:36:03] ppdet.engine INFO: Best test bbox ap is 0.258. [03/19 01:36:03] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 01:36:04] ppdet.engine INFO: Epoch: [240] [ 0/523] learning_rate: 0.026837 loss_vfl: 1.025122 loss_bbox: 0.457682 loss_dfl: 0.426908 loss: 1.939389 eta: 8:05:56 batch_cost: 0.6410 data_cost: 0.0003 ips: 87.3694 images/s [03/19 01:36:24] ppdet.engine INFO: Epoch: [240] [ 20/523] learning_rate: 0.026804 loss_vfl: 1.022069 loss_bbox: 0.448736 loss_dfl: 0.425821 loss: 1.904800 eta: 8:05:37 batch_cost: 0.8527 data_cost: 0.0038 ips: 65.6751 images/s [03/19 01:36:46] ppdet.engine INFO: Epoch: [240] [ 40/523] learning_rate: 0.026771 loss_vfl: 0.970286 loss_bbox: 0.434157 loss_dfl: 0.418366 loss: 1.810876 eta: 8:05:19 batch_cost: 1.0143 data_cost: 0.0037 ips: 55.2116 images/s [03/19 01:37:10] ppdet.engine INFO: Epoch: [240] [ 60/523] learning_rate: 0.026738 loss_vfl: 1.015101 loss_bbox: 0.455091 loss_dfl: 0.435721 loss: 1.912929 eta: 8:05:01 batch_cost: 1.0744 data_cost: 0.0026 ips: 52.1236 images/s [03/19 01:37:33] ppdet.engine INFO: Epoch: [240] [ 80/523] learning_rate: 0.026705 loss_vfl: 0.937596 loss_bbox: 0.414514 loss_dfl: 0.404824 loss: 1.765779 eta: 8:04:43 batch_cost: 1.0693 data_cost: 0.0013 ips: 52.3725 images/s [03/19 01:37:56] ppdet.engine INFO: Epoch: [240] [100/523] learning_rate: 0.026672 loss_vfl: 1.024956 loss_bbox: 0.468746 loss_dfl: 0.430679 loss: 1.904213 eta: 8:04:26 batch_cost: 1.0593 data_cost: 0.0015 ips: 52.8655 images/s [03/19 01:38:19] ppdet.engine INFO: Epoch: [240] [120/523] learning_rate: 0.026639 loss_vfl: 1.078747 loss_bbox: 0.465250 loss_dfl: 0.443813 loss: 2.021859 eta: 8:04:07 batch_cost: 1.0444 data_cost: 0.0341 ips: 53.6197 images/s [03/19 01:38:41] ppdet.engine INFO: Epoch: [240] [140/523] learning_rate: 0.026606 loss_vfl: 0.999499 loss_bbox: 0.447173 loss_dfl: 0.432751 loss: 1.890960 eta: 8:03:49 batch_cost: 1.0293 data_cost: 0.0055 ips: 54.4084 images/s [03/19 01:39:05] ppdet.engine INFO: Epoch: [240] [160/523] learning_rate: 0.026573 loss_vfl: 0.973073 loss_bbox: 0.428291 loss_dfl: 0.405366 loss: 1.802861 eta: 8:03:32 batch_cost: 1.1061 data_cost: 0.0024 ips: 50.6302 images/s [03/19 01:39:29] ppdet.engine INFO: Epoch: [240] [180/523] learning_rate: 0.026540 loss_vfl: 1.021094 loss_bbox: 0.447320 loss_dfl: 0.436703 loss: 1.918457 eta: 8:03:14 batch_cost: 1.1033 data_cost: 0.0045 ips: 50.7548 images/s [03/19 01:39:48] ppdet.engine INFO: Epoch: [240] [200/523] learning_rate: 0.026507 loss_vfl: 0.988869 loss_bbox: 0.433763 loss_dfl: 0.417241 loss: 1.840459 eta: 8:02:55 batch_cost: 0.8315 data_cost: 0.0036 ips: 67.3477 images/s [03/19 01:40:08] ppdet.engine INFO: Epoch: [240] [220/523] learning_rate: 0.026474 loss_vfl: 1.011180 loss_bbox: 0.445649 loss_dfl: 0.416118 loss: 1.864146 eta: 8:02:36 batch_cost: 0.9067 data_cost: 0.0014 ips: 61.7651 images/s [03/19 01:40:28] ppdet.engine INFO: Epoch: [240] [240/523] learning_rate: 0.026441 loss_vfl: 1.038165 loss_bbox: 0.451190 loss_dfl: 0.434163 loss: 1.958204 eta: 8:02:17 batch_cost: 0.8814 data_cost: 0.0022 ips: 63.5374 images/s [03/19 01:40:50] ppdet.engine INFO: Epoch: [240] [260/523] learning_rate: 0.026408 loss_vfl: 1.010773 loss_bbox: 0.446440 loss_dfl: 0.430718 loss: 1.900941 eta: 8:02:00 batch_cost: 1.0720 data_cost: 0.0021 ips: 52.2386 images/s [03/19 01:41:12] ppdet.engine INFO: Epoch: [240] [280/523] learning_rate: 0.026376 loss_vfl: 0.999250 loss_bbox: 0.458360 loss_dfl: 0.423038 loss: 1.881884 eta: 8:01:41 batch_cost: 0.9881 data_cost: 0.0032 ips: 56.6760 images/s [03/19 01:41:36] ppdet.engine INFO: Epoch: [240] [300/523] learning_rate: 0.026343 loss_vfl: 1.018057 loss_bbox: 0.461865 loss_dfl: 0.434344 loss: 1.913297 eta: 8:01:24 batch_cost: 1.1258 data_cost: 0.0028 ips: 49.7431 images/s [03/19 01:41:57] ppdet.engine INFO: Epoch: [240] [320/523] learning_rate: 0.026310 loss_vfl: 1.044362 loss_bbox: 0.457609 loss_dfl: 0.431352 loss: 1.936477 eta: 8:01:05 batch_cost: 0.9916 data_cost: 0.0028 ips: 56.4738 images/s [03/19 01:42:20] ppdet.engine INFO: Epoch: [240] [340/523] learning_rate: 0.026277 loss_vfl: 0.940778 loss_bbox: 0.409196 loss_dfl: 0.388374 loss: 1.726528 eta: 8:00:47 batch_cost: 1.0503 data_cost: 0.0011 ips: 53.3193 images/s [03/19 01:42:40] ppdet.engine INFO: Epoch: [240] [360/523] learning_rate: 0.026244 loss_vfl: 1.005778 loss_bbox: 0.442723 loss_dfl: 0.418165 loss: 1.869579 eta: 8:00:29 batch_cost: 0.9024 data_cost: 0.0044 ips: 62.0553 images/s [03/19 01:43:03] ppdet.engine INFO: Epoch: [240] [380/523] learning_rate: 0.026212 loss_vfl: 0.986130 loss_bbox: 0.424940 loss_dfl: 0.416841 loss: 1.809711 eta: 8:00:10 batch_cost: 1.0155 data_cost: 0.0037 ips: 55.1440 images/s [03/19 01:43:27] ppdet.engine INFO: Epoch: [240] [400/523] learning_rate: 0.026179 loss_vfl: 0.931389 loss_bbox: 0.400503 loss_dfl: 0.379548 loss: 1.705395 eta: 7:59:53 batch_cost: 1.0931 data_cost: 0.0026 ips: 51.2301 images/s [03/19 01:43:48] ppdet.engine INFO: Epoch: [240] [420/523] learning_rate: 0.026146 loss_vfl: 1.031423 loss_bbox: 0.440508 loss_dfl: 0.433720 loss: 1.927239 eta: 7:59:34 batch_cost: 0.8770 data_cost: 0.0028 ips: 63.8539 images/s [03/19 01:44:10] ppdet.engine INFO: Epoch: [240] [440/523] learning_rate: 0.026114 loss_vfl: 1.036563 loss_bbox: 0.458483 loss_dfl: 0.430810 loss: 1.904925 eta: 7:59:16 batch_cost: 1.0055 data_cost: 0.0026 ips: 55.6941 images/s [03/19 01:44:32] ppdet.engine INFO: Epoch: [240] [460/523] learning_rate: 0.026081 loss_vfl: 0.991798 loss_bbox: 0.414315 loss_dfl: 0.404794 loss: 1.781857 eta: 7:58:58 batch_cost: 1.0292 data_cost: 0.0016 ips: 54.4110 images/s [03/19 01:44:51] ppdet.engine INFO: Epoch: [240] [480/523] learning_rate: 0.026048 loss_vfl: 1.036064 loss_bbox: 0.460012 loss_dfl: 0.430385 loss: 1.950757 eta: 7:58:39 batch_cost: 0.8616 data_cost: 0.0005 ips: 64.9923 images/s [03/19 01:45:10] ppdet.engine INFO: Epoch: [240] [500/523] learning_rate: 0.026016 loss_vfl: 1.047552 loss_bbox: 0.438036 loss_dfl: 0.439635 loss: 1.922850 eta: 7:58:19 batch_cost: 0.8160 data_cost: 0.0019 ips: 68.6302 images/s [03/19 01:45:26] ppdet.engine INFO: Epoch: [240] [520/523] learning_rate: 0.025983 loss_vfl: 0.991947 loss_bbox: 0.434149 loss_dfl: 0.399236 loss: 1.819715 eta: 7:58:00 batch_cost: 0.7508 data_cost: 0.0058 ips: 74.5912 images/s [03/19 01:45:40] ppdet.engine INFO: Epoch: [241] [ 0/523] learning_rate: 0.025978 loss_vfl: 0.991947 loss_bbox: 0.434149 loss_dfl: 0.403444 loss: 1.821932 eta: 7:57:59 batch_cost: 1.2205 data_cost: 0.3242 ips: 45.8824 images/s [03/19 01:46:01] ppdet.engine INFO: Epoch: [241] [ 20/523] learning_rate: 0.025946 loss_vfl: 0.968666 loss_bbox: 0.428240 loss_dfl: 0.413885 loss: 1.836409 eta: 7:57:41 batch_cost: 0.9633 data_cost: 0.0010 ips: 58.1312 images/s [03/19 01:46:24] ppdet.engine INFO: Epoch: [241] [ 40/523] learning_rate: 0.025913 loss_vfl: 1.009435 loss_bbox: 0.455197 loss_dfl: 0.429917 loss: 1.891003 eta: 7:57:23 batch_cost: 1.0575 data_cost: 0.0011 ips: 52.9566 images/s [03/19 01:46:46] ppdet.engine INFO: Epoch: [241] [ 60/523] learning_rate: 0.025880 loss_vfl: 0.963229 loss_bbox: 0.426211 loss_dfl: 0.413791 loss: 1.794213 eta: 7:57:05 batch_cost: 1.0046 data_cost: 0.0084 ips: 55.7448 images/s [03/19 01:47:10] ppdet.engine INFO: Epoch: [241] [ 80/523] learning_rate: 0.025848 loss_vfl: 1.013131 loss_bbox: 0.447141 loss_dfl: 0.431892 loss: 1.879358 eta: 7:56:47 batch_cost: 1.0825 data_cost: 0.0003 ips: 51.7298 images/s [03/19 01:47:33] ppdet.engine INFO: Epoch: [241] [100/523] learning_rate: 0.025815 loss_vfl: 1.012483 loss_bbox: 0.455873 loss_dfl: 0.431819 loss: 1.903774 eta: 7:56:29 batch_cost: 1.0655 data_cost: 0.0029 ips: 52.5594 images/s [03/19 01:47:53] ppdet.engine INFO: Epoch: [241] [120/523] learning_rate: 0.025783 loss_vfl: 1.045908 loss_bbox: 0.472165 loss_dfl: 0.444760 loss: 1.966959 eta: 7:56:10 batch_cost: 0.8921 data_cost: 0.0033 ips: 62.7717 images/s [03/19 01:48:16] ppdet.engine INFO: Epoch: [241] [140/523] learning_rate: 0.025750 loss_vfl: 1.014519 loss_bbox: 0.461219 loss_dfl: 0.439509 loss: 1.910776 eta: 7:55:52 batch_cost: 1.0483 data_cost: 0.0020 ips: 53.4183 images/s [03/19 01:48:39] ppdet.engine INFO: Epoch: [241] [160/523] learning_rate: 0.025718 loss_vfl: 0.961486 loss_bbox: 0.443037 loss_dfl: 0.406194 loss: 1.783735 eta: 7:55:34 batch_cost: 0.9711 data_cost: 0.0018 ips: 57.6651 images/s [03/19 01:49:01] ppdet.engine INFO: Epoch: [241] [180/523] learning_rate: 0.025686 loss_vfl: 0.955157 loss_bbox: 0.440967 loss_dfl: 0.414166 loss: 1.829081 eta: 7:55:16 batch_cost: 1.0204 data_cost: 0.0059 ips: 54.8800 images/s [03/19 01:49:19] ppdet.engine INFO: Epoch: [241] [200/523] learning_rate: 0.025653 loss_vfl: 1.001169 loss_bbox: 0.447900 loss_dfl: 0.433749 loss: 1.898935 eta: 7:54:57 batch_cost: 0.8514 data_cost: 0.0013 ips: 65.7765 images/s [03/19 01:49:39] ppdet.engine INFO: Epoch: [241] [220/523] learning_rate: 0.025621 loss_vfl: 1.002856 loss_bbox: 0.439550 loss_dfl: 0.430887 loss: 1.890009 eta: 7:54:38 batch_cost: 0.9288 data_cost: 0.0032 ips: 60.2915 images/s [03/19 01:50:01] ppdet.engine INFO: Epoch: [241] [240/523] learning_rate: 0.025588 loss_vfl: 0.975039 loss_bbox: 0.443056 loss_dfl: 0.422202 loss: 1.833802 eta: 7:54:20 batch_cost: 1.0008 data_cost: 0.0031 ips: 55.9547 images/s [03/19 01:50:25] ppdet.engine INFO: Epoch: [241] [260/523] learning_rate: 0.025556 loss_vfl: 0.976240 loss_bbox: 0.436834 loss_dfl: 0.408119 loss: 1.821861 eta: 7:54:02 batch_cost: 1.0857 data_cost: 0.0012 ips: 51.5810 images/s [03/19 01:50:47] ppdet.engine INFO: Epoch: [241] [280/523] learning_rate: 0.025524 loss_vfl: 1.028954 loss_bbox: 0.462498 loss_dfl: 0.426143 loss: 1.911174 eta: 7:53:44 batch_cost: 0.9965 data_cost: 0.0049 ips: 56.1995 images/s [03/19 01:51:10] ppdet.engine INFO: Epoch: [241] [300/523] learning_rate: 0.025491 loss_vfl: 1.046421 loss_bbox: 0.465022 loss_dfl: 0.430053 loss: 1.951434 eta: 7:53:26 batch_cost: 1.0809 data_cost: 0.0018 ips: 51.8077 images/s [03/19 01:51:31] ppdet.engine INFO: Epoch: [241] [320/523] learning_rate: 0.025459 loss_vfl: 0.973471 loss_bbox: 0.438263 loss_dfl: 0.401194 loss: 1.796957 eta: 7:53:07 batch_cost: 0.9408 data_cost: 0.0019 ips: 59.5260 images/s [03/19 01:51:53] ppdet.engine INFO: Epoch: [241] [340/523] learning_rate: 0.025427 loss_vfl: 1.019596 loss_bbox: 0.456499 loss_dfl: 0.421884 loss: 1.894415 eta: 7:52:49 batch_cost: 1.0382 data_cost: 0.0046 ips: 53.9419 images/s [03/19 01:52:14] ppdet.engine INFO: Epoch: [241] [360/523] learning_rate: 0.025394 loss_vfl: 1.002452 loss_bbox: 0.433383 loss_dfl: 0.403077 loss: 1.852800 eta: 7:52:31 batch_cost: 0.9627 data_cost: 0.0042 ips: 58.1711 images/s [03/19 01:52:39] ppdet.engine INFO: Epoch: [241] [380/523] learning_rate: 0.025362 loss_vfl: 1.059184 loss_bbox: 0.451754 loss_dfl: 0.438351 loss: 1.961951 eta: 7:52:13 batch_cost: 1.1436 data_cost: 0.0012 ips: 48.9696 images/s [03/19 01:52:59] ppdet.engine INFO: Epoch: [241] [400/523] learning_rate: 0.025330 loss_vfl: 0.959663 loss_bbox: 0.413115 loss_dfl: 0.394577 loss: 1.772683 eta: 7:51:55 batch_cost: 0.9098 data_cost: 0.0018 ips: 61.5541 images/s [03/19 01:53:21] ppdet.engine INFO: Epoch: [241] [420/523] learning_rate: 0.025298 loss_vfl: 0.967860 loss_bbox: 0.439234 loss_dfl: 0.421191 loss: 1.824506 eta: 7:51:36 batch_cost: 0.9797 data_cost: 0.0020 ips: 57.1612 images/s [03/19 01:53:42] ppdet.engine INFO: Epoch: [241] [440/523] learning_rate: 0.025266 loss_vfl: 1.041446 loss_bbox: 0.457200 loss_dfl: 0.424506 loss: 1.951898 eta: 7:51:18 batch_cost: 0.9701 data_cost: 0.0019 ips: 57.7232 images/s [03/19 01:54:01] ppdet.engine INFO: Epoch: [241] [460/523] learning_rate: 0.025233 loss_vfl: 1.001969 loss_bbox: 0.434838 loss_dfl: 0.415730 loss: 1.847169 eta: 7:50:59 batch_cost: 0.8518 data_cost: 0.0018 ips: 65.7397 images/s [03/19 01:54:20] ppdet.engine INFO: Epoch: [241] [480/523] learning_rate: 0.025201 loss_vfl: 1.063874 loss_bbox: 0.465341 loss_dfl: 0.443143 loss: 2.005743 eta: 7:50:40 batch_cost: 0.8476 data_cost: 0.0026 ips: 66.0654 images/s [03/19 01:54:41] ppdet.engine INFO: Epoch: [241] [500/523] learning_rate: 0.025169 loss_vfl: 0.984635 loss_bbox: 0.435793 loss_dfl: 0.425064 loss: 1.855211 eta: 7:50:22 batch_cost: 0.9727 data_cost: 0.0038 ips: 57.5690 images/s [03/19 01:55:00] ppdet.engine INFO: Epoch: [241] [520/523] learning_rate: 0.025137 loss_vfl: 0.957149 loss_bbox: 0.413942 loss_dfl: 0.399960 loss: 1.789500 eta: 7:50:02 batch_cost: 0.8175 data_cost: 0.0025 ips: 68.5039 images/s [03/19 01:55:12] ppdet.engine INFO: Epoch: [242] [ 0/523] learning_rate: 0.025132 loss_vfl: 0.972927 loss_bbox: 0.417061 loss_dfl: 0.406937 loss: 1.796115 eta: 7:50:02 batch_cost: 1.2262 data_cost: 0.4416 ips: 45.6712 images/s [03/19 01:55:34] ppdet.engine INFO: Epoch: [242] [ 20/523] learning_rate: 0.025100 loss_vfl: 0.938803 loss_bbox: 0.412838 loss_dfl: 0.396162 loss: 1.752055 eta: 7:49:43 batch_cost: 0.9871 data_cost: 0.0044 ips: 56.7318 images/s [03/19 01:55:56] ppdet.engine INFO: Epoch: [242] [ 40/523] learning_rate: 0.025068 loss_vfl: 1.015641 loss_bbox: 0.445956 loss_dfl: 0.433147 loss: 1.929719 eta: 7:49:24 batch_cost: 0.8887 data_cost: 0.0034 ips: 63.0140 images/s [03/19 01:56:14] ppdet.engine INFO: Epoch: [242] [ 60/523] learning_rate: 0.025036 loss_vfl: 0.978071 loss_bbox: 0.454105 loss_dfl: 0.414548 loss: 1.851736 eta: 7:49:05 batch_cost: 0.8243 data_cost: 0.0067 ips: 67.9400 images/s [03/19 01:56:36] ppdet.engine INFO: Epoch: [242] [ 80/523] learning_rate: 0.025004 loss_vfl: 0.988632 loss_bbox: 0.436916 loss_dfl: 0.424754 loss: 1.863489 eta: 7:48:47 batch_cost: 0.9634 data_cost: 0.0045 ips: 58.1252 images/s [03/19 01:56:58] ppdet.engine INFO: Epoch: [242] [100/523] learning_rate: 0.024972 loss_vfl: 0.974421 loss_bbox: 0.436212 loss_dfl: 0.416742 loss: 1.837219 eta: 7:48:28 batch_cost: 0.9606 data_cost: 0.0065 ips: 58.2966 images/s [03/19 01:57:19] ppdet.engine INFO: Epoch: [242] [120/523] learning_rate: 0.024940 loss_vfl: 1.018953 loss_bbox: 0.470341 loss_dfl: 0.439888 loss: 1.943283 eta: 7:48:09 batch_cost: 0.8479 data_cost: 0.0035 ips: 66.0453 images/s [03/19 01:57:39] ppdet.engine INFO: Epoch: [242] [140/523] learning_rate: 0.024908 loss_vfl: 1.034330 loss_bbox: 0.456161 loss_dfl: 0.433487 loss: 1.925727 eta: 7:47:50 batch_cost: 0.8383 data_cost: 0.0024 ips: 66.8047 images/s [03/19 01:58:01] ppdet.engine INFO: Epoch: [242] [160/523] learning_rate: 0.024876 loss_vfl: 1.017321 loss_bbox: 0.459028 loss_dfl: 0.421845 loss: 1.888487 eta: 7:47:32 batch_cost: 0.9279 data_cost: 0.0051 ips: 60.3487 images/s [03/19 01:58:21] ppdet.engine INFO: Epoch: [242] [180/523] learning_rate: 0.024844 loss_vfl: 0.964978 loss_bbox: 0.441825 loss_dfl: 0.414485 loss: 1.815815 eta: 7:47:13 batch_cost: 0.8524 data_cost: 0.0733 ips: 65.6946 images/s [03/19 01:58:40] ppdet.engine INFO: Epoch: [242] [200/523] learning_rate: 0.024812 loss_vfl: 1.045681 loss_bbox: 0.450512 loss_dfl: 0.431965 loss: 1.934074 eta: 7:46:54 batch_cost: 0.8277 data_cost: 0.1037 ips: 67.6564 images/s [03/19 01:58:58] ppdet.engine INFO: Epoch: [242] [220/523] learning_rate: 0.024780 loss_vfl: 1.007075 loss_bbox: 0.433198 loss_dfl: 0.408313 loss: 1.841495 eta: 7:46:34 batch_cost: 0.7796 data_cost: 0.0024 ips: 71.8305 images/s [03/19 01:59:17] ppdet.engine INFO: Epoch: [242] [240/523] learning_rate: 0.024748 loss_vfl: 0.947713 loss_bbox: 0.427444 loss_dfl: 0.406427 loss: 1.790523 eta: 7:46:15 batch_cost: 0.7896 data_cost: 0.0029 ips: 70.9210 images/s [03/19 01:59:38] ppdet.engine INFO: Epoch: [242] [260/523] learning_rate: 0.024716 loss_vfl: 0.949382 loss_bbox: 0.417045 loss_dfl: 0.413654 loss: 1.779966 eta: 7:45:57 batch_cost: 0.9032 data_cost: 0.0038 ips: 62.0036 images/s [03/19 02:00:00] ppdet.engine INFO: Epoch: [242] [280/523] learning_rate: 0.024684 loss_vfl: 1.003268 loss_bbox: 0.442681 loss_dfl: 0.426850 loss: 1.867926 eta: 7:45:38 batch_cost: 0.9707 data_cost: 0.0073 ips: 57.6910 images/s [03/19 02:00:20] ppdet.engine INFO: Epoch: [242] [300/523] learning_rate: 0.024653 loss_vfl: 0.994202 loss_bbox: 0.459777 loss_dfl: 0.421667 loss: 1.870579 eta: 7:45:19 batch_cost: 0.9082 data_cost: 0.0041 ips: 61.6633 images/s [03/19 02:00:40] ppdet.engine INFO: Epoch: [242] [320/523] learning_rate: 0.024621 loss_vfl: 1.010543 loss_bbox: 0.424960 loss_dfl: 0.416206 loss: 1.826462 eta: 7:45:01 batch_cost: 0.8671 data_cost: 0.0020 ips: 64.5807 images/s [03/19 02:01:02] ppdet.engine INFO: Epoch: [242] [340/523] learning_rate: 0.024589 loss_vfl: 0.983186 loss_bbox: 0.446651 loss_dfl: 0.426779 loss: 1.879157 eta: 7:44:42 batch_cost: 0.9798 data_cost: 0.0035 ips: 57.1567 images/s [03/19 02:01:22] ppdet.engine INFO: Epoch: [242] [360/523] learning_rate: 0.024557 loss_vfl: 1.020467 loss_bbox: 0.425536 loss_dfl: 0.427149 loss: 1.837957 eta: 7:44:23 batch_cost: 0.8264 data_cost: 0.0036 ips: 67.7617 images/s [03/19 02:01:44] ppdet.engine INFO: Epoch: [242] [380/523] learning_rate: 0.024525 loss_vfl: 0.982845 loss_bbox: 0.454945 loss_dfl: 0.417601 loss: 1.832489 eta: 7:44:04 batch_cost: 0.9210 data_cost: 0.0913 ips: 60.8004 images/s [03/19 02:02:06] ppdet.engine INFO: Epoch: [242] [400/523] learning_rate: 0.024494 loss_vfl: 1.015980 loss_bbox: 0.460508 loss_dfl: 0.437268 loss: 1.912541 eta: 7:43:46 batch_cost: 1.0032 data_cost: 0.0068 ips: 55.8234 images/s [03/19 02:02:25] ppdet.engine INFO: Epoch: [242] [420/523] learning_rate: 0.024462 loss_vfl: 1.051326 loss_bbox: 0.459583 loss_dfl: 0.438042 loss: 1.948637 eta: 7:43:27 batch_cost: 0.7804 data_cost: 0.0769 ips: 71.7537 images/s [03/19 02:02:47] ppdet.engine INFO: Epoch: [242] [440/523] learning_rate: 0.024430 loss_vfl: 1.017414 loss_bbox: 0.447258 loss_dfl: 0.424584 loss: 1.881794 eta: 7:43:08 batch_cost: 0.8849 data_cost: 0.0020 ips: 63.2847 images/s [03/19 02:03:07] ppdet.engine INFO: Epoch: [242] [460/523] learning_rate: 0.024398 loss_vfl: 0.949239 loss_bbox: 0.428809 loss_dfl: 0.412981 loss: 1.792380 eta: 7:42:49 batch_cost: 0.8585 data_cost: 0.0789 ips: 65.2321 images/s [03/19 02:03:29] ppdet.engine INFO: Epoch: [242] [480/523] learning_rate: 0.024367 loss_vfl: 0.974012 loss_bbox: 0.407243 loss_dfl: 0.388456 loss: 1.777844 eta: 7:42:31 batch_cost: 0.9651 data_cost: 0.1483 ips: 58.0225 images/s [03/19 02:03:45] ppdet.engine INFO: Epoch: [242] [500/523] learning_rate: 0.024335 loss_vfl: 1.012109 loss_bbox: 0.456623 loss_dfl: 0.434981 loss: 1.925049 eta: 7:42:11 batch_cost: 0.6876 data_cost: 0.0064 ips: 81.4447 images/s [03/19 02:04:00] ppdet.engine INFO: Epoch: [242] [520/523] learning_rate: 0.024304 loss_vfl: 0.943103 loss_bbox: 0.416832 loss_dfl: 0.400192 loss: 1.747187 eta: 7:41:51 batch_cost: 0.6208 data_cost: 0.0013 ips: 90.2055 images/s [03/19 02:04:12] ppdet.engine INFO: Epoch: [243] [ 0/523] learning_rate: 0.024299 loss_vfl: 0.948558 loss_bbox: 0.416832 loss_dfl: 0.400192 loss: 1.747187 eta: 7:41:50 batch_cost: 1.0713 data_cost: 0.3945 ips: 52.2734 images/s [03/19 02:04:34] ppdet.engine INFO: Epoch: [243] [ 20/523] learning_rate: 0.024267 loss_vfl: 0.987806 loss_bbox: 0.437448 loss_dfl: 0.409722 loss: 1.820755 eta: 7:41:32 batch_cost: 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Epoch: [243] [120/523] learning_rate: 0.024109 loss_vfl: 1.014227 loss_bbox: 0.444804 loss_dfl: 0.427261 loss: 1.882405 eta: 7:39:58 batch_cost: 1.0184 data_cost: 0.2286 ips: 54.9901 images/s [03/19 02:06:43] ppdet.engine INFO: Epoch: [243] [140/523] learning_rate: 0.024078 loss_vfl: 1.020118 loss_bbox: 0.455006 loss_dfl: 0.425966 loss: 1.899668 eta: 7:39:40 batch_cost: 0.9708 data_cost: 0.1825 ips: 57.6857 images/s [03/19 02:07:04] ppdet.engine INFO: Epoch: [243] [160/523] learning_rate: 0.024046 loss_vfl: 1.097111 loss_bbox: 0.463767 loss_dfl: 0.438786 loss: 2.018761 eta: 7:39:21 batch_cost: 0.8375 data_cost: 0.0385 ips: 66.8693 images/s [03/19 02:07:26] ppdet.engine INFO: Epoch: [243] [180/523] learning_rate: 0.024015 loss_vfl: 0.961430 loss_bbox: 0.443112 loss_dfl: 0.414193 loss: 1.818120 eta: 7:39:02 batch_cost: 0.9667 data_cost: 0.1348 ips: 57.9263 images/s [03/19 02:07:48] ppdet.engine INFO: Epoch: [243] [200/523] learning_rate: 0.023983 loss_vfl: 1.006876 loss_bbox: 0.436107 loss_dfl: 0.411754 loss: 1.841069 eta: 7:38:44 batch_cost: 0.9580 data_cost: 0.0913 ips: 58.4554 images/s [03/19 02:08:09] ppdet.engine INFO: Epoch: [243] [220/523] learning_rate: 0.023952 loss_vfl: 0.962622 loss_bbox: 0.424208 loss_dfl: 0.406682 loss: 1.800752 eta: 7:38:25 batch_cost: 0.8778 data_cost: 0.1476 ips: 63.7972 images/s [03/19 02:08:27] ppdet.engine INFO: Epoch: [243] [240/523] learning_rate: 0.023921 loss_vfl: 1.008801 loss_bbox: 0.452703 loss_dfl: 0.440562 loss: 1.912308 eta: 7:38:06 batch_cost: 0.7883 data_cost: 0.0039 ips: 71.0382 images/s [03/19 02:08:44] ppdet.engine INFO: Epoch: [243] [260/523] learning_rate: 0.023889 loss_vfl: 1.026059 loss_bbox: 0.446151 loss_dfl: 0.432941 loss: 1.912562 eta: 7:37:46 batch_cost: 0.7444 data_cost: 0.0638 ips: 75.2263 images/s [03/19 02:09:03] ppdet.engine INFO: Epoch: [243] [280/523] learning_rate: 0.023858 loss_vfl: 0.982167 loss_bbox: 0.429550 loss_dfl: 0.407221 loss: 1.811092 eta: 7:37:27 batch_cost: 0.8137 data_cost: 0.1338 ips: 68.8239 images/s [03/19 02:09:26] ppdet.engine INFO: Epoch: [243] [300/523] learning_rate: 0.023826 loss_vfl: 0.992695 loss_bbox: 0.443378 loss_dfl: 0.423582 loss: 1.870853 eta: 7:37:09 batch_cost: 0.9361 data_cost: 0.1770 ips: 59.8235 images/s [03/19 02:09:48] ppdet.engine INFO: Epoch: [243] [320/523] learning_rate: 0.023795 loss_vfl: 0.983680 loss_bbox: 0.419542 loss_dfl: 0.402547 loss: 1.789837 eta: 7:36:50 batch_cost: 0.9685 data_cost: 0.1221 ips: 57.8243 images/s [03/19 02:10:10] ppdet.engine INFO: Epoch: [243] [340/523] learning_rate: 0.023764 loss_vfl: 0.994705 loss_bbox: 0.462520 loss_dfl: 0.432092 loss: 1.892421 eta: 7:36:32 batch_cost: 0.9017 data_cost: 0.2155 ips: 62.1070 images/s [03/19 02:10:30] ppdet.engine INFO: Epoch: [243] [360/523] learning_rate: 0.023733 loss_vfl: 1.003476 loss_bbox: 0.423607 loss_dfl: 0.415269 loss: 1.862411 eta: 7:36:13 batch_cost: 0.8344 data_cost: 0.0020 ips: 67.1176 images/s [03/19 02:10:52] ppdet.engine INFO: Epoch: [243] [380/523] learning_rate: 0.023701 loss_vfl: 0.985380 loss_bbox: 0.408061 loss_dfl: 0.399123 loss: 1.817044 eta: 7:35:54 batch_cost: 0.9200 data_cost: 0.1453 ips: 60.8663 images/s [03/19 02:11:15] ppdet.engine INFO: Epoch: [243] [400/523] learning_rate: 0.023670 loss_vfl: 0.998633 loss_bbox: 0.411660 loss_dfl: 0.404230 loss: 1.815306 eta: 7:35:36 batch_cost: 0.9978 data_cost: 0.2240 ips: 56.1240 images/s [03/19 02:11:34] ppdet.engine INFO: Epoch: [243] [420/523] learning_rate: 0.023639 loss_vfl: 0.984620 loss_bbox: 0.449910 loss_dfl: 0.419733 loss: 1.839807 eta: 7:35:17 batch_cost: 0.8598 data_cost: 0.0794 ips: 65.1310 images/s [03/19 02:11:55] ppdet.engine INFO: Epoch: [243] [440/523] learning_rate: 0.023608 loss_vfl: 0.965130 loss_bbox: 0.424229 loss_dfl: 0.414066 loss: 1.818976 eta: 7:34:58 batch_cost: 0.9373 data_cost: 0.1842 ips: 59.7446 images/s [03/19 02:12:16] ppdet.engine INFO: Epoch: [243] [460/523] learning_rate: 0.023576 loss_vfl: 1.022669 loss_bbox: 0.465779 loss_dfl: 0.442610 loss: 1.937891 eta: 7:34:40 batch_cost: 0.9228 data_cost: 0.1103 ips: 60.6851 images/s [03/19 02:12:37] ppdet.engine INFO: Epoch: [243] [480/523] learning_rate: 0.023545 loss_vfl: 1.045611 loss_bbox: 0.463694 loss_dfl: 0.441704 loss: 1.950002 eta: 7:34:21 batch_cost: 0.9434 data_cost: 0.1121 ips: 59.3574 images/s [03/19 02:12:57] ppdet.engine INFO: Epoch: [243] [500/523] learning_rate: 0.023514 loss_vfl: 0.992260 loss_bbox: 0.457391 loss_dfl: 0.431521 loss: 1.898129 eta: 7:34:02 batch_cost: 0.8921 data_cost: 0.1534 ips: 62.7739 images/s [03/19 02:13:15] ppdet.engine INFO: Epoch: [243] [520/523] learning_rate: 0.023483 loss_vfl: 0.940998 loss_bbox: 0.429276 loss_dfl: 0.416238 loss: 1.808465 eta: 7:33:43 batch_cost: 0.7216 data_cost: 0.0218 ips: 77.6032 images/s [03/19 02:13:25] ppdet.engine INFO: Epoch: [244] [ 0/523] learning_rate: 0.023478 loss_vfl: 0.934038 loss_bbox: 0.424589 loss_dfl: 0.413045 loss: 1.777042 eta: 7:33:42 batch_cost: 1.0561 data_cost: 0.2906 ips: 53.0264 images/s [03/19 02:13:45] ppdet.engine INFO: Epoch: [244] [ 20/523] learning_rate: 0.023447 loss_vfl: 1.006439 loss_bbox: 0.430867 loss_dfl: 0.412156 loss: 1.861765 eta: 7:33:23 batch_cost: 0.8730 data_cost: 0.0013 ips: 64.1457 images/s [03/19 02:14:09] ppdet.engine INFO: Epoch: [244] [ 40/523] learning_rate: 0.023416 loss_vfl: 0.976795 loss_bbox: 0.415593 loss_dfl: 0.403067 loss: 1.779920 eta: 7:33:05 batch_cost: 1.1101 data_cost: 0.0019 ips: 50.4454 images/s [03/19 02:14:28] ppdet.engine INFO: Epoch: [244] [ 60/523] learning_rate: 0.023385 loss_vfl: 1.034411 loss_bbox: 0.451747 loss_dfl: 0.446775 loss: 1.955174 eta: 7:32:46 batch_cost: 0.8934 data_cost: 0.0065 ips: 62.6844 images/s [03/19 02:14:52] ppdet.engine INFO: Epoch: [244] [ 80/523] learning_rate: 0.023354 loss_vfl: 0.964838 loss_bbox: 0.427884 loss_dfl: 0.405297 loss: 1.798125 eta: 7:32:28 batch_cost: 1.0910 data_cost: 0.0020 ips: 51.3308 images/s [03/19 02:15:16] ppdet.engine INFO: Epoch: [244] [100/523] learning_rate: 0.023323 loss_vfl: 0.973927 loss_bbox: 0.418301 loss_dfl: 0.414135 loss: 1.799090 eta: 7:32:10 batch_cost: 1.0766 data_cost: 0.0034 ips: 52.0149 images/s [03/19 02:15:38] ppdet.engine INFO: Epoch: [244] [120/523] learning_rate: 0.023292 loss_vfl: 0.935033 loss_bbox: 0.426009 loss_dfl: 0.398173 loss: 1.757940 eta: 7:31:52 batch_cost: 1.0556 data_cost: 0.0027 ips: 53.0523 images/s [03/19 02:16:01] ppdet.engine INFO: Epoch: [244] [140/523] learning_rate: 0.023261 loss_vfl: 1.012778 loss_bbox: 0.451863 loss_dfl: 0.427479 loss: 1.905922 eta: 7:31:34 batch_cost: 1.0105 data_cost: 0.0037 ips: 55.4169 images/s [03/19 02:16:22] ppdet.engine INFO: Epoch: [244] [160/523] learning_rate: 0.023230 loss_vfl: 0.920821 loss_bbox: 0.389329 loss_dfl: 0.395051 loss: 1.704982 eta: 7:31:16 batch_cost: 0.9553 data_cost: 0.0011 ips: 58.6213 images/s [03/19 02:16:46] ppdet.engine INFO: Epoch: [244] [180/523] learning_rate: 0.023199 loss_vfl: 1.050792 loss_bbox: 0.477412 loss_dfl: 0.451361 loss: 1.959476 eta: 7:30:58 batch_cost: 1.0804 data_cost: 0.0038 ips: 51.8307 images/s [03/19 02:17:09] ppdet.engine INFO: Epoch: [244] [200/523] learning_rate: 0.023168 loss_vfl: 1.000444 loss_bbox: 0.444291 loss_dfl: 0.423148 loss: 1.898647 eta: 7:30:40 batch_cost: 1.0697 data_cost: 0.0020 ips: 52.3524 images/s [03/19 02:17:29] ppdet.engine INFO: Epoch: [244] [220/523] learning_rate: 0.023137 loss_vfl: 1.000221 loss_bbox: 0.449708 loss_dfl: 0.422508 loss: 1.848962 eta: 7:30:21 batch_cost: 0.9212 data_cost: 0.0040 ips: 60.7920 images/s [03/19 02:17:50] ppdet.engine INFO: Epoch: [244] [240/523] learning_rate: 0.023106 loss_vfl: 0.962313 loss_bbox: 0.428853 loss_dfl: 0.408843 loss: 1.783236 eta: 7:30:03 batch_cost: 0.9619 data_cost: 0.0041 ips: 58.2154 images/s [03/19 02:18:09] ppdet.engine INFO: Epoch: [244] [260/523] learning_rate: 0.023075 loss_vfl: 0.999504 loss_bbox: 0.451217 loss_dfl: 0.423757 loss: 1.889158 eta: 7:29:44 batch_cost: 0.8622 data_cost: 0.0002 ips: 64.9514 images/s [03/19 02:18:27] ppdet.engine INFO: Epoch: [244] [280/523] learning_rate: 0.023044 loss_vfl: 0.968127 loss_bbox: 0.423518 loss_dfl: 0.408480 loss: 1.751526 eta: 7:29:25 batch_cost: 0.7878 data_cost: 0.0047 ips: 71.0843 images/s [03/19 02:18:52] ppdet.engine INFO: Epoch: [244] [300/523] learning_rate: 0.023013 loss_vfl: 1.018349 loss_bbox: 0.443046 loss_dfl: 0.430360 loss: 1.880003 eta: 7:29:07 batch_cost: 1.1150 data_cost: 0.0025 ips: 50.2223 images/s [03/19 02:19:14] ppdet.engine INFO: Epoch: [244] [320/523] learning_rate: 0.022982 loss_vfl: 0.964949 loss_bbox: 0.431253 loss_dfl: 0.402162 loss: 1.806958 eta: 7:28:49 batch_cost: 1.0212 data_cost: 0.0006 ips: 54.8377 images/s [03/19 02:19:37] ppdet.engine INFO: Epoch: [244] [340/523] learning_rate: 0.022952 loss_vfl: 1.032584 loss_bbox: 0.440766 loss_dfl: 0.426068 loss: 1.899229 eta: 7:28:30 batch_cost: 1.0158 data_cost: 0.0026 ips: 55.1300 images/s [03/19 02:19:56] ppdet.engine INFO: Epoch: [244] [360/523] learning_rate: 0.022921 loss_vfl: 0.980454 loss_bbox: 0.428599 loss_dfl: 0.422327 loss: 1.815814 eta: 7:28:11 batch_cost: 0.8302 data_cost: 0.0044 ips: 67.4546 images/s [03/19 02:20:19] ppdet.engine INFO: Epoch: [244] [380/523] learning_rate: 0.022890 loss_vfl: 0.990435 loss_bbox: 0.450815 loss_dfl: 0.420265 loss: 1.867120 eta: 7:27:53 batch_cost: 1.0461 data_cost: 0.0047 ips: 53.5324 images/s [03/19 02:20:42] ppdet.engine INFO: Epoch: [244] [400/523] learning_rate: 0.022859 loss_vfl: 0.968833 loss_bbox: 0.423168 loss_dfl: 0.413284 loss: 1.808322 eta: 7:27:35 batch_cost: 1.0206 data_cost: 0.0045 ips: 54.8711 images/s [03/19 02:21:04] ppdet.engine INFO: Epoch: [244] [420/523] learning_rate: 0.022828 loss_vfl: 1.011599 loss_bbox: 0.471303 loss_dfl: 0.434437 loss: 1.928751 eta: 7:27:17 batch_cost: 0.9897 data_cost: 0.0043 ips: 56.5813 images/s [03/19 02:21:28] ppdet.engine INFO: Epoch: [244] [440/523] learning_rate: 0.022798 loss_vfl: 0.993169 loss_bbox: 0.428963 loss_dfl: 0.411878 loss: 1.834208 eta: 7:26:59 batch_cost: 1.1039 data_cost: 0.0011 ips: 50.7277 images/s [03/19 02:21:51] ppdet.engine INFO: Epoch: [244] [460/523] learning_rate: 0.022767 loss_vfl: 1.020204 loss_bbox: 0.451078 loss_dfl: 0.426945 loss: 1.866416 eta: 7:26:41 batch_cost: 1.0670 data_cost: 0.0036 ips: 52.4851 images/s [03/19 02:22:12] ppdet.engine INFO: Epoch: [244] [480/523] learning_rate: 0.022736 loss_vfl: 0.977244 loss_bbox: 0.446773 loss_dfl: 0.424878 loss: 1.857779 eta: 7:26:22 batch_cost: 0.9003 data_cost: 0.0038 ips: 62.1994 images/s [03/19 02:22:32] ppdet.engine INFO: Epoch: [244] [500/523] learning_rate: 0.022706 loss_vfl: 0.979668 loss_bbox: 0.430970 loss_dfl: 0.417213 loss: 1.851307 eta: 7:26:03 batch_cost: 0.8651 data_cost: 0.0044 ips: 64.7348 images/s [03/19 02:22:46] ppdet.engine INFO: Epoch: [244] [520/523] learning_rate: 0.022675 loss_vfl: 1.040121 loss_bbox: 0.448540 loss_dfl: 0.428131 loss: 1.911555 eta: 7:25:44 batch_cost: 0.6650 data_cost: 0.0024 ips: 84.2095 images/s [03/19 02:22:58] ppdet.engine INFO: Epoch: [245] [ 0/523] learning_rate: 0.022670 loss_vfl: 1.040121 loss_bbox: 0.440046 loss_dfl: 0.426627 loss: 1.905029 eta: 7:25:43 batch_cost: 1.1140 data_cost: 0.4161 ips: 50.2682 images/s [03/19 02:23:20] ppdet.engine INFO: Epoch: [245] [ 20/523] learning_rate: 0.022640 loss_vfl: 1.005608 loss_bbox: 0.427871 loss_dfl: 0.412611 loss: 1.851154 eta: 7:25:24 batch_cost: 1.0189 data_cost: 0.0116 ips: 54.9592 images/s [03/19 02:23:41] ppdet.engine INFO: Epoch: [245] [ 40/523] learning_rate: 0.022609 loss_vfl: 0.951983 loss_bbox: 0.416934 loss_dfl: 0.399666 loss: 1.752016 eta: 7:25:05 batch_cost: 0.8393 data_cost: 0.0030 ips: 66.7218 images/s [03/19 02:24:00] ppdet.engine INFO: Epoch: [245] [ 60/523] learning_rate: 0.022578 loss_vfl: 0.938286 loss_bbox: 0.421568 loss_dfl: 0.397140 loss: 1.753827 eta: 7:24:47 batch_cost: 0.8747 data_cost: 0.0027 ips: 64.0188 images/s [03/19 02:24:22] ppdet.engine INFO: Epoch: [245] [ 80/523] learning_rate: 0.022548 loss_vfl: 0.971714 loss_bbox: 0.422193 loss_dfl: 0.407108 loss: 1.779827 eta: 7:24:28 batch_cost: 0.9340 data_cost: 0.0032 ips: 59.9540 images/s [03/19 02:24:44] ppdet.engine INFO: Epoch: [245] [100/523] learning_rate: 0.022517 loss_vfl: 1.027515 loss_bbox: 0.465653 loss_dfl: 0.428536 loss: 1.945271 eta: 7:24:10 batch_cost: 0.9818 data_cost: 0.0035 ips: 57.0384 images/s [03/19 02:25:05] ppdet.engine INFO: Epoch: [245] [120/523] learning_rate: 0.022487 loss_vfl: 1.026861 loss_bbox: 0.458268 loss_dfl: 0.430998 loss: 1.905953 eta: 7:23:51 batch_cost: 0.9461 data_cost: 0.0064 ips: 59.1888 images/s [03/19 02:25:27] ppdet.engine INFO: Epoch: [245] [140/523] learning_rate: 0.022456 loss_vfl: 0.992219 loss_bbox: 0.436097 loss_dfl: 0.415882 loss: 1.860588 eta: 7:23:33 batch_cost: 0.9442 data_cost: 0.0036 ips: 59.3114 images/s [03/19 02:25:46] ppdet.engine INFO: Epoch: [245] [160/523] learning_rate: 0.022426 loss_vfl: 1.066113 loss_bbox: 0.473133 loss_dfl: 0.449714 loss: 1.975756 eta: 7:23:14 batch_cost: 0.8333 data_cost: 0.0061 ips: 67.2025 images/s [03/19 02:26:06] ppdet.engine INFO: Epoch: [245] [180/523] learning_rate: 0.022395 loss_vfl: 1.010902 loss_bbox: 0.433528 loss_dfl: 0.403540 loss: 1.840420 eta: 7:22:55 batch_cost: 0.8195 data_cost: 0.0070 ips: 68.3349 images/s [03/19 02:26:28] ppdet.engine INFO: Epoch: [245] [200/523] learning_rate: 0.022365 loss_vfl: 0.947088 loss_bbox: 0.438370 loss_dfl: 0.395936 loss: 1.792271 eta: 7:22:36 batch_cost: 0.9790 data_cost: 0.0188 ips: 57.1990 images/s [03/19 02:26:47] ppdet.engine INFO: Epoch: [245] [220/523] learning_rate: 0.022334 loss_vfl: 0.983132 loss_bbox: 0.425450 loss_dfl: 0.407592 loss: 1.828135 eta: 7:22:17 batch_cost: 0.8407 data_cost: 0.0035 ips: 66.6089 images/s [03/19 02:27:07] ppdet.engine INFO: Epoch: [245] [240/523] learning_rate: 0.022304 loss_vfl: 1.008954 loss_bbox: 0.429789 loss_dfl: 0.419713 loss: 1.878046 eta: 7:21:58 batch_cost: 0.8635 data_cost: 0.0058 ips: 64.8499 images/s [03/19 02:27:26] ppdet.engine INFO: Epoch: [245] [260/523] learning_rate: 0.022274 loss_vfl: 0.985864 loss_bbox: 0.424223 loss_dfl: 0.402924 loss: 1.800514 eta: 7:21:39 batch_cost: 0.7443 data_cost: 0.0053 ips: 75.2339 images/s [03/19 02:27:43] ppdet.engine INFO: Epoch: [245] [280/523] learning_rate: 0.022243 loss_vfl: 1.014865 loss_bbox: 0.454056 loss_dfl: 0.424123 loss: 1.896633 eta: 7:21:20 batch_cost: 0.7765 data_cost: 0.0019 ips: 72.1163 images/s [03/19 02:28:02] ppdet.engine INFO: Epoch: [245] [300/523] learning_rate: 0.022213 loss_vfl: 0.971789 loss_bbox: 0.438853 loss_dfl: 0.403818 loss: 1.800112 eta: 7:21:00 batch_cost: 0.8175 data_cost: 0.0931 ips: 68.5043 images/s [03/19 02:28:24] ppdet.engine INFO: Epoch: [245] [320/523] learning_rate: 0.022182 loss_vfl: 0.987541 loss_bbox: 0.421677 loss_dfl: 0.431548 loss: 1.852253 eta: 7:20:42 batch_cost: 0.9430 data_cost: 0.0683 ips: 59.3840 images/s [03/19 02:28:43] ppdet.engine INFO: Epoch: [245] [340/523] learning_rate: 0.022152 loss_vfl: 0.983801 loss_bbox: 0.455559 loss_dfl: 0.420245 loss: 1.851398 eta: 7:20:23 batch_cost: 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Epoch: [245] [440/523] learning_rate: 0.022001 loss_vfl: 0.997734 loss_bbox: 0.436871 loss_dfl: 0.420825 loss: 1.869992 eta: 7:18:49 batch_cost: 0.8090 data_cost: 0.0020 ips: 69.2218 images/s [03/19 02:30:47] ppdet.engine INFO: Epoch: [245] [460/523] learning_rate: 0.021970 loss_vfl: 0.970745 loss_bbox: 0.453362 loss_dfl: 0.429941 loss: 1.842144 eta: 7:18:30 batch_cost: 0.8154 data_cost: 0.0186 ips: 68.6821 images/s [03/19 02:31:06] ppdet.engine INFO: Epoch: [245] [480/523] learning_rate: 0.021940 loss_vfl: 1.030580 loss_bbox: 0.451743 loss_dfl: 0.431139 loss: 1.885281 eta: 7:18:11 batch_cost: 0.8933 data_cost: 0.0894 ips: 62.6914 images/s [03/19 02:31:28] ppdet.engine INFO: Epoch: [245] [500/523] learning_rate: 0.021910 loss_vfl: 0.995993 loss_bbox: 0.427741 loss_dfl: 0.395707 loss: 1.828000 eta: 7:17:53 batch_cost: 0.9644 data_cost: 0.1204 ips: 58.0643 images/s [03/19 02:31:45] ppdet.engine INFO: Epoch: [245] [520/523] learning_rate: 0.021880 loss_vfl: 0.978646 loss_bbox: 0.435347 loss_dfl: 0.415093 loss: 1.836441 eta: 7:17:33 batch_cost: 0.7141 data_cost: 0.0543 ips: 78.4206 images/s [03/19 02:31:56] ppdet.engine INFO: Epoch: [246] [ 0/523] learning_rate: 0.021875 loss_vfl: 0.978646 loss_bbox: 0.437707 loss_dfl: 0.416389 loss: 1.837408 eta: 7:17:32 batch_cost: 1.0814 data_cost: 0.3695 ips: 51.7858 images/s [03/19 02:32:17] ppdet.engine INFO: Epoch: [246] [ 20/523] learning_rate: 0.021845 loss_vfl: 1.037577 loss_bbox: 0.451573 loss_dfl: 0.432033 loss: 1.934889 eta: 7:17:14 batch_cost: 0.9524 data_cost: 0.0034 ips: 58.8009 images/s [03/19 02:32:36] ppdet.engine INFO: Epoch: [246] [ 40/523] learning_rate: 0.021815 loss_vfl: 1.023151 loss_bbox: 0.448302 loss_dfl: 0.422077 loss: 1.893868 eta: 7:16:54 batch_cost: 0.8319 data_cost: 0.0031 ips: 67.3147 images/s [03/19 02:32:53] ppdet.engine INFO: Epoch: [246] [ 60/523] learning_rate: 0.021785 loss_vfl: 0.993179 loss_bbox: 0.433067 loss_dfl: 0.414667 loss: 1.870853 eta: 7:16:35 batch_cost: 0.7576 data_cost: 0.0027 ips: 73.9188 images/s [03/19 02:33:14] ppdet.engine INFO: Epoch: [246] [ 80/523] learning_rate: 0.021755 loss_vfl: 1.000261 loss_bbox: 0.439059 loss_dfl: 0.409383 loss: 1.833341 eta: 7:16:17 batch_cost: 0.9516 data_cost: 0.0128 ips: 58.8491 images/s [03/19 02:33:33] ppdet.engine INFO: Epoch: [246] [100/523] learning_rate: 0.021725 loss_vfl: 1.023888 loss_bbox: 0.447555 loss_dfl: 0.422549 loss: 1.909266 eta: 7:15:58 batch_cost: 0.8498 data_cost: 0.0057 ips: 65.8983 images/s [03/19 02:33:53] ppdet.engine INFO: Epoch: [246] [120/523] learning_rate: 0.021695 loss_vfl: 1.007379 loss_bbox: 0.460259 loss_dfl: 0.430451 loss: 1.913828 eta: 7:15:39 batch_cost: 0.7973 data_cost: 0.0060 ips: 70.2348 images/s [03/19 02:34:16] ppdet.engine INFO: Epoch: [246] [140/523] learning_rate: 0.021665 loss_vfl: 0.984456 loss_bbox: 0.430503 loss_dfl: 0.411494 loss: 1.795103 eta: 7:15:20 batch_cost: 0.9192 data_cost: 0.0052 ips: 60.9232 images/s [03/19 02:34:34] ppdet.engine INFO: Epoch: [246] [160/523] learning_rate: 0.021635 loss_vfl: 1.015889 loss_bbox: 0.465796 loss_dfl: 0.432677 loss: 1.921628 eta: 7:15:01 batch_cost: 0.7576 data_cost: 0.0044 ips: 73.9223 images/s [03/19 02:34:59] ppdet.engine INFO: Epoch: [246] [180/523] learning_rate: 0.021605 loss_vfl: 0.991660 loss_bbox: 0.425126 loss_dfl: 0.406538 loss: 1.815311 eta: 7:14:43 batch_cost: 1.0717 data_cost: 0.0039 ips: 52.2512 images/s [03/19 02:35:19] ppdet.engine INFO: Epoch: [246] [200/523] learning_rate: 0.021575 loss_vfl: 1.084884 loss_bbox: 0.479305 loss_dfl: 0.458610 loss: 2.055030 eta: 7:14:24 batch_cost: 0.8622 data_cost: 0.0028 ips: 64.9479 images/s [03/19 02:35:38] ppdet.engine INFO: Epoch: [246] [220/523] learning_rate: 0.021545 loss_vfl: 1.013296 loss_bbox: 0.445257 loss_dfl: 0.423428 loss: 1.893217 eta: 7:14:05 batch_cost: 0.7918 data_cost: 0.0034 ips: 70.7234 images/s [03/19 02:35:58] ppdet.engine INFO: Epoch: [246] [240/523] learning_rate: 0.021515 loss_vfl: 1.041413 loss_bbox: 0.447939 loss_dfl: 0.431931 loss: 1.909684 eta: 7:13:46 batch_cost: 0.9188 data_cost: 0.0133 ips: 60.9490 images/s [03/19 02:36:18] ppdet.engine INFO: Epoch: [246] [260/523] learning_rate: 0.021485 loss_vfl: 0.970499 loss_bbox: 0.426453 loss_dfl: 0.416978 loss: 1.802579 eta: 7:13:27 batch_cost: 0.8465 data_cost: 0.0066 ips: 66.1511 images/s [03/19 02:36:40] ppdet.engine INFO: Epoch: [246] [280/523] learning_rate: 0.021455 loss_vfl: 0.967977 loss_bbox: 0.429042 loss_dfl: 0.430597 loss: 1.834969 eta: 7:13:08 batch_cost: 0.8963 data_cost: 0.0530 ips: 62.4766 images/s [03/19 02:37:01] ppdet.engine INFO: Epoch: [246] [300/523] learning_rate: 0.021425 loss_vfl: 1.033892 loss_bbox: 0.451177 loss_dfl: 0.430169 loss: 1.886899 eta: 7:12:50 batch_cost: 0.9506 data_cost: 0.1064 ips: 58.9083 images/s [03/19 02:37:21] ppdet.engine INFO: Epoch: [246] [320/523] learning_rate: 0.021395 loss_vfl: 0.994753 loss_bbox: 0.454801 loss_dfl: 0.421660 loss: 1.884760 eta: 7:12:31 batch_cost: 0.9056 data_cost: 0.1286 ips: 61.8400 images/s [03/19 02:37:39] ppdet.engine INFO: Epoch: [246] [340/523] learning_rate: 0.021366 loss_vfl: 1.002016 loss_bbox: 0.432406 loss_dfl: 0.408166 loss: 1.867035 eta: 7:12:12 batch_cost: 0.8362 data_cost: 0.0364 ips: 66.9659 images/s [03/19 02:37:56] ppdet.engine INFO: Epoch: [246] [360/523] learning_rate: 0.021336 loss_vfl: 0.955644 loss_bbox: 0.417009 loss_dfl: 0.391303 loss: 1.765757 eta: 7:11:53 batch_cost: 0.7442 data_cost: 0.0024 ips: 75.2491 images/s [03/19 02:38:17] ppdet.engine INFO: Epoch: [246] [380/523] learning_rate: 0.021306 loss_vfl: 0.989896 loss_bbox: 0.421513 loss_dfl: 0.411333 loss: 1.831145 eta: 7:11:34 batch_cost: 0.8178 data_cost: 0.0047 ips: 68.4732 images/s [03/19 02:38:35] ppdet.engine INFO: Epoch: [246] [400/523] learning_rate: 0.021276 loss_vfl: 0.954361 loss_bbox: 0.429549 loss_dfl: 0.401212 loss: 1.790647 eta: 7:11:15 batch_cost: 0.8432 data_cost: 0.0056 ips: 66.4159 images/s [03/19 02:38:57] ppdet.engine INFO: Epoch: [246] [420/523] learning_rate: 0.021246 loss_vfl: 0.984194 loss_bbox: 0.423181 loss_dfl: 0.409612 loss: 1.836013 eta: 7:10:56 batch_cost: 0.9373 data_cost: 0.0481 ips: 59.7474 images/s [03/19 02:39:19] ppdet.engine INFO: Epoch: [246] [440/523] learning_rate: 0.021217 loss_vfl: 1.031360 loss_bbox: 0.469074 loss_dfl: 0.419616 loss: 1.920492 eta: 7:10:38 batch_cost: 0.9354 data_cost: 0.0017 ips: 59.8647 images/s [03/19 02:39:38] ppdet.engine INFO: Epoch: [246] [460/523] learning_rate: 0.021187 loss_vfl: 1.000314 loss_bbox: 0.443443 loss_dfl: 0.417274 loss: 1.854739 eta: 7:10:19 batch_cost: 0.8505 data_cost: 0.0104 ips: 65.8421 images/s [03/19 02:40:00] ppdet.engine INFO: Epoch: [246] [480/523] learning_rate: 0.021157 loss_vfl: 1.009856 loss_bbox: 0.428847 loss_dfl: 0.416564 loss: 1.828747 eta: 7:10:00 batch_cost: 0.9520 data_cost: 0.0134 ips: 58.8232 images/s [03/19 02:40:21] ppdet.engine INFO: Epoch: [246] [500/523] learning_rate: 0.021128 loss_vfl: 0.997513 loss_bbox: 0.442890 loss_dfl: 0.422020 loss: 1.877406 eta: 7:09:41 batch_cost: 0.8966 data_cost: 0.0012 ips: 62.4577 images/s [03/19 02:40:37] ppdet.engine INFO: Epoch: [246] [520/523] learning_rate: 0.021098 loss_vfl: 0.972892 loss_bbox: 0.434627 loss_dfl: 0.401340 loss: 1.795044 eta: 7:09:22 batch_cost: 0.6674 data_cost: 0.0093 ips: 83.9044 images/s [03/19 02:40:48] ppdet.engine INFO: Epoch: [247] [ 0/523] learning_rate: 0.021094 loss_vfl: 0.974434 loss_bbox: 0.435720 loss_dfl: 0.417302 loss: 1.799230 eta: 7:09:20 batch_cost: 1.0342 data_cost: 0.2663 ips: 54.1458 images/s [03/19 02:41:11] ppdet.engine INFO: Epoch: [247] [ 20/523] learning_rate: 0.021064 loss_vfl: 0.974573 loss_bbox: 0.434748 loss_dfl: 0.414856 loss: 1.840967 eta: 7:09:02 batch_cost: 0.9653 data_cost: 0.0207 ips: 58.0126 images/s [03/19 02:41:31] ppdet.engine INFO: Epoch: [247] [ 40/523] learning_rate: 0.021034 loss_vfl: 1.026868 loss_bbox: 0.473441 loss_dfl: 0.448962 loss: 1.946843 eta: 7:08:43 batch_cost: 0.9555 data_cost: 0.0068 ips: 58.6068 images/s [03/19 02:41:54] ppdet.engine INFO: Epoch: [247] [ 60/523] learning_rate: 0.021005 loss_vfl: 0.966807 loss_bbox: 0.434815 loss_dfl: 0.401995 loss: 1.806139 eta: 7:08:25 batch_cost: 1.0452 data_cost: 0.0032 ips: 53.5767 images/s [03/19 02:42:14] ppdet.engine INFO: Epoch: [247] [ 80/523] learning_rate: 0.020975 loss_vfl: 0.954603 loss_bbox: 0.412668 loss_dfl: 0.398833 loss: 1.746186 eta: 7:08:07 batch_cost: 0.8744 data_cost: 0.0081 ips: 64.0463 images/s [03/19 02:42:32] ppdet.engine INFO: Epoch: [247] [100/523] learning_rate: 0.020946 loss_vfl: 1.005947 loss_bbox: 0.441395 loss_dfl: 0.423199 loss: 1.885509 eta: 7:07:47 batch_cost: 0.8226 data_cost: 0.0033 ips: 68.0785 images/s [03/19 02:42:50] ppdet.engine INFO: Epoch: [247] [120/523] learning_rate: 0.020916 loss_vfl: 0.953576 loss_bbox: 0.408542 loss_dfl: 0.398896 loss: 1.771885 eta: 7:07:28 batch_cost: 0.7753 data_cost: 0.0024 ips: 72.2310 images/s [03/19 02:43:12] ppdet.engine INFO: Epoch: [247] [140/523] learning_rate: 0.020886 loss_vfl: 1.019881 loss_bbox: 0.441165 loss_dfl: 0.426729 loss: 1.895674 eta: 7:07:10 batch_cost: 1.0399 data_cost: 0.0054 ips: 53.8536 images/s [03/19 02:43:34] ppdet.engine INFO: Epoch: [247] [160/523] learning_rate: 0.020857 loss_vfl: 0.994057 loss_bbox: 0.420480 loss_dfl: 0.415533 loss: 1.839173 eta: 7:06:52 batch_cost: 0.9676 data_cost: 0.0041 ips: 57.8726 images/s [03/19 02:43:56] ppdet.engine INFO: Epoch: [247] [180/523] learning_rate: 0.020827 loss_vfl: 0.947521 loss_bbox: 0.427979 loss_dfl: 0.415361 loss: 1.777624 eta: 7:06:33 batch_cost: 0.9421 data_cost: 0.0066 ips: 59.4394 images/s [03/19 02:44:17] ppdet.engine INFO: Epoch: [247] [200/523] learning_rate: 0.020798 loss_vfl: 0.939920 loss_bbox: 0.429322 loss_dfl: 0.412835 loss: 1.762762 eta: 7:06:15 batch_cost: 0.9921 data_cost: 0.0025 ips: 56.4481 images/s [03/19 02:44:37] ppdet.engine INFO: Epoch: [247] [220/523] learning_rate: 0.020769 loss_vfl: 1.033342 loss_bbox: 0.444198 loss_dfl: 0.419458 loss: 1.906440 eta: 7:05:56 batch_cost: 0.9295 data_cost: 0.0036 ips: 60.2494 images/s [03/19 02:45:00] ppdet.engine INFO: Epoch: [247] [240/523] learning_rate: 0.020739 loss_vfl: 0.993336 loss_bbox: 0.450317 loss_dfl: 0.432273 loss: 1.876681 eta: 7:05:38 batch_cost: 0.9942 data_cost: 0.0019 ips: 56.3255 images/s [03/19 02:45:20] ppdet.engine INFO: Epoch: [247] [260/523] learning_rate: 0.020710 loss_vfl: 0.969397 loss_bbox: 0.424039 loss_dfl: 0.413779 loss: 1.808227 eta: 7:05:19 batch_cost: 0.9254 data_cost: 0.0025 ips: 60.5125 images/s [03/19 02:45:42] ppdet.engine INFO: Epoch: [247] [280/523] learning_rate: 0.020680 loss_vfl: 0.957243 loss_bbox: 0.443458 loss_dfl: 0.420492 loss: 1.799229 eta: 7:05:01 batch_cost: 0.9803 data_cost: 0.0040 ips: 57.1264 images/s [03/19 02:46:04] ppdet.engine INFO: Epoch: [247] [300/523] learning_rate: 0.020651 loss_vfl: 0.987683 loss_bbox: 0.446673 loss_dfl: 0.421847 loss: 1.869335 eta: 7:04:43 batch_cost: 0.9853 data_cost: 0.0040 ips: 56.8359 images/s [03/19 02:46:24] ppdet.engine INFO: Epoch: [247] [320/523] learning_rate: 0.020622 loss_vfl: 0.965927 loss_bbox: 0.463161 loss_dfl: 0.424388 loss: 1.854784 eta: 7:04:24 batch_cost: 0.8446 data_cost: 0.0046 ips: 66.3031 images/s [03/19 02:46:45] ppdet.engine INFO: Epoch: [247] [340/523] learning_rate: 0.020592 loss_vfl: 0.978610 loss_bbox: 0.441101 loss_dfl: 0.411897 loss: 1.810822 eta: 7:04:05 batch_cost: 0.9649 data_cost: 0.0057 ips: 58.0355 images/s [03/19 02:47:06] ppdet.engine INFO: Epoch: [247] [360/523] learning_rate: 0.020563 loss_vfl: 0.938824 loss_bbox: 0.434663 loss_dfl: 0.405847 loss: 1.786490 eta: 7:03:47 batch_cost: 1.0034 data_cost: 0.0009 ips: 55.8116 images/s [03/19 02:47:24] ppdet.engine INFO: Epoch: [247] [380/523] learning_rate: 0.020534 loss_vfl: 0.988837 loss_bbox: 0.434187 loss_dfl: 0.413814 loss: 1.843262 eta: 7:03:28 batch_cost: 0.8320 data_cost: 0.0037 ips: 67.3089 images/s [03/19 02:47:43] ppdet.engine INFO: Epoch: [247] [400/523] learning_rate: 0.020504 loss_vfl: 0.980925 loss_bbox: 0.430845 loss_dfl: 0.403902 loss: 1.825415 eta: 7:03:09 batch_cost: 0.8004 data_cost: 0.0020 ips: 69.9677 images/s [03/19 02:48:01] ppdet.engine INFO: Epoch: [247] [420/523] learning_rate: 0.020475 loss_vfl: 0.912029 loss_bbox: 0.398348 loss_dfl: 0.391676 loss: 1.707574 eta: 7:02:50 batch_cost: 0.8562 data_cost: 0.0053 ips: 65.4024 images/s [03/19 02:48:23] ppdet.engine INFO: Epoch: [247] [440/523] learning_rate: 0.020446 loss_vfl: 1.032377 loss_bbox: 0.466203 loss_dfl: 0.433325 loss: 1.916157 eta: 7:02:31 batch_cost: 0.9644 data_cost: 0.0012 ips: 58.0664 images/s [03/19 02:48:48] ppdet.engine INFO: Epoch: [247] [460/523] learning_rate: 0.020417 loss_vfl: 1.004641 loss_bbox: 0.443071 loss_dfl: 0.427728 loss: 1.869588 eta: 7:02:14 batch_cost: 1.1418 data_cost: 0.0022 ips: 49.0437 images/s [03/19 02:49:08] ppdet.engine INFO: Epoch: [247] [480/523] learning_rate: 0.020387 loss_vfl: 0.990965 loss_bbox: 0.448170 loss_dfl: 0.415900 loss: 1.863792 eta: 7:01:55 batch_cost: 0.9201 data_cost: 0.0050 ips: 60.8597 images/s [03/19 02:49:30] ppdet.engine INFO: Epoch: [247] [500/523] learning_rate: 0.020358 loss_vfl: 1.006521 loss_bbox: 0.437257 loss_dfl: 0.412142 loss: 1.858784 eta: 7:01:37 batch_cost: 0.9608 data_cost: 0.0023 ips: 58.2866 images/s [03/19 02:49:48] ppdet.engine INFO: Epoch: [247] [520/523] learning_rate: 0.020329 loss_vfl: 0.970526 loss_bbox: 0.423450 loss_dfl: 0.418251 loss: 1.811108 eta: 7:01:18 batch_cost: 0.8201 data_cost: 0.0030 ips: 68.2823 images/s [03/19 02:50:00] ppdet.engine INFO: Epoch: [248] [ 0/523] learning_rate: 0.020325 loss_vfl: 0.965534 loss_bbox: 0.423450 loss_dfl: 0.418251 loss: 1.811108 eta: 7:01:16 batch_cost: 1.2086 data_cost: 0.4285 ips: 46.3349 images/s [03/19 02:50:24] ppdet.engine INFO: Epoch: [248] [ 20/523] learning_rate: 0.020296 loss_vfl: 0.992987 loss_bbox: 0.439172 loss_dfl: 0.420103 loss: 1.882848 eta: 7:00:58 batch_cost: 1.0583 data_cost: 0.0002 ips: 52.9152 images/s [03/19 02:50:48] ppdet.engine INFO: Epoch: [248] [ 40/523] learning_rate: 0.020266 loss_vfl: 1.009897 loss_bbox: 0.433640 loss_dfl: 0.407289 loss: 1.856199 eta: 7:00:40 batch_cost: 1.0513 data_cost: 0.0016 ips: 53.2680 images/s [03/19 02:51:12] ppdet.engine INFO: Epoch: [248] [ 60/523] learning_rate: 0.020237 loss_vfl: 0.946153 loss_bbox: 0.418235 loss_dfl: 0.394006 loss: 1.750781 eta: 7:00:22 batch_cost: 1.0920 data_cost: 0.0038 ips: 51.2802 images/s [03/19 02:51:32] ppdet.engine INFO: Epoch: [248] [ 80/523] learning_rate: 0.020208 loss_vfl: 1.003336 loss_bbox: 0.451297 loss_dfl: 0.428375 loss: 1.869695 eta: 7:00:04 batch_cost: 0.9054 data_cost: 0.0034 ips: 61.8517 images/s [03/19 02:51:53] ppdet.engine INFO: Epoch: [248] [100/523] learning_rate: 0.020179 loss_vfl: 1.042847 loss_bbox: 0.466074 loss_dfl: 0.444111 loss: 1.960315 eta: 6:59:45 batch_cost: 0.9048 data_cost: 0.0025 ips: 61.8890 images/s [03/19 02:52:12] ppdet.engine INFO: Epoch: [248] [120/523] learning_rate: 0.020150 loss_vfl: 1.006778 loss_bbox: 0.451368 loss_dfl: 0.424648 loss: 1.878179 eta: 6:59:26 batch_cost: 0.8538 data_cost: 0.0018 ips: 65.5872 images/s [03/19 02:52:31] ppdet.engine INFO: Epoch: [248] [140/523] learning_rate: 0.020121 loss_vfl: 0.945924 loss_bbox: 0.427906 loss_dfl: 0.407294 loss: 1.809897 eta: 6:59:07 batch_cost: 0.8671 data_cost: 0.0018 ips: 64.5796 images/s [03/19 02:52:55] ppdet.engine INFO: Epoch: [248] [160/523] learning_rate: 0.020092 loss_vfl: 1.012752 loss_bbox: 0.432465 loss_dfl: 0.429243 loss: 1.880629 eta: 6:58:49 batch_cost: 1.0496 data_cost: 0.0003 ips: 53.3529 images/s [03/19 02:53:18] ppdet.engine INFO: Epoch: [248] [180/523] learning_rate: 0.020063 loss_vfl: 0.977972 loss_bbox: 0.441002 loss_dfl: 0.414735 loss: 1.852006 eta: 6:58:31 batch_cost: 1.0642 data_cost: 0.0032 ips: 52.6219 images/s [03/19 02:53:41] ppdet.engine INFO: Epoch: [248] [200/523] learning_rate: 0.020034 loss_vfl: 0.979212 loss_bbox: 0.428096 loss_dfl: 0.413726 loss: 1.822492 eta: 6:58:13 batch_cost: 1.0652 data_cost: 0.0020 ips: 52.5727 images/s [03/19 02:54:04] ppdet.engine INFO: Epoch: [248] 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0.429467 loss: 1.871813 eta: 6:56:42 batch_cost: 1.0372 data_cost: 0.0025 ips: 53.9933 images/s [03/19 02:55:54] ppdet.engine INFO: Epoch: [248] [320/523] learning_rate: 0.019861 loss_vfl: 0.949959 loss_bbox: 0.429132 loss_dfl: 0.406844 loss: 1.816350 eta: 6:56:24 batch_cost: 0.9451 data_cost: 0.0016 ips: 59.2538 images/s [03/19 02:56:17] ppdet.engine INFO: Epoch: [248] [340/523] learning_rate: 0.019832 loss_vfl: 0.974692 loss_bbox: 0.435226 loss_dfl: 0.410077 loss: 1.825145 eta: 6:56:06 batch_cost: 1.0457 data_cost: 0.2144 ips: 53.5525 images/s [03/19 02:56:34] ppdet.engine INFO: Epoch: [248] [360/523] learning_rate: 0.019803 loss_vfl: 1.009599 loss_bbox: 0.469488 loss_dfl: 0.434829 loss: 1.925188 eta: 6:55:47 batch_cost: 0.7808 data_cost: 0.0015 ips: 71.7201 images/s [03/19 02:56:53] ppdet.engine INFO: Epoch: [248] [380/523] learning_rate: 0.019774 loss_vfl: 1.008113 loss_bbox: 0.441426 loss_dfl: 0.419988 loss: 1.865045 eta: 6:55:28 batch_cost: 0.8379 data_cost: 0.0002 ips: 66.8358 images/s [03/19 02:57:17] ppdet.engine INFO: Epoch: [248] [400/523] learning_rate: 0.019746 loss_vfl: 1.024116 loss_bbox: 0.440788 loss_dfl: 0.417700 loss: 1.902113 eta: 6:55:09 batch_cost: 1.0468 data_cost: 0.1378 ips: 53.4960 images/s [03/19 02:57:38] ppdet.engine INFO: Epoch: [248] [420/523] learning_rate: 0.019717 loss_vfl: 0.981432 loss_bbox: 0.435513 loss_dfl: 0.414333 loss: 1.834246 eta: 6:54:51 batch_cost: 0.9734 data_cost: 0.1017 ips: 57.5286 images/s [03/19 02:58:01] ppdet.engine INFO: Epoch: [248] [440/523] learning_rate: 0.019688 loss_vfl: 1.013417 loss_bbox: 0.456338 loss_dfl: 0.433049 loss: 1.855328 eta: 6:54:33 batch_cost: 1.0742 data_cost: 0.0013 ips: 52.1300 images/s [03/19 02:58:23] ppdet.engine INFO: Epoch: [248] [460/523] learning_rate: 0.019659 loss_vfl: 0.966772 loss_bbox: 0.421903 loss_dfl: 0.404813 loss: 1.797972 eta: 6:54:15 batch_cost: 0.9671 data_cost: 0.0015 ips: 57.9044 images/s [03/19 02:58:47] ppdet.engine INFO: Epoch: [248] [480/523] learning_rate: 0.019631 loss_vfl: 0.985065 loss_bbox: 0.419352 loss_dfl: 0.407857 loss: 1.820254 eta: 6:53:57 batch_cost: 1.1107 data_cost: 0.0078 ips: 50.4184 images/s [03/19 02:59:06] ppdet.engine INFO: Epoch: [248] [500/523] learning_rate: 0.019602 loss_vfl: 0.924476 loss_bbox: 0.415686 loss_dfl: 0.394495 loss: 1.720564 eta: 6:53:38 batch_cost: 0.8336 data_cost: 0.0075 ips: 67.1751 images/s [03/19 02:59:26] ppdet.engine INFO: Epoch: [248] [520/523] learning_rate: 0.019573 loss_vfl: 0.935635 loss_bbox: 0.413667 loss_dfl: 0.387814 loss: 1.744036 eta: 6:53:19 batch_cost: 0.8922 data_cost: 0.0421 ips: 62.7629 images/s [03/19 02:59:37] ppdet.engine INFO: Epoch: [249] [ 0/523] learning_rate: 0.019569 loss_vfl: 0.933839 loss_bbox: 0.395477 loss_dfl: 0.394349 loss: 1.729832 eta: 6:53:18 batch_cost: 1.2168 data_cost: 0.3410 ips: 46.0218 images/s [03/19 02:59:59] ppdet.engine INFO: Epoch: [249] [ 20/523] learning_rate: 0.019540 loss_vfl: 0.971881 loss_bbox: 0.432614 loss_dfl: 0.405278 loss: 1.805056 eta: 6:52:59 batch_cost: 1.0069 data_cost: 0.0010 ips: 55.6187 images/s [03/19 03:00:23] ppdet.engine INFO: Epoch: [249] [ 40/523] learning_rate: 0.019512 loss_vfl: 1.026762 loss_bbox: 0.442682 loss_dfl: 0.441029 loss: 1.911711 eta: 6:52:41 batch_cost: 1.0978 data_cost: 0.0047 ips: 51.0120 images/s [03/19 03:00:43] ppdet.engine INFO: Epoch: [249] [ 60/523] learning_rate: 0.019483 loss_vfl: 1.016229 loss_bbox: 0.463781 loss_dfl: 0.428151 loss: 1.903994 eta: 6:52:22 batch_cost: 0.8484 data_cost: 0.0017 ips: 66.0074 images/s [03/19 03:01:01] ppdet.engine INFO: Epoch: [249] [ 80/523] learning_rate: 0.019455 loss_vfl: 1.013335 loss_bbox: 0.452141 loss_dfl: 0.435513 loss: 1.908311 eta: 6:52:04 batch_cost: 0.8526 data_cost: 0.0023 ips: 65.6822 images/s [03/19 03:01:21] ppdet.engine INFO: Epoch: [249] [100/523] learning_rate: 0.019426 loss_vfl: 1.000780 loss_bbox: 0.432348 loss_dfl: 0.425097 loss: 1.821090 eta: 6:51:45 batch_cost: 0.8734 data_cost: 0.0028 ips: 64.1146 images/s [03/19 03:01:42] ppdet.engine INFO: Epoch: [249] [120/523] learning_rate: 0.019398 loss_vfl: 0.969447 loss_bbox: 0.458761 loss_dfl: 0.424253 loss: 1.882253 eta: 6:51:26 batch_cost: 0.9618 data_cost: 0.0059 ips: 58.2230 images/s [03/19 03:02:03] ppdet.engine INFO: Epoch: [249] [140/523] learning_rate: 0.019369 loss_vfl: 0.999501 loss_bbox: 0.439587 loss_dfl: 0.422280 loss: 1.877546 eta: 6:51:08 batch_cost: 0.9369 data_cost: 0.0024 ips: 59.7704 images/s [03/19 03:02:26] ppdet.engine INFO: Epoch: [249] [160/523] learning_rate: 0.019341 loss_vfl: 0.963396 loss_bbox: 0.421851 loss_dfl: 0.394533 loss: 1.766728 eta: 6:50:50 batch_cost: 1.0798 data_cost: 0.0042 ips: 51.8618 images/s [03/19 03:02:48] ppdet.engine INFO: Epoch: [249] [180/523] learning_rate: 0.019312 loss_vfl: 0.978828 loss_bbox: 0.444559 loss_dfl: 0.420381 loss: 1.842240 eta: 6:50:32 batch_cost: 1.0546 data_cost: 0.0012 ips: 53.0983 images/s [03/19 03:03:10] ppdet.engine INFO: Epoch: [249] [200/523] learning_rate: 0.019284 loss_vfl: 0.985236 loss_bbox: 0.442804 loss_dfl: 0.416072 loss: 1.857985 eta: 6:50:13 batch_cost: 1.0079 data_cost: 0.0049 ips: 55.5593 images/s [03/19 03:03:32] ppdet.engine INFO: Epoch: [249] [220/523] learning_rate: 0.019255 loss_vfl: 0.975385 loss_bbox: 0.427520 loss_dfl: 0.402970 loss: 1.807488 eta: 6:49:55 batch_cost: 1.0204 data_cost: 0.0066 ips: 54.8831 images/s [03/19 03:03:54] ppdet.engine INFO: Epoch: [249] [240/523] learning_rate: 0.019227 loss_vfl: 0.965715 loss_bbox: 0.426078 loss_dfl: 0.403935 loss: 1.788827 eta: 6:49:37 batch_cost: 0.9894 data_cost: 0.0069 ips: 56.6008 images/s [03/19 03:04:15] ppdet.engine INFO: Epoch: [249] [260/523] learning_rate: 0.019198 loss_vfl: 1.040095 loss_bbox: 0.437903 loss_dfl: 0.435377 loss: 1.927098 eta: 6:49:18 batch_cost: 0.9182 data_cost: 0.0033 ips: 60.9868 images/s [03/19 03:04:37] ppdet.engine INFO: Epoch: [249] [280/523] learning_rate: 0.019170 loss_vfl: 1.031665 loss_bbox: 0.444999 loss_dfl: 0.430991 loss: 1.920170 eta: 6:49:00 batch_cost: 0.9989 data_cost: 0.0026 ips: 56.0608 images/s [03/19 03:04:58] ppdet.engine INFO: Epoch: [249] [300/523] learning_rate: 0.019142 loss_vfl: 1.007811 loss_bbox: 0.474046 loss_dfl: 0.437188 loss: 1.893149 eta: 6:48:41 batch_cost: 0.9535 data_cost: 0.0076 ips: 58.7320 images/s [03/19 03:05:22] ppdet.engine INFO: Epoch: [249] [320/523] learning_rate: 0.019113 loss_vfl: 0.964331 loss_bbox: 0.429723 loss_dfl: 0.414171 loss: 1.800842 eta: 6:48:23 batch_cost: 1.0798 data_cost: 0.0006 ips: 51.8630 images/s [03/19 03:05:40] ppdet.engine INFO: Epoch: [249] [340/523] learning_rate: 0.019085 loss_vfl: 0.979397 loss_bbox: 0.433823 loss_dfl: 0.420578 loss: 1.835860 eta: 6:48:04 batch_cost: 0.7974 data_cost: 0.0019 ips: 70.2317 images/s [03/19 03:05:59] ppdet.engine INFO: Epoch: [249] [360/523] learning_rate: 0.019057 loss_vfl: 1.015501 loss_bbox: 0.449626 loss_dfl: 0.423224 loss: 1.891866 eta: 6:47:45 batch_cost: 0.9008 data_cost: 0.0018 ips: 62.1682 images/s [03/19 03:06:19] ppdet.engine INFO: Epoch: [249] [380/523] learning_rate: 0.019028 loss_vfl: 1.044637 loss_bbox: 0.464929 loss_dfl: 0.447118 loss: 1.947457 eta: 6:47:27 batch_cost: 0.9066 data_cost: 0.0040 ips: 61.7716 images/s [03/19 03:06:40] ppdet.engine INFO: Epoch: [249] [400/523] learning_rate: 0.019000 loss_vfl: 0.995069 loss_bbox: 0.445966 loss_dfl: 0.423581 loss: 1.867416 eta: 6:47:08 batch_cost: 0.9041 data_cost: 0.0067 ips: 61.9392 images/s [03/19 03:07:01] ppdet.engine INFO: Epoch: [249] [420/523] learning_rate: 0.018972 loss_vfl: 0.974634 loss_bbox: 0.422113 loss_dfl: 0.418113 loss: 1.835249 eta: 6:46:49 batch_cost: 0.9049 data_cost: 0.0038 ips: 61.8874 images/s [03/19 03:07:23] ppdet.engine INFO: Epoch: [249] [440/523] learning_rate: 0.018944 loss_vfl: 0.956429 loss_bbox: 0.414015 loss_dfl: 0.406058 loss: 1.760294 eta: 6:46:31 batch_cost: 1.0151 data_cost: 0.0060 ips: 55.1652 images/s [03/19 03:07:45] ppdet.engine INFO: Epoch: [249] [460/523] learning_rate: 0.018915 loss_vfl: 1.004078 loss_bbox: 0.457520 loss_dfl: 0.435236 loss: 1.892790 eta: 6:46:13 batch_cost: 0.9478 data_cost: 0.0052 ips: 59.0871 images/s [03/19 03:08:06] ppdet.engine INFO: Epoch: [249] [480/523] learning_rate: 0.018887 loss_vfl: 0.990570 loss_bbox: 0.433769 loss_dfl: 0.419862 loss: 1.850982 eta: 6:45:54 batch_cost: 0.9639 data_cost: 0.0089 ips: 58.0964 images/s [03/19 03:08:28] ppdet.engine INFO: Epoch: [249] [500/523] learning_rate: 0.018859 loss_vfl: 0.918110 loss_bbox: 0.424285 loss_dfl: 0.398482 loss: 1.726122 eta: 6:45:36 batch_cost: 0.9608 data_cost: 0.0024 ips: 58.2863 images/s [03/19 03:08:45] ppdet.engine INFO: Epoch: [249] [520/523] learning_rate: 0.018831 loss_vfl: 1.000361 loss_bbox: 0.451105 loss_dfl: 0.422030 loss: 1.868817 eta: 6:45:16 batch_cost: 0.7719 data_cost: 0.0024 ips: 72.5486 images/s [03/19 03:08:47] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 03:08:47] ppdet.engine INFO: Eval iter: 0 [03/19 03:09:07] ppdet.engine INFO: Eval iter: 100 [03/19 03:09:17] ppdet.engine INFO: Eval iter: 200 [03/19 03:09:27] ppdet.engine INFO: Eval iter: 300 [03/19 03:09:36] ppdet.engine INFO: Eval iter: 400 [03/19 03:09:46] ppdet.engine INFO: Eval iter: 500 [03/19 03:09:56] ppdet.engine INFO: Eval iter: 600 [03/19 03:10:10] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.57s) creating index... index created! [03/19 03:10:10] 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=84.52s). Accumulating evaluation results... DONE (t=17.18s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.259 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.389 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.274 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.083 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.258 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.435 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.254 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.409 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.437 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.161 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.482 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.691 [03/19 03:11:59] ppdet.engine INFO: Total sample number: 4952, averge FPS: 69.33964633163653 [03/19 03:11:59] ppdet.engine INFO: Best test bbox ap is 0.259. [03/19 03:11:59] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 03:11:59] ppdet.engine INFO: Epoch: [250] [ 0/523] learning_rate: 0.018827 loss_vfl: 0.953165 loss_bbox: 0.407763 loss_dfl: 0.399658 loss: 1.751838 eta: 6:45:13 batch_cost: 0.6998 data_cost: 0.0024 ips: 80.0214 images/s [03/19 03:12:15] ppdet.engine INFO: Epoch: [250] [ 20/523] learning_rate: 0.018799 loss_vfl: 0.929158 loss_bbox: 0.418175 loss_dfl: 0.399407 loss: 1.745121 eta: 6:44:54 batch_cost: 0.6744 data_cost: 0.0066 ips: 83.0329 images/s [03/19 03:12:38] ppdet.engine INFO: Epoch: [250] [ 40/523] learning_rate: 0.018770 loss_vfl: 1.051303 loss_bbox: 0.433044 loss_dfl: 0.423230 loss: 1.917069 eta: 6:44:35 batch_cost: 0.9627 data_cost: 0.0006 ips: 58.1688 images/s [03/19 03:13:02] ppdet.engine INFO: Epoch: [250] [ 60/523] learning_rate: 0.018742 loss_vfl: 0.956301 loss_bbox: 0.441524 loss_dfl: 0.414240 loss: 1.825294 eta: 6:44:17 batch_cost: 1.0971 data_cost: 0.0035 ips: 51.0447 images/s [03/19 03:13:24] ppdet.engine INFO: Epoch: [250] [ 80/523] learning_rate: 0.018714 loss_vfl: 0.969822 loss_bbox: 0.439290 loss_dfl: 0.404942 loss: 1.796443 eta: 6:43:59 batch_cost: 1.0341 data_cost: 0.0023 ips: 54.1514 images/s [03/19 03:13:46] ppdet.engine INFO: Epoch: [250] [100/523] learning_rate: 0.018686 loss_vfl: 1.040347 loss_bbox: 0.447749 loss_dfl: 0.430639 loss: 1.930258 eta: 6:43:41 batch_cost: 0.9374 data_cost: 0.0009 ips: 59.7388 images/s [03/19 03:14:07] ppdet.engine INFO: Epoch: [250] [120/523] learning_rate: 0.018658 loss_vfl: 1.047385 loss_bbox: 0.467227 loss_dfl: 0.440469 loss: 1.964652 eta: 6:43:22 batch_cost: 0.9466 data_cost: 0.0063 ips: 59.1587 images/s [03/19 03:14:26] ppdet.engine INFO: Epoch: [250] [140/523] learning_rate: 0.018630 loss_vfl: 0.968024 loss_bbox: 0.424693 loss_dfl: 0.397669 loss: 1.788566 eta: 6:43:03 batch_cost: 0.9133 data_cost: 0.0021 ips: 61.3165 images/s [03/19 03:14:44] ppdet.engine INFO: Epoch: [250] [160/523] learning_rate: 0.018602 loss_vfl: 1.030320 loss_bbox: 0.472520 loss_dfl: 0.439698 loss: 1.929149 eta: 6:42:44 batch_cost: 0.7787 data_cost: 0.0020 ips: 71.9186 images/s [03/19 03:15:04] ppdet.engine INFO: Epoch: [250] [180/523] learning_rate: 0.018574 loss_vfl: 0.979363 loss_bbox: 0.447152 loss_dfl: 0.427790 loss: 1.850701 eta: 6:42:25 batch_cost: 0.8908 data_cost: 0.0116 ips: 62.8648 images/s [03/19 03:15:25] ppdet.engine INFO: Epoch: [250] [200/523] learning_rate: 0.018546 loss_vfl: 0.982946 loss_bbox: 0.429741 loss_dfl: 0.403951 loss: 1.813623 eta: 6:42:07 batch_cost: 0.9775 data_cost: 0.0040 ips: 57.2873 images/s [03/19 03:15:47] ppdet.engine INFO: Epoch: [250] [220/523] learning_rate: 0.018518 loss_vfl: 0.963336 loss_bbox: 0.424392 loss_dfl: 0.398127 loss: 1.776332 eta: 6:41:48 batch_cost: 0.9414 data_cost: 0.0010 ips: 59.4832 images/s [03/19 03:16:09] ppdet.engine INFO: Epoch: [250] [240/523] learning_rate: 0.018491 loss_vfl: 1.015270 loss_bbox: 0.457397 loss_dfl: 0.429410 loss: 1.876318 eta: 6:41:30 batch_cost: 0.9734 data_cost: 0.0028 ips: 57.5304 images/s [03/19 03:16:30] ppdet.engine INFO: Epoch: [250] [260/523] learning_rate: 0.018463 loss_vfl: 0.970218 loss_bbox: 0.416701 loss_dfl: 0.399085 loss: 1.762710 eta: 6:41:12 batch_cost: 0.9622 data_cost: 0.0038 ips: 58.2024 images/s [03/19 03:16:52] ppdet.engine INFO: Epoch: [250] [280/523] learning_rate: 0.018435 loss_vfl: 1.035823 loss_bbox: 0.462624 loss_dfl: 0.449372 loss: 1.968456 eta: 6:40:53 batch_cost: 0.9940 data_cost: 0.0040 ips: 56.3378 images/s [03/19 03:17:13] ppdet.engine INFO: Epoch: [250] [300/523] learning_rate: 0.018407 loss_vfl: 0.958346 loss_bbox: 0.413838 loss_dfl: 0.404694 loss: 1.770123 eta: 6:40:35 batch_cost: 0.9274 data_cost: 0.0065 ips: 60.3811 images/s [03/19 03:17:35] ppdet.engine INFO: Epoch: [250] [320/523] learning_rate: 0.018379 loss_vfl: 0.971541 loss_bbox: 0.428214 loss_dfl: 0.409881 loss: 1.793824 eta: 6:40:16 batch_cost: 1.0550 data_cost: 0.0010 ips: 53.0809 images/s [03/19 03:17:56] ppdet.engine INFO: Epoch: [250] [340/523] learning_rate: 0.018351 loss_vfl: 1.040822 loss_bbox: 0.423826 loss_dfl: 0.416521 loss: 1.881791 eta: 6:39:58 batch_cost: 0.9398 data_cost: 0.0058 ips: 59.5848 images/s [03/19 03:18:18] ppdet.engine INFO: Epoch: [250] [360/523] learning_rate: 0.018323 loss_vfl: 1.016241 loss_bbox: 0.464068 loss_dfl: 0.430641 loss: 1.918372 eta: 6:39:40 batch_cost: 0.9780 data_cost: 0.0096 ips: 57.2625 images/s [03/19 03:18:39] ppdet.engine INFO: Epoch: [250] [380/523] learning_rate: 0.018296 loss_vfl: 0.947173 loss_bbox: 0.438832 loss_dfl: 0.403142 loss: 1.778579 eta: 6:39:21 batch_cost: 0.9342 data_cost: 0.0051 ips: 59.9429 images/s [03/19 03:19:01] ppdet.engine INFO: Epoch: [250] [400/523] learning_rate: 0.018268 loss_vfl: 0.965807 loss_bbox: 0.416974 loss_dfl: 0.407992 loss: 1.791783 eta: 6:39:03 batch_cost: 0.9718 data_cost: 0.0029 ips: 57.6223 images/s [03/19 03:19:18] ppdet.engine INFO: Epoch: [250] [420/523] learning_rate: 0.018240 loss_vfl: 0.991732 loss_bbox: 0.450800 loss_dfl: 0.419922 loss: 1.854310 eta: 6:38:43 batch_cost: 0.7908 data_cost: 0.0037 ips: 70.8144 images/s [03/19 03:19:37] ppdet.engine INFO: Epoch: [250] [440/523] learning_rate: 0.018212 loss_vfl: 1.076025 loss_bbox: 0.456757 loss_dfl: 0.448163 loss: 1.990555 eta: 6:38:25 batch_cost: 0.8710 data_cost: 0.0043 ips: 64.2921 images/s [03/19 03:19:59] ppdet.engine INFO: Epoch: [250] [460/523] learning_rate: 0.018185 loss_vfl: 1.022129 loss_bbox: 0.453597 loss_dfl: 0.428262 loss: 1.890357 eta: 6:38:06 batch_cost: 0.9238 data_cost: 0.0080 ips: 60.6179 images/s [03/19 03:20:20] ppdet.engine INFO: Epoch: [250] [480/523] learning_rate: 0.018157 loss_vfl: 0.952376 loss_bbox: 0.435929 loss_dfl: 0.408187 loss: 1.774787 eta: 6:37:48 batch_cost: 1.0126 data_cost: 0.0023 ips: 55.3015 images/s [03/19 03:20:41] ppdet.engine INFO: Epoch: [250] [500/523] learning_rate: 0.018129 loss_vfl: 0.962850 loss_bbox: 0.419701 loss_dfl: 0.411411 loss: 1.775628 eta: 6:37:29 batch_cost: 0.9289 data_cost: 0.0019 ips: 60.2833 images/s [03/19 03:20:58] ppdet.engine INFO: Epoch: [250] [520/523] learning_rate: 0.018102 loss_vfl: 0.973152 loss_bbox: 0.408042 loss_dfl: 0.401545 loss: 1.782902 eta: 6:37:10 batch_cost: 0.7767 data_cost: 0.0043 ips: 72.1043 images/s [03/19 03:21:08] ppdet.engine INFO: Epoch: [251] [ 0/523] learning_rate: 0.018098 loss_vfl: 0.985891 loss_bbox: 0.412302 loss_dfl: 0.401545 loss: 1.790335 eta: 6:37:08 batch_cost: 1.0812 data_cost: 0.3880 ips: 51.7933 images/s [03/19 03:21:32] ppdet.engine INFO: Epoch: [251] [ 20/523] learning_rate: 0.018070 loss_vfl: 0.944944 loss_bbox: 0.412786 loss_dfl: 0.409120 loss: 1.742377 eta: 6:36:50 batch_cost: 0.9013 data_cost: 0.0187 ips: 62.1306 images/s [03/19 03:21:51] ppdet.engine INFO: Epoch: [251] [ 40/523] learning_rate: 0.018042 loss_vfl: 1.019899 loss_bbox: 0.437793 loss_dfl: 0.425612 loss: 1.874501 eta: 6:36:31 batch_cost: 0.8217 data_cost: 0.0055 ips: 68.1549 images/s [03/19 03:22:12] ppdet.engine INFO: Epoch: [251] [ 60/523] learning_rate: 0.018015 loss_vfl: 1.000070 loss_bbox: 0.432272 loss_dfl: 0.415547 loss: 1.839017 eta: 6:36:12 batch_cost: 0.8643 data_cost: 0.0586 ips: 64.7896 images/s [03/19 03:22:35] ppdet.engine INFO: Epoch: [251] [ 80/523] learning_rate: 0.017987 loss_vfl: 1.009708 loss_bbox: 0.421533 loss_dfl: 0.409210 loss: 1.814004 eta: 6:35:53 batch_cost: 0.9714 data_cost: 0.1614 ips: 57.6473 images/s [03/19 03:22:55] ppdet.engine INFO: Epoch: [251] [100/523] learning_rate: 0.017960 loss_vfl: 0.989723 loss_bbox: 0.439152 loss_dfl: 0.428000 loss: 1.859778 eta: 6:35:34 batch_cost: 0.8137 data_cost: 0.0046 ips: 68.8201 images/s [03/19 03:23:16] ppdet.engine INFO: Epoch: [251] [120/523] learning_rate: 0.017932 loss_vfl: 0.978446 loss_bbox: 0.413880 loss_dfl: 0.401260 loss: 1.782088 eta: 6:35:15 batch_cost: 0.8649 data_cost: 0.0023 ips: 64.7511 images/s [03/19 03:23:36] ppdet.engine INFO: Epoch: [251] [140/523] learning_rate: 0.017905 loss_vfl: 0.998622 loss_bbox: 0.439658 loss_dfl: 0.411070 loss: 1.854013 eta: 6:34:56 batch_cost: 0.7596 data_cost: 0.0025 ips: 73.7237 images/s [03/19 03:23:57] ppdet.engine INFO: Epoch: [251] [160/523] learning_rate: 0.017877 loss_vfl: 1.056915 loss_bbox: 0.479749 loss_dfl: 0.445790 loss: 1.988783 eta: 6:34:38 batch_cost: 0.9590 data_cost: 0.1191 ips: 58.3947 images/s [03/19 03:24:16] ppdet.engine INFO: Epoch: [251] [180/523] learning_rate: 0.017850 loss_vfl: 1.010316 loss_bbox: 0.427711 loss_dfl: 0.414708 loss: 1.857325 eta: 6:34:18 batch_cost: 0.7566 data_cost: 0.0035 ips: 74.0133 images/s [03/19 03:24:32] ppdet.engine INFO: Epoch: [251] [200/523] learning_rate: 0.017822 loss_vfl: 0.988815 loss_bbox: 0.460020 loss_dfl: 0.431387 loss: 1.876123 eta: 6:33:59 batch_cost: 0.7304 data_cost: 0.0040 ips: 76.6664 images/s [03/19 03:24:53] ppdet.engine INFO: Epoch: [251] [220/523] learning_rate: 0.017795 loss_vfl: 0.994915 loss_bbox: 0.436541 loss_dfl: 0.415475 loss: 1.857406 eta: 6:33:40 batch_cost: 0.9067 data_cost: 0.0043 ips: 61.7637 images/s [03/19 03:25:15] ppdet.engine INFO: Epoch: [251] [240/523] learning_rate: 0.017768 loss_vfl: 0.975682 loss_bbox: 0.439642 loss_dfl: 0.418610 loss: 1.835940 eta: 6:33:22 batch_cost: 0.9655 data_cost: 0.0006 ips: 58.0015 images/s [03/19 03:25:35] ppdet.engine INFO: Epoch: [251] [260/523] learning_rate: 0.017740 loss_vfl: 0.974659 loss_bbox: 0.432682 loss_dfl: 0.414979 loss: 1.818382 eta: 6:33:03 batch_cost: 0.8783 data_cost: 0.0104 ips: 63.7592 images/s [03/19 03:25:54] ppdet.engine INFO: Epoch: [251] [280/523] learning_rate: 0.017713 loss_vfl: 0.975289 loss_bbox: 0.430559 loss_dfl: 0.412434 loss: 1.820535 eta: 6:32:44 batch_cost: 0.7879 data_cost: 0.0003 ips: 71.0709 images/s [03/19 03:26:15] ppdet.engine INFO: Epoch: [251] [300/523] learning_rate: 0.017686 loss_vfl: 0.980275 loss_bbox: 0.439197 loss_dfl: 0.429498 loss: 1.857270 eta: 6:32:25 batch_cost: 0.8530 data_cost: 0.0088 ips: 65.6507 images/s [03/19 03:26:36] ppdet.engine INFO: Epoch: [251] [320/523] learning_rate: 0.017658 loss_vfl: 0.996486 loss_bbox: 0.439208 loss_dfl: 0.423266 loss: 1.856654 eta: 6:32:06 batch_cost: 0.9160 data_cost: 0.0100 ips: 61.1321 images/s [03/19 03:26:57] ppdet.engine INFO: Epoch: [251] [340/523] learning_rate: 0.017631 loss_vfl: 0.961962 loss_bbox: 0.408449 loss_dfl: 0.401148 loss: 1.775460 eta: 6:31:48 batch_cost: 0.8868 data_cost: 0.0059 ips: 63.1476 images/s [03/19 03:27:20] ppdet.engine INFO: Epoch: [251] [360/523] learning_rate: 0.017604 loss_vfl: 0.966197 loss_bbox: 0.432594 loss_dfl: 0.411428 loss: 1.825993 eta: 6:31:29 batch_cost: 0.9931 data_cost: 0.1682 ips: 56.3884 images/s [03/19 03:27:40] ppdet.engine INFO: Epoch: [251] [380/523] learning_rate: 0.017576 loss_vfl: 0.989325 loss_bbox: 0.432000 loss_dfl: 0.423741 loss: 1.832822 eta: 6:31:10 batch_cost: 0.8732 data_cost: 0.0758 ips: 64.1333 images/s [03/19 03:28:02] ppdet.engine INFO: Epoch: [251] [400/523] learning_rate: 0.017549 loss_vfl: 1.020070 loss_bbox: 0.455876 loss_dfl: 0.433075 loss: 1.909550 eta: 6:30:52 batch_cost: 0.9386 data_cost: 0.1330 ips: 59.6630 images/s [03/19 03:28:21] ppdet.engine INFO: Epoch: [251] [420/523] learning_rate: 0.017522 loss_vfl: 0.984300 loss_bbox: 0.435603 loss_dfl: 0.409129 loss: 1.809520 eta: 6:30:33 batch_cost: 0.7979 data_cost: 0.0217 ips: 70.1861 images/s [03/19 03:28:45] ppdet.engine INFO: Epoch: [251] [440/523] learning_rate: 0.017495 loss_vfl: 0.976346 loss_bbox: 0.414531 loss_dfl: 0.402244 loss: 1.792025 eta: 6:30:15 batch_cost: 1.0775 data_cost: 0.3028 ips: 51.9711 images/s [03/19 03:29:02] ppdet.engine INFO: Epoch: [251] [460/523] learning_rate: 0.017468 loss_vfl: 0.968335 loss_bbox: 0.434712 loss_dfl: 0.413677 loss: 1.817911 eta: 6:29:55 batch_cost: 0.7330 data_cost: 0.0067 ips: 76.3935 images/s [03/19 03:29:20] ppdet.engine INFO: Epoch: [251] [480/523] learning_rate: 0.017440 loss_vfl: 0.988189 loss_bbox: 0.427399 loss_dfl: 0.413378 loss: 1.835700 eta: 6:29:36 batch_cost: 0.7354 data_cost: 0.0048 ips: 76.1469 images/s [03/19 03:29:37] ppdet.engine INFO: Epoch: [251] [500/523] learning_rate: 0.017413 loss_vfl: 1.000945 loss_bbox: 0.440893 loss_dfl: 0.418320 loss: 1.862006 eta: 6:29:17 batch_cost: 0.7422 data_cost: 0.0024 ips: 75.4470 images/s [03/19 03:29:54] ppdet.engine INFO: Epoch: [251] [520/523] learning_rate: 0.017386 loss_vfl: 1.012621 loss_bbox: 0.466031 loss_dfl: 0.431390 loss: 1.906633 eta: 6:28:57 batch_cost: 0.7053 data_cost: 0.0018 ips: 79.3951 images/s [03/19 03:30:06] ppdet.engine INFO: Epoch: [252] [ 0/523] learning_rate: 0.017382 loss_vfl: 1.020297 loss_bbox: 0.471740 loss_dfl: 0.442262 loss: 1.923126 eta: 6:28:56 batch_cost: 1.1284 data_cost: 0.2954 ips: 49.6298 images/s [03/19 03:30:28] ppdet.engine INFO: Epoch: [252] [ 20/523] learning_rate: 0.017355 loss_vfl: 1.047315 loss_bbox: 0.456749 loss_dfl: 0.442192 loss: 1.953727 eta: 6:28:37 batch_cost: 0.9278 data_cost: 0.0024 ips: 60.3593 images/s [03/19 03:30:50] ppdet.engine INFO: Epoch: [252] [ 40/523] learning_rate: 0.017328 loss_vfl: 1.008340 loss_bbox: 0.427377 loss_dfl: 0.409085 loss: 1.875029 eta: 6:28:19 batch_cost: 0.9368 data_cost: 0.0034 ips: 59.7802 images/s [03/19 03:31:11] ppdet.engine INFO: Epoch: [252] [ 60/523] learning_rate: 0.017301 loss_vfl: 0.891953 loss_bbox: 0.397419 loss_dfl: 0.386265 loss: 1.656488 eta: 6:28:00 batch_cost: 0.9238 data_cost: 0.0074 ips: 60.6201 images/s [03/19 03:31:34] ppdet.engine INFO: Epoch: [252] [ 80/523] learning_rate: 0.017274 loss_vfl: 0.962210 loss_bbox: 0.444783 loss_dfl: 0.421199 loss: 1.810136 eta: 6:27:42 batch_cost: 1.0688 data_cost: 0.0010 ips: 52.3965 images/s [03/19 03:31:56] ppdet.engine INFO: Epoch: [252] [100/523] learning_rate: 0.017247 loss_vfl: 1.008766 loss_bbox: 0.437910 loss_dfl: 0.427632 loss: 1.861658 eta: 6:27:24 batch_cost: 0.9765 data_cost: 0.0045 ips: 57.3502 images/s [03/19 03:32:19] ppdet.engine INFO: Epoch: [252] [120/523] learning_rate: 0.017220 loss_vfl: 1.024819 loss_bbox: 0.456173 loss_dfl: 0.430325 loss: 1.920611 eta: 6:27:06 batch_cost: 1.0565 data_cost: 0.0058 ips: 53.0051 images/s [03/19 03:32:41] ppdet.engine INFO: Epoch: [252] [140/523] learning_rate: 0.017193 loss_vfl: 0.957351 loss_bbox: 0.422392 loss_dfl: 0.403782 loss: 1.775121 eta: 6:26:48 batch_cost: 1.0456 data_cost: 0.0035 ips: 53.5596 images/s [03/19 03:33:04] ppdet.engine INFO: Epoch: [252] [160/523] learning_rate: 0.017166 loss_vfl: 0.968902 loss_bbox: 0.432977 loss_dfl: 0.413556 loss: 1.829118 eta: 6:26:29 batch_cost: 1.0335 data_cost: 0.0055 ips: 54.1863 images/s [03/19 03:33:23] ppdet.engine INFO: Epoch: [252] [180/523] learning_rate: 0.017139 loss_vfl: 0.928595 loss_bbox: 0.392272 loss_dfl: 0.391771 loss: 1.724764 eta: 6:26:10 batch_cost: 0.8391 data_cost: 0.0023 ips: 66.7349 images/s [03/19 03:33:43] ppdet.engine INFO: Epoch: [252] [200/523] learning_rate: 0.017112 loss_vfl: 0.984885 loss_bbox: 0.420388 loss_dfl: 0.402569 loss: 1.802501 eta: 6:25:52 batch_cost: 0.8690 data_cost: 0.0041 ips: 64.4439 images/s [03/19 03:34:01] ppdet.engine INFO: Epoch: [252] [220/523] learning_rate: 0.017085 loss_vfl: 0.991212 loss_bbox: 0.425128 loss_dfl: 0.412750 loss: 1.815253 eta: 6:25:33 batch_cost: 0.8306 data_cost: 0.0018 ips: 67.4251 images/s [03/19 03:34:24] ppdet.engine INFO: Epoch: [252] [240/523] learning_rate: 0.017058 loss_vfl: 0.950678 loss_bbox: 0.413768 loss_dfl: 0.401360 loss: 1.773931 eta: 6:25:15 batch_cost: 1.0965 data_cost: 0.0011 ips: 51.0704 images/s [03/19 03:34:44] ppdet.engine INFO: Epoch: [252] [260/523] learning_rate: 0.017031 loss_vfl: 0.952480 loss_bbox: 0.428378 loss_dfl: 0.414787 loss: 1.800119 eta: 6:24:56 batch_cost: 0.9084 data_cost: 0.0031 ips: 61.6494 images/s [03/19 03:35:05] ppdet.engine INFO: Epoch: [252] [280/523] learning_rate: 0.017004 loss_vfl: 1.011534 loss_bbox: 0.465282 loss_dfl: 0.435896 loss: 1.915998 eta: 6:24:37 batch_cost: 0.9094 data_cost: 0.0056 ips: 61.5771 images/s [03/19 03:35:26] ppdet.engine INFO: Epoch: [252] [300/523] learning_rate: 0.016978 loss_vfl: 0.978208 loss_bbox: 0.431285 loss_dfl: 0.416987 loss: 1.826800 eta: 6:24:19 batch_cost: 0.9277 data_cost: 0.0066 ips: 60.3645 images/s [03/19 03:35:47] ppdet.engine INFO: Epoch: [252] [320/523] learning_rate: 0.016951 loss_vfl: 0.954702 loss_bbox: 0.413550 loss_dfl: 0.393720 loss: 1.771305 eta: 6:24:00 batch_cost: 0.9058 data_cost: 0.0056 ips: 61.8256 images/s [03/19 03:36:09] ppdet.engine INFO: Epoch: [252] [340/523] learning_rate: 0.016924 loss_vfl: 0.986677 loss_bbox: 0.440616 loss_dfl: 0.416043 loss: 1.820677 eta: 6:23:42 batch_cost: 1.0014 data_cost: 0.0024 ips: 55.9203 images/s [03/19 03:36:32] ppdet.engine INFO: Epoch: [252] [360/523] learning_rate: 0.016897 loss_vfl: 0.987606 loss_bbox: 0.436695 loss_dfl: 0.424960 loss: 1.852682 eta: 6:23:24 batch_cost: 1.0438 data_cost: 0.0061 ips: 53.6497 images/s [03/19 03:36:52] ppdet.engine INFO: Epoch: [252] [380/523] learning_rate: 0.016871 loss_vfl: 0.962391 loss_bbox: 0.420527 loss_dfl: 0.388046 loss: 1.747350 eta: 6:23:05 batch_cost: 0.8904 data_cost: 0.0051 ips: 62.8915 images/s [03/19 03:37:13] ppdet.engine INFO: Epoch: [252] [400/523] learning_rate: 0.016844 loss_vfl: 0.981181 loss_bbox: 0.432395 loss_dfl: 0.414894 loss: 1.822161 eta: 6:22:46 batch_cost: 0.9600 data_cost: 0.0062 ips: 58.3362 images/s [03/19 03:37:37] ppdet.engine INFO: Epoch: [252] [420/523] learning_rate: 0.016817 loss_vfl: 0.997729 loss_bbox: 0.470430 loss_dfl: 0.436151 loss: 1.896360 eta: 6:22:28 batch_cost: 1.0595 data_cost: 0.0014 ips: 52.8547 images/s [03/19 03:37:57] ppdet.engine INFO: Epoch: [252] [440/523] learning_rate: 0.016790 loss_vfl: 1.022912 loss_bbox: 0.467807 loss_dfl: 0.438689 loss: 1.918091 eta: 6:22:10 batch_cost: 0.9167 data_cost: 0.0038 ips: 61.0911 images/s [03/19 03:38:19] ppdet.engine INFO: Epoch: [252] [460/523] learning_rate: 0.016764 loss_vfl: 0.993200 loss_bbox: 0.427238 loss_dfl: 0.417171 loss: 1.850137 eta: 6:21:51 batch_cost: 1.0197 data_cost: 0.0003 ips: 54.9180 images/s [03/19 03:38:37] ppdet.engine INFO: Epoch: [252] [480/523] learning_rate: 0.016737 loss_vfl: 0.992945 loss_bbox: 0.414055 loss_dfl: 0.416538 loss: 1.840799 eta: 6:21:32 batch_cost: 0.7989 data_cost: 0.0037 ips: 70.0924 images/s [03/19 03:38:54] ppdet.engine INFO: Epoch: [252] [500/523] learning_rate: 0.016711 loss_vfl: 0.981999 loss_bbox: 0.435943 loss_dfl: 0.411440 loss: 1.797569 eta: 6:21:13 batch_cost: 0.7687 data_cost: 0.0109 ips: 72.8508 images/s [03/19 03:39:11] ppdet.engine INFO: Epoch: [252] [520/523] learning_rate: 0.016684 loss_vfl: 0.997091 loss_bbox: 0.446931 loss_dfl: 0.425296 loss: 1.860202 eta: 6:20:54 batch_cost: 0.7544 data_cost: 0.0031 ips: 74.2330 images/s [03/19 03:39:26] ppdet.engine INFO: Epoch: [253] [ 0/523] learning_rate: 0.016680 loss_vfl: 0.970853 loss_bbox: 0.446931 loss_dfl: 0.422935 loss: 1.857278 eta: 6:20:53 batch_cost: 1.3414 data_cost: 0.2591 ips: 41.7479 images/s [03/19 03:39:46] ppdet.engine INFO: Epoch: [253] [ 20/523] learning_rate: 0.016653 loss_vfl: 1.031502 loss_bbox: 0.441365 loss_dfl: 0.437881 loss: 1.938943 eta: 6:20:34 batch_cost: 0.8631 data_cost: 0.0013 ips: 64.8838 images/s [03/19 03:40:06] ppdet.engine INFO: Epoch: [253] [ 40/523] learning_rate: 0.016627 loss_vfl: 0.958476 loss_bbox: 0.425547 loss_dfl: 0.416559 loss: 1.798038 eta: 6:20:16 batch_cost: 0.9389 data_cost: 0.0036 ips: 59.6450 images/s [03/19 03:40:30] ppdet.engine INFO: Epoch: [253] [ 60/523] learning_rate: 0.016600 loss_vfl: 1.021546 loss_bbox: 0.438650 loss_dfl: 0.424032 loss: 1.875174 eta: 6:19:58 batch_cost: 1.0972 data_cost: 0.0069 ips: 51.0368 images/s [03/19 03:40:50] ppdet.engine INFO: Epoch: [253] [ 80/523] learning_rate: 0.016574 loss_vfl: 1.000707 loss_bbox: 0.416293 loss_dfl: 0.419988 loss: 1.845488 eta: 6:19:39 batch_cost: 0.8751 data_cost: 0.0079 ips: 63.9943 images/s [03/19 03:41:12] ppdet.engine INFO: Epoch: [253] [100/523] learning_rate: 0.016547 loss_vfl: 0.977563 loss_bbox: 0.403655 loss_dfl: 0.395999 loss: 1.764285 eta: 6:19:20 batch_cost: 0.9395 data_cost: 0.0036 ips: 59.6069 images/s [03/19 03:41:34] ppdet.engine INFO: Epoch: [253] [120/523] learning_rate: 0.016521 loss_vfl: 0.952564 loss_bbox: 0.427585 loss_dfl: 0.407394 loss: 1.798985 eta: 6:19:02 batch_cost: 1.0228 data_cost: 0.0020 ips: 54.7541 images/s [03/19 03:41:58] ppdet.engine INFO: Epoch: [253] [140/523] learning_rate: 0.016494 loss_vfl: 0.994763 loss_bbox: 0.457075 loss_dfl: 0.423746 loss: 1.856821 eta: 6:18:44 batch_cost: 1.1150 data_cost: 0.0036 ips: 50.2233 images/s [03/19 03:42:20] ppdet.engine INFO: Epoch: [253] [160/523] learning_rate: 0.016468 loss_vfl: 0.961112 loss_bbox: 0.454932 loss_dfl: 0.430630 loss: 1.848668 eta: 6:18:26 batch_cost: 0.9877 data_cost: 0.0028 ips: 56.6975 images/s [03/19 03:42:40] ppdet.engine INFO: Epoch: [253] [180/523] learning_rate: 0.016441 loss_vfl: 1.034439 loss_bbox: 0.473685 loss_dfl: 0.446106 loss: 1.962907 eta: 6:18:07 batch_cost: 0.8707 data_cost: 0.0032 ips: 64.3188 images/s [03/19 03:43:02] ppdet.engine INFO: Epoch: [253] [200/523] learning_rate: 0.016415 loss_vfl: 0.928684 loss_bbox: 0.422804 loss_dfl: 0.393628 loss: 1.724656 eta: 6:17:49 batch_cost: 1.0010 data_cost: 0.0032 ips: 55.9432 images/s [03/19 03:43:21] ppdet.engine INFO: Epoch: [253] [220/523] learning_rate: 0.016389 loss_vfl: 1.027139 loss_bbox: 0.459211 loss_dfl: 0.432863 loss: 1.924000 eta: 6:17:30 batch_cost: 0.8680 data_cost: 0.0025 ips: 64.5134 images/s [03/19 03:43:39] ppdet.engine INFO: Epoch: [253] [240/523] learning_rate: 0.016362 loss_vfl: 1.032056 loss_bbox: 0.479644 loss_dfl: 0.442552 loss: 1.941562 eta: 6:17:11 batch_cost: 0.8043 data_cost: 0.0033 ips: 69.6246 images/s [03/19 03:44:01] ppdet.engine INFO: Epoch: [253] [260/523] learning_rate: 0.016336 loss_vfl: 0.961739 loss_bbox: 0.415597 loss_dfl: 0.401277 loss: 1.776989 eta: 6:16:52 batch_cost: 1.0142 data_cost: 0.0021 ips: 55.2156 images/s [03/19 03:44:22] ppdet.engine INFO: Epoch: [253] [280/523] learning_rate: 0.016310 loss_vfl: 0.974428 loss_bbox: 0.445767 loss_dfl: 0.417553 loss: 1.851014 eta: 6:16:34 batch_cost: 0.8980 data_cost: 0.0022 ips: 62.3626 images/s [03/19 03:44:41] ppdet.engine INFO: Epoch: [253] [300/523] learning_rate: 0.016283 loss_vfl: 0.969410 loss_bbox: 0.408736 loss_dfl: 0.395441 loss: 1.769180 eta: 6:16:15 batch_cost: 0.8640 data_cost: 0.0041 ips: 64.8183 images/s [03/19 03:45:04] ppdet.engine INFO: Epoch: [253] [320/523] learning_rate: 0.016257 loss_vfl: 0.986436 loss_bbox: 0.429344 loss_dfl: 0.416381 loss: 1.818069 eta: 6:15:57 batch_cost: 1.0298 data_cost: 0.0003 ips: 54.3789 images/s [03/19 03:45:25] ppdet.engine INFO: Epoch: [253] [340/523] learning_rate: 0.016231 loss_vfl: 1.026613 loss_bbox: 0.442103 loss_dfl: 0.423400 loss: 1.898294 eta: 6:15:38 batch_cost: 0.9694 data_cost: 0.0043 ips: 57.7659 images/s [03/19 03:45:47] ppdet.engine INFO: Epoch: [253] [360/523] learning_rate: 0.016205 loss_vfl: 0.986654 loss_bbox: 0.433959 loss_dfl: 0.417734 loss: 1.842841 eta: 6:15:20 batch_cost: 1.0066 data_cost: 0.0021 ips: 55.6351 images/s [03/19 03:46:08] ppdet.engine INFO: Epoch: [253] [380/523] learning_rate: 0.016178 loss_vfl: 0.985977 loss_bbox: 0.432380 loss_dfl: 0.409148 loss: 1.824365 eta: 6:15:01 batch_cost: 0.9365 data_cost: 0.0098 ips: 59.7976 images/s [03/19 03:46:29] ppdet.engine INFO: Epoch: [253] [400/523] learning_rate: 0.016152 loss_vfl: 0.936861 loss_bbox: 0.406434 loss_dfl: 0.398232 loss: 1.744924 eta: 6:14:43 batch_cost: 1.0014 data_cost: 0.0133 ips: 55.9193 images/s [03/19 03:46:51] ppdet.engine INFO: Epoch: [253] [420/523] learning_rate: 0.016126 loss_vfl: 0.888492 loss_bbox: 0.409518 loss_dfl: 0.389627 loss: 1.681176 eta: 6:14:25 batch_cost: 1.0203 data_cost: 0.0045 ips: 54.8842 images/s [03/19 03:47:13] ppdet.engine INFO: Epoch: [253] [440/523] learning_rate: 0.016100 loss_vfl: 1.071492 loss_bbox: 0.469928 loss_dfl: 0.442439 loss: 1.980198 eta: 6:14:06 batch_cost: 0.9616 data_cost: 0.0024 ips: 58.2384 images/s [03/19 03:47:34] ppdet.engine INFO: Epoch: [253] [460/523] learning_rate: 0.016074 loss_vfl: 1.000118 loss_bbox: 0.440573 loss_dfl: 0.416681 loss: 1.851623 eta: 6:13:47 batch_cost: 0.8413 data_cost: 0.0039 ips: 66.5611 images/s [03/19 03:47:54] ppdet.engine INFO: Epoch: [253] [480/523] learning_rate: 0.016048 loss_vfl: 0.957979 loss_bbox: 0.432512 loss_dfl: 0.409494 loss: 1.805760 eta: 6:13:29 batch_cost: 0.9236 data_cost: 0.0066 ips: 60.6313 images/s [03/19 03:48:11] ppdet.engine INFO: Epoch: [253] [500/523] learning_rate: 0.016021 loss_vfl: 0.986785 loss_bbox: 0.423822 loss_dfl: 0.432433 loss: 1.892533 eta: 6:13:09 batch_cost: 0.7522 data_cost: 0.0020 ips: 74.4495 images/s [03/19 03:48:26] ppdet.engine INFO: Epoch: [253] [520/523] learning_rate: 0.015995 loss_vfl: 0.997154 loss_bbox: 0.441329 loss_dfl: 0.419546 loss: 1.863935 eta: 6:12:50 batch_cost: 0.6226 data_cost: 0.0113 ips: 89.9426 images/s [03/19 03:48:40] ppdet.engine INFO: Epoch: [254] [ 0/523] learning_rate: 0.015991 loss_vfl: 1.003987 loss_bbox: 0.442181 loss_dfl: 0.425913 loss: 1.868542 eta: 6:12:49 batch_cost: 1.1597 data_cost: 0.4247 ips: 48.2881 images/s [03/19 03:49:01] ppdet.engine INFO: Epoch: [254] [ 20/523] learning_rate: 0.015965 loss_vfl: 1.008436 loss_bbox: 0.460539 loss_dfl: 0.430801 loss: 1.878823 eta: 6:12:30 batch_cost: 0.9113 data_cost: 0.0052 ips: 61.4489 images/s [03/19 03:49:24] ppdet.engine INFO: Epoch: [254] [ 40/523] learning_rate: 0.015939 loss_vfl: 1.003782 loss_bbox: 0.437318 loss_dfl: 0.424156 loss: 1.864380 eta: 6:12:12 batch_cost: 0.9896 data_cost: 0.0056 ips: 56.5863 images/s [03/19 03:49:44] ppdet.engine INFO: Epoch: [254] [ 60/523] learning_rate: 0.015913 loss_vfl: 0.977700 loss_bbox: 0.434689 loss_dfl: 0.426173 loss: 1.863273 eta: 6:11:53 batch_cost: 0.8042 data_cost: 0.0018 ips: 69.6383 images/s [03/19 03:50:07] ppdet.engine INFO: Epoch: [254] [ 80/523] learning_rate: 0.015887 loss_vfl: 1.005450 loss_bbox: 0.442364 loss_dfl: 0.421294 loss: 1.867392 eta: 6:11:34 batch_cost: 0.8649 data_cost: 0.1279 ips: 64.7440 images/s [03/19 03:50:31] ppdet.engine INFO: Epoch: [254] [100/523] learning_rate: 0.015861 loss_vfl: 0.997660 loss_bbox: 0.427560 loss_dfl: 0.413205 loss: 1.854251 eta: 6:11:16 batch_cost: 1.0491 data_cost: 0.1096 ips: 53.3772 images/s [03/19 03:50:52] ppdet.engine INFO: Epoch: [254] [120/523] learning_rate: 0.015835 loss_vfl: 0.988653 loss_bbox: 0.410348 loss_dfl: 0.408472 loss: 1.813541 eta: 6:10:57 batch_cost: 0.8541 data_cost: 0.0037 ips: 65.5678 images/s [03/19 03:51:15] ppdet.engine INFO: Epoch: [254] [140/523] learning_rate: 0.015809 loss_vfl: 0.992380 loss_bbox: 0.441883 loss_dfl: 0.413937 loss: 1.886762 eta: 6:10:38 batch_cost: 1.0211 data_cost: 0.1305 ips: 54.8434 images/s [03/19 03:51:36] ppdet.engine INFO: Epoch: [254] [160/523] learning_rate: 0.015783 loss_vfl: 0.951747 loss_bbox: 0.420683 loss_dfl: 0.402961 loss: 1.775975 eta: 6:10:20 batch_cost: 0.9577 data_cost: 0.0885 ips: 58.4710 images/s [03/19 03:52:01] ppdet.engine INFO: Epoch: [254] [180/523] learning_rate: 0.015758 loss_vfl: 1.002328 loss_bbox: 0.426574 loss_dfl: 0.402090 loss: 1.811368 eta: 6:10:02 batch_cost: 0.9911 data_cost: 0.1059 ips: 56.5036 images/s [03/19 03:52:20] ppdet.engine INFO: Epoch: [254] [200/523] learning_rate: 0.015732 loss_vfl: 1.007976 loss_bbox: 0.443084 loss_dfl: 0.422884 loss: 1.862783 eta: 6:09:43 batch_cost: 0.8323 data_cost: 0.0023 ips: 67.2856 images/s [03/19 03:52:40] ppdet.engine INFO: Epoch: [254] [220/523] learning_rate: 0.015706 loss_vfl: 1.005054 loss_bbox: 0.446481 loss_dfl: 0.425552 loss: 1.882797 eta: 6:09:24 batch_cost: 0.8400 data_cost: 0.0043 ips: 66.6706 images/s [03/19 03:52:58] ppdet.engine INFO: Epoch: [254] [240/523] learning_rate: 0.015680 loss_vfl: 0.995289 loss_bbox: 0.423725 loss_dfl: 0.402522 loss: 1.824251 eta: 6:09:05 batch_cost: 0.7602 data_cost: 0.0033 ips: 73.6676 images/s [03/19 03:53:17] ppdet.engine INFO: Epoch: [254] [260/523] learning_rate: 0.015654 loss_vfl: 0.997595 loss_bbox: 0.451685 loss_dfl: 0.425872 loss: 1.864163 eta: 6:08:45 batch_cost: 0.7682 data_cost: 0.0078 ips: 72.8986 images/s [03/19 03:53:37] ppdet.engine INFO: Epoch: [254] [280/523] learning_rate: 0.015628 loss_vfl: 1.000809 loss_bbox: 0.438728 loss_dfl: 0.430909 loss: 1.874420 eta: 6:08:26 batch_cost: 0.8090 data_cost: 0.0271 ips: 69.2218 images/s [03/19 03:54:00] ppdet.engine INFO: Epoch: [254] [300/523] learning_rate: 0.015603 loss_vfl: 0.961041 loss_bbox: 0.429156 loss_dfl: 0.401721 loss: 1.798738 eta: 6:08:08 batch_cost: 1.0144 data_cost: 0.2068 ips: 55.2023 images/s [03/19 03:54:21] ppdet.engine INFO: Epoch: [254] [320/523] learning_rate: 0.015577 loss_vfl: 0.940781 loss_bbox: 0.419235 loss_dfl: 0.396742 loss: 1.772558 eta: 6:07:49 batch_cost: 0.8565 data_cost: 0.0019 ips: 65.3844 images/s [03/19 03:54:43] ppdet.engine INFO: Epoch: [254] [340/523] learning_rate: 0.015551 loss_vfl: 1.028775 loss_bbox: 0.462900 loss_dfl: 0.421049 loss: 1.893805 eta: 6:07:31 batch_cost: 0.9138 data_cost: 0.2127 ips: 61.2837 images/s [03/19 03:55:05] ppdet.engine INFO: Epoch: [254] [360/523] learning_rate: 0.015525 loss_vfl: 0.977737 loss_bbox: 0.449050 loss_dfl: 0.414195 loss: 1.830078 eta: 6:07:12 batch_cost: 0.9700 data_cost: 0.2157 ips: 57.7328 images/s [03/19 03:55:28] ppdet.engine INFO: Epoch: [254] [380/523] learning_rate: 0.015500 loss_vfl: 0.955076 loss_bbox: 0.429388 loss_dfl: 0.402075 loss: 1.756912 eta: 6:06:54 batch_cost: 0.9512 data_cost: 0.1020 ips: 58.8760 images/s [03/19 03:55:49] ppdet.engine INFO: Epoch: [254] [400/523] learning_rate: 0.015474 loss_vfl: 0.972926 loss_bbox: 0.448414 loss_dfl: 0.417979 loss: 1.813048 eta: 6:06:35 batch_cost: 0.9059 data_cost: 0.0756 ips: 61.8183 images/s [03/19 03:56:12] ppdet.engine INFO: Epoch: [254] [420/523] learning_rate: 0.015448 loss_vfl: 0.972027 loss_bbox: 0.453871 loss_dfl: 0.418796 loss: 1.839051 eta: 6:06:17 batch_cost: 0.9851 data_cost: 0.1944 ips: 56.8478 images/s [03/19 03:56:31] ppdet.engine INFO: Epoch: [254] [440/523] learning_rate: 0.015423 loss_vfl: 1.026897 loss_bbox: 0.449059 loss_dfl: 0.433203 loss: 1.909708 eta: 6:05:57 batch_cost: 0.7920 data_cost: 0.0664 ips: 70.7104 images/s [03/19 03:56:53] ppdet.engine INFO: Epoch: [254] [460/523] learning_rate: 0.015397 loss_vfl: 0.956266 loss_bbox: 0.427816 loss_dfl: 0.413620 loss: 1.769223 eta: 6:05:39 batch_cost: 0.9515 data_cost: 0.0998 ips: 58.8542 images/s [03/19 03:57:14] ppdet.engine INFO: Epoch: [254] [480/523] learning_rate: 0.015371 loss_vfl: 1.021451 loss_bbox: 0.451144 loss_dfl: 0.427657 loss: 1.893920 eta: 6:05:20 batch_cost: 0.9130 data_cost: 0.0659 ips: 61.3333 images/s [03/19 03:57:35] ppdet.engine INFO: Epoch: [254] [500/523] learning_rate: 0.015346 loss_vfl: 0.958730 loss_bbox: 0.431480 loss_dfl: 0.411153 loss: 1.809687 eta: 6:05:02 batch_cost: 0.9079 data_cost: 0.0643 ips: 61.6816 images/s [03/19 03:57:49] ppdet.engine INFO: Epoch: [254] [520/523] learning_rate: 0.015320 loss_vfl: 0.955844 loss_bbox: 0.430456 loss_dfl: 0.411395 loss: 1.830657 eta: 6:04:42 batch_cost: 0.6287 data_cost: 0.0016 ips: 89.0783 images/s [03/19 03:58:00] ppdet.engine INFO: Epoch: [255] [ 0/523] learning_rate: 0.015317 loss_vfl: 1.015801 loss_bbox: 0.459525 loss_dfl: 0.428472 loss: 1.886802 eta: 6:04:40 batch_cost: 1.0128 data_cost: 0.2882 ips: 55.2923 images/s [03/19 03:58:22] ppdet.engine INFO: Epoch: [255] [ 20/523] learning_rate: 0.015291 loss_vfl: 0.981016 loss_bbox: 0.445293 loss_dfl: 0.415081 loss: 1.863565 eta: 6:04:22 batch_cost: 0.9268 data_cost: 0.0004 ips: 60.4234 images/s [03/19 03:58:43] ppdet.engine INFO: Epoch: [255] [ 40/523] learning_rate: 0.015265 loss_vfl: 0.919706 loss_bbox: 0.401645 loss_dfl: 0.392889 loss: 1.744794 eta: 6:04:03 batch_cost: 0.9020 data_cost: 0.0151 ips: 62.0842 images/s [03/19 03:59:03] ppdet.engine INFO: Epoch: [255] [ 60/523] learning_rate: 0.015240 loss_vfl: 0.947196 loss_bbox: 0.434201 loss_dfl: 0.414570 loss: 1.800375 eta: 6:03:44 batch_cost: 0.9229 data_cost: 0.0052 ips: 60.6800 images/s [03/19 03:59:24] ppdet.engine INFO: Epoch: [255] [ 80/523] learning_rate: 0.015214 loss_vfl: 0.979318 loss_bbox: 0.433870 loss_dfl: 0.413200 loss: 1.808352 eta: 6:03:26 batch_cost: 0.9144 data_cost: 0.0060 ips: 61.2420 images/s [03/19 03:59:44] ppdet.engine INFO: Epoch: [255] [100/523] learning_rate: 0.015189 loss_vfl: 0.984822 loss_bbox: 0.438302 loss_dfl: 0.417810 loss: 1.827941 eta: 6:03:07 batch_cost: 0.8996 data_cost: 0.0039 ips: 62.2533 images/s [03/19 04:00:07] ppdet.engine INFO: Epoch: [255] [120/523] learning_rate: 0.015164 loss_vfl: 0.970395 loss_bbox: 0.437844 loss_dfl: 0.414257 loss: 1.829213 eta: 6:02:49 batch_cost: 1.0387 data_cost: 0.0038 ips: 53.9129 images/s [03/19 04:00:28] ppdet.engine INFO: Epoch: [255] [140/523] learning_rate: 0.015138 loss_vfl: 1.005155 loss_bbox: 0.454082 loss_dfl: 0.427215 loss: 1.899897 eta: 6:02:30 batch_cost: 0.8872 data_cost: 0.0014 ips: 63.1205 images/s [03/19 04:00:48] ppdet.engine INFO: Epoch: [255] [160/523] learning_rate: 0.015113 loss_vfl: 0.990959 loss_bbox: 0.443626 loss_dfl: 0.425329 loss: 1.878979 eta: 6:02:11 batch_cost: 0.8946 data_cost: 0.0071 ips: 62.6009 images/s [03/19 04:01:08] ppdet.engine INFO: Epoch: [255] [180/523] learning_rate: 0.015087 loss_vfl: 1.016246 loss_bbox: 0.444789 loss_dfl: 0.426805 loss: 1.903939 eta: 6:01:53 batch_cost: 0.8695 data_cost: 0.0024 ips: 64.4077 images/s [03/19 04:01:29] ppdet.engine INFO: Epoch: [255] [200/523] learning_rate: 0.015062 loss_vfl: 0.967210 loss_bbox: 0.413977 loss_dfl: 0.391455 loss: 1.763654 eta: 6:01:34 batch_cost: 0.8890 data_cost: 0.0053 ips: 62.9956 images/s [03/19 04:01:49] ppdet.engine INFO: Epoch: [255] [220/523] learning_rate: 0.015037 loss_vfl: 0.987523 loss_bbox: 0.460478 loss_dfl: 0.428049 loss: 1.884104 eta: 6:01:15 batch_cost: 0.8749 data_cost: 0.0026 ips: 64.0083 images/s [03/19 04:02:10] ppdet.engine INFO: Epoch: [255] [240/523] learning_rate: 0.015011 loss_vfl: 0.975876 loss_bbox: 0.433778 loss_dfl: 0.408129 loss: 1.791090 eta: 6:00:57 batch_cost: 0.9359 data_cost: 0.0080 ips: 59.8375 images/s [03/19 04:02:29] ppdet.engine INFO: Epoch: [255] [260/523] learning_rate: 0.014986 loss_vfl: 0.972094 loss_bbox: 0.426946 loss_dfl: 0.417486 loss: 1.804707 eta: 6:00:38 batch_cost: 0.8275 data_cost: 0.0016 ips: 67.6776 images/s [03/19 04:02:47] ppdet.engine INFO: Epoch: [255] [280/523] learning_rate: 0.014961 loss_vfl: 1.022403 loss_bbox: 0.457774 loss_dfl: 0.431603 loss: 1.910390 eta: 6:00:19 batch_cost: 0.8039 data_cost: 0.0025 ips: 69.6569 images/s [03/19 04:03:07] ppdet.engine INFO: Epoch: [255] [300/523] learning_rate: 0.014936 loss_vfl: 0.942051 loss_bbox: 0.411290 loss_dfl: 0.399201 loss: 1.737412 eta: 6:00:00 batch_cost: 0.9111 data_cost: 0.0031 ips: 61.4622 images/s [03/19 04:03:27] ppdet.engine INFO: Epoch: [255] [320/523] learning_rate: 0.014910 loss_vfl: 1.024235 loss_bbox: 0.443670 loss_dfl: 0.432880 loss: 1.912226 eta: 5:59:41 batch_cost: 0.9016 data_cost: 0.0025 ips: 62.1092 images/s [03/19 04:03:48] ppdet.engine INFO: Epoch: [255] [340/523] learning_rate: 0.014885 loss_vfl: 0.997639 loss_bbox: 0.421649 loss_dfl: 0.409153 loss: 1.817149 eta: 5:59:23 batch_cost: 0.9097 data_cost: 0.0064 ips: 61.5619 images/s [03/19 04:04:10] ppdet.engine INFO: Epoch: [255] [360/523] learning_rate: 0.014860 loss_vfl: 1.020503 loss_bbox: 0.458500 loss_dfl: 0.428071 loss: 1.893264 eta: 5:59:04 batch_cost: 0.9524 data_cost: 0.0069 ips: 58.8003 images/s [03/19 04:04:30] ppdet.engine INFO: Epoch: [255] [380/523] learning_rate: 0.014835 loss_vfl: 0.973955 loss_bbox: 0.421915 loss_dfl: 0.400770 loss: 1.772570 eta: 5:58:45 batch_cost: 0.8896 data_cost: 0.0014 ips: 62.9524 images/s [03/19 04:04:52] ppdet.engine INFO: Epoch: [255] [400/523] learning_rate: 0.014810 loss_vfl: 1.011392 loss_bbox: 0.443939 loss_dfl: 0.426115 loss: 1.873203 eta: 5:58:27 batch_cost: 0.9684 data_cost: 0.0102 ips: 57.8273 images/s [03/19 04:05:14] ppdet.engine INFO: Epoch: [255] [420/523] learning_rate: 0.014784 loss_vfl: 1.008668 loss_bbox: 0.417861 loss_dfl: 0.411556 loss: 1.848312 eta: 5:58:08 batch_cost: 0.9373 data_cost: 0.0060 ips: 59.7452 images/s [03/19 04:05:33] ppdet.engine INFO: Epoch: [255] [440/523] learning_rate: 0.014759 loss_vfl: 0.957157 loss_bbox: 0.418107 loss_dfl: 0.399255 loss: 1.776580 eta: 5:57:50 batch_cost: 0.8926 data_cost: 0.0032 ips: 62.7378 images/s [03/19 04:05:55] ppdet.engine INFO: Epoch: [255] [460/523] learning_rate: 0.014734 loss_vfl: 0.939380 loss_bbox: 0.422540 loss_dfl: 0.398859 loss: 1.778539 eta: 5:57:31 batch_cost: 0.9879 data_cost: 0.0029 ips: 56.6863 images/s [03/19 04:06:15] ppdet.engine INFO: Epoch: [255] [480/523] learning_rate: 0.014709 loss_vfl: 1.020535 loss_bbox: 0.457469 loss_dfl: 0.436030 loss: 1.937074 eta: 5:57:12 batch_cost: 0.8534 data_cost: 0.0080 ips: 65.6178 images/s [03/19 04:06:35] ppdet.engine INFO: Epoch: [255] [500/523] learning_rate: 0.014684 loss_vfl: 0.948323 loss_bbox: 0.429256 loss_dfl: 0.408374 loss: 1.784140 eta: 5:56:54 batch_cost: 0.8991 data_cost: 0.0044 ips: 62.2863 images/s [03/19 04:06:53] ppdet.engine INFO: Epoch: [255] [520/523] learning_rate: 0.014659 loss_vfl: 0.990237 loss_bbox: 0.444589 loss_dfl: 0.410206 loss: 1.853519 eta: 5:56:35 batch_cost: 0.8366 data_cost: 0.0036 ips: 66.9398 images/s [03/19 04:07:04] ppdet.engine INFO: Epoch: [256] [ 0/523] learning_rate: 0.014655 loss_vfl: 0.967482 loss_bbox: 0.412492 loss_dfl: 0.396959 loss: 1.754036 eta: 5:56:33 batch_cost: 1.1772 data_cost: 0.3260 ips: 47.5718 images/s [03/19 04:07:24] ppdet.engine INFO: Epoch: [256] [ 20/523] learning_rate: 0.014630 loss_vfl: 0.950240 loss_bbox: 0.428770 loss_dfl: 0.406525 loss: 1.797256 eta: 5:56:14 batch_cost: 0.8118 data_cost: 0.0056 ips: 68.9784 images/s [03/19 04:07:43] ppdet.engine INFO: Epoch: [256] [ 40/523] learning_rate: 0.014605 loss_vfl: 0.974338 loss_bbox: 0.426664 loss_dfl: 0.405253 loss: 1.814223 eta: 5:55:55 batch_cost: 0.8479 data_cost: 0.0030 ips: 66.0422 images/s [03/19 04:08:02] ppdet.engine INFO: Epoch: [256] [ 60/523] learning_rate: 0.014580 loss_vfl: 0.989602 loss_bbox: 0.456874 loss_dfl: 0.430778 loss: 1.861982 eta: 5:55:36 batch_cost: 0.8150 data_cost: 0.0046 ips: 68.7096 images/s [03/19 04:08:24] ppdet.engine INFO: Epoch: [256] [ 80/523] learning_rate: 0.014555 loss_vfl: 0.971351 loss_bbox: 0.418297 loss_dfl: 0.419793 loss: 1.831742 eta: 5:55:18 batch_cost: 0.9759 data_cost: 0.0070 ips: 57.3803 images/s [03/19 04:08:46] ppdet.engine INFO: Epoch: [256] [100/523] learning_rate: 0.014531 loss_vfl: 0.995606 loss_bbox: 0.446206 loss_dfl: 0.433188 loss: 1.872910 eta: 5:54:59 batch_cost: 0.9519 data_cost: 0.0046 ips: 58.8273 images/s [03/19 04:09:06] ppdet.engine INFO: Epoch: [256] [120/523] learning_rate: 0.014506 loss_vfl: 1.039691 loss_bbox: 0.446871 loss_dfl: 0.443004 loss: 1.930083 eta: 5:54:41 batch_cost: 0.9206 data_cost: 0.0089 ips: 60.8320 images/s [03/19 04:09:28] ppdet.engine INFO: Epoch: [256] [140/523] learning_rate: 0.014481 loss_vfl: 0.981173 loss_bbox: 0.418976 loss_dfl: 0.408330 loss: 1.802621 eta: 5:54:22 batch_cost: 0.9532 data_cost: 0.0049 ips: 58.7468 images/s [03/19 04:09:48] ppdet.engine INFO: Epoch: [256] [160/523] learning_rate: 0.014456 loss_vfl: 0.975737 loss_bbox: 0.441260 loss_dfl: 0.422933 loss: 1.825610 eta: 5:54:03 batch_cost: 0.9051 data_cost: 0.0025 ips: 61.8737 images/s [03/19 04:10:11] ppdet.engine INFO: Epoch: [256] [180/523] learning_rate: 0.014431 loss_vfl: 0.968762 loss_bbox: 0.433358 loss_dfl: 0.416886 loss: 1.802734 eta: 5:53:45 batch_cost: 1.0344 data_cost: 0.0031 ips: 54.1357 images/s [03/19 04:10:31] ppdet.engine INFO: Epoch: [256] [200/523] learning_rate: 0.014406 loss_vfl: 0.985464 loss_bbox: 0.421366 loss_dfl: 0.416462 loss: 1.845410 eta: 5:53:27 batch_cost: 0.9357 data_cost: 0.0058 ips: 59.8496 images/s [03/19 04:10:54] ppdet.engine INFO: Epoch: [256] [220/523] learning_rate: 0.014381 loss_vfl: 0.971584 loss_bbox: 0.439521 loss_dfl: 0.410716 loss: 1.814670 eta: 5:53:08 batch_cost: 1.0153 data_cost: 0.0042 ips: 55.1547 images/s [03/19 04:11:14] ppdet.engine INFO: Epoch: [256] [240/523] learning_rate: 0.014357 loss_vfl: 1.009188 loss_bbox: 0.450898 loss_dfl: 0.428721 loss: 1.910172 eta: 5:52:50 batch_cost: 0.9018 data_cost: 0.0010 ips: 62.0957 images/s [03/19 04:11:35] ppdet.engine INFO: Epoch: [256] [260/523] learning_rate: 0.014332 loss_vfl: 0.960835 loss_bbox: 0.438808 loss_dfl: 0.417931 loss: 1.812347 eta: 5:52:31 batch_cost: 0.8505 data_cost: 0.0023 ips: 65.8438 images/s [03/19 04:11:58] ppdet.engine INFO: Epoch: [256] [280/523] learning_rate: 0.014307 loss_vfl: 1.004406 loss_bbox: 0.443728 loss_dfl: 0.426254 loss: 1.883315 eta: 5:52:13 batch_cost: 1.0331 data_cost: 0.0123 ips: 54.2061 images/s [03/19 04:12:16] ppdet.engine INFO: Epoch: [256] [300/523] learning_rate: 0.014282 loss_vfl: 0.970773 loss_bbox: 0.437947 loss_dfl: 0.417867 loss: 1.820946 eta: 5:51:54 batch_cost: 0.8156 data_cost: 0.0026 ips: 68.6646 images/s [03/19 04:12:35] ppdet.engine INFO: Epoch: [256] [320/523] learning_rate: 0.014258 loss_vfl: 1.025625 loss_bbox: 0.473240 loss_dfl: 0.437764 loss: 1.991722 eta: 5:51:35 batch_cost: 0.9157 data_cost: 0.0012 ips: 61.1530 images/s [03/19 04:12:55] ppdet.engine INFO: Epoch: [256] [340/523] learning_rate: 0.014233 loss_vfl: 0.965074 loss_bbox: 0.423575 loss_dfl: 0.407801 loss: 1.798484 eta: 5:51:16 batch_cost: 0.8516 data_cost: 0.0024 ips: 65.7588 images/s [03/19 04:13:14] ppdet.engine INFO: Epoch: [256] [360/523] learning_rate: 0.014208 loss_vfl: 1.032990 loss_bbox: 0.444541 loss_dfl: 0.426228 loss: 1.886370 eta: 5:50:57 batch_cost: 0.9227 data_cost: 0.0025 ips: 60.6897 images/s [03/19 04:13:38] ppdet.engine INFO: Epoch: [256] [380/523] learning_rate: 0.014184 loss_vfl: 0.932550 loss_bbox: 0.408650 loss_dfl: 0.392076 loss: 1.726208 eta: 5:50:39 batch_cost: 1.0698 data_cost: 0.0051 ips: 52.3448 images/s [03/19 04:14:00] ppdet.engine INFO: Epoch: [256] [400/523] learning_rate: 0.014159 loss_vfl: 0.973032 loss_bbox: 0.435517 loss_dfl: 0.408678 loss: 1.824036 eta: 5:50:21 batch_cost: 0.9900 data_cost: 0.0040 ips: 56.5632 images/s [03/19 04:14:22] ppdet.engine INFO: Epoch: [256] [420/523] learning_rate: 0.014134 loss_vfl: 0.952863 loss_bbox: 0.418838 loss_dfl: 0.408671 loss: 1.750917 eta: 5:50:03 batch_cost: 1.0228 data_cost: 0.0084 ips: 54.7503 images/s [03/19 04:14:42] ppdet.engine INFO: Epoch: [256] [440/523] learning_rate: 0.014110 loss_vfl: 1.059875 loss_bbox: 0.481840 loss_dfl: 0.455822 loss: 2.008540 eta: 5:49:44 batch_cost: 0.8792 data_cost: 0.0098 ips: 63.6945 images/s [03/19 04:15:03] ppdet.engine INFO: Epoch: [256] [460/523] learning_rate: 0.014085 loss_vfl: 0.990319 loss_bbox: 0.449125 loss_dfl: 0.421269 loss: 1.857122 eta: 5:49:25 batch_cost: 0.9699 data_cost: 0.0055 ips: 57.7405 images/s [03/19 04:15:25] ppdet.engine INFO: Epoch: [256] [480/523] learning_rate: 0.014061 loss_vfl: 0.984887 loss_bbox: 0.441714 loss_dfl: 0.415438 loss: 1.835108 eta: 5:49:07 batch_cost: 0.9697 data_cost: 0.0035 ips: 57.7475 images/s [03/19 04:15:46] ppdet.engine INFO: Epoch: [256] [500/523] learning_rate: 0.014036 loss_vfl: 0.975207 loss_bbox: 0.434801 loss_dfl: 0.411346 loss: 1.803173 eta: 5:48:48 batch_cost: 0.9322 data_cost: 0.0020 ips: 60.0730 images/s [03/19 04:16:03] ppdet.engine INFO: Epoch: [256] [520/523] learning_rate: 0.014012 loss_vfl: 0.933977 loss_bbox: 0.418439 loss_dfl: 0.404254 loss: 1.758829 eta: 5:48:29 batch_cost: 0.7379 data_cost: 0.0015 ips: 75.8921 images/s [03/19 04:16:15] ppdet.engine INFO: Epoch: [257] [ 0/523] learning_rate: 0.014008 loss_vfl: 0.940811 loss_bbox: 0.418439 loss_dfl: 0.404254 loss: 1.764811 eta: 5:48:28 batch_cost: 1.1907 data_cost: 0.3657 ips: 47.0314 images/s [03/19 04:16:36] ppdet.engine INFO: Epoch: [257] [ 20/523] learning_rate: 0.013984 loss_vfl: 0.987723 loss_bbox: 0.432936 loss_dfl: 0.413035 loss: 1.838123 eta: 5:48:09 batch_cost: 0.9241 data_cost: 0.0050 ips: 60.6021 images/s [03/19 04:16:56] ppdet.engine INFO: Epoch: [257] [ 40/523] learning_rate: 0.013959 loss_vfl: 0.994300 loss_bbox: 0.465979 loss_dfl: 0.429614 loss: 1.892028 eta: 5:47:50 batch_cost: 0.8880 data_cost: 0.0072 ips: 63.0666 images/s [03/19 04:17:15] ppdet.engine INFO: Epoch: [257] [ 60/523] learning_rate: 0.013935 loss_vfl: 0.978642 loss_bbox: 0.431754 loss_dfl: 0.412568 loss: 1.810260 eta: 5:47:32 batch_cost: 0.8674 data_cost: 0.0012 ips: 64.5614 images/s [03/19 04:17:36] ppdet.engine INFO: Epoch: [257] [ 80/523] learning_rate: 0.013910 loss_vfl: 1.047792 loss_bbox: 0.458583 loss_dfl: 0.431558 loss: 1.931899 eta: 5:47:13 batch_cost: 0.9341 data_cost: 0.0022 ips: 59.9487 images/s [03/19 04:17:59] ppdet.engine INFO: Epoch: [257] [100/523] learning_rate: 0.013886 loss_vfl: 0.955237 loss_bbox: 0.403122 loss_dfl: 0.402121 loss: 1.764124 eta: 5:46:55 batch_cost: 1.0474 data_cost: 0.0009 ips: 53.4678 images/s [03/19 04:18:21] ppdet.engine INFO: Epoch: [257] [120/523] learning_rate: 0.013861 loss_vfl: 0.947997 loss_bbox: 0.434053 loss_dfl: 0.417040 loss: 1.785614 eta: 5:46:37 batch_cost: 1.0061 data_cost: 0.0011 ips: 55.6582 images/s [03/19 04:18:44] ppdet.engine INFO: Epoch: [257] [140/523] learning_rate: 0.013837 loss_vfl: 0.936501 loss_bbox: 0.405972 loss_dfl: 0.392687 loss: 1.721432 eta: 5:46:18 batch_cost: 1.0142 data_cost: 0.0009 ips: 55.2176 images/s [03/19 04:19:07] ppdet.engine INFO: Epoch: [257] [160/523] learning_rate: 0.013813 loss_vfl: 0.971256 loss_bbox: 0.462027 loss_dfl: 0.421832 loss: 1.862240 eta: 5:46:00 batch_cost: 1.0824 data_cost: 0.0029 ips: 51.7389 images/s [03/19 04:19:29] ppdet.engine INFO: Epoch: [257] [180/523] learning_rate: 0.013788 loss_vfl: 0.971121 loss_bbox: 0.441963 loss_dfl: 0.423737 loss: 1.835687 eta: 5:45:42 batch_cost: 0.9893 data_cost: 0.0018 ips: 56.6049 images/s [03/19 04:19:52] ppdet.engine INFO: Epoch: [257] [200/523] learning_rate: 0.013764 loss_vfl: 0.961931 loss_bbox: 0.446166 loss_dfl: 0.410552 loss: 1.827580 eta: 5:45:24 batch_cost: 1.0455 data_cost: 0.0029 ips: 53.5627 images/s [03/19 04:20:16] ppdet.engine INFO: Epoch: [257] [220/523] learning_rate: 0.013740 loss_vfl: 0.960164 loss_bbox: 0.415468 loss_dfl: 0.406018 loss: 1.780272 eta: 5:45:05 batch_cost: 1.0883 data_cost: 0.0041 ips: 51.4561 images/s [03/19 04:20:35] ppdet.engine INFO: Epoch: [257] [240/523] learning_rate: 0.013716 loss_vfl: 1.009659 loss_bbox: 0.434528 loss_dfl: 0.421392 loss: 1.898607 eta: 5:44:47 batch_cost: 0.8370 data_cost: 0.0019 ips: 66.9070 images/s [03/19 04:20:56] ppdet.engine INFO: Epoch: [257] [260/523] learning_rate: 0.013691 loss_vfl: 0.987884 loss_bbox: 0.437157 loss_dfl: 0.429258 loss: 1.852625 eta: 5:44:28 batch_cost: 0.9455 data_cost: 0.0013 ips: 59.2292 images/s [03/19 04:21:20] ppdet.engine INFO: Epoch: [257] [280/523] learning_rate: 0.013667 loss_vfl: 0.981299 loss_bbox: 0.434254 loss_dfl: 0.413917 loss: 1.809335 eta: 5:44:10 batch_cost: 1.0409 data_cost: 0.0006 ips: 53.7995 images/s [03/19 04:21:40] ppdet.engine INFO: Epoch: [257] [300/523] learning_rate: 0.013643 loss_vfl: 1.046438 loss_bbox: 0.443567 loss_dfl: 0.428131 loss: 1.912385 eta: 5:43:51 batch_cost: 0.9172 data_cost: 0.0018 ips: 61.0580 images/s [03/19 04:21:57] ppdet.engine INFO: Epoch: [257] [320/523] learning_rate: 0.013619 loss_vfl: 0.967943 loss_bbox: 0.429056 loss_dfl: 0.410384 loss: 1.814853 eta: 5:43:32 batch_cost: 0.7625 data_cost: 0.0018 ips: 73.4445 images/s [03/19 04:22:16] ppdet.engine INFO: Epoch: [257] [340/523] learning_rate: 0.013595 loss_vfl: 0.980471 loss_bbox: 0.423639 loss_dfl: 0.412388 loss: 1.806035 eta: 5:43:13 batch_cost: 0.8232 data_cost: 0.0044 ips: 68.0249 images/s [03/19 04:22:38] ppdet.engine INFO: Epoch: [257] [360/523] learning_rate: 0.013570 loss_vfl: 1.026086 loss_bbox: 0.468470 loss_dfl: 0.436733 loss: 1.920846 eta: 5:42:55 batch_cost: 1.0109 data_cost: 0.0091 ips: 55.3976 images/s [03/19 04:23:00] ppdet.engine INFO: Epoch: [257] [380/523] learning_rate: 0.013546 loss_vfl: 1.012812 loss_bbox: 0.453181 loss_dfl: 0.428118 loss: 1.907474 eta: 5:42:36 batch_cost: 1.0355 data_cost: 0.0028 ips: 54.0796 images/s [03/19 04:23:23] ppdet.engine INFO: Epoch: [257] [400/523] learning_rate: 0.013522 loss_vfl: 0.985314 loss_bbox: 0.442729 loss_dfl: 0.423913 loss: 1.839193 eta: 5:42:18 batch_cost: 1.0267 data_cost: 0.0031 ips: 54.5453 images/s [03/19 04:23:45] ppdet.engine INFO: Epoch: [257] [420/523] learning_rate: 0.013498 loss_vfl: 0.955961 loss_bbox: 0.441370 loss_dfl: 0.407698 loss: 1.798261 eta: 5:42:00 batch_cost: 1.0245 data_cost: 0.0030 ips: 54.6594 images/s [03/19 04:24:07] ppdet.engine INFO: Epoch: [257] [440/523] learning_rate: 0.013474 loss_vfl: 1.020947 loss_bbox: 0.437491 loss_dfl: 0.420504 loss: 1.859963 eta: 5:41:41 batch_cost: 0.9839 data_cost: 0.0030 ips: 56.9154 images/s [03/19 04:24:29] ppdet.engine INFO: Epoch: [257] [460/523] learning_rate: 0.013450 loss_vfl: 0.989734 loss_bbox: 0.428081 loss_dfl: 0.413442 loss: 1.798050 eta: 5:41:23 batch_cost: 0.9690 data_cost: 0.0012 ips: 57.7893 images/s [03/19 04:24:53] ppdet.engine INFO: Epoch: [257] [480/523] learning_rate: 0.013426 loss_vfl: 0.982675 loss_bbox: 0.445309 loss_dfl: 0.413265 loss: 1.820528 eta: 5:41:05 batch_cost: 1.1115 data_cost: 0.0020 ips: 50.3834 images/s [03/19 04:25:14] ppdet.engine INFO: Epoch: [257] [500/523] learning_rate: 0.013402 loss_vfl: 0.981884 loss_bbox: 0.437898 loss_dfl: 0.409301 loss: 1.817554 eta: 5:40:46 batch_cost: 0.9572 data_cost: 0.0017 ips: 58.5015 images/s [03/19 04:25:31] ppdet.engine INFO: Epoch: [257] [520/523] learning_rate: 0.013378 loss_vfl: 1.000022 loss_bbox: 0.437046 loss_dfl: 0.425066 loss: 1.906088 eta: 5:40:27 batch_cost: 0.7989 data_cost: 0.0045 ips: 70.0988 images/s [03/19 04:25:44] ppdet.engine INFO: Epoch: [258] [ 0/523] learning_rate: 0.013374 loss_vfl: 0.975713 loss_bbox: 0.433766 loss_dfl: 0.417626 loss: 1.835943 eta: 5:40:26 batch_cost: 1.2142 data_cost: 0.4087 ips: 46.1206 images/s [03/19 04:26:06] ppdet.engine INFO: Epoch: [258] [ 20/523] learning_rate: 0.013351 loss_vfl: 0.978011 loss_bbox: 0.425277 loss_dfl: 0.406081 loss: 1.814333 eta: 5:40:08 batch_cost: 0.9640 data_cost: 0.0046 ips: 58.0931 images/s [03/19 04:26:25] ppdet.engine INFO: Epoch: [258] [ 40/523] learning_rate: 0.013327 loss_vfl: 1.009669 loss_bbox: 0.438422 loss_dfl: 0.414106 loss: 1.852247 eta: 5:39:49 batch_cost: 0.8740 data_cost: 0.0011 ips: 64.0739 images/s [03/19 04:26:43] ppdet.engine INFO: Epoch: [258] [ 60/523] learning_rate: 0.013303 loss_vfl: 0.995993 loss_bbox: 0.426719 loss_dfl: 0.422297 loss: 1.864922 eta: 5:39:30 batch_cost: 0.8260 data_cost: 0.0026 ips: 67.7966 images/s [03/19 04:27:04] ppdet.engine INFO: Epoch: [258] [ 80/523] learning_rate: 0.013279 loss_vfl: 0.957256 loss_bbox: 0.439678 loss_dfl: 0.412028 loss: 1.817393 eta: 5:39:11 batch_cost: 0.9518 data_cost: 0.0098 ips: 58.8366 images/s [03/19 04:27:26] ppdet.engine INFO: Epoch: [258] [100/523] learning_rate: 0.013255 loss_vfl: 1.002168 loss_bbox: 0.438448 loss_dfl: 0.402560 loss: 1.832832 eta: 5:38:53 batch_cost: 0.9436 data_cost: 0.0020 ips: 59.3441 images/s [03/19 04:27:48] ppdet.engine INFO: Epoch: [258] [120/523] learning_rate: 0.013231 loss_vfl: 0.989181 loss_bbox: 0.460992 loss_dfl: 0.424065 loss: 1.885094 eta: 5:38:34 batch_cost: 1.0137 data_cost: 0.0054 ips: 55.2421 images/s [03/19 04:28:11] ppdet.engine INFO: Epoch: [258] [140/523] learning_rate: 0.013207 loss_vfl: 0.945152 loss_bbox: 0.424235 loss_dfl: 0.410315 loss: 1.778575 eta: 5:38:16 batch_cost: 1.0655 data_cost: 0.0068 ips: 52.5599 images/s [03/19 04:28:31] ppdet.engine INFO: Epoch: [258] [160/523] learning_rate: 0.013183 loss_vfl: 1.010081 loss_bbox: 0.446062 loss_dfl: 0.431836 loss: 1.894131 eta: 5:37:58 batch_cost: 0.9158 data_cost: 0.0033 ips: 61.1455 images/s [03/19 04:28:53] ppdet.engine INFO: Epoch: [258] [180/523] learning_rate: 0.013160 loss_vfl: 0.993413 loss_bbox: 0.445472 loss_dfl: 0.424019 loss: 1.875090 eta: 5:37:39 batch_cost: 0.9973 data_cost: 0.0026 ips: 56.1535 images/s [03/19 04:29:14] ppdet.engine INFO: Epoch: [258] [200/523] learning_rate: 0.013136 loss_vfl: 1.033802 loss_bbox: 0.451368 loss_dfl: 0.433974 loss: 1.919545 eta: 5:37:21 batch_cost: 1.0076 data_cost: 0.0035 ips: 55.5751 images/s [03/19 04:29:37] ppdet.engine INFO: Epoch: [258] 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0.410053 loss: 1.807295 eta: 5:35:48 batch_cost: 0.8412 data_cost: 0.0060 ips: 66.5744 images/s [03/19 04:31:17] ppdet.engine INFO: Epoch: [258] [320/523] learning_rate: 0.012994 loss_vfl: 0.977130 loss_bbox: 0.421506 loss_dfl: 0.403572 loss: 1.784753 eta: 5:35:29 batch_cost: 0.7448 data_cost: 0.0048 ips: 75.1913 images/s [03/19 04:31:38] ppdet.engine INFO: Epoch: [258] [340/523] learning_rate: 0.012970 loss_vfl: 0.954103 loss_bbox: 0.432852 loss_dfl: 0.416012 loss: 1.800597 eta: 5:35:11 batch_cost: 0.9383 data_cost: 0.0027 ips: 59.6811 images/s [03/19 04:31:59] ppdet.engine INFO: Epoch: [258] [360/523] learning_rate: 0.012947 loss_vfl: 0.980247 loss_bbox: 0.427315 loss_dfl: 0.417323 loss: 1.839222 eta: 5:34:52 batch_cost: 0.9786 data_cost: 0.0021 ips: 57.2242 images/s [03/19 04:32:21] ppdet.engine INFO: Epoch: [258] [380/523] learning_rate: 0.012923 loss_vfl: 0.970992 loss_bbox: 0.436468 loss_dfl: 0.410236 loss: 1.796636 eta: 5:34:33 batch_cost: 0.9276 data_cost: 0.0023 ips: 60.3687 images/s [03/19 04:32:44] ppdet.engine INFO: Epoch: [258] [400/523] learning_rate: 0.012899 loss_vfl: 1.014840 loss_bbox: 0.458906 loss_dfl: 0.432544 loss: 1.927616 eta: 5:34:15 batch_cost: 1.0406 data_cost: 0.0029 ips: 53.8155 images/s [03/19 04:33:04] ppdet.engine INFO: Epoch: [258] [420/523] learning_rate: 0.012876 loss_vfl: 0.969253 loss_bbox: 0.431273 loss_dfl: 0.412022 loss: 1.797696 eta: 5:33:57 batch_cost: 0.9178 data_cost: 0.0044 ips: 61.0181 images/s [03/19 04:33:27] ppdet.engine INFO: Epoch: [258] [440/523] learning_rate: 0.012852 loss_vfl: 0.974678 loss_bbox: 0.419376 loss_dfl: 0.411546 loss: 1.800429 eta: 5:33:38 batch_cost: 1.0272 data_cost: 0.0050 ips: 54.5186 images/s [03/19 04:33:47] ppdet.engine INFO: Epoch: [258] [460/523] learning_rate: 0.012829 loss_vfl: 0.975702 loss_bbox: 0.428903 loss_dfl: 0.416353 loss: 1.816200 eta: 5:33:20 batch_cost: 0.9458 data_cost: 0.0038 ips: 59.2084 images/s [03/19 04:34:10] ppdet.engine INFO: Epoch: [258] [480/523] learning_rate: 0.012805 loss_vfl: 0.961085 loss_bbox: 0.420150 loss_dfl: 0.398130 loss: 1.767551 eta: 5:33:02 batch_cost: 1.0687 data_cost: 0.0025 ips: 52.4012 images/s [03/19 04:34:32] ppdet.engine INFO: Epoch: [258] [500/523] learning_rate: 0.012782 loss_vfl: 0.997956 loss_bbox: 0.442754 loss_dfl: 0.430025 loss: 1.869552 eta: 5:32:43 batch_cost: 1.0009 data_cost: 0.0034 ips: 55.9480 images/s [03/19 04:34:49] ppdet.engine INFO: Epoch: [258] [520/523] learning_rate: 0.012758 loss_vfl: 0.985353 loss_bbox: 0.427879 loss_dfl: 0.410100 loss: 1.817668 eta: 5:32:24 batch_cost: 0.7249 data_cost: 0.0021 ips: 77.2497 images/s [03/19 04:35:00] ppdet.engine INFO: Epoch: [259] [ 0/523] learning_rate: 0.012755 loss_vfl: 0.983298 loss_bbox: 0.426112 loss_dfl: 0.408091 loss: 1.791441 eta: 5:32:22 batch_cost: 1.1123 data_cost: 0.2870 ips: 50.3475 images/s [03/19 04:35:24] ppdet.engine INFO: Epoch: [259] [ 20/523] learning_rate: 0.012732 loss_vfl: 0.934376 loss_bbox: 0.437510 loss_dfl: 0.412994 loss: 1.767553 eta: 5:32:04 batch_cost: 1.0830 data_cost: 0.0825 ips: 51.7075 images/s [03/19 04:35:42] ppdet.engine INFO: Epoch: [259] [ 40/523] learning_rate: 0.012708 loss_vfl: 1.026483 loss_bbox: 0.455314 loss_dfl: 0.436706 loss: 1.967235 eta: 5:31:45 batch_cost: 0.7822 data_cost: 0.0018 ips: 71.5935 images/s [03/19 04:36:02] ppdet.engine INFO: Epoch: [259] [ 60/523] learning_rate: 0.012685 loss_vfl: 0.964779 loss_bbox: 0.446114 loss_dfl: 0.418065 loss: 1.829883 eta: 5:31:26 batch_cost: 0.9307 data_cost: 0.0030 ips: 60.1719 images/s [03/19 04:36:24] ppdet.engine INFO: Epoch: [259] [ 80/523] learning_rate: 0.012661 loss_vfl: 1.000460 loss_bbox: 0.422406 loss_dfl: 0.416683 loss: 1.833505 eta: 5:31:08 batch_cost: 0.9892 data_cost: 0.0033 ips: 56.6113 images/s [03/19 04:36:45] ppdet.engine INFO: Epoch: [259] [100/523] learning_rate: 0.012638 loss_vfl: 0.958003 loss_bbox: 0.421187 loss_dfl: 0.402939 loss: 1.770331 eta: 5:30:50 batch_cost: 0.9617 data_cost: 0.0046 ips: 58.2281 images/s [03/19 04:37:09] ppdet.engine INFO: Epoch: [259] [120/523] learning_rate: 0.012615 loss_vfl: 1.008636 loss_bbox: 0.420995 loss_dfl: 0.416659 loss: 1.883464 eta: 5:30:31 batch_cost: 1.0927 data_cost: 0.0013 ips: 51.2486 images/s [03/19 04:37:32] ppdet.engine INFO: Epoch: [259] [140/523] learning_rate: 0.012591 loss_vfl: 1.003233 loss_bbox: 0.420827 loss_dfl: 0.404998 loss: 1.819835 eta: 5:30:13 batch_cost: 1.0449 data_cost: 0.0021 ips: 53.5945 images/s [03/19 04:37:53] ppdet.engine INFO: Epoch: [259] [160/523] learning_rate: 0.012568 loss_vfl: 1.002978 loss_bbox: 0.425311 loss_dfl: 0.420068 loss: 1.857098 eta: 5:29:55 batch_cost: 0.9782 data_cost: 0.0047 ips: 57.2507 images/s [03/19 04:38:14] ppdet.engine INFO: Epoch: [259] [180/523] learning_rate: 0.012545 loss_vfl: 0.952958 loss_bbox: 0.425824 loss_dfl: 0.413394 loss: 1.782922 eta: 5:29:36 batch_cost: 0.9387 data_cost: 0.0020 ips: 59.6600 images/s [03/19 04:38:38] ppdet.engine INFO: Epoch: [259] [200/523] learning_rate: 0.012522 loss_vfl: 0.913561 loss_bbox: 0.402220 loss_dfl: 0.404980 loss: 1.761197 eta: 5:29:18 batch_cost: 1.0967 data_cost: 0.0037 ips: 51.0643 images/s [03/19 04:39:00] ppdet.engine INFO: Epoch: [259] [220/523] learning_rate: 0.012498 loss_vfl: 1.025072 loss_bbox: 0.439930 loss_dfl: 0.439939 loss: 1.908466 eta: 5:29:00 batch_cost: 0.9780 data_cost: 0.0063 ips: 57.2585 images/s [03/19 04:39:21] ppdet.engine INFO: Epoch: [259] [240/523] learning_rate: 0.012475 loss_vfl: 1.000136 loss_bbox: 0.434052 loss_dfl: 0.415582 loss: 1.830366 eta: 5:28:41 batch_cost: 0.9349 data_cost: 0.0040 ips: 59.8972 images/s [03/19 04:39:43] ppdet.engine INFO: Epoch: [259] [260/523] learning_rate: 0.012452 loss_vfl: 1.026944 loss_bbox: 0.458818 loss_dfl: 0.427802 loss: 1.937411 eta: 5:28:23 batch_cost: 1.0281 data_cost: 0.0012 ips: 54.4706 images/s [03/19 04:40:04] ppdet.engine INFO: Epoch: [259] [280/523] learning_rate: 0.012429 loss_vfl: 0.982385 loss_bbox: 0.450698 loss_dfl: 0.424757 loss: 1.881245 eta: 5:28:04 batch_cost: 0.9467 data_cost: 0.0021 ips: 59.1542 images/s [03/19 04:40:22] ppdet.engine INFO: Epoch: [259] [300/523] learning_rate: 0.012406 loss_vfl: 0.924904 loss_bbox: 0.399234 loss_dfl: 0.382274 loss: 1.698185 eta: 5:27:45 batch_cost: 0.8466 data_cost: 0.0048 ips: 66.1489 images/s [03/19 04:40:42] ppdet.engine INFO: Epoch: [259] [320/523] learning_rate: 0.012383 loss_vfl: 1.030267 loss_bbox: 0.473187 loss_dfl: 0.439928 loss: 1.956501 eta: 5:27:27 batch_cost: 0.8786 data_cost: 0.0010 ips: 63.7386 images/s [03/19 04:41:03] ppdet.engine INFO: Epoch: [259] [340/523] learning_rate: 0.012360 loss_vfl: 0.961031 loss_bbox: 0.434341 loss_dfl: 0.400649 loss: 1.792371 eta: 5:27:08 batch_cost: 0.9339 data_cost: 0.0073 ips: 59.9648 images/s [03/19 04:41:24] ppdet.engine INFO: Epoch: [259] [360/523] learning_rate: 0.012337 loss_vfl: 1.001890 loss_bbox: 0.433398 loss_dfl: 0.412807 loss: 1.846500 eta: 5:26:49 batch_cost: 0.9303 data_cost: 0.0011 ips: 60.1962 images/s [03/19 04:41:47] ppdet.engine INFO: Epoch: [259] [380/523] learning_rate: 0.012314 loss_vfl: 0.968058 loss_bbox: 0.437278 loss_dfl: 0.421387 loss: 1.811322 eta: 5:26:31 batch_cost: 1.0734 data_cost: 0.0031 ips: 52.1722 images/s [03/19 04:42:09] ppdet.engine INFO: Epoch: [259] [400/523] learning_rate: 0.012291 loss_vfl: 1.026363 loss_bbox: 0.475332 loss_dfl: 0.431560 loss: 1.928715 eta: 5:26:13 batch_cost: 1.0288 data_cost: 0.0027 ips: 54.4327 images/s [03/19 04:42:29] ppdet.engine INFO: Epoch: [259] [420/523] learning_rate: 0.012268 loss_vfl: 0.987838 loss_bbox: 0.456639 loss_dfl: 0.429948 loss: 1.867456 eta: 5:25:54 batch_cost: 0.9271 data_cost: 0.0065 ips: 60.4064 images/s [03/19 04:42:53] ppdet.engine INFO: Epoch: [259] [440/523] learning_rate: 0.012245 loss_vfl: 1.013971 loss_bbox: 0.442793 loss_dfl: 0.416185 loss: 1.864447 eta: 5:25:36 batch_cost: 1.1198 data_cost: 0.0018 ips: 50.0097 images/s [03/19 04:43:16] ppdet.engine INFO: Epoch: [259] [460/523] learning_rate: 0.012222 loss_vfl: 1.017266 loss_bbox: 0.443159 loss_dfl: 0.422875 loss: 1.900862 eta: 5:25:18 batch_cost: 1.0886 data_cost: 0.0010 ips: 51.4405 images/s [03/19 04:43:37] ppdet.engine INFO: Epoch: [259] [480/523] learning_rate: 0.012199 loss_vfl: 0.998130 loss_bbox: 0.440190 loss_dfl: 0.415075 loss: 1.830196 eta: 5:25:00 batch_cost: 0.9828 data_cost: 0.0050 ips: 56.9818 images/s [03/19 04:43:58] ppdet.engine INFO: Epoch: [259] [500/523] learning_rate: 0.012176 loss_vfl: 1.023391 loss_bbox: 0.435051 loss_dfl: 0.416810 loss: 1.864394 eta: 5:24:41 batch_cost: 0.9403 data_cost: 0.0088 ips: 59.5573 images/s [03/19 04:44:17] ppdet.engine INFO: Epoch: [259] [520/523] learning_rate: 0.012153 loss_vfl: 0.968646 loss_bbox: 0.432677 loss_dfl: 0.410038 loss: 1.833144 eta: 5:24:22 batch_cost: 0.8348 data_cost: 0.0080 ips: 67.0796 images/s [03/19 04:44:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 04:44:19] ppdet.engine INFO: Eval iter: 0 [03/19 04:44:40] ppdet.engine INFO: Eval iter: 100 [03/19 04:44:48] ppdet.engine INFO: Eval iter: 200 [03/19 04:44:58] ppdet.engine INFO: Eval iter: 300 [03/19 04:45:07] ppdet.engine INFO: Eval iter: 400 [03/19 04:45:16] ppdet.engine INFO: Eval iter: 500 [03/19 04:45:26] ppdet.engine INFO: Eval iter: 600 [03/19 04:45:41] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.95s) creating index... index created! [03/19 04:45:42] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.48s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=87.16s). Accumulating evaluation results... DONE (t=16.49s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.391 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.276 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.084 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.260 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.440 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.255 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.410 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.438 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.164 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.485 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.692 [03/19 04:47:32] ppdet.engine INFO: Total sample number: 4952, averge FPS: 70.67034477491099 [03/19 04:47:32] ppdet.engine INFO: Best test bbox ap is 0.261. [03/19 04:47:32] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 04:47:33] ppdet.engine INFO: Epoch: [260] [ 0/523] learning_rate: 0.012149 loss_vfl: 0.998622 loss_bbox: 0.441419 loss_dfl: 0.417680 loss: 1.853579 eta: 5:24:19 batch_cost: 0.7293 data_cost: 0.0074 ips: 76.7828 images/s [03/19 04:47:52] ppdet.engine INFO: Epoch: [260] [ 20/523] learning_rate: 0.012126 loss_vfl: 0.991102 loss_bbox: 0.427016 loss_dfl: 0.420357 loss: 1.865239 eta: 5:24:00 batch_cost: 0.8518 data_cost: 0.0063 ips: 65.7437 images/s [03/19 04:48:13] ppdet.engine INFO: Epoch: [260] [ 40/523] learning_rate: 0.012104 loss_vfl: 0.922529 loss_bbox: 0.402300 loss_dfl: 0.394849 loss: 1.712761 eta: 5:23:42 batch_cost: 0.8751 data_cost: 0.0004 ips: 63.9933 images/s [03/19 04:48:35] ppdet.engine INFO: Epoch: [260] [ 60/523] learning_rate: 0.012081 loss_vfl: 0.951883 loss_bbox: 0.407859 loss_dfl: 0.405989 loss: 1.770455 eta: 5:23:23 batch_cost: 0.9362 data_cost: 0.0040 ips: 59.8143 images/s [03/19 04:48:55] ppdet.engine INFO: Epoch: [260] [ 80/523] learning_rate: 0.012058 loss_vfl: 0.972280 loss_bbox: 0.436565 loss_dfl: 0.428460 loss: 1.829509 eta: 5:23:04 batch_cost: 0.8106 data_cost: 0.0044 ips: 69.0848 images/s [03/19 04:49:13] ppdet.engine INFO: Epoch: [260] [100/523] learning_rate: 0.012035 loss_vfl: 0.984845 loss_bbox: 0.430837 loss_dfl: 0.429510 loss: 1.856330 eta: 5:22:45 batch_cost: 0.8051 data_cost: 0.0021 ips: 69.5604 images/s [03/19 04:49:32] ppdet.engine INFO: Epoch: [260] [120/523] learning_rate: 0.012012 loss_vfl: 1.004301 loss_bbox: 0.462579 loss_dfl: 0.440868 loss: 1.912792 eta: 5:22:26 batch_cost: 0.7908 data_cost: 0.0042 ips: 70.8176 images/s [03/19 04:49:53] ppdet.engine INFO: Epoch: [260] [140/523] learning_rate: 0.011990 loss_vfl: 1.001317 loss_bbox: 0.446066 loss_dfl: 0.424602 loss: 1.858931 eta: 5:22:07 batch_cost: 0.9219 data_cost: 0.0075 ips: 60.7424 images/s [03/19 04:50:14] ppdet.engine INFO: Epoch: [260] [160/523] learning_rate: 0.011967 loss_vfl: 0.971751 loss_bbox: 0.446184 loss_dfl: 0.418487 loss: 1.844177 eta: 5:21:49 batch_cost: 0.9211 data_cost: 0.0086 ips: 60.7993 images/s [03/19 04:50:35] ppdet.engine INFO: Epoch: [260] [180/523] learning_rate: 0.011944 loss_vfl: 1.004722 loss_bbox: 0.441641 loss_dfl: 0.408637 loss: 1.816905 eta: 5:21:30 batch_cost: 0.8884 data_cost: 0.0035 ips: 63.0354 images/s [03/19 04:50:57] ppdet.engine INFO: Epoch: [260] [200/523] learning_rate: 0.011922 loss_vfl: 0.932641 loss_bbox: 0.406131 loss_dfl: 0.399924 loss: 1.747338 eta: 5:21:11 batch_cost: 0.9025 data_cost: 0.0119 ips: 62.0480 images/s [03/19 04:51:16] ppdet.engine INFO: Epoch: [260] [220/523] learning_rate: 0.011899 loss_vfl: 0.966718 loss_bbox: 0.432347 loss_dfl: 0.413605 loss: 1.802029 eta: 5:20:52 batch_cost: 0.8490 data_cost: 0.0059 ips: 65.9600 images/s [03/19 04:51:37] ppdet.engine INFO: Epoch: [260] [240/523] learning_rate: 0.011876 loss_vfl: 0.961774 loss_bbox: 0.427627 loss_dfl: 0.410198 loss: 1.786310 eta: 5:20:34 batch_cost: 0.9571 data_cost: 0.0034 ips: 58.5072 images/s [03/19 04:51:58] ppdet.engine INFO: Epoch: [260] [260/523] learning_rate: 0.011854 loss_vfl: 0.998525 loss_bbox: 0.448644 loss_dfl: 0.427558 loss: 1.856447 eta: 5:20:15 batch_cost: 0.9026 data_cost: 0.0067 ips: 62.0429 images/s [03/19 04:52:20] ppdet.engine INFO: Epoch: [260] [280/523] learning_rate: 0.011831 loss_vfl: 0.990515 loss_bbox: 0.427235 loss_dfl: 0.418395 loss: 1.870499 eta: 5:19:57 batch_cost: 0.9594 data_cost: 0.0055 ips: 58.3713 images/s [03/19 04:52:41] ppdet.engine INFO: Epoch: [260] [300/523] learning_rate: 0.011808 loss_vfl: 0.991418 loss_bbox: 0.439629 loss_dfl: 0.423536 loss: 1.859195 eta: 5:19:38 batch_cost: 0.8977 data_cost: 0.0051 ips: 62.3838 images/s [03/19 04:53:02] ppdet.engine INFO: Epoch: [260] [320/523] learning_rate: 0.011786 loss_vfl: 0.968329 loss_bbox: 0.402212 loss_dfl: 0.385397 loss: 1.713593 eta: 5:19:19 batch_cost: 0.8976 data_cost: 0.0051 ips: 62.3897 images/s [03/19 04:53:25] ppdet.engine INFO: Epoch: [260] [340/523] learning_rate: 0.011763 loss_vfl: 0.944743 loss_bbox: 0.407131 loss_dfl: 0.399380 loss: 1.766897 eta: 5:19:01 batch_cost: 1.0353 data_cost: 0.0059 ips: 54.0930 images/s [03/19 04:53:44] ppdet.engine INFO: Epoch: [260] [360/523] learning_rate: 0.011741 loss_vfl: 1.009513 loss_bbox: 0.453373 loss_dfl: 0.433624 loss: 1.915671 eta: 5:18:42 batch_cost: 0.6924 data_cost: 0.0051 ips: 80.8793 images/s [03/19 04:54:00] ppdet.engine INFO: Epoch: [260] [380/523] learning_rate: 0.011718 loss_vfl: 1.017437 loss_bbox: 0.460378 loss_dfl: 0.437089 loss: 1.918559 eta: 5:18:22 batch_cost: 0.6779 data_cost: 0.0005 ips: 82.6033 images/s [03/19 04:54:19] ppdet.engine INFO: Epoch: [260] [400/523] learning_rate: 0.011696 loss_vfl: 0.954225 loss_bbox: 0.451694 loss_dfl: 0.420257 loss: 1.824755 eta: 5:18:03 batch_cost: 0.8020 data_cost: 0.0043 ips: 69.8239 images/s [03/19 04:54:41] ppdet.engine INFO: Epoch: [260] [420/523] learning_rate: 0.011673 loss_vfl: 0.967852 loss_bbox: 0.427130 loss_dfl: 0.407715 loss: 1.800886 eta: 5:17:45 batch_cost: 0.9658 data_cost: 0.0091 ips: 57.9807 images/s [03/19 04:55:00] ppdet.engine INFO: Epoch: [260] [440/523] learning_rate: 0.011651 loss_vfl: 0.975891 loss_bbox: 0.440958 loss_dfl: 0.410528 loss: 1.844364 eta: 5:17:26 batch_cost: 0.7916 data_cost: 0.0061 ips: 70.7472 images/s [03/19 04:55:22] ppdet.engine INFO: Epoch: [260] [460/523] learning_rate: 0.011628 loss_vfl: 1.006574 loss_bbox: 0.441665 loss_dfl: 0.423531 loss: 1.845404 eta: 5:17:07 batch_cost: 0.9213 data_cost: 0.0173 ips: 60.7836 images/s [03/19 04:55:44] ppdet.engine INFO: Epoch: [260] [480/523] learning_rate: 0.011606 loss_vfl: 0.924435 loss_bbox: 0.422310 loss_dfl: 0.412763 loss: 1.752542 eta: 5:16:49 batch_cost: 0.9491 data_cost: 0.0047 ips: 59.0031 images/s [03/19 04:56:05] ppdet.engine INFO: Epoch: [260] [500/523] learning_rate: 0.011584 loss_vfl: 0.996624 loss_bbox: 0.453556 loss_dfl: 0.437654 loss: 1.892063 eta: 5:16:30 batch_cost: 0.8684 data_cost: 0.0043 ips: 64.4844 images/s [03/19 04:56:22] ppdet.engine INFO: Epoch: [260] [520/523] learning_rate: 0.011561 loss_vfl: 1.035537 loss_bbox: 0.464627 loss_dfl: 0.428791 loss: 1.920339 eta: 5:16:11 batch_cost: 0.7778 data_cost: 0.0039 ips: 71.9974 images/s [03/19 04:56:35] ppdet.engine INFO: Epoch: [261] [ 0/523] learning_rate: 0.011558 loss_vfl: 1.048044 loss_bbox: 0.473412 loss_dfl: 0.439145 loss: 1.969231 eta: 5:16:09 batch_cost: 1.0967 data_cost: 0.3644 ips: 51.0621 images/s [03/19 04:56:59] ppdet.engine INFO: Epoch: [261] [ 20/523] learning_rate: 0.011536 loss_vfl: 0.987444 loss_bbox: 0.442330 loss_dfl: 0.436316 loss: 1.880779 eta: 5:15:51 batch_cost: 0.9337 data_cost: 0.0617 ips: 59.9783 images/s [03/19 04:57:22] ppdet.engine INFO: Epoch: [261] [ 40/523] learning_rate: 0.011513 loss_vfl: 0.991690 loss_bbox: 0.427062 loss_dfl: 0.418278 loss: 1.856091 eta: 5:15:32 batch_cost: 1.0345 data_cost: 0.0018 ips: 54.1326 images/s [03/19 04:57:42] ppdet.engine INFO: Epoch: [261] [ 60/523] learning_rate: 0.011491 loss_vfl: 0.993154 loss_bbox: 0.446294 loss_dfl: 0.417778 loss: 1.872451 eta: 5:15:14 batch_cost: 0.8702 data_cost: 0.0038 ips: 64.3539 images/s [03/19 04:58:06] ppdet.engine INFO: Epoch: [261] [ 80/523] learning_rate: 0.011469 loss_vfl: 0.952532 loss_bbox: 0.433226 loss_dfl: 0.410048 loss: 1.800557 eta: 5:14:55 batch_cost: 1.0000 data_cost: 0.0040 ips: 56.0020 images/s [03/19 04:58:28] ppdet.engine INFO: Epoch: [261] [100/523] learning_rate: 0.011446 loss_vfl: 0.976842 loss_bbox: 0.449077 loss_dfl: 0.421479 loss: 1.871097 eta: 5:14:37 batch_cost: 0.9028 data_cost: 0.0728 ips: 62.0283 images/s [03/19 04:58:46] ppdet.engine INFO: Epoch: [261] [120/523] learning_rate: 0.011424 loss_vfl: 0.961785 loss_bbox: 0.451639 loss_dfl: 0.421079 loss: 1.819636 eta: 5:14:18 batch_cost: 0.7912 data_cost: 0.0027 ips: 70.7767 images/s [03/19 04:59:06] ppdet.engine INFO: Epoch: [261] [140/523] learning_rate: 0.011402 loss_vfl: 1.008415 loss_bbox: 0.455205 loss_dfl: 0.423985 loss: 1.880974 eta: 5:13:59 batch_cost: 0.8067 data_cost: 0.0276 ips: 69.4197 images/s [03/19 04:59:27] ppdet.engine INFO: Epoch: [261] [160/523] learning_rate: 0.011380 loss_vfl: 0.990023 loss_bbox: 0.451981 loss_dfl: 0.423955 loss: 1.862216 eta: 5:13:40 batch_cost: 0.9105 data_cost: 0.1340 ips: 61.5052 images/s [03/19 04:59:50] ppdet.engine INFO: Epoch: [261] [180/523] learning_rate: 0.011358 loss_vfl: 0.905901 loss_bbox: 0.398413 loss_dfl: 0.390661 loss: 1.671831 eta: 5:13:22 batch_cost: 0.9802 data_cost: 0.0257 ips: 57.1309 images/s [03/19 05:00:12] ppdet.engine INFO: Epoch: [261] [200/523] learning_rate: 0.011335 loss_vfl: 1.001357 loss_bbox: 0.444056 loss_dfl: 0.428502 loss: 1.882454 eta: 5:13:03 batch_cost: 0.9139 data_cost: 0.1741 ips: 61.2761 images/s [03/19 05:00:33] ppdet.engine INFO: Epoch: [261] [220/523] learning_rate: 0.011313 loss_vfl: 0.940471 loss_bbox: 0.418393 loss_dfl: 0.403512 loss: 1.753190 eta: 5:12:44 batch_cost: 0.9154 data_cost: 0.0035 ips: 61.1746 images/s [03/19 05:00:59] ppdet.engine INFO: Epoch: [261] [240/523] learning_rate: 0.011291 loss_vfl: 1.009095 loss_bbox: 0.457930 loss_dfl: 0.436220 loss: 1.911343 eta: 5:12:26 batch_cost: 1.1052 data_cost: 0.2148 ips: 50.6696 images/s [03/19 05:01:20] ppdet.engine INFO: Epoch: [261] [260/523] learning_rate: 0.011269 loss_vfl: 0.918883 loss_bbox: 0.401816 loss_dfl: 0.389631 loss: 1.698219 eta: 5:12:07 batch_cost: 0.8886 data_cost: 0.0751 ips: 63.0222 images/s [03/19 05:01:41] ppdet.engine INFO: Epoch: [261] [280/523] learning_rate: 0.011247 loss_vfl: 0.993963 loss_bbox: 0.451987 loss_dfl: 0.430409 loss: 1.888193 eta: 5:11:49 batch_cost: 0.9037 data_cost: 0.0424 ips: 61.9641 images/s [03/19 05:02:03] ppdet.engine INFO: Epoch: [261] [300/523] learning_rate: 0.011225 loss_vfl: 1.069251 loss_bbox: 0.462136 loss_dfl: 0.444110 loss: 1.974433 eta: 5:11:30 batch_cost: 0.9779 data_cost: 0.1583 ips: 57.2657 images/s [03/19 05:02:28] ppdet.engine INFO: Epoch: [261] [320/523] learning_rate: 0.011203 loss_vfl: 0.967263 loss_bbox: 0.431484 loss_dfl: 0.410885 loss: 1.809923 eta: 5:11:12 batch_cost: 1.0735 data_cost: 0.1990 ips: 52.1661 images/s [03/19 05:02:49] ppdet.engine INFO: Epoch: [261] [340/523] learning_rate: 0.011181 loss_vfl: 0.986086 loss_bbox: 0.439668 loss_dfl: 0.424328 loss: 1.859698 eta: 5:10:54 batch_cost: 0.9676 data_cost: 0.2054 ips: 57.8762 images/s [03/19 05:03:08] ppdet.engine INFO: Epoch: [261] [360/523] learning_rate: 0.011159 loss_vfl: 0.963855 loss_bbox: 0.413595 loss_dfl: 0.408196 loss: 1.786475 eta: 5:10:35 batch_cost: 0.8322 data_cost: 0.1162 ips: 67.2875 images/s [03/19 05:03:26] ppdet.engine INFO: Epoch: [261] [380/523] learning_rate: 0.011137 loss_vfl: 0.943147 loss_bbox: 0.430359 loss_dfl: 0.408020 loss: 1.765520 eta: 5:10:16 batch_cost: 0.7348 data_cost: 0.0181 ips: 76.2095 images/s [03/19 05:03:47] ppdet.engine INFO: Epoch: [261] [400/523] learning_rate: 0.011115 loss_vfl: 0.969936 loss_bbox: 0.421304 loss_dfl: 0.409373 loss: 1.801238 eta: 5:09:57 batch_cost: 0.9430 data_cost: 0.0851 ips: 59.3839 images/s [03/19 05:04:10] ppdet.engine INFO: Epoch: [261] [420/523] learning_rate: 0.011093 loss_vfl: 1.020756 loss_bbox: 0.459296 loss_dfl: 0.423154 loss: 1.902892 eta: 5:09:38 batch_cost: 0.9232 data_cost: 0.0459 ips: 60.6561 images/s [03/19 05:04:31] ppdet.engine INFO: Epoch: [261] [440/523] learning_rate: 0.011071 loss_vfl: 0.968116 loss_bbox: 0.432338 loss_dfl: 0.416979 loss: 1.834501 eta: 5:09:20 batch_cost: 0.9088 data_cost: 0.0012 ips: 61.6176 images/s [03/19 05:04:54] ppdet.engine INFO: Epoch: [261] [460/523] learning_rate: 0.011049 loss_vfl: 0.968396 loss_bbox: 0.432855 loss_dfl: 0.405359 loss: 1.805031 eta: 5:09:01 batch_cost: 0.9631 data_cost: 0.0487 ips: 58.1435 images/s [03/19 05:05:17] ppdet.engine INFO: Epoch: [261] [480/523] learning_rate: 0.011027 loss_vfl: 0.960522 loss_bbox: 0.423717 loss_dfl: 0.404429 loss: 1.779545 eta: 5:08:43 batch_cost: 0.9865 data_cost: 0.0689 ips: 56.7648 images/s [03/19 05:05:40] ppdet.engine INFO: Epoch: [261] [500/523] learning_rate: 0.011006 loss_vfl: 0.986148 loss_bbox: 0.419650 loss_dfl: 0.408094 loss: 1.810181 eta: 5:08:24 batch_cost: 1.0156 data_cost: 0.0061 ips: 55.1423 images/s [03/19 05:05:57] ppdet.engine INFO: Epoch: [261] [520/523] learning_rate: 0.010984 loss_vfl: 0.991240 loss_bbox: 0.447161 loss_dfl: 0.421880 loss: 1.877028 eta: 5:08:05 batch_cost: 0.6746 data_cost: 0.0135 ips: 83.0164 images/s [03/19 05:06:09] ppdet.engine INFO: Epoch: [262] [ 0/523] learning_rate: 0.010981 loss_vfl: 0.991240 loss_bbox: 0.452547 loss_dfl: 0.421880 loss: 1.877028 eta: 5:08:03 batch_cost: 1.0370 data_cost: 0.4435 ips: 54.0012 images/s [03/19 05:06:34] ppdet.engine INFO: Epoch: [262] [ 20/523] learning_rate: 0.010959 loss_vfl: 1.025080 loss_bbox: 0.451569 loss_dfl: 0.424614 loss: 1.884206 eta: 5:07:45 batch_cost: 1.0181 data_cost: 0.0239 ips: 55.0024 images/s [03/19 05:06:55] ppdet.engine INFO: Epoch: [262] [ 40/523] learning_rate: 0.010937 loss_vfl: 1.028533 loss_bbox: 0.447632 loss_dfl: 0.436631 loss: 1.892199 eta: 5:07:26 batch_cost: 0.9466 data_cost: 0.0103 ips: 59.1607 images/s [03/19 05:07:19] ppdet.engine INFO: Epoch: [262] [ 60/523] learning_rate: 0.010915 loss_vfl: 0.979184 loss_bbox: 0.440179 loss_dfl: 0.422814 loss: 1.819405 eta: 5:07:08 batch_cost: 1.0576 data_cost: 0.1092 ips: 52.9526 images/s [03/19 05:07:39] ppdet.engine INFO: Epoch: [262] [ 80/523] learning_rate: 0.010893 loss_vfl: 1.021376 loss_bbox: 0.464024 loss_dfl: 0.440463 loss: 1.948883 eta: 5:06:49 batch_cost: 0.8589 data_cost: 0.0582 ips: 65.2011 images/s [03/19 05:07:58] ppdet.engine INFO: Epoch: [262] [100/523] learning_rate: 0.010872 loss_vfl: 0.988192 loss_bbox: 0.453065 loss_dfl: 0.426995 loss: 1.884405 eta: 5:06:31 batch_cost: 0.8146 data_cost: 0.0748 ips: 68.7451 images/s [03/19 05:08:20] ppdet.engine INFO: Epoch: [262] [120/523] learning_rate: 0.010850 loss_vfl: 0.960715 loss_bbox: 0.426952 loss_dfl: 0.403753 loss: 1.792230 eta: 5:06:12 batch_cost: 0.9083 data_cost: 0.1063 ips: 61.6527 images/s [03/19 05:08:42] ppdet.engine INFO: Epoch: [262] [140/523] learning_rate: 0.010828 loss_vfl: 1.003629 loss_bbox: 0.444523 loss_dfl: 0.429712 loss: 1.884368 eta: 5:05:53 batch_cost: 0.9616 data_cost: 0.1787 ips: 58.2388 images/s [03/19 05:09:04] ppdet.engine INFO: Epoch: [262] [160/523] learning_rate: 0.010807 loss_vfl: 0.984263 loss_bbox: 0.420848 loss_dfl: 0.401127 loss: 1.795835 eta: 5:05:35 batch_cost: 0.8812 data_cost: 0.0025 ips: 63.5493 images/s [03/19 05:09:27] ppdet.engine INFO: Epoch: [262] [180/523] learning_rate: 0.010785 loss_vfl: 1.001403 loss_bbox: 0.446484 loss_dfl: 0.429697 loss: 1.879987 eta: 5:05:16 batch_cost: 0.9996 data_cost: 0.0051 ips: 56.0211 images/s [03/19 05:09:49] ppdet.engine INFO: Epoch: [262] [200/523] learning_rate: 0.010764 loss_vfl: 1.016217 loss_bbox: 0.454746 loss_dfl: 0.425916 loss: 1.896358 eta: 5:04:58 batch_cost: 0.9279 data_cost: 0.0053 ips: 60.3515 images/s [03/19 05:10:12] ppdet.engine INFO: Epoch: [262] [220/523] learning_rate: 0.010742 loss_vfl: 1.021235 loss_bbox: 0.439349 loss_dfl: 0.420682 loss: 1.882152 eta: 5:04:39 batch_cost: 0.9785 data_cost: 0.0075 ips: 57.2301 images/s [03/19 05:10:35] ppdet.engine INFO: Epoch: [262] [240/523] learning_rate: 0.010720 loss_vfl: 0.986645 loss_bbox: 0.454501 loss_dfl: 0.430403 loss: 1.882212 eta: 5:04:21 batch_cost: 1.0267 data_cost: 0.0034 ips: 54.5461 images/s [03/19 05:10:57] ppdet.engine INFO: Epoch: [262] [260/523] learning_rate: 0.010699 loss_vfl: 0.954363 loss_bbox: 0.429202 loss_dfl: 0.410851 loss: 1.799012 eta: 5:04:02 batch_cost: 1.0288 data_cost: 0.0118 ips: 54.4345 images/s [03/19 05:11:20] ppdet.engine INFO: Epoch: [262] [280/523] learning_rate: 0.010677 loss_vfl: 1.056252 loss_bbox: 0.458083 loss_dfl: 0.434419 loss: 1.951954 eta: 5:03:44 batch_cost: 1.0405 data_cost: 0.0029 ips: 53.8215 images/s [03/19 05:11:43] ppdet.engine INFO: Epoch: [262] [300/523] learning_rate: 0.010656 loss_vfl: 0.984669 loss_bbox: 0.444809 loss_dfl: 0.418417 loss: 1.852817 eta: 5:03:26 batch_cost: 1.0080 data_cost: 0.1074 ips: 55.5565 images/s [03/19 05:12:02] ppdet.engine INFO: Epoch: [262] [320/523] learning_rate: 0.010634 loss_vfl: 1.007700 loss_bbox: 0.429591 loss_dfl: 0.409012 loss: 1.827082 eta: 5:03:07 batch_cost: 0.7849 data_cost: 0.0025 ips: 71.3478 images/s [03/19 05:12:20] ppdet.engine INFO: Epoch: [262] [340/523] learning_rate: 0.010613 loss_vfl: 1.023879 loss_bbox: 0.437912 loss_dfl: 0.431906 loss: 1.895932 eta: 5:02:48 batch_cost: 0.8194 data_cost: 0.0013 ips: 68.3455 images/s [03/19 05:12:40] ppdet.engine INFO: Epoch: [262] [360/523] learning_rate: 0.010591 loss_vfl: 0.899764 loss_bbox: 0.392087 loss_dfl: 0.379705 loss: 1.634840 eta: 5:02:29 batch_cost: 0.7884 data_cost: 0.0065 ips: 71.0330 images/s [03/19 05:13:02] ppdet.engine INFO: Epoch: [262] [380/523] learning_rate: 0.010570 loss_vfl: 1.022220 loss_bbox: 0.439036 loss_dfl: 0.421676 loss: 1.865110 eta: 5:02:10 batch_cost: 0.9626 data_cost: 0.0061 ips: 58.1756 images/s [03/19 05:13:24] ppdet.engine INFO: Epoch: [262] [400/523] learning_rate: 0.010549 loss_vfl: 0.923388 loss_bbox: 0.412103 loss_dfl: 0.398204 loss: 1.745519 eta: 5:01:52 batch_cost: 0.8863 data_cost: 0.0104 ips: 63.1862 images/s [03/19 05:13:45] ppdet.engine INFO: Epoch: [262] [420/523] learning_rate: 0.010527 loss_vfl: 1.013676 loss_bbox: 0.446484 loss_dfl: 0.430166 loss: 1.870679 eta: 5:01:33 batch_cost: 0.8922 data_cost: 0.0035 ips: 62.7679 images/s [03/19 05:14:08] ppdet.engine INFO: Epoch: [262] [440/523] learning_rate: 0.010506 loss_vfl: 0.941328 loss_bbox: 0.420329 loss_dfl: 0.407764 loss: 1.759552 eta: 5:01:14 batch_cost: 0.9466 data_cost: 0.0053 ips: 59.1579 images/s [03/19 05:14:30] ppdet.engine INFO: Epoch: [262] [460/523] learning_rate: 0.010484 loss_vfl: 0.931752 loss_bbox: 0.413578 loss_dfl: 0.397286 loss: 1.748138 eta: 5:00:56 batch_cost: 0.9325 data_cost: 0.0748 ips: 60.0553 images/s [03/19 05:14:52] ppdet.engine INFO: Epoch: [262] [480/523] learning_rate: 0.010463 loss_vfl: 0.997661 loss_bbox: 0.444011 loss_dfl: 0.441659 loss: 1.894129 eta: 5:00:37 batch_cost: 0.9831 data_cost: 0.0027 ips: 56.9623 images/s [03/19 05:15:15] ppdet.engine INFO: Epoch: [262] [500/523] learning_rate: 0.010442 loss_vfl: 0.986498 loss_bbox: 0.469450 loss_dfl: 0.427698 loss: 1.895144 eta: 5:00:19 batch_cost: 0.9833 data_cost: 0.0031 ips: 56.9486 images/s [03/19 05:15:33] ppdet.engine INFO: Epoch: [262] [520/523] learning_rate: 0.010421 loss_vfl: 1.007734 loss_bbox: 0.424557 loss_dfl: 0.422706 loss: 1.862757 eta: 5:00:00 batch_cost: 0.7176 data_cost: 0.0034 ips: 78.0352 images/s [03/19 05:15:47] ppdet.engine INFO: Epoch: [263] [ 0/523] learning_rate: 0.010417 loss_vfl: 1.033560 loss_bbox: 0.437582 loss_dfl: 0.425397 loss: 1.939800 eta: 4:59:58 batch_cost: 1.2395 data_cost: 0.4447 ips: 45.1784 images/s [03/19 05:16:09] ppdet.engine INFO: Epoch: [263] [ 20/523] learning_rate: 0.010396 loss_vfl: 0.928653 loss_bbox: 0.408196 loss_dfl: 0.386019 loss: 1.738431 eta: 4:59:40 batch_cost: 0.9865 data_cost: 0.0019 ips: 56.7641 images/s [03/19 05:16:30] ppdet.engine INFO: Epoch: [263] [ 40/523] learning_rate: 0.010375 loss_vfl: 0.944916 loss_bbox: 0.409434 loss_dfl: 0.400640 loss: 1.740826 eta: 4:59:21 batch_cost: 0.8901 data_cost: 0.0013 ips: 62.9174 images/s [03/19 05:16:50] ppdet.engine INFO: Epoch: [263] [ 60/523] learning_rate: 0.010354 loss_vfl: 1.037268 loss_bbox: 0.464655 loss_dfl: 0.445290 loss: 1.946204 eta: 4:59:02 batch_cost: 0.9071 data_cost: 0.1448 ips: 61.7336 images/s [03/19 05:17:09] ppdet.engine INFO: Epoch: [263] [ 80/523] learning_rate: 0.010333 loss_vfl: 0.966975 loss_bbox: 0.419261 loss_dfl: 0.407960 loss: 1.817691 eta: 4:58:43 batch_cost: 0.7948 data_cost: 0.0108 ips: 70.4603 images/s [03/19 05:17:31] ppdet.engine INFO: Epoch: [263] [100/523] learning_rate: 0.010311 loss_vfl: 0.995715 loss_bbox: 0.445236 loss_dfl: 0.416793 loss: 1.849855 eta: 4:58:25 batch_cost: 0.9745 data_cost: 0.0077 ips: 57.4633 images/s [03/19 05:17:54] ppdet.engine INFO: Epoch: [263] [120/523] learning_rate: 0.010290 loss_vfl: 0.959491 loss_bbox: 0.415294 loss_dfl: 0.401242 loss: 1.777761 eta: 4:58:07 batch_cost: 1.0146 data_cost: 0.0260 ips: 55.1923 images/s [03/19 05:18:17] ppdet.engine INFO: Epoch: [263] [140/523] learning_rate: 0.010269 loss_vfl: 0.977588 loss_bbox: 0.438187 loss_dfl: 0.416950 loss: 1.846887 eta: 4:57:48 batch_cost: 1.0279 data_cost: 0.0658 ips: 54.4781 images/s [03/19 05:18:38] ppdet.engine INFO: Epoch: [263] [160/523] learning_rate: 0.010248 loss_vfl: 1.003492 loss_bbox: 0.444654 loss_dfl: 0.439610 loss: 1.909105 eta: 4:57:30 batch_cost: 0.9198 data_cost: 0.1748 ips: 60.8819 images/s [03/19 05:19:01] ppdet.engine INFO: Epoch: [263] [180/523] learning_rate: 0.010227 loss_vfl: 0.954096 loss_bbox: 0.419519 loss_dfl: 0.401103 loss: 1.777955 eta: 4:57:11 batch_cost: 1.0436 data_cost: 0.1050 ips: 53.6587 images/s [03/19 05:19:24] ppdet.engine INFO: Epoch: [263] [200/523] learning_rate: 0.010206 loss_vfl: 0.993641 loss_bbox: 0.451025 loss_dfl: 0.422894 loss: 1.855413 eta: 4:56:53 batch_cost: 0.9757 data_cost: 0.2380 ips: 57.3944 images/s [03/19 05:19:46] ppdet.engine INFO: Epoch: [263] [220/523] learning_rate: 0.010185 loss_vfl: 1.034123 loss_bbox: 0.466542 loss_dfl: 0.445086 loss: 1.959301 eta: 4:56:34 batch_cost: 0.8984 data_cost: 0.0847 ips: 62.3302 images/s [03/19 05:20:09] ppdet.engine INFO: Epoch: [263] [240/523] learning_rate: 0.010164 loss_vfl: 0.971746 loss_bbox: 0.434970 loss_dfl: 0.417372 loss: 1.847778 eta: 4:56:16 batch_cost: 0.9301 data_cost: 0.0293 ips: 60.2100 images/s [03/19 05:20:30] ppdet.engine INFO: Epoch: [263] [260/523] learning_rate: 0.010143 loss_vfl: 1.007111 loss_bbox: 0.447179 loss_dfl: 0.428249 loss: 1.855706 eta: 4:55:57 batch_cost: 0.9034 data_cost: 0.0561 ips: 61.9904 images/s [03/19 05:20:56] ppdet.engine INFO: Epoch: [263] [280/523] learning_rate: 0.010122 loss_vfl: 0.940826 loss_bbox: 0.470093 loss_dfl: 0.405883 loss: 1.810587 eta: 4:55:39 batch_cost: 1.0751 data_cost: 0.0752 ips: 52.0903 images/s [03/19 05:21:13] ppdet.engine INFO: Epoch: [263] [300/523] learning_rate: 0.010101 loss_vfl: 0.965026 loss_bbox: 0.427128 loss_dfl: 0.414542 loss: 1.827111 eta: 4:55:20 batch_cost: 0.7966 data_cost: 0.0035 ips: 70.2945 images/s [03/19 05:21:31] ppdet.engine INFO: Epoch: [263] [320/523] learning_rate: 0.010080 loss_vfl: 1.005403 loss_bbox: 0.453820 loss_dfl: 0.421924 loss: 1.892213 eta: 4:55:01 batch_cost: 0.7291 data_cost: 0.0027 ips: 76.8074 images/s [03/19 05:21:53] ppdet.engine INFO: Epoch: [263] [340/523] learning_rate: 0.010059 loss_vfl: 0.966911 loss_bbox: 0.406866 loss_dfl: 0.399616 loss: 1.782391 eta: 4:54:42 batch_cost: 0.8275 data_cost: 0.0029 ips: 67.6706 images/s [03/19 05:22:13] ppdet.engine INFO: Epoch: [263] [360/523] learning_rate: 0.010038 loss_vfl: 1.013259 loss_bbox: 0.446016 loss_dfl: 0.424946 loss: 1.880434 eta: 4:54:23 batch_cost: 0.8813 data_cost: 0.0042 ips: 63.5453 images/s [03/19 05:22:36] ppdet.engine INFO: Epoch: [263] [380/523] learning_rate: 0.010017 loss_vfl: 0.951203 loss_bbox: 0.412726 loss_dfl: 0.404782 loss: 1.760698 eta: 4:54:05 batch_cost: 1.0001 data_cost: 0.0031 ips: 55.9937 images/s [03/19 05:22:58] ppdet.engine INFO: Epoch: [263] [400/523] learning_rate: 0.009996 loss_vfl: 0.952179 loss_bbox: 0.426872 loss_dfl: 0.406778 loss: 1.786074 eta: 4:53:46 batch_cost: 0.9295 data_cost: 0.0068 ips: 60.2444 images/s [03/19 05:23:22] ppdet.engine INFO: Epoch: [263] [420/523] learning_rate: 0.009976 loss_vfl: 1.011009 loss_bbox: 0.469339 loss_dfl: 0.450307 loss: 1.928027 eta: 4:53:27 batch_cost: 0.9667 data_cost: 0.0346 ips: 57.9275 images/s [03/19 05:23:41] ppdet.engine INFO: Epoch: [263] [440/523] learning_rate: 0.009955 loss_vfl: 0.958730 loss_bbox: 0.439061 loss_dfl: 0.411318 loss: 1.812966 eta: 4:53:09 batch_cost: 0.8091 data_cost: 0.0034 ips: 69.2086 images/s [03/19 05:24:05] ppdet.engine INFO: Epoch: [263] [460/523] learning_rate: 0.009934 loss_vfl: 0.956904 loss_bbox: 0.426572 loss_dfl: 0.405596 loss: 1.754682 eta: 4:52:50 batch_cost: 1.0005 data_cost: 0.0712 ips: 55.9694 images/s [03/19 05:24:28] ppdet.engine INFO: Epoch: [263] [480/523] learning_rate: 0.009913 loss_vfl: 1.022557 loss_bbox: 0.475703 loss_dfl: 0.441563 loss: 1.936263 eta: 4:52:32 batch_cost: 0.9339 data_cost: 0.0071 ips: 59.9630 images/s [03/19 05:24:49] ppdet.engine INFO: Epoch: [263] [500/523] learning_rate: 0.009892 loss_vfl: 0.965682 loss_bbox: 0.433276 loss_dfl: 0.416192 loss: 1.809475 eta: 4:52:13 batch_cost: 0.9038 data_cost: 0.0059 ips: 61.9585 images/s [03/19 05:25:07] ppdet.engine INFO: Epoch: [263] [520/523] learning_rate: 0.009872 loss_vfl: 0.995512 loss_bbox: 0.449946 loss_dfl: 0.419613 loss: 1.906793 eta: 4:51:54 batch_cost: 0.7363 data_cost: 0.0030 ips: 76.0519 images/s [03/19 05:25:20] ppdet.engine INFO: Epoch: [264] [ 0/523] learning_rate: 0.009869 loss_vfl: 0.981090 loss_bbox: 0.442246 loss_dfl: 0.418816 loss: 1.870099 eta: 4:51:52 batch_cost: 1.1311 data_cost: 0.3689 ips: 49.5098 images/s [03/19 05:25:41] ppdet.engine INFO: Epoch: [264] [ 20/523] learning_rate: 0.009848 loss_vfl: 0.967898 loss_bbox: 0.428046 loss_dfl: 0.415988 loss: 1.809181 eta: 4:51:33 batch_cost: 0.9362 data_cost: 0.0620 ips: 59.8148 images/s [03/19 05:26:00] ppdet.engine INFO: Epoch: [264] [ 40/523] learning_rate: 0.009827 loss_vfl: 0.976618 loss_bbox: 0.434336 loss_dfl: 0.422212 loss: 1.841473 eta: 4:51:14 batch_cost: 0.7832 data_cost: 0.0062 ips: 71.4998 images/s [03/19 05:26:22] ppdet.engine INFO: Epoch: [264] [ 60/523] learning_rate: 0.009806 loss_vfl: 0.979865 loss_bbox: 0.420686 loss_dfl: 0.416536 loss: 1.806841 eta: 4:50:56 batch_cost: 0.9439 data_cost: 0.0068 ips: 59.3296 images/s [03/19 05:26:46] ppdet.engine INFO: Epoch: [264] [ 80/523] learning_rate: 0.009786 loss_vfl: 0.990173 loss_bbox: 0.437886 loss_dfl: 0.427558 loss: 1.852395 eta: 4:50:38 batch_cost: 1.0489 data_cost: 0.0031 ips: 53.3908 images/s [03/19 05:27:08] ppdet.engine INFO: Epoch: [264] [100/523] learning_rate: 0.009765 loss_vfl: 0.951338 loss_bbox: 0.407850 loss_dfl: 0.401325 loss: 1.770149 eta: 4:50:19 batch_cost: 0.9698 data_cost: 0.0100 ips: 57.7433 images/s [03/19 05:27:31] ppdet.engine INFO: Epoch: [264] [120/523] learning_rate: 0.009745 loss_vfl: 0.996191 loss_bbox: 0.438938 loss_dfl: 0.416991 loss: 1.832420 eta: 4:50:01 batch_cost: 0.9674 data_cost: 0.0048 ips: 57.8879 images/s [03/19 05:27:54] ppdet.engine INFO: Epoch: [264] [140/523] learning_rate: 0.009724 loss_vfl: 0.959363 loss_bbox: 0.415025 loss_dfl: 0.400110 loss: 1.747643 eta: 4:49:42 batch_cost: 0.9534 data_cost: 0.0058 ips: 58.7363 images/s [03/19 05:28:17] ppdet.engine INFO: Epoch: [264] [160/523] learning_rate: 0.009703 loss_vfl: 0.937254 loss_bbox: 0.421525 loss_dfl: 0.411961 loss: 1.755715 eta: 4:49:24 batch_cost: 1.0130 data_cost: 0.0529 ips: 55.2823 images/s [03/19 05:28:40] ppdet.engine INFO: Epoch: [264] [180/523] learning_rate: 0.009683 loss_vfl: 0.953131 loss_bbox: 0.439669 loss_dfl: 0.405657 loss: 1.792314 eta: 4:49:05 batch_cost: 1.0332 data_cost: 0.1748 ips: 54.2026 images/s [03/19 05:29:03] ppdet.engine INFO: Epoch: [264] [200/523] learning_rate: 0.009662 loss_vfl: 0.998983 loss_bbox: 0.438593 loss_dfl: 0.416154 loss: 1.865629 eta: 4:48:46 batch_cost: 0.8301 data_cost: 0.0090 ips: 67.4651 images/s [03/19 05:29:25] ppdet.engine INFO: Epoch: [264] [220/523] learning_rate: 0.009642 loss_vfl: 0.975817 loss_bbox: 0.431182 loss_dfl: 0.411857 loss: 1.809506 eta: 4:48:28 batch_cost: 0.8910 data_cost: 0.0041 ips: 62.8508 images/s [03/19 05:29:46] ppdet.engine INFO: Epoch: [264] [240/523] learning_rate: 0.009621 loss_vfl: 0.979730 loss_bbox: 0.410973 loss_dfl: 0.408071 loss: 1.772717 eta: 4:48:09 batch_cost: 0.8906 data_cost: 0.0355 ips: 62.8814 images/s [03/19 05:30:07] ppdet.engine INFO: Epoch: [264] [260/523] learning_rate: 0.009601 loss_vfl: 0.953079 loss_bbox: 0.444104 loss_dfl: 0.405605 loss: 1.787612 eta: 4:47:50 batch_cost: 0.9309 data_cost: 0.0325 ips: 60.1545 images/s [03/19 05:30:27] ppdet.engine INFO: Epoch: [264] [280/523] learning_rate: 0.009581 loss_vfl: 0.974205 loss_bbox: 0.434506 loss_dfl: 0.425889 loss: 1.842942 eta: 4:47:32 batch_cost: 0.8665 data_cost: 0.0103 ips: 64.6258 images/s [03/19 05:30:47] ppdet.engine INFO: Epoch: [264] [300/523] learning_rate: 0.009560 loss_vfl: 1.064052 loss_bbox: 0.468484 loss_dfl: 0.436254 loss: 1.980868 eta: 4:47:13 batch_cost: 0.8356 data_cost: 0.0018 ips: 67.0175 images/s [03/19 05:31:10] ppdet.engine INFO: Epoch: [264] [320/523] learning_rate: 0.009540 loss_vfl: 1.000501 loss_bbox: 0.456908 loss_dfl: 0.430291 loss: 1.915890 eta: 4:46:54 batch_cost: 0.9744 data_cost: 0.0172 ips: 57.4685 images/s [03/19 05:31:34] ppdet.engine INFO: Epoch: [264] [340/523] learning_rate: 0.009519 loss_vfl: 1.014364 loss_bbox: 0.451517 loss_dfl: 0.440107 loss: 1.897644 eta: 4:46:36 batch_cost: 0.9968 data_cost: 0.0091 ips: 56.1791 images/s [03/19 05:31:55] ppdet.engine INFO: Epoch: [264] [360/523] learning_rate: 0.009499 loss_vfl: 0.978825 loss_bbox: 0.432597 loss_dfl: 0.411985 loss: 1.857384 eta: 4:46:17 batch_cost: 0.8912 data_cost: 0.0080 ips: 62.8398 images/s [03/19 05:32:18] ppdet.engine INFO: Epoch: [264] [380/523] learning_rate: 0.009479 loss_vfl: 0.990110 loss_bbox: 0.447747 loss_dfl: 0.423858 loss: 1.875778 eta: 4:45:59 batch_cost: 0.9704 data_cost: 0.0214 ips: 57.7075 images/s [03/19 05:32:41] ppdet.engine INFO: Epoch: [264] [400/523] learning_rate: 0.009458 loss_vfl: 0.964457 loss_bbox: 0.430829 loss_dfl: 0.404118 loss: 1.822450 eta: 4:45:40 batch_cost: 0.9187 data_cost: 0.0021 ips: 60.9574 images/s [03/19 05:33:03] ppdet.engine INFO: Epoch: [264] [420/523] learning_rate: 0.009438 loss_vfl: 0.992200 loss_bbox: 0.441547 loss_dfl: 0.423684 loss: 1.874997 eta: 4:45:21 batch_cost: 0.8720 data_cost: 0.0028 ips: 64.2166 images/s [03/19 05:33:25] ppdet.engine INFO: Epoch: [264] [440/523] learning_rate: 0.009418 loss_vfl: 0.962031 loss_bbox: 0.426539 loss_dfl: 0.395978 loss: 1.806836 eta: 4:45:03 batch_cost: 0.8546 data_cost: 0.0039 ips: 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learning_rate: 0.009334 loss_vfl: 1.013660 loss_bbox: 0.444355 loss_dfl: 0.425710 loss: 1.882096 eta: 4:43:46 batch_cost: 1.0424 data_cost: 0.3245 ips: 53.7224 images/s [03/19 05:35:24] ppdet.engine INFO: Epoch: [265] [ 20/523] learning_rate: 0.009314 loss_vfl: 0.989288 loss_bbox: 0.431810 loss_dfl: 0.402996 loss: 1.817749 eta: 4:43:28 batch_cost: 1.0992 data_cost: 0.0012 ips: 50.9468 images/s [03/19 05:35:47] ppdet.engine INFO: Epoch: [265] [ 40/523] learning_rate: 0.009294 loss_vfl: 0.970928 loss_bbox: 0.420032 loss_dfl: 0.407430 loss: 1.788249 eta: 4:43:09 batch_cost: 0.9839 data_cost: 0.0091 ips: 56.9144 images/s [03/19 05:36:07] ppdet.engine INFO: Epoch: [265] [ 60/523] learning_rate: 0.009274 loss_vfl: 0.975563 loss_bbox: 0.427280 loss_dfl: 0.411519 loss: 1.811686 eta: 4:42:50 batch_cost: 0.8459 data_cost: 0.0068 ips: 66.2028 images/s [03/19 05:36:34] ppdet.engine INFO: Epoch: [265] [ 80/523] learning_rate: 0.009254 loss_vfl: 0.994142 loss_bbox: 0.443150 loss_dfl: 0.422430 loss: 1.859157 eta: 4:42:32 batch_cost: 1.1447 data_cost: 0.0056 ips: 48.9232 images/s [03/19 05:37:01] ppdet.engine INFO: Epoch: [265] [100/523] learning_rate: 0.009233 loss_vfl: 0.974133 loss_bbox: 0.432964 loss_dfl: 0.413081 loss: 1.813069 eta: 4:42:14 batch_cost: 1.1038 data_cost: 0.0049 ips: 50.7323 images/s [03/19 05:37:23] ppdet.engine INFO: Epoch: [265] [120/523] learning_rate: 0.009213 loss_vfl: 0.941763 loss_bbox: 0.413886 loss_dfl: 0.402118 loss: 1.737079 eta: 4:41:55 batch_cost: 0.9409 data_cost: 0.0082 ips: 59.5162 images/s [03/19 05:37:47] ppdet.engine INFO: Epoch: [265] [140/523] learning_rate: 0.009193 loss_vfl: 0.969898 loss_bbox: 0.424770 loss_dfl: 0.409063 loss: 1.800915 eta: 4:41:37 batch_cost: 0.9081 data_cost: 0.0044 ips: 61.6642 images/s [03/19 05:38:11] ppdet.engine INFO: Epoch: [265] [160/523] learning_rate: 0.009173 loss_vfl: 0.975828 loss_bbox: 0.445415 loss_dfl: 0.426105 loss: 1.828219 eta: 4:41:19 batch_cost: 1.0615 data_cost: 0.0034 ips: 52.7569 images/s [03/19 05:38:35] ppdet.engine INFO: Epoch: [265] [180/523] learning_rate: 0.009153 loss_vfl: 1.004609 loss_bbox: 0.447163 loss_dfl: 0.430513 loss: 1.889056 eta: 4:41:00 batch_cost: 0.9821 data_cost: 0.0044 ips: 57.0213 images/s [03/19 05:38:54] ppdet.engine INFO: Epoch: [265] [200/523] learning_rate: 0.009133 loss_vfl: 0.966788 loss_bbox: 0.424163 loss_dfl: 0.409773 loss: 1.816019 eta: 4:40:41 batch_cost: 0.7675 data_cost: 0.0033 ips: 72.9621 images/s [03/19 05:39:13] ppdet.engine INFO: Epoch: [265] [220/523] learning_rate: 0.009113 loss_vfl: 0.944963 loss_bbox: 0.406561 loss_dfl: 0.399857 loss: 1.741030 eta: 4:40:22 batch_cost: 0.7872 data_cost: 0.0058 ips: 71.1408 images/s [03/19 05:39:34] ppdet.engine INFO: Epoch: [265] [240/523] learning_rate: 0.009094 loss_vfl: 1.012168 loss_bbox: 0.439803 loss_dfl: 0.412597 loss: 1.875374 eta: 4:40:03 batch_cost: 0.8925 data_cost: 0.0038 ips: 62.7465 images/s [03/19 05:39:56] ppdet.engine INFO: Epoch: [265] [260/523] learning_rate: 0.009074 loss_vfl: 1.066761 loss_bbox: 0.454378 loss_dfl: 0.439975 loss: 1.959537 eta: 4:39:45 batch_cost: 0.9925 data_cost: 0.0085 ips: 56.4244 images/s [03/19 05:40:21] ppdet.engine INFO: Epoch: [265] [280/523] learning_rate: 0.009054 loss_vfl: 0.988865 loss_bbox: 0.453986 loss_dfl: 0.417330 loss: 1.834277 eta: 4:39:27 batch_cost: 1.0676 data_cost: 0.0042 ips: 52.4542 images/s [03/19 05:40:46] ppdet.engine INFO: Epoch: [265] [300/523] learning_rate: 0.009034 loss_vfl: 1.008870 loss_bbox: 0.462709 loss_dfl: 0.429220 loss: 1.891726 eta: 4:39:08 batch_cost: 1.0265 data_cost: 0.0039 ips: 54.5556 images/s [03/19 05:41:08] ppdet.engine INFO: Epoch: [265] [320/523] learning_rate: 0.009014 loss_vfl: 0.955103 loss_bbox: 0.404634 loss_dfl: 0.400843 loss: 1.729390 eta: 4:38:50 batch_cost: 0.9912 data_cost: 0.0080 ips: 56.4999 images/s [03/19 05:41:32] ppdet.engine INFO: Epoch: [265] [340/523] learning_rate: 0.008994 loss_vfl: 0.973245 loss_bbox: 0.433393 loss_dfl: 0.413179 loss: 1.820430 eta: 4:38:32 batch_cost: 1.0558 data_cost: 0.0027 ips: 53.0418 images/s [03/19 05:41:53] ppdet.engine INFO: Epoch: [265] [360/523] learning_rate: 0.008974 loss_vfl: 1.020860 loss_bbox: 0.476398 loss_dfl: 0.439552 loss: 1.968471 eta: 4:38:13 batch_cost: 0.8659 data_cost: 0.0050 ips: 64.6745 images/s [03/19 05:42:16] ppdet.engine INFO: Epoch: [265] [380/523] learning_rate: 0.008955 loss_vfl: 0.948006 loss_bbox: 0.422204 loss_dfl: 0.412360 loss: 1.789328 eta: 4:37:54 batch_cost: 0.9592 data_cost: 0.0846 ips: 58.3830 images/s [03/19 05:42:41] ppdet.engine INFO: Epoch: [265] [400/523] learning_rate: 0.008935 loss_vfl: 0.948371 loss_bbox: 0.427937 loss_dfl: 0.410175 loss: 1.807351 eta: 4:37:36 batch_cost: 1.0293 data_cost: 0.1274 ips: 54.4085 images/s [03/19 05:43:04] ppdet.engine INFO: Epoch: [265] [420/523] learning_rate: 0.008915 loss_vfl: 0.949022 loss_bbox: 0.407334 loss_dfl: 0.397966 loss: 1.742232 eta: 4:37:17 batch_cost: 0.9649 data_cost: 0.0080 ips: 58.0375 images/s [03/19 05:43:24] ppdet.engine INFO: Epoch: [265] [440/523] learning_rate: 0.008895 loss_vfl: 0.941510 loss_bbox: 0.419120 loss_dfl: 0.405545 loss: 1.787640 eta: 4:36:59 batch_cost: 0.8894 data_cost: 0.0038 ips: 62.9672 images/s [03/19 05:43:42] ppdet.engine INFO: Epoch: [265] [460/523] learning_rate: 0.008876 loss_vfl: 0.993077 loss_bbox: 0.447644 loss_dfl: 0.412925 loss: 1.862503 eta: 4:36:40 batch_cost: 0.8088 data_cost: 0.0048 ips: 69.2388 images/s [03/19 05:44:05] ppdet.engine INFO: Epoch: [265] [480/523] learning_rate: 0.008856 loss_vfl: 0.914095 loss_bbox: 0.376353 loss_dfl: 0.381273 loss: 1.678311 eta: 4:36:21 batch_cost: 1.0036 data_cost: 0.0022 ips: 55.7992 images/s [03/19 05:44:26] ppdet.engine INFO: Epoch: [265] [500/523] learning_rate: 0.008836 loss_vfl: 0.990041 loss_bbox: 0.439681 loss_dfl: 0.419305 loss: 1.817318 eta: 4:36:03 batch_cost: 0.9444 data_cost: 0.0164 ips: 59.2993 images/s [03/19 05:44:46] ppdet.engine INFO: Epoch: [265] [520/523] learning_rate: 0.008817 loss_vfl: 0.980195 loss_bbox: 0.436990 loss_dfl: 0.408031 loss: 1.829451 eta: 4:35:44 batch_cost: 0.8897 data_cost: 0.0024 ips: 62.9401 images/s [03/19 05:44:58] ppdet.engine INFO: Epoch: [266] [ 0/523] learning_rate: 0.008814 loss_vfl: 0.965643 loss_bbox: 0.422480 loss_dfl: 0.405129 loss: 1.811462 eta: 4:35:42 batch_cost: 1.0800 data_cost: 0.4334 ips: 51.8528 images/s [03/19 05:45:25] ppdet.engine INFO: Epoch: [266] [ 20/523] learning_rate: 0.008794 loss_vfl: 0.968512 loss_bbox: 0.401943 loss_dfl: 0.397181 loss: 1.776796 eta: 4:35:24 batch_cost: 1.2358 data_cost: 0.0036 ips: 45.3156 images/s [03/19 05:45:49] ppdet.engine INFO: Epoch: [266] [ 40/523] learning_rate: 0.008775 loss_vfl: 0.977358 loss_bbox: 0.431403 loss_dfl: 0.412668 loss: 1.809857 eta: 4:35:06 batch_cost: 0.9589 data_cost: 0.0088 ips: 58.3997 images/s [03/19 05:46:13] ppdet.engine INFO: Epoch: [266] [ 60/523] learning_rate: 0.008755 loss_vfl: 0.933119 loss_bbox: 0.417644 loss_dfl: 0.403189 loss: 1.749904 eta: 4:34:48 batch_cost: 1.0490 data_cost: 0.0080 ips: 53.3838 images/s [03/19 05:46:35] ppdet.engine INFO: Epoch: [266] [ 80/523] learning_rate: 0.008736 loss_vfl: 1.026298 loss_bbox: 0.454130 loss_dfl: 0.421310 loss: 1.923832 eta: 4:34:29 batch_cost: 0.8463 data_cost: 0.0663 ips: 66.1671 images/s [03/19 05:46:59] ppdet.engine INFO: Epoch: [266] [100/523] learning_rate: 0.008716 loss_vfl: 0.953485 loss_bbox: 0.429457 loss_dfl: 0.409306 loss: 1.776080 eta: 4:34:10 batch_cost: 0.9818 data_cost: 0.0682 ips: 57.0356 images/s [03/19 05:47:23] ppdet.engine INFO: Epoch: [266] [120/523] learning_rate: 0.008697 loss_vfl: 0.922509 loss_bbox: 0.415609 loss_dfl: 0.384261 loss: 1.692406 eta: 4:33:52 batch_cost: 1.0147 data_cost: 0.1265 ips: 55.1862 images/s [03/19 05:47:45] ppdet.engine INFO: Epoch: [266] [140/523] learning_rate: 0.008677 loss_vfl: 0.985485 loss_bbox: 0.437866 loss_dfl: 0.406450 loss: 1.804863 eta: 4:33:33 batch_cost: 0.9082 data_cost: 0.0874 ips: 61.6583 images/s [03/19 05:48:04] ppdet.engine INFO: Epoch: [266] [160/523] learning_rate: 0.008658 loss_vfl: 1.022874 loss_bbox: 0.462071 loss_dfl: 0.431062 loss: 1.894828 eta: 4:33:14 batch_cost: 0.7841 data_cost: 0.0019 ips: 71.4167 images/s [03/19 05:48:27] ppdet.engine INFO: Epoch: [266] [180/523] learning_rate: 0.008638 loss_vfl: 0.990038 loss_bbox: 0.443535 loss_dfl: 0.423131 loss: 1.841080 eta: 4:32:55 batch_cost: 0.8764 data_cost: 0.0143 ips: 63.8997 images/s [03/19 05:48:50] ppdet.engine INFO: Epoch: [266] [200/523] learning_rate: 0.008619 loss_vfl: 0.978029 loss_bbox: 0.438315 loss_dfl: 0.418304 loss: 1.826359 eta: 4:32:37 batch_cost: 0.9575 data_cost: 0.0056 ips: 58.4865 images/s [03/19 05:49:12] ppdet.engine INFO: Epoch: [266] [220/523] learning_rate: 0.008599 loss_vfl: 0.970060 loss_bbox: 0.421971 loss_dfl: 0.411504 loss: 1.817711 eta: 4:32:18 batch_cost: 0.9133 data_cost: 0.0043 ips: 61.3156 images/s [03/19 05:49:36] ppdet.engine INFO: Epoch: [266] [240/523] learning_rate: 0.008580 loss_vfl: 0.962756 loss_bbox: 0.438658 loss_dfl: 0.419559 loss: 1.823482 eta: 4:32:00 batch_cost: 1.0650 data_cost: 0.0073 ips: 52.5830 images/s [03/19 05:50:00] ppdet.engine INFO: Epoch: [266] [260/523] learning_rate: 0.008561 loss_vfl: 0.950500 loss_bbox: 0.414346 loss_dfl: 0.399866 loss: 1.747387 eta: 4:31:42 batch_cost: 1.0676 data_cost: 0.0693 ips: 52.4525 images/s [03/19 05:50:25] ppdet.engine INFO: Epoch: [266] [280/523] learning_rate: 0.008541 loss_vfl: 1.013036 loss_bbox: 0.450558 loss_dfl: 0.436800 loss: 1.923633 eta: 4:31:23 batch_cost: 1.0567 data_cost: 0.0010 ips: 52.9932 images/s [03/19 05:50:50] ppdet.engine INFO: Epoch: [266] [300/523] learning_rate: 0.008522 loss_vfl: 0.945654 loss_bbox: 0.425235 loss_dfl: 0.398501 loss: 1.768930 eta: 4:31:05 batch_cost: 0.9998 data_cost: 0.0091 ips: 56.0105 images/s [03/19 05:51:12] ppdet.engine INFO: Epoch: [266] [320/523] learning_rate: 0.008503 loss_vfl: 1.015097 loss_bbox: 0.449057 loss_dfl: 0.432359 loss: 1.893892 eta: 4:30:46 batch_cost: 0.9269 data_cost: 0.0041 ips: 60.4166 images/s [03/19 05:51:38] ppdet.engine INFO: Epoch: [266] [340/523] learning_rate: 0.008483 loss_vfl: 1.000923 loss_bbox: 0.465065 loss_dfl: 0.436700 loss: 1.916952 eta: 4:30:28 batch_cost: 1.1758 data_cost: 0.0541 ips: 47.6288 images/s [03/19 05:52:00] ppdet.engine INFO: Epoch: [266] [360/523] learning_rate: 0.008464 loss_vfl: 1.007702 loss_bbox: 0.435328 loss_dfl: 0.426058 loss: 1.868613 eta: 4:30:10 batch_cost: 0.8529 data_cost: 0.0134 ips: 65.6619 images/s [03/19 05:52:18] ppdet.engine INFO: Epoch: [266] [380/523] learning_rate: 0.008445 loss_vfl: 0.979257 loss_bbox: 0.434331 loss_dfl: 0.421847 loss: 1.842188 eta: 4:29:51 batch_cost: 0.7553 data_cost: 0.0128 ips: 74.1407 images/s [03/19 05:52:39] ppdet.engine INFO: Epoch: [266] [400/523] learning_rate: 0.008426 loss_vfl: 1.029823 loss_bbox: 0.467637 loss_dfl: 0.441392 loss: 1.943604 eta: 4:29:32 batch_cost: 0.9084 data_cost: 0.1577 ips: 61.6476 images/s [03/19 05:53:02] ppdet.engine INFO: Epoch: [266] [420/523] learning_rate: 0.008407 loss_vfl: 0.942985 loss_bbox: 0.420418 loss_dfl: 0.401415 loss: 1.769188 eta: 4:29:13 batch_cost: 0.9474 data_cost: 0.0073 ips: 59.1111 images/s [03/19 05:53:24] ppdet.engine INFO: Epoch: [266] [440/523] learning_rate: 0.008387 loss_vfl: 0.960436 loss_bbox: 0.421376 loss_dfl: 0.399584 loss: 1.783820 eta: 4:28:55 batch_cost: 0.9060 data_cost: 0.0089 ips: 61.8117 images/s [03/19 05:53:48] ppdet.engine INFO: Epoch: [266] [460/523] learning_rate: 0.008368 loss_vfl: 0.974476 loss_bbox: 0.434590 loss_dfl: 0.410812 loss: 1.809710 eta: 4:28:36 batch_cost: 0.8642 data_cost: 0.0700 ips: 64.7984 images/s [03/19 05:54:11] ppdet.engine INFO: Epoch: [266] [480/523] learning_rate: 0.008349 loss_vfl: 0.927533 loss_bbox: 0.419295 loss_dfl: 0.398202 loss: 1.762606 eta: 4:28:17 batch_cost: 0.9340 data_cost: 0.0411 ips: 59.9579 images/s [03/19 05:54:34] ppdet.engine INFO: Epoch: [266] [500/523] learning_rate: 0.008330 loss_vfl: 1.015480 loss_bbox: 0.461354 loss_dfl: 0.441382 loss: 1.933069 eta: 4:27:59 batch_cost: 0.9916 data_cost: 0.1008 ips: 56.4726 images/s [03/19 05:54:54] ppdet.engine INFO: Epoch: [266] [520/523] learning_rate: 0.008311 loss_vfl: 0.971027 loss_bbox: 0.414133 loss_dfl: 0.405121 loss: 1.778538 eta: 4:27:40 batch_cost: 0.8791 data_cost: 0.0562 ips: 63.7017 images/s [03/19 05:55:06] ppdet.engine INFO: Epoch: [267] [ 0/523] learning_rate: 0.008308 loss_vfl: 0.972368 loss_bbox: 0.434532 loss_dfl: 0.410673 loss: 1.799517 eta: 4:27:38 batch_cost: 1.2327 data_cost: 0.4886 ips: 45.4280 images/s [03/19 05:55:29] ppdet.engine INFO: Epoch: [267] [ 20/523] learning_rate: 0.008289 loss_vfl: 1.033927 loss_bbox: 0.446527 loss_dfl: 0.454177 loss: 1.951203 eta: 4:27:20 batch_cost: 0.9386 data_cost: 0.0024 ips: 59.6620 images/s [03/19 05:55:51] ppdet.engine INFO: Epoch: [267] [ 40/523] learning_rate: 0.008270 loss_vfl: 0.967055 loss_bbox: 0.436933 loss_dfl: 0.421647 loss: 1.848648 eta: 4:27:01 batch_cost: 0.9393 data_cost: 0.0848 ips: 59.6179 images/s [03/19 05:56:15] ppdet.engine INFO: Epoch: [267] [ 60/523] learning_rate: 0.008251 loss_vfl: 1.005145 loss_bbox: 0.444036 loss_dfl: 0.426734 loss: 1.891311 eta: 4:26:43 batch_cost: 1.0740 data_cost: 0.1249 ips: 52.1402 images/s [03/19 05:56:34] ppdet.engine INFO: Epoch: [267] [ 80/523] learning_rate: 0.008232 loss_vfl: 1.024477 loss_bbox: 0.456423 loss_dfl: 0.426915 loss: 1.902854 eta: 4:26:24 batch_cost: 0.7769 data_cost: 0.0973 ips: 72.0828 images/s [03/19 05:56:54] ppdet.engine INFO: Epoch: [267] [100/523] learning_rate: 0.008213 loss_vfl: 0.993904 loss_bbox: 0.430668 loss_dfl: 0.423686 loss: 1.876714 eta: 4:26:05 batch_cost: 0.8847 data_cost: 0.1705 ips: 63.2995 images/s [03/19 05:57:12] ppdet.engine INFO: Epoch: [267] [120/523] learning_rate: 0.008194 loss_vfl: 0.958506 loss_bbox: 0.427763 loss_dfl: 0.411551 loss: 1.786396 eta: 4:25:46 batch_cost: 0.8248 data_cost: 0.0741 ips: 67.8920 images/s [03/19 05:57:35] ppdet.engine INFO: Epoch: [267] [140/523] learning_rate: 0.008175 loss_vfl: 1.005807 loss_bbox: 0.417693 loss_dfl: 0.414260 loss: 1.834758 eta: 4:25:28 batch_cost: 0.9988 data_cost: 0.1644 ips: 56.0662 images/s [03/19 05:57:59] ppdet.engine INFO: Epoch: [267] [160/523] learning_rate: 0.008156 loss_vfl: 0.970921 loss_bbox: 0.441996 loss_dfl: 0.429348 loss: 1.856413 eta: 4:25:09 batch_cost: 1.0180 data_cost: 0.1472 ips: 55.0115 images/s [03/19 05:58:20] ppdet.engine INFO: Epoch: [267] [180/523] learning_rate: 0.008137 loss_vfl: 0.942590 loss_bbox: 0.434929 loss_dfl: 0.406022 loss: 1.803217 eta: 4:24:51 batch_cost: 0.8322 data_cost: 0.0660 ips: 67.2915 images/s [03/19 05:58:42] ppdet.engine INFO: Epoch: [267] [200/523] learning_rate: 0.008119 loss_vfl: 0.978273 loss_bbox: 0.412192 loss_dfl: 0.407585 loss: 1.788245 eta: 4:24:32 batch_cost: 0.8880 data_cost: 0.0032 ips: 63.0639 images/s [03/19 05:59:05] ppdet.engine INFO: Epoch: [267] [220/523] learning_rate: 0.008100 loss_vfl: 0.984220 loss_bbox: 0.447362 loss_dfl: 0.425136 loss: 1.877351 eta: 4:24:14 batch_cost: 1.0517 data_cost: 0.0988 ips: 53.2460 images/s [03/19 05:59:27] ppdet.engine INFO: Epoch: [267] [240/523] learning_rate: 0.008081 loss_vfl: 0.951886 loss_bbox: 0.419570 loss_dfl: 0.403653 loss: 1.778615 eta: 4:23:55 batch_cost: 0.9403 data_cost: 0.1580 ips: 59.5554 images/s [03/19 05:59:48] ppdet.engine INFO: Epoch: [267] [260/523] learning_rate: 0.008062 loss_vfl: 0.949794 loss_bbox: 0.430018 loss_dfl: 0.402160 loss: 1.773909 eta: 4:23:36 batch_cost: 0.8770 data_cost: 0.0701 ips: 63.8535 images/s [03/19 06:00:11] ppdet.engine INFO: Epoch: [267] [280/523] learning_rate: 0.008043 loss_vfl: 0.936667 loss_bbox: 0.431489 loss_dfl: 0.403885 loss: 1.744494 eta: 4:23:18 batch_cost: 0.9814 data_cost: 0.3057 ips: 57.0596 images/s [03/19 06:00:32] ppdet.engine INFO: Epoch: [267] [300/523] learning_rate: 0.008025 loss_vfl: 1.001994 loss_bbox: 0.437846 loss_dfl: 0.429984 loss: 1.862182 eta: 4:22:59 batch_cost: 0.8877 data_cost: 0.0978 ips: 63.0840 images/s [03/19 06:00:54] ppdet.engine INFO: Epoch: [267] [320/523] learning_rate: 0.008006 loss_vfl: 0.971712 loss_bbox: 0.426084 loss_dfl: 0.405121 loss: 1.795159 eta: 4:22:41 batch_cost: 0.9677 data_cost: 0.3470 ips: 57.8684 images/s [03/19 06:01:14] ppdet.engine INFO: Epoch: [267] [340/523] learning_rate: 0.007987 loss_vfl: 0.958252 loss_bbox: 0.398046 loss_dfl: 0.400930 loss: 1.735071 eta: 4:22:22 batch_cost: 0.8796 data_cost: 0.1945 ips: 63.6631 images/s [03/19 06:01:34] ppdet.engine INFO: Epoch: [267] [360/523] learning_rate: 0.007968 loss_vfl: 0.978798 loss_bbox: 0.423136 loss_dfl: 0.402947 loss: 1.786912 eta: 4:22:03 batch_cost: 0.8127 data_cost: 0.0477 ips: 68.9093 images/s [03/19 06:01:52] ppdet.engine INFO: Epoch: [267] [380/523] learning_rate: 0.007950 loss_vfl: 0.977767 loss_bbox: 0.432465 loss_dfl: 0.415048 loss: 1.825232 eta: 4:21:44 batch_cost: 0.7202 data_cost: 0.0016 ips: 77.7508 images/s [03/19 06:02:13] ppdet.engine INFO: Epoch: [267] [400/523] learning_rate: 0.007931 loss_vfl: 1.019617 loss_bbox: 0.442020 loss_dfl: 0.425783 loss: 1.911200 eta: 4:21:25 batch_cost: 0.8900 data_cost: 0.0007 ips: 62.9232 images/s [03/19 06:02:37] ppdet.engine INFO: Epoch: [267] [420/523] learning_rate: 0.007912 loss_vfl: 0.989420 loss_bbox: 0.456127 loss_dfl: 0.418357 loss: 1.863467 eta: 4:21:07 batch_cost: 1.0550 data_cost: 0.0722 ips: 53.0825 images/s [03/19 06:02:58] ppdet.engine INFO: Epoch: [267] [440/523] learning_rate: 0.007894 loss_vfl: 0.973460 loss_bbox: 0.441269 loss_dfl: 0.420676 loss: 1.814812 eta: 4:20:48 batch_cost: 0.9368 data_cost: 0.0050 ips: 59.7755 images/s [03/19 06:03:20] ppdet.engine INFO: Epoch: [267] [460/523] learning_rate: 0.007875 loss_vfl: 0.969630 loss_bbox: 0.445456 loss_dfl: 0.436073 loss: 1.860950 eta: 4:20:30 batch_cost: 0.9405 data_cost: 0.0038 ips: 59.5449 images/s [03/19 06:03:42] ppdet.engine INFO: Epoch: [267] [480/523] learning_rate: 0.007857 loss_vfl: 0.964934 loss_bbox: 0.435817 loss_dfl: 0.401894 loss: 1.778750 eta: 4:20:11 batch_cost: 0.9618 data_cost: 0.0053 ips: 58.2254 images/s [03/19 06:04:04] ppdet.engine INFO: Epoch: [267] [500/523] learning_rate: 0.007838 loss_vfl: 0.991225 loss_bbox: 0.429167 loss_dfl: 0.421470 loss: 1.838427 eta: 4:19:53 batch_cost: 0.9446 data_cost: 0.1765 ips: 59.2816 images/s [03/19 06:04:22] ppdet.engine INFO: Epoch: [267] [520/523] learning_rate: 0.007820 loss_vfl: 1.006595 loss_bbox: 0.442808 loss_dfl: 0.424336 loss: 1.888205 eta: 4:19:33 batch_cost: 0.7180 data_cost: 0.1656 ips: 77.9972 images/s [03/19 06:04:34] ppdet.engine INFO: Epoch: [268] [ 0/523] learning_rate: 0.007817 loss_vfl: 1.017466 loss_bbox: 0.442808 loss_dfl: 0.424336 loss: 1.888205 eta: 4:19:32 batch_cost: 1.1304 data_cost: 0.5089 ips: 49.5381 images/s [03/19 06:04:55] ppdet.engine INFO: Epoch: [268] [ 20/523] learning_rate: 0.007798 loss_vfl: 0.967416 loss_bbox: 0.412118 loss_dfl: 0.408921 loss: 1.808140 eta: 4:19:13 batch_cost: 0.8775 data_cost: 0.0074 ips: 63.8206 images/s [03/19 06:05:15] ppdet.engine INFO: Epoch: [268] [ 40/523] learning_rate: 0.007780 loss_vfl: 1.010878 loss_bbox: 0.443497 loss_dfl: 0.427326 loss: 1.889677 eta: 4:18:54 batch_cost: 0.8315 data_cost: 0.0671 ips: 67.3464 images/s [03/19 06:05:37] ppdet.engine INFO: Epoch: [268] [ 60/523] learning_rate: 0.007761 loss_vfl: 1.015232 loss_bbox: 0.457677 loss_dfl: 0.432377 loss: 1.881458 eta: 4:18:35 batch_cost: 0.9589 data_cost: 0.0033 ips: 58.4000 images/s [03/19 06:05:56] ppdet.engine INFO: Epoch: [268] [ 80/523] learning_rate: 0.007743 loss_vfl: 0.888567 loss_bbox: 0.378420 loss_dfl: 0.374014 loss: 1.640066 eta: 4:18:17 batch_cost: 0.8242 data_cost: 0.0565 ips: 67.9470 images/s [03/19 06:06:14] ppdet.engine INFO: Epoch: [268] [100/523] learning_rate: 0.007725 loss_vfl: 0.997600 loss_bbox: 0.431584 loss_dfl: 0.416464 loss: 1.847723 eta: 4:17:58 batch_cost: 0.8035 data_cost: 0.1071 ips: 69.6928 images/s [03/19 06:06:33] ppdet.engine INFO: Epoch: [268] [120/523] learning_rate: 0.007706 loss_vfl: 0.968511 loss_bbox: 0.432686 loss_dfl: 0.411238 loss: 1.811214 eta: 4:17:39 batch_cost: 0.8595 data_cost: 0.1168 ips: 65.1540 images/s [03/19 06:06:53] ppdet.engine INFO: Epoch: [268] [140/523] learning_rate: 0.007688 loss_vfl: 1.008085 loss_bbox: 0.450908 loss_dfl: 0.437708 loss: 1.933587 eta: 4:17:20 batch_cost: 0.7972 data_cost: 0.0031 ips: 70.2455 images/s [03/19 06:07:15] ppdet.engine INFO: Epoch: [268] [160/523] learning_rate: 0.007670 loss_vfl: 0.954871 loss_bbox: 0.406375 loss_dfl: 0.402966 loss: 1.783440 eta: 4:17:01 batch_cost: 0.9751 data_cost: 0.1441 ips: 57.4283 images/s [03/19 06:07:36] ppdet.engine INFO: Epoch: [268] [180/523] learning_rate: 0.007651 loss_vfl: 0.945164 loss_bbox: 0.420027 loss_dfl: 0.403270 loss: 1.754231 eta: 4:16:43 batch_cost: 0.9473 data_cost: 0.1731 ips: 59.1157 images/s [03/19 06:07:56] ppdet.engine INFO: Epoch: [268] [200/523] learning_rate: 0.007633 loss_vfl: 1.010551 loss_bbox: 0.433861 loss_dfl: 0.413514 loss: 1.858366 eta: 4:16:24 batch_cost: 0.8775 data_cost: 0.0609 ips: 63.8154 images/s [03/19 06:08:17] ppdet.engine INFO: Epoch: [268] [220/523] learning_rate: 0.007615 loss_vfl: 0.956511 loss_bbox: 0.418959 loss_dfl: 0.392749 loss: 1.780131 eta: 4:16:05 batch_cost: 0.8988 data_cost: 0.0108 ips: 62.3082 images/s [03/19 06:08:40] ppdet.engine INFO: Epoch: [268] [240/523] learning_rate: 0.007596 loss_vfl: 0.921567 loss_bbox: 0.405072 loss_dfl: 0.390562 loss: 1.722507 eta: 4:15:47 batch_cost: 0.9683 data_cost: 0.0034 ips: 57.8324 images/s [03/19 06:09:01] ppdet.engine INFO: Epoch: [268] [260/523] learning_rate: 0.007578 loss_vfl: 0.966262 loss_bbox: 0.431436 loss_dfl: 0.412348 loss: 1.812158 eta: 4:15:28 batch_cost: 0.8720 data_cost: 0.0019 ips: 64.2225 images/s [03/19 06:09:21] ppdet.engine INFO: Epoch: [268] [280/523] learning_rate: 0.007560 loss_vfl: 0.967530 loss_bbox: 0.406471 loss_dfl: 0.398933 loss: 1.791778 eta: 4:15:09 batch_cost: 0.8634 data_cost: 0.0434 ips: 64.8605 images/s [03/19 06:09:41] ppdet.engine INFO: Epoch: [268] [300/523] learning_rate: 0.007542 loss_vfl: 0.973759 loss_bbox: 0.408180 loss_dfl: 0.405004 loss: 1.790904 eta: 4:14:51 batch_cost: 0.8526 data_cost: 0.1036 ips: 65.6833 images/s [03/19 06:10:03] ppdet.engine INFO: Epoch: [268] [320/523] learning_rate: 0.007524 loss_vfl: 0.998414 loss_bbox: 0.443162 loss_dfl: 0.418952 loss: 1.844986 eta: 4:14:32 batch_cost: 0.9801 data_cost: 0.0415 ips: 57.1361 images/s [03/19 06:10:23] ppdet.engine INFO: Epoch: [268] [340/523] learning_rate: 0.007505 loss_vfl: 1.013105 loss_bbox: 0.465558 loss_dfl: 0.427787 loss: 1.896524 eta: 4:14:13 batch_cost: 0.8520 data_cost: 0.0016 ips: 65.7315 images/s [03/19 06:10:44] ppdet.engine INFO: Epoch: [268] [360/523] learning_rate: 0.007487 loss_vfl: 1.057555 loss_bbox: 0.470517 loss_dfl: 0.447682 loss: 1.984149 eta: 4:13:55 batch_cost: 0.8841 data_cost: 0.0626 ips: 63.3417 images/s [03/19 06:11:04] ppdet.engine INFO: Epoch: [268] [380/523] learning_rate: 0.007469 loss_vfl: 0.975584 loss_bbox: 0.447782 loss_dfl: 0.415663 loss: 1.830713 eta: 4:13:36 batch_cost: 0.8578 data_cost: 0.0338 ips: 65.2807 images/s [03/19 06:11:20] ppdet.engine INFO: Epoch: [268] [400/523] learning_rate: 0.007451 loss_vfl: 0.944342 loss_bbox: 0.414538 loss_dfl: 0.402338 loss: 1.729068 eta: 4:13:17 batch_cost: 0.6975 data_cost: 0.0019 ips: 80.2852 images/s [03/19 06:11:40] ppdet.engine INFO: Epoch: [268] [420/523] learning_rate: 0.007433 loss_vfl: 0.995859 loss_bbox: 0.429183 loss_dfl: 0.414583 loss: 1.866024 eta: 4:12:58 batch_cost: 0.8880 data_cost: 0.1059 ips: 63.0661 images/s [03/19 06:12:02] ppdet.engine INFO: Epoch: [268] [440/523] learning_rate: 0.007415 loss_vfl: 0.965347 loss_bbox: 0.426475 loss_dfl: 0.421966 loss: 1.801403 eta: 4:12:39 batch_cost: 0.9235 data_cost: 0.1501 ips: 60.6389 images/s [03/19 06:12:24] ppdet.engine INFO: Epoch: [268] [460/523] learning_rate: 0.007397 loss_vfl: 0.965964 loss_bbox: 0.436300 loss_dfl: 0.425244 loss: 1.820927 eta: 4:12:21 batch_cost: 0.9581 data_cost: 0.0429 ips: 58.4502 images/s [03/19 06:12:42] ppdet.engine INFO: Epoch: [268] [480/523] learning_rate: 0.007379 loss_vfl: 0.914082 loss_bbox: 0.403462 loss_dfl: 0.394382 loss: 1.708057 eta: 4:12:02 batch_cost: 0.7351 data_cost: 0.0015 ips: 76.1845 images/s [03/19 06:13:03] ppdet.engine INFO: Epoch: [268] [500/523] learning_rate: 0.007361 loss_vfl: 1.005311 loss_bbox: 0.454183 loss_dfl: 0.436004 loss: 1.905479 eta: 4:11:43 batch_cost: 0.8184 data_cost: 0.0427 ips: 68.4237 images/s [03/19 06:13:21] ppdet.engine INFO: Epoch: [268] [520/523] learning_rate: 0.007343 loss_vfl: 0.979635 loss_bbox: 0.412976 loss_dfl: 0.405477 loss: 1.824964 eta: 4:11:24 batch_cost: 0.7862 data_cost: 0.0106 ips: 71.2329 images/s [03/19 06:13:36] ppdet.engine INFO: Epoch: [269] [ 0/523] learning_rate: 0.007340 loss_vfl: 0.981856 loss_bbox: 0.412976 loss_dfl: 0.410805 loss: 1.824964 eta: 4:11:22 batch_cost: 1.3127 data_cost: 0.5303 ips: 42.6614 images/s [03/19 06:13:57] ppdet.engine INFO: Epoch: [269] [ 20/523] learning_rate: 0.007322 loss_vfl: 0.930005 loss_bbox: 0.424197 loss_dfl: 0.404965 loss: 1.745786 eta: 4:11:04 batch_cost: 0.9458 data_cost: 0.0089 ips: 59.2073 images/s [03/19 06:14:17] ppdet.engine INFO: Epoch: [269] [ 40/523] learning_rate: 0.007304 loss_vfl: 0.953984 loss_bbox: 0.434104 loss_dfl: 0.406549 loss: 1.783034 eta: 4:10:45 batch_cost: 0.8863 data_cost: 0.0211 ips: 63.1859 images/s [03/19 06:14:43] ppdet.engine INFO: Epoch: [269] [ 60/523] learning_rate: 0.007286 loss_vfl: 0.954105 loss_bbox: 0.431497 loss_dfl: 0.407420 loss: 1.790927 eta: 4:10:27 batch_cost: 1.1189 data_cost: 0.0015 ips: 50.0474 images/s [03/19 06:15:03] ppdet.engine INFO: Epoch: [269] [ 80/523] learning_rate: 0.007269 loss_vfl: 0.996453 loss_bbox: 0.427425 loss_dfl: 0.424028 loss: 1.873038 eta: 4:10:08 batch_cost: 0.8818 data_cost: 0.0117 ips: 63.5038 images/s [03/19 06:15:25] ppdet.engine INFO: Epoch: [269] [100/523] learning_rate: 0.007251 loss_vfl: 1.022676 loss_bbox: 0.457281 loss_dfl: 0.436175 loss: 1.949666 eta: 4:09:50 batch_cost: 0.9507 data_cost: 0.0063 ips: 58.9019 images/s [03/19 06:15:46] ppdet.engine INFO: Epoch: [269] [120/523] learning_rate: 0.007233 loss_vfl: 0.965612 loss_bbox: 0.425567 loss_dfl: 0.404738 loss: 1.826517 eta: 4:09:31 batch_cost: 0.8653 data_cost: 0.1211 ips: 64.7198 images/s [03/19 06:16:04] ppdet.engine INFO: Epoch: [269] [140/523] learning_rate: 0.007215 loss_vfl: 0.975626 loss_bbox: 0.441592 loss_dfl: 0.423421 loss: 1.831728 eta: 4:09:12 batch_cost: 0.7595 data_cost: 0.0036 ips: 73.7364 images/s [03/19 06:16:26] ppdet.engine INFO: Epoch: [269] [160/523] learning_rate: 0.007197 loss_vfl: 1.018375 loss_bbox: 0.469751 loss_dfl: 0.442486 loss: 1.927633 eta: 4:08:53 batch_cost: 0.9109 data_cost: 0.1596 ips: 61.4768 images/s [03/19 06:16:49] ppdet.engine INFO: Epoch: [269] [180/523] learning_rate: 0.007180 loss_vfl: 1.032483 loss_bbox: 0.443897 loss_dfl: 0.435126 loss: 1.916063 eta: 4:08:35 batch_cost: 0.9553 data_cost: 0.1508 ips: 58.6229 images/s [03/19 06:17:11] ppdet.engine INFO: Epoch: [269] [200/523] learning_rate: 0.007162 loss_vfl: 1.000788 loss_bbox: 0.447752 loss_dfl: 0.426811 loss: 1.892094 eta: 4:08:16 batch_cost: 0.9461 data_cost: 0.1337 ips: 59.1929 images/s [03/19 06:17:34] ppdet.engine INFO: Epoch: [269] [220/523] learning_rate: 0.007144 loss_vfl: 0.990637 loss_bbox: 0.451628 loss_dfl: 0.422490 loss: 1.841097 eta: 4:07:58 batch_cost: 0.9864 data_cost: 0.1682 ips: 56.7739 images/s [03/19 06:17:56] ppdet.engine INFO: Epoch: [269] [240/523] learning_rate: 0.007126 loss_vfl: 0.997615 loss_bbox: 0.458592 loss_dfl: 0.432041 loss: 1.881982 eta: 4:07:39 batch_cost: 1.0042 data_cost: 0.1707 ips: 55.7637 images/s [03/19 06:18:19] ppdet.engine INFO: Epoch: [269] [260/523] learning_rate: 0.007109 loss_vfl: 0.970216 loss_bbox: 0.433844 loss_dfl: 0.408013 loss: 1.834600 eta: 4:07:21 batch_cost: 0.9021 data_cost: 0.1426 ips: 62.0754 images/s [03/19 06:18:39] ppdet.engine INFO: Epoch: [269] [280/523] learning_rate: 0.007091 loss_vfl: 0.997369 loss_bbox: 0.446784 loss_dfl: 0.423929 loss: 1.878573 eta: 4:07:02 batch_cost: 0.8760 data_cost: 0.1167 ips: 63.9271 images/s [03/19 06:19:03] ppdet.engine INFO: Epoch: [269] [300/523] learning_rate: 0.007073 loss_vfl: 1.014388 loss_bbox: 0.441891 loss_dfl: 0.424797 loss: 1.878336 eta: 4:06:43 batch_cost: 1.0186 data_cost: 0.3351 ips: 54.9790 images/s [03/19 06:19:24] ppdet.engine INFO: Epoch: [269] [320/523] learning_rate: 0.007056 loss_vfl: 1.007505 loss_bbox: 0.449628 loss_dfl: 0.432640 loss: 1.894003 eta: 4:06:25 batch_cost: 0.9312 data_cost: 0.1710 ips: 60.1356 images/s [03/19 06:19:48] ppdet.engine INFO: Epoch: [269] [340/523] learning_rate: 0.007038 loss_vfl: 1.021088 loss_bbox: 0.454670 loss_dfl: 0.434020 loss: 1.877805 eta: 4:06:06 batch_cost: 1.0102 data_cost: 0.2820 ips: 55.4367 images/s [03/19 06:20:09] ppdet.engine INFO: Epoch: [269] [360/523] learning_rate: 0.007021 loss_vfl: 0.965117 loss_bbox: 0.429910 loss_dfl: 0.412830 loss: 1.801696 eta: 4:05:48 batch_cost: 0.9325 data_cost: 0.2415 ips: 60.0548 images/s [03/19 06:20:26] ppdet.engine INFO: Epoch: [269] [380/523] learning_rate: 0.007003 loss_vfl: 0.951930 loss_bbox: 0.433355 loss_dfl: 0.417774 loss: 1.817304 eta: 4:05:29 batch_cost: 0.6998 data_cost: 0.0073 ips: 80.0238 images/s [03/19 06:20:44] ppdet.engine INFO: Epoch: [269] [400/523] learning_rate: 0.006986 loss_vfl: 1.041475 loss_bbox: 0.451696 loss_dfl: 0.431048 loss: 1.931876 eta: 4:05:10 batch_cost: 0.7654 data_cost: 0.0036 ips: 73.1619 images/s [03/19 06:21:05] ppdet.engine INFO: Epoch: [269] [420/523] learning_rate: 0.006968 loss_vfl: 1.010169 loss_bbox: 0.427959 loss_dfl: 0.422469 loss: 1.874521 eta: 4:04:51 batch_cost: 0.8587 data_cost: 0.0319 ips: 65.2176 images/s [03/19 06:21:28] ppdet.engine INFO: Epoch: [269] [440/523] learning_rate: 0.006951 loss_vfl: 0.941556 loss_bbox: 0.420813 loss_dfl: 0.398329 loss: 1.752174 eta: 4:04:32 batch_cost: 0.9417 data_cost: 0.1744 ips: 59.4691 images/s [03/19 06:21:49] ppdet.engine INFO: Epoch: [269] [460/523] learning_rate: 0.006933 loss_vfl: 0.920504 loss_bbox: 0.406166 loss_dfl: 0.387201 loss: 1.703296 eta: 4:04:14 batch_cost: 0.9196 data_cost: 0.1261 ips: 60.8947 images/s [03/19 06:22:11] ppdet.engine INFO: Epoch: [269] [480/523] learning_rate: 0.006916 loss_vfl: 0.973933 loss_bbox: 0.439272 loss_dfl: 0.417988 loss: 1.820912 eta: 4:03:55 batch_cost: 0.9153 data_cost: 0.1719 ips: 61.1852 images/s [03/19 06:22:35] ppdet.engine INFO: Epoch: [269] [500/523] learning_rate: 0.006898 loss_vfl: 0.997920 loss_bbox: 0.435991 loss_dfl: 0.420590 loss: 1.867022 eta: 4:03:37 batch_cost: 1.0298 data_cost: 0.3302 ips: 54.3792 images/s [03/19 06:22:52] ppdet.engine INFO: Epoch: [269] [520/523] learning_rate: 0.006881 loss_vfl: 0.919013 loss_bbox: 0.417513 loss_dfl: 0.403418 loss: 1.747114 eta: 4:03:18 batch_cost: 0.6945 data_cost: 0.0900 ips: 80.6289 images/s [03/19 06:22:54] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 06:22:55] ppdet.engine INFO: Eval iter: 0 [03/19 06:23:17] ppdet.engine INFO: Eval iter: 100 [03/19 06:23:27] ppdet.engine INFO: Eval iter: 200 [03/19 06:23:37] ppdet.engine INFO: Eval iter: 300 [03/19 06:23:47] ppdet.engine INFO: Eval iter: 400 [03/19 06:23:57] ppdet.engine INFO: Eval iter: 500 [03/19 06:24:07] ppdet.engine INFO: Eval iter: 600 [03/19 06:24:21] 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 06:24:22] 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=84.36s). Accumulating evaluation results... DONE (t=16.48s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.392 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.277 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.083 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.440 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.255 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.410 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.438 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.164 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.485 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.692 [03/19 06:26:10] ppdet.engine INFO: Total sample number: 4952, averge FPS: 65.97623808975608 [03/19 06:26:10] ppdet.engine INFO: Best test bbox ap is 0.261. [03/19 06:26:10] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 06:26:10] ppdet.engine INFO: Epoch: [270] [ 0/523] learning_rate: 0.006878 loss_vfl: 0.942172 loss_bbox: 0.434814 loss_dfl: 0.412164 loss: 1.800975 eta: 4:03:15 batch_cost: 0.6574 data_cost: 0.0900 ips: 85.1849 images/s [03/19 06:26:29] ppdet.engine INFO: Epoch: [270] [ 20/523] learning_rate: 0.006861 loss_vfl: 0.994260 loss_bbox: 0.444235 loss_dfl: 0.418518 loss: 1.875739 eta: 4:02:56 batch_cost: 0.7530 data_cost: 0.1732 ips: 74.3741 images/s [03/19 06:26:54] ppdet.engine INFO: Epoch: [270] [ 40/523] learning_rate: 0.006843 loss_vfl: 0.983752 loss_bbox: 0.426702 loss_dfl: 0.400977 loss: 1.785699 eta: 4:02:37 batch_cost: 1.0553 data_cost: 0.0520 ips: 53.0651 images/s [03/19 06:27:18] ppdet.engine INFO: Epoch: [270] [ 60/523] learning_rate: 0.006826 loss_vfl: 1.049275 loss_bbox: 0.482970 loss_dfl: 0.454496 loss: 1.977241 eta: 4:02:19 batch_cost: 1.0042 data_cost: 0.2323 ips: 55.7645 images/s [03/19 06:27:41] ppdet.engine INFO: Epoch: [270] [ 80/523] learning_rate: 0.006809 loss_vfl: 0.982136 loss_bbox: 0.418440 loss_dfl: 0.402868 loss: 1.807982 eta: 4:02:00 batch_cost: 1.0235 data_cost: 0.0196 ips: 54.7158 images/s [03/19 06:28:04] ppdet.engine INFO: Epoch: [270] [100/523] learning_rate: 0.006791 loss_vfl: 0.971592 loss_bbox: 0.440499 loss_dfl: 0.414880 loss: 1.832921 eta: 4:01:42 batch_cost: 1.0339 data_cost: 0.0566 ips: 54.1642 images/s [03/19 06:28:27] ppdet.engine INFO: Epoch: [270] [120/523] learning_rate: 0.006774 loss_vfl: 0.982027 loss_bbox: 0.439372 loss_dfl: 0.415941 loss: 1.828161 eta: 4:01:23 batch_cost: 0.9784 data_cost: 0.0534 ips: 57.2350 images/s [03/19 06:28:50] ppdet.engine INFO: Epoch: [270] [140/523] learning_rate: 0.006757 loss_vfl: 0.966408 loss_bbox: 0.431145 loss_dfl: 0.414214 loss: 1.846142 eta: 4:01:05 batch_cost: 0.9946 data_cost: 0.0580 ips: 56.3065 images/s [03/19 06:29:08] ppdet.engine INFO: Epoch: [270] [160/523] learning_rate: 0.006740 loss_vfl: 0.980058 loss_bbox: 0.435231 loss_dfl: 0.427382 loss: 1.861766 eta: 4:00:46 batch_cost: 0.7330 data_cost: 0.0026 ips: 76.3987 images/s [03/19 06:29:27] ppdet.engine INFO: Epoch: [270] [180/523] learning_rate: 0.006723 loss_vfl: 0.908228 loss_bbox: 0.428750 loss_dfl: 0.397360 loss: 1.711720 eta: 4:00:27 batch_cost: 0.8036 data_cost: 0.0039 ips: 69.6875 images/s [03/19 06:29:50] ppdet.engine INFO: Epoch: [270] [200/523] learning_rate: 0.006705 loss_vfl: 0.980230 loss_bbox: 0.442866 loss_dfl: 0.420024 loss: 1.833320 eta: 4:00:09 batch_cost: 0.9480 data_cost: 0.0055 ips: 59.0715 images/s [03/19 06:30:12] ppdet.engine INFO: Epoch: [270] [220/523] learning_rate: 0.006688 loss_vfl: 0.938003 loss_bbox: 0.429460 loss_dfl: 0.403513 loss: 1.759269 eta: 3:59:50 batch_cost: 0.9624 data_cost: 0.0043 ips: 58.1850 images/s [03/19 06:30:35] ppdet.engine INFO: Epoch: [270] [240/523] learning_rate: 0.006671 loss_vfl: 1.027871 loss_bbox: 0.458356 loss_dfl: 0.434849 loss: 1.921612 eta: 3:59:31 batch_cost: 0.9621 data_cost: 0.0397 ips: 58.2041 images/s [03/19 06:30:58] ppdet.engine INFO: Epoch: [270] [260/523] learning_rate: 0.006654 loss_vfl: 0.968892 loss_bbox: 0.425892 loss_dfl: 0.404886 loss: 1.794540 eta: 3:59:13 batch_cost: 0.9265 data_cost: 0.1636 ips: 60.4448 images/s [03/19 06:31:22] ppdet.engine INFO: Epoch: [270] [280/523] learning_rate: 0.006637 loss_vfl: 0.962077 loss_bbox: 0.413146 loss_dfl: 0.412356 loss: 1.798315 eta: 3:58:54 batch_cost: 1.0282 data_cost: 0.1096 ips: 54.4615 images/s [03/19 06:31:43] ppdet.engine INFO: Epoch: [270] [300/523] learning_rate: 0.006620 loss_vfl: 0.987492 loss_bbox: 0.436887 loss_dfl: 0.416121 loss: 1.844378 eta: 3:58:36 batch_cost: 0.9023 data_cost: 0.0246 ips: 62.0648 images/s [03/19 06:32:07] ppdet.engine INFO: Epoch: [270] [320/523] learning_rate: 0.006603 loss_vfl: 0.938181 loss_bbox: 0.423092 loss_dfl: 0.403242 loss: 1.736030 eta: 3:58:17 batch_cost: 1.0114 data_cost: 0.0785 ips: 55.3704 images/s [03/19 06:32:30] ppdet.engine INFO: Epoch: [270] [340/523] learning_rate: 0.006586 loss_vfl: 0.967392 loss_bbox: 0.430855 loss_dfl: 0.408735 loss: 1.817588 eta: 3:57:59 batch_cost: 0.8615 data_cost: 0.0087 ips: 65.0001 images/s [03/19 06:32:54] ppdet.engine INFO: Epoch: [270] [360/523] learning_rate: 0.006569 loss_vfl: 0.969896 loss_bbox: 0.435678 loss_dfl: 0.408101 loss: 1.810417 eta: 3:57:40 batch_cost: 1.0736 data_cost: 0.0683 ips: 52.1629 images/s [03/19 06:33:15] ppdet.engine INFO: Epoch: [270] [380/523] learning_rate: 0.006552 loss_vfl: 0.898681 loss_bbox: 0.405187 loss_dfl: 0.389515 loss: 1.702127 eta: 3:57:22 batch_cost: 0.9262 data_cost: 0.0022 ips: 60.4625 images/s [03/19 06:33:34] ppdet.engine INFO: Epoch: [270] [400/523] learning_rate: 0.006535 loss_vfl: 0.985897 loss_bbox: 0.463217 loss_dfl: 0.424984 loss: 1.864057 eta: 3:57:03 batch_cost: 0.7346 data_cost: 0.0062 ips: 76.2358 images/s [03/19 06:33:52] ppdet.engine INFO: Epoch: [270] [420/523] learning_rate: 0.006518 loss_vfl: 0.998657 loss_bbox: 0.452600 loss_dfl: 0.426377 loss: 1.877550 eta: 3:56:44 batch_cost: 0.7226 data_cost: 0.0052 ips: 77.4967 images/s [03/19 06:34:14] ppdet.engine INFO: Epoch: [270] [440/523] learning_rate: 0.006501 loss_vfl: 1.001535 loss_bbox: 0.450456 loss_dfl: 0.429221 loss: 1.861217 eta: 3:56:25 batch_cost: 1.0060 data_cost: 0.0023 ips: 55.6667 images/s [03/19 06:34:35] ppdet.engine INFO: Epoch: [270] [460/523] learning_rate: 0.006484 loss_vfl: 0.994880 loss_bbox: 0.452603 loss_dfl: 0.433488 loss: 1.896805 eta: 3:56:06 batch_cost: 0.8825 data_cost: 0.0242 ips: 63.4564 images/s [03/19 06:34:59] ppdet.engine INFO: Epoch: [270] [480/523] learning_rate: 0.006467 loss_vfl: 0.975097 loss_bbox: 0.445928 loss_dfl: 0.421400 loss: 1.871572 eta: 3:55:48 batch_cost: 1.0183 data_cost: 0.0047 ips: 54.9927 images/s [03/19 06:35:21] ppdet.engine INFO: Epoch: [270] [500/523] learning_rate: 0.006450 loss_vfl: 0.914642 loss_bbox: 0.400229 loss_dfl: 0.391184 loss: 1.686456 eta: 3:55:29 batch_cost: 0.9039 data_cost: 0.0074 ips: 61.9526 images/s [03/19 06:35:39] ppdet.engine INFO: Epoch: [270] [520/523] learning_rate: 0.006433 loss_vfl: 0.997684 loss_bbox: 0.462761 loss_dfl: 0.420229 loss: 1.891483 eta: 3:55:11 batch_cost: 0.8135 data_cost: 0.0637 ips: 68.8382 images/s [03/19 06:35:52] ppdet.engine INFO: Epoch: [271] [ 0/523] learning_rate: 0.006431 loss_vfl: 0.997684 loss_bbox: 0.455264 loss_dfl: 0.417323 loss: 1.879108 eta: 3:55:09 batch_cost: 1.2614 data_cost: 0.4604 ips: 44.3956 images/s [03/19 06:36:14] ppdet.engine INFO: Epoch: [271] [ 20/523] learning_rate: 0.006414 loss_vfl: 1.032123 loss_bbox: 0.463730 loss_dfl: 0.435354 loss: 1.936461 eta: 3:54:50 batch_cost: 0.8617 data_cost: 0.0063 ips: 64.9876 images/s [03/19 06:36:34] ppdet.engine INFO: Epoch: [271] [ 40/523] learning_rate: 0.006397 loss_vfl: 0.963585 loss_bbox: 0.457916 loss_dfl: 0.406733 loss: 1.800081 eta: 3:54:31 batch_cost: 0.8551 data_cost: 0.0223 ips: 65.4919 images/s [03/19 06:36:59] ppdet.engine INFO: Epoch: [271] [ 60/523] learning_rate: 0.006380 loss_vfl: 0.972238 loss_bbox: 0.443269 loss_dfl: 0.419630 loss: 1.859083 eta: 3:54:13 batch_cost: 1.0431 data_cost: 0.2042 ips: 53.6847 images/s [03/19 06:37:20] ppdet.engine INFO: Epoch: [271] [ 80/523] learning_rate: 0.006364 loss_vfl: 0.969510 loss_bbox: 0.426696 loss_dfl: 0.411355 loss: 1.802348 eta: 3:53:54 batch_cost: 0.9113 data_cost: 0.0595 ips: 61.4503 images/s [03/19 06:37:41] ppdet.engine INFO: Epoch: [271] [100/523] learning_rate: 0.006347 loss_vfl: 0.972511 loss_bbox: 0.422479 loss_dfl: 0.399759 loss: 1.791094 eta: 3:53:36 batch_cost: 0.9273 data_cost: 0.3147 ips: 60.3936 images/s [03/19 06:38:02] ppdet.engine INFO: Epoch: [271] [120/523] learning_rate: 0.006330 loss_vfl: 0.991367 loss_bbox: 0.455541 loss_dfl: 0.422569 loss: 1.875359 eta: 3:53:17 batch_cost: 0.9023 data_cost: 0.0658 ips: 62.0647 images/s [03/19 06:38:20] ppdet.engine INFO: Epoch: [271] [140/523] learning_rate: 0.006313 loss_vfl: 0.991717 loss_bbox: 0.455854 loss_dfl: 0.443267 loss: 1.926812 eta: 3:52:58 batch_cost: 0.8196 data_cost: 0.1434 ips: 68.3250 images/s [03/19 06:38:39] ppdet.engine INFO: Epoch: [271] [160/523] learning_rate: 0.006297 loss_vfl: 0.977367 loss_bbox: 0.425935 loss_dfl: 0.419608 loss: 1.821641 eta: 3:52:39 batch_cost: 0.8158 data_cost: 0.0343 ips: 68.6428 images/s [03/19 06:39:00] ppdet.engine INFO: Epoch: [271] [180/523] learning_rate: 0.006280 loss_vfl: 1.020131 loss_bbox: 0.427241 loss_dfl: 0.420143 loss: 1.861919 eta: 3:52:21 batch_cost: 0.9282 data_cost: 0.0015 ips: 60.3321 images/s [03/19 06:39:22] ppdet.engine INFO: Epoch: [271] [200/523] learning_rate: 0.006264 loss_vfl: 1.035782 loss_bbox: 0.452322 loss_dfl: 0.428089 loss: 1.930321 eta: 3:52:02 batch_cost: 0.9323 data_cost: 0.0032 ips: 60.0656 images/s [03/19 06:39:42] ppdet.engine INFO: Epoch: [271] [220/523] learning_rate: 0.006247 loss_vfl: 0.961067 loss_bbox: 0.416774 loss_dfl: 0.398977 loss: 1.811942 eta: 3:51:43 batch_cost: 0.9247 data_cost: 0.0015 ips: 60.5570 images/s [03/19 06:40:05] ppdet.engine INFO: Epoch: [271] [240/523] learning_rate: 0.006230 loss_vfl: 1.013678 loss_bbox: 0.441901 loss_dfl: 0.432048 loss: 1.919505 eta: 3:51:25 batch_cost: 0.9874 data_cost: 0.0018 ips: 56.7118 images/s [03/19 06:40:26] ppdet.engine INFO: Epoch: [271] [260/523] learning_rate: 0.006214 loss_vfl: 0.915033 loss_bbox: 0.407000 loss_dfl: 0.388274 loss: 1.713194 eta: 3:51:06 batch_cost: 0.8510 data_cost: 0.0025 ips: 65.8024 images/s [03/19 06:40:47] ppdet.engine INFO: Epoch: [271] [280/523] learning_rate: 0.006197 loss_vfl: 0.949353 loss_bbox: 0.424142 loss_dfl: 0.389509 loss: 1.769969 eta: 3:50:48 batch_cost: 0.9691 data_cost: 0.1684 ips: 57.7857 images/s [03/19 06:41:09] ppdet.engine INFO: Epoch: [271] [300/523] learning_rate: 0.006181 loss_vfl: 1.002346 loss_bbox: 0.426290 loss_dfl: 0.419993 loss: 1.852626 eta: 3:50:29 batch_cost: 0.9138 data_cost: 0.1775 ips: 61.2817 images/s [03/19 06:41:29] ppdet.engine INFO: Epoch: [271] [320/523] learning_rate: 0.006164 loss_vfl: 1.005327 loss_bbox: 0.465470 loss_dfl: 0.431865 loss: 1.904657 eta: 3:50:10 batch_cost: 0.9126 data_cost: 0.0321 ips: 61.3661 images/s [03/19 06:41:50] ppdet.engine INFO: Epoch: [271] [340/523] learning_rate: 0.006148 loss_vfl: 0.975149 loss_bbox: 0.431015 loss_dfl: 0.405390 loss: 1.837167 eta: 3:49:52 batch_cost: 0.8461 data_cost: 0.0078 ips: 66.1847 images/s [03/19 06:42:12] ppdet.engine INFO: Epoch: [271] [360/523] learning_rate: 0.006131 loss_vfl: 0.889693 loss_bbox: 0.407655 loss_dfl: 0.390900 loss: 1.676535 eta: 3:49:33 batch_cost: 0.9591 data_cost: 0.0516 ips: 58.3908 images/s [03/19 06:42:33] ppdet.engine INFO: Epoch: [271] [380/523] learning_rate: 0.006115 loss_vfl: 0.916419 loss_bbox: 0.404612 loss_dfl: 0.400285 loss: 1.767319 eta: 3:49:14 batch_cost: 0.9007 data_cost: 0.0808 ips: 62.1746 images/s [03/19 06:42:53] ppdet.engine INFO: Epoch: [271] [400/523] learning_rate: 0.006098 loss_vfl: 0.993244 loss_bbox: 0.432222 loss_dfl: 0.425713 loss: 1.856369 eta: 3:48:55 batch_cost: 0.8023 data_cost: 0.0818 ips: 69.7973 images/s [03/19 06:43:11] ppdet.engine INFO: Epoch: [271] [420/523] learning_rate: 0.006082 loss_vfl: 1.001422 loss_bbox: 0.435539 loss_dfl: 0.422287 loss: 1.843553 eta: 3:48:37 batch_cost: 0.8004 data_cost: 0.0377 ips: 69.9691 images/s [03/19 06:43:31] ppdet.engine INFO: Epoch: [271] [440/523] learning_rate: 0.006066 loss_vfl: 0.916235 loss_bbox: 0.402459 loss_dfl: 0.389988 loss: 1.711153 eta: 3:48:18 batch_cost: 0.8182 data_cost: 0.0079 ips: 68.4455 images/s [03/19 06:43:54] ppdet.engine INFO: Epoch: [271] [460/523] learning_rate: 0.006049 loss_vfl: 0.982228 loss_bbox: 0.437510 loss_dfl: 0.406332 loss: 1.810635 eta: 3:47:59 batch_cost: 1.0035 data_cost: 0.1319 ips: 55.8059 images/s [03/19 06:44:15] ppdet.engine INFO: Epoch: [271] [480/523] learning_rate: 0.006033 loss_vfl: 0.973174 loss_bbox: 0.419168 loss_dfl: 0.408257 loss: 1.805234 eta: 3:47:41 batch_cost: 0.9094 data_cost: 0.2074 ips: 61.5791 images/s [03/19 06:44:36] ppdet.engine INFO: Epoch: [271] [500/523] learning_rate: 0.006017 loss_vfl: 1.010062 loss_bbox: 0.424206 loss_dfl: 0.413822 loss: 1.816610 eta: 3:47:22 batch_cost: 0.9483 data_cost: 0.2733 ips: 59.0507 images/s [03/19 06:44:53] ppdet.engine INFO: Epoch: [271] [520/523] learning_rate: 0.006000 loss_vfl: 0.979451 loss_bbox: 0.438735 loss_dfl: 0.418929 loss: 1.821338 eta: 3:47:03 batch_cost: 0.7182 data_cost: 0.0778 ips: 77.9743 images/s [03/19 06:45:05] ppdet.engine INFO: Epoch: [272] [ 0/523] learning_rate: 0.005998 loss_vfl: 0.979451 loss_bbox: 0.432553 loss_dfl: 0.418929 loss: 1.821338 eta: 3:47:01 batch_cost: 1.0218 data_cost: 0.4647 ips: 54.8068 images/s [03/19 06:45:29] ppdet.engine INFO: Epoch: [272] [ 20/523] learning_rate: 0.005982 loss_vfl: 0.974026 loss_bbox: 0.425427 loss_dfl: 0.408255 loss: 1.833289 eta: 3:46:43 batch_cost: 1.0752 data_cost: 0.0906 ips: 52.0809 images/s [03/19 06:45:51] ppdet.engine INFO: Epoch: [272] [ 40/523] learning_rate: 0.005966 loss_vfl: 1.002842 loss_bbox: 0.448894 loss_dfl: 0.423454 loss: 1.894793 eta: 3:46:24 batch_cost: 0.8855 data_cost: 0.0055 ips: 63.2444 images/s [03/19 06:46:13] ppdet.engine INFO: Epoch: [272] [ 60/523] learning_rate: 0.005949 loss_vfl: 1.000645 loss_bbox: 0.445505 loss_dfl: 0.430999 loss: 1.869897 eta: 3:46:05 batch_cost: 0.9361 data_cost: 0.1820 ips: 59.8195 images/s [03/19 06:46:39] ppdet.engine INFO: Epoch: [272] [ 80/523] learning_rate: 0.005933 loss_vfl: 0.954679 loss_bbox: 0.438466 loss_dfl: 0.422382 loss: 1.819861 eta: 3:45:47 batch_cost: 1.1797 data_cost: 0.3709 ips: 47.4715 images/s [03/19 06:47:01] ppdet.engine INFO: Epoch: [272] [100/523] learning_rate: 0.005917 loss_vfl: 0.944187 loss_bbox: 0.409956 loss_dfl: 0.406890 loss: 1.775202 eta: 3:45:29 batch_cost: 0.9217 data_cost: 0.0042 ips: 60.7570 images/s [03/19 06:47:22] ppdet.engine INFO: Epoch: [272] [120/523] learning_rate: 0.005901 loss_vfl: 0.974215 loss_bbox: 0.427349 loss_dfl: 0.410639 loss: 1.836332 eta: 3:45:10 batch_cost: 0.8555 data_cost: 0.0020 ips: 65.4584 images/s [03/19 06:47:42] ppdet.engine INFO: Epoch: [272] [140/523] learning_rate: 0.005885 loss_vfl: 0.979196 loss_bbox: 0.430355 loss_dfl: 0.410041 loss: 1.817489 eta: 3:44:51 batch_cost: 0.8042 data_cost: 0.0027 ips: 69.6332 images/s [03/19 06:48:01] ppdet.engine INFO: Epoch: [272] [160/523] learning_rate: 0.005869 loss_vfl: 0.984107 loss_bbox: 0.455958 loss_dfl: 0.437298 loss: 1.868790 eta: 3:44:32 batch_cost: 0.7825 data_cost: 0.0041 ips: 71.5679 images/s [03/19 06:48:24] ppdet.engine INFO: Epoch: [272] [180/523] learning_rate: 0.005853 loss_vfl: 0.982390 loss_bbox: 0.432568 loss_dfl: 0.412317 loss: 1.827040 eta: 3:44:14 batch_cost: 0.9589 data_cost: 0.0822 ips: 58.4011 images/s [03/19 06:48:48] ppdet.engine INFO: Epoch: [272] [200/523] learning_rate: 0.005836 loss_vfl: 0.982621 loss_bbox: 0.447691 loss_dfl: 0.421521 loss: 1.831945 eta: 3:43:55 batch_cost: 1.1048 data_cost: 0.2888 ips: 50.6895 images/s [03/19 06:49:09] ppdet.engine INFO: Epoch: [272] [220/523] learning_rate: 0.005820 loss_vfl: 1.025173 loss_bbox: 0.430055 loss_dfl: 0.428859 loss: 1.912402 eta: 3:43:37 batch_cost: 0.8732 data_cost: 0.0489 ips: 64.1348 images/s [03/19 06:49:33] ppdet.engine INFO: Epoch: [272] [240/523] learning_rate: 0.005804 loss_vfl: 0.982900 loss_bbox: 0.410671 loss_dfl: 0.406421 loss: 1.794780 eta: 3:43:18 batch_cost: 1.0914 data_cost: 0.2730 ips: 51.3093 images/s [03/19 06:49:55] ppdet.engine INFO: Epoch: [272] [260/523] learning_rate: 0.005788 loss_vfl: 0.928519 loss_bbox: 0.419243 loss_dfl: 0.401242 loss: 1.780189 eta: 3:43:00 batch_cost: 0.9009 data_cost: 0.0517 ips: 62.1573 images/s [03/19 06:50:15] ppdet.engine INFO: Epoch: [272] [280/523] learning_rate: 0.005772 loss_vfl: 0.999560 loss_bbox: 0.440084 loss_dfl: 0.420033 loss: 1.882868 eta: 3:42:41 batch_cost: 0.8610 data_cost: 0.0090 ips: 65.0442 images/s [03/19 06:50:38] ppdet.engine INFO: Epoch: [272] [300/523] learning_rate: 0.005756 loss_vfl: 0.978158 loss_bbox: 0.428330 loss_dfl: 0.417574 loss: 1.819292 eta: 3:42:23 batch_cost: 1.0353 data_cost: 0.0708 ips: 54.0916 images/s [03/19 06:51:02] ppdet.engine INFO: Epoch: [272] [320/523] learning_rate: 0.005741 loss_vfl: 1.016246 loss_bbox: 0.434559 loss_dfl: 0.419725 loss: 1.874592 eta: 3:42:04 batch_cost: 0.9835 data_cost: 0.0939 ips: 56.9370 images/s [03/19 06:51:22] ppdet.engine INFO: Epoch: [272] [340/523] learning_rate: 0.005725 loss_vfl: 0.993978 loss_bbox: 0.445608 loss_dfl: 0.426264 loss: 1.859540 eta: 3:41:45 batch_cost: 0.8627 data_cost: 0.1555 ips: 64.9111 images/s [03/19 06:51:46] ppdet.engine INFO: Epoch: [272] [360/523] learning_rate: 0.005709 loss_vfl: 0.991690 loss_bbox: 0.439762 loss_dfl: 0.426069 loss: 1.883545 eta: 3:41:27 batch_cost: 1.0502 data_cost: 0.1456 ips: 53.3211 images/s [03/19 06:52:05] ppdet.engine INFO: Epoch: [272] [380/523] learning_rate: 0.005693 loss_vfl: 0.944842 loss_bbox: 0.410157 loss_dfl: 0.396546 loss: 1.748663 eta: 3:41:08 batch_cost: 0.7864 data_cost: 0.0056 ips: 71.2150 images/s [03/19 06:52:24] ppdet.engine INFO: Epoch: [272] [400/523] learning_rate: 0.005677 loss_vfl: 0.949325 loss_bbox: 0.431472 loss_dfl: 0.403414 loss: 1.764000 eta: 3:40:49 batch_cost: 0.7744 data_cost: 0.0615 ips: 72.3168 images/s [03/19 06:52:45] ppdet.engine INFO: Epoch: [272] [420/523] learning_rate: 0.005661 loss_vfl: 0.989019 loss_bbox: 0.451985 loss_dfl: 0.425455 loss: 1.847402 eta: 3:40:31 batch_cost: 0.9338 data_cost: 0.1362 ips: 59.9726 images/s [03/19 06:53:07] ppdet.engine INFO: Epoch: [272] [440/523] learning_rate: 0.005645 loss_vfl: 0.972559 loss_bbox: 0.420287 loss_dfl: 0.412993 loss: 1.808279 eta: 3:40:12 batch_cost: 0.9311 data_cost: 0.1402 ips: 60.1421 images/s [03/19 06:53:30] ppdet.engine INFO: Epoch: [272] [460/523] learning_rate: 0.005630 loss_vfl: 0.972603 loss_bbox: 0.435636 loss_dfl: 0.420484 loss: 1.817696 eta: 3:39:54 batch_cost: 1.0429 data_cost: 0.2603 ips: 53.6974 images/s [03/19 06:53:50] ppdet.engine INFO: Epoch: [272] [480/523] learning_rate: 0.005614 loss_vfl: 0.969603 loss_bbox: 0.435735 loss_dfl: 0.418769 loss: 1.807289 eta: 3:39:35 batch_cost: 0.8582 data_cost: 0.1949 ips: 65.2536 images/s [03/19 06:54:15] ppdet.engine INFO: Epoch: [272] [500/523] learning_rate: 0.005598 loss_vfl: 0.999202 loss_bbox: 0.461915 loss_dfl: 0.432614 loss: 1.894679 eta: 3:39:17 batch_cost: 1.1337 data_cost: 0.3745 ips: 49.3946 images/s [03/19 06:54:33] ppdet.engine INFO: Epoch: [272] [520/523] learning_rate: 0.005582 loss_vfl: 0.921640 loss_bbox: 0.403657 loss_dfl: 0.387395 loss: 1.716914 eta: 3:38:58 batch_cost: 0.7245 data_cost: 0.0868 ips: 77.2909 images/s [03/19 06:54:46] ppdet.engine INFO: Epoch: [273] [ 0/523] learning_rate: 0.005580 loss_vfl: 0.916009 loss_bbox: 0.401641 loss_dfl: 0.387915 loss: 1.716914 eta: 3:38:56 batch_cost: 1.2171 data_cost: 0.6006 ips: 46.0103 images/s [03/19 06:55:08] ppdet.engine INFO: Epoch: [273] [ 20/523] learning_rate: 0.005564 loss_vfl: 0.910286 loss_bbox: 0.407334 loss_dfl: 0.393336 loss: 1.729347 eta: 3:38:37 batch_cost: 0.9358 data_cost: 0.0496 ips: 59.8406 images/s [03/19 06:55:33] ppdet.engine INFO: Epoch: [273] [ 40/523] learning_rate: 0.005549 loss_vfl: 0.989851 loss_bbox: 0.449030 loss_dfl: 0.429462 loss: 1.886032 eta: 3:38:19 batch_cost: 1.0549 data_cost: 0.3152 ips: 53.0855 images/s [03/19 06:55:54] ppdet.engine INFO: Epoch: [273] [ 60/523] learning_rate: 0.005533 loss_vfl: 0.986546 loss_bbox: 0.463148 loss_dfl: 0.429805 loss: 1.898360 eta: 3:38:00 batch_cost: 0.8665 data_cost: 0.2117 ips: 64.6251 images/s [03/19 06:56:17] ppdet.engine INFO: Epoch: [273] [ 80/523] learning_rate: 0.005517 loss_vfl: 0.957363 loss_bbox: 0.418793 loss_dfl: 0.398571 loss: 1.794346 eta: 3:37:42 batch_cost: 1.0000 data_cost: 0.0038 ips: 55.9989 images/s [03/19 06:56:36] ppdet.engine INFO: Epoch: [273] [100/523] learning_rate: 0.005502 loss_vfl: 0.994152 loss_bbox: 0.431781 loss_dfl: 0.425293 loss: 1.860797 eta: 3:37:23 batch_cost: 0.7792 data_cost: 0.0025 ips: 71.8710 images/s [03/19 06:56:53] ppdet.engine INFO: Epoch: [273] [120/523] learning_rate: 0.005486 loss_vfl: 0.948247 loss_bbox: 0.389836 loss_dfl: 0.391021 loss: 1.726530 eta: 3:37:04 batch_cost: 0.7310 data_cost: 0.0033 ips: 76.6064 images/s [03/19 06:57:15] ppdet.engine INFO: Epoch: [273] [140/523] learning_rate: 0.005471 loss_vfl: 0.977891 loss_bbox: 0.428894 loss_dfl: 0.420506 loss: 1.835775 eta: 3:36:45 batch_cost: 0.9243 data_cost: 0.0038 ips: 60.5849 images/s [03/19 06:57:37] ppdet.engine INFO: Epoch: [273] [160/523] learning_rate: 0.005455 loss_vfl: 0.972912 loss_bbox: 0.454324 loss_dfl: 0.434387 loss: 1.855982 eta: 3:36:26 batch_cost: 0.8801 data_cost: 0.0412 ips: 63.6291 images/s [03/19 06:58:00] ppdet.engine INFO: Epoch: [273] [180/523] learning_rate: 0.005440 loss_vfl: 0.968540 loss_bbox: 0.436268 loss_dfl: 0.419567 loss: 1.820529 eta: 3:36:08 batch_cost: 1.0440 data_cost: 0.2596 ips: 53.6402 images/s [03/19 06:58:22] ppdet.engine INFO: Epoch: [273] [200/523] learning_rate: 0.005424 loss_vfl: 1.028300 loss_bbox: 0.441031 loss_dfl: 0.425917 loss: 1.893975 eta: 3:35:49 batch_cost: 0.9685 data_cost: 0.2033 ips: 57.8215 images/s [03/19 06:58:45] ppdet.engine INFO: Epoch: [273] [220/523] learning_rate: 0.005409 loss_vfl: 0.994718 loss_bbox: 0.433772 loss_dfl: 0.418458 loss: 1.849842 eta: 3:35:31 batch_cost: 0.9566 data_cost: 0.0905 ips: 58.5408 images/s [03/19 06:59:06] ppdet.engine INFO: Epoch: [273] [240/523] learning_rate: 0.005393 loss_vfl: 1.002442 loss_bbox: 0.435245 loss_dfl: 0.414895 loss: 1.844685 eta: 3:35:12 batch_cost: 0.8698 data_cost: 0.0022 ips: 64.3832 images/s [03/19 06:59:28] ppdet.engine INFO: Epoch: [273] [260/523] learning_rate: 0.005378 loss_vfl: 0.941265 loss_bbox: 0.417611 loss_dfl: 0.400341 loss: 1.756375 eta: 3:34:54 batch_cost: 0.9531 data_cost: 0.1958 ips: 58.7567 images/s [03/19 06:59:51] ppdet.engine INFO: Epoch: [273] [280/523] learning_rate: 0.005362 loss_vfl: 0.933819 loss_bbox: 0.411599 loss_dfl: 0.385494 loss: 1.716647 eta: 3:34:35 batch_cost: 0.9575 data_cost: 0.0498 ips: 58.4878 images/s [03/19 07:00:13] ppdet.engine INFO: Epoch: [273] [300/523] learning_rate: 0.005347 loss_vfl: 0.947101 loss_bbox: 0.459243 loss_dfl: 0.434453 loss: 1.847139 eta: 3:34:17 batch_cost: 0.9866 data_cost: 0.1580 ips: 56.7612 images/s [03/19 07:00:35] ppdet.engine INFO: Epoch: [273] [320/523] learning_rate: 0.005332 loss_vfl: 0.988598 loss_bbox: 0.422333 loss_dfl: 0.411083 loss: 1.825611 eta: 3:33:58 batch_cost: 0.9821 data_cost: 0.2559 ips: 57.0225 images/s [03/19 07:00:58] ppdet.engine INFO: Epoch: [273] [340/523] learning_rate: 0.005316 loss_vfl: 1.020035 loss_bbox: 0.457132 loss_dfl: 0.432895 loss: 1.909335 eta: 3:33:40 batch_cost: 0.9668 data_cost: 0.0443 ips: 57.9257 images/s [03/19 07:01:15] ppdet.engine INFO: Epoch: [273] [360/523] learning_rate: 0.005301 loss_vfl: 0.982684 loss_bbox: 0.444209 loss_dfl: 0.421811 loss: 1.860721 eta: 3:33:20 batch_cost: 0.6578 data_cost: 0.0307 ips: 85.1297 images/s [03/19 07:01:35] ppdet.engine INFO: Epoch: [273] [380/523] learning_rate: 0.005286 loss_vfl: 0.975456 loss_bbox: 0.455127 loss_dfl: 0.430507 loss: 1.844581 eta: 3:33:02 batch_cost: 0.8250 data_cost: 0.1788 ips: 67.8821 images/s [03/19 07:01:54] ppdet.engine INFO: Epoch: [273] [400/523] learning_rate: 0.005270 loss_vfl: 0.996421 loss_bbox: 0.451997 loss_dfl: 0.431187 loss: 1.883963 eta: 3:32:43 batch_cost: 0.8204 data_cost: 0.0447 ips: 68.2633 images/s [03/19 07:02:18] ppdet.engine INFO: Epoch: [273] [420/523] learning_rate: 0.005255 loss_vfl: 0.939815 loss_bbox: 0.396642 loss_dfl: 0.379742 loss: 1.685678 eta: 3:32:24 batch_cost: 1.0609 data_cost: 0.3000 ips: 52.7850 images/s [03/19 07:02:40] ppdet.engine INFO: Epoch: [273] [440/523] learning_rate: 0.005240 loss_vfl: 0.963639 loss_bbox: 0.440164 loss_dfl: 0.417268 loss: 1.843586 eta: 3:32:06 batch_cost: 0.9233 data_cost: 0.2363 ips: 60.6541 images/s [03/19 07:03:01] ppdet.engine INFO: Epoch: [273] [460/523] learning_rate: 0.005225 loss_vfl: 0.970448 loss_bbox: 0.438389 loss_dfl: 0.408130 loss: 1.822240 eta: 3:31:47 batch_cost: 0.8738 data_cost: 0.1078 ips: 64.0900 images/s [03/19 07:03:23] ppdet.engine INFO: Epoch: [273] [480/523] learning_rate: 0.005209 loss_vfl: 1.005804 loss_bbox: 0.450523 loss_dfl: 0.429275 loss: 1.907871 eta: 3:31:29 batch_cost: 1.0347 data_cost: 0.1670 ips: 54.1219 images/s [03/19 07:03:46] ppdet.engine INFO: Epoch: [273] [500/523] learning_rate: 0.005194 loss_vfl: 1.005296 loss_bbox: 0.443329 loss_dfl: 0.413779 loss: 1.873821 eta: 3:31:10 batch_cost: 1.0149 data_cost: 0.2264 ips: 55.1754 images/s [03/19 07:04:03] ppdet.engine INFO: Epoch: [273] [520/523] learning_rate: 0.005179 loss_vfl: 0.965042 loss_bbox: 0.430165 loss_dfl: 0.416593 loss: 1.828072 eta: 3:30:51 batch_cost: 0.6937 data_cost: 0.0200 ips: 80.7208 images/s [03/19 07:04:15] ppdet.engine INFO: Epoch: [274] [ 0/523] learning_rate: 0.005177 loss_vfl: 0.972146 loss_bbox: 0.436770 loss_dfl: 0.427551 loss: 1.845819 eta: 3:30:49 batch_cost: 1.0933 data_cost: 0.4453 ips: 51.2218 images/s [03/19 07:04:39] ppdet.engine INFO: Epoch: [274] [ 20/523] learning_rate: 0.005162 loss_vfl: 0.998090 loss_bbox: 0.438614 loss_dfl: 0.422683 loss: 1.862369 eta: 3:30:31 batch_cost: 0.9539 data_cost: 0.0344 ips: 58.7075 images/s [03/19 07:05:00] ppdet.engine INFO: Epoch: [274] [ 40/523] learning_rate: 0.005147 loss_vfl: 0.996050 loss_bbox: 0.453323 loss_dfl: 0.415982 loss: 1.807622 eta: 3:30:12 batch_cost: 0.9607 data_cost: 0.0596 ips: 58.2891 images/s [03/19 07:05:22] ppdet.engine INFO: Epoch: [274] [ 60/523] learning_rate: 0.005132 loss_vfl: 0.959466 loss_bbox: 0.434389 loss_dfl: 0.405815 loss: 1.798749 eta: 3:29:53 batch_cost: 0.9148 data_cost: 0.1342 ips: 61.2161 images/s [03/19 07:05:44] ppdet.engine INFO: Epoch: [274] [ 80/523] learning_rate: 0.005117 loss_vfl: 0.929422 loss_bbox: 0.419849 loss_dfl: 0.398323 loss: 1.739235 eta: 3:29:35 batch_cost: 0.9594 data_cost: 0.0460 ips: 58.3691 images/s [03/19 07:06:02] ppdet.engine INFO: Epoch: [274] [100/523] learning_rate: 0.005101 loss_vfl: 0.955376 loss_bbox: 0.407299 loss_dfl: 0.397747 loss: 1.782387 eta: 3:29:16 batch_cost: 0.7846 data_cost: 0.0022 ips: 71.3719 images/s [03/19 07:06:22] ppdet.engine INFO: Epoch: [274] [120/523] learning_rate: 0.005086 loss_vfl: 0.979426 loss_bbox: 0.437752 loss_dfl: 0.427466 loss: 1.852307 eta: 3:28:57 batch_cost: 0.8927 data_cost: 0.0047 ips: 62.7282 images/s [03/19 07:06:44] ppdet.engine INFO: Epoch: [274] [140/523] learning_rate: 0.005071 loss_vfl: 0.995446 loss_bbox: 0.447301 loss_dfl: 0.415388 loss: 1.856457 eta: 3:28:39 batch_cost: 0.9537 data_cost: 0.2458 ips: 58.7200 images/s [03/19 07:07:05] ppdet.engine INFO: Epoch: [274] [160/523] learning_rate: 0.005057 loss_vfl: 0.958929 loss_bbox: 0.430190 loss_dfl: 0.415724 loss: 1.807673 eta: 3:28:20 batch_cost: 0.9291 data_cost: 0.0913 ips: 60.2738 images/s [03/19 07:07:28] ppdet.engine INFO: Epoch: [274] [180/523] learning_rate: 0.005042 loss_vfl: 1.032710 loss_bbox: 0.445732 loss_dfl: 0.430759 loss: 1.907013 eta: 3:28:02 batch_cost: 0.9857 data_cost: 0.1044 ips: 56.8137 images/s [03/19 07:07:51] ppdet.engine INFO: Epoch: [274] [200/523] learning_rate: 0.005027 loss_vfl: 1.003405 loss_bbox: 0.443509 loss_dfl: 0.418165 loss: 1.844149 eta: 3:27:43 batch_cost: 1.0191 data_cost: 0.1071 ips: 54.9481 images/s [03/19 07:08:13] ppdet.engine INFO: Epoch: [274] [220/523] learning_rate: 0.005012 loss_vfl: 0.959727 loss_bbox: 0.423289 loss_dfl: 0.406110 loss: 1.787269 eta: 3:27:25 batch_cost: 0.9927 data_cost: 0.0023 ips: 56.4133 images/s [03/19 07:08:34] ppdet.engine INFO: Epoch: [274] [240/523] learning_rate: 0.004997 loss_vfl: 1.005173 loss_bbox: 0.445621 loss_dfl: 0.419366 loss: 1.888777 eta: 3:27:06 batch_cost: 0.8363 data_cost: 0.0027 ips: 66.9590 images/s [03/19 07:08:58] ppdet.engine INFO: Epoch: [274] [260/523] learning_rate: 0.004982 loss_vfl: 0.995520 loss_bbox: 0.442330 loss_dfl: 0.417491 loss: 1.838921 eta: 3:26:47 batch_cost: 1.0132 data_cost: 0.0712 ips: 55.2732 images/s [03/19 07:09:19] ppdet.engine INFO: Epoch: [274] [280/523] learning_rate: 0.004967 loss_vfl: 0.937260 loss_bbox: 0.407214 loss_dfl: 0.384406 loss: 1.744052 eta: 3:26:29 batch_cost: 0.8237 data_cost: 0.0278 ips: 67.9884 images/s [03/19 07:09:41] ppdet.engine INFO: Epoch: [274] [300/523] learning_rate: 0.004952 loss_vfl: 0.924912 loss_bbox: 0.408176 loss_dfl: 0.395550 loss: 1.734322 eta: 3:26:10 batch_cost: 0.9572 data_cost: 0.0053 ips: 58.5012 images/s [03/19 07:10:02] ppdet.engine INFO: Epoch: [274] [320/523] learning_rate: 0.004938 loss_vfl: 0.983724 loss_bbox: 0.441213 loss_dfl: 0.424475 loss: 1.838361 eta: 3:25:52 batch_cost: 0.9181 data_cost: 0.0040 ips: 60.9979 images/s [03/19 07:10:22] ppdet.engine INFO: Epoch: [274] [340/523] learning_rate: 0.004923 loss_vfl: 0.945589 loss_bbox: 0.443836 loss_dfl: 0.409650 loss: 1.788766 eta: 3:25:33 batch_cost: 0.8428 data_cost: 0.0024 ips: 66.4487 images/s [03/19 07:10:40] ppdet.engine INFO: Epoch: [274] [360/523] learning_rate: 0.004908 loss_vfl: 0.990473 loss_bbox: 0.441836 loss_dfl: 0.416914 loss: 1.883038 eta: 3:25:14 batch_cost: 0.7799 data_cost: 0.0624 ips: 71.8068 images/s [03/19 07:10:59] ppdet.engine INFO: Epoch: [274] [380/523] learning_rate: 0.004893 loss_vfl: 0.991055 loss_bbox: 0.442978 loss_dfl: 0.430890 loss: 1.877671 eta: 3:24:55 batch_cost: 0.8212 data_cost: 0.1579 ips: 68.1961 images/s [03/19 07:11:22] ppdet.engine INFO: Epoch: [274] [400/523] learning_rate: 0.004879 loss_vfl: 1.024076 loss_bbox: 0.469492 loss_dfl: 0.443874 loss: 1.946854 eta: 3:24:37 batch_cost: 0.9837 data_cost: 0.1956 ips: 56.9290 images/s [03/19 07:11:44] ppdet.engine INFO: Epoch: [274] [420/523] learning_rate: 0.004864 loss_vfl: 0.993896 loss_bbox: 0.451938 loss_dfl: 0.431777 loss: 1.879619 eta: 3:24:18 batch_cost: 0.9054 data_cost: 0.0764 ips: 61.8530 images/s [03/19 07:12:07] ppdet.engine INFO: Epoch: [274] [440/523] learning_rate: 0.004849 loss_vfl: 0.973220 loss_bbox: 0.450929 loss_dfl: 0.425080 loss: 1.843424 eta: 3:23:59 batch_cost: 0.9756 data_cost: 0.1961 ips: 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learning_rate: 0.004789 loss_vfl: 0.949536 loss_bbox: 0.420028 loss_dfl: 0.397864 loss: 1.764993 eta: 3:22:43 batch_cost: 1.1145 data_cost: 0.4067 ips: 50.2488 images/s [03/19 07:14:04] ppdet.engine INFO: Epoch: [275] [ 20/523] learning_rate: 0.004774 loss_vfl: 1.024238 loss_bbox: 0.474506 loss_dfl: 0.445905 loss: 1.924117 eta: 3:22:24 batch_cost: 0.9150 data_cost: 0.0006 ips: 61.2033 images/s [03/19 07:14:24] ppdet.engine INFO: Epoch: [275] [ 40/523] learning_rate: 0.004759 loss_vfl: 0.936303 loss_bbox: 0.423298 loss_dfl: 0.400578 loss: 1.747037 eta: 3:22:05 batch_cost: 0.9016 data_cost: 0.1372 ips: 62.1118 images/s [03/19 07:14:47] ppdet.engine INFO: Epoch: [275] [ 60/523] learning_rate: 0.004745 loss_vfl: 0.978618 loss_bbox: 0.425435 loss_dfl: 0.417904 loss: 1.812056 eta: 3:21:47 batch_cost: 0.9998 data_cost: 0.1964 ips: 56.0119 images/s [03/19 07:15:05] ppdet.engine INFO: Epoch: [275] [ 80/523] learning_rate: 0.004730 loss_vfl: 0.951022 loss_bbox: 0.419869 loss_dfl: 0.405848 loss: 1.767543 eta: 3:21:28 batch_cost: 0.7866 data_cost: 0.0287 ips: 71.1925 images/s [03/19 07:15:25] ppdet.engine INFO: Epoch: [275] [100/523] learning_rate: 0.004716 loss_vfl: 0.980347 loss_bbox: 0.434609 loss_dfl: 0.421217 loss: 1.863203 eta: 3:21:09 batch_cost: 0.8328 data_cost: 0.1120 ips: 67.2464 images/s [03/19 07:15:45] ppdet.engine INFO: Epoch: [275] [120/523] learning_rate: 0.004702 loss_vfl: 1.015115 loss_bbox: 0.449223 loss_dfl: 0.436437 loss: 1.915880 eta: 3:20:51 batch_cost: 0.8866 data_cost: 0.0151 ips: 63.1623 images/s [03/19 07:16:06] ppdet.engine INFO: Epoch: [275] [140/523] learning_rate: 0.004687 loss_vfl: 0.990671 loss_bbox: 0.440846 loss_dfl: 0.412579 loss: 1.820615 eta: 3:20:32 batch_cost: 0.8737 data_cost: 0.0295 ips: 64.0917 images/s [03/19 07:16:27] ppdet.engine INFO: Epoch: [275] [160/523] learning_rate: 0.004673 loss_vfl: 1.037385 loss_bbox: 0.450432 loss_dfl: 0.435729 loss: 1.921750 eta: 3:20:13 batch_cost: 0.9408 data_cost: 0.2420 ips: 59.5267 images/s [03/19 07:16:50] ppdet.engine INFO: Epoch: [275] [180/523] learning_rate: 0.004658 loss_vfl: 1.016531 loss_bbox: 0.441052 loss_dfl: 0.436785 loss: 1.901283 eta: 3:19:55 batch_cost: 0.8919 data_cost: 0.2103 ips: 62.7889 images/s [03/19 07:17:11] ppdet.engine INFO: Epoch: [275] [200/523] learning_rate: 0.004644 loss_vfl: 0.974657 loss_bbox: 0.445165 loss_dfl: 0.416585 loss: 1.842229 eta: 3:19:36 batch_cost: 0.9278 data_cost: 0.1903 ips: 60.3580 images/s [03/19 07:17:32] ppdet.engine INFO: Epoch: [275] [220/523] learning_rate: 0.004630 loss_vfl: 1.000014 loss_bbox: 0.478457 loss_dfl: 0.432452 loss: 1.932965 eta: 3:19:17 batch_cost: 0.9009 data_cost: 0.1157 ips: 62.1626 images/s [03/19 07:17:54] ppdet.engine INFO: Epoch: [275] [240/523] learning_rate: 0.004615 loss_vfl: 1.023897 loss_bbox: 0.437094 loss_dfl: 0.420402 loss: 1.874968 eta: 3:18:59 batch_cost: 0.8706 data_cost: 0.2212 ips: 64.3214 images/s [03/19 07:18:15] ppdet.engine INFO: Epoch: [275] [260/523] learning_rate: 0.004601 loss_vfl: 0.964371 loss_bbox: 0.425636 loss_dfl: 0.405642 loss: 1.803499 eta: 3:18:40 batch_cost: 0.9004 data_cost: 0.0895 ips: 62.1944 images/s [03/19 07:18:37] ppdet.engine INFO: Epoch: [275] [280/523] learning_rate: 0.004587 loss_vfl: 0.924767 loss_bbox: 0.403123 loss_dfl: 0.401880 loss: 1.727563 eta: 3:18:21 batch_cost: 0.9457 data_cost: 0.1374 ips: 59.2165 images/s [03/19 07:18:58] ppdet.engine INFO: Epoch: [275] [300/523] learning_rate: 0.004573 loss_vfl: 0.954598 loss_bbox: 0.418311 loss_dfl: 0.410469 loss: 1.799126 eta: 3:18:03 batch_cost: 0.9415 data_cost: 0.1240 ips: 59.4803 images/s [03/19 07:19:19] ppdet.engine INFO: Epoch: [275] [320/523] learning_rate: 0.004558 loss_vfl: 0.994432 loss_bbox: 0.451128 loss_dfl: 0.421634 loss: 1.874770 eta: 3:17:44 batch_cost: 0.9063 data_cost: 0.0004 ips: 61.7931 images/s [03/19 07:19:40] ppdet.engine INFO: Epoch: [275] [340/523] learning_rate: 0.004544 loss_vfl: 0.971065 loss_bbox: 0.435939 loss_dfl: 0.427132 loss: 1.847404 eta: 3:17:26 batch_cost: 0.9556 data_cost: 0.0116 ips: 58.5994 images/s [03/19 07:19:58] ppdet.engine INFO: Epoch: [275] [360/523] learning_rate: 0.004530 loss_vfl: 0.983337 loss_bbox: 0.456217 loss_dfl: 0.425521 loss: 1.839259 eta: 3:17:07 batch_cost: 0.8032 data_cost: 0.0025 ips: 69.7212 images/s [03/19 07:20:18] ppdet.engine INFO: Epoch: [275] [380/523] learning_rate: 0.004516 loss_vfl: 0.944951 loss_bbox: 0.412187 loss_dfl: 0.400679 loss: 1.751773 eta: 3:16:48 batch_cost: 0.9027 data_cost: 0.0872 ips: 62.0375 images/s [03/19 07:20:38] ppdet.engine INFO: Epoch: [275] [400/523] learning_rate: 0.004502 loss_vfl: 1.001939 loss_bbox: 0.455251 loss_dfl: 0.430704 loss: 1.897837 eta: 3:16:29 batch_cost: 0.7973 data_cost: 0.0965 ips: 70.2354 images/s [03/19 07:21:00] ppdet.engine INFO: Epoch: [275] [420/523] learning_rate: 0.004488 loss_vfl: 0.964349 loss_bbox: 0.419682 loss_dfl: 0.411284 loss: 1.799881 eta: 3:16:11 batch_cost: 1.0031 data_cost: 0.1144 ips: 55.8278 images/s [03/19 07:21:22] ppdet.engine INFO: Epoch: [275] [440/523] learning_rate: 0.004473 loss_vfl: 1.013718 loss_bbox: 0.451013 loss_dfl: 0.436487 loss: 1.904628 eta: 3:15:52 batch_cost: 0.9034 data_cost: 0.0023 ips: 61.9861 images/s [03/19 07:21:41] ppdet.engine INFO: Epoch: [275] [460/523] learning_rate: 0.004459 loss_vfl: 0.980341 loss_bbox: 0.436610 loss_dfl: 0.427355 loss: 1.848008 eta: 3:15:33 batch_cost: 0.8321 data_cost: 0.0022 ips: 67.2978 images/s [03/19 07:22:03] ppdet.engine INFO: Epoch: [275] [480/523] learning_rate: 0.004445 loss_vfl: 0.992792 loss_bbox: 0.432673 loss_dfl: 0.424134 loss: 1.851207 eta: 3:15:15 batch_cost: 0.9928 data_cost: 0.0690 ips: 56.4055 images/s [03/19 07:22:24] ppdet.engine INFO: Epoch: [275] [500/523] learning_rate: 0.004431 loss_vfl: 0.971126 loss_bbox: 0.430349 loss_dfl: 0.419100 loss: 1.792046 eta: 3:14:56 batch_cost: 0.9238 data_cost: 0.0216 ips: 60.6180 images/s [03/19 07:22:43] ppdet.engine INFO: Epoch: [275] [520/523] learning_rate: 0.004417 loss_vfl: 1.009967 loss_bbox: 0.448457 loss_dfl: 0.423607 loss: 1.895266 eta: 3:14:38 batch_cost: 0.8708 data_cost: 0.0025 ips: 64.3109 images/s [03/19 07:22:57] ppdet.engine INFO: Epoch: [276] [ 0/523] learning_rate: 0.004415 loss_vfl: 1.009967 loss_bbox: 0.448457 loss_dfl: 0.423607 loss: 1.895266 eta: 3:14:36 batch_cost: 1.2444 data_cost: 0.4311 ips: 45.0000 images/s [03/19 07:23:20] ppdet.engine INFO: Epoch: [276] [ 20/523] learning_rate: 0.004401 loss_vfl: 0.983274 loss_bbox: 0.416401 loss_dfl: 0.421896 loss: 1.838263 eta: 3:14:17 batch_cost: 0.9807 data_cost: 0.1611 ips: 57.1016 images/s [03/19 07:23:42] ppdet.engine INFO: Epoch: [276] [ 40/523] learning_rate: 0.004387 loss_vfl: 0.918403 loss_bbox: 0.402901 loss_dfl: 0.388229 loss: 1.723497 eta: 3:13:59 batch_cost: 0.9030 data_cost: 0.1433 ips: 62.0132 images/s [03/19 07:24:06] ppdet.engine INFO: Epoch: [276] [ 60/523] learning_rate: 0.004373 loss_vfl: 0.931066 loss_bbox: 0.430083 loss_dfl: 0.404189 loss: 1.763985 eta: 3:13:40 batch_cost: 1.0628 data_cost: 0.1677 ips: 52.6909 images/s [03/19 07:24:26] ppdet.engine INFO: Epoch: [276] [ 80/523] learning_rate: 0.004359 loss_vfl: 0.975246 loss_bbox: 0.424745 loss_dfl: 0.414503 loss: 1.841629 eta: 3:13:21 batch_cost: 0.8674 data_cost: 0.1236 ips: 64.5570 images/s [03/19 07:24:44] ppdet.engine INFO: Epoch: [276] [100/523] learning_rate: 0.004345 loss_vfl: 1.008115 loss_bbox: 0.462500 loss_dfl: 0.442160 loss: 1.890503 eta: 3:13:03 batch_cost: 0.7625 data_cost: 0.0031 ips: 73.4440 images/s [03/19 07:25:07] ppdet.engine INFO: Epoch: [276] [120/523] learning_rate: 0.004332 loss_vfl: 0.927486 loss_bbox: 0.413826 loss_dfl: 0.399998 loss: 1.729451 eta: 3:12:44 batch_cost: 1.0070 data_cost: 0.2053 ips: 55.6107 images/s [03/19 07:25:28] ppdet.engine INFO: Epoch: [276] [140/523] learning_rate: 0.004318 loss_vfl: 1.013592 loss_bbox: 0.427092 loss_dfl: 0.428120 loss: 1.863086 eta: 3:12:25 batch_cost: 0.9377 data_cost: 0.1974 ips: 59.7214 images/s [03/19 07:25:52] ppdet.engine INFO: Epoch: [276] [160/523] learning_rate: 0.004304 loss_vfl: 0.956064 loss_bbox: 0.414580 loss_dfl: 0.406596 loss: 1.784923 eta: 3:12:07 batch_cost: 1.0322 data_cost: 0.2666 ips: 54.2540 images/s [03/19 07:26:11] ppdet.engine INFO: Epoch: [276] [180/523] learning_rate: 0.004290 loss_vfl: 0.991929 loss_bbox: 0.451932 loss_dfl: 0.427903 loss: 1.870901 eta: 3:11:48 batch_cost: 0.8465 data_cost: 0.0933 ips: 66.1574 images/s [03/19 07:26:34] ppdet.engine INFO: Epoch: [276] [200/523] learning_rate: 0.004276 loss_vfl: 0.943297 loss_bbox: 0.440605 loss_dfl: 0.406720 loss: 1.796087 eta: 3:11:30 batch_cost: 1.0250 data_cost: 0.0990 ips: 54.6354 images/s [03/19 07:26:59] ppdet.engine INFO: Epoch: [276] [220/523] learning_rate: 0.004263 loss_vfl: 1.016326 loss_bbox: 0.446092 loss_dfl: 0.435135 loss: 1.904786 eta: 3:11:11 batch_cost: 1.0721 data_cost: 0.2308 ips: 52.2327 images/s [03/19 07:27:21] ppdet.engine INFO: Epoch: [276] [240/523] learning_rate: 0.004249 loss_vfl: 0.963245 loss_bbox: 0.444150 loss_dfl: 0.416428 loss: 1.844588 eta: 3:10:53 batch_cost: 1.0234 data_cost: 0.0755 ips: 54.7206 images/s [03/19 07:27:45] ppdet.engine INFO: Epoch: [276] [260/523] learning_rate: 0.004235 loss_vfl: 0.942733 loss_bbox: 0.438196 loss_dfl: 0.415012 loss: 1.772942 eta: 3:10:35 batch_cost: 1.0065 data_cost: 0.1011 ips: 55.6375 images/s [03/19 07:28:07] ppdet.engine INFO: Epoch: [276] [280/523] learning_rate: 0.004221 loss_vfl: 1.028330 loss_bbox: 0.479017 loss_dfl: 0.442715 loss: 1.944133 eta: 3:10:16 batch_cost: 0.9013 data_cost: 0.0046 ips: 62.1318 images/s [03/19 07:28:28] ppdet.engine INFO: Epoch: [276] [300/523] learning_rate: 0.004208 loss_vfl: 1.016644 loss_bbox: 0.452956 loss_dfl: 0.431108 loss: 1.915368 eta: 3:09:57 batch_cost: 0.8587 data_cost: 0.0068 ips: 65.2146 images/s [03/19 07:28:51] ppdet.engine INFO: Epoch: [276] [320/523] learning_rate: 0.004194 loss_vfl: 0.960762 loss_bbox: 0.430267 loss_dfl: 0.409698 loss: 1.810054 eta: 3:09:39 batch_cost: 0.9672 data_cost: 0.1442 ips: 57.8974 images/s [03/19 07:29:09] ppdet.engine INFO: Epoch: [276] [340/523] learning_rate: 0.004180 loss_vfl: 0.966437 loss_bbox: 0.422620 loss_dfl: 0.405828 loss: 1.833319 eta: 3:09:20 batch_cost: 0.7497 data_cost: 0.0372 ips: 74.6988 images/s [03/19 07:29:28] ppdet.engine INFO: Epoch: [276] [360/523] learning_rate: 0.004167 loss_vfl: 0.992888 loss_bbox: 0.426383 loss_dfl: 0.410756 loss: 1.853781 eta: 3:09:01 batch_cost: 0.7916 data_cost: 0.0035 ips: 70.7437 images/s [03/19 07:29:52] ppdet.engine INFO: Epoch: [276] [380/523] learning_rate: 0.004153 loss_vfl: 0.931420 loss_bbox: 0.414937 loss_dfl: 0.393320 loss: 1.726099 eta: 3:08:42 batch_cost: 1.0579 data_cost: 0.2323 ips: 52.9328 images/s [03/19 07:30:14] ppdet.engine INFO: Epoch: [276] [400/523] learning_rate: 0.004140 loss_vfl: 1.024725 loss_bbox: 0.477986 loss_dfl: 0.457504 loss: 1.980557 eta: 3:08:24 batch_cost: 1.0063 data_cost: 0.2480 ips: 55.6511 images/s [03/19 07:30:38] ppdet.engine INFO: Epoch: [276] [420/523] learning_rate: 0.004126 loss_vfl: 0.979538 loss_bbox: 0.436807 loss_dfl: 0.410207 loss: 1.822947 eta: 3:08:05 batch_cost: 0.9722 data_cost: 0.1600 ips: 57.5999 images/s [03/19 07:30:59] ppdet.engine INFO: Epoch: [276] [440/523] learning_rate: 0.004113 loss_vfl: 0.939494 loss_bbox: 0.421076 loss_dfl: 0.397521 loss: 1.761389 eta: 3:07:47 batch_cost: 0.8843 data_cost: 0.0151 ips: 63.3299 images/s [03/19 07:31:22] ppdet.engine INFO: Epoch: [276] [460/523] learning_rate: 0.004099 loss_vfl: 0.993775 loss_bbox: 0.432105 loss_dfl: 0.408524 loss: 1.844842 eta: 3:07:28 batch_cost: 1.0078 data_cost: 0.0881 ips: 55.5669 images/s [03/19 07:31:45] ppdet.engine INFO: Epoch: [276] [480/523] learning_rate: 0.004086 loss_vfl: 0.991608 loss_bbox: 0.411339 loss_dfl: 0.420621 loss: 1.810949 eta: 3:07:10 batch_cost: 0.9932 data_cost: 0.0101 ips: 56.3842 images/s [03/19 07:32:06] ppdet.engine INFO: Epoch: [276] [500/523] learning_rate: 0.004072 loss_vfl: 0.989823 loss_bbox: 0.427744 loss_dfl: 0.416404 loss: 1.853669 eta: 3:06:51 batch_cost: 0.9013 data_cost: 0.0848 ips: 62.1325 images/s [03/19 07:32:26] ppdet.engine INFO: Epoch: [276] [520/523] learning_rate: 0.004059 loss_vfl: 0.974453 loss_bbox: 0.427121 loss_dfl: 0.407671 loss: 1.827527 eta: 3:06:32 batch_cost: 0.8004 data_cost: 0.0039 ips: 69.9642 images/s [03/19 07:32:38] ppdet.engine INFO: Epoch: [277] [ 0/523] learning_rate: 0.004057 loss_vfl: 0.983443 loss_bbox: 0.427121 loss_dfl: 0.409045 loss: 1.855867 eta: 3:06:30 batch_cost: 1.0917 data_cost: 0.3977 ips: 51.2979 images/s [03/19 07:33:03] ppdet.engine INFO: Epoch: [277] [ 20/523] learning_rate: 0.004043 loss_vfl: 0.966605 loss_bbox: 0.424097 loss_dfl: 0.407868 loss: 1.775768 eta: 3:06:12 batch_cost: 1.0102 data_cost: 0.0020 ips: 55.4329 images/s [03/19 07:33:25] ppdet.engine INFO: Epoch: [277] [ 40/523] learning_rate: 0.004030 loss_vfl: 0.959597 loss_bbox: 0.415170 loss_dfl: 0.411789 loss: 1.791947 eta: 3:05:53 batch_cost: 0.8868 data_cost: 0.0064 ips: 63.1485 images/s [03/19 07:33:44] ppdet.engine INFO: Epoch: [277] [ 60/523] learning_rate: 0.004016 loss_vfl: 0.996678 loss_bbox: 0.448734 loss_dfl: 0.426290 loss: 1.868499 eta: 3:05:34 batch_cost: 0.8186 data_cost: 0.0018 ips: 68.4094 images/s [03/19 07:34:04] ppdet.engine INFO: Epoch: [277] [ 80/523] learning_rate: 0.004003 loss_vfl: 0.967753 loss_bbox: 0.426380 loss_dfl: 0.417268 loss: 1.804759 eta: 3:05:15 batch_cost: 0.7877 data_cost: 0.0109 ips: 71.0887 images/s [03/19 07:34:29] ppdet.engine INFO: Epoch: [277] [100/523] learning_rate: 0.003990 loss_vfl: 0.985215 loss_bbox: 0.424477 loss_dfl: 0.416558 loss: 1.813910 eta: 3:04:57 batch_cost: 1.0585 data_cost: 0.2928 ips: 52.9047 images/s [03/19 07:34:50] ppdet.engine INFO: Epoch: [277] [120/523] learning_rate: 0.003976 loss_vfl: 0.957643 loss_bbox: 0.425346 loss_dfl: 0.421740 loss: 1.838744 eta: 3:04:38 batch_cost: 0.7950 data_cost: 0.0030 ips: 70.4388 images/s [03/19 07:35:14] ppdet.engine INFO: Epoch: [277] [140/523] learning_rate: 0.003963 loss_vfl: 0.994992 loss_bbox: 0.456683 loss_dfl: 0.426932 loss: 1.898980 eta: 3:04:20 batch_cost: 1.0092 data_cost: 0.0011 ips: 55.4915 images/s [03/19 07:35:35] ppdet.engine INFO: Epoch: [277] [160/523] learning_rate: 0.003950 loss_vfl: 0.979043 loss_bbox: 0.436239 loss_dfl: 0.428010 loss: 1.855700 eta: 3:04:01 batch_cost: 0.8122 data_cost: 0.0116 ips: 68.9493 images/s [03/19 07:35:58] ppdet.engine INFO: Epoch: [277] [180/523] learning_rate: 0.003937 loss_vfl: 0.994366 loss_bbox: 0.424086 loss_dfl: 0.419209 loss: 1.834117 eta: 3:03:43 batch_cost: 1.0562 data_cost: 0.0643 ips: 53.0218 images/s [03/19 07:36:22] ppdet.engine INFO: Epoch: [277] [200/523] learning_rate: 0.003923 loss_vfl: 1.048909 loss_bbox: 0.484075 loss_dfl: 0.444724 loss: 1.964637 eta: 3:03:24 batch_cost: 1.0113 data_cost: 0.0397 ips: 55.3738 images/s [03/19 07:36:44] ppdet.engine INFO: Epoch: [277] [220/523] learning_rate: 0.003910 loss_vfl: 0.976153 loss_bbox: 0.434243 loss_dfl: 0.423480 loss: 1.839687 eta: 3:03:06 batch_cost: 0.9720 data_cost: 0.0025 ips: 57.6140 images/s [03/19 07:37:09] ppdet.engine INFO: Epoch: [277] [240/523] learning_rate: 0.003897 loss_vfl: 0.955208 loss_bbox: 0.414558 loss_dfl: 0.402291 loss: 1.785297 eta: 3:02:47 batch_cost: 1.1132 data_cost: 0.0057 ips: 50.3056 images/s [03/19 07:37:30] ppdet.engine INFO: Epoch: [277] [260/523] learning_rate: 0.003884 loss_vfl: 0.976062 loss_bbox: 0.432489 loss_dfl: 0.412249 loss: 1.804993 eta: 3:02:29 batch_cost: 0.8845 data_cost: 0.0193 ips: 63.3153 images/s [03/19 07:37:52] ppdet.engine INFO: Epoch: [277] [280/523] learning_rate: 0.003871 loss_vfl: 1.009718 loss_bbox: 0.449977 loss_dfl: 0.430094 loss: 1.872594 eta: 3:02:10 batch_cost: 0.9546 data_cost: 0.0028 ips: 58.6605 images/s [03/19 07:38:11] ppdet.engine INFO: Epoch: [277] [300/523] learning_rate: 0.003858 loss_vfl: 0.958347 loss_bbox: 0.430939 loss_dfl: 0.411193 loss: 1.805476 eta: 3:01:51 batch_cost: 0.8247 data_cost: 0.0113 ips: 67.9014 images/s [03/19 07:38:29] ppdet.engine INFO: Epoch: [277] [320/523] learning_rate: 0.003845 loss_vfl: 0.957691 loss_bbox: 0.414100 loss_dfl: 0.404366 loss: 1.791535 eta: 3:01:32 batch_cost: 0.7737 data_cost: 0.0062 ips: 72.3788 images/s [03/19 07:38:51] ppdet.engine INFO: Epoch: [277] [340/523] learning_rate: 0.003832 loss_vfl: 0.988929 loss_bbox: 0.434073 loss_dfl: 0.419337 loss: 1.836036 eta: 3:01:14 batch_cost: 0.9632 data_cost: 0.0033 ips: 58.1397 images/s [03/19 07:39:14] ppdet.engine INFO: Epoch: [277] [360/523] learning_rate: 0.003819 loss_vfl: 0.968371 loss_bbox: 0.433576 loss_dfl: 0.405677 loss: 1.804776 eta: 3:00:55 batch_cost: 0.9421 data_cost: 0.0013 ips: 59.4435 images/s [03/19 07:39:35] ppdet.engine INFO: Epoch: [277] [380/523] learning_rate: 0.003806 loss_vfl: 0.981438 loss_bbox: 0.434885 loss_dfl: 0.422744 loss: 1.827574 eta: 3:00:36 batch_cost: 0.8599 data_cost: 0.1522 ips: 65.1201 images/s [03/19 07:39:59] ppdet.engine INFO: Epoch: [277] [400/523] learning_rate: 0.003793 loss_vfl: 0.999531 loss_bbox: 0.448307 loss_dfl: 0.429124 loss: 1.870717 eta: 3:00:18 batch_cost: 0.9281 data_cost: 0.0992 ips: 60.3378 images/s [03/19 07:40:23] ppdet.engine INFO: Epoch: [277] [420/523] learning_rate: 0.003780 loss_vfl: 0.961444 loss_bbox: 0.428907 loss_dfl: 0.410076 loss: 1.781488 eta: 2:59:59 batch_cost: 1.0598 data_cost: 0.1485 ips: 52.8396 images/s [03/19 07:40:45] ppdet.engine INFO: Epoch: [277] [440/523] learning_rate: 0.003767 loss_vfl: 0.945570 loss_bbox: 0.420059 loss_dfl: 0.407170 loss: 1.772283 eta: 2:59:41 batch_cost: 0.9185 data_cost: 0.0099 ips: 60.9677 images/s [03/19 07:41:06] ppdet.engine INFO: Epoch: [277] [460/523] learning_rate: 0.003754 loss_vfl: 0.981562 loss_bbox: 0.446081 loss_dfl: 0.423273 loss: 1.826003 eta: 2:59:22 batch_cost: 0.7973 data_cost: 0.0044 ips: 70.2392 images/s [03/19 07:41:31] ppdet.engine INFO: Epoch: [277] [480/523] learning_rate: 0.003741 loss_vfl: 0.999359 loss_bbox: 0.439614 loss_dfl: 0.430133 loss: 1.874766 eta: 2:59:04 batch_cost: 1.0838 data_cost: 0.1336 ips: 51.6710 images/s [03/19 07:41:53] ppdet.engine INFO: Epoch: [277] [500/523] learning_rate: 0.003728 loss_vfl: 0.980245 loss_bbox: 0.428776 loss_dfl: 0.409615 loss: 1.831460 eta: 2:58:45 batch_cost: 0.9326 data_cost: 0.0043 ips: 60.0442 images/s [03/19 07:42:11] ppdet.engine INFO: Epoch: [277] [520/523] learning_rate: 0.003715 loss_vfl: 1.019679 loss_bbox: 0.456395 loss_dfl: 0.432305 loss: 1.913797 eta: 2:58:26 batch_cost: 0.7745 data_cost: 0.2213 ips: 72.3080 images/s [03/19 07:42:24] ppdet.engine INFO: Epoch: [278] [ 0/523] learning_rate: 0.003713 loss_vfl: 0.968610 loss_bbox: 0.447258 loss_dfl: 0.408004 loss: 1.805731 eta: 2:58:24 batch_cost: 1.2317 data_cost: 0.6431 ips: 45.4660 images/s [03/19 07:42:39] ppdet.engine INFO: Epoch: [278] [ 20/523] learning_rate: 0.003700 loss_vfl: 0.963942 loss_bbox: 0.417371 loss_dfl: 0.406980 loss: 1.773808 eta: 2:58:05 batch_cost: 0.6498 data_cost: 0.0007 ips: 86.1780 images/s [03/19 07:42:58] ppdet.engine INFO: Epoch: [278] [ 40/523] learning_rate: 0.003687 loss_vfl: 0.952811 loss_bbox: 0.430157 loss_dfl: 0.411443 loss: 1.785746 eta: 2:57:46 batch_cost: 0.7977 data_cost: 0.0113 ips: 70.2021 images/s [03/19 07:43:20] ppdet.engine INFO: Epoch: [278] [ 60/523] learning_rate: 0.003675 loss_vfl: 0.972453 loss_bbox: 0.439352 loss_dfl: 0.431497 loss: 1.840923 eta: 2:57:28 batch_cost: 0.9675 data_cost: 0.0044 ips: 57.8833 images/s [03/19 07:43:41] ppdet.engine INFO: Epoch: [278] [ 80/523] learning_rate: 0.003662 loss_vfl: 0.954455 loss_bbox: 0.425008 loss_dfl: 0.395244 loss: 1.778344 eta: 2:57:09 batch_cost: 0.8944 data_cost: 0.0050 ips: 62.6123 images/s [03/19 07:44:03] ppdet.engine INFO: Epoch: [278] [100/523] learning_rate: 0.003649 loss_vfl: 1.015769 loss_bbox: 0.443254 loss_dfl: 0.429385 loss: 1.898423 eta: 2:56:51 batch_cost: 1.0175 data_cost: 0.0039 ips: 55.0383 images/s [03/19 07:44:23] ppdet.engine INFO: Epoch: [278] [120/523] learning_rate: 0.003636 loss_vfl: 0.939985 loss_bbox: 0.422280 loss_dfl: 0.398666 loss: 1.778565 eta: 2:56:32 batch_cost: 0.9006 data_cost: 0.0005 ips: 62.1830 images/s [03/19 07:44:45] ppdet.engine INFO: Epoch: [278] [140/523] learning_rate: 0.003624 loss_vfl: 0.951193 loss_bbox: 0.426911 loss_dfl: 0.415058 loss: 1.770359 eta: 2:56:13 batch_cost: 0.9620 data_cost: 0.0021 ips: 58.2097 images/s [03/19 07:45:05] ppdet.engine INFO: Epoch: [278] [160/523] learning_rate: 0.003611 loss_vfl: 0.921893 loss_bbox: 0.435764 loss_dfl: 0.397746 loss: 1.725707 eta: 2:55:55 batch_cost: 0.9079 data_cost: 0.0078 ips: 61.6805 images/s [03/19 07:45:27] ppdet.engine INFO: Epoch: [278] [180/523] learning_rate: 0.003598 loss_vfl: 0.942721 loss_bbox: 0.407408 loss_dfl: 0.396792 loss: 1.732877 eta: 2:55:36 batch_cost: 0.9519 data_cost: 0.0131 ips: 58.8323 images/s [03/19 07:45:46] ppdet.engine INFO: Epoch: [278] [200/523] learning_rate: 0.003586 loss_vfl: 0.994236 loss_bbox: 0.429280 loss_dfl: 0.427013 loss: 1.854008 eta: 2:55:17 batch_cost: 0.8378 data_cost: 0.0073 ips: 66.8453 images/s [03/19 07:46:07] ppdet.engine INFO: Epoch: [278] [220/523] learning_rate: 0.003573 loss_vfl: 0.957010 loss_bbox: 0.459736 loss_dfl: 0.422888 loss: 1.852684 eta: 2:54:59 batch_cost: 0.9213 data_cost: 0.0145 ips: 60.7808 images/s [03/19 07:46:25] ppdet.engine INFO: Epoch: [278] [240/523] learning_rate: 0.003560 loss_vfl: 1.010525 loss_bbox: 0.437507 loss_dfl: 0.430538 loss: 1.881421 eta: 2:54:40 batch_cost: 0.8171 data_cost: 0.0140 ips: 68.5342 images/s [03/19 07:46:48] ppdet.engine INFO: Epoch: [278] [260/523] learning_rate: 0.003548 loss_vfl: 0.980299 loss_bbox: 0.430463 loss_dfl: 0.415930 loss: 1.824768 eta: 2:54:21 batch_cost: 1.0050 data_cost: 0.0147 ips: 55.7225 images/s [03/19 07:47:09] ppdet.engine INFO: Epoch: [278] [280/523] learning_rate: 0.003535 loss_vfl: 0.989854 loss_bbox: 0.427312 loss_dfl: 0.419955 loss: 1.832751 eta: 2:54:03 batch_cost: 0.9657 data_cost: 0.0297 ips: 57.9894 images/s [03/19 07:47:29] ppdet.engine INFO: Epoch: [278] [300/523] learning_rate: 0.003523 loss_vfl: 0.981346 loss_bbox: 0.446736 loss_dfl: 0.420678 loss: 1.858855 eta: 2:53:44 batch_cost: 0.8776 data_cost: 0.0057 ips: 63.8077 images/s [03/19 07:47:47] ppdet.engine INFO: Epoch: [278] [320/523] learning_rate: 0.003510 loss_vfl: 0.958928 loss_bbox: 0.429460 loss_dfl: 0.406250 loss: 1.780980 eta: 2:53:25 batch_cost: 0.7124 data_cost: 0.0133 ips: 78.6129 images/s [03/19 07:48:05] ppdet.engine INFO: Epoch: [278] [340/523] learning_rate: 0.003498 loss_vfl: 0.966949 loss_bbox: 0.427340 loss_dfl: 0.413045 loss: 1.772358 eta: 2:53:06 batch_cost: 0.7959 data_cost: 0.0017 ips: 70.3638 images/s [03/19 07:48:23] ppdet.engine INFO: Epoch: [278] [360/523] learning_rate: 0.003485 loss_vfl: 0.960323 loss_bbox: 0.445292 loss_dfl: 0.425802 loss: 1.842346 eta: 2:52:48 batch_cost: 0.7921 data_cost: 0.0050 ips: 70.6995 images/s [03/19 07:48:46] ppdet.engine INFO: Epoch: [278] [380/523] learning_rate: 0.003473 loss_vfl: 1.002812 loss_bbox: 0.433878 loss_dfl: 0.429846 loss: 1.861386 eta: 2:52:29 batch_cost: 0.9966 data_cost: 0.0076 ips: 56.1883 images/s [03/19 07:49:07] ppdet.engine INFO: Epoch: [278] [400/523] learning_rate: 0.003460 loss_vfl: 0.985261 loss_bbox: 0.449748 loss_dfl: 0.421434 loss: 1.876754 eta: 2:52:11 batch_cost: 0.9203 data_cost: 0.0022 ips: 60.8477 images/s [03/19 07:49:28] ppdet.engine INFO: Epoch: [278] [420/523] learning_rate: 0.003448 loss_vfl: 0.927276 loss_bbox: 0.398281 loss_dfl: 0.393264 loss: 1.703848 eta: 2:51:52 batch_cost: 0.8979 data_cost: 0.0030 ips: 62.3697 images/s [03/19 07:49:49] ppdet.engine INFO: Epoch: [278] [440/523] learning_rate: 0.003436 loss_vfl: 0.941496 loss_bbox: 0.411698 loss_dfl: 0.400442 loss: 1.744138 eta: 2:51:33 batch_cost: 0.9083 data_cost: 0.0025 ips: 61.6505 images/s [03/19 07:50:09] ppdet.engine INFO: Epoch: [278] [460/523] learning_rate: 0.003423 loss_vfl: 1.046318 loss_bbox: 0.492186 loss_dfl: 0.454458 loss: 1.983177 eta: 2:51:14 batch_cost: 0.8259 data_cost: 0.0029 ips: 67.8023 images/s [03/19 07:50:30] ppdet.engine INFO: Epoch: [278] [480/523] learning_rate: 0.003411 loss_vfl: 0.933996 loss_bbox: 0.418545 loss_dfl: 0.404608 loss: 1.751253 eta: 2:50:56 batch_cost: 0.9480 data_cost: 0.0018 ips: 59.0700 images/s [03/19 07:50:51] ppdet.engine INFO: Epoch: [278] [500/523] learning_rate: 0.003399 loss_vfl: 0.968153 loss_bbox: 0.425569 loss_dfl: 0.410366 loss: 1.842103 eta: 2:50:37 batch_cost: 0.8898 data_cost: 0.0062 ips: 62.9366 images/s [03/19 07:51:08] ppdet.engine INFO: Epoch: [278] [520/523] learning_rate: 0.003386 loss_vfl: 0.945939 loss_bbox: 0.424830 loss_dfl: 0.403049 loss: 1.788482 eta: 2:50:18 batch_cost: 0.7709 data_cost: 0.0041 ips: 72.6448 images/s [03/19 07:51:19] ppdet.engine INFO: Epoch: [279] [ 0/523] learning_rate: 0.003385 loss_vfl: 0.917354 loss_bbox: 0.403572 loss_dfl: 0.388715 loss: 1.707457 eta: 2:50:16 batch_cost: 1.1055 data_cost: 0.2861 ips: 50.6573 images/s [03/19 07:51:41] ppdet.engine INFO: Epoch: [279] [ 20/523] learning_rate: 0.003372 loss_vfl: 1.015067 loss_bbox: 0.429511 loss_dfl: 0.420168 loss: 1.860853 eta: 2:49:58 batch_cost: 1.0061 data_cost: 0.0015 ips: 55.6603 images/s [03/19 07:52:03] ppdet.engine INFO: Epoch: [279] [ 40/523] learning_rate: 0.003360 loss_vfl: 0.955847 loss_bbox: 0.417734 loss_dfl: 0.404907 loss: 1.776774 eta: 2:49:39 batch_cost: 1.0116 data_cost: 0.0041 ips: 55.3603 images/s [03/19 07:52:24] ppdet.engine INFO: Epoch: [279] [ 60/523] learning_rate: 0.003348 loss_vfl: 0.958623 loss_bbox: 0.459129 loss_dfl: 0.428646 loss: 1.856349 eta: 2:49:20 batch_cost: 0.8652 data_cost: 0.0074 ips: 64.7250 images/s [03/19 07:52:41] ppdet.engine INFO: Epoch: [279] [ 80/523] learning_rate: 0.003336 loss_vfl: 0.955894 loss_bbox: 0.428481 loss_dfl: 0.424093 loss: 1.830970 eta: 2:49:02 batch_cost: 0.7506 data_cost: 0.0029 ips: 74.6069 images/s [03/19 07:52:58] ppdet.engine INFO: Epoch: [279] [100/523] learning_rate: 0.003323 loss_vfl: 0.914740 loss_bbox: 0.400913 loss_dfl: 0.396967 loss: 1.696865 eta: 2:48:43 batch_cost: 0.7201 data_cost: 0.0013 ips: 77.7628 images/s [03/19 07:53:19] ppdet.engine INFO: Epoch: [279] [120/523] learning_rate: 0.003311 loss_vfl: 0.969728 loss_bbox: 0.436966 loss_dfl: 0.411035 loss: 1.816254 eta: 2:48:24 batch_cost: 0.8484 data_cost: 0.0030 ips: 66.0079 images/s [03/19 07:53:42] ppdet.engine INFO: Epoch: [279] [140/523] learning_rate: 0.003299 loss_vfl: 0.991582 loss_bbox: 0.445014 loss_dfl: 0.421884 loss: 1.839972 eta: 2:48:05 batch_cost: 1.0378 data_cost: 0.0059 ips: 53.9598 images/s [03/19 07:54:02] ppdet.engine INFO: Epoch: [279] [160/523] learning_rate: 0.003287 loss_vfl: 0.984211 loss_bbox: 0.434123 loss_dfl: 0.419492 loss: 1.829665 eta: 2:47:47 batch_cost: 0.9315 data_cost: 0.0047 ips: 60.1165 images/s [03/19 07:54:23] ppdet.engine INFO: Epoch: [279] [180/523] learning_rate: 0.003275 loss_vfl: 0.978625 loss_bbox: 0.420024 loss_dfl: 0.417456 loss: 1.835187 eta: 2:47:28 batch_cost: 0.9145 data_cost: 0.0068 ips: 61.2346 images/s [03/19 07:54:45] ppdet.engine INFO: Epoch: [279] [200/523] learning_rate: 0.003263 loss_vfl: 0.928707 loss_bbox: 0.409721 loss_dfl: 0.394581 loss: 1.736920 eta: 2:47:10 batch_cost: 0.9468 data_cost: 0.0020 ips: 59.1442 images/s [03/19 07:55:05] ppdet.engine INFO: Epoch: [279] [220/523] learning_rate: 0.003251 loss_vfl: 0.904934 loss_bbox: 0.402929 loss_dfl: 0.389565 loss: 1.689542 eta: 2:46:51 batch_cost: 0.8951 data_cost: 0.0042 ips: 62.5597 images/s [03/19 07:55:27] ppdet.engine INFO: Epoch: [279] [240/523] learning_rate: 0.003239 loss_vfl: 1.017374 loss_bbox: 0.423222 loss_dfl: 0.420974 loss: 1.859880 eta: 2:46:32 batch_cost: 0.9347 data_cost: 0.0017 ips: 59.9138 images/s [03/19 07:55:46] ppdet.engine INFO: Epoch: [279] [260/523] learning_rate: 0.003227 loss_vfl: 0.987092 loss_bbox: 0.439343 loss_dfl: 0.417453 loss: 1.850401 eta: 2:46:14 batch_cost: 0.8296 data_cost: 0.0042 ips: 67.5037 images/s [03/19 07:56:07] ppdet.engine INFO: Epoch: [279] [280/523] learning_rate: 0.003215 loss_vfl: 0.985901 loss_bbox: 0.449535 loss_dfl: 0.422551 loss: 1.874785 eta: 2:45:55 batch_cost: 0.9149 data_cost: 0.0035 ips: 61.2073 images/s [03/19 07:56:28] ppdet.engine INFO: Epoch: [279] [300/523] learning_rate: 0.003203 loss_vfl: 0.979073 loss_bbox: 0.445644 loss_dfl: 0.424914 loss: 1.850860 eta: 2:45:36 batch_cost: 0.9141 data_cost: 0.0035 ips: 61.2594 images/s [03/19 07:56:48] ppdet.engine INFO: Epoch: [279] [320/523] learning_rate: 0.003191 loss_vfl: 0.985207 loss_bbox: 0.439215 loss_dfl: 0.417177 loss: 1.847863 eta: 2:45:18 batch_cost: 0.8592 data_cost: 0.0045 ips: 65.1735 images/s [03/19 07:57:09] ppdet.engine INFO: Epoch: [279] [340/523] learning_rate: 0.003179 loss_vfl: 0.982807 loss_bbox: 0.419020 loss_dfl: 0.402029 loss: 1.789312 eta: 2:44:59 batch_cost: 0.9660 data_cost: 0.0158 ips: 57.9699 images/s [03/19 07:57:28] ppdet.engine INFO: Epoch: [279] [360/523] learning_rate: 0.003167 loss_vfl: 0.952079 loss_bbox: 0.397881 loss_dfl: 0.396116 loss: 1.732170 eta: 2:44:40 batch_cost: 0.7960 data_cost: 0.0078 ips: 70.3476 images/s [03/19 07:57:46] ppdet.engine INFO: Epoch: [279] [380/523] learning_rate: 0.003155 loss_vfl: 0.979517 loss_bbox: 0.424216 loss_dfl: 0.418141 loss: 1.831244 eta: 2:44:21 batch_cost: 0.7414 data_cost: 0.0083 ips: 75.5280 images/s [03/19 07:58:05] ppdet.engine INFO: Epoch: [279] [400/523] learning_rate: 0.003143 loss_vfl: 0.988075 loss_bbox: 0.435413 loss_dfl: 0.416848 loss: 1.847515 eta: 2:44:03 batch_cost: 0.8544 data_cost: 0.0018 ips: 65.5467 images/s [03/19 07:58:24] ppdet.engine INFO: Epoch: [279] [420/523] learning_rate: 0.003132 loss_vfl: 1.025472 loss_bbox: 0.459409 loss_dfl: 0.451515 loss: 1.943171 eta: 2:43:44 batch_cost: 0.8569 data_cost: 0.0252 ips: 65.3497 images/s [03/19 07:58:45] ppdet.engine INFO: Epoch: [279] [440/523] learning_rate: 0.003120 loss_vfl: 0.953026 loss_bbox: 0.433662 loss_dfl: 0.414439 loss: 1.811346 eta: 2:43:25 batch_cost: 0.9241 data_cost: 0.0029 ips: 60.5966 images/s [03/19 07:59:05] ppdet.engine INFO: Epoch: [279] [460/523] learning_rate: 0.003108 loss_vfl: 0.950516 loss_bbox: 0.421362 loss_dfl: 0.393358 loss: 1.745123 eta: 2:43:07 batch_cost: 0.8884 data_cost: 0.0043 ips: 63.0312 images/s [03/19 07:59:27] ppdet.engine INFO: Epoch: [279] [480/523] learning_rate: 0.003096 loss_vfl: 0.957591 loss_bbox: 0.433766 loss_dfl: 0.415621 loss: 1.824042 eta: 2:42:48 batch_cost: 0.9402 data_cost: 0.0102 ips: 59.5612 images/s [03/19 07:59:46] ppdet.engine INFO: Epoch: [279] [500/523] learning_rate: 0.003084 loss_vfl: 1.033208 loss_bbox: 0.461957 loss_dfl: 0.449859 loss: 1.950063 eta: 2:42:29 batch_cost: 0.7939 data_cost: 0.0008 ips: 70.5363 images/s [03/19 08:00:02] ppdet.engine INFO: Epoch: [279] [520/523] learning_rate: 0.003073 loss_vfl: 0.976954 loss_bbox: 0.407218 loss_dfl: 0.395875 loss: 1.762313 eta: 2:42:10 batch_cost: 0.6997 data_cost: 0.0020 ips: 80.0326 images/s [03/19 08:00:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 08:00:05] ppdet.engine INFO: Eval iter: 0 [03/19 08:00:26] ppdet.engine INFO: Eval iter: 100 [03/19 08:00:36] ppdet.engine INFO: Eval iter: 200 [03/19 08:00:46] ppdet.engine INFO: Eval iter: 300 [03/19 08:00:55] ppdet.engine INFO: Eval iter: 400 [03/19 08:01:05] ppdet.engine INFO: Eval iter: 500 [03/19 08:01:15] ppdet.engine INFO: Eval iter: 600 [03/19 08:01:29] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.98s) creating index... index created! [03/19 08:01:30] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.72s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=84.19s). Accumulating evaluation results... DONE (t=16.87s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.262 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.392 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.278 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.085 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.440 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.256 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.411 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.439 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.165 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.488 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.691 [03/19 08:03:18] ppdet.engine INFO: Total sample number: 4952, averge FPS: 67.99290734188662 [03/19 08:03:18] ppdet.engine INFO: Best test bbox ap is 0.262. [03/19 08:03:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 08:03:19] ppdet.engine INFO: Epoch: [280] [ 0/523] learning_rate: 0.003071 loss_vfl: 0.996346 loss_bbox: 0.412081 loss_dfl: 0.411582 loss: 1.817476 eta: 2:42:08 batch_cost: 0.5479 data_cost: 0.0018 ips: 102.2064 images/s [03/19 08:03:38] ppdet.engine INFO: Epoch: [280] [ 20/523] learning_rate: 0.003059 loss_vfl: 1.004225 loss_bbox: 0.451683 loss_dfl: 0.434666 loss: 1.909827 eta: 2:41:49 batch_cost: 0.7102 data_cost: 0.0033 ips: 78.8552 images/s [03/19 08:03:59] ppdet.engine INFO: Epoch: [280] [ 40/523] learning_rate: 0.003048 loss_vfl: 1.013082 loss_bbox: 0.444778 loss_dfl: 0.404304 loss: 1.870428 eta: 2:41:30 batch_cost: 0.9011 data_cost: 0.0195 ips: 62.1487 images/s [03/19 08:04:23] ppdet.engine INFO: Epoch: [280] [ 60/523] learning_rate: 0.003036 loss_vfl: 0.973908 loss_bbox: 0.427758 loss_dfl: 0.408610 loss: 1.802204 eta: 2:41:12 batch_cost: 1.0386 data_cost: 0.2536 ips: 53.9195 images/s [03/19 08:04:46] ppdet.engine INFO: Epoch: [280] [ 80/523] learning_rate: 0.003024 loss_vfl: 0.966322 loss_bbox: 0.412694 loss_dfl: 0.397709 loss: 1.779385 eta: 2:40:53 batch_cost: 1.0301 data_cost: 0.2694 ips: 54.3655 images/s [03/19 08:05:06] ppdet.engine INFO: Epoch: [280] [100/523] learning_rate: 0.003013 loss_vfl: 0.986018 loss_bbox: 0.436981 loss_dfl: 0.411995 loss: 1.834271 eta: 2:40:34 batch_cost: 0.8363 data_cost: 0.0058 ips: 66.9624 images/s [03/19 08:05:29] ppdet.engine INFO: Epoch: [280] [120/523] learning_rate: 0.003001 loss_vfl: 0.941460 loss_bbox: 0.409083 loss_dfl: 0.402104 loss: 1.784804 eta: 2:40:16 batch_cost: 1.0535 data_cost: 0.2790 ips: 53.1536 images/s [03/19 08:05:53] ppdet.engine INFO: Epoch: [280] [140/523] learning_rate: 0.002990 loss_vfl: 0.954438 loss_bbox: 0.424548 loss_dfl: 0.402019 loss: 1.752463 eta: 2:39:58 batch_cost: 1.1015 data_cost: 0.2885 ips: 50.8399 images/s [03/19 08:06:15] ppdet.engine INFO: Epoch: [280] [160/523] learning_rate: 0.002978 loss_vfl: 1.005248 loss_bbox: 0.456005 loss_dfl: 0.429125 loss: 1.896353 eta: 2:39:39 batch_cost: 0.8759 data_cost: 0.0075 ips: 63.9364 images/s [03/19 08:06:30] ppdet.engine INFO: Epoch: [280] [180/523] learning_rate: 0.002967 loss_vfl: 0.979717 loss_bbox: 0.442680 loss_dfl: 0.415882 loss: 1.834708 eta: 2:39:20 batch_cost: 0.6440 data_cost: 0.0027 ips: 86.9516 images/s [03/19 08:06:49] ppdet.engine INFO: Epoch: [280] [200/523] learning_rate: 0.002955 loss_vfl: 0.951329 loss_bbox: 0.420075 loss_dfl: 0.408943 loss: 1.784886 eta: 2:39:01 batch_cost: 0.8118 data_cost: 0.0563 ips: 68.9837 images/s [03/19 08:07:11] ppdet.engine INFO: Epoch: [280] [220/523] learning_rate: 0.002944 loss_vfl: 0.990938 loss_bbox: 0.443831 loss_dfl: 0.416893 loss: 1.879348 eta: 2:38:43 batch_cost: 0.9652 data_cost: 0.2017 ips: 58.0215 images/s [03/19 08:07:33] ppdet.engine INFO: Epoch: [280] [240/523] learning_rate: 0.002932 loss_vfl: 0.972227 loss_bbox: 0.425066 loss_dfl: 0.419763 loss: 1.826034 eta: 2:38:24 batch_cost: 0.9018 data_cost: 0.1842 ips: 62.0984 images/s [03/19 08:07:55] ppdet.engine INFO: Epoch: [280] [260/523] learning_rate: 0.002921 loss_vfl: 0.982695 loss_bbox: 0.444328 loss_dfl: 0.423580 loss: 1.845413 eta: 2:38:05 batch_cost: 0.9990 data_cost: 0.1517 ips: 56.0575 images/s [03/19 08:08:18] ppdet.engine INFO: Epoch: [280] [280/523] learning_rate: 0.002909 loss_vfl: 0.997193 loss_bbox: 0.460078 loss_dfl: 0.432964 loss: 1.872559 eta: 2:37:47 batch_cost: 0.9635 data_cost: 0.1881 ips: 58.1202 images/s [03/19 08:08:37] ppdet.engine INFO: Epoch: [280] [300/523] learning_rate: 0.002898 loss_vfl: 1.005653 loss_bbox: 0.456002 loss_dfl: 0.423025 loss: 1.881312 eta: 2:37:28 batch_cost: 0.8099 data_cost: 0.0022 ips: 69.1467 images/s [03/19 08:08:59] ppdet.engine INFO: Epoch: [280] [320/523] learning_rate: 0.002887 loss_vfl: 0.928306 loss_bbox: 0.425870 loss_dfl: 0.399427 loss: 1.785379 eta: 2:37:09 batch_cost: 0.9115 data_cost: 0.0971 ips: 61.4340 images/s [03/19 08:09:21] ppdet.engine INFO: Epoch: [280] [340/523] learning_rate: 0.002875 loss_vfl: 0.995493 loss_bbox: 0.438394 loss_dfl: 0.423771 loss: 1.869974 eta: 2:36:51 batch_cost: 0.9969 data_cost: 0.2292 ips: 56.1762 images/s [03/19 08:09:43] ppdet.engine INFO: Epoch: [280] [360/523] learning_rate: 0.002864 loss_vfl: 0.933824 loss_bbox: 0.425683 loss_dfl: 0.401482 loss: 1.739851 eta: 2:36:32 batch_cost: 0.9524 data_cost: 0.1991 ips: 58.8002 images/s [03/19 08:10:05] ppdet.engine INFO: Epoch: [280] [380/523] learning_rate: 0.002853 loss_vfl: 0.938594 loss_bbox: 0.415901 loss_dfl: 0.402905 loss: 1.732418 eta: 2:36:14 batch_cost: 0.9065 data_cost: 0.0726 ips: 61.7748 images/s [03/19 08:10:26] ppdet.engine INFO: Epoch: [280] [400/523] learning_rate: 0.002841 loss_vfl: 1.003593 loss_bbox: 0.460366 loss_dfl: 0.435977 loss: 1.873287 eta: 2:35:55 batch_cost: 0.8902 data_cost: 0.1216 ips: 62.9055 images/s [03/19 08:10:47] ppdet.engine INFO: Epoch: [280] [420/523] learning_rate: 0.002830 loss_vfl: 1.015649 loss_bbox: 0.478515 loss_dfl: 0.437790 loss: 1.947509 eta: 2:35:37 batch_cost: 0.9572 data_cost: 0.0962 ips: 58.5052 images/s [03/19 08:11:08] ppdet.engine INFO: Epoch: [280] [440/523] learning_rate: 0.002819 loss_vfl: 0.953316 loss_bbox: 0.444755 loss_dfl: 0.413452 loss: 1.807265 eta: 2:35:18 batch_cost: 0.8791 data_cost: 0.0460 ips: 63.7051 images/s [03/19 08:11:25] ppdet.engine INFO: Epoch: [280] [460/523] learning_rate: 0.002808 loss_vfl: 1.012041 loss_bbox: 0.452926 loss_dfl: 0.427913 loss: 1.892815 eta: 2:34:59 batch_cost: 0.7352 data_cost: 0.0009 ips: 76.1657 images/s [03/19 08:11:44] ppdet.engine INFO: Epoch: [280] [480/523] learning_rate: 0.002797 loss_vfl: 0.982933 loss_bbox: 0.441608 loss_dfl: 0.406010 loss: 1.822003 eta: 2:34:40 batch_cost: 0.7647 data_cost: 0.0029 ips: 73.2305 images/s [03/19 08:12:05] ppdet.engine INFO: Epoch: [280] [500/523] learning_rate: 0.002785 loss_vfl: 0.992610 loss_bbox: 0.438560 loss_dfl: 0.428554 loss: 1.872885 eta: 2:34:22 batch_cost: 0.9263 data_cost: 0.1793 ips: 60.4570 images/s [03/19 08:12:23] ppdet.engine INFO: Epoch: [280] [520/523] learning_rate: 0.002774 loss_vfl: 1.017680 loss_bbox: 0.466289 loss_dfl: 0.442298 loss: 1.933573 eta: 2:34:03 batch_cost: 0.7730 data_cost: 0.1616 ips: 72.4460 images/s [03/19 08:12:35] ppdet.engine INFO: Epoch: [281] [ 0/523] learning_rate: 0.002773 loss_vfl: 0.996362 loss_bbox: 0.466289 loss_dfl: 0.435222 loss: 1.907028 eta: 2:34:01 batch_cost: 1.2325 data_cost: 0.6194 ips: 45.4379 images/s [03/19 08:12:59] ppdet.engine INFO: Epoch: [281] [ 20/523] learning_rate: 0.002761 loss_vfl: 0.924714 loss_bbox: 0.400853 loss_dfl: 0.402713 loss: 1.716372 eta: 2:33:42 batch_cost: 0.9153 data_cost: 0.0039 ips: 61.1850 images/s [03/19 08:13:20] ppdet.engine INFO: Epoch: [281] [ 40/523] learning_rate: 0.002750 loss_vfl: 0.997578 loss_bbox: 0.427234 loss_dfl: 0.426918 loss: 1.853047 eta: 2:33:23 batch_cost: 0.7390 data_cost: 0.0122 ips: 75.7795 images/s [03/19 08:13:43] ppdet.engine INFO: Epoch: [281] 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0.408591 loss: 1.849740 eta: 2:31:50 batch_cost: 0.9590 data_cost: 0.1866 ips: 58.3912 images/s [03/19 08:15:37] ppdet.engine INFO: Epoch: [281] [160/523] learning_rate: 0.002684 loss_vfl: 0.961170 loss_bbox: 0.434455 loss_dfl: 0.416966 loss: 1.818977 eta: 2:31:32 batch_cost: 0.9338 data_cost: 0.1589 ips: 59.9704 images/s [03/19 08:15:56] ppdet.engine INFO: Epoch: [281] [180/523] learning_rate: 0.002673 loss_vfl: 0.945401 loss_bbox: 0.407290 loss_dfl: 0.399939 loss: 1.781938 eta: 2:31:13 batch_cost: 0.7963 data_cost: 0.0597 ips: 70.3214 images/s [03/19 08:16:14] ppdet.engine INFO: Epoch: [281] [200/523] learning_rate: 0.002662 loss_vfl: 0.982105 loss_bbox: 0.447382 loss_dfl: 0.428607 loss: 1.838270 eta: 2:30:54 batch_cost: 0.7818 data_cost: 0.0182 ips: 71.6294 images/s [03/19 08:16:34] ppdet.engine INFO: Epoch: [281] [220/523] learning_rate: 0.002652 loss_vfl: 0.981893 loss_bbox: 0.418841 loss_dfl: 0.410846 loss: 1.804867 eta: 2:30:35 batch_cost: 0.8398 data_cost: 0.0022 ips: 66.6859 images/s [03/19 08:16:58] ppdet.engine INFO: Epoch: [281] [240/523] learning_rate: 0.002641 loss_vfl: 0.951045 loss_bbox: 0.430094 loss_dfl: 0.396723 loss: 1.753076 eta: 2:30:17 batch_cost: 1.0311 data_cost: 0.0033 ips: 54.3106 images/s [03/19 08:17:19] ppdet.engine INFO: Epoch: [281] [260/523] learning_rate: 0.002630 loss_vfl: 1.002052 loss_bbox: 0.449570 loss_dfl: 0.428061 loss: 1.883247 eta: 2:29:58 batch_cost: 0.9053 data_cost: 0.0053 ips: 61.8548 images/s [03/19 08:17:42] ppdet.engine INFO: Epoch: [281] [280/523] learning_rate: 0.002619 loss_vfl: 0.945972 loss_bbox: 0.422515 loss_dfl: 0.415714 loss: 1.807310 eta: 2:29:40 batch_cost: 1.0215 data_cost: 0.0014 ips: 54.8194 images/s [03/19 08:18:06] ppdet.engine INFO: Epoch: [281] [300/523] learning_rate: 0.002608 loss_vfl: 0.936561 loss_bbox: 0.430921 loss_dfl: 0.412446 loss: 1.769070 eta: 2:29:21 batch_cost: 0.9932 data_cost: 0.0633 ips: 56.3854 images/s [03/19 08:18:28] ppdet.engine INFO: Epoch: [281] [320/523] learning_rate: 0.002597 loss_vfl: 0.951956 loss_bbox: 0.425250 loss_dfl: 0.406690 loss: 1.786499 eta: 2:29:03 batch_cost: 0.9488 data_cost: 0.0059 ips: 59.0249 images/s [03/19 08:18:48] ppdet.engine INFO: Epoch: [281] [340/523] learning_rate: 0.002587 loss_vfl: 0.990325 loss_bbox: 0.445508 loss_dfl: 0.420427 loss: 1.851519 eta: 2:28:44 batch_cost: 0.7996 data_cost: 0.0907 ips: 70.0386 images/s [03/19 08:19:10] ppdet.engine INFO: Epoch: [281] [360/523] learning_rate: 0.002576 loss_vfl: 0.921070 loss_bbox: 0.410585 loss_dfl: 0.398651 loss: 1.733181 eta: 2:28:26 batch_cost: 1.0063 data_cost: 0.2444 ips: 55.6511 images/s [03/19 08:19:35] ppdet.engine INFO: Epoch: [281] [380/523] learning_rate: 0.002565 loss_vfl: 1.022585 loss_bbox: 0.449501 loss_dfl: 0.427196 loss: 1.901307 eta: 2:28:07 batch_cost: 1.0289 data_cost: 0.1593 ips: 54.4267 images/s [03/19 08:19:56] ppdet.engine INFO: Epoch: [281] [400/523] learning_rate: 0.002555 loss_vfl: 0.967566 loss_bbox: 0.417942 loss_dfl: 0.429034 loss: 1.861259 eta: 2:27:48 batch_cost: 0.8754 data_cost: 0.0716 ips: 63.9671 images/s [03/19 08:20:16] ppdet.engine INFO: Epoch: [281] [420/523] learning_rate: 0.002544 loss_vfl: 0.982009 loss_bbox: 0.443578 loss_dfl: 0.424265 loss: 1.823552 eta: 2:27:30 batch_cost: 0.9084 data_cost: 0.0861 ips: 61.6440 images/s [03/19 08:20:35] ppdet.engine INFO: Epoch: [281] [440/523] learning_rate: 0.002533 loss_vfl: 0.968914 loss_bbox: 0.446597 loss_dfl: 0.424887 loss: 1.839736 eta: 2:27:11 batch_cost: 0.7978 data_cost: 0.0658 ips: 70.1936 images/s [03/19 08:20:56] ppdet.engine INFO: Epoch: [281] [460/523] learning_rate: 0.002523 loss_vfl: 0.961950 loss_bbox: 0.420161 loss_dfl: 0.401723 loss: 1.764512 eta: 2:26:52 batch_cost: 0.8293 data_cost: 0.1202 ips: 67.5255 images/s [03/19 08:21:17] ppdet.engine INFO: Epoch: [281] [480/523] learning_rate: 0.002512 loss_vfl: 1.004891 loss_bbox: 0.439337 loss_dfl: 0.425012 loss: 1.878372 eta: 2:26:34 batch_cost: 0.7977 data_cost: 0.0113 ips: 70.1989 images/s [03/19 08:21:38] ppdet.engine INFO: Epoch: [281] [500/523] learning_rate: 0.002501 loss_vfl: 0.982363 loss_bbox: 0.436786 loss_dfl: 0.421088 loss: 1.860784 eta: 2:26:15 batch_cost: 0.9200 data_cost: 0.1676 ips: 60.8663 images/s [03/19 08:21:56] ppdet.engine INFO: Epoch: [281] [520/523] learning_rate: 0.002491 loss_vfl: 0.946717 loss_bbox: 0.421565 loss_dfl: 0.408591 loss: 1.781285 eta: 2:25:56 batch_cost: 0.8099 data_cost: 0.1439 ips: 69.1446 images/s [03/19 08:22:09] ppdet.engine INFO: Epoch: [282] [ 0/523] learning_rate: 0.002489 loss_vfl: 0.946717 loss_bbox: 0.420113 loss_dfl: 0.409103 loss: 1.781285 eta: 2:25:54 batch_cost: 1.2118 data_cost: 0.4840 ips: 46.2105 images/s [03/19 08:22:32] ppdet.engine INFO: Epoch: [282] [ 20/523] learning_rate: 0.002479 loss_vfl: 1.030049 loss_bbox: 0.466103 loss_dfl: 0.446053 loss: 1.927390 eta: 2:25:35 batch_cost: 1.0158 data_cost: 0.0031 ips: 55.1286 images/s [03/19 08:22:53] ppdet.engine INFO: Epoch: [282] [ 40/523] learning_rate: 0.002468 loss_vfl: 0.985480 loss_bbox: 0.452961 loss_dfl: 0.427378 loss: 1.877881 eta: 2:25:17 batch_cost: 0.9071 data_cost: 0.0013 ips: 61.7327 images/s [03/19 08:23:17] ppdet.engine INFO: Epoch: [282] [ 60/523] learning_rate: 0.002458 loss_vfl: 0.950394 loss_bbox: 0.441384 loss_dfl: 0.416749 loss: 1.798261 eta: 2:24:58 batch_cost: 1.0405 data_cost: 0.0431 ips: 53.8190 images/s [03/19 08:23:41] ppdet.engine INFO: Epoch: [282] [ 80/523] learning_rate: 0.002447 loss_vfl: 0.995650 loss_bbox: 0.441429 loss_dfl: 0.424899 loss: 1.850758 eta: 2:24:40 batch_cost: 1.0597 data_cost: 0.3525 ips: 52.8439 images/s [03/19 08:24:03] ppdet.engine INFO: Epoch: [282] [100/523] learning_rate: 0.002437 loss_vfl: 0.967759 loss_bbox: 0.429196 loss_dfl: 0.426451 loss: 1.807410 eta: 2:24:21 batch_cost: 0.8730 data_cost: 0.2577 ips: 64.1497 images/s [03/19 08:24:25] ppdet.engine INFO: Epoch: [282] [120/523] learning_rate: 0.002426 loss_vfl: 0.958617 loss_bbox: 0.439135 loss_dfl: 0.422634 loss: 1.830795 eta: 2:24:03 batch_cost: 0.9635 data_cost: 0.2335 ips: 58.1190 images/s [03/19 08:24:47] ppdet.engine INFO: Epoch: [282] [140/523] learning_rate: 0.002416 loss_vfl: 0.975731 loss_bbox: 0.442922 loss_dfl: 0.415726 loss: 1.838551 eta: 2:23:44 batch_cost: 1.0054 data_cost: 0.3268 ips: 55.6987 images/s [03/19 08:25:04] ppdet.engine INFO: Epoch: [282] [160/523] learning_rate: 0.002406 loss_vfl: 0.967053 loss_bbox: 0.440237 loss_dfl: 0.411175 loss: 1.814371 eta: 2:23:25 batch_cost: 0.6912 data_cost: 0.0015 ips: 81.0229 images/s [03/19 08:25:24] ppdet.engine INFO: Epoch: [282] [180/523] learning_rate: 0.002395 loss_vfl: 0.992152 loss_bbox: 0.448559 loss_dfl: 0.422155 loss: 1.873490 eta: 2:23:07 batch_cost: 0.8423 data_cost: 0.2046 ips: 66.4874 images/s [03/19 08:25:49] ppdet.engine INFO: Epoch: [282] [200/523] learning_rate: 0.002385 loss_vfl: 0.983224 loss_bbox: 0.432190 loss_dfl: 0.416068 loss: 1.849925 eta: 2:22:48 batch_cost: 1.0446 data_cost: 0.3516 ips: 53.6099 images/s [03/19 08:26:10] ppdet.engine INFO: Epoch: [282] 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0.424718 loss: 1.853456 eta: 2:21:15 batch_cost: 0.8598 data_cost: 0.0373 ips: 65.1283 images/s [03/19 08:27:59] ppdet.engine INFO: Epoch: [282] [320/523] learning_rate: 0.002323 loss_vfl: 0.983365 loss_bbox: 0.438444 loss_dfl: 0.418336 loss: 1.847265 eta: 2:20:57 batch_cost: 0.8466 data_cost: 0.0667 ips: 66.1498 images/s [03/19 08:28:24] ppdet.engine INFO: Epoch: [282] [340/523] learning_rate: 0.002313 loss_vfl: 0.950494 loss_bbox: 0.430213 loss_dfl: 0.408844 loss: 1.792452 eta: 2:20:38 batch_cost: 1.0833 data_cost: 0.0031 ips: 51.6929 images/s [03/19 08:28:46] ppdet.engine INFO: Epoch: [282] [360/523] learning_rate: 0.002303 loss_vfl: 0.983161 loss_bbox: 0.428625 loss_dfl: 0.416582 loss: 1.822785 eta: 2:20:19 batch_cost: 0.8375 data_cost: 0.0043 ips: 66.8644 images/s [03/19 08:29:07] ppdet.engine INFO: Epoch: [282] [380/523] learning_rate: 0.002293 loss_vfl: 1.037245 loss_bbox: 0.456136 loss_dfl: 0.436512 loss: 1.953443 eta: 2:20:01 batch_cost: 0.9025 data_cost: 0.0049 ips: 62.0519 images/s [03/19 08:29:28] ppdet.engine INFO: Epoch: [282] [400/523] learning_rate: 0.002283 loss_vfl: 0.975075 loss_bbox: 0.428729 loss_dfl: 0.424614 loss: 1.824016 eta: 2:19:42 batch_cost: 0.9027 data_cost: 0.2543 ips: 62.0352 images/s [03/19 08:29:48] ppdet.engine INFO: Epoch: [282] [420/523] learning_rate: 0.002273 loss_vfl: 1.007303 loss_bbox: 0.449263 loss_dfl: 0.428898 loss: 1.898823 eta: 2:19:23 batch_cost: 0.8722 data_cost: 0.2070 ips: 64.2033 images/s [03/19 08:30:06] ppdet.engine INFO: Epoch: [282] [440/523] learning_rate: 0.002263 loss_vfl: 0.964739 loss_bbox: 0.437215 loss_dfl: 0.422845 loss: 1.821638 eta: 2:19:05 batch_cost: 0.7165 data_cost: 0.0503 ips: 78.1597 images/s [03/19 08:30:26] ppdet.engine INFO: Epoch: [282] [460/523] learning_rate: 0.002253 loss_vfl: 0.977521 loss_bbox: 0.440422 loss_dfl: 0.408446 loss: 1.828835 eta: 2:18:46 batch_cost: 0.8365 data_cost: 0.1099 ips: 66.9440 images/s [03/19 08:30:50] ppdet.engine INFO: Epoch: [282] [480/523] learning_rate: 0.002243 loss_vfl: 1.046090 loss_bbox: 0.451044 loss_dfl: 0.444762 loss: 1.944626 eta: 2:18:27 batch_cost: 1.0579 data_cost: 0.3314 ips: 52.9370 images/s [03/19 08:31:12] ppdet.engine INFO: Epoch: [282] [500/523] learning_rate: 0.002233 loss_vfl: 0.959677 loss_bbox: 0.417463 loss_dfl: 0.423516 loss: 1.802953 eta: 2:18:09 batch_cost: 0.9789 data_cost: 0.2084 ips: 57.2055 images/s [03/19 08:31:29] ppdet.engine INFO: Epoch: [282] [520/523] learning_rate: 0.002223 loss_vfl: 0.945029 loss_bbox: 0.428772 loss_dfl: 0.412387 loss: 1.780019 eta: 2:17:50 batch_cost: 0.6955 data_cost: 0.0064 ips: 80.5230 images/s [03/19 08:31:43] ppdet.engine INFO: Epoch: [283] [ 0/523] learning_rate: 0.002221 loss_vfl: 0.935393 loss_bbox: 0.425064 loss_dfl: 0.408332 loss: 1.760809 eta: 2:17:48 batch_cost: 1.1910 data_cost: 0.5309 ips: 47.0198 images/s [03/19 08:32:06] ppdet.engine INFO: Epoch: [283] [ 20/523] learning_rate: 0.002211 loss_vfl: 0.985192 loss_bbox: 0.451248 loss_dfl: 0.422251 loss: 1.860590 eta: 2:17:29 batch_cost: 0.9169 data_cost: 0.0120 ips: 61.0774 images/s [03/19 08:32:29] ppdet.engine INFO: Epoch: [283] [ 40/523] learning_rate: 0.002201 loss_vfl: 0.977237 loss_bbox: 0.439893 loss_dfl: 0.413244 loss: 1.802619 eta: 2:17:11 batch_cost: 0.9336 data_cost: 0.1445 ips: 59.9829 images/s [03/19 08:32:52] ppdet.engine INFO: Epoch: [283] [ 60/523] learning_rate: 0.002191 loss_vfl: 1.003952 loss_bbox: 0.444182 loss_dfl: 0.424205 loss: 1.868704 eta: 2:16:52 batch_cost: 0.9723 data_cost: 0.2771 ips: 57.5978 images/s [03/19 08:33:13] ppdet.engine INFO: Epoch: [283] [ 80/523] learning_rate: 0.002181 loss_vfl: 0.953542 loss_bbox: 0.404852 loss_dfl: 0.395054 loss: 1.749345 eta: 2:16:33 batch_cost: 0.9695 data_cost: 0.2403 ips: 57.7593 images/s [03/19 08:33:36] ppdet.engine INFO: Epoch: [283] [100/523] learning_rate: 0.002172 loss_vfl: 0.956863 loss_bbox: 0.421163 loss_dfl: 0.400793 loss: 1.751504 eta: 2:16:15 batch_cost: 0.9438 data_cost: 0.1735 ips: 59.3370 images/s [03/19 08:33:59] ppdet.engine INFO: Epoch: [283] [120/523] learning_rate: 0.002162 loss_vfl: 0.940238 loss_bbox: 0.400451 loss_dfl: 0.408387 loss: 1.758105 eta: 2:15:56 batch_cost: 0.9982 data_cost: 0.3717 ips: 56.1030 images/s [03/19 08:34:16] ppdet.engine INFO: Epoch: [283] [140/523] learning_rate: 0.002152 loss_vfl: 1.014979 loss_bbox: 0.453454 loss_dfl: 0.428344 loss: 1.899531 eta: 2:15:38 batch_cost: 0.6951 data_cost: 0.0018 ips: 80.5667 images/s [03/19 08:34:33] ppdet.engine INFO: Epoch: [283] [160/523] learning_rate: 0.002142 loss_vfl: 0.923439 loss_bbox: 0.435542 loss_dfl: 0.400380 loss: 1.744733 eta: 2:15:19 batch_cost: 0.6901 data_cost: 0.0059 ips: 81.1446 images/s [03/19 08:34:56] ppdet.engine INFO: Epoch: [283] [180/523] learning_rate: 0.002132 loss_vfl: 1.007655 loss_bbox: 0.444079 loss_dfl: 0.423026 loss: 1.873629 eta: 2:15:00 batch_cost: 0.9351 data_cost: 0.1064 ips: 59.8893 images/s [03/19 08:35:16] ppdet.engine INFO: Epoch: [283] [200/523] learning_rate: 0.002123 loss_vfl: 0.973137 loss_bbox: 0.407556 loss_dfl: 0.406859 loss: 1.813243 eta: 2:14:41 batch_cost: 0.8352 data_cost: 0.0877 ips: 67.0510 images/s [03/19 08:35:38] ppdet.engine INFO: Epoch: [283] [220/523] learning_rate: 0.002113 loss_vfl: 0.943284 loss_bbox: 0.435003 loss_dfl: 0.406664 loss: 1.781335 eta: 2:14:23 batch_cost: 0.9372 data_cost: 0.1621 ips: 59.7502 images/s [03/19 08:35:59] ppdet.engine INFO: Epoch: [283] [240/523] learning_rate: 0.002103 loss_vfl: 0.979814 loss_bbox: 0.433278 loss_dfl: 0.414171 loss: 1.852919 eta: 2:14:04 batch_cost: 0.8898 data_cost: 0.1283 ips: 62.9348 images/s [03/19 08:36:24] ppdet.engine INFO: Epoch: [283] [260/523] learning_rate: 0.002093 loss_vfl: 0.914016 loss_bbox: 0.421507 loss_dfl: 0.388862 loss: 1.712947 eta: 2:13:46 batch_cost: 1.1254 data_cost: 0.0056 ips: 49.7597 images/s [03/19 08:36:47] ppdet.engine INFO: Epoch: [283] [280/523] learning_rate: 0.002084 loss_vfl: 0.966815 loss_bbox: 0.421328 loss_dfl: 0.412305 loss: 1.779461 eta: 2:13:27 batch_cost: 1.0652 data_cost: 0.0126 ips: 52.5707 images/s [03/19 08:37:10] ppdet.engine INFO: Epoch: [283] [300/523] learning_rate: 0.002074 loss_vfl: 0.938800 loss_bbox: 0.406065 loss_dfl: 0.389922 loss: 1.716973 eta: 2:13:09 batch_cost: 1.0136 data_cost: 0.0079 ips: 55.2480 images/s [03/19 08:37:30] ppdet.engine INFO: Epoch: [283] [320/523] learning_rate: 0.002064 loss_vfl: 0.952629 loss_bbox: 0.399283 loss_dfl: 0.393511 loss: 1.745414 eta: 2:12:50 batch_cost: 0.8084 data_cost: 0.0012 ips: 69.2711 images/s [03/19 08:37:54] ppdet.engine INFO: Epoch: [283] [340/523] learning_rate: 0.002055 loss_vfl: 0.979888 loss_bbox: 0.426405 loss_dfl: 0.412697 loss: 1.792321 eta: 2:12:32 batch_cost: 1.0264 data_cost: 0.0011 ips: 54.5599 images/s [03/19 08:38:15] ppdet.engine INFO: Epoch: [283] [360/523] learning_rate: 0.002045 loss_vfl: 0.989625 loss_bbox: 0.438161 loss_dfl: 0.415823 loss: 1.821797 eta: 2:12:13 batch_cost: 0.9511 data_cost: 0.1666 ips: 58.8806 images/s [03/19 08:38:38] ppdet.engine INFO: Epoch: [283] 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0.419154 loss: 1.831991 eta: 2:10:40 batch_cost: 0.9213 data_cost: 0.2037 ips: 60.7829 images/s [03/19 08:40:18] ppdet.engine INFO: Epoch: [283] [480/523] learning_rate: 0.001988 loss_vfl: 0.972058 loss_bbox: 0.434861 loss_dfl: 0.416385 loss: 1.841825 eta: 2:10:21 batch_cost: 0.9882 data_cost: 0.2415 ips: 56.6662 images/s [03/19 08:40:40] ppdet.engine INFO: Epoch: [283] [500/523] learning_rate: 0.001979 loss_vfl: 0.989143 loss_bbox: 0.439781 loss_dfl: 0.408973 loss: 1.824395 eta: 2:10:02 batch_cost: 0.9526 data_cost: 0.2717 ips: 58.7849 images/s [03/19 08:40:59] ppdet.engine INFO: Epoch: [283] [520/523] learning_rate: 0.001969 loss_vfl: 1.029899 loss_bbox: 0.468791 loss_dfl: 0.435626 loss: 1.915985 eta: 2:09:44 batch_cost: 0.8259 data_cost: 0.1991 ips: 67.8050 images/s [03/19 08:41:11] ppdet.engine INFO: Epoch: [284] [ 0/523] learning_rate: 0.001968 loss_vfl: 1.046506 loss_bbox: 0.460745 loss_dfl: 0.439651 loss: 1.942217 eta: 2:09:41 batch_cost: 1.1961 data_cost: 0.6555 ips: 46.8205 images/s [03/19 08:41:34] ppdet.engine INFO: Epoch: [284] [ 20/523] learning_rate: 0.001959 loss_vfl: 0.981573 loss_bbox: 0.436514 loss_dfl: 0.414072 loss: 1.848412 eta: 2:09:23 batch_cost: 0.9656 data_cost: 0.0040 ips: 57.9921 images/s [03/19 08:41:54] ppdet.engine INFO: Epoch: [284] [ 40/523] learning_rate: 0.001949 loss_vfl: 0.944311 loss_bbox: 0.424689 loss_dfl: 0.407125 loss: 1.794774 eta: 2:09:04 batch_cost: 0.8435 data_cost: 0.0437 ips: 66.3933 images/s [03/19 08:42:18] ppdet.engine INFO: Epoch: [284] [ 60/523] learning_rate: 0.001940 loss_vfl: 0.989440 loss_bbox: 0.450499 loss_dfl: 0.419261 loss: 1.808420 eta: 2:08:46 batch_cost: 1.0692 data_cost: 0.2758 ips: 52.3775 images/s [03/19 08:42:40] ppdet.engine INFO: Epoch: [284] [ 80/523] learning_rate: 0.001931 loss_vfl: 0.987296 loss_bbox: 0.449986 loss_dfl: 0.427074 loss: 1.860127 eta: 2:08:27 batch_cost: 0.9563 data_cost: 0.1144 ips: 58.5589 images/s [03/19 08:43:02] ppdet.engine INFO: Epoch: [284] [100/523] learning_rate: 0.001921 loss_vfl: 0.970803 loss_bbox: 0.433954 loss_dfl: 0.408984 loss: 1.797423 eta: 2:08:09 batch_cost: 0.9217 data_cost: 0.2221 ips: 60.7602 images/s [03/19 08:43:22] ppdet.engine INFO: Epoch: [284] [120/523] learning_rate: 0.001912 loss_vfl: 0.947412 loss_bbox: 0.413701 loss_dfl: 0.403409 loss: 1.766129 eta: 2:07:50 batch_cost: 0.7837 data_cost: 0.0528 ips: 71.4524 images/s [03/19 08:43:40] ppdet.engine INFO: Epoch: [284] [140/523] learning_rate: 0.001903 loss_vfl: 0.953246 loss_bbox: 0.435826 loss_dfl: 0.416511 loss: 1.806849 eta: 2:07:31 batch_cost: 0.7371 data_cost: 0.0032 ips: 75.9769 images/s [03/19 08:44:01] ppdet.engine INFO: Epoch: [284] [160/523] learning_rate: 0.001894 loss_vfl: 1.010543 loss_bbox: 0.438539 loss_dfl: 0.422832 loss: 1.865964 eta: 2:07:12 batch_cost: 0.8540 data_cost: 0.0953 ips: 65.5737 images/s [03/19 08:44:22] ppdet.engine INFO: Epoch: [284] [180/523] learning_rate: 0.001884 loss_vfl: 0.975620 loss_bbox: 0.449097 loss_dfl: 0.411598 loss: 1.851921 eta: 2:06:54 batch_cost: 0.9233 data_cost: 0.0127 ips: 60.6536 images/s [03/19 08:44:44] ppdet.engine INFO: Epoch: [284] [200/523] learning_rate: 0.001875 loss_vfl: 0.984326 loss_bbox: 0.435135 loss_dfl: 0.424666 loss: 1.837806 eta: 2:06:35 batch_cost: 0.8066 data_cost: 0.0056 ips: 69.4234 images/s [03/19 08:45:06] ppdet.engine INFO: Epoch: [284] [220/523] learning_rate: 0.001866 loss_vfl: 0.985880 loss_bbox: 0.443283 loss_dfl: 0.410050 loss: 1.828231 eta: 2:06:16 batch_cost: 0.9467 data_cost: 0.0507 ips: 59.1521 images/s [03/19 08:45:27] ppdet.engine INFO: Epoch: [284] [240/523] learning_rate: 0.001857 loss_vfl: 0.980005 loss_bbox: 0.432160 loss_dfl: 0.409316 loss: 1.818546 eta: 2:05:58 batch_cost: 0.9905 data_cost: 0.2114 ips: 56.5397 images/s [03/19 08:45:48] ppdet.engine INFO: Epoch: [284] [260/523] learning_rate: 0.001848 loss_vfl: 0.951115 loss_bbox: 0.422208 loss_dfl: 0.410101 loss: 1.798027 eta: 2:05:39 batch_cost: 0.8440 data_cost: 0.1459 ips: 66.3496 images/s [03/19 08:46:12] ppdet.engine INFO: Epoch: [284] [280/523] learning_rate: 0.001839 loss_vfl: 0.953562 loss_bbox: 0.450713 loss_dfl: 0.421092 loss: 1.827157 eta: 2:05:21 batch_cost: 1.0336 data_cost: 0.2696 ips: 54.1819 images/s [03/19 08:46:33] ppdet.engine INFO: Epoch: [284] [300/523] learning_rate: 0.001830 loss_vfl: 0.909175 loss_bbox: 0.406298 loss_dfl: 0.396341 loss: 1.706050 eta: 2:05:02 batch_cost: 0.9462 data_cost: 0.2182 ips: 59.1835 images/s [03/19 08:46:55] ppdet.engine INFO: Epoch: [284] [320/523] learning_rate: 0.001821 loss_vfl: 0.972529 loss_bbox: 0.431590 loss_dfl: 0.416381 loss: 1.807563 eta: 2:04:44 batch_cost: 0.9860 data_cost: 0.2452 ips: 56.7940 images/s [03/19 08:47:16] ppdet.engine INFO: Epoch: [284] [340/523] learning_rate: 0.001812 loss_vfl: 1.009858 loss_bbox: 0.441042 loss_dfl: 0.439966 loss: 1.892851 eta: 2:04:25 batch_cost: 0.9374 data_cost: 0.1891 ips: 59.7376 images/s [03/19 08:47:38] ppdet.engine INFO: Epoch: [284] [360/523] learning_rate: 0.001803 loss_vfl: 0.971853 loss_bbox: 0.417926 loss_dfl: 0.411852 loss: 1.798306 eta: 2:04:06 batch_cost: 0.9678 data_cost: 0.1865 ips: 57.8651 images/s [03/19 08:47:59] ppdet.engine INFO: Epoch: [284] [380/523] learning_rate: 0.001794 loss_vfl: 1.001459 loss_bbox: 0.440025 loss_dfl: 0.422111 loss: 1.877678 eta: 2:03:48 batch_cost: 0.8976 data_cost: 0.1740 ips: 62.3895 images/s [03/19 08:48:19] ppdet.engine INFO: Epoch: [284] [400/523] learning_rate: 0.001785 loss_vfl: 0.937080 loss_bbox: 0.427614 loss_dfl: 0.406050 loss: 1.780045 eta: 2:03:29 batch_cost: 0.8677 data_cost: 0.0352 ips: 64.5400 images/s [03/19 08:48:36] ppdet.engine INFO: Epoch: [284] [420/523] learning_rate: 0.001776 loss_vfl: 0.968695 loss_bbox: 0.428880 loss_dfl: 0.396422 loss: 1.808051 eta: 2:03:10 batch_cost: 0.7469 data_cost: 0.0029 ips: 74.9788 images/s [03/19 08:48:57] ppdet.engine INFO: Epoch: [284] [440/523] learning_rate: 0.001767 loss_vfl: 0.973458 loss_bbox: 0.429668 loss_dfl: 0.411875 loss: 1.797905 eta: 2:02:52 batch_cost: 0.8132 data_cost: 0.0061 ips: 68.8624 images/s [03/19 08:49:19] ppdet.engine INFO: Epoch: [284] [460/523] learning_rate: 0.001758 loss_vfl: 1.008429 loss_bbox: 0.424438 loss_dfl: 0.413683 loss: 1.848916 eta: 2:02:33 batch_cost: 0.9571 data_cost: 0.0404 ips: 58.5127 images/s [03/19 08:49:39] ppdet.engine INFO: Epoch: [284] [480/523] learning_rate: 0.001749 loss_vfl: 0.948739 loss_bbox: 0.436241 loss_dfl: 0.406524 loss: 1.796173 eta: 2:02:14 batch_cost: 0.9047 data_cost: 0.0038 ips: 61.8960 images/s [03/19 08:50:03] ppdet.engine INFO: Epoch: [284] [500/523] learning_rate: 0.001740 loss_vfl: 0.990265 loss_bbox: 0.422609 loss_dfl: 0.416132 loss: 1.837541 eta: 2:01:56 batch_cost: 1.1034 data_cost: 0.3519 ips: 50.7524 images/s [03/19 08:50:21] ppdet.engine INFO: Epoch: [284] [520/523] learning_rate: 0.001732 loss_vfl: 0.995479 loss_bbox: 0.444942 loss_dfl: 0.426219 loss: 1.880081 eta: 2:01:37 batch_cost: 0.6775 data_cost: 0.0061 ips: 82.6587 images/s [03/19 08:50:34] ppdet.engine INFO: Epoch: [285] 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0.439758 loss: 1.943252 eta: 2:00:20 batch_cost: 0.9832 data_cost: 0.0054 ips: 56.9552 images/s [03/19 08:52:21] ppdet.engine INFO: Epoch: [285] [100/523] learning_rate: 0.001686 loss_vfl: 0.952379 loss_bbox: 0.414598 loss_dfl: 0.403107 loss: 1.757038 eta: 2:00:02 batch_cost: 0.9432 data_cost: 0.0047 ips: 59.3702 images/s [03/19 08:52:42] ppdet.engine INFO: Epoch: [285] [120/523] learning_rate: 0.001678 loss_vfl: 0.954090 loss_bbox: 0.433475 loss_dfl: 0.410887 loss: 1.791041 eta: 1:59:43 batch_cost: 0.8791 data_cost: 0.0084 ips: 63.7032 images/s [03/19 08:53:02] ppdet.engine INFO: Epoch: [285] [140/523] learning_rate: 0.001669 loss_vfl: 0.952178 loss_bbox: 0.436613 loss_dfl: 0.413364 loss: 1.780174 eta: 1:59:24 batch_cost: 0.8555 data_cost: 0.0038 ips: 65.4595 images/s [03/19 08:53:18] ppdet.engine INFO: Epoch: [285] [160/523] learning_rate: 0.001661 loss_vfl: 0.966925 loss_bbox: 0.444439 loss_dfl: 0.415487 loss: 1.835301 eta: 1:59:06 batch_cost: 0.6790 data_cost: 0.0114 ips: 82.4799 images/s [03/19 08:53:38] ppdet.engine INFO: Epoch: [285] [180/523] learning_rate: 0.001652 loss_vfl: 0.943461 loss_bbox: 0.430609 loss_dfl: 0.405144 loss: 1.775891 eta: 1:58:47 batch_cost: 0.8420 data_cost: 0.0052 ips: 66.5098 images/s [03/19 08:54:00] ppdet.engine INFO: Epoch: [285] [200/523] learning_rate: 0.001643 loss_vfl: 0.965251 loss_bbox: 0.423447 loss_dfl: 0.404860 loss: 1.803714 eta: 1:58:28 batch_cost: 0.9693 data_cost: 0.0022 ips: 57.7729 images/s [03/19 08:54:21] ppdet.engine INFO: Epoch: [285] [220/523] learning_rate: 0.001635 loss_vfl: 0.940808 loss_bbox: 0.421357 loss_dfl: 0.399608 loss: 1.770696 eta: 1:58:10 batch_cost: 0.8612 data_cost: 0.0584 ips: 65.0220 images/s [03/19 08:54:41] ppdet.engine INFO: Epoch: [285] [240/523] learning_rate: 0.001626 loss_vfl: 0.982924 loss_bbox: 0.449157 loss_dfl: 0.422896 loss: 1.850328 eta: 1:57:51 batch_cost: 0.8604 data_cost: 0.0723 ips: 65.0871 images/s [03/19 08:55:02] ppdet.engine INFO: Epoch: [285] [260/523] learning_rate: 0.001618 loss_vfl: 0.957123 loss_bbox: 0.417634 loss_dfl: 0.399799 loss: 1.769487 eta: 1:57:32 batch_cost: 0.9407 data_cost: 0.1622 ips: 59.5289 images/s [03/19 08:55:23] ppdet.engine INFO: Epoch: [285] [280/523] learning_rate: 0.001609 loss_vfl: 0.956446 loss_bbox: 0.420762 loss_dfl: 0.406609 loss: 1.793535 eta: 1:57:14 batch_cost: 0.9507 data_cost: 0.0058 ips: 58.9035 images/s [03/19 08:55:43] ppdet.engine INFO: Epoch: [285] [300/523] learning_rate: 0.001601 loss_vfl: 0.926750 loss_bbox: 0.420071 loss_dfl: 0.393531 loss: 1.728074 eta: 1:56:55 batch_cost: 0.7851 data_cost: 0.0497 ips: 71.3317 images/s [03/19 08:56:06] ppdet.engine INFO: Epoch: [285] [320/523] learning_rate: 0.001592 loss_vfl: 0.911334 loss_bbox: 0.409629 loss_dfl: 0.401519 loss: 1.713692 eta: 1:56:37 batch_cost: 0.9535 data_cost: 0.1585 ips: 58.7323 images/s [03/19 08:56:27] ppdet.engine INFO: Epoch: [285] [340/523] learning_rate: 0.001584 loss_vfl: 0.994553 loss_bbox: 0.432709 loss_dfl: 0.420542 loss: 1.847581 eta: 1:56:18 batch_cost: 0.8978 data_cost: 0.0848 ips: 62.3745 images/s [03/19 08:56:48] ppdet.engine INFO: Epoch: [285] [360/523] learning_rate: 0.001575 loss_vfl: 0.963714 loss_bbox: 0.434587 loss_dfl: 0.409764 loss: 1.787935 eta: 1:55:59 batch_cost: 0.9343 data_cost: 0.1427 ips: 59.9355 images/s [03/19 08:57:09] ppdet.engine INFO: Epoch: [285] [380/523] learning_rate: 0.001567 loss_vfl: 1.020500 loss_bbox: 0.447931 loss_dfl: 0.428432 loss: 1.890821 eta: 1:55:41 batch_cost: 0.8630 data_cost: 0.1076 ips: 64.8864 images/s [03/19 08:57:30] ppdet.engine INFO: Epoch: [285] [400/523] learning_rate: 0.001559 loss_vfl: 0.986255 loss_bbox: 0.442224 loss_dfl: 0.430354 loss: 1.875042 eta: 1:55:22 batch_cost: 0.8971 data_cost: 0.0349 ips: 62.4258 images/s [03/19 08:57:47] ppdet.engine INFO: Epoch: [285] [420/523] learning_rate: 0.001550 loss_vfl: 0.976434 loss_bbox: 0.429924 loss_dfl: 0.417891 loss: 1.825981 eta: 1:55:03 batch_cost: 0.7197 data_cost: 0.0097 ips: 77.8100 images/s [03/19 08:58:06] ppdet.engine INFO: Epoch: [285] [440/523] learning_rate: 0.001542 loss_vfl: 1.000072 loss_bbox: 0.428869 loss_dfl: 0.422319 loss: 1.830754 eta: 1:54:45 batch_cost: 0.8620 data_cost: 0.1122 ips: 64.9663 images/s [03/19 08:58:25] ppdet.engine INFO: Epoch: [285] [460/523] learning_rate: 0.001534 loss_vfl: 1.002079 loss_bbox: 0.458861 loss_dfl: 0.440896 loss: 1.930373 eta: 1:54:26 batch_cost: 0.7313 data_cost: 0.0045 ips: 76.5738 images/s [03/19 08:58:46] ppdet.engine INFO: Epoch: [285] [480/523] learning_rate: 0.001525 loss_vfl: 0.994636 loss_bbox: 0.435975 loss_dfl: 0.419636 loss: 1.847575 eta: 1:54:07 batch_cost: 0.8756 data_cost: 0.0174 ips: 63.9560 images/s [03/19 08:59:07] ppdet.engine INFO: Epoch: [285] [500/523] learning_rate: 0.001517 loss_vfl: 1.007867 loss_bbox: 0.426855 loss_dfl: 0.417658 loss: 1.866677 eta: 1:53:49 batch_cost: 0.9301 data_cost: 0.0036 ips: 60.2064 images/s [03/19 08:59:25] ppdet.engine INFO: Epoch: [285] [520/523] learning_rate: 0.001509 loss_vfl: 0.947322 loss_bbox: 0.417276 loss_dfl: 0.403533 loss: 1.767491 eta: 1:53:30 batch_cost: 0.7608 data_cost: 0.0044 ips: 73.6063 images/s [03/19 08:59:37] ppdet.engine INFO: Epoch: [286] [ 0/523] learning_rate: 0.001508 loss_vfl: 0.947322 loss_bbox: 0.417098 loss_dfl: 0.399496 loss: 1.765701 eta: 1:53:27 batch_cost: 1.1621 data_cost: 0.4347 ips: 48.1894 images/s [03/19 09:00:02] ppdet.engine INFO: Epoch: [286] [ 20/523] learning_rate: 0.001499 loss_vfl: 0.938876 loss_bbox: 0.415595 loss_dfl: 0.402922 loss: 1.758588 eta: 1:53:09 batch_cost: 1.0776 data_cost: 0.3081 ips: 51.9665 images/s [03/19 09:00:23] ppdet.engine INFO: Epoch: [286] [ 40/523] learning_rate: 0.001491 loss_vfl: 1.000691 loss_bbox: 0.435991 loss_dfl: 0.431445 loss: 1.879701 eta: 1:52:50 batch_cost: 0.9680 data_cost: 0.2320 ips: 57.8540 images/s [03/19 09:00:48] ppdet.engine INFO: Epoch: [286] [ 60/523] learning_rate: 0.001483 loss_vfl: 0.966914 loss_bbox: 0.428261 loss_dfl: 0.399544 loss: 1.799905 eta: 1:52:32 batch_cost: 1.0810 data_cost: 0.2732 ips: 51.8054 images/s [03/19 09:01:10] ppdet.engine INFO: Epoch: [286] [ 80/523] learning_rate: 0.001475 loss_vfl: 0.966241 loss_bbox: 0.426498 loss_dfl: 0.405081 loss: 1.782171 eta: 1:52:13 batch_cost: 0.9216 data_cost: 0.1908 ips: 60.7629 images/s [03/19 09:01:29] ppdet.engine INFO: Epoch: [286] [100/523] learning_rate: 0.001467 loss_vfl: 0.974772 loss_bbox: 0.445522 loss_dfl: 0.419168 loss: 1.844372 eta: 1:51:55 batch_cost: 0.8417 data_cost: 0.0971 ips: 66.5358 images/s [03/19 09:01:53] ppdet.engine INFO: Epoch: [286] [120/523] learning_rate: 0.001459 loss_vfl: 1.043989 loss_bbox: 0.462631 loss_dfl: 0.436886 loss: 1.936260 eta: 1:51:36 batch_cost: 1.0173 data_cost: 0.2918 ips: 55.0475 images/s [03/19 09:02:18] ppdet.engine INFO: Epoch: [286] [140/523] learning_rate: 0.001451 loss_vfl: 0.927347 loss_bbox: 0.432774 loss_dfl: 0.408041 loss: 1.786845 eta: 1:51:18 batch_cost: 1.1013 data_cost: 0.3279 ips: 50.8475 images/s [03/19 09:02:36] ppdet.engine INFO: Epoch: [286] 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0.435722 loss: 1.886901 eta: 1:49:44 batch_cost: 0.9178 data_cost: 0.2089 ips: 61.0167 images/s [03/19 09:04:24] ppdet.engine INFO: Epoch: [286] [260/523] learning_rate: 0.001403 loss_vfl: 0.977457 loss_bbox: 0.432374 loss_dfl: 0.412444 loss: 1.834979 eta: 1:49:26 batch_cost: 1.0737 data_cost: 0.4321 ips: 52.1546 images/s [03/19 09:04:46] ppdet.engine INFO: Epoch: [286] [280/523] learning_rate: 0.001395 loss_vfl: 0.971265 loss_bbox: 0.451023 loss_dfl: 0.430458 loss: 1.858374 eta: 1:49:07 batch_cost: 0.9369 data_cost: 0.3726 ips: 59.7737 images/s [03/19 09:05:09] ppdet.engine INFO: Epoch: [286] [300/523] learning_rate: 0.001387 loss_vfl: 1.000743 loss_bbox: 0.435581 loss_dfl: 0.420314 loss: 1.808040 eta: 1:48:49 batch_cost: 0.9912 data_cost: 0.3005 ips: 56.4966 images/s [03/19 09:05:31] ppdet.engine INFO: Epoch: [286] [320/523] learning_rate: 0.001379 loss_vfl: 0.985342 loss_bbox: 0.434871 loss_dfl: 0.405982 loss: 1.780609 eta: 1:48:30 batch_cost: 0.9067 data_cost: 0.1983 ips: 61.7634 images/s [03/19 09:05:51] ppdet.engine INFO: Epoch: [286] [340/523] learning_rate: 0.001371 loss_vfl: 1.030406 loss_bbox: 0.441226 loss_dfl: 0.423431 loss: 1.892047 eta: 1:48:11 batch_cost: 0.7871 data_cost: 0.1323 ips: 71.1449 images/s [03/19 09:06:13] ppdet.engine INFO: Epoch: [286] [360/523] learning_rate: 0.001363 loss_vfl: 0.951424 loss_bbox: 0.429345 loss_dfl: 0.402378 loss: 1.749933 eta: 1:47:53 batch_cost: 0.9816 data_cost: 0.2045 ips: 57.0476 images/s [03/19 09:06:36] ppdet.engine INFO: Epoch: [286] [380/523] learning_rate: 0.001355 loss_vfl: 0.979811 loss_bbox: 0.437635 loss_dfl: 0.415836 loss: 1.833312 eta: 1:47:34 batch_cost: 0.9240 data_cost: 0.1723 ips: 60.6045 images/s [03/19 09:06:58] ppdet.engine INFO: Epoch: [286] [400/523] learning_rate: 0.001348 loss_vfl: 1.024443 loss_bbox: 0.436417 loss_dfl: 0.419285 loss: 1.877007 eta: 1:47:16 batch_cost: 0.9016 data_cost: 0.1303 ips: 62.1116 images/s [03/19 09:07:18] ppdet.engine INFO: Epoch: [286] [420/523] learning_rate: 0.001340 loss_vfl: 0.958105 loss_bbox: 0.425747 loss_dfl: 0.408762 loss: 1.797664 eta: 1:46:57 batch_cost: 0.8633 data_cost: 0.1910 ips: 64.8658 images/s [03/19 09:07:35] ppdet.engine INFO: Epoch: [286] [440/523] learning_rate: 0.001332 loss_vfl: 0.967929 loss_bbox: 0.416487 loss_dfl: 0.407893 loss: 1.775531 eta: 1:46:38 batch_cost: 0.6200 data_cost: 0.0012 ips: 90.3200 images/s [03/19 09:07:58] ppdet.engine INFO: Epoch: [286] [460/523] learning_rate: 0.001324 loss_vfl: 0.958638 loss_bbox: 0.454504 loss_dfl: 0.423653 loss: 1.811590 eta: 1:46:20 batch_cost: 1.0261 data_cost: 0.1759 ips: 54.5741 images/s [03/19 09:08:19] ppdet.engine INFO: Epoch: [286] [480/523] learning_rate: 0.001317 loss_vfl: 1.002536 loss_bbox: 0.453964 loss_dfl: 0.419673 loss: 1.868468 eta: 1:46:01 batch_cost: 0.8317 data_cost: 0.0841 ips: 67.3324 images/s [03/19 09:08:40] ppdet.engine INFO: Epoch: [286] [500/523] learning_rate: 0.001309 loss_vfl: 0.968521 loss_bbox: 0.432024 loss_dfl: 0.419168 loss: 1.836550 eta: 1:45:42 batch_cost: 0.9363 data_cost: 0.3247 ips: 59.8077 images/s [03/19 09:09:01] ppdet.engine INFO: Epoch: [286] [520/523] learning_rate: 0.001301 loss_vfl: 0.981825 loss_bbox: 0.433830 loss_dfl: 0.399567 loss: 1.794697 eta: 1:45:24 batch_cost: 0.8326 data_cost: 0.2735 ips: 67.2622 images/s [03/19 09:09:13] ppdet.engine INFO: Epoch: [287] [ 0/523] learning_rate: 0.001300 loss_vfl: 0.958505 loss_bbox: 0.423491 loss_dfl: 0.399360 loss: 1.762376 eta: 1:45:21 batch_cost: 1.1824 data_cost: 0.5164 ips: 47.3628 images/s [03/19 09:09:35] ppdet.engine INFO: Epoch: [287] [ 20/523] learning_rate: 0.001293 loss_vfl: 0.987488 loss_bbox: 0.456602 loss_dfl: 0.419855 loss: 1.860301 eta: 1:45:03 batch_cost: 0.9008 data_cost: 0.0034 ips: 62.1664 images/s [03/19 09:09:56] ppdet.engine INFO: Epoch: [287] [ 40/523] learning_rate: 0.001285 loss_vfl: 0.985480 loss_bbox: 0.426457 loss_dfl: 0.411896 loss: 1.836488 eta: 1:44:44 batch_cost: 0.8671 data_cost: 0.0541 ips: 64.5868 images/s [03/19 09:10:19] ppdet.engine INFO: Epoch: [287] [ 60/523] learning_rate: 0.001277 loss_vfl: 1.010739 loss_bbox: 0.455348 loss_dfl: 0.435119 loss: 1.937453 eta: 1:44:25 batch_cost: 0.9789 data_cost: 0.0025 ips: 57.2044 images/s [03/19 09:10:41] ppdet.engine INFO: Epoch: [287] [ 80/523] learning_rate: 0.001270 loss_vfl: 1.031587 loss_bbox: 0.455388 loss_dfl: 0.432195 loss: 1.909100 eta: 1:44:07 batch_cost: 0.8798 data_cost: 0.0945 ips: 63.6531 images/s [03/19 09:11:05] ppdet.engine INFO: Epoch: [287] [100/523] learning_rate: 0.001262 loss_vfl: 1.005193 loss_bbox: 0.420686 loss_dfl: 0.424505 loss: 1.871191 eta: 1:43:48 batch_cost: 1.0751 data_cost: 0.0017 ips: 52.0893 images/s [03/19 09:11:26] ppdet.engine INFO: Epoch: [287] [120/523] learning_rate: 0.001255 loss_vfl: 0.973757 loss_bbox: 0.418246 loss_dfl: 0.418459 loss: 1.804100 eta: 1:43:30 batch_cost: 0.8866 data_cost: 0.0011 ips: 63.1606 images/s [03/19 09:11:46] ppdet.engine INFO: Epoch: [287] [140/523] learning_rate: 0.001247 loss_vfl: 0.949059 loss_bbox: 0.437645 loss_dfl: 0.411634 loss: 1.807884 eta: 1:43:11 batch_cost: 0.8510 data_cost: 0.0062 ips: 65.8075 images/s [03/19 09:12:05] ppdet.engine INFO: Epoch: [287] [160/523] learning_rate: 0.001240 loss_vfl: 0.947503 loss_bbox: 0.432622 loss_dfl: 0.409046 loss: 1.798999 eta: 1:42:52 batch_cost: 0.7982 data_cost: 0.0015 ips: 70.1537 images/s [03/19 09:12:23] ppdet.engine INFO: Epoch: [287] [180/523] learning_rate: 0.001232 loss_vfl: 1.026388 loss_bbox: 0.456277 loss_dfl: 0.431556 loss: 1.944882 eta: 1:42:34 batch_cost: 0.7179 data_cost: 0.0010 ips: 78.0006 images/s [03/19 09:12:46] ppdet.engine INFO: Epoch: [287] [200/523] learning_rate: 0.001225 loss_vfl: 1.015660 loss_bbox: 0.452441 loss_dfl: 0.435685 loss: 1.924141 eta: 1:42:15 batch_cost: 0.9020 data_cost: 0.0270 ips: 62.0867 images/s [03/19 09:13:08] ppdet.engine INFO: Epoch: [287] [220/523] learning_rate: 0.001218 loss_vfl: 1.006824 loss_bbox: 0.450992 loss_dfl: 0.422100 loss: 1.892322 eta: 1:41:56 batch_cost: 0.9972 data_cost: 0.2532 ips: 56.1585 images/s [03/19 09:13:31] ppdet.engine INFO: Epoch: [287] [240/523] learning_rate: 0.001210 loss_vfl: 0.940684 loss_bbox: 0.431474 loss_dfl: 0.411663 loss: 1.780710 eta: 1:41:38 batch_cost: 1.0268 data_cost: 0.3749 ips: 54.5380 images/s [03/19 09:13:52] ppdet.engine INFO: Epoch: [287] [260/523] learning_rate: 0.001203 loss_vfl: 0.984406 loss_bbox: 0.429635 loss_dfl: 0.413011 loss: 1.840271 eta: 1:41:19 batch_cost: 0.8790 data_cost: 0.1589 ips: 63.7107 images/s [03/19 09:14:15] ppdet.engine INFO: Epoch: [287] [280/523] learning_rate: 0.001196 loss_vfl: 0.991704 loss_bbox: 0.436049 loss_dfl: 0.418727 loss: 1.854053 eta: 1:41:01 batch_cost: 1.0046 data_cost: 0.2215 ips: 55.7450 images/s [03/19 09:14:36] ppdet.engine INFO: Epoch: [287] [300/523] learning_rate: 0.001188 loss_vfl: 0.975237 loss_bbox: 0.436801 loss_dfl: 0.412210 loss: 1.826679 eta: 1:40:42 batch_cost: 0.9108 data_cost: 0.1871 ips: 61.4866 images/s [03/19 09:14:57] ppdet.engine INFO: Epoch: [287] 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0.410121 loss: 1.790120 eta: 1:39:09 batch_cost: 0.8829 data_cost: 0.0032 ips: 63.4281 images/s [03/19 09:16:41] ppdet.engine INFO: Epoch: [287] [420/523] learning_rate: 0.001145 loss_vfl: 0.959304 loss_bbox: 0.424274 loss_dfl: 0.428238 loss: 1.801119 eta: 1:38:50 batch_cost: 0.7700 data_cost: 0.0919 ips: 72.7300 images/s [03/19 09:17:00] ppdet.engine INFO: Epoch: [287] [440/523] learning_rate: 0.001138 loss_vfl: 0.967854 loss_bbox: 0.437855 loss_dfl: 0.419747 loss: 1.827653 eta: 1:38:32 batch_cost: 0.8083 data_cost: 0.1217 ips: 69.2849 images/s [03/19 09:17:21] ppdet.engine INFO: Epoch: [287] [460/523] learning_rate: 0.001130 loss_vfl: 0.967872 loss_bbox: 0.433211 loss_dfl: 0.426077 loss: 1.831625 eta: 1:38:13 batch_cost: 0.8615 data_cost: 0.0043 ips: 65.0032 images/s [03/19 09:17:44] ppdet.engine INFO: Epoch: [287] [480/523] learning_rate: 0.001123 loss_vfl: 0.974289 loss_bbox: 0.423365 loss_dfl: 0.409306 loss: 1.819190 eta: 1:37:55 batch_cost: 1.0936 data_cost: 0.0012 ips: 51.2055 images/s [03/19 09:18:06] ppdet.engine INFO: Epoch: [287] [500/523] learning_rate: 0.001116 loss_vfl: 0.941075 loss_bbox: 0.419901 loss_dfl: 0.405412 loss: 1.773307 eta: 1:37:36 batch_cost: 0.8483 data_cost: 0.0464 ips: 66.0123 images/s [03/19 09:18:25] ppdet.engine INFO: Epoch: [287] [520/523] learning_rate: 0.001109 loss_vfl: 0.953664 loss_bbox: 0.408094 loss_dfl: 0.391640 loss: 1.748173 eta: 1:37:17 batch_cost: 0.8658 data_cost: 0.1892 ips: 64.6771 images/s [03/19 09:18:38] ppdet.engine INFO: Epoch: [288] [ 0/523] learning_rate: 0.001108 loss_vfl: 0.953664 loss_bbox: 0.408094 loss_dfl: 0.391640 loss: 1.748173 eta: 1:37:15 batch_cost: 1.3100 data_cost: 0.6408 ips: 42.7466 images/s [03/19 09:18:59] ppdet.engine INFO: Epoch: [288] [ 20/523] learning_rate: 0.001101 loss_vfl: 0.950304 loss_bbox: 0.426242 loss_dfl: 0.408815 loss: 1.807146 eta: 1:36:56 batch_cost: 0.7520 data_cost: 0.0031 ips: 74.4658 images/s [03/19 09:19:23] ppdet.engine INFO: Epoch: [288] [ 40/523] learning_rate: 0.001094 loss_vfl: 0.957508 loss_bbox: 0.409273 loss_dfl: 0.415148 loss: 1.795008 eta: 1:36:38 batch_cost: 1.0265 data_cost: 0.2653 ips: 54.5549 images/s [03/19 09:19:45] ppdet.engine INFO: Epoch: [288] [ 60/523] learning_rate: 0.001087 loss_vfl: 0.985813 loss_bbox: 0.430677 loss_dfl: 0.415555 loss: 1.850103 eta: 1:36:19 batch_cost: 0.9418 data_cost: 0.1965 ips: 59.4576 images/s [03/19 09:20:09] ppdet.engine INFO: Epoch: [288] [ 80/523] learning_rate: 0.001080 loss_vfl: 0.936053 loss_bbox: 0.414773 loss_dfl: 0.401552 loss: 1.767592 eta: 1:36:00 batch_cost: 1.0101 data_cost: 0.4130 ips: 55.4397 images/s [03/19 09:20:31] ppdet.engine INFO: Epoch: [288] [100/523] learning_rate: 0.001073 loss_vfl: 0.988320 loss_bbox: 0.450539 loss_dfl: 0.421179 loss: 1.850344 eta: 1:35:42 batch_cost: 1.0162 data_cost: 0.2727 ips: 55.1060 images/s [03/19 09:20:51] ppdet.engine INFO: Epoch: [288] [120/523] learning_rate: 0.001066 loss_vfl: 0.970394 loss_bbox: 0.431584 loss_dfl: 0.425099 loss: 1.835859 eta: 1:35:23 batch_cost: 0.8285 data_cost: 0.1004 ips: 67.5906 images/s [03/19 09:21:14] ppdet.engine INFO: Epoch: [288] [140/523] learning_rate: 0.001059 loss_vfl: 0.931955 loss_bbox: 0.428773 loss_dfl: 0.400408 loss: 1.750023 eta: 1:35:05 batch_cost: 0.9518 data_cost: 0.2183 ips: 58.8337 images/s [03/19 09:21:30] ppdet.engine INFO: Epoch: [288] [160/523] learning_rate: 0.001052 loss_vfl: 0.936995 loss_bbox: 0.407860 loss_dfl: 0.399657 loss: 1.730281 eta: 1:34:46 batch_cost: 0.6933 data_cost: 0.0045 ips: 80.7712 images/s [03/19 09:21:49] ppdet.engine INFO: Epoch: [288] [180/523] learning_rate: 0.001046 loss_vfl: 0.967160 loss_bbox: 0.436957 loss_dfl: 0.413589 loss: 1.837929 eta: 1:34:27 batch_cost: 0.7505 data_cost: 0.0639 ips: 74.6169 images/s [03/19 09:22:13] ppdet.engine INFO: Epoch: [288] [200/523] learning_rate: 0.001039 loss_vfl: 0.986223 loss_bbox: 0.431072 loss_dfl: 0.410675 loss: 1.850522 eta: 1:34:09 batch_cost: 1.0787 data_cost: 0.1404 ips: 51.9137 images/s [03/19 09:22:36] ppdet.engine INFO: Epoch: [288] [220/523] learning_rate: 0.001032 loss_vfl: 0.921133 loss_bbox: 0.405568 loss_dfl: 0.394562 loss: 1.718860 eta: 1:33:50 batch_cost: 0.9398 data_cost: 0.1467 ips: 59.5859 images/s [03/19 09:22:59] ppdet.engine INFO: Epoch: [288] [240/523] learning_rate: 0.001025 loss_vfl: 0.960854 loss_bbox: 0.417869 loss_dfl: 0.389460 loss: 1.767050 eta: 1:33:32 batch_cost: 0.9755 data_cost: 0.2243 ips: 57.4041 images/s [03/19 09:23:20] ppdet.engine INFO: Epoch: [288] [260/523] learning_rate: 0.001018 loss_vfl: 0.983631 loss_bbox: 0.434080 loss_dfl: 0.423434 loss: 1.856907 eta: 1:33:13 batch_cost: 0.9530 data_cost: 0.2265 ips: 58.7601 images/s [03/19 09:23:42] ppdet.engine INFO: Epoch: [288] [280/523] learning_rate: 0.001012 loss_vfl: 0.960200 loss_bbox: 0.434140 loss_dfl: 0.410294 loss: 1.794420 eta: 1:32:54 batch_cost: 0.9803 data_cost: 0.3155 ips: 57.1252 images/s [03/19 09:24:05] ppdet.engine INFO: Epoch: [288] [300/523] learning_rate: 0.001005 loss_vfl: 0.963214 loss_bbox: 0.436244 loss_dfl: 0.414157 loss: 1.817607 eta: 1:32:36 batch_cost: 0.9528 data_cost: 0.1453 ips: 58.7753 images/s [03/19 09:24:26] ppdet.engine INFO: Epoch: [288] [320/523] learning_rate: 0.000998 loss_vfl: 0.935928 loss_bbox: 0.401972 loss_dfl: 0.383570 loss: 1.714588 eta: 1:32:17 batch_cost: 0.8849 data_cost: 0.2204 ips: 63.2845 images/s [03/19 09:24:48] ppdet.engine INFO: Epoch: [288] [340/523] learning_rate: 0.000991 loss_vfl: 0.989090 loss_bbox: 0.433776 loss_dfl: 0.409131 loss: 1.836125 eta: 1:31:59 batch_cost: 0.9494 data_cost: 0.0104 ips: 58.9858 images/s [03/19 09:25:11] ppdet.engine INFO: Epoch: [288] [360/523] learning_rate: 0.000985 loss_vfl: 0.967534 loss_bbox: 0.422016 loss_dfl: 0.410824 loss: 1.805320 eta: 1:31:40 batch_cost: 1.0074 data_cost: 0.2357 ips: 55.5871 images/s [03/19 09:25:33] ppdet.engine INFO: Epoch: [288] [380/523] learning_rate: 0.000978 loss_vfl: 0.903903 loss_bbox: 0.399787 loss_dfl: 0.394444 loss: 1.669301 eta: 1:31:22 batch_cost: 1.0163 data_cost: 0.2675 ips: 55.1027 images/s [03/19 09:25:52] ppdet.engine INFO: Epoch: [288] [400/523] learning_rate: 0.000972 loss_vfl: 0.951512 loss_bbox: 0.424669 loss_dfl: 0.408738 loss: 1.805022 eta: 1:31:03 batch_cost: 0.8268 data_cost: 0.1571 ips: 67.7304 images/s [03/19 09:26:10] ppdet.engine INFO: Epoch: [288] [420/523] learning_rate: 0.000965 loss_vfl: 0.934322 loss_bbox: 0.407737 loss_dfl: 0.387837 loss: 1.735075 eta: 1:30:44 batch_cost: 0.7369 data_cost: 0.0023 ips: 75.9979 images/s [03/19 09:26:30] ppdet.engine INFO: Epoch: [288] [440/523] learning_rate: 0.000958 loss_vfl: 1.019407 loss_bbox: 0.451776 loss_dfl: 0.425188 loss: 1.904513 eta: 1:30:25 batch_cost: 0.8077 data_cost: 0.0018 ips: 69.3309 images/s [03/19 09:26:52] ppdet.engine INFO: Epoch: [288] [460/523] learning_rate: 0.000952 loss_vfl: 0.976132 loss_bbox: 0.468843 loss_dfl: 0.434885 loss: 1.877459 eta: 1:30:07 batch_cost: 0.9096 data_cost: 0.2599 ips: 61.5667 images/s [03/19 09:27:14] ppdet.engine INFO: Epoch: [288] [480/523] learning_rate: 0.000945 loss_vfl: 0.968506 loss_bbox: 0.434568 loss_dfl: 0.412802 loss: 1.801406 eta: 1:29:48 batch_cost: 0.9491 data_cost: 0.2174 ips: 59.0028 images/s [03/19 09:27:38] ppdet.engine INFO: Epoch: [288] [500/523] learning_rate: 0.000939 loss_vfl: 0.930071 loss_bbox: 0.412985 loss_dfl: 0.396391 loss: 1.733934 eta: 1:29:30 batch_cost: 1.0012 data_cost: 0.3545 ips: 55.9337 images/s [03/19 09:27:55] ppdet.engine INFO: Epoch: [288] [520/523] learning_rate: 0.000932 loss_vfl: 0.934030 loss_bbox: 0.403379 loss_dfl: 0.395937 loss: 1.746112 eta: 1:29:11 batch_cost: 0.7473 data_cost: 0.1418 ips: 74.9349 images/s [03/19 09:28:08] ppdet.engine INFO: Epoch: [289] [ 0/523] learning_rate: 0.000931 loss_vfl: 0.926196 loss_bbox: 0.413406 loss_dfl: 0.397433 loss: 1.754863 eta: 1:29:09 batch_cost: 1.2419 data_cost: 0.6784 ips: 45.0930 images/s [03/19 09:28:29] ppdet.engine INFO: Epoch: [289] [ 20/523] learning_rate: 0.000925 loss_vfl: 0.977387 loss_bbox: 0.439995 loss_dfl: 0.416869 loss: 1.841430 eta: 1:28:50 batch_cost: 0.8644 data_cost: 0.0864 ips: 64.7815 images/s [03/19 09:28:52] ppdet.engine INFO: Epoch: [289] [ 40/523] learning_rate: 0.000918 loss_vfl: 0.954663 loss_bbox: 0.434846 loss_dfl: 0.416527 loss: 1.789031 eta: 1:28:31 batch_cost: 0.9687 data_cost: 0.2675 ips: 57.8124 images/s [03/19 09:29:16] ppdet.engine INFO: Epoch: [289] [ 60/523] learning_rate: 0.000912 loss_vfl: 0.964855 loss_bbox: 0.408882 loss_dfl: 0.414571 loss: 1.830642 eta: 1:28:13 batch_cost: 1.0230 data_cost: 0.0827 ips: 54.7388 images/s [03/19 09:29:39] ppdet.engine INFO: Epoch: [289] [ 80/523] learning_rate: 0.000906 loss_vfl: 0.995314 loss_bbox: 0.465105 loss_dfl: 0.435445 loss: 1.893299 eta: 1:27:54 batch_cost: 0.9468 data_cost: 0.2062 ips: 59.1484 images/s [03/19 09:30:00] ppdet.engine INFO: Epoch: [289] [100/523] learning_rate: 0.000899 loss_vfl: 0.974218 loss_bbox: 0.424234 loss_dfl: 0.417286 loss: 1.819489 eta: 1:27:36 batch_cost: 0.9150 data_cost: 0.2223 ips: 61.2004 images/s [03/19 09:30:21] ppdet.engine INFO: Epoch: [289] [120/523] learning_rate: 0.000893 loss_vfl: 0.946398 loss_bbox: 0.434604 loss_dfl: 0.405149 loss: 1.780764 eta: 1:27:17 batch_cost: 0.8593 data_cost: 0.1717 ips: 65.1728 images/s [03/19 09:30:39] ppdet.engine INFO: Epoch: [289] [140/523] learning_rate: 0.000887 loss_vfl: 0.935337 loss_bbox: 0.407708 loss_dfl: 0.401135 loss: 1.771657 eta: 1:26:58 batch_cost: 0.7777 data_cost: 0.1199 ips: 72.0052 images/s [03/19 09:30:59] ppdet.engine INFO: Epoch: [289] [160/523] learning_rate: 0.000880 loss_vfl: 0.990540 loss_bbox: 0.439078 loss_dfl: 0.413337 loss: 1.849057 eta: 1:26:40 batch_cost: 0.7802 data_cost: 0.0082 ips: 71.7788 images/s [03/19 09:31:20] ppdet.engine INFO: Epoch: [289] [180/523] learning_rate: 0.000874 loss_vfl: 1.006015 loss_bbox: 0.450912 loss_dfl: 0.438117 loss: 1.912231 eta: 1:26:21 batch_cost: 0.9515 data_cost: 0.2449 ips: 58.8525 images/s [03/19 09:31:42] ppdet.engine INFO: Epoch: [289] [200/523] learning_rate: 0.000868 loss_vfl: 0.963975 loss_bbox: 0.416941 loss_dfl: 0.415486 loss: 1.798501 eta: 1:26:02 batch_cost: 0.9127 data_cost: 0.2575 ips: 61.3540 images/s [03/19 09:32:05] ppdet.engine INFO: Epoch: [289] [220/523] learning_rate: 0.000862 loss_vfl: 0.960669 loss_bbox: 0.429354 loss_dfl: 0.417046 loss: 1.802405 eta: 1:25:44 batch_cost: 0.9845 data_cost: 0.3975 ips: 56.8794 images/s [03/19 09:32:27] ppdet.engine INFO: Epoch: [289] [240/523] learning_rate: 0.000855 loss_vfl: 0.911584 loss_bbox: 0.415943 loss_dfl: 0.395617 loss: 1.733178 eta: 1:25:25 batch_cost: 0.9155 data_cost: 0.3122 ips: 61.1716 images/s [03/19 09:32:49] ppdet.engine INFO: Epoch: [289] [260/523] learning_rate: 0.000849 loss_vfl: 0.999000 loss_bbox: 0.433152 loss_dfl: 0.409712 loss: 1.836657 eta: 1:25:07 batch_cost: 0.9509 data_cost: 0.3146 ips: 58.8922 images/s [03/19 09:33:12] ppdet.engine INFO: Epoch: [289] [280/523] learning_rate: 0.000843 loss_vfl: 1.013397 loss_bbox: 0.424402 loss_dfl: 0.418138 loss: 1.831615 eta: 1:24:48 batch_cost: 0.9608 data_cost: 0.3529 ips: 58.2817 images/s [03/19 09:33:34] ppdet.engine INFO: Epoch: [289] [300/523] learning_rate: 0.000837 loss_vfl: 0.978655 loss_bbox: 0.439882 loss_dfl: 0.410839 loss: 1.824831 eta: 1:24:30 batch_cost: 0.9524 data_cost: 0.2065 ips: 58.7991 images/s [03/19 09:33:55] ppdet.engine INFO: Epoch: [289] [320/523] learning_rate: 0.000831 loss_vfl: 0.941171 loss_bbox: 0.414510 loss_dfl: 0.399103 loss: 1.754948 eta: 1:24:11 batch_cost: 0.8855 data_cost: 0.1931 ips: 63.2424 images/s [03/19 09:34:17] ppdet.engine INFO: Epoch: [289] [340/523] learning_rate: 0.000825 loss_vfl: 0.976773 loss_bbox: 0.440774 loss_dfl: 0.431074 loss: 1.875169 eta: 1:23:52 batch_cost: 0.9351 data_cost: 0.1960 ips: 59.8836 images/s [03/19 09:34:40] ppdet.engine INFO: Epoch: [289] [360/523] learning_rate: 0.000819 loss_vfl: 0.913402 loss_bbox: 0.409075 loss_dfl: 0.394511 loss: 1.731762 eta: 1:23:34 batch_cost: 0.9681 data_cost: 0.2696 ips: 57.8464 images/s [03/19 09:34:59] ppdet.engine INFO: Epoch: [289] [380/523] learning_rate: 0.000813 loss_vfl: 0.987950 loss_bbox: 0.423111 loss_dfl: 0.412652 loss: 1.821467 eta: 1:23:15 batch_cost: 0.8284 data_cost: 0.1218 ips: 67.5987 images/s [03/19 09:35:18] ppdet.engine INFO: Epoch: [289] [400/523] learning_rate: 0.000806 loss_vfl: 1.037871 loss_bbox: 0.475805 loss_dfl: 0.457227 loss: 1.969274 eta: 1:22:56 batch_cost: 0.8616 data_cost: 0.0968 ips: 64.9923 images/s [03/19 09:35:37] ppdet.engine INFO: Epoch: [289] [420/523] learning_rate: 0.000800 loss_vfl: 1.003289 loss_bbox: 0.449104 loss_dfl: 0.422696 loss: 1.886038 eta: 1:22:38 batch_cost: 0.8090 data_cost: 0.0702 ips: 69.2235 images/s [03/19 09:35:59] ppdet.engine INFO: Epoch: [289] [440/523] learning_rate: 0.000794 loss_vfl: 0.986442 loss_bbox: 0.442550 loss_dfl: 0.416680 loss: 1.848427 eta: 1:22:19 batch_cost: 0.9542 data_cost: 0.2149 ips: 58.6896 images/s [03/19 09:36:22] ppdet.engine INFO: Epoch: [289] [460/523] learning_rate: 0.000789 loss_vfl: 0.921379 loss_bbox: 0.410260 loss_dfl: 0.393459 loss: 1.713053 eta: 1:22:01 batch_cost: 1.0054 data_cost: 0.3579 ips: 55.7016 images/s [03/19 09:36:43] ppdet.engine INFO: Epoch: [289] [480/523] learning_rate: 0.000783 loss_vfl: 0.984222 loss_bbox: 0.432547 loss_dfl: 0.424392 loss: 1.843194 eta: 1:21:42 batch_cost: 0.9336 data_cost: 0.2324 ips: 59.9839 images/s [03/19 09:37:08] ppdet.engine INFO: Epoch: [289] [500/523] learning_rate: 0.000777 loss_vfl: 0.947960 loss_bbox: 0.422871 loss_dfl: 0.403919 loss: 1.789939 eta: 1:21:24 batch_cost: 1.0913 data_cost: 0.3049 ips: 51.3144 images/s [03/19 09:37:24] ppdet.engine INFO: Epoch: [289] [520/523] learning_rate: 0.000771 loss_vfl: 1.025297 loss_bbox: 0.423768 loss_dfl: 0.421556 loss: 1.884685 eta: 1:21:05 batch_cost: 0.6992 data_cost: 0.0580 ips: 80.0946 images/s [03/19 09:37:26] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 09:37:26] ppdet.engine INFO: Eval iter: 0 [03/19 09:37:49] ppdet.engine INFO: Eval iter: 100 [03/19 09:37:59] ppdet.engine INFO: Eval iter: 200 [03/19 09:38:10] ppdet.engine INFO: Eval iter: 300 [03/19 09:38:20] ppdet.engine INFO: Eval iter: 400 [03/19 09:38:30] ppdet.engine INFO: Eval iter: 500 [03/19 09:38:40] ppdet.engine INFO: Eval iter: 600 [03/19 09:38:55] 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 09:38:55] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.97s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=83.72s). Accumulating evaluation results... DONE (t=16.52s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.262 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.393 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.278 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.085 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.440 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.257 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.411 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.439 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.164 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.487 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.690 [03/19 09:40:42] ppdet.engine INFO: Total sample number: 4952, averge FPS: 64.65879598068852 [03/19 09:40:42] ppdet.engine INFO: Best test bbox ap is 0.262. [03/19 09:40:43] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 09:40:43] ppdet.engine INFO: Epoch: [290] [ 0/523] learning_rate: 0.000770 loss_vfl: 1.015270 loss_bbox: 0.433436 loss_dfl: 0.427832 loss: 1.890320 eta: 1:21:02 batch_cost: 0.6476 data_cost: 0.0569 ips: 86.4758 images/s [03/19 09:41:00] ppdet.engine INFO: Epoch: [290] [ 20/523] learning_rate: 0.000764 loss_vfl: 0.983340 loss_bbox: 0.457229 loss_dfl: 0.422492 loss: 1.876045 eta: 1:20:43 batch_cost: 0.7172 data_cost: 0.0097 ips: 78.0867 images/s [03/19 09:41:25] ppdet.engine INFO: Epoch: [290] [ 40/523] learning_rate: 0.000758 loss_vfl: 1.029946 loss_bbox: 0.441783 loss_dfl: 0.434050 loss: 1.917774 eta: 1:20:25 batch_cost: 1.0562 data_cost: 0.0674 ips: 53.0193 images/s [03/19 09:41:48] ppdet.engine INFO: Epoch: [290] [ 60/523] learning_rate: 0.000752 loss_vfl: 0.951152 loss_bbox: 0.430217 loss_dfl: 0.408358 loss: 1.784819 eta: 1:20:06 batch_cost: 0.9838 data_cost: 0.0026 ips: 56.9247 images/s [03/19 09:42:08] ppdet.engine INFO: Epoch: [290] [ 80/523] learning_rate: 0.000747 loss_vfl: 1.000487 loss_bbox: 0.454019 loss_dfl: 0.424088 loss: 1.897537 eta: 1:19:47 batch_cost: 0.8438 data_cost: 0.0030 ips: 66.3657 images/s [03/19 09:42:33] ppdet.engine INFO: Epoch: [290] [100/523] learning_rate: 0.000741 loss_vfl: 1.024263 loss_bbox: 0.458988 loss_dfl: 0.430023 loss: 1.910527 eta: 1:19:29 batch_cost: 1.0853 data_cost: 0.0088 ips: 51.5982 images/s [03/19 09:42:55] ppdet.engine INFO: Epoch: [290] [120/523] learning_rate: 0.000735 loss_vfl: 0.981289 loss_bbox: 0.416620 loss_dfl: 0.403809 loss: 1.805816 eta: 1:19:10 batch_cost: 0.9537 data_cost: 0.0018 ips: 58.7211 images/s [03/19 09:43:19] ppdet.engine INFO: Epoch: [290] [140/523] learning_rate: 0.000729 loss_vfl: 0.966532 loss_bbox: 0.440452 loss_dfl: 0.410488 loss: 1.819139 eta: 1:18:52 batch_cost: 1.0231 data_cost: 0.1394 ips: 54.7343 images/s [03/19 09:43:39] ppdet.engine INFO: Epoch: [290] [160/523] learning_rate: 0.000724 loss_vfl: 0.979393 loss_bbox: 0.446508 loss_dfl: 0.420293 loss: 1.846550 eta: 1:18:33 batch_cost: 0.8443 data_cost: 0.0544 ips: 66.3271 images/s [03/19 09:43:56] ppdet.engine INFO: Epoch: [290] [180/523] learning_rate: 0.000718 loss_vfl: 0.976698 loss_bbox: 0.416025 loss_dfl: 0.404932 loss: 1.806505 eta: 1:18:14 batch_cost: 0.7211 data_cost: 0.0654 ips: 77.6588 images/s [03/19 09:44:17] ppdet.engine INFO: Epoch: [290] [200/523] learning_rate: 0.000712 loss_vfl: 0.932802 loss_bbox: 0.417547 loss_dfl: 0.398178 loss: 1.755454 eta: 1:17:56 batch_cost: 0.9118 data_cost: 0.1865 ips: 61.4174 images/s [03/19 09:44:38] ppdet.engine INFO: Epoch: [290] [220/523] learning_rate: 0.000707 loss_vfl: 0.937536 loss_bbox: 0.411610 loss_dfl: 0.400047 loss: 1.731436 eta: 1:17:37 batch_cost: 0.9358 data_cost: 0.2335 ips: 59.8394 images/s [03/19 09:44:59] ppdet.engine INFO: Epoch: [290] [240/523] learning_rate: 0.000701 loss_vfl: 0.955550 loss_bbox: 0.409051 loss_dfl: 0.400584 loss: 1.760033 eta: 1:17:19 batch_cost: 0.8587 data_cost: 0.0846 ips: 65.2125 images/s [03/19 09:45:19] ppdet.engine INFO: Epoch: [290] [260/523] learning_rate: 0.000695 loss_vfl: 0.979218 loss_bbox: 0.423512 loss_dfl: 0.414602 loss: 1.817340 eta: 1:17:00 batch_cost: 0.8583 data_cost: 0.2084 ips: 65.2445 images/s [03/19 09:45:41] ppdet.engine INFO: Epoch: [290] [280/523] learning_rate: 0.000690 loss_vfl: 0.968393 loss_bbox: 0.438370 loss_dfl: 0.425251 loss: 1.838909 eta: 1:16:41 batch_cost: 0.9791 data_cost: 0.3393 ips: 57.1970 images/s [03/19 09:46:05] ppdet.engine INFO: Epoch: [290] [300/523] learning_rate: 0.000684 loss_vfl: 0.976417 loss_bbox: 0.443876 loss_dfl: 0.420723 loss: 1.844539 eta: 1:16:23 batch_cost: 1.0332 data_cost: 0.3400 ips: 54.1997 images/s [03/19 09:46:25] ppdet.engine INFO: Epoch: [290] [320/523] learning_rate: 0.000679 loss_vfl: 0.965028 loss_bbox: 0.438143 loss_dfl: 0.404133 loss: 1.812205 eta: 1:16:04 batch_cost: 0.7688 data_cost: 0.1242 ips: 72.8400 images/s [03/19 09:46:47] ppdet.engine INFO: Epoch: [290] [340/523] learning_rate: 0.000673 loss_vfl: 0.976469 loss_bbox: 0.434441 loss_dfl: 0.423993 loss: 1.838454 eta: 1:15:46 batch_cost: 0.9075 data_cost: 0.1706 ips: 61.7093 images/s [03/19 09:47:10] ppdet.engine INFO: Epoch: [290] [360/523] learning_rate: 0.000668 loss_vfl: 0.953101 loss_bbox: 0.416116 loss_dfl: 0.404374 loss: 1.780063 eta: 1:15:27 batch_cost: 1.0015 data_cost: 0.2985 ips: 55.9157 images/s [03/19 09:47:31] ppdet.engine INFO: Epoch: [290] [380/523] learning_rate: 0.000662 loss_vfl: 0.937307 loss_bbox: 0.410054 loss_dfl: 0.394362 loss: 1.753930 eta: 1:15:08 batch_cost: 0.9213 data_cost: 0.2901 ips: 60.7842 images/s [03/19 09:47:53] ppdet.engine INFO: Epoch: [290] [400/523] learning_rate: 0.000657 loss_vfl: 0.989016 loss_bbox: 0.437284 loss_dfl: 0.422936 loss: 1.849134 eta: 1:14:50 batch_cost: 0.9898 data_cost: 0.1850 ips: 56.5782 images/s [03/19 09:48:17] ppdet.engine INFO: Epoch: [290] [420/523] learning_rate: 0.000651 loss_vfl: 0.963090 loss_bbox: 0.435331 loss_dfl: 0.414934 loss: 1.800304 eta: 1:14:31 batch_cost: 1.0947 data_cost: 0.3836 ips: 51.1568 images/s [03/19 09:48:34] ppdet.engine INFO: Epoch: [290] [440/523] learning_rate: 0.000646 loss_vfl: 0.985105 loss_bbox: 0.429471 loss_dfl: 0.418488 loss: 1.823913 eta: 1:14:13 batch_cost: 0.6927 data_cost: 0.0046 ips: 80.8415 images/s [03/19 09:48:52] ppdet.engine INFO: Epoch: [290] [460/523] learning_rate: 0.000641 loss_vfl: 0.975866 loss_bbox: 0.439139 loss_dfl: 0.412116 loss: 1.810885 eta: 1:13:54 batch_cost: 0.7776 data_cost: 0.1194 ips: 72.0200 images/s [03/19 09:49:14] ppdet.engine INFO: Epoch: [290] [480/523] learning_rate: 0.000635 loss_vfl: 0.989639 loss_bbox: 0.464248 loss_dfl: 0.428835 loss: 1.893291 eta: 1:13:35 batch_cost: 0.9380 data_cost: 0.2239 ips: 59.6993 images/s [03/19 09:49:36] ppdet.engine INFO: Epoch: [290] [500/523] learning_rate: 0.000630 loss_vfl: 0.968344 loss_bbox: 0.423684 loss_dfl: 0.409659 loss: 1.794244 eta: 1:13:17 batch_cost: 0.9764 data_cost: 0.3439 ips: 57.3562 images/s [03/19 09:49:54] ppdet.engine INFO: Epoch: [290] [520/523] learning_rate: 0.000625 loss_vfl: 0.965559 loss_bbox: 0.434596 loss_dfl: 0.405210 loss: 1.799906 eta: 1:12:58 batch_cost: 0.8024 data_cost: 0.1772 ips: 69.7908 images/s [03/19 09:50:05] ppdet.engine INFO: Epoch: [291] [ 0/523] learning_rate: 0.000624 loss_vfl: 0.982443 loss_bbox: 0.442087 loss_dfl: 0.414393 loss: 1.840756 eta: 1:12:56 batch_cost: 1.1026 data_cost: 0.4704 ips: 50.7882 images/s [03/19 09:50:30] ppdet.engine INFO: Epoch: [291] [ 20/523] learning_rate: 0.000618 loss_vfl: 1.012130 loss_bbox: 0.450827 loss_dfl: 0.433963 loss: 1.914646 eta: 1:12:37 batch_cost: 1.0384 data_cost: 0.0029 ips: 53.9303 images/s [03/19 09:50:50] ppdet.engine INFO: Epoch: [291] [ 40/523] learning_rate: 0.000613 loss_vfl: 0.961214 loss_bbox: 0.438186 loss_dfl: 0.410320 loss: 1.811058 eta: 1:12:18 batch_cost: 0.8668 data_cost: 0.0067 ips: 64.6077 images/s [03/19 09:51:14] ppdet.engine INFO: Epoch: [291] [ 60/523] learning_rate: 0.000608 loss_vfl: 1.005166 loss_bbox: 0.458465 loss_dfl: 0.431462 loss: 1.906847 eta: 1:12:00 batch_cost: 1.0028 data_cost: 0.0830 ips: 55.8448 images/s [03/19 09:51:39] ppdet.engine INFO: Epoch: [291] [ 80/523] learning_rate: 0.000603 loss_vfl: 0.999954 loss_bbox: 0.443258 loss_dfl: 0.415945 loss: 1.863350 eta: 1:11:41 batch_cost: 1.0995 data_cost: 0.3048 ips: 50.9314 images/s [03/19 09:52:02] ppdet.engine INFO: Epoch: [291] [100/523] learning_rate: 0.000598 loss_vfl: 0.969736 loss_bbox: 0.437346 loss_dfl: 0.409942 loss: 1.798730 eta: 1:11:23 batch_cost: 0.9656 data_cost: 0.0929 ips: 57.9955 images/s [03/19 09:52:23] ppdet.engine INFO: Epoch: [291] [120/523] learning_rate: 0.000592 loss_vfl: 0.967037 loss_bbox: 0.456247 loss_dfl: 0.422953 loss: 1.856992 eta: 1:11:04 batch_cost: 0.8340 data_cost: 0.1859 ips: 67.1453 images/s [03/19 09:52:47] ppdet.engine INFO: Epoch: [291] [140/523] learning_rate: 0.000587 loss_vfl: 0.984002 loss_bbox: 0.434726 loss_dfl: 0.424705 loss: 1.860774 eta: 1:10:46 batch_cost: 1.0848 data_cost: 0.4660 ips: 51.6237 images/s [03/19 09:53:07] ppdet.engine INFO: Epoch: [291] [160/523] learning_rate: 0.000582 loss_vfl: 1.005196 loss_bbox: 0.432363 loss_dfl: 0.420743 loss: 1.864645 eta: 1:10:27 batch_cost: 0.8802 data_cost: 0.1472 ips: 63.6193 images/s [03/19 09:53:24] ppdet.engine INFO: Epoch: [291] [180/523] learning_rate: 0.000577 loss_vfl: 0.983505 loss_bbox: 0.433699 loss_dfl: 0.420628 loss: 1.850989 eta: 1:10:08 batch_cost: 0.6461 data_cost: 0.0050 ips: 86.6691 images/s [03/19 09:53:46] ppdet.engine INFO: Epoch: [291] [200/523] learning_rate: 0.000572 loss_vfl: 0.981361 loss_bbox: 0.431727 loss_dfl: 0.424263 loss: 1.830452 eta: 1:09:50 batch_cost: 0.9215 data_cost: 0.2274 ips: 60.7689 images/s [03/19 09:54:11] ppdet.engine INFO: Epoch: [291] [220/523] learning_rate: 0.000567 loss_vfl: 0.970314 loss_bbox: 0.420770 loss_dfl: 0.414138 loss: 1.798580 eta: 1:09:31 batch_cost: 1.0810 data_cost: 0.3292 ips: 51.8018 images/s [03/19 09:54:31] ppdet.engine INFO: Epoch: [291] [240/523] learning_rate: 0.000562 loss_vfl: 1.009580 loss_bbox: 0.451152 loss_dfl: 0.430756 loss: 1.898353 eta: 1:09:13 batch_cost: 0.8945 data_cost: 0.2230 ips: 62.6063 images/s [03/19 09:54:53] ppdet.engine INFO: Epoch: [291] [260/523] learning_rate: 0.000557 loss_vfl: 0.940374 loss_bbox: 0.444061 loss_dfl: 0.398253 loss: 1.777615 eta: 1:08:54 batch_cost: 0.9069 data_cost: 0.2245 ips: 61.7517 images/s [03/19 09:55:16] ppdet.engine INFO: Epoch: [291] [280/523] learning_rate: 0.000552 loss_vfl: 1.050936 loss_bbox: 0.455159 loss_dfl: 0.433287 loss: 1.932966 eta: 1:08:35 batch_cost: 1.0304 data_cost: 0.3288 ips: 54.3491 images/s [03/19 09:55:38] ppdet.engine INFO: Epoch: [291] [300/523] learning_rate: 0.000547 loss_vfl: 0.899859 loss_bbox: 0.387567 loss_dfl: 0.374201 loss: 1.641196 eta: 1:08:17 batch_cost: 0.8763 data_cost: 0.1454 ips: 63.9020 images/s [03/19 09:56:00] ppdet.engine INFO: Epoch: [291] [320/523] learning_rate: 0.000542 loss_vfl: 0.919483 loss_bbox: 0.425631 loss_dfl: 0.407362 loss: 1.745295 eta: 1:07:58 batch_cost: 0.9510 data_cost: 0.1240 ips: 58.8847 images/s [03/19 09:56:25] ppdet.engine INFO: Epoch: [291] [340/523] learning_rate: 0.000537 loss_vfl: 0.967781 loss_bbox: 0.439127 loss_dfl: 0.418891 loss: 1.826408 eta: 1:07:40 batch_cost: 1.1006 data_cost: 0.1892 ips: 50.8801 images/s [03/19 09:56:47] ppdet.engine INFO: Epoch: [291] [360/523] learning_rate: 0.000532 loss_vfl: 0.921309 loss_bbox: 0.416895 loss_dfl: 0.397709 loss: 1.737162 eta: 1:07:21 batch_cost: 0.9050 data_cost: 0.1425 ips: 61.8815 images/s [03/19 09:57:07] ppdet.engine INFO: Epoch: [291] [380/523] learning_rate: 0.000527 loss_vfl: 0.995838 loss_bbox: 0.438956 loss_dfl: 0.423173 loss: 1.854822 eta: 1:07:02 batch_cost: 0.8397 data_cost: 0.1220 ips: 66.6910 images/s [03/19 09:57:28] ppdet.engine INFO: Epoch: [291] [400/523] learning_rate: 0.000522 loss_vfl: 0.914072 loss_bbox: 0.413014 loss_dfl: 0.398059 loss: 1.720175 eta: 1:06:44 batch_cost: 0.8441 data_cost: 0.1498 ips: 66.3448 images/s [03/19 09:57:49] ppdet.engine INFO: Epoch: [291] [420/523] learning_rate: 0.000517 loss_vfl: 0.971114 loss_bbox: 0.424506 loss_dfl: 0.408837 loss: 1.835567 eta: 1:06:25 batch_cost: 0.9314 data_cost: 0.1686 ips: 60.1277 images/s [03/19 09:58:07] ppdet.engine INFO: Epoch: [291] [440/523] learning_rate: 0.000513 loss_vfl: 0.991829 loss_bbox: 0.431372 loss_dfl: 0.403675 loss: 1.792904 eta: 1:06:07 batch_cost: 0.7671 data_cost: 0.1425 ips: 72.9993 images/s [03/19 09:58:29] ppdet.engine INFO: Epoch: [291] [460/523] learning_rate: 0.000508 loss_vfl: 0.950624 loss_bbox: 0.416578 loss_dfl: 0.397166 loss: 1.752464 eta: 1:05:48 batch_cost: 1.0033 data_cost: 0.2395 ips: 55.8170 images/s [03/19 09:58:52] ppdet.engine INFO: Epoch: [291] [480/523] learning_rate: 0.000503 loss_vfl: 0.995968 loss_bbox: 0.447971 loss_dfl: 0.429326 loss: 1.867590 eta: 1:05:29 batch_cost: 0.9684 data_cost: 0.1864 ips: 57.8273 images/s [03/19 09:59:14] ppdet.engine INFO: Epoch: [291] [500/523] learning_rate: 0.000498 loss_vfl: 0.974810 loss_bbox: 0.440331 loss_dfl: 0.432329 loss: 1.855043 eta: 1:05:11 batch_cost: 0.9384 data_cost: 0.0706 ips: 59.6742 images/s [03/19 09:59:31] ppdet.engine INFO: Epoch: [291] [520/523] learning_rate: 0.000494 loss_vfl: 0.977126 loss_bbox: 0.445992 loss_dfl: 0.427917 loss: 1.874332 eta: 1:04:52 batch_cost: 0.7118 data_cost: 0.1149 ips: 78.6780 images/s [03/19 09:59:45] ppdet.engine INFO: Epoch: [292] [ 0/523] learning_rate: 0.000493 loss_vfl: 0.993849 loss_bbox: 0.453479 loss_dfl: 0.439709 loss: 1.915702 eta: 1:04:50 batch_cost: 1.2541 data_cost: 0.6226 ips: 44.6544 images/s [03/19 10:00:06] ppdet.engine INFO: Epoch: [292] [ 20/523] learning_rate: 0.000488 loss_vfl: 0.955039 loss_bbox: 0.415634 loss_dfl: 0.407245 loss: 1.788269 eta: 1:04:31 batch_cost: 0.9010 data_cost: 0.0062 ips: 62.1505 images/s [03/19 10:00:31] ppdet.engine INFO: Epoch: [292] [ 40/523] learning_rate: 0.000484 loss_vfl: 0.934245 loss_bbox: 0.403469 loss_dfl: 0.396243 loss: 1.705848 eta: 1:04:12 batch_cost: 1.0898 data_cost: 0.0029 ips: 51.3861 images/s [03/19 10:00:55] ppdet.engine INFO: Epoch: [292] [ 60/523] learning_rate: 0.000479 loss_vfl: 0.959890 loss_bbox: 0.432657 loss_dfl: 0.421476 loss: 1.838983 eta: 1:03:54 batch_cost: 1.0696 data_cost: 0.1509 ips: 52.3563 images/s [03/19 10:01:21] ppdet.engine INFO: Epoch: [292] [ 80/523] learning_rate: 0.000474 loss_vfl: 0.947940 loss_bbox: 0.444149 loss_dfl: 0.414102 loss: 1.828195 eta: 1:03:35 batch_cost: 1.1074 data_cost: 0.3978 ips: 50.5696 images/s [03/19 10:01:43] ppdet.engine INFO: Epoch: [292] [100/523] learning_rate: 0.000470 loss_vfl: 0.985054 loss_bbox: 0.456090 loss_dfl: 0.429930 loss: 1.868744 eta: 1:03:17 batch_cost: 0.9182 data_cost: 0.2619 ips: 60.9867 images/s [03/19 10:02:05] ppdet.engine INFO: Epoch: [292] [120/523] learning_rate: 0.000465 loss_vfl: 0.975467 loss_bbox: 0.436527 loss_dfl: 0.403641 loss: 1.813808 eta: 1:02:58 batch_cost: 0.9647 data_cost: 0.2985 ips: 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learning_rate: 0.000442 loss_vfl: 0.937646 loss_bbox: 0.441160 loss_dfl: 0.403416 loss: 1.766045 eta: 1:01:25 batch_cost: 0.9319 data_cost: 0.1189 ips: 60.0951 images/s [03/19 10:04:19] ppdet.engine INFO: Epoch: [292] [240/523] learning_rate: 0.000438 loss_vfl: 0.993939 loss_bbox: 0.448731 loss_dfl: 0.424997 loss: 1.857032 eta: 1:01:07 batch_cost: 1.0763 data_cost: 0.0772 ips: 52.0302 images/s [03/19 10:04:40] ppdet.engine INFO: Epoch: [292] [260/523] learning_rate: 0.000434 loss_vfl: 0.970742 loss_bbox: 0.436089 loss_dfl: 0.414791 loss: 1.823009 eta: 1:00:48 batch_cost: 0.9042 data_cost: 0.1156 ips: 61.9340 images/s [03/19 10:05:07] ppdet.engine INFO: Epoch: [292] [280/523] learning_rate: 0.000429 loss_vfl: 0.882148 loss_bbox: 0.395633 loss_dfl: 0.392114 loss: 1.672196 eta: 1:00:30 batch_cost: 1.2043 data_cost: 0.0030 ips: 46.5015 images/s [03/19 10:05:29] ppdet.engine INFO: Epoch: [292] [300/523] learning_rate: 0.000425 loss_vfl: 1.030486 loss_bbox: 0.455345 loss_dfl: 0.434191 loss: 1.902251 eta: 1:00:11 batch_cost: 0.9951 data_cost: 0.0082 ips: 56.2749 images/s [03/19 10:05:53] ppdet.engine INFO: Epoch: [292] [320/523] learning_rate: 0.000420 loss_vfl: 0.983500 loss_bbox: 0.427109 loss_dfl: 0.428910 loss: 1.840693 eta: 0:59:53 batch_cost: 0.9799 data_cost: 0.0027 ips: 57.1461 images/s [03/19 10:06:16] ppdet.engine INFO: Epoch: [292] [340/523] learning_rate: 0.000416 loss_vfl: 0.985007 loss_bbox: 0.442844 loss_dfl: 0.421102 loss: 1.831040 eta: 0:59:34 batch_cost: 0.9555 data_cost: 0.3421 ips: 58.6059 images/s [03/19 10:06:38] ppdet.engine INFO: Epoch: [292] [360/523] learning_rate: 0.000412 loss_vfl: 1.014877 loss_bbox: 0.468593 loss_dfl: 0.443847 loss: 1.930403 eta: 0:59:15 batch_cost: 0.9162 data_cost: 0.2319 ips: 61.1215 images/s [03/19 10:06:55] ppdet.engine INFO: Epoch: [292] [380/523] learning_rate: 0.000407 loss_vfl: 0.979414 loss_bbox: 0.473970 loss_dfl: 0.431664 loss: 1.930603 eta: 0:58:57 batch_cost: 0.7235 data_cost: 0.0025 ips: 77.3966 images/s [03/19 10:07:16] ppdet.engine INFO: Epoch: [292] [400/523] learning_rate: 0.000403 loss_vfl: 0.976300 loss_bbox: 0.411845 loss_dfl: 0.416934 loss: 1.794822 eta: 0:58:38 batch_cost: 0.9173 data_cost: 0.0419 ips: 61.0511 images/s [03/19 10:07:38] ppdet.engine INFO: Epoch: [292] [420/523] learning_rate: 0.000399 loss_vfl: 0.942566 loss_bbox: 0.433768 loss_dfl: 0.404630 loss: 1.763829 eta: 0:58:19 batch_cost: 0.8851 data_cost: 0.0026 ips: 63.2725 images/s [03/19 10:08:03] ppdet.engine INFO: Epoch: [292] [440/523] learning_rate: 0.000395 loss_vfl: 0.963175 loss_bbox: 0.416099 loss_dfl: 0.409489 loss: 1.791214 eta: 0:58:01 batch_cost: 1.0651 data_cost: 0.0433 ips: 52.5766 images/s [03/19 10:08:26] ppdet.engine INFO: Epoch: [292] [460/523] learning_rate: 0.000391 loss_vfl: 0.963997 loss_bbox: 0.428502 loss_dfl: 0.414874 loss: 1.817174 eta: 0:57:42 batch_cost: 0.9319 data_cost: 0.0061 ips: 60.0910 images/s [03/19 10:08:47] ppdet.engine INFO: Epoch: [292] [480/523] learning_rate: 0.000386 loss_vfl: 0.981420 loss_bbox: 0.435511 loss_dfl: 0.417551 loss: 1.858404 eta: 0:57:24 batch_cost: 0.8198 data_cost: 0.0053 ips: 68.3110 images/s [03/19 10:09:11] ppdet.engine INFO: Epoch: [292] [500/523] learning_rate: 0.000382 loss_vfl: 0.981267 loss_bbox: 0.444523 loss_dfl: 0.422184 loss: 1.848857 eta: 0:57:05 batch_cost: 0.9899 data_cost: 0.1753 ips: 56.5706 images/s [03/19 10:09:31] ppdet.engine INFO: Epoch: [292] [520/523] learning_rate: 0.000378 loss_vfl: 0.941194 loss_bbox: 0.418861 loss_dfl: 0.391015 loss: 1.733873 eta: 0:56:46 batch_cost: 0.8415 data_cost: 0.2711 ips: 66.5487 images/s [03/19 10:09:43] ppdet.engine INFO: Epoch: [293] [ 0/523] learning_rate: 0.000377 loss_vfl: 0.941194 loss_bbox: 0.403018 loss_dfl: 0.399023 loss: 1.734385 eta: 0:56:44 batch_cost: 1.2901 data_cost: 0.6475 ips: 43.4076 images/s [03/19 10:10:06] ppdet.engine INFO: Epoch: [293] [ 20/523] learning_rate: 0.000373 loss_vfl: 0.890481 loss_bbox: 0.377074 loss_dfl: 0.366144 loss: 1.620347 eta: 0:56:25 batch_cost: 0.9465 data_cost: 0.1075 ips: 59.1623 images/s [03/19 10:10:30] ppdet.engine INFO: Epoch: [293] [ 40/523] learning_rate: 0.000369 loss_vfl: 0.924028 loss_bbox: 0.391379 loss_dfl: 0.382290 loss: 1.692891 eta: 0:56:07 batch_cost: 1.0254 data_cost: 0.1337 ips: 54.6119 images/s [03/19 10:10:55] ppdet.engine INFO: Epoch: [293] [ 60/523] learning_rate: 0.000365 loss_vfl: 0.905619 loss_bbox: 0.411642 loss_dfl: 0.392602 loss: 1.702406 eta: 0:55:48 batch_cost: 1.0556 data_cost: 0.1392 ips: 53.0529 images/s [03/19 10:11:14] ppdet.engine INFO: Epoch: [293] [ 80/523] learning_rate: 0.000361 loss_vfl: 0.987525 loss_bbox: 0.443111 loss_dfl: 0.427869 loss: 1.870420 eta: 0:55:29 batch_cost: 0.7260 data_cost: 0.0232 ips: 77.1301 images/s [03/19 10:11:33] ppdet.engine INFO: Epoch: [293] [100/523] learning_rate: 0.000357 loss_vfl: 0.955245 loss_bbox: 0.424186 loss_dfl: 0.416512 loss: 1.812834 eta: 0:55:11 batch_cost: 0.8229 data_cost: 0.0045 ips: 68.0556 images/s [03/19 10:11:54] ppdet.engine INFO: Epoch: [293] [120/523] learning_rate: 0.000353 loss_vfl: 0.985597 loss_bbox: 0.428985 loss_dfl: 0.416545 loss: 1.841750 eta: 0:54:52 batch_cost: 0.7308 data_cost: 0.0414 ips: 76.6257 images/s [03/19 10:12:19] ppdet.engine INFO: Epoch: [293] [140/523] learning_rate: 0.000349 loss_vfl: 0.996101 loss_bbox: 0.454273 loss_dfl: 0.435471 loss: 1.892242 eta: 0:54:34 batch_cost: 1.1381 data_cost: 0.5575 ips: 49.2051 images/s [03/19 10:12:42] ppdet.engine INFO: Epoch: [293] [160/523] learning_rate: 0.000345 loss_vfl: 0.989610 loss_bbox: 0.428622 loss_dfl: 0.409817 loss: 1.831956 eta: 0:54:15 batch_cost: 1.0409 data_cost: 0.3688 ips: 53.8004 images/s [03/19 10:13:05] ppdet.engine INFO: Epoch: [293] [180/523] learning_rate: 0.000341 loss_vfl: 0.995646 loss_bbox: 0.440681 loss_dfl: 0.429759 loss: 1.861845 eta: 0:53:57 batch_cost: 1.0205 data_cost: 0.2576 ips: 54.8740 images/s [03/19 10:13:31] ppdet.engine INFO: Epoch: [293] [200/523] learning_rate: 0.000337 loss_vfl: 0.992841 loss_bbox: 0.460164 loss_dfl: 0.433144 loss: 1.917619 eta: 0:53:38 batch_cost: 1.0782 data_cost: 0.3861 ips: 51.9376 images/s [03/19 10:13:52] ppdet.engine INFO: Epoch: [293] [220/523] learning_rate: 0.000333 loss_vfl: 0.976656 loss_bbox: 0.426330 loss_dfl: 0.410192 loss: 1.812672 eta: 0:53:19 batch_cost: 0.9316 data_cost: 0.2552 ips: 60.1137 images/s [03/19 10:14:14] ppdet.engine INFO: Epoch: [293] [240/523] learning_rate: 0.000330 loss_vfl: 1.002007 loss_bbox: 0.444669 loss_dfl: 0.427882 loss: 1.874560 eta: 0:53:01 batch_cost: 1.0053 data_cost: 0.3117 ips: 55.7049 images/s [03/19 10:14:39] ppdet.engine INFO: Epoch: [293] [260/523] learning_rate: 0.000326 loss_vfl: 1.025842 loss_bbox: 0.449897 loss_dfl: 0.424889 loss: 1.866621 eta: 0:52:42 batch_cost: 0.9998 data_cost: 0.2982 ips: 56.0089 images/s [03/19 10:15:02] ppdet.engine INFO: Epoch: [293] [280/523] learning_rate: 0.000322 loss_vfl: 0.955768 loss_bbox: 0.444999 loss_dfl: 0.409499 loss: 1.774842 eta: 0:52:24 batch_cost: 0.9911 data_cost: 0.3432 ips: 56.5005 images/s [03/19 10:15:23] ppdet.engine INFO: Epoch: [293] [300/523] learning_rate: 0.000318 loss_vfl: 1.017628 loss_bbox: 0.426488 loss_dfl: 0.413689 loss: 1.844490 eta: 0:52:05 batch_cost: 0.9366 data_cost: 0.2807 ips: 59.7914 images/s [03/19 10:15:45] ppdet.engine INFO: Epoch: [293] [320/523] learning_rate: 0.000314 loss_vfl: 0.942232 loss_bbox: 0.419624 loss_dfl: 0.404086 loss: 1.769397 eta: 0:51:46 batch_cost: 0.8702 data_cost: 0.2585 ips: 64.3494 images/s [03/19 10:16:03] ppdet.engine INFO: Epoch: [293] [340/523] learning_rate: 0.000311 loss_vfl: 0.994114 loss_bbox: 0.457149 loss_dfl: 0.426875 loss: 1.881256 eta: 0:51:28 batch_cost: 0.7607 data_cost: 0.0394 ips: 73.6141 images/s [03/19 10:16:23] ppdet.engine INFO: Epoch: [293] [360/523] learning_rate: 0.000307 loss_vfl: 1.004349 loss_bbox: 0.437316 loss_dfl: 0.422338 loss: 1.856407 eta: 0:51:09 batch_cost: 0.7648 data_cost: 0.0087 ips: 73.2177 images/s [03/19 10:16:48] ppdet.engine INFO: Epoch: [293] [380/523] learning_rate: 0.000303 loss_vfl: 0.995686 loss_bbox: 0.424967 loss_dfl: 0.419756 loss: 1.820810 eta: 0:50:51 batch_cost: 1.0490 data_cost: 0.4571 ips: 53.3845 images/s [03/19 10:17:10] ppdet.engine INFO: Epoch: [293] [400/523] learning_rate: 0.000299 loss_vfl: 1.025460 loss_bbox: 0.455642 loss_dfl: 0.424088 loss: 1.876891 eta: 0:50:32 batch_cost: 0.8522 data_cost: 0.0635 ips: 65.7113 images/s [03/19 10:17:33] ppdet.engine INFO: Epoch: [293] [420/523] learning_rate: 0.000296 loss_vfl: 0.939583 loss_bbox: 0.411258 loss_dfl: 0.391558 loss: 1.732117 eta: 0:50:13 batch_cost: 0.9335 data_cost: 0.2836 ips: 59.9894 images/s [03/19 10:17:59] ppdet.engine INFO: Epoch: [293] [440/523] learning_rate: 0.000292 loss_vfl: 0.959744 loss_bbox: 0.412567 loss_dfl: 0.410635 loss: 1.770183 eta: 0:49:55 batch_cost: 1.1847 data_cost: 0.4882 ips: 47.2676 images/s [03/19 10:18:19] ppdet.engine INFO: Epoch: [293] [460/523] learning_rate: 0.000289 loss_vfl: 0.897825 loss_bbox: 0.417536 loss_dfl: 0.387976 loss: 1.669349 eta: 0:49:36 batch_cost: 0.8576 data_cost: 0.1962 ips: 65.2988 images/s [03/19 10:18:43] ppdet.engine INFO: Epoch: [293] [480/523] learning_rate: 0.000285 loss_vfl: 0.971587 loss_bbox: 0.434983 loss_dfl: 0.426885 loss: 1.838099 eta: 0:49:18 batch_cost: 1.0260 data_cost: 0.2084 ips: 54.5812 images/s [03/19 10:19:04] ppdet.engine INFO: Epoch: [293] [500/523] learning_rate: 0.000281 loss_vfl: 1.013150 loss_bbox: 0.454776 loss_dfl: 0.439420 loss: 1.901905 eta: 0:48:59 batch_cost: 0.9617 data_cost: 0.3091 ips: 58.2319 images/s [03/19 10:19:24] ppdet.engine INFO: Epoch: [293] [520/523] learning_rate: 0.000278 loss_vfl: 1.001214 loss_bbox: 0.450591 loss_dfl: 0.427109 loss: 1.917910 eta: 0:48:40 batch_cost: 0.8468 data_cost: 0.2455 ips: 66.1339 images/s [03/19 10:19:37] ppdet.engine INFO: Epoch: [294] [ 0/523] learning_rate: 0.000277 loss_vfl: 1.000802 loss_bbox: 0.443058 loss_dfl: 0.427109 loss: 1.908128 eta: 0:48:38 batch_cost: 1.3102 data_cost: 0.6830 ips: 42.7417 images/s [03/19 10:20:01] ppdet.engine INFO: Epoch: [294] [ 20/523] learning_rate: 0.000274 loss_vfl: 0.963107 loss_bbox: 0.429956 loss_dfl: 0.412383 loss: 1.827096 eta: 0:48:19 batch_cost: 0.9124 data_cost: 0.0024 ips: 61.3750 images/s [03/19 10:20:19] ppdet.engine INFO: Epoch: [294] [ 40/523] learning_rate: 0.000270 loss_vfl: 0.954293 loss_bbox: 0.444637 loss_dfl: 0.409136 loss: 1.773803 eta: 0:48:01 batch_cost: 0.7286 data_cost: 0.0551 ips: 76.8603 images/s [03/19 10:20:39] ppdet.engine INFO: Epoch: [294] [ 60/523] learning_rate: 0.000267 loss_vfl: 0.944316 loss_bbox: 0.434467 loss_dfl: 0.423727 loss: 1.816986 eta: 0:47:42 batch_cost: 0.7781 data_cost: 0.0043 ips: 71.9729 images/s [03/19 10:21:03] ppdet.engine INFO: Epoch: [294] [ 80/523] learning_rate: 0.000263 loss_vfl: 0.970874 loss_bbox: 0.470720 loss_dfl: 0.422608 loss: 1.850899 eta: 0:47:23 batch_cost: 1.0470 data_cost: 0.0777 ips: 53.4850 images/s [03/19 10:21:28] ppdet.engine INFO: Epoch: [294] [100/523] learning_rate: 0.000260 loss_vfl: 1.016697 loss_bbox: 0.440201 loss_dfl: 0.433935 loss: 1.888239 eta: 0:47:05 batch_cost: 1.0696 data_cost: 0.0066 ips: 52.3557 images/s [03/19 10:21:51] ppdet.engine INFO: Epoch: [294] [120/523] learning_rate: 0.000257 loss_vfl: 1.006512 loss_bbox: 0.441806 loss_dfl: 0.431944 loss: 1.884356 eta: 0:46:46 batch_cost: 0.8558 data_cost: 0.0038 ips: 65.4396 images/s [03/19 10:22:14] ppdet.engine INFO: Epoch: [294] [140/523] learning_rate: 0.000253 loss_vfl: 0.953860 loss_bbox: 0.427962 loss_dfl: 0.409919 loss: 1.787445 eta: 0:46:28 batch_cost: 0.9420 data_cost: 0.2588 ips: 59.4487 images/s [03/19 10:22:37] ppdet.engine INFO: Epoch: [294] [160/523] learning_rate: 0.000250 loss_vfl: 0.962548 loss_bbox: 0.436685 loss_dfl: 0.407919 loss: 1.759649 eta: 0:46:09 batch_cost: 1.0192 data_cost: 0.2008 ips: 54.9468 images/s [03/19 10:23:01] ppdet.engine INFO: Epoch: [294] [180/523] learning_rate: 0.000246 loss_vfl: 0.901808 loss_bbox: 0.399360 loss_dfl: 0.393377 loss: 1.693715 eta: 0:45:50 batch_cost: 1.0256 data_cost: 0.1042 ips: 54.6040 images/s [03/19 10:23:25] ppdet.engine INFO: Epoch: [294] [200/523] learning_rate: 0.000243 loss_vfl: 0.957720 loss_bbox: 0.411153 loss_dfl: 0.414585 loss: 1.796662 eta: 0:45:32 batch_cost: 0.9164 data_cost: 0.0834 ips: 61.1104 images/s [03/19 10:23:49] ppdet.engine INFO: Epoch: [294] [220/523] learning_rate: 0.000240 loss_vfl: 0.957619 loss_bbox: 0.427180 loss_dfl: 0.414161 loss: 1.798848 eta: 0:45:13 batch_cost: 1.1139 data_cost: 0.3855 ips: 50.2752 images/s [03/19 10:24:13] ppdet.engine INFO: Epoch: [294] [240/523] learning_rate: 0.000237 loss_vfl: 0.965524 loss_bbox: 0.406704 loss_dfl: 0.408556 loss: 1.775845 eta: 0:44:55 batch_cost: 0.9749 data_cost: 0.1644 ips: 57.4403 images/s [03/19 10:24:34] ppdet.engine INFO: Epoch: [294] [260/523] learning_rate: 0.000233 loss_vfl: 1.010524 loss_bbox: 0.451664 loss_dfl: 0.419146 loss: 1.885904 eta: 0:44:36 batch_cost: 0.8430 data_cost: 0.1823 ips: 66.4261 images/s [03/19 10:24:54] ppdet.engine INFO: Epoch: [294] [280/523] learning_rate: 0.000230 loss_vfl: 0.956487 loss_bbox: 0.440668 loss_dfl: 0.410887 loss: 1.818704 eta: 0:44:17 batch_cost: 0.8173 data_cost: 0.1368 ips: 68.5207 images/s [03/19 10:25:15] ppdet.engine INFO: Epoch: [294] [300/523] learning_rate: 0.000227 loss_vfl: 0.916636 loss_bbox: 0.398510 loss_dfl: 0.399366 loss: 1.689456 eta: 0:43:59 batch_cost: 0.9119 data_cost: 0.2314 ips: 61.4124 images/s [03/19 10:25:36] ppdet.engine INFO: Epoch: [294] [320/523] learning_rate: 0.000224 loss_vfl: 0.953956 loss_bbox: 0.430174 loss_dfl: 0.399054 loss: 1.764428 eta: 0:43:40 batch_cost: 0.8691 data_cost: 0.0506 ips: 64.4323 images/s [03/19 10:26:02] ppdet.engine INFO: Epoch: [294] [340/523] learning_rate: 0.000220 loss_vfl: 0.970990 loss_bbox: 0.445513 loss_dfl: 0.425739 loss: 1.859462 eta: 0:43:22 batch_cost: 1.1545 data_cost: 0.5145 ips: 48.5076 images/s [03/19 10:26:21] ppdet.engine INFO: Epoch: [294] [360/523] learning_rate: 0.000217 loss_vfl: 0.937070 loss_bbox: 0.415237 loss_dfl: 0.401914 loss: 1.731464 eta: 0:43:03 batch_cost: 0.8163 data_cost: 0.0448 ips: 68.6039 images/s [03/19 10:26:44] ppdet.engine INFO: Epoch: [294] [380/523] learning_rate: 0.000214 loss_vfl: 0.973367 loss_bbox: 0.429930 loss_dfl: 0.410390 loss: 1.799317 eta: 0:42:44 batch_cost: 0.9907 data_cost: 0.2184 ips: 56.5255 images/s [03/19 10:27:08] ppdet.engine INFO: Epoch: [294] [400/523] learning_rate: 0.000211 loss_vfl: 0.992259 loss_bbox: 0.459468 loss_dfl: 0.424585 loss: 1.852255 eta: 0:42:26 batch_cost: 1.1140 data_cost: 0.5069 ips: 50.2677 images/s [03/19 10:27:32] ppdet.engine INFO: Epoch: [294] [420/523] learning_rate: 0.000208 loss_vfl: 0.908668 loss_bbox: 0.406079 loss_dfl: 0.387941 loss: 1.700573 eta: 0:42:07 batch_cost: 1.0255 data_cost: 0.3148 ips: 54.6051 images/s [03/19 10:27:53] ppdet.engine INFO: Epoch: [294] [440/523] learning_rate: 0.000205 loss_vfl: 1.014712 loss_bbox: 0.457184 loss_dfl: 0.430700 loss: 1.893829 eta: 0:41:49 batch_cost: 0.9091 data_cost: 0.1983 ips: 61.6013 images/s [03/19 10:28:18] ppdet.engine INFO: Epoch: [294] [460/523] learning_rate: 0.000202 loss_vfl: 0.958263 loss_bbox: 0.430842 loss_dfl: 0.405579 loss: 1.774294 eta: 0:41:30 batch_cost: 1.1252 data_cost: 0.4768 ips: 49.7677 images/s [03/19 10:28:40] ppdet.engine INFO: Epoch: [294] [480/523] learning_rate: 0.000199 loss_vfl: 0.981305 loss_bbox: 0.447374 loss_dfl: 0.415753 loss: 1.808393 eta: 0:41:12 batch_cost: 0.8925 data_cost: 0.2485 ips: 62.7461 images/s [03/19 10:29:01] ppdet.engine INFO: Epoch: [294] [500/523] learning_rate: 0.000196 loss_vfl: 0.994788 loss_bbox: 0.424255 loss_dfl: 0.416259 loss: 1.848674 eta: 0:40:53 batch_cost: 0.8243 data_cost: 0.0551 ips: 67.9327 images/s [03/19 10:29:19] ppdet.engine INFO: Epoch: [294] [520/523] learning_rate: 0.000193 loss_vfl: 1.010906 loss_bbox: 0.469626 loss_dfl: 0.445890 loss: 1.924491 eta: 0:40:34 batch_cost: 0.7970 data_cost: 0.1015 ips: 70.2628 images/s [03/19 10:29:30] ppdet.engine INFO: Epoch: [295] [ 0/523] learning_rate: 0.000193 loss_vfl: 1.010906 loss_bbox: 0.469626 loss_dfl: 0.445890 loss: 1.924491 eta: 0:40:32 batch_cost: 1.1701 data_cost: 0.4974 ips: 47.8599 images/s [03/19 10:29:51] ppdet.engine INFO: Epoch: [295] [ 20/523] learning_rate: 0.000190 loss_vfl: 0.951819 loss_bbox: 0.415039 loss_dfl: 0.402519 loss: 1.778308 eta: 0:40:13 batch_cost: 0.8807 data_cost: 0.0050 ips: 63.5856 images/s [03/19 10:30:16] ppdet.engine INFO: Epoch: [295] [ 40/523] learning_rate: 0.000187 loss_vfl: 0.933384 loss_bbox: 0.431105 loss_dfl: 0.398745 loss: 1.743930 eta: 0:39:55 batch_cost: 1.0283 data_cost: 0.0008 ips: 54.4586 images/s [03/19 10:30:40] ppdet.engine INFO: Epoch: [295] [ 60/523] learning_rate: 0.000184 loss_vfl: 0.941128 loss_bbox: 0.441772 loss_dfl: 0.417717 loss: 1.820373 eta: 0:39:36 batch_cost: 1.0029 data_cost: 0.0167 ips: 55.8402 images/s [03/19 10:31:04] ppdet.engine INFO: Epoch: [295] [ 80/523] learning_rate: 0.000181 loss_vfl: 0.993651 loss_bbox: 0.422109 loss_dfl: 0.421535 loss: 1.836135 eta: 0:39:17 batch_cost: 1.1165 data_cost: 0.0102 ips: 50.1570 images/s [03/19 10:31:29] ppdet.engine INFO: Epoch: [295] [100/523] learning_rate: 0.000178 loss_vfl: 0.903760 loss_bbox: 0.403189 loss_dfl: 0.383580 loss: 1.700362 eta: 0:38:59 batch_cost: 1.0481 data_cost: 0.0715 ips: 53.4311 images/s [03/19 10:31:53] ppdet.engine INFO: Epoch: [295] [120/523] learning_rate: 0.000175 loss_vfl: 0.941746 loss_bbox: 0.413082 loss_dfl: 0.392889 loss: 1.762172 eta: 0:38:40 batch_cost: 1.0145 data_cost: 0.1438 ips: 55.1985 images/s [03/19 10:32:18] ppdet.engine INFO: Epoch: [295] [140/523] learning_rate: 0.000173 loss_vfl: 0.955700 loss_bbox: 0.428411 loss_dfl: 0.405705 loss: 1.813153 eta: 0:38:22 batch_cost: 1.0740 data_cost: 0.0044 ips: 52.1432 images/s [03/19 10:32:40] ppdet.engine INFO: Epoch: [295] [160/523] learning_rate: 0.000170 loss_vfl: 0.906775 loss_bbox: 0.403885 loss_dfl: 0.397704 loss: 1.712912 eta: 0:38:03 batch_cost: 0.8668 data_cost: 0.0119 ips: 64.6037 images/s [03/19 10:33:05] ppdet.engine INFO: Epoch: [295] [180/523] learning_rate: 0.000167 loss_vfl: 0.985483 loss_bbox: 0.436182 loss_dfl: 0.426072 loss: 1.856057 eta: 0:37:44 batch_cost: 0.9999 data_cost: 0.0036 ips: 56.0076 images/s [03/19 10:33:25] ppdet.engine INFO: Epoch: [295] [200/523] learning_rate: 0.000164 loss_vfl: 1.004524 loss_bbox: 0.462832 loss_dfl: 0.425876 loss: 1.903191 eta: 0:37:26 batch_cost: 0.8164 data_cost: 0.0025 ips: 68.5968 images/s [03/19 10:33:45] ppdet.engine INFO: Epoch: [295] [220/523] learning_rate: 0.000162 loss_vfl: 0.974476 loss_bbox: 0.423280 loss_dfl: 0.414606 loss: 1.792461 eta: 0:37:07 batch_cost: 0.8688 data_cost: 0.0681 ips: 64.4534 images/s [03/19 10:34:07] ppdet.engine INFO: Epoch: [295] [240/523] learning_rate: 0.000159 loss_vfl: 0.940058 loss_bbox: 0.440646 loss_dfl: 0.411525 loss: 1.794272 eta: 0:36:49 batch_cost: 0.8503 data_cost: 0.1082 ips: 65.8603 images/s [03/19 10:34:29] ppdet.engine INFO: Epoch: [295] [260/523] learning_rate: 0.000156 loss_vfl: 0.996472 loss_bbox: 0.453988 loss_dfl: 0.435849 loss: 1.892880 eta: 0:36:30 batch_cost: 0.9080 data_cost: 0.0724 ips: 61.6769 images/s [03/19 10:34:53] ppdet.engine INFO: Epoch: [295] [280/523] learning_rate: 0.000154 loss_vfl: 0.966821 loss_bbox: 0.450124 loss_dfl: 0.419958 loss: 1.831449 eta: 0:36:11 batch_cost: 1.0750 data_cost: 0.2376 ips: 52.0951 images/s [03/19 10:35:18] ppdet.engine INFO: Epoch: [295] [300/523] learning_rate: 0.000151 loss_vfl: 0.911262 loss_bbox: 0.421979 loss_dfl: 0.397698 loss: 1.734637 eta: 0:35:53 batch_cost: 1.0214 data_cost: 0.1917 ips: 54.8269 images/s [03/19 10:35:38] ppdet.engine INFO: Epoch: [295] [320/523] learning_rate: 0.000148 loss_vfl: 0.918477 loss_bbox: 0.403886 loss_dfl: 0.392847 loss: 1.734926 eta: 0:35:34 batch_cost: 0.8822 data_cost: 0.1502 ips: 63.4785 images/s [03/19 10:36:01] ppdet.engine INFO: Epoch: [295] [340/523] learning_rate: 0.000146 loss_vfl: 0.934632 loss_bbox: 0.417697 loss_dfl: 0.399782 loss: 1.744085 eta: 0:35:16 batch_cost: 1.0252 data_cost: 0.1685 ips: 54.6259 images/s [03/19 10:36:26] ppdet.engine INFO: Epoch: [295] [360/523] learning_rate: 0.000143 loss_vfl: 0.968462 loss_bbox: 0.439643 loss_dfl: 0.427982 loss: 1.859334 eta: 0:34:57 batch_cost: 1.0972 data_cost: 0.1759 ips: 51.0404 images/s [03/19 10:36:49] ppdet.engine INFO: Epoch: [295] [380/523] learning_rate: 0.000141 loss_vfl: 0.956099 loss_bbox: 0.437492 loss_dfl: 0.411284 loss: 1.791371 eta: 0:34:39 batch_cost: 1.0140 data_cost: 0.2197 ips: 55.2242 images/s [03/19 10:37:12] ppdet.engine INFO: Epoch: [295] [400/523] learning_rate: 0.000138 loss_vfl: 1.000778 loss_bbox: 0.433553 loss_dfl: 0.433493 loss: 1.868749 eta: 0:34:20 batch_cost: 0.8888 data_cost: 0.0082 ips: 63.0037 images/s [03/19 10:37:35] ppdet.engine INFO: Epoch: [295] [420/523] learning_rate: 0.000136 loss_vfl: 0.935895 loss_bbox: 0.417853 loss_dfl: 0.405633 loss: 1.733060 eta: 0:34:01 batch_cost: 1.0763 data_cost: 0.1564 ips: 52.0318 images/s [03/19 10:37:56] ppdet.engine INFO: Epoch: [295] [440/523] learning_rate: 0.000133 loss_vfl: 0.965791 loss_bbox: 0.457149 loss_dfl: 0.412556 loss: 1.847369 eta: 0:33:43 batch_cost: 0.8978 data_cost: 0.1588 ips: 62.3751 images/s [03/19 10:38:17] ppdet.engine INFO: Epoch: [295] [460/523] learning_rate: 0.000131 loss_vfl: 0.945249 loss_bbox: 0.403332 loss_dfl: 0.395038 loss: 1.740093 eta: 0:33:24 batch_cost: 0.8539 data_cost: 0.0698 ips: 65.5798 images/s [03/19 10:38:35] ppdet.engine INFO: Epoch: [295] [480/523] learning_rate: 0.000128 loss_vfl: 0.943425 loss_bbox: 0.408034 loss_dfl: 0.416617 loss: 1.799502 eta: 0:33:05 batch_cost: 0.7583 data_cost: 0.0060 ips: 73.8481 images/s [03/19 10:38:58] ppdet.engine INFO: Epoch: [295] [500/523] learning_rate: 0.000126 loss_vfl: 0.926986 loss_bbox: 0.427167 loss_dfl: 0.407147 loss: 1.761047 eta: 0:32:47 batch_cost: 0.9546 data_cost: 0.0050 ips: 58.6652 images/s [03/19 10:39:16] ppdet.engine INFO: Epoch: [295] [520/523] learning_rate: 0.000124 loss_vfl: 1.018898 loss_bbox: 0.455449 loss_dfl: 0.426706 loss: 1.932326 eta: 0:32:28 batch_cost: 0.7148 data_cost: 0.0919 ips: 78.3409 images/s [03/19 10:39:31] ppdet.engine INFO: Epoch: [296] [ 0/523] learning_rate: 0.000123 loss_vfl: 0.965391 loss_bbox: 0.434976 loss_dfl: 0.400164 loss: 1.790324 eta: 0:32:26 batch_cost: 1.3489 data_cost: 0.6917 ips: 41.5167 images/s [03/19 10:39:53] ppdet.engine INFO: Epoch: [296] [ 20/523] learning_rate: 0.000121 loss_vfl: 0.958617 loss_bbox: 0.428600 loss_dfl: 0.416716 loss: 1.811817 eta: 0:32:07 batch_cost: 0.8753 data_cost: 0.0070 ips: 63.9817 images/s [03/19 10:40:15] ppdet.engine INFO: Epoch: [296] [ 40/523] learning_rate: 0.000119 loss_vfl: 0.943063 loss_bbox: 0.418096 loss_dfl: 0.395787 loss: 1.723370 eta: 0:31:48 batch_cost: 0.9573 data_cost: 0.0943 ips: 58.4979 images/s [03/19 10:40:39] ppdet.engine INFO: Epoch: [296] [ 60/523] learning_rate: 0.000116 loss_vfl: 0.984238 loss_bbox: 0.414139 loss_dfl: 0.405602 loss: 1.823755 eta: 0:31:30 batch_cost: 1.1268 data_cost: 0.3552 ips: 49.6976 images/s [03/19 10:41:02] ppdet.engine INFO: Epoch: [296] [ 80/523] learning_rate: 0.000114 loss_vfl: 0.972180 loss_bbox: 0.421947 loss_dfl: 0.408617 loss: 1.797956 eta: 0:31:11 batch_cost: 1.0379 data_cost: 0.2630 ips: 53.9549 images/s [03/19 10:41:28] ppdet.engine INFO: Epoch: [296] [100/523] learning_rate: 0.000112 loss_vfl: 0.956264 loss_bbox: 0.421428 loss_dfl: 0.413269 loss: 1.814435 eta: 0:30:53 batch_cost: 1.1257 data_cost: 0.2990 ips: 49.7457 images/s [03/19 10:41:51] ppdet.engine INFO: Epoch: [296] [120/523] learning_rate: 0.000110 loss_vfl: 0.994148 loss_bbox: 0.435868 loss_dfl: 0.419106 loss: 1.841686 eta: 0:30:34 batch_cost: 0.8950 data_cost: 0.1069 ips: 62.5705 images/s [03/19 10:42:14] ppdet.engine INFO: Epoch: [296] [140/523] learning_rate: 0.000107 loss_vfl: 0.972224 loss_bbox: 0.426666 loss_dfl: 0.412346 loss: 1.818199 eta: 0:30:15 batch_cost: 0.9610 data_cost: 0.0171 ips: 58.2706 images/s [03/19 10:42:35] ppdet.engine INFO: Epoch: [296] [160/523] learning_rate: 0.000105 loss_vfl: 0.947716 loss_bbox: 0.418134 loss_dfl: 0.410524 loss: 1.776365 eta: 0:29:57 batch_cost: 0.9154 data_cost: 0.0032 ips: 61.1742 images/s [03/19 10:42:53] ppdet.engine INFO: Epoch: [296] [180/523] learning_rate: 0.000103 loss_vfl: 0.949579 loss_bbox: 0.418909 loss_dfl: 0.405056 loss: 1.784450 eta: 0:29:38 batch_cost: 0.7507 data_cost: 0.0029 ips: 74.5924 images/s [03/19 10:43:13] ppdet.engine INFO: Epoch: [296] [200/523] learning_rate: 0.000101 loss_vfl: 0.975209 loss_bbox: 0.434160 loss_dfl: 0.423061 loss: 1.820246 eta: 0:29:20 batch_cost: 0.7903 data_cost: 0.0140 ips: 70.8621 images/s [03/19 10:43:36] ppdet.engine INFO: Epoch: [296] [220/523] learning_rate: 0.000099 loss_vfl: 0.987589 loss_bbox: 0.447040 loss_dfl: 0.421826 loss: 1.863565 eta: 0:29:01 batch_cost: 0.9775 data_cost: 0.0229 ips: 57.2867 images/s [03/19 10:43:59] ppdet.engine INFO: Epoch: [296] [240/523] learning_rate: 0.000097 loss_vfl: 1.001489 loss_bbox: 0.442126 loss_dfl: 0.425776 loss: 1.867680 eta: 0:28:42 batch_cost: 0.9349 data_cost: 0.0832 ips: 59.8964 images/s [03/19 10:44:22] ppdet.engine INFO: Epoch: [296] [260/523] learning_rate: 0.000095 loss_vfl: 0.961052 loss_bbox: 0.433169 loss_dfl: 0.419194 loss: 1.814382 eta: 0:28:24 batch_cost: 0.8742 data_cost: 0.1231 ips: 64.0595 images/s [03/19 10:44:45] ppdet.engine INFO: Epoch: [296] [280/523] learning_rate: 0.000092 loss_vfl: 0.921088 loss_bbox: 0.424439 loss_dfl: 0.397898 loss: 1.716635 eta: 0:28:05 batch_cost: 1.0172 data_cost: 0.2586 ips: 55.0511 images/s [03/19 10:45:07] ppdet.engine INFO: Epoch: [296] [300/523] learning_rate: 0.000090 loss_vfl: 0.983164 loss_bbox: 0.442877 loss_dfl: 0.423432 loss: 1.850546 eta: 0:27:47 batch_cost: 0.9563 data_cost: 0.2138 ips: 58.5577 images/s [03/19 10:45:29] ppdet.engine INFO: Epoch: [296] [320/523] learning_rate: 0.000088 loss_vfl: 0.970437 loss_bbox: 0.434617 loss_dfl: 0.424444 loss: 1.840184 eta: 0:27:28 batch_cost: 0.9729 data_cost: 0.1856 ips: 57.5586 images/s [03/19 10:45:52] ppdet.engine INFO: Epoch: [296] [340/523] learning_rate: 0.000086 loss_vfl: 0.967505 loss_bbox: 0.431667 loss_dfl: 0.419645 loss: 1.830816 eta: 0:27:09 batch_cost: 0.9501 data_cost: 0.2717 ips: 58.9429 images/s [03/19 10:46:16] ppdet.engine INFO: Epoch: [296] [360/523] learning_rate: 0.000085 loss_vfl: 0.975782 loss_bbox: 0.427636 loss_dfl: 0.415686 loss: 1.829039 eta: 0:26:51 batch_cost: 0.9414 data_cost: 0.1436 ips: 59.4872 images/s [03/19 10:46:37] ppdet.engine INFO: Epoch: [296] [380/523] learning_rate: 0.000083 loss_vfl: 0.919264 loss_bbox: 0.405911 loss_dfl: 0.396889 loss: 1.720668 eta: 0:26:32 batch_cost: 0.9124 data_cost: 0.0091 ips: 61.3788 images/s [03/19 10:47:00] ppdet.engine INFO: Epoch: [296] [400/523] learning_rate: 0.000081 loss_vfl: 1.044930 loss_bbox: 0.478045 loss_dfl: 0.449001 loss: 1.961616 eta: 0:26:14 batch_cost: 1.0360 data_cost: 0.2995 ips: 54.0554 images/s [03/19 10:47:19] ppdet.engine INFO: Epoch: [296] [420/523] learning_rate: 0.000079 loss_vfl: 0.978353 loss_bbox: 0.437463 loss_dfl: 0.405770 loss: 1.834649 eta: 0:25:55 batch_cost: 0.8092 data_cost: 0.0045 ips: 69.2002 images/s [03/19 10:47:38] ppdet.engine INFO: Epoch: [296] [440/523] learning_rate: 0.000077 loss_vfl: 0.979067 loss_bbox: 0.436645 loss_dfl: 0.414054 loss: 1.834857 eta: 0:25:36 batch_cost: 0.7647 data_cost: 0.0027 ips: 73.2284 images/s [03/19 10:48:00] ppdet.engine INFO: Epoch: [296] [460/523] learning_rate: 0.000075 loss_vfl: 0.983806 loss_bbox: 0.425556 loss_dfl: 0.409859 loss: 1.817690 eta: 0:25:18 batch_cost: 1.0129 data_cost: 0.1863 ips: 55.2887 images/s [03/19 10:48:24] ppdet.engine INFO: Epoch: [296] [480/523] learning_rate: 0.000073 loss_vfl: 0.965189 loss_bbox: 0.425074 loss_dfl: 0.395565 loss: 1.798915 eta: 0:24:59 batch_cost: 0.9958 data_cost: 0.0467 ips: 56.2350 images/s [03/19 10:48:47] ppdet.engine INFO: Epoch: [296] [500/523] learning_rate: 0.000071 loss_vfl: 0.969682 loss_bbox: 0.439561 loss_dfl: 0.410458 loss: 1.845614 eta: 0:24:41 batch_cost: 0.9930 data_cost: 0.0400 ips: 56.3967 images/s [03/19 10:49:05] ppdet.engine INFO: Epoch: [296] [520/523] learning_rate: 0.000070 loss_vfl: 0.935069 loss_bbox: 0.406705 loss_dfl: 0.398152 loss: 1.706037 eta: 0:24:22 batch_cost: 0.7509 data_cost: 0.0031 ips: 74.5741 images/s [03/19 10:49:17] ppdet.engine INFO: Epoch: [297] [ 0/523] learning_rate: 0.000069 loss_vfl: 0.946188 loss_bbox: 0.410800 loss_dfl: 0.404967 loss: 1.715227 eta: 0:24:19 batch_cost: 1.1418 data_cost: 0.4591 ips: 49.0447 images/s [03/19 10:49:38] ppdet.engine INFO: Epoch: [297] [ 20/523] learning_rate: 0.000068 loss_vfl: 1.028046 loss_bbox: 0.445006 loss_dfl: 0.430549 loss: 1.891768 eta: 0:24:01 batch_cost: 0.9185 data_cost: 0.0022 ips: 60.9701 images/s [03/19 10:50:00] ppdet.engine INFO: Epoch: [297] [ 40/523] learning_rate: 0.000066 loss_vfl: 0.969231 loss_bbox: 0.444825 loss_dfl: 0.424250 loss: 1.837482 eta: 0:23:42 batch_cost: 0.9466 data_cost: 0.1166 ips: 59.1573 images/s [03/19 10:50:24] ppdet.engine INFO: Epoch: [297] [ 60/523] learning_rate: 0.000064 loss_vfl: 0.982771 loss_bbox: 0.415026 loss_dfl: 0.410246 loss: 1.801847 eta: 0:23:23 batch_cost: 1.0699 data_cost: 0.1858 ips: 52.3413 images/s [03/19 10:50:48] ppdet.engine INFO: Epoch: [297] [ 80/523] learning_rate: 0.000062 loss_vfl: 0.958310 loss_bbox: 0.445828 loss_dfl: 0.411949 loss: 1.804841 eta: 0:23:05 batch_cost: 1.0086 data_cost: 0.2552 ips: 55.5206 images/s [03/19 10:51:09] ppdet.engine INFO: Epoch: [297] [100/523] learning_rate: 0.000061 loss_vfl: 0.926673 loss_bbox: 0.426805 loss_dfl: 0.400283 loss: 1.717413 eta: 0:22:46 batch_cost: 0.9105 data_cost: 0.1362 ips: 61.5063 images/s [03/19 10:51:31] ppdet.engine INFO: Epoch: [297] [120/523] learning_rate: 0.000059 loss_vfl: 0.981285 loss_bbox: 0.430409 loss_dfl: 0.411028 loss: 1.823034 eta: 0:22:28 batch_cost: 0.9202 data_cost: 0.0906 ips: 60.8564 images/s [03/19 10:51:48] ppdet.engine INFO: Epoch: [297] [140/523] learning_rate: 0.000058 loss_vfl: 0.959209 loss_bbox: 0.415928 loss_dfl: 0.409432 loss: 1.781839 eta: 0:22:09 batch_cost: 0.7630 data_cost: 0.0012 ips: 73.3939 images/s [03/19 10:52:10] ppdet.engine INFO: Epoch: [297] [160/523] learning_rate: 0.000056 loss_vfl: 0.979904 loss_bbox: 0.416026 loss_dfl: 0.417190 loss: 1.824054 eta: 0:21:50 batch_cost: 0.9516 data_cost: 0.1608 ips: 58.8493 images/s [03/19 10:52:31] ppdet.engine INFO: Epoch: [297] [180/523] learning_rate: 0.000054 loss_vfl: 0.975122 loss_bbox: 0.430889 loss_dfl: 0.419062 loss: 1.820048 eta: 0:21:32 batch_cost: 0.9349 data_cost: 0.1065 ips: 59.9010 images/s [03/19 10:52:56] ppdet.engine INFO: Epoch: [297] [200/523] learning_rate: 0.000053 loss_vfl: 0.985862 loss_bbox: 0.450430 loss_dfl: 0.424554 loss: 1.864326 eta: 0:21:13 batch_cost: 1.1129 data_cost: 0.3599 ips: 50.3171 images/s [03/19 10:53:17] ppdet.engine INFO: Epoch: [297] [220/523] learning_rate: 0.000051 loss_vfl: 0.969087 loss_bbox: 0.418180 loss_dfl: 0.406474 loss: 1.793725 eta: 0:20:55 batch_cost: 0.8120 data_cost: 0.0712 ips: 68.9667 images/s [03/19 10:53:40] ppdet.engine INFO: Epoch: [297] [240/523] learning_rate: 0.000050 loss_vfl: 0.934631 loss_bbox: 0.419871 loss_dfl: 0.398743 loss: 1.742652 eta: 0:20:36 batch_cost: 1.0159 data_cost: 0.2767 ips: 55.1208 images/s [03/19 10:54:03] ppdet.engine INFO: Epoch: [297] [260/523] learning_rate: 0.000048 loss_vfl: 0.964236 loss_bbox: 0.443284 loss_dfl: 0.406220 loss: 1.803592 eta: 0:20:17 batch_cost: 1.0167 data_cost: 0.1856 ips: 55.0776 images/s [03/19 10:54:26] ppdet.engine INFO: Epoch: [297] [280/523] learning_rate: 0.000047 loss_vfl: 0.932451 loss_bbox: 0.416444 loss_dfl: 0.397106 loss: 1.751595 eta: 0:19:59 batch_cost: 0.9871 data_cost: 0.2552 ips: 56.7303 images/s [03/19 10:54:47] ppdet.engine INFO: Epoch: [297] [300/523] learning_rate: 0.000045 loss_vfl: 0.987922 loss_bbox: 0.441390 loss_dfl: 0.418550 loss: 1.846537 eta: 0:19:40 batch_cost: 0.8849 data_cost: 0.1818 ips: 63.2853 images/s [03/19 10:55:11] ppdet.engine INFO: Epoch: [297] [320/523] learning_rate: 0.000044 loss_vfl: 0.953546 loss_bbox: 0.418480 loss_dfl: 0.406382 loss: 1.780819 eta: 0:19:22 batch_cost: 1.0391 data_cost: 0.2502 ips: 53.8930 images/s [03/19 10:55:32] ppdet.engine INFO: Epoch: [297] [340/523] learning_rate: 0.000043 loss_vfl: 0.966566 loss_bbox: 0.416538 loss_dfl: 0.404139 loss: 1.790051 eta: 0:19:03 batch_cost: 0.8191 data_cost: 0.0012 ips: 68.3713 images/s [03/19 10:55:53] ppdet.engine INFO: Epoch: [297] [360/523] learning_rate: 0.000041 loss_vfl: 0.953091 loss_bbox: 0.435609 loss_dfl: 0.409815 loss: 1.796645 eta: 0:18:44 batch_cost: 0.9571 data_cost: 0.1970 ips: 58.5077 images/s [03/19 10:56:14] ppdet.engine INFO: Epoch: [297] [380/523] learning_rate: 0.000040 loss_vfl: 0.993769 loss_bbox: 0.441907 loss_dfl: 0.423005 loss: 1.892948 eta: 0:18:26 batch_cost: 0.9289 data_cost: 0.0836 ips: 60.2873 images/s [03/19 10:56:32] ppdet.engine INFO: Epoch: [297] [400/523] learning_rate: 0.000038 loss_vfl: 0.952586 loss_bbox: 0.419386 loss_dfl: 0.404276 loss: 1.771593 eta: 0:18:07 batch_cost: 0.8088 data_cost: 0.0240 ips: 69.2400 images/s [03/19 10:56:52] ppdet.engine INFO: Epoch: [297] [420/523] learning_rate: 0.000037 loss_vfl: 0.986340 loss_bbox: 0.429648 loss_dfl: 0.423854 loss: 1.849625 eta: 0:17:48 batch_cost: 0.8166 data_cost: 0.0180 ips: 68.5743 images/s [03/19 10:57:15] ppdet.engine INFO: Epoch: [297] [440/523] learning_rate: 0.000036 loss_vfl: 0.888674 loss_bbox: 0.400044 loss_dfl: 0.382107 loss: 1.667945 eta: 0:17:30 batch_cost: 0.9385 data_cost: 0.1108 ips: 59.6704 images/s [03/19 10:57:38] ppdet.engine INFO: Epoch: [297] [460/523] learning_rate: 0.000035 loss_vfl: 0.931489 loss_bbox: 0.411647 loss_dfl: 0.398234 loss: 1.721905 eta: 0:17:11 batch_cost: 1.0051 data_cost: 0.2673 ips: 55.7137 images/s [03/19 10:58:00] ppdet.engine INFO: Epoch: [297] [480/523] learning_rate: 0.000033 loss_vfl: 0.952607 loss_bbox: 0.448609 loss_dfl: 0.412795 loss: 1.811751 eta: 0:16:53 batch_cost: 0.8513 data_cost: 0.0882 ips: 65.7828 images/s [03/19 10:58:22] ppdet.engine INFO: Epoch: [297] [500/523] learning_rate: 0.000032 loss_vfl: 0.997242 loss_bbox: 0.458130 loss_dfl: 0.426157 loss: 1.887055 eta: 0:16:34 batch_cost: 1.0318 data_cost: 0.0947 ips: 54.2721 images/s [03/19 10:58:39] ppdet.engine INFO: Epoch: [297] [520/523] learning_rate: 0.000031 loss_vfl: 0.979035 loss_bbox: 0.427841 loss_dfl: 0.423157 loss: 1.845186 eta: 0:16:15 batch_cost: 0.7221 data_cost: 0.0662 ips: 77.5541 images/s [03/19 10:58:53] ppdet.engine INFO: Epoch: [298] [ 0/523] learning_rate: 0.000031 loss_vfl: 0.970369 loss_bbox: 0.416189 loss_dfl: 0.409984 loss: 1.793943 eta: 0:16:13 batch_cost: 1.2059 data_cost: 0.4877 ips: 46.4374 images/s [03/19 10:59:15] ppdet.engine INFO: Epoch: [298] [ 20/523] learning_rate: 0.000030 loss_vfl: 0.949369 loss_bbox: 0.431653 loss_dfl: 0.413078 loss: 1.830501 eta: 0:15:54 batch_cost: 0.9201 data_cost: 0.0086 ips: 60.8599 images/s [03/19 10:59:36] ppdet.engine INFO: Epoch: [298] [ 40/523] learning_rate: 0.000029 loss_vfl: 0.942563 loss_bbox: 0.405051 loss_dfl: 0.404052 loss: 1.750828 eta: 0:15:35 batch_cost: 0.9247 data_cost: 0.0054 ips: 60.5614 images/s [03/19 11:00:01] ppdet.engine INFO: Epoch: [298] [ 60/523] learning_rate: 0.000027 loss_vfl: 0.967218 loss_bbox: 0.407266 loss_dfl: 0.405395 loss: 1.793616 eta: 0:15:17 batch_cost: 1.0753 data_cost: 0.1783 ips: 52.0796 images/s [03/19 11:00:24] ppdet.engine INFO: Epoch: [298] [ 80/523] learning_rate: 0.000026 loss_vfl: 0.955541 loss_bbox: 0.428008 loss_dfl: 0.408216 loss: 1.798456 eta: 0:14:58 batch_cost: 1.0190 data_cost: 0.2949 ips: 54.9539 images/s [03/19 11:00:43] ppdet.engine INFO: Epoch: [298] [100/523] learning_rate: 0.000025 loss_vfl: 0.929763 loss_bbox: 0.415756 loss_dfl: 0.396843 loss: 1.750331 eta: 0:14:40 batch_cost: 0.8654 data_cost: 0.1705 ips: 64.7113 images/s [03/19 11:01:01] ppdet.engine INFO: Epoch: [298] [120/523] learning_rate: 0.000024 loss_vfl: 1.000845 loss_bbox: 0.445517 loss_dfl: 0.424069 loss: 1.894940 eta: 0:14:21 batch_cost: 0.7467 data_cost: 0.0839 ips: 74.9997 images/s [03/19 11:01:21] ppdet.engine INFO: Epoch: [298] [140/523] learning_rate: 0.000023 loss_vfl: 0.982409 loss_bbox: 0.439930 loss_dfl: 0.416117 loss: 1.846168 eta: 0:14:02 batch_cost: 0.8564 data_cost: 0.0545 ips: 65.3932 images/s [03/19 11:01:46] ppdet.engine INFO: Epoch: [298] [160/523] learning_rate: 0.000022 loss_vfl: 0.995088 loss_bbox: 0.451655 loss_dfl: 0.431780 loss: 1.889147 eta: 0:13:44 batch_cost: 1.0469 data_cost: 0.1416 ips: 53.4931 images/s [03/19 11:02:08] ppdet.engine INFO: Epoch: [298] [180/523] learning_rate: 0.000021 loss_vfl: 0.950298 loss_bbox: 0.442769 loss_dfl: 0.412031 loss: 1.806955 eta: 0:13:25 batch_cost: 0.9039 data_cost: 0.0014 ips: 61.9564 images/s [03/19 11:02:32] ppdet.engine INFO: Epoch: [298] [200/523] learning_rate: 0.000020 loss_vfl: 0.968911 loss_bbox: 0.424738 loss_dfl: 0.417692 loss: 1.825131 eta: 0:13:07 batch_cost: 1.0220 data_cost: 0.0015 ips: 54.7963 images/s [03/19 11:02:55] ppdet.engine INFO: Epoch: [298] [220/523] learning_rate: 0.000019 loss_vfl: 0.994137 loss_bbox: 0.442351 loss_dfl: 0.413868 loss: 1.863657 eta: 0:12:48 batch_cost: 1.0142 data_cost: 0.0031 ips: 55.2161 images/s [03/19 11:03:16] ppdet.engine INFO: Epoch: [298] [240/523] learning_rate: 0.000018 loss_vfl: 1.015282 loss_bbox: 0.469921 loss_dfl: 0.450745 loss: 1.929245 eta: 0:12:29 batch_cost: 0.8962 data_cost: 0.0026 ips: 62.4849 images/s [03/19 11:03:39] ppdet.engine INFO: Epoch: [298] [260/523] learning_rate: 0.000017 loss_vfl: 0.963843 loss_bbox: 0.432375 loss_dfl: 0.415838 loss: 1.806029 eta: 0:12:11 batch_cost: 0.9952 data_cost: 0.1305 ips: 56.2707 images/s [03/19 11:04:00] ppdet.engine INFO: Epoch: [298] [280/523] learning_rate: 0.000017 loss_vfl: 1.032080 loss_bbox: 0.438547 loss_dfl: 0.425208 loss: 1.907706 eta: 0:11:52 batch_cost: 0.9485 data_cost: 0.2359 ips: 59.0415 images/s [03/19 11:04:23] ppdet.engine INFO: Epoch: [298] [300/523] learning_rate: 0.000016 loss_vfl: 1.006936 loss_bbox: 0.480263 loss_dfl: 0.454676 loss: 1.950368 eta: 0:11:34 batch_cost: 0.9067 data_cost: 0.2042 ips: 61.7595 images/s [03/19 11:04:44] ppdet.engine INFO: Epoch: [298] [320/523] learning_rate: 0.000015 loss_vfl: 0.937499 loss_bbox: 0.418710 loss_dfl: 0.398188 loss: 1.728813 eta: 0:11:15 batch_cost: 0.9117 data_cost: 0.1914 ips: 61.4246 images/s [03/19 11:05:06] ppdet.engine INFO: Epoch: [298] [340/523] learning_rate: 0.000014 loss_vfl: 0.998183 loss_bbox: 0.440585 loss_dfl: 0.412675 loss: 1.848591 eta: 0:10:56 batch_cost: 1.0060 data_cost: 0.2711 ips: 55.6663 images/s [03/19 11:05:26] ppdet.engine INFO: Epoch: [298] [360/523] learning_rate: 0.000013 loss_vfl: 0.967028 loss_bbox: 0.418422 loss_dfl: 0.405895 loss: 1.784829 eta: 0:10:38 batch_cost: 0.8514 data_cost: 0.0523 ips: 65.7778 images/s [03/19 11:05:44] ppdet.engine INFO: Epoch: [298] [380/523] learning_rate: 0.000012 loss_vfl: 0.964742 loss_bbox: 0.423172 loss_dfl: 0.403763 loss: 1.791123 eta: 0:10:19 batch_cost: 0.7452 data_cost: 0.0039 ips: 75.1473 images/s [03/19 11:06:10] ppdet.engine INFO: Epoch: [298] [400/523] learning_rate: 0.000012 loss_vfl: 0.970886 loss_bbox: 0.440972 loss_dfl: 0.414424 loss: 1.825645 eta: 0:10:01 batch_cost: 1.1431 data_cost: 0.4437 ips: 48.9898 images/s [03/19 11:06:29] ppdet.engine INFO: Epoch: [298] [420/523] learning_rate: 0.000011 loss_vfl: 0.940428 loss_bbox: 0.419142 loss_dfl: 0.394093 loss: 1.757522 eta: 0:09:42 batch_cost: 0.7825 data_cost: 0.0113 ips: 71.5630 images/s [03/19 11:06:51] ppdet.engine INFO: Epoch: [298] [440/523] learning_rate: 0.000010 loss_vfl: 0.951335 loss_bbox: 0.419694 loss_dfl: 0.394672 loss: 1.764211 eta: 0:09:23 batch_cost: 0.9292 data_cost: 0.0553 ips: 60.2676 images/s [03/19 11:07:13] ppdet.engine INFO: Epoch: [298] [460/523] learning_rate: 0.000010 loss_vfl: 0.970581 loss_bbox: 0.416865 loss_dfl: 0.407277 loss: 1.822836 eta: 0:09:05 batch_cost: 0.9683 data_cost: 0.1026 ips: 57.8319 images/s [03/19 11:07:35] ppdet.engine INFO: Epoch: [298] [480/523] learning_rate: 0.000009 loss_vfl: 0.958645 loss_bbox: 0.419355 loss_dfl: 0.407635 loss: 1.780809 eta: 0:08:46 batch_cost: 0.8888 data_cost: 0.1024 ips: 63.0060 images/s [03/19 11:08:00] ppdet.engine INFO: Epoch: [298] [500/523] learning_rate: 0.000008 loss_vfl: 0.942328 loss_bbox: 0.405765 loss_dfl: 0.399768 loss: 1.767692 eta: 0:08:27 batch_cost: 1.0158 data_cost: 0.0042 ips: 55.1311 images/s [03/19 11:08:17] ppdet.engine INFO: Epoch: [298] [520/523] learning_rate: 0.000008 loss_vfl: 0.958522 loss_bbox: 0.413657 loss_dfl: 0.399292 loss: 1.792808 eta: 0:08:09 batch_cost: 0.7022 data_cost: 0.0011 ips: 79.7491 images/s [03/19 11:08:30] ppdet.engine INFO: Epoch: [299] [ 0/523] learning_rate: 0.000008 loss_vfl: 0.979770 loss_bbox: 0.417139 loss_dfl: 0.404196 loss: 1.815122 eta: 0:08:06 batch_cost: 1.1346 data_cost: 0.3626 ips: 49.3562 images/s [03/19 11:08:52] ppdet.engine INFO: Epoch: [299] [ 20/523] learning_rate: 0.000007 loss_vfl: 0.956055 loss_bbox: 0.439106 loss_dfl: 0.408971 loss: 1.805040 eta: 0:07:47 batch_cost: 0.8753 data_cost: 0.0052 ips: 63.9790 images/s [03/19 11:09:15] ppdet.engine INFO: Epoch: [299] [ 40/523] learning_rate: 0.000007 loss_vfl: 1.004429 loss_bbox: 0.449158 loss_dfl: 0.429180 loss: 1.880478 eta: 0:07:29 batch_cost: 1.0360 data_cost: 0.2106 ips: 54.0537 images/s [03/19 11:09:37] ppdet.engine INFO: Epoch: [299] [ 60/523] learning_rate: 0.000006 loss_vfl: 0.957072 loss_bbox: 0.445934 loss_dfl: 0.423337 loss: 1.837832 eta: 0:07:10 batch_cost: 0.9635 data_cost: 0.2714 ips: 58.1243 images/s [03/19 11:09:56] ppdet.engine INFO: Epoch: [299] [ 80/523] learning_rate: 0.000006 loss_vfl: 0.959086 loss_bbox: 0.427628 loss_dfl: 0.416751 loss: 1.794613 eta: 0:06:52 batch_cost: 0.8413 data_cost: 0.0949 ips: 66.5639 images/s [03/19 11:10:13] ppdet.engine INFO: Epoch: [299] [100/523] learning_rate: 0.000005 loss_vfl: 0.931003 loss_bbox: 0.445700 loss_dfl: 0.412929 loss: 1.790677 eta: 0:06:33 batch_cost: 0.6960 data_cost: 0.0067 ips: 80.4584 images/s [03/19 11:10:34] ppdet.engine INFO: Epoch: [299] [120/523] learning_rate: 0.000005 loss_vfl: 0.940014 loss_bbox: 0.427822 loss_dfl: 0.407706 loss: 1.772778 eta: 0:06:14 batch_cost: 0.8919 data_cost: 0.1162 ips: 62.7838 images/s [03/19 11:10:56] ppdet.engine INFO: Epoch: [299] [140/523] learning_rate: 0.000004 loss_vfl: 0.917253 loss_bbox: 0.416102 loss_dfl: 0.397028 loss: 1.732027 eta: 0:05:56 batch_cost: 0.8615 data_cost: 0.0358 ips: 65.0010 images/s [03/19 11:11:16] ppdet.engine INFO: Epoch: [299] [160/523] learning_rate: 0.000004 loss_vfl: 0.987447 loss_bbox: 0.440867 loss_dfl: 0.434978 loss: 1.861101 eta: 0:05:37 batch_cost: 0.8526 data_cost: 0.0379 ips: 65.6814 images/s [03/19 11:11:41] ppdet.engine INFO: Epoch: [299] [180/523] learning_rate: 0.000003 loss_vfl: 1.006674 loss_bbox: 0.451183 loss_dfl: 0.425012 loss: 1.898285 eta: 0:05:19 batch_cost: 1.0479 data_cost: 0.0015 ips: 53.4409 images/s [03/19 11:12:01] ppdet.engine INFO: Epoch: [299] [200/523] learning_rate: 0.000003 loss_vfl: 0.953009 loss_bbox: 0.431306 loss_dfl: 0.398493 loss: 1.758751 eta: 0:05:00 batch_cost: 0.8920 data_cost: 0.0044 ips: 62.7821 images/s [03/19 11:12:23] ppdet.engine INFO: Epoch: [299] [220/523] learning_rate: 0.000003 loss_vfl: 1.010999 loss_bbox: 0.451872 loss_dfl: 0.442214 loss: 1.885234 eta: 0:04:41 batch_cost: 0.9372 data_cost: 0.0044 ips: 59.7516 images/s [03/19 11:12:46] ppdet.engine INFO: Epoch: [299] [240/523] learning_rate: 0.000002 loss_vfl: 1.032753 loss_bbox: 0.463937 loss_dfl: 0.429061 loss: 1.925498 eta: 0:04:23 batch_cost: 1.0124 data_cost: 0.0062 ips: 55.3128 images/s [03/19 11:13:08] ppdet.engine INFO: Epoch: [299] [260/523] learning_rate: 0.000002 loss_vfl: 0.981292 loss_bbox: 0.448199 loss_dfl: 0.428050 loss: 1.887170 eta: 0:04:04 batch_cost: 0.9188 data_cost: 0.0115 ips: 60.9469 images/s [03/19 11:13:30] ppdet.engine INFO: Epoch: [299] [280/523] learning_rate: 0.000002 loss_vfl: 0.906711 loss_bbox: 0.405439 loss_dfl: 0.387155 loss: 1.694785 eta: 0:03:46 batch_cost: 0.9347 data_cost: 0.1932 ips: 59.9151 images/s [03/19 11:13:52] ppdet.engine INFO: Epoch: [299] [300/523] learning_rate: 0.000001 loss_vfl: 0.965746 loss_bbox: 0.424753 loss_dfl: 0.416674 loss: 1.819633 eta: 0:03:27 batch_cost: 0.9431 data_cost: 0.0875 ips: 59.3784 images/s [03/19 11:14:13] ppdet.engine INFO: Epoch: [299] [320/523] learning_rate: 0.000001 loss_vfl: 0.915658 loss_bbox: 0.421416 loss_dfl: 0.394151 loss: 1.714397 eta: 0:03:08 batch_cost: 0.9583 data_cost: 0.0049 ips: 58.4386 images/s [03/19 11:14:32] ppdet.engine INFO: Epoch: [299] [340/523] learning_rate: 0.000001 loss_vfl: 0.968795 loss_bbox: 0.429110 loss_dfl: 0.409455 loss: 1.797345 eta: 0:02:50 batch_cost: 0.8625 data_cost: 0.0052 ips: 64.9300 images/s [03/19 11:14:50] ppdet.engine INFO: Epoch: [299] [360/523] learning_rate: 0.000001 loss_vfl: 0.957109 loss_bbox: 0.445106 loss_dfl: 0.414279 loss: 1.817974 eta: 0:02:31 batch_cost: 0.7930 data_cost: 0.0010 ips: 70.6191 images/s [03/19 11:15:11] ppdet.engine INFO: Epoch: [299] [380/523] learning_rate: 0.000001 loss_vfl: 0.976156 loss_bbox: 0.443579 loss_dfl: 0.416843 loss: 1.830510 eta: 0:02:13 batch_cost: 0.9309 data_cost: 0.0095 ips: 60.1549 images/s [03/19 11:15:32] ppdet.engine INFO: Epoch: [299] [400/523] learning_rate: 0.000000 loss_vfl: 0.970088 loss_bbox: 0.416942 loss_dfl: 0.411009 loss: 1.821293 eta: 0:01:54 batch_cost: 0.8974 data_cost: 0.0072 ips: 62.3995 images/s [03/19 11:15:54] ppdet.engine INFO: Epoch: [299] [420/523] learning_rate: 0.000000 loss_vfl: 0.987091 loss_bbox: 0.439761 loss_dfl: 0.428319 loss: 1.867817 eta: 0:01:35 batch_cost: 0.9292 data_cost: 0.0105 ips: 60.2680 images/s [03/19 11:16:15] ppdet.engine INFO: Epoch: [299] [440/523] learning_rate: 0.000000 loss_vfl: 0.894302 loss_bbox: 0.395408 loss_dfl: 0.390379 loss: 1.677920 eta: 0:01:17 batch_cost: 0.9161 data_cost: 0.0030 ips: 61.1261 images/s [03/19 11:16:36] ppdet.engine INFO: Epoch: [299] [460/523] learning_rate: 0.000000 loss_vfl: 0.948441 loss_bbox: 0.444528 loss_dfl: 0.419496 loss: 1.799055 eta: 0:00:58 batch_cost: 0.9825 data_cost: 0.0034 ips: 56.9976 images/s [03/19 11:16:58] ppdet.engine INFO: Epoch: [299] [480/523] learning_rate: 0.000000 loss_vfl: 0.980097 loss_bbox: 0.432905 loss_dfl: 0.416003 loss: 1.848543 eta: 0:00:40 batch_cost: 0.9651 data_cost: 0.0098 ips: 58.0230 images/s [03/19 11:17:19] ppdet.engine INFO: Epoch: [299] [500/523] learning_rate: 0.000000 loss_vfl: 0.962805 loss_bbox: 0.432591 loss_dfl: 0.407133 loss: 1.790817 eta: 0:00:21 batch_cost: 0.8627 data_cost: 0.0061 ips: 64.9139 images/s [03/19 11:17:38] ppdet.engine INFO: Epoch: [299] [520/523] learning_rate: 0.000000 loss_vfl: 0.950833 loss_bbox: 0.433467 loss_dfl: 0.410560 loss: 1.811549 eta: 0:00:02 batch_cost: 0.8253 data_cost: 0.1097 ips: 67.8539 images/s [03/19 11:17:40] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_xs_416_coco [03/19 11:17:41] ppdet.engine INFO: Eval iter: 0 [03/19 11:17:57] ppdet.engine INFO: Eval iter: 100 [03/19 11:18:07] ppdet.engine INFO: Eval iter: 200 [03/19 11:18:16] ppdet.engine INFO: Eval iter: 300 [03/19 11:18:26] ppdet.engine INFO: Eval iter: 400 [03/19 11:18:35] ppdet.engine INFO: Eval iter: 500 [03/19 11:18:45] ppdet.engine INFO: Eval iter: 600 [03/19 11:18:59] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.85s) creating index... index created! [03/19 11:19:00] 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=85.52s). Accumulating evaluation results... DONE (t=16.64s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.262 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.393 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.277 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.084 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.438 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.256 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.411 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.438 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.164 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.486 INFO 2022-03-19 11:20:54,359 launch.py:311] Local processes completed. Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.690 [03/19 11:20:49] ppdet.engine INFO: Total sample number: 4952, averge FPS: 73.66267660670624 [03/19 11:20:49] ppdet.engine INFO: Best test bbox ap is 0.262.