/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 2021-10-14 22:38:40,611 launch.py:359] Not found distinct arguments and compiled with cuda or xpu. Default use collective mode INFO 2021-10-14 22:38:40,612 launch_utils.py:621] 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 2021-10-14 22:38:40,614 launch_utils.py:510] Local start 4 processes. First process distributed environment info (Only For Debug): +=======================================================================================+ | Distributed Envs Value | +---------------------------------------------------------------------------------------+ | PADDLE_TRAINER_ID 0 | | PADDLE_CURRENT_ENDPOINT 127.0.0.1:60011 | | PADDLE_TRAINERS_NUM 4 | | PADDLE_TRAINER_ENDPOINTS ... 0.1:60012,127.0.0.1:60013,127.0.0.1:60014| | 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 2021-10-14 22:38:40,614 launch_utils.py:514] details abouts PADDLE_TRAINER_ENDPOINTS can be found in log/endpoints.log, and detail running logs maybe found in log/workerlog.0 ----------- Configuration Arguments ----------- gpus: 0,1,2,3 heter_worker_num: None heter_workers: http_port: None ips: 127.0.0.1 log_dir: log nproc_per_node: None run_mode: None server_num: None servers: training_script: tools/train.py training_script_args: ['-c', 'configs/picodet/picodet_s_320_coco.yml', '--eval'] worker_num: None workers: ------------------------------------------------ launch train in GPU mode! launch proc_id:4380 idx:0 launch proc_id:4383 idx:1 launch proc_id:4386 idx:2 launch proc_id:4389 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 W1014 22:38:44.157593 4380 gen_comm_id_helper.cc:120] connect addr=127.0.0.1:60012 failed 1 times with reason: Connection refused retry after 0.5 seconds I1014 22:38:44.658303 4380 nccl_context.cc:74] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0 W1014 22:38:45.146411 4380 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2 W1014 22:38:45.151670 4380 device_context.cc:422] device: 0, cuDNN Version: 7.6. loading annotations into memory... Done (t=21.43s) creating index... index created! [10/14 22:39:20] 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. [10/14 22:39:37] 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. [10/14 22:39:47] ppdet.utils.checkpoint INFO: ['_fc.bias', '_fc.weight', '_last_conv._batch_norm._mean', '_last_conv._batch_norm._variance', '_last_conv._batch_norm.bias', '_last_conv._batch_norm.weight', '_last_conv._conv.weight', 'last_conv.weight'] in pretrained weight is not used in the model, and its will not be loaded [10/14 22:39:47] ppdet.utils.checkpoint INFO: Finish loading model weights: shufflenetv2_s_pretrained_arch_89.pdparams [10/14 22:40:02] ppdet.engine INFO: Epoch: [0] [ 0/229] learning_rate: 0.040000 loss_vfl: 1.154118 loss_bbox: 1.236484 loss_dfl: 0.572617 loss: 2.963219 eta: 11 days, 18:15:02 batch_cost: 14.7904 data_cost: 5.9357 ips: 8.6542 images/s [10/14 22:41:15] ppdet.engine INFO: Epoch: [0] [ 20/229] learning_rate: 0.064000 loss_vfl: 1.153567 loss_bbox: 1.080758 loss_dfl: 0.475181 loss: 2.676970 eta: 3 days, 4:38:35 batch_cost: 3.4788 data_cost: 0.0032 ips: 36.7947 images/s [10/14 22:42:25] ppdet.engine INFO: Epoch: [0] [ 40/229] learning_rate: 0.088000 loss_vfl: 1.069957 loss_bbox: 0.853355 loss_dfl: 0.387457 loss: 2.321237 eta: 2 days, 22:08:48 batch_cost: 3.3215 data_cost: 0.0029 ips: 38.5364 images/s [10/14 22:43:34] ppdet.engine INFO: Epoch: [0] [ 60/229] learning_rate: 0.112000 loss_vfl: 1.076590 loss_bbox: 0.773333 loss_dfl: 0.361283 loss: 2.203798 eta: 2 days, 19:52:00 batch_cost: 3.3165 data_cost: 0.0024 ips: 38.5949 images/s [10/14 22:44:45] ppdet.engine INFO: Epoch: [0] [ 80/229] learning_rate: 0.136000 loss_vfl: 1.067859 loss_bbox: 0.684643 loss_dfl: 0.335069 loss: 2.059404 eta: 2 days, 19:03:16 batch_cost: 3.3910 data_cost: 0.0025 ips: 37.7465 images/s [10/14 22:45:55] ppdet.engine INFO: Epoch: [0] [100/229] learning_rate: 0.160000 loss_vfl: 1.128278 loss_bbox: 0.658189 loss_dfl: 0.338180 loss: 2.122232 eta: 2 days, 18:34:29 batch_cost: 3.3959 data_cost: 0.0023 ips: 37.6923 images/s [10/14 22:47:05] ppdet.engine INFO: Epoch: [0] [120/229] learning_rate: 0.184000 loss_vfl: 1.126591 loss_bbox: 0.563809 loss_dfl: 0.289378 loss: 1.988950 eta: 2 days, 18:05:41 batch_cost: 3.3475 data_cost: 0.0024 ips: 38.2379 images/s [10/14 22:48:16] ppdet.engine INFO: Epoch: [0] [140/229] learning_rate: 0.208000 loss_vfl: 1.152430 loss_bbox: 0.607091 loss_dfl: 0.314543 loss: 2.060769 eta: 2 days, 17:56:39 batch_cost: 3.4210 data_cost: 0.0023 ips: 37.4165 images/s [10/14 22:49:26] ppdet.engine INFO: Epoch: [0] [160/229] learning_rate: 0.232000 loss_vfl: 1.140720 loss_bbox: 0.571550 loss_dfl: 0.292310 loss: 1.998616 eta: 2 days, 17:34:34 batch_cost: 3.3152 data_cost: 0.0023 ips: 38.6102 images/s [10/14 22:50:34] ppdet.engine INFO: Epoch: [0] [180/229] learning_rate: 0.256000 loss_vfl: 1.125924 loss_bbox: 0.539965 loss_dfl: 0.288562 loss: 1.961454 eta: 2 days, 17:12:48 batch_cost: 3.2809 data_cost: 0.0024 ips: 39.0140 images/s [10/14 22:51:41] ppdet.engine INFO: Epoch: [0] [200/229] learning_rate: 0.280000 loss_vfl: 1.104837 loss_bbox: 0.540557 loss_dfl: 0.284401 loss: 1.933362 eta: 2 days, 16:44:58 batch_cost: 3.1914 data_cost: 0.0024 ips: 40.1077 images/s [10/14 22:52:50] ppdet.engine INFO: Epoch: [0] [220/229] learning_rate: 0.304000 loss_vfl: 1.110934 loss_bbox: 0.529289 loss_dfl: 0.273501 loss: 1.914755 eta: 2 days, 16:34:23 batch_cost: 3.3114 data_cost: 0.0023 ips: 38.6548 images/s [10/14 22:53:45] ppdet.engine INFO: Epoch: [1] [ 0/229] learning_rate: 0.314800 loss_vfl: 1.106048 loss_bbox: 0.538824 loss_dfl: 0.282000 loss: 1.929400 eta: 2 days, 18:18:18 batch_cost: 4.3796 data_cost: 0.5452 ips: 29.2265 images/s [10/14 22:54:56] ppdet.engine INFO: Epoch: [1] [ 20/229] learning_rate: 0.338800 loss_vfl: 1.131304 loss_bbox: 0.501292 loss_dfl: 0.271226 loss: 1.911713 eta: 2 days, 18:11:13 batch_cost: 3.4213 data_cost: 0.0024 ips: 37.4131 images/s [10/14 22:56:06] ppdet.engine INFO: Epoch: [1] [ 40/229] learning_rate: 0.362800 loss_vfl: 1.101874 loss_bbox: 0.493193 loss_dfl: 0.258245 loss: 1.847359 eta: 2 days, 17:59:58 batch_cost: 3.3615 data_cost: 0.0024 ips: 38.0779 images/s [10/14 22:57:17] ppdet.engine INFO: Epoch: [1] [ 60/229] learning_rate: 0.386800 loss_vfl: 1.113167 loss_bbox: 0.509262 loss_dfl: 0.261693 loss: 1.887700 eta: 2 days, 17:52:30 batch_cost: 3.3919 data_cost: 0.0024 ips: 37.7367 images/s [10/14 22:58:27] ppdet.engine INFO: Epoch: [1] [ 80/229] learning_rate: 0.399980 loss_vfl: 1.095311 loss_bbox: 0.494896 loss_dfl: 0.266621 loss: 1.886971 eta: 2 days, 17:42:41 batch_cost: 3.3488 data_cost: 0.0023 ips: 38.2227 images/s [10/14 22:59:37] ppdet.engine INFO: Epoch: [1] [100/229] learning_rate: 0.399977 loss_vfl: 1.096677 loss_bbox: 0.478378 loss_dfl: 0.254145 loss: 1.820907 eta: 2 days, 17:34:47 batch_cost: 3.3613 data_cost: 0.0024 ips: 38.0807 images/s [10/14 23:00:47] ppdet.engine INFO: Epoch: [1] [120/229] learning_rate: 0.399975 loss_vfl: 1.095680 loss_bbox: 0.483614 loss_dfl: 0.256665 loss: 1.823930 eta: 2 days, 17:26:51 batch_cost: 3.3489 data_cost: 0.0023 ips: 38.2217 images/s [10/14 23:01:56] ppdet.engine INFO: Epoch: [1] [140/229] learning_rate: 0.399972 loss_vfl: 1.097180 loss_bbox: 0.478596 loss_dfl: 0.264846 loss: 1.839921 eta: 2 days, 17:18:22 batch_cost: 3.3279 data_cost: 0.0024 ips: 38.4626 images/s [10/14 23:03:06] ppdet.engine INFO: Epoch: [1] [160/229] learning_rate: 0.399968 loss_vfl: 1.073611 loss_bbox: 0.482247 loss_dfl: 0.256738 loss: 1.814051 eta: 2 days, 17:12:51 batch_cost: 3.3658 data_cost: 0.0023 ips: 38.0300 images/s [10/14 23:04:18] ppdet.engine INFO: Epoch: [1] [180/229] learning_rate: 0.399965 loss_vfl: 1.067383 loss_bbox: 0.465088 loss_dfl: 0.253699 loss: 1.777235 eta: 2 days, 17:10:37 batch_cost: 3.4171 data_cost: 0.0023 ips: 37.4582 images/s [10/14 23:05:27] ppdet.engine INFO: Epoch: [1] [200/229] learning_rate: 0.399962 loss_vfl: 1.075513 loss_bbox: 0.460616 loss_dfl: 0.251008 loss: 1.777238 eta: 2 days, 17:04:42 batch_cost: 3.3455 data_cost: 0.0023 ips: 38.2598 images/s [10/14 23:06:35] ppdet.engine INFO: Epoch: [1] [220/229] learning_rate: 0.399958 loss_vfl: 1.077709 loss_bbox: 0.455322 loss_dfl: 0.249638 loss: 1.777856 eta: 2 days, 16:53:08 batch_cost: 3.2255 data_cost: 0.0023 ips: 39.6834 images/s [10/14 23:07:31] ppdet.engine INFO: Epoch: [2] [ 0/229] learning_rate: 0.399956 loss_vfl: 1.077044 loss_bbox: 0.476312 loss_dfl: 0.261581 loss: 1.810775 eta: 2 days, 17:44:49 batch_cost: 4.2932 data_cost: 0.4622 ips: 29.8149 images/s [10/14 23:08:42] ppdet.engine INFO: Epoch: [2] [ 20/229] learning_rate: 0.399952 loss_vfl: 1.066829 loss_bbox: 0.431181 loss_dfl: 0.232887 loss: 1.719933 eta: 2 days, 17:41:29 batch_cost: 3.4225 data_cost: 0.0024 ips: 37.3992 images/s [10/14 23:09:53] ppdet.engine INFO: Epoch: [2] [ 40/229] learning_rate: 0.399948 loss_vfl: 1.070546 loss_bbox: 0.452883 loss_dfl: 0.251008 loss: 1.783254 eta: 2 days, 17:37:16 batch_cost: 3.3996 data_cost: 0.0023 ips: 37.6514 images/s [10/14 23:11:03] ppdet.engine INFO: Epoch: [2] [ 60/229] learning_rate: 0.399944 loss_vfl: 1.051135 loss_bbox: 0.460309 loss_dfl: 0.250592 loss: 1.756801 eta: 2 days, 17:30:31 batch_cost: 3.3359 data_cost: 0.0023 ips: 38.3703 images/s [10/14 23:12:12] ppdet.engine INFO: Epoch: [2] [ 80/229] learning_rate: 0.399939 loss_vfl: 1.054111 loss_bbox: 0.439603 loss_dfl: 0.238182 loss: 1.748405 eta: 2 days, 17:22:26 batch_cost: 3.2944 data_cost: 0.0024 ips: 38.8542 images/s [10/14 23:13:23] ppdet.engine INFO: Epoch: [2] [100/229] learning_rate: 0.399935 loss_vfl: 1.019420 loss_bbox: 0.448880 loss_dfl: 0.244143 loss: 1.724870 eta: 2 days, 17:19:05 batch_cost: 3.3986 data_cost: 0.0025 ips: 37.6630 images/s [10/14 23:14:35] ppdet.engine INFO: Epoch: [2] [120/229] learning_rate: 0.399930 loss_vfl: 1.054748 loss_bbox: 0.451790 loss_dfl: 0.248082 loss: 1.783704 eta: 2 days, 17:18:47 batch_cost: 3.4724 data_cost: 0.0025 ips: 36.8619 images/s [10/14 23:15:45] ppdet.engine INFO: Epoch: [2] [140/229] learning_rate: 0.399925 loss_vfl: 1.046492 loss_bbox: 0.471390 loss_dfl: 0.256335 loss: 1.769330 eta: 2 days, 17:13:51 batch_cost: 3.3518 data_cost: 0.0025 ips: 38.1890 images/s [10/14 23:16:56] ppdet.engine INFO: Epoch: [2] [160/229] learning_rate: 0.399920 loss_vfl: 1.046673 loss_bbox: 0.451559 loss_dfl: 0.246096 loss: 1.737319 eta: 2 days, 17:11:36 batch_cost: 3.4183 data_cost: 0.0024 ips: 37.4460 images/s [10/14 23:18:07] ppdet.engine INFO: Epoch: [2] [180/229] learning_rate: 0.399915 loss_vfl: 1.044719 loss_bbox: 0.441537 loss_dfl: 0.238268 loss: 1.687112 eta: 2 days, 17:07:50 batch_cost: 3.3738 data_cost: 0.0023 ips: 37.9396 images/s [10/14 23:19:18] ppdet.engine INFO: Epoch: [2] [200/229] learning_rate: 0.399909 loss_vfl: 1.037177 loss_bbox: 0.431976 loss_dfl: 0.240428 loss: 1.718596 eta: 2 days, 17:05:47 batch_cost: 3.4185 data_cost: 0.0026 ips: 37.4434 images/s [10/14 23:20:25] ppdet.engine INFO: Epoch: [2] [220/229] learning_rate: 0.399904 loss_vfl: 1.036644 loss_bbox: 0.434008 loss_dfl: 0.242857 loss: 1.700514 eta: 2 days, 16:56:39 batch_cost: 3.2053 data_cost: 0.0024 ips: 39.9339 images/s [10/14 23:21:17] ppdet.engine INFO: Epoch: [3] [ 0/229] learning_rate: 0.399901 loss_vfl: 1.045100 loss_bbox: 0.439934 loss_dfl: 0.249024 loss: 1.728582 eta: 2 days, 17:24:27 batch_cost: 4.0715 data_cost: 0.5570 ips: 31.4377 images/s [10/14 23:22:29] ppdet.engine INFO: Epoch: [3] [ 20/229] learning_rate: 0.399895 loss_vfl: 1.031917 loss_bbox: 0.430282 loss_dfl: 0.234342 loss: 1.691358 eta: 2 days, 17:22:55 batch_cost: 3.4499 data_cost: 0.0025 ips: 37.1025 images/s [10/14 23:23:41] ppdet.engine INFO: Epoch: [3] [ 40/229] learning_rate: 0.399889 loss_vfl: 1.040890 loss_bbox: 0.437292 loss_dfl: 0.239068 loss: 1.737086 eta: 2 days, 17:21:22 batch_cost: 3.4491 data_cost: 0.0025 ips: 37.1110 images/s [10/14 23:24:54] ppdet.engine INFO: Epoch: [3] [ 60/229] learning_rate: 0.399883 loss_vfl: 1.038182 loss_bbox: 0.439498 loss_dfl: 0.245208 loss: 1.735868 eta: 2 days, 17:21:52 batch_cost: 3.5163 data_cost: 0.0026 ips: 36.4018 images/s [10/14 23:26:05] ppdet.engine INFO: Epoch: [3] [ 80/229] learning_rate: 0.399877 loss_vfl: 1.022864 loss_bbox: 0.437305 loss_dfl: 0.241745 loss: 1.711546 eta: 2 days, 17:19:01 batch_cost: 3.4055 data_cost: 0.0023 ips: 37.5864 images/s [10/14 23:27:16] ppdet.engine INFO: Epoch: [3] [100/229] learning_rate: 0.399870 loss_vfl: 1.006980 loss_bbox: 0.431724 loss_dfl: 0.242755 loss: 1.689698 eta: 2 days, 17:15:05 batch_cost: 3.3645 data_cost: 0.0026 ips: 38.0439 images/s [10/14 23:28:27] ppdet.engine INFO: Epoch: [3] [120/229] learning_rate: 0.399864 loss_vfl: 1.017939 loss_bbox: 0.438461 loss_dfl: 0.236996 loss: 1.690855 eta: 2 days, 17:13:03 batch_cost: 3.4275 data_cost: 0.0025 ips: 37.3449 images/s [10/14 23:29:40] ppdet.engine INFO: Epoch: [3] [140/229] learning_rate: 0.399857 loss_vfl: 1.018770 loss_bbox: 0.426001 loss_dfl: 0.231072 loss: 1.679408 eta: 2 days, 17:12:28 batch_cost: 3.4788 data_cost: 0.0025 ips: 36.7943 images/s [10/14 23:30:49] ppdet.engine INFO: Epoch: [3] [160/229] learning_rate: 0.399850 loss_vfl: 1.016634 loss_bbox: 0.420337 loss_dfl: 0.242715 loss: 1.687519 eta: 2 days, 17:07:17 batch_cost: 3.3073 data_cost: 0.0024 ips: 38.7025 images/s [10/14 23:31:59] ppdet.engine INFO: Epoch: [3] [180/229] learning_rate: 0.399843 loss_vfl: 1.016007 loss_bbox: 0.433762 loss_dfl: 0.236592 loss: 1.677337 eta: 2 days, 17:03:12 batch_cost: 3.3427 data_cost: 0.0024 ips: 38.2920 images/s [10/14 23:33:08] ppdet.engine INFO: Epoch: [3] [200/229] learning_rate: 0.399835 loss_vfl: 1.031271 loss_bbox: 0.424328 loss_dfl: 0.235482 loss: 1.677889 eta: 2 days, 16:58:14 batch_cost: 3.3028 data_cost: 0.0026 ips: 38.7548 images/s [10/14 23:34:14] ppdet.engine INFO: Epoch: [3] [220/229] learning_rate: 0.399828 loss_vfl: 1.010739 loss_bbox: 0.445461 loss_dfl: 0.243085 loss: 1.689252 eta: 2 days, 16:49:46 batch_cost: 3.1551 data_cost: 0.0024 ips: 40.5694 images/s [10/14 23:35:08] ppdet.engine INFO: Epoch: [4] [ 0/229] learning_rate: 0.399825 loss_vfl: 1.007350 loss_bbox: 0.425433 loss_dfl: 0.237826 loss: 1.685356 eta: 2 days, 17:12:56 batch_cost: 4.1557 data_cost: 0.5057 ips: 30.8010 images/s [10/14 23:36:21] ppdet.engine INFO: Epoch: [4] [ 20/229] learning_rate: 0.399817 loss_vfl: 1.013533 loss_bbox: 0.423608 loss_dfl: 0.234768 loss: 1.692026 eta: 2 days, 17:12:27 batch_cost: 3.4915 data_cost: 0.0037 ips: 36.6609 images/s [10/14 23:37:33] ppdet.engine INFO: Epoch: [4] [ 40/229] learning_rate: 0.399809 loss_vfl: 1.010756 loss_bbox: 0.413379 loss_dfl: 0.231779 loss: 1.652492 eta: 2 days, 17:10:56 batch_cost: 3.4485 data_cost: 0.0034 ips: 37.1173 images/s [10/14 23:38:44] ppdet.engine INFO: Epoch: [4] [ 60/229] learning_rate: 0.399801 loss_vfl: 1.019388 loss_bbox: 0.438516 loss_dfl: 0.242744 loss: 1.691734 eta: 2 days, 17:07:56 batch_cost: 3.3842 data_cost: 0.0027 ips: 37.8233 images/s [10/14 23:39:55] ppdet.engine INFO: Epoch: [4] [ 80/229] learning_rate: 0.399793 loss_vfl: 1.021159 loss_bbox: 0.409550 loss_dfl: 0.236153 loss: 1.677492 eta: 2 days, 17:05:11 batch_cost: 3.3916 data_cost: 0.0024 ips: 37.7404 images/s [10/14 23:41:05] ppdet.engine INFO: Epoch: [4] [100/229] learning_rate: 0.399784 loss_vfl: 1.002577 loss_bbox: 0.411788 loss_dfl: 0.231602 loss: 1.657004 eta: 2 days, 17:02:00 batch_cost: 3.3696 data_cost: 0.0025 ips: 37.9862 images/s [10/14 23:42:16] ppdet.engine INFO: Epoch: [4] [120/229] learning_rate: 0.399776 loss_vfl: 1.015169 loss_bbox: 0.435574 loss_dfl: 0.240007 loss: 1.702044 eta: 2 days, 16:59:06 batch_cost: 3.3781 data_cost: 0.0023 ips: 37.8911 images/s [10/14 23:43:27] ppdet.engine INFO: Epoch: [4] [140/229] learning_rate: 0.399767 loss_vfl: 1.016944 loss_bbox: 0.435826 loss_dfl: 0.229683 loss: 1.651929 eta: 2 days, 16:57:15 batch_cost: 3.4249 data_cost: 0.0024 ips: 37.3734 images/s [10/14 23:44:38] ppdet.engine INFO: Epoch: [4] [160/229] learning_rate: 0.399758 loss_vfl: 0.992828 loss_bbox: 0.402642 loss_dfl: 0.228642 loss: 1.625685 eta: 2 days, 16:54:33 batch_cost: 3.3828 data_cost: 0.0030 ips: 37.8380 images/s [10/14 23:45:50] ppdet.engine INFO: Epoch: [4] [180/229] learning_rate: 0.399749 loss_vfl: 1.015132 loss_bbox: 0.423693 loss_dfl: 0.231163 loss: 1.663167 eta: 2 days, 16:54:09 batch_cost: 3.4923 data_cost: 0.0025 ips: 36.6521 images/s [10/14 23:47:01] ppdet.engine INFO: Epoch: [4] [200/229] learning_rate: 0.399740 loss_vfl: 1.010451 loss_bbox: 0.423011 loss_dfl: 0.237347 loss: 1.671893 eta: 2 days, 16:51:43 batch_cost: 3.3927 data_cost: 0.0031 ips: 37.7285 images/s [10/14 23:48:10] ppdet.engine INFO: Epoch: [4] [220/229] learning_rate: 0.399730 loss_vfl: 1.010233 loss_bbox: 0.427300 loss_dfl: 0.242224 loss: 1.681547 eta: 2 days, 16:46:58 batch_cost: 3.2730 data_cost: 0.0023 ips: 39.1083 images/s [10/14 23:49:01] ppdet.engine INFO: Epoch: [5] [ 0/229] learning_rate: 0.399726 loss_vfl: 1.011506 loss_bbox: 0.423104 loss_dfl: 0.233446 loss: 1.661544 eta: 2 days, 17:02:06 batch_cost: 4.0762 data_cost: 0.5672 ips: 31.4018 images/s [10/14 23:50:13] ppdet.engine INFO: Epoch: [5] [ 20/229] learning_rate: 0.399716 loss_vfl: 0.980299 loss_bbox: 0.411559 loss_dfl: 0.225433 loss: 1.636814 eta: 2 days, 17:00:23 batch_cost: 3.4364 data_cost: 0.0032 ips: 37.2479 images/s [10/14 23:51:24] ppdet.engine INFO: Epoch: [5] [ 40/229] learning_rate: 0.399706 loss_vfl: 1.007588 loss_bbox: 0.392368 loss_dfl: 0.227048 loss: 1.645449 eta: 2 days, 16:58:30 batch_cost: 3.4267 data_cost: 0.0033 ips: 37.3542 images/s [10/14 23:52:36] ppdet.engine INFO: Epoch: [5] [ 60/229] learning_rate: 0.399696 loss_vfl: 1.000143 loss_bbox: 0.431531 loss_dfl: 0.240798 loss: 1.657706 eta: 2 days, 16:56:35 batch_cost: 3.4243 data_cost: 0.0032 ips: 37.3797 images/s [10/14 23:53:48] ppdet.engine INFO: Epoch: [5] [ 80/229] learning_rate: 0.399686 loss_vfl: 0.988777 loss_bbox: 0.407896 loss_dfl: 0.228092 loss: 1.619630 eta: 2 days, 16:55:07 batch_cost: 3.4468 data_cost: 0.0036 ips: 37.1359 images/s [10/14 23:55:00] ppdet.engine INFO: Epoch: [5] [100/229] learning_rate: 0.399676 loss_vfl: 1.001470 loss_bbox: 0.428669 loss_dfl: 0.241978 loss: 1.682232 eta: 2 days, 16:54:26 batch_cost: 3.4893 data_cost: 0.0025 ips: 36.6837 images/s [10/14 23:56:09] ppdet.engine INFO: Epoch: [5] [120/229] learning_rate: 0.399665 loss_vfl: 1.002367 loss_bbox: 0.429310 loss_dfl: 0.235688 loss: 1.661994 eta: 2 days, 16:50:35 batch_cost: 3.3127 data_cost: 0.0026 ips: 38.6388 images/s [10/14 23:57:19] ppdet.engine INFO: Epoch: [5] [140/229] learning_rate: 0.399655 loss_vfl: 0.996935 loss_bbox: 0.411444 loss_dfl: 0.236177 loss: 1.648916 eta: 2 days, 16:47:14 batch_cost: 3.3362 data_cost: 0.0023 ips: 38.3675 images/s [10/14 23:58:30] ppdet.engine INFO: Epoch: [5] [160/229] learning_rate: 0.399644 loss_vfl: 1.000266 loss_bbox: 0.426680 loss_dfl: 0.237459 loss: 1.656188 eta: 2 days, 16:45:05 batch_cost: 3.4018 data_cost: 0.0023 ips: 37.6275 images/s [10/14 23:59:39] ppdet.engine INFO: Epoch: [5] [180/229] learning_rate: 0.399633 loss_vfl: 1.011342 loss_bbox: 0.409163 loss_dfl: 0.234303 loss: 1.629509 eta: 2 days, 16:41:42 batch_cost: 3.3265 data_cost: 0.0024 ips: 38.4793 images/s [10/15 00:00:50] ppdet.engine INFO: Epoch: [5] [200/229] learning_rate: 0.399622 loss_vfl: 1.000639 loss_bbox: 0.437938 loss_dfl: 0.240719 loss: 1.683069 eta: 2 days, 16:38:51 batch_cost: 3.3554 data_cost: 0.0030 ips: 38.1470 images/s [10/15 00:01:59] ppdet.engine INFO: Epoch: [5] [220/229] learning_rate: 0.399610 loss_vfl: 1.007278 loss_bbox: 0.432943 loss_dfl: 0.242780 loss: 1.688179 eta: 2 days, 16:35:14 batch_cost: 3.3047 data_cost: 0.0025 ips: 38.7323 images/s [10/15 00:02:53] ppdet.engine INFO: Epoch: [6] [ 0/229] learning_rate: 0.399605 loss_vfl: 1.007370 loss_bbox: 0.433345 loss_dfl: 0.241694 loss: 1.681707 eta: 2 days, 16:50:14 batch_cost: 4.2813 data_cost: 0.5959 ips: 29.8976 images/s [10/15 00:04:06] ppdet.engine INFO: Epoch: [6] [ 20/229] learning_rate: 0.399594 loss_vfl: 0.984547 loss_bbox: 0.415558 loss_dfl: 0.232829 loss: 1.640560 eta: 2 days, 16:49:17 batch_cost: 3.4804 data_cost: 0.0032 ips: 36.7776 images/s [10/15 00:05:17] ppdet.engine INFO: Epoch: [6] [ 40/229] learning_rate: 0.399582 loss_vfl: 0.993438 loss_bbox: 0.407557 loss_dfl: 0.228930 loss: 1.612633 eta: 2 days, 16:47:11 batch_cost: 3.4072 data_cost: 0.0026 ips: 37.5674 images/s [10/15 00:06:27] ppdet.engine INFO: Epoch: [6] [ 60/229] learning_rate: 0.399570 loss_vfl: 0.997402 loss_bbox: 0.421306 loss_dfl: 0.231448 loss: 1.651012 eta: 2 days, 16:44:45 batch_cost: 3.3843 data_cost: 0.0026 ips: 37.8222 images/s [10/15 00:07:39] ppdet.engine INFO: Epoch: [6] [ 80/229] learning_rate: 0.399558 loss_vfl: 1.009680 loss_bbox: 0.410709 loss_dfl: 0.233433 loss: 1.653147 eta: 2 days, 16:42:42 batch_cost: 3.4077 data_cost: 0.0026 ips: 37.5619 images/s [10/15 00:08:50] ppdet.engine INFO: Epoch: [6] [100/229] learning_rate: 0.399546 loss_vfl: 0.985327 loss_bbox: 0.411916 loss_dfl: 0.227381 loss: 1.619701 eta: 2 days, 16:40:50 batch_cost: 3.4168 data_cost: 0.0024 ips: 37.4617 images/s [10/15 00:09:59] ppdet.engine INFO: Epoch: [6] [120/229] learning_rate: 0.399533 loss_vfl: 0.988393 loss_bbox: 0.410291 loss_dfl: 0.227037 loss: 1.638676 eta: 2 days, 16:37:44 batch_cost: 3.3337 data_cost: 0.0024 ips: 38.3961 images/s [10/15 00:11:09] ppdet.engine INFO: Epoch: [6] [140/229] learning_rate: 0.399521 loss_vfl: 0.995424 loss_bbox: 0.417846 loss_dfl: 0.237964 loss: 1.655727 eta: 2 days, 16:35:05 batch_cost: 3.3618 data_cost: 0.0024 ips: 38.0745 images/s [10/15 00:12:20] ppdet.engine INFO: Epoch: [6] [160/229] learning_rate: 0.399508 loss_vfl: 0.990870 loss_bbox: 0.417201 loss_dfl: 0.228659 loss: 1.622410 eta: 2 days, 16:32:27 batch_cost: 3.3582 data_cost: 0.0024 ips: 38.1152 images/s [10/15 00:13:30] ppdet.engine INFO: Epoch: [6] [180/229] learning_rate: 0.399495 loss_vfl: 0.998439 loss_bbox: 0.417886 loss_dfl: 0.233652 loss: 1.647434 eta: 2 days, 16:30:25 batch_cost: 3.3984 data_cost: 0.0027 ips: 37.6651 images/s [10/15 00:14:41] ppdet.engine INFO: Epoch: [6] [200/229] learning_rate: 0.399482 loss_vfl: 0.987369 loss_bbox: 0.396598 loss_dfl: 0.228972 loss: 1.621844 eta: 2 days, 16:28:13 batch_cost: 3.3850 data_cost: 0.0024 ips: 37.8140 images/s [10/15 00:15:50] ppdet.engine INFO: Epoch: [6] [220/229] learning_rate: 0.399469 loss_vfl: 0.996771 loss_bbox: 0.398535 loss_dfl: 0.221757 loss: 1.619004 eta: 2 days, 16:24:59 batch_cost: 3.3095 data_cost: 0.0023 ips: 38.6769 images/s [10/15 00:16:45] ppdet.engine INFO: Epoch: [7] [ 0/229] learning_rate: 0.399463 loss_vfl: 0.991615 loss_bbox: 0.403567 loss_dfl: 0.223969 loss: 1.612585 eta: 2 days, 16:38:23 batch_cost: 4.2885 data_cost: 0.4267 ips: 29.8472 images/s [10/15 00:17:58] ppdet.engine INFO: Epoch: [7] [ 20/229] learning_rate: 0.399449 loss_vfl: 0.973584 loss_bbox: 0.401716 loss_dfl: 0.225010 loss: 1.614948 eta: 2 days, 16:37:23 batch_cost: 3.4805 data_cost: 0.0033 ips: 36.7763 images/s [10/15 00:19:10] ppdet.engine INFO: Epoch: [7] [ 40/229] learning_rate: 0.399436 loss_vfl: 0.986685 loss_bbox: 0.414018 loss_dfl: 0.232345 loss: 1.644750 eta: 2 days, 16:36:11 batch_cost: 3.4640 data_cost: 0.0029 ips: 36.9512 images/s [10/15 00:20:22] ppdet.engine INFO: Epoch: [7] [ 60/229] learning_rate: 0.399422 loss_vfl: 1.010008 loss_bbox: 0.393434 loss_dfl: 0.227189 loss: 1.635942 eta: 2 days, 16:34:45 batch_cost: 3.4480 data_cost: 0.0034 ips: 37.1229 images/s [10/15 00:21:32] ppdet.engine INFO: Epoch: [7] [ 80/229] learning_rate: 0.399408 loss_vfl: 0.998690 loss_bbox: 0.408307 loss_dfl: 0.232319 loss: 1.633691 eta: 2 days, 16:32:31 batch_cost: 3.3863 data_cost: 0.0025 ips: 37.7988 images/s [10/15 00:22:43] ppdet.engine INFO: Epoch: [7] [100/229] learning_rate: 0.399394 loss_vfl: 0.996521 loss_bbox: 0.411113 loss_dfl: 0.226820 loss: 1.630310 eta: 2 days, 16:30:25 batch_cost: 3.3959 data_cost: 0.0024 ips: 37.6927 images/s [10/15 00:23:55] ppdet.engine INFO: Epoch: [7] [120/229] learning_rate: 0.399380 loss_vfl: 0.979288 loss_bbox: 0.403288 loss_dfl: 0.229200 loss: 1.616182 eta: 2 days, 16:29:08 batch_cost: 3.4566 data_cost: 0.0025 ips: 37.0311 images/s [10/15 00:25:09] ppdet.engine INFO: Epoch: [7] [140/229] learning_rate: 0.399365 loss_vfl: 0.974325 loss_bbox: 0.414190 loss_dfl: 0.238102 loss: 1.645586 eta: 2 days, 16:28:47 batch_cost: 3.5289 data_cost: 0.0032 ips: 36.2714 images/s [10/15 00:26:20] ppdet.engine INFO: Epoch: [7] [160/229] learning_rate: 0.399350 loss_vfl: 0.994328 loss_bbox: 0.404718 loss_dfl: 0.230293 loss: 1.637471 eta: 2 days, 16:27:03 batch_cost: 3.4207 data_cost: 0.0025 ips: 37.4189 images/s [10/15 00:27:30] ppdet.engine INFO: Epoch: [7] [180/229] learning_rate: 0.399336 loss_vfl: 0.997176 loss_bbox: 0.393553 loss_dfl: 0.226488 loss: 1.627073 eta: 2 days, 16:24:40 batch_cost: 3.3681 data_cost: 0.0025 ips: 38.0036 images/s [10/15 00:28:40] ppdet.engine INFO: Epoch: [7] [200/229] learning_rate: 0.399321 loss_vfl: 0.976352 loss_bbox: 0.398646 loss_dfl: 0.224509 loss: 1.596895 eta: 2 days, 16:21:42 batch_cost: 3.3182 data_cost: 0.0025 ips: 38.5747 images/s [10/15 00:29:47] ppdet.engine INFO: Epoch: [7] [220/229] learning_rate: 0.399305 loss_vfl: 0.968804 loss_bbox: 0.422713 loss_dfl: 0.232454 loss: 1.616923 eta: 2 days, 16:17:45 batch_cost: 3.2358 data_cost: 0.0024 ips: 39.5575 images/s [10/15 00:30:42] ppdet.engine INFO: Epoch: [8] [ 0/229] learning_rate: 0.399299 loss_vfl: 0.972950 loss_bbox: 0.411648 loss_dfl: 0.231447 loss: 1.616194 eta: 2 days, 16:29:16 batch_cost: 4.2416 data_cost: 0.4202 ips: 30.1770 images/s [10/15 00:31:53] ppdet.engine INFO: Epoch: [8] [ 20/229] learning_rate: 0.399283 loss_vfl: 0.979208 loss_bbox: 0.411379 loss_dfl: 0.232233 loss: 1.622348 eta: 2 days, 16:27:01 batch_cost: 3.3816 data_cost: 0.0025 ips: 37.8523 images/s [10/15 00:33:04] ppdet.engine INFO: Epoch: [8] [ 40/229] learning_rate: 0.399268 loss_vfl: 0.963080 loss_bbox: 0.402929 loss_dfl: 0.228678 loss: 1.622478 eta: 2 days, 16:25:22 batch_cost: 3.4296 data_cost: 0.0024 ips: 37.3225 images/s [10/15 00:34:14] ppdet.engine INFO: Epoch: [8] [ 60/229] learning_rate: 0.399252 loss_vfl: 0.986773 loss_bbox: 0.400568 loss_dfl: 0.230291 loss: 1.624905 eta: 2 days, 16:22:29 batch_cost: 3.3230 data_cost: 0.0031 ips: 38.5198 images/s [10/15 00:35:25] ppdet.engine INFO: Epoch: [8] [ 80/229] learning_rate: 0.399236 loss_vfl: 0.991717 loss_bbox: 0.393734 loss_dfl: 0.218891 loss: 1.586331 eta: 2 days, 16:20:47 batch_cost: 3.4226 data_cost: 0.0028 ips: 37.3981 images/s [10/15 00:36:34] ppdet.engine INFO: Epoch: [8] [100/229] learning_rate: 0.399220 loss_vfl: 0.974492 loss_bbox: 0.417841 loss_dfl: 0.229455 loss: 1.613673 eta: 2 days, 16:17:51 batch_cost: 3.3141 data_cost: 0.0025 ips: 38.6223 images/s [10/15 00:37:44] ppdet.engine INFO: Epoch: [8] [120/229] learning_rate: 0.399204 loss_vfl: 0.963220 loss_bbox: 0.395367 loss_dfl: 0.220338 loss: 1.594226 eta: 2 days, 16:15:17 batch_cost: 3.3429 data_cost: 0.0023 ips: 38.2900 images/s [10/15 00:38:54] ppdet.engine INFO: Epoch: [8] [140/229] learning_rate: 0.399187 loss_vfl: 0.963527 loss_bbox: 0.405857 loss_dfl: 0.229360 loss: 1.604649 eta: 2 days, 16:12:59 batch_cost: 3.3636 data_cost: 0.0023 ips: 38.0549 images/s [10/15 00:40:06] ppdet.engine INFO: Epoch: [8] [160/229] learning_rate: 0.399171 loss_vfl: 0.976614 loss_bbox: 0.391544 loss_dfl: 0.224844 loss: 1.602516 eta: 2 days, 16:11:31 batch_cost: 3.4372 data_cost: 0.0025 ips: 37.2391 images/s [10/15 00:41:15] ppdet.engine INFO: Epoch: [8] [180/229] learning_rate: 0.399154 loss_vfl: 0.964147 loss_bbox: 0.413504 loss_dfl: 0.226771 loss: 1.598110 eta: 2 days, 16:08:53 batch_cost: 3.3308 data_cost: 0.0025 ips: 38.4289 images/s [10/15 00:42:26] ppdet.engine INFO: Epoch: [8] [200/229] learning_rate: 0.399137 loss_vfl: 0.975549 loss_bbox: 0.422778 loss_dfl: 0.231212 loss: 1.616796 eta: 2 days, 16:06:50 batch_cost: 3.3799 data_cost: 0.0023 ips: 37.8712 images/s [10/15 00:43:34] ppdet.engine INFO: Epoch: [8] [220/229] learning_rate: 0.399120 loss_vfl: 0.971437 loss_bbox: 0.417640 loss_dfl: 0.230125 loss: 1.614595 eta: 2 days, 16:03:32 batch_cost: 3.2646 data_cost: 0.0024 ips: 39.2087 images/s [10/15 00:44:28] ppdet.engine INFO: Epoch: [9] [ 0/229] learning_rate: 0.399112 loss_vfl: 0.967208 loss_bbox: 0.413366 loss_dfl: 0.229923 loss: 1.585445 eta: 2 days, 16:12:28 batch_cost: 4.2103 data_cost: 0.3081 ips: 30.4018 images/s [10/15 00:45:41] ppdet.engine INFO: Epoch: [9] [ 20/229] learning_rate: 0.399095 loss_vfl: 0.974279 loss_bbox: 0.400331 loss_dfl: 0.224900 loss: 1.592306 eta: 2 days, 16:11:42 batch_cost: 3.5050 data_cost: 0.0025 ips: 36.5188 images/s [10/15 00:46:52] ppdet.engine INFO: Epoch: [9] [ 40/229] learning_rate: 0.399078 loss_vfl: 0.965430 loss_bbox: 0.415288 loss_dfl: 0.224098 loss: 1.599894 eta: 2 days, 16:09:46 batch_cost: 3.3952 data_cost: 0.0025 ips: 37.7004 images/s [10/15 00:48:04] ppdet.engine INFO: Epoch: [9] [ 60/229] learning_rate: 0.399060 loss_vfl: 0.978421 loss_bbox: 0.400235 loss_dfl: 0.229136 loss: 1.624323 eta: 2 days, 16:08:44 batch_cost: 3.4805 data_cost: 0.0025 ips: 36.7758 images/s [10/15 00:49:15] ppdet.engine INFO: Epoch: [9] [ 80/229] learning_rate: 0.399042 loss_vfl: 0.984557 loss_bbox: 0.396403 loss_dfl: 0.228552 loss: 1.605462 eta: 2 days, 16:06:39 batch_cost: 3.3786 data_cost: 0.0023 ips: 37.8855 images/s [10/15 00:50:25] ppdet.engine INFO: Epoch: [9] [100/229] learning_rate: 0.399024 loss_vfl: 0.982799 loss_bbox: 0.386195 loss_dfl: 0.219699 loss: 1.603064 eta: 2 days, 16:04:09 batch_cost: 3.3368 data_cost: 0.0024 ips: 38.3604 images/s [10/15 00:51:34] ppdet.engine INFO: Epoch: [9] [120/229] learning_rate: 0.399006 loss_vfl: 0.976978 loss_bbox: 0.393014 loss_dfl: 0.224355 loss: 1.603011 eta: 2 days, 16:01:30 batch_cost: 3.3187 data_cost: 0.0023 ips: 38.5691 images/s [10/15 00:52:44] ppdet.engine INFO: Epoch: [9] [140/229] learning_rate: 0.398988 loss_vfl: 0.959520 loss_bbox: 0.376254 loss_dfl: 0.218994 loss: 1.583262 eta: 2 days, 15:59:21 batch_cost: 3.3666 data_cost: 0.0023 ips: 38.0208 images/s [10/15 00:53:55] ppdet.engine INFO: Epoch: [9] [160/229] learning_rate: 0.398969 loss_vfl: 0.965608 loss_bbox: 0.391661 loss_dfl: 0.223354 loss: 1.621283 eta: 2 days, 15:57:26 batch_cost: 3.3883 data_cost: 0.0023 ips: 37.7767 images/s [10/15 00:55:06] ppdet.engine INFO: Epoch: [9] [180/229] learning_rate: 0.398951 loss_vfl: 0.975898 loss_bbox: 0.404847 loss_dfl: 0.231710 loss: 1.609048 eta: 2 days, 15:55:55 batch_cost: 3.4263 data_cost: 0.0025 ips: 37.3580 images/s [10/15 00:56:16] ppdet.engine INFO: Epoch: [9] [200/229] learning_rate: 0.398932 loss_vfl: 0.995874 loss_bbox: 0.411843 loss_dfl: 0.234772 loss: 1.639919 eta: 2 days, 15:53:32 batch_cost: 3.3374 data_cost: 0.0024 ips: 38.3534 images/s [10/15 00:57:25] ppdet.engine INFO: Epoch: [9] [220/229] learning_rate: 0.398913 loss_vfl: 0.988493 loss_bbox: 0.397272 loss_dfl: 0.225240 loss: 1.608525 eta: 2 days, 15:50:30 batch_cost: 3.2689 data_cost: 0.0024 ips: 39.1573 images/s [10/15 00:57:54] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco loading annotations into memory... Done (t=1.54s) creating index... index created! loading annotations into memory... Done (t=1.60s) creating index... index created! [10/15 00:58:03] ppdet.engine INFO: Eval iter: 0 [10/15 00:58:37] ppdet.engine INFO: Eval iter: 100 [10/15 00:59:02] ppdet.engine INFO: Eval iter: 200 [10/15 00:59:27] ppdet.engine INFO: Eval iter: 300 [10/15 00:59:52] ppdet.engine INFO: Eval iter: 400 [10/15 01:00:17] ppdet.engine INFO: Eval iter: 500 [10/15 01:00:42] ppdet.engine INFO: Eval iter: 600 [10/15 01:01:02] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.91s) creating index... index created! [10/15 01:01:03] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.78s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.04s). Accumulating evaluation results... DONE (t=17.95s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.176 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.295 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.177 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.046 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.160 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.318 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.194 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.312 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.333 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.081 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 ] = 0.577 [10/15 01:03:07] ppdet.engine INFO: Total sample number: 5000, averge FPS: 29.72127645520763 [10/15 01:03:07] ppdet.engine INFO: Best test bbox ap is 0.176. [10/15 01:03:07] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 01:03:10] ppdet.engine INFO: Epoch: [10] [ 0/229] learning_rate: 0.398904 loss_vfl: 0.991006 loss_bbox: 0.398558 loss_dfl: 0.226550 loss: 1.608525 eta: 2 days, 15:48:25 batch_cost: 3.1703 data_cost: 0.0026 ips: 40.3744 images/s [10/15 01:04:23] ppdet.engine INFO: Epoch: [10] [ 20/229] learning_rate: 0.398885 loss_vfl: 0.969588 loss_bbox: 0.409214 loss_dfl: 0.230925 loss: 1.605868 eta: 2 days, 15:47:11 batch_cost: 3.4512 data_cost: 0.0025 ips: 37.0888 images/s [10/15 01:05:34] ppdet.engine INFO: Epoch: [10] [ 40/229] learning_rate: 0.398866 loss_vfl: 0.955591 loss_bbox: 0.396359 loss_dfl: 0.222491 loss: 1.574391 eta: 2 days, 15:45:44 batch_cost: 3.4276 data_cost: 0.0024 ips: 37.3437 images/s [10/15 01:06:44] ppdet.engine INFO: Epoch: [10] [ 60/229] learning_rate: 0.398846 loss_vfl: 0.974496 loss_bbox: 0.409013 loss_dfl: 0.230878 loss: 1.600759 eta: 2 days, 15:43:28 batch_cost: 3.3397 data_cost: 0.0023 ips: 38.3272 images/s [10/15 01:07:54] ppdet.engine INFO: Epoch: [10] [ 80/229] learning_rate: 0.398827 loss_vfl: 0.980708 loss_bbox: 0.388012 loss_dfl: 0.223588 loss: 1.585863 eta: 2 days, 15:41:23 batch_cost: 3.3579 data_cost: 0.0026 ips: 38.1190 images/s [10/15 01:09:04] ppdet.engine INFO: Epoch: [10] [100/229] learning_rate: 0.398807 loss_vfl: 0.985246 loss_bbox: 0.411907 loss_dfl: 0.227287 loss: 1.612766 eta: 2 days, 15:39:29 batch_cost: 3.3751 data_cost: 0.0024 ips: 37.9253 images/s [10/15 01:10:14] ppdet.engine INFO: Epoch: [10] [120/229] learning_rate: 0.398787 loss_vfl: 0.966892 loss_bbox: 0.389056 loss_dfl: 0.221742 loss: 1.563182 eta: 2 days, 15:37:17 batch_cost: 3.3416 data_cost: 0.0024 ips: 38.3049 images/s [10/15 01:11:24] ppdet.engine INFO: Epoch: [10] [140/229] learning_rate: 0.398766 loss_vfl: 0.970654 loss_bbox: 0.381897 loss_dfl: 0.222217 loss: 1.582072 eta: 2 days, 15:35:17 batch_cost: 3.3621 data_cost: 0.0024 ips: 38.0717 images/s [10/15 01:12:34] ppdet.engine INFO: Epoch: [10] [160/229] learning_rate: 0.398746 loss_vfl: 0.978245 loss_bbox: 0.388968 loss_dfl: 0.225836 loss: 1.571929 eta: 2 days, 15:33:19 batch_cost: 3.3645 data_cost: 0.0030 ips: 38.0439 images/s [10/15 01:13:45] ppdet.engine INFO: Epoch: [10] [180/229] learning_rate: 0.398726 loss_vfl: 0.968128 loss_bbox: 0.402622 loss_dfl: 0.228635 loss: 1.600057 eta: 2 days, 15:31:33 batch_cost: 3.3842 data_cost: 0.0023 ips: 37.8224 images/s [10/15 01:14:56] ppdet.engine INFO: Epoch: [10] [200/229] learning_rate: 0.398705 loss_vfl: 0.970316 loss_bbox: 0.400374 loss_dfl: 0.223892 loss: 1.586796 eta: 2 days, 15:29:52 batch_cost: 3.3936 data_cost: 0.0025 ips: 37.7175 images/s [10/15 01:16:02] ppdet.engine INFO: Epoch: [10] [220/229] learning_rate: 0.398684 loss_vfl: 0.956651 loss_bbox: 0.400035 loss_dfl: 0.226210 loss: 1.609833 eta: 2 days, 15:26:22 batch_cost: 3.1842 data_cost: 0.0023 ips: 40.1990 images/s [10/15 01:16:55] ppdet.engine INFO: Epoch: [11] [ 0/229] learning_rate: 0.398675 loss_vfl: 0.956367 loss_bbox: 0.402499 loss_dfl: 0.233352 loss: 1.607069 eta: 2 days, 15:33:43 batch_cost: 4.1179 data_cost: 0.4130 ips: 31.0840 images/s [10/15 01:18:07] ppdet.engine INFO: Epoch: [11] [ 20/229] learning_rate: 0.398653 loss_vfl: 0.950225 loss_bbox: 0.401794 loss_dfl: 0.225974 loss: 1.571715 eta: 2 days, 15:32:05 batch_cost: 3.4018 data_cost: 0.0027 ips: 37.6272 images/s [10/15 01:19:18] ppdet.engine INFO: Epoch: [11] [ 40/229] learning_rate: 0.398632 loss_vfl: 0.956406 loss_bbox: 0.392951 loss_dfl: 0.214529 loss: 1.561719 eta: 2 days, 15:30:43 batch_cost: 3.4335 data_cost: 0.0029 ips: 37.2799 images/s [10/15 01:20:28] ppdet.engine INFO: Epoch: [11] [ 60/229] learning_rate: 0.398611 loss_vfl: 0.952550 loss_bbox: 0.418528 loss_dfl: 0.231099 loss: 1.609232 eta: 2 days, 15:28:36 batch_cost: 3.3427 data_cost: 0.0025 ips: 38.2923 images/s [10/15 01:21:40] ppdet.engine INFO: Epoch: [11] [ 80/229] learning_rate: 0.398589 loss_vfl: 0.972333 loss_bbox: 0.393477 loss_dfl: 0.224174 loss: 1.580947 eta: 2 days, 15:27:33 batch_cost: 3.4693 data_cost: 0.0025 ips: 36.8954 images/s [10/15 01:22:50] ppdet.engine INFO: Epoch: [11] [100/229] learning_rate: 0.398567 loss_vfl: 0.980323 loss_bbox: 0.407418 loss_dfl: 0.232621 loss: 1.598425 eta: 2 days, 15:25:16 batch_cost: 3.3217 data_cost: 0.0025 ips: 38.5345 images/s [10/15 01:24:01] ppdet.engine INFO: Epoch: [11] [120/229] learning_rate: 0.398545 loss_vfl: 0.976535 loss_bbox: 0.416703 loss_dfl: 0.233752 loss: 1.635020 eta: 2 days, 15:23:56 batch_cost: 3.4320 data_cost: 0.0024 ips: 37.2955 images/s [10/15 01:25:13] ppdet.engine INFO: Epoch: [11] [140/229] learning_rate: 0.398523 loss_vfl: 0.958674 loss_bbox: 0.384089 loss_dfl: 0.216661 loss: 1.573793 eta: 2 days, 15:22:37 batch_cost: 3.4348 data_cost: 0.0024 ips: 37.2656 images/s [10/15 01:26:25] ppdet.engine INFO: Epoch: [11] [160/229] learning_rate: 0.398501 loss_vfl: 0.970383 loss_bbox: 0.389164 loss_dfl: 0.220424 loss: 1.581541 eta: 2 days, 15:21:15 batch_cost: 3.4289 data_cost: 0.0026 ips: 37.3300 images/s [10/15 01:27:35] ppdet.engine INFO: Epoch: [11] [180/229] learning_rate: 0.398479 loss_vfl: 0.958342 loss_bbox: 0.401363 loss_dfl: 0.226987 loss: 1.585316 eta: 2 days, 15:19:14 batch_cost: 3.3489 data_cost: 0.0033 ips: 38.2215 images/s [10/15 01:28:45] ppdet.engine INFO: Epoch: [11] [200/229] learning_rate: 0.398456 loss_vfl: 0.971902 loss_bbox: 0.387397 loss_dfl: 0.225478 loss: 1.595882 eta: 2 days, 15:17:21 batch_cost: 3.3636 data_cost: 0.0024 ips: 38.0539 images/s [10/15 01:29:54] ppdet.engine INFO: Epoch: [11] [220/229] learning_rate: 0.398433 loss_vfl: 0.960223 loss_bbox: 0.394427 loss_dfl: 0.219827 loss: 1.569175 eta: 2 days, 15:15:15 batch_cost: 3.3344 data_cost: 0.0024 ips: 38.3874 images/s [10/15 01:30:47] ppdet.engine INFO: Epoch: [12] [ 0/229] learning_rate: 0.398423 loss_vfl: 0.971374 loss_bbox: 0.390232 loss_dfl: 0.218944 loss: 1.566401 eta: 2 days, 15:21:26 batch_cost: 4.1816 data_cost: 0.3332 ips: 30.6102 images/s [10/15 01:31:58] ppdet.engine INFO: Epoch: [12] [ 20/229] learning_rate: 0.398400 loss_vfl: 0.968714 loss_bbox: 0.408735 loss_dfl: 0.227700 loss: 1.587827 eta: 2 days, 15:19:54 batch_cost: 3.4086 data_cost: 0.0026 ips: 37.5516 images/s [10/15 01:33:12] ppdet.engine INFO: Epoch: [12] [ 40/229] learning_rate: 0.398377 loss_vfl: 0.954090 loss_bbox: 0.390026 loss_dfl: 0.223368 loss: 1.586607 eta: 2 days, 15:19:23 batch_cost: 3.5401 data_cost: 0.0026 ips: 36.1576 images/s [10/15 01:34:23] ppdet.engine INFO: Epoch: [12] [ 60/229] learning_rate: 0.398353 loss_vfl: 0.945329 loss_bbox: 0.393488 loss_dfl: 0.226734 loss: 1.574170 eta: 2 days, 15:17:45 batch_cost: 3.3970 data_cost: 0.0023 ips: 37.6798 images/s [10/15 01:35:33] ppdet.engine INFO: Epoch: [12] [ 80/229] learning_rate: 0.398330 loss_vfl: 0.969086 loss_bbox: 0.403049 loss_dfl: 0.224667 loss: 1.582274 eta: 2 days, 15:16:07 batch_cost: 3.3965 data_cost: 0.0024 ips: 37.6854 images/s [10/15 01:36:44] ppdet.engine INFO: Epoch: [12] [100/229] learning_rate: 0.398306 loss_vfl: 0.961893 loss_bbox: 0.402344 loss_dfl: 0.227456 loss: 1.593105 eta: 2 days, 15:14:11 batch_cost: 3.3566 data_cost: 0.0024 ips: 38.1337 images/s [10/15 01:37:53] ppdet.engine INFO: Epoch: [12] [120/229] learning_rate: 0.398282 loss_vfl: 0.971304 loss_bbox: 0.404290 loss_dfl: 0.221469 loss: 1.586591 eta: 2 days, 15:12:08 batch_cost: 3.3392 data_cost: 0.0024 ips: 38.3321 images/s [10/15 01:39:02] ppdet.engine INFO: Epoch: [12] [140/229] learning_rate: 0.398258 loss_vfl: 0.968342 loss_bbox: 0.377976 loss_dfl: 0.214822 loss: 1.573232 eta: 2 days, 15:09:49 batch_cost: 3.3034 data_cost: 0.0023 ips: 38.7482 images/s [10/15 01:40:14] ppdet.engine INFO: Epoch: [12] [160/229] learning_rate: 0.398234 loss_vfl: 0.962336 loss_bbox: 0.400658 loss_dfl: 0.227333 loss: 1.598048 eta: 2 days, 15:08:30 batch_cost: 3.4329 data_cost: 0.0023 ips: 37.2859 images/s [10/15 01:41:24] ppdet.engine INFO: Epoch: [12] [180/229] learning_rate: 0.398210 loss_vfl: 0.959288 loss_bbox: 0.379325 loss_dfl: 0.217559 loss: 1.549441 eta: 2 days, 15:06:33 batch_cost: 3.3478 data_cost: 0.0023 ips: 38.2339 images/s [10/15 01:42:33] ppdet.engine INFO: Epoch: [12] [200/229] learning_rate: 0.398185 loss_vfl: 0.966907 loss_bbox: 0.403581 loss_dfl: 0.227223 loss: 1.590258 eta: 2 days, 15:04:26 batch_cost: 3.3246 data_cost: 0.0024 ips: 38.5008 images/s [10/15 01:43:40] ppdet.engine INFO: Epoch: [12] [220/229] learning_rate: 0.398161 loss_vfl: 0.976966 loss_bbox: 0.397121 loss_dfl: 0.220464 loss: 1.569119 eta: 2 days, 15:01:18 batch_cost: 3.1844 data_cost: 0.0023 ips: 40.1955 images/s [10/15 01:44:34] ppdet.engine INFO: Epoch: [13] [ 0/229] learning_rate: 0.398150 loss_vfl: 0.975477 loss_bbox: 0.393306 loss_dfl: 0.218242 loss: 1.574228 eta: 2 days, 15:07:36 batch_cost: 4.1729 data_cost: 0.6124 ips: 30.6740 images/s [10/15 01:45:46] ppdet.engine INFO: Epoch: [13] [ 20/229] learning_rate: 0.398125 loss_vfl: 0.953295 loss_bbox: 0.390441 loss_dfl: 0.223153 loss: 1.575082 eta: 2 days, 15:06:31 batch_cost: 3.4673 data_cost: 0.0028 ips: 36.9164 images/s [10/15 01:46:58] ppdet.engine INFO: Epoch: [13] [ 40/229] learning_rate: 0.398100 loss_vfl: 0.979250 loss_bbox: 0.381359 loss_dfl: 0.221738 loss: 1.580693 eta: 2 days, 15:05:05 batch_cost: 3.4184 data_cost: 0.0026 ips: 37.4443 images/s [10/15 01:48:08] ppdet.engine INFO: Epoch: [13] [ 60/229] learning_rate: 0.398074 loss_vfl: 0.968528 loss_bbox: 0.390551 loss_dfl: 0.228405 loss: 1.581000 eta: 2 days, 15:03:25 batch_cost: 3.3859 data_cost: 0.0024 ips: 37.8040 images/s [10/15 01:49:20] ppdet.engine INFO: Epoch: [13] [ 80/229] learning_rate: 0.398049 loss_vfl: 0.974584 loss_bbox: 0.382668 loss_dfl: 0.220272 loss: 1.574564 eta: 2 days, 15:02:09 batch_cost: 3.4407 data_cost: 0.0024 ips: 37.2022 images/s [10/15 01:50:32] ppdet.engine INFO: Epoch: [13] [100/229] learning_rate: 0.398023 loss_vfl: 0.973887 loss_bbox: 0.395663 loss_dfl: 0.224977 loss: 1.590228 eta: 2 days, 15:00:49 batch_cost: 3.4314 data_cost: 0.0025 ips: 37.3022 images/s [10/15 01:51:42] ppdet.engine INFO: Epoch: [13] [120/229] learning_rate: 0.397998 loss_vfl: 0.963850 loss_bbox: 0.384996 loss_dfl: 0.222203 loss: 1.569096 eta: 2 days, 14:58:51 batch_cost: 3.3432 data_cost: 0.0025 ips: 38.2870 images/s [10/15 01:52:52] ppdet.engine INFO: Epoch: [13] [140/229] learning_rate: 0.397972 loss_vfl: 0.959874 loss_bbox: 0.389161 loss_dfl: 0.224560 loss: 1.594635 eta: 2 days, 14:57:00 batch_cost: 3.3559 data_cost: 0.0025 ips: 38.1412 images/s [10/15 01:54:01] ppdet.engine INFO: Epoch: [13] [160/229] learning_rate: 0.397946 loss_vfl: 0.948200 loss_bbox: 0.394941 loss_dfl: 0.217278 loss: 1.549252 eta: 2 days, 14:54:47 batch_cost: 3.3016 data_cost: 0.0027 ips: 38.7692 images/s [10/15 01:55:09] ppdet.engine INFO: Epoch: [13] [180/229] learning_rate: 0.397919 loss_vfl: 0.958347 loss_bbox: 0.393414 loss_dfl: 0.228788 loss: 1.586145 eta: 2 days, 14:52:29 batch_cost: 3.2894 data_cost: 0.0035 ips: 38.9125 images/s [10/15 01:56:21] ppdet.engine INFO: Epoch: [13] [200/229] learning_rate: 0.397893 loss_vfl: 0.951433 loss_bbox: 0.391988 loss_dfl: 0.225350 loss: 1.576044 eta: 2 days, 14:51:07 batch_cost: 3.4224 data_cost: 0.0032 ips: 37.4012 images/s [10/15 01:57:30] ppdet.engine INFO: Epoch: [13] [220/229] learning_rate: 0.397866 loss_vfl: 0.959150 loss_bbox: 0.402896 loss_dfl: 0.224462 loss: 1.580985 eta: 2 days, 14:48:58 batch_cost: 3.3066 data_cost: 0.0024 ips: 38.7099 images/s [10/15 01:58:25] ppdet.engine INFO: Epoch: [14] [ 0/229] learning_rate: 0.397854 loss_vfl: 0.965976 loss_bbox: 0.407118 loss_dfl: 0.224908 loss: 1.598718 eta: 2 days, 14:54:56 batch_cost: 4.3094 data_cost: 0.4122 ips: 29.7023 images/s [10/15 01:59:37] ppdet.engine INFO: Epoch: [14] [ 20/229] learning_rate: 0.397828 loss_vfl: 0.957638 loss_bbox: 0.384605 loss_dfl: 0.217353 loss: 1.564696 eta: 2 days, 14:53:43 batch_cost: 3.4493 data_cost: 0.0030 ips: 37.1095 images/s [10/15 02:00:48] ppdet.engine INFO: Epoch: [14] [ 40/229] learning_rate: 0.397801 loss_vfl: 0.953063 loss_bbox: 0.394024 loss_dfl: 0.220483 loss: 1.562921 eta: 2 days, 14:52:16 batch_cost: 3.4159 data_cost: 0.0028 ips: 37.4723 images/s [10/15 02:02:00] ppdet.engine INFO: Epoch: [14] [ 60/229] learning_rate: 0.397774 loss_vfl: 0.961354 loss_bbox: 0.367775 loss_dfl: 0.214831 loss: 1.543982 eta: 2 days, 14:50:53 batch_cost: 3.4227 data_cost: 0.0025 ips: 37.3979 images/s [10/15 02:03:09] ppdet.engine INFO: Epoch: [14] [ 80/229] learning_rate: 0.397746 loss_vfl: 0.941653 loss_bbox: 0.393310 loss_dfl: 0.224559 loss: 1.565949 eta: 2 days, 14:48:54 batch_cost: 3.3323 data_cost: 0.0025 ips: 38.4122 images/s [10/15 02:04:18] ppdet.engine INFO: Epoch: [14] [100/229] learning_rate: 0.397719 loss_vfl: 0.937164 loss_bbox: 0.397759 loss_dfl: 0.226138 loss: 1.583878 eta: 2 days, 14:46:54 batch_cost: 3.3283 data_cost: 0.0030 ips: 38.4586 images/s [10/15 02:05:29] ppdet.engine INFO: Epoch: [14] [120/229] learning_rate: 0.397691 loss_vfl: 0.964085 loss_bbox: 0.395998 loss_dfl: 0.223723 loss: 1.583197 eta: 2 days, 14:45:04 batch_cost: 3.3524 data_cost: 0.0025 ips: 38.1811 images/s [10/15 02:06:38] ppdet.engine INFO: Epoch: [14] [140/229] learning_rate: 0.397663 loss_vfl: 0.959777 loss_bbox: 0.371550 loss_dfl: 0.215181 loss: 1.551332 eta: 2 days, 14:43:10 batch_cost: 3.3406 data_cost: 0.0025 ips: 38.3170 images/s [10/15 02:07:47] ppdet.engine INFO: Epoch: [14] [160/229] learning_rate: 0.397635 loss_vfl: 0.955244 loss_bbox: 0.386350 loss_dfl: 0.221192 loss: 1.570320 eta: 2 days, 14:40:51 batch_cost: 3.2733 data_cost: 0.0025 ips: 39.1042 images/s [10/15 02:08:57] ppdet.engine INFO: Epoch: [14] [180/229] learning_rate: 0.397607 loss_vfl: 0.943477 loss_bbox: 0.384668 loss_dfl: 0.214225 loss: 1.541021 eta: 2 days, 14:39:01 batch_cost: 3.3489 data_cost: 0.0023 ips: 38.2218 images/s [10/15 02:10:07] ppdet.engine INFO: Epoch: [14] [200/229] learning_rate: 0.397579 loss_vfl: 0.952511 loss_bbox: 0.388361 loss_dfl: 0.224285 loss: 1.569720 eta: 2 days, 14:37:21 batch_cost: 3.3726 data_cost: 0.0024 ips: 37.9528 images/s [10/15 02:11:14] ppdet.engine INFO: Epoch: [14] [220/229] learning_rate: 0.397551 loss_vfl: 0.928405 loss_bbox: 0.383863 loss_dfl: 0.216635 loss: 1.545120 eta: 2 days, 14:34:46 batch_cost: 3.2277 data_cost: 0.0023 ips: 39.6570 images/s [10/15 02:12:10] ppdet.engine INFO: Epoch: [15] [ 0/229] learning_rate: 0.397538 loss_vfl: 0.948014 loss_bbox: 0.383342 loss_dfl: 0.217332 loss: 1.544014 eta: 2 days, 14:40:29 batch_cost: 4.2584 data_cost: 0.6209 ips: 30.0583 images/s [10/15 02:13:23] ppdet.engine INFO: Epoch: [15] [ 20/229] learning_rate: 0.397509 loss_vfl: 0.950712 loss_bbox: 0.385531 loss_dfl: 0.222874 loss: 1.565520 eta: 2 days, 14:39:36 batch_cost: 3.4999 data_cost: 0.0026 ips: 36.5727 images/s [10/15 02:14:33] ppdet.engine INFO: Epoch: [15] [ 40/229] learning_rate: 0.397480 loss_vfl: 0.944726 loss_bbox: 0.386220 loss_dfl: 0.223660 loss: 1.559220 eta: 2 days, 14:37:51 batch_cost: 3.3599 data_cost: 0.0024 ips: 38.0967 images/s [10/15 02:15:44] ppdet.engine INFO: Epoch: [15] [ 60/229] learning_rate: 0.397451 loss_vfl: 0.958456 loss_bbox: 0.386314 loss_dfl: 0.221717 loss: 1.577608 eta: 2 days, 14:36:23 batch_cost: 3.4072 data_cost: 0.0025 ips: 37.5677 images/s [10/15 02:16:55] ppdet.engine INFO: Epoch: [15] [ 80/229] learning_rate: 0.397422 loss_vfl: 0.963295 loss_bbox: 0.386909 loss_dfl: 0.222444 loss: 1.561978 eta: 2 days, 14:35:02 batch_cost: 3.4252 data_cost: 0.0025 ips: 37.3700 images/s [10/15 02:18:06] ppdet.engine INFO: Epoch: [15] [100/229] learning_rate: 0.397393 loss_vfl: 0.957980 loss_bbox: 0.372193 loss_dfl: 0.215762 loss: 1.551790 eta: 2 days, 14:33:18 batch_cost: 3.3608 data_cost: 0.0025 ips: 38.0864 images/s [10/15 02:19:16] ppdet.engine INFO: Epoch: [15] [120/229] learning_rate: 0.397363 loss_vfl: 0.966674 loss_bbox: 0.373737 loss_dfl: 0.218398 loss: 1.557086 eta: 2 days, 14:31:40 batch_cost: 3.3782 data_cost: 0.0025 ips: 37.8899 images/s [10/15 02:20:28] ppdet.engine INFO: Epoch: [15] [140/229] learning_rate: 0.397333 loss_vfl: 0.959390 loss_bbox: 0.374260 loss_dfl: 0.214662 loss: 1.553913 eta: 2 days, 14:30:24 batch_cost: 3.4364 data_cost: 0.0025 ips: 37.2482 images/s [10/15 02:21:38] ppdet.engine INFO: Epoch: [15] [160/229] learning_rate: 0.397303 loss_vfl: 0.962425 loss_bbox: 0.385504 loss_dfl: 0.220089 loss: 1.578715 eta: 2 days, 14:28:48 batch_cost: 3.3816 data_cost: 0.0024 ips: 37.8517 images/s [10/15 02:22:48] ppdet.engine INFO: Epoch: [15] [180/229] learning_rate: 0.397273 loss_vfl: 0.960923 loss_bbox: 0.388994 loss_dfl: 0.218509 loss: 1.580712 eta: 2 days, 14:26:55 batch_cost: 3.3317 data_cost: 0.0023 ips: 38.4188 images/s [10/15 02:23:59] ppdet.engine INFO: Epoch: [15] [200/229] learning_rate: 0.397243 loss_vfl: 0.962914 loss_bbox: 0.400832 loss_dfl: 0.228625 loss: 1.586133 eta: 2 days, 14:25:28 batch_cost: 3.4042 data_cost: 0.0024 ips: 37.6006 images/s [10/15 02:25:08] ppdet.engine INFO: Epoch: [15] [220/229] learning_rate: 0.397213 loss_vfl: 0.960990 loss_bbox: 0.390949 loss_dfl: 0.224878 loss: 1.577006 eta: 2 days, 14:23:26 batch_cost: 3.3043 data_cost: 0.0024 ips: 38.7371 images/s [10/15 02:26:00] ppdet.engine INFO: Epoch: [16] [ 0/229] learning_rate: 0.397199 loss_vfl: 0.958669 loss_bbox: 0.398855 loss_dfl: 0.228484 loss: 1.568685 eta: 2 days, 14:27:53 batch_cost: 4.1207 data_cost: 0.5394 ips: 31.0624 images/s [10/15 02:27:13] ppdet.engine INFO: Epoch: [16] [ 20/229] learning_rate: 0.397169 loss_vfl: 0.946396 loss_bbox: 0.388630 loss_dfl: 0.220079 loss: 1.574292 eta: 2 days, 14:26:53 batch_cost: 3.4846 data_cost: 0.0026 ips: 36.7334 images/s [10/15 02:28:26] ppdet.engine INFO: Epoch: [16] [ 40/229] learning_rate: 0.397138 loss_vfl: 0.961097 loss_bbox: 0.379795 loss_dfl: 0.218311 loss: 1.551254 eta: 2 days, 14:26:02 batch_cost: 3.5106 data_cost: 0.0026 ips: 36.4605 images/s [10/15 02:29:40] ppdet.engine INFO: Epoch: [16] [ 60/229] learning_rate: 0.397107 loss_vfl: 0.958337 loss_bbox: 0.386349 loss_dfl: 0.223662 loss: 1.580638 eta: 2 days, 14:25:16 batch_cost: 3.5243 data_cost: 0.0034 ips: 36.3193 images/s [10/15 02:30:51] ppdet.engine INFO: Epoch: [16] [ 80/229] learning_rate: 0.397076 loss_vfl: 0.957094 loss_bbox: 0.395498 loss_dfl: 0.230768 loss: 1.593100 eta: 2 days, 14:23:59 batch_cost: 3.4349 data_cost: 0.0023 ips: 37.2640 images/s [10/15 02:32:01] ppdet.engine INFO: Epoch: [16] [100/229] learning_rate: 0.397045 loss_vfl: 0.938446 loss_bbox: 0.394585 loss_dfl: 0.228417 loss: 1.574614 eta: 2 days, 14:22:07 batch_cost: 3.3335 data_cost: 0.0034 ips: 38.3986 images/s [10/15 02:33:11] ppdet.engine INFO: Epoch: [16] [120/229] learning_rate: 0.397013 loss_vfl: 0.987091 loss_bbox: 0.390336 loss_dfl: 0.230909 loss: 1.582086 eta: 2 days, 14:20:28 batch_cost: 3.3721 data_cost: 0.0026 ips: 37.9588 images/s [10/15 02:34:23] ppdet.engine INFO: Epoch: [16] [140/229] learning_rate: 0.396982 loss_vfl: 0.951194 loss_bbox: 0.387065 loss_dfl: 0.222709 loss: 1.551585 eta: 2 days, 14:19:09 batch_cost: 3.4291 data_cost: 0.0024 ips: 37.3281 images/s [10/15 02:35:35] ppdet.engine INFO: Epoch: [16] [160/229] learning_rate: 0.396950 loss_vfl: 0.957600 loss_bbox: 0.378659 loss_dfl: 0.221004 loss: 1.542811 eta: 2 days, 14:18:07 batch_cost: 3.4755 data_cost: 0.0030 ips: 36.8297 images/s [10/15 02:36:47] ppdet.engine INFO: Epoch: [16] [180/229] learning_rate: 0.396918 loss_vfl: 0.939590 loss_bbox: 0.392206 loss_dfl: 0.220786 loss: 1.559474 eta: 2 days, 14:16:46 batch_cost: 3.4249 data_cost: 0.0039 ips: 37.3739 images/s [10/15 02:37:59] ppdet.engine INFO: Epoch: [16] [200/229] learning_rate: 0.396886 loss_vfl: 0.952051 loss_bbox: 0.375950 loss_dfl: 0.223080 loss: 1.563048 eta: 2 days, 14:15:32 batch_cost: 3.4397 data_cost: 0.0025 ips: 37.2126 images/s [10/15 02:39:08] ppdet.engine INFO: Epoch: [16] [220/229] learning_rate: 0.396854 loss_vfl: 0.947386 loss_bbox: 0.394698 loss_dfl: 0.226578 loss: 1.562051 eta: 2 days, 14:13:44 batch_cost: 3.3415 data_cost: 0.0025 ips: 38.3061 images/s [10/15 02:40:04] ppdet.engine INFO: Epoch: [17] [ 0/229] learning_rate: 0.396839 loss_vfl: 0.939949 loss_bbox: 0.408260 loss_dfl: 0.232984 loss: 1.562510 eta: 2 days, 14:18:40 batch_cost: 4.3351 data_cost: 0.6228 ips: 29.5267 images/s [10/15 02:41:17] ppdet.engine INFO: Epoch: [17] [ 20/229] learning_rate: 0.396807 loss_vfl: 0.950598 loss_bbox: 0.363436 loss_dfl: 0.203586 loss: 1.510778 eta: 2 days, 14:17:50 batch_cost: 3.5171 data_cost: 0.0026 ips: 36.3934 images/s [10/15 02:42:29] ppdet.engine INFO: Epoch: [17] [ 40/229] learning_rate: 0.396774 loss_vfl: 0.955993 loss_bbox: 0.405923 loss_dfl: 0.222161 loss: 1.562080 eta: 2 days, 14:16:39 batch_cost: 3.4585 data_cost: 0.0024 ips: 37.0103 images/s [10/15 02:43:42] ppdet.engine INFO: Epoch: [17] [ 60/229] learning_rate: 0.396741 loss_vfl: 0.938329 loss_bbox: 0.381466 loss_dfl: 0.217730 loss: 1.533728 eta: 2 days, 14:15:33 batch_cost: 3.4705 data_cost: 0.0025 ips: 36.8827 images/s [10/15 02:44:52] ppdet.engine INFO: Epoch: [17] [ 80/229] learning_rate: 0.396708 loss_vfl: 0.949540 loss_bbox: 0.386441 loss_dfl: 0.222093 loss: 1.555851 eta: 2 days, 14:13:59 batch_cost: 3.3859 data_cost: 0.0025 ips: 37.8033 images/s [10/15 02:46:06] ppdet.engine INFO: Epoch: [17] [100/229] learning_rate: 0.396675 loss_vfl: 0.940357 loss_bbox: 0.383233 loss_dfl: 0.221605 loss: 1.544341 eta: 2 days, 14:13:06 batch_cost: 3.5103 data_cost: 0.0026 ips: 36.4642 images/s [10/15 02:47:16] ppdet.engine INFO: Epoch: [17] [120/229] learning_rate: 0.396642 loss_vfl: 0.949047 loss_bbox: 0.386957 loss_dfl: 0.217036 loss: 1.551326 eta: 2 days, 14:11:24 batch_cost: 3.3594 data_cost: 0.0024 ips: 38.1020 images/s [10/15 02:48:27] ppdet.engine INFO: Epoch: [17] [140/229] learning_rate: 0.396608 loss_vfl: 0.950622 loss_bbox: 0.386999 loss_dfl: 0.219864 loss: 1.545294 eta: 2 days, 14:10:03 batch_cost: 3.4270 data_cost: 0.0024 ips: 37.3508 images/s [10/15 02:49:40] ppdet.engine INFO: Epoch: [17] [160/229] learning_rate: 0.396575 loss_vfl: 0.960072 loss_bbox: 0.387516 loss_dfl: 0.217507 loss: 1.553402 eta: 2 days, 14:08:57 batch_cost: 3.4688 data_cost: 0.0025 ips: 36.9008 images/s [10/15 02:50:51] ppdet.engine INFO: Epoch: [17] [180/229] learning_rate: 0.396541 loss_vfl: 0.938277 loss_bbox: 0.378079 loss_dfl: 0.216709 loss: 1.538165 eta: 2 days, 14:07:38 batch_cost: 3.4317 data_cost: 0.0025 ips: 37.2997 images/s [10/15 02:52:03] ppdet.engine INFO: Epoch: [17] [200/229] learning_rate: 0.396507 loss_vfl: 0.952162 loss_bbox: 0.376806 loss_dfl: 0.221046 loss: 1.552440 eta: 2 days, 14:06:15 batch_cost: 3.4169 data_cost: 0.0025 ips: 37.4606 images/s [10/15 02:53:11] ppdet.engine INFO: Epoch: [17] [220/229] learning_rate: 0.396473 loss_vfl: 0.959644 loss_bbox: 0.388871 loss_dfl: 0.220193 loss: 1.549378 eta: 2 days, 14:04:12 batch_cost: 3.2893 data_cost: 0.0024 ips: 38.9145 images/s [10/15 02:54:04] ppdet.engine INFO: Epoch: [18] [ 0/229] learning_rate: 0.396457 loss_vfl: 0.958582 loss_bbox: 0.379566 loss_dfl: 0.222370 loss: 1.555342 eta: 2 days, 14:08:01 batch_cost: 4.1530 data_cost: 0.7974 ips: 30.8211 images/s [10/15 02:55:16] ppdet.engine INFO: Epoch: [18] [ 20/229] learning_rate: 0.396423 loss_vfl: 0.941799 loss_bbox: 0.386691 loss_dfl: 0.220060 loss: 1.563169 eta: 2 days, 14:06:55 batch_cost: 3.4735 data_cost: 0.0025 ips: 36.8507 images/s [10/15 02:56:27] ppdet.engine INFO: Epoch: [18] [ 40/229] learning_rate: 0.396389 loss_vfl: 0.933859 loss_bbox: 0.407930 loss_dfl: 0.225356 loss: 1.586354 eta: 2 days, 14:05:17 batch_cost: 3.3712 data_cost: 0.0024 ips: 37.9691 images/s [10/15 02:57:38] ppdet.engine INFO: Epoch: [18] [ 60/229] learning_rate: 0.396354 loss_vfl: 0.934497 loss_bbox: 0.382260 loss_dfl: 0.217866 loss: 1.549407 eta: 2 days, 14:03:57 batch_cost: 3.4278 data_cost: 0.0023 ips: 37.3420 images/s [10/15 02:58:49] ppdet.engine INFO: Epoch: [18] [ 80/229] learning_rate: 0.396319 loss_vfl: 0.938860 loss_bbox: 0.379074 loss_dfl: 0.213516 loss: 1.543861 eta: 2 days, 14:02:27 batch_cost: 3.3982 data_cost: 0.0024 ips: 37.6674 images/s [10/15 02:59:59] ppdet.engine INFO: Epoch: [18] [100/229] learning_rate: 0.396284 loss_vfl: 0.928559 loss_bbox: 0.374353 loss_dfl: 0.217148 loss: 1.525529 eta: 2 days, 14:00:47 batch_cost: 3.3603 data_cost: 0.0023 ips: 38.0917 images/s [10/15 03:01:08] ppdet.engine INFO: Epoch: [18] [120/229] learning_rate: 0.396249 loss_vfl: 0.940281 loss_bbox: 0.381364 loss_dfl: 0.214515 loss: 1.534701 eta: 2 days, 13:58:49 batch_cost: 3.3022 data_cost: 0.0025 ips: 38.7621 images/s [10/15 03:02:17] ppdet.engine INFO: Epoch: [18] [140/229] learning_rate: 0.396213 loss_vfl: 0.953738 loss_bbox: 0.376354 loss_dfl: 0.220061 loss: 1.556805 eta: 2 days, 13:56:54 batch_cost: 3.3095 data_cost: 0.0023 ips: 38.6767 images/s [10/15 03:03:28] ppdet.engine INFO: Epoch: [18] [160/229] learning_rate: 0.396178 loss_vfl: 0.961619 loss_bbox: 0.374370 loss_dfl: 0.217548 loss: 1.547498 eta: 2 days, 13:55:26 batch_cost: 3.3998 data_cost: 0.0024 ips: 37.6496 images/s [10/15 03:04:37] ppdet.engine INFO: Epoch: [18] [180/229] learning_rate: 0.396142 loss_vfl: 0.957992 loss_bbox: 0.384135 loss_dfl: 0.214788 loss: 1.564170 eta: 2 days, 13:53:34 batch_cost: 3.3175 data_cost: 0.0023 ips: 38.5833 images/s [10/15 03:05:49] ppdet.engine INFO: Epoch: [18] [200/229] learning_rate: 0.396106 loss_vfl: 0.934168 loss_bbox: 0.399931 loss_dfl: 0.219440 loss: 1.553693 eta: 2 days, 13:52:17 batch_cost: 3.4344 data_cost: 0.0025 ips: 37.2702 images/s [10/15 03:07:00] ppdet.engine INFO: Epoch: [18] [220/229] learning_rate: 0.396070 loss_vfl: 0.954982 loss_bbox: 0.370153 loss_dfl: 0.218170 loss: 1.568630 eta: 2 days, 13:50:44 batch_cost: 3.3797 data_cost: 0.0023 ips: 37.8737 images/s [10/15 03:07:56] ppdet.engine INFO: Epoch: [19] [ 0/229] learning_rate: 0.396054 loss_vfl: 0.954982 loss_bbox: 0.369350 loss_dfl: 0.218768 loss: 1.562874 eta: 2 days, 13:55:18 batch_cost: 4.4258 data_cost: 0.5629 ips: 28.9215 images/s [10/15 03:09:09] ppdet.engine INFO: Epoch: [19] [ 20/229] learning_rate: 0.396018 loss_vfl: 0.937040 loss_bbox: 0.396684 loss_dfl: 0.231951 loss: 1.577664 eta: 2 days, 13:54:13 batch_cost: 3.4760 data_cost: 0.0024 ips: 36.8238 images/s [10/15 03:10:20] ppdet.engine INFO: Epoch: [19] [ 40/229] learning_rate: 0.395982 loss_vfl: 0.934476 loss_bbox: 0.381481 loss_dfl: 0.215376 loss: 1.528211 eta: 2 days, 13:52:51 batch_cost: 3.4238 data_cost: 0.0024 ips: 37.3856 images/s [10/15 03:11:30] ppdet.engine INFO: Epoch: [19] [ 60/229] learning_rate: 0.395945 loss_vfl: 0.943287 loss_bbox: 0.379489 loss_dfl: 0.219125 loss: 1.552875 eta: 2 days, 13:51:11 batch_cost: 3.3565 data_cost: 0.0024 ips: 38.1355 images/s [10/15 03:12:42] ppdet.engine INFO: Epoch: [19] [ 80/229] learning_rate: 0.395908 loss_vfl: 0.936914 loss_bbox: 0.372789 loss_dfl: 0.212585 loss: 1.518211 eta: 2 days, 13:49:56 batch_cost: 3.4435 data_cost: 0.0024 ips: 37.1715 images/s [10/15 03:13:52] ppdet.engine INFO: Epoch: [19] [100/229] learning_rate: 0.395871 loss_vfl: 0.955251 loss_bbox: 0.365933 loss_dfl: 0.220684 loss: 1.549495 eta: 2 days, 13:48:16 batch_cost: 3.3593 data_cost: 0.0029 ips: 38.1028 images/s [10/15 03:15:04] ppdet.engine INFO: Epoch: [19] [120/229] learning_rate: 0.395834 loss_vfl: 0.957284 loss_bbox: 0.383716 loss_dfl: 0.220599 loss: 1.560756 eta: 2 days, 13:47:00 batch_cost: 3.4368 data_cost: 0.0032 ips: 37.2438 images/s [10/15 03:16:15] ppdet.engine INFO: Epoch: [19] [140/229] learning_rate: 0.395797 loss_vfl: 0.957626 loss_bbox: 0.382342 loss_dfl: 0.216374 loss: 1.553195 eta: 2 days, 13:45:37 batch_cost: 3.4173 data_cost: 0.0024 ips: 37.4568 images/s [10/15 03:17:25] ppdet.engine INFO: Epoch: [19] [160/229] learning_rate: 0.395760 loss_vfl: 0.946808 loss_bbox: 0.375710 loss_dfl: 0.223516 loss: 1.551064 eta: 2 days, 13:43:50 batch_cost: 3.3289 data_cost: 0.0024 ips: 38.4512 images/s [10/15 03:18:35] ppdet.engine INFO: Epoch: [19] [180/229] learning_rate: 0.395722 loss_vfl: 0.952908 loss_bbox: 0.386029 loss_dfl: 0.218759 loss: 1.561666 eta: 2 days, 13:42:14 batch_cost: 3.3677 data_cost: 0.0023 ips: 38.0078 images/s [10/15 03:19:44] ppdet.engine INFO: Epoch: [19] [200/229] learning_rate: 0.395684 loss_vfl: 0.938064 loss_bbox: 0.372998 loss_dfl: 0.211905 loss: 1.530811 eta: 2 days, 13:40:19 batch_cost: 3.2981 data_cost: 0.0023 ips: 38.8100 images/s [10/15 03:20:50] ppdet.engine INFO: Epoch: [19] [220/229] learning_rate: 0.395647 loss_vfl: 0.945019 loss_bbox: 0.401405 loss_dfl: 0.224437 loss: 1.568591 eta: 2 days, 13:37:44 batch_cost: 3.1576 data_cost: 0.0023 ips: 40.5369 images/s [10/15 03:21:16] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 03:21:17] ppdet.engine INFO: Eval iter: 0 [10/15 03:21:57] ppdet.engine INFO: Eval iter: 100 [10/15 03:22:20] ppdet.engine INFO: Eval iter: 200 [10/15 03:22:43] ppdet.engine INFO: Eval iter: 300 [10/15 03:23:08] ppdet.engine INFO: Eval iter: 400 [10/15 03:23:31] ppdet.engine INFO: Eval iter: 500 [10/15 03:23:54] ppdet.engine INFO: Eval iter: 600 [10/15 03:24:14] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.67s) creating index... index created! [10/15 03:24:15] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.63s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=96.00s). Accumulating evaluation results... DONE (t=17.21s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.203 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.332 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.208 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.059 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.191 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.362 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.213 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.336 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.359 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.100 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.381 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.605 [10/15 03:26:15] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.296776269911067 [10/15 03:26:15] ppdet.engine INFO: Best test bbox ap is 0.203. [10/15 03:26:15] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 03:26:18] ppdet.engine INFO: Epoch: [20] [ 0/229] learning_rate: 0.395630 loss_vfl: 0.945910 loss_bbox: 0.397750 loss_dfl: 0.221204 loss: 1.566236 eta: 2 days, 13:35:41 batch_cost: 2.8796 data_cost: 0.0022 ips: 44.4504 images/s [10/15 03:27:30] ppdet.engine INFO: Epoch: [20] [ 20/229] learning_rate: 0.395591 loss_vfl: 0.945694 loss_bbox: 0.355236 loss_dfl: 0.212603 loss: 1.524562 eta: 2 days, 13:34:28 batch_cost: 3.4456 data_cost: 0.0026 ips: 37.1488 images/s [10/15 03:28:39] ppdet.engine INFO: Epoch: [20] [ 40/229] learning_rate: 0.395553 loss_vfl: 0.944172 loss_bbox: 0.375613 loss_dfl: 0.214364 loss: 1.522507 eta: 2 days, 13:32:40 batch_cost: 3.3165 data_cost: 0.0024 ips: 38.5952 images/s [10/15 03:29:49] ppdet.engine INFO: Epoch: [20] [ 60/229] learning_rate: 0.395515 loss_vfl: 0.944479 loss_bbox: 0.381362 loss_dfl: 0.219267 loss: 1.553473 eta: 2 days, 13:30:56 batch_cost: 3.3337 data_cost: 0.0023 ips: 38.3962 images/s [10/15 03:31:00] ppdet.engine INFO: Epoch: [20] [ 80/229] learning_rate: 0.395476 loss_vfl: 0.947215 loss_bbox: 0.381809 loss_dfl: 0.218814 loss: 1.533323 eta: 2 days, 13:29:34 batch_cost: 3.4084 data_cost: 0.0024 ips: 37.5544 images/s [10/15 03:32:10] ppdet.engine INFO: Epoch: [20] [100/229] learning_rate: 0.395437 loss_vfl: 0.928191 loss_bbox: 0.393759 loss_dfl: 0.221771 loss: 1.537395 eta: 2 days, 13:27:59 batch_cost: 3.3645 data_cost: 0.0024 ips: 38.0445 images/s [10/15 03:33:20] ppdet.engine INFO: Epoch: [20] [120/229] learning_rate: 0.395398 loss_vfl: 0.942239 loss_bbox: 0.373016 loss_dfl: 0.221482 loss: 1.543105 eta: 2 days, 13:26:13 batch_cost: 3.3181 data_cost: 0.0023 ips: 38.5765 images/s [10/15 03:34:32] ppdet.engine INFO: Epoch: [20] [140/229] learning_rate: 0.395359 loss_vfl: 0.936997 loss_bbox: 0.372505 loss_dfl: 0.213786 loss: 1.538056 eta: 2 days, 13:25:08 batch_cost: 3.4717 data_cost: 0.0025 ips: 36.8697 images/s [10/15 03:35:43] ppdet.engine INFO: Epoch: [20] [160/229] learning_rate: 0.395320 loss_vfl: 0.952844 loss_bbox: 0.386041 loss_dfl: 0.219801 loss: 1.557588 eta: 2 days, 13:23:44 batch_cost: 3.4019 data_cost: 0.0025 ips: 37.6265 images/s [10/15 03:36:53] ppdet.engine INFO: Epoch: [20] [180/229] learning_rate: 0.395281 loss_vfl: 0.930132 loss_bbox: 0.392587 loss_dfl: 0.221698 loss: 1.553769 eta: 2 days, 13:21:59 batch_cost: 3.3228 data_cost: 0.0023 ips: 38.5217 images/s [10/15 03:38:02] ppdet.engine INFO: Epoch: [20] [200/229] learning_rate: 0.395241 loss_vfl: 0.932607 loss_bbox: 0.367197 loss_dfl: 0.210050 loss: 1.515477 eta: 2 days, 13:20:14 batch_cost: 3.3180 data_cost: 0.0025 ips: 38.5773 images/s [10/15 03:39:09] ppdet.engine INFO: Epoch: [20] [220/229] learning_rate: 0.395201 loss_vfl: 0.961688 loss_bbox: 0.392395 loss_dfl: 0.225658 loss: 1.569596 eta: 2 days, 13:17:57 batch_cost: 3.2016 data_cost: 0.0023 ips: 39.9805 images/s [10/15 03:39:59] ppdet.engine INFO: Epoch: [21] [ 0/229] learning_rate: 0.395183 loss_vfl: 0.945844 loss_bbox: 0.387158 loss_dfl: 0.222023 loss: 1.552534 eta: 2 days, 13:20:38 batch_cost: 3.9254 data_cost: 0.4971 ips: 32.6080 images/s [10/15 03:41:11] ppdet.engine INFO: Epoch: [21] [ 20/229] learning_rate: 0.395143 loss_vfl: 0.942025 loss_bbox: 0.363935 loss_dfl: 0.210942 loss: 1.526668 eta: 2 days, 13:19:29 batch_cost: 3.4577 data_cost: 0.0025 ips: 37.0190 images/s [10/15 03:42:25] ppdet.engine INFO: Epoch: [21] [ 40/229] learning_rate: 0.395103 loss_vfl: 0.957818 loss_bbox: 0.375076 loss_dfl: 0.217744 loss: 1.540621 eta: 2 days, 13:18:42 batch_cost: 3.5405 data_cost: 0.0025 ips: 36.1531 images/s [10/15 03:43:36] ppdet.engine INFO: Epoch: [21] [ 60/229] learning_rate: 0.395063 loss_vfl: 0.949594 loss_bbox: 0.375219 loss_dfl: 0.215551 loss: 1.516073 eta: 2 days, 13:17:27 batch_cost: 3.4339 data_cost: 0.0025 ips: 37.2756 images/s [10/15 03:44:46] ppdet.engine INFO: Epoch: [21] [ 80/229] learning_rate: 0.395022 loss_vfl: 0.946001 loss_bbox: 0.350182 loss_dfl: 0.206465 loss: 1.506732 eta: 2 days, 13:15:41 batch_cost: 3.3169 data_cost: 0.0024 ips: 38.5906 images/s [10/15 03:45:57] ppdet.engine INFO: Epoch: [21] [100/229] learning_rate: 0.394982 loss_vfl: 0.952676 loss_bbox: 0.359654 loss_dfl: 0.215518 loss: 1.538596 eta: 2 days, 13:14:22 batch_cost: 3.4176 data_cost: 0.0034 ips: 37.4530 images/s [10/15 03:47:08] ppdet.engine INFO: Epoch: [21] [120/229] learning_rate: 0.394941 loss_vfl: 0.929673 loss_bbox: 0.364518 loss_dfl: 0.212581 loss: 1.527956 eta: 2 days, 13:12:53 batch_cost: 3.3775 data_cost: 0.0031 ips: 37.8976 images/s [10/15 03:48:18] ppdet.engine INFO: Epoch: [21] [140/229] learning_rate: 0.394900 loss_vfl: 0.945901 loss_bbox: 0.358485 loss_dfl: 0.211641 loss: 1.518760 eta: 2 days, 13:11:21 batch_cost: 3.3657 data_cost: 0.0025 ips: 38.0304 images/s [10/15 03:49:28] ppdet.engine INFO: Epoch: [21] [160/229] learning_rate: 0.394859 loss_vfl: 0.943385 loss_bbox: 0.377928 loss_dfl: 0.221382 loss: 1.545468 eta: 2 days, 13:09:48 batch_cost: 3.3620 data_cost: 0.0025 ips: 38.0726 images/s [10/15 03:50:37] ppdet.engine INFO: Epoch: [21] [180/229] learning_rate: 0.394818 loss_vfl: 0.940722 loss_bbox: 0.379684 loss_dfl: 0.217351 loss: 1.539977 eta: 2 days, 13:08:03 batch_cost: 3.3168 data_cost: 0.0037 ips: 38.5914 images/s [10/15 03:51:48] ppdet.engine INFO: Epoch: [21] [200/229] learning_rate: 0.394776 loss_vfl: 0.945183 loss_bbox: 0.359089 loss_dfl: 0.212133 loss: 1.517874 eta: 2 days, 13:06:40 batch_cost: 3.4010 data_cost: 0.0025 ips: 37.6356 images/s [10/15 03:52:59] ppdet.engine INFO: Epoch: [21] [220/229] learning_rate: 0.394735 loss_vfl: 0.937858 loss_bbox: 0.368719 loss_dfl: 0.208189 loss: 1.518510 eta: 2 days, 13:05:20 batch_cost: 3.4076 data_cost: 0.0024 ips: 37.5633 images/s [10/15 03:53:54] ppdet.engine INFO: Epoch: [22] [ 0/229] learning_rate: 0.394716 loss_vfl: 0.942638 loss_bbox: 0.370065 loss_dfl: 0.213282 loss: 1.522451 eta: 2 days, 13:08:44 batch_cost: 4.3008 data_cost: 0.7669 ips: 29.7616 images/s [10/15 03:55:10] ppdet.engine INFO: Epoch: [22] [ 20/229] learning_rate: 0.394674 loss_vfl: 0.931351 loss_bbox: 0.366600 loss_dfl: 0.213976 loss: 1.515102 eta: 2 days, 13:08:18 batch_cost: 3.6272 data_cost: 0.0029 ips: 35.2887 images/s [10/15 03:56:20] ppdet.engine INFO: Epoch: [22] [ 40/229] learning_rate: 0.394632 loss_vfl: 0.941364 loss_bbox: 0.371771 loss_dfl: 0.211396 loss: 1.515747 eta: 2 days, 13:06:51 batch_cost: 3.3862 data_cost: 0.0030 ips: 37.8001 images/s [10/15 03:57:31] ppdet.engine INFO: Epoch: [22] [ 60/229] learning_rate: 0.394590 loss_vfl: 0.931110 loss_bbox: 0.383921 loss_dfl: 0.215997 loss: 1.532219 eta: 2 days, 13:05:23 batch_cost: 3.3844 data_cost: 0.0024 ips: 37.8208 images/s [10/15 03:58:41] ppdet.engine INFO: Epoch: [22] [ 80/229] learning_rate: 0.394547 loss_vfl: 0.931156 loss_bbox: 0.362587 loss_dfl: 0.205631 loss: 1.497540 eta: 2 days, 13:03:49 batch_cost: 3.3576 data_cost: 0.0024 ips: 38.1221 images/s [10/15 03:59:51] ppdet.engine INFO: Epoch: [22] [100/229] learning_rate: 0.394505 loss_vfl: 0.936289 loss_bbox: 0.392719 loss_dfl: 0.223945 loss: 1.539157 eta: 2 days, 13:02:16 batch_cost: 3.3609 data_cost: 0.0025 ips: 38.0846 images/s [10/15 04:01:02] ppdet.engine INFO: Epoch: [22] [120/229] learning_rate: 0.394462 loss_vfl: 0.955677 loss_bbox: 0.378281 loss_dfl: 0.216724 loss: 1.550707 eta: 2 days, 13:00:51 batch_cost: 3.3934 data_cost: 0.0023 ips: 37.7202 images/s [10/15 04:02:12] ppdet.engine INFO: Epoch: [22] [140/229] learning_rate: 0.394419 loss_vfl: 0.955329 loss_bbox: 0.380118 loss_dfl: 0.220420 loss: 1.556216 eta: 2 days, 12:59:15 batch_cost: 3.3479 data_cost: 0.0031 ips: 38.2328 images/s [10/15 04:03:24] ppdet.engine INFO: Epoch: [22] [160/229] learning_rate: 0.394376 loss_vfl: 0.931100 loss_bbox: 0.373345 loss_dfl: 0.213828 loss: 1.528199 eta: 2 days, 12:58:05 batch_cost: 3.4513 data_cost: 0.0025 ips: 37.0874 images/s [10/15 04:04:35] ppdet.engine INFO: Epoch: [22] [180/229] learning_rate: 0.394333 loss_vfl: 0.932420 loss_bbox: 0.376068 loss_dfl: 0.215302 loss: 1.523910 eta: 2 days, 12:56:39 batch_cost: 3.3867 data_cost: 0.0023 ips: 37.7952 images/s [10/15 04:05:45] ppdet.engine INFO: Epoch: [22] [200/229] learning_rate: 0.394290 loss_vfl: 0.943900 loss_bbox: 0.382413 loss_dfl: 0.216635 loss: 1.541842 eta: 2 days, 12:55:10 batch_cost: 3.3727 data_cost: 0.0025 ips: 37.9513 images/s [10/15 04:06:52] ppdet.engine INFO: Epoch: [22] [220/229] learning_rate: 0.394246 loss_vfl: 0.943104 loss_bbox: 0.383111 loss_dfl: 0.219940 loss: 1.533835 eta: 2 days, 12:52:58 batch_cost: 3.1977 data_cost: 0.0023 ips: 40.0290 images/s [10/15 04:07:45] ppdet.engine INFO: Epoch: [23] [ 0/229] learning_rate: 0.394227 loss_vfl: 0.938299 loss_bbox: 0.385212 loss_dfl: 0.224391 loss: 1.542875 eta: 2 days, 12:55:49 batch_cost: 4.0841 data_cost: 0.7561 ips: 31.3413 images/s [10/15 04:08:58] ppdet.engine INFO: Epoch: [23] [ 20/229] learning_rate: 0.394183 loss_vfl: 0.943927 loss_bbox: 0.389154 loss_dfl: 0.222026 loss: 1.550611 eta: 2 days, 12:54:47 batch_cost: 3.4918 data_cost: 0.0028 ips: 36.6577 images/s [10/15 04:10:09] ppdet.engine INFO: Epoch: [23] [ 40/229] learning_rate: 0.394139 loss_vfl: 0.930104 loss_bbox: 0.394531 loss_dfl: 0.220984 loss: 1.537739 eta: 2 days, 12:53:25 batch_cost: 3.4015 data_cost: 0.0029 ips: 37.6300 images/s [10/15 04:11:20] ppdet.engine INFO: Epoch: [23] [ 60/229] learning_rate: 0.394095 loss_vfl: 0.934857 loss_bbox: 0.365081 loss_dfl: 0.210500 loss: 1.502387 eta: 2 days, 12:52:04 batch_cost: 3.4107 data_cost: 0.0023 ips: 37.5291 images/s [10/15 04:12:31] ppdet.engine INFO: Epoch: [23] [ 80/229] learning_rate: 0.394051 loss_vfl: 0.938421 loss_bbox: 0.384048 loss_dfl: 0.223047 loss: 1.556917 eta: 2 days, 12:50:48 batch_cost: 3.4257 data_cost: 0.0024 ips: 37.3644 images/s [10/15 04:13:41] ppdet.engine INFO: Epoch: [23] [100/229] learning_rate: 0.394007 loss_vfl: 0.940800 loss_bbox: 0.373343 loss_dfl: 0.211079 loss: 1.537382 eta: 2 days, 12:49:12 batch_cost: 3.3465 data_cost: 0.0024 ips: 38.2486 images/s [10/15 04:14:55] ppdet.engine INFO: Epoch: [23] [120/229] learning_rate: 0.393962 loss_vfl: 0.931827 loss_bbox: 0.381387 loss_dfl: 0.221307 loss: 1.535138 eta: 2 days, 12:48:15 batch_cost: 3.5079 data_cost: 0.0025 ips: 36.4890 images/s [10/15 04:16:05] ppdet.engine INFO: Epoch: [23] [140/229] learning_rate: 0.393917 loss_vfl: 0.931571 loss_bbox: 0.383048 loss_dfl: 0.216499 loss: 1.531518 eta: 2 days, 12:46:50 batch_cost: 3.3892 data_cost: 0.0024 ips: 37.7671 images/s [10/15 04:17:16] ppdet.engine INFO: Epoch: [23] [160/229] learning_rate: 0.393873 loss_vfl: 0.937944 loss_bbox: 0.367478 loss_dfl: 0.212627 loss: 1.529294 eta: 2 days, 12:45:23 batch_cost: 3.3822 data_cost: 0.0026 ips: 37.8451 images/s [10/15 04:18:28] ppdet.engine INFO: Epoch: [23] [180/229] learning_rate: 0.393828 loss_vfl: 0.917845 loss_bbox: 0.375654 loss_dfl: 0.210930 loss: 1.489723 eta: 2 days, 12:44:08 batch_cost: 3.4303 data_cost: 0.0025 ips: 37.3141 images/s [10/15 04:19:39] ppdet.engine INFO: Epoch: [23] [200/229] learning_rate: 0.393782 loss_vfl: 0.941089 loss_bbox: 0.375928 loss_dfl: 0.214325 loss: 1.512611 eta: 2 days, 12:42:48 batch_cost: 3.4098 data_cost: 0.0025 ips: 37.5394 images/s [10/15 04:20:45] ppdet.engine INFO: Epoch: [23] [220/229] learning_rate: 0.393737 loss_vfl: 0.944399 loss_bbox: 0.382874 loss_dfl: 0.223564 loss: 1.556806 eta: 2 days, 12:40:27 batch_cost: 3.1422 data_cost: 0.0025 ips: 40.7354 images/s [10/15 04:21:38] ppdet.engine INFO: Epoch: [24] [ 0/229] learning_rate: 0.393717 loss_vfl: 0.951682 loss_bbox: 0.375459 loss_dfl: 0.218174 loss: 1.541127 eta: 2 days, 12:43:27 batch_cost: 4.1158 data_cost: 0.7303 ips: 31.0994 images/s [10/15 04:22:50] ppdet.engine INFO: Epoch: [24] [ 20/229] learning_rate: 0.393671 loss_vfl: 0.933256 loss_bbox: 0.375133 loss_dfl: 0.216889 loss: 1.518806 eta: 2 days, 12:42:15 batch_cost: 3.4460 data_cost: 0.0025 ips: 37.1442 images/s [10/15 04:24:03] ppdet.engine INFO: Epoch: [24] [ 40/229] learning_rate: 0.393625 loss_vfl: 0.939106 loss_bbox: 0.379761 loss_dfl: 0.219563 loss: 1.544341 eta: 2 days, 12:41:07 batch_cost: 3.4669 data_cost: 0.0025 ips: 36.9203 images/s [10/15 04:25:16] ppdet.engine INFO: Epoch: [24] [ 60/229] learning_rate: 0.393579 loss_vfl: 0.932595 loss_bbox: 0.377678 loss_dfl: 0.212455 loss: 1.514971 eta: 2 days, 12:40:16 batch_cost: 3.5377 data_cost: 0.0026 ips: 36.1814 images/s [10/15 04:26:28] ppdet.engine INFO: Epoch: [24] [ 80/229] learning_rate: 0.393533 loss_vfl: 0.931804 loss_bbox: 0.365097 loss_dfl: 0.213758 loss: 1.518035 eta: 2 days, 12:39:00 batch_cost: 3.4281 data_cost: 0.0026 ips: 37.3388 images/s [10/15 04:27:38] ppdet.engine INFO: Epoch: [24] [100/229] learning_rate: 0.393487 loss_vfl: 0.944184 loss_bbox: 0.375082 loss_dfl: 0.216094 loss: 1.536440 eta: 2 days, 12:37:33 batch_cost: 3.3817 data_cost: 0.0024 ips: 37.8513 images/s [10/15 04:28:51] ppdet.engine INFO: Epoch: [24] [120/229] learning_rate: 0.393441 loss_vfl: 0.928431 loss_bbox: 0.379135 loss_dfl: 0.218819 loss: 1.536528 eta: 2 days, 12:36:33 batch_cost: 3.4981 data_cost: 0.0023 ips: 36.5913 images/s [10/15 04:30:04] ppdet.engine INFO: Epoch: [24] [140/229] learning_rate: 0.393394 loss_vfl: 0.933183 loss_bbox: 0.392285 loss_dfl: 0.227935 loss: 1.560780 eta: 2 days, 12:35:24 batch_cost: 3.4619 data_cost: 0.0030 ips: 36.9744 images/s [10/15 04:31:16] ppdet.engine INFO: Epoch: [24] [160/229] learning_rate: 0.393348 loss_vfl: 0.940696 loss_bbox: 0.382951 loss_dfl: 0.214888 loss: 1.530011 eta: 2 days, 12:34:18 batch_cost: 3.4693 data_cost: 0.0024 ips: 36.8948 images/s [10/15 04:32:27] ppdet.engine INFO: Epoch: [24] [180/229] learning_rate: 0.393301 loss_vfl: 0.932181 loss_bbox: 0.382386 loss_dfl: 0.220742 loss: 1.538627 eta: 2 days, 12:33:02 batch_cost: 3.4291 data_cost: 0.0024 ips: 37.3278 images/s [10/15 04:33:38] ppdet.engine INFO: Epoch: [24] [200/229] learning_rate: 0.393254 loss_vfl: 0.961564 loss_bbox: 0.358378 loss_dfl: 0.204251 loss: 1.517758 eta: 2 days, 12:31:34 batch_cost: 3.3765 data_cost: 0.0023 ips: 37.9094 images/s [10/15 04:34:46] ppdet.engine INFO: Epoch: [24] [220/229] learning_rate: 0.393206 loss_vfl: 0.936612 loss_bbox: 0.365201 loss_dfl: 0.211776 loss: 1.506956 eta: 2 days, 12:29:45 batch_cost: 3.2773 data_cost: 0.0025 ips: 39.0560 images/s [10/15 04:35:42] ppdet.engine INFO: Epoch: [25] [ 0/229] learning_rate: 0.393185 loss_vfl: 0.938636 loss_bbox: 0.363571 loss_dfl: 0.215806 loss: 1.526491 eta: 2 days, 12:32:49 batch_cost: 4.2249 data_cost: 0.5846 ips: 30.2964 images/s [10/15 04:36:54] ppdet.engine INFO: Epoch: [25] [ 20/229] learning_rate: 0.393138 loss_vfl: 0.922326 loss_bbox: 0.375024 loss_dfl: 0.216654 loss: 1.527237 eta: 2 days, 12:31:48 batch_cost: 3.4989 data_cost: 0.0025 ips: 36.5833 images/s [10/15 04:38:05] ppdet.engine INFO: Epoch: [25] [ 40/229] learning_rate: 0.393090 loss_vfl: 0.935367 loss_bbox: 0.363893 loss_dfl: 0.217188 loss: 1.506430 eta: 2 days, 12:30:20 batch_cost: 3.3765 data_cost: 0.0025 ips: 37.9096 images/s [10/15 04:39:16] ppdet.engine INFO: Epoch: [25] [ 60/229] learning_rate: 0.393042 loss_vfl: 0.936041 loss_bbox: 0.373812 loss_dfl: 0.219538 loss: 1.527899 eta: 2 days, 12:28:56 batch_cost: 3.3929 data_cost: 0.0042 ips: 37.7255 images/s [10/15 04:40:27] ppdet.engine INFO: Epoch: [25] [ 80/229] learning_rate: 0.392995 loss_vfl: 0.937274 loss_bbox: 0.384998 loss_dfl: 0.216296 loss: 1.549905 eta: 2 days, 12:27:31 batch_cost: 3.3882 data_cost: 0.0023 ips: 37.7783 images/s [10/15 04:41:38] ppdet.engine INFO: Epoch: [25] [100/229] learning_rate: 0.392946 loss_vfl: 0.924618 loss_bbox: 0.379340 loss_dfl: 0.217302 loss: 1.525652 eta: 2 days, 12:26:10 batch_cost: 3.4071 data_cost: 0.0025 ips: 37.5682 images/s [10/15 04:42:47] ppdet.engine INFO: Epoch: [25] [120/229] learning_rate: 0.392898 loss_vfl: 0.926166 loss_bbox: 0.373678 loss_dfl: 0.212721 loss: 1.518994 eta: 2 days, 12:24:27 batch_cost: 3.3044 data_cost: 0.0024 ips: 38.7366 images/s [10/15 04:43:58] ppdet.engine INFO: Epoch: [25] [140/229] learning_rate: 0.392850 loss_vfl: 0.932922 loss_bbox: 0.378975 loss_dfl: 0.217808 loss: 1.530349 eta: 2 days, 12:23:10 batch_cost: 3.4234 data_cost: 0.0025 ips: 37.3893 images/s [10/15 04:45:10] ppdet.engine INFO: Epoch: [25] [160/229] learning_rate: 0.392801 loss_vfl: 0.933400 loss_bbox: 0.376960 loss_dfl: 0.214948 loss: 1.507025 eta: 2 days, 12:22:01 batch_cost: 3.4600 data_cost: 0.0034 ips: 36.9941 images/s [10/15 04:46:21] ppdet.engine INFO: Epoch: [25] [180/229] learning_rate: 0.392753 loss_vfl: 0.927578 loss_bbox: 0.365269 loss_dfl: 0.215738 loss: 1.513843 eta: 2 days, 12:20:37 batch_cost: 3.3909 data_cost: 0.0024 ips: 37.7478 images/s [10/15 04:47:32] ppdet.engine INFO: Epoch: [25] [200/229] learning_rate: 0.392704 loss_vfl: 0.925941 loss_bbox: 0.367882 loss_dfl: 0.213228 loss: 1.511939 eta: 2 days, 12:19:16 batch_cost: 3.4015 data_cost: 0.0023 ips: 37.6305 images/s [10/15 04:48:40] ppdet.engine INFO: Epoch: [25] [220/229] learning_rate: 0.392655 loss_vfl: 0.943985 loss_bbox: 0.369964 loss_dfl: 0.213900 loss: 1.527965 eta: 2 days, 12:17:25 batch_cost: 3.2614 data_cost: 0.0024 ips: 39.2473 images/s [10/15 04:49:33] ppdet.engine INFO: Epoch: [26] [ 0/229] learning_rate: 0.392633 loss_vfl: 0.934954 loss_bbox: 0.379888 loss_dfl: 0.220223 loss: 1.540986 eta: 2 days, 12:19:56 batch_cost: 4.1176 data_cost: 0.5544 ips: 31.0859 images/s [10/15 04:50:45] ppdet.engine INFO: Epoch: [26] [ 20/229] learning_rate: 0.392583 loss_vfl: 0.945878 loss_bbox: 0.374201 loss_dfl: 0.215763 loss: 1.530124 eta: 2 days, 12:18:48 batch_cost: 3.4675 data_cost: 0.0028 ips: 36.9139 images/s [10/15 04:51:57] ppdet.engine INFO: Epoch: [26] [ 40/229] learning_rate: 0.392534 loss_vfl: 0.931524 loss_bbox: 0.374120 loss_dfl: 0.213533 loss: 1.518214 eta: 2 days, 12:17:36 batch_cost: 3.4493 data_cost: 0.0026 ips: 37.1091 images/s [10/15 04:53:06] ppdet.engine INFO: Epoch: [26] [ 60/229] learning_rate: 0.392484 loss_vfl: 0.917299 loss_bbox: 0.369862 loss_dfl: 0.212445 loss: 1.519873 eta: 2 days, 12:15:49 batch_cost: 3.2807 data_cost: 0.0027 ips: 39.0166 images/s [10/15 04:54:17] ppdet.engine INFO: Epoch: [26] [ 80/229] learning_rate: 0.392434 loss_vfl: 0.940126 loss_bbox: 0.373138 loss_dfl: 0.213756 loss: 1.539966 eta: 2 days, 12:14:31 batch_cost: 3.4155 data_cost: 0.0024 ips: 37.4759 images/s [10/15 04:55:30] ppdet.engine INFO: Epoch: [26] [100/229] learning_rate: 0.392385 loss_vfl: 0.943760 loss_bbox: 0.369330 loss_dfl: 0.218344 loss: 1.533699 eta: 2 days, 12:13:23 batch_cost: 3.4690 data_cost: 0.0024 ips: 36.8978 images/s [10/15 04:56:40] ppdet.engine INFO: Epoch: [26] [120/229] learning_rate: 0.392334 loss_vfl: 0.933869 loss_bbox: 0.368693 loss_dfl: 0.215631 loss: 1.524677 eta: 2 days, 12:11:50 batch_cost: 3.3441 data_cost: 0.0024 ips: 38.2761 images/s [10/15 04:57:50] ppdet.engine INFO: Epoch: [26] [140/229] learning_rate: 0.392284 loss_vfl: 0.934522 loss_bbox: 0.371457 loss_dfl: 0.210807 loss: 1.524440 eta: 2 days, 12:10:22 batch_cost: 3.3675 data_cost: 0.0025 ips: 38.0110 images/s [10/15 04:59:00] ppdet.engine INFO: Epoch: [26] [160/229] learning_rate: 0.392234 loss_vfl: 0.934894 loss_bbox: 0.375592 loss_dfl: 0.217756 loss: 1.537795 eta: 2 days, 12:08:49 batch_cost: 3.3465 data_cost: 0.0027 ips: 38.2490 images/s [10/15 05:00:11] ppdet.engine INFO: Epoch: [26] [180/229] learning_rate: 0.392183 loss_vfl: 0.931793 loss_bbox: 0.366912 loss_dfl: 0.216162 loss: 1.531051 eta: 2 days, 12:07:25 batch_cost: 3.3886 data_cost: 0.0023 ips: 37.7740 images/s [10/15 05:01:20] ppdet.engine INFO: Epoch: [26] [200/229] learning_rate: 0.392133 loss_vfl: 0.928496 loss_bbox: 0.366416 loss_dfl: 0.210273 loss: 1.511893 eta: 2 days, 12:05:47 batch_cost: 3.3177 data_cost: 0.0024 ips: 38.5811 images/s [10/15 05:02:29] ppdet.engine INFO: Epoch: [26] [220/229] learning_rate: 0.392082 loss_vfl: 0.919362 loss_bbox: 0.382759 loss_dfl: 0.217660 loss: 1.517347 eta: 2 days, 12:04:09 batch_cost: 3.3147 data_cost: 0.0024 ips: 38.6161 images/s [10/15 05:03:23] ppdet.engine INFO: Epoch: [27] [ 0/229] learning_rate: 0.392059 loss_vfl: 0.929213 loss_bbox: 0.378018 loss_dfl: 0.214992 loss: 1.515275 eta: 2 days, 12:06:38 batch_cost: 4.1991 data_cost: 0.4786 ips: 30.4830 images/s [10/15 05:04:33] ppdet.engine INFO: Epoch: [27] [ 20/229] learning_rate: 0.392008 loss_vfl: 0.920330 loss_bbox: 0.359190 loss_dfl: 0.204909 loss: 1.467891 eta: 2 days, 12:05:14 batch_cost: 3.3899 data_cost: 0.0025 ips: 37.7596 images/s [10/15 05:05:46] ppdet.engine INFO: Epoch: [27] [ 40/229] learning_rate: 0.391956 loss_vfl: 0.929866 loss_bbox: 0.375931 loss_dfl: 0.222027 loss: 1.520248 eta: 2 days, 12:04:09 batch_cost: 3.4803 data_cost: 0.0031 ips: 36.7789 images/s [10/15 05:06:59] ppdet.engine INFO: Epoch: [27] [ 60/229] learning_rate: 0.391905 loss_vfl: 0.927552 loss_bbox: 0.370540 loss_dfl: 0.216951 loss: 1.529567 eta: 2 days, 12:03:05 batch_cost: 3.4895 data_cost: 0.0024 ips: 36.6815 images/s [10/15 05:08:12] ppdet.engine INFO: Epoch: [27] [ 80/229] learning_rate: 0.391853 loss_vfl: 0.937560 loss_bbox: 0.382933 loss_dfl: 0.221018 loss: 1.533055 eta: 2 days, 12:02:01 batch_cost: 3.4887 data_cost: 0.0025 ips: 36.6900 images/s [10/15 05:09:23] ppdet.engine INFO: Epoch: [27] [100/229] learning_rate: 0.391802 loss_vfl: 0.940165 loss_bbox: 0.363732 loss_dfl: 0.216800 loss: 1.514259 eta: 2 days, 12:00:46 batch_cost: 3.4297 data_cost: 0.0024 ips: 37.3213 images/s [10/15 05:10:34] ppdet.engine INFO: Epoch: [27] [120/229] learning_rate: 0.391750 loss_vfl: 0.931032 loss_bbox: 0.377062 loss_dfl: 0.213751 loss: 1.515697 eta: 2 days, 11:59:20 batch_cost: 3.3781 data_cost: 0.0023 ips: 37.8916 images/s [10/15 05:11:43] ppdet.engine INFO: Epoch: [27] [140/229] learning_rate: 0.391698 loss_vfl: 0.934579 loss_bbox: 0.367288 loss_dfl: 0.213321 loss: 1.509357 eta: 2 days, 11:57:43 batch_cost: 3.3183 data_cost: 0.0025 ips: 38.5744 images/s [10/15 05:12:54] ppdet.engine INFO: Epoch: [27] [160/229] learning_rate: 0.391645 loss_vfl: 0.934251 loss_bbox: 0.367994 loss_dfl: 0.212947 loss: 1.519752 eta: 2 days, 11:56:16 batch_cost: 3.3717 data_cost: 0.0024 ips: 37.9630 images/s [10/15 05:14:04] ppdet.engine INFO: Epoch: [27] [180/229] learning_rate: 0.391593 loss_vfl: 0.942207 loss_bbox: 0.372962 loss_dfl: 0.215135 loss: 1.540892 eta: 2 days, 11:54:46 batch_cost: 3.3511 data_cost: 0.0024 ips: 38.1966 images/s [10/15 05:15:14] ppdet.engine INFO: Epoch: [27] [200/229] learning_rate: 0.391540 loss_vfl: 0.940438 loss_bbox: 0.374532 loss_dfl: 0.215173 loss: 1.525884 eta: 2 days, 11:53:17 batch_cost: 3.3590 data_cost: 0.0025 ips: 38.1070 images/s [10/15 05:16:22] ppdet.engine INFO: Epoch: [27] [220/229] learning_rate: 0.391488 loss_vfl: 0.933028 loss_bbox: 0.363413 loss_dfl: 0.207936 loss: 1.507788 eta: 2 days, 11:51:24 batch_cost: 3.2381 data_cost: 0.0023 ips: 39.5299 images/s [10/15 05:17:17] ppdet.engine INFO: Epoch: [28] [ 0/229] learning_rate: 0.391464 loss_vfl: 0.940454 loss_bbox: 0.377794 loss_dfl: 0.216229 loss: 1.543528 eta: 2 days, 11:54:00 batch_cost: 4.2044 data_cost: 0.6019 ips: 30.4443 images/s [10/15 05:18:29] ppdet.engine INFO: Epoch: [28] [ 20/229] learning_rate: 0.391411 loss_vfl: 0.926668 loss_bbox: 0.363680 loss_dfl: 0.213376 loss: 1.508659 eta: 2 days, 11:52:48 batch_cost: 3.4502 data_cost: 0.0025 ips: 37.0988 images/s [10/15 05:19:40] ppdet.engine INFO: Epoch: [28] [ 40/229] learning_rate: 0.391358 loss_vfl: 0.927721 loss_bbox: 0.361460 loss_dfl: 0.215091 loss: 1.517803 eta: 2 days, 11:51:34 batch_cost: 3.4337 data_cost: 0.0024 ips: 37.2778 images/s [10/15 05:20:51] ppdet.engine INFO: Epoch: [28] [ 60/229] learning_rate: 0.391305 loss_vfl: 0.912096 loss_bbox: 0.376760 loss_dfl: 0.216780 loss: 1.514422 eta: 2 days, 11:50:08 batch_cost: 3.3751 data_cost: 0.0023 ips: 37.9252 images/s [10/15 05:22:02] ppdet.engine INFO: Epoch: [28] [ 80/229] learning_rate: 0.391251 loss_vfl: 0.939943 loss_bbox: 0.363149 loss_dfl: 0.211641 loss: 1.491033 eta: 2 days, 11:48:55 batch_cost: 3.4432 data_cost: 0.0023 ips: 37.1749 images/s [10/15 05:23:14] ppdet.engine INFO: Epoch: [28] [100/229] learning_rate: 0.391198 loss_vfl: 0.912216 loss_bbox: 0.380760 loss_dfl: 0.217816 loss: 1.514284 eta: 2 days, 11:47:36 batch_cost: 3.4129 data_cost: 0.0024 ips: 37.5053 images/s [10/15 05:24:26] ppdet.engine INFO: Epoch: [28] [120/229] learning_rate: 0.391144 loss_vfl: 0.944482 loss_bbox: 0.366112 loss_dfl: 0.212153 loss: 1.521733 eta: 2 days, 11:46:29 batch_cost: 3.4706 data_cost: 0.0025 ips: 36.8809 images/s [10/15 05:25:37] ppdet.engine INFO: Epoch: [28] [140/229] learning_rate: 0.391090 loss_vfl: 0.949117 loss_bbox: 0.391208 loss_dfl: 0.222137 loss: 1.552873 eta: 2 days, 11:45:12 batch_cost: 3.4214 data_cost: 0.0031 ips: 37.4117 images/s [10/15 05:26:47] ppdet.engine INFO: Epoch: [28] [160/229] learning_rate: 0.391036 loss_vfl: 0.931912 loss_bbox: 0.358725 loss_dfl: 0.212790 loss: 1.509166 eta: 2 days, 11:43:40 batch_cost: 3.3401 data_cost: 0.0023 ips: 38.3221 images/s [10/15 05:27:59] ppdet.engine INFO: Epoch: [28] [180/229] learning_rate: 0.390982 loss_vfl: 0.932116 loss_bbox: 0.359519 loss_dfl: 0.213385 loss: 1.516382 eta: 2 days, 11:42:31 batch_cost: 3.4644 data_cost: 0.0025 ips: 36.9473 images/s [10/15 05:29:09] ppdet.engine INFO: Epoch: [28] [200/229] learning_rate: 0.390927 loss_vfl: 0.928590 loss_bbox: 0.368110 loss_dfl: 0.216385 loss: 1.516983 eta: 2 days, 11:40:59 batch_cost: 3.3367 data_cost: 0.0030 ips: 38.3614 images/s [10/15 05:30:17] ppdet.engine INFO: Epoch: [28] [220/229] learning_rate: 0.390873 loss_vfl: 0.935853 loss_bbox: 0.369123 loss_dfl: 0.208403 loss: 1.505309 eta: 2 days, 11:39:11 batch_cost: 3.2537 data_cost: 0.0024 ips: 39.3395 images/s [10/15 05:31:09] ppdet.engine INFO: Epoch: [29] [ 0/229] learning_rate: 0.390848 loss_vfl: 0.922004 loss_bbox: 0.375708 loss_dfl: 0.214487 loss: 1.505309 eta: 2 days, 11:41:08 batch_cost: 4.0429 data_cost: 0.6240 ips: 31.6603 images/s [10/15 05:32:22] ppdet.engine INFO: Epoch: [29] [ 20/229] learning_rate: 0.390793 loss_vfl: 0.939177 loss_bbox: 0.374290 loss_dfl: 0.218165 loss: 1.534817 eta: 2 days, 11:40:01 batch_cost: 3.4744 data_cost: 0.0025 ips: 36.8405 images/s [10/15 05:33:31] ppdet.engine INFO: Epoch: [29] [ 40/229] learning_rate: 0.390738 loss_vfl: 0.912372 loss_bbox: 0.368140 loss_dfl: 0.212905 loss: 1.485730 eta: 2 days, 11:38:26 batch_cost: 3.3238 data_cost: 0.0025 ips: 38.5102 images/s [10/15 05:34:43] ppdet.engine INFO: Epoch: [29] [ 60/229] learning_rate: 0.390683 loss_vfl: 0.926860 loss_bbox: 0.377371 loss_dfl: 0.219313 loss: 1.522805 eta: 2 days, 11:37:10 batch_cost: 3.4280 data_cost: 0.0024 ips: 37.3392 images/s [10/15 05:35:54] ppdet.engine INFO: Epoch: [29] [ 80/229] learning_rate: 0.390628 loss_vfl: 0.922998 loss_bbox: 0.364745 loss_dfl: 0.218413 loss: 1.523648 eta: 2 days, 11:35:52 batch_cost: 3.4113 data_cost: 0.0024 ips: 37.5228 images/s [10/15 05:37:04] ppdet.engine INFO: Epoch: [29] [100/229] learning_rate: 0.390573 loss_vfl: 0.931182 loss_bbox: 0.366408 loss_dfl: 0.209387 loss: 1.497847 eta: 2 days, 11:34:20 batch_cost: 3.3410 data_cost: 0.0024 ips: 38.3119 images/s [10/15 05:38:13] ppdet.engine INFO: Epoch: [29] [120/229] learning_rate: 0.390517 loss_vfl: 0.928524 loss_bbox: 0.359655 loss_dfl: 0.218446 loss: 1.540053 eta: 2 days, 11:32:49 batch_cost: 3.3414 data_cost: 0.0024 ips: 38.3076 images/s [10/15 05:39:24] ppdet.engine INFO: Epoch: [29] [140/229] learning_rate: 0.390461 loss_vfl: 0.927318 loss_bbox: 0.366316 loss_dfl: 0.216959 loss: 1.517970 eta: 2 days, 11:31:25 batch_cost: 3.3816 data_cost: 0.0023 ips: 37.8519 images/s [10/15 05:40:35] ppdet.engine INFO: Epoch: [29] [160/229] learning_rate: 0.390405 loss_vfl: 0.912234 loss_bbox: 0.380525 loss_dfl: 0.221798 loss: 1.523488 eta: 2 days, 11:30:06 batch_cost: 3.4048 data_cost: 0.0025 ips: 37.5942 images/s [10/15 05:41:46] ppdet.engine INFO: Epoch: [29] [180/229] learning_rate: 0.390349 loss_vfl: 0.929992 loss_bbox: 0.368778 loss_dfl: 0.212502 loss: 1.510019 eta: 2 days, 11:28:47 batch_cost: 3.4064 data_cost: 0.0025 ips: 37.5760 images/s [10/15 05:42:57] ppdet.engine INFO: Epoch: [29] [200/229] learning_rate: 0.390293 loss_vfl: 0.919967 loss_bbox: 0.374608 loss_dfl: 0.213419 loss: 1.500098 eta: 2 days, 11:27:23 batch_cost: 3.3780 data_cost: 0.0032 ips: 37.8922 images/s [10/15 05:44:05] ppdet.engine INFO: Epoch: [29] [220/229] learning_rate: 0.390237 loss_vfl: 0.929437 loss_bbox: 0.367132 loss_dfl: 0.214801 loss: 1.507697 eta: 2 days, 11:25:38 batch_cost: 3.2622 data_cost: 0.0024 ips: 39.2370 images/s [10/15 05:44:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 05:44:36] ppdet.engine INFO: Eval iter: 0 [10/15 05:45:19] ppdet.engine INFO: Eval iter: 100 [10/15 05:45:42] ppdet.engine INFO: Eval iter: 200 [10/15 05:46:05] ppdet.engine INFO: Eval iter: 300 [10/15 05:46:28] ppdet.engine INFO: Eval iter: 400 [10/15 05:46:51] ppdet.engine INFO: Eval iter: 500 [10/15 05:47:15] ppdet.engine INFO: Eval iter: 600 [10/15 05:47:35] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/15 05:47:36] 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=95.46s). Accumulating evaluation results... DONE (t=17.04s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.219 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.350 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.223 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.063 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.210 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 ] = 0.220 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.350 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.374 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.110 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.403 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.626 [10/15 05:49:36] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.037401832689543 [10/15 05:49:36] ppdet.engine INFO: Best test bbox ap is 0.219. [10/15 05:49:36] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 05:49:39] ppdet.engine INFO: Epoch: [30] [ 0/229] learning_rate: 0.390211 loss_vfl: 0.919899 loss_bbox: 0.362479 loss_dfl: 0.210482 loss: 1.489627 eta: 2 days, 11:24:39 batch_cost: 3.1289 data_cost: 0.0023 ips: 40.9092 images/s [10/15 05:50:52] ppdet.engine INFO: Epoch: [30] [ 20/229] learning_rate: 0.390155 loss_vfl: 0.926919 loss_bbox: 0.368484 loss_dfl: 0.214163 loss: 1.512448 eta: 2 days, 11:23:35 batch_cost: 3.4913 data_cost: 0.0026 ips: 36.6628 images/s [10/15 05:52:02] ppdet.engine INFO: Epoch: [30] [ 40/229] learning_rate: 0.390098 loss_vfl: 0.919140 loss_bbox: 0.361821 loss_dfl: 0.208835 loss: 1.477636 eta: 2 days, 11:22:13 batch_cost: 3.3855 data_cost: 0.0026 ips: 37.8083 images/s [10/15 05:53:12] ppdet.engine INFO: Epoch: [30] [ 60/229] learning_rate: 0.390041 loss_vfl: 0.915088 loss_bbox: 0.364873 loss_dfl: 0.216389 loss: 1.502620 eta: 2 days, 11:20:44 batch_cost: 3.3461 data_cost: 0.0024 ips: 38.2536 images/s [10/15 05:54:23] ppdet.engine INFO: Epoch: [30] [ 80/229] learning_rate: 0.389984 loss_vfl: 0.934368 loss_bbox: 0.371457 loss_dfl: 0.213464 loss: 1.522088 eta: 2 days, 11:19:20 batch_cost: 3.3762 data_cost: 0.0023 ips: 37.9130 images/s [10/15 05:55:34] ppdet.engine INFO: Epoch: [30] [100/229] learning_rate: 0.389927 loss_vfl: 0.919362 loss_bbox: 0.362372 loss_dfl: 0.202047 loss: 1.495168 eta: 2 days, 11:18:09 batch_cost: 3.4477 data_cost: 0.0028 ips: 37.1257 images/s [10/15 05:56:46] ppdet.engine INFO: Epoch: [30] [120/229] learning_rate: 0.389869 loss_vfl: 0.936044 loss_bbox: 0.381975 loss_dfl: 0.224271 loss: 1.542347 eta: 2 days, 11:16:55 batch_cost: 3.4329 data_cost: 0.0025 ips: 37.2860 images/s [10/15 05:57:57] ppdet.engine INFO: Epoch: [30] [140/229] learning_rate: 0.389812 loss_vfl: 0.935107 loss_bbox: 0.362442 loss_dfl: 0.212504 loss: 1.497759 eta: 2 days, 11:15:33 batch_cost: 3.3815 data_cost: 0.0025 ips: 37.8536 images/s [10/15 05:59:09] ppdet.engine INFO: Epoch: [30] [160/229] learning_rate: 0.389754 loss_vfl: 0.938738 loss_bbox: 0.377018 loss_dfl: 0.219047 loss: 1.536900 eta: 2 days, 11:14:24 batch_cost: 3.4603 data_cost: 0.0025 ips: 36.9909 images/s [10/15 06:00:20] ppdet.engine INFO: Epoch: [30] [180/229] learning_rate: 0.389696 loss_vfl: 0.933372 loss_bbox: 0.378316 loss_dfl: 0.216315 loss: 1.534240 eta: 2 days, 11:13:04 batch_cost: 3.3996 data_cost: 0.0026 ips: 37.6512 images/s [10/15 06:01:31] ppdet.engine INFO: Epoch: [30] [200/229] learning_rate: 0.389638 loss_vfl: 0.919877 loss_bbox: 0.382350 loss_dfl: 0.224007 loss: 1.543514 eta: 2 days, 11:11:46 batch_cost: 3.4055 data_cost: 0.0025 ips: 37.5857 images/s [10/15 06:02:38] ppdet.engine INFO: Epoch: [30] [220/229] learning_rate: 0.389580 loss_vfl: 0.939271 loss_bbox: 0.359545 loss_dfl: 0.208748 loss: 1.507548 eta: 2 days, 11:09:49 batch_cost: 3.1817 data_cost: 0.0024 ips: 40.2304 images/s [10/15 06:03:33] ppdet.engine INFO: Epoch: [31] [ 0/229] learning_rate: 0.389554 loss_vfl: 0.937253 loss_bbox: 0.367819 loss_dfl: 0.212222 loss: 1.519970 eta: 2 days, 11:12:04 batch_cost: 4.1755 data_cost: 0.7988 ips: 30.6552 images/s [10/15 06:04:43] ppdet.engine INFO: Epoch: [31] [ 20/229] learning_rate: 0.389495 loss_vfl: 0.936714 loss_bbox: 0.374281 loss_dfl: 0.217186 loss: 1.527676 eta: 2 days, 11:10:44 batch_cost: 3.3962 data_cost: 0.0025 ips: 37.6890 images/s [10/15 06:05:56] ppdet.engine INFO: Epoch: [31] [ 40/229] learning_rate: 0.389437 loss_vfl: 0.931006 loss_bbox: 0.375998 loss_dfl: 0.216366 loss: 1.517070 eta: 2 days, 11:09:37 batch_cost: 3.4700 data_cost: 0.0025 ips: 36.8878 images/s [10/15 06:07:07] ppdet.engine INFO: Epoch: [31] [ 60/229] learning_rate: 0.389378 loss_vfl: 0.916187 loss_bbox: 0.352416 loss_dfl: 0.204288 loss: 1.485303 eta: 2 days, 11:08:17 batch_cost: 3.4000 data_cost: 0.0026 ips: 37.6474 images/s [10/15 06:08:16] ppdet.engine INFO: Epoch: [31] [ 80/229] learning_rate: 0.389319 loss_vfl: 0.924272 loss_bbox: 0.377809 loss_dfl: 0.216530 loss: 1.518996 eta: 2 days, 11:06:41 batch_cost: 3.3001 data_cost: 0.0024 ips: 38.7872 images/s [10/15 06:09:27] ppdet.engine INFO: Epoch: [31] [100/229] learning_rate: 0.389260 loss_vfl: 0.933050 loss_bbox: 0.354647 loss_dfl: 0.212122 loss: 1.497267 eta: 2 days, 11:05:22 batch_cost: 3.4003 data_cost: 0.0024 ips: 37.6440 images/s [10/15 06:10:38] ppdet.engine INFO: Epoch: [31] [120/229] learning_rate: 0.389201 loss_vfl: 0.928408 loss_bbox: 0.357621 loss_dfl: 0.215761 loss: 1.517256 eta: 2 days, 11:04:02 batch_cost: 3.3969 data_cost: 0.0025 ips: 37.6813 images/s [10/15 06:11:48] ppdet.engine INFO: Epoch: [31] [140/229] learning_rate: 0.389141 loss_vfl: 0.928014 loss_bbox: 0.370892 loss_dfl: 0.216048 loss: 1.526244 eta: 2 days, 11:02:38 batch_cost: 3.3707 data_cost: 0.0023 ips: 37.9738 images/s [10/15 06:12:59] ppdet.engine INFO: Epoch: [31] [160/229] learning_rate: 0.389082 loss_vfl: 0.944073 loss_bbox: 0.342252 loss_dfl: 0.203736 loss: 1.488200 eta: 2 days, 11:01:22 batch_cost: 3.4206 data_cost: 0.0025 ips: 37.4205 images/s [10/15 06:14:11] ppdet.engine INFO: Epoch: [31] [180/229] learning_rate: 0.389022 loss_vfl: 0.946639 loss_bbox: 0.367407 loss_dfl: 0.213227 loss: 1.526977 eta: 2 days, 11:00:08 batch_cost: 3.4278 data_cost: 0.0033 ips: 37.3415 images/s [10/15 06:15:22] ppdet.engine INFO: Epoch: [31] [200/229] learning_rate: 0.388962 loss_vfl: 0.921920 loss_bbox: 0.362867 loss_dfl: 0.214879 loss: 1.491376 eta: 2 days, 10:58:52 batch_cost: 3.4206 data_cost: 0.0024 ips: 37.4200 images/s [10/15 06:16:31] ppdet.engine INFO: Epoch: [31] [220/229] learning_rate: 0.388902 loss_vfl: 0.942506 loss_bbox: 0.384344 loss_dfl: 0.226895 loss: 1.545844 eta: 2 days, 10:57:16 batch_cost: 3.2948 data_cost: 0.0024 ips: 38.8490 images/s [10/15 06:17:25] ppdet.engine INFO: Epoch: [32] [ 0/229] learning_rate: 0.388875 loss_vfl: 0.936834 loss_bbox: 0.383218 loss_dfl: 0.224681 loss: 1.545628 eta: 2 days, 10:59:11 batch_cost: 4.1473 data_cost: 0.4507 ips: 30.8634 images/s [10/15 06:18:37] ppdet.engine INFO: Epoch: [32] [ 20/229] learning_rate: 0.388815 loss_vfl: 0.916655 loss_bbox: 0.357397 loss_dfl: 0.208238 loss: 1.475465 eta: 2 days, 10:58:01 batch_cost: 3.4573 data_cost: 0.0025 ips: 37.0231 images/s [10/15 06:19:48] ppdet.engine INFO: Epoch: [32] [ 40/229] learning_rate: 0.388755 loss_vfl: 0.926867 loss_bbox: 0.361974 loss_dfl: 0.214671 loss: 1.494376 eta: 2 days, 10:56:40 batch_cost: 3.3871 data_cost: 0.0024 ips: 37.7905 images/s [10/15 06:20:58] ppdet.engine INFO: Epoch: [32] [ 60/229] learning_rate: 0.388694 loss_vfl: 0.906484 loss_bbox: 0.376281 loss_dfl: 0.214548 loss: 1.495504 eta: 2 days, 10:55:19 batch_cost: 3.3883 data_cost: 0.0025 ips: 37.7767 images/s [10/15 06:22:10] ppdet.engine INFO: Epoch: [32] [ 80/229] learning_rate: 0.388633 loss_vfl: 0.923176 loss_bbox: 0.362823 loss_dfl: 0.209258 loss: 1.483113 eta: 2 days, 10:54:06 batch_cost: 3.4381 data_cost: 0.0024 ips: 37.2303 images/s [10/15 06:23:20] ppdet.engine INFO: Epoch: [32] [100/229] learning_rate: 0.388573 loss_vfl: 0.927616 loss_bbox: 0.367705 loss_dfl: 0.215048 loss: 1.500596 eta: 2 days, 10:52:37 batch_cost: 3.3418 data_cost: 0.0024 ips: 38.3029 images/s [10/15 06:24:32] ppdet.engine INFO: Epoch: [32] [120/229] learning_rate: 0.388512 loss_vfl: 0.928339 loss_bbox: 0.378271 loss_dfl: 0.224714 loss: 1.539036 eta: 2 days, 10:51:24 batch_cost: 3.4369 data_cost: 0.0024 ips: 37.2430 images/s [10/15 06:25:44] ppdet.engine INFO: Epoch: [32] [140/229] learning_rate: 0.388450 loss_vfl: 0.929852 loss_bbox: 0.367093 loss_dfl: 0.212357 loss: 1.517145 eta: 2 days, 10:50:15 batch_cost: 3.4586 data_cost: 0.0025 ips: 37.0089 images/s [10/15 06:26:56] ppdet.engine INFO: Epoch: [32] [160/229] learning_rate: 0.388389 loss_vfl: 0.932817 loss_bbox: 0.362265 loss_dfl: 0.207878 loss: 1.510243 eta: 2 days, 10:49:09 batch_cost: 3.4777 data_cost: 0.0024 ips: 36.8063 images/s [10/15 06:28:05] ppdet.engine INFO: Epoch: [32] [180/229] learning_rate: 0.388327 loss_vfl: 0.931811 loss_bbox: 0.364359 loss_dfl: 0.216671 loss: 1.523139 eta: 2 days, 10:47:35 batch_cost: 3.3045 data_cost: 0.0023 ips: 38.7354 images/s [10/15 06:29:16] ppdet.engine INFO: Epoch: [32] [200/229] learning_rate: 0.388266 loss_vfl: 0.921882 loss_bbox: 0.369583 loss_dfl: 0.217657 loss: 1.511656 eta: 2 days, 10:46:11 batch_cost: 3.3697 data_cost: 0.0023 ips: 37.9855 images/s [10/15 06:30:25] ppdet.engine INFO: Epoch: [32] [220/229] learning_rate: 0.388204 loss_vfl: 0.922639 loss_bbox: 0.369130 loss_dfl: 0.215728 loss: 1.505404 eta: 2 days, 10:44:39 batch_cost: 3.3171 data_cost: 0.0024 ips: 38.5883 images/s [10/15 06:31:15] ppdet.engine INFO: Epoch: [33] [ 0/229] learning_rate: 0.388176 loss_vfl: 0.925657 loss_bbox: 0.368477 loss_dfl: 0.209627 loss: 1.501190 eta: 2 days, 10:46:01 batch_cost: 3.9782 data_cost: 0.6214 ips: 32.1753 images/s [10/15 06:32:29] ppdet.engine INFO: Epoch: [33] [ 20/229] learning_rate: 0.388114 loss_vfl: 0.934834 loss_bbox: 0.353135 loss_dfl: 0.211711 loss: 1.491663 eta: 2 days, 10:44:43 batch_cost: 3.4104 data_cost: 0.0025 ips: 37.5328 images/s [10/15 06:33:40] ppdet.engine INFO: Epoch: [33] [ 40/229] learning_rate: 0.388052 loss_vfl: 0.912877 loss_bbox: 0.372882 loss_dfl: 0.209623 loss: 1.479159 eta: 2 days, 10:43:29 batch_cost: 3.4270 data_cost: 0.0024 ips: 37.3501 images/s [10/15 06:34:51] ppdet.engine INFO: Epoch: [33] [ 60/229] learning_rate: 0.387990 loss_vfl: 0.923454 loss_bbox: 0.372804 loss_dfl: 0.219659 loss: 1.500404 eta: 2 days, 10:42:13 batch_cost: 3.4150 data_cost: 0.0024 ips: 37.4815 images/s [10/15 06:36:04] ppdet.engine INFO: Epoch: [33] [ 80/229] learning_rate: 0.387927 loss_vfl: 0.929479 loss_bbox: 0.359420 loss_dfl: 0.217931 loss: 1.518561 eta: 2 days, 10:41:04 batch_cost: 3.4656 data_cost: 0.0024 ips: 36.9347 images/s [10/15 06:37:13] ppdet.engine INFO: Epoch: [33] [100/229] learning_rate: 0.387864 loss_vfl: 0.920119 loss_bbox: 0.376585 loss_dfl: 0.216578 loss: 1.514834 eta: 2 days, 10:39:32 batch_cost: 3.3151 data_cost: 0.0024 ips: 38.6117 images/s [10/15 06:38:23] ppdet.engine INFO: Epoch: [33] [120/229] learning_rate: 0.387802 loss_vfl: 0.925308 loss_bbox: 0.364439 loss_dfl: 0.209557 loss: 1.501558 eta: 2 days, 10:38:09 batch_cost: 3.3744 data_cost: 0.0025 ips: 37.9328 images/s [10/15 06:39:34] ppdet.engine INFO: Epoch: [33] [140/229] learning_rate: 0.387739 loss_vfl: 0.937410 loss_bbox: 0.370957 loss_dfl: 0.219610 loss: 1.527486 eta: 2 days, 10:36:44 batch_cost: 3.3602 data_cost: 0.0024 ips: 38.0931 images/s [10/15 06:40:45] ppdet.engine INFO: Epoch: [33] [160/229] learning_rate: 0.387675 loss_vfl: 0.940112 loss_bbox: 0.355967 loss_dfl: 0.208847 loss: 1.496845 eta: 2 days, 10:35:25 batch_cost: 3.3924 data_cost: 0.0025 ips: 37.7310 images/s [10/15 06:41:55] ppdet.engine INFO: Epoch: [33] [180/229] learning_rate: 0.387612 loss_vfl: 0.930730 loss_bbox: 0.345215 loss_dfl: 0.208850 loss: 1.494267 eta: 2 days, 10:34:00 batch_cost: 3.3584 data_cost: 0.0023 ips: 38.1135 images/s [10/15 06:43:04] ppdet.engine INFO: Epoch: [33] [200/229] learning_rate: 0.387549 loss_vfl: 0.928786 loss_bbox: 0.379115 loss_dfl: 0.217734 loss: 1.534646 eta: 2 days, 10:32:32 batch_cost: 3.3420 data_cost: 0.0023 ips: 38.3004 images/s [10/15 06:44:14] ppdet.engine INFO: Epoch: [33] [220/229] learning_rate: 0.387485 loss_vfl: 0.949843 loss_bbox: 0.369336 loss_dfl: 0.214900 loss: 1.506482 eta: 2 days, 10:31:00 batch_cost: 3.3115 data_cost: 0.0025 ips: 38.6536 images/s [10/15 06:45:08] ppdet.engine INFO: Epoch: [34] [ 0/229] learning_rate: 0.387456 loss_vfl: 0.945247 loss_bbox: 0.363274 loss_dfl: 0.212355 loss: 1.514508 eta: 2 days, 10:32:54 batch_cost: 4.2459 data_cost: 0.6338 ips: 30.1470 images/s [10/15 06:46:19] ppdet.engine INFO: Epoch: [34] [ 20/229] learning_rate: 0.387393 loss_vfl: 0.915556 loss_bbox: 0.357785 loss_dfl: 0.214273 loss: 1.507252 eta: 2 days, 10:31:33 batch_cost: 3.3888 data_cost: 0.0039 ips: 37.7714 images/s [10/15 06:47:30] ppdet.engine INFO: Epoch: [34] [ 40/229] learning_rate: 0.387329 loss_vfl: 0.928383 loss_bbox: 0.372448 loss_dfl: 0.214503 loss: 1.511316 eta: 2 days, 10:30:17 batch_cost: 3.4144 data_cost: 0.0025 ips: 37.4888 images/s [10/15 06:48:43] ppdet.engine INFO: Epoch: [34] [ 60/229] learning_rate: 0.387264 loss_vfl: 0.933744 loss_bbox: 0.356147 loss_dfl: 0.204959 loss: 1.489359 eta: 2 days, 10:29:19 batch_cost: 3.5328 data_cost: 0.0029 ips: 36.2323 images/s [10/15 06:49:55] ppdet.engine INFO: Epoch: [34] [ 80/229] learning_rate: 0.387200 loss_vfl: 0.927493 loss_bbox: 0.357063 loss_dfl: 0.215138 loss: 1.511998 eta: 2 days, 10:28:05 batch_cost: 3.4275 data_cost: 0.0024 ips: 37.3455 images/s [10/15 06:51:03] ppdet.engine INFO: Epoch: [34] [100/229] learning_rate: 0.387136 loss_vfl: 0.926166 loss_bbox: 0.367194 loss_dfl: 0.214348 loss: 1.509553 eta: 2 days, 10:26:26 batch_cost: 3.2666 data_cost: 0.0023 ips: 39.1850 images/s [10/15 06:52:14] ppdet.engine INFO: Epoch: [34] [120/229] learning_rate: 0.387071 loss_vfl: 0.919226 loss_bbox: 0.373089 loss_dfl: 0.214732 loss: 1.522372 eta: 2 days, 10:25:04 batch_cost: 3.3747 data_cost: 0.0025 ips: 37.9295 images/s [10/15 06:53:24] ppdet.engine INFO: Epoch: [34] [140/229] learning_rate: 0.387006 loss_vfl: 0.938695 loss_bbox: 0.371375 loss_dfl: 0.214970 loss: 1.533209 eta: 2 days, 10:23:42 batch_cost: 3.3753 data_cost: 0.0024 ips: 37.9220 images/s [10/15 06:54:36] ppdet.engine INFO: Epoch: [34] [160/229] learning_rate: 0.386941 loss_vfl: 0.927542 loss_bbox: 0.371914 loss_dfl: 0.213753 loss: 1.497916 eta: 2 days, 10:22:32 batch_cost: 3.4545 data_cost: 0.0025 ips: 37.0526 images/s [10/15 06:55:48] ppdet.engine INFO: Epoch: [34] [180/229] learning_rate: 0.386876 loss_vfl: 0.940074 loss_bbox: 0.370343 loss_dfl: 0.213019 loss: 1.516453 eta: 2 days, 10:21:21 batch_cost: 3.4501 data_cost: 0.0025 ips: 37.0999 images/s [10/15 06:56:58] ppdet.engine INFO: Epoch: [34] [200/229] learning_rate: 0.386811 loss_vfl: 0.933654 loss_bbox: 0.355800 loss_dfl: 0.208073 loss: 1.504045 eta: 2 days, 10:19:57 batch_cost: 3.3614 data_cost: 0.0024 ips: 38.0794 images/s [10/15 06:58:09] ppdet.engine INFO: Epoch: [34] [220/229] learning_rate: 0.386746 loss_vfl: 0.936308 loss_bbox: 0.360284 loss_dfl: 0.212920 loss: 1.486781 eta: 2 days, 10:18:32 batch_cost: 3.3544 data_cost: 0.0024 ips: 38.1592 images/s [10/15 06:59:03] ppdet.engine INFO: Epoch: [35] [ 0/229] learning_rate: 0.386716 loss_vfl: 0.926737 loss_bbox: 0.363753 loss_dfl: 0.215598 loss: 1.507219 eta: 2 days, 10:20:18 batch_cost: 4.2288 data_cost: 0.6765 ips: 30.2684 images/s [10/15 07:00:16] ppdet.engine INFO: Epoch: [35] [ 20/229] learning_rate: 0.386650 loss_vfl: 0.921596 loss_bbox: 0.358362 loss_dfl: 0.212381 loss: 1.503968 eta: 2 days, 10:19:19 batch_cost: 3.5270 data_cost: 0.0029 ips: 36.2910 images/s [10/15 07:01:28] ppdet.engine INFO: Epoch: [35] [ 40/229] learning_rate: 0.386585 loss_vfl: 0.919539 loss_bbox: 0.357566 loss_dfl: 0.215484 loss: 1.487507 eta: 2 days, 10:18:04 batch_cost: 3.4272 data_cost: 0.0024 ips: 37.3486 images/s [10/15 07:02:39] ppdet.engine INFO: Epoch: [35] [ 60/229] learning_rate: 0.386519 loss_vfl: 0.922704 loss_bbox: 0.362476 loss_dfl: 0.214339 loss: 1.507689 eta: 2 days, 10:16:48 batch_cost: 3.4116 data_cost: 0.0024 ips: 37.5192 images/s [10/15 07:03:49] ppdet.engine INFO: Epoch: [35] [ 80/229] learning_rate: 0.386453 loss_vfl: 0.919207 loss_bbox: 0.350201 loss_dfl: 0.207613 loss: 1.501565 eta: 2 days, 10:15:27 batch_cost: 3.3820 data_cost: 0.0024 ips: 37.8475 images/s [10/15 07:05:03] ppdet.engine INFO: Epoch: [35] [100/229] learning_rate: 0.386386 loss_vfl: 0.928642 loss_bbox: 0.370226 loss_dfl: 0.212462 loss: 1.502066 eta: 2 days, 10:14:29 batch_cost: 3.5381 data_cost: 0.0026 ips: 36.1772 images/s [10/15 07:06:15] ppdet.engine INFO: Epoch: [35] [120/229] learning_rate: 0.386320 loss_vfl: 0.939955 loss_bbox: 0.350252 loss_dfl: 0.211552 loss: 1.507901 eta: 2 days, 10:13:19 batch_cost: 3.4514 data_cost: 0.0024 ips: 37.0866 images/s [10/15 07:07:26] ppdet.engine INFO: Epoch: [35] [140/229] learning_rate: 0.386253 loss_vfl: 0.929501 loss_bbox: 0.368140 loss_dfl: 0.211584 loss: 1.509301 eta: 2 days, 10:11:57 batch_cost: 3.3777 data_cost: 0.0023 ips: 37.8952 images/s [10/15 07:08:35] ppdet.engine INFO: Epoch: [35] [160/229] learning_rate: 0.386187 loss_vfl: 0.935662 loss_bbox: 0.365344 loss_dfl: 0.217230 loss: 1.522080 eta: 2 days, 10:10:29 batch_cost: 3.3351 data_cost: 0.0024 ips: 38.3802 images/s [10/15 07:09:47] ppdet.engine INFO: Epoch: [35] [180/229] learning_rate: 0.386120 loss_vfl: 0.927866 loss_bbox: 0.358455 loss_dfl: 0.214443 loss: 1.498800 eta: 2 days, 10:09:14 batch_cost: 3.4177 data_cost: 0.0024 ips: 37.4522 images/s [10/15 07:10:56] ppdet.engine INFO: Epoch: [35] [200/229] learning_rate: 0.386053 loss_vfl: 0.925317 loss_bbox: 0.352381 loss_dfl: 0.208966 loss: 1.495827 eta: 2 days, 10:07:41 batch_cost: 3.3028 data_cost: 0.0024 ips: 38.7544 images/s [10/15 07:12:03] ppdet.engine INFO: Epoch: [35] [220/229] learning_rate: 0.385986 loss_vfl: 0.917942 loss_bbox: 0.360758 loss_dfl: 0.212952 loss: 1.485280 eta: 2 days, 10:05:58 batch_cost: 3.2270 data_cost: 0.0023 ips: 39.6659 images/s [10/15 07:12:56] ppdet.engine INFO: Epoch: [36] [ 0/229] learning_rate: 0.385955 loss_vfl: 0.923976 loss_bbox: 0.374049 loss_dfl: 0.218368 loss: 1.503266 eta: 2 days, 10:07:31 batch_cost: 4.0866 data_cost: 0.6397 ips: 31.3222 images/s [10/15 07:14:09] ppdet.engine INFO: Epoch: [36] [ 20/229] learning_rate: 0.385888 loss_vfl: 0.912523 loss_bbox: 0.363945 loss_dfl: 0.209918 loss: 1.473570 eta: 2 days, 10:06:24 batch_cost: 3.4753 data_cost: 0.0043 ips: 36.8315 images/s [10/15 07:15:21] ppdet.engine INFO: Epoch: [36] [ 40/229] learning_rate: 0.385820 loss_vfl: 0.923365 loss_bbox: 0.355547 loss_dfl: 0.210224 loss: 1.503355 eta: 2 days, 10:05:16 batch_cost: 3.4696 data_cost: 0.0026 ips: 36.8915 images/s [10/15 07:16:33] ppdet.engine INFO: Epoch: [36] [ 60/229] learning_rate: 0.385753 loss_vfl: 0.907903 loss_bbox: 0.351856 loss_dfl: 0.199836 loss: 1.466805 eta: 2 days, 10:04:06 batch_cost: 3.4584 data_cost: 0.0024 ips: 37.0115 images/s [10/15 07:17:44] ppdet.engine INFO: Epoch: [36] [ 80/229] learning_rate: 0.385685 loss_vfl: 0.924643 loss_bbox: 0.358893 loss_dfl: 0.208493 loss: 1.499757 eta: 2 days, 10:02:49 batch_cost: 3.4074 data_cost: 0.0023 ips: 37.5658 images/s [10/15 07:18:56] ppdet.engine INFO: Epoch: [36] [100/229] learning_rate: 0.385617 loss_vfl: 0.922909 loss_bbox: 0.363070 loss_dfl: 0.213217 loss: 1.505245 eta: 2 days, 10:01:34 batch_cost: 3.4191 data_cost: 0.0030 ips: 37.4368 images/s [10/15 07:20:07] ppdet.engine INFO: Epoch: [36] [120/229] learning_rate: 0.385548 loss_vfl: 0.920930 loss_bbox: 0.355666 loss_dfl: 0.210906 loss: 1.474256 eta: 2 days, 10:00:15 batch_cost: 3.3928 data_cost: 0.0024 ips: 37.7266 images/s [10/15 07:21:16] ppdet.engine INFO: Epoch: [36] [140/229] learning_rate: 0.385480 loss_vfl: 0.931060 loss_bbox: 0.354427 loss_dfl: 0.212547 loss: 1.493155 eta: 2 days, 9:58:45 batch_cost: 3.3173 data_cost: 0.0023 ips: 38.5854 images/s [10/15 07:22:27] ppdet.engine INFO: Epoch: [36] [160/229] learning_rate: 0.385412 loss_vfl: 0.925519 loss_bbox: 0.357664 loss_dfl: 0.209085 loss: 1.491432 eta: 2 days, 9:57:28 batch_cost: 3.4063 data_cost: 0.0025 ips: 37.5774 images/s [10/15 07:23:38] ppdet.engine INFO: Epoch: [36] [180/229] learning_rate: 0.385343 loss_vfl: 0.917571 loss_bbox: 0.366456 loss_dfl: 0.209513 loss: 1.480162 eta: 2 days, 9:56:11 batch_cost: 3.4041 data_cost: 0.0025 ips: 37.6013 images/s [10/15 07:24:50] ppdet.engine INFO: Epoch: [36] [200/229] learning_rate: 0.385274 loss_vfl: 0.921688 loss_bbox: 0.356183 loss_dfl: 0.209533 loss: 1.482597 eta: 2 days, 9:55:01 batch_cost: 3.4580 data_cost: 0.0025 ips: 37.0155 images/s [10/15 07:25:59] ppdet.engine INFO: Epoch: [36] [220/229] learning_rate: 0.385205 loss_vfl: 0.925899 loss_bbox: 0.364748 loss_dfl: 0.214141 loss: 1.522074 eta: 2 days, 9:53:23 batch_cost: 3.2560 data_cost: 0.0023 ips: 39.3124 images/s [10/15 07:26:51] ppdet.engine INFO: Epoch: [37] [ 0/229] learning_rate: 0.385174 loss_vfl: 0.922577 loss_bbox: 0.379438 loss_dfl: 0.222041 loss: 1.529226 eta: 2 days, 9:54:52 batch_cost: 4.0571 data_cost: 0.3077 ips: 31.5497 images/s [10/15 07:28:03] ppdet.engine INFO: Epoch: [37] [ 20/229] learning_rate: 0.385105 loss_vfl: 0.937056 loss_bbox: 0.361053 loss_dfl: 0.208793 loss: 1.484720 eta: 2 days, 9:53:40 batch_cost: 3.4440 data_cost: 0.0025 ips: 37.1660 images/s [10/15 07:29:16] ppdet.engine INFO: Epoch: [37] [ 40/229] learning_rate: 0.385036 loss_vfl: 0.927389 loss_bbox: 0.347633 loss_dfl: 0.205615 loss: 1.494266 eta: 2 days, 9:52:37 batch_cost: 3.5048 data_cost: 0.0024 ips: 36.5217 images/s [10/15 07:30:29] ppdet.engine INFO: Epoch: [37] [ 60/229] learning_rate: 0.384966 loss_vfl: 0.911933 loss_bbox: 0.371865 loss_dfl: 0.216716 loss: 1.509053 eta: 2 days, 9:51:31 batch_cost: 3.4867 data_cost: 0.0023 ips: 36.7108 images/s [10/15 07:31:39] ppdet.engine INFO: Epoch: [37] [ 80/229] learning_rate: 0.384896 loss_vfl: 0.924516 loss_bbox: 0.358392 loss_dfl: 0.211269 loss: 1.503828 eta: 2 days, 9:50:10 batch_cost: 3.3751 data_cost: 0.0025 ips: 37.9248 images/s [10/15 07:32:50] ppdet.engine INFO: Epoch: [37] [100/229] learning_rate: 0.384827 loss_vfl: 0.923636 loss_bbox: 0.350086 loss_dfl: 0.208636 loss: 1.497754 eta: 2 days, 9:48:50 batch_cost: 3.3848 data_cost: 0.0024 ips: 37.8165 images/s [10/15 07:34:00] ppdet.engine INFO: Epoch: [37] [120/229] learning_rate: 0.384757 loss_vfl: 0.919631 loss_bbox: 0.364341 loss_dfl: 0.207048 loss: 1.481634 eta: 2 days, 9:47:25 batch_cost: 3.3507 data_cost: 0.0026 ips: 38.2012 images/s [10/15 07:35:14] ppdet.engine INFO: Epoch: [37] [140/229] learning_rate: 0.384687 loss_vfl: 0.931949 loss_bbox: 0.370795 loss_dfl: 0.215082 loss: 1.504983 eta: 2 days, 9:46:23 batch_cost: 3.5162 data_cost: 0.0026 ips: 36.4027 images/s [10/15 07:36:23] ppdet.engine INFO: Epoch: [37] [160/229] learning_rate: 0.384616 loss_vfl: 0.935577 loss_bbox: 0.374837 loss_dfl: 0.220518 loss: 1.519375 eta: 2 days, 9:44:58 batch_cost: 3.3464 data_cost: 0.0024 ips: 38.2498 images/s [10/15 07:37:34] ppdet.engine INFO: Epoch: [37] [180/229] learning_rate: 0.384546 loss_vfl: 0.919349 loss_bbox: 0.353380 loss_dfl: 0.206070 loss: 1.482525 eta: 2 days, 9:43:41 batch_cost: 3.4042 data_cost: 0.0023 ips: 37.6004 images/s [10/15 07:38:47] ppdet.engine INFO: Epoch: [37] [200/229] learning_rate: 0.384475 loss_vfl: 0.921374 loss_bbox: 0.355201 loss_dfl: 0.208631 loss: 1.493363 eta: 2 days, 9:42:34 batch_cost: 3.4765 data_cost: 0.0025 ips: 36.8190 images/s [10/15 07:39:54] ppdet.engine INFO: Epoch: [37] [220/229] learning_rate: 0.384405 loss_vfl: 0.924050 loss_bbox: 0.349502 loss_dfl: 0.206712 loss: 1.486723 eta: 2 days, 9:40:48 batch_cost: 3.1929 data_cost: 0.0024 ips: 40.0892 images/s [10/15 07:40:47] ppdet.engine INFO: Epoch: [38] [ 0/229] learning_rate: 0.384373 loss_vfl: 0.920642 loss_bbox: 0.350891 loss_dfl: 0.205898 loss: 1.482476 eta: 2 days, 9:42:19 batch_cost: 4.0947 data_cost: 0.4513 ips: 31.2603 images/s [10/15 07:42:01] ppdet.engine INFO: Epoch: [38] [ 20/229] learning_rate: 0.384302 loss_vfl: 0.921617 loss_bbox: 0.368836 loss_dfl: 0.215774 loss: 1.500493 eta: 2 days, 9:41:18 batch_cost: 3.5251 data_cost: 0.0032 ips: 36.3114 images/s [10/15 07:43:13] ppdet.engine INFO: Epoch: [38] [ 40/229] learning_rate: 0.384231 loss_vfl: 0.912563 loss_bbox: 0.359351 loss_dfl: 0.207882 loss: 1.481224 eta: 2 days, 9:40:09 batch_cost: 3.4620 data_cost: 0.0025 ips: 36.9726 images/s [10/15 07:44:25] ppdet.engine INFO: Epoch: [38] [ 60/229] learning_rate: 0.384159 loss_vfl: 0.922266 loss_bbox: 0.365683 loss_dfl: 0.215974 loss: 1.516858 eta: 2 days, 9:39:01 batch_cost: 3.4775 data_cost: 0.0024 ips: 36.8085 images/s [10/15 07:45:38] ppdet.engine INFO: Epoch: [38] [ 80/229] learning_rate: 0.384088 loss_vfl: 0.914671 loss_bbox: 0.366695 loss_dfl: 0.211506 loss: 1.503923 eta: 2 days, 9:37:54 batch_cost: 3.4784 data_cost: 0.0034 ips: 36.7986 images/s [10/15 07:46:52] ppdet.engine INFO: Epoch: [38] [100/229] learning_rate: 0.384016 loss_vfl: 0.923682 loss_bbox: 0.371126 loss_dfl: 0.217784 loss: 1.528454 eta: 2 days, 9:36:55 batch_cost: 3.5394 data_cost: 0.0024 ips: 36.1645 images/s [10/15 07:48:03] ppdet.engine INFO: Epoch: [38] [120/229] learning_rate: 0.383945 loss_vfl: 0.918780 loss_bbox: 0.370592 loss_dfl: 0.208209 loss: 1.488182 eta: 2 days, 9:35:41 batch_cost: 3.4266 data_cost: 0.0033 ips: 37.3551 images/s [10/15 07:49:15] ppdet.engine INFO: Epoch: [38] [140/229] learning_rate: 0.383873 loss_vfl: 0.926522 loss_bbox: 0.360977 loss_dfl: 0.216334 loss: 1.504627 eta: 2 days, 9:34:29 batch_cost: 3.4420 data_cost: 0.0026 ips: 37.1879 images/s [10/15 07:50:27] ppdet.engine INFO: Epoch: [38] [160/229] learning_rate: 0.383801 loss_vfl: 0.929593 loss_bbox: 0.357204 loss_dfl: 0.208929 loss: 1.491750 eta: 2 days, 9:33:20 batch_cost: 3.4604 data_cost: 0.0026 ips: 36.9901 images/s [10/15 07:51:39] ppdet.engine INFO: Epoch: [38] [180/229] learning_rate: 0.383728 loss_vfl: 0.922737 loss_bbox: 0.364139 loss_dfl: 0.211580 loss: 1.509413 eta: 2 days, 9:32:06 batch_cost: 3.4324 data_cost: 0.0025 ips: 37.2917 images/s [10/15 07:52:50] ppdet.engine INFO: Epoch: [38] [200/229] learning_rate: 0.383656 loss_vfl: 0.938270 loss_bbox: 0.378021 loss_dfl: 0.216958 loss: 1.521440 eta: 2 days, 9:30:50 batch_cost: 3.4072 data_cost: 0.0024 ips: 37.5680 images/s [10/15 07:53:57] ppdet.engine INFO: Epoch: [38] [220/229] learning_rate: 0.383584 loss_vfl: 0.923495 loss_bbox: 0.355158 loss_dfl: 0.207610 loss: 1.481793 eta: 2 days, 9:29:02 batch_cost: 3.1778 data_cost: 0.0025 ips: 40.2791 images/s [10/15 07:54:50] ppdet.engine INFO: Epoch: [39] [ 0/229] learning_rate: 0.383551 loss_vfl: 0.915408 loss_bbox: 0.349103 loss_dfl: 0.205417 loss: 1.474323 eta: 2 days, 9:30:31 batch_cost: 4.1069 data_cost: 0.5498 ips: 31.1671 images/s [10/15 07:56:04] ppdet.engine INFO: Epoch: [39] [ 20/229] learning_rate: 0.383478 loss_vfl: 0.930422 loss_bbox: 0.362262 loss_dfl: 0.214306 loss: 1.503525 eta: 2 days, 9:29:27 batch_cost: 3.5055 data_cost: 0.0027 ips: 36.5142 images/s [10/15 07:57:14] ppdet.engine INFO: Epoch: [39] [ 40/229] learning_rate: 0.383405 loss_vfl: 0.907195 loss_bbox: 0.364131 loss_dfl: 0.213625 loss: 1.485594 eta: 2 days, 9:28:04 batch_cost: 3.3582 data_cost: 0.0025 ips: 38.1155 images/s [10/15 07:58:25] ppdet.engine INFO: Epoch: [39] [ 60/229] learning_rate: 0.383332 loss_vfl: 0.937869 loss_bbox: 0.367328 loss_dfl: 0.218891 loss: 1.520373 eta: 2 days, 9:26:52 batch_cost: 3.4446 data_cost: 0.0025 ips: 37.1596 images/s [10/15 07:59:37] ppdet.engine INFO: Epoch: [39] [ 80/229] learning_rate: 0.383259 loss_vfl: 0.932480 loss_bbox: 0.362252 loss_dfl: 0.213957 loss: 1.498222 eta: 2 days, 9:25:40 batch_cost: 3.4404 data_cost: 0.0036 ips: 37.2053 images/s [10/15 08:00:48] ppdet.engine INFO: Epoch: [39] [100/229] learning_rate: 0.383186 loss_vfl: 0.942268 loss_bbox: 0.350254 loss_dfl: 0.204618 loss: 1.502345 eta: 2 days, 9:24:22 batch_cost: 3.4001 data_cost: 0.0024 ips: 37.6458 images/s [10/15 08:01:59] ppdet.engine INFO: Epoch: [39] [120/229] learning_rate: 0.383112 loss_vfl: 0.920694 loss_bbox: 0.374586 loss_dfl: 0.217382 loss: 1.511644 eta: 2 days, 9:23:01 batch_cost: 3.3759 data_cost: 0.0025 ips: 37.9157 images/s [10/15 08:03:11] ppdet.engine INFO: Epoch: [39] [140/229] learning_rate: 0.383039 loss_vfl: 0.929885 loss_bbox: 0.358116 loss_dfl: 0.211200 loss: 1.491188 eta: 2 days, 9:21:52 batch_cost: 3.4603 data_cost: 0.0025 ips: 36.9912 images/s [10/15 08:04:23] ppdet.engine INFO: Epoch: [39] [160/229] learning_rate: 0.382965 loss_vfl: 0.922081 loss_bbox: 0.358435 loss_dfl: 0.214139 loss: 1.491839 eta: 2 days, 9:20:43 batch_cost: 3.4662 data_cost: 0.0023 ips: 36.9286 images/s [10/15 08:05:36] ppdet.engine INFO: Epoch: [39] [180/229] learning_rate: 0.382891 loss_vfl: 0.925727 loss_bbox: 0.354614 loss_dfl: 0.205034 loss: 1.492608 eta: 2 days, 9:19:35 batch_cost: 3.4722 data_cost: 0.0036 ips: 36.8644 images/s [10/15 08:06:46] ppdet.engine INFO: Epoch: [39] [200/229] learning_rate: 0.382817 loss_vfl: 0.926466 loss_bbox: 0.363734 loss_dfl: 0.209986 loss: 1.511380 eta: 2 days, 9:18:12 batch_cost: 3.3633 data_cost: 0.0024 ips: 38.0576 images/s [10/15 08:07:52] ppdet.engine INFO: Epoch: [39] [220/229] learning_rate: 0.382743 loss_vfl: 0.924720 loss_bbox: 0.374909 loss_dfl: 0.214531 loss: 1.517641 eta: 2 days, 9:16:25 batch_cost: 3.1672 data_cost: 0.0024 ips: 40.4140 images/s [10/15 08:08:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 08:08:20] ppdet.engine INFO: Eval iter: 0 [10/15 08:09:00] ppdet.engine INFO: Eval iter: 100 [10/15 08:09:25] ppdet.engine INFO: Eval iter: 200 [10/15 08:09:48] ppdet.engine INFO: Eval iter: 300 [10/15 08:10:13] ppdet.engine INFO: Eval iter: 400 [10/15 08:10:39] ppdet.engine INFO: Eval iter: 500 [10/15 08:11:02] ppdet.engine INFO: Eval iter: 600 [10/15 08:11:23] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/15 08:11:24] 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=94.81s). Accumulating evaluation results... DONE (t=16.98s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.230 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.362 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.237 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.066 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 ] = 0.399 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 ] = 0.358 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 ] = 0.117 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.412 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.636 [10/15 08:13:22] ppdet.engine INFO: Total sample number: 5000, averge FPS: 29.303974025342146 [10/15 08:13:22] ppdet.engine INFO: Best test bbox ap is 0.230. [10/15 08:13:22] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 08:13:26] ppdet.engine INFO: Epoch: [40] [ 0/229] learning_rate: 0.382709 loss_vfl: 0.920603 loss_bbox: 0.370043 loss_dfl: 0.212640 loss: 1.493909 eta: 2 days, 9:15:14 batch_cost: 2.9194 data_cost: 0.0024 ips: 43.8450 images/s [10/15 08:14:39] ppdet.engine INFO: Epoch: [40] [ 20/229] learning_rate: 0.382635 loss_vfl: 0.923064 loss_bbox: 0.368647 loss_dfl: 0.212838 loss: 1.510501 eta: 2 days, 9:14:09 batch_cost: 3.4908 data_cost: 0.0026 ips: 36.6678 images/s [10/15 08:15:50] ppdet.engine INFO: Epoch: [40] [ 40/229] learning_rate: 0.382560 loss_vfl: 0.922608 loss_bbox: 0.356755 loss_dfl: 0.208355 loss: 1.492421 eta: 2 days, 9:12:53 batch_cost: 3.4086 data_cost: 0.0023 ips: 37.5518 images/s [10/15 08:17:00] ppdet.engine INFO: Epoch: [40] [ 60/229] learning_rate: 0.382485 loss_vfl: 0.914401 loss_bbox: 0.376818 loss_dfl: 0.212104 loss: 1.482229 eta: 2 days, 9:11:31 batch_cost: 3.3682 data_cost: 0.0023 ips: 38.0025 images/s [10/15 08:18:11] ppdet.engine INFO: Epoch: [40] [ 80/229] learning_rate: 0.382410 loss_vfl: 0.918103 loss_bbox: 0.380398 loss_dfl: 0.220825 loss: 1.520173 eta: 2 days, 9:10:13 batch_cost: 3.3929 data_cost: 0.0023 ips: 37.7254 images/s [10/15 08:19:24] ppdet.engine INFO: Epoch: [40] [100/229] learning_rate: 0.382335 loss_vfl: 0.931267 loss_bbox: 0.363413 loss_dfl: 0.211792 loss: 1.510592 eta: 2 days, 9:09:06 batch_cost: 3.4779 data_cost: 0.0028 ips: 36.8035 images/s [10/15 08:20:33] ppdet.engine INFO: Epoch: [40] [120/229] learning_rate: 0.382260 loss_vfl: 0.923267 loss_bbox: 0.373274 loss_dfl: 0.211190 loss: 1.501143 eta: 2 days, 9:07:39 batch_cost: 3.3187 data_cost: 0.0024 ips: 38.5696 images/s [10/15 08:21:42] ppdet.engine INFO: Epoch: [40] [140/229] learning_rate: 0.382185 loss_vfl: 0.915775 loss_bbox: 0.358827 loss_dfl: 0.210259 loss: 1.484843 eta: 2 days, 9:06:07 batch_cost: 3.2887 data_cost: 0.0024 ips: 38.9209 images/s [10/15 08:22:51] ppdet.engine INFO: Epoch: [40] [160/229] learning_rate: 0.382109 loss_vfl: 0.916200 loss_bbox: 0.357404 loss_dfl: 0.210024 loss: 1.487824 eta: 2 days, 9:04:40 batch_cost: 3.3172 data_cost: 0.0023 ips: 38.5865 images/s [10/15 08:24:01] ppdet.engine INFO: Epoch: [40] [180/229] learning_rate: 0.382033 loss_vfl: 0.926833 loss_bbox: 0.358120 loss_dfl: 0.208556 loss: 1.491499 eta: 2 days, 9:03:20 batch_cost: 3.3772 data_cost: 0.0024 ips: 37.9014 images/s [10/15 08:25:13] ppdet.engine INFO: Epoch: [40] [200/229] learning_rate: 0.381957 loss_vfl: 0.915687 loss_bbox: 0.364195 loss_dfl: 0.209038 loss: 1.511708 eta: 2 days, 9:02:07 batch_cost: 3.4299 data_cost: 0.0028 ips: 37.3191 images/s [10/15 08:26:19] ppdet.engine INFO: Epoch: [40] [220/229] learning_rate: 0.381881 loss_vfl: 0.930657 loss_bbox: 0.364855 loss_dfl: 0.208566 loss: 1.486245 eta: 2 days, 9:00:17 batch_cost: 3.1382 data_cost: 0.0024 ips: 40.7880 images/s [10/15 08:27:13] ppdet.engine INFO: Epoch: [41] [ 0/229] learning_rate: 0.381847 loss_vfl: 0.931608 loss_bbox: 0.371385 loss_dfl: 0.209933 loss: 1.497009 eta: 2 days, 9:01:43 batch_cost: 4.1149 data_cost: 0.8094 ips: 31.1068 images/s [10/15 08:28:23] ppdet.engine INFO: Epoch: [41] [ 20/229] learning_rate: 0.381771 loss_vfl: 0.924851 loss_bbox: 0.364592 loss_dfl: 0.217930 loss: 1.507384 eta: 2 days, 9:00:21 batch_cost: 3.3650 data_cost: 0.0026 ips: 38.0388 images/s [10/15 08:29:34] ppdet.engine INFO: Epoch: [41] [ 40/229] learning_rate: 0.381695 loss_vfl: 0.939966 loss_bbox: 0.355742 loss_dfl: 0.205913 loss: 1.507554 eta: 2 days, 8:59:03 batch_cost: 3.3894 data_cost: 0.0070 ips: 37.7646 images/s [10/15 08:30:45] ppdet.engine INFO: Epoch: [41] [ 60/229] learning_rate: 0.381618 loss_vfl: 0.917136 loss_bbox: 0.356541 loss_dfl: 0.220035 loss: 1.502676 eta: 2 days, 8:57:45 batch_cost: 3.3867 data_cost: 0.0024 ips: 37.7949 images/s [10/15 08:31:57] ppdet.engine INFO: Epoch: [41] [ 80/229] learning_rate: 0.381541 loss_vfl: 0.919452 loss_bbox: 0.359464 loss_dfl: 0.206678 loss: 1.483379 eta: 2 days, 8:56:35 batch_cost: 3.4605 data_cost: 0.0025 ips: 36.9891 images/s [10/15 08:33:08] ppdet.engine INFO: Epoch: [41] [100/229] learning_rate: 0.381465 loss_vfl: 0.928390 loss_bbox: 0.350575 loss_dfl: 0.210757 loss: 1.496089 eta: 2 days, 8:55:16 batch_cost: 3.3831 data_cost: 0.0025 ips: 37.8351 images/s [10/15 08:34:19] ppdet.engine INFO: Epoch: [41] [120/229] learning_rate: 0.381388 loss_vfl: 0.918265 loss_bbox: 0.367624 loss_dfl: 0.211147 loss: 1.504457 eta: 2 days, 8:54:01 batch_cost: 3.4068 data_cost: 0.0024 ips: 37.5723 images/s [10/15 08:35:30] ppdet.engine INFO: Epoch: [41] [140/229] learning_rate: 0.381310 loss_vfl: 0.943681 loss_bbox: 0.361857 loss_dfl: 0.210962 loss: 1.532245 eta: 2 days, 8:52:46 batch_cost: 3.4185 data_cost: 0.0031 ips: 37.4429 images/s [10/15 08:36:40] ppdet.engine INFO: Epoch: [41] [160/229] learning_rate: 0.381233 loss_vfl: 0.924815 loss_bbox: 0.359508 loss_dfl: 0.206915 loss: 1.511575 eta: 2 days, 8:51:21 batch_cost: 3.3314 data_cost: 0.0024 ips: 38.4223 images/s [10/15 08:37:50] ppdet.engine INFO: Epoch: [41] [180/229] learning_rate: 0.381156 loss_vfl: 0.927026 loss_bbox: 0.344755 loss_dfl: 0.201023 loss: 1.470114 eta: 2 days, 8:49:59 batch_cost: 3.3608 data_cost: 0.0025 ips: 38.0858 images/s [10/15 08:39:00] ppdet.engine INFO: Epoch: [41] [200/229] learning_rate: 0.381078 loss_vfl: 0.913917 loss_bbox: 0.356392 loss_dfl: 0.213847 loss: 1.496020 eta: 2 days, 8:48:35 batch_cost: 3.3380 data_cost: 0.0025 ips: 38.3466 images/s [10/15 08:40:07] ppdet.engine INFO: Epoch: [41] [220/229] learning_rate: 0.381000 loss_vfl: 0.920735 loss_bbox: 0.370329 loss_dfl: 0.217262 loss: 1.502220 eta: 2 days, 8:46:53 batch_cost: 3.1958 data_cost: 0.0025 ips: 40.0527 images/s [10/15 08:41:01] ppdet.engine INFO: Epoch: [42] [ 0/229] learning_rate: 0.380965 loss_vfl: 0.920573 loss_bbox: 0.362243 loss_dfl: 0.210566 loss: 1.499470 eta: 2 days, 8:48:13 batch_cost: 4.1131 data_cost: 0.6380 ips: 31.1202 images/s [10/15 08:42:12] ppdet.engine INFO: Epoch: [42] [ 20/229] learning_rate: 0.380887 loss_vfl: 0.922859 loss_bbox: 0.367638 loss_dfl: 0.212756 loss: 1.490721 eta: 2 days, 8:46:59 batch_cost: 3.4230 data_cost: 0.0027 ips: 37.3946 images/s [10/15 08:43:20] ppdet.engine INFO: Epoch: [42] [ 40/229] learning_rate: 0.380809 loss_vfl: 0.917614 loss_bbox: 0.361237 loss_dfl: 0.211669 loss: 1.492042 eta: 2 days, 8:45:24 batch_cost: 3.2510 data_cost: 0.0026 ips: 39.3720 images/s [10/15 08:44:29] ppdet.engine INFO: Epoch: [42] [ 60/229] learning_rate: 0.380731 loss_vfl: 0.912288 loss_bbox: 0.371902 loss_dfl: 0.209637 loss: 1.491353 eta: 2 days, 8:43:56 batch_cost: 3.3008 data_cost: 0.0025 ips: 38.7785 images/s [10/15 08:45:41] ppdet.engine INFO: Epoch: [42] [ 80/229] learning_rate: 0.380653 loss_vfl: 0.932215 loss_bbox: 0.359387 loss_dfl: 0.209630 loss: 1.478693 eta: 2 days, 8:42:46 batch_cost: 3.4515 data_cost: 0.0025 ips: 37.0848 images/s [10/15 08:46:51] ppdet.engine INFO: Epoch: [42] [100/229] learning_rate: 0.380574 loss_vfl: 0.928016 loss_bbox: 0.360426 loss_dfl: 0.210848 loss: 1.493478 eta: 2 days, 8:41:25 batch_cost: 3.3649 data_cost: 0.0024 ips: 38.0398 images/s [10/15 08:48:03] ppdet.engine INFO: Epoch: [42] [120/229] learning_rate: 0.380495 loss_vfl: 0.914363 loss_bbox: 0.346475 loss_dfl: 0.208048 loss: 1.474206 eta: 2 days, 8:40:11 batch_cost: 3.4268 data_cost: 0.0024 ips: 37.3522 images/s [10/15 08:49:15] ppdet.engine INFO: Epoch: [42] [140/229] learning_rate: 0.380417 loss_vfl: 0.906210 loss_bbox: 0.370611 loss_dfl: 0.219762 loss: 1.513353 eta: 2 days, 8:39:05 batch_cost: 3.4844 data_cost: 0.0024 ips: 36.7353 images/s [10/15 08:50:25] ppdet.engine INFO: Epoch: [42] [160/229] learning_rate: 0.380338 loss_vfl: 0.932426 loss_bbox: 0.363946 loss_dfl: 0.211390 loss: 1.509535 eta: 2 days, 8:37:44 batch_cost: 3.3631 data_cost: 0.0023 ips: 38.0605 images/s [10/15 08:51:37] ppdet.engine INFO: Epoch: [42] [180/229] learning_rate: 0.380258 loss_vfl: 0.924138 loss_bbox: 0.358983 loss_dfl: 0.214208 loss: 1.507942 eta: 2 days, 8:36:29 batch_cost: 3.4129 data_cost: 0.0025 ips: 37.5052 images/s [10/15 08:52:48] ppdet.engine INFO: Epoch: [42] [200/229] learning_rate: 0.380179 loss_vfl: 0.929345 loss_bbox: 0.350077 loss_dfl: 0.207655 loss: 1.488474 eta: 2 days, 8:35:14 batch_cost: 3.4075 data_cost: 0.0025 ips: 37.5639 images/s [10/15 08:53:53] ppdet.engine INFO: Epoch: [42] [220/229] learning_rate: 0.380100 loss_vfl: 0.919291 loss_bbox: 0.359523 loss_dfl: 0.211692 loss: 1.486970 eta: 2 days, 8:33:22 batch_cost: 3.0986 data_cost: 0.0023 ips: 41.3094 images/s [10/15 08:54:48] ppdet.engine INFO: Epoch: [43] [ 0/229] learning_rate: 0.380064 loss_vfl: 0.926884 loss_bbox: 0.359523 loss_dfl: 0.213642 loss: 1.491427 eta: 2 days, 8:34:48 batch_cost: 4.1767 data_cost: 0.6502 ips: 30.6459 images/s [10/15 08:56:02] ppdet.engine INFO: Epoch: [43] [ 20/229] learning_rate: 0.379984 loss_vfl: 0.925382 loss_bbox: 0.353238 loss_dfl: 0.212810 loss: 1.508843 eta: 2 days, 8:33:49 batch_cost: 3.5430 data_cost: 0.0027 ips: 36.1275 images/s [10/15 08:57:15] ppdet.engine INFO: Epoch: [43] [ 40/229] learning_rate: 0.379904 loss_vfl: 0.912937 loss_bbox: 0.356469 loss_dfl: 0.215658 loss: 1.487933 eta: 2 days, 8:32:43 batch_cost: 3.4859 data_cost: 0.0024 ips: 36.7190 images/s [10/15 08:58:25] ppdet.engine INFO: Epoch: [43] [ 60/229] learning_rate: 0.379824 loss_vfl: 0.915970 loss_bbox: 0.356561 loss_dfl: 0.209889 loss: 1.475244 eta: 2 days, 8:31:21 batch_cost: 3.3534 data_cost: 0.0025 ips: 38.1700 images/s [10/15 08:59:35] ppdet.engine INFO: Epoch: [43] [ 80/229] learning_rate: 0.379744 loss_vfl: 0.918178 loss_bbox: 0.355659 loss_dfl: 0.211284 loss: 1.487195 eta: 2 days, 8:30:01 batch_cost: 3.3697 data_cost: 0.0025 ips: 37.9851 images/s [10/15 09:00:46] ppdet.engine INFO: Epoch: [43] [100/229] learning_rate: 0.379664 loss_vfl: 0.917947 loss_bbox: 0.337412 loss_dfl: 0.203497 loss: 1.465119 eta: 2 days, 8:28:45 batch_cost: 3.4072 data_cost: 0.0025 ips: 37.5677 images/s [10/15 09:01:56] ppdet.engine INFO: Epoch: [43] [120/229] learning_rate: 0.379583 loss_vfl: 0.917285 loss_bbox: 0.369417 loss_dfl: 0.216146 loss: 1.506536 eta: 2 days, 8:27:22 batch_cost: 3.3433 data_cost: 0.0024 ips: 38.2851 images/s [10/15 09:03:07] ppdet.engine INFO: Epoch: [43] [140/229] learning_rate: 0.379503 loss_vfl: 0.917131 loss_bbox: 0.359568 loss_dfl: 0.211570 loss: 1.494353 eta: 2 days, 8:26:08 batch_cost: 3.4179 data_cost: 0.0036 ips: 37.4499 images/s [10/15 09:04:17] ppdet.engine INFO: Epoch: [43] [160/229] learning_rate: 0.379422 loss_vfl: 0.929958 loss_bbox: 0.366549 loss_dfl: 0.211246 loss: 1.482696 eta: 2 days, 8:24:44 batch_cost: 3.3386 data_cost: 0.0024 ips: 38.3392 images/s [10/15 09:05:29] ppdet.engine INFO: Epoch: [43] [180/229] learning_rate: 0.379341 loss_vfl: 0.936956 loss_bbox: 0.352672 loss_dfl: 0.210861 loss: 1.493051 eta: 2 days, 8:23:36 batch_cost: 3.4665 data_cost: 0.0030 ips: 36.9252 images/s [10/15 09:06:40] ppdet.engine INFO: Epoch: [43] [200/229] learning_rate: 0.379260 loss_vfl: 0.920565 loss_bbox: 0.366843 loss_dfl: 0.212304 loss: 1.494988 eta: 2 days, 8:22:20 batch_cost: 3.4046 data_cost: 0.0023 ips: 37.5963 images/s [10/15 09:07:49] ppdet.engine INFO: Epoch: [43] [220/229] learning_rate: 0.379179 loss_vfl: 0.925596 loss_bbox: 0.360503 loss_dfl: 0.213057 loss: 1.496674 eta: 2 days, 8:20:52 batch_cost: 3.3003 data_cost: 0.0027 ips: 38.7847 images/s [10/15 09:08:41] ppdet.engine INFO: Epoch: [44] [ 0/229] learning_rate: 0.379142 loss_vfl: 0.928680 loss_bbox: 0.363966 loss_dfl: 0.212509 loss: 1.494681 eta: 2 days, 8:21:56 batch_cost: 4.0806 data_cost: 0.5073 ips: 31.3677 images/s [10/15 09:09:54] ppdet.engine INFO: Epoch: [44] [ 20/229] learning_rate: 0.379061 loss_vfl: 0.912149 loss_bbox: 0.352516 loss_dfl: 0.203101 loss: 1.463893 eta: 2 days, 8:20:48 batch_cost: 3.4650 data_cost: 0.0026 ips: 36.9408 images/s [10/15 09:11:04] ppdet.engine INFO: Epoch: [44] [ 40/229] learning_rate: 0.378979 loss_vfl: 0.908103 loss_bbox: 0.354415 loss_dfl: 0.207300 loss: 1.473416 eta: 2 days, 8:19:27 batch_cost: 3.3628 data_cost: 0.0025 ips: 38.0632 images/s [10/15 09:12:13] ppdet.engine INFO: Epoch: [44] [ 60/229] learning_rate: 0.378898 loss_vfl: 0.912284 loss_bbox: 0.348752 loss_dfl: 0.198266 loss: 1.470749 eta: 2 days, 8:17:59 batch_cost: 3.3010 data_cost: 0.0023 ips: 38.7760 images/s [10/15 09:13:24] ppdet.engine INFO: Epoch: [44] [ 80/229] learning_rate: 0.378816 loss_vfl: 0.920374 loss_bbox: 0.365929 loss_dfl: 0.209641 loss: 1.503511 eta: 2 days, 8:16:43 batch_cost: 3.4006 data_cost: 0.0024 ips: 37.6404 images/s [10/15 09:14:35] ppdet.engine INFO: Epoch: [44] [100/229] learning_rate: 0.378734 loss_vfl: 0.921547 loss_bbox: 0.376918 loss_dfl: 0.223036 loss: 1.518734 eta: 2 days, 8:15:29 batch_cost: 3.4178 data_cost: 0.0025 ips: 37.4506 images/s [10/15 09:15:45] ppdet.engine INFO: Epoch: [44] [120/229] learning_rate: 0.378652 loss_vfl: 0.917208 loss_bbox: 0.350097 loss_dfl: 0.213102 loss: 1.506233 eta: 2 days, 8:14:04 batch_cost: 3.3226 data_cost: 0.0024 ips: 38.5241 images/s [10/15 09:16:56] ppdet.engine INFO: Epoch: [44] [140/229] learning_rate: 0.378569 loss_vfl: 0.919162 loss_bbox: 0.365272 loss_dfl: 0.206228 loss: 1.471241 eta: 2 days, 8:12:52 batch_cost: 3.4360 data_cost: 0.0024 ips: 37.2529 images/s [10/15 09:18:07] ppdet.engine INFO: Epoch: [44] [160/229] learning_rate: 0.378487 loss_vfl: 0.928758 loss_bbox: 0.352323 loss_dfl: 0.207407 loss: 1.503546 eta: 2 days, 8:11:37 batch_cost: 3.4115 data_cost: 0.0024 ips: 37.5202 images/s [10/15 09:19:18] ppdet.engine INFO: Epoch: [44] [180/229] learning_rate: 0.378404 loss_vfl: 0.927827 loss_bbox: 0.367944 loss_dfl: 0.216579 loss: 1.501590 eta: 2 days, 8:10:18 batch_cost: 3.3732 data_cost: 0.0023 ips: 37.9457 images/s [10/15 09:20:28] ppdet.engine INFO: Epoch: [44] [200/229] learning_rate: 0.378322 loss_vfl: 0.920330 loss_bbox: 0.365127 loss_dfl: 0.210657 loss: 1.495318 eta: 2 days, 8:08:56 batch_cost: 3.3487 data_cost: 0.0024 ips: 38.2239 images/s [10/15 09:21:37] ppdet.engine INFO: Epoch: [44] [220/229] learning_rate: 0.378239 loss_vfl: 0.932016 loss_bbox: 0.347407 loss_dfl: 0.208802 loss: 1.488384 eta: 2 days, 8:07:31 batch_cost: 3.3200 data_cost: 0.0023 ips: 38.5541 images/s [10/15 09:22:29] ppdet.engine INFO: Epoch: [45] [ 0/229] learning_rate: 0.378201 loss_vfl: 0.916280 loss_bbox: 0.346422 loss_dfl: 0.207358 loss: 1.465059 eta: 2 days, 8:08:31 batch_cost: 4.1080 data_cost: 0.4949 ips: 31.1587 images/s [10/15 09:23:42] ppdet.engine INFO: Epoch: [45] [ 20/229] learning_rate: 0.378118 loss_vfl: 0.914848 loss_bbox: 0.364081 loss_dfl: 0.213235 loss: 1.489320 eta: 2 days, 8:07:24 batch_cost: 3.4801 data_cost: 0.0027 ips: 36.7807 images/s [10/15 09:24:54] ppdet.engine INFO: Epoch: [45] [ 40/229] learning_rate: 0.378035 loss_vfl: 0.913905 loss_bbox: 0.361316 loss_dfl: 0.215529 loss: 1.488381 eta: 2 days, 8:06:14 batch_cost: 3.4589 data_cost: 0.0026 ips: 37.0055 images/s [10/15 09:26:07] ppdet.engine INFO: Epoch: [45] [ 60/229] learning_rate: 0.377952 loss_vfl: 0.911370 loss_bbox: 0.358708 loss_dfl: 0.210446 loss: 1.468368 eta: 2 days, 8:05:11 batch_cost: 3.5144 data_cost: 0.0024 ips: 36.4215 images/s [10/15 09:27:19] ppdet.engine INFO: Epoch: [45] [ 80/229] learning_rate: 0.377868 loss_vfl: 0.920141 loss_bbox: 0.359039 loss_dfl: 0.213216 loss: 1.494020 eta: 2 days, 8:03:58 batch_cost: 3.4269 data_cost: 0.0029 ips: 37.3516 images/s [10/15 09:28:28] ppdet.engine INFO: Epoch: [45] [100/229] learning_rate: 0.377784 loss_vfl: 0.919374 loss_bbox: 0.360035 loss_dfl: 0.213851 loss: 1.504537 eta: 2 days, 8:02:35 batch_cost: 3.3410 data_cost: 0.0025 ips: 38.3123 images/s [10/15 09:29:39] ppdet.engine INFO: Epoch: [45] [120/229] learning_rate: 0.377700 loss_vfl: 0.898920 loss_bbox: 0.362313 loss_dfl: 0.210842 loss: 1.468522 eta: 2 days, 8:01:17 batch_cost: 3.3797 data_cost: 0.0026 ips: 37.8728 images/s [10/15 09:30:50] ppdet.engine INFO: Epoch: [45] [140/229] learning_rate: 0.377616 loss_vfl: 0.915711 loss_bbox: 0.350152 loss_dfl: 0.209996 loss: 1.477751 eta: 2 days, 7:59:59 batch_cost: 3.3849 data_cost: 0.0025 ips: 37.8145 images/s [10/15 09:32:01] ppdet.engine INFO: Epoch: [45] [160/229] learning_rate: 0.377532 loss_vfl: 0.922698 loss_bbox: 0.339141 loss_dfl: 0.200886 loss: 1.483064 eta: 2 days, 7:58:47 batch_cost: 3.4326 data_cost: 0.0027 ips: 37.2896 images/s [10/15 09:33:11] ppdet.engine INFO: Epoch: [45] [180/229] learning_rate: 0.377448 loss_vfl: 0.907243 loss_bbox: 0.359845 loss_dfl: 0.213776 loss: 1.483255 eta: 2 days, 7:57:25 batch_cost: 3.3462 data_cost: 0.0024 ips: 38.2518 images/s [10/15 09:34:22] ppdet.engine INFO: Epoch: [45] [200/229] learning_rate: 0.377363 loss_vfl: 0.907665 loss_bbox: 0.355216 loss_dfl: 0.214420 loss: 1.495746 eta: 2 days, 7:56:08 batch_cost: 3.3917 data_cost: 0.0025 ips: 37.7390 images/s [10/15 09:35:30] ppdet.engine INFO: Epoch: [45] [220/229] learning_rate: 0.377279 loss_vfl: 0.911603 loss_bbox: 0.367181 loss_dfl: 0.213579 loss: 1.495652 eta: 2 days, 7:54:35 batch_cost: 3.2405 data_cost: 0.0025 ips: 39.5001 images/s [10/15 09:36:22] ppdet.engine INFO: Epoch: [46] [ 0/229] learning_rate: 0.377241 loss_vfl: 0.908482 loss_bbox: 0.363253 loss_dfl: 0.216072 loss: 1.491819 eta: 2 days, 7:55:38 batch_cost: 4.1035 data_cost: 0.4916 ips: 31.1927 images/s [10/15 09:37:36] ppdet.engine INFO: Epoch: [46] [ 20/229] learning_rate: 0.377156 loss_vfl: 0.911019 loss_bbox: 0.360214 loss_dfl: 0.213720 loss: 1.488984 eta: 2 days, 7:54:36 batch_cost: 3.5296 data_cost: 0.0026 ips: 36.2651 images/s [10/15 09:38:47] ppdet.engine INFO: Epoch: [46] [ 40/229] learning_rate: 0.377071 loss_vfl: 0.911335 loss_bbox: 0.363662 loss_dfl: 0.210948 loss: 1.475255 eta: 2 days, 7:53:20 batch_cost: 3.3963 data_cost: 0.0025 ips: 37.6878 images/s [10/15 09:39:56] ppdet.engine INFO: Epoch: [46] [ 60/229] learning_rate: 0.376986 loss_vfl: 0.910925 loss_bbox: 0.353366 loss_dfl: 0.205364 loss: 1.475110 eta: 2 days, 7:51:54 batch_cost: 3.3092 data_cost: 0.0027 ips: 38.6798 images/s [10/15 09:41:06] ppdet.engine INFO: Epoch: [46] [ 80/229] learning_rate: 0.376901 loss_vfl: 0.929336 loss_bbox: 0.345211 loss_dfl: 0.208971 loss: 1.478104 eta: 2 days, 7:50:34 batch_cost: 3.3606 data_cost: 0.0024 ips: 38.0882 images/s [10/15 09:42:16] ppdet.engine INFO: Epoch: [46] [100/229] learning_rate: 0.376815 loss_vfl: 0.914604 loss_bbox: 0.357242 loss_dfl: 0.214107 loss: 1.480941 eta: 2 days, 7:49:13 batch_cost: 3.3574 data_cost: 0.0030 ips: 38.1251 images/s [10/15 09:43:29] ppdet.engine INFO: Epoch: [46] [120/229] learning_rate: 0.376730 loss_vfl: 0.921268 loss_bbox: 0.352231 loss_dfl: 0.205241 loss: 1.466653 eta: 2 days, 7:48:04 batch_cost: 3.4665 data_cost: 0.0029 ips: 36.9244 images/s [10/15 09:44:40] ppdet.engine INFO: Epoch: [46] [140/229] learning_rate: 0.376644 loss_vfl: 0.933462 loss_bbox: 0.370042 loss_dfl: 0.220702 loss: 1.522469 eta: 2 days, 7:46:51 batch_cost: 3.4228 data_cost: 0.0031 ips: 37.3967 images/s [10/15 09:45:51] ppdet.engine INFO: Epoch: [46] [160/229] learning_rate: 0.376558 loss_vfl: 0.918358 loss_bbox: 0.381429 loss_dfl: 0.214665 loss: 1.500337 eta: 2 days, 7:45:36 batch_cost: 3.4040 data_cost: 0.0031 ips: 37.6026 images/s [10/15 09:47:02] ppdet.engine INFO: Epoch: [46] [180/229] learning_rate: 0.376472 loss_vfl: 0.913922 loss_bbox: 0.349988 loss_dfl: 0.207417 loss: 1.471812 eta: 2 days, 7:44:19 batch_cost: 3.3881 data_cost: 0.0025 ips: 37.7795 images/s [10/15 09:48:13] ppdet.engine INFO: Epoch: [46] [200/229] learning_rate: 0.376386 loss_vfl: 0.918878 loss_bbox: 0.349634 loss_dfl: 0.200636 loss: 1.472058 eta: 2 days, 7:43:02 batch_cost: 3.3889 data_cost: 0.0025 ips: 37.7701 images/s [10/15 09:49:20] ppdet.engine INFO: Epoch: [46] [220/229] learning_rate: 0.376300 loss_vfl: 0.932512 loss_bbox: 0.355594 loss_dfl: 0.209428 loss: 1.482727 eta: 2 days, 7:41:28 batch_cost: 3.2346 data_cost: 0.0026 ips: 39.5725 images/s [10/15 09:50:13] ppdet.engine INFO: Epoch: [47] [ 0/229] learning_rate: 0.376261 loss_vfl: 0.924460 loss_bbox: 0.360850 loss_dfl: 0.212703 loss: 1.507778 eta: 2 days, 7:42:29 batch_cost: 4.0998 data_cost: 0.3628 ips: 31.2212 images/s [10/15 09:51:27] ppdet.engine INFO: Epoch: [47] [ 20/229] learning_rate: 0.376174 loss_vfl: 0.925194 loss_bbox: 0.355915 loss_dfl: 0.214714 loss: 1.501401 eta: 2 days, 7:41:29 batch_cost: 3.5538 data_cost: 0.0030 ips: 36.0177 images/s [10/15 09:52:41] ppdet.engine INFO: Epoch: [47] [ 40/229] learning_rate: 0.376088 loss_vfl: 0.915964 loss_bbox: 0.371921 loss_dfl: 0.213456 loss: 1.502668 eta: 2 days, 7:40:24 batch_cost: 3.5020 data_cost: 0.0028 ips: 36.5501 images/s [10/15 09:53:54] ppdet.engine INFO: Epoch: [47] [ 60/229] learning_rate: 0.376001 loss_vfl: 0.910261 loss_bbox: 0.350609 loss_dfl: 0.203320 loss: 1.463671 eta: 2 days, 7:39:20 batch_cost: 3.5099 data_cost: 0.0026 ips: 36.4687 images/s [10/15 09:55:07] ppdet.engine INFO: Epoch: [47] [ 80/229] learning_rate: 0.375914 loss_vfl: 0.921467 loss_bbox: 0.351623 loss_dfl: 0.206179 loss: 1.481930 eta: 2 days, 7:38:19 batch_cost: 3.5322 data_cost: 0.0025 ips: 36.2383 images/s [10/15 09:56:20] ppdet.engine INFO: Epoch: [47] [100/229] learning_rate: 0.375827 loss_vfl: 0.909465 loss_bbox: 0.342023 loss_dfl: 0.200160 loss: 1.443035 eta: 2 days, 7:37:10 batch_cost: 3.4672 data_cost: 0.0024 ips: 36.9178 images/s [10/15 09:57:31] ppdet.engine INFO: Epoch: [47] [120/229] learning_rate: 0.375739 loss_vfl: 0.909793 loss_bbox: 0.369199 loss_dfl: 0.215411 loss: 1.489027 eta: 2 days, 7:35:57 batch_cost: 3.4235 data_cost: 0.0028 ips: 37.3887 images/s [10/15 09:58:43] ppdet.engine INFO: Epoch: [47] [140/229] learning_rate: 0.375652 loss_vfl: 0.919034 loss_bbox: 0.351787 loss_dfl: 0.209826 loss: 1.499139 eta: 2 days, 7:34:46 batch_cost: 3.4458 data_cost: 0.0024 ips: 37.1462 images/s [10/15 09:59:54] ppdet.engine INFO: Epoch: [47] [160/229] learning_rate: 0.375564 loss_vfl: 0.907488 loss_bbox: 0.363220 loss_dfl: 0.204935 loss: 1.478117 eta: 2 days, 7:33:29 batch_cost: 3.3963 data_cost: 0.0031 ips: 37.6882 images/s [10/15 10:01:04] ppdet.engine INFO: Epoch: [47] [180/229] learning_rate: 0.375477 loss_vfl: 0.929031 loss_bbox: 0.353783 loss_dfl: 0.205399 loss: 1.488210 eta: 2 days, 7:32:09 batch_cost: 3.3511 data_cost: 0.0026 ips: 38.1969 images/s [10/15 10:02:17] ppdet.engine INFO: Epoch: [47] [200/229] learning_rate: 0.375389 loss_vfl: 0.919372 loss_bbox: 0.357643 loss_dfl: 0.211946 loss: 1.492927 eta: 2 days, 7:31:03 batch_cost: 3.4978 data_cost: 0.0026 ips: 36.5949 images/s [10/15 10:03:25] ppdet.engine INFO: Epoch: [47] [220/229] learning_rate: 0.375301 loss_vfl: 0.948707 loss_bbox: 0.348041 loss_dfl: 0.212798 loss: 1.499055 eta: 2 days, 7:29:33 batch_cost: 3.2667 data_cost: 0.0026 ips: 39.1827 images/s [10/15 10:04:19] ppdet.engine INFO: Epoch: [48] [ 0/229] learning_rate: 0.375261 loss_vfl: 0.944482 loss_bbox: 0.353278 loss_dfl: 0.209465 loss: 1.496311 eta: 2 days, 7:30:40 batch_cost: 4.1800 data_cost: 0.5473 ips: 30.6216 images/s [10/15 10:05:32] ppdet.engine INFO: Epoch: [48] [ 20/229] learning_rate: 0.375173 loss_vfl: 0.921538 loss_bbox: 0.359647 loss_dfl: 0.213344 loss: 1.497367 eta: 2 days, 7:29:33 batch_cost: 3.4773 data_cost: 0.0032 ips: 36.8098 images/s [10/15 10:06:41] ppdet.engine INFO: Epoch: [48] [ 40/229] learning_rate: 0.375085 loss_vfl: 0.918121 loss_bbox: 0.337598 loss_dfl: 0.204842 loss: 1.472478 eta: 2 days, 7:28:06 batch_cost: 3.2946 data_cost: 0.0023 ips: 38.8510 images/s [10/15 10:07:51] ppdet.engine INFO: Epoch: [48] [ 60/229] learning_rate: 0.374996 loss_vfl: 0.922960 loss_bbox: 0.368768 loss_dfl: 0.210311 loss: 1.498104 eta: 2 days, 7:26:45 batch_cost: 3.3477 data_cost: 0.0026 ips: 38.2347 images/s [10/15 10:09:01] ppdet.engine INFO: Epoch: [48] [ 80/229] learning_rate: 0.374908 loss_vfl: 0.921186 loss_bbox: 0.347337 loss_dfl: 0.202357 loss: 1.458366 eta: 2 days, 7:25:26 batch_cost: 3.3764 data_cost: 0.0025 ips: 37.9100 images/s [10/15 10:10:12] ppdet.engine INFO: Epoch: [48] [100/229] learning_rate: 0.374819 loss_vfl: 0.915762 loss_bbox: 0.372951 loss_dfl: 0.215946 loss: 1.503302 eta: 2 days, 7:24:08 batch_cost: 3.3764 data_cost: 0.0024 ips: 37.9107 images/s [10/15 10:11:22] ppdet.engine INFO: Epoch: [48] [120/229] learning_rate: 0.374730 loss_vfl: 0.917170 loss_bbox: 0.352518 loss_dfl: 0.207820 loss: 1.487961 eta: 2 days, 7:22:48 batch_cost: 3.3553 data_cost: 0.0023 ips: 38.1490 images/s [10/15 10:12:33] ppdet.engine INFO: Epoch: [48] [140/229] learning_rate: 0.374641 loss_vfl: 0.912153 loss_bbox: 0.358818 loss_dfl: 0.207712 loss: 1.481790 eta: 2 days, 7:21:34 batch_cost: 3.4221 data_cost: 0.0032 ips: 37.4036 images/s [10/15 10:13:44] ppdet.engine INFO: Epoch: [48] [160/229] learning_rate: 0.374552 loss_vfl: 0.924304 loss_bbox: 0.354148 loss_dfl: 0.208454 loss: 1.489761 eta: 2 days, 7:20:20 batch_cost: 3.4114 data_cost: 0.0025 ips: 37.5218 images/s [10/15 10:14:55] ppdet.engine INFO: Epoch: [48] [180/229] learning_rate: 0.374462 loss_vfl: 0.917416 loss_bbox: 0.353538 loss_dfl: 0.205055 loss: 1.468517 eta: 2 days, 7:19:05 batch_cost: 3.4060 data_cost: 0.0027 ips: 37.5811 images/s [10/15 10:16:06] ppdet.engine INFO: Epoch: [48] [200/229] learning_rate: 0.374373 loss_vfl: 0.907946 loss_bbox: 0.358583 loss_dfl: 0.215083 loss: 1.485130 eta: 2 days, 7:17:45 batch_cost: 3.3612 data_cost: 0.0026 ips: 38.0817 images/s [10/15 10:17:13] ppdet.engine INFO: Epoch: [48] [220/229] learning_rate: 0.374283 loss_vfl: 0.916930 loss_bbox: 0.365540 loss_dfl: 0.214949 loss: 1.488059 eta: 2 days, 7:16:10 batch_cost: 3.2078 data_cost: 0.0025 ips: 39.9030 images/s [10/15 10:18:06] ppdet.engine INFO: Epoch: [49] [ 0/229] learning_rate: 0.374243 loss_vfl: 0.914477 loss_bbox: 0.348868 loss_dfl: 0.218857 loss: 1.496766 eta: 2 days, 7:17:06 batch_cost: 4.1144 data_cost: 0.3810 ips: 31.1102 images/s [10/15 10:19:17] ppdet.engine INFO: Epoch: [49] [ 20/229] learning_rate: 0.374153 loss_vfl: 0.915085 loss_bbox: 0.350422 loss_dfl: 0.204502 loss: 1.477602 eta: 2 days, 7:15:52 batch_cost: 3.4123 data_cost: 0.0031 ips: 37.5116 images/s [10/15 10:20:28] ppdet.engine INFO: Epoch: [49] [ 40/229] learning_rate: 0.374063 loss_vfl: 0.912136 loss_bbox: 0.350827 loss_dfl: 0.210292 loss: 1.464468 eta: 2 days, 7:14:35 batch_cost: 3.3843 data_cost: 0.0025 ips: 37.8212 images/s [10/15 10:21:39] ppdet.engine INFO: Epoch: [49] [ 60/229] learning_rate: 0.373973 loss_vfl: 0.914497 loss_bbox: 0.364922 loss_dfl: 0.214125 loss: 1.488116 eta: 2 days, 7:13:17 batch_cost: 3.3804 data_cost: 0.0026 ips: 37.8654 images/s [10/15 10:22:49] ppdet.engine INFO: Epoch: [49] [ 80/229] learning_rate: 0.373882 loss_vfl: 0.917345 loss_bbox: 0.363641 loss_dfl: 0.211990 loss: 1.488697 eta: 2 days, 7:12:00 batch_cost: 3.3882 data_cost: 0.0023 ips: 37.7785 images/s [10/15 10:24:00] ppdet.engine INFO: Epoch: [49] [100/229] learning_rate: 0.373792 loss_vfl: 0.926573 loss_bbox: 0.367676 loss_dfl: 0.210405 loss: 1.496198 eta: 2 days, 7:10:44 batch_cost: 3.3940 data_cost: 0.0025 ips: 37.7139 images/s [10/15 10:25:11] ppdet.engine INFO: Epoch: [49] [120/229] learning_rate: 0.373701 loss_vfl: 0.903381 loss_bbox: 0.350476 loss_dfl: 0.206963 loss: 1.474706 eta: 2 days, 7:09:30 batch_cost: 3.4107 data_cost: 0.0025 ips: 37.5286 images/s [10/15 10:26:22] ppdet.engine INFO: Epoch: [49] [140/229] learning_rate: 0.373611 loss_vfl: 0.921358 loss_bbox: 0.362971 loss_dfl: 0.204529 loss: 1.476366 eta: 2 days, 7:08:13 batch_cost: 3.3875 data_cost: 0.0025 ips: 37.7857 images/s [10/15 10:27:35] ppdet.engine INFO: Epoch: [49] [160/229] learning_rate: 0.373520 loss_vfl: 0.935272 loss_bbox: 0.346480 loss_dfl: 0.205235 loss: 1.482218 eta: 2 days, 7:07:09 batch_cost: 3.5123 data_cost: 0.0024 ips: 36.4432 images/s [10/15 10:28:47] ppdet.engine INFO: Epoch: [49] [180/229] learning_rate: 0.373429 loss_vfl: 0.911395 loss_bbox: 0.366670 loss_dfl: 0.210821 loss: 1.479650 eta: 2 days, 7:05:58 batch_cost: 3.4424 data_cost: 0.0031 ips: 37.1834 images/s [10/15 10:29:56] ppdet.engine INFO: Epoch: [49] [200/229] learning_rate: 0.373338 loss_vfl: 0.919728 loss_bbox: 0.358508 loss_dfl: 0.213519 loss: 1.491275 eta: 2 days, 7:04:30 batch_cost: 3.2809 data_cost: 0.0026 ips: 39.0139 images/s [10/15 10:31:04] ppdet.engine INFO: Epoch: [49] [220/229] learning_rate: 0.373246 loss_vfl: 0.907776 loss_bbox: 0.357919 loss_dfl: 0.209785 loss: 1.469738 eta: 2 days, 7:03:02 batch_cost: 3.2667 data_cost: 0.0023 ips: 39.1830 images/s [10/15 10:31:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 10:31:35] ppdet.engine INFO: Eval iter: 0 [10/15 10:32:15] ppdet.engine INFO: Eval iter: 100 [10/15 10:32:38] ppdet.engine INFO: Eval iter: 200 [10/15 10:33:01] ppdet.engine INFO: Eval iter: 300 [10/15 10:33:25] ppdet.engine INFO: Eval iter: 400 [10/15 10:33:49] ppdet.engine INFO: Eval iter: 500 [10/15 10:34:14] ppdet.engine INFO: Eval iter: 600 [10/15 10:34:35] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.02s) creating index... index created! [10/15 10:34:37] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.28s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=94.26s). Accumulating evaluation results... DONE (t=17.02s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.236 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.369 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.241 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.067 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.229 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.412 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.232 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.366 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 ] = 0.120 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 ] = 0.653 [10/15 10:36:35] ppdet.engine INFO: Total sample number: 5000, averge FPS: 29.83906982518657 [10/15 10:36:35] ppdet.engine INFO: Best test bbox ap is 0.236. [10/15 10:36:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 10:36:38] ppdet.engine INFO: Epoch: [50] [ 0/229] learning_rate: 0.373205 loss_vfl: 0.908795 loss_bbox: 0.356763 loss_dfl: 0.201353 loss: 1.472616 eta: 2 days, 7:02:18 batch_cost: 3.1792 data_cost: 0.0023 ips: 40.2618 images/s [10/15 10:37:54] ppdet.engine INFO: Epoch: [50] [ 20/229] learning_rate: 0.373114 loss_vfl: 0.912315 loss_bbox: 0.356308 loss_dfl: 0.208235 loss: 1.472680 eta: 2 days, 7:01:25 batch_cost: 3.6243 data_cost: 0.0034 ips: 35.3175 images/s [10/15 10:39:06] ppdet.engine INFO: Epoch: [50] [ 40/229] learning_rate: 0.373022 loss_vfl: 0.900928 loss_bbox: 0.365912 loss_dfl: 0.213996 loss: 1.478601 eta: 2 days, 7:00:15 batch_cost: 3.4495 data_cost: 0.0025 ips: 37.1066 images/s [10/15 10:40:18] ppdet.engine INFO: Epoch: [50] [ 60/229] learning_rate: 0.372930 loss_vfl: 0.909884 loss_bbox: 0.361502 loss_dfl: 0.209022 loss: 1.492984 eta: 2 days, 6:59:07 batch_cost: 3.4743 data_cost: 0.0025 ips: 36.8419 images/s [10/15 10:41:30] ppdet.engine INFO: Epoch: [50] [ 80/229] learning_rate: 0.372838 loss_vfl: 0.910147 loss_bbox: 0.341561 loss_dfl: 0.200976 loss: 1.463815 eta: 2 days, 6:57:53 batch_cost: 3.4203 data_cost: 0.0030 ips: 37.4238 images/s [10/15 10:42:43] ppdet.engine INFO: Epoch: [50] [100/229] learning_rate: 0.372746 loss_vfl: 0.932473 loss_bbox: 0.349765 loss_dfl: 0.214290 loss: 1.489809 eta: 2 days, 6:56:48 batch_cost: 3.5046 data_cost: 0.0026 ips: 36.5237 images/s [10/15 10:43:56] ppdet.engine INFO: Epoch: [50] [120/229] learning_rate: 0.372654 loss_vfl: 0.911994 loss_bbox: 0.356830 loss_dfl: 0.207748 loss: 1.476263 eta: 2 days, 6:55:44 batch_cost: 3.5132 data_cost: 0.0025 ips: 36.4338 images/s [10/15 10:45:08] ppdet.engine INFO: Epoch: [50] [140/229] learning_rate: 0.372561 loss_vfl: 0.898280 loss_bbox: 0.362035 loss_dfl: 0.209282 loss: 1.477921 eta: 2 days, 6:54:33 batch_cost: 3.4362 data_cost: 0.0025 ips: 37.2509 images/s [10/15 10:46:18] ppdet.engine INFO: Epoch: [50] [160/229] learning_rate: 0.372469 loss_vfl: 0.916852 loss_bbox: 0.341492 loss_dfl: 0.208840 loss: 1.469388 eta: 2 days, 6:53:13 batch_cost: 3.3572 data_cost: 0.0025 ips: 38.1267 images/s [10/15 10:47:29] ppdet.engine INFO: Epoch: [50] [180/229] learning_rate: 0.372376 loss_vfl: 0.930680 loss_bbox: 0.352008 loss_dfl: 0.210946 loss: 1.478683 eta: 2 days, 6:52:01 batch_cost: 3.4307 data_cost: 0.0025 ips: 37.3106 images/s [10/15 10:48:40] ppdet.engine INFO: Epoch: [50] [200/229] learning_rate: 0.372283 loss_vfl: 0.919232 loss_bbox: 0.356253 loss_dfl: 0.208044 loss: 1.488250 eta: 2 days, 6:50:43 batch_cost: 3.3700 data_cost: 0.0036 ips: 37.9825 images/s [10/15 10:49:48] ppdet.engine INFO: Epoch: [50] [220/229] learning_rate: 0.372190 loss_vfl: 0.926847 loss_bbox: 0.354459 loss_dfl: 0.208408 loss: 1.499598 eta: 2 days, 6:49:16 batch_cost: 3.2863 data_cost: 0.0024 ips: 38.9499 images/s [10/15 10:50:43] ppdet.engine INFO: Epoch: [51] [ 0/229] learning_rate: 0.372148 loss_vfl: 0.926371 loss_bbox: 0.353032 loss_dfl: 0.210288 loss: 1.496243 eta: 2 days, 6:50:15 batch_cost: 4.1921 data_cost: 0.6504 ips: 30.5336 images/s [10/15 10:51:56] ppdet.engine INFO: Epoch: [51] [ 20/229] learning_rate: 0.372055 loss_vfl: 0.905832 loss_bbox: 0.356665 loss_dfl: 0.208872 loss: 1.462626 eta: 2 days, 6:49:11 batch_cost: 3.5120 data_cost: 0.0029 ips: 36.4468 images/s [10/15 10:53:10] ppdet.engine INFO: Epoch: [51] [ 40/229] learning_rate: 0.371962 loss_vfl: 0.902728 loss_bbox: 0.360584 loss_dfl: 0.213076 loss: 1.484974 eta: 2 days, 6:48:11 batch_cost: 3.5570 data_cost: 0.0026 ips: 35.9850 images/s [10/15 10:54:22] ppdet.engine INFO: Epoch: [51] [ 60/229] learning_rate: 0.371868 loss_vfl: 0.910076 loss_bbox: 0.347693 loss_dfl: 0.205797 loss: 1.466591 eta: 2 days, 6:47:01 batch_cost: 3.4622 data_cost: 0.0038 ips: 36.9702 images/s [10/15 10:55:34] ppdet.engine INFO: Epoch: [51] [ 80/229] learning_rate: 0.371775 loss_vfl: 0.913143 loss_bbox: 0.352981 loss_dfl: 0.205689 loss: 1.458292 eta: 2 days, 6:45:49 batch_cost: 3.4286 data_cost: 0.0024 ips: 37.3334 images/s [10/15 10:56:45] ppdet.engine INFO: Epoch: [51] [100/229] learning_rate: 0.371681 loss_vfl: 0.914497 loss_bbox: 0.347880 loss_dfl: 0.208186 loss: 1.481644 eta: 2 days, 6:44:37 batch_cost: 3.4351 data_cost: 0.0032 ips: 37.2620 images/s [10/15 10:57:58] ppdet.engine INFO: Epoch: [51] [120/229] learning_rate: 0.371587 loss_vfl: 0.904783 loss_bbox: 0.364115 loss_dfl: 0.212365 loss: 1.489895 eta: 2 days, 6:43:30 batch_cost: 3.4858 data_cost: 0.0040 ips: 36.7204 images/s [10/15 10:59:11] ppdet.engine INFO: Epoch: [51] [140/229] learning_rate: 0.371493 loss_vfl: 0.911387 loss_bbox: 0.357617 loss_dfl: 0.208819 loss: 1.463406 eta: 2 days, 6:42:21 batch_cost: 3.4703 data_cost: 0.0034 ips: 36.8841 images/s [10/15 11:00:21] ppdet.engine INFO: Epoch: [51] [160/229] learning_rate: 0.371399 loss_vfl: 0.914825 loss_bbox: 0.353454 loss_dfl: 0.212720 loss: 1.489611 eta: 2 days, 6:41:02 batch_cost: 3.3556 data_cost: 0.0025 ips: 38.1447 images/s [10/15 11:01:34] ppdet.engine INFO: Epoch: [51] [180/229] learning_rate: 0.371305 loss_vfl: 0.912228 loss_bbox: 0.343088 loss_dfl: 0.203498 loss: 1.468332 eta: 2 days, 6:39:55 batch_cost: 3.4901 data_cost: 0.0024 ips: 36.6750 images/s [10/15 11:02:44] ppdet.engine INFO: Epoch: [51] [200/229] learning_rate: 0.371210 loss_vfl: 0.919203 loss_bbox: 0.365548 loss_dfl: 0.212855 loss: 1.497372 eta: 2 days, 6:38:37 batch_cost: 3.3710 data_cost: 0.0033 ips: 37.9706 images/s [10/15 11:03:51] ppdet.engine INFO: Epoch: [51] [220/229] learning_rate: 0.371115 loss_vfl: 0.911808 loss_bbox: 0.370049 loss_dfl: 0.218544 loss: 1.511152 eta: 2 days, 6:37:05 batch_cost: 3.2154 data_cost: 0.0024 ips: 39.8082 images/s [10/15 11:04:47] ppdet.engine INFO: Epoch: [52] [ 0/229] learning_rate: 0.371073 loss_vfl: 0.932734 loss_bbox: 0.359954 loss_dfl: 0.217230 loss: 1.511745 eta: 2 days, 6:38:09 batch_cost: 4.3032 data_cost: 0.6496 ips: 29.7454 images/s [10/15 11:06:01] ppdet.engine INFO: Epoch: [52] [ 20/229] learning_rate: 0.370978 loss_vfl: 0.914325 loss_bbox: 0.359037 loss_dfl: 0.212400 loss: 1.474498 eta: 2 days, 6:37:06 batch_cost: 3.5245 data_cost: 0.0043 ips: 36.3168 images/s [10/15 11:07:14] ppdet.engine INFO: Epoch: [52] [ 40/229] learning_rate: 0.370883 loss_vfl: 0.916950 loss_bbox: 0.344455 loss_dfl: 0.206992 loss: 1.470731 eta: 2 days, 6:36:02 batch_cost: 3.5198 data_cost: 0.0032 ips: 36.3658 images/s [10/15 11:08:27] ppdet.engine INFO: Epoch: [52] [ 60/229] learning_rate: 0.370788 loss_vfl: 0.931983 loss_bbox: 0.347421 loss_dfl: 0.207929 loss: 1.488980 eta: 2 days, 6:34:58 batch_cost: 3.5198 data_cost: 0.0029 ips: 36.3657 images/s [10/15 11:09:38] ppdet.engine INFO: Epoch: [52] [ 80/229] learning_rate: 0.370693 loss_vfl: 0.901925 loss_bbox: 0.360602 loss_dfl: 0.212857 loss: 1.473837 eta: 2 days, 6:33:40 batch_cost: 3.3701 data_cost: 0.0027 ips: 37.9815 images/s [10/15 11:10:47] ppdet.engine INFO: Epoch: [52] [100/229] learning_rate: 0.370597 loss_vfl: 0.909679 loss_bbox: 0.354666 loss_dfl: 0.210640 loss: 1.461512 eta: 2 days, 6:32:17 batch_cost: 3.3174 data_cost: 0.0026 ips: 38.5850 images/s [10/15 11:11:59] ppdet.engine INFO: Epoch: [52] [120/229] learning_rate: 0.370502 loss_vfl: 0.913103 loss_bbox: 0.358289 loss_dfl: 0.212207 loss: 1.491717 eta: 2 days, 6:31:05 batch_cost: 3.4360 data_cost: 0.0025 ips: 37.2521 images/s [10/15 11:13:11] ppdet.engine INFO: Epoch: [52] [140/229] learning_rate: 0.370406 loss_vfl: 0.917237 loss_bbox: 0.361316 loss_dfl: 0.211399 loss: 1.491043 eta: 2 days, 6:29:56 batch_cost: 3.4695 data_cost: 0.0023 ips: 36.8932 images/s [10/15 11:14:22] ppdet.engine INFO: Epoch: [52] [160/229] learning_rate: 0.370310 loss_vfl: 0.916834 loss_bbox: 0.359998 loss_dfl: 0.211314 loss: 1.486868 eta: 2 days, 6:28:43 batch_cost: 3.4157 data_cost: 0.0031 ips: 37.4744 images/s [10/15 11:15:34] ppdet.engine INFO: Epoch: [52] [180/229] learning_rate: 0.370214 loss_vfl: 0.909001 loss_bbox: 0.356325 loss_dfl: 0.203664 loss: 1.487666 eta: 2 days, 6:27:29 batch_cost: 3.4128 data_cost: 0.0028 ips: 37.5056 images/s [10/15 11:16:46] ppdet.engine INFO: Epoch: [52] [200/229] learning_rate: 0.370118 loss_vfl: 0.914098 loss_bbox: 0.357792 loss_dfl: 0.209844 loss: 1.478136 eta: 2 days, 6:26:18 batch_cost: 3.4429 data_cost: 0.0032 ips: 37.1779 images/s [10/15 11:17:52] ppdet.engine INFO: Epoch: [52] [220/229] learning_rate: 0.370022 loss_vfl: 0.912566 loss_bbox: 0.361570 loss_dfl: 0.208260 loss: 1.481206 eta: 2 days, 6:24:42 batch_cost: 3.1824 data_cost: 0.0031 ips: 40.2216 images/s [10/15 11:18:43] ppdet.engine INFO: Epoch: [53] [ 0/229] learning_rate: 0.369979 loss_vfl: 0.919262 loss_bbox: 0.360718 loss_dfl: 0.208856 loss: 1.497249 eta: 2 days, 6:25:21 batch_cost: 3.9670 data_cost: 0.5068 ips: 32.2662 images/s [10/15 11:19:54] ppdet.engine INFO: Epoch: [53] [ 20/229] learning_rate: 0.369882 loss_vfl: 0.899000 loss_bbox: 0.349648 loss_dfl: 0.203657 loss: 1.457561 eta: 2 days, 6:24:05 batch_cost: 3.3939 data_cost: 0.0033 ips: 37.7152 images/s [10/15 11:21:06] ppdet.engine INFO: Epoch: [53] [ 40/229] learning_rate: 0.369785 loss_vfl: 0.910582 loss_bbox: 0.366857 loss_dfl: 0.215342 loss: 1.478311 eta: 2 days, 6:22:53 batch_cost: 3.4325 data_cost: 0.0029 ips: 37.2902 images/s [10/15 11:22:17] ppdet.engine INFO: Epoch: [53] [ 60/229] learning_rate: 0.369689 loss_vfl: 0.918091 loss_bbox: 0.344722 loss_dfl: 0.207793 loss: 1.466590 eta: 2 days, 6:21:42 batch_cost: 3.4428 data_cost: 0.0028 ips: 37.1786 images/s [10/15 11:23:28] ppdet.engine INFO: Epoch: [53] [ 80/229] learning_rate: 0.369592 loss_vfl: 0.912193 loss_bbox: 0.380140 loss_dfl: 0.216118 loss: 1.504914 eta: 2 days, 6:20:26 batch_cost: 3.3884 data_cost: 0.0024 ips: 37.7756 images/s [10/15 11:24:39] ppdet.engine INFO: Epoch: [53] [100/229] learning_rate: 0.369495 loss_vfl: 0.903531 loss_bbox: 0.360536 loss_dfl: 0.205776 loss: 1.480786 eta: 2 days, 6:19:13 batch_cost: 3.4215 data_cost: 0.0028 ips: 37.4109 images/s [10/15 11:25:52] ppdet.engine INFO: Epoch: [53] [120/229] learning_rate: 0.369398 loss_vfl: 0.902890 loss_bbox: 0.358708 loss_dfl: 0.205198 loss: 1.456974 eta: 2 days, 6:18:05 batch_cost: 3.4787 data_cost: 0.0029 ips: 36.7956 images/s [10/15 11:27:01] ppdet.engine INFO: Epoch: [53] [140/229] learning_rate: 0.369300 loss_vfl: 0.932066 loss_bbox: 0.354901 loss_dfl: 0.210794 loss: 1.507457 eta: 2 days, 6:16:43 batch_cost: 3.3250 data_cost: 0.0029 ips: 38.4965 images/s [10/15 11:28:12] ppdet.engine INFO: Epoch: [53] [160/229] learning_rate: 0.369203 loss_vfl: 0.922455 loss_bbox: 0.364566 loss_dfl: 0.210519 loss: 1.495296 eta: 2 days, 6:15:24 batch_cost: 3.3571 data_cost: 0.0024 ips: 38.1277 images/s [10/15 11:29:21] ppdet.engine INFO: Epoch: [53] [180/229] learning_rate: 0.369105 loss_vfl: 0.918466 loss_bbox: 0.364285 loss_dfl: 0.209681 loss: 1.491343 eta: 2 days, 6:14:02 batch_cost: 3.3239 data_cost: 0.0026 ips: 38.5087 images/s [10/15 11:30:29] ppdet.engine INFO: Epoch: [53] [200/229] learning_rate: 0.369008 loss_vfl: 0.903918 loss_bbox: 0.354248 loss_dfl: 0.205019 loss: 1.471251 eta: 2 days, 6:12:35 batch_cost: 3.2682 data_cost: 0.0024 ips: 39.1650 images/s [10/15 11:31:36] ppdet.engine INFO: Epoch: [53] [220/229] learning_rate: 0.368910 loss_vfl: 0.923043 loss_bbox: 0.355903 loss_dfl: 0.208093 loss: 1.485327 eta: 2 days, 6:11:00 batch_cost: 3.1773 data_cost: 0.0025 ips: 40.2856 images/s [10/15 11:32:27] ppdet.engine INFO: Epoch: [54] [ 0/229] learning_rate: 0.368866 loss_vfl: 0.920299 loss_bbox: 0.339233 loss_dfl: 0.199621 loss: 1.462598 eta: 2 days, 6:11:36 batch_cost: 3.9779 data_cost: 0.5530 ips: 32.1775 images/s [10/15 11:33:43] ppdet.engine INFO: Epoch: [54] [ 20/229] learning_rate: 0.368768 loss_vfl: 0.907369 loss_bbox: 0.356874 loss_dfl: 0.212099 loss: 1.479722 eta: 2 days, 6:10:39 batch_cost: 3.5954 data_cost: 0.0026 ips: 35.6006 images/s [10/15 11:34:55] ppdet.engine INFO: Epoch: [54] [ 40/229] learning_rate: 0.368669 loss_vfl: 0.892434 loss_bbox: 0.351825 loss_dfl: 0.209883 loss: 1.453214 eta: 2 days, 6:09:29 batch_cost: 3.4639 data_cost: 0.0025 ips: 36.9530 images/s [10/15 11:36:05] ppdet.engine INFO: Epoch: [54] [ 60/229] learning_rate: 0.368571 loss_vfl: 0.895046 loss_bbox: 0.355210 loss_dfl: 0.212140 loss: 1.458182 eta: 2 days, 6:08:07 batch_cost: 3.3201 data_cost: 0.0026 ips: 38.5532 images/s [10/15 11:37:14] ppdet.engine INFO: Epoch: [54] [ 80/229] learning_rate: 0.368472 loss_vfl: 0.911513 loss_bbox: 0.366005 loss_dfl: 0.215034 loss: 1.486369 eta: 2 days, 6:06:47 batch_cost: 3.3389 data_cost: 0.0025 ips: 38.3364 images/s [10/15 11:38:25] ppdet.engine INFO: Epoch: [54] [100/229] learning_rate: 0.368374 loss_vfl: 0.898550 loss_bbox: 0.379369 loss_dfl: 0.216939 loss: 1.507697 eta: 2 days, 6:05:29 batch_cost: 3.3724 data_cost: 0.0025 ips: 37.9556 images/s [10/15 11:39:35] ppdet.engine INFO: Epoch: [54] [120/229] learning_rate: 0.368275 loss_vfl: 0.918329 loss_bbox: 0.368264 loss_dfl: 0.212478 loss: 1.481935 eta: 2 days, 6:04:13 batch_cost: 3.3855 data_cost: 0.0026 ips: 37.8086 images/s [10/15 11:40:47] ppdet.engine INFO: Epoch: [54] [140/229] learning_rate: 0.368176 loss_vfl: 0.911542 loss_bbox: 0.361999 loss_dfl: 0.211908 loss: 1.476729 eta: 2 days, 6:03:03 batch_cost: 3.4575 data_cost: 0.0025 ips: 37.0211 images/s [10/15 11:42:00] ppdet.engine INFO: Epoch: [54] [160/229] learning_rate: 0.368077 loss_vfl: 0.915813 loss_bbox: 0.361632 loss_dfl: 0.215675 loss: 1.497972 eta: 2 days, 6:01:53 batch_cost: 3.4554 data_cost: 0.0025 ips: 37.0430 images/s [10/15 11:43:10] ppdet.engine INFO: Epoch: [54] [180/229] learning_rate: 0.367978 loss_vfl: 0.929112 loss_bbox: 0.343212 loss_dfl: 0.207703 loss: 1.475030 eta: 2 days, 6:00:36 batch_cost: 3.3748 data_cost: 0.0024 ips: 37.9280 images/s [10/15 11:44:20] ppdet.engine INFO: Epoch: [54] [200/229] learning_rate: 0.367878 loss_vfl: 0.925202 loss_bbox: 0.347598 loss_dfl: 0.205263 loss: 1.484361 eta: 2 days, 5:59:14 batch_cost: 3.3195 data_cost: 0.0025 ips: 38.5596 images/s [10/15 11:45:27] ppdet.engine INFO: Epoch: [54] [220/229] learning_rate: 0.367779 loss_vfl: 0.934121 loss_bbox: 0.366882 loss_dfl: 0.214797 loss: 1.504546 eta: 2 days, 5:57:45 batch_cost: 3.2351 data_cost: 0.0024 ips: 39.5655 images/s [10/15 11:46:22] ppdet.engine INFO: Epoch: [55] [ 0/229] learning_rate: 0.367734 loss_vfl: 0.931135 loss_bbox: 0.363334 loss_dfl: 0.214864 loss: 1.514660 eta: 2 days, 5:58:35 batch_cost: 4.1444 data_cost: 0.7301 ips: 30.8852 images/s [10/15 11:47:34] ppdet.engine INFO: Epoch: [55] [ 20/229] learning_rate: 0.367634 loss_vfl: 0.905820 loss_bbox: 0.349915 loss_dfl: 0.205821 loss: 1.465278 eta: 2 days, 5:57:28 batch_cost: 3.4816 data_cost: 0.0025 ips: 36.7651 images/s [10/15 11:48:45] ppdet.engine INFO: Epoch: [55] [ 40/229] learning_rate: 0.367535 loss_vfl: 0.917613 loss_bbox: 0.356479 loss_dfl: 0.206328 loss: 1.481117 eta: 2 days, 5:56:11 batch_cost: 3.3751 data_cost: 0.0024 ips: 37.9248 images/s [10/15 11:49:57] ppdet.engine INFO: Epoch: [55] [ 60/229] learning_rate: 0.367435 loss_vfl: 0.911812 loss_bbox: 0.358050 loss_dfl: 0.210628 loss: 1.485052 eta: 2 days, 5:55:00 batch_cost: 3.4459 data_cost: 0.0031 ips: 37.1460 images/s [10/15 11:51:07] ppdet.engine INFO: Epoch: [55] [ 80/229] learning_rate: 0.367334 loss_vfl: 0.895953 loss_bbox: 0.361193 loss_dfl: 0.211077 loss: 1.471657 eta: 2 days, 5:53:43 batch_cost: 3.3763 data_cost: 0.0024 ips: 37.9117 images/s [10/15 11:52:18] ppdet.engine INFO: Epoch: [55] [100/229] learning_rate: 0.367234 loss_vfl: 0.927447 loss_bbox: 0.354410 loss_dfl: 0.209693 loss: 1.499879 eta: 2 days, 5:52:28 batch_cost: 3.4030 data_cost: 0.0023 ips: 37.6136 images/s [10/15 11:53:27] ppdet.engine INFO: Epoch: [55] [120/229] learning_rate: 0.367134 loss_vfl: 0.920000 loss_bbox: 0.348999 loss_dfl: 0.214726 loss: 1.495015 eta: 2 days, 5:51:06 batch_cost: 3.3118 data_cost: 0.0024 ips: 38.6496 images/s [10/15 11:54:38] ppdet.engine INFO: Epoch: [55] [140/229] learning_rate: 0.367033 loss_vfl: 0.904517 loss_bbox: 0.341337 loss_dfl: 0.203435 loss: 1.462486 eta: 2 days, 5:49:48 batch_cost: 3.3627 data_cost: 0.0024 ips: 38.0644 images/s [10/15 11:55:48] ppdet.engine INFO: Epoch: [55] [160/229] learning_rate: 0.366933 loss_vfl: 0.924157 loss_bbox: 0.355936 loss_dfl: 0.206904 loss: 1.502535 eta: 2 days, 5:48:29 batch_cost: 3.3523 data_cost: 0.0025 ips: 38.1829 images/s [10/15 11:56:57] ppdet.engine INFO: Epoch: [55] [180/229] learning_rate: 0.366832 loss_vfl: 0.925607 loss_bbox: 0.372123 loss_dfl: 0.215442 loss: 1.497131 eta: 2 days, 5:47:06 batch_cost: 3.3131 data_cost: 0.0024 ips: 38.6344 images/s [10/15 11:58:08] ppdet.engine INFO: Epoch: [55] [200/229] learning_rate: 0.366731 loss_vfl: 0.911340 loss_bbox: 0.376686 loss_dfl: 0.218970 loss: 1.516977 eta: 2 days, 5:45:52 batch_cost: 3.4063 data_cost: 0.0025 ips: 37.5778 images/s [10/15 11:59:15] ppdet.engine INFO: Epoch: [55] [220/229] learning_rate: 0.366630 loss_vfl: 0.919789 loss_bbox: 0.357563 loss_dfl: 0.211816 loss: 1.491285 eta: 2 days, 5:44:21 batch_cost: 3.2080 data_cost: 0.0023 ips: 39.9001 images/s [10/15 12:00:09] ppdet.engine INFO: Epoch: [56] [ 0/229] learning_rate: 0.366584 loss_vfl: 0.905534 loss_bbox: 0.365762 loss_dfl: 0.212497 loss: 1.478868 eta: 2 days, 5:45:07 batch_cost: 4.1350 data_cost: 0.5753 ips: 30.9556 images/s [10/15 12:01:22] ppdet.engine INFO: Epoch: [56] [ 20/229] learning_rate: 0.366483 loss_vfl: 0.901965 loss_bbox: 0.347358 loss_dfl: 0.200244 loss: 1.457148 eta: 2 days, 5:44:00 batch_cost: 3.4856 data_cost: 0.0033 ips: 36.7227 images/s [10/15 12:02:33] ppdet.engine INFO: Epoch: [56] [ 40/229] learning_rate: 0.366382 loss_vfl: 0.898062 loss_bbox: 0.357699 loss_dfl: 0.208047 loss: 1.461295 eta: 2 days, 5:42:46 batch_cost: 3.4041 data_cost: 0.0028 ips: 37.6012 images/s [10/15 12:03:44] ppdet.engine INFO: Epoch: [56] [ 60/229] learning_rate: 0.366280 loss_vfl: 0.912757 loss_bbox: 0.344761 loss_dfl: 0.204534 loss: 1.462711 eta: 2 days, 5:41:32 batch_cost: 3.4140 data_cost: 0.0027 ips: 37.4924 images/s [10/15 12:04:54] ppdet.engine INFO: Epoch: [56] [ 80/229] learning_rate: 0.366178 loss_vfl: 0.903563 loss_bbox: 0.360975 loss_dfl: 0.210134 loss: 1.483134 eta: 2 days, 5:40:14 batch_cost: 3.3668 data_cost: 0.0027 ips: 38.0178 images/s [10/15 12:06:06] ppdet.engine INFO: Epoch: [56] [100/229] learning_rate: 0.366076 loss_vfl: 0.920827 loss_bbox: 0.342506 loss_dfl: 0.206206 loss: 1.475460 eta: 2 days, 5:39:03 batch_cost: 3.4332 data_cost: 0.0026 ips: 37.2832 images/s [10/15 12:07:18] ppdet.engine INFO: Epoch: [56] [120/229] learning_rate: 0.365974 loss_vfl: 0.890167 loss_bbox: 0.358900 loss_dfl: 0.210963 loss: 1.462088 eta: 2 days, 5:37:53 batch_cost: 3.4601 data_cost: 0.0026 ips: 36.9934 images/s [10/15 12:08:30] ppdet.engine INFO: Epoch: [56] [140/229] learning_rate: 0.365872 loss_vfl: 0.924550 loss_bbox: 0.355377 loss_dfl: 0.207156 loss: 1.481706 eta: 2 days, 5:36:43 batch_cost: 3.4482 data_cost: 0.0025 ips: 37.1213 images/s [10/15 12:09:40] ppdet.engine INFO: Epoch: [56] [160/229] learning_rate: 0.365770 loss_vfl: 0.917601 loss_bbox: 0.355400 loss_dfl: 0.209172 loss: 1.472749 eta: 2 days, 5:35:24 batch_cost: 3.3510 data_cost: 0.0024 ips: 38.1976 images/s [10/15 12:10:51] ppdet.engine INFO: Epoch: [56] [180/229] learning_rate: 0.365668 loss_vfl: 0.902794 loss_bbox: 0.377064 loss_dfl: 0.216648 loss: 1.499497 eta: 2 days, 5:34:09 batch_cost: 3.4016 data_cost: 0.0026 ips: 37.6294 images/s [10/15 12:12:02] ppdet.engine INFO: Epoch: [56] [200/229] learning_rate: 0.365565 loss_vfl: 0.917605 loss_bbox: 0.354967 loss_dfl: 0.211933 loss: 1.478332 eta: 2 days, 5:32:55 batch_cost: 3.4027 data_cost: 0.0026 ips: 37.6172 images/s [10/15 12:13:10] ppdet.engine INFO: Epoch: [56] [220/229] learning_rate: 0.365462 loss_vfl: 0.923845 loss_bbox: 0.355796 loss_dfl: 0.210934 loss: 1.494138 eta: 2 days, 5:31:27 batch_cost: 3.2443 data_cost: 0.0024 ips: 39.4542 images/s [10/15 12:14:04] ppdet.engine INFO: Epoch: [57] [ 0/229] learning_rate: 0.365416 loss_vfl: 0.914558 loss_bbox: 0.345863 loss_dfl: 0.207285 loss: 1.472805 eta: 2 days, 5:32:12 batch_cost: 4.1413 data_cost: 0.4895 ips: 30.9083 images/s [10/15 12:15:14] ppdet.engine INFO: Epoch: [57] [ 20/229] learning_rate: 0.365313 loss_vfl: 0.903800 loss_bbox: 0.352681 loss_dfl: 0.205247 loss: 1.462875 eta: 2 days, 5:30:55 batch_cost: 3.3710 data_cost: 0.0027 ips: 37.9712 images/s [10/15 12:16:25] ppdet.engine INFO: Epoch: [57] [ 40/229] learning_rate: 0.365210 loss_vfl: 0.901563 loss_bbox: 0.358157 loss_dfl: 0.212447 loss: 1.460789 eta: 2 days, 5:29:39 batch_cost: 3.3863 data_cost: 0.0026 ips: 37.7988 images/s [10/15 12:17:35] ppdet.engine INFO: Epoch: [57] [ 60/229] learning_rate: 0.365107 loss_vfl: 0.922351 loss_bbox: 0.359159 loss_dfl: 0.215708 loss: 1.509200 eta: 2 days, 5:28:23 batch_cost: 3.3788 data_cost: 0.0025 ips: 37.8834 images/s [10/15 12:18:46] ppdet.engine INFO: Epoch: [57] [ 80/229] learning_rate: 0.365004 loss_vfl: 0.914690 loss_bbox: 0.356490 loss_dfl: 0.207892 loss: 1.472950 eta: 2 days, 5:27:06 batch_cost: 3.3697 data_cost: 0.0030 ips: 37.9857 images/s [10/15 12:19:56] ppdet.engine INFO: Epoch: [57] [100/229] learning_rate: 0.364900 loss_vfl: 0.905470 loss_bbox: 0.355554 loss_dfl: 0.213338 loss: 1.465333 eta: 2 days, 5:25:50 batch_cost: 3.3825 data_cost: 0.0025 ips: 37.8418 images/s [10/15 12:21:06] ppdet.engine INFO: Epoch: [57] [120/229] learning_rate: 0.364797 loss_vfl: 0.904891 loss_bbox: 0.346566 loss_dfl: 0.204051 loss: 1.470715 eta: 2 days, 5:24:32 batch_cost: 3.3653 data_cost: 0.0026 ips: 38.0356 images/s [10/15 12:22:17] ppdet.engine INFO: Epoch: [57] [140/229] learning_rate: 0.364693 loss_vfl: 0.915317 loss_bbox: 0.340399 loss_dfl: 0.208732 loss: 1.462184 eta: 2 days, 5:23:16 batch_cost: 3.3787 data_cost: 0.0023 ips: 37.8843 images/s [10/15 12:23:27] ppdet.engine INFO: Epoch: [57] [160/229] learning_rate: 0.364589 loss_vfl: 0.926473 loss_bbox: 0.338179 loss_dfl: 0.202089 loss: 1.488446 eta: 2 days, 5:21:58 batch_cost: 3.3534 data_cost: 0.0024 ips: 38.1698 images/s [10/15 12:24:36] ppdet.engine INFO: Epoch: [57] [180/229] learning_rate: 0.364485 loss_vfl: 0.910096 loss_bbox: 0.344954 loss_dfl: 0.206150 loss: 1.456103 eta: 2 days, 5:20:35 batch_cost: 3.2993 data_cost: 0.0024 ips: 38.7960 images/s [10/15 12:25:47] ppdet.engine INFO: Epoch: [57] [200/229] learning_rate: 0.364381 loss_vfl: 0.908496 loss_bbox: 0.351539 loss_dfl: 0.207697 loss: 1.462184 eta: 2 days, 5:19:19 batch_cost: 3.3868 data_cost: 0.0024 ips: 37.7937 images/s [10/15 12:26:54] ppdet.engine INFO: Epoch: [57] [220/229] learning_rate: 0.364277 loss_vfl: 0.905985 loss_bbox: 0.368539 loss_dfl: 0.204741 loss: 1.449903 eta: 2 days, 5:17:49 batch_cost: 3.2160 data_cost: 0.0024 ips: 39.8013 images/s [10/15 12:27:43] ppdet.engine INFO: Epoch: [58] [ 0/229] learning_rate: 0.364230 loss_vfl: 0.916052 loss_bbox: 0.343594 loss_dfl: 0.205197 loss: 1.464998 eta: 2 days, 5:18:12 batch_cost: 3.8568 data_cost: 0.5269 ips: 33.1877 images/s [10/15 12:28:58] ppdet.engine INFO: Epoch: [58] [ 20/229] learning_rate: 0.364125 loss_vfl: 0.913625 loss_bbox: 0.346619 loss_dfl: 0.206448 loss: 1.471387 eta: 2 days, 5:17:05 batch_cost: 3.4894 data_cost: 0.0024 ips: 36.6830 images/s [10/15 12:30:08] ppdet.engine INFO: Epoch: [58] [ 40/229] learning_rate: 0.364021 loss_vfl: 0.903321 loss_bbox: 0.366639 loss_dfl: 0.213438 loss: 1.499406 eta: 2 days, 5:15:50 batch_cost: 3.3966 data_cost: 0.0024 ips: 37.6849 images/s [10/15 12:31:19] ppdet.engine INFO: Epoch: [58] [ 60/229] learning_rate: 0.363916 loss_vfl: 0.914366 loss_bbox: 0.337104 loss_dfl: 0.197694 loss: 1.440429 eta: 2 days, 5:14:33 batch_cost: 3.3751 data_cost: 0.0025 ips: 37.9252 images/s [10/15 12:32:30] ppdet.engine INFO: Epoch: [58] [ 80/229] learning_rate: 0.363811 loss_vfl: 0.904844 loss_bbox: 0.361148 loss_dfl: 0.212224 loss: 1.487961 eta: 2 days, 5:13:21 batch_cost: 3.4296 data_cost: 0.0024 ips: 37.3221 images/s [10/15 12:33:41] ppdet.engine INFO: Epoch: [58] [100/229] learning_rate: 0.363706 loss_vfl: 0.905070 loss_bbox: 0.348482 loss_dfl: 0.205485 loss: 1.463828 eta: 2 days, 5:12:06 batch_cost: 3.3908 data_cost: 0.0025 ips: 37.7490 images/s [10/15 12:34:52] ppdet.engine INFO: Epoch: [58] [120/229] learning_rate: 0.363601 loss_vfl: 0.909902 loss_bbox: 0.353763 loss_dfl: 0.209083 loss: 1.474079 eta: 2 days, 5:10:50 batch_cost: 3.3777 data_cost: 0.0025 ips: 37.8954 images/s [10/15 12:36:03] ppdet.engine INFO: Epoch: [58] [140/229] learning_rate: 0.363496 loss_vfl: 0.908648 loss_bbox: 0.365440 loss_dfl: 0.215054 loss: 1.488947 eta: 2 days, 5:09:35 batch_cost: 3.3865 data_cost: 0.0024 ips: 37.7971 images/s [10/15 12:37:11] ppdet.engine INFO: Epoch: [58] [160/229] learning_rate: 0.363390 loss_vfl: 0.914341 loss_bbox: 0.362238 loss_dfl: 0.211476 loss: 1.490684 eta: 2 days, 5:08:12 batch_cost: 3.2975 data_cost: 0.0024 ips: 38.8178 images/s [10/15 12:38:22] ppdet.engine INFO: Epoch: [58] [180/229] learning_rate: 0.363285 loss_vfl: 0.903824 loss_bbox: 0.342621 loss_dfl: 0.205235 loss: 1.447394 eta: 2 days, 5:06:58 batch_cost: 3.4029 data_cost: 0.0024 ips: 37.6150 images/s [10/15 12:39:34] ppdet.engine INFO: Epoch: [58] [200/229] learning_rate: 0.363179 loss_vfl: 0.919773 loss_bbox: 0.367612 loss_dfl: 0.215493 loss: 1.494445 eta: 2 days, 5:05:45 batch_cost: 3.4131 data_cost: 0.0024 ips: 37.5026 images/s [10/15 12:40:42] ppdet.engine INFO: Epoch: [58] [220/229] learning_rate: 0.363073 loss_vfl: 0.913389 loss_bbox: 0.351448 loss_dfl: 0.208963 loss: 1.468308 eta: 2 days, 5:04:18 batch_cost: 3.2522 data_cost: 0.0024 ips: 39.3576 images/s [10/15 12:41:28] ppdet.engine INFO: Epoch: [59] [ 0/229] learning_rate: 0.363026 loss_vfl: 0.915320 loss_bbox: 0.352511 loss_dfl: 0.208243 loss: 1.467007 eta: 2 days, 5:04:30 batch_cost: 3.8170 data_cost: 0.2844 ips: 33.5342 images/s [10/15 12:42:42] ppdet.engine INFO: Epoch: [59] [ 20/229] learning_rate: 0.362920 loss_vfl: 0.903195 loss_bbox: 0.366987 loss_dfl: 0.214431 loss: 1.471326 eta: 2 days, 5:03:25 batch_cost: 3.5055 data_cost: 0.0025 ips: 36.5137 images/s [10/15 12:43:52] ppdet.engine INFO: Epoch: [59] [ 40/229] learning_rate: 0.362813 loss_vfl: 0.916260 loss_bbox: 0.341948 loss_dfl: 0.204791 loss: 1.467807 eta: 2 days, 5:02:08 batch_cost: 3.3663 data_cost: 0.0024 ips: 38.0244 images/s [10/15 12:45:02] ppdet.engine INFO: Epoch: [59] [ 60/229] learning_rate: 0.362707 loss_vfl: 0.899048 loss_bbox: 0.342470 loss_dfl: 0.207433 loss: 1.464830 eta: 2 days, 5:00:49 batch_cost: 3.3469 data_cost: 0.0026 ips: 38.2438 images/s [10/15 12:46:13] ppdet.engine INFO: Epoch: [59] [ 80/229] learning_rate: 0.362601 loss_vfl: 0.915720 loss_bbox: 0.358239 loss_dfl: 0.212903 loss: 1.473555 eta: 2 days, 4:59:36 batch_cost: 3.4182 data_cost: 0.0025 ips: 37.4465 images/s [10/15 12:47:24] ppdet.engine INFO: Epoch: [59] [100/229] learning_rate: 0.362494 loss_vfl: 0.909237 loss_bbox: 0.354087 loss_dfl: 0.211353 loss: 1.482736 eta: 2 days, 4:58:21 batch_cost: 3.3838 data_cost: 0.0025 ips: 37.8271 images/s [10/15 12:48:34] ppdet.engine INFO: Epoch: [59] [120/229] learning_rate: 0.362387 loss_vfl: 0.899374 loss_bbox: 0.367558 loss_dfl: 0.204343 loss: 1.468789 eta: 2 days, 4:57:01 batch_cost: 3.3356 data_cost: 0.0024 ips: 38.3740 images/s [10/15 12:49:43] ppdet.engine INFO: Epoch: [59] [140/229] learning_rate: 0.362281 loss_vfl: 0.900799 loss_bbox: 0.345656 loss_dfl: 0.205156 loss: 1.472405 eta: 2 days, 4:55:39 batch_cost: 3.3015 data_cost: 0.0024 ips: 38.7708 images/s [10/15 12:50:53] ppdet.engine INFO: Epoch: [59] [160/229] learning_rate: 0.362174 loss_vfl: 0.914027 loss_bbox: 0.356560 loss_dfl: 0.211024 loss: 1.481260 eta: 2 days, 4:54:20 batch_cost: 3.3334 data_cost: 0.0024 ips: 38.3996 images/s [10/15 12:52:03] ppdet.engine INFO: Epoch: [59] [180/229] learning_rate: 0.362066 loss_vfl: 0.903770 loss_bbox: 0.334621 loss_dfl: 0.203062 loss: 1.450741 eta: 2 days, 4:53:04 batch_cost: 3.3865 data_cost: 0.0024 ips: 37.7974 images/s [10/15 12:53:14] ppdet.engine INFO: Epoch: [59] [200/229] learning_rate: 0.361959 loss_vfl: 0.913310 loss_bbox: 0.351724 loss_dfl: 0.207832 loss: 1.478331 eta: 2 days, 4:51:50 batch_cost: 3.3981 data_cost: 0.0025 ips: 37.6682 images/s [10/15 12:54:20] ppdet.engine INFO: Epoch: [59] [220/229] learning_rate: 0.361852 loss_vfl: 0.910241 loss_bbox: 0.352136 loss_dfl: 0.206317 loss: 1.473689 eta: 2 days, 4:50:16 batch_cost: 3.1496 data_cost: 0.0023 ips: 40.6397 images/s [10/15 12:54:48] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 12:54:49] ppdet.engine INFO: Eval iter: 0 [10/15 12:55:29] ppdet.engine INFO: Eval iter: 100 [10/15 12:55:52] ppdet.engine INFO: Eval iter: 200 [10/15 12:56:14] ppdet.engine INFO: Eval iter: 300 [10/15 12:56:37] ppdet.engine INFO: Eval iter: 400 [10/15 12:57:01] ppdet.engine INFO: Eval iter: 500 [10/15 12:57:23] ppdet.engine INFO: Eval iter: 600 [10/15 12:57:45] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.92s) creating index... index created! [10/15 12:57:46] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.76s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=95.55s). Accumulating evaluation results... DONE (t=17.00s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.241 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.375 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.249 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.067 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 ] = 0.419 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 ] = 0.371 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.395 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.120 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 ] = 0.657 [10/15 12:59:45] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.640647336273137 [10/15 12:59:45] ppdet.engine INFO: Best test bbox ap is 0.241. [10/15 12:59:45] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 12:59:48] ppdet.engine INFO: Epoch: [60] [ 0/229] learning_rate: 0.361803 loss_vfl: 0.899601 loss_bbox: 0.351293 loss_dfl: 0.202914 loss: 1.459092 eta: 2 days, 4:49:23 batch_cost: 2.9059 data_cost: 0.0024 ips: 44.0477 images/s [10/15 13:01:02] ppdet.engine INFO: Epoch: [60] [ 20/229] learning_rate: 0.361696 loss_vfl: 0.914775 loss_bbox: 0.350566 loss_dfl: 0.206626 loss: 1.469877 eta: 2 days, 4:48:21 batch_cost: 3.5518 data_cost: 0.0027 ips: 36.0378 images/s [10/15 13:02:15] ppdet.engine INFO: Epoch: [60] [ 40/229] learning_rate: 0.361588 loss_vfl: 0.906129 loss_bbox: 0.354640 loss_dfl: 0.206639 loss: 1.461339 eta: 2 days, 4:47:16 batch_cost: 3.5143 data_cost: 0.0031 ips: 36.4221 images/s [10/15 13:03:28] ppdet.engine INFO: Epoch: [60] [ 60/229] learning_rate: 0.361480 loss_vfl: 0.902099 loss_bbox: 0.354734 loss_dfl: 0.210059 loss: 1.460266 eta: 2 days, 4:46:07 batch_cost: 3.4615 data_cost: 0.0030 ips: 36.9783 images/s [10/15 13:04:40] ppdet.engine INFO: Epoch: [60] [ 80/229] learning_rate: 0.361372 loss_vfl: 0.925013 loss_bbox: 0.348858 loss_dfl: 0.202990 loss: 1.464412 eta: 2 days, 4:44:59 batch_cost: 3.4785 data_cost: 0.0056 ips: 36.7973 images/s [10/15 13:05:52] ppdet.engine INFO: Epoch: [60] [100/229] learning_rate: 0.361264 loss_vfl: 0.914948 loss_bbox: 0.337502 loss_dfl: 0.199212 loss: 1.454168 eta: 2 days, 4:43:49 batch_cost: 3.4450 data_cost: 0.0025 ips: 37.1548 images/s [10/15 13:07:01] ppdet.engine INFO: Epoch: [60] [120/229] learning_rate: 0.361156 loss_vfl: 0.913688 loss_bbox: 0.343264 loss_dfl: 0.204245 loss: 1.461277 eta: 2 days, 4:42:29 batch_cost: 3.3200 data_cost: 0.0025 ips: 38.5546 images/s [10/15 13:08:12] ppdet.engine INFO: Epoch: [60] [140/229] learning_rate: 0.361047 loss_vfl: 0.900799 loss_bbox: 0.357113 loss_dfl: 0.207997 loss: 1.460634 eta: 2 days, 4:41:11 batch_cost: 3.3591 data_cost: 0.0035 ips: 38.1058 images/s [10/15 13:09:23] ppdet.engine INFO: Epoch: [60] [160/229] learning_rate: 0.360939 loss_vfl: 0.917606 loss_bbox: 0.361474 loss_dfl: 0.211717 loss: 1.496172 eta: 2 days, 4:40:01 batch_cost: 3.4487 data_cost: 0.0023 ips: 37.1154 images/s [10/15 13:10:36] ppdet.engine INFO: Epoch: [60] [180/229] learning_rate: 0.360830 loss_vfl: 0.917134 loss_bbox: 0.349704 loss_dfl: 0.207169 loss: 1.477905 eta: 2 days, 4:38:54 batch_cost: 3.4874 data_cost: 0.0023 ips: 36.7040 images/s [10/15 13:11:47] ppdet.engine INFO: Epoch: [60] [200/229] learning_rate: 0.360721 loss_vfl: 0.924294 loss_bbox: 0.344791 loss_dfl: 0.206418 loss: 1.465229 eta: 2 days, 4:37:39 batch_cost: 3.3824 data_cost: 0.0025 ips: 37.8428 images/s [10/15 13:12:52] ppdet.engine INFO: Epoch: [60] [220/229] learning_rate: 0.360613 loss_vfl: 0.906581 loss_bbox: 0.363938 loss_dfl: 0.215140 loss: 1.487696 eta: 2 days, 4:36:05 batch_cost: 3.1392 data_cost: 0.0024 ips: 40.7751 images/s [10/15 13:13:48] ppdet.engine INFO: Epoch: [61] [ 0/229] learning_rate: 0.360563 loss_vfl: 0.906898 loss_bbox: 0.359296 loss_dfl: 0.207853 loss: 1.472968 eta: 2 days, 4:36:50 batch_cost: 4.2153 data_cost: 0.8634 ips: 30.3655 images/s [10/15 13:15:00] ppdet.engine INFO: Epoch: [61] [ 20/229] learning_rate: 0.360454 loss_vfl: 0.893472 loss_bbox: 0.355319 loss_dfl: 0.205694 loss: 1.453769 eta: 2 days, 4:35:40 batch_cost: 3.4541 data_cost: 0.0034 ips: 37.0569 images/s [10/15 13:16:08] ppdet.engine INFO: Epoch: [61] [ 40/229] learning_rate: 0.360345 loss_vfl: 0.898025 loss_bbox: 0.357864 loss_dfl: 0.214994 loss: 1.479155 eta: 2 days, 4:34:17 batch_cost: 3.2906 data_cost: 0.0038 ips: 38.8982 images/s [10/15 13:17:21] ppdet.engine INFO: Epoch: [61] [ 60/229] learning_rate: 0.360236 loss_vfl: 0.897823 loss_bbox: 0.347645 loss_dfl: 0.205672 loss: 1.448971 eta: 2 days, 4:33:10 batch_cost: 3.4850 data_cost: 0.0026 ips: 36.7291 images/s [10/15 13:18:32] ppdet.engine INFO: Epoch: [61] [ 80/229] learning_rate: 0.360126 loss_vfl: 0.910036 loss_bbox: 0.360382 loss_dfl: 0.209926 loss: 1.480961 eta: 2 days, 4:31:56 batch_cost: 3.3962 data_cost: 0.0026 ips: 37.6891 images/s [10/15 13:19:44] ppdet.engine INFO: Epoch: [61] [100/229] learning_rate: 0.360017 loss_vfl: 0.894187 loss_bbox: 0.352234 loss_dfl: 0.206444 loss: 1.457786 eta: 2 days, 4:30:46 batch_cost: 3.4554 data_cost: 0.0026 ips: 37.0438 images/s [10/15 13:20:57] ppdet.engine INFO: Epoch: [61] [120/229] learning_rate: 0.359907 loss_vfl: 0.918955 loss_bbox: 0.351625 loss_dfl: 0.210071 loss: 1.486317 eta: 2 days, 4:29:38 batch_cost: 3.4800 data_cost: 0.0024 ips: 36.7818 images/s [10/15 13:22:09] ppdet.engine INFO: Epoch: [61] [140/229] learning_rate: 0.359797 loss_vfl: 0.910029 loss_bbox: 0.347409 loss_dfl: 0.203196 loss: 1.458260 eta: 2 days, 4:28:31 batch_cost: 3.4826 data_cost: 0.0024 ips: 36.7540 images/s [10/15 13:23:21] ppdet.engine INFO: Epoch: [61] [160/229] learning_rate: 0.359687 loss_vfl: 0.910353 loss_bbox: 0.356618 loss_dfl: 0.207616 loss: 1.479403 eta: 2 days, 4:27:19 batch_cost: 3.4192 data_cost: 0.0025 ips: 37.4351 images/s [10/15 13:24:32] ppdet.engine INFO: Epoch: [61] [180/229] learning_rate: 0.359577 loss_vfl: 0.904162 loss_bbox: 0.359407 loss_dfl: 0.213153 loss: 1.486883 eta: 2 days, 4:26:06 batch_cost: 3.4138 data_cost: 0.0024 ips: 37.4945 images/s [10/15 13:25:45] ppdet.engine INFO: Epoch: [61] [200/229] learning_rate: 0.359466 loss_vfl: 0.938312 loss_bbox: 0.351036 loss_dfl: 0.209901 loss: 1.502334 eta: 2 days, 4:24:59 batch_cost: 3.4920 data_cost: 0.0025 ips: 36.6547 images/s [10/15 13:26:52] ppdet.engine INFO: Epoch: [61] [220/229] learning_rate: 0.359356 loss_vfl: 0.913644 loss_bbox: 0.364677 loss_dfl: 0.209834 loss: 1.483029 eta: 2 days, 4:23:30 batch_cost: 3.2068 data_cost: 0.0025 ips: 39.9155 images/s [10/15 13:27:46] ppdet.engine INFO: Epoch: [62] [ 0/229] learning_rate: 0.359306 loss_vfl: 0.898123 loss_bbox: 0.359725 loss_dfl: 0.208623 loss: 1.463605 eta: 2 days, 4:24:10 batch_cost: 4.1599 data_cost: 0.5874 ips: 30.7698 images/s [10/15 13:28:58] ppdet.engine INFO: Epoch: [62] [ 20/229] learning_rate: 0.359195 loss_vfl: 0.910839 loss_bbox: 0.347410 loss_dfl: 0.210610 loss: 1.474285 eta: 2 days, 4:23:00 batch_cost: 3.4514 data_cost: 0.0026 ips: 37.0860 images/s [10/15 13:30:09] ppdet.engine INFO: Epoch: [62] [ 40/229] learning_rate: 0.359085 loss_vfl: 0.906118 loss_bbox: 0.339685 loss_dfl: 0.207811 loss: 1.471531 eta: 2 days, 4:21:45 batch_cost: 3.3857 data_cost: 0.0024 ips: 37.8056 images/s [10/15 13:31:21] ppdet.engine INFO: Epoch: [62] [ 60/229] learning_rate: 0.358974 loss_vfl: 0.911792 loss_bbox: 0.347400 loss_dfl: 0.207154 loss: 1.462391 eta: 2 days, 4:20:36 batch_cost: 3.4636 data_cost: 0.0025 ips: 36.9557 images/s [10/15 13:32:32] ppdet.engine INFO: Epoch: [62] [ 80/229] learning_rate: 0.358863 loss_vfl: 0.915318 loss_bbox: 0.351148 loss_dfl: 0.211156 loss: 1.489699 eta: 2 days, 4:19:23 batch_cost: 3.4183 data_cost: 0.0026 ips: 37.4450 images/s [10/15 13:33:43] ppdet.engine INFO: Epoch: [62] [100/229] learning_rate: 0.358751 loss_vfl: 0.905143 loss_bbox: 0.356382 loss_dfl: 0.208423 loss: 1.473923 eta: 2 days, 4:18:09 batch_cost: 3.3874 data_cost: 0.0025 ips: 37.7872 images/s [10/15 13:34:55] ppdet.engine INFO: Epoch: [62] [120/229] learning_rate: 0.358640 loss_vfl: 0.897382 loss_bbox: 0.355535 loss_dfl: 0.207006 loss: 1.485240 eta: 2 days, 4:16:58 batch_cost: 3.4461 data_cost: 0.0035 ips: 37.1436 images/s [10/15 13:36:05] ppdet.engine INFO: Epoch: [62] [140/229] learning_rate: 0.358529 loss_vfl: 0.904555 loss_bbox: 0.338722 loss_dfl: 0.203974 loss: 1.444489 eta: 2 days, 4:15:41 batch_cost: 3.3599 data_cost: 0.0029 ips: 38.0965 images/s [10/15 13:37:16] ppdet.engine INFO: Epoch: [62] [160/229] learning_rate: 0.358417 loss_vfl: 0.915065 loss_bbox: 0.347580 loss_dfl: 0.205254 loss: 1.464858 eta: 2 days, 4:14:28 batch_cost: 3.4077 data_cost: 0.0025 ips: 37.5620 images/s [10/15 13:38:29] ppdet.engine INFO: Epoch: [62] [180/229] learning_rate: 0.358305 loss_vfl: 0.893602 loss_bbox: 0.360778 loss_dfl: 0.207636 loss: 1.463924 eta: 2 days, 4:13:20 batch_cost: 3.4803 data_cost: 0.0025 ips: 36.7787 images/s [10/15 13:39:41] ppdet.engine INFO: Epoch: [62] [200/229] learning_rate: 0.358193 loss_vfl: 0.918450 loss_bbox: 0.350989 loss_dfl: 0.208080 loss: 1.483396 eta: 2 days, 4:12:09 batch_cost: 3.4387 data_cost: 0.0026 ips: 37.2238 images/s [10/15 13:40:48] ppdet.engine INFO: Epoch: [62] [220/229] learning_rate: 0.358081 loss_vfl: 0.929470 loss_bbox: 0.350198 loss_dfl: 0.213041 loss: 1.495685 eta: 2 days, 4:10:43 batch_cost: 3.2275 data_cost: 0.0024 ips: 39.6590 images/s [10/15 13:41:41] ppdet.engine INFO: Epoch: [63] [ 0/229] learning_rate: 0.358031 loss_vfl: 0.924624 loss_bbox: 0.350198 loss_dfl: 0.213041 loss: 1.495440 eta: 2 days, 4:11:16 batch_cost: 4.1580 data_cost: 0.5690 ips: 30.7837 images/s [10/15 13:42:54] ppdet.engine INFO: Epoch: [63] [ 20/229] learning_rate: 0.357919 loss_vfl: 0.900035 loss_bbox: 0.344331 loss_dfl: 0.206399 loss: 1.447429 eta: 2 days, 4:10:10 batch_cost: 3.5013 data_cost: 0.0026 ips: 36.5577 images/s [10/15 13:44:05] ppdet.engine INFO: Epoch: [63] [ 40/229] learning_rate: 0.357807 loss_vfl: 0.899897 loss_bbox: 0.364297 loss_dfl: 0.209678 loss: 1.471504 eta: 2 days, 4:08:55 batch_cost: 3.3817 data_cost: 0.0023 ips: 37.8512 images/s [10/15 13:45:16] ppdet.engine INFO: Epoch: [63] [ 60/229] learning_rate: 0.357694 loss_vfl: 0.914671 loss_bbox: 0.358203 loss_dfl: 0.202337 loss: 1.473899 eta: 2 days, 4:07:42 batch_cost: 3.4166 data_cost: 0.0033 ips: 37.4643 images/s [10/15 13:46:27] ppdet.engine INFO: Epoch: [63] [ 80/229] learning_rate: 0.357582 loss_vfl: 0.905097 loss_bbox: 0.358657 loss_dfl: 0.202933 loss: 1.461383 eta: 2 days, 4:06:29 batch_cost: 3.4015 data_cost: 0.0025 ips: 37.6300 images/s [10/15 13:47:40] ppdet.engine INFO: Epoch: [63] [100/229] learning_rate: 0.357469 loss_vfl: 0.921033 loss_bbox: 0.356278 loss_dfl: 0.211413 loss: 1.475477 eta: 2 days, 4:05:20 batch_cost: 3.4638 data_cost: 0.0024 ips: 36.9533 images/s [10/15 13:48:52] ppdet.engine INFO: Epoch: [63] [120/229] learning_rate: 0.357356 loss_vfl: 0.903463 loss_bbox: 0.353547 loss_dfl: 0.208714 loss: 1.462384 eta: 2 days, 4:04:11 batch_cost: 3.4742 data_cost: 0.0026 ips: 36.8433 images/s [10/15 13:50:02] ppdet.engine INFO: Epoch: [63] [140/229] learning_rate: 0.357243 loss_vfl: 0.905454 loss_bbox: 0.340500 loss_dfl: 0.207508 loss: 1.444403 eta: 2 days, 4:02:53 batch_cost: 3.3428 data_cost: 0.0036 ips: 38.2917 images/s [10/15 13:51:12] ppdet.engine INFO: Epoch: [63] [160/229] learning_rate: 0.357130 loss_vfl: 0.923940 loss_bbox: 0.358186 loss_dfl: 0.207333 loss: 1.483461 eta: 2 days, 4:01:37 batch_cost: 3.3670 data_cost: 0.0023 ips: 38.0156 images/s [10/15 13:52:24] ppdet.engine INFO: Epoch: [63] [180/229] learning_rate: 0.357017 loss_vfl: 0.914713 loss_bbox: 0.348451 loss_dfl: 0.209115 loss: 1.488240 eta: 2 days, 4:00:26 batch_cost: 3.4331 data_cost: 0.0029 ips: 37.2846 images/s [10/15 13:53:35] ppdet.engine INFO: Epoch: [63] [200/229] learning_rate: 0.356903 loss_vfl: 0.911028 loss_bbox: 0.348683 loss_dfl: 0.209179 loss: 1.471648 eta: 2 days, 3:59:13 batch_cost: 3.4208 data_cost: 0.0030 ips: 37.4182 images/s [10/15 13:54:43] ppdet.engine INFO: Epoch: [63] [220/229] learning_rate: 0.356790 loss_vfl: 0.910400 loss_bbox: 0.361859 loss_dfl: 0.206734 loss: 1.471764 eta: 2 days, 3:57:47 batch_cost: 3.2246 data_cost: 0.0025 ips: 39.6953 images/s [10/15 13:55:37] ppdet.engine INFO: Epoch: [64] [ 0/229] learning_rate: 0.356739 loss_vfl: 0.913039 loss_bbox: 0.347832 loss_dfl: 0.207401 loss: 1.471764 eta: 2 days, 3:58:24 batch_cost: 4.2006 data_cost: 0.3341 ips: 30.4716 images/s [10/15 13:56:50] ppdet.engine INFO: Epoch: [64] [ 20/229] learning_rate: 0.356625 loss_vfl: 0.902771 loss_bbox: 0.349918 loss_dfl: 0.203552 loss: 1.449544 eta: 2 days, 3:57:16 batch_cost: 3.4833 data_cost: 0.0025 ips: 36.7472 images/s [10/15 13:58:04] ppdet.engine INFO: Epoch: [64] [ 40/229] learning_rate: 0.356511 loss_vfl: 0.917256 loss_bbox: 0.349885 loss_dfl: 0.210898 loss: 1.485038 eta: 2 days, 3:56:13 batch_cost: 3.5505 data_cost: 0.0025 ips: 36.0517 images/s [10/15 13:59:15] ppdet.engine INFO: Epoch: [64] [ 60/229] learning_rate: 0.356397 loss_vfl: 0.919029 loss_bbox: 0.350460 loss_dfl: 0.213138 loss: 1.485560 eta: 2 days, 3:55:00 batch_cost: 3.4032 data_cost: 0.0033 ips: 37.6112 images/s [10/15 14:00:25] ppdet.engine INFO: Epoch: [64] [ 80/229] learning_rate: 0.356283 loss_vfl: 0.899635 loss_bbox: 0.355687 loss_dfl: 0.207328 loss: 1.465261 eta: 2 days, 3:53:40 batch_cost: 3.3205 data_cost: 0.0024 ips: 38.5479 images/s [10/15 14:01:35] ppdet.engine INFO: Epoch: [64] [100/229] learning_rate: 0.356169 loss_vfl: 0.915417 loss_bbox: 0.353633 loss_dfl: 0.202390 loss: 1.461865 eta: 2 days, 3:52:23 batch_cost: 3.3552 data_cost: 0.0024 ips: 38.1503 images/s [10/15 14:02:46] ppdet.engine INFO: Epoch: [64] [120/229] learning_rate: 0.356055 loss_vfl: 0.923574 loss_bbox: 0.353113 loss_dfl: 0.208134 loss: 1.494315 eta: 2 days, 3:51:10 batch_cost: 3.4151 data_cost: 0.0025 ips: 37.4804 images/s [10/15 14:03:56] ppdet.engine INFO: Epoch: [64] [140/229] learning_rate: 0.355940 loss_vfl: 0.915007 loss_bbox: 0.356876 loss_dfl: 0.207470 loss: 1.469540 eta: 2 days, 3:49:54 batch_cost: 3.3655 data_cost: 0.0025 ips: 38.0333 images/s [10/15 14:05:08] ppdet.engine INFO: Epoch: [64] [160/229] learning_rate: 0.355826 loss_vfl: 0.910263 loss_bbox: 0.351920 loss_dfl: 0.207328 loss: 1.468713 eta: 2 days, 3:48:43 batch_cost: 3.4291 data_cost: 0.0026 ips: 37.3274 images/s [10/15 14:06:18] ppdet.engine INFO: Epoch: [64] [180/229] learning_rate: 0.355711 loss_vfl: 0.905403 loss_bbox: 0.361912 loss_dfl: 0.208306 loss: 1.468383 eta: 2 days, 3:47:25 batch_cost: 3.3505 data_cost: 0.0024 ips: 38.2033 images/s [10/15 14:07:29] ppdet.engine INFO: Epoch: [64] [200/229] learning_rate: 0.355596 loss_vfl: 0.911548 loss_bbox: 0.355172 loss_dfl: 0.209002 loss: 1.467464 eta: 2 days, 3:46:12 batch_cost: 3.4059 data_cost: 0.0023 ips: 37.5820 images/s [10/15 14:08:35] ppdet.engine INFO: Epoch: [64] [220/229] learning_rate: 0.355481 loss_vfl: 0.894826 loss_bbox: 0.344831 loss_dfl: 0.205559 loss: 1.444233 eta: 2 days, 3:44:43 batch_cost: 3.1814 data_cost: 0.0023 ips: 40.2336 images/s [10/15 14:09:28] ppdet.engine INFO: Epoch: [65] [ 0/229] learning_rate: 0.355429 loss_vfl: 0.903637 loss_bbox: 0.337953 loss_dfl: 0.204664 loss: 1.440419 eta: 2 days, 3:45:13 batch_cost: 4.0602 data_cost: 0.6119 ips: 31.5257 images/s [10/15 14:10:39] ppdet.engine INFO: Epoch: [65] [ 20/229] learning_rate: 0.355314 loss_vfl: 0.898931 loss_bbox: 0.342011 loss_dfl: 0.201098 loss: 1.452798 eta: 2 days, 3:43:59 batch_cost: 3.3941 data_cost: 0.0025 ips: 37.7123 images/s [10/15 14:11:52] ppdet.engine INFO: Epoch: [65] [ 40/229] learning_rate: 0.355199 loss_vfl: 0.902116 loss_bbox: 0.352772 loss_dfl: 0.209304 loss: 1.459636 eta: 2 days, 3:42:54 batch_cost: 3.5136 data_cost: 0.0025 ips: 36.4296 images/s [10/15 14:13:03] ppdet.engine INFO: Epoch: [65] [ 60/229] learning_rate: 0.355083 loss_vfl: 0.905358 loss_bbox: 0.356196 loss_dfl: 0.207758 loss: 1.461452 eta: 2 days, 3:41:39 batch_cost: 3.3899 data_cost: 0.0024 ips: 37.7587 images/s [10/15 14:14:13] ppdet.engine INFO: Epoch: [65] [ 80/229] learning_rate: 0.354968 loss_vfl: 0.906518 loss_bbox: 0.354373 loss_dfl: 0.206961 loss: 1.479786 eta: 2 days, 3:40:23 batch_cost: 3.3606 data_cost: 0.0024 ips: 38.0880 images/s [10/15 14:15:25] ppdet.engine INFO: Epoch: [65] [100/229] learning_rate: 0.354852 loss_vfl: 0.904083 loss_bbox: 0.355766 loss_dfl: 0.208753 loss: 1.469214 eta: 2 days, 3:39:11 batch_cost: 3.4311 data_cost: 0.0031 ips: 37.3057 images/s [10/15 14:16:35] ppdet.engine INFO: Epoch: [65] [120/229] learning_rate: 0.354736 loss_vfl: 0.911836 loss_bbox: 0.373149 loss_dfl: 0.213384 loss: 1.499851 eta: 2 days, 3:37:54 batch_cost: 3.3484 data_cost: 0.0023 ips: 38.2268 images/s [10/15 14:17:46] ppdet.engine INFO: Epoch: [65] [140/229] learning_rate: 0.354620 loss_vfl: 0.911114 loss_bbox: 0.349156 loss_dfl: 0.211659 loss: 1.473766 eta: 2 days, 3:36:41 batch_cost: 3.4036 data_cost: 0.0025 ips: 37.6068 images/s [10/15 14:18:58] ppdet.engine INFO: Epoch: [65] [160/229] learning_rate: 0.354504 loss_vfl: 0.915416 loss_bbox: 0.356758 loss_dfl: 0.217129 loss: 1.489179 eta: 2 days, 3:35:30 batch_cost: 3.4389 data_cost: 0.0025 ips: 37.2212 images/s [10/15 14:20:09] ppdet.engine INFO: Epoch: [65] [180/229] learning_rate: 0.354388 loss_vfl: 0.918777 loss_bbox: 0.346253 loss_dfl: 0.205684 loss: 1.482234 eta: 2 days, 3:34:17 batch_cost: 3.4165 data_cost: 0.0025 ips: 37.4655 images/s [10/15 14:21:19] ppdet.engine INFO: Epoch: [65] [200/229] learning_rate: 0.354272 loss_vfl: 0.910687 loss_bbox: 0.346714 loss_dfl: 0.209650 loss: 1.480334 eta: 2 days, 3:33:01 batch_cost: 3.3662 data_cost: 0.0025 ips: 38.0246 images/s [10/15 14:22:25] ppdet.engine INFO: Epoch: [65] [220/229] learning_rate: 0.354155 loss_vfl: 0.905606 loss_bbox: 0.365137 loss_dfl: 0.207250 loss: 1.464153 eta: 2 days, 3:31:31 batch_cost: 3.1603 data_cost: 0.0024 ips: 40.5021 images/s [10/15 14:23:19] ppdet.engine INFO: Epoch: [66] [ 0/229] learning_rate: 0.354103 loss_vfl: 0.899929 loss_bbox: 0.367118 loss_dfl: 0.213502 loss: 1.468377 eta: 2 days, 3:32:02 batch_cost: 4.0888 data_cost: 0.5187 ips: 31.3054 images/s [10/15 14:24:32] ppdet.engine INFO: Epoch: [66] [ 20/229] learning_rate: 0.353986 loss_vfl: 0.896991 loss_bbox: 0.354672 loss_dfl: 0.207364 loss: 1.458732 eta: 2 days, 3:30:55 batch_cost: 3.4922 data_cost: 0.0026 ips: 36.6532 images/s [10/15 14:25:43] ppdet.engine INFO: Epoch: [66] [ 40/229] learning_rate: 0.353869 loss_vfl: 0.910306 loss_bbox: 0.355106 loss_dfl: 0.213537 loss: 1.470966 eta: 2 days, 3:29:42 batch_cost: 3.4014 data_cost: 0.0026 ips: 37.6311 images/s [10/15 14:26:54] ppdet.engine INFO: Epoch: [66] [ 60/229] learning_rate: 0.353752 loss_vfl: 0.905974 loss_bbox: 0.353907 loss_dfl: 0.213656 loss: 1.494132 eta: 2 days, 3:28:28 batch_cost: 3.3955 data_cost: 0.0024 ips: 37.6970 images/s [10/15 14:28:05] ppdet.engine INFO: Epoch: [66] [ 80/229] learning_rate: 0.353635 loss_vfl: 0.908798 loss_bbox: 0.354885 loss_dfl: 0.207309 loss: 1.476110 eta: 2 days, 3:27:13 batch_cost: 3.3791 data_cost: 0.0024 ips: 37.8803 images/s [10/15 14:29:16] ppdet.engine INFO: Epoch: [66] [100/229] learning_rate: 0.353518 loss_vfl: 0.897993 loss_bbox: 0.353890 loss_dfl: 0.206519 loss: 1.454962 eta: 2 days, 3:26:00 batch_cost: 3.4164 data_cost: 0.0024 ips: 37.4663 images/s [10/15 14:30:26] ppdet.engine INFO: Epoch: [66] [120/229] learning_rate: 0.353401 loss_vfl: 0.911535 loss_bbox: 0.340604 loss_dfl: 0.199800 loss: 1.456368 eta: 2 days, 3:24:43 batch_cost: 3.3440 data_cost: 0.0023 ips: 38.2772 images/s [10/15 14:31:35] ppdet.engine INFO: Epoch: [66] [140/229] learning_rate: 0.353283 loss_vfl: 0.905231 loss_bbox: 0.361077 loss_dfl: 0.211051 loss: 1.470661 eta: 2 days, 3:23:23 batch_cost: 3.3104 data_cost: 0.0025 ips: 38.6664 images/s [10/15 14:32:47] ppdet.engine INFO: Epoch: [66] [160/229] learning_rate: 0.353166 loss_vfl: 0.908304 loss_bbox: 0.342005 loss_dfl: 0.201542 loss: 1.445527 eta: 2 days, 3:22:12 batch_cost: 3.4422 data_cost: 0.0024 ips: 37.1851 images/s [10/15 14:33:59] ppdet.engine INFO: Epoch: [66] [180/229] learning_rate: 0.353048 loss_vfl: 0.920675 loss_bbox: 0.342190 loss_dfl: 0.204751 loss: 1.475060 eta: 2 days, 3:21:00 batch_cost: 3.4150 data_cost: 0.0025 ips: 37.4822 images/s [10/15 14:35:09] ppdet.engine INFO: Epoch: [66] [200/229] learning_rate: 0.352930 loss_vfl: 0.901017 loss_bbox: 0.338392 loss_dfl: 0.199757 loss: 1.447016 eta: 2 days, 3:19:44 batch_cost: 3.3600 data_cost: 0.0023 ips: 38.0949 images/s [10/15 14:36:16] ppdet.engine INFO: Epoch: [66] [220/229] learning_rate: 0.352812 loss_vfl: 0.920398 loss_bbox: 0.355163 loss_dfl: 0.203846 loss: 1.467808 eta: 2 days, 3:18:16 batch_cost: 3.2044 data_cost: 0.0024 ips: 39.9455 images/s [10/15 14:37:06] ppdet.engine INFO: Epoch: [67] [ 0/229] learning_rate: 0.352759 loss_vfl: 0.913885 loss_bbox: 0.356282 loss_dfl: 0.203991 loss: 1.475611 eta: 2 days, 3:18:33 batch_cost: 3.9316 data_cost: 0.3265 ips: 32.5567 images/s [10/15 14:38:18] ppdet.engine INFO: Epoch: [67] [ 20/229] learning_rate: 0.352641 loss_vfl: 0.908199 loss_bbox: 0.351080 loss_dfl: 0.206983 loss: 1.458979 eta: 2 days, 3:17:24 batch_cost: 3.4664 data_cost: 0.0024 ips: 36.9258 images/s [10/15 14:39:29] ppdet.engine INFO: Epoch: [67] [ 40/229] learning_rate: 0.352523 loss_vfl: 0.893743 loss_bbox: 0.352741 loss_dfl: 0.205217 loss: 1.437174 eta: 2 days, 3:16:09 batch_cost: 3.3768 data_cost: 0.0024 ips: 37.9054 images/s [10/15 14:40:41] ppdet.engine INFO: Epoch: [67] [ 60/229] learning_rate: 0.352404 loss_vfl: 0.918297 loss_bbox: 0.346962 loss_dfl: 0.205854 loss: 1.466224 eta: 2 days, 3:14:59 batch_cost: 3.4434 data_cost: 0.0025 ips: 37.1725 images/s [10/15 14:41:52] ppdet.engine INFO: Epoch: [67] [ 80/229] learning_rate: 0.352286 loss_vfl: 0.901245 loss_bbox: 0.362181 loss_dfl: 0.218349 loss: 1.476698 eta: 2 days, 3:13:45 batch_cost: 3.3946 data_cost: 0.0025 ips: 37.7065 images/s [10/15 14:43:02] ppdet.engine INFO: Epoch: [67] [100/229] learning_rate: 0.352167 loss_vfl: 0.932738 loss_bbox: 0.349237 loss_dfl: 0.215766 loss: 1.497832 eta: 2 days, 3:12:30 batch_cost: 3.3791 data_cost: 0.0024 ips: 37.8804 images/s [10/15 14:44:13] ppdet.engine INFO: Epoch: [67] [120/229] learning_rate: 0.352049 loss_vfl: 0.905753 loss_bbox: 0.340281 loss_dfl: 0.206223 loss: 1.467699 eta: 2 days, 3:11:14 batch_cost: 3.3666 data_cost: 0.0023 ips: 38.0203 images/s [10/15 14:45:24] ppdet.engine INFO: Epoch: [67] [140/229] learning_rate: 0.351930 loss_vfl: 0.901124 loss_bbox: 0.346784 loss_dfl: 0.200339 loss: 1.460955 eta: 2 days, 3:10:03 batch_cost: 3.4379 data_cost: 0.0024 ips: 37.2323 images/s [10/15 14:46:35] ppdet.engine INFO: Epoch: [67] [160/229] learning_rate: 0.351811 loss_vfl: 0.910432 loss_bbox: 0.350792 loss_dfl: 0.209628 loss: 1.464619 eta: 2 days, 3:08:49 batch_cost: 3.3825 data_cost: 0.0024 ips: 37.8420 images/s [10/15 14:47:45] ppdet.engine INFO: Epoch: [67] [180/229] learning_rate: 0.351691 loss_vfl: 0.902016 loss_bbox: 0.337976 loss_dfl: 0.201332 loss: 1.442023 eta: 2 days, 3:07:33 batch_cost: 3.3749 data_cost: 0.0023 ips: 37.9274 images/s [10/15 14:48:54] ppdet.engine INFO: Epoch: [67] [200/229] learning_rate: 0.351572 loss_vfl: 0.913961 loss_bbox: 0.346015 loss_dfl: 0.207218 loss: 1.476014 eta: 2 days, 3:06:14 batch_cost: 3.3063 data_cost: 0.0023 ips: 38.7137 images/s [10/15 14:50:01] ppdet.engine INFO: Epoch: [67] [220/229] learning_rate: 0.351453 loss_vfl: 0.917266 loss_bbox: 0.337918 loss_dfl: 0.206826 loss: 1.453894 eta: 2 days, 3:04:46 batch_cost: 3.1850 data_cost: 0.0025 ips: 40.1884 images/s [10/15 14:50:52] ppdet.engine INFO: Epoch: [68] [ 0/229] learning_rate: 0.351399 loss_vfl: 0.918764 loss_bbox: 0.340954 loss_dfl: 0.208179 loss: 1.465433 eta: 2 days, 3:05:08 batch_cost: 4.0017 data_cost: 0.6698 ips: 31.9863 images/s [10/15 14:52:04] ppdet.engine INFO: Epoch: [68] [ 20/229] learning_rate: 0.351279 loss_vfl: 0.911654 loss_bbox: 0.353568 loss_dfl: 0.210117 loss: 1.478052 eta: 2 days, 3:03:56 batch_cost: 3.4325 data_cost: 0.0033 ips: 37.2908 images/s [10/15 14:53:15] ppdet.engine INFO: Epoch: [68] [ 40/229] learning_rate: 0.351160 loss_vfl: 0.887539 loss_bbox: 0.346688 loss_dfl: 0.205535 loss: 1.452707 eta: 2 days, 3:02:43 batch_cost: 3.4023 data_cost: 0.0028 ips: 37.6220 images/s [10/15 14:54:24] ppdet.engine INFO: Epoch: [68] [ 60/229] learning_rate: 0.351040 loss_vfl: 0.898380 loss_bbox: 0.341542 loss_dfl: 0.205714 loss: 1.437522 eta: 2 days, 3:01:22 batch_cost: 3.2861 data_cost: 0.0025 ips: 38.9522 images/s [10/15 14:55:36] ppdet.engine INFO: Epoch: [68] [ 80/229] learning_rate: 0.350920 loss_vfl: 0.904460 loss_bbox: 0.345285 loss_dfl: 0.207634 loss: 1.455471 eta: 2 days, 3:00:12 batch_cost: 3.4484 data_cost: 0.0037 ips: 37.1188 images/s [10/15 14:56:45] ppdet.engine INFO: Epoch: [68] [100/229] learning_rate: 0.350800 loss_vfl: 0.905445 loss_bbox: 0.346373 loss_dfl: 0.203356 loss: 1.459514 eta: 2 days, 2:58:54 batch_cost: 3.3380 data_cost: 0.0024 ips: 38.3467 images/s [10/15 14:57:54] ppdet.engine INFO: Epoch: [68] [120/229] learning_rate: 0.350680 loss_vfl: 0.897833 loss_bbox: 0.358485 loss_dfl: 0.207957 loss: 1.479729 eta: 2 days, 2:57:35 batch_cost: 3.3082 data_cost: 0.0025 ips: 38.6916 images/s [10/15 14:59:04] ppdet.engine INFO: Epoch: [68] [140/229] learning_rate: 0.350559 loss_vfl: 0.918487 loss_bbox: 0.367149 loss_dfl: 0.212321 loss: 1.491649 eta: 2 days, 2:56:17 batch_cost: 3.3425 data_cost: 0.0030 ips: 38.2943 images/s [10/15 15:00:14] ppdet.engine INFO: Epoch: [68] [160/229] learning_rate: 0.350439 loss_vfl: 0.887527 loss_bbox: 0.359598 loss_dfl: 0.210884 loss: 1.443520 eta: 2 days, 2:55:01 batch_cost: 3.3513 data_cost: 0.0026 ips: 38.1941 images/s [10/15 15:01:25] ppdet.engine INFO: Epoch: [68] [180/229] learning_rate: 0.350318 loss_vfl: 0.921446 loss_bbox: 0.344143 loss_dfl: 0.208446 loss: 1.481578 eta: 2 days, 2:53:47 batch_cost: 3.3903 data_cost: 0.0025 ips: 37.7544 images/s [10/15 15:02:37] ppdet.engine INFO: Epoch: [68] [200/229] learning_rate: 0.350197 loss_vfl: 0.902892 loss_bbox: 0.341383 loss_dfl: 0.205301 loss: 1.471873 eta: 2 days, 2:52:36 batch_cost: 3.4287 data_cost: 0.0024 ips: 37.3323 images/s [10/15 15:03:43] ppdet.engine INFO: Epoch: [68] [220/229] learning_rate: 0.350077 loss_vfl: 0.921197 loss_bbox: 0.362420 loss_dfl: 0.205960 loss: 1.481696 eta: 2 days, 2:51:08 batch_cost: 3.1904 data_cost: 0.0025 ips: 40.1197 images/s [10/15 15:04:39] ppdet.engine INFO: Epoch: [69] [ 0/229] learning_rate: 0.350022 loss_vfl: 0.921238 loss_bbox: 0.366659 loss_dfl: 0.208774 loss: 1.493245 eta: 2 days, 2:51:42 batch_cost: 4.1792 data_cost: 0.3916 ips: 30.6278 images/s [10/15 15:05:51] ppdet.engine INFO: Epoch: [69] [ 20/229] learning_rate: 0.349901 loss_vfl: 0.918507 loss_bbox: 0.355557 loss_dfl: 0.221788 loss: 1.507138 eta: 2 days, 2:50:33 batch_cost: 3.4583 data_cost: 0.0027 ips: 37.0128 images/s [10/15 15:07:01] ppdet.engine INFO: Epoch: [69] [ 40/229] learning_rate: 0.349780 loss_vfl: 0.888843 loss_bbox: 0.344814 loss_dfl: 0.205698 loss: 1.447179 eta: 2 days, 2:49:16 batch_cost: 3.3526 data_cost: 0.0024 ips: 38.1792 images/s [10/15 15:08:11] ppdet.engine INFO: Epoch: [69] [ 60/229] learning_rate: 0.349659 loss_vfl: 0.895976 loss_bbox: 0.345578 loss_dfl: 0.210319 loss: 1.469998 eta: 2 days, 2:48:01 batch_cost: 3.3686 data_cost: 0.0024 ips: 37.9976 images/s [10/15 15:09:23] ppdet.engine INFO: Epoch: [69] [ 80/229] learning_rate: 0.349537 loss_vfl: 0.893427 loss_bbox: 0.355286 loss_dfl: 0.205160 loss: 1.447982 eta: 2 days, 2:46:50 batch_cost: 3.4344 data_cost: 0.0024 ips: 37.2703 images/s [10/15 15:10:34] ppdet.engine INFO: Epoch: [69] [100/229] learning_rate: 0.349416 loss_vfl: 0.898752 loss_bbox: 0.347612 loss_dfl: 0.204133 loss: 1.457949 eta: 2 days, 2:45:38 batch_cost: 3.4195 data_cost: 0.0024 ips: 37.4321 images/s [10/15 15:11:46] ppdet.engine INFO: Epoch: [69] [120/229] learning_rate: 0.349294 loss_vfl: 0.906910 loss_bbox: 0.339577 loss_dfl: 0.205281 loss: 1.456923 eta: 2 days, 2:44:25 batch_cost: 3.4094 data_cost: 0.0031 ips: 37.5431 images/s [10/15 15:12:56] ppdet.engine INFO: Epoch: [69] [140/229] learning_rate: 0.349172 loss_vfl: 0.904746 loss_bbox: 0.349419 loss_dfl: 0.208306 loss: 1.469555 eta: 2 days, 2:43:09 batch_cost: 3.3522 data_cost: 0.0024 ips: 38.1835 images/s [10/15 15:14:07] ppdet.engine INFO: Epoch: [69] [160/229] learning_rate: 0.349050 loss_vfl: 0.902601 loss_bbox: 0.358449 loss_dfl: 0.207891 loss: 1.446694 eta: 2 days, 2:41:57 batch_cost: 3.4198 data_cost: 0.0024 ips: 37.4292 images/s [10/15 15:15:18] ppdet.engine INFO: Epoch: [69] [180/229] learning_rate: 0.348928 loss_vfl: 0.899198 loss_bbox: 0.348032 loss_dfl: 0.210709 loss: 1.452486 eta: 2 days, 2:40:43 batch_cost: 3.3951 data_cost: 0.0025 ips: 37.7010 images/s [10/15 15:16:27] ppdet.engine INFO: Epoch: [69] [200/229] learning_rate: 0.348806 loss_vfl: 0.894603 loss_bbox: 0.343205 loss_dfl: 0.198975 loss: 1.439053 eta: 2 days, 2:39:23 batch_cost: 3.3012 data_cost: 0.0024 ips: 38.7734 images/s [10/15 15:17:33] ppdet.engine INFO: Epoch: [69] [220/229] learning_rate: 0.348684 loss_vfl: 0.907604 loss_bbox: 0.376959 loss_dfl: 0.216259 loss: 1.489141 eta: 2 days, 2:37:56 batch_cost: 3.1768 data_cost: 0.0024 ips: 40.2923 images/s [10/15 15:18:01] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 15:18:01] ppdet.engine INFO: Eval iter: 0 [10/15 15:18:41] ppdet.engine INFO: Eval iter: 100 [10/15 15:19:04] ppdet.engine INFO: Eval iter: 200 [10/15 15:19:27] ppdet.engine INFO: Eval iter: 300 [10/15 15:19:50] ppdet.engine INFO: Eval iter: 400 [10/15 15:20:13] ppdet.engine INFO: Eval iter: 500 [10/15 15:20:35] ppdet.engine INFO: Eval iter: 600 [10/15 15:20:56] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.88s) creating index... index created! [10/15 15:20:57] 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=97.85s). Accumulating evaluation results... DONE (t=17.09s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.245 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.379 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.255 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 ] = 0.242 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.425 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 ] = 0.374 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.399 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.125 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.432 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.660 [10/15 15:22:58] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.935676634367752 [10/15 15:22:58] ppdet.engine INFO: Best test bbox ap is 0.245. [10/15 15:22:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 15:23:02] ppdet.engine INFO: Epoch: [70] [ 0/229] learning_rate: 0.348629 loss_vfl: 0.905078 loss_bbox: 0.379879 loss_dfl: 0.225867 loss: 1.501078 eta: 2 days, 2:37:07 batch_cost: 2.9894 data_cost: 0.0024 ips: 42.8181 images/s [10/15 15:24:14] ppdet.engine INFO: Epoch: [70] [ 20/229] learning_rate: 0.348507 loss_vfl: 0.906862 loss_bbox: 0.355313 loss_dfl: 0.214595 loss: 1.479834 eta: 2 days, 2:35:55 batch_cost: 3.4218 data_cost: 0.0025 ips: 37.4073 images/s [10/15 15:25:25] ppdet.engine INFO: Epoch: [70] [ 40/229] learning_rate: 0.348384 loss_vfl: 0.901601 loss_bbox: 0.344648 loss_dfl: 0.207034 loss: 1.458813 eta: 2 days, 2:34:43 batch_cost: 3.4103 data_cost: 0.0026 ips: 37.5339 images/s [10/15 15:26:36] ppdet.engine INFO: Epoch: [70] [ 60/229] learning_rate: 0.348261 loss_vfl: 0.910315 loss_bbox: 0.349936 loss_dfl: 0.207546 loss: 1.460630 eta: 2 days, 2:33:29 batch_cost: 3.3924 data_cost: 0.0023 ips: 37.7317 images/s [10/15 15:27:45] ppdet.engine INFO: Epoch: [70] [ 80/229] learning_rate: 0.348138 loss_vfl: 0.895522 loss_bbox: 0.342302 loss_dfl: 0.205816 loss: 1.451925 eta: 2 days, 2:32:12 batch_cost: 3.3408 data_cost: 0.0024 ips: 38.3147 images/s [10/15 15:28:56] ppdet.engine INFO: Epoch: [70] [100/229] learning_rate: 0.348015 loss_vfl: 0.910963 loss_bbox: 0.341502 loss_dfl: 0.207946 loss: 1.471974 eta: 2 days, 2:30:58 batch_cost: 3.3785 data_cost: 0.0025 ips: 37.8861 images/s [10/15 15:30:04] ppdet.engine INFO: Epoch: [70] [120/229] learning_rate: 0.347892 loss_vfl: 0.914472 loss_bbox: 0.344750 loss_dfl: 0.203451 loss: 1.465333 eta: 2 days, 2:29:37 batch_cost: 3.2771 data_cost: 0.0025 ips: 39.0591 images/s [10/15 15:31:16] ppdet.engine INFO: Epoch: [70] [140/229] learning_rate: 0.347769 loss_vfl: 0.900830 loss_bbox: 0.353963 loss_dfl: 0.211181 loss: 1.471713 eta: 2 days, 2:28:24 batch_cost: 3.4091 data_cost: 0.0025 ips: 37.5464 images/s [10/15 15:32:25] ppdet.engine INFO: Epoch: [70] [160/229] learning_rate: 0.347646 loss_vfl: 0.913940 loss_bbox: 0.333550 loss_dfl: 0.203057 loss: 1.471606 eta: 2 days, 2:27:06 batch_cost: 3.3177 data_cost: 0.0024 ips: 38.5814 images/s [10/15 15:33:35] ppdet.engine INFO: Epoch: [70] [180/229] learning_rate: 0.347522 loss_vfl: 0.905441 loss_bbox: 0.350722 loss_dfl: 0.210349 loss: 1.471834 eta: 2 days, 2:25:51 batch_cost: 3.3744 data_cost: 0.0024 ips: 37.9327 images/s [10/15 15:34:46] ppdet.engine INFO: Epoch: [70] [200/229] learning_rate: 0.347399 loss_vfl: 0.914091 loss_bbox: 0.362381 loss_dfl: 0.208024 loss: 1.477949 eta: 2 days, 2:24:37 batch_cost: 3.3759 data_cost: 0.0024 ips: 37.9155 images/s [10/15 15:35:52] ppdet.engine INFO: Epoch: [70] [220/229] learning_rate: 0.347275 loss_vfl: 0.912893 loss_bbox: 0.344055 loss_dfl: 0.208986 loss: 1.460683 eta: 2 days, 2:23:08 batch_cost: 3.1622 data_cost: 0.0024 ips: 40.4777 images/s [10/15 15:36:44] ppdet.engine INFO: Epoch: [71] [ 0/229] learning_rate: 0.347219 loss_vfl: 0.911379 loss_bbox: 0.351085 loss_dfl: 0.208894 loss: 1.463659 eta: 2 days, 2:23:28 batch_cost: 4.0026 data_cost: 0.5743 ips: 31.9795 images/s [10/15 15:37:55] ppdet.engine INFO: Epoch: [71] [ 20/229] learning_rate: 0.347096 loss_vfl: 0.906604 loss_bbox: 0.350339 loss_dfl: 0.209328 loss: 1.474091 eta: 2 days, 2:22:17 batch_cost: 3.4453 data_cost: 0.0024 ips: 37.1516 images/s [10/15 15:39:07] ppdet.engine INFO: Epoch: [71] [ 40/229] learning_rate: 0.346972 loss_vfl: 0.907459 loss_bbox: 0.339220 loss_dfl: 0.202647 loss: 1.448126 eta: 2 days, 2:21:07 batch_cost: 3.4371 data_cost: 0.0024 ips: 37.2410 images/s [10/15 15:40:18] ppdet.engine INFO: Epoch: [71] [ 60/229] learning_rate: 0.346847 loss_vfl: 0.923865 loss_bbox: 0.350540 loss_dfl: 0.209399 loss: 1.475544 eta: 2 days, 2:19:54 batch_cost: 3.4038 data_cost: 0.0023 ips: 37.6055 images/s [10/15 15:41:29] ppdet.engine INFO: Epoch: [71] [ 80/229] learning_rate: 0.346723 loss_vfl: 0.910445 loss_bbox: 0.347762 loss_dfl: 0.206967 loss: 1.463506 eta: 2 days, 2:18:40 batch_cost: 3.3835 data_cost: 0.0025 ips: 37.8303 images/s [10/15 15:42:38] ppdet.engine INFO: Epoch: [71] [100/229] learning_rate: 0.346599 loss_vfl: 0.910810 loss_bbox: 0.333326 loss_dfl: 0.203687 loss: 1.444848 eta: 2 days, 2:17:20 batch_cost: 3.2950 data_cost: 0.0023 ips: 38.8462 images/s [10/15 15:43:47] ppdet.engine INFO: Epoch: [71] [120/229] learning_rate: 0.346474 loss_vfl: 0.893169 loss_bbox: 0.359940 loss_dfl: 0.208860 loss: 1.473337 eta: 2 days, 2:16:02 batch_cost: 3.3208 data_cost: 0.0023 ips: 38.5450 images/s [10/15 15:44:58] ppdet.engine INFO: Epoch: [71] [140/229] learning_rate: 0.346350 loss_vfl: 0.901259 loss_bbox: 0.361399 loss_dfl: 0.209824 loss: 1.472340 eta: 2 days, 2:14:49 batch_cost: 3.3926 data_cost: 0.0023 ips: 37.7287 images/s [10/15 15:46:10] ppdet.engine INFO: Epoch: [71] [160/229] learning_rate: 0.346225 loss_vfl: 0.911276 loss_bbox: 0.357684 loss_dfl: 0.213795 loss: 1.490907 eta: 2 days, 2:13:38 batch_cost: 3.4322 data_cost: 0.0025 ips: 37.2938 images/s [10/15 15:47:22] ppdet.engine INFO: Epoch: [71] [180/229] learning_rate: 0.346100 loss_vfl: 0.905123 loss_bbox: 0.352413 loss_dfl: 0.211501 loss: 1.476184 eta: 2 days, 2:12:29 batch_cost: 3.4548 data_cost: 0.0024 ips: 37.0495 images/s [10/15 15:48:31] ppdet.engine INFO: Epoch: [71] [200/229] learning_rate: 0.345975 loss_vfl: 0.912855 loss_bbox: 0.359083 loss_dfl: 0.203221 loss: 1.455958 eta: 2 days, 2:11:11 batch_cost: 3.3279 data_cost: 0.0025 ips: 38.4624 images/s [10/15 15:49:37] ppdet.engine INFO: Epoch: [71] [220/229] learning_rate: 0.345850 loss_vfl: 0.896155 loss_bbox: 0.339246 loss_dfl: 0.204104 loss: 1.447569 eta: 2 days, 2:09:41 batch_cost: 3.1224 data_cost: 0.0023 ips: 40.9941 images/s [10/15 15:50:29] ppdet.engine INFO: Epoch: [72] [ 0/229] learning_rate: 0.345794 loss_vfl: 0.894205 loss_bbox: 0.357874 loss_dfl: 0.209503 loss: 1.450629 eta: 2 days, 2:10:01 batch_cost: 4.0275 data_cost: 0.6853 ips: 31.7815 images/s [10/15 15:51:39] ppdet.engine INFO: Epoch: [72] [ 20/229] learning_rate: 0.345668 loss_vfl: 0.899427 loss_bbox: 0.348922 loss_dfl: 0.210261 loss: 1.444064 eta: 2 days, 2:08:46 batch_cost: 3.3572 data_cost: 0.0030 ips: 38.1266 images/s [10/15 15:52:51] ppdet.engine INFO: Epoch: [72] [ 40/229] learning_rate: 0.345543 loss_vfl: 0.891257 loss_bbox: 0.353928 loss_dfl: 0.214080 loss: 1.465319 eta: 2 days, 2:07:35 batch_cost: 3.4412 data_cost: 0.0038 ips: 37.1967 images/s [10/15 15:54:02] ppdet.engine INFO: Epoch: [72] [ 60/229] learning_rate: 0.345418 loss_vfl: 0.901258 loss_bbox: 0.363555 loss_dfl: 0.215636 loss: 1.462811 eta: 2 days, 2:06:25 batch_cost: 3.4364 data_cost: 0.0027 ips: 37.2483 images/s [10/15 15:55:12] ppdet.engine INFO: Epoch: [72] [ 80/229] learning_rate: 0.345292 loss_vfl: 0.913414 loss_bbox: 0.339904 loss_dfl: 0.209159 loss: 1.472246 eta: 2 days, 2:05:09 batch_cost: 3.3519 data_cost: 0.0025 ips: 38.1877 images/s [10/15 15:56:22] ppdet.engine INFO: Epoch: [72] [100/229] learning_rate: 0.345166 loss_vfl: 0.901308 loss_bbox: 0.350735 loss_dfl: 0.204513 loss: 1.465770 eta: 2 days, 2:03:53 batch_cost: 3.3481 data_cost: 0.0027 ips: 38.2311 images/s [10/15 15:57:32] ppdet.engine INFO: Epoch: [72] [120/229] learning_rate: 0.345040 loss_vfl: 0.896859 loss_bbox: 0.343465 loss_dfl: 0.202502 loss: 1.455116 eta: 2 days, 2:02:38 batch_cost: 3.3681 data_cost: 0.0024 ips: 38.0031 images/s [10/15 15:58:42] ppdet.engine INFO: Epoch: [72] [140/229] learning_rate: 0.344914 loss_vfl: 0.887723 loss_bbox: 0.349672 loss_dfl: 0.206540 loss: 1.463944 eta: 2 days, 2:01:21 batch_cost: 3.3353 data_cost: 0.0025 ips: 38.3777 images/s [10/15 15:59:52] ppdet.engine INFO: Epoch: [72] [160/229] learning_rate: 0.344788 loss_vfl: 0.902278 loss_bbox: 0.330504 loss_dfl: 0.202196 loss: 1.436417 eta: 2 days, 2:00:07 batch_cost: 3.3770 data_cost: 0.0033 ips: 37.9039 images/s [10/15 16:01:03] ppdet.engine INFO: Epoch: [72] [180/229] learning_rate: 0.344662 loss_vfl: 0.915423 loss_bbox: 0.358436 loss_dfl: 0.208960 loss: 1.462355 eta: 2 days, 1:58:53 batch_cost: 3.3864 data_cost: 0.0024 ips: 37.7984 images/s [10/15 16:02:13] ppdet.engine INFO: Epoch: [72] [200/229] learning_rate: 0.344535 loss_vfl: 0.884871 loss_bbox: 0.358773 loss_dfl: 0.207689 loss: 1.437083 eta: 2 days, 1:57:36 batch_cost: 3.3268 data_cost: 0.0023 ips: 38.4757 images/s [10/15 16:03:21] ppdet.engine INFO: Epoch: [72] [220/229] learning_rate: 0.344409 loss_vfl: 0.892096 loss_bbox: 0.359515 loss_dfl: 0.215040 loss: 1.469790 eta: 2 days, 1:56:16 batch_cost: 3.2827 data_cost: 0.0024 ips: 38.9922 images/s [10/15 16:04:14] ppdet.engine INFO: Epoch: [73] [ 0/229] learning_rate: 0.344352 loss_vfl: 0.897475 loss_bbox: 0.351344 loss_dfl: 0.199398 loss: 1.456688 eta: 2 days, 1:56:39 batch_cost: 4.1885 data_cost: 0.5452 ips: 30.5596 images/s [10/15 16:05:28] ppdet.engine INFO: Epoch: [73] [ 20/229] learning_rate: 0.344225 loss_vfl: 0.901116 loss_bbox: 0.349168 loss_dfl: 0.208918 loss: 1.460416 eta: 2 days, 1:55:33 batch_cost: 3.5195 data_cost: 0.0034 ips: 36.3690 images/s [10/15 16:06:41] ppdet.engine INFO: Epoch: [73] [ 40/229] learning_rate: 0.344099 loss_vfl: 0.905079 loss_bbox: 0.360323 loss_dfl: 0.215011 loss: 1.475905 eta: 2 days, 1:54:26 batch_cost: 3.4903 data_cost: 0.0025 ips: 36.6735 images/s [10/15 16:07:52] ppdet.engine INFO: Epoch: [73] [ 60/229] learning_rate: 0.343972 loss_vfl: 0.906023 loss_bbox: 0.351501 loss_dfl: 0.205290 loss: 1.460054 eta: 2 days, 1:53:14 batch_cost: 3.4018 data_cost: 0.0024 ips: 37.6275 images/s [10/15 16:09:04] ppdet.engine INFO: Epoch: [73] [ 80/229] learning_rate: 0.343845 loss_vfl: 0.905316 loss_bbox: 0.347475 loss_dfl: 0.212015 loss: 1.473205 eta: 2 days, 1:52:02 batch_cost: 3.4281 data_cost: 0.0026 ips: 37.3386 images/s [10/15 16:10:13] ppdet.engine INFO: Epoch: [73] [100/229] learning_rate: 0.343718 loss_vfl: 0.903399 loss_bbox: 0.348622 loss_dfl: 0.214716 loss: 1.480884 eta: 2 days, 1:50:45 batch_cost: 3.3217 data_cost: 0.0025 ips: 38.5348 images/s [10/15 16:11:24] ppdet.engine INFO: Epoch: [73] [120/229] learning_rate: 0.343590 loss_vfl: 0.904316 loss_bbox: 0.353753 loss_dfl: 0.208152 loss: 1.452225 eta: 2 days, 1:49:32 batch_cost: 3.3934 data_cost: 0.0024 ips: 37.7200 images/s [10/15 16:12:35] ppdet.engine INFO: Epoch: [73] [140/229] learning_rate: 0.343463 loss_vfl: 0.906534 loss_bbox: 0.362090 loss_dfl: 0.218199 loss: 1.484984 eta: 2 days, 1:48:20 batch_cost: 3.4212 data_cost: 0.0024 ips: 37.4133 images/s [10/15 16:13:45] ppdet.engine INFO: Epoch: [73] [160/229] learning_rate: 0.343335 loss_vfl: 0.918437 loss_bbox: 0.347255 loss_dfl: 0.213064 loss: 1.465577 eta: 2 days, 1:47:05 batch_cost: 3.3594 data_cost: 0.0023 ips: 38.1025 images/s [10/15 16:14:57] ppdet.engine INFO: Epoch: [73] [180/229] learning_rate: 0.343208 loss_vfl: 0.925782 loss_bbox: 0.354555 loss_dfl: 0.210584 loss: 1.477849 eta: 2 days, 1:45:55 batch_cost: 3.4444 data_cost: 0.0024 ips: 37.1618 images/s [10/15 16:16:07] ppdet.engine INFO: Epoch: [73] [200/229] learning_rate: 0.343080 loss_vfl: 0.896866 loss_bbox: 0.356703 loss_dfl: 0.208115 loss: 1.458188 eta: 2 days, 1:44:40 batch_cost: 3.3664 data_cost: 0.0025 ips: 38.0226 images/s [10/15 16:17:14] ppdet.engine INFO: Epoch: [73] [220/229] learning_rate: 0.342952 loss_vfl: 0.897756 loss_bbox: 0.349350 loss_dfl: 0.208978 loss: 1.462374 eta: 2 days, 1:43:15 batch_cost: 3.2015 data_cost: 0.0023 ips: 39.9807 images/s [10/15 16:18:09] ppdet.engine INFO: Epoch: [74] [ 0/229] learning_rate: 0.342895 loss_vfl: 0.905500 loss_bbox: 0.359921 loss_dfl: 0.214741 loss: 1.474970 eta: 2 days, 1:43:43 batch_cost: 4.1970 data_cost: 0.5067 ips: 30.4980 images/s [10/15 16:19:19] ppdet.engine INFO: Epoch: [74] [ 20/229] learning_rate: 0.342766 loss_vfl: 0.899187 loss_bbox: 0.361854 loss_dfl: 0.213994 loss: 1.474336 eta: 2 days, 1:42:28 batch_cost: 3.3585 data_cost: 0.0023 ips: 38.1124 images/s [10/15 16:20:30] ppdet.engine INFO: Epoch: [74] [ 40/229] learning_rate: 0.342638 loss_vfl: 0.902600 loss_bbox: 0.337383 loss_dfl: 0.204701 loss: 1.450006 eta: 2 days, 1:41:15 batch_cost: 3.3928 data_cost: 0.0024 ips: 37.7264 images/s [10/15 16:21:41] ppdet.engine INFO: Epoch: [74] [ 60/229] learning_rate: 0.342510 loss_vfl: 0.911219 loss_bbox: 0.355126 loss_dfl: 0.213665 loss: 1.471781 eta: 2 days, 1:40:03 batch_cost: 3.4164 data_cost: 0.0024 ips: 37.4659 images/s [10/15 16:22:54] ppdet.engine INFO: Epoch: [74] [ 80/229] learning_rate: 0.342382 loss_vfl: 0.894428 loss_bbox: 0.337233 loss_dfl: 0.204104 loss: 1.447295 eta: 2 days, 1:38:56 batch_cost: 3.4971 data_cost: 0.0024 ips: 36.6013 images/s [10/15 16:24:05] ppdet.engine INFO: Epoch: [74] [100/229] learning_rate: 0.342253 loss_vfl: 0.900002 loss_bbox: 0.336426 loss_dfl: 0.204383 loss: 1.446810 eta: 2 days, 1:37:45 batch_cost: 3.4229 data_cost: 0.0023 ips: 37.3948 images/s [10/15 16:25:17] ppdet.engine INFO: Epoch: [74] [120/229] learning_rate: 0.342125 loss_vfl: 0.907672 loss_bbox: 0.356846 loss_dfl: 0.211177 loss: 1.475288 eta: 2 days, 1:36:34 batch_cost: 3.4312 data_cost: 0.0024 ips: 37.3042 images/s [10/15 16:26:28] ppdet.engine INFO: Epoch: [74] [140/229] learning_rate: 0.341996 loss_vfl: 0.915180 loss_bbox: 0.354677 loss_dfl: 0.212334 loss: 1.482892 eta: 2 days, 1:35:21 batch_cost: 3.3979 data_cost: 0.0024 ips: 37.6698 images/s [10/15 16:27:40] ppdet.engine INFO: Epoch: [74] [160/229] learning_rate: 0.341867 loss_vfl: 0.895305 loss_bbox: 0.355678 loss_dfl: 0.206835 loss: 1.453987 eta: 2 days, 1:34:12 batch_cost: 3.4618 data_cost: 0.0024 ips: 36.9752 images/s [10/15 16:28:51] ppdet.engine INFO: Epoch: [74] [180/229] learning_rate: 0.341738 loss_vfl: 0.901925 loss_bbox: 0.346659 loss_dfl: 0.205108 loss: 1.468873 eta: 2 days, 1:32:59 batch_cost: 3.3974 data_cost: 0.0023 ips: 37.6755 images/s [10/15 16:30:01] ppdet.engine INFO: Epoch: [74] [200/229] learning_rate: 0.341609 loss_vfl: 0.913273 loss_bbox: 0.339225 loss_dfl: 0.202446 loss: 1.454350 eta: 2 days, 1:31:45 batch_cost: 3.3796 data_cost: 0.0023 ips: 37.8739 images/s [10/15 16:31:12] ppdet.engine INFO: Epoch: [74] [220/229] learning_rate: 0.341480 loss_vfl: 0.901611 loss_bbox: 0.351198 loss_dfl: 0.206689 loss: 1.448916 eta: 2 days, 1:30:31 batch_cost: 3.3779 data_cost: 0.0024 ips: 37.8933 images/s [10/15 16:32:07] ppdet.engine INFO: Epoch: [75] [ 0/229] learning_rate: 0.341421 loss_vfl: 0.908129 loss_bbox: 0.349879 loss_dfl: 0.211996 loss: 1.457456 eta: 2 days, 1:30:57 batch_cost: 4.3136 data_cost: 0.4963 ips: 29.6735 images/s [10/15 16:33:21] ppdet.engine INFO: Epoch: [75] [ 20/229] learning_rate: 0.341292 loss_vfl: 0.897413 loss_bbox: 0.354198 loss_dfl: 0.209593 loss: 1.456193 eta: 2 days, 1:29:53 batch_cost: 3.5545 data_cost: 0.0029 ips: 36.0106 images/s [10/15 16:34:32] ppdet.engine INFO: Epoch: [75] [ 40/229] learning_rate: 0.341162 loss_vfl: 0.900587 loss_bbox: 0.340734 loss_dfl: 0.203650 loss: 1.438040 eta: 2 days, 1:28:43 batch_cost: 3.4402 data_cost: 0.0027 ips: 37.2070 images/s [10/15 16:35:44] ppdet.engine INFO: Epoch: [75] [ 60/229] learning_rate: 0.341033 loss_vfl: 0.907736 loss_bbox: 0.353753 loss_dfl: 0.206593 loss: 1.470888 eta: 2 days, 1:27:32 batch_cost: 3.4292 data_cost: 0.0024 ips: 37.3260 images/s [10/15 16:36:56] ppdet.engine INFO: Epoch: [75] [ 80/229] learning_rate: 0.340903 loss_vfl: 0.891923 loss_bbox: 0.343265 loss_dfl: 0.204560 loss: 1.439435 eta: 2 days, 1:26:23 batch_cost: 3.4588 data_cost: 0.0024 ips: 37.0073 images/s [10/15 16:38:08] ppdet.engine INFO: Epoch: [75] [100/229] learning_rate: 0.340773 loss_vfl: 0.891751 loss_bbox: 0.356006 loss_dfl: 0.204006 loss: 1.447505 eta: 2 days, 1:25:13 batch_cost: 3.4463 data_cost: 0.0024 ips: 37.1415 images/s [10/15 16:39:19] ppdet.engine INFO: Epoch: [75] [120/229] learning_rate: 0.340643 loss_vfl: 0.904655 loss_bbox: 0.340526 loss_dfl: 0.206346 loss: 1.460539 eta: 2 days, 1:24:00 batch_cost: 3.4044 data_cost: 0.0023 ips: 37.5984 images/s [10/15 16:40:30] ppdet.engine INFO: Epoch: [75] [140/229] learning_rate: 0.340513 loss_vfl: 0.904484 loss_bbox: 0.333534 loss_dfl: 0.199181 loss: 1.444342 eta: 2 days, 1:22:47 batch_cost: 3.3903 data_cost: 0.0023 ips: 37.7548 images/s [10/15 16:41:41] ppdet.engine INFO: Epoch: [75] [160/229] learning_rate: 0.340383 loss_vfl: 0.918668 loss_bbox: 0.349437 loss_dfl: 0.208333 loss: 1.474100 eta: 2 days, 1:21:35 batch_cost: 3.4220 data_cost: 0.0023 ips: 37.4055 images/s [10/15 16:42:52] ppdet.engine INFO: Epoch: [75] [180/229] learning_rate: 0.340253 loss_vfl: 0.914528 loss_bbox: 0.342609 loss_dfl: 0.206677 loss: 1.457971 eta: 2 days, 1:20:23 batch_cost: 3.4023 data_cost: 0.0024 ips: 37.6211 images/s [10/15 16:44:02] ppdet.engine INFO: Epoch: [75] [200/229] learning_rate: 0.340122 loss_vfl: 0.902741 loss_bbox: 0.351323 loss_dfl: 0.208375 loss: 1.469592 eta: 2 days, 1:19:08 batch_cost: 3.3683 data_cost: 0.0023 ips: 38.0016 images/s [10/15 16:45:08] ppdet.engine INFO: Epoch: [75] [220/229] learning_rate: 0.339991 loss_vfl: 0.903177 loss_bbox: 0.372902 loss_dfl: 0.216602 loss: 1.471965 eta: 2 days, 1:17:40 batch_cost: 3.1399 data_cost: 0.0023 ips: 40.7659 images/s [10/15 16:46:01] ppdet.engine INFO: Epoch: [76] [ 0/229] learning_rate: 0.339933 loss_vfl: 0.913180 loss_bbox: 0.343070 loss_dfl: 0.205777 loss: 1.463242 eta: 2 days, 1:18:02 batch_cost: 4.1354 data_cost: 0.3605 ips: 30.9525 images/s [10/15 16:47:12] ppdet.engine INFO: Epoch: [76] [ 20/229] learning_rate: 0.339802 loss_vfl: 0.891398 loss_bbox: 0.364636 loss_dfl: 0.214907 loss: 1.474165 eta: 2 days, 1:16:49 batch_cost: 3.4035 data_cost: 0.0027 ips: 37.6083 images/s [10/15 16:48:25] ppdet.engine INFO: Epoch: [76] [ 40/229] learning_rate: 0.339671 loss_vfl: 0.912214 loss_bbox: 0.349585 loss_dfl: 0.202930 loss: 1.479554 eta: 2 days, 1:15:41 batch_cost: 3.4835 data_cost: 0.0029 ips: 36.7449 images/s [10/15 16:49:37] ppdet.engine INFO: Epoch: [76] [ 60/229] learning_rate: 0.339540 loss_vfl: 0.897547 loss_bbox: 0.344982 loss_dfl: 0.208313 loss: 1.459801 eta: 2 days, 1:14:31 batch_cost: 3.4422 data_cost: 0.0028 ips: 37.1857 images/s [10/15 16:50:49] ppdet.engine INFO: Epoch: [76] [ 80/229] learning_rate: 0.339409 loss_vfl: 0.906167 loss_bbox: 0.348376 loss_dfl: 0.207141 loss: 1.466831 eta: 2 days, 1:13:22 batch_cost: 3.4548 data_cost: 0.0026 ips: 37.0497 images/s [10/15 16:51:59] ppdet.engine INFO: Epoch: [76] [100/229] learning_rate: 0.339278 loss_vfl: 0.900297 loss_bbox: 0.367384 loss_dfl: 0.211306 loss: 1.490474 eta: 2 days, 1:12:08 batch_cost: 3.3800 data_cost: 0.0024 ips: 37.8702 images/s [10/15 16:53:11] ppdet.engine INFO: Epoch: [76] [120/229] learning_rate: 0.339146 loss_vfl: 0.907012 loss_bbox: 0.341538 loss_dfl: 0.198502 loss: 1.434208 eta: 2 days, 1:10:57 batch_cost: 3.4263 data_cost: 0.0025 ips: 37.3579 images/s [10/15 16:54:22] ppdet.engine INFO: Epoch: [76] [140/229] learning_rate: 0.339015 loss_vfl: 0.898819 loss_bbox: 0.355602 loss_dfl: 0.211464 loss: 1.468589 eta: 2 days, 1:09:43 batch_cost: 3.3881 data_cost: 0.0024 ips: 37.7795 images/s [10/15 16:55:34] ppdet.engine INFO: Epoch: [76] [160/229] learning_rate: 0.338883 loss_vfl: 0.891663 loss_bbox: 0.342917 loss_dfl: 0.203099 loss: 1.440988 eta: 2 days, 1:08:36 batch_cost: 3.4945 data_cost: 0.0024 ips: 36.6286 images/s [10/15 16:56:46] ppdet.engine INFO: Epoch: [76] [180/229] learning_rate: 0.338752 loss_vfl: 0.907085 loss_bbox: 0.334657 loss_dfl: 0.202158 loss: 1.459083 eta: 2 days, 1:07:26 batch_cost: 3.4457 data_cost: 0.0023 ips: 37.1481 images/s [10/15 16:57:57] ppdet.engine INFO: Epoch: [76] [200/229] learning_rate: 0.338620 loss_vfl: 0.909282 loss_bbox: 0.337378 loss_dfl: 0.206048 loss: 1.467312 eta: 2 days, 1:06:13 batch_cost: 3.4003 data_cost: 0.0023 ips: 37.6439 images/s [10/15 16:59:06] ppdet.engine INFO: Epoch: [76] [220/229] learning_rate: 0.338488 loss_vfl: 0.896876 loss_bbox: 0.352875 loss_dfl: 0.203974 loss: 1.450127 eta: 2 days, 1:04:54 batch_cost: 3.2817 data_cost: 0.0023 ips: 39.0039 images/s [10/15 17:00:00] ppdet.engine INFO: Epoch: [77] [ 0/229] learning_rate: 0.338429 loss_vfl: 0.904716 loss_bbox: 0.355792 loss_dfl: 0.210844 loss: 1.472453 eta: 2 days, 1:05:15 batch_cost: 4.1987 data_cost: 0.6932 ips: 30.4854 images/s [10/15 17:01:11] ppdet.engine INFO: Epoch: [77] [ 20/229] learning_rate: 0.338297 loss_vfl: 0.897201 loss_bbox: 0.364446 loss_dfl: 0.210588 loss: 1.463898 eta: 2 days, 1:04:03 batch_cost: 3.4097 data_cost: 0.0028 ips: 37.5404 images/s [10/15 17:02:22] ppdet.engine INFO: Epoch: [77] [ 40/229] learning_rate: 0.338164 loss_vfl: 0.902874 loss_bbox: 0.353784 loss_dfl: 0.214516 loss: 1.472516 eta: 2 days, 1:02:51 batch_cost: 3.4033 data_cost: 0.0028 ips: 37.6105 images/s [10/15 17:03:32] ppdet.engine INFO: Epoch: [77] [ 60/229] learning_rate: 0.338032 loss_vfl: 0.902014 loss_bbox: 0.346513 loss_dfl: 0.206256 loss: 1.460555 eta: 2 days, 1:01:36 batch_cost: 3.3725 data_cost: 0.0025 ips: 37.9536 images/s [10/15 17:04:45] ppdet.engine INFO: Epoch: [77] [ 80/229] learning_rate: 0.337900 loss_vfl: 0.902304 loss_bbox: 0.346010 loss_dfl: 0.208726 loss: 1.461021 eta: 2 days, 1:00:27 batch_cost: 3.4568 data_cost: 0.0024 ips: 37.0284 images/s [10/15 17:05:55] ppdet.engine INFO: Epoch: [77] [100/229] learning_rate: 0.337767 loss_vfl: 0.899611 loss_bbox: 0.352211 loss_dfl: 0.210424 loss: 1.438941 eta: 2 days, 0:59:12 batch_cost: 3.3652 data_cost: 0.0023 ips: 38.0365 images/s [10/15 17:07:06] ppdet.engine INFO: Epoch: [77] [120/229] learning_rate: 0.337634 loss_vfl: 0.896145 loss_bbox: 0.349394 loss_dfl: 0.204839 loss: 1.449719 eta: 2 days, 0:58:02 batch_cost: 3.4382 data_cost: 0.0026 ips: 37.2283 images/s [10/15 17:08:16] ppdet.engine INFO: Epoch: [77] [140/229] learning_rate: 0.337502 loss_vfl: 0.894833 loss_bbox: 0.351955 loss_dfl: 0.212142 loss: 1.459910 eta: 2 days, 0:56:47 batch_cost: 3.3540 data_cost: 0.0026 ips: 38.1636 images/s [10/15 17:09:27] ppdet.engine INFO: Epoch: [77] [160/229] learning_rate: 0.337369 loss_vfl: 0.904298 loss_bbox: 0.348540 loss_dfl: 0.207403 loss: 1.458595 eta: 2 days, 0:55:31 batch_cost: 3.3577 data_cost: 0.0026 ips: 38.1211 images/s [10/15 17:10:39] ppdet.engine INFO: Epoch: [77] [180/229] learning_rate: 0.337236 loss_vfl: 0.910894 loss_bbox: 0.339644 loss_dfl: 0.203820 loss: 1.458196 eta: 2 days, 0:54:24 batch_cost: 3.4837 data_cost: 0.0025 ips: 36.7430 images/s [10/15 17:11:50] ppdet.engine INFO: Epoch: [77] [200/229] learning_rate: 0.337103 loss_vfl: 0.906018 loss_bbox: 0.335361 loss_dfl: 0.197627 loss: 1.431415 eta: 2 days, 0:53:11 batch_cost: 3.3909 data_cost: 0.0025 ips: 37.7486 images/s [10/15 17:12:57] ppdet.engine INFO: Epoch: [77] [220/229] learning_rate: 0.336969 loss_vfl: 0.907337 loss_bbox: 0.349454 loss_dfl: 0.204676 loss: 1.449041 eta: 2 days, 0:51:46 batch_cost: 3.1964 data_cost: 0.0025 ips: 40.0452 images/s [10/15 17:13:52] ppdet.engine INFO: Epoch: [78] [ 0/229] learning_rate: 0.336909 loss_vfl: 0.895233 loss_bbox: 0.350128 loss_dfl: 0.204676 loss: 1.448282 eta: 2 days, 0:52:11 batch_cost: 4.2018 data_cost: 0.7141 ips: 30.4630 images/s [10/15 17:15:06] ppdet.engine INFO: Epoch: [78] [ 20/229] learning_rate: 0.336776 loss_vfl: 0.908236 loss_bbox: 0.342572 loss_dfl: 0.214713 loss: 1.468838 eta: 2 days, 0:51:06 batch_cost: 3.5394 data_cost: 0.0026 ips: 36.1645 images/s [10/15 17:16:18] ppdet.engine INFO: Epoch: [78] [ 40/229] learning_rate: 0.336643 loss_vfl: 0.898209 loss_bbox: 0.342203 loss_dfl: 0.202776 loss: 1.444214 eta: 2 days, 0:49:57 batch_cost: 3.4703 data_cost: 0.0023 ips: 36.8846 images/s [10/15 17:17:30] ppdet.engine INFO: Epoch: [78] [ 60/229] learning_rate: 0.336509 loss_vfl: 0.907220 loss_bbox: 0.341863 loss_dfl: 0.207795 loss: 1.445226 eta: 2 days, 0:48:47 batch_cost: 3.4362 data_cost: 0.0024 ips: 37.2509 images/s [10/15 17:18:41] ppdet.engine INFO: Epoch: [78] [ 80/229] learning_rate: 0.336375 loss_vfl: 0.904359 loss_bbox: 0.341072 loss_dfl: 0.206990 loss: 1.445436 eta: 2 days, 0:47:36 batch_cost: 3.4364 data_cost: 0.0024 ips: 37.2480 images/s [10/15 17:19:51] ppdet.engine INFO: Epoch: [78] [100/229] learning_rate: 0.336241 loss_vfl: 0.904927 loss_bbox: 0.346437 loss_dfl: 0.199243 loss: 1.441618 eta: 2 days, 0:46:19 batch_cost: 3.3185 data_cost: 0.0028 ips: 38.5714 images/s [10/15 17:21:02] ppdet.engine INFO: Epoch: [78] [120/229] learning_rate: 0.336107 loss_vfl: 0.899336 loss_bbox: 0.350247 loss_dfl: 0.209932 loss: 1.470164 eta: 2 days, 0:45:07 batch_cost: 3.4025 data_cost: 0.0026 ips: 37.6199 images/s [10/15 17:22:12] ppdet.engine INFO: Epoch: [78] [140/229] learning_rate: 0.335973 loss_vfl: 0.911526 loss_bbox: 0.351892 loss_dfl: 0.204514 loss: 1.457439 eta: 2 days, 0:43:51 batch_cost: 3.3563 data_cost: 0.0026 ips: 38.1373 images/s [10/15 17:23:23] ppdet.engine INFO: Epoch: [78] [160/229] learning_rate: 0.335839 loss_vfl: 0.897265 loss_bbox: 0.351523 loss_dfl: 0.203436 loss: 1.463269 eta: 2 days, 0:42:40 batch_cost: 3.4269 data_cost: 0.0025 ips: 37.3521 images/s [10/15 17:24:33] ppdet.engine INFO: Epoch: [78] [180/229] learning_rate: 0.335705 loss_vfl: 0.898303 loss_bbox: 0.363405 loss_dfl: 0.212947 loss: 1.468756 eta: 2 days, 0:41:24 batch_cost: 3.3249 data_cost: 0.0024 ips: 38.4978 images/s [10/15 17:25:44] ppdet.engine INFO: Epoch: [78] [200/229] learning_rate: 0.335570 loss_vfl: 0.910688 loss_bbox: 0.354523 loss_dfl: 0.203533 loss: 1.455970 eta: 2 days, 0:40:11 batch_cost: 3.4021 data_cost: 0.0023 ips: 37.6239 images/s [10/15 17:26:52] ppdet.engine INFO: Epoch: [78] [220/229] learning_rate: 0.335436 loss_vfl: 0.901801 loss_bbox: 0.346407 loss_dfl: 0.211063 loss: 1.464798 eta: 2 days, 0:38:52 batch_cost: 3.2761 data_cost: 0.0024 ips: 39.0713 images/s [10/15 17:27:46] ppdet.engine INFO: Epoch: [79] [ 0/229] learning_rate: 0.335375 loss_vfl: 0.912358 loss_bbox: 0.351569 loss_dfl: 0.215713 loss: 1.477720 eta: 2 days, 0:39:10 batch_cost: 4.2176 data_cost: 0.4376 ips: 30.3490 images/s [10/15 17:28:58] ppdet.engine INFO: Epoch: [79] [ 20/229] learning_rate: 0.335240 loss_vfl: 0.897645 loss_bbox: 0.342799 loss_dfl: 0.207073 loss: 1.446603 eta: 2 days, 0:38:01 batch_cost: 3.4601 data_cost: 0.0028 ips: 36.9934 images/s [10/15 17:30:10] ppdet.engine INFO: Epoch: [79] [ 40/229] learning_rate: 0.335106 loss_vfl: 0.908507 loss_bbox: 0.324406 loss_dfl: 0.193220 loss: 1.435047 eta: 2 days, 0:36:51 batch_cost: 3.4482 data_cost: 0.0024 ips: 37.1208 images/s [10/15 17:31:20] ppdet.engine INFO: Epoch: [79] [ 60/229] learning_rate: 0.334971 loss_vfl: 0.885343 loss_bbox: 0.347390 loss_dfl: 0.208042 loss: 1.451453 eta: 2 days, 0:35:38 batch_cost: 3.3984 data_cost: 0.0024 ips: 37.6646 images/s [10/15 17:32:30] ppdet.engine INFO: Epoch: [79] [ 80/229] learning_rate: 0.334836 loss_vfl: 0.892057 loss_bbox: 0.341562 loss_dfl: 0.206546 loss: 1.450511 eta: 2 days, 0:34:22 batch_cost: 3.3405 data_cost: 0.0024 ips: 38.3176 images/s [10/15 17:33:40] ppdet.engine INFO: Epoch: [79] [100/229] learning_rate: 0.334701 loss_vfl: 0.901711 loss_bbox: 0.358387 loss_dfl: 0.204524 loss: 1.453042 eta: 2 days, 0:33:08 batch_cost: 3.3680 data_cost: 0.0024 ips: 38.0047 images/s [10/15 17:34:51] ppdet.engine INFO: Epoch: [79] [120/229] learning_rate: 0.334565 loss_vfl: 0.906693 loss_bbox: 0.340092 loss_dfl: 0.204482 loss: 1.441518 eta: 2 days, 0:31:55 batch_cost: 3.4001 data_cost: 0.0028 ips: 37.6464 images/s [10/15 17:36:03] ppdet.engine INFO: Epoch: [79] [140/229] learning_rate: 0.334430 loss_vfl: 0.898332 loss_bbox: 0.349801 loss_dfl: 0.213185 loss: 1.463361 eta: 2 days, 0:30:45 batch_cost: 3.4372 data_cost: 0.0025 ips: 37.2398 images/s [10/15 17:37:13] ppdet.engine INFO: Epoch: [79] [160/229] learning_rate: 0.334294 loss_vfl: 0.903083 loss_bbox: 0.365292 loss_dfl: 0.206105 loss: 1.477909 eta: 2 days, 0:29:31 batch_cost: 3.3747 data_cost: 0.0024 ips: 37.9287 images/s [10/15 17:38:25] ppdet.engine INFO: Epoch: [79] [180/229] learning_rate: 0.334159 loss_vfl: 0.908946 loss_bbox: 0.347136 loss_dfl: 0.206501 loss: 1.457429 eta: 2 days, 0:28:21 batch_cost: 3.4512 data_cost: 0.0024 ips: 37.0884 images/s [10/15 17:39:35] ppdet.engine INFO: Epoch: [79] [200/229] learning_rate: 0.334023 loss_vfl: 0.905126 loss_bbox: 0.365627 loss_dfl: 0.205944 loss: 1.460007 eta: 2 days, 0:27:05 batch_cost: 3.3450 data_cost: 0.0024 ips: 38.2661 images/s [10/15 17:40:41] ppdet.engine INFO: Epoch: [79] [220/229] learning_rate: 0.333887 loss_vfl: 0.897697 loss_bbox: 0.361730 loss_dfl: 0.208624 loss: 1.474789 eta: 2 days, 0:25:38 batch_cost: 3.1304 data_cost: 0.0024 ips: 40.8893 images/s [10/15 17:41:09] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 17:41:09] ppdet.engine INFO: Eval iter: 0 [10/15 17:41:49] ppdet.engine INFO: Eval iter: 100 [10/15 17:42:12] ppdet.engine INFO: Eval iter: 200 [10/15 17:42:35] ppdet.engine INFO: Eval iter: 300 [10/15 17:42:58] ppdet.engine INFO: Eval iter: 400 [10/15 17:43:21] ppdet.engine INFO: Eval iter: 500 [10/15 17:43:43] ppdet.engine INFO: Eval iter: 600 [10/15 17:44:04] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.94s) creating index... index created! [10/15 17:44:05] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.74s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=96.63s). Accumulating evaluation results... DONE (t=16.84s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.248 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.381 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.255 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 ] = 0.245 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.429 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 ] = 0.378 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.403 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 ] = 0.439 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.668 [10/15 17:46:05] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.906956724512927 [10/15 17:46:05] ppdet.engine INFO: Best test bbox ap is 0.248. [10/15 17:46:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 17:46:09] ppdet.engine INFO: Epoch: [80] [ 0/229] learning_rate: 0.333826 loss_vfl: 0.897945 loss_bbox: 0.359302 loss_dfl: 0.208014 loss: 1.465383 eta: 2 days, 0:24:52 batch_cost: 2.9511 data_cost: 0.0025 ips: 43.3738 images/s [10/15 17:47:22] ppdet.engine INFO: Epoch: [80] [ 20/229] learning_rate: 0.333690 loss_vfl: 0.902671 loss_bbox: 0.345253 loss_dfl: 0.206407 loss: 1.442794 eta: 2 days, 0:23:46 batch_cost: 3.5038 data_cost: 0.0028 ips: 36.5321 images/s [10/15 17:48:33] ppdet.engine INFO: Epoch: [80] [ 40/229] learning_rate: 0.333554 loss_vfl: 0.889598 loss_bbox: 0.342451 loss_dfl: 0.204633 loss: 1.441591 eta: 2 days, 0:22:34 batch_cost: 3.4123 data_cost: 0.0026 ips: 37.5109 images/s [10/15 17:49:43] ppdet.engine INFO: Epoch: [80] [ 60/229] learning_rate: 0.333418 loss_vfl: 0.893561 loss_bbox: 0.353038 loss_dfl: 0.210599 loss: 1.475514 eta: 2 days, 0:21:21 batch_cost: 3.3847 data_cost: 0.0030 ips: 37.8173 images/s [10/15 17:50:54] ppdet.engine INFO: Epoch: [80] [ 80/229] learning_rate: 0.333281 loss_vfl: 0.897286 loss_bbox: 0.357952 loss_dfl: 0.204717 loss: 1.455995 eta: 2 days, 0:20:06 batch_cost: 3.3609 data_cost: 0.0030 ips: 38.0851 images/s [10/15 17:52:04] ppdet.engine INFO: Epoch: [80] [100/229] learning_rate: 0.333145 loss_vfl: 0.904894 loss_bbox: 0.349780 loss_dfl: 0.206758 loss: 1.463087 eta: 2 days, 0:18:52 batch_cost: 3.3687 data_cost: 0.0023 ips: 37.9973 images/s [10/15 17:53:16] ppdet.engine INFO: Epoch: [80] [120/229] learning_rate: 0.333009 loss_vfl: 0.897671 loss_bbox: 0.347377 loss_dfl: 0.206950 loss: 1.442503 eta: 2 days, 0:17:41 batch_cost: 3.4186 data_cost: 0.0023 ips: 37.4427 images/s [10/15 17:54:27] ppdet.engine INFO: Epoch: [80] [140/229] learning_rate: 0.332872 loss_vfl: 0.916585 loss_bbox: 0.337946 loss_dfl: 0.206252 loss: 1.457251 eta: 2 days, 0:16:30 batch_cost: 3.4343 data_cost: 0.0024 ips: 37.2707 images/s [10/15 17:55:40] ppdet.engine INFO: Epoch: [80] [160/229] learning_rate: 0.332735 loss_vfl: 0.906835 loss_bbox: 0.339531 loss_dfl: 0.202072 loss: 1.427162 eta: 2 days, 0:15:22 batch_cost: 3.4807 data_cost: 0.0027 ips: 36.7742 images/s [10/15 17:56:52] ppdet.engine INFO: Epoch: [80] [180/229] learning_rate: 0.332598 loss_vfl: 0.908927 loss_bbox: 0.342252 loss_dfl: 0.204621 loss: 1.458316 eta: 2 days, 0:14:14 batch_cost: 3.4816 data_cost: 0.0024 ips: 36.7643 images/s [10/15 17:58:03] ppdet.engine INFO: Epoch: [80] [200/229] learning_rate: 0.332461 loss_vfl: 0.892776 loss_bbox: 0.351695 loss_dfl: 0.206997 loss: 1.460695 eta: 2 days, 0:13:01 batch_cost: 3.3867 data_cost: 0.0024 ips: 37.7951 images/s [10/15 17:59:10] ppdet.engine INFO: Epoch: [80] [220/229] learning_rate: 0.332324 loss_vfl: 0.917558 loss_bbox: 0.340652 loss_dfl: 0.204265 loss: 1.447551 eta: 2 days, 0:11:39 batch_cost: 3.2166 data_cost: 0.0024 ips: 39.7931 images/s [10/15 18:00:04] ppdet.engine INFO: Epoch: [81] [ 0/229] learning_rate: 0.332262 loss_vfl: 0.911811 loss_bbox: 0.338567 loss_dfl: 0.206517 loss: 1.453656 eta: 2 days, 0:11:55 batch_cost: 4.0929 data_cost: 0.4136 ips: 31.2739 images/s [10/15 18:01:15] ppdet.engine INFO: Epoch: [81] [ 20/229] learning_rate: 0.332125 loss_vfl: 0.898104 loss_bbox: 0.348194 loss_dfl: 0.209495 loss: 1.454551 eta: 2 days, 0:10:43 batch_cost: 3.4030 data_cost: 0.0033 ips: 37.6143 images/s [10/15 18:02:26] ppdet.engine INFO: Epoch: [81] [ 40/229] learning_rate: 0.331988 loss_vfl: 0.903228 loss_bbox: 0.365561 loss_dfl: 0.209433 loss: 1.477168 eta: 2 days, 0:09:31 batch_cost: 3.4050 data_cost: 0.0026 ips: 37.5921 images/s [10/15 18:03:37] ppdet.engine INFO: Epoch: [81] [ 60/229] learning_rate: 0.331850 loss_vfl: 0.907336 loss_bbox: 0.339825 loss_dfl: 0.206837 loss: 1.444051 eta: 2 days, 0:08:19 batch_cost: 3.4102 data_cost: 0.0025 ips: 37.5347 images/s [10/15 18:04:49] ppdet.engine INFO: Epoch: [81] [ 80/229] learning_rate: 0.331713 loss_vfl: 0.897915 loss_bbox: 0.352033 loss_dfl: 0.209896 loss: 1.471607 eta: 2 days, 0:07:09 batch_cost: 3.4525 data_cost: 0.0025 ips: 37.0747 images/s [10/15 18:05:59] ppdet.engine INFO: Epoch: [81] [100/229] learning_rate: 0.331575 loss_vfl: 0.884234 loss_bbox: 0.357428 loss_dfl: 0.204777 loss: 1.459446 eta: 2 days, 0:05:55 batch_cost: 3.3690 data_cost: 0.0028 ips: 37.9930 images/s [10/15 18:07:11] ppdet.engine INFO: Epoch: [81] [120/229] learning_rate: 0.331437 loss_vfl: 0.897715 loss_bbox: 0.350604 loss_dfl: 0.213202 loss: 1.464613 eta: 2 days, 0:04:45 batch_cost: 3.4372 data_cost: 0.0025 ips: 37.2399 images/s [10/15 18:08:22] ppdet.engine INFO: Epoch: [81] [140/229] learning_rate: 0.331299 loss_vfl: 0.901691 loss_bbox: 0.351655 loss_dfl: 0.207057 loss: 1.450348 eta: 2 days, 0:03:33 batch_cost: 3.4107 data_cost: 0.0027 ips: 37.5286 images/s [10/15 18:09:35] ppdet.engine INFO: Epoch: [81] [160/229] learning_rate: 0.331161 loss_vfl: 0.898210 loss_bbox: 0.346356 loss_dfl: 0.206901 loss: 1.458086 eta: 2 days, 0:02:26 batch_cost: 3.4986 data_cost: 0.0025 ips: 36.5862 images/s [10/15 18:10:47] ppdet.engine INFO: Epoch: [81] [180/229] learning_rate: 0.331023 loss_vfl: 0.895635 loss_bbox: 0.345291 loss_dfl: 0.209398 loss: 1.453852 eta: 2 days, 0:01:15 batch_cost: 3.4273 data_cost: 0.0024 ips: 37.3468 images/s [10/15 18:11:57] ppdet.engine INFO: Epoch: [81] [200/229] learning_rate: 0.330885 loss_vfl: 0.892314 loss_bbox: 0.358002 loss_dfl: 0.205054 loss: 1.451806 eta: 2 days, 0:00:01 batch_cost: 3.3680 data_cost: 0.0031 ips: 38.0043 images/s [10/15 18:13:04] ppdet.engine INFO: Epoch: [81] [220/229] learning_rate: 0.330746 loss_vfl: 0.903459 loss_bbox: 0.345196 loss_dfl: 0.203416 loss: 1.449836 eta: 1 day, 23:58:38 batch_cost: 3.2080 data_cost: 0.0025 ips: 39.9008 images/s [10/15 18:13:58] ppdet.engine INFO: Epoch: [82] [ 0/229] learning_rate: 0.330684 loss_vfl: 0.909463 loss_bbox: 0.345154 loss_dfl: 0.204637 loss: 1.457470 eta: 1 day, 23:58:54 batch_cost: 4.1140 data_cost: 0.6604 ips: 31.1132 images/s [10/15 18:15:11] ppdet.engine INFO: Epoch: [82] [ 20/229] learning_rate: 0.330546 loss_vfl: 0.892162 loss_bbox: 0.332631 loss_dfl: 0.198308 loss: 1.435616 eta: 1 day, 23:57:48 batch_cost: 3.5024 data_cost: 0.0030 ips: 36.5459 images/s [10/15 18:16:24] ppdet.engine INFO: Epoch: [82] [ 40/229] learning_rate: 0.330407 loss_vfl: 0.899224 loss_bbox: 0.345601 loss_dfl: 0.205589 loss: 1.453644 eta: 1 day, 23:56:40 batch_cost: 3.4938 data_cost: 0.0026 ips: 36.6363 images/s [10/15 18:17:34] ppdet.engine INFO: Epoch: [82] [ 60/229] learning_rate: 0.330268 loss_vfl: 0.888430 loss_bbox: 0.337351 loss_dfl: 0.199570 loss: 1.432396 eta: 1 day, 23:55:26 batch_cost: 3.3605 data_cost: 0.0025 ips: 38.0896 images/s [10/15 18:18:46] ppdet.engine INFO: Epoch: [82] [ 80/229] learning_rate: 0.330129 loss_vfl: 0.890247 loss_bbox: 0.334830 loss_dfl: 0.204857 loss: 1.435311 eta: 1 day, 23:54:17 batch_cost: 3.4785 data_cost: 0.0025 ips: 36.7970 images/s [10/15 18:19:58] ppdet.engine INFO: Epoch: [82] [100/229] learning_rate: 0.329990 loss_vfl: 0.899244 loss_bbox: 0.347011 loss_dfl: 0.205371 loss: 1.448653 eta: 1 day, 23:53:07 batch_cost: 3.4313 data_cost: 0.0057 ips: 37.3040 images/s [10/15 18:21:09] ppdet.engine INFO: Epoch: [82] [120/229] learning_rate: 0.329851 loss_vfl: 0.889939 loss_bbox: 0.357109 loss_dfl: 0.208613 loss: 1.472294 eta: 1 day, 23:51:53 batch_cost: 3.3791 data_cost: 0.0024 ips: 37.8794 images/s [10/15 18:22:21] ppdet.engine INFO: Epoch: [82] [140/229] learning_rate: 0.329712 loss_vfl: 0.897748 loss_bbox: 0.331576 loss_dfl: 0.202345 loss: 1.436954 eta: 1 day, 23:50:46 batch_cost: 3.4886 data_cost: 0.0025 ips: 36.6912 images/s [10/15 18:23:31] ppdet.engine INFO: Epoch: [82] [160/229] learning_rate: 0.329573 loss_vfl: 0.894308 loss_bbox: 0.342211 loss_dfl: 0.205508 loss: 1.431962 eta: 1 day, 23:49:29 batch_cost: 3.3266 data_cost: 0.0031 ips: 38.4772 images/s [10/15 18:24:43] ppdet.engine INFO: Epoch: [82] [180/229] learning_rate: 0.329434 loss_vfl: 0.901208 loss_bbox: 0.352637 loss_dfl: 0.203881 loss: 1.457594 eta: 1 day, 23:48:20 batch_cost: 3.4573 data_cost: 0.0024 ips: 37.0226 images/s [10/15 18:25:55] ppdet.engine INFO: Epoch: [82] [200/229] learning_rate: 0.329294 loss_vfl: 0.900240 loss_bbox: 0.343726 loss_dfl: 0.208532 loss: 1.467834 eta: 1 day, 23:47:11 batch_cost: 3.4685 data_cost: 0.0026 ips: 36.9037 images/s [10/15 18:27:04] ppdet.engine INFO: Epoch: [82] [220/229] learning_rate: 0.329154 loss_vfl: 0.911358 loss_bbox: 0.348784 loss_dfl: 0.209079 loss: 1.450771 eta: 1 day, 23:45:52 batch_cost: 3.2627 data_cost: 0.0038 ips: 39.2317 images/s [10/15 18:27:58] ppdet.engine INFO: Epoch: [83] [ 0/229] learning_rate: 0.329092 loss_vfl: 0.909738 loss_bbox: 0.344338 loss_dfl: 0.207297 loss: 1.456136 eta: 1 day, 23:46:08 batch_cost: 4.1649 data_cost: 0.5993 ips: 30.7333 images/s [10/15 18:29:09] ppdet.engine INFO: Epoch: [83] [ 20/229] learning_rate: 0.328952 loss_vfl: 0.888483 loss_bbox: 0.345112 loss_dfl: 0.206182 loss: 1.451505 eta: 1 day, 23:44:56 batch_cost: 3.4123 data_cost: 0.0026 ips: 37.5112 images/s [10/15 18:30:21] ppdet.engine INFO: Epoch: [83] [ 40/229] learning_rate: 0.328812 loss_vfl: 0.913047 loss_bbox: 0.332343 loss_dfl: 0.203746 loss: 1.454686 eta: 1 day, 23:43:45 batch_cost: 3.4151 data_cost: 0.0023 ips: 37.4804 images/s [10/15 18:31:31] ppdet.engine INFO: Epoch: [83] [ 60/229] learning_rate: 0.328672 loss_vfl: 0.906827 loss_bbox: 0.343320 loss_dfl: 0.206365 loss: 1.463611 eta: 1 day, 23:42:32 batch_cost: 3.3885 data_cost: 0.0024 ips: 37.7745 images/s [10/15 18:32:42] ppdet.engine INFO: Epoch: [83] [ 80/229] learning_rate: 0.328532 loss_vfl: 0.904866 loss_bbox: 0.348140 loss_dfl: 0.208232 loss: 1.469771 eta: 1 day, 23:41:19 batch_cost: 3.3938 data_cost: 0.0030 ips: 37.7159 images/s [10/15 18:33:54] ppdet.engine INFO: Epoch: [83] [100/229] learning_rate: 0.328392 loss_vfl: 0.903921 loss_bbox: 0.359434 loss_dfl: 0.212965 loss: 1.471951 eta: 1 day, 23:40:10 batch_cost: 3.4653 data_cost: 0.0031 ips: 36.9380 images/s [10/15 18:35:07] ppdet.engine INFO: Epoch: [83] [120/229] learning_rate: 0.328251 loss_vfl: 0.898521 loss_bbox: 0.336128 loss_dfl: 0.202054 loss: 1.433652 eta: 1 day, 23:39:02 batch_cost: 3.4828 data_cost: 0.0029 ips: 36.7526 images/s [10/15 18:36:19] ppdet.engine INFO: Epoch: [83] [140/229] learning_rate: 0.328111 loss_vfl: 0.896207 loss_bbox: 0.330973 loss_dfl: 0.203132 loss: 1.434515 eta: 1 day, 23:37:52 batch_cost: 3.4310 data_cost: 0.0028 ips: 37.3071 images/s [10/15 18:37:32] ppdet.engine INFO: Epoch: [83] [160/229] learning_rate: 0.327970 loss_vfl: 0.904240 loss_bbox: 0.335026 loss_dfl: 0.201881 loss: 1.437762 eta: 1 day, 23:36:45 batch_cost: 3.5141 data_cost: 0.0025 ips: 36.4249 images/s [10/15 18:38:44] ppdet.engine INFO: Epoch: [83] [180/229] learning_rate: 0.327830 loss_vfl: 0.891208 loss_bbox: 0.333330 loss_dfl: 0.201483 loss: 1.430845 eta: 1 day, 23:35:34 batch_cost: 3.4326 data_cost: 0.0025 ips: 37.2890 images/s [10/15 18:39:56] ppdet.engine INFO: Epoch: [83] [200/229] learning_rate: 0.327689 loss_vfl: 0.910448 loss_bbox: 0.322089 loss_dfl: 0.201512 loss: 1.441398 eta: 1 day, 23:34:25 batch_cost: 3.4648 data_cost: 0.0027 ips: 36.9430 images/s [10/15 18:41:04] ppdet.engine INFO: Epoch: [83] [220/229] learning_rate: 0.327548 loss_vfl: 0.906089 loss_bbox: 0.353557 loss_dfl: 0.206866 loss: 1.447063 eta: 1 day, 23:33:05 batch_cost: 3.2365 data_cost: 0.0024 ips: 39.5488 images/s [10/15 18:41:58] ppdet.engine INFO: Epoch: [84] [ 0/229] learning_rate: 0.327485 loss_vfl: 0.905067 loss_bbox: 0.353557 loss_dfl: 0.207625 loss: 1.449311 eta: 1 day, 23:33:19 batch_cost: 4.1081 data_cost: 0.4795 ips: 31.1581 images/s [10/15 18:43:10] ppdet.engine INFO: Epoch: [84] [ 20/229] learning_rate: 0.327344 loss_vfl: 0.885344 loss_bbox: 0.333480 loss_dfl: 0.198557 loss: 1.411380 eta: 1 day, 23:32:09 batch_cost: 3.4526 data_cost: 0.0029 ips: 37.0731 images/s [10/15 18:44:21] ppdet.engine INFO: Epoch: [84] [ 40/229] learning_rate: 0.327203 loss_vfl: 0.902417 loss_bbox: 0.351666 loss_dfl: 0.211847 loss: 1.465736 eta: 1 day, 23:30:59 batch_cost: 3.4390 data_cost: 0.0026 ips: 37.2196 images/s [10/15 18:45:34] ppdet.engine INFO: Epoch: [84] [ 60/229] learning_rate: 0.327061 loss_vfl: 0.892347 loss_bbox: 0.338009 loss_dfl: 0.201846 loss: 1.449228 eta: 1 day, 23:29:49 batch_cost: 3.4535 data_cost: 0.0034 ips: 37.0638 images/s [10/15 18:46:46] ppdet.engine INFO: Epoch: [84] [ 80/229] learning_rate: 0.326920 loss_vfl: 0.898533 loss_bbox: 0.338966 loss_dfl: 0.208343 loss: 1.462872 eta: 1 day, 23:28:42 batch_cost: 3.4949 data_cost: 0.0024 ips: 36.6251 images/s [10/15 18:48:00] ppdet.engine INFO: Epoch: [84] [100/229] learning_rate: 0.326779 loss_vfl: 0.899934 loss_bbox: 0.346348 loss_dfl: 0.205472 loss: 1.451330 eta: 1 day, 23:27:35 batch_cost: 3.4998 data_cost: 0.0026 ips: 36.5731 images/s [10/15 18:49:13] ppdet.engine INFO: Epoch: [84] [120/229] learning_rate: 0.326637 loss_vfl: 0.890783 loss_bbox: 0.353322 loss_dfl: 0.210343 loss: 1.449163 eta: 1 day, 23:26:27 batch_cost: 3.4944 data_cost: 0.0032 ips: 36.6300 images/s [10/15 18:50:26] ppdet.engine INFO: Epoch: [84] [140/229] learning_rate: 0.326496 loss_vfl: 0.893446 loss_bbox: 0.342059 loss_dfl: 0.203152 loss: 1.432359 eta: 1 day, 23:25:22 batch_cost: 3.5397 data_cost: 0.0027 ips: 36.1608 images/s [10/15 18:51:38] ppdet.engine INFO: Epoch: [84] [160/229] learning_rate: 0.326354 loss_vfl: 0.894632 loss_bbox: 0.352146 loss_dfl: 0.207710 loss: 1.449974 eta: 1 day, 23:24:10 batch_cost: 3.4169 data_cost: 0.0025 ips: 37.4613 images/s [10/15 18:52:50] ppdet.engine INFO: Epoch: [84] [180/229] learning_rate: 0.326212 loss_vfl: 0.903537 loss_bbox: 0.346739 loss_dfl: 0.206582 loss: 1.461443 eta: 1 day, 23:23:01 batch_cost: 3.4631 data_cost: 0.0025 ips: 36.9608 images/s [10/15 18:54:00] ppdet.engine INFO: Epoch: [84] [200/229] learning_rate: 0.326070 loss_vfl: 0.901221 loss_bbox: 0.339005 loss_dfl: 0.205066 loss: 1.449263 eta: 1 day, 23:21:47 batch_cost: 3.3547 data_cost: 0.0023 ips: 38.1557 images/s [10/15 18:55:07] ppdet.engine INFO: Epoch: [84] [220/229] learning_rate: 0.325928 loss_vfl: 0.896590 loss_bbox: 0.350586 loss_dfl: 0.207934 loss: 1.444736 eta: 1 day, 23:20:25 batch_cost: 3.2088 data_cost: 0.0023 ips: 39.8904 images/s [10/15 18:56:02] ppdet.engine INFO: Epoch: [85] [ 0/229] learning_rate: 0.325864 loss_vfl: 0.890547 loss_bbox: 0.346779 loss_dfl: 0.208769 loss: 1.444999 eta: 1 day, 23:20:41 batch_cost: 4.2274 data_cost: 0.6770 ips: 30.2788 images/s [10/15 18:57:14] ppdet.engine INFO: Epoch: [85] [ 20/229] learning_rate: 0.325722 loss_vfl: 0.888194 loss_bbox: 0.351269 loss_dfl: 0.205423 loss: 1.434514 eta: 1 day, 23:19:32 batch_cost: 3.4619 data_cost: 0.0026 ips: 36.9742 images/s [10/15 18:58:26] ppdet.engine INFO: Epoch: [85] [ 40/229] learning_rate: 0.325580 loss_vfl: 0.897468 loss_bbox: 0.350414 loss_dfl: 0.200850 loss: 1.423844 eta: 1 day, 23:18:21 batch_cost: 3.4418 data_cost: 0.0026 ips: 37.1898 images/s [10/15 18:59:37] ppdet.engine INFO: Epoch: [85] [ 60/229] learning_rate: 0.325437 loss_vfl: 0.895077 loss_bbox: 0.334503 loss_dfl: 0.203819 loss: 1.444221 eta: 1 day, 23:17:10 batch_cost: 3.4280 data_cost: 0.0024 ips: 37.3399 images/s [10/15 19:00:48] ppdet.engine INFO: Epoch: [85] [ 80/229] learning_rate: 0.325295 loss_vfl: 0.897211 loss_bbox: 0.336357 loss_dfl: 0.200645 loss: 1.448273 eta: 1 day, 23:15:57 batch_cost: 3.3732 data_cost: 0.0024 ips: 37.9466 images/s [10/15 19:02:00] ppdet.engine INFO: Epoch: [85] [100/229] learning_rate: 0.325152 loss_vfl: 0.897169 loss_bbox: 0.346951 loss_dfl: 0.206426 loss: 1.453995 eta: 1 day, 23:14:48 batch_cost: 3.4722 data_cost: 0.0026 ips: 36.8642 images/s [10/15 19:03:12] ppdet.engine INFO: Epoch: [85] [120/229] learning_rate: 0.325009 loss_vfl: 0.900972 loss_bbox: 0.355177 loss_dfl: 0.209084 loss: 1.471616 eta: 1 day, 23:13:37 batch_cost: 3.4172 data_cost: 0.0031 ips: 37.4578 images/s [10/15 19:04:23] ppdet.engine INFO: Epoch: [85] [140/229] learning_rate: 0.324866 loss_vfl: 0.911487 loss_bbox: 0.346765 loss_dfl: 0.211149 loss: 1.466815 eta: 1 day, 23:12:26 batch_cost: 3.4348 data_cost: 0.0025 ips: 37.2658 images/s [10/15 19:05:34] ppdet.engine INFO: Epoch: [85] [160/229] learning_rate: 0.324723 loss_vfl: 0.902495 loss_bbox: 0.343463 loss_dfl: 0.203481 loss: 1.426302 eta: 1 day, 23:11:14 batch_cost: 3.4028 data_cost: 0.0030 ips: 37.6155 images/s [10/15 19:06:46] ppdet.engine INFO: Epoch: [85] [180/229] learning_rate: 0.324580 loss_vfl: 0.897441 loss_bbox: 0.350244 loss_dfl: 0.206311 loss: 1.448856 eta: 1 day, 23:10:02 batch_cost: 3.4121 data_cost: 0.0030 ips: 37.5132 images/s [10/15 19:07:54] ppdet.engine INFO: Epoch: [85] [200/229] learning_rate: 0.324437 loss_vfl: 0.895041 loss_bbox: 0.348298 loss_dfl: 0.204877 loss: 1.462903 eta: 1 day, 23:08:44 batch_cost: 3.2763 data_cost: 0.0024 ips: 39.0680 images/s [10/15 19:09:02] ppdet.engine INFO: Epoch: [85] [220/229] learning_rate: 0.324294 loss_vfl: 0.898193 loss_bbox: 0.339947 loss_dfl: 0.204709 loss: 1.421777 eta: 1 day, 23:07:25 batch_cost: 3.2719 data_cost: 0.0024 ips: 39.1208 images/s [10/15 19:09:56] ppdet.engine INFO: Epoch: [86] [ 0/229] learning_rate: 0.324230 loss_vfl: 0.896733 loss_bbox: 0.336459 loss_dfl: 0.199752 loss: 1.430619 eta: 1 day, 23:07:38 batch_cost: 4.2327 data_cost: 0.5492 ips: 30.2406 images/s [10/15 19:11:08] ppdet.engine INFO: Epoch: [86] [ 20/229] learning_rate: 0.324086 loss_vfl: 0.883828 loss_bbox: 0.329055 loss_dfl: 0.193569 loss: 1.425362 eta: 1 day, 23:06:29 batch_cost: 3.4547 data_cost: 0.0025 ips: 37.0512 images/s [10/15 19:12:20] ppdet.engine INFO: Epoch: [86] [ 40/229] learning_rate: 0.323943 loss_vfl: 0.895342 loss_bbox: 0.349586 loss_dfl: 0.202952 loss: 1.442789 eta: 1 day, 23:05:18 batch_cost: 3.4256 data_cost: 0.0026 ips: 37.3662 images/s [10/15 19:13:32] ppdet.engine INFO: Epoch: [86] [ 60/229] learning_rate: 0.323799 loss_vfl: 0.897786 loss_bbox: 0.341266 loss_dfl: 0.206042 loss: 1.457197 eta: 1 day, 23:04:08 batch_cost: 3.4617 data_cost: 0.0026 ips: 36.9762 images/s [10/15 19:14:42] ppdet.engine INFO: Epoch: [86] [ 80/229] learning_rate: 0.323655 loss_vfl: 0.897643 loss_bbox: 0.342264 loss_dfl: 0.211092 loss: 1.466015 eta: 1 day, 23:02:53 batch_cost: 3.3440 data_cost: 0.0026 ips: 38.2773 images/s [10/15 19:15:55] ppdet.engine INFO: Epoch: [86] [100/229] learning_rate: 0.323512 loss_vfl: 0.900331 loss_bbox: 0.348777 loss_dfl: 0.207942 loss: 1.472314 eta: 1 day, 23:01:45 batch_cost: 3.4742 data_cost: 0.0025 ips: 36.8428 images/s [10/15 19:17:06] ppdet.engine INFO: Epoch: [86] [120/229] learning_rate: 0.323368 loss_vfl: 0.889995 loss_bbox: 0.346048 loss_dfl: 0.208398 loss: 1.448934 eta: 1 day, 23:00:33 batch_cost: 3.4052 data_cost: 0.0025 ips: 37.5895 images/s [10/15 19:18:17] ppdet.engine INFO: Epoch: [86] [140/229] learning_rate: 0.323224 loss_vfl: 0.891105 loss_bbox: 0.340623 loss_dfl: 0.200139 loss: 1.427063 eta: 1 day, 22:59:21 batch_cost: 3.4081 data_cost: 0.0025 ips: 37.5579 images/s [10/15 19:19:27] ppdet.engine INFO: Epoch: [86] [160/229] learning_rate: 0.323079 loss_vfl: 0.904061 loss_bbox: 0.333250 loss_dfl: 0.206545 loss: 1.464319 eta: 1 day, 22:58:06 batch_cost: 3.3503 data_cost: 0.0024 ips: 38.2054 images/s [10/15 19:20:37] ppdet.engine INFO: Epoch: [86] [180/229] learning_rate: 0.322935 loss_vfl: 0.908929 loss_bbox: 0.354158 loss_dfl: 0.206177 loss: 1.457049 eta: 1 day, 22:56:52 batch_cost: 3.3727 data_cost: 0.0025 ips: 37.9520 images/s [10/15 19:21:48] ppdet.engine INFO: Epoch: [86] [200/229] learning_rate: 0.322791 loss_vfl: 0.900083 loss_bbox: 0.335700 loss_dfl: 0.201561 loss: 1.428169 eta: 1 day, 22:55:40 batch_cost: 3.4059 data_cost: 0.0023 ips: 37.5818 images/s [10/15 19:22:54] ppdet.engine INFO: Epoch: [86] [220/229] learning_rate: 0.322646 loss_vfl: 0.894404 loss_bbox: 0.358032 loss_dfl: 0.206142 loss: 1.454334 eta: 1 day, 22:54:15 batch_cost: 3.1392 data_cost: 0.0024 ips: 40.7746 images/s [10/15 19:23:50] ppdet.engine INFO: Epoch: [87] [ 0/229] learning_rate: 0.322581 loss_vfl: 0.895652 loss_bbox: 0.356319 loss_dfl: 0.209987 loss: 1.465551 eta: 1 day, 22:54:32 batch_cost: 4.1836 data_cost: 0.6603 ips: 30.5958 images/s [10/15 19:25:04] ppdet.engine INFO: Epoch: [87] [ 20/229] learning_rate: 0.322437 loss_vfl: 0.904035 loss_bbox: 0.330812 loss_dfl: 0.197349 loss: 1.443826 eta: 1 day, 22:53:27 batch_cost: 3.5513 data_cost: 0.0041 ips: 36.0432 images/s [10/15 19:26:17] ppdet.engine INFO: Epoch: [87] [ 40/229] learning_rate: 0.322292 loss_vfl: 0.893317 loss_bbox: 0.350605 loss_dfl: 0.206085 loss: 1.443949 eta: 1 day, 22:52:21 batch_cost: 3.5220 data_cost: 0.0034 ips: 36.3432 images/s [10/15 19:27:29] ppdet.engine INFO: Epoch: [87] [ 60/229] learning_rate: 0.322147 loss_vfl: 0.901947 loss_bbox: 0.339908 loss_dfl: 0.205526 loss: 1.441849 eta: 1 day, 22:51:09 batch_cost: 3.4119 data_cost: 0.0026 ips: 37.5161 images/s [10/15 19:28:41] ppdet.engine INFO: Epoch: [87] [ 80/229] learning_rate: 0.322002 loss_vfl: 0.903793 loss_bbox: 0.352781 loss_dfl: 0.203552 loss: 1.453825 eta: 1 day, 22:50:02 batch_cost: 3.4964 data_cost: 0.0025 ips: 36.6095 images/s [10/15 19:29:53] ppdet.engine INFO: Epoch: [87] [100/229] learning_rate: 0.321857 loss_vfl: 0.913023 loss_bbox: 0.340556 loss_dfl: 0.204210 loss: 1.447088 eta: 1 day, 22:48:50 batch_cost: 3.4057 data_cost: 0.0026 ips: 37.5845 images/s [10/15 19:31:03] ppdet.engine INFO: Epoch: [87] [120/229] learning_rate: 0.321712 loss_vfl: 0.901602 loss_bbox: 0.339739 loss_dfl: 0.209679 loss: 1.464702 eta: 1 day, 22:47:37 batch_cost: 3.3957 data_cost: 0.0024 ips: 37.6944 images/s [10/15 19:32:15] ppdet.engine INFO: Epoch: [87] [140/229] learning_rate: 0.321567 loss_vfl: 0.903043 loss_bbox: 0.342884 loss_dfl: 0.211051 loss: 1.456015 eta: 1 day, 22:46:26 batch_cost: 3.4289 data_cost: 0.0025 ips: 37.3294 images/s [10/15 19:33:25] ppdet.engine INFO: Epoch: [87] [160/229] learning_rate: 0.321422 loss_vfl: 0.900412 loss_bbox: 0.356413 loss_dfl: 0.207333 loss: 1.451671 eta: 1 day, 22:45:13 batch_cost: 3.3830 data_cost: 0.0036 ips: 37.8361 images/s [10/15 19:34:35] ppdet.engine INFO: Epoch: [87] [180/229] learning_rate: 0.321276 loss_vfl: 0.891426 loss_bbox: 0.348544 loss_dfl: 0.202114 loss: 1.440717 eta: 1 day, 22:43:58 batch_cost: 3.3313 data_cost: 0.0036 ips: 38.4238 images/s [10/15 19:35:45] ppdet.engine INFO: Epoch: [87] [200/229] learning_rate: 0.321131 loss_vfl: 0.886496 loss_bbox: 0.348126 loss_dfl: 0.206978 loss: 1.465774 eta: 1 day, 22:42:42 batch_cost: 3.3367 data_cost: 0.0025 ips: 38.3613 images/s [10/15 19:36:52] ppdet.engine INFO: Epoch: [87] [220/229] learning_rate: 0.320985 loss_vfl: 0.898564 loss_bbox: 0.345844 loss_dfl: 0.205557 loss: 1.454550 eta: 1 day, 22:41:22 batch_cost: 3.2209 data_cost: 0.0023 ips: 39.7402 images/s [10/15 19:37:45] ppdet.engine INFO: Epoch: [88] [ 0/229] learning_rate: 0.320920 loss_vfl: 0.910753 loss_bbox: 0.344683 loss_dfl: 0.205450 loss: 1.449913 eta: 1 day, 22:41:32 batch_cost: 4.1469 data_cost: 0.6826 ips: 30.8664 images/s [10/15 19:38:57] ppdet.engine INFO: Epoch: [88] [ 20/229] learning_rate: 0.320774 loss_vfl: 0.886210 loss_bbox: 0.352179 loss_dfl: 0.208694 loss: 1.447999 eta: 1 day, 22:40:22 batch_cost: 3.4440 data_cost: 0.0028 ips: 37.1656 images/s [10/15 19:40:08] ppdet.engine INFO: Epoch: [88] [ 40/229] learning_rate: 0.320628 loss_vfl: 0.889779 loss_bbox: 0.348350 loss_dfl: 0.202411 loss: 1.436413 eta: 1 day, 22:39:10 batch_cost: 3.4089 data_cost: 0.0028 ips: 37.5491 images/s [10/15 19:41:21] ppdet.engine INFO: Epoch: [88] [ 60/229] learning_rate: 0.320482 loss_vfl: 0.885766 loss_bbox: 0.343833 loss_dfl: 0.201530 loss: 1.424068 eta: 1 day, 22:38:03 batch_cost: 3.5055 data_cost: 0.0029 ips: 36.5145 images/s [10/15 19:42:31] ppdet.engine INFO: Epoch: [88] [ 80/229] learning_rate: 0.320336 loss_vfl: 0.893976 loss_bbox: 0.336222 loss_dfl: 0.203297 loss: 1.440859 eta: 1 day, 22:36:49 batch_cost: 3.3690 data_cost: 0.0027 ips: 37.9940 images/s [10/15 19:43:43] ppdet.engine INFO: Epoch: [88] [100/229] learning_rate: 0.320190 loss_vfl: 0.898570 loss_bbox: 0.338529 loss_dfl: 0.206745 loss: 1.457308 eta: 1 day, 22:35:38 batch_cost: 3.4242 data_cost: 0.0024 ips: 37.3810 images/s [10/15 19:44:56] ppdet.engine INFO: Epoch: [88] [120/229] learning_rate: 0.320044 loss_vfl: 0.887825 loss_bbox: 0.347606 loss_dfl: 0.200282 loss: 1.433499 eta: 1 day, 22:34:30 batch_cost: 3.4836 data_cost: 0.0026 ips: 36.7431 images/s [10/15 19:46:08] ppdet.engine INFO: Epoch: [88] [140/229] learning_rate: 0.319897 loss_vfl: 0.888484 loss_bbox: 0.350293 loss_dfl: 0.209847 loss: 1.459437 eta: 1 day, 22:33:21 batch_cost: 3.4634 data_cost: 0.0035 ips: 36.9580 images/s [10/15 19:47:19] ppdet.engine INFO: Epoch: [88] [160/229] learning_rate: 0.319751 loss_vfl: 0.887686 loss_bbox: 0.353369 loss_dfl: 0.207642 loss: 1.453623 eta: 1 day, 22:32:08 batch_cost: 3.3884 data_cost: 0.0025 ips: 37.7764 images/s [10/15 19:48:29] ppdet.engine INFO: Epoch: [88] [180/229] learning_rate: 0.319604 loss_vfl: 0.919910 loss_bbox: 0.333649 loss_dfl: 0.205517 loss: 1.460479 eta: 1 day, 22:30:55 batch_cost: 3.3834 data_cost: 0.0025 ips: 37.8322 images/s [10/15 19:49:40] ppdet.engine INFO: Epoch: [88] [200/229] learning_rate: 0.319458 loss_vfl: 0.894696 loss_bbox: 0.338007 loss_dfl: 0.205727 loss: 1.438085 eta: 1 day, 22:29:43 batch_cost: 3.4117 data_cost: 0.0025 ips: 37.5177 images/s [10/15 19:50:49] ppdet.engine INFO: Epoch: [88] [220/229] learning_rate: 0.319311 loss_vfl: 0.896487 loss_bbox: 0.356751 loss_dfl: 0.210399 loss: 1.463723 eta: 1 day, 22:28:26 batch_cost: 3.2846 data_cost: 0.0026 ips: 38.9698 images/s [10/15 19:51:42] ppdet.engine INFO: Epoch: [89] [ 0/229] learning_rate: 0.319245 loss_vfl: 0.894863 loss_bbox: 0.355902 loss_dfl: 0.210805 loss: 1.476516 eta: 1 day, 22:28:36 batch_cost: 4.1433 data_cost: 0.7258 ips: 30.8930 images/s [10/15 19:52:55] ppdet.engine INFO: Epoch: [89] [ 20/229] learning_rate: 0.319098 loss_vfl: 0.896202 loss_bbox: 0.339079 loss_dfl: 0.209998 loss: 1.456277 eta: 1 day, 22:27:27 batch_cost: 3.4813 data_cost: 0.0026 ips: 36.7684 images/s [10/15 19:54:07] ppdet.engine INFO: Epoch: [89] [ 40/229] learning_rate: 0.318951 loss_vfl: 0.900758 loss_bbox: 0.340289 loss_dfl: 0.202460 loss: 1.443071 eta: 1 day, 22:26:18 batch_cost: 3.4697 data_cost: 0.0024 ips: 36.8911 images/s [10/15 19:55:19] ppdet.engine INFO: Epoch: [89] [ 60/229] learning_rate: 0.318804 loss_vfl: 0.906866 loss_bbox: 0.349141 loss_dfl: 0.208605 loss: 1.477635 eta: 1 day, 22:25:07 batch_cost: 3.4231 data_cost: 0.0024 ips: 37.3926 images/s [10/15 19:56:30] ppdet.engine INFO: Epoch: [89] [ 80/229] learning_rate: 0.318657 loss_vfl: 0.895517 loss_bbox: 0.341487 loss_dfl: 0.206368 loss: 1.447548 eta: 1 day, 22:23:56 batch_cost: 3.4296 data_cost: 0.0023 ips: 37.3226 images/s [10/15 19:57:40] ppdet.engine INFO: Epoch: [89] [100/229] learning_rate: 0.318509 loss_vfl: 0.888710 loss_bbox: 0.341297 loss_dfl: 0.203774 loss: 1.434524 eta: 1 day, 22:22:42 batch_cost: 3.3421 data_cost: 0.0029 ips: 38.2994 images/s [10/15 19:58:49] ppdet.engine INFO: Epoch: [89] [120/229] learning_rate: 0.318362 loss_vfl: 0.889492 loss_bbox: 0.353801 loss_dfl: 0.207968 loss: 1.450418 eta: 1 day, 22:21:26 batch_cost: 3.3288 data_cost: 0.0024 ips: 38.4519 images/s [10/15 20:00:00] ppdet.engine INFO: Epoch: [89] [140/229] learning_rate: 0.318215 loss_vfl: 0.903104 loss_bbox: 0.335210 loss_dfl: 0.203961 loss: 1.463641 eta: 1 day, 22:20:12 batch_cost: 3.3688 data_cost: 0.0024 ips: 37.9955 images/s [10/15 20:01:11] ppdet.engine INFO: Epoch: [89] [160/229] learning_rate: 0.318067 loss_vfl: 0.895321 loss_bbox: 0.343743 loss_dfl: 0.201657 loss: 1.440013 eta: 1 day, 22:19:00 batch_cost: 3.4022 data_cost: 0.0025 ips: 37.6228 images/s [10/15 20:02:22] ppdet.engine INFO: Epoch: [89] [180/229] learning_rate: 0.317919 loss_vfl: 0.896006 loss_bbox: 0.354094 loss_dfl: 0.207733 loss: 1.465044 eta: 1 day, 22:17:48 batch_cost: 3.3880 data_cost: 0.0024 ips: 37.7800 images/s [10/15 20:03:33] ppdet.engine INFO: Epoch: [89] [200/229] learning_rate: 0.317772 loss_vfl: 0.898348 loss_bbox: 0.336457 loss_dfl: 0.202652 loss: 1.447950 eta: 1 day, 22:16:36 batch_cost: 3.4078 data_cost: 0.0035 ips: 37.5610 images/s [10/15 20:04:40] ppdet.engine INFO: Epoch: [89] [220/229] learning_rate: 0.317624 loss_vfl: 0.903045 loss_bbox: 0.345186 loss_dfl: 0.210646 loss: 1.476737 eta: 1 day, 22:15:14 batch_cost: 3.1848 data_cost: 0.0024 ips: 40.1915 images/s [10/15 20:05:06] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 20:05:06] ppdet.engine INFO: Eval iter: 0 [10/15 20:05:44] ppdet.engine INFO: Eval iter: 100 [10/15 20:06:07] ppdet.engine INFO: Eval iter: 200 [10/15 20:06:29] ppdet.engine INFO: Eval iter: 300 [10/15 20:06:54] ppdet.engine INFO: Eval iter: 400 [10/15 20:07:18] ppdet.engine INFO: Eval iter: 500 [10/15 20:07:42] ppdet.engine INFO: Eval iter: 600 [10/15 20:08:02] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/15 20:08:03] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.66s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=94.85s). Accumulating evaluation results... DONE (t=16.99s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.249 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.385 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.257 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 ] = 0.246 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 ] = 0.241 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.378 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.403 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.128 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 ] = 0.667 [10/15 20:10:02] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.686053223985628 [10/15 20:10:02] ppdet.engine INFO: Best test bbox ap is 0.249. [10/15 20:10:02] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 20:10:05] ppdet.engine INFO: Epoch: [90] [ 0/229] learning_rate: 0.317557 loss_vfl: 0.880567 loss_bbox: 0.350164 loss_dfl: 0.206999 loss: 1.444947 eta: 1 day, 22:14:27 batch_cost: 2.9118 data_cost: 0.0025 ips: 43.9588 images/s [10/15 20:11:18] ppdet.engine INFO: Epoch: [90] [ 20/229] learning_rate: 0.317409 loss_vfl: 0.891931 loss_bbox: 0.345821 loss_dfl: 0.203985 loss: 1.458933 eta: 1 day, 22:13:20 batch_cost: 3.5063 data_cost: 0.0027 ips: 36.5059 images/s [10/15 20:12:29] ppdet.engine INFO: Epoch: [90] [ 40/229] learning_rate: 0.317261 loss_vfl: 0.883339 loss_bbox: 0.343028 loss_dfl: 0.202448 loss: 1.447671 eta: 1 day, 22:12:08 batch_cost: 3.3953 data_cost: 0.0025 ips: 37.6991 images/s [10/15 20:13:41] ppdet.engine INFO: Epoch: [90] [ 60/229] learning_rate: 0.317113 loss_vfl: 0.895023 loss_bbox: 0.351415 loss_dfl: 0.213957 loss: 1.462702 eta: 1 day, 22:10:57 batch_cost: 3.4274 data_cost: 0.0026 ips: 37.3466 images/s [10/15 20:14:54] ppdet.engine INFO: Epoch: [90] [ 80/229] learning_rate: 0.316964 loss_vfl: 0.883816 loss_bbox: 0.346984 loss_dfl: 0.199379 loss: 1.417682 eta: 1 day, 22:09:50 batch_cost: 3.5140 data_cost: 0.0025 ips: 36.4260 images/s [10/15 20:16:05] ppdet.engine INFO: Epoch: [90] [100/229] learning_rate: 0.316816 loss_vfl: 0.881719 loss_bbox: 0.335043 loss_dfl: 0.198247 loss: 1.420169 eta: 1 day, 22:08:37 batch_cost: 3.3774 data_cost: 0.0033 ips: 37.8990 images/s [10/15 20:17:17] ppdet.engine INFO: Epoch: [90] [120/229] learning_rate: 0.316667 loss_vfl: 0.894046 loss_bbox: 0.335718 loss_dfl: 0.200962 loss: 1.430052 eta: 1 day, 22:07:27 batch_cost: 3.4583 data_cost: 0.0025 ips: 37.0128 images/s [10/15 20:18:29] ppdet.engine INFO: Epoch: [90] [140/229] learning_rate: 0.316519 loss_vfl: 0.903059 loss_bbox: 0.346577 loss_dfl: 0.206337 loss: 1.455308 eta: 1 day, 22:06:17 batch_cost: 3.4413 data_cost: 0.0024 ips: 37.1957 images/s [10/15 20:19:40] ppdet.engine INFO: Epoch: [90] [160/229] learning_rate: 0.316370 loss_vfl: 0.906488 loss_bbox: 0.348593 loss_dfl: 0.206434 loss: 1.461951 eta: 1 day, 22:05:07 batch_cost: 3.4419 data_cost: 0.0024 ips: 37.1885 images/s [10/15 20:20:52] ppdet.engine INFO: Epoch: [90] [180/229] learning_rate: 0.316221 loss_vfl: 0.908372 loss_bbox: 0.353480 loss_dfl: 0.219729 loss: 1.490327 eta: 1 day, 22:03:56 batch_cost: 3.4282 data_cost: 0.0024 ips: 37.3369 images/s [10/15 20:22:01] ppdet.engine INFO: Epoch: [90] [200/229] learning_rate: 0.316072 loss_vfl: 0.900981 loss_bbox: 0.344700 loss_dfl: 0.202998 loss: 1.463763 eta: 1 day, 22:02:41 batch_cost: 3.3379 data_cost: 0.0025 ips: 38.3476 images/s [10/15 20:23:07] ppdet.engine INFO: Epoch: [90] [220/229] learning_rate: 0.315923 loss_vfl: 0.893440 loss_bbox: 0.341993 loss_dfl: 0.201855 loss: 1.441095 eta: 1 day, 22:01:18 batch_cost: 3.1504 data_cost: 0.0031 ips: 40.6297 images/s [10/15 20:24:02] ppdet.engine INFO: Epoch: [91] [ 0/229] learning_rate: 0.315856 loss_vfl: 0.885946 loss_bbox: 0.348173 loss_dfl: 0.206571 loss: 1.452121 eta: 1 day, 22:01:30 batch_cost: 4.1267 data_cost: 0.5707 ips: 31.0174 images/s [10/15 20:25:16] ppdet.engine INFO: Epoch: [91] [ 20/229] learning_rate: 0.315707 loss_vfl: 0.893783 loss_bbox: 0.342374 loss_dfl: 0.201083 loss: 1.439821 eta: 1 day, 22:00:23 batch_cost: 3.4952 data_cost: 0.0030 ips: 36.6220 images/s [10/15 20:26:27] ppdet.engine INFO: Epoch: [91] [ 40/229] learning_rate: 0.315558 loss_vfl: 0.891935 loss_bbox: 0.350510 loss_dfl: 0.200948 loss: 1.449235 eta: 1 day, 21:59:13 batch_cost: 3.4402 data_cost: 0.0026 ips: 37.2067 images/s [10/15 20:27:39] ppdet.engine INFO: Epoch: [91] [ 60/229] learning_rate: 0.315408 loss_vfl: 0.892286 loss_bbox: 0.364126 loss_dfl: 0.214602 loss: 1.461064 eta: 1 day, 21:58:02 batch_cost: 3.4351 data_cost: 0.0025 ips: 37.2622 images/s [10/15 20:28:50] ppdet.engine INFO: Epoch: [91] [ 80/229] learning_rate: 0.315259 loss_vfl: 0.891457 loss_bbox: 0.333364 loss_dfl: 0.199006 loss: 1.415490 eta: 1 day, 21:56:50 batch_cost: 3.4073 data_cost: 0.0025 ips: 37.5668 images/s [10/15 20:30:02] ppdet.engine INFO: Epoch: [91] [100/229] learning_rate: 0.315110 loss_vfl: 0.896493 loss_bbox: 0.352405 loss_dfl: 0.209382 loss: 1.451807 eta: 1 day, 21:55:40 batch_cost: 3.4326 data_cost: 0.0025 ips: 37.2894 images/s [10/15 20:31:13] ppdet.engine INFO: Epoch: [91] [120/229] learning_rate: 0.314960 loss_vfl: 0.895037 loss_bbox: 0.344873 loss_dfl: 0.204197 loss: 1.436502 eta: 1 day, 21:54:28 batch_cost: 3.3976 data_cost: 0.0024 ips: 37.6735 images/s [10/15 20:32:23] ppdet.engine INFO: Epoch: [91] [140/229] learning_rate: 0.314810 loss_vfl: 0.894390 loss_bbox: 0.338090 loss_dfl: 0.203227 loss: 1.442925 eta: 1 day, 21:53:15 batch_cost: 3.3795 data_cost: 0.0033 ips: 37.8750 images/s [10/15 20:33:34] ppdet.engine INFO: Epoch: [91] [160/229] learning_rate: 0.314660 loss_vfl: 0.894346 loss_bbox: 0.349090 loss_dfl: 0.208337 loss: 1.444467 eta: 1 day, 21:52:03 batch_cost: 3.4078 data_cost: 0.0024 ips: 37.5612 images/s [10/15 20:34:47] ppdet.engine INFO: Epoch: [91] [180/229] learning_rate: 0.314510 loss_vfl: 0.892641 loss_bbox: 0.357858 loss_dfl: 0.210279 loss: 1.459705 eta: 1 day, 21:50:54 batch_cost: 3.4601 data_cost: 0.0027 ips: 36.9934 images/s [10/15 20:35:58] ppdet.engine INFO: Epoch: [91] [200/229] learning_rate: 0.314360 loss_vfl: 0.894098 loss_bbox: 0.354489 loss_dfl: 0.211040 loss: 1.455851 eta: 1 day, 21:49:43 batch_cost: 3.4344 data_cost: 0.0024 ips: 37.2696 images/s [10/15 20:37:04] ppdet.engine INFO: Epoch: [91] [220/229] learning_rate: 0.314210 loss_vfl: 0.883909 loss_bbox: 0.350071 loss_dfl: 0.202885 loss: 1.442578 eta: 1 day, 21:48:20 batch_cost: 3.1452 data_cost: 0.0023 ips: 40.6966 images/s [10/15 20:37:57] ppdet.engine INFO: Epoch: [92] [ 0/229] learning_rate: 0.314143 loss_vfl: 0.890263 loss_bbox: 0.348768 loss_dfl: 0.205554 loss: 1.446115 eta: 1 day, 21:48:27 batch_cost: 4.0673 data_cost: 0.6490 ips: 31.4706 images/s [10/15 20:39:09] ppdet.engine INFO: Epoch: [92] [ 20/229] learning_rate: 0.313992 loss_vfl: 0.888226 loss_bbox: 0.337718 loss_dfl: 0.204429 loss: 1.426862 eta: 1 day, 21:47:17 batch_cost: 3.4471 data_cost: 0.0024 ips: 37.1327 images/s [10/15 20:40:20] ppdet.engine INFO: Epoch: [92] [ 40/229] learning_rate: 0.313842 loss_vfl: 0.875128 loss_bbox: 0.348364 loss_dfl: 0.203313 loss: 1.432828 eta: 1 day, 21:46:05 batch_cost: 3.4037 data_cost: 0.0025 ips: 37.6057 images/s [10/15 20:41:30] ppdet.engine INFO: Epoch: [92] [ 60/229] learning_rate: 0.313692 loss_vfl: 0.901737 loss_bbox: 0.344684 loss_dfl: 0.207371 loss: 1.455508 eta: 1 day, 21:44:52 batch_cost: 3.3647 data_cost: 0.0025 ips: 38.0420 images/s [10/15 20:42:42] ppdet.engine INFO: Epoch: [92] [ 80/229] learning_rate: 0.313541 loss_vfl: 0.904867 loss_bbox: 0.344522 loss_dfl: 0.209916 loss: 1.463866 eta: 1 day, 21:43:42 batch_cost: 3.4416 data_cost: 0.0027 ips: 37.1918 images/s [10/15 20:43:51] ppdet.engine INFO: Epoch: [92] [100/229] learning_rate: 0.313391 loss_vfl: 0.883931 loss_bbox: 0.354752 loss_dfl: 0.207565 loss: 1.462792 eta: 1 day, 21:42:27 batch_cost: 3.3304 data_cost: 0.0024 ips: 38.4332 images/s [10/15 20:45:02] ppdet.engine INFO: Epoch: [92] [120/229] learning_rate: 0.313240 loss_vfl: 0.896879 loss_bbox: 0.341764 loss_dfl: 0.201470 loss: 1.429331 eta: 1 day, 21:41:14 batch_cost: 3.3939 data_cost: 0.0024 ips: 37.7150 images/s [10/15 20:46:14] ppdet.engine INFO: Epoch: [92] [140/229] learning_rate: 0.313089 loss_vfl: 0.896548 loss_bbox: 0.347494 loss_dfl: 0.204092 loss: 1.442427 eta: 1 day, 21:40:04 batch_cost: 3.4426 data_cost: 0.0025 ips: 37.1812 images/s [10/15 20:47:25] ppdet.engine INFO: Epoch: [92] [160/229] learning_rate: 0.312938 loss_vfl: 0.894313 loss_bbox: 0.351482 loss_dfl: 0.208806 loss: 1.465143 eta: 1 day, 21:38:52 batch_cost: 3.4038 data_cost: 0.0024 ips: 37.6049 images/s [10/15 20:48:37] ppdet.engine INFO: Epoch: [92] [180/229] learning_rate: 0.312787 loss_vfl: 0.903057 loss_bbox: 0.330438 loss_dfl: 0.199683 loss: 1.439375 eta: 1 day, 21:37:43 batch_cost: 3.4606 data_cost: 0.0026 ips: 36.9881 images/s [10/15 20:49:51] ppdet.engine INFO: Epoch: [92] [200/229] learning_rate: 0.312636 loss_vfl: 0.890631 loss_bbox: 0.325569 loss_dfl: 0.194395 loss: 1.415493 eta: 1 day, 21:36:37 batch_cost: 3.5306 data_cost: 0.0024 ips: 36.2540 images/s [10/15 20:50:56] ppdet.engine INFO: Epoch: [92] [220/229] learning_rate: 0.312485 loss_vfl: 0.889404 loss_bbox: 0.351065 loss_dfl: 0.201762 loss: 1.445604 eta: 1 day, 21:35:13 batch_cost: 3.1359 data_cost: 0.0023 ips: 40.8182 images/s [10/15 20:51:51] ppdet.engine INFO: Epoch: [93] [ 0/229] learning_rate: 0.312417 loss_vfl: 0.896101 loss_bbox: 0.351984 loss_dfl: 0.201536 loss: 1.446220 eta: 1 day, 21:35:23 batch_cost: 4.1210 data_cost: 0.7726 ips: 31.0604 images/s [10/15 20:53:03] ppdet.engine INFO: Epoch: [93] [ 20/229] learning_rate: 0.312265 loss_vfl: 0.884652 loss_bbox: 0.337907 loss_dfl: 0.205178 loss: 1.437407 eta: 1 day, 21:34:14 batch_cost: 3.4601 data_cost: 0.0030 ips: 36.9930 images/s [10/15 20:54:14] ppdet.engine INFO: Epoch: [93] [ 40/229] learning_rate: 0.312114 loss_vfl: 0.899593 loss_bbox: 0.335042 loss_dfl: 0.198130 loss: 1.439873 eta: 1 day, 21:33:01 batch_cost: 3.3821 data_cost: 0.0030 ips: 37.8466 images/s [10/15 20:55:24] ppdet.engine INFO: Epoch: [93] [ 60/229] learning_rate: 0.311962 loss_vfl: 0.905879 loss_bbox: 0.342150 loss_dfl: 0.202395 loss: 1.452721 eta: 1 day, 21:31:46 batch_cost: 3.3340 data_cost: 0.0026 ips: 38.3923 images/s [10/15 20:56:35] ppdet.engine INFO: Epoch: [93] [ 80/229] learning_rate: 0.311811 loss_vfl: 0.898613 loss_bbox: 0.344205 loss_dfl: 0.210086 loss: 1.465434 eta: 1 day, 21:30:35 batch_cost: 3.4251 data_cost: 0.0025 ips: 37.3713 images/s [10/15 20:57:47] ppdet.engine INFO: Epoch: [93] [100/229] learning_rate: 0.311659 loss_vfl: 0.901901 loss_bbox: 0.337074 loss_dfl: 0.201700 loss: 1.439941 eta: 1 day, 21:29:25 batch_cost: 3.4355 data_cost: 0.0025 ips: 37.2579 images/s [10/15 20:58:58] ppdet.engine INFO: Epoch: [93] [120/229] learning_rate: 0.311507 loss_vfl: 0.877578 loss_bbox: 0.335470 loss_dfl: 0.197820 loss: 1.406001 eta: 1 day, 21:28:14 batch_cost: 3.4132 data_cost: 0.0025 ips: 37.5019 images/s [10/15 21:00:08] ppdet.engine INFO: Epoch: [93] [140/229] learning_rate: 0.311355 loss_vfl: 0.903619 loss_bbox: 0.329009 loss_dfl: 0.200006 loss: 1.438262 eta: 1 day, 21:26:59 batch_cost: 3.3461 data_cost: 0.0026 ips: 38.2537 images/s [10/15 21:01:18] ppdet.engine INFO: Epoch: [93] [160/229] learning_rate: 0.311203 loss_vfl: 0.904795 loss_bbox: 0.343533 loss_dfl: 0.206552 loss: 1.444327 eta: 1 day, 21:25:46 batch_cost: 3.3605 data_cost: 0.0026 ips: 38.0891 images/s [10/15 21:02:28] ppdet.engine INFO: Epoch: [93] [180/229] learning_rate: 0.311051 loss_vfl: 0.885779 loss_bbox: 0.334529 loss_dfl: 0.198608 loss: 1.402321 eta: 1 day, 21:24:30 batch_cost: 3.3255 data_cost: 0.0024 ips: 38.4908 images/s [10/15 21:03:37] ppdet.engine INFO: Epoch: [93] [200/229] learning_rate: 0.310899 loss_vfl: 0.884026 loss_bbox: 0.343587 loss_dfl: 0.207327 loss: 1.442723 eta: 1 day, 21:23:14 batch_cost: 3.2911 data_cost: 0.0024 ips: 38.8933 images/s [10/15 21:04:43] ppdet.engine INFO: Epoch: [93] [220/229] learning_rate: 0.310747 loss_vfl: 0.888664 loss_bbox: 0.350058 loss_dfl: 0.206534 loss: 1.447024 eta: 1 day, 21:21:51 batch_cost: 3.1662 data_cost: 0.0025 ips: 40.4267 images/s [10/15 21:05:36] ppdet.engine INFO: Epoch: [94] [ 0/229] learning_rate: 0.310678 loss_vfl: 0.886039 loss_bbox: 0.347395 loss_dfl: 0.206534 loss: 1.438579 eta: 1 day, 21:21:59 batch_cost: 4.1138 data_cost: 0.7242 ips: 31.1150 images/s [10/15 21:06:49] ppdet.engine INFO: Epoch: [94] [ 20/229] learning_rate: 0.310526 loss_vfl: 0.901891 loss_bbox: 0.337821 loss_dfl: 0.203086 loss: 1.438476 eta: 1 day, 21:20:51 batch_cost: 3.4960 data_cost: 0.0025 ips: 36.6137 images/s [10/15 21:08:01] ppdet.engine INFO: Epoch: [94] [ 40/229] learning_rate: 0.310373 loss_vfl: 0.900800 loss_bbox: 0.343664 loss_dfl: 0.204996 loss: 1.434943 eta: 1 day, 21:19:41 batch_cost: 3.4294 data_cost: 0.0030 ips: 37.3245 images/s [10/15 21:09:12] ppdet.engine INFO: Epoch: [94] [ 60/229] learning_rate: 0.310221 loss_vfl: 0.893405 loss_bbox: 0.330662 loss_dfl: 0.203183 loss: 1.430087 eta: 1 day, 21:18:29 batch_cost: 3.4066 data_cost: 0.0025 ips: 37.5738 images/s [10/15 21:10:23] ppdet.engine INFO: Epoch: [94] [ 80/229] learning_rate: 0.310068 loss_vfl: 0.908180 loss_bbox: 0.330344 loss_dfl: 0.200008 loss: 1.451009 eta: 1 day, 21:17:16 batch_cost: 3.3805 data_cost: 0.0026 ips: 37.8642 images/s [10/15 21:11:34] ppdet.engine INFO: Epoch: [94] [100/229] learning_rate: 0.309915 loss_vfl: 0.894819 loss_bbox: 0.351176 loss_dfl: 0.205351 loss: 1.448239 eta: 1 day, 21:16:06 batch_cost: 3.4333 data_cost: 0.0026 ips: 37.2819 images/s [10/15 21:12:46] ppdet.engine INFO: Epoch: [94] [120/229] learning_rate: 0.309763 loss_vfl: 0.891289 loss_bbox: 0.336088 loss_dfl: 0.205274 loss: 1.444824 eta: 1 day, 21:14:54 batch_cost: 3.4057 data_cost: 0.0024 ips: 37.5844 images/s [10/15 21:13:56] ppdet.engine INFO: Epoch: [94] [140/229] learning_rate: 0.309610 loss_vfl: 0.884976 loss_bbox: 0.347914 loss_dfl: 0.203693 loss: 1.421635 eta: 1 day, 21:13:40 batch_cost: 3.3552 data_cost: 0.0024 ips: 38.1495 images/s [10/15 21:15:06] ppdet.engine INFO: Epoch: [94] [160/229] learning_rate: 0.309457 loss_vfl: 0.890441 loss_bbox: 0.349921 loss_dfl: 0.206875 loss: 1.448454 eta: 1 day, 21:12:27 batch_cost: 3.3734 data_cost: 0.0025 ips: 37.9438 images/s [10/15 21:16:18] ppdet.engine INFO: Epoch: [94] [180/229] learning_rate: 0.309303 loss_vfl: 0.887666 loss_bbox: 0.349392 loss_dfl: 0.204265 loss: 1.447079 eta: 1 day, 21:11:17 batch_cost: 3.4387 data_cost: 0.0024 ips: 37.2234 images/s [10/15 21:17:29] ppdet.engine INFO: Epoch: [94] [200/229] learning_rate: 0.309150 loss_vfl: 0.895574 loss_bbox: 0.336164 loss_dfl: 0.202380 loss: 1.430618 eta: 1 day, 21:10:06 batch_cost: 3.4189 data_cost: 0.0025 ips: 37.4385 images/s [10/15 21:18:37] ppdet.engine INFO: Epoch: [94] [220/229] learning_rate: 0.308997 loss_vfl: 0.896328 loss_bbox: 0.344742 loss_dfl: 0.204868 loss: 1.451291 eta: 1 day, 21:08:46 batch_cost: 3.2182 data_cost: 0.0025 ips: 39.7735 images/s [10/15 21:19:28] ppdet.engine INFO: Epoch: [95] [ 0/229] learning_rate: 0.308928 loss_vfl: 0.892297 loss_bbox: 0.352318 loss_dfl: 0.204868 loss: 1.444558 eta: 1 day, 21:08:49 batch_cost: 4.0686 data_cost: 0.3912 ips: 31.4603 images/s [10/15 21:20:42] ppdet.engine INFO: Epoch: [95] [ 20/229] learning_rate: 0.308774 loss_vfl: 0.886859 loss_bbox: 0.338210 loss_dfl: 0.202520 loss: 1.432801 eta: 1 day, 21:07:45 batch_cost: 3.5736 data_cost: 0.0028 ips: 35.8187 images/s [10/15 21:21:56] ppdet.engine INFO: Epoch: [95] [ 40/229] learning_rate: 0.308621 loss_vfl: 0.903543 loss_bbox: 0.343245 loss_dfl: 0.212125 loss: 1.456452 eta: 1 day, 21:06:38 batch_cost: 3.5236 data_cost: 0.0028 ips: 36.3270 images/s [10/15 21:23:06] ppdet.engine INFO: Epoch: [95] [ 60/229] learning_rate: 0.308467 loss_vfl: 0.895669 loss_bbox: 0.339522 loss_dfl: 0.205513 loss: 1.442795 eta: 1 day, 21:05:26 batch_cost: 3.3979 data_cost: 0.0028 ips: 37.6701 images/s [10/15 21:24:18] ppdet.engine INFO: Epoch: [95] [ 80/229] learning_rate: 0.308313 loss_vfl: 0.878487 loss_bbox: 0.352985 loss_dfl: 0.208253 loss: 1.446258 eta: 1 day, 21:04:15 batch_cost: 3.4275 data_cost: 0.0025 ips: 37.3446 images/s [10/15 21:25:29] ppdet.engine INFO: Epoch: [95] [100/229] learning_rate: 0.308160 loss_vfl: 0.897976 loss_bbox: 0.356133 loss_dfl: 0.205132 loss: 1.465349 eta: 1 day, 21:03:04 batch_cost: 3.4148 data_cost: 0.0031 ips: 37.4835 images/s [10/15 21:26:39] ppdet.engine INFO: Epoch: [95] [120/229] learning_rate: 0.308006 loss_vfl: 0.900587 loss_bbox: 0.352479 loss_dfl: 0.207530 loss: 1.462168 eta: 1 day, 21:01:51 batch_cost: 3.3669 data_cost: 0.0024 ips: 38.0166 images/s [10/15 21:27:49] ppdet.engine INFO: Epoch: [95] [140/229] learning_rate: 0.307852 loss_vfl: 0.887482 loss_bbox: 0.336875 loss_dfl: 0.200007 loss: 1.438892 eta: 1 day, 21:00:37 batch_cost: 3.3511 data_cost: 0.0023 ips: 38.1969 images/s [10/15 21:29:00] ppdet.engine INFO: Epoch: [95] [160/229] learning_rate: 0.307698 loss_vfl: 0.884972 loss_bbox: 0.347322 loss_dfl: 0.208322 loss: 1.446775 eta: 1 day, 20:59:23 batch_cost: 3.3652 data_cost: 0.0023 ips: 38.0367 images/s [10/15 21:30:10] ppdet.engine INFO: Epoch: [95] [180/229] learning_rate: 0.307543 loss_vfl: 0.906750 loss_bbox: 0.339880 loss_dfl: 0.207627 loss: 1.453490 eta: 1 day, 20:58:10 batch_cost: 3.3646 data_cost: 0.0023 ips: 38.0432 images/s [10/15 21:31:21] ppdet.engine INFO: Epoch: [95] [200/229] learning_rate: 0.307389 loss_vfl: 0.890689 loss_bbox: 0.335197 loss_dfl: 0.203376 loss: 1.432584 eta: 1 day, 20:56:59 batch_cost: 3.4138 data_cost: 0.0024 ips: 37.4947 images/s [10/15 21:32:27] ppdet.engine INFO: Epoch: [95] [220/229] learning_rate: 0.307235 loss_vfl: 0.891773 loss_bbox: 0.348068 loss_dfl: 0.209389 loss: 1.455465 eta: 1 day, 20:55:37 batch_cost: 3.1653 data_cost: 0.0024 ips: 40.4382 images/s [10/15 21:33:25] ppdet.engine INFO: Epoch: [96] [ 0/229] learning_rate: 0.307165 loss_vfl: 0.888955 loss_bbox: 0.352142 loss_dfl: 0.205553 loss: 1.450489 eta: 1 day, 20:55:51 batch_cost: 4.2985 data_cost: 0.4480 ips: 29.7781 images/s [10/15 21:34:35] ppdet.engine INFO: Epoch: [96] [ 20/229] learning_rate: 0.307011 loss_vfl: 0.892833 loss_bbox: 0.331671 loss_dfl: 0.205262 loss: 1.437703 eta: 1 day, 20:54:38 batch_cost: 3.3675 data_cost: 0.0026 ips: 38.0108 images/s [10/15 21:35:47] ppdet.engine INFO: Epoch: [96] [ 40/229] learning_rate: 0.306856 loss_vfl: 0.879453 loss_bbox: 0.342745 loss_dfl: 0.205964 loss: 1.438322 eta: 1 day, 20:53:29 batch_cost: 3.4570 data_cost: 0.0025 ips: 37.0259 images/s [10/15 21:36:58] ppdet.engine INFO: Epoch: [96] [ 60/229] learning_rate: 0.306702 loss_vfl: 0.882670 loss_bbox: 0.329698 loss_dfl: 0.201181 loss: 1.413481 eta: 1 day, 20:52:15 batch_cost: 3.3666 data_cost: 0.0034 ips: 38.0210 images/s [10/15 21:38:09] ppdet.engine INFO: Epoch: [96] [ 80/229] learning_rate: 0.306547 loss_vfl: 0.885162 loss_bbox: 0.334842 loss_dfl: 0.194921 loss: 1.408409 eta: 1 day, 20:51:03 batch_cost: 3.3986 data_cost: 0.0025 ips: 37.6624 images/s [10/15 21:39:19] ppdet.engine INFO: Epoch: [96] [100/229] learning_rate: 0.306392 loss_vfl: 0.900042 loss_bbox: 0.335437 loss_dfl: 0.206369 loss: 1.431793 eta: 1 day, 20:49:51 batch_cost: 3.3984 data_cost: 0.0032 ips: 37.6653 images/s [10/15 21:40:31] ppdet.engine INFO: Epoch: [96] [120/229] learning_rate: 0.306237 loss_vfl: 0.886610 loss_bbox: 0.347008 loss_dfl: 0.210687 loss: 1.458538 eta: 1 day, 20:48:41 batch_cost: 3.4370 data_cost: 0.0026 ips: 37.2418 images/s [10/15 21:41:43] ppdet.engine INFO: Epoch: [96] [140/229] learning_rate: 0.306082 loss_vfl: 0.901581 loss_bbox: 0.340402 loss_dfl: 0.202863 loss: 1.446203 eta: 1 day, 20:47:30 batch_cost: 3.4275 data_cost: 0.0025 ips: 37.3446 images/s [10/15 21:42:53] ppdet.engine INFO: Epoch: [96] [160/229] learning_rate: 0.305927 loss_vfl: 0.905217 loss_bbox: 0.336707 loss_dfl: 0.200746 loss: 1.453979 eta: 1 day, 20:46:17 batch_cost: 3.3704 data_cost: 0.0024 ips: 37.9775 images/s [10/15 21:44:04] ppdet.engine INFO: Epoch: [96] [180/229] learning_rate: 0.305772 loss_vfl: 0.899541 loss_bbox: 0.340012 loss_dfl: 0.201798 loss: 1.435529 eta: 1 day, 20:45:06 batch_cost: 3.4199 data_cost: 0.0024 ips: 37.4277 images/s [10/15 21:45:16] ppdet.engine INFO: Epoch: [96] [200/229] learning_rate: 0.305616 loss_vfl: 0.907043 loss_bbox: 0.336850 loss_dfl: 0.207616 loss: 1.453460 eta: 1 day, 20:43:56 batch_cost: 3.4475 data_cost: 0.0026 ips: 37.1288 images/s [10/15 21:46:27] ppdet.engine INFO: Epoch: [96] [220/229] learning_rate: 0.305461 loss_vfl: 0.903268 loss_bbox: 0.334897 loss_dfl: 0.201968 loss: 1.429784 eta: 1 day, 20:42:44 batch_cost: 3.3831 data_cost: 0.0024 ips: 37.8350 images/s [10/15 21:47:22] ppdet.engine INFO: Epoch: [97] [ 0/229] learning_rate: 0.305391 loss_vfl: 0.899130 loss_bbox: 0.342315 loss_dfl: 0.202698 loss: 1.425337 eta: 1 day, 20:42:53 batch_cost: 4.3282 data_cost: 0.5415 ips: 29.5736 images/s [10/15 21:48:36] ppdet.engine INFO: Epoch: [97] [ 20/229] learning_rate: 0.305236 loss_vfl: 0.895410 loss_bbox: 0.350063 loss_dfl: 0.206082 loss: 1.441025 eta: 1 day, 20:41:46 batch_cost: 3.5208 data_cost: 0.0029 ips: 36.3552 images/s [10/15 21:49:49] ppdet.engine INFO: Epoch: [97] [ 40/229] learning_rate: 0.305080 loss_vfl: 0.887459 loss_bbox: 0.350522 loss_dfl: 0.202937 loss: 1.434202 eta: 1 day, 20:40:39 batch_cost: 3.5223 data_cost: 0.0025 ips: 36.3403 images/s [10/15 21:51:02] ppdet.engine INFO: Epoch: [97] [ 60/229] learning_rate: 0.304924 loss_vfl: 0.896691 loss_bbox: 0.350903 loss_dfl: 0.202976 loss: 1.449868 eta: 1 day, 20:39:31 batch_cost: 3.4871 data_cost: 0.0024 ips: 36.7068 images/s [10/15 21:52:12] ppdet.engine INFO: Epoch: [97] [ 80/229] learning_rate: 0.304769 loss_vfl: 0.899767 loss_bbox: 0.339800 loss_dfl: 0.206120 loss: 1.445594 eta: 1 day, 20:38:18 batch_cost: 3.3638 data_cost: 0.0024 ips: 38.0521 images/s [10/15 21:53:23] ppdet.engine INFO: Epoch: [97] [100/229] learning_rate: 0.304613 loss_vfl: 0.907860 loss_bbox: 0.335007 loss_dfl: 0.202653 loss: 1.435014 eta: 1 day, 20:37:07 batch_cost: 3.4210 data_cost: 0.0026 ips: 37.4161 images/s [10/15 21:54:34] ppdet.engine INFO: Epoch: [97] [120/229] learning_rate: 0.304457 loss_vfl: 0.898592 loss_bbox: 0.337960 loss_dfl: 0.207647 loss: 1.452227 eta: 1 day, 20:35:54 batch_cost: 3.3785 data_cost: 0.0027 ips: 37.8861 images/s [10/15 21:55:46] ppdet.engine INFO: Epoch: [97] [140/229] learning_rate: 0.304301 loss_vfl: 0.892387 loss_bbox: 0.343791 loss_dfl: 0.208732 loss: 1.454954 eta: 1 day, 20:34:45 batch_cost: 3.4743 data_cost: 0.0026 ips: 36.8418 images/s [10/15 21:56:59] ppdet.engine INFO: Epoch: [97] [160/229] learning_rate: 0.304145 loss_vfl: 0.894220 loss_bbox: 0.352127 loss_dfl: 0.208152 loss: 1.458985 eta: 1 day, 20:33:38 batch_cost: 3.5026 data_cost: 0.0026 ips: 36.5447 images/s [10/15 21:58:13] ppdet.engine INFO: Epoch: [97] [180/229] learning_rate: 0.303988 loss_vfl: 0.893915 loss_bbox: 0.330318 loss_dfl: 0.202235 loss: 1.418929 eta: 1 day, 20:32:31 batch_cost: 3.5216 data_cost: 0.0025 ips: 36.3475 images/s [10/15 21:59:25] ppdet.engine INFO: Epoch: [97] [200/229] learning_rate: 0.303832 loss_vfl: 0.904609 loss_bbox: 0.351049 loss_dfl: 0.206689 loss: 1.458005 eta: 1 day, 20:31:21 batch_cost: 3.4501 data_cost: 0.0024 ips: 37.1007 images/s [10/15 22:00:34] ppdet.engine INFO: Epoch: [97] [220/229] learning_rate: 0.303676 loss_vfl: 0.901377 loss_bbox: 0.349178 loss_dfl: 0.209042 loss: 1.443468 eta: 1 day, 20:30:05 batch_cost: 3.2998 data_cost: 0.0032 ips: 38.7899 images/s [10/15 22:01:27] ppdet.engine INFO: Epoch: [98] [ 0/229] learning_rate: 0.303605 loss_vfl: 0.895187 loss_bbox: 0.361416 loss_dfl: 0.213133 loss: 1.450073 eta: 1 day, 20:30:11 batch_cost: 4.2048 data_cost: 0.2521 ips: 30.4415 images/s [10/15 22:02:40] ppdet.engine INFO: Epoch: [98] [ 20/229] learning_rate: 0.303449 loss_vfl: 0.886821 loss_bbox: 0.352742 loss_dfl: 0.213176 loss: 1.459626 eta: 1 day, 20:29:02 batch_cost: 3.4669 data_cost: 0.0026 ips: 36.9201 images/s [10/15 22:03:51] ppdet.engine INFO: Epoch: [98] [ 40/229] learning_rate: 0.303292 loss_vfl: 0.899164 loss_bbox: 0.348302 loss_dfl: 0.209463 loss: 1.454303 eta: 1 day, 20:27:51 batch_cost: 3.4258 data_cost: 0.0025 ips: 37.3632 images/s [10/15 22:05:03] ppdet.engine INFO: Epoch: [98] [ 60/229] learning_rate: 0.303136 loss_vfl: 0.898614 loss_bbox: 0.336295 loss_dfl: 0.201325 loss: 1.430901 eta: 1 day, 20:26:40 batch_cost: 3.4323 data_cost: 0.0025 ips: 37.2922 images/s [10/15 22:06:14] ppdet.engine INFO: Epoch: [98] [ 80/229] learning_rate: 0.302979 loss_vfl: 0.891030 loss_bbox: 0.343507 loss_dfl: 0.203090 loss: 1.434452 eta: 1 day, 20:25:29 batch_cost: 3.4179 data_cost: 0.0025 ips: 37.4503 images/s [10/15 22:07:25] ppdet.engine INFO: Epoch: [98] [100/229] learning_rate: 0.302822 loss_vfl: 0.900474 loss_bbox: 0.327304 loss_dfl: 0.204621 loss: 1.451293 eta: 1 day, 20:24:18 batch_cost: 3.4202 data_cost: 0.0024 ips: 37.4245 images/s [10/15 22:08:35] ppdet.engine INFO: Epoch: [98] [120/229] learning_rate: 0.302665 loss_vfl: 0.894985 loss_bbox: 0.341947 loss_dfl: 0.207074 loss: 1.434835 eta: 1 day, 20:23:04 batch_cost: 3.3505 data_cost: 0.0025 ips: 38.2037 images/s [10/15 22:09:45] ppdet.engine INFO: Epoch: [98] [140/229] learning_rate: 0.302508 loss_vfl: 0.903441 loss_bbox: 0.336586 loss_dfl: 0.209745 loss: 1.453074 eta: 1 day, 20:21:50 batch_cost: 3.3473 data_cost: 0.0025 ips: 38.2395 images/s [10/15 22:10:57] ppdet.engine INFO: Epoch: [98] [160/229] learning_rate: 0.302351 loss_vfl: 0.884531 loss_bbox: 0.344599 loss_dfl: 0.202210 loss: 1.422485 eta: 1 day, 20:20:39 batch_cost: 3.4118 data_cost: 0.0026 ips: 37.5165 images/s [10/15 22:12:07] ppdet.engine INFO: Epoch: [98] [180/229] learning_rate: 0.302194 loss_vfl: 0.892011 loss_bbox: 0.353305 loss_dfl: 0.213781 loss: 1.478099 eta: 1 day, 20:19:26 batch_cost: 3.3737 data_cost: 0.0024 ips: 37.9411 images/s [10/15 22:13:18] ppdet.engine INFO: Epoch: [98] [200/229] learning_rate: 0.302036 loss_vfl: 0.890902 loss_bbox: 0.342752 loss_dfl: 0.205609 loss: 1.441115 eta: 1 day, 20:18:14 batch_cost: 3.3867 data_cost: 0.0030 ips: 37.7951 images/s [10/15 22:14:24] ppdet.engine INFO: Epoch: [98] [220/229] learning_rate: 0.301879 loss_vfl: 0.892535 loss_bbox: 0.343171 loss_dfl: 0.206682 loss: 1.441328 eta: 1 day, 20:16:53 batch_cost: 3.1822 data_cost: 0.0024 ips: 40.2242 images/s [10/15 22:15:10] ppdet.engine INFO: Epoch: [99] [ 0/229] learning_rate: 0.301808 loss_vfl: 0.886688 loss_bbox: 0.334702 loss_dfl: 0.201143 loss: 1.421769 eta: 1 day, 20:16:43 batch_cost: 3.7528 data_cost: 0.4898 ips: 34.1082 images/s [10/15 22:16:26] ppdet.engine INFO: Epoch: [99] [ 20/229] learning_rate: 0.301651 loss_vfl: 0.897221 loss_bbox: 0.340762 loss_dfl: 0.207844 loss: 1.454544 eta: 1 day, 20:15:39 batch_cost: 3.6102 data_cost: 0.0025 ips: 35.4551 images/s [10/15 22:17:37] ppdet.engine INFO: Epoch: [99] [ 40/229] learning_rate: 0.301493 loss_vfl: 0.887955 loss_bbox: 0.328387 loss_dfl: 0.205290 loss: 1.435389 eta: 1 day, 20:14:28 batch_cost: 3.4207 data_cost: 0.0024 ips: 37.4192 images/s [10/15 22:18:49] ppdet.engine INFO: Epoch: [99] [ 60/229] learning_rate: 0.301336 loss_vfl: 0.897131 loss_bbox: 0.333707 loss_dfl: 0.204126 loss: 1.438960 eta: 1 day, 20:13:19 batch_cost: 3.4555 data_cost: 0.0024 ips: 37.0429 images/s [10/15 22:20:01] ppdet.engine INFO: Epoch: [99] [ 80/229] learning_rate: 0.301178 loss_vfl: 0.894403 loss_bbox: 0.343251 loss_dfl: 0.200495 loss: 1.438199 eta: 1 day, 20:12:08 batch_cost: 3.4350 data_cost: 0.0030 ips: 37.2631 images/s [10/15 22:21:13] ppdet.engine INFO: Epoch: [99] [100/229] learning_rate: 0.301020 loss_vfl: 0.901075 loss_bbox: 0.358035 loss_dfl: 0.208146 loss: 1.461620 eta: 1 day, 20:11:00 batch_cost: 3.4729 data_cost: 0.0026 ips: 36.8572 images/s [10/15 22:22:25] ppdet.engine INFO: Epoch: [99] [120/229] learning_rate: 0.300862 loss_vfl: 0.906529 loss_bbox: 0.355889 loss_dfl: 0.209339 loss: 1.457941 eta: 1 day, 20:09:50 batch_cost: 3.4561 data_cost: 0.0025 ips: 37.0364 images/s [10/15 22:23:35] ppdet.engine INFO: Epoch: [99] [140/229] learning_rate: 0.300704 loss_vfl: 0.901670 loss_bbox: 0.334911 loss_dfl: 0.200357 loss: 1.425197 eta: 1 day, 20:08:36 batch_cost: 3.3454 data_cost: 0.0025 ips: 38.2615 images/s [10/15 22:24:48] ppdet.engine INFO: Epoch: [99] [160/229] learning_rate: 0.300546 loss_vfl: 0.907596 loss_bbox: 0.337641 loss_dfl: 0.205107 loss: 1.442961 eta: 1 day, 20:07:28 batch_cost: 3.4812 data_cost: 0.0027 ips: 36.7689 images/s [10/15 22:25:58] ppdet.engine INFO: Epoch: [99] [180/229] learning_rate: 0.300388 loss_vfl: 0.891472 loss_bbox: 0.351486 loss_dfl: 0.204250 loss: 1.441593 eta: 1 day, 20:06:14 batch_cost: 3.3454 data_cost: 0.0028 ips: 38.2617 images/s [10/15 22:27:08] ppdet.engine INFO: Epoch: [99] [200/229] learning_rate: 0.300230 loss_vfl: 0.898369 loss_bbox: 0.347206 loss_dfl: 0.214964 loss: 1.458735 eta: 1 day, 20:05:01 batch_cost: 3.3891 data_cost: 0.0027 ips: 37.7683 images/s [10/15 22:28:16] ppdet.engine INFO: Epoch: [99] [220/229] learning_rate: 0.300071 loss_vfl: 0.894565 loss_bbox: 0.340608 loss_dfl: 0.204365 loss: 1.447816 eta: 1 day, 20:03:43 batch_cost: 3.2487 data_cost: 0.0032 ips: 39.4009 images/s [10/15 22:28:44] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 22:28:44] ppdet.engine INFO: Eval iter: 0 [10/15 22:29:23] ppdet.engine INFO: Eval iter: 100 [10/15 22:29:45] ppdet.engine INFO: Eval iter: 200 [10/15 22:30:08] ppdet.engine INFO: Eval iter: 300 [10/15 22:30:31] ppdet.engine INFO: Eval iter: 400 [10/15 22:30:54] ppdet.engine INFO: Eval iter: 500 [10/15 22:31:17] ppdet.engine INFO: Eval iter: 600 [10/15 22:31:38] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.64s) creating index... index created! [10/15 22:31:39] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.78s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=96.34s). Accumulating evaluation results... DONE (t=16.91s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.253 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.389 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.262 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.079 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.251 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.434 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 ] = 0.382 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.407 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.132 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 ] = 0.672 [10/15 22:33:39] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.09979402543682 [10/15 22:33:39] ppdet.engine INFO: Best test bbox ap is 0.253. [10/15 22:33:39] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/15 22:33:42] ppdet.engine INFO: Epoch: [100] [ 0/229] learning_rate: 0.300000 loss_vfl: 0.889908 loss_bbox: 0.345085 loss_dfl: 0.203660 loss: 1.444342 eta: 1 day, 20:03:01 batch_cost: 2.9352 data_cost: 0.0031 ips: 43.6084 images/s [10/15 22:34:57] ppdet.engine INFO: Epoch: [100] [ 20/229] learning_rate: 0.299842 loss_vfl: 0.893756 loss_bbox: 0.347321 loss_dfl: 0.204135 loss: 1.434825 eta: 1 day, 20:01:58 batch_cost: 3.6141 data_cost: 0.0029 ips: 35.4172 images/s [10/15 22:36:11] ppdet.engine INFO: Epoch: [100] [ 40/229] learning_rate: 0.299683 loss_vfl: 0.887347 loss_bbox: 0.350506 loss_dfl: 0.208012 loss: 1.458878 eta: 1 day, 20:00:50 batch_cost: 3.5140 data_cost: 0.0027 ips: 36.4254 images/s [10/15 22:37:21] ppdet.engine INFO: Epoch: [100] [ 60/229] learning_rate: 0.299524 loss_vfl: 0.890327 loss_bbox: 0.347285 loss_dfl: 0.206434 loss: 1.441868 eta: 1 day, 19:59:37 batch_cost: 3.3587 data_cost: 0.0024 ips: 38.1102 images/s [10/15 22:38:32] ppdet.engine INFO: Epoch: [100] [ 80/229] learning_rate: 0.299366 loss_vfl: 0.884895 loss_bbox: 0.331019 loss_dfl: 0.200416 loss: 1.420437 eta: 1 day, 19:58:25 batch_cost: 3.4045 data_cost: 0.0023 ips: 37.5976 images/s [10/15 22:39:43] ppdet.engine INFO: Epoch: [100] [100/229] learning_rate: 0.299207 loss_vfl: 0.897039 loss_bbox: 0.341997 loss_dfl: 0.205305 loss: 1.453055 eta: 1 day, 19:57:14 batch_cost: 3.3968 data_cost: 0.0024 ips: 37.6827 images/s [10/15 22:40:53] ppdet.engine INFO: Epoch: [100] [120/229] learning_rate: 0.299048 loss_vfl: 0.903163 loss_bbox: 0.333770 loss_dfl: 0.202878 loss: 1.447302 eta: 1 day, 19:56:01 batch_cost: 3.3693 data_cost: 0.0023 ips: 37.9901 images/s [10/15 22:42:03] ppdet.engine INFO: Epoch: [100] [140/229] learning_rate: 0.298889 loss_vfl: 0.902747 loss_bbox: 0.327395 loss_dfl: 0.202744 loss: 1.437900 eta: 1 day, 19:54:48 batch_cost: 3.3721 data_cost: 0.0024 ips: 37.9590 images/s [10/15 22:43:15] ppdet.engine INFO: Epoch: [100] [160/229] learning_rate: 0.298730 loss_vfl: 0.902430 loss_bbox: 0.346467 loss_dfl: 0.209604 loss: 1.455104 eta: 1 day, 19:53:38 batch_cost: 3.4492 data_cost: 0.0030 ips: 37.1105 images/s [10/15 22:44:25] ppdet.engine INFO: Epoch: [100] [180/229] learning_rate: 0.298571 loss_vfl: 0.897869 loss_bbox: 0.348259 loss_dfl: 0.206078 loss: 1.454643 eta: 1 day, 19:52:24 batch_cost: 3.3421 data_cost: 0.0024 ips: 38.2996 images/s [10/15 22:45:36] ppdet.engine INFO: Epoch: [100] [200/229] learning_rate: 0.298412 loss_vfl: 0.902127 loss_bbox: 0.330844 loss_dfl: 0.203888 loss: 1.437808 eta: 1 day, 19:51:13 batch_cost: 3.4203 data_cost: 0.0026 ips: 37.4238 images/s [10/15 22:46:43] ppdet.engine INFO: Epoch: [100] [220/229] learning_rate: 0.298252 loss_vfl: 0.894125 loss_bbox: 0.334255 loss_dfl: 0.203787 loss: 1.432593 eta: 1 day, 19:49:53 batch_cost: 3.1981 data_cost: 0.0024 ips: 40.0237 images/s [10/15 22:47:40] ppdet.engine INFO: Epoch: [101] [ 0/229] learning_rate: 0.298181 loss_vfl: 0.886224 loss_bbox: 0.329247 loss_dfl: 0.204458 loss: 1.416521 eta: 1 day, 19:50:03 batch_cost: 4.2582 data_cost: 0.3122 ips: 30.0600 images/s [10/15 22:48:53] ppdet.engine INFO: Epoch: [101] [ 20/229] learning_rate: 0.298021 loss_vfl: 0.881895 loss_bbox: 0.332160 loss_dfl: 0.198020 loss: 1.422772 eta: 1 day, 19:48:55 batch_cost: 3.4943 data_cost: 0.0025 ips: 36.6316 images/s [10/15 22:50:05] ppdet.engine INFO: Epoch: [101] [ 40/229] learning_rate: 0.297862 loss_vfl: 0.885591 loss_bbox: 0.336652 loss_dfl: 0.203410 loss: 1.430695 eta: 1 day, 19:47:46 batch_cost: 3.4616 data_cost: 0.0025 ips: 36.9766 images/s [10/15 22:51:17] ppdet.engine INFO: Epoch: [101] [ 60/229] learning_rate: 0.297702 loss_vfl: 0.892795 loss_bbox: 0.348633 loss_dfl: 0.211119 loss: 1.450503 eta: 1 day, 19:46:37 batch_cost: 3.4681 data_cost: 0.0024 ips: 36.9079 images/s [10/15 22:52:29] ppdet.engine INFO: Epoch: [101] [ 80/229] learning_rate: 0.297543 loss_vfl: 0.894971 loss_bbox: 0.325040 loss_dfl: 0.195563 loss: 1.423234 eta: 1 day, 19:45:27 batch_cost: 3.4577 data_cost: 0.0024 ips: 37.0185 images/s [10/15 22:53:41] ppdet.engine INFO: Epoch: [101] [100/229] learning_rate: 0.297383 loss_vfl: 0.880942 loss_bbox: 0.351835 loss_dfl: 0.210956 loss: 1.451379 eta: 1 day, 19:44:18 batch_cost: 3.4538 data_cost: 0.0023 ips: 37.0607 images/s [10/15 22:54:54] ppdet.engine INFO: Epoch: [101] [120/229] learning_rate: 0.297223 loss_vfl: 0.885928 loss_bbox: 0.339429 loss_dfl: 0.201950 loss: 1.438157 eta: 1 day, 19:43:08 batch_cost: 3.4565 data_cost: 0.0026 ips: 37.0312 images/s [10/15 22:56:04] ppdet.engine INFO: Epoch: [101] [140/229] learning_rate: 0.297063 loss_vfl: 0.903551 loss_bbox: 0.331451 loss_dfl: 0.204451 loss: 1.438810 eta: 1 day, 19:41:55 batch_cost: 3.3701 data_cost: 0.0024 ips: 37.9809 images/s [10/15 22:57:16] ppdet.engine INFO: Epoch: [101] [160/229] learning_rate: 0.296903 loss_vfl: 0.899200 loss_bbox: 0.343421 loss_dfl: 0.201907 loss: 1.439872 eta: 1 day, 19:40:44 batch_cost: 3.4165 data_cost: 0.0025 ips: 37.4649 images/s [10/15 22:58:27] ppdet.engine INFO: Epoch: [101] [180/229] learning_rate: 0.296743 loss_vfl: 0.895104 loss_bbox: 0.336903 loss_dfl: 0.207598 loss: 1.453330 eta: 1 day, 19:39:33 batch_cost: 3.4053 data_cost: 0.0025 ips: 37.5884 images/s [10/15 22:59:38] ppdet.engine INFO: Epoch: [101] [200/229] learning_rate: 0.296583 loss_vfl: 0.892690 loss_bbox: 0.345447 loss_dfl: 0.207132 loss: 1.437708 eta: 1 day, 19:38:21 batch_cost: 3.3983 data_cost: 0.0026 ips: 37.6662 images/s [10/15 23:00:48] ppdet.engine INFO: Epoch: [101] [220/229] learning_rate: 0.296423 loss_vfl: 0.887612 loss_bbox: 0.330121 loss_dfl: 0.198370 loss: 1.435989 eta: 1 day, 19:37:07 batch_cost: 3.3333 data_cost: 0.0025 ips: 38.4003 images/s [10/15 23:01:42] ppdet.engine INFO: Epoch: [102] [ 0/229] learning_rate: 0.296351 loss_vfl: 0.886243 loss_bbox: 0.363973 loss_dfl: 0.208051 loss: 1.450230 eta: 1 day, 19:37:12 batch_cost: 4.2918 data_cost: 0.4616 ips: 29.8243 images/s [10/15 23:02:55] ppdet.engine INFO: Epoch: [102] [ 20/229] learning_rate: 0.296190 loss_vfl: 0.885980 loss_bbox: 0.333814 loss_dfl: 0.203436 loss: 1.429893 eta: 1 day, 19:36:02 batch_cost: 3.4614 data_cost: 0.0028 ips: 36.9797 images/s [10/15 23:04:07] ppdet.engine INFO: Epoch: [102] [ 40/229] learning_rate: 0.296030 loss_vfl: 0.889621 loss_bbox: 0.332305 loss_dfl: 0.199348 loss: 1.416714 eta: 1 day, 19:34:53 batch_cost: 3.4710 data_cost: 0.0030 ips: 36.8773 images/s [10/15 23:05:18] ppdet.engine INFO: Epoch: [102] [ 60/229] learning_rate: 0.295869 loss_vfl: 0.888186 loss_bbox: 0.338344 loss_dfl: 0.202147 loss: 1.438113 eta: 1 day, 19:33:41 batch_cost: 3.3944 data_cost: 0.0028 ips: 37.7091 images/s [10/15 23:06:28] ppdet.engine INFO: Epoch: [102] [ 80/229] learning_rate: 0.295709 loss_vfl: 0.882625 loss_bbox: 0.343360 loss_dfl: 0.200638 loss: 1.433109 eta: 1 day, 19:32:28 batch_cost: 3.3551 data_cost: 0.0026 ips: 38.1508 images/s [10/15 23:07:38] ppdet.engine INFO: Epoch: [102] [100/229] learning_rate: 0.295548 loss_vfl: 0.878579 loss_bbox: 0.347917 loss_dfl: 0.205191 loss: 1.433984 eta: 1 day, 19:31:15 batch_cost: 3.3540 data_cost: 0.0024 ips: 38.1636 images/s [10/15 23:08:48] ppdet.engine INFO: Epoch: [102] [120/229] learning_rate: 0.295388 loss_vfl: 0.885701 loss_bbox: 0.335829 loss_dfl: 0.200926 loss: 1.419262 eta: 1 day, 19:30:02 batch_cost: 3.3723 data_cost: 0.0025 ips: 37.9563 images/s [10/15 23:09:57] ppdet.engine INFO: Epoch: [102] [140/229] learning_rate: 0.295227 loss_vfl: 0.889703 loss_bbox: 0.343533 loss_dfl: 0.204413 loss: 1.443560 eta: 1 day, 19:28:46 batch_cost: 3.3052 data_cost: 0.0026 ips: 38.7268 images/s [10/15 23:11:07] ppdet.engine INFO: Epoch: [102] [160/229] learning_rate: 0.295066 loss_vfl: 0.881007 loss_bbox: 0.344891 loss_dfl: 0.205981 loss: 1.440296 eta: 1 day, 19:27:32 batch_cost: 3.3206 data_cost: 0.0024 ips: 38.5469 images/s [10/15 23:12:17] ppdet.engine INFO: Epoch: [102] [180/229] learning_rate: 0.294905 loss_vfl: 0.889711 loss_bbox: 0.357347 loss_dfl: 0.209152 loss: 1.457215 eta: 1 day, 19:26:19 batch_cost: 3.3803 data_cost: 0.0024 ips: 37.8670 images/s [10/15 23:13:26] ppdet.engine INFO: Epoch: [102] [200/229] learning_rate: 0.294744 loss_vfl: 0.895775 loss_bbox: 0.334018 loss_dfl: 0.203177 loss: 1.438528 eta: 1 day, 19:25:03 batch_cost: 3.2768 data_cost: 0.0024 ips: 39.0624 images/s [10/15 23:14:35] ppdet.engine INFO: Epoch: [102] [220/229] learning_rate: 0.294583 loss_vfl: 0.906290 loss_bbox: 0.343480 loss_dfl: 0.208523 loss: 1.465629 eta: 1 day, 19:23:49 batch_cost: 3.3295 data_cost: 0.0026 ips: 38.4437 images/s [10/15 23:15:32] ppdet.engine INFO: Epoch: [103] [ 0/229] learning_rate: 0.294510 loss_vfl: 0.907302 loss_bbox: 0.339299 loss_dfl: 0.206289 loss: 1.454055 eta: 1 day, 19:23:56 batch_cost: 4.3923 data_cost: 0.6083 ips: 29.1421 images/s [10/15 23:16:45] ppdet.engine INFO: Epoch: [103] [ 20/229] learning_rate: 0.294349 loss_vfl: 0.896412 loss_bbox: 0.340214 loss_dfl: 0.207743 loss: 1.453228 eta: 1 day, 19:22:48 batch_cost: 3.5050 data_cost: 0.0036 ips: 36.5197 images/s [10/15 23:17:56] ppdet.engine INFO: Epoch: [103] [ 40/229] learning_rate: 0.294188 loss_vfl: 0.879629 loss_bbox: 0.324621 loss_dfl: 0.200072 loss: 1.409038 eta: 1 day, 19:21:38 batch_cost: 3.4369 data_cost: 0.0025 ips: 37.2425 images/s [10/15 23:19:08] ppdet.engine INFO: Epoch: [103] [ 60/229] learning_rate: 0.294026 loss_vfl: 0.889945 loss_bbox: 0.318004 loss_dfl: 0.198803 loss: 1.426321 eta: 1 day, 19:20:27 batch_cost: 3.4137 data_cost: 0.0028 ips: 37.4957 images/s [10/15 23:20:18] ppdet.engine INFO: Epoch: [103] [ 80/229] learning_rate: 0.293865 loss_vfl: 0.889953 loss_bbox: 0.339390 loss_dfl: 0.200038 loss: 1.435934 eta: 1 day, 19:19:13 batch_cost: 3.3571 data_cost: 0.0024 ips: 38.1283 images/s [10/15 23:21:28] ppdet.engine INFO: Epoch: [103] [100/229] learning_rate: 0.293703 loss_vfl: 0.890719 loss_bbox: 0.346671 loss_dfl: 0.207339 loss: 1.444176 eta: 1 day, 19:18:01 batch_cost: 3.3674 data_cost: 0.0025 ips: 38.0112 images/s [10/15 23:22:38] ppdet.engine INFO: Epoch: [103] [120/229] learning_rate: 0.293542 loss_vfl: 0.887821 loss_bbox: 0.346917 loss_dfl: 0.199865 loss: 1.438182 eta: 1 day, 19:16:48 batch_cost: 3.3654 data_cost: 0.0025 ips: 38.0343 images/s [10/15 23:23:48] ppdet.engine INFO: Epoch: [103] [140/229] learning_rate: 0.293380 loss_vfl: 0.889113 loss_bbox: 0.346140 loss_dfl: 0.206208 loss: 1.441928 eta: 1 day, 19:15:34 batch_cost: 3.3520 data_cost: 0.0025 ips: 38.1858 images/s [10/15 23:25:00] ppdet.engine INFO: Epoch: [103] [160/229] learning_rate: 0.293218 loss_vfl: 0.882709 loss_bbox: 0.343988 loss_dfl: 0.210363 loss: 1.446220 eta: 1 day, 19:14:23 batch_cost: 3.4206 data_cost: 0.0026 ips: 37.4200 images/s [10/15 23:26:11] ppdet.engine INFO: Epoch: [103] [180/229] learning_rate: 0.293056 loss_vfl: 0.889552 loss_bbox: 0.353722 loss_dfl: 0.209060 loss: 1.452396 eta: 1 day, 19:13:12 batch_cost: 3.3984 data_cost: 0.0024 ips: 37.6653 images/s [10/15 23:27:21] ppdet.engine INFO: Epoch: [103] [200/229] learning_rate: 0.292894 loss_vfl: 0.879943 loss_bbox: 0.349726 loss_dfl: 0.205556 loss: 1.437838 eta: 1 day, 19:11:59 batch_cost: 3.3826 data_cost: 0.0024 ips: 37.8408 images/s [10/15 23:28:31] ppdet.engine INFO: Epoch: [103] [220/229] learning_rate: 0.292732 loss_vfl: 0.902955 loss_bbox: 0.343236 loss_dfl: 0.208789 loss: 1.458480 eta: 1 day, 19:10:45 batch_cost: 3.3421 data_cost: 0.0026 ips: 38.2990 images/s [10/15 23:29:23] ppdet.engine INFO: Epoch: [104] [ 0/229] learning_rate: 0.292659 loss_vfl: 0.891655 loss_bbox: 0.345487 loss_dfl: 0.208025 loss: 1.450451 eta: 1 day, 19:10:45 batch_cost: 4.1375 data_cost: 0.4127 ips: 30.9364 images/s [10/15 23:30:35] ppdet.engine INFO: Epoch: [104] [ 20/229] learning_rate: 0.292497 loss_vfl: 0.889646 loss_bbox: 0.357535 loss_dfl: 0.214540 loss: 1.458712 eta: 1 day, 19:09:35 batch_cost: 3.4400 data_cost: 0.0032 ips: 37.2096 images/s [10/15 23:31:48] ppdet.engine INFO: Epoch: [104] [ 40/229] learning_rate: 0.292335 loss_vfl: 0.894581 loss_bbox: 0.328837 loss_dfl: 0.198878 loss: 1.416539 eta: 1 day, 19:08:26 batch_cost: 3.4816 data_cost: 0.0030 ips: 36.7652 images/s [10/15 23:32:59] ppdet.engine INFO: Epoch: [104] [ 60/229] learning_rate: 0.292173 loss_vfl: 0.897107 loss_bbox: 0.349362 loss_dfl: 0.208968 loss: 1.464558 eta: 1 day, 19:07:15 batch_cost: 3.4231 data_cost: 0.0026 ips: 37.3931 images/s [10/15 23:34:09] ppdet.engine INFO: Epoch: [104] [ 80/229] learning_rate: 0.292010 loss_vfl: 0.897007 loss_bbox: 0.339422 loss_dfl: 0.201957 loss: 1.430578 eta: 1 day, 19:06:02 batch_cost: 3.3405 data_cost: 0.0024 ips: 38.3179 images/s [10/15 23:35:20] ppdet.engine INFO: Epoch: [104] [100/229] learning_rate: 0.291848 loss_vfl: 0.895811 loss_bbox: 0.328609 loss_dfl: 0.206066 loss: 1.445091 eta: 1 day, 19:04:50 batch_cost: 3.3926 data_cost: 0.0034 ips: 37.7289 images/s [10/15 23:36:30] ppdet.engine INFO: Epoch: [104] [120/229] learning_rate: 0.291685 loss_vfl: 0.897361 loss_bbox: 0.318426 loss_dfl: 0.198182 loss: 1.420129 eta: 1 day, 19:03:37 batch_cost: 3.3711 data_cost: 0.0025 ips: 37.9700 images/s [10/15 23:37:40] ppdet.engine INFO: Epoch: [104] [140/229] learning_rate: 0.291523 loss_vfl: 0.896157 loss_bbox: 0.349043 loss_dfl: 0.203820 loss: 1.446373 eta: 1 day, 19:02:24 batch_cost: 3.3638 data_cost: 0.0024 ips: 38.0519 images/s [10/15 23:38:50] ppdet.engine INFO: Epoch: [104] [160/229] learning_rate: 0.291360 loss_vfl: 0.896788 loss_bbox: 0.339852 loss_dfl: 0.205484 loss: 1.448704 eta: 1 day, 19:01:10 batch_cost: 3.3326 data_cost: 0.0025 ips: 38.4080 images/s [10/15 23:40:01] ppdet.engine INFO: Epoch: [104] [180/229] learning_rate: 0.291197 loss_vfl: 0.890338 loss_bbox: 0.341004 loss_dfl: 0.204415 loss: 1.424843 eta: 1 day, 18:59:59 batch_cost: 3.4235 data_cost: 0.0024 ips: 37.3889 images/s [10/15 23:41:13] ppdet.engine INFO: Epoch: [104] [200/229] learning_rate: 0.291034 loss_vfl: 0.880722 loss_bbox: 0.347643 loss_dfl: 0.205883 loss: 1.434083 eta: 1 day, 18:58:48 batch_cost: 3.4090 data_cost: 0.0028 ips: 37.5482 images/s [10/15 23:42:21] ppdet.engine INFO: Epoch: [104] [220/229] learning_rate: 0.290871 loss_vfl: 0.890424 loss_bbox: 0.330799 loss_dfl: 0.195693 loss: 1.403442 eta: 1 day, 18:57:33 batch_cost: 3.3035 data_cost: 0.0024 ips: 38.7470 images/s [10/15 23:43:20] ppdet.engine INFO: Epoch: [105] [ 0/229] learning_rate: 0.290798 loss_vfl: 0.893555 loss_bbox: 0.345637 loss_dfl: 0.202422 loss: 1.440784 eta: 1 day, 18:57:43 batch_cost: 4.4118 data_cost: 0.4978 ips: 29.0130 images/s [10/15 23:44:34] ppdet.engine INFO: Epoch: [105] [ 20/229] learning_rate: 0.290635 loss_vfl: 0.892759 loss_bbox: 0.344487 loss_dfl: 0.202821 loss: 1.426240 eta: 1 day, 18:56:37 batch_cost: 3.5539 data_cost: 0.0027 ips: 36.0166 images/s [10/15 23:45:47] ppdet.engine INFO: Epoch: [105] [ 40/229] learning_rate: 0.290472 loss_vfl: 0.887845 loss_bbox: 0.339794 loss_dfl: 0.207495 loss: 1.439212 eta: 1 day, 18:55:29 batch_cost: 3.4907 data_cost: 0.0026 ips: 36.6692 images/s [10/15 23:47:01] ppdet.engine INFO: Epoch: [105] [ 60/229] learning_rate: 0.290309 loss_vfl: 0.904449 loss_bbox: 0.331563 loss_dfl: 0.198867 loss: 1.408307 eta: 1 day, 18:54:25 batch_cost: 3.5934 data_cost: 0.0024 ips: 35.6210 images/s [10/15 23:48:13] ppdet.engine INFO: Epoch: [105] [ 80/229] learning_rate: 0.290146 loss_vfl: 0.891407 loss_bbox: 0.335549 loss_dfl: 0.206424 loss: 1.446243 eta: 1 day, 18:53:14 batch_cost: 3.4165 data_cost: 0.0023 ips: 37.4650 images/s [10/15 23:49:24] ppdet.engine INFO: Epoch: [105] [100/229] learning_rate: 0.289982 loss_vfl: 0.893351 loss_bbox: 0.329978 loss_dfl: 0.202445 loss: 1.417867 eta: 1 day, 18:52:03 batch_cost: 3.4168 data_cost: 0.0025 ips: 37.4618 images/s [10/15 23:50:37] ppdet.engine INFO: Epoch: [105] [120/229] learning_rate: 0.289819 loss_vfl: 0.891288 loss_bbox: 0.335307 loss_dfl: 0.198904 loss: 1.410517 eta: 1 day, 18:50:54 batch_cost: 3.4921 data_cost: 0.0031 ips: 36.6545 images/s [10/15 23:51:48] ppdet.engine INFO: Epoch: [105] [140/229] learning_rate: 0.289655 loss_vfl: 0.880303 loss_bbox: 0.339752 loss_dfl: 0.203355 loss: 1.437982 eta: 1 day, 18:49:42 batch_cost: 3.3900 data_cost: 0.0024 ips: 37.7578 images/s [10/15 23:52:57] ppdet.engine INFO: Epoch: [105] [160/229] learning_rate: 0.289492 loss_vfl: 0.893127 loss_bbox: 0.330998 loss_dfl: 0.207904 loss: 1.451618 eta: 1 day, 18:48:27 batch_cost: 3.2820 data_cost: 0.0024 ips: 39.0008 images/s [10/15 23:54:07] ppdet.engine INFO: Epoch: [105] [180/229] learning_rate: 0.289328 loss_vfl: 0.893668 loss_bbox: 0.336885 loss_dfl: 0.203987 loss: 1.430583 eta: 1 day, 18:47:14 batch_cost: 3.3630 data_cost: 0.0023 ips: 38.0615 images/s [10/15 23:55:18] ppdet.engine INFO: Epoch: [105] [200/229] learning_rate: 0.289165 loss_vfl: 0.887942 loss_bbox: 0.336129 loss_dfl: 0.201961 loss: 1.423595 eta: 1 day, 18:46:02 batch_cost: 3.4116 data_cost: 0.0026 ips: 37.5194 images/s [10/15 23:56:28] ppdet.engine INFO: Epoch: [105] [220/229] learning_rate: 0.289001 loss_vfl: 0.897606 loss_bbox: 0.333195 loss_dfl: 0.198841 loss: 1.434878 eta: 1 day, 18:44:48 batch_cost: 3.3230 data_cost: 0.0033 ips: 38.5189 images/s [10/15 23:57:20] ppdet.engine INFO: Epoch: [106] [ 0/229] learning_rate: 0.288927 loss_vfl: 0.895792 loss_bbox: 0.333227 loss_dfl: 0.200015 loss: 1.433940 eta: 1 day, 18:44:48 batch_cost: 4.1965 data_cost: 0.4072 ips: 30.5020 images/s [10/15 23:58:35] ppdet.engine INFO: Epoch: [106] [ 20/229] learning_rate: 0.288763 loss_vfl: 0.905538 loss_bbox: 0.340073 loss_dfl: 0.209224 loss: 1.452858 eta: 1 day, 18:43:43 batch_cost: 3.5679 data_cost: 0.0028 ips: 35.8751 images/s [10/15 23:59:47] ppdet.engine INFO: Epoch: [106] [ 40/229] learning_rate: 0.288599 loss_vfl: 0.885040 loss_bbox: 0.334303 loss_dfl: 0.200621 loss: 1.424515 eta: 1 day, 18:42:33 batch_cost: 3.4604 data_cost: 0.0026 ips: 36.9894 images/s [10/16 00:00:57] ppdet.engine INFO: Epoch: [106] [ 60/229] learning_rate: 0.288435 loss_vfl: 0.893512 loss_bbox: 0.322335 loss_dfl: 0.199450 loss: 1.409647 eta: 1 day, 18:41:21 batch_cost: 3.3771 data_cost: 0.0025 ips: 37.9020 images/s [10/16 00:02:08] ppdet.engine INFO: Epoch: [106] [ 80/229] learning_rate: 0.288271 loss_vfl: 0.873001 loss_bbox: 0.344192 loss_dfl: 0.202278 loss: 1.431427 eta: 1 day, 18:40:09 batch_cost: 3.4028 data_cost: 0.0024 ips: 37.6166 images/s [10/16 00:03:19] ppdet.engine INFO: Epoch: [106] [100/229] learning_rate: 0.288107 loss_vfl: 0.897592 loss_bbox: 0.344671 loss_dfl: 0.202524 loss: 1.414268 eta: 1 day, 18:38:57 batch_cost: 3.3849 data_cost: 0.0024 ips: 37.8149 images/s [10/16 00:04:31] ppdet.engine INFO: Epoch: [106] [120/229] learning_rate: 0.287943 loss_vfl: 0.880330 loss_bbox: 0.345612 loss_dfl: 0.202272 loss: 1.426370 eta: 1 day, 18:37:46 batch_cost: 3.4246 data_cost: 0.0025 ips: 37.3763 images/s [10/16 00:05:42] ppdet.engine INFO: Epoch: [106] [140/229] learning_rate: 0.287778 loss_vfl: 0.872631 loss_bbox: 0.340299 loss_dfl: 0.204911 loss: 1.433706 eta: 1 day, 18:36:34 batch_cost: 3.3750 data_cost: 0.0034 ips: 37.9257 images/s [10/16 00:06:52] ppdet.engine INFO: Epoch: [106] [160/229] learning_rate: 0.287614 loss_vfl: 0.878557 loss_bbox: 0.332935 loss_dfl: 0.199333 loss: 1.405041 eta: 1 day, 18:35:20 batch_cost: 3.3479 data_cost: 0.0025 ips: 38.2331 images/s [10/16 00:08:01] ppdet.engine INFO: Epoch: [106] [180/229] learning_rate: 0.287449 loss_vfl: 0.885527 loss_bbox: 0.355108 loss_dfl: 0.209231 loss: 1.441942 eta: 1 day, 18:34:06 batch_cost: 3.3292 data_cost: 0.0025 ips: 38.4477 images/s [10/16 00:09:11] ppdet.engine INFO: Epoch: [106] [200/229] learning_rate: 0.287285 loss_vfl: 0.893222 loss_bbox: 0.350834 loss_dfl: 0.203443 loss: 1.436296 eta: 1 day, 18:32:54 batch_cost: 3.3717 data_cost: 0.0024 ips: 37.9629 images/s [10/16 00:10:18] ppdet.engine INFO: Epoch: [106] [220/229] learning_rate: 0.287120 loss_vfl: 0.901349 loss_bbox: 0.348311 loss_dfl: 0.205958 loss: 1.468975 eta: 1 day, 18:31:35 batch_cost: 3.1971 data_cost: 0.0024 ips: 40.0357 images/s [10/16 00:11:12] ppdet.engine INFO: Epoch: [107] [ 0/229] learning_rate: 0.287046 loss_vfl: 0.895754 loss_bbox: 0.333807 loss_dfl: 0.202043 loss: 1.426224 eta: 1 day, 18:31:35 batch_cost: 4.1163 data_cost: 0.4394 ips: 31.0961 images/s [10/16 00:12:21] ppdet.engine INFO: Epoch: [107] [ 20/229] learning_rate: 0.286882 loss_vfl: 0.877807 loss_bbox: 0.334988 loss_dfl: 0.199293 loss: 1.399497 eta: 1 day, 18:30:21 batch_cost: 3.3275 data_cost: 0.0023 ips: 38.4676 images/s [10/16 00:13:31] ppdet.engine INFO: Epoch: [107] [ 40/229] learning_rate: 0.286717 loss_vfl: 0.887023 loss_bbox: 0.345680 loss_dfl: 0.208197 loss: 1.447336 eta: 1 day, 18:29:08 batch_cost: 3.3512 data_cost: 0.0023 ips: 38.1953 images/s [10/16 00:14:40] ppdet.engine INFO: Epoch: [107] [ 60/229] learning_rate: 0.286552 loss_vfl: 0.898701 loss_bbox: 0.373731 loss_dfl: 0.218253 loss: 1.476667 eta: 1 day, 18:27:53 batch_cost: 3.3180 data_cost: 0.0024 ips: 38.5770 images/s [10/16 00:15:51] ppdet.engine INFO: Epoch: [107] [ 80/229] learning_rate: 0.286387 loss_vfl: 0.864562 loss_bbox: 0.333578 loss_dfl: 0.200274 loss: 1.418096 eta: 1 day, 18:26:41 batch_cost: 3.3882 data_cost: 0.0025 ips: 37.7779 images/s [10/16 00:17:02] ppdet.engine INFO: Epoch: [107] [100/229] learning_rate: 0.286222 loss_vfl: 0.880041 loss_bbox: 0.341190 loss_dfl: 0.202583 loss: 1.425951 eta: 1 day, 18:25:28 batch_cost: 3.3613 data_cost: 0.0024 ips: 38.0804 images/s [10/16 00:18:12] ppdet.engine INFO: Epoch: [107] [120/229] learning_rate: 0.286057 loss_vfl: 0.877726 loss_bbox: 0.339451 loss_dfl: 0.199021 loss: 1.422828 eta: 1 day, 18:24:16 batch_cost: 3.3877 data_cost: 0.0023 ips: 37.7837 images/s [10/16 00:19:23] ppdet.engine INFO: Epoch: [107] [140/229] learning_rate: 0.285892 loss_vfl: 0.894835 loss_bbox: 0.333631 loss_dfl: 0.200781 loss: 1.431408 eta: 1 day, 18:23:03 batch_cost: 3.3601 data_cost: 0.0024 ips: 38.0937 images/s [10/16 00:20:34] ppdet.engine INFO: Epoch: [107] [160/229] learning_rate: 0.285726 loss_vfl: 0.880719 loss_bbox: 0.321614 loss_dfl: 0.195635 loss: 1.418602 eta: 1 day, 18:21:53 batch_cost: 3.4261 data_cost: 0.0024 ips: 37.3606 images/s [10/16 00:21:45] ppdet.engine INFO: Epoch: [107] [180/229] learning_rate: 0.285561 loss_vfl: 0.897041 loss_bbox: 0.341401 loss_dfl: 0.207658 loss: 1.443342 eta: 1 day, 18:20:42 batch_cost: 3.4140 data_cost: 0.0025 ips: 37.4924 images/s [10/16 00:22:56] ppdet.engine INFO: Epoch: [107] [200/229] learning_rate: 0.285396 loss_vfl: 0.896213 loss_bbox: 0.330219 loss_dfl: 0.195646 loss: 1.414006 eta: 1 day, 18:19:29 batch_cost: 3.3649 data_cost: 0.0026 ips: 38.0403 images/s [10/16 00:24:04] ppdet.engine INFO: Epoch: [107] [220/229] learning_rate: 0.285230 loss_vfl: 0.893784 loss_bbox: 0.351166 loss_dfl: 0.208928 loss: 1.463636 eta: 1 day, 18:18:12 batch_cost: 3.2462 data_cost: 0.0024 ips: 39.4305 images/s [10/16 00:24:58] ppdet.engine INFO: Epoch: [108] [ 0/229] learning_rate: 0.285156 loss_vfl: 0.890550 loss_bbox: 0.335735 loss_dfl: 0.203851 loss: 1.444858 eta: 1 day, 18:18:15 batch_cost: 4.1881 data_cost: 0.8370 ips: 30.5627 images/s [10/16 00:26:09] ppdet.engine INFO: Epoch: [108] [ 20/229] learning_rate: 0.284990 loss_vfl: 0.877080 loss_bbox: 0.351027 loss_dfl: 0.200831 loss: 1.433579 eta: 1 day, 18:17:02 batch_cost: 3.3701 data_cost: 0.0025 ips: 37.9811 images/s [10/16 00:27:19] ppdet.engine INFO: Epoch: [108] [ 40/229] learning_rate: 0.284825 loss_vfl: 0.871391 loss_bbox: 0.344350 loss_dfl: 0.203349 loss: 1.407438 eta: 1 day, 18:15:49 batch_cost: 3.3734 data_cost: 0.0024 ips: 37.9436 images/s [10/16 00:28:30] ppdet.engine INFO: Epoch: [108] [ 60/229] learning_rate: 0.284659 loss_vfl: 0.889139 loss_bbox: 0.344208 loss_dfl: 0.201462 loss: 1.429344 eta: 1 day, 18:14:38 batch_cost: 3.3948 data_cost: 0.0023 ips: 37.7046 images/s [10/16 00:29:41] ppdet.engine INFO: Epoch: [108] [ 80/229] learning_rate: 0.284493 loss_vfl: 0.887133 loss_bbox: 0.331960 loss_dfl: 0.204242 loss: 1.436698 eta: 1 day, 18:13:27 batch_cost: 3.4166 data_cost: 0.0025 ips: 37.4638 images/s [10/16 00:30:53] ppdet.engine INFO: Epoch: [108] [100/229] learning_rate: 0.284327 loss_vfl: 0.881302 loss_bbox: 0.332873 loss_dfl: 0.198920 loss: 1.397765 eta: 1 day, 18:12:16 batch_cost: 3.4123 data_cost: 0.0024 ips: 37.5115 images/s [10/16 00:32:03] ppdet.engine INFO: Epoch: [108] [120/229] learning_rate: 0.284162 loss_vfl: 0.885117 loss_bbox: 0.353806 loss_dfl: 0.206347 loss: 1.444925 eta: 1 day, 18:11:04 batch_cost: 3.3810 data_cost: 0.0023 ips: 37.8589 images/s [10/16 00:33:15] ppdet.engine INFO: Epoch: [108] [140/229] learning_rate: 0.283996 loss_vfl: 0.885662 loss_bbox: 0.335262 loss_dfl: 0.206225 loss: 1.429218 eta: 1 day, 18:09:53 batch_cost: 3.4352 data_cost: 0.0024 ips: 37.2612 images/s [10/16 00:34:24] ppdet.engine INFO: Epoch: [108] [160/229] learning_rate: 0.283830 loss_vfl: 0.882059 loss_bbox: 0.351386 loss_dfl: 0.210982 loss: 1.449211 eta: 1 day, 18:08:39 batch_cost: 3.3244 data_cost: 0.0025 ips: 38.5027 images/s [10/16 00:35:37] ppdet.engine INFO: Epoch: [108] [180/229] learning_rate: 0.283663 loss_vfl: 0.887345 loss_bbox: 0.347635 loss_dfl: 0.208832 loss: 1.427707 eta: 1 day, 18:07:30 batch_cost: 3.4723 data_cost: 0.0030 ips: 36.8630 images/s [10/16 00:36:48] ppdet.engine INFO: Epoch: [108] [200/229] learning_rate: 0.283497 loss_vfl: 0.885130 loss_bbox: 0.340192 loss_dfl: 0.198537 loss: 1.443257 eta: 1 day, 18:06:19 batch_cost: 3.4101 data_cost: 0.0024 ips: 37.5354 images/s [10/16 00:37:55] ppdet.engine INFO: Epoch: [108] [220/229] learning_rate: 0.283331 loss_vfl: 0.886405 loss_bbox: 0.343412 loss_dfl: 0.207944 loss: 1.440118 eta: 1 day, 18:05:01 batch_cost: 3.2161 data_cost: 0.0023 ips: 39.7991 images/s [10/16 00:38:47] ppdet.engine INFO: Epoch: [109] [ 0/229] learning_rate: 0.283256 loss_vfl: 0.886087 loss_bbox: 0.341188 loss_dfl: 0.204806 loss: 1.424052 eta: 1 day, 18:04:57 batch_cost: 3.9963 data_cost: 0.3219 ips: 32.0297 images/s [10/16 00:39:58] ppdet.engine INFO: Epoch: [109] [ 20/229] learning_rate: 0.283090 loss_vfl: 0.894269 loss_bbox: 0.349161 loss_dfl: 0.211841 loss: 1.456285 eta: 1 day, 18:03:47 batch_cost: 3.4216 data_cost: 0.0026 ips: 37.4091 images/s [10/16 00:41:10] ppdet.engine INFO: Epoch: [109] [ 40/229] learning_rate: 0.282923 loss_vfl: 0.879626 loss_bbox: 0.333088 loss_dfl: 0.202449 loss: 1.414908 eta: 1 day, 18:02:35 batch_cost: 3.4115 data_cost: 0.0024 ips: 37.5206 images/s [10/16 00:42:21] ppdet.engine INFO: Epoch: [109] [ 60/229] learning_rate: 0.282757 loss_vfl: 0.881140 loss_bbox: 0.332549 loss_dfl: 0.199832 loss: 1.416444 eta: 1 day, 18:01:24 batch_cost: 3.4067 data_cost: 0.0025 ips: 37.5727 images/s [10/16 00:43:31] ppdet.engine INFO: Epoch: [109] [ 80/229] learning_rate: 0.282590 loss_vfl: 0.895271 loss_bbox: 0.346602 loss_dfl: 0.208212 loss: 1.437226 eta: 1 day, 18:00:11 batch_cost: 3.3394 data_cost: 0.0026 ips: 38.3305 images/s [10/16 00:44:41] ppdet.engine INFO: Epoch: [109] [100/229] learning_rate: 0.282424 loss_vfl: 0.884566 loss_bbox: 0.336662 loss_dfl: 0.199217 loss: 1.427112 eta: 1 day, 17:58:59 batch_cost: 3.3897 data_cost: 0.0024 ips: 37.7613 images/s [10/16 00:45:53] ppdet.engine INFO: Epoch: [109] [120/229] learning_rate: 0.282257 loss_vfl: 0.894934 loss_bbox: 0.347838 loss_dfl: 0.209825 loss: 1.448237 eta: 1 day, 17:57:49 batch_cost: 3.4369 data_cost: 0.0026 ips: 37.2429 images/s [10/16 00:47:04] ppdet.engine INFO: Epoch: [109] [140/229] learning_rate: 0.282090 loss_vfl: 0.894098 loss_bbox: 0.332139 loss_dfl: 0.207221 loss: 1.437782 eta: 1 day, 17:56:38 batch_cost: 3.4219 data_cost: 0.0025 ips: 37.4058 images/s [10/16 00:48:16] ppdet.engine INFO: Epoch: [109] [160/229] learning_rate: 0.281923 loss_vfl: 0.885630 loss_bbox: 0.341030 loss_dfl: 0.199903 loss: 1.431495 eta: 1 day, 17:55:27 batch_cost: 3.4135 data_cost: 0.0025 ips: 37.4986 images/s [10/16 00:49:27] ppdet.engine INFO: Epoch: [109] [180/229] learning_rate: 0.281757 loss_vfl: 0.878384 loss_bbox: 0.349732 loss_dfl: 0.205392 loss: 1.440288 eta: 1 day, 17:54:16 batch_cost: 3.4229 data_cost: 0.0024 ips: 37.3949 images/s [10/16 00:50:38] ppdet.engine INFO: Epoch: [109] [200/229] learning_rate: 0.281590 loss_vfl: 0.882680 loss_bbox: 0.347612 loss_dfl: 0.204207 loss: 1.421137 eta: 1 day, 17:53:05 batch_cost: 3.4045 data_cost: 0.0025 ips: 37.5972 images/s [10/16 00:51:44] ppdet.engine INFO: Epoch: [109] [220/229] learning_rate: 0.281423 loss_vfl: 0.896070 loss_bbox: 0.344606 loss_dfl: 0.204499 loss: 1.463819 eta: 1 day, 17:51:44 batch_cost: 3.1349 data_cost: 0.0023 ips: 40.8304 images/s [10/16 00:52:12] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 00:52:12] ppdet.engine INFO: Eval iter: 0 [10/16 00:52:53] ppdet.engine INFO: Eval iter: 100 [10/16 00:53:16] ppdet.engine INFO: Eval iter: 200 [10/16 00:53:38] ppdet.engine INFO: Eval iter: 300 [10/16 00:54:01] ppdet.engine INFO: Eval iter: 400 [10/16 00:54:23] ppdet.engine INFO: Eval iter: 500 [10/16 00:54:47] ppdet.engine INFO: Eval iter: 600 [10/16 00:55:08] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.00s) creating index... index created! [10/16 00:55:09] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.89s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=95.22s). Accumulating evaluation results... DONE (t=16.77s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.255 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.391 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.264 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.075 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 ] = 0.439 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 ] = 0.382 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 ] = 0.133 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.448 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.669 [10/16 00:57:07] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.860598551358986 [10/16 00:57:07] ppdet.engine INFO: Best test bbox ap is 0.255. [10/16 00:57:08] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 00:57:11] ppdet.engine INFO: Epoch: [110] [ 0/229] learning_rate: 0.281347 loss_vfl: 0.896710 loss_bbox: 0.343402 loss_dfl: 0.203773 loss: 1.456338 eta: 1 day, 17:51:04 batch_cost: 2.9464 data_cost: 0.0023 ips: 43.4428 images/s [10/16 00:58:26] ppdet.engine INFO: Epoch: [110] [ 20/229] learning_rate: 0.281180 loss_vfl: 0.881532 loss_bbox: 0.343493 loss_dfl: 0.204846 loss: 1.420181 eta: 1 day, 17:50:01 batch_cost: 3.6277 data_cost: 0.0027 ips: 35.2841 images/s [10/16 00:59:39] ppdet.engine INFO: Epoch: [110] [ 40/229] learning_rate: 0.281013 loss_vfl: 0.891270 loss_bbox: 0.327772 loss_dfl: 0.204135 loss: 1.426864 eta: 1 day, 17:48:51 batch_cost: 3.4650 data_cost: 0.0025 ips: 36.9405 images/s [10/16 01:00:52] ppdet.engine INFO: Epoch: [110] [ 60/229] learning_rate: 0.280846 loss_vfl: 0.885237 loss_bbox: 0.342714 loss_dfl: 0.203482 loss: 1.431905 eta: 1 day, 17:47:44 batch_cost: 3.5177 data_cost: 0.0025 ips: 36.3876 images/s [10/16 01:02:04] ppdet.engine INFO: Epoch: [110] [ 80/229] learning_rate: 0.280678 loss_vfl: 0.894860 loss_bbox: 0.339440 loss_dfl: 0.200154 loss: 1.431053 eta: 1 day, 17:46:35 batch_cost: 3.4591 data_cost: 0.0024 ips: 37.0039 images/s [10/16 01:03:15] ppdet.engine INFO: Epoch: [110] [100/229] learning_rate: 0.280511 loss_vfl: 0.893590 loss_bbox: 0.342935 loss_dfl: 0.205926 loss: 1.448663 eta: 1 day, 17:45:23 batch_cost: 3.3891 data_cost: 0.0024 ips: 37.7686 images/s [10/16 01:04:27] ppdet.engine INFO: Epoch: [110] [120/229] learning_rate: 0.280343 loss_vfl: 0.887303 loss_bbox: 0.343963 loss_dfl: 0.205929 loss: 1.452538 eta: 1 day, 17:44:14 batch_cost: 3.4794 data_cost: 0.0024 ips: 36.7883 images/s [10/16 01:05:40] ppdet.engine INFO: Epoch: [110] [140/229] learning_rate: 0.280176 loss_vfl: 0.876445 loss_bbox: 0.343688 loss_dfl: 0.203371 loss: 1.424867 eta: 1 day, 17:43:05 batch_cost: 3.4783 data_cost: 0.0025 ips: 36.8000 images/s [10/16 01:06:51] ppdet.engine INFO: Epoch: [110] [160/229] learning_rate: 0.280008 loss_vfl: 0.888524 loss_bbox: 0.339804 loss_dfl: 0.203859 loss: 1.441609 eta: 1 day, 17:41:55 batch_cost: 3.4197 data_cost: 0.0024 ips: 37.4306 images/s [10/16 01:08:03] ppdet.engine INFO: Epoch: [110] [180/229] learning_rate: 0.279841 loss_vfl: 0.893387 loss_bbox: 0.341183 loss_dfl: 0.202197 loss: 1.433714 eta: 1 day, 17:40:44 batch_cost: 3.4298 data_cost: 0.0025 ips: 37.3198 images/s [10/16 01:09:13] ppdet.engine INFO: Epoch: [110] [200/229] learning_rate: 0.279673 loss_vfl: 0.897276 loss_bbox: 0.349537 loss_dfl: 0.208045 loss: 1.451121 eta: 1 day, 17:39:32 batch_cost: 3.3753 data_cost: 0.0029 ips: 37.9221 images/s [10/16 01:10:21] ppdet.engine INFO: Epoch: [110] [220/229] learning_rate: 0.279505 loss_vfl: 0.889282 loss_bbox: 0.329265 loss_dfl: 0.205766 loss: 1.448316 eta: 1 day, 17:38:15 batch_cost: 3.2399 data_cost: 0.0023 ips: 39.5073 images/s [10/16 01:11:13] ppdet.engine INFO: Epoch: [111] [ 0/229] learning_rate: 0.279430 loss_vfl: 0.890661 loss_bbox: 0.329827 loss_dfl: 0.206990 loss: 1.451914 eta: 1 day, 17:38:12 batch_cost: 4.1146 data_cost: 0.5958 ips: 31.1084 images/s [10/16 01:12:25] ppdet.engine INFO: Epoch: [111] [ 20/229] learning_rate: 0.279262 loss_vfl: 0.883154 loss_bbox: 0.354399 loss_dfl: 0.206093 loss: 1.441043 eta: 1 day, 17:37:03 batch_cost: 3.4571 data_cost: 0.0032 ips: 37.0257 images/s [10/16 01:13:37] ppdet.engine INFO: Epoch: [111] [ 40/229] learning_rate: 0.279094 loss_vfl: 0.882046 loss_bbox: 0.338914 loss_dfl: 0.202529 loss: 1.441799 eta: 1 day, 17:35:52 batch_cost: 3.4240 data_cost: 0.0036 ips: 37.3830 images/s [10/16 01:14:49] ppdet.engine INFO: Epoch: [111] [ 60/229] learning_rate: 0.278926 loss_vfl: 0.892243 loss_bbox: 0.334842 loss_dfl: 0.207701 loss: 1.438951 eta: 1 day, 17:34:43 batch_cost: 3.4581 data_cost: 0.0028 ips: 37.0148 images/s [10/16 01:15:58] ppdet.engine INFO: Epoch: [111] [ 80/229] learning_rate: 0.278758 loss_vfl: 0.886999 loss_bbox: 0.334260 loss_dfl: 0.201563 loss: 1.416628 eta: 1 day, 17:33:29 batch_cost: 3.3303 data_cost: 0.0030 ips: 38.4348 images/s [10/16 01:17:08] ppdet.engine INFO: Epoch: [111] [100/229] learning_rate: 0.278589 loss_vfl: 0.885304 loss_bbox: 0.359891 loss_dfl: 0.213236 loss: 1.459468 eta: 1 day, 17:32:15 batch_cost: 3.3313 data_cost: 0.0026 ips: 38.4234 images/s [10/16 01:18:20] ppdet.engine INFO: Epoch: [111] [120/229] learning_rate: 0.278421 loss_vfl: 0.887720 loss_bbox: 0.339217 loss_dfl: 0.200379 loss: 1.425466 eta: 1 day, 17:31:06 batch_cost: 3.4534 data_cost: 0.0024 ips: 37.0647 images/s [10/16 01:19:31] ppdet.engine INFO: Epoch: [111] [140/229] learning_rate: 0.278253 loss_vfl: 0.907456 loss_bbox: 0.337316 loss_dfl: 0.207411 loss: 1.466018 eta: 1 day, 17:29:54 batch_cost: 3.3980 data_cost: 0.0026 ips: 37.6696 images/s [10/16 01:20:40] ppdet.engine INFO: Epoch: [111] [160/229] learning_rate: 0.278084 loss_vfl: 0.880979 loss_bbox: 0.348368 loss_dfl: 0.209933 loss: 1.446120 eta: 1 day, 17:28:40 batch_cost: 3.3229 data_cost: 0.0025 ips: 38.5204 images/s [10/16 01:21:50] ppdet.engine INFO: Epoch: [111] [180/229] learning_rate: 0.277916 loss_vfl: 0.894714 loss_bbox: 0.348514 loss_dfl: 0.201021 loss: 1.424836 eta: 1 day, 17:27:26 batch_cost: 3.3148 data_cost: 0.0025 ips: 38.6143 images/s [10/16 01:23:03] ppdet.engine INFO: Epoch: [111] [200/229] learning_rate: 0.277748 loss_vfl: 0.902666 loss_bbox: 0.342187 loss_dfl: 0.211469 loss: 1.459009 eta: 1 day, 17:26:18 batch_cost: 3.5097 data_cost: 0.0026 ips: 36.4701 images/s [10/16 01:24:13] ppdet.engine INFO: Epoch: [111] [220/229] learning_rate: 0.277579 loss_vfl: 0.886999 loss_bbox: 0.338079 loss_dfl: 0.201856 loss: 1.428883 eta: 1 day, 17:25:05 batch_cost: 3.3482 data_cost: 0.0025 ips: 38.2293 images/s [10/16 01:25:08] ppdet.engine INFO: Epoch: [112] [ 0/229] learning_rate: 0.277503 loss_vfl: 0.891479 loss_bbox: 0.326071 loss_dfl: 0.201308 loss: 1.422807 eta: 1 day, 17:25:05 batch_cost: 4.2866 data_cost: 0.3263 ips: 29.8602 images/s [10/16 01:26:22] ppdet.engine INFO: Epoch: [112] [ 20/229] learning_rate: 0.277334 loss_vfl: 0.878850 loss_bbox: 0.346751 loss_dfl: 0.201446 loss: 1.424729 eta: 1 day, 17:23:59 batch_cost: 3.5555 data_cost: 0.0029 ips: 36.0006 images/s [10/16 01:27:35] ppdet.engine INFO: Epoch: [112] [ 40/229] learning_rate: 0.277166 loss_vfl: 0.884647 loss_bbox: 0.338329 loss_dfl: 0.205202 loss: 1.429734 eta: 1 day, 17:22:50 batch_cost: 3.4911 data_cost: 0.0026 ips: 36.6642 images/s [10/16 01:28:46] ppdet.engine INFO: Epoch: [112] [ 60/229] learning_rate: 0.276997 loss_vfl: 0.883930 loss_bbox: 0.348056 loss_dfl: 0.209053 loss: 1.445295 eta: 1 day, 17:21:40 batch_cost: 3.4329 data_cost: 0.0024 ips: 37.2867 images/s [10/16 01:29:58] ppdet.engine INFO: Epoch: [112] [ 80/229] learning_rate: 0.276828 loss_vfl: 0.893572 loss_bbox: 0.341829 loss_dfl: 0.204308 loss: 1.444018 eta: 1 day, 17:20:30 batch_cost: 3.4279 data_cost: 0.0025 ips: 37.3409 images/s [10/16 01:31:09] ppdet.engine INFO: Epoch: [112] [100/229] learning_rate: 0.276659 loss_vfl: 0.892406 loss_bbox: 0.338382 loss_dfl: 0.202524 loss: 1.431183 eta: 1 day, 17:19:19 batch_cost: 3.4119 data_cost: 0.0024 ips: 37.5158 images/s [10/16 01:32:22] ppdet.engine INFO: Epoch: [112] [120/229] learning_rate: 0.276490 loss_vfl: 0.879120 loss_bbox: 0.337470 loss_dfl: 0.205190 loss: 1.428470 eta: 1 day, 17:18:10 batch_cost: 3.4927 data_cost: 0.0025 ips: 36.6483 images/s [10/16 01:33:35] ppdet.engine INFO: Epoch: [112] [140/229] learning_rate: 0.276321 loss_vfl: 0.881677 loss_bbox: 0.340051 loss_dfl: 0.204245 loss: 1.430830 eta: 1 day, 17:17:03 batch_cost: 3.5077 data_cost: 0.0026 ips: 36.4911 images/s [10/16 01:34:48] ppdet.engine INFO: Epoch: [112] [160/229] learning_rate: 0.276152 loss_vfl: 0.888471 loss_bbox: 0.335868 loss_dfl: 0.200582 loss: 1.420490 eta: 1 day, 17:15:54 batch_cost: 3.4857 data_cost: 0.0028 ips: 36.7220 images/s [10/16 01:36:00] ppdet.engine INFO: Epoch: [112] [180/229] learning_rate: 0.275983 loss_vfl: 0.889064 loss_bbox: 0.352904 loss_dfl: 0.210006 loss: 1.451163 eta: 1 day, 17:14:45 batch_cost: 3.4786 data_cost: 0.0024 ips: 36.7967 images/s [10/16 01:37:13] ppdet.engine INFO: Epoch: [112] [200/229] learning_rate: 0.275814 loss_vfl: 0.884642 loss_bbox: 0.342364 loss_dfl: 0.205432 loss: 1.447894 eta: 1 day, 17:13:36 batch_cost: 3.4765 data_cost: 0.0024 ips: 36.8190 images/s [10/16 01:38:20] ppdet.engine INFO: Epoch: [112] [220/229] learning_rate: 0.275644 loss_vfl: 0.885063 loss_bbox: 0.345187 loss_dfl: 0.204711 loss: 1.428133 eta: 1 day, 17:12:18 batch_cost: 3.1967 data_cost: 0.0029 ips: 40.0417 images/s [10/16 01:39:14] ppdet.engine INFO: Epoch: [113] [ 0/229] learning_rate: 0.275568 loss_vfl: 0.885895 loss_bbox: 0.345291 loss_dfl: 0.207159 loss: 1.435619 eta: 1 day, 17:12:17 batch_cost: 4.1273 data_cost: 0.7129 ips: 31.0130 images/s [10/16 01:40:27] ppdet.engine INFO: Epoch: [113] [ 20/229] learning_rate: 0.275399 loss_vfl: 0.888265 loss_bbox: 0.321362 loss_dfl: 0.196806 loss: 1.417298 eta: 1 day, 17:11:09 batch_cost: 3.5110 data_cost: 0.0024 ips: 36.4567 images/s [10/16 01:41:40] ppdet.engine INFO: Epoch: [113] [ 40/229] learning_rate: 0.275229 loss_vfl: 0.893532 loss_bbox: 0.343969 loss_dfl: 0.211477 loss: 1.449032 eta: 1 day, 17:10:01 batch_cost: 3.4890 data_cost: 0.0025 ips: 36.6864 images/s [10/16 01:42:53] ppdet.engine INFO: Epoch: [113] [ 60/229] learning_rate: 0.275060 loss_vfl: 0.872294 loss_bbox: 0.327301 loss_dfl: 0.201898 loss: 1.423171 eta: 1 day, 17:08:53 batch_cost: 3.5255 data_cost: 0.0024 ips: 36.3070 images/s [10/16 01:44:04] ppdet.engine INFO: Epoch: [113] [ 80/229] learning_rate: 0.274890 loss_vfl: 0.876964 loss_bbox: 0.347186 loss_dfl: 0.205835 loss: 1.434640 eta: 1 day, 17:07:43 batch_cost: 3.4212 data_cost: 0.0028 ips: 37.4135 images/s [10/16 01:45:18] ppdet.engine INFO: Epoch: [113] [100/229] learning_rate: 0.274721 loss_vfl: 0.885514 loss_bbox: 0.342950 loss_dfl: 0.205873 loss: 1.454059 eta: 1 day, 17:06:35 batch_cost: 3.5055 data_cost: 0.0025 ips: 36.5145 images/s [10/16 01:46:27] ppdet.engine INFO: Epoch: [113] [120/229] learning_rate: 0.274551 loss_vfl: 0.884752 loss_bbox: 0.329841 loss_dfl: 0.202514 loss: 1.430351 eta: 1 day, 17:05:21 batch_cost: 3.3215 data_cost: 0.0024 ips: 38.5366 images/s [10/16 01:47:39] ppdet.engine INFO: Epoch: [113] [140/229] learning_rate: 0.274381 loss_vfl: 0.888840 loss_bbox: 0.340157 loss_dfl: 0.206314 loss: 1.438764 eta: 1 day, 17:04:11 batch_cost: 3.4507 data_cost: 0.0025 ips: 37.0937 images/s [10/16 01:48:51] ppdet.engine INFO: Epoch: [113] [160/229] learning_rate: 0.274211 loss_vfl: 0.887698 loss_bbox: 0.342216 loss_dfl: 0.202695 loss: 1.439042 eta: 1 day, 17:03:01 batch_cost: 3.4390 data_cost: 0.0025 ips: 37.2199 images/s [10/16 01:50:00] ppdet.engine INFO: Epoch: [113] [180/229] learning_rate: 0.274041 loss_vfl: 0.906510 loss_bbox: 0.333018 loss_dfl: 0.198315 loss: 1.441270 eta: 1 day, 17:01:48 batch_cost: 3.3329 data_cost: 0.0031 ips: 38.4054 images/s [10/16 01:51:11] ppdet.engine INFO: Epoch: [113] [200/229] learning_rate: 0.273871 loss_vfl: 0.894019 loss_bbox: 0.345511 loss_dfl: 0.202681 loss: 1.427364 eta: 1 day, 17:00:36 batch_cost: 3.3840 data_cost: 0.0025 ips: 37.8247 images/s [10/16 01:52:18] ppdet.engine INFO: Epoch: [113] [220/229] learning_rate: 0.273701 loss_vfl: 0.884104 loss_bbox: 0.342079 loss_dfl: 0.206811 loss: 1.423010 eta: 1 day, 16:59:18 batch_cost: 3.1934 data_cost: 0.0023 ips: 40.0822 images/s [10/16 01:53:12] ppdet.engine INFO: Epoch: [114] [ 0/229] learning_rate: 0.273625 loss_vfl: 0.886775 loss_bbox: 0.331256 loss_dfl: 0.198103 loss: 1.423010 eta: 1 day, 16:59:16 batch_cost: 4.1461 data_cost: 0.7373 ips: 30.8725 images/s [10/16 01:54:21] ppdet.engine INFO: Epoch: [114] [ 20/229] learning_rate: 0.273455 loss_vfl: 0.870133 loss_bbox: 0.333420 loss_dfl: 0.199979 loss: 1.399293 eta: 1 day, 16:58:02 batch_cost: 3.3272 data_cost: 0.0025 ips: 38.4708 images/s [10/16 01:55:30] ppdet.engine INFO: Epoch: [114] [ 40/229] learning_rate: 0.273285 loss_vfl: 0.868715 loss_bbox: 0.340668 loss_dfl: 0.198760 loss: 1.409944 eta: 1 day, 16:56:47 batch_cost: 3.2878 data_cost: 0.0024 ips: 38.9315 images/s [10/16 01:56:41] ppdet.engine INFO: Epoch: [114] [ 60/229] learning_rate: 0.273114 loss_vfl: 0.877143 loss_bbox: 0.340123 loss_dfl: 0.206212 loss: 1.418378 eta: 1 day, 16:55:37 batch_cost: 3.4165 data_cost: 0.0025 ips: 37.4652 images/s [10/16 01:57:51] ppdet.engine INFO: Epoch: [114] [ 80/229] learning_rate: 0.272944 loss_vfl: 0.890649 loss_bbox: 0.332584 loss_dfl: 0.201460 loss: 1.422966 eta: 1 day, 16:54:24 batch_cost: 3.3611 data_cost: 0.0025 ips: 38.0831 images/s [10/16 01:59:02] ppdet.engine INFO: Epoch: [114] [100/229] learning_rate: 0.272774 loss_vfl: 0.891111 loss_bbox: 0.346959 loss_dfl: 0.204140 loss: 1.429098 eta: 1 day, 16:53:12 batch_cost: 3.3738 data_cost: 0.0024 ips: 37.9395 images/s [10/16 02:00:13] ppdet.engine INFO: Epoch: [114] [120/229] learning_rate: 0.272603 loss_vfl: 0.879486 loss_bbox: 0.334469 loss_dfl: 0.201867 loss: 1.406570 eta: 1 day, 16:52:01 batch_cost: 3.4086 data_cost: 0.0023 ips: 37.5520 images/s [10/16 02:01:23] ppdet.engine INFO: Epoch: [114] [140/229] learning_rate: 0.272433 loss_vfl: 0.880553 loss_bbox: 0.327874 loss_dfl: 0.197994 loss: 1.409253 eta: 1 day, 16:50:49 batch_cost: 3.3853 data_cost: 0.0024 ips: 37.8104 images/s [10/16 02:02:32] ppdet.engine INFO: Epoch: [114] [160/229] learning_rate: 0.272262 loss_vfl: 0.878941 loss_bbox: 0.353117 loss_dfl: 0.213985 loss: 1.449093 eta: 1 day, 16:49:34 batch_cost: 3.2883 data_cost: 0.0024 ips: 38.9263 images/s [10/16 02:03:43] ppdet.engine INFO: Epoch: [114] [180/229] learning_rate: 0.272092 loss_vfl: 0.887100 loss_bbox: 0.345099 loss_dfl: 0.208918 loss: 1.443394 eta: 1 day, 16:48:22 batch_cost: 3.3810 data_cost: 0.0025 ips: 37.8589 images/s [10/16 02:04:53] ppdet.engine INFO: Epoch: [114] [200/229] learning_rate: 0.271921 loss_vfl: 0.883464 loss_bbox: 0.348132 loss_dfl: 0.203453 loss: 1.438491 eta: 1 day, 16:47:10 batch_cost: 3.3813 data_cost: 0.0029 ips: 37.8558 images/s [10/16 02:06:01] ppdet.engine INFO: Epoch: [114] [220/229] learning_rate: 0.271750 loss_vfl: 0.896663 loss_bbox: 0.344602 loss_dfl: 0.202558 loss: 1.432199 eta: 1 day, 16:45:54 batch_cost: 3.2637 data_cost: 0.0023 ips: 39.2187 images/s [10/16 02:06:58] ppdet.engine INFO: Epoch: [115] [ 0/229] learning_rate: 0.271674 loss_vfl: 0.896663 loss_bbox: 0.347684 loss_dfl: 0.200997 loss: 1.423151 eta: 1 day, 16:45:56 batch_cost: 4.3329 data_cost: 0.6263 ips: 29.5412 images/s [10/16 02:08:12] ppdet.engine INFO: Epoch: [115] [ 20/229] learning_rate: 0.271503 loss_vfl: 0.878010 loss_bbox: 0.343715 loss_dfl: 0.206229 loss: 1.422502 eta: 1 day, 16:44:50 batch_cost: 3.5679 data_cost: 0.0033 ips: 35.8750 images/s [10/16 02:09:23] ppdet.engine INFO: Epoch: [115] [ 40/229] learning_rate: 0.271332 loss_vfl: 0.890346 loss_bbox: 0.335301 loss_dfl: 0.199113 loss: 1.419519 eta: 1 day, 16:43:38 batch_cost: 3.3892 data_cost: 0.0025 ips: 37.7670 images/s [10/16 02:10:34] ppdet.engine INFO: Epoch: [115] [ 60/229] learning_rate: 0.271161 loss_vfl: 0.881887 loss_bbox: 0.335935 loss_dfl: 0.204699 loss: 1.402882 eta: 1 day, 16:42:28 batch_cost: 3.4161 data_cost: 0.0032 ips: 37.4694 images/s [10/16 02:11:46] ppdet.engine INFO: Epoch: [115] [ 80/229] learning_rate: 0.270990 loss_vfl: 0.901564 loss_bbox: 0.334276 loss_dfl: 0.207376 loss: 1.434645 eta: 1 day, 16:41:18 batch_cost: 3.4426 data_cost: 0.0030 ips: 37.1807 images/s [10/16 02:12:58] ppdet.engine INFO: Epoch: [115] [100/229] learning_rate: 0.270819 loss_vfl: 0.875011 loss_bbox: 0.332518 loss_dfl: 0.202498 loss: 1.413980 eta: 1 day, 16:40:08 batch_cost: 3.4429 data_cost: 0.0025 ips: 37.1777 images/s [10/16 02:14:08] ppdet.engine INFO: Epoch: [115] [120/229] learning_rate: 0.270648 loss_vfl: 0.874653 loss_bbox: 0.337060 loss_dfl: 0.203083 loss: 1.411872 eta: 1 day, 16:38:55 batch_cost: 3.3633 data_cost: 0.0024 ips: 38.0584 images/s [10/16 02:15:22] ppdet.engine INFO: Epoch: [115] [140/229] learning_rate: 0.270477 loss_vfl: 0.883923 loss_bbox: 0.333790 loss_dfl: 0.202688 loss: 1.416248 eta: 1 day, 16:37:49 batch_cost: 3.5512 data_cost: 0.0025 ips: 36.0439 images/s [10/16 02:16:33] ppdet.engine INFO: Epoch: [115] [160/229] learning_rate: 0.270306 loss_vfl: 0.881657 loss_bbox: 0.331571 loss_dfl: 0.202434 loss: 1.407288 eta: 1 day, 16:36:38 batch_cost: 3.4101 data_cost: 0.0024 ips: 37.5355 images/s [10/16 02:17:44] ppdet.engine INFO: Epoch: [115] [180/229] learning_rate: 0.270134 loss_vfl: 0.884443 loss_bbox: 0.352603 loss_dfl: 0.205959 loss: 1.448091 eta: 1 day, 16:35:26 batch_cost: 3.3993 data_cost: 0.0025 ips: 37.6553 images/s [10/16 02:18:55] ppdet.engine INFO: Epoch: [115] [200/229] learning_rate: 0.269963 loss_vfl: 0.886796 loss_bbox: 0.326763 loss_dfl: 0.201475 loss: 1.399377 eta: 1 day, 16:34:15 batch_cost: 3.3856 data_cost: 0.0025 ips: 37.8075 images/s [10/16 02:20:00] ppdet.engine INFO: Epoch: [115] [220/229] learning_rate: 0.269792 loss_vfl: 0.891375 loss_bbox: 0.336646 loss_dfl: 0.203535 loss: 1.430662 eta: 1 day, 16:32:54 batch_cost: 3.1180 data_cost: 0.0024 ips: 41.0517 images/s [10/16 02:20:54] ppdet.engine INFO: Epoch: [116] [ 0/229] learning_rate: 0.269714 loss_vfl: 0.878017 loss_bbox: 0.336619 loss_dfl: 0.202809 loss: 1.426552 eta: 1 day, 16:32:52 batch_cost: 4.1275 data_cost: 0.5077 ips: 31.0118 images/s [10/16 02:22:06] ppdet.engine INFO: Epoch: [116] [ 20/229] learning_rate: 0.269543 loss_vfl: 0.879759 loss_bbox: 0.338851 loss_dfl: 0.198918 loss: 1.416127 eta: 1 day, 16:31:42 batch_cost: 3.4605 data_cost: 0.0028 ips: 36.9885 images/s [10/16 02:23:19] ppdet.engine INFO: Epoch: [116] [ 40/229] learning_rate: 0.269371 loss_vfl: 0.888947 loss_bbox: 0.355059 loss_dfl: 0.211453 loss: 1.438955 eta: 1 day, 16:30:34 batch_cost: 3.5084 data_cost: 0.0025 ips: 36.4837 images/s [10/16 02:24:33] ppdet.engine INFO: Epoch: [116] [ 60/229] learning_rate: 0.269200 loss_vfl: 0.880669 loss_bbox: 0.342546 loss_dfl: 0.203187 loss: 1.425302 eta: 1 day, 16:29:27 batch_cost: 3.5343 data_cost: 0.0025 ips: 36.2166 images/s [10/16 02:25:44] ppdet.engine INFO: Epoch: [116] [ 80/229] learning_rate: 0.269028 loss_vfl: 0.879373 loss_bbox: 0.344352 loss_dfl: 0.205442 loss: 1.433547 eta: 1 day, 16:28:16 batch_cost: 3.3876 data_cost: 0.0026 ips: 37.7846 images/s [10/16 02:26:56] ppdet.engine INFO: Epoch: [116] [100/229] learning_rate: 0.268856 loss_vfl: 0.876611 loss_bbox: 0.329328 loss_dfl: 0.198039 loss: 1.398339 eta: 1 day, 16:27:06 batch_cost: 3.4678 data_cost: 0.0025 ips: 36.9106 images/s [10/16 02:28:06] ppdet.engine INFO: Epoch: [116] [120/229] learning_rate: 0.268685 loss_vfl: 0.894895 loss_bbox: 0.325957 loss_dfl: 0.197775 loss: 1.437342 eta: 1 day, 16:25:53 batch_cost: 3.3406 data_cost: 0.0026 ips: 38.3160 images/s [10/16 02:29:15] ppdet.engine INFO: Epoch: [116] [140/229] learning_rate: 0.268513 loss_vfl: 0.879086 loss_bbox: 0.344604 loss_dfl: 0.202150 loss: 1.426498 eta: 1 day, 16:24:39 batch_cost: 3.3130 data_cost: 0.0025 ips: 38.6358 images/s [10/16 02:30:26] ppdet.engine INFO: Epoch: [116] [160/229] learning_rate: 0.268341 loss_vfl: 0.896316 loss_bbox: 0.343571 loss_dfl: 0.204292 loss: 1.439408 eta: 1 day, 16:23:28 batch_cost: 3.4016 data_cost: 0.0024 ips: 37.6292 images/s [10/16 02:31:37] ppdet.engine INFO: Epoch: [116] [180/229] learning_rate: 0.268169 loss_vfl: 0.872850 loss_bbox: 0.342202 loss_dfl: 0.200279 loss: 1.416991 eta: 1 day, 16:22:16 batch_cost: 3.3664 data_cost: 0.0024 ips: 38.0226 images/s [10/16 02:32:47] ppdet.engine INFO: Epoch: [116] [200/229] learning_rate: 0.267997 loss_vfl: 0.880470 loss_bbox: 0.335485 loss_dfl: 0.195814 loss: 1.403090 eta: 1 day, 16:21:03 batch_cost: 3.3614 data_cost: 0.0025 ips: 38.0799 images/s [10/16 02:33:58] ppdet.engine INFO: Epoch: [116] [220/229] learning_rate: 0.267825 loss_vfl: 0.881384 loss_bbox: 0.349203 loss_dfl: 0.208008 loss: 1.436578 eta: 1 day, 16:19:51 batch_cost: 3.3793 data_cost: 0.0025 ips: 37.8780 images/s [10/16 02:34:56] ppdet.engine INFO: Epoch: [117] [ 0/229] learning_rate: 0.267748 loss_vfl: 0.882702 loss_bbox: 0.347781 loss_dfl: 0.201549 loss: 1.431054 eta: 1 day, 16:19:56 batch_cost: 4.5447 data_cost: 0.8519 ips: 28.1646 images/s [10/16 02:36:09] ppdet.engine INFO: Epoch: [117] [ 20/229] learning_rate: 0.267575 loss_vfl: 0.878269 loss_bbox: 0.322924 loss_dfl: 0.197545 loss: 1.396474 eta: 1 day, 16:18:47 batch_cost: 3.4772 data_cost: 0.0028 ips: 36.8113 images/s [10/16 02:37:18] ppdet.engine INFO: Epoch: [117] [ 40/229] learning_rate: 0.267403 loss_vfl: 0.873465 loss_bbox: 0.347293 loss_dfl: 0.208205 loss: 1.430015 eta: 1 day, 16:17:33 batch_cost: 3.3200 data_cost: 0.0024 ips: 38.5543 images/s [10/16 02:38:28] ppdet.engine INFO: Epoch: [117] [ 60/229] learning_rate: 0.267231 loss_vfl: 0.869006 loss_bbox: 0.338706 loss_dfl: 0.195228 loss: 1.399245 eta: 1 day, 16:16:19 batch_cost: 3.3307 data_cost: 0.0024 ips: 38.4300 images/s [10/16 02:39:38] ppdet.engine INFO: Epoch: [117] [ 80/229] learning_rate: 0.267059 loss_vfl: 0.888566 loss_bbox: 0.333874 loss_dfl: 0.206267 loss: 1.435317 eta: 1 day, 16:15:06 batch_cost: 3.3491 data_cost: 0.0024 ips: 38.2194 images/s [10/16 02:40:49] ppdet.engine INFO: Epoch: [117] [100/229] learning_rate: 0.266886 loss_vfl: 0.881426 loss_bbox: 0.336733 loss_dfl: 0.205301 loss: 1.428495 eta: 1 day, 16:13:56 batch_cost: 3.4393 data_cost: 0.0025 ips: 37.2169 images/s [10/16 02:42:00] ppdet.engine INFO: Epoch: [117] [120/229] learning_rate: 0.266714 loss_vfl: 0.870677 loss_bbox: 0.340475 loss_dfl: 0.206025 loss: 1.415247 eta: 1 day, 16:12:44 batch_cost: 3.3766 data_cost: 0.0024 ips: 37.9076 images/s [10/16 02:43:12] ppdet.engine INFO: Epoch: [117] [140/229] learning_rate: 0.266541 loss_vfl: 0.880718 loss_bbox: 0.336075 loss_dfl: 0.203533 loss: 1.415525 eta: 1 day, 16:11:35 batch_cost: 3.4573 data_cost: 0.0033 ips: 37.0236 images/s [10/16 02:44:24] ppdet.engine INFO: Epoch: [117] [160/229] learning_rate: 0.266369 loss_vfl: 0.883835 loss_bbox: 0.334245 loss_dfl: 0.206777 loss: 1.427146 eta: 1 day, 16:10:25 batch_cost: 3.4558 data_cost: 0.0024 ips: 37.0392 images/s [10/16 02:45:37] ppdet.engine INFO: Epoch: [117] [180/229] learning_rate: 0.266196 loss_vfl: 0.894018 loss_bbox: 0.347547 loss_dfl: 0.210997 loss: 1.449068 eta: 1 day, 16:09:17 batch_cost: 3.4873 data_cost: 0.0024 ips: 36.7044 images/s [10/16 02:46:47] ppdet.engine INFO: Epoch: [117] [200/229] learning_rate: 0.266024 loss_vfl: 0.887106 loss_bbox: 0.327327 loss_dfl: 0.199473 loss: 1.426446 eta: 1 day, 16:08:05 batch_cost: 3.3794 data_cost: 0.0024 ips: 37.8760 images/s [10/16 02:47:54] ppdet.engine INFO: Epoch: [117] [220/229] learning_rate: 0.265851 loss_vfl: 0.883239 loss_bbox: 0.343084 loss_dfl: 0.198271 loss: 1.425363 eta: 1 day, 16:06:47 batch_cost: 3.1898 data_cost: 0.0025 ips: 40.1282 images/s [10/16 02:48:47] ppdet.engine INFO: Epoch: [118] [ 0/229] learning_rate: 0.265773 loss_vfl: 0.884206 loss_bbox: 0.346788 loss_dfl: 0.211327 loss: 1.453896 eta: 1 day, 16:06:43 batch_cost: 4.1015 data_cost: 0.6585 ips: 31.2078 images/s [10/16 02:49:58] ppdet.engine INFO: Epoch: [118] [ 20/229] learning_rate: 0.265601 loss_vfl: 0.874721 loss_bbox: 0.327706 loss_dfl: 0.193019 loss: 1.396780 eta: 1 day, 16:05:32 batch_cost: 3.4000 data_cost: 0.0026 ips: 37.6467 images/s [10/16 02:51:09] ppdet.engine INFO: Epoch: [118] [ 40/229] learning_rate: 0.265428 loss_vfl: 0.880344 loss_bbox: 0.337212 loss_dfl: 0.207245 loss: 1.423681 eta: 1 day, 16:04:20 batch_cost: 3.3964 data_cost: 0.0024 ips: 37.6868 images/s [10/16 02:52:21] ppdet.engine INFO: Epoch: [118] [ 60/229] learning_rate: 0.265255 loss_vfl: 0.886883 loss_bbox: 0.325515 loss_dfl: 0.197377 loss: 1.414700 eta: 1 day, 16:03:10 batch_cost: 3.4314 data_cost: 0.0025 ips: 37.3026 images/s [10/16 02:53:32] ppdet.engine INFO: Epoch: [118] [ 80/229] learning_rate: 0.265082 loss_vfl: 0.886564 loss_bbox: 0.338469 loss_dfl: 0.208062 loss: 1.438232 eta: 1 day, 16:01:59 batch_cost: 3.4093 data_cost: 0.0025 ips: 37.5442 images/s [10/16 02:54:44] ppdet.engine INFO: Epoch: [118] [100/229] learning_rate: 0.264909 loss_vfl: 0.878653 loss_bbox: 0.344539 loss_dfl: 0.202464 loss: 1.431220 eta: 1 day, 16:00:48 batch_cost: 3.4244 data_cost: 0.0025 ips: 37.3792 images/s [10/16 02:55:53] ppdet.engine INFO: Epoch: [118] [120/229] learning_rate: 0.264736 loss_vfl: 0.877683 loss_bbox: 0.344647 loss_dfl: 0.207074 loss: 1.428546 eta: 1 day, 15:59:35 batch_cost: 3.3298 data_cost: 0.0025 ips: 38.4402 images/s [10/16 02:57:04] ppdet.engine INFO: Epoch: [118] [140/229] learning_rate: 0.264563 loss_vfl: 0.882409 loss_bbox: 0.332984 loss_dfl: 0.199144 loss: 1.408322 eta: 1 day, 15:58:23 batch_cost: 3.3834 data_cost: 0.0024 ips: 37.8314 images/s [10/16 02:58:13] ppdet.engine INFO: Epoch: [118] [160/229] learning_rate: 0.264390 loss_vfl: 0.877835 loss_bbox: 0.339732 loss_dfl: 0.207237 loss: 1.415938 eta: 1 day, 15:57:10 batch_cost: 3.3286 data_cost: 0.0023 ips: 38.4552 images/s [10/16 02:59:25] ppdet.engine INFO: Epoch: [118] [180/229] learning_rate: 0.264216 loss_vfl: 0.884136 loss_bbox: 0.330501 loss_dfl: 0.196777 loss: 1.405092 eta: 1 day, 15:56:00 batch_cost: 3.4422 data_cost: 0.0024 ips: 37.1856 images/s [10/16 03:00:36] ppdet.engine INFO: Epoch: [118] [200/229] learning_rate: 0.264043 loss_vfl: 0.883367 loss_bbox: 0.339489 loss_dfl: 0.203407 loss: 1.423419 eta: 1 day, 15:54:48 batch_cost: 3.3928 data_cost: 0.0024 ips: 37.7269 images/s [10/16 03:01:44] ppdet.engine INFO: Epoch: [118] [220/229] learning_rate: 0.263870 loss_vfl: 0.878681 loss_bbox: 0.340577 loss_dfl: 0.202144 loss: 1.414050 eta: 1 day, 15:53:32 batch_cost: 3.2411 data_cost: 0.0024 ips: 39.4923 images/s [10/16 03:02:37] ppdet.engine INFO: Epoch: [119] [ 0/229] learning_rate: 0.263792 loss_vfl: 0.892386 loss_bbox: 0.339983 loss_dfl: 0.205315 loss: 1.427011 eta: 1 day, 15:53:28 batch_cost: 4.1697 data_cost: 0.8292 ips: 30.6975 images/s [10/16 03:03:48] ppdet.engine INFO: Epoch: [119] [ 20/229] learning_rate: 0.263618 loss_vfl: 0.869413 loss_bbox: 0.335652 loss_dfl: 0.200511 loss: 1.412514 eta: 1 day, 15:52:16 batch_cost: 3.3799 data_cost: 0.0025 ips: 37.8705 images/s [10/16 03:04:59] ppdet.engine INFO: Epoch: [119] [ 40/229] learning_rate: 0.263445 loss_vfl: 0.885257 loss_bbox: 0.314592 loss_dfl: 0.191081 loss: 1.396569 eta: 1 day, 15:51:05 batch_cost: 3.3968 data_cost: 0.0026 ips: 37.6827 images/s [10/16 03:06:10] ppdet.engine INFO: Epoch: [119] [ 60/229] learning_rate: 0.263272 loss_vfl: 0.887731 loss_bbox: 0.327742 loss_dfl: 0.200339 loss: 1.412699 eta: 1 day, 15:49:53 batch_cost: 3.3952 data_cost: 0.0025 ips: 37.7007 images/s [10/16 03:07:20] ppdet.engine INFO: Epoch: [119] [ 80/229] learning_rate: 0.263098 loss_vfl: 0.872159 loss_bbox: 0.359561 loss_dfl: 0.210891 loss: 1.441497 eta: 1 day, 15:48:41 batch_cost: 3.3497 data_cost: 0.0024 ips: 38.2122 images/s [10/16 03:08:30] ppdet.engine INFO: Epoch: [119] [100/229] learning_rate: 0.262924 loss_vfl: 0.892566 loss_bbox: 0.350604 loss_dfl: 0.205007 loss: 1.447236 eta: 1 day, 15:47:29 batch_cost: 3.3865 data_cost: 0.0023 ips: 37.7972 images/s [10/16 03:09:41] ppdet.engine INFO: Epoch: [119] [120/229] learning_rate: 0.262751 loss_vfl: 0.885666 loss_bbox: 0.343749 loss_dfl: 0.205993 loss: 1.439513 eta: 1 day, 15:46:18 batch_cost: 3.4134 data_cost: 0.0024 ips: 37.4989 images/s [10/16 03:10:53] ppdet.engine INFO: Epoch: [119] [140/229] learning_rate: 0.262577 loss_vfl: 0.890367 loss_bbox: 0.333884 loss_dfl: 0.204905 loss: 1.431895 eta: 1 day, 15:45:07 batch_cost: 3.4089 data_cost: 0.0024 ips: 37.5487 images/s [10/16 03:12:02] ppdet.engine INFO: Epoch: [119] [160/229] learning_rate: 0.262403 loss_vfl: 0.878891 loss_bbox: 0.329931 loss_dfl: 0.206878 loss: 1.425719 eta: 1 day, 15:43:53 batch_cost: 3.3032 data_cost: 0.0028 ips: 38.7505 images/s [10/16 03:13:12] ppdet.engine INFO: Epoch: [119] [180/229] learning_rate: 0.262229 loss_vfl: 0.884897 loss_bbox: 0.355263 loss_dfl: 0.214008 loss: 1.449424 eta: 1 day, 15:42:41 batch_cost: 3.3693 data_cost: 0.0025 ips: 37.9897 images/s [10/16 03:14:23] ppdet.engine INFO: Epoch: [119] [200/229] learning_rate: 0.262056 loss_vfl: 0.896012 loss_bbox: 0.327722 loss_dfl: 0.198006 loss: 1.430672 eta: 1 day, 15:41:29 batch_cost: 3.3839 data_cost: 0.0025 ips: 37.8260 images/s [10/16 03:15:33] ppdet.engine INFO: Epoch: [119] [220/229] learning_rate: 0.261882 loss_vfl: 0.881198 loss_bbox: 0.344518 loss_dfl: 0.207447 loss: 1.445345 eta: 1 day, 15:40:17 batch_cost: 3.3659 data_cost: 0.0024 ips: 38.0280 images/s [10/16 03:16:04] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 03:16:04] ppdet.engine INFO: Eval iter: 0 [10/16 03:16:42] ppdet.engine INFO: Eval iter: 100 [10/16 03:17:05] ppdet.engine INFO: Eval iter: 200 [10/16 03:17:28] ppdet.engine INFO: Eval iter: 300 [10/16 03:17:52] ppdet.engine INFO: Eval iter: 400 [10/16 03:18:15] ppdet.engine INFO: Eval iter: 500 [10/16 03:18:39] ppdet.engine INFO: Eval iter: 600 [10/16 03:18:59] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/16 03:19:00] 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=95.67s). Accumulating evaluation results... DONE (t=16.97s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.257 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.394 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.267 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 ] = 0.256 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.443 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 ] = 0.384 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.410 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.132 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.451 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.673 [10/16 03:21:00] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.826332951950892 [10/16 03:21:00] ppdet.engine INFO: Best test bbox ap is 0.257. [10/16 03:21:00] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 03:21:03] ppdet.engine INFO: Epoch: [120] [ 0/229] learning_rate: 0.261803 loss_vfl: 0.877309 loss_bbox: 0.342594 loss_dfl: 0.200129 loss: 1.436795 eta: 1 day, 15:39:42 batch_cost: 3.2385 data_cost: 0.0023 ips: 39.5250 images/s [10/16 03:22:17] ppdet.engine INFO: Epoch: [120] [ 20/229] learning_rate: 0.261629 loss_vfl: 0.878418 loss_bbox: 0.325185 loss_dfl: 0.194643 loss: 1.398220 eta: 1 day, 15:38:35 batch_cost: 3.5471 data_cost: 0.0025 ips: 36.0859 images/s [10/16 03:23:27] ppdet.engine INFO: Epoch: [120] [ 40/229] learning_rate: 0.261455 loss_vfl: 0.873706 loss_bbox: 0.339683 loss_dfl: 0.207066 loss: 1.429582 eta: 1 day, 15:37:22 batch_cost: 3.3465 data_cost: 0.0024 ips: 38.2484 images/s [10/16 03:24:38] ppdet.engine INFO: Epoch: [120] [ 60/229] learning_rate: 0.261281 loss_vfl: 0.869891 loss_bbox: 0.334194 loss_dfl: 0.203576 loss: 1.420472 eta: 1 day, 15:36:11 batch_cost: 3.3894 data_cost: 0.0025 ips: 37.7650 images/s [10/16 03:25:49] ppdet.engine INFO: Epoch: [120] [ 80/229] learning_rate: 0.261107 loss_vfl: 0.893068 loss_bbox: 0.328774 loss_dfl: 0.203259 loss: 1.441687 eta: 1 day, 15:35:01 batch_cost: 3.4284 data_cost: 0.0025 ips: 37.3350 images/s [10/16 03:27:00] ppdet.engine INFO: Epoch: [120] [100/229] learning_rate: 0.260933 loss_vfl: 0.880027 loss_bbox: 0.338311 loss_dfl: 0.199500 loss: 1.415324 eta: 1 day, 15:33:49 batch_cost: 3.3967 data_cost: 0.0030 ips: 37.6833 images/s [10/16 03:28:12] ppdet.engine INFO: Epoch: [120] [120/229] learning_rate: 0.260759 loss_vfl: 0.898911 loss_bbox: 0.334601 loss_dfl: 0.206219 loss: 1.433098 eta: 1 day, 15:32:40 batch_cost: 3.4559 data_cost: 0.0025 ips: 37.0376 images/s [10/16 03:29:23] ppdet.engine INFO: Epoch: [120] [140/229] learning_rate: 0.260584 loss_vfl: 0.880488 loss_bbox: 0.350486 loss_dfl: 0.211760 loss: 1.450959 eta: 1 day, 15:31:29 batch_cost: 3.4116 data_cost: 0.0024 ips: 37.5187 images/s [10/16 03:30:35] ppdet.engine INFO: Epoch: [120] [160/229] learning_rate: 0.260410 loss_vfl: 0.869486 loss_bbox: 0.339675 loss_dfl: 0.204774 loss: 1.406648 eta: 1 day, 15:30:19 batch_cost: 3.4489 data_cost: 0.0025 ips: 37.1132 images/s [10/16 03:31:46] ppdet.engine INFO: Epoch: [120] [180/229] learning_rate: 0.260236 loss_vfl: 0.877907 loss_bbox: 0.342699 loss_dfl: 0.203871 loss: 1.432395 eta: 1 day, 15:29:07 batch_cost: 3.3773 data_cost: 0.0036 ips: 37.9004 images/s [10/16 03:32:55] ppdet.engine INFO: Epoch: [120] [200/229] learning_rate: 0.260061 loss_vfl: 0.877827 loss_bbox: 0.338760 loss_dfl: 0.205492 loss: 1.439990 eta: 1 day, 15:27:55 batch_cost: 3.3404 data_cost: 0.0030 ips: 38.3182 images/s [10/16 03:34:03] ppdet.engine INFO: Epoch: [120] [220/229] learning_rate: 0.259887 loss_vfl: 0.879869 loss_bbox: 0.348129 loss_dfl: 0.203643 loss: 1.423255 eta: 1 day, 15:26:39 batch_cost: 3.2392 data_cost: 0.0024 ips: 39.5161 images/s [10/16 03:35:00] ppdet.engine INFO: Epoch: [121] [ 0/229] learning_rate: 0.259808 loss_vfl: 0.896363 loss_bbox: 0.340215 loss_dfl: 0.205123 loss: 1.441315 eta: 1 day, 15:26:40 batch_cost: 4.3524 data_cost: 0.6067 ips: 29.4089 images/s [10/16 03:36:13] ppdet.engine INFO: Epoch: [121] [ 20/229] learning_rate: 0.259634 loss_vfl: 0.881886 loss_bbox: 0.339708 loss_dfl: 0.200193 loss: 1.421598 eta: 1 day, 15:25:31 batch_cost: 3.4855 data_cost: 0.0026 ips: 36.7237 images/s [10/16 03:37:25] ppdet.engine INFO: Epoch: [121] [ 40/229] learning_rate: 0.259459 loss_vfl: 0.879243 loss_bbox: 0.322885 loss_dfl: 0.199234 loss: 1.403555 eta: 1 day, 15:24:21 batch_cost: 3.4194 data_cost: 0.0024 ips: 37.4334 images/s [10/16 03:38:35] ppdet.engine INFO: Epoch: [121] [ 60/229] learning_rate: 0.259284 loss_vfl: 0.893517 loss_bbox: 0.319660 loss_dfl: 0.199023 loss: 1.411648 eta: 1 day, 15:23:09 batch_cost: 3.3956 data_cost: 0.0024 ips: 37.6963 images/s [10/16 03:39:47] ppdet.engine INFO: Epoch: [121] [ 80/229] learning_rate: 0.259110 loss_vfl: 0.868869 loss_bbox: 0.329682 loss_dfl: 0.199584 loss: 1.397391 eta: 1 day, 15:21:58 batch_cost: 3.4118 data_cost: 0.0026 ips: 37.5173 images/s [10/16 03:40:58] ppdet.engine INFO: Epoch: [121] [100/229] learning_rate: 0.258935 loss_vfl: 0.887415 loss_bbox: 0.346328 loss_dfl: 0.209731 loss: 1.447925 eta: 1 day, 15:20:48 batch_cost: 3.4306 data_cost: 0.0024 ips: 37.3115 images/s [10/16 03:42:07] ppdet.engine INFO: Epoch: [121] [120/229] learning_rate: 0.258760 loss_vfl: 0.878488 loss_bbox: 0.338718 loss_dfl: 0.205342 loss: 1.416348 eta: 1 day, 15:19:34 batch_cost: 3.2788 data_cost: 0.0024 ips: 39.0389 images/s [10/16 03:43:17] ppdet.engine INFO: Epoch: [121] [140/229] learning_rate: 0.258585 loss_vfl: 0.877620 loss_bbox: 0.341429 loss_dfl: 0.197062 loss: 1.406308 eta: 1 day, 15:18:21 batch_cost: 3.3655 data_cost: 0.0025 ips: 38.0329 images/s [10/16 03:44:29] ppdet.engine INFO: Epoch: [121] [160/229] learning_rate: 0.258410 loss_vfl: 0.897488 loss_bbox: 0.343193 loss_dfl: 0.202064 loss: 1.436826 eta: 1 day, 15:17:11 batch_cost: 3.4307 data_cost: 0.0025 ips: 37.3101 images/s [10/16 03:45:38] ppdet.engine INFO: Epoch: [121] [180/229] learning_rate: 0.258235 loss_vfl: 0.893316 loss_bbox: 0.347986 loss_dfl: 0.203672 loss: 1.436318 eta: 1 day, 15:15:58 batch_cost: 3.3375 data_cost: 0.0026 ips: 38.3522 images/s [10/16 03:46:50] ppdet.engine INFO: Epoch: [121] [200/229] learning_rate: 0.258060 loss_vfl: 0.885495 loss_bbox: 0.335418 loss_dfl: 0.201224 loss: 1.419610 eta: 1 day, 15:14:48 batch_cost: 3.4443 data_cost: 0.0024 ips: 37.1629 images/s [10/16 03:47:56] ppdet.engine INFO: Epoch: [121] [220/229] learning_rate: 0.257885 loss_vfl: 0.879667 loss_bbox: 0.344647 loss_dfl: 0.202668 loss: 1.426275 eta: 1 day, 15:13:30 batch_cost: 3.1514 data_cost: 0.0024 ips: 40.6171 images/s [10/16 03:48:48] ppdet.engine INFO: Epoch: [122] [ 0/229] learning_rate: 0.257806 loss_vfl: 0.873544 loss_bbox: 0.341253 loss_dfl: 0.203560 loss: 1.424332 eta: 1 day, 15:13:23 batch_cost: 4.0092 data_cost: 0.4494 ips: 31.9266 images/s [10/16 03:50:00] ppdet.engine INFO: Epoch: [122] [ 20/229] learning_rate: 0.257631 loss_vfl: 0.881340 loss_bbox: 0.341921 loss_dfl: 0.205624 loss: 1.436571 eta: 1 day, 15:12:12 batch_cost: 3.4226 data_cost: 0.0027 ips: 37.3984 images/s [10/16 03:51:12] ppdet.engine INFO: Epoch: [122] [ 40/229] learning_rate: 0.257456 loss_vfl: 0.886476 loss_bbox: 0.347496 loss_dfl: 0.206084 loss: 1.437893 eta: 1 day, 15:11:02 batch_cost: 3.4438 data_cost: 0.0026 ips: 37.1687 images/s [10/16 03:52:24] ppdet.engine INFO: Epoch: [122] [ 60/229] learning_rate: 0.257281 loss_vfl: 0.892237 loss_bbox: 0.347071 loss_dfl: 0.214302 loss: 1.452421 eta: 1 day, 15:09:53 batch_cost: 3.4500 data_cost: 0.0026 ips: 37.1017 images/s [10/16 03:53:34] ppdet.engine INFO: Epoch: [122] [ 80/229] learning_rate: 0.257106 loss_vfl: 0.867156 loss_bbox: 0.346591 loss_dfl: 0.202853 loss: 1.420678 eta: 1 day, 15:08:41 batch_cost: 3.3827 data_cost: 0.0024 ips: 37.8397 images/s [10/16 03:54:42] ppdet.engine INFO: Epoch: [122] [100/229] learning_rate: 0.256930 loss_vfl: 0.879961 loss_bbox: 0.336852 loss_dfl: 0.201341 loss: 1.421643 eta: 1 day, 15:07:26 batch_cost: 3.2632 data_cost: 0.0025 ips: 39.2259 images/s [10/16 03:55:53] ppdet.engine INFO: Epoch: [122] [120/229] learning_rate: 0.256755 loss_vfl: 0.866700 loss_bbox: 0.338217 loss_dfl: 0.197161 loss: 1.404899 eta: 1 day, 15:06:14 batch_cost: 3.3767 data_cost: 0.0027 ips: 37.9069 images/s [10/16 03:57:03] ppdet.engine INFO: Epoch: [122] [140/229] learning_rate: 0.256579 loss_vfl: 0.877260 loss_bbox: 0.344568 loss_dfl: 0.209100 loss: 1.427016 eta: 1 day, 15:05:01 batch_cost: 3.3452 data_cost: 0.0025 ips: 38.2634 images/s [10/16 03:58:15] ppdet.engine INFO: Epoch: [122] [160/229] learning_rate: 0.256404 loss_vfl: 0.889230 loss_bbox: 0.324525 loss_dfl: 0.195425 loss: 1.407876 eta: 1 day, 15:03:51 batch_cost: 3.4454 data_cost: 0.0025 ips: 37.1514 images/s [10/16 03:59:25] ppdet.engine INFO: Epoch: [122] [180/229] learning_rate: 0.256228 loss_vfl: 0.880369 loss_bbox: 0.338062 loss_dfl: 0.200506 loss: 1.407155 eta: 1 day, 15:02:40 batch_cost: 3.3771 data_cost: 0.0026 ips: 37.9028 images/s [10/16 04:00:35] ppdet.engine INFO: Epoch: [122] [200/229] learning_rate: 0.256053 loss_vfl: 0.892755 loss_bbox: 0.331737 loss_dfl: 0.197766 loss: 1.424204 eta: 1 day, 15:01:27 batch_cost: 3.3349 data_cost: 0.0024 ips: 38.3820 images/s [10/16 04:01:42] ppdet.engine INFO: Epoch: [122] [220/229] learning_rate: 0.255877 loss_vfl: 0.883212 loss_bbox: 0.326476 loss_dfl: 0.196731 loss: 1.402497 eta: 1 day, 15:00:11 batch_cost: 3.2269 data_cost: 0.0024 ips: 39.6669 images/s [10/16 04:02:38] ppdet.engine INFO: Epoch: [123] [ 0/229] learning_rate: 0.255798 loss_vfl: 0.892168 loss_bbox: 0.316814 loss_dfl: 0.198664 loss: 1.409976 eta: 1 day, 15:00:08 batch_cost: 4.2845 data_cost: 0.4539 ips: 29.8748 images/s [10/16 04:03:50] ppdet.engine INFO: Epoch: [123] [ 20/229] learning_rate: 0.255623 loss_vfl: 0.873214 loss_bbox: 0.331605 loss_dfl: 0.206237 loss: 1.427505 eta: 1 day, 14:58:58 batch_cost: 3.4382 data_cost: 0.0027 ips: 37.2287 images/s [10/16 04:05:02] ppdet.engine INFO: Epoch: [123] [ 40/229] learning_rate: 0.255447 loss_vfl: 0.883258 loss_bbox: 0.338558 loss_dfl: 0.203485 loss: 1.429710 eta: 1 day, 14:57:49 batch_cost: 3.4734 data_cost: 0.0026 ips: 36.8513 images/s [10/16 04:06:13] ppdet.engine INFO: Epoch: [123] [ 60/229] learning_rate: 0.255271 loss_vfl: 0.866989 loss_bbox: 0.330549 loss_dfl: 0.202373 loss: 1.414511 eta: 1 day, 14:56:38 batch_cost: 3.3980 data_cost: 0.0032 ips: 37.6694 images/s [10/16 04:07:24] ppdet.engine INFO: Epoch: [123] [ 80/229] learning_rate: 0.255095 loss_vfl: 0.869811 loss_bbox: 0.348778 loss_dfl: 0.206007 loss: 1.420727 eta: 1 day, 14:55:27 batch_cost: 3.4043 data_cost: 0.0025 ips: 37.5997 images/s [10/16 04:08:35] ppdet.engine INFO: Epoch: [123] [100/229] learning_rate: 0.254919 loss_vfl: 0.878549 loss_bbox: 0.337874 loss_dfl: 0.201541 loss: 1.413716 eta: 1 day, 14:54:15 batch_cost: 3.3556 data_cost: 0.0026 ips: 38.1452 images/s [10/16 04:09:46] ppdet.engine INFO: Epoch: [123] [120/229] learning_rate: 0.254743 loss_vfl: 0.877636 loss_bbox: 0.337176 loss_dfl: 0.203690 loss: 1.434487 eta: 1 day, 14:53:05 batch_cost: 3.4409 data_cost: 0.0031 ips: 37.2001 images/s [10/16 04:10:57] ppdet.engine INFO: Epoch: [123] [140/229] learning_rate: 0.254568 loss_vfl: 0.879643 loss_bbox: 0.343358 loss_dfl: 0.204077 loss: 1.421467 eta: 1 day, 14:51:54 batch_cost: 3.3930 data_cost: 0.0027 ips: 37.7243 images/s [10/16 04:12:09] ppdet.engine INFO: Epoch: [123] [160/229] learning_rate: 0.254392 loss_vfl: 0.887536 loss_bbox: 0.347297 loss_dfl: 0.212770 loss: 1.455859 eta: 1 day, 14:50:44 batch_cost: 3.4352 data_cost: 0.0025 ips: 37.2611 images/s [10/16 04:13:18] ppdet.engine INFO: Epoch: [123] [180/229] learning_rate: 0.254215 loss_vfl: 0.878174 loss_bbox: 0.328618 loss_dfl: 0.200586 loss: 1.408389 eta: 1 day, 14:49:29 batch_cost: 3.2865 data_cost: 0.0030 ips: 38.9472 images/s [10/16 04:14:29] ppdet.engine INFO: Epoch: [123] [200/229] learning_rate: 0.254039 loss_vfl: 0.887399 loss_bbox: 0.337891 loss_dfl: 0.205755 loss: 1.420350 eta: 1 day, 14:48:18 batch_cost: 3.3861 data_cost: 0.0024 ips: 37.8021 images/s [10/16 04:15:38] ppdet.engine INFO: Epoch: [123] [220/229] learning_rate: 0.253863 loss_vfl: 0.901829 loss_bbox: 0.326259 loss_dfl: 0.197958 loss: 1.433486 eta: 1 day, 14:47:04 batch_cost: 3.3196 data_cost: 0.0031 ips: 38.5590 images/s [10/16 04:16:34] ppdet.engine INFO: Epoch: [124] [ 0/229] learning_rate: 0.253784 loss_vfl: 0.901521 loss_bbox: 0.326921 loss_dfl: 0.200361 loss: 1.431619 eta: 1 day, 14:47:00 batch_cost: 4.2931 data_cost: 0.5911 ips: 29.8149 images/s [10/16 04:17:45] ppdet.engine INFO: Epoch: [124] [ 20/229] learning_rate: 0.253608 loss_vfl: 0.880495 loss_bbox: 0.337389 loss_dfl: 0.200381 loss: 1.410047 eta: 1 day, 14:45:50 batch_cost: 3.4365 data_cost: 0.0028 ips: 37.2474 images/s [10/16 04:18:56] ppdet.engine INFO: Epoch: [124] [ 40/229] learning_rate: 0.253432 loss_vfl: 0.872996 loss_bbox: 0.330029 loss_dfl: 0.202093 loss: 1.421681 eta: 1 day, 14:44:39 batch_cost: 3.3810 data_cost: 0.0027 ips: 37.8581 images/s [10/16 04:20:08] ppdet.engine INFO: Epoch: [124] [ 60/229] learning_rate: 0.253255 loss_vfl: 0.869654 loss_bbox: 0.327489 loss_dfl: 0.200512 loss: 1.411240 eta: 1 day, 14:43:29 batch_cost: 3.4643 data_cost: 0.0026 ips: 36.9485 images/s [10/16 04:21:20] ppdet.engine INFO: Epoch: [124] [ 80/229] learning_rate: 0.253079 loss_vfl: 0.883673 loss_bbox: 0.328304 loss_dfl: 0.197670 loss: 1.410933 eta: 1 day, 14:42:19 batch_cost: 3.4209 data_cost: 0.0026 ips: 37.4167 images/s [10/16 04:22:29] ppdet.engine INFO: Epoch: [124] [100/229] learning_rate: 0.252903 loss_vfl: 0.879970 loss_bbox: 0.338496 loss_dfl: 0.206331 loss: 1.415584 eta: 1 day, 14:41:05 batch_cost: 3.3219 data_cost: 0.0026 ips: 38.5318 images/s [10/16 04:23:39] ppdet.engine INFO: Epoch: [124] [120/229] learning_rate: 0.252726 loss_vfl: 0.873816 loss_bbox: 0.328368 loss_dfl: 0.200512 loss: 1.405231 eta: 1 day, 14:39:54 batch_cost: 3.3718 data_cost: 0.0032 ips: 37.9623 images/s [10/16 04:24:52] ppdet.engine INFO: Epoch: [124] [140/229] learning_rate: 0.252550 loss_vfl: 0.889464 loss_bbox: 0.323294 loss_dfl: 0.197342 loss: 1.409915 eta: 1 day, 14:38:44 batch_cost: 3.4673 data_cost: 0.0036 ips: 36.9161 images/s [10/16 04:26:05] ppdet.engine INFO: Epoch: [124] [160/229] learning_rate: 0.252373 loss_vfl: 0.892354 loss_bbox: 0.338264 loss_dfl: 0.199933 loss: 1.435124 eta: 1 day, 14:37:37 batch_cost: 3.5222 data_cost: 0.0026 ips: 36.3409 images/s [10/16 04:27:15] ppdet.engine INFO: Epoch: [124] [180/229] learning_rate: 0.252197 loss_vfl: 0.882190 loss_bbox: 0.322913 loss_dfl: 0.197607 loss: 1.414148 eta: 1 day, 14:36:24 batch_cost: 3.3551 data_cost: 0.0025 ips: 38.1509 images/s [10/16 04:28:25] ppdet.engine INFO: Epoch: [124] [200/229] learning_rate: 0.252020 loss_vfl: 0.874082 loss_bbox: 0.323757 loss_dfl: 0.197119 loss: 1.396609 eta: 1 day, 14:35:12 batch_cost: 3.3376 data_cost: 0.0025 ips: 38.3510 images/s [10/16 04:29:32] ppdet.engine INFO: Epoch: [124] [220/229] learning_rate: 0.251843 loss_vfl: 0.885431 loss_bbox: 0.344754 loss_dfl: 0.205090 loss: 1.424198 eta: 1 day, 14:33:55 batch_cost: 3.1934 data_cost: 0.0024 ips: 40.0822 images/s [10/16 04:30:25] ppdet.engine INFO: Epoch: [125] [ 0/229] learning_rate: 0.251764 loss_vfl: 0.892537 loss_bbox: 0.332735 loss_dfl: 0.204173 loss: 1.423477 eta: 1 day, 14:33:48 batch_cost: 4.1047 data_cost: 0.6610 ips: 31.1841 images/s [10/16 04:31:37] ppdet.engine INFO: Epoch: [125] [ 20/229] learning_rate: 0.251587 loss_vfl: 0.881124 loss_bbox: 0.325930 loss_dfl: 0.199562 loss: 1.414670 eta: 1 day, 14:32:38 batch_cost: 3.4389 data_cost: 0.0025 ips: 37.2207 images/s [10/16 04:32:47] ppdet.engine INFO: Epoch: [125] [ 40/229] learning_rate: 0.251410 loss_vfl: 0.864984 loss_bbox: 0.335874 loss_dfl: 0.204936 loss: 1.423069 eta: 1 day, 14:31:26 batch_cost: 3.3606 data_cost: 0.0024 ips: 38.0884 images/s [10/16 04:33:57] ppdet.engine INFO: Epoch: [125] [ 60/229] learning_rate: 0.251234 loss_vfl: 0.868144 loss_bbox: 0.342849 loss_dfl: 0.201353 loss: 1.412461 eta: 1 day, 14:30:13 batch_cost: 3.3350 data_cost: 0.0031 ips: 38.3802 images/s [10/16 04:35:08] ppdet.engine INFO: Epoch: [125] [ 80/229] learning_rate: 0.251057 loss_vfl: 0.881222 loss_bbox: 0.324253 loss_dfl: 0.196751 loss: 1.398786 eta: 1 day, 14:29:02 batch_cost: 3.3865 data_cost: 0.0025 ips: 37.7974 images/s [10/16 04:36:18] ppdet.engine INFO: Epoch: [125] [100/229] learning_rate: 0.250880 loss_vfl: 0.872797 loss_bbox: 0.337057 loss_dfl: 0.202631 loss: 1.422456 eta: 1 day, 14:27:50 batch_cost: 3.3879 data_cost: 0.0027 ips: 37.7812 images/s [10/16 04:37:29] ppdet.engine INFO: Epoch: [125] [120/229] learning_rate: 0.250703 loss_vfl: 0.876680 loss_bbox: 0.340696 loss_dfl: 0.205005 loss: 1.422319 eta: 1 day, 14:26:40 batch_cost: 3.4060 data_cost: 0.0025 ips: 37.5810 images/s [10/16 04:38:42] ppdet.engine INFO: Epoch: [125] [140/229] learning_rate: 0.250526 loss_vfl: 0.893173 loss_bbox: 0.334202 loss_dfl: 0.202231 loss: 1.425154 eta: 1 day, 14:25:30 batch_cost: 3.4481 data_cost: 0.0028 ips: 37.1216 images/s [10/16 04:39:53] ppdet.engine INFO: Epoch: [125] [160/229] learning_rate: 0.250349 loss_vfl: 0.870764 loss_bbox: 0.334153 loss_dfl: 0.205078 loss: 1.431392 eta: 1 day, 14:24:19 batch_cost: 3.4225 data_cost: 0.0025 ips: 37.4001 images/s [10/16 04:41:03] ppdet.engine INFO: Epoch: [125] [180/229] learning_rate: 0.250172 loss_vfl: 0.884734 loss_bbox: 0.341153 loss_dfl: 0.209220 loss: 1.419913 eta: 1 day, 14:23:07 batch_cost: 3.3338 data_cost: 0.0024 ips: 38.3942 images/s [10/16 04:42:15] ppdet.engine INFO: Epoch: [125] [200/229] learning_rate: 0.249995 loss_vfl: 0.875843 loss_bbox: 0.324371 loss_dfl: 0.202782 loss: 1.405221 eta: 1 day, 14:21:56 batch_cost: 3.4303 data_cost: 0.0025 ips: 37.3143 images/s [10/16 04:43:22] ppdet.engine INFO: Epoch: [125] [220/229] learning_rate: 0.249818 loss_vfl: 0.876452 loss_bbox: 0.332486 loss_dfl: 0.209692 loss: 1.430257 eta: 1 day, 14:20:41 batch_cost: 3.2420 data_cost: 0.0036 ips: 39.4815 images/s [10/16 04:44:16] ppdet.engine INFO: Epoch: [126] [ 0/229] learning_rate: 0.249738 loss_vfl: 0.881315 loss_bbox: 0.353805 loss_dfl: 0.206802 loss: 1.437750 eta: 1 day, 14:20:34 batch_cost: 4.1416 data_cost: 0.6833 ips: 30.9062 images/s [10/16 04:45:28] ppdet.engine INFO: Epoch: [126] [ 20/229] learning_rate: 0.249561 loss_vfl: 0.862906 loss_bbox: 0.329545 loss_dfl: 0.197356 loss: 1.384632 eta: 1 day, 14:19:25 batch_cost: 3.4860 data_cost: 0.0038 ips: 36.7180 images/s [10/16 04:46:41] ppdet.engine INFO: Epoch: [126] [ 40/229] learning_rate: 0.249384 loss_vfl: 0.884257 loss_bbox: 0.332843 loss_dfl: 0.200970 loss: 1.426697 eta: 1 day, 14:18:16 batch_cost: 3.4563 data_cost: 0.0024 ips: 37.0333 images/s [10/16 04:47:52] ppdet.engine INFO: Epoch: [126] [ 60/229] learning_rate: 0.249206 loss_vfl: 0.881927 loss_bbox: 0.334702 loss_dfl: 0.203074 loss: 1.439288 eta: 1 day, 14:17:05 batch_cost: 3.4156 data_cost: 0.0026 ips: 37.4749 images/s [10/16 04:49:03] ppdet.engine INFO: Epoch: [126] [ 80/229] learning_rate: 0.249029 loss_vfl: 0.877123 loss_bbox: 0.336856 loss_dfl: 0.202571 loss: 1.422320 eta: 1 day, 14:15:54 batch_cost: 3.3989 data_cost: 0.0026 ips: 37.6590 images/s [10/16 04:50:15] ppdet.engine INFO: Epoch: [126] [100/229] learning_rate: 0.248852 loss_vfl: 0.905311 loss_bbox: 0.326885 loss_dfl: 0.205342 loss: 1.418339 eta: 1 day, 14:14:45 batch_cost: 3.4585 data_cost: 0.0025 ips: 37.0097 images/s [10/16 04:51:26] ppdet.engine INFO: Epoch: [126] [120/229] learning_rate: 0.248674 loss_vfl: 0.889312 loss_bbox: 0.340722 loss_dfl: 0.197766 loss: 1.416342 eta: 1 day, 14:13:34 batch_cost: 3.3899 data_cost: 0.0024 ips: 37.7588 images/s [10/16 04:52:37] ppdet.engine INFO: Epoch: [126] [140/229] learning_rate: 0.248497 loss_vfl: 0.880908 loss_bbox: 0.337732 loss_dfl: 0.207395 loss: 1.419040 eta: 1 day, 14:12:22 batch_cost: 3.3921 data_cost: 0.0025 ips: 37.7351 images/s [10/16 04:53:47] ppdet.engine INFO: Epoch: [126] [160/229] learning_rate: 0.248319 loss_vfl: 0.877905 loss_bbox: 0.341797 loss_dfl: 0.205019 loss: 1.413889 eta: 1 day, 14:11:10 batch_cost: 3.3656 data_cost: 0.0026 ips: 38.0317 images/s [10/16 04:54:57] ppdet.engine INFO: Epoch: [126] [180/229] learning_rate: 0.248142 loss_vfl: 0.875570 loss_bbox: 0.328298 loss_dfl: 0.193891 loss: 1.390459 eta: 1 day, 14:09:57 batch_cost: 3.3223 data_cost: 0.0037 ips: 38.5272 images/s [10/16 04:56:09] ppdet.engine INFO: Epoch: [126] [200/229] learning_rate: 0.247964 loss_vfl: 0.875950 loss_bbox: 0.337533 loss_dfl: 0.202710 loss: 1.416494 eta: 1 day, 14:08:48 batch_cost: 3.4718 data_cost: 0.0026 ips: 36.8685 images/s [10/16 04:57:19] ppdet.engine INFO: Epoch: [126] [220/229] learning_rate: 0.247787 loss_vfl: 0.879468 loss_bbox: 0.350145 loss_dfl: 0.209326 loss: 1.433106 eta: 1 day, 14:07:35 batch_cost: 3.3306 data_cost: 0.0025 ips: 38.4312 images/s [10/16 04:58:11] ppdet.engine INFO: Epoch: [127] [ 0/229] learning_rate: 0.247707 loss_vfl: 0.865310 loss_bbox: 0.345716 loss_dfl: 0.207408 loss: 1.425025 eta: 1 day, 14:07:26 batch_cost: 4.1491 data_cost: 0.4066 ips: 30.8499 images/s [10/16 04:59:23] ppdet.engine INFO: Epoch: [127] [ 20/229] learning_rate: 0.247529 loss_vfl: 0.873109 loss_bbox: 0.332474 loss_dfl: 0.202921 loss: 1.398665 eta: 1 day, 14:06:16 batch_cost: 3.4201 data_cost: 0.0027 ips: 37.4262 images/s [10/16 05:00:34] ppdet.engine INFO: Epoch: [127] [ 40/229] learning_rate: 0.247351 loss_vfl: 0.879732 loss_bbox: 0.326364 loss_dfl: 0.195321 loss: 1.407443 eta: 1 day, 14:05:06 batch_cost: 3.4378 data_cost: 0.0026 ips: 37.2328 images/s [10/16 05:01:46] ppdet.engine INFO: Epoch: [127] [ 60/229] learning_rate: 0.247174 loss_vfl: 0.873495 loss_bbox: 0.328924 loss_dfl: 0.199884 loss: 1.410465 eta: 1 day, 14:03:56 batch_cost: 3.4403 data_cost: 0.0026 ips: 37.2056 images/s [10/16 05:02:57] ppdet.engine INFO: Epoch: [127] [ 80/229] learning_rate: 0.246996 loss_vfl: 0.882483 loss_bbox: 0.326817 loss_dfl: 0.201905 loss: 1.409808 eta: 1 day, 14:02:45 batch_cost: 3.3932 data_cost: 0.0026 ips: 37.7221 images/s [10/16 05:04:08] ppdet.engine INFO: Epoch: [127] [100/229] learning_rate: 0.246818 loss_vfl: 0.881413 loss_bbox: 0.336221 loss_dfl: 0.198948 loss: 1.425025 eta: 1 day, 14:01:34 batch_cost: 3.3973 data_cost: 0.0032 ips: 37.6775 images/s [10/16 05:05:18] ppdet.engine INFO: Epoch: [127] [120/229] learning_rate: 0.246640 loss_vfl: 0.875541 loss_bbox: 0.342877 loss_dfl: 0.206978 loss: 1.417251 eta: 1 day, 14:00:21 batch_cost: 3.3549 data_cost: 0.0032 ips: 38.1526 images/s [10/16 05:06:29] ppdet.engine INFO: Epoch: [127] [140/229] learning_rate: 0.246462 loss_vfl: 0.873071 loss_bbox: 0.327060 loss_dfl: 0.195223 loss: 1.398012 eta: 1 day, 13:59:10 batch_cost: 3.3927 data_cost: 0.0028 ips: 37.7280 images/s [10/16 05:07:40] ppdet.engine INFO: Epoch: [127] [160/229] learning_rate: 0.246284 loss_vfl: 0.888720 loss_bbox: 0.327266 loss_dfl: 0.196002 loss: 1.411477 eta: 1 day, 13:57:58 batch_cost: 3.3756 data_cost: 0.0024 ips: 37.9192 images/s [10/16 05:08:50] ppdet.engine INFO: Epoch: [127] [180/229] learning_rate: 0.246106 loss_vfl: 0.885061 loss_bbox: 0.330111 loss_dfl: 0.199006 loss: 1.420497 eta: 1 day, 13:56:46 batch_cost: 3.3539 data_cost: 0.0025 ips: 38.1642 images/s [10/16 05:09:59] ppdet.engine INFO: Epoch: [127] [200/229] learning_rate: 0.245928 loss_vfl: 0.880063 loss_bbox: 0.339156 loss_dfl: 0.201951 loss: 1.415537 eta: 1 day, 13:55:34 batch_cost: 3.3439 data_cost: 0.0025 ips: 38.2786 images/s [10/16 05:11:08] ppdet.engine INFO: Epoch: [127] [220/229] learning_rate: 0.245750 loss_vfl: 0.880979 loss_bbox: 0.339069 loss_dfl: 0.201682 loss: 1.423377 eta: 1 day, 13:54:19 batch_cost: 3.2599 data_cost: 0.0027 ips: 39.2655 images/s [10/16 05:12:01] ppdet.engine INFO: Epoch: [128] [ 0/229] learning_rate: 0.245670 loss_vfl: 0.882114 loss_bbox: 0.339053 loss_dfl: 0.208638 loss: 1.431093 eta: 1 day, 13:54:11 batch_cost: 4.1746 data_cost: 0.5569 ips: 30.6614 images/s [10/16 05:13:13] ppdet.engine INFO: Epoch: [128] [ 20/229] learning_rate: 0.245492 loss_vfl: 0.881825 loss_bbox: 0.333559 loss_dfl: 0.202055 loss: 1.417249 eta: 1 day, 13:53:02 batch_cost: 3.4685 data_cost: 0.0026 ips: 36.9031 images/s [10/16 05:14:24] ppdet.engine INFO: Epoch: [128] [ 40/229] learning_rate: 0.245314 loss_vfl: 0.879105 loss_bbox: 0.328923 loss_dfl: 0.200709 loss: 1.412825 eta: 1 day, 13:51:51 batch_cost: 3.4080 data_cost: 0.0025 ips: 37.5585 images/s [10/16 05:15:38] ppdet.engine INFO: Epoch: [128] [ 60/229] learning_rate: 0.245136 loss_vfl: 0.877386 loss_bbox: 0.342582 loss_dfl: 0.204643 loss: 1.424950 eta: 1 day, 13:50:44 batch_cost: 3.5402 data_cost: 0.0026 ips: 36.1562 images/s [10/16 05:16:50] ppdet.engine INFO: Epoch: [128] [ 80/229] learning_rate: 0.244958 loss_vfl: 0.886611 loss_bbox: 0.327815 loss_dfl: 0.201781 loss: 1.419014 eta: 1 day, 13:49:34 batch_cost: 3.4663 data_cost: 0.0024 ips: 36.9274 images/s [10/16 05:18:02] ppdet.engine INFO: Epoch: [128] [100/229] learning_rate: 0.244779 loss_vfl: 0.864210 loss_bbox: 0.358663 loss_dfl: 0.207267 loss: 1.427409 eta: 1 day, 13:48:24 batch_cost: 3.4280 data_cost: 0.0026 ips: 37.3392 images/s [10/16 05:19:14] ppdet.engine INFO: Epoch: [128] [120/229] learning_rate: 0.244601 loss_vfl: 0.882412 loss_bbox: 0.330085 loss_dfl: 0.197942 loss: 1.412730 eta: 1 day, 13:47:14 batch_cost: 3.4404 data_cost: 0.0024 ips: 37.2048 images/s [10/16 05:20:27] ppdet.engine INFO: Epoch: [128] [140/229] learning_rate: 0.244423 loss_vfl: 0.890770 loss_bbox: 0.331264 loss_dfl: 0.205885 loss: 1.423594 eta: 1 day, 13:46:06 batch_cost: 3.5078 data_cost: 0.0031 ips: 36.4899 images/s [10/16 05:21:38] ppdet.engine INFO: Epoch: [128] [160/229] learning_rate: 0.244244 loss_vfl: 0.880034 loss_bbox: 0.340840 loss_dfl: 0.202675 loss: 1.429034 eta: 1 day, 13:44:55 batch_cost: 3.4056 data_cost: 0.0033 ips: 37.5846 images/s [10/16 05:22:49] ppdet.engine INFO: Epoch: [128] [180/229] learning_rate: 0.244066 loss_vfl: 0.887723 loss_bbox: 0.326338 loss_dfl: 0.206880 loss: 1.410760 eta: 1 day, 13:43:45 batch_cost: 3.4305 data_cost: 0.0026 ips: 37.3126 images/s [10/16 05:24:01] ppdet.engine INFO: Epoch: [128] [200/229] learning_rate: 0.243887 loss_vfl: 0.865502 loss_bbox: 0.337651 loss_dfl: 0.207124 loss: 1.422385 eta: 1 day, 13:42:35 batch_cost: 3.4419 data_cost: 0.0031 ips: 37.1889 images/s [10/16 05:25:11] ppdet.engine INFO: Epoch: [128] [220/229] learning_rate: 0.243709 loss_vfl: 0.900805 loss_bbox: 0.328965 loss_dfl: 0.195693 loss: 1.419495 eta: 1 day, 13:41:22 batch_cost: 3.3329 data_cost: 0.0024 ips: 38.4055 images/s [10/16 05:26:02] ppdet.engine INFO: Epoch: [129] [ 0/229] learning_rate: 0.243629 loss_vfl: 0.900136 loss_bbox: 0.321329 loss_dfl: 0.193415 loss: 1.408904 eta: 1 day, 13:41:11 batch_cost: 4.1073 data_cost: 0.4901 ips: 31.1639 images/s [10/16 05:27:16] ppdet.engine INFO: Epoch: [129] [ 20/229] learning_rate: 0.243450 loss_vfl: 0.892326 loss_bbox: 0.348742 loss_dfl: 0.209332 loss: 1.443636 eta: 1 day, 13:40:04 batch_cost: 3.5485 data_cost: 0.0025 ips: 36.0711 images/s [10/16 05:28:27] ppdet.engine INFO: Epoch: [129] [ 40/229] learning_rate: 0.243272 loss_vfl: 0.870333 loss_bbox: 0.326832 loss_dfl: 0.195789 loss: 1.403260 eta: 1 day, 13:38:53 batch_cost: 3.4058 data_cost: 0.0025 ips: 37.5831 images/s [10/16 05:29:38] ppdet.engine INFO: Epoch: [129] [ 60/229] learning_rate: 0.243093 loss_vfl: 0.878881 loss_bbox: 0.331735 loss_dfl: 0.205917 loss: 1.423704 eta: 1 day, 13:37:42 batch_cost: 3.3912 data_cost: 0.0025 ips: 37.7450 images/s [10/16 05:30:49] ppdet.engine INFO: Epoch: [129] [ 80/229] learning_rate: 0.242914 loss_vfl: 0.860856 loss_bbox: 0.348716 loss_dfl: 0.200935 loss: 1.410502 eta: 1 day, 13:36:31 batch_cost: 3.3855 data_cost: 0.0025 ips: 37.8082 images/s [10/16 05:31:59] ppdet.engine INFO: Epoch: [129] [100/229] learning_rate: 0.242736 loss_vfl: 0.882141 loss_bbox: 0.336883 loss_dfl: 0.204021 loss: 1.436554 eta: 1 day, 13:35:19 batch_cost: 3.3863 data_cost: 0.0026 ips: 37.7992 images/s [10/16 05:33:11] ppdet.engine INFO: Epoch: [129] [120/229] learning_rate: 0.242557 loss_vfl: 0.871612 loss_bbox: 0.350204 loss_dfl: 0.204299 loss: 1.426841 eta: 1 day, 13:34:08 batch_cost: 3.4017 data_cost: 0.0025 ips: 37.6279 images/s [10/16 05:34:23] ppdet.engine INFO: Epoch: [129] [140/229] learning_rate: 0.242378 loss_vfl: 0.878848 loss_bbox: 0.342119 loss_dfl: 0.214208 loss: 1.435744 eta: 1 day, 13:32:59 batch_cost: 3.4437 data_cost: 0.0024 ips: 37.1688 images/s [10/16 05:35:34] ppdet.engine INFO: Epoch: [129] [160/229] learning_rate: 0.242199 loss_vfl: 0.877791 loss_bbox: 0.339097 loss_dfl: 0.196764 loss: 1.402751 eta: 1 day, 13:31:48 batch_cost: 3.4071 data_cost: 0.0026 ips: 37.5688 images/s [10/16 05:36:44] ppdet.engine INFO: Epoch: [129] [180/229] learning_rate: 0.242021 loss_vfl: 0.872303 loss_bbox: 0.340742 loss_dfl: 0.198647 loss: 1.413144 eta: 1 day, 13:30:35 batch_cost: 3.3483 data_cost: 0.0025 ips: 38.2283 images/s [10/16 05:37:57] ppdet.engine INFO: Epoch: [129] [200/229] learning_rate: 0.241842 loss_vfl: 0.878299 loss_bbox: 0.340245 loss_dfl: 0.204061 loss: 1.416714 eta: 1 day, 13:29:27 batch_cost: 3.4837 data_cost: 0.0024 ips: 36.7421 images/s [10/16 05:39:07] ppdet.engine INFO: Epoch: [129] [220/229] learning_rate: 0.241663 loss_vfl: 0.885974 loss_bbox: 0.335967 loss_dfl: 0.205628 loss: 1.419172 eta: 1 day, 13:28:14 batch_cost: 3.3434 data_cost: 0.0024 ips: 38.2845 images/s [10/16 05:39:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 05:39:35] ppdet.engine INFO: Eval iter: 0 [10/16 05:40:15] ppdet.engine INFO: Eval iter: 100 [10/16 05:40:38] ppdet.engine INFO: Eval iter: 200 [10/16 05:41:00] ppdet.engine INFO: Eval iter: 300 [10/16 05:41:24] ppdet.engine INFO: Eval iter: 400 [10/16 05:41:46] ppdet.engine INFO: Eval iter: 500 [10/16 05:42:10] ppdet.engine INFO: Eval iter: 600 [10/16 05:42:30] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/16 05:42:31] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.31s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=96.57s). Accumulating evaluation results... DONE (t=17.04s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.255 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.393 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.263 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 ] = 0.253 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.445 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 ] = 0.383 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 ] = 0.133 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.446 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.670 [10/16 05:44:32] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.883426573340174 [10/16 05:44:32] ppdet.engine INFO: Best test bbox ap is 0.257. [10/16 05:44:35] ppdet.engine INFO: Epoch: [130] [ 0/229] learning_rate: 0.241582 loss_vfl: 0.889650 loss_bbox: 0.342986 loss_dfl: 0.205057 loss: 1.438993 eta: 1 day, 13:27:37 batch_cost: 3.1280 data_cost: 0.0025 ips: 40.9202 images/s [10/16 05:45:49] ppdet.engine INFO: Epoch: [130] [ 20/229] learning_rate: 0.241403 loss_vfl: 0.873316 loss_bbox: 0.334000 loss_dfl: 0.207589 loss: 1.415983 eta: 1 day, 13:26:30 batch_cost: 3.5603 data_cost: 0.0028 ips: 35.9518 images/s [10/16 05:46:59] ppdet.engine INFO: Epoch: [130] [ 40/229] learning_rate: 0.241224 loss_vfl: 0.872311 loss_bbox: 0.336755 loss_dfl: 0.202083 loss: 1.411707 eta: 1 day, 13:25:17 batch_cost: 3.3459 data_cost: 0.0025 ips: 38.2558 images/s [10/16 05:48:12] ppdet.engine INFO: Epoch: [130] [ 60/229] learning_rate: 0.241045 loss_vfl: 0.871923 loss_bbox: 0.334014 loss_dfl: 0.202190 loss: 1.421339 eta: 1 day, 13:24:09 batch_cost: 3.4875 data_cost: 0.0038 ips: 36.7028 images/s [10/16 05:49:23] ppdet.engine INFO: Epoch: [130] [ 80/229] learning_rate: 0.240866 loss_vfl: 0.882823 loss_bbox: 0.332770 loss_dfl: 0.198013 loss: 1.410899 eta: 1 day, 13:22:58 batch_cost: 3.4207 data_cost: 0.0031 ips: 37.4188 images/s [10/16 05:50:35] ppdet.engine INFO: Epoch: [130] [100/229] learning_rate: 0.240687 loss_vfl: 0.879723 loss_bbox: 0.317203 loss_dfl: 0.196868 loss: 1.400617 eta: 1 day, 13:21:49 batch_cost: 3.4550 data_cost: 0.0025 ips: 37.0479 images/s [10/16 05:51:47] ppdet.engine INFO: Epoch: [130] [120/229] learning_rate: 0.240508 loss_vfl: 0.866886 loss_bbox: 0.315572 loss_dfl: 0.195122 loss: 1.394655 eta: 1 day, 13:20:39 batch_cost: 3.4507 data_cost: 0.0025 ips: 37.0938 images/s [10/16 05:52:59] ppdet.engine INFO: Epoch: [130] [140/229] learning_rate: 0.240329 loss_vfl: 0.890627 loss_bbox: 0.334154 loss_dfl: 0.200405 loss: 1.422993 eta: 1 day, 13:19:29 batch_cost: 3.4410 data_cost: 0.0032 ips: 37.1988 images/s [10/16 05:54:11] ppdet.engine INFO: Epoch: [130] [160/229] learning_rate: 0.240150 loss_vfl: 0.888857 loss_bbox: 0.330000 loss_dfl: 0.199678 loss: 1.412048 eta: 1 day, 13:18:19 batch_cost: 3.4442 data_cost: 0.0025 ips: 37.1637 images/s [10/16 05:55:24] ppdet.engine INFO: Epoch: [130] [180/229] learning_rate: 0.239971 loss_vfl: 0.884995 loss_bbox: 0.327896 loss_dfl: 0.199550 loss: 1.418792 eta: 1 day, 13:17:11 batch_cost: 3.5047 data_cost: 0.0026 ips: 36.5227 images/s [10/16 05:56:36] ppdet.engine INFO: Epoch: [130] [200/229] learning_rate: 0.239791 loss_vfl: 0.890444 loss_bbox: 0.344142 loss_dfl: 0.205448 loss: 1.445107 eta: 1 day, 13:16:02 batch_cost: 3.4479 data_cost: 0.0026 ips: 37.1242 images/s [10/16 05:57:42] ppdet.engine INFO: Epoch: [130] [220/229] learning_rate: 0.239612 loss_vfl: 0.868237 loss_bbox: 0.338853 loss_dfl: 0.201639 loss: 1.417111 eta: 1 day, 13:14:44 batch_cost: 3.1399 data_cost: 0.0025 ips: 40.7658 images/s [10/16 05:58:34] ppdet.engine INFO: Epoch: [131] [ 0/229] learning_rate: 0.239531 loss_vfl: 0.865903 loss_bbox: 0.336899 loss_dfl: 0.200909 loss: 1.411143 eta: 1 day, 13:14:33 batch_cost: 3.9870 data_cost: 0.5159 ips: 32.1041 images/s [10/16 05:59:46] ppdet.engine INFO: Epoch: [131] [ 20/229] learning_rate: 0.239352 loss_vfl: 0.867346 loss_bbox: 0.355984 loss_dfl: 0.200678 loss: 1.412137 eta: 1 day, 13:13:25 batch_cost: 3.4843 data_cost: 0.0031 ips: 36.7367 images/s [10/16 06:01:00] ppdet.engine INFO: Epoch: [131] [ 40/229] learning_rate: 0.239173 loss_vfl: 0.884707 loss_bbox: 0.329268 loss_dfl: 0.202954 loss: 1.419120 eta: 1 day, 13:12:17 batch_cost: 3.5125 data_cost: 0.0026 ips: 36.4417 images/s [10/16 06:02:11] ppdet.engine INFO: Epoch: [131] [ 60/229] learning_rate: 0.238993 loss_vfl: 0.880260 loss_bbox: 0.343605 loss_dfl: 0.206519 loss: 1.400131 eta: 1 day, 13:11:06 batch_cost: 3.4239 data_cost: 0.0026 ips: 37.3842 images/s [10/16 06:03:19] ppdet.engine INFO: Epoch: [131] [ 80/229] learning_rate: 0.238814 loss_vfl: 0.875885 loss_bbox: 0.338121 loss_dfl: 0.210118 loss: 1.428288 eta: 1 day, 13:09:52 batch_cost: 3.2626 data_cost: 0.0031 ips: 39.2321 images/s [10/16 06:04:28] ppdet.engine INFO: Epoch: [131] [100/229] learning_rate: 0.238635 loss_vfl: 0.881237 loss_bbox: 0.332329 loss_dfl: 0.199853 loss: 1.406073 eta: 1 day, 13:08:38 batch_cost: 3.2881 data_cost: 0.0041 ips: 38.9277 images/s [10/16 06:05:40] ppdet.engine INFO: Epoch: [131] [120/229] learning_rate: 0.238455 loss_vfl: 0.884501 loss_bbox: 0.351148 loss_dfl: 0.206408 loss: 1.425638 eta: 1 day, 13:07:28 batch_cost: 3.4412 data_cost: 0.0032 ips: 37.1965 images/s [10/16 06:06:49] ppdet.engine INFO: Epoch: [131] [140/229] learning_rate: 0.238276 loss_vfl: 0.885290 loss_bbox: 0.323984 loss_dfl: 0.202322 loss: 1.411621 eta: 1 day, 13:06:14 batch_cost: 3.2931 data_cost: 0.0024 ips: 38.8694 images/s [10/16 06:07:58] ppdet.engine INFO: Epoch: [131] [160/229] learning_rate: 0.238096 loss_vfl: 0.878644 loss_bbox: 0.341454 loss_dfl: 0.203991 loss: 1.425218 eta: 1 day, 13:05:02 batch_cost: 3.3230 data_cost: 0.0025 ips: 38.5192 images/s [10/16 06:09:06] ppdet.engine INFO: Epoch: [131] [180/229] learning_rate: 0.237916 loss_vfl: 0.869916 loss_bbox: 0.346890 loss_dfl: 0.205324 loss: 1.420178 eta: 1 day, 13:03:47 batch_cost: 3.2747 data_cost: 0.0024 ips: 39.0872 images/s [10/16 06:10:17] ppdet.engine INFO: Epoch: [131] [200/229] learning_rate: 0.237737 loss_vfl: 0.896550 loss_bbox: 0.339755 loss_dfl: 0.208953 loss: 1.447935 eta: 1 day, 13:02:36 batch_cost: 3.3848 data_cost: 0.0031 ips: 37.8166 images/s [10/16 06:11:26] ppdet.engine INFO: Epoch: [131] [220/229] learning_rate: 0.237557 loss_vfl: 0.881569 loss_bbox: 0.346985 loss_dfl: 0.203857 loss: 1.428851 eta: 1 day, 13:01:22 batch_cost: 3.2863 data_cost: 0.0024 ips: 38.9501 images/s [10/16 06:12:17] ppdet.engine INFO: Epoch: [132] [ 0/229] learning_rate: 0.237476 loss_vfl: 0.877475 loss_bbox: 0.327365 loss_dfl: 0.201529 loss: 1.397381 eta: 1 day, 13:01:10 batch_cost: 3.9899 data_cost: 0.5445 ips: 32.0812 images/s [10/16 06:13:29] ppdet.engine INFO: Epoch: [132] [ 20/229] learning_rate: 0.237297 loss_vfl: 0.864049 loss_bbox: 0.350963 loss_dfl: 0.208124 loss: 1.430155 eta: 1 day, 13:00:01 batch_cost: 3.4411 data_cost: 0.0026 ips: 37.1969 images/s [10/16 06:14:43] ppdet.engine INFO: Epoch: [132] [ 40/229] learning_rate: 0.237117 loss_vfl: 0.879995 loss_bbox: 0.338174 loss_dfl: 0.208112 loss: 1.440051 eta: 1 day, 12:58:53 batch_cost: 3.5180 data_cost: 0.0027 ips: 36.3847 images/s [10/16 06:15:54] ppdet.engine INFO: Epoch: [132] [ 60/229] learning_rate: 0.236937 loss_vfl: 0.873897 loss_bbox: 0.338120 loss_dfl: 0.205775 loss: 1.407922 eta: 1 day, 12:57:42 batch_cost: 3.4104 data_cost: 0.0033 ips: 37.5327 images/s [10/16 06:17:05] ppdet.engine INFO: Epoch: [132] [ 80/229] learning_rate: 0.236757 loss_vfl: 0.877208 loss_bbox: 0.346598 loss_dfl: 0.210097 loss: 1.439549 eta: 1 day, 12:56:31 batch_cost: 3.4029 data_cost: 0.0025 ips: 37.6154 images/s [10/16 06:18:15] ppdet.engine INFO: Epoch: [132] [100/229] learning_rate: 0.236577 loss_vfl: 0.884566 loss_bbox: 0.346816 loss_dfl: 0.208411 loss: 1.424190 eta: 1 day, 12:55:19 batch_cost: 3.3364 data_cost: 0.0026 ips: 38.3648 images/s [10/16 06:19:25] ppdet.engine INFO: Epoch: [132] [120/229] learning_rate: 0.236398 loss_vfl: 0.878586 loss_bbox: 0.342799 loss_dfl: 0.201289 loss: 1.425306 eta: 1 day, 12:54:07 batch_cost: 3.3542 data_cost: 0.0026 ips: 38.1608 images/s [10/16 06:20:35] ppdet.engine INFO: Epoch: [132] [140/229] learning_rate: 0.236218 loss_vfl: 0.880199 loss_bbox: 0.348508 loss_dfl: 0.204454 loss: 1.426110 eta: 1 day, 12:52:55 batch_cost: 3.3700 data_cost: 0.0026 ips: 37.9825 images/s [10/16 06:21:45] ppdet.engine INFO: Epoch: [132] [160/229] learning_rate: 0.236038 loss_vfl: 0.873035 loss_bbox: 0.342402 loss_dfl: 0.200406 loss: 1.401001 eta: 1 day, 12:51:43 batch_cost: 3.3541 data_cost: 0.0031 ips: 38.1627 images/s [10/16 06:22:57] ppdet.engine INFO: Epoch: [132] [180/229] learning_rate: 0.235858 loss_vfl: 0.889340 loss_bbox: 0.326565 loss_dfl: 0.203604 loss: 1.441707 eta: 1 day, 12:50:33 batch_cost: 3.4192 data_cost: 0.0024 ips: 37.4351 images/s [10/16 06:24:08] ppdet.engine INFO: Epoch: [132] [200/229] learning_rate: 0.235678 loss_vfl: 0.874562 loss_bbox: 0.342516 loss_dfl: 0.206697 loss: 1.444823 eta: 1 day, 12:49:23 batch_cost: 3.4373 data_cost: 0.0031 ips: 37.2389 images/s [10/16 06:25:17] ppdet.engine INFO: Epoch: [132] [220/229] learning_rate: 0.235498 loss_vfl: 0.881350 loss_bbox: 0.325442 loss_dfl: 0.202625 loss: 1.415305 eta: 1 day, 12:48:08 batch_cost: 3.2630 data_cost: 0.0026 ips: 39.2277 images/s [10/16 06:26:09] ppdet.engine INFO: Epoch: [133] [ 0/229] learning_rate: 0.235417 loss_vfl: 0.887161 loss_bbox: 0.325442 loss_dfl: 0.197141 loss: 1.412417 eta: 1 day, 12:47:58 batch_cost: 4.0739 data_cost: 0.5624 ips: 31.4197 images/s [10/16 06:27:21] ppdet.engine INFO: Epoch: [133] [ 20/229] learning_rate: 0.235237 loss_vfl: 0.861427 loss_bbox: 0.343448 loss_dfl: 0.199047 loss: 1.410082 eta: 1 day, 12:46:49 batch_cost: 3.4823 data_cost: 0.0024 ips: 36.7578 images/s [10/16 06:28:33] ppdet.engine INFO: Epoch: [133] [ 40/229] learning_rate: 0.235057 loss_vfl: 0.870157 loss_bbox: 0.323889 loss_dfl: 0.201968 loss: 1.402868 eta: 1 day, 12:45:39 batch_cost: 3.4344 data_cost: 0.0024 ips: 37.2696 images/s [10/16 06:29:43] ppdet.engine INFO: Epoch: [133] [ 60/229] learning_rate: 0.234877 loss_vfl: 0.875678 loss_bbox: 0.341294 loss_dfl: 0.201358 loss: 1.414752 eta: 1 day, 12:44:27 batch_cost: 3.3718 data_cost: 0.0031 ips: 37.9624 images/s [10/16 06:30:54] ppdet.engine INFO: Epoch: [133] [ 80/229] learning_rate: 0.234697 loss_vfl: 0.869016 loss_bbox: 0.338794 loss_dfl: 0.205452 loss: 1.424298 eta: 1 day, 12:43:16 batch_cost: 3.3790 data_cost: 0.0024 ips: 37.8808 images/s [10/16 06:32:04] ppdet.engine INFO: Epoch: [133] [100/229] learning_rate: 0.234516 loss_vfl: 0.876783 loss_bbox: 0.330608 loss_dfl: 0.197277 loss: 1.404298 eta: 1 day, 12:42:03 batch_cost: 3.3441 data_cost: 0.0025 ips: 38.2768 images/s [10/16 06:33:14] ppdet.engine INFO: Epoch: [133] [120/229] learning_rate: 0.234336 loss_vfl: 0.881947 loss_bbox: 0.329768 loss_dfl: 0.202067 loss: 1.424930 eta: 1 day, 12:40:52 batch_cost: 3.3877 data_cost: 0.0024 ips: 37.7833 images/s [10/16 06:34:26] ppdet.engine INFO: Epoch: [133] [140/229] learning_rate: 0.234156 loss_vfl: 0.867503 loss_bbox: 0.343047 loss_dfl: 0.207771 loss: 1.406228 eta: 1 day, 12:39:42 batch_cost: 3.4265 data_cost: 0.0024 ips: 37.3555 images/s [10/16 06:35:38] ppdet.engine INFO: Epoch: [133] [160/229] learning_rate: 0.233976 loss_vfl: 0.874964 loss_bbox: 0.336808 loss_dfl: 0.206421 loss: 1.414713 eta: 1 day, 12:38:32 batch_cost: 3.4237 data_cost: 0.0027 ips: 37.3868 images/s [10/16 06:36:48] ppdet.engine INFO: Epoch: [133] [180/229] learning_rate: 0.233796 loss_vfl: 0.877106 loss_bbox: 0.339686 loss_dfl: 0.196995 loss: 1.411335 eta: 1 day, 12:37:20 batch_cost: 3.3521 data_cost: 0.0025 ips: 38.1854 images/s [10/16 06:37:59] ppdet.engine INFO: Epoch: [133] [200/229] learning_rate: 0.233615 loss_vfl: 0.870288 loss_bbox: 0.332744 loss_dfl: 0.200432 loss: 1.415867 eta: 1 day, 12:36:10 batch_cost: 3.4405 data_cost: 0.0026 ips: 37.2042 images/s [10/16 06:39:06] ppdet.engine INFO: Epoch: [133] [220/229] learning_rate: 0.233435 loss_vfl: 0.893631 loss_bbox: 0.340716 loss_dfl: 0.206777 loss: 1.433978 eta: 1 day, 12:34:54 batch_cost: 3.2001 data_cost: 0.0023 ips: 39.9991 images/s [10/16 06:40:00] ppdet.engine INFO: Epoch: [134] [ 0/229] learning_rate: 0.233354 loss_vfl: 0.879909 loss_bbox: 0.343739 loss_dfl: 0.206028 loss: 1.432896 eta: 1 day, 12:34:45 batch_cost: 4.1467 data_cost: 0.3802 ips: 30.8680 images/s [10/16 06:41:14] ppdet.engine INFO: Epoch: [134] [ 20/229] learning_rate: 0.233173 loss_vfl: 0.874759 loss_bbox: 0.313103 loss_dfl: 0.196146 loss: 1.400745 eta: 1 day, 12:33:38 batch_cost: 3.5422 data_cost: 0.0025 ips: 36.1354 images/s [10/16 06:42:27] ppdet.engine INFO: Epoch: [134] [ 40/229] learning_rate: 0.232993 loss_vfl: 0.876196 loss_bbox: 0.335249 loss_dfl: 0.206555 loss: 1.423372 eta: 1 day, 12:32:29 batch_cost: 3.5031 data_cost: 0.0025 ips: 36.5394 images/s [10/16 06:43:38] ppdet.engine INFO: Epoch: [134] [ 60/229] learning_rate: 0.232813 loss_vfl: 0.864475 loss_bbox: 0.329022 loss_dfl: 0.206824 loss: 1.410255 eta: 1 day, 12:31:19 batch_cost: 3.4090 data_cost: 0.0024 ips: 37.5478 images/s [10/16 06:44:51] ppdet.engine INFO: Epoch: [134] [ 80/229] learning_rate: 0.232632 loss_vfl: 0.857932 loss_bbox: 0.334747 loss_dfl: 0.203160 loss: 1.399538 eta: 1 day, 12:30:10 batch_cost: 3.4807 data_cost: 0.0025 ips: 36.7746 images/s [10/16 06:46:01] ppdet.engine INFO: Epoch: [134] [100/229] learning_rate: 0.232452 loss_vfl: 0.872432 loss_bbox: 0.345762 loss_dfl: 0.203575 loss: 1.427711 eta: 1 day, 12:28:58 batch_cost: 3.3629 data_cost: 0.0025 ips: 38.0626 images/s [10/16 06:47:12] ppdet.engine INFO: Epoch: [134] [120/229] learning_rate: 0.232271 loss_vfl: 0.879313 loss_bbox: 0.334309 loss_dfl: 0.200967 loss: 1.410409 eta: 1 day, 12:27:47 batch_cost: 3.4020 data_cost: 0.0025 ips: 37.6248 images/s [10/16 06:48:24] ppdet.engine INFO: Epoch: [134] [140/229] learning_rate: 0.232091 loss_vfl: 0.897499 loss_bbox: 0.339954 loss_dfl: 0.202414 loss: 1.422038 eta: 1 day, 12:26:38 batch_cost: 3.4632 data_cost: 0.0025 ips: 36.9604 images/s [10/16 06:49:35] ppdet.engine INFO: Epoch: [134] [160/229] learning_rate: 0.231910 loss_vfl: 0.896085 loss_bbox: 0.320293 loss_dfl: 0.201421 loss: 1.392726 eta: 1 day, 12:25:27 batch_cost: 3.3821 data_cost: 0.0025 ips: 37.8464 images/s [10/16 06:50:47] ppdet.engine INFO: Epoch: [134] [180/229] learning_rate: 0.231729 loss_vfl: 0.877606 loss_bbox: 0.340603 loss_dfl: 0.206385 loss: 1.430233 eta: 1 day, 12:24:17 batch_cost: 3.4593 data_cost: 0.0024 ips: 37.0015 images/s [10/16 06:51:55] ppdet.engine INFO: Epoch: [134] [200/229] learning_rate: 0.231549 loss_vfl: 0.892915 loss_bbox: 0.334939 loss_dfl: 0.207530 loss: 1.426128 eta: 1 day, 12:23:03 batch_cost: 3.2483 data_cost: 0.0023 ips: 39.4056 images/s [10/16 06:53:01] ppdet.engine INFO: Epoch: [134] [220/229] learning_rate: 0.231368 loss_vfl: 0.875899 loss_bbox: 0.337464 loss_dfl: 0.201594 loss: 1.408366 eta: 1 day, 12:21:46 batch_cost: 3.1519 data_cost: 0.0024 ips: 40.6103 images/s [10/16 06:53:55] ppdet.engine INFO: Epoch: [135] [ 0/229] learning_rate: 0.231287 loss_vfl: 0.881598 loss_bbox: 0.333607 loss_dfl: 0.199175 loss: 1.408342 eta: 1 day, 12:21:37 batch_cost: 4.1486 data_cost: 0.5859 ips: 30.8539 images/s [10/16 06:55:08] ppdet.engine INFO: Epoch: [135] [ 20/229] learning_rate: 0.231106 loss_vfl: 0.872950 loss_bbox: 0.338972 loss_dfl: 0.205997 loss: 1.414405 eta: 1 day, 12:20:29 batch_cost: 3.5151 data_cost: 0.0032 ips: 36.4147 images/s [10/16 06:56:17] ppdet.engine INFO: Epoch: [135] [ 40/229] learning_rate: 0.230926 loss_vfl: 0.878638 loss_bbox: 0.324530 loss_dfl: 0.199306 loss: 1.399759 eta: 1 day, 12:19:16 batch_cost: 3.3210 data_cost: 0.0027 ips: 38.5429 images/s [10/16 06:57:27] ppdet.engine INFO: Epoch: [135] [ 60/229] learning_rate: 0.230745 loss_vfl: 0.853443 loss_bbox: 0.337923 loss_dfl: 0.199585 loss: 1.392581 eta: 1 day, 12:18:04 batch_cost: 3.3413 data_cost: 0.0030 ips: 38.3086 images/s [10/16 06:58:39] ppdet.engine INFO: Epoch: [135] [ 80/229] learning_rate: 0.230564 loss_vfl: 0.865153 loss_bbox: 0.346987 loss_dfl: 0.205276 loss: 1.413514 eta: 1 day, 12:16:54 batch_cost: 3.4524 data_cost: 0.0028 ips: 37.0755 images/s [10/16 06:59:50] ppdet.engine INFO: Epoch: [135] [100/229] learning_rate: 0.230383 loss_vfl: 0.879566 loss_bbox: 0.330310 loss_dfl: 0.204598 loss: 1.406013 eta: 1 day, 12:15:43 batch_cost: 3.3872 data_cost: 0.0026 ips: 37.7889 images/s [10/16 07:01:01] ppdet.engine INFO: Epoch: [135] [120/229] learning_rate: 0.230202 loss_vfl: 0.880301 loss_bbox: 0.337312 loss_dfl: 0.201543 loss: 1.418088 eta: 1 day, 12:14:31 batch_cost: 3.3758 data_cost: 0.0026 ips: 37.9171 images/s [10/16 07:02:09] ppdet.engine INFO: Epoch: [135] [140/229] learning_rate: 0.230022 loss_vfl: 0.877240 loss_bbox: 0.339933 loss_dfl: 0.200485 loss: 1.420779 eta: 1 day, 12:13:17 batch_cost: 3.2682 data_cost: 0.0025 ips: 39.1658 images/s [10/16 07:03:20] ppdet.engine INFO: Epoch: [135] [160/229] learning_rate: 0.229841 loss_vfl: 0.872045 loss_bbox: 0.349485 loss_dfl: 0.211302 loss: 1.427191 eta: 1 day, 12:12:07 batch_cost: 3.4141 data_cost: 0.0026 ips: 37.4919 images/s [10/16 07:04:31] ppdet.engine INFO: Epoch: [135] [180/229] learning_rate: 0.229660 loss_vfl: 0.878452 loss_bbox: 0.327374 loss_dfl: 0.200403 loss: 1.414744 eta: 1 day, 12:10:56 batch_cost: 3.4043 data_cost: 0.0033 ips: 37.5994 images/s [10/16 07:05:44] ppdet.engine INFO: Epoch: [135] [200/229] learning_rate: 0.229479 loss_vfl: 0.875985 loss_bbox: 0.340245 loss_dfl: 0.206790 loss: 1.426692 eta: 1 day, 12:09:48 batch_cost: 3.5031 data_cost: 0.0025 ips: 36.5392 images/s [10/16 07:06:49] ppdet.engine INFO: Epoch: [135] [220/229] learning_rate: 0.229298 loss_vfl: 0.865640 loss_bbox: 0.330885 loss_dfl: 0.195075 loss: 1.392668 eta: 1 day, 12:08:30 batch_cost: 3.1213 data_cost: 0.0037 ips: 41.0081 images/s [10/16 07:07:42] ppdet.engine INFO: Epoch: [136] [ 0/229] learning_rate: 0.229217 loss_vfl: 0.875817 loss_bbox: 0.344807 loss_dfl: 0.204084 loss: 1.409399 eta: 1 day, 12:08:19 batch_cost: 4.0152 data_cost: 0.4969 ips: 31.8787 images/s [10/16 07:08:54] ppdet.engine INFO: Epoch: [136] [ 20/229] learning_rate: 0.229036 loss_vfl: 0.882910 loss_bbox: 0.319370 loss_dfl: 0.201306 loss: 1.397425 eta: 1 day, 12:07:10 batch_cost: 3.4650 data_cost: 0.0031 ips: 36.9407 images/s [10/16 07:10:07] ppdet.engine INFO: Epoch: [136] [ 40/229] learning_rate: 0.228855 loss_vfl: 0.877534 loss_bbox: 0.336255 loss_dfl: 0.200868 loss: 1.413741 eta: 1 day, 12:06:01 batch_cost: 3.5104 data_cost: 0.0026 ips: 36.4633 images/s [10/16 07:11:20] ppdet.engine INFO: Epoch: [136] [ 60/229] learning_rate: 0.228674 loss_vfl: 0.883530 loss_bbox: 0.321093 loss_dfl: 0.197280 loss: 1.389934 eta: 1 day, 12:04:52 batch_cost: 3.4714 data_cost: 0.0026 ips: 36.8726 images/s [10/16 07:12:32] ppdet.engine INFO: Epoch: [136] [ 80/229] learning_rate: 0.228493 loss_vfl: 0.870275 loss_bbox: 0.344379 loss_dfl: 0.208617 loss: 1.424605 eta: 1 day, 12:03:43 batch_cost: 3.4691 data_cost: 0.0025 ips: 36.8971 images/s [10/16 07:13:44] ppdet.engine INFO: Epoch: [136] [100/229] learning_rate: 0.228312 loss_vfl: 0.874409 loss_bbox: 0.336153 loss_dfl: 0.200914 loss: 1.418597 eta: 1 day, 12:02:34 batch_cost: 3.4560 data_cost: 0.0024 ips: 37.0372 images/s [10/16 07:14:55] ppdet.engine INFO: Epoch: [136] [120/229] learning_rate: 0.228130 loss_vfl: 0.879429 loss_bbox: 0.339590 loss_dfl: 0.202465 loss: 1.425117 eta: 1 day, 12:01:23 batch_cost: 3.4165 data_cost: 0.0025 ips: 37.4657 images/s [10/16 07:16:04] ppdet.engine INFO: Epoch: [136] [140/229] learning_rate: 0.227949 loss_vfl: 0.875341 loss_bbox: 0.326639 loss_dfl: 0.201354 loss: 1.395062 eta: 1 day, 12:00:10 batch_cost: 3.2960 data_cost: 0.0026 ips: 38.8349 images/s [10/16 07:17:17] ppdet.engine INFO: Epoch: [136] [160/229] learning_rate: 0.227768 loss_vfl: 0.897037 loss_bbox: 0.329853 loss_dfl: 0.202798 loss: 1.424944 eta: 1 day, 11:59:01 batch_cost: 3.4751 data_cost: 0.0026 ips: 36.8338 images/s [10/16 07:18:25] ppdet.engine INFO: Epoch: [136] [180/229] learning_rate: 0.227587 loss_vfl: 0.890578 loss_bbox: 0.317275 loss_dfl: 0.195894 loss: 1.404751 eta: 1 day, 11:57:47 batch_cost: 3.2628 data_cost: 0.0024 ips: 39.2302 images/s [10/16 07:19:34] ppdet.engine INFO: Epoch: [136] [200/229] learning_rate: 0.227406 loss_vfl: 0.870159 loss_bbox: 0.327047 loss_dfl: 0.202674 loss: 1.413054 eta: 1 day, 11:56:34 batch_cost: 3.3287 data_cost: 0.0031 ips: 38.4530 images/s [10/16 07:20:41] ppdet.engine INFO: Epoch: [136] [220/229] learning_rate: 0.227225 loss_vfl: 0.883620 loss_bbox: 0.335515 loss_dfl: 0.199178 loss: 1.416066 eta: 1 day, 11:55:18 batch_cost: 3.1740 data_cost: 0.0024 ips: 40.3276 images/s [10/16 07:21:34] ppdet.engine INFO: Epoch: [137] [ 0/229] learning_rate: 0.227143 loss_vfl: 0.881379 loss_bbox: 0.339795 loss_dfl: 0.200170 loss: 1.411999 eta: 1 day, 11:55:08 batch_cost: 4.0719 data_cost: 0.7831 ips: 31.4346 images/s [10/16 07:22:45] ppdet.engine INFO: Epoch: [137] [ 20/229] learning_rate: 0.226962 loss_vfl: 0.862554 loss_bbox: 0.331059 loss_dfl: 0.199597 loss: 1.396974 eta: 1 day, 11:53:57 batch_cost: 3.4038 data_cost: 0.0027 ips: 37.6054 images/s [10/16 07:23:56] ppdet.engine INFO: Epoch: [137] [ 40/229] learning_rate: 0.226781 loss_vfl: 0.882303 loss_bbox: 0.342693 loss_dfl: 0.208232 loss: 1.441813 eta: 1 day, 11:52:47 batch_cost: 3.4186 data_cost: 0.0025 ips: 37.4425 images/s [10/16 07:25:07] ppdet.engine INFO: Epoch: [137] [ 60/229] learning_rate: 0.226599 loss_vfl: 0.876246 loss_bbox: 0.310578 loss_dfl: 0.197154 loss: 1.385586 eta: 1 day, 11:51:35 batch_cost: 3.3821 data_cost: 0.0026 ips: 37.8462 images/s [10/16 07:26:16] ppdet.engine INFO: Epoch: [137] [ 80/229] learning_rate: 0.226418 loss_vfl: 0.878324 loss_bbox: 0.334853 loss_dfl: 0.204527 loss: 1.408196 eta: 1 day, 11:50:22 batch_cost: 3.3037 data_cost: 0.0024 ips: 38.7444 images/s [10/16 07:27:27] ppdet.engine INFO: Epoch: [137] [100/229] learning_rate: 0.226237 loss_vfl: 0.878287 loss_bbox: 0.322904 loss_dfl: 0.200027 loss: 1.391878 eta: 1 day, 11:49:12 batch_cost: 3.3999 data_cost: 0.0024 ips: 37.6477 images/s [10/16 07:28:38] ppdet.engine INFO: Epoch: [137] [120/229] learning_rate: 0.226055 loss_vfl: 0.892521 loss_bbox: 0.333626 loss_dfl: 0.206203 loss: 1.433818 eta: 1 day, 11:48:00 batch_cost: 3.3737 data_cost: 0.0025 ips: 37.9405 images/s [10/16 07:29:51] ppdet.engine INFO: Epoch: [137] [140/229] learning_rate: 0.225874 loss_vfl: 0.879863 loss_bbox: 0.328605 loss_dfl: 0.201599 loss: 1.411087 eta: 1 day, 11:46:52 batch_cost: 3.4992 data_cost: 0.0025 ips: 36.5803 images/s [10/16 07:31:02] ppdet.engine INFO: Epoch: [137] [160/229] learning_rate: 0.225693 loss_vfl: 0.874982 loss_bbox: 0.325851 loss_dfl: 0.200474 loss: 1.389605 eta: 1 day, 11:45:41 batch_cost: 3.3955 data_cost: 0.0024 ips: 37.6974 images/s [10/16 07:32:10] ppdet.engine INFO: Epoch: [137] [180/229] learning_rate: 0.225511 loss_vfl: 0.869251 loss_bbox: 0.333832 loss_dfl: 0.199821 loss: 1.412336 eta: 1 day, 11:44:27 batch_cost: 3.2739 data_cost: 0.0025 ips: 39.0977 images/s [10/16 07:33:19] ppdet.engine INFO: Epoch: [137] [200/229] learning_rate: 0.225330 loss_vfl: 0.881822 loss_bbox: 0.329492 loss_dfl: 0.197454 loss: 1.410995 eta: 1 day, 11:43:14 batch_cost: 3.3238 data_cost: 0.0024 ips: 38.5103 images/s [10/16 07:34:29] ppdet.engine INFO: Epoch: [137] [220/229] learning_rate: 0.225148 loss_vfl: 0.875553 loss_bbox: 0.331828 loss_dfl: 0.197065 loss: 1.411094 eta: 1 day, 11:42:01 batch_cost: 3.2988 data_cost: 0.0024 ips: 38.8019 images/s [10/16 07:35:22] ppdet.engine INFO: Epoch: [138] [ 0/229] learning_rate: 0.225067 loss_vfl: 0.874704 loss_bbox: 0.333655 loss_dfl: 0.197065 loss: 1.407158 eta: 1 day, 11:41:50 batch_cost: 4.1718 data_cost: 0.5421 ips: 30.6819 images/s [10/16 07:36:32] ppdet.engine INFO: Epoch: [138] [ 20/229] learning_rate: 0.224885 loss_vfl: 0.871540 loss_bbox: 0.326012 loss_dfl: 0.204169 loss: 1.411627 eta: 1 day, 11:40:39 batch_cost: 3.3683 data_cost: 0.0026 ips: 38.0008 images/s [10/16 07:37:43] ppdet.engine INFO: Epoch: [138] [ 40/229] learning_rate: 0.224704 loss_vfl: 0.882971 loss_bbox: 0.316136 loss_dfl: 0.197628 loss: 1.397684 eta: 1 day, 11:39:28 batch_cost: 3.4143 data_cost: 0.0025 ips: 37.4895 images/s [10/16 07:38:55] ppdet.engine INFO: Epoch: [138] [ 60/229] learning_rate: 0.224522 loss_vfl: 0.880698 loss_bbox: 0.332163 loss_dfl: 0.205943 loss: 1.411239 eta: 1 day, 11:38:18 batch_cost: 3.4209 data_cost: 0.0026 ips: 37.4174 images/s [10/16 07:40:06] ppdet.engine INFO: Epoch: [138] [ 80/229] learning_rate: 0.224341 loss_vfl: 0.876419 loss_bbox: 0.328221 loss_dfl: 0.197150 loss: 1.391676 eta: 1 day, 11:37:07 batch_cost: 3.4101 data_cost: 0.0026 ips: 37.5361 images/s [10/16 07:41:16] ppdet.engine INFO: Epoch: [138] [100/229] learning_rate: 0.224159 loss_vfl: 0.882497 loss_bbox: 0.335402 loss_dfl: 0.199629 loss: 1.410923 eta: 1 day, 11:35:55 batch_cost: 3.3494 data_cost: 0.0026 ips: 38.2156 images/s [10/16 07:42:25] ppdet.engine INFO: Epoch: [138] [120/229] learning_rate: 0.223977 loss_vfl: 0.881275 loss_bbox: 0.337373 loss_dfl: 0.199993 loss: 1.416170 eta: 1 day, 11:34:42 batch_cost: 3.2828 data_cost: 0.0024 ips: 38.9906 images/s [10/16 07:43:35] ppdet.engine INFO: Epoch: [138] [140/229] learning_rate: 0.223796 loss_vfl: 0.871041 loss_bbox: 0.332144 loss_dfl: 0.200874 loss: 1.403262 eta: 1 day, 11:33:30 batch_cost: 3.3543 data_cost: 0.0025 ips: 38.1599 images/s [10/16 07:44:46] ppdet.engine INFO: Epoch: [138] [160/229] learning_rate: 0.223614 loss_vfl: 0.877995 loss_bbox: 0.334279 loss_dfl: 0.205748 loss: 1.415676 eta: 1 day, 11:32:20 batch_cost: 3.4068 data_cost: 0.0026 ips: 37.5723 images/s [10/16 07:45:57] ppdet.engine INFO: Epoch: [138] [180/229] learning_rate: 0.223433 loss_vfl: 0.879792 loss_bbox: 0.325147 loss_dfl: 0.201264 loss: 1.423006 eta: 1 day, 11:31:09 batch_cost: 3.4023 data_cost: 0.0025 ips: 37.6214 images/s [10/16 07:47:08] ppdet.engine INFO: Epoch: [138] [200/229] learning_rate: 0.223251 loss_vfl: 0.888547 loss_bbox: 0.332626 loss_dfl: 0.201353 loss: 1.412121 eta: 1 day, 11:29:58 batch_cost: 3.4057 data_cost: 0.0026 ips: 37.5840 images/s [10/16 07:48:16] ppdet.engine INFO: Epoch: [138] [220/229] learning_rate: 0.223069 loss_vfl: 0.873519 loss_bbox: 0.337603 loss_dfl: 0.204528 loss: 1.411739 eta: 1 day, 11:28:44 batch_cost: 3.2501 data_cost: 0.0024 ips: 39.3829 images/s [10/16 07:49:07] ppdet.engine INFO: Epoch: [139] [ 0/229] learning_rate: 0.222987 loss_vfl: 0.874593 loss_bbox: 0.344355 loss_dfl: 0.204859 loss: 1.413929 eta: 1 day, 11:28:31 batch_cost: 4.0596 data_cost: 0.4147 ips: 31.5304 images/s [10/16 07:50:18] ppdet.engine INFO: Epoch: [139] [ 20/229] learning_rate: 0.222806 loss_vfl: 0.863776 loss_bbox: 0.348046 loss_dfl: 0.206948 loss: 1.420720 eta: 1 day, 11:27:20 batch_cost: 3.4018 data_cost: 0.0025 ips: 37.6277 images/s [10/16 07:51:30] ppdet.engine INFO: Epoch: [139] [ 40/229] learning_rate: 0.222624 loss_vfl: 0.870514 loss_bbox: 0.346732 loss_dfl: 0.199137 loss: 1.400635 eta: 1 day, 11:26:10 batch_cost: 3.4336 data_cost: 0.0026 ips: 37.2790 images/s [10/16 07:52:42] ppdet.engine INFO: Epoch: [139] [ 60/229] learning_rate: 0.222442 loss_vfl: 0.866418 loss_bbox: 0.345833 loss_dfl: 0.204151 loss: 1.428669 eta: 1 day, 11:25:01 batch_cost: 3.4739 data_cost: 0.0025 ips: 36.8465 images/s [10/16 07:53:53] ppdet.engine INFO: Epoch: [139] [ 80/229] learning_rate: 0.222260 loss_vfl: 0.879787 loss_bbox: 0.336124 loss_dfl: 0.201114 loss: 1.417899 eta: 1 day, 11:23:50 batch_cost: 3.3815 data_cost: 0.0026 ips: 37.8534 images/s [10/16 07:55:03] ppdet.engine INFO: Epoch: [139] [100/229] learning_rate: 0.222079 loss_vfl: 0.868098 loss_bbox: 0.322737 loss_dfl: 0.193716 loss: 1.393478 eta: 1 day, 11:22:39 batch_cost: 3.3721 data_cost: 0.0027 ips: 37.9589 images/s [10/16 07:56:13] ppdet.engine INFO: Epoch: [139] [120/229] learning_rate: 0.221897 loss_vfl: 0.871691 loss_bbox: 0.328944 loss_dfl: 0.198793 loss: 1.401333 eta: 1 day, 11:21:26 batch_cost: 3.3386 data_cost: 0.0025 ips: 38.3391 images/s [10/16 07:57:24] ppdet.engine INFO: Epoch: [139] [140/229] learning_rate: 0.221715 loss_vfl: 0.861430 loss_bbox: 0.344064 loss_dfl: 0.202568 loss: 1.401256 eta: 1 day, 11:20:16 batch_cost: 3.4027 data_cost: 0.0025 ips: 37.6167 images/s [10/16 07:58:34] ppdet.engine INFO: Epoch: [139] [160/229] learning_rate: 0.221533 loss_vfl: 0.862301 loss_bbox: 0.329436 loss_dfl: 0.197936 loss: 1.400967 eta: 1 day, 11:19:04 batch_cost: 3.3540 data_cost: 0.0025 ips: 38.1631 images/s [10/16 07:59:46] ppdet.engine INFO: Epoch: [139] [180/229] learning_rate: 0.221351 loss_vfl: 0.875606 loss_bbox: 0.338367 loss_dfl: 0.210980 loss: 1.424913 eta: 1 day, 11:17:54 batch_cost: 3.4190 data_cost: 0.0025 ips: 37.4378 images/s [10/16 08:00:55] ppdet.engine INFO: Epoch: [139] [200/229] learning_rate: 0.221169 loss_vfl: 0.876210 loss_bbox: 0.336938 loss_dfl: 0.204625 loss: 1.398419 eta: 1 day, 11:16:41 batch_cost: 3.3362 data_cost: 0.0026 ips: 38.3674 images/s [10/16 08:02:03] ppdet.engine INFO: Epoch: [139] [220/229] learning_rate: 0.220988 loss_vfl: 0.872784 loss_bbox: 0.316746 loss_dfl: 0.192067 loss: 1.384065 eta: 1 day, 11:15:27 batch_cost: 3.2188 data_cost: 0.0024 ips: 39.7668 images/s [10/16 08:02:30] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 08:02:31] ppdet.engine INFO: Eval iter: 0 [10/16 08:03:12] ppdet.engine INFO: Eval iter: 100 [10/16 08:03:36] ppdet.engine INFO: Eval iter: 200 [10/16 08:03:59] ppdet.engine INFO: Eval iter: 300 [10/16 08:04:22] ppdet.engine INFO: Eval iter: 400 [10/16 08:04:44] ppdet.engine INFO: Eval iter: 500 [10/16 08:05:07] ppdet.engine INFO: Eval iter: 600 [10/16 08:05:28] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.92s) creating index... index created! [10/16 08:05:29] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.73s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=94.33s). Accumulating evaluation results... DONE (t=18.28s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.259 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.397 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.271 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.079 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 ] = 0.449 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 ] = 0.385 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.411 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.134 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.450 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.674 [10/16 08:07:28] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.439831640944753 [10/16 08:07:28] ppdet.engine INFO: Best test bbox ap is 0.259. [10/16 08:07:28] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 08:07:31] ppdet.engine INFO: Epoch: [140] [ 0/229] learning_rate: 0.220906 loss_vfl: 0.869460 loss_bbox: 0.314373 loss_dfl: 0.191857 loss: 1.376978 eta: 1 day, 11:14:49 batch_cost: 2.9411 data_cost: 0.0023 ips: 43.5215 images/s [10/16 08:08:45] ppdet.engine INFO: Epoch: [140] [ 20/229] learning_rate: 0.220724 loss_vfl: 0.878550 loss_bbox: 0.322193 loss_dfl: 0.199209 loss: 1.396475 eta: 1 day, 11:13:42 batch_cost: 3.5415 data_cost: 0.0027 ips: 36.1432 images/s [10/16 08:09:56] ppdet.engine INFO: Epoch: [140] [ 40/229] learning_rate: 0.220542 loss_vfl: 0.865155 loss_bbox: 0.332133 loss_dfl: 0.195265 loss: 1.410531 eta: 1 day, 11:12:31 batch_cost: 3.4132 data_cost: 0.0025 ips: 37.5014 images/s [10/16 08:11:07] ppdet.engine INFO: Epoch: [140] [ 60/229] learning_rate: 0.220360 loss_vfl: 0.891513 loss_bbox: 0.347403 loss_dfl: 0.207628 loss: 1.427240 eta: 1 day, 11:11:20 batch_cost: 3.3773 data_cost: 0.0025 ips: 37.9005 images/s [10/16 08:12:18] ppdet.engine INFO: Epoch: [140] [ 80/229] learning_rate: 0.220178 loss_vfl: 0.877166 loss_bbox: 0.336187 loss_dfl: 0.201709 loss: 1.413602 eta: 1 day, 11:10:09 batch_cost: 3.3964 data_cost: 0.0025 ips: 37.6867 images/s [10/16 08:13:29] ppdet.engine INFO: Epoch: [140] [100/229] learning_rate: 0.219996 loss_vfl: 0.863007 loss_bbox: 0.319248 loss_dfl: 0.195517 loss: 1.379880 eta: 1 day, 11:08:59 batch_cost: 3.4203 data_cost: 0.0025 ips: 37.4236 images/s [10/16 08:14:40] ppdet.engine INFO: Epoch: [140] [120/229] learning_rate: 0.219814 loss_vfl: 0.882964 loss_bbox: 0.331805 loss_dfl: 0.201393 loss: 1.423542 eta: 1 day, 11:07:48 batch_cost: 3.3904 data_cost: 0.0026 ips: 37.7532 images/s [10/16 08:15:52] ppdet.engine INFO: Epoch: [140] [140/229] learning_rate: 0.219632 loss_vfl: 0.880165 loss_bbox: 0.330037 loss_dfl: 0.200955 loss: 1.421079 eta: 1 day, 11:06:38 batch_cost: 3.4213 data_cost: 0.0035 ips: 37.4132 images/s [10/16 08:17:02] ppdet.engine INFO: Epoch: [140] [160/229] learning_rate: 0.219450 loss_vfl: 0.878726 loss_bbox: 0.323365 loss_dfl: 0.191357 loss: 1.400951 eta: 1 day, 11:05:27 batch_cost: 3.3823 data_cost: 0.0026 ips: 37.8441 images/s [10/16 08:18:13] ppdet.engine INFO: Epoch: [140] [180/229] learning_rate: 0.219268 loss_vfl: 0.878394 loss_bbox: 0.326517 loss_dfl: 0.203473 loss: 1.412201 eta: 1 day, 11:04:16 batch_cost: 3.3944 data_cost: 0.0025 ips: 37.7093 images/s [10/16 08:19:24] ppdet.engine INFO: Epoch: [140] [200/229] learning_rate: 0.219086 loss_vfl: 0.861809 loss_bbox: 0.333905 loss_dfl: 0.205095 loss: 1.400636 eta: 1 day, 11:03:05 batch_cost: 3.4013 data_cost: 0.0025 ips: 37.6321 images/s [10/16 08:20:31] ppdet.engine INFO: Epoch: [140] [220/229] learning_rate: 0.218904 loss_vfl: 0.866558 loss_bbox: 0.343200 loss_dfl: 0.204916 loss: 1.410386 eta: 1 day, 11:01:50 batch_cost: 3.1869 data_cost: 0.0023 ips: 40.1642 images/s [10/16 08:21:26] ppdet.engine INFO: Epoch: [141] [ 0/229] learning_rate: 0.218822 loss_vfl: 0.867705 loss_bbox: 0.330958 loss_dfl: 0.200988 loss: 1.409694 eta: 1 day, 11:01:41 batch_cost: 4.2155 data_cost: 0.4109 ips: 30.3638 images/s [10/16 08:22:37] ppdet.engine INFO: Epoch: [141] [ 20/229] learning_rate: 0.218640 loss_vfl: 0.863633 loss_bbox: 0.335502 loss_dfl: 0.206225 loss: 1.404804 eta: 1 day, 11:00:30 batch_cost: 3.3871 data_cost: 0.0024 ips: 37.7909 images/s [10/16 08:23:46] ppdet.engine INFO: Epoch: [141] [ 40/229] learning_rate: 0.218457 loss_vfl: 0.878961 loss_bbox: 0.327347 loss_dfl: 0.197039 loss: 1.407881 eta: 1 day, 10:59:17 batch_cost: 3.3324 data_cost: 0.0025 ips: 38.4109 images/s [10/16 08:24:57] ppdet.engine INFO: Epoch: [141] [ 60/229] learning_rate: 0.218275 loss_vfl: 0.883948 loss_bbox: 0.355829 loss_dfl: 0.214949 loss: 1.448410 eta: 1 day, 10:58:06 batch_cost: 3.3905 data_cost: 0.0037 ips: 37.7527 images/s [10/16 08:26:07] ppdet.engine INFO: Epoch: [141] [ 80/229] learning_rate: 0.218093 loss_vfl: 0.863413 loss_bbox: 0.342170 loss_dfl: 0.201648 loss: 1.400760 eta: 1 day, 10:56:54 batch_cost: 3.3400 data_cost: 0.0024 ips: 38.3234 images/s [10/16 08:27:18] ppdet.engine INFO: Epoch: [141] [100/229] learning_rate: 0.217911 loss_vfl: 0.879258 loss_bbox: 0.326638 loss_dfl: 0.198669 loss: 1.396086 eta: 1 day, 10:55:44 batch_cost: 3.4118 data_cost: 0.0024 ips: 37.5168 images/s [10/16 08:28:30] ppdet.engine INFO: Epoch: [141] [120/229] learning_rate: 0.217729 loss_vfl: 0.877242 loss_bbox: 0.325091 loss_dfl: 0.198330 loss: 1.409191 eta: 1 day, 10:54:34 batch_cost: 3.4341 data_cost: 0.0031 ips: 37.2732 images/s [10/16 08:29:40] ppdet.engine INFO: Epoch: [141] [140/229] learning_rate: 0.217547 loss_vfl: 0.862044 loss_bbox: 0.336808 loss_dfl: 0.203248 loss: 1.400474 eta: 1 day, 10:53:22 batch_cost: 3.3520 data_cost: 0.0024 ips: 38.1858 images/s [10/16 08:30:50] ppdet.engine INFO: Epoch: [141] [160/229] learning_rate: 0.217364 loss_vfl: 0.875356 loss_bbox: 0.332344 loss_dfl: 0.201233 loss: 1.419528 eta: 1 day, 10:52:11 batch_cost: 3.3735 data_cost: 0.0024 ips: 37.9431 images/s [10/16 08:32:00] ppdet.engine INFO: Epoch: [141] [180/229] learning_rate: 0.217182 loss_vfl: 0.877873 loss_bbox: 0.328170 loss_dfl: 0.203150 loss: 1.409158 eta: 1 day, 10:51:00 batch_cost: 3.3593 data_cost: 0.0024 ips: 38.1029 images/s [10/16 08:33:10] ppdet.engine INFO: Epoch: [141] [200/229] learning_rate: 0.217000 loss_vfl: 0.870828 loss_bbox: 0.346952 loss_dfl: 0.209659 loss: 1.438355 eta: 1 day, 10:49:48 batch_cost: 3.3398 data_cost: 0.0025 ips: 38.3260 images/s [10/16 08:34:17] ppdet.engine INFO: Epoch: [141] [220/229] learning_rate: 0.216818 loss_vfl: 0.875205 loss_bbox: 0.329985 loss_dfl: 0.192679 loss: 1.401020 eta: 1 day, 10:48:33 batch_cost: 3.2298 data_cost: 0.0024 ips: 39.6314 images/s [10/16 08:35:12] ppdet.engine INFO: Epoch: [142] [ 0/229] learning_rate: 0.216736 loss_vfl: 0.891350 loss_bbox: 0.333564 loss_dfl: 0.202782 loss: 1.416250 eta: 1 day, 10:48:22 batch_cost: 4.1889 data_cost: 0.7375 ips: 30.5569 images/s [10/16 08:36:23] ppdet.engine INFO: Epoch: [142] [ 20/229] learning_rate: 0.216553 loss_vfl: 0.870640 loss_bbox: 0.344503 loss_dfl: 0.205354 loss: 1.406594 eta: 1 day, 10:47:12 batch_cost: 3.3951 data_cost: 0.0027 ips: 37.7019 images/s [10/16 08:37:34] ppdet.engine INFO: Epoch: [142] [ 40/229] learning_rate: 0.216371 loss_vfl: 0.872883 loss_bbox: 0.337863 loss_dfl: 0.210307 loss: 1.412723 eta: 1 day, 10:46:01 batch_cost: 3.4098 data_cost: 0.0025 ips: 37.5391 images/s [10/16 08:38:46] ppdet.engine INFO: Epoch: [142] [ 60/229] learning_rate: 0.216189 loss_vfl: 0.861501 loss_bbox: 0.332276 loss_dfl: 0.202581 loss: 1.395571 eta: 1 day, 10:44:52 batch_cost: 3.4608 data_cost: 0.0025 ips: 36.9860 images/s [10/16 08:39:56] ppdet.engine INFO: Epoch: [142] [ 80/229] learning_rate: 0.216006 loss_vfl: 0.874733 loss_bbox: 0.334765 loss_dfl: 0.204814 loss: 1.414953 eta: 1 day, 10:43:41 batch_cost: 3.3733 data_cost: 0.0025 ips: 37.9454 images/s [10/16 08:41:08] ppdet.engine INFO: Epoch: [142] [100/229] learning_rate: 0.215824 loss_vfl: 0.885980 loss_bbox: 0.326541 loss_dfl: 0.200903 loss: 1.417579 eta: 1 day, 10:42:31 batch_cost: 3.4337 data_cost: 0.0027 ips: 37.2773 images/s [10/16 08:42:19] ppdet.engine INFO: Epoch: [142] [120/229] learning_rate: 0.215642 loss_vfl: 0.876371 loss_bbox: 0.327566 loss_dfl: 0.197347 loss: 1.406031 eta: 1 day, 10:41:20 batch_cost: 3.3925 data_cost: 0.0032 ips: 37.7304 images/s [10/16 08:43:32] ppdet.engine INFO: Epoch: [142] [140/229] learning_rate: 0.215459 loss_vfl: 0.874548 loss_bbox: 0.320549 loss_dfl: 0.196958 loss: 1.402540 eta: 1 day, 10:40:12 batch_cost: 3.5033 data_cost: 0.0024 ips: 36.5373 images/s [10/16 08:44:44] ppdet.engine INFO: Epoch: [142] [160/229] learning_rate: 0.215277 loss_vfl: 0.879295 loss_bbox: 0.341837 loss_dfl: 0.205087 loss: 1.416916 eta: 1 day, 10:39:02 batch_cost: 3.4569 data_cost: 0.0026 ips: 37.0275 images/s [10/16 08:45:54] ppdet.engine INFO: Epoch: [142] [180/229] learning_rate: 0.215095 loss_vfl: 0.867368 loss_bbox: 0.316745 loss_dfl: 0.193346 loss: 1.382348 eta: 1 day, 10:37:50 batch_cost: 3.3475 data_cost: 0.0024 ips: 38.2371 images/s [10/16 08:47:07] ppdet.engine INFO: Epoch: [142] [200/229] learning_rate: 0.214912 loss_vfl: 0.863211 loss_bbox: 0.319064 loss_dfl: 0.200076 loss: 1.389615 eta: 1 day, 10:36:42 batch_cost: 3.5030 data_cost: 0.0023 ips: 36.5401 images/s [10/16 08:48:17] ppdet.engine INFO: Epoch: [142] [220/229] learning_rate: 0.214730 loss_vfl: 0.873684 loss_bbox: 0.343666 loss_dfl: 0.209776 loss: 1.430517 eta: 1 day, 10:35:30 batch_cost: 3.3501 data_cost: 0.0028 ips: 38.2080 images/s [10/16 08:49:11] ppdet.engine INFO: Epoch: [143] [ 0/229] learning_rate: 0.214648 loss_vfl: 0.878189 loss_bbox: 0.327408 loss_dfl: 0.204422 loss: 1.408030 eta: 1 day, 10:35:19 batch_cost: 4.2891 data_cost: 0.7816 ips: 29.8431 images/s [10/16 08:50:24] ppdet.engine INFO: Epoch: [143] [ 20/229] learning_rate: 0.214465 loss_vfl: 0.868422 loss_bbox: 0.321399 loss_dfl: 0.198943 loss: 1.381599 eta: 1 day, 10:34:11 batch_cost: 3.5184 data_cost: 0.0025 ips: 36.3799 images/s [10/16 08:51:35] ppdet.engine INFO: Epoch: [143] [ 40/229] learning_rate: 0.214283 loss_vfl: 0.868121 loss_bbox: 0.321643 loss_dfl: 0.203045 loss: 1.411382 eta: 1 day, 10:33:00 batch_cost: 3.3679 data_cost: 0.0029 ips: 38.0054 images/s [10/16 08:52:46] ppdet.engine INFO: Epoch: [143] [ 60/229] learning_rate: 0.214100 loss_vfl: 0.866279 loss_bbox: 0.336208 loss_dfl: 0.204915 loss: 1.424200 eta: 1 day, 10:31:50 batch_cost: 3.4100 data_cost: 0.0025 ips: 37.5366 images/s [10/16 08:53:59] ppdet.engine INFO: Epoch: [143] [ 80/229] learning_rate: 0.213918 loss_vfl: 0.861563 loss_bbox: 0.344882 loss_dfl: 0.205933 loss: 1.403862 eta: 1 day, 10:30:41 batch_cost: 3.4808 data_cost: 0.0024 ips: 36.7737 images/s [10/16 08:55:09] ppdet.engine INFO: Epoch: [143] [100/229] learning_rate: 0.213735 loss_vfl: 0.873580 loss_bbox: 0.316503 loss_dfl: 0.198135 loss: 1.409891 eta: 1 day, 10:29:29 batch_cost: 3.3613 data_cost: 0.0024 ips: 38.0800 images/s [10/16 08:56:21] ppdet.engine INFO: Epoch: [143] [120/229] learning_rate: 0.213553 loss_vfl: 0.883205 loss_bbox: 0.327981 loss_dfl: 0.199857 loss: 1.415946 eta: 1 day, 10:28:19 batch_cost: 3.4335 data_cost: 0.0026 ips: 37.2798 images/s [10/16 08:57:33] ppdet.engine INFO: Epoch: [143] [140/229] learning_rate: 0.213370 loss_vfl: 0.881277 loss_bbox: 0.324906 loss_dfl: 0.198163 loss: 1.396448 eta: 1 day, 10:27:10 batch_cost: 3.4748 data_cost: 0.0024 ips: 36.8368 images/s [10/16 08:58:45] ppdet.engine INFO: Epoch: [143] [160/229] learning_rate: 0.213188 loss_vfl: 0.863163 loss_bbox: 0.340113 loss_dfl: 0.198477 loss: 1.409674 eta: 1 day, 10:26:01 batch_cost: 3.4397 data_cost: 0.0025 ips: 37.2127 images/s [10/16 08:59:56] ppdet.engine INFO: Epoch: [143] [180/229] learning_rate: 0.213005 loss_vfl: 0.863308 loss_bbox: 0.335550 loss_dfl: 0.201850 loss: 1.393183 eta: 1 day, 10:24:50 batch_cost: 3.3920 data_cost: 0.0025 ips: 37.7359 images/s [10/16 09:01:06] ppdet.engine INFO: Epoch: [143] [200/229] learning_rate: 0.212823 loss_vfl: 0.872906 loss_bbox: 0.323174 loss_dfl: 0.197357 loss: 1.396981 eta: 1 day, 10:23:39 batch_cost: 3.3890 data_cost: 0.0024 ips: 37.7694 images/s [10/16 09:02:13] ppdet.engine INFO: Epoch: [143] [220/229] learning_rate: 0.212640 loss_vfl: 0.884965 loss_bbox: 0.317157 loss_dfl: 0.197601 loss: 1.396555 eta: 1 day, 10:22:23 batch_cost: 3.1802 data_cost: 0.0023 ips: 40.2486 images/s [10/16 09:03:04] ppdet.engine INFO: Epoch: [144] [ 0/229] learning_rate: 0.212558 loss_vfl: 0.877060 loss_bbox: 0.313665 loss_dfl: 0.196172 loss: 1.402292 eta: 1 day, 10:22:09 batch_cost: 3.9917 data_cost: 0.4382 ips: 32.0667 images/s [10/16 09:04:17] ppdet.engine INFO: Epoch: [144] [ 20/229] learning_rate: 0.212376 loss_vfl: 0.868944 loss_bbox: 0.345881 loss_dfl: 0.205786 loss: 1.423925 eta: 1 day, 10:21:00 batch_cost: 3.4673 data_cost: 0.0029 ips: 36.9163 images/s [10/16 09:05:29] ppdet.engine INFO: Epoch: [144] [ 40/229] learning_rate: 0.212193 loss_vfl: 0.876790 loss_bbox: 0.332422 loss_dfl: 0.201915 loss: 1.413978 eta: 1 day, 10:19:51 batch_cost: 3.4608 data_cost: 0.0035 ips: 36.9857 images/s [10/16 09:06:43] ppdet.engine INFO: Epoch: [144] [ 60/229] learning_rate: 0.212010 loss_vfl: 0.877415 loss_bbox: 0.324303 loss_dfl: 0.195699 loss: 1.402428 eta: 1 day, 10:18:43 batch_cost: 3.5335 data_cost: 0.0041 ips: 36.2244 images/s [10/16 09:07:53] ppdet.engine INFO: Epoch: [144] [ 80/229] learning_rate: 0.211828 loss_vfl: 0.868386 loss_bbox: 0.324258 loss_dfl: 0.201494 loss: 1.383510 eta: 1 day, 10:17:32 batch_cost: 3.3757 data_cost: 0.0031 ips: 37.9175 images/s [10/16 09:09:03] ppdet.engine INFO: Epoch: [144] [100/229] learning_rate: 0.211645 loss_vfl: 0.862555 loss_bbox: 0.340041 loss_dfl: 0.204445 loss: 1.398813 eta: 1 day, 10:16:20 batch_cost: 3.3450 data_cost: 0.0030 ips: 38.2658 images/s [10/16 09:10:14] ppdet.engine INFO: Epoch: [144] [120/229] learning_rate: 0.211463 loss_vfl: 0.873489 loss_bbox: 0.341953 loss_dfl: 0.203963 loss: 1.406705 eta: 1 day, 10:15:09 batch_cost: 3.3705 data_cost: 0.0030 ips: 37.9765 images/s [10/16 09:11:25] ppdet.engine INFO: Epoch: [144] [140/229] learning_rate: 0.211280 loss_vfl: 0.871184 loss_bbox: 0.338184 loss_dfl: 0.204220 loss: 1.402962 eta: 1 day, 10:13:58 batch_cost: 3.4051 data_cost: 0.0033 ips: 37.5906 images/s [10/16 09:12:35] ppdet.engine INFO: Epoch: [144] [160/229] learning_rate: 0.211097 loss_vfl: 0.886002 loss_bbox: 0.341628 loss_dfl: 0.205039 loss: 1.438004 eta: 1 day, 10:12:47 batch_cost: 3.3598 data_cost: 0.0034 ips: 38.0975 images/s [10/16 09:13:44] ppdet.engine INFO: Epoch: [144] [180/229] learning_rate: 0.210915 loss_vfl: 0.886720 loss_bbox: 0.329196 loss_dfl: 0.200217 loss: 1.411272 eta: 1 day, 10:11:34 batch_cost: 3.3044 data_cost: 0.0028 ips: 38.7362 images/s [10/16 09:14:54] ppdet.engine INFO: Epoch: [144] [200/229] learning_rate: 0.210732 loss_vfl: 0.871867 loss_bbox: 0.335471 loss_dfl: 0.206328 loss: 1.417612 eta: 1 day, 10:10:23 batch_cost: 3.3698 data_cost: 0.0027 ips: 37.9849 images/s [10/16 09:16:01] ppdet.engine INFO: Epoch: [144] [220/229] learning_rate: 0.210549 loss_vfl: 0.853488 loss_bbox: 0.329733 loss_dfl: 0.203112 loss: 1.387431 eta: 1 day, 10:09:07 batch_cost: 3.1743 data_cost: 0.0027 ips: 40.3240 images/s [10/16 09:16:55] ppdet.engine INFO: Epoch: [145] [ 0/229] learning_rate: 0.210467 loss_vfl: 0.864315 loss_bbox: 0.331740 loss_dfl: 0.203112 loss: 1.391163 eta: 1 day, 10:08:55 batch_cost: 4.0852 data_cost: 0.6458 ips: 31.3330 images/s [10/16 09:18:08] ppdet.engine INFO: Epoch: [145] [ 20/229] learning_rate: 0.210285 loss_vfl: 0.875345 loss_bbox: 0.327547 loss_dfl: 0.201474 loss: 1.412140 eta: 1 day, 10:07:47 batch_cost: 3.4991 data_cost: 0.0024 ips: 36.5809 images/s [10/16 09:19:20] ppdet.engine INFO: Epoch: [145] [ 40/229] learning_rate: 0.210102 loss_vfl: 0.875281 loss_bbox: 0.327900 loss_dfl: 0.198933 loss: 1.392738 eta: 1 day, 10:06:38 batch_cost: 3.4742 data_cost: 0.0024 ips: 36.8434 images/s [10/16 09:20:31] ppdet.engine INFO: Epoch: [145] [ 60/229] learning_rate: 0.209919 loss_vfl: 0.862029 loss_bbox: 0.335160 loss_dfl: 0.203599 loss: 1.391475 eta: 1 day, 10:05:27 batch_cost: 3.4019 data_cost: 0.0025 ips: 37.6259 images/s [10/16 09:21:42] ppdet.engine INFO: Epoch: [145] [ 80/229] learning_rate: 0.209736 loss_vfl: 0.866641 loss_bbox: 0.326905 loss_dfl: 0.200972 loss: 1.396594 eta: 1 day, 10:04:17 batch_cost: 3.4147 data_cost: 0.0025 ips: 37.4846 images/s [10/16 09:22:53] ppdet.engine INFO: Epoch: [145] [100/229] learning_rate: 0.209554 loss_vfl: 0.861102 loss_bbox: 0.337012 loss_dfl: 0.199215 loss: 1.396622 eta: 1 day, 10:03:05 batch_cost: 3.3519 data_cost: 0.0025 ips: 38.1872 images/s [10/16 09:24:04] ppdet.engine INFO: Epoch: [145] [120/229] learning_rate: 0.209371 loss_vfl: 0.879435 loss_bbox: 0.344604 loss_dfl: 0.210861 loss: 1.437368 eta: 1 day, 10:01:55 batch_cost: 3.4051 data_cost: 0.0024 ips: 37.5910 images/s [10/16 09:25:16] ppdet.engine INFO: Epoch: [145] [140/229] learning_rate: 0.209188 loss_vfl: 0.856899 loss_bbox: 0.336157 loss_dfl: 0.205255 loss: 1.410589 eta: 1 day, 10:00:45 batch_cost: 3.4670 data_cost: 0.0025 ips: 36.9191 images/s [10/16 09:26:28] ppdet.engine INFO: Epoch: [145] [160/229] learning_rate: 0.209006 loss_vfl: 0.871108 loss_bbox: 0.319575 loss_dfl: 0.193163 loss: 1.388902 eta: 1 day, 9:59:35 batch_cost: 3.4300 data_cost: 0.0025 ips: 37.3174 images/s [10/16 09:27:39] ppdet.engine INFO: Epoch: [145] [180/229] learning_rate: 0.208823 loss_vfl: 0.872189 loss_bbox: 0.339988 loss_dfl: 0.203519 loss: 1.415911 eta: 1 day, 9:58:25 batch_cost: 3.4013 data_cost: 0.0026 ips: 37.6331 images/s [10/16 09:28:48] ppdet.engine INFO: Epoch: [145] [200/229] learning_rate: 0.208640 loss_vfl: 0.878124 loss_bbox: 0.338738 loss_dfl: 0.197263 loss: 1.403991 eta: 1 day, 9:57:13 batch_cost: 3.3344 data_cost: 0.0024 ips: 38.3878 images/s [10/16 09:29:56] ppdet.engine INFO: Epoch: [145] [220/229] learning_rate: 0.208457 loss_vfl: 0.862724 loss_bbox: 0.327959 loss_dfl: 0.199241 loss: 1.389500 eta: 1 day, 9:55:59 batch_cost: 3.2599 data_cost: 0.0024 ips: 39.2656 images/s [10/16 09:30:48] ppdet.engine INFO: Epoch: [146] [ 0/229] learning_rate: 0.208375 loss_vfl: 0.869352 loss_bbox: 0.325334 loss_dfl: 0.199021 loss: 1.402511 eta: 1 day, 9:55:45 batch_cost: 4.0431 data_cost: 0.6944 ips: 31.6593 images/s [10/16 09:32:01] ppdet.engine INFO: Epoch: [146] [ 20/229] learning_rate: 0.208192 loss_vfl: 0.854136 loss_bbox: 0.327136 loss_dfl: 0.197192 loss: 1.398043 eta: 1 day, 9:54:37 batch_cost: 3.5257 data_cost: 0.0025 ips: 36.3052 images/s [10/16 09:33:14] ppdet.engine INFO: Epoch: [146] [ 40/229] learning_rate: 0.208010 loss_vfl: 0.856879 loss_bbox: 0.343303 loss_dfl: 0.201294 loss: 1.402859 eta: 1 day, 9:53:28 batch_cost: 3.4594 data_cost: 0.0026 ips: 37.0008 images/s [10/16 09:34:26] ppdet.engine INFO: Epoch: [146] [ 60/229] learning_rate: 0.207827 loss_vfl: 0.879849 loss_bbox: 0.313648 loss_dfl: 0.194976 loss: 1.393111 eta: 1 day, 9:52:18 batch_cost: 3.4510 data_cost: 0.0025 ips: 37.0912 images/s [10/16 09:35:36] ppdet.engine INFO: Epoch: [146] [ 80/229] learning_rate: 0.207644 loss_vfl: 0.875082 loss_bbox: 0.340060 loss_dfl: 0.206866 loss: 1.420092 eta: 1 day, 9:51:07 batch_cost: 3.3813 data_cost: 0.0026 ips: 37.8551 images/s [10/16 09:36:46] ppdet.engine INFO: Epoch: [146] [100/229] learning_rate: 0.207461 loss_vfl: 0.861302 loss_bbox: 0.337396 loss_dfl: 0.197645 loss: 1.406178 eta: 1 day, 9:49:55 batch_cost: 3.3246 data_cost: 0.0025 ips: 38.5003 images/s [10/16 09:37:57] ppdet.engine INFO: Epoch: [146] [120/229] learning_rate: 0.207278 loss_vfl: 0.872496 loss_bbox: 0.337695 loss_dfl: 0.199900 loss: 1.412504 eta: 1 day, 9:48:45 batch_cost: 3.4131 data_cost: 0.0024 ips: 37.5020 images/s [10/16 09:39:06] ppdet.engine INFO: Epoch: [146] [140/229] learning_rate: 0.207096 loss_vfl: 0.858777 loss_bbox: 0.328932 loss_dfl: 0.200380 loss: 1.385626 eta: 1 day, 9:47:32 batch_cost: 3.3316 data_cost: 0.0024 ips: 38.4197 images/s [10/16 09:40:18] ppdet.engine INFO: Epoch: [146] [160/229] learning_rate: 0.206913 loss_vfl: 0.868145 loss_bbox: 0.340242 loss_dfl: 0.207574 loss: 1.416158 eta: 1 day, 9:46:23 batch_cost: 3.4396 data_cost: 0.0025 ips: 37.2134 images/s [10/16 09:41:29] ppdet.engine INFO: Epoch: [146] [180/229] learning_rate: 0.206730 loss_vfl: 0.868835 loss_bbox: 0.324371 loss_dfl: 0.197713 loss: 1.381756 eta: 1 day, 9:45:12 batch_cost: 3.3956 data_cost: 0.0025 ips: 37.6960 images/s [10/16 09:42:39] ppdet.engine INFO: Epoch: [146] [200/229] learning_rate: 0.206547 loss_vfl: 0.869912 loss_bbox: 0.327425 loss_dfl: 0.200705 loss: 1.405193 eta: 1 day, 9:44:01 batch_cost: 3.3809 data_cost: 0.0024 ips: 37.8597 images/s [10/16 09:43:46] ppdet.engine INFO: Epoch: [146] [220/229] learning_rate: 0.206364 loss_vfl: 0.866984 loss_bbox: 0.338771 loss_dfl: 0.204647 loss: 1.419343 eta: 1 day, 9:42:46 batch_cost: 3.1839 data_cost: 0.0025 ips: 40.2023 images/s [10/16 09:44:40] ppdet.engine INFO: Epoch: [147] [ 0/229] learning_rate: 0.206282 loss_vfl: 0.879957 loss_bbox: 0.339071 loss_dfl: 0.206233 loss: 1.419544 eta: 1 day, 9:42:34 batch_cost: 4.1210 data_cost: 0.6826 ips: 31.0606 images/s [10/16 09:45:54] ppdet.engine INFO: Epoch: [147] [ 20/229] learning_rate: 0.206099 loss_vfl: 0.862799 loss_bbox: 0.340545 loss_dfl: 0.205773 loss: 1.412470 eta: 1 day, 9:41:25 batch_cost: 3.5183 data_cost: 0.0027 ips: 36.3812 images/s [10/16 09:47:06] ppdet.engine INFO: Epoch: [147] [ 40/229] learning_rate: 0.205916 loss_vfl: 0.867881 loss_bbox: 0.318349 loss_dfl: 0.195843 loss: 1.402705 eta: 1 day, 9:40:16 batch_cost: 3.4664 data_cost: 0.0024 ips: 36.9256 images/s [10/16 09:48:19] ppdet.engine INFO: Epoch: [147] [ 60/229] learning_rate: 0.205734 loss_vfl: 0.865251 loss_bbox: 0.334520 loss_dfl: 0.205442 loss: 1.410361 eta: 1 day, 9:39:07 batch_cost: 3.4795 data_cost: 0.0025 ips: 36.7866 images/s [10/16 09:49:28] ppdet.engine INFO: Epoch: [147] [ 80/229] learning_rate: 0.205551 loss_vfl: 0.877553 loss_bbox: 0.330311 loss_dfl: 0.200291 loss: 1.413661 eta: 1 day, 9:37:55 batch_cost: 3.3356 data_cost: 0.0024 ips: 38.3734 images/s [10/16 09:50:38] ppdet.engine INFO: Epoch: [147] [100/229] learning_rate: 0.205368 loss_vfl: 0.872682 loss_bbox: 0.335070 loss_dfl: 0.204256 loss: 1.418113 eta: 1 day, 9:36:44 batch_cost: 3.3567 data_cost: 0.0024 ips: 38.1322 images/s [10/16 09:51:50] ppdet.engine INFO: Epoch: [147] [120/229] learning_rate: 0.205185 loss_vfl: 0.869184 loss_bbox: 0.337434 loss_dfl: 0.199860 loss: 1.407576 eta: 1 day, 9:35:34 batch_cost: 3.4237 data_cost: 0.0024 ips: 37.3864 images/s [10/16 09:52:59] ppdet.engine INFO: Epoch: [147] [140/229] learning_rate: 0.205002 loss_vfl: 0.874747 loss_bbox: 0.334664 loss_dfl: 0.198657 loss: 1.397072 eta: 1 day, 9:34:21 batch_cost: 3.2942 data_cost: 0.0024 ips: 38.8559 images/s [10/16 09:54:08] ppdet.engine INFO: Epoch: [147] [160/229] learning_rate: 0.204819 loss_vfl: 0.878706 loss_bbox: 0.329929 loss_dfl: 0.202501 loss: 1.430502 eta: 1 day, 9:33:09 batch_cost: 3.3094 data_cost: 0.0024 ips: 38.6779 images/s [10/16 09:55:19] ppdet.engine INFO: Epoch: [147] [180/229] learning_rate: 0.204637 loss_vfl: 0.860862 loss_bbox: 0.339947 loss_dfl: 0.203268 loss: 1.404632 eta: 1 day, 9:31:58 batch_cost: 3.3976 data_cost: 0.0026 ips: 37.6737 images/s [10/16 09:56:29] ppdet.engine INFO: Epoch: [147] [200/229] learning_rate: 0.204454 loss_vfl: 0.870782 loss_bbox: 0.337708 loss_dfl: 0.202266 loss: 1.407279 eta: 1 day, 9:30:47 batch_cost: 3.3711 data_cost: 0.0025 ips: 37.9693 images/s [10/16 09:57:37] ppdet.engine INFO: Epoch: [147] [220/229] learning_rate: 0.204271 loss_vfl: 0.883432 loss_bbox: 0.348017 loss_dfl: 0.212616 loss: 1.418576 eta: 1 day, 9:29:33 batch_cost: 3.2270 data_cost: 0.0024 ips: 39.6659 images/s [10/16 09:58:28] ppdet.engine INFO: Epoch: [148] [ 0/229] learning_rate: 0.204188 loss_vfl: 0.878297 loss_bbox: 0.343676 loss_dfl: 0.210084 loss: 1.417349 eta: 1 day, 9:29:18 batch_cost: 4.0308 data_cost: 0.6006 ips: 31.7552 images/s [10/16 09:59:40] ppdet.engine INFO: Epoch: [148] [ 20/229] learning_rate: 0.204006 loss_vfl: 0.858376 loss_bbox: 0.342696 loss_dfl: 0.205366 loss: 1.409248 eta: 1 day, 9:28:08 batch_cost: 3.4173 data_cost: 0.0025 ips: 37.4562 images/s [10/16 10:00:53] ppdet.engine INFO: Epoch: [148] [ 40/229] learning_rate: 0.203823 loss_vfl: 0.857685 loss_bbox: 0.332297 loss_dfl: 0.200500 loss: 1.385305 eta: 1 day, 9:26:59 batch_cost: 3.4992 data_cost: 0.0032 ips: 36.5803 images/s [10/16 10:02:06] ppdet.engine INFO: Epoch: [148] [ 60/229] learning_rate: 0.203640 loss_vfl: 0.868842 loss_bbox: 0.329012 loss_dfl: 0.202851 loss: 1.409019 eta: 1 day, 9:25:50 batch_cost: 3.4785 data_cost: 0.0029 ips: 36.7976 images/s [10/16 10:03:18] ppdet.engine INFO: Epoch: [148] [ 80/229] learning_rate: 0.203457 loss_vfl: 0.881072 loss_bbox: 0.328758 loss_dfl: 0.203131 loss: 1.406231 eta: 1 day, 9:24:40 batch_cost: 3.4342 data_cost: 0.0024 ips: 37.2721 images/s [10/16 10:04:31] ppdet.engine INFO: Epoch: [148] [100/229] learning_rate: 0.203274 loss_vfl: 0.869237 loss_bbox: 0.328150 loss_dfl: 0.200187 loss: 1.400486 eta: 1 day, 9:23:32 batch_cost: 3.5316 data_cost: 0.0024 ips: 36.2444 images/s [10/16 10:05:42] ppdet.engine INFO: Epoch: [148] [120/229] learning_rate: 0.203091 loss_vfl: 0.860924 loss_bbox: 0.341322 loss_dfl: 0.201287 loss: 1.402270 eta: 1 day, 9:22:22 batch_cost: 3.4057 data_cost: 0.0026 ips: 37.5837 images/s [10/16 10:06:54] ppdet.engine INFO: Epoch: [148] [140/229] learning_rate: 0.202908 loss_vfl: 0.871149 loss_bbox: 0.332232 loss_dfl: 0.203506 loss: 1.414341 eta: 1 day, 9:21:12 batch_cost: 3.4200 data_cost: 0.0025 ips: 37.4268 images/s [10/16 10:08:05] ppdet.engine INFO: Epoch: [148] [160/229] learning_rate: 0.202725 loss_vfl: 0.884250 loss_bbox: 0.334623 loss_dfl: 0.200265 loss: 1.401893 eta: 1 day, 9:20:02 batch_cost: 3.4447 data_cost: 0.0024 ips: 37.1589 images/s [10/16 10:09:17] ppdet.engine INFO: Epoch: [148] [180/229] learning_rate: 0.202542 loss_vfl: 0.884518 loss_bbox: 0.336178 loss_dfl: 0.202333 loss: 1.421492 eta: 1 day, 9:18:52 batch_cost: 3.4074 data_cost: 0.0024 ips: 37.5652 images/s [10/16 10:10:27] ppdet.engine INFO: Epoch: [148] [200/229] learning_rate: 0.202360 loss_vfl: 0.866207 loss_bbox: 0.341262 loss_dfl: 0.202147 loss: 1.391391 eta: 1 day, 9:17:40 batch_cost: 3.3514 data_cost: 0.0025 ips: 38.1932 images/s [10/16 10:11:34] ppdet.engine INFO: Epoch: [148] [220/229] learning_rate: 0.202177 loss_vfl: 0.876673 loss_bbox: 0.334602 loss_dfl: 0.203893 loss: 1.417753 eta: 1 day, 9:16:26 batch_cost: 3.2092 data_cost: 0.0025 ips: 39.8857 images/s [10/16 10:12:26] ppdet.engine INFO: Epoch: [149] [ 0/229] learning_rate: 0.202094 loss_vfl: 0.865301 loss_bbox: 0.340089 loss_dfl: 0.206650 loss: 1.411701 eta: 1 day, 9:16:11 batch_cost: 4.0548 data_cost: 0.3694 ips: 31.5677 images/s [10/16 10:13:40] ppdet.engine INFO: Epoch: [149] [ 20/229] learning_rate: 0.201911 loss_vfl: 0.861784 loss_bbox: 0.347158 loss_dfl: 0.208988 loss: 1.411018 eta: 1 day, 9:15:03 batch_cost: 3.5458 data_cost: 0.0028 ips: 36.0995 images/s [10/16 10:14:52] ppdet.engine INFO: Epoch: [149] [ 40/229] learning_rate: 0.201729 loss_vfl: 0.850397 loss_bbox: 0.312470 loss_dfl: 0.197575 loss: 1.393996 eta: 1 day, 9:13:54 batch_cost: 3.4647 data_cost: 0.0025 ips: 36.9445 images/s [10/16 10:16:06] ppdet.engine INFO: Epoch: [149] [ 60/229] learning_rate: 0.201546 loss_vfl: 0.880128 loss_bbox: 0.326354 loss_dfl: 0.201574 loss: 1.404719 eta: 1 day, 9:12:46 batch_cost: 3.5365 data_cost: 0.0025 ips: 36.1936 images/s [10/16 10:17:17] ppdet.engine INFO: Epoch: [149] [ 80/229] learning_rate: 0.201363 loss_vfl: 0.885826 loss_bbox: 0.337028 loss_dfl: 0.210048 loss: 1.418151 eta: 1 day, 9:11:36 batch_cost: 3.4284 data_cost: 0.0025 ips: 37.3352 images/s [10/16 10:18:29] ppdet.engine INFO: Epoch: [149] [100/229] learning_rate: 0.201180 loss_vfl: 0.873419 loss_bbox: 0.337009 loss_dfl: 0.206587 loss: 1.415713 eta: 1 day, 9:10:26 batch_cost: 3.4208 data_cost: 0.0026 ips: 37.4186 images/s [10/16 10:19:38] ppdet.engine INFO: Epoch: [149] [120/229] learning_rate: 0.200997 loss_vfl: 0.860742 loss_bbox: 0.351410 loss_dfl: 0.212730 loss: 1.419832 eta: 1 day, 9:09:14 batch_cost: 3.3247 data_cost: 0.0024 ips: 38.4997 images/s [10/16 10:20:48] ppdet.engine INFO: Epoch: [149] [140/229] learning_rate: 0.200814 loss_vfl: 0.865598 loss_bbox: 0.336091 loss_dfl: 0.209226 loss: 1.407182 eta: 1 day, 9:08:02 batch_cost: 3.3459 data_cost: 0.0024 ips: 38.2561 images/s [10/16 10:22:00] ppdet.engine INFO: Epoch: [149] [160/229] learning_rate: 0.200631 loss_vfl: 0.866798 loss_bbox: 0.334921 loss_dfl: 0.203333 loss: 1.398957 eta: 1 day, 9:06:52 batch_cost: 3.4303 data_cost: 0.0026 ips: 37.3144 images/s [10/16 10:23:11] ppdet.engine INFO: Epoch: [149] [180/229] learning_rate: 0.200448 loss_vfl: 0.859879 loss_bbox: 0.340348 loss_dfl: 0.202737 loss: 1.405784 eta: 1 day, 9:05:42 batch_cost: 3.4138 data_cost: 0.0032 ips: 37.4950 images/s [10/16 10:24:21] ppdet.engine INFO: Epoch: [149] [200/229] learning_rate: 0.200265 loss_vfl: 0.879025 loss_bbox: 0.327627 loss_dfl: 0.206016 loss: 1.423061 eta: 1 day, 9:04:31 batch_cost: 3.3751 data_cost: 0.0025 ips: 37.9248 images/s [10/16 10:25:29] ppdet.engine INFO: Epoch: [149] [220/229] learning_rate: 0.200082 loss_vfl: 0.872134 loss_bbox: 0.337207 loss_dfl: 0.199186 loss: 1.417011 eta: 1 day, 9:03:17 batch_cost: 3.2544 data_cost: 0.0025 ips: 39.3311 images/s [10/16 10:25:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 10:25:58] ppdet.engine INFO: Eval iter: 0 [10/16 10:26:38] ppdet.engine INFO: Eval iter: 100 [10/16 10:27:01] ppdet.engine INFO: Eval iter: 200 [10/16 10:27:25] ppdet.engine INFO: Eval iter: 300 [10/16 10:27:47] ppdet.engine INFO: Eval iter: 400 [10/16 10:28:10] ppdet.engine INFO: Eval iter: 500 [10/16 10:28:33] ppdet.engine INFO: Eval iter: 600 [10/16 10:28:53] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.64s) creating index... index created! [10/16 10:28:54] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.89s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=97.46s). Accumulating evaluation results... DONE (t=16.92s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.262 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.399 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.276 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.079 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.263 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.451 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.249 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 ] = 0.131 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.453 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.680 [10/16 10:30:55] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.815407284571368 [10/16 10:30:55] ppdet.engine INFO: Best test bbox ap is 0.262. [10/16 10:30:55] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 10:30:58] ppdet.engine INFO: Epoch: [150] [ 0/229] learning_rate: 0.200000 loss_vfl: 0.868682 loss_bbox: 0.332650 loss_dfl: 0.196259 loss: 1.402204 eta: 1 day, 9:02:41 batch_cost: 2.9831 data_cost: 0.0024 ips: 42.9077 images/s [10/16 10:32:13] ppdet.engine INFO: Epoch: [150] [ 20/229] learning_rate: 0.199817 loss_vfl: 0.858612 loss_bbox: 0.331286 loss_dfl: 0.198651 loss: 1.381937 eta: 1 day, 9:01:34 batch_cost: 3.5771 data_cost: 0.0028 ips: 35.7837 images/s [10/16 10:33:25] ppdet.engine INFO: Epoch: [150] [ 40/229] learning_rate: 0.199634 loss_vfl: 0.874238 loss_bbox: 0.331863 loss_dfl: 0.202769 loss: 1.408207 eta: 1 day, 9:00:24 batch_cost: 3.4268 data_cost: 0.0028 ips: 37.3528 images/s [10/16 10:34:36] ppdet.engine INFO: Epoch: [150] [ 60/229] learning_rate: 0.199451 loss_vfl: 0.858426 loss_bbox: 0.320959 loss_dfl: 0.198615 loss: 1.381290 eta: 1 day, 8:59:14 batch_cost: 3.4312 data_cost: 0.0025 ips: 37.3045 images/s [10/16 10:35:48] ppdet.engine INFO: Epoch: [150] [ 80/229] learning_rate: 0.199268 loss_vfl: 0.880013 loss_bbox: 0.344497 loss_dfl: 0.210466 loss: 1.405985 eta: 1 day, 8:58:04 batch_cost: 3.4209 data_cost: 0.0026 ips: 37.4175 images/s [10/16 10:36:59] ppdet.engine INFO: Epoch: [150] [100/229] learning_rate: 0.199085 loss_vfl: 0.872985 loss_bbox: 0.327804 loss_dfl: 0.202683 loss: 1.406958 eta: 1 day, 8:56:54 batch_cost: 3.4115 data_cost: 0.0024 ips: 37.5196 images/s [10/16 10:38:10] ppdet.engine INFO: Epoch: [150] [120/229] learning_rate: 0.198903 loss_vfl: 0.861424 loss_bbox: 0.337806 loss_dfl: 0.201299 loss: 1.418692 eta: 1 day, 8:55:43 batch_cost: 3.4158 data_cost: 0.0026 ips: 37.4730 images/s [10/16 10:39:21] ppdet.engine INFO: Epoch: [150] [140/229] learning_rate: 0.198720 loss_vfl: 0.878457 loss_bbox: 0.334577 loss_dfl: 0.201131 loss: 1.418748 eta: 1 day, 8:54:33 batch_cost: 3.4065 data_cost: 0.0026 ips: 37.5755 images/s [10/16 10:40:31] ppdet.engine INFO: Epoch: [150] [160/229] learning_rate: 0.198537 loss_vfl: 0.877811 loss_bbox: 0.344314 loss_dfl: 0.203760 loss: 1.415510 eta: 1 day, 8:53:21 batch_cost: 3.3327 data_cost: 0.0025 ips: 38.4075 images/s [10/16 10:41:42] ppdet.engine INFO: Epoch: [150] [180/229] learning_rate: 0.198354 loss_vfl: 0.874297 loss_bbox: 0.329699 loss_dfl: 0.202677 loss: 1.409885 eta: 1 day, 8:52:10 batch_cost: 3.3808 data_cost: 0.0024 ips: 37.8611 images/s [10/16 10:42:53] ppdet.engine INFO: Epoch: [150] [200/229] learning_rate: 0.198171 loss_vfl: 0.884696 loss_bbox: 0.315499 loss_dfl: 0.200757 loss: 1.409432 eta: 1 day, 8:51:00 batch_cost: 3.4115 data_cost: 0.0030 ips: 37.5204 images/s [10/16 10:44:00] ppdet.engine INFO: Epoch: [150] [220/229] learning_rate: 0.197988 loss_vfl: 0.868244 loss_bbox: 0.332901 loss_dfl: 0.205395 loss: 1.407667 eta: 1 day, 8:49:46 batch_cost: 3.2126 data_cost: 0.0031 ips: 39.8433 images/s [10/16 10:44:55] ppdet.engine INFO: Epoch: [151] [ 0/229] learning_rate: 0.197906 loss_vfl: 0.860367 loss_bbox: 0.336045 loss_dfl: 0.205999 loss: 1.400111 eta: 1 day, 8:49:34 batch_cost: 4.2020 data_cost: 0.7708 ips: 30.4616 images/s [10/16 10:46:05] ppdet.engine INFO: Epoch: [151] [ 20/229] learning_rate: 0.197723 loss_vfl: 0.854560 loss_bbox: 0.329890 loss_dfl: 0.199387 loss: 1.379629 eta: 1 day, 8:48:22 batch_cost: 3.3511 data_cost: 0.0026 ips: 38.1968 images/s [10/16 10:47:17] ppdet.engine INFO: Epoch: [151] [ 40/229] learning_rate: 0.197540 loss_vfl: 0.853441 loss_bbox: 0.328244 loss_dfl: 0.197081 loss: 1.380980 eta: 1 day, 8:47:13 batch_cost: 3.4712 data_cost: 0.0031 ips: 36.8752 images/s [10/16 10:48:29] ppdet.engine INFO: Epoch: [151] [ 60/229] learning_rate: 0.197357 loss_vfl: 0.866473 loss_bbox: 0.334672 loss_dfl: 0.201459 loss: 1.410833 eta: 1 day, 8:46:03 batch_cost: 3.4218 data_cost: 0.0025 ips: 37.4069 images/s [10/16 10:49:38] ppdet.engine INFO: Epoch: [151] [ 80/229] learning_rate: 0.197174 loss_vfl: 0.862230 loss_bbox: 0.333736 loss_dfl: 0.196977 loss: 1.401412 eta: 1 day, 8:44:51 batch_cost: 3.3256 data_cost: 0.0024 ips: 38.4897 images/s [10/16 10:50:49] ppdet.engine INFO: Epoch: [151] [100/229] learning_rate: 0.196991 loss_vfl: 0.870448 loss_bbox: 0.330390 loss_dfl: 0.199580 loss: 1.401872 eta: 1 day, 8:43:40 batch_cost: 3.3751 data_cost: 0.0024 ips: 37.9248 images/s [10/16 10:52:00] ppdet.engine INFO: Epoch: [151] [120/229] learning_rate: 0.196808 loss_vfl: 0.875289 loss_bbox: 0.327981 loss_dfl: 0.199048 loss: 1.373911 eta: 1 day, 8:42:30 batch_cost: 3.4016 data_cost: 0.0024 ips: 37.6296 images/s [10/16 10:53:11] ppdet.engine INFO: Epoch: [151] [140/229] learning_rate: 0.196625 loss_vfl: 0.873390 loss_bbox: 0.331459 loss_dfl: 0.206184 loss: 1.400043 eta: 1 day, 8:41:19 batch_cost: 3.4031 data_cost: 0.0025 ips: 37.6130 images/s [10/16 10:54:24] ppdet.engine INFO: Epoch: [151] [160/229] learning_rate: 0.196442 loss_vfl: 0.862084 loss_bbox: 0.325888 loss_dfl: 0.197530 loss: 1.386937 eta: 1 day, 8:40:11 batch_cost: 3.4933 data_cost: 0.0025 ips: 36.6412 images/s [10/16 10:55:35] ppdet.engine INFO: Epoch: [151] [180/229] learning_rate: 0.196260 loss_vfl: 0.871626 loss_bbox: 0.343779 loss_dfl: 0.203560 loss: 1.426462 eta: 1 day, 8:39:00 batch_cost: 3.4016 data_cost: 0.0025 ips: 37.6291 images/s [10/16 10:56:43] ppdet.engine INFO: Epoch: [151] [200/229] learning_rate: 0.196077 loss_vfl: 0.878609 loss_bbox: 0.337677 loss_dfl: 0.199667 loss: 1.403512 eta: 1 day, 8:37:48 batch_cost: 3.2927 data_cost: 0.0025 ips: 38.8735 images/s [10/16 10:57:51] ppdet.engine INFO: Epoch: [151] [220/229] learning_rate: 0.195894 loss_vfl: 0.861372 loss_bbox: 0.339002 loss_dfl: 0.202488 loss: 1.401894 eta: 1 day, 8:36:34 batch_cost: 3.2179 data_cost: 0.0030 ips: 39.7772 images/s [10/16 10:58:46] ppdet.engine INFO: Epoch: [152] [ 0/229] learning_rate: 0.195812 loss_vfl: 0.884485 loss_bbox: 0.351375 loss_dfl: 0.212236 loss: 1.440416 eta: 1 day, 8:36:21 batch_cost: 4.2845 data_cost: 0.6533 ips: 29.8750 images/s [10/16 11:00:01] ppdet.engine INFO: Epoch: [152] [ 20/229] learning_rate: 0.195629 loss_vfl: 0.861457 loss_bbox: 0.327104 loss_dfl: 0.205097 loss: 1.393292 eta: 1 day, 8:35:14 batch_cost: 3.5649 data_cost: 0.0026 ips: 35.9052 images/s [10/16 11:01:13] ppdet.engine INFO: Epoch: [152] [ 40/229] learning_rate: 0.195446 loss_vfl: 0.858968 loss_bbox: 0.336613 loss_dfl: 0.202274 loss: 1.399666 eta: 1 day, 8:34:05 batch_cost: 3.4513 data_cost: 0.0026 ips: 37.0873 images/s [10/16 11:02:24] ppdet.engine INFO: Epoch: [152] [ 60/229] learning_rate: 0.195263 loss_vfl: 0.863785 loss_bbox: 0.320375 loss_dfl: 0.194552 loss: 1.398576 eta: 1 day, 8:32:55 batch_cost: 3.4217 data_cost: 0.0026 ips: 37.4079 images/s [10/16 11:03:37] ppdet.engine INFO: Epoch: [152] [ 80/229] learning_rate: 0.195080 loss_vfl: 0.872950 loss_bbox: 0.332902 loss_dfl: 0.200150 loss: 1.388474 eta: 1 day, 8:31:45 batch_cost: 3.4677 data_cost: 0.0025 ips: 36.9121 images/s [10/16 11:04:49] ppdet.engine INFO: Epoch: [152] [100/229] learning_rate: 0.194897 loss_vfl: 0.866313 loss_bbox: 0.322956 loss_dfl: 0.198350 loss: 1.385093 eta: 1 day, 8:30:37 batch_cost: 3.4869 data_cost: 0.0032 ips: 36.7090 images/s [10/16 11:05:59] ppdet.engine INFO: Epoch: [152] [120/229] learning_rate: 0.194714 loss_vfl: 0.879114 loss_bbox: 0.325821 loss_dfl: 0.199222 loss: 1.398345 eta: 1 day, 8:29:25 batch_cost: 3.3603 data_cost: 0.0025 ips: 38.0914 images/s [10/16 11:07:09] ppdet.engine INFO: Epoch: [152] [140/229] learning_rate: 0.194531 loss_vfl: 0.846881 loss_bbox: 0.337136 loss_dfl: 0.203278 loss: 1.399670 eta: 1 day, 8:28:14 batch_cost: 3.3374 data_cost: 0.0036 ips: 38.3536 images/s [10/16 11:08:20] ppdet.engine INFO: Epoch: [152] [160/229] learning_rate: 0.194349 loss_vfl: 0.867044 loss_bbox: 0.337718 loss_dfl: 0.202872 loss: 1.399839 eta: 1 day, 8:27:03 batch_cost: 3.4001 data_cost: 0.0026 ips: 37.6459 images/s [10/16 11:09:31] ppdet.engine INFO: Epoch: [152] [180/229] learning_rate: 0.194166 loss_vfl: 0.872271 loss_bbox: 0.326637 loss_dfl: 0.201194 loss: 1.398086 eta: 1 day, 8:25:53 batch_cost: 3.4210 data_cost: 0.0027 ips: 37.4155 images/s [10/16 11:10:42] ppdet.engine INFO: Epoch: [152] [200/229] learning_rate: 0.193983 loss_vfl: 0.869094 loss_bbox: 0.325577 loss_dfl: 0.198708 loss: 1.397015 eta: 1 day, 8:24:43 batch_cost: 3.4007 data_cost: 0.0024 ips: 37.6391 images/s [10/16 11:11:51] ppdet.engine INFO: Epoch: [152] [220/229] learning_rate: 0.193800 loss_vfl: 0.866409 loss_bbox: 0.327780 loss_dfl: 0.198985 loss: 1.398065 eta: 1 day, 8:23:30 batch_cost: 3.2858 data_cost: 0.0024 ips: 38.9559 images/s [10/16 11:12:43] ppdet.engine INFO: Epoch: [153] [ 0/229] learning_rate: 0.193718 loss_vfl: 0.879863 loss_bbox: 0.323438 loss_dfl: 0.200811 loss: 1.403009 eta: 1 day, 8:23:14 batch_cost: 4.0971 data_cost: 0.4019 ips: 31.2412 images/s [10/16 11:13:58] ppdet.engine INFO: Epoch: [153] [ 20/229] learning_rate: 0.193535 loss_vfl: 0.846042 loss_bbox: 0.334137 loss_dfl: 0.203296 loss: 1.379229 eta: 1 day, 8:22:07 batch_cost: 3.6113 data_cost: 0.0033 ips: 35.4441 images/s [10/16 11:15:14] ppdet.engine INFO: Epoch: [153] [ 40/229] learning_rate: 0.193352 loss_vfl: 0.879451 loss_bbox: 0.330846 loss_dfl: 0.203123 loss: 1.411559 eta: 1 day, 8:21:01 batch_cost: 3.5923 data_cost: 0.0037 ips: 35.6316 images/s [10/16 11:16:27] ppdet.engine INFO: Epoch: [153] [ 60/229] learning_rate: 0.193169 loss_vfl: 0.842997 loss_bbox: 0.339350 loss_dfl: 0.205147 loss: 1.380616 eta: 1 day, 8:19:52 batch_cost: 3.5047 data_cost: 0.0030 ips: 36.5227 images/s [10/16 11:17:38] ppdet.engine INFO: Epoch: [153] [ 80/229] learning_rate: 0.192987 loss_vfl: 0.877005 loss_bbox: 0.333661 loss_dfl: 0.201142 loss: 1.406713 eta: 1 day, 8:18:42 batch_cost: 3.4327 data_cost: 0.0026 ips: 37.2881 images/s [10/16 11:18:49] ppdet.engine INFO: Epoch: [153] [100/229] learning_rate: 0.192804 loss_vfl: 0.868237 loss_bbox: 0.333430 loss_dfl: 0.202727 loss: 1.392708 eta: 1 day, 8:17:32 batch_cost: 3.4009 data_cost: 0.0025 ips: 37.6371 images/s [10/16 11:20:00] ppdet.engine INFO: Epoch: [153] [120/229] learning_rate: 0.192621 loss_vfl: 0.863901 loss_bbox: 0.326062 loss_dfl: 0.201836 loss: 1.411456 eta: 1 day, 8:16:21 batch_cost: 3.3990 data_cost: 0.0025 ips: 37.6586 images/s [10/16 11:21:12] ppdet.engine INFO: Epoch: [153] [140/229] learning_rate: 0.192438 loss_vfl: 0.881358 loss_bbox: 0.330712 loss_dfl: 0.205452 loss: 1.410510 eta: 1 day, 8:15:12 batch_cost: 3.4644 data_cost: 0.0025 ips: 36.9475 images/s [10/16 11:22:22] ppdet.engine INFO: Epoch: [153] [160/229] learning_rate: 0.192255 loss_vfl: 0.868575 loss_bbox: 0.332390 loss_dfl: 0.200950 loss: 1.401461 eta: 1 day, 8:14:00 batch_cost: 3.3245 data_cost: 0.0025 ips: 38.5018 images/s [10/16 11:23:33] ppdet.engine INFO: Epoch: [153] [180/229] learning_rate: 0.192073 loss_vfl: 0.868976 loss_bbox: 0.329186 loss_dfl: 0.197400 loss: 1.395256 eta: 1 day, 8:12:50 batch_cost: 3.4187 data_cost: 0.0026 ips: 37.4414 images/s [10/16 11:24:45] ppdet.engine INFO: Epoch: [153] [200/229] learning_rate: 0.191890 loss_vfl: 0.871929 loss_bbox: 0.325818 loss_dfl: 0.195966 loss: 1.387668 eta: 1 day, 8:11:40 batch_cost: 3.4217 data_cost: 0.0025 ips: 37.4079 images/s [10/16 11:25:53] ppdet.engine INFO: Epoch: [153] [220/229] learning_rate: 0.191707 loss_vfl: 0.875427 loss_bbox: 0.344121 loss_dfl: 0.206575 loss: 1.422510 eta: 1 day, 8:10:27 batch_cost: 3.2741 data_cost: 0.0023 ips: 39.0949 images/s [10/16 11:26:47] ppdet.engine INFO: Epoch: [154] [ 0/229] learning_rate: 0.191625 loss_vfl: 0.877496 loss_bbox: 0.348684 loss_dfl: 0.211106 loss: 1.428486 eta: 1 day, 8:10:13 batch_cost: 4.1697 data_cost: 0.6545 ips: 30.6974 images/s [10/16 11:27:58] ppdet.engine INFO: Epoch: [154] [ 20/229] learning_rate: 0.191442 loss_vfl: 0.874305 loss_bbox: 0.320543 loss_dfl: 0.195858 loss: 1.397615 eta: 1 day, 8:09:02 batch_cost: 3.4109 data_cost: 0.0024 ips: 37.5265 images/s [10/16 11:29:10] ppdet.engine INFO: Epoch: [154] [ 40/229] learning_rate: 0.191259 loss_vfl: 0.872441 loss_bbox: 0.324822 loss_dfl: 0.201032 loss: 1.402636 eta: 1 day, 8:07:53 batch_cost: 3.4672 data_cost: 0.0025 ips: 36.9173 images/s [10/16 11:30:23] ppdet.engine INFO: Epoch: [154] [ 60/229] learning_rate: 0.191077 loss_vfl: 0.862543 loss_bbox: 0.346196 loss_dfl: 0.209575 loss: 1.413768 eta: 1 day, 8:06:44 batch_cost: 3.4858 data_cost: 0.0024 ips: 36.7209 images/s [10/16 11:31:33] ppdet.engine INFO: Epoch: [154] [ 80/229] learning_rate: 0.190894 loss_vfl: 0.876805 loss_bbox: 0.318002 loss_dfl: 0.197844 loss: 1.393978 eta: 1 day, 8:05:33 batch_cost: 3.3422 data_cost: 0.0023 ips: 38.2981 images/s [10/16 11:32:45] ppdet.engine INFO: Epoch: [154] [100/229] learning_rate: 0.190711 loss_vfl: 0.864523 loss_bbox: 0.331566 loss_dfl: 0.203322 loss: 1.390539 eta: 1 day, 8:04:23 batch_cost: 3.4606 data_cost: 0.0024 ips: 36.9877 images/s [10/16 11:33:56] ppdet.engine INFO: Epoch: [154] [120/229] learning_rate: 0.190528 loss_vfl: 0.871069 loss_bbox: 0.337639 loss_dfl: 0.206214 loss: 1.400375 eta: 1 day, 8:03:13 batch_cost: 3.4083 data_cost: 0.0023 ips: 37.5553 images/s [10/16 11:35:08] ppdet.engine INFO: Epoch: [154] [140/229] learning_rate: 0.190346 loss_vfl: 0.854585 loss_bbox: 0.325043 loss_dfl: 0.193032 loss: 1.370203 eta: 1 day, 8:02:04 batch_cost: 3.4719 data_cost: 0.0024 ips: 36.8678 images/s [10/16 11:36:18] ppdet.engine INFO: Epoch: [154] [160/229] learning_rate: 0.190163 loss_vfl: 0.859618 loss_bbox: 0.310195 loss_dfl: 0.196945 loss: 1.376045 eta: 1 day, 8:00:52 batch_cost: 3.3239 data_cost: 0.0024 ips: 38.5092 images/s [10/16 11:37:29] ppdet.engine INFO: Epoch: [154] [180/229] learning_rate: 0.189980 loss_vfl: 0.877246 loss_bbox: 0.331735 loss_dfl: 0.201642 loss: 1.394808 eta: 1 day, 7:59:42 batch_cost: 3.4385 data_cost: 0.0024 ips: 37.2259 images/s [10/16 11:38:41] ppdet.engine INFO: Epoch: [154] [200/229] learning_rate: 0.189798 loss_vfl: 0.875181 loss_bbox: 0.333918 loss_dfl: 0.197363 loss: 1.393594 eta: 1 day, 7:58:33 batch_cost: 3.4560 data_cost: 0.0024 ips: 37.0367 images/s [10/16 11:39:51] ppdet.engine INFO: Epoch: [154] [220/229] learning_rate: 0.189615 loss_vfl: 0.856628 loss_bbox: 0.329573 loss_dfl: 0.197852 loss: 1.391428 eta: 1 day, 7:57:21 batch_cost: 3.3164 data_cost: 0.0023 ips: 38.5962 images/s [10/16 11:40:45] ppdet.engine INFO: Epoch: [155] [ 0/229] learning_rate: 0.189533 loss_vfl: 0.862934 loss_bbox: 0.344885 loss_dfl: 0.199273 loss: 1.396724 eta: 1 day, 7:57:07 batch_cost: 4.2237 data_cost: 0.4701 ips: 30.3051 images/s [10/16 11:41:58] ppdet.engine INFO: Epoch: [155] [ 20/229] learning_rate: 0.189350 loss_vfl: 0.865588 loss_bbox: 0.337194 loss_dfl: 0.201143 loss: 1.396503 eta: 1 day, 7:55:58 batch_cost: 3.4718 data_cost: 0.0044 ips: 36.8690 images/s [10/16 11:43:12] ppdet.engine INFO: Epoch: [155] [ 40/229] learning_rate: 0.189167 loss_vfl: 0.856328 loss_bbox: 0.319577 loss_dfl: 0.198260 loss: 1.380846 eta: 1 day, 7:54:50 batch_cost: 3.5394 data_cost: 0.0031 ips: 36.1639 images/s [10/16 11:44:24] ppdet.engine INFO: Epoch: [155] [ 60/229] learning_rate: 0.188985 loss_vfl: 0.870016 loss_bbox: 0.325028 loss_dfl: 0.199028 loss: 1.400385 eta: 1 day, 7:53:40 batch_cost: 3.4346 data_cost: 0.0029 ips: 37.2675 images/s [10/16 11:45:35] ppdet.engine INFO: Epoch: [155] [ 80/229] learning_rate: 0.188802 loss_vfl: 0.866232 loss_bbox: 0.328476 loss_dfl: 0.198159 loss: 1.387562 eta: 1 day, 7:52:30 batch_cost: 3.4139 data_cost: 0.0035 ips: 37.4939 images/s [10/16 11:46:46] ppdet.engine INFO: Epoch: [155] [100/229] learning_rate: 0.188620 loss_vfl: 0.857984 loss_bbox: 0.324900 loss_dfl: 0.196492 loss: 1.381487 eta: 1 day, 7:51:19 batch_cost: 3.3933 data_cost: 0.0028 ips: 37.7219 images/s [10/16 11:47:55] ppdet.engine INFO: Epoch: [155] [120/229] learning_rate: 0.188437 loss_vfl: 0.863924 loss_bbox: 0.334649 loss_dfl: 0.195897 loss: 1.394943 eta: 1 day, 7:50:07 batch_cost: 3.3223 data_cost: 0.0026 ips: 38.5272 images/s [10/16 11:49:07] ppdet.engine INFO: Epoch: [155] [140/229] learning_rate: 0.188254 loss_vfl: 0.862301 loss_bbox: 0.340839 loss_dfl: 0.205425 loss: 1.416319 eta: 1 day, 7:48:58 batch_cost: 3.4407 data_cost: 0.0028 ips: 37.2017 images/s [10/16 11:50:19] ppdet.engine INFO: Epoch: [155] [160/229] learning_rate: 0.188072 loss_vfl: 0.861614 loss_bbox: 0.334457 loss_dfl: 0.203332 loss: 1.393682 eta: 1 day, 7:47:49 batch_cost: 3.4765 data_cost: 0.0025 ips: 36.8191 images/s [10/16 11:51:30] ppdet.engine INFO: Epoch: [155] [180/229] learning_rate: 0.187889 loss_vfl: 0.876545 loss_bbox: 0.338859 loss_dfl: 0.210727 loss: 1.415053 eta: 1 day, 7:46:38 batch_cost: 3.3940 data_cost: 0.0027 ips: 37.7136 images/s [10/16 11:52:41] ppdet.engine INFO: Epoch: [155] [200/229] learning_rate: 0.187707 loss_vfl: 0.852879 loss_bbox: 0.312821 loss_dfl: 0.194052 loss: 1.366491 eta: 1 day, 7:45:27 batch_cost: 3.3844 data_cost: 0.0026 ips: 37.8209 images/s [10/16 11:53:49] ppdet.engine INFO: Epoch: [155] [220/229] learning_rate: 0.187524 loss_vfl: 0.876876 loss_bbox: 0.333614 loss_dfl: 0.201791 loss: 1.407706 eta: 1 day, 7:44:14 batch_cost: 3.2441 data_cost: 0.0025 ips: 39.4568 images/s [10/16 11:54:43] ppdet.engine INFO: Epoch: [156] [ 0/229] learning_rate: 0.187442 loss_vfl: 0.866948 loss_bbox: 0.334366 loss_dfl: 0.203779 loss: 1.404331 eta: 1 day, 7:44:00 batch_cost: 4.1710 data_cost: 0.5866 ips: 30.6878 images/s [10/16 11:55:56] ppdet.engine INFO: Epoch: [156] [ 20/229] learning_rate: 0.187259 loss_vfl: 0.858437 loss_bbox: 0.344350 loss_dfl: 0.204262 loss: 1.404702 eta: 1 day, 7:42:51 batch_cost: 3.4964 data_cost: 0.0025 ips: 36.6086 images/s [10/16 11:57:06] ppdet.engine INFO: Epoch: [156] [ 40/229] learning_rate: 0.187077 loss_vfl: 0.863945 loss_bbox: 0.319137 loss_dfl: 0.195672 loss: 1.380857 eta: 1 day, 7:41:40 batch_cost: 3.3817 data_cost: 0.0025 ips: 37.8505 images/s [10/16 11:58:18] ppdet.engine INFO: Epoch: [156] [ 60/229] learning_rate: 0.186894 loss_vfl: 0.858596 loss_bbox: 0.331977 loss_dfl: 0.200660 loss: 1.391153 eta: 1 day, 7:40:30 batch_cost: 3.4380 data_cost: 0.0024 ips: 37.2307 images/s [10/16 11:59:30] ppdet.engine INFO: Epoch: [156] [ 80/229] learning_rate: 0.186712 loss_vfl: 0.857619 loss_bbox: 0.325855 loss_dfl: 0.201955 loss: 1.396725 eta: 1 day, 7:39:20 batch_cost: 3.4282 data_cost: 0.0024 ips: 37.3379 images/s [10/16 12:00:39] ppdet.engine INFO: Epoch: [156] [100/229] learning_rate: 0.186529 loss_vfl: 0.872799 loss_bbox: 0.340627 loss_dfl: 0.207930 loss: 1.427723 eta: 1 day, 7:38:09 batch_cost: 3.3264 data_cost: 0.0024 ips: 38.4803 images/s [10/16 12:01:49] ppdet.engine INFO: Epoch: [156] [120/229] learning_rate: 0.186347 loss_vfl: 0.858796 loss_bbox: 0.343978 loss_dfl: 0.200318 loss: 1.393949 eta: 1 day, 7:36:58 batch_cost: 3.3681 data_cost: 0.0024 ips: 38.0042 images/s [10/16 12:02:59] ppdet.engine INFO: Epoch: [156] [140/229] learning_rate: 0.186164 loss_vfl: 0.860788 loss_bbox: 0.324813 loss_dfl: 0.197713 loss: 1.391017 eta: 1 day, 7:35:46 batch_cost: 3.3603 data_cost: 0.0023 ips: 38.0914 images/s [10/16 12:04:09] ppdet.engine INFO: Epoch: [156] [160/229] learning_rate: 0.185982 loss_vfl: 0.863038 loss_bbox: 0.330080 loss_dfl: 0.206992 loss: 1.405345 eta: 1 day, 7:34:35 batch_cost: 3.3538 data_cost: 0.0024 ips: 38.1658 images/s [10/16 12:05:21] ppdet.engine INFO: Epoch: [156] [180/229] learning_rate: 0.185799 loss_vfl: 0.876285 loss_bbox: 0.331553 loss_dfl: 0.199271 loss: 1.397876 eta: 1 day, 7:33:25 batch_cost: 3.4046 data_cost: 0.0024 ips: 37.5964 images/s [10/16 12:06:30] ppdet.engine INFO: Epoch: [156] [200/229] learning_rate: 0.185617 loss_vfl: 0.861663 loss_bbox: 0.333673 loss_dfl: 0.210664 loss: 1.406760 eta: 1 day, 7:32:13 batch_cost: 3.3125 data_cost: 0.0023 ips: 38.6420 images/s [10/16 12:07:36] ppdet.engine INFO: Epoch: [156] [220/229] learning_rate: 0.185434 loss_vfl: 0.877426 loss_bbox: 0.329109 loss_dfl: 0.203768 loss: 1.406742 eta: 1 day, 7:30:58 batch_cost: 3.1880 data_cost: 0.0023 ips: 40.1504 images/s [10/16 12:08:30] ppdet.engine INFO: Epoch: [157] [ 0/229] learning_rate: 0.185352 loss_vfl: 0.876904 loss_bbox: 0.332333 loss_dfl: 0.202060 loss: 1.411421 eta: 1 day, 7:30:43 batch_cost: 4.1249 data_cost: 0.6667 ips: 31.0308 images/s [10/16 12:09:44] ppdet.engine INFO: Epoch: [157] [ 20/229] learning_rate: 0.185170 loss_vfl: 0.857354 loss_bbox: 0.339528 loss_dfl: 0.206985 loss: 1.408627 eta: 1 day, 7:29:35 batch_cost: 3.5138 data_cost: 0.0028 ips: 36.4280 images/s [10/16 12:10:55] ppdet.engine INFO: Epoch: [157] [ 40/229] learning_rate: 0.184988 loss_vfl: 0.862797 loss_bbox: 0.314439 loss_dfl: 0.194129 loss: 1.377616 eta: 1 day, 7:28:24 batch_cost: 3.3803 data_cost: 0.0034 ips: 37.8660 images/s [10/16 12:12:05] ppdet.engine INFO: Epoch: [157] [ 60/229] learning_rate: 0.184805 loss_vfl: 0.858805 loss_bbox: 0.330707 loss_dfl: 0.206919 loss: 1.398190 eta: 1 day, 7:27:14 batch_cost: 3.3965 data_cost: 0.0025 ips: 37.6858 images/s [10/16 12:13:16] ppdet.engine INFO: Epoch: [157] [ 80/229] learning_rate: 0.184623 loss_vfl: 0.863915 loss_bbox: 0.349140 loss_dfl: 0.207423 loss: 1.414188 eta: 1 day, 7:26:03 batch_cost: 3.3872 data_cost: 0.0025 ips: 37.7891 images/s [10/16 12:14:29] ppdet.engine INFO: Epoch: [157] [100/229] learning_rate: 0.184440 loss_vfl: 0.881489 loss_bbox: 0.330005 loss_dfl: 0.203306 loss: 1.391496 eta: 1 day, 7:24:54 batch_cost: 3.4668 data_cost: 0.0025 ips: 36.9213 images/s [10/16 12:15:40] ppdet.engine INFO: Epoch: [157] [120/229] learning_rate: 0.184258 loss_vfl: 0.878128 loss_bbox: 0.328708 loss_dfl: 0.196624 loss: 1.397065 eta: 1 day, 7:23:44 batch_cost: 3.4246 data_cost: 0.0026 ips: 37.3771 images/s [10/16 12:16:50] ppdet.engine INFO: Epoch: [157] [140/229] learning_rate: 0.184076 loss_vfl: 0.874370 loss_bbox: 0.322920 loss_dfl: 0.199458 loss: 1.404171 eta: 1 day, 7:22:32 batch_cost: 3.3513 data_cost: 0.0023 ips: 38.1944 images/s [10/16 12:18:01] ppdet.engine INFO: Epoch: [157] [160/229] learning_rate: 0.183893 loss_vfl: 0.858842 loss_bbox: 0.348209 loss_dfl: 0.202790 loss: 1.401454 eta: 1 day, 7:21:22 batch_cost: 3.3897 data_cost: 0.0025 ips: 37.7612 images/s [10/16 12:19:14] ppdet.engine INFO: Epoch: [157] [180/229] learning_rate: 0.183711 loss_vfl: 0.872972 loss_bbox: 0.335316 loss_dfl: 0.213202 loss: 1.421910 eta: 1 day, 7:20:14 batch_cost: 3.5260 data_cost: 0.0026 ips: 36.3013 images/s [10/16 12:20:25] ppdet.engine INFO: Epoch: [157] [200/229] learning_rate: 0.183529 loss_vfl: 0.870629 loss_bbox: 0.347992 loss_dfl: 0.207610 loss: 1.430259 eta: 1 day, 7:19:03 batch_cost: 3.3788 data_cost: 0.0025 ips: 37.8828 images/s [10/16 12:21:34] ppdet.engine INFO: Epoch: [157] [220/229] learning_rate: 0.183346 loss_vfl: 0.875617 loss_bbox: 0.337855 loss_dfl: 0.203623 loss: 1.426321 eta: 1 day, 7:17:50 batch_cost: 3.2921 data_cost: 0.0024 ips: 38.8812 images/s [10/16 12:22:28] ppdet.engine INFO: Epoch: [158] [ 0/229] learning_rate: 0.183264 loss_vfl: 0.872473 loss_bbox: 0.335350 loss_dfl: 0.204192 loss: 1.398027 eta: 1 day, 7:17:36 batch_cost: 4.2306 data_cost: 0.5864 ips: 30.2561 images/s [10/16 12:23:41] ppdet.engine INFO: Epoch: [158] [ 20/229] learning_rate: 0.183082 loss_vfl: 0.852896 loss_bbox: 0.312960 loss_dfl: 0.192559 loss: 1.369273 eta: 1 day, 7:16:27 batch_cost: 3.4937 data_cost: 0.0035 ips: 36.6376 images/s [10/16 12:24:55] ppdet.engine INFO: Epoch: [158] [ 40/229] learning_rate: 0.182900 loss_vfl: 0.859214 loss_bbox: 0.334016 loss_dfl: 0.199526 loss: 1.387979 eta: 1 day, 7:15:19 batch_cost: 3.5690 data_cost: 0.0031 ips: 35.8640 images/s [10/16 12:26:06] ppdet.engine INFO: Epoch: [158] [ 60/229] learning_rate: 0.182718 loss_vfl: 0.856366 loss_bbox: 0.344671 loss_dfl: 0.204821 loss: 1.402552 eta: 1 day, 7:14:09 batch_cost: 3.3799 data_cost: 0.0027 ips: 37.8704 images/s [10/16 12:27:17] ppdet.engine INFO: Epoch: [158] [ 80/229] learning_rate: 0.182535 loss_vfl: 0.871769 loss_bbox: 0.345130 loss_dfl: 0.209485 loss: 1.419559 eta: 1 day, 7:12:58 batch_cost: 3.4019 data_cost: 0.0032 ips: 37.6265 images/s [10/16 12:28:26] ppdet.engine INFO: Epoch: [158] [100/229] learning_rate: 0.182353 loss_vfl: 0.867213 loss_bbox: 0.327146 loss_dfl: 0.196378 loss: 1.399453 eta: 1 day, 7:11:47 batch_cost: 3.3358 data_cost: 0.0025 ips: 38.3719 images/s [10/16 12:29:37] ppdet.engine INFO: Epoch: [158] [120/229] learning_rate: 0.182171 loss_vfl: 0.864948 loss_bbox: 0.329926 loss_dfl: 0.198115 loss: 1.388153 eta: 1 day, 7:10:36 batch_cost: 3.3816 data_cost: 0.0030 ips: 37.8523 images/s [10/16 12:30:47] ppdet.engine INFO: Epoch: [158] [140/229] learning_rate: 0.181989 loss_vfl: 0.865407 loss_bbox: 0.326190 loss_dfl: 0.196303 loss: 1.390705 eta: 1 day, 7:09:24 batch_cost: 3.3441 data_cost: 0.0025 ips: 38.2766 images/s [10/16 12:31:57] ppdet.engine INFO: Epoch: [158] [160/229] learning_rate: 0.181807 loss_vfl: 0.853787 loss_bbox: 0.339521 loss_dfl: 0.199900 loss: 1.398420 eta: 1 day, 7:08:13 batch_cost: 3.3428 data_cost: 0.0026 ips: 38.2918 images/s [10/16 12:33:07] ppdet.engine INFO: Epoch: [158] [180/229] learning_rate: 0.181625 loss_vfl: 0.859411 loss_bbox: 0.327036 loss_dfl: 0.197822 loss: 1.396404 eta: 1 day, 7:07:03 batch_cost: 3.3962 data_cost: 0.0025 ips: 37.6891 images/s [10/16 12:34:20] ppdet.engine INFO: Epoch: [158] [200/229] learning_rate: 0.181442 loss_vfl: 0.868527 loss_bbox: 0.337460 loss_dfl: 0.199800 loss: 1.396670 eta: 1 day, 7:05:53 batch_cost: 3.4524 data_cost: 0.0027 ips: 37.0757 images/s [10/16 12:35:29] ppdet.engine INFO: Epoch: [158] [220/229] learning_rate: 0.181260 loss_vfl: 0.859757 loss_bbox: 0.330830 loss_dfl: 0.201898 loss: 1.398685 eta: 1 day, 7:04:41 batch_cost: 3.3018 data_cost: 0.0028 ips: 38.7668 images/s [10/16 12:36:21] ppdet.engine INFO: Epoch: [159] [ 0/229] learning_rate: 0.181178 loss_vfl: 0.860284 loss_bbox: 0.327106 loss_dfl: 0.198159 loss: 1.379975 eta: 1 day, 7:04:24 batch_cost: 4.1007 data_cost: 0.5572 ips: 31.2144 images/s [10/16 12:37:33] ppdet.engine INFO: Epoch: [159] [ 20/229] learning_rate: 0.180996 loss_vfl: 0.856509 loss_bbox: 0.326987 loss_dfl: 0.198182 loss: 1.392021 eta: 1 day, 7:03:14 batch_cost: 3.4709 data_cost: 0.0028 ips: 36.8782 images/s [10/16 12:38:45] ppdet.engine INFO: Epoch: [159] [ 40/229] learning_rate: 0.180814 loss_vfl: 0.851930 loss_bbox: 0.331210 loss_dfl: 0.202671 loss: 1.391971 eta: 1 day, 7:02:05 batch_cost: 3.4608 data_cost: 0.0025 ips: 36.9859 images/s [10/16 12:39:57] ppdet.engine INFO: Epoch: [159] [ 60/229] learning_rate: 0.180632 loss_vfl: 0.860142 loss_bbox: 0.322095 loss_dfl: 0.198457 loss: 1.382692 eta: 1 day, 7:00:55 batch_cost: 3.4404 data_cost: 0.0024 ips: 37.2051 images/s [10/16 12:41:08] ppdet.engine INFO: Epoch: [159] [ 80/229] learning_rate: 0.180450 loss_vfl: 0.865816 loss_bbox: 0.337555 loss_dfl: 0.203968 loss: 1.403390 eta: 1 day, 6:59:45 batch_cost: 3.4017 data_cost: 0.0025 ips: 37.6280 images/s [10/16 12:42:18] ppdet.engine INFO: Epoch: [159] [100/229] learning_rate: 0.180268 loss_vfl: 0.868859 loss_bbox: 0.327252 loss_dfl: 0.198096 loss: 1.390056 eta: 1 day, 6:58:34 batch_cost: 3.3463 data_cost: 0.0025 ips: 38.2517 images/s [10/16 12:43:30] ppdet.engine INFO: Epoch: [159] [120/229] learning_rate: 0.180086 loss_vfl: 0.870401 loss_bbox: 0.327961 loss_dfl: 0.198071 loss: 1.400110 eta: 1 day, 6:57:24 batch_cost: 3.4375 data_cost: 0.0025 ips: 37.2362 images/s [10/16 12:44:41] ppdet.engine INFO: Epoch: [159] [140/229] learning_rate: 0.179904 loss_vfl: 0.861105 loss_bbox: 0.338793 loss_dfl: 0.199113 loss: 1.390839 eta: 1 day, 6:56:14 batch_cost: 3.4127 data_cost: 0.0026 ips: 37.5070 images/s [10/16 12:45:52] ppdet.engine INFO: Epoch: [159] [160/229] learning_rate: 0.179722 loss_vfl: 0.864688 loss_bbox: 0.322821 loss_dfl: 0.199641 loss: 1.396618 eta: 1 day, 6:55:03 batch_cost: 3.4147 data_cost: 0.0026 ips: 37.4850 images/s [10/16 12:47:03] ppdet.engine INFO: Epoch: [159] [180/229] learning_rate: 0.179540 loss_vfl: 0.864877 loss_bbox: 0.324745 loss_dfl: 0.199704 loss: 1.399305 eta: 1 day, 6:53:53 batch_cost: 3.4100 data_cost: 0.0025 ips: 37.5365 images/s [10/16 12:48:15] ppdet.engine INFO: Epoch: [159] [200/229] learning_rate: 0.179358 loss_vfl: 0.865559 loss_bbox: 0.319627 loss_dfl: 0.193791 loss: 1.382824 eta: 1 day, 6:52:43 batch_cost: 3.4141 data_cost: 0.0039 ips: 37.4911 images/s [10/16 12:49:24] ppdet.engine INFO: Epoch: [159] [220/229] learning_rate: 0.179176 loss_vfl: 0.870313 loss_bbox: 0.337359 loss_dfl: 0.203060 loss: 1.401009 eta: 1 day, 6:51:31 batch_cost: 3.3232 data_cost: 0.0024 ips: 38.5169 images/s [10/16 12:49:55] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 12:49:55] ppdet.engine INFO: Eval iter: 0 [10/16 12:50:32] ppdet.engine INFO: Eval iter: 100 [10/16 12:50:54] ppdet.engine INFO: Eval iter: 200 [10/16 12:51:16] ppdet.engine INFO: Eval iter: 300 [10/16 12:51:39] ppdet.engine INFO: Eval iter: 400 [10/16 12:52:01] ppdet.engine INFO: Eval iter: 500 [10/16 12:52:23] ppdet.engine INFO: Eval iter: 600 [10/16 12:52:44] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/16 12:52:44] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.23s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=94.44s). Accumulating evaluation results... DONE (t=17.35s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.263 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.403 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.275 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 ] = 0.262 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.250 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.389 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.415 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.135 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.455 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.680 [10/16 12:54:43] ppdet.engine INFO: Total sample number: 5000, averge FPS: 32.11887891256379 [10/16 12:54:43] ppdet.engine INFO: Best test bbox ap is 0.263. [10/16 12:54:43] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 12:54:46] ppdet.engine INFO: Epoch: [160] [ 0/229] learning_rate: 0.179094 loss_vfl: 0.854544 loss_bbox: 0.345155 loss_dfl: 0.203881 loss: 1.415081 eta: 1 day, 6:50:58 batch_cost: 3.2097 data_cost: 0.0025 ips: 39.8792 images/s [10/16 12:55:59] ppdet.engine INFO: Epoch: [160] [ 20/229] learning_rate: 0.178912 loss_vfl: 0.852031 loss_bbox: 0.335281 loss_dfl: 0.202468 loss: 1.401583 eta: 1 day, 6:49:49 batch_cost: 3.4981 data_cost: 0.0026 ips: 36.5917 images/s [10/16 12:57:10] ppdet.engine INFO: Epoch: [160] [ 40/229] learning_rate: 0.178731 loss_vfl: 0.865238 loss_bbox: 0.328654 loss_dfl: 0.201909 loss: 1.389014 eta: 1 day, 6:48:39 batch_cost: 3.4095 data_cost: 0.0024 ips: 37.5417 images/s [10/16 12:58:21] ppdet.engine INFO: Epoch: [160] [ 60/229] learning_rate: 0.178549 loss_vfl: 0.868652 loss_bbox: 0.324159 loss_dfl: 0.196213 loss: 1.400369 eta: 1 day, 6:47:28 batch_cost: 3.3667 data_cost: 0.0025 ips: 38.0190 images/s [10/16 12:59:33] ppdet.engine INFO: Epoch: [160] [ 80/229] learning_rate: 0.178367 loss_vfl: 0.863076 loss_bbox: 0.340890 loss_dfl: 0.208304 loss: 1.424548 eta: 1 day, 6:46:18 batch_cost: 3.4639 data_cost: 0.0030 ips: 36.9531 images/s [10/16 13:00:44] ppdet.engine INFO: Epoch: [160] [100/229] learning_rate: 0.178185 loss_vfl: 0.865169 loss_bbox: 0.327894 loss_dfl: 0.203771 loss: 1.393571 eta: 1 day, 6:45:08 batch_cost: 3.4087 data_cost: 0.0024 ips: 37.5508 images/s [10/16 13:01:55] ppdet.engine INFO: Epoch: [160] [120/229] learning_rate: 0.178003 loss_vfl: 0.864381 loss_bbox: 0.323596 loss_dfl: 0.201829 loss: 1.402875 eta: 1 day, 6:43:58 batch_cost: 3.4192 data_cost: 0.0023 ips: 37.4353 images/s [10/16 13:03:06] ppdet.engine INFO: Epoch: [160] [140/229] learning_rate: 0.177821 loss_vfl: 0.872491 loss_bbox: 0.328477 loss_dfl: 0.200914 loss: 1.403507 eta: 1 day, 6:42:47 batch_cost: 3.3730 data_cost: 0.0025 ips: 37.9486 images/s [10/16 13:04:17] ppdet.engine INFO: Epoch: [160] [160/229] learning_rate: 0.177640 loss_vfl: 0.856996 loss_bbox: 0.319851 loss_dfl: 0.197817 loss: 1.397155 eta: 1 day, 6:41:38 batch_cost: 3.4395 data_cost: 0.0024 ips: 37.2148 images/s [10/16 13:05:29] ppdet.engine INFO: Epoch: [160] [180/229] learning_rate: 0.177458 loss_vfl: 0.865954 loss_bbox: 0.312639 loss_dfl: 0.191976 loss: 1.372020 eta: 1 day, 6:40:28 batch_cost: 3.4188 data_cost: 0.0026 ips: 37.4396 images/s [10/16 13:06:41] ppdet.engine INFO: Epoch: [160] [200/229] learning_rate: 0.177276 loss_vfl: 0.864668 loss_bbox: 0.317581 loss_dfl: 0.201014 loss: 1.391899 eta: 1 day, 6:39:18 batch_cost: 3.4315 data_cost: 0.0024 ips: 37.3015 images/s [10/16 13:07:48] ppdet.engine INFO: Epoch: [160] [220/229] learning_rate: 0.177094 loss_vfl: 0.855037 loss_bbox: 0.333804 loss_dfl: 0.201909 loss: 1.390066 eta: 1 day, 6:38:04 batch_cost: 3.2052 data_cost: 0.0024 ips: 39.9350 images/s [10/16 13:08:42] ppdet.engine INFO: Epoch: [161] [ 0/229] learning_rate: 0.177013 loss_vfl: 0.853829 loss_bbox: 0.326186 loss_dfl: 0.198821 loss: 1.371024 eta: 1 day, 6:37:48 batch_cost: 4.1206 data_cost: 0.6248 ips: 31.0634 images/s [10/16 13:09:55] ppdet.engine INFO: Epoch: [161] [ 20/229] learning_rate: 0.176831 loss_vfl: 0.866459 loss_bbox: 0.338850 loss_dfl: 0.212655 loss: 1.408996 eta: 1 day, 6:36:39 batch_cost: 3.4987 data_cost: 0.0026 ips: 36.5848 images/s [10/16 13:11:07] ppdet.engine INFO: Epoch: [161] [ 40/229] learning_rate: 0.176649 loss_vfl: 0.854958 loss_bbox: 0.322307 loss_dfl: 0.194609 loss: 1.374093 eta: 1 day, 6:35:30 batch_cost: 3.4363 data_cost: 0.0026 ips: 37.2489 images/s [10/16 13:12:18] ppdet.engine INFO: Epoch: [161] [ 60/229] learning_rate: 0.176468 loss_vfl: 0.858064 loss_bbox: 0.345038 loss_dfl: 0.205243 loss: 1.422209 eta: 1 day, 6:34:20 batch_cost: 3.4198 data_cost: 0.0025 ips: 37.4286 images/s [10/16 13:13:31] ppdet.engine INFO: Epoch: [161] [ 80/229] learning_rate: 0.176286 loss_vfl: 0.880675 loss_bbox: 0.324721 loss_dfl: 0.193153 loss: 1.390164 eta: 1 day, 6:33:10 batch_cost: 3.4671 data_cost: 0.0026 ips: 36.9190 images/s [10/16 13:14:42] ppdet.engine INFO: Epoch: [161] [100/229] learning_rate: 0.176104 loss_vfl: 0.856011 loss_bbox: 0.318336 loss_dfl: 0.203014 loss: 1.381614 eta: 1 day, 6:32:00 batch_cost: 3.4174 data_cost: 0.0024 ips: 37.4554 images/s [10/16 13:15:53] ppdet.engine INFO: Epoch: [161] [120/229] learning_rate: 0.175923 loss_vfl: 0.879476 loss_bbox: 0.330474 loss_dfl: 0.202758 loss: 1.424498 eta: 1 day, 6:30:50 batch_cost: 3.4135 data_cost: 0.0037 ips: 37.4984 images/s [10/16 13:17:05] ppdet.engine INFO: Epoch: [161] [140/229] learning_rate: 0.175741 loss_vfl: 0.876918 loss_bbox: 0.330164 loss_dfl: 0.203943 loss: 1.420425 eta: 1 day, 6:29:41 batch_cost: 3.4617 data_cost: 0.0024 ips: 36.9765 images/s [10/16 13:18:17] ppdet.engine INFO: Epoch: [161] [160/229] learning_rate: 0.175560 loss_vfl: 0.858277 loss_bbox: 0.316866 loss_dfl: 0.198963 loss: 1.387573 eta: 1 day, 6:28:31 batch_cost: 3.4125 data_cost: 0.0026 ips: 37.5086 images/s [10/16 13:19:26] ppdet.engine INFO: Epoch: [161] [180/229] learning_rate: 0.175378 loss_vfl: 0.864431 loss_bbox: 0.335965 loss_dfl: 0.202403 loss: 1.412008 eta: 1 day, 6:27:19 batch_cost: 3.3331 data_cost: 0.0025 ips: 38.4030 images/s [10/16 13:20:39] ppdet.engine INFO: Epoch: [161] [200/229] learning_rate: 0.175197 loss_vfl: 0.864912 loss_bbox: 0.335782 loss_dfl: 0.198245 loss: 1.394907 eta: 1 day, 6:26:10 batch_cost: 3.4796 data_cost: 0.0025 ips: 36.7863 images/s [10/16 13:21:47] ppdet.engine INFO: Epoch: [161] [220/229] learning_rate: 0.175015 loss_vfl: 0.862242 loss_bbox: 0.339724 loss_dfl: 0.204690 loss: 1.397011 eta: 1 day, 6:24:57 batch_cost: 3.2463 data_cost: 0.0025 ips: 39.4293 images/s [10/16 13:22:40] ppdet.engine INFO: Epoch: [162] [ 0/229] learning_rate: 0.174933 loss_vfl: 0.858017 loss_bbox: 0.336334 loss_dfl: 0.202185 loss: 1.391932 eta: 1 day, 6:24:40 batch_cost: 4.1548 data_cost: 0.6094 ips: 30.8078 images/s [10/16 13:23:52] ppdet.engine INFO: Epoch: [162] [ 20/229] learning_rate: 0.174752 loss_vfl: 0.855345 loss_bbox: 0.328673 loss_dfl: 0.202347 loss: 1.391052 eta: 1 day, 6:23:31 batch_cost: 3.4624 data_cost: 0.0028 ips: 36.9682 images/s [10/16 13:25:06] ppdet.engine INFO: Epoch: [162] [ 40/229] learning_rate: 0.174570 loss_vfl: 0.848445 loss_bbox: 0.327460 loss_dfl: 0.196102 loss: 1.362908 eta: 1 day, 6:22:23 batch_cost: 3.5383 data_cost: 0.0026 ips: 36.1753 images/s [10/16 13:26:20] ppdet.engine INFO: Epoch: [162] [ 60/229] learning_rate: 0.174389 loss_vfl: 0.859712 loss_bbox: 0.317553 loss_dfl: 0.194596 loss: 1.381206 eta: 1 day, 6:21:15 batch_cost: 3.5484 data_cost: 0.0026 ips: 36.0726 images/s [10/16 13:27:32] ppdet.engine INFO: Epoch: [162] [ 80/229] learning_rate: 0.174208 loss_vfl: 0.871301 loss_bbox: 0.328531 loss_dfl: 0.203083 loss: 1.395387 eta: 1 day, 6:20:05 batch_cost: 3.4507 data_cost: 0.0025 ips: 37.0937 images/s [10/16 13:28:43] ppdet.engine INFO: Epoch: [162] [100/229] learning_rate: 0.174026 loss_vfl: 0.862151 loss_bbox: 0.333720 loss_dfl: 0.202621 loss: 1.404016 eta: 1 day, 6:18:55 batch_cost: 3.3947 data_cost: 0.0025 ips: 37.7064 images/s [10/16 13:29:54] ppdet.engine INFO: Epoch: [162] [120/229] learning_rate: 0.173845 loss_vfl: 0.859556 loss_bbox: 0.328482 loss_dfl: 0.199352 loss: 1.388389 eta: 1 day, 6:17:44 batch_cost: 3.3865 data_cost: 0.0025 ips: 37.7974 images/s [10/16 13:31:05] ppdet.engine INFO: Epoch: [162] [140/229] learning_rate: 0.173664 loss_vfl: 0.874095 loss_bbox: 0.329694 loss_dfl: 0.198783 loss: 1.415259 eta: 1 day, 6:16:34 batch_cost: 3.4056 data_cost: 0.0025 ips: 37.5854 images/s [10/16 13:32:17] ppdet.engine INFO: Epoch: [162] [160/229] learning_rate: 0.173482 loss_vfl: 0.860654 loss_bbox: 0.326564 loss_dfl: 0.200940 loss: 1.392505 eta: 1 day, 6:15:25 batch_cost: 3.4586 data_cost: 0.0025 ips: 37.0091 images/s [10/16 13:33:29] ppdet.engine INFO: Epoch: [162] [180/229] learning_rate: 0.173301 loss_vfl: 0.860712 loss_bbox: 0.326548 loss_dfl: 0.202399 loss: 1.380306 eta: 1 day, 6:14:15 batch_cost: 3.4677 data_cost: 0.0027 ips: 36.9119 images/s [10/16 13:34:43] ppdet.engine INFO: Epoch: [162] [200/229] learning_rate: 0.173120 loss_vfl: 0.879885 loss_bbox: 0.327348 loss_dfl: 0.194674 loss: 1.385950 eta: 1 day, 6:13:07 batch_cost: 3.5319 data_cost: 0.0025 ips: 36.2415 images/s [10/16 13:35:50] ppdet.engine INFO: Epoch: [162] [220/229] learning_rate: 0.172938 loss_vfl: 0.868780 loss_bbox: 0.334281 loss_dfl: 0.195303 loss: 1.400535 eta: 1 day, 6:11:54 batch_cost: 3.2247 data_cost: 0.0026 ips: 39.6941 images/s [10/16 13:36:43] ppdet.engine INFO: Epoch: [163] [ 0/229] learning_rate: 0.172857 loss_vfl: 0.867026 loss_bbox: 0.321996 loss_dfl: 0.194843 loss: 1.381011 eta: 1 day, 6:11:36 batch_cost: 3.9886 data_cost: 0.4161 ips: 32.0912 images/s [10/16 13:37:55] ppdet.engine INFO: Epoch: [163] [ 20/229] learning_rate: 0.172676 loss_vfl: 0.860295 loss_bbox: 0.321089 loss_dfl: 0.201752 loss: 1.400770 eta: 1 day, 6:10:27 batch_cost: 3.4470 data_cost: 0.0026 ips: 37.1333 images/s [10/16 13:39:06] ppdet.engine INFO: Epoch: [163] [ 40/229] learning_rate: 0.172494 loss_vfl: 0.849658 loss_bbox: 0.335150 loss_dfl: 0.203611 loss: 1.392947 eta: 1 day, 6:09:17 batch_cost: 3.4427 data_cost: 0.0024 ips: 37.1801 images/s [10/16 13:40:17] ppdet.engine INFO: Epoch: [163] [ 60/229] learning_rate: 0.172313 loss_vfl: 0.866126 loss_bbox: 0.328077 loss_dfl: 0.200812 loss: 1.403324 eta: 1 day, 6:08:06 batch_cost: 3.3945 data_cost: 0.0024 ips: 37.7086 images/s [10/16 13:41:26] ppdet.engine INFO: Epoch: [163] [ 80/229] learning_rate: 0.172132 loss_vfl: 0.871261 loss_bbox: 0.311654 loss_dfl: 0.197171 loss: 1.385318 eta: 1 day, 6:06:54 batch_cost: 3.2728 data_cost: 0.0031 ips: 39.1107 images/s [10/16 13:42:36] ppdet.engine INFO: Epoch: [163] [100/229] learning_rate: 0.171951 loss_vfl: 0.860144 loss_bbox: 0.334771 loss_dfl: 0.203797 loss: 1.406949 eta: 1 day, 6:05:43 batch_cost: 3.3719 data_cost: 0.0031 ips: 37.9610 images/s [10/16 13:43:46] ppdet.engine INFO: Epoch: [163] [120/229] learning_rate: 0.171770 loss_vfl: 0.868955 loss_bbox: 0.336919 loss_dfl: 0.196558 loss: 1.398060 eta: 1 day, 6:04:32 batch_cost: 3.3327 data_cost: 0.0024 ips: 38.4075 images/s [10/16 13:44:56] ppdet.engine INFO: Epoch: [163] [140/229] learning_rate: 0.171589 loss_vfl: 0.860916 loss_bbox: 0.332885 loss_dfl: 0.200603 loss: 1.401083 eta: 1 day, 6:03:21 batch_cost: 3.3641 data_cost: 0.0025 ips: 38.0487 images/s [10/16 13:46:08] ppdet.engine INFO: Epoch: [163] [160/229] learning_rate: 0.171408 loss_vfl: 0.861561 loss_bbox: 0.341890 loss_dfl: 0.199737 loss: 1.384966 eta: 1 day, 6:02:11 batch_cost: 3.4691 data_cost: 0.0032 ips: 36.8972 images/s [10/16 13:47:19] ppdet.engine INFO: Epoch: [163] [180/229] learning_rate: 0.171227 loss_vfl: 0.866800 loss_bbox: 0.330694 loss_dfl: 0.193922 loss: 1.389442 eta: 1 day, 6:01:01 batch_cost: 3.3996 data_cost: 0.0025 ips: 37.6510 images/s [10/16 13:48:29] ppdet.engine INFO: Epoch: [163] [200/229] learning_rate: 0.171046 loss_vfl: 0.870108 loss_bbox: 0.330368 loss_dfl: 0.206087 loss: 1.404138 eta: 1 day, 5:59:50 batch_cost: 3.3628 data_cost: 0.0025 ips: 38.0641 images/s [10/16 13:49:37] ppdet.engine INFO: Epoch: [163] [220/229] learning_rate: 0.170865 loss_vfl: 0.865295 loss_bbox: 0.327875 loss_dfl: 0.198473 loss: 1.399290 eta: 1 day, 5:58:37 batch_cost: 3.2128 data_cost: 0.0031 ips: 39.8406 images/s [10/16 13:50:31] ppdet.engine INFO: Epoch: [164] [ 0/229] learning_rate: 0.170783 loss_vfl: 0.851027 loss_bbox: 0.338925 loss_dfl: 0.206340 loss: 1.404908 eta: 1 day, 5:58:21 batch_cost: 4.2028 data_cost: 0.7642 ips: 30.4561 images/s [10/16 13:51:42] ppdet.engine INFO: Epoch: [164] [ 20/229] learning_rate: 0.170602 loss_vfl: 0.851923 loss_bbox: 0.327185 loss_dfl: 0.200996 loss: 1.376943 eta: 1 day, 5:57:10 batch_cost: 3.3663 data_cost: 0.0024 ips: 38.0234 images/s [10/16 13:52:52] ppdet.engine INFO: Epoch: [164] [ 40/229] learning_rate: 0.170422 loss_vfl: 0.853415 loss_bbox: 0.313412 loss_dfl: 0.187418 loss: 1.363356 eta: 1 day, 5:55:59 batch_cost: 3.3635 data_cost: 0.0024 ips: 38.0553 images/s [10/16 13:54:04] ppdet.engine INFO: Epoch: [164] [ 60/229] learning_rate: 0.170241 loss_vfl: 0.854795 loss_bbox: 0.321609 loss_dfl: 0.198027 loss: 1.379009 eta: 1 day, 5:54:49 batch_cost: 3.4438 data_cost: 0.0024 ips: 37.1687 images/s [10/16 13:55:16] ppdet.engine INFO: Epoch: [164] [ 80/229] learning_rate: 0.170060 loss_vfl: 0.857183 loss_bbox: 0.331025 loss_dfl: 0.203059 loss: 1.399025 eta: 1 day, 5:53:40 batch_cost: 3.4460 data_cost: 0.0025 ips: 37.1441 images/s [10/16 13:56:25] ppdet.engine INFO: Epoch: [164] [100/229] learning_rate: 0.169879 loss_vfl: 0.858514 loss_bbox: 0.331846 loss_dfl: 0.196435 loss: 1.376691 eta: 1 day, 5:52:28 batch_cost: 3.2949 data_cost: 0.0025 ips: 38.8480 images/s [10/16 13:57:36] ppdet.engine INFO: Epoch: [164] [120/229] learning_rate: 0.169698 loss_vfl: 0.860111 loss_bbox: 0.318160 loss_dfl: 0.199197 loss: 1.401131 eta: 1 day, 5:51:17 batch_cost: 3.3962 data_cost: 0.0025 ips: 37.6887 images/s [10/16 13:58:48] ppdet.engine INFO: Epoch: [164] [140/229] learning_rate: 0.169517 loss_vfl: 0.872904 loss_bbox: 0.327543 loss_dfl: 0.194309 loss: 1.390824 eta: 1 day, 5:50:08 batch_cost: 3.4877 data_cost: 0.0027 ips: 36.7008 images/s [10/16 14:00:00] ppdet.engine INFO: Epoch: [164] [160/229] learning_rate: 0.169337 loss_vfl: 0.877733 loss_bbox: 0.325714 loss_dfl: 0.205016 loss: 1.415453 eta: 1 day, 5:48:59 batch_cost: 3.4380 data_cost: 0.0027 ips: 37.2312 images/s [10/16 14:01:11] ppdet.engine INFO: Epoch: [164] [180/229] learning_rate: 0.169156 loss_vfl: 0.871349 loss_bbox: 0.326823 loss_dfl: 0.207570 loss: 1.412903 eta: 1 day, 5:47:48 batch_cost: 3.4106 data_cost: 0.0031 ips: 37.5296 images/s [10/16 14:02:23] ppdet.engine INFO: Epoch: [164] [200/229] learning_rate: 0.168975 loss_vfl: 0.866369 loss_bbox: 0.321940 loss_dfl: 0.202706 loss: 1.394796 eta: 1 day, 5:46:39 batch_cost: 3.4441 data_cost: 0.0027 ips: 37.1653 images/s [10/16 14:03:30] ppdet.engine INFO: Epoch: [164] [220/229] learning_rate: 0.168794 loss_vfl: 0.867755 loss_bbox: 0.313883 loss_dfl: 0.197547 loss: 1.382571 eta: 1 day, 5:45:25 batch_cost: 3.1827 data_cost: 0.0024 ips: 40.2171 images/s [10/16 14:04:21] ppdet.engine INFO: Epoch: [165] [ 0/229] learning_rate: 0.168713 loss_vfl: 0.866117 loss_bbox: 0.313125 loss_dfl: 0.197208 loss: 1.382056 eta: 1 day, 5:45:07 batch_cost: 4.0357 data_cost: 0.4675 ips: 31.7166 images/s [10/16 14:05:33] ppdet.engine INFO: Epoch: [165] [ 20/229] learning_rate: 0.168532 loss_vfl: 0.852522 loss_bbox: 0.331345 loss_dfl: 0.197395 loss: 1.376465 eta: 1 day, 5:43:57 batch_cost: 3.4424 data_cost: 0.0025 ips: 37.1836 images/s [10/16 14:06:43] ppdet.engine INFO: Epoch: [165] [ 40/229] learning_rate: 0.168352 loss_vfl: 0.864487 loss_bbox: 0.330471 loss_dfl: 0.203321 loss: 1.387483 eta: 1 day, 5:42:45 batch_cost: 3.3132 data_cost: 0.0024 ips: 38.6336 images/s [10/16 14:07:53] ppdet.engine INFO: Epoch: [165] [ 60/229] learning_rate: 0.168171 loss_vfl: 0.848458 loss_bbox: 0.336053 loss_dfl: 0.197247 loss: 1.387938 eta: 1 day, 5:41:35 batch_cost: 3.3995 data_cost: 0.0024 ips: 37.6530 images/s [10/16 14:09:05] ppdet.engine INFO: Epoch: [165] [ 80/229] learning_rate: 0.167991 loss_vfl: 0.868167 loss_bbox: 0.319893 loss_dfl: 0.199474 loss: 1.387734 eta: 1 day, 5:40:25 batch_cost: 3.4381 data_cost: 0.0025 ips: 37.2299 images/s [10/16 14:10:16] ppdet.engine INFO: Epoch: [165] [100/229] learning_rate: 0.167810 loss_vfl: 0.871568 loss_bbox: 0.335325 loss_dfl: 0.201303 loss: 1.409094 eta: 1 day, 5:39:15 batch_cost: 3.3844 data_cost: 0.0024 ips: 37.8209 images/s [10/16 14:11:25] ppdet.engine INFO: Epoch: [165] [120/229] learning_rate: 0.167630 loss_vfl: 0.867878 loss_bbox: 0.335112 loss_dfl: 0.199006 loss: 1.399954 eta: 1 day, 5:38:03 batch_cost: 3.3347 data_cost: 0.0024 ips: 38.3840 images/s [10/16 14:12:36] ppdet.engine INFO: Epoch: [165] [140/229] learning_rate: 0.167449 loss_vfl: 0.847613 loss_bbox: 0.324282 loss_dfl: 0.194705 loss: 1.394745 eta: 1 day, 5:36:52 batch_cost: 3.3646 data_cost: 0.0032 ips: 38.0430 images/s [10/16 14:13:47] ppdet.engine INFO: Epoch: [165] [160/229] learning_rate: 0.167269 loss_vfl: 0.856734 loss_bbox: 0.322693 loss_dfl: 0.193550 loss: 1.356446 eta: 1 day, 5:35:42 batch_cost: 3.3936 data_cost: 0.0025 ips: 37.7183 images/s [10/16 14:14:56] ppdet.engine INFO: Epoch: [165] [180/229] learning_rate: 0.167088 loss_vfl: 0.863961 loss_bbox: 0.333129 loss_dfl: 0.204190 loss: 1.391148 eta: 1 day, 5:34:30 batch_cost: 3.3231 data_cost: 0.0024 ips: 38.5188 images/s [10/16 14:16:08] ppdet.engine INFO: Epoch: [165] [200/229] learning_rate: 0.166908 loss_vfl: 0.860903 loss_bbox: 0.340620 loss_dfl: 0.200583 loss: 1.399449 eta: 1 day, 5:33:21 batch_cost: 3.4394 data_cost: 0.0026 ips: 37.2158 images/s [10/16 14:17:16] ppdet.engine INFO: Epoch: [165] [220/229] learning_rate: 0.166727 loss_vfl: 0.870584 loss_bbox: 0.333696 loss_dfl: 0.204609 loss: 1.403347 eta: 1 day, 5:32:08 batch_cost: 3.2554 data_cost: 0.0025 ips: 39.3192 images/s [10/16 14:18:12] ppdet.engine INFO: Epoch: [166] [ 0/229] learning_rate: 0.166646 loss_vfl: 0.860341 loss_bbox: 0.331935 loss_dfl: 0.198422 loss: 1.388217 eta: 1 day, 5:31:53 batch_cost: 4.3389 data_cost: 0.8222 ips: 29.5002 images/s [10/16 14:19:25] ppdet.engine INFO: Epoch: [166] [ 20/229] learning_rate: 0.166466 loss_vfl: 0.857357 loss_bbox: 0.337128 loss_dfl: 0.202494 loss: 1.395103 eta: 1 day, 5:30:44 batch_cost: 3.4457 data_cost: 0.0032 ips: 37.1473 images/s [10/16 14:20:36] ppdet.engine INFO: Epoch: [166] [ 40/229] learning_rate: 0.166286 loss_vfl: 0.848510 loss_bbox: 0.341076 loss_dfl: 0.201722 loss: 1.382810 eta: 1 day, 5:29:34 batch_cost: 3.4106 data_cost: 0.0026 ips: 37.5300 images/s [10/16 14:21:46] ppdet.engine INFO: Epoch: [166] [ 60/229] learning_rate: 0.166105 loss_vfl: 0.859501 loss_bbox: 0.330856 loss_dfl: 0.198205 loss: 1.390743 eta: 1 day, 5:28:23 batch_cost: 3.3749 data_cost: 0.0024 ips: 37.9271 images/s [10/16 14:22:57] ppdet.engine INFO: Epoch: [166] [ 80/229] learning_rate: 0.165925 loss_vfl: 0.860370 loss_bbox: 0.321097 loss_dfl: 0.197654 loss: 1.375619 eta: 1 day, 5:27:12 batch_cost: 3.3911 data_cost: 0.0025 ips: 37.7461 images/s [10/16 14:24:08] ppdet.engine INFO: Epoch: [166] [100/229] learning_rate: 0.165745 loss_vfl: 0.858751 loss_bbox: 0.327394 loss_dfl: 0.196881 loss: 1.385826 eta: 1 day, 5:26:02 batch_cost: 3.3974 data_cost: 0.0024 ips: 37.6757 images/s [10/16 14:25:17] ppdet.engine INFO: Epoch: [166] [120/229] learning_rate: 0.165565 loss_vfl: 0.876602 loss_bbox: 0.322922 loss_dfl: 0.200456 loss: 1.391828 eta: 1 day, 5:24:50 batch_cost: 3.3174 data_cost: 0.0024 ips: 38.5841 images/s [10/16 14:26:29] ppdet.engine INFO: Epoch: [166] [140/229] learning_rate: 0.165384 loss_vfl: 0.842544 loss_bbox: 0.337622 loss_dfl: 0.202348 loss: 1.393258 eta: 1 day, 5:23:40 batch_cost: 3.4100 data_cost: 0.0024 ips: 37.5365 images/s [10/16 14:27:39] ppdet.engine INFO: Epoch: [166] [160/229] learning_rate: 0.165204 loss_vfl: 0.857494 loss_bbox: 0.332030 loss_dfl: 0.204055 loss: 1.377694 eta: 1 day, 5:22:30 batch_cost: 3.3807 data_cost: 0.0025 ips: 37.8615 images/s [10/16 14:28:50] ppdet.engine INFO: Epoch: [166] [180/229] learning_rate: 0.165024 loss_vfl: 0.876401 loss_bbox: 0.330602 loss_dfl: 0.205616 loss: 1.408975 eta: 1 day, 5:21:19 batch_cost: 3.3827 data_cost: 0.0024 ips: 37.8392 images/s [10/16 14:30:01] ppdet.engine INFO: Epoch: [166] [200/229] learning_rate: 0.164844 loss_vfl: 0.866012 loss_bbox: 0.312506 loss_dfl: 0.190929 loss: 1.382161 eta: 1 day, 5:20:09 batch_cost: 3.3970 data_cost: 0.0024 ips: 37.6808 images/s [10/16 14:31:09] ppdet.engine INFO: Epoch: [166] [220/229] learning_rate: 0.164664 loss_vfl: 0.867007 loss_bbox: 0.319498 loss_dfl: 0.194221 loss: 1.375931 eta: 1 day, 5:18:56 batch_cost: 3.2438 data_cost: 0.0025 ips: 39.4599 images/s [10/16 14:32:03] ppdet.engine INFO: Epoch: [167] [ 0/229] learning_rate: 0.164583 loss_vfl: 0.865598 loss_bbox: 0.312546 loss_dfl: 0.190593 loss: 1.375931 eta: 1 day, 5:18:39 batch_cost: 4.1899 data_cost: 0.7764 ips: 30.5495 images/s [10/16 14:33:15] ppdet.engine INFO: Epoch: [167] [ 20/229] learning_rate: 0.164403 loss_vfl: 0.858132 loss_bbox: 0.331021 loss_dfl: 0.198467 loss: 1.393259 eta: 1 day, 5:17:30 batch_cost: 3.4726 data_cost: 0.0025 ips: 36.8605 images/s [10/16 14:34:28] ppdet.engine INFO: Epoch: [167] [ 40/229] learning_rate: 0.164223 loss_vfl: 0.860238 loss_bbox: 0.330948 loss_dfl: 0.204170 loss: 1.397320 eta: 1 day, 5:16:21 batch_cost: 3.4978 data_cost: 0.0025 ips: 36.5943 images/s [10/16 14:35:39] ppdet.engine INFO: Epoch: [167] [ 60/229] learning_rate: 0.164043 loss_vfl: 0.835035 loss_bbox: 0.321915 loss_dfl: 0.198596 loss: 1.371547 eta: 1 day, 5:15:11 batch_cost: 3.3867 data_cost: 0.0025 ips: 37.7945 images/s [10/16 14:36:49] ppdet.engine INFO: Epoch: [167] [ 80/229] learning_rate: 0.163863 loss_vfl: 0.857022 loss_bbox: 0.333233 loss_dfl: 0.201716 loss: 1.398751 eta: 1 day, 5:14:00 batch_cost: 3.3734 data_cost: 0.0024 ips: 37.9443 images/s [10/16 14:37:59] ppdet.engine INFO: Epoch: [167] [100/229] learning_rate: 0.163683 loss_vfl: 0.858580 loss_bbox: 0.337552 loss_dfl: 0.205472 loss: 1.395633 eta: 1 day, 5:12:49 batch_cost: 3.3158 data_cost: 0.0023 ips: 38.6025 images/s [10/16 14:39:09] ppdet.engine INFO: Epoch: [167] [120/229] learning_rate: 0.163503 loss_vfl: 0.852354 loss_bbox: 0.319627 loss_dfl: 0.200726 loss: 1.384666 eta: 1 day, 5:11:38 batch_cost: 3.3845 data_cost: 0.0024 ips: 37.8193 images/s [10/16 14:40:19] ppdet.engine INFO: Epoch: [167] [140/229] learning_rate: 0.163324 loss_vfl: 0.872052 loss_bbox: 0.316473 loss_dfl: 0.193342 loss: 1.372032 eta: 1 day, 5:10:27 batch_cost: 3.3263 data_cost: 0.0024 ips: 38.4806 images/s [10/16 14:41:28] ppdet.engine INFO: Epoch: [167] [160/229] learning_rate: 0.163144 loss_vfl: 0.858179 loss_bbox: 0.325285 loss_dfl: 0.192966 loss: 1.378124 eta: 1 day, 5:09:15 batch_cost: 3.3102 data_cost: 0.0026 ips: 38.6682 images/s [10/16 14:42:38] ppdet.engine INFO: Epoch: [167] [180/229] learning_rate: 0.162964 loss_vfl: 0.860088 loss_bbox: 0.337962 loss_dfl: 0.205057 loss: 1.396158 eta: 1 day, 5:08:04 batch_cost: 3.3874 data_cost: 0.0025 ips: 37.7871 images/s [10/16 14:43:48] ppdet.engine INFO: Epoch: [167] [200/229] learning_rate: 0.162784 loss_vfl: 0.857012 loss_bbox: 0.332232 loss_dfl: 0.205239 loss: 1.393788 eta: 1 day, 5:06:53 batch_cost: 3.3313 data_cost: 0.0025 ips: 38.4237 images/s [10/16 14:44:55] ppdet.engine INFO: Epoch: [167] [220/229] learning_rate: 0.162605 loss_vfl: 0.863005 loss_bbox: 0.328054 loss_dfl: 0.197177 loss: 1.391358 eta: 1 day, 5:05:39 batch_cost: 3.1896 data_cost: 0.0024 ips: 40.1304 images/s [10/16 14:45:49] ppdet.engine INFO: Epoch: [168] [ 0/229] learning_rate: 0.162524 loss_vfl: 0.865851 loss_bbox: 0.327137 loss_dfl: 0.199793 loss: 1.400456 eta: 1 day, 5:05:22 batch_cost: 4.1418 data_cost: 0.7077 ips: 30.9045 images/s [10/16 14:47:02] ppdet.engine INFO: Epoch: [168] [ 20/229] learning_rate: 0.162344 loss_vfl: 0.846667 loss_bbox: 0.323028 loss_dfl: 0.193734 loss: 1.373896 eta: 1 day, 5:04:14 batch_cost: 3.5028 data_cost: 0.0027 ips: 36.5418 images/s [10/16 14:48:14] ppdet.engine INFO: Epoch: [168] [ 40/229] learning_rate: 0.162164 loss_vfl: 0.850294 loss_bbox: 0.330015 loss_dfl: 0.196952 loss: 1.385983 eta: 1 day, 5:03:04 batch_cost: 3.4377 data_cost: 0.0027 ips: 37.2346 images/s [10/16 14:49:24] ppdet.engine INFO: Epoch: [168] [ 60/229] learning_rate: 0.161985 loss_vfl: 0.852831 loss_bbox: 0.323949 loss_dfl: 0.196527 loss: 1.373921 eta: 1 day, 5:01:53 batch_cost: 3.3332 data_cost: 0.0024 ips: 38.4011 images/s [10/16 14:50:34] ppdet.engine INFO: Epoch: [168] [ 80/229] learning_rate: 0.161805 loss_vfl: 0.846054 loss_bbox: 0.334659 loss_dfl: 0.204732 loss: 1.393157 eta: 1 day, 5:00:42 batch_cost: 3.3848 data_cost: 0.0024 ips: 37.8166 images/s [10/16 14:51:44] ppdet.engine INFO: Epoch: [168] [100/229] learning_rate: 0.161626 loss_vfl: 0.853158 loss_bbox: 0.332214 loss_dfl: 0.195390 loss: 1.390596 eta: 1 day, 4:59:31 batch_cost: 3.3637 data_cost: 0.0024 ips: 38.0537 images/s [10/16 14:52:55] ppdet.engine INFO: Epoch: [168] [120/229] learning_rate: 0.161446 loss_vfl: 0.865250 loss_bbox: 0.322005 loss_dfl: 0.204256 loss: 1.390784 eta: 1 day, 4:58:21 batch_cost: 3.3884 data_cost: 0.0027 ips: 37.7760 images/s [10/16 14:54:06] ppdet.engine INFO: Epoch: [168] [140/229] learning_rate: 0.161267 loss_vfl: 0.871735 loss_bbox: 0.321264 loss_dfl: 0.194370 loss: 1.367924 eta: 1 day, 4:57:11 batch_cost: 3.4116 data_cost: 0.0030 ips: 37.5187 images/s [10/16 14:55:19] ppdet.engine INFO: Epoch: [168] [160/229] learning_rate: 0.161087 loss_vfl: 0.855459 loss_bbox: 0.329025 loss_dfl: 0.198255 loss: 1.389347 eta: 1 day, 4:56:01 batch_cost: 3.4680 data_cost: 0.0025 ips: 36.9091 images/s [10/16 14:56:31] ppdet.engine INFO: Epoch: [168] [180/229] learning_rate: 0.160908 loss_vfl: 0.855912 loss_bbox: 0.333975 loss_dfl: 0.202155 loss: 1.391194 eta: 1 day, 4:54:52 batch_cost: 3.4347 data_cost: 0.0025 ips: 37.2666 images/s [10/16 14:57:41] ppdet.engine INFO: Epoch: [168] [200/229] learning_rate: 0.160729 loss_vfl: 0.863193 loss_bbox: 0.343663 loss_dfl: 0.202540 loss: 1.414644 eta: 1 day, 4:53:41 batch_cost: 3.3646 data_cost: 0.0024 ips: 38.0436 images/s [10/16 14:58:48] ppdet.engine INFO: Epoch: [168] [220/229] learning_rate: 0.160549 loss_vfl: 0.869409 loss_bbox: 0.307714 loss_dfl: 0.193169 loss: 1.380219 eta: 1 day, 4:52:28 batch_cost: 3.2211 data_cost: 0.0026 ips: 39.7375 images/s [10/16 14:59:42] ppdet.engine INFO: Epoch: [169] [ 0/229] learning_rate: 0.160469 loss_vfl: 0.867866 loss_bbox: 0.330524 loss_dfl: 0.199463 loss: 1.398958 eta: 1 day, 4:52:10 batch_cost: 4.1317 data_cost: 0.7560 ips: 30.9799 images/s [10/16 15:00:55] ppdet.engine INFO: Epoch: [169] [ 20/229] learning_rate: 0.160289 loss_vfl: 0.849920 loss_bbox: 0.320560 loss_dfl: 0.198744 loss: 1.366828 eta: 1 day, 4:51:02 batch_cost: 3.5012 data_cost: 0.0027 ips: 36.5592 images/s [10/16 15:02:06] ppdet.engine INFO: Epoch: [169] [ 40/229] learning_rate: 0.160110 loss_vfl: 0.854129 loss_bbox: 0.326461 loss_dfl: 0.201810 loss: 1.376154 eta: 1 day, 4:49:52 batch_cost: 3.4135 data_cost: 0.0024 ips: 37.4983 images/s [10/16 15:03:17] ppdet.engine INFO: Epoch: [169] [ 60/229] learning_rate: 0.159931 loss_vfl: 0.864679 loss_bbox: 0.322742 loss_dfl: 0.200900 loss: 1.387817 eta: 1 day, 4:48:41 batch_cost: 3.3726 data_cost: 0.0027 ips: 37.9527 images/s [10/16 15:04:27] ppdet.engine INFO: Epoch: [169] [ 80/229] learning_rate: 0.159752 loss_vfl: 0.858833 loss_bbox: 0.317960 loss_dfl: 0.195929 loss: 1.383340 eta: 1 day, 4:47:30 batch_cost: 3.3841 data_cost: 0.0026 ips: 37.8240 images/s [10/16 15:05:37] ppdet.engine INFO: Epoch: [169] [100/229] learning_rate: 0.159572 loss_vfl: 0.858983 loss_bbox: 0.326033 loss_dfl: 0.200884 loss: 1.374844 eta: 1 day, 4:46:20 batch_cost: 3.3592 data_cost: 0.0045 ips: 38.1048 images/s [10/16 15:06:47] ppdet.engine INFO: Epoch: [169] [120/229] learning_rate: 0.159393 loss_vfl: 0.855008 loss_bbox: 0.323035 loss_dfl: 0.196262 loss: 1.378382 eta: 1 day, 4:45:08 batch_cost: 3.3237 data_cost: 0.0026 ips: 38.5108 images/s [10/16 15:07:59] ppdet.engine INFO: Epoch: [169] [140/229] learning_rate: 0.159214 loss_vfl: 0.871198 loss_bbox: 0.319330 loss_dfl: 0.203232 loss: 1.388010 eta: 1 day, 4:43:59 batch_cost: 3.4526 data_cost: 0.0027 ips: 37.0740 images/s [10/16 15:09:11] ppdet.engine INFO: Epoch: [169] [160/229] learning_rate: 0.159035 loss_vfl: 0.855468 loss_bbox: 0.320446 loss_dfl: 0.201689 loss: 1.393163 eta: 1 day, 4:42:49 batch_cost: 3.4491 data_cost: 0.0025 ips: 37.1115 images/s [10/16 15:10:22] ppdet.engine INFO: Epoch: [169] [180/229] learning_rate: 0.158856 loss_vfl: 0.871808 loss_bbox: 0.343349 loss_dfl: 0.206682 loss: 1.425217 eta: 1 day, 4:41:39 batch_cost: 3.4420 data_cost: 0.0024 ips: 37.1876 images/s [10/16 15:11:32] ppdet.engine INFO: Epoch: [169] [200/229] learning_rate: 0.158677 loss_vfl: 0.855348 loss_bbox: 0.346716 loss_dfl: 0.208421 loss: 1.403732 eta: 1 day, 4:40:28 batch_cost: 3.3407 data_cost: 0.0032 ips: 38.3149 images/s [10/16 15:12:38] ppdet.engine INFO: Epoch: [169] [220/229] learning_rate: 0.158498 loss_vfl: 0.851932 loss_bbox: 0.345992 loss_dfl: 0.203657 loss: 1.395829 eta: 1 day, 4:39:14 batch_cost: 3.1575 data_cost: 0.0024 ips: 40.5382 images/s [10/16 15:13:07] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 15:13:08] ppdet.engine INFO: Eval iter: 0 [10/16 15:13:46] ppdet.engine INFO: Eval iter: 100 [10/16 15:14:08] ppdet.engine INFO: Eval iter: 200 [10/16 15:14:31] ppdet.engine INFO: Eval iter: 300 [10/16 15:14:53] ppdet.engine INFO: Eval iter: 400 [10/16 15:15:16] ppdet.engine INFO: Eval iter: 500 [10/16 15:15:40] ppdet.engine INFO: Eval iter: 600 [10/16 15:16:00] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/16 15:16:01] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.11s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=94.96s). Accumulating evaluation results... DONE (t=16.83s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.400 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.270 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.079 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.259 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.451 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.251 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.390 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 ] = 0.136 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.683 [10/16 15:18:00] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.300816810464838 [10/16 15:18:00] ppdet.engine INFO: Best test bbox ap is 0.263. [10/16 15:18:03] ppdet.engine INFO: Epoch: [170] [ 0/229] learning_rate: 0.158418 loss_vfl: 0.865618 loss_bbox: 0.348141 loss_dfl: 0.207372 loss: 1.418805 eta: 1 day, 4:38:40 batch_cost: 3.0539 data_cost: 0.0024 ips: 41.9139 images/s [10/16 15:19:17] ppdet.engine INFO: Epoch: [170] [ 20/229] learning_rate: 0.158239 loss_vfl: 0.849085 loss_bbox: 0.332392 loss_dfl: 0.200288 loss: 1.380751 eta: 1 day, 4:37:32 batch_cost: 3.5480 data_cost: 0.0029 ips: 36.0767 images/s [10/16 15:20:29] ppdet.engine INFO: Epoch: [170] [ 40/229] learning_rate: 0.158060 loss_vfl: 0.854664 loss_bbox: 0.339474 loss_dfl: 0.199770 loss: 1.391834 eta: 1 day, 4:36:23 batch_cost: 3.4308 data_cost: 0.0026 ips: 37.3086 images/s [10/16 15:21:41] ppdet.engine INFO: Epoch: [170] [ 60/229] learning_rate: 0.157881 loss_vfl: 0.851418 loss_bbox: 0.331735 loss_dfl: 0.202516 loss: 1.390850 eta: 1 day, 4:35:13 batch_cost: 3.4614 data_cost: 0.0025 ips: 36.9794 images/s [10/16 15:22:52] ppdet.engine INFO: Epoch: [170] [ 80/229] learning_rate: 0.157702 loss_vfl: 0.861068 loss_bbox: 0.321143 loss_dfl: 0.200436 loss: 1.391220 eta: 1 day, 4:34:03 batch_cost: 3.3840 data_cost: 0.0025 ips: 37.8253 images/s [10/16 15:24:02] ppdet.engine INFO: Epoch: [170] [100/229] learning_rate: 0.157524 loss_vfl: 0.856876 loss_bbox: 0.324372 loss_dfl: 0.196027 loss: 1.384318 eta: 1 day, 4:32:52 batch_cost: 3.3743 data_cost: 0.0025 ips: 37.9334 images/s [10/16 15:25:13] ppdet.engine INFO: Epoch: [170] [120/229] learning_rate: 0.157345 loss_vfl: 0.855461 loss_bbox: 0.319296 loss_dfl: 0.193572 loss: 1.368117 eta: 1 day, 4:31:41 batch_cost: 3.3611 data_cost: 0.0025 ips: 38.0829 images/s [10/16 15:26:24] ppdet.engine INFO: Epoch: [170] [140/229] learning_rate: 0.157166 loss_vfl: 0.850311 loss_bbox: 0.327977 loss_dfl: 0.203206 loss: 1.377024 eta: 1 day, 4:30:31 batch_cost: 3.3986 data_cost: 0.0025 ips: 37.6631 images/s [10/16 15:27:35] ppdet.engine INFO: Epoch: [170] [160/229] learning_rate: 0.156987 loss_vfl: 0.851484 loss_bbox: 0.331521 loss_dfl: 0.203958 loss: 1.397296 eta: 1 day, 4:29:21 batch_cost: 3.4328 data_cost: 0.0025 ips: 37.2874 images/s [10/16 15:28:45] ppdet.engine INFO: Epoch: [170] [180/229] learning_rate: 0.156809 loss_vfl: 0.856857 loss_bbox: 0.332574 loss_dfl: 0.200673 loss: 1.396796 eta: 1 day, 4:28:10 batch_cost: 3.3477 data_cost: 0.0024 ips: 38.2348 images/s [10/16 15:29:54] ppdet.engine INFO: Epoch: [170] [200/229] learning_rate: 0.156630 loss_vfl: 0.863206 loss_bbox: 0.314818 loss_dfl: 0.194548 loss: 1.368920 eta: 1 day, 4:26:59 batch_cost: 3.3083 data_cost: 0.0025 ips: 38.6910 images/s [10/16 15:30:58] ppdet.engine INFO: Epoch: [170] [220/229] learning_rate: 0.156452 loss_vfl: 0.858626 loss_bbox: 0.340422 loss_dfl: 0.203551 loss: 1.394649 eta: 1 day, 4:25:43 batch_cost: 3.0692 data_cost: 0.0024 ips: 41.7048 images/s [10/16 15:31:50] ppdet.engine INFO: Epoch: [171] [ 0/229] learning_rate: 0.156371 loss_vfl: 0.846098 loss_bbox: 0.330787 loss_dfl: 0.202739 loss: 1.361206 eta: 1 day, 4:25:24 batch_cost: 3.9549 data_cost: 0.4868 ips: 32.3649 images/s [10/16 15:33:03] ppdet.engine INFO: Epoch: [171] [ 20/229] learning_rate: 0.156193 loss_vfl: 0.860426 loss_bbox: 0.334922 loss_dfl: 0.205742 loss: 1.389582 eta: 1 day, 4:24:15 batch_cost: 3.4693 data_cost: 0.0026 ips: 36.8955 images/s [10/16 15:34:13] ppdet.engine INFO: Epoch: [171] [ 40/229] learning_rate: 0.156014 loss_vfl: 0.854154 loss_bbox: 0.324376 loss_dfl: 0.200042 loss: 1.377848 eta: 1 day, 4:23:05 batch_cost: 3.3828 data_cost: 0.0026 ips: 37.8386 images/s [10/16 15:35:21] ppdet.engine INFO: Epoch: [171] [ 60/229] learning_rate: 0.155836 loss_vfl: 0.858850 loss_bbox: 0.329871 loss_dfl: 0.194848 loss: 1.372896 eta: 1 day, 4:21:52 batch_cost: 3.2542 data_cost: 0.0024 ips: 39.3344 images/s [10/16 15:36:31] ppdet.engine INFO: Epoch: [171] [ 80/229] learning_rate: 0.155658 loss_vfl: 0.851993 loss_bbox: 0.321088 loss_dfl: 0.190466 loss: 1.367645 eta: 1 day, 4:20:41 batch_cost: 3.3263 data_cost: 0.0025 ips: 38.4810 images/s [10/16 15:37:42] ppdet.engine INFO: Epoch: [171] [100/229] learning_rate: 0.155479 loss_vfl: 0.854899 loss_bbox: 0.322559 loss_dfl: 0.201591 loss: 1.374148 eta: 1 day, 4:19:31 batch_cost: 3.4068 data_cost: 0.0023 ips: 37.5724 images/s [10/16 15:38:52] ppdet.engine INFO: Epoch: [171] [120/229] learning_rate: 0.155301 loss_vfl: 0.850576 loss_bbox: 0.330608 loss_dfl: 0.199203 loss: 1.376927 eta: 1 day, 4:18:20 batch_cost: 3.3633 data_cost: 0.0025 ips: 38.0577 images/s [10/16 15:40:03] ppdet.engine INFO: Epoch: [171] [140/229] learning_rate: 0.155123 loss_vfl: 0.861188 loss_bbox: 0.324859 loss_dfl: 0.197211 loss: 1.377673 eta: 1 day, 4:17:10 batch_cost: 3.4172 data_cost: 0.0026 ips: 37.4572 images/s [10/16 15:41:13] ppdet.engine INFO: Epoch: [171] [160/229] learning_rate: 0.154944 loss_vfl: 0.862224 loss_bbox: 0.323125 loss_dfl: 0.195698 loss: 1.393648 eta: 1 day, 4:15:59 batch_cost: 3.3480 data_cost: 0.0025 ips: 38.2317 images/s [10/16 15:42:22] ppdet.engine INFO: Epoch: [171] [180/229] learning_rate: 0.154766 loss_vfl: 0.867539 loss_bbox: 0.322750 loss_dfl: 0.199664 loss: 1.389156 eta: 1 day, 4:14:47 batch_cost: 3.3088 data_cost: 0.0024 ips: 38.6851 images/s [10/16 15:43:32] ppdet.engine INFO: Epoch: [171] [200/229] learning_rate: 0.154588 loss_vfl: 0.858706 loss_bbox: 0.331907 loss_dfl: 0.200509 loss: 1.380122 eta: 1 day, 4:13:36 batch_cost: 3.3458 data_cost: 0.0024 ips: 38.2570 images/s [10/16 15:44:39] ppdet.engine INFO: Epoch: [171] [220/229] learning_rate: 0.154410 loss_vfl: 0.856063 loss_bbox: 0.329838 loss_dfl: 0.205454 loss: 1.397711 eta: 1 day, 4:12:23 batch_cost: 3.2165 data_cost: 0.0023 ips: 39.7946 images/s [10/16 15:45:31] ppdet.engine INFO: Epoch: [172] [ 0/229] learning_rate: 0.154330 loss_vfl: 0.859976 loss_bbox: 0.321002 loss_dfl: 0.201222 loss: 1.382197 eta: 1 day, 4:12:04 batch_cost: 4.0306 data_cost: 0.6877 ips: 31.7573 images/s [10/16 15:46:41] ppdet.engine INFO: Epoch: [172] [ 20/229] learning_rate: 0.154152 loss_vfl: 0.849589 loss_bbox: 0.329987 loss_dfl: 0.196524 loss: 1.383538 eta: 1 day, 4:10:53 batch_cost: 3.3558 data_cost: 0.0026 ips: 38.1433 images/s [10/16 15:47:53] ppdet.engine INFO: Epoch: [172] [ 40/229] learning_rate: 0.153974 loss_vfl: 0.858100 loss_bbox: 0.318374 loss_dfl: 0.197783 loss: 1.390644 eta: 1 day, 4:09:44 batch_cost: 3.4508 data_cost: 0.0023 ips: 37.0933 images/s [10/16 15:49:04] ppdet.engine INFO: Epoch: [172] [ 60/229] learning_rate: 0.153796 loss_vfl: 0.839280 loss_bbox: 0.324439 loss_dfl: 0.200195 loss: 1.356503 eta: 1 day, 4:08:33 batch_cost: 3.4050 data_cost: 0.0023 ips: 37.5917 images/s [10/16 15:50:16] ppdet.engine INFO: Epoch: [172] [ 80/229] learning_rate: 0.153618 loss_vfl: 0.855693 loss_bbox: 0.326521 loss_dfl: 0.197370 loss: 1.395824 eta: 1 day, 4:07:24 batch_cost: 3.4513 data_cost: 0.0029 ips: 37.0879 images/s [10/16 15:51:27] ppdet.engine INFO: Epoch: [172] [100/229] learning_rate: 0.153440 loss_vfl: 0.853853 loss_bbox: 0.329303 loss_dfl: 0.194687 loss: 1.367410 eta: 1 day, 4:06:14 batch_cost: 3.4096 data_cost: 0.0025 ips: 37.5412 images/s [10/16 15:52:37] ppdet.engine INFO: Epoch: [172] [120/229] learning_rate: 0.153262 loss_vfl: 0.844130 loss_bbox: 0.312719 loss_dfl: 0.192199 loss: 1.366551 eta: 1 day, 4:05:03 batch_cost: 3.3441 data_cost: 0.0024 ips: 38.2758 images/s [10/16 15:53:50] ppdet.engine INFO: Epoch: [172] [140/229] learning_rate: 0.153084 loss_vfl: 0.858579 loss_bbox: 0.323686 loss_dfl: 0.198185 loss: 1.375440 eta: 1 day, 4:03:54 batch_cost: 3.4602 data_cost: 0.0024 ips: 36.9923 images/s [10/16 15:55:01] ppdet.engine INFO: Epoch: [172] [160/229] learning_rate: 0.152906 loss_vfl: 0.858571 loss_bbox: 0.329364 loss_dfl: 0.203192 loss: 1.390731 eta: 1 day, 4:02:44 batch_cost: 3.4383 data_cost: 0.0028 ips: 37.2279 images/s [10/16 15:56:13] ppdet.engine INFO: Epoch: [172] [180/229] learning_rate: 0.152729 loss_vfl: 0.859836 loss_bbox: 0.321197 loss_dfl: 0.198383 loss: 1.379338 eta: 1 day, 4:01:34 batch_cost: 3.4504 data_cost: 0.0026 ips: 37.0967 images/s [10/16 15:57:25] ppdet.engine INFO: Epoch: [172] [200/229] learning_rate: 0.152551 loss_vfl: 0.867719 loss_bbox: 0.322260 loss_dfl: 0.197441 loss: 1.390906 eta: 1 day, 4:00:25 batch_cost: 3.4275 data_cost: 0.0026 ips: 37.3454 images/s [10/16 15:58:34] ppdet.engine INFO: Epoch: [172] [220/229] learning_rate: 0.152373 loss_vfl: 0.860174 loss_bbox: 0.336060 loss_dfl: 0.207702 loss: 1.394288 eta: 1 day, 3:59:13 batch_cost: 3.3193 data_cost: 0.0024 ips: 38.5625 images/s [10/16 15:59:30] ppdet.engine INFO: Epoch: [173] [ 0/229] learning_rate: 0.152293 loss_vfl: 0.857240 loss_bbox: 0.338346 loss_dfl: 0.203696 loss: 1.384807 eta: 1 day, 3:58:57 batch_cost: 4.2978 data_cost: 0.3736 ips: 29.7826 images/s [10/16 16:00:40] ppdet.engine INFO: Epoch: [173] [ 20/229] learning_rate: 0.152116 loss_vfl: 0.854154 loss_bbox: 0.330779 loss_dfl: 0.201166 loss: 1.385106 eta: 1 day, 3:57:46 batch_cost: 3.3841 data_cost: 0.0027 ips: 37.8241 images/s [10/16 16:01:54] ppdet.engine INFO: Epoch: [173] [ 40/229] learning_rate: 0.151938 loss_vfl: 0.868204 loss_bbox: 0.315263 loss_dfl: 0.194680 loss: 1.375102 eta: 1 day, 3:56:37 batch_cost: 3.5109 data_cost: 0.0025 ips: 36.4579 images/s [10/16 16:03:05] ppdet.engine INFO: Epoch: [173] [ 60/229] learning_rate: 0.151761 loss_vfl: 0.839735 loss_bbox: 0.331865 loss_dfl: 0.199563 loss: 1.370197 eta: 1 day, 3:55:28 batch_cost: 3.4215 data_cost: 0.0028 ips: 37.4108 images/s [10/16 16:04:17] ppdet.engine INFO: Epoch: [173] [ 80/229] learning_rate: 0.151583 loss_vfl: 0.845472 loss_bbox: 0.329723 loss_dfl: 0.196431 loss: 1.385658 eta: 1 day, 3:54:18 batch_cost: 3.4484 data_cost: 0.0032 ips: 37.1182 images/s [10/16 16:05:28] ppdet.engine INFO: Epoch: [173] [100/229] learning_rate: 0.151406 loss_vfl: 0.856725 loss_bbox: 0.320002 loss_dfl: 0.195418 loss: 1.373018 eta: 1 day, 3:53:08 batch_cost: 3.3993 data_cost: 0.0025 ips: 37.6547 images/s [10/16 16:06:42] ppdet.engine INFO: Epoch: [173] [120/229] learning_rate: 0.151228 loss_vfl: 0.860264 loss_bbox: 0.315636 loss_dfl: 0.194239 loss: 1.367466 eta: 1 day, 3:52:00 batch_cost: 3.5346 data_cost: 0.0026 ips: 36.2134 images/s [10/16 16:07:52] ppdet.engine INFO: Epoch: [173] [140/229] learning_rate: 0.151051 loss_vfl: 0.849767 loss_bbox: 0.332282 loss_dfl: 0.205369 loss: 1.383043 eta: 1 day, 3:50:49 batch_cost: 3.3801 data_cost: 0.0027 ips: 37.8681 images/s [10/16 16:09:04] ppdet.engine INFO: Epoch: [173] [160/229] learning_rate: 0.150874 loss_vfl: 0.864350 loss_bbox: 0.336842 loss_dfl: 0.200938 loss: 1.407127 eta: 1 day, 3:49:40 batch_cost: 3.4381 data_cost: 0.0025 ips: 37.2294 images/s [10/16 16:10:16] ppdet.engine INFO: Epoch: [173] [180/229] learning_rate: 0.150696 loss_vfl: 0.859898 loss_bbox: 0.324247 loss_dfl: 0.198731 loss: 1.392696 eta: 1 day, 3:48:30 batch_cost: 3.4290 data_cost: 0.0026 ips: 37.3282 images/s [10/16 16:11:28] ppdet.engine INFO: Epoch: [173] [200/229] learning_rate: 0.150519 loss_vfl: 0.851697 loss_bbox: 0.326887 loss_dfl: 0.200634 loss: 1.367904 eta: 1 day, 3:47:20 batch_cost: 3.4530 data_cost: 0.0025 ips: 37.0690 images/s [10/16 16:12:36] ppdet.engine INFO: Epoch: [173] [220/229] learning_rate: 0.150342 loss_vfl: 0.865225 loss_bbox: 0.326513 loss_dfl: 0.198725 loss: 1.389019 eta: 1 day, 3:46:08 batch_cost: 3.2680 data_cost: 0.0023 ips: 39.1675 images/s [10/16 16:13:31] ppdet.engine INFO: Epoch: [174] [ 0/229] learning_rate: 0.150262 loss_vfl: 0.864399 loss_bbox: 0.316424 loss_dfl: 0.193914 loss: 1.391242 eta: 1 day, 3:45:51 batch_cost: 4.1746 data_cost: 0.6922 ips: 30.6615 images/s [10/16 16:14:46] ppdet.engine INFO: Epoch: [174] [ 20/229] learning_rate: 0.150085 loss_vfl: 0.857301 loss_bbox: 0.326643 loss_dfl: 0.200858 loss: 1.385633 eta: 1 day, 3:44:43 batch_cost: 3.5817 data_cost: 0.0032 ips: 35.7376 images/s [10/16 16:15:59] ppdet.engine INFO: Epoch: [174] [ 40/229] learning_rate: 0.149908 loss_vfl: 0.857953 loss_bbox: 0.323400 loss_dfl: 0.202407 loss: 1.365649 eta: 1 day, 3:43:34 batch_cost: 3.4822 data_cost: 0.0032 ips: 36.7589 images/s [10/16 16:17:09] ppdet.engine INFO: Epoch: [174] [ 60/229] learning_rate: 0.149731 loss_vfl: 0.851641 loss_bbox: 0.318906 loss_dfl: 0.193703 loss: 1.376374 eta: 1 day, 3:42:24 batch_cost: 3.3871 data_cost: 0.0028 ips: 37.7906 images/s [10/16 16:18:21] ppdet.engine INFO: Epoch: [174] [ 80/229] learning_rate: 0.149554 loss_vfl: 0.846945 loss_bbox: 0.323130 loss_dfl: 0.200054 loss: 1.382905 eta: 1 day, 3:41:13 batch_cost: 3.3885 data_cost: 0.0028 ips: 37.7751 images/s [10/16 16:19:32] ppdet.engine INFO: Epoch: [174] [100/229] learning_rate: 0.149377 loss_vfl: 0.857643 loss_bbox: 0.320322 loss_dfl: 0.198628 loss: 1.385829 eta: 1 day, 3:40:03 batch_cost: 3.4135 data_cost: 0.0025 ips: 37.4987 images/s [10/16 16:20:44] ppdet.engine INFO: Epoch: [174] [120/229] learning_rate: 0.149200 loss_vfl: 0.861973 loss_bbox: 0.317765 loss_dfl: 0.198126 loss: 1.382053 eta: 1 day, 3:38:54 batch_cost: 3.4552 data_cost: 0.0027 ips: 37.0455 images/s [10/16 16:21:55] ppdet.engine INFO: Epoch: [174] [140/229] learning_rate: 0.149023 loss_vfl: 0.860329 loss_bbox: 0.331958 loss_dfl: 0.205522 loss: 1.399918 eta: 1 day, 3:37:43 batch_cost: 3.3919 data_cost: 0.0028 ips: 37.7373 images/s [10/16 16:23:07] ppdet.engine INFO: Epoch: [174] [160/229] learning_rate: 0.148846 loss_vfl: 0.856020 loss_bbox: 0.319344 loss_dfl: 0.201003 loss: 1.364039 eta: 1 day, 3:36:34 batch_cost: 3.4438 data_cost: 0.0027 ips: 37.1685 images/s [10/16 16:24:20] ppdet.engine INFO: Epoch: [174] [180/229] learning_rate: 0.148669 loss_vfl: 0.858904 loss_bbox: 0.329342 loss_dfl: 0.202251 loss: 1.380569 eta: 1 day, 3:35:26 batch_cost: 3.5287 data_cost: 0.0026 ips: 36.2742 images/s [10/16 16:25:32] ppdet.engine INFO: Epoch: [174] [200/229] learning_rate: 0.148492 loss_vfl: 0.849308 loss_bbox: 0.322300 loss_dfl: 0.198073 loss: 1.395508 eta: 1 day, 3:34:16 batch_cost: 3.4369 data_cost: 0.0025 ips: 37.2433 images/s [10/16 16:26:41] ppdet.engine INFO: Epoch: [174] [220/229] learning_rate: 0.148316 loss_vfl: 0.867895 loss_bbox: 0.334791 loss_dfl: 0.200882 loss: 1.391805 eta: 1 day, 3:33:04 batch_cost: 3.2800 data_cost: 0.0026 ips: 39.0241 images/s [10/16 16:27:34] ppdet.engine INFO: Epoch: [175] [ 0/229] learning_rate: 0.148236 loss_vfl: 0.867947 loss_bbox: 0.334647 loss_dfl: 0.204483 loss: 1.398842 eta: 1 day, 3:32:45 batch_cost: 4.1940 data_cost: 0.4704 ips: 30.5200 images/s [10/16 16:28:47] ppdet.engine INFO: Epoch: [175] [ 20/229] learning_rate: 0.148060 loss_vfl: 0.849525 loss_bbox: 0.323521 loss_dfl: 0.199159 loss: 1.368722 eta: 1 day, 3:31:36 batch_cost: 3.4754 data_cost: 0.0025 ips: 36.8305 images/s [10/16 16:29:57] ppdet.engine INFO: Epoch: [175] [ 40/229] learning_rate: 0.147883 loss_vfl: 0.852294 loss_bbox: 0.338080 loss_dfl: 0.207828 loss: 1.396709 eta: 1 day, 3:30:25 batch_cost: 3.3541 data_cost: 0.0024 ips: 38.1623 images/s [10/16 16:31:08] ppdet.engine INFO: Epoch: [175] [ 60/229] learning_rate: 0.147706 loss_vfl: 0.868059 loss_bbox: 0.327723 loss_dfl: 0.197331 loss: 1.394729 eta: 1 day, 3:29:15 batch_cost: 3.4060 data_cost: 0.0025 ips: 37.5803 images/s [10/16 16:32:19] ppdet.engine INFO: Epoch: [175] [ 80/229] learning_rate: 0.147530 loss_vfl: 0.864800 loss_bbox: 0.327142 loss_dfl: 0.200351 loss: 1.396247 eta: 1 day, 3:28:05 batch_cost: 3.4347 data_cost: 0.0024 ips: 37.2666 images/s [10/16 16:33:32] ppdet.engine INFO: Epoch: [175] [100/229] learning_rate: 0.147353 loss_vfl: 0.845508 loss_bbox: 0.332508 loss_dfl: 0.197168 loss: 1.385057 eta: 1 day, 3:26:56 batch_cost: 3.4781 data_cost: 0.0024 ips: 36.8022 images/s [10/16 16:34:44] ppdet.engine INFO: Epoch: [175] [120/229] learning_rate: 0.147177 loss_vfl: 0.849069 loss_bbox: 0.325622 loss_dfl: 0.200394 loss: 1.382508 eta: 1 day, 3:25:47 batch_cost: 3.4408 data_cost: 0.0025 ips: 37.2003 images/s [10/16 16:35:55] ppdet.engine INFO: Epoch: [175] [140/229] learning_rate: 0.147000 loss_vfl: 0.861948 loss_bbox: 0.317072 loss_dfl: 0.193979 loss: 1.373422 eta: 1 day, 3:24:37 batch_cost: 3.4120 data_cost: 0.0025 ips: 37.5148 images/s [10/16 16:37:05] ppdet.engine INFO: Epoch: [175] [160/229] learning_rate: 0.146824 loss_vfl: 0.864201 loss_bbox: 0.331747 loss_dfl: 0.199809 loss: 1.383237 eta: 1 day, 3:23:26 batch_cost: 3.3716 data_cost: 0.0024 ips: 37.9641 images/s [10/16 16:38:17] ppdet.engine INFO: Epoch: [175] [180/229] learning_rate: 0.146648 loss_vfl: 0.861225 loss_bbox: 0.315302 loss_dfl: 0.196179 loss: 1.352795 eta: 1 day, 3:22:16 batch_cost: 3.4298 data_cost: 0.0024 ips: 37.3194 images/s [10/16 16:39:27] ppdet.engine INFO: Epoch: [175] [200/229] learning_rate: 0.146472 loss_vfl: 0.864098 loss_bbox: 0.314725 loss_dfl: 0.194820 loss: 1.376383 eta: 1 day, 3:21:06 batch_cost: 3.3794 data_cost: 0.0024 ips: 37.8769 images/s [10/16 16:40:35] ppdet.engine INFO: Epoch: [175] [220/229] learning_rate: 0.146295 loss_vfl: 0.843304 loss_bbox: 0.329148 loss_dfl: 0.201153 loss: 1.386931 eta: 1 day, 3:19:53 batch_cost: 3.2150 data_cost: 0.0023 ips: 39.8131 images/s [10/16 16:41:28] ppdet.engine INFO: Epoch: [176] [ 0/229] learning_rate: 0.146216 loss_vfl: 0.851833 loss_bbox: 0.343600 loss_dfl: 0.203019 loss: 1.388646 eta: 1 day, 3:19:35 batch_cost: 4.2255 data_cost: 0.5076 ips: 30.2922 images/s [10/16 16:42:40] ppdet.engine INFO: Epoch: [176] [ 20/229] learning_rate: 0.146040 loss_vfl: 0.845122 loss_bbox: 0.311121 loss_dfl: 0.198692 loss: 1.374654 eta: 1 day, 3:18:25 batch_cost: 3.4466 data_cost: 0.0027 ips: 37.1376 images/s [10/16 16:43:52] ppdet.engine INFO: Epoch: [176] [ 40/229] learning_rate: 0.145864 loss_vfl: 0.857663 loss_bbox: 0.330020 loss_dfl: 0.202993 loss: 1.392260 eta: 1 day, 3:17:16 batch_cost: 3.4728 data_cost: 0.0027 ips: 36.8577 images/s [10/16 16:45:03] ppdet.engine INFO: Epoch: [176] [ 60/229] learning_rate: 0.145688 loss_vfl: 0.839642 loss_bbox: 0.330163 loss_dfl: 0.201199 loss: 1.388392 eta: 1 day, 3:16:06 batch_cost: 3.3838 data_cost: 0.0028 ips: 37.8276 images/s [10/16 16:46:14] ppdet.engine INFO: Epoch: [176] [ 80/229] learning_rate: 0.145512 loss_vfl: 0.852055 loss_bbox: 0.315152 loss_dfl: 0.195383 loss: 1.367278 eta: 1 day, 3:14:56 batch_cost: 3.3952 data_cost: 0.0025 ips: 37.7008 images/s [10/16 16:47:25] ppdet.engine INFO: Epoch: [176] [100/229] learning_rate: 0.145336 loss_vfl: 0.850393 loss_bbox: 0.325357 loss_dfl: 0.195775 loss: 1.366766 eta: 1 day, 3:13:46 batch_cost: 3.4170 data_cost: 0.0025 ips: 37.4598 images/s [10/16 16:48:35] ppdet.engine INFO: Epoch: [176] [120/229] learning_rate: 0.145160 loss_vfl: 0.855110 loss_bbox: 0.330366 loss_dfl: 0.207591 loss: 1.387102 eta: 1 day, 3:12:35 batch_cost: 3.3390 data_cost: 0.0026 ips: 38.3348 images/s [10/16 16:49:46] ppdet.engine INFO: Epoch: [176] [140/229] learning_rate: 0.144984 loss_vfl: 0.863103 loss_bbox: 0.338042 loss_dfl: 0.203248 loss: 1.391142 eta: 1 day, 3:11:24 batch_cost: 3.3929 data_cost: 0.0025 ips: 37.7262 images/s [10/16 16:50:58] ppdet.engine INFO: Epoch: [176] [160/229] learning_rate: 0.144808 loss_vfl: 0.850276 loss_bbox: 0.317741 loss_dfl: 0.194648 loss: 1.390381 eta: 1 day, 3:10:15 batch_cost: 3.4388 data_cost: 0.0024 ips: 37.2228 images/s [10/16 16:52:07] ppdet.engine INFO: Epoch: [176] [180/229] learning_rate: 0.144632 loss_vfl: 0.862413 loss_bbox: 0.320624 loss_dfl: 0.196467 loss: 1.369241 eta: 1 day, 3:09:03 batch_cost: 3.3233 data_cost: 0.0025 ips: 38.5160 images/s [10/16 16:53:18] ppdet.engine INFO: Epoch: [176] [200/229] learning_rate: 0.144457 loss_vfl: 0.867464 loss_bbox: 0.333224 loss_dfl: 0.203227 loss: 1.400073 eta: 1 day, 3:07:53 batch_cost: 3.3772 data_cost: 0.0024 ips: 37.9007 images/s [10/16 16:54:26] ppdet.engine INFO: Epoch: [176] [220/229] learning_rate: 0.144281 loss_vfl: 0.847799 loss_bbox: 0.315705 loss_dfl: 0.191546 loss: 1.362120 eta: 1 day, 3:06:41 batch_cost: 3.2438 data_cost: 0.0025 ips: 39.4594 images/s [10/16 16:55:24] ppdet.engine INFO: Epoch: [177] [ 0/229] learning_rate: 0.144202 loss_vfl: 0.843402 loss_bbox: 0.321057 loss_dfl: 0.192619 loss: 1.362120 eta: 1 day, 3:06:24 batch_cost: 4.3697 data_cost: 0.3109 ips: 29.2923 images/s [10/16 16:56:37] ppdet.engine INFO: Epoch: [177] [ 20/229] learning_rate: 0.144026 loss_vfl: 0.844155 loss_bbox: 0.317966 loss_dfl: 0.195953 loss: 1.362479 eta: 1 day, 3:05:15 batch_cost: 3.4827 data_cost: 0.0026 ips: 36.7528 images/s [10/16 16:57:47] ppdet.engine INFO: Epoch: [177] [ 40/229] learning_rate: 0.143851 loss_vfl: 0.856816 loss_bbox: 0.326478 loss_dfl: 0.204782 loss: 1.396453 eta: 1 day, 3:04:05 batch_cost: 3.3688 data_cost: 0.0024 ips: 37.9962 images/s [10/16 16:58:58] ppdet.engine INFO: Epoch: [177] [ 60/229] learning_rate: 0.143675 loss_vfl: 0.853393 loss_bbox: 0.331115 loss_dfl: 0.198098 loss: 1.389437 eta: 1 day, 3:02:55 batch_cost: 3.4099 data_cost: 0.0025 ips: 37.5383 images/s [10/16 17:00:09] ppdet.engine INFO: Epoch: [177] [ 80/229] learning_rate: 0.143500 loss_vfl: 0.856523 loss_bbox: 0.310573 loss_dfl: 0.196905 loss: 1.369453 eta: 1 day, 3:01:44 batch_cost: 3.3849 data_cost: 0.0025 ips: 37.8152 images/s [10/16 17:01:18] ppdet.engine INFO: Epoch: [177] [100/229] learning_rate: 0.143324 loss_vfl: 0.848642 loss_bbox: 0.331276 loss_dfl: 0.200663 loss: 1.392776 eta: 1 day, 3:00:33 batch_cost: 3.3033 data_cost: 0.0024 ips: 38.7488 images/s [10/16 17:02:28] ppdet.engine INFO: Epoch: [177] [120/229] learning_rate: 0.143149 loss_vfl: 0.864849 loss_bbox: 0.327724 loss_dfl: 0.198387 loss: 1.395580 eta: 1 day, 2:59:22 batch_cost: 3.3701 data_cost: 0.0024 ips: 37.9810 images/s [10/16 17:03:39] ppdet.engine INFO: Epoch: [177] [140/229] learning_rate: 0.142973 loss_vfl: 0.858254 loss_bbox: 0.315236 loss_dfl: 0.198581 loss: 1.396047 eta: 1 day, 2:58:12 batch_cost: 3.3987 data_cost: 0.0031 ips: 37.6612 images/s [10/16 17:04:52] ppdet.engine INFO: Epoch: [177] [160/229] learning_rate: 0.142798 loss_vfl: 0.849962 loss_bbox: 0.324027 loss_dfl: 0.199800 loss: 1.381403 eta: 1 day, 2:57:03 batch_cost: 3.4768 data_cost: 0.0031 ips: 36.8157 images/s [10/16 17:06:04] ppdet.engine INFO: Epoch: [177] [180/229] learning_rate: 0.142623 loss_vfl: 0.851998 loss_bbox: 0.337407 loss_dfl: 0.207208 loss: 1.403573 eta: 1 day, 2:55:53 batch_cost: 3.4354 data_cost: 0.0025 ips: 37.2589 images/s [10/16 17:07:14] ppdet.engine INFO: Epoch: [177] [200/229] learning_rate: 0.142448 loss_vfl: 0.861368 loss_bbox: 0.336010 loss_dfl: 0.203732 loss: 1.388317 eta: 1 day, 2:54:43 batch_cost: 3.3658 data_cost: 0.0025 ips: 38.0295 images/s [10/16 17:08:21] ppdet.engine INFO: Epoch: [177] [220/229] learning_rate: 0.142272 loss_vfl: 0.846914 loss_bbox: 0.333004 loss_dfl: 0.193905 loss: 1.369302 eta: 1 day, 2:53:30 batch_cost: 3.2106 data_cost: 0.0031 ips: 39.8679 images/s [10/16 17:09:15] ppdet.engine INFO: Epoch: [178] [ 0/229] learning_rate: 0.142194 loss_vfl: 0.835382 loss_bbox: 0.336131 loss_dfl: 0.194688 loss: 1.363128 eta: 1 day, 2:53:11 batch_cost: 4.1604 data_cost: 0.7103 ips: 30.7661 images/s [10/16 17:10:27] ppdet.engine INFO: Epoch: [178] [ 20/229] learning_rate: 0.142019 loss_vfl: 0.847598 loss_bbox: 0.324070 loss_dfl: 0.203118 loss: 1.365107 eta: 1 day, 2:52:01 batch_cost: 3.4235 data_cost: 0.0026 ips: 37.3891 images/s [10/16 17:11:39] ppdet.engine INFO: Epoch: [178] [ 40/229] learning_rate: 0.141844 loss_vfl: 0.860658 loss_bbox: 0.331590 loss_dfl: 0.202206 loss: 1.397531 eta: 1 day, 2:50:51 batch_cost: 3.4397 data_cost: 0.0025 ips: 37.2126 images/s [10/16 17:12:49] ppdet.engine INFO: Epoch: [178] [ 60/229] learning_rate: 0.141669 loss_vfl: 0.852183 loss_bbox: 0.322030 loss_dfl: 0.198985 loss: 1.362882 eta: 1 day, 2:49:41 batch_cost: 3.3735 data_cost: 0.0025 ips: 37.9428 images/s [10/16 17:14:00] ppdet.engine INFO: Epoch: [178] [ 80/229] learning_rate: 0.141494 loss_vfl: 0.839212 loss_bbox: 0.343067 loss_dfl: 0.210247 loss: 1.384612 eta: 1 day, 2:48:31 batch_cost: 3.3840 data_cost: 0.0025 ips: 37.8246 images/s [10/16 17:15:10] ppdet.engine INFO: Epoch: [178] [100/229] learning_rate: 0.141319 loss_vfl: 0.850517 loss_bbox: 0.317435 loss_dfl: 0.193162 loss: 1.359492 eta: 1 day, 2:47:20 batch_cost: 3.3798 data_cost: 0.0028 ips: 37.8723 images/s [10/16 17:16:21] ppdet.engine INFO: Epoch: [178] [120/229] learning_rate: 0.141144 loss_vfl: 0.861274 loss_bbox: 0.331796 loss_dfl: 0.204093 loss: 1.391178 eta: 1 day, 2:46:10 batch_cost: 3.3782 data_cost: 0.0035 ips: 37.8905 images/s [10/16 17:17:31] ppdet.engine INFO: Epoch: [178] [140/229] learning_rate: 0.140969 loss_vfl: 0.871605 loss_bbox: 0.323798 loss_dfl: 0.201507 loss: 1.381483 eta: 1 day, 2:44:59 batch_cost: 3.3366 data_cost: 0.0036 ips: 38.3627 images/s [10/16 17:18:42] ppdet.engine INFO: Epoch: [178] [160/229] learning_rate: 0.140794 loss_vfl: 0.854542 loss_bbox: 0.332517 loss_dfl: 0.195711 loss: 1.382084 eta: 1 day, 2:43:49 batch_cost: 3.4163 data_cost: 0.0025 ips: 37.4673 images/s [10/16 17:19:54] ppdet.engine INFO: Epoch: [178] [180/229] learning_rate: 0.140620 loss_vfl: 0.858609 loss_bbox: 0.324400 loss_dfl: 0.200101 loss: 1.377540 eta: 1 day, 2:42:39 batch_cost: 3.4374 data_cost: 0.0024 ips: 37.2369 images/s [10/16 17:21:04] ppdet.engine INFO: Epoch: [178] [200/229] learning_rate: 0.140445 loss_vfl: 0.851529 loss_bbox: 0.329789 loss_dfl: 0.198150 loss: 1.373143 eta: 1 day, 2:41:29 batch_cost: 3.3826 data_cost: 0.0025 ips: 37.8409 images/s [10/16 17:22:11] ppdet.engine INFO: Epoch: [178] [220/229] learning_rate: 0.140270 loss_vfl: 0.853290 loss_bbox: 0.316491 loss_dfl: 0.196839 loss: 1.353692 eta: 1 day, 2:40:16 batch_cost: 3.1942 data_cost: 0.0028 ips: 40.0726 images/s [10/16 17:23:04] ppdet.engine INFO: Epoch: [179] [ 0/229] learning_rate: 0.140192 loss_vfl: 0.857212 loss_bbox: 0.308610 loss_dfl: 0.194937 loss: 1.358574 eta: 1 day, 2:39:56 batch_cost: 4.0785 data_cost: 0.6193 ips: 31.3844 images/s [10/16 17:24:16] ppdet.engine INFO: Epoch: [179] [ 20/229] learning_rate: 0.140017 loss_vfl: 0.849881 loss_bbox: 0.325200 loss_dfl: 0.200960 loss: 1.385407 eta: 1 day, 2:38:46 batch_cost: 3.4376 data_cost: 0.0032 ips: 37.2354 images/s [10/16 17:25:26] ppdet.engine INFO: Epoch: [179] [ 40/229] learning_rate: 0.139843 loss_vfl: 0.846112 loss_bbox: 0.330004 loss_dfl: 0.196744 loss: 1.377733 eta: 1 day, 2:37:36 batch_cost: 3.3813 data_cost: 0.0025 ips: 37.8550 images/s [10/16 17:26:37] ppdet.engine INFO: Epoch: [179] [ 60/229] learning_rate: 0.139668 loss_vfl: 0.848094 loss_bbox: 0.333541 loss_dfl: 0.202056 loss: 1.372262 eta: 1 day, 2:36:26 batch_cost: 3.3830 data_cost: 0.0025 ips: 37.8357 images/s [10/16 17:27:48] ppdet.engine INFO: Epoch: [179] [ 80/229] learning_rate: 0.139494 loss_vfl: 0.858685 loss_bbox: 0.325551 loss_dfl: 0.197419 loss: 1.379497 eta: 1 day, 2:35:16 batch_cost: 3.4227 data_cost: 0.0025 ips: 37.3974 images/s [10/16 17:28:59] ppdet.engine INFO: Epoch: [179] [100/229] learning_rate: 0.139320 loss_vfl: 0.866334 loss_bbox: 0.327066 loss_dfl: 0.200406 loss: 1.380513 eta: 1 day, 2:34:05 batch_cost: 3.3817 data_cost: 0.0024 ips: 37.8504 images/s [10/16 17:30:11] ppdet.engine INFO: Epoch: [179] [120/229] learning_rate: 0.139145 loss_vfl: 0.856299 loss_bbox: 0.307798 loss_dfl: 0.195100 loss: 1.367312 eta: 1 day, 2:32:56 batch_cost: 3.4301 data_cost: 0.0026 ips: 37.3167 images/s [10/16 17:31:22] ppdet.engine INFO: Epoch: [179] [140/229] learning_rate: 0.138971 loss_vfl: 0.844711 loss_bbox: 0.327763 loss_dfl: 0.203073 loss: 1.374196 eta: 1 day, 2:31:46 batch_cost: 3.4287 data_cost: 0.0024 ips: 37.3320 images/s [10/16 17:32:32] ppdet.engine INFO: Epoch: [179] [160/229] learning_rate: 0.138797 loss_vfl: 0.835403 loss_bbox: 0.326150 loss_dfl: 0.196968 loss: 1.356251 eta: 1 day, 2:30:35 batch_cost: 3.3604 data_cost: 0.0025 ips: 38.0909 images/s [10/16 17:33:41] ppdet.engine INFO: Epoch: [179] [180/229] learning_rate: 0.138623 loss_vfl: 0.859926 loss_bbox: 0.334870 loss_dfl: 0.204700 loss: 1.403814 eta: 1 day, 2:29:24 batch_cost: 3.3147 data_cost: 0.0024 ips: 38.6156 images/s [10/16 17:34:51] ppdet.engine INFO: Epoch: [179] [200/229] learning_rate: 0.138449 loss_vfl: 0.859804 loss_bbox: 0.335592 loss_dfl: 0.203734 loss: 1.390570 eta: 1 day, 2:28:13 batch_cost: 3.3181 data_cost: 0.0038 ips: 38.5762 images/s [10/16 17:36:01] ppdet.engine INFO: Epoch: [179] [220/229] learning_rate: 0.138275 loss_vfl: 0.856795 loss_bbox: 0.337574 loss_dfl: 0.209299 loss: 1.409007 eta: 1 day, 2:27:02 batch_cost: 3.3306 data_cost: 0.0034 ips: 38.4319 images/s [10/16 17:36:28] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 17:36:28] ppdet.engine INFO: Eval iter: 0 [10/16 17:37:07] ppdet.engine INFO: Eval iter: 100 [10/16 17:37:29] ppdet.engine INFO: Eval iter: 200 [10/16 17:37:52] ppdet.engine INFO: Eval iter: 300 [10/16 17:38:14] ppdet.engine INFO: Eval iter: 400 [10/16 17:38:36] ppdet.engine INFO: Eval iter: 500 [10/16 17:38:58] ppdet.engine INFO: Eval iter: 600 [10/16 17:39:19] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.64s) creating index... index created! [10/16 17:39:20] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.66s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=95.53s). Accumulating evaluation results... DONE (t=16.74s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.264 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.404 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.276 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.078 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.263 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.459 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.252 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.389 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.416 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.136 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.682 [10/16 17:41:19] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.636180067386665 [10/16 17:41:19] ppdet.engine INFO: Best test bbox ap is 0.264. [10/16 17:41:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 17:41:22] ppdet.engine INFO: Epoch: [180] [ 0/229] learning_rate: 0.138197 loss_vfl: 0.855258 loss_bbox: 0.332832 loss_dfl: 0.208154 loss: 1.421384 eta: 1 day, 2:26:27 batch_cost: 3.0492 data_cost: 0.0025 ips: 41.9786 images/s [10/16 17:42:34] ppdet.engine INFO: Epoch: [180] [ 20/229] learning_rate: 0.138023 loss_vfl: 0.839385 loss_bbox: 0.320466 loss_dfl: 0.201384 loss: 1.363048 eta: 1 day, 2:25:18 batch_cost: 3.4748 data_cost: 0.0028 ips: 36.8365 images/s [10/16 17:43:45] ppdet.engine INFO: Epoch: [180] [ 40/229] learning_rate: 0.137849 loss_vfl: 0.848070 loss_bbox: 0.330343 loss_dfl: 0.203702 loss: 1.379540 eta: 1 day, 2:24:07 batch_cost: 3.3987 data_cost: 0.0025 ips: 37.6614 images/s [10/16 17:44:56] ppdet.engine INFO: Epoch: [180] [ 60/229] learning_rate: 0.137675 loss_vfl: 0.845233 loss_bbox: 0.311092 loss_dfl: 0.190996 loss: 1.347304 eta: 1 day, 2:22:57 batch_cost: 3.3804 data_cost: 0.0029 ips: 37.8652 images/s [10/16 17:46:07] ppdet.engine INFO: Epoch: [180] [ 80/229] learning_rate: 0.137501 loss_vfl: 0.844054 loss_bbox: 0.320392 loss_dfl: 0.204230 loss: 1.375024 eta: 1 day, 2:21:47 batch_cost: 3.4045 data_cost: 0.0025 ips: 37.5976 images/s [10/16 17:47:19] ppdet.engine INFO: Epoch: [180] [100/229] learning_rate: 0.137327 loss_vfl: 0.855668 loss_bbox: 0.311713 loss_dfl: 0.195725 loss: 1.380639 eta: 1 day, 2:20:37 batch_cost: 3.4459 data_cost: 0.0024 ips: 37.1451 images/s [10/16 17:48:30] ppdet.engine INFO: Epoch: [180] [120/229] learning_rate: 0.137154 loss_vfl: 0.857359 loss_bbox: 0.332122 loss_dfl: 0.202815 loss: 1.385365 eta: 1 day, 2:19:27 batch_cost: 3.4079 data_cost: 0.0026 ips: 37.5595 images/s [10/16 17:49:40] ppdet.engine INFO: Epoch: [180] [140/229] learning_rate: 0.136980 loss_vfl: 0.858011 loss_bbox: 0.330724 loss_dfl: 0.199423 loss: 1.381233 eta: 1 day, 2:18:17 batch_cost: 3.3535 data_cost: 0.0025 ips: 38.1691 images/s [10/16 17:50:52] ppdet.engine INFO: Epoch: [180] [160/229] learning_rate: 0.136807 loss_vfl: 0.852728 loss_bbox: 0.317589 loss_dfl: 0.194834 loss: 1.364454 eta: 1 day, 2:17:07 batch_cost: 3.4614 data_cost: 0.0032 ips: 36.9793 images/s [10/16 17:52:05] ppdet.engine INFO: Epoch: [180] [180/229] learning_rate: 0.136633 loss_vfl: 0.853807 loss_bbox: 0.314900 loss_dfl: 0.192209 loss: 1.364489 eta: 1 day, 2:15:58 batch_cost: 3.4687 data_cost: 0.0024 ips: 36.9019 images/s [10/16 17:53:16] ppdet.engine INFO: Epoch: [180] [200/229] learning_rate: 0.136460 loss_vfl: 0.845004 loss_bbox: 0.326573 loss_dfl: 0.197761 loss: 1.380907 eta: 1 day, 2:14:48 batch_cost: 3.4069 data_cost: 0.0025 ips: 37.5710 images/s [10/16 17:54:23] ppdet.engine INFO: Epoch: [180] [220/229] learning_rate: 0.136286 loss_vfl: 0.865665 loss_bbox: 0.314778 loss_dfl: 0.197828 loss: 1.369492 eta: 1 day, 2:13:36 batch_cost: 3.2264 data_cost: 0.0026 ips: 39.6721 images/s [10/16 17:55:19] ppdet.engine INFO: Epoch: [181] [ 0/229] learning_rate: 0.136208 loss_vfl: 0.852406 loss_bbox: 0.328199 loss_dfl: 0.197828 loss: 1.369197 eta: 1 day, 2:13:17 batch_cost: 4.2061 data_cost: 0.7916 ips: 30.4323 images/s [10/16 17:56:31] ppdet.engine INFO: Epoch: [181] [ 20/229] learning_rate: 0.136035 loss_vfl: 0.843031 loss_bbox: 0.335341 loss_dfl: 0.199345 loss: 1.370856 eta: 1 day, 2:12:08 batch_cost: 3.4528 data_cost: 0.0029 ips: 37.0712 images/s [10/16 17:57:41] ppdet.engine INFO: Epoch: [181] [ 40/229] learning_rate: 0.135862 loss_vfl: 0.856406 loss_bbox: 0.318119 loss_dfl: 0.198821 loss: 1.376974 eta: 1 day, 2:10:57 batch_cost: 3.3605 data_cost: 0.0025 ips: 38.0892 images/s [10/16 17:58:50] ppdet.engine INFO: Epoch: [181] [ 60/229] learning_rate: 0.135688 loss_vfl: 0.846078 loss_bbox: 0.320128 loss_dfl: 0.193991 loss: 1.354355 eta: 1 day, 2:09:46 batch_cost: 3.3420 data_cost: 0.0024 ips: 38.3004 images/s [10/16 18:00:01] ppdet.engine INFO: Epoch: [181] [ 80/229] learning_rate: 0.135515 loss_vfl: 0.848677 loss_bbox: 0.308523 loss_dfl: 0.192400 loss: 1.362976 eta: 1 day, 2:08:36 batch_cost: 3.3802 data_cost: 0.0025 ips: 37.8673 images/s [10/16 18:01:13] ppdet.engine INFO: Epoch: [181] [100/229] learning_rate: 0.135342 loss_vfl: 0.857119 loss_bbox: 0.329394 loss_dfl: 0.198643 loss: 1.359081 eta: 1 day, 2:07:26 batch_cost: 3.4318 data_cost: 0.0029 ips: 37.2980 images/s [10/16 18:02:23] ppdet.engine INFO: Epoch: [181] [120/229] learning_rate: 0.135169 loss_vfl: 0.837980 loss_bbox: 0.338205 loss_dfl: 0.203868 loss: 1.393875 eta: 1 day, 2:06:16 batch_cost: 3.3897 data_cost: 0.0025 ips: 37.7616 images/s [10/16 18:03:34] ppdet.engine INFO: Epoch: [181] [140/229] learning_rate: 0.134996 loss_vfl: 0.853447 loss_bbox: 0.338525 loss_dfl: 0.202098 loss: 1.381541 eta: 1 day, 2:05:06 batch_cost: 3.4045 data_cost: 0.0025 ips: 37.5978 images/s [10/16 18:04:45] ppdet.engine INFO: Epoch: [181] [160/229] learning_rate: 0.134823 loss_vfl: 0.854759 loss_bbox: 0.320769 loss_dfl: 0.201228 loss: 1.381064 eta: 1 day, 2:03:56 batch_cost: 3.3964 data_cost: 0.0031 ips: 37.6866 images/s [10/16 18:05:58] ppdet.engine INFO: Epoch: [181] [180/229] learning_rate: 0.134650 loss_vfl: 0.864221 loss_bbox: 0.314223 loss_dfl: 0.198366 loss: 1.394219 eta: 1 day, 2:02:46 batch_cost: 3.4567 data_cost: 0.0026 ips: 37.0293 images/s [10/16 18:07:09] ppdet.engine INFO: Epoch: [181] [200/229] learning_rate: 0.134477 loss_vfl: 0.852351 loss_bbox: 0.322442 loss_dfl: 0.198578 loss: 1.382933 eta: 1 day, 2:01:36 batch_cost: 3.3893 data_cost: 0.0029 ips: 37.7655 images/s [10/16 18:08:17] ppdet.engine INFO: Epoch: [181] [220/229] learning_rate: 0.134304 loss_vfl: 0.849364 loss_bbox: 0.330658 loss_dfl: 0.203285 loss: 1.375062 eta: 1 day, 2:00:24 batch_cost: 3.2744 data_cost: 0.0024 ips: 39.0907 images/s [10/16 18:09:11] ppdet.engine INFO: Epoch: [182] [ 0/229] learning_rate: 0.134227 loss_vfl: 0.853895 loss_bbox: 0.328239 loss_dfl: 0.201239 loss: 1.379675 eta: 1 day, 2:00:05 batch_cost: 4.2432 data_cost: 0.8286 ips: 30.1663 images/s [10/16 18:10:25] ppdet.engine INFO: Epoch: [182] [ 20/229] learning_rate: 0.134054 loss_vfl: 0.853729 loss_bbox: 0.320213 loss_dfl: 0.199766 loss: 1.375311 eta: 1 day, 1:58:57 batch_cost: 3.5599 data_cost: 0.0025 ips: 35.9557 images/s [10/16 18:11:39] ppdet.engine INFO: Epoch: [182] [ 40/229] learning_rate: 0.133881 loss_vfl: 0.849842 loss_bbox: 0.319496 loss_dfl: 0.192654 loss: 1.373126 eta: 1 day, 1:57:49 batch_cost: 3.5207 data_cost: 0.0025 ips: 36.3567 images/s [10/16 18:12:51] ppdet.engine INFO: Epoch: [182] [ 60/229] learning_rate: 0.133709 loss_vfl: 0.859939 loss_bbox: 0.325523 loss_dfl: 0.207195 loss: 1.397000 eta: 1 day, 1:56:39 batch_cost: 3.4712 data_cost: 0.0025 ips: 36.8746 images/s [10/16 18:14:02] ppdet.engine INFO: Epoch: [182] [ 80/229] learning_rate: 0.133536 loss_vfl: 0.850413 loss_bbox: 0.316653 loss_dfl: 0.199471 loss: 1.363084 eta: 1 day, 1:55:29 batch_cost: 3.4174 data_cost: 0.0026 ips: 37.4559 images/s [10/16 18:15:15] ppdet.engine INFO: Epoch: [182] [100/229] learning_rate: 0.133364 loss_vfl: 0.852295 loss_bbox: 0.331711 loss_dfl: 0.207424 loss: 1.397447 eta: 1 day, 1:54:21 batch_cost: 3.4940 data_cost: 0.0026 ips: 36.6340 images/s [10/16 18:16:26] ppdet.engine INFO: Epoch: [182] [120/229] learning_rate: 0.133191 loss_vfl: 0.853631 loss_bbox: 0.337582 loss_dfl: 0.208737 loss: 1.385047 eta: 1 day, 1:53:11 batch_cost: 3.4130 data_cost: 0.0029 ips: 37.5041 images/s [10/16 18:17:37] ppdet.engine INFO: Epoch: [182] [140/229] learning_rate: 0.133019 loss_vfl: 0.840493 loss_bbox: 0.329537 loss_dfl: 0.196441 loss: 1.368560 eta: 1 day, 1:52:00 batch_cost: 3.3963 data_cost: 0.0031 ips: 37.6880 images/s [10/16 18:18:48] ppdet.engine INFO: Epoch: [182] [160/229] learning_rate: 0.132847 loss_vfl: 0.857228 loss_bbox: 0.324386 loss_dfl: 0.199014 loss: 1.373083 eta: 1 day, 1:50:50 batch_cost: 3.4089 data_cost: 0.0024 ips: 37.5487 images/s [10/16 18:20:01] ppdet.engine INFO: Epoch: [182] [180/229] learning_rate: 0.132674 loss_vfl: 0.835387 loss_bbox: 0.321784 loss_dfl: 0.198108 loss: 1.365432 eta: 1 day, 1:49:41 batch_cost: 3.4569 data_cost: 0.0026 ips: 37.0273 images/s [10/16 18:21:12] ppdet.engine INFO: Epoch: [182] [200/229] learning_rate: 0.132502 loss_vfl: 0.861624 loss_bbox: 0.321734 loss_dfl: 0.197140 loss: 1.367381 eta: 1 day, 1:48:31 batch_cost: 3.4296 data_cost: 0.0025 ips: 37.3219 images/s [10/16 18:22:19] ppdet.engine INFO: Epoch: [182] [220/229] learning_rate: 0.132330 loss_vfl: 0.850158 loss_bbox: 0.327921 loss_dfl: 0.200008 loss: 1.380988 eta: 1 day, 1:47:19 batch_cost: 3.1974 data_cost: 0.0025 ips: 40.0329 images/s [10/16 18:23:13] ppdet.engine INFO: Epoch: [183] [ 0/229] learning_rate: 0.132252 loss_vfl: 0.853305 loss_bbox: 0.319542 loss_dfl: 0.195733 loss: 1.365292 eta: 1 day, 1:46:59 batch_cost: 4.1000 data_cost: 0.3025 ips: 31.2198 images/s [10/16 18:24:27] ppdet.engine INFO: Epoch: [183] [ 20/229] learning_rate: 0.132080 loss_vfl: 0.846936 loss_bbox: 0.320291 loss_dfl: 0.198778 loss: 1.357685 eta: 1 day, 1:45:51 batch_cost: 3.5733 data_cost: 0.0029 ips: 35.8217 images/s [10/16 18:25:42] ppdet.engine INFO: Epoch: [183] [ 40/229] learning_rate: 0.131908 loss_vfl: 0.851599 loss_bbox: 0.336109 loss_dfl: 0.201272 loss: 1.379224 eta: 1 day, 1:44:43 batch_cost: 3.5511 data_cost: 0.0036 ips: 36.0449 images/s [10/16 18:26:53] ppdet.engine INFO: Epoch: [183] [ 60/229] learning_rate: 0.131736 loss_vfl: 0.844223 loss_bbox: 0.332888 loss_dfl: 0.201228 loss: 1.375748 eta: 1 day, 1:43:33 batch_cost: 3.4418 data_cost: 0.0030 ips: 37.1894 images/s [10/16 18:28:06] ppdet.engine INFO: Epoch: [183] [ 80/229] learning_rate: 0.131564 loss_vfl: 0.860065 loss_bbox: 0.325977 loss_dfl: 0.204352 loss: 1.393574 eta: 1 day, 1:42:24 batch_cost: 3.4702 data_cost: 0.0027 ips: 36.8857 images/s [10/16 18:29:17] ppdet.engine INFO: Epoch: [183] [100/229] learning_rate: 0.131393 loss_vfl: 0.836701 loss_bbox: 0.320253 loss_dfl: 0.196956 loss: 1.382194 eta: 1 day, 1:41:14 batch_cost: 3.3876 data_cost: 0.0039 ips: 37.7844 images/s [10/16 18:30:28] ppdet.engine INFO: Epoch: [183] [120/229] learning_rate: 0.131221 loss_vfl: 0.852698 loss_bbox: 0.332065 loss_dfl: 0.204632 loss: 1.399796 eta: 1 day, 1:40:04 batch_cost: 3.4397 data_cost: 0.0026 ips: 37.2125 images/s [10/16 18:31:39] ppdet.engine INFO: Epoch: [183] [140/229] learning_rate: 0.131049 loss_vfl: 0.848306 loss_bbox: 0.314446 loss_dfl: 0.196923 loss: 1.361500 eta: 1 day, 1:38:54 batch_cost: 3.3794 data_cost: 0.0029 ips: 37.8769 images/s [10/16 18:32:49] ppdet.engine INFO: Epoch: [183] [160/229] learning_rate: 0.130877 loss_vfl: 0.856262 loss_bbox: 0.309573 loss_dfl: 0.194937 loss: 1.358265 eta: 1 day, 1:37:43 batch_cost: 3.3675 data_cost: 0.0026 ips: 38.0105 images/s [10/16 18:33:59] ppdet.engine INFO: Epoch: [183] [180/229] learning_rate: 0.130706 loss_vfl: 0.842791 loss_bbox: 0.316586 loss_dfl: 0.192040 loss: 1.352744 eta: 1 day, 1:36:32 batch_cost: 3.3287 data_cost: 0.0029 ips: 38.4532 images/s [10/16 18:35:11] ppdet.engine INFO: Epoch: [183] [200/229] learning_rate: 0.130534 loss_vfl: 0.840632 loss_bbox: 0.318283 loss_dfl: 0.193893 loss: 1.356571 eta: 1 day, 1:35:23 batch_cost: 3.4807 data_cost: 0.0025 ips: 36.7738 images/s [10/16 18:36:20] ppdet.engine INFO: Epoch: [183] [220/229] learning_rate: 0.130363 loss_vfl: 0.862045 loss_bbox: 0.322620 loss_dfl: 0.200480 loss: 1.385066 eta: 1 day, 1:34:11 batch_cost: 3.2667 data_cost: 0.0025 ips: 39.1829 images/s [10/16 18:37:14] ppdet.engine INFO: Epoch: [184] [ 0/229] learning_rate: 0.130286 loss_vfl: 0.858755 loss_bbox: 0.322377 loss_dfl: 0.201764 loss: 1.383918 eta: 1 day, 1:33:52 batch_cost: 4.1718 data_cost: 0.3966 ips: 30.6824 images/s [10/16 18:38:28] ppdet.engine INFO: Epoch: [184] [ 20/229] learning_rate: 0.130114 loss_vfl: 0.852436 loss_bbox: 0.316977 loss_dfl: 0.195822 loss: 1.351371 eta: 1 day, 1:32:44 batch_cost: 3.5203 data_cost: 0.0025 ips: 36.3604 images/s [10/16 18:39:41] ppdet.engine INFO: Epoch: [184] [ 40/229] learning_rate: 0.129943 loss_vfl: 0.853826 loss_bbox: 0.318013 loss_dfl: 0.194291 loss: 1.371584 eta: 1 day, 1:31:35 batch_cost: 3.5116 data_cost: 0.0025 ips: 36.4510 images/s [10/16 18:40:53] ppdet.engine INFO: Epoch: [184] [ 60/229] learning_rate: 0.129772 loss_vfl: 0.839753 loss_bbox: 0.325224 loss_dfl: 0.192592 loss: 1.357184 eta: 1 day, 1:30:25 batch_cost: 3.4427 data_cost: 0.0024 ips: 37.1805 images/s [10/16 18:42:04] ppdet.engine INFO: Epoch: [184] [ 80/229] learning_rate: 0.129600 loss_vfl: 0.851513 loss_bbox: 0.315453 loss_dfl: 0.190397 loss: 1.350259 eta: 1 day, 1:29:15 batch_cost: 3.4091 data_cost: 0.0025 ips: 37.5467 images/s [10/16 18:43:15] ppdet.engine INFO: Epoch: [184] [100/229] learning_rate: 0.129429 loss_vfl: 0.845332 loss_bbox: 0.319663 loss_dfl: 0.200383 loss: 1.372440 eta: 1 day, 1:28:05 batch_cost: 3.3969 data_cost: 0.0025 ips: 37.6818 images/s [10/16 18:44:24] ppdet.engine INFO: Epoch: [184] [120/229] learning_rate: 0.129258 loss_vfl: 0.846750 loss_bbox: 0.333214 loss_dfl: 0.201302 loss: 1.391505 eta: 1 day, 1:26:54 batch_cost: 3.3126 data_cost: 0.0024 ips: 38.6404 images/s [10/16 18:45:35] ppdet.engine INFO: Epoch: [184] [140/229] learning_rate: 0.129087 loss_vfl: 0.843930 loss_bbox: 0.322486 loss_dfl: 0.195130 loss: 1.365720 eta: 1 day, 1:25:44 batch_cost: 3.4092 data_cost: 0.0025 ips: 37.5460 images/s [10/16 18:46:47] ppdet.engine INFO: Epoch: [184] [160/229] learning_rate: 0.128916 loss_vfl: 0.844142 loss_bbox: 0.338780 loss_dfl: 0.201586 loss: 1.381862 eta: 1 day, 1:24:34 batch_cost: 3.4256 data_cost: 0.0031 ips: 37.3660 images/s [10/16 18:47:57] ppdet.engine INFO: Epoch: [184] [180/229] learning_rate: 0.128745 loss_vfl: 0.841519 loss_bbox: 0.329316 loss_dfl: 0.200073 loss: 1.359957 eta: 1 day, 1:23:24 batch_cost: 3.3735 data_cost: 0.0026 ips: 37.9426 images/s [10/16 18:49:08] ppdet.engine INFO: Epoch: [184] [200/229] learning_rate: 0.128574 loss_vfl: 0.849010 loss_bbox: 0.327794 loss_dfl: 0.201458 loss: 1.379144 eta: 1 day, 1:22:13 batch_cost: 3.3779 data_cost: 0.0039 ips: 37.8931 images/s [10/16 18:50:16] ppdet.engine INFO: Epoch: [184] [220/229] learning_rate: 0.128403 loss_vfl: 0.837149 loss_bbox: 0.330082 loss_dfl: 0.205807 loss: 1.376775 eta: 1 day, 1:21:02 batch_cost: 3.2572 data_cost: 0.0035 ips: 39.2977 images/s [10/16 18:51:10] ppdet.engine INFO: Epoch: [185] [ 0/229] learning_rate: 0.128326 loss_vfl: 0.847860 loss_bbox: 0.337769 loss_dfl: 0.202702 loss: 1.407314 eta: 1 day, 1:20:42 batch_cost: 4.1530 data_cost: 0.4715 ips: 30.8214 images/s [10/16 18:52:23] ppdet.engine INFO: Epoch: [185] [ 20/229] learning_rate: 0.128156 loss_vfl: 0.845726 loss_bbox: 0.324686 loss_dfl: 0.199436 loss: 1.371612 eta: 1 day, 1:19:32 batch_cost: 3.4732 data_cost: 0.0030 ips: 36.8534 images/s [10/16 18:53:32] ppdet.engine INFO: Epoch: [185] [ 40/229] learning_rate: 0.127985 loss_vfl: 0.845277 loss_bbox: 0.323148 loss_dfl: 0.194404 loss: 1.365954 eta: 1 day, 1:18:22 batch_cost: 3.3287 data_cost: 0.0024 ips: 38.4537 images/s [10/16 18:54:41] ppdet.engine INFO: Epoch: [185] [ 60/229] learning_rate: 0.127814 loss_vfl: 0.835795 loss_bbox: 0.330156 loss_dfl: 0.196665 loss: 1.362330 eta: 1 day, 1:17:10 batch_cost: 3.3142 data_cost: 0.0024 ips: 38.6221 images/s [10/16 18:55:52] ppdet.engine INFO: Epoch: [185] [ 80/229] learning_rate: 0.127644 loss_vfl: 0.847164 loss_bbox: 0.325666 loss_dfl: 0.201575 loss: 1.381329 eta: 1 day, 1:16:00 batch_cost: 3.3544 data_cost: 0.0025 ips: 38.1594 images/s [10/16 18:57:02] ppdet.engine INFO: Epoch: [185] [100/229] learning_rate: 0.127473 loss_vfl: 0.841089 loss_bbox: 0.325943 loss_dfl: 0.198428 loss: 1.373047 eta: 1 day, 1:14:49 batch_cost: 3.3783 data_cost: 0.0024 ips: 37.8890 images/s [10/16 18:58:14] ppdet.engine INFO: Epoch: [185] [120/229] learning_rate: 0.127303 loss_vfl: 0.845536 loss_bbox: 0.330907 loss_dfl: 0.202483 loss: 1.383036 eta: 1 day, 1:13:40 batch_cost: 3.4377 data_cost: 0.0026 ips: 37.2341 images/s [10/16 18:59:24] ppdet.engine INFO: Epoch: [185] [140/229] learning_rate: 0.127133 loss_vfl: 0.848470 loss_bbox: 0.309686 loss_dfl: 0.194474 loss: 1.360771 eta: 1 day, 1:12:29 batch_cost: 3.3603 data_cost: 0.0025 ips: 38.0917 images/s [10/16 19:00:36] ppdet.engine INFO: Epoch: [185] [160/229] learning_rate: 0.126962 loss_vfl: 0.867540 loss_bbox: 0.327797 loss_dfl: 0.201749 loss: 1.380659 eta: 1 day, 1:11:19 batch_cost: 3.4280 data_cost: 0.0024 ips: 37.3397 images/s [10/16 19:01:48] ppdet.engine INFO: Epoch: [185] [180/229] learning_rate: 0.126792 loss_vfl: 0.850284 loss_bbox: 0.327614 loss_dfl: 0.202854 loss: 1.382117 eta: 1 day, 1:10:10 batch_cost: 3.4715 data_cost: 0.0025 ips: 36.8717 images/s [10/16 19:02:58] ppdet.engine INFO: Epoch: [185] [200/229] learning_rate: 0.126622 loss_vfl: 0.850719 loss_bbox: 0.326652 loss_dfl: 0.200698 loss: 1.382301 eta: 1 day, 1:09:00 batch_cost: 3.3728 data_cost: 0.0024 ips: 37.9503 images/s [10/16 19:04:05] ppdet.engine INFO: Epoch: [185] [220/229] learning_rate: 0.126452 loss_vfl: 0.868136 loss_bbox: 0.310435 loss_dfl: 0.197052 loss: 1.379133 eta: 1 day, 1:07:47 batch_cost: 3.1923 data_cost: 0.0024 ips: 40.0960 images/s [10/16 19:04:59] ppdet.engine INFO: Epoch: [186] [ 0/229] learning_rate: 0.126375 loss_vfl: 0.847616 loss_bbox: 0.315335 loss_dfl: 0.200130 loss: 1.376598 eta: 1 day, 1:07:27 batch_cost: 4.1477 data_cost: 0.4703 ips: 30.8602 images/s [10/16 19:06:14] ppdet.engine INFO: Epoch: [186] [ 20/229] learning_rate: 0.126205 loss_vfl: 0.836725 loss_bbox: 0.326831 loss_dfl: 0.197292 loss: 1.368780 eta: 1 day, 1:06:19 batch_cost: 3.5655 data_cost: 0.0033 ips: 35.8996 images/s [10/16 19:07:26] ppdet.engine INFO: Epoch: [186] [ 40/229] learning_rate: 0.126035 loss_vfl: 0.844481 loss_bbox: 0.329915 loss_dfl: 0.198602 loss: 1.375831 eta: 1 day, 1:05:10 batch_cost: 3.4551 data_cost: 0.0035 ips: 37.0470 images/s [10/16 19:08:38] ppdet.engine INFO: Epoch: [186] [ 60/229] learning_rate: 0.125865 loss_vfl: 0.846560 loss_bbox: 0.333912 loss_dfl: 0.209395 loss: 1.388100 eta: 1 day, 1:04:01 batch_cost: 3.4843 data_cost: 0.0026 ips: 36.7361 images/s [10/16 19:09:51] ppdet.engine INFO: Epoch: [186] [ 80/229] learning_rate: 0.125695 loss_vfl: 0.850612 loss_bbox: 0.314440 loss_dfl: 0.202720 loss: 1.379088 eta: 1 day, 1:02:51 batch_cost: 3.4578 data_cost: 0.0026 ips: 37.0177 images/s [10/16 19:11:02] ppdet.engine INFO: Epoch: [186] [100/229] learning_rate: 0.125526 loss_vfl: 0.838831 loss_bbox: 0.309824 loss_dfl: 0.196675 loss: 1.337883 eta: 1 day, 1:01:41 batch_cost: 3.4242 data_cost: 0.0026 ips: 37.3814 images/s [10/16 19:12:15] ppdet.engine INFO: Epoch: [186] [120/229] learning_rate: 0.125356 loss_vfl: 0.860896 loss_bbox: 0.332232 loss_dfl: 0.202910 loss: 1.394717 eta: 1 day, 1:00:32 batch_cost: 3.4734 data_cost: 0.0026 ips: 36.8515 images/s [10/16 19:13:25] ppdet.engine INFO: Epoch: [186] [140/229] learning_rate: 0.125186 loss_vfl: 0.847714 loss_bbox: 0.322414 loss_dfl: 0.195145 loss: 1.364578 eta: 1 day, 0:59:22 batch_cost: 3.3651 data_cost: 0.0025 ips: 38.0373 images/s [10/16 19:14:36] ppdet.engine INFO: Epoch: [186] [160/229] learning_rate: 0.125016 loss_vfl: 0.842168 loss_bbox: 0.330978 loss_dfl: 0.198171 loss: 1.379627 eta: 1 day, 0:58:12 batch_cost: 3.4220 data_cost: 0.0028 ips: 37.4051 images/s [10/16 19:15:50] ppdet.engine INFO: Epoch: [186] [180/229] learning_rate: 0.124847 loss_vfl: 0.854422 loss_bbox: 0.319593 loss_dfl: 0.198638 loss: 1.391568 eta: 1 day, 0:57:03 batch_cost: 3.5160 data_cost: 0.0028 ips: 36.4053 images/s [10/16 19:17:02] ppdet.engine INFO: Epoch: [186] [200/229] learning_rate: 0.124677 loss_vfl: 0.851543 loss_bbox: 0.325391 loss_dfl: 0.202434 loss: 1.372083 eta: 1 day, 0:55:54 batch_cost: 3.4529 data_cost: 0.0025 ips: 37.0702 images/s [10/16 19:18:10] ppdet.engine INFO: Epoch: [186] [220/229] learning_rate: 0.124508 loss_vfl: 0.858620 loss_bbox: 0.327131 loss_dfl: 0.203220 loss: 1.378369 eta: 1 day, 0:54:42 batch_cost: 3.2640 data_cost: 0.0036 ips: 39.2154 images/s [10/16 19:19:02] ppdet.engine INFO: Epoch: [187] [ 0/229] learning_rate: 0.124432 loss_vfl: 0.863161 loss_bbox: 0.330158 loss_dfl: 0.205546 loss: 1.389086 eta: 1 day, 0:54:21 batch_cost: 4.0613 data_cost: 0.5105 ips: 31.5167 images/s [10/16 19:20:15] ppdet.engine INFO: Epoch: [187] [ 20/229] learning_rate: 0.124263 loss_vfl: 0.838063 loss_bbox: 0.318818 loss_dfl: 0.197870 loss: 1.367166 eta: 1 day, 0:53:12 batch_cost: 3.4937 data_cost: 0.0025 ips: 36.6373 images/s [10/16 19:21:27] ppdet.engine INFO: Epoch: [187] [ 40/229] learning_rate: 0.124093 loss_vfl: 0.856501 loss_bbox: 0.311156 loss_dfl: 0.192406 loss: 1.363574 eta: 1 day, 0:52:02 batch_cost: 3.4316 data_cost: 0.0024 ips: 37.3001 images/s [10/16 19:22:38] ppdet.engine INFO: Epoch: [187] [ 60/229] learning_rate: 0.123924 loss_vfl: 0.840928 loss_bbox: 0.323320 loss_dfl: 0.194537 loss: 1.356081 eta: 1 day, 0:50:52 batch_cost: 3.4222 data_cost: 0.0024 ips: 37.4027 images/s [10/16 19:23:49] ppdet.engine INFO: Epoch: [187] [ 80/229] learning_rate: 0.123755 loss_vfl: 0.857268 loss_bbox: 0.325795 loss_dfl: 0.201554 loss: 1.374120 eta: 1 day, 0:49:43 batch_cost: 3.4293 data_cost: 0.0025 ips: 37.3253 images/s [10/16 19:25:02] ppdet.engine INFO: Epoch: [187] [100/229] learning_rate: 0.123586 loss_vfl: 0.856471 loss_bbox: 0.315735 loss_dfl: 0.191089 loss: 1.361435 eta: 1 day, 0:48:33 batch_cost: 3.4545 data_cost: 0.0032 ips: 37.0529 images/s [10/16 19:26:15] ppdet.engine INFO: Epoch: [187] [120/229] learning_rate: 0.123417 loss_vfl: 0.850784 loss_bbox: 0.316759 loss_dfl: 0.198218 loss: 1.373896 eta: 1 day, 0:47:25 batch_cost: 3.5227 data_cost: 0.0025 ips: 36.3354 images/s [10/16 19:27:25] ppdet.engine INFO: Epoch: [187] [140/229] learning_rate: 0.123248 loss_vfl: 0.845998 loss_bbox: 0.349035 loss_dfl: 0.207373 loss: 1.404279 eta: 1 day, 0:46:14 batch_cost: 3.3685 data_cost: 0.0024 ips: 37.9995 images/s [10/16 19:28:36] ppdet.engine INFO: Epoch: [187] [160/229] learning_rate: 0.123079 loss_vfl: 0.839273 loss_bbox: 0.327578 loss_dfl: 0.202590 loss: 1.367062 eta: 1 day, 0:45:04 batch_cost: 3.3708 data_cost: 0.0023 ips: 37.9733 images/s [10/16 19:29:47] ppdet.engine INFO: Epoch: [187] [180/229] learning_rate: 0.122910 loss_vfl: 0.849229 loss_bbox: 0.334154 loss_dfl: 0.196622 loss: 1.373317 eta: 1 day, 0:43:54 batch_cost: 3.4241 data_cost: 0.0023 ips: 37.3816 images/s [10/16 19:30:57] ppdet.engine INFO: Epoch: [187] [200/229] learning_rate: 0.122741 loss_vfl: 0.838135 loss_bbox: 0.314788 loss_dfl: 0.197873 loss: 1.365582 eta: 1 day, 0:42:43 batch_cost: 3.3515 data_cost: 0.0023 ips: 38.1914 images/s [10/16 19:32:08] ppdet.engine INFO: Epoch: [187] [220/229] learning_rate: 0.122573 loss_vfl: 0.838627 loss_bbox: 0.330423 loss_dfl: 0.198869 loss: 1.362800 eta: 1 day, 0:41:33 batch_cost: 3.3825 data_cost: 0.0023 ips: 37.8415 images/s [10/16 19:33:02] ppdet.engine INFO: Epoch: [188] [ 0/229] learning_rate: 0.122497 loss_vfl: 0.840870 loss_bbox: 0.330567 loss_dfl: 0.203471 loss: 1.364084 eta: 1 day, 0:41:13 batch_cost: 4.3094 data_cost: 0.3996 ips: 29.7027 images/s [10/16 19:34:16] ppdet.engine INFO: Epoch: [188] [ 20/229] learning_rate: 0.122328 loss_vfl: 0.830640 loss_bbox: 0.335297 loss_dfl: 0.205213 loss: 1.384299 eta: 1 day, 0:40:04 batch_cost: 3.5289 data_cost: 0.0028 ips: 36.2718 images/s [10/16 19:35:30] ppdet.engine INFO: Epoch: [188] [ 40/229] learning_rate: 0.122160 loss_vfl: 0.842416 loss_bbox: 0.328623 loss_dfl: 0.201871 loss: 1.374111 eta: 1 day, 0:38:56 batch_cost: 3.5363 data_cost: 0.0028 ips: 36.1963 images/s [10/16 19:36:41] ppdet.engine INFO: Epoch: [188] [ 60/229] learning_rate: 0.121991 loss_vfl: 0.857712 loss_bbox: 0.323843 loss_dfl: 0.200104 loss: 1.384997 eta: 1 day, 0:37:46 batch_cost: 3.4119 data_cost: 0.0027 ips: 37.5158 images/s [10/16 19:37:54] ppdet.engine INFO: Epoch: [188] [ 80/229] learning_rate: 0.121823 loss_vfl: 0.845266 loss_bbox: 0.325779 loss_dfl: 0.197755 loss: 1.354094 eta: 1 day, 0:36:37 batch_cost: 3.5109 data_cost: 0.0027 ips: 36.4584 images/s [10/16 19:39:05] ppdet.engine INFO: Epoch: [188] [100/229] learning_rate: 0.121655 loss_vfl: 0.838443 loss_bbox: 0.328210 loss_dfl: 0.198872 loss: 1.357315 eta: 1 day, 0:35:27 batch_cost: 3.4131 data_cost: 0.0025 ips: 37.5029 images/s [10/16 19:40:16] ppdet.engine INFO: Epoch: [188] [120/229] learning_rate: 0.121486 loss_vfl: 0.840277 loss_bbox: 0.326219 loss_dfl: 0.195758 loss: 1.368234 eta: 1 day, 0:34:17 batch_cost: 3.3844 data_cost: 0.0025 ips: 37.8210 images/s [10/16 19:41:27] ppdet.engine INFO: Epoch: [188] [140/229] learning_rate: 0.121318 loss_vfl: 0.837456 loss_bbox: 0.330162 loss_dfl: 0.204365 loss: 1.383734 eta: 1 day, 0:33:07 batch_cost: 3.3758 data_cost: 0.0025 ips: 37.9170 images/s [10/16 19:42:39] ppdet.engine INFO: Epoch: [188] [160/229] learning_rate: 0.121150 loss_vfl: 0.841575 loss_bbox: 0.313407 loss_dfl: 0.192698 loss: 1.345062 eta: 1 day, 0:31:57 batch_cost: 3.4519 data_cost: 0.0026 ips: 37.0815 images/s [10/16 19:43:49] ppdet.engine INFO: Epoch: [188] [180/229] learning_rate: 0.120982 loss_vfl: 0.840075 loss_bbox: 0.317669 loss_dfl: 0.196230 loss: 1.351112 eta: 1 day, 0:30:47 batch_cost: 3.3877 data_cost: 0.0025 ips: 37.7832 images/s [10/16 19:45:00] ppdet.engine INFO: Epoch: [188] [200/229] learning_rate: 0.120814 loss_vfl: 0.849559 loss_bbox: 0.331902 loss_dfl: 0.194587 loss: 1.377970 eta: 1 day, 0:29:36 batch_cost: 3.3575 data_cost: 0.0027 ips: 38.1231 images/s [10/16 19:46:10] ppdet.engine INFO: Epoch: [188] [220/229] learning_rate: 0.120646 loss_vfl: 0.842309 loss_bbox: 0.325839 loss_dfl: 0.202248 loss: 1.375025 eta: 1 day, 0:28:26 batch_cost: 3.3619 data_cost: 0.0026 ips: 38.0737 images/s [10/16 19:47:02] ppdet.engine INFO: Epoch: [189] [ 0/229] learning_rate: 0.120570 loss_vfl: 0.837685 loss_bbox: 0.325839 loss_dfl: 0.199090 loss: 1.381540 eta: 1 day, 0:28:04 batch_cost: 4.1521 data_cost: 0.3282 ips: 30.8274 images/s [10/16 19:48:15] ppdet.engine INFO: Epoch: [189] [ 20/229] learning_rate: 0.120403 loss_vfl: 0.847263 loss_bbox: 0.316151 loss_dfl: 0.204176 loss: 1.374590 eta: 1 day, 0:26:55 batch_cost: 3.4897 data_cost: 0.0027 ips: 36.6790 images/s [10/16 19:49:26] ppdet.engine INFO: Epoch: [189] [ 40/229] learning_rate: 0.120235 loss_vfl: 0.836355 loss_bbox: 0.327588 loss_dfl: 0.193337 loss: 1.349682 eta: 1 day, 0:25:45 batch_cost: 3.3765 data_cost: 0.0025 ips: 37.9096 images/s [10/16 19:50:39] ppdet.engine INFO: Epoch: [189] [ 60/229] learning_rate: 0.120067 loss_vfl: 0.845866 loss_bbox: 0.323217 loss_dfl: 0.202493 loss: 1.363243 eta: 1 day, 0:24:36 batch_cost: 3.5093 data_cost: 0.0025 ips: 36.4749 images/s [10/16 19:51:49] ppdet.engine INFO: Epoch: [189] [ 80/229] learning_rate: 0.119899 loss_vfl: 0.839074 loss_bbox: 0.324313 loss_dfl: 0.196010 loss: 1.366317 eta: 1 day, 0:23:25 batch_cost: 3.3630 data_cost: 0.0025 ips: 38.0616 images/s [10/16 19:52:58] ppdet.engine INFO: Epoch: [189] [100/229] learning_rate: 0.119732 loss_vfl: 0.834487 loss_bbox: 0.338197 loss_dfl: 0.201637 loss: 1.390527 eta: 1 day, 0:22:14 batch_cost: 3.2857 data_cost: 0.0026 ips: 38.9564 images/s [10/16 19:54:08] ppdet.engine INFO: Epoch: [189] [120/229] learning_rate: 0.119564 loss_vfl: 0.828297 loss_bbox: 0.318075 loss_dfl: 0.199670 loss: 1.355664 eta: 1 day, 0:21:04 batch_cost: 3.3787 data_cost: 0.0024 ips: 37.8845 images/s [10/16 19:55:20] ppdet.engine INFO: Epoch: [189] [140/229] learning_rate: 0.119397 loss_vfl: 0.868583 loss_bbox: 0.336795 loss_dfl: 0.204804 loss: 1.404918 eta: 1 day, 0:19:54 batch_cost: 3.4494 data_cost: 0.0024 ips: 37.1083 images/s [10/16 19:56:31] ppdet.engine INFO: Epoch: [189] [160/229] learning_rate: 0.119230 loss_vfl: 0.855127 loss_bbox: 0.322057 loss_dfl: 0.198479 loss: 1.380193 eta: 1 day, 0:18:44 batch_cost: 3.3792 data_cost: 0.0026 ips: 37.8789 images/s [10/16 19:57:43] ppdet.engine INFO: Epoch: [189] [180/229] learning_rate: 0.119062 loss_vfl: 0.858337 loss_bbox: 0.339555 loss_dfl: 0.207022 loss: 1.400540 eta: 1 day, 0:17:34 batch_cost: 3.4341 data_cost: 0.0025 ips: 37.2736 images/s [10/16 19:58:54] ppdet.engine INFO: Epoch: [189] [200/229] learning_rate: 0.118895 loss_vfl: 0.850677 loss_bbox: 0.326946 loss_dfl: 0.193335 loss: 1.370192 eta: 1 day, 0:16:24 batch_cost: 3.4371 data_cost: 0.0025 ips: 37.2408 images/s [10/16 20:00:02] ppdet.engine INFO: Epoch: [189] [220/229] learning_rate: 0.118728 loss_vfl: 0.842709 loss_bbox: 0.322891 loss_dfl: 0.199712 loss: 1.372561 eta: 1 day, 0:15:12 batch_cost: 3.2114 data_cost: 0.0024 ips: 39.8583 images/s [10/16 20:00:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 20:00:29] ppdet.engine INFO: Eval iter: 0 [10/16 20:01:06] ppdet.engine INFO: Eval iter: 100 [10/16 20:01:28] ppdet.engine INFO: Eval iter: 200 [10/16 20:01:50] ppdet.engine INFO: Eval iter: 300 [10/16 20:02:12] ppdet.engine INFO: Eval iter: 400 [10/16 20:02:35] ppdet.engine INFO: Eval iter: 500 [10/16 20:02:57] ppdet.engine INFO: Eval iter: 600 [10/16 20:03:18] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.66s) creating index... index created! [10/16 20:03:18] 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=95.88s). Accumulating evaluation results... DONE (t=16.94s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.266 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.407 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.278 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.079 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.266 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.461 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.251 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.394 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.421 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.136 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 ] = 0.683 [10/16 20:05:18] ppdet.engine INFO: Total sample number: 5000, averge FPS: 32.08438414314768 [10/16 20:05:18] ppdet.engine INFO: Best test bbox ap is 0.266. [10/16 20:05:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 20:05:21] ppdet.engine INFO: Epoch: [190] [ 0/229] learning_rate: 0.118653 loss_vfl: 0.843573 loss_bbox: 0.325958 loss_dfl: 0.197030 loss: 1.386103 eta: 1 day, 0:14:38 batch_cost: 2.9203 data_cost: 0.0024 ips: 43.8316 images/s [10/16 20:06:34] ppdet.engine INFO: Epoch: [190] [ 20/229] learning_rate: 0.118486 loss_vfl: 0.852528 loss_bbox: 0.318550 loss_dfl: 0.194978 loss: 1.360944 eta: 1 day, 0:13:29 batch_cost: 3.5143 data_cost: 0.0027 ips: 36.4229 images/s [10/16 20:07:44] ppdet.engine INFO: Epoch: [190] [ 40/229] learning_rate: 0.118319 loss_vfl: 0.834584 loss_bbox: 0.333723 loss_dfl: 0.193981 loss: 1.338721 eta: 1 day, 0:12:18 batch_cost: 3.3476 data_cost: 0.0026 ips: 38.2367 images/s [10/16 20:08:55] ppdet.engine INFO: Epoch: [190] [ 60/229] learning_rate: 0.118152 loss_vfl: 0.836475 loss_bbox: 0.329862 loss_dfl: 0.197675 loss: 1.374675 eta: 1 day, 0:11:08 batch_cost: 3.4060 data_cost: 0.0025 ips: 37.5811 images/s [10/16 20:10:06] ppdet.engine INFO: Epoch: [190] [ 80/229] learning_rate: 0.117985 loss_vfl: 0.844574 loss_bbox: 0.324134 loss_dfl: 0.195369 loss: 1.365999 eta: 1 day, 0:09:58 batch_cost: 3.3766 data_cost: 0.0025 ips: 37.9078 images/s [10/16 20:11:17] ppdet.engine INFO: Epoch: [190] [100/229] learning_rate: 0.117818 loss_vfl: 0.855532 loss_bbox: 0.315805 loss_dfl: 0.197606 loss: 1.374623 eta: 1 day, 0:08:48 batch_cost: 3.4148 data_cost: 0.0026 ips: 37.4842 images/s [10/16 20:12:28] ppdet.engine INFO: Epoch: [190] [120/229] learning_rate: 0.117651 loss_vfl: 0.839939 loss_bbox: 0.322847 loss_dfl: 0.195387 loss: 1.367858 eta: 1 day, 0:07:38 batch_cost: 3.4046 data_cost: 0.0025 ips: 37.5960 images/s [10/16 20:13:40] ppdet.engine INFO: Epoch: [190] [140/229] learning_rate: 0.117485 loss_vfl: 0.861432 loss_bbox: 0.326190 loss_dfl: 0.204505 loss: 1.393195 eta: 1 day, 0:06:29 batch_cost: 3.4402 data_cost: 0.0024 ips: 37.2070 images/s [10/16 20:14:52] ppdet.engine INFO: Epoch: [190] [160/229] learning_rate: 0.117318 loss_vfl: 0.838543 loss_bbox: 0.324936 loss_dfl: 0.199528 loss: 1.363427 eta: 1 day, 0:05:19 batch_cost: 3.4360 data_cost: 0.0023 ips: 37.2523 images/s [10/16 20:16:05] ppdet.engine INFO: Epoch: [190] [180/229] learning_rate: 0.117152 loss_vfl: 0.850623 loss_bbox: 0.319381 loss_dfl: 0.191782 loss: 1.357690 eta: 1 day, 0:04:10 batch_cost: 3.5137 data_cost: 0.0024 ips: 36.4286 images/s [10/16 20:17:17] ppdet.engine INFO: Epoch: [190] [200/229] learning_rate: 0.116985 loss_vfl: 0.838645 loss_bbox: 0.326636 loss_dfl: 0.195779 loss: 1.359334 eta: 1 day, 0:03:01 batch_cost: 3.4381 data_cost: 0.0026 ips: 37.2296 images/s [10/16 20:18:24] ppdet.engine INFO: Epoch: [190] [220/229] learning_rate: 0.116819 loss_vfl: 0.848811 loss_bbox: 0.333699 loss_dfl: 0.208937 loss: 1.376550 eta: 1 day, 0:01:48 batch_cost: 3.2031 data_cost: 0.0025 ips: 39.9608 images/s [10/16 20:19:15] ppdet.engine INFO: Epoch: [191] [ 0/229] learning_rate: 0.116744 loss_vfl: 0.849166 loss_bbox: 0.329948 loss_dfl: 0.204570 loss: 1.372441 eta: 1 day, 0:01:26 batch_cost: 4.0095 data_cost: 0.5760 ips: 31.9240 images/s [10/16 20:20:28] ppdet.engine INFO: Epoch: [191] [ 20/229] learning_rate: 0.116578 loss_vfl: 0.846047 loss_bbox: 0.329349 loss_dfl: 0.199965 loss: 1.368252 eta: 1 day, 0:00:16 batch_cost: 3.4810 data_cost: 0.0026 ips: 36.7711 images/s [10/16 20:21:39] ppdet.engine INFO: Epoch: [191] [ 40/229] learning_rate: 0.116411 loss_vfl: 0.845345 loss_bbox: 0.316648 loss_dfl: 0.194515 loss: 1.348969 eta: 23:59:07 batch_cost: 3.4161 data_cost: 0.0023 ips: 37.4695 images/s [10/16 20:22:50] ppdet.engine INFO: Epoch: [191] [ 60/229] learning_rate: 0.116245 loss_vfl: 0.842284 loss_bbox: 0.333385 loss_dfl: 0.206210 loss: 1.394714 eta: 23:57:57 batch_cost: 3.4004 data_cost: 0.0025 ips: 37.6425 images/s [10/16 20:24:01] ppdet.engine INFO: Epoch: [191] [ 80/229] learning_rate: 0.116079 loss_vfl: 0.834855 loss_bbox: 0.346057 loss_dfl: 0.204359 loss: 1.380876 eta: 23:56:47 batch_cost: 3.4107 data_cost: 0.0024 ips: 37.5288 images/s [10/16 20:25:12] ppdet.engine INFO: Epoch: [191] [100/229] learning_rate: 0.115913 loss_vfl: 0.849345 loss_bbox: 0.323738 loss_dfl: 0.197923 loss: 1.358488 eta: 23:55:37 batch_cost: 3.4282 data_cost: 0.0026 ips: 37.3373 images/s [10/16 20:26:23] ppdet.engine INFO: Epoch: [191] [120/229] learning_rate: 0.115747 loss_vfl: 0.844002 loss_bbox: 0.323756 loss_dfl: 0.191471 loss: 1.358097 eta: 23:54:27 batch_cost: 3.3789 data_cost: 0.0025 ips: 37.8826 images/s [10/16 20:27:34] ppdet.engine INFO: Epoch: [191] [140/229] learning_rate: 0.115581 loss_vfl: 0.835951 loss_bbox: 0.321845 loss_dfl: 0.199393 loss: 1.374200 eta: 23:53:17 batch_cost: 3.3882 data_cost: 0.0030 ips: 37.7783 images/s [10/16 20:28:46] ppdet.engine INFO: Epoch: [191] [160/229] learning_rate: 0.115416 loss_vfl: 0.846116 loss_bbox: 0.323898 loss_dfl: 0.197336 loss: 1.368934 eta: 23:52:07 batch_cost: 3.4721 data_cost: 0.0025 ips: 36.8656 images/s [10/16 20:29:58] ppdet.engine INFO: Epoch: [191] [180/229] learning_rate: 0.115250 loss_vfl: 0.844104 loss_bbox: 0.345321 loss_dfl: 0.210596 loss: 1.392619 eta: 23:50:58 batch_cost: 3.4506 data_cost: 0.0031 ips: 37.0945 images/s [10/16 20:31:09] ppdet.engine INFO: Epoch: [191] [200/229] learning_rate: 0.115084 loss_vfl: 0.842945 loss_bbox: 0.325684 loss_dfl: 0.195807 loss: 1.361703 eta: 23:49:48 batch_cost: 3.3832 data_cost: 0.0024 ips: 37.8338 images/s [10/16 20:32:16] ppdet.engine INFO: Epoch: [191] [220/229] learning_rate: 0.114919 loss_vfl: 0.852894 loss_bbox: 0.324539 loss_dfl: 0.201373 loss: 1.387765 eta: 23:48:36 batch_cost: 3.2163 data_cost: 0.0026 ips: 39.7977 images/s [10/16 20:33:09] ppdet.engine INFO: Epoch: [192] [ 0/229] learning_rate: 0.114844 loss_vfl: 0.845430 loss_bbox: 0.327396 loss_dfl: 0.201279 loss: 1.390400 eta: 23:48:14 batch_cost: 4.1218 data_cost: 0.6302 ips: 31.0544 images/s [10/16 20:34:21] ppdet.engine INFO: Epoch: [192] [ 20/229] learning_rate: 0.114679 loss_vfl: 0.834632 loss_bbox: 0.325932 loss_dfl: 0.200685 loss: 1.375604 eta: 23:47:05 batch_cost: 3.4779 data_cost: 0.0024 ips: 36.8043 images/s [10/16 20:35:34] ppdet.engine INFO: Epoch: [192] [ 40/229] learning_rate: 0.114513 loss_vfl: 0.851292 loss_bbox: 0.324216 loss_dfl: 0.198374 loss: 1.364237 eta: 23:45:55 batch_cost: 3.4633 data_cost: 0.0025 ips: 36.9587 images/s [10/16 20:36:45] ppdet.engine INFO: Epoch: [192] [ 60/229] learning_rate: 0.114348 loss_vfl: 0.837897 loss_bbox: 0.319169 loss_dfl: 0.200682 loss: 1.364623 eta: 23:44:46 batch_cost: 3.4340 data_cost: 0.0024 ips: 37.2747 images/s [10/16 20:37:56] ppdet.engine INFO: Epoch: [192] [ 80/229] learning_rate: 0.114183 loss_vfl: 0.839442 loss_bbox: 0.339179 loss_dfl: 0.204742 loss: 1.386126 eta: 23:43:36 batch_cost: 3.3787 data_cost: 0.0030 ips: 37.8839 images/s [10/16 20:39:06] ppdet.engine INFO: Epoch: [192] [100/229] learning_rate: 0.114017 loss_vfl: 0.833366 loss_bbox: 0.333455 loss_dfl: 0.197335 loss: 1.369837 eta: 23:42:25 batch_cost: 3.3683 data_cost: 0.0027 ips: 38.0014 images/s [10/16 20:40:16] ppdet.engine INFO: Epoch: [192] [120/229] learning_rate: 0.113852 loss_vfl: 0.849519 loss_bbox: 0.315479 loss_dfl: 0.192930 loss: 1.372807 eta: 23:41:15 batch_cost: 3.3580 data_cost: 0.0026 ips: 38.1177 images/s [10/16 20:41:26] ppdet.engine INFO: Epoch: [192] [140/229] learning_rate: 0.113687 loss_vfl: 0.855823 loss_bbox: 0.327967 loss_dfl: 0.196374 loss: 1.380926 eta: 23:40:04 batch_cost: 3.3498 data_cost: 0.0026 ips: 38.2114 images/s [10/16 20:42:39] ppdet.engine INFO: Epoch: [192] [160/229] learning_rate: 0.113522 loss_vfl: 0.847682 loss_bbox: 0.318119 loss_dfl: 0.195115 loss: 1.349263 eta: 23:38:55 batch_cost: 3.4828 data_cost: 0.0034 ips: 36.7517 images/s [10/16 20:43:51] ppdet.engine INFO: Epoch: [192] [180/229] learning_rate: 0.113357 loss_vfl: 0.839079 loss_bbox: 0.323335 loss_dfl: 0.197575 loss: 1.369085 eta: 23:37:46 batch_cost: 3.4549 data_cost: 0.0045 ips: 37.0487 images/s [10/16 20:45:03] ppdet.engine INFO: Epoch: [192] [200/229] learning_rate: 0.113193 loss_vfl: 0.849004 loss_bbox: 0.313825 loss_dfl: 0.195454 loss: 1.369686 eta: 23:36:36 batch_cost: 3.4691 data_cost: 0.0025 ips: 36.8976 images/s [10/16 20:46:13] ppdet.engine INFO: Epoch: [192] [220/229] learning_rate: 0.113028 loss_vfl: 0.854765 loss_bbox: 0.304703 loss_dfl: 0.193311 loss: 1.358490 eta: 23:35:26 batch_cost: 3.3425 data_cost: 0.0032 ips: 38.2946 images/s [10/16 20:47:04] ppdet.engine INFO: Epoch: [193] [ 0/229] learning_rate: 0.112954 loss_vfl: 0.841204 loss_bbox: 0.307248 loss_dfl: 0.194318 loss: 1.355044 eta: 23:35:03 batch_cost: 4.0749 data_cost: 0.4256 ips: 31.4119 images/s [10/16 20:48:17] ppdet.engine INFO: Epoch: [193] [ 20/229] learning_rate: 0.112789 loss_vfl: 0.842736 loss_bbox: 0.324015 loss_dfl: 0.203943 loss: 1.371960 eta: 23:33:54 batch_cost: 3.4983 data_cost: 0.0026 ips: 36.5896 images/s [10/16 20:49:28] ppdet.engine INFO: Epoch: [193] [ 40/229] learning_rate: 0.112625 loss_vfl: 0.841061 loss_bbox: 0.325624 loss_dfl: 0.202433 loss: 1.373845 eta: 23:32:44 batch_cost: 3.3927 data_cost: 0.0026 ips: 37.7282 images/s [10/16 20:50:39] ppdet.engine INFO: Epoch: [193] [ 60/229] learning_rate: 0.112460 loss_vfl: 0.849755 loss_bbox: 0.324334 loss_dfl: 0.200878 loss: 1.391567 eta: 23:31:34 batch_cost: 3.3915 data_cost: 0.0032 ips: 37.7419 images/s [10/16 20:51:52] ppdet.engine INFO: Epoch: [193] [ 80/229] learning_rate: 0.112296 loss_vfl: 0.832155 loss_bbox: 0.318323 loss_dfl: 0.194052 loss: 1.362953 eta: 23:30:25 batch_cost: 3.4885 data_cost: 0.0025 ips: 36.6921 images/s [10/16 20:53:05] ppdet.engine INFO: Epoch: [193] [100/229] learning_rate: 0.112131 loss_vfl: 0.845317 loss_bbox: 0.324856 loss_dfl: 0.201696 loss: 1.369423 eta: 23:29:16 batch_cost: 3.5032 data_cost: 0.0026 ips: 36.5379 images/s [10/16 20:54:19] ppdet.engine INFO: Epoch: [193] [120/229] learning_rate: 0.111967 loss_vfl: 0.837802 loss_bbox: 0.335587 loss_dfl: 0.202020 loss: 1.391222 eta: 23:28:07 batch_cost: 3.5543 data_cost: 0.0025 ips: 36.0130 images/s [10/16 20:55:33] ppdet.engine INFO: Epoch: [193] [140/229] learning_rate: 0.111803 loss_vfl: 0.856212 loss_bbox: 0.316766 loss_dfl: 0.193517 loss: 1.367452 eta: 23:26:59 batch_cost: 3.5318 data_cost: 0.0027 ips: 36.2418 images/s [10/16 20:56:44] ppdet.engine INFO: Epoch: [193] [160/229] learning_rate: 0.111639 loss_vfl: 0.841335 loss_bbox: 0.327455 loss_dfl: 0.196183 loss: 1.365359 eta: 23:25:49 batch_cost: 3.3944 data_cost: 0.0033 ips: 37.7092 images/s [10/16 20:57:56] ppdet.engine INFO: Epoch: [193] [180/229] learning_rate: 0.111475 loss_vfl: 0.832059 loss_bbox: 0.311891 loss_dfl: 0.194109 loss: 1.335477 eta: 23:24:40 batch_cost: 3.4776 data_cost: 0.0032 ips: 36.8068 images/s [10/16 20:59:09] ppdet.engine INFO: Epoch: [193] [200/229] learning_rate: 0.111311 loss_vfl: 0.840364 loss_bbox: 0.332026 loss_dfl: 0.203151 loss: 1.396708 eta: 23:23:31 batch_cost: 3.4878 data_cost: 0.0026 ips: 36.6992 images/s [10/16 21:00:17] ppdet.engine INFO: Epoch: [193] [220/229] learning_rate: 0.111147 loss_vfl: 0.844672 loss_bbox: 0.326570 loss_dfl: 0.200397 loss: 1.368311 eta: 23:22:19 batch_cost: 3.2327 data_cost: 0.0025 ips: 39.5956 images/s [10/16 21:01:12] ppdet.engine INFO: Epoch: [194] [ 0/229] learning_rate: 0.111073 loss_vfl: 0.855979 loss_bbox: 0.312447 loss_dfl: 0.200714 loss: 1.364821 eta: 23:21:58 batch_cost: 4.2271 data_cost: 0.7072 ips: 30.2810 images/s [10/16 21:02:25] ppdet.engine INFO: Epoch: [194] [ 20/229] learning_rate: 0.110909 loss_vfl: 0.832530 loss_bbox: 0.312603 loss_dfl: 0.195426 loss: 1.351165 eta: 23:20:49 batch_cost: 3.5281 data_cost: 0.0027 ips: 36.2800 images/s [10/16 21:03:38] ppdet.engine INFO: Epoch: [194] [ 40/229] learning_rate: 0.110745 loss_vfl: 0.846600 loss_bbox: 0.327836 loss_dfl: 0.197804 loss: 1.370105 eta: 23:19:40 batch_cost: 3.4866 data_cost: 0.0025 ips: 36.7115 images/s [10/16 21:04:48] ppdet.engine INFO: Epoch: [194] [ 60/229] learning_rate: 0.110582 loss_vfl: 0.834119 loss_bbox: 0.314964 loss_dfl: 0.200276 loss: 1.346958 eta: 23:18:30 batch_cost: 3.3770 data_cost: 0.0036 ips: 37.9029 images/s [10/16 21:06:01] ppdet.engine INFO: Epoch: [194] [ 80/229] learning_rate: 0.110418 loss_vfl: 0.835899 loss_bbox: 0.350898 loss_dfl: 0.206030 loss: 1.388204 eta: 23:17:21 batch_cost: 3.5021 data_cost: 0.0025 ips: 36.5499 images/s [10/16 21:07:12] ppdet.engine INFO: Epoch: [194] [100/229] learning_rate: 0.110255 loss_vfl: 0.845126 loss_bbox: 0.320165 loss_dfl: 0.198098 loss: 1.364421 eta: 23:16:11 batch_cost: 3.4028 data_cost: 0.0025 ips: 37.6160 images/s [10/16 21:08:24] ppdet.engine INFO: Epoch: [194] [120/229] learning_rate: 0.110091 loss_vfl: 0.836348 loss_bbox: 0.328884 loss_dfl: 0.202286 loss: 1.364555 eta: 23:15:01 batch_cost: 3.4350 data_cost: 0.0025 ips: 37.2632 images/s [10/16 21:09:34] ppdet.engine INFO: Epoch: [194] [140/229] learning_rate: 0.109928 loss_vfl: 0.834573 loss_bbox: 0.327320 loss_dfl: 0.197986 loss: 1.356995 eta: 23:13:50 batch_cost: 3.3311 data_cost: 0.0033 ips: 38.4254 images/s [10/16 21:10:45] ppdet.engine INFO: Epoch: [194] [160/229] learning_rate: 0.109765 loss_vfl: 0.836345 loss_bbox: 0.331606 loss_dfl: 0.203098 loss: 1.379541 eta: 23:12:41 batch_cost: 3.4275 data_cost: 0.0026 ips: 37.3450 images/s [10/16 21:11:57] ppdet.engine INFO: Epoch: [194] [180/229] learning_rate: 0.109601 loss_vfl: 0.848245 loss_bbox: 0.321817 loss_dfl: 0.195511 loss: 1.371811 eta: 23:11:31 batch_cost: 3.4206 data_cost: 0.0024 ips: 37.4201 images/s [10/16 21:13:08] ppdet.engine INFO: Epoch: [194] [200/229] learning_rate: 0.109438 loss_vfl: 0.847595 loss_bbox: 0.313231 loss_dfl: 0.191043 loss: 1.355555 eta: 23:10:21 batch_cost: 3.4062 data_cost: 0.0025 ips: 37.5788 images/s [10/16 21:14:18] ppdet.engine INFO: Epoch: [194] [220/229] learning_rate: 0.109275 loss_vfl: 0.846187 loss_bbox: 0.329686 loss_dfl: 0.200951 loss: 1.369725 eta: 23:09:11 batch_cost: 3.3805 data_cost: 0.0024 ips: 37.8642 images/s [10/16 21:15:17] ppdet.engine INFO: Epoch: [195] [ 0/229] learning_rate: 0.109202 loss_vfl: 0.849809 loss_bbox: 0.313467 loss_dfl: 0.198372 loss: 1.369725 eta: 23:08:52 batch_cost: 4.4769 data_cost: 0.8871 ips: 28.5915 images/s [10/16 21:16:29] ppdet.engine INFO: Epoch: [195] [ 20/229] learning_rate: 0.109039 loss_vfl: 0.837917 loss_bbox: 0.335540 loss_dfl: 0.202618 loss: 1.380706 eta: 23:07:42 batch_cost: 3.4530 data_cost: 0.0029 ips: 37.0689 images/s [10/16 21:17:39] ppdet.engine INFO: Epoch: [195] [ 40/229] learning_rate: 0.108876 loss_vfl: 0.828428 loss_bbox: 0.314765 loss_dfl: 0.192093 loss: 1.329676 eta: 23:06:31 batch_cost: 3.3377 data_cost: 0.0027 ips: 38.3496 images/s [10/16 21:18:51] ppdet.engine INFO: Epoch: [195] [ 60/229] learning_rate: 0.108713 loss_vfl: 0.842613 loss_bbox: 0.330919 loss_dfl: 0.198791 loss: 1.351988 eta: 23:05:22 batch_cost: 3.4232 data_cost: 0.0026 ips: 37.3921 images/s [10/16 21:20:02] ppdet.engine INFO: Epoch: [195] [ 80/229] learning_rate: 0.108551 loss_vfl: 0.832037 loss_bbox: 0.322918 loss_dfl: 0.192980 loss: 1.354246 eta: 23:04:12 batch_cost: 3.4208 data_cost: 0.0024 ips: 37.4183 images/s [10/16 21:21:13] ppdet.engine INFO: Epoch: [195] [100/229] learning_rate: 0.108388 loss_vfl: 0.835479 loss_bbox: 0.324474 loss_dfl: 0.195270 loss: 1.360070 eta: 23:03:02 batch_cost: 3.4301 data_cost: 0.0024 ips: 37.3170 images/s [10/16 21:22:24] ppdet.engine INFO: Epoch: [195] [120/229] learning_rate: 0.108225 loss_vfl: 0.838246 loss_bbox: 0.342248 loss_dfl: 0.209102 loss: 1.398482 eta: 23:01:52 batch_cost: 3.3815 data_cost: 0.0025 ips: 37.8534 images/s [10/16 21:23:36] ppdet.engine INFO: Epoch: [195] [140/229] learning_rate: 0.108063 loss_vfl: 0.848441 loss_bbox: 0.339405 loss_dfl: 0.199670 loss: 1.386237 eta: 23:00:42 batch_cost: 3.4301 data_cost: 0.0024 ips: 37.3167 images/s [10/16 21:24:45] ppdet.engine INFO: Epoch: [195] [160/229] learning_rate: 0.107901 loss_vfl: 0.835533 loss_bbox: 0.316639 loss_dfl: 0.198316 loss: 1.353305 eta: 22:59:32 batch_cost: 3.3252 data_cost: 0.0024 ips: 38.4939 images/s [10/16 21:25:57] ppdet.engine INFO: Epoch: [195] [180/229] learning_rate: 0.107738 loss_vfl: 0.850202 loss_bbox: 0.323815 loss_dfl: 0.193102 loss: 1.359399 eta: 22:58:22 batch_cost: 3.4785 data_cost: 0.0025 ips: 36.7979 images/s [10/16 21:27:08] ppdet.engine INFO: Epoch: [195] [200/229] learning_rate: 0.107576 loss_vfl: 0.828007 loss_bbox: 0.319327 loss_dfl: 0.194705 loss: 1.340386 eta: 22:57:12 batch_cost: 3.3569 data_cost: 0.0026 ips: 38.1299 images/s [10/16 21:28:14] ppdet.engine INFO: Epoch: [195] [220/229] learning_rate: 0.107414 loss_vfl: 0.844689 loss_bbox: 0.324706 loss_dfl: 0.202623 loss: 1.381143 eta: 22:56:00 batch_cost: 3.1864 data_cost: 0.0024 ips: 40.1708 images/s [10/16 21:29:05] ppdet.engine INFO: Epoch: [196] [ 0/229] learning_rate: 0.107341 loss_vfl: 0.845506 loss_bbox: 0.319656 loss_dfl: 0.201541 loss: 1.379461 eta: 22:55:36 batch_cost: 3.9162 data_cost: 0.5448 ips: 32.6850 images/s [10/16 21:30:18] ppdet.engine INFO: Epoch: [196] [ 20/229] learning_rate: 0.107179 loss_vfl: 0.839738 loss_bbox: 0.327032 loss_dfl: 0.201873 loss: 1.368351 eta: 22:54:27 batch_cost: 3.5135 data_cost: 0.0026 ips: 36.4307 images/s [10/16 21:31:30] ppdet.engine INFO: Epoch: [196] [ 40/229] learning_rate: 0.107017 loss_vfl: 0.843542 loss_bbox: 0.316068 loss_dfl: 0.200314 loss: 1.363017 eta: 22:53:18 batch_cost: 3.4352 data_cost: 0.0027 ips: 37.2611 images/s [10/16 21:32:41] ppdet.engine INFO: Epoch: [196] [ 60/229] learning_rate: 0.106855 loss_vfl: 0.837523 loss_bbox: 0.323450 loss_dfl: 0.198631 loss: 1.368033 eta: 22:52:08 batch_cost: 3.4238 data_cost: 0.0024 ips: 37.3855 images/s [10/16 21:33:53] ppdet.engine INFO: Epoch: [196] [ 80/229] learning_rate: 0.106693 loss_vfl: 0.835704 loss_bbox: 0.319698 loss_dfl: 0.193511 loss: 1.358105 eta: 22:50:58 batch_cost: 3.4581 data_cost: 0.0025 ips: 37.0150 images/s [10/16 21:35:05] ppdet.engine INFO: Epoch: [196] [100/229] learning_rate: 0.106531 loss_vfl: 0.836303 loss_bbox: 0.323984 loss_dfl: 0.191726 loss: 1.361617 eta: 22:49:49 batch_cost: 3.4305 data_cost: 0.0024 ips: 37.3124 images/s [10/16 21:36:18] ppdet.engine INFO: Epoch: [196] [120/229] learning_rate: 0.106370 loss_vfl: 0.831734 loss_bbox: 0.315114 loss_dfl: 0.197306 loss: 1.344538 eta: 22:48:40 batch_cost: 3.4916 data_cost: 0.0025 ips: 36.6592 images/s [10/16 21:37:28] ppdet.engine INFO: Epoch: [196] [140/229] learning_rate: 0.106208 loss_vfl: 0.835448 loss_bbox: 0.325744 loss_dfl: 0.197349 loss: 1.365800 eta: 22:47:30 batch_cost: 3.3816 data_cost: 0.0023 ips: 37.8519 images/s [10/16 21:38:39] ppdet.engine INFO: Epoch: [196] [160/229] learning_rate: 0.106046 loss_vfl: 0.840840 loss_bbox: 0.323426 loss_dfl: 0.197890 loss: 1.363448 eta: 22:46:19 batch_cost: 3.3736 data_cost: 0.0023 ips: 37.9416 images/s [10/16 21:39:51] ppdet.engine INFO: Epoch: [196] [180/229] learning_rate: 0.105885 loss_vfl: 0.846303 loss_bbox: 0.323025 loss_dfl: 0.198821 loss: 1.379773 eta: 22:45:10 batch_cost: 3.4654 data_cost: 0.0024 ips: 36.9367 images/s [10/16 21:41:02] ppdet.engine INFO: Epoch: [196] [200/229] learning_rate: 0.105724 loss_vfl: 0.850631 loss_bbox: 0.325973 loss_dfl: 0.198195 loss: 1.355798 eta: 22:44:00 batch_cost: 3.3959 data_cost: 0.0024 ips: 37.6926 images/s [10/16 21:42:10] ppdet.engine INFO: Epoch: [196] [220/229] learning_rate: 0.105562 loss_vfl: 0.841610 loss_bbox: 0.323327 loss_dfl: 0.195739 loss: 1.361532 eta: 22:42:48 batch_cost: 3.2607 data_cost: 0.0025 ips: 39.2549 images/s [10/16 21:43:07] ppdet.engine INFO: Epoch: [197] [ 0/229] learning_rate: 0.105490 loss_vfl: 0.843514 loss_bbox: 0.344660 loss_dfl: 0.202271 loss: 1.384543 eta: 22:42:28 batch_cost: 4.3472 data_cost: 0.4346 ips: 29.4445 images/s [10/16 21:44:20] ppdet.engine INFO: Epoch: [197] [ 20/229] learning_rate: 0.105329 loss_vfl: 0.834197 loss_bbox: 0.309995 loss_dfl: 0.190299 loss: 1.341134 eta: 22:41:19 batch_cost: 3.4726 data_cost: 0.0025 ips: 36.8603 images/s [10/16 21:45:32] ppdet.engine INFO: Epoch: [197] [ 40/229] learning_rate: 0.105168 loss_vfl: 0.831512 loss_bbox: 0.334273 loss_dfl: 0.204963 loss: 1.373404 eta: 22:40:10 batch_cost: 3.4507 data_cost: 0.0026 ips: 37.0937 images/s [10/16 21:46:41] ppdet.engine INFO: Epoch: [197] [ 60/229] learning_rate: 0.105007 loss_vfl: 0.839970 loss_bbox: 0.319212 loss_dfl: 0.195663 loss: 1.359747 eta: 22:38:59 batch_cost: 3.3110 data_cost: 0.0025 ips: 38.6590 images/s [10/16 21:47:51] ppdet.engine INFO: Epoch: [197] [ 80/229] learning_rate: 0.104846 loss_vfl: 0.847746 loss_bbox: 0.316221 loss_dfl: 0.193782 loss: 1.357270 eta: 22:37:48 batch_cost: 3.3608 data_cost: 0.0025 ips: 38.0858 images/s [10/16 21:49:04] ppdet.engine INFO: Epoch: [197] [100/229] learning_rate: 0.104685 loss_vfl: 0.838478 loss_bbox: 0.333088 loss_dfl: 0.198313 loss: 1.359728 eta: 22:36:39 batch_cost: 3.4828 data_cost: 0.0027 ips: 36.7517 images/s [10/16 21:50:14] ppdet.engine INFO: Epoch: [197] [120/229] learning_rate: 0.104524 loss_vfl: 0.833537 loss_bbox: 0.326816 loss_dfl: 0.202620 loss: 1.367882 eta: 22:35:29 batch_cost: 3.3506 data_cost: 0.0026 ips: 38.2021 images/s [10/16 21:51:26] ppdet.engine INFO: Epoch: [197] [140/229] learning_rate: 0.104363 loss_vfl: 0.850411 loss_bbox: 0.324014 loss_dfl: 0.198872 loss: 1.371641 eta: 22:34:19 batch_cost: 3.4730 data_cost: 0.0026 ips: 36.8552 images/s [10/16 21:52:38] ppdet.engine INFO: Epoch: [197] [160/229] learning_rate: 0.104203 loss_vfl: 0.848212 loss_bbox: 0.310608 loss_dfl: 0.195501 loss: 1.348224 eta: 22:33:10 batch_cost: 3.4181 data_cost: 0.0026 ips: 37.4473 images/s [10/16 21:53:48] ppdet.engine INFO: Epoch: [197] [180/229] learning_rate: 0.104042 loss_vfl: 0.818106 loss_bbox: 0.326348 loss_dfl: 0.193650 loss: 1.349408 eta: 22:32:00 batch_cost: 3.3872 data_cost: 0.0031 ips: 37.7897 images/s [10/16 21:54:59] ppdet.engine INFO: Epoch: [197] [200/229] learning_rate: 0.103882 loss_vfl: 0.834451 loss_bbox: 0.325243 loss_dfl: 0.197416 loss: 1.365432 eta: 22:30:50 batch_cost: 3.4017 data_cost: 0.0025 ips: 37.6280 images/s [10/16 21:56:06] ppdet.engine INFO: Epoch: [197] [220/229] learning_rate: 0.103721 loss_vfl: 0.832522 loss_bbox: 0.328152 loss_dfl: 0.199054 loss: 1.366854 eta: 22:29:37 batch_cost: 3.1758 data_cost: 0.0025 ips: 40.3052 images/s [10/16 21:56:57] ppdet.engine INFO: Epoch: [198] [ 0/229] learning_rate: 0.103649 loss_vfl: 0.846759 loss_bbox: 0.325116 loss_dfl: 0.198064 loss: 1.357990 eta: 22:29:14 batch_cost: 3.9784 data_cost: 0.5368 ips: 32.1735 images/s [10/16 21:58:10] ppdet.engine INFO: Epoch: [198] [ 20/229] learning_rate: 0.103489 loss_vfl: 0.836227 loss_bbox: 0.334191 loss_dfl: 0.204933 loss: 1.374898 eta: 22:28:05 batch_cost: 3.4937 data_cost: 0.0029 ips: 36.6377 images/s [10/16 21:59:22] ppdet.engine INFO: Epoch: [198] [ 40/229] learning_rate: 0.103329 loss_vfl: 0.830816 loss_bbox: 0.318272 loss_dfl: 0.192130 loss: 1.347085 eta: 22:26:55 batch_cost: 3.4360 data_cost: 0.0026 ips: 37.2524 images/s [10/16 22:00:32] ppdet.engine INFO: Epoch: [198] [ 60/229] learning_rate: 0.103169 loss_vfl: 0.840035 loss_bbox: 0.317606 loss_dfl: 0.196330 loss: 1.360611 eta: 22:25:45 batch_cost: 3.3782 data_cost: 0.0026 ips: 37.8897 images/s [10/16 22:01:44] ppdet.engine INFO: Epoch: [198] [ 80/229] learning_rate: 0.103009 loss_vfl: 0.845302 loss_bbox: 0.334051 loss_dfl: 0.208154 loss: 1.390410 eta: 22:24:35 batch_cost: 3.4060 data_cost: 0.0032 ips: 37.5812 images/s [10/16 22:02:56] ppdet.engine INFO: Epoch: [198] [100/229] learning_rate: 0.102849 loss_vfl: 0.843627 loss_bbox: 0.309210 loss_dfl: 0.191698 loss: 1.351940 eta: 22:23:26 batch_cost: 3.4639 data_cost: 0.0027 ips: 36.9523 images/s [10/16 22:04:08] ppdet.engine INFO: Epoch: [198] [120/229] learning_rate: 0.102689 loss_vfl: 0.828817 loss_bbox: 0.325732 loss_dfl: 0.196257 loss: 1.357802 eta: 22:22:16 batch_cost: 3.4490 data_cost: 0.0025 ips: 37.1123 images/s [10/16 22:05:20] ppdet.engine INFO: Epoch: [198] [140/229] learning_rate: 0.102529 loss_vfl: 0.844842 loss_bbox: 0.323376 loss_dfl: 0.198264 loss: 1.374272 eta: 22:21:07 batch_cost: 3.4648 data_cost: 0.0027 ips: 36.9428 images/s [10/16 22:06:32] ppdet.engine INFO: Epoch: [198] [160/229] learning_rate: 0.102370 loss_vfl: 0.841352 loss_bbox: 0.327662 loss_dfl: 0.200307 loss: 1.369268 eta: 22:19:57 batch_cost: 3.4336 data_cost: 0.0026 ips: 37.2786 images/s [10/16 22:07:43] ppdet.engine INFO: Epoch: [198] [180/229] learning_rate: 0.102210 loss_vfl: 0.829677 loss_bbox: 0.334382 loss_dfl: 0.205073 loss: 1.365664 eta: 22:18:48 batch_cost: 3.4060 data_cost: 0.0025 ips: 37.5807 images/s [10/16 22:08:55] ppdet.engine INFO: Epoch: [198] [200/229] learning_rate: 0.102050 loss_vfl: 0.849225 loss_bbox: 0.311854 loss_dfl: 0.198192 loss: 1.362457 eta: 22:17:38 batch_cost: 3.4650 data_cost: 0.0028 ips: 36.9405 images/s [10/16 22:10:03] ppdet.engine INFO: Epoch: [198] [220/229] learning_rate: 0.101891 loss_vfl: 0.847831 loss_bbox: 0.306342 loss_dfl: 0.192738 loss: 1.353392 eta: 22:16:27 batch_cost: 3.2429 data_cost: 0.0031 ips: 39.4714 images/s [10/16 22:10:56] ppdet.engine INFO: Epoch: [199] [ 0/229] learning_rate: 0.101819 loss_vfl: 0.840820 loss_bbox: 0.312387 loss_dfl: 0.194126 loss: 1.353392 eta: 22:16:04 batch_cost: 4.1366 data_cost: 0.4437 ips: 30.9436 images/s [10/16 22:12:09] ppdet.engine INFO: Epoch: [199] [ 20/229] learning_rate: 0.101660 loss_vfl: 0.841556 loss_bbox: 0.318301 loss_dfl: 0.199745 loss: 1.377120 eta: 22:14:55 batch_cost: 3.5049 data_cost: 0.0026 ips: 36.5205 images/s [10/16 22:13:20] ppdet.engine INFO: Epoch: [199] [ 40/229] learning_rate: 0.101501 loss_vfl: 0.834016 loss_bbox: 0.331335 loss_dfl: 0.198200 loss: 1.358274 eta: 22:13:45 batch_cost: 3.4111 data_cost: 0.0025 ips: 37.5244 images/s [10/16 22:14:33] ppdet.engine INFO: Epoch: [199] [ 60/229] learning_rate: 0.101342 loss_vfl: 0.838670 loss_bbox: 0.318975 loss_dfl: 0.197680 loss: 1.357349 eta: 22:12:36 batch_cost: 3.4814 data_cost: 0.0027 ips: 36.7668 images/s [10/16 22:15:47] ppdet.engine INFO: Epoch: [199] [ 80/229] learning_rate: 0.101182 loss_vfl: 0.834523 loss_bbox: 0.317657 loss_dfl: 0.195987 loss: 1.344272 eta: 22:11:27 batch_cost: 3.5368 data_cost: 0.0025 ips: 36.1905 images/s [10/16 22:17:00] ppdet.engine INFO: Epoch: [199] [100/229] learning_rate: 0.101023 loss_vfl: 0.838119 loss_bbox: 0.323608 loss_dfl: 0.195343 loss: 1.373134 eta: 22:10:19 batch_cost: 3.5280 data_cost: 0.0047 ips: 36.2812 images/s [10/16 22:18:11] ppdet.engine INFO: Epoch: [199] [120/229] learning_rate: 0.100865 loss_vfl: 0.837262 loss_bbox: 0.325952 loss_dfl: 0.204002 loss: 1.377092 eta: 22:09:09 batch_cost: 3.4069 data_cost: 0.0025 ips: 37.5703 images/s [10/16 22:19:23] ppdet.engine INFO: Epoch: [199] [140/229] learning_rate: 0.100706 loss_vfl: 0.841906 loss_bbox: 0.312304 loss_dfl: 0.193491 loss: 1.343216 eta: 22:07:59 batch_cost: 3.4257 data_cost: 0.0037 ips: 37.3649 images/s [10/16 22:20:36] ppdet.engine INFO: Epoch: [199] [160/229] learning_rate: 0.100547 loss_vfl: 0.843123 loss_bbox: 0.323542 loss_dfl: 0.196445 loss: 1.376776 eta: 22:06:50 batch_cost: 3.5018 data_cost: 0.0027 ips: 36.5530 images/s [10/16 22:21:49] ppdet.engine INFO: Epoch: [199] [180/229] learning_rate: 0.100388 loss_vfl: 0.843616 loss_bbox: 0.334399 loss_dfl: 0.204768 loss: 1.372271 eta: 22:05:41 batch_cost: 3.4907 data_cost: 0.0029 ips: 36.6692 images/s [10/16 22:23:01] ppdet.engine INFO: Epoch: [199] [200/229] learning_rate: 0.100230 loss_vfl: 0.849736 loss_bbox: 0.318911 loss_dfl: 0.199396 loss: 1.358836 eta: 22:04:32 batch_cost: 3.4595 data_cost: 0.0026 ips: 36.9994 images/s [10/16 22:24:07] ppdet.engine INFO: Epoch: [199] [220/229] learning_rate: 0.100071 loss_vfl: 0.844885 loss_bbox: 0.333035 loss_dfl: 0.200079 loss: 1.373969 eta: 22:03:20 batch_cost: 3.1777 data_cost: 0.0024 ips: 40.2801 images/s [10/16 22:24:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 22:24:36] ppdet.engine INFO: Eval iter: 0 [10/16 22:25:17] ppdet.engine INFO: Eval iter: 100 [10/16 22:25:40] ppdet.engine INFO: Eval iter: 200 [10/16 22:26:02] ppdet.engine INFO: Eval iter: 300 [10/16 22:26:25] ppdet.engine INFO: Eval iter: 400 [10/16 22:26:48] ppdet.engine INFO: Eval iter: 500 [10/16 22:27:10] ppdet.engine INFO: Eval iter: 600 [10/16 22:27:31] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.98s) creating index... index created! [10/16 22:27:32] 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=100.00s). Accumulating evaluation results... DONE (t=16.73s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.267 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.409 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.277 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.078 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.266 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.461 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.251 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.393 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.420 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 ] = 0.462 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.685 [10/16 22:29:35] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.885067535695633 [10/16 22:29:35] ppdet.engine INFO: Best test bbox ap is 0.267. [10/16 22:29:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/16 22:29:39] ppdet.engine INFO: Epoch: [200] [ 0/229] learning_rate: 0.100000 loss_vfl: 0.831255 loss_bbox: 0.330376 loss_dfl: 0.200079 loss: 1.366085 eta: 22:02:46 batch_cost: 3.0266 data_cost: 0.0025 ips: 42.2916 images/s [10/16 22:30:54] ppdet.engine INFO: Epoch: [200] [ 20/229] learning_rate: 0.099842 loss_vfl: 0.837268 loss_bbox: 0.315613 loss_dfl: 0.195514 loss: 1.336546 eta: 22:01:38 batch_cost: 3.6137 data_cost: 0.0034 ips: 35.4205 images/s [10/16 22:32:09] ppdet.engine INFO: Epoch: [200] [ 40/229] learning_rate: 0.099683 loss_vfl: 0.828597 loss_bbox: 0.303238 loss_dfl: 0.191957 loss: 1.332779 eta: 22:00:30 batch_cost: 3.5813 data_cost: 0.0033 ips: 35.7409 images/s [10/16 22:33:20] ppdet.engine INFO: Epoch: [200] [ 60/229] learning_rate: 0.099525 loss_vfl: 0.833379 loss_bbox: 0.321262 loss_dfl: 0.194072 loss: 1.353678 eta: 21:59:20 batch_cost: 3.4262 data_cost: 0.0027 ips: 37.3587 images/s [10/16 22:34:31] ppdet.engine INFO: Epoch: [200] [ 80/229] learning_rate: 0.099367 loss_vfl: 0.830769 loss_bbox: 0.316756 loss_dfl: 0.196920 loss: 1.342146 eta: 21:58:10 batch_cost: 3.4168 data_cost: 0.0026 ips: 37.4615 images/s [10/16 22:35:43] ppdet.engine INFO: Epoch: [200] [100/229] learning_rate: 0.099209 loss_vfl: 0.844215 loss_bbox: 0.313441 loss_dfl: 0.200892 loss: 1.351650 eta: 21:57:01 batch_cost: 3.4298 data_cost: 0.0026 ips: 37.3201 images/s [10/16 22:36:55] ppdet.engine INFO: Epoch: [200] [120/229] learning_rate: 0.099051 loss_vfl: 0.828082 loss_bbox: 0.309520 loss_dfl: 0.187853 loss: 1.317602 eta: 21:55:51 batch_cost: 3.4364 data_cost: 0.0025 ips: 37.2480 images/s [10/16 22:38:05] ppdet.engine INFO: Epoch: [200] [140/229] learning_rate: 0.098893 loss_vfl: 0.837066 loss_bbox: 0.321073 loss_dfl: 0.199092 loss: 1.371789 eta: 21:54:41 batch_cost: 3.3826 data_cost: 0.0024 ips: 37.8411 images/s [10/16 22:39:17] ppdet.engine INFO: Epoch: [200] [160/229] learning_rate: 0.098735 loss_vfl: 0.846308 loss_bbox: 0.317627 loss_dfl: 0.194596 loss: 1.353920 eta: 21:53:31 batch_cost: 3.4252 data_cost: 0.0026 ips: 37.3697 images/s [10/16 22:40:26] ppdet.engine INFO: Epoch: [200] [180/229] learning_rate: 0.098578 loss_vfl: 0.836930 loss_bbox: 0.327245 loss_dfl: 0.201656 loss: 1.363431 eta: 21:52:20 batch_cost: 3.2982 data_cost: 0.0025 ips: 38.8093 images/s [10/16 22:41:36] ppdet.engine INFO: Epoch: [200] [200/229] learning_rate: 0.098420 loss_vfl: 0.848654 loss_bbox: 0.315284 loss_dfl: 0.198423 loss: 1.363439 eta: 21:51:10 batch_cost: 3.3350 data_cost: 0.0025 ips: 38.3812 images/s [10/16 22:42:46] ppdet.engine INFO: Epoch: [200] [220/229] learning_rate: 0.098263 loss_vfl: 0.845764 loss_bbox: 0.317974 loss_dfl: 0.193659 loss: 1.369471 eta: 21:49:59 batch_cost: 3.3507 data_cost: 0.0025 ips: 38.2005 images/s [10/16 22:43:44] ppdet.engine INFO: Epoch: [201] [ 0/229] learning_rate: 0.098192 loss_vfl: 0.849137 loss_bbox: 0.324693 loss_dfl: 0.192747 loss: 1.367690 eta: 21:49:39 batch_cost: 4.4680 data_cost: 0.6691 ips: 28.6484 images/s [10/16 22:44:57] ppdet.engine INFO: Epoch: [201] [ 20/229] learning_rate: 0.098034 loss_vfl: 0.849965 loss_bbox: 0.317691 loss_dfl: 0.202724 loss: 1.367347 eta: 21:48:30 batch_cost: 3.4744 data_cost: 0.0027 ips: 36.8406 images/s [10/16 22:46:06] ppdet.engine INFO: Epoch: [201] [ 40/229] learning_rate: 0.097877 loss_vfl: 0.841119 loss_bbox: 0.316804 loss_dfl: 0.198956 loss: 1.365384 eta: 21:47:19 batch_cost: 3.3284 data_cost: 0.0030 ips: 38.4573 images/s [10/16 22:47:17] ppdet.engine INFO: Epoch: [201] [ 60/229] learning_rate: 0.097720 loss_vfl: 0.842788 loss_bbox: 0.326476 loss_dfl: 0.199183 loss: 1.379635 eta: 21:46:09 batch_cost: 3.3955 data_cost: 0.0033 ips: 37.6970 images/s [10/16 22:48:28] ppdet.engine INFO: Epoch: [201] [ 80/229] learning_rate: 0.097563 loss_vfl: 0.837626 loss_bbox: 0.318052 loss_dfl: 0.196662 loss: 1.356640 eta: 21:44:59 batch_cost: 3.4114 data_cost: 0.0026 ips: 37.5210 images/s [10/16 22:49:39] ppdet.engine INFO: Epoch: [201] [100/229] learning_rate: 0.097406 loss_vfl: 0.849403 loss_bbox: 0.331368 loss_dfl: 0.203936 loss: 1.380461 eta: 21:43:49 batch_cost: 3.3889 data_cost: 0.0026 ips: 37.7701 images/s [10/16 22:50:50] ppdet.engine INFO: Epoch: [201] [120/229] learning_rate: 0.097249 loss_vfl: 0.853940 loss_bbox: 0.313136 loss_dfl: 0.198781 loss: 1.380143 eta: 21:42:39 batch_cost: 3.3889 data_cost: 0.0025 ips: 37.7699 images/s [10/16 22:52:03] ppdet.engine INFO: Epoch: [201] [140/229] learning_rate: 0.097092 loss_vfl: 0.845947 loss_bbox: 0.309103 loss_dfl: 0.193494 loss: 1.352781 eta: 21:41:30 batch_cost: 3.4759 data_cost: 0.0026 ips: 36.8251 images/s [10/16 22:53:13] ppdet.engine INFO: Epoch: [201] [160/229] learning_rate: 0.096935 loss_vfl: 0.840927 loss_bbox: 0.326598 loss_dfl: 0.198800 loss: 1.366741 eta: 21:40:20 batch_cost: 3.3886 data_cost: 0.0024 ips: 37.7733 images/s [10/16 22:54:24] ppdet.engine INFO: Epoch: [201] [180/229] learning_rate: 0.096778 loss_vfl: 0.837581 loss_bbox: 0.330824 loss_dfl: 0.198174 loss: 1.364361 eta: 21:39:10 batch_cost: 3.3844 data_cost: 0.0026 ips: 37.8201 images/s [10/16 22:55:36] ppdet.engine INFO: Epoch: [201] [200/229] learning_rate: 0.096622 loss_vfl: 0.838569 loss_bbox: 0.314946 loss_dfl: 0.199172 loss: 1.361003 eta: 21:38:00 batch_cost: 3.4697 data_cost: 0.0026 ips: 36.8904 images/s [10/16 22:56:44] ppdet.engine INFO: Epoch: [201] [220/229] learning_rate: 0.096465 loss_vfl: 0.840427 loss_bbox: 0.321322 loss_dfl: 0.198655 loss: 1.363485 eta: 21:36:49 batch_cost: 3.2355 data_cost: 0.0024 ips: 39.5616 images/s [10/16 22:57:39] ppdet.engine INFO: Epoch: [202] [ 0/229] learning_rate: 0.096395 loss_vfl: 0.841621 loss_bbox: 0.316507 loss_dfl: 0.197705 loss: 1.363485 eta: 21:36:27 batch_cost: 4.2187 data_cost: 0.3382 ips: 30.3412 images/s [10/16 22:58:51] ppdet.engine INFO: Epoch: [202] [ 20/229] learning_rate: 0.096238 loss_vfl: 0.827254 loss_bbox: 0.319268 loss_dfl: 0.193786 loss: 1.331412 eta: 21:35:18 batch_cost: 3.4624 data_cost: 0.0032 ips: 36.9681 images/s [10/16 23:00:03] ppdet.engine INFO: Epoch: [202] [ 40/229] learning_rate: 0.096082 loss_vfl: 0.844072 loss_bbox: 0.325690 loss_dfl: 0.192887 loss: 1.357850 eta: 21:34:08 batch_cost: 3.4657 data_cost: 0.0027 ips: 36.9334 images/s [10/16 23:01:15] ppdet.engine INFO: Epoch: [202] [ 60/229] learning_rate: 0.095926 loss_vfl: 0.827890 loss_bbox: 0.333370 loss_dfl: 0.199945 loss: 1.351308 eta: 21:32:58 batch_cost: 3.4130 data_cost: 0.0025 ips: 37.5041 images/s [10/16 23:02:25] ppdet.engine INFO: Epoch: [202] [ 80/229] learning_rate: 0.095769 loss_vfl: 0.824278 loss_bbox: 0.308364 loss_dfl: 0.192973 loss: 1.329770 eta: 21:31:48 batch_cost: 3.3805 data_cost: 0.0024 ips: 37.8641 images/s [10/16 23:03:36] ppdet.engine INFO: Epoch: [202] [100/229] learning_rate: 0.095613 loss_vfl: 0.850810 loss_bbox: 0.307012 loss_dfl: 0.196526 loss: 1.352060 eta: 21:30:38 batch_cost: 3.3976 data_cost: 0.0024 ips: 37.6733 images/s [10/16 23:04:48] ppdet.engine INFO: Epoch: [202] [120/229] learning_rate: 0.095457 loss_vfl: 0.834146 loss_bbox: 0.315284 loss_dfl: 0.197132 loss: 1.354183 eta: 21:29:29 batch_cost: 3.4349 data_cost: 0.0024 ips: 37.2649 images/s [10/16 23:06:01] ppdet.engine INFO: Epoch: [202] [140/229] learning_rate: 0.095302 loss_vfl: 0.832828 loss_bbox: 0.311842 loss_dfl: 0.190684 loss: 1.340875 eta: 21:28:20 batch_cost: 3.5052 data_cost: 0.0037 ips: 36.5177 images/s [10/16 23:07:13] ppdet.engine INFO: Epoch: [202] [160/229] learning_rate: 0.095146 loss_vfl: 0.841579 loss_bbox: 0.325990 loss_dfl: 0.201973 loss: 1.384758 eta: 21:27:10 batch_cost: 3.4562 data_cost: 0.0025 ips: 37.0353 images/s [10/16 23:08:24] ppdet.engine INFO: Epoch: [202] [180/229] learning_rate: 0.094990 loss_vfl: 0.824954 loss_bbox: 0.305891 loss_dfl: 0.194530 loss: 1.329746 eta: 21:26:01 batch_cost: 3.4238 data_cost: 0.0026 ips: 37.3857 images/s [10/16 23:09:37] ppdet.engine INFO: Epoch: [202] [200/229] learning_rate: 0.094834 loss_vfl: 0.836385 loss_bbox: 0.331859 loss_dfl: 0.207646 loss: 1.375303 eta: 21:24:51 batch_cost: 3.4895 data_cost: 0.0025 ips: 36.6810 images/s [10/16 23:10:45] ppdet.engine INFO: Epoch: [202] [220/229] learning_rate: 0.094679 loss_vfl: 0.844652 loss_bbox: 0.309366 loss_dfl: 0.195331 loss: 1.357476 eta: 21:23:40 batch_cost: 3.2483 data_cost: 0.0026 ips: 39.4047 images/s [10/16 23:11:42] ppdet.engine INFO: Epoch: [203] [ 0/229] learning_rate: 0.094609 loss_vfl: 0.840112 loss_bbox: 0.310335 loss_dfl: 0.194488 loss: 1.362078 eta: 21:23:19 batch_cost: 4.3358 data_cost: 0.7038 ips: 29.5214 images/s [10/16 23:12:57] ppdet.engine INFO: Epoch: [203] [ 20/229] learning_rate: 0.094453 loss_vfl: 0.834657 loss_bbox: 0.336501 loss_dfl: 0.211935 loss: 1.384852 eta: 21:22:11 batch_cost: 3.5668 data_cost: 0.0028 ips: 35.8863 images/s [10/16 23:14:09] ppdet.engine INFO: Epoch: [203] [ 40/229] learning_rate: 0.094298 loss_vfl: 0.844122 loss_bbox: 0.324400 loss_dfl: 0.204854 loss: 1.376643 eta: 21:21:01 batch_cost: 3.4813 data_cost: 0.0026 ips: 36.7684 images/s [10/16 23:15:21] ppdet.engine INFO: Epoch: [203] [ 60/229] learning_rate: 0.094143 loss_vfl: 0.835585 loss_bbox: 0.320119 loss_dfl: 0.199124 loss: 1.336122 eta: 21:19:52 batch_cost: 3.4256 data_cost: 0.0026 ips: 37.3653 images/s [10/16 23:16:30] ppdet.engine INFO: Epoch: [203] [ 80/229] learning_rate: 0.093988 loss_vfl: 0.847551 loss_bbox: 0.326713 loss_dfl: 0.199103 loss: 1.380262 eta: 21:18:41 batch_cost: 3.3148 data_cost: 0.0024 ips: 38.6142 images/s [10/16 23:17:39] ppdet.engine INFO: Epoch: [203] [100/229] learning_rate: 0.093833 loss_vfl: 0.829244 loss_bbox: 0.324104 loss_dfl: 0.195224 loss: 1.350015 eta: 21:17:30 batch_cost: 3.3151 data_cost: 0.0025 ips: 38.6110 images/s [10/16 23:18:49] ppdet.engine INFO: Epoch: [203] [120/229] learning_rate: 0.093678 loss_vfl: 0.846813 loss_bbox: 0.320886 loss_dfl: 0.191985 loss: 1.347655 eta: 21:16:20 batch_cost: 3.3457 data_cost: 0.0024 ips: 38.2576 images/s [10/16 23:20:01] ppdet.engine INFO: Epoch: [203] [140/229] learning_rate: 0.093523 loss_vfl: 0.847000 loss_bbox: 0.327611 loss_dfl: 0.200993 loss: 1.360254 eta: 21:15:10 batch_cost: 3.4651 data_cost: 0.0025 ips: 36.9401 images/s [10/16 23:21:12] ppdet.engine INFO: Epoch: [203] [160/229] learning_rate: 0.093368 loss_vfl: 0.838741 loss_bbox: 0.308448 loss_dfl: 0.191062 loss: 1.334863 eta: 21:14:00 batch_cost: 3.3925 data_cost: 0.0025 ips: 37.7302 images/s [10/16 23:22:24] ppdet.engine INFO: Epoch: [203] [180/229] learning_rate: 0.093213 loss_vfl: 0.839326 loss_bbox: 0.316912 loss_dfl: 0.196514 loss: 1.347248 eta: 21:12:51 batch_cost: 3.4284 data_cost: 0.0025 ips: 37.3347 images/s [10/16 23:23:34] ppdet.engine INFO: Epoch: [203] [200/229] learning_rate: 0.093059 loss_vfl: 0.838605 loss_bbox: 0.317825 loss_dfl: 0.191260 loss: 1.338369 eta: 21:11:40 batch_cost: 3.3761 data_cost: 0.0024 ips: 37.9141 images/s [10/16 23:24:44] ppdet.engine INFO: Epoch: [203] [220/229] learning_rate: 0.092904 loss_vfl: 0.837831 loss_bbox: 0.323497 loss_dfl: 0.196355 loss: 1.369055 eta: 21:10:30 batch_cost: 3.3189 data_cost: 0.0024 ips: 38.5670 images/s [10/16 23:25:38] ppdet.engine INFO: Epoch: [204] [ 0/229] learning_rate: 0.092835 loss_vfl: 0.830138 loss_bbox: 0.321209 loss_dfl: 0.193992 loss: 1.338830 eta: 21:10:07 batch_cost: 4.2867 data_cost: 0.5791 ips: 29.8598 images/s [10/16 23:26:51] ppdet.engine INFO: Epoch: [204] [ 20/229] learning_rate: 0.092680 loss_vfl: 0.833075 loss_bbox: 0.335467 loss_dfl: 0.205626 loss: 1.366022 eta: 21:08:59 batch_cost: 3.5356 data_cost: 0.0026 ips: 36.2029 images/s [10/16 23:28:02] ppdet.engine INFO: Epoch: [204] [ 40/229] learning_rate: 0.092526 loss_vfl: 0.842053 loss_bbox: 0.318602 loss_dfl: 0.195024 loss: 1.345749 eta: 21:07:49 batch_cost: 3.3971 data_cost: 0.0024 ips: 37.6789 images/s [10/16 23:29:13] ppdet.engine INFO: Epoch: [204] [ 60/229] learning_rate: 0.092372 loss_vfl: 0.841072 loss_bbox: 0.330255 loss_dfl: 0.194808 loss: 1.370396 eta: 21:06:38 batch_cost: 3.3866 data_cost: 0.0025 ips: 37.7960 images/s [10/16 23:30:26] ppdet.engine INFO: Epoch: [204] [ 80/229] learning_rate: 0.092218 loss_vfl: 0.836895 loss_bbox: 0.315555 loss_dfl: 0.199359 loss: 1.351841 eta: 21:05:29 batch_cost: 3.4826 data_cost: 0.0024 ips: 36.7538 images/s [10/16 23:31:37] ppdet.engine INFO: Epoch: [204] [100/229] learning_rate: 0.092064 loss_vfl: 0.830676 loss_bbox: 0.327763 loss_dfl: 0.199107 loss: 1.355643 eta: 21:04:19 batch_cost: 3.4046 data_cost: 0.0023 ips: 37.5966 images/s [10/16 23:32:48] ppdet.engine INFO: Epoch: [204] [120/229] learning_rate: 0.091910 loss_vfl: 0.840712 loss_bbox: 0.326109 loss_dfl: 0.198767 loss: 1.349044 eta: 21:03:10 batch_cost: 3.4181 data_cost: 0.0024 ips: 37.4482 images/s [10/16 23:33:59] ppdet.engine INFO: Epoch: [204] [140/229] learning_rate: 0.091756 loss_vfl: 0.841123 loss_bbox: 0.321914 loss_dfl: 0.197962 loss: 1.362721 eta: 21:02:00 batch_cost: 3.4176 data_cost: 0.0026 ips: 37.4536 images/s [10/16 23:35:10] ppdet.engine INFO: Epoch: [204] [160/229] learning_rate: 0.091602 loss_vfl: 0.829634 loss_bbox: 0.328451 loss_dfl: 0.199780 loss: 1.363539 eta: 21:00:50 batch_cost: 3.3708 data_cost: 0.0024 ips: 37.9736 images/s [10/16 23:36:19] ppdet.engine INFO: Epoch: [204] [180/229] learning_rate: 0.091448 loss_vfl: 0.836302 loss_bbox: 0.319193 loss_dfl: 0.197693 loss: 1.361715 eta: 20:59:39 batch_cost: 3.3451 data_cost: 0.0025 ips: 38.2646 images/s [10/16 23:37:30] ppdet.engine INFO: Epoch: [204] [200/229] learning_rate: 0.091295 loss_vfl: 0.844436 loss_bbox: 0.321816 loss_dfl: 0.197777 loss: 1.361904 eta: 20:58:29 batch_cost: 3.3727 data_cost: 0.0025 ips: 37.9516 images/s [10/16 23:38:35] ppdet.engine INFO: Epoch: [204] [220/229] learning_rate: 0.091141 loss_vfl: 0.831271 loss_bbox: 0.327940 loss_dfl: 0.194657 loss: 1.344058 eta: 20:57:16 batch_cost: 3.0946 data_cost: 0.0023 ips: 41.3628 images/s [10/16 23:39:27] ppdet.engine INFO: Epoch: [205] [ 0/229] learning_rate: 0.091072 loss_vfl: 0.828897 loss_bbox: 0.322530 loss_dfl: 0.202818 loss: 1.344624 eta: 20:56:53 batch_cost: 4.0205 data_cost: 0.5102 ips: 31.8368 images/s [10/16 23:40:41] ppdet.engine INFO: Epoch: [205] [ 20/229] learning_rate: 0.090919 loss_vfl: 0.821733 loss_bbox: 0.308054 loss_dfl: 0.191319 loss: 1.330045 eta: 20:55:44 batch_cost: 3.5210 data_cost: 0.0028 ips: 36.3531 images/s [10/16 23:41:53] ppdet.engine INFO: Epoch: [205] [ 40/229] learning_rate: 0.090766 loss_vfl: 0.834369 loss_bbox: 0.329363 loss_dfl: 0.197356 loss: 1.363116 eta: 20:54:34 batch_cost: 3.4118 data_cost: 0.0025 ips: 37.5170 images/s [10/16 23:43:05] ppdet.engine INFO: Epoch: [205] [ 60/229] learning_rate: 0.090612 loss_vfl: 0.837450 loss_bbox: 0.317162 loss_dfl: 0.197231 loss: 1.347042 eta: 20:53:24 batch_cost: 3.4492 data_cost: 0.0025 ips: 37.1102 images/s [10/16 23:44:18] ppdet.engine INFO: Epoch: [205] [ 80/229] learning_rate: 0.090459 loss_vfl: 0.837204 loss_bbox: 0.324399 loss_dfl: 0.202975 loss: 1.365971 eta: 20:52:16 batch_cost: 3.5132 data_cost: 0.0024 ips: 36.4339 images/s [10/16 23:45:32] ppdet.engine INFO: Epoch: [205] [100/229] learning_rate: 0.090306 loss_vfl: 0.838145 loss_bbox: 0.318107 loss_dfl: 0.195301 loss: 1.353820 eta: 20:51:07 batch_cost: 3.5751 data_cost: 0.0025 ips: 35.8028 images/s [10/16 23:46:44] ppdet.engine INFO: Epoch: [205] [120/229] learning_rate: 0.090153 loss_vfl: 0.834804 loss_bbox: 0.323697 loss_dfl: 0.188970 loss: 1.351017 eta: 20:49:57 batch_cost: 3.4229 data_cost: 0.0024 ips: 37.3955 images/s [10/16 23:47:56] ppdet.engine INFO: Epoch: [205] [140/229] learning_rate: 0.090001 loss_vfl: 0.828703 loss_bbox: 0.327582 loss_dfl: 0.195754 loss: 1.354526 eta: 20:48:48 batch_cost: 3.4419 data_cost: 0.0025 ips: 37.1886 images/s [10/16 23:49:07] ppdet.engine INFO: Epoch: [205] [160/229] learning_rate: 0.089848 loss_vfl: 0.830262 loss_bbox: 0.325749 loss_dfl: 0.198171 loss: 1.355040 eta: 20:47:38 batch_cost: 3.4000 data_cost: 0.0025 ips: 37.6473 images/s [10/16 23:50:17] ppdet.engine INFO: Epoch: [205] [180/229] learning_rate: 0.089695 loss_vfl: 0.835234 loss_bbox: 0.325551 loss_dfl: 0.200457 loss: 1.356123 eta: 20:46:28 batch_cost: 3.3589 data_cost: 0.0024 ips: 38.1075 images/s [10/16 23:51:27] ppdet.engine INFO: Epoch: [205] [200/229] learning_rate: 0.089543 loss_vfl: 0.835747 loss_bbox: 0.329461 loss_dfl: 0.199160 loss: 1.364511 eta: 20:45:17 batch_cost: 3.3434 data_cost: 0.0024 ips: 38.2843 images/s [10/16 23:52:34] ppdet.engine INFO: Epoch: [205] [220/229] learning_rate: 0.089390 loss_vfl: 0.844150 loss_bbox: 0.339247 loss_dfl: 0.203144 loss: 1.386061 eta: 20:44:06 batch_cost: 3.2226 data_cost: 0.0023 ips: 39.7190 images/s [10/16 23:53:25] ppdet.engine INFO: Epoch: [206] [ 0/229] learning_rate: 0.089322 loss_vfl: 0.832215 loss_bbox: 0.335340 loss_dfl: 0.203303 loss: 1.380493 eta: 20:43:41 batch_cost: 4.0223 data_cost: 0.4852 ips: 31.8229 images/s [10/16 23:54:38] ppdet.engine INFO: Epoch: [206] [ 20/229] learning_rate: 0.089169 loss_vfl: 0.829011 loss_bbox: 0.303045 loss_dfl: 0.189354 loss: 1.327764 eta: 20:42:32 batch_cost: 3.4990 data_cost: 0.0025 ips: 36.5823 images/s [10/16 23:55:49] ppdet.engine INFO: Epoch: [206] [ 40/229] learning_rate: 0.089017 loss_vfl: 0.839413 loss_bbox: 0.321754 loss_dfl: 0.197460 loss: 1.355340 eta: 20:41:22 batch_cost: 3.3800 data_cost: 0.0030 ips: 37.8699 images/s [10/16 23:57:00] ppdet.engine INFO: Epoch: [206] [ 60/229] learning_rate: 0.088865 loss_vfl: 0.830956 loss_bbox: 0.319753 loss_dfl: 0.200389 loss: 1.365508 eta: 20:40:13 batch_cost: 3.4329 data_cost: 0.0024 ips: 37.2860 images/s [10/16 23:58:13] ppdet.engine INFO: Epoch: [206] [ 80/229] learning_rate: 0.088713 loss_vfl: 0.836492 loss_bbox: 0.324264 loss_dfl: 0.194437 loss: 1.356632 eta: 20:39:03 batch_cost: 3.4575 data_cost: 0.0024 ips: 37.0206 images/s [10/16 23:59:24] ppdet.engine INFO: Epoch: [206] [100/229] learning_rate: 0.088561 loss_vfl: 0.840372 loss_bbox: 0.319568 loss_dfl: 0.197949 loss: 1.356334 eta: 20:37:54 batch_cost: 3.4390 data_cost: 0.0025 ips: 37.2203 images/s [10/17 00:00:35] ppdet.engine INFO: Epoch: [206] [120/229] learning_rate: 0.088409 loss_vfl: 0.835360 loss_bbox: 0.317942 loss_dfl: 0.190901 loss: 1.342239 eta: 20:36:43 batch_cost: 3.3708 data_cost: 0.0025 ips: 37.9728 images/s [10/17 00:01:48] ppdet.engine INFO: Epoch: [206] [140/229] learning_rate: 0.088257 loss_vfl: 0.827118 loss_bbox: 0.321002 loss_dfl: 0.196430 loss: 1.332448 eta: 20:35:35 batch_cost: 3.5167 data_cost: 0.0025 ips: 36.3981 images/s [10/17 00:02:59] ppdet.engine INFO: Epoch: [206] [160/229] learning_rate: 0.088106 loss_vfl: 0.847646 loss_bbox: 0.321583 loss_dfl: 0.200929 loss: 1.374851 eta: 20:34:24 batch_cost: 3.3737 data_cost: 0.0024 ips: 37.9411 images/s [10/17 00:04:10] ppdet.engine INFO: Epoch: [206] [180/229] learning_rate: 0.087954 loss_vfl: 0.837589 loss_bbox: 0.324267 loss_dfl: 0.199692 loss: 1.366839 eta: 20:33:15 batch_cost: 3.4147 data_cost: 0.0024 ips: 37.4855 images/s [10/17 00:05:22] ppdet.engine INFO: Epoch: [206] [200/229] learning_rate: 0.087803 loss_vfl: 0.844770 loss_bbox: 0.326346 loss_dfl: 0.198127 loss: 1.369228 eta: 20:32:05 batch_cost: 3.4566 data_cost: 0.0025 ips: 37.0310 images/s [10/17 00:06:29] ppdet.engine INFO: Epoch: [206] [220/229] learning_rate: 0.087651 loss_vfl: 0.835992 loss_bbox: 0.315395 loss_dfl: 0.189598 loss: 1.332421 eta: 20:30:54 batch_cost: 3.2039 data_cost: 0.0023 ips: 39.9512 images/s [10/17 00:07:25] ppdet.engine INFO: Epoch: [207] [ 0/229] learning_rate: 0.087583 loss_vfl: 0.836217 loss_bbox: 0.302778 loss_dfl: 0.189750 loss: 1.332421 eta: 20:30:31 batch_cost: 4.2610 data_cost: 0.6423 ips: 30.0399 images/s [10/17 00:08:37] ppdet.engine INFO: Epoch: [207] [ 20/229] learning_rate: 0.087432 loss_vfl: 0.833124 loss_bbox: 0.323130 loss_dfl: 0.200208 loss: 1.349932 eta: 20:29:22 batch_cost: 3.4654 data_cost: 0.0038 ips: 36.9368 images/s [10/17 00:09:50] ppdet.engine INFO: Epoch: [207] [ 40/229] learning_rate: 0.087281 loss_vfl: 0.826374 loss_bbox: 0.297682 loss_dfl: 0.185199 loss: 1.318049 eta: 20:28:13 batch_cost: 3.5016 data_cost: 0.0030 ips: 36.5551 images/s [10/17 00:11:03] ppdet.engine INFO: Epoch: [207] [ 60/229] learning_rate: 0.087130 loss_vfl: 0.841922 loss_bbox: 0.311292 loss_dfl: 0.193072 loss: 1.328326 eta: 20:27:04 batch_cost: 3.4660 data_cost: 0.0026 ips: 36.9305 images/s [10/17 00:12:15] ppdet.engine INFO: Epoch: [207] [ 80/229] learning_rate: 0.086979 loss_vfl: 0.834236 loss_bbox: 0.318492 loss_dfl: 0.198144 loss: 1.352705 eta: 20:25:54 batch_cost: 3.4722 data_cost: 0.0027 ips: 36.8644 images/s [10/17 00:13:28] ppdet.engine INFO: Epoch: [207] [100/229] learning_rate: 0.086828 loss_vfl: 0.836371 loss_bbox: 0.320066 loss_dfl: 0.199071 loss: 1.350751 eta: 20:24:45 batch_cost: 3.4650 data_cost: 0.0025 ips: 36.9404 images/s [10/17 00:14:39] ppdet.engine INFO: Epoch: [207] [120/229] learning_rate: 0.086677 loss_vfl: 0.838434 loss_bbox: 0.318285 loss_dfl: 0.197445 loss: 1.353803 eta: 20:23:35 batch_cost: 3.4104 data_cost: 0.0027 ips: 37.5326 images/s [10/17 00:15:53] ppdet.engine INFO: Epoch: [207] [140/229] learning_rate: 0.086527 loss_vfl: 0.847807 loss_bbox: 0.326097 loss_dfl: 0.200957 loss: 1.361039 eta: 20:22:27 batch_cost: 3.5555 data_cost: 0.0027 ips: 36.0004 images/s [10/17 00:17:05] ppdet.engine INFO: Epoch: [207] [160/229] learning_rate: 0.086376 loss_vfl: 0.841013 loss_bbox: 0.310970 loss_dfl: 0.195029 loss: 1.354971 eta: 20:21:17 batch_cost: 3.4496 data_cost: 0.0025 ips: 37.1055 images/s [10/17 00:18:15] ppdet.engine INFO: Epoch: [207] [180/229] learning_rate: 0.086226 loss_vfl: 0.838380 loss_bbox: 0.333734 loss_dfl: 0.199615 loss: 1.369829 eta: 20:20:07 batch_cost: 3.3550 data_cost: 0.0025 ips: 38.1525 images/s [10/17 00:19:26] ppdet.engine INFO: Epoch: [207] [200/229] learning_rate: 0.086075 loss_vfl: 0.836862 loss_bbox: 0.319828 loss_dfl: 0.198992 loss: 1.359739 eta: 20:18:57 batch_cost: 3.3944 data_cost: 0.0025 ips: 37.7086 images/s [10/17 00:20:34] ppdet.engine INFO: Epoch: [207] [220/229] learning_rate: 0.085925 loss_vfl: 0.832021 loss_bbox: 0.326686 loss_dfl: 0.198512 loss: 1.347276 eta: 20:17:46 batch_cost: 3.2539 data_cost: 0.0037 ips: 39.3374 images/s [10/17 00:21:23] ppdet.engine INFO: Epoch: [208] [ 0/229] learning_rate: 0.085857 loss_vfl: 0.839240 loss_bbox: 0.316816 loss_dfl: 0.201139 loss: 1.349945 eta: 20:17:20 batch_cost: 3.9502 data_cost: 0.4826 ips: 32.4037 images/s [10/17 00:22:40] ppdet.engine INFO: Epoch: [208] [ 20/229] learning_rate: 0.085707 loss_vfl: 0.833960 loss_bbox: 0.317456 loss_dfl: 0.189908 loss: 1.334591 eta: 20:16:12 batch_cost: 3.6116 data_cost: 0.0025 ips: 35.4417 images/s [10/17 00:23:51] ppdet.engine INFO: Epoch: [208] [ 40/229] learning_rate: 0.085557 loss_vfl: 0.837247 loss_bbox: 0.319308 loss_dfl: 0.199459 loss: 1.332878 eta: 20:15:03 batch_cost: 3.4205 data_cost: 0.0025 ips: 37.4214 images/s [10/17 00:25:01] ppdet.engine INFO: Epoch: [208] [ 60/229] learning_rate: 0.085407 loss_vfl: 0.831540 loss_bbox: 0.308872 loss_dfl: 0.190437 loss: 1.322078 eta: 20:13:52 batch_cost: 3.3503 data_cost: 0.0027 ips: 38.2051 images/s [10/17 00:26:12] ppdet.engine INFO: Epoch: [208] [ 80/229] learning_rate: 0.085257 loss_vfl: 0.842251 loss_bbox: 0.328774 loss_dfl: 0.205853 loss: 1.373154 eta: 20:12:42 batch_cost: 3.3994 data_cost: 0.0026 ips: 37.6533 images/s [10/17 00:27:23] ppdet.engine INFO: Epoch: [208] [100/229] learning_rate: 0.085107 loss_vfl: 0.831624 loss_bbox: 0.319109 loss_dfl: 0.193605 loss: 1.343574 eta: 20:11:32 batch_cost: 3.3953 data_cost: 0.0024 ips: 37.6989 images/s [10/17 00:28:32] ppdet.engine INFO: Epoch: [208] [120/229] learning_rate: 0.084958 loss_vfl: 0.834029 loss_bbox: 0.311287 loss_dfl: 0.199881 loss: 1.352383 eta: 20:10:22 batch_cost: 3.2969 data_cost: 0.0024 ips: 38.8245 images/s [10/17 00:29:43] ppdet.engine INFO: Epoch: [208] [140/229] learning_rate: 0.084808 loss_vfl: 0.836491 loss_bbox: 0.318802 loss_dfl: 0.197128 loss: 1.351517 eta: 20:09:12 batch_cost: 3.3906 data_cost: 0.0024 ips: 37.7510 images/s [10/17 00:30:54] ppdet.engine INFO: Epoch: [208] [160/229] learning_rate: 0.084659 loss_vfl: 0.838848 loss_bbox: 0.317783 loss_dfl: 0.199981 loss: 1.351848 eta: 20:08:02 batch_cost: 3.4068 data_cost: 0.0025 ips: 37.5719 images/s [10/17 00:32:06] ppdet.engine INFO: Epoch: [208] [180/229] learning_rate: 0.084509 loss_vfl: 0.832035 loss_bbox: 0.323782 loss_dfl: 0.199930 loss: 1.360707 eta: 20:06:52 batch_cost: 3.4379 data_cost: 0.0025 ips: 37.2317 images/s [10/17 00:33:16] ppdet.engine INFO: Epoch: [208] [200/229] learning_rate: 0.084360 loss_vfl: 0.817280 loss_bbox: 0.332731 loss_dfl: 0.198448 loss: 1.341983 eta: 20:05:42 batch_cost: 3.3416 data_cost: 0.0025 ips: 38.3051 images/s [10/17 00:34:23] ppdet.engine INFO: Epoch: [208] [220/229] learning_rate: 0.084211 loss_vfl: 0.825547 loss_bbox: 0.327011 loss_dfl: 0.199012 loss: 1.353625 eta: 20:04:30 batch_cost: 3.2038 data_cost: 0.0023 ips: 39.9521 images/s [10/17 00:35:18] ppdet.engine INFO: Epoch: [209] [ 0/229] learning_rate: 0.084144 loss_vfl: 0.831242 loss_bbox: 0.320842 loss_dfl: 0.197372 loss: 1.348202 eta: 20:04:07 batch_cost: 4.1860 data_cost: 0.5352 ips: 30.5781 images/s [10/17 00:36:30] ppdet.engine INFO: Epoch: [209] [ 20/229] learning_rate: 0.083995 loss_vfl: 0.832869 loss_bbox: 0.320172 loss_dfl: 0.194733 loss: 1.339785 eta: 20:02:58 batch_cost: 3.4442 data_cost: 0.0024 ips: 37.1636 images/s [10/17 00:37:42] ppdet.engine INFO: Epoch: [209] [ 40/229] learning_rate: 0.083846 loss_vfl: 0.829462 loss_bbox: 0.321224 loss_dfl: 0.199704 loss: 1.349495 eta: 20:01:48 batch_cost: 3.4510 data_cost: 0.0024 ips: 37.0908 images/s [10/17 00:38:52] ppdet.engine INFO: Epoch: [209] [ 60/229] learning_rate: 0.083697 loss_vfl: 0.829943 loss_bbox: 0.330942 loss_dfl: 0.203243 loss: 1.364584 eta: 20:00:38 batch_cost: 3.3370 data_cost: 0.0024 ips: 38.3579 images/s [10/17 00:40:04] ppdet.engine INFO: Epoch: [209] [ 80/229] learning_rate: 0.083548 loss_vfl: 0.838887 loss_bbox: 0.321919 loss_dfl: 0.198401 loss: 1.368524 eta: 19:59:28 batch_cost: 3.4236 data_cost: 0.0025 ips: 37.3872 images/s [10/17 00:41:15] ppdet.engine INFO: Epoch: [209] [100/229] learning_rate: 0.083399 loss_vfl: 0.830491 loss_bbox: 0.333014 loss_dfl: 0.203403 loss: 1.354169 eta: 19:58:18 batch_cost: 3.4010 data_cost: 0.0025 ips: 37.6363 images/s [10/17 00:42:26] ppdet.engine INFO: Epoch: [209] [120/229] learning_rate: 0.083251 loss_vfl: 0.838967 loss_bbox: 0.313473 loss_dfl: 0.190739 loss: 1.334761 eta: 19:57:08 batch_cost: 3.4134 data_cost: 0.0025 ips: 37.4996 images/s [10/17 00:43:37] ppdet.engine INFO: Epoch: [209] [140/229] learning_rate: 0.083102 loss_vfl: 0.844416 loss_bbox: 0.316596 loss_dfl: 0.199828 loss: 1.359459 eta: 19:55:59 batch_cost: 3.4310 data_cost: 0.0024 ips: 37.3072 images/s [10/17 00:44:49] ppdet.engine INFO: Epoch: [209] [160/229] learning_rate: 0.082954 loss_vfl: 0.833234 loss_bbox: 0.324693 loss_dfl: 0.201595 loss: 1.364502 eta: 19:54:49 batch_cost: 3.4176 data_cost: 0.0026 ips: 37.4528 images/s [10/17 00:46:00] ppdet.engine INFO: Epoch: [209] [180/229] learning_rate: 0.082806 loss_vfl: 0.835705 loss_bbox: 0.316491 loss_dfl: 0.195813 loss: 1.355340 eta: 19:53:39 batch_cost: 3.3938 data_cost: 0.0025 ips: 37.7158 images/s [10/17 00:47:11] ppdet.engine INFO: Epoch: [209] [200/229] learning_rate: 0.082658 loss_vfl: 0.830946 loss_bbox: 0.322221 loss_dfl: 0.201128 loss: 1.347931 eta: 19:52:29 batch_cost: 3.4085 data_cost: 0.0028 ips: 37.5534 images/s [10/17 00:48:17] ppdet.engine INFO: Epoch: [209] [220/229] learning_rate: 0.082510 loss_vfl: 0.819849 loss_bbox: 0.325726 loss_dfl: 0.195897 loss: 1.346723 eta: 19:51:17 batch_cost: 3.1833 data_cost: 0.0024 ips: 40.2097 images/s [10/17 00:48:45] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 00:48:46] ppdet.engine INFO: Eval iter: 0 [10/17 00:49:24] ppdet.engine INFO: Eval iter: 100 [10/17 00:49:49] ppdet.engine INFO: Eval iter: 200 [10/17 00:50:11] ppdet.engine INFO: Eval iter: 300 [10/17 00:50:34] ppdet.engine INFO: Eval iter: 400 [10/17 00:50:56] ppdet.engine INFO: Eval iter: 500 [10/17 00:51:19] ppdet.engine INFO: Eval iter: 600 [10/17 00:51:39] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.93s) creating index... index created! [10/17 00:51:40] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.67s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=96.40s). Accumulating evaluation results... DONE (t=16.62s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.266 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.406 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.275 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.079 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.266 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.462 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 ] = 0.393 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.421 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.142 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.463 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.681 [10/17 00:53:40] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.120930491650935 [10/17 00:53:40] ppdet.engine INFO: Best test bbox ap is 0.267. [10/17 00:53:43] ppdet.engine INFO: Epoch: [210] [ 0/229] learning_rate: 0.082443 loss_vfl: 0.817844 loss_bbox: 0.319920 loss_dfl: 0.195076 loss: 1.335110 eta: 19:50:44 batch_cost: 2.9597 data_cost: 0.0024 ips: 43.2481 images/s [10/17 00:54:57] ppdet.engine INFO: Epoch: [210] [ 20/229] learning_rate: 0.082295 loss_vfl: 0.830126 loss_bbox: 0.314851 loss_dfl: 0.196021 loss: 1.335144 eta: 19:49:35 batch_cost: 3.5588 data_cost: 0.0027 ips: 35.9672 images/s [10/17 00:56:10] ppdet.engine INFO: Epoch: [210] [ 40/229] learning_rate: 0.082147 loss_vfl: 0.840706 loss_bbox: 0.315218 loss_dfl: 0.191166 loss: 1.334052 eta: 19:48:26 batch_cost: 3.5040 data_cost: 0.0025 ips: 36.5299 images/s [10/17 00:57:22] ppdet.engine INFO: Epoch: [210] [ 60/229] learning_rate: 0.081999 loss_vfl: 0.823926 loss_bbox: 0.320895 loss_dfl: 0.201332 loss: 1.361072 eta: 19:47:17 batch_cost: 3.4584 data_cost: 0.0025 ips: 37.0118 images/s [10/17 00:58:33] ppdet.engine INFO: Epoch: [210] [ 80/229] learning_rate: 0.081852 loss_vfl: 0.823537 loss_bbox: 0.316239 loss_dfl: 0.196031 loss: 1.336268 eta: 19:46:07 batch_cost: 3.4096 data_cost: 0.0024 ips: 37.5406 images/s [10/17 00:59:44] ppdet.engine INFO: Epoch: [210] [100/229] learning_rate: 0.081704 loss_vfl: 0.834250 loss_bbox: 0.307144 loss_dfl: 0.195699 loss: 1.339326 eta: 19:44:57 batch_cost: 3.3789 data_cost: 0.0030 ips: 37.8822 images/s [10/17 01:00:54] ppdet.engine INFO: Epoch: [210] [120/229] learning_rate: 0.081557 loss_vfl: 0.842125 loss_bbox: 0.330328 loss_dfl: 0.198439 loss: 1.369392 eta: 19:43:47 batch_cost: 3.3790 data_cost: 0.0024 ips: 37.8807 images/s [10/17 01:02:04] ppdet.engine INFO: Epoch: [210] [140/229] learning_rate: 0.081409 loss_vfl: 0.832778 loss_bbox: 0.332747 loss_dfl: 0.203536 loss: 1.355155 eta: 19:42:36 batch_cost: 3.3342 data_cost: 0.0025 ips: 38.3903 images/s [10/17 01:03:15] ppdet.engine INFO: Epoch: [210] [160/229] learning_rate: 0.081262 loss_vfl: 0.837268 loss_bbox: 0.315857 loss_dfl: 0.195437 loss: 1.353907 eta: 19:41:26 batch_cost: 3.4046 data_cost: 0.0024 ips: 37.5960 images/s [10/17 01:04:26] ppdet.engine INFO: Epoch: [210] [180/229] learning_rate: 0.081115 loss_vfl: 0.839032 loss_bbox: 0.324514 loss_dfl: 0.199914 loss: 1.364058 eta: 19:40:17 batch_cost: 3.3999 data_cost: 0.0024 ips: 37.6486 images/s [10/17 01:05:40] ppdet.engine INFO: Epoch: [210] [200/229] learning_rate: 0.080968 loss_vfl: 0.833983 loss_bbox: 0.321865 loss_dfl: 0.199200 loss: 1.357157 eta: 19:39:08 batch_cost: 3.5387 data_cost: 0.0029 ips: 36.1711 images/s [10/17 01:06:48] ppdet.engine INFO: Epoch: [210] [220/229] learning_rate: 0.080821 loss_vfl: 0.828992 loss_bbox: 0.322613 loss_dfl: 0.200028 loss: 1.354785 eta: 19:37:57 batch_cost: 3.2738 data_cost: 0.0026 ips: 39.0986 images/s [10/17 01:07:43] ppdet.engine INFO: Epoch: [211] [ 0/229] learning_rate: 0.080755 loss_vfl: 0.829407 loss_bbox: 0.327412 loss_dfl: 0.202797 loss: 1.358725 eta: 19:37:34 batch_cost: 4.2811 data_cost: 0.5315 ips: 29.8986 images/s [10/17 01:08:57] ppdet.engine INFO: Epoch: [211] [ 20/229] learning_rate: 0.080608 loss_vfl: 0.818181 loss_bbox: 0.311725 loss_dfl: 0.191799 loss: 1.330122 eta: 19:36:25 batch_cost: 3.5750 data_cost: 0.0026 ips: 35.8037 images/s [10/17 01:10:12] ppdet.engine INFO: Epoch: [211] [ 40/229] learning_rate: 0.080462 loss_vfl: 0.826107 loss_bbox: 0.327196 loss_dfl: 0.195209 loss: 1.350752 eta: 19:35:17 batch_cost: 3.5657 data_cost: 0.0025 ips: 35.8975 images/s [10/17 01:11:25] ppdet.engine INFO: Epoch: [211] [ 60/229] learning_rate: 0.080315 loss_vfl: 0.832756 loss_bbox: 0.311217 loss_dfl: 0.193735 loss: 1.333269 eta: 19:34:08 batch_cost: 3.5017 data_cost: 0.0025 ips: 36.5539 images/s [10/17 01:12:36] ppdet.engine INFO: Epoch: [211] [ 80/229] learning_rate: 0.080168 loss_vfl: 0.830803 loss_bbox: 0.312464 loss_dfl: 0.196494 loss: 1.340994 eta: 19:32:58 batch_cost: 3.3929 data_cost: 0.0025 ips: 37.7257 images/s [10/17 01:13:48] ppdet.engine INFO: Epoch: [211] [100/229] learning_rate: 0.080022 loss_vfl: 0.832230 loss_bbox: 0.333405 loss_dfl: 0.202587 loss: 1.370170 eta: 19:31:48 batch_cost: 3.4643 data_cost: 0.0024 ips: 36.9485 images/s [10/17 01:14:59] ppdet.engine INFO: Epoch: [211] [120/229] learning_rate: 0.079876 loss_vfl: 0.827747 loss_bbox: 0.310465 loss_dfl: 0.190287 loss: 1.329941 eta: 19:30:39 batch_cost: 3.4252 data_cost: 0.0026 ips: 37.3702 images/s [10/17 01:16:12] ppdet.engine INFO: Epoch: [211] [140/229] learning_rate: 0.079730 loss_vfl: 0.834848 loss_bbox: 0.305875 loss_dfl: 0.194765 loss: 1.330737 eta: 19:29:29 batch_cost: 3.4651 data_cost: 0.0035 ips: 36.9399 images/s [10/17 01:17:22] ppdet.engine INFO: Epoch: [211] [160/229] learning_rate: 0.079583 loss_vfl: 0.835109 loss_bbox: 0.320170 loss_dfl: 0.195471 loss: 1.355784 eta: 19:28:19 batch_cost: 3.3873 data_cost: 0.0025 ips: 37.7879 images/s [10/17 01:18:34] ppdet.engine INFO: Epoch: [211] [180/229] learning_rate: 0.079437 loss_vfl: 0.845280 loss_bbox: 0.336037 loss_dfl: 0.195980 loss: 1.360329 eta: 19:27:10 batch_cost: 3.4269 data_cost: 0.0036 ips: 37.3521 images/s [10/17 01:19:44] ppdet.engine INFO: Epoch: [211] [200/229] learning_rate: 0.079292 loss_vfl: 0.827859 loss_bbox: 0.311503 loss_dfl: 0.191763 loss: 1.320332 eta: 19:26:00 batch_cost: 3.3731 data_cost: 0.0025 ips: 37.9469 images/s [10/17 01:20:51] ppdet.engine INFO: Epoch: [211] [220/229] learning_rate: 0.079146 loss_vfl: 0.832678 loss_bbox: 0.307654 loss_dfl: 0.195307 loss: 1.341858 eta: 19:24:48 batch_cost: 3.2106 data_cost: 0.0026 ips: 39.8680 images/s [10/17 01:21:46] ppdet.engine INFO: Epoch: [212] [ 0/229] learning_rate: 0.079080 loss_vfl: 0.842443 loss_bbox: 0.314013 loss_dfl: 0.197562 loss: 1.363350 eta: 19:24:24 batch_cost: 4.1314 data_cost: 0.4494 ips: 30.9819 images/s [10/17 01:22:58] ppdet.engine INFO: Epoch: [212] [ 20/229] learning_rate: 0.078935 loss_vfl: 0.822849 loss_bbox: 0.321674 loss_dfl: 0.198392 loss: 1.348147 eta: 19:23:15 batch_cost: 3.4578 data_cost: 0.0025 ips: 37.0179 images/s [10/17 01:24:10] ppdet.engine INFO: Epoch: [212] [ 40/229] learning_rate: 0.078789 loss_vfl: 0.826170 loss_bbox: 0.309040 loss_dfl: 0.193502 loss: 1.347106 eta: 19:22:06 batch_cost: 3.4515 data_cost: 0.0024 ips: 37.0855 images/s [10/17 01:25:20] ppdet.engine INFO: Epoch: [212] [ 60/229] learning_rate: 0.078644 loss_vfl: 0.814754 loss_bbox: 0.315802 loss_dfl: 0.191585 loss: 1.340776 eta: 19:20:55 batch_cost: 3.3779 data_cost: 0.0026 ips: 37.8934 images/s [10/17 01:26:31] ppdet.engine INFO: Epoch: [212] [ 80/229] learning_rate: 0.078498 loss_vfl: 0.821551 loss_bbox: 0.307539 loss_dfl: 0.191771 loss: 1.330519 eta: 19:19:45 batch_cost: 3.3554 data_cost: 0.0025 ips: 38.1479 images/s [10/17 01:27:42] ppdet.engine INFO: Epoch: [212] [100/229] learning_rate: 0.078353 loss_vfl: 0.826891 loss_bbox: 0.314900 loss_dfl: 0.191303 loss: 1.329844 eta: 19:18:35 batch_cost: 3.4114 data_cost: 0.0025 ips: 37.5213 images/s [10/17 01:28:52] ppdet.engine INFO: Epoch: [212] [120/229] learning_rate: 0.078208 loss_vfl: 0.837426 loss_bbox: 0.319650 loss_dfl: 0.200868 loss: 1.356681 eta: 19:17:25 batch_cost: 3.3792 data_cost: 0.0029 ips: 37.8782 images/s [10/17 01:30:04] ppdet.engine INFO: Epoch: [212] [140/229] learning_rate: 0.078063 loss_vfl: 0.839777 loss_bbox: 0.327709 loss_dfl: 0.199735 loss: 1.355558 eta: 19:16:16 batch_cost: 3.4439 data_cost: 0.0024 ips: 37.1677 images/s [10/17 01:31:16] ppdet.engine INFO: Epoch: [212] [160/229] learning_rate: 0.077918 loss_vfl: 0.831325 loss_bbox: 0.312295 loss_dfl: 0.193513 loss: 1.325609 eta: 19:15:06 batch_cost: 3.4352 data_cost: 0.0023 ips: 37.2617 images/s [10/17 01:32:27] ppdet.engine INFO: Epoch: [212] [180/229] learning_rate: 0.077773 loss_vfl: 0.821918 loss_bbox: 0.318595 loss_dfl: 0.193841 loss: 1.339927 eta: 19:13:56 batch_cost: 3.4164 data_cost: 0.0024 ips: 37.4667 images/s [10/17 01:33:37] ppdet.engine INFO: Epoch: [212] [200/229] learning_rate: 0.077628 loss_vfl: 0.825200 loss_bbox: 0.323279 loss_dfl: 0.197893 loss: 1.347681 eta: 19:12:46 batch_cost: 3.3586 data_cost: 0.0024 ips: 38.1110 images/s [10/17 01:34:46] ppdet.engine INFO: Epoch: [212] [220/229] learning_rate: 0.077484 loss_vfl: 0.832603 loss_bbox: 0.309951 loss_dfl: 0.193597 loss: 1.329324 eta: 19:11:36 batch_cost: 3.2942 data_cost: 0.0030 ips: 38.8558 images/s [10/17 01:35:40] ppdet.engine INFO: Epoch: [213] [ 0/229] learning_rate: 0.077419 loss_vfl: 0.832821 loss_bbox: 0.306121 loss_dfl: 0.186172 loss: 1.316173 eta: 19:11:12 batch_cost: 4.1817 data_cost: 0.4661 ips: 30.6094 images/s [10/17 01:36:56] ppdet.engine INFO: Epoch: [213] [ 20/229] learning_rate: 0.077274 loss_vfl: 0.825075 loss_bbox: 0.316498 loss_dfl: 0.196501 loss: 1.332587 eta: 19:10:04 batch_cost: 3.6466 data_cost: 0.0025 ips: 35.1009 images/s [10/17 01:38:08] ppdet.engine INFO: Epoch: [213] [ 40/229] learning_rate: 0.077130 loss_vfl: 0.812213 loss_bbox: 0.306722 loss_dfl: 0.188271 loss: 1.319356 eta: 19:08:54 batch_cost: 3.4588 data_cost: 0.0026 ips: 37.0074 images/s [10/17 01:39:21] ppdet.engine INFO: Epoch: [213] [ 60/229] learning_rate: 0.076985 loss_vfl: 0.829823 loss_bbox: 0.306366 loss_dfl: 0.191825 loss: 1.334108 eta: 19:07:45 batch_cost: 3.5041 data_cost: 0.0026 ips: 36.5282 images/s [10/17 01:40:34] ppdet.engine INFO: Epoch: [213] [ 80/229] learning_rate: 0.076841 loss_vfl: 0.834668 loss_bbox: 0.312620 loss_dfl: 0.198949 loss: 1.349717 eta: 19:06:36 batch_cost: 3.5173 data_cost: 0.0024 ips: 36.3920 images/s [10/17 01:41:45] ppdet.engine INFO: Epoch: [213] [100/229] learning_rate: 0.076697 loss_vfl: 0.835066 loss_bbox: 0.337081 loss_dfl: 0.205069 loss: 1.365387 eta: 19:05:26 batch_cost: 3.3640 data_cost: 0.0024 ips: 38.0504 images/s [10/17 01:42:56] ppdet.engine INFO: Epoch: [213] [120/229] learning_rate: 0.076553 loss_vfl: 0.836260 loss_bbox: 0.321291 loss_dfl: 0.190631 loss: 1.337120 eta: 19:04:16 batch_cost: 3.3929 data_cost: 0.0024 ips: 37.7263 images/s [10/17 01:44:08] ppdet.engine INFO: Epoch: [213] [140/229] learning_rate: 0.076409 loss_vfl: 0.826806 loss_bbox: 0.312741 loss_dfl: 0.198636 loss: 1.344309 eta: 19:03:07 batch_cost: 3.4560 data_cost: 0.0026 ips: 37.0367 images/s [10/17 01:45:20] ppdet.engine INFO: Epoch: [213] [160/229] learning_rate: 0.076266 loss_vfl: 0.825950 loss_bbox: 0.316597 loss_dfl: 0.190779 loss: 1.351549 eta: 19:01:57 batch_cost: 3.4607 data_cost: 0.0025 ips: 36.9870 images/s [10/17 01:46:32] ppdet.engine INFO: Epoch: [213] [180/229] learning_rate: 0.076122 loss_vfl: 0.832232 loss_bbox: 0.326202 loss_dfl: 0.200604 loss: 1.355212 eta: 19:00:48 batch_cost: 3.4369 data_cost: 0.0030 ips: 37.2434 images/s [10/17 01:47:42] ppdet.engine INFO: Epoch: [213] [200/229] learning_rate: 0.075978 loss_vfl: 0.818767 loss_bbox: 0.324480 loss_dfl: 0.197014 loss: 1.343644 eta: 18:59:38 batch_cost: 3.3851 data_cost: 0.0024 ips: 37.8129 images/s [10/17 01:48:50] ppdet.engine INFO: Epoch: [213] [220/229] learning_rate: 0.075835 loss_vfl: 0.837114 loss_bbox: 0.309364 loss_dfl: 0.191544 loss: 1.333031 eta: 18:58:26 batch_cost: 3.2242 data_cost: 0.0023 ips: 39.6996 images/s [10/17 01:49:42] ppdet.engine INFO: Epoch: [214] [ 0/229] learning_rate: 0.075770 loss_vfl: 0.841073 loss_bbox: 0.308210 loss_dfl: 0.193464 loss: 1.345693 eta: 18:58:02 batch_cost: 4.0896 data_cost: 0.5337 ips: 31.2987 images/s [10/17 01:50:55] ppdet.engine INFO: Epoch: [214] [ 20/229] learning_rate: 0.075627 loss_vfl: 0.838722 loss_bbox: 0.314824 loss_dfl: 0.199721 loss: 1.360104 eta: 18:56:53 batch_cost: 3.4817 data_cost: 0.0025 ips: 36.7638 images/s [10/17 01:52:07] ppdet.engine INFO: Epoch: [214] [ 40/229] learning_rate: 0.075484 loss_vfl: 0.835137 loss_bbox: 0.314044 loss_dfl: 0.195640 loss: 1.348815 eta: 18:55:43 batch_cost: 3.4676 data_cost: 0.0026 ips: 36.9132 images/s [10/17 01:53:19] ppdet.engine INFO: Epoch: [214] [ 60/229] learning_rate: 0.075341 loss_vfl: 0.825604 loss_bbox: 0.324887 loss_dfl: 0.202830 loss: 1.350133 eta: 18:54:34 batch_cost: 3.4485 data_cost: 0.0032 ips: 37.1176 images/s [10/17 01:54:31] ppdet.engine INFO: Epoch: [214] [ 80/229] learning_rate: 0.075198 loss_vfl: 0.829515 loss_bbox: 0.314490 loss_dfl: 0.200010 loss: 1.351433 eta: 18:53:24 batch_cost: 3.4276 data_cost: 0.0024 ips: 37.3438 images/s [10/17 01:55:41] ppdet.engine INFO: Epoch: [214] [100/229] learning_rate: 0.075055 loss_vfl: 0.824836 loss_bbox: 0.321016 loss_dfl: 0.193335 loss: 1.338624 eta: 18:52:14 batch_cost: 3.3785 data_cost: 0.0038 ips: 37.8867 images/s [10/17 01:56:54] ppdet.engine INFO: Epoch: [214] [120/229] learning_rate: 0.074912 loss_vfl: 0.828355 loss_bbox: 0.318178 loss_dfl: 0.190201 loss: 1.338665 eta: 18:51:05 batch_cost: 3.4884 data_cost: 0.0026 ips: 36.6930 images/s [10/17 01:58:05] ppdet.engine INFO: Epoch: [214] [140/229] learning_rate: 0.074770 loss_vfl: 0.836357 loss_bbox: 0.321559 loss_dfl: 0.200666 loss: 1.348986 eta: 18:49:55 batch_cost: 3.3988 data_cost: 0.0031 ips: 37.6599 images/s [10/17 01:59:16] ppdet.engine INFO: Epoch: [214] [160/229] learning_rate: 0.074627 loss_vfl: 0.827198 loss_bbox: 0.321710 loss_dfl: 0.195908 loss: 1.342867 eta: 18:48:45 batch_cost: 3.3971 data_cost: 0.0024 ips: 37.6788 images/s [10/17 02:00:27] ppdet.engine INFO: Epoch: [214] [180/229] learning_rate: 0.074485 loss_vfl: 0.821950 loss_bbox: 0.315610 loss_dfl: 0.195026 loss: 1.331339 eta: 18:47:35 batch_cost: 3.3823 data_cost: 0.0024 ips: 37.8445 images/s [10/17 02:01:37] ppdet.engine INFO: Epoch: [214] [200/229] learning_rate: 0.074342 loss_vfl: 0.839560 loss_bbox: 0.323974 loss_dfl: 0.200036 loss: 1.350663 eta: 18:46:25 batch_cost: 3.3635 data_cost: 0.0025 ips: 38.0560 images/s [10/17 02:02:44] ppdet.engine INFO: Epoch: [214] [220/229] learning_rate: 0.074200 loss_vfl: 0.822101 loss_bbox: 0.316815 loss_dfl: 0.194570 loss: 1.336908 eta: 18:45:13 batch_cost: 3.1985 data_cost: 0.0024 ips: 40.0192 images/s [10/17 02:03:37] ppdet.engine INFO: Epoch: [215] [ 0/229] learning_rate: 0.074136 loss_vfl: 0.815797 loss_bbox: 0.314924 loss_dfl: 0.190697 loss: 1.311870 eta: 18:44:49 batch_cost: 4.0326 data_cost: 0.6392 ips: 31.7416 images/s [10/17 02:04:51] ppdet.engine INFO: Epoch: [215] [ 20/229] learning_rate: 0.073994 loss_vfl: 0.816911 loss_bbox: 0.316279 loss_dfl: 0.191622 loss: 1.333288 eta: 18:43:40 batch_cost: 3.5626 data_cost: 0.0027 ips: 35.9292 images/s [10/17 02:06:04] ppdet.engine INFO: Epoch: [215] [ 40/229] learning_rate: 0.073852 loss_vfl: 0.820795 loss_bbox: 0.319820 loss_dfl: 0.193194 loss: 1.332051 eta: 18:42:31 batch_cost: 3.4844 data_cost: 0.0025 ips: 36.7355 images/s [10/17 02:07:15] ppdet.engine INFO: Epoch: [215] [ 60/229] learning_rate: 0.073710 loss_vfl: 0.823048 loss_bbox: 0.320177 loss_dfl: 0.194643 loss: 1.339504 eta: 18:41:21 batch_cost: 3.4354 data_cost: 0.0024 ips: 37.2596 images/s [10/17 02:08:28] ppdet.engine INFO: Epoch: [215] [ 80/229] learning_rate: 0.073568 loss_vfl: 0.818525 loss_bbox: 0.314485 loss_dfl: 0.195778 loss: 1.333611 eta: 18:40:12 batch_cost: 3.4665 data_cost: 0.0025 ips: 36.9247 images/s [10/17 02:09:39] ppdet.engine INFO: Epoch: [215] [100/229] learning_rate: 0.073426 loss_vfl: 0.826136 loss_bbox: 0.332661 loss_dfl: 0.199654 loss: 1.365993 eta: 18:39:02 batch_cost: 3.4311 data_cost: 0.0024 ips: 37.3062 images/s [10/17 02:10:50] ppdet.engine INFO: Epoch: [215] [120/229] learning_rate: 0.073285 loss_vfl: 0.818274 loss_bbox: 0.317387 loss_dfl: 0.200659 loss: 1.350583 eta: 18:37:52 batch_cost: 3.3711 data_cost: 0.0027 ips: 37.9701 images/s [10/17 02:12:01] ppdet.engine INFO: Epoch: [215] [140/229] learning_rate: 0.073143 loss_vfl: 0.830078 loss_bbox: 0.318543 loss_dfl: 0.197028 loss: 1.339312 eta: 18:36:42 batch_cost: 3.4245 data_cost: 0.0024 ips: 37.3776 images/s [10/17 02:13:12] ppdet.engine INFO: Epoch: [215] [160/229] learning_rate: 0.073002 loss_vfl: 0.828123 loss_bbox: 0.318082 loss_dfl: 0.195821 loss: 1.348609 eta: 18:35:33 batch_cost: 3.4068 data_cost: 0.0025 ips: 37.5719 images/s [10/17 02:14:24] ppdet.engine INFO: Epoch: [215] [180/229] learning_rate: 0.072861 loss_vfl: 0.829014 loss_bbox: 0.318088 loss_dfl: 0.200610 loss: 1.360415 eta: 18:34:23 batch_cost: 3.4243 data_cost: 0.0024 ips: 37.3803 images/s [10/17 02:15:36] ppdet.engine INFO: Epoch: [215] [200/229] learning_rate: 0.072720 loss_vfl: 0.821889 loss_bbox: 0.309668 loss_dfl: 0.195351 loss: 1.335294 eta: 18:33:14 batch_cost: 3.4847 data_cost: 0.0024 ips: 36.7325 images/s [10/17 02:16:47] ppdet.engine INFO: Epoch: [215] [220/229] learning_rate: 0.072579 loss_vfl: 0.829336 loss_bbox: 0.325263 loss_dfl: 0.194792 loss: 1.349537 eta: 18:32:03 batch_cost: 3.3473 data_cost: 0.0025 ips: 38.2402 images/s [10/17 02:17:42] ppdet.engine INFO: Epoch: [216] [ 0/229] learning_rate: 0.072515 loss_vfl: 0.846887 loss_bbox: 0.325263 loss_dfl: 0.197544 loss: 1.351982 eta: 18:31:40 batch_cost: 4.3238 data_cost: 0.3584 ips: 29.6035 images/s [10/17 02:18:59] ppdet.engine INFO: Epoch: [216] [ 20/229] learning_rate: 0.072374 loss_vfl: 0.816616 loss_bbox: 0.308614 loss_dfl: 0.186767 loss: 1.319466 eta: 18:30:32 batch_cost: 3.6942 data_cost: 0.0027 ips: 34.6485 images/s [10/17 02:20:11] ppdet.engine INFO: Epoch: [216] [ 40/229] learning_rate: 0.072234 loss_vfl: 0.827200 loss_bbox: 0.309954 loss_dfl: 0.191166 loss: 1.320571 eta: 18:29:23 batch_cost: 3.4518 data_cost: 0.0025 ips: 37.0823 images/s [10/17 02:21:23] ppdet.engine INFO: Epoch: [216] [ 60/229] learning_rate: 0.072093 loss_vfl: 0.834852 loss_bbox: 0.331152 loss_dfl: 0.204215 loss: 1.367754 eta: 18:28:13 batch_cost: 3.4285 data_cost: 0.0025 ips: 37.3341 images/s [10/17 02:22:35] ppdet.engine INFO: Epoch: [216] [ 80/229] learning_rate: 0.071952 loss_vfl: 0.828156 loss_bbox: 0.317694 loss_dfl: 0.198439 loss: 1.343540 eta: 18:27:04 batch_cost: 3.4474 data_cost: 0.0025 ips: 37.1291 images/s [10/17 02:23:47] ppdet.engine INFO: Epoch: [216] [100/229] learning_rate: 0.071812 loss_vfl: 0.824405 loss_bbox: 0.317439 loss_dfl: 0.197277 loss: 1.342809 eta: 18:25:54 batch_cost: 3.4312 data_cost: 0.0024 ips: 37.3047 images/s [10/17 02:24:59] ppdet.engine INFO: Epoch: [216] [120/229] learning_rate: 0.071671 loss_vfl: 0.832906 loss_bbox: 0.329833 loss_dfl: 0.199041 loss: 1.357769 eta: 18:24:45 batch_cost: 3.4643 data_cost: 0.0025 ips: 36.9487 images/s [10/17 02:26:11] ppdet.engine INFO: Epoch: [216] [140/229] learning_rate: 0.071531 loss_vfl: 0.834076 loss_bbox: 0.302767 loss_dfl: 0.190153 loss: 1.334652 eta: 18:23:35 batch_cost: 3.4364 data_cost: 0.0024 ips: 37.2484 images/s [10/17 02:27:23] ppdet.engine INFO: Epoch: [216] [160/229] learning_rate: 0.071391 loss_vfl: 0.845930 loss_bbox: 0.305854 loss_dfl: 0.187848 loss: 1.336969 eta: 18:22:26 batch_cost: 3.4697 data_cost: 0.0024 ips: 36.8910 images/s [10/17 02:28:33] ppdet.engine INFO: Epoch: [216] [180/229] learning_rate: 0.071251 loss_vfl: 0.834641 loss_bbox: 0.311189 loss_dfl: 0.193589 loss: 1.341854 eta: 18:21:16 batch_cost: 3.3688 data_cost: 0.0024 ips: 37.9958 images/s [10/17 02:29:43] ppdet.engine INFO: Epoch: [216] [200/229] learning_rate: 0.071111 loss_vfl: 0.828156 loss_bbox: 0.312301 loss_dfl: 0.196383 loss: 1.340704 eta: 18:20:05 batch_cost: 3.3169 data_cost: 0.0024 ips: 38.5899 images/s [10/17 02:30:49] ppdet.engine INFO: Epoch: [216] [220/229] learning_rate: 0.070971 loss_vfl: 0.833437 loss_bbox: 0.316612 loss_dfl: 0.198187 loss: 1.346909 eta: 18:18:53 batch_cost: 3.1759 data_cost: 0.0024 ips: 40.3031 images/s [10/17 02:31:38] ppdet.engine INFO: Epoch: [217] [ 0/229] learning_rate: 0.070908 loss_vfl: 0.832076 loss_bbox: 0.311711 loss_dfl: 0.192411 loss: 1.341578 eta: 18:18:27 batch_cost: 3.8557 data_cost: 0.4126 ips: 33.1977 images/s [10/17 02:32:52] ppdet.engine INFO: Epoch: [217] [ 20/229] learning_rate: 0.070769 loss_vfl: 0.834252 loss_bbox: 0.319778 loss_dfl: 0.196033 loss: 1.346032 eta: 18:17:18 batch_cost: 3.5553 data_cost: 0.0024 ips: 36.0030 images/s [10/17 02:34:02] ppdet.engine INFO: Epoch: [217] [ 40/229] learning_rate: 0.070629 loss_vfl: 0.829201 loss_bbox: 0.318714 loss_dfl: 0.198571 loss: 1.328864 eta: 18:16:08 batch_cost: 3.3410 data_cost: 0.0024 ips: 38.3120 images/s [10/17 02:35:14] ppdet.engine INFO: Epoch: [217] [ 60/229] learning_rate: 0.070490 loss_vfl: 0.837123 loss_bbox: 0.307547 loss_dfl: 0.196684 loss: 1.320108 eta: 18:14:59 batch_cost: 3.4635 data_cost: 0.0024 ips: 36.9573 images/s [10/17 02:36:23] ppdet.engine INFO: Epoch: [217] [ 80/229] learning_rate: 0.070350 loss_vfl: 0.827577 loss_bbox: 0.324206 loss_dfl: 0.194022 loss: 1.337978 eta: 18:13:48 batch_cost: 3.3239 data_cost: 0.0025 ips: 38.5087 images/s [10/17 02:37:33] ppdet.engine INFO: Epoch: [217] [100/229] learning_rate: 0.070211 loss_vfl: 0.814994 loss_bbox: 0.318588 loss_dfl: 0.188689 loss: 1.323546 eta: 18:12:38 batch_cost: 3.3511 data_cost: 0.0024 ips: 38.1964 images/s [10/17 02:38:43] ppdet.engine INFO: Epoch: [217] [120/229] learning_rate: 0.070072 loss_vfl: 0.830566 loss_bbox: 0.321080 loss_dfl: 0.199300 loss: 1.350868 eta: 18:11:28 batch_cost: 3.3590 data_cost: 0.0024 ips: 38.1069 images/s [10/17 02:39:54] ppdet.engine INFO: Epoch: [217] [140/229] learning_rate: 0.069933 loss_vfl: 0.828834 loss_bbox: 0.314793 loss_dfl: 0.197195 loss: 1.344739 eta: 18:10:18 batch_cost: 3.3826 data_cost: 0.0024 ips: 37.8407 images/s [10/17 02:41:03] ppdet.engine INFO: Epoch: [217] [160/229] learning_rate: 0.069794 loss_vfl: 0.836810 loss_bbox: 0.304924 loss_dfl: 0.195823 loss: 1.337791 eta: 18:09:07 batch_cost: 3.3238 data_cost: 0.0024 ips: 38.5096 images/s [10/17 02:42:14] ppdet.engine INFO: Epoch: [217] [180/229] learning_rate: 0.069655 loss_vfl: 0.824388 loss_bbox: 0.325224 loss_dfl: 0.195964 loss: 1.345172 eta: 18:07:58 batch_cost: 3.4038 data_cost: 0.0025 ips: 37.6051 images/s [10/17 02:43:24] ppdet.engine INFO: Epoch: [217] [200/229] learning_rate: 0.069517 loss_vfl: 0.834190 loss_bbox: 0.307214 loss_dfl: 0.192092 loss: 1.334512 eta: 18:06:47 batch_cost: 3.3417 data_cost: 0.0024 ips: 38.3042 images/s [10/17 02:44:33] ppdet.engine INFO: Epoch: [217] [220/229] learning_rate: 0.069378 loss_vfl: 0.832236 loss_bbox: 0.313695 loss_dfl: 0.193453 loss: 1.339837 eta: 18:05:36 batch_cost: 3.2647 data_cost: 0.0024 ips: 39.2077 images/s [10/17 02:45:29] ppdet.engine INFO: Epoch: [218] [ 0/229] learning_rate: 0.069316 loss_vfl: 0.835922 loss_bbox: 0.306101 loss_dfl: 0.192808 loss: 1.343882 eta: 18:05:13 batch_cost: 4.3223 data_cost: 0.7283 ips: 29.6140 images/s [10/17 02:46:40] ppdet.engine INFO: Epoch: [218] [ 20/229] learning_rate: 0.069177 loss_vfl: 0.817966 loss_bbox: 0.312253 loss_dfl: 0.194763 loss: 1.316749 eta: 18:04:03 batch_cost: 3.4060 data_cost: 0.0029 ips: 37.5810 images/s [10/17 02:47:51] ppdet.engine INFO: Epoch: [218] [ 40/229] learning_rate: 0.069039 loss_vfl: 0.826951 loss_bbox: 0.328603 loss_dfl: 0.193541 loss: 1.337034 eta: 18:02:53 batch_cost: 3.3835 data_cost: 0.0026 ips: 37.8312 images/s [10/17 02:49:04] ppdet.engine INFO: Epoch: [218] [ 60/229] learning_rate: 0.068901 loss_vfl: 0.836856 loss_bbox: 0.298135 loss_dfl: 0.187491 loss: 1.322445 eta: 18:01:44 batch_cost: 3.4868 data_cost: 0.0025 ips: 36.7100 images/s [10/17 02:50:15] ppdet.engine INFO: Epoch: [218] [ 80/229] learning_rate: 0.068763 loss_vfl: 0.822484 loss_bbox: 0.308977 loss_dfl: 0.190517 loss: 1.331934 eta: 18:00:34 batch_cost: 3.4489 data_cost: 0.0023 ips: 37.1136 images/s [10/17 02:51:26] ppdet.engine INFO: Epoch: [218] [100/229] learning_rate: 0.068625 loss_vfl: 0.818965 loss_bbox: 0.323475 loss_dfl: 0.197960 loss: 1.333924 eta: 17:59:24 batch_cost: 3.3774 data_cost: 0.0024 ips: 37.8989 images/s [10/17 02:52:37] ppdet.engine INFO: Epoch: [218] [120/229] learning_rate: 0.068487 loss_vfl: 0.828119 loss_bbox: 0.314349 loss_dfl: 0.201713 loss: 1.363243 eta: 17:58:14 batch_cost: 3.4065 data_cost: 0.0025 ips: 37.5749 images/s [10/17 02:53:48] ppdet.engine INFO: Epoch: [218] [140/229] learning_rate: 0.068349 loss_vfl: 0.826953 loss_bbox: 0.316496 loss_dfl: 0.197225 loss: 1.348063 eta: 17:57:05 batch_cost: 3.4157 data_cost: 0.0024 ips: 37.4741 images/s [10/17 02:55:01] ppdet.engine INFO: Epoch: [218] [160/229] learning_rate: 0.068212 loss_vfl: 0.839967 loss_bbox: 0.311241 loss_dfl: 0.197899 loss: 1.350292 eta: 17:55:56 batch_cost: 3.5032 data_cost: 0.0027 ips: 36.5384 images/s [10/17 02:56:13] ppdet.engine INFO: Epoch: [218] [180/229] learning_rate: 0.068074 loss_vfl: 0.829947 loss_bbox: 0.323258 loss_dfl: 0.201170 loss: 1.353529 eta: 17:54:46 batch_cost: 3.4579 data_cost: 0.0025 ips: 37.0169 images/s [10/17 02:57:25] ppdet.engine INFO: Epoch: [218] [200/229] learning_rate: 0.067937 loss_vfl: 0.839005 loss_bbox: 0.313256 loss_dfl: 0.195104 loss: 1.339964 eta: 17:53:36 batch_cost: 3.4131 data_cost: 0.0024 ips: 37.5023 images/s [10/17 02:58:32] ppdet.engine INFO: Epoch: [218] [220/229] learning_rate: 0.067799 loss_vfl: 0.817881 loss_bbox: 0.316941 loss_dfl: 0.195445 loss: 1.331550 eta: 17:52:25 batch_cost: 3.2174 data_cost: 0.0023 ips: 39.7835 images/s [10/17 02:59:30] ppdet.engine INFO: Epoch: [219] [ 0/229] learning_rate: 0.067738 loss_vfl: 0.812135 loss_bbox: 0.318686 loss_dfl: 0.195401 loss: 1.339206 eta: 17:52:02 batch_cost: 4.3535 data_cost: 0.7111 ips: 29.4019 images/s [10/17 03:00:44] ppdet.engine INFO: Epoch: [219] [ 20/229] learning_rate: 0.067600 loss_vfl: 0.841706 loss_bbox: 0.311246 loss_dfl: 0.201021 loss: 1.343384 eta: 17:50:53 batch_cost: 3.5245 data_cost: 0.0030 ips: 36.3168 images/s [10/17 03:01:55] ppdet.engine INFO: Epoch: [219] [ 40/229] learning_rate: 0.067463 loss_vfl: 0.826311 loss_bbox: 0.312296 loss_dfl: 0.197462 loss: 1.325359 eta: 17:49:43 batch_cost: 3.3936 data_cost: 0.0027 ips: 37.7181 images/s [10/17 03:03:06] ppdet.engine INFO: Epoch: [219] [ 60/229] learning_rate: 0.067327 loss_vfl: 0.811122 loss_bbox: 0.310929 loss_dfl: 0.194065 loss: 1.323352 eta: 17:48:34 batch_cost: 3.4097 data_cost: 0.0026 ips: 37.5403 images/s [10/17 03:04:15] ppdet.engine INFO: Epoch: [219] [ 80/229] learning_rate: 0.067190 loss_vfl: 0.822178 loss_bbox: 0.318825 loss_dfl: 0.191488 loss: 1.336438 eta: 17:47:23 batch_cost: 3.3040 data_cost: 0.0025 ips: 38.7406 images/s [10/17 03:05:25] ppdet.engine INFO: Epoch: [219] [100/229] learning_rate: 0.067053 loss_vfl: 0.818804 loss_bbox: 0.311670 loss_dfl: 0.192921 loss: 1.326297 eta: 17:46:13 batch_cost: 3.3731 data_cost: 0.0026 ips: 37.9475 images/s [10/17 03:06:37] ppdet.engine INFO: Epoch: [219] [120/229] learning_rate: 0.066916 loss_vfl: 0.823595 loss_bbox: 0.312633 loss_dfl: 0.195804 loss: 1.340657 eta: 17:45:03 batch_cost: 3.4102 data_cost: 0.0023 ips: 37.5345 images/s [10/17 03:07:49] ppdet.engine INFO: Epoch: [219] [140/229] learning_rate: 0.066780 loss_vfl: 0.829082 loss_bbox: 0.328824 loss_dfl: 0.201502 loss: 1.351576 eta: 17:43:54 batch_cost: 3.4721 data_cost: 0.0025 ips: 36.8653 images/s [10/17 03:09:01] ppdet.engine INFO: Epoch: [219] [160/229] learning_rate: 0.066644 loss_vfl: 0.832549 loss_bbox: 0.304934 loss_dfl: 0.192935 loss: 1.337622 eta: 17:42:44 batch_cost: 3.4467 data_cost: 0.0025 ips: 37.1366 images/s [10/17 03:10:11] ppdet.engine INFO: Epoch: [219] [180/229] learning_rate: 0.066507 loss_vfl: 0.827591 loss_bbox: 0.319603 loss_dfl: 0.195380 loss: 1.354604 eta: 17:41:34 batch_cost: 3.3718 data_cost: 0.0031 ips: 37.9620 images/s [10/17 03:11:21] ppdet.engine INFO: Epoch: [219] [200/229] learning_rate: 0.066371 loss_vfl: 0.826473 loss_bbox: 0.323530 loss_dfl: 0.201262 loss: 1.349880 eta: 17:40:24 batch_cost: 3.3320 data_cost: 0.0023 ips: 38.4153 images/s [10/17 03:12:29] ppdet.engine INFO: Epoch: [219] [220/229] learning_rate: 0.066235 loss_vfl: 0.829089 loss_bbox: 0.313964 loss_dfl: 0.197237 loss: 1.332109 eta: 17:39:13 batch_cost: 3.2773 data_cost: 0.0023 ips: 39.0567 images/s [10/17 03:12:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 03:12:58] ppdet.engine INFO: Eval iter: 0 [10/17 03:13:37] ppdet.engine INFO: Eval iter: 100 [10/17 03:13:59] ppdet.engine INFO: Eval iter: 200 [10/17 03:14:21] ppdet.engine INFO: Eval iter: 300 [10/17 03:14:44] ppdet.engine INFO: Eval iter: 400 [10/17 03:15:07] ppdet.engine INFO: Eval iter: 500 [10/17 03:15:31] ppdet.engine INFO: Eval iter: 600 [10/17 03:15:51] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.97s) creating index... index created! [10/17 03:15:52] 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=95.18s). Accumulating evaluation results... DONE (t=18.15s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.269 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.410 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.280 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.078 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.267 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.467 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.251 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.394 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.420 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 ] = 0.463 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.683 [10/17 03:17:52] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.22704998653552 [10/17 03:17:52] ppdet.engine INFO: Best test bbox ap is 0.269. [10/17 03:17:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 03:17:56] ppdet.engine INFO: Epoch: [220] [ 0/229] learning_rate: 0.066174 loss_vfl: 0.832480 loss_bbox: 0.319926 loss_dfl: 0.196723 loss: 1.349435 eta: 17:38:40 batch_cost: 3.0542 data_cost: 0.0023 ips: 41.9101 images/s [10/17 03:19:10] ppdet.engine INFO: Epoch: [220] [ 20/229] learning_rate: 0.066038 loss_vfl: 0.821348 loss_bbox: 0.307477 loss_dfl: 0.189277 loss: 1.334027 eta: 17:37:32 batch_cost: 3.5980 data_cost: 0.0029 ips: 35.5749 images/s [10/17 03:20:22] ppdet.engine INFO: Epoch: [220] [ 40/229] learning_rate: 0.065902 loss_vfl: 0.817435 loss_bbox: 0.310438 loss_dfl: 0.197616 loss: 1.346310 eta: 17:36:22 batch_cost: 3.4415 data_cost: 0.0024 ips: 37.1928 images/s [10/17 03:21:34] ppdet.engine INFO: Epoch: [220] [ 60/229] learning_rate: 0.065767 loss_vfl: 0.825018 loss_bbox: 0.306163 loss_dfl: 0.192599 loss: 1.330663 eta: 17:35:13 batch_cost: 3.4430 data_cost: 0.0025 ips: 37.1773 images/s [10/17 03:22:44] ppdet.engine INFO: Epoch: [220] [ 80/229] learning_rate: 0.065631 loss_vfl: 0.836435 loss_bbox: 0.313940 loss_dfl: 0.194218 loss: 1.335072 eta: 17:34:03 batch_cost: 3.3423 data_cost: 0.0025 ips: 38.2974 images/s [10/17 03:23:54] ppdet.engine INFO: Epoch: [220] [100/229] learning_rate: 0.065496 loss_vfl: 0.819789 loss_bbox: 0.319463 loss_dfl: 0.194936 loss: 1.334802 eta: 17:32:52 batch_cost: 3.3658 data_cost: 0.0025 ips: 38.0297 images/s [10/17 03:25:07] ppdet.engine INFO: Epoch: [220] [120/229] learning_rate: 0.065360 loss_vfl: 0.816094 loss_bbox: 0.324939 loss_dfl: 0.192857 loss: 1.353391 eta: 17:31:43 batch_cost: 3.4928 data_cost: 0.0024 ips: 36.6466 images/s [10/17 03:26:18] ppdet.engine INFO: Epoch: [220] [140/229] learning_rate: 0.065225 loss_vfl: 0.835734 loss_bbox: 0.324702 loss_dfl: 0.197983 loss: 1.339753 eta: 17:30:34 batch_cost: 3.4167 data_cost: 0.0025 ips: 37.4633 images/s [10/17 03:27:29] ppdet.engine INFO: Epoch: [220] [160/229] learning_rate: 0.065090 loss_vfl: 0.834831 loss_bbox: 0.328036 loss_dfl: 0.198803 loss: 1.359281 eta: 17:29:23 batch_cost: 3.3533 data_cost: 0.0024 ips: 38.1712 images/s [10/17 03:28:39] ppdet.engine INFO: Epoch: [220] [180/229] learning_rate: 0.064955 loss_vfl: 0.828715 loss_bbox: 0.305174 loss_dfl: 0.190802 loss: 1.327219 eta: 17:28:13 batch_cost: 3.3534 data_cost: 0.0025 ips: 38.1699 images/s [10/17 03:29:51] ppdet.engine INFO: Epoch: [220] [200/229] learning_rate: 0.064820 loss_vfl: 0.840080 loss_bbox: 0.303436 loss_dfl: 0.190046 loss: 1.324807 eta: 17:27:04 batch_cost: 3.4435 data_cost: 0.0024 ips: 37.1718 images/s [10/17 03:30:58] ppdet.engine INFO: Epoch: [220] [220/229] learning_rate: 0.064685 loss_vfl: 0.825348 loss_bbox: 0.320533 loss_dfl: 0.198939 loss: 1.339486 eta: 17:25:53 batch_cost: 3.2317 data_cost: 0.0023 ips: 39.6081 images/s [10/17 03:31:56] ppdet.engine INFO: Epoch: [221] [ 0/229] learning_rate: 0.064625 loss_vfl: 0.831727 loss_bbox: 0.315553 loss_dfl: 0.197741 loss: 1.352906 eta: 17:25:29 batch_cost: 4.3796 data_cost: 0.6681 ips: 29.2262 images/s [10/17 03:33:09] ppdet.engine INFO: Epoch: [221] [ 20/229] learning_rate: 0.064490 loss_vfl: 0.842300 loss_bbox: 0.313050 loss_dfl: 0.193321 loss: 1.335435 eta: 17:24:20 batch_cost: 3.5044 data_cost: 0.0035 ips: 36.5255 images/s [10/17 03:34:21] ppdet.engine INFO: Epoch: [221] [ 40/229] learning_rate: 0.064356 loss_vfl: 0.815250 loss_bbox: 0.305240 loss_dfl: 0.183100 loss: 1.292980 eta: 17:23:11 batch_cost: 3.4572 data_cost: 0.0025 ips: 37.0245 images/s [10/17 03:35:31] ppdet.engine INFO: Epoch: [221] [ 60/229] learning_rate: 0.064221 loss_vfl: 0.821411 loss_bbox: 0.311322 loss_dfl: 0.190422 loss: 1.328051 eta: 17:22:00 batch_cost: 3.3487 data_cost: 0.0026 ips: 38.2240 images/s [10/17 03:36:42] ppdet.engine INFO: Epoch: [221] [ 80/229] learning_rate: 0.064087 loss_vfl: 0.822963 loss_bbox: 0.311702 loss_dfl: 0.191170 loss: 1.319130 eta: 17:20:51 batch_cost: 3.4361 data_cost: 0.0024 ips: 37.2516 images/s [10/17 03:37:55] ppdet.engine INFO: Epoch: [221] [100/229] learning_rate: 0.063953 loss_vfl: 0.825851 loss_bbox: 0.312614 loss_dfl: 0.202422 loss: 1.340317 eta: 17:19:42 batch_cost: 3.4726 data_cost: 0.0024 ips: 36.8598 images/s [10/17 03:39:05] ppdet.engine INFO: Epoch: [221] [120/229] learning_rate: 0.063819 loss_vfl: 0.825394 loss_bbox: 0.316902 loss_dfl: 0.196501 loss: 1.341635 eta: 17:18:32 batch_cost: 3.3650 data_cost: 0.0025 ips: 38.0391 images/s [10/17 03:40:15] ppdet.engine INFO: Epoch: [221] [140/229] learning_rate: 0.063685 loss_vfl: 0.821407 loss_bbox: 0.314669 loss_dfl: 0.191436 loss: 1.333398 eta: 17:17:22 batch_cost: 3.3774 data_cost: 0.0025 ips: 37.8992 images/s [10/17 03:41:27] ppdet.engine INFO: Epoch: [221] [160/229] learning_rate: 0.063551 loss_vfl: 0.819559 loss_bbox: 0.307382 loss_dfl: 0.190074 loss: 1.316175 eta: 17:16:12 batch_cost: 3.4286 data_cost: 0.0026 ips: 37.3329 images/s [10/17 03:42:38] ppdet.engine INFO: Epoch: [221] [180/229] learning_rate: 0.063418 loss_vfl: 0.824548 loss_bbox: 0.333985 loss_dfl: 0.196937 loss: 1.357952 eta: 17:15:02 batch_cost: 3.3895 data_cost: 0.0034 ips: 37.7632 images/s [10/17 03:43:50] ppdet.engine INFO: Epoch: [221] [200/229] learning_rate: 0.063284 loss_vfl: 0.820230 loss_bbox: 0.318220 loss_dfl: 0.194959 loss: 1.343747 eta: 17:13:53 batch_cost: 3.4644 data_cost: 0.0026 ips: 36.9475 images/s [10/17 03:44:58] ppdet.engine INFO: Epoch: [221] [220/229] learning_rate: 0.063151 loss_vfl: 0.820286 loss_bbox: 0.308348 loss_dfl: 0.194434 loss: 1.329173 eta: 17:12:42 batch_cost: 3.2587 data_cost: 0.0024 ips: 39.2800 images/s [10/17 03:45:52] ppdet.engine INFO: Epoch: [222] [ 0/229] learning_rate: 0.063091 loss_vfl: 0.825211 loss_bbox: 0.306489 loss_dfl: 0.188537 loss: 1.313603 eta: 17:12:17 batch_cost: 4.2158 data_cost: 0.4569 ips: 30.3622 images/s [10/17 03:47:02] ppdet.engine INFO: Epoch: [222] [ 20/229] learning_rate: 0.062957 loss_vfl: 0.823779 loss_bbox: 0.309113 loss_dfl: 0.193801 loss: 1.329303 eta: 17:11:07 batch_cost: 3.3285 data_cost: 0.0025 ips: 38.4555 images/s [10/17 03:48:13] ppdet.engine INFO: Epoch: [222] [ 40/229] learning_rate: 0.062824 loss_vfl: 0.819390 loss_bbox: 0.325065 loss_dfl: 0.200783 loss: 1.353299 eta: 17:09:57 batch_cost: 3.3886 data_cost: 0.0026 ips: 37.7734 images/s [10/17 03:49:23] ppdet.engine INFO: Epoch: [222] [ 60/229] learning_rate: 0.062691 loss_vfl: 0.828684 loss_bbox: 0.308988 loss_dfl: 0.197713 loss: 1.326450 eta: 17:08:47 batch_cost: 3.3646 data_cost: 0.0024 ips: 38.0428 images/s [10/17 03:50:35] ppdet.engine INFO: Epoch: [222] [ 80/229] learning_rate: 0.062558 loss_vfl: 0.807806 loss_bbox: 0.323601 loss_dfl: 0.191760 loss: 1.317987 eta: 17:07:37 batch_cost: 3.4492 data_cost: 0.0034 ips: 37.1100 images/s [10/17 03:51:46] ppdet.engine INFO: Epoch: [222] [100/229] learning_rate: 0.062425 loss_vfl: 0.824415 loss_bbox: 0.312206 loss_dfl: 0.194997 loss: 1.333798 eta: 17:06:27 batch_cost: 3.3916 data_cost: 0.0025 ips: 37.7406 images/s [10/17 03:52:57] ppdet.engine INFO: Epoch: [222] [120/229] learning_rate: 0.062293 loss_vfl: 0.818872 loss_bbox: 0.325139 loss_dfl: 0.197820 loss: 1.342403 eta: 17:05:18 batch_cost: 3.4082 data_cost: 0.0025 ips: 37.5565 images/s [10/17 03:54:07] ppdet.engine INFO: Epoch: [222] [140/229] learning_rate: 0.062160 loss_vfl: 0.813525 loss_bbox: 0.309204 loss_dfl: 0.196949 loss: 1.320357 eta: 17:04:08 batch_cost: 3.3822 data_cost: 0.0025 ips: 37.8451 images/s [10/17 03:55:19] ppdet.engine INFO: Epoch: [222] [160/229] learning_rate: 0.062028 loss_vfl: 0.821086 loss_bbox: 0.328510 loss_dfl: 0.200401 loss: 1.358487 eta: 17:02:58 batch_cost: 3.4259 data_cost: 0.0029 ips: 37.3627 images/s [10/17 03:56:29] ppdet.engine INFO: Epoch: [222] [180/229] learning_rate: 0.061895 loss_vfl: 0.829735 loss_bbox: 0.294144 loss_dfl: 0.189020 loss: 1.313064 eta: 17:01:48 batch_cost: 3.3845 data_cost: 0.0027 ips: 37.8195 images/s [10/17 03:57:40] ppdet.engine INFO: Epoch: [222] [200/229] learning_rate: 0.061763 loss_vfl: 0.818414 loss_bbox: 0.306757 loss_dfl: 0.197592 loss: 1.355982 eta: 17:00:38 batch_cost: 3.3935 data_cost: 0.0030 ips: 37.7189 images/s [10/17 03:58:50] ppdet.engine INFO: Epoch: [222] [220/229] learning_rate: 0.061631 loss_vfl: 0.831718 loss_bbox: 0.312819 loss_dfl: 0.195597 loss: 1.342718 eta: 16:59:28 batch_cost: 3.3521 data_cost: 0.0024 ips: 38.1847 images/s [10/17 03:59:47] ppdet.engine INFO: Epoch: [223] [ 0/229] learning_rate: 0.061571 loss_vfl: 0.829613 loss_bbox: 0.307257 loss_dfl: 0.193192 loss: 1.333391 eta: 16:59:04 batch_cost: 4.3839 data_cost: 0.3824 ips: 29.1978 images/s [10/17 04:01:01] ppdet.engine INFO: Epoch: [223] [ 20/229] learning_rate: 0.061439 loss_vfl: 0.812040 loss_bbox: 0.310992 loss_dfl: 0.194467 loss: 1.309260 eta: 16:57:55 batch_cost: 3.5167 data_cost: 0.0028 ips: 36.3973 images/s [10/17 04:02:14] ppdet.engine INFO: Epoch: [223] [ 40/229] learning_rate: 0.061308 loss_vfl: 0.815646 loss_bbox: 0.315560 loss_dfl: 0.191723 loss: 1.331254 eta: 16:56:46 batch_cost: 3.5136 data_cost: 0.0040 ips: 36.4295 images/s [10/17 04:03:27] ppdet.engine INFO: Epoch: [223] [ 60/229] learning_rate: 0.061176 loss_vfl: 0.818664 loss_bbox: 0.318025 loss_dfl: 0.201546 loss: 1.344687 eta: 16:55:37 batch_cost: 3.4765 data_cost: 0.0026 ips: 36.8184 images/s [10/17 04:04:40] ppdet.engine INFO: Epoch: [223] [ 80/229] learning_rate: 0.061044 loss_vfl: 0.808648 loss_bbox: 0.315352 loss_dfl: 0.192157 loss: 1.319614 eta: 16:54:28 batch_cost: 3.5148 data_cost: 0.0025 ips: 36.4171 images/s [10/17 04:05:52] ppdet.engine INFO: Epoch: [223] [100/229] learning_rate: 0.060913 loss_vfl: 0.822916 loss_bbox: 0.309437 loss_dfl: 0.191877 loss: 1.335167 eta: 16:53:18 batch_cost: 3.4664 data_cost: 0.0026 ips: 36.9263 images/s [10/17 04:07:05] ppdet.engine INFO: Epoch: [223] [120/229] learning_rate: 0.060781 loss_vfl: 0.827357 loss_bbox: 0.312999 loss_dfl: 0.195601 loss: 1.342798 eta: 16:52:09 batch_cost: 3.5064 data_cost: 0.0026 ips: 36.5047 images/s [10/17 04:08:17] ppdet.engine INFO: Epoch: [223] [140/229] learning_rate: 0.060650 loss_vfl: 0.811582 loss_bbox: 0.313194 loss_dfl: 0.199649 loss: 1.333311 eta: 16:51:00 batch_cost: 3.4440 data_cost: 0.0025 ips: 37.1659 images/s [10/17 04:09:28] ppdet.engine INFO: Epoch: [223] [160/229] learning_rate: 0.060519 loss_vfl: 0.810113 loss_bbox: 0.329466 loss_dfl: 0.198445 loss: 1.328809 eta: 16:49:50 batch_cost: 3.3790 data_cost: 0.0031 ips: 37.8811 images/s [10/17 04:10:39] ppdet.engine INFO: Epoch: [223] [180/229] learning_rate: 0.060388 loss_vfl: 0.833231 loss_bbox: 0.318623 loss_dfl: 0.193375 loss: 1.342240 eta: 16:48:40 batch_cost: 3.4083 data_cost: 0.0024 ips: 37.5558 images/s [10/17 04:11:51] ppdet.engine INFO: Epoch: [223] [200/229] learning_rate: 0.060257 loss_vfl: 0.829941 loss_bbox: 0.320274 loss_dfl: 0.193888 loss: 1.344325 eta: 16:47:31 batch_cost: 3.4511 data_cost: 0.0028 ips: 37.0900 images/s [10/17 04:12:59] ppdet.engine INFO: Epoch: [223] [220/229] learning_rate: 0.060126 loss_vfl: 0.825876 loss_bbox: 0.311664 loss_dfl: 0.191686 loss: 1.327762 eta: 16:46:20 batch_cost: 3.2564 data_cost: 0.0023 ips: 39.3068 images/s [10/17 04:13:54] ppdet.engine INFO: Epoch: [224] [ 0/229] learning_rate: 0.060067 loss_vfl: 0.825314 loss_bbox: 0.306185 loss_dfl: 0.192197 loss: 1.327762 eta: 16:45:55 batch_cost: 4.2040 data_cost: 0.7041 ips: 30.4470 images/s [10/17 04:15:04] ppdet.engine INFO: Epoch: [224] [ 20/229] learning_rate: 0.059937 loss_vfl: 0.815126 loss_bbox: 0.307719 loss_dfl: 0.189991 loss: 1.330480 eta: 16:44:45 batch_cost: 3.3676 data_cost: 0.0034 ips: 38.0092 images/s [10/17 04:16:15] ppdet.engine INFO: Epoch: [224] [ 40/229] learning_rate: 0.059806 loss_vfl: 0.821183 loss_bbox: 0.307588 loss_dfl: 0.192430 loss: 1.317230 eta: 16:43:35 batch_cost: 3.3775 data_cost: 0.0028 ips: 37.8983 images/s [10/17 04:17:29] ppdet.engine INFO: Epoch: [224] [ 60/229] learning_rate: 0.059676 loss_vfl: 0.823419 loss_bbox: 0.316913 loss_dfl: 0.196900 loss: 1.314853 eta: 16:42:26 batch_cost: 3.5319 data_cost: 0.0026 ips: 36.2407 images/s [10/17 04:18:40] ppdet.engine INFO: Epoch: [224] [ 80/229] learning_rate: 0.059546 loss_vfl: 0.820614 loss_bbox: 0.318174 loss_dfl: 0.193103 loss: 1.334278 eta: 16:41:17 batch_cost: 3.4306 data_cost: 0.0025 ips: 37.3117 images/s [10/17 04:19:52] ppdet.engine INFO: Epoch: [224] [100/229] learning_rate: 0.059415 loss_vfl: 0.820640 loss_bbox: 0.307520 loss_dfl: 0.195988 loss: 1.334368 eta: 16:40:07 batch_cost: 3.4354 data_cost: 0.0024 ips: 37.2592 images/s [10/17 04:21:02] ppdet.engine INFO: Epoch: [224] [120/229] learning_rate: 0.059285 loss_vfl: 0.829620 loss_bbox: 0.325876 loss_dfl: 0.200791 loss: 1.347992 eta: 16:38:57 batch_cost: 3.3734 data_cost: 0.0025 ips: 37.9441 images/s [10/17 04:22:13] ppdet.engine INFO: Epoch: [224] [140/229] learning_rate: 0.059155 loss_vfl: 0.823476 loss_bbox: 0.315202 loss_dfl: 0.196812 loss: 1.336780 eta: 16:37:47 batch_cost: 3.3630 data_cost: 0.0025 ips: 38.0611 images/s [10/17 04:23:23] ppdet.engine INFO: Epoch: [224] [160/229] learning_rate: 0.059026 loss_vfl: 0.826418 loss_bbox: 0.303974 loss_dfl: 0.190744 loss: 1.338348 eta: 16:36:37 batch_cost: 3.3476 data_cost: 0.0024 ips: 38.2358 images/s [10/17 04:24:32] ppdet.engine INFO: Epoch: [224] [180/229] learning_rate: 0.058896 loss_vfl: 0.829957 loss_bbox: 0.312894 loss_dfl: 0.195150 loss: 1.339253 eta: 16:35:26 batch_cost: 3.3300 data_cost: 0.0025 ips: 38.4383 images/s [10/17 04:25:44] ppdet.engine INFO: Epoch: [224] [200/229] learning_rate: 0.058766 loss_vfl: 0.818412 loss_bbox: 0.317946 loss_dfl: 0.193347 loss: 1.339940 eta: 16:34:17 batch_cost: 3.4478 data_cost: 0.0026 ips: 37.1253 images/s [10/17 04:26:52] ppdet.engine INFO: Epoch: [224] [220/229] learning_rate: 0.058637 loss_vfl: 0.822507 loss_bbox: 0.314513 loss_dfl: 0.195889 loss: 1.356241 eta: 16:33:06 batch_cost: 3.2287 data_cost: 0.0024 ips: 39.6442 images/s [10/17 04:27:44] ppdet.engine INFO: Epoch: [225] [ 0/229] learning_rate: 0.058579 loss_vfl: 0.818539 loss_bbox: 0.310624 loss_dfl: 0.190724 loss: 1.331664 eta: 16:32:40 batch_cost: 4.0249 data_cost: 0.2605 ips: 31.8023 images/s [10/17 04:28:57] ppdet.engine INFO: Epoch: [225] [ 20/229] learning_rate: 0.058449 loss_vfl: 0.815896 loss_bbox: 0.316975 loss_dfl: 0.200269 loss: 1.319768 eta: 16:31:31 batch_cost: 3.5218 data_cost: 0.0025 ips: 36.3451 images/s [10/17 04:30:10] ppdet.engine INFO: Epoch: [225] [ 40/229] learning_rate: 0.058320 loss_vfl: 0.821335 loss_bbox: 0.308322 loss_dfl: 0.192876 loss: 1.325080 eta: 16:30:22 batch_cost: 3.5041 data_cost: 0.0025 ips: 36.5289 images/s [10/17 04:31:22] ppdet.engine INFO: Epoch: [225] [ 60/229] learning_rate: 0.058191 loss_vfl: 0.801747 loss_bbox: 0.329767 loss_dfl: 0.197598 loss: 1.326137 eta: 16:29:12 batch_cost: 3.4620 data_cost: 0.0024 ips: 36.9724 images/s [10/17 04:32:33] ppdet.engine INFO: Epoch: [225] [ 80/229] learning_rate: 0.058062 loss_vfl: 0.807389 loss_bbox: 0.314544 loss_dfl: 0.197285 loss: 1.330395 eta: 16:28:03 batch_cost: 3.3827 data_cost: 0.0024 ips: 37.8393 images/s [10/17 04:33:45] ppdet.engine INFO: Epoch: [225] [100/229] learning_rate: 0.057933 loss_vfl: 0.825854 loss_bbox: 0.310085 loss_dfl: 0.198713 loss: 1.347074 eta: 16:26:53 batch_cost: 3.4379 data_cost: 0.0026 ips: 37.2322 images/s [10/17 04:34:57] ppdet.engine INFO: Epoch: [225] [120/229] learning_rate: 0.057805 loss_vfl: 0.829529 loss_bbox: 0.315427 loss_dfl: 0.190913 loss: 1.333554 eta: 16:25:44 batch_cost: 3.4586 data_cost: 0.0024 ips: 37.0095 images/s [10/17 04:36:08] ppdet.engine INFO: Epoch: [225] [140/229] learning_rate: 0.057676 loss_vfl: 0.810838 loss_bbox: 0.323870 loss_dfl: 0.201733 loss: 1.344186 eta: 16:24:34 batch_cost: 3.3848 data_cost: 0.0026 ips: 37.8163 images/s [10/17 04:37:20] ppdet.engine INFO: Epoch: [225] [160/229] learning_rate: 0.057548 loss_vfl: 0.814350 loss_bbox: 0.315072 loss_dfl: 0.193939 loss: 1.322083 eta: 16:23:24 batch_cost: 3.4568 data_cost: 0.0024 ips: 37.0283 images/s [10/17 04:38:29] ppdet.engine INFO: Epoch: [225] [180/229] learning_rate: 0.057419 loss_vfl: 0.816234 loss_bbox: 0.330082 loss_dfl: 0.200263 loss: 1.345341 eta: 16:22:14 batch_cost: 3.3431 data_cost: 0.0030 ips: 38.2880 images/s [10/17 04:39:41] ppdet.engine INFO: Epoch: [225] [200/229] learning_rate: 0.057291 loss_vfl: 0.818693 loss_bbox: 0.309130 loss_dfl: 0.190841 loss: 1.319792 eta: 16:21:05 batch_cost: 3.4385 data_cost: 0.0024 ips: 37.2251 images/s [10/17 04:40:50] ppdet.engine INFO: Epoch: [225] [220/229] learning_rate: 0.057163 loss_vfl: 0.828350 loss_bbox: 0.312543 loss_dfl: 0.195562 loss: 1.339310 eta: 16:19:54 batch_cost: 3.2947 data_cost: 0.0023 ips: 38.8501 images/s [10/17 04:41:44] ppdet.engine INFO: Epoch: [226] [ 0/229] learning_rate: 0.057105 loss_vfl: 0.825164 loss_bbox: 0.317045 loss_dfl: 0.203550 loss: 1.366756 eta: 16:19:29 batch_cost: 4.2015 data_cost: 0.3827 ips: 30.4653 images/s [10/17 04:42:58] ppdet.engine INFO: Epoch: [226] [ 20/229] learning_rate: 0.056978 loss_vfl: 0.826589 loss_bbox: 0.321326 loss_dfl: 0.196734 loss: 1.341105 eta: 16:18:20 batch_cost: 3.5514 data_cost: 0.0026 ips: 36.0417 images/s [10/17 04:44:10] ppdet.engine INFO: Epoch: [226] [ 40/229] learning_rate: 0.056850 loss_vfl: 0.820112 loss_bbox: 0.307884 loss_dfl: 0.190121 loss: 1.320505 eta: 16:17:10 batch_cost: 3.4415 data_cost: 0.0024 ips: 37.1930 images/s [10/17 04:45:22] ppdet.engine INFO: Epoch: [226] [ 60/229] learning_rate: 0.056722 loss_vfl: 0.816511 loss_bbox: 0.310901 loss_dfl: 0.197792 loss: 1.342408 eta: 16:16:01 batch_cost: 3.4303 data_cost: 0.0035 ips: 37.3147 images/s [10/17 04:46:34] ppdet.engine INFO: Epoch: [226] [ 80/229] learning_rate: 0.056595 loss_vfl: 0.818089 loss_bbox: 0.303187 loss_dfl: 0.191673 loss: 1.326689 eta: 16:14:51 batch_cost: 3.4741 data_cost: 0.0026 ips: 36.8442 images/s [10/17 04:47:46] ppdet.engine INFO: Epoch: [226] [100/229] learning_rate: 0.056467 loss_vfl: 0.817404 loss_bbox: 0.310150 loss_dfl: 0.190587 loss: 1.314825 eta: 16:13:42 batch_cost: 3.4695 data_cost: 0.0025 ips: 36.8932 images/s [10/17 04:48:57] ppdet.engine INFO: Epoch: [226] [120/229] learning_rate: 0.056340 loss_vfl: 0.819378 loss_bbox: 0.304954 loss_dfl: 0.190874 loss: 1.306986 eta: 16:12:32 batch_cost: 3.3945 data_cost: 0.0025 ips: 37.7085 images/s [10/17 04:50:09] ppdet.engine INFO: Epoch: [226] [140/229] learning_rate: 0.056213 loss_vfl: 0.821903 loss_bbox: 0.311488 loss_dfl: 0.196087 loss: 1.320530 eta: 16:11:23 batch_cost: 3.4464 data_cost: 0.0024 ips: 37.1399 images/s [10/17 04:51:19] ppdet.engine INFO: Epoch: [226] [160/229] learning_rate: 0.056085 loss_vfl: 0.820561 loss_bbox: 0.310190 loss_dfl: 0.191526 loss: 1.317374 eta: 16:10:13 batch_cost: 3.3489 data_cost: 0.0024 ips: 38.2214 images/s [10/17 04:52:30] ppdet.engine INFO: Epoch: [226] [180/229] learning_rate: 0.055958 loss_vfl: 0.830593 loss_bbox: 0.306175 loss_dfl: 0.194436 loss: 1.333921 eta: 16:09:03 batch_cost: 3.4083 data_cost: 0.0024 ips: 37.5550 images/s [10/17 04:53:41] ppdet.engine INFO: Epoch: [226] [200/229] learning_rate: 0.055832 loss_vfl: 0.829292 loss_bbox: 0.308258 loss_dfl: 0.193779 loss: 1.337731 eta: 16:07:53 batch_cost: 3.3955 data_cost: 0.0024 ips: 37.6969 images/s [10/17 04:54:48] ppdet.engine INFO: Epoch: [226] [220/229] learning_rate: 0.055705 loss_vfl: 0.827097 loss_bbox: 0.318637 loss_dfl: 0.191557 loss: 1.338229 eta: 16:06:42 batch_cost: 3.1900 data_cost: 0.0025 ips: 40.1256 images/s [10/17 04:55:39] ppdet.engine INFO: Epoch: [227] [ 0/229] learning_rate: 0.055648 loss_vfl: 0.827378 loss_bbox: 0.315348 loss_dfl: 0.191557 loss: 1.338229 eta: 16:06:16 batch_cost: 4.0257 data_cost: 0.5067 ips: 31.7955 images/s [10/17 04:56:51] ppdet.engine INFO: Epoch: [227] [ 20/229] learning_rate: 0.055521 loss_vfl: 0.818502 loss_bbox: 0.323960 loss_dfl: 0.197317 loss: 1.345460 eta: 16:05:06 batch_cost: 3.4398 data_cost: 0.0024 ips: 37.2118 images/s [10/17 04:58:03] ppdet.engine INFO: Epoch: [227] [ 40/229] learning_rate: 0.055395 loss_vfl: 0.821212 loss_bbox: 0.328066 loss_dfl: 0.198635 loss: 1.344090 eta: 16:03:57 batch_cost: 3.4477 data_cost: 0.0025 ips: 37.1258 images/s [10/17 04:59:13] ppdet.engine INFO: Epoch: [227] [ 60/229] learning_rate: 0.055269 loss_vfl: 0.814136 loss_bbox: 0.311228 loss_dfl: 0.194925 loss: 1.312191 eta: 16:02:46 batch_cost: 3.3079 data_cost: 0.0025 ips: 38.6949 images/s [10/17 05:00:23] ppdet.engine INFO: Epoch: [227] [ 80/229] learning_rate: 0.055143 loss_vfl: 0.817506 loss_bbox: 0.306763 loss_dfl: 0.197973 loss: 1.330965 eta: 16:01:36 batch_cost: 3.3922 data_cost: 0.0030 ips: 37.7334 images/s [10/17 05:01:32] ppdet.engine INFO: Epoch: [227] [100/229] learning_rate: 0.055016 loss_vfl: 0.829111 loss_bbox: 0.303111 loss_dfl: 0.193861 loss: 1.325020 eta: 16:00:26 batch_cost: 3.3054 data_cost: 0.0024 ips: 38.7245 images/s [10/17 05:02:44] ppdet.engine INFO: Epoch: [227] [120/229] learning_rate: 0.054891 loss_vfl: 0.818200 loss_bbox: 0.322438 loss_dfl: 0.197609 loss: 1.323699 eta: 15:59:16 batch_cost: 3.4388 data_cost: 0.0024 ips: 37.2228 images/s [10/17 05:03:54] ppdet.engine INFO: Epoch: [227] [140/229] learning_rate: 0.054765 loss_vfl: 0.812476 loss_bbox: 0.295493 loss_dfl: 0.186792 loss: 1.296662 eta: 15:58:06 batch_cost: 3.3646 data_cost: 0.0023 ips: 38.0434 images/s [10/17 05:05:06] ppdet.engine INFO: Epoch: [227] [160/229] learning_rate: 0.054639 loss_vfl: 0.825463 loss_bbox: 0.326187 loss_dfl: 0.203352 loss: 1.369291 eta: 15:56:57 batch_cost: 3.4199 data_cost: 0.0030 ips: 37.4282 images/s [10/17 05:06:17] ppdet.engine INFO: Epoch: [227] [180/229] learning_rate: 0.054513 loss_vfl: 0.820475 loss_bbox: 0.310709 loss_dfl: 0.195245 loss: 1.315323 eta: 15:55:47 batch_cost: 3.4012 data_cost: 0.0025 ips: 37.6338 images/s [10/17 05:07:27] ppdet.engine INFO: Epoch: [227] [200/229] learning_rate: 0.054388 loss_vfl: 0.812373 loss_bbox: 0.308928 loss_dfl: 0.189746 loss: 1.322396 eta: 15:54:37 batch_cost: 3.3820 data_cost: 0.0025 ips: 37.8480 images/s [10/17 05:08:33] ppdet.engine INFO: Epoch: [227] [220/229] learning_rate: 0.054263 loss_vfl: 0.821023 loss_bbox: 0.315921 loss_dfl: 0.195831 loss: 1.335604 eta: 15:53:26 batch_cost: 3.1544 data_cost: 0.0025 ips: 40.5785 images/s [10/17 05:09:26] ppdet.engine INFO: Epoch: [228] [ 0/229] learning_rate: 0.054206 loss_vfl: 0.814424 loss_bbox: 0.313391 loss_dfl: 0.191572 loss: 1.303433 eta: 15:53:00 batch_cost: 4.0470 data_cost: 0.3653 ips: 31.6282 images/s [10/17 05:10:38] ppdet.engine INFO: Epoch: [228] [ 20/229] learning_rate: 0.054081 loss_vfl: 0.799970 loss_bbox: 0.328652 loss_dfl: 0.200817 loss: 1.330341 eta: 15:51:50 batch_cost: 3.4538 data_cost: 0.0025 ips: 37.0611 images/s [10/17 05:11:50] ppdet.engine INFO: Epoch: [228] [ 40/229] learning_rate: 0.053956 loss_vfl: 0.821727 loss_bbox: 0.329538 loss_dfl: 0.204679 loss: 1.351955 eta: 15:50:41 batch_cost: 3.4403 data_cost: 0.0024 ips: 37.2059 images/s [10/17 05:13:03] ppdet.engine INFO: Epoch: [228] [ 60/229] learning_rate: 0.053831 loss_vfl: 0.822722 loss_bbox: 0.315635 loss_dfl: 0.200866 loss: 1.343628 eta: 15:49:31 batch_cost: 3.4894 data_cost: 0.0024 ips: 36.6824 images/s [10/17 05:14:12] ppdet.engine INFO: Epoch: [228] [ 80/229] learning_rate: 0.053706 loss_vfl: 0.819711 loss_bbox: 0.316521 loss_dfl: 0.193797 loss: 1.317524 eta: 15:48:21 batch_cost: 3.3235 data_cost: 0.0023 ips: 38.5131 images/s [10/17 05:15:24] ppdet.engine INFO: Epoch: [228] [100/229] learning_rate: 0.053582 loss_vfl: 0.810550 loss_bbox: 0.333024 loss_dfl: 0.202899 loss: 1.334835 eta: 15:47:11 batch_cost: 3.4343 data_cost: 0.0025 ips: 37.2715 images/s [10/17 05:16:34] ppdet.engine INFO: Epoch: [228] [120/229] learning_rate: 0.053457 loss_vfl: 0.820010 loss_bbox: 0.316601 loss_dfl: 0.196242 loss: 1.326275 eta: 15:46:01 batch_cost: 3.3596 data_cost: 0.0024 ips: 38.0995 images/s [10/17 05:17:44] ppdet.engine INFO: Epoch: [228] [140/229] learning_rate: 0.053333 loss_vfl: 0.811972 loss_bbox: 0.296573 loss_dfl: 0.190036 loss: 1.294995 eta: 15:44:51 batch_cost: 3.3645 data_cost: 0.0031 ips: 38.0443 images/s [10/17 05:18:55] ppdet.engine INFO: Epoch: [228] [160/229] learning_rate: 0.053208 loss_vfl: 0.822005 loss_bbox: 0.311482 loss_dfl: 0.196714 loss: 1.331263 eta: 15:43:42 batch_cost: 3.3898 data_cost: 0.0025 ips: 37.7598 images/s [10/17 05:20:06] ppdet.engine INFO: Epoch: [228] [180/229] learning_rate: 0.053084 loss_vfl: 0.819283 loss_bbox: 0.311487 loss_dfl: 0.197588 loss: 1.331970 eta: 15:42:32 batch_cost: 3.4218 data_cost: 0.0024 ips: 37.4076 images/s [10/17 05:21:18] ppdet.engine INFO: Epoch: [228] [200/229] learning_rate: 0.052960 loss_vfl: 0.816826 loss_bbox: 0.325499 loss_dfl: 0.203291 loss: 1.343509 eta: 15:41:22 batch_cost: 3.4240 data_cost: 0.0024 ips: 37.3833 images/s [10/17 05:22:27] ppdet.engine INFO: Epoch: [228] [220/229] learning_rate: 0.052836 loss_vfl: 0.828231 loss_bbox: 0.318367 loss_dfl: 0.196074 loss: 1.341069 eta: 15:40:12 batch_cost: 3.3097 data_cost: 0.0024 ips: 38.6744 images/s [10/17 05:23:24] ppdet.engine INFO: Epoch: [229] [ 0/229] learning_rate: 0.052781 loss_vfl: 0.823477 loss_bbox: 0.318213 loss_dfl: 0.192924 loss: 1.322026 eta: 15:39:47 batch_cost: 4.4405 data_cost: 0.4333 ips: 28.8258 images/s [10/17 05:24:35] ppdet.engine INFO: Epoch: [229] [ 20/229] learning_rate: 0.052657 loss_vfl: 0.826052 loss_bbox: 0.316344 loss_dfl: 0.196612 loss: 1.328011 eta: 15:38:38 batch_cost: 3.3778 data_cost: 0.0025 ips: 37.8946 images/s [10/17 05:25:46] ppdet.engine INFO: Epoch: [229] [ 40/229] learning_rate: 0.052533 loss_vfl: 0.816448 loss_bbox: 0.310703 loss_dfl: 0.194508 loss: 1.310783 eta: 15:37:28 batch_cost: 3.4219 data_cost: 0.0024 ips: 37.4056 images/s [10/17 05:26:58] ppdet.engine INFO: Epoch: [229] [ 60/229] learning_rate: 0.052410 loss_vfl: 0.812251 loss_bbox: 0.312168 loss_dfl: 0.194928 loss: 1.340186 eta: 15:36:18 batch_cost: 3.4614 data_cost: 0.0071 ips: 36.9793 images/s [10/17 05:28:10] ppdet.engine INFO: Epoch: [229] [ 80/229] learning_rate: 0.052286 loss_vfl: 0.820975 loss_bbox: 0.315067 loss_dfl: 0.191984 loss: 1.329343 eta: 15:35:09 batch_cost: 3.4119 data_cost: 0.0025 ips: 37.5161 images/s [10/17 05:29:22] ppdet.engine INFO: Epoch: [229] [100/229] learning_rate: 0.052163 loss_vfl: 0.806068 loss_bbox: 0.305295 loss_dfl: 0.197972 loss: 1.311136 eta: 15:33:59 batch_cost: 3.4746 data_cost: 0.0024 ips: 36.8389 images/s [10/17 05:30:33] ppdet.engine INFO: Epoch: [229] [120/229] learning_rate: 0.052040 loss_vfl: 0.815969 loss_bbox: 0.315056 loss_dfl: 0.194380 loss: 1.332127 eta: 15:32:50 batch_cost: 3.3904 data_cost: 0.0025 ips: 37.7534 images/s [10/17 05:31:43] ppdet.engine INFO: Epoch: [229] [140/229] learning_rate: 0.051917 loss_vfl: 0.822042 loss_bbox: 0.328827 loss_dfl: 0.200650 loss: 1.349937 eta: 15:31:40 batch_cost: 3.3756 data_cost: 0.0025 ips: 37.9196 images/s [10/17 05:32:54] ppdet.engine INFO: Epoch: [229] [160/229] learning_rate: 0.051794 loss_vfl: 0.822828 loss_bbox: 0.311581 loss_dfl: 0.196194 loss: 1.321412 eta: 15:30:30 batch_cost: 3.4008 data_cost: 0.0025 ips: 37.6379 images/s [10/17 05:34:04] ppdet.engine INFO: Epoch: [229] [180/229] learning_rate: 0.051671 loss_vfl: 0.822799 loss_bbox: 0.315640 loss_dfl: 0.199329 loss: 1.329612 eta: 15:29:20 batch_cost: 3.3568 data_cost: 0.0025 ips: 38.1315 images/s [10/17 05:35:18] ppdet.engine INFO: Epoch: [229] [200/229] learning_rate: 0.051549 loss_vfl: 0.820826 loss_bbox: 0.312054 loss_dfl: 0.195366 loss: 1.338204 eta: 15:28:11 batch_cost: 3.5290 data_cost: 0.0032 ips: 36.2711 images/s [10/17 05:36:25] ppdet.engine INFO: Epoch: [229] [220/229] learning_rate: 0.051426 loss_vfl: 0.806804 loss_bbox: 0.312110 loss_dfl: 0.195461 loss: 1.321039 eta: 15:27:00 batch_cost: 3.2195 data_cost: 0.0031 ips: 39.7580 images/s [10/17 05:36:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 05:36:53] ppdet.engine INFO: Eval iter: 0 [10/17 05:37:32] ppdet.engine INFO: Eval iter: 100 [10/17 05:37:53] ppdet.engine INFO: Eval iter: 200 [10/17 05:38:15] ppdet.engine INFO: Eval iter: 300 [10/17 05:38:36] ppdet.engine INFO: Eval iter: 400 [10/17 05:38:58] ppdet.engine INFO: Eval iter: 500 [10/17 05:39:20] ppdet.engine INFO: Eval iter: 600 [10/17 05:39:40] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.64s) creating index... index created! [10/17 05:39:41] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.79s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=96.02s). Accumulating evaluation results... DONE (t=18.51s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.270 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.411 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.282 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.078 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.269 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.470 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 ] = 0.396 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 ] = 0.141 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 ] = 0.685 [10/17 05:41:42] ppdet.engine INFO: Total sample number: 5000, averge FPS: 32.4006576451996 [10/17 05:41:42] ppdet.engine INFO: Best test bbox ap is 0.270. [10/17 05:41:43] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 05:41:46] ppdet.engine INFO: Epoch: [230] [ 0/229] learning_rate: 0.051371 loss_vfl: 0.810840 loss_bbox: 0.300902 loss_dfl: 0.186520 loss: 1.302276 eta: 15:26:27 batch_cost: 2.9819 data_cost: 0.0025 ips: 42.9252 images/s [10/17 05:43:00] ppdet.engine INFO: Epoch: [230] [ 20/229] learning_rate: 0.051249 loss_vfl: 0.814565 loss_bbox: 0.330203 loss_dfl: 0.203523 loss: 1.348801 eta: 15:25:18 batch_cost: 3.5512 data_cost: 0.0029 ips: 36.0445 images/s [10/17 05:44:11] ppdet.engine INFO: Epoch: [230] [ 40/229] learning_rate: 0.051126 loss_vfl: 0.817138 loss_bbox: 0.311717 loss_dfl: 0.194976 loss: 1.311035 eta: 15:24:09 batch_cost: 3.4206 data_cost: 0.0031 ips: 37.4208 images/s [10/17 05:45:24] ppdet.engine INFO: Epoch: [230] [ 60/229] learning_rate: 0.051004 loss_vfl: 0.810038 loss_bbox: 0.313157 loss_dfl: 0.191576 loss: 1.317335 eta: 15:22:59 batch_cost: 3.4769 data_cost: 0.0026 ips: 36.8146 images/s [10/17 05:46:35] ppdet.engine INFO: Epoch: [230] [ 80/229] learning_rate: 0.050882 loss_vfl: 0.824940 loss_bbox: 0.318970 loss_dfl: 0.201906 loss: 1.366336 eta: 15:21:50 batch_cost: 3.4017 data_cost: 0.0025 ips: 37.6285 images/s [10/17 05:47:48] ppdet.engine INFO: Epoch: [230] [100/229] learning_rate: 0.050761 loss_vfl: 0.808671 loss_bbox: 0.319321 loss_dfl: 0.196364 loss: 1.325002 eta: 15:20:41 batch_cost: 3.5085 data_cost: 0.0026 ips: 36.4827 images/s [10/17 05:49:00] ppdet.engine INFO: Epoch: [230] [120/229] learning_rate: 0.050639 loss_vfl: 0.819499 loss_bbox: 0.325372 loss_dfl: 0.201371 loss: 1.339100 eta: 15:19:31 batch_cost: 3.4739 data_cost: 0.0031 ips: 36.8457 images/s [10/17 05:50:12] ppdet.engine INFO: Epoch: [230] [140/229] learning_rate: 0.050517 loss_vfl: 0.822943 loss_bbox: 0.316024 loss_dfl: 0.194010 loss: 1.330212 eta: 15:18:22 batch_cost: 3.4586 data_cost: 0.0025 ips: 37.0096 images/s [10/17 05:51:23] ppdet.engine INFO: Epoch: [230] [160/229] learning_rate: 0.050396 loss_vfl: 0.811094 loss_bbox: 0.301484 loss_dfl: 0.187777 loss: 1.318054 eta: 15:17:12 batch_cost: 3.3967 data_cost: 0.0025 ips: 37.6833 images/s [10/17 05:52:34] ppdet.engine INFO: Epoch: [230] [180/229] learning_rate: 0.050275 loss_vfl: 0.819663 loss_bbox: 0.319466 loss_dfl: 0.198533 loss: 1.338140 eta: 15:16:02 batch_cost: 3.4080 data_cost: 0.0030 ips: 37.5582 images/s [10/17 05:53:47] ppdet.engine INFO: Epoch: [230] [200/229] learning_rate: 0.050153 loss_vfl: 0.813797 loss_bbox: 0.330647 loss_dfl: 0.192903 loss: 1.331002 eta: 15:14:53 batch_cost: 3.4720 data_cost: 0.0029 ips: 36.8663 images/s [10/17 05:54:55] ppdet.engine INFO: Epoch: [230] [220/229] learning_rate: 0.050032 loss_vfl: 0.819440 loss_bbox: 0.306956 loss_dfl: 0.196548 loss: 1.344286 eta: 15:13:43 batch_cost: 3.2875 data_cost: 0.0026 ips: 38.9358 images/s [10/17 05:55:46] ppdet.engine INFO: Epoch: [231] [ 0/229] learning_rate: 0.049978 loss_vfl: 0.817133 loss_bbox: 0.313926 loss_dfl: 0.199216 loss: 1.324051 eta: 15:13:16 batch_cost: 4.1091 data_cost: 0.3482 ips: 31.1504 images/s [10/17 05:57:02] ppdet.engine INFO: Epoch: [231] [ 20/229] learning_rate: 0.049857 loss_vfl: 0.824028 loss_bbox: 0.322092 loss_dfl: 0.203699 loss: 1.334986 eta: 15:12:07 batch_cost: 3.6167 data_cost: 0.0028 ips: 35.3910 images/s [10/17 05:58:15] ppdet.engine INFO: Epoch: [231] [ 40/229] learning_rate: 0.049736 loss_vfl: 0.818312 loss_bbox: 0.311944 loss_dfl: 0.191460 loss: 1.338736 eta: 15:10:58 batch_cost: 3.4884 data_cost: 0.0031 ips: 36.6930 images/s [10/17 05:59:30] ppdet.engine INFO: Epoch: [231] [ 60/229] learning_rate: 0.049615 loss_vfl: 0.819944 loss_bbox: 0.324171 loss_dfl: 0.199439 loss: 1.340883 eta: 15:09:50 batch_cost: 3.6107 data_cost: 0.0025 ips: 35.4503 images/s [10/17 06:00:42] ppdet.engine INFO: Epoch: [231] [ 80/229] learning_rate: 0.049495 loss_vfl: 0.814731 loss_bbox: 0.320084 loss_dfl: 0.197294 loss: 1.323521 eta: 15:08:40 batch_cost: 3.4540 data_cost: 0.0025 ips: 37.0585 images/s [10/17 06:01:56] ppdet.engine INFO: Epoch: [231] [100/229] learning_rate: 0.049375 loss_vfl: 0.810929 loss_bbox: 0.314105 loss_dfl: 0.200001 loss: 1.332091 eta: 15:07:31 batch_cost: 3.5282 data_cost: 0.0025 ips: 36.2789 images/s [10/17 06:03:08] ppdet.engine INFO: Epoch: [231] [120/229] learning_rate: 0.049254 loss_vfl: 0.818442 loss_bbox: 0.307380 loss_dfl: 0.193888 loss: 1.313733 eta: 15:06:21 batch_cost: 3.4158 data_cost: 0.0025 ips: 37.4729 images/s [10/17 06:04:19] ppdet.engine INFO: Epoch: [231] [140/229] learning_rate: 0.049134 loss_vfl: 0.810378 loss_bbox: 0.316536 loss_dfl: 0.196787 loss: 1.329516 eta: 15:05:12 batch_cost: 3.4133 data_cost: 0.0026 ips: 37.4999 images/s [10/17 06:05:32] ppdet.engine INFO: Epoch: [231] [160/229] learning_rate: 0.049014 loss_vfl: 0.816475 loss_bbox: 0.317338 loss_dfl: 0.194711 loss: 1.323148 eta: 15:04:03 batch_cost: 3.5241 data_cost: 0.0026 ips: 36.3210 images/s [10/17 06:06:43] ppdet.engine INFO: Epoch: [231] [180/229] learning_rate: 0.048894 loss_vfl: 0.821509 loss_bbox: 0.309114 loss_dfl: 0.194971 loss: 1.332625 eta: 15:02:53 batch_cost: 3.4080 data_cost: 0.0035 ips: 37.5583 images/s [10/17 06:07:55] ppdet.engine INFO: Epoch: [231] [200/229] learning_rate: 0.048774 loss_vfl: 0.826280 loss_bbox: 0.314846 loss_dfl: 0.197499 loss: 1.338665 eta: 15:01:43 batch_cost: 3.4358 data_cost: 0.0026 ips: 37.2543 images/s [10/17 06:09:04] ppdet.engine INFO: Epoch: [231] [220/229] learning_rate: 0.048655 loss_vfl: 0.818061 loss_bbox: 0.304742 loss_dfl: 0.192638 loss: 1.316201 eta: 15:00:33 batch_cost: 3.3179 data_cost: 0.0025 ips: 38.5791 images/s [10/17 06:09:57] ppdet.engine INFO: Epoch: [232] [ 0/229] learning_rate: 0.048601 loss_vfl: 0.821307 loss_bbox: 0.309314 loss_dfl: 0.188729 loss: 1.323912 eta: 15:00:07 batch_cost: 4.2201 data_cost: 0.4159 ips: 30.3308 images/s [10/17 06:11:10] ppdet.engine INFO: Epoch: [232] [ 20/229] learning_rate: 0.048482 loss_vfl: 0.816690 loss_bbox: 0.319766 loss_dfl: 0.196985 loss: 1.328620 eta: 14:58:58 batch_cost: 3.4677 data_cost: 0.0026 ips: 36.9117 images/s [10/17 06:12:22] ppdet.engine INFO: Epoch: [232] [ 40/229] learning_rate: 0.048362 loss_vfl: 0.810926 loss_bbox: 0.323767 loss_dfl: 0.197042 loss: 1.338771 eta: 14:57:48 batch_cost: 3.4411 data_cost: 0.0026 ips: 37.1969 images/s [10/17 06:13:33] ppdet.engine INFO: Epoch: [232] [ 60/229] learning_rate: 0.048243 loss_vfl: 0.815682 loss_bbox: 0.319671 loss_dfl: 0.196443 loss: 1.316604 eta: 14:56:39 batch_cost: 3.4350 data_cost: 0.0025 ips: 37.2639 images/s [10/17 06:14:45] ppdet.engine INFO: Epoch: [232] [ 80/229] learning_rate: 0.048124 loss_vfl: 0.812047 loss_bbox: 0.321979 loss_dfl: 0.193985 loss: 1.338576 eta: 14:55:29 batch_cost: 3.4192 data_cost: 0.0025 ips: 37.4357 images/s [10/17 06:15:56] ppdet.engine INFO: Epoch: [232] [100/229] learning_rate: 0.048005 loss_vfl: 0.807787 loss_bbox: 0.307351 loss_dfl: 0.195092 loss: 1.305156 eta: 14:54:19 batch_cost: 3.3935 data_cost: 0.0025 ips: 37.7187 images/s [10/17 06:17:08] ppdet.engine INFO: Epoch: [232] [120/229] learning_rate: 0.047886 loss_vfl: 0.808177 loss_bbox: 0.309275 loss_dfl: 0.192175 loss: 1.319901 eta: 14:53:10 batch_cost: 3.4837 data_cost: 0.0029 ips: 36.7423 images/s [10/17 06:18:21] ppdet.engine INFO: Epoch: [232] [140/229] learning_rate: 0.047767 loss_vfl: 0.818212 loss_bbox: 0.311426 loss_dfl: 0.195605 loss: 1.328363 eta: 14:52:01 batch_cost: 3.4623 data_cost: 0.0023 ips: 36.9693 images/s [10/17 06:19:30] ppdet.engine INFO: Epoch: [232] [160/229] learning_rate: 0.047649 loss_vfl: 0.817209 loss_bbox: 0.309515 loss_dfl: 0.191107 loss: 1.324814 eta: 14:50:50 batch_cost: 3.3196 data_cost: 0.0024 ips: 38.5585 images/s [10/17 06:20:40] ppdet.engine INFO: Epoch: [232] [180/229] learning_rate: 0.047530 loss_vfl: 0.812633 loss_bbox: 0.322261 loss_dfl: 0.196713 loss: 1.333883 eta: 14:49:40 batch_cost: 3.3432 data_cost: 0.0031 ips: 38.2861 images/s [10/17 06:21:49] ppdet.engine INFO: Epoch: [232] [200/229] learning_rate: 0.047412 loss_vfl: 0.823827 loss_bbox: 0.289546 loss_dfl: 0.189405 loss: 1.306383 eta: 14:48:30 batch_cost: 3.3315 data_cost: 0.0023 ips: 38.4212 images/s [10/17 06:22:57] ppdet.engine INFO: Epoch: [232] [220/229] learning_rate: 0.047294 loss_vfl: 0.830260 loss_bbox: 0.302443 loss_dfl: 0.188282 loss: 1.321858 eta: 14:47:19 batch_cost: 3.2376 data_cost: 0.0023 ips: 39.5351 images/s [10/17 06:23:50] ppdet.engine INFO: Epoch: [233] [ 0/229] learning_rate: 0.047241 loss_vfl: 0.796479 loss_bbox: 0.309312 loss_dfl: 0.194321 loss: 1.314935 eta: 14:46:53 batch_cost: 4.1126 data_cost: 0.5264 ips: 31.1237 images/s [10/17 06:25:04] ppdet.engine INFO: Epoch: [233] [ 20/229] learning_rate: 0.047123 loss_vfl: 0.809294 loss_bbox: 0.327629 loss_dfl: 0.199149 loss: 1.332081 eta: 14:45:44 batch_cost: 3.5404 data_cost: 0.0028 ips: 36.1538 images/s [10/17 06:26:19] ppdet.engine INFO: Epoch: [233] [ 40/229] learning_rate: 0.047005 loss_vfl: 0.819993 loss_bbox: 0.307550 loss_dfl: 0.192452 loss: 1.323624 eta: 14:44:35 batch_cost: 3.5862 data_cost: 0.0026 ips: 35.6923 images/s [10/17 06:27:29] ppdet.engine INFO: Epoch: [233] [ 60/229] learning_rate: 0.046887 loss_vfl: 0.837102 loss_bbox: 0.323460 loss_dfl: 0.191742 loss: 1.338953 eta: 14:43:26 batch_cost: 3.3910 data_cost: 0.0027 ips: 37.7468 images/s [10/17 06:28:40] ppdet.engine INFO: Epoch: [233] [ 80/229] learning_rate: 0.046770 loss_vfl: 0.819320 loss_bbox: 0.307704 loss_dfl: 0.188852 loss: 1.320664 eta: 14:42:16 batch_cost: 3.3572 data_cost: 0.0024 ips: 38.1270 images/s [10/17 06:29:52] ppdet.engine INFO: Epoch: [233] [100/229] learning_rate: 0.046652 loss_vfl: 0.823326 loss_bbox: 0.315505 loss_dfl: 0.198378 loss: 1.340508 eta: 14:41:06 batch_cost: 3.4597 data_cost: 0.0025 ips: 36.9973 images/s [10/17 06:31:02] ppdet.engine INFO: Epoch: [233] [120/229] learning_rate: 0.046535 loss_vfl: 0.811662 loss_bbox: 0.325880 loss_dfl: 0.194849 loss: 1.317753 eta: 14:39:56 batch_cost: 3.3533 data_cost: 0.0025 ips: 38.1716 images/s [10/17 06:32:11] ppdet.engine INFO: Epoch: [233] [140/229] learning_rate: 0.046417 loss_vfl: 0.818254 loss_bbox: 0.314287 loss_dfl: 0.194049 loss: 1.322450 eta: 14:38:46 batch_cost: 3.3338 data_cost: 0.0027 ips: 38.3944 images/s [10/17 06:33:24] ppdet.engine INFO: Epoch: [233] [160/229] learning_rate: 0.046300 loss_vfl: 0.824495 loss_bbox: 0.322468 loss_dfl: 0.202347 loss: 1.342796 eta: 14:37:37 batch_cost: 3.4958 data_cost: 0.0026 ips: 36.6153 images/s [10/17 06:34:34] ppdet.engine INFO: Epoch: [233] [180/229] learning_rate: 0.046183 loss_vfl: 0.809092 loss_bbox: 0.304167 loss_dfl: 0.185194 loss: 1.290375 eta: 14:36:27 batch_cost: 3.3464 data_cost: 0.0027 ips: 38.2503 images/s [10/17 06:35:46] ppdet.engine INFO: Epoch: [233] [200/229] learning_rate: 0.046067 loss_vfl: 0.829385 loss_bbox: 0.305424 loss_dfl: 0.190757 loss: 1.316702 eta: 14:35:17 batch_cost: 3.4378 data_cost: 0.0025 ips: 37.2336 images/s [10/17 06:36:54] ppdet.engine INFO: Epoch: [233] [220/229] learning_rate: 0.045950 loss_vfl: 0.823539 loss_bbox: 0.296598 loss_dfl: 0.186086 loss: 1.298148 eta: 14:34:07 batch_cost: 3.2520 data_cost: 0.0024 ips: 39.3598 images/s [10/17 06:37:49] ppdet.engine INFO: Epoch: [234] [ 0/229] learning_rate: 0.045897 loss_vfl: 0.822114 loss_bbox: 0.297734 loss_dfl: 0.185139 loss: 1.299388 eta: 14:33:41 batch_cost: 4.2847 data_cost: 0.7710 ips: 29.8739 images/s [10/17 06:39:02] ppdet.engine INFO: Epoch: [234] [ 20/229] learning_rate: 0.045781 loss_vfl: 0.810930 loss_bbox: 0.319177 loss_dfl: 0.203132 loss: 1.327065 eta: 14:32:32 batch_cost: 3.4709 data_cost: 0.0025 ips: 36.8782 images/s [10/17 06:40:14] ppdet.engine INFO: Epoch: [234] [ 40/229] learning_rate: 0.045664 loss_vfl: 0.803093 loss_bbox: 0.307734 loss_dfl: 0.195816 loss: 1.310750 eta: 14:31:22 batch_cost: 3.4751 data_cost: 0.0024 ips: 36.8336 images/s [10/17 06:41:26] ppdet.engine INFO: Epoch: [234] [ 60/229] learning_rate: 0.045548 loss_vfl: 0.816085 loss_bbox: 0.309935 loss_dfl: 0.196918 loss: 1.324853 eta: 14:30:13 batch_cost: 3.4422 data_cost: 0.0024 ips: 37.1857 images/s [10/17 06:42:39] ppdet.engine INFO: Epoch: [234] [ 80/229] learning_rate: 0.045432 loss_vfl: 0.811741 loss_bbox: 0.313809 loss_dfl: 0.193386 loss: 1.322881 eta: 14:29:03 batch_cost: 3.4726 data_cost: 0.0026 ips: 36.8605 images/s [10/17 06:43:50] ppdet.engine INFO: Epoch: [234] [100/229] learning_rate: 0.045316 loss_vfl: 0.827662 loss_bbox: 0.308590 loss_dfl: 0.191755 loss: 1.331082 eta: 14:27:54 batch_cost: 3.3850 data_cost: 0.0027 ips: 37.8142 images/s [10/17 06:45:01] ppdet.engine INFO: Epoch: [234] [120/229] learning_rate: 0.045200 loss_vfl: 0.822218 loss_bbox: 0.313205 loss_dfl: 0.197927 loss: 1.334181 eta: 14:26:44 batch_cost: 3.4042 data_cost: 0.0025 ips: 37.6004 images/s [10/17 06:46:12] ppdet.engine INFO: Epoch: [234] [140/229] learning_rate: 0.045084 loss_vfl: 0.808534 loss_bbox: 0.309972 loss_dfl: 0.192347 loss: 1.318414 eta: 14:25:34 batch_cost: 3.4051 data_cost: 0.0025 ips: 37.5905 images/s [10/17 06:47:24] ppdet.engine INFO: Epoch: [234] [160/229] learning_rate: 0.044969 loss_vfl: 0.809469 loss_bbox: 0.299338 loss_dfl: 0.196471 loss: 1.313264 eta: 14:24:25 batch_cost: 3.4594 data_cost: 0.0024 ips: 37.0007 images/s [10/17 06:48:35] ppdet.engine INFO: Epoch: [234] [180/229] learning_rate: 0.044853 loss_vfl: 0.822817 loss_bbox: 0.314281 loss_dfl: 0.198182 loss: 1.333950 eta: 14:23:15 batch_cost: 3.4119 data_cost: 0.0026 ips: 37.5161 images/s [10/17 06:49:45] ppdet.engine INFO: Epoch: [234] [200/229] learning_rate: 0.044738 loss_vfl: 0.817583 loss_bbox: 0.308118 loss_dfl: 0.198822 loss: 1.329722 eta: 14:22:05 batch_cost: 3.3343 data_cost: 0.0041 ips: 38.3891 images/s [10/17 06:50:52] ppdet.engine INFO: Epoch: [234] [220/229] learning_rate: 0.044623 loss_vfl: 0.814302 loss_bbox: 0.327678 loss_dfl: 0.199768 loss: 1.339074 eta: 14:20:54 batch_cost: 3.2050 data_cost: 0.0023 ips: 39.9370 images/s [10/17 06:51:45] ppdet.engine INFO: Epoch: [235] [ 0/229] learning_rate: 0.044571 loss_vfl: 0.807599 loss_bbox: 0.330096 loss_dfl: 0.198064 loss: 1.336094 eta: 14:20:28 batch_cost: 4.0884 data_cost: 0.4632 ips: 31.3083 images/s [10/17 06:52:58] ppdet.engine INFO: Epoch: [235] [ 20/229] learning_rate: 0.044456 loss_vfl: 0.813883 loss_bbox: 0.319130 loss_dfl: 0.196398 loss: 1.335629 eta: 14:19:19 batch_cost: 3.5115 data_cost: 0.0025 ips: 36.4517 images/s [10/17 06:54:11] ppdet.engine INFO: Epoch: [235] [ 40/229] learning_rate: 0.044341 loss_vfl: 0.815915 loss_bbox: 0.301455 loss_dfl: 0.195593 loss: 1.320193 eta: 14:18:09 batch_cost: 3.4778 data_cost: 0.0024 ips: 36.8047 images/s [10/17 06:55:22] ppdet.engine INFO: Epoch: [235] [ 60/229] learning_rate: 0.044226 loss_vfl: 0.812066 loss_bbox: 0.301859 loss_dfl: 0.189950 loss: 1.300621 eta: 14:17:00 batch_cost: 3.4362 data_cost: 0.0024 ips: 37.2509 images/s [10/17 06:56:33] ppdet.engine INFO: Epoch: [235] [ 80/229] learning_rate: 0.044111 loss_vfl: 0.824533 loss_bbox: 0.326261 loss_dfl: 0.196580 loss: 1.340674 eta: 14:15:50 batch_cost: 3.3765 data_cost: 0.0024 ips: 37.9091 images/s [10/17 06:57:43] ppdet.engine INFO: Epoch: [235] [100/229] learning_rate: 0.043997 loss_vfl: 0.810810 loss_bbox: 0.328509 loss_dfl: 0.201280 loss: 1.336821 eta: 14:14:40 batch_cost: 3.3572 data_cost: 0.0024 ips: 38.1271 images/s [10/17 06:58:54] ppdet.engine INFO: Epoch: [235] [120/229] learning_rate: 0.043882 loss_vfl: 0.800023 loss_bbox: 0.313755 loss_dfl: 0.197888 loss: 1.322825 eta: 14:13:30 batch_cost: 3.4053 data_cost: 0.0024 ips: 37.5882 images/s [10/17 07:00:04] ppdet.engine INFO: Epoch: [235] [140/229] learning_rate: 0.043768 loss_vfl: 0.808542 loss_bbox: 0.315897 loss_dfl: 0.193646 loss: 1.314064 eta: 14:12:20 batch_cost: 3.3401 data_cost: 0.0023 ips: 38.3220 images/s [10/17 07:01:13] ppdet.engine INFO: Epoch: [235] [160/229] learning_rate: 0.043654 loss_vfl: 0.812635 loss_bbox: 0.308061 loss_dfl: 0.191915 loss: 1.320064 eta: 14:11:10 batch_cost: 3.3397 data_cost: 0.0024 ips: 38.3266 images/s [10/17 07:02:26] ppdet.engine INFO: Epoch: [235] [180/229] learning_rate: 0.043540 loss_vfl: 0.809601 loss_bbox: 0.313996 loss_dfl: 0.193708 loss: 1.323117 eta: 14:10:01 batch_cost: 3.4748 data_cost: 0.0024 ips: 36.8368 images/s [10/17 07:03:36] ppdet.engine INFO: Epoch: [235] [200/229] learning_rate: 0.043426 loss_vfl: 0.803913 loss_bbox: 0.323143 loss_dfl: 0.200183 loss: 1.318958 eta: 14:08:51 batch_cost: 3.3712 data_cost: 0.0024 ips: 37.9690 images/s [10/17 07:04:46] ppdet.engine INFO: Epoch: [235] [220/229] learning_rate: 0.043312 loss_vfl: 0.806256 loss_bbox: 0.324690 loss_dfl: 0.196373 loss: 1.328037 eta: 14:07:41 batch_cost: 3.3284 data_cost: 0.0024 ips: 38.4569 images/s [10/17 07:05:41] ppdet.engine INFO: Epoch: [236] [ 0/229] learning_rate: 0.043261 loss_vfl: 0.812137 loss_bbox: 0.320933 loss_dfl: 0.194802 loss: 1.328174 eta: 14:07:14 batch_cost: 4.2997 data_cost: 0.5944 ips: 29.7698 images/s [10/17 07:06:55] ppdet.engine INFO: Epoch: [236] [ 20/229] learning_rate: 0.043148 loss_vfl: 0.812605 loss_bbox: 0.322633 loss_dfl: 0.195171 loss: 1.315999 eta: 14:06:05 batch_cost: 3.5552 data_cost: 0.0026 ips: 36.0035 images/s [10/17 07:08:06] ppdet.engine INFO: Epoch: [236] [ 40/229] learning_rate: 0.043034 loss_vfl: 0.823795 loss_bbox: 0.319079 loss_dfl: 0.194742 loss: 1.333633 eta: 14:04:56 batch_cost: 3.4316 data_cost: 0.0032 ips: 37.3009 images/s [10/17 07:09:18] ppdet.engine INFO: Epoch: [236] [ 60/229] learning_rate: 0.042921 loss_vfl: 0.823678 loss_bbox: 0.307391 loss_dfl: 0.193308 loss: 1.339145 eta: 14:03:46 batch_cost: 3.4259 data_cost: 0.0026 ips: 37.3620 images/s [10/17 07:10:28] ppdet.engine INFO: Epoch: [236] [ 80/229] learning_rate: 0.042808 loss_vfl: 0.814920 loss_bbox: 0.308079 loss_dfl: 0.196601 loss: 1.322125 eta: 14:02:36 batch_cost: 3.3336 data_cost: 0.0024 ips: 38.3974 images/s [10/17 07:11:40] ppdet.engine INFO: Epoch: [236] [100/229] learning_rate: 0.042695 loss_vfl: 0.815251 loss_bbox: 0.319298 loss_dfl: 0.198751 loss: 1.324382 eta: 14:01:27 batch_cost: 3.4803 data_cost: 0.0031 ips: 36.7786 images/s [10/17 07:12:52] ppdet.engine INFO: Epoch: [236] [120/229] learning_rate: 0.042582 loss_vfl: 0.811419 loss_bbox: 0.313931 loss_dfl: 0.194114 loss: 1.310837 eta: 14:00:17 batch_cost: 3.4479 data_cost: 0.0046 ips: 37.1241 images/s [10/17 07:14:03] ppdet.engine INFO: Epoch: [236] [140/229] learning_rate: 0.042469 loss_vfl: 0.829145 loss_bbox: 0.308436 loss_dfl: 0.197976 loss: 1.328147 eta: 13:59:08 batch_cost: 3.3759 data_cost: 0.0027 ips: 37.9160 images/s [10/17 07:15:12] ppdet.engine INFO: Epoch: [236] [160/229] learning_rate: 0.042357 loss_vfl: 0.820956 loss_bbox: 0.311986 loss_dfl: 0.189675 loss: 1.328646 eta: 13:57:57 batch_cost: 3.3365 data_cost: 0.0024 ips: 38.3633 images/s [10/17 07:16:26] ppdet.engine INFO: Epoch: [236] [180/229] learning_rate: 0.042244 loss_vfl: 0.824936 loss_bbox: 0.307444 loss_dfl: 0.187134 loss: 1.312425 eta: 13:56:48 batch_cost: 3.5175 data_cost: 0.0025 ips: 36.3892 images/s [10/17 07:17:37] ppdet.engine INFO: Epoch: [236] [200/229] learning_rate: 0.042132 loss_vfl: 0.818936 loss_bbox: 0.316270 loss_dfl: 0.197906 loss: 1.332927 eta: 13:55:39 batch_cost: 3.4194 data_cost: 0.0024 ips: 37.4332 images/s [10/17 07:18:43] ppdet.engine INFO: Epoch: [236] [220/229] learning_rate: 0.042019 loss_vfl: 0.807674 loss_bbox: 0.317969 loss_dfl: 0.195864 loss: 1.319307 eta: 13:54:28 batch_cost: 3.1652 data_cost: 0.0025 ips: 40.4404 images/s [10/17 07:19:38] ppdet.engine INFO: Epoch: [237] [ 0/229] learning_rate: 0.041969 loss_vfl: 0.811155 loss_bbox: 0.315703 loss_dfl: 0.194609 loss: 1.317256 eta: 13:54:02 batch_cost: 4.1355 data_cost: 0.7290 ips: 30.9513 images/s [10/17 07:20:50] ppdet.engine INFO: Epoch: [237] [ 20/229] learning_rate: 0.041857 loss_vfl: 0.813305 loss_bbox: 0.316452 loss_dfl: 0.197667 loss: 1.326759 eta: 13:52:52 batch_cost: 3.4487 data_cost: 0.0025 ips: 37.1152 images/s [10/17 07:22:01] ppdet.engine INFO: Epoch: [237] [ 40/229] learning_rate: 0.041745 loss_vfl: 0.803882 loss_bbox: 0.310255 loss_dfl: 0.193934 loss: 1.293245 eta: 13:51:43 batch_cost: 3.4445 data_cost: 0.0025 ips: 37.1611 images/s [10/17 07:23:12] ppdet.engine INFO: Epoch: [237] [ 60/229] learning_rate: 0.041633 loss_vfl: 0.803093 loss_bbox: 0.301452 loss_dfl: 0.186868 loss: 1.297502 eta: 13:50:33 batch_cost: 3.3589 data_cost: 0.0024 ips: 38.1075 images/s [10/17 07:24:22] ppdet.engine INFO: Epoch: [237] [ 80/229] learning_rate: 0.041522 loss_vfl: 0.793839 loss_bbox: 0.322046 loss_dfl: 0.198666 loss: 1.327588 eta: 13:49:23 batch_cost: 3.3780 data_cost: 0.0024 ips: 37.8922 images/s [10/17 07:25:35] ppdet.engine INFO: Epoch: [237] [100/229] learning_rate: 0.041410 loss_vfl: 0.814900 loss_bbox: 0.312131 loss_dfl: 0.194408 loss: 1.307561 eta: 13:48:14 batch_cost: 3.4989 data_cost: 0.0025 ips: 36.5829 images/s [10/17 07:26:47] ppdet.engine INFO: Epoch: [237] [120/229] learning_rate: 0.041299 loss_vfl: 0.822444 loss_bbox: 0.304377 loss_dfl: 0.192198 loss: 1.313886 eta: 13:47:04 batch_cost: 3.4245 data_cost: 0.0034 ips: 37.3773 images/s [10/17 07:27:56] ppdet.engine INFO: Epoch: [237] [140/229] learning_rate: 0.041187 loss_vfl: 0.808316 loss_bbox: 0.311071 loss_dfl: 0.195093 loss: 1.325625 eta: 13:45:54 batch_cost: 3.3416 data_cost: 0.0024 ips: 38.3052 images/s [10/17 07:29:06] ppdet.engine INFO: Epoch: [237] [160/229] learning_rate: 0.041076 loss_vfl: 0.801950 loss_bbox: 0.309177 loss_dfl: 0.191053 loss: 1.307917 eta: 13:44:44 batch_cost: 3.3499 data_cost: 0.0024 ips: 38.2105 images/s [10/17 07:30:16] ppdet.engine INFO: Epoch: [237] [180/229] learning_rate: 0.040965 loss_vfl: 0.820584 loss_bbox: 0.296929 loss_dfl: 0.191618 loss: 1.322412 eta: 13:43:34 batch_cost: 3.3403 data_cost: 0.0024 ips: 38.3200 images/s [10/17 07:31:25] ppdet.engine INFO: Epoch: [237] [200/229] learning_rate: 0.040855 loss_vfl: 0.823030 loss_bbox: 0.310817 loss_dfl: 0.193990 loss: 1.328116 eta: 13:42:24 batch_cost: 3.2970 data_cost: 0.0023 ips: 38.8235 images/s [10/17 07:32:34] ppdet.engine INFO: Epoch: [237] [220/229] learning_rate: 0.040744 loss_vfl: 0.818270 loss_bbox: 0.302060 loss_dfl: 0.188750 loss: 1.313773 eta: 13:41:13 batch_cost: 3.3195 data_cost: 0.0024 ips: 38.5597 images/s [10/17 07:33:27] ppdet.engine INFO: Epoch: [238] [ 0/229] learning_rate: 0.040694 loss_vfl: 0.812759 loss_bbox: 0.301725 loss_dfl: 0.188425 loss: 1.301911 eta: 13:40:47 batch_cost: 4.1809 data_cost: 0.5708 ips: 30.6153 images/s [10/17 07:34:41] ppdet.engine INFO: Epoch: [238] [ 20/229] learning_rate: 0.040583 loss_vfl: 0.801768 loss_bbox: 0.312351 loss_dfl: 0.197246 loss: 1.303968 eta: 13:39:37 batch_cost: 3.5288 data_cost: 0.0027 ips: 36.2729 images/s [10/17 07:35:53] ppdet.engine INFO: Epoch: [238] [ 40/229] learning_rate: 0.040473 loss_vfl: 0.810663 loss_bbox: 0.307329 loss_dfl: 0.195154 loss: 1.316234 eta: 13:38:28 batch_cost: 3.4793 data_cost: 0.0027 ips: 36.7888 images/s [10/17 07:37:05] ppdet.engine INFO: Epoch: [238] [ 60/229] learning_rate: 0.040363 loss_vfl: 0.797997 loss_bbox: 0.327937 loss_dfl: 0.201048 loss: 1.335415 eta: 13:37:19 batch_cost: 3.4566 data_cost: 0.0025 ips: 37.0304 images/s [10/17 07:38:18] ppdet.engine INFO: Epoch: [238] [ 80/229] learning_rate: 0.040253 loss_vfl: 0.817270 loss_bbox: 0.331945 loss_dfl: 0.201138 loss: 1.347869 eta: 13:36:09 batch_cost: 3.4641 data_cost: 0.0024 ips: 36.9506 images/s [10/17 07:39:29] ppdet.engine INFO: Epoch: [238] [100/229] learning_rate: 0.040143 loss_vfl: 0.805248 loss_bbox: 0.317149 loss_dfl: 0.200929 loss: 1.332734 eta: 13:35:00 batch_cost: 3.4027 data_cost: 0.0026 ips: 37.6177 images/s [10/17 07:40:40] ppdet.engine INFO: Epoch: [238] [120/229] learning_rate: 0.040033 loss_vfl: 0.815160 loss_bbox: 0.308318 loss_dfl: 0.198560 loss: 1.332370 eta: 13:33:50 batch_cost: 3.3989 data_cost: 0.0025 ips: 37.6593 images/s [10/17 07:41:51] ppdet.engine INFO: Epoch: [238] [140/229] learning_rate: 0.039923 loss_vfl: 0.806659 loss_bbox: 0.326750 loss_dfl: 0.204330 loss: 1.342204 eta: 13:32:40 batch_cost: 3.4077 data_cost: 0.0027 ips: 37.5620 images/s [10/17 07:43:02] ppdet.engine INFO: Epoch: [238] [160/229] learning_rate: 0.039814 loss_vfl: 0.812860 loss_bbox: 0.303842 loss_dfl: 0.191239 loss: 1.324115 eta: 13:31:30 batch_cost: 3.3957 data_cost: 0.0026 ips: 37.6948 images/s [10/17 07:44:13] ppdet.engine INFO: Epoch: [238] [180/229] learning_rate: 0.039704 loss_vfl: 0.829157 loss_bbox: 0.316524 loss_dfl: 0.196857 loss: 1.340798 eta: 13:30:21 batch_cost: 3.4098 data_cost: 0.0025 ips: 37.5386 images/s [10/17 07:45:23] ppdet.engine INFO: Epoch: [238] [200/229] learning_rate: 0.039595 loss_vfl: 0.815260 loss_bbox: 0.299367 loss_dfl: 0.188687 loss: 1.307572 eta: 13:29:11 batch_cost: 3.3799 data_cost: 0.0024 ips: 37.8706 images/s [10/17 07:46:33] ppdet.engine INFO: Epoch: [238] [220/229] learning_rate: 0.039486 loss_vfl: 0.809358 loss_bbox: 0.313217 loss_dfl: 0.196095 loss: 1.325408 eta: 13:28:01 batch_cost: 3.3243 data_cost: 0.0025 ips: 38.5042 images/s [10/17 07:47:26] ppdet.engine INFO: Epoch: [239] [ 0/229] learning_rate: 0.039437 loss_vfl: 0.815781 loss_bbox: 0.313217 loss_dfl: 0.192778 loss: 1.311832 eta: 13:27:34 batch_cost: 4.1360 data_cost: 0.3591 ips: 30.9475 images/s [10/17 07:48:37] ppdet.engine INFO: Epoch: [239] [ 20/229] learning_rate: 0.039328 loss_vfl: 0.817142 loss_bbox: 0.294175 loss_dfl: 0.190793 loss: 1.301819 eta: 13:26:24 batch_cost: 3.4129 data_cost: 0.0026 ips: 37.5045 images/s [10/17 07:49:49] ppdet.engine INFO: Epoch: [239] [ 40/229] learning_rate: 0.039219 loss_vfl: 0.813076 loss_bbox: 0.285873 loss_dfl: 0.191155 loss: 1.294371 eta: 13:25:15 batch_cost: 3.4420 data_cost: 0.0025 ips: 37.1872 images/s [10/17 07:51:00] ppdet.engine INFO: Epoch: [239] [ 60/229] learning_rate: 0.039110 loss_vfl: 0.811170 loss_bbox: 0.315644 loss_dfl: 0.193594 loss: 1.320400 eta: 13:24:05 batch_cost: 3.4198 data_cost: 0.0025 ips: 37.4293 images/s [10/17 07:52:12] ppdet.engine INFO: Epoch: [239] [ 80/229] learning_rate: 0.039001 loss_vfl: 0.820528 loss_bbox: 0.304016 loss_dfl: 0.194660 loss: 1.317049 eta: 13:22:56 batch_cost: 3.4553 data_cost: 0.0024 ips: 37.0444 images/s [10/17 07:53:23] ppdet.engine INFO: Epoch: [239] [100/229] learning_rate: 0.038893 loss_vfl: 0.814978 loss_bbox: 0.313064 loss_dfl: 0.200657 loss: 1.331639 eta: 13:21:46 batch_cost: 3.3861 data_cost: 0.0025 ips: 37.8014 images/s [10/17 07:54:34] ppdet.engine INFO: Epoch: [239] [120/229] learning_rate: 0.038785 loss_vfl: 0.811616 loss_bbox: 0.314494 loss_dfl: 0.198724 loss: 1.312619 eta: 13:20:36 batch_cost: 3.3905 data_cost: 0.0025 ips: 37.7526 images/s [10/17 07:55:46] ppdet.engine INFO: Epoch: [239] [140/229] learning_rate: 0.038676 loss_vfl: 0.826835 loss_bbox: 0.307113 loss_dfl: 0.194029 loss: 1.314791 eta: 13:19:27 batch_cost: 3.4663 data_cost: 0.0026 ips: 36.9271 images/s [10/17 07:56:56] ppdet.engine INFO: Epoch: [239] [160/229] learning_rate: 0.038568 loss_vfl: 0.816655 loss_bbox: 0.319087 loss_dfl: 0.203382 loss: 1.336995 eta: 13:18:17 batch_cost: 3.3793 data_cost: 0.0024 ips: 37.8782 images/s [10/17 07:58:08] ppdet.engine INFO: Epoch: [239] [180/229] learning_rate: 0.038460 loss_vfl: 0.809610 loss_bbox: 0.308141 loss_dfl: 0.197510 loss: 1.331399 eta: 13:17:07 batch_cost: 3.4392 data_cost: 0.0024 ips: 37.2176 images/s [10/17 07:59:20] ppdet.engine INFO: Epoch: [239] [200/229] learning_rate: 0.038353 loss_vfl: 0.811928 loss_bbox: 0.319599 loss_dfl: 0.196929 loss: 1.326585 eta: 13:15:58 batch_cost: 3.4592 data_cost: 0.0025 ips: 37.0027 images/s [10/17 08:00:30] ppdet.engine INFO: Epoch: [239] [220/229] learning_rate: 0.038245 loss_vfl: 0.815357 loss_bbox: 0.310020 loss_dfl: 0.190190 loss: 1.327096 eta: 13:14:48 batch_cost: 3.3160 data_cost: 0.0024 ips: 38.6007 images/s [10/17 08:01:00] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 08:01:01] ppdet.engine INFO: Eval iter: 0 [10/17 08:01:40] ppdet.engine INFO: Eval iter: 100 [10/17 08:02:02] ppdet.engine INFO: Eval iter: 200 [10/17 08:02:24] ppdet.engine INFO: Eval iter: 300 [10/17 08:02:45] ppdet.engine INFO: Eval iter: 400 [10/17 08:03:08] ppdet.engine INFO: Eval iter: 500 [10/17 08:03:29] ppdet.engine INFO: Eval iter: 600 [10/17 08:03:50] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/17 08:03:51] 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=96.64s). Accumulating evaluation results... DONE (t=16.66s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.271 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.413 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.282 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.076 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.270 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.471 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 ] = 0.397 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.424 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 ] = 0.472 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.682 [10/17 08:05:51] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.993124817290468 [10/17 08:05:51] ppdet.engine INFO: Best test bbox ap is 0.271. [10/17 08:05:51] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 08:05:54] ppdet.engine INFO: Epoch: [240] [ 0/229] learning_rate: 0.038197 loss_vfl: 0.807450 loss_bbox: 0.305611 loss_dfl: 0.189694 loss: 1.312055 eta: 13:14:16 batch_cost: 3.1361 data_cost: 0.0025 ips: 40.8153 images/s [10/17 08:07:07] ppdet.engine INFO: Epoch: [240] [ 20/229] learning_rate: 0.038089 loss_vfl: 0.794380 loss_bbox: 0.322321 loss_dfl: 0.192716 loss: 1.310415 eta: 13:13:07 batch_cost: 3.5095 data_cost: 0.0030 ips: 36.4720 images/s [10/17 08:08:19] ppdet.engine INFO: Epoch: [240] [ 40/229] learning_rate: 0.037982 loss_vfl: 0.807501 loss_bbox: 0.314942 loss_dfl: 0.194616 loss: 1.312227 eta: 13:11:57 batch_cost: 3.4601 data_cost: 0.0025 ips: 36.9932 images/s [10/17 08:09:30] ppdet.engine INFO: Epoch: [240] [ 60/229] learning_rate: 0.037875 loss_vfl: 0.811719 loss_bbox: 0.311491 loss_dfl: 0.197746 loss: 1.310664 eta: 13:10:47 batch_cost: 3.3750 data_cost: 0.0025 ips: 37.9261 images/s [10/17 08:10:40] ppdet.engine INFO: Epoch: [240] [ 80/229] learning_rate: 0.037768 loss_vfl: 0.807521 loss_bbox: 0.311585 loss_dfl: 0.195741 loss: 1.329893 eta: 13:09:37 batch_cost: 3.3644 data_cost: 0.0026 ips: 38.0454 images/s [10/17 08:11:52] ppdet.engine INFO: Epoch: [240] [100/229] learning_rate: 0.037661 loss_vfl: 0.809464 loss_bbox: 0.300826 loss_dfl: 0.191494 loss: 1.314867 eta: 13:08:28 batch_cost: 3.4156 data_cost: 0.0026 ips: 37.4748 images/s [10/17 08:13:03] ppdet.engine INFO: Epoch: [240] [120/229] learning_rate: 0.037554 loss_vfl: 0.802728 loss_bbox: 0.311203 loss_dfl: 0.194684 loss: 1.308083 eta: 13:07:18 batch_cost: 3.4167 data_cost: 0.0029 ips: 37.4634 images/s [10/17 08:14:15] ppdet.engine INFO: Epoch: [240] [140/229] learning_rate: 0.037447 loss_vfl: 0.810029 loss_bbox: 0.312218 loss_dfl: 0.195377 loss: 1.310552 eta: 13:06:09 batch_cost: 3.4552 data_cost: 0.0025 ips: 37.0452 images/s [10/17 08:15:25] ppdet.engine INFO: Epoch: [240] [160/229] learning_rate: 0.037341 loss_vfl: 0.803728 loss_bbox: 0.314898 loss_dfl: 0.191926 loss: 1.300359 eta: 13:04:59 batch_cost: 3.3632 data_cost: 0.0034 ips: 38.0588 images/s [10/17 08:16:37] ppdet.engine INFO: Epoch: [240] [180/229] learning_rate: 0.037234 loss_vfl: 0.810104 loss_bbox: 0.315163 loss_dfl: 0.196492 loss: 1.320772 eta: 13:03:49 batch_cost: 3.4252 data_cost: 0.0024 ips: 37.3704 images/s [10/17 08:17:48] ppdet.engine INFO: Epoch: [240] [200/229] learning_rate: 0.037128 loss_vfl: 0.810841 loss_bbox: 0.304822 loss_dfl: 0.191249 loss: 1.305274 eta: 13:02:40 batch_cost: 3.3972 data_cost: 0.0031 ips: 37.6781 images/s [10/17 08:18:55] ppdet.engine INFO: Epoch: [240] [220/229] learning_rate: 0.037022 loss_vfl: 0.816100 loss_bbox: 0.307734 loss_dfl: 0.188559 loss: 1.296192 eta: 13:01:29 batch_cost: 3.2122 data_cost: 0.0025 ips: 39.8477 images/s [10/17 08:19:49] ppdet.engine INFO: Epoch: [241] [ 0/229] learning_rate: 0.036974 loss_vfl: 0.816100 loss_bbox: 0.306417 loss_dfl: 0.190532 loss: 1.293981 eta: 13:01:02 batch_cost: 4.1821 data_cost: 0.3471 ips: 30.6068 images/s [10/17 08:21:04] ppdet.engine INFO: Epoch: [241] [ 20/229] learning_rate: 0.036869 loss_vfl: 0.805717 loss_bbox: 0.309514 loss_dfl: 0.195540 loss: 1.324508 eta: 12:59:54 batch_cost: 3.5816 data_cost: 0.0030 ips: 35.7380 images/s [10/17 08:22:17] ppdet.engine INFO: Epoch: [241] [ 40/229] learning_rate: 0.036763 loss_vfl: 0.815639 loss_bbox: 0.332292 loss_dfl: 0.204108 loss: 1.348578 eta: 12:58:44 batch_cost: 3.4843 data_cost: 0.0037 ips: 36.7364 images/s [10/17 08:23:31] ppdet.engine INFO: Epoch: [241] [ 60/229] learning_rate: 0.036657 loss_vfl: 0.798082 loss_bbox: 0.311594 loss_dfl: 0.196048 loss: 1.321187 eta: 12:57:35 batch_cost: 3.5397 data_cost: 0.0026 ips: 36.1610 images/s [10/17 08:24:42] ppdet.engine INFO: Epoch: [241] [ 80/229] learning_rate: 0.036552 loss_vfl: 0.809399 loss_bbox: 0.306916 loss_dfl: 0.190304 loss: 1.309557 eta: 12:56:26 batch_cost: 3.4460 data_cost: 0.0025 ips: 37.1448 images/s [10/17 08:25:55] ppdet.engine INFO: Epoch: [241] [100/229] learning_rate: 0.036446 loss_vfl: 0.813074 loss_bbox: 0.309660 loss_dfl: 0.196565 loss: 1.316286 eta: 12:55:16 batch_cost: 3.4905 data_cost: 0.0029 ips: 36.6708 images/s [10/17 08:27:06] ppdet.engine INFO: Epoch: [241] [120/229] learning_rate: 0.036341 loss_vfl: 0.805238 loss_bbox: 0.315760 loss_dfl: 0.198173 loss: 1.330408 eta: 12:54:07 batch_cost: 3.3943 data_cost: 0.0025 ips: 37.7103 images/s [10/17 08:28:18] ppdet.engine INFO: Epoch: [241] [140/229] learning_rate: 0.036236 loss_vfl: 0.814577 loss_bbox: 0.327024 loss_dfl: 0.195924 loss: 1.339262 eta: 12:52:57 batch_cost: 3.4585 data_cost: 0.0024 ips: 37.0104 images/s [10/17 08:29:30] ppdet.engine INFO: Epoch: [241] [160/229] learning_rate: 0.036131 loss_vfl: 0.811959 loss_bbox: 0.315642 loss_dfl: 0.198994 loss: 1.333756 eta: 12:51:48 batch_cost: 3.3981 data_cost: 0.0026 ips: 37.6680 images/s [10/17 08:30:41] ppdet.engine INFO: Epoch: [241] [180/229] learning_rate: 0.036026 loss_vfl: 0.793108 loss_bbox: 0.307984 loss_dfl: 0.192215 loss: 1.295427 eta: 12:50:38 batch_cost: 3.4080 data_cost: 0.0028 ips: 37.5587 images/s [10/17 08:31:52] ppdet.engine INFO: Epoch: [241] [200/229] learning_rate: 0.035922 loss_vfl: 0.804207 loss_bbox: 0.305479 loss_dfl: 0.189428 loss: 1.303050 eta: 12:49:28 batch_cost: 3.4159 data_cost: 0.0024 ips: 37.4717 images/s [10/17 08:33:01] ppdet.engine INFO: Epoch: [241] [220/229] learning_rate: 0.035817 loss_vfl: 0.808143 loss_bbox: 0.310637 loss_dfl: 0.196919 loss: 1.319491 eta: 12:48:18 batch_cost: 3.2955 data_cost: 0.0023 ips: 38.8407 images/s [10/17 08:33:53] ppdet.engine INFO: Epoch: [242] [ 0/229] learning_rate: 0.035770 loss_vfl: 0.813246 loss_bbox: 0.295256 loss_dfl: 0.191146 loss: 1.306802 eta: 12:47:51 batch_cost: 4.1233 data_cost: 0.5650 ips: 31.0433 images/s [10/17 08:35:03] ppdet.engine INFO: Epoch: [242] [ 20/229] learning_rate: 0.035666 loss_vfl: 0.800131 loss_bbox: 0.304994 loss_dfl: 0.187356 loss: 1.293515 eta: 12:46:41 batch_cost: 3.3742 data_cost: 0.0026 ips: 37.9352 images/s [10/17 08:36:15] ppdet.engine INFO: Epoch: [242] [ 40/229] learning_rate: 0.035562 loss_vfl: 0.812464 loss_bbox: 0.308235 loss_dfl: 0.193218 loss: 1.311593 eta: 12:45:31 batch_cost: 3.4505 data_cost: 0.0028 ips: 37.0965 images/s [10/17 08:37:26] ppdet.engine INFO: Epoch: [242] [ 60/229] learning_rate: 0.035458 loss_vfl: 0.816985 loss_bbox: 0.301473 loss_dfl: 0.191876 loss: 1.304996 eta: 12:44:22 batch_cost: 3.3762 data_cost: 0.0024 ips: 37.9130 images/s [10/17 08:38:37] ppdet.engine INFO: Epoch: [242] [ 80/229] learning_rate: 0.035354 loss_vfl: 0.807088 loss_bbox: 0.304165 loss_dfl: 0.193051 loss: 1.305003 eta: 12:43:12 batch_cost: 3.4246 data_cost: 0.0024 ips: 37.3769 images/s [10/17 08:39:48] ppdet.engine INFO: Epoch: [242] [100/229] learning_rate: 0.035250 loss_vfl: 0.800250 loss_bbox: 0.314648 loss_dfl: 0.194505 loss: 1.304403 eta: 12:42:02 batch_cost: 3.3853 data_cost: 0.0026 ips: 37.8111 images/s [10/17 08:40:58] ppdet.engine INFO: Epoch: [242] [120/229] learning_rate: 0.035146 loss_vfl: 0.790367 loss_bbox: 0.313048 loss_dfl: 0.196596 loss: 1.303834 eta: 12:40:52 batch_cost: 3.3522 data_cost: 0.0024 ips: 38.1839 images/s [10/17 08:42:07] ppdet.engine INFO: Epoch: [242] [140/229] learning_rate: 0.035043 loss_vfl: 0.806062 loss_bbox: 0.312201 loss_dfl: 0.197028 loss: 1.328803 eta: 12:39:42 batch_cost: 3.3308 data_cost: 0.0025 ips: 38.4288 images/s [10/17 08:43:17] ppdet.engine INFO: Epoch: [242] [160/229] learning_rate: 0.034939 loss_vfl: 0.818448 loss_bbox: 0.309053 loss_dfl: 0.193371 loss: 1.303914 eta: 12:38:32 batch_cost: 3.3155 data_cost: 0.0028 ips: 38.6062 images/s [10/17 08:44:27] ppdet.engine INFO: Epoch: [242] [180/229] learning_rate: 0.034836 loss_vfl: 0.810581 loss_bbox: 0.317100 loss_dfl: 0.193862 loss: 1.309136 eta: 12:37:22 batch_cost: 3.3891 data_cost: 0.0024 ips: 37.7677 images/s [10/17 08:45:40] ppdet.engine INFO: Epoch: [242] [200/229] learning_rate: 0.034733 loss_vfl: 0.810549 loss_bbox: 0.310821 loss_dfl: 0.191273 loss: 1.317420 eta: 12:36:13 batch_cost: 3.5048 data_cost: 0.0026 ips: 36.5212 images/s [10/17 08:46:48] ppdet.engine INFO: Epoch: [242] [220/229] learning_rate: 0.034630 loss_vfl: 0.811032 loss_bbox: 0.320212 loss_dfl: 0.200246 loss: 1.341019 eta: 12:35:03 batch_cost: 3.2381 data_cost: 0.0024 ips: 39.5294 images/s [10/17 08:47:43] ppdet.engine INFO: Epoch: [243] [ 0/229] learning_rate: 0.034584 loss_vfl: 0.812771 loss_bbox: 0.322908 loss_dfl: 0.203506 loss: 1.335858 eta: 12:34:36 batch_cost: 4.1971 data_cost: 0.5841 ips: 30.4970 images/s [10/17 08:48:56] ppdet.engine INFO: Epoch: [243] [ 20/229] learning_rate: 0.034481 loss_vfl: 0.822479 loss_bbox: 0.316858 loss_dfl: 0.198161 loss: 1.340829 eta: 12:33:27 batch_cost: 3.5201 data_cost: 0.0027 ips: 36.3625 images/s [10/17 08:50:09] ppdet.engine INFO: Epoch: [243] [ 40/229] learning_rate: 0.034379 loss_vfl: 0.811384 loss_bbox: 0.311503 loss_dfl: 0.195868 loss: 1.321568 eta: 12:32:17 batch_cost: 3.4786 data_cost: 0.0025 ips: 36.7968 images/s [10/17 08:51:21] ppdet.engine INFO: Epoch: [243] [ 60/229] learning_rate: 0.034276 loss_vfl: 0.809647 loss_bbox: 0.312371 loss_dfl: 0.195142 loss: 1.328179 eta: 12:31:08 batch_cost: 3.4770 data_cost: 0.0029 ips: 36.8133 images/s [10/17 08:52:34] ppdet.engine INFO: Epoch: [243] [ 80/229] learning_rate: 0.034174 loss_vfl: 0.805406 loss_bbox: 0.323315 loss_dfl: 0.203529 loss: 1.327602 eta: 12:29:59 batch_cost: 3.5081 data_cost: 0.0024 ips: 36.4873 images/s [10/17 08:53:45] ppdet.engine INFO: Epoch: [243] [100/229] learning_rate: 0.034072 loss_vfl: 0.804590 loss_bbox: 0.311308 loss_dfl: 0.195800 loss: 1.321928 eta: 12:28:49 batch_cost: 3.3975 data_cost: 0.0026 ips: 37.6745 images/s [10/17 08:54:59] ppdet.engine INFO: Epoch: [243] [120/229] learning_rate: 0.033969 loss_vfl: 0.814403 loss_bbox: 0.315139 loss_dfl: 0.199088 loss: 1.323389 eta: 12:27:40 batch_cost: 3.5277 data_cost: 0.0026 ips: 36.2844 images/s [10/17 08:56:11] ppdet.engine INFO: Epoch: [243] [140/229] learning_rate: 0.033868 loss_vfl: 0.801819 loss_bbox: 0.324350 loss_dfl: 0.199299 loss: 1.334947 eta: 12:26:31 batch_cost: 3.4982 data_cost: 0.0040 ips: 36.5907 images/s [10/17 08:57:23] ppdet.engine INFO: Epoch: [243] [160/229] learning_rate: 0.033766 loss_vfl: 0.808113 loss_bbox: 0.307380 loss_dfl: 0.197621 loss: 1.313363 eta: 12:25:21 batch_cost: 3.4271 data_cost: 0.0033 ips: 37.3495 images/s [10/17 08:58:34] ppdet.engine INFO: Epoch: [243] [180/229] learning_rate: 0.033664 loss_vfl: 0.817519 loss_bbox: 0.306055 loss_dfl: 0.192261 loss: 1.302595 eta: 12:24:12 batch_cost: 3.3914 data_cost: 0.0025 ips: 37.7421 images/s [10/17 08:59:46] ppdet.engine INFO: Epoch: [243] [200/229] learning_rate: 0.033563 loss_vfl: 0.810008 loss_bbox: 0.298355 loss_dfl: 0.190008 loss: 1.300796 eta: 12:23:02 batch_cost: 3.4458 data_cost: 0.0028 ips: 37.1472 images/s [10/17 09:00:53] ppdet.engine INFO: Epoch: [243] [220/229] learning_rate: 0.033461 loss_vfl: 0.811590 loss_bbox: 0.305390 loss_dfl: 0.194754 loss: 1.317077 eta: 12:21:52 batch_cost: 3.2446 data_cost: 0.0030 ips: 39.4504 images/s [10/17 09:01:47] ppdet.engine INFO: Epoch: [244] [ 0/229] learning_rate: 0.033416 loss_vfl: 0.815455 loss_bbox: 0.302504 loss_dfl: 0.192085 loss: 1.304899 eta: 12:21:24 batch_cost: 4.1211 data_cost: 0.5490 ips: 31.0598 images/s [10/17 09:02:59] ppdet.engine INFO: Epoch: [244] [ 20/229] learning_rate: 0.033315 loss_vfl: 0.807615 loss_bbox: 0.299652 loss_dfl: 0.191340 loss: 1.293740 eta: 12:20:15 batch_cost: 3.4549 data_cost: 0.0026 ips: 37.0486 images/s [10/17 09:04:09] ppdet.engine INFO: Epoch: [244] [ 40/229] learning_rate: 0.033214 loss_vfl: 0.807905 loss_bbox: 0.309284 loss_dfl: 0.191137 loss: 1.292886 eta: 12:19:05 batch_cost: 3.3917 data_cost: 0.0024 ips: 37.7388 images/s [10/17 09:05:21] ppdet.engine INFO: Epoch: [244] [ 60/229] learning_rate: 0.033113 loss_vfl: 0.817774 loss_bbox: 0.314564 loss_dfl: 0.197864 loss: 1.325295 eta: 12:17:56 batch_cost: 3.4336 data_cost: 0.0025 ips: 37.2788 images/s [10/17 09:06:35] ppdet.engine INFO: Epoch: [244] [ 80/229] learning_rate: 0.033012 loss_vfl: 0.804816 loss_bbox: 0.309205 loss_dfl: 0.193574 loss: 1.307101 eta: 12:16:47 batch_cost: 3.5415 data_cost: 0.0026 ips: 36.1433 images/s [10/17 09:07:47] ppdet.engine INFO: Epoch: [244] [100/229] learning_rate: 0.032911 loss_vfl: 0.802336 loss_bbox: 0.304398 loss_dfl: 0.193928 loss: 1.318226 eta: 12:15:37 batch_cost: 3.4353 data_cost: 0.0024 ips: 37.2605 images/s [10/17 09:08:58] ppdet.engine INFO: Epoch: [244] [120/229] learning_rate: 0.032811 loss_vfl: 0.812630 loss_bbox: 0.301228 loss_dfl: 0.192676 loss: 1.315142 eta: 12:14:27 batch_cost: 3.3999 data_cost: 0.0028 ips: 37.6485 images/s [10/17 09:10:09] ppdet.engine INFO: Epoch: [244] [140/229] learning_rate: 0.032711 loss_vfl: 0.792956 loss_bbox: 0.302725 loss_dfl: 0.189418 loss: 1.290126 eta: 12:13:18 batch_cost: 3.4272 data_cost: 0.0028 ips: 37.3487 images/s [10/17 09:11:19] ppdet.engine INFO: Epoch: [244] [160/229] learning_rate: 0.032610 loss_vfl: 0.805712 loss_bbox: 0.309922 loss_dfl: 0.200308 loss: 1.332633 eta: 12:12:08 batch_cost: 3.3558 data_cost: 0.0024 ips: 38.1427 images/s [10/17 09:12:31] ppdet.engine INFO: Epoch: [244] [180/229] learning_rate: 0.032510 loss_vfl: 0.810276 loss_bbox: 0.306335 loss_dfl: 0.194396 loss: 1.304127 eta: 12:10:58 batch_cost: 3.4270 data_cost: 0.0031 ips: 37.3501 images/s [10/17 09:13:41] ppdet.engine INFO: Epoch: [244] [200/229] learning_rate: 0.032410 loss_vfl: 0.816831 loss_bbox: 0.306091 loss_dfl: 0.200139 loss: 1.315336 eta: 12:09:49 batch_cost: 3.3790 data_cost: 0.0024 ips: 37.8811 images/s [10/17 09:14:50] ppdet.engine INFO: Epoch: [244] [220/229] learning_rate: 0.032311 loss_vfl: 0.810426 loss_bbox: 0.327281 loss_dfl: 0.201261 loss: 1.331877 eta: 12:08:38 batch_cost: 3.2956 data_cost: 0.0026 ips: 38.8392 images/s [10/17 09:15:48] ppdet.engine INFO: Epoch: [245] [ 0/229] learning_rate: 0.032266 loss_vfl: 0.809730 loss_bbox: 0.331823 loss_dfl: 0.202134 loss: 1.330024 eta: 12:08:12 batch_cost: 4.4236 data_cost: 0.8053 ips: 28.9354 images/s [10/17 09:17:01] ppdet.engine INFO: Epoch: [245] [ 20/229] learning_rate: 0.032166 loss_vfl: 0.795591 loss_bbox: 0.302462 loss_dfl: 0.190350 loss: 1.292603 eta: 12:07:03 batch_cost: 3.5183 data_cost: 0.0027 ips: 36.3808 images/s [10/17 09:18:14] ppdet.engine INFO: Epoch: [245] [ 40/229] learning_rate: 0.032067 loss_vfl: 0.820185 loss_bbox: 0.312760 loss_dfl: 0.197840 loss: 1.323840 eta: 12:05:54 batch_cost: 3.4638 data_cost: 0.0026 ips: 36.9538 images/s [10/17 09:19:26] ppdet.engine INFO: Epoch: [245] [ 60/229] learning_rate: 0.031968 loss_vfl: 0.805227 loss_bbox: 0.320882 loss_dfl: 0.198266 loss: 1.331273 eta: 12:04:44 batch_cost: 3.4599 data_cost: 0.0024 ips: 36.9953 images/s [10/17 09:20:34] ppdet.engine INFO: Epoch: [245] [ 80/229] learning_rate: 0.031869 loss_vfl: 0.806782 loss_bbox: 0.317172 loss_dfl: 0.195329 loss: 1.313923 eta: 12:03:34 batch_cost: 3.2842 data_cost: 0.0024 ips: 38.9745 images/s [10/17 09:21:44] ppdet.engine INFO: Epoch: [245] [100/229] learning_rate: 0.031770 loss_vfl: 0.799477 loss_bbox: 0.319087 loss_dfl: 0.195858 loss: 1.311038 eta: 12:02:24 batch_cost: 3.3229 data_cost: 0.0024 ips: 38.5207 images/s [10/17 09:22:57] ppdet.engine INFO: Epoch: [245] [120/229] learning_rate: 0.031671 loss_vfl: 0.814492 loss_bbox: 0.301014 loss_dfl: 0.192682 loss: 1.312910 eta: 12:01:15 batch_cost: 3.5107 data_cost: 0.0027 ips: 36.4596 images/s [10/17 09:24:08] ppdet.engine INFO: Epoch: [245] [140/229] learning_rate: 0.031572 loss_vfl: 0.806821 loss_bbox: 0.312566 loss_dfl: 0.197808 loss: 1.334714 eta: 12:00:05 batch_cost: 3.4122 data_cost: 0.0025 ips: 37.5129 images/s [10/17 09:25:20] ppdet.engine INFO: Epoch: [245] [160/229] learning_rate: 0.031473 loss_vfl: 0.801225 loss_bbox: 0.323034 loss_dfl: 0.201374 loss: 1.312129 eta: 11:58:56 batch_cost: 3.4267 data_cost: 0.0025 ips: 37.3538 images/s [10/17 09:26:30] ppdet.engine INFO: Epoch: [245] [180/229] learning_rate: 0.031375 loss_vfl: 0.806412 loss_bbox: 0.314554 loss_dfl: 0.193549 loss: 1.316606 eta: 11:57:46 batch_cost: 3.3784 data_cost: 0.0030 ips: 37.8882 images/s [10/17 09:27:41] ppdet.engine INFO: Epoch: [245] [200/229] learning_rate: 0.031277 loss_vfl: 0.810505 loss_bbox: 0.315496 loss_dfl: 0.195198 loss: 1.320907 eta: 11:56:36 batch_cost: 3.3837 data_cost: 0.0027 ips: 37.8279 images/s [10/17 09:28:48] ppdet.engine INFO: Epoch: [245] [220/229] learning_rate: 0.031179 loss_vfl: 0.802583 loss_bbox: 0.305352 loss_dfl: 0.192707 loss: 1.305945 eta: 11:55:26 batch_cost: 3.2346 data_cost: 0.0029 ips: 39.5726 images/s [10/17 09:29:42] ppdet.engine INFO: Epoch: [246] [ 0/229] learning_rate: 0.031134 loss_vfl: 0.807143 loss_bbox: 0.314179 loss_dfl: 0.194757 loss: 1.315014 eta: 11:54:58 batch_cost: 4.1035 data_cost: 0.5969 ips: 31.1931 images/s [10/17 09:30:55] ppdet.engine INFO: Epoch: [246] [ 20/229] learning_rate: 0.031036 loss_vfl: 0.806217 loss_bbox: 0.306503 loss_dfl: 0.197079 loss: 1.313192 eta: 11:53:49 batch_cost: 3.5038 data_cost: 0.0027 ips: 36.5322 images/s [10/17 09:32:06] ppdet.engine INFO: Epoch: [246] [ 40/229] learning_rate: 0.030939 loss_vfl: 0.803429 loss_bbox: 0.307838 loss_dfl: 0.193979 loss: 1.315572 eta: 11:52:39 batch_cost: 3.4048 data_cost: 0.0025 ips: 37.5936 images/s [10/17 09:33:20] ppdet.engine INFO: Epoch: [246] [ 60/229] learning_rate: 0.030841 loss_vfl: 0.809494 loss_bbox: 0.318075 loss_dfl: 0.192728 loss: 1.313236 eta: 11:51:30 batch_cost: 3.5661 data_cost: 0.0037 ips: 35.8935 images/s [10/17 09:34:32] ppdet.engine INFO: Epoch: [246] [ 80/229] learning_rate: 0.030743 loss_vfl: 0.800690 loss_bbox: 0.304420 loss_dfl: 0.188250 loss: 1.291997 eta: 11:50:21 batch_cost: 3.4376 data_cost: 0.0025 ips: 37.2354 images/s [10/17 09:35:44] ppdet.engine INFO: Epoch: [246] [100/229] learning_rate: 0.030646 loss_vfl: 0.802071 loss_bbox: 0.304067 loss_dfl: 0.191415 loss: 1.291519 eta: 11:49:11 batch_cost: 3.4336 data_cost: 0.0048 ips: 37.2791 images/s [10/17 09:36:57] ppdet.engine INFO: Epoch: [246] [120/229] learning_rate: 0.030549 loss_vfl: 0.811024 loss_bbox: 0.306127 loss_dfl: 0.200663 loss: 1.306262 eta: 11:48:02 batch_cost: 3.5046 data_cost: 0.0025 ips: 36.5235 images/s [10/17 09:38:08] ppdet.engine INFO: Epoch: [246] [140/229] learning_rate: 0.030452 loss_vfl: 0.817500 loss_bbox: 0.303087 loss_dfl: 0.194319 loss: 1.322081 eta: 11:46:52 batch_cost: 3.3936 data_cost: 0.0025 ips: 37.7183 images/s [10/17 09:39:20] ppdet.engine INFO: Epoch: [246] [160/229] learning_rate: 0.030355 loss_vfl: 0.798690 loss_bbox: 0.306407 loss_dfl: 0.192538 loss: 1.300408 eta: 11:45:43 batch_cost: 3.4510 data_cost: 0.0028 ips: 37.0911 images/s [10/17 09:40:31] ppdet.engine INFO: Epoch: [246] [180/229] learning_rate: 0.030258 loss_vfl: 0.803235 loss_bbox: 0.307728 loss_dfl: 0.197045 loss: 1.323136 eta: 11:44:33 batch_cost: 3.4101 data_cost: 0.0025 ips: 37.5360 images/s [10/17 09:41:43] ppdet.engine INFO: Epoch: [246] [200/229] learning_rate: 0.030161 loss_vfl: 0.805620 loss_bbox: 0.304579 loss_dfl: 0.187061 loss: 1.308881 eta: 11:43:24 batch_cost: 3.4458 data_cost: 0.0024 ips: 37.1466 images/s [10/17 09:42:50] ppdet.engine INFO: Epoch: [246] [220/229] learning_rate: 0.030065 loss_vfl: 0.804739 loss_bbox: 0.305541 loss_dfl: 0.189612 loss: 1.304237 eta: 11:42:13 batch_cost: 3.2256 data_cost: 0.0025 ips: 39.6831 images/s [10/17 09:43:45] ppdet.engine INFO: Epoch: [247] [ 0/229] learning_rate: 0.030021 loss_vfl: 0.811545 loss_bbox: 0.307894 loss_dfl: 0.191954 loss: 1.310071 eta: 11:41:46 batch_cost: 4.1667 data_cost: 0.5027 ips: 30.7195 images/s [10/17 09:44:58] ppdet.engine INFO: Epoch: [247] [ 20/229] learning_rate: 0.029925 loss_vfl: 0.811993 loss_bbox: 0.313994 loss_dfl: 0.199011 loss: 1.330618 eta: 11:40:37 batch_cost: 3.5076 data_cost: 0.0029 ips: 36.4920 images/s [10/17 09:46:10] ppdet.engine INFO: Epoch: [247] [ 40/229] learning_rate: 0.029829 loss_vfl: 0.811174 loss_bbox: 0.315867 loss_dfl: 0.199235 loss: 1.336750 eta: 11:39:27 batch_cost: 3.4728 data_cost: 0.0033 ips: 36.8583 images/s [10/17 09:47:20] ppdet.engine INFO: Epoch: [247] [ 60/229] learning_rate: 0.029733 loss_vfl: 0.792032 loss_bbox: 0.304428 loss_dfl: 0.194668 loss: 1.288454 eta: 11:38:17 batch_cost: 3.3514 data_cost: 0.0032 ips: 38.1925 images/s [10/17 09:48:32] ppdet.engine INFO: Epoch: [247] [ 80/229] learning_rate: 0.029637 loss_vfl: 0.813076 loss_bbox: 0.316029 loss_dfl: 0.190112 loss: 1.313600 eta: 11:37:08 batch_cost: 3.4453 data_cost: 0.0036 ips: 37.1521 images/s [10/17 09:49:45] ppdet.engine INFO: Epoch: [247] [100/229] learning_rate: 0.029541 loss_vfl: 0.791515 loss_bbox: 0.306177 loss_dfl: 0.191012 loss: 1.291561 eta: 11:35:59 batch_cost: 3.4868 data_cost: 0.0034 ips: 36.7102 images/s [10/17 09:50:56] ppdet.engine INFO: Epoch: [247] [120/229] learning_rate: 0.029446 loss_vfl: 0.797948 loss_bbox: 0.311265 loss_dfl: 0.189178 loss: 1.285514 eta: 11:34:49 batch_cost: 3.4240 data_cost: 0.0026 ips: 37.3831 images/s [10/17 09:52:06] ppdet.engine INFO: Epoch: [247] [140/229] learning_rate: 0.029350 loss_vfl: 0.798697 loss_bbox: 0.299533 loss_dfl: 0.184905 loss: 1.294223 eta: 11:33:39 batch_cost: 3.3392 data_cost: 0.0025 ips: 38.3320 images/s [10/17 09:53:19] ppdet.engine INFO: Epoch: [247] [160/229] learning_rate: 0.029255 loss_vfl: 0.804423 loss_bbox: 0.303740 loss_dfl: 0.184149 loss: 1.289782 eta: 11:32:30 batch_cost: 3.5169 data_cost: 0.0025 ips: 36.3952 images/s [10/17 09:54:30] ppdet.engine INFO: Epoch: [247] [180/229] learning_rate: 0.029160 loss_vfl: 0.803386 loss_bbox: 0.313892 loss_dfl: 0.197626 loss: 1.315188 eta: 11:31:20 batch_cost: 3.4049 data_cost: 0.0026 ips: 37.5929 images/s [10/17 09:55:43] ppdet.engine INFO: Epoch: [247] [200/229] learning_rate: 0.029065 loss_vfl: 0.810742 loss_bbox: 0.297028 loss_dfl: 0.188978 loss: 1.292657 eta: 11:30:11 batch_cost: 3.4590 data_cost: 0.0026 ips: 37.0050 images/s [10/17 09:56:51] ppdet.engine INFO: Epoch: [247] [220/229] learning_rate: 0.028970 loss_vfl: 0.800388 loss_bbox: 0.313814 loss_dfl: 0.192983 loss: 1.316749 eta: 11:29:01 batch_cost: 3.2626 data_cost: 0.0025 ips: 39.2330 images/s [10/17 09:57:46] ppdet.engine INFO: Epoch: [248] [ 0/229] learning_rate: 0.028927 loss_vfl: 0.795696 loss_bbox: 0.314183 loss_dfl: 0.197191 loss: 1.310019 eta: 11:28:34 batch_cost: 4.2328 data_cost: 0.7888 ips: 30.2400 images/s [10/17 09:59:00] ppdet.engine INFO: Epoch: [248] [ 20/229] learning_rate: 0.028832 loss_vfl: 0.798567 loss_bbox: 0.302709 loss_dfl: 0.198136 loss: 1.308053 eta: 11:27:24 batch_cost: 3.5251 data_cost: 0.0028 ips: 36.3110 images/s [10/17 10:00:11] ppdet.engine INFO: Epoch: [248] [ 40/229] learning_rate: 0.028738 loss_vfl: 0.793450 loss_bbox: 0.300657 loss_dfl: 0.188194 loss: 1.274367 eta: 11:26:15 batch_cost: 3.4202 data_cost: 0.0028 ips: 37.4250 images/s [10/17 10:01:20] ppdet.engine INFO: Epoch: [248] [ 60/229] learning_rate: 0.028644 loss_vfl: 0.800464 loss_bbox: 0.322055 loss_dfl: 0.192817 loss: 1.311805 eta: 11:25:05 batch_cost: 3.3111 data_cost: 0.0031 ips: 38.6575 images/s [10/17 10:02:30] ppdet.engine INFO: Epoch: [248] [ 80/229] learning_rate: 0.028549 loss_vfl: 0.798171 loss_bbox: 0.306841 loss_dfl: 0.189405 loss: 1.292196 eta: 11:23:55 batch_cost: 3.3339 data_cost: 0.0031 ips: 38.3938 images/s [10/17 10:03:42] ppdet.engine INFO: Epoch: [248] [100/229] learning_rate: 0.028455 loss_vfl: 0.786355 loss_bbox: 0.299641 loss_dfl: 0.186760 loss: 1.288000 eta: 11:22:45 batch_cost: 3.4263 data_cost: 0.0024 ips: 37.3581 images/s [10/17 10:04:53] ppdet.engine INFO: Epoch: [248] [120/229] learning_rate: 0.028361 loss_vfl: 0.792682 loss_bbox: 0.303289 loss_dfl: 0.189844 loss: 1.289498 eta: 11:21:36 batch_cost: 3.4275 data_cost: 0.0025 ips: 37.3445 images/s [10/17 10:06:05] ppdet.engine INFO: Epoch: [248] [140/229] learning_rate: 0.028267 loss_vfl: 0.807784 loss_bbox: 0.304169 loss_dfl: 0.195267 loss: 1.317955 eta: 11:20:26 batch_cost: 3.4515 data_cost: 0.0037 ips: 37.0852 images/s [10/17 10:07:17] ppdet.engine INFO: Epoch: [248] [160/229] learning_rate: 0.028174 loss_vfl: 0.808014 loss_bbox: 0.303750 loss_dfl: 0.192116 loss: 1.292175 eta: 11:19:17 batch_cost: 3.4489 data_cost: 0.0035 ips: 37.1129 images/s [10/17 10:08:29] ppdet.engine INFO: Epoch: [248] [180/229] learning_rate: 0.028080 loss_vfl: 0.814897 loss_bbox: 0.304467 loss_dfl: 0.189911 loss: 1.308000 eta: 11:18:07 batch_cost: 3.4289 data_cost: 0.0025 ips: 37.3297 images/s [10/17 10:09:40] ppdet.engine INFO: Epoch: [248] [200/229] learning_rate: 0.027987 loss_vfl: 0.803392 loss_bbox: 0.312056 loss_dfl: 0.194945 loss: 1.303459 eta: 11:16:58 batch_cost: 3.4021 data_cost: 0.0025 ips: 37.6236 images/s [10/17 10:10:48] ppdet.engine INFO: Epoch: [248] [220/229] learning_rate: 0.027894 loss_vfl: 0.804922 loss_bbox: 0.319948 loss_dfl: 0.196191 loss: 1.307512 eta: 11:15:47 batch_cost: 3.2627 data_cost: 0.0025 ips: 39.2315 images/s [10/17 10:11:40] ppdet.engine INFO: Epoch: [249] [ 0/229] learning_rate: 0.027852 loss_vfl: 0.805048 loss_bbox: 0.323964 loss_dfl: 0.198026 loss: 1.316445 eta: 11:15:19 batch_cost: 4.0600 data_cost: 0.2957 ips: 31.5271 images/s [10/17 10:12:53] ppdet.engine INFO: Epoch: [249] [ 20/229] learning_rate: 0.027759 loss_vfl: 0.801863 loss_bbox: 0.303615 loss_dfl: 0.189953 loss: 1.305123 eta: 11:14:10 batch_cost: 3.5172 data_cost: 0.0026 ips: 36.3931 images/s [10/17 10:14:06] ppdet.engine INFO: Epoch: [249] [ 40/229] learning_rate: 0.027666 loss_vfl: 0.799959 loss_bbox: 0.300881 loss_dfl: 0.196347 loss: 1.306929 eta: 11:13:01 batch_cost: 3.4880 data_cost: 0.0025 ips: 36.6968 images/s [10/17 10:15:17] ppdet.engine INFO: Epoch: [249] [ 60/229] learning_rate: 0.027573 loss_vfl: 0.810202 loss_bbox: 0.296297 loss_dfl: 0.192655 loss: 1.292619 eta: 11:11:51 batch_cost: 3.4051 data_cost: 0.0024 ips: 37.5910 images/s [10/17 10:16:28] ppdet.engine INFO: Epoch: [249] [ 80/229] learning_rate: 0.027480 loss_vfl: 0.802061 loss_bbox: 0.304441 loss_dfl: 0.194406 loss: 1.294348 eta: 11:10:41 batch_cost: 3.4100 data_cost: 0.0026 ips: 37.5368 images/s [10/17 10:17:39] ppdet.engine INFO: Epoch: [249] [100/229] learning_rate: 0.027388 loss_vfl: 0.809354 loss_bbox: 0.301441 loss_dfl: 0.193376 loss: 1.289440 eta: 11:09:32 batch_cost: 3.4040 data_cost: 0.0024 ips: 37.6024 images/s [10/17 10:18:50] ppdet.engine INFO: Epoch: [249] [120/229] learning_rate: 0.027296 loss_vfl: 0.807203 loss_bbox: 0.305564 loss_dfl: 0.193846 loss: 1.312639 eta: 11:08:22 batch_cost: 3.4115 data_cost: 0.0035 ips: 37.5201 images/s [10/17 10:20:01] ppdet.engine INFO: Epoch: [249] [140/229] learning_rate: 0.027203 loss_vfl: 0.799177 loss_bbox: 0.295421 loss_dfl: 0.191086 loss: 1.282738 eta: 11:07:12 batch_cost: 3.3618 data_cost: 0.0023 ips: 38.0753 images/s [10/17 10:21:11] ppdet.engine INFO: Epoch: [249] [160/229] learning_rate: 0.027111 loss_vfl: 0.800671 loss_bbox: 0.310427 loss_dfl: 0.197026 loss: 1.292437 eta: 11:06:03 batch_cost: 3.3912 data_cost: 0.0026 ips: 37.7450 images/s [10/17 10:22:24] ppdet.engine INFO: Epoch: [249] [180/229] learning_rate: 0.027019 loss_vfl: 0.803938 loss_bbox: 0.324352 loss_dfl: 0.196109 loss: 1.319412 eta: 11:04:53 batch_cost: 3.4681 data_cost: 0.0024 ips: 36.9075 images/s [10/17 10:23:35] ppdet.engine INFO: Epoch: [249] [200/229] learning_rate: 0.026928 loss_vfl: 0.805108 loss_bbox: 0.311555 loss_dfl: 0.193957 loss: 1.309773 eta: 11:03:44 batch_cost: 3.4147 data_cost: 0.0024 ips: 37.4850 images/s [10/17 10:24:42] ppdet.engine INFO: Epoch: [249] [220/229] learning_rate: 0.026836 loss_vfl: 0.813937 loss_bbox: 0.306797 loss_dfl: 0.192430 loss: 1.322167 eta: 11:02:33 batch_cost: 3.1950 data_cost: 0.0024 ips: 40.0627 images/s [10/17 10:25:10] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 10:25:10] ppdet.engine INFO: Eval iter: 0 [10/17 10:25:51] ppdet.engine INFO: Eval iter: 100 [10/17 10:26:13] ppdet.engine INFO: Eval iter: 200 [10/17 10:26:35] ppdet.engine INFO: Eval iter: 300 [10/17 10:26:57] ppdet.engine INFO: Eval iter: 400 [10/17 10:27:19] ppdet.engine INFO: Eval iter: 500 [10/17 10:27:40] ppdet.engine INFO: Eval iter: 600 [10/17 10:28:01] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.64s) creating index... index created! [10/17 10:28:02] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.68s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=96.44s). Accumulating evaluation results... DONE (t=16.63s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.270 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.412 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.280 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.078 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.268 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.473 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 ] = 0.395 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 ] = 0.140 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.470 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.683 [10/17 10:30:01] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.643751596803458 [10/17 10:30:01] ppdet.engine INFO: Best test bbox ap is 0.271. [10/17 10:30:05] ppdet.engine INFO: Epoch: [250] [ 0/229] learning_rate: 0.026795 loss_vfl: 0.808643 loss_bbox: 0.313187 loss_dfl: 0.191489 loss: 1.315421 eta: 11:02:01 batch_cost: 3.0152 data_cost: 0.0024 ips: 42.4510 images/s [10/17 10:31:16] ppdet.engine INFO: Epoch: [250] [ 20/229] learning_rate: 0.026704 loss_vfl: 0.805047 loss_bbox: 0.296717 loss_dfl: 0.188128 loss: 1.302618 eta: 11:00:51 batch_cost: 3.4182 data_cost: 0.0028 ips: 37.4466 images/s [10/17 10:32:28] ppdet.engine INFO: Epoch: [250] [ 40/229] learning_rate: 0.026612 loss_vfl: 0.796951 loss_bbox: 0.298314 loss_dfl: 0.188454 loss: 1.284376 eta: 10:59:42 batch_cost: 3.4676 data_cost: 0.0026 ips: 36.9131 images/s [10/17 10:33:40] ppdet.engine INFO: Epoch: [250] [ 60/229] learning_rate: 0.026521 loss_vfl: 0.807087 loss_bbox: 0.313371 loss_dfl: 0.190687 loss: 1.311039 eta: 10:58:32 batch_cost: 3.4264 data_cost: 0.0025 ips: 37.3566 images/s [10/17 10:34:51] ppdet.engine INFO: Epoch: [250] [ 80/229] learning_rate: 0.026430 loss_vfl: 0.808916 loss_bbox: 0.307680 loss_dfl: 0.193493 loss: 1.312533 eta: 10:57:23 batch_cost: 3.4134 data_cost: 0.0035 ips: 37.4992 images/s [10/17 10:36:02] ppdet.engine INFO: Epoch: [250] [100/229] learning_rate: 0.026339 loss_vfl: 0.808829 loss_bbox: 0.311371 loss_dfl: 0.193496 loss: 1.315573 eta: 10:56:13 batch_cost: 3.3984 data_cost: 0.0039 ips: 37.6644 images/s [10/17 10:37:13] ppdet.engine INFO: Epoch: [250] [120/229] learning_rate: 0.026249 loss_vfl: 0.803892 loss_bbox: 0.304145 loss_dfl: 0.192655 loss: 1.304251 eta: 10:55:03 batch_cost: 3.3897 data_cost: 0.0025 ips: 37.7610 images/s [10/17 10:38:24] ppdet.engine INFO: Epoch: [250] [140/229] learning_rate: 0.026158 loss_vfl: 0.820104 loss_bbox: 0.299000 loss_dfl: 0.196317 loss: 1.303524 eta: 10:53:54 batch_cost: 3.4034 data_cost: 0.0025 ips: 37.6096 images/s [10/17 10:39:36] ppdet.engine INFO: Epoch: [250] [160/229] learning_rate: 0.026068 loss_vfl: 0.793711 loss_bbox: 0.301048 loss_dfl: 0.189689 loss: 1.288576 eta: 10:52:45 batch_cost: 3.4810 data_cost: 0.0026 ips: 36.7708 images/s [10/17 10:40:50] ppdet.engine INFO: Epoch: [250] [180/229] learning_rate: 0.025978 loss_vfl: 0.812015 loss_bbox: 0.314041 loss_dfl: 0.198148 loss: 1.318926 eta: 10:51:35 batch_cost: 3.5092 data_cost: 0.0031 ips: 36.4759 images/s [10/17 10:41:59] ppdet.engine INFO: Epoch: [250] [200/229] learning_rate: 0.025888 loss_vfl: 0.805610 loss_bbox: 0.320278 loss_dfl: 0.197576 loss: 1.311429 eta: 10:50:25 batch_cost: 3.3444 data_cost: 0.0024 ips: 38.2725 images/s [10/17 10:43:07] ppdet.engine INFO: Epoch: [250] [220/229] learning_rate: 0.025798 loss_vfl: 0.801931 loss_bbox: 0.320475 loss_dfl: 0.194945 loss: 1.324997 eta: 10:49:15 batch_cost: 3.2482 data_cost: 0.0024 ips: 39.4064 images/s [10/17 10:44:03] ppdet.engine INFO: Epoch: [251] [ 0/229] learning_rate: 0.025757 loss_vfl: 0.804364 loss_bbox: 0.318702 loss_dfl: 0.197352 loss: 1.327379 eta: 10:48:48 batch_cost: 4.2741 data_cost: 0.6749 ips: 29.9475 images/s [10/17 10:45:17] ppdet.engine INFO: Epoch: [251] [ 20/229] learning_rate: 0.025668 loss_vfl: 0.802662 loss_bbox: 0.305663 loss_dfl: 0.191766 loss: 1.293665 eta: 10:47:39 batch_cost: 3.5576 data_cost: 0.0027 ips: 35.9795 images/s [10/17 10:46:30] ppdet.engine INFO: Epoch: [251] [ 40/229] learning_rate: 0.025578 loss_vfl: 0.796153 loss_bbox: 0.302740 loss_dfl: 0.190264 loss: 1.305636 eta: 10:46:30 batch_cost: 3.5116 data_cost: 0.0027 ips: 36.4502 images/s [10/17 10:47:44] ppdet.engine INFO: Epoch: [251] [ 60/229] learning_rate: 0.025489 loss_vfl: 0.797706 loss_bbox: 0.306745 loss_dfl: 0.187601 loss: 1.297620 eta: 10:45:21 batch_cost: 3.5674 data_cost: 0.0027 ips: 35.8804 images/s [10/17 10:48:58] ppdet.engine INFO: Epoch: [251] [ 80/229] learning_rate: 0.025399 loss_vfl: 0.810419 loss_bbox: 0.322135 loss_dfl: 0.194969 loss: 1.329018 eta: 10:44:11 batch_cost: 3.5459 data_cost: 0.0025 ips: 36.0978 images/s [10/17 10:50:11] ppdet.engine INFO: Epoch: [251] [100/229] learning_rate: 0.025310 loss_vfl: 0.795007 loss_bbox: 0.305462 loss_dfl: 0.191861 loss: 1.292531 eta: 10:43:02 batch_cost: 3.4911 data_cost: 0.0025 ips: 36.6648 images/s [10/17 10:51:25] ppdet.engine INFO: Epoch: [251] [120/229] learning_rate: 0.025221 loss_vfl: 0.794263 loss_bbox: 0.311064 loss_dfl: 0.192374 loss: 1.297822 eta: 10:41:53 batch_cost: 3.5160 data_cost: 0.0026 ips: 36.4051 images/s [10/17 10:52:38] ppdet.engine INFO: Epoch: [251] [140/229] learning_rate: 0.025132 loss_vfl: 0.791648 loss_bbox: 0.313645 loss_dfl: 0.195324 loss: 1.290421 eta: 10:40:44 batch_cost: 3.5067 data_cost: 0.0024 ips: 36.5013 images/s [10/17 10:53:51] ppdet.engine INFO: Epoch: [251] [160/229] learning_rate: 0.025044 loss_vfl: 0.807480 loss_bbox: 0.316006 loss_dfl: 0.198199 loss: 1.320952 eta: 10:39:34 batch_cost: 3.4907 data_cost: 0.0026 ips: 36.6691 images/s [10/17 10:55:03] ppdet.engine INFO: Epoch: [251] [180/229] learning_rate: 0.024955 loss_vfl: 0.807711 loss_bbox: 0.310567 loss_dfl: 0.198775 loss: 1.325164 eta: 10:38:25 batch_cost: 3.4480 data_cost: 0.0024 ips: 37.1229 images/s [10/17 10:56:14] ppdet.engine INFO: Epoch: [251] [200/229] learning_rate: 0.024867 loss_vfl: 0.807924 loss_bbox: 0.302584 loss_dfl: 0.193118 loss: 1.302184 eta: 10:37:15 batch_cost: 3.4039 data_cost: 0.0026 ips: 37.6040 images/s [10/17 10:57:24] ppdet.engine INFO: Epoch: [251] [220/229] learning_rate: 0.024778 loss_vfl: 0.806832 loss_bbox: 0.312165 loss_dfl: 0.201149 loss: 1.321884 eta: 10:36:06 batch_cost: 3.3811 data_cost: 0.0026 ips: 37.8572 images/s [10/17 10:58:20] ppdet.engine INFO: Epoch: [252] [ 0/229] learning_rate: 0.024739 loss_vfl: 0.800645 loss_bbox: 0.306465 loss_dfl: 0.199228 loss: 1.308874 eta: 10:35:38 batch_cost: 4.2927 data_cost: 0.5486 ips: 29.8178 images/s [10/17 10:59:33] ppdet.engine INFO: Epoch: [252] [ 20/229] learning_rate: 0.024651 loss_vfl: 0.805823 loss_bbox: 0.300718 loss_dfl: 0.195555 loss: 1.300157 eta: 10:34:29 batch_cost: 3.5345 data_cost: 0.0037 ips: 36.2146 images/s [10/17 11:00:45] ppdet.engine INFO: Epoch: [252] [ 40/229] learning_rate: 0.024563 loss_vfl: 0.815742 loss_bbox: 0.308010 loss_dfl: 0.190174 loss: 1.307469 eta: 10:33:19 batch_cost: 3.4386 data_cost: 0.0041 ips: 37.2242 images/s [10/17 11:01:57] ppdet.engine INFO: Epoch: [252] [ 60/229] learning_rate: 0.024475 loss_vfl: 0.796674 loss_bbox: 0.307000 loss_dfl: 0.193883 loss: 1.292811 eta: 10:32:10 batch_cost: 3.4510 data_cost: 0.0046 ips: 37.0905 images/s [10/17 11:03:11] ppdet.engine INFO: Epoch: [252] [ 80/229] learning_rate: 0.024387 loss_vfl: 0.806599 loss_bbox: 0.307179 loss_dfl: 0.194167 loss: 1.314465 eta: 10:31:01 batch_cost: 3.5221 data_cost: 0.0034 ips: 36.3418 images/s [10/17 11:04:23] ppdet.engine INFO: Epoch: [252] [100/229] learning_rate: 0.024300 loss_vfl: 0.804838 loss_bbox: 0.313112 loss_dfl: 0.196319 loss: 1.321579 eta: 10:29:51 batch_cost: 3.4353 data_cost: 0.0031 ips: 37.2598 images/s [10/17 11:05:36] ppdet.engine INFO: Epoch: [252] [120/229] learning_rate: 0.024213 loss_vfl: 0.809435 loss_bbox: 0.312186 loss_dfl: 0.195210 loss: 1.312762 eta: 10:28:42 batch_cost: 3.5295 data_cost: 0.0036 ips: 36.2658 images/s [10/17 11:06:49] ppdet.engine INFO: Epoch: [252] [140/229] learning_rate: 0.024125 loss_vfl: 0.792203 loss_bbox: 0.309349 loss_dfl: 0.193663 loss: 1.289085 eta: 10:27:33 batch_cost: 3.4713 data_cost: 0.0046 ips: 36.8740 images/s [10/17 11:08:01] ppdet.engine INFO: Epoch: [252] [160/229] learning_rate: 0.024038 loss_vfl: 0.802080 loss_bbox: 0.294650 loss_dfl: 0.188762 loss: 1.304885 eta: 10:26:23 batch_cost: 3.4711 data_cost: 0.0033 ips: 36.8760 images/s [10/17 11:09:12] ppdet.engine INFO: Epoch: [252] [180/229] learning_rate: 0.023952 loss_vfl: 0.807286 loss_bbox: 0.303733 loss_dfl: 0.191540 loss: 1.300751 eta: 10:25:13 batch_cost: 3.3698 data_cost: 0.0029 ips: 37.9845 images/s [10/17 11:10:21] ppdet.engine INFO: Epoch: [252] [200/229] learning_rate: 0.023865 loss_vfl: 0.812979 loss_bbox: 0.307480 loss_dfl: 0.195561 loss: 1.321699 eta: 10:24:03 batch_cost: 3.3311 data_cost: 0.0024 ips: 38.4263 images/s [10/17 11:11:28] ppdet.engine INFO: Epoch: [252] [220/229] learning_rate: 0.023778 loss_vfl: 0.804466 loss_bbox: 0.315373 loss_dfl: 0.196912 loss: 1.315519 eta: 10:22:53 batch_cost: 3.1983 data_cost: 0.0024 ips: 40.0210 images/s [10/17 11:12:15] ppdet.engine INFO: Epoch: [253] [ 0/229] learning_rate: 0.023739 loss_vfl: 0.802644 loss_bbox: 0.322367 loss_dfl: 0.195782 loss: 1.316924 eta: 10:22:24 batch_cost: 3.8438 data_cost: 0.3820 ips: 33.3008 images/s [10/17 11:13:32] ppdet.engine INFO: Epoch: [253] [ 20/229] learning_rate: 0.023653 loss_vfl: 0.809864 loss_bbox: 0.311389 loss_dfl: 0.196739 loss: 1.299902 eta: 10:21:15 batch_cost: 3.6643 data_cost: 0.0026 ips: 34.9313 images/s [10/17 11:14:43] ppdet.engine INFO: Epoch: [253] [ 40/229] learning_rate: 0.023567 loss_vfl: 0.794189 loss_bbox: 0.305043 loss_dfl: 0.194510 loss: 1.301665 eta: 10:20:06 batch_cost: 3.3883 data_cost: 0.0029 ips: 37.7776 images/s [10/17 11:15:55] ppdet.engine INFO: Epoch: [253] [ 60/229] learning_rate: 0.023481 loss_vfl: 0.798295 loss_bbox: 0.307349 loss_dfl: 0.196671 loss: 1.304112 eta: 10:18:56 batch_cost: 3.4707 data_cost: 0.0033 ips: 36.8805 images/s [10/17 11:17:08] ppdet.engine INFO: Epoch: [253] [ 80/229] learning_rate: 0.023395 loss_vfl: 0.794533 loss_bbox: 0.309209 loss_dfl: 0.195170 loss: 1.303928 eta: 10:17:47 batch_cost: 3.4777 data_cost: 0.0027 ips: 36.8063 images/s [10/17 11:18:20] ppdet.engine INFO: Epoch: [253] [100/229] learning_rate: 0.023309 loss_vfl: 0.802969 loss_bbox: 0.321798 loss_dfl: 0.205607 loss: 1.333650 eta: 10:16:37 batch_cost: 3.4614 data_cost: 0.0025 ips: 36.9789 images/s [10/17 11:19:31] ppdet.engine INFO: Epoch: [253] [120/229] learning_rate: 0.023223 loss_vfl: 0.797122 loss_bbox: 0.310967 loss_dfl: 0.196227 loss: 1.312648 eta: 10:15:28 batch_cost: 3.4237 data_cost: 0.0024 ips: 37.3870 images/s [10/17 11:20:41] ppdet.engine INFO: Epoch: [253] [140/229] learning_rate: 0.023138 loss_vfl: 0.789317 loss_bbox: 0.302572 loss_dfl: 0.190557 loss: 1.277468 eta: 10:14:18 batch_cost: 3.3341 data_cost: 0.0026 ips: 38.3916 images/s [10/17 11:21:54] ppdet.engine INFO: Epoch: [253] [160/229] learning_rate: 0.023053 loss_vfl: 0.800075 loss_bbox: 0.310112 loss_dfl: 0.188913 loss: 1.288550 eta: 10:13:09 batch_cost: 3.4702 data_cost: 0.0026 ips: 36.8857 images/s [10/17 11:23:06] ppdet.engine INFO: Epoch: [253] [180/229] learning_rate: 0.022967 loss_vfl: 0.799262 loss_bbox: 0.289721 loss_dfl: 0.185441 loss: 1.264073 eta: 10:11:59 batch_cost: 3.4402 data_cost: 0.0030 ips: 37.2075 images/s [10/17 11:24:17] ppdet.engine INFO: Epoch: [253] [200/229] learning_rate: 0.022882 loss_vfl: 0.795795 loss_bbox: 0.309369 loss_dfl: 0.189909 loss: 1.292588 eta: 10:10:49 batch_cost: 3.4048 data_cost: 0.0025 ips: 37.5939 images/s [10/17 11:25:25] ppdet.engine INFO: Epoch: [253] [220/229] learning_rate: 0.022797 loss_vfl: 0.813073 loss_bbox: 0.297782 loss_dfl: 0.194621 loss: 1.305302 eta: 10:09:39 batch_cost: 3.2796 data_cost: 0.0031 ips: 39.0291 images/s [10/17 11:26:20] ppdet.engine INFO: Epoch: [254] [ 0/229] learning_rate: 0.022759 loss_vfl: 0.812194 loss_bbox: 0.312764 loss_dfl: 0.194621 loss: 1.311233 eta: 10:09:11 batch_cost: 4.2113 data_cost: 0.7505 ips: 30.3941 images/s [10/17 11:27:33] ppdet.engine INFO: Epoch: [254] [ 20/229] learning_rate: 0.022675 loss_vfl: 0.808201 loss_bbox: 0.308380 loss_dfl: 0.195166 loss: 1.294894 eta: 10:08:02 batch_cost: 3.5171 data_cost: 0.0027 ips: 36.3941 images/s [10/17 11:28:46] ppdet.engine INFO: Epoch: [254] [ 40/229] learning_rate: 0.022590 loss_vfl: 0.793079 loss_bbox: 0.305862 loss_dfl: 0.193402 loss: 1.311416 eta: 10:06:53 batch_cost: 3.5106 data_cost: 0.0026 ips: 36.4612 images/s [10/17 11:29:59] ppdet.engine INFO: Epoch: [254] [ 60/229] learning_rate: 0.022506 loss_vfl: 0.807551 loss_bbox: 0.321166 loss_dfl: 0.198882 loss: 1.318329 eta: 10:05:44 batch_cost: 3.5140 data_cost: 0.0026 ips: 36.4257 images/s [10/17 11:31:12] ppdet.engine INFO: Epoch: [254] [ 80/229] learning_rate: 0.022421 loss_vfl: 0.798523 loss_bbox: 0.294893 loss_dfl: 0.191629 loss: 1.286271 eta: 10:04:34 batch_cost: 3.5006 data_cost: 0.0026 ips: 36.5647 images/s [10/17 11:32:24] ppdet.engine INFO: Epoch: [254] [100/229] learning_rate: 0.022337 loss_vfl: 0.799034 loss_bbox: 0.316748 loss_dfl: 0.195973 loss: 1.320527 eta: 10:03:25 batch_cost: 3.4531 data_cost: 0.0025 ips: 37.0678 images/s [10/17 11:33:36] ppdet.engine INFO: Epoch: [254] [120/229] learning_rate: 0.022253 loss_vfl: 0.797391 loss_bbox: 0.303861 loss_dfl: 0.192496 loss: 1.282417 eta: 10:02:15 batch_cost: 3.4177 data_cost: 0.0024 ips: 37.4516 images/s [10/17 11:34:48] ppdet.engine INFO: Epoch: [254] [140/229] learning_rate: 0.022170 loss_vfl: 0.797987 loss_bbox: 0.312132 loss_dfl: 0.194464 loss: 1.297573 eta: 10:01:06 batch_cost: 3.4450 data_cost: 0.0024 ips: 37.1551 images/s [10/17 11:36:00] ppdet.engine INFO: Epoch: [254] [160/229] learning_rate: 0.022086 loss_vfl: 0.811204 loss_bbox: 0.304600 loss_dfl: 0.194268 loss: 1.316223 eta: 9:59:57 batch_cost: 3.4890 data_cost: 0.0026 ips: 36.6866 images/s [10/17 11:37:11] ppdet.engine INFO: Epoch: [254] [180/229] learning_rate: 0.022003 loss_vfl: 0.793534 loss_bbox: 0.325336 loss_dfl: 0.196164 loss: 1.308269 eta: 9:58:47 batch_cost: 3.3886 data_cost: 0.0025 ips: 37.7735 images/s [10/17 11:38:23] ppdet.engine INFO: Epoch: [254] [200/229] learning_rate: 0.021919 loss_vfl: 0.807271 loss_bbox: 0.308950 loss_dfl: 0.197433 loss: 1.318197 eta: 9:57:38 batch_cost: 3.4689 data_cost: 0.0026 ips: 36.8994 images/s [10/17 11:39:32] ppdet.engine INFO: Epoch: [254] [220/229] learning_rate: 0.021836 loss_vfl: 0.794839 loss_bbox: 0.304547 loss_dfl: 0.190499 loss: 1.299989 eta: 9:56:27 batch_cost: 3.2806 data_cost: 0.0025 ips: 39.0178 images/s [10/17 11:40:25] ppdet.engine INFO: Epoch: [255] [ 0/229] learning_rate: 0.021799 loss_vfl: 0.798879 loss_bbox: 0.296799 loss_dfl: 0.186697 loss: 1.275533 eta: 9:55:59 batch_cost: 4.1490 data_cost: 0.4290 ips: 30.8508 images/s [10/17 11:41:41] ppdet.engine INFO: Epoch: [255] [ 20/229] learning_rate: 0.021716 loss_vfl: 0.803687 loss_bbox: 0.303676 loss_dfl: 0.186485 loss: 1.279055 eta: 9:54:50 batch_cost: 3.6509 data_cost: 0.0025 ips: 35.0600 images/s [10/17 11:42:54] ppdet.engine INFO: Epoch: [255] [ 40/229] learning_rate: 0.021633 loss_vfl: 0.804280 loss_bbox: 0.311119 loss_dfl: 0.194689 loss: 1.309154 eta: 9:53:41 batch_cost: 3.4959 data_cost: 0.0032 ips: 36.6148 images/s [10/17 11:44:06] ppdet.engine INFO: Epoch: [255] [ 60/229] learning_rate: 0.021550 loss_vfl: 0.801345 loss_bbox: 0.312323 loss_dfl: 0.196509 loss: 1.320194 eta: 9:52:32 batch_cost: 3.4624 data_cost: 0.0026 ips: 36.9689 images/s [10/17 11:45:19] ppdet.engine INFO: Epoch: [255] [ 80/229] learning_rate: 0.021468 loss_vfl: 0.799538 loss_bbox: 0.315244 loss_dfl: 0.195367 loss: 1.309622 eta: 9:51:22 batch_cost: 3.5172 data_cost: 0.0032 ips: 36.3921 images/s [10/17 11:46:32] ppdet.engine INFO: Epoch: [255] [100/229] learning_rate: 0.021385 loss_vfl: 0.793790 loss_bbox: 0.309680 loss_dfl: 0.187574 loss: 1.291614 eta: 9:50:13 batch_cost: 3.4648 data_cost: 0.0025 ips: 36.9434 images/s [10/17 11:47:43] ppdet.engine INFO: Epoch: [255] [120/229] learning_rate: 0.021303 loss_vfl: 0.803203 loss_bbox: 0.312189 loss_dfl: 0.200695 loss: 1.321185 eta: 9:49:03 batch_cost: 3.4342 data_cost: 0.0024 ips: 37.2718 images/s [10/17 11:48:55] ppdet.engine INFO: Epoch: [255] [140/229] learning_rate: 0.021221 loss_vfl: 0.802212 loss_bbox: 0.308684 loss_dfl: 0.194267 loss: 1.294199 eta: 9:47:54 batch_cost: 3.4234 data_cost: 0.0030 ips: 37.3897 images/s [10/17 11:50:06] ppdet.engine INFO: Epoch: [255] [160/229] learning_rate: 0.021139 loss_vfl: 0.793659 loss_bbox: 0.305689 loss_dfl: 0.187883 loss: 1.298445 eta: 9:46:44 batch_cost: 3.3941 data_cost: 0.0023 ips: 37.7120 images/s [10/17 11:51:15] ppdet.engine INFO: Epoch: [255] [180/229] learning_rate: 0.021057 loss_vfl: 0.786444 loss_bbox: 0.307514 loss_dfl: 0.193922 loss: 1.282785 eta: 9:45:34 batch_cost: 3.3099 data_cost: 0.0024 ips: 38.6720 images/s [10/17 11:52:25] ppdet.engine INFO: Epoch: [255] [200/229] learning_rate: 0.020976 loss_vfl: 0.806388 loss_bbox: 0.292146 loss_dfl: 0.182441 loss: 1.280447 eta: 9:44:25 batch_cost: 3.3941 data_cost: 0.0024 ips: 37.7124 images/s [10/17 11:53:32] ppdet.engine INFO: Epoch: [255] [220/229] learning_rate: 0.020894 loss_vfl: 0.804319 loss_bbox: 0.302283 loss_dfl: 0.196600 loss: 1.303384 eta: 9:43:14 batch_cost: 3.1606 data_cost: 0.0023 ips: 40.4986 images/s [10/17 11:54:27] ppdet.engine INFO: Epoch: [256] [ 0/229] learning_rate: 0.020858 loss_vfl: 0.805455 loss_bbox: 0.299275 loss_dfl: 0.195231 loss: 1.299947 eta: 9:42:46 batch_cost: 4.1996 data_cost: 0.3025 ips: 30.4790 images/s [10/17 11:55:40] ppdet.engine INFO: Epoch: [256] [ 20/229] learning_rate: 0.020776 loss_vfl: 0.798004 loss_bbox: 0.306932 loss_dfl: 0.200502 loss: 1.322600 eta: 9:41:37 batch_cost: 3.5235 data_cost: 0.0026 ips: 36.3278 images/s [10/17 11:56:53] ppdet.engine INFO: Epoch: [256] [ 40/229] learning_rate: 0.020695 loss_vfl: 0.805160 loss_bbox: 0.315153 loss_dfl: 0.193462 loss: 1.299552 eta: 9:40:28 batch_cost: 3.5091 data_cost: 0.0025 ips: 36.4764 images/s [10/17 11:58:05] ppdet.engine INFO: Epoch: [256] [ 60/229] learning_rate: 0.020614 loss_vfl: 0.790796 loss_bbox: 0.309822 loss_dfl: 0.190216 loss: 1.296739 eta: 9:39:18 batch_cost: 3.4576 data_cost: 0.0024 ips: 37.0199 images/s [10/17 11:59:15] ppdet.engine INFO: Epoch: [256] [ 80/229] learning_rate: 0.020534 loss_vfl: 0.789630 loss_bbox: 0.301006 loss_dfl: 0.190663 loss: 1.283538 eta: 9:38:08 batch_cost: 3.3528 data_cost: 0.0029 ips: 38.1770 images/s [10/17 12:00:26] ppdet.engine INFO: Epoch: [256] [100/229] learning_rate: 0.020453 loss_vfl: 0.788632 loss_bbox: 0.322822 loss_dfl: 0.199448 loss: 1.312438 eta: 9:36:59 batch_cost: 3.3867 data_cost: 0.0025 ips: 37.7954 images/s [10/17 12:01:37] ppdet.engine INFO: Epoch: [256] [120/229] learning_rate: 0.020372 loss_vfl: 0.801370 loss_bbox: 0.306511 loss_dfl: 0.192817 loss: 1.302886 eta: 9:35:49 batch_cost: 3.3950 data_cost: 0.0024 ips: 37.7027 images/s [10/17 12:02:47] ppdet.engine INFO: Epoch: [256] [140/229] learning_rate: 0.020292 loss_vfl: 0.811005 loss_bbox: 0.309800 loss_dfl: 0.194897 loss: 1.322486 eta: 9:34:39 batch_cost: 3.3535 data_cost: 0.0024 ips: 38.1686 images/s [10/17 12:03:57] ppdet.engine INFO: Epoch: [256] [160/229] learning_rate: 0.020212 loss_vfl: 0.793243 loss_bbox: 0.306617 loss_dfl: 0.193116 loss: 1.301715 eta: 9:33:29 batch_cost: 3.3251 data_cost: 0.0024 ips: 38.4953 images/s [10/17 12:05:06] ppdet.engine INFO: Epoch: [256] [180/229] learning_rate: 0.020132 loss_vfl: 0.784983 loss_bbox: 0.317335 loss_dfl: 0.198170 loss: 1.297491 eta: 9:32:19 batch_cost: 3.3256 data_cost: 0.0025 ips: 38.4893 images/s [10/17 12:06:17] ppdet.engine INFO: Epoch: [256] [200/229] learning_rate: 0.020052 loss_vfl: 0.791450 loss_bbox: 0.304669 loss_dfl: 0.193349 loss: 1.292610 eta: 9:31:10 batch_cost: 3.3753 data_cost: 0.0026 ips: 37.9229 images/s [10/17 12:07:23] ppdet.engine INFO: Epoch: [256] [220/229] learning_rate: 0.019972 loss_vfl: 0.800441 loss_bbox: 0.314276 loss_dfl: 0.199245 loss: 1.314413 eta: 9:29:59 batch_cost: 3.1583 data_cost: 0.0030 ips: 40.5284 images/s [10/17 12:08:16] ppdet.engine INFO: Epoch: [257] [ 0/229] learning_rate: 0.019936 loss_vfl: 0.793913 loss_bbox: 0.316328 loss_dfl: 0.195238 loss: 1.302703 eta: 9:29:31 batch_cost: 4.0482 data_cost: 0.5894 ips: 31.6187 images/s [10/17 12:09:29] ppdet.engine INFO: Epoch: [257] [ 20/229] learning_rate: 0.019857 loss_vfl: 0.792612 loss_bbox: 0.303464 loss_dfl: 0.192779 loss: 1.289090 eta: 9:28:22 batch_cost: 3.5145 data_cost: 0.0029 ips: 36.4201 images/s [10/17 12:10:41] ppdet.engine INFO: Epoch: [257] [ 40/229] learning_rate: 0.019777 loss_vfl: 0.796481 loss_bbox: 0.311208 loss_dfl: 0.196439 loss: 1.297215 eta: 9:27:12 batch_cost: 3.4666 data_cost: 0.0026 ips: 36.9243 images/s [10/17 12:11:53] ppdet.engine INFO: Epoch: [257] [ 60/229] learning_rate: 0.019698 loss_vfl: 0.805632 loss_bbox: 0.300458 loss_dfl: 0.186013 loss: 1.288758 eta: 9:26:03 batch_cost: 3.4352 data_cost: 0.0025 ips: 37.2616 images/s [10/17 12:13:04] ppdet.engine INFO: Epoch: [257] [ 80/229] learning_rate: 0.019619 loss_vfl: 0.788594 loss_bbox: 0.309712 loss_dfl: 0.192471 loss: 1.286915 eta: 9:24:53 batch_cost: 3.3891 data_cost: 0.0024 ips: 37.7681 images/s [10/17 12:14:14] ppdet.engine INFO: Epoch: [257] [100/229] learning_rate: 0.019540 loss_vfl: 0.791353 loss_bbox: 0.300009 loss_dfl: 0.190016 loss: 1.290228 eta: 9:23:43 batch_cost: 3.3772 data_cost: 0.0025 ips: 37.9011 images/s [10/17 12:15:26] ppdet.engine INFO: Epoch: [257] [120/229] learning_rate: 0.019461 loss_vfl: 0.797030 loss_bbox: 0.308574 loss_dfl: 0.195587 loss: 1.310701 eta: 9:22:34 batch_cost: 3.4206 data_cost: 0.0025 ips: 37.4201 images/s [10/17 12:16:36] ppdet.engine INFO: Epoch: [257] [140/229] learning_rate: 0.019383 loss_vfl: 0.802290 loss_bbox: 0.294394 loss_dfl: 0.187649 loss: 1.288209 eta: 9:21:24 batch_cost: 3.3729 data_cost: 0.0026 ips: 37.9500 images/s [10/17 12:17:47] ppdet.engine INFO: Epoch: [257] [160/229] learning_rate: 0.019304 loss_vfl: 0.797584 loss_bbox: 0.312593 loss_dfl: 0.198004 loss: 1.297982 eta: 9:20:14 batch_cost: 3.4104 data_cost: 0.0026 ips: 37.5320 images/s [10/17 12:18:58] ppdet.engine INFO: Epoch: [257] [180/229] learning_rate: 0.019226 loss_vfl: 0.797752 loss_bbox: 0.306237 loss_dfl: 0.196775 loss: 1.310143 eta: 9:19:05 batch_cost: 3.4006 data_cost: 0.0026 ips: 37.6405 images/s [10/17 12:20:10] ppdet.engine INFO: Epoch: [257] [200/229] learning_rate: 0.019148 loss_vfl: 0.802736 loss_bbox: 0.300156 loss_dfl: 0.191809 loss: 1.303000 eta: 9:17:55 batch_cost: 3.4285 data_cost: 0.0024 ips: 37.3344 images/s [10/17 12:21:17] ppdet.engine INFO: Epoch: [257] [220/229] learning_rate: 0.019070 loss_vfl: 0.797990 loss_bbox: 0.319407 loss_dfl: 0.199256 loss: 1.308928 eta: 9:16:45 batch_cost: 3.2196 data_cost: 0.0024 ips: 39.7559 images/s [10/17 12:22:10] ppdet.engine INFO: Epoch: [258] [ 0/229] learning_rate: 0.019035 loss_vfl: 0.793687 loss_bbox: 0.307363 loss_dfl: 0.194902 loss: 1.294537 eta: 9:16:17 batch_cost: 4.0611 data_cost: 0.4844 ips: 31.5188 images/s [10/17 12:23:21] ppdet.engine INFO: Epoch: [258] [ 20/229] learning_rate: 0.018957 loss_vfl: 0.786107 loss_bbox: 0.298998 loss_dfl: 0.191521 loss: 1.279417 eta: 9:15:07 batch_cost: 3.4011 data_cost: 0.0029 ips: 37.6343 images/s [10/17 12:24:32] ppdet.engine INFO: Epoch: [258] [ 40/229] learning_rate: 0.018879 loss_vfl: 0.796216 loss_bbox: 0.307946 loss_dfl: 0.189820 loss: 1.294198 eta: 9:13:57 batch_cost: 3.3754 data_cost: 0.0027 ips: 37.9214 images/s [10/17 12:25:44] ppdet.engine INFO: Epoch: [258] [ 60/229] learning_rate: 0.018802 loss_vfl: 0.795650 loss_bbox: 0.315478 loss_dfl: 0.194296 loss: 1.300673 eta: 9:12:48 batch_cost: 3.4603 data_cost: 0.0028 ips: 36.9913 images/s [10/17 12:26:55] ppdet.engine INFO: Epoch: [258] [ 80/229] learning_rate: 0.018724 loss_vfl: 0.788563 loss_bbox: 0.316209 loss_dfl: 0.195227 loss: 1.292879 eta: 9:11:38 batch_cost: 3.3810 data_cost: 0.0024 ips: 37.8590 images/s [10/17 12:28:06] ppdet.engine INFO: Epoch: [258] [100/229] learning_rate: 0.018647 loss_vfl: 0.798635 loss_bbox: 0.306938 loss_dfl: 0.196664 loss: 1.313903 eta: 9:10:28 batch_cost: 3.3963 data_cost: 0.0029 ips: 37.6884 images/s [10/17 12:29:17] ppdet.engine INFO: Epoch: [258] [120/229] learning_rate: 0.018570 loss_vfl: 0.793654 loss_bbox: 0.305001 loss_dfl: 0.193807 loss: 1.302559 eta: 9:09:19 batch_cost: 3.4153 data_cost: 0.0024 ips: 37.4783 images/s [10/17 12:30:27] ppdet.engine INFO: Epoch: [258] [140/229] learning_rate: 0.018493 loss_vfl: 0.811699 loss_bbox: 0.313750 loss_dfl: 0.189763 loss: 1.334806 eta: 9:08:09 batch_cost: 3.3645 data_cost: 0.0025 ips: 38.0447 images/s [10/17 12:31:39] ppdet.engine INFO: Epoch: [258] [160/229] learning_rate: 0.018416 loss_vfl: 0.793163 loss_bbox: 0.305716 loss_dfl: 0.194098 loss: 1.296193 eta: 9:07:00 batch_cost: 3.4533 data_cost: 0.0025 ips: 37.0658 images/s [10/17 12:32:50] ppdet.engine INFO: Epoch: [258] [180/229] learning_rate: 0.018340 loss_vfl: 0.799295 loss_bbox: 0.309240 loss_dfl: 0.195162 loss: 1.299567 eta: 9:05:50 batch_cost: 3.4060 data_cost: 0.0024 ips: 37.5802 images/s [10/17 12:34:01] ppdet.engine INFO: Epoch: [258] [200/229] learning_rate: 0.018263 loss_vfl: 0.795724 loss_bbox: 0.303760 loss_dfl: 0.188627 loss: 1.285911 eta: 9:04:40 batch_cost: 3.4011 data_cost: 0.0029 ips: 37.6353 images/s [10/17 12:35:08] ppdet.engine INFO: Epoch: [258] [220/229] learning_rate: 0.018187 loss_vfl: 0.792436 loss_bbox: 0.308212 loss_dfl: 0.192087 loss: 1.289667 eta: 9:03:30 batch_cost: 3.1747 data_cost: 0.0025 ips: 40.3183 images/s [10/17 12:36:01] ppdet.engine INFO: Epoch: [259] [ 0/229] learning_rate: 0.018153 loss_vfl: 0.788320 loss_bbox: 0.308360 loss_dfl: 0.193369 loss: 1.289667 eta: 9:03:02 batch_cost: 4.1024 data_cost: 0.4841 ips: 31.2013 images/s [10/17 12:37:14] ppdet.engine INFO: Epoch: [259] [ 20/229] learning_rate: 0.018077 loss_vfl: 0.810935 loss_bbox: 0.305850 loss_dfl: 0.191493 loss: 1.297549 eta: 9:01:52 batch_cost: 3.5077 data_cost: 0.0028 ips: 36.4915 images/s [10/17 12:38:26] ppdet.engine INFO: Epoch: [259] [ 40/229] learning_rate: 0.018001 loss_vfl: 0.793267 loss_bbox: 0.313512 loss_dfl: 0.194585 loss: 1.302259 eta: 9:00:43 batch_cost: 3.4592 data_cost: 0.0025 ips: 37.0032 images/s [10/17 12:39:39] ppdet.engine INFO: Epoch: [259] [ 60/229] learning_rate: 0.017925 loss_vfl: 0.806538 loss_bbox: 0.294646 loss_dfl: 0.193316 loss: 1.304349 eta: 8:59:33 batch_cost: 3.4581 data_cost: 0.0027 ips: 37.0145 images/s [10/17 12:40:50] ppdet.engine INFO: Epoch: [259] [ 80/229] learning_rate: 0.017849 loss_vfl: 0.795337 loss_bbox: 0.310020 loss_dfl: 0.194111 loss: 1.308350 eta: 8:58:24 batch_cost: 3.4069 data_cost: 0.0025 ips: 37.5705 images/s [10/17 12:42:00] ppdet.engine INFO: Epoch: [259] [100/229] learning_rate: 0.017774 loss_vfl: 0.793900 loss_bbox: 0.311801 loss_dfl: 0.195431 loss: 1.299879 eta: 8:57:14 batch_cost: 3.3656 data_cost: 0.0024 ips: 38.0323 images/s [10/17 12:43:11] ppdet.engine INFO: Epoch: [259] [120/229] learning_rate: 0.017699 loss_vfl: 0.795601 loss_bbox: 0.315295 loss_dfl: 0.193540 loss: 1.315829 eta: 8:56:05 batch_cost: 3.4120 data_cost: 0.0024 ips: 37.5145 images/s [10/17 12:44:22] ppdet.engine INFO: Epoch: [259] [140/229] learning_rate: 0.017623 loss_vfl: 0.796135 loss_bbox: 0.313016 loss_dfl: 0.197951 loss: 1.307613 eta: 8:54:55 batch_cost: 3.3852 data_cost: 0.0024 ips: 37.8117 images/s [10/17 12:45:32] ppdet.engine INFO: Epoch: [259] [160/229] learning_rate: 0.017548 loss_vfl: 0.795416 loss_bbox: 0.309277 loss_dfl: 0.192384 loss: 1.282235 eta: 8:53:45 batch_cost: 3.3382 data_cost: 0.0025 ips: 38.3443 images/s [10/17 12:46:44] ppdet.engine INFO: Epoch: [259] [180/229] learning_rate: 0.017474 loss_vfl: 0.794961 loss_bbox: 0.311518 loss_dfl: 0.191765 loss: 1.282413 eta: 8:52:36 batch_cost: 3.4493 data_cost: 0.0025 ips: 37.1085 images/s [10/17 12:47:54] ppdet.engine INFO: Epoch: [259] [200/229] learning_rate: 0.017399 loss_vfl: 0.797881 loss_bbox: 0.300670 loss_dfl: 0.196477 loss: 1.295298 eta: 8:51:26 batch_cost: 3.3998 data_cost: 0.0024 ips: 37.6497 images/s [10/17 12:49:03] ppdet.engine INFO: Epoch: [259] [220/229] learning_rate: 0.017324 loss_vfl: 0.795223 loss_bbox: 0.317386 loss_dfl: 0.193121 loss: 1.303871 eta: 8:50:16 batch_cost: 3.2531 data_cost: 0.0024 ips: 39.3476 images/s [10/17 12:49:30] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 12:49:30] ppdet.engine INFO: Eval iter: 0 [10/17 12:50:08] ppdet.engine INFO: Eval iter: 100 [10/17 12:50:30] ppdet.engine INFO: Eval iter: 200 [10/17 12:50:51] ppdet.engine INFO: Eval iter: 300 [10/17 12:51:13] ppdet.engine INFO: Eval iter: 400 [10/17 12:51:36] ppdet.engine INFO: Eval iter: 500 [10/17 12:51:58] ppdet.engine INFO: Eval iter: 600 [10/17 12:52:18] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/17 12:52:19] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.64s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=94.70s). Accumulating evaluation results... DONE (t=16.53s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.271 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.412 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.282 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.079 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.269 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.471 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 ] = 0.396 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.423 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.143 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.471 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.682 [10/17 12:54:16] ppdet.engine INFO: Total sample number: 5000, averge FPS: 32.306062477670075 [10/17 12:54:16] ppdet.engine INFO: Best test bbox ap is 0.271. [10/17 12:54:20] ppdet.engine INFO: Epoch: [260] [ 0/229] learning_rate: 0.017291 loss_vfl: 0.796160 loss_bbox: 0.315891 loss_dfl: 0.193121 loss: 1.298877 eta: 8:49:44 batch_cost: 2.9895 data_cost: 0.0024 ips: 42.8169 images/s [10/17 12:55:31] ppdet.engine INFO: Epoch: [260] [ 20/229] learning_rate: 0.017217 loss_vfl: 0.784482 loss_bbox: 0.316229 loss_dfl: 0.193586 loss: 1.295620 eta: 8:48:34 batch_cost: 3.4213 data_cost: 0.0028 ips: 37.4130 images/s [10/17 12:56:40] ppdet.engine INFO: Epoch: [260] [ 40/229] learning_rate: 0.017142 loss_vfl: 0.800313 loss_bbox: 0.305287 loss_dfl: 0.192383 loss: 1.296258 eta: 8:47:24 batch_cost: 3.3274 data_cost: 0.0024 ips: 38.4684 images/s [10/17 12:57:51] ppdet.engine INFO: Epoch: [260] [ 60/229] learning_rate: 0.017068 loss_vfl: 0.802472 loss_bbox: 0.307534 loss_dfl: 0.191835 loss: 1.287786 eta: 8:46:15 batch_cost: 3.3633 data_cost: 0.0024 ips: 38.0579 images/s [10/17 12:59:02] ppdet.engine INFO: Epoch: [260] [ 80/229] learning_rate: 0.016995 loss_vfl: 0.796595 loss_bbox: 0.314049 loss_dfl: 0.198350 loss: 1.301389 eta: 8:45:05 batch_cost: 3.3878 data_cost: 0.0024 ips: 37.7830 images/s [10/17 13:00:12] ppdet.engine INFO: Epoch: [260] [100/229] learning_rate: 0.016921 loss_vfl: 0.800088 loss_bbox: 0.306941 loss_dfl: 0.193683 loss: 1.319626 eta: 8:43:55 batch_cost: 3.3509 data_cost: 0.0025 ips: 38.1988 images/s [10/17 13:01:20] ppdet.engine INFO: Epoch: [260] [120/229] learning_rate: 0.016847 loss_vfl: 0.803078 loss_bbox: 0.301656 loss_dfl: 0.191824 loss: 1.295295 eta: 8:42:45 batch_cost: 3.2894 data_cost: 0.0025 ips: 38.9126 images/s [10/17 13:02:31] ppdet.engine INFO: Epoch: [260] [140/229] learning_rate: 0.016774 loss_vfl: 0.795302 loss_bbox: 0.301700 loss_dfl: 0.191366 loss: 1.298308 eta: 8:41:36 batch_cost: 3.3605 data_cost: 0.0024 ips: 38.0890 images/s [10/17 13:03:42] ppdet.engine INFO: Epoch: [260] [160/229] learning_rate: 0.016701 loss_vfl: 0.797152 loss_bbox: 0.308679 loss_dfl: 0.192417 loss: 1.291721 eta: 8:40:26 batch_cost: 3.4097 data_cost: 0.0023 ips: 37.5398 images/s [10/17 13:04:51] ppdet.engine INFO: Epoch: [260] [180/229] learning_rate: 0.016628 loss_vfl: 0.799063 loss_bbox: 0.324119 loss_dfl: 0.201283 loss: 1.327009 eta: 8:39:16 batch_cost: 3.3256 data_cost: 0.0025 ips: 38.4896 images/s [10/17 13:06:02] ppdet.engine INFO: Epoch: [260] [200/229] learning_rate: 0.016555 loss_vfl: 0.795059 loss_bbox: 0.316133 loss_dfl: 0.199117 loss: 1.309268 eta: 8:38:07 batch_cost: 3.3819 data_cost: 0.0024 ips: 37.8491 images/s [10/17 13:07:09] ppdet.engine INFO: Epoch: [260] [220/229] learning_rate: 0.016482 loss_vfl: 0.795673 loss_bbox: 0.303250 loss_dfl: 0.194879 loss: 1.295708 eta: 8:36:56 batch_cost: 3.2163 data_cost: 0.0023 ips: 39.7971 images/s [10/17 13:08:03] ppdet.engine INFO: Epoch: [261] [ 0/229] learning_rate: 0.016449 loss_vfl: 0.807724 loss_bbox: 0.291353 loss_dfl: 0.191895 loss: 1.285725 eta: 8:36:28 batch_cost: 4.1121 data_cost: 0.4070 ips: 31.1279 images/s [10/17 13:09:15] ppdet.engine INFO: Epoch: [261] [ 20/229] learning_rate: 0.016377 loss_vfl: 0.790891 loss_bbox: 0.293714 loss_dfl: 0.188559 loss: 1.274508 eta: 8:35:18 batch_cost: 3.4549 data_cost: 0.0024 ips: 37.0493 images/s [10/17 13:10:27] ppdet.engine INFO: Epoch: [261] [ 40/229] learning_rate: 0.016304 loss_vfl: 0.792130 loss_bbox: 0.311986 loss_dfl: 0.195502 loss: 1.291874 eta: 8:34:09 batch_cost: 3.4645 data_cost: 0.0024 ips: 36.9460 images/s [10/17 13:11:38] ppdet.engine INFO: Epoch: [261] [ 60/229] learning_rate: 0.016232 loss_vfl: 0.797871 loss_bbox: 0.301097 loss_dfl: 0.191988 loss: 1.288943 eta: 8:32:59 batch_cost: 3.4070 data_cost: 0.0025 ips: 37.5697 images/s [10/17 13:12:49] ppdet.engine INFO: Epoch: [261] [ 80/229] learning_rate: 0.016160 loss_vfl: 0.786639 loss_bbox: 0.311388 loss_dfl: 0.195056 loss: 1.299691 eta: 8:31:50 batch_cost: 3.4036 data_cost: 0.0026 ips: 37.6068 images/s [10/17 13:14:02] ppdet.engine INFO: Epoch: [261] [100/229] learning_rate: 0.016088 loss_vfl: 0.807393 loss_bbox: 0.307257 loss_dfl: 0.197488 loss: 1.310041 eta: 8:30:40 batch_cost: 3.4817 data_cost: 0.0024 ips: 36.7633 images/s [10/17 13:15:13] ppdet.engine INFO: Epoch: [261] [120/229] learning_rate: 0.016016 loss_vfl: 0.794754 loss_bbox: 0.295589 loss_dfl: 0.193769 loss: 1.282430 eta: 8:29:31 batch_cost: 3.4337 data_cost: 0.0024 ips: 37.2774 images/s [10/17 13:16:27] ppdet.engine INFO: Epoch: [261] [140/229] learning_rate: 0.015944 loss_vfl: 0.789697 loss_bbox: 0.301300 loss_dfl: 0.193810 loss: 1.291913 eta: 8:28:22 batch_cost: 3.5113 data_cost: 0.0026 ips: 36.4537 images/s [10/17 13:17:37] ppdet.engine INFO: Epoch: [261] [160/229] learning_rate: 0.015873 loss_vfl: 0.787061 loss_bbox: 0.288221 loss_dfl: 0.181685 loss: 1.264290 eta: 8:27:12 batch_cost: 3.3715 data_cost: 0.0025 ips: 37.9649 images/s [10/17 13:18:48] ppdet.engine INFO: Epoch: [261] [180/229] learning_rate: 0.015801 loss_vfl: 0.795298 loss_bbox: 0.314983 loss_dfl: 0.199516 loss: 1.329738 eta: 8:26:02 batch_cost: 3.4025 data_cost: 0.0025 ips: 37.6196 images/s [10/17 13:20:00] ppdet.engine INFO: Epoch: [261] [200/229] learning_rate: 0.015730 loss_vfl: 0.811631 loss_bbox: 0.300635 loss_dfl: 0.190655 loss: 1.302466 eta: 8:24:53 batch_cost: 3.4467 data_cost: 0.0023 ips: 37.1368 images/s [10/17 13:21:08] ppdet.engine INFO: Epoch: [261] [220/229] learning_rate: 0.015659 loss_vfl: 0.807124 loss_bbox: 0.315314 loss_dfl: 0.195762 loss: 1.314588 eta: 8:23:43 batch_cost: 3.2688 data_cost: 0.0024 ips: 39.1581 images/s [10/17 13:22:03] ppdet.engine INFO: Epoch: [262] [ 0/229] learning_rate: 0.015627 loss_vfl: 0.808945 loss_bbox: 0.315604 loss_dfl: 0.194790 loss: 1.313219 eta: 8:23:14 batch_cost: 4.1588 data_cost: 0.6110 ips: 30.7777 images/s [10/17 13:23:18] ppdet.engine INFO: Epoch: [262] [ 20/229] learning_rate: 0.015557 loss_vfl: 0.797679 loss_bbox: 0.299359 loss_dfl: 0.188020 loss: 1.287663 eta: 8:22:05 batch_cost: 3.5890 data_cost: 0.0042 ips: 35.6644 images/s [10/17 13:24:29] ppdet.engine INFO: Epoch: [262] [ 40/229] learning_rate: 0.015486 loss_vfl: 0.796632 loss_bbox: 0.308218 loss_dfl: 0.196540 loss: 1.298479 eta: 8:20:56 batch_cost: 3.4163 data_cost: 0.0031 ips: 37.4671 images/s [10/17 13:25:42] ppdet.engine INFO: Epoch: [262] [ 60/229] learning_rate: 0.015415 loss_vfl: 0.792220 loss_bbox: 0.323691 loss_dfl: 0.196529 loss: 1.300223 eta: 8:19:46 batch_cost: 3.4814 data_cost: 0.0028 ips: 36.7670 images/s [10/17 13:26:51] ppdet.engine INFO: Epoch: [262] [ 80/229] learning_rate: 0.015345 loss_vfl: 0.793978 loss_bbox: 0.303125 loss_dfl: 0.193235 loss: 1.279701 eta: 8:18:37 batch_cost: 3.3475 data_cost: 0.0025 ips: 38.2372 images/s [10/17 13:28:02] ppdet.engine INFO: Epoch: [262] [100/229] learning_rate: 0.015275 loss_vfl: 0.804532 loss_bbox: 0.302330 loss_dfl: 0.189233 loss: 1.292155 eta: 8:17:27 batch_cost: 3.3695 data_cost: 0.0026 ips: 37.9879 images/s [10/17 13:29:13] ppdet.engine INFO: Epoch: [262] [120/229] learning_rate: 0.015205 loss_vfl: 0.801881 loss_bbox: 0.313410 loss_dfl: 0.197114 loss: 1.306266 eta: 8:16:17 batch_cost: 3.3949 data_cost: 0.0025 ips: 37.7040 images/s [10/17 13:30:23] ppdet.engine INFO: Epoch: [262] [140/229] learning_rate: 0.015135 loss_vfl: 0.799856 loss_bbox: 0.305517 loss_dfl: 0.199212 loss: 1.305389 eta: 8:15:08 batch_cost: 3.3857 data_cost: 0.0025 ips: 37.8062 images/s [10/17 13:31:35] ppdet.engine INFO: Epoch: [262] [160/229] learning_rate: 0.015065 loss_vfl: 0.794771 loss_bbox: 0.301590 loss_dfl: 0.191696 loss: 1.294752 eta: 8:13:58 batch_cost: 3.4278 data_cost: 0.0026 ips: 37.3412 images/s [10/17 13:32:46] ppdet.engine INFO: Epoch: [262] [180/229] learning_rate: 0.014996 loss_vfl: 0.795936 loss_bbox: 0.306481 loss_dfl: 0.194647 loss: 1.298763 eta: 8:12:49 batch_cost: 3.3846 data_cost: 0.0024 ips: 37.8184 images/s [10/17 13:33:57] ppdet.engine INFO: Epoch: [262] [200/229] learning_rate: 0.014926 loss_vfl: 0.799426 loss_bbox: 0.305906 loss_dfl: 0.199213 loss: 1.294071 eta: 8:11:39 batch_cost: 3.4291 data_cost: 0.0025 ips: 37.3273 images/s [10/17 13:35:04] ppdet.engine INFO: Epoch: [262] [220/229] learning_rate: 0.014857 loss_vfl: 0.795663 loss_bbox: 0.308433 loss_dfl: 0.191376 loss: 1.298727 eta: 8:10:29 batch_cost: 3.1951 data_cost: 0.0024 ips: 40.0615 images/s [10/17 13:35:56] ppdet.engine INFO: Epoch: [263] [ 0/229] learning_rate: 0.014826 loss_vfl: 0.795395 loss_bbox: 0.310188 loss_dfl: 0.189746 loss: 1.300551 eta: 8:10:00 batch_cost: 4.0111 data_cost: 0.3145 ips: 31.9115 images/s [10/17 13:37:09] ppdet.engine INFO: Epoch: [263] [ 20/229] learning_rate: 0.014757 loss_vfl: 0.801455 loss_bbox: 0.308838 loss_dfl: 0.192042 loss: 1.287616 eta: 8:08:51 batch_cost: 3.5310 data_cost: 0.0031 ips: 36.2504 images/s [10/17 13:38:22] ppdet.engine INFO: Epoch: [263] [ 40/229] learning_rate: 0.014688 loss_vfl: 0.787869 loss_bbox: 0.301916 loss_dfl: 0.189420 loss: 1.278895 eta: 8:07:41 batch_cost: 3.4965 data_cost: 0.0025 ips: 36.6077 images/s [10/17 13:39:32] ppdet.engine INFO: Epoch: [263] [ 60/229] learning_rate: 0.014619 loss_vfl: 0.798116 loss_bbox: 0.294316 loss_dfl: 0.192595 loss: 1.293006 eta: 8:06:32 batch_cost: 3.3661 data_cost: 0.0024 ips: 38.0266 images/s [10/17 13:40:42] ppdet.engine INFO: Epoch: [263] [ 80/229] learning_rate: 0.014551 loss_vfl: 0.790078 loss_bbox: 0.298784 loss_dfl: 0.197181 loss: 1.284823 eta: 8:05:22 batch_cost: 3.3496 data_cost: 0.0025 ips: 38.2131 images/s [10/17 13:41:55] ppdet.engine INFO: Epoch: [263] [100/229] learning_rate: 0.014482 loss_vfl: 0.778606 loss_bbox: 0.300527 loss_dfl: 0.187628 loss: 1.277756 eta: 8:04:13 batch_cost: 3.4808 data_cost: 0.0024 ips: 36.7728 images/s [10/17 13:43:05] ppdet.engine INFO: Epoch: [263] [120/229] learning_rate: 0.014414 loss_vfl: 0.803655 loss_bbox: 0.303328 loss_dfl: 0.193645 loss: 1.287273 eta: 8:03:03 batch_cost: 3.3621 data_cost: 0.0023 ips: 38.0715 images/s [10/17 13:44:16] ppdet.engine INFO: Epoch: [263] [140/229] learning_rate: 0.014346 loss_vfl: 0.799624 loss_bbox: 0.306988 loss_dfl: 0.193725 loss: 1.293316 eta: 8:01:53 batch_cost: 3.4060 data_cost: 0.0024 ips: 37.5810 images/s [10/17 13:45:28] ppdet.engine INFO: Epoch: [263] [160/229] learning_rate: 0.014278 loss_vfl: 0.792512 loss_bbox: 0.328598 loss_dfl: 0.203418 loss: 1.308848 eta: 8:00:44 batch_cost: 3.4198 data_cost: 0.0037 ips: 37.4291 images/s [10/17 13:46:37] ppdet.engine INFO: Epoch: [263] [180/229] learning_rate: 0.014210 loss_vfl: 0.795462 loss_bbox: 0.305742 loss_dfl: 0.194202 loss: 1.288022 eta: 7:59:34 batch_cost: 3.3036 data_cost: 0.0025 ips: 38.7461 images/s [10/17 13:47:47] ppdet.engine INFO: Epoch: [263] [200/229] learning_rate: 0.014143 loss_vfl: 0.787498 loss_bbox: 0.296182 loss_dfl: 0.187918 loss: 1.274289 eta: 7:58:24 batch_cost: 3.3899 data_cost: 0.0023 ips: 37.7597 images/s [10/17 13:48:56] ppdet.engine INFO: Epoch: [263] [220/229] learning_rate: 0.014075 loss_vfl: 0.796211 loss_bbox: 0.307728 loss_dfl: 0.194426 loss: 1.291731 eta: 7:57:14 batch_cost: 3.3020 data_cost: 0.0024 ips: 38.7639 images/s [10/17 13:49:50] ppdet.engine INFO: Epoch: [264] [ 0/229] learning_rate: 0.014045 loss_vfl: 0.786843 loss_bbox: 0.296433 loss_dfl: 0.190047 loss: 1.272730 eta: 7:56:46 batch_cost: 4.2511 data_cost: 0.2832 ips: 30.1097 images/s [10/17 13:51:03] ppdet.engine INFO: Epoch: [264] [ 20/229] learning_rate: 0.013977 loss_vfl: 0.791456 loss_bbox: 0.311099 loss_dfl: 0.196246 loss: 1.300270 eta: 7:55:36 batch_cost: 3.4503 data_cost: 0.0026 ips: 37.0986 images/s [10/17 13:52:12] ppdet.engine INFO: Epoch: [264] [ 40/229] learning_rate: 0.013910 loss_vfl: 0.798677 loss_bbox: 0.306502 loss_dfl: 0.193605 loss: 1.291189 eta: 7:54:26 batch_cost: 3.3449 data_cost: 0.0032 ips: 38.2678 images/s [10/17 13:53:24] ppdet.engine INFO: Epoch: [264] [ 60/229] learning_rate: 0.013843 loss_vfl: 0.800609 loss_bbox: 0.315391 loss_dfl: 0.201996 loss: 1.311846 eta: 7:53:17 batch_cost: 3.4106 data_cost: 0.0026 ips: 37.5301 images/s [10/17 13:54:34] ppdet.engine INFO: Epoch: [264] [ 80/229] learning_rate: 0.013777 loss_vfl: 0.803035 loss_bbox: 0.309193 loss_dfl: 0.195314 loss: 1.301984 eta: 7:52:07 batch_cost: 3.3710 data_cost: 0.0025 ips: 37.9710 images/s [10/17 13:55:45] ppdet.engine INFO: Epoch: [264] [100/229] learning_rate: 0.013710 loss_vfl: 0.782426 loss_bbox: 0.308451 loss_dfl: 0.195847 loss: 1.283604 eta: 7:50:58 batch_cost: 3.4119 data_cost: 0.0024 ips: 37.5152 images/s [10/17 13:56:56] ppdet.engine INFO: Epoch: [264] [120/229] learning_rate: 0.013643 loss_vfl: 0.798762 loss_bbox: 0.296821 loss_dfl: 0.187350 loss: 1.284362 eta: 7:49:48 batch_cost: 3.3852 data_cost: 0.0024 ips: 37.8122 images/s [10/17 13:58:07] ppdet.engine INFO: Epoch: [264] [140/229] learning_rate: 0.013577 loss_vfl: 0.782759 loss_bbox: 0.313735 loss_dfl: 0.196559 loss: 1.307783 eta: 7:48:39 batch_cost: 3.4187 data_cost: 0.0024 ips: 37.4408 images/s [10/17 13:59:17] ppdet.engine INFO: Epoch: [264] [160/229] learning_rate: 0.013511 loss_vfl: 0.801363 loss_bbox: 0.308330 loss_dfl: 0.193148 loss: 1.301429 eta: 7:47:29 batch_cost: 3.3519 data_cost: 0.0029 ips: 38.1876 images/s [10/17 14:00:27] ppdet.engine INFO: Epoch: [264] [180/229] learning_rate: 0.013445 loss_vfl: 0.783924 loss_bbox: 0.312248 loss_dfl: 0.194274 loss: 1.283445 eta: 7:46:19 batch_cost: 3.3539 data_cost: 0.0025 ips: 38.1644 images/s [10/17 14:01:37] ppdet.engine INFO: Epoch: [264] [200/229] learning_rate: 0.013379 loss_vfl: 0.793913 loss_bbox: 0.303794 loss_dfl: 0.191193 loss: 1.290352 eta: 7:45:09 batch_cost: 3.3314 data_cost: 0.0025 ips: 38.4224 images/s [10/17 14:02:45] ppdet.engine INFO: Epoch: [264] [220/229] learning_rate: 0.013313 loss_vfl: 0.802186 loss_bbox: 0.305379 loss_dfl: 0.195164 loss: 1.295167 eta: 7:43:59 batch_cost: 3.2428 data_cost: 0.0024 ips: 39.4726 images/s [10/17 14:03:39] ppdet.engine INFO: Epoch: [265] [ 0/229] learning_rate: 0.013284 loss_vfl: 0.805369 loss_bbox: 0.303076 loss_dfl: 0.194696 loss: 1.289201 eta: 7:43:31 batch_cost: 4.2027 data_cost: 0.4692 ips: 30.4568 images/s [10/17 14:04:53] ppdet.engine INFO: Epoch: [265] [ 20/229] learning_rate: 0.013218 loss_vfl: 0.792171 loss_bbox: 0.290888 loss_dfl: 0.188389 loss: 1.291252 eta: 7:42:21 batch_cost: 3.5436 data_cost: 0.0029 ips: 36.1213 images/s [10/17 14:06:07] ppdet.engine INFO: Epoch: [265] [ 40/229] learning_rate: 0.013153 loss_vfl: 0.793549 loss_bbox: 0.320839 loss_dfl: 0.198425 loss: 1.303602 eta: 7:41:12 batch_cost: 3.5345 data_cost: 0.0042 ips: 36.2141 images/s [10/17 14:07:19] ppdet.engine INFO: Epoch: [265] [ 60/229] learning_rate: 0.013088 loss_vfl: 0.786395 loss_bbox: 0.302392 loss_dfl: 0.192529 loss: 1.291298 eta: 7:40:03 batch_cost: 3.4307 data_cost: 0.0031 ips: 37.3099 images/s [10/17 14:08:30] ppdet.engine INFO: Epoch: [265] [ 80/229] learning_rate: 0.013023 loss_vfl: 0.795161 loss_bbox: 0.295548 loss_dfl: 0.187016 loss: 1.289830 eta: 7:38:53 batch_cost: 3.4392 data_cost: 0.0026 ips: 37.2177 images/s [10/17 14:09:42] ppdet.engine INFO: Epoch: [265] [100/229] learning_rate: 0.012958 loss_vfl: 0.803069 loss_bbox: 0.295881 loss_dfl: 0.187345 loss: 1.285240 eta: 7:37:44 batch_cost: 3.4084 data_cost: 0.0026 ips: 37.5547 images/s [10/17 14:10:52] ppdet.engine INFO: Epoch: [265] [120/229] learning_rate: 0.012893 loss_vfl: 0.789487 loss_bbox: 0.303514 loss_dfl: 0.190364 loss: 1.287705 eta: 7:36:34 batch_cost: 3.3575 data_cost: 0.0025 ips: 38.1235 images/s [10/17 14:12:02] ppdet.engine INFO: Epoch: [265] [140/229] learning_rate: 0.012829 loss_vfl: 0.791393 loss_bbox: 0.306529 loss_dfl: 0.191178 loss: 1.290359 eta: 7:35:24 batch_cost: 3.3849 data_cost: 0.0024 ips: 37.8145 images/s [10/17 14:13:14] ppdet.engine INFO: Epoch: [265] [160/229] learning_rate: 0.012765 loss_vfl: 0.788087 loss_bbox: 0.321418 loss_dfl: 0.199146 loss: 1.293113 eta: 7:34:15 batch_cost: 3.4218 data_cost: 0.0024 ips: 37.4075 images/s [10/17 14:14:26] ppdet.engine INFO: Epoch: [265] [180/229] learning_rate: 0.012700 loss_vfl: 0.793492 loss_bbox: 0.301087 loss_dfl: 0.189759 loss: 1.289611 eta: 7:33:05 batch_cost: 3.4845 data_cost: 0.0025 ips: 36.7337 images/s [10/17 14:15:39] ppdet.engine INFO: Epoch: [265] [200/229] learning_rate: 0.012636 loss_vfl: 0.795650 loss_bbox: 0.315248 loss_dfl: 0.201320 loss: 1.315190 eta: 7:31:56 batch_cost: 3.4641 data_cost: 0.0025 ips: 36.9505 images/s [10/17 14:16:47] ppdet.engine INFO: Epoch: [265] [220/229] learning_rate: 0.012572 loss_vfl: 0.798565 loss_bbox: 0.306138 loss_dfl: 0.193469 loss: 1.302091 eta: 7:30:46 batch_cost: 3.2934 data_cost: 0.0024 ips: 38.8652 images/s [10/17 14:17:41] ppdet.engine INFO: Epoch: [266] [ 0/229] learning_rate: 0.012544 loss_vfl: 0.787739 loss_bbox: 0.305440 loss_dfl: 0.195323 loss: 1.291981 eta: 7:30:17 batch_cost: 4.2133 data_cost: 0.5397 ips: 30.3801 images/s [10/17 14:18:55] ppdet.engine INFO: Epoch: [266] [ 20/229] learning_rate: 0.012480 loss_vfl: 0.800770 loss_bbox: 0.308243 loss_dfl: 0.197720 loss: 1.313228 eta: 7:29:08 batch_cost: 3.5673 data_cost: 0.0028 ips: 35.8814 images/s [10/17 14:20:07] ppdet.engine INFO: Epoch: [266] [ 40/229] learning_rate: 0.012416 loss_vfl: 0.797128 loss_bbox: 0.316738 loss_dfl: 0.195923 loss: 1.295156 eta: 7:27:59 batch_cost: 3.4502 data_cost: 0.0025 ips: 37.0996 images/s [10/17 14:21:20] ppdet.engine INFO: Epoch: [266] [ 60/229] learning_rate: 0.012353 loss_vfl: 0.795621 loss_bbox: 0.317920 loss_dfl: 0.192615 loss: 1.289609 eta: 7:26:49 batch_cost: 3.4671 data_cost: 0.0034 ips: 36.9183 images/s [10/17 14:22:31] ppdet.engine INFO: Epoch: [266] [ 80/229] learning_rate: 0.012290 loss_vfl: 0.788393 loss_bbox: 0.303918 loss_dfl: 0.193590 loss: 1.296200 eta: 7:25:40 batch_cost: 3.4172 data_cost: 0.0024 ips: 37.4572 images/s [10/17 14:23:44] ppdet.engine INFO: Epoch: [266] [100/229] learning_rate: 0.012227 loss_vfl: 0.800296 loss_bbox: 0.304038 loss_dfl: 0.192457 loss: 1.306669 eta: 7:24:30 batch_cost: 3.4866 data_cost: 0.0027 ips: 36.7125 images/s [10/17 14:24:54] ppdet.engine INFO: Epoch: [266] [120/229] learning_rate: 0.012164 loss_vfl: 0.793236 loss_bbox: 0.306809 loss_dfl: 0.192808 loss: 1.296782 eta: 7:23:21 batch_cost: 3.3376 data_cost: 0.0025 ips: 38.3509 images/s [10/17 14:26:06] ppdet.engine INFO: Epoch: [266] [140/229] learning_rate: 0.012101 loss_vfl: 0.795442 loss_bbox: 0.316671 loss_dfl: 0.199330 loss: 1.293942 eta: 7:22:11 batch_cost: 3.4504 data_cost: 0.0025 ips: 37.0969 images/s [10/17 14:27:16] ppdet.engine INFO: Epoch: [266] [160/229] learning_rate: 0.012039 loss_vfl: 0.792847 loss_bbox: 0.298645 loss_dfl: 0.189197 loss: 1.276259 eta: 7:21:01 batch_cost: 3.4000 data_cost: 0.0024 ips: 37.6466 images/s [10/17 14:28:26] ppdet.engine INFO: Epoch: [266] [180/229] learning_rate: 0.011976 loss_vfl: 0.796908 loss_bbox: 0.302227 loss_dfl: 0.189142 loss: 1.285012 eta: 7:19:52 batch_cost: 3.3481 data_cost: 0.0025 ips: 38.2309 images/s [10/17 14:29:37] ppdet.engine INFO: Epoch: [266] [200/229] learning_rate: 0.011914 loss_vfl: 0.784495 loss_bbox: 0.309444 loss_dfl: 0.194799 loss: 1.291673 eta: 7:18:42 batch_cost: 3.3724 data_cost: 0.0025 ips: 37.9557 images/s [10/17 14:30:44] ppdet.engine INFO: Epoch: [266] [220/229] learning_rate: 0.011852 loss_vfl: 0.796112 loss_bbox: 0.300356 loss_dfl: 0.194170 loss: 1.288554 eta: 7:17:32 batch_cost: 3.2210 data_cost: 0.0023 ips: 39.7394 images/s [10/17 14:31:36] ppdet.engine INFO: Epoch: [267] [ 0/229] learning_rate: 0.011824 loss_vfl: 0.793839 loss_bbox: 0.298064 loss_dfl: 0.194170 loss: 1.287927 eta: 7:17:03 batch_cost: 4.0446 data_cost: 0.4475 ips: 31.6474 images/s [10/17 14:32:49] ppdet.engine INFO: Epoch: [267] [ 20/229] learning_rate: 0.011762 loss_vfl: 0.792162 loss_bbox: 0.302690 loss_dfl: 0.190314 loss: 1.274354 eta: 7:15:53 batch_cost: 3.4818 data_cost: 0.0030 ips: 36.7628 images/s [10/17 14:34:02] ppdet.engine INFO: Epoch: [267] [ 40/229] learning_rate: 0.011700 loss_vfl: 0.795755 loss_bbox: 0.287665 loss_dfl: 0.189560 loss: 1.279102 eta: 7:14:44 batch_cost: 3.4818 data_cost: 0.0033 ips: 36.7624 images/s [10/17 14:35:14] ppdet.engine INFO: Epoch: [267] [ 60/229] learning_rate: 0.011639 loss_vfl: 0.793159 loss_bbox: 0.295497 loss_dfl: 0.184473 loss: 1.277408 eta: 7:13:35 batch_cost: 3.4481 data_cost: 0.0030 ips: 37.1218 images/s [10/17 14:36:25] ppdet.engine INFO: Epoch: [267] [ 80/229] learning_rate: 0.011577 loss_vfl: 0.785657 loss_bbox: 0.314319 loss_dfl: 0.196755 loss: 1.297252 eta: 7:12:25 batch_cost: 3.4066 data_cost: 0.0030 ips: 37.5736 images/s [10/17 14:37:38] ppdet.engine INFO: Epoch: [267] [100/229] learning_rate: 0.011516 loss_vfl: 0.788601 loss_bbox: 0.317784 loss_dfl: 0.200039 loss: 1.315740 eta: 7:11:16 batch_cost: 3.4797 data_cost: 0.0026 ips: 36.7849 images/s [10/17 14:38:48] ppdet.engine INFO: Epoch: [267] [120/229] learning_rate: 0.011455 loss_vfl: 0.802155 loss_bbox: 0.312728 loss_dfl: 0.195138 loss: 1.307435 eta: 7:10:06 batch_cost: 3.3796 data_cost: 0.0030 ips: 37.8739 images/s [10/17 14:39:58] ppdet.engine INFO: Epoch: [267] [140/229] learning_rate: 0.011394 loss_vfl: 0.799373 loss_bbox: 0.308984 loss_dfl: 0.199524 loss: 1.312606 eta: 7:08:56 batch_cost: 3.3501 data_cost: 0.0026 ips: 38.2080 images/s [10/17 14:41:08] ppdet.engine INFO: Epoch: [267] [160/229] learning_rate: 0.011333 loss_vfl: 0.799903 loss_bbox: 0.314502 loss_dfl: 0.199192 loss: 1.319890 eta: 7:07:47 batch_cost: 3.3216 data_cost: 0.0026 ips: 38.5361 images/s [10/17 14:42:17] ppdet.engine INFO: Epoch: [267] [180/229] learning_rate: 0.011273 loss_vfl: 0.795835 loss_bbox: 0.293429 loss_dfl: 0.191807 loss: 1.286369 eta: 7:06:37 batch_cost: 3.2899 data_cost: 0.0024 ips: 38.9070 images/s [10/17 14:43:28] ppdet.engine INFO: Epoch: [267] [200/229] learning_rate: 0.011212 loss_vfl: 0.788368 loss_bbox: 0.315734 loss_dfl: 0.192899 loss: 1.287300 eta: 7:05:27 batch_cost: 3.4123 data_cost: 0.0023 ips: 37.5118 images/s [10/17 14:44:37] ppdet.engine INFO: Epoch: [267] [220/229] learning_rate: 0.011152 loss_vfl: 0.787222 loss_bbox: 0.312308 loss_dfl: 0.196041 loss: 1.287460 eta: 7:04:17 batch_cost: 3.2928 data_cost: 0.0024 ips: 38.8730 images/s [10/17 14:45:34] ppdet.engine INFO: Epoch: [268] [ 0/229] learning_rate: 0.011125 loss_vfl: 0.786936 loss_bbox: 0.297595 loss_dfl: 0.189895 loss: 1.277979 eta: 7:03:49 batch_cost: 4.3860 data_cost: 0.5137 ips: 29.1837 images/s [10/17 14:46:47] ppdet.engine INFO: Epoch: [268] [ 20/229] learning_rate: 0.011065 loss_vfl: 0.792239 loss_bbox: 0.315511 loss_dfl: 0.197141 loss: 1.300783 eta: 7:02:39 batch_cost: 3.4686 data_cost: 0.0026 ips: 36.9025 images/s [10/17 14:47:59] ppdet.engine INFO: Epoch: [268] [ 40/229] learning_rate: 0.011005 loss_vfl: 0.791196 loss_bbox: 0.307956 loss_dfl: 0.194591 loss: 1.289171 eta: 7:01:30 batch_cost: 3.4545 data_cost: 0.0026 ips: 37.0533 images/s [10/17 14:49:11] ppdet.engine INFO: Epoch: [268] [ 60/229] learning_rate: 0.010945 loss_vfl: 0.789538 loss_bbox: 0.308964 loss_dfl: 0.192643 loss: 1.289678 eta: 7:00:20 batch_cost: 3.4567 data_cost: 0.0024 ips: 37.0293 images/s [10/17 14:50:21] ppdet.engine INFO: Epoch: [268] [ 80/229] learning_rate: 0.010885 loss_vfl: 0.777899 loss_bbox: 0.303841 loss_dfl: 0.189679 loss: 1.270778 eta: 6:59:11 batch_cost: 3.3444 data_cost: 0.0024 ips: 38.2732 images/s [10/17 14:51:30] ppdet.engine INFO: Epoch: [268] [100/229] learning_rate: 0.010826 loss_vfl: 0.793841 loss_bbox: 0.303929 loss_dfl: 0.192209 loss: 1.280164 eta: 6:58:01 batch_cost: 3.3330 data_cost: 0.0025 ips: 38.4043 images/s [10/17 14:52:40] ppdet.engine INFO: Epoch: [268] [120/229] learning_rate: 0.010767 loss_vfl: 0.795367 loss_bbox: 0.300734 loss_dfl: 0.196194 loss: 1.303424 eta: 6:56:51 batch_cost: 3.3243 data_cost: 0.0023 ips: 38.5048 images/s [10/17 14:53:49] ppdet.engine INFO: Epoch: [268] [140/229] learning_rate: 0.010708 loss_vfl: 0.790473 loss_bbox: 0.290341 loss_dfl: 0.187493 loss: 1.271568 eta: 6:55:42 batch_cost: 3.3321 data_cost: 0.0025 ips: 38.4141 images/s [10/17 14:55:00] ppdet.engine INFO: Epoch: [268] [160/229] learning_rate: 0.010649 loss_vfl: 0.795951 loss_bbox: 0.293494 loss_dfl: 0.191705 loss: 1.284432 eta: 6:54:32 batch_cost: 3.3529 data_cost: 0.0025 ips: 38.1764 images/s [10/17 14:56:09] ppdet.engine INFO: Epoch: [268] [180/229] learning_rate: 0.010590 loss_vfl: 0.781240 loss_bbox: 0.308492 loss_dfl: 0.191098 loss: 1.283124 eta: 6:53:22 batch_cost: 3.3072 data_cost: 0.0027 ips: 38.7040 images/s [10/17 14:57:18] ppdet.engine INFO: Epoch: [268] [200/229] learning_rate: 0.010531 loss_vfl: 0.791332 loss_bbox: 0.304908 loss_dfl: 0.192884 loss: 1.292417 eta: 6:52:12 batch_cost: 3.3121 data_cost: 0.0024 ips: 38.6463 images/s [10/17 14:58:26] ppdet.engine INFO: Epoch: [268] [220/229] learning_rate: 0.010473 loss_vfl: 0.797692 loss_bbox: 0.299663 loss_dfl: 0.186419 loss: 1.274521 eta: 6:51:02 batch_cost: 3.2291 data_cost: 0.0030 ips: 39.6400 images/s [10/17 14:59:19] ppdet.engine INFO: Epoch: [269] [ 0/229] learning_rate: 0.010446 loss_vfl: 0.800593 loss_bbox: 0.296889 loss_dfl: 0.188443 loss: 1.283372 eta: 6:50:33 batch_cost: 4.1187 data_cost: 0.4928 ips: 31.0774 images/s [10/17 15:00:30] ppdet.engine INFO: Epoch: [269] [ 20/229] learning_rate: 0.010388 loss_vfl: 0.785762 loss_bbox: 0.303524 loss_dfl: 0.193280 loss: 1.290931 eta: 6:49:24 batch_cost: 3.4171 data_cost: 0.0030 ips: 37.4586 images/s [10/17 15:01:43] ppdet.engine INFO: Epoch: [269] [ 40/229] learning_rate: 0.010330 loss_vfl: 0.794315 loss_bbox: 0.302337 loss_dfl: 0.193651 loss: 1.298891 eta: 6:48:14 batch_cost: 3.4985 data_cost: 0.0029 ips: 36.5872 images/s [10/17 15:02:55] ppdet.engine INFO: Epoch: [269] [ 60/229] learning_rate: 0.010272 loss_vfl: 0.796487 loss_bbox: 0.309875 loss_dfl: 0.194632 loss: 1.285642 eta: 6:47:05 batch_cost: 3.4080 data_cost: 0.0027 ips: 37.5585 images/s [10/17 15:04:05] ppdet.engine INFO: Epoch: [269] [ 80/229] learning_rate: 0.010214 loss_vfl: 0.790432 loss_bbox: 0.318140 loss_dfl: 0.197838 loss: 1.296693 eta: 6:45:55 batch_cost: 3.3820 data_cost: 0.0026 ips: 37.8477 images/s [10/17 15:05:16] ppdet.engine INFO: Epoch: [269] [100/229] learning_rate: 0.010157 loss_vfl: 0.799274 loss_bbox: 0.309683 loss_dfl: 0.198180 loss: 1.315558 eta: 6:44:46 batch_cost: 3.3927 data_cost: 0.0024 ips: 37.7282 images/s [10/17 15:06:28] ppdet.engine INFO: Epoch: [269] [120/229] learning_rate: 0.010099 loss_vfl: 0.807020 loss_bbox: 0.298031 loss_dfl: 0.192184 loss: 1.289572 eta: 6:43:36 batch_cost: 3.4294 data_cost: 0.0025 ips: 37.3242 images/s [10/17 15:07:38] ppdet.engine INFO: Epoch: [269] [140/229] learning_rate: 0.010042 loss_vfl: 0.785397 loss_bbox: 0.308914 loss_dfl: 0.188400 loss: 1.270753 eta: 6:42:27 batch_cost: 3.3612 data_cost: 0.0024 ips: 38.0818 images/s [10/17 15:08:48] ppdet.engine INFO: Epoch: [269] [160/229] learning_rate: 0.009985 loss_vfl: 0.791495 loss_bbox: 0.314835 loss_dfl: 0.195468 loss: 1.290004 eta: 6:41:17 batch_cost: 3.3354 data_cost: 0.0024 ips: 38.3761 images/s [10/17 15:09:56] ppdet.engine INFO: Epoch: [269] [180/229] learning_rate: 0.009928 loss_vfl: 0.785220 loss_bbox: 0.305961 loss_dfl: 0.188968 loss: 1.268396 eta: 6:40:07 batch_cost: 3.2725 data_cost: 0.0025 ips: 39.1144 images/s [10/17 15:11:06] ppdet.engine INFO: Epoch: [269] [200/229] learning_rate: 0.009871 loss_vfl: 0.787792 loss_bbox: 0.319232 loss_dfl: 0.196647 loss: 1.303957 eta: 6:38:57 batch_cost: 3.3340 data_cost: 0.0031 ips: 38.3921 images/s [10/17 15:12:11] ppdet.engine INFO: Epoch: [269] [220/229] learning_rate: 0.009814 loss_vfl: 0.793625 loss_bbox: 0.307354 loss_dfl: 0.192010 loss: 1.283418 eta: 6:37:47 batch_cost: 3.1529 data_cost: 0.0023 ips: 40.5980 images/s [10/17 15:12:39] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 15:12:39] ppdet.engine INFO: Eval iter: 0 [10/17 15:13:17] ppdet.engine INFO: Eval iter: 100 [10/17 15:13:39] ppdet.engine INFO: Eval iter: 200 [10/17 15:14:00] ppdet.engine INFO: Eval iter: 300 [10/17 15:14:22] ppdet.engine INFO: Eval iter: 400 [10/17 15:14:44] ppdet.engine INFO: Eval iter: 500 [10/17 15:15:06] ppdet.engine INFO: Eval iter: 600 [10/17 15:15:26] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.94s) creating index... index created! [10/17 15:15:27] 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=95.26s). Accumulating evaluation results... DONE (t=18.07s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.271 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.413 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.283 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.078 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.269 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.471 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 ] = 0.396 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 ] = 0.141 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.470 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.682 [10/17 15:17:27] ppdet.engine INFO: Total sample number: 5000, averge FPS: 32.42986479552806 [10/17 15:17:27] ppdet.engine INFO: Best test bbox ap is 0.271. [10/17 15:17:30] ppdet.engine INFO: Epoch: [270] [ 0/229] learning_rate: 0.009789 loss_vfl: 0.793775 loss_bbox: 0.310061 loss_dfl: 0.195508 loss: 1.289480 eta: 6:37:15 batch_cost: 2.9185 data_cost: 0.0024 ips: 43.8584 images/s [10/17 15:18:45] ppdet.engine INFO: Epoch: [270] [ 20/229] learning_rate: 0.009732 loss_vfl: 0.794021 loss_bbox: 0.301110 loss_dfl: 0.186972 loss: 1.281094 eta: 6:36:06 batch_cost: 3.6034 data_cost: 0.0028 ips: 35.5219 images/s [10/17 15:19:58] ppdet.engine INFO: Epoch: [270] [ 40/229] learning_rate: 0.009676 loss_vfl: 0.789647 loss_bbox: 0.307283 loss_dfl: 0.194870 loss: 1.299946 eta: 6:34:57 batch_cost: 3.4753 data_cost: 0.0024 ips: 36.8309 images/s [10/17 15:21:11] ppdet.engine INFO: Epoch: [270] [ 60/229] learning_rate: 0.009620 loss_vfl: 0.789399 loss_bbox: 0.311764 loss_dfl: 0.195662 loss: 1.288917 eta: 6:33:47 batch_cost: 3.5067 data_cost: 0.0034 ips: 36.5015 images/s [10/17 15:22:22] ppdet.engine INFO: Epoch: [270] [ 80/229] learning_rate: 0.009564 loss_vfl: 0.773943 loss_bbox: 0.309575 loss_dfl: 0.188658 loss: 1.273299 eta: 6:32:38 batch_cost: 3.3753 data_cost: 0.0026 ips: 37.9224 images/s [10/17 15:23:35] ppdet.engine INFO: Epoch: [270] [100/229] learning_rate: 0.009508 loss_vfl: 0.795932 loss_bbox: 0.306871 loss_dfl: 0.192390 loss: 1.284125 eta: 6:31:29 batch_cost: 3.5133 data_cost: 0.0025 ips: 36.4331 images/s [10/17 15:24:48] ppdet.engine INFO: Epoch: [270] [120/229] learning_rate: 0.009452 loss_vfl: 0.790525 loss_bbox: 0.301554 loss_dfl: 0.194242 loss: 1.292623 eta: 6:30:19 batch_cost: 3.4913 data_cost: 0.0025 ips: 36.6630 images/s [10/17 15:26:00] ppdet.engine INFO: Epoch: [270] [140/229] learning_rate: 0.009397 loss_vfl: 0.798614 loss_bbox: 0.316213 loss_dfl: 0.193197 loss: 1.296521 eta: 6:29:10 batch_cost: 3.4806 data_cost: 0.0026 ips: 36.7750 images/s [10/17 15:27:11] ppdet.engine INFO: Epoch: [270] [160/229] learning_rate: 0.009342 loss_vfl: 0.789746 loss_bbox: 0.305487 loss_dfl: 0.193376 loss: 1.293038 eta: 6:28:00 batch_cost: 3.4099 data_cost: 0.0024 ips: 37.5381 images/s [10/17 15:28:24] ppdet.engine INFO: Epoch: [270] [180/229] learning_rate: 0.009286 loss_vfl: 0.788122 loss_bbox: 0.309516 loss_dfl: 0.192072 loss: 1.279546 eta: 6:26:51 batch_cost: 3.4646 data_cost: 0.0025 ips: 36.9453 images/s [10/17 15:29:35] ppdet.engine INFO: Epoch: [270] [200/229] learning_rate: 0.009231 loss_vfl: 0.799967 loss_bbox: 0.304813 loss_dfl: 0.191760 loss: 1.296235 eta: 6:25:41 batch_cost: 3.3939 data_cost: 0.0025 ips: 37.7150 images/s [10/17 15:30:43] ppdet.engine INFO: Epoch: [270] [220/229] learning_rate: 0.009177 loss_vfl: 0.792009 loss_bbox: 0.306141 loss_dfl: 0.193041 loss: 1.284095 eta: 6:24:32 batch_cost: 3.2671 data_cost: 0.0024 ips: 39.1780 images/s [10/17 15:31:39] ppdet.engine INFO: Epoch: [271] [ 0/229] learning_rate: 0.009152 loss_vfl: 0.793660 loss_bbox: 0.300161 loss_dfl: 0.193127 loss: 1.283514 eta: 6:24:03 batch_cost: 4.3227 data_cost: 0.6577 ips: 29.6110 images/s [10/17 15:32:52] ppdet.engine INFO: Epoch: [271] [ 20/229] learning_rate: 0.009097 loss_vfl: 0.779576 loss_bbox: 0.298421 loss_dfl: 0.186652 loss: 1.262457 eta: 6:22:53 batch_cost: 3.4780 data_cost: 0.0029 ips: 36.8027 images/s [10/17 15:34:03] ppdet.engine INFO: Epoch: [271] [ 40/229] learning_rate: 0.009043 loss_vfl: 0.784516 loss_bbox: 0.301557 loss_dfl: 0.191734 loss: 1.270162 eta: 6:21:44 batch_cost: 3.4043 data_cost: 0.0024 ips: 37.5997 images/s [10/17 15:35:14] ppdet.engine INFO: Epoch: [271] [ 60/229] learning_rate: 0.008989 loss_vfl: 0.794989 loss_bbox: 0.309272 loss_dfl: 0.191547 loss: 1.285222 eta: 6:20:34 batch_cost: 3.4395 data_cost: 0.0026 ips: 37.2146 images/s [10/17 15:36:28] ppdet.engine INFO: Epoch: [271] [ 80/229] learning_rate: 0.008934 loss_vfl: 0.776285 loss_bbox: 0.310194 loss_dfl: 0.191171 loss: 1.288629 eta: 6:19:25 batch_cost: 3.5194 data_cost: 0.0025 ips: 36.3698 images/s [10/17 15:37:40] ppdet.engine INFO: Epoch: [271] [100/229] learning_rate: 0.008880 loss_vfl: 0.785900 loss_bbox: 0.305742 loss_dfl: 0.187154 loss: 1.278269 eta: 6:18:15 batch_cost: 3.4502 data_cost: 0.0024 ips: 37.0993 images/s [10/17 15:38:52] ppdet.engine INFO: Epoch: [271] [120/229] learning_rate: 0.008827 loss_vfl: 0.791052 loss_bbox: 0.305936 loss_dfl: 0.198443 loss: 1.297513 eta: 6:17:06 batch_cost: 3.4377 data_cost: 0.0025 ips: 37.2347 images/s [10/17 15:40:02] ppdet.engine INFO: Epoch: [271] [140/229] learning_rate: 0.008773 loss_vfl: 0.797406 loss_bbox: 0.306108 loss_dfl: 0.196229 loss: 1.314682 eta: 6:15:56 batch_cost: 3.3738 data_cost: 0.0026 ips: 37.9395 images/s [10/17 15:41:13] ppdet.engine INFO: Epoch: [271] [160/229] learning_rate: 0.008719 loss_vfl: 0.787475 loss_bbox: 0.301005 loss_dfl: 0.191974 loss: 1.291152 eta: 6:14:47 batch_cost: 3.4176 data_cost: 0.0024 ips: 37.4527 images/s [10/17 15:42:25] ppdet.engine INFO: Epoch: [271] [180/229] learning_rate: 0.008666 loss_vfl: 0.787775 loss_bbox: 0.300979 loss_dfl: 0.195066 loss: 1.298626 eta: 6:13:37 batch_cost: 3.4195 data_cost: 0.0024 ips: 37.4325 images/s [10/17 15:43:37] ppdet.engine INFO: Epoch: [271] [200/229] learning_rate: 0.008613 loss_vfl: 0.795550 loss_bbox: 0.296626 loss_dfl: 0.184664 loss: 1.272320 eta: 6:12:28 batch_cost: 3.4562 data_cost: 0.0025 ips: 37.0347 images/s [10/17 15:44:46] ppdet.engine INFO: Epoch: [271] [220/229] learning_rate: 0.008560 loss_vfl: 0.782989 loss_bbox: 0.313683 loss_dfl: 0.192858 loss: 1.290983 eta: 6:11:18 batch_cost: 3.3053 data_cost: 0.0025 ips: 38.7251 images/s [10/17 15:45:41] ppdet.engine INFO: Epoch: [272] [ 0/229] learning_rate: 0.008536 loss_vfl: 0.782631 loss_bbox: 0.325568 loss_dfl: 0.196946 loss: 1.303963 eta: 6:10:49 batch_cost: 4.2309 data_cost: 0.4313 ips: 30.2537 images/s [10/17 15:46:55] ppdet.engine INFO: Epoch: [272] [ 20/229] learning_rate: 0.008483 loss_vfl: 0.802346 loss_bbox: 0.303633 loss_dfl: 0.189133 loss: 1.291819 eta: 6:09:40 batch_cost: 3.5416 data_cost: 0.0026 ips: 36.1417 images/s [10/17 15:48:07] ppdet.engine INFO: Epoch: [272] [ 40/229] learning_rate: 0.008431 loss_vfl: 0.791612 loss_bbox: 0.309203 loss_dfl: 0.194048 loss: 1.290668 eta: 6:08:30 batch_cost: 3.4681 data_cost: 0.0025 ips: 36.9077 images/s [10/17 15:49:19] ppdet.engine INFO: Epoch: [272] [ 60/229] learning_rate: 0.008378 loss_vfl: 0.782262 loss_bbox: 0.302628 loss_dfl: 0.190591 loss: 1.287637 eta: 6:07:21 batch_cost: 3.4272 data_cost: 0.0025 ips: 37.3480 images/s [10/17 15:50:28] ppdet.engine INFO: Epoch: [272] [ 80/229] learning_rate: 0.008326 loss_vfl: 0.777100 loss_bbox: 0.307189 loss_dfl: 0.196150 loss: 1.273829 eta: 6:06:11 batch_cost: 3.3356 data_cost: 0.0023 ips: 38.3741 images/s [10/17 15:51:38] ppdet.engine INFO: Epoch: [272] [100/229] learning_rate: 0.008274 loss_vfl: 0.795627 loss_bbox: 0.309933 loss_dfl: 0.195524 loss: 1.305948 eta: 6:05:01 batch_cost: 3.3317 data_cost: 0.0025 ips: 38.4190 images/s [10/17 15:52:48] ppdet.engine INFO: Epoch: [272] [120/229] learning_rate: 0.008222 loss_vfl: 0.786812 loss_bbox: 0.305142 loss_dfl: 0.193793 loss: 1.279583 eta: 6:03:52 batch_cost: 3.3519 data_cost: 0.0024 ips: 38.1870 images/s [10/17 15:53:59] ppdet.engine INFO: Epoch: [272] [140/229] learning_rate: 0.008170 loss_vfl: 0.781986 loss_bbox: 0.308772 loss_dfl: 0.187248 loss: 1.288112 eta: 6:02:42 batch_cost: 3.4187 data_cost: 0.0025 ips: 37.4412 images/s [10/17 15:55:10] ppdet.engine INFO: Epoch: [272] [160/229] learning_rate: 0.008118 loss_vfl: 0.787178 loss_bbox: 0.316387 loss_dfl: 0.189930 loss: 1.274575 eta: 6:01:33 batch_cost: 3.3930 data_cost: 0.0024 ips: 37.7242 images/s [10/17 15:56:20] ppdet.engine INFO: Epoch: [272] [180/229] learning_rate: 0.008067 loss_vfl: 0.782970 loss_bbox: 0.308875 loss_dfl: 0.191796 loss: 1.293618 eta: 6:00:23 batch_cost: 3.3562 data_cost: 0.0025 ips: 38.1381 images/s [10/17 15:57:30] ppdet.engine INFO: Epoch: [272] [200/229] learning_rate: 0.008015 loss_vfl: 0.777328 loss_bbox: 0.299723 loss_dfl: 0.186910 loss: 1.267779 eta: 5:59:13 batch_cost: 3.3491 data_cost: 0.0025 ips: 38.2197 images/s [10/17 15:58:39] ppdet.engine INFO: Epoch: [272] [220/229] learning_rate: 0.007964 loss_vfl: 0.795271 loss_bbox: 0.308539 loss_dfl: 0.196729 loss: 1.299548 eta: 5:58:04 batch_cost: 3.3117 data_cost: 0.0024 ips: 38.6509 images/s [10/17 15:59:36] ppdet.engine INFO: Epoch: [273] [ 0/229] learning_rate: 0.007941 loss_vfl: 0.791689 loss_bbox: 0.304433 loss_dfl: 0.197016 loss: 1.295770 eta: 5:57:35 batch_cost: 4.3495 data_cost: 0.6350 ips: 29.4290 images/s [10/17 16:00:47] ppdet.engine INFO: Epoch: [273] [ 20/229] learning_rate: 0.007890 loss_vfl: 0.789288 loss_bbox: 0.301889 loss_dfl: 0.190113 loss: 1.281172 eta: 5:56:25 batch_cost: 3.4465 data_cost: 0.0026 ips: 37.1393 images/s [10/17 16:01:59] ppdet.engine INFO: Epoch: [273] [ 40/229] learning_rate: 0.007840 loss_vfl: 0.789227 loss_bbox: 0.298647 loss_dfl: 0.190807 loss: 1.288900 eta: 5:55:16 batch_cost: 3.4268 data_cost: 0.0025 ips: 37.3527 images/s [10/17 16:03:09] ppdet.engine INFO: Epoch: [273] [ 60/229] learning_rate: 0.007789 loss_vfl: 0.796010 loss_bbox: 0.299997 loss_dfl: 0.188677 loss: 1.291064 eta: 5:54:06 batch_cost: 3.3482 data_cost: 0.0024 ips: 38.2293 images/s [10/17 16:04:20] ppdet.engine INFO: Epoch: [273] [ 80/229] learning_rate: 0.007738 loss_vfl: 0.789505 loss_bbox: 0.301169 loss_dfl: 0.191128 loss: 1.291376 eta: 5:52:56 batch_cost: 3.4064 data_cost: 0.0027 ips: 37.5758 images/s [10/17 16:05:32] ppdet.engine INFO: Epoch: [273] [100/229] learning_rate: 0.007688 loss_vfl: 0.795535 loss_bbox: 0.312161 loss_dfl: 0.198756 loss: 1.305979 eta: 5:51:47 batch_cost: 3.4688 data_cost: 0.0026 ips: 36.9005 images/s [10/17 16:06:44] ppdet.engine INFO: Epoch: [273] [120/229] learning_rate: 0.007638 loss_vfl: 0.788430 loss_bbox: 0.299083 loss_dfl: 0.193041 loss: 1.291388 eta: 5:50:38 batch_cost: 3.4113 data_cost: 0.0025 ips: 37.5219 images/s [10/17 16:07:55] ppdet.engine INFO: Epoch: [273] [140/229] learning_rate: 0.007588 loss_vfl: 0.784705 loss_bbox: 0.297900 loss_dfl: 0.186021 loss: 1.276614 eta: 5:49:28 batch_cost: 3.4100 data_cost: 0.0025 ips: 37.5361 images/s [10/17 16:09:05] ppdet.engine INFO: Epoch: [273] [160/229] learning_rate: 0.007538 loss_vfl: 0.786555 loss_bbox: 0.325351 loss_dfl: 0.204271 loss: 1.309429 eta: 5:48:18 batch_cost: 3.3874 data_cost: 0.0025 ips: 37.7872 images/s [10/17 16:10:16] ppdet.engine INFO: Epoch: [273] [180/229] learning_rate: 0.007488 loss_vfl: 0.787352 loss_bbox: 0.309493 loss_dfl: 0.187067 loss: 1.290555 eta: 5:47:09 batch_cost: 3.3877 data_cost: 0.0024 ips: 37.7842 images/s [10/17 16:11:26] ppdet.engine INFO: Epoch: [273] [200/229] learning_rate: 0.007439 loss_vfl: 0.806176 loss_bbox: 0.310400 loss_dfl: 0.196190 loss: 1.297453 eta: 5:45:59 batch_cost: 3.3664 data_cost: 0.0024 ips: 38.0232 images/s [10/17 16:12:35] ppdet.engine INFO: Epoch: [273] [220/229] learning_rate: 0.007390 loss_vfl: 0.782473 loss_bbox: 0.317861 loss_dfl: 0.190994 loss: 1.290390 eta: 5:44:50 batch_cost: 3.2790 data_cost: 0.0024 ips: 39.0368 images/s [10/17 16:13:30] ppdet.engine INFO: Epoch: [274] [ 0/229] learning_rate: 0.007367 loss_vfl: 0.794490 loss_bbox: 0.304642 loss_dfl: 0.187445 loss: 1.278246 eta: 5:44:20 batch_cost: 4.2581 data_cost: 0.7411 ips: 30.0603 images/s [10/17 16:14:43] ppdet.engine INFO: Epoch: [274] [ 20/229] learning_rate: 0.007318 loss_vfl: 0.780323 loss_bbox: 0.317960 loss_dfl: 0.196906 loss: 1.303274 eta: 5:43:11 batch_cost: 3.5218 data_cost: 0.0026 ips: 36.3449 images/s [10/17 16:15:53] ppdet.engine INFO: Epoch: [274] [ 40/229] learning_rate: 0.007269 loss_vfl: 0.773548 loss_bbox: 0.296054 loss_dfl: 0.189431 loss: 1.268555 eta: 5:42:01 batch_cost: 3.3666 data_cost: 0.0025 ips: 38.0207 images/s [10/17 16:17:02] ppdet.engine INFO: Epoch: [274] [ 60/229] learning_rate: 0.007221 loss_vfl: 0.778885 loss_bbox: 0.304514 loss_dfl: 0.191267 loss: 1.276942 eta: 5:40:51 batch_cost: 3.2994 data_cost: 0.0024 ips: 38.7954 images/s [10/17 16:18:12] ppdet.engine INFO: Epoch: [274] [ 80/229] learning_rate: 0.007172 loss_vfl: 0.786549 loss_bbox: 0.319504 loss_dfl: 0.203666 loss: 1.307065 eta: 5:39:42 batch_cost: 3.3286 data_cost: 0.0024 ips: 38.4545 images/s [10/17 16:19:23] ppdet.engine INFO: Epoch: [274] [100/229] learning_rate: 0.007124 loss_vfl: 0.784809 loss_bbox: 0.312423 loss_dfl: 0.196703 loss: 1.297330 eta: 5:38:32 batch_cost: 3.4182 data_cost: 0.0024 ips: 37.4470 images/s [10/17 16:20:36] ppdet.engine INFO: Epoch: [274] [120/229] learning_rate: 0.007075 loss_vfl: 0.791022 loss_bbox: 0.307830 loss_dfl: 0.195582 loss: 1.293318 eta: 5:37:23 batch_cost: 3.4797 data_cost: 0.0024 ips: 36.7845 images/s [10/17 16:21:48] ppdet.engine INFO: Epoch: [274] [140/229] learning_rate: 0.007027 loss_vfl: 0.792546 loss_bbox: 0.303661 loss_dfl: 0.193170 loss: 1.296753 eta: 5:36:14 batch_cost: 3.4708 data_cost: 0.0024 ips: 36.8786 images/s [10/17 16:22:58] ppdet.engine INFO: Epoch: [274] [160/229] learning_rate: 0.006979 loss_vfl: 0.792172 loss_bbox: 0.295841 loss_dfl: 0.191003 loss: 1.281530 eta: 5:35:04 batch_cost: 3.3525 data_cost: 0.0024 ips: 38.1804 images/s [10/17 16:24:09] ppdet.engine INFO: Epoch: [274] [180/229] learning_rate: 0.006931 loss_vfl: 0.785058 loss_bbox: 0.303402 loss_dfl: 0.193210 loss: 1.271822 eta: 5:33:54 batch_cost: 3.3784 data_cost: 0.0025 ips: 37.8882 images/s [10/17 16:25:21] ppdet.engine INFO: Epoch: [274] [200/229] learning_rate: 0.006884 loss_vfl: 0.787915 loss_bbox: 0.304939 loss_dfl: 0.192177 loss: 1.286736 eta: 5:32:45 batch_cost: 3.4696 data_cost: 0.0024 ips: 36.8915 images/s [10/17 16:26:27] ppdet.engine INFO: Epoch: [274] [220/229] learning_rate: 0.006836 loss_vfl: 0.784207 loss_bbox: 0.305806 loss_dfl: 0.192156 loss: 1.289138 eta: 5:31:35 batch_cost: 3.1748 data_cost: 0.0025 ips: 40.3169 images/s [10/17 16:27:18] ppdet.engine INFO: Epoch: [275] [ 0/229] learning_rate: 0.006815 loss_vfl: 0.784388 loss_bbox: 0.304061 loss_dfl: 0.190434 loss: 1.284150 eta: 5:31:05 batch_cost: 3.9584 data_cost: 0.5032 ips: 32.3359 images/s [10/17 16:28:30] ppdet.engine INFO: Epoch: [275] [ 20/229] learning_rate: 0.006768 loss_vfl: 0.787829 loss_bbox: 0.302764 loss_dfl: 0.191885 loss: 1.275146 eta: 5:29:56 batch_cost: 3.4397 data_cost: 0.0025 ips: 37.2124 images/s [10/17 16:29:43] ppdet.engine INFO: Epoch: [275] [ 40/229] learning_rate: 0.006720 loss_vfl: 0.807136 loss_bbox: 0.304176 loss_dfl: 0.192751 loss: 1.304514 eta: 5:28:46 batch_cost: 3.4927 data_cost: 0.0025 ips: 36.6482 images/s [10/17 16:30:53] ppdet.engine INFO: Epoch: [275] [ 60/229] learning_rate: 0.006674 loss_vfl: 0.784827 loss_bbox: 0.306562 loss_dfl: 0.192336 loss: 1.279786 eta: 5:27:37 batch_cost: 3.3542 data_cost: 0.0025 ips: 38.1610 images/s [10/17 16:32:03] ppdet.engine INFO: Epoch: [275] [ 80/229] learning_rate: 0.006627 loss_vfl: 0.795656 loss_bbox: 0.293325 loss_dfl: 0.189219 loss: 1.272832 eta: 5:26:27 batch_cost: 3.3686 data_cost: 0.0032 ips: 37.9977 images/s [10/17 16:33:13] ppdet.engine INFO: Epoch: [275] [100/229] learning_rate: 0.006580 loss_vfl: 0.793680 loss_bbox: 0.301822 loss_dfl: 0.193505 loss: 1.286354 eta: 5:25:18 batch_cost: 3.3398 data_cost: 0.0024 ips: 38.3256 images/s [10/17 16:34:23] ppdet.engine INFO: Epoch: [275] [120/229] learning_rate: 0.006534 loss_vfl: 0.785108 loss_bbox: 0.311688 loss_dfl: 0.196182 loss: 1.291349 eta: 5:24:08 batch_cost: 3.3731 data_cost: 0.0024 ips: 37.9468 images/s [10/17 16:35:37] ppdet.engine INFO: Epoch: [275] [140/229] learning_rate: 0.006487 loss_vfl: 0.791844 loss_bbox: 0.312159 loss_dfl: 0.197992 loss: 1.303385 eta: 5:22:59 batch_cost: 3.5097 data_cost: 0.0026 ips: 36.4707 images/s [10/17 16:36:47] ppdet.engine INFO: Epoch: [275] [160/229] learning_rate: 0.006441 loss_vfl: 0.786683 loss_bbox: 0.305445 loss_dfl: 0.186666 loss: 1.274835 eta: 5:21:49 batch_cost: 3.3753 data_cost: 0.0024 ips: 37.9230 images/s [10/17 16:37:58] ppdet.engine INFO: Epoch: [275] [180/229] learning_rate: 0.006395 loss_vfl: 0.785536 loss_bbox: 0.312133 loss_dfl: 0.200823 loss: 1.303131 eta: 5:20:39 batch_cost: 3.3808 data_cost: 0.0025 ips: 37.8608 images/s [10/17 16:39:09] ppdet.engine INFO: Epoch: [275] [200/229] learning_rate: 0.006349 loss_vfl: 0.774568 loss_bbox: 0.302835 loss_dfl: 0.191384 loss: 1.287629 eta: 5:19:30 batch_cost: 3.4424 data_cost: 0.0025 ips: 37.1833 images/s [10/17 16:40:18] ppdet.engine INFO: Epoch: [275] [220/229] learning_rate: 0.006304 loss_vfl: 0.790488 loss_bbox: 0.303536 loss_dfl: 0.190905 loss: 1.277762 eta: 5:18:20 batch_cost: 3.2961 data_cost: 0.0024 ips: 38.8338 images/s [10/17 16:41:10] ppdet.engine INFO: Epoch: [276] [ 0/229] learning_rate: 0.006283 loss_vfl: 0.795407 loss_bbox: 0.311742 loss_dfl: 0.191361 loss: 1.292151 eta: 5:17:50 batch_cost: 4.0501 data_cost: 0.6346 ips: 31.6040 images/s [10/17 16:42:22] ppdet.engine INFO: Epoch: [276] [ 20/229] learning_rate: 0.006238 loss_vfl: 0.776439 loss_bbox: 0.304514 loss_dfl: 0.189705 loss: 1.273918 eta: 5:16:41 batch_cost: 3.4572 data_cost: 0.0041 ips: 37.0239 images/s [10/17 16:43:34] ppdet.engine INFO: Epoch: [276] [ 40/229] learning_rate: 0.006193 loss_vfl: 0.797168 loss_bbox: 0.301499 loss_dfl: 0.189067 loss: 1.283900 eta: 5:15:32 batch_cost: 3.4448 data_cost: 0.0027 ips: 37.1572 images/s [10/17 16:44:44] ppdet.engine INFO: Epoch: [276] [ 60/229] learning_rate: 0.006148 loss_vfl: 0.788515 loss_bbox: 0.311744 loss_dfl: 0.192863 loss: 1.281921 eta: 5:14:22 batch_cost: 3.3547 data_cost: 0.0024 ips: 38.1553 images/s [10/17 16:45:54] ppdet.engine INFO: Epoch: [276] [ 80/229] learning_rate: 0.006103 loss_vfl: 0.780007 loss_bbox: 0.292331 loss_dfl: 0.190558 loss: 1.273823 eta: 5:13:12 batch_cost: 3.3561 data_cost: 0.0027 ips: 38.1395 images/s [10/17 16:47:05] ppdet.engine INFO: Epoch: [276] [100/229] learning_rate: 0.006058 loss_vfl: 0.784975 loss_bbox: 0.303782 loss_dfl: 0.193708 loss: 1.289924 eta: 5:12:03 batch_cost: 3.4190 data_cost: 0.0024 ips: 37.4383 images/s [10/17 16:48:16] ppdet.engine INFO: Epoch: [276] [120/229] learning_rate: 0.006013 loss_vfl: 0.788549 loss_bbox: 0.297136 loss_dfl: 0.192408 loss: 1.286419 eta: 5:10:53 batch_cost: 3.4020 data_cost: 0.0026 ips: 37.6244 images/s [10/17 16:49:28] ppdet.engine INFO: Epoch: [276] [140/229] learning_rate: 0.005969 loss_vfl: 0.783427 loss_bbox: 0.300842 loss_dfl: 0.188096 loss: 1.276344 eta: 5:09:44 batch_cost: 3.4145 data_cost: 0.0025 ips: 37.4872 images/s [10/17 16:50:40] ppdet.engine INFO: Epoch: [276] [160/229] learning_rate: 0.005925 loss_vfl: 0.783138 loss_bbox: 0.319156 loss_dfl: 0.195207 loss: 1.302756 eta: 5:08:34 batch_cost: 3.4504 data_cost: 0.0026 ips: 37.0968 images/s [10/17 16:51:51] ppdet.engine INFO: Epoch: [276] [180/229] learning_rate: 0.005881 loss_vfl: 0.788010 loss_bbox: 0.305748 loss_dfl: 0.191680 loss: 1.283688 eta: 5:07:25 batch_cost: 3.4070 data_cost: 0.0035 ips: 37.5702 images/s [10/17 16:53:02] ppdet.engine INFO: Epoch: [276] [200/229] learning_rate: 0.005837 loss_vfl: 0.776280 loss_bbox: 0.293730 loss_dfl: 0.188981 loss: 1.272437 eta: 5:06:15 batch_cost: 3.3895 data_cost: 0.0025 ips: 37.7632 images/s [10/17 16:54:10] ppdet.engine INFO: Epoch: [276] [220/229] learning_rate: 0.005793 loss_vfl: 0.797271 loss_bbox: 0.294706 loss_dfl: 0.189110 loss: 1.293648 eta: 5:05:06 batch_cost: 3.2597 data_cost: 0.0024 ips: 39.2674 images/s [10/17 16:55:02] ppdet.engine INFO: Epoch: [277] [ 0/229] learning_rate: 0.005773 loss_vfl: 0.794836 loss_bbox: 0.294338 loss_dfl: 0.188501 loss: 1.276492 eta: 5:04:36 batch_cost: 4.1325 data_cost: 0.6120 ips: 30.9741 images/s [10/17 16:56:15] ppdet.engine INFO: Epoch: [277] [ 20/229] learning_rate: 0.005730 loss_vfl: 0.792336 loss_bbox: 0.310234 loss_dfl: 0.188199 loss: 1.295996 eta: 5:03:26 batch_cost: 3.4632 data_cost: 0.0031 ips: 36.9601 images/s [10/17 16:57:28] ppdet.engine INFO: Epoch: [277] [ 40/229] learning_rate: 0.005686 loss_vfl: 0.784812 loss_bbox: 0.307638 loss_dfl: 0.189956 loss: 1.284858 eta: 5:02:17 batch_cost: 3.5151 data_cost: 0.0026 ips: 36.4144 images/s [10/17 16:58:41] ppdet.engine INFO: Epoch: [277] [ 60/229] learning_rate: 0.005643 loss_vfl: 0.776112 loss_bbox: 0.306916 loss_dfl: 0.192076 loss: 1.269102 eta: 5:01:08 batch_cost: 3.5206 data_cost: 0.0027 ips: 36.3571 images/s [10/17 16:59:53] ppdet.engine INFO: Epoch: [277] [ 80/229] learning_rate: 0.005600 loss_vfl: 0.800563 loss_bbox: 0.303139 loss_dfl: 0.197651 loss: 1.288477 eta: 4:59:58 batch_cost: 3.4614 data_cost: 0.0025 ips: 36.9795 images/s [10/17 17:01:06] ppdet.engine INFO: Epoch: [277] [100/229] learning_rate: 0.005557 loss_vfl: 0.796234 loss_bbox: 0.312233 loss_dfl: 0.198469 loss: 1.311002 eta: 4:58:49 batch_cost: 3.5047 data_cost: 0.0025 ips: 36.5220 images/s [10/17 17:02:19] ppdet.engine INFO: Epoch: [277] [120/229] learning_rate: 0.005514 loss_vfl: 0.787539 loss_bbox: 0.292252 loss_dfl: 0.187601 loss: 1.259836 eta: 4:57:40 batch_cost: 3.4724 data_cost: 0.0025 ips: 36.8621 images/s [10/17 17:03:29] ppdet.engine INFO: Epoch: [277] [140/229] learning_rate: 0.005472 loss_vfl: 0.781970 loss_bbox: 0.290889 loss_dfl: 0.188017 loss: 1.267380 eta: 4:56:30 batch_cost: 3.3463 data_cost: 0.0025 ips: 38.2518 images/s [10/17 17:04:39] ppdet.engine INFO: Epoch: [277] [160/229] learning_rate: 0.005429 loss_vfl: 0.785595 loss_bbox: 0.328172 loss_dfl: 0.194784 loss: 1.304565 eta: 4:55:21 batch_cost: 3.3909 data_cost: 0.0025 ips: 37.7477 images/s [10/17 17:05:51] ppdet.engine INFO: Epoch: [277] [180/229] learning_rate: 0.005387 loss_vfl: 0.790378 loss_bbox: 0.309007 loss_dfl: 0.196786 loss: 1.285821 eta: 4:54:11 batch_cost: 3.4152 data_cost: 0.0026 ips: 37.4797 images/s [10/17 17:07:01] ppdet.engine INFO: Epoch: [277] [200/229] learning_rate: 0.005345 loss_vfl: 0.781890 loss_bbox: 0.295262 loss_dfl: 0.195009 loss: 1.273122 eta: 4:53:01 batch_cost: 3.3393 data_cost: 0.0025 ips: 38.3318 images/s [10/17 17:08:07] ppdet.engine INFO: Epoch: [277] [220/229] learning_rate: 0.005303 loss_vfl: 0.795983 loss_bbox: 0.308024 loss_dfl: 0.195017 loss: 1.296659 eta: 4:51:52 batch_cost: 3.1805 data_cost: 0.0029 ips: 40.2455 images/s [10/17 17:08:58] ppdet.engine INFO: Epoch: [278] [ 0/229] learning_rate: 0.005284 loss_vfl: 0.785732 loss_bbox: 0.309279 loss_dfl: 0.197632 loss: 1.293530 eta: 4:51:22 batch_cost: 3.9500 data_cost: 0.4581 ips: 32.4048 images/s [10/17 17:10:11] ppdet.engine INFO: Epoch: [278] [ 20/229] learning_rate: 0.005243 loss_vfl: 0.786417 loss_bbox: 0.296589 loss_dfl: 0.188593 loss: 1.270288 eta: 4:50:12 batch_cost: 3.5072 data_cost: 0.0026 ips: 36.4960 images/s [10/17 17:11:22] ppdet.engine INFO: Epoch: [278] [ 40/229] learning_rate: 0.005201 loss_vfl: 0.793676 loss_bbox: 0.308950 loss_dfl: 0.202554 loss: 1.310015 eta: 4:49:03 batch_cost: 3.3963 data_cost: 0.0026 ips: 37.6881 images/s [10/17 17:12:33] ppdet.engine INFO: Epoch: [278] [ 60/229] learning_rate: 0.005160 loss_vfl: 0.799069 loss_bbox: 0.302220 loss_dfl: 0.196354 loss: 1.302279 eta: 4:47:53 batch_cost: 3.3939 data_cost: 0.0028 ips: 37.7145 images/s [10/17 17:13:45] ppdet.engine INFO: Epoch: [278] [ 80/229] learning_rate: 0.005118 loss_vfl: 0.792083 loss_bbox: 0.307416 loss_dfl: 0.189653 loss: 1.275409 eta: 4:46:44 batch_cost: 3.4388 data_cost: 0.0024 ips: 37.2225 images/s [10/17 17:14:55] ppdet.engine INFO: Epoch: [278] [100/229] learning_rate: 0.005077 loss_vfl: 0.796117 loss_bbox: 0.309856 loss_dfl: 0.194368 loss: 1.302010 eta: 4:45:34 batch_cost: 3.3953 data_cost: 0.0040 ips: 37.6991 images/s [10/17 17:16:07] ppdet.engine INFO: Epoch: [278] [120/229] learning_rate: 0.005037 loss_vfl: 0.785940 loss_bbox: 0.294262 loss_dfl: 0.186580 loss: 1.265865 eta: 4:44:25 batch_cost: 3.4365 data_cost: 0.0032 ips: 37.2467 images/s [10/17 17:17:19] ppdet.engine INFO: Epoch: [278] [140/229] learning_rate: 0.004996 loss_vfl: 0.781270 loss_bbox: 0.308084 loss_dfl: 0.200390 loss: 1.286351 eta: 4:43:15 batch_cost: 3.4588 data_cost: 0.0025 ips: 37.0065 images/s [10/17 17:18:29] ppdet.engine INFO: Epoch: [278] [160/229] learning_rate: 0.004955 loss_vfl: 0.787788 loss_bbox: 0.302894 loss_dfl: 0.191663 loss: 1.281246 eta: 4:42:06 batch_cost: 3.3332 data_cost: 0.0025 ips: 38.4020 images/s [10/17 17:19:41] ppdet.engine INFO: Epoch: [278] [180/229] learning_rate: 0.004915 loss_vfl: 0.782975 loss_bbox: 0.297134 loss_dfl: 0.189959 loss: 1.279498 eta: 4:40:56 batch_cost: 3.4762 data_cost: 0.0026 ips: 36.8217 images/s [10/17 17:20:54] ppdet.engine INFO: Epoch: [278] [200/229] learning_rate: 0.004875 loss_vfl: 0.784309 loss_bbox: 0.301185 loss_dfl: 0.189145 loss: 1.280437 eta: 4:39:47 batch_cost: 3.4869 data_cost: 0.0024 ips: 36.7089 images/s [10/17 17:22:02] ppdet.engine INFO: Epoch: [278] [220/229] learning_rate: 0.004835 loss_vfl: 0.794424 loss_bbox: 0.310621 loss_dfl: 0.191626 loss: 1.295237 eta: 4:38:37 batch_cost: 3.2601 data_cost: 0.0023 ips: 39.2628 images/s [10/17 17:22:56] ppdet.engine INFO: Epoch: [279] [ 0/229] learning_rate: 0.004817 loss_vfl: 0.795971 loss_bbox: 0.305585 loss_dfl: 0.195925 loss: 1.290310 eta: 4:38:07 batch_cost: 4.1681 data_cost: 0.6142 ips: 30.7092 images/s [10/17 17:24:09] ppdet.engine INFO: Epoch: [279] [ 20/229] learning_rate: 0.004777 loss_vfl: 0.794911 loss_bbox: 0.320295 loss_dfl: 0.198233 loss: 1.301126 eta: 4:36:58 batch_cost: 3.4768 data_cost: 0.0026 ips: 36.8149 images/s [10/17 17:25:19] ppdet.engine INFO: Epoch: [279] [ 40/229] learning_rate: 0.004737 loss_vfl: 0.795843 loss_bbox: 0.316926 loss_dfl: 0.194455 loss: 1.309777 eta: 4:35:48 batch_cost: 3.3857 data_cost: 0.0024 ips: 37.8063 images/s [10/17 17:26:32] ppdet.engine INFO: Epoch: [279] [ 60/229] learning_rate: 0.004698 loss_vfl: 0.788121 loss_bbox: 0.312015 loss_dfl: 0.198599 loss: 1.290299 eta: 4:34:39 batch_cost: 3.5041 data_cost: 0.0025 ips: 36.5285 images/s [10/17 17:27:44] ppdet.engine INFO: Epoch: [279] [ 80/229] learning_rate: 0.004658 loss_vfl: 0.786457 loss_bbox: 0.297123 loss_dfl: 0.193044 loss: 1.283903 eta: 4:33:30 batch_cost: 3.4257 data_cost: 0.0024 ips: 37.3648 images/s [10/17 17:28:55] ppdet.engine INFO: Epoch: [279] [100/229] learning_rate: 0.004619 loss_vfl: 0.791940 loss_bbox: 0.308392 loss_dfl: 0.195973 loss: 1.303102 eta: 4:32:20 batch_cost: 3.3833 data_cost: 0.0025 ips: 37.8331 images/s [10/17 17:30:04] ppdet.engine INFO: Epoch: [279] [120/229] learning_rate: 0.004580 loss_vfl: 0.797502 loss_bbox: 0.294316 loss_dfl: 0.191140 loss: 1.267358 eta: 4:31:10 batch_cost: 3.3451 data_cost: 0.0026 ips: 38.2653 images/s [10/17 17:31:16] ppdet.engine INFO: Epoch: [279] [140/229] learning_rate: 0.004541 loss_vfl: 0.786250 loss_bbox: 0.299784 loss_dfl: 0.185230 loss: 1.273843 eta: 4:30:01 batch_cost: 3.4547 data_cost: 0.0025 ips: 37.0505 images/s [10/17 17:32:27] ppdet.engine INFO: Epoch: [279] [160/229] learning_rate: 0.004503 loss_vfl: 0.792408 loss_bbox: 0.300543 loss_dfl: 0.193249 loss: 1.276509 eta: 4:28:52 batch_cost: 3.3855 data_cost: 0.0024 ips: 37.8084 images/s [10/17 17:33:38] ppdet.engine INFO: Epoch: [279] [180/229] learning_rate: 0.004464 loss_vfl: 0.792450 loss_bbox: 0.292239 loss_dfl: 0.185682 loss: 1.272867 eta: 4:27:42 batch_cost: 3.3915 data_cost: 0.0023 ips: 37.7417 images/s [10/17 17:34:47] ppdet.engine INFO: Epoch: [279] [200/229] learning_rate: 0.004426 loss_vfl: 0.792550 loss_bbox: 0.298972 loss_dfl: 0.189091 loss: 1.282630 eta: 4:26:32 batch_cost: 3.3143 data_cost: 0.0024 ips: 38.6203 images/s [10/17 17:35:57] ppdet.engine INFO: Epoch: [279] [220/229] learning_rate: 0.004388 loss_vfl: 0.787016 loss_bbox: 0.305375 loss_dfl: 0.192489 loss: 1.287821 eta: 4:25:23 batch_cost: 3.3192 data_cost: 0.0034 ips: 38.5640 images/s [10/17 17:36:25] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 17:36:26] ppdet.engine INFO: Eval iter: 0 [10/17 17:37:04] ppdet.engine INFO: Eval iter: 100 [10/17 17:37:27] ppdet.engine INFO: Eval iter: 200 [10/17 17:37:49] ppdet.engine INFO: Eval iter: 300 [10/17 17:38:11] ppdet.engine INFO: Eval iter: 400 [10/17 17:38:33] ppdet.engine INFO: Eval iter: 500 [10/17 17:38:55] ppdet.engine INFO: Eval iter: 600 [10/17 17:39:15] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.64s) creating index... index created! [10/17 17:39:16] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.74s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=95.96s). Accumulating evaluation results... DONE (t=16.55s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.270 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.414 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.278 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.076 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.269 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.470 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 ] = 0.394 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 ] = 0.142 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.469 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.681 [10/17 17:41:15] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.932515372640687 [10/17 17:41:15] ppdet.engine INFO: Best test bbox ap is 0.271. [10/17 17:41:18] ppdet.engine INFO: Epoch: [280] [ 0/229] learning_rate: 0.004370 loss_vfl: 0.788138 loss_bbox: 0.307881 loss_dfl: 0.185158 loss: 1.300153 eta: 4:24:51 batch_cost: 3.1385 data_cost: 0.0025 ips: 40.7840 images/s [10/17 17:42:30] ppdet.engine INFO: Epoch: [280] [ 20/229] learning_rate: 0.004333 loss_vfl: 0.784367 loss_bbox: 0.307905 loss_dfl: 0.189492 loss: 1.284743 eta: 4:23:42 batch_cost: 3.4677 data_cost: 0.0027 ips: 36.9118 images/s [10/17 17:43:41] ppdet.engine INFO: Epoch: [280] [ 40/229] learning_rate: 0.004295 loss_vfl: 0.780916 loss_bbox: 0.303198 loss_dfl: 0.187345 loss: 1.279396 eta: 4:22:32 batch_cost: 3.3980 data_cost: 0.0025 ips: 37.6690 images/s [10/17 17:44:52] ppdet.engine INFO: Epoch: [280] [ 60/229] learning_rate: 0.004257 loss_vfl: 0.778109 loss_bbox: 0.312231 loss_dfl: 0.193586 loss: 1.290902 eta: 4:21:23 batch_cost: 3.3676 data_cost: 0.0025 ips: 38.0087 images/s [10/17 17:46:03] ppdet.engine INFO: Epoch: [280] [ 80/229] learning_rate: 0.004220 loss_vfl: 0.783709 loss_bbox: 0.293612 loss_dfl: 0.190706 loss: 1.285693 eta: 4:20:13 batch_cost: 3.4368 data_cost: 0.0024 ips: 37.2437 images/s [10/17 17:47:13] ppdet.engine INFO: Epoch: [280] [100/229] learning_rate: 0.004182 loss_vfl: 0.777896 loss_bbox: 0.305754 loss_dfl: 0.195199 loss: 1.272711 eta: 4:19:04 batch_cost: 3.3473 data_cost: 0.0025 ips: 38.2397 images/s [10/17 17:48:25] ppdet.engine INFO: Epoch: [280] [120/229] learning_rate: 0.004145 loss_vfl: 0.782081 loss_bbox: 0.301274 loss_dfl: 0.189737 loss: 1.279185 eta: 4:17:54 batch_cost: 3.4113 data_cost: 0.0024 ips: 37.5221 images/s [10/17 17:49:35] ppdet.engine INFO: Epoch: [280] [140/229] learning_rate: 0.004108 loss_vfl: 0.780750 loss_bbox: 0.310477 loss_dfl: 0.192982 loss: 1.282987 eta: 4:16:45 batch_cost: 3.3664 data_cost: 0.0024 ips: 38.0229 images/s [10/17 17:50:45] ppdet.engine INFO: Epoch: [280] [160/229] learning_rate: 0.004071 loss_vfl: 0.796076 loss_bbox: 0.303266 loss_dfl: 0.194513 loss: 1.295271 eta: 4:15:35 batch_cost: 3.3463 data_cost: 0.0023 ips: 38.2514 images/s [10/17 17:51:55] ppdet.engine INFO: Epoch: [280] [180/229] learning_rate: 0.004035 loss_vfl: 0.777752 loss_bbox: 0.308498 loss_dfl: 0.192406 loss: 1.271283 eta: 4:14:26 batch_cost: 3.3775 data_cost: 0.0024 ips: 37.8982 images/s [10/17 17:53:06] ppdet.engine INFO: Epoch: [280] [200/229] learning_rate: 0.003998 loss_vfl: 0.780917 loss_bbox: 0.305948 loss_dfl: 0.190558 loss: 1.275814 eta: 4:13:16 batch_cost: 3.3964 data_cost: 0.0024 ips: 37.6872 images/s [10/17 17:54:13] ppdet.engine INFO: Epoch: [280] [220/229] learning_rate: 0.003962 loss_vfl: 0.788756 loss_bbox: 0.293629 loss_dfl: 0.190327 loss: 1.276308 eta: 4:12:06 batch_cost: 3.1944 data_cost: 0.0024 ips: 40.0695 images/s [10/17 17:55:05] ppdet.engine INFO: Epoch: [281] [ 0/229] learning_rate: 0.003946 loss_vfl: 0.791287 loss_bbox: 0.299546 loss_dfl: 0.191026 loss: 1.288813 eta: 4:11:36 batch_cost: 4.0293 data_cost: 0.5073 ips: 31.7676 images/s [10/17 17:56:17] ppdet.engine INFO: Epoch: [281] [ 20/229] learning_rate: 0.003910 loss_vfl: 0.771945 loss_bbox: 0.313557 loss_dfl: 0.197353 loss: 1.289970 eta: 4:10:27 batch_cost: 3.4713 data_cost: 0.0026 ips: 36.8740 images/s [10/17 17:57:30] ppdet.engine INFO: Epoch: [281] [ 40/229] learning_rate: 0.003874 loss_vfl: 0.783837 loss_bbox: 0.297671 loss_dfl: 0.187437 loss: 1.262726 eta: 4:09:18 batch_cost: 3.4989 data_cost: 0.0025 ips: 36.5832 images/s [10/17 17:58:42] ppdet.engine INFO: Epoch: [281] [ 60/229] learning_rate: 0.003838 loss_vfl: 0.796425 loss_bbox: 0.299159 loss_dfl: 0.189037 loss: 1.289804 eta: 4:08:08 batch_cost: 3.4444 data_cost: 0.0025 ips: 37.1619 images/s [10/17 17:59:54] ppdet.engine INFO: Epoch: [281] [ 80/229] learning_rate: 0.003802 loss_vfl: 0.794447 loss_bbox: 0.292322 loss_dfl: 0.185574 loss: 1.271883 eta: 4:06:59 batch_cost: 3.4427 data_cost: 0.0027 ips: 37.1806 images/s [10/17 18:01:04] ppdet.engine INFO: Epoch: [281] [100/229] learning_rate: 0.003767 loss_vfl: 0.788385 loss_bbox: 0.309038 loss_dfl: 0.195371 loss: 1.299127 eta: 4:05:49 batch_cost: 3.3124 data_cost: 0.0024 ips: 38.6428 images/s [10/17 18:02:14] ppdet.engine INFO: Epoch: [281] [120/229] learning_rate: 0.003732 loss_vfl: 0.785365 loss_bbox: 0.305795 loss_dfl: 0.191794 loss: 1.283693 eta: 4:04:40 batch_cost: 3.3833 data_cost: 0.0024 ips: 37.8334 images/s [10/17 18:03:24] ppdet.engine INFO: Epoch: [281] [140/229] learning_rate: 0.003697 loss_vfl: 0.782736 loss_bbox: 0.322170 loss_dfl: 0.198115 loss: 1.305691 eta: 4:03:30 batch_cost: 3.3368 data_cost: 0.0023 ips: 38.3601 images/s [10/17 18:04:36] ppdet.engine INFO: Epoch: [281] [160/229] learning_rate: 0.003662 loss_vfl: 0.779988 loss_bbox: 0.307707 loss_dfl: 0.195134 loss: 1.277176 eta: 4:02:21 batch_cost: 3.4698 data_cost: 0.0024 ips: 36.8895 images/s [10/17 18:05:46] ppdet.engine INFO: Epoch: [281] [180/229] learning_rate: 0.003627 loss_vfl: 0.795160 loss_bbox: 0.293317 loss_dfl: 0.185519 loss: 1.282264 eta: 4:01:11 batch_cost: 3.3551 data_cost: 0.0024 ips: 38.1509 images/s [10/17 18:06:57] ppdet.engine INFO: Epoch: [281] [200/229] learning_rate: 0.003592 loss_vfl: 0.783167 loss_bbox: 0.301818 loss_dfl: 0.190119 loss: 1.265897 eta: 4:00:02 batch_cost: 3.3897 data_cost: 0.0024 ips: 37.7611 images/s [10/17 18:08:06] ppdet.engine INFO: Epoch: [281] [220/229] learning_rate: 0.003558 loss_vfl: 0.791703 loss_bbox: 0.305042 loss_dfl: 0.191131 loss: 1.286185 eta: 3:58:52 batch_cost: 3.2973 data_cost: 0.0023 ips: 38.8200 images/s [10/17 18:09:01] ppdet.engine INFO: Epoch: [282] [ 0/229] learning_rate: 0.003543 loss_vfl: 0.792759 loss_bbox: 0.302799 loss_dfl: 0.194830 loss: 1.283170 eta: 3:58:22 batch_cost: 4.2786 data_cost: 0.5984 ips: 29.9166 images/s [10/17 18:10:16] ppdet.engine INFO: Epoch: [282] [ 20/229] learning_rate: 0.003508 loss_vfl: 0.779178 loss_bbox: 0.289478 loss_dfl: 0.182878 loss: 1.255758 eta: 3:57:13 batch_cost: 3.5744 data_cost: 0.0026 ips: 35.8102 images/s [10/17 18:11:28] ppdet.engine INFO: Epoch: [282] [ 40/229] learning_rate: 0.003474 loss_vfl: 0.792840 loss_bbox: 0.299201 loss_dfl: 0.196652 loss: 1.290234 eta: 3:56:03 batch_cost: 3.4776 data_cost: 0.0024 ips: 36.8066 images/s [10/17 18:12:40] ppdet.engine INFO: Epoch: [282] [ 60/229] learning_rate: 0.003440 loss_vfl: 0.788641 loss_bbox: 0.299480 loss_dfl: 0.195909 loss: 1.284888 eta: 3:54:54 batch_cost: 3.4505 data_cost: 0.0025 ips: 37.0957 images/s [10/17 18:13:51] ppdet.engine INFO: Epoch: [282] [ 80/229] learning_rate: 0.003407 loss_vfl: 0.795254 loss_bbox: 0.313423 loss_dfl: 0.200166 loss: 1.309139 eta: 3:53:44 batch_cost: 3.3683 data_cost: 0.0024 ips: 38.0009 images/s [10/17 18:15:03] ppdet.engine INFO: Epoch: [282] [100/229] learning_rate: 0.003373 loss_vfl: 0.786090 loss_bbox: 0.293198 loss_dfl: 0.186803 loss: 1.264921 eta: 3:52:35 batch_cost: 3.4710 data_cost: 0.0025 ips: 36.8768 images/s [10/17 18:16:15] ppdet.engine INFO: Epoch: [282] [120/229] learning_rate: 0.003340 loss_vfl: 0.787455 loss_bbox: 0.288301 loss_dfl: 0.183772 loss: 1.255778 eta: 3:51:26 batch_cost: 3.4565 data_cost: 0.0024 ips: 37.0317 images/s [10/17 18:17:27] ppdet.engine INFO: Epoch: [282] [140/229] learning_rate: 0.003307 loss_vfl: 0.791972 loss_bbox: 0.302795 loss_dfl: 0.194367 loss: 1.288578 eta: 3:50:16 batch_cost: 3.4520 data_cost: 0.0025 ips: 37.0799 images/s [10/17 18:18:39] ppdet.engine INFO: Epoch: [282] [160/229] learning_rate: 0.003274 loss_vfl: 0.788153 loss_bbox: 0.300405 loss_dfl: 0.192213 loss: 1.276060 eta: 3:49:07 batch_cost: 3.4268 data_cost: 0.0030 ips: 37.3522 images/s [10/17 18:19:51] ppdet.engine INFO: Epoch: [282] [180/229] learning_rate: 0.003241 loss_vfl: 0.790947 loss_bbox: 0.294153 loss_dfl: 0.194297 loss: 1.280541 eta: 3:47:57 batch_cost: 3.4726 data_cost: 0.0024 ips: 36.8596 images/s [10/17 18:21:03] ppdet.engine INFO: Epoch: [282] [200/229] learning_rate: 0.003208 loss_vfl: 0.781753 loss_bbox: 0.297733 loss_dfl: 0.191643 loss: 1.281824 eta: 3:46:48 batch_cost: 3.4262 data_cost: 0.0024 ips: 37.3593 images/s [10/17 18:22:12] ppdet.engine INFO: Epoch: [282] [220/229] learning_rate: 0.003175 loss_vfl: 0.788035 loss_bbox: 0.299721 loss_dfl: 0.185434 loss: 1.255664 eta: 3:45:38 batch_cost: 3.2860 data_cost: 0.0024 ips: 38.9533 images/s [10/17 18:23:04] ppdet.engine INFO: Epoch: [283] [ 0/229] learning_rate: 0.003161 loss_vfl: 0.790303 loss_bbox: 0.301595 loss_dfl: 0.184644 loss: 1.263823 eta: 3:45:08 batch_cost: 4.1062 data_cost: 0.4341 ips: 31.1725 images/s [10/17 18:24:19] ppdet.engine INFO: Epoch: [283] [ 20/229] learning_rate: 0.003129 loss_vfl: 0.774966 loss_bbox: 0.290611 loss_dfl: 0.185180 loss: 1.247955 eta: 3:43:59 batch_cost: 3.5587 data_cost: 0.0027 ips: 35.9682 images/s [10/17 18:25:32] ppdet.engine INFO: Epoch: [283] [ 40/229] learning_rate: 0.003096 loss_vfl: 0.774183 loss_bbox: 0.311427 loss_dfl: 0.192872 loss: 1.293130 eta: 3:42:49 batch_cost: 3.4808 data_cost: 0.0025 ips: 36.7731 images/s [10/17 18:26:45] ppdet.engine INFO: Epoch: [283] [ 60/229] learning_rate: 0.003064 loss_vfl: 0.779875 loss_bbox: 0.313716 loss_dfl: 0.193797 loss: 1.292186 eta: 3:41:40 batch_cost: 3.5155 data_cost: 0.0024 ips: 36.4107 images/s [10/17 18:27:55] ppdet.engine INFO: Epoch: [283] [ 80/229] learning_rate: 0.003033 loss_vfl: 0.785233 loss_bbox: 0.312404 loss_dfl: 0.196030 loss: 1.291602 eta: 3:40:31 batch_cost: 3.3629 data_cost: 0.0024 ips: 38.0625 images/s [10/17 18:29:05] ppdet.engine INFO: Epoch: [283] [100/229] learning_rate: 0.003001 loss_vfl: 0.795378 loss_bbox: 0.308277 loss_dfl: 0.194288 loss: 1.291172 eta: 3:39:21 batch_cost: 3.3447 data_cost: 0.0025 ips: 38.2700 images/s [10/17 18:30:15] ppdet.engine INFO: Epoch: [283] [120/229] learning_rate: 0.002969 loss_vfl: 0.796435 loss_bbox: 0.295733 loss_dfl: 0.190236 loss: 1.286706 eta: 3:38:11 batch_cost: 3.3732 data_cost: 0.0027 ips: 37.9459 images/s [10/17 18:31:27] ppdet.engine INFO: Epoch: [283] [140/229] learning_rate: 0.002938 loss_vfl: 0.779737 loss_bbox: 0.310127 loss_dfl: 0.197586 loss: 1.286088 eta: 3:37:02 batch_cost: 3.4195 data_cost: 0.0024 ips: 37.4322 images/s [10/17 18:32:38] ppdet.engine INFO: Epoch: [283] [160/229] learning_rate: 0.002907 loss_vfl: 0.778853 loss_bbox: 0.306907 loss_dfl: 0.197368 loss: 1.290587 eta: 3:35:53 batch_cost: 3.4265 data_cost: 0.0024 ips: 37.3554 images/s [10/17 18:33:51] ppdet.engine INFO: Epoch: [283] [180/229] learning_rate: 0.002876 loss_vfl: 0.790190 loss_bbox: 0.305011 loss_dfl: 0.192114 loss: 1.279190 eta: 3:34:43 batch_cost: 3.5185 data_cost: 0.0026 ips: 36.3791 images/s [10/17 18:35:04] ppdet.engine INFO: Epoch: [283] [200/229] learning_rate: 0.002845 loss_vfl: 0.791004 loss_bbox: 0.302822 loss_dfl: 0.193940 loss: 1.285701 eta: 3:33:34 batch_cost: 3.4688 data_cost: 0.0024 ips: 36.9001 images/s [10/17 18:36:14] ppdet.engine INFO: Epoch: [283] [220/229] learning_rate: 0.002815 loss_vfl: 0.785944 loss_bbox: 0.300762 loss_dfl: 0.187510 loss: 1.273757 eta: 3:32:24 batch_cost: 3.3497 data_cost: 0.0024 ips: 38.2124 images/s [10/17 18:37:04] ppdet.engine INFO: Epoch: [284] [ 0/229] learning_rate: 0.002801 loss_vfl: 0.789965 loss_bbox: 0.291634 loss_dfl: 0.183308 loss: 1.273757 eta: 3:31:54 batch_cost: 3.9961 data_cost: 0.4851 ips: 32.0313 images/s [10/17 18:38:18] ppdet.engine INFO: Epoch: [284] [ 20/229] learning_rate: 0.002770 loss_vfl: 0.787007 loss_bbox: 0.301699 loss_dfl: 0.185384 loss: 1.276171 eta: 3:30:44 batch_cost: 3.5146 data_cost: 0.0025 ips: 36.4196 images/s [10/17 18:39:29] ppdet.engine INFO: Epoch: [284] [ 40/229] learning_rate: 0.002740 loss_vfl: 0.786648 loss_bbox: 0.312288 loss_dfl: 0.191438 loss: 1.280581 eta: 3:29:35 batch_cost: 3.4074 data_cost: 0.0025 ips: 37.5654 images/s [10/17 18:40:39] ppdet.engine INFO: Epoch: [284] [ 60/229] learning_rate: 0.002710 loss_vfl: 0.782828 loss_bbox: 0.311065 loss_dfl: 0.192500 loss: 1.279004 eta: 3:28:25 batch_cost: 3.3530 data_cost: 0.0031 ips: 38.1752 images/s [10/17 18:41:51] ppdet.engine INFO: Epoch: [284] [ 80/229] learning_rate: 0.002680 loss_vfl: 0.778074 loss_bbox: 0.300954 loss_dfl: 0.192289 loss: 1.272630 eta: 3:27:16 batch_cost: 3.4401 data_cost: 0.0038 ips: 37.2082 images/s [10/17 18:43:01] ppdet.engine INFO: Epoch: [284] [100/229] learning_rate: 0.002650 loss_vfl: 0.799272 loss_bbox: 0.303465 loss_dfl: 0.193374 loss: 1.286769 eta: 3:26:07 batch_cost: 3.3633 data_cost: 0.0024 ips: 38.0575 images/s [10/17 18:44:10] ppdet.engine INFO: Epoch: [284] [120/229] learning_rate: 0.002621 loss_vfl: 0.777774 loss_bbox: 0.307451 loss_dfl: 0.192735 loss: 1.271912 eta: 3:24:57 batch_cost: 3.3111 data_cost: 0.0025 ips: 38.6574 images/s [10/17 18:45:22] ppdet.engine INFO: Epoch: [284] [140/229] learning_rate: 0.002591 loss_vfl: 0.775654 loss_bbox: 0.306760 loss_dfl: 0.191890 loss: 1.280985 eta: 3:23:48 batch_cost: 3.4483 data_cost: 0.0025 ips: 37.1194 images/s [10/17 18:46:33] ppdet.engine INFO: Epoch: [284] [160/229] learning_rate: 0.002562 loss_vfl: 0.789714 loss_bbox: 0.300514 loss_dfl: 0.188657 loss: 1.268073 eta: 3:22:38 batch_cost: 3.3619 data_cost: 0.0036 ips: 38.0738 images/s [10/17 18:47:44] ppdet.engine INFO: Epoch: [284] [180/229] learning_rate: 0.002533 loss_vfl: 0.778559 loss_bbox: 0.298504 loss_dfl: 0.187603 loss: 1.266496 eta: 3:21:29 batch_cost: 3.4109 data_cost: 0.0025 ips: 37.5269 images/s [10/17 18:48:55] ppdet.engine INFO: Epoch: [284] [200/229] learning_rate: 0.002504 loss_vfl: 0.780266 loss_bbox: 0.317313 loss_dfl: 0.196750 loss: 1.287055 eta: 3:20:19 batch_cost: 3.3953 data_cost: 0.0025 ips: 37.6995 images/s [10/17 18:50:03] ppdet.engine INFO: Epoch: [284] [220/229] learning_rate: 0.002475 loss_vfl: 0.778971 loss_bbox: 0.303499 loss_dfl: 0.187184 loss: 1.266869 eta: 3:19:09 batch_cost: 3.2712 data_cost: 0.0024 ips: 39.1297 images/s [10/17 18:50:56] ppdet.engine INFO: Epoch: [285] [ 0/229] learning_rate: 0.002462 loss_vfl: 0.788090 loss_bbox: 0.303499 loss_dfl: 0.187592 loss: 1.269145 eta: 3:18:39 batch_cost: 4.1312 data_cost: 0.5763 ips: 30.9836 images/s [10/17 18:52:09] ppdet.engine INFO: Epoch: [285] [ 20/229] learning_rate: 0.002434 loss_vfl: 0.796448 loss_bbox: 0.308104 loss_dfl: 0.190122 loss: 1.295824 eta: 3:17:30 batch_cost: 3.4783 data_cost: 0.0032 ips: 36.7993 images/s [10/17 18:53:20] ppdet.engine INFO: Epoch: [285] [ 40/229] learning_rate: 0.002405 loss_vfl: 0.776093 loss_bbox: 0.312442 loss_dfl: 0.194305 loss: 1.289424 eta: 3:16:20 batch_cost: 3.4147 data_cost: 0.0028 ips: 37.4849 images/s [10/17 18:54:30] ppdet.engine INFO: Epoch: [285] [ 60/229] learning_rate: 0.002377 loss_vfl: 0.784901 loss_bbox: 0.308096 loss_dfl: 0.195867 loss: 1.285091 eta: 3:15:11 batch_cost: 3.3554 data_cost: 0.0026 ips: 38.1480 images/s [10/17 18:55:45] ppdet.engine INFO: Epoch: [285] [ 80/229] learning_rate: 0.002349 loss_vfl: 0.778748 loss_bbox: 0.300979 loss_dfl: 0.192621 loss: 1.274563 eta: 3:14:02 batch_cost: 3.5984 data_cost: 0.0026 ips: 35.5714 images/s [10/17 18:56:59] ppdet.engine INFO: Epoch: [285] [100/229] learning_rate: 0.002321 loss_vfl: 0.787452 loss_bbox: 0.294861 loss_dfl: 0.192871 loss: 1.276751 eta: 3:12:52 batch_cost: 3.5153 data_cost: 0.0026 ips: 36.4127 images/s [10/17 18:58:09] ppdet.engine INFO: Epoch: [285] [120/229] learning_rate: 0.002294 loss_vfl: 0.791652 loss_bbox: 0.291037 loss_dfl: 0.188308 loss: 1.262112 eta: 3:11:43 batch_cost: 3.3506 data_cost: 0.0024 ips: 38.2020 images/s [10/17 18:59:20] ppdet.engine INFO: Epoch: [285] [140/229] learning_rate: 0.002266 loss_vfl: 0.784029 loss_bbox: 0.303257 loss_dfl: 0.190686 loss: 1.274165 eta: 3:10:33 batch_cost: 3.4030 data_cost: 0.0025 ips: 37.6137 images/s [10/17 19:00:31] ppdet.engine INFO: Epoch: [285] [160/229] learning_rate: 0.002239 loss_vfl: 0.784528 loss_bbox: 0.304526 loss_dfl: 0.189715 loss: 1.282671 eta: 3:09:24 batch_cost: 3.4249 data_cost: 0.0028 ips: 37.3735 images/s [10/17 19:01:43] ppdet.engine INFO: Epoch: [285] [180/229] learning_rate: 0.002211 loss_vfl: 0.790034 loss_bbox: 0.307270 loss_dfl: 0.192176 loss: 1.284168 eta: 3:08:14 batch_cost: 3.4378 data_cost: 0.0025 ips: 37.2335 images/s [10/17 19:02:52] ppdet.engine INFO: Epoch: [285] [200/229] learning_rate: 0.002184 loss_vfl: 0.790788 loss_bbox: 0.302628 loss_dfl: 0.191394 loss: 1.277673 eta: 3:07:05 batch_cost: 3.3147 data_cost: 0.0024 ips: 38.6157 images/s [10/17 19:04:00] ppdet.engine INFO: Epoch: [285] [220/229] learning_rate: 0.002158 loss_vfl: 0.773947 loss_bbox: 0.301146 loss_dfl: 0.191169 loss: 1.274907 eta: 3:05:55 batch_cost: 3.2574 data_cost: 0.0024 ips: 39.2955 images/s [10/17 19:04:56] ppdet.engine INFO: Epoch: [286] [ 0/229] learning_rate: 0.002146 loss_vfl: 0.789241 loss_bbox: 0.303853 loss_dfl: 0.195607 loss: 1.301908 eta: 3:05:25 batch_cost: 4.2871 data_cost: 0.5960 ips: 29.8567 images/s [10/17 19:06:09] ppdet.engine INFO: Epoch: [286] [ 20/229] learning_rate: 0.002119 loss_vfl: 0.782570 loss_bbox: 0.302985 loss_dfl: 0.189273 loss: 1.274919 eta: 3:04:15 batch_cost: 3.4706 data_cost: 0.0045 ips: 36.8808 images/s [10/17 19:07:20] ppdet.engine INFO: Epoch: [286] [ 40/229] learning_rate: 0.002092 loss_vfl: 0.783063 loss_bbox: 0.302979 loss_dfl: 0.192590 loss: 1.282250 eta: 3:03:06 batch_cost: 3.4476 data_cost: 0.0026 ips: 37.1270 images/s [10/17 19:08:33] ppdet.engine INFO: Epoch: [286] [ 60/229] learning_rate: 0.002066 loss_vfl: 0.782151 loss_bbox: 0.306348 loss_dfl: 0.195037 loss: 1.275826 eta: 3:01:57 batch_cost: 3.4777 data_cost: 0.0024 ips: 36.8059 images/s [10/17 19:09:44] ppdet.engine INFO: Epoch: [286] [ 80/229] learning_rate: 0.002040 loss_vfl: 0.783851 loss_bbox: 0.304739 loss_dfl: 0.195534 loss: 1.291620 eta: 3:00:47 batch_cost: 3.4242 data_cost: 0.0024 ips: 37.3813 images/s [10/17 19:10:56] ppdet.engine INFO: Epoch: [286] [100/229] learning_rate: 0.002014 loss_vfl: 0.777088 loss_bbox: 0.312282 loss_dfl: 0.194943 loss: 1.284601 eta: 2:59:38 batch_cost: 3.4357 data_cost: 0.0025 ips: 37.2559 images/s [10/17 19:12:07] ppdet.engine INFO: Epoch: [286] [120/229] learning_rate: 0.001988 loss_vfl: 0.786572 loss_bbox: 0.290422 loss_dfl: 0.188924 loss: 1.270160 eta: 2:58:28 batch_cost: 3.4205 data_cost: 0.0026 ips: 37.4217 images/s [10/17 19:13:18] ppdet.engine INFO: Epoch: [286] [140/229] learning_rate: 0.001963 loss_vfl: 0.783999 loss_bbox: 0.304017 loss_dfl: 0.193386 loss: 1.282379 eta: 2:57:19 batch_cost: 3.3949 data_cost: 0.0038 ips: 37.7033 images/s [10/17 19:14:28] ppdet.engine INFO: Epoch: [286] [160/229] learning_rate: 0.001937 loss_vfl: 0.787959 loss_bbox: 0.306453 loss_dfl: 0.194884 loss: 1.301965 eta: 2:56:09 batch_cost: 3.3637 data_cost: 0.0031 ips: 38.0533 images/s [10/17 19:15:39] ppdet.engine INFO: Epoch: [286] [180/229] learning_rate: 0.001912 loss_vfl: 0.779923 loss_bbox: 0.306094 loss_dfl: 0.193993 loss: 1.288638 eta: 2:55:00 batch_cost: 3.4032 data_cost: 0.0032 ips: 37.6121 images/s [10/17 19:16:51] ppdet.engine INFO: Epoch: [286] [200/229] learning_rate: 0.001887 loss_vfl: 0.792037 loss_bbox: 0.293038 loss_dfl: 0.185401 loss: 1.274360 eta: 2:53:50 batch_cost: 3.4179 data_cost: 0.0043 ips: 37.4503 images/s [10/17 19:17:59] ppdet.engine INFO: Epoch: [286] [220/229] learning_rate: 0.001862 loss_vfl: 0.777037 loss_bbox: 0.308826 loss_dfl: 0.192012 loss: 1.275721 eta: 2:52:41 batch_cost: 3.2535 data_cost: 0.0024 ips: 39.3418 images/s [10/17 19:18:52] ppdet.engine INFO: Epoch: [287] [ 0/229] learning_rate: 0.001850 loss_vfl: 0.782475 loss_bbox: 0.300970 loss_dfl: 0.192023 loss: 1.281841 eta: 2:52:10 batch_cost: 4.1515 data_cost: 0.5055 ips: 30.8324 images/s [10/17 19:20:07] ppdet.engine INFO: Epoch: [287] [ 20/229] learning_rate: 0.001826 loss_vfl: 0.783113 loss_bbox: 0.305531 loss_dfl: 0.191315 loss: 1.280853 eta: 2:51:01 batch_cost: 3.5939 data_cost: 0.0032 ips: 35.6155 images/s [10/17 19:21:19] ppdet.engine INFO: Epoch: [287] [ 40/229] learning_rate: 0.001801 loss_vfl: 0.793000 loss_bbox: 0.303277 loss_dfl: 0.190761 loss: 1.293535 eta: 2:49:52 batch_cost: 3.4776 data_cost: 0.0028 ips: 36.8066 images/s [10/17 19:22:31] ppdet.engine INFO: Epoch: [287] [ 60/229] learning_rate: 0.001777 loss_vfl: 0.786312 loss_bbox: 0.294801 loss_dfl: 0.192755 loss: 1.281207 eta: 2:48:42 batch_cost: 3.4177 data_cost: 0.0027 ips: 37.4516 images/s [10/17 19:23:43] ppdet.engine INFO: Epoch: [287] [ 80/229] learning_rate: 0.001752 loss_vfl: 0.779307 loss_bbox: 0.314610 loss_dfl: 0.198924 loss: 1.301027 eta: 2:47:33 batch_cost: 3.4430 data_cost: 0.0025 ips: 37.1766 images/s [10/17 19:24:54] ppdet.engine INFO: Epoch: [287] [100/229] learning_rate: 0.001728 loss_vfl: 0.776670 loss_bbox: 0.297191 loss_dfl: 0.190229 loss: 1.260010 eta: 2:46:23 batch_cost: 3.3982 data_cost: 0.0025 ips: 37.6668 images/s [10/17 19:26:05] ppdet.engine INFO: Epoch: [287] [120/229] learning_rate: 0.001704 loss_vfl: 0.780639 loss_bbox: 0.315995 loss_dfl: 0.198692 loss: 1.302908 eta: 2:45:14 batch_cost: 3.4129 data_cost: 0.0025 ips: 37.5048 images/s [10/17 19:27:17] ppdet.engine INFO: Epoch: [287] [140/229] learning_rate: 0.001681 loss_vfl: 0.777484 loss_bbox: 0.307111 loss_dfl: 0.192383 loss: 1.280995 eta: 2:44:04 batch_cost: 3.4551 data_cost: 0.0025 ips: 37.0471 images/s [10/17 19:28:28] ppdet.engine INFO: Epoch: [287] [160/229] learning_rate: 0.001657 loss_vfl: 0.783868 loss_bbox: 0.313830 loss_dfl: 0.193792 loss: 1.275733 eta: 2:42:55 batch_cost: 3.4335 data_cost: 0.0025 ips: 37.2795 images/s [10/17 19:29:40] ppdet.engine INFO: Epoch: [287] [180/229] learning_rate: 0.001634 loss_vfl: 0.782204 loss_bbox: 0.303749 loss_dfl: 0.190809 loss: 1.282465 eta: 2:41:46 batch_cost: 3.4056 data_cost: 0.0032 ips: 37.5851 images/s [10/17 19:30:50] ppdet.engine INFO: Epoch: [287] [200/229] learning_rate: 0.001610 loss_vfl: 0.792955 loss_bbox: 0.299338 loss_dfl: 0.197339 loss: 1.291268 eta: 2:40:36 batch_cost: 3.3725 data_cost: 0.0025 ips: 37.9539 images/s [10/17 19:31:56] ppdet.engine INFO: Epoch: [287] [220/229] learning_rate: 0.001587 loss_vfl: 0.779844 loss_bbox: 0.304443 loss_dfl: 0.181674 loss: 1.276186 eta: 2:39:26 batch_cost: 3.1375 data_cost: 0.0023 ips: 40.7962 images/s [10/17 19:32:47] ppdet.engine INFO: Epoch: [288] [ 0/229] learning_rate: 0.001577 loss_vfl: 0.784725 loss_bbox: 0.306890 loss_dfl: 0.195658 loss: 1.291985 eta: 2:38:56 batch_cost: 3.9935 data_cost: 0.3794 ips: 32.0524 images/s [10/17 19:33:58] ppdet.engine INFO: Epoch: [288] [ 20/229] learning_rate: 0.001554 loss_vfl: 0.774036 loss_bbox: 0.295115 loss_dfl: 0.186834 loss: 1.267828 eta: 2:37:46 batch_cost: 3.4090 data_cost: 0.0026 ips: 37.5481 images/s [10/17 19:35:10] ppdet.engine INFO: Epoch: [288] [ 40/229] learning_rate: 0.001532 loss_vfl: 0.785184 loss_bbox: 0.316559 loss_dfl: 0.198182 loss: 1.303692 eta: 2:36:37 batch_cost: 3.4328 data_cost: 0.0025 ips: 37.2871 images/s [10/17 19:36:23] ppdet.engine INFO: Epoch: [288] [ 60/229] learning_rate: 0.001509 loss_vfl: 0.787193 loss_bbox: 0.311556 loss_dfl: 0.197124 loss: 1.292887 eta: 2:35:28 batch_cost: 3.4772 data_cost: 0.0033 ips: 36.8117 images/s [10/17 19:37:33] ppdet.engine INFO: Epoch: [288] [ 80/229] learning_rate: 0.001487 loss_vfl: 0.789646 loss_bbox: 0.309214 loss_dfl: 0.197501 loss: 1.295132 eta: 2:34:18 batch_cost: 3.3846 data_cost: 0.0032 ips: 37.8184 images/s [10/17 19:38:44] ppdet.engine INFO: Epoch: [288] [100/229] learning_rate: 0.001465 loss_vfl: 0.779241 loss_bbox: 0.304646 loss_dfl: 0.191572 loss: 1.271225 eta: 2:33:09 batch_cost: 3.4099 data_cost: 0.0025 ips: 37.5378 images/s [10/17 19:39:56] ppdet.engine INFO: Epoch: [288] [120/229] learning_rate: 0.001442 loss_vfl: 0.788722 loss_bbox: 0.299931 loss_dfl: 0.190310 loss: 1.278647 eta: 2:31:59 batch_cost: 3.4030 data_cost: 0.0026 ips: 37.6141 images/s [10/17 19:41:06] ppdet.engine INFO: Epoch: [288] [140/229] learning_rate: 0.001421 loss_vfl: 0.785009 loss_bbox: 0.285784 loss_dfl: 0.180907 loss: 1.255647 eta: 2:30:50 batch_cost: 3.3855 data_cost: 0.0031 ips: 37.8086 images/s [10/17 19:42:18] ppdet.engine INFO: Epoch: [288] [160/229] learning_rate: 0.001399 loss_vfl: 0.781510 loss_bbox: 0.309412 loss_dfl: 0.193134 loss: 1.276355 eta: 2:29:40 batch_cost: 3.4445 data_cost: 0.0026 ips: 37.1605 images/s [10/17 19:43:31] ppdet.engine INFO: Epoch: [288] [180/229] learning_rate: 0.001377 loss_vfl: 0.785690 loss_bbox: 0.302312 loss_dfl: 0.193494 loss: 1.278157 eta: 2:28:31 batch_cost: 3.4537 data_cost: 0.0026 ips: 37.0616 images/s [10/17 19:44:42] ppdet.engine INFO: Epoch: [288] [200/229] learning_rate: 0.001356 loss_vfl: 0.769484 loss_bbox: 0.298374 loss_dfl: 0.193964 loss: 1.276279 eta: 2:27:21 batch_cost: 3.4302 data_cost: 0.0025 ips: 37.3157 images/s [10/17 19:45:52] ppdet.engine INFO: Epoch: [288] [220/229] learning_rate: 0.001335 loss_vfl: 0.780241 loss_bbox: 0.295157 loss_dfl: 0.190958 loss: 1.270634 eta: 2:26:12 batch_cost: 3.3363 data_cost: 0.0025 ips: 38.3654 images/s [10/17 19:46:44] ppdet.engine INFO: Epoch: [289] [ 0/229] learning_rate: 0.001325 loss_vfl: 0.788402 loss_bbox: 0.290828 loss_dfl: 0.186852 loss: 1.275748 eta: 2:25:41 batch_cost: 4.1156 data_cost: 0.3201 ips: 31.1016 images/s [10/17 19:47:56] ppdet.engine INFO: Epoch: [289] [ 20/229] learning_rate: 0.001305 loss_vfl: 0.790565 loss_bbox: 0.299325 loss_dfl: 0.187084 loss: 1.264593 eta: 2:24:32 batch_cost: 3.4285 data_cost: 0.0025 ips: 37.3343 images/s [10/17 19:49:08] ppdet.engine INFO: Epoch: [289] [ 40/229] learning_rate: 0.001284 loss_vfl: 0.786878 loss_bbox: 0.306612 loss_dfl: 0.190052 loss: 1.262409 eta: 2:23:22 batch_cost: 3.4653 data_cost: 0.0028 ips: 36.9379 images/s [10/17 19:50:19] ppdet.engine INFO: Epoch: [289] [ 60/229] learning_rate: 0.001263 loss_vfl: 0.788653 loss_bbox: 0.298860 loss_dfl: 0.191150 loss: 1.280370 eta: 2:22:13 batch_cost: 3.4164 data_cost: 0.0024 ips: 37.4658 images/s [10/17 19:51:30] ppdet.engine INFO: Epoch: [289] [ 80/229] learning_rate: 0.001243 loss_vfl: 0.781415 loss_bbox: 0.309917 loss_dfl: 0.196555 loss: 1.289095 eta: 2:21:04 batch_cost: 3.3928 data_cost: 0.0024 ips: 37.7265 images/s [10/17 19:52:41] ppdet.engine INFO: Epoch: [289] [100/229] learning_rate: 0.001222 loss_vfl: 0.782267 loss_bbox: 0.310253 loss_dfl: 0.195686 loss: 1.301397 eta: 2:19:54 batch_cost: 3.3795 data_cost: 0.0025 ips: 37.8758 images/s [10/17 19:53:51] ppdet.engine INFO: Epoch: [289] [120/229] learning_rate: 0.001202 loss_vfl: 0.776419 loss_bbox: 0.297521 loss_dfl: 0.193915 loss: 1.261755 eta: 2:18:45 batch_cost: 3.3791 data_cost: 0.0024 ips: 37.8802 images/s [10/17 19:55:02] ppdet.engine INFO: Epoch: [289] [140/229] learning_rate: 0.001182 loss_vfl: 0.781657 loss_bbox: 0.309858 loss_dfl: 0.200778 loss: 1.301265 eta: 2:17:35 batch_cost: 3.3671 data_cost: 0.0036 ips: 38.0144 images/s [10/17 19:56:12] ppdet.engine INFO: Epoch: [289] [160/229] learning_rate: 0.001163 loss_vfl: 0.787558 loss_bbox: 0.306808 loss_dfl: 0.191534 loss: 1.284720 eta: 2:16:26 batch_cost: 3.3820 data_cost: 0.0039 ips: 37.8479 images/s [10/17 19:57:23] ppdet.engine INFO: Epoch: [289] [180/229] learning_rate: 0.001143 loss_vfl: 0.793659 loss_bbox: 0.306316 loss_dfl: 0.195548 loss: 1.297051 eta: 2:15:16 batch_cost: 3.3791 data_cost: 0.0029 ips: 37.8803 images/s [10/17 19:58:35] ppdet.engine INFO: Epoch: [289] [200/229] learning_rate: 0.001124 loss_vfl: 0.786255 loss_bbox: 0.311499 loss_dfl: 0.195131 loss: 1.293575 eta: 2:14:07 batch_cost: 3.4477 data_cost: 0.0025 ips: 37.1266 images/s [10/17 19:59:44] ppdet.engine INFO: Epoch: [289] [220/229] learning_rate: 0.001104 loss_vfl: 0.793802 loss_bbox: 0.289118 loss_dfl: 0.184714 loss: 1.265764 eta: 2:12:57 batch_cost: 3.2903 data_cost: 0.0024 ips: 38.9025 images/s [10/17 20:00:14] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 20:00:14] ppdet.engine INFO: Eval iter: 0 [10/17 20:00:55] ppdet.engine INFO: Eval iter: 100 [10/17 20:01:17] ppdet.engine INFO: Eval iter: 200 [10/17 20:01:39] ppdet.engine INFO: Eval iter: 300 [10/17 20:02:00] ppdet.engine INFO: Eval iter: 400 [10/17 20:02:22] ppdet.engine INFO: Eval iter: 500 [10/17 20:02:43] ppdet.engine INFO: Eval iter: 600 [10/17 20:03:04] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.99s) creating index... index created! [10/17 20:03:05] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.91s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=94.61s). Accumulating evaluation results... DONE (t=16.59s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.271 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.414 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.282 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.076 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.270 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.473 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 ] = 0.396 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.423 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.143 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.470 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.683 [10/17 20:05:03] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.873248781592405 [10/17 20:05:03] ppdet.engine INFO: Best test bbox ap is 0.271. [10/17 20:05:06] ppdet.engine INFO: Epoch: [290] [ 0/229] learning_rate: 0.001096 loss_vfl: 0.779940 loss_bbox: 0.303780 loss_dfl: 0.192524 loss: 1.278305 eta: 2:12:26 batch_cost: 3.1685 data_cost: 0.0025 ips: 40.3977 images/s [10/17 20:06:20] ppdet.engine INFO: Epoch: [290] [ 20/229] learning_rate: 0.001077 loss_vfl: 0.787608 loss_bbox: 0.303891 loss_dfl: 0.193286 loss: 1.284525 eta: 2:11:17 batch_cost: 3.5448 data_cost: 0.0034 ips: 36.1089 images/s [10/17 20:07:29] ppdet.engine INFO: Epoch: [290] [ 40/229] learning_rate: 0.001058 loss_vfl: 0.782109 loss_bbox: 0.307269 loss_dfl: 0.198007 loss: 1.295831 eta: 2:10:07 batch_cost: 3.3190 data_cost: 0.0024 ips: 38.5656 images/s [10/17 20:08:42] ppdet.engine INFO: Epoch: [290] [ 60/229] learning_rate: 0.001039 loss_vfl: 0.787358 loss_bbox: 0.311857 loss_dfl: 0.196889 loss: 1.293527 eta: 2:08:58 batch_cost: 3.4572 data_cost: 0.0026 ips: 37.0237 images/s [10/17 20:09:52] ppdet.engine INFO: Epoch: [290] [ 80/229] learning_rate: 0.001020 loss_vfl: 0.780845 loss_bbox: 0.307360 loss_dfl: 0.195703 loss: 1.285236 eta: 2:07:48 batch_cost: 3.3805 data_cost: 0.0024 ips: 37.8643 images/s [10/17 20:11:03] ppdet.engine INFO: Epoch: [290] [100/229] learning_rate: 0.001002 loss_vfl: 0.776575 loss_bbox: 0.306191 loss_dfl: 0.193290 loss: 1.275642 eta: 2:06:39 batch_cost: 3.3812 data_cost: 0.0026 ips: 37.8560 images/s [10/17 20:12:13] ppdet.engine INFO: Epoch: [290] [120/229] learning_rate: 0.000984 loss_vfl: 0.776403 loss_bbox: 0.310540 loss_dfl: 0.197248 loss: 1.288941 eta: 2:05:29 batch_cost: 3.3556 data_cost: 0.0025 ips: 38.1447 images/s [10/17 20:13:26] ppdet.engine INFO: Epoch: [290] [140/229] learning_rate: 0.000966 loss_vfl: 0.800560 loss_bbox: 0.293777 loss_dfl: 0.184500 loss: 1.283147 eta: 2:04:20 batch_cost: 3.4815 data_cost: 0.0026 ips: 36.7653 images/s [10/17 20:14:37] ppdet.engine INFO: Epoch: [290] [160/229] learning_rate: 0.000948 loss_vfl: 0.783013 loss_bbox: 0.310010 loss_dfl: 0.193397 loss: 1.297928 eta: 2:03:10 batch_cost: 3.4121 data_cost: 0.0045 ips: 37.5140 images/s [10/17 20:15:49] ppdet.engine INFO: Epoch: [290] [180/229] learning_rate: 0.000930 loss_vfl: 0.796257 loss_bbox: 0.288547 loss_dfl: 0.181112 loss: 1.245310 eta: 2:02:01 batch_cost: 3.4614 data_cost: 0.0038 ips: 36.9788 images/s [10/17 20:17:01] ppdet.engine INFO: Epoch: [290] [200/229] learning_rate: 0.000913 loss_vfl: 0.785389 loss_bbox: 0.307464 loss_dfl: 0.193392 loss: 1.276467 eta: 2:00:52 batch_cost: 3.4426 data_cost: 0.0024 ips: 37.1812 images/s [10/17 20:18:11] ppdet.engine INFO: Epoch: [290] [220/229] learning_rate: 0.000895 loss_vfl: 0.785144 loss_bbox: 0.309711 loss_dfl: 0.196204 loss: 1.292570 eta: 1:59:42 batch_cost: 3.3698 data_cost: 0.0025 ips: 37.9847 images/s [10/17 20:19:06] ppdet.engine INFO: Epoch: [291] [ 0/229] learning_rate: 0.000888 loss_vfl: 0.789868 loss_bbox: 0.296054 loss_dfl: 0.193843 loss: 1.280120 eta: 1:59:12 batch_cost: 4.3003 data_cost: 0.6720 ips: 29.7650 images/s [10/17 20:20:21] ppdet.engine INFO: Epoch: [291] [ 20/229] learning_rate: 0.000870 loss_vfl: 0.779583 loss_bbox: 0.316140 loss_dfl: 0.197370 loss: 1.303358 eta: 1:58:02 batch_cost: 3.5598 data_cost: 0.0037 ips: 35.9568 images/s [10/17 20:21:35] ppdet.engine INFO: Epoch: [291] [ 40/229] learning_rate: 0.000854 loss_vfl: 0.782570 loss_bbox: 0.317247 loss_dfl: 0.194958 loss: 1.295962 eta: 1:56:53 batch_cost: 3.5431 data_cost: 0.0027 ips: 36.1261 images/s [10/17 20:22:45] ppdet.engine INFO: Epoch: [291] [ 60/229] learning_rate: 0.000837 loss_vfl: 0.785871 loss_bbox: 0.303101 loss_dfl: 0.192436 loss: 1.291750 eta: 1:55:43 batch_cost: 3.4016 data_cost: 0.0033 ips: 37.6293 images/s [10/17 20:23:55] ppdet.engine INFO: Epoch: [291] [ 80/229] learning_rate: 0.000820 loss_vfl: 0.785273 loss_bbox: 0.307064 loss_dfl: 0.196855 loss: 1.276936 eta: 1:54:34 batch_cost: 3.3244 data_cost: 0.0026 ips: 38.5031 images/s [10/17 20:25:06] ppdet.engine INFO: Epoch: [291] [100/229] learning_rate: 0.000804 loss_vfl: 0.783031 loss_bbox: 0.302204 loss_dfl: 0.188375 loss: 1.276545 eta: 1:53:24 batch_cost: 3.4015 data_cost: 0.0025 ips: 37.6306 images/s [10/17 20:26:17] ppdet.engine INFO: Epoch: [291] [120/229] learning_rate: 0.000787 loss_vfl: 0.781866 loss_bbox: 0.299943 loss_dfl: 0.189004 loss: 1.262732 eta: 1:52:15 batch_cost: 3.4117 data_cost: 0.0033 ips: 37.5185 images/s [10/17 20:27:29] ppdet.engine INFO: Epoch: [291] [140/229] learning_rate: 0.000771 loss_vfl: 0.777387 loss_bbox: 0.302888 loss_dfl: 0.193673 loss: 1.267050 eta: 1:51:06 batch_cost: 3.4219 data_cost: 0.0026 ips: 37.4059 images/s [10/17 20:28:41] ppdet.engine INFO: Epoch: [291] [160/229] learning_rate: 0.000755 loss_vfl: 0.781972 loss_bbox: 0.298601 loss_dfl: 0.186034 loss: 1.261941 eta: 1:49:56 batch_cost: 3.4557 data_cost: 0.0026 ips: 37.0402 images/s [10/17 20:29:50] ppdet.engine INFO: Epoch: [291] [180/229] learning_rate: 0.000739 loss_vfl: 0.774288 loss_bbox: 0.305221 loss_dfl: 0.188702 loss: 1.263208 eta: 1:48:47 batch_cost: 3.3266 data_cost: 0.0036 ips: 38.4783 images/s [10/17 20:31:02] ppdet.engine INFO: Epoch: [291] [200/229] learning_rate: 0.000724 loss_vfl: 0.792111 loss_bbox: 0.299021 loss_dfl: 0.192462 loss: 1.282330 eta: 1:47:37 batch_cost: 3.4489 data_cost: 0.0025 ips: 37.1130 images/s [10/17 20:32:11] ppdet.engine INFO: Epoch: [291] [220/229] learning_rate: 0.000708 loss_vfl: 0.786917 loss_bbox: 0.304356 loss_dfl: 0.189173 loss: 1.279722 eta: 1:46:28 batch_cost: 3.2649 data_cost: 0.0024 ips: 39.2046 images/s [10/17 20:33:04] ppdet.engine INFO: Epoch: [292] [ 0/229] learning_rate: 0.000701 loss_vfl: 0.789431 loss_bbox: 0.301924 loss_dfl: 0.188575 loss: 1.280325 eta: 1:45:57 batch_cost: 4.1594 data_cost: 0.5778 ips: 30.7734 images/s [10/17 20:34:17] ppdet.engine INFO: Epoch: [292] [ 20/229] learning_rate: 0.000686 loss_vfl: 0.772536 loss_bbox: 0.313930 loss_dfl: 0.191528 loss: 1.272014 eta: 1:44:48 batch_cost: 3.4779 data_cost: 0.0033 ips: 36.8035 images/s [10/17 20:35:30] ppdet.engine INFO: Epoch: [292] [ 40/229] learning_rate: 0.000671 loss_vfl: 0.789464 loss_bbox: 0.294748 loss_dfl: 0.185147 loss: 1.272018 eta: 1:43:38 batch_cost: 3.5335 data_cost: 0.0026 ips: 36.2250 images/s [10/17 20:36:44] ppdet.engine INFO: Epoch: [292] [ 60/229] learning_rate: 0.000656 loss_vfl: 0.787480 loss_bbox: 0.304279 loss_dfl: 0.191175 loss: 1.274091 eta: 1:42:29 batch_cost: 3.5282 data_cost: 0.0025 ips: 36.2788 images/s [10/17 20:37:55] ppdet.engine INFO: Epoch: [292] [ 80/229] learning_rate: 0.000642 loss_vfl: 0.786836 loss_bbox: 0.313229 loss_dfl: 0.193635 loss: 1.298898 eta: 1:41:19 batch_cost: 3.3971 data_cost: 0.0026 ips: 37.6791 images/s [10/17 20:39:04] ppdet.engine INFO: Epoch: [292] [100/229] learning_rate: 0.000627 loss_vfl: 0.786007 loss_bbox: 0.303845 loss_dfl: 0.192878 loss: 1.290332 eta: 1:40:10 batch_cost: 3.2998 data_cost: 0.0024 ips: 38.7899 images/s [10/17 20:40:14] ppdet.engine INFO: Epoch: [292] [120/229] learning_rate: 0.000613 loss_vfl: 0.771738 loss_bbox: 0.305389 loss_dfl: 0.190340 loss: 1.257974 eta: 1:39:00 batch_cost: 3.3360 data_cost: 0.0026 ips: 38.3689 images/s [10/17 20:41:25] ppdet.engine INFO: Epoch: [292] [140/229] learning_rate: 0.000598 loss_vfl: 0.779393 loss_bbox: 0.308261 loss_dfl: 0.190717 loss: 1.274737 eta: 1:37:51 batch_cost: 3.4048 data_cost: 0.0026 ips: 37.5935 images/s [10/17 20:42:36] ppdet.engine INFO: Epoch: [292] [160/229] learning_rate: 0.000584 loss_vfl: 0.791018 loss_bbox: 0.292244 loss_dfl: 0.186297 loss: 1.261276 eta: 1:36:42 batch_cost: 3.4047 data_cost: 0.0024 ips: 37.5951 images/s [10/17 20:43:47] ppdet.engine INFO: Epoch: [292] [180/229] learning_rate: 0.000570 loss_vfl: 0.776415 loss_bbox: 0.303034 loss_dfl: 0.194509 loss: 1.274502 eta: 1:35:32 batch_cost: 3.4145 data_cost: 0.0025 ips: 37.4874 images/s [10/17 20:44:58] ppdet.engine INFO: Epoch: [292] [200/229] learning_rate: 0.000557 loss_vfl: 0.789889 loss_bbox: 0.300065 loss_dfl: 0.193261 loss: 1.292845 eta: 1:34:23 batch_cost: 3.3803 data_cost: 0.0026 ips: 37.8670 images/s [10/17 20:46:05] ppdet.engine INFO: Epoch: [292] [220/229] learning_rate: 0.000543 loss_vfl: 0.776549 loss_bbox: 0.310495 loss_dfl: 0.189029 loss: 1.274762 eta: 1:33:13 batch_cost: 3.2286 data_cost: 0.0027 ips: 39.6459 images/s [10/17 20:46:59] ppdet.engine INFO: Epoch: [293] [ 0/229] learning_rate: 0.000537 loss_vfl: 0.781516 loss_bbox: 0.308696 loss_dfl: 0.190152 loss: 1.276507 eta: 1:32:42 batch_cost: 4.0848 data_cost: 0.6166 ips: 31.3360 images/s [10/17 20:48:11] ppdet.engine INFO: Epoch: [293] [ 20/229] learning_rate: 0.000524 loss_vfl: 0.779072 loss_bbox: 0.314986 loss_dfl: 0.192401 loss: 1.279789 eta: 1:31:33 batch_cost: 3.4729 data_cost: 0.0026 ips: 36.8566 images/s [10/17 20:49:25] ppdet.engine INFO: Epoch: [293] [ 40/229] learning_rate: 0.000511 loss_vfl: 0.789911 loss_bbox: 0.305386 loss_dfl: 0.196184 loss: 1.284291 eta: 1:30:24 batch_cost: 3.5069 data_cost: 0.0026 ips: 36.4995 images/s [10/17 20:50:38] ppdet.engine INFO: Epoch: [293] [ 60/229] learning_rate: 0.000498 loss_vfl: 0.795421 loss_bbox: 0.306806 loss_dfl: 0.203099 loss: 1.309513 eta: 1:29:14 batch_cost: 3.5161 data_cost: 0.0025 ips: 36.4038 images/s [10/17 20:51:49] ppdet.engine INFO: Epoch: [293] [ 80/229] learning_rate: 0.000485 loss_vfl: 0.779919 loss_bbox: 0.303480 loss_dfl: 0.192880 loss: 1.279603 eta: 1:28:05 batch_cost: 3.4045 data_cost: 0.0025 ips: 37.5969 images/s [10/17 20:53:01] ppdet.engine INFO: Epoch: [293] [100/229] learning_rate: 0.000472 loss_vfl: 0.780479 loss_bbox: 0.299236 loss_dfl: 0.193073 loss: 1.286637 eta: 1:26:55 batch_cost: 3.4620 data_cost: 0.0024 ips: 36.9733 images/s [10/17 20:54:11] ppdet.engine INFO: Epoch: [293] [120/229] learning_rate: 0.000460 loss_vfl: 0.788054 loss_bbox: 0.305200 loss_dfl: 0.190759 loss: 1.279176 eta: 1:25:46 batch_cost: 3.3572 data_cost: 0.0025 ips: 38.1273 images/s [10/17 20:55:24] ppdet.engine INFO: Epoch: [293] [140/229] learning_rate: 0.000447 loss_vfl: 0.789420 loss_bbox: 0.298414 loss_dfl: 0.190417 loss: 1.284549 eta: 1:24:36 batch_cost: 3.4965 data_cost: 0.0025 ips: 36.6080 images/s [10/17 20:56:35] ppdet.engine INFO: Epoch: [293] [160/229] learning_rate: 0.000435 loss_vfl: 0.791864 loss_bbox: 0.307794 loss_dfl: 0.194758 loss: 1.300864 eta: 1:23:27 batch_cost: 3.3916 data_cost: 0.0025 ips: 37.7400 images/s [10/17 20:57:46] ppdet.engine INFO: Epoch: [293] [180/229] learning_rate: 0.000423 loss_vfl: 0.797517 loss_bbox: 0.301900 loss_dfl: 0.192517 loss: 1.281364 eta: 1:22:18 batch_cost: 3.4400 data_cost: 0.0025 ips: 37.2088 images/s [10/17 20:58:59] ppdet.engine INFO: Epoch: [293] [200/229] learning_rate: 0.000411 loss_vfl: 0.784188 loss_bbox: 0.296569 loss_dfl: 0.188171 loss: 1.282907 eta: 1:21:08 batch_cost: 3.5113 data_cost: 0.0031 ips: 36.4534 images/s [10/17 21:00:08] ppdet.engine INFO: Epoch: [293] [220/229] learning_rate: 0.000400 loss_vfl: 0.784932 loss_bbox: 0.299672 loss_dfl: 0.187806 loss: 1.277165 eta: 1:19:59 batch_cost: 3.2655 data_cost: 0.0025 ips: 39.1983 images/s [10/17 21:01:00] ppdet.engine INFO: Epoch: [294] [ 0/229] learning_rate: 0.000395 loss_vfl: 0.783239 loss_bbox: 0.295672 loss_dfl: 0.189889 loss: 1.275855 eta: 1:19:28 batch_cost: 4.1034 data_cost: 0.4554 ips: 31.1939 images/s [10/17 21:02:12] ppdet.engine INFO: Epoch: [294] [ 20/229] learning_rate: 0.000383 loss_vfl: 0.785623 loss_bbox: 0.305234 loss_dfl: 0.194449 loss: 1.289892 eta: 1:18:18 batch_cost: 3.4655 data_cost: 0.0025 ips: 36.9353 images/s [10/17 21:03:25] ppdet.engine INFO: Epoch: [294] [ 40/229] learning_rate: 0.000372 loss_vfl: 0.778590 loss_bbox: 0.310368 loss_dfl: 0.197194 loss: 1.283438 eta: 1:17:09 batch_cost: 3.4507 data_cost: 0.0028 ips: 37.0941 images/s [10/17 21:04:36] ppdet.engine INFO: Epoch: [294] [ 60/229] learning_rate: 0.000361 loss_vfl: 0.782440 loss_bbox: 0.305305 loss_dfl: 0.192450 loss: 1.284751 eta: 1:16:00 batch_cost: 3.4351 data_cost: 0.0024 ips: 37.2622 images/s [10/17 21:05:47] ppdet.engine INFO: Epoch: [294] [ 80/229] learning_rate: 0.000350 loss_vfl: 0.786942 loss_bbox: 0.300607 loss_dfl: 0.191760 loss: 1.282192 eta: 1:14:50 batch_cost: 3.3750 data_cost: 0.0024 ips: 37.9260 images/s [10/17 21:06:57] ppdet.engine INFO: Epoch: [294] [100/229] learning_rate: 0.000339 loss_vfl: 0.775798 loss_bbox: 0.308243 loss_dfl: 0.193188 loss: 1.282440 eta: 1:13:41 batch_cost: 3.3685 data_cost: 0.0025 ips: 37.9986 images/s [10/17 21:08:09] ppdet.engine INFO: Epoch: [294] [120/229] learning_rate: 0.000329 loss_vfl: 0.777011 loss_bbox: 0.301834 loss_dfl: 0.188035 loss: 1.278268 eta: 1:12:31 batch_cost: 3.4357 data_cost: 0.0026 ips: 37.2559 images/s [10/17 21:09:20] ppdet.engine INFO: Epoch: [294] [140/229] learning_rate: 0.000318 loss_vfl: 0.771122 loss_bbox: 0.312298 loss_dfl: 0.190132 loss: 1.278258 eta: 1:11:22 batch_cost: 3.4011 data_cost: 0.0025 ips: 37.6350 images/s [10/17 21:10:31] ppdet.engine INFO: Epoch: [294] [160/229] learning_rate: 0.000308 loss_vfl: 0.781279 loss_bbox: 0.313879 loss_dfl: 0.198015 loss: 1.306564 eta: 1:10:12 batch_cost: 3.4299 data_cost: 0.0025 ips: 37.3190 images/s [10/17 21:11:42] ppdet.engine INFO: Epoch: [294] [180/229] learning_rate: 0.000298 loss_vfl: 0.783828 loss_bbox: 0.301113 loss_dfl: 0.191394 loss: 1.266006 eta: 1:09:03 batch_cost: 3.3756 data_cost: 0.0025 ips: 37.9196 images/s [10/17 21:12:52] ppdet.engine INFO: Epoch: [294] [200/229] learning_rate: 0.000288 loss_vfl: 0.793272 loss_bbox: 0.293403 loss_dfl: 0.190622 loss: 1.273768 eta: 1:07:54 batch_cost: 3.3641 data_cost: 0.0024 ips: 38.0491 images/s [10/17 21:13:58] ppdet.engine INFO: Epoch: [294] [220/229] learning_rate: 0.000278 loss_vfl: 0.781740 loss_bbox: 0.311034 loss_dfl: 0.197967 loss: 1.300611 eta: 1:06:44 batch_cost: 3.1521 data_cost: 0.0024 ips: 40.6077 images/s [10/17 21:14:51] ppdet.engine INFO: Epoch: [295] [ 0/229] learning_rate: 0.000274 loss_vfl: 0.781899 loss_bbox: 0.306156 loss_dfl: 0.195630 loss: 1.296434 eta: 1:06:13 batch_cost: 4.0638 data_cost: 0.5416 ips: 31.4979 images/s [10/17 21:16:03] ppdet.engine INFO: Epoch: [295] [ 20/229] learning_rate: 0.000265 loss_vfl: 0.794844 loss_bbox: 0.300087 loss_dfl: 0.191254 loss: 1.289169 eta: 1:05:04 batch_cost: 3.4348 data_cost: 0.0024 ips: 37.2660 images/s [10/17 21:17:13] ppdet.engine INFO: Epoch: [295] [ 40/229] learning_rate: 0.000255 loss_vfl: 0.769409 loss_bbox: 0.303624 loss_dfl: 0.188138 loss: 1.261784 eta: 1:03:54 batch_cost: 3.3527 data_cost: 0.0025 ips: 38.1782 images/s [10/17 21:18:25] ppdet.engine INFO: Epoch: [295] [ 60/229] learning_rate: 0.000246 loss_vfl: 0.777874 loss_bbox: 0.285239 loss_dfl: 0.184209 loss: 1.254954 eta: 1:02:45 batch_cost: 3.4819 data_cost: 0.0025 ips: 36.7610 images/s [10/17 21:19:36] ppdet.engine INFO: Epoch: [295] [ 80/229] learning_rate: 0.000237 loss_vfl: 0.783398 loss_bbox: 0.297214 loss_dfl: 0.190726 loss: 1.261966 eta: 1:01:35 batch_cost: 3.3949 data_cost: 0.0024 ips: 37.7034 images/s [10/17 21:20:47] ppdet.engine INFO: Epoch: [295] [100/229] learning_rate: 0.000228 loss_vfl: 0.776768 loss_bbox: 0.314617 loss_dfl: 0.192388 loss: 1.278955 eta: 1:00:26 batch_cost: 3.3748 data_cost: 0.0024 ips: 37.9277 images/s [10/17 21:21:57] ppdet.engine INFO: Epoch: [295] [120/229] learning_rate: 0.000220 loss_vfl: 0.785257 loss_bbox: 0.308262 loss_dfl: 0.196166 loss: 1.297552 eta: 0:59:17 batch_cost: 3.3907 data_cost: 0.0026 ips: 37.7503 images/s [10/17 21:23:09] ppdet.engine INFO: Epoch: [295] [140/229] learning_rate: 0.000211 loss_vfl: 0.791915 loss_bbox: 0.294535 loss_dfl: 0.191874 loss: 1.274467 eta: 0:58:07 batch_cost: 3.4535 data_cost: 0.0025 ips: 37.0639 images/s [10/17 21:24:22] ppdet.engine INFO: Epoch: [295] [160/229] learning_rate: 0.000203 loss_vfl: 0.792263 loss_bbox: 0.304224 loss_dfl: 0.191201 loss: 1.280525 eta: 0:56:58 batch_cost: 3.4598 data_cost: 0.0025 ips: 36.9961 images/s [10/17 21:25:31] ppdet.engine INFO: Epoch: [295] [180/229] learning_rate: 0.000195 loss_vfl: 0.788176 loss_bbox: 0.307899 loss_dfl: 0.193974 loss: 1.291003 eta: 0:55:48 batch_cost: 3.3173 data_cost: 0.0025 ips: 38.5857 images/s [10/17 21:26:41] ppdet.engine INFO: Epoch: [295] [200/229] learning_rate: 0.000187 loss_vfl: 0.780884 loss_bbox: 0.318940 loss_dfl: 0.197949 loss: 1.299558 eta: 0:54:39 batch_cost: 3.3638 data_cost: 0.0031 ips: 38.0526 images/s [10/17 21:27:49] ppdet.engine INFO: Epoch: [295] [220/229] learning_rate: 0.000179 loss_vfl: 0.783776 loss_bbox: 0.296861 loss_dfl: 0.192490 loss: 1.281219 eta: 0:53:29 batch_cost: 3.2434 data_cost: 0.0027 ips: 39.4651 images/s [10/17 21:28:44] ppdet.engine INFO: Epoch: [296] [ 0/229] learning_rate: 0.000175 loss_vfl: 0.783301 loss_bbox: 0.296074 loss_dfl: 0.192221 loss: 1.282454 eta: 0:52:58 batch_cost: 4.2087 data_cost: 0.7969 ips: 30.4129 images/s [10/17 21:29:58] ppdet.engine INFO: Epoch: [296] [ 20/229] learning_rate: 0.000168 loss_vfl: 0.781100 loss_bbox: 0.306694 loss_dfl: 0.193461 loss: 1.272354 eta: 0:51:49 batch_cost: 3.5330 data_cost: 0.0026 ips: 36.2295 images/s [10/17 21:31:09] ppdet.engine INFO: Epoch: [296] [ 40/229] learning_rate: 0.000160 loss_vfl: 0.786856 loss_bbox: 0.307056 loss_dfl: 0.191997 loss: 1.294382 eta: 0:50:40 batch_cost: 3.4269 data_cost: 0.0025 ips: 37.3518 images/s [10/17 21:32:19] ppdet.engine INFO: Epoch: [296] [ 60/229] learning_rate: 0.000153 loss_vfl: 0.779707 loss_bbox: 0.313295 loss_dfl: 0.194612 loss: 1.291759 eta: 0:49:30 batch_cost: 3.3424 data_cost: 0.0025 ips: 38.2957 images/s [10/17 21:33:31] ppdet.engine INFO: Epoch: [296] [ 80/229] learning_rate: 0.000146 loss_vfl: 0.777135 loss_bbox: 0.297871 loss_dfl: 0.191923 loss: 1.277991 eta: 0:48:21 batch_cost: 3.4454 data_cost: 0.0025 ips: 37.1508 images/s [10/17 21:34:43] ppdet.engine INFO: Epoch: [296] [100/229] learning_rate: 0.000139 loss_vfl: 0.785037 loss_bbox: 0.292471 loss_dfl: 0.193847 loss: 1.278693 eta: 0:47:11 batch_cost: 3.4376 data_cost: 0.0025 ips: 37.2349 images/s [10/17 21:35:54] ppdet.engine INFO: Epoch: [296] [120/229] learning_rate: 0.000132 loss_vfl: 0.785739 loss_bbox: 0.309176 loss_dfl: 0.194664 loss: 1.271293 eta: 0:46:02 batch_cost: 3.4008 data_cost: 0.0026 ips: 37.6380 images/s [10/17 21:37:05] ppdet.engine INFO: Epoch: [296] [140/229] learning_rate: 0.000126 loss_vfl: 0.789200 loss_bbox: 0.301027 loss_dfl: 0.191505 loss: 1.287591 eta: 0:44:52 batch_cost: 3.4291 data_cost: 0.0025 ips: 37.3275 images/s [10/17 21:38:16] ppdet.engine INFO: Epoch: [296] [160/229] learning_rate: 0.000120 loss_vfl: 0.772111 loss_bbox: 0.291862 loss_dfl: 0.183318 loss: 1.247412 eta: 0:43:43 batch_cost: 3.3910 data_cost: 0.0032 ips: 37.7465 images/s [10/17 21:39:26] ppdet.engine INFO: Epoch: [296] [180/229] learning_rate: 0.000113 loss_vfl: 0.791597 loss_bbox: 0.289946 loss_dfl: 0.191295 loss: 1.259660 eta: 0:42:34 batch_cost: 3.3542 data_cost: 0.0024 ips: 38.1608 images/s [10/17 21:40:38] ppdet.engine INFO: Epoch: [296] [200/229] learning_rate: 0.000107 loss_vfl: 0.791102 loss_bbox: 0.302544 loss_dfl: 0.196307 loss: 1.295416 eta: 0:41:24 batch_cost: 3.4470 data_cost: 0.0025 ips: 37.1342 images/s [10/17 21:41:46] ppdet.engine INFO: Epoch: [296] [220/229] learning_rate: 0.000101 loss_vfl: 0.778930 loss_bbox: 0.292135 loss_dfl: 0.184586 loss: 1.259708 eta: 0:40:15 batch_cost: 3.2491 data_cost: 0.0023 ips: 39.3953 images/s [10/17 21:42:42] ppdet.engine INFO: Epoch: [297] [ 0/229] learning_rate: 0.000099 loss_vfl: 0.783025 loss_bbox: 0.297570 loss_dfl: 0.192378 loss: 1.279818 eta: 0:39:44 batch_cost: 4.2620 data_cost: 0.5178 ips: 30.0330 images/s [10/17 21:43:55] ppdet.engine INFO: Epoch: [297] [ 20/229] learning_rate: 0.000093 loss_vfl: 0.797236 loss_bbox: 0.302253 loss_dfl: 0.190123 loss: 1.289998 eta: 0:38:34 batch_cost: 3.4786 data_cost: 0.0028 ips: 36.7960 images/s [10/17 21:45:06] ppdet.engine INFO: Epoch: [297] [ 40/229] learning_rate: 0.000088 loss_vfl: 0.779054 loss_bbox: 0.321032 loss_dfl: 0.195240 loss: 1.290318 eta: 0:37:25 batch_cost: 3.4080 data_cost: 0.0067 ips: 37.5587 images/s [10/17 21:46:19] ppdet.engine INFO: Epoch: [297] [ 60/229] learning_rate: 0.000082 loss_vfl: 0.787115 loss_bbox: 0.318155 loss_dfl: 0.202312 loss: 1.306167 eta: 0:36:15 batch_cost: 3.4553 data_cost: 0.0039 ips: 37.0447 images/s [10/17 21:47:30] ppdet.engine INFO: Epoch: [297] [ 80/229] learning_rate: 0.000077 loss_vfl: 0.781931 loss_bbox: 0.301001 loss_dfl: 0.189396 loss: 1.271952 eta: 0:35:06 batch_cost: 3.4189 data_cost: 0.0025 ips: 37.4393 images/s [10/17 21:48:41] ppdet.engine INFO: Epoch: [297] [100/229] learning_rate: 0.000072 loss_vfl: 0.786997 loss_bbox: 0.294235 loss_dfl: 0.189445 loss: 1.259717 eta: 0:33:57 batch_cost: 3.4192 data_cost: 0.0025 ips: 37.4359 images/s [10/17 21:49:53] ppdet.engine INFO: Epoch: [297] [120/229] learning_rate: 0.000067 loss_vfl: 0.783365 loss_bbox: 0.307038 loss_dfl: 0.187307 loss: 1.279264 eta: 0:32:47 batch_cost: 3.4411 data_cost: 0.0026 ips: 37.1979 images/s [10/17 21:51:05] ppdet.engine INFO: Epoch: [297] [140/229] learning_rate: 0.000063 loss_vfl: 0.786602 loss_bbox: 0.307952 loss_dfl: 0.196599 loss: 1.287353 eta: 0:31:38 batch_cost: 3.4148 data_cost: 0.0026 ips: 37.4836 images/s [10/17 21:52:16] ppdet.engine INFO: Epoch: [297] [160/229] learning_rate: 0.000058 loss_vfl: 0.797085 loss_bbox: 0.303006 loss_dfl: 0.195864 loss: 1.299570 eta: 0:30:28 batch_cost: 3.4146 data_cost: 0.0024 ips: 37.4856 images/s [10/17 21:53:28] ppdet.engine INFO: Epoch: [297] [180/229] learning_rate: 0.000054 loss_vfl: 0.768927 loss_bbox: 0.312065 loss_dfl: 0.192752 loss: 1.266008 eta: 0:29:19 batch_cost: 3.4746 data_cost: 0.0026 ips: 36.8387 images/s [10/17 21:54:40] ppdet.engine INFO: Epoch: [297] [200/229] learning_rate: 0.000050 loss_vfl: 0.787830 loss_bbox: 0.288564 loss_dfl: 0.187742 loss: 1.266754 eta: 0:28:10 batch_cost: 3.4281 data_cost: 0.0025 ips: 37.3380 images/s [10/17 21:55:47] ppdet.engine INFO: Epoch: [297] [220/229] learning_rate: 0.000046 loss_vfl: 0.777635 loss_bbox: 0.298843 loss_dfl: 0.192250 loss: 1.269002 eta: 0:27:00 batch_cost: 3.2157 data_cost: 0.0024 ips: 39.8050 images/s [10/17 21:56:40] ppdet.engine INFO: Epoch: [298] [ 0/229] learning_rate: 0.000044 loss_vfl: 0.781708 loss_bbox: 0.305918 loss_dfl: 0.192250 loss: 1.269647 eta: 0:26:29 batch_cost: 4.1211 data_cost: 0.4068 ips: 31.0593 images/s [10/17 21:57:53] ppdet.engine INFO: Epoch: [298] [ 20/229] learning_rate: 0.000040 loss_vfl: 0.776008 loss_bbox: 0.300085 loss_dfl: 0.188415 loss: 1.262896 eta: 0:25:20 batch_cost: 3.5020 data_cost: 0.0028 ips: 36.5501 images/s [10/17 21:59:05] ppdet.engine INFO: Epoch: [298] [ 40/229] learning_rate: 0.000037 loss_vfl: 0.795781 loss_bbox: 0.291253 loss_dfl: 0.190371 loss: 1.274070 eta: 0:24:10 batch_cost: 3.4094 data_cost: 0.0027 ips: 37.5433 images/s [10/17 22:00:16] ppdet.engine INFO: Epoch: [298] [ 60/229] learning_rate: 0.000033 loss_vfl: 0.778814 loss_bbox: 0.316231 loss_dfl: 0.194598 loss: 1.285227 eta: 0:23:01 batch_cost: 3.4226 data_cost: 0.0026 ips: 37.3984 images/s [10/17 22:01:25] ppdet.engine INFO: Epoch: [298] [ 80/229] learning_rate: 0.000030 loss_vfl: 0.791235 loss_bbox: 0.294544 loss_dfl: 0.194558 loss: 1.283533 eta: 0:21:51 batch_cost: 3.3157 data_cost: 0.0028 ips: 38.6043 images/s [10/17 22:02:37] ppdet.engine INFO: Epoch: [298] [100/229] learning_rate: 0.000027 loss_vfl: 0.791722 loss_bbox: 0.299966 loss_dfl: 0.192859 loss: 1.286187 eta: 0:20:42 batch_cost: 3.4282 data_cost: 0.0044 ips: 37.3373 images/s [10/17 22:03:50] ppdet.engine INFO: Epoch: [298] [120/229] learning_rate: 0.000024 loss_vfl: 0.789256 loss_bbox: 0.299283 loss_dfl: 0.188931 loss: 1.278931 eta: 0:19:33 batch_cost: 3.5062 data_cost: 0.0024 ips: 36.5065 images/s [10/17 22:05:01] ppdet.engine INFO: Epoch: [298] [140/229] learning_rate: 0.000021 loss_vfl: 0.786980 loss_bbox: 0.313314 loss_dfl: 0.199174 loss: 1.295340 eta: 0:18:23 batch_cost: 3.4040 data_cost: 0.0033 ips: 37.6032 images/s [10/17 22:06:14] ppdet.engine INFO: Epoch: [298] [160/229] learning_rate: 0.000019 loss_vfl: 0.786481 loss_bbox: 0.298983 loss_dfl: 0.195334 loss: 1.277417 eta: 0:17:14 batch_cost: 3.5117 data_cost: 0.0031 ips: 36.4498 images/s [10/17 22:07:25] ppdet.engine INFO: Epoch: [298] [180/229] learning_rate: 0.000016 loss_vfl: 0.788104 loss_bbox: 0.303361 loss_dfl: 0.190858 loss: 1.292115 eta: 0:16:04 batch_cost: 3.3775 data_cost: 0.0025 ips: 37.8981 images/s [10/17 22:08:37] ppdet.engine INFO: Epoch: [298] [200/229] learning_rate: 0.000014 loss_vfl: 0.792393 loss_bbox: 0.303827 loss_dfl: 0.189575 loss: 1.288043 eta: 0:14:55 batch_cost: 3.4607 data_cost: 0.0025 ips: 36.9873 images/s [10/17 22:09:44] ppdet.engine INFO: Epoch: [298] [220/229] learning_rate: 0.000012 loss_vfl: 0.784315 loss_bbox: 0.291516 loss_dfl: 0.187420 loss: 1.269506 eta: 0:13:45 batch_cost: 3.2070 data_cost: 0.0024 ips: 39.9125 images/s [10/17 22:10:36] ppdet.engine INFO: Epoch: [299] [ 0/229] learning_rate: 0.000011 loss_vfl: 0.782041 loss_bbox: 0.291516 loss_dfl: 0.187990 loss: 1.248738 eta: 0:13:14 batch_cost: 4.0720 data_cost: 0.7367 ips: 31.4344 images/s [10/17 22:11:49] ppdet.engine INFO: Epoch: [299] [ 20/229] learning_rate: 0.000009 loss_vfl: 0.789531 loss_bbox: 0.307645 loss_dfl: 0.190913 loss: 1.284116 eta: 0:12:05 batch_cost: 3.4565 data_cost: 0.0032 ips: 37.0321 images/s INFO 2021-10-17 22:28:55,452 launch.py:268] Local processes completed. [10/17 22:12:59] ppdet.engine INFO: Epoch: [299] [ 40/229] learning_rate: 0.000007 loss_vfl: 0.778297 loss_bbox: 0.296623 loss_dfl: 0.189284 loss: 1.243339 eta: 0:10:55 batch_cost: 3.3586 data_cost: 0.0025 ips: 38.1113 images/s [10/17 22:14:10] ppdet.engine INFO: Epoch: [299] [ 60/229] learning_rate: 0.000006 loss_vfl: 0.782198 loss_bbox: 0.304455 loss_dfl: 0.191148 loss: 1.276988 eta: 0:09:46 batch_cost: 3.4115 data_cost: 0.0026 ips: 37.5200 images/s [10/17 22:15:20] ppdet.engine INFO: Epoch: [299] [ 80/229] learning_rate: 0.000005 loss_vfl: 0.787670 loss_bbox: 0.314056 loss_dfl: 0.197295 loss: 1.290764 eta: 0:08:37 batch_cost: 3.3563 data_cost: 0.0024 ips: 38.1370 images/s [10/17 22:16:33] ppdet.engine INFO: Epoch: [299] [100/229] learning_rate: 0.000003 loss_vfl: 0.779433 loss_bbox: 0.305935 loss_dfl: 0.196563 loss: 1.284123 eta: 0:07:27 batch_cost: 3.4927 data_cost: 0.0024 ips: 36.6478 images/s [10/17 22:17:44] ppdet.engine INFO: Epoch: [299] [120/229] learning_rate: 0.000002 loss_vfl: 0.782399 loss_bbox: 0.311333 loss_dfl: 0.194821 loss: 1.295951 eta: 0:06:18 batch_cost: 3.4422 data_cost: 0.0024 ips: 37.1850 images/s [10/17 22:18:55] ppdet.engine INFO: Epoch: [299] [140/229] learning_rate: 0.000002 loss_vfl: 0.773286 loss_bbox: 0.313639 loss_dfl: 0.197186 loss: 1.295225 eta: 0:05:08 batch_cost: 3.3948 data_cost: 0.0025 ips: 37.7048 images/s [10/17 22:20:06] ppdet.engine INFO: Epoch: [299] [160/229] learning_rate: 0.000001 loss_vfl: 0.782669 loss_bbox: 0.306226 loss_dfl: 0.191208 loss: 1.275735 eta: 0:03:59 batch_cost: 3.3685 data_cost: 0.0024 ips: 37.9986 images/s [10/17 22:21:17] ppdet.engine INFO: Epoch: [299] [180/229] learning_rate: 0.000001 loss_vfl: 0.776850 loss_bbox: 0.300689 loss_dfl: 0.183832 loss: 1.260583 eta: 0:02:50 batch_cost: 3.4237 data_cost: 0.0023 ips: 37.3867 images/s [10/17 22:22:28] ppdet.engine INFO: Epoch: [299] [200/229] learning_rate: 0.000000 loss_vfl: 0.794281 loss_bbox: 0.305862 loss_dfl: 0.195372 loss: 1.286388 eta: 0:01:40 batch_cost: 3.4212 data_cost: 0.0023 ips: 37.4138 images/s [10/17 22:23:36] ppdet.engine INFO: Epoch: [299] [220/229] learning_rate: 0.000000 loss_vfl: 0.779994 loss_bbox: 0.310748 loss_dfl: 0.192070 loss: 1.287666 eta: 0:00:31 batch_cost: 3.2447 data_cost: 0.0023 ips: 39.4484 images/s [10/17 22:24:04] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_320_coco [10/17 22:24:04] ppdet.engine INFO: Eval iter: 0 [10/17 22:24:37] ppdet.engine INFO: Eval iter: 100 [10/17 22:24:59] ppdet.engine INFO: Eval iter: 200 [10/17 22:25:22] ppdet.engine INFO: Eval iter: 300 [10/17 22:25:44] ppdet.engine INFO: Eval iter: 400 [10/17 22:26:08] ppdet.engine INFO: Eval iter: 500 [10/17 22:26:30] ppdet.engine INFO: Eval iter: 600 [10/17 22:26:50] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.67s) creating index... index created! [10/17 22:26:51] 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=95.34s). Accumulating evaluation results... DONE (t=16.76s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.271 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.414 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.281 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 ] = 0.270 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.473 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 ] = 0.396 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 ] = 0.143 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.470 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.682 [10/17 22:28:50] ppdet.engine INFO: Total sample number: 5000, averge FPS: 32.63262747104935 [10/17 22:28:50] ppdet.engine INFO: Best test bbox ap is 0.271.