grep: warning: GREP_OPTIONS is deprecated; please use an alias or script /usr/local/lib/python3.7/site-packages/paddle/optimizer/adamw.py:21: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working from collections import Callable WARNING 2021-10-21 05:54:48,608 launch.py:382] Not found distinct arguments and compiled with cuda or xpu. Default use collective mode INFO 2021-10-21 05:54:48,608 launch_utils.py:638] Change selected_gpus into reletive values. --ips:0,1,2,3,4,5,6,7 will change into relative_ips:[0, 1, 2, 3, 4, 5, 6, 7] according to your CUDA_VISIBLE_DEVICES:['0', '1', '2', '3', '4', '5', '6', '7'] INFO 2021-10-21 05:54:48,609 launch_utils.py:525] Local start 8 processes. First process distributed environment info (Only For Debug): +=======================================================================================+ | Distributed Envs Value | +---------------------------------------------------------------------------------------+ | PADDLE_TRAINER_ID 0 | | PADDLE_CURRENT_ENDPOINT 127.0.0.1:60898 | | PADDLE_TRAINERS_NUM 8 | | PADDLE_TRAINER_ENDPOINTS ... 0.1:56786,127.0.0.1:34931,127.0.0.1:56123| | PADDLE_RANK_IN_NODE 0 | | PADDLE_LOCAL_DEVICE_IDS 0 | | PADDLE_WORLD_DEVICE_IDS 0,1,2,3,4,5,6,7 | | FLAGS_selected_gpus 0 | | FLAGS_selected_accelerators 0 | +=======================================================================================+ INFO 2021-10-21 05:54:48,609 launch_utils.py:529] details abouts PADDLE_TRAINER_ENDPOINTS can be found in log/endpoints.log, and detail running logs maybe found in log/workerlog.0 ----------- Configuration Arguments ----------- elastic_server: None force: False gpus: 0,1,2,3,4,5,6,7 heter_worker_num: None heter_workers: host: None http_port: None ips: 127.0.0.1 job_id: None log_dir: log np: None nproc_per_node: None run_mode: None scale: 0 server_num: None servers: training_script: tools/train.py training_script_args: ['-c', 'configs/picodet/more_config/picodet_mobilenetv3_large_1x_416_coco.yml', '--eval'] worker_num: None workers: ------------------------------------------------ launch train in GPU mode! launch proc_id:42166 idx:0 launch proc_id:42171 idx:1 launch proc_id:42176 idx:2 launch proc_id:42181 idx:3 launch proc_id:42186 idx:4 launch proc_id:42191 idx:5 launch proc_id:42196 idx:6 launch proc_id:42201 idx:7 grep: warning: GREP_OPTIONS is deprecated; please use an alias or script /usr/local/lib/python3.7/site-packages/paddle/optimizer/adamw.py:21: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working from collections import Callable Warning: import ppdet from source directory without installing, run 'python setup.py install' to install ppdet firstly server not ready, wait 3 sec to retry... not ready endpoints:['127.0.0.1:34765', '127.0.0.1:54670', '127.0.0.1:56786', '127.0.0.1:56123'] I1021 05:54:58.567582 42166 nccl_context.cc:74] init nccl context nranks: 8 local rank: 0 gpu id: 0 ring id: 0 W1021 05:55:02.156663 42166 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1 W1021 05:55:02.162700 42166 device_context.cc:465] device: 0, cuDNN Version: 7.6. loading annotations into memory... Done (t=20.49s) creating index... index created! [10/21 05:55:37] 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. [10/21 05:55:49] 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. [10/21 05:56:05] ppdet.utils.checkpoint INFO: Finish loading model weights: /root/.cache/paddle/weights/MobileNetV3_large_x1_0_ssld_pretrained.pdparams [10/21 05:56:12] ppdet.engine INFO: Epoch: [0] [ 0/261] learning_rate: 0.030000 loss_vfl: 1.264166 loss_bbox: 1.094714 loss_dfl: 0.534803 loss: 2.893684 eta: 6 days, 19:19:43 batch_cost: 7.5094 data_cost: 0.0013 ips: 7.4573 images/s [10/21 05:57:04] ppdet.engine INFO: Epoch: [0] [ 20/261] learning_rate: 0.048000 loss_vfl: 1.180155 loss_bbox: 0.998654 loss_dfl: 0.471680 loss: 2.666155 eta: 2 days, 11:39:42 batch_cost: 2.5055 data_cost: 0.0013 ips: 22.3509 images/s [10/21 05:57:52] ppdet.engine INFO: Epoch: [0] [ 40/261] learning_rate: 0.066000 loss_vfl: 1.131212 loss_bbox: 0.856528 loss_dfl: 0.400402 loss: 2.389482 eta: 2 days, 6:30:49 batch_cost: 2.2598 data_cost: 0.0013 ips: 24.7814 images/s [10/21 05:58:44] ppdet.engine INFO: Epoch: [0] [ 60/261] learning_rate: 0.084000 loss_vfl: 1.154969 loss_bbox: 0.665696 loss_dfl: 0.333091 loss: 2.160316 eta: 2 days, 6:14:56 batch_cost: 2.4724 data_cost: 0.0013 ips: 22.6496 images/s [10/21 05:59:33] ppdet.engine INFO: Epoch: [0] [ 80/261] learning_rate: 0.102000 loss_vfl: 1.145023 loss_bbox: 0.626733 loss_dfl: 0.326118 loss: 2.104427 eta: 2 days, 5:15:31 batch_cost: 2.3141 data_cost: 0.0012 ips: 24.1991 images/s [10/21 06:00:20] ppdet.engine INFO: Epoch: [0] [100/261] learning_rate: 0.120000 loss_vfl: 1.154393 loss_bbox: 0.583510 loss_dfl: 0.301013 loss: 2.022901 eta: 2 days, 4:22:57 batch_cost: 2.2507 data_cost: 0.0013 ips: 24.8816 images/s [10/21 06:01:09] ppdet.engine INFO: Epoch: [0] [120/261] learning_rate: 0.138000 loss_vfl: 1.158917 loss_bbox: 0.552530 loss_dfl: 0.282658 loss: 1.995192 eta: 2 days, 4:10:45 batch_cost: 2.3586 data_cost: 0.0013 ips: 23.7431 images/s [10/21 06:01:59] ppdet.engine INFO: Epoch: [0] [140/261] learning_rate: 0.156000 loss_vfl: 1.159797 loss_bbox: 0.566686 loss_dfl: 0.297399 loss: 2.019050 eta: 2 days, 4:04:34 batch_cost: 2.3736 data_cost: 0.0013 ips: 23.5932 images/s [10/21 06:02:47] ppdet.engine INFO: Epoch: [0] [160/261] learning_rate: 0.174000 loss_vfl: 1.144135 loss_bbox: 0.507485 loss_dfl: 0.273573 loss: 1.947722 eta: 2 days, 3:47:31 batch_cost: 2.2982 data_cost: 0.0012 ips: 24.3670 images/s [10/21 06:03:37] ppdet.engine INFO: Epoch: [0] [180/261] learning_rate: 0.192000 loss_vfl: 1.198862 loss_bbox: 0.498123 loss_dfl: 0.265204 loss: 1.963073 eta: 2 days, 3:37:02 batch_cost: 2.3188 data_cost: 0.0013 ips: 24.1507 images/s [10/21 06:04:25] ppdet.engine INFO: Epoch: [0] [200/261] learning_rate: 0.210000 loss_vfl: 1.183393 loss_bbox: 0.466136 loss_dfl: 0.264208 loss: 1.935020 eta: 2 days, 3:19:12 batch_cost: 2.2471 data_cost: 0.0012 ips: 24.9215 images/s [10/21 06:05:14] ppdet.engine INFO: Epoch: [0] [220/261] learning_rate: 0.228000 loss_vfl: 1.160118 loss_bbox: 0.479417 loss_dfl: 0.268204 loss: 1.926003 eta: 2 days, 3:14:05 batch_cost: 2.3288 data_cost: 0.0012 ips: 24.0463 images/s [10/21 06:06:03] ppdet.engine INFO: Epoch: [0] [240/261] learning_rate: 0.246000 loss_vfl: 1.136156 loss_bbox: 0.487915 loss_dfl: 0.268960 loss: 1.922214 eta: 2 days, 3:10:01 batch_cost: 2.3320 data_cost: 0.0013 ips: 24.0135 images/s [10/21 06:06:46] ppdet.engine INFO: Epoch: [0] [260/261] learning_rate: 0.264000 loss_vfl: 1.157027 loss_bbox: 0.480410 loss_dfl: 0.258328 loss: 1.913951 eta: 2 days, 2:36:17 batch_cost: 2.0290 data_cost: 0.0011 ips: 27.5992 images/s [10/21 06:07:05] ppdet.engine INFO: Epoch: [1] [ 0/261] learning_rate: 0.264900 loss_vfl: 1.157027 loss_bbox: 0.480410 loss_dfl: 0.255819 loss: 1.914397 eta: 2 days, 3:42:52 batch_cost: 2.7016 data_cost: 0.2739 ips: 20.7285 images/s [10/21 06:07:58] ppdet.engine INFO: Epoch: [1] [ 20/261] learning_rate: 0.282900 loss_vfl: 1.140910 loss_bbox: 0.451959 loss_dfl: 0.248289 loss: 1.878091 eta: 2 days, 3:51:04 batch_cost: 2.4832 data_cost: 0.0013 ips: 22.5514 images/s [10/21 06:08:49] ppdet.engine INFO: Epoch: [1] [ 40/261] learning_rate: 0.299989 loss_vfl: 1.131316 loss_bbox: 0.447085 loss_dfl: 0.258742 loss: 1.859594 eta: 2 days, 3:47:59 batch_cost: 2.3659 data_cost: 0.0012 ips: 23.6696 images/s [10/21 06:09:36] ppdet.engine INFO: Epoch: [1] [ 60/261] learning_rate: 0.299988 loss_vfl: 1.096677 loss_bbox: 0.426902 loss_dfl: 0.240702 loss: 1.796318 eta: 2 days, 3:32:03 batch_cost: 2.2033 data_cost: 0.0013 ips: 25.4161 images/s [10/21 06:10:24] ppdet.engine INFO: Epoch: [1] [ 80/261] learning_rate: 0.299986 loss_vfl: 1.103602 loss_bbox: 0.455812 loss_dfl: 0.257149 loss: 1.831439 eta: 2 days, 3:23:41 batch_cost: 2.2794 data_cost: 0.0012 ips: 24.5676 images/s [10/21 06:11:12] ppdet.engine INFO: Epoch: [1] [100/261] learning_rate: 0.299984 loss_vfl: 1.102275 loss_bbox: 0.435016 loss_dfl: 0.231002 loss: 1.790825 eta: 2 days, 3:15:11 batch_cost: 2.2659 data_cost: 0.0012 ips: 24.7142 images/s [10/21 06:12:01] ppdet.engine INFO: Epoch: [1] [120/261] learning_rate: 0.299982 loss_vfl: 1.080697 loss_bbox: 0.446568 loss_dfl: 0.246884 loss: 1.766269 eta: 2 days, 3:07:40 batch_cost: 2.2685 data_cost: 0.0013 ips: 24.6855 images/s [10/21 06:12:50] ppdet.engine INFO: Epoch: [1] [140/261] learning_rate: 0.299981 loss_vfl: 1.056820 loss_bbox: 0.431110 loss_dfl: 0.242515 loss: 1.765474 eta: 2 days, 3:02:19 batch_cost: 2.2914 data_cost: 0.0013 ips: 24.4391 images/s [10/21 06:13:40] ppdet.engine INFO: Epoch: [1] [160/261] learning_rate: 0.299979 loss_vfl: 1.097470 loss_bbox: 0.454012 loss_dfl: 0.246608 loss: 1.799962 eta: 2 days, 2:58:22 batch_cost: 2.3073 data_cost: 0.0012 ips: 24.2708 images/s [10/21 06:14:28] ppdet.engine INFO: Epoch: [1] [180/261] learning_rate: 0.299977 loss_vfl: 1.092399 loss_bbox: 0.419152 loss_dfl: 0.232221 loss: 1.747939 eta: 2 days, 2:49:00 batch_cost: 2.2101 data_cost: 0.0013 ips: 25.3385 images/s [10/21 06:15:18] ppdet.engine INFO: Epoch: [1] [200/261] learning_rate: 0.299974 loss_vfl: 1.048407 loss_bbox: 0.464786 loss_dfl: 0.255487 loss: 1.757977 eta: 2 days, 2:44:13 batch_cost: 2.2784 data_cost: 0.0012 ips: 24.5788 images/s [10/21 06:16:07] ppdet.engine INFO: Epoch: [1] [220/261] learning_rate: 0.299972 loss_vfl: 1.067969 loss_bbox: 0.402248 loss_dfl: 0.223882 loss: 1.701522 eta: 2 days, 2:44:22 batch_cost: 2.3640 data_cost: 0.0012 ips: 23.6890 images/s [10/21 06:16:55] ppdet.engine INFO: Epoch: [1] [240/261] learning_rate: 0.299970 loss_vfl: 1.081437 loss_bbox: 0.393163 loss_dfl: 0.226464 loss: 1.738305 eta: 2 days, 2:37:23 batch_cost: 2.2273 data_cost: 0.0012 ips: 25.1426 images/s [10/21 06:17:39] ppdet.engine INFO: Epoch: [1] [260/261] learning_rate: 0.299967 loss_vfl: 1.049971 loss_bbox: 0.440877 loss_dfl: 0.243254 loss: 1.743093 eta: 2 days, 2:23:31 batch_cost: 2.0791 data_cost: 0.0013 ips: 26.9342 images/s [10/21 06:18:00] ppdet.engine INFO: Epoch: [2] [ 0/261] learning_rate: 0.299967 loss_vfl: 1.058253 loss_bbox: 0.440877 loss_dfl: 0.243254 loss: 1.743093 eta: 2 days, 2:59:00 batch_cost: 2.8080 data_cost: 0.5177 ips: 19.9430 images/s [10/21 06:18:57] ppdet.engine INFO: Epoch: [2] [ 20/261] learning_rate: 0.299965 loss_vfl: 1.050552 loss_bbox: 0.400879 loss_dfl: 0.231312 loss: 1.689701 eta: 2 days, 3:12:20 batch_cost: 2.6557 data_cost: 0.0013 ips: 21.0871 images/s [10/21 06:19:46] ppdet.engine INFO: Epoch: [2] [ 40/261] learning_rate: 0.299962 loss_vfl: 1.041681 loss_bbox: 0.420548 loss_dfl: 0.234743 loss: 1.705857 eta: 2 days, 3:07:53 batch_cost: 2.2911 data_cost: 0.0012 ips: 24.4420 images/s [10/21 06:20:35] ppdet.engine INFO: Epoch: [2] [ 60/261] learning_rate: 0.299959 loss_vfl: 1.040857 loss_bbox: 0.430837 loss_dfl: 0.240970 loss: 1.698022 eta: 2 days, 3:04:02 batch_cost: 2.2988 data_cost: 0.0013 ips: 24.3605 images/s [10/21 06:21:24] ppdet.engine INFO: Epoch: [2] [ 80/261] learning_rate: 0.299956 loss_vfl: 1.035411 loss_bbox: 0.414596 loss_dfl: 0.228051 loss: 1.660792 eta: 2 days, 3:00:15 batch_cost: 2.2958 data_cost: 0.0012 ips: 24.3928 images/s [10/21 06:22:12] ppdet.engine INFO: Epoch: [2] [100/261] learning_rate: 0.299953 loss_vfl: 1.032794 loss_bbox: 0.397073 loss_dfl: 0.226100 loss: 1.638929 eta: 2 days, 2:57:39 batch_cost: 2.3196 data_cost: 0.0012 ips: 24.1423 images/s [10/21 06:23:01] ppdet.engine INFO: Epoch: [2] [120/261] learning_rate: 0.299950 loss_vfl: 1.030607 loss_bbox: 0.416079 loss_dfl: 0.236767 loss: 1.674273 eta: 2 days, 2:53:48 batch_cost: 2.2860 data_cost: 0.0013 ips: 24.4969 images/s [10/21 06:23:52] ppdet.engine INFO: Epoch: [2] [140/261] learning_rate: 0.299947 loss_vfl: 1.017672 loss_bbox: 0.401711 loss_dfl: 0.226179 loss: 1.638968 eta: 2 days, 2:57:10 batch_cost: 2.4658 data_cost: 0.0013 ips: 22.7111 images/s [10/21 06:24:40] ppdet.engine INFO: Epoch: [2] [160/261] learning_rate: 0.299944 loss_vfl: 1.020189 loss_bbox: 0.377746 loss_dfl: 0.221329 loss: 1.626559 eta: 2 days, 2:52:48 batch_cost: 2.2681 data_cost: 0.0012 ips: 24.6906 images/s [10/21 06:25:28] ppdet.engine INFO: Epoch: [2] [180/261] learning_rate: 0.299941 loss_vfl: 1.026711 loss_bbox: 0.418413 loss_dfl: 0.233897 loss: 1.655980 eta: 2 days, 2:48:59 batch_cost: 2.2773 data_cost: 0.0012 ips: 24.5906 images/s [10/21 06:26:18] ppdet.engine INFO: Epoch: [2] [200/261] learning_rate: 0.299937 loss_vfl: 1.009407 loss_bbox: 0.390999 loss_dfl: 0.226695 loss: 1.641890 eta: 2 days, 2:48:01 batch_cost: 2.3525 data_cost: 0.0013 ips: 23.8045 images/s [10/21 06:27:05] ppdet.engine INFO: Epoch: [2] [220/261] learning_rate: 0.299934 loss_vfl: 1.025926 loss_bbox: 0.401942 loss_dfl: 0.229126 loss: 1.660668 eta: 2 days, 2:41:03 batch_cost: 2.1801 data_cost: 0.0013 ips: 25.6864 images/s [10/21 06:27:53] ppdet.engine INFO: Epoch: [2] [240/261] learning_rate: 0.299930 loss_vfl: 1.017726 loss_bbox: 0.350403 loss_dfl: 0.209199 loss: 1.568301 eta: 2 days, 2:37:47 batch_cost: 2.2792 data_cost: 0.0012 ips: 24.5698 images/s [10/21 06:28:37] ppdet.engine INFO: Epoch: [2] [260/261] learning_rate: 0.299926 loss_vfl: 1.015238 loss_bbox: 0.397188 loss_dfl: 0.227487 loss: 1.641220 eta: 2 days, 2:27:18 batch_cost: 2.0565 data_cost: 0.0011 ips: 27.2307 images/s [10/21 06:28:59] ppdet.engine INFO: Epoch: [3] [ 0/261] learning_rate: 0.299926 loss_vfl: 1.015238 loss_bbox: 0.397188 loss_dfl: 0.227487 loss: 1.641220 eta: 2 days, 2:51:37 batch_cost: 2.7912 data_cost: 0.2178 ips: 20.0628 images/s [10/21 06:29:53] ppdet.engine INFO: Epoch: [3] [ 20/261] learning_rate: 0.299922 loss_vfl: 1.021224 loss_bbox: 0.380778 loss_dfl: 0.224668 loss: 1.641585 eta: 2 days, 2:52:07 batch_cost: 2.4021 data_cost: 0.0012 ips: 23.3127 images/s [10/21 06:30:42] ppdet.engine INFO: Epoch: [3] [ 40/261] learning_rate: 0.299918 loss_vfl: 1.012903 loss_bbox: 0.342624 loss_dfl: 0.213156 loss: 1.594568 eta: 2 days, 2:49:45 batch_cost: 2.3126 data_cost: 0.0012 ips: 24.2156 images/s [10/21 06:31:29] ppdet.engine INFO: Epoch: [3] [ 60/261] learning_rate: 0.299914 loss_vfl: 0.984324 loss_bbox: 0.388097 loss_dfl: 0.224893 loss: 1.618584 eta: 2 days, 2:44:06 batch_cost: 2.2029 data_cost: 0.0013 ips: 25.4214 images/s [10/21 06:32:17] ppdet.engine INFO: Epoch: [3] [ 80/261] learning_rate: 0.299910 loss_vfl: 0.994084 loss_bbox: 0.389454 loss_dfl: 0.221610 loss: 1.605054 eta: 2 days, 2:42:23 batch_cost: 2.3270 data_cost: 0.0012 ips: 24.0656 images/s [10/21 06:33:04] ppdet.engine INFO: Epoch: [3] [100/261] learning_rate: 0.299906 loss_vfl: 0.991189 loss_bbox: 0.395120 loss_dfl: 0.229025 loss: 1.619273 eta: 2 days, 2:36:37 batch_cost: 2.1865 data_cost: 0.0013 ips: 25.6121 images/s [10/21 06:33:52] ppdet.engine INFO: Epoch: [3] [120/261] learning_rate: 0.299902 loss_vfl: 0.991186 loss_bbox: 0.387622 loss_dfl: 0.214287 loss: 1.582282 eta: 2 days, 2:33:01 batch_cost: 2.2549 data_cost: 0.0013 ips: 24.8344 images/s [10/21 06:34:42] ppdet.engine INFO: Epoch: [3] [140/261] learning_rate: 0.299897 loss_vfl: 0.967869 loss_bbox: 0.366254 loss_dfl: 0.215847 loss: 1.592476 eta: 2 days, 2:33:58 batch_cost: 2.4136 data_cost: 0.0013 ips: 23.2022 images/s [10/21 06:35:32] ppdet.engine INFO: Epoch: [3] [160/261] learning_rate: 0.299893 loss_vfl: 0.987425 loss_bbox: 0.413633 loss_dfl: 0.232374 loss: 1.636355 eta: 2 days, 2:33:06 batch_cost: 2.3495 data_cost: 0.0012 ips: 23.8353 images/s [10/21 06:36:22] ppdet.engine INFO: Epoch: [3] [180/261] learning_rate: 0.299888 loss_vfl: 0.987303 loss_bbox: 0.387955 loss_dfl: 0.224004 loss: 1.603625 eta: 2 days, 2:30:15 batch_cost: 2.2754 data_cost: 0.0012 ips: 24.6109 images/s [10/21 06:37:11] ppdet.engine INFO: Epoch: [3] [200/261] learning_rate: 0.299883 loss_vfl: 0.990494 loss_bbox: 0.397419 loss_dfl: 0.222542 loss: 1.621182 eta: 2 days, 2:28:44 batch_cost: 2.3229 data_cost: 0.0012 ips: 24.1075 images/s [10/21 06:37:58] ppdet.engine INFO: Epoch: [3] [220/261] learning_rate: 0.299879 loss_vfl: 1.003948 loss_bbox: 0.367444 loss_dfl: 0.217528 loss: 1.582394 eta: 2 days, 2:23:51 batch_cost: 2.1907 data_cost: 0.0013 ips: 25.5624 images/s [10/21 06:38:48] ppdet.engine INFO: Epoch: [3] [240/261] learning_rate: 0.299874 loss_vfl: 0.989512 loss_bbox: 0.375889 loss_dfl: 0.220662 loss: 1.600647 eta: 2 days, 2:22:22 batch_cost: 2.3188 data_cost: 0.0013 ips: 24.1504 images/s [10/21 06:39:31] ppdet.engine INFO: Epoch: [3] [260/261] learning_rate: 0.299869 loss_vfl: 0.959602 loss_bbox: 0.383853 loss_dfl: 0.216375 loss: 1.563212 eta: 2 days, 2:14:17 batch_cost: 2.0506 data_cost: 0.0011 ips: 27.3090 images/s [10/21 06:39:51] ppdet.engine INFO: Epoch: [4] [ 0/261] learning_rate: 0.299868 loss_vfl: 0.959602 loss_bbox: 0.381998 loss_dfl: 0.215632 loss: 1.558787 eta: 2 days, 2:30:26 batch_cost: 2.6710 data_cost: 0.4502 ips: 20.9658 images/s [10/21 06:40:46] ppdet.engine INFO: Epoch: [4] [ 20/261] learning_rate: 0.299863 loss_vfl: 0.966947 loss_bbox: 0.364216 loss_dfl: 0.219169 loss: 1.561302 eta: 2 days, 2:34:56 batch_cost: 2.5722 data_cost: 0.0013 ips: 21.7716 images/s [10/21 06:41:33] ppdet.engine INFO: Epoch: [4] [ 40/261] learning_rate: 0.299858 loss_vfl: 0.957429 loss_bbox: 0.374626 loss_dfl: 0.220747 loss: 1.548710 eta: 2 days, 2:31:05 batch_cost: 2.2287 data_cost: 0.0013 ips: 25.1268 images/s [10/21 06:42:21] ppdet.engine INFO: Epoch: [4] [ 60/261] learning_rate: 0.299853 loss_vfl: 0.977759 loss_bbox: 0.359842 loss_dfl: 0.210649 loss: 1.566118 eta: 2 days, 2:27:58 batch_cost: 2.2550 data_cost: 0.0013 ips: 24.8341 images/s [10/21 06:43:08] ppdet.engine INFO: Epoch: [4] [ 80/261] learning_rate: 0.299847 loss_vfl: 0.977855 loss_bbox: 0.349379 loss_dfl: 0.213336 loss: 1.541920 eta: 2 days, 2:24:51 batch_cost: 2.2518 data_cost: 0.0013 ips: 24.8687 images/s [10/21 06:43:56] ppdet.engine INFO: Epoch: [4] [100/261] learning_rate: 0.299842 loss_vfl: 0.964595 loss_bbox: 0.362199 loss_dfl: 0.211772 loss: 1.555528 eta: 2 days, 2:21:43 batch_cost: 2.2469 data_cost: 0.0013 ips: 24.9235 images/s [10/21 06:44:46] ppdet.engine INFO: Epoch: [4] [120/261] learning_rate: 0.299836 loss_vfl: 0.971483 loss_bbox: 0.366017 loss_dfl: 0.218948 loss: 1.535031 eta: 2 days, 2:20:13 batch_cost: 2.3171 data_cost: 0.0013 ips: 24.1684 images/s [10/21 06:45:35] ppdet.engine INFO: Epoch: [4] [140/261] learning_rate: 0.299831 loss_vfl: 0.950154 loss_bbox: 0.390000 loss_dfl: 0.220461 loss: 1.563565 eta: 2 days, 2:18:55 batch_cost: 2.3254 data_cost: 0.0013 ips: 24.0819 images/s [10/21 06:46:25] ppdet.engine INFO: Epoch: [4] [160/261] learning_rate: 0.299825 loss_vfl: 0.962392 loss_bbox: 0.365770 loss_dfl: 0.228513 loss: 1.574252 eta: 2 days, 2:17:40 batch_cost: 2.3274 data_cost: 0.0013 ips: 24.0614 images/s [10/21 06:47:13] ppdet.engine INFO: Epoch: [4] [180/261] learning_rate: 0.299819 loss_vfl: 0.949312 loss_bbox: 0.379183 loss_dfl: 0.228346 loss: 1.563232 eta: 2 days, 2:15:01 batch_cost: 2.2590 data_cost: 0.0013 ips: 24.7897 images/s [10/21 06:48:01] ppdet.engine INFO: Epoch: [4] [200/261] learning_rate: 0.299813 loss_vfl: 0.965074 loss_bbox: 0.403147 loss_dfl: 0.227555 loss: 1.575806 eta: 2 days, 2:12:40 batch_cost: 2.2713 data_cost: 0.0013 ips: 24.6555 images/s [10/21 06:48:50] ppdet.engine INFO: Epoch: [4] [220/261] learning_rate: 0.299807 loss_vfl: 0.974377 loss_bbox: 0.342981 loss_dfl: 0.207404 loss: 1.515177 eta: 2 days, 2:10:49 batch_cost: 2.2929 data_cost: 0.0013 ips: 24.4229 images/s [10/21 06:49:39] ppdet.engine INFO: Epoch: [4] [240/261] learning_rate: 0.299801 loss_vfl: 0.950376 loss_bbox: 0.387892 loss_dfl: 0.223725 loss: 1.558143 eta: 2 days, 2:09:13 batch_cost: 2.3047 data_cost: 0.0013 ips: 24.2986 images/s [10/21 06:50:22] ppdet.engine INFO: Epoch: [4] [260/261] learning_rate: 0.299795 loss_vfl: 0.956212 loss_bbox: 0.363727 loss_dfl: 0.215147 loss: 1.558266 eta: 2 days, 2:02:47 batch_cost: 2.0571 data_cost: 0.0011 ips: 27.2225 images/s [10/21 06:50:43] ppdet.engine INFO: Epoch: [5] [ 0/261] learning_rate: 0.299794 loss_vfl: 0.947386 loss_bbox: 0.363727 loss_dfl: 0.215147 loss: 1.558266 eta: 2 days, 2:16:05 batch_cost: 2.7297 data_cost: 0.2307 ips: 20.5152 images/s [10/21 06:51:37] ppdet.engine INFO: Epoch: [5] [ 20/261] learning_rate: 0.299788 loss_vfl: 0.939229 loss_bbox: 0.352037 loss_dfl: 0.207592 loss: 1.510117 eta: 2 days, 2:20:47 batch_cost: 2.6337 data_cost: 0.0012 ips: 21.2625 images/s [10/21 06:52:26] ppdet.engine INFO: Epoch: [5] [ 40/261] learning_rate: 0.299782 loss_vfl: 0.954039 loss_bbox: 0.365835 loss_dfl: 0.218392 loss: 1.543667 eta: 2 days, 2:19:21 batch_cost: 2.3211 data_cost: 0.0012 ips: 24.1262 images/s [10/21 06:53:16] ppdet.engine INFO: Epoch: [5] [ 60/261] learning_rate: 0.299775 loss_vfl: 0.948024 loss_bbox: 0.362369 loss_dfl: 0.214280 loss: 1.537074 eta: 2 days, 2:18:59 batch_cost: 2.3765 data_cost: 0.0013 ips: 23.5639 images/s [10/21 06:54:02] ppdet.engine INFO: Epoch: [5] [ 80/261] learning_rate: 0.299768 loss_vfl: 0.947871 loss_bbox: 0.357550 loss_dfl: 0.211951 loss: 1.508553 eta: 2 days, 2:15:49 batch_cost: 2.2252 data_cost: 0.0012 ips: 25.1666 images/s [10/21 06:54:47] ppdet.engine INFO: Epoch: [5] [100/261] learning_rate: 0.299762 loss_vfl: 0.949688 loss_bbox: 0.353960 loss_dfl: 0.213578 loss: 1.519792 eta: 2 days, 2:10:12 batch_cost: 2.0880 data_cost: 0.0013 ips: 26.8195 images/s [10/21 06:55:35] ppdet.engine INFO: Epoch: [5] [120/261] learning_rate: 0.299755 loss_vfl: 0.959788 loss_bbox: 0.369966 loss_dfl: 0.217365 loss: 1.549948 eta: 2 days, 2:07:59 batch_cost: 2.2686 data_cost: 0.0013 ips: 24.6846 images/s [10/21 06:56:26] ppdet.engine INFO: Epoch: [5] [140/261] learning_rate: 0.299748 loss_vfl: 0.937294 loss_bbox: 0.344672 loss_dfl: 0.210393 loss: 1.523877 eta: 2 days, 2:07:15 batch_cost: 2.3508 data_cost: 0.0012 ips: 23.8220 images/s [10/21 06:57:14] ppdet.engine INFO: Epoch: [5] [160/261] learning_rate: 0.299741 loss_vfl: 0.955313 loss_bbox: 0.362723 loss_dfl: 0.213358 loss: 1.521864 eta: 2 days, 2:05:18 batch_cost: 2.2804 data_cost: 0.0013 ips: 24.5569 images/s [10/21 06:58:03] ppdet.engine INFO: Epoch: [5] [180/261] learning_rate: 0.299734 loss_vfl: 0.956009 loss_bbox: 0.351575 loss_dfl: 0.217518 loss: 1.545496 eta: 2 days, 2:03:55 batch_cost: 2.3119 data_cost: 0.0013 ips: 24.2228 images/s [10/21 06:58:53] ppdet.engine INFO: Epoch: [5] [200/261] learning_rate: 0.299727 loss_vfl: 0.939807 loss_bbox: 0.354136 loss_dfl: 0.208112 loss: 1.517649 eta: 2 days, 2:03:43 batch_cost: 2.3805 data_cost: 0.0013 ips: 23.5241 images/s [10/21 06:59:41] ppdet.engine INFO: Epoch: [5] [220/261] learning_rate: 0.299719 loss_vfl: 0.949811 loss_bbox: 0.372657 loss_dfl: 0.220270 loss: 1.541464 eta: 2 days, 2:01:26 batch_cost: 2.2576 data_cost: 0.0013 ips: 24.8050 images/s [10/21 07:00:31] ppdet.engine INFO: Epoch: [5] [240/261] learning_rate: 0.299712 loss_vfl: 0.956569 loss_bbox: 0.372010 loss_dfl: 0.222001 loss: 1.544012 eta: 2 days, 2:00:18 batch_cost: 2.3242 data_cost: 0.0013 ips: 24.0946 images/s [10/21 07:01:13] ppdet.engine INFO: Epoch: [5] [260/261] learning_rate: 0.299704 loss_vfl: 0.956062 loss_bbox: 0.340751 loss_dfl: 0.202933 loss: 1.519462 eta: 2 days, 1:53:33 batch_cost: 1.9800 data_cost: 0.0013 ips: 28.2832 images/s [10/21 07:01:36] ppdet.engine INFO: Epoch: [6] [ 0/261] learning_rate: 0.299704 loss_vfl: 0.954530 loss_bbox: 0.343443 loss_dfl: 0.207267 loss: 1.513636 eta: 2 days, 2:07:05 batch_cost: 2.8342 data_cost: 0.2112 ips: 19.7589 images/s [10/21 07:02:31] ppdet.engine INFO: Epoch: [6] [ 20/261] learning_rate: 0.299696 loss_vfl: 0.927979 loss_bbox: 0.366890 loss_dfl: 0.211481 loss: 1.487289 eta: 2 days, 2:10:13 batch_cost: 2.5946 data_cost: 0.0012 ips: 21.5836 images/s [10/21 07:03:20] ppdet.engine INFO: Epoch: [6] [ 40/261] learning_rate: 0.299689 loss_vfl: 0.942504 loss_bbox: 0.369052 loss_dfl: 0.222381 loss: 1.543375 eta: 2 days, 2:08:34 batch_cost: 2.3006 data_cost: 0.0013 ips: 24.3412 images/s [10/21 07:04:08] ppdet.engine INFO: Epoch: [6] [ 60/261] learning_rate: 0.299681 loss_vfl: 0.947428 loss_bbox: 0.363727 loss_dfl: 0.211634 loss: 1.529255 eta: 2 days, 2:06:18 batch_cost: 2.2592 data_cost: 0.0013 ips: 24.7877 images/s [10/21 07:04:56] ppdet.engine INFO: Epoch: [6] [ 80/261] learning_rate: 0.299673 loss_vfl: 0.948951 loss_bbox: 0.342665 loss_dfl: 0.207558 loss: 1.549504 eta: 2 days, 2:03:55 batch_cost: 2.2488 data_cost: 0.0013 ips: 24.9020 images/s [10/21 07:05:45] ppdet.engine INFO: Epoch: [6] [100/261] learning_rate: 0.299665 loss_vfl: 0.946104 loss_bbox: 0.369480 loss_dfl: 0.219552 loss: 1.534097 eta: 2 days, 2:01:47 batch_cost: 2.2631 data_cost: 0.0013 ips: 24.7447 images/s [10/21 07:06:35] ppdet.engine INFO: Epoch: [6] [120/261] learning_rate: 0.299657 loss_vfl: 0.955813 loss_bbox: 0.340918 loss_dfl: 0.203102 loss: 1.501181 eta: 2 days, 2:01:19 batch_cost: 2.3714 data_cost: 0.0013 ips: 23.6150 images/s [10/21 07:07:24] ppdet.engine INFO: Epoch: [6] [140/261] learning_rate: 0.299649 loss_vfl: 0.949443 loss_bbox: 0.340368 loss_dfl: 0.209688 loss: 1.504242 eta: 2 days, 1:59:37 batch_cost: 2.2893 data_cost: 0.0013 ips: 24.4616 images/s [10/21 07:08:13] ppdet.engine INFO: Epoch: [6] [160/261] learning_rate: 0.299640 loss_vfl: 0.919392 loss_bbox: 0.381386 loss_dfl: 0.214698 loss: 1.515107 eta: 2 days, 1:58:10 batch_cost: 2.3053 data_cost: 0.0013 ips: 24.2920 images/s [10/21 07:09:01] ppdet.engine INFO: Epoch: [6] [180/261] learning_rate: 0.299632 loss_vfl: 0.924731 loss_bbox: 0.361200 loss_dfl: 0.204215 loss: 1.506576 eta: 2 days, 1:56:03 batch_cost: 2.2571 data_cost: 0.0013 ips: 24.8103 images/s [10/21 07:09:49] ppdet.engine INFO: Epoch: [6] [200/261] learning_rate: 0.299624 loss_vfl: 0.920127 loss_bbox: 0.347174 loss_dfl: 0.210212 loss: 1.485174 eta: 2 days, 1:53:39 batch_cost: 2.2365 data_cost: 0.0013 ips: 25.0393 images/s [10/21 07:10:38] ppdet.engine INFO: Epoch: [6] [220/261] learning_rate: 0.299615 loss_vfl: 0.953314 loss_bbox: 0.354835 loss_dfl: 0.215482 loss: 1.512449 eta: 2 days, 1:52:31 batch_cost: 2.3221 data_cost: 0.0013 ips: 24.1166 images/s [10/21 07:11:27] ppdet.engine INFO: Epoch: [6] [240/261] learning_rate: 0.299606 loss_vfl: 0.945390 loss_bbox: 0.371081 loss_dfl: 0.220005 loss: 1.547736 eta: 2 days, 1:51:31 batch_cost: 2.3320 data_cost: 0.0013 ips: 24.0135 images/s [10/21 07:12:09] ppdet.engine INFO: Epoch: [6] [260/261] learning_rate: 0.299598 loss_vfl: 0.916594 loss_bbox: 0.337802 loss_dfl: 0.208429 loss: 1.468436 eta: 2 days, 1:45:52 batch_cost: 1.9974 data_cost: 0.0012 ips: 28.0369 images/s [10/21 07:12:28] ppdet.engine INFO: Epoch: [7] [ 0/261] learning_rate: 0.299597 loss_vfl: 0.916206 loss_bbox: 0.337047 loss_dfl: 0.208429 loss: 1.465848 eta: 2 days, 1:54:16 batch_cost: 2.6244 data_cost: 0.2424 ips: 21.3386 images/s [10/21 07:13:24] ppdet.engine INFO: Epoch: [7] [ 20/261] learning_rate: 0.299588 loss_vfl: 0.941499 loss_bbox: 0.348689 loss_dfl: 0.206803 loss: 1.477221 eta: 2 days, 1:58:11 batch_cost: 2.6905 data_cost: 0.0013 ips: 20.8136 images/s [10/21 07:14:14] ppdet.engine INFO: Epoch: [7] [ 40/261] learning_rate: 0.299579 loss_vfl: 0.931490 loss_bbox: 0.362270 loss_dfl: 0.209659 loss: 1.500692 eta: 2 days, 1:57:20 batch_cost: 2.3480 data_cost: 0.0013 ips: 23.8501 images/s [10/21 07:15:04] ppdet.engine INFO: Epoch: [7] [ 60/261] learning_rate: 0.299570 loss_vfl: 0.915098 loss_bbox: 0.348096 loss_dfl: 0.208195 loss: 1.490094 eta: 2 days, 1:56:08 batch_cost: 2.3220 data_cost: 0.0012 ips: 24.1171 images/s [10/21 07:15:51] ppdet.engine INFO: Epoch: [7] [ 80/261] learning_rate: 0.299561 loss_vfl: 0.914161 loss_bbox: 0.327978 loss_dfl: 0.206571 loss: 1.458930 eta: 2 days, 1:53:42 batch_cost: 2.2292 data_cost: 0.0013 ips: 25.1217 images/s [10/21 07:16:38] ppdet.engine INFO: Epoch: [7] [100/261] learning_rate: 0.299552 loss_vfl: 0.928141 loss_bbox: 0.360338 loss_dfl: 0.209795 loss: 1.512557 eta: 2 days, 1:50:29 batch_cost: 2.1674 data_cost: 0.0012 ips: 25.8374 images/s [10/21 07:17:25] ppdet.engine INFO: Epoch: [7] [120/261] learning_rate: 0.299543 loss_vfl: 0.939285 loss_bbox: 0.361892 loss_dfl: 0.217767 loss: 1.507071 eta: 2 days, 1:48:15 batch_cost: 2.2382 data_cost: 0.0013 ips: 25.0197 images/s [10/21 07:18:14] ppdet.engine INFO: Epoch: [7] [140/261] learning_rate: 0.299533 loss_vfl: 0.932811 loss_bbox: 0.360059 loss_dfl: 0.217369 loss: 1.511680 eta: 2 days, 1:46:41 batch_cost: 2.2868 data_cost: 0.0012 ips: 24.4879 images/s [10/21 07:19:02] ppdet.engine INFO: Epoch: [7] [160/261] learning_rate: 0.299524 loss_vfl: 0.935132 loss_bbox: 0.367504 loss_dfl: 0.219694 loss: 1.513537 eta: 2 days, 1:45:26 batch_cost: 2.3112 data_cost: 0.0013 ips: 24.2303 images/s [10/21 07:19:51] ppdet.engine INFO: Epoch: [7] [180/261] learning_rate: 0.299514 loss_vfl: 0.924003 loss_bbox: 0.343474 loss_dfl: 0.204661 loss: 1.485200 eta: 2 days, 1:44:08 batch_cost: 2.3068 data_cost: 0.0013 ips: 24.2765 images/s [10/21 07:20:39] ppdet.engine INFO: Epoch: [7] [200/261] learning_rate: 0.299504 loss_vfl: 0.934427 loss_bbox: 0.343253 loss_dfl: 0.210462 loss: 1.478871 eta: 2 days, 1:42:03 batch_cost: 2.2436 data_cost: 0.0014 ips: 24.9594 images/s [10/21 07:21:28] ppdet.engine INFO: Epoch: [7] [220/261] learning_rate: 0.299494 loss_vfl: 0.925443 loss_bbox: 0.367082 loss_dfl: 0.216501 loss: 1.506696 eta: 2 days, 1:40:09 batch_cost: 2.2553 data_cost: 0.0013 ips: 24.8308 images/s [10/21 07:22:18] ppdet.engine INFO: Epoch: [7] 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0.355678 loss_dfl: 0.214375 loss: 1.480135 eta: 2 days, 1:45:24 batch_cost: 2.3220 data_cost: 0.0013 ips: 24.1173 images/s [10/21 07:25:54] ppdet.engine INFO: Epoch: [8] [ 60/261] learning_rate: 0.299443 loss_vfl: 0.947693 loss_bbox: 0.347606 loss_dfl: 0.211736 loss: 1.481387 eta: 2 days, 1:42:46 batch_cost: 2.1946 data_cost: 0.0013 ips: 25.5176 images/s [10/21 07:26:45] ppdet.engine INFO: Epoch: [8] [ 80/261] learning_rate: 0.299433 loss_vfl: 0.919502 loss_bbox: 0.337068 loss_dfl: 0.200531 loss: 1.472890 eta: 2 days, 1:43:00 batch_cost: 2.4371 data_cost: 0.0014 ips: 22.9779 images/s [10/21 07:27:34] ppdet.engine INFO: Epoch: [8] [100/261] learning_rate: 0.299422 loss_vfl: 0.907980 loss_bbox: 0.344385 loss_dfl: 0.208489 loss: 1.472512 eta: 2 days, 1:41:43 batch_cost: 2.3080 data_cost: 0.0013 ips: 24.2635 images/s [10/21 07:28:24] ppdet.engine INFO: Epoch: [8] [120/261] learning_rate: 0.299412 loss_vfl: 0.930471 loss_bbox: 0.357101 loss_dfl: 0.212015 loss: 1.517431 eta: 2 days, 1:40:46 batch_cost: 2.3352 data_cost: 0.0097 ips: 23.9810 images/s [10/21 07:29:13] ppdet.engine INFO: Epoch: [8] [140/261] learning_rate: 0.299401 loss_vfl: 0.922901 loss_bbox: 0.342319 loss_dfl: 0.205531 loss: 1.468287 eta: 2 days, 1:39:06 batch_cost: 2.2727 data_cost: 0.0013 ips: 24.6404 images/s [10/21 07:30:00] ppdet.engine INFO: Epoch: [8] [160/261] learning_rate: 0.299390 loss_vfl: 0.929729 loss_bbox: 0.339973 loss_dfl: 0.209060 loss: 1.457669 eta: 2 days, 1:37:21 batch_cost: 2.2654 data_cost: 0.0013 ips: 24.7198 images/s [10/21 07:30:47] ppdet.engine INFO: Epoch: [8] [180/261] learning_rate: 0.299379 loss_vfl: 0.910803 loss_bbox: 0.350541 loss_dfl: 0.220870 loss: 1.489376 eta: 2 days, 1:35:39 batch_cost: 2.2654 data_cost: 0.0013 ips: 24.7198 images/s [10/21 07:31:36] ppdet.engine INFO: Epoch: [8] [200/261] learning_rate: 0.299368 loss_vfl: 0.919473 loss_bbox: 0.340932 loss_dfl: 0.210227 loss: 1.481882 eta: 2 days, 1:34:10 batch_cost: 2.2852 data_cost: 0.0013 ips: 24.5053 images/s [10/21 07:32:26] ppdet.engine INFO: Epoch: [8] [220/261] learning_rate: 0.299357 loss_vfl: 0.910073 loss_bbox: 0.350091 loss_dfl: 0.209725 loss: 1.474009 eta: 2 days, 1:32:35 batch_cost: 2.2754 data_cost: 0.0012 ips: 24.6111 images/s [10/21 07:33:15] ppdet.engine INFO: Epoch: [8] [240/261] learning_rate: 0.299346 loss_vfl: 0.919622 loss_bbox: 0.376551 loss_dfl: 0.216464 loss: 1.490879 eta: 2 days, 1:31:17 batch_cost: 2.2990 data_cost: 0.0013 ips: 24.3584 images/s [10/21 07:33:55] ppdet.engine INFO: Epoch: [8] [260/261] learning_rate: 0.299335 loss_vfl: 0.915833 loss_bbox: 0.361693 loss_dfl: 0.213815 loss: 1.490547 eta: 2 days, 1:25:42 batch_cost: 1.9007 data_cost: 0.0012 ips: 29.4633 images/s [10/21 07:34:18] ppdet.engine INFO: Epoch: [9] [ 0/261] learning_rate: 0.299334 loss_vfl: 0.918302 loss_bbox: 0.361693 loss_dfl: 0.215227 loss: 1.511323 eta: 2 days, 1:34:25 batch_cost: 2.7564 data_cost: 0.4707 ips: 20.3164 images/s [10/21 07:35:11] ppdet.engine INFO: Epoch: [9] [ 20/261] learning_rate: 0.299323 loss_vfl: 0.922743 loss_bbox: 0.353835 loss_dfl: 0.213834 loss: 1.471603 eta: 2 days, 1:35:32 batch_cost: 2.5268 data_cost: 0.0014 ips: 22.1620 images/s [10/21 07:35:58] ppdet.engine INFO: Epoch: [9] [ 40/261] learning_rate: 0.299311 loss_vfl: 0.910691 loss_bbox: 0.359164 loss_dfl: 0.218475 loss: 1.492066 eta: 2 days, 1:33:55 batch_cost: 2.2724 data_cost: 0.0013 ips: 24.6433 images/s [10/21 07:36:47] ppdet.engine INFO: Epoch: [9] [ 60/261] learning_rate: 0.299300 loss_vfl: 0.897771 loss_bbox: 0.343314 loss_dfl: 0.212433 loss: 1.469963 eta: 2 days, 1:32:04 batch_cost: 2.2497 data_cost: 0.0013 ips: 24.8927 images/s [10/21 07:37:36] ppdet.engine INFO: Epoch: [9] [ 80/261] learning_rate: 0.299288 loss_vfl: 0.897223 loss_bbox: 0.336803 loss_dfl: 0.211032 loss: 1.447355 eta: 2 days, 1:31:33 batch_cost: 2.3753 data_cost: 0.0012 ips: 23.5758 images/s [10/21 07:38:25] ppdet.engine INFO: Epoch: [9] [100/261] learning_rate: 0.299276 loss_vfl: 0.913139 loss_bbox: 0.352156 loss_dfl: 0.209471 loss: 1.499803 eta: 2 days, 1:29:51 batch_cost: 2.2606 data_cost: 0.0013 ips: 24.7718 images/s [10/21 07:39:15] ppdet.engine INFO: Epoch: [9] [120/261] learning_rate: 0.299265 loss_vfl: 0.926785 loss_bbox: 0.327842 loss_dfl: 0.209058 loss: 1.480709 eta: 2 days, 1:28:47 batch_cost: 2.3208 data_cost: 0.0012 ips: 24.1297 images/s [10/21 07:40:02] ppdet.engine INFO: Epoch: [9] [140/261] learning_rate: 0.299253 loss_vfl: 0.905160 loss_bbox: 0.347908 loss_dfl: 0.214646 loss: 1.464998 eta: 2 days, 1:27:18 batch_cost: 2.2804 data_cost: 0.0013 ips: 24.5574 images/s [10/21 07:40:51] ppdet.engine INFO: Epoch: [9] [160/261] learning_rate: 0.299241 loss_vfl: 0.906509 loss_bbox: 0.355232 loss_dfl: 0.207558 loss: 1.484515 eta: 2 days, 1:25:58 batch_cost: 2.2936 data_cost: 0.0012 ips: 24.4163 images/s [10/21 07:41:38] ppdet.engine INFO: Epoch: [9] [180/261] learning_rate: 0.299228 loss_vfl: 0.916079 loss_bbox: 0.333388 loss_dfl: 0.204994 loss: 1.464867 eta: 2 days, 1:24:00 batch_cost: 2.2297 data_cost: 0.0012 ips: 25.1160 images/s [10/21 07:42:27] ppdet.engine INFO: Epoch: [9] [200/261] learning_rate: 0.299216 loss_vfl: 0.920143 loss_bbox: 0.327865 loss_dfl: 0.207961 loss: 1.452198 eta: 2 days, 1:22:25 batch_cost: 2.2673 data_cost: 0.0012 ips: 24.6991 images/s [10/21 07:43:16] ppdet.engine INFO: Epoch: [9] [220/261] learning_rate: 0.299204 loss_vfl: 0.897910 loss_bbox: 0.338288 loss_dfl: 0.202492 loss: 1.446975 eta: 2 days, 1:21:41 batch_cost: 2.3499 data_cost: 0.0012 ips: 23.8303 images/s [10/21 07:44:05] ppdet.engine INFO: Epoch: [9] [240/261] learning_rate: 0.299191 loss_vfl: 0.909413 loss_bbox: 0.342201 loss_dfl: 0.208728 loss: 1.448473 eta: 2 days, 1:20:27 batch_cost: 2.3006 data_cost: 0.0012 ips: 24.3412 images/s [10/21 07:44:48] ppdet.engine INFO: Epoch: [9] [260/261] learning_rate: 0.299179 loss_vfl: 0.910257 loss_bbox: 0.355704 loss_dfl: 0.213155 loss: 1.483877 eta: 2 days, 1:16:46 batch_cost: 2.0464 data_cost: 0.0012 ips: 27.3648 images/s /usr/local/lib/python3.7/site-packages/paddle/framework/io.py:412: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working if isinstance(obj, collections.Iterable) and not isinstance(obj, ( [10/21 07:44:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco loading annotations into memory... Done (t=1.12s) creating index... index created! loading annotations into memory... Done (t=1.86s) creating index... index created! [10/21 07:45:04] ppdet.engine INFO: Eval iter: 0 [10/21 07:45:26] ppdet.engine INFO: Eval iter: 100 [10/21 07:45:42] ppdet.engine INFO: Eval iter: 200 [10/21 07:45:58] ppdet.engine INFO: Eval iter: 300 [10/21 07:46:15] ppdet.engine INFO: Eval iter: 400 [10/21 07:46:31] ppdet.engine INFO: Eval iter: 500 [10/21 07:46:47] ppdet.engine INFO: Eval iter: 600 [10/21 07:47:01] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.91s) creating index... index created! [10/21 07:47:02] 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=70.32s). Accumulating evaluation results... DONE (t=13.04s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.272 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.424 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.285 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.090 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.282 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.446 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 ] = 0.398 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.426 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.162 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.471 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.660 [10/21 07:48:32] ppdet.engine INFO: Total sample number: 4952, averge FPS: 44.85702673532511 [10/21 07:48:32] ppdet.engine INFO: Best test bbox ap is 0.272. [10/21 07:48:33] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 07:48:36] ppdet.engine INFO: Epoch: [10] [ 0/261] learning_rate: 0.299178 loss_vfl: 0.913000 loss_bbox: 0.351563 loss_dfl: 0.210656 loss: 1.477411 eta: 2 days, 1:17:16 batch_cost: 2.1529 data_cost: 0.0014 ips: 26.0116 images/s [10/21 07:49:29] ppdet.engine INFO: Epoch: [10] [ 20/261] learning_rate: 0.299166 loss_vfl: 0.901823 loss_bbox: 0.361967 loss_dfl: 0.209935 loss: 1.493000 eta: 2 days, 1:18:01 batch_cost: 2.5030 data_cost: 0.0016 ips: 22.3728 images/s [10/21 07:50:18] ppdet.engine INFO: Epoch: [10] [ 40/261] learning_rate: 0.299153 loss_vfl: 0.894689 loss_bbox: 0.375100 loss_dfl: 0.216653 loss: 1.489630 eta: 2 days, 1:17:18 batch_cost: 2.3539 data_cost: 0.0013 ips: 23.7898 images/s [10/21 07:51:06] ppdet.engine INFO: Epoch: [10] [ 60/261] learning_rate: 0.299140 loss_vfl: 0.907359 loss_bbox: 0.320795 loss_dfl: 0.205044 loss: 1.434696 eta: 2 days, 1:15:18 batch_cost: 2.2155 data_cost: 0.0013 ips: 25.2768 images/s [10/21 07:51:56] ppdet.engine INFO: Epoch: [10] [ 80/261] learning_rate: 0.299127 loss_vfl: 0.899951 loss_bbox: 0.344362 loss_dfl: 0.205821 loss: 1.464171 eta: 2 days, 1:14:19 batch_cost: 2.3239 data_cost: 0.0012 ips: 24.0972 images/s [10/21 07:52:42] ppdet.engine INFO: Epoch: [10] [100/261] learning_rate: 0.299114 loss_vfl: 0.901285 loss_bbox: 0.346603 loss_dfl: 0.207790 loss: 1.455038 eta: 2 days, 1:12:14 batch_cost: 2.2035 data_cost: 0.0013 ips: 25.4143 images/s [10/21 07:53:31] ppdet.engine INFO: Epoch: [10] [120/261] learning_rate: 0.299101 loss_vfl: 0.895518 loss_bbox: 0.346466 loss_dfl: 0.211203 loss: 1.458187 eta: 2 days, 1:10:55 batch_cost: 2.2851 data_cost: 0.0012 ips: 24.5065 images/s [10/21 07:54:20] ppdet.engine INFO: Epoch: [10] [140/261] learning_rate: 0.299088 loss_vfl: 0.915754 loss_bbox: 0.333002 loss_dfl: 0.202216 loss: 1.435093 eta: 2 days, 1:09:19 batch_cost: 2.2534 data_cost: 0.0014 ips: 24.8513 images/s [10/21 07:55:09] ppdet.engine INFO: Epoch: [10] [160/261] learning_rate: 0.299075 loss_vfl: 0.902924 loss_bbox: 0.330683 loss_dfl: 0.212148 loss: 1.442154 eta: 2 days, 1:07:57 batch_cost: 2.2776 data_cost: 0.0013 ips: 24.5869 images/s [10/21 07:55:55] ppdet.engine INFO: Epoch: [10] [180/261] learning_rate: 0.299061 loss_vfl: 0.912812 loss_bbox: 0.340538 loss_dfl: 0.211402 loss: 1.449515 eta: 2 days, 1:05:38 batch_cost: 2.1718 data_cost: 0.0013 ips: 25.7850 images/s [10/21 07:56:44] ppdet.engine INFO: Epoch: [10] [200/261] learning_rate: 0.299048 loss_vfl: 0.895459 loss_bbox: 0.330475 loss_dfl: 0.204088 loss: 1.440172 eta: 2 days, 1:04:37 batch_cost: 2.3134 data_cost: 0.0013 ips: 24.2066 images/s [10/21 07:57:33] ppdet.engine INFO: Epoch: [10] [220/261] learning_rate: 0.299034 loss_vfl: 0.907222 loss_bbox: 0.346417 loss_dfl: 0.208873 loss: 1.463132 eta: 2 days, 1:03:51 batch_cost: 2.3425 data_cost: 0.0012 ips: 23.9057 images/s [10/21 07:58:23] ppdet.engine INFO: Epoch: [10] [240/261] learning_rate: 0.299020 loss_vfl: 0.911738 loss_bbox: 0.341124 loss_dfl: 0.210295 loss: 1.469045 eta: 2 days, 1:02:45 batch_cost: 2.3051 data_cost: 0.0013 ips: 24.2945 images/s [10/21 07:59:06] ppdet.engine INFO: Epoch: [10] [260/261] learning_rate: 0.299007 loss_vfl: 0.904892 loss_bbox: 0.334645 loss_dfl: 0.206889 loss: 1.458446 eta: 2 days, 0:59:05 batch_cost: 2.0102 data_cost: 0.0012 ips: 27.8577 images/s [10/21 07:59:31] ppdet.engine INFO: Epoch: [11] [ 0/261] learning_rate: 0.299006 loss_vfl: 0.910116 loss_bbox: 0.334645 loss_dfl: 0.211562 loss: 1.478343 eta: 2 days, 1:06:57 batch_cost: 2.8565 data_cost: 0.5482 ips: 19.6044 images/s [10/21 08:00:24] ppdet.engine INFO: Epoch: [11] [ 20/261] learning_rate: 0.298992 loss_vfl: 0.908042 loss_bbox: 0.340786 loss_dfl: 0.208003 loss: 1.470799 eta: 2 days, 1:07:45 batch_cost: 2.5264 data_cost: 0.0013 ips: 22.1655 images/s [10/21 08:01:14] ppdet.engine INFO: Epoch: [11] [ 40/261] learning_rate: 0.298978 loss_vfl: 0.900400 loss_bbox: 0.363888 loss_dfl: 0.223510 loss: 1.477882 eta: 2 days, 1:07:29 batch_cost: 2.4041 data_cost: 0.0013 ips: 23.2937 images/s [10/21 08:02:00] ppdet.engine INFO: Epoch: [11] [ 60/261] learning_rate: 0.298964 loss_vfl: 0.898371 loss_bbox: 0.353283 loss_dfl: 0.215751 loss: 1.464239 eta: 2 days, 1:04:46 batch_cost: 2.1205 data_cost: 0.0013 ips: 26.4095 images/s [10/21 08:02:46] ppdet.engine INFO: Epoch: [11] [ 80/261] learning_rate: 0.298950 loss_vfl: 0.893930 loss_bbox: 0.330744 loss_dfl: 0.208340 loss: 1.433684 eta: 2 days, 1:01:52 batch_cost: 2.0958 data_cost: 0.0013 ips: 26.7206 images/s [10/21 08:03:36] ppdet.engine INFO: Epoch: [11] [100/261] learning_rate: 0.298936 loss_vfl: 0.891930 loss_bbox: 0.333724 loss_dfl: 0.203727 loss: 1.434494 eta: 2 days, 1:00:30 batch_cost: 2.2725 data_cost: 0.0013 ips: 24.6424 images/s [10/21 08:04:24] ppdet.engine INFO: Epoch: [11] [120/261] learning_rate: 0.298921 loss_vfl: 0.917181 loss_bbox: 0.327448 loss_dfl: 0.199789 loss: 1.421184 eta: 2 days, 0:59:22 batch_cost: 2.2999 data_cost: 0.0013 ips: 24.3487 images/s [10/21 08:05:13] ppdet.engine INFO: Epoch: [11] [140/261] learning_rate: 0.298907 loss_vfl: 0.890574 loss_bbox: 0.347428 loss_dfl: 0.213240 loss: 1.458308 eta: 2 days, 0:57:52 batch_cost: 2.2551 data_cost: 0.0014 ips: 24.8324 images/s [10/21 08:06:02] ppdet.engine INFO: Epoch: [11] [160/261] learning_rate: 0.298892 loss_vfl: 0.900659 loss_bbox: 0.345118 loss_dfl: 0.201414 loss: 1.438477 eta: 2 days, 0:56:41 batch_cost: 2.2943 data_cost: 0.0013 ips: 24.4086 images/s [10/21 08:06:51] ppdet.engine INFO: Epoch: [11] [180/261] learning_rate: 0.298878 loss_vfl: 0.898764 loss_bbox: 0.330820 loss_dfl: 0.201242 loss: 1.434255 eta: 2 days, 0:55:50 batch_cost: 2.3306 data_cost: 0.0012 ips: 24.0287 images/s [10/21 08:07:41] ppdet.engine INFO: Epoch: [11] [200/261] learning_rate: 0.298863 loss_vfl: 0.896812 loss_bbox: 0.344201 loss_dfl: 0.210032 loss: 1.432222 eta: 2 days, 0:55:02 batch_cost: 2.3392 data_cost: 0.0013 ips: 23.9395 images/s [10/21 08:08:32] ppdet.engine INFO: Epoch: [11] [220/261] learning_rate: 0.298848 loss_vfl: 0.889586 loss_bbox: 0.313053 loss_dfl: 0.198820 loss: 1.422873 eta: 2 days, 0:54:19 batch_cost: 2.3483 data_cost: 0.0014 ips: 23.8466 images/s [10/21 08:09:22] ppdet.engine INFO: Epoch: [11] [240/261] learning_rate: 0.298833 loss_vfl: 0.912892 loss_bbox: 0.341827 loss_dfl: 0.205402 loss: 1.451377 eta: 2 days, 0:53:46 batch_cost: 2.3701 data_cost: 0.0013 ips: 23.6277 images/s [10/21 08:10:05] ppdet.engine INFO: Epoch: [11] [260/261] learning_rate: 0.298818 loss_vfl: 0.887623 loss_bbox: 0.336879 loss_dfl: 0.206600 loss: 1.435278 eta: 2 days, 0:50:26 batch_cost: 2.0230 data_cost: 0.0012 ips: 27.6816 images/s [10/21 08:10:30] ppdet.engine INFO: Epoch: [12] [ 0/261] learning_rate: 0.298817 loss_vfl: 0.885089 loss_bbox: 0.336879 loss_dfl: 0.206600 loss: 1.435278 eta: 2 days, 0:57:12 batch_cost: 2.8978 data_cost: 0.5218 ips: 19.3249 images/s [10/21 08:11:23] ppdet.engine INFO: Epoch: [12] [ 20/261] learning_rate: 0.298802 loss_vfl: 0.895332 loss_bbox: 0.333202 loss_dfl: 0.202983 loss: 1.401158 eta: 2 days, 0:57:50 batch_cost: 2.5230 data_cost: 0.0013 ips: 22.1961 images/s [10/21 08:12:11] ppdet.engine INFO: Epoch: [12] [ 40/261] learning_rate: 0.298787 loss_vfl: 0.888488 loss_bbox: 0.325767 loss_dfl: 0.200950 loss: 1.430595 eta: 2 days, 0:56:28 batch_cost: 2.2711 data_cost: 0.0014 ips: 24.6579 images/s [10/21 08:12:59] ppdet.engine INFO: Epoch: [12] [ 60/261] learning_rate: 0.298772 loss_vfl: 0.901228 loss_bbox: 0.337832 loss_dfl: 0.209167 loss: 1.443680 eta: 2 days, 0:55:34 batch_cost: 2.3303 data_cost: 0.0013 ips: 24.0308 images/s [10/21 08:13:49] ppdet.engine INFO: Epoch: [12] [ 80/261] learning_rate: 0.298756 loss_vfl: 0.879940 loss_bbox: 0.349732 loss_dfl: 0.208555 loss: 1.457582 eta: 2 days, 0:54:48 batch_cost: 2.3467 data_cost: 0.0013 ips: 23.8636 images/s [10/21 08:14:35] ppdet.engine INFO: Epoch: [12] [100/261] learning_rate: 0.298741 loss_vfl: 0.903316 loss_bbox: 0.330233 loss_dfl: 0.202521 loss: 1.439187 eta: 2 days, 0:52:46 batch_cost: 2.1837 data_cost: 0.0014 ips: 25.6447 images/s [10/21 08:15:24] ppdet.engine INFO: Epoch: [12] [120/261] learning_rate: 0.298725 loss_vfl: 0.902428 loss_bbox: 0.339364 loss_dfl: 0.201214 loss: 1.446907 eta: 2 days, 0:51:43 batch_cost: 2.3075 data_cost: 0.0013 ips: 24.2689 images/s [10/21 08:16:13] ppdet.engine INFO: Epoch: [12] [140/261] learning_rate: 0.298709 loss_vfl: 0.896052 loss_bbox: 0.341726 loss_dfl: 0.211334 loss: 1.455179 eta: 2 days, 0:50:52 batch_cost: 2.3353 data_cost: 0.0013 ips: 23.9793 images/s [10/21 08:17:03] ppdet.engine INFO: Epoch: [12] [160/261] learning_rate: 0.298693 loss_vfl: 0.884888 loss_bbox: 0.356093 loss_dfl: 0.212581 loss: 1.466732 eta: 2 days, 0:50:03 batch_cost: 2.3395 data_cost: 0.0013 ips: 23.9366 images/s [10/21 08:17:53] ppdet.engine INFO: Epoch: [12] [180/261] learning_rate: 0.298678 loss_vfl: 0.896925 loss_bbox: 0.331664 loss_dfl: 0.198452 loss: 1.435688 eta: 2 days, 0:49:01 batch_cost: 2.3098 data_cost: 0.0013 ips: 24.2442 images/s [10/21 08:18:40] ppdet.engine INFO: Epoch: [12] [200/261] learning_rate: 0.298662 loss_vfl: 0.881330 loss_bbox: 0.334508 loss_dfl: 0.203618 loss: 1.430191 eta: 2 days, 0:47:34 batch_cost: 2.2544 data_cost: 0.0014 ips: 24.8405 images/s [10/21 08:19:29] ppdet.engine INFO: Epoch: [12] [220/261] learning_rate: 0.298645 loss_vfl: 0.902921 loss_bbox: 0.321072 loss_dfl: 0.196159 loss: 1.418112 eta: 2 days, 0:46:33 batch_cost: 2.3124 data_cost: 0.0012 ips: 24.2178 images/s [10/21 08:20:15] ppdet.engine INFO: Epoch: [12] [240/261] learning_rate: 0.298629 loss_vfl: 0.888519 loss_bbox: 0.328282 loss_dfl: 0.203474 loss: 1.440958 eta: 2 days, 0:44:12 batch_cost: 2.1309 data_cost: 0.0014 ips: 26.2798 images/s [10/21 08:20:59] ppdet.engine INFO: Epoch: [12] [260/261] learning_rate: 0.298613 loss_vfl: 0.895477 loss_bbox: 0.312089 loss_dfl: 0.200449 loss: 1.417805 eta: 2 days, 0:41:25 batch_cost: 2.0686 data_cost: 0.0011 ips: 27.0718 images/s [10/21 08:21:21] ppdet.engine INFO: Epoch: [13] [ 0/261] learning_rate: 0.298612 loss_vfl: 0.898374 loss_bbox: 0.312089 loss_dfl: 0.200149 loss: 1.417805 eta: 2 days, 0:46:36 batch_cost: 2.7920 data_cost: 0.4957 ips: 20.0570 images/s [10/21 08:22:13] ppdet.engine INFO: Epoch: [13] [ 20/261] learning_rate: 0.298596 loss_vfl: 0.890630 loss_bbox: 0.321995 loss_dfl: 0.196996 loss: 1.407748 eta: 2 days, 0:46:20 batch_cost: 2.4134 data_cost: 0.0014 ips: 23.2039 images/s [10/21 08:23:01] ppdet.engine INFO: Epoch: [13] [ 40/261] learning_rate: 0.298579 loss_vfl: 0.880259 loss_bbox: 0.326997 loss_dfl: 0.202458 loss: 1.416268 eta: 2 days, 0:44:59 batch_cost: 2.2655 data_cost: 0.0014 ips: 24.7186 images/s [10/21 08:23:51] ppdet.engine INFO: Epoch: [13] [ 60/261] learning_rate: 0.298563 loss_vfl: 0.871330 loss_bbox: 0.328841 loss_dfl: 0.202834 loss: 1.414265 eta: 2 days, 0:44:03 batch_cost: 2.3234 data_cost: 0.0013 ips: 24.1030 images/s [10/21 08:24:40] ppdet.engine INFO: Epoch: [13] [ 80/261] learning_rate: 0.298546 loss_vfl: 0.908954 loss_bbox: 0.334881 loss_dfl: 0.206364 loss: 1.475693 eta: 2 days, 0:42:23 batch_cost: 2.2226 data_cost: 0.0013 ips: 25.1962 images/s [10/21 08:25:28] ppdet.engine INFO: Epoch: [13] [100/261] learning_rate: 0.298529 loss_vfl: 0.887971 loss_bbox: 0.323038 loss_dfl: 0.195847 loss: 1.417719 eta: 2 days, 0:41:08 batch_cost: 2.2761 data_cost: 0.0014 ips: 24.6034 images/s [10/21 08:26:16] ppdet.engine INFO: Epoch: [13] [120/261] learning_rate: 0.298512 loss_vfl: 0.893135 loss_bbox: 0.328894 loss_dfl: 0.200714 loss: 1.438327 eta: 2 days, 0:39:41 batch_cost: 2.2501 data_cost: 0.0013 ips: 24.8873 images/s [10/21 08:27:05] ppdet.engine INFO: Epoch: [13] [140/261] learning_rate: 0.298495 loss_vfl: 0.887125 loss_bbox: 0.354643 loss_dfl: 0.211694 loss: 1.452623 eta: 2 days, 0:39:00 batch_cost: 2.3553 data_cost: 0.0013 ips: 23.7758 images/s [10/21 08:27:54] ppdet.engine INFO: Epoch: [13] [160/261] learning_rate: 0.298478 loss_vfl: 0.883812 loss_bbox: 0.310714 loss_dfl: 0.191119 loss: 1.413593 eta: 2 days, 0:38:06 batch_cost: 2.3246 data_cost: 0.0012 ips: 24.0904 images/s [10/21 08:28:44] ppdet.engine INFO: Epoch: [13] [180/261] learning_rate: 0.298461 loss_vfl: 0.902172 loss_bbox: 0.343681 loss_dfl: 0.207003 loss: 1.454222 eta: 2 days, 0:37:00 batch_cost: 2.2965 data_cost: 0.0013 ips: 24.3845 images/s [10/21 08:29:33] ppdet.engine INFO: Epoch: [13] [200/261] learning_rate: 0.298444 loss_vfl: 0.890010 loss_bbox: 0.347769 loss_dfl: 0.215443 loss: 1.445115 eta: 2 days, 0:36:17 batch_cost: 2.3510 data_cost: 0.0014 ips: 23.8199 images/s [10/21 08:30:23] ppdet.engine INFO: Epoch: [13] [220/261] learning_rate: 0.298427 loss_vfl: 0.880200 loss_bbox: 0.339335 loss_dfl: 0.200528 loss: 1.428706 eta: 2 days, 0:35:16 batch_cost: 2.3102 data_cost: 0.0013 ips: 24.2404 images/s [10/21 08:31:11] ppdet.engine INFO: Epoch: [13] [240/261] learning_rate: 0.298409 loss_vfl: 0.899977 loss_bbox: 0.338897 loss_dfl: 0.212286 loss: 1.421124 eta: 2 days, 0:33:56 batch_cost: 2.2609 data_cost: 0.0013 ips: 24.7685 images/s [10/21 08:31:53] ppdet.engine INFO: Epoch: [13] [260/261] learning_rate: 0.298392 loss_vfl: 0.890147 loss_bbox: 0.314114 loss_dfl: 0.199189 loss: 1.382771 eta: 2 days, 0:31:01 batch_cost: 2.0272 data_cost: 0.0012 ips: 27.6248 images/s [10/21 08:32:18] ppdet.engine INFO: Epoch: [14] [ 0/261] learning_rate: 0.298391 loss_vfl: 0.890147 loss_bbox: 0.314114 loss_dfl: 0.199189 loss: 1.382771 eta: 2 days, 0:36:37 batch_cost: 2.8482 data_cost: 0.3443 ips: 19.6617 images/s [10/21 08:33:14] ppdet.engine INFO: Epoch: [14] [ 20/261] learning_rate: 0.298373 loss_vfl: 0.883371 loss_bbox: 0.335387 loss_dfl: 0.206317 loss: 1.443191 eta: 2 days, 0:37:42 batch_cost: 2.6204 data_cost: 0.0013 ips: 21.3705 images/s [10/21 08:33:59] ppdet.engine INFO: Epoch: [14] [ 40/261] learning_rate: 0.298355 loss_vfl: 0.876925 loss_bbox: 0.323005 loss_dfl: 0.205086 loss: 1.408334 eta: 2 days, 0:35:37 batch_cost: 2.1531 data_cost: 0.0013 ips: 26.0090 images/s [10/21 08:34:48] ppdet.engine INFO: Epoch: [14] [ 60/261] learning_rate: 0.298338 loss_vfl: 0.896957 loss_bbox: 0.339190 loss_dfl: 0.209513 loss: 1.437004 eta: 2 days, 0:34:26 batch_cost: 2.2853 data_cost: 0.0013 ips: 24.5049 images/s [10/21 08:35:36] ppdet.engine INFO: Epoch: [14] [ 80/261] learning_rate: 0.298320 loss_vfl: 0.888254 loss_bbox: 0.352065 loss_dfl: 0.207674 loss: 1.438762 eta: 2 days, 0:32:37 batch_cost: 2.1873 data_cost: 0.0013 ips: 25.6025 images/s [10/21 08:36:24] ppdet.engine INFO: Epoch: [14] [100/261] learning_rate: 0.298302 loss_vfl: 0.868659 loss_bbox: 0.338442 loss_dfl: 0.200855 loss: 1.407740 eta: 2 days, 0:31:08 batch_cost: 2.2386 data_cost: 0.0014 ips: 25.0162 images/s [10/21 08:37:11] ppdet.engine INFO: Epoch: [14] [120/261] learning_rate: 0.298284 loss_vfl: 0.871248 loss_bbox: 0.312811 loss_dfl: 0.195840 loss: 1.404978 eta: 2 days, 0:29:08 batch_cost: 2.1576 data_cost: 0.0013 ips: 25.9552 images/s [10/21 08:37:59] ppdet.engine INFO: Epoch: [14] [140/261] learning_rate: 0.298265 loss_vfl: 0.877739 loss_bbox: 0.335018 loss_dfl: 0.200886 loss: 1.425929 eta: 2 days, 0:27:58 batch_cost: 2.2839 data_cost: 0.0102 ips: 24.5194 images/s [10/21 08:38:48] ppdet.engine INFO: Epoch: [14] [160/261] learning_rate: 0.298247 loss_vfl: 0.883170 loss_bbox: 0.331045 loss_dfl: 0.202546 loss: 1.398889 eta: 2 days, 0:26:53 batch_cost: 2.2950 data_cost: 0.0013 ips: 24.4006 images/s [10/21 08:39:36] ppdet.engine INFO: Epoch: [14] [180/261] learning_rate: 0.298229 loss_vfl: 0.874057 loss_bbox: 0.324758 loss_dfl: 0.209678 loss: 1.432974 eta: 2 days, 0:25:21 batch_cost: 2.2253 data_cost: 0.0013 ips: 25.1651 images/s [10/21 08:40:26] ppdet.engine INFO: Epoch: [14] [200/261] learning_rate: 0.298210 loss_vfl: 0.888851 loss_bbox: 0.353552 loss_dfl: 0.212994 loss: 1.468328 eta: 2 days, 0:25:00 batch_cost: 2.4076 data_cost: 0.0013 ips: 23.2599 images/s [10/21 08:41:15] ppdet.engine INFO: Epoch: [14] [220/261] learning_rate: 0.298192 loss_vfl: 0.886431 loss_bbox: 0.340493 loss_dfl: 0.205239 loss: 1.443355 eta: 2 days, 0:23:41 batch_cost: 2.2579 data_cost: 0.0014 ips: 24.8023 images/s [10/21 08:42:01] ppdet.engine INFO: Epoch: [14] [240/261] learning_rate: 0.298173 loss_vfl: 0.891562 loss_bbox: 0.331704 loss_dfl: 0.201889 loss: 1.417080 eta: 2 days, 0:22:08 batch_cost: 2.2191 data_cost: 0.0014 ips: 25.2353 images/s [10/21 08:42:44] ppdet.engine INFO: Epoch: [14] [260/261] learning_rate: 0.298154 loss_vfl: 0.894690 loss_bbox: 0.331081 loss_dfl: 0.204271 loss: 1.440621 eta: 2 days, 0:19:13 batch_cost: 2.0041 data_cost: 0.0011 ips: 27.9425 images/s [10/21 08:43:06] ppdet.engine INFO: Epoch: [15] [ 0/261] learning_rate: 0.298153 loss_vfl: 0.894690 loss_bbox: 0.328397 loss_dfl: 0.204271 loss: 1.440621 eta: 2 days, 0:23:39 batch_cost: 2.6204 data_cost: 0.2325 ips: 21.3708 images/s [10/21 08:44:04] ppdet.engine INFO: Epoch: [15] [ 20/261] learning_rate: 0.298134 loss_vfl: 0.873283 loss_bbox: 0.337041 loss_dfl: 0.202430 loss: 1.387812 eta: 2 days, 0:25:36 batch_cost: 2.7756 data_cost: 0.0013 ips: 20.1760 images/s [10/21 08:44:51] ppdet.engine INFO: Epoch: [15] [ 40/261] learning_rate: 0.298115 loss_vfl: 0.880313 loss_bbox: 0.318069 loss_dfl: 0.200935 loss: 1.398955 eta: 2 days, 0:23:52 batch_cost: 2.1933 data_cost: 0.0013 ips: 25.5325 images/s [10/21 08:45:39] ppdet.engine INFO: Epoch: [15] [ 60/261] learning_rate: 0.298096 loss_vfl: 0.878640 loss_bbox: 0.314918 loss_dfl: 0.199152 loss: 1.401593 eta: 2 days, 0:22:33 batch_cost: 2.2587 data_cost: 0.0013 ips: 24.7930 images/s [10/21 08:46:30] ppdet.engine INFO: Epoch: [15] [ 80/261] learning_rate: 0.298077 loss_vfl: 0.889778 loss_bbox: 0.338003 loss_dfl: 0.208609 loss: 1.443057 eta: 2 days, 0:21:56 batch_cost: 2.3696 data_cost: 0.0013 ips: 23.6329 images/s [10/21 08:47:18] ppdet.engine INFO: Epoch: [15] [100/261] learning_rate: 0.298058 loss_vfl: 0.864669 loss_bbox: 0.325443 loss_dfl: 0.198918 loss: 1.391383 eta: 2 days, 0:20:23 batch_cost: 2.2178 data_cost: 0.0013 ips: 25.2503 images/s [10/21 08:48:08] ppdet.engine INFO: Epoch: [15] [120/261] learning_rate: 0.298039 loss_vfl: 0.879746 loss_bbox: 0.330540 loss_dfl: 0.206628 loss: 1.421183 eta: 2 days, 0:19:40 batch_cost: 2.3530 data_cost: 0.0014 ips: 23.7995 images/s [10/21 08:48:58] ppdet.engine INFO: Epoch: [15] [140/261] learning_rate: 0.298019 loss_vfl: 0.863829 loss_bbox: 0.359879 loss_dfl: 0.218545 loss: 1.434961 eta: 2 days, 0:18:52 batch_cost: 2.3388 data_cost: 0.0014 ips: 23.9439 images/s [10/21 08:49:48] ppdet.engine INFO: Epoch: [15] [160/261] learning_rate: 0.298000 loss_vfl: 0.853654 loss_bbox: 0.338661 loss_dfl: 0.206750 loss: 1.404034 eta: 2 days, 0:17:57 batch_cost: 2.3206 data_cost: 0.0014 ips: 24.1313 images/s [10/21 08:50:39] ppdet.engine INFO: Epoch: [15] [180/261] learning_rate: 0.297980 loss_vfl: 0.882586 loss_bbox: 0.313342 loss_dfl: 0.196642 loss: 1.391387 eta: 2 days, 0:17:29 batch_cost: 2.3938 data_cost: 0.0013 ips: 23.3938 images/s [10/21 08:51:29] ppdet.engine INFO: Epoch: [15] [200/261] learning_rate: 0.297960 loss_vfl: 0.891040 loss_bbox: 0.328994 loss_dfl: 0.203796 loss: 1.428761 eta: 2 days, 0:16:27 batch_cost: 2.3028 data_cost: 0.0013 ips: 24.3180 images/s [10/21 08:52:18] ppdet.engine INFO: Epoch: [15] [220/261] learning_rate: 0.297940 loss_vfl: 0.857600 loss_bbox: 0.350789 loss_dfl: 0.208912 loss: 1.423789 eta: 2 days, 0:15:11 batch_cost: 2.2601 data_cost: 0.0013 ips: 24.7777 images/s [10/21 08:53:07] ppdet.engine INFO: Epoch: [15] [240/261] learning_rate: 0.297920 loss_vfl: 0.887900 loss_bbox: 0.317261 loss_dfl: 0.198122 loss: 1.394218 eta: 2 days, 0:13:56 batch_cost: 2.2627 data_cost: 0.0013 ips: 24.7492 images/s [10/21 08:53:50] ppdet.engine INFO: Epoch: [15] [260/261] learning_rate: 0.297900 loss_vfl: 0.877099 loss_bbox: 0.314138 loss_dfl: 0.199162 loss: 1.404717 eta: 2 days, 0:11:06 batch_cost: 1.9948 data_cost: 0.0014 ips: 28.0729 images/s [10/21 08:54:14] ppdet.engine INFO: Epoch: [16] [ 0/261] learning_rate: 0.297899 loss_vfl: 0.877099 loss_bbox: 0.314138 loss_dfl: 0.199162 loss: 1.404717 eta: 2 days, 0:16:08 batch_cost: 2.8747 data_cost: 0.5417 ips: 19.4806 images/s [10/21 08:55:07] ppdet.engine INFO: Epoch: [16] [ 20/261] learning_rate: 0.297879 loss_vfl: 0.869411 loss_bbox: 0.331919 loss_dfl: 0.204826 loss: 1.415544 eta: 2 days, 0:16:02 batch_cost: 2.4589 data_cost: 0.0012 ips: 22.7747 images/s [10/21 08:55:54] ppdet.engine INFO: Epoch: [16] [ 40/261] learning_rate: 0.297859 loss_vfl: 0.861808 loss_bbox: 0.344746 loss_dfl: 0.206498 loss: 1.423918 eta: 2 days, 0:14:01 batch_cost: 2.1341 data_cost: 0.0015 ips: 26.2402 images/s [10/21 08:56:41] ppdet.engine INFO: Epoch: [16] [ 60/261] learning_rate: 0.297839 loss_vfl: 0.887491 loss_bbox: 0.311897 loss_dfl: 0.206327 loss: 1.397007 eta: 2 days, 0:12:22 batch_cost: 2.1950 data_cost: 0.0013 ips: 25.5123 images/s [10/21 08:57:29] ppdet.engine INFO: Epoch: [16] [ 80/261] learning_rate: 0.297818 loss_vfl: 0.882997 loss_bbox: 0.340775 loss_dfl: 0.210208 loss: 1.428186 eta: 2 days, 0:11:17 batch_cost: 2.2903 data_cost: 0.0013 ips: 24.4509 images/s [10/21 08:58:19] ppdet.engine INFO: Epoch: [16] [100/261] learning_rate: 0.297798 loss_vfl: 0.876176 loss_bbox: 0.313154 loss_dfl: 0.191281 loss: 1.379225 eta: 2 days, 0:10:30 batch_cost: 2.3440 data_cost: 0.0012 ips: 23.8905 images/s [10/21 08:59:07] ppdet.engine INFO: Epoch: [16] [120/261] learning_rate: 0.297777 loss_vfl: 0.868163 loss_bbox: 0.317431 loss_dfl: 0.204350 loss: 1.382740 eta: 2 days, 0:09:35 batch_cost: 2.3193 data_cost: 0.0013 ips: 24.1453 images/s [10/21 08:59:56] ppdet.engine INFO: Epoch: [16] [140/261] learning_rate: 0.297757 loss_vfl: 0.866932 loss_bbox: 0.328437 loss_dfl: 0.204110 loss: 1.408689 eta: 2 days, 0:08:23 batch_cost: 2.2685 data_cost: 0.0013 ips: 24.6862 images/s [10/21 09:00:46] ppdet.engine INFO: Epoch: [16] [160/261] learning_rate: 0.297736 loss_vfl: 0.876199 loss_bbox: 0.326084 loss_dfl: 0.205686 loss: 1.415988 eta: 2 days, 0:07:31 batch_cost: 2.3290 data_cost: 0.0013 ips: 24.0449 images/s [10/21 09:01:34] ppdet.engine INFO: Epoch: [16] [180/261] learning_rate: 0.297715 loss_vfl: 0.893102 loss_bbox: 0.344924 loss_dfl: 0.206431 loss: 1.431393 eta: 2 days, 0:06:32 batch_cost: 2.3043 data_cost: 0.0013 ips: 24.3020 images/s [10/21 09:02:21] ppdet.engine INFO: Epoch: [16] [200/261] learning_rate: 0.297694 loss_vfl: 0.863430 loss_bbox: 0.341383 loss_dfl: 0.204308 loss: 1.396185 eta: 2 days, 0:04:43 batch_cost: 2.1579 data_cost: 0.0013 ips: 25.9513 images/s [10/21 09:03:09] ppdet.engine INFO: Epoch: [16] [220/261] learning_rate: 0.297673 loss_vfl: 0.877049 loss_bbox: 0.337952 loss_dfl: 0.205934 loss: 1.422155 eta: 2 days, 0:03:23 batch_cost: 2.2438 data_cost: 0.0013 ips: 24.9580 images/s [10/21 09:03:59] ppdet.engine INFO: Epoch: [16] [240/261] learning_rate: 0.297652 loss_vfl: 0.885985 loss_bbox: 0.320626 loss_dfl: 0.204123 loss: 1.413150 eta: 2 days, 0:02:40 batch_cost: 2.3531 data_cost: 0.0013 ips: 23.7981 images/s [10/21 09:04:40] ppdet.engine INFO: Epoch: [16] [260/261] learning_rate: 0.297630 loss_vfl: 0.872341 loss_bbox: 0.323405 loss_dfl: 0.201282 loss: 1.392105 eta: 1 day, 23:59:53 batch_cost: 1.9806 data_cost: 0.0012 ips: 28.2748 images/s [10/21 09:05:06] ppdet.engine INFO: Epoch: [17] [ 0/261] learning_rate: 0.297629 loss_vfl: 0.872341 loss_bbox: 0.317322 loss_dfl: 0.197695 loss: 1.392105 eta: 2 days, 0:04:52 batch_cost: 2.8342 data_cost: 0.3042 ips: 19.7588 images/s [10/21 09:06:01] ppdet.engine INFO: Epoch: [17] [ 20/261] learning_rate: 0.297608 loss_vfl: 0.877826 loss_bbox: 0.319508 loss_dfl: 0.203509 loss: 1.400874 eta: 2 days, 0:04:48 batch_cost: 2.4717 data_cost: 0.0013 ips: 22.6568 images/s [10/21 09:06:51] ppdet.engine INFO: Epoch: [17] [ 40/261] learning_rate: 0.297587 loss_vfl: 0.872105 loss_bbox: 0.304222 loss_dfl: 0.192968 loss: 1.374513 eta: 2 days, 0:04:16 batch_cost: 2.3885 data_cost: 0.0013 ips: 23.4453 images/s [10/21 09:07:40] ppdet.engine INFO: Epoch: [17] [ 60/261] learning_rate: 0.297565 loss_vfl: 0.866384 loss_bbox: 0.330991 loss_dfl: 0.200595 loss: 1.392921 eta: 2 days, 0:03:31 batch_cost: 2.3501 data_cost: 0.0013 ips: 23.8283 images/s [10/21 09:08:27] ppdet.engine INFO: Epoch: [17] [ 80/261] learning_rate: 0.297543 loss_vfl: 0.875433 loss_bbox: 0.310456 loss_dfl: 0.192131 loss: 1.390473 eta: 2 days, 0:01:34 batch_cost: 2.1308 data_cost: 0.0014 ips: 26.2814 images/s [10/21 09:09:17] ppdet.engine INFO: Epoch: [17] [100/261] learning_rate: 0.297522 loss_vfl: 0.868905 loss_bbox: 0.339141 loss_dfl: 0.211573 loss: 1.447708 eta: 2 days, 0:00:28 batch_cost: 2.2826 data_cost: 0.0015 ips: 24.5337 images/s [10/21 09:10:06] ppdet.engine INFO: Epoch: [17] [120/261] learning_rate: 0.297500 loss_vfl: 0.865521 loss_bbox: 0.312055 loss_dfl: 0.192475 loss: 1.376055 eta: 1 day, 23:59:44 batch_cost: 2.3533 data_cost: 0.0014 ips: 23.7961 images/s [10/21 09:10:55] ppdet.engine INFO: Epoch: [17] [140/261] learning_rate: 0.297478 loss_vfl: 0.869705 loss_bbox: 0.335611 loss_dfl: 0.208403 loss: 1.422567 eta: 1 day, 23:58:47 batch_cost: 2.3112 data_cost: 0.0013 ips: 24.2301 images/s [10/21 09:11:44] ppdet.engine INFO: Epoch: [17] [160/261] learning_rate: 0.297456 loss_vfl: 0.864244 loss_bbox: 0.311234 loss_dfl: 0.194480 loss: 1.367031 eta: 1 day, 23:57:38 batch_cost: 2.2729 data_cost: 0.0015 ips: 24.6387 images/s [10/21 09:12:31] ppdet.engine INFO: Epoch: [17] [180/261] learning_rate: 0.297434 loss_vfl: 0.866653 loss_bbox: 0.324425 loss_dfl: 0.202658 loss: 1.387627 eta: 1 day, 23:56:18 batch_cost: 2.2410 data_cost: 0.0013 ips: 24.9892 images/s [10/21 09:13:20] ppdet.engine INFO: Epoch: [17] [200/261] learning_rate: 0.297411 loss_vfl: 0.877003 loss_bbox: 0.326116 loss_dfl: 0.202709 loss: 1.409703 eta: 1 day, 23:55:36 batch_cost: 2.3580 data_cost: 0.0013 ips: 23.7489 images/s [10/21 09:14:08] ppdet.engine INFO: Epoch: [17] [220/261] learning_rate: 0.297389 loss_vfl: 0.870104 loss_bbox: 0.335468 loss_dfl: 0.206715 loss: 1.410244 eta: 1 day, 23:54:22 batch_cost: 2.2552 data_cost: 0.0013 ips: 24.8319 images/s [10/21 09:14:55] ppdet.engine INFO: Epoch: [17] [240/261] learning_rate: 0.297367 loss_vfl: 0.885405 loss_bbox: 0.330180 loss_dfl: 0.209092 loss: 1.440474 eta: 1 day, 23:53:07 batch_cost: 2.2537 data_cost: 0.0013 ips: 24.8482 images/s [10/21 09:15:39] ppdet.engine INFO: Epoch: [17] [260/261] learning_rate: 0.297344 loss_vfl: 0.860056 loss_bbox: 0.331385 loss_dfl: 0.203442 loss: 1.400165 eta: 1 day, 23:50:54 batch_cost: 2.0636 data_cost: 0.0012 ips: 27.1369 images/s [10/21 09:16:01] ppdet.engine INFO: Epoch: [18] [ 0/261] learning_rate: 0.297343 loss_vfl: 0.869211 loss_bbox: 0.327764 loss_dfl: 0.203442 loss: 1.400165 eta: 1 day, 23:54:42 batch_cost: 2.8332 data_cost: 0.4984 ips: 19.7655 images/s [10/21 09:16:57] ppdet.engine INFO: Epoch: [18] [ 20/261] learning_rate: 0.297320 loss_vfl: 0.855292 loss_bbox: 0.303941 loss_dfl: 0.192506 loss: 1.366934 eta: 1 day, 23:55:14 batch_cost: 2.5950 data_cost: 0.0013 ips: 21.5800 images/s [10/21 09:17:47] ppdet.engine INFO: Epoch: [18] [ 40/261] learning_rate: 0.297298 loss_vfl: 0.854770 loss_bbox: 0.341158 loss_dfl: 0.206995 loss: 1.390501 eta: 1 day, 23:54:29 batch_cost: 2.3523 data_cost: 0.0012 ips: 23.8070 images/s [10/21 09:18:36] ppdet.engine INFO: Epoch: [18] [ 60/261] learning_rate: 0.297275 loss_vfl: 0.872518 loss_bbox: 0.329271 loss_dfl: 0.202568 loss: 1.400404 eta: 1 day, 23:53:09 batch_cost: 2.2379 data_cost: 0.0013 ips: 25.0231 images/s [10/21 09:19:28] ppdet.engine INFO: Epoch: [18] [ 80/261] learning_rate: 0.297252 loss_vfl: 0.873735 loss_bbox: 0.329657 loss_dfl: 0.212610 loss: 1.402550 eta: 1 day, 23:53:01 batch_cost: 2.4684 data_cost: 0.0013 ips: 22.6867 images/s [10/21 09:20:16] ppdet.engine INFO: Epoch: [18] [100/261] learning_rate: 0.297229 loss_vfl: 0.876207 loss_bbox: 0.314796 loss_dfl: 0.198737 loss: 1.418404 eta: 1 day, 23:51:51 batch_cost: 2.2695 data_cost: 0.0013 ips: 24.6747 images/s [10/21 09:21:04] ppdet.engine INFO: Epoch: [18] [120/261] learning_rate: 0.297206 loss_vfl: 0.864802 loss_bbox: 0.324298 loss_dfl: 0.207394 loss: 1.385735 eta: 1 day, 23:50:38 batch_cost: 2.2590 data_cost: 0.0013 ips: 24.7892 images/s [10/21 09:21:52] ppdet.engine INFO: Epoch: [18] [140/261] learning_rate: 0.297183 loss_vfl: 0.875069 loss_bbox: 0.325409 loss_dfl: 0.200597 loss: 1.415713 eta: 1 day, 23:49:37 batch_cost: 2.2989 data_cost: 0.0013 ips: 24.3595 images/s [10/21 09:22:39] ppdet.engine INFO: Epoch: [18] [160/261] learning_rate: 0.297160 loss_vfl: 0.888394 loss_bbox: 0.336998 loss_dfl: 0.211788 loss: 1.431380 eta: 1 day, 23:48:05 batch_cost: 2.1938 data_cost: 0.0013 ips: 25.5261 images/s [10/21 09:23:27] ppdet.engine INFO: Epoch: [18] [180/261] learning_rate: 0.297136 loss_vfl: 0.874712 loss_bbox: 0.325760 loss_dfl: 0.205061 loss: 1.397545 eta: 1 day, 23:46:58 batch_cost: 2.2737 data_cost: 0.0013 ips: 24.6290 images/s [10/21 09:24:16] ppdet.engine INFO: Epoch: [18] [200/261] learning_rate: 0.297113 loss_vfl: 0.861603 loss_bbox: 0.347308 loss_dfl: 0.209073 loss: 1.413270 eta: 1 day, 23:45:57 batch_cost: 2.2982 data_cost: 0.0013 ips: 24.3667 images/s [10/21 09:25:03] ppdet.engine INFO: Epoch: [18] [220/261] learning_rate: 0.297089 loss_vfl: 0.865894 loss_bbox: 0.320234 loss_dfl: 0.199895 loss: 1.380653 eta: 1 day, 23:44:40 batch_cost: 2.2411 data_cost: 0.0013 ips: 24.9882 images/s [10/21 09:25:52] ppdet.engine INFO: Epoch: [18] [240/261] learning_rate: 0.297066 loss_vfl: 0.866416 loss_bbox: 0.327341 loss_dfl: 0.201953 loss: 1.391395 eta: 1 day, 23:43:41 batch_cost: 2.3021 data_cost: 0.0013 ips: 24.3260 images/s [10/21 09:26:32] ppdet.engine INFO: Epoch: [18] [260/261] learning_rate: 0.297042 loss_vfl: 0.866443 loss_bbox: 0.316985 loss_dfl: 0.193442 loss: 1.385711 eta: 1 day, 23:40:40 batch_cost: 1.8891 data_cost: 0.0012 ips: 29.6440 images/s [10/21 09:26:53] ppdet.engine INFO: Epoch: [19] [ 0/261] learning_rate: 0.297041 loss_vfl: 0.850513 loss_bbox: 0.310402 loss_dfl: 0.193442 loss: 1.376236 eta: 1 day, 23:43:56 batch_cost: 2.5708 data_cost: 0.2801 ips: 21.7827 images/s [10/21 09:27:48] ppdet.engine INFO: Epoch: [19] [ 20/261] learning_rate: 0.297017 loss_vfl: 0.859992 loss_bbox: 0.308350 loss_dfl: 0.187565 loss: 1.352700 eta: 1 day, 23:44:19 batch_cost: 2.5784 data_cost: 0.0014 ips: 21.7189 images/s [10/21 09:28:37] ppdet.engine INFO: Epoch: [19] [ 40/261] learning_rate: 0.296993 loss_vfl: 0.863235 loss_bbox: 0.330041 loss_dfl: 0.202358 loss: 1.401702 eta: 1 day, 23:43:15 batch_cost: 2.2870 data_cost: 0.0013 ips: 24.4865 images/s [10/21 09:29:26] ppdet.engine INFO: Epoch: [19] [ 60/261] learning_rate: 0.296969 loss_vfl: 0.860449 loss_bbox: 0.325041 loss_dfl: 0.201499 loss: 1.374144 eta: 1 day, 23:42:11 batch_cost: 2.2849 data_cost: 0.0013 ips: 24.5090 images/s [10/21 09:30:17] ppdet.engine INFO: Epoch: [19] [ 80/261] learning_rate: 0.296945 loss_vfl: 0.852926 loss_bbox: 0.329504 loss_dfl: 0.201478 loss: 1.397361 eta: 1 day, 23:41:31 batch_cost: 2.3675 data_cost: 0.0013 ips: 23.6541 images/s [10/21 09:31:03] ppdet.engine INFO: Epoch: [19] [100/261] learning_rate: 0.296921 loss_vfl: 0.867295 loss_bbox: 0.329549 loss_dfl: 0.201542 loss: 1.400488 eta: 1 day, 23:39:55 batch_cost: 2.1731 data_cost: 0.0014 ips: 25.7691 images/s [10/21 09:31:52] ppdet.engine INFO: Epoch: [19] [120/261] learning_rate: 0.296896 loss_vfl: 0.865118 loss_bbox: 0.293535 loss_dfl: 0.191879 loss: 1.356080 eta: 1 day, 23:38:53 batch_cost: 2.2895 data_cost: 0.0013 ips: 24.4599 images/s [10/21 09:32:40] ppdet.engine INFO: Epoch: [19] [140/261] learning_rate: 0.296872 loss_vfl: 0.853732 loss_bbox: 0.330294 loss_dfl: 0.209513 loss: 1.377638 eta: 1 day, 23:37:45 batch_cost: 2.2716 data_cost: 0.0013 ips: 24.6517 images/s [10/21 09:33:28] ppdet.engine INFO: Epoch: [19] [160/261] learning_rate: 0.296847 loss_vfl: 0.877636 loss_bbox: 0.313419 loss_dfl: 0.195175 loss: 1.380290 eta: 1 day, 23:36:38 batch_cost: 2.2717 data_cost: 0.0014 ips: 24.6506 images/s [10/21 09:34:16] ppdet.engine INFO: Epoch: [19] [180/261] learning_rate: 0.296823 loss_vfl: 0.851809 loss_bbox: 0.323963 loss_dfl: 0.205546 loss: 1.367080 eta: 1 day, 23:35:31 batch_cost: 2.2704 data_cost: 0.0013 ips: 24.6648 images/s [10/21 09:35:06] ppdet.engine INFO: Epoch: [19] [200/261] learning_rate: 0.296798 loss_vfl: 0.875087 loss_bbox: 0.338144 loss_dfl: 0.201219 loss: 1.397870 eta: 1 day, 23:34:46 batch_cost: 2.3475 data_cost: 0.0013 ips: 23.8549 images/s [10/21 09:35:55] ppdet.engine INFO: Epoch: [19] [220/261] learning_rate: 0.296773 loss_vfl: 0.869991 loss_bbox: 0.334513 loss_dfl: 0.201279 loss: 1.407027 eta: 1 day, 23:34:06 batch_cost: 2.3680 data_cost: 0.0014 ips: 23.6488 images/s [10/21 09:36:42] ppdet.engine INFO: Epoch: [19] [240/261] learning_rate: 0.296748 loss_vfl: 0.862981 loss_bbox: 0.321235 loss_dfl: 0.200183 loss: 1.399622 eta: 1 day, 23:32:40 batch_cost: 2.1999 data_cost: 0.0014 ips: 25.4559 images/s [10/21 09:37:26] ppdet.engine INFO: Epoch: [19] [260/261] learning_rate: 0.296723 loss_vfl: 0.883764 loss_bbox: 0.312806 loss_dfl: 0.194700 loss: 1.382912 eta: 1 day, 23:30:35 batch_cost: 2.0655 data_cost: 0.0011 ips: 27.1118 images/s [10/21 09:37:31] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 09:37:32] ppdet.engine INFO: Eval iter: 0 [10/21 09:37:59] ppdet.engine INFO: Eval iter: 100 [10/21 09:38:15] ppdet.engine INFO: Eval iter: 200 [10/21 09:38:31] ppdet.engine INFO: Eval iter: 300 [10/21 09:38:47] ppdet.engine INFO: Eval iter: 400 [10/21 09:39:03] ppdet.engine INFO: Eval iter: 500 [10/21 09:39:19] ppdet.engine INFO: Eval iter: 600 [10/21 09:39:33] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.57s) creating index... index created! [10/21 09:39:34] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.48s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=70.62s). Accumulating evaluation results... DONE (t=13.26s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.303 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.464 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.317 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.111 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.322 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.488 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.269 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.425 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.454 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.191 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.507 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.681 [10/21 09:41:06] ppdet.engine INFO: Total sample number: 4952, averge FPS: 44.13111851517817 [10/21 09:41:06] ppdet.engine INFO: Best test bbox ap is 0.303. [10/21 09:41:06] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 09:41:09] ppdet.engine INFO: Epoch: [20] [ 0/261] learning_rate: 0.296722 loss_vfl: 0.884291 loss_bbox: 0.317970 loss_dfl: 0.198097 loss: 1.388320 eta: 1 day, 23:30:45 batch_cost: 2.1205 data_cost: 0.0012 ips: 26.4091 images/s [10/21 09:42:08] ppdet.engine INFO: Epoch: [20] [ 20/261] learning_rate: 0.296697 loss_vfl: 0.860025 loss_bbox: 0.318947 loss_dfl: 0.206652 loss: 1.370537 eta: 1 day, 23:32:08 batch_cost: 2.8089 data_cost: 0.0015 ips: 19.9365 images/s [10/21 09:42:58] ppdet.engine INFO: Epoch: [20] [ 40/261] learning_rate: 0.296672 loss_vfl: 0.859518 loss_bbox: 0.323848 loss_dfl: 0.204504 loss: 1.403431 eta: 1 day, 23:31:26 batch_cost: 2.3579 data_cost: 0.0013 ips: 23.7503 images/s [10/21 09:43:47] ppdet.engine INFO: Epoch: [20] [ 60/261] learning_rate: 0.296647 loss_vfl: 0.867412 loss_bbox: 0.313221 loss_dfl: 0.203036 loss: 1.380597 eta: 1 day, 23:30:39 batch_cost: 2.3432 data_cost: 0.0012 ips: 23.8987 images/s [10/21 09:44:37] ppdet.engine INFO: Epoch: [20] [ 80/261] learning_rate: 0.296621 loss_vfl: 0.888072 loss_bbox: 0.303968 loss_dfl: 0.194725 loss: 1.390649 eta: 1 day, 23:29:56 batch_cost: 2.3562 data_cost: 0.0013 ips: 23.7669 images/s [10/21 09:45:27] ppdet.engine INFO: Epoch: [20] [100/261] learning_rate: 0.296596 loss_vfl: 0.871600 loss_bbox: 0.321894 loss_dfl: 0.201226 loss: 1.378723 eta: 1 day, 23:29:09 batch_cost: 2.3426 data_cost: 0.0013 ips: 23.9054 images/s [10/21 09:46:15] ppdet.engine INFO: Epoch: [20] [120/261] learning_rate: 0.296570 loss_vfl: 0.862965 loss_bbox: 0.312905 loss_dfl: 0.197111 loss: 1.369071 eta: 1 day, 23:27:53 batch_cost: 2.2355 data_cost: 0.0012 ips: 25.0501 images/s [10/21 09:47:07] ppdet.engine INFO: Epoch: [20] [140/261] learning_rate: 0.296545 loss_vfl: 0.849155 loss_bbox: 0.327634 loss_dfl: 0.199797 loss: 1.381722 eta: 1 day, 23:27:22 batch_cost: 2.3990 data_cost: 0.0012 ips: 23.3428 images/s [10/21 09:47:54] ppdet.engine INFO: Epoch: [20] [160/261] learning_rate: 0.296519 loss_vfl: 0.860367 loss_bbox: 0.320192 loss_dfl: 0.192047 loss: 1.371415 eta: 1 day, 23:26:16 batch_cost: 2.2702 data_cost: 0.0013 ips: 24.6674 images/s [10/21 09:48:46] ppdet.engine INFO: Epoch: [20] [180/261] learning_rate: 0.296493 loss_vfl: 0.860872 loss_bbox: 0.309240 loss_dfl: 0.199527 loss: 1.368932 eta: 1 day, 23:25:47 batch_cost: 2.4088 data_cost: 0.0013 ips: 23.2482 images/s [10/21 09:49:34] ppdet.engine INFO: Epoch: [20] [200/261] learning_rate: 0.296467 loss_vfl: 0.870039 loss_bbox: 0.310579 loss_dfl: 0.191772 loss: 1.391034 eta: 1 day, 23:24:46 batch_cost: 2.2901 data_cost: 0.0013 ips: 24.4531 images/s [10/21 09:50:21] ppdet.engine INFO: Epoch: [20] [220/261] learning_rate: 0.296441 loss_vfl: 0.850263 loss_bbox: 0.317336 loss_dfl: 0.197712 loss: 1.398910 eta: 1 day, 23:23:20 batch_cost: 2.1943 data_cost: 0.0013 ips: 25.5208 images/s [10/21 09:51:09] ppdet.engine INFO: Epoch: [20] [240/261] learning_rate: 0.296415 loss_vfl: 0.884000 loss_bbox: 0.326116 loss_dfl: 0.195980 loss: 1.397858 eta: 1 day, 23:22:14 batch_cost: 2.2724 data_cost: 0.0013 ips: 24.6435 images/s [10/21 09:51:54] ppdet.engine INFO: Epoch: [20] [260/261] learning_rate: 0.296389 loss_vfl: 0.847424 loss_bbox: 0.322821 loss_dfl: 0.205655 loss: 1.396569 eta: 1 day, 23:20:31 batch_cost: 2.1265 data_cost: 0.0011 ips: 26.3340 images/s [10/21 09:52:18] ppdet.engine INFO: Epoch: [21] [ 0/261] learning_rate: 0.296388 loss_vfl: 0.848081 loss_bbox: 0.320068 loss_dfl: 0.205023 loss: 1.396569 eta: 1 day, 23:24:05 batch_cost: 2.9451 data_cost: 0.5139 ips: 19.0147 images/s [10/21 09:53:09] ppdet.engine INFO: Epoch: [21] [ 20/261] learning_rate: 0.296361 loss_vfl: 0.862283 loss_bbox: 0.318904 loss_dfl: 0.199409 loss: 1.385930 eta: 1 day, 23:23:39 batch_cost: 2.4251 data_cost: 0.0015 ips: 23.0917 images/s [10/21 09:53:57] ppdet.engine INFO: Epoch: [21] [ 40/261] learning_rate: 0.296335 loss_vfl: 0.848811 loss_bbox: 0.316435 loss_dfl: 0.201598 loss: 1.402430 eta: 1 day, 23:22:30 batch_cost: 2.2583 data_cost: 0.0013 ips: 24.7978 images/s [10/21 09:54:45] ppdet.engine INFO: Epoch: [21] [ 60/261] learning_rate: 0.296308 loss_vfl: 0.837526 loss_bbox: 0.327510 loss_dfl: 0.200067 loss: 1.365846 eta: 1 day, 23:21:26 batch_cost: 2.2782 data_cost: 0.0013 ips: 24.5812 images/s [10/21 09:55:35] ppdet.engine INFO: Epoch: [21] [ 80/261] learning_rate: 0.296282 loss_vfl: 0.853515 loss_bbox: 0.333454 loss_dfl: 0.202812 loss: 1.375537 eta: 1 day, 23:20:47 batch_cost: 2.3720 data_cost: 0.0013 ips: 23.6089 images/s [10/21 09:56:25] ppdet.engine INFO: Epoch: [21] [100/261] learning_rate: 0.296255 loss_vfl: 0.852221 loss_bbox: 0.341223 loss_dfl: 0.204548 loss: 1.387182 eta: 1 day, 23:20:11 batch_cost: 2.3854 data_cost: 0.0012 ips: 23.4766 images/s [10/21 09:57:14] ppdet.engine INFO: Epoch: [21] [120/261] learning_rate: 0.296228 loss_vfl: 0.840561 loss_bbox: 0.313791 loss_dfl: 0.195261 loss: 1.350997 eta: 1 day, 23:19:07 batch_cost: 2.2766 data_cost: 0.0013 ips: 24.5976 images/s [10/21 09:58:03] ppdet.engine INFO: Epoch: [21] [140/261] learning_rate: 0.296201 loss_vfl: 0.854304 loss_bbox: 0.326125 loss_dfl: 0.201007 loss: 1.374208 eta: 1 day, 23:17:57 batch_cost: 2.2539 data_cost: 0.0013 ips: 24.8463 images/s [10/21 09:58:54] ppdet.engine INFO: Epoch: [21] [160/261] learning_rate: 0.296174 loss_vfl: 0.859525 loss_bbox: 0.293455 loss_dfl: 0.188382 loss: 1.358885 eta: 1 day, 23:17:22 batch_cost: 2.3916 data_cost: 0.0014 ips: 23.4153 images/s [10/21 09:59:40] ppdet.engine INFO: Epoch: [21] [180/261] learning_rate: 0.296147 loss_vfl: 0.863005 loss_bbox: 0.312815 loss_dfl: 0.199260 loss: 1.379864 eta: 1 day, 23:16:02 batch_cost: 2.2118 data_cost: 0.0014 ips: 25.3187 images/s [10/21 10:00:29] ppdet.engine INFO: Epoch: [21] [200/261] learning_rate: 0.296120 loss_vfl: 0.846757 loss_bbox: 0.297041 loss_dfl: 0.199625 loss: 1.364919 eta: 1 day, 23:15:08 batch_cost: 2.3174 data_cost: 0.0013 ips: 24.1653 images/s [10/21 10:01:18] ppdet.engine INFO: Epoch: [21] [220/261] learning_rate: 0.296093 loss_vfl: 0.865683 loss_bbox: 0.324904 loss_dfl: 0.201028 loss: 1.378224 eta: 1 day, 23:14:04 batch_cost: 2.2748 data_cost: 0.0013 ips: 24.6180 images/s [10/21 10:02:09] ppdet.engine INFO: Epoch: [21] [240/261] learning_rate: 0.296066 loss_vfl: 0.863746 loss_bbox: 0.315041 loss_dfl: 0.198159 loss: 1.403149 eta: 1 day, 23:13:33 batch_cost: 2.4051 data_cost: 0.0013 ips: 23.2842 images/s [10/21 10:02:51] ppdet.engine INFO: Epoch: [21] [260/261] learning_rate: 0.296038 loss_vfl: 0.864755 loss_bbox: 0.316236 loss_dfl: 0.202148 loss: 1.379576 eta: 1 day, 23:11:19 batch_cost: 1.9976 data_cost: 0.0012 ips: 28.0339 images/s [10/21 10:03:14] ppdet.engine INFO: Epoch: [22] [ 0/261] learning_rate: 0.296037 loss_vfl: 0.869171 loss_bbox: 0.312370 loss_dfl: 0.200098 loss: 1.378013 eta: 1 day, 23:14:22 batch_cost: 2.7470 data_cost: 0.2414 ips: 20.3860 images/s [10/21 10:04:06] ppdet.engine INFO: Epoch: [22] [ 20/261] learning_rate: 0.296009 loss_vfl: 0.869380 loss_bbox: 0.315853 loss_dfl: 0.198638 loss: 1.384479 eta: 1 day, 23:13:57 batch_cost: 2.4272 data_cost: 0.0014 ips: 23.0723 images/s [10/21 10:04:55] ppdet.engine INFO: Epoch: [22] [ 40/261] learning_rate: 0.295982 loss_vfl: 0.848973 loss_bbox: 0.315691 loss_dfl: 0.197399 loss: 1.353286 eta: 1 day, 23:12:59 batch_cost: 2.3005 data_cost: 0.0013 ips: 24.3428 images/s [10/21 10:05:42] ppdet.engine INFO: Epoch: [22] [ 60/261] learning_rate: 0.295954 loss_vfl: 0.847309 loss_bbox: 0.303668 loss_dfl: 0.193722 loss: 1.328485 eta: 1 day, 23:11:39 batch_cost: 2.2114 data_cost: 0.0013 ips: 25.3233 images/s [10/21 10:06:31] ppdet.engine INFO: Epoch: [22] [ 80/261] learning_rate: 0.295926 loss_vfl: 0.860695 loss_bbox: 0.322630 loss_dfl: 0.206381 loss: 1.387209 eta: 1 day, 23:10:47 batch_cost: 2.3238 data_cost: 0.0013 ips: 24.0988 images/s [10/21 10:07:19] ppdet.engine INFO: Epoch: [22] [100/261] learning_rate: 0.295898 loss_vfl: 0.852529 loss_bbox: 0.340505 loss_dfl: 0.212986 loss: 1.402370 eta: 1 day, 23:09:39 batch_cost: 2.2597 data_cost: 0.0012 ips: 24.7816 images/s [10/21 10:08:09] ppdet.engine INFO: Epoch: [22] [120/261] learning_rate: 0.295870 loss_vfl: 0.867325 loss_bbox: 0.299591 loss_dfl: 0.192981 loss: 1.359992 eta: 1 day, 23:08:52 batch_cost: 2.3426 data_cost: 0.0014 ips: 23.9047 images/s [10/21 10:08:57] ppdet.engine INFO: Epoch: [22] [140/261] learning_rate: 0.295842 loss_vfl: 0.859856 loss_bbox: 0.305226 loss_dfl: 0.195624 loss: 1.368517 eta: 1 day, 23:07:35 batch_cost: 2.2213 data_cost: 0.0014 ips: 25.2106 images/s [10/21 10:09:46] ppdet.engine INFO: Epoch: [22] [160/261] learning_rate: 0.295814 loss_vfl: 0.861079 loss_bbox: 0.325157 loss_dfl: 0.202786 loss: 1.364784 eta: 1 day, 23:06:55 batch_cost: 2.3702 data_cost: 0.0013 ips: 23.6265 images/s [10/21 10:10:36] ppdet.engine INFO: Epoch: [22] [180/261] learning_rate: 0.295786 loss_vfl: 0.863394 loss_bbox: 0.309192 loss_dfl: 0.200602 loss: 1.370623 eta: 1 day, 23:06:06 batch_cost: 2.3347 data_cost: 0.0013 ips: 23.9861 images/s [10/21 10:11:24] ppdet.engine INFO: Epoch: [22] [200/261] learning_rate: 0.295757 loss_vfl: 0.860639 loss_bbox: 0.315463 loss_dfl: 0.198153 loss: 1.366900 eta: 1 day, 23:05:01 batch_cost: 2.2662 data_cost: 0.0013 ips: 24.7113 images/s [10/21 10:12:13] ppdet.engine INFO: Epoch: [22] [220/261] learning_rate: 0.295729 loss_vfl: 0.878957 loss_bbox: 0.323701 loss_dfl: 0.199818 loss: 1.384043 eta: 1 day, 23:04:16 batch_cost: 2.3514 data_cost: 0.0013 ips: 23.8157 images/s [10/21 10:12:59] ppdet.engine INFO: Epoch: [22] [240/261] learning_rate: 0.295700 loss_vfl: 0.836813 loss_bbox: 0.306539 loss_dfl: 0.192698 loss: 1.339595 eta: 1 day, 23:02:51 batch_cost: 2.1825 data_cost: 0.0013 ips: 25.6582 images/s [10/21 10:13:42] ppdet.engine INFO: Epoch: [22] [260/261] learning_rate: 0.295672 loss_vfl: 0.866700 loss_bbox: 0.324252 loss_dfl: 0.201215 loss: 1.380228 eta: 1 day, 23:00:42 batch_cost: 2.0009 data_cost: 0.0012 ips: 27.9869 images/s [10/21 10:14:05] ppdet.engine INFO: Epoch: [23] [ 0/261] learning_rate: 0.295670 loss_vfl: 0.858893 loss_bbox: 0.324252 loss_dfl: 0.201215 loss: 1.379277 eta: 1 day, 23:03:43 batch_cost: 2.7737 data_cost: 0.5001 ips: 20.1894 images/s [10/21 10:15:00] ppdet.engine INFO: Epoch: [23] [ 20/261] learning_rate: 0.295641 loss_vfl: 0.837585 loss_bbox: 0.321125 loss_dfl: 0.206649 loss: 1.370175 eta: 1 day, 23:03:53 batch_cost: 2.5800 data_cost: 0.0014 ips: 21.7052 images/s [10/21 10:15:50] ppdet.engine INFO: Epoch: [23] [ 40/261] learning_rate: 0.295613 loss_vfl: 0.856462 loss_bbox: 0.314384 loss_dfl: 0.198819 loss: 1.358097 eta: 1 day, 23:02:54 batch_cost: 2.2959 data_cost: 0.0014 ips: 24.3913 images/s [10/21 10:16:38] ppdet.engine INFO: Epoch: [23] [ 60/261] learning_rate: 0.295584 loss_vfl: 0.845723 loss_bbox: 0.323209 loss_dfl: 0.194751 loss: 1.344557 eta: 1 day, 23:01:53 batch_cost: 2.2826 data_cost: 0.0014 ips: 24.5335 images/s [10/21 10:17:27] ppdet.engine INFO: Epoch: [23] [ 80/261] learning_rate: 0.295555 loss_vfl: 0.850867 loss_bbox: 0.332836 loss_dfl: 0.206114 loss: 1.385323 eta: 1 day, 23:01:07 batch_cost: 2.3478 data_cost: 0.0013 ips: 23.8517 images/s [10/21 10:18:16] ppdet.engine INFO: Epoch: [23] [100/261] learning_rate: 0.295525 loss_vfl: 0.855260 loss_bbox: 0.305561 loss_dfl: 0.195654 loss: 1.352202 eta: 1 day, 23:00:18 batch_cost: 2.3381 data_cost: 0.0013 ips: 23.9510 images/s [10/21 10:19:03] ppdet.engine INFO: Epoch: [23] [120/261] learning_rate: 0.295496 loss_vfl: 0.859914 loss_bbox: 0.327476 loss_dfl: 0.203483 loss: 1.385038 eta: 1 day, 22:59:10 batch_cost: 2.2533 data_cost: 0.0014 ips: 24.8522 images/s [10/21 10:19:49] ppdet.engine INFO: Epoch: [23] [140/261] learning_rate: 0.295467 loss_vfl: 0.860488 loss_bbox: 0.316449 loss_dfl: 0.202646 loss: 1.381991 eta: 1 day, 22:57:37 batch_cost: 2.1450 data_cost: 0.0013 ips: 26.1073 images/s [10/21 10:20:39] ppdet.engine INFO: Epoch: [23] [160/261] learning_rate: 0.295437 loss_vfl: 0.836071 loss_bbox: 0.317940 loss_dfl: 0.194333 loss: 1.347694 eta: 1 day, 22:56:47 batch_cost: 2.3296 data_cost: 0.0014 ips: 24.0381 images/s [10/21 10:21:26] ppdet.engine INFO: Epoch: [23] [180/261] learning_rate: 0.295408 loss_vfl: 0.848155 loss_bbox: 0.294802 loss_dfl: 0.195160 loss: 1.333362 eta: 1 day, 22:55:42 batch_cost: 2.2672 data_cost: 0.0014 ips: 24.6996 images/s [10/21 10:22:15] ppdet.engine INFO: Epoch: [23] [200/261] learning_rate: 0.295378 loss_vfl: 0.851541 loss_bbox: 0.298343 loss_dfl: 0.195292 loss: 1.362477 eta: 1 day, 22:54:47 batch_cost: 2.3076 data_cost: 0.0013 ips: 24.2681 images/s [10/21 10:23:04] ppdet.engine INFO: Epoch: [23] [220/261] learning_rate: 0.295349 loss_vfl: 0.857539 loss_bbox: 0.312733 loss_dfl: 0.199455 loss: 1.369888 eta: 1 day, 22:53:44 batch_cost: 2.2731 data_cost: 0.0013 ips: 24.6364 images/s [10/21 10:23:54] ppdet.engine INFO: Epoch: [23] [240/261] learning_rate: 0.295319 loss_vfl: 0.854842 loss_bbox: 0.330943 loss_dfl: 0.205138 loss: 1.394038 eta: 1 day, 22:52:46 batch_cost: 2.2918 data_cost: 0.0014 ips: 24.4345 images/s [10/21 10:24:35] ppdet.engine INFO: Epoch: [23] [260/261] learning_rate: 0.295289 loss_vfl: 0.862653 loss_bbox: 0.297396 loss_dfl: 0.190561 loss: 1.358348 eta: 1 day, 22:50:25 batch_cost: 1.9340 data_cost: 0.0012 ips: 28.9561 images/s [10/21 10:24:58] ppdet.engine INFO: Epoch: [24] [ 0/261] learning_rate: 0.295287 loss_vfl: 0.858446 loss_bbox: 0.300110 loss_dfl: 0.190561 loss: 1.359259 eta: 1 day, 22:53:19 batch_cost: 2.7014 data_cost: 0.5157 ips: 20.7298 images/s [10/21 10:25:51] ppdet.engine INFO: Epoch: [24] [ 20/261] learning_rate: 0.295257 loss_vfl: 0.854054 loss_bbox: 0.338018 loss_dfl: 0.212755 loss: 1.382850 eta: 1 day, 22:53:12 batch_cost: 2.5152 data_cost: 0.0014 ips: 22.2645 images/s [10/21 10:26:42] ppdet.engine INFO: Epoch: [24] [ 40/261] learning_rate: 0.295227 loss_vfl: 0.840151 loss_bbox: 0.288290 loss_dfl: 0.197433 loss: 1.324263 eta: 1 day, 22:52:35 batch_cost: 2.3887 data_cost: 0.0012 ips: 23.4433 images/s [10/21 10:27:29] ppdet.engine INFO: Epoch: [24] [ 60/261] learning_rate: 0.295197 loss_vfl: 0.852970 loss_bbox: 0.307793 loss_dfl: 0.200120 loss: 1.357057 eta: 1 day, 22:51:25 batch_cost: 2.2404 data_cost: 0.0013 ips: 24.9957 images/s [10/21 10:28:17] ppdet.engine INFO: Epoch: [24] [ 80/261] learning_rate: 0.295167 loss_vfl: 0.840070 loss_bbox: 0.320194 loss_dfl: 0.204744 loss: 1.373517 eta: 1 day, 22:50:27 batch_cost: 2.2949 data_cost: 0.0014 ips: 24.4024 images/s [10/21 10:29:06] ppdet.engine INFO: Epoch: [24] [100/261] learning_rate: 0.295137 loss_vfl: 0.864167 loss_bbox: 0.317752 loss_dfl: 0.194449 loss: 1.362071 eta: 1 day, 22:49:36 batch_cost: 2.3271 data_cost: 0.0013 ips: 24.0648 images/s [10/21 10:29:53] ppdet.engine INFO: Epoch: [24] [120/261] learning_rate: 0.295106 loss_vfl: 0.832028 loss_bbox: 0.323892 loss_dfl: 0.197680 loss: 1.383595 eta: 1 day, 22:48:23 batch_cost: 2.2273 data_cost: 0.0013 ips: 25.1428 images/s [10/21 10:30:42] ppdet.engine INFO: Epoch: [24] [140/261] learning_rate: 0.295076 loss_vfl: 0.834253 loss_bbox: 0.320745 loss_dfl: 0.205051 loss: 1.374752 eta: 1 day, 22:47:22 batch_cost: 2.2775 data_cost: 0.0013 ips: 24.5878 images/s [10/21 10:31:30] ppdet.engine INFO: Epoch: [24] [160/261] learning_rate: 0.295045 loss_vfl: 0.854142 loss_bbox: 0.314625 loss_dfl: 0.198857 loss: 1.367413 eta: 1 day, 22:46:10 batch_cost: 2.2309 data_cost: 0.0013 ips: 25.1015 images/s [10/21 10:32:19] ppdet.engine INFO: Epoch: [24] [180/261] learning_rate: 0.295014 loss_vfl: 0.860144 loss_bbox: 0.320555 loss_dfl: 0.208808 loss: 1.388392 eta: 1 day, 22:45:22 batch_cost: 2.3395 data_cost: 0.0013 ips: 23.9363 images/s [10/21 10:33:06] ppdet.engine INFO: Epoch: [24] [200/261] learning_rate: 0.294983 loss_vfl: 0.846172 loss_bbox: 0.321001 loss_dfl: 0.199302 loss: 1.355359 eta: 1 day, 22:43:55 batch_cost: 2.1601 data_cost: 0.0013 ips: 25.9244 images/s [10/21 10:33:53] ppdet.engine INFO: Epoch: [24] [220/261] learning_rate: 0.294953 loss_vfl: 0.837408 loss_bbox: 0.308005 loss_dfl: 0.194309 loss: 1.337638 eta: 1 day, 22:42:49 batch_cost: 2.2547 data_cost: 0.0014 ips: 24.8367 images/s [10/21 10:34:45] ppdet.engine INFO: Epoch: [24] [240/261] learning_rate: 0.294922 loss_vfl: 0.855394 loss_bbox: 0.315562 loss_dfl: 0.204037 loss: 1.359431 eta: 1 day, 22:42:29 batch_cost: 2.4647 data_cost: 0.0014 ips: 22.7210 images/s [10/21 10:35:26] ppdet.engine INFO: Epoch: [24] [260/261] learning_rate: 0.294890 loss_vfl: 0.837688 loss_bbox: 0.328428 loss_dfl: 0.206039 loss: 1.390991 eta: 1 day, 22:40:13 batch_cost: 1.9368 data_cost: 0.0012 ips: 28.9144 images/s [10/21 10:35:47] ppdet.engine INFO: Epoch: [25] [ 0/261] learning_rate: 0.294889 loss_vfl: 0.837688 loss_bbox: 0.328428 loss_dfl: 0.206039 loss: 1.390991 eta: 1 day, 22:42:41 batch_cost: 2.6053 data_cost: 0.4418 ips: 21.4944 images/s [10/21 10:36:42] ppdet.engine INFO: Epoch: [25] [ 20/261] learning_rate: 0.294858 loss_vfl: 0.849594 loss_bbox: 0.316038 loss_dfl: 0.199599 loss: 1.365072 eta: 1 day, 22:42:37 batch_cost: 2.5369 data_cost: 0.0014 ips: 22.0746 images/s [10/21 10:37:29] ppdet.engine INFO: Epoch: [25] [ 40/261] learning_rate: 0.294826 loss_vfl: 0.870000 loss_bbox: 0.298949 loss_dfl: 0.195751 loss: 1.348603 eta: 1 day, 22:41:25 batch_cost: 2.2292 data_cost: 0.0013 ips: 25.1214 images/s [10/21 10:38:16] ppdet.engine INFO: Epoch: [25] [ 60/261] learning_rate: 0.294795 loss_vfl: 0.836882 loss_bbox: 0.321110 loss_dfl: 0.205455 loss: 1.376783 eta: 1 day, 22:40:10 batch_cost: 2.2135 data_cost: 0.0013 ips: 25.2993 images/s [10/21 10:39:05] ppdet.engine INFO: Epoch: [25] [ 80/261] learning_rate: 0.294764 loss_vfl: 0.860430 loss_bbox: 0.312906 loss_dfl: 0.198641 loss: 1.358332 eta: 1 day, 22:39:14 batch_cost: 2.3024 data_cost: 0.0013 ips: 24.3221 images/s [10/21 10:39:55] ppdet.engine INFO: Epoch: [25] [100/261] learning_rate: 0.294732 loss_vfl: 0.859111 loss_bbox: 0.314379 loss_dfl: 0.194831 loss: 1.383315 eta: 1 day, 22:38:37 batch_cost: 2.3891 data_cost: 0.0013 ips: 23.4399 images/s [10/21 10:40:44] ppdet.engine INFO: Epoch: [25] [120/261] learning_rate: 0.294700 loss_vfl: 0.836940 loss_bbox: 0.306785 loss_dfl: 0.195901 loss: 1.341352 eta: 1 day, 22:37:34 batch_cost: 2.2667 data_cost: 0.0013 ips: 24.7054 images/s [10/21 10:41:33] ppdet.engine INFO: Epoch: [25] [140/261] learning_rate: 0.294669 loss_vfl: 0.852291 loss_bbox: 0.300087 loss_dfl: 0.196361 loss: 1.356260 eta: 1 day, 22:36:43 batch_cost: 2.3219 data_cost: 0.0012 ips: 24.1181 images/s [10/21 10:42:21] ppdet.engine INFO: Epoch: [25] [160/261] learning_rate: 0.294637 loss_vfl: 0.835871 loss_bbox: 0.301371 loss_dfl: 0.192640 loss: 1.325592 eta: 1 day, 22:35:26 batch_cost: 2.2007 data_cost: 0.0013 ips: 25.4462 images/s [10/21 10:43:10] ppdet.engine INFO: Epoch: [25] [180/261] learning_rate: 0.294605 loss_vfl: 0.835809 loss_bbox: 0.296221 loss_dfl: 0.192486 loss: 1.314236 eta: 1 day, 22:34:44 batch_cost: 2.3673 data_cost: 0.0013 ips: 23.6553 images/s [10/21 10:44:00] ppdet.engine INFO: Epoch: [25] [200/261] learning_rate: 0.294573 loss_vfl: 0.851941 loss_bbox: 0.331346 loss_dfl: 0.205742 loss: 1.381171 eta: 1 day, 22:33:55 batch_cost: 2.3299 data_cost: 0.0014 ips: 24.0352 images/s [10/21 10:44:49] ppdet.engine INFO: Epoch: [25] [220/261] learning_rate: 0.294541 loss_vfl: 0.845032 loss_bbox: 0.326598 loss_dfl: 0.201681 loss: 1.372369 eta: 1 day, 22:33:09 batch_cost: 2.3466 data_cost: 0.0013 ips: 23.8644 images/s [10/21 10:45:37] ppdet.engine INFO: Epoch: [25] [240/261] learning_rate: 0.294508 loss_vfl: 0.844626 loss_bbox: 0.336593 loss_dfl: 0.205955 loss: 1.394940 eta: 1 day, 22:32:03 batch_cost: 2.2543 data_cost: 0.0013 ips: 24.8414 images/s [10/21 10:46:19] ppdet.engine INFO: Epoch: [25] [260/261] learning_rate: 0.294476 loss_vfl: 0.843615 loss_bbox: 0.329246 loss_dfl: 0.202311 loss: 1.359699 eta: 1 day, 22:30:00 batch_cost: 1.9773 data_cost: 0.0012 ips: 28.3222 images/s [10/21 10:46:42] ppdet.engine INFO: Epoch: [26] [ 0/261] learning_rate: 0.294474 loss_vfl: 0.843615 loss_bbox: 0.329246 loss_dfl: 0.202311 loss: 1.359699 eta: 1 day, 22:32:32 batch_cost: 2.7048 data_cost: 0.4081 ips: 20.7036 images/s [10/21 10:47:35] ppdet.engine INFO: Epoch: [26] [ 20/261] learning_rate: 0.294442 loss_vfl: 0.839682 loss_bbox: 0.325801 loss_dfl: 0.207759 loss: 1.380159 eta: 1 day, 22:32:29 batch_cost: 2.5517 data_cost: 0.0014 ips: 21.9460 images/s [10/21 10:48:25] ppdet.engine INFO: Epoch: [26] [ 40/261] learning_rate: 0.294409 loss_vfl: 0.836192 loss_bbox: 0.311705 loss_dfl: 0.203525 loss: 1.368593 eta: 1 day, 22:31:44 batch_cost: 2.3535 data_cost: 0.0013 ips: 23.7945 images/s [10/21 10:49:15] ppdet.engine INFO: Epoch: [26] [ 60/261] learning_rate: 0.294377 loss_vfl: 0.844716 loss_bbox: 0.310679 loss_dfl: 0.194128 loss: 1.360804 eta: 1 day, 22:31:08 batch_cost: 2.3956 data_cost: 0.0013 ips: 23.3760 images/s [10/21 10:50:03] ppdet.engine INFO: Epoch: [26] [ 80/261] learning_rate: 0.294344 loss_vfl: 0.837702 loss_bbox: 0.328190 loss_dfl: 0.207298 loss: 1.374300 eta: 1 day, 22:30:06 batch_cost: 2.2673 data_cost: 0.0014 ips: 24.6986 images/s [10/21 10:50:53] ppdet.engine INFO: Epoch: [26] [100/261] learning_rate: 0.294311 loss_vfl: 0.842978 loss_bbox: 0.304414 loss_dfl: 0.193229 loss: 1.335886 eta: 1 day, 22:29:11 batch_cost: 2.3044 data_cost: 0.0013 ips: 24.3013 images/s [10/21 10:51:42] ppdet.engine INFO: Epoch: [26] [120/261] learning_rate: 0.294278 loss_vfl: 0.837587 loss_bbox: 0.332019 loss_dfl: 0.200349 loss: 1.381530 eta: 1 day, 22:28:21 batch_cost: 2.3317 data_cost: 0.0013 ips: 24.0172 images/s [10/21 10:52:32] ppdet.engine INFO: Epoch: [26] [140/261] learning_rate: 0.294246 loss_vfl: 0.848357 loss_bbox: 0.336378 loss_dfl: 0.206589 loss: 1.395026 eta: 1 day, 22:27:43 batch_cost: 2.3851 data_cost: 0.0014 ips: 23.4794 images/s [10/21 10:53:20] ppdet.engine INFO: Epoch: [26] [160/261] learning_rate: 0.294212 loss_vfl: 0.848976 loss_bbox: 0.314672 loss_dfl: 0.193122 loss: 1.356587 eta: 1 day, 22:26:44 batch_cost: 2.2851 data_cost: 0.0014 ips: 24.5061 images/s [10/21 10:54:09] ppdet.engine INFO: Epoch: [26] [180/261] learning_rate: 0.294179 loss_vfl: 0.838580 loss_bbox: 0.318142 loss_dfl: 0.195747 loss: 1.349855 eta: 1 day, 22:25:39 batch_cost: 2.2532 data_cost: 0.0014 ips: 24.8537 images/s [10/21 10:54:59] ppdet.engine INFO: Epoch: [26] [200/261] learning_rate: 0.294146 loss_vfl: 0.843457 loss_bbox: 0.300529 loss_dfl: 0.194958 loss: 1.347953 eta: 1 day, 22:24:56 batch_cost: 2.3636 data_cost: 0.0013 ips: 23.6924 images/s [10/21 10:55:49] ppdet.engine INFO: Epoch: [26] [220/261] learning_rate: 0.294113 loss_vfl: 0.841126 loss_bbox: 0.324372 loss_dfl: 0.204211 loss: 1.375805 eta: 1 day, 22:24:10 batch_cost: 2.3455 data_cost: 0.0013 ips: 23.8751 images/s [10/21 10:56:39] ppdet.engine INFO: Epoch: [26] [240/261] learning_rate: 0.294079 loss_vfl: 0.844681 loss_bbox: 0.320044 loss_dfl: 0.199410 loss: 1.344815 eta: 1 day, 22:23:37 batch_cost: 2.4103 data_cost: 0.0013 ips: 23.2332 images/s [10/21 10:57:24] ppdet.engine INFO: Epoch: [26] [260/261] learning_rate: 0.294046 loss_vfl: 0.851384 loss_bbox: 0.302626 loss_dfl: 0.193974 loss: 1.345250 eta: 1 day, 22:22:09 batch_cost: 2.1417 data_cost: 0.0012 ips: 26.1480 images/s [10/21 10:57:47] ppdet.engine INFO: Epoch: [27] [ 0/261] learning_rate: 0.294044 loss_vfl: 0.851384 loss_bbox: 0.302626 loss_dfl: 0.193974 loss: 1.345250 eta: 1 day, 22:24:37 batch_cost: 2.9024 data_cost: 0.3645 ips: 19.2942 images/s [10/21 10:58:42] ppdet.engine INFO: Epoch: [27] [ 20/261] learning_rate: 0.294010 loss_vfl: 0.830052 loss_bbox: 0.326321 loss_dfl: 0.200539 loss: 1.376819 eta: 1 day, 22:24:47 batch_cost: 2.6279 data_cost: 0.0013 ips: 21.3101 images/s [10/21 10:59:32] ppdet.engine INFO: Epoch: [27] [ 40/261] learning_rate: 0.293977 loss_vfl: 0.856213 loss_bbox: 0.308673 loss_dfl: 0.200448 loss: 1.371703 eta: 1 day, 22:24:05 batch_cost: 2.3690 data_cost: 0.0013 ips: 23.6387 images/s [10/21 11:00:20] ppdet.engine INFO: Epoch: [27] [ 60/261] learning_rate: 0.293943 loss_vfl: 0.823283 loss_bbox: 0.311033 loss_dfl: 0.203321 loss: 1.352297 eta: 1 day, 22:22:56 batch_cost: 2.2366 data_cost: 0.0013 ips: 25.0378 images/s [10/21 11:01:07] ppdet.engine INFO: Epoch: [27] [ 80/261] learning_rate: 0.293909 loss_vfl: 0.842488 loss_bbox: 0.310789 loss_dfl: 0.200086 loss: 1.356943 eta: 1 day, 22:21:42 batch_cost: 2.2088 data_cost: 0.0014 ips: 25.3527 images/s [10/21 11:01:54] ppdet.engine INFO: Epoch: [27] [100/261] learning_rate: 0.293875 loss_vfl: 0.834238 loss_bbox: 0.308084 loss_dfl: 0.195547 loss: 1.351742 eta: 1 day, 22:20:21 batch_cost: 2.1758 data_cost: 0.0015 ips: 25.7374 images/s [10/21 11:02:43] ppdet.engine INFO: Epoch: [27] [120/261] learning_rate: 0.293841 loss_vfl: 0.847085 loss_bbox: 0.317809 loss_dfl: 0.201167 loss: 1.351711 eta: 1 day, 22:19:20 batch_cost: 2.2698 data_cost: 0.0013 ips: 24.6715 images/s [10/21 11:03:31] ppdet.engine INFO: Epoch: [27] [140/261] learning_rate: 0.293807 loss_vfl: 0.839532 loss_bbox: 0.327781 loss_dfl: 0.204465 loss: 1.369185 eta: 1 day, 22:18:24 batch_cost: 2.2974 data_cost: 0.0013 ips: 24.3757 images/s [10/21 11:04:19] ppdet.engine INFO: Epoch: [27] [160/261] learning_rate: 0.293772 loss_vfl: 0.834266 loss_bbox: 0.321542 loss_dfl: 0.203297 loss: 1.346552 eta: 1 day, 22:17:21 batch_cost: 2.2638 data_cost: 0.0013 ips: 24.7376 images/s [10/21 11:05:09] ppdet.engine INFO: Epoch: [27] [180/261] learning_rate: 0.293738 loss_vfl: 0.848429 loss_bbox: 0.334931 loss_dfl: 0.209777 loss: 1.375632 eta: 1 day, 22:16:37 batch_cost: 2.3607 data_cost: 0.0013 ips: 23.7223 images/s [10/21 11:05:58] ppdet.engine INFO: Epoch: [27] [200/261] learning_rate: 0.293704 loss_vfl: 0.858415 loss_bbox: 0.314840 loss_dfl: 0.188124 loss: 1.373982 eta: 1 day, 22:15:40 batch_cost: 2.2906 data_cost: 0.0013 ips: 24.4480 images/s [10/21 11:06:46] ppdet.engine INFO: Epoch: [27] [220/261] learning_rate: 0.293669 loss_vfl: 0.847201 loss_bbox: 0.302504 loss_dfl: 0.186402 loss: 1.340075 eta: 1 day, 22:14:38 batch_cost: 2.2658 data_cost: 0.0013 ips: 24.7158 images/s [10/21 11:07:35] ppdet.engine INFO: Epoch: [27] [240/261] learning_rate: 0.293634 loss_vfl: 0.838620 loss_bbox: 0.316500 loss_dfl: 0.203016 loss: 1.361140 eta: 1 day, 22:13:50 batch_cost: 2.3401 data_cost: 0.0013 ips: 23.9310 images/s [10/21 11:08:16] ppdet.engine INFO: Epoch: [27] [260/261] learning_rate: 0.293600 loss_vfl: 0.842180 loss_bbox: 0.306368 loss_dfl: 0.195141 loss: 1.346512 eta: 1 day, 22:11:39 batch_cost: 1.9120 data_cost: 0.0011 ips: 29.2882 images/s [10/21 11:08:39] ppdet.engine INFO: Epoch: [28] [ 0/261] learning_rate: 0.293598 loss_vfl: 0.855272 loss_bbox: 0.306368 loss_dfl: 0.195141 loss: 1.346512 eta: 1 day, 22:14:05 batch_cost: 2.6903 data_cost: 0.3369 ips: 20.8155 images/s [10/21 11:09:33] ppdet.engine INFO: Epoch: [28] [ 20/261] learning_rate: 0.293563 loss_vfl: 0.851849 loss_bbox: 0.299957 loss_dfl: 0.190586 loss: 1.343090 eta: 1 day, 22:13:57 batch_cost: 2.5429 data_cost: 0.0012 ips: 22.0217 images/s [10/21 11:10:19] ppdet.engine INFO: Epoch: [28] [ 40/261] learning_rate: 0.293528 loss_vfl: 0.833698 loss_bbox: 0.308611 loss_dfl: 0.196468 loss: 1.346822 eta: 1 day, 22:12:36 batch_cost: 2.1696 data_cost: 0.0014 ips: 25.8118 images/s [10/21 11:11:06] ppdet.engine INFO: Epoch: [28] [ 60/261] learning_rate: 0.293493 loss_vfl: 0.843412 loss_bbox: 0.301325 loss_dfl: 0.197656 loss: 1.358590 eta: 1 day, 22:11:24 batch_cost: 2.2116 data_cost: 0.0013 ips: 25.3206 images/s [10/21 11:11:56] ppdet.engine INFO: Epoch: [28] [ 80/261] learning_rate: 0.293458 loss_vfl: 0.840861 loss_bbox: 0.312281 loss_dfl: 0.197895 loss: 1.359516 eta: 1 day, 22:10:50 batch_cost: 2.4113 data_cost: 0.0013 ips: 23.2237 images/s [10/21 11:12:47] ppdet.engine INFO: Epoch: [28] [100/261] learning_rate: 0.293423 loss_vfl: 0.847743 loss_bbox: 0.302970 loss_dfl: 0.197282 loss: 1.364245 eta: 1 day, 22:10:05 batch_cost: 2.3546 data_cost: 0.0014 ips: 23.7828 images/s [10/21 11:13:33] ppdet.engine INFO: Epoch: [28] [120/261] learning_rate: 0.293388 loss_vfl: 0.829920 loss_bbox: 0.318248 loss_dfl: 0.198541 loss: 1.367841 eta: 1 day, 22:08:44 batch_cost: 2.1694 data_cost: 0.0015 ips: 25.8139 images/s [10/21 11:14:22] ppdet.engine INFO: Epoch: [28] [140/261] learning_rate: 0.293352 loss_vfl: 0.830624 loss_bbox: 0.310240 loss_dfl: 0.196770 loss: 1.324453 eta: 1 day, 22:07:47 batch_cost: 2.2906 data_cost: 0.0013 ips: 24.4481 images/s [10/21 11:15:13] ppdet.engine INFO: Epoch: [28] [160/261] learning_rate: 0.293317 loss_vfl: 0.835340 loss_bbox: 0.313440 loss_dfl: 0.205417 loss: 1.357269 eta: 1 day, 22:07:15 batch_cost: 2.4199 data_cost: 0.0014 ips: 23.1414 images/s [10/21 11:16:00] ppdet.engine INFO: Epoch: [28] [180/261] learning_rate: 0.293281 loss_vfl: 0.843761 loss_bbox: 0.305676 loss_dfl: 0.200344 loss: 1.368025 eta: 1 day, 22:06:11 batch_cost: 2.2558 data_cost: 0.0013 ips: 24.8245 images/s [10/21 11:16:47] ppdet.engine INFO: Epoch: [28] [200/261] learning_rate: 0.293245 loss_vfl: 0.850123 loss_bbox: 0.320786 loss_dfl: 0.198618 loss: 1.372113 eta: 1 day, 22:04:58 batch_cost: 2.2016 data_cost: 0.0014 ips: 25.4364 images/s [10/21 11:17:34] ppdet.engine INFO: Epoch: [28] [220/261] learning_rate: 0.293210 loss_vfl: 0.834727 loss_bbox: 0.311694 loss_dfl: 0.192691 loss: 1.334375 eta: 1 day, 22:03:42 batch_cost: 2.1903 data_cost: 0.0013 ips: 25.5667 images/s [10/21 11:18:26] ppdet.engine INFO: Epoch: [28] [240/261] learning_rate: 0.293174 loss_vfl: 0.825489 loss_bbox: 0.326153 loss_dfl: 0.202163 loss: 1.338744 eta: 1 day, 22:03:17 batch_cost: 2.4600 data_cost: 0.0013 ips: 22.7645 images/s [10/21 11:19:07] ppdet.engine INFO: Epoch: [28] [260/261] learning_rate: 0.293138 loss_vfl: 0.840387 loss_bbox: 0.320807 loss_dfl: 0.204000 loss: 1.347678 eta: 1 day, 22:01:25 batch_cost: 1.9941 data_cost: 0.0013 ips: 28.0835 images/s [10/21 11:19:29] ppdet.engine INFO: Epoch: [29] [ 0/261] learning_rate: 0.293136 loss_vfl: 0.838973 loss_bbox: 0.320807 loss_dfl: 0.204000 loss: 1.347678 eta: 1 day, 22:03:29 batch_cost: 2.7078 data_cost: 0.4276 ips: 20.6813 images/s [10/21 11:20:24] ppdet.engine INFO: Epoch: [29] [ 20/261] learning_rate: 0.293100 loss_vfl: 0.835838 loss_bbox: 0.307788 loss_dfl: 0.191776 loss: 1.353751 eta: 1 day, 22:03:39 batch_cost: 2.6500 data_cost: 0.0013 ips: 21.1320 images/s [10/21 11:21:14] ppdet.engine INFO: Epoch: [29] [ 40/261] learning_rate: 0.293064 loss_vfl: 0.838264 loss_bbox: 0.292524 loss_dfl: 0.192960 loss: 1.351287 eta: 1 day, 22:02:57 batch_cost: 2.3722 data_cost: 0.0013 ips: 23.6066 images/s [10/21 11:22:03] ppdet.engine INFO: Epoch: [29] [ 60/261] learning_rate: 0.293028 loss_vfl: 0.851519 loss_bbox: 0.316759 loss_dfl: 0.201475 loss: 1.348442 eta: 1 day, 22:02:08 batch_cost: 2.3352 data_cost: 0.0013 ips: 23.9808 images/s [10/21 11:22:51] ppdet.engine INFO: Epoch: [29] [ 80/261] learning_rate: 0.292991 loss_vfl: 0.848788 loss_bbox: 0.315006 loss_dfl: 0.200780 loss: 1.366279 eta: 1 day, 22:01:07 batch_cost: 2.2684 data_cost: 0.0013 ips: 24.6874 images/s [10/21 11:23:42] ppdet.engine INFO: Epoch: [29] [100/261] learning_rate: 0.292955 loss_vfl: 0.836038 loss_bbox: 0.333551 loss_dfl: 0.210182 loss: 1.387626 eta: 1 day, 22:00:32 batch_cost: 2.4052 data_cost: 0.0013 ips: 23.2825 images/s [10/21 11:24:29] ppdet.engine INFO: Epoch: [29] [120/261] learning_rate: 0.292918 loss_vfl: 0.822569 loss_bbox: 0.293131 loss_dfl: 0.189964 loss: 1.352007 eta: 1 day, 21:59:20 batch_cost: 2.2101 data_cost: 0.0012 ips: 25.3383 images/s [10/21 11:25:19] ppdet.engine INFO: Epoch: [29] [140/261] learning_rate: 0.292882 loss_vfl: 0.826188 loss_bbox: 0.299908 loss_dfl: 0.186174 loss: 1.347619 eta: 1 day, 21:58:45 batch_cost: 2.4078 data_cost: 0.0013 ips: 23.2575 images/s [10/21 11:26:09] ppdet.engine INFO: Epoch: [29] [160/261] learning_rate: 0.292845 loss_vfl: 0.826373 loss_bbox: 0.319205 loss_dfl: 0.201163 loss: 1.347351 eta: 1 day, 21:57:54 batch_cost: 2.3218 data_cost: 0.0014 ips: 24.1188 images/s [10/21 11:26:59] ppdet.engine INFO: Epoch: [29] [180/261] learning_rate: 0.292808 loss_vfl: 0.849847 loss_bbox: 0.318174 loss_dfl: 0.193339 loss: 1.362133 eta: 1 day, 21:57:07 batch_cost: 2.3468 data_cost: 0.0013 ips: 23.8620 images/s [10/21 11:27:48] ppdet.engine INFO: Epoch: [29] [200/261] learning_rate: 0.292771 loss_vfl: 0.826798 loss_bbox: 0.316478 loss_dfl: 0.198863 loss: 1.356761 eta: 1 day, 21:56:04 batch_cost: 2.2579 data_cost: 0.0013 ips: 24.8022 images/s [10/21 11:28:37] ppdet.engine INFO: Epoch: [29] [220/261] learning_rate: 0.292735 loss_vfl: 0.851857 loss_bbox: 0.290961 loss_dfl: 0.186643 loss: 1.342745 eta: 1 day, 21:55:15 batch_cost: 2.3304 data_cost: 0.0014 ips: 24.0306 images/s [10/21 11:29:25] ppdet.engine INFO: Epoch: [29] [240/261] learning_rate: 0.292697 loss_vfl: 0.838395 loss_bbox: 0.330835 loss_dfl: 0.212598 loss: 1.377731 eta: 1 day, 21:54:18 batch_cost: 2.2874 data_cost: 0.0014 ips: 24.4820 images/s [10/21 11:30:10] ppdet.engine INFO: Epoch: [29] [260/261] learning_rate: 0.292660 loss_vfl: 0.836691 loss_bbox: 0.298664 loss_dfl: 0.190520 loss: 1.330733 eta: 1 day, 21:52:48 batch_cost: 2.1075 data_cost: 0.0013 ips: 26.5721 images/s [10/21 11:30:15] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 11:30:16] ppdet.engine INFO: Eval iter: 0 [10/21 11:30:44] ppdet.engine INFO: Eval iter: 100 [10/21 11:31:00] ppdet.engine INFO: Eval iter: 200 [10/21 11:31:16] ppdet.engine INFO: Eval iter: 300 [10/21 11:31:32] ppdet.engine INFO: Eval iter: 400 [10/21 11:31:47] ppdet.engine INFO: Eval iter: 500 [10/21 11:32:03] ppdet.engine INFO: Eval iter: 600 [10/21 11:32:18] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.95s) creating index... index created! [10/21 11:32:19] 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=69.93s). Accumulating evaluation results... DONE (t=12.54s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.321 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.484 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.334 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.124 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.342 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.278 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.439 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.469 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.203 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.526 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.698 [10/21 11:33:48] ppdet.engine INFO: Total sample number: 4952, averge FPS: 43.93167579275102 [10/21 11:33:48] ppdet.engine INFO: Best test bbox ap is 0.321. [10/21 11:33:48] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 11:33:53] ppdet.engine INFO: Epoch: [30] [ 0/261] learning_rate: 0.292658 loss_vfl: 0.838806 loss_bbox: 0.298664 loss_dfl: 0.190520 loss: 1.330733 eta: 1 day, 21:52:58 batch_cost: 2.1737 data_cost: 0.0014 ips: 25.7627 images/s [10/21 11:34:45] ppdet.engine INFO: Epoch: [30] [ 20/261] learning_rate: 0.292621 loss_vfl: 0.824385 loss_bbox: 0.315854 loss_dfl: 0.200164 loss: 1.350434 eta: 1 day, 21:52:41 batch_cost: 2.5068 data_cost: 0.0014 ips: 22.3388 images/s [10/21 11:35:33] ppdet.engine INFO: Epoch: [30] [ 40/261] learning_rate: 0.292584 loss_vfl: 0.831043 loss_bbox: 0.295994 loss_dfl: 0.189676 loss: 1.317872 eta: 1 day, 21:51:40 batch_cost: 2.2654 data_cost: 0.0013 ips: 24.7192 images/s [10/21 11:36:23] ppdet.engine INFO: Epoch: [30] [ 60/261] learning_rate: 0.292546 loss_vfl: 0.828960 loss_bbox: 0.313764 loss_dfl: 0.205159 loss: 1.358768 eta: 1 day, 21:50:58 batch_cost: 2.3751 data_cost: 0.0013 ips: 23.5783 images/s [10/21 11:37:12] ppdet.engine INFO: Epoch: [30] [ 80/261] learning_rate: 0.292509 loss_vfl: 0.832465 loss_bbox: 0.292404 loss_dfl: 0.192538 loss: 1.321154 eta: 1 day, 21:49:57 batch_cost: 2.2600 data_cost: 0.0013 ips: 24.7785 images/s [10/21 11:38:01] ppdet.engine INFO: Epoch: [30] [100/261] learning_rate: 0.292471 loss_vfl: 0.846390 loss_bbox: 0.294520 loss_dfl: 0.199959 loss: 1.350303 eta: 1 day, 21:49:16 batch_cost: 2.3771 data_cost: 0.0012 ips: 23.5577 images/s [10/21 11:38:50] ppdet.engine INFO: Epoch: [30] [120/261] learning_rate: 0.292434 loss_vfl: 0.847162 loss_bbox: 0.317112 loss_dfl: 0.195573 loss: 1.356884 eta: 1 day, 21:48:16 batch_cost: 2.2720 data_cost: 0.0013 ips: 24.6475 images/s [10/21 11:39:36] ppdet.engine INFO: Epoch: [30] [140/261] learning_rate: 0.292396 loss_vfl: 0.852570 loss_bbox: 0.319685 loss_dfl: 0.200956 loss: 1.363196 eta: 1 day, 21:47:06 batch_cost: 2.2119 data_cost: 0.0013 ips: 25.3178 images/s [10/21 11:40:24] ppdet.engine INFO: Epoch: [30] [160/261] learning_rate: 0.292358 loss_vfl: 0.854641 loss_bbox: 0.285445 loss_dfl: 0.189837 loss: 1.340521 eta: 1 day, 21:45:55 batch_cost: 2.2052 data_cost: 0.0013 ips: 25.3943 images/s [10/21 11:41:14] ppdet.engine INFO: Epoch: [30] [180/261] learning_rate: 0.292320 loss_vfl: 0.835562 loss_bbox: 0.315763 loss_dfl: 0.201852 loss: 1.334874 eta: 1 day, 21:45:06 batch_cost: 2.3362 data_cost: 0.0014 ips: 23.9709 images/s [10/21 11:42:03] ppdet.engine INFO: Epoch: [30] [200/261] learning_rate: 0.292282 loss_vfl: 0.837897 loss_bbox: 0.300109 loss_dfl: 0.190402 loss: 1.329346 eta: 1 day, 21:44:05 batch_cost: 2.2588 data_cost: 0.0014 ips: 24.7918 images/s [10/21 11:42:53] ppdet.engine INFO: Epoch: [30] [220/261] learning_rate: 0.292244 loss_vfl: 0.845311 loss_bbox: 0.336718 loss_dfl: 0.209547 loss: 1.381905 eta: 1 day, 21:43:27 batch_cost: 2.3952 data_cost: 0.0013 ips: 23.3802 images/s [10/21 11:43:40] ppdet.engine INFO: Epoch: [30] [240/261] learning_rate: 0.292206 loss_vfl: 0.832462 loss_bbox: 0.306466 loss_dfl: 0.197989 loss: 1.345808 eta: 1 day, 21:42:13 batch_cost: 2.1857 data_cost: 0.0014 ips: 25.6210 images/s [10/21 11:44:21] ppdet.engine INFO: Epoch: [30] [260/261] learning_rate: 0.292167 loss_vfl: 0.858159 loss_bbox: 0.317893 loss_dfl: 0.200883 loss: 1.383919 eta: 1 day, 21:40:12 batch_cost: 1.9190 data_cost: 0.0013 ips: 29.1826 images/s [10/21 11:44:46] ppdet.engine INFO: Epoch: [31] [ 0/261] learning_rate: 0.292165 loss_vfl: 0.858159 loss_bbox: 0.317893 loss_dfl: 0.201652 loss: 1.390522 eta: 1 day, 21:42:38 batch_cost: 2.7904 data_cost: 0.5701 ips: 20.0689 images/s [10/21 11:45:40] ppdet.engine INFO: Epoch: [31] [ 20/261] learning_rate: 0.292127 loss_vfl: 0.840997 loss_bbox: 0.280385 loss_dfl: 0.187009 loss: 1.317341 eta: 1 day, 21:42:24 batch_cost: 2.5300 data_cost: 0.0013 ips: 22.1345 images/s [10/21 11:46:29] ppdet.engine INFO: Epoch: [31] [ 40/261] learning_rate: 0.292088 loss_vfl: 0.816105 loss_bbox: 0.325038 loss_dfl: 0.200028 loss: 1.342030 eta: 1 day, 21:41:29 batch_cost: 2.2976 data_cost: 0.0012 ips: 24.3735 images/s [10/21 11:47:19] ppdet.engine INFO: Epoch: [31] [ 60/261] learning_rate: 0.292050 loss_vfl: 0.838278 loss_bbox: 0.303302 loss_dfl: 0.188999 loss: 1.344854 eta: 1 day, 21:40:50 batch_cost: 2.3913 data_cost: 0.0013 ips: 23.4183 images/s [10/21 11:48:09] ppdet.engine INFO: Epoch: [31] [ 80/261] learning_rate: 0.292011 loss_vfl: 0.842058 loss_bbox: 0.310101 loss_dfl: 0.197993 loss: 1.357521 eta: 1 day, 21:40:11 batch_cost: 2.3927 data_cost: 0.0012 ips: 23.4042 images/s [10/21 11:48:58] ppdet.engine INFO: Epoch: [31] [100/261] learning_rate: 0.291972 loss_vfl: 0.833736 loss_bbox: 0.310364 loss_dfl: 0.201045 loss: 1.344769 eta: 1 day, 21:39:04 batch_cost: 2.2225 data_cost: 0.0013 ips: 25.1968 images/s [10/21 11:49:47] ppdet.engine INFO: Epoch: [31] [120/261] learning_rate: 0.291933 loss_vfl: 0.845096 loss_bbox: 0.311268 loss_dfl: 0.195978 loss: 1.346780 eta: 1 day, 21:38:08 batch_cost: 2.2917 data_cost: 0.0013 ips: 24.4355 images/s [10/21 11:50:37] ppdet.engine INFO: Epoch: [31] [140/261] learning_rate: 0.291894 loss_vfl: 0.818916 loss_bbox: 0.313557 loss_dfl: 0.196151 loss: 1.331821 eta: 1 day, 21:37:25 batch_cost: 2.3668 data_cost: 0.0013 ips: 23.6605 images/s [10/21 11:51:25] ppdet.engine INFO: Epoch: [31] [160/261] learning_rate: 0.291855 loss_vfl: 0.830904 loss_bbox: 0.304451 loss_dfl: 0.200452 loss: 1.338380 eta: 1 day, 21:36:15 batch_cost: 2.2093 data_cost: 0.0013 ips: 25.3479 images/s [10/21 11:52:13] ppdet.engine INFO: Epoch: [31] [180/261] learning_rate: 0.291816 loss_vfl: 0.831810 loss_bbox: 0.324158 loss_dfl: 0.205292 loss: 1.355943 eta: 1 day, 21:35:19 batch_cost: 2.2895 data_cost: 0.0013 ips: 24.4594 images/s [10/21 11:53:02] ppdet.engine INFO: Epoch: [31] [200/261] learning_rate: 0.291777 loss_vfl: 0.817117 loss_bbox: 0.287447 loss_dfl: 0.185999 loss: 1.289712 eta: 1 day, 21:34:21 batch_cost: 2.2796 data_cost: 0.0013 ips: 24.5656 images/s [10/21 11:53:52] ppdet.engine INFO: Epoch: [31] [220/261] learning_rate: 0.291737 loss_vfl: 0.864895 loss_bbox: 0.295265 loss_dfl: 0.195520 loss: 1.349287 eta: 1 day, 21:33:39 batch_cost: 2.3726 data_cost: 0.0014 ips: 23.6030 images/s [10/21 11:54:40] ppdet.engine INFO: Epoch: [31] [240/261] learning_rate: 0.291698 loss_vfl: 0.823470 loss_bbox: 0.308389 loss_dfl: 0.193998 loss: 1.320497 eta: 1 day, 21:32:37 batch_cost: 2.2493 data_cost: 0.0013 ips: 24.8964 images/s [10/21 11:55:25] ppdet.engine INFO: Epoch: [31] [260/261] learning_rate: 0.291658 loss_vfl: 0.834760 loss_bbox: 0.288530 loss_dfl: 0.191666 loss: 1.321172 eta: 1 day, 21:31:24 batch_cost: 2.1904 data_cost: 0.0011 ips: 25.5666 images/s [10/21 11:55:47] ppdet.engine INFO: Epoch: [32] [ 0/261] learning_rate: 0.291656 loss_vfl: 0.836645 loss_bbox: 0.288530 loss_dfl: 0.191666 loss: 1.321172 eta: 1 day, 21:33:13 batch_cost: 2.8621 data_cost: 0.2474 ips: 19.5663 images/s [10/21 11:56:42] ppdet.engine INFO: Epoch: [32] [ 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loss_bbox: 0.300875 loss_dfl: 0.197794 loss: 1.345898 eta: 1 day, 21:29:14 batch_cost: 2.3167 data_cost: 0.0013 ips: 24.1721 images/s [10/21 12:00:46] ppdet.engine INFO: Epoch: [32] [120/261] learning_rate: 0.291417 loss_vfl: 0.858918 loss_bbox: 0.306137 loss_dfl: 0.195322 loss: 1.341119 eta: 1 day, 21:28:12 batch_cost: 2.2493 data_cost: 0.0013 ips: 24.8969 images/s [10/21 12:01:35] ppdet.engine INFO: Epoch: [32] [140/261] learning_rate: 0.291377 loss_vfl: 0.839319 loss_bbox: 0.302429 loss_dfl: 0.195740 loss: 1.333384 eta: 1 day, 21:27:18 batch_cost: 2.3002 data_cost: 0.0013 ips: 24.3457 images/s [10/21 12:02:27] ppdet.engine INFO: Epoch: [32] [160/261] learning_rate: 0.291337 loss_vfl: 0.849097 loss_bbox: 0.291900 loss_dfl: 0.188063 loss: 1.329841 eta: 1 day, 21:26:55 batch_cost: 2.4918 data_cost: 0.0013 ips: 22.4733 images/s [10/21 12:03:17] ppdet.engine INFO: Epoch: [32] [180/261] learning_rate: 0.291297 loss_vfl: 0.828603 loss_bbox: 0.306421 loss_dfl: 0.188004 loss: 1.328015 eta: 1 day, 21:26:07 batch_cost: 2.3407 data_cost: 0.0013 ips: 23.9242 images/s [10/21 12:04:06] ppdet.engine INFO: Epoch: [32] [200/261] learning_rate: 0.291256 loss_vfl: 0.838311 loss_bbox: 0.324630 loss_dfl: 0.202832 loss: 1.368426 eta: 1 day, 21:25:22 batch_cost: 2.3534 data_cost: 0.0014 ips: 23.7950 images/s [10/21 12:04:53] ppdet.engine INFO: Epoch: [32] [220/261] learning_rate: 0.291216 loss_vfl: 0.841368 loss_bbox: 0.294603 loss_dfl: 0.188496 loss: 1.335266 eta: 1 day, 21:24:14 batch_cost: 2.2142 data_cost: 0.0013 ips: 25.2907 images/s [10/21 12:05:41] ppdet.engine INFO: Epoch: [32] [240/261] learning_rate: 0.291175 loss_vfl: 0.852657 loss_bbox: 0.303911 loss_dfl: 0.192526 loss: 1.352575 eta: 1 day, 21:23:19 batch_cost: 2.2975 data_cost: 0.0013 ips: 24.3743 images/s [10/21 12:06:23] ppdet.engine INFO: Epoch: [32] [260/261] learning_rate: 0.291134 loss_vfl: 0.832629 loss_bbox: 0.332448 loss_dfl: 0.204622 loss: 1.356601 eta: 1 day, 21:21:37 batch_cost: 2.0021 data_cost: 0.0011 ips: 27.9707 images/s [10/21 12:06:45] ppdet.engine INFO: Epoch: [33] [ 0/261] learning_rate: 0.291132 loss_vfl: 0.841674 loss_bbox: 0.332448 loss_dfl: 0.206366 loss: 1.359014 eta: 1 day, 21:23:29 batch_cost: 2.7229 data_cost: 0.4642 ips: 20.5666 images/s [10/21 12:07:38] ppdet.engine INFO: Epoch: [33] [ 20/261] learning_rate: 0.291091 loss_vfl: 0.829707 loss_bbox: 0.313252 loss_dfl: 0.196788 loss: 1.322808 eta: 1 day, 21:23:09 batch_cost: 2.5119 data_cost: 0.0013 ips: 22.2942 images/s [10/21 12:08:25] ppdet.engine INFO: Epoch: [33] [ 40/261] learning_rate: 0.291050 loss_vfl: 0.816012 loss_bbox: 0.318311 loss_dfl: 0.193253 loss: 1.316519 eta: 1 day, 21:22:03 batch_cost: 2.2286 data_cost: 0.0015 ips: 25.1282 images/s [10/21 12:09:13] ppdet.engine INFO: Epoch: [33] [ 60/261] learning_rate: 0.291009 loss_vfl: 0.838232 loss_bbox: 0.323166 loss_dfl: 0.199373 loss: 1.362303 eta: 1 day, 21:21:09 batch_cost: 2.3000 data_cost: 0.0013 ips: 24.3483 images/s [10/21 12:10:03] ppdet.engine INFO: Epoch: [33] [ 80/261] learning_rate: 0.290968 loss_vfl: 0.820196 loss_bbox: 0.328826 loss_dfl: 0.200431 loss: 1.353379 eta: 1 day, 21:20:22 batch_cost: 2.3467 data_cost: 0.0015 ips: 23.8637 images/s [10/21 12:10:51] ppdet.engine INFO: Epoch: [33] [100/261] learning_rate: 0.290927 loss_vfl: 0.834249 loss_bbox: 0.313503 loss_dfl: 0.204454 loss: 1.354858 eta: 1 day, 21:19:17 batch_cost: 2.2309 data_cost: 0.0014 ips: 25.1019 images/s [10/21 12:11:41] ppdet.engine INFO: Epoch: [33] [120/261] learning_rate: 0.290886 loss_vfl: 0.827784 loss_bbox: 0.317560 loss_dfl: 0.207027 loss: 1.346263 eta: 1 day, 21:18:29 batch_cost: 2.3342 data_cost: 0.0013 ips: 23.9914 images/s [10/21 12:12:31] ppdet.engine INFO: Epoch: [33] [140/261] learning_rate: 0.290844 loss_vfl: 0.831547 loss_bbox: 0.310467 loss_dfl: 0.202160 loss: 1.366952 eta: 1 day, 21:17:43 batch_cost: 2.3500 data_cost: 0.0013 ips: 23.8296 images/s [10/21 12:13:19] ppdet.engine INFO: Epoch: [33] [160/261] learning_rate: 0.290803 loss_vfl: 0.817643 loss_bbox: 0.327378 loss_dfl: 0.201437 loss: 1.347235 eta: 1 day, 21:16:40 batch_cost: 2.2461 data_cost: 0.0013 ips: 24.9325 images/s [10/21 12:14:07] ppdet.engine INFO: Epoch: [33] [180/261] learning_rate: 0.290761 loss_vfl: 0.828527 loss_bbox: 0.318245 loss_dfl: 0.195132 loss: 1.360994 eta: 1 day, 21:15:47 batch_cost: 2.3074 data_cost: 0.0013 ips: 24.2698 images/s [10/21 12:14:55] ppdet.engine INFO: Epoch: [33] [200/261] learning_rate: 0.290720 loss_vfl: 0.832469 loss_bbox: 0.292386 loss_dfl: 0.193660 loss: 1.311995 eta: 1 day, 21:14:52 batch_cost: 2.2914 data_cost: 0.0014 ips: 24.4387 images/s [10/21 12:15:43] ppdet.engine INFO: Epoch: [33] [220/261] learning_rate: 0.290678 loss_vfl: 0.818367 loss_bbox: 0.334444 loss_dfl: 0.204377 loss: 1.363353 eta: 1 day, 21:13:55 batch_cost: 2.2807 data_cost: 0.0014 ips: 24.5541 images/s [10/21 12:16:34] ppdet.engine INFO: Epoch: [33] [240/261] learning_rate: 0.290636 loss_vfl: 0.827794 loss_bbox: 0.317327 loss_dfl: 0.197980 loss: 1.354879 eta: 1 day, 21:13:10 batch_cost: 2.3559 data_cost: 0.0013 ips: 23.7700 images/s [10/21 12:17:16] ppdet.engine INFO: Epoch: [33] [260/261] learning_rate: 0.290594 loss_vfl: 0.818723 loss_bbox: 0.301501 loss_dfl: 0.184037 loss: 1.320662 eta: 1 day, 21:11:30 batch_cost: 2.0058 data_cost: 0.0013 ips: 27.9192 images/s [10/21 12:17:38] ppdet.engine INFO: Epoch: [34] [ 0/261] learning_rate: 0.290592 loss_vfl: 0.818723 loss_bbox: 0.303637 loss_dfl: 0.188370 loss: 1.321440 eta: 1 day, 21:13:22 batch_cost: 2.7516 data_cost: 0.4310 ips: 20.3516 images/s [10/21 12:18:33] ppdet.engine INFO: Epoch: [34] [ 20/261] learning_rate: 0.290550 loss_vfl: 0.821837 loss_bbox: 0.311408 loss_dfl: 0.198424 loss: 1.344891 eta: 1 day, 21:13:06 batch_cost: 2.5483 data_cost: 0.0013 ips: 21.9754 images/s [10/21 12:19:19] ppdet.engine INFO: Epoch: [34] [ 40/261] learning_rate: 0.290508 loss_vfl: 0.842345 loss_bbox: 0.309963 loss_dfl: 0.192789 loss: 1.335269 eta: 1 day, 21:11:53 batch_cost: 2.1718 data_cost: 0.0013 ips: 25.7846 images/s [10/21 12:20:09] ppdet.engine INFO: Epoch: [34] [ 60/261] learning_rate: 0.290466 loss_vfl: 0.842554 loss_bbox: 0.293654 loss_dfl: 0.190570 loss: 1.323715 eta: 1 day, 21:11:06 batch_cost: 2.3476 data_cost: 0.0014 ips: 23.8541 images/s [10/21 12:20:56] ppdet.engine INFO: Epoch: [34] [ 80/261] learning_rate: 0.290424 loss_vfl: 0.835971 loss_bbox: 0.309960 loss_dfl: 0.193355 loss: 1.331510 eta: 1 day, 21:09:56 batch_cost: 2.1953 data_cost: 0.0014 ips: 25.5086 images/s [10/21 12:21:45] ppdet.engine INFO: Epoch: [34] [100/261] learning_rate: 0.290381 loss_vfl: 0.834003 loss_bbox: 0.277363 loss_dfl: 0.178474 loss: 1.294268 eta: 1 day, 21:09:12 batch_cost: 2.3641 data_cost: 0.0014 ips: 23.6873 images/s [10/21 12:22:33] ppdet.engine INFO: Epoch: [34] [120/261] learning_rate: 0.290339 loss_vfl: 0.828682 loss_bbox: 0.307463 loss_dfl: 0.196361 loss: 1.329484 eta: 1 day, 21:08:19 batch_cost: 2.3046 data_cost: 0.0014 ips: 24.2988 images/s [10/21 12:23:22] ppdet.engine INFO: Epoch: [34] [140/261] learning_rate: 0.290296 loss_vfl: 0.834392 loss_bbox: 0.317491 loss_dfl: 0.199669 loss: 1.360247 eta: 1 day, 21:07:21 batch_cost: 2.2692 data_cost: 0.0013 ips: 24.6779 images/s [10/21 12:24:12] ppdet.engine INFO: Epoch: [34] [160/261] learning_rate: 0.290254 loss_vfl: 0.822679 loss_bbox: 0.308229 loss_dfl: 0.191986 loss: 1.327315 eta: 1 day, 21:06:38 batch_cost: 2.3752 data_cost: 0.0012 ips: 23.5765 images/s [10/21 12:25:02] ppdet.engine INFO: Epoch: [34] [180/261] learning_rate: 0.290211 loss_vfl: 0.840332 loss_bbox: 0.290193 loss_dfl: 0.191966 loss: 1.325716 eta: 1 day, 21:05:54 batch_cost: 2.3646 data_cost: 0.0013 ips: 23.6826 images/s [10/21 12:25:51] ppdet.engine INFO: Epoch: [34] [200/261] learning_rate: 0.290168 loss_vfl: 0.836226 loss_bbox: 0.303725 loss_dfl: 0.193901 loss: 1.318080 eta: 1 day, 21:05:00 batch_cost: 2.2935 data_cost: 0.0012 ips: 24.4165 images/s [10/21 12:26:37] ppdet.engine INFO: Epoch: [34] [220/261] learning_rate: 0.290125 loss_vfl: 0.833370 loss_bbox: 0.318269 loss_dfl: 0.200818 loss: 1.362643 eta: 1 day, 21:03:44 batch_cost: 2.1517 data_cost: 0.0014 ips: 26.0257 images/s [10/21 12:27:25] ppdet.engine INFO: Epoch: [34] [240/261] learning_rate: 0.290082 loss_vfl: 0.835926 loss_bbox: 0.298389 loss_dfl: 0.193084 loss: 1.321877 eta: 1 day, 21:02:37 batch_cost: 2.2154 data_cost: 0.0014 ips: 25.2771 images/s [10/21 12:28:07] ppdet.engine INFO: Epoch: [34] [260/261] learning_rate: 0.290039 loss_vfl: 0.830785 loss_bbox: 0.316546 loss_dfl: 0.200759 loss: 1.356104 eta: 1 day, 21:00:59 batch_cost: 2.0023 data_cost: 0.0012 ips: 27.9681 images/s [10/21 12:28:30] ppdet.engine INFO: Epoch: [35] [ 0/261] learning_rate: 0.290037 loss_vfl: 0.830785 loss_bbox: 0.320474 loss_dfl: 0.199444 loss: 1.356104 eta: 1 day, 21:02:47 batch_cost: 2.7718 data_cost: 0.2335 ips: 20.2037 images/s [10/21 12:29:25] ppdet.engine INFO: Epoch: [35] [ 20/261] learning_rate: 0.289994 loss_vfl: 0.819795 loss_bbox: 0.300318 loss_dfl: 0.192253 loss: 1.323780 eta: 1 day, 21:02:30 batch_cost: 2.5392 data_cost: 0.0014 ips: 22.0545 images/s [10/21 12:30:13] ppdet.engine INFO: Epoch: [35] [ 40/261] learning_rate: 0.289951 loss_vfl: 0.847364 loss_bbox: 0.292499 loss_dfl: 0.190723 loss: 1.325433 eta: 1 day, 21:01:36 batch_cost: 2.2997 data_cost: 0.0013 ips: 24.3506 images/s [10/21 12:31:03] ppdet.engine INFO: Epoch: [35] [ 60/261] learning_rate: 0.289907 loss_vfl: 0.850041 loss_bbox: 0.303784 loss_dfl: 0.192481 loss: 1.335117 eta: 1 day, 21:00:46 batch_cost: 2.3204 data_cost: 0.0013 ips: 24.1334 images/s [10/21 12:31:51] ppdet.engine INFO: Epoch: [35] [ 80/261] learning_rate: 0.289864 loss_vfl: 0.825440 loss_bbox: 0.312697 loss_dfl: 0.204170 loss: 1.344242 eta: 1 day, 20:59:38 batch_cost: 2.2067 data_cost: 0.0013 ips: 25.3770 images/s [10/21 12:32:38] ppdet.engine INFO: Epoch: [35] [100/261] learning_rate: 0.289820 loss_vfl: 0.817015 loss_bbox: 0.298382 loss_dfl: 0.193391 loss: 1.320895 eta: 1 day, 20:58:27 batch_cost: 2.1844 data_cost: 0.0014 ips: 25.6365 images/s [10/21 12:33:24] ppdet.engine INFO: Epoch: [35] [120/261] learning_rate: 0.289777 loss_vfl: 0.827798 loss_bbox: 0.302796 loss_dfl: 0.196462 loss: 1.318894 eta: 1 day, 20:57:19 batch_cost: 2.2027 data_cost: 0.0013 ips: 25.4231 images/s [10/21 12:34:15] ppdet.engine INFO: Epoch: [35] [140/261] learning_rate: 0.289733 loss_vfl: 0.832425 loss_bbox: 0.296081 loss_dfl: 0.195323 loss: 1.327436 eta: 1 day, 20:56:41 batch_cost: 2.4015 data_cost: 0.0013 ips: 23.3187 images/s [10/21 12:35:04] ppdet.engine INFO: Epoch: [35] [160/261] learning_rate: 0.289689 loss_vfl: 0.837686 loss_bbox: 0.305301 loss_dfl: 0.196525 loss: 1.330372 eta: 1 day, 20:55:51 batch_cost: 2.3254 data_cost: 0.0013 ips: 24.0823 images/s [10/21 12:35:54] ppdet.engine INFO: Epoch: [35] [180/261] learning_rate: 0.289645 loss_vfl: 0.840264 loss_bbox: 0.311461 loss_dfl: 0.197150 loss: 1.341656 eta: 1 day, 20:54:57 batch_cost: 2.2964 data_cost: 0.0013 ips: 24.3863 images/s [10/21 12:36:43] ppdet.engine INFO: Epoch: [35] [200/261] learning_rate: 0.289601 loss_vfl: 0.832447 loss_bbox: 0.297861 loss_dfl: 0.195242 loss: 1.316567 eta: 1 day, 20:53:57 batch_cost: 2.2535 data_cost: 0.0013 ips: 24.8504 images/s [10/21 12:37:30] ppdet.engine INFO: Epoch: [35] [220/261] learning_rate: 0.289557 loss_vfl: 0.823553 loss_bbox: 0.317034 loss_dfl: 0.193976 loss: 1.331722 eta: 1 day, 20:52:56 batch_cost: 2.2513 data_cost: 0.0014 ips: 24.8742 images/s [10/21 12:38:18] ppdet.engine INFO: Epoch: [35] [240/261] learning_rate: 0.289513 loss_vfl: 0.819597 loss_bbox: 0.322466 loss_dfl: 0.199570 loss: 1.352105 eta: 1 day, 20:51:54 batch_cost: 2.2371 data_cost: 0.0014 ips: 25.0324 images/s [10/21 12:39:00] ppdet.engine INFO: Epoch: [35] [260/261] learning_rate: 0.289469 loss_vfl: 0.839592 loss_bbox: 0.299294 loss_dfl: 0.195142 loss: 1.353244 eta: 1 day, 20:50:18 batch_cost: 2.0098 data_cost: 0.0013 ips: 27.8637 images/s [10/21 12:39:24] ppdet.engine INFO: Epoch: [36] [ 0/261] learning_rate: 0.289466 loss_vfl: 0.839592 loss_bbox: 0.299294 loss_dfl: 0.195142 loss: 1.346800 eta: 1 day, 20:52:14 batch_cost: 2.8451 data_cost: 0.4165 ips: 19.6828 images/s [10/21 12:40:18] ppdet.engine INFO: Epoch: [36] [ 20/261] learning_rate: 0.289422 loss_vfl: 0.813428 loss_bbox: 0.306167 loss_dfl: 0.197723 loss: 1.302997 eta: 1 day, 20:52:04 batch_cost: 2.5950 data_cost: 0.0014 ips: 21.5797 images/s [10/21 12:41:09] ppdet.engine INFO: Epoch: [36] [ 40/261] learning_rate: 0.289378 loss_vfl: 0.814200 loss_bbox: 0.292333 loss_dfl: 0.188465 loss: 1.294190 eta: 1 day, 20:51:17 batch_cost: 2.3407 data_cost: 0.0013 ips: 23.9249 images/s [10/21 12:41:56] ppdet.engine INFO: Epoch: [36] [ 60/261] learning_rate: 0.289333 loss_vfl: 0.832081 loss_bbox: 0.289831 loss_dfl: 0.188583 loss: 1.325499 eta: 1 day, 20:50:09 batch_cost: 2.2004 data_cost: 0.0067 ips: 25.4495 images/s [10/21 12:42:45] ppdet.engine INFO: Epoch: [36] [ 80/261] learning_rate: 0.289289 loss_vfl: 0.808692 loss_bbox: 0.297243 loss_dfl: 0.189532 loss: 1.292360 eta: 1 day, 20:49:13 batch_cost: 2.2817 data_cost: 0.0012 ips: 24.5429 images/s [10/21 12:43:34] ppdet.engine INFO: Epoch: [36] [100/261] learning_rate: 0.289244 loss_vfl: 0.841698 loss_bbox: 0.298623 loss_dfl: 0.189953 loss: 1.320339 eta: 1 day, 20:48:22 batch_cost: 2.3168 data_cost: 0.0013 ips: 24.1708 images/s [10/21 12:44:25] ppdet.engine INFO: Epoch: [36] [120/261] learning_rate: 0.289199 loss_vfl: 0.830256 loss_bbox: 0.326054 loss_dfl: 0.203035 loss: 1.356142 eta: 1 day, 20:47:50 batch_cost: 2.4516 data_cost: 0.0013 ips: 22.8426 images/s [10/21 12:45:11] ppdet.engine INFO: Epoch: [36] [140/261] learning_rate: 0.289154 loss_vfl: 0.829341 loss_bbox: 0.316458 loss_dfl: 0.195997 loss: 1.347681 eta: 1 day, 20:46:34 batch_cost: 2.1397 data_cost: 0.0013 ips: 26.1716 images/s [10/21 12:45:58] ppdet.engine INFO: Epoch: [36] [160/261] learning_rate: 0.289109 loss_vfl: 0.840880 loss_bbox: 0.315897 loss_dfl: 0.203473 loss: 1.358271 eta: 1 day, 20:45:26 batch_cost: 2.1980 data_cost: 0.0013 ips: 25.4773 images/s [10/21 12:46:47] ppdet.engine INFO: Epoch: [36] [180/261] learning_rate: 0.289064 loss_vfl: 0.828967 loss_bbox: 0.303241 loss_dfl: 0.191528 loss: 1.340691 eta: 1 day, 20:44:30 batch_cost: 2.2824 data_cost: 0.0013 ips: 24.5357 images/s [10/21 12:47:35] ppdet.engine INFO: Epoch: [36] [200/261] learning_rate: 0.289019 loss_vfl: 0.807979 loss_bbox: 0.326525 loss_dfl: 0.203797 loss: 1.320995 eta: 1 day, 20:43:36 batch_cost: 2.2879 data_cost: 0.0013 ips: 24.4764 images/s [10/21 12:48:22] ppdet.engine INFO: Epoch: [36] [220/261] learning_rate: 0.288974 loss_vfl: 0.830721 loss_bbox: 0.284076 loss_dfl: 0.184945 loss: 1.306142 eta: 1 day, 20:42:30 batch_cost: 2.2097 data_cost: 0.0013 ips: 25.3432 images/s [10/21 12:49:08] ppdet.engine INFO: Epoch: [36] [240/261] learning_rate: 0.288928 loss_vfl: 0.828902 loss_bbox: 0.291393 loss_dfl: 0.189674 loss: 1.311865 eta: 1 day, 20:41:19 batch_cost: 2.1752 data_cost: 0.0013 ips: 25.7449 images/s [10/21 12:49:52] ppdet.engine INFO: Epoch: [36] [260/261] learning_rate: 0.288883 loss_vfl: 0.831664 loss_bbox: 0.281092 loss_dfl: 0.191501 loss: 1.327166 eta: 1 day, 20:39:50 batch_cost: 2.0507 data_cost: 0.0012 ips: 27.3079 images/s [10/21 12:50:15] ppdet.engine INFO: Epoch: [37] [ 0/261] learning_rate: 0.288881 loss_vfl: 0.828480 loss_bbox: 0.286127 loss_dfl: 0.191939 loss: 1.324197 eta: 1 day, 20:41:42 batch_cost: 2.8387 data_cost: 0.2953 ips: 19.7274 images/s [10/21 12:51:12] ppdet.engine INFO: Epoch: [37] [ 20/261] learning_rate: 0.288835 loss_vfl: 0.802512 loss_bbox: 0.293827 loss_dfl: 0.190186 loss: 1.305708 eta: 1 day, 20:41:32 batch_cost: 2.6008 data_cost: 0.0013 ips: 21.5319 images/s [10/21 12:52:00] ppdet.engine INFO: Epoch: [37] [ 40/261] learning_rate: 0.288789 loss_vfl: 0.836214 loss_bbox: 0.308817 loss_dfl: 0.198953 loss: 1.347136 eta: 1 day, 20:40:33 batch_cost: 2.2636 data_cost: 0.0013 ips: 24.7397 images/s [10/21 12:52:50] ppdet.engine INFO: Epoch: [37] [ 60/261] learning_rate: 0.288744 loss_vfl: 0.822497 loss_bbox: 0.325084 loss_dfl: 0.197159 loss: 1.346100 eta: 1 day, 20:39:41 batch_cost: 2.3053 data_cost: 0.0013 ips: 24.2920 images/s [10/21 12:53:40] ppdet.engine INFO: Epoch: [37] [ 80/261] learning_rate: 0.288698 loss_vfl: 0.829454 loss_bbox: 0.311337 loss_dfl: 0.189882 loss: 1.336963 eta: 1 day, 20:38:59 batch_cost: 2.3800 data_cost: 0.0013 ips: 23.5291 images/s [10/21 12:54:28] ppdet.engine INFO: Epoch: [37] [100/261] learning_rate: 0.288652 loss_vfl: 0.813772 loss_bbox: 0.299735 loss_dfl: 0.190593 loss: 1.322115 eta: 1 day, 20:37:50 batch_cost: 2.1891 data_cost: 0.0013 ips: 25.5813 images/s [10/21 12:55:14] ppdet.engine INFO: Epoch: [37] [120/261] learning_rate: 0.288606 loss_vfl: 0.822176 loss_bbox: 0.289972 loss_dfl: 0.190709 loss: 1.305994 eta: 1 day, 20:36:38 batch_cost: 2.1662 data_cost: 0.0014 ips: 25.8512 images/s [10/21 12:56:03] ppdet.engine INFO: Epoch: [37] [140/261] learning_rate: 0.288560 loss_vfl: 0.818281 loss_bbox: 0.320542 loss_dfl: 0.201232 loss: 1.350394 eta: 1 day, 20:35:46 batch_cost: 2.3057 data_cost: 0.0013 ips: 24.2879 images/s [10/21 12:56:51] ppdet.engine INFO: Epoch: [37] [160/261] learning_rate: 0.288514 loss_vfl: 0.836846 loss_bbox: 0.302829 loss_dfl: 0.196691 loss: 1.328722 eta: 1 day, 20:34:51 batch_cost: 2.2806 data_cost: 0.0013 ips: 24.5553 images/s [10/21 12:57:39] ppdet.engine INFO: Epoch: [37] [180/261] learning_rate: 0.288468 loss_vfl: 0.834040 loss_bbox: 0.307112 loss_dfl: 0.195319 loss: 1.336232 eta: 1 day, 20:33:52 batch_cost: 2.2604 data_cost: 0.0013 ips: 24.7738 images/s [10/21 12:58:28] ppdet.engine INFO: Epoch: [37] [200/261] learning_rate: 0.288421 loss_vfl: 0.815626 loss_bbox: 0.305028 loss_dfl: 0.186295 loss: 1.293658 eta: 1 day, 20:33:06 batch_cost: 2.3508 data_cost: 0.0013 ips: 23.8215 images/s [10/21 12:59:18] ppdet.engine INFO: Epoch: [37] [220/261] learning_rate: 0.288375 loss_vfl: 0.836649 loss_bbox: 0.307783 loss_dfl: 0.198726 loss: 1.339563 eta: 1 day, 20:32:15 batch_cost: 2.3111 data_cost: 0.0013 ips: 24.2305 images/s [10/21 13:00:06] ppdet.engine INFO: Epoch: [37] [240/261] learning_rate: 0.288328 loss_vfl: 0.819611 loss_bbox: 0.315774 loss_dfl: 0.194198 loss: 1.326987 eta: 1 day, 20:31:18 batch_cost: 2.2718 data_cost: 0.0013 ips: 24.6504 images/s [10/21 13:00:50] ppdet.engine INFO: Epoch: [37] [260/261] learning_rate: 0.288282 loss_vfl: 0.834367 loss_bbox: 0.321482 loss_dfl: 0.203357 loss: 1.369469 eta: 1 day, 20:29:58 batch_cost: 2.0984 data_cost: 0.0013 ips: 26.6873 images/s [10/21 13:01:12] ppdet.engine INFO: Epoch: [38] [ 0/261] learning_rate: 0.288279 loss_vfl: 0.834367 loss_bbox: 0.321482 loss_dfl: 0.203357 loss: 1.369469 eta: 1 day, 20:31:32 batch_cost: 2.8181 data_cost: 0.3341 ips: 19.8717 images/s [10/21 13:02:07] ppdet.engine INFO: Epoch: [38] [ 20/261] learning_rate: 0.288233 loss_vfl: 0.817967 loss_bbox: 0.297663 loss_dfl: 0.191064 loss: 1.287169 eta: 1 day, 20:31:24 batch_cost: 2.6276 data_cost: 0.0013 ips: 21.3122 images/s [10/21 13:02:57] ppdet.engine INFO: Epoch: [38] [ 40/261] learning_rate: 0.288186 loss_vfl: 0.821261 loss_bbox: 0.301108 loss_dfl: 0.197454 loss: 1.318147 eta: 1 day, 20:30:45 batch_cost: 2.4037 data_cost: 0.0013 ips: 23.2974 images/s [10/21 13:03:45] ppdet.engine INFO: Epoch: [38] [ 60/261] learning_rate: 0.288139 loss_vfl: 0.819822 loss_bbox: 0.322396 loss_dfl: 0.199203 loss: 1.342519 eta: 1 day, 20:29:54 batch_cost: 2.3111 data_cost: 0.0013 ips: 24.2311 images/s [10/21 13:04:34] ppdet.engine INFO: Epoch: [38] [ 80/261] learning_rate: 0.288092 loss_vfl: 0.818265 loss_bbox: 0.285440 loss_dfl: 0.192266 loss: 1.295251 eta: 1 day, 20:29:01 batch_cost: 2.2987 data_cost: 0.0014 ips: 24.3615 images/s [10/21 13:05:22] ppdet.engine INFO: Epoch: [38] [100/261] learning_rate: 0.288045 loss_vfl: 0.812615 loss_bbox: 0.305158 loss_dfl: 0.195268 loss: 1.312281 eta: 1 day, 20:28:09 batch_cost: 2.3136 data_cost: 0.0073 ips: 24.2044 images/s [10/21 13:06:13] ppdet.engine INFO: Epoch: [38] [120/261] learning_rate: 0.287998 loss_vfl: 0.839445 loss_bbox: 0.315870 loss_dfl: 0.194076 loss: 1.354384 eta: 1 day, 20:27:33 batch_cost: 2.4186 data_cost: 0.0013 ips: 23.1535 images/s [10/21 13:06:59] ppdet.engine INFO: Epoch: [38] [140/261] learning_rate: 0.287951 loss_vfl: 0.833145 loss_bbox: 0.316680 loss_dfl: 0.204665 loss: 1.341668 eta: 1 day, 20:26:24 batch_cost: 2.1809 data_cost: 0.0014 ips: 25.6776 images/s [10/21 13:07:48] ppdet.engine INFO: Epoch: [38] [160/261] learning_rate: 0.287903 loss_vfl: 0.830756 loss_bbox: 0.300756 loss_dfl: 0.196667 loss: 1.316843 eta: 1 day, 20:25:32 batch_cost: 2.3078 data_cost: 0.0014 ips: 24.2652 images/s [10/21 13:08:37] ppdet.engine INFO: Epoch: [38] [180/261] learning_rate: 0.287856 loss_vfl: 0.837886 loss_bbox: 0.313479 loss_dfl: 0.201791 loss: 1.339206 eta: 1 day, 20:24:43 batch_cost: 2.3285 data_cost: 0.0013 ips: 24.0500 images/s [10/21 13:09:23] ppdet.engine INFO: Epoch: [38] [200/261] learning_rate: 0.287809 loss_vfl: 0.829282 loss_bbox: 0.303578 loss_dfl: 0.192688 loss: 1.339001 eta: 1 day, 20:23:22 batch_cost: 2.0938 data_cost: 0.0013 ips: 26.7458 images/s [10/21 13:10:13] ppdet.engine INFO: Epoch: [38] [220/261] learning_rate: 0.287761 loss_vfl: 0.825050 loss_bbox: 0.306180 loss_dfl: 0.195958 loss: 1.329216 eta: 1 day, 20:22:27 batch_cost: 2.2856 data_cost: 0.0013 ips: 24.5011 images/s [10/21 13:11:01] ppdet.engine INFO: Epoch: [38] [240/261] learning_rate: 0.287713 loss_vfl: 0.839018 loss_bbox: 0.306939 loss_dfl: 0.193886 loss: 1.339195 eta: 1 day, 20:21:24 batch_cost: 2.2245 data_cost: 0.0013 ips: 25.1742 images/s [10/21 13:11:47] ppdet.engine INFO: Epoch: [38] [260/261] learning_rate: 0.287666 loss_vfl: 0.823344 loss_bbox: 0.305822 loss_dfl: 0.198970 loss: 1.345963 eta: 1 day, 20:20:14 batch_cost: 2.1652 data_cost: 0.0015 ips: 25.8631 images/s [10/21 13:12:13] ppdet.engine INFO: Epoch: [39] [ 0/261] learning_rate: 0.287663 loss_vfl: 0.825736 loss_bbox: 0.305822 loss_dfl: 0.198970 loss: 1.345963 eta: 1 day, 20:22:10 batch_cost: 3.0410 data_cost: 0.5122 ips: 18.4152 images/s [10/21 13:13:07] ppdet.engine INFO: Epoch: [39] [ 20/261] learning_rate: 0.287615 loss_vfl: 0.807162 loss_bbox: 0.306417 loss_dfl: 0.192877 loss: 1.319074 eta: 1 day, 20:21:56 batch_cost: 2.5962 data_cost: 0.0013 ips: 21.5700 images/s [10/21 13:13:55] ppdet.engine INFO: Epoch: [39] [ 40/261] learning_rate: 0.287567 loss_vfl: 0.839750 loss_bbox: 0.307641 loss_dfl: 0.203952 loss: 1.354558 eta: 1 day, 20:20:54 batch_cost: 2.2298 data_cost: 0.0013 ips: 25.1140 images/s [10/21 13:14:46] ppdet.engine INFO: Epoch: [39] [ 60/261] learning_rate: 0.287519 loss_vfl: 0.834175 loss_bbox: 0.297054 loss_dfl: 0.185983 loss: 1.319798 eta: 1 day, 20:20:19 batch_cost: 2.4312 data_cost: 0.0013 ips: 23.0336 images/s [10/21 13:15:35] ppdet.engine INFO: Epoch: [39] [ 80/261] learning_rate: 0.287471 loss_vfl: 0.819059 loss_bbox: 0.301608 loss_dfl: 0.195471 loss: 1.320532 eta: 1 day, 20:19:27 batch_cost: 2.3106 data_cost: 0.0013 ips: 24.2358 images/s [10/21 13:16:24] ppdet.engine INFO: Epoch: [39] [100/261] learning_rate: 0.287423 loss_vfl: 0.817435 loss_bbox: 0.308064 loss_dfl: 0.201124 loss: 1.319792 eta: 1 day, 20:18:39 batch_cost: 2.3372 data_cost: 0.0014 ips: 23.9600 images/s [10/21 13:17:12] ppdet.engine INFO: Epoch: [39] [120/261] learning_rate: 0.287375 loss_vfl: 0.821881 loss_bbox: 0.287672 loss_dfl: 0.190851 loss: 1.299017 eta: 1 day, 20:17:46 batch_cost: 2.2940 data_cost: 0.0013 ips: 24.4116 images/s [10/21 13:18:01] ppdet.engine INFO: Epoch: [39] [140/261] learning_rate: 0.287326 loss_vfl: 0.816612 loss_bbox: 0.308677 loss_dfl: 0.194095 loss: 1.343554 eta: 1 day, 20:16:49 batch_cost: 2.2716 data_cost: 0.0014 ips: 24.6520 images/s [10/21 13:18:47] ppdet.engine INFO: Epoch: [39] [160/261] learning_rate: 0.287278 loss_vfl: 0.812109 loss_bbox: 0.294305 loss_dfl: 0.185987 loss: 1.283742 eta: 1 day, 20:15:39 batch_cost: 2.1656 data_cost: 0.0016 ips: 25.8591 images/s [10/21 13:19:36] ppdet.engine INFO: Epoch: [39] [180/261] learning_rate: 0.287229 loss_vfl: 0.815008 loss_bbox: 0.301836 loss_dfl: 0.195980 loss: 1.330658 eta: 1 day, 20:14:42 batch_cost: 2.2687 data_cost: 0.0014 ips: 24.6833 images/s [10/21 13:20:26] ppdet.engine INFO: Epoch: [39] [200/261] learning_rate: 0.287181 loss_vfl: 0.841265 loss_bbox: 0.293106 loss_dfl: 0.191205 loss: 1.326666 eta: 1 day, 20:13:54 batch_cost: 2.3409 data_cost: 0.0013 ips: 23.9220 images/s [10/21 13:21:17] ppdet.engine INFO: Epoch: [39] [220/261] learning_rate: 0.287132 loss_vfl: 0.821725 loss_bbox: 0.308357 loss_dfl: 0.194365 loss: 1.341495 eta: 1 day, 20:13:04 batch_cost: 2.3191 data_cost: 0.0013 ips: 24.1471 images/s [10/21 13:22:04] ppdet.engine INFO: Epoch: [39] [240/261] learning_rate: 0.287083 loss_vfl: 0.823576 loss_bbox: 0.292219 loss_dfl: 0.188930 loss: 1.308702 eta: 1 day, 20:12:00 batch_cost: 2.2148 data_cost: 0.0013 ips: 25.2850 images/s [10/21 13:22:47] ppdet.engine INFO: Epoch: [39] [260/261] learning_rate: 0.287034 loss_vfl: 0.821109 loss_bbox: 0.297901 loss_dfl: 0.188248 loss: 1.315830 eta: 1 day, 20:10:32 batch_cost: 2.0233 data_cost: 0.0013 ips: 27.6771 images/s [10/21 13:22:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 13:22:53] ppdet.engine INFO: Eval iter: 0 [10/21 13:23:22] ppdet.engine INFO: Eval iter: 100 [10/21 13:23:38] ppdet.engine INFO: Eval iter: 200 [10/21 13:23:54] ppdet.engine INFO: Eval iter: 300 [10/21 13:24:09] ppdet.engine INFO: Eval iter: 400 [10/21 13:24:25] ppdet.engine INFO: Eval iter: 500 [10/21 13:24:41] ppdet.engine INFO: Eval iter: 600 [10/21 13:24:56] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.90s) creating index... index created! [10/21 13:24:57] 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=72.68s). Accumulating evaluation results... DONE (t=12.63s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.329 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.493 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.344 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.128 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.353 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.282 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.446 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.477 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.208 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.705 [10/21 13:26:29] ppdet.engine INFO: Total sample number: 4952, averge FPS: 43.93158250002362 [10/21 13:26:29] ppdet.engine INFO: Best test bbox ap is 0.329. [10/21 13:26:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 13:26:34] ppdet.engine INFO: Epoch: [40] [ 0/261] learning_rate: 0.287032 loss_vfl: 0.821109 loss_bbox: 0.303918 loss_dfl: 0.191209 loss: 1.318070 eta: 1 day, 20:10:42 batch_cost: 2.1673 data_cost: 0.0014 ips: 25.8384 images/s [10/21 13:27:26] ppdet.engine INFO: Epoch: [40] [ 20/261] learning_rate: 0.286983 loss_vfl: 0.799707 loss_bbox: 0.310068 loss_dfl: 0.195653 loss: 1.315937 eta: 1 day, 20:10:13 batch_cost: 2.4773 data_cost: 0.0017 ips: 22.6050 images/s [10/21 13:28:15] ppdet.engine INFO: Epoch: [40] [ 40/261] learning_rate: 0.286934 loss_vfl: 0.830564 loss_bbox: 0.306833 loss_dfl: 0.201042 loss: 1.329731 eta: 1 day, 20:09:20 batch_cost: 2.2947 data_cost: 0.0013 ips: 24.4044 images/s [10/21 13:29:04] ppdet.engine INFO: Epoch: [40] [ 60/261] learning_rate: 0.286885 loss_vfl: 0.825829 loss_bbox: 0.297130 loss_dfl: 0.192608 loss: 1.305397 eta: 1 day, 20:08:31 batch_cost: 2.3278 data_cost: 0.0014 ips: 24.0575 images/s [10/21 13:29:54] ppdet.engine INFO: Epoch: [40] [ 80/261] learning_rate: 0.286835 loss_vfl: 0.821620 loss_bbox: 0.306632 loss_dfl: 0.190133 loss: 1.316852 eta: 1 day, 20:07:33 batch_cost: 2.2625 data_cost: 0.0013 ips: 24.7512 images/s [10/21 13:30:44] ppdet.engine INFO: Epoch: [40] [100/261] learning_rate: 0.286786 loss_vfl: 0.833880 loss_bbox: 0.303220 loss_dfl: 0.195835 loss: 1.326761 eta: 1 day, 20:06:46 batch_cost: 2.3432 data_cost: 0.0013 ips: 23.8988 images/s [10/21 13:31:35] ppdet.engine INFO: Epoch: [40] [120/261] learning_rate: 0.286736 loss_vfl: 0.816983 loss_bbox: 0.297456 loss_dfl: 0.195992 loss: 1.335254 eta: 1 day, 20:06:03 batch_cost: 2.3671 data_cost: 0.0013 ips: 23.6579 images/s [10/21 13:32:25] ppdet.engine INFO: Epoch: [40] [140/261] learning_rate: 0.286687 loss_vfl: 0.810782 loss_bbox: 0.301394 loss_dfl: 0.196744 loss: 1.306919 eta: 1 day, 20:05:22 batch_cost: 2.3955 data_cost: 0.0014 ips: 23.3772 images/s [10/21 13:33:15] ppdet.engine INFO: Epoch: [40] [160/261] learning_rate: 0.286637 loss_vfl: 0.827912 loss_bbox: 0.312497 loss_dfl: 0.197695 loss: 1.337748 eta: 1 day, 20:04:33 batch_cost: 2.3211 data_cost: 0.0013 ips: 24.1260 images/s [10/21 13:34:05] ppdet.engine INFO: Epoch: [40] [180/261] learning_rate: 0.286588 loss_vfl: 0.814531 loss_bbox: 0.293446 loss_dfl: 0.190823 loss: 1.291529 eta: 1 day, 20:03:49 batch_cost: 2.3672 data_cost: 0.0014 ips: 23.6564 images/s [10/21 13:34:59] ppdet.engine INFO: Epoch: [40] [200/261] learning_rate: 0.286538 loss_vfl: 0.819870 loss_bbox: 0.293995 loss_dfl: 0.192249 loss: 1.310829 eta: 1 day, 20:03:26 batch_cost: 2.5369 data_cost: 0.0013 ips: 22.0744 images/s [10/21 13:35:46] ppdet.engine INFO: Epoch: [40] [220/261] learning_rate: 0.286488 loss_vfl: 0.826783 loss_bbox: 0.300931 loss_dfl: 0.196393 loss: 1.329543 eta: 1 day, 20:02:21 batch_cost: 2.2012 data_cost: 0.0014 ips: 25.4408 images/s [10/21 13:36:36] ppdet.engine INFO: Epoch: [40] [240/261] learning_rate: 0.286438 loss_vfl: 0.823587 loss_bbox: 0.310720 loss_dfl: 0.201654 loss: 1.322934 eta: 1 day, 20:01:37 batch_cost: 2.3605 data_cost: 0.0013 ips: 23.7240 images/s [10/21 13:37:18] ppdet.engine INFO: Epoch: [40] [260/261] learning_rate: 0.286388 loss_vfl: 0.822384 loss_bbox: 0.315793 loss_dfl: 0.204185 loss: 1.354365 eta: 1 day, 20:00:08 batch_cost: 2.0152 data_cost: 0.0013 ips: 27.7885 images/s [10/21 13:37:44] ppdet.engine INFO: Epoch: [41] [ 0/261] learning_rate: 0.286385 loss_vfl: 0.822384 loss_bbox: 0.325699 loss_dfl: 0.206699 loss: 1.358170 eta: 1 day, 20:01:59 batch_cost: 2.9286 data_cost: 0.4921 ips: 19.1217 images/s [10/21 13:38:39] ppdet.engine INFO: Epoch: [41] [ 20/261] learning_rate: 0.286335 loss_vfl: 0.821494 loss_bbox: 0.294185 loss_dfl: 0.192778 loss: 1.323981 eta: 1 day, 20:01:43 batch_cost: 2.5895 data_cost: 0.0014 ips: 21.6261 images/s [10/21 13:39:25] ppdet.engine INFO: Epoch: [41] [ 40/261] learning_rate: 0.286285 loss_vfl: 0.825125 loss_bbox: 0.274408 loss_dfl: 0.187564 loss: 1.305670 eta: 1 day, 20:00:40 batch_cost: 2.2162 data_cost: 0.0013 ips: 25.2681 images/s [10/21 13:40:11] ppdet.engine INFO: Epoch: [41] [ 60/261] learning_rate: 0.286235 loss_vfl: 0.817877 loss_bbox: 0.318420 loss_dfl: 0.202824 loss: 1.338687 eta: 1 day, 19:59:37 batch_cost: 2.2173 data_cost: 0.0014 ips: 25.2562 images/s [10/21 13:41:00] ppdet.engine INFO: Epoch: [41] [ 80/261] learning_rate: 0.286184 loss_vfl: 0.820321 loss_bbox: 0.317513 loss_dfl: 0.195454 loss: 1.342304 eta: 1 day, 19:58:44 batch_cost: 2.3008 data_cost: 0.0013 ips: 24.3395 images/s [10/21 13:41:49] ppdet.engine INFO: Epoch: [41] [100/261] learning_rate: 0.286134 loss_vfl: 0.815884 loss_bbox: 0.307690 loss_dfl: 0.194427 loss: 1.328338 eta: 1 day, 19:58:02 batch_cost: 2.3786 data_cost: 0.0013 ips: 23.5432 images/s [10/21 13:42:41] ppdet.engine INFO: Epoch: [41] [120/261] learning_rate: 0.286083 loss_vfl: 0.823804 loss_bbox: 0.276475 loss_dfl: 0.190335 loss: 1.302048 eta: 1 day, 19:57:29 batch_cost: 2.4625 data_cost: 0.0012 ips: 22.7415 images/s [10/21 13:43:30] ppdet.engine INFO: Epoch: [41] [140/261] learning_rate: 0.286033 loss_vfl: 0.827193 loss_bbox: 0.324635 loss_dfl: 0.203968 loss: 1.335290 eta: 1 day, 19:56:39 batch_cost: 2.3184 data_cost: 0.0014 ips: 24.1542 images/s [10/21 13:44:17] ppdet.engine INFO: Epoch: [41] [160/261] learning_rate: 0.285982 loss_vfl: 0.822500 loss_bbox: 0.303976 loss_dfl: 0.199401 loss: 1.326228 eta: 1 day, 19:55:37 batch_cost: 2.2257 data_cost: 0.0013 ips: 25.1605 images/s [10/21 13:45:06] ppdet.engine INFO: Epoch: [41] [180/261] learning_rate: 0.285931 loss_vfl: 0.815872 loss_bbox: 0.293084 loss_dfl: 0.194824 loss: 1.324794 eta: 1 day, 19:54:37 batch_cost: 2.2362 data_cost: 0.0013 ips: 25.0423 images/s [10/21 13:45:51] ppdet.engine INFO: Epoch: [41] [200/261] learning_rate: 0.285880 loss_vfl: 0.807473 loss_bbox: 0.302462 loss_dfl: 0.193033 loss: 1.303601 eta: 1 day, 19:53:26 batch_cost: 2.1454 data_cost: 0.0013 ips: 26.1024 images/s [10/21 13:46:40] ppdet.engine INFO: Epoch: [41] [220/261] learning_rate: 0.285829 loss_vfl: 0.818092 loss_bbox: 0.313983 loss_dfl: 0.196704 loss: 1.310631 eta: 1 day, 19:52:41 batch_cost: 2.3665 data_cost: 0.0014 ips: 23.6639 images/s [10/21 13:47:29] ppdet.engine INFO: Epoch: [41] [240/261] learning_rate: 0.285778 loss_vfl: 0.815956 loss_bbox: 0.298004 loss_dfl: 0.193522 loss: 1.309509 eta: 1 day, 19:51:53 batch_cost: 2.3316 data_cost: 0.0013 ips: 24.0179 images/s [10/21 13:48:12] ppdet.engine INFO: Epoch: [41] [260/261] learning_rate: 0.285727 loss_vfl: 0.829965 loss_bbox: 0.305472 loss_dfl: 0.196435 loss: 1.337167 eta: 1 day, 19:50:24 batch_cost: 2.0019 data_cost: 0.0012 ips: 27.9740 images/s [10/21 13:48:36] ppdet.engine INFO: Epoch: [42] [ 0/261] learning_rate: 0.285724 loss_vfl: 0.829965 loss_bbox: 0.314039 loss_dfl: 0.198826 loss: 1.344366 eta: 1 day, 19:52:03 batch_cost: 2.7864 data_cost: 0.2279 ips: 20.0978 images/s [10/21 13:49:32] ppdet.engine INFO: Epoch: [42] [ 20/261] learning_rate: 0.285673 loss_vfl: 0.821848 loss_bbox: 0.298661 loss_dfl: 0.195660 loss: 1.314880 eta: 1 day, 19:51:55 batch_cost: 2.6664 data_cost: 0.0013 ips: 21.0024 images/s [10/21 13:50:20] ppdet.engine INFO: Epoch: [42] [ 40/261] learning_rate: 0.285621 loss_vfl: 0.817395 loss_bbox: 0.295394 loss_dfl: 0.193837 loss: 1.315318 eta: 1 day, 19:50:55 batch_cost: 2.2331 data_cost: 0.0013 ips: 25.0778 images/s [10/21 13:51:09] ppdet.engine INFO: Epoch: [42] [ 60/261] learning_rate: 0.285570 loss_vfl: 0.824793 loss_bbox: 0.312760 loss_dfl: 0.196288 loss: 1.348585 eta: 1 day, 19:50:05 batch_cost: 2.3259 data_cost: 0.0013 ips: 24.0765 images/s [10/21 13:51:56] ppdet.engine INFO: Epoch: [42] [ 80/261] learning_rate: 0.285518 loss_vfl: 0.820836 loss_bbox: 0.283667 loss_dfl: 0.191997 loss: 1.311120 eta: 1 day, 19:49:05 batch_cost: 2.2361 data_cost: 0.0013 ips: 25.0435 images/s [10/21 13:52:46] ppdet.engine INFO: Epoch: [42] [100/261] learning_rate: 0.285467 loss_vfl: 0.793820 loss_bbox: 0.296599 loss_dfl: 0.185920 loss: 1.297789 eta: 1 day, 19:48:23 batch_cost: 2.3877 data_cost: 0.0012 ips: 23.4538 images/s [10/21 13:53:34] ppdet.engine INFO: Epoch: [42] [120/261] learning_rate: 0.285415 loss_vfl: 0.820850 loss_bbox: 0.304020 loss_dfl: 0.193563 loss: 1.322009 eta: 1 day, 19:47:22 batch_cost: 2.2296 data_cost: 0.0013 ips: 25.1164 images/s [10/21 13:54:25] ppdet.engine INFO: Epoch: [42] [140/261] learning_rate: 0.285363 loss_vfl: 0.820727 loss_bbox: 0.281547 loss_dfl: 0.183744 loss: 1.294458 eta: 1 day, 19:46:44 batch_cost: 2.4150 data_cost: 0.0013 ips: 23.1885 images/s [10/21 13:55:11] ppdet.engine INFO: Epoch: [42] [160/261] learning_rate: 0.285311 loss_vfl: 0.821874 loss_bbox: 0.304712 loss_dfl: 0.194089 loss: 1.317250 eta: 1 day, 19:45:39 batch_cost: 2.1987 data_cost: 0.0013 ips: 25.4693 images/s [10/21 13:55:57] ppdet.engine INFO: Epoch: [42] [180/261] learning_rate: 0.285259 loss_vfl: 0.816986 loss_bbox: 0.297880 loss_dfl: 0.193802 loss: 1.314262 eta: 1 day, 19:44:30 batch_cost: 2.1637 data_cost: 0.0013 ips: 25.8811 images/s [10/21 13:56:48] ppdet.engine INFO: Epoch: [42] [200/261] learning_rate: 0.285207 loss_vfl: 0.812464 loss_bbox: 0.308867 loss_dfl: 0.200726 loss: 1.330593 eta: 1 day, 19:43:50 batch_cost: 2.3966 data_cost: 0.0013 ips: 23.3664 images/s [10/21 13:57:38] ppdet.engine INFO: Epoch: [42] [220/261] learning_rate: 0.285155 loss_vfl: 0.817436 loss_bbox: 0.295520 loss_dfl: 0.194300 loss: 1.322883 eta: 1 day, 19:43:03 batch_cost: 2.3454 data_cost: 0.0013 ips: 23.8768 images/s [10/21 13:58:28] ppdet.engine INFO: Epoch: [42] [240/261] learning_rate: 0.285103 loss_vfl: 0.820866 loss_bbox: 0.310917 loss_dfl: 0.196965 loss: 1.326583 eta: 1 day, 19:42:20 batch_cost: 2.3763 data_cost: 0.0013 ips: 23.5663 images/s [10/21 13:59:10] ppdet.engine INFO: Epoch: [42] [260/261] learning_rate: 0.285050 loss_vfl: 0.841312 loss_bbox: 0.315290 loss_dfl: 0.199929 loss: 1.331788 eta: 1 day, 19:40:47 batch_cost: 1.9564 data_cost: 0.0012 ips: 28.6236 images/s [10/21 13:59:33] ppdet.engine INFO: Epoch: [43] [ 0/261] learning_rate: 0.285048 loss_vfl: 0.837453 loss_bbox: 0.315290 loss_dfl: 0.199929 loss: 1.331788 eta: 1 day, 19:42:20 batch_cost: 2.7810 data_cost: 0.4860 ips: 20.1369 images/s [10/21 14:00:30] ppdet.engine INFO: Epoch: [43] [ 20/261] learning_rate: 0.284995 loss_vfl: 0.806889 loss_bbox: 0.295073 loss_dfl: 0.188811 loss: 1.285943 eta: 1 day, 19:42:18 batch_cost: 2.7201 data_cost: 0.0013 ips: 20.5872 images/s [10/21 14:01:18] ppdet.engine INFO: Epoch: [43] [ 40/261] learning_rate: 0.284943 loss_vfl: 0.822299 loss_bbox: 0.284981 loss_dfl: 0.188232 loss: 1.298643 eta: 1 day, 19:41:22 batch_cost: 2.2722 data_cost: 0.0013 ips: 24.6462 images/s [10/21 14:02:05] ppdet.engine INFO: Epoch: [43] [ 60/261] learning_rate: 0.284890 loss_vfl: 0.800719 loss_bbox: 0.321076 loss_dfl: 0.194306 loss: 1.314580 eta: 1 day, 19:40:19 batch_cost: 2.2081 data_cost: 0.0014 ips: 25.3616 images/s [10/21 14:02:52] ppdet.engine INFO: Epoch: [43] [ 80/261] learning_rate: 0.284838 loss_vfl: 0.820137 loss_bbox: 0.328218 loss_dfl: 0.201599 loss: 1.340844 eta: 1 day, 19:39:16 batch_cost: 2.2077 data_cost: 0.0013 ips: 25.3662 images/s [10/21 14:03:40] ppdet.engine INFO: Epoch: [43] [100/261] learning_rate: 0.284785 loss_vfl: 0.805656 loss_bbox: 0.315412 loss_dfl: 0.195684 loss: 1.314990 eta: 1 day, 19:38:17 batch_cost: 2.2431 data_cost: 0.0013 ips: 24.9652 images/s [10/21 14:04:29] ppdet.engine INFO: Epoch: [43] [120/261] learning_rate: 0.284732 loss_vfl: 0.800836 loss_bbox: 0.298225 loss_dfl: 0.189843 loss: 1.290439 eta: 1 day, 19:37:25 batch_cost: 2.3042 data_cost: 0.0014 ips: 24.3037 images/s [10/21 14:05:18] ppdet.engine INFO: Epoch: [43] [140/261] learning_rate: 0.284679 loss_vfl: 0.799839 loss_bbox: 0.306710 loss_dfl: 0.204188 loss: 1.289991 eta: 1 day, 19:36:26 batch_cost: 2.2447 data_cost: 0.0013 ips: 24.9482 images/s [10/21 14:06:08] ppdet.engine INFO: Epoch: [43] [160/261] learning_rate: 0.284626 loss_vfl: 0.830828 loss_bbox: 0.304001 loss_dfl: 0.192038 loss: 1.325180 eta: 1 day, 19:35:47 batch_cost: 2.4066 data_cost: 0.0013 ips: 23.2692 images/s [10/21 14:06:57] ppdet.engine INFO: Epoch: [43] [180/261] learning_rate: 0.284573 loss_vfl: 0.824340 loss_bbox: 0.304897 loss_dfl: 0.192061 loss: 1.313684 eta: 1 day, 19:34:49 batch_cost: 2.2530 data_cost: 0.0013 ips: 24.8558 images/s [10/21 14:07:46] ppdet.engine INFO: Epoch: [43] [200/261] learning_rate: 0.284520 loss_vfl: 0.824784 loss_bbox: 0.291545 loss_dfl: 0.193160 loss: 1.314431 eta: 1 day, 19:33:56 batch_cost: 2.2954 data_cost: 0.0014 ips: 24.3968 images/s [10/21 14:08:34] ppdet.engine INFO: Epoch: [43] [220/261] learning_rate: 0.284466 loss_vfl: 0.818192 loss_bbox: 0.324175 loss_dfl: 0.194183 loss: 1.326223 eta: 1 day, 19:32:59 batch_cost: 2.2561 data_cost: 0.0013 ips: 24.8220 images/s [10/21 14:09:21] ppdet.engine INFO: Epoch: [43] [240/261] learning_rate: 0.284413 loss_vfl: 0.810812 loss_bbox: 0.318100 loss_dfl: 0.195434 loss: 1.322304 eta: 1 day, 19:32:04 batch_cost: 2.2791 data_cost: 0.0013 ips: 24.5710 images/s [10/21 14:10:02] ppdet.engine INFO: Epoch: [43] [260/261] learning_rate: 0.284359 loss_vfl: 0.821984 loss_bbox: 0.332926 loss_dfl: 0.209697 loss: 1.359669 eta: 1 day, 19:30:29 batch_cost: 1.9323 data_cost: 0.0012 ips: 28.9805 images/s [10/21 14:10:22] ppdet.engine INFO: Epoch: [44] [ 0/261] learning_rate: 0.284357 loss_vfl: 0.821984 loss_bbox: 0.332926 loss_dfl: 0.207179 loss: 1.359669 eta: 1 day, 19:31:41 batch_cost: 2.5943 data_cost: 0.2262 ips: 21.5860 images/s [10/21 14:11:20] ppdet.engine INFO: Epoch: [44] [ 20/261] learning_rate: 0.284303 loss_vfl: 0.820446 loss_bbox: 0.290179 loss_dfl: 0.197098 loss: 1.315663 eta: 1 day, 19:31:34 batch_cost: 2.6918 data_cost: 0.0014 ips: 20.8037 images/s [10/21 14:12:08] ppdet.engine INFO: Epoch: [44] [ 40/261] learning_rate: 0.284250 loss_vfl: 0.824156 loss_bbox: 0.276490 loss_dfl: 0.183452 loss: 1.302825 eta: 1 day, 19:30:39 batch_cost: 2.2738 data_cost: 0.0013 ips: 24.6288 images/s [10/21 14:12:59] ppdet.engine INFO: Epoch: [44] [ 60/261] learning_rate: 0.284196 loss_vfl: 0.814511 loss_bbox: 0.295727 loss_dfl: 0.188849 loss: 1.291661 eta: 1 day, 19:29:56 batch_cost: 2.3829 data_cost: 0.0013 ips: 23.5004 images/s [10/21 14:13:49] ppdet.engine INFO: Epoch: [44] [ 80/261] learning_rate: 0.284142 loss_vfl: 0.809053 loss_bbox: 0.299736 loss_dfl: 0.195591 loss: 1.312026 eta: 1 day, 19:29:02 batch_cost: 2.2850 data_cost: 0.0013 ips: 24.5075 images/s [10/21 14:14:40] ppdet.engine INFO: Epoch: [44] [100/261] learning_rate: 0.284088 loss_vfl: 0.798725 loss_bbox: 0.321328 loss_dfl: 0.201052 loss: 1.308070 eta: 1 day, 19:28:26 batch_cost: 2.4408 data_cost: 0.0014 ips: 22.9436 images/s [10/21 14:15:27] ppdet.engine INFO: Epoch: [44] [120/261] learning_rate: 0.284034 loss_vfl: 0.792609 loss_bbox: 0.315831 loss_dfl: 0.198700 loss: 1.286357 eta: 1 day, 19:27:21 batch_cost: 2.1852 data_cost: 0.0013 ips: 25.6267 images/s [10/21 14:16:14] ppdet.engine INFO: Epoch: [44] [140/261] learning_rate: 0.283980 loss_vfl: 0.813844 loss_bbox: 0.271547 loss_dfl: 0.181906 loss: 1.272292 eta: 1 day, 19:26:18 batch_cost: 2.2105 data_cost: 0.0013 ips: 25.3335 images/s [10/21 14:17:00] ppdet.engine INFO: Epoch: [44] [160/261] learning_rate: 0.283926 loss_vfl: 0.807137 loss_bbox: 0.272670 loss_dfl: 0.184724 loss: 1.312491 eta: 1 day, 19:25:13 batch_cost: 2.1810 data_cost: 0.0013 ips: 25.6765 images/s [10/21 14:17:51] ppdet.engine INFO: Epoch: [44] [180/261] learning_rate: 0.283872 loss_vfl: 0.824898 loss_bbox: 0.290282 loss_dfl: 0.194185 loss: 1.303343 eta: 1 day, 19:24:32 batch_cost: 2.3990 data_cost: 0.0013 ips: 23.3428 images/s [10/21 14:18:41] ppdet.engine INFO: Epoch: [44] [200/261] learning_rate: 0.283817 loss_vfl: 0.811565 loss_bbox: 0.298552 loss_dfl: 0.194029 loss: 1.300150 eta: 1 day, 19:23:46 batch_cost: 2.3497 data_cost: 0.0013 ips: 23.8332 images/s [10/21 14:19:30] ppdet.engine INFO: Epoch: [44] [220/261] learning_rate: 0.283763 loss_vfl: 0.811426 loss_bbox: 0.306258 loss_dfl: 0.192793 loss: 1.305842 eta: 1 day, 19:23:00 batch_cost: 2.3580 data_cost: 0.0013 ips: 23.7491 images/s [10/21 14:20:19] ppdet.engine INFO: Epoch: [44] [240/261] learning_rate: 0.283708 loss_vfl: 0.808304 loss_bbox: 0.302536 loss_dfl: 0.198207 loss: 1.323220 eta: 1 day, 19:22:10 batch_cost: 2.3193 data_cost: 0.0013 ips: 24.1456 images/s [10/21 14:21:01] ppdet.engine INFO: Epoch: [44] [260/261] learning_rate: 0.283654 loss_vfl: 0.814287 loss_bbox: 0.301513 loss_dfl: 0.191362 loss: 1.312617 eta: 1 day, 19:20:44 batch_cost: 1.9966 data_cost: 0.0013 ips: 28.0472 images/s [10/21 14:21:23] ppdet.engine INFO: Epoch: [45] [ 0/261] learning_rate: 0.283651 loss_vfl: 0.814050 loss_bbox: 0.305908 loss_dfl: 0.191427 loss: 1.319332 eta: 1 day, 19:22:00 batch_cost: 2.6614 data_cost: 0.2333 ips: 21.0417 images/s [10/21 14:22:18] ppdet.engine INFO: Epoch: [45] [ 20/261] learning_rate: 0.283596 loss_vfl: 0.807704 loss_bbox: 0.309338 loss_dfl: 0.201225 loss: 1.317752 eta: 1 day, 19:21:42 batch_cost: 2.6068 data_cost: 0.0013 ips: 21.4825 images/s [10/21 14:23:07] ppdet.engine INFO: Epoch: [45] [ 40/261] learning_rate: 0.283542 loss_vfl: 0.818900 loss_bbox: 0.301585 loss_dfl: 0.193015 loss: 1.310419 eta: 1 day, 19:20:47 batch_cost: 2.2751 data_cost: 0.0013 ips: 24.6140 images/s [10/21 14:23:57] ppdet.engine INFO: Epoch: [45] [ 60/261] learning_rate: 0.283487 loss_vfl: 0.805496 loss_bbox: 0.295844 loss_dfl: 0.195778 loss: 1.306476 eta: 1 day, 19:20:01 batch_cost: 2.3497 data_cost: 0.0013 ips: 23.8330 images/s [10/21 14:24:42] ppdet.engine INFO: Epoch: [45] [ 80/261] learning_rate: 0.283432 loss_vfl: 0.818680 loss_bbox: 0.271591 loss_dfl: 0.188929 loss: 1.280314 eta: 1 day, 19:18:52 batch_cost: 2.1509 data_cost: 0.0014 ips: 26.0362 images/s [10/21 14:25:31] ppdet.engine INFO: Epoch: [45] [100/261] learning_rate: 0.283377 loss_vfl: 0.812123 loss_bbox: 0.290394 loss_dfl: 0.185915 loss: 1.308417 eta: 1 day, 19:18:02 batch_cost: 2.3183 data_cost: 0.0013 ips: 24.1561 images/s [10/21 14:26:21] ppdet.engine INFO: Epoch: [45] [120/261] learning_rate: 0.283322 loss_vfl: 0.809056 loss_bbox: 0.300602 loss_dfl: 0.196362 loss: 1.325071 eta: 1 day, 19:17:16 batch_cost: 2.3585 data_cost: 0.0013 ips: 23.7444 images/s [10/21 14:27:11] ppdet.engine INFO: Epoch: [45] [140/261] learning_rate: 0.283266 loss_vfl: 0.793670 loss_bbox: 0.318702 loss_dfl: 0.200946 loss: 1.307033 eta: 1 day, 19:16:30 batch_cost: 2.3525 data_cost: 0.0013 ips: 23.8049 images/s [10/21 14:27:59] ppdet.engine INFO: Epoch: [45] [160/261] learning_rate: 0.283211 loss_vfl: 0.814646 loss_bbox: 0.289771 loss_dfl: 0.188174 loss: 1.273238 eta: 1 day, 19:15:32 batch_cost: 2.2425 data_cost: 0.0013 ips: 24.9719 images/s [10/21 14:28:48] ppdet.engine INFO: Epoch: [45] [180/261] learning_rate: 0.283156 loss_vfl: 0.821756 loss_bbox: 0.295173 loss_dfl: 0.191290 loss: 1.318939 eta: 1 day, 19:14:35 batch_cost: 2.2557 data_cost: 0.0013 ips: 24.8265 images/s [10/21 14:29:37] ppdet.engine INFO: Epoch: [45] [200/261] learning_rate: 0.283100 loss_vfl: 0.825713 loss_bbox: 0.289935 loss_dfl: 0.195159 loss: 1.296616 eta: 1 day, 19:13:47 batch_cost: 2.3338 data_cost: 0.0014 ips: 23.9948 images/s [10/21 14:30:25] ppdet.engine INFO: Epoch: [45] [220/261] learning_rate: 0.283045 loss_vfl: 0.827388 loss_bbox: 0.309799 loss_dfl: 0.204785 loss: 1.345085 eta: 1 day, 19:12:52 batch_cost: 2.2756 data_cost: 0.0013 ips: 24.6087 images/s [10/21 14:31:12] ppdet.engine INFO: Epoch: [45] [240/261] learning_rate: 0.282989 loss_vfl: 0.816967 loss_bbox: 0.294763 loss_dfl: 0.194260 loss: 1.310419 eta: 1 day, 19:11:55 batch_cost: 2.2506 data_cost: 0.0015 ips: 24.8823 images/s [10/21 14:31:57] ppdet.engine INFO: Epoch: [45] [260/261] learning_rate: 0.282933 loss_vfl: 0.828129 loss_bbox: 0.309037 loss_dfl: 0.199049 loss: 1.322095 eta: 1 day, 19:10:46 batch_cost: 2.1503 data_cost: 0.0089 ips: 26.0426 images/s [10/21 14:32:20] ppdet.engine INFO: Epoch: [46] [ 0/261] learning_rate: 0.282931 loss_vfl: 0.818466 loss_bbox: 0.309037 loss_dfl: 0.199858 loss: 1.321919 eta: 1 day, 19:12:10 batch_cost: 2.8715 data_cost: 0.5090 ips: 19.5021 images/s [10/21 14:33:12] ppdet.engine INFO: Epoch: [46] [ 20/261] learning_rate: 0.282875 loss_vfl: 0.814584 loss_bbox: 0.294755 loss_dfl: 0.189219 loss: 1.266884 eta: 1 day, 19:11:37 batch_cost: 2.4693 data_cost: 0.0014 ips: 22.6787 images/s [10/21 14:34:03] ppdet.engine INFO: Epoch: [46] [ 40/261] learning_rate: 0.282819 loss_vfl: 0.815294 loss_bbox: 0.301184 loss_dfl: 0.191732 loss: 1.312059 eta: 1 day, 19:10:54 batch_cost: 2.3808 data_cost: 0.0013 ips: 23.5217 images/s [10/21 14:34:51] ppdet.engine INFO: Epoch: [46] [ 60/261] learning_rate: 0.282763 loss_vfl: 0.818080 loss_bbox: 0.316205 loss_dfl: 0.198791 loss: 1.326031 eta: 1 day, 19:09:57 batch_cost: 2.2545 data_cost: 0.0013 ips: 24.8397 images/s [10/21 14:35:42] ppdet.engine INFO: Epoch: [46] [ 80/261] learning_rate: 0.282707 loss_vfl: 0.832040 loss_bbox: 0.276298 loss_dfl: 0.186909 loss: 1.289462 eta: 1 day, 19:09:03 batch_cost: 2.2844 data_cost: 0.0013 ips: 24.5146 images/s [10/21 14:36:30] ppdet.engine INFO: Epoch: [46] [100/261] learning_rate: 0.282651 loss_vfl: 0.819253 loss_bbox: 0.307237 loss_dfl: 0.200990 loss: 1.348153 eta: 1 day, 19:08:10 batch_cost: 2.2918 data_cost: 0.0012 ips: 24.4353 images/s [10/21 14:37:18] ppdet.engine INFO: Epoch: [46] [120/261] learning_rate: 0.282594 loss_vfl: 0.809878 loss_bbox: 0.315996 loss_dfl: 0.194443 loss: 1.345750 eta: 1 day, 19:07:17 batch_cost: 2.2873 data_cost: 0.0013 ips: 24.4835 images/s [10/21 14:38:07] ppdet.engine INFO: Epoch: [46] [140/261] learning_rate: 0.282538 loss_vfl: 0.805046 loss_bbox: 0.293747 loss_dfl: 0.188233 loss: 1.318529 eta: 1 day, 19:06:27 batch_cost: 2.3158 data_cost: 0.0014 ips: 24.1820 images/s [10/21 14:38:56] ppdet.engine INFO: Epoch: [46] [160/261] learning_rate: 0.282482 loss_vfl: 0.801195 loss_bbox: 0.293089 loss_dfl: 0.189296 loss: 1.285471 eta: 1 day, 19:05:31 batch_cost: 2.2607 data_cost: 0.0014 ips: 24.7706 images/s [10/21 14:39:43] ppdet.engine INFO: Epoch: [46] [180/261] learning_rate: 0.282425 loss_vfl: 0.809839 loss_bbox: 0.331594 loss_dfl: 0.205177 loss: 1.343288 eta: 1 day, 19:04:31 batch_cost: 2.2236 data_cost: 0.0014 ips: 25.1848 images/s [10/21 14:40:31] ppdet.engine INFO: Epoch: [46] [200/261] learning_rate: 0.282369 loss_vfl: 0.808730 loss_bbox: 0.307267 loss_dfl: 0.197684 loss: 1.324713 eta: 1 day, 19:03:36 batch_cost: 2.2758 data_cost: 0.0014 ips: 24.6072 images/s [10/21 14:41:17] ppdet.engine INFO: Epoch: [46] [220/261] learning_rate: 0.282312 loss_vfl: 0.818706 loss_bbox: 0.293088 loss_dfl: 0.185978 loss: 1.286695 eta: 1 day, 19:02:29 batch_cost: 2.1603 data_cost: 0.0013 ips: 25.9219 images/s [10/21 14:42:04] ppdet.engine INFO: Epoch: [46] [240/261] learning_rate: 0.282255 loss_vfl: 0.828673 loss_bbox: 0.308602 loss_dfl: 0.198705 loss: 1.332553 eta: 1 day, 19:01:30 batch_cost: 2.2306 data_cost: 0.0014 ips: 25.1054 images/s [10/21 14:42:45] ppdet.engine INFO: Epoch: [46] [260/261] learning_rate: 0.282198 loss_vfl: 0.816462 loss_bbox: 0.296272 loss_dfl: 0.190873 loss: 1.316079 eta: 1 day, 18:59:59 batch_cost: 1.9323 data_cost: 0.0012 ips: 28.9806 images/s [10/21 14:43:11] ppdet.engine INFO: Epoch: [47] [ 0/261] learning_rate: 0.282196 loss_vfl: 0.816462 loss_bbox: 0.296272 loss_dfl: 0.190873 loss: 1.316079 eta: 1 day, 19:01:36 batch_cost: 2.8741 data_cost: 0.4061 ips: 19.4846 images/s [10/21 14:44:00] ppdet.engine INFO: Epoch: [47] [ 20/261] learning_rate: 0.282139 loss_vfl: 0.812954 loss_bbox: 0.294390 loss_dfl: 0.197421 loss: 1.313242 eta: 1 day, 19:00:47 batch_cost: 2.3222 data_cost: 0.0013 ips: 24.1154 images/s [10/21 14:44:49] ppdet.engine INFO: Epoch: [47] [ 40/261] learning_rate: 0.282082 loss_vfl: 0.800483 loss_bbox: 0.328600 loss_dfl: 0.200830 loss: 1.343599 eta: 1 day, 19:00:00 batch_cost: 2.3435 data_cost: 0.0013 ips: 23.8957 images/s [10/21 14:45:37] ppdet.engine INFO: Epoch: [47] [ 60/261] learning_rate: 0.282024 loss_vfl: 0.799538 loss_bbox: 0.298561 loss_dfl: 0.193336 loss: 1.288844 eta: 1 day, 18:59:04 batch_cost: 2.2685 data_cost: 0.0014 ips: 24.6856 images/s [10/21 14:46:26] ppdet.engine INFO: Epoch: [47] [ 80/261] learning_rate: 0.281967 loss_vfl: 0.809009 loss_bbox: 0.280102 loss_dfl: 0.183416 loss: 1.299452 eta: 1 day, 18:58:12 batch_cost: 2.2959 data_cost: 0.0014 ips: 24.3916 images/s [10/21 14:47:16] ppdet.engine INFO: Epoch: [47] [100/261] learning_rate: 0.281910 loss_vfl: 0.810874 loss_bbox: 0.316205 loss_dfl: 0.199664 loss: 1.343476 eta: 1 day, 18:57:25 batch_cost: 2.3438 data_cost: 0.0013 ips: 23.8930 images/s [10/21 14:48:03] ppdet.engine INFO: Epoch: [47] [120/261] learning_rate: 0.281853 loss_vfl: 0.834721 loss_bbox: 0.295422 loss_dfl: 0.192694 loss: 1.321276 eta: 1 day, 18:56:24 batch_cost: 2.2150 data_cost: 0.0014 ips: 25.2826 images/s [10/21 14:48:50] ppdet.engine INFO: Epoch: [47] [140/261] learning_rate: 0.281795 loss_vfl: 0.812482 loss_bbox: 0.321273 loss_dfl: 0.202319 loss: 1.325692 eta: 1 day, 18:55:21 batch_cost: 2.1937 data_cost: 0.0014 ips: 25.5282 images/s [10/21 14:49:38] ppdet.engine INFO: Epoch: [47] [160/261] learning_rate: 0.281738 loss_vfl: 0.801257 loss_bbox: 0.290072 loss_dfl: 0.194086 loss: 1.283941 eta: 1 day, 18:54:23 batch_cost: 2.2343 data_cost: 0.0014 ips: 25.0637 images/s [10/21 14:50:29] ppdet.engine INFO: Epoch: [47] [180/261] learning_rate: 0.281680 loss_vfl: 0.823114 loss_bbox: 0.286489 loss_dfl: 0.188877 loss: 1.304082 eta: 1 day, 18:53:34 batch_cost: 2.3325 data_cost: 0.0013 ips: 24.0086 images/s [10/21 14:51:17] ppdet.engine INFO: Epoch: [47] [200/261] learning_rate: 0.281622 loss_vfl: 0.821995 loss_bbox: 0.288378 loss_dfl: 0.188377 loss: 1.315984 eta: 1 day, 18:52:40 batch_cost: 2.2738 data_cost: 0.0013 ips: 24.6286 images/s [10/21 14:52:06] ppdet.engine INFO: Epoch: [47] [220/261] learning_rate: 0.281565 loss_vfl: 0.809783 loss_bbox: 0.303058 loss_dfl: 0.189679 loss: 1.286472 eta: 1 day, 18:51:46 batch_cost: 2.2738 data_cost: 0.0067 ips: 24.6288 images/s [10/21 14:52:55] ppdet.engine INFO: Epoch: [47] [240/261] learning_rate: 0.281507 loss_vfl: 0.811359 loss_bbox: 0.300550 loss_dfl: 0.196645 loss: 1.306375 eta: 1 day, 18:50:52 batch_cost: 2.2789 data_cost: 0.0013 ips: 24.5729 images/s [10/21 14:53:39] ppdet.engine INFO: Epoch: [47] [260/261] learning_rate: 0.281449 loss_vfl: 0.814848 loss_bbox: 0.307762 loss_dfl: 0.188943 loss: 1.312506 eta: 1 day, 18:49:37 batch_cost: 2.0800 data_cost: 0.0012 ips: 26.9235 images/s [10/21 14:54:02] ppdet.engine INFO: Epoch: [48] [ 0/261] learning_rate: 0.281446 loss_vfl: 0.814848 loss_bbox: 0.307762 loss_dfl: 0.188943 loss: 1.310638 eta: 1 day, 18:50:54 batch_cost: 2.8064 data_cost: 0.2645 ips: 19.9547 images/s [10/21 14:54:54] ppdet.engine INFO: Epoch: [48] [ 20/261] learning_rate: 0.281388 loss_vfl: 0.814971 loss_bbox: 0.309033 loss_dfl: 0.196562 loss: 1.308733 eta: 1 day, 18:50:15 batch_cost: 2.4275 data_cost: 0.0014 ips: 23.0691 images/s [10/21 14:55:42] ppdet.engine INFO: Epoch: [48] [ 40/261] learning_rate: 0.281330 loss_vfl: 0.832684 loss_bbox: 0.284547 loss_dfl: 0.187796 loss: 1.313241 eta: 1 day, 18:49:17 batch_cost: 2.2323 data_cost: 0.0013 ips: 25.0859 images/s [10/21 14:56:31] ppdet.engine INFO: Epoch: [48] [ 60/261] learning_rate: 0.281272 loss_vfl: 0.803451 loss_bbox: 0.302873 loss_dfl: 0.193369 loss: 1.299158 eta: 1 day, 18:48:30 batch_cost: 2.3433 data_cost: 0.0014 ips: 23.8984 images/s [10/21 14:57:20] ppdet.engine INFO: Epoch: [48] [ 80/261] learning_rate: 0.281213 loss_vfl: 0.799441 loss_bbox: 0.286850 loss_dfl: 0.184315 loss: 1.285047 eta: 1 day, 18:47:39 batch_cost: 2.3123 data_cost: 0.0013 ips: 24.2186 images/s [10/21 14:58:09] ppdet.engine INFO: Epoch: [48] [100/261] learning_rate: 0.281155 loss_vfl: 0.803672 loss_bbox: 0.300794 loss_dfl: 0.192241 loss: 1.303111 eta: 1 day, 18:46:51 batch_cost: 2.3356 data_cost: 0.0015 ips: 23.9767 images/s [10/21 14:59:00] ppdet.engine INFO: Epoch: [48] [120/261] learning_rate: 0.281097 loss_vfl: 0.795798 loss_bbox: 0.297657 loss_dfl: 0.192332 loss: 1.295427 eta: 1 day, 18:46:11 batch_cost: 2.4053 data_cost: 0.0013 ips: 23.2821 images/s [10/21 14:59:51] ppdet.engine INFO: Epoch: [48] [140/261] learning_rate: 0.281038 loss_vfl: 0.807228 loss_bbox: 0.310606 loss_dfl: 0.203605 loss: 1.339446 eta: 1 day, 18:45:22 batch_cost: 2.3278 data_cost: 0.0105 ips: 24.0566 images/s [10/21 15:00:40] ppdet.engine INFO: Epoch: [48] [160/261] learning_rate: 0.280979 loss_vfl: 0.817945 loss_bbox: 0.315615 loss_dfl: 0.198265 loss: 1.328841 eta: 1 day, 18:44:30 batch_cost: 2.2959 data_cost: 0.0014 ips: 24.3912 images/s [10/21 15:01:30] ppdet.engine INFO: Epoch: [48] [180/261] learning_rate: 0.280921 loss_vfl: 0.811521 loss_bbox: 0.295951 loss_dfl: 0.197302 loss: 1.308024 eta: 1 day, 18:43:45 batch_cost: 2.3599 data_cost: 0.0086 ips: 23.7301 images/s [10/21 15:02:22] ppdet.engine INFO: Epoch: [48] [200/261] learning_rate: 0.280862 loss_vfl: 0.787654 loss_bbox: 0.296440 loss_dfl: 0.192529 loss: 1.293247 eta: 1 day, 18:43:07 batch_cost: 2.4381 data_cost: 0.0013 ips: 22.9683 images/s [10/21 15:03:12] ppdet.engine INFO: Epoch: [48] [220/261] learning_rate: 0.280803 loss_vfl: 0.819424 loss_bbox: 0.305916 loss_dfl: 0.197251 loss: 1.333999 eta: 1 day, 18:42:22 batch_cost: 2.3605 data_cost: 0.0012 ips: 23.7235 images/s [10/21 15:04:00] ppdet.engine INFO: Epoch: [48] [240/261] learning_rate: 0.280744 loss_vfl: 0.788353 loss_bbox: 0.296978 loss_dfl: 0.192663 loss: 1.294423 eta: 1 day, 18:41:21 batch_cost: 2.2058 data_cost: 0.0083 ips: 25.3874 images/s [10/21 15:04:43] ppdet.engine INFO: Epoch: [48] [260/261] learning_rate: 0.280685 loss_vfl: 0.810652 loss_bbox: 0.315306 loss_dfl: 0.202065 loss: 1.331094 eta: 1 day, 18:40:09 batch_cost: 2.1009 data_cost: 0.0013 ips: 26.6547 images/s [10/21 15:05:05] ppdet.engine INFO: Epoch: [49] [ 0/261] learning_rate: 0.280682 loss_vfl: 0.810652 loss_bbox: 0.317035 loss_dfl: 0.205309 loss: 1.331094 eta: 1 day, 18:41:17 batch_cost: 2.7422 data_cost: 0.2943 ips: 20.4216 images/s [10/21 15:06:02] ppdet.engine INFO: Epoch: [49] [ 20/261] learning_rate: 0.280623 loss_vfl: 0.807033 loss_bbox: 0.296838 loss_dfl: 0.190443 loss: 1.288455 eta: 1 day, 18:41:09 batch_cost: 2.7306 data_cost: 0.0013 ips: 20.5086 images/s [10/21 15:06:52] ppdet.engine INFO: Epoch: [49] [ 40/261] learning_rate: 0.280564 loss_vfl: 0.805336 loss_bbox: 0.274442 loss_dfl: 0.183690 loss: 1.277081 eta: 1 day, 18:40:19 batch_cost: 2.3121 data_cost: 0.0013 ips: 24.2207 images/s [10/21 15:07:40] ppdet.engine INFO: Epoch: [49] [ 60/261] learning_rate: 0.280504 loss_vfl: 0.819178 loss_bbox: 0.295425 loss_dfl: 0.187636 loss: 1.302536 eta: 1 day, 18:39:24 batch_cost: 2.2715 data_cost: 0.0014 ips: 24.6536 images/s [10/21 15:08:29] ppdet.engine INFO: Epoch: [49] [ 80/261] learning_rate: 0.280445 loss_vfl: 0.802032 loss_bbox: 0.279334 loss_dfl: 0.194274 loss: 1.274371 eta: 1 day, 18:38:34 batch_cost: 2.3125 data_cost: 0.0013 ips: 24.2160 images/s [10/21 15:09:15] ppdet.engine INFO: Epoch: [49] [100/261] learning_rate: 0.280386 loss_vfl: 0.822169 loss_bbox: 0.287069 loss_dfl: 0.192095 loss: 1.310573 eta: 1 day, 18:37:30 batch_cost: 2.1776 data_cost: 0.0013 ips: 25.7170 images/s [10/21 15:10:03] ppdet.engine INFO: Epoch: [49] [120/261] learning_rate: 0.280326 loss_vfl: 0.811700 loss_bbox: 0.291931 loss_dfl: 0.189740 loss: 1.289926 eta: 1 day, 18:36:40 batch_cost: 2.3117 data_cost: 0.0014 ips: 24.2243 images/s [10/21 15:10:53] ppdet.engine INFO: Epoch: [49] [140/261] learning_rate: 0.280266 loss_vfl: 0.813609 loss_bbox: 0.299807 loss_dfl: 0.191137 loss: 1.315608 eta: 1 day, 18:35:51 batch_cost: 2.3277 data_cost: 0.0013 ips: 24.0582 images/s [10/21 15:11:44] ppdet.engine INFO: Epoch: [49] [160/261] learning_rate: 0.280207 loss_vfl: 0.801116 loss_bbox: 0.297272 loss_dfl: 0.198183 loss: 1.309135 eta: 1 day, 18:35:12 batch_cost: 2.4277 data_cost: 0.0013 ips: 23.0670 images/s [10/21 15:12:32] ppdet.engine INFO: Epoch: [49] [180/261] learning_rate: 0.280147 loss_vfl: 0.795230 loss_bbox: 0.295538 loss_dfl: 0.188112 loss: 1.292156 eta: 1 day, 18:34:16 batch_cost: 2.2571 data_cost: 0.0014 ips: 24.8109 images/s [10/21 15:13:19] ppdet.engine INFO: Epoch: [49] [200/261] learning_rate: 0.280087 loss_vfl: 0.813241 loss_bbox: 0.312623 loss_dfl: 0.198368 loss: 1.321580 eta: 1 day, 18:33:20 batch_cost: 2.2516 data_cost: 0.0014 ips: 24.8712 images/s [10/21 15:14:07] ppdet.engine INFO: Epoch: [49] [220/261] learning_rate: 0.280027 loss_vfl: 0.815408 loss_bbox: 0.289032 loss_dfl: 0.192951 loss: 1.280898 eta: 1 day, 18:32:25 batch_cost: 2.2634 data_cost: 0.0014 ips: 24.7415 images/s [10/21 15:14:54] ppdet.engine INFO: Epoch: [49] [240/261] learning_rate: 0.279967 loss_vfl: 0.807486 loss_bbox: 0.292195 loss_dfl: 0.195625 loss: 1.292662 eta: 1 day, 18:31:22 batch_cost: 2.1915 data_cost: 0.0014 ips: 25.5536 images/s [10/21 15:15:37] ppdet.engine INFO: Epoch: [49] [260/261] learning_rate: 0.279907 loss_vfl: 0.805400 loss_bbox: 0.311898 loss_dfl: 0.192042 loss: 1.300375 eta: 1 day, 18:30:02 batch_cost: 2.0089 data_cost: 0.0012 ips: 27.8763 images/s [10/21 15:15:42] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 15:15:43] ppdet.engine INFO: Eval iter: 0 [10/21 15:16:11] ppdet.engine INFO: Eval iter: 100 [10/21 15:16:26] ppdet.engine INFO: Eval iter: 200 [10/21 15:16:42] ppdet.engine INFO: Eval iter: 300 [10/21 15:16:58] ppdet.engine INFO: Eval iter: 400 [10/21 15:17:14] ppdet.engine INFO: Eval iter: 500 [10/21 15:17:30] ppdet.engine INFO: Eval iter: 600 [10/21 15:17:45] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.98s) creating index... index created! [10/21 15:17:46] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.07s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=70.33s). Accumulating evaluation results... DONE (t=12.50s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.335 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.501 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.350 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.134 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.364 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.287 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.453 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.484 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.212 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.546 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.719 [10/21 15:19:16] ppdet.engine INFO: Total sample number: 4952, averge FPS: 43.96673040336718 [10/21 15:19:16] ppdet.engine INFO: Best test bbox ap is 0.335. [10/21 15:19:16] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 15:19:20] ppdet.engine INFO: Epoch: [50] [ 0/261] learning_rate: 0.279904 loss_vfl: 0.805400 loss_bbox: 0.311898 loss_dfl: 0.192042 loss: 1.313262 eta: 1 day, 18:30:05 batch_cost: 2.0104 data_cost: 0.0013 ips: 27.8558 images/s [10/21 15:20:17] ppdet.engine INFO: Epoch: [50] [ 20/261] learning_rate: 0.279844 loss_vfl: 0.814652 loss_bbox: 0.287937 loss_dfl: 0.189282 loss: 1.301828 eta: 1 day, 18:29:45 batch_cost: 2.6129 data_cost: 0.0015 ips: 21.4320 images/s [10/21 15:21:07] ppdet.engine INFO: Epoch: [50] [ 40/261] learning_rate: 0.279783 loss_vfl: 0.809520 loss_bbox: 0.291495 loss_dfl: 0.188682 loss: 1.303890 eta: 1 day, 18:28:56 batch_cost: 2.3235 data_cost: 0.0013 ips: 24.1017 images/s [10/21 15:21:56] ppdet.engine INFO: Epoch: [50] [ 60/261] learning_rate: 0.279723 loss_vfl: 0.794309 loss_bbox: 0.307046 loss_dfl: 0.190315 loss: 1.295532 eta: 1 day, 18:28:07 batch_cost: 2.3197 data_cost: 0.0013 ips: 24.1414 images/s [10/21 15:22:43] ppdet.engine INFO: Epoch: [50] [ 80/261] learning_rate: 0.279662 loss_vfl: 0.801729 loss_bbox: 0.296823 loss_dfl: 0.186884 loss: 1.310554 eta: 1 day, 18:27:06 batch_cost: 2.2021 data_cost: 0.0013 ips: 25.4300 images/s [10/21 15:23:32] ppdet.engine INFO: Epoch: [50] [100/261] learning_rate: 0.279602 loss_vfl: 0.806623 loss_bbox: 0.280643 loss_dfl: 0.181455 loss: 1.280530 eta: 1 day, 18:26:15 batch_cost: 2.3029 data_cost: 0.0013 ips: 24.3168 images/s [10/21 15:24:20] ppdet.engine INFO: Epoch: [50] [120/261] learning_rate: 0.279541 loss_vfl: 0.800795 loss_bbox: 0.300632 loss_dfl: 0.190968 loss: 1.303580 eta: 1 day, 18:25:20 batch_cost: 2.2639 data_cost: 0.0013 ips: 24.7365 images/s [10/21 15:25:07] ppdet.engine INFO: Epoch: [50] [140/261] learning_rate: 0.279480 loss_vfl: 0.793064 loss_bbox: 0.285487 loss_dfl: 0.185289 loss: 1.293002 eta: 1 day, 18:24:26 batch_cost: 2.2787 data_cost: 0.0013 ips: 24.5758 images/s [10/21 15:25:57] ppdet.engine INFO: Epoch: [50] [160/261] learning_rate: 0.279420 loss_vfl: 0.799651 loss_bbox: 0.315824 loss_dfl: 0.202701 loss: 1.320394 eta: 1 day, 18:23:36 batch_cost: 2.3071 data_cost: 0.0012 ips: 24.2734 images/s [10/21 15:26:46] ppdet.engine INFO: Epoch: [50] [180/261] learning_rate: 0.279359 loss_vfl: 0.796368 loss_bbox: 0.288792 loss_dfl: 0.190725 loss: 1.264324 eta: 1 day, 18:22:51 batch_cost: 2.3672 data_cost: 0.0013 ips: 23.6562 images/s [10/21 15:27:34] ppdet.engine INFO: Epoch: [50] [200/261] learning_rate: 0.279298 loss_vfl: 0.796549 loss_bbox: 0.319472 loss_dfl: 0.200537 loss: 1.313886 eta: 1 day, 18:21:49 batch_cost: 2.1889 data_cost: 0.0013 ips: 25.5834 images/s [10/21 15:28:22] ppdet.engine INFO: Epoch: [50] [220/261] learning_rate: 0.279237 loss_vfl: 0.814735 loss_bbox: 0.294527 loss_dfl: 0.192755 loss: 1.293325 eta: 1 day, 18:20:52 batch_cost: 2.2437 data_cost: 0.0013 ips: 24.9588 images/s [10/21 15:29:12] ppdet.engine INFO: Epoch: [50] [240/261] learning_rate: 0.279176 loss_vfl: 0.820473 loss_bbox: 0.296477 loss_dfl: 0.194500 loss: 1.319226 eta: 1 day, 18:20:01 batch_cost: 2.2978 data_cost: 0.0013 ips: 24.3717 images/s [10/21 15:29:55] ppdet.engine INFO: Epoch: [50] [260/261] learning_rate: 0.279114 loss_vfl: 0.800425 loss_bbox: 0.293682 loss_dfl: 0.191463 loss: 1.300892 eta: 1 day, 18:18:47 batch_cost: 2.0688 data_cost: 0.0013 ips: 27.0688 images/s [10/21 15:30:20] ppdet.engine INFO: Epoch: [51] [ 0/261] learning_rate: 0.279111 loss_vfl: 0.800425 loss_bbox: 0.293682 loss_dfl: 0.191463 loss: 1.300892 eta: 1 day, 18:20:06 batch_cost: 2.8925 data_cost: 0.4978 ips: 19.3606 images/s [10/21 15:31:16] ppdet.engine INFO: Epoch: [51] [ 20/261] learning_rate: 0.279050 loss_vfl: 0.802041 loss_bbox: 0.300098 loss_dfl: 0.195721 loss: 1.289640 eta: 1 day, 18:19:49 batch_cost: 2.6564 data_cost: 0.0013 ips: 21.0809 images/s [10/21 15:32:03] ppdet.engine INFO: Epoch: [51] [ 40/261] learning_rate: 0.278989 loss_vfl: 0.807048 loss_bbox: 0.293347 loss_dfl: 0.189466 loss: 1.289482 eta: 1 day, 18:18:47 batch_cost: 2.1918 data_cost: 0.0013 ips: 25.5498 images/s [10/21 15:32:51] ppdet.engine INFO: Epoch: [51] [ 60/261] learning_rate: 0.278927 loss_vfl: 0.800468 loss_bbox: 0.287521 loss_dfl: 0.184981 loss: 1.265870 eta: 1 day, 18:17:59 batch_cost: 2.3319 data_cost: 0.0014 ips: 24.0150 images/s [10/21 15:33:41] ppdet.engine INFO: Epoch: [51] [ 80/261] learning_rate: 0.278866 loss_vfl: 0.790235 loss_bbox: 0.296703 loss_dfl: 0.192430 loss: 1.308707 eta: 1 day, 18:17:09 batch_cost: 2.3068 data_cost: 0.0013 ips: 24.2761 images/s [10/21 15:34:30] ppdet.engine INFO: Epoch: [51] [100/261] learning_rate: 0.278804 loss_vfl: 0.814027 loss_bbox: 0.293912 loss_dfl: 0.191650 loss: 1.299188 eta: 1 day, 18:16:09 batch_cost: 2.2159 data_cost: 0.0014 ips: 25.2720 images/s [10/21 15:35:16] ppdet.engine INFO: Epoch: [51] [120/261] learning_rate: 0.278742 loss_vfl: 0.804489 loss_bbox: 0.300270 loss_dfl: 0.188376 loss: 1.295000 eta: 1 day, 18:15:02 batch_cost: 2.1329 data_cost: 0.0014 ips: 26.2558 images/s [10/21 15:36:03] ppdet.engine INFO: Epoch: [51] [140/261] learning_rate: 0.278680 loss_vfl: 0.812879 loss_bbox: 0.304509 loss_dfl: 0.194753 loss: 1.294533 eta: 1 day, 18:14:03 batch_cost: 2.2173 data_cost: 0.0013 ips: 25.2560 images/s [10/21 15:36:53] ppdet.engine INFO: Epoch: [51] [160/261] learning_rate: 0.278618 loss_vfl: 0.816421 loss_bbox: 0.282025 loss_dfl: 0.185640 loss: 1.281346 eta: 1 day, 18:13:16 batch_cost: 2.3452 data_cost: 0.0013 ips: 23.8781 images/s [10/21 15:37:39] ppdet.engine INFO: Epoch: [51] [180/261] learning_rate: 0.278556 loss_vfl: 0.813289 loss_bbox: 0.299431 loss_dfl: 0.193559 loss: 1.316481 eta: 1 day, 18:12:18 batch_cost: 2.2275 data_cost: 0.0014 ips: 25.1405 images/s [10/21 15:38:28] ppdet.engine INFO: Epoch: [51] [200/261] learning_rate: 0.278494 loss_vfl: 0.792650 loss_bbox: 0.324071 loss_dfl: 0.201626 loss: 1.298233 eta: 1 day, 18:11:22 batch_cost: 2.2538 data_cost: 0.0013 ips: 24.8465 images/s [10/21 15:39:15] ppdet.engine INFO: Epoch: [51] [220/261] learning_rate: 0.278432 loss_vfl: 0.797139 loss_bbox: 0.290935 loss_dfl: 0.183360 loss: 1.276970 eta: 1 day, 18:10:22 batch_cost: 2.2041 data_cost: 0.0013 ips: 25.4073 images/s [10/21 15:40:03] ppdet.engine INFO: Epoch: [51] [240/261] learning_rate: 0.278370 loss_vfl: 0.798302 loss_bbox: 0.302916 loss_dfl: 0.190344 loss: 1.291302 eta: 1 day, 18:09:24 batch_cost: 2.2284 data_cost: 0.0014 ips: 25.1307 images/s [10/21 15:40:45] ppdet.engine INFO: Epoch: [51] [260/261] learning_rate: 0.278308 loss_vfl: 0.804086 loss_bbox: 0.300418 loss_dfl: 0.191243 loss: 1.294096 eta: 1 day, 18:08:03 batch_cost: 1.9927 data_cost: 0.0013 ips: 28.1023 images/s [10/21 15:41:09] ppdet.engine INFO: Epoch: [52] [ 0/261] learning_rate: 0.278305 loss_vfl: 0.804265 loss_bbox: 0.300418 loss_dfl: 0.191243 loss: 1.294096 eta: 1 day, 18:09:17 batch_cost: 2.7754 data_cost: 0.3859 ips: 20.1769 images/s [10/21 15:42:04] ppdet.engine INFO: Epoch: [52] [ 20/261] learning_rate: 0.278242 loss_vfl: 0.787816 loss_bbox: 0.300331 loss_dfl: 0.198018 loss: 1.295716 eta: 1 day, 18:08:54 batch_cost: 2.5908 data_cost: 0.0013 ips: 21.6146 images/s [10/21 15:42:54] ppdet.engine INFO: Epoch: [52] [ 40/261] learning_rate: 0.278180 loss_vfl: 0.807967 loss_bbox: 0.302127 loss_dfl: 0.193174 loss: 1.297954 eta: 1 day, 18:08:01 batch_cost: 2.2768 data_cost: 0.0014 ips: 24.5962 images/s [10/21 15:43:44] ppdet.engine INFO: Epoch: [52] [ 60/261] learning_rate: 0.278117 loss_vfl: 0.796136 loss_bbox: 0.300621 loss_dfl: 0.197614 loss: 1.301404 eta: 1 day, 18:07:16 batch_cost: 2.3700 data_cost: 0.0014 ips: 23.6291 images/s [10/21 15:44:33] ppdet.engine INFO: Epoch: [52] [ 80/261] learning_rate: 0.278055 loss_vfl: 0.814040 loss_bbox: 0.301699 loss_dfl: 0.196228 loss: 1.306826 eta: 1 day, 18:06:25 batch_cost: 2.3028 data_cost: 0.0015 ips: 24.3186 images/s [10/21 15:45:22] ppdet.engine INFO: Epoch: [52] [100/261] learning_rate: 0.277992 loss_vfl: 0.783769 loss_bbox: 0.287756 loss_dfl: 0.194799 loss: 1.267303 eta: 1 day, 18:05:33 batch_cost: 2.2929 data_cost: 0.0103 ips: 24.4231 images/s [10/21 15:46:12] ppdet.engine INFO: Epoch: [52] [120/261] learning_rate: 0.277929 loss_vfl: 0.801069 loss_bbox: 0.296103 loss_dfl: 0.199437 loss: 1.309130 eta: 1 day, 18:04:46 batch_cost: 2.3429 data_cost: 0.0015 ips: 23.9019 images/s [10/21 15:46:59] ppdet.engine INFO: Epoch: [52] [140/261] learning_rate: 0.277866 loss_vfl: 0.797701 loss_bbox: 0.305291 loss_dfl: 0.201578 loss: 1.289737 eta: 1 day, 18:03:47 batch_cost: 2.2093 data_cost: 0.0014 ips: 25.3471 images/s [10/21 15:47:48] ppdet.engine INFO: Epoch: [52] [160/261] learning_rate: 0.277803 loss_vfl: 0.801208 loss_bbox: 0.280964 loss_dfl: 0.190256 loss: 1.292829 eta: 1 day, 18:02:59 batch_cost: 2.3328 data_cost: 0.0013 ips: 24.0059 images/s [10/21 15:48:36] ppdet.engine INFO: Epoch: [52] [180/261] learning_rate: 0.277740 loss_vfl: 0.811716 loss_bbox: 0.287842 loss_dfl: 0.193322 loss: 1.307655 eta: 1 day, 18:02:06 batch_cost: 2.2857 data_cost: 0.0014 ips: 24.4997 images/s [10/21 15:49:25] ppdet.engine INFO: Epoch: [52] [200/261] learning_rate: 0.277677 loss_vfl: 0.801043 loss_bbox: 0.294303 loss_dfl: 0.188522 loss: 1.276719 eta: 1 day, 18:01:17 batch_cost: 2.3198 data_cost: 0.0013 ips: 24.1403 images/s [10/21 15:50:16] ppdet.engine INFO: Epoch: [52] [220/261] learning_rate: 0.277614 loss_vfl: 0.798699 loss_bbox: 0.303677 loss_dfl: 0.195679 loss: 1.288915 eta: 1 day, 18:00:32 batch_cost: 2.3680 data_cost: 0.0013 ips: 23.6490 images/s [10/21 15:51:03] ppdet.engine INFO: Epoch: [52] [240/261] learning_rate: 0.277550 loss_vfl: 0.782468 loss_bbox: 0.279325 loss_dfl: 0.186021 loss: 1.260558 eta: 1 day, 17:59:37 batch_cost: 2.2488 data_cost: 0.0013 ips: 24.9027 images/s [10/21 15:51:46] ppdet.engine INFO: Epoch: [52] [260/261] learning_rate: 0.277487 loss_vfl: 0.799434 loss_bbox: 0.316051 loss_dfl: 0.205053 loss: 1.313973 eta: 1 day, 17:58:22 batch_cost: 2.0425 data_cost: 0.0012 ips: 27.4176 images/s [10/21 15:52:10] ppdet.engine INFO: Epoch: [53] [ 0/261] learning_rate: 0.277484 loss_vfl: 0.799434 loss_bbox: 0.314752 loss_dfl: 0.205053 loss: 1.313973 eta: 1 day, 17:59:34 batch_cost: 2.8592 data_cost: 0.4783 ips: 19.5861 images/s [10/21 15:53:04] ppdet.engine INFO: Epoch: [53] [ 20/261] learning_rate: 0.277420 loss_vfl: 0.801599 loss_bbox: 0.288065 loss_dfl: 0.185394 loss: 1.278044 eta: 1 day, 17:59:11 batch_cost: 2.6055 data_cost: 0.0014 ips: 21.4929 images/s [10/21 15:53:52] ppdet.engine INFO: Epoch: [53] [ 40/261] learning_rate: 0.277357 loss_vfl: 0.799201 loss_bbox: 0.321666 loss_dfl: 0.203678 loss: 1.333626 eta: 1 day, 17:58:12 batch_cost: 2.2212 data_cost: 0.0013 ips: 25.2113 images/s [10/21 15:54:42] ppdet.engine INFO: Epoch: [53] [ 60/261] learning_rate: 0.277293 loss_vfl: 0.803939 loss_bbox: 0.306459 loss_dfl: 0.188403 loss: 1.280681 eta: 1 day, 17:57:29 batch_cost: 2.3808 data_cost: 0.0013 ips: 23.5218 images/s [10/21 15:55:28] ppdet.engine INFO: Epoch: [53] [ 80/261] learning_rate: 0.277230 loss_vfl: 0.808589 loss_bbox: 0.293732 loss_dfl: 0.192931 loss: 1.288992 eta: 1 day, 17:56:22 batch_cost: 2.1332 data_cost: 0.0014 ips: 26.2521 images/s [10/21 15:56:15] ppdet.engine INFO: Epoch: [53] [100/261] learning_rate: 0.277166 loss_vfl: 0.793612 loss_bbox: 0.297357 loss_dfl: 0.191381 loss: 1.304436 eta: 1 day, 17:55:28 batch_cost: 2.2649 data_cost: 0.0013 ips: 24.7256 images/s [10/21 15:57:05] ppdet.engine INFO: Epoch: [53] [120/261] learning_rate: 0.277102 loss_vfl: 0.811806 loss_bbox: 0.296908 loss_dfl: 0.188006 loss: 1.293083 eta: 1 day, 17:54:41 batch_cost: 2.3445 data_cost: 0.0013 ips: 23.8854 images/s [10/21 15:57:54] ppdet.engine INFO: Epoch: [53] [140/261] learning_rate: 0.277038 loss_vfl: 0.794852 loss_bbox: 0.311517 loss_dfl: 0.201678 loss: 1.307965 eta: 1 day, 17:53:54 batch_cost: 2.3417 data_cost: 0.0013 ips: 23.9141 images/s [10/21 15:58:42] ppdet.engine INFO: Epoch: [53] [160/261] learning_rate: 0.276974 loss_vfl: 0.799321 loss_bbox: 0.302709 loss_dfl: 0.195482 loss: 1.300152 eta: 1 day, 17:52:57 batch_cost: 2.2374 data_cost: 0.0064 ips: 25.0296 images/s [10/21 15:59:32] ppdet.engine INFO: Epoch: [53] [180/261] learning_rate: 0.276910 loss_vfl: 0.805366 loss_bbox: 0.307191 loss_dfl: 0.200569 loss: 1.307319 eta: 1 day, 17:52:15 batch_cost: 2.3940 data_cost: 0.0013 ips: 23.3919 images/s [10/21 16:00:21] ppdet.engine INFO: Epoch: [53] [200/261] learning_rate: 0.276846 loss_vfl: 0.803059 loss_bbox: 0.298470 loss_dfl: 0.192387 loss: 1.294080 eta: 1 day, 17:51:21 batch_cost: 2.2672 data_cost: 0.0013 ips: 24.7001 images/s [10/21 16:01:10] ppdet.engine INFO: Epoch: [53] [220/261] learning_rate: 0.276781 loss_vfl: 0.803950 loss_bbox: 0.293229 loss_dfl: 0.196008 loss: 1.303659 eta: 1 day, 17:50:35 batch_cost: 2.3573 data_cost: 0.0013 ips: 23.7561 images/s [10/21 16:01:58] ppdet.engine INFO: Epoch: [53] [240/261] learning_rate: 0.276717 loss_vfl: 0.799992 loss_bbox: 0.286743 loss_dfl: 0.189989 loss: 1.277081 eta: 1 day, 17:49:42 batch_cost: 2.2774 data_cost: 0.0013 ips: 24.5894 images/s [10/21 16:02:42] ppdet.engine INFO: Epoch: [53] [260/261] learning_rate: 0.276652 loss_vfl: 0.811613 loss_bbox: 0.314525 loss_dfl: 0.199222 loss: 1.317426 eta: 1 day, 17:48:28 batch_cost: 2.0506 data_cost: 0.0012 ips: 27.3088 images/s [10/21 16:03:07] ppdet.engine INFO: Epoch: [54] [ 0/261] learning_rate: 0.276649 loss_vfl: 0.806462 loss_bbox: 0.314525 loss_dfl: 0.199222 loss: 1.317426 eta: 1 day, 17:49:44 batch_cost: 2.9335 data_cost: 0.2167 ips: 19.0897 images/s [10/21 16:03:59] ppdet.engine INFO: Epoch: [54] [ 20/261] learning_rate: 0.276585 loss_vfl: 0.802106 loss_bbox: 0.285042 loss_dfl: 0.193616 loss: 1.277152 eta: 1 day, 17:49:09 batch_cost: 2.4777 data_cost: 0.0014 ips: 22.6012 images/s [10/21 16:04:47] ppdet.engine INFO: Epoch: [54] [ 40/261] learning_rate: 0.276520 loss_vfl: 0.807529 loss_bbox: 0.285430 loss_dfl: 0.192681 loss: 1.273973 eta: 1 day, 17:48:17 batch_cost: 2.2807 data_cost: 0.0013 ips: 24.5541 images/s [10/21 16:05:38] ppdet.engine INFO: Epoch: [54] [ 60/261] learning_rate: 0.276455 loss_vfl: 0.791079 loss_bbox: 0.302052 loss_dfl: 0.197548 loss: 1.303074 eta: 1 day, 17:47:35 batch_cost: 2.4082 data_cost: 0.0013 ips: 23.2543 images/s [10/21 16:06:27] ppdet.engine INFO: Epoch: [54] [ 80/261] learning_rate: 0.276391 loss_vfl: 0.797203 loss_bbox: 0.297628 loss_dfl: 0.194826 loss: 1.293015 eta: 1 day, 17:46:43 batch_cost: 2.2881 data_cost: 0.0013 ips: 24.4742 images/s [10/21 16:07:16] ppdet.engine INFO: Epoch: [54] [100/261] learning_rate: 0.276326 loss_vfl: 0.794806 loss_bbox: 0.292703 loss_dfl: 0.191822 loss: 1.284786 eta: 1 day, 17:45:48 batch_cost: 2.2540 data_cost: 0.0013 ips: 24.8448 images/s [10/21 16:08:06] ppdet.engine INFO: Epoch: [54] [120/261] learning_rate: 0.276261 loss_vfl: 0.796546 loss_bbox: 0.285921 loss_dfl: 0.188220 loss: 1.280799 eta: 1 day, 17:45:00 batch_cost: 2.3304 data_cost: 0.0013 ips: 24.0297 images/s [10/21 16:08:53] ppdet.engine INFO: Epoch: [54] [140/261] learning_rate: 0.276196 loss_vfl: 0.812431 loss_bbox: 0.293018 loss_dfl: 0.193129 loss: 1.314774 eta: 1 day, 17:44:04 batch_cost: 2.2486 data_cost: 0.0013 ips: 24.9041 images/s [10/21 16:09:42] ppdet.engine INFO: Epoch: [54] [160/261] learning_rate: 0.276131 loss_vfl: 0.800288 loss_bbox: 0.301062 loss_dfl: 0.192121 loss: 1.281001 eta: 1 day, 17:43:16 batch_cost: 2.3347 data_cost: 0.0015 ips: 23.9860 images/s [10/21 16:10:30] ppdet.engine INFO: Epoch: [54] [180/261] learning_rate: 0.276065 loss_vfl: 0.808690 loss_bbox: 0.282495 loss_dfl: 0.189979 loss: 1.269532 eta: 1 day, 17:42:21 batch_cost: 2.2550 data_cost: 0.0013 ips: 24.8340 images/s [10/21 16:11:17] ppdet.engine INFO: Epoch: [54] [200/261] learning_rate: 0.276000 loss_vfl: 0.810415 loss_bbox: 0.286922 loss_dfl: 0.184632 loss: 1.282842 eta: 1 day, 17:41:22 batch_cost: 2.2056 data_cost: 0.0014 ips: 25.3895 images/s [10/21 16:12:04] ppdet.engine INFO: Epoch: [54] [220/261] learning_rate: 0.275935 loss_vfl: 0.795764 loss_bbox: 0.311222 loss_dfl: 0.205866 loss: 1.324363 eta: 1 day, 17:40:24 batch_cost: 2.2233 data_cost: 0.0013 ips: 25.1879 images/s [10/21 16:12:53] ppdet.engine INFO: Epoch: [54] [240/261] learning_rate: 0.275869 loss_vfl: 0.778812 loss_bbox: 0.302205 loss_dfl: 0.199860 loss: 1.294279 eta: 1 day, 17:39:31 batch_cost: 2.2726 data_cost: 0.0013 ips: 24.6415 images/s [10/21 16:13:35] ppdet.engine INFO: Epoch: [54] [260/261] learning_rate: 0.275804 loss_vfl: 0.818323 loss_bbox: 0.295048 loss_dfl: 0.194712 loss: 1.308083 eta: 1 day, 17:38:13 batch_cost: 1.9972 data_cost: 0.0011 ips: 28.0389 images/s [10/21 16:13:59] ppdet.engine INFO: Epoch: [55] [ 0/261] learning_rate: 0.275801 loss_vfl: 0.818323 loss_bbox: 0.291151 loss_dfl: 0.193968 loss: 1.295082 eta: 1 day, 17:39:17 batch_cost: 2.7559 data_cost: 0.4208 ips: 20.3201 images/s [10/21 16:14:53] ppdet.engine INFO: Epoch: [55] [ 20/261] learning_rate: 0.275735 loss_vfl: 0.818267 loss_bbox: 0.298444 loss_dfl: 0.196423 loss: 1.317647 eta: 1 day, 17:38:47 batch_cost: 2.5263 data_cost: 0.0014 ips: 22.1666 images/s [10/21 16:15:41] ppdet.engine INFO: Epoch: [55] [ 40/261] learning_rate: 0.275669 loss_vfl: 0.790958 loss_bbox: 0.273849 loss_dfl: 0.184749 loss: 1.250324 eta: 1 day, 17:38:00 batch_cost: 2.3466 data_cost: 0.0013 ips: 23.8643 images/s [10/21 16:16:29] ppdet.engine INFO: Epoch: [55] [ 60/261] learning_rate: 0.275604 loss_vfl: 0.797287 loss_bbox: 0.293526 loss_dfl: 0.198683 loss: 1.292994 eta: 1 day, 17:36:59 batch_cost: 2.1871 data_cost: 0.0014 ips: 25.6042 images/s [10/21 16:17:18] ppdet.engine INFO: Epoch: [55] [ 80/261] learning_rate: 0.275538 loss_vfl: 0.799481 loss_bbox: 0.297670 loss_dfl: 0.190152 loss: 1.266536 eta: 1 day, 17:36:05 batch_cost: 2.2693 data_cost: 0.0013 ips: 24.6767 images/s [10/21 16:18:06] ppdet.engine INFO: Epoch: [55] [100/261] learning_rate: 0.275472 loss_vfl: 0.801923 loss_bbox: 0.290374 loss_dfl: 0.195330 loss: 1.306639 eta: 1 day, 17:35:06 batch_cost: 2.2052 data_cost: 0.0014 ips: 25.3950 images/s [10/21 16:18:54] ppdet.engine INFO: Epoch: [55] [120/261] learning_rate: 0.275406 loss_vfl: 0.796898 loss_bbox: 0.298765 loss_dfl: 0.193962 loss: 1.315954 eta: 1 day, 17:34:18 batch_cost: 2.3264 data_cost: 0.0013 ips: 24.0718 images/s [10/21 16:19:42] ppdet.engine INFO: Epoch: [55] [140/261] learning_rate: 0.275340 loss_vfl: 0.783089 loss_bbox: 0.295020 loss_dfl: 0.195228 loss: 1.274452 eta: 1 day, 17:33:23 batch_cost: 2.2567 data_cost: 0.0013 ips: 24.8145 images/s [10/21 16:20:31] ppdet.engine INFO: Epoch: [55] [160/261] learning_rate: 0.275274 loss_vfl: 0.817349 loss_bbox: 0.309937 loss_dfl: 0.192915 loss: 1.317435 eta: 1 day, 17:32:31 batch_cost: 2.2896 data_cost: 0.0013 ips: 24.4587 images/s [10/21 16:21:22] ppdet.engine INFO: Epoch: [55] [180/261] learning_rate: 0.275207 loss_vfl: 0.797765 loss_bbox: 0.298325 loss_dfl: 0.192620 loss: 1.278599 eta: 1 day, 17:31:48 batch_cost: 2.3910 data_cost: 0.0014 ips: 23.4210 images/s [10/21 16:22:09] ppdet.engine INFO: Epoch: [55] [200/261] learning_rate: 0.275141 loss_vfl: 0.806105 loss_bbox: 0.297658 loss_dfl: 0.191586 loss: 1.297106 eta: 1 day, 17:30:50 batch_cost: 2.2145 data_cost: 0.0013 ips: 25.2876 images/s [10/21 16:22:59] ppdet.engine INFO: Epoch: [55] [220/261] learning_rate: 0.275075 loss_vfl: 0.780222 loss_bbox: 0.294904 loss_dfl: 0.186982 loss: 1.311828 eta: 1 day, 17:30:02 batch_cost: 2.3345 data_cost: 0.0013 ips: 23.9875 images/s [10/21 16:23:48] ppdet.engine INFO: Epoch: [55] [240/261] learning_rate: 0.275008 loss_vfl: 0.806583 loss_bbox: 0.279572 loss_dfl: 0.184081 loss: 1.264138 eta: 1 day, 17:29:09 batch_cost: 2.2678 data_cost: 0.0014 ips: 24.6939 images/s [10/21 16:24:32] ppdet.engine INFO: Epoch: [55] [260/261] learning_rate: 0.274942 loss_vfl: 0.819306 loss_bbox: 0.317895 loss_dfl: 0.203383 loss: 1.309650 eta: 1 day, 17:28:02 batch_cost: 2.1209 data_cost: 0.0012 ips: 26.4037 images/s [10/21 16:24:53] ppdet.engine INFO: Epoch: [56] [ 0/261] learning_rate: 0.274938 loss_vfl: 0.818860 loss_bbox: 0.317895 loss_dfl: 0.203383 loss: 1.309650 eta: 1 day, 17:28:57 batch_cost: 2.7321 data_cost: 0.2922 ips: 20.4967 images/s [10/21 16:25:46] ppdet.engine INFO: Epoch: [56] [ 20/261] learning_rate: 0.274872 loss_vfl: 0.796224 loss_bbox: 0.307507 loss_dfl: 0.192560 loss: 1.297631 eta: 1 day, 17:28:26 batch_cost: 2.5297 data_cost: 0.0014 ips: 22.1367 images/s [10/21 16:26:36] ppdet.engine INFO: Epoch: [56] [ 40/261] learning_rate: 0.274805 loss_vfl: 0.798622 loss_bbox: 0.281481 loss_dfl: 0.183474 loss: 1.251739 eta: 1 day, 17:27:38 batch_cost: 2.3384 data_cost: 0.0013 ips: 23.9475 images/s [10/21 16:27:24] ppdet.engine INFO: Epoch: [56] [ 60/261] learning_rate: 0.274738 loss_vfl: 0.784883 loss_bbox: 0.301727 loss_dfl: 0.197280 loss: 1.298026 eta: 1 day, 17:26:47 batch_cost: 2.2881 data_cost: 0.0013 ips: 24.4744 images/s [10/21 16:28:12] ppdet.engine INFO: Epoch: [56] [ 80/261] learning_rate: 0.274671 loss_vfl: 0.791985 loss_bbox: 0.288678 loss_dfl: 0.189640 loss: 1.266034 eta: 1 day, 17:25:52 batch_cost: 2.2518 data_cost: 0.0013 ips: 24.8695 images/s [10/21 16:29:01] ppdet.engine INFO: Epoch: [56] [100/261] learning_rate: 0.274604 loss_vfl: 0.796351 loss_bbox: 0.297896 loss_dfl: 0.194289 loss: 1.293506 eta: 1 day, 17:24:59 batch_cost: 2.2848 data_cost: 0.0013 ips: 24.5098 images/s [10/21 16:29:49] ppdet.engine INFO: Epoch: [56] [120/261] learning_rate: 0.274537 loss_vfl: 0.805314 loss_bbox: 0.283941 loss_dfl: 0.186049 loss: 1.280190 eta: 1 day, 17:24:10 batch_cost: 2.3179 data_cost: 0.0013 ips: 24.1600 images/s [10/21 16:30:38] ppdet.engine INFO: Epoch: [56] [140/261] learning_rate: 0.274470 loss_vfl: 0.790109 loss_bbox: 0.306892 loss_dfl: 0.203649 loss: 1.323324 eta: 1 day, 17:23:22 batch_cost: 2.3320 data_cost: 0.0013 ips: 24.0140 images/s [10/21 16:31:27] ppdet.engine INFO: Epoch: [56] [160/261] learning_rate: 0.274403 loss_vfl: 0.799443 loss_bbox: 0.282718 loss_dfl: 0.191067 loss: 1.268897 eta: 1 day, 17:22:30 batch_cost: 2.2846 data_cost: 0.0014 ips: 24.5118 images/s [10/21 16:32:14] ppdet.engine INFO: Epoch: [56] [180/261] learning_rate: 0.274335 loss_vfl: 0.807410 loss_bbox: 0.275112 loss_dfl: 0.186661 loss: 1.273816 eta: 1 day, 17:21:34 batch_cost: 2.2377 data_cost: 0.0013 ips: 25.0255 images/s [10/21 16:33:04] ppdet.engine INFO: Epoch: [56] [200/261] learning_rate: 0.274268 loss_vfl: 0.799834 loss_bbox: 0.291602 loss_dfl: 0.195927 loss: 1.295342 eta: 1 day, 17:20:42 batch_cost: 2.2891 data_cost: 0.0013 ips: 24.4643 images/s [10/21 16:33:53] ppdet.engine INFO: Epoch: [56] [220/261] learning_rate: 0.274201 loss_vfl: 0.781310 loss_bbox: 0.276753 loss_dfl: 0.191033 loss: 1.259900 eta: 1 day, 17:19:50 batch_cost: 2.2802 data_cost: 0.0014 ips: 24.5593 images/s [10/21 16:34:43] ppdet.engine INFO: Epoch: [56] [240/261] learning_rate: 0.274133 loss_vfl: 0.809443 loss_bbox: 0.276515 loss_dfl: 0.187013 loss: 1.272169 eta: 1 day, 17:19:03 batch_cost: 2.3433 data_cost: 0.0013 ips: 23.8977 images/s [10/21 16:35:25] ppdet.engine INFO: Epoch: [56] [260/261] learning_rate: 0.274065 loss_vfl: 0.808978 loss_bbox: 0.298380 loss_dfl: 0.194052 loss: 1.285602 eta: 1 day, 17:17:49 batch_cost: 2.0318 data_cost: 0.0011 ips: 27.5623 images/s [10/21 16:35:49] ppdet.engine INFO: Epoch: [57] [ 0/261] learning_rate: 0.274062 loss_vfl: 0.803530 loss_bbox: 0.298380 loss_dfl: 0.196641 loss: 1.285602 eta: 1 day, 17:18:55 batch_cost: 2.8095 data_cost: 0.4600 ips: 19.9323 images/s [10/21 16:36:44] ppdet.engine INFO: Epoch: [57] [ 20/261] learning_rate: 0.273994 loss_vfl: 0.793176 loss_bbox: 0.294528 loss_dfl: 0.195741 loss: 1.266691 eta: 1 day, 17:18:32 batch_cost: 2.6322 data_cost: 0.0013 ips: 21.2747 images/s [10/21 16:37:33] ppdet.engine INFO: Epoch: [57] [ 40/261] learning_rate: 0.273927 loss_vfl: 0.795184 loss_bbox: 0.300068 loss_dfl: 0.195933 loss: 1.299026 eta: 1 day, 17:17:43 batch_cost: 2.3177 data_cost: 0.0013 ips: 24.1622 images/s [10/21 16:38:23] ppdet.engine INFO: Epoch: [57] [ 60/261] learning_rate: 0.273859 loss_vfl: 0.814339 loss_bbox: 0.301577 loss_dfl: 0.198472 loss: 1.299364 eta: 1 day, 17:16:51 batch_cost: 2.2879 data_cost: 0.0014 ips: 24.4764 images/s [10/21 16:39:11] ppdet.engine INFO: Epoch: [57] [ 80/261] learning_rate: 0.273791 loss_vfl: 0.793443 loss_bbox: 0.305252 loss_dfl: 0.198255 loss: 1.306216 eta: 1 day, 17:16:01 batch_cost: 2.3083 data_cost: 0.0013 ips: 24.2606 images/s [10/21 16:40:00] ppdet.engine INFO: Epoch: [57] [100/261] learning_rate: 0.273723 loss_vfl: 0.788268 loss_bbox: 0.269847 loss_dfl: 0.183843 loss: 1.261681 eta: 1 day, 17:15:12 batch_cost: 2.3177 data_cost: 0.0013 ips: 24.1615 images/s [10/21 16:40:48] ppdet.engine INFO: Epoch: [57] [120/261] learning_rate: 0.273655 loss_vfl: 0.800159 loss_bbox: 0.301486 loss_dfl: 0.193548 loss: 1.280517 eta: 1 day, 17:14:20 batch_cost: 2.2798 data_cost: 0.0013 ips: 24.5641 images/s [10/21 16:41:36] ppdet.engine INFO: Epoch: [57] [140/261] learning_rate: 0.273587 loss_vfl: 0.824499 loss_bbox: 0.306926 loss_dfl: 0.195268 loss: 1.325346 eta: 1 day, 17:13:25 batch_cost: 2.2578 data_cost: 0.0013 ips: 24.8027 images/s [10/21 16:42:24] ppdet.engine INFO: Epoch: [57] [160/261] learning_rate: 0.273518 loss_vfl: 0.800089 loss_bbox: 0.299235 loss_dfl: 0.193042 loss: 1.313654 eta: 1 day, 17:12:34 batch_cost: 2.2908 data_cost: 0.0013 ips: 24.4456 images/s [10/21 16:43:12] ppdet.engine INFO: Epoch: [57] [180/261] learning_rate: 0.273450 loss_vfl: 0.793644 loss_bbox: 0.296610 loss_dfl: 0.190718 loss: 1.281580 eta: 1 day, 17:11:41 batch_cost: 2.2798 data_cost: 0.0013 ips: 24.5632 images/s [10/21 16:43:59] ppdet.engine INFO: Epoch: [57] [200/261] learning_rate: 0.273382 loss_vfl: 0.795185 loss_bbox: 0.305030 loss_dfl: 0.193484 loss: 1.315605 eta: 1 day, 17:10:46 batch_cost: 2.2441 data_cost: 0.0013 ips: 24.9545 images/s [10/21 16:44:49] ppdet.engine INFO: Epoch: [57] [220/261] learning_rate: 0.273313 loss_vfl: 0.786715 loss_bbox: 0.295639 loss_dfl: 0.196838 loss: 1.279415 eta: 1 day, 17:10:00 batch_cost: 2.3579 data_cost: 0.0012 ips: 23.7498 images/s [10/21 16:45:40] ppdet.engine INFO: Epoch: [57] [240/261] learning_rate: 0.273244 loss_vfl: 0.803141 loss_bbox: 0.288670 loss_dfl: 0.186139 loss: 1.292587 eta: 1 day, 17:09:17 batch_cost: 2.3922 data_cost: 0.0013 ips: 23.4091 images/s [10/21 16:46:22] ppdet.engine INFO: Epoch: [57] [260/261] learning_rate: 0.273176 loss_vfl: 0.800424 loss_bbox: 0.309604 loss_dfl: 0.198297 loss: 1.295576 eta: 1 day, 17:07:58 batch_cost: 1.9526 data_cost: 0.0012 ips: 28.6794 images/s [10/21 16:46:46] ppdet.engine INFO: Epoch: [58] [ 0/261] learning_rate: 0.273172 loss_vfl: 0.799180 loss_bbox: 0.309604 loss_dfl: 0.198297 loss: 1.295576 eta: 1 day, 17:09:02 batch_cost: 2.7656 data_cost: 0.4292 ips: 20.2485 images/s [10/21 16:47:44] ppdet.engine INFO: Epoch: [58] [ 20/261] learning_rate: 0.273104 loss_vfl: 0.807996 loss_bbox: 0.277559 loss_dfl: 0.192621 loss: 1.274618 eta: 1 day, 17:08:44 batch_cost: 2.6945 data_cost: 0.0013 ips: 20.7829 images/s [10/21 16:48:33] ppdet.engine INFO: Epoch: [58] [ 40/261] learning_rate: 0.273035 loss_vfl: 0.787926 loss_bbox: 0.303290 loss_dfl: 0.193482 loss: 1.282891 eta: 1 day, 17:07:57 batch_cost: 2.3420 data_cost: 0.0013 ips: 23.9114 images/s [10/21 16:49:19] ppdet.engine INFO: Epoch: [58] [ 60/261] learning_rate: 0.272966 loss_vfl: 0.811926 loss_bbox: 0.298377 loss_dfl: 0.194763 loss: 1.301917 eta: 1 day, 17:06:52 batch_cost: 2.1319 data_cost: 0.0014 ips: 26.2672 images/s [10/21 16:50:05] ppdet.engine INFO: Epoch: [58] [ 80/261] learning_rate: 0.272897 loss_vfl: 0.798954 loss_bbox: 0.292102 loss_dfl: 0.194481 loss: 1.284598 eta: 1 day, 17:05:50 batch_cost: 2.1681 data_cost: 0.0013 ips: 25.8285 images/s [10/21 16:50:54] ppdet.engine INFO: Epoch: [58] [100/261] learning_rate: 0.272828 loss_vfl: 0.788166 loss_bbox: 0.288440 loss_dfl: 0.188157 loss: 1.267376 eta: 1 day, 17:04:54 batch_cost: 2.2359 data_cost: 0.0014 ips: 25.0456 images/s [10/21 16:51:44] ppdet.engine INFO: Epoch: [58] [120/261] learning_rate: 0.272759 loss_vfl: 0.812043 loss_bbox: 0.286554 loss_dfl: 0.188589 loss: 1.272635 eta: 1 day, 17:04:05 batch_cost: 2.3213 data_cost: 0.0013 ips: 24.1243 images/s [10/21 16:52:31] ppdet.engine INFO: Epoch: [58] [140/261] learning_rate: 0.272690 loss_vfl: 0.792343 loss_bbox: 0.296788 loss_dfl: 0.201066 loss: 1.301490 eta: 1 day, 17:03:12 batch_cost: 2.2664 data_cost: 0.0014 ips: 24.7086 images/s [10/21 16:53:20] ppdet.engine INFO: Epoch: [58] [160/261] learning_rate: 0.272620 loss_vfl: 0.799600 loss_bbox: 0.290579 loss_dfl: 0.190278 loss: 1.286676 eta: 1 day, 17:02:22 batch_cost: 2.3089 data_cost: 0.0013 ips: 24.2544 images/s [10/21 16:54:07] ppdet.engine INFO: Epoch: [58] [180/261] learning_rate: 0.272551 loss_vfl: 0.801493 loss_bbox: 0.295017 loss_dfl: 0.189176 loss: 1.311063 eta: 1 day, 17:01:28 batch_cost: 2.2528 data_cost: 0.0013 ips: 24.8580 images/s [10/21 16:54:52] ppdet.engine INFO: Epoch: [58] [200/261] learning_rate: 0.272481 loss_vfl: 0.799770 loss_bbox: 0.303684 loss_dfl: 0.188568 loss: 1.282459 eta: 1 day, 17:00:26 batch_cost: 2.1621 data_cost: 0.0013 ips: 25.9002 images/s [10/21 16:55:41] ppdet.engine INFO: Epoch: [58] [220/261] learning_rate: 0.272412 loss_vfl: 0.800133 loss_bbox: 0.299686 loss_dfl: 0.197920 loss: 1.298273 eta: 1 day, 16:59:26 batch_cost: 2.1833 data_cost: 0.0013 ips: 25.6492 images/s [10/21 16:56:31] ppdet.engine INFO: Epoch: [58] [240/261] learning_rate: 0.272342 loss_vfl: 0.799113 loss_bbox: 0.298183 loss_dfl: 0.195426 loss: 1.281859 eta: 1 day, 16:58:43 batch_cost: 2.3922 data_cost: 0.0013 ips: 23.4097 images/s [10/21 16:57:15] ppdet.engine INFO: Epoch: [58] [260/261] learning_rate: 0.272273 loss_vfl: 0.791264 loss_bbox: 0.289167 loss_dfl: 0.183940 loss: 1.252406 eta: 1 day, 16:57:36 batch_cost: 2.1001 data_cost: 0.0012 ips: 26.6653 images/s [10/21 16:57:39] ppdet.engine INFO: Epoch: [59] [ 0/261] learning_rate: 0.272269 loss_vfl: 0.794791 loss_bbox: 0.297899 loss_dfl: 0.188306 loss: 1.254090 eta: 1 day, 16:58:37 batch_cost: 2.9083 data_cost: 0.5016 ips: 19.2551 images/s [10/21 16:58:31] ppdet.engine INFO: Epoch: [59] [ 20/261] learning_rate: 0.272199 loss_vfl: 0.775377 loss_bbox: 0.292782 loss_dfl: 0.189951 loss: 1.265568 eta: 1 day, 16:57:59 batch_cost: 2.4455 data_cost: 0.0012 ips: 22.8989 images/s [10/21 16:59:21] ppdet.engine INFO: Epoch: [59] [ 40/261] learning_rate: 0.272130 loss_vfl: 0.791943 loss_bbox: 0.305532 loss_dfl: 0.192802 loss: 1.291545 eta: 1 day, 16:57:07 batch_cost: 2.2931 data_cost: 0.0013 ips: 24.4214 images/s [10/21 17:00:09] ppdet.engine INFO: Epoch: [59] [ 60/261] learning_rate: 0.272060 loss_vfl: 0.785474 loss_bbox: 0.305364 loss_dfl: 0.195815 loss: 1.289967 eta: 1 day, 16:56:11 batch_cost: 2.2253 data_cost: 0.0013 ips: 25.1649 images/s [10/21 17:00:57] ppdet.engine INFO: Epoch: [59] [ 80/261] learning_rate: 0.271990 loss_vfl: 0.790484 loss_bbox: 0.281466 loss_dfl: 0.188871 loss: 1.264360 eta: 1 day, 16:55:18 batch_cost: 2.2687 data_cost: 0.0014 ips: 24.6838 images/s [10/21 17:01:48] ppdet.engine INFO: Epoch: [59] [100/261] learning_rate: 0.271920 loss_vfl: 0.780680 loss_bbox: 0.296135 loss_dfl: 0.192233 loss: 1.289525 eta: 1 day, 16:54:37 batch_cost: 2.4215 data_cost: 0.0012 ips: 23.1261 images/s [10/21 17:02:37] ppdet.engine INFO: Epoch: [59] [120/261] learning_rate: 0.271849 loss_vfl: 0.783444 loss_bbox: 0.297447 loss_dfl: 0.192687 loss: 1.272152 eta: 1 day, 16:53:48 batch_cost: 2.3167 data_cost: 0.0013 ips: 24.1718 images/s [10/21 17:03:25] ppdet.engine INFO: Epoch: [59] [140/261] learning_rate: 0.271779 loss_vfl: 0.809888 loss_bbox: 0.275712 loss_dfl: 0.182688 loss: 1.262565 eta: 1 day, 16:52:54 batch_cost: 2.2606 data_cost: 0.0014 ips: 24.7725 images/s [10/21 17:04:13] ppdet.engine INFO: Epoch: [59] [160/261] learning_rate: 0.271709 loss_vfl: 0.781761 loss_bbox: 0.301311 loss_dfl: 0.197594 loss: 1.267570 eta: 1 day, 16:52:01 batch_cost: 2.2751 data_cost: 0.0013 ips: 24.6144 images/s [10/21 17:05:00] ppdet.engine INFO: Epoch: [59] [180/261] learning_rate: 0.271638 loss_vfl: 0.794892 loss_bbox: 0.291904 loss_dfl: 0.195994 loss: 1.286787 eta: 1 day, 16:51:04 batch_cost: 2.2170 data_cost: 0.0014 ips: 25.2595 images/s [10/21 17:05:48] ppdet.engine INFO: Epoch: [59] [200/261] learning_rate: 0.271568 loss_vfl: 0.799102 loss_bbox: 0.279954 loss_dfl: 0.186102 loss: 1.268405 eta: 1 day, 16:50:07 batch_cost: 2.2200 data_cost: 0.0013 ips: 25.2253 images/s [10/21 17:06:35] ppdet.engine INFO: Epoch: [59] [220/261] learning_rate: 0.271497 loss_vfl: 0.798699 loss_bbox: 0.292986 loss_dfl: 0.189991 loss: 1.275355 eta: 1 day, 16:49:10 batch_cost: 2.2149 data_cost: 0.0014 ips: 25.2835 images/s [10/21 17:07:24] ppdet.engine INFO: Epoch: [59] [240/261] learning_rate: 0.271427 loss_vfl: 0.811069 loss_bbox: 0.298794 loss_dfl: 0.194419 loss: 1.288683 eta: 1 day, 16:48:22 batch_cost: 2.3274 data_cost: 0.0014 ips: 24.0611 images/s [10/21 17:08:05] ppdet.engine INFO: Epoch: [59] [260/261] learning_rate: 0.271356 loss_vfl: 0.799886 loss_bbox: 0.284233 loss_dfl: 0.187725 loss: 1.274272 eta: 1 day, 16:47:06 batch_cost: 1.9822 data_cost: 0.0012 ips: 28.2515 images/s [10/21 17:08:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 17:08:11] ppdet.engine INFO: Eval iter: 0 [10/21 17:08:40] ppdet.engine INFO: Eval iter: 100 [10/21 17:08:55] ppdet.engine INFO: Eval iter: 200 [10/21 17:09:11] ppdet.engine INFO: Eval iter: 300 [10/21 17:09:27] ppdet.engine INFO: Eval iter: 400 [10/21 17:09:44] ppdet.engine INFO: Eval iter: 500 [10/21 17:10:01] ppdet.engine INFO: Eval iter: 600 [10/21 17:10:15] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.94s) creating index... index created! [10/21 17:10:16] 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=71.90s). Accumulating evaluation results... DONE (t=12.55s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.343 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.508 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.360 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.137 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.372 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.539 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.293 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.462 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.492 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.220 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.557 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.724 [10/21 17:11:48] ppdet.engine INFO: Total sample number: 4952, averge FPS: 43.197249547544224 [10/21 17:11:48] ppdet.engine INFO: Best test bbox ap is 0.343. [10/21 17:11:48] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 17:11:52] ppdet.engine INFO: Epoch: [60] [ 0/261] learning_rate: 0.271353 loss_vfl: 0.799886 loss_bbox: 0.284233 loss_dfl: 0.188950 loss: 1.274272 eta: 1 day, 16:47:10 batch_cost: 2.0385 data_cost: 0.0014 ips: 27.4715 images/s [10/21 17:12:44] ppdet.engine INFO: Epoch: [60] [ 20/261] learning_rate: 0.271282 loss_vfl: 0.814648 loss_bbox: 0.294385 loss_dfl: 0.191508 loss: 1.316756 eta: 1 day, 16:46:28 batch_cost: 2.4041 data_cost: 0.0014 ips: 23.2940 images/s [10/21 17:13:31] ppdet.engine INFO: Epoch: [60] [ 40/261] learning_rate: 0.271211 loss_vfl: 0.782526 loss_bbox: 0.308701 loss_dfl: 0.194683 loss: 1.290532 eta: 1 day, 16:45:31 batch_cost: 2.2167 data_cost: 0.0013 ips: 25.2623 images/s [10/21 17:14:21] ppdet.engine INFO: Epoch: [60] [ 60/261] learning_rate: 0.271140 loss_vfl: 0.804739 loss_bbox: 0.296017 loss_dfl: 0.193712 loss: 1.292004 eta: 1 day, 16:44:48 batch_cost: 2.3940 data_cost: 0.0013 ips: 23.3915 images/s [10/21 17:15:11] ppdet.engine INFO: Epoch: [60] [ 80/261] learning_rate: 0.271069 loss_vfl: 0.788040 loss_bbox: 0.287437 loss_dfl: 0.192790 loss: 1.284585 eta: 1 day, 16:44:01 batch_cost: 2.3508 data_cost: 0.0014 ips: 23.8212 images/s [10/21 17:16:00] ppdet.engine INFO: Epoch: [60] [100/261] learning_rate: 0.270998 loss_vfl: 0.797851 loss_bbox: 0.298732 loss_dfl: 0.192679 loss: 1.276007 eta: 1 day, 16:43:07 batch_cost: 2.2497 data_cost: 0.0013 ips: 24.8922 images/s [10/21 17:16:48] ppdet.engine INFO: Epoch: [60] [120/261] learning_rate: 0.270927 loss_vfl: 0.792417 loss_bbox: 0.288183 loss_dfl: 0.194105 loss: 1.286757 eta: 1 day, 16:42:12 batch_cost: 2.2386 data_cost: 0.0014 ips: 25.0157 images/s [10/21 17:17:36] ppdet.engine INFO: Epoch: [60] [140/261] learning_rate: 0.270855 loss_vfl: 0.798313 loss_bbox: 0.314426 loss_dfl: 0.198199 loss: 1.300898 eta: 1 day, 16:41:21 batch_cost: 2.2979 data_cost: 0.0012 ips: 24.3698 images/s [10/21 17:18:24] ppdet.engine INFO: Epoch: [60] [160/261] learning_rate: 0.270784 loss_vfl: 0.788068 loss_bbox: 0.302937 loss_dfl: 0.188190 loss: 1.261505 eta: 1 day, 16:40:30 batch_cost: 2.2886 data_cost: 0.0013 ips: 24.4693 images/s [10/21 17:19:11] ppdet.engine INFO: Epoch: [60] [180/261] learning_rate: 0.270713 loss_vfl: 0.786687 loss_bbox: 0.299885 loss_dfl: 0.195917 loss: 1.283578 eta: 1 day, 16:39:31 batch_cost: 2.1950 data_cost: 0.0013 ips: 25.5127 images/s [10/21 17:20:01] ppdet.engine INFO: Epoch: [60] [200/261] learning_rate: 0.270641 loss_vfl: 0.772515 loss_bbox: 0.306763 loss_dfl: 0.200131 loss: 1.291600 eta: 1 day, 16:38:40 batch_cost: 2.2894 data_cost: 0.0013 ips: 24.4602 images/s [10/21 17:20:47] ppdet.engine INFO: Epoch: [60] [220/261] learning_rate: 0.270570 loss_vfl: 0.805778 loss_bbox: 0.277956 loss_dfl: 0.181672 loss: 1.282261 eta: 1 day, 16:37:39 batch_cost: 2.1569 data_cost: 0.0013 ips: 25.9630 images/s [10/21 17:21:36] ppdet.engine INFO: Epoch: [60] [240/261] learning_rate: 0.270498 loss_vfl: 0.812872 loss_bbox: 0.281223 loss_dfl: 0.182730 loss: 1.276737 eta: 1 day, 16:36:46 batch_cost: 2.2647 data_cost: 0.0013 ips: 24.7278 images/s [10/21 17:22:19] ppdet.engine INFO: Epoch: [60] [260/261] learning_rate: 0.270426 loss_vfl: 0.786262 loss_bbox: 0.301984 loss_dfl: 0.196504 loss: 1.278312 eta: 1 day, 16:35:34 batch_cost: 2.0203 data_cost: 0.0012 ips: 27.7192 images/s [10/21 17:22:43] ppdet.engine INFO: Epoch: [61] [ 0/261] learning_rate: 0.270423 loss_vfl: 0.787796 loss_bbox: 0.295264 loss_dfl: 0.195014 loss: 1.271832 eta: 1 day, 16:36:33 batch_cost: 2.7776 data_cost: 0.5020 ips: 20.1614 images/s [10/21 17:23:35] ppdet.engine INFO: Epoch: [61] [ 20/261] learning_rate: 0.270351 loss_vfl: 0.781225 loss_bbox: 0.298000 loss_dfl: 0.194976 loss: 1.278879 eta: 1 day, 16:35:55 batch_cost: 2.4600 data_cost: 0.0013 ips: 22.7642 images/s [10/21 17:24:24] ppdet.engine INFO: Epoch: [61] [ 40/261] learning_rate: 0.270279 loss_vfl: 0.791947 loss_bbox: 0.272881 loss_dfl: 0.184305 loss: 1.267655 eta: 1 day, 16:35:01 batch_cost: 2.2548 data_cost: 0.0013 ips: 24.8358 images/s [10/21 17:25:17] ppdet.engine INFO: Epoch: [61] [ 60/261] learning_rate: 0.270207 loss_vfl: 0.780323 loss_bbox: 0.299432 loss_dfl: 0.197788 loss: 1.285952 eta: 1 day, 16:34:22 batch_cost: 2.4412 data_cost: 0.0013 ips: 22.9397 images/s [10/21 17:26:06] ppdet.engine INFO: Epoch: [61] [ 80/261] learning_rate: 0.270135 loss_vfl: 0.777988 loss_bbox: 0.302478 loss_dfl: 0.199821 loss: 1.282827 eta: 1 day, 16:33:37 batch_cost: 2.3653 data_cost: 0.0013 ips: 23.6753 images/s [10/21 17:26:56] ppdet.engine INFO: Epoch: [61] [100/261] learning_rate: 0.270063 loss_vfl: 0.789078 loss_bbox: 0.279669 loss_dfl: 0.185224 loss: 1.262082 eta: 1 day, 16:32:46 batch_cost: 2.2972 data_cost: 0.0014 ips: 24.3778 images/s [10/21 17:27:44] ppdet.engine INFO: Epoch: [61] [120/261] learning_rate: 0.269991 loss_vfl: 0.780990 loss_bbox: 0.290075 loss_dfl: 0.190369 loss: 1.278977 eta: 1 day, 16:31:53 batch_cost: 2.2615 data_cost: 0.0013 ips: 24.7621 images/s [10/21 17:28:34] ppdet.engine INFO: Epoch: [61] [140/261] learning_rate: 0.269918 loss_vfl: 0.786367 loss_bbox: 0.289301 loss_dfl: 0.187866 loss: 1.269846 eta: 1 day, 16:31:02 batch_cost: 2.2886 data_cost: 0.0014 ips: 24.4694 images/s [10/21 17:29:23] ppdet.engine INFO: Epoch: [61] [160/261] learning_rate: 0.269846 loss_vfl: 0.778077 loss_bbox: 0.289828 loss_dfl: 0.183713 loss: 1.266110 eta: 1 day, 16:30:15 batch_cost: 2.3477 data_cost: 0.0014 ips: 23.8536 images/s [10/21 17:30:12] ppdet.engine INFO: Epoch: [61] [180/261] learning_rate: 0.269774 loss_vfl: 0.804713 loss_bbox: 0.301958 loss_dfl: 0.196015 loss: 1.302262 eta: 1 day, 16:29:26 batch_cost: 2.3095 data_cost: 0.0013 ips: 24.2475 images/s [10/21 17:31:00] ppdet.engine INFO: Epoch: [61] [200/261] learning_rate: 0.269701 loss_vfl: 0.777012 loss_bbox: 0.292741 loss_dfl: 0.190693 loss: 1.272003 eta: 1 day, 16:28:34 batch_cost: 2.2877 data_cost: 0.0012 ips: 24.4785 images/s [10/21 17:31:49] ppdet.engine INFO: Epoch: [61] [220/261] learning_rate: 0.269629 loss_vfl: 0.800809 loss_bbox: 0.296457 loss_dfl: 0.193409 loss: 1.283706 eta: 1 day, 16:27:49 batch_cost: 2.3674 data_cost: 0.0013 ips: 23.6551 images/s [10/21 17:32:38] ppdet.engine INFO: Epoch: [61] [240/261] learning_rate: 0.269556 loss_vfl: 0.776850 loss_bbox: 0.303486 loss_dfl: 0.194489 loss: 1.269731 eta: 1 day, 16:26:57 batch_cost: 2.2775 data_cost: 0.0013 ips: 24.5884 images/s [10/21 17:33:22] ppdet.engine INFO: Epoch: [61] [260/261] learning_rate: 0.269483 loss_vfl: 0.817161 loss_bbox: 0.294796 loss_dfl: 0.194570 loss: 1.277314 eta: 1 day, 16:25:53 batch_cost: 2.1145 data_cost: 0.0015 ips: 26.4835 images/s [10/21 17:33:45] ppdet.engine INFO: Epoch: [62] [ 0/261] learning_rate: 0.269479 loss_vfl: 0.817161 loss_bbox: 0.292997 loss_dfl: 0.194570 loss: 1.277314 eta: 1 day, 16:26:44 batch_cost: 2.8267 data_cost: 0.4529 ips: 19.8108 images/s [10/21 17:34:38] ppdet.engine INFO: Epoch: [62] [ 20/261] learning_rate: 0.269407 loss_vfl: 0.787911 loss_bbox: 0.274333 loss_dfl: 0.181927 loss: 1.244429 eta: 1 day, 16:26:05 batch_cost: 2.4449 data_cost: 0.0014 ips: 22.9044 images/s [10/21 17:35:26] ppdet.engine INFO: Epoch: [62] [ 40/261] learning_rate: 0.269334 loss_vfl: 0.797115 loss_bbox: 0.300831 loss_dfl: 0.194681 loss: 1.307695 eta: 1 day, 16:25:16 batch_cost: 2.3101 data_cost: 0.0013 ips: 24.2419 images/s [10/21 17:36:15] ppdet.engine INFO: Epoch: [62] [ 60/261] learning_rate: 0.269261 loss_vfl: 0.789666 loss_bbox: 0.301337 loss_dfl: 0.195275 loss: 1.276004 eta: 1 day, 16:24:29 batch_cost: 2.3445 data_cost: 0.0014 ips: 23.8852 images/s [10/21 17:37:05] ppdet.engine INFO: Epoch: [62] [ 80/261] learning_rate: 0.269188 loss_vfl: 0.773927 loss_bbox: 0.273784 loss_dfl: 0.184663 loss: 1.236124 eta: 1 day, 16:23:37 batch_cost: 2.2831 data_cost: 0.0013 ips: 24.5284 images/s [10/21 17:37:55] ppdet.engine INFO: Epoch: [62] [100/261] learning_rate: 0.269115 loss_vfl: 0.786342 loss_bbox: 0.293503 loss_dfl: 0.190599 loss: 1.266755 eta: 1 day, 16:22:57 batch_cost: 2.4283 data_cost: 0.0013 ips: 23.0611 images/s [10/21 17:38:45] ppdet.engine INFO: Epoch: [62] [120/261] learning_rate: 0.269041 loss_vfl: 0.797643 loss_bbox: 0.277836 loss_dfl: 0.181973 loss: 1.266565 eta: 1 day, 16:22:14 batch_cost: 2.3950 data_cost: 0.0013 ips: 23.3822 images/s [10/21 17:39:35] ppdet.engine INFO: Epoch: [62] [140/261] learning_rate: 0.268968 loss_vfl: 0.798022 loss_bbox: 0.312763 loss_dfl: 0.195389 loss: 1.282698 eta: 1 day, 16:21:28 batch_cost: 2.3574 data_cost: 0.0013 ips: 23.7545 images/s [10/21 17:40:23] ppdet.engine INFO: Epoch: [62] [160/261] learning_rate: 0.268895 loss_vfl: 0.796764 loss_bbox: 0.306058 loss_dfl: 0.195901 loss: 1.288779 eta: 1 day, 16:20:30 batch_cost: 2.1951 data_cost: 0.0013 ips: 25.5116 images/s [10/21 17:41:12] ppdet.engine INFO: Epoch: [62] [180/261] learning_rate: 0.268821 loss_vfl: 0.796103 loss_bbox: 0.286430 loss_dfl: 0.184878 loss: 1.275711 eta: 1 day, 16:19:39 batch_cost: 2.2924 data_cost: 0.0013 ips: 24.4287 images/s [10/21 17:42:04] ppdet.engine INFO: Epoch: [62] [200/261] learning_rate: 0.268748 loss_vfl: 0.764380 loss_bbox: 0.301836 loss_dfl: 0.191245 loss: 1.259984 eta: 1 day, 16:18:59 batch_cost: 2.4423 data_cost: 0.0013 ips: 22.9296 images/s [10/21 17:42:53] ppdet.engine INFO: Epoch: [62] [220/261] learning_rate: 0.268674 loss_vfl: 0.776662 loss_bbox: 0.277442 loss_dfl: 0.182540 loss: 1.234896 eta: 1 day, 16:18:11 batch_cost: 2.3204 data_cost: 0.0013 ips: 24.1336 images/s [10/21 17:43:41] ppdet.engine INFO: Epoch: [62] [240/261] learning_rate: 0.268601 loss_vfl: 0.808339 loss_bbox: 0.304876 loss_dfl: 0.194043 loss: 1.324768 eta: 1 day, 16:17:17 batch_cost: 2.2522 data_cost: 0.0013 ips: 24.8642 images/s [10/21 17:44:23] ppdet.engine INFO: Epoch: [62] [260/261] learning_rate: 0.268527 loss_vfl: 0.790308 loss_bbox: 0.294890 loss_dfl: 0.186510 loss: 1.268180 eta: 1 day, 16:16:06 batch_cost: 2.0171 data_cost: 0.0012 ips: 27.7633 images/s [10/21 17:44:45] ppdet.engine INFO: Epoch: [63] [ 0/261] learning_rate: 0.268523 loss_vfl: 0.790308 loss_bbox: 0.301035 loss_dfl: 0.187260 loss: 1.269697 eta: 1 day, 16:16:56 batch_cost: 2.6789 data_cost: 0.3080 ips: 20.9040 images/s [10/21 17:45:37] ppdet.engine INFO: Epoch: [63] [ 20/261] learning_rate: 0.268449 loss_vfl: 0.779643 loss_bbox: 0.282329 loss_dfl: 0.181016 loss: 1.252116 eta: 1 day, 16:16:12 batch_cost: 2.3894 data_cost: 0.0015 ips: 23.4365 images/s [10/21 17:46:29] ppdet.engine INFO: Epoch: [63] [ 40/261] learning_rate: 0.268376 loss_vfl: 0.774151 loss_bbox: 0.284455 loss_dfl: 0.190532 loss: 1.263130 eta: 1 day, 16:15:34 batch_cost: 2.4652 data_cost: 0.0013 ips: 22.7164 images/s [10/21 17:47:16] ppdet.engine INFO: Epoch: [63] [ 60/261] learning_rate: 0.268302 loss_vfl: 0.799371 loss_bbox: 0.285874 loss_dfl: 0.189733 loss: 1.283321 eta: 1 day, 16:14:36 batch_cost: 2.1859 data_cost: 0.0013 ips: 25.6191 images/s [10/21 17:48:06] ppdet.engine INFO: Epoch: [63] [ 80/261] learning_rate: 0.268228 loss_vfl: 0.791547 loss_bbox: 0.289980 loss_dfl: 0.187168 loss: 1.254760 eta: 1 day, 16:13:51 batch_cost: 2.3766 data_cost: 0.0013 ips: 23.5627 images/s [10/21 17:48:54] ppdet.engine INFO: Epoch: [63] [100/261] learning_rate: 0.268153 loss_vfl: 0.784344 loss_bbox: 0.297887 loss_dfl: 0.189326 loss: 1.273093 eta: 1 day, 16:13:00 batch_cost: 2.2885 data_cost: 0.0013 ips: 24.4699 images/s [10/21 17:49:43] ppdet.engine INFO: Epoch: [63] [120/261] learning_rate: 0.268079 loss_vfl: 0.789321 loss_bbox: 0.327191 loss_dfl: 0.198422 loss: 1.322183 eta: 1 day, 16:12:11 batch_cost: 2.3203 data_cost: 0.0013 ips: 24.1349 images/s [10/21 17:50:31] ppdet.engine INFO: Epoch: [63] [140/261] learning_rate: 0.268005 loss_vfl: 0.799476 loss_bbox: 0.287723 loss_dfl: 0.187699 loss: 1.257122 eta: 1 day, 16:11:20 batch_cost: 2.2787 data_cost: 0.0014 ips: 24.5756 images/s [10/21 17:51:20] ppdet.engine INFO: Epoch: [63] [160/261] learning_rate: 0.267931 loss_vfl: 0.796697 loss_bbox: 0.282825 loss_dfl: 0.187576 loss: 1.261046 eta: 1 day, 16:10:34 batch_cost: 2.3652 data_cost: 0.0013 ips: 23.6770 images/s [10/21 17:52:07] ppdet.engine INFO: Epoch: [63] [180/261] learning_rate: 0.267856 loss_vfl: 0.808761 loss_bbox: 0.290963 loss_dfl: 0.190524 loss: 1.272338 eta: 1 day, 16:09:31 batch_cost: 2.1192 data_cost: 0.0013 ips: 26.4256 images/s [10/21 17:52:56] ppdet.engine INFO: Epoch: [63] [200/261] learning_rate: 0.267782 loss_vfl: 0.797692 loss_bbox: 0.306930 loss_dfl: 0.193830 loss: 1.287344 eta: 1 day, 16:08:34 batch_cost: 2.2179 data_cost: 0.0013 ips: 25.2494 images/s [10/21 17:53:47] ppdet.engine INFO: Epoch: [63] [220/261] learning_rate: 0.267707 loss_vfl: 0.773180 loss_bbox: 0.301786 loss_dfl: 0.191292 loss: 1.273189 eta: 1 day, 16:07:53 batch_cost: 2.4221 data_cost: 0.0015 ips: 23.1207 images/s [10/21 17:54:36] ppdet.engine INFO: Epoch: [63] [240/261] learning_rate: 0.267632 loss_vfl: 0.787150 loss_bbox: 0.290058 loss_dfl: 0.189301 loss: 1.274866 eta: 1 day, 16:07:02 batch_cost: 2.2884 data_cost: 0.0013 ips: 24.4716 images/s [10/21 17:55:21] ppdet.engine INFO: Epoch: [63] [260/261] learning_rate: 0.267558 loss_vfl: 0.813285 loss_bbox: 0.289606 loss_dfl: 0.193282 loss: 1.300011 eta: 1 day, 16:06:01 batch_cost: 2.1515 data_cost: 0.0012 ips: 26.0280 images/s [10/21 17:55:42] ppdet.engine INFO: Epoch: [64] [ 0/261] learning_rate: 0.267554 loss_vfl: 0.811301 loss_bbox: 0.289606 loss_dfl: 0.192333 loss: 1.297713 eta: 1 day, 16:06:48 batch_cost: 2.8366 data_cost: 0.2893 ips: 19.7421 images/s [10/21 17:56:36] ppdet.engine INFO: Epoch: [64] [ 20/261] learning_rate: 0.267479 loss_vfl: 0.788101 loss_bbox: 0.288084 loss_dfl: 0.192646 loss: 1.293218 eta: 1 day, 16:06:17 batch_cost: 2.5501 data_cost: 0.0013 ips: 21.9598 images/s [10/21 17:57:24] ppdet.engine INFO: Epoch: [64] [ 40/261] learning_rate: 0.267404 loss_vfl: 0.798166 loss_bbox: 0.297017 loss_dfl: 0.188081 loss: 1.271788 eta: 1 day, 16:05:28 batch_cost: 2.3226 data_cost: 0.0014 ips: 24.1108 images/s [10/21 17:58:13] ppdet.engine INFO: Epoch: [64] [ 60/261] learning_rate: 0.267329 loss_vfl: 0.794462 loss_bbox: 0.299766 loss_dfl: 0.190216 loss: 1.274781 eta: 1 day, 16:04:37 batch_cost: 2.2903 data_cost: 0.0014 ips: 24.4510 images/s [10/21 17:59:02] ppdet.engine INFO: Epoch: [64] [ 80/261] learning_rate: 0.267254 loss_vfl: 0.776375 loss_bbox: 0.309541 loss_dfl: 0.192664 loss: 1.291162 eta: 1 day, 16:03:48 batch_cost: 2.3079 data_cost: 0.0013 ips: 24.2642 images/s [10/21 17:59:52] ppdet.engine INFO: Epoch: [64] [100/261] learning_rate: 0.267179 loss_vfl: 0.793949 loss_bbox: 0.304155 loss_dfl: 0.194943 loss: 1.295088 eta: 1 day, 16:03:04 batch_cost: 2.3907 data_cost: 0.0013 ips: 23.4240 images/s [10/21 18:00:40] ppdet.engine INFO: Epoch: [64] [120/261] learning_rate: 0.267104 loss_vfl: 0.800653 loss_bbox: 0.276373 loss_dfl: 0.187161 loss: 1.241754 eta: 1 day, 16:02:12 batch_cost: 2.2673 data_cost: 0.0013 ips: 24.6985 images/s [10/21 18:01:27] ppdet.engine INFO: Epoch: [64] [140/261] learning_rate: 0.267029 loss_vfl: 0.803444 loss_bbox: 0.305443 loss_dfl: 0.198610 loss: 1.305244 eta: 1 day, 16:01:17 batch_cost: 2.2398 data_cost: 0.0015 ips: 25.0023 images/s [10/21 18:02:13] ppdet.engine INFO: Epoch: [64] [160/261] learning_rate: 0.266953 loss_vfl: 0.779701 loss_bbox: 0.290467 loss_dfl: 0.195454 loss: 1.286254 eta: 1 day, 16:00:18 batch_cost: 2.1788 data_cost: 0.0013 ips: 25.7024 images/s [10/21 18:03:01] ppdet.engine INFO: Epoch: [64] [180/261] learning_rate: 0.266878 loss_vfl: 0.805501 loss_bbox: 0.289323 loss_dfl: 0.188635 loss: 1.286443 eta: 1 day, 15:59:26 batch_cost: 2.2748 data_cost: 0.0013 ips: 24.6170 images/s [10/21 18:03:48] ppdet.engine INFO: Epoch: [64] [200/261] learning_rate: 0.266803 loss_vfl: 0.794048 loss_bbox: 0.291052 loss_dfl: 0.190970 loss: 1.279742 eta: 1 day, 15:58:31 batch_cost: 2.2296 data_cost: 0.0014 ips: 25.1162 images/s [10/21 18:04:38] ppdet.engine INFO: Epoch: [64] [220/261] learning_rate: 0.266727 loss_vfl: 0.797316 loss_bbox: 0.301925 loss_dfl: 0.194219 loss: 1.302273 eta: 1 day, 15:57:44 batch_cost: 2.3439 data_cost: 0.0013 ips: 23.8919 images/s [10/21 18:05:24] ppdet.engine INFO: Epoch: [64] [240/261] learning_rate: 0.266651 loss_vfl: 0.779791 loss_bbox: 0.298911 loss_dfl: 0.193481 loss: 1.278365 eta: 1 day, 15:56:44 batch_cost: 2.1622 data_cost: 0.0014 ips: 25.8998 images/s [10/21 18:06:07] ppdet.engine INFO: Epoch: [64] [260/261] learning_rate: 0.266576 loss_vfl: 0.782882 loss_bbox: 0.283817 loss_dfl: 0.187553 loss: 1.248084 eta: 1 day, 15:55:35 batch_cost: 2.0372 data_cost: 0.0012 ips: 27.4886 images/s [10/21 18:06:31] ppdet.engine INFO: Epoch: [65] [ 0/261] learning_rate: 0.266572 loss_vfl: 0.782882 loss_bbox: 0.283817 loss_dfl: 0.187553 loss: 1.248084 eta: 1 day, 15:56:29 batch_cost: 2.7909 data_cost: 0.2114 ips: 20.0652 images/s [10/21 18:07:22] ppdet.engine INFO: Epoch: [65] [ 20/261] learning_rate: 0.266496 loss_vfl: 0.786963 loss_bbox: 0.306115 loss_dfl: 0.194970 loss: 1.284371 eta: 1 day, 15:55:47 batch_cost: 2.4088 data_cost: 0.0014 ips: 23.2480 images/s [10/21 18:08:11] ppdet.engine INFO: Epoch: [65] [ 40/261] learning_rate: 0.266420 loss_vfl: 0.771225 loss_bbox: 0.283843 loss_dfl: 0.183367 loss: 1.240048 eta: 1 day, 15:54:58 batch_cost: 2.3174 data_cost: 0.0013 ips: 24.1649 images/s [10/21 18:09:01] ppdet.engine INFO: Epoch: [65] [ 60/261] learning_rate: 0.266344 loss_vfl: 0.792239 loss_bbox: 0.287528 loss_dfl: 0.189328 loss: 1.267508 eta: 1 day, 15:54:14 batch_cost: 2.3873 data_cost: 0.0013 ips: 23.4572 images/s [10/21 18:09:50] ppdet.engine INFO: Epoch: [65] [ 80/261] learning_rate: 0.266268 loss_vfl: 0.783319 loss_bbox: 0.297034 loss_dfl: 0.196210 loss: 1.293792 eta: 1 day, 15:53:25 batch_cost: 2.3126 data_cost: 0.0013 ips: 24.2150 images/s [10/21 18:10:37] ppdet.engine INFO: Epoch: [65] [100/261] learning_rate: 0.266192 loss_vfl: 0.789916 loss_bbox: 0.304435 loss_dfl: 0.189321 loss: 1.297645 eta: 1 day, 15:52:27 batch_cost: 2.1961 data_cost: 0.0013 ips: 25.4994 images/s [10/21 18:11:27] ppdet.engine INFO: Epoch: [65] [120/261] learning_rate: 0.266116 loss_vfl: 0.784037 loss_bbox: 0.296385 loss_dfl: 0.191352 loss: 1.275481 eta: 1 day, 15:51:42 batch_cost: 2.3590 data_cost: 0.0013 ips: 23.7393 images/s [10/21 18:12:15] ppdet.engine INFO: Epoch: [65] [140/261] learning_rate: 0.266040 loss_vfl: 0.798208 loss_bbox: 0.285573 loss_dfl: 0.183492 loss: 1.267019 eta: 1 day, 15:50:51 batch_cost: 2.2916 data_cost: 0.0014 ips: 24.4366 images/s [10/21 18:13:05] ppdet.engine INFO: Epoch: [65] [160/261] learning_rate: 0.265963 loss_vfl: 0.792899 loss_bbox: 0.304192 loss_dfl: 0.195082 loss: 1.280500 eta: 1 day, 15:50:02 batch_cost: 2.3215 data_cost: 0.0014 ips: 24.1226 images/s [10/21 18:13:53] ppdet.engine INFO: Epoch: [65] [180/261] learning_rate: 0.265887 loss_vfl: 0.788265 loss_bbox: 0.279633 loss_dfl: 0.187736 loss: 1.247906 eta: 1 day, 15:49:08 batch_cost: 2.2358 data_cost: 0.0013 ips: 25.0469 images/s [10/21 18:14:42] ppdet.engine INFO: Epoch: [65] [200/261] learning_rate: 0.265811 loss_vfl: 0.793423 loss_bbox: 0.284489 loss_dfl: 0.191262 loss: 1.276113 eta: 1 day, 15:48:19 batch_cost: 2.3214 data_cost: 0.0013 ips: 24.1231 images/s [10/21 18:15:30] ppdet.engine INFO: Epoch: [65] [220/261] learning_rate: 0.265734 loss_vfl: 0.779043 loss_bbox: 0.299829 loss_dfl: 0.190810 loss: 1.284528 eta: 1 day, 15:47:24 batch_cost: 2.2224 data_cost: 0.0013 ips: 25.1980 images/s [10/21 18:16:15] ppdet.engine INFO: Epoch: [65] [240/261] learning_rate: 0.265658 loss_vfl: 0.809585 loss_bbox: 0.304633 loss_dfl: 0.191448 loss: 1.309858 eta: 1 day, 15:46:27 batch_cost: 2.2004 data_cost: 0.0013 ips: 25.4502 images/s [10/21 18:17:02] ppdet.engine INFO: Epoch: [65] [260/261] learning_rate: 0.265581 loss_vfl: 0.793993 loss_bbox: 0.303986 loss_dfl: 0.194751 loss: 1.297221 eta: 1 day, 15:45:31 batch_cost: 2.2201 data_cost: 0.0011 ips: 25.2246 images/s [10/21 18:17:27] ppdet.engine INFO: Epoch: [66] [ 0/261] learning_rate: 0.265577 loss_vfl: 0.786929 loss_bbox: 0.303986 loss_dfl: 0.196377 loss: 1.295655 eta: 1 day, 15:46:31 batch_cost: 3.0923 data_cost: 0.4781 ips: 18.1097 images/s [10/21 18:18:23] ppdet.engine INFO: Epoch: [66] [ 20/261] learning_rate: 0.265500 loss_vfl: 0.788966 loss_bbox: 0.283875 loss_dfl: 0.193621 loss: 1.279865 eta: 1 day, 15:46:03 batch_cost: 2.6129 data_cost: 0.0013 ips: 21.4320 images/s [10/21 18:19:11] ppdet.engine INFO: Epoch: [66] [ 40/261] learning_rate: 0.265423 loss_vfl: 0.783493 loss_bbox: 0.296722 loss_dfl: 0.194473 loss: 1.283363 eta: 1 day, 15:45:08 batch_cost: 2.2265 data_cost: 0.0013 ips: 25.1520 images/s [10/21 18:20:00] ppdet.engine INFO: Epoch: [66] [ 60/261] learning_rate: 0.265346 loss_vfl: 0.793537 loss_bbox: 0.302772 loss_dfl: 0.192464 loss: 1.280779 eta: 1 day, 15:44:17 batch_cost: 2.2881 data_cost: 0.0013 ips: 24.4741 images/s [10/21 18:20:49] ppdet.engine INFO: Epoch: [66] [ 80/261] learning_rate: 0.265269 loss_vfl: 0.777871 loss_bbox: 0.305381 loss_dfl: 0.191268 loss: 1.263328 eta: 1 day, 15:43:30 batch_cost: 2.3396 data_cost: 0.0014 ips: 23.9360 images/s [10/21 18:21:39] ppdet.engine INFO: Epoch: [66] [100/261] learning_rate: 0.265192 loss_vfl: 0.775947 loss_bbox: 0.288737 loss_dfl: 0.184310 loss: 1.255965 eta: 1 day, 15:42:43 batch_cost: 2.3489 data_cost: 0.0014 ips: 23.8406 images/s [10/21 18:22:30] ppdet.engine INFO: Epoch: [66] [120/261] learning_rate: 0.265115 loss_vfl: 0.796693 loss_bbox: 0.305561 loss_dfl: 0.199226 loss: 1.281124 eta: 1 day, 15:41:58 batch_cost: 2.3681 data_cost: 0.0014 ips: 23.6475 images/s [10/21 18:23:19] ppdet.engine INFO: Epoch: [66] [140/261] learning_rate: 0.265038 loss_vfl: 0.785687 loss_bbox: 0.293655 loss_dfl: 0.194187 loss: 1.285106 eta: 1 day, 15:41:14 batch_cost: 2.3798 data_cost: 0.0013 ips: 23.5318 images/s [10/21 18:24:08] ppdet.engine INFO: Epoch: [66] [160/261] learning_rate: 0.264961 loss_vfl: 0.787261 loss_bbox: 0.284822 loss_dfl: 0.188790 loss: 1.254355 eta: 1 day, 15:40:22 batch_cost: 2.2800 data_cost: 0.0014 ips: 24.5616 images/s [10/21 18:24:56] ppdet.engine INFO: Epoch: [66] [180/261] learning_rate: 0.264883 loss_vfl: 0.800112 loss_bbox: 0.296487 loss_dfl: 0.187565 loss: 1.288422 eta: 1 day, 15:39:28 batch_cost: 2.2428 data_cost: 0.0013 ips: 24.9691 images/s [10/21 18:25:47] ppdet.engine INFO: Epoch: [66] [200/261] learning_rate: 0.264806 loss_vfl: 0.789345 loss_bbox: 0.282906 loss_dfl: 0.196979 loss: 1.272395 eta: 1 day, 15:38:49 batch_cost: 2.4591 data_cost: 0.0013 ips: 22.7722 images/s [10/21 18:26:36] ppdet.engine INFO: Epoch: [66] [220/261] learning_rate: 0.264729 loss_vfl: 0.793607 loss_bbox: 0.295050 loss_dfl: 0.197941 loss: 1.276992 eta: 1 day, 15:37:58 batch_cost: 2.2885 data_cost: 0.0013 ips: 24.4707 images/s [10/21 18:27:24] ppdet.engine INFO: Epoch: [66] [240/261] learning_rate: 0.264651 loss_vfl: 0.794699 loss_bbox: 0.285483 loss_dfl: 0.189365 loss: 1.277558 eta: 1 day, 15:37:09 batch_cost: 2.3074 data_cost: 0.0012 ips: 24.2702 images/s [10/21 18:28:07] ppdet.engine INFO: Epoch: [66] [260/261] learning_rate: 0.264573 loss_vfl: 0.805108 loss_bbox: 0.277812 loss_dfl: 0.191882 loss: 1.262095 eta: 1 day, 15:36:01 batch_cost: 2.0422 data_cost: 0.0012 ips: 27.4211 images/s [10/21 18:28:32] ppdet.engine INFO: Epoch: [67] [ 0/261] learning_rate: 0.264569 loss_vfl: 0.797869 loss_bbox: 0.277812 loss_dfl: 0.190141 loss: 1.254800 eta: 1 day, 15:36:58 batch_cost: 2.9032 data_cost: 0.2609 ips: 19.2890 images/s [10/21 18:29:27] ppdet.engine INFO: Epoch: [67] [ 20/261] learning_rate: 0.264492 loss_vfl: 0.777065 loss_bbox: 0.302422 loss_dfl: 0.192696 loss: 1.266419 eta: 1 day, 15:36:31 batch_cost: 2.6368 data_cost: 0.0014 ips: 21.2376 images/s [10/21 18:30:13] ppdet.engine INFO: Epoch: [67] [ 40/261] learning_rate: 0.264414 loss_vfl: 0.786301 loss_bbox: 0.314726 loss_dfl: 0.198172 loss: 1.297347 eta: 1 day, 15:35:28 batch_cost: 2.1035 data_cost: 0.0013 ips: 26.6220 images/s [10/21 18:31:01] ppdet.engine INFO: Epoch: [67] [ 60/261] learning_rate: 0.264336 loss_vfl: 0.783679 loss_bbox: 0.299166 loss_dfl: 0.194786 loss: 1.283405 eta: 1 day, 15:34:33 batch_cost: 2.2342 data_cost: 0.0013 ips: 25.0647 images/s [10/21 18:31:51] ppdet.engine INFO: Epoch: [67] [ 80/261] learning_rate: 0.264258 loss_vfl: 0.787716 loss_bbox: 0.304571 loss_dfl: 0.197744 loss: 1.291443 eta: 1 day, 15:33:48 batch_cost: 2.3695 data_cost: 0.0013 ips: 23.6339 images/s [10/21 18:32:41] ppdet.engine INFO: Epoch: [67] [100/261] learning_rate: 0.264180 loss_vfl: 0.773735 loss_bbox: 0.303819 loss_dfl: 0.193112 loss: 1.267656 eta: 1 day, 15:32:58 batch_cost: 2.3097 data_cost: 0.0013 ips: 24.2457 images/s [10/21 18:33:31] ppdet.engine INFO: Epoch: [67] [120/261] learning_rate: 0.264102 loss_vfl: 0.776668 loss_bbox: 0.280445 loss_dfl: 0.189630 loss: 1.258687 eta: 1 day, 15:32:14 batch_cost: 2.3786 data_cost: 0.0014 ips: 23.5435 images/s [10/21 18:34:20] ppdet.engine INFO: Epoch: [67] [140/261] learning_rate: 0.264024 loss_vfl: 0.781808 loss_bbox: 0.277417 loss_dfl: 0.176182 loss: 1.261560 eta: 1 day, 15:31:25 batch_cost: 2.3188 data_cost: 0.0013 ips: 24.1500 images/s [10/21 18:35:06] ppdet.engine INFO: Epoch: [67] [160/261] learning_rate: 0.263946 loss_vfl: 0.784013 loss_bbox: 0.283427 loss_dfl: 0.182870 loss: 1.239037 eta: 1 day, 15:30:28 batch_cost: 2.1933 data_cost: 0.0013 ips: 25.5327 images/s [10/21 18:35:55] ppdet.engine INFO: Epoch: [67] [180/261] learning_rate: 0.263867 loss_vfl: 0.788626 loss_bbox: 0.288652 loss_dfl: 0.186259 loss: 1.267957 eta: 1 day, 15:29:40 batch_cost: 2.3335 data_cost: 0.0013 ips: 23.9979 images/s [10/21 18:36:42] ppdet.engine INFO: Epoch: [67] [200/261] learning_rate: 0.263789 loss_vfl: 0.791112 loss_bbox: 0.301625 loss_dfl: 0.192047 loss: 1.294847 eta: 1 day, 15:28:38 batch_cost: 2.1290 data_cost: 0.0014 ips: 26.3036 images/s [10/21 18:37:29] ppdet.engine INFO: Epoch: [67] [220/261] learning_rate: 0.263710 loss_vfl: 0.770940 loss_bbox: 0.302913 loss_dfl: 0.189778 loss: 1.274167 eta: 1 day, 15:27:38 batch_cost: 2.1511 data_cost: 0.0013 ips: 26.0332 images/s [10/21 18:38:17] ppdet.engine INFO: Epoch: [67] [240/261] learning_rate: 0.263632 loss_vfl: 0.785342 loss_bbox: 0.284006 loss_dfl: 0.191807 loss: 1.259141 eta: 1 day, 15:26:45 batch_cost: 2.2512 data_cost: 0.0014 ips: 24.8753 images/s [10/21 18:39:01] ppdet.engine INFO: Epoch: [67] [260/261] learning_rate: 0.263553 loss_vfl: 0.791488 loss_bbox: 0.292643 loss_dfl: 0.194347 loss: 1.280271 eta: 1 day, 15:25:38 batch_cost: 2.0486 data_cost: 0.0011 ips: 27.3356 images/s [10/21 18:39:26] ppdet.engine INFO: Epoch: [68] [ 0/261] learning_rate: 0.263549 loss_vfl: 0.791488 loss_bbox: 0.292643 loss_dfl: 0.194347 loss: 1.292845 eta: 1 day, 15:26:35 batch_cost: 2.8844 data_cost: 0.3285 ips: 19.4150 images/s [10/21 18:40:21] ppdet.engine INFO: Epoch: [68] [ 20/261] learning_rate: 0.263471 loss_vfl: 0.777497 loss_bbox: 0.305949 loss_dfl: 0.192318 loss: 1.295520 eta: 1 day, 15:26:04 batch_cost: 2.5782 data_cost: 0.0013 ips: 21.7205 images/s [10/21 18:41:10] ppdet.engine INFO: Epoch: [68] [ 40/261] learning_rate: 0.263392 loss_vfl: 0.770644 loss_bbox: 0.270881 loss_dfl: 0.180082 loss: 1.264642 eta: 1 day, 15:25:14 batch_cost: 2.2890 data_cost: 0.0013 ips: 24.4643 images/s [10/21 18:41:59] ppdet.engine INFO: Epoch: [68] [ 60/261] learning_rate: 0.263313 loss_vfl: 0.774969 loss_bbox: 0.302391 loss_dfl: 0.190762 loss: 1.279320 eta: 1 day, 15:24:27 batch_cost: 2.3543 data_cost: 0.0013 ips: 23.7865 images/s [10/21 18:42:48] ppdet.engine INFO: Epoch: [68] [ 80/261] learning_rate: 0.263234 loss_vfl: 0.779919 loss_bbox: 0.288243 loss_dfl: 0.185856 loss: 1.259362 eta: 1 day, 15:23:36 batch_cost: 2.2853 data_cost: 0.0013 ips: 24.5047 images/s [10/21 18:43:39] ppdet.engine INFO: Epoch: [68] [100/261] learning_rate: 0.263155 loss_vfl: 0.791612 loss_bbox: 0.296001 loss_dfl: 0.194851 loss: 1.291104 eta: 1 day, 15:22:45 batch_cost: 2.2756 data_cost: 0.0013 ips: 24.6086 images/s [10/21 18:44:27] ppdet.engine INFO: Epoch: [68] [120/261] learning_rate: 0.263076 loss_vfl: 0.780257 loss_bbox: 0.297214 loss_dfl: 0.189642 loss: 1.275277 eta: 1 day, 15:21:53 batch_cost: 2.2740 data_cost: 0.0013 ips: 24.6260 images/s [10/21 18:45:16] ppdet.engine INFO: Epoch: [68] [140/261] learning_rate: 0.262997 loss_vfl: 0.789212 loss_bbox: 0.294929 loss_dfl: 0.194517 loss: 1.291124 eta: 1 day, 15:21:06 batch_cost: 2.3392 data_cost: 0.0013 ips: 23.9400 images/s [10/21 18:46:05] ppdet.engine INFO: Epoch: [68] [160/261] learning_rate: 0.262918 loss_vfl: 0.777860 loss_bbox: 0.306406 loss_dfl: 0.197748 loss: 1.321957 eta: 1 day, 15:20:18 batch_cost: 2.3348 data_cost: 0.0013 ips: 23.9846 images/s [10/21 18:46:54] ppdet.engine INFO: Epoch: [68] [180/261] learning_rate: 0.262838 loss_vfl: 0.781210 loss_bbox: 0.292047 loss_dfl: 0.186835 loss: 1.251182 eta: 1 day, 15:19:26 batch_cost: 2.2699 data_cost: 0.0013 ips: 24.6705 images/s [10/21 18:47:42] ppdet.engine INFO: Epoch: [68] [200/261] learning_rate: 0.262759 loss_vfl: 0.788244 loss_bbox: 0.290312 loss_dfl: 0.198781 loss: 1.278102 eta: 1 day, 15:18:34 batch_cost: 2.2667 data_cost: 0.0014 ips: 24.7052 images/s [10/21 18:48:30] ppdet.engine INFO: Epoch: [68] [220/261] learning_rate: 0.262680 loss_vfl: 0.809657 loss_bbox: 0.305504 loss_dfl: 0.204030 loss: 1.299451 eta: 1 day, 15:17:43 batch_cost: 2.2790 data_cost: 0.0013 ips: 24.5722 images/s [10/21 18:49:19] ppdet.engine INFO: Epoch: [68] [240/261] learning_rate: 0.262600 loss_vfl: 0.790236 loss_bbox: 0.277487 loss_dfl: 0.181834 loss: 1.256321 eta: 1 day, 15:16:49 batch_cost: 2.2517 data_cost: 0.0015 ips: 24.8701 images/s [10/21 18:50:05] ppdet.engine INFO: Epoch: [68] [260/261] learning_rate: 0.262521 loss_vfl: 0.801119 loss_bbox: 0.289208 loss_dfl: 0.192468 loss: 1.275985 eta: 1 day, 15:15:50 batch_cost: 2.1569 data_cost: 0.0012 ips: 25.9632 images/s [10/21 18:50:27] ppdet.engine INFO: Epoch: [69] [ 0/261] learning_rate: 0.262517 loss_vfl: 0.801119 loss_bbox: 0.285466 loss_dfl: 0.193820 loss: 1.275985 eta: 1 day, 15:16:35 batch_cost: 2.8927 data_cost: 0.4910 ips: 19.3589 images/s [10/21 18:51:22] ppdet.engine INFO: Epoch: [69] [ 20/261] learning_rate: 0.262437 loss_vfl: 0.777376 loss_bbox: 0.289619 loss_dfl: 0.192225 loss: 1.284319 eta: 1 day, 15:16:08 batch_cost: 2.6482 data_cost: 0.0013 ips: 21.1465 images/s [10/21 18:52:10] ppdet.engine INFO: Epoch: [69] [ 40/261] learning_rate: 0.262357 loss_vfl: 0.787990 loss_bbox: 0.298308 loss_dfl: 0.195348 loss: 1.265842 eta: 1 day, 15:15:16 batch_cost: 2.2742 data_cost: 0.0013 ips: 24.6239 images/s [10/21 18:52:57] ppdet.engine INFO: Epoch: [69] [ 60/261] learning_rate: 0.262278 loss_vfl: 0.782876 loss_bbox: 0.281224 loss_dfl: 0.182661 loss: 1.241687 eta: 1 day, 15:14:17 batch_cost: 2.1508 data_cost: 0.0013 ips: 26.0368 images/s [10/21 18:53:45] ppdet.engine INFO: Epoch: [69] [ 80/261] learning_rate: 0.262198 loss_vfl: 0.790736 loss_bbox: 0.307508 loss_dfl: 0.198535 loss: 1.308375 eta: 1 day, 15:13:25 batch_cost: 2.2756 data_cost: 0.0013 ips: 24.6088 images/s [10/21 18:54:33] ppdet.engine INFO: Epoch: [69] [100/261] learning_rate: 0.262118 loss_vfl: 0.785511 loss_bbox: 0.289961 loss_dfl: 0.190717 loss: 1.258338 eta: 1 day, 15:12:28 batch_cost: 2.1980 data_cost: 0.0013 ips: 25.4772 images/s [10/21 18:55:24] ppdet.engine INFO: Epoch: [69] [120/261] learning_rate: 0.262038 loss_vfl: 0.780828 loss_bbox: 0.296141 loss_dfl: 0.186794 loss: 1.254316 eta: 1 day, 15:11:41 batch_cost: 2.3399 data_cost: 0.0014 ips: 23.9328 images/s [10/21 18:56:12] ppdet.engine INFO: Epoch: [69] [140/261] learning_rate: 0.261958 loss_vfl: 0.799501 loss_bbox: 0.293365 loss_dfl: 0.188041 loss: 1.278625 eta: 1 day, 15:10:47 batch_cost: 2.2338 data_cost: 0.0013 ips: 25.0694 images/s [10/21 18:57:01] ppdet.engine INFO: Epoch: [69] [160/261] learning_rate: 0.261878 loss_vfl: 0.782645 loss_bbox: 0.291359 loss_dfl: 0.197103 loss: 1.259950 eta: 1 day, 15:09:57 batch_cost: 2.3072 data_cost: 0.0014 ips: 24.2715 images/s [10/21 18:57:53] ppdet.engine INFO: Epoch: [69] [180/261] learning_rate: 0.261797 loss_vfl: 0.785241 loss_bbox: 0.284642 loss_dfl: 0.184832 loss: 1.279754 eta: 1 day, 15:09:12 batch_cost: 2.3677 data_cost: 0.0014 ips: 23.6513 images/s [10/21 18:58:43] ppdet.engine INFO: Epoch: [69] [200/261] learning_rate: 0.261717 loss_vfl: 0.783891 loss_bbox: 0.282608 loss_dfl: 0.193064 loss: 1.261890 eta: 1 day, 15:08:27 batch_cost: 2.3697 data_cost: 0.0013 ips: 23.6321 images/s [10/21 18:59:29] ppdet.engine INFO: Epoch: [69] [220/261] learning_rate: 0.261637 loss_vfl: 0.772713 loss_bbox: 0.280327 loss_dfl: 0.193279 loss: 1.238194 eta: 1 day, 15:07:25 batch_cost: 2.1234 data_cost: 0.0014 ips: 26.3727 images/s [10/21 19:00:16] ppdet.engine INFO: Epoch: [69] [240/261] learning_rate: 0.261556 loss_vfl: 0.793572 loss_bbox: 0.290191 loss_dfl: 0.191539 loss: 1.281843 eta: 1 day, 15:06:32 batch_cost: 2.2544 data_cost: 0.0013 ips: 24.8398 images/s [10/21 19:01:00] ppdet.engine INFO: Epoch: [69] [260/261] learning_rate: 0.261476 loss_vfl: 0.797015 loss_bbox: 0.280266 loss_dfl: 0.193856 loss: 1.258528 eta: 1 day, 15:05:26 batch_cost: 2.0469 data_cost: 0.0012 ips: 27.3589 images/s [10/21 19:01:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 19:01:06] ppdet.engine INFO: Eval iter: 0 [10/21 19:01:34] ppdet.engine INFO: Eval iter: 100 [10/21 19:01:51] ppdet.engine INFO: Eval iter: 200 [10/21 19:02:07] ppdet.engine INFO: Eval iter: 300 [10/21 19:02:23] ppdet.engine INFO: Eval iter: 400 [10/21 19:02:39] ppdet.engine INFO: Eval iter: 500 [10/21 19:02:56] ppdet.engine INFO: Eval iter: 600 [10/21 19:03:10] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.94s) creating index... index created! [10/21 19:03:11] 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=70.96s). Accumulating evaluation results... DONE (t=12.56s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.346 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.510 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.365 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.135 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.374 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.546 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.297 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.495 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.224 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.559 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.728 [10/21 19:04:41] ppdet.engine INFO: Total sample number: 4952, averge FPS: 43.07067515534973 [10/21 19:04:41] ppdet.engine INFO: Best test bbox ap is 0.346. [10/21 19:04:42] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 19:04:46] ppdet.engine INFO: Epoch: [70] [ 0/261] learning_rate: 0.261472 loss_vfl: 0.797015 loss_bbox: 0.280266 loss_dfl: 0.190425 loss: 1.255003 eta: 1 day, 15:05:28 batch_cost: 2.1341 data_cost: 0.0014 ips: 26.2401 images/s [10/21 19:05:41] ppdet.engine INFO: Epoch: [70] [ 20/261] learning_rate: 0.261391 loss_vfl: 0.770759 loss_bbox: 0.274470 loss_dfl: 0.185082 loss: 1.239343 eta: 1 day, 15:05:02 batch_cost: 2.6652 data_cost: 0.0016 ips: 21.0118 images/s [10/21 19:06:31] ppdet.engine INFO: Epoch: [70] [ 40/261] learning_rate: 0.261310 loss_vfl: 0.799548 loss_bbox: 0.283094 loss_dfl: 0.186025 loss: 1.266376 eta: 1 day, 15:04:15 batch_cost: 2.3452 data_cost: 0.0013 ips: 23.8787 images/s [10/21 19:07:21] ppdet.engine INFO: Epoch: [70] [ 60/261] learning_rate: 0.261230 loss_vfl: 0.786560 loss_bbox: 0.273331 loss_dfl: 0.183879 loss: 1.228361 eta: 1 day, 15:03:30 batch_cost: 2.3730 data_cost: 0.0013 ips: 23.5986 images/s [10/21 19:08:09] ppdet.engine INFO: Epoch: [70] [ 80/261] learning_rate: 0.261149 loss_vfl: 0.765436 loss_bbox: 0.278642 loss_dfl: 0.189813 loss: 1.227404 eta: 1 day, 15:02:37 batch_cost: 2.2567 data_cost: 0.0013 ips: 24.8152 images/s [10/21 19:08:56] ppdet.engine INFO: Epoch: [70] [100/261] learning_rate: 0.261068 loss_vfl: 0.781153 loss_bbox: 0.275773 loss_dfl: 0.183142 loss: 1.232388 eta: 1 day, 15:01:43 batch_cost: 2.2354 data_cost: 0.0014 ips: 25.0515 images/s [10/21 19:09:45] ppdet.engine INFO: Epoch: [70] [120/261] learning_rate: 0.260987 loss_vfl: 0.784483 loss_bbox: 0.271478 loss_dfl: 0.182717 loss: 1.254006 eta: 1 day, 15:00:55 batch_cost: 2.3153 data_cost: 0.0014 ips: 24.1872 images/s [10/21 19:10:37] ppdet.engine INFO: Epoch: [70] [140/261] learning_rate: 0.260906 loss_vfl: 0.762382 loss_bbox: 0.265652 loss_dfl: 0.181891 loss: 1.237652 eta: 1 day, 15:00:16 batch_cost: 2.4695 data_cost: 0.0013 ips: 22.6770 images/s [10/21 19:11:24] ppdet.engine INFO: Epoch: [70] [160/261] learning_rate: 0.260825 loss_vfl: 0.785018 loss_bbox: 0.282682 loss_dfl: 0.191599 loss: 1.261359 eta: 1 day, 14:59:17 batch_cost: 2.1663 data_cost: 0.0015 ips: 25.8501 images/s [10/21 19:12:12] ppdet.engine INFO: Epoch: [70] [180/261] learning_rate: 0.260744 loss_vfl: 0.800201 loss_bbox: 0.278443 loss_dfl: 0.182645 loss: 1.249793 eta: 1 day, 14:58:26 batch_cost: 2.2696 data_cost: 0.0013 ips: 24.6744 images/s [10/21 19:13:01] ppdet.engine INFO: Epoch: [70] [200/261] learning_rate: 0.260663 loss_vfl: 0.775584 loss_bbox: 0.283057 loss_dfl: 0.187968 loss: 1.257165 eta: 1 day, 14:57:38 batch_cost: 2.3402 data_cost: 0.0013 ips: 23.9296 images/s [10/21 19:13:51] ppdet.engine INFO: Epoch: [70] [220/261] learning_rate: 0.260581 loss_vfl: 0.783323 loss_bbox: 0.295947 loss_dfl: 0.197129 loss: 1.274818 eta: 1 day, 14:56:53 batch_cost: 2.3709 data_cost: 0.0013 ips: 23.6193 images/s [10/21 19:14:40] ppdet.engine INFO: Epoch: [70] [240/261] learning_rate: 0.260500 loss_vfl: 0.778123 loss_bbox: 0.296986 loss_dfl: 0.195177 loss: 1.269220 eta: 1 day, 14:56:00 batch_cost: 2.2511 data_cost: 0.0013 ips: 24.8772 images/s [10/21 19:15:21] ppdet.engine INFO: Epoch: [70] [260/261] learning_rate: 0.260419 loss_vfl: 0.770209 loss_bbox: 0.281163 loss_dfl: 0.186018 loss: 1.241958 eta: 1 day, 14:54:48 batch_cost: 1.9421 data_cost: 0.0014 ips: 28.8344 images/s [10/21 19:15:45] ppdet.engine INFO: Epoch: [71] [ 0/261] learning_rate: 0.260415 loss_vfl: 0.772830 loss_bbox: 0.287218 loss_dfl: 0.189927 loss: 1.254746 eta: 1 day, 14:55:37 batch_cost: 2.7868 data_cost: 0.4506 ips: 20.0951 images/s [10/21 19:16:42] ppdet.engine INFO: Epoch: [71] [ 20/261] learning_rate: 0.260333 loss_vfl: 0.774300 loss_bbox: 0.280408 loss_dfl: 0.186936 loss: 1.238543 eta: 1 day, 14:55:10 batch_cost: 2.6466 data_cost: 0.0013 ips: 21.1588 images/s [10/21 19:17:30] ppdet.engine INFO: Epoch: [71] [ 40/261] learning_rate: 0.260251 loss_vfl: 0.781832 loss_bbox: 0.292674 loss_dfl: 0.189117 loss: 1.263664 eta: 1 day, 14:54:16 batch_cost: 2.2430 data_cost: 0.0013 ips: 24.9667 images/s [10/21 19:18:17] ppdet.engine INFO: Epoch: [71] [ 60/261] learning_rate: 0.260170 loss_vfl: 0.770226 loss_bbox: 0.295376 loss_dfl: 0.196767 loss: 1.270672 eta: 1 day, 14:53:19 batch_cost: 2.1765 data_cost: 0.0013 ips: 25.7299 images/s [10/21 19:19:04] ppdet.engine INFO: Epoch: [71] [ 80/261] learning_rate: 0.260088 loss_vfl: 0.781939 loss_bbox: 0.276318 loss_dfl: 0.181305 loss: 1.249228 eta: 1 day, 14:52:26 batch_cost: 2.2544 data_cost: 0.0013 ips: 24.8407 images/s [10/21 19:19:55] ppdet.engine INFO: Epoch: [71] [100/261] learning_rate: 0.260006 loss_vfl: 0.785371 loss_bbox: 0.292820 loss_dfl: 0.193578 loss: 1.280775 eta: 1 day, 14:51:40 batch_cost: 2.3628 data_cost: 0.0013 ips: 23.7006 images/s [10/21 19:20:41] ppdet.engine INFO: Epoch: [71] [120/261] learning_rate: 0.259924 loss_vfl: 0.774953 loss_bbox: 0.308294 loss_dfl: 0.197016 loss: 1.293092 eta: 1 day, 14:50:40 batch_cost: 2.1360 data_cost: 0.0012 ips: 26.2168 images/s [10/21 19:21:26] ppdet.engine INFO: Epoch: [71] [140/261] learning_rate: 0.259843 loss_vfl: 0.787554 loss_bbox: 0.314687 loss_dfl: 0.199167 loss: 1.286129 eta: 1 day, 14:49:39 batch_cost: 2.1174 data_cost: 0.0013 ips: 26.4479 images/s [10/21 19:22:14] ppdet.engine INFO: Epoch: [71] [160/261] learning_rate: 0.259761 loss_vfl: 0.794764 loss_bbox: 0.292853 loss_dfl: 0.186471 loss: 1.278357 eta: 1 day, 14:48:44 batch_cost: 2.2254 data_cost: 0.0013 ips: 25.1643 images/s [10/21 19:23:02] ppdet.engine INFO: Epoch: [71] [180/261] learning_rate: 0.259678 loss_vfl: 0.782157 loss_bbox: 0.280030 loss_dfl: 0.187542 loss: 1.259094 eta: 1 day, 14:47:51 batch_cost: 2.2474 data_cost: 0.0013 ips: 24.9179 images/s [10/21 19:23:52] ppdet.engine INFO: Epoch: [71] [200/261] learning_rate: 0.259596 loss_vfl: 0.785456 loss_bbox: 0.301115 loss_dfl: 0.188947 loss: 1.283310 eta: 1 day, 14:47:05 batch_cost: 2.3569 data_cost: 0.0013 ips: 23.7599 images/s [10/21 19:24:40] ppdet.engine INFO: Epoch: [71] [220/261] learning_rate: 0.259514 loss_vfl: 0.779836 loss_bbox: 0.291787 loss_dfl: 0.193855 loss: 1.263911 eta: 1 day, 14:46:15 batch_cost: 2.2911 data_cost: 0.0013 ips: 24.4425 images/s [10/21 19:25:30] ppdet.engine INFO: Epoch: [71] [240/261] learning_rate: 0.259432 loss_vfl: 0.785526 loss_bbox: 0.275805 loss_dfl: 0.187096 loss: 1.236586 eta: 1 day, 14:45:32 batch_cost: 2.4010 data_cost: 0.0013 ips: 23.3236 images/s [10/21 19:26:14] ppdet.engine INFO: Epoch: [71] [260/261] learning_rate: 0.259349 loss_vfl: 0.793089 loss_bbox: 0.282483 loss_dfl: 0.191366 loss: 1.262302 eta: 1 day, 14:44:27 batch_cost: 2.0603 data_cost: 0.0012 ips: 27.1800 images/s [10/21 19:26:38] ppdet.engine INFO: Epoch: [72] [ 0/261] learning_rate: 0.259345 loss_vfl: 0.787922 loss_bbox: 0.283958 loss_dfl: 0.193657 loss: 1.263798 eta: 1 day, 14:45:15 batch_cost: 2.8999 data_cost: 0.3774 ips: 19.3112 images/s [10/21 19:27:29] ppdet.engine INFO: Epoch: [72] [ 20/261] learning_rate: 0.259263 loss_vfl: 0.794956 loss_bbox: 0.300384 loss_dfl: 0.191976 loss: 1.297139 eta: 1 day, 14:44:30 batch_cost: 2.3681 data_cost: 0.0013 ips: 23.6481 images/s [10/21 19:28:17] ppdet.engine INFO: Epoch: [72] [ 40/261] learning_rate: 0.259180 loss_vfl: 0.782626 loss_bbox: 0.261949 loss_dfl: 0.180917 loss: 1.246872 eta: 1 day, 14:43:35 batch_cost: 2.2089 data_cost: 0.0013 ips: 25.3522 images/s [10/21 19:29:04] ppdet.engine INFO: Epoch: [72] [ 60/261] learning_rate: 0.259098 loss_vfl: 0.788362 loss_bbox: 0.292513 loss_dfl: 0.192564 loss: 1.257991 eta: 1 day, 14:42:38 batch_cost: 2.1834 data_cost: 0.0014 ips: 25.6476 images/s [10/21 19:29:52] ppdet.engine INFO: Epoch: [72] [ 80/261] learning_rate: 0.259015 loss_vfl: 0.760191 loss_bbox: 0.288284 loss_dfl: 0.189273 loss: 1.231693 eta: 1 day, 14:41:49 batch_cost: 2.3225 data_cost: 0.0013 ips: 24.1115 images/s [10/21 19:30:39] ppdet.engine INFO: Epoch: [72] [100/261] learning_rate: 0.258932 loss_vfl: 0.785168 loss_bbox: 0.295926 loss_dfl: 0.197933 loss: 1.276421 eta: 1 day, 14:40:53 batch_cost: 2.1893 data_cost: 0.0014 ips: 25.5793 images/s [10/21 19:31:26] ppdet.engine INFO: Epoch: [72] [120/261] learning_rate: 0.258850 loss_vfl: 0.793912 loss_bbox: 0.287448 loss_dfl: 0.188700 loss: 1.275913 eta: 1 day, 14:39:56 batch_cost: 2.1923 data_cost: 0.0013 ips: 25.5438 images/s [10/21 19:32:15] ppdet.engine INFO: Epoch: [72] [140/261] learning_rate: 0.258767 loss_vfl: 0.784817 loss_bbox: 0.281244 loss_dfl: 0.185260 loss: 1.260978 eta: 1 day, 14:39:08 batch_cost: 2.3221 data_cost: 0.0012 ips: 24.1163 images/s [10/21 19:33:06] ppdet.engine INFO: Epoch: [72] [160/261] learning_rate: 0.258684 loss_vfl: 0.781329 loss_bbox: 0.282065 loss_dfl: 0.186056 loss: 1.263894 eta: 1 day, 14:38:25 batch_cost: 2.4114 data_cost: 0.0013 ips: 23.2227 images/s [10/21 19:33:54] ppdet.engine INFO: Epoch: [72] [180/261] learning_rate: 0.258601 loss_vfl: 0.773890 loss_bbox: 0.294959 loss_dfl: 0.192056 loss: 1.270749 eta: 1 day, 14:37:34 batch_cost: 2.2654 data_cost: 0.0013 ips: 24.7197 images/s [10/21 19:34:45] ppdet.engine INFO: Epoch: [72] [200/261] learning_rate: 0.258518 loss_vfl: 0.788191 loss_bbox: 0.286077 loss_dfl: 0.188880 loss: 1.277900 eta: 1 day, 14:36:49 batch_cost: 2.3858 data_cost: 0.0013 ips: 23.4726 images/s [10/21 19:35:33] ppdet.engine INFO: Epoch: [72] [220/261] learning_rate: 0.258435 loss_vfl: 0.801901 loss_bbox: 0.278260 loss_dfl: 0.187428 loss: 1.264660 eta: 1 day, 14:36:00 batch_cost: 2.3061 data_cost: 0.0013 ips: 24.2833 images/s [10/21 19:36:23] ppdet.engine INFO: Epoch: [72] [240/261] learning_rate: 0.258351 loss_vfl: 0.788605 loss_bbox: 0.301531 loss_dfl: 0.200062 loss: 1.296590 eta: 1 day, 14:35:15 batch_cost: 2.3786 data_cost: 0.0013 ips: 23.5429 images/s [10/21 19:37:07] ppdet.engine INFO: Epoch: [72] [260/261] learning_rate: 0.258268 loss_vfl: 0.785271 loss_bbox: 0.282466 loss_dfl: 0.189252 loss: 1.264788 eta: 1 day, 14:34:09 batch_cost: 2.0283 data_cost: 0.0012 ips: 27.6097 images/s [10/21 19:37:27] ppdet.engine INFO: Epoch: [73] [ 0/261] learning_rate: 0.258264 loss_vfl: 0.786604 loss_bbox: 0.282466 loss_dfl: 0.189252 loss: 1.273243 eta: 1 day, 14:34:47 batch_cost: 2.6627 data_cost: 0.4421 ips: 21.0311 images/s [10/21 19:38:23] ppdet.engine INFO: Epoch: [73] [ 20/261] learning_rate: 0.258181 loss_vfl: 0.782618 loss_bbox: 0.278682 loss_dfl: 0.183018 loss: 1.266098 eta: 1 day, 14:34:15 batch_cost: 2.5955 data_cost: 0.0014 ips: 21.5760 images/s [10/21 19:39:15] ppdet.engine INFO: Epoch: [73] [ 40/261] learning_rate: 0.258097 loss_vfl: 0.791113 loss_bbox: 0.274658 loss_dfl: 0.186354 loss: 1.238042 eta: 1 day, 14:33:37 batch_cost: 2.4830 data_cost: 0.0014 ips: 22.5530 images/s [10/21 19:40:03] ppdet.engine INFO: Epoch: [73] [ 60/261] learning_rate: 0.258014 loss_vfl: 0.760293 loss_bbox: 0.268064 loss_dfl: 0.180218 loss: 1.205600 eta: 1 day, 14:32:45 batch_cost: 2.2566 data_cost: 0.0014 ips: 24.8161 images/s [10/21 19:40:54] ppdet.engine INFO: Epoch: [73] [ 80/261] learning_rate: 0.257930 loss_vfl: 0.776963 loss_bbox: 0.293331 loss_dfl: 0.192938 loss: 1.251434 eta: 1 day, 14:32:02 batch_cost: 2.4199 data_cost: 0.0014 ips: 23.1410 images/s [10/21 19:41:43] ppdet.engine INFO: Epoch: [73] [100/261] learning_rate: 0.257847 loss_vfl: 0.764615 loss_bbox: 0.296351 loss_dfl: 0.197448 loss: 1.271598 eta: 1 day, 14:31:13 batch_cost: 2.3070 data_cost: 0.0014 ips: 24.2741 images/s [10/21 19:42:32] ppdet.engine INFO: Epoch: [73] [120/261] learning_rate: 0.257763 loss_vfl: 0.783877 loss_bbox: 0.296572 loss_dfl: 0.193866 loss: 1.255186 eta: 1 day, 14:30:28 batch_cost: 2.3752 data_cost: 0.0014 ips: 23.5770 images/s [10/21 19:43:22] ppdet.engine INFO: Epoch: [73] [140/261] learning_rate: 0.257679 loss_vfl: 0.769944 loss_bbox: 0.291104 loss_dfl: 0.193570 loss: 1.261433 eta: 1 day, 14:29:43 batch_cost: 2.3756 data_cost: 0.0014 ips: 23.5727 images/s [10/21 19:44:08] ppdet.engine INFO: Epoch: [73] [160/261] learning_rate: 0.257595 loss_vfl: 0.789578 loss_bbox: 0.292624 loss_dfl: 0.197589 loss: 1.286534 eta: 1 day, 14:28:44 batch_cost: 2.1362 data_cost: 0.0013 ips: 26.2142 images/s [10/21 19:44:57] ppdet.engine INFO: Epoch: [73] [180/261] learning_rate: 0.257511 loss_vfl: 0.782201 loss_bbox: 0.286481 loss_dfl: 0.189000 loss: 1.262901 eta: 1 day, 14:27:55 batch_cost: 2.3215 data_cost: 0.0013 ips: 24.1224 images/s [10/21 19:45:48] ppdet.engine INFO: Epoch: [73] [200/261] learning_rate: 0.257427 loss_vfl: 0.787016 loss_bbox: 0.282576 loss_dfl: 0.185189 loss: 1.263211 eta: 1 day, 14:27:15 batch_cost: 2.4517 data_cost: 0.0012 ips: 22.8409 images/s [10/21 19:46:37] ppdet.engine INFO: Epoch: [73] [220/261] learning_rate: 0.257343 loss_vfl: 0.786248 loss_bbox: 0.284019 loss_dfl: 0.182719 loss: 1.266174 eta: 1 day, 14:26:26 batch_cost: 2.3117 data_cost: 0.0013 ips: 24.2249 images/s [10/21 19:47:25] ppdet.engine INFO: Epoch: [73] [240/261] learning_rate: 0.257259 loss_vfl: 0.784411 loss_bbox: 0.286272 loss_dfl: 0.186439 loss: 1.267929 eta: 1 day, 14:25:32 batch_cost: 2.2315 data_cost: 0.0014 ips: 25.0952 images/s [10/21 19:48:06] ppdet.engine INFO: Epoch: [73] [260/261] learning_rate: 0.257175 loss_vfl: 0.788133 loss_bbox: 0.271929 loss_dfl: 0.187223 loss: 1.281432 eta: 1 day, 14:24:21 batch_cost: 1.9479 data_cost: 0.0012 ips: 28.7495 images/s [10/21 19:48:30] ppdet.engine INFO: Epoch: [74] [ 0/261] learning_rate: 0.257171 loss_vfl: 0.780286 loss_bbox: 0.271929 loss_dfl: 0.187223 loss: 1.273704 eta: 1 day, 14:25:06 batch_cost: 2.7283 data_cost: 0.2762 ips: 20.5254 images/s [10/21 19:49:25] ppdet.engine INFO: Epoch: [74] [ 20/261] learning_rate: 0.257087 loss_vfl: 0.776790 loss_bbox: 0.289280 loss_dfl: 0.184273 loss: 1.243493 eta: 1 day, 14:24:36 batch_cost: 2.6193 data_cost: 0.0013 ips: 21.3798 images/s [10/21 19:50:16] ppdet.engine INFO: Epoch: [74] [ 40/261] learning_rate: 0.257002 loss_vfl: 0.776485 loss_bbox: 0.304040 loss_dfl: 0.196977 loss: 1.282762 eta: 1 day, 14:23:51 batch_cost: 2.3660 data_cost: 0.0013 ips: 23.6682 images/s [10/21 19:51:03] ppdet.engine INFO: Epoch: [74] [ 60/261] learning_rate: 0.256918 loss_vfl: 0.757399 loss_bbox: 0.271212 loss_dfl: 0.186253 loss: 1.227572 eta: 1 day, 14:22:57 batch_cost: 2.2279 data_cost: 0.0014 ips: 25.1362 images/s [10/21 19:51:49] ppdet.engine INFO: Epoch: [74] [ 80/261] learning_rate: 0.256833 loss_vfl: 0.770133 loss_bbox: 0.295556 loss_dfl: 0.189170 loss: 1.246470 eta: 1 day, 14:21:59 batch_cost: 2.1619 data_cost: 0.0013 ips: 25.9029 images/s [10/21 19:52:38] ppdet.engine INFO: Epoch: [74] [100/261] learning_rate: 0.256749 loss_vfl: 0.795643 loss_bbox: 0.293218 loss_dfl: 0.186360 loss: 1.273636 eta: 1 day, 14:21:08 batch_cost: 2.2841 data_cost: 0.0013 ips: 24.5173 images/s [10/21 19:53:27] ppdet.engine INFO: Epoch: [74] [120/261] learning_rate: 0.256664 loss_vfl: 0.793633 loss_bbox: 0.276581 loss_dfl: 0.181019 loss: 1.252740 eta: 1 day, 14:20:19 batch_cost: 2.3168 data_cost: 0.0077 ips: 24.1708 images/s [10/21 19:54:16] ppdet.engine INFO: Epoch: [74] [140/261] learning_rate: 0.256580 loss_vfl: 0.785258 loss_bbox: 0.276723 loss_dfl: 0.180721 loss: 1.234679 eta: 1 day, 14:19:30 batch_cost: 2.2990 data_cost: 0.0015 ips: 24.3587 images/s [10/21 19:55:03] ppdet.engine INFO: Epoch: [74] [160/261] learning_rate: 0.256495 loss_vfl: 0.776633 loss_bbox: 0.276960 loss_dfl: 0.181727 loss: 1.237039 eta: 1 day, 14:18:37 batch_cost: 2.2511 data_cost: 0.0013 ips: 24.8768 images/s [10/21 19:55:53] ppdet.engine INFO: Epoch: [74] [180/261] learning_rate: 0.256410 loss_vfl: 0.788444 loss_bbox: 0.278910 loss_dfl: 0.187618 loss: 1.258327 eta: 1 day, 14:17:48 batch_cost: 2.3013 data_cost: 0.0013 ips: 24.3338 images/s [10/21 19:56:41] ppdet.engine INFO: Epoch: [74] [200/261] learning_rate: 0.256325 loss_vfl: 0.786520 loss_bbox: 0.276771 loss_dfl: 0.182609 loss: 1.247801 eta: 1 day, 14:16:58 batch_cost: 2.2968 data_cost: 0.0014 ips: 24.3814 images/s [10/21 19:57:29] ppdet.engine INFO: Epoch: [74] [220/261] learning_rate: 0.256240 loss_vfl: 0.785631 loss_bbox: 0.294943 loss_dfl: 0.198703 loss: 1.283143 eta: 1 day, 14:16:05 batch_cost: 2.2389 data_cost: 0.0014 ips: 25.0123 images/s [10/21 19:58:18] ppdet.engine INFO: Epoch: [74] [240/261] learning_rate: 0.256155 loss_vfl: 0.791845 loss_bbox: 0.288242 loss_dfl: 0.192559 loss: 1.262177 eta: 1 day, 14:15:16 batch_cost: 2.3173 data_cost: 0.0013 ips: 24.1660 images/s [10/21 19:59:00] ppdet.engine INFO: Epoch: [74] [260/261] learning_rate: 0.256070 loss_vfl: 0.795458 loss_bbox: 0.304818 loss_dfl: 0.194947 loss: 1.300394 eta: 1 day, 14:14:07 batch_cost: 1.9680 data_cost: 0.0012 ips: 28.4546 images/s [10/21 19:59:23] ppdet.engine INFO: Epoch: [75] [ 0/261] learning_rate: 0.256066 loss_vfl: 0.795458 loss_bbox: 0.307287 loss_dfl: 0.196399 loss: 1.304631 eta: 1 day, 14:14:48 batch_cost: 2.6721 data_cost: 0.3328 ips: 20.9575 images/s [10/21 20:00:13] ppdet.engine INFO: Epoch: [75] [ 20/261] learning_rate: 0.255981 loss_vfl: 0.778736 loss_bbox: 0.284837 loss_dfl: 0.185742 loss: 1.264560 eta: 1 day, 14:14:05 batch_cost: 2.4063 data_cost: 0.0013 ips: 23.2720 images/s [10/21 20:00:59] ppdet.engine INFO: Epoch: [75] [ 40/261] learning_rate: 0.255896 loss_vfl: 0.787172 loss_bbox: 0.285972 loss_dfl: 0.193796 loss: 1.262352 eta: 1 day, 14:13:08 batch_cost: 2.1817 data_cost: 0.0013 ips: 25.6684 images/s [10/21 20:01:49] ppdet.engine INFO: Epoch: [75] [ 60/261] learning_rate: 0.255810 loss_vfl: 0.775100 loss_bbox: 0.282587 loss_dfl: 0.186291 loss: 1.251014 eta: 1 day, 14:12:19 batch_cost: 2.3109 data_cost: 0.0012 ips: 24.2331 images/s [10/21 20:02:36] ppdet.engine INFO: Epoch: [75] [ 80/261] learning_rate: 0.255725 loss_vfl: 0.787911 loss_bbox: 0.295619 loss_dfl: 0.190487 loss: 1.285079 eta: 1 day, 14:11:24 batch_cost: 2.2097 data_cost: 0.0013 ips: 25.3426 images/s [10/21 20:03:26] ppdet.engine INFO: Epoch: [75] [100/261] learning_rate: 0.255640 loss_vfl: 0.782228 loss_bbox: 0.279828 loss_dfl: 0.182170 loss: 1.263831 eta: 1 day, 14:10:33 batch_cost: 2.2794 data_cost: 0.0030 ips: 24.5681 images/s [10/21 20:04:15] ppdet.engine INFO: Epoch: [75] [120/261] learning_rate: 0.255554 loss_vfl: 0.791085 loss_bbox: 0.289813 loss_dfl: 0.182737 loss: 1.267273 eta: 1 day, 14:09:47 batch_cost: 2.3533 data_cost: 0.0014 ips: 23.7960 images/s [10/21 20:05:05] ppdet.engine INFO: Epoch: [75] [140/261] learning_rate: 0.255469 loss_vfl: 0.785313 loss_bbox: 0.290318 loss_dfl: 0.192576 loss: 1.271813 eta: 1 day, 14:09:02 batch_cost: 2.3756 data_cost: 0.0013 ips: 23.5731 images/s [10/21 20:05:53] ppdet.engine INFO: Epoch: [75] [160/261] learning_rate: 0.255383 loss_vfl: 0.770041 loss_bbox: 0.286719 loss_dfl: 0.187596 loss: 1.256063 eta: 1 day, 14:08:12 batch_cost: 2.2960 data_cost: 0.0013 ips: 24.3905 images/s [10/21 20:06:40] ppdet.engine INFO: Epoch: [75] [180/261] learning_rate: 0.255297 loss_vfl: 0.769620 loss_bbox: 0.279602 loss_dfl: 0.184534 loss: 1.256279 eta: 1 day, 14:07:18 batch_cost: 2.2148 data_cost: 0.0013 ips: 25.2849 images/s [10/21 20:07:28] ppdet.engine INFO: Epoch: [75] [200/261] learning_rate: 0.255211 loss_vfl: 0.784971 loss_bbox: 0.292938 loss_dfl: 0.194269 loss: 1.265932 eta: 1 day, 14:06:24 batch_cost: 2.2337 data_cost: 0.0014 ips: 25.0702 images/s [10/21 20:08:16] ppdet.engine INFO: Epoch: [75] [220/261] learning_rate: 0.255126 loss_vfl: 0.772905 loss_bbox: 0.306801 loss_dfl: 0.197494 loss: 1.291009 eta: 1 day, 14:05:35 batch_cost: 2.3040 data_cost: 0.0013 ips: 24.3060 images/s [10/21 20:09:03] ppdet.engine INFO: Epoch: [75] [240/261] learning_rate: 0.255040 loss_vfl: 0.784151 loss_bbox: 0.284476 loss_dfl: 0.189803 loss: 1.260102 eta: 1 day, 14:04:40 batch_cost: 2.2099 data_cost: 0.0013 ips: 25.3399 images/s [10/21 20:09:45] ppdet.engine INFO: Epoch: [75] [260/261] learning_rate: 0.254954 loss_vfl: 0.788606 loss_bbox: 0.282970 loss_dfl: 0.187630 loss: 1.267733 eta: 1 day, 14:03:30 batch_cost: 1.9482 data_cost: 0.0012 ips: 28.7450 images/s [10/21 20:10:05] ppdet.engine INFO: Epoch: [76] [ 0/261] learning_rate: 0.254950 loss_vfl: 0.783187 loss_bbox: 0.282970 loss_dfl: 0.187798 loss: 1.267733 eta: 1 day, 14:04:04 batch_cost: 2.5782 data_cost: 0.4450 ips: 21.7208 images/s [10/21 20:11:01] ppdet.engine INFO: Epoch: [76] [ 20/261] learning_rate: 0.254863 loss_vfl: 0.776804 loss_bbox: 0.284398 loss_dfl: 0.187102 loss: 1.264169 eta: 1 day, 14:03:37 batch_cost: 2.6792 data_cost: 0.0067 ips: 20.9019 images/s [10/21 20:11:49] ppdet.engine INFO: Epoch: [76] [ 40/261] learning_rate: 0.254777 loss_vfl: 0.771921 loss_bbox: 0.280102 loss_dfl: 0.185467 loss: 1.229423 eta: 1 day, 14:02:46 batch_cost: 2.2720 data_cost: 0.0013 ips: 24.6477 images/s [10/21 20:12:36] ppdet.engine INFO: Epoch: [76] [ 60/261] learning_rate: 0.254691 loss_vfl: 0.778957 loss_bbox: 0.287042 loss_dfl: 0.189896 loss: 1.271814 eta: 1 day, 14:01:50 batch_cost: 2.1842 data_cost: 0.0014 ips: 25.6389 images/s [10/21 20:13:25] ppdet.engine INFO: Epoch: [76] [ 80/261] learning_rate: 0.254605 loss_vfl: 0.767647 loss_bbox: 0.301910 loss_dfl: 0.194948 loss: 1.237672 eta: 1 day, 14:01:02 batch_cost: 2.3276 data_cost: 0.0013 ips: 24.0594 images/s [10/21 20:14:13] ppdet.engine INFO: Epoch: [76] [100/261] learning_rate: 0.254519 loss_vfl: 0.778516 loss_bbox: 0.293504 loss_dfl: 0.194576 loss: 1.270753 eta: 1 day, 14:00:13 batch_cost: 2.3005 data_cost: 0.0013 ips: 24.3429 images/s [10/21 20:15:02] ppdet.engine INFO: Epoch: [76] [120/261] learning_rate: 0.254432 loss_vfl: 0.776648 loss_bbox: 0.298905 loss_dfl: 0.200609 loss: 1.281179 eta: 1 day, 13:59:22 batch_cost: 2.2835 data_cost: 0.0013 ips: 24.5239 images/s [10/21 20:15:52] ppdet.engine INFO: Epoch: [76] [140/261] learning_rate: 0.254346 loss_vfl: 0.767597 loss_bbox: 0.272562 loss_dfl: 0.183203 loss: 1.196717 eta: 1 day, 13:58:36 batch_cost: 2.3526 data_cost: 0.0014 ips: 23.8030 images/s [10/21 20:16:43] ppdet.engine INFO: Epoch: [76] [160/261] learning_rate: 0.254259 loss_vfl: 0.780833 loss_bbox: 0.291672 loss_dfl: 0.188400 loss: 1.247028 eta: 1 day, 13:57:52 batch_cost: 2.4034 data_cost: 0.0013 ips: 23.3008 images/s [10/21 20:17:32] ppdet.engine INFO: Epoch: [76] [180/261] learning_rate: 0.254173 loss_vfl: 0.791840 loss_bbox: 0.282091 loss_dfl: 0.187281 loss: 1.265531 eta: 1 day, 13:57:04 batch_cost: 2.3209 data_cost: 0.0012 ips: 24.1286 images/s [10/21 20:18:21] ppdet.engine INFO: Epoch: [76] [200/261] learning_rate: 0.254086 loss_vfl: 0.784382 loss_bbox: 0.283514 loss_dfl: 0.181301 loss: 1.287405 eta: 1 day, 13:56:15 batch_cost: 2.3025 data_cost: 0.0013 ips: 24.3219 images/s [10/21 20:19:10] ppdet.engine INFO: Epoch: [76] [220/261] learning_rate: 0.253999 loss_vfl: 0.794029 loss_bbox: 0.291947 loss_dfl: 0.195823 loss: 1.254984 eta: 1 day, 13:55:24 batch_cost: 2.2754 data_cost: 0.0014 ips: 24.6110 images/s [10/21 20:20:00] ppdet.engine INFO: Epoch: [76] [240/261] learning_rate: 0.253913 loss_vfl: 0.787133 loss_bbox: 0.277274 loss_dfl: 0.186066 loss: 1.235075 eta: 1 day, 13:54:38 batch_cost: 2.3579 data_cost: 0.0013 ips: 23.7498 images/s [10/21 20:20:45] ppdet.engine INFO: Epoch: [76] [260/261] learning_rate: 0.253826 loss_vfl: 0.766578 loss_bbox: 0.264771 loss_dfl: 0.174838 loss: 1.204965 eta: 1 day, 13:53:35 batch_cost: 2.0655 data_cost: 0.0013 ips: 27.1118 images/s [10/21 20:21:04] ppdet.engine INFO: Epoch: [77] [ 0/261] learning_rate: 0.253821 loss_vfl: 0.766578 loss_bbox: 0.264771 loss_dfl: 0.174838 loss: 1.204965 eta: 1 day, 13:54:06 batch_cost: 2.6392 data_cost: 0.3061 ips: 21.2183 images/s [10/21 20:22:00] ppdet.engine INFO: Epoch: [77] [ 20/261] learning_rate: 0.253735 loss_vfl: 0.781668 loss_bbox: 0.294778 loss_dfl: 0.187451 loss: 1.261561 eta: 1 day, 13:53:32 batch_cost: 2.5628 data_cost: 0.0014 ips: 21.8512 images/s [10/21 20:22:49] ppdet.engine INFO: Epoch: [77] [ 40/261] learning_rate: 0.253648 loss_vfl: 0.786028 loss_bbox: 0.273791 loss_dfl: 0.186270 loss: 1.265855 eta: 1 day, 13:52:45 batch_cost: 2.3349 data_cost: 0.0013 ips: 23.9842 images/s [10/21 20:23:37] ppdet.engine INFO: Epoch: [77] [ 60/261] learning_rate: 0.253561 loss_vfl: 0.768271 loss_bbox: 0.293405 loss_dfl: 0.191848 loss: 1.282997 eta: 1 day, 13:51:53 batch_cost: 2.2558 data_cost: 0.0013 ips: 24.8244 images/s [10/21 20:24:26] ppdet.engine INFO: Epoch: [77] [ 80/261] learning_rate: 0.253473 loss_vfl: 0.779386 loss_bbox: 0.316394 loss_dfl: 0.195764 loss: 1.292784 eta: 1 day, 13:51:01 batch_cost: 2.2643 data_cost: 0.0013 ips: 24.7316 images/s [10/21 20:25:13] ppdet.engine INFO: Epoch: [77] [100/261] learning_rate: 0.253386 loss_vfl: 0.770018 loss_bbox: 0.266091 loss_dfl: 0.178412 loss: 1.206028 eta: 1 day, 13:50:08 batch_cost: 2.2420 data_cost: 0.0014 ips: 24.9777 images/s [10/21 20:26:04] ppdet.engine INFO: Epoch: [77] [120/261] learning_rate: 0.253299 loss_vfl: 0.762290 loss_bbox: 0.286567 loss_dfl: 0.186840 loss: 1.242491 eta: 1 day, 13:49:26 batch_cost: 2.4234 data_cost: 0.0013 ips: 23.1083 images/s [10/21 20:26:50] ppdet.engine INFO: Epoch: [77] [140/261] learning_rate: 0.253212 loss_vfl: 0.776344 loss_bbox: 0.283611 loss_dfl: 0.185656 loss: 1.261769 eta: 1 day, 13:48:32 batch_cost: 2.2225 data_cost: 0.0013 ips: 25.1971 images/s [10/21 20:27:38] ppdet.engine INFO: Epoch: [77] [160/261] learning_rate: 0.253124 loss_vfl: 0.783625 loss_bbox: 0.293046 loss_dfl: 0.193184 loss: 1.261672 eta: 1 day, 13:47:39 batch_cost: 2.2344 data_cost: 0.0013 ips: 25.0626 images/s [10/21 20:28:26] ppdet.engine INFO: Epoch: [77] [180/261] learning_rate: 0.253037 loss_vfl: 0.755492 loss_bbox: 0.284929 loss_dfl: 0.189956 loss: 1.234670 eta: 1 day, 13:46:51 batch_cost: 2.3286 data_cost: 0.0065 ips: 24.0486 images/s [10/21 20:29:15] ppdet.engine INFO: Epoch: [77] [200/261] learning_rate: 0.252949 loss_vfl: 0.775477 loss_bbox: 0.292248 loss_dfl: 0.185885 loss: 1.267041 eta: 1 day, 13:45:59 batch_cost: 2.2511 data_cost: 0.0014 ips: 24.8772 images/s [10/21 20:30:01] ppdet.engine INFO: Epoch: [77] [220/261] learning_rate: 0.252862 loss_vfl: 0.780659 loss_bbox: 0.270072 loss_dfl: 0.184772 loss: 1.249172 eta: 1 day, 13:45:05 batch_cost: 2.2239 data_cost: 0.0013 ips: 25.1814 images/s [10/21 20:30:49] ppdet.engine INFO: Epoch: [77] [240/261] learning_rate: 0.252774 loss_vfl: 0.773848 loss_bbox: 0.304248 loss_dfl: 0.193330 loss: 1.265975 eta: 1 day, 13:44:11 batch_cost: 2.2207 data_cost: 0.0013 ips: 25.2177 images/s [10/21 20:31:30] ppdet.engine INFO: Epoch: [77] [260/261] learning_rate: 0.252686 loss_vfl: 0.774363 loss_bbox: 0.283911 loss_dfl: 0.195140 loss: 1.259185 eta: 1 day, 13:43:02 batch_cost: 1.9428 data_cost: 0.0014 ips: 28.8250 images/s [10/21 20:31:51] ppdet.engine INFO: Epoch: [78] [ 0/261] learning_rate: 0.252682 loss_vfl: 0.774363 loss_bbox: 0.283911 loss_dfl: 0.195140 loss: 1.259185 eta: 1 day, 13:43:35 batch_cost: 2.6118 data_cost: 0.2531 ips: 21.4411 images/s [10/21 20:32:44] ppdet.engine INFO: Epoch: [78] [ 20/261] learning_rate: 0.252594 loss_vfl: 0.778446 loss_bbox: 0.278432 loss_dfl: 0.187438 loss: 1.244162 eta: 1 day, 13:43:01 batch_cost: 2.5697 data_cost: 0.0013 ips: 21.7922 images/s [10/21 20:33:33] ppdet.engine INFO: Epoch: [78] [ 40/261] learning_rate: 0.252506 loss_vfl: 0.768785 loss_bbox: 0.287372 loss_dfl: 0.189720 loss: 1.243784 eta: 1 day, 13:42:12 batch_cost: 2.3007 data_cost: 0.0013 ips: 24.3409 images/s [10/21 20:34:21] ppdet.engine INFO: Epoch: [78] [ 60/261] learning_rate: 0.252419 loss_vfl: 0.768668 loss_bbox: 0.272131 loss_dfl: 0.177996 loss: 1.224199 eta: 1 day, 13:41:21 batch_cost: 2.2720 data_cost: 0.0014 ips: 24.6478 images/s [10/21 20:35:12] ppdet.engine INFO: Epoch: [78] [ 80/261] learning_rate: 0.252331 loss_vfl: 0.776516 loss_bbox: 0.296302 loss_dfl: 0.184195 loss: 1.254502 eta: 1 day, 13:40:39 batch_cost: 2.4333 data_cost: 0.0014 ips: 23.0143 images/s [10/21 20:35:59] ppdet.engine INFO: Epoch: [78] [100/261] learning_rate: 0.252243 loss_vfl: 0.761709 loss_bbox: 0.280056 loss_dfl: 0.186593 loss: 1.251342 eta: 1 day, 13:39:47 batch_cost: 2.2513 data_cost: 0.0014 ips: 24.8742 images/s [10/21 20:36:47] ppdet.engine INFO: Epoch: [78] [120/261] learning_rate: 0.252154 loss_vfl: 0.789161 loss_bbox: 0.291762 loss_dfl: 0.186435 loss: 1.264167 eta: 1 day, 13:38:55 batch_cost: 2.2574 data_cost: 0.0013 ips: 24.8068 images/s [10/21 20:37:36] ppdet.engine INFO: Epoch: [78] [140/261] learning_rate: 0.252066 loss_vfl: 0.769756 loss_bbox: 0.288569 loss_dfl: 0.192039 loss: 1.247154 eta: 1 day, 13:38:08 batch_cost: 2.3371 data_cost: 0.0013 ips: 23.9609 images/s [10/21 20:38:24] ppdet.engine INFO: Epoch: [78] [160/261] learning_rate: 0.251978 loss_vfl: 0.787243 loss_bbox: 0.303519 loss_dfl: 0.199025 loss: 1.260295 eta: 1 day, 13:37:16 batch_cost: 2.2633 data_cost: 0.0013 ips: 24.7430 images/s [10/21 20:39:12] ppdet.engine INFO: Epoch: [78] [180/261] learning_rate: 0.251890 loss_vfl: 0.771335 loss_bbox: 0.300922 loss_dfl: 0.204670 loss: 1.277824 eta: 1 day, 13:36:21 batch_cost: 2.1935 data_cost: 0.0014 ips: 25.5304 images/s [10/21 20:40:00] ppdet.engine INFO: Epoch: [78] [200/261] learning_rate: 0.251801 loss_vfl: 0.771190 loss_bbox: 0.291017 loss_dfl: 0.188810 loss: 1.243651 eta: 1 day, 13:35:31 batch_cost: 2.2934 data_cost: 0.0013 ips: 24.4182 images/s [10/21 20:40:49] ppdet.engine INFO: Epoch: [78] [220/261] learning_rate: 0.251713 loss_vfl: 0.779342 loss_bbox: 0.256343 loss_dfl: 0.172070 loss: 1.201811 eta: 1 day, 13:34:43 batch_cost: 2.3278 data_cost: 0.0014 ips: 24.0570 images/s [10/21 20:41:39] ppdet.engine INFO: Epoch: [78] [240/261] learning_rate: 0.251624 loss_vfl: 0.771848 loss_bbox: 0.284875 loss_dfl: 0.182406 loss: 1.238642 eta: 1 day, 13:33:56 batch_cost: 2.3402 data_cost: 0.0013 ips: 23.9291 images/s [10/21 20:42:21] ppdet.engine INFO: Epoch: [78] [260/261] learning_rate: 0.251536 loss_vfl: 0.775360 loss_bbox: 0.273318 loss_dfl: 0.182056 loss: 1.228246 eta: 1 day, 13:32:53 batch_cost: 2.0440 data_cost: 0.0012 ips: 27.3974 images/s [10/21 20:42:44] ppdet.engine INFO: Epoch: [79] [ 0/261] learning_rate: 0.251531 loss_vfl: 0.777933 loss_bbox: 0.273318 loss_dfl: 0.182056 loss: 1.228851 eta: 1 day, 13:33:31 batch_cost: 2.8041 data_cost: 0.4817 ips: 19.9710 images/s [10/21 20:43:40] ppdet.engine INFO: Epoch: [79] [ 20/261] learning_rate: 0.251443 loss_vfl: 0.772389 loss_bbox: 0.274027 loss_dfl: 0.182921 loss: 1.226118 eta: 1 day, 13:33:01 batch_cost: 2.6507 data_cost: 0.0013 ips: 21.1268 images/s [10/21 20:44:31] ppdet.engine INFO: Epoch: [79] [ 40/261] learning_rate: 0.251354 loss_vfl: 0.792342 loss_bbox: 0.296273 loss_dfl: 0.196493 loss: 1.267338 eta: 1 day, 13:32:18 batch_cost: 2.4232 data_cost: 0.0013 ips: 23.1101 images/s [10/21 20:45:20] ppdet.engine INFO: Epoch: [79] [ 60/261] learning_rate: 0.251265 loss_vfl: 0.769416 loss_bbox: 0.280616 loss_dfl: 0.186560 loss: 1.257257 eta: 1 day, 13:31:30 batch_cost: 2.3252 data_cost: 0.0013 ips: 24.0840 images/s [10/21 20:46:10] ppdet.engine INFO: Epoch: [79] [ 80/261] learning_rate: 0.251176 loss_vfl: 0.774197 loss_bbox: 0.304957 loss_dfl: 0.200675 loss: 1.272273 eta: 1 day, 13:30:41 batch_cost: 2.2935 data_cost: 0.0082 ips: 24.4163 images/s [10/21 20:46:58] ppdet.engine INFO: Epoch: [79] [100/261] learning_rate: 0.251088 loss_vfl: 0.775247 loss_bbox: 0.288748 loss_dfl: 0.188876 loss: 1.257238 eta: 1 day, 13:29:51 batch_cost: 2.3005 data_cost: 0.0012 ips: 24.3422 images/s [10/21 20:47:47] ppdet.engine INFO: Epoch: [79] [120/261] learning_rate: 0.250999 loss_vfl: 0.788373 loss_bbox: 0.286762 loss_dfl: 0.190886 loss: 1.272570 eta: 1 day, 13:28:58 batch_cost: 2.2290 data_cost: 0.0013 ips: 25.1229 images/s [10/21 20:48:35] ppdet.engine INFO: Epoch: [79] [140/261] learning_rate: 0.250910 loss_vfl: 0.774056 loss_bbox: 0.295646 loss_dfl: 0.193651 loss: 1.268600 eta: 1 day, 13:28:07 batch_cost: 2.2772 data_cost: 0.0013 ips: 24.5917 images/s [10/21 20:49:24] ppdet.engine INFO: Epoch: [79] [160/261] learning_rate: 0.250820 loss_vfl: 0.771747 loss_bbox: 0.290311 loss_dfl: 0.188078 loss: 1.251564 eta: 1 day, 13:27:13 batch_cost: 2.2120 data_cost: 0.0013 ips: 25.3161 images/s [10/21 20:50:11] ppdet.engine INFO: Epoch: [79] [180/261] learning_rate: 0.250731 loss_vfl: 0.781980 loss_bbox: 0.261741 loss_dfl: 0.177571 loss: 1.235217 eta: 1 day, 13:26:20 batch_cost: 2.2335 data_cost: 0.0014 ips: 25.0724 images/s [10/21 20:50:59] ppdet.engine INFO: Epoch: [79] [200/261] learning_rate: 0.250642 loss_vfl: 0.776157 loss_bbox: 0.292175 loss_dfl: 0.193059 loss: 1.265556 eta: 1 day, 13:25:27 batch_cost: 2.2222 data_cost: 0.0013 ips: 25.2006 images/s [10/21 20:51:46] ppdet.engine INFO: Epoch: [79] [220/261] learning_rate: 0.250553 loss_vfl: 0.776358 loss_bbox: 0.296045 loss_dfl: 0.184852 loss: 1.257603 eta: 1 day, 13:24:33 batch_cost: 2.2217 data_cost: 0.0013 ips: 25.2057 images/s [10/21 20:52:35] ppdet.engine INFO: Epoch: [79] [240/261] learning_rate: 0.250463 loss_vfl: 0.773581 loss_bbox: 0.294776 loss_dfl: 0.193895 loss: 1.261851 eta: 1 day, 13:23:47 batch_cost: 2.3611 data_cost: 0.0013 ips: 23.7176 images/s [10/21 20:53:18] ppdet.engine INFO: Epoch: [79] [260/261] learning_rate: 0.250374 loss_vfl: 0.775494 loss_bbox: 0.275601 loss_dfl: 0.183998 loss: 1.243425 eta: 1 day, 13:22:43 batch_cost: 2.0340 data_cost: 0.0012 ips: 27.5319 images/s [10/21 20:53:24] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 20:53:25] ppdet.engine INFO: Eval iter: 0 [10/21 20:53:53] ppdet.engine INFO: Eval iter: 100 [10/21 20:54:08] ppdet.engine INFO: Eval iter: 200 [10/21 20:54:24] ppdet.engine INFO: Eval iter: 300 [10/21 20:54:40] ppdet.engine INFO: Eval iter: 400 [10/21 20:54:55] ppdet.engine INFO: Eval iter: 500 [10/21 20:55:10] ppdet.engine INFO: Eval iter: 600 [10/21 20:55:25] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.92s) creating index... index created! [10/21 20:55:26] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.71s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=70.30s). Accumulating evaluation results... DONE (t=12.34s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.350 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.515 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.367 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.139 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.381 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.554 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.296 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.469 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.499 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.231 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.565 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.732 [10/21 20:56:55] ppdet.engine INFO: Total sample number: 4952, averge FPS: 44.71172412937967 [10/21 20:56:55] ppdet.engine INFO: Best test bbox ap is 0.350. [10/21 20:56:55] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 20:56:58] ppdet.engine INFO: Epoch: [80] [ 0/261] learning_rate: 0.250370 loss_vfl: 0.775494 loss_bbox: 0.275601 loss_dfl: 0.183998 loss: 1.242439 eta: 1 day, 13:22:40 batch_cost: 2.0059 data_cost: 0.0014 ips: 27.9182 images/s [10/21 20:57:53] ppdet.engine INFO: Epoch: [80] [ 20/261] learning_rate: 0.250280 loss_vfl: 0.763999 loss_bbox: 0.290896 loss_dfl: 0.189349 loss: 1.232604 eta: 1 day, 13:22:07 batch_cost: 2.5910 data_cost: 0.0016 ips: 21.6135 images/s [10/21 20:58:45] ppdet.engine INFO: Epoch: [80] [ 40/261] learning_rate: 0.250191 loss_vfl: 0.767900 loss_bbox: 0.288397 loss_dfl: 0.194591 loss: 1.239500 eta: 1 day, 13:21:26 batch_cost: 2.4597 data_cost: 0.0013 ips: 22.7671 images/s [10/21 20:59:35] ppdet.engine INFO: Epoch: [80] [ 60/261] learning_rate: 0.250101 loss_vfl: 0.767670 loss_bbox: 0.298307 loss_dfl: 0.190699 loss: 1.253851 eta: 1 day, 13:20:42 batch_cost: 2.3813 data_cost: 0.0013 ips: 23.5169 images/s [10/21 21:00:23] ppdet.engine INFO: Epoch: [80] [ 80/261] learning_rate: 0.250011 loss_vfl: 0.772442 loss_bbox: 0.299358 loss_dfl: 0.188604 loss: 1.259566 eta: 1 day, 13:19:51 batch_cost: 2.2698 data_cost: 0.0013 ips: 24.6721 images/s [10/21 21:01:13] ppdet.engine INFO: Epoch: [80] [100/261] learning_rate: 0.249922 loss_vfl: 0.769984 loss_bbox: 0.286339 loss_dfl: 0.194816 loss: 1.253195 eta: 1 day, 13:19:04 batch_cost: 2.3511 data_cost: 0.0013 ips: 23.8185 images/s [10/21 21:02:03] ppdet.engine INFO: Epoch: [80] [120/261] learning_rate: 0.249832 loss_vfl: 0.754667 loss_bbox: 0.295678 loss_dfl: 0.195404 loss: 1.266427 eta: 1 day, 13:18:16 batch_cost: 2.3171 data_cost: 0.0013 ips: 24.1680 images/s [10/21 21:02:52] ppdet.engine INFO: Epoch: [80] [140/261] learning_rate: 0.249742 loss_vfl: 0.784626 loss_bbox: 0.295231 loss_dfl: 0.200348 loss: 1.306000 eta: 1 day, 13:17:27 batch_cost: 2.2986 data_cost: 0.0013 ips: 24.3626 images/s [10/21 21:03:41] ppdet.engine INFO: Epoch: [80] [160/261] learning_rate: 0.249652 loss_vfl: 0.774463 loss_bbox: 0.283435 loss_dfl: 0.181007 loss: 1.238956 eta: 1 day, 13:16:38 batch_cost: 2.3207 data_cost: 0.0014 ips: 24.1305 images/s [10/21 21:04:34] ppdet.engine INFO: Epoch: [80] [180/261] learning_rate: 0.249562 loss_vfl: 0.778133 loss_bbox: 0.269155 loss_dfl: 0.183396 loss: 1.232612 eta: 1 day, 13:16:02 batch_cost: 2.5281 data_cost: 0.0013 ips: 22.1511 images/s [10/21 21:05:24] ppdet.engine INFO: Epoch: [80] [200/261] learning_rate: 0.249472 loss_vfl: 0.768328 loss_bbox: 0.298502 loss_dfl: 0.196639 loss: 1.276424 eta: 1 day, 13:15:15 batch_cost: 2.3566 data_cost: 0.0013 ips: 23.7632 images/s [10/21 21:06:11] ppdet.engine INFO: Epoch: [80] [220/261] learning_rate: 0.249382 loss_vfl: 0.774818 loss_bbox: 0.304572 loss_dfl: 0.200375 loss: 1.289717 eta: 1 day, 13:14:24 batch_cost: 2.2541 data_cost: 0.0013 ips: 24.8439 images/s [10/21 21:07:00] ppdet.engine INFO: Epoch: [80] [240/261] learning_rate: 0.249292 loss_vfl: 0.774284 loss_bbox: 0.286494 loss_dfl: 0.189487 loss: 1.240773 eta: 1 day, 13:13:34 batch_cost: 2.2947 data_cost: 0.0013 ips: 24.4037 images/s [10/21 21:07:42] ppdet.engine INFO: Epoch: [80] [260/261] learning_rate: 0.249201 loss_vfl: 0.757881 loss_bbox: 0.278359 loss_dfl: 0.185381 loss: 1.230618 eta: 1 day, 13:12:27 batch_cost: 1.9650 data_cost: 0.0012 ips: 28.4994 images/s [10/21 21:08:06] ppdet.engine INFO: Epoch: [81] [ 0/261] learning_rate: 0.249197 loss_vfl: 0.758152 loss_bbox: 0.278359 loss_dfl: 0.185381 loss: 1.230618 eta: 1 day, 13:13:09 batch_cost: 2.7937 data_cost: 0.4895 ips: 20.0448 images/s [10/21 21:09:02] ppdet.engine INFO: Epoch: [81] [ 20/261] learning_rate: 0.249106 loss_vfl: 0.765472 loss_bbox: 0.274126 loss_dfl: 0.185215 loss: 1.219074 eta: 1 day, 13:12:35 batch_cost: 2.5831 data_cost: 0.0014 ips: 21.6797 images/s [10/21 21:09:51] ppdet.engine INFO: Epoch: [81] [ 40/261] learning_rate: 0.249016 loss_vfl: 0.766413 loss_bbox: 0.287053 loss_dfl: 0.191737 loss: 1.250447 eta: 1 day, 13:11:48 batch_cost: 2.3322 data_cost: 0.0014 ips: 24.0116 images/s [10/21 21:10:39] ppdet.engine INFO: Epoch: [81] [ 60/261] learning_rate: 0.248926 loss_vfl: 0.766632 loss_bbox: 0.295314 loss_dfl: 0.193049 loss: 1.256927 eta: 1 day, 13:10:56 batch_cost: 2.2605 data_cost: 0.0013 ips: 24.7730 images/s [10/21 21:11:30] ppdet.engine INFO: Epoch: [81] [ 80/261] learning_rate: 0.248835 loss_vfl: 0.785582 loss_bbox: 0.299091 loss_dfl: 0.189422 loss: 1.266296 eta: 1 day, 13:10:11 batch_cost: 2.3680 data_cost: 0.0013 ips: 23.6488 images/s [10/21 21:12:18] ppdet.engine INFO: Epoch: [81] [100/261] learning_rate: 0.248745 loss_vfl: 0.773715 loss_bbox: 0.280765 loss_dfl: 0.185158 loss: 1.249131 eta: 1 day, 13:09:20 batch_cost: 2.2798 data_cost: 0.0013 ips: 24.5637 images/s [10/21 21:13:06] ppdet.engine INFO: Epoch: [81] [120/261] learning_rate: 0.248654 loss_vfl: 0.778283 loss_bbox: 0.282816 loss_dfl: 0.188043 loss: 1.254166 eta: 1 day, 13:08:29 batch_cost: 2.2600 data_cost: 0.0014 ips: 24.7788 images/s [10/21 21:13:54] ppdet.engine INFO: Epoch: [81] [140/261] learning_rate: 0.248563 loss_vfl: 0.770888 loss_bbox: 0.298996 loss_dfl: 0.194818 loss: 1.262332 eta: 1 day, 13:07:41 batch_cost: 2.3260 data_cost: 0.0013 ips: 24.0757 images/s [10/21 21:14:45] ppdet.engine INFO: Epoch: [81] [160/261] learning_rate: 0.248472 loss_vfl: 0.776296 loss_bbox: 0.277943 loss_dfl: 0.186894 loss: 1.236928 eta: 1 day, 13:06:59 batch_cost: 2.4417 data_cost: 0.0013 ips: 22.9346 images/s [10/21 21:15:32] ppdet.engine INFO: Epoch: [81] [180/261] learning_rate: 0.248382 loss_vfl: 0.762790 loss_bbox: 0.270819 loss_dfl: 0.180647 loss: 1.225613 eta: 1 day, 13:06:06 batch_cost: 2.2291 data_cost: 0.0014 ips: 25.1223 images/s [10/21 21:16:20] ppdet.engine INFO: Epoch: [81] [200/261] learning_rate: 0.248291 loss_vfl: 0.771006 loss_bbox: 0.301579 loss_dfl: 0.199113 loss: 1.265993 eta: 1 day, 13:05:14 batch_cost: 2.2423 data_cost: 0.0013 ips: 24.9747 images/s [10/21 21:17:07] ppdet.engine INFO: Epoch: [81] [220/261] learning_rate: 0.248200 loss_vfl: 0.773124 loss_bbox: 0.268136 loss_dfl: 0.181308 loss: 1.208492 eta: 1 day, 13:04:22 batch_cost: 2.2497 data_cost: 0.0014 ips: 24.8925 images/s [10/21 21:17:55] ppdet.engine INFO: Epoch: [81] [240/261] learning_rate: 0.248109 loss_vfl: 0.780309 loss_bbox: 0.283010 loss_dfl: 0.188456 loss: 1.254257 eta: 1 day, 13:03:28 batch_cost: 2.2056 data_cost: 0.0014 ips: 25.3896 images/s [10/21 21:18:37] ppdet.engine INFO: Epoch: [81] [260/261] learning_rate: 0.248018 loss_vfl: 0.788845 loss_bbox: 0.294665 loss_dfl: 0.195239 loss: 1.276108 eta: 1 day, 13:02:22 batch_cost: 1.9919 data_cost: 0.0011 ips: 28.1134 images/s [10/21 21:19:01] ppdet.engine INFO: Epoch: [82] [ 0/261] learning_rate: 0.248013 loss_vfl: 0.795403 loss_bbox: 0.294665 loss_dfl: 0.195239 loss: 1.276108 eta: 1 day, 13:03:03 batch_cost: 2.8096 data_cost: 0.2328 ips: 19.9315 images/s [10/21 21:19:56] ppdet.engine INFO: Epoch: [82] [ 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loss_bbox: 0.282950 loss_dfl: 0.192094 loss: 1.254831 eta: 1 day, 12:59:01 batch_cost: 2.2234 data_cost: 0.0013 ips: 25.1870 images/s [10/21 21:23:59] ppdet.engine INFO: Epoch: [82] [120/261] learning_rate: 0.247465 loss_vfl: 0.774426 loss_bbox: 0.274847 loss_dfl: 0.182263 loss: 1.232592 eta: 1 day, 12:58:12 batch_cost: 2.3074 data_cost: 0.0013 ips: 24.2699 images/s [10/21 21:24:46] ppdet.engine INFO: Epoch: [82] [140/261] learning_rate: 0.247374 loss_vfl: 0.773728 loss_bbox: 0.280973 loss_dfl: 0.194190 loss: 1.250517 eta: 1 day, 12:57:17 batch_cost: 2.1862 data_cost: 0.0014 ips: 25.6151 images/s [10/21 21:25:35] ppdet.engine INFO: Epoch: [82] [160/261] learning_rate: 0.247282 loss_vfl: 0.758720 loss_bbox: 0.280701 loss_dfl: 0.190171 loss: 1.207180 eta: 1 day, 12:56:27 batch_cost: 2.2714 data_cost: 0.0013 ips: 24.6543 images/s [10/21 21:26:22] ppdet.engine INFO: Epoch: [82] [180/261] learning_rate: 0.247190 loss_vfl: 0.778889 loss_bbox: 0.299722 loss_dfl: 0.195462 loss: 1.282420 eta: 1 day, 12:55:32 batch_cost: 2.1980 data_cost: 0.0013 ips: 25.4778 images/s [10/21 21:27:08] ppdet.engine INFO: Epoch: [82] [200/261] learning_rate: 0.247099 loss_vfl: 0.790120 loss_bbox: 0.274893 loss_dfl: 0.184249 loss: 1.243259 eta: 1 day, 12:54:37 batch_cost: 2.1927 data_cost: 0.0013 ips: 25.5391 images/s [10/21 21:27:56] ppdet.engine INFO: Epoch: [82] [220/261] learning_rate: 0.247007 loss_vfl: 0.777550 loss_bbox: 0.284774 loss_dfl: 0.190913 loss: 1.266634 eta: 1 day, 12:53:44 batch_cost: 2.2259 data_cost: 0.0013 ips: 25.1585 images/s [10/21 21:28:44] ppdet.engine INFO: Epoch: [82] [240/261] learning_rate: 0.246915 loss_vfl: 0.782754 loss_bbox: 0.285968 loss_dfl: 0.186002 loss: 1.261649 eta: 1 day, 12:52:51 batch_cost: 2.2244 data_cost: 0.0014 ips: 25.1757 images/s [10/21 21:29:26] ppdet.engine INFO: Epoch: [82] [260/261] learning_rate: 0.246823 loss_vfl: 0.774837 loss_bbox: 0.292208 loss_dfl: 0.195034 loss: 1.271477 eta: 1 day, 12:51:47 batch_cost: 2.0207 data_cost: 0.0016 ips: 27.7138 images/s [10/21 21:29:49] ppdet.engine INFO: Epoch: [83] [ 0/261] learning_rate: 0.246819 loss_vfl: 0.774837 loss_bbox: 0.285523 loss_dfl: 0.193205 loss: 1.256502 eta: 1 day, 12:52:22 batch_cost: 2.7356 data_cost: 0.4209 ips: 20.4705 images/s [10/21 21:30:43] ppdet.engine INFO: Epoch: [83] [ 20/261] learning_rate: 0.246727 loss_vfl: 0.766013 loss_bbox: 0.306543 loss_dfl: 0.200449 loss: 1.257087 eta: 1 day, 12:51:48 batch_cost: 2.5945 data_cost: 0.0013 ips: 21.5838 images/s [10/21 21:31:31] ppdet.engine INFO: Epoch: [83] [ 40/261] learning_rate: 0.246635 loss_vfl: 0.769251 loss_bbox: 0.283035 loss_dfl: 0.195027 loss: 1.254081 eta: 1 day, 12:50:55 batch_cost: 2.2364 data_cost: 0.0013 ips: 25.0399 images/s [10/21 21:32:19] ppdet.engine INFO: Epoch: [83] [ 60/261] learning_rate: 0.246543 loss_vfl: 0.767367 loss_bbox: 0.292336 loss_dfl: 0.187208 loss: 1.257985 eta: 1 day, 12:50:05 batch_cost: 2.2710 data_cost: 0.0013 ips: 24.6585 images/s [10/21 21:33:08] ppdet.engine INFO: Epoch: [83] [ 80/261] learning_rate: 0.246450 loss_vfl: 0.777969 loss_bbox: 0.287039 loss_dfl: 0.197663 loss: 1.275925 eta: 1 day, 12:49:17 batch_cost: 2.3281 data_cost: 0.0013 ips: 24.0541 images/s [10/21 21:33:55] ppdet.engine INFO: Epoch: [83] [100/261] learning_rate: 0.246358 loss_vfl: 0.766354 loss_bbox: 0.293226 loss_dfl: 0.192345 loss: 1.244940 eta: 1 day, 12:48:25 batch_cost: 2.2428 data_cost: 0.0013 ips: 24.9691 images/s [10/21 21:34:42] ppdet.engine INFO: Epoch: [83] [120/261] learning_rate: 0.246266 loss_vfl: 0.778490 loss_bbox: 0.301985 loss_dfl: 0.197421 loss: 1.263440 eta: 1 day, 12:47:33 batch_cost: 2.2461 data_cost: 0.0013 ips: 24.9323 images/s [10/21 21:35:31] ppdet.engine INFO: Epoch: [83] [140/261] learning_rate: 0.246174 loss_vfl: 0.781541 loss_bbox: 0.294431 loss_dfl: 0.188600 loss: 1.249038 eta: 1 day, 12:46:42 batch_cost: 2.2675 data_cost: 0.0013 ips: 24.6969 images/s [10/21 21:36:20] ppdet.engine INFO: Epoch: [83] [160/261] learning_rate: 0.246081 loss_vfl: 0.779143 loss_bbox: 0.290689 loss_dfl: 0.190428 loss: 1.266238 eta: 1 day, 12:45:51 batch_cost: 2.2569 data_cost: 0.0013 ips: 24.8123 images/s [10/21 21:37:09] ppdet.engine INFO: Epoch: [83] [180/261] learning_rate: 0.245989 loss_vfl: 0.773706 loss_bbox: 0.305015 loss_dfl: 0.201731 loss: 1.264913 eta: 1 day, 12:45:05 batch_cost: 2.3711 data_cost: 0.0013 ips: 23.6177 images/s [10/21 21:37:59] ppdet.engine INFO: Epoch: [83] [200/261] learning_rate: 0.245896 loss_vfl: 0.784304 loss_bbox: 0.295928 loss_dfl: 0.190909 loss: 1.263342 eta: 1 day, 12:44:19 batch_cost: 2.3549 data_cost: 0.0013 ips: 23.7801 images/s [10/21 21:38:49] ppdet.engine INFO: Epoch: [83] [220/261] learning_rate: 0.245804 loss_vfl: 0.755871 loss_bbox: 0.258535 loss_dfl: 0.179302 loss: 1.211690 eta: 1 day, 12:43:35 batch_cost: 2.3990 data_cost: 0.0013 ips: 23.3433 images/s [10/21 21:39:38] ppdet.engine INFO: Epoch: [83] [240/261] learning_rate: 0.245711 loss_vfl: 0.771119 loss_bbox: 0.280275 loss_dfl: 0.185699 loss: 1.247162 eta: 1 day, 12:42:47 batch_cost: 2.3153 data_cost: 0.0013 ips: 24.1872 images/s [10/21 21:40:20] ppdet.engine INFO: Epoch: [83] [260/261] learning_rate: 0.245618 loss_vfl: 0.775162 loss_bbox: 0.297449 loss_dfl: 0.194770 loss: 1.255632 eta: 1 day, 12:41:44 batch_cost: 2.0259 data_cost: 0.0016 ips: 27.6425 images/s [10/21 21:40:43] ppdet.engine INFO: Epoch: [84] [ 0/261] learning_rate: 0.245614 loss_vfl: 0.767180 loss_bbox: 0.297449 loss_dfl: 0.194770 loss: 1.255632 eta: 1 day, 12:42:19 batch_cost: 2.7270 data_cost: 0.4855 ips: 20.5357 images/s [10/21 21:41:38] ppdet.engine INFO: Epoch: [84] [ 20/261] learning_rate: 0.245521 loss_vfl: 0.765776 loss_bbox: 0.272550 loss_dfl: 0.184312 loss: 1.215997 eta: 1 day, 12:41:47 batch_cost: 2.6352 data_cost: 0.0013 ips: 21.2506 images/s [10/21 21:42:28] ppdet.engine INFO: Epoch: [84] [ 40/261] learning_rate: 0.245428 loss_vfl: 0.752577 loss_bbox: 0.309564 loss_dfl: 0.196144 loss: 1.280170 eta: 1 day, 12:41:01 batch_cost: 2.3698 data_cost: 0.0013 ips: 23.6305 images/s [10/21 21:43:19] ppdet.engine INFO: Epoch: [84] [ 60/261] learning_rate: 0.245335 loss_vfl: 0.770867 loss_bbox: 0.298959 loss_dfl: 0.191098 loss: 1.263625 eta: 1 day, 12:40:20 batch_cost: 2.4417 data_cost: 0.0013 ips: 22.9352 images/s [10/21 21:44:08] ppdet.engine INFO: Epoch: [84] [ 80/261] learning_rate: 0.245242 loss_vfl: 0.754127 loss_bbox: 0.270646 loss_dfl: 0.182454 loss: 1.211191 eta: 1 day, 12:39:33 batch_cost: 2.3584 data_cost: 0.0013 ips: 23.7449 images/s [10/21 21:44:56] ppdet.engine INFO: Epoch: [84] [100/261] learning_rate: 0.245149 loss_vfl: 0.776271 loss_bbox: 0.275882 loss_dfl: 0.191063 loss: 1.258441 eta: 1 day, 12:38:41 batch_cost: 2.2358 data_cost: 0.0014 ips: 25.0467 images/s [10/21 21:45:44] ppdet.engine INFO: Epoch: [84] [120/261] learning_rate: 0.245056 loss_vfl: 0.778803 loss_bbox: 0.294081 loss_dfl: 0.186291 loss: 1.251975 eta: 1 day, 12:37:51 batch_cost: 2.2927 data_cost: 0.0014 ips: 24.4253 images/s [10/21 21:46:33] ppdet.engine INFO: Epoch: [84] [140/261] learning_rate: 0.244963 loss_vfl: 0.782416 loss_bbox: 0.282293 loss_dfl: 0.190544 loss: 1.254025 eta: 1 day, 12:37:04 batch_cost: 2.3361 data_cost: 0.0014 ips: 23.9721 images/s [10/21 21:47:21] ppdet.engine INFO: Epoch: [84] [160/261] learning_rate: 0.244870 loss_vfl: 0.784237 loss_bbox: 0.272649 loss_dfl: 0.182629 loss: 1.233281 eta: 1 day, 12:36:13 batch_cost: 2.2593 data_cost: 0.0013 ips: 24.7870 images/s [10/21 21:48:08] ppdet.engine INFO: Epoch: [84] [180/261] learning_rate: 0.244776 loss_vfl: 0.766086 loss_bbox: 0.275886 loss_dfl: 0.179887 loss: 1.224143 eta: 1 day, 12:35:22 batch_cost: 2.2599 data_cost: 0.0066 ips: 24.7804 images/s [10/21 21:48:57] ppdet.engine INFO: Epoch: [84] [200/261] learning_rate: 0.244683 loss_vfl: 0.776185 loss_bbox: 0.298385 loss_dfl: 0.190544 loss: 1.249258 eta: 1 day, 12:34:33 batch_cost: 2.3156 data_cost: 0.0013 ips: 24.1842 images/s [10/21 21:49:46] ppdet.engine INFO: Epoch: [84] [220/261] learning_rate: 0.244590 loss_vfl: 0.770224 loss_bbox: 0.318311 loss_dfl: 0.196466 loss: 1.278093 eta: 1 day, 12:33:45 batch_cost: 2.3197 data_cost: 0.0013 ips: 24.1406 images/s [10/21 21:50:36] ppdet.engine INFO: Epoch: [84] [240/261] learning_rate: 0.244496 loss_vfl: 0.783048 loss_bbox: 0.295560 loss_dfl: 0.198673 loss: 1.265493 eta: 1 day, 12:32:58 batch_cost: 2.3425 data_cost: 0.0014 ips: 23.9056 images/s [10/21 21:51:17] ppdet.engine INFO: Epoch: [84] [260/261] learning_rate: 0.244403 loss_vfl: 0.778210 loss_bbox: 0.268069 loss_dfl: 0.179342 loss: 1.231676 eta: 1 day, 12:31:50 batch_cost: 1.9097 data_cost: 0.0090 ips: 29.3239 images/s [10/21 21:51:40] ppdet.engine INFO: Epoch: [85] [ 0/261] learning_rate: 0.244398 loss_vfl: 0.784780 loss_bbox: 0.271171 loss_dfl: 0.183140 loss: 1.239256 eta: 1 day, 12:32:27 batch_cost: 2.7143 data_cost: 0.4911 ips: 20.6318 images/s [10/21 21:52:33] ppdet.engine INFO: Epoch: [85] [ 20/261] learning_rate: 0.244304 loss_vfl: 0.770965 loss_bbox: 0.277320 loss_dfl: 0.185090 loss: 1.233582 eta: 1 day, 12:31:47 batch_cost: 2.4824 data_cost: 0.0013 ips: 22.5590 images/s [10/21 21:53:23] ppdet.engine INFO: Epoch: [85] [ 40/261] learning_rate: 0.244211 loss_vfl: 0.780530 loss_bbox: 0.284543 loss_dfl: 0.197019 loss: 1.264036 eta: 1 day, 12:31:01 batch_cost: 2.3721 data_cost: 0.0014 ips: 23.6073 images/s [10/21 21:54:13] ppdet.engine INFO: Epoch: [85] [ 60/261] learning_rate: 0.244117 loss_vfl: 0.767537 loss_bbox: 0.303730 loss_dfl: 0.194094 loss: 1.262970 eta: 1 day, 12:30:14 batch_cost: 2.3460 data_cost: 0.0014 ips: 23.8703 images/s [10/21 21:55:03] ppdet.engine INFO: Epoch: [85] [ 80/261] learning_rate: 0.244023 loss_vfl: 0.769632 loss_bbox: 0.285046 loss_dfl: 0.178926 loss: 1.227142 eta: 1 day, 12:29:31 batch_cost: 2.4050 data_cost: 0.0013 ips: 23.2852 images/s [10/21 21:55:53] ppdet.engine INFO: Epoch: [85] [100/261] learning_rate: 0.243930 loss_vfl: 0.765549 loss_bbox: 0.301054 loss_dfl: 0.192524 loss: 1.249368 eta: 1 day, 12:28:45 batch_cost: 2.3723 data_cost: 0.0013 ips: 23.6060 images/s [10/21 21:56:42] ppdet.engine INFO: Epoch: [85] [120/261] learning_rate: 0.243836 loss_vfl: 0.756979 loss_bbox: 0.276306 loss_dfl: 0.184844 loss: 1.228149 eta: 1 day, 12:27:55 batch_cost: 2.2826 data_cost: 0.0012 ips: 24.5337 images/s [10/21 21:57:33] ppdet.engine INFO: Epoch: [85] [140/261] learning_rate: 0.243742 loss_vfl: 0.753610 loss_bbox: 0.284585 loss_dfl: 0.182810 loss: 1.205287 eta: 1 day, 12:27:09 batch_cost: 2.3698 data_cost: 0.0013 ips: 23.6308 images/s [10/21 21:58:22] ppdet.engine INFO: Epoch: [85] [160/261] learning_rate: 0.243648 loss_vfl: 0.765820 loss_bbox: 0.275863 loss_dfl: 0.187172 loss: 1.238286 eta: 1 day, 12:26:21 batch_cost: 2.3165 data_cost: 0.0013 ips: 24.1739 images/s [10/21 21:59:10] ppdet.engine INFO: Epoch: [85] [180/261] learning_rate: 0.243554 loss_vfl: 0.757500 loss_bbox: 0.287615 loss_dfl: 0.184045 loss: 1.238211 eta: 1 day, 12:25:31 batch_cost: 2.2730 data_cost: 0.0013 ips: 24.6372 images/s [10/21 21:59:59] ppdet.engine INFO: Epoch: [85] [200/261] learning_rate: 0.243460 loss_vfl: 0.789360 loss_bbox: 0.285690 loss_dfl: 0.194381 loss: 1.242273 eta: 1 day, 12:24:44 batch_cost: 2.3450 data_cost: 0.0013 ips: 23.8801 images/s [10/21 22:00:48] ppdet.engine INFO: Epoch: [85] [220/261] learning_rate: 0.243365 loss_vfl: 0.788818 loss_bbox: 0.282276 loss_dfl: 0.190748 loss: 1.256647 eta: 1 day, 12:23:56 batch_cost: 2.3231 data_cost: 0.0013 ips: 24.1056 images/s [10/21 22:01:38] ppdet.engine INFO: Epoch: [85] [240/261] learning_rate: 0.243271 loss_vfl: 0.772898 loss_bbox: 0.282691 loss_dfl: 0.186070 loss: 1.257729 eta: 1 day, 12:23:09 batch_cost: 2.3451 data_cost: 0.0013 ips: 23.8797 images/s [10/21 22:02:21] ppdet.engine INFO: Epoch: [85] [260/261] learning_rate: 0.243177 loss_vfl: 0.772420 loss_bbox: 0.297052 loss_dfl: 0.195481 loss: 1.262934 eta: 1 day, 12:22:06 batch_cost: 2.0295 data_cost: 0.0013 ips: 27.5929 images/s [10/21 22:02:43] ppdet.engine INFO: Epoch: [86] [ 0/261] learning_rate: 0.243172 loss_vfl: 0.776361 loss_bbox: 0.297052 loss_dfl: 0.195481 loss: 1.266239 eta: 1 day, 12:22:39 batch_cost: 2.7362 data_cost: 0.4196 ips: 20.4664 images/s [10/21 22:03:37] ppdet.engine INFO: Epoch: [86] [ 20/261] learning_rate: 0.243078 loss_vfl: 0.757478 loss_bbox: 0.287282 loss_dfl: 0.192256 loss: 1.238858 eta: 1 day, 12:22:02 batch_cost: 2.5468 data_cost: 0.0013 ips: 21.9888 images/s [10/21 22:04:23] ppdet.engine INFO: Epoch: [86] [ 40/261] learning_rate: 0.242983 loss_vfl: 0.756409 loss_bbox: 0.278129 loss_dfl: 0.188022 loss: 1.234242 eta: 1 day, 12:21:08 batch_cost: 2.2031 data_cost: 0.0013 ips: 25.4188 images/s [10/21 22:05:09] ppdet.engine INFO: Epoch: [86] [ 60/261] learning_rate: 0.242889 loss_vfl: 0.741774 loss_bbox: 0.280341 loss_dfl: 0.180651 loss: 1.211642 eta: 1 day, 12:20:09 batch_cost: 2.1040 data_cost: 0.0013 ips: 26.6154 images/s [10/21 22:05:56] ppdet.engine INFO: Epoch: [86] [ 80/261] learning_rate: 0.242794 loss_vfl: 0.767204 loss_bbox: 0.292660 loss_dfl: 0.185036 loss: 1.256579 eta: 1 day, 12:19:17 batch_cost: 2.2478 data_cost: 0.0102 ips: 24.9131 images/s [10/21 22:06:44] ppdet.engine INFO: Epoch: [86] [100/261] learning_rate: 0.242700 loss_vfl: 0.763229 loss_bbox: 0.279298 loss_dfl: 0.187635 loss: 1.230627 eta: 1 day, 12:18:27 batch_cost: 2.2773 data_cost: 0.0013 ips: 24.5902 images/s [10/21 22:07:35] ppdet.engine INFO: Epoch: [86] [120/261] learning_rate: 0.242605 loss_vfl: 0.777859 loss_bbox: 0.282425 loss_dfl: 0.189464 loss: 1.240916 eta: 1 day, 12:17:39 batch_cost: 2.3196 data_cost: 0.0013 ips: 24.1425 images/s [10/21 22:08:27] ppdet.engine INFO: Epoch: [86] [140/261] learning_rate: 0.242510 loss_vfl: 0.762152 loss_bbox: 0.277373 loss_dfl: 0.189127 loss: 1.222503 eta: 1 day, 12:16:55 batch_cost: 2.3918 data_cost: 0.0014 ips: 23.4137 images/s [10/21 22:09:17] ppdet.engine INFO: Epoch: [86] [160/261] learning_rate: 0.242416 loss_vfl: 0.775683 loss_bbox: 0.283559 loss_dfl: 0.188803 loss: 1.246158 eta: 1 day, 12:16:08 batch_cost: 2.3605 data_cost: 0.0013 ips: 23.7237 images/s [10/21 22:10:05] ppdet.engine INFO: Epoch: [86] [180/261] learning_rate: 0.242321 loss_vfl: 0.775669 loss_bbox: 0.284920 loss_dfl: 0.186806 loss: 1.256408 eta: 1 day, 12:15:19 batch_cost: 2.2868 data_cost: 0.0012 ips: 24.4886 images/s [10/21 22:10:55] ppdet.engine INFO: Epoch: [86] [200/261] learning_rate: 0.242226 loss_vfl: 0.774063 loss_bbox: 0.285908 loss_dfl: 0.184535 loss: 1.237452 eta: 1 day, 12:14:29 batch_cost: 2.2939 data_cost: 0.0014 ips: 24.4128 images/s [10/21 22:11:43] ppdet.engine INFO: Epoch: [86] [220/261] learning_rate: 0.242131 loss_vfl: 0.766475 loss_bbox: 0.289254 loss_dfl: 0.195595 loss: 1.254291 eta: 1 day, 12:13:39 batch_cost: 2.2798 data_cost: 0.0014 ips: 24.5631 images/s [10/21 22:12:33] ppdet.engine INFO: Epoch: [86] [240/261] learning_rate: 0.242036 loss_vfl: 0.764790 loss_bbox: 0.286528 loss_dfl: 0.193951 loss: 1.255255 eta: 1 day, 12:12:52 batch_cost: 2.3270 data_cost: 0.0013 ips: 24.0658 images/s [10/21 22:13:18] ppdet.engine INFO: Epoch: [86] [260/261] learning_rate: 0.241941 loss_vfl: 0.761808 loss_bbox: 0.283556 loss_dfl: 0.190040 loss: 1.236742 eta: 1 day, 12:11:54 batch_cost: 2.1196 data_cost: 0.0012 ips: 26.4199 images/s [10/21 22:13:41] ppdet.engine INFO: Epoch: [87] [ 0/261] learning_rate: 0.241936 loss_vfl: 0.762400 loss_bbox: 0.285660 loss_dfl: 0.191578 loss: 1.242855 eta: 1 day, 12:12:30 batch_cost: 2.9339 data_cost: 0.5197 ips: 19.0875 images/s [10/21 22:14:35] ppdet.engine INFO: Epoch: [87] [ 20/261] learning_rate: 0.241841 loss_vfl: 0.761045 loss_bbox: 0.277515 loss_dfl: 0.191458 loss: 1.237930 eta: 1 day, 12:11:52 batch_cost: 2.5200 data_cost: 0.0013 ips: 22.2222 images/s [10/21 22:15:24] ppdet.engine INFO: Epoch: [87] [ 40/261] learning_rate: 0.241746 loss_vfl: 0.754839 loss_bbox: 0.276350 loss_dfl: 0.182134 loss: 1.214214 eta: 1 day, 12:11:04 batch_cost: 2.3323 data_cost: 0.0013 ips: 24.0104 images/s [10/21 22:16:12] ppdet.engine INFO: Epoch: [87] [ 60/261] learning_rate: 0.241650 loss_vfl: 0.773017 loss_bbox: 0.265385 loss_dfl: 0.186029 loss: 1.221003 eta: 1 day, 12:10:11 batch_cost: 2.2280 data_cost: 0.0013 ips: 25.1345 images/s [10/21 22:17:01] ppdet.engine INFO: Epoch: [87] [ 80/261] learning_rate: 0.241555 loss_vfl: 0.772553 loss_bbox: 0.277532 loss_dfl: 0.188977 loss: 1.237499 eta: 1 day, 12:09:21 batch_cost: 2.2730 data_cost: 0.0013 ips: 24.6371 images/s [10/21 22:17:49] ppdet.engine INFO: Epoch: [87] [100/261] learning_rate: 0.241460 loss_vfl: 0.787818 loss_bbox: 0.276103 loss_dfl: 0.187392 loss: 1.247007 eta: 1 day, 12:08:31 batch_cost: 2.2755 data_cost: 0.0013 ips: 24.6104 images/s [10/21 22:18:39] ppdet.engine INFO: Epoch: [87] [120/261] learning_rate: 0.241364 loss_vfl: 0.774708 loss_bbox: 0.285221 loss_dfl: 0.186319 loss: 1.232770 eta: 1 day, 12:07:44 batch_cost: 2.3544 data_cost: 0.0015 ips: 23.7855 images/s [10/21 22:19:28] ppdet.engine INFO: Epoch: [87] [140/261] learning_rate: 0.241269 loss_vfl: 0.775434 loss_bbox: 0.290166 loss_dfl: 0.184284 loss: 1.240233 eta: 1 day, 12:06:55 batch_cost: 2.2848 data_cost: 0.0013 ips: 24.5093 images/s [10/21 22:20:16] ppdet.engine INFO: Epoch: [87] [160/261] learning_rate: 0.241173 loss_vfl: 0.766262 loss_bbox: 0.285943 loss_dfl: 0.190503 loss: 1.248178 eta: 1 day, 12:06:03 batch_cost: 2.2574 data_cost: 0.0014 ips: 24.8072 images/s [10/21 22:21:01] ppdet.engine INFO: Epoch: [87] [180/261] learning_rate: 0.241078 loss_vfl: 0.767216 loss_bbox: 0.286354 loss_dfl: 0.185674 loss: 1.268970 eta: 1 day, 12:05:08 batch_cost: 2.1740 data_cost: 0.0014 ips: 25.7590 images/s [10/21 22:21:48] ppdet.engine INFO: Epoch: [87] [200/261] learning_rate: 0.240982 loss_vfl: 0.772480 loss_bbox: 0.276946 loss_dfl: 0.187576 loss: 1.237155 eta: 1 day, 12:04:10 batch_cost: 2.0975 data_cost: 0.0014 ips: 26.6982 images/s [10/21 22:22:37] ppdet.engine INFO: Epoch: [87] [220/261] learning_rate: 0.240886 loss_vfl: 0.766109 loss_bbox: 0.290925 loss_dfl: 0.190252 loss: 1.240355 eta: 1 day, 12:03:22 batch_cost: 2.3246 data_cost: 0.0014 ips: 24.0897 images/s [10/21 22:23:28] ppdet.engine INFO: Epoch: [87] [240/261] learning_rate: 0.240791 loss_vfl: 0.761541 loss_bbox: 0.284817 loss_dfl: 0.191792 loss: 1.252131 eta: 1 day, 12:02:38 batch_cost: 2.4189 data_cost: 0.0013 ips: 23.1506 images/s [10/21 22:24:12] ppdet.engine INFO: Epoch: [87] [260/261] learning_rate: 0.240695 loss_vfl: 0.770180 loss_bbox: 0.288602 loss_dfl: 0.189881 loss: 1.254562 eta: 1 day, 12:01:40 batch_cost: 2.0950 data_cost: 0.0014 ips: 26.7302 images/s [10/21 22:24:35] ppdet.engine INFO: Epoch: [88] [ 0/261] learning_rate: 0.240690 loss_vfl: 0.766375 loss_bbox: 0.289159 loss_dfl: 0.192914 loss: 1.254562 eta: 1 day, 12:02:14 batch_cost: 2.8901 data_cost: 0.3022 ips: 19.3764 images/s [10/21 22:25:28] ppdet.engine INFO: Epoch: [88] [ 20/261] learning_rate: 0.240594 loss_vfl: 0.773969 loss_bbox: 0.288290 loss_dfl: 0.192686 loss: 1.248016 eta: 1 day, 12:01:32 batch_cost: 2.4531 data_cost: 0.0014 ips: 22.8283 images/s [10/21 22:26:19] ppdet.engine INFO: Epoch: [88] [ 40/261] learning_rate: 0.240498 loss_vfl: 0.779995 loss_bbox: 0.278706 loss_dfl: 0.181342 loss: 1.255313 eta: 1 day, 12:00:47 batch_cost: 2.3861 data_cost: 0.0013 ips: 23.4691 images/s [10/21 22:27:06] ppdet.engine INFO: Epoch: [88] [ 60/261] learning_rate: 0.240402 loss_vfl: 0.777794 loss_bbox: 0.280935 loss_dfl: 0.188397 loss: 1.247167 eta: 1 day, 11:59:56 batch_cost: 2.2452 data_cost: 0.0013 ips: 24.9417 images/s [10/21 22:27:56] ppdet.engine INFO: Epoch: [88] [ 80/261] learning_rate: 0.240306 loss_vfl: 0.778540 loss_bbox: 0.266065 loss_dfl: 0.182985 loss: 1.228950 eta: 1 day, 11:59:08 batch_cost: 2.3289 data_cost: 0.0015 ips: 24.0456 images/s [10/21 22:28:42] ppdet.engine INFO: Epoch: [88] [100/261] learning_rate: 0.240210 loss_vfl: 0.765476 loss_bbox: 0.293173 loss_dfl: 0.188984 loss: 1.237227 eta: 1 day, 11:58:14 batch_cost: 2.1995 data_cost: 0.0015 ips: 25.4603 images/s [10/21 22:29:31] ppdet.engine INFO: Epoch: [88] [120/261] learning_rate: 0.240114 loss_vfl: 0.771433 loss_bbox: 0.303186 loss_dfl: 0.191483 loss: 1.246325 eta: 1 day, 11:57:27 batch_cost: 2.3371 data_cost: 0.0013 ips: 23.9614 images/s [10/21 22:30:22] ppdet.engine INFO: Epoch: [88] [140/261] learning_rate: 0.240017 loss_vfl: 0.790369 loss_bbox: 0.290476 loss_dfl: 0.192980 loss: 1.243084 eta: 1 day, 11:56:43 batch_cost: 2.4100 data_cost: 0.0014 ips: 23.2362 images/s [10/21 22:31:09] ppdet.engine INFO: Epoch: [88] [160/261] learning_rate: 0.239921 loss_vfl: 0.766277 loss_bbox: 0.300729 loss_dfl: 0.195970 loss: 1.245365 eta: 1 day, 11:55:51 batch_cost: 2.2313 data_cost: 0.0013 ips: 25.0969 images/s [10/21 22:31:57] ppdet.engine INFO: Epoch: [88] [180/261] learning_rate: 0.239825 loss_vfl: 0.783485 loss_bbox: 0.265841 loss_dfl: 0.177224 loss: 1.229614 eta: 1 day, 11:55:00 batch_cost: 2.2654 data_cost: 0.0014 ips: 24.7198 images/s [10/21 22:32:46] ppdet.engine INFO: Epoch: [88] [200/261] learning_rate: 0.239728 loss_vfl: 0.770867 loss_bbox: 0.295644 loss_dfl: 0.191540 loss: 1.260863 eta: 1 day, 11:54:14 batch_cost: 2.3548 data_cost: 0.0013 ips: 23.7814 images/s [10/21 22:33:34] ppdet.engine INFO: Epoch: [88] [220/261] learning_rate: 0.239632 loss_vfl: 0.763170 loss_bbox: 0.270353 loss_dfl: 0.188370 loss: 1.226959 eta: 1 day, 11:53:24 batch_cost: 2.2749 data_cost: 0.0013 ips: 24.6165 images/s [10/21 22:34:24] ppdet.engine INFO: Epoch: [88] [240/261] learning_rate: 0.239535 loss_vfl: 0.779207 loss_bbox: 0.267761 loss_dfl: 0.180487 loss: 1.225564 eta: 1 day, 11:52:39 batch_cost: 2.3945 data_cost: 0.0013 ips: 23.3871 images/s [10/21 22:35:07] ppdet.engine INFO: Epoch: [88] [260/261] learning_rate: 0.239439 loss_vfl: 0.765052 loss_bbox: 0.296844 loss_dfl: 0.188427 loss: 1.256912 eta: 1 day, 11:51:38 batch_cost: 2.0411 data_cost: 0.0012 ips: 27.4368 images/s [10/21 22:35:31] ppdet.engine INFO: Epoch: [89] [ 0/261] learning_rate: 0.239434 loss_vfl: 0.765052 loss_bbox: 0.296844 loss_dfl: 0.188427 loss: 1.256912 eta: 1 day, 11:52:11 batch_cost: 2.7795 data_cost: 0.4993 ips: 20.1477 images/s [10/21 22:36:23] ppdet.engine INFO: Epoch: [89] [ 20/261] learning_rate: 0.239337 loss_vfl: 0.750610 loss_bbox: 0.265126 loss_dfl: 0.176231 loss: 1.199471 eta: 1 day, 11:51:33 batch_cost: 2.5373 data_cost: 0.0013 ips: 22.0703 images/s [10/21 22:37:14] ppdet.engine INFO: Epoch: [89] [ 40/261] learning_rate: 0.239240 loss_vfl: 0.767857 loss_bbox: 0.273049 loss_dfl: 0.184850 loss: 1.225789 eta: 1 day, 11:50:45 batch_cost: 2.3260 data_cost: 0.0013 ips: 24.0758 images/s [10/21 22:38:03] ppdet.engine INFO: Epoch: [89] [ 60/261] learning_rate: 0.239144 loss_vfl: 0.765554 loss_bbox: 0.269009 loss_dfl: 0.181867 loss: 1.249808 eta: 1 day, 11:49:58 batch_cost: 2.3291 data_cost: 0.0013 ips: 24.0434 images/s [10/21 22:38:51] ppdet.engine INFO: Epoch: [89] [ 80/261] learning_rate: 0.239047 loss_vfl: 0.778162 loss_bbox: 0.282543 loss_dfl: 0.185603 loss: 1.246603 eta: 1 day, 11:49:08 batch_cost: 2.2763 data_cost: 0.0013 ips: 24.6017 images/s [10/21 22:39:38] ppdet.engine INFO: Epoch: [89] [100/261] learning_rate: 0.238950 loss_vfl: 0.758687 loss_bbox: 0.294026 loss_dfl: 0.191316 loss: 1.256591 eta: 1 day, 11:48:16 batch_cost: 2.2335 data_cost: 0.0013 ips: 25.0728 images/s [10/21 22:40:28] ppdet.engine INFO: Epoch: [89] [120/261] learning_rate: 0.238853 loss_vfl: 0.770783 loss_bbox: 0.279787 loss_dfl: 0.190416 loss: 1.230855 eta: 1 day, 11:47:25 batch_cost: 2.2769 data_cost: 0.0013 ips: 24.5953 images/s [10/21 22:41:18] ppdet.engine INFO: Epoch: [89] [140/261] learning_rate: 0.238756 loss_vfl: 0.762335 loss_bbox: 0.271738 loss_dfl: 0.184634 loss: 1.240643 eta: 1 day, 11:46:39 batch_cost: 2.3507 data_cost: 0.0013 ips: 23.8226 images/s [10/21 22:42:08] ppdet.engine INFO: Epoch: [89] [160/261] learning_rate: 0.238659 loss_vfl: 0.768609 loss_bbox: 0.291156 loss_dfl: 0.193920 loss: 1.253290 eta: 1 day, 11:45:52 batch_cost: 2.3523 data_cost: 0.0014 ips: 23.8061 images/s [10/21 22:42:59] ppdet.engine INFO: Epoch: [89] [180/261] learning_rate: 0.238562 loss_vfl: 0.773608 loss_bbox: 0.285790 loss_dfl: 0.185858 loss: 1.245994 eta: 1 day, 11:45:07 batch_cost: 2.3766 data_cost: 0.0012 ips: 23.5634 images/s [10/21 22:43:47] ppdet.engine INFO: Epoch: [89] [200/261] learning_rate: 0.238465 loss_vfl: 0.766719 loss_bbox: 0.295909 loss_dfl: 0.195287 loss: 1.250080 eta: 1 day, 11:44:18 batch_cost: 2.2918 data_cost: 0.0013 ips: 24.4354 images/s [10/21 22:44:32] ppdet.engine INFO: Epoch: [89] [220/261] learning_rate: 0.238367 loss_vfl: 0.769645 loss_bbox: 0.291251 loss_dfl: 0.192061 loss: 1.238315 eta: 1 day, 11:43:18 batch_cost: 2.0685 data_cost: 0.0013 ips: 27.0734 images/s [10/21 22:45:21] ppdet.engine INFO: Epoch: [89] [240/261] learning_rate: 0.238270 loss_vfl: 0.761422 loss_bbox: 0.296000 loss_dfl: 0.192801 loss: 1.249094 eta: 1 day, 11:42:29 batch_cost: 2.3132 data_cost: 0.0014 ips: 24.2090 images/s [10/21 22:46:05] ppdet.engine INFO: Epoch: [89] [260/261] learning_rate: 0.238173 loss_vfl: 0.780622 loss_bbox: 0.293238 loss_dfl: 0.195189 loss: 1.270013 eta: 1 day, 11:41:29 batch_cost: 2.0538 data_cost: 0.0012 ips: 27.2666 images/s [10/21 22:46:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 22:46:11] ppdet.engine INFO: Eval iter: 0 [10/21 22:46:39] ppdet.engine INFO: Eval iter: 100 [10/21 22:46:54] ppdet.engine INFO: Eval iter: 200 [10/21 22:47:09] ppdet.engine INFO: Eval iter: 300 [10/21 22:47:25] ppdet.engine INFO: Eval iter: 400 [10/21 22:47:40] ppdet.engine INFO: Eval iter: 500 [10/21 22:47:56] ppdet.engine INFO: Eval iter: 600 [10/21 22:48:11] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.92s) creating index... index created! [10/21 22:48:12] 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=71.45s). Accumulating evaluation results... DONE (t=12.53s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.351 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.515 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.370 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.145 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.380 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.550 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.297 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.467 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.498 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.227 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.733 [10/21 22:49:43] ppdet.engine INFO: Total sample number: 4952, averge FPS: 44.81667758346461 [10/21 22:49:43] ppdet.engine INFO: Best test bbox ap is 0.351. [10/21 22:49:43] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/21 22:49:46] ppdet.engine INFO: Epoch: [90] [ 0/261] learning_rate: 0.238168 loss_vfl: 0.776189 loss_bbox: 0.298891 loss_dfl: 0.195525 loss: 1.275982 eta: 1 day, 11:41:29 batch_cost: 2.0457 data_cost: 0.0013 ips: 27.3748 images/s [10/21 22:50:40] ppdet.engine INFO: Epoch: [90] [ 20/261] learning_rate: 0.238070 loss_vfl: 0.767769 loss_bbox: 0.302488 loss_dfl: 0.196781 loss: 1.272629 eta: 1 day, 11:40:49 batch_cost: 2.4990 data_cost: 0.0016 ips: 22.4092 images/s [10/21 22:51:29] ppdet.engine INFO: Epoch: [90] [ 40/261] learning_rate: 0.237973 loss_vfl: 0.758424 loss_bbox: 0.274855 loss_dfl: 0.183831 loss: 1.215426 eta: 1 day, 11:40:01 batch_cost: 2.3260 data_cost: 0.0015 ips: 24.0756 images/s [10/21 22:52:20] ppdet.engine INFO: Epoch: [90] [ 60/261] learning_rate: 0.237875 loss_vfl: 0.767642 loss_bbox: 0.299880 loss_dfl: 0.188294 loss: 1.262951 eta: 1 day, 11:39:16 batch_cost: 2.3699 data_cost: 0.0013 ips: 23.6292 images/s [10/21 22:53:06] ppdet.engine INFO: Epoch: [90] [ 80/261] learning_rate: 0.237778 loss_vfl: 0.764086 loss_bbox: 0.287374 loss_dfl: 0.190592 loss: 1.241380 eta: 1 day, 11:38:19 batch_cost: 2.1248 data_cost: 0.0014 ips: 26.3550 images/s [10/21 22:53:56] ppdet.engine INFO: Epoch: [90] [100/261] learning_rate: 0.237680 loss_vfl: 0.784096 loss_bbox: 0.288739 loss_dfl: 0.199661 loss: 1.268717 eta: 1 day, 11:37:32 batch_cost: 2.3416 data_cost: 0.0013 ips: 23.9148 images/s [10/21 22:54:43] ppdet.engine INFO: Epoch: [90] [120/261] learning_rate: 0.237582 loss_vfl: 0.769175 loss_bbox: 0.267947 loss_dfl: 0.179405 loss: 1.225140 eta: 1 day, 11:36:41 batch_cost: 2.2646 data_cost: 0.0013 ips: 24.7284 images/s [10/21 22:55:31] ppdet.engine INFO: Epoch: [90] [140/261] learning_rate: 0.237485 loss_vfl: 0.749070 loss_bbox: 0.296472 loss_dfl: 0.194140 loss: 1.246604 eta: 1 day, 11:35:50 batch_cost: 2.2626 data_cost: 0.0014 ips: 24.7504 images/s [10/21 22:56:19] ppdet.engine INFO: Epoch: [90] [160/261] learning_rate: 0.237387 loss_vfl: 0.762416 loss_bbox: 0.279867 loss_dfl: 0.184407 loss: 1.193519 eta: 1 day, 11:35:01 batch_cost: 2.2991 data_cost: 0.0013 ips: 24.3577 images/s [10/21 22:57:08] ppdet.engine INFO: Epoch: [90] [180/261] learning_rate: 0.237289 loss_vfl: 0.787055 loss_bbox: 0.285448 loss_dfl: 0.187616 loss: 1.267794 eta: 1 day, 11:34:13 batch_cost: 2.3050 data_cost: 0.0013 ips: 24.2946 images/s [10/21 22:57:57] ppdet.engine INFO: Epoch: [90] [200/261] learning_rate: 0.237191 loss_vfl: 0.760528 loss_bbox: 0.296961 loss_dfl: 0.189985 loss: 1.240767 eta: 1 day, 11:33:25 batch_cost: 2.3206 data_cost: 0.0013 ips: 24.1317 images/s [10/21 22:58:47] ppdet.engine INFO: Epoch: [90] [220/261] learning_rate: 0.237093 loss_vfl: 0.771788 loss_bbox: 0.262949 loss_dfl: 0.183589 loss: 1.222521 eta: 1 day, 11:32:38 batch_cost: 2.3409 data_cost: 0.0014 ips: 23.9224 images/s [10/21 22:59:36] ppdet.engine INFO: Epoch: [90] [240/261] learning_rate: 0.236995 loss_vfl: 0.768398 loss_bbox: 0.291539 loss_dfl: 0.196086 loss: 1.253256 eta: 1 day, 11:31:48 batch_cost: 2.2850 data_cost: 0.0013 ips: 24.5078 images/s [10/21 23:00:18] ppdet.engine INFO: Epoch: [90] [260/261] learning_rate: 0.236897 loss_vfl: 0.773527 loss_bbox: 0.270020 loss_dfl: 0.181454 loss: 1.223769 eta: 1 day, 11:30:46 batch_cost: 2.0128 data_cost: 0.0012 ips: 27.8220 images/s [10/21 23:00:41] ppdet.engine INFO: Epoch: [91] [ 0/261] learning_rate: 0.236892 loss_vfl: 0.773527 loss_bbox: 0.268110 loss_dfl: 0.181454 loss: 1.223769 eta: 1 day, 11:31:19 batch_cost: 2.7943 data_cost: 0.4980 ips: 20.0404 images/s [10/21 23:01:36] ppdet.engine INFO: Epoch: [91] [ 20/261] learning_rate: 0.236794 loss_vfl: 0.767106 loss_bbox: 0.294626 loss_dfl: 0.186055 loss: 1.218984 eta: 1 day, 11:30:44 batch_cost: 2.5983 data_cost: 0.0014 ips: 21.5529 images/s [10/21 23:02:23] ppdet.engine INFO: Epoch: [91] [ 40/261] learning_rate: 0.236696 loss_vfl: 0.763985 loss_bbox: 0.304768 loss_dfl: 0.195577 loss: 1.254828 eta: 1 day, 11:29:53 batch_cost: 2.2577 data_cost: 0.0015 ips: 24.8045 images/s [10/21 23:03:13] ppdet.engine INFO: Epoch: [91] [ 60/261] learning_rate: 0.236598 loss_vfl: 0.765159 loss_bbox: 0.288849 loss_dfl: 0.189668 loss: 1.250889 eta: 1 day, 11:29:08 batch_cost: 2.3923 data_cost: 0.0013 ips: 23.4089 images/s [10/21 23:04:00] ppdet.engine INFO: Epoch: [91] [ 80/261] learning_rate: 0.236499 loss_vfl: 0.789007 loss_bbox: 0.274184 loss_dfl: 0.185030 loss: 1.249702 eta: 1 day, 11:28:15 batch_cost: 2.1997 data_cost: 0.0013 ips: 25.4584 images/s [10/21 23:04:51] ppdet.engine INFO: Epoch: [91] [100/261] learning_rate: 0.236401 loss_vfl: 0.765391 loss_bbox: 0.285785 loss_dfl: 0.187848 loss: 1.225212 eta: 1 day, 11:27:30 batch_cost: 2.3847 data_cost: 0.0014 ips: 23.4829 images/s [10/21 23:05:40] ppdet.engine INFO: Epoch: [91] [120/261] learning_rate: 0.236302 loss_vfl: 0.753699 loss_bbox: 0.291642 loss_dfl: 0.195214 loss: 1.246178 eta: 1 day, 11:26:42 batch_cost: 2.3350 data_cost: 0.0013 ips: 23.9831 images/s [10/21 23:06:27] ppdet.engine INFO: Epoch: [91] [140/261] learning_rate: 0.236204 loss_vfl: 0.745290 loss_bbox: 0.281210 loss_dfl: 0.192776 loss: 1.236984 eta: 1 day, 11:25:49 batch_cost: 2.2006 data_cost: 0.0014 ips: 25.4476 images/s [10/21 23:07:17] ppdet.engine INFO: Epoch: [91] [160/261] learning_rate: 0.236105 loss_vfl: 0.763758 loss_bbox: 0.299326 loss_dfl: 0.194250 loss: 1.272628 eta: 1 day, 11:25:03 batch_cost: 2.3521 data_cost: 0.0013 ips: 23.8086 images/s [10/21 23:08:08] ppdet.engine INFO: Epoch: [91] [180/261] learning_rate: 0.236007 loss_vfl: 0.769896 loss_bbox: 0.275563 loss_dfl: 0.191717 loss: 1.231989 eta: 1 day, 11:24:18 batch_cost: 2.4018 data_cost: 0.0013 ips: 23.3163 images/s [10/21 23:08:56] ppdet.engine INFO: Epoch: [91] [200/261] learning_rate: 0.235908 loss_vfl: 0.754176 loss_bbox: 0.280669 loss_dfl: 0.182649 loss: 1.220752 eta: 1 day, 11:23:28 batch_cost: 2.2614 data_cost: 0.0013 ips: 24.7635 images/s [10/21 23:09:47] ppdet.engine INFO: Epoch: [91] [220/261] learning_rate: 0.235810 loss_vfl: 0.775868 loss_bbox: 0.301214 loss_dfl: 0.197525 loss: 1.250959 eta: 1 day, 11:22:42 batch_cost: 2.3790 data_cost: 0.0013 ips: 23.5393 images/s [10/21 23:10:38] ppdet.engine INFO: Epoch: [91] [240/261] learning_rate: 0.235711 loss_vfl: 0.782613 loss_bbox: 0.269357 loss_dfl: 0.183713 loss: 1.256435 eta: 1 day, 11:21:56 batch_cost: 2.3524 data_cost: 0.0014 ips: 23.8050 images/s [10/21 23:11:23] ppdet.engine INFO: Epoch: [91] [260/261] learning_rate: 0.235612 loss_vfl: 0.762647 loss_bbox: 0.291130 loss_dfl: 0.190587 loss: 1.241580 eta: 1 day, 11:20:59 batch_cost: 2.1293 data_cost: 0.0013 ips: 26.2995 images/s [10/21 23:11:48] ppdet.engine INFO: Epoch: [92] [ 0/261] learning_rate: 0.235607 loss_vfl: 0.762647 loss_bbox: 0.291130 loss_dfl: 0.190587 loss: 1.241580 eta: 1 day, 11:21:36 batch_cost: 2.9328 data_cost: 0.4606 ips: 19.0943 images/s [10/21 23:12:40] ppdet.engine INFO: Epoch: [92] [ 20/261] learning_rate: 0.235508 loss_vfl: 0.758221 loss_bbox: 0.291213 loss_dfl: 0.193047 loss: 1.258729 eta: 1 day, 11:20:56 batch_cost: 2.4891 data_cost: 0.0013 ips: 22.4977 images/s [10/21 23:13:30] ppdet.engine INFO: Epoch: [92] [ 40/261] learning_rate: 0.235409 loss_vfl: 0.744785 loss_bbox: 0.270023 loss_dfl: 0.178981 loss: 1.204441 eta: 1 day, 11:20:10 batch_cost: 2.3775 data_cost: 0.0013 ips: 23.5540 images/s [10/21 23:14:21] ppdet.engine INFO: Epoch: [92] [ 60/261] learning_rate: 0.235310 loss_vfl: 0.753590 loss_bbox: 0.295741 loss_dfl: 0.191385 loss: 1.252550 eta: 1 day, 11:19:25 batch_cost: 2.3774 data_cost: 0.0013 ips: 23.5547 images/s [10/21 23:15:11] ppdet.engine INFO: Epoch: [92] [ 80/261] learning_rate: 0.235211 loss_vfl: 0.784217 loss_bbox: 0.302940 loss_dfl: 0.194734 loss: 1.289028 eta: 1 day, 11:18:38 batch_cost: 2.3375 data_cost: 0.0013 ips: 23.9570 images/s [10/21 23:15:59] ppdet.engine INFO: Epoch: [92] [100/261] learning_rate: 0.235112 loss_vfl: 0.759496 loss_bbox: 0.282567 loss_dfl: 0.188562 loss: 1.233195 eta: 1 day, 11:17:48 batch_cost: 2.2921 data_cost: 0.0013 ips: 24.4316 images/s [10/21 23:16:48] ppdet.engine INFO: Epoch: [92] [120/261] learning_rate: 0.235013 loss_vfl: 0.769154 loss_bbox: 0.300771 loss_dfl: 0.191950 loss: 1.244557 eta: 1 day, 11:17:01 batch_cost: 2.3381 data_cost: 0.0013 ips: 23.9515 images/s [10/21 23:17:36] ppdet.engine INFO: Epoch: [92] [140/261] learning_rate: 0.234914 loss_vfl: 0.758375 loss_bbox: 0.278691 loss_dfl: 0.181128 loss: 1.219384 eta: 1 day, 11:16:10 batch_cost: 2.2426 data_cost: 0.0014 ips: 24.9707 images/s [10/21 23:18:24] ppdet.engine INFO: Epoch: [92] [160/261] learning_rate: 0.234815 loss_vfl: 0.780259 loss_bbox: 0.292789 loss_dfl: 0.187952 loss: 1.249011 eta: 1 day, 11:15:19 batch_cost: 2.2644 data_cost: 0.0013 ips: 24.7310 images/s [10/21 23:19:13] ppdet.engine INFO: Epoch: [92] [180/261] learning_rate: 0.234715 loss_vfl: 0.764193 loss_bbox: 0.281793 loss_dfl: 0.190090 loss: 1.244657 eta: 1 day, 11:14:32 batch_cost: 2.3446 data_cost: 0.0014 ips: 23.8847 images/s [10/21 23:20:01] ppdet.engine INFO: Epoch: [92] [200/261] learning_rate: 0.234616 loss_vfl: 0.767937 loss_bbox: 0.294211 loss_dfl: 0.192858 loss: 1.268079 eta: 1 day, 11:13:43 batch_cost: 2.2990 data_cost: 0.0013 ips: 24.3589 images/s [10/21 23:20:49] ppdet.engine INFO: Epoch: [92] [220/261] learning_rate: 0.234516 loss_vfl: 0.775226 loss_bbox: 0.289588 loss_dfl: 0.191365 loss: 1.243736 eta: 1 day, 11:12:54 batch_cost: 2.2838 data_cost: 0.0013 ips: 24.5211 images/s [10/21 23:21:38] ppdet.engine INFO: Epoch: [92] [240/261] learning_rate: 0.234417 loss_vfl: 0.770652 loss_bbox: 0.297453 loss_dfl: 0.196310 loss: 1.267900 eta: 1 day, 11:12:03 batch_cost: 2.2557 data_cost: 0.0014 ips: 24.8261 images/s [10/21 23:22:20] ppdet.engine INFO: Epoch: [92] [260/261] learning_rate: 0.234317 loss_vfl: 0.759000 loss_bbox: 0.288665 loss_dfl: 0.192803 loss: 1.240928 eta: 1 day, 11:11:01 batch_cost: 2.0176 data_cost: 0.0013 ips: 27.7560 images/s [10/21 23:22:41] ppdet.engine INFO: Epoch: [93] [ 0/261] learning_rate: 0.234313 loss_vfl: 0.759257 loss_bbox: 0.301312 loss_dfl: 0.193271 loss: 1.250248 eta: 1 day, 11:11:27 batch_cost: 2.6604 data_cost: 0.2173 ips: 21.0494 images/s [10/21 23:23:32] ppdet.engine INFO: Epoch: [93] [ 20/261] learning_rate: 0.234213 loss_vfl: 0.758045 loss_bbox: 0.277624 loss_dfl: 0.181319 loss: 1.236490 eta: 1 day, 11:10:45 batch_cost: 2.4495 data_cost: 0.0014 ips: 22.8620 images/s [10/21 23:24:22] ppdet.engine INFO: Epoch: [93] [ 40/261] learning_rate: 0.234113 loss_vfl: 0.767387 loss_bbox: 0.293019 loss_dfl: 0.194668 loss: 1.242986 eta: 1 day, 11:09:58 batch_cost: 2.3528 data_cost: 0.0013 ips: 23.8015 images/s [10/21 23:25:11] ppdet.engine INFO: Epoch: [93] [ 60/261] learning_rate: 0.234014 loss_vfl: 0.757988 loss_bbox: 0.268028 loss_dfl: 0.185684 loss: 1.210037 eta: 1 day, 11:09:09 batch_cost: 2.2916 data_cost: 0.0013 ips: 24.4374 images/s [10/21 23:25:59] ppdet.engine INFO: Epoch: [93] [ 80/261] learning_rate: 0.233914 loss_vfl: 0.771309 loss_bbox: 0.268131 loss_dfl: 0.182198 loss: 1.242415 eta: 1 day, 11:08:17 batch_cost: 2.2341 data_cost: 0.0014 ips: 25.0664 images/s [10/21 23:26:46] ppdet.engine INFO: Epoch: [93] [100/261] learning_rate: 0.233814 loss_vfl: 0.763635 loss_bbox: 0.282985 loss_dfl: 0.189889 loss: 1.231113 eta: 1 day, 11:07:24 batch_cost: 2.1960 data_cost: 0.0013 ips: 25.5015 images/s [10/21 23:27:38] ppdet.engine INFO: Epoch: [93] [120/261] learning_rate: 0.233714 loss_vfl: 0.754606 loss_bbox: 0.266178 loss_dfl: 0.184771 loss: 1.208592 eta: 1 day, 11:06:40 batch_cost: 2.4299 data_cost: 0.0014 ips: 23.0464 images/s [10/21 23:28:28] ppdet.engine INFO: Epoch: [93] [140/261] learning_rate: 0.233614 loss_vfl: 0.757464 loss_bbox: 0.283186 loss_dfl: 0.185730 loss: 1.213041 eta: 1 day, 11:05:55 batch_cost: 2.3694 data_cost: 0.0013 ips: 23.6351 images/s [10/21 23:29:17] ppdet.engine INFO: Epoch: [93] [160/261] learning_rate: 0.233514 loss_vfl: 0.760048 loss_bbox: 0.275163 loss_dfl: 0.184674 loss: 1.208510 eta: 1 day, 11:05:05 batch_cost: 2.2740 data_cost: 0.0013 ips: 24.6257 images/s [10/21 23:30:05] ppdet.engine INFO: Epoch: [93] [180/261] learning_rate: 0.233414 loss_vfl: 0.750920 loss_bbox: 0.294062 loss_dfl: 0.185619 loss: 1.229881 eta: 1 day, 11:04:16 batch_cost: 2.3075 data_cost: 0.0013 ips: 24.2682 images/s [10/21 23:30:54] ppdet.engine INFO: Epoch: [93] [200/261] learning_rate: 0.233314 loss_vfl: 0.766756 loss_bbox: 0.304655 loss_dfl: 0.200190 loss: 1.270138 eta: 1 day, 11:03:28 batch_cost: 2.3085 data_cost: 0.0014 ips: 24.2583 images/s [10/21 23:31:44] ppdet.engine INFO: Epoch: [93] [220/261] learning_rate: 0.233214 loss_vfl: 0.759373 loss_bbox: 0.270461 loss_dfl: 0.185197 loss: 1.211752 eta: 1 day, 11:02:39 batch_cost: 2.3035 data_cost: 0.0013 ips: 24.3109 images/s [10/21 23:32:33] ppdet.engine INFO: Epoch: [93] [240/261] learning_rate: 0.233114 loss_vfl: 0.759062 loss_bbox: 0.283568 loss_dfl: 0.184402 loss: 1.237173 eta: 1 day, 11:01:51 batch_cost: 2.3319 data_cost: 0.0012 ips: 24.0152 images/s [10/21 23:33:17] ppdet.engine INFO: Epoch: [93] [260/261] learning_rate: 0.233014 loss_vfl: 0.766247 loss_bbox: 0.290652 loss_dfl: 0.193289 loss: 1.250693 eta: 1 day, 11:00:52 batch_cost: 2.0594 data_cost: 0.0013 ips: 27.1922 images/s [10/21 23:33:41] ppdet.engine INFO: Epoch: [94] [ 0/261] learning_rate: 0.233009 loss_vfl: 0.766247 loss_bbox: 0.287850 loss_dfl: 0.193846 loss: 1.250693 eta: 1 day, 11:01:23 batch_cost: 2.8345 data_cost: 0.4130 ips: 19.7565 images/s [10/21 23:34:36] ppdet.engine INFO: Epoch: [94] [ 20/261] learning_rate: 0.232908 loss_vfl: 0.757698 loss_bbox: 0.274414 loss_dfl: 0.190076 loss: 1.226442 eta: 1 day, 11:00:50 batch_cost: 2.6541 data_cost: 0.0013 ips: 21.0993 images/s [10/21 23:35:23] ppdet.engine INFO: Epoch: [94] [ 40/261] learning_rate: 0.232808 loss_vfl: 0.749211 loss_bbox: 0.276058 loss_dfl: 0.186095 loss: 1.204302 eta: 1 day, 10:59:56 batch_cost: 2.1891 data_cost: 0.0013 ips: 25.5818 images/s [10/21 23:36:14] ppdet.engine INFO: Epoch: [94] [ 60/261] learning_rate: 0.232708 loss_vfl: 0.762528 loss_bbox: 0.286511 loss_dfl: 0.182384 loss: 1.220406 eta: 1 day, 10:59:12 batch_cost: 2.4201 data_cost: 0.0013 ips: 23.1393 images/s [10/21 23:37:00] ppdet.engine INFO: Epoch: [94] [ 80/261] learning_rate: 0.232607 loss_vfl: 0.773799 loss_bbox: 0.293990 loss_dfl: 0.192298 loss: 1.247441 eta: 1 day, 10:58:18 batch_cost: 2.1684 data_cost: 0.0013 ips: 25.8252 images/s [10/21 23:37:47] ppdet.engine INFO: Epoch: [94] [100/261] learning_rate: 0.232507 loss_vfl: 0.759583 loss_bbox: 0.245784 loss_dfl: 0.168164 loss: 1.175476 eta: 1 day, 10:57:23 batch_cost: 2.1726 data_cost: 0.0013 ips: 25.7762 images/s [10/21 23:38:34] ppdet.engine INFO: Epoch: [94] [120/261] learning_rate: 0.232406 loss_vfl: 0.749801 loss_bbox: 0.264711 loss_dfl: 0.181957 loss: 1.205567 eta: 1 day, 10:56:29 batch_cost: 2.1723 data_cost: 0.0013 ips: 25.7786 images/s [10/21 23:39:22] ppdet.engine INFO: Epoch: [94] [140/261] learning_rate: 0.232306 loss_vfl: 0.772601 loss_bbox: 0.313326 loss_dfl: 0.197182 loss: 1.280342 eta: 1 day, 10:55:35 batch_cost: 2.1849 data_cost: 0.0013 ips: 25.6304 images/s [10/21 23:40:09] ppdet.engine INFO: Epoch: [94] [160/261] learning_rate: 0.232205 loss_vfl: 0.763167 loss_bbox: 0.306494 loss_dfl: 0.194879 loss: 1.278572 eta: 1 day, 10:54:43 batch_cost: 2.2312 data_cost: 0.0013 ips: 25.0983 images/s [10/21 23:40:58] ppdet.engine INFO: Epoch: [94] [180/261] learning_rate: 0.232104 loss_vfl: 0.761646 loss_bbox: 0.279535 loss_dfl: 0.179966 loss: 1.234273 eta: 1 day, 10:53:53 batch_cost: 2.2594 data_cost: 0.0012 ips: 24.7850 images/s [10/21 23:41:44] ppdet.engine INFO: Epoch: [94] [200/261] learning_rate: 0.232004 loss_vfl: 0.764504 loss_bbox: 0.292030 loss_dfl: 0.190878 loss: 1.246895 eta: 1 day, 10:52:59 batch_cost: 2.1814 data_cost: 0.0013 ips: 25.6720 images/s [10/21 23:42:32] ppdet.engine INFO: Epoch: [94] [220/261] learning_rate: 0.231903 loss_vfl: 0.747844 loss_bbox: 0.281699 loss_dfl: 0.188484 loss: 1.243078 eta: 1 day, 10:52:08 batch_cost: 2.2455 data_cost: 0.0013 ips: 24.9393 images/s [10/21 23:43:22] ppdet.engine INFO: Epoch: [94] [240/261] learning_rate: 0.231802 loss_vfl: 0.767765 loss_bbox: 0.274857 loss_dfl: 0.182060 loss: 1.236839 eta: 1 day, 10:51:18 batch_cost: 2.2903 data_cost: 0.0014 ips: 24.4514 images/s [10/21 23:44:05] ppdet.engine INFO: Epoch: [94] [260/261] learning_rate: 0.231701 loss_vfl: 0.763653 loss_bbox: 0.276794 loss_dfl: 0.185152 loss: 1.241128 eta: 1 day, 10:50:18 batch_cost: 2.0288 data_cost: 0.0013 ips: 27.6025 images/s [10/21 23:44:29] ppdet.engine INFO: Epoch: [95] [ 0/261] learning_rate: 0.231696 loss_vfl: 0.760929 loss_bbox: 0.272029 loss_dfl: 0.185152 loss: 1.233203 eta: 1 day, 10:50:49 batch_cost: 2.8357 data_cost: 0.2692 ips: 19.7484 images/s [10/21 23:45:26] ppdet.engine INFO: Epoch: [95] [ 20/261] learning_rate: 0.231595 loss_vfl: 0.753680 loss_bbox: 0.279994 loss_dfl: 0.185985 loss: 1.242656 eta: 1 day, 10:50:14 batch_cost: 2.6251 data_cost: 0.0014 ips: 21.3325 images/s [10/21 23:46:15] ppdet.engine INFO: Epoch: [95] [ 40/261] learning_rate: 0.231494 loss_vfl: 0.747244 loss_bbox: 0.257042 loss_dfl: 0.181006 loss: 1.175980 eta: 1 day, 10:49:23 batch_cost: 2.2359 data_cost: 0.0013 ips: 25.0454 images/s [10/21 23:47:04] ppdet.engine INFO: Epoch: [95] [ 60/261] learning_rate: 0.231393 loss_vfl: 0.754748 loss_bbox: 0.282362 loss_dfl: 0.190785 loss: 1.238962 eta: 1 day, 10:48:36 batch_cost: 2.3592 data_cost: 0.0013 ips: 23.7368 images/s [10/21 23:47:52] ppdet.engine INFO: Epoch: [95] [ 80/261] learning_rate: 0.231292 loss_vfl: 0.776384 loss_bbox: 0.273625 loss_dfl: 0.182493 loss: 1.250025 eta: 1 day, 10:47:46 batch_cost: 2.2526 data_cost: 0.0014 ips: 24.8598 images/s [10/21 23:48:43] ppdet.engine INFO: Epoch: [95] [100/261] learning_rate: 0.231190 loss_vfl: 0.756401 loss_bbox: 0.287658 loss_dfl: 0.180965 loss: 1.217377 eta: 1 day, 10:47:00 batch_cost: 2.3762 data_cost: 0.0013 ips: 23.5667 images/s [10/21 23:49:30] ppdet.engine INFO: Epoch: [95] [120/261] learning_rate: 0.231089 loss_vfl: 0.748895 loss_bbox: 0.286164 loss_dfl: 0.187800 loss: 1.222124 eta: 1 day, 10:46:09 batch_cost: 2.2508 data_cost: 0.0014 ips: 24.8796 images/s [10/21 23:50:18] ppdet.engine INFO: Epoch: [95] [140/261] learning_rate: 0.230988 loss_vfl: 0.767662 loss_bbox: 0.288600 loss_dfl: 0.187586 loss: 1.248600 eta: 1 day, 10:45:19 batch_cost: 2.2664 data_cost: 0.0014 ips: 24.7091 images/s [10/21 23:51:07] ppdet.engine INFO: Epoch: [95] [160/261] learning_rate: 0.230887 loss_vfl: 0.761756 loss_bbox: 0.302615 loss_dfl: 0.195153 loss: 1.261119 eta: 1 day, 10:44:29 batch_cost: 2.2835 data_cost: 0.0013 ips: 24.5238 images/s [10/21 23:51:57] ppdet.engine INFO: Epoch: [95] [180/261] learning_rate: 0.230785 loss_vfl: 0.761438 loss_bbox: 0.283638 loss_dfl: 0.195097 loss: 1.256917 eta: 1 day, 10:43:42 batch_cost: 2.3421 data_cost: 0.0014 ips: 23.9105 images/s [10/21 23:52:44] ppdet.engine INFO: Epoch: [95] [200/261] learning_rate: 0.230684 loss_vfl: 0.762052 loss_bbox: 0.285549 loss_dfl: 0.189444 loss: 1.240178 eta: 1 day, 10:42:49 batch_cost: 2.2011 data_cost: 0.0013 ips: 25.4414 images/s [10/21 23:53:33] ppdet.engine INFO: Epoch: [95] [220/261] learning_rate: 0.230582 loss_vfl: 0.749665 loss_bbox: 0.291349 loss_dfl: 0.190022 loss: 1.225212 eta: 1 day, 10:42:02 batch_cost: 2.3339 data_cost: 0.0013 ips: 23.9945 images/s [10/21 23:54:23] ppdet.engine INFO: Epoch: [95] [240/261] learning_rate: 0.230481 loss_vfl: 0.750598 loss_bbox: 0.278727 loss_dfl: 0.188576 loss: 1.216923 eta: 1 day, 10:41:13 batch_cost: 2.2931 data_cost: 0.0014 ips: 24.4214 images/s [10/21 23:55:05] ppdet.engine INFO: Epoch: [95] [260/261] learning_rate: 0.230379 loss_vfl: 0.774662 loss_bbox: 0.269924 loss_dfl: 0.184550 loss: 1.224332 eta: 1 day, 10:40:10 batch_cost: 1.9681 data_cost: 0.0013 ips: 28.4537 images/s [10/21 23:55:27] ppdet.engine INFO: Epoch: [96] [ 0/261] learning_rate: 0.230374 loss_vfl: 0.771999 loss_bbox: 0.271113 loss_dfl: 0.187233 loss: 1.244411 eta: 1 day, 10:40:39 batch_cost: 2.7362 data_cost: 0.4700 ips: 20.4667 images/s [10/21 23:56:21] ppdet.engine INFO: Epoch: [96] [ 20/261] learning_rate: 0.230272 loss_vfl: 0.751736 loss_bbox: 0.278346 loss_dfl: 0.191365 loss: 1.213561 eta: 1 day, 10:39:57 batch_cost: 2.4633 data_cost: 0.0013 ips: 22.7338 images/s [10/21 23:57:13] ppdet.engine INFO: Epoch: [96] [ 40/261] learning_rate: 0.230171 loss_vfl: 0.740946 loss_bbox: 0.274357 loss_dfl: 0.186755 loss: 1.208803 eta: 1 day, 10:39:11 batch_cost: 2.3741 data_cost: 0.0013 ips: 23.5879 images/s [10/21 23:58:01] ppdet.engine INFO: Epoch: [96] [ 60/261] learning_rate: 0.230069 loss_vfl: 0.733280 loss_bbox: 0.276079 loss_dfl: 0.185209 loss: 1.204301 eta: 1 day, 10:38:22 batch_cost: 2.2873 data_cost: 0.0014 ips: 24.4834 images/s [10/21 23:58:49] ppdet.engine INFO: Epoch: [96] [ 80/261] learning_rate: 0.229967 loss_vfl: 0.752374 loss_bbox: 0.273029 loss_dfl: 0.187396 loss: 1.210659 eta: 1 day, 10:37:31 batch_cost: 2.2582 data_cost: 0.0013 ips: 24.7984 images/s [10/21 23:59:37] ppdet.engine INFO: Epoch: [96] [100/261] learning_rate: 0.229865 loss_vfl: 0.754836 loss_bbox: 0.281236 loss_dfl: 0.189446 loss: 1.214497 eta: 1 day, 10:36:44 batch_cost: 2.3232 data_cost: 0.0013 ips: 24.1045 images/s [10/22 00:00:26] ppdet.engine INFO: Epoch: [96] [120/261] learning_rate: 0.229763 loss_vfl: 0.757839 loss_bbox: 0.274244 loss_dfl: 0.184417 loss: 1.212338 eta: 1 day, 10:35:54 batch_cost: 2.2766 data_cost: 0.0013 ips: 24.5982 images/s [10/22 00:01:14] ppdet.engine INFO: Epoch: [96] [140/261] learning_rate: 0.229661 loss_vfl: 0.763560 loss_bbox: 0.275543 loss_dfl: 0.188016 loss: 1.225023 eta: 1 day, 10:35:02 batch_cost: 2.2375 data_cost: 0.0013 ips: 25.0279 images/s [10/22 00:02:02] ppdet.engine INFO: Epoch: [96] [160/261] learning_rate: 0.229559 loss_vfl: 0.764067 loss_bbox: 0.278895 loss_dfl: 0.187856 loss: 1.238310 eta: 1 day, 10:34:13 batch_cost: 2.2756 data_cost: 0.0013 ips: 24.6088 images/s [10/22 00:02:53] ppdet.engine INFO: Epoch: [96] [180/261] learning_rate: 0.229457 loss_vfl: 0.758859 loss_bbox: 0.287575 loss_dfl: 0.187495 loss: 1.223174 eta: 1 day, 10:33:26 batch_cost: 2.3628 data_cost: 0.0013 ips: 23.7005 images/s [10/22 00:03:41] ppdet.engine INFO: Epoch: [96] [200/261] learning_rate: 0.229355 loss_vfl: 0.766120 loss_bbox: 0.286094 loss_dfl: 0.184264 loss: 1.231743 eta: 1 day, 10:32:35 batch_cost: 2.2416 data_cost: 0.0013 ips: 24.9827 images/s [10/22 00:04:31] ppdet.engine INFO: Epoch: [96] [220/261] learning_rate: 0.229253 loss_vfl: 0.758260 loss_bbox: 0.278084 loss_dfl: 0.182663 loss: 1.212755 eta: 1 day, 10:31:46 batch_cost: 2.2989 data_cost: 0.0013 ips: 24.3598 images/s [10/22 00:05:20] ppdet.engine INFO: Epoch: [96] [240/261] learning_rate: 0.229151 loss_vfl: 0.760224 loss_bbox: 0.280186 loss_dfl: 0.182774 loss: 1.229876 eta: 1 day, 10:30:56 batch_cost: 2.2697 data_cost: 0.0013 ips: 24.6733 images/s [10/22 00:06:02] ppdet.engine INFO: Epoch: [96] [260/261] learning_rate: 0.229048 loss_vfl: 0.766088 loss_bbox: 0.270381 loss_dfl: 0.185770 loss: 1.230436 eta: 1 day, 10:29:55 batch_cost: 1.9951 data_cost: 0.0013 ips: 28.0686 images/s [10/22 00:06:27] ppdet.engine INFO: Epoch: [97] [ 0/261] learning_rate: 0.229043 loss_vfl: 0.766088 loss_bbox: 0.270381 loss_dfl: 0.184776 loss: 1.230436 eta: 1 day, 10:30:29 batch_cost: 2.9067 data_cost: 0.5654 ips: 19.2658 images/s [10/22 00:07:23] ppdet.engine INFO: Epoch: [97] [ 20/261] learning_rate: 0.228941 loss_vfl: 0.756536 loss_bbox: 0.293339 loss_dfl: 0.196380 loss: 1.255270 eta: 1 day, 10:29:55 batch_cost: 2.6648 data_cost: 0.0013 ips: 21.0148 images/s [10/22 00:08:08] ppdet.engine INFO: Epoch: [97] [ 40/261] learning_rate: 0.228839 loss_vfl: 0.752820 loss_bbox: 0.286927 loss_dfl: 0.194843 loss: 1.230724 eta: 1 day, 10:29:00 batch_cost: 2.1307 data_cost: 0.0014 ips: 26.2821 images/s [10/22 00:08:58] ppdet.engine INFO: Epoch: [97] [ 60/261] learning_rate: 0.228736 loss_vfl: 0.764382 loss_bbox: 0.281054 loss_dfl: 0.188914 loss: 1.224559 eta: 1 day, 10:28:14 batch_cost: 2.3884 data_cost: 0.0013 ips: 23.4464 images/s [10/22 00:09:47] ppdet.engine INFO: Epoch: [97] [ 80/261] learning_rate: 0.228634 loss_vfl: 0.755008 loss_bbox: 0.272794 loss_dfl: 0.185214 loss: 1.210697 eta: 1 day, 10:27:28 batch_cost: 2.3482 data_cost: 0.0013 ips: 23.8475 images/s [10/22 00:10:36] ppdet.engine INFO: Epoch: [97] [100/261] learning_rate: 0.228531 loss_vfl: 0.751000 loss_bbox: 0.286890 loss_dfl: 0.190584 loss: 1.224267 eta: 1 day, 10:26:39 batch_cost: 2.2916 data_cost: 0.0014 ips: 24.4374 images/s [10/22 00:11:26] ppdet.engine INFO: Epoch: [97] [120/261] learning_rate: 0.228429 loss_vfl: 0.766284 loss_bbox: 0.286664 loss_dfl: 0.186354 loss: 1.236007 eta: 1 day, 10:25:53 batch_cost: 2.3658 data_cost: 0.0014 ips: 23.6709 images/s [10/22 00:12:13] ppdet.engine INFO: Epoch: [97] [140/261] learning_rate: 0.228326 loss_vfl: 0.752298 loss_bbox: 0.284557 loss_dfl: 0.187748 loss: 1.218821 eta: 1 day, 10:24:59 batch_cost: 2.1804 data_cost: 0.0013 ips: 25.6828 images/s [10/22 00:13:03] ppdet.engine INFO: Epoch: [97] [160/261] learning_rate: 0.228223 loss_vfl: 0.760788 loss_bbox: 0.268826 loss_dfl: 0.175192 loss: 1.221000 eta: 1 day, 10:24:12 batch_cost: 2.3536 data_cost: 0.0013 ips: 23.7935 images/s [10/22 00:13:54] ppdet.engine INFO: Epoch: [97] [180/261] learning_rate: 0.228121 loss_vfl: 0.769283 loss_bbox: 0.286778 loss_dfl: 0.188196 loss: 1.236946 eta: 1 day, 10:23:27 batch_cost: 2.3895 data_cost: 0.0014 ips: 23.4357 images/s [10/22 00:14:43] ppdet.engine INFO: Epoch: [97] [200/261] learning_rate: 0.228018 loss_vfl: 0.741335 loss_bbox: 0.300521 loss_dfl: 0.191987 loss: 1.237996 eta: 1 day, 10:22:40 batch_cost: 2.3370 data_cost: 0.0014 ips: 23.9627 images/s [10/22 00:15:31] ppdet.engine INFO: Epoch: [97] [220/261] learning_rate: 0.227915 loss_vfl: 0.759341 loss_bbox: 0.273002 loss_dfl: 0.187294 loss: 1.222041 eta: 1 day, 10:21:48 batch_cost: 2.2259 data_cost: 0.0013 ips: 25.1581 images/s [10/22 00:16:20] ppdet.engine INFO: Epoch: [97] [240/261] learning_rate: 0.227812 loss_vfl: 0.753707 loss_bbox: 0.266426 loss_dfl: 0.181493 loss: 1.209681 eta: 1 day, 10:21:01 batch_cost: 2.3278 data_cost: 0.0013 ips: 24.0573 images/s [10/22 00:17:03] ppdet.engine INFO: Epoch: [97] [260/261] learning_rate: 0.227709 loss_vfl: 0.773047 loss_bbox: 0.289509 loss_dfl: 0.185191 loss: 1.218326 eta: 1 day, 10:20:00 batch_cost: 2.0204 data_cost: 0.0012 ips: 27.7176 images/s [10/22 00:17:26] ppdet.engine INFO: Epoch: [98] [ 0/261] learning_rate: 0.227704 loss_vfl: 0.773877 loss_bbox: 0.289509 loss_dfl: 0.185191 loss: 1.229730 eta: 1 day, 10:20:31 batch_cost: 2.7805 data_cost: 0.5468 ips: 20.1405 images/s [10/22 00:18:20] ppdet.engine INFO: Epoch: [98] [ 20/261] learning_rate: 0.227601 loss_vfl: 0.754671 loss_bbox: 0.322291 loss_dfl: 0.207244 loss: 1.273465 eta: 1 day, 10:19:54 batch_cost: 2.5832 data_cost: 0.0013 ips: 21.6787 images/s [10/22 00:19:09] ppdet.engine INFO: Epoch: [98] [ 40/261] learning_rate: 0.227498 loss_vfl: 0.755949 loss_bbox: 0.286932 loss_dfl: 0.188083 loss: 1.242094 eta: 1 day, 10:19:02 batch_cost: 2.2382 data_cost: 0.0013 ips: 25.0200 images/s [10/22 00:19:57] ppdet.engine INFO: Epoch: [98] [ 60/261] learning_rate: 0.227395 loss_vfl: 0.771395 loss_bbox: 0.295440 loss_dfl: 0.193408 loss: 1.258595 eta: 1 day, 10:18:12 batch_cost: 2.2662 data_cost: 0.0014 ips: 24.7108 images/s [10/22 00:20:44] ppdet.engine INFO: Epoch: [98] [ 80/261] learning_rate: 0.227292 loss_vfl: 0.754273 loss_bbox: 0.277023 loss_dfl: 0.183343 loss: 1.195524 eta: 1 day, 10:17:19 batch_cost: 2.1781 data_cost: 0.0014 ips: 25.7109 images/s [10/22 00:21:34] ppdet.engine INFO: Epoch: [98] [100/261] learning_rate: 0.227189 loss_vfl: 0.755596 loss_bbox: 0.265364 loss_dfl: 0.181364 loss: 1.198999 eta: 1 day, 10:16:32 batch_cost: 2.3587 data_cost: 0.0014 ips: 23.7419 images/s [10/22 00:22:22] ppdet.engine INFO: Epoch: [98] [120/261] learning_rate: 0.227085 loss_vfl: 0.751582 loss_bbox: 0.281501 loss_dfl: 0.186757 loss: 1.226019 eta: 1 day, 10:15:42 batch_cost: 2.2766 data_cost: 0.0013 ips: 24.5985 images/s [10/22 00:23:12] ppdet.engine INFO: Epoch: [98] [140/261] learning_rate: 0.226982 loss_vfl: 0.768915 loss_bbox: 0.278232 loss_dfl: 0.186935 loss: 1.226768 eta: 1 day, 10:14:55 batch_cost: 2.3408 data_cost: 0.0013 ips: 23.9231 images/s [10/22 00:24:00] ppdet.engine INFO: Epoch: [98] [160/261] learning_rate: 0.226879 loss_vfl: 0.759067 loss_bbox: 0.281585 loss_dfl: 0.189270 loss: 1.226250 eta: 1 day, 10:14:07 batch_cost: 2.3021 data_cost: 0.0013 ips: 24.3256 images/s [10/22 00:24:49] ppdet.engine INFO: Epoch: [98] [180/261] learning_rate: 0.226775 loss_vfl: 0.763873 loss_bbox: 0.280743 loss_dfl: 0.191825 loss: 1.225694 eta: 1 day, 10:13:16 batch_cost: 2.2530 data_cost: 0.0013 ips: 24.8560 images/s [10/22 00:25:40] ppdet.engine INFO: Epoch: [98] [200/261] learning_rate: 0.226672 loss_vfl: 0.763932 loss_bbox: 0.285467 loss_dfl: 0.188840 loss: 1.205842 eta: 1 day, 10:12:34 batch_cost: 2.4596 data_cost: 0.0014 ips: 22.7679 images/s [10/22 00:26:29] ppdet.engine INFO: Epoch: [98] [220/261] learning_rate: 0.226569 loss_vfl: 0.751902 loss_bbox: 0.268787 loss_dfl: 0.182080 loss: 1.209154 eta: 1 day, 10:11:46 batch_cost: 2.3228 data_cost: 0.0014 ips: 24.1085 images/s [10/22 00:27:16] ppdet.engine INFO: Epoch: [98] [240/261] learning_rate: 0.226465 loss_vfl: 0.763096 loss_bbox: 0.279735 loss_dfl: 0.181846 loss: 1.228466 eta: 1 day, 10:10:54 batch_cost: 2.2130 data_cost: 0.0013 ips: 25.3051 images/s [10/22 00:28:00] ppdet.engine INFO: Epoch: [98] [260/261] learning_rate: 0.226361 loss_vfl: 0.756826 loss_bbox: 0.272804 loss_dfl: 0.187482 loss: 1.227801 eta: 1 day, 10:09:56 batch_cost: 2.0827 data_cost: 0.0011 ips: 26.8885 images/s [10/22 00:28:24] ppdet.engine INFO: Epoch: [99] [ 0/261] learning_rate: 0.226356 loss_vfl: 0.754649 loss_bbox: 0.272804 loss_dfl: 0.187482 loss: 1.227801 eta: 1 day, 10:10:26 batch_cost: 2.8846 data_cost: 0.4032 ips: 19.4134 images/s [10/22 00:29:20] ppdet.engine INFO: Epoch: [99] [ 20/261] learning_rate: 0.226253 loss_vfl: 0.759206 loss_bbox: 0.295476 loss_dfl: 0.190491 loss: 1.240096 eta: 1 day, 10:09:52 batch_cost: 2.6831 data_cost: 0.0013 ips: 20.8713 images/s [10/22 00:30:06] ppdet.engine INFO: Epoch: [99] [ 40/261] learning_rate: 0.226149 loss_vfl: 0.745312 loss_bbox: 0.280287 loss_dfl: 0.177591 loss: 1.201078 eta: 1 day, 10:09:00 batch_cost: 2.2009 data_cost: 0.0013 ips: 25.4437 images/s [10/22 00:30:56] ppdet.engine INFO: Epoch: [99] [ 60/261] learning_rate: 0.226045 loss_vfl: 0.765968 loss_bbox: 0.253930 loss_dfl: 0.173313 loss: 1.198157 eta: 1 day, 10:08:10 batch_cost: 2.2657 data_cost: 0.0014 ips: 24.7164 images/s [10/22 00:31:46] ppdet.engine INFO: Epoch: [99] [ 80/261] learning_rate: 0.225941 loss_vfl: 0.755237 loss_bbox: 0.288704 loss_dfl: 0.189475 loss: 1.225255 eta: 1 day, 10:07:24 batch_cost: 2.3718 data_cost: 0.0013 ips: 23.6105 images/s [10/22 00:32:35] ppdet.engine INFO: Epoch: [99] [100/261] learning_rate: 0.225838 loss_vfl: 0.758651 loss_bbox: 0.270302 loss_dfl: 0.181957 loss: 1.219837 eta: 1 day, 10:06:35 batch_cost: 2.3039 data_cost: 0.0014 ips: 24.3065 images/s [10/22 00:33:25] ppdet.engine INFO: Epoch: [99] [120/261] learning_rate: 0.225734 loss_vfl: 0.747252 loss_bbox: 0.289545 loss_dfl: 0.191935 loss: 1.219337 eta: 1 day, 10:05:49 batch_cost: 2.3677 data_cost: 0.0013 ips: 23.6514 images/s [10/22 00:34:12] ppdet.engine INFO: Epoch: [99] [140/261] learning_rate: 0.225630 loss_vfl: 0.749380 loss_bbox: 0.298386 loss_dfl: 0.198037 loss: 1.235561 eta: 1 day, 10:04:58 batch_cost: 2.2357 data_cost: 0.0013 ips: 25.0484 images/s [10/22 00:35:01] ppdet.engine INFO: Epoch: [99] [160/261] learning_rate: 0.225526 loss_vfl: 0.750163 loss_bbox: 0.295436 loss_dfl: 0.195367 loss: 1.227317 eta: 1 day, 10:04:11 batch_cost: 2.3490 data_cost: 0.0013 ips: 23.8401 images/s [10/22 00:35:53] ppdet.engine INFO: Epoch: [99] [180/261] learning_rate: 0.225422 loss_vfl: 0.760624 loss_bbox: 0.295752 loss_dfl: 0.194556 loss: 1.232173 eta: 1 day, 10:03:28 batch_cost: 2.4298 data_cost: 0.0016 ips: 23.0469 images/s [10/22 00:36:40] ppdet.engine INFO: Epoch: [99] [200/261] learning_rate: 0.225318 loss_vfl: 0.751527 loss_bbox: 0.276532 loss_dfl: 0.190177 loss: 1.212647 eta: 1 day, 10:02:35 batch_cost: 2.2141 data_cost: 0.0013 ips: 25.2928 images/s [10/22 00:37:31] ppdet.engine INFO: Epoch: [99] [220/261] learning_rate: 0.225214 loss_vfl: 0.772408 loss_bbox: 0.267087 loss_dfl: 0.184649 loss: 1.232998 eta: 1 day, 10:01:50 batch_cost: 2.3823 data_cost: 0.0014 ips: 23.5068 images/s [10/22 00:38:19] ppdet.engine INFO: Epoch: [99] [240/261] learning_rate: 0.225109 loss_vfl: 0.765363 loss_bbox: 0.292123 loss_dfl: 0.195317 loss: 1.230398 eta: 1 day, 10:01:01 batch_cost: 2.2811 data_cost: 0.0013 ips: 24.5491 images/s [10/22 00:39:01] ppdet.engine INFO: Epoch: [99] [260/261] learning_rate: 0.225005 loss_vfl: 0.774618 loss_bbox: 0.274724 loss_dfl: 0.181995 loss: 1.222826 eta: 1 day, 9:59:59 batch_cost: 1.9816 data_cost: 0.0013 ips: 28.2597 images/s [10/22 00:39:07] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 00:39:07] ppdet.engine INFO: Eval iter: 0 [10/22 00:39:35] ppdet.engine INFO: Eval iter: 100 [10/22 00:39:51] ppdet.engine INFO: Eval iter: 200 [10/22 00:40:07] ppdet.engine INFO: Eval iter: 300 [10/22 00:40:23] ppdet.engine INFO: Eval iter: 400 [10/22 00:40:38] ppdet.engine INFO: Eval iter: 500 [10/22 00:40:54] ppdet.engine INFO: Eval iter: 600 [10/22 00:41:09] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.94s) creating index... index created! [10/22 00:41:10] 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=70.36s). Accumulating evaluation results... DONE (t=12.30s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.352 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.515 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.371 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.144 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.382 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.552 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.299 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.470 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.501 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.233 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.568 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.732 [10/22 00:42:39] ppdet.engine INFO: Total sample number: 4952, averge FPS: 44.39016339381845 [10/22 00:42:39] ppdet.engine INFO: Best test bbox ap is 0.352. [10/22 00:42:39] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 00:42:43] ppdet.engine INFO: Epoch: [100] [ 0/261] learning_rate: 0.225000 loss_vfl: 0.778385 loss_bbox: 0.278405 loss_dfl: 0.183666 loss: 1.228589 eta: 1 day, 9:59:58 batch_cost: 2.0364 data_cost: 0.0014 ips: 27.4990 images/s [10/22 00:43:36] ppdet.engine INFO: Epoch: [100] [ 20/261] learning_rate: 0.224896 loss_vfl: 0.759046 loss_bbox: 0.298076 loss_dfl: 0.193333 loss: 1.233891 eta: 1 day, 9:59:18 batch_cost: 2.5146 data_cost: 0.0015 ips: 22.2704 images/s [10/22 00:44:22] ppdet.engine INFO: Epoch: [100] [ 40/261] learning_rate: 0.224791 loss_vfl: 0.756085 loss_bbox: 0.275188 loss_dfl: 0.189519 loss: 1.227588 eta: 1 day, 9:58:26 batch_cost: 2.2120 data_cost: 0.0014 ips: 25.3159 images/s [10/22 00:45:13] ppdet.engine INFO: Epoch: [100] [ 60/261] learning_rate: 0.224687 loss_vfl: 0.765013 loss_bbox: 0.269337 loss_dfl: 0.178739 loss: 1.204990 eta: 1 day, 9:57:36 batch_cost: 2.2558 data_cost: 0.0014 ips: 24.8247 images/s [10/22 00:46:03] ppdet.engine INFO: Epoch: [100] [ 80/261] learning_rate: 0.224583 loss_vfl: 0.753362 loss_bbox: 0.279948 loss_dfl: 0.188358 loss: 1.214711 eta: 1 day, 9:56:50 batch_cost: 2.3797 data_cost: 0.0013 ips: 23.5328 images/s [10/22 00:46:50] ppdet.engine INFO: Epoch: [100] [100/261] learning_rate: 0.224478 loss_vfl: 0.762963 loss_bbox: 0.288597 loss_dfl: 0.189439 loss: 1.240665 eta: 1 day, 9:55:58 batch_cost: 2.2222 data_cost: 0.0014 ips: 25.2000 images/s [10/22 00:47:38] ppdet.engine INFO: Epoch: [100] [120/261] learning_rate: 0.224374 loss_vfl: 0.756886 loss_bbox: 0.280826 loss_dfl: 0.189015 loss: 1.252338 eta: 1 day, 9:55:10 batch_cost: 2.3008 data_cost: 0.0014 ips: 24.3397 images/s [10/22 00:48:26] ppdet.engine INFO: Epoch: [100] [140/261] learning_rate: 0.224269 loss_vfl: 0.759602 loss_bbox: 0.274687 loss_dfl: 0.176361 loss: 1.216113 eta: 1 day, 9:54:18 batch_cost: 2.2209 data_cost: 0.0014 ips: 25.2145 images/s [10/22 00:49:15] ppdet.engine INFO: Epoch: [100] [160/261] learning_rate: 0.224165 loss_vfl: 0.761544 loss_bbox: 0.276928 loss_dfl: 0.191258 loss: 1.213614 eta: 1 day, 9:53:31 batch_cost: 2.3408 data_cost: 0.0014 ips: 23.9232 images/s [10/22 00:50:05] ppdet.engine INFO: Epoch: [100] [180/261] learning_rate: 0.224060 loss_vfl: 0.741933 loss_bbox: 0.261215 loss_dfl: 0.182925 loss: 1.184517 eta: 1 day, 9:52:43 batch_cost: 2.3120 data_cost: 0.0013 ips: 24.2214 images/s [10/22 00:50:55] ppdet.engine INFO: Epoch: [100] [200/261] learning_rate: 0.223955 loss_vfl: 0.758884 loss_bbox: 0.272397 loss_dfl: 0.190066 loss: 1.224079 eta: 1 day, 9:51:57 batch_cost: 2.3853 data_cost: 0.0014 ips: 23.4775 images/s [10/22 00:51:42] ppdet.engine INFO: Epoch: [100] [220/261] learning_rate: 0.223850 loss_vfl: 0.759636 loss_bbox: 0.285041 loss_dfl: 0.185222 loss: 1.222211 eta: 1 day, 9:51:06 batch_cost: 2.2291 data_cost: 0.0014 ips: 25.1223 images/s [10/22 00:52:32] ppdet.engine INFO: Epoch: [100] [240/261] learning_rate: 0.223746 loss_vfl: 0.774954 loss_bbox: 0.283777 loss_dfl: 0.187507 loss: 1.257618 eta: 1 day, 9:50:18 batch_cost: 2.3050 data_cost: 0.0013 ips: 24.2950 images/s [10/22 00:53:14] ppdet.engine INFO: Epoch: [100] [260/261] learning_rate: 0.223641 loss_vfl: 0.762258 loss_bbox: 0.278196 loss_dfl: 0.179267 loss: 1.244825 eta: 1 day, 9:49:16 batch_cost: 1.9758 data_cost: 0.0012 ips: 28.3426 images/s [10/22 00:53:39] ppdet.engine INFO: Epoch: [101] [ 0/261] learning_rate: 0.223636 loss_vfl: 0.756028 loss_bbox: 0.290390 loss_dfl: 0.182666 loss: 1.244825 eta: 1 day, 9:49:47 batch_cost: 2.8268 data_cost: 0.2368 ips: 19.8100 images/s [10/22 00:54:31] ppdet.engine INFO: Epoch: [101] [ 20/261] learning_rate: 0.223531 loss_vfl: 0.747348 loss_bbox: 0.278729 loss_dfl: 0.182293 loss: 1.220883 eta: 1 day, 9:49:06 batch_cost: 2.4974 data_cost: 0.0013 ips: 22.4231 images/s [10/22 00:55:21] ppdet.engine INFO: Epoch: [101] [ 40/261] learning_rate: 0.223426 loss_vfl: 0.754298 loss_bbox: 0.291385 loss_dfl: 0.185536 loss: 1.233290 eta: 1 day, 9:48:20 batch_cost: 2.3691 data_cost: 0.0012 ips: 23.6377 images/s [10/22 00:56:08] ppdet.engine INFO: Epoch: [101] [ 60/261] learning_rate: 0.223321 loss_vfl: 0.734806 loss_bbox: 0.269169 loss_dfl: 0.184163 loss: 1.195911 eta: 1 day, 9:47:30 batch_cost: 2.2550 data_cost: 0.0013 ips: 24.8337 images/s [10/22 00:56:56] ppdet.engine INFO: Epoch: [101] [ 80/261] learning_rate: 0.223216 loss_vfl: 0.755933 loss_bbox: 0.286982 loss_dfl: 0.182088 loss: 1.214666 eta: 1 day, 9:46:40 batch_cost: 2.2702 data_cost: 0.0013 ips: 24.6678 images/s [10/22 00:57:46] ppdet.engine INFO: Epoch: [101] [100/261] learning_rate: 0.223111 loss_vfl: 0.757385 loss_bbox: 0.267723 loss_dfl: 0.176691 loss: 1.208405 eta: 1 day, 9:45:52 batch_cost: 2.3066 data_cost: 0.0013 ips: 24.2780 images/s [10/22 00:58:37] ppdet.engine INFO: Epoch: [101] [120/261] learning_rate: 0.223006 loss_vfl: 0.753271 loss_bbox: 0.276218 loss_dfl: 0.188880 loss: 1.224594 eta: 1 day, 9:45:06 batch_cost: 2.3898 data_cost: 0.0013 ips: 23.4332 images/s [10/22 00:59:25] ppdet.engine INFO: Epoch: [101] [140/261] learning_rate: 0.222900 loss_vfl: 0.761413 loss_bbox: 0.274939 loss_dfl: 0.182625 loss: 1.221400 eta: 1 day, 9:44:18 batch_cost: 2.3171 data_cost: 0.0013 ips: 24.1682 images/s [10/22 01:00:12] ppdet.engine INFO: Epoch: [101] [160/261] learning_rate: 0.222795 loss_vfl: 0.760574 loss_bbox: 0.281447 loss_dfl: 0.194377 loss: 1.231846 eta: 1 day, 9:43:27 batch_cost: 2.2183 data_cost: 0.0013 ips: 25.2451 images/s [10/22 01:01:01] ppdet.engine INFO: Epoch: [101] [180/261] learning_rate: 0.222690 loss_vfl: 0.761284 loss_bbox: 0.278408 loss_dfl: 0.176981 loss: 1.212263 eta: 1 day, 9:42:37 batch_cost: 2.2742 data_cost: 0.0013 ips: 24.6240 images/s [10/22 01:01:51] ppdet.engine INFO: Epoch: [101] [200/261] learning_rate: 0.222585 loss_vfl: 0.756622 loss_bbox: 0.279832 loss_dfl: 0.184564 loss: 1.219459 eta: 1 day, 9:41:50 batch_cost: 2.3418 data_cost: 0.0013 ips: 23.9137 images/s [10/22 01:02:39] ppdet.engine INFO: Epoch: [101] [220/261] learning_rate: 0.222479 loss_vfl: 0.746490 loss_bbox: 0.264299 loss_dfl: 0.181569 loss: 1.210884 eta: 1 day, 9:41:00 batch_cost: 2.2719 data_cost: 0.0014 ips: 24.6487 images/s [10/22 01:03:27] ppdet.engine INFO: Epoch: [101] [240/261] learning_rate: 0.222374 loss_vfl: 0.755286 loss_bbox: 0.286243 loss_dfl: 0.191517 loss: 1.238518 eta: 1 day, 9:40:09 batch_cost: 2.2235 data_cost: 0.0014 ips: 25.1859 images/s [10/22 01:04:10] ppdet.engine INFO: Epoch: [101] [260/261] learning_rate: 0.222268 loss_vfl: 0.748631 loss_bbox: 0.257337 loss_dfl: 0.181003 loss: 1.170335 eta: 1 day, 9:39:09 batch_cost: 2.0170 data_cost: 0.0014 ips: 27.7635 images/s [10/22 01:04:34] ppdet.engine INFO: Epoch: [102] [ 0/261] learning_rate: 0.222263 loss_vfl: 0.742838 loss_bbox: 0.257337 loss_dfl: 0.181003 loss: 1.170335 eta: 1 day, 9:39:38 batch_cost: 2.8382 data_cost: 0.2771 ips: 19.7310 images/s [10/22 01:05:27] ppdet.engine INFO: Epoch: [102] [ 20/261] learning_rate: 0.222158 loss_vfl: 0.758500 loss_bbox: 0.279066 loss_dfl: 0.187790 loss: 1.217835 eta: 1 day, 9:38:58 batch_cost: 2.5144 data_cost: 0.0013 ips: 22.2718 images/s [10/22 01:06:16] ppdet.engine INFO: Epoch: [102] [ 40/261] learning_rate: 0.222052 loss_vfl: 0.754089 loss_bbox: 0.293474 loss_dfl: 0.190037 loss: 1.227067 eta: 1 day, 9:38:09 batch_cost: 2.2959 data_cost: 0.0013 ips: 24.3909 images/s [10/22 01:07:05] ppdet.engine INFO: Epoch: [102] [ 60/261] learning_rate: 0.221946 loss_vfl: 0.742062 loss_bbox: 0.297106 loss_dfl: 0.194183 loss: 1.211115 eta: 1 day, 9:37:21 batch_cost: 2.3132 data_cost: 0.0013 ips: 24.2084 images/s [10/22 01:07:54] ppdet.engine INFO: Epoch: [102] [ 80/261] learning_rate: 0.221841 loss_vfl: 0.758758 loss_bbox: 0.267360 loss_dfl: 0.181274 loss: 1.199294 eta: 1 day, 9:36:36 batch_cost: 2.3909 data_cost: 0.0013 ips: 23.4225 images/s [10/22 01:08:43] ppdet.engine INFO: Epoch: [102] [100/261] learning_rate: 0.221735 loss_vfl: 0.739722 loss_bbox: 0.282798 loss_dfl: 0.190116 loss: 1.209315 eta: 1 day, 9:35:47 batch_cost: 2.3118 data_cost: 0.0014 ips: 24.2233 images/s [10/22 01:09:30] ppdet.engine INFO: Epoch: [102] [120/261] learning_rate: 0.221629 loss_vfl: 0.759191 loss_bbox: 0.281873 loss_dfl: 0.192268 loss: 1.255533 eta: 1 day, 9:34:56 batch_cost: 2.2160 data_cost: 0.0015 ips: 25.2706 images/s [10/22 01:10:17] ppdet.engine INFO: Epoch: [102] [140/261] learning_rate: 0.221524 loss_vfl: 0.768295 loss_bbox: 0.284635 loss_dfl: 0.190570 loss: 1.231588 eta: 1 day, 9:34:04 batch_cost: 2.2370 data_cost: 0.0014 ips: 25.0338 images/s [10/22 01:11:06] ppdet.engine INFO: Epoch: [102] [160/261] learning_rate: 0.221418 loss_vfl: 0.767490 loss_bbox: 0.275463 loss_dfl: 0.185899 loss: 1.232698 eta: 1 day, 9:33:16 batch_cost: 2.2995 data_cost: 0.0014 ips: 24.3528 images/s [10/22 01:11:55] ppdet.engine INFO: Epoch: [102] [180/261] learning_rate: 0.221312 loss_vfl: 0.764452 loss_bbox: 0.269407 loss_dfl: 0.182540 loss: 1.216137 eta: 1 day, 9:32:26 batch_cost: 2.2737 data_cost: 0.0013 ips: 24.6291 images/s [10/22 01:12:48] ppdet.engine INFO: Epoch: [102] [200/261] learning_rate: 0.221206 loss_vfl: 0.762062 loss_bbox: 0.283046 loss_dfl: 0.184660 loss: 1.219037 eta: 1 day, 9:31:45 batch_cost: 2.4870 data_cost: 0.0013 ips: 22.5170 images/s [10/22 01:13:35] ppdet.engine INFO: Epoch: [102] [220/261] learning_rate: 0.221100 loss_vfl: 0.769418 loss_bbox: 0.293864 loss_dfl: 0.195878 loss: 1.266837 eta: 1 day, 9:30:53 batch_cost: 2.2240 data_cost: 0.0013 ips: 25.1804 images/s [10/22 01:14:23] ppdet.engine INFO: Epoch: [102] [240/261] learning_rate: 0.220994 loss_vfl: 0.767469 loss_bbox: 0.278473 loss_dfl: 0.190024 loss: 1.246377 eta: 1 day, 9:30:05 batch_cost: 2.2984 data_cost: 0.0013 ips: 24.3651 images/s [10/22 01:15:05] ppdet.engine INFO: Epoch: [102] [260/261] learning_rate: 0.220888 loss_vfl: 0.761538 loss_bbox: 0.294706 loss_dfl: 0.186647 loss: 1.241033 eta: 1 day, 9:29:02 batch_cost: 1.9415 data_cost: 0.0013 ips: 28.8439 images/s [10/22 01:15:29] ppdet.engine INFO: Epoch: [103] [ 0/261] learning_rate: 0.220883 loss_vfl: 0.758197 loss_bbox: 0.294706 loss_dfl: 0.186647 loss: 1.241033 eta: 1 day, 9:29:31 batch_cost: 2.7736 data_cost: 0.4633 ips: 20.1901 images/s [10/22 01:16:22] ppdet.engine INFO: Epoch: [103] [ 20/261] learning_rate: 0.220777 loss_vfl: 0.740673 loss_bbox: 0.283347 loss_dfl: 0.190264 loss: 1.225453 eta: 1 day, 9:28:50 batch_cost: 2.4873 data_cost: 0.0014 ips: 22.5142 images/s [10/22 01:17:13] ppdet.engine INFO: Epoch: [103] [ 40/261] learning_rate: 0.220670 loss_vfl: 0.748192 loss_bbox: 0.261083 loss_dfl: 0.185467 loss: 1.192419 eta: 1 day, 9:28:04 batch_cost: 2.3689 data_cost: 0.0013 ips: 23.6401 images/s [10/22 01:18:01] ppdet.engine INFO: Epoch: [103] [ 60/261] learning_rate: 0.220564 loss_vfl: 0.744119 loss_bbox: 0.298651 loss_dfl: 0.191700 loss: 1.242442 eta: 1 day, 9:27:15 batch_cost: 2.2929 data_cost: 0.0013 ips: 24.4232 images/s [10/22 01:18:49] ppdet.engine INFO: Epoch: [103] [ 80/261] learning_rate: 0.220458 loss_vfl: 0.746452 loss_bbox: 0.289786 loss_dfl: 0.194639 loss: 1.230187 eta: 1 day, 9:26:23 batch_cost: 2.2253 data_cost: 0.0013 ips: 25.1655 images/s [10/22 01:19:38] ppdet.engine INFO: Epoch: [103] [100/261] learning_rate: 0.220352 loss_vfl: 0.745942 loss_bbox: 0.273193 loss_dfl: 0.180913 loss: 1.208130 eta: 1 day, 9:25:37 batch_cost: 2.3525 data_cost: 0.0013 ips: 23.8049 images/s [10/22 01:20:28] ppdet.engine INFO: Epoch: [103] [120/261] learning_rate: 0.220245 loss_vfl: 0.773129 loss_bbox: 0.266201 loss_dfl: 0.181574 loss: 1.219753 eta: 1 day, 9:24:49 batch_cost: 2.3200 data_cost: 0.0013 ips: 24.1377 images/s [10/22 01:21:18] ppdet.engine INFO: Epoch: [103] [140/261] learning_rate: 0.220139 loss_vfl: 0.766293 loss_bbox: 0.273704 loss_dfl: 0.185356 loss: 1.232484 eta: 1 day, 9:24:02 batch_cost: 2.3619 data_cost: 0.0013 ips: 23.7097 images/s [10/22 01:22:07] ppdet.engine INFO: Epoch: [103] [160/261] learning_rate: 0.220033 loss_vfl: 0.756592 loss_bbox: 0.267236 loss_dfl: 0.180558 loss: 1.229648 eta: 1 day, 9:23:17 batch_cost: 2.3692 data_cost: 0.0013 ips: 23.6362 images/s [10/22 01:22:55] ppdet.engine INFO: Epoch: [103] [180/261] learning_rate: 0.219926 loss_vfl: 0.752100 loss_bbox: 0.275815 loss_dfl: 0.185320 loss: 1.213149 eta: 1 day, 9:22:27 batch_cost: 2.2728 data_cost: 0.0014 ips: 24.6397 images/s [10/22 01:23:44] ppdet.engine INFO: Epoch: [103] [200/261] learning_rate: 0.219820 loss_vfl: 0.755917 loss_bbox: 0.280374 loss_dfl: 0.190473 loss: 1.225876 eta: 1 day, 9:21:37 batch_cost: 2.2684 data_cost: 0.0013 ips: 24.6868 images/s [10/22 01:24:31] ppdet.engine INFO: Epoch: [103] [220/261] learning_rate: 0.219713 loss_vfl: 0.764511 loss_bbox: 0.295408 loss_dfl: 0.195575 loss: 1.253922 eta: 1 day, 9:20:46 batch_cost: 2.2327 data_cost: 0.0013 ips: 25.0816 images/s [10/22 01:25:21] ppdet.engine INFO: Epoch: [103] [240/261] learning_rate: 0.219606 loss_vfl: 0.751632 loss_bbox: 0.296566 loss_dfl: 0.197845 loss: 1.231362 eta: 1 day, 9:19:59 batch_cost: 2.3486 data_cost: 0.0013 ips: 23.8440 images/s [10/22 01:26:04] ppdet.engine INFO: Epoch: [103] [260/261] learning_rate: 0.219500 loss_vfl: 0.751272 loss_bbox: 0.283380 loss_dfl: 0.189345 loss: 1.223926 eta: 1 day, 9:18:58 batch_cost: 1.9772 data_cost: 0.0012 ips: 28.3225 images/s [10/22 01:26:24] ppdet.engine INFO: Epoch: [104] [ 0/261] learning_rate: 0.219494 loss_vfl: 0.751272 loss_bbox: 0.285060 loss_dfl: 0.189345 loss: 1.227657 eta: 1 day, 9:19:20 batch_cost: 2.5885 data_cost: 0.4217 ips: 21.6339 images/s [10/22 01:27:20] ppdet.engine INFO: Epoch: [104] [ 20/261] learning_rate: 0.219388 loss_vfl: 0.761239 loss_bbox: 0.292916 loss_dfl: 0.193519 loss: 1.226464 eta: 1 day, 9:18:45 batch_cost: 2.6627 data_cost: 0.0014 ips: 21.0309 images/s [10/22 01:28:11] ppdet.engine INFO: Epoch: [104] [ 40/261] learning_rate: 0.219281 loss_vfl: 0.748448 loss_bbox: 0.294145 loss_dfl: 0.193529 loss: 1.232433 eta: 1 day, 9:18:00 batch_cost: 2.4187 data_cost: 0.0013 ips: 23.1532 images/s [10/22 01:28:59] ppdet.engine INFO: Epoch: [104] [ 60/261] learning_rate: 0.219174 loss_vfl: 0.749806 loss_bbox: 0.290046 loss_dfl: 0.193322 loss: 1.233725 eta: 1 day, 9:17:09 batch_cost: 2.2349 data_cost: 0.0013 ips: 25.0569 images/s [10/22 01:29:48] ppdet.engine INFO: Epoch: [104] [ 80/261] learning_rate: 0.219067 loss_vfl: 0.746165 loss_bbox: 0.278542 loss_dfl: 0.184735 loss: 1.209416 eta: 1 day, 9:16:19 batch_cost: 2.2573 data_cost: 0.0013 ips: 24.8084 images/s [10/22 01:30:36] ppdet.engine INFO: Epoch: [104] [100/261] learning_rate: 0.218960 loss_vfl: 0.756910 loss_bbox: 0.280344 loss_dfl: 0.184440 loss: 1.222409 eta: 1 day, 9:15:30 batch_cost: 2.2790 data_cost: 0.0013 ips: 24.5721 images/s [10/22 01:31:25] ppdet.engine INFO: Epoch: [104] [120/261] learning_rate: 0.218854 loss_vfl: 0.749937 loss_bbox: 0.277665 loss_dfl: 0.185692 loss: 1.209872 eta: 1 day, 9:14:40 batch_cost: 2.2737 data_cost: 0.0014 ips: 24.6297 images/s [10/22 01:32:13] ppdet.engine INFO: Epoch: [104] [140/261] learning_rate: 0.218747 loss_vfl: 0.759488 loss_bbox: 0.298167 loss_dfl: 0.189864 loss: 1.227405 eta: 1 day, 9:13:49 batch_cost: 2.2395 data_cost: 0.0014 ips: 25.0050 images/s [10/22 01:33:02] ppdet.engine INFO: Epoch: [104] [160/261] learning_rate: 0.218640 loss_vfl: 0.770017 loss_bbox: 0.288319 loss_dfl: 0.192374 loss: 1.249499 eta: 1 day, 9:12:59 batch_cost: 2.2438 data_cost: 0.0014 ips: 24.9572 images/s [10/22 01:33:50] ppdet.engine INFO: Epoch: [104] [180/261] learning_rate: 0.218533 loss_vfl: 0.759505 loss_bbox: 0.287370 loss_dfl: 0.191734 loss: 1.229254 eta: 1 day, 9:12:10 batch_cost: 2.2977 data_cost: 0.0013 ips: 24.3718 images/s [10/22 01:34:39] ppdet.engine INFO: Epoch: [104] [200/261] learning_rate: 0.218425 loss_vfl: 0.758950 loss_bbox: 0.295134 loss_dfl: 0.192607 loss: 1.249326 eta: 1 day, 9:11:21 batch_cost: 2.2843 data_cost: 0.0014 ips: 24.5152 images/s [10/22 01:35:27] ppdet.engine INFO: Epoch: [104] [220/261] learning_rate: 0.218318 loss_vfl: 0.758303 loss_bbox: 0.279309 loss_dfl: 0.191886 loss: 1.217691 eta: 1 day, 9:10:31 batch_cost: 2.2758 data_cost: 0.0012 ips: 24.6065 images/s [10/22 01:36:14] ppdet.engine INFO: Epoch: [104] [240/261] learning_rate: 0.218211 loss_vfl: 0.767715 loss_bbox: 0.285579 loss_dfl: 0.189504 loss: 1.239372 eta: 1 day, 9:09:40 batch_cost: 2.2357 data_cost: 0.0014 ips: 25.0477 images/s [10/22 01:37:00] ppdet.engine INFO: Epoch: [104] [260/261] learning_rate: 0.218104 loss_vfl: 0.762468 loss_bbox: 0.285328 loss_dfl: 0.189191 loss: 1.240998 eta: 1 day, 9:08:47 batch_cost: 2.1719 data_cost: 0.0012 ips: 25.7835 images/s [10/22 01:37:23] ppdet.engine INFO: Epoch: [105] [ 0/261] learning_rate: 0.218099 loss_vfl: 0.766222 loss_bbox: 0.274556 loss_dfl: 0.188191 loss: 1.234962 eta: 1 day, 9:09:13 batch_cost: 2.9116 data_cost: 0.4636 ips: 19.2333 images/s [10/22 01:38:16] ppdet.engine INFO: Epoch: [105] [ 20/261] learning_rate: 0.217991 loss_vfl: 0.750231 loss_bbox: 0.287318 loss_dfl: 0.193711 loss: 1.231429 eta: 1 day, 9:08:32 batch_cost: 2.5213 data_cost: 0.0013 ips: 22.2112 images/s [10/22 01:39:05] ppdet.engine INFO: Epoch: [105] [ 40/261] learning_rate: 0.217884 loss_vfl: 0.741292 loss_bbox: 0.270234 loss_dfl: 0.186042 loss: 1.183554 eta: 1 day, 9:07:41 batch_cost: 2.2203 data_cost: 0.0013 ips: 25.2214 images/s [10/22 01:39:56] ppdet.engine INFO: Epoch: [105] [ 60/261] learning_rate: 0.217777 loss_vfl: 0.761578 loss_bbox: 0.263539 loss_dfl: 0.185673 loss: 1.223215 eta: 1 day, 9:06:58 batch_cost: 2.4405 data_cost: 0.0012 ips: 22.9461 images/s [10/22 01:40:44] ppdet.engine INFO: Epoch: [105] [ 80/261] learning_rate: 0.217669 loss_vfl: 0.752548 loss_bbox: 0.279326 loss_dfl: 0.186134 loss: 1.218124 eta: 1 day, 9:06:09 batch_cost: 2.2868 data_cost: 0.0013 ips: 24.4885 images/s [10/22 01:41:33] ppdet.engine INFO: Epoch: [105] [100/261] learning_rate: 0.217562 loss_vfl: 0.747277 loss_bbox: 0.267506 loss_dfl: 0.179632 loss: 1.202755 eta: 1 day, 9:05:20 batch_cost: 2.2974 data_cost: 0.0013 ips: 24.3755 images/s [10/22 01:42:20] ppdet.engine INFO: Epoch: [105] [120/261] learning_rate: 0.217454 loss_vfl: 0.763818 loss_bbox: 0.291845 loss_dfl: 0.191127 loss: 1.254814 eta: 1 day, 9:04:26 batch_cost: 2.1676 data_cost: 0.0013 ips: 25.8345 images/s [10/22 01:43:09] ppdet.engine INFO: Epoch: [105] [140/261] learning_rate: 0.217347 loss_vfl: 0.746465 loss_bbox: 0.283678 loss_dfl: 0.187501 loss: 1.203842 eta: 1 day, 9:03:37 batch_cost: 2.2703 data_cost: 0.0013 ips: 24.6667 images/s [10/22 01:43:56] ppdet.engine INFO: Epoch: [105] [160/261] learning_rate: 0.217239 loss_vfl: 0.754435 loss_bbox: 0.288399 loss_dfl: 0.191913 loss: 1.258070 eta: 1 day, 9:02:46 batch_cost: 2.2467 data_cost: 0.0015 ips: 24.9254 images/s [10/22 01:44:45] ppdet.engine INFO: Epoch: [105] [180/261] learning_rate: 0.217132 loss_vfl: 0.757257 loss_bbox: 0.288213 loss_dfl: 0.195598 loss: 1.221292 eta: 1 day, 9:01:59 batch_cost: 2.3465 data_cost: 0.0014 ips: 23.8658 images/s [10/22 01:45:33] ppdet.engine INFO: Epoch: [105] [200/261] learning_rate: 0.217024 loss_vfl: 0.755904 loss_bbox: 0.274413 loss_dfl: 0.182844 loss: 1.201210 eta: 1 day, 9:01:09 batch_cost: 2.2439 data_cost: 0.0014 ips: 24.9566 images/s [10/22 01:46:22] ppdet.engine INFO: Epoch: [105] [220/261] learning_rate: 0.216916 loss_vfl: 0.744156 loss_bbox: 0.270978 loss_dfl: 0.180101 loss: 1.182115 eta: 1 day, 9:00:19 batch_cost: 2.2653 data_cost: 0.0013 ips: 24.7204 images/s [10/22 01:47:11] ppdet.engine INFO: Epoch: [105] [240/261] learning_rate: 0.216808 loss_vfl: 0.734190 loss_bbox: 0.268988 loss_dfl: 0.180856 loss: 1.202225 eta: 1 day, 8:59:31 batch_cost: 2.3104 data_cost: 0.0014 ips: 24.2384 images/s [10/22 01:47:55] ppdet.engine INFO: Epoch: [105] [260/261] learning_rate: 0.216701 loss_vfl: 0.768077 loss_bbox: 0.283997 loss_dfl: 0.185677 loss: 1.227887 eta: 1 day, 8:58:34 batch_cost: 2.0811 data_cost: 0.0012 ips: 26.9089 images/s [10/22 01:48:17] ppdet.engine INFO: Epoch: [106] [ 0/261] learning_rate: 0.216695 loss_vfl: 0.763745 loss_bbox: 0.284824 loss_dfl: 0.187253 loss: 1.237102 eta: 1 day, 8:58:57 batch_cost: 2.7583 data_cost: 0.3117 ips: 20.3024 images/s [10/22 01:49:15] ppdet.engine INFO: Epoch: [106] [ 20/261] learning_rate: 0.216587 loss_vfl: 0.755008 loss_bbox: 0.273015 loss_dfl: 0.184096 loss: 1.210365 eta: 1 day, 8:58:25 batch_cost: 2.7538 data_cost: 0.0014 ips: 20.3354 images/s [10/22 01:50:01] ppdet.engine INFO: Epoch: [106] [ 40/261] learning_rate: 0.216480 loss_vfl: 0.750333 loss_bbox: 0.288036 loss_dfl: 0.195858 loss: 1.231122 eta: 1 day, 8:57:34 batch_cost: 2.2451 data_cost: 0.0013 ips: 24.9427 images/s [10/22 01:50:50] ppdet.engine INFO: Epoch: [106] [ 60/261] learning_rate: 0.216372 loss_vfl: 0.756724 loss_bbox: 0.276550 loss_dfl: 0.183617 loss: 1.239609 eta: 1 day, 8:56:44 batch_cost: 2.2634 data_cost: 0.0014 ips: 24.7420 images/s [10/22 01:51:38] ppdet.engine INFO: Epoch: [106] [ 80/261] learning_rate: 0.216264 loss_vfl: 0.736080 loss_bbox: 0.292160 loss_dfl: 0.188602 loss: 1.224721 eta: 1 day, 8:55:56 batch_cost: 2.2926 data_cost: 0.0014 ips: 24.4259 images/s [10/22 01:52:25] ppdet.engine INFO: Epoch: [106] [100/261] learning_rate: 0.216156 loss_vfl: 0.754468 loss_bbox: 0.282858 loss_dfl: 0.192862 loss: 1.243307 eta: 1 day, 8:55:03 batch_cost: 2.1790 data_cost: 0.0013 ips: 25.7003 images/s [10/22 01:53:14] ppdet.engine INFO: Epoch: [106] [120/261] learning_rate: 0.216048 loss_vfl: 0.740718 loss_bbox: 0.280870 loss_dfl: 0.186818 loss: 1.237490 eta: 1 day, 8:54:16 batch_cost: 2.3420 data_cost: 0.0014 ips: 23.9115 images/s [10/22 01:54:03] ppdet.engine INFO: Epoch: [106] [140/261] learning_rate: 0.215940 loss_vfl: 0.751841 loss_bbox: 0.275262 loss_dfl: 0.194481 loss: 1.221368 eta: 1 day, 8:53:26 batch_cost: 2.2777 data_cost: 0.0013 ips: 24.5858 images/s [10/22 01:54:53] ppdet.engine INFO: Epoch: [106] [160/261] learning_rate: 0.215831 loss_vfl: 0.742475 loss_bbox: 0.292008 loss_dfl: 0.193638 loss: 1.255525 eta: 1 day, 8:52:38 batch_cost: 2.3145 data_cost: 0.0014 ips: 24.1953 images/s [10/22 01:55:39] ppdet.engine INFO: Epoch: [106] [180/261] learning_rate: 0.215723 loss_vfl: 0.756153 loss_bbox: 0.287915 loss_dfl: 0.195443 loss: 1.236183 eta: 1 day, 8:51:46 batch_cost: 2.1863 data_cost: 0.0014 ips: 25.6139 images/s [10/22 01:56:30] ppdet.engine INFO: Epoch: [106] [200/261] learning_rate: 0.215615 loss_vfl: 0.753024 loss_bbox: 0.268035 loss_dfl: 0.178661 loss: 1.203354 eta: 1 day, 8:51:02 batch_cost: 2.4391 data_cost: 0.0013 ips: 22.9591 images/s [10/22 01:57:19] ppdet.engine INFO: Epoch: [106] [220/261] learning_rate: 0.215507 loss_vfl: 0.734385 loss_bbox: 0.282954 loss_dfl: 0.182959 loss: 1.182889 eta: 1 day, 8:50:15 batch_cost: 2.3260 data_cost: 0.0012 ips: 24.0760 images/s [10/22 01:58:07] ppdet.engine INFO: Epoch: [106] [240/261] learning_rate: 0.215398 loss_vfl: 0.738765 loss_bbox: 0.257297 loss_dfl: 0.175471 loss: 1.167874 eta: 1 day, 8:49:25 batch_cost: 2.2658 data_cost: 0.0013 ips: 24.7153 images/s [10/22 01:58:48] ppdet.engine INFO: Epoch: [106] [260/261] learning_rate: 0.215290 loss_vfl: 0.758142 loss_bbox: 0.300638 loss_dfl: 0.194220 loss: 1.248681 eta: 1 day, 8:48:23 batch_cost: 1.9444 data_cost: 0.0012 ips: 28.8004 images/s [10/22 01:59:14] ppdet.engine INFO: Epoch: [107] [ 0/261] learning_rate: 0.215285 loss_vfl: 0.758142 loss_bbox: 0.302844 loss_dfl: 0.194220 loss: 1.248681 eta: 1 day, 8:48:53 batch_cost: 2.7782 data_cost: 0.5101 ips: 20.1567 images/s [10/22 02:00:09] ppdet.engine INFO: Epoch: [107] [ 20/261] learning_rate: 0.215176 loss_vfl: 0.761425 loss_bbox: 0.281104 loss_dfl: 0.193538 loss: 1.222579 eta: 1 day, 8:48:12 batch_cost: 2.5099 data_cost: 0.0013 ips: 22.3118 images/s [10/22 02:00:58] ppdet.engine INFO: Epoch: [107] [ 40/261] learning_rate: 0.215068 loss_vfl: 0.761149 loss_bbox: 0.296722 loss_dfl: 0.194773 loss: 1.263574 eta: 1 day, 8:47:22 batch_cost: 2.2546 data_cost: 0.0013 ips: 24.8382 images/s [10/22 02:01:47] ppdet.engine INFO: Epoch: [107] [ 60/261] learning_rate: 0.214959 loss_vfl: 0.739596 loss_bbox: 0.270456 loss_dfl: 0.179220 loss: 1.197027 eta: 1 day, 8:46:36 batch_cost: 2.3680 data_cost: 0.0013 ips: 23.6483 images/s [10/22 02:02:36] ppdet.engine INFO: Epoch: [107] [ 80/261] learning_rate: 0.214851 loss_vfl: 0.745066 loss_bbox: 0.287952 loss_dfl: 0.191432 loss: 1.231772 eta: 1 day, 8:45:47 batch_cost: 2.2833 data_cost: 0.0013 ips: 24.5256 images/s [10/22 02:03:24] ppdet.engine INFO: Epoch: [107] [100/261] learning_rate: 0.214742 loss_vfl: 0.746363 loss_bbox: 0.270270 loss_dfl: 0.184109 loss: 1.210622 eta: 1 day, 8:44:55 batch_cost: 2.2189 data_cost: 0.0014 ips: 25.2378 images/s [10/22 02:04:11] ppdet.engine INFO: Epoch: [107] [120/261] learning_rate: 0.214634 loss_vfl: 0.751874 loss_bbox: 0.287793 loss_dfl: 0.184560 loss: 1.213786 eta: 1 day, 8:44:03 batch_cost: 2.1838 data_cost: 0.0013 ips: 25.6432 images/s [10/22 02:05:00] ppdet.engine INFO: Epoch: [107] [140/261] learning_rate: 0.214525 loss_vfl: 0.745476 loss_bbox: 0.270862 loss_dfl: 0.179666 loss: 1.205879 eta: 1 day, 8:43:13 batch_cost: 2.2831 data_cost: 0.0014 ips: 24.5282 images/s [10/22 02:05:49] ppdet.engine INFO: Epoch: [107] [160/261] learning_rate: 0.214416 loss_vfl: 0.731178 loss_bbox: 0.284233 loss_dfl: 0.185014 loss: 1.199474 eta: 1 day, 8:42:26 batch_cost: 2.3233 data_cost: 0.0013 ips: 24.1038 images/s [10/22 02:06:39] ppdet.engine INFO: Epoch: [107] [180/261] learning_rate: 0.214308 loss_vfl: 0.763619 loss_bbox: 0.270663 loss_dfl: 0.187356 loss: 1.244480 eta: 1 day, 8:41:38 batch_cost: 2.3258 data_cost: 0.0014 ips: 24.0773 images/s [10/22 02:07:27] ppdet.engine INFO: Epoch: [107] [200/261] learning_rate: 0.214199 loss_vfl: 0.741240 loss_bbox: 0.269801 loss_dfl: 0.185579 loss: 1.197148 eta: 1 day, 8:40:48 batch_cost: 2.2643 data_cost: 0.0013 ips: 24.7321 images/s [10/22 02:08:14] ppdet.engine INFO: Epoch: [107] [220/261] learning_rate: 0.214090 loss_vfl: 0.763168 loss_bbox: 0.280337 loss_dfl: 0.189681 loss: 1.228267 eta: 1 day, 8:39:57 batch_cost: 2.2076 data_cost: 0.0014 ips: 25.3667 images/s [10/22 02:09:05] ppdet.engine INFO: Epoch: [107] [240/261] learning_rate: 0.213981 loss_vfl: 0.749537 loss_bbox: 0.281072 loss_dfl: 0.190555 loss: 1.217357 eta: 1 day, 8:39:13 batch_cost: 2.4363 data_cost: 0.0014 ips: 22.9857 images/s [10/22 02:09:45] ppdet.engine INFO: Epoch: [107] [260/261] learning_rate: 0.213872 loss_vfl: 0.738517 loss_bbox: 0.281731 loss_dfl: 0.192726 loss: 1.220072 eta: 1 day, 8:38:10 batch_cost: 1.8961 data_cost: 0.0014 ips: 29.5349 images/s [10/22 02:10:09] ppdet.engine INFO: Epoch: [108] [ 0/261] learning_rate: 0.213867 loss_vfl: 0.742038 loss_bbox: 0.281731 loss_dfl: 0.192726 loss: 1.220072 eta: 1 day, 8:38:36 batch_cost: 2.7210 data_cost: 0.2309 ips: 20.5807 images/s [10/22 02:11:03] ppdet.engine INFO: Epoch: [108] [ 20/261] learning_rate: 0.213758 loss_vfl: 0.741891 loss_bbox: 0.299969 loss_dfl: 0.193300 loss: 1.238256 eta: 1 day, 8:37:56 batch_cost: 2.5356 data_cost: 0.0013 ips: 22.0859 images/s [10/22 02:11:53] ppdet.engine INFO: Epoch: [108] [ 40/261] learning_rate: 0.213649 loss_vfl: 0.753618 loss_bbox: 0.269555 loss_dfl: 0.175544 loss: 1.199264 eta: 1 day, 8:37:09 batch_cost: 2.3387 data_cost: 0.0013 ips: 23.9449 images/s [10/22 02:12:44] ppdet.engine INFO: Epoch: [108] [ 60/261] learning_rate: 0.213540 loss_vfl: 0.739497 loss_bbox: 0.279596 loss_dfl: 0.182406 loss: 1.221593 eta: 1 day, 8:36:24 batch_cost: 2.4127 data_cost: 0.0014 ips: 23.2103 images/s [10/22 02:13:31] ppdet.engine INFO: Epoch: [108] [ 80/261] learning_rate: 0.213431 loss_vfl: 0.746822 loss_bbox: 0.280291 loss_dfl: 0.189853 loss: 1.235291 eta: 1 day, 8:35:33 batch_cost: 2.2132 data_cost: 0.0013 ips: 25.3028 images/s [10/22 02:14:20] ppdet.engine INFO: Epoch: [108] [100/261] learning_rate: 0.213322 loss_vfl: 0.746835 loss_bbox: 0.277966 loss_dfl: 0.184818 loss: 1.207677 eta: 1 day, 8:34:44 batch_cost: 2.2973 data_cost: 0.0014 ips: 24.3767 images/s [10/22 02:15:06] ppdet.engine INFO: Epoch: [108] [120/261] learning_rate: 0.213213 loss_vfl: 0.750738 loss_bbox: 0.290845 loss_dfl: 0.189036 loss: 1.224147 eta: 1 day, 8:33:53 batch_cost: 2.2119 data_cost: 0.0014 ips: 25.3175 images/s [10/22 02:15:54] ppdet.engine INFO: Epoch: [108] [140/261] learning_rate: 0.213104 loss_vfl: 0.747694 loss_bbox: 0.283217 loss_dfl: 0.187283 loss: 1.216702 eta: 1 day, 8:33:01 batch_cost: 2.1993 data_cost: 0.0013 ips: 25.4622 images/s [10/22 02:16:43] ppdet.engine INFO: Epoch: [108] [160/261] learning_rate: 0.212994 loss_vfl: 0.765647 loss_bbox: 0.299083 loss_dfl: 0.188740 loss: 1.250865 eta: 1 day, 8:32:13 batch_cost: 2.3142 data_cost: 0.0014 ips: 24.1982 images/s [10/22 02:17:28] ppdet.engine INFO: Epoch: [108] [180/261] learning_rate: 0.212885 loss_vfl: 0.743776 loss_bbox: 0.277768 loss_dfl: 0.192917 loss: 1.209753 eta: 1 day, 8:31:17 batch_cost: 2.0922 data_cost: 0.0014 ips: 26.7667 images/s [10/22 02:18:20] ppdet.engine INFO: Epoch: [108] [200/261] learning_rate: 0.212776 loss_vfl: 0.757516 loss_bbox: 0.282597 loss_dfl: 0.190309 loss: 1.239202 eta: 1 day, 8:30:29 batch_cost: 2.3207 data_cost: 0.0013 ips: 24.1304 images/s [10/22 02:19:09] ppdet.engine INFO: Epoch: [108] [220/261] learning_rate: 0.212666 loss_vfl: 0.755677 loss_bbox: 0.277536 loss_dfl: 0.188417 loss: 1.216859 eta: 1 day, 8:29:42 batch_cost: 2.3448 data_cost: 0.0013 ips: 23.8828 images/s [10/22 02:19:57] ppdet.engine INFO: Epoch: [108] [240/261] learning_rate: 0.212557 loss_vfl: 0.754585 loss_bbox: 0.280400 loss_dfl: 0.188235 loss: 1.228135 eta: 1 day, 8:28:51 batch_cost: 2.2145 data_cost: 0.0015 ips: 25.2875 images/s [10/22 02:20:39] ppdet.engine INFO: Epoch: [108] [260/261] learning_rate: 0.212448 loss_vfl: 0.750767 loss_bbox: 0.282723 loss_dfl: 0.181048 loss: 1.230432 eta: 1 day, 8:27:51 batch_cost: 1.9794 data_cost: 0.0011 ips: 28.2920 images/s [10/22 02:21:04] ppdet.engine INFO: Epoch: [109] [ 0/261] learning_rate: 0.212442 loss_vfl: 0.757828 loss_bbox: 0.282723 loss_dfl: 0.181048 loss: 1.230432 eta: 1 day, 8:28:18 batch_cost: 2.8394 data_cost: 0.2317 ips: 19.7228 images/s [10/22 02:21:57] ppdet.engine INFO: Epoch: [109] [ 20/261] learning_rate: 0.212333 loss_vfl: 0.741273 loss_bbox: 0.269731 loss_dfl: 0.187426 loss: 1.197240 eta: 1 day, 8:27:37 batch_cost: 2.5042 data_cost: 0.0013 ips: 22.3623 images/s [10/22 02:22:47] ppdet.engine INFO: Epoch: [109] [ 40/261] learning_rate: 0.212223 loss_vfl: 0.734310 loss_bbox: 0.272329 loss_dfl: 0.183057 loss: 1.227886 eta: 1 day, 8:26:50 batch_cost: 2.3346 data_cost: 0.0013 ips: 23.9870 images/s [10/22 02:23:34] ppdet.engine INFO: Epoch: [109] [ 60/261] learning_rate: 0.212114 loss_vfl: 0.750262 loss_bbox: 0.276826 loss_dfl: 0.182945 loss: 1.214720 eta: 1 day, 8:25:59 batch_cost: 2.2396 data_cost: 0.0013 ips: 25.0043 images/s [10/22 02:24:24] ppdet.engine INFO: Epoch: [109] [ 80/261] learning_rate: 0.212004 loss_vfl: 0.759619 loss_bbox: 0.292671 loss_dfl: 0.186873 loss: 1.230354 eta: 1 day, 8:25:11 batch_cost: 2.3158 data_cost: 0.0013 ips: 24.1817 images/s [10/22 02:25:13] ppdet.engine INFO: Epoch: [109] [100/261] learning_rate: 0.211894 loss_vfl: 0.737789 loss_bbox: 0.278663 loss_dfl: 0.180062 loss: 1.188014 eta: 1 day, 8:24:23 batch_cost: 2.3081 data_cost: 0.0014 ips: 24.2626 images/s [10/22 02:26:01] ppdet.engine INFO: Epoch: [109] [120/261] learning_rate: 0.211785 loss_vfl: 0.766345 loss_bbox: 0.279059 loss_dfl: 0.190323 loss: 1.235992 eta: 1 day, 8:23:35 batch_cost: 2.3074 data_cost: 0.0013 ips: 24.2700 images/s [10/22 02:26:52] ppdet.engine INFO: Epoch: [109] [140/261] learning_rate: 0.211675 loss_vfl: 0.740808 loss_bbox: 0.282126 loss_dfl: 0.188844 loss: 1.214658 eta: 1 day, 8:22:48 batch_cost: 2.3346 data_cost: 0.0013 ips: 23.9869 images/s [10/22 02:27:39] ppdet.engine INFO: Epoch: [109] [160/261] learning_rate: 0.211565 loss_vfl: 0.757130 loss_bbox: 0.291900 loss_dfl: 0.191080 loss: 1.234724 eta: 1 day, 8:21:58 batch_cost: 2.2808 data_cost: 0.0076 ips: 24.5524 images/s [10/22 02:28:29] ppdet.engine INFO: Epoch: [109] [180/261] learning_rate: 0.211456 loss_vfl: 0.742950 loss_bbox: 0.278502 loss_dfl: 0.187517 loss: 1.206463 eta: 1 day, 8:21:08 batch_cost: 2.2445 data_cost: 0.0014 ips: 24.9501 images/s [10/22 02:29:16] ppdet.engine INFO: Epoch: [109] [200/261] learning_rate: 0.211346 loss_vfl: 0.750130 loss_bbox: 0.291192 loss_dfl: 0.185738 loss: 1.220353 eta: 1 day, 8:20:16 batch_cost: 2.1839 data_cost: 0.0013 ips: 25.6419 images/s [10/22 02:30:04] ppdet.engine INFO: Epoch: [109] [220/261] learning_rate: 0.211236 loss_vfl: 0.769240 loss_bbox: 0.270577 loss_dfl: 0.177985 loss: 1.217937 eta: 1 day, 8:19:25 batch_cost: 2.2510 data_cost: 0.0013 ips: 24.8776 images/s [10/22 02:30:53] ppdet.engine INFO: Epoch: [109] [240/261] learning_rate: 0.211126 loss_vfl: 0.748616 loss_bbox: 0.271791 loss_dfl: 0.182399 loss: 1.206368 eta: 1 day, 8:18:36 batch_cost: 2.2721 data_cost: 0.0014 ips: 24.6463 images/s [10/22 02:31:34] ppdet.engine INFO: Epoch: [109] [260/261] learning_rate: 0.211016 loss_vfl: 0.741544 loss_bbox: 0.284032 loss_dfl: 0.187322 loss: 1.219616 eta: 1 day, 8:17:34 batch_cost: 1.9168 data_cost: 0.0012 ips: 29.2151 images/s [10/22 02:31:40] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 02:31:40] ppdet.engine INFO: Eval iter: 0 [10/22 02:32:09] ppdet.engine INFO: Eval iter: 100 [10/22 02:32:26] ppdet.engine INFO: Eval iter: 200 [10/22 02:32:42] ppdet.engine INFO: Eval iter: 300 [10/22 02:32:58] ppdet.engine INFO: Eval iter: 400 [10/22 02:33:14] ppdet.engine INFO: Eval iter: 500 [10/22 02:33:30] ppdet.engine INFO: Eval iter: 600 [10/22 02:33:45] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.91s) creating index... index created! [10/22 02:33:46] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.65s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=70.59s). Accumulating evaluation results... DONE (t=12.29s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.355 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.517 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.374 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.146 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.386 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.557 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.301 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.473 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.238 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.569 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.732 [10/22 02:35:16] ppdet.engine INFO: Total sample number: 4952, averge FPS: 43.037050158230656 [10/22 02:35:16] ppdet.engine INFO: Best test bbox ap is 0.355. [10/22 02:35:16] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 02:35:19] ppdet.engine INFO: Epoch: [110] [ 0/261] learning_rate: 0.211010 loss_vfl: 0.736846 loss_bbox: 0.281959 loss_dfl: 0.184047 loss: 1.202867 eta: 1 day, 8:17:34 batch_cost: 2.0077 data_cost: 0.0013 ips: 27.8932 images/s [10/22 02:36:16] ppdet.engine INFO: Epoch: [110] [ 20/261] learning_rate: 0.210901 loss_vfl: 0.736506 loss_bbox: 0.259845 loss_dfl: 0.171448 loss: 1.176340 eta: 1 day, 8:16:58 batch_cost: 2.6816 data_cost: 0.0014 ips: 20.8834 images/s [10/22 02:37:04] ppdet.engine INFO: Epoch: [110] [ 40/261] learning_rate: 0.210790 loss_vfl: 0.731250 loss_bbox: 0.286748 loss_dfl: 0.195370 loss: 1.244530 eta: 1 day, 8:16:10 batch_cost: 2.2972 data_cost: 0.0014 ips: 24.3772 images/s [10/22 02:37:56] ppdet.engine INFO: Epoch: [110] [ 60/261] learning_rate: 0.210680 loss_vfl: 0.741605 loss_bbox: 0.278799 loss_dfl: 0.193103 loss: 1.239917 eta: 1 day, 8:15:26 batch_cost: 2.4437 data_cost: 0.0013 ips: 22.9161 images/s [10/22 02:38:45] ppdet.engine INFO: Epoch: [110] [ 80/261] learning_rate: 0.210570 loss_vfl: 0.768054 loss_bbox: 0.277481 loss_dfl: 0.178139 loss: 1.201492 eta: 1 day, 8:14:38 batch_cost: 2.3066 data_cost: 0.0013 ips: 24.2783 images/s [10/22 02:39:35] ppdet.engine INFO: Epoch: [110] [100/261] learning_rate: 0.210460 loss_vfl: 0.739833 loss_bbox: 0.281332 loss_dfl: 0.188557 loss: 1.197748 eta: 1 day, 8:13:52 batch_cost: 2.3487 data_cost: 0.0014 ips: 23.8427 images/s [10/22 02:40:24] ppdet.engine INFO: Epoch: [110] [120/261] learning_rate: 0.210350 loss_vfl: 0.749453 loss_bbox: 0.275692 loss_dfl: 0.190028 loss: 1.201321 eta: 1 day, 8:13:02 batch_cost: 2.2680 data_cost: 0.0014 ips: 24.6910 images/s [10/22 02:41:14] ppdet.engine INFO: Epoch: [110] [140/261] learning_rate: 0.210240 loss_vfl: 0.737951 loss_bbox: 0.278480 loss_dfl: 0.188555 loss: 1.222792 eta: 1 day, 8:12:14 batch_cost: 2.3107 data_cost: 0.0013 ips: 24.2352 images/s [10/22 02:42:04] ppdet.engine INFO: Epoch: [110] [160/261] learning_rate: 0.210130 loss_vfl: 0.750359 loss_bbox: 0.269183 loss_dfl: 0.183544 loss: 1.237396 eta: 1 day, 8:11:27 batch_cost: 2.3557 data_cost: 0.0013 ips: 23.7723 images/s [10/22 02:42:54] ppdet.engine INFO: Epoch: [110] [180/261] learning_rate: 0.210019 loss_vfl: 0.746278 loss_bbox: 0.289664 loss_dfl: 0.194502 loss: 1.233686 eta: 1 day, 8:10:41 batch_cost: 2.3694 data_cost: 0.0013 ips: 23.6350 images/s [10/22 02:43:42] ppdet.engine INFO: Epoch: [110] [200/261] learning_rate: 0.209909 loss_vfl: 0.742361 loss_bbox: 0.284782 loss_dfl: 0.183549 loss: 1.204396 eta: 1 day, 8:09:51 batch_cost: 2.2437 data_cost: 0.0013 ips: 24.9585 images/s [10/22 02:44:33] ppdet.engine INFO: Epoch: [110] [220/261] learning_rate: 0.209799 loss_vfl: 0.752300 loss_bbox: 0.306493 loss_dfl: 0.193601 loss: 1.251226 eta: 1 day, 8:09:06 batch_cost: 2.3851 data_cost: 0.0014 ips: 23.4790 images/s [10/22 02:45:24] ppdet.engine INFO: Epoch: [110] [240/261] learning_rate: 0.209688 loss_vfl: 0.740918 loss_bbox: 0.270112 loss_dfl: 0.183443 loss: 1.213330 eta: 1 day, 8:08:21 batch_cost: 2.4233 data_cost: 0.0013 ips: 23.1092 images/s [10/22 02:46:09] ppdet.engine INFO: Epoch: [110] [260/261] learning_rate: 0.209578 loss_vfl: 0.737983 loss_bbox: 0.274220 loss_dfl: 0.191858 loss: 1.211305 eta: 1 day, 8:07:28 batch_cost: 2.1568 data_cost: 0.0012 ips: 25.9639 images/s [10/22 02:46:32] ppdet.engine INFO: Epoch: [111] [ 0/261] learning_rate: 0.209572 loss_vfl: 0.743071 loss_bbox: 0.274220 loss_dfl: 0.191858 loss: 1.211305 eta: 1 day, 8:07:51 batch_cost: 2.9173 data_cost: 0.3342 ips: 19.1955 images/s [10/22 02:47:28] ppdet.engine INFO: Epoch: [111] [ 20/261] learning_rate: 0.209462 loss_vfl: 0.751768 loss_bbox: 0.268490 loss_dfl: 0.176159 loss: 1.201834 eta: 1 day, 8:07:14 batch_cost: 2.6324 data_cost: 0.0013 ips: 21.2731 images/s [10/22 02:48:18] ppdet.engine INFO: Epoch: [111] [ 40/261] learning_rate: 0.209351 loss_vfl: 0.743877 loss_bbox: 0.276813 loss_dfl: 0.180607 loss: 1.212452 eta: 1 day, 8:06:27 batch_cost: 2.3447 data_cost: 0.0013 ips: 23.8834 images/s [10/22 02:49:09] ppdet.engine INFO: Epoch: [111] [ 60/261] learning_rate: 0.209241 loss_vfl: 0.756591 loss_bbox: 0.282802 loss_dfl: 0.189116 loss: 1.236007 eta: 1 day, 8:05:40 batch_cost: 2.3568 data_cost: 0.0013 ips: 23.7606 images/s [10/22 02:49:57] ppdet.engine INFO: Epoch: [111] [ 80/261] learning_rate: 0.209130 loss_vfl: 0.752802 loss_bbox: 0.301284 loss_dfl: 0.199043 loss: 1.242725 eta: 1 day, 8:04:50 batch_cost: 2.2594 data_cost: 0.0013 ips: 24.7856 images/s [10/22 02:50:45] ppdet.engine INFO: Epoch: [111] [100/261] learning_rate: 0.209019 loss_vfl: 0.736607 loss_bbox: 0.267912 loss_dfl: 0.185955 loss: 1.194427 eta: 1 day, 8:03:59 batch_cost: 2.2003 data_cost: 0.0014 ips: 25.4513 images/s [10/22 02:51:34] ppdet.engine INFO: Epoch: [111] [120/261] learning_rate: 0.208909 loss_vfl: 0.749636 loss_bbox: 0.266025 loss_dfl: 0.182212 loss: 1.212653 eta: 1 day, 8:03:10 batch_cost: 2.3027 data_cost: 0.0013 ips: 24.3191 images/s [10/22 02:52:22] ppdet.engine INFO: Epoch: [111] [140/261] learning_rate: 0.208798 loss_vfl: 0.756837 loss_bbox: 0.285352 loss_dfl: 0.183021 loss: 1.219457 eta: 1 day, 8:02:21 batch_cost: 2.2746 data_cost: 0.0013 ips: 24.6192 images/s [10/22 02:53:13] ppdet.engine INFO: Epoch: [111] [160/261] learning_rate: 0.208687 loss_vfl: 0.751199 loss_bbox: 0.271007 loss_dfl: 0.181260 loss: 1.218573 eta: 1 day, 8:01:34 batch_cost: 2.3527 data_cost: 0.0013 ips: 23.8027 images/s [10/22 02:54:00] ppdet.engine INFO: Epoch: [111] [180/261] learning_rate: 0.208576 loss_vfl: 0.770529 loss_bbox: 0.296166 loss_dfl: 0.189829 loss: 1.236316 eta: 1 day, 8:00:44 batch_cost: 2.2356 data_cost: 0.0013 ips: 25.0495 images/s [10/22 02:54:47] ppdet.engine INFO: Epoch: [111] [200/261] learning_rate: 0.208466 loss_vfl: 0.761498 loss_bbox: 0.273964 loss_dfl: 0.183141 loss: 1.223189 eta: 1 day, 7:59:52 batch_cost: 2.1933 data_cost: 0.0014 ips: 25.5322 images/s [10/22 02:55:38] ppdet.engine INFO: Epoch: [111] [220/261] learning_rate: 0.208355 loss_vfl: 0.747940 loss_bbox: 0.303163 loss_dfl: 0.193694 loss: 1.268489 eta: 1 day, 7:59:06 batch_cost: 2.3766 data_cost: 0.0088 ips: 23.5632 images/s [10/22 02:56:27] ppdet.engine INFO: Epoch: [111] [240/261] learning_rate: 0.208244 loss_vfl: 0.761521 loss_bbox: 0.280358 loss_dfl: 0.187407 loss: 1.231987 eta: 1 day, 7:58:19 batch_cost: 2.3560 data_cost: 0.0013 ips: 23.7690 images/s [10/22 02:57:10] ppdet.engine INFO: Epoch: [111] [260/261] learning_rate: 0.208133 loss_vfl: 0.740742 loss_bbox: 0.284485 loss_dfl: 0.189041 loss: 1.229580 eta: 1 day, 7:57:23 batch_cost: 2.0628 data_cost: 0.0012 ips: 27.1482 images/s [10/22 02:57:33] ppdet.engine INFO: Epoch: [112] [ 0/261] learning_rate: 0.208127 loss_vfl: 0.740742 loss_bbox: 0.284485 loss_dfl: 0.187337 loss: 1.229580 eta: 1 day, 7:57:46 batch_cost: 2.8144 data_cost: 0.2888 ips: 19.8973 images/s [10/22 02:58:28] ppdet.engine INFO: Epoch: [112] [ 20/261] learning_rate: 0.208016 loss_vfl: 0.742278 loss_bbox: 0.285971 loss_dfl: 0.187817 loss: 1.213027 eta: 1 day, 7:57:08 batch_cost: 2.6118 data_cost: 0.0013 ips: 21.4411 images/s [10/22 02:59:17] ppdet.engine INFO: Epoch: [112] [ 40/261] learning_rate: 0.207905 loss_vfl: 0.747569 loss_bbox: 0.259154 loss_dfl: 0.178742 loss: 1.207882 eta: 1 day, 7:56:20 batch_cost: 2.3230 data_cost: 0.0013 ips: 24.1063 images/s [10/22 03:00:05] ppdet.engine INFO: Epoch: [112] [ 60/261] learning_rate: 0.207794 loss_vfl: 0.734803 loss_bbox: 0.275772 loss_dfl: 0.185359 loss: 1.186986 eta: 1 day, 7:55:31 batch_cost: 2.2818 data_cost: 0.0014 ips: 24.5416 images/s [10/22 03:00:54] ppdet.engine INFO: Epoch: [112] [ 80/261] learning_rate: 0.207683 loss_vfl: 0.738159 loss_bbox: 0.263431 loss_dfl: 0.182022 loss: 1.197123 eta: 1 day, 7:54:43 batch_cost: 2.3101 data_cost: 0.0014 ips: 24.2415 images/s [10/22 03:01:44] ppdet.engine INFO: Epoch: [112] [100/261] learning_rate: 0.207572 loss_vfl: 0.721453 loss_bbox: 0.280882 loss_dfl: 0.183109 loss: 1.206228 eta: 1 day, 7:53:56 batch_cost: 2.3310 data_cost: 0.0013 ips: 24.0240 images/s [10/22 03:02:33] ppdet.engine INFO: Epoch: [112] [120/261] learning_rate: 0.207461 loss_vfl: 0.738319 loss_bbox: 0.280250 loss_dfl: 0.194645 loss: 1.214828 eta: 1 day, 7:53:10 batch_cost: 2.3644 data_cost: 0.0013 ips: 23.6850 images/s [10/22 03:03:22] ppdet.engine INFO: Epoch: [112] [140/261] learning_rate: 0.207350 loss_vfl: 0.740478 loss_bbox: 0.268874 loss_dfl: 0.177821 loss: 1.192188 eta: 1 day, 7:52:22 batch_cost: 2.3365 data_cost: 0.0013 ips: 23.9678 images/s [10/22 03:04:10] ppdet.engine INFO: Epoch: [112] [160/261] learning_rate: 0.207238 loss_vfl: 0.744578 loss_bbox: 0.285545 loss_dfl: 0.190156 loss: 1.229514 eta: 1 day, 7:51:32 batch_cost: 2.2388 data_cost: 0.0013 ips: 25.0132 images/s [10/22 03:04:59] ppdet.engine INFO: Epoch: [112] [180/261] learning_rate: 0.207127 loss_vfl: 0.737775 loss_bbox: 0.272600 loss_dfl: 0.183152 loss: 1.188186 eta: 1 day, 7:50:44 batch_cost: 2.3194 data_cost: 0.0013 ips: 24.1443 images/s [10/22 03:05:48] ppdet.engine INFO: Epoch: [112] [200/261] learning_rate: 0.207016 loss_vfl: 0.760585 loss_bbox: 0.291881 loss_dfl: 0.188940 loss: 1.236211 eta: 1 day, 7:49:56 batch_cost: 2.2896 data_cost: 0.0013 ips: 24.4589 images/s [10/22 03:06:39] ppdet.engine INFO: Epoch: [112] [220/261] learning_rate: 0.206905 loss_vfl: 0.736991 loss_bbox: 0.268894 loss_dfl: 0.182006 loss: 1.195134 eta: 1 day, 7:49:11 batch_cost: 2.4264 data_cost: 0.0013 ips: 23.0797 images/s [10/22 03:07:29] ppdet.engine INFO: Epoch: [112] [240/261] learning_rate: 0.206793 loss_vfl: 0.754741 loss_bbox: 0.285043 loss_dfl: 0.189526 loss: 1.219726 eta: 1 day, 7:48:26 batch_cost: 2.3817 data_cost: 0.0013 ips: 23.5129 images/s [10/22 03:08:13] ppdet.engine INFO: Epoch: [112] [260/261] learning_rate: 0.206682 loss_vfl: 0.732728 loss_bbox: 0.268443 loss_dfl: 0.182727 loss: 1.205638 eta: 1 day, 7:47:29 batch_cost: 2.0445 data_cost: 0.0013 ips: 27.3908 images/s [10/22 03:08:38] ppdet.engine INFO: Epoch: [113] [ 0/261] learning_rate: 0.206676 loss_vfl: 0.731722 loss_bbox: 0.269701 loss_dfl: 0.183345 loss: 1.205638 eta: 1 day, 7:47:54 batch_cost: 2.8919 data_cost: 0.2990 ips: 19.3646 images/s [10/22 03:09:31] ppdet.engine INFO: Epoch: [113] [ 20/261] learning_rate: 0.206565 loss_vfl: 0.749437 loss_bbox: 0.291722 loss_dfl: 0.190364 loss: 1.241966 eta: 1 day, 7:47:13 batch_cost: 2.5129 data_cost: 0.0014 ips: 22.2847 images/s [10/22 03:10:20] ppdet.engine INFO: Epoch: [113] [ 40/261] learning_rate: 0.206453 loss_vfl: 0.731686 loss_bbox: 0.277905 loss_dfl: 0.185032 loss: 1.198525 eta: 1 day, 7:46:22 batch_cost: 2.2070 data_cost: 0.0013 ips: 25.3733 images/s [10/22 03:11:07] ppdet.engine INFO: Epoch: [113] [ 60/261] learning_rate: 0.206342 loss_vfl: 0.743350 loss_bbox: 0.282022 loss_dfl: 0.184644 loss: 1.193577 eta: 1 day, 7:45:31 batch_cost: 2.2351 data_cost: 0.0014 ips: 25.0552 images/s [10/22 03:11:54] ppdet.engine INFO: Epoch: [113] [ 80/261] learning_rate: 0.206230 loss_vfl: 0.753975 loss_bbox: 0.271359 loss_dfl: 0.185491 loss: 1.212489 eta: 1 day, 7:44:39 batch_cost: 2.1891 data_cost: 0.0014 ips: 25.5815 images/s [10/22 03:12:43] ppdet.engine INFO: Epoch: [113] [100/261] learning_rate: 0.206118 loss_vfl: 0.757765 loss_bbox: 0.266987 loss_dfl: 0.183354 loss: 1.225027 eta: 1 day, 7:43:49 batch_cost: 2.2567 data_cost: 0.0014 ips: 24.8146 images/s [10/22 03:13:32] ppdet.engine INFO: Epoch: [113] [120/261] learning_rate: 0.206007 loss_vfl: 0.736571 loss_bbox: 0.272730 loss_dfl: 0.188565 loss: 1.194607 eta: 1 day, 7:43:01 batch_cost: 2.2980 data_cost: 0.0014 ips: 24.3693 images/s [10/22 03:14:19] ppdet.engine INFO: Epoch: [113] [140/261] learning_rate: 0.205895 loss_vfl: 0.760213 loss_bbox: 0.272746 loss_dfl: 0.184251 loss: 1.215754 eta: 1 day, 7:42:10 batch_cost: 2.2166 data_cost: 0.0014 ips: 25.2634 images/s [10/22 03:15:07] ppdet.engine INFO: Epoch: [113] [160/261] learning_rate: 0.205783 loss_vfl: 0.747816 loss_bbox: 0.274770 loss_dfl: 0.183145 loss: 1.215094 eta: 1 day, 7:41:18 batch_cost: 2.2178 data_cost: 0.0013 ips: 25.2500 images/s [10/22 03:15:57] ppdet.engine INFO: Epoch: [113] [180/261] learning_rate: 0.205672 loss_vfl: 0.734602 loss_bbox: 0.287091 loss_dfl: 0.192311 loss: 1.208304 eta: 1 day, 7:40:32 batch_cost: 2.3484 data_cost: 0.0014 ips: 23.8461 images/s [10/22 03:16:45] ppdet.engine INFO: Epoch: [113] [200/261] learning_rate: 0.205560 loss_vfl: 0.744027 loss_bbox: 0.296610 loss_dfl: 0.196880 loss: 1.216636 eta: 1 day, 7:39:43 batch_cost: 2.2775 data_cost: 0.0013 ips: 24.5887 images/s [10/22 03:17:35] ppdet.engine INFO: Epoch: [113] [220/261] learning_rate: 0.205448 loss_vfl: 0.764527 loss_bbox: 0.291011 loss_dfl: 0.188095 loss: 1.252890 eta: 1 day, 7:38:55 batch_cost: 2.3317 data_cost: 0.0013 ips: 24.0169 images/s [10/22 03:18:24] ppdet.engine INFO: Epoch: [113] [240/261] learning_rate: 0.205336 loss_vfl: 0.744228 loss_bbox: 0.259325 loss_dfl: 0.185904 loss: 1.207944 eta: 1 day, 7:38:08 batch_cost: 2.3251 data_cost: 0.0013 ips: 24.0853 images/s [10/22 03:19:08] ppdet.engine INFO: Epoch: [113] [260/261] learning_rate: 0.205224 loss_vfl: 0.750067 loss_bbox: 0.276223 loss_dfl: 0.185748 loss: 1.196657 eta: 1 day, 7:37:12 batch_cost: 2.0821 data_cost: 0.0012 ips: 26.8966 images/s [10/22 03:19:32] ppdet.engine INFO: Epoch: [114] [ 0/261] learning_rate: 0.205219 loss_vfl: 0.756488 loss_bbox: 0.276223 loss_dfl: 0.185748 loss: 1.196657 eta: 1 day, 7:37:34 batch_cost: 2.8447 data_cost: 0.4219 ips: 19.6861 images/s [10/22 03:20:27] ppdet.engine INFO: Epoch: [114] [ 20/261] learning_rate: 0.205107 loss_vfl: 0.747556 loss_bbox: 0.281129 loss_dfl: 0.185661 loss: 1.199283 eta: 1 day, 7:36:57 batch_cost: 2.6260 data_cost: 0.0013 ips: 21.3248 images/s [10/22 03:21:16] ppdet.engine INFO: Epoch: [114] [ 40/261] learning_rate: 0.204995 loss_vfl: 0.750364 loss_bbox: 0.273598 loss_dfl: 0.182195 loss: 1.215038 eta: 1 day, 7:36:09 batch_cost: 2.3070 data_cost: 0.0013 ips: 24.2740 images/s [10/22 03:22:03] ppdet.engine INFO: Epoch: [114] [ 60/261] learning_rate: 0.204883 loss_vfl: 0.746520 loss_bbox: 0.285005 loss_dfl: 0.188359 loss: 1.232731 eta: 1 day, 7:35:16 batch_cost: 2.1781 data_cost: 0.0014 ips: 25.7109 images/s [10/22 03:22:52] ppdet.engine INFO: Epoch: [114] [ 80/261] learning_rate: 0.204771 loss_vfl: 0.738219 loss_bbox: 0.259538 loss_dfl: 0.185870 loss: 1.192413 eta: 1 day, 7:34:28 batch_cost: 2.2915 data_cost: 0.0013 ips: 24.4377 images/s [10/22 03:23:46] ppdet.engine INFO: Epoch: [114] [100/261] learning_rate: 0.204659 loss_vfl: 0.760328 loss_bbox: 0.275190 loss_dfl: 0.182612 loss: 1.222403 eta: 1 day, 7:33:46 batch_cost: 2.5186 data_cost: 0.0013 ips: 22.2348 images/s [10/22 03:24:34] ppdet.engine INFO: Epoch: [114] [120/261] learning_rate: 0.204547 loss_vfl: 0.741157 loss_bbox: 0.289825 loss_dfl: 0.193098 loss: 1.221763 eta: 1 day, 7:32:56 batch_cost: 2.2334 data_cost: 0.0013 ips: 25.0742 images/s [10/22 03:25:23] ppdet.engine INFO: Epoch: [114] [140/261] learning_rate: 0.204434 loss_vfl: 0.744274 loss_bbox: 0.278375 loss_dfl: 0.190971 loss: 1.227568 eta: 1 day, 7:32:07 batch_cost: 2.2760 data_cost: 0.0013 ips: 24.6044 images/s [10/22 03:26:12] ppdet.engine INFO: Epoch: [114] [160/261] learning_rate: 0.204322 loss_vfl: 0.758027 loss_bbox: 0.283602 loss_dfl: 0.188606 loss: 1.219577 eta: 1 day, 7:31:17 batch_cost: 2.2634 data_cost: 0.0013 ips: 24.7414 images/s [10/22 03:26:59] ppdet.engine INFO: Epoch: [114] [180/261] learning_rate: 0.204210 loss_vfl: 0.746649 loss_bbox: 0.254542 loss_dfl: 0.177541 loss: 1.188256 eta: 1 day, 7:30:26 batch_cost: 2.2302 data_cost: 0.0015 ips: 25.1101 images/s [10/22 03:27:48] ppdet.engine INFO: Epoch: [114] [200/261] learning_rate: 0.204098 loss_vfl: 0.752925 loss_bbox: 0.292879 loss_dfl: 0.187671 loss: 1.220325 eta: 1 day, 7:29:37 batch_cost: 2.2806 data_cost: 0.0013 ips: 24.5548 images/s [10/22 03:28:37] ppdet.engine INFO: Epoch: [114] [220/261] learning_rate: 0.203985 loss_vfl: 0.742612 loss_bbox: 0.287125 loss_dfl: 0.189936 loss: 1.206300 eta: 1 day, 7:28:49 batch_cost: 2.3131 data_cost: 0.0014 ips: 24.2100 images/s [10/22 03:29:29] ppdet.engine INFO: Epoch: [114] [240/261] learning_rate: 0.203873 loss_vfl: 0.749586 loss_bbox: 0.276510 loss_dfl: 0.183192 loss: 1.212283 eta: 1 day, 7:28:04 batch_cost: 2.4043 data_cost: 0.0014 ips: 23.2913 images/s [10/22 03:30:11] ppdet.engine INFO: Epoch: [114] [260/261] learning_rate: 0.203761 loss_vfl: 0.762840 loss_bbox: 0.283981 loss_dfl: 0.191969 loss: 1.215089 eta: 1 day, 7:27:07 batch_cost: 2.0076 data_cost: 0.0013 ips: 27.8934 images/s [10/22 03:30:33] ppdet.engine INFO: Epoch: [115] [ 0/261] learning_rate: 0.203755 loss_vfl: 0.762840 loss_bbox: 0.285632 loss_dfl: 0.194931 loss: 1.228377 eta: 1 day, 7:27:27 batch_cost: 2.7277 data_cost: 0.4586 ips: 20.5302 images/s [10/22 03:31:27] ppdet.engine INFO: Epoch: [115] [ 20/261] learning_rate: 0.203643 loss_vfl: 0.733277 loss_bbox: 0.270500 loss_dfl: 0.185850 loss: 1.191289 eta: 1 day, 7:26:46 batch_cost: 2.5381 data_cost: 0.0013 ips: 22.0642 images/s [10/22 03:32:18] ppdet.engine INFO: Epoch: [115] [ 40/261] learning_rate: 0.203530 loss_vfl: 0.724753 loss_bbox: 0.278657 loss_dfl: 0.187598 loss: 1.203337 eta: 1 day, 7:25:58 batch_cost: 2.3161 data_cost: 0.0013 ips: 24.1790 images/s [10/22 03:33:06] ppdet.engine INFO: Epoch: [115] [ 60/261] learning_rate: 0.203418 loss_vfl: 0.742074 loss_bbox: 0.280808 loss_dfl: 0.183289 loss: 1.228518 eta: 1 day, 7:25:10 batch_cost: 2.2871 data_cost: 0.0013 ips: 24.4850 images/s [10/22 03:33:54] ppdet.engine INFO: Epoch: [115] [ 80/261] learning_rate: 0.203305 loss_vfl: 0.743904 loss_bbox: 0.276332 loss_dfl: 0.182968 loss: 1.207128 eta: 1 day, 7:24:17 batch_cost: 2.1675 data_cost: 0.0013 ips: 25.8361 images/s [10/22 03:34:42] ppdet.engine INFO: Epoch: [115] [100/261] learning_rate: 0.203193 loss_vfl: 0.747275 loss_bbox: 0.279018 loss_dfl: 0.188891 loss: 1.239596 eta: 1 day, 7:23:28 batch_cost: 2.2864 data_cost: 0.0014 ips: 24.4925 images/s [10/22 03:35:31] ppdet.engine INFO: Epoch: [115] [120/261] learning_rate: 0.203080 loss_vfl: 0.764606 loss_bbox: 0.273448 loss_dfl: 0.188866 loss: 1.223575 eta: 1 day, 7:22:41 batch_cost: 2.3235 data_cost: 0.0014 ips: 24.1014 images/s [10/22 03:36:19] ppdet.engine INFO: Epoch: [115] [140/261] learning_rate: 0.202968 loss_vfl: 0.757896 loss_bbox: 0.263432 loss_dfl: 0.184446 loss: 1.215295 eta: 1 day, 7:21:51 batch_cost: 2.2598 data_cost: 0.0014 ips: 24.7813 images/s [10/22 03:37:08] ppdet.engine INFO: Epoch: [115] [160/261] learning_rate: 0.202855 loss_vfl: 0.750226 loss_bbox: 0.260539 loss_dfl: 0.177429 loss: 1.183525 eta: 1 day, 7:21:03 batch_cost: 2.2989 data_cost: 0.0013 ips: 24.3592 images/s [10/22 03:37:56] ppdet.engine INFO: Epoch: [115] [180/261] learning_rate: 0.202742 loss_vfl: 0.735405 loss_bbox: 0.275239 loss_dfl: 0.187205 loss: 1.203814 eta: 1 day, 7:20:13 batch_cost: 2.2592 data_cost: 0.0013 ips: 24.7876 images/s [10/22 03:38:45] ppdet.engine INFO: Epoch: [115] [200/261] learning_rate: 0.202630 loss_vfl: 0.758314 loss_bbox: 0.272887 loss_dfl: 0.185955 loss: 1.254303 eta: 1 day, 7:19:25 batch_cost: 2.3070 data_cost: 0.0014 ips: 24.2741 images/s [10/22 03:39:36] ppdet.engine INFO: Epoch: [115] [220/261] learning_rate: 0.202517 loss_vfl: 0.762408 loss_bbox: 0.287230 loss_dfl: 0.191502 loss: 1.252437 eta: 1 day, 7:18:39 batch_cost: 2.3816 data_cost: 0.0014 ips: 23.5134 images/s [10/22 03:40:25] ppdet.engine INFO: Epoch: [115] [240/261] learning_rate: 0.202404 loss_vfl: 0.726646 loss_bbox: 0.274692 loss_dfl: 0.181188 loss: 1.177677 eta: 1 day, 7:17:52 batch_cost: 2.3339 data_cost: 0.0014 ips: 23.9937 images/s [10/22 03:41:10] ppdet.engine INFO: Epoch: [115] [260/261] learning_rate: 0.202291 loss_vfl: 0.745121 loss_bbox: 0.266109 loss_dfl: 0.179663 loss: 1.198509 eta: 1 day, 7:16:58 batch_cost: 2.1292 data_cost: 0.0013 ips: 26.3006 images/s [10/22 03:41:34] ppdet.engine INFO: Epoch: [116] [ 0/261] learning_rate: 0.202286 loss_vfl: 0.745121 loss_bbox: 0.269518 loss_dfl: 0.179663 loss: 1.198509 eta: 1 day, 7:17:22 batch_cost: 2.9896 data_cost: 0.5658 ips: 18.7313 images/s [10/22 03:42:29] ppdet.engine INFO: Epoch: [116] [ 20/261] learning_rate: 0.202173 loss_vfl: 0.740595 loss_bbox: 0.292207 loss_dfl: 0.193290 loss: 1.227967 eta: 1 day, 7:16:42 batch_cost: 2.5819 data_cost: 0.0013 ips: 21.6898 images/s [10/22 03:43:17] ppdet.engine INFO: Epoch: [116] [ 40/261] learning_rate: 0.202060 loss_vfl: 0.758886 loss_bbox: 0.275403 loss_dfl: 0.184355 loss: 1.234225 eta: 1 day, 7:15:52 batch_cost: 2.2400 data_cost: 0.0013 ips: 24.9995 images/s [10/22 03:44:06] ppdet.engine INFO: Epoch: [116] [ 60/261] learning_rate: 0.201947 loss_vfl: 0.755590 loss_bbox: 0.276691 loss_dfl: 0.183841 loss: 1.214234 eta: 1 day, 7:15:01 batch_cost: 2.2164 data_cost: 0.0013 ips: 25.2658 images/s [10/22 03:44:55] ppdet.engine INFO: Epoch: [116] [ 80/261] learning_rate: 0.201834 loss_vfl: 0.744761 loss_bbox: 0.288225 loss_dfl: 0.194791 loss: 1.236158 eta: 1 day, 7:14:13 batch_cost: 2.3088 data_cost: 0.0013 ips: 24.2555 images/s [10/22 03:45:44] ppdet.engine INFO: Epoch: [116] [100/261] learning_rate: 0.201721 loss_vfl: 0.750873 loss_bbox: 0.293207 loss_dfl: 0.190458 loss: 1.228666 eta: 1 day, 7:13:23 batch_cost: 2.2463 data_cost: 0.0013 ips: 24.9297 images/s [10/22 03:46:35] ppdet.engine INFO: Epoch: [116] [120/261] learning_rate: 0.201608 loss_vfl: 0.749335 loss_bbox: 0.286207 loss_dfl: 0.191083 loss: 1.212982 eta: 1 day, 7:12:37 batch_cost: 2.3921 data_cost: 0.0013 ips: 23.4108 images/s [10/22 03:47:22] ppdet.engine INFO: Epoch: [116] [140/261] learning_rate: 0.201495 loss_vfl: 0.752580 loss_bbox: 0.281191 loss_dfl: 0.187710 loss: 1.216261 eta: 1 day, 7:11:46 batch_cost: 2.2162 data_cost: 0.0014 ips: 25.2684 images/s [10/22 03:48:11] ppdet.engine INFO: Epoch: [116] [160/261] learning_rate: 0.201382 loss_vfl: 0.756059 loss_bbox: 0.289747 loss_dfl: 0.186005 loss: 1.226835 eta: 1 day, 7:10:58 batch_cost: 2.2889 data_cost: 0.0013 ips: 24.4657 images/s [10/22 03:49:01] ppdet.engine INFO: Epoch: [116] [180/261] learning_rate: 0.201269 loss_vfl: 0.760988 loss_bbox: 0.283736 loss_dfl: 0.188284 loss: 1.240103 eta: 1 day, 7:10:12 batch_cost: 2.3776 data_cost: 0.0013 ips: 23.5531 images/s [10/22 03:49:50] ppdet.engine INFO: Epoch: [116] [200/261] learning_rate: 0.201156 loss_vfl: 0.746251 loss_bbox: 0.293717 loss_dfl: 0.188659 loss: 1.217533 eta: 1 day, 7:09:22 batch_cost: 2.2587 data_cost: 0.0014 ips: 24.7925 images/s [10/22 03:50:37] ppdet.engine INFO: Epoch: [116] [220/261] learning_rate: 0.201043 loss_vfl: 0.745975 loss_bbox: 0.265873 loss_dfl: 0.188050 loss: 1.200418 eta: 1 day, 7:08:32 batch_cost: 2.2291 data_cost: 0.0014 ips: 25.1217 images/s [10/22 03:51:24] ppdet.engine INFO: Epoch: [116] [240/261] learning_rate: 0.200930 loss_vfl: 0.731304 loss_bbox: 0.271142 loss_dfl: 0.189638 loss: 1.198615 eta: 1 day, 7:07:40 batch_cost: 2.2055 data_cost: 0.0014 ips: 25.3909 images/s [10/22 03:52:07] ppdet.engine INFO: Epoch: [116] [260/261] learning_rate: 0.200816 loss_vfl: 0.749371 loss_bbox: 0.297994 loss_dfl: 0.195833 loss: 1.228924 eta: 1 day, 7:06:42 batch_cost: 1.9921 data_cost: 0.0013 ips: 28.1106 images/s [10/22 03:52:29] ppdet.engine INFO: Epoch: [117] [ 0/261] learning_rate: 0.200811 loss_vfl: 0.749371 loss_bbox: 0.297994 loss_dfl: 0.192888 loss: 1.223231 eta: 1 day, 7:07:02 batch_cost: 2.6867 data_cost: 0.2392 ips: 20.8433 images/s [10/22 03:53:24] ppdet.engine INFO: Epoch: [117] [ 20/261] learning_rate: 0.200697 loss_vfl: 0.764401 loss_bbox: 0.275913 loss_dfl: 0.187789 loss: 1.239455 eta: 1 day, 7:06:20 batch_cost: 2.5067 data_cost: 0.0013 ips: 22.3400 images/s [10/22 03:54:13] ppdet.engine INFO: Epoch: [117] [ 40/261] learning_rate: 0.200584 loss_vfl: 0.756180 loss_bbox: 0.287583 loss_dfl: 0.190882 loss: 1.227388 eta: 1 day, 7:05:32 batch_cost: 2.2976 data_cost: 0.0013 ips: 24.3728 images/s [10/22 03:55:01] ppdet.engine INFO: Epoch: [117] [ 60/261] learning_rate: 0.200471 loss_vfl: 0.731911 loss_bbox: 0.286114 loss_dfl: 0.192553 loss: 1.205845 eta: 1 day, 7:04:44 batch_cost: 2.3367 data_cost: 0.0013 ips: 23.9652 images/s [10/22 03:55:48] ppdet.engine INFO: Epoch: [117] [ 80/261] learning_rate: 0.200357 loss_vfl: 0.761009 loss_bbox: 0.279495 loss_dfl: 0.199252 loss: 1.232287 eta: 1 day, 7:03:53 batch_cost: 2.2162 data_cost: 0.0014 ips: 25.2680 images/s [10/22 03:56:38] ppdet.engine INFO: Epoch: [117] [100/261] learning_rate: 0.200244 loss_vfl: 0.750879 loss_bbox: 0.287435 loss_dfl: 0.190164 loss: 1.226297 eta: 1 day, 7:03:08 batch_cost: 2.3847 data_cost: 0.0014 ips: 23.4833 images/s [10/22 03:57:25] ppdet.engine INFO: Epoch: [117] [120/261] learning_rate: 0.200131 loss_vfl: 0.746864 loss_bbox: 0.295859 loss_dfl: 0.194077 loss: 1.253612 eta: 1 day, 7:02:17 batch_cost: 2.2069 data_cost: 0.0013 ips: 25.3746 images/s [10/22 03:58:13] ppdet.engine INFO: Epoch: [117] [140/261] learning_rate: 0.200017 loss_vfl: 0.756821 loss_bbox: 0.275301 loss_dfl: 0.190128 loss: 1.234055 eta: 1 day, 7:01:26 batch_cost: 2.2210 data_cost: 0.0014 ips: 25.2140 images/s [10/22 03:59:00] ppdet.engine INFO: Epoch: [117] [160/261] learning_rate: 0.199904 loss_vfl: 0.723139 loss_bbox: 0.263515 loss_dfl: 0.179091 loss: 1.204063 eta: 1 day, 7:00:33 batch_cost: 2.1511 data_cost: 0.0014 ips: 26.0327 images/s [10/22 03:59:47] ppdet.engine INFO: Epoch: [117] [180/261] learning_rate: 0.199790 loss_vfl: 0.728779 loss_bbox: 0.270119 loss_dfl: 0.188060 loss: 1.197744 eta: 1 day, 6:59:44 batch_cost: 2.2742 data_cost: 0.0014 ips: 24.6238 images/s [10/22 04:00:36] ppdet.engine INFO: Epoch: [117] [200/261] learning_rate: 0.199677 loss_vfl: 0.740026 loss_bbox: 0.279739 loss_dfl: 0.193152 loss: 1.208239 eta: 1 day, 6:58:57 batch_cost: 2.3372 data_cost: 0.0014 ips: 23.9598 images/s [10/22 04:01:25] ppdet.engine INFO: Epoch: [117] [220/261] learning_rate: 0.199563 loss_vfl: 0.750509 loss_bbox: 0.271802 loss_dfl: 0.190239 loss: 1.228700 eta: 1 day, 6:58:08 batch_cost: 2.2894 data_cost: 0.0013 ips: 24.4606 images/s [10/22 04:02:12] ppdet.engine INFO: Epoch: [117] [240/261] learning_rate: 0.199449 loss_vfl: 0.748139 loss_bbox: 0.259053 loss_dfl: 0.178947 loss: 1.169056 eta: 1 day, 6:57:20 batch_cost: 2.2929 data_cost: 0.0013 ips: 24.4232 images/s [10/22 04:02:58] ppdet.engine INFO: Epoch: [117] [260/261] learning_rate: 0.199336 loss_vfl: 0.753437 loss_bbox: 0.277310 loss_dfl: 0.183095 loss: 1.207589 eta: 1 day, 6:56:27 batch_cost: 2.1634 data_cost: 0.0012 ips: 25.8847 images/s [10/22 04:03:19] ppdet.engine INFO: Epoch: [118] [ 0/261] learning_rate: 0.199330 loss_vfl: 0.751677 loss_bbox: 0.277580 loss_dfl: 0.185131 loss: 1.213612 eta: 1 day, 6:56:45 batch_cost: 2.8468 data_cost: 0.3178 ips: 19.6711 images/s [10/22 04:04:12] ppdet.engine INFO: Epoch: [118] [ 20/261] learning_rate: 0.199216 loss_vfl: 0.732981 loss_bbox: 0.272668 loss_dfl: 0.188862 loss: 1.184638 eta: 1 day, 6:56:03 batch_cost: 2.5231 data_cost: 0.0013 ips: 22.1950 images/s [10/22 04:05:01] ppdet.engine INFO: Epoch: [118] [ 40/261] learning_rate: 0.199103 loss_vfl: 0.741963 loss_bbox: 0.276175 loss_dfl: 0.182755 loss: 1.201786 eta: 1 day, 6:55:15 batch_cost: 2.2927 data_cost: 0.0013 ips: 24.4248 images/s [10/22 04:05:50] ppdet.engine INFO: Epoch: [118] [ 60/261] learning_rate: 0.198989 loss_vfl: 0.735873 loss_bbox: 0.263819 loss_dfl: 0.179237 loss: 1.187560 eta: 1 day, 6:54:27 batch_cost: 2.3085 data_cost: 0.0014 ips: 24.2577 images/s [10/22 04:06:37] ppdet.engine INFO: Epoch: [118] [ 80/261] learning_rate: 0.198875 loss_vfl: 0.743567 loss_bbox: 0.268179 loss_dfl: 0.190329 loss: 1.196830 eta: 1 day, 6:53:36 batch_cost: 2.2241 data_cost: 0.0013 ips: 25.1791 images/s [10/22 04:07:27] ppdet.engine INFO: Epoch: [118] [100/261] learning_rate: 0.198761 loss_vfl: 0.751141 loss_bbox: 0.280425 loss_dfl: 0.182705 loss: 1.221440 eta: 1 day, 6:52:51 batch_cost: 2.3996 data_cost: 0.0014 ips: 23.3368 images/s [10/22 04:08:15] ppdet.engine INFO: Epoch: [118] [120/261] learning_rate: 0.198647 loss_vfl: 0.731870 loss_bbox: 0.258878 loss_dfl: 0.173446 loss: 1.165112 eta: 1 day, 6:52:03 batch_cost: 2.3071 data_cost: 0.0014 ips: 24.2728 images/s [10/22 04:09:03] ppdet.engine INFO: Epoch: [118] [140/261] learning_rate: 0.198534 loss_vfl: 0.753516 loss_bbox: 0.275594 loss_dfl: 0.184221 loss: 1.209170 eta: 1 day, 6:51:13 batch_cost: 2.2660 data_cost: 0.0013 ips: 24.7131 images/s [10/22 04:09:51] ppdet.engine INFO: Epoch: [118] [160/261] learning_rate: 0.198420 loss_vfl: 0.733699 loss_bbox: 0.268998 loss_dfl: 0.189401 loss: 1.184299 eta: 1 day, 6:50:22 batch_cost: 2.1973 data_cost: 0.0013 ips: 25.4858 images/s [10/22 04:10:40] ppdet.engine INFO: Epoch: [118] [180/261] learning_rate: 0.198306 loss_vfl: 0.734985 loss_bbox: 0.267719 loss_dfl: 0.182382 loss: 1.188994 eta: 1 day, 6:49:35 batch_cost: 2.3420 data_cost: 0.0013 ips: 23.9113 images/s [10/22 04:11:29] ppdet.engine INFO: Epoch: [118] [200/261] learning_rate: 0.198192 loss_vfl: 0.740181 loss_bbox: 0.280905 loss_dfl: 0.186981 loss: 1.216221 eta: 1 day, 6:48:48 batch_cost: 2.3301 data_cost: 0.0013 ips: 24.0334 images/s [10/22 04:12:19] ppdet.engine INFO: Epoch: [118] [220/261] learning_rate: 0.198078 loss_vfl: 0.747712 loss_bbox: 0.280777 loss_dfl: 0.185641 loss: 1.216358 eta: 1 day, 6:48:01 batch_cost: 2.3485 data_cost: 0.0013 ips: 23.8454 images/s [10/22 04:13:09] ppdet.engine INFO: Epoch: [118] [240/261] learning_rate: 0.197964 loss_vfl: 0.742746 loss_bbox: 0.282908 loss_dfl: 0.189636 loss: 1.211584 eta: 1 day, 6:47:15 batch_cost: 2.3952 data_cost: 0.0013 ips: 23.3805 images/s [10/22 04:13:53] ppdet.engine INFO: Epoch: [118] [260/261] learning_rate: 0.197850 loss_vfl: 0.740897 loss_bbox: 0.268952 loss_dfl: 0.183763 loss: 1.199825 eta: 1 day, 6:46:19 batch_cost: 2.0468 data_cost: 0.0013 ips: 27.3601 images/s [10/22 04:14:18] ppdet.engine INFO: Epoch: [119] [ 0/261] learning_rate: 0.197844 loss_vfl: 0.740897 loss_bbox: 0.268952 loss_dfl: 0.183763 loss: 1.199825 eta: 1 day, 6:46:43 batch_cost: 2.8945 data_cost: 0.4102 ips: 19.3468 images/s [10/22 04:15:15] ppdet.engine INFO: Epoch: [119] [ 20/261] learning_rate: 0.197730 loss_vfl: 0.727821 loss_bbox: 0.284490 loss_dfl: 0.185868 loss: 1.190811 eta: 1 day, 6:46:06 batch_cost: 2.6627 data_cost: 0.0013 ips: 21.0314 images/s [10/22 04:16:07] ppdet.engine INFO: Epoch: [119] [ 40/261] learning_rate: 0.197616 loss_vfl: 0.734495 loss_bbox: 0.269490 loss_dfl: 0.176334 loss: 1.189904 eta: 1 day, 6:45:21 batch_cost: 2.4233 data_cost: 0.0013 ips: 23.1094 images/s [10/22 04:16:55] ppdet.engine INFO: Epoch: [119] [ 60/261] learning_rate: 0.197502 loss_vfl: 0.744875 loss_bbox: 0.269988 loss_dfl: 0.182816 loss: 1.211290 eta: 1 day, 6:44:31 batch_cost: 2.2311 data_cost: 0.0013 ips: 25.0999 images/s [10/22 04:17:44] ppdet.engine INFO: Epoch: [119] [ 80/261] learning_rate: 0.197387 loss_vfl: 0.751956 loss_bbox: 0.285214 loss_dfl: 0.195217 loss: 1.236835 eta: 1 day, 6:43:44 batch_cost: 2.3562 data_cost: 0.0088 ips: 23.7668 images/s [10/22 04:18:33] ppdet.engine INFO: Epoch: [119] [100/261] learning_rate: 0.197273 loss_vfl: 0.727431 loss_bbox: 0.284396 loss_dfl: 0.186951 loss: 1.203821 eta: 1 day, 6:42:56 batch_cost: 2.2963 data_cost: 0.0013 ips: 24.3871 images/s [10/22 04:19:20] ppdet.engine INFO: Epoch: [119] [120/261] learning_rate: 0.197159 loss_vfl: 0.756855 loss_bbox: 0.287446 loss_dfl: 0.195031 loss: 1.237112 eta: 1 day, 6:42:05 batch_cost: 2.2141 data_cost: 0.0013 ips: 25.2925 images/s [10/22 04:20:12] ppdet.engine INFO: Epoch: [119] [140/261] learning_rate: 0.197045 loss_vfl: 0.736355 loss_bbox: 0.289303 loss_dfl: 0.191786 loss: 1.205661 eta: 1 day, 6:41:21 batch_cost: 2.4590 data_cost: 0.0013 ips: 22.7735 images/s [10/22 04:21:02] ppdet.engine INFO: Epoch: [119] [160/261] learning_rate: 0.196930 loss_vfl: 0.748671 loss_bbox: 0.287322 loss_dfl: 0.191209 loss: 1.195762 eta: 1 day, 6:40:35 batch_cost: 2.3534 data_cost: 0.0076 ips: 23.7953 images/s [10/22 04:21:51] ppdet.engine INFO: Epoch: [119] [180/261] learning_rate: 0.196816 loss_vfl: 0.739283 loss_bbox: 0.267018 loss_dfl: 0.180267 loss: 1.181219 eta: 1 day, 6:39:47 batch_cost: 2.3098 data_cost: 0.0013 ips: 24.2441 images/s [10/22 04:22:41] ppdet.engine INFO: Epoch: [119] [200/261] learning_rate: 0.196702 loss_vfl: 0.729523 loss_bbox: 0.267057 loss_dfl: 0.182506 loss: 1.179057 eta: 1 day, 6:39:00 batch_cost: 2.3657 data_cost: 0.0013 ips: 23.6714 images/s [10/22 04:23:29] ppdet.engine INFO: Epoch: [119] [220/261] learning_rate: 0.196587 loss_vfl: 0.744520 loss_bbox: 0.279970 loss_dfl: 0.191464 loss: 1.207933 eta: 1 day, 6:38:11 batch_cost: 2.2665 data_cost: 0.0014 ips: 24.7082 images/s [10/22 04:24:18] ppdet.engine INFO: Epoch: [119] [240/261] learning_rate: 0.196473 loss_vfl: 0.741729 loss_bbox: 0.294171 loss_dfl: 0.186842 loss: 1.230669 eta: 1 day, 6:37:22 batch_cost: 2.2687 data_cost: 0.0013 ips: 24.6839 images/s [10/22 04:24:58] ppdet.engine INFO: Epoch: [119] [260/261] learning_rate: 0.196358 loss_vfl: 0.744447 loss_bbox: 0.289637 loss_dfl: 0.194749 loss: 1.234006 eta: 1 day, 6:36:22 batch_cost: 1.9122 data_cost: 0.0013 ips: 29.2850 images/s [10/22 04:25:04] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 04:25:04] ppdet.engine INFO: Eval iter: 0 [10/22 04:25:34] ppdet.engine INFO: Eval iter: 100 [10/22 04:25:52] ppdet.engine INFO: Eval iter: 200 [10/22 04:26:09] ppdet.engine INFO: Eval iter: 300 [10/22 04:26:28] ppdet.engine INFO: Eval iter: 400 [10/22 04:26:46] ppdet.engine INFO: Eval iter: 500 [10/22 04:27:05] ppdet.engine INFO: Eval iter: 600 [10/22 04:27:20] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.93s) creating index... index created! [10/22 04:27:21] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.84s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=71.07s). Accumulating evaluation results... DONE (t=12.32s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.356 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.520 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.373 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.147 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.387 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.560 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.301 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.473 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.504 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.232 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.571 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.732 [10/22 04:28:51] ppdet.engine INFO: Total sample number: 4952, averge FPS: 39.32734642259445 [10/22 04:28:51] ppdet.engine INFO: Best test bbox ap is 0.356. [10/22 04:28:51] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 04:28:55] ppdet.engine INFO: Epoch: [120] [ 0/261] learning_rate: 0.196353 loss_vfl: 0.750836 loss_bbox: 0.279492 loss_dfl: 0.194749 loss: 1.234006 eta: 1 day, 6:36:22 batch_cost: 2.0164 data_cost: 0.0014 ips: 27.7722 images/s [10/22 04:29:51] ppdet.engine INFO: Epoch: [120] [ 20/261] learning_rate: 0.196238 loss_vfl: 0.737531 loss_bbox: 0.305393 loss_dfl: 0.198024 loss: 1.242018 eta: 1 day, 6:35:42 batch_cost: 2.5932 data_cost: 0.0016 ips: 21.5947 images/s [10/22 04:30:44] ppdet.engine INFO: Epoch: [120] [ 40/261] learning_rate: 0.196124 loss_vfl: 0.739917 loss_bbox: 0.272902 loss_dfl: 0.184676 loss: 1.191695 eta: 1 day, 6:34:58 batch_cost: 2.4491 data_cost: 0.0013 ips: 22.8653 images/s [10/22 04:31:32] ppdet.engine INFO: Epoch: [120] [ 60/261] learning_rate: 0.196009 loss_vfl: 0.726032 loss_bbox: 0.284432 loss_dfl: 0.183869 loss: 1.221073 eta: 1 day, 6:34:08 batch_cost: 2.2475 data_cost: 0.0012 ips: 24.9167 images/s [10/22 04:32:21] ppdet.engine INFO: Epoch: [120] [ 80/261] learning_rate: 0.195894 loss_vfl: 0.726191 loss_bbox: 0.289735 loss_dfl: 0.194729 loss: 1.219979 eta: 1 day, 6:33:20 batch_cost: 2.2795 data_cost: 0.0013 ips: 24.5670 images/s [10/22 04:33:08] ppdet.engine INFO: Epoch: [120] [100/261] learning_rate: 0.195780 loss_vfl: 0.733990 loss_bbox: 0.281086 loss_dfl: 0.187326 loss: 1.199493 eta: 1 day, 6:32:29 batch_cost: 2.2163 data_cost: 0.0013 ips: 25.2673 images/s [10/22 04:33:57] ppdet.engine INFO: Epoch: [120] [120/261] learning_rate: 0.195665 loss_vfl: 0.743126 loss_bbox: 0.268310 loss_dfl: 0.179225 loss: 1.201513 eta: 1 day, 6:31:42 batch_cost: 2.3354 data_cost: 0.0013 ips: 23.9790 images/s [10/22 04:34:45] ppdet.engine INFO: Epoch: [120] [140/261] learning_rate: 0.195550 loss_vfl: 0.743059 loss_bbox: 0.260250 loss_dfl: 0.176425 loss: 1.191944 eta: 1 day, 6:30:52 batch_cost: 2.2561 data_cost: 0.0014 ips: 24.8219 images/s [10/22 04:35:34] ppdet.engine INFO: Epoch: [120] [160/261] learning_rate: 0.195436 loss_vfl: 0.737169 loss_bbox: 0.265351 loss_dfl: 0.186768 loss: 1.193851 eta: 1 day, 6:30:05 batch_cost: 2.3299 data_cost: 0.0014 ips: 24.0356 images/s [10/22 04:36:23] ppdet.engine INFO: Epoch: [120] [180/261] learning_rate: 0.195321 loss_vfl: 0.733465 loss_bbox: 0.272599 loss_dfl: 0.185457 loss: 1.203067 eta: 1 day, 6:29:15 batch_cost: 2.2643 data_cost: 0.0013 ips: 24.7315 images/s [10/22 04:37:11] ppdet.engine INFO: Epoch: [120] [200/261] learning_rate: 0.195206 loss_vfl: 0.731886 loss_bbox: 0.265533 loss_dfl: 0.184801 loss: 1.181945 eta: 1 day, 6:28:27 batch_cost: 2.2931 data_cost: 0.0013 ips: 24.4208 images/s [10/22 04:37:59] ppdet.engine INFO: Epoch: [120] [220/261] learning_rate: 0.195092 loss_vfl: 0.756929 loss_bbox: 0.272244 loss_dfl: 0.189615 loss: 1.220890 eta: 1 day, 6:27:37 batch_cost: 2.2597 data_cost: 0.0013 ips: 24.7824 images/s [10/22 04:38:48] ppdet.engine INFO: Epoch: [120] [240/261] learning_rate: 0.194977 loss_vfl: 0.750352 loss_bbox: 0.252468 loss_dfl: 0.179211 loss: 1.183357 eta: 1 day, 6:26:49 batch_cost: 2.2868 data_cost: 0.0013 ips: 24.4880 images/s [10/22 04:39:30] ppdet.engine INFO: Epoch: [120] [260/261] learning_rate: 0.194862 loss_vfl: 0.751157 loss_bbox: 0.283005 loss_dfl: 0.192120 loss: 1.224758 eta: 1 day, 6:25:50 batch_cost: 1.9493 data_cost: 0.0013 ips: 28.7288 images/s [10/22 04:39:51] ppdet.engine INFO: Epoch: [121] [ 0/261] learning_rate: 0.194856 loss_vfl: 0.751704 loss_bbox: 0.283005 loss_dfl: 0.189985 loss: 1.224758 eta: 1 day, 6:26:08 batch_cost: 2.6280 data_cost: 0.2482 ips: 21.3092 images/s [10/22 04:40:48] ppdet.engine INFO: Epoch: [121] [ 20/261] learning_rate: 0.194741 loss_vfl: 0.725652 loss_bbox: 0.271502 loss_dfl: 0.185035 loss: 1.153938 eta: 1 day, 6:25:30 batch_cost: 2.6675 data_cost: 0.0013 ips: 20.9935 images/s [10/22 04:41:36] ppdet.engine INFO: Epoch: [121] [ 40/261] learning_rate: 0.194626 loss_vfl: 0.733662 loss_bbox: 0.265055 loss_dfl: 0.181493 loss: 1.180678 eta: 1 day, 6:24:41 batch_cost: 2.2746 data_cost: 0.0015 ips: 24.6194 images/s [10/22 04:42:25] ppdet.engine INFO: Epoch: [121] [ 60/261] learning_rate: 0.194511 loss_vfl: 0.733266 loss_bbox: 0.284843 loss_dfl: 0.179481 loss: 1.200844 eta: 1 day, 6:23:52 batch_cost: 2.2658 data_cost: 0.0013 ips: 24.7150 images/s [10/22 04:43:12] ppdet.engine INFO: Epoch: [121] [ 80/261] learning_rate: 0.194396 loss_vfl: 0.748282 loss_bbox: 0.291699 loss_dfl: 0.200241 loss: 1.238811 eta: 1 day, 6:23:01 batch_cost: 2.1967 data_cost: 0.0083 ips: 25.4925 images/s [10/22 04:44:01] ppdet.engine INFO: Epoch: [121] [100/261] learning_rate: 0.194281 loss_vfl: 0.751256 loss_bbox: 0.277695 loss_dfl: 0.179415 loss: 1.206026 eta: 1 day, 6:22:12 batch_cost: 2.2681 data_cost: 0.0014 ips: 24.6906 images/s [10/22 04:44:48] ppdet.engine INFO: Epoch: [121] [120/261] learning_rate: 0.194166 loss_vfl: 0.732348 loss_bbox: 0.287297 loss_dfl: 0.189036 loss: 1.213124 eta: 1 day, 6:21:20 batch_cost: 2.1880 data_cost: 0.0014 ips: 25.5940 images/s [10/22 04:45:36] ppdet.engine INFO: Epoch: [121] [140/261] learning_rate: 0.194051 loss_vfl: 0.743260 loss_bbox: 0.276692 loss_dfl: 0.181315 loss: 1.189635 eta: 1 day, 6:20:32 batch_cost: 2.3112 data_cost: 0.0014 ips: 24.2303 images/s [10/22 04:46:26] ppdet.engine INFO: Epoch: [121] [160/261] learning_rate: 0.193936 loss_vfl: 0.745665 loss_bbox: 0.259228 loss_dfl: 0.174760 loss: 1.165839 eta: 1 day, 6:19:47 batch_cost: 2.3947 data_cost: 0.0014 ips: 23.3849 images/s [10/22 04:47:15] ppdet.engine INFO: Epoch: [121] [180/261] learning_rate: 0.193821 loss_vfl: 0.741418 loss_bbox: 0.254868 loss_dfl: 0.176040 loss: 1.175570 eta: 1 day, 6:18:59 batch_cost: 2.3109 data_cost: 0.0014 ips: 24.2329 images/s [10/22 04:48:03] ppdet.engine INFO: Epoch: [121] [200/261] learning_rate: 0.193706 loss_vfl: 0.740886 loss_bbox: 0.270447 loss_dfl: 0.181429 loss: 1.189447 eta: 1 day, 6:18:09 batch_cost: 2.2386 data_cost: 0.0014 ips: 25.0158 images/s [10/22 04:48:52] ppdet.engine INFO: Epoch: [121] [220/261] learning_rate: 0.193591 loss_vfl: 0.746338 loss_bbox: 0.268355 loss_dfl: 0.183007 loss: 1.185003 eta: 1 day, 6:17:21 batch_cost: 2.3019 data_cost: 0.0013 ips: 24.3280 images/s [10/22 04:49:41] ppdet.engine INFO: Epoch: [121] [240/261] learning_rate: 0.193476 loss_vfl: 0.745012 loss_bbox: 0.265240 loss_dfl: 0.181721 loss: 1.197292 eta: 1 day, 6:16:33 batch_cost: 2.3053 data_cost: 0.0013 ips: 24.2915 images/s [10/22 04:50:24] ppdet.engine INFO: Epoch: [121] [260/261] learning_rate: 0.193361 loss_vfl: 0.745809 loss_bbox: 0.268617 loss_dfl: 0.186453 loss: 1.196419 eta: 1 day, 6:15:37 batch_cost: 2.0493 data_cost: 0.0013 ips: 27.3271 images/s [10/22 04:50:48] ppdet.engine INFO: Epoch: [122] [ 0/261] learning_rate: 0.193355 loss_vfl: 0.739634 loss_bbox: 0.270261 loss_dfl: 0.188268 loss: 1.172637 eta: 1 day, 6:15:57 batch_cost: 2.8016 data_cost: 0.4839 ips: 19.9882 images/s [10/22 04:51:39] ppdet.engine INFO: Epoch: [122] [ 20/261] learning_rate: 0.193240 loss_vfl: 0.744044 loss_bbox: 0.282327 loss_dfl: 0.187185 loss: 1.207046 eta: 1 day, 6:15:14 batch_cost: 2.4615 data_cost: 0.0013 ips: 22.7503 images/s [10/22 04:52:30] ppdet.engine INFO: Epoch: [122] [ 40/261] learning_rate: 0.193124 loss_vfl: 0.720651 loss_bbox: 0.280871 loss_dfl: 0.189799 loss: 1.197701 eta: 1 day, 6:14:29 batch_cost: 2.4312 data_cost: 0.0014 ips: 23.0336 images/s [10/22 04:53:21] ppdet.engine INFO: Epoch: [122] [ 60/261] learning_rate: 0.193009 loss_vfl: 0.737813 loss_bbox: 0.280886 loss_dfl: 0.185444 loss: 1.205363 eta: 1 day, 6:13:44 batch_cost: 2.3903 data_cost: 0.0013 ips: 23.4278 images/s [10/22 04:54:09] ppdet.engine INFO: Epoch: [122] [ 80/261] learning_rate: 0.192894 loss_vfl: 0.739860 loss_bbox: 0.295081 loss_dfl: 0.185729 loss: 1.223534 eta: 1 day, 6:12:54 batch_cost: 2.2550 data_cost: 0.0013 ips: 24.8336 images/s [10/22 04:55:00] ppdet.engine INFO: Epoch: [122] [100/261] learning_rate: 0.192778 loss_vfl: 0.744068 loss_bbox: 0.279400 loss_dfl: 0.188092 loss: 1.205958 eta: 1 day, 6:12:10 batch_cost: 2.4339 data_cost: 0.0013 ips: 23.0083 images/s [10/22 04:55:48] ppdet.engine INFO: Epoch: [122] [120/261] learning_rate: 0.192663 loss_vfl: 0.741763 loss_bbox: 0.275112 loss_dfl: 0.186396 loss: 1.192420 eta: 1 day, 6:11:21 batch_cost: 2.2807 data_cost: 0.0013 ips: 24.5543 images/s [10/22 04:56:38] ppdet.engine INFO: Epoch: [122] [140/261] learning_rate: 0.192547 loss_vfl: 0.731877 loss_bbox: 0.276035 loss_dfl: 0.180022 loss: 1.218976 eta: 1 day, 6:10:34 batch_cost: 2.3438 data_cost: 0.0013 ips: 23.8926 images/s [10/22 04:57:25] ppdet.engine INFO: Epoch: [122] [160/261] learning_rate: 0.192432 loss_vfl: 0.749665 loss_bbox: 0.279226 loss_dfl: 0.182155 loss: 1.196797 eta: 1 day, 6:09:44 batch_cost: 2.2538 data_cost: 0.0013 ips: 24.8468 images/s [10/22 04:58:15] ppdet.engine INFO: Epoch: [122] [180/261] learning_rate: 0.192317 loss_vfl: 0.738214 loss_bbox: 0.271385 loss_dfl: 0.182266 loss: 1.182810 eta: 1 day, 6:08:58 batch_cost: 2.3561 data_cost: 0.0014 ips: 23.7682 images/s [10/22 04:59:04] ppdet.engine INFO: Epoch: [122] [200/261] learning_rate: 0.192201 loss_vfl: 0.749005 loss_bbox: 0.300118 loss_dfl: 0.192916 loss: 1.240642 eta: 1 day, 6:08:10 batch_cost: 2.3189 data_cost: 0.0013 ips: 24.1492 images/s [10/22 04:59:52] ppdet.engine INFO: Epoch: [122] [220/261] learning_rate: 0.192086 loss_vfl: 0.736133 loss_bbox: 0.271188 loss_dfl: 0.184147 loss: 1.178557 eta: 1 day, 6:07:22 batch_cost: 2.2990 data_cost: 0.0014 ips: 24.3588 images/s [10/22 05:00:40] ppdet.engine INFO: Epoch: [122] [240/261] learning_rate: 0.191970 loss_vfl: 0.751821 loss_bbox: 0.285601 loss_dfl: 0.188131 loss: 1.228669 eta: 1 day, 6:06:31 batch_cost: 2.2234 data_cost: 0.0013 ips: 25.1872 images/s [10/22 05:01:24] ppdet.engine INFO: Epoch: [122] [260/261] learning_rate: 0.191854 loss_vfl: 0.753266 loss_bbox: 0.275612 loss_dfl: 0.184463 loss: 1.211128 eta: 1 day, 6:05:36 batch_cost: 2.0602 data_cost: 0.0012 ips: 27.1823 images/s [10/22 05:01:49] ppdet.engine INFO: Epoch: [123] [ 0/261] learning_rate: 0.191849 loss_vfl: 0.749756 loss_bbox: 0.278246 loss_dfl: 0.184667 loss: 1.212213 eta: 1 day, 6:05:57 batch_cost: 2.8213 data_cost: 0.4823 ips: 19.8492 images/s [10/22 05:02:43] ppdet.engine INFO: Epoch: [123] [ 20/261] learning_rate: 0.191733 loss_vfl: 0.742245 loss_bbox: 0.251959 loss_dfl: 0.177964 loss: 1.181316 eta: 1 day, 6:05:17 batch_cost: 2.5807 data_cost: 0.0013 ips: 21.6995 images/s [10/22 05:03:33] ppdet.engine INFO: Epoch: [123] [ 40/261] learning_rate: 0.191617 loss_vfl: 0.732997 loss_bbox: 0.263301 loss_dfl: 0.184265 loss: 1.197690 eta: 1 day, 6:04:29 batch_cost: 2.3141 data_cost: 0.0013 ips: 24.1998 images/s [10/22 05:04:21] ppdet.engine INFO: Epoch: [123] [ 60/261] learning_rate: 0.191502 loss_vfl: 0.745946 loss_bbox: 0.262066 loss_dfl: 0.177724 loss: 1.189810 eta: 1 day, 6:03:39 batch_cost: 2.2416 data_cost: 0.0013 ips: 24.9822 images/s [10/22 05:05:12] ppdet.engine INFO: Epoch: [123] [ 80/261] learning_rate: 0.191386 loss_vfl: 0.744030 loss_bbox: 0.281634 loss_dfl: 0.189578 loss: 1.204610 eta: 1 day, 6:02:54 batch_cost: 2.3877 data_cost: 0.0013 ips: 23.4533 images/s [10/22 05:06:01] ppdet.engine INFO: Epoch: [123] [100/261] learning_rate: 0.191270 loss_vfl: 0.750766 loss_bbox: 0.265148 loss_dfl: 0.179693 loss: 1.193755 eta: 1 day, 6:02:07 batch_cost: 2.3416 data_cost: 0.0013 ips: 23.9156 images/s [10/22 05:06:50] ppdet.engine INFO: Epoch: [123] [120/261] learning_rate: 0.191155 loss_vfl: 0.742817 loss_bbox: 0.272615 loss_dfl: 0.181419 loss: 1.223589 eta: 1 day, 6:01:17 batch_cost: 2.2337 data_cost: 0.0013 ips: 25.0701 images/s [10/22 05:07:40] ppdet.engine INFO: Epoch: [123] [140/261] learning_rate: 0.191039 loss_vfl: 0.731700 loss_bbox: 0.270219 loss_dfl: 0.186674 loss: 1.205267 eta: 1 day, 6:00:29 batch_cost: 2.3377 data_cost: 0.0013 ips: 23.9550 images/s [10/22 05:08:32] ppdet.engine INFO: Epoch: [123] [160/261] learning_rate: 0.190923 loss_vfl: 0.740490 loss_bbox: 0.294038 loss_dfl: 0.198234 loss: 1.233887 eta: 1 day, 5:59:46 batch_cost: 2.4732 data_cost: 0.0012 ips: 22.6428 images/s [10/22 05:09:20] ppdet.engine INFO: Epoch: [123] [180/261] learning_rate: 0.190807 loss_vfl: 0.752168 loss_bbox: 0.271421 loss_dfl: 0.184422 loss: 1.197960 eta: 1 day, 5:58:57 batch_cost: 2.2505 data_cost: 0.0014 ips: 24.8832 images/s [10/22 05:10:08] ppdet.engine INFO: Epoch: [123] [200/261] learning_rate: 0.190691 loss_vfl: 0.752622 loss_bbox: 0.293353 loss_dfl: 0.193320 loss: 1.222522 eta: 1 day, 5:58:08 batch_cost: 2.2835 data_cost: 0.0013 ips: 24.5233 images/s [10/22 05:10:55] ppdet.engine INFO: Epoch: [123] [220/261] learning_rate: 0.190576 loss_vfl: 0.739489 loss_bbox: 0.306121 loss_dfl: 0.199158 loss: 1.253640 eta: 1 day, 5:57:16 batch_cost: 2.1732 data_cost: 0.0014 ips: 25.7686 images/s [10/22 05:11:42] ppdet.engine INFO: Epoch: [123] [240/261] learning_rate: 0.190460 loss_vfl: 0.740803 loss_bbox: 0.304391 loss_dfl: 0.205184 loss: 1.220608 eta: 1 day, 5:56:26 batch_cost: 2.2327 data_cost: 0.0014 ips: 25.0812 images/s [10/22 05:12:27] ppdet.engine INFO: Epoch: [123] [260/261] learning_rate: 0.190344 loss_vfl: 0.737223 loss_bbox: 0.269563 loss_dfl: 0.184021 loss: 1.192728 eta: 1 day, 5:55:32 batch_cost: 2.1059 data_cost: 0.0013 ips: 26.5920 images/s [10/22 05:12:50] ppdet.engine INFO: Epoch: [124] [ 0/261] learning_rate: 0.190338 loss_vfl: 0.739083 loss_bbox: 0.267527 loss_dfl: 0.181579 loss: 1.192466 eta: 1 day, 5:55:51 batch_cost: 2.8534 data_cost: 0.4936 ips: 19.6256 images/s [10/22 05:13:42] ppdet.engine INFO: Epoch: [124] [ 20/261] learning_rate: 0.190222 loss_vfl: 0.743758 loss_bbox: 0.282619 loss_dfl: 0.186600 loss: 1.230127 eta: 1 day, 5:55:06 batch_cost: 2.4046 data_cost: 0.0012 ips: 23.2884 images/s [10/22 05:14:29] ppdet.engine INFO: Epoch: [124] [ 40/261] learning_rate: 0.190106 loss_vfl: 0.741918 loss_bbox: 0.292403 loss_dfl: 0.192259 loss: 1.217704 eta: 1 day, 5:54:15 batch_cost: 2.1857 data_cost: 0.0013 ips: 25.6212 images/s [10/22 05:15:21] ppdet.engine INFO: Epoch: [124] [ 60/261] learning_rate: 0.189990 loss_vfl: 0.725558 loss_bbox: 0.264909 loss_dfl: 0.184204 loss: 1.187465 eta: 1 day, 5:53:30 batch_cost: 2.4403 data_cost: 0.0013 ips: 22.9480 images/s [10/22 05:16:08] ppdet.engine INFO: Epoch: [124] [ 80/261] learning_rate: 0.189874 loss_vfl: 0.740319 loss_bbox: 0.273947 loss_dfl: 0.181954 loss: 1.198456 eta: 1 day, 5:52:41 batch_cost: 2.2381 data_cost: 0.0013 ips: 25.0210 images/s [10/22 05:16:55] ppdet.engine INFO: Epoch: [124] [100/261] learning_rate: 0.189758 loss_vfl: 0.735795 loss_bbox: 0.293545 loss_dfl: 0.193135 loss: 1.208032 eta: 1 day, 5:51:52 batch_cost: 2.2753 data_cost: 0.0014 ips: 24.6117 images/s [10/22 05:17:44] ppdet.engine INFO: Epoch: [124] [120/261] learning_rate: 0.189642 loss_vfl: 0.740304 loss_bbox: 0.266117 loss_dfl: 0.175047 loss: 1.178646 eta: 1 day, 5:51:03 batch_cost: 2.2824 data_cost: 0.0013 ips: 24.5357 images/s [10/22 05:18:31] ppdet.engine INFO: Epoch: [124] [140/261] learning_rate: 0.189526 loss_vfl: 0.746666 loss_bbox: 0.274514 loss_dfl: 0.179823 loss: 1.198128 eta: 1 day, 5:50:13 batch_cost: 2.2371 data_cost: 0.0013 ips: 25.0326 images/s [10/22 05:19:21] ppdet.engine INFO: Epoch: [124] [160/261] learning_rate: 0.189410 loss_vfl: 0.747415 loss_bbox: 0.275872 loss_dfl: 0.183894 loss: 1.218249 eta: 1 day, 5:49:27 batch_cost: 2.3682 data_cost: 0.0014 ips: 23.6462 images/s [10/22 05:20:10] ppdet.engine INFO: Epoch: [124] [180/261] learning_rate: 0.189294 loss_vfl: 0.744506 loss_bbox: 0.271625 loss_dfl: 0.185908 loss: 1.216481 eta: 1 day, 5:48:38 batch_cost: 2.2753 data_cost: 0.0013 ips: 24.6122 images/s [10/22 05:21:00] ppdet.engine INFO: Epoch: [124] [200/261] learning_rate: 0.189177 loss_vfl: 0.746772 loss_bbox: 0.296786 loss_dfl: 0.196181 loss: 1.236804 eta: 1 day, 5:47:50 batch_cost: 2.3279 data_cost: 0.0014 ips: 24.0556 images/s [10/22 05:21:47] ppdet.engine INFO: Epoch: [124] [220/261] learning_rate: 0.189061 loss_vfl: 0.726798 loss_bbox: 0.278849 loss_dfl: 0.191140 loss: 1.187572 eta: 1 day, 5:47:00 batch_cost: 2.2318 data_cost: 0.0013 ips: 25.0922 images/s [10/22 05:22:36] ppdet.engine INFO: Epoch: [124] [240/261] learning_rate: 0.188945 loss_vfl: 0.728989 loss_bbox: 0.283182 loss_dfl: 0.183107 loss: 1.196163 eta: 1 day, 5:46:12 batch_cost: 2.2854 data_cost: 0.0014 ips: 24.5039 images/s [10/22 05:23:18] ppdet.engine INFO: Epoch: [124] [260/261] learning_rate: 0.188829 loss_vfl: 0.739121 loss_bbox: 0.300704 loss_dfl: 0.191274 loss: 1.230077 eta: 1 day, 5:45:12 batch_cost: 1.8878 data_cost: 0.0013 ips: 29.6649 images/s [10/22 05:23:40] ppdet.engine INFO: Epoch: [125] [ 0/261] learning_rate: 0.188823 loss_vfl: 0.739121 loss_bbox: 0.295576 loss_dfl: 0.190777 loss: 1.230077 eta: 1 day, 5:45:29 batch_cost: 2.5966 data_cost: 0.2592 ips: 21.5665 images/s [10/22 05:24:38] ppdet.engine INFO: Epoch: [125] [ 20/261] learning_rate: 0.188707 loss_vfl: 0.739285 loss_bbox: 0.267454 loss_dfl: 0.183912 loss: 1.211313 eta: 1 day, 5:44:56 batch_cost: 2.8145 data_cost: 0.0013 ips: 19.8971 images/s [10/22 05:25:28] ppdet.engine INFO: Epoch: [125] [ 40/261] learning_rate: 0.188590 loss_vfl: 0.752685 loss_bbox: 0.276747 loss_dfl: 0.185363 loss: 1.208460 eta: 1 day, 5:44:10 batch_cost: 2.3955 data_cost: 0.0014 ips: 23.3769 images/s [10/22 05:26:16] ppdet.engine INFO: Epoch: [125] [ 60/261] learning_rate: 0.188474 loss_vfl: 0.754697 loss_bbox: 0.269513 loss_dfl: 0.187373 loss: 1.199292 eta: 1 day, 5:43:20 batch_cost: 2.2365 data_cost: 0.0013 ips: 25.0387 images/s [10/22 05:27:06] ppdet.engine INFO: Epoch: [125] [ 80/261] learning_rate: 0.188358 loss_vfl: 0.735715 loss_bbox: 0.268604 loss_dfl: 0.188919 loss: 1.194273 eta: 1 day, 5:42:33 batch_cost: 2.3490 data_cost: 0.0013 ips: 23.8396 images/s [10/22 05:27:54] ppdet.engine INFO: Epoch: [125] [100/261] learning_rate: 0.188241 loss_vfl: 0.745579 loss_bbox: 0.282917 loss_dfl: 0.186491 loss: 1.218538 eta: 1 day, 5:41:44 batch_cost: 2.2463 data_cost: 0.0013 ips: 24.9303 images/s [10/22 05:28:42] ppdet.engine INFO: Epoch: [125] [120/261] learning_rate: 0.188125 loss_vfl: 0.731479 loss_bbox: 0.301012 loss_dfl: 0.189767 loss: 1.205846 eta: 1 day, 5:40:54 batch_cost: 2.2617 data_cost: 0.0014 ips: 24.7603 images/s [10/22 05:29:31] ppdet.engine INFO: Epoch: [125] [140/261] learning_rate: 0.188008 loss_vfl: 0.734415 loss_bbox: 0.290344 loss_dfl: 0.193139 loss: 1.209039 eta: 1 day, 5:40:06 batch_cost: 2.2867 data_cost: 0.0014 ips: 24.4897 images/s [10/22 05:30:20] ppdet.engine INFO: Epoch: [125] [160/261] learning_rate: 0.187892 loss_vfl: 0.742856 loss_bbox: 0.273031 loss_dfl: 0.176890 loss: 1.178423 eta: 1 day, 5:39:18 batch_cost: 2.3052 data_cost: 0.0013 ips: 24.2928 images/s [10/22 05:31:11] ppdet.engine INFO: Epoch: [125] [180/261] learning_rate: 0.187775 loss_vfl: 0.724782 loss_bbox: 0.270650 loss_dfl: 0.186000 loss: 1.177080 eta: 1 day, 5:38:32 batch_cost: 2.3925 data_cost: 0.0013 ips: 23.4069 images/s [10/22 05:32:01] ppdet.engine INFO: Epoch: [125] [200/261] learning_rate: 0.187659 loss_vfl: 0.739154 loss_bbox: 0.277230 loss_dfl: 0.189199 loss: 1.184176 eta: 1 day, 5:37:45 batch_cost: 2.3439 data_cost: 0.0013 ips: 23.8919 images/s [10/22 05:32:46] ppdet.engine INFO: Epoch: [125] [220/261] learning_rate: 0.187542 loss_vfl: 0.749818 loss_bbox: 0.281845 loss_dfl: 0.189411 loss: 1.224189 eta: 1 day, 5:36:51 batch_cost: 2.0982 data_cost: 0.0013 ips: 26.6900 images/s [10/22 05:33:36] ppdet.engine INFO: Epoch: [125] [240/261] learning_rate: 0.187426 loss_vfl: 0.733838 loss_bbox: 0.289871 loss_dfl: 0.194749 loss: 1.218222 eta: 1 day, 5:36:04 batch_cost: 2.3206 data_cost: 0.0013 ips: 24.1318 images/s [10/22 05:34:20] ppdet.engine INFO: Epoch: [125] [260/261] learning_rate: 0.187309 loss_vfl: 0.737137 loss_bbox: 0.268053 loss_dfl: 0.179036 loss: 1.186968 eta: 1 day, 5:35:09 batch_cost: 2.0723 data_cost: 0.0013 ips: 27.0228 images/s [10/22 05:34:43] ppdet.engine INFO: Epoch: [126] [ 0/261] learning_rate: 0.187303 loss_vfl: 0.731797 loss_bbox: 0.269750 loss_dfl: 0.180273 loss: 1.182239 eta: 1 day, 5:35:27 batch_cost: 2.8143 data_cost: 0.2582 ips: 19.8981 images/s [10/22 05:35:38] ppdet.engine INFO: Epoch: [126] [ 20/261] learning_rate: 0.187187 loss_vfl: 0.737042 loss_bbox: 0.304380 loss_dfl: 0.199180 loss: 1.264466 eta: 1 day, 5:34:47 batch_cost: 2.5917 data_cost: 0.0014 ips: 21.6077 images/s [10/22 05:36:28] ppdet.engine INFO: Epoch: [126] [ 40/261] learning_rate: 0.187070 loss_vfl: 0.731164 loss_bbox: 0.275512 loss_dfl: 0.185507 loss: 1.195403 eta: 1 day, 5:33:59 batch_cost: 2.3356 data_cost: 0.0013 ips: 23.9765 images/s [10/22 05:37:17] ppdet.engine INFO: Epoch: [126] [ 60/261] learning_rate: 0.186954 loss_vfl: 0.745687 loss_bbox: 0.272041 loss_dfl: 0.183719 loss: 1.194055 eta: 1 day, 5:33:12 batch_cost: 2.3426 data_cost: 0.0013 ips: 23.9046 images/s [10/22 05:38:06] ppdet.engine INFO: Epoch: [126] [ 80/261] learning_rate: 0.186837 loss_vfl: 0.723666 loss_bbox: 0.280673 loss_dfl: 0.186975 loss: 1.179555 eta: 1 day, 5:32:24 batch_cost: 2.3059 data_cost: 0.0013 ips: 24.2858 images/s [10/22 05:38:54] ppdet.engine INFO: Epoch: [126] [100/261] learning_rate: 0.186720 loss_vfl: 0.744241 loss_bbox: 0.289259 loss_dfl: 0.187585 loss: 1.207293 eta: 1 day, 5:31:34 batch_cost: 2.2400 data_cost: 0.0013 ips: 25.0000 images/s [10/22 05:39:42] ppdet.engine INFO: Epoch: [126] [120/261] learning_rate: 0.186604 loss_vfl: 0.733343 loss_bbox: 0.273412 loss_dfl: 0.181457 loss: 1.190205 eta: 1 day, 5:30:44 batch_cost: 2.2041 data_cost: 0.0013 ips: 25.4067 images/s [10/22 05:40:27] ppdet.engine INFO: Epoch: [126] [140/261] learning_rate: 0.186487 loss_vfl: 0.726375 loss_bbox: 0.278925 loss_dfl: 0.191299 loss: 1.203868 eta: 1 day, 5:29:50 batch_cost: 2.0982 data_cost: 0.0014 ips: 26.6893 images/s [10/22 05:41:17] ppdet.engine INFO: Epoch: [126] [160/261] learning_rate: 0.186370 loss_vfl: 0.738678 loss_bbox: 0.266796 loss_dfl: 0.183862 loss: 1.190218 eta: 1 day, 5:29:03 batch_cost: 2.3472 data_cost: 0.0014 ips: 23.8583 images/s [10/22 05:42:05] ppdet.engine INFO: Epoch: [126] [180/261] learning_rate: 0.186253 loss_vfl: 0.746392 loss_bbox: 0.281578 loss_dfl: 0.183823 loss: 1.209608 eta: 1 day, 5:28:14 batch_cost: 2.2668 data_cost: 0.0015 ips: 24.7044 images/s [10/22 05:42:52] ppdet.engine INFO: Epoch: [126] [200/261] learning_rate: 0.186136 loss_vfl: 0.744778 loss_bbox: 0.277020 loss_dfl: 0.188067 loss: 1.201764 eta: 1 day, 5:27:22 batch_cost: 2.1517 data_cost: 0.0013 ips: 26.0258 images/s [10/22 05:43:39] ppdet.engine INFO: Epoch: [126] [220/261] learning_rate: 0.186020 loss_vfl: 0.739184 loss_bbox: 0.273517 loss_dfl: 0.181224 loss: 1.202412 eta: 1 day, 5:26:32 batch_cost: 2.2264 data_cost: 0.0013 ips: 25.1526 images/s [10/22 05:44:28] ppdet.engine INFO: Epoch: [126] [240/261] learning_rate: 0.185903 loss_vfl: 0.727840 loss_bbox: 0.276625 loss_dfl: 0.185385 loss: 1.188704 eta: 1 day, 5:25:43 batch_cost: 2.2969 data_cost: 0.0014 ips: 24.3803 images/s [10/22 05:45:11] ppdet.engine INFO: Epoch: [126] [260/261] learning_rate: 0.185786 loss_vfl: 0.748952 loss_bbox: 0.260267 loss_dfl: 0.186209 loss: 1.203073 eta: 1 day, 5:24:48 batch_cost: 2.0397 data_cost: 0.0013 ips: 27.4554 images/s [10/22 05:45:31] ppdet.engine INFO: Epoch: [127] [ 0/261] learning_rate: 0.185780 loss_vfl: 0.753033 loss_bbox: 0.261758 loss_dfl: 0.186699 loss: 1.207913 eta: 1 day, 5:25:02 batch_cost: 2.6716 data_cost: 0.4184 ips: 20.9609 images/s [10/22 05:46:26] ppdet.engine INFO: Epoch: [127] [ 20/261] learning_rate: 0.185663 loss_vfl: 0.736470 loss_bbox: 0.269337 loss_dfl: 0.182602 loss: 1.207476 eta: 1 day, 5:24:21 batch_cost: 2.5514 data_cost: 0.0013 ips: 21.9488 images/s [10/22 05:47:13] ppdet.engine INFO: Epoch: [127] [ 40/261] learning_rate: 0.185546 loss_vfl: 0.733593 loss_bbox: 0.265735 loss_dfl: 0.183839 loss: 1.186387 eta: 1 day, 5:23:32 batch_cost: 2.2604 data_cost: 0.0013 ips: 24.7746 images/s [10/22 05:48:00] ppdet.engine INFO: Epoch: [127] [ 60/261] learning_rate: 0.185429 loss_vfl: 0.718350 loss_bbox: 0.299591 loss_dfl: 0.196807 loss: 1.235065 eta: 1 day, 5:22:40 batch_cost: 2.1700 data_cost: 0.0012 ips: 25.8059 images/s [10/22 05:48:49] ppdet.engine INFO: Epoch: [127] [ 80/261] learning_rate: 0.185312 loss_vfl: 0.746001 loss_bbox: 0.265518 loss_dfl: 0.172463 loss: 1.181016 eta: 1 day, 5:21:53 batch_cost: 2.3247 data_cost: 0.0014 ips: 24.0892 images/s [10/22 05:49:39] ppdet.engine INFO: Epoch: [127] [100/261] learning_rate: 0.185195 loss_vfl: 0.736556 loss_bbox: 0.279097 loss_dfl: 0.181304 loss: 1.190525 eta: 1 day, 5:21:05 batch_cost: 2.3260 data_cost: 0.0013 ips: 24.0759 images/s [10/22 05:50:27] ppdet.engine INFO: Epoch: [127] [120/261] learning_rate: 0.185078 loss_vfl: 0.733646 loss_bbox: 0.268587 loss_dfl: 0.183157 loss: 1.166806 eta: 1 day, 5:20:18 batch_cost: 2.3195 data_cost: 0.0013 ips: 24.1429 images/s [10/22 05:51:17] ppdet.engine INFO: Epoch: [127] [140/261] learning_rate: 0.184961 loss_vfl: 0.740322 loss_bbox: 0.292677 loss_dfl: 0.186310 loss: 1.218308 eta: 1 day, 5:19:30 batch_cost: 2.3323 data_cost: 0.0014 ips: 24.0102 images/s [10/22 05:52:06] ppdet.engine INFO: Epoch: [127] [160/261] learning_rate: 0.184844 loss_vfl: 0.742089 loss_bbox: 0.278943 loss_dfl: 0.188502 loss: 1.197872 eta: 1 day, 5:18:43 batch_cost: 2.3200 data_cost: 0.0013 ips: 24.1383 images/s [10/22 05:52:56] ppdet.engine INFO: Epoch: [127] [180/261] learning_rate: 0.184727 loss_vfl: 0.735121 loss_bbox: 0.266480 loss_dfl: 0.177261 loss: 1.192555 eta: 1 day, 5:17:55 batch_cost: 2.3298 data_cost: 0.0013 ips: 24.0367 images/s [10/22 05:53:47] ppdet.engine INFO: Epoch: [127] [200/261] learning_rate: 0.184610 loss_vfl: 0.740762 loss_bbox: 0.263284 loss_dfl: 0.174062 loss: 1.187203 eta: 1 day, 5:17:11 batch_cost: 2.4198 data_cost: 0.0014 ips: 23.1428 images/s [10/22 05:54:37] ppdet.engine INFO: Epoch: [127] [220/261] learning_rate: 0.184493 loss_vfl: 0.734906 loss_bbox: 0.277037 loss_dfl: 0.182189 loss: 1.208845 eta: 1 day, 5:16:24 batch_cost: 2.3426 data_cost: 0.0014 ips: 23.9048 images/s [10/22 05:55:27] ppdet.engine INFO: Epoch: [127] [240/261] learning_rate: 0.184376 loss_vfl: 0.733958 loss_bbox: 0.256608 loss_dfl: 0.174764 loss: 1.162178 eta: 1 day, 5:15:36 batch_cost: 2.3312 data_cost: 0.0013 ips: 24.0224 images/s [10/22 05:56:07] ppdet.engine INFO: Epoch: [127] [260/261] learning_rate: 0.184258 loss_vfl: 0.725113 loss_bbox: 0.272157 loss_dfl: 0.179406 loss: 1.178826 eta: 1 day, 5:14:37 batch_cost: 1.8889 data_cost: 0.0012 ips: 29.6474 images/s [10/22 05:56:33] ppdet.engine INFO: Epoch: [128] [ 0/261] learning_rate: 0.184253 loss_vfl: 0.725113 loss_bbox: 0.266708 loss_dfl: 0.178038 loss: 1.175625 eta: 1 day, 5:14:59 batch_cost: 2.8337 data_cost: 0.4443 ips: 19.7625 images/s [10/22 05:57:28] ppdet.engine INFO: Epoch: [128] [ 20/261] learning_rate: 0.184135 loss_vfl: 0.727587 loss_bbox: 0.281348 loss_dfl: 0.188622 loss: 1.200215 eta: 1 day, 5:14:21 batch_cost: 2.6602 data_cost: 0.0013 ips: 21.0510 images/s [10/22 05:58:19] ppdet.engine INFO: Epoch: [128] [ 40/261] learning_rate: 0.184018 loss_vfl: 0.723152 loss_bbox: 0.284547 loss_dfl: 0.191911 loss: 1.192809 eta: 1 day, 5:13:35 batch_cost: 2.4125 data_cost: 0.0013 ips: 23.2122 images/s [10/22 05:59:07] ppdet.engine INFO: Epoch: [128] [ 60/261] learning_rate: 0.183901 loss_vfl: 0.737147 loss_bbox: 0.290421 loss_dfl: 0.195660 loss: 1.229283 eta: 1 day, 5:12:46 batch_cost: 2.2412 data_cost: 0.0068 ips: 24.9866 images/s [10/22 05:59:54] ppdet.engine INFO: Epoch: [128] [ 80/261] learning_rate: 0.183784 loss_vfl: 0.744269 loss_bbox: 0.282706 loss_dfl: 0.189485 loss: 1.203108 eta: 1 day, 5:11:57 batch_cost: 2.2610 data_cost: 0.0014 ips: 24.7678 images/s [10/22 06:00:42] ppdet.engine INFO: Epoch: [128] [100/261] learning_rate: 0.183666 loss_vfl: 0.740631 loss_bbox: 0.260366 loss_dfl: 0.185054 loss: 1.179861 eta: 1 day, 5:11:07 batch_cost: 2.2548 data_cost: 0.0014 ips: 24.8364 images/s [10/22 06:01:32] ppdet.engine INFO: Epoch: [128] [120/261] learning_rate: 0.183549 loss_vfl: 0.744450 loss_bbox: 0.263902 loss_dfl: 0.178918 loss: 1.187469 eta: 1 day, 5:10:20 batch_cost: 2.3214 data_cost: 0.0014 ips: 24.1229 images/s [10/22 06:02:18] ppdet.engine INFO: Epoch: [128] [140/261] learning_rate: 0.183432 loss_vfl: 0.735657 loss_bbox: 0.284412 loss_dfl: 0.187724 loss: 1.197172 eta: 1 day, 5:09:28 batch_cost: 2.1692 data_cost: 0.0014 ips: 25.8163 images/s [10/22 06:03:11] ppdet.engine INFO: Epoch: [128] [160/261] learning_rate: 0.183314 loss_vfl: 0.740363 loss_bbox: 0.278986 loss_dfl: 0.184000 loss: 1.204729 eta: 1 day, 5:08:44 batch_cost: 2.4504 data_cost: 0.0013 ips: 22.8534 images/s [10/22 06:04:01] ppdet.engine INFO: Epoch: [128] [180/261] learning_rate: 0.183197 loss_vfl: 0.745931 loss_bbox: 0.285600 loss_dfl: 0.187632 loss: 1.205134 eta: 1 day, 5:07:58 batch_cost: 2.3971 data_cost: 0.0014 ips: 23.3620 images/s [10/22 06:04:52] ppdet.engine INFO: Epoch: [128] [200/261] learning_rate: 0.183080 loss_vfl: 0.738970 loss_bbox: 0.278108 loss_dfl: 0.191692 loss: 1.215891 eta: 1 day, 5:07:11 batch_cost: 2.3303 data_cost: 0.0014 ips: 24.0313 images/s [10/22 06:05:40] ppdet.engine INFO: Epoch: [128] [220/261] learning_rate: 0.182962 loss_vfl: 0.732499 loss_bbox: 0.262875 loss_dfl: 0.181216 loss: 1.185151 eta: 1 day, 5:06:22 batch_cost: 2.2695 data_cost: 0.0013 ips: 24.6748 images/s [10/22 06:06:29] ppdet.engine INFO: Epoch: [128] [240/261] learning_rate: 0.182845 loss_vfl: 0.736843 loss_bbox: 0.252450 loss_dfl: 0.178232 loss: 1.194152 eta: 1 day, 5:05:35 batch_cost: 2.3390 data_cost: 0.0013 ips: 23.9416 images/s [10/22 06:07:12] ppdet.engine INFO: Epoch: [128] [260/261] learning_rate: 0.182727 loss_vfl: 0.731904 loss_bbox: 0.279796 loss_dfl: 0.186725 loss: 1.186999 eta: 1 day, 5:04:39 batch_cost: 1.9899 data_cost: 0.0013 ips: 28.1423 images/s [10/22 06:07:36] ppdet.engine INFO: Epoch: [129] [ 0/261] learning_rate: 0.182721 loss_vfl: 0.726823 loss_bbox: 0.279796 loss_dfl: 0.183710 loss: 1.173709 eta: 1 day, 5:04:58 batch_cost: 2.8160 data_cost: 0.5229 ips: 19.8862 images/s [10/22 06:08:32] ppdet.engine INFO: Epoch: [129] [ 20/261] learning_rate: 0.182604 loss_vfl: 0.744880 loss_bbox: 0.277347 loss_dfl: 0.191876 loss: 1.213100 eta: 1 day, 5:04:19 batch_cost: 2.6630 data_cost: 0.0013 ips: 21.0291 images/s [10/22 06:09:22] ppdet.engine INFO: Epoch: [129] [ 40/261] learning_rate: 0.182487 loss_vfl: 0.733515 loss_bbox: 0.265215 loss_dfl: 0.179474 loss: 1.178369 eta: 1 day, 5:03:34 batch_cost: 2.4039 data_cost: 0.0013 ips: 23.2955 images/s [10/22 06:10:10] ppdet.engine INFO: Epoch: [129] [ 60/261] learning_rate: 0.182369 loss_vfl: 0.722181 loss_bbox: 0.266398 loss_dfl: 0.178564 loss: 1.170936 eta: 1 day, 5:02:44 batch_cost: 2.2375 data_cost: 0.0014 ips: 25.0275 images/s [10/22 06:10:58] ppdet.engine INFO: Epoch: [129] [ 80/261] learning_rate: 0.182251 loss_vfl: 0.756391 loss_bbox: 0.274589 loss_dfl: 0.185478 loss: 1.224169 eta: 1 day, 5:01:51 batch_cost: 2.1183 data_cost: 0.0013 ips: 26.4366 images/s [10/22 06:11:45] ppdet.engine INFO: Epoch: [129] [100/261] learning_rate: 0.182134 loss_vfl: 0.733544 loss_bbox: 0.272985 loss_dfl: 0.183482 loss: 1.194603 eta: 1 day, 5:01:02 batch_cost: 2.2627 data_cost: 0.0013 ips: 24.7497 images/s [10/22 06:12:33] ppdet.engine INFO: Epoch: [129] [120/261] learning_rate: 0.182016 loss_vfl: 0.741094 loss_bbox: 0.257505 loss_dfl: 0.176951 loss: 1.178788 eta: 1 day, 5:00:13 batch_cost: 2.2509 data_cost: 0.0014 ips: 24.8789 images/s [10/22 06:13:20] ppdet.engine INFO: Epoch: [129] [140/261] learning_rate: 0.181899 loss_vfl: 0.726883 loss_bbox: 0.258617 loss_dfl: 0.183102 loss: 1.192597 eta: 1 day, 4:59:21 batch_cost: 2.1786 data_cost: 0.0013 ips: 25.7045 images/s [10/22 06:14:08] ppdet.engine INFO: Epoch: [129] [160/261] learning_rate: 0.181781 loss_vfl: 0.740905 loss_bbox: 0.280899 loss_dfl: 0.186933 loss: 1.180622 eta: 1 day, 4:58:32 batch_cost: 2.2606 data_cost: 0.0013 ips: 24.7726 images/s [10/22 06:14:58] ppdet.engine INFO: Epoch: [129] [180/261] learning_rate: 0.181663 loss_vfl: 0.724440 loss_bbox: 0.283590 loss_dfl: 0.181380 loss: 1.203318 eta: 1 day, 4:57:46 batch_cost: 2.3828 data_cost: 0.0013 ips: 23.5014 images/s [10/22 06:15:47] ppdet.engine INFO: Epoch: [129] [200/261] learning_rate: 0.181546 loss_vfl: 0.725944 loss_bbox: 0.281076 loss_dfl: 0.187643 loss: 1.204032 eta: 1 day, 4:56:58 batch_cost: 2.2748 data_cost: 0.0014 ips: 24.6174 images/s [10/22 06:16:36] ppdet.engine INFO: Epoch: [129] [220/261] learning_rate: 0.181428 loss_vfl: 0.740581 loss_bbox: 0.261528 loss_dfl: 0.175761 loss: 1.190371 eta: 1 day, 4:56:09 batch_cost: 2.2769 data_cost: 0.0013 ips: 24.5951 images/s [10/22 06:17:23] ppdet.engine INFO: Epoch: [129] [240/261] learning_rate: 0.181310 loss_vfl: 0.730716 loss_bbox: 0.269543 loss_dfl: 0.177073 loss: 1.168153 eta: 1 day, 4:55:19 batch_cost: 2.2529 data_cost: 0.0013 ips: 24.8571 images/s [10/22 06:18:07] ppdet.engine INFO: Epoch: [129] [260/261] learning_rate: 0.181193 loss_vfl: 0.749474 loss_bbox: 0.299603 loss_dfl: 0.202721 loss: 1.248844 eta: 1 day, 4:54:27 batch_cost: 2.1239 data_cost: 0.0013 ips: 26.3667 images/s [10/22 06:18:13] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 06:18:13] ppdet.engine INFO: Eval iter: 0 [10/22 06:18:41] ppdet.engine INFO: Eval iter: 100 [10/22 06:18:56] ppdet.engine INFO: Eval iter: 200 [10/22 06:19:12] ppdet.engine INFO: Eval iter: 300 [10/22 06:19:29] ppdet.engine INFO: Eval iter: 400 [10/22 06:19:44] ppdet.engine INFO: Eval iter: 500 [10/22 06:19:59] ppdet.engine INFO: Eval iter: 600 [10/22 06:20:14] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.91s) creating index... index created! [10/22 06:20:15] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.80s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=70.61s). Accumulating evaluation results... DONE (t=12.28s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.353 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.518 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.373 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.155 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.383 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.557 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.300 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.470 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.246 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.565 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.732 [10/22 06:21:44] ppdet.engine INFO: Total sample number: 4952, averge FPS: 44.57964207461016 [10/22 06:21:44] ppdet.engine INFO: Best test bbox ap is 0.356. [10/22 06:21:49] ppdet.engine INFO: Epoch: [130] [ 0/261] learning_rate: 0.181187 loss_vfl: 0.749474 loss_bbox: 0.299790 loss_dfl: 0.202721 loss: 1.248844 eta: 1 day, 4:54:27 batch_cost: 2.2007 data_cost: 0.0014 ips: 25.4469 images/s [10/22 06:22:45] ppdet.engine INFO: Epoch: [130] [ 20/261] learning_rate: 0.181069 loss_vfl: 0.751673 loss_bbox: 0.283638 loss_dfl: 0.193926 loss: 1.237211 eta: 1 day, 4:53:47 batch_cost: 2.6328 data_cost: 0.0016 ips: 21.2701 images/s [10/22 06:23:33] ppdet.engine INFO: Epoch: [130] [ 40/261] learning_rate: 0.180951 loss_vfl: 0.718902 loss_bbox: 0.262156 loss_dfl: 0.184013 loss: 1.178703 eta: 1 day, 4:52:57 batch_cost: 2.2289 data_cost: 0.0013 ips: 25.1250 images/s [10/22 06:24:22] ppdet.engine INFO: Epoch: [130] [ 60/261] learning_rate: 0.180833 loss_vfl: 0.734964 loss_bbox: 0.263225 loss_dfl: 0.180511 loss: 1.155452 eta: 1 day, 4:52:09 batch_cost: 2.3102 data_cost: 0.0014 ips: 24.2407 images/s [10/22 06:25:10] ppdet.engine INFO: Epoch: [130] [ 80/261] learning_rate: 0.180716 loss_vfl: 0.729036 loss_bbox: 0.278105 loss_dfl: 0.188779 loss: 1.209487 eta: 1 day, 4:51:19 batch_cost: 2.2286 data_cost: 0.0014 ips: 25.1281 images/s [10/22 06:25:58] ppdet.engine INFO: Epoch: [130] [100/261] learning_rate: 0.180598 loss_vfl: 0.724854 loss_bbox: 0.287451 loss_dfl: 0.182767 loss: 1.196263 eta: 1 day, 4:50:29 batch_cost: 2.2016 data_cost: 0.0013 ips: 25.4358 images/s [10/22 06:26:48] ppdet.engine INFO: Epoch: [130] [120/261] learning_rate: 0.180480 loss_vfl: 0.748849 loss_bbox: 0.255173 loss_dfl: 0.179489 loss: 1.183537 eta: 1 day, 4:49:42 batch_cost: 2.3685 data_cost: 0.0014 ips: 23.6434 images/s [10/22 06:27:36] ppdet.engine INFO: Epoch: [130] [140/261] learning_rate: 0.180362 loss_vfl: 0.723958 loss_bbox: 0.272697 loss_dfl: 0.187636 loss: 1.201537 eta: 1 day, 4:48:54 batch_cost: 2.2806 data_cost: 0.0014 ips: 24.5552 images/s [10/22 06:28:27] ppdet.engine INFO: Epoch: [130] [160/261] learning_rate: 0.180244 loss_vfl: 0.737506 loss_bbox: 0.276747 loss_dfl: 0.183166 loss: 1.189485 eta: 1 day, 4:48:08 batch_cost: 2.3659 data_cost: 0.0013 ips: 23.6693 images/s [10/22 06:29:16] ppdet.engine INFO: Epoch: [130] [180/261] learning_rate: 0.180126 loss_vfl: 0.742314 loss_bbox: 0.292669 loss_dfl: 0.188217 loss: 1.232072 eta: 1 day, 4:47:18 batch_cost: 2.2388 data_cost: 0.0014 ips: 25.0138 images/s [10/22 06:30:01] ppdet.engine INFO: Epoch: [130] [200/261] learning_rate: 0.180008 loss_vfl: 0.727911 loss_bbox: 0.259270 loss_dfl: 0.182684 loss: 1.167036 eta: 1 day, 4:46:25 batch_cost: 2.1352 data_cost: 0.0013 ips: 26.2276 images/s [10/22 06:30:48] ppdet.engine INFO: Epoch: [130] [220/261] learning_rate: 0.179890 loss_vfl: 0.747537 loss_bbox: 0.277674 loss_dfl: 0.184930 loss: 1.207667 eta: 1 day, 4:45:34 batch_cost: 2.1831 data_cost: 0.0014 ips: 25.6521 images/s [10/22 06:31:36] ppdet.engine INFO: Epoch: [130] [240/261] learning_rate: 0.179772 loss_vfl: 0.732056 loss_bbox: 0.271034 loss_dfl: 0.182886 loss: 1.178264 eta: 1 day, 4:44:46 batch_cost: 2.2742 data_cost: 0.0013 ips: 24.6241 images/s [10/22 06:32:20] ppdet.engine INFO: Epoch: [130] [260/261] learning_rate: 0.179655 loss_vfl: 0.722856 loss_bbox: 0.270298 loss_dfl: 0.184566 loss: 1.176482 eta: 1 day, 4:43:52 batch_cost: 2.0922 data_cost: 0.0012 ips: 26.7666 images/s [10/22 06:32:44] ppdet.engine INFO: Epoch: [131] [ 0/261] learning_rate: 0.179649 loss_vfl: 0.722370 loss_bbox: 0.263626 loss_dfl: 0.182408 loss: 1.168219 eta: 1 day, 4:44:11 batch_cost: 2.9050 data_cost: 0.2339 ips: 19.2774 images/s [10/22 06:33:38] ppdet.engine INFO: Epoch: [131] [ 20/261] learning_rate: 0.179531 loss_vfl: 0.742213 loss_bbox: 0.267871 loss_dfl: 0.179150 loss: 1.192439 eta: 1 day, 4:43:28 batch_cost: 2.5027 data_cost: 0.0015 ips: 22.3756 images/s [10/22 06:34:28] ppdet.engine INFO: Epoch: [131] [ 40/261] learning_rate: 0.179413 loss_vfl: 0.728682 loss_bbox: 0.270203 loss_dfl: 0.183415 loss: 1.161181 eta: 1 day, 4:42:43 batch_cost: 2.3976 data_cost: 0.0013 ips: 23.3570 images/s [10/22 06:35:18] ppdet.engine INFO: Epoch: [131] [ 60/261] learning_rate: 0.179295 loss_vfl: 0.747429 loss_bbox: 0.266357 loss_dfl: 0.181082 loss: 1.203402 eta: 1 day, 4:41:55 batch_cost: 2.3331 data_cost: 0.0013 ips: 24.0027 images/s [10/22 06:36:05] ppdet.engine INFO: Epoch: [131] [ 80/261] learning_rate: 0.179176 loss_vfl: 0.730688 loss_bbox: 0.286828 loss_dfl: 0.195178 loss: 1.207137 eta: 1 day, 4:41:05 batch_cost: 2.1972 data_cost: 0.0014 ips: 25.4865 images/s [10/22 06:36:55] ppdet.engine INFO: Epoch: [131] [100/261] learning_rate: 0.179058 loss_vfl: 0.746223 loss_bbox: 0.265829 loss_dfl: 0.185429 loss: 1.187090 eta: 1 day, 4:40:18 batch_cost: 2.3373 data_cost: 0.0014 ips: 23.9588 images/s [10/22 06:37:45] ppdet.engine INFO: Epoch: [131] [120/261] learning_rate: 0.178940 loss_vfl: 0.733061 loss_bbox: 0.282757 loss_dfl: 0.188945 loss: 1.204428 eta: 1 day, 4:39:31 batch_cost: 2.3707 data_cost: 0.0013 ips: 23.6213 images/s [10/22 06:38:33] ppdet.engine INFO: Epoch: [131] [140/261] learning_rate: 0.178822 loss_vfl: 0.720066 loss_bbox: 0.275815 loss_dfl: 0.184226 loss: 1.164701 eta: 1 day, 4:38:42 batch_cost: 2.2360 data_cost: 0.0013 ips: 25.0446 images/s [10/22 06:39:24] ppdet.engine INFO: Epoch: [131] [160/261] learning_rate: 0.178704 loss_vfl: 0.734186 loss_bbox: 0.264982 loss_dfl: 0.177621 loss: 1.174213 eta: 1 day, 4:37:56 batch_cost: 2.4000 data_cost: 0.0014 ips: 23.3329 images/s [10/22 06:40:11] ppdet.engine INFO: Epoch: [131] [180/261] learning_rate: 0.178586 loss_vfl: 0.737544 loss_bbox: 0.272018 loss_dfl: 0.192102 loss: 1.214306 eta: 1 day, 4:37:04 batch_cost: 2.1487 data_cost: 0.0013 ips: 26.0622 images/s [10/22 06:41:01] ppdet.engine INFO: Epoch: [131] [200/261] learning_rate: 0.178468 loss_vfl: 0.739282 loss_bbox: 0.282731 loss_dfl: 0.186150 loss: 1.187029 eta: 1 day, 4:36:18 batch_cost: 2.3774 data_cost: 0.0013 ips: 23.5551 images/s [10/22 06:41:51] ppdet.engine INFO: Epoch: [131] [220/261] learning_rate: 0.178350 loss_vfl: 0.745457 loss_bbox: 0.262528 loss_dfl: 0.180950 loss: 1.185500 eta: 1 day, 4:35:33 batch_cost: 2.4146 data_cost: 0.0013 ips: 23.1923 images/s [10/22 06:42:41] ppdet.engine INFO: Epoch: [131] [240/261] learning_rate: 0.178231 loss_vfl: 0.734275 loss_bbox: 0.283515 loss_dfl: 0.194605 loss: 1.199882 eta: 1 day, 4:34:47 batch_cost: 2.3959 data_cost: 0.0014 ips: 23.3736 images/s [10/22 06:43:23] ppdet.engine INFO: Epoch: [131] [260/261] learning_rate: 0.178113 loss_vfl: 0.731469 loss_bbox: 0.276082 loss_dfl: 0.184185 loss: 1.212016 eta: 1 day, 4:33:51 batch_cost: 1.9666 data_cost: 0.0012 ips: 28.4755 images/s [10/22 06:43:43] ppdet.engine INFO: Epoch: [132] [ 0/261] learning_rate: 0.178107 loss_vfl: 0.724948 loss_bbox: 0.276082 loss_dfl: 0.184185 loss: 1.212016 eta: 1 day, 4:34:03 batch_cost: 2.5590 data_cost: 0.3345 ips: 21.8836 images/s [10/22 06:44:40] ppdet.engine INFO: Epoch: [132] [ 20/261] learning_rate: 0.177989 loss_vfl: 0.730392 loss_bbox: 0.268255 loss_dfl: 0.182370 loss: 1.200297 eta: 1 day, 4:33:27 batch_cost: 2.7598 data_cost: 0.0013 ips: 20.2914 images/s [10/22 06:45:28] ppdet.engine INFO: Epoch: [132] [ 40/261] learning_rate: 0.177871 loss_vfl: 0.723315 loss_bbox: 0.283722 loss_dfl: 0.185383 loss: 1.182220 eta: 1 day, 4:32:38 batch_cost: 2.2744 data_cost: 0.0013 ips: 24.6220 images/s [10/22 06:46:19] ppdet.engine INFO: Epoch: [132] [ 60/261] learning_rate: 0.177752 loss_vfl: 0.737320 loss_bbox: 0.294019 loss_dfl: 0.191850 loss: 1.224837 eta: 1 day, 4:31:51 batch_cost: 2.3289 data_cost: 0.0014 ips: 24.0460 images/s [10/22 06:47:08] ppdet.engine INFO: Epoch: [132] [ 80/261] learning_rate: 0.177634 loss_vfl: 0.744640 loss_bbox: 0.267610 loss_dfl: 0.188321 loss: 1.204274 eta: 1 day, 4:31:04 batch_cost: 2.3285 data_cost: 0.0013 ips: 24.0500 images/s [10/22 06:47:59] ppdet.engine INFO: Epoch: [132] [100/261] learning_rate: 0.177516 loss_vfl: 0.725374 loss_bbox: 0.263540 loss_dfl: 0.186183 loss: 1.200252 eta: 1 day, 4:30:18 batch_cost: 2.4117 data_cost: 0.0013 ips: 23.2200 images/s [10/22 06:48:50] ppdet.engine INFO: Epoch: [132] [120/261] learning_rate: 0.177397 loss_vfl: 0.739431 loss_bbox: 0.264026 loss_dfl: 0.185462 loss: 1.197633 eta: 1 day, 4:29:31 batch_cost: 2.3280 data_cost: 0.0013 ips: 24.0555 images/s [10/22 06:49:39] ppdet.engine INFO: Epoch: [132] [140/261] learning_rate: 0.177279 loss_vfl: 0.733197 loss_bbox: 0.253770 loss_dfl: 0.182906 loss: 1.189315 eta: 1 day, 4:28:43 batch_cost: 2.3075 data_cost: 0.0013 ips: 24.2691 images/s [10/22 06:50:28] ppdet.engine INFO: Epoch: [132] [160/261] learning_rate: 0.177161 loss_vfl: 0.721052 loss_bbox: 0.271769 loss_dfl: 0.182384 loss: 1.166120 eta: 1 day, 4:27:56 batch_cost: 2.3258 data_cost: 0.0013 ips: 24.0781 images/s [10/22 06:51:17] ppdet.engine INFO: Epoch: [132] [180/261] learning_rate: 0.177042 loss_vfl: 0.735486 loss_bbox: 0.267437 loss_dfl: 0.184937 loss: 1.195706 eta: 1 day, 4:27:07 batch_cost: 2.2787 data_cost: 0.0014 ips: 24.5754 images/s [10/22 06:52:05] ppdet.engine INFO: Epoch: [132] [200/261] learning_rate: 0.176924 loss_vfl: 0.749414 loss_bbox: 0.274860 loss_dfl: 0.187380 loss: 1.218370 eta: 1 day, 4:26:18 batch_cost: 2.2573 data_cost: 0.0014 ips: 24.8081 images/s [10/22 06:52:53] ppdet.engine INFO: Epoch: [132] [220/261] learning_rate: 0.176806 loss_vfl: 0.742482 loss_bbox: 0.257012 loss_dfl: 0.168940 loss: 1.183240 eta: 1 day, 4:25:27 batch_cost: 2.2042 data_cost: 0.0014 ips: 25.4062 images/s [10/22 06:53:44] ppdet.engine INFO: Epoch: [132] [240/261] learning_rate: 0.176687 loss_vfl: 0.731341 loss_bbox: 0.291232 loss_dfl: 0.188821 loss: 1.201096 eta: 1 day, 4:24:43 batch_cost: 2.4425 data_cost: 0.0013 ips: 22.9272 images/s [10/22 06:54:28] ppdet.engine INFO: Epoch: [132] [260/261] learning_rate: 0.176569 loss_vfl: 0.731659 loss_bbox: 0.266860 loss_dfl: 0.179357 loss: 1.168466 eta: 1 day, 4:23:50 batch_cost: 2.0906 data_cost: 0.0012 ips: 26.7868 images/s [10/22 06:54:51] ppdet.engine INFO: Epoch: [133] [ 0/261] learning_rate: 0.176563 loss_vfl: 0.732259 loss_bbox: 0.266860 loss_dfl: 0.179357 loss: 1.170853 eta: 1 day, 4:24:06 batch_cost: 2.8280 data_cost: 0.4735 ips: 19.8017 images/s [10/22 06:55:49] ppdet.engine INFO: Epoch: [133] [ 20/261] learning_rate: 0.176444 loss_vfl: 0.735204 loss_bbox: 0.274820 loss_dfl: 0.185730 loss: 1.213818 eta: 1 day, 4:23:29 batch_cost: 2.7316 data_cost: 0.0013 ips: 20.5005 images/s [10/22 06:56:40] ppdet.engine INFO: Epoch: [133] [ 40/261] learning_rate: 0.176326 loss_vfl: 0.710339 loss_bbox: 0.265078 loss_dfl: 0.180305 loss: 1.138571 eta: 1 day, 4:22:44 batch_cost: 2.4249 data_cost: 0.0013 ips: 23.0938 images/s [10/22 06:57:31] ppdet.engine INFO: Epoch: [133] [ 60/261] learning_rate: 0.176207 loss_vfl: 0.738582 loss_bbox: 0.263395 loss_dfl: 0.179527 loss: 1.196421 eta: 1 day, 4:21:59 batch_cost: 2.4230 data_cost: 0.0013 ips: 23.1114 images/s [10/22 06:58:21] ppdet.engine INFO: Epoch: [133] [ 80/261] learning_rate: 0.176089 loss_vfl: 0.733869 loss_bbox: 0.265487 loss_dfl: 0.181288 loss: 1.182260 eta: 1 day, 4:21:11 batch_cost: 2.3182 data_cost: 0.0013 ips: 24.1570 images/s [10/22 06:59:10] ppdet.engine INFO: Epoch: [133] [100/261] learning_rate: 0.175970 loss_vfl: 0.744303 loss_bbox: 0.274976 loss_dfl: 0.185579 loss: 1.201281 eta: 1 day, 4:20:22 batch_cost: 2.2404 data_cost: 0.0013 ips: 24.9951 images/s [10/22 06:59:59] ppdet.engine INFO: Epoch: [133] [120/261] learning_rate: 0.175852 loss_vfl: 0.723623 loss_bbox: 0.264256 loss_dfl: 0.179603 loss: 1.174131 eta: 1 day, 4:19:33 batch_cost: 2.2626 data_cost: 0.0014 ips: 24.7498 images/s [10/22 07:00:47] ppdet.engine INFO: Epoch: [133] [140/261] learning_rate: 0.175733 loss_vfl: 0.734643 loss_bbox: 0.274055 loss_dfl: 0.185169 loss: 1.205093 eta: 1 day, 4:18:44 batch_cost: 2.2575 data_cost: 0.0014 ips: 24.8064 images/s [10/22 07:01:34] ppdet.engine INFO: Epoch: [133] [160/261] learning_rate: 0.175614 loss_vfl: 0.732634 loss_bbox: 0.261792 loss_dfl: 0.177450 loss: 1.184030 eta: 1 day, 4:17:52 batch_cost: 2.1714 data_cost: 0.0086 ips: 25.7903 images/s [10/22 07:02:23] ppdet.engine INFO: Epoch: [133] [180/261] learning_rate: 0.175496 loss_vfl: 0.742808 loss_bbox: 0.261978 loss_dfl: 0.180932 loss: 1.186093 eta: 1 day, 4:17:04 batch_cost: 2.2789 data_cost: 0.0013 ips: 24.5735 images/s [10/22 07:03:10] ppdet.engine INFO: Epoch: [133] [200/261] learning_rate: 0.175377 loss_vfl: 0.728739 loss_bbox: 0.252662 loss_dfl: 0.185567 loss: 1.186706 eta: 1 day, 4:16:14 batch_cost: 2.2366 data_cost: 0.0014 ips: 25.0382 images/s [10/22 07:03:59] ppdet.engine INFO: Epoch: [133] [220/261] learning_rate: 0.175259 loss_vfl: 0.730524 loss_bbox: 0.271188 loss_dfl: 0.182810 loss: 1.184993 eta: 1 day, 4:15:27 batch_cost: 2.3441 data_cost: 0.0014 ips: 23.8897 images/s [10/22 07:04:48] ppdet.engine INFO: Epoch: [133] [240/261] learning_rate: 0.175140 loss_vfl: 0.742524 loss_bbox: 0.274699 loss_dfl: 0.184314 loss: 1.196584 eta: 1 day, 4:14:38 batch_cost: 2.2536 data_cost: 0.0013 ips: 24.8488 images/s [10/22 07:05:32] ppdet.engine INFO: Epoch: [133] [260/261] learning_rate: 0.175021 loss_vfl: 0.724430 loss_bbox: 0.258051 loss_dfl: 0.180966 loss: 1.160903 eta: 1 day, 4:13:45 batch_cost: 2.0953 data_cost: 0.0012 ips: 26.7269 images/s [10/22 07:05:54] ppdet.engine INFO: Epoch: [134] [ 0/261] learning_rate: 0.175015 loss_vfl: 0.724096 loss_bbox: 0.258051 loss_dfl: 0.180868 loss: 1.159167 eta: 1 day, 4:14:01 batch_cost: 2.7782 data_cost: 0.3648 ips: 20.1568 images/s [10/22 07:06:50] ppdet.engine INFO: Epoch: [134] [ 20/261] learning_rate: 0.174897 loss_vfl: 0.729288 loss_bbox: 0.280333 loss_dfl: 0.186850 loss: 1.171828 eta: 1 day, 4:13:17 batch_cost: 2.5014 data_cost: 0.0013 ips: 22.3872 images/s [10/22 07:07:35] ppdet.engine INFO: Epoch: [134] [ 40/261] learning_rate: 0.174778 loss_vfl: 0.729421 loss_bbox: 0.273114 loss_dfl: 0.194705 loss: 1.200571 eta: 1 day, 4:12:25 batch_cost: 2.1239 data_cost: 0.0013 ips: 26.3669 images/s [10/22 07:08:25] ppdet.engine INFO: Epoch: [134] [ 60/261] learning_rate: 0.174659 loss_vfl: 0.719821 loss_bbox: 0.277580 loss_dfl: 0.183112 loss: 1.192828 eta: 1 day, 4:11:39 batch_cost: 2.3617 data_cost: 0.0013 ips: 23.7115 images/s [10/22 07:09:14] ppdet.engine INFO: Epoch: [134] [ 80/261] learning_rate: 0.174540 loss_vfl: 0.722955 loss_bbox: 0.261385 loss_dfl: 0.186415 loss: 1.207902 eta: 1 day, 4:10:49 batch_cost: 2.2442 data_cost: 0.0014 ips: 24.9531 images/s [10/22 07:10:01] ppdet.engine INFO: Epoch: [134] [100/261] learning_rate: 0.174422 loss_vfl: 0.746072 loss_bbox: 0.263244 loss_dfl: 0.172495 loss: 1.180697 eta: 1 day, 4:09:58 batch_cost: 2.1865 data_cost: 0.0015 ips: 25.6113 images/s [10/22 07:10:50] ppdet.engine INFO: Epoch: [134] [120/261] learning_rate: 0.174303 loss_vfl: 0.739179 loss_bbox: 0.288025 loss_dfl: 0.194100 loss: 1.206232 eta: 1 day, 4:09:11 batch_cost: 2.3277 data_cost: 0.0013 ips: 24.0576 images/s [10/22 07:11:41] ppdet.engine INFO: Epoch: [134] [140/261] learning_rate: 0.174184 loss_vfl: 0.727802 loss_bbox: 0.268268 loss_dfl: 0.181720 loss: 1.164419 eta: 1 day, 4:08:25 batch_cost: 2.3962 data_cost: 0.0015 ips: 23.3699 images/s [10/22 07:12:27] ppdet.engine INFO: Epoch: [134] [160/261] learning_rate: 0.174065 loss_vfl: 0.743228 loss_bbox: 0.289845 loss_dfl: 0.190125 loss: 1.223085 eta: 1 day, 4:07:34 batch_cost: 2.1822 data_cost: 0.0013 ips: 25.6627 images/s [10/22 07:13:14] ppdet.engine INFO: Epoch: [134] [180/261] learning_rate: 0.173947 loss_vfl: 0.737257 loss_bbox: 0.285680 loss_dfl: 0.188028 loss: 1.203733 eta: 1 day, 4:06:43 batch_cost: 2.1582 data_cost: 0.0014 ips: 25.9473 images/s [10/22 07:14:02] ppdet.engine INFO: Epoch: [134] [200/261] learning_rate: 0.173828 loss_vfl: 0.743613 loss_bbox: 0.292789 loss_dfl: 0.191235 loss: 1.218439 eta: 1 day, 4:05:53 batch_cost: 2.2386 data_cost: 0.0014 ips: 25.0155 images/s [10/22 07:14:50] ppdet.engine INFO: Epoch: [134] [220/261] learning_rate: 0.173709 loss_vfl: 0.741845 loss_bbox: 0.295458 loss_dfl: 0.191098 loss: 1.227145 eta: 1 day, 4:05:03 batch_cost: 2.2257 data_cost: 0.0014 ips: 25.1606 images/s [10/22 07:15:39] ppdet.engine INFO: Epoch: [134] [240/261] learning_rate: 0.173590 loss_vfl: 0.722872 loss_bbox: 0.269728 loss_dfl: 0.179672 loss: 1.174960 eta: 1 day, 4:04:17 batch_cost: 2.3743 data_cost: 0.0013 ips: 23.5863 images/s [10/22 07:16:21] ppdet.engine INFO: Epoch: [134] [260/261] learning_rate: 0.173471 loss_vfl: 0.740093 loss_bbox: 0.261890 loss_dfl: 0.179478 loss: 1.179564 eta: 1 day, 4:03:21 batch_cost: 1.9816 data_cost: 0.0013 ips: 28.2597 images/s [10/22 07:16:44] ppdet.engine INFO: Epoch: [135] [ 0/261] learning_rate: 0.173465 loss_vfl: 0.732389 loss_bbox: 0.265113 loss_dfl: 0.181289 loss: 1.179564 eta: 1 day, 4:03:37 batch_cost: 2.7440 data_cost: 0.4414 ips: 20.4080 images/s [10/22 07:17:38] ppdet.engine INFO: Epoch: [135] [ 20/261] learning_rate: 0.173346 loss_vfl: 0.727789 loss_bbox: 0.262676 loss_dfl: 0.188533 loss: 1.189851 eta: 1 day, 4:02:56 batch_cost: 2.5725 data_cost: 0.0013 ips: 21.7688 images/s [10/22 07:18:27] ppdet.engine INFO: Epoch: [135] [ 40/261] learning_rate: 0.173227 loss_vfl: 0.736498 loss_bbox: 0.267181 loss_dfl: 0.180491 loss: 1.196898 eta: 1 day, 4:02:09 batch_cost: 2.3473 data_cost: 0.0013 ips: 23.8569 images/s [10/22 07:19:15] ppdet.engine INFO: Epoch: [135] [ 60/261] learning_rate: 0.173108 loss_vfl: 0.721349 loss_bbox: 0.299838 loss_dfl: 0.192257 loss: 1.223749 eta: 1 day, 4:01:20 batch_cost: 2.2511 data_cost: 0.0013 ips: 24.8770 images/s [10/22 07:20:05] ppdet.engine INFO: Epoch: [135] [ 80/261] learning_rate: 0.172990 loss_vfl: 0.733110 loss_bbox: 0.267889 loss_dfl: 0.182684 loss: 1.187592 eta: 1 day, 4:00:33 batch_cost: 2.3736 data_cost: 0.0014 ips: 23.5933 images/s [10/22 07:20:55] ppdet.engine INFO: Epoch: [135] [100/261] learning_rate: 0.172871 loss_vfl: 0.733728 loss_bbox: 0.264049 loss_dfl: 0.182946 loss: 1.181148 eta: 1 day, 3:59:47 batch_cost: 2.3609 data_cost: 0.0013 ips: 23.7198 images/s [10/22 07:21:44] ppdet.engine INFO: Epoch: [135] [120/261] learning_rate: 0.172752 loss_vfl: 0.750432 loss_bbox: 0.299431 loss_dfl: 0.198174 loss: 1.243591 eta: 1 day, 3:59:00 batch_cost: 2.3409 data_cost: 0.0014 ips: 23.9222 images/s [10/22 07:22:33] ppdet.engine INFO: Epoch: [135] [140/261] learning_rate: 0.172633 loss_vfl: 0.732304 loss_bbox: 0.290830 loss_dfl: 0.189534 loss: 1.199550 eta: 1 day, 3:58:10 batch_cost: 2.2431 data_cost: 0.0013 ips: 24.9659 images/s [10/22 07:23:20] ppdet.engine INFO: Epoch: [135] [160/261] learning_rate: 0.172514 loss_vfl: 0.742172 loss_bbox: 0.272562 loss_dfl: 0.179236 loss: 1.204539 eta: 1 day, 3:57:21 batch_cost: 2.2621 data_cost: 0.0014 ips: 24.7557 images/s [10/22 07:24:09] ppdet.engine INFO: Epoch: [135] [180/261] learning_rate: 0.172395 loss_vfl: 0.738221 loss_bbox: 0.264668 loss_dfl: 0.182919 loss: 1.175820 eta: 1 day, 3:56:33 batch_cost: 2.2919 data_cost: 0.0014 ips: 24.4341 images/s [10/22 07:24:58] ppdet.engine INFO: Epoch: [135] [200/261] learning_rate: 0.172276 loss_vfl: 0.730051 loss_bbox: 0.266899 loss_dfl: 0.184911 loss: 1.191756 eta: 1 day, 3:55:45 batch_cost: 2.2933 data_cost: 0.0013 ips: 24.4194 images/s [10/22 07:25:47] ppdet.engine INFO: Epoch: [135] [220/261] learning_rate: 0.172157 loss_vfl: 0.734594 loss_bbox: 0.262139 loss_dfl: 0.177605 loss: 1.172569 eta: 1 day, 3:54:57 batch_cost: 2.3062 data_cost: 0.0014 ips: 24.2825 images/s [10/22 07:26:36] ppdet.engine INFO: Epoch: [135] [240/261] learning_rate: 0.172037 loss_vfl: 0.733246 loss_bbox: 0.267447 loss_dfl: 0.182702 loss: 1.178946 eta: 1 day, 3:54:09 batch_cost: 2.2921 data_cost: 0.0013 ips: 24.4318 images/s [10/22 07:27:20] ppdet.engine INFO: Epoch: [135] [260/261] learning_rate: 0.171918 loss_vfl: 0.734665 loss_bbox: 0.265397 loss_dfl: 0.175610 loss: 1.171460 eta: 1 day, 3:53:16 batch_cost: 2.0773 data_cost: 0.0012 ips: 26.9580 images/s [10/22 07:27:44] ppdet.engine INFO: Epoch: [136] [ 0/261] learning_rate: 0.171912 loss_vfl: 0.741792 loss_bbox: 0.273495 loss_dfl: 0.178624 loss: 1.180540 eta: 1 day, 3:53:33 batch_cost: 2.8562 data_cost: 0.4023 ips: 19.6062 images/s [10/22 07:28:36] ppdet.engine INFO: Epoch: [136] [ 20/261] learning_rate: 0.171793 loss_vfl: 0.719550 loss_bbox: 0.271599 loss_dfl: 0.196262 loss: 1.200314 eta: 1 day, 3:52:48 batch_cost: 2.4379 data_cost: 0.0013 ips: 22.9707 images/s [10/22 07:29:27] ppdet.engine INFO: Epoch: [136] [ 40/261] learning_rate: 0.171674 loss_vfl: 0.742573 loss_bbox: 0.269145 loss_dfl: 0.180455 loss: 1.192827 eta: 1 day, 3:52:02 batch_cost: 2.3817 data_cost: 0.0014 ips: 23.5122 images/s [10/22 07:30:16] ppdet.engine INFO: Epoch: [136] [ 60/261] learning_rate: 0.171555 loss_vfl: 0.736768 loss_bbox: 0.267335 loss_dfl: 0.185973 loss: 1.189402 eta: 1 day, 3:51:15 batch_cost: 2.3299 data_cost: 0.0014 ips: 24.0350 images/s [10/22 07:31:04] ppdet.engine INFO: Epoch: [136] [ 80/261] learning_rate: 0.171436 loss_vfl: 0.742039 loss_bbox: 0.279042 loss_dfl: 0.192792 loss: 1.217137 eta: 1 day, 3:50:27 batch_cost: 2.3055 data_cost: 0.0013 ips: 24.2901 images/s [10/22 07:31:55] ppdet.engine INFO: Epoch: [136] [100/261] learning_rate: 0.171317 loss_vfl: 0.743083 loss_bbox: 0.283405 loss_dfl: 0.186282 loss: 1.219531 eta: 1 day, 3:49:41 batch_cost: 2.3813 data_cost: 0.0013 ips: 23.5164 images/s [10/22 07:32:44] ppdet.engine INFO: Epoch: [136] [120/261] learning_rate: 0.171198 loss_vfl: 0.743001 loss_bbox: 0.263126 loss_dfl: 0.183881 loss: 1.188051 eta: 1 day, 3:48:53 batch_cost: 2.3112 data_cost: 0.0013 ips: 24.2297 images/s [10/22 07:33:32] ppdet.engine INFO: Epoch: [136] [140/261] learning_rate: 0.171079 loss_vfl: 0.721933 loss_bbox: 0.283520 loss_dfl: 0.183273 loss: 1.202752 eta: 1 day, 3:48:05 batch_cost: 2.3076 data_cost: 0.0013 ips: 24.2674 images/s [10/22 07:34:21] ppdet.engine INFO: Epoch: [136] [160/261] learning_rate: 0.170959 loss_vfl: 0.737402 loss_bbox: 0.272983 loss_dfl: 0.184026 loss: 1.197939 eta: 1 day, 3:47:17 batch_cost: 2.3074 data_cost: 0.0014 ips: 24.2695 images/s [10/22 07:35:10] ppdet.engine INFO: Epoch: [136] [180/261] learning_rate: 0.170840 loss_vfl: 0.738500 loss_bbox: 0.279725 loss_dfl: 0.196666 loss: 1.211890 eta: 1 day, 3:46:29 batch_cost: 2.2808 data_cost: 0.0013 ips: 24.5527 images/s [10/22 07:35:59] ppdet.engine INFO: Epoch: [136] [200/261] learning_rate: 0.170721 loss_vfl: 0.736420 loss_bbox: 0.269423 loss_dfl: 0.186511 loss: 1.192008 eta: 1 day, 3:45:40 batch_cost: 2.2838 data_cost: 0.0013 ips: 24.5203 images/s [10/22 07:36:47] ppdet.engine INFO: Epoch: [136] [220/261] learning_rate: 0.170602 loss_vfl: 0.725837 loss_bbox: 0.270642 loss_dfl: 0.184018 loss: 1.194159 eta: 1 day, 3:44:52 batch_cost: 2.2920 data_cost: 0.0014 ips: 24.4328 images/s [10/22 07:37:37] ppdet.engine INFO: Epoch: [136] [240/261] learning_rate: 0.170483 loss_vfl: 0.739132 loss_bbox: 0.274365 loss_dfl: 0.192269 loss: 1.207786 eta: 1 day, 3:44:06 batch_cost: 2.3714 data_cost: 0.0013 ips: 23.6151 images/s [10/22 07:38:20] ppdet.engine INFO: Epoch: [136] [260/261] learning_rate: 0.170363 loss_vfl: 0.745147 loss_bbox: 0.275501 loss_dfl: 0.189262 loss: 1.210993 eta: 1 day, 3:43:11 batch_cost: 2.0246 data_cost: 0.0013 ips: 27.6592 images/s [10/22 07:38:41] ppdet.engine INFO: Epoch: [137] [ 0/261] learning_rate: 0.170357 loss_vfl: 0.747151 loss_bbox: 0.268457 loss_dfl: 0.189262 loss: 1.210993 eta: 1 day, 3:43:24 batch_cost: 2.7073 data_cost: 0.2816 ips: 20.6848 images/s [10/22 07:39:35] ppdet.engine INFO: Epoch: [137] [ 20/261] learning_rate: 0.170238 loss_vfl: 0.731115 loss_bbox: 0.266979 loss_dfl: 0.180678 loss: 1.199191 eta: 1 day, 3:42:42 batch_cost: 2.5554 data_cost: 0.0013 ips: 21.9147 images/s [10/22 07:40:26] ppdet.engine INFO: Epoch: [137] [ 40/261] learning_rate: 0.170119 loss_vfl: 0.726334 loss_bbox: 0.274278 loss_dfl: 0.184048 loss: 1.165303 eta: 1 day, 3:41:57 batch_cost: 2.4213 data_cost: 0.0013 ips: 23.1276 images/s [10/22 07:41:17] ppdet.engine INFO: Epoch: [137] [ 60/261] learning_rate: 0.170000 loss_vfl: 0.721802 loss_bbox: 0.273264 loss_dfl: 0.183240 loss: 1.181339 eta: 1 day, 3:41:12 batch_cost: 2.4400 data_cost: 0.0014 ips: 22.9511 images/s [10/22 07:42:08] ppdet.engine INFO: Epoch: [137] [ 80/261] learning_rate: 0.169880 loss_vfl: 0.729665 loss_bbox: 0.278535 loss_dfl: 0.184210 loss: 1.202946 eta: 1 day, 3:40:28 batch_cost: 2.4471 data_cost: 0.0013 ips: 22.8840 images/s [10/22 07:42:57] ppdet.engine INFO: Epoch: [137] [100/261] learning_rate: 0.169761 loss_vfl: 0.716282 loss_bbox: 0.277551 loss_dfl: 0.190658 loss: 1.208573 eta: 1 day, 3:39:40 batch_cost: 2.3248 data_cost: 0.0013 ips: 24.0885 images/s [10/22 07:43:44] ppdet.engine INFO: Epoch: [137] [120/261] learning_rate: 0.169642 loss_vfl: 0.733986 loss_bbox: 0.291941 loss_dfl: 0.200564 loss: 1.236176 eta: 1 day, 3:38:50 batch_cost: 2.1856 data_cost: 0.0014 ips: 25.6222 images/s [10/22 07:44:34] ppdet.engine INFO: Epoch: [137] [140/261] learning_rate: 0.169522 loss_vfl: 0.718995 loss_bbox: 0.272102 loss_dfl: 0.179676 loss: 1.181738 eta: 1 day, 3:38:03 batch_cost: 2.3666 data_cost: 0.0014 ips: 23.6622 images/s [10/22 07:45:25] ppdet.engine INFO: Epoch: [137] [160/261] learning_rate: 0.169403 loss_vfl: 0.730919 loss_bbox: 0.284329 loss_dfl: 0.191310 loss: 1.227094 eta: 1 day, 3:37:17 batch_cost: 2.3765 data_cost: 0.0014 ips: 23.5642 images/s [10/22 07:46:14] ppdet.engine INFO: Epoch: [137] [180/261] learning_rate: 0.169284 loss_vfl: 0.729293 loss_bbox: 0.276370 loss_dfl: 0.189321 loss: 1.202730 eta: 1 day, 3:36:30 batch_cost: 2.3402 data_cost: 0.0015 ips: 23.9298 images/s [10/22 07:47:03] ppdet.engine INFO: Epoch: [137] [200/261] learning_rate: 0.169164 loss_vfl: 0.744901 loss_bbox: 0.278697 loss_dfl: 0.188337 loss: 1.196150 eta: 1 day, 3:35:42 batch_cost: 2.3159 data_cost: 0.0014 ips: 24.1805 images/s [10/22 07:47:51] ppdet.engine INFO: Epoch: [137] [220/261] learning_rate: 0.169045 loss_vfl: 0.743667 loss_bbox: 0.282860 loss_dfl: 0.190236 loss: 1.214672 eta: 1 day, 3:34:54 batch_cost: 2.2707 data_cost: 0.0014 ips: 24.6621 images/s [10/22 07:48:40] ppdet.engine INFO: Epoch: [137] [240/261] learning_rate: 0.168925 loss_vfl: 0.741922 loss_bbox: 0.274409 loss_dfl: 0.188472 loss: 1.186704 eta: 1 day, 3:34:06 batch_cost: 2.3203 data_cost: 0.0013 ips: 24.1353 images/s [10/22 07:49:25] ppdet.engine INFO: Epoch: [137] [260/261] learning_rate: 0.168806 loss_vfl: 0.725726 loss_bbox: 0.270934 loss_dfl: 0.188873 loss: 1.188302 eta: 1 day, 3:33:14 batch_cost: 2.1451 data_cost: 0.0012 ips: 26.1058 images/s [10/22 07:49:49] ppdet.engine INFO: Epoch: [138] [ 0/261] learning_rate: 0.168800 loss_vfl: 0.726770 loss_bbox: 0.277787 loss_dfl: 0.192827 loss: 1.193129 eta: 1 day, 3:33:30 batch_cost: 2.9260 data_cost: 0.4876 ips: 19.1389 images/s [10/22 07:50:43] ppdet.engine INFO: Epoch: [138] [ 20/261] learning_rate: 0.168681 loss_vfl: 0.727038 loss_bbox: 0.290031 loss_dfl: 0.188030 loss: 1.206287 eta: 1 day, 3:32:48 batch_cost: 2.5508 data_cost: 0.0013 ips: 21.9535 images/s [10/22 07:51:31] ppdet.engine INFO: Epoch: [138] [ 40/261] learning_rate: 0.168561 loss_vfl: 0.726727 loss_bbox: 0.263920 loss_dfl: 0.179498 loss: 1.161744 eta: 1 day, 3:32:00 batch_cost: 2.2917 data_cost: 0.0013 ips: 24.4363 images/s [10/22 07:52:18] ppdet.engine INFO: Epoch: [138] [ 60/261] learning_rate: 0.168442 loss_vfl: 0.729008 loss_bbox: 0.309364 loss_dfl: 0.192589 loss: 1.247882 eta: 1 day, 3:31:10 batch_cost: 2.2268 data_cost: 0.0013 ips: 25.1481 images/s [10/22 07:53:08] ppdet.engine INFO: Epoch: [138] [ 80/261] learning_rate: 0.168322 loss_vfl: 0.722988 loss_bbox: 0.278928 loss_dfl: 0.190184 loss: 1.185543 eta: 1 day, 3:30:24 batch_cost: 2.3508 data_cost: 0.0013 ips: 23.8218 images/s [10/22 07:53:57] ppdet.engine INFO: Epoch: [138] [100/261] learning_rate: 0.168203 loss_vfl: 0.719868 loss_bbox: 0.276840 loss_dfl: 0.182352 loss: 1.179113 eta: 1 day, 3:29:35 batch_cost: 2.2914 data_cost: 0.0013 ips: 24.4392 images/s [10/22 07:54:44] ppdet.engine INFO: Epoch: [138] [120/261] learning_rate: 0.168083 loss_vfl: 0.738877 loss_bbox: 0.281150 loss_dfl: 0.189477 loss: 1.216259 eta: 1 day, 3:28:46 batch_cost: 2.2338 data_cost: 0.0014 ips: 25.0691 images/s [10/22 07:55:32] ppdet.engine INFO: Epoch: [138] [140/261] learning_rate: 0.167964 loss_vfl: 0.730152 loss_bbox: 0.279418 loss_dfl: 0.191904 loss: 1.185664 eta: 1 day, 3:27:57 batch_cost: 2.2759 data_cost: 0.0014 ips: 24.6056 images/s [10/22 07:56:21] ppdet.engine INFO: Epoch: [138] [160/261] learning_rate: 0.167844 loss_vfl: 0.741470 loss_bbox: 0.287926 loss_dfl: 0.193559 loss: 1.231778 eta: 1 day, 3:27:10 batch_cost: 2.3254 data_cost: 0.0014 ips: 24.0815 images/s [10/22 07:57:10] ppdet.engine INFO: Epoch: [138] [180/261] learning_rate: 0.167725 loss_vfl: 0.717128 loss_bbox: 0.279532 loss_dfl: 0.190701 loss: 1.185916 eta: 1 day, 3:26:23 batch_cost: 2.3349 data_cost: 0.0013 ips: 23.9844 images/s [10/22 07:57:59] ppdet.engine INFO: Epoch: [138] [200/261] learning_rate: 0.167605 loss_vfl: 0.727312 loss_bbox: 0.263665 loss_dfl: 0.175482 loss: 1.154528 eta: 1 day, 3:25:35 batch_cost: 2.3077 data_cost: 0.0014 ips: 24.2661 images/s [10/22 07:58:48] ppdet.engine INFO: Epoch: [138] [220/261] learning_rate: 0.167486 loss_vfl: 0.734332 loss_bbox: 0.269267 loss_dfl: 0.180676 loss: 1.198120 eta: 1 day, 3:24:47 batch_cost: 2.3211 data_cost: 0.0013 ips: 24.1261 images/s [10/22 07:59:37] ppdet.engine INFO: Epoch: [138] [240/261] learning_rate: 0.167366 loss_vfl: 0.736207 loss_bbox: 0.280292 loss_dfl: 0.183601 loss: 1.201914 eta: 1 day, 3:24:00 batch_cost: 2.3175 data_cost: 0.0013 ips: 24.1635 images/s [10/22 08:00:21] ppdet.engine INFO: Epoch: [138] [260/261] learning_rate: 0.167247 loss_vfl: 0.717025 loss_bbox: 0.287264 loss_dfl: 0.186559 loss: 1.189038 eta: 1 day, 3:23:06 batch_cost: 2.0559 data_cost: 0.0012 ips: 27.2380 images/s [10/22 08:00:45] ppdet.engine INFO: Epoch: [139] [ 0/261] learning_rate: 0.167241 loss_vfl: 0.711068 loss_bbox: 0.284003 loss_dfl: 0.186559 loss: 1.175645 eta: 1 day, 3:23:23 batch_cost: 2.8669 data_cost: 0.5351 ips: 19.5331 images/s [10/22 08:01:40] ppdet.engine INFO: Epoch: [139] [ 20/261] learning_rate: 0.167121 loss_vfl: 0.728511 loss_bbox: 0.266332 loss_dfl: 0.174982 loss: 1.166909 eta: 1 day, 3:22:43 batch_cost: 2.6327 data_cost: 0.0013 ips: 21.2708 images/s [10/22 08:02:30] ppdet.engine INFO: Epoch: [139] [ 40/261] learning_rate: 0.167001 loss_vfl: 0.721880 loss_bbox: 0.290432 loss_dfl: 0.185797 loss: 1.185561 eta: 1 day, 3:21:55 batch_cost: 2.2984 data_cost: 0.0013 ips: 24.3646 images/s [10/22 08:03:18] ppdet.engine INFO: Epoch: [139] [ 60/261] learning_rate: 0.166882 loss_vfl: 0.742310 loss_bbox: 0.280987 loss_dfl: 0.190744 loss: 1.211083 eta: 1 day, 3:21:07 batch_cost: 2.3007 data_cost: 0.0013 ips: 24.3405 images/s [10/22 08:04:07] ppdet.engine INFO: Epoch: [139] [ 80/261] learning_rate: 0.166762 loss_vfl: 0.718538 loss_bbox: 0.280875 loss_dfl: 0.184836 loss: 1.190294 eta: 1 day, 3:20:19 batch_cost: 2.3130 data_cost: 0.0014 ips: 24.2112 images/s [10/22 08:04:56] ppdet.engine INFO: Epoch: [139] [100/261] learning_rate: 0.166643 loss_vfl: 0.741374 loss_bbox: 0.275173 loss_dfl: 0.190340 loss: 1.202813 eta: 1 day, 3:19:31 batch_cost: 2.2966 data_cost: 0.0013 ips: 24.3840 images/s [10/22 08:05:46] ppdet.engine INFO: Epoch: [139] [120/261] learning_rate: 0.166523 loss_vfl: 0.721594 loss_bbox: 0.274592 loss_dfl: 0.182022 loss: 1.179691 eta: 1 day, 3:18:44 batch_cost: 2.3643 data_cost: 0.0014 ips: 23.6856 images/s [10/22 08:06:34] ppdet.engine INFO: Epoch: [139] [140/261] learning_rate: 0.166403 loss_vfl: 0.732386 loss_bbox: 0.262207 loss_dfl: 0.174899 loss: 1.186655 eta: 1 day, 3:17:55 batch_cost: 2.2506 data_cost: 0.0013 ips: 24.8827 images/s [10/22 08:07:22] ppdet.engine INFO: Epoch: [139] [160/261] learning_rate: 0.166284 loss_vfl: 0.728927 loss_bbox: 0.284686 loss_dfl: 0.185603 loss: 1.208273 eta: 1 day, 3:17:06 batch_cost: 2.2559 data_cost: 0.0013 ips: 24.8242 images/s [10/22 08:08:09] ppdet.engine INFO: Epoch: [139] [180/261] learning_rate: 0.166164 loss_vfl: 0.718730 loss_bbox: 0.288689 loss_dfl: 0.186066 loss: 1.216973 eta: 1 day, 3:16:16 batch_cost: 2.1906 data_cost: 0.0014 ips: 25.5636 images/s [10/22 08:08:57] ppdet.engine INFO: Epoch: [139] [200/261] learning_rate: 0.166044 loss_vfl: 0.715082 loss_bbox: 0.287067 loss_dfl: 0.186178 loss: 1.181682 eta: 1 day, 3:15:27 batch_cost: 2.2716 data_cost: 0.0013 ips: 24.6519 images/s [10/22 08:09:46] ppdet.engine INFO: Epoch: [139] [220/261] learning_rate: 0.165925 loss_vfl: 0.766876 loss_bbox: 0.263224 loss_dfl: 0.178760 loss: 1.204073 eta: 1 day, 3:14:38 batch_cost: 2.2770 data_cost: 0.0013 ips: 24.5938 images/s [10/22 08:10:35] ppdet.engine INFO: Epoch: [139] [240/261] learning_rate: 0.165805 loss_vfl: 0.734486 loss_bbox: 0.275869 loss_dfl: 0.183499 loss: 1.188892 eta: 1 day, 3:13:50 batch_cost: 2.2748 data_cost: 0.0013 ips: 24.6172 images/s [10/22 08:11:19] ppdet.engine INFO: Epoch: [139] [260/261] learning_rate: 0.165685 loss_vfl: 0.720954 loss_bbox: 0.284323 loss_dfl: 0.181807 loss: 1.186993 eta: 1 day, 3:12:58 batch_cost: 2.1228 data_cost: 0.0012 ips: 26.3802 images/s [10/22 08:11:25] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 08:11:26] ppdet.engine INFO: Eval iter: 0 [10/22 08:11:53] ppdet.engine INFO: Eval iter: 100 [10/22 08:12:08] ppdet.engine INFO: Eval iter: 200 [10/22 08:12:23] ppdet.engine INFO: Eval iter: 300 [10/22 08:12:39] ppdet.engine INFO: Eval iter: 400 [10/22 08:12:55] ppdet.engine INFO: Eval iter: 500 [10/22 08:13:11] ppdet.engine INFO: Eval iter: 600 [10/22 08:13:25] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.95s) creating index... index created! [10/22 08:13:26] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.95s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=71.41s). Accumulating evaluation results... DONE (t=12.37s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.354 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.517 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.370 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.149 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.383 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.560 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.301 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.472 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.239 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.566 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.731 [10/22 08:14:57] ppdet.engine INFO: Total sample number: 4952, averge FPS: 44.95892071749769 [10/22 08:14:57] ppdet.engine INFO: Best test bbox ap is 0.356. [10/22 08:15:00] ppdet.engine INFO: Epoch: [140] [ 0/261] learning_rate: 0.165679 loss_vfl: 0.720954 loss_bbox: 0.284323 loss_dfl: 0.181807 loss: 1.190135 eta: 1 day, 3:12:55 batch_cost: 2.1134 data_cost: 0.0013 ips: 26.4973 images/s [10/22 08:15:58] ppdet.engine INFO: Epoch: [140] [ 20/261] learning_rate: 0.165560 loss_vfl: 0.722640 loss_bbox: 0.266553 loss_dfl: 0.180937 loss: 1.158722 eta: 1 day, 3:12:19 batch_cost: 2.8050 data_cost: 0.0015 ips: 19.9640 images/s [10/22 08:16:46] ppdet.engine INFO: Epoch: [140] [ 40/261] learning_rate: 0.165440 loss_vfl: 0.718970 loss_bbox: 0.267975 loss_dfl: 0.185690 loss: 1.178503 eta: 1 day, 3:11:30 batch_cost: 2.2732 data_cost: 0.0013 ips: 24.6350 images/s [10/22 08:17:36] ppdet.engine INFO: Epoch: [140] [ 60/261] learning_rate: 0.165320 loss_vfl: 0.732877 loss_bbox: 0.282400 loss_dfl: 0.190640 loss: 1.179965 eta: 1 day, 3:10:42 batch_cost: 2.3003 data_cost: 0.0013 ips: 24.3447 images/s [10/22 08:18:23] ppdet.engine INFO: Epoch: [140] [ 80/261] learning_rate: 0.165200 loss_vfl: 0.734735 loss_bbox: 0.260494 loss_dfl: 0.184147 loss: 1.172730 eta: 1 day, 3:09:53 batch_cost: 2.2521 data_cost: 0.0013 ips: 24.8658 images/s [10/22 08:19:12] ppdet.engine INFO: Epoch: [140] [100/261] learning_rate: 0.165081 loss_vfl: 0.731111 loss_bbox: 0.283661 loss_dfl: 0.186673 loss: 1.186060 eta: 1 day, 3:09:05 batch_cost: 2.3091 data_cost: 0.0013 ips: 24.2520 images/s [10/22 08:20:05] ppdet.engine INFO: Epoch: [140] [120/261] learning_rate: 0.164961 loss_vfl: 0.744939 loss_bbox: 0.285722 loss_dfl: 0.189350 loss: 1.218529 eta: 1 day, 3:08:21 batch_cost: 2.4396 data_cost: 0.0013 ips: 22.9546 images/s [10/22 08:20:53] ppdet.engine INFO: Epoch: [140] [140/261] learning_rate: 0.164841 loss_vfl: 0.732287 loss_bbox: 0.260915 loss_dfl: 0.178154 loss: 1.185825 eta: 1 day, 3:07:31 batch_cost: 2.2206 data_cost: 0.0013 ips: 25.2187 images/s [10/22 08:21:42] ppdet.engine INFO: Epoch: [140] [160/261] learning_rate: 0.164721 loss_vfl: 0.723500 loss_bbox: 0.260180 loss_dfl: 0.179263 loss: 1.171124 eta: 1 day, 3:06:44 batch_cost: 2.3395 data_cost: 0.0013 ips: 23.9369 images/s [10/22 08:22:30] ppdet.engine INFO: Epoch: [140] [180/261] learning_rate: 0.164601 loss_vfl: 0.716085 loss_bbox: 0.274533 loss_dfl: 0.178261 loss: 1.175741 eta: 1 day, 3:05:55 batch_cost: 2.2483 data_cost: 0.0013 ips: 24.9073 images/s [10/22 08:23:17] ppdet.engine INFO: Epoch: [140] [200/261] learning_rate: 0.164482 loss_vfl: 0.737118 loss_bbox: 0.250835 loss_dfl: 0.172230 loss: 1.166698 eta: 1 day, 3:05:06 batch_cost: 2.2514 data_cost: 0.0013 ips: 24.8734 images/s [10/22 08:24:06] ppdet.engine INFO: Epoch: [140] [220/261] learning_rate: 0.164362 loss_vfl: 0.711278 loss_bbox: 0.280080 loss_dfl: 0.185148 loss: 1.183963 eta: 1 day, 3:04:18 batch_cost: 2.3339 data_cost: 0.0014 ips: 23.9942 images/s [10/22 08:24:54] ppdet.engine INFO: Epoch: [140] [240/261] learning_rate: 0.164242 loss_vfl: 0.726339 loss_bbox: 0.288877 loss_dfl: 0.187142 loss: 1.195067 eta: 1 day, 3:03:29 batch_cost: 2.2265 data_cost: 0.0014 ips: 25.1519 images/s [10/22 08:25:37] ppdet.engine INFO: Epoch: [140] [260/261] learning_rate: 0.164122 loss_vfl: 0.734580 loss_bbox: 0.262647 loss_dfl: 0.177681 loss: 1.182000 eta: 1 day, 3:02:35 batch_cost: 2.0471 data_cost: 0.0012 ips: 27.3562 images/s [10/22 08:26:01] ppdet.engine INFO: Epoch: [141] [ 0/261] learning_rate: 0.164116 loss_vfl: 0.734580 loss_bbox: 0.262647 loss_dfl: 0.177681 loss: 1.182000 eta: 1 day, 3:02:50 batch_cost: 2.8155 data_cost: 0.4494 ips: 19.8902 images/s [10/22 08:26:56] ppdet.engine INFO: Epoch: [141] [ 20/261] learning_rate: 0.163996 loss_vfl: 0.724638 loss_bbox: 0.287842 loss_dfl: 0.185918 loss: 1.204518 eta: 1 day, 3:02:09 batch_cost: 2.5902 data_cost: 0.0013 ips: 21.6197 images/s [10/22 08:27:46] ppdet.engine INFO: Epoch: [141] [ 40/261] learning_rate: 0.163877 loss_vfl: 0.718513 loss_bbox: 0.292764 loss_dfl: 0.188951 loss: 1.207198 eta: 1 day, 3:01:23 batch_cost: 2.3877 data_cost: 0.0013 ips: 23.4533 images/s [10/22 08:28:34] ppdet.engine INFO: Epoch: [141] [ 60/261] learning_rate: 0.163757 loss_vfl: 0.729325 loss_bbox: 0.275944 loss_dfl: 0.183843 loss: 1.193281 eta: 1 day, 3:00:34 batch_cost: 2.2382 data_cost: 0.0014 ips: 25.0205 images/s [10/22 08:29:21] ppdet.engine INFO: Epoch: [141] [ 80/261] learning_rate: 0.163637 loss_vfl: 0.716698 loss_bbox: 0.281998 loss_dfl: 0.189727 loss: 1.201679 eta: 1 day, 2:59:45 batch_cost: 2.2697 data_cost: 0.0012 ips: 24.6732 images/s [10/22 08:30:11] ppdet.engine INFO: Epoch: [141] [100/261] learning_rate: 0.163517 loss_vfl: 0.744224 loss_bbox: 0.297165 loss_dfl: 0.189182 loss: 1.232788 eta: 1 day, 2:58:58 batch_cost: 2.3523 data_cost: 0.0013 ips: 23.8068 images/s [10/22 08:31:00] ppdet.engine INFO: Epoch: [141] [120/261] learning_rate: 0.163397 loss_vfl: 0.728113 loss_bbox: 0.268416 loss_dfl: 0.185964 loss: 1.205010 eta: 1 day, 2:58:11 batch_cost: 2.3527 data_cost: 0.0013 ips: 23.8021 images/s [10/22 08:31:48] ppdet.engine INFO: Epoch: [141] [140/261] learning_rate: 0.163277 loss_vfl: 0.719856 loss_bbox: 0.275374 loss_dfl: 0.185359 loss: 1.182761 eta: 1 day, 2:57:22 batch_cost: 2.2429 data_cost: 0.0013 ips: 24.9680 images/s [10/22 08:32:37] ppdet.engine INFO: Epoch: [141] [160/261] learning_rate: 0.163157 loss_vfl: 0.723539 loss_bbox: 0.266838 loss_dfl: 0.183389 loss: 1.188198 eta: 1 day, 2:56:34 batch_cost: 2.2728 data_cost: 0.0014 ips: 24.6396 images/s [10/22 08:33:28] ppdet.engine INFO: Epoch: [141] [180/261] learning_rate: 0.163037 loss_vfl: 0.735523 loss_bbox: 0.291401 loss_dfl: 0.192003 loss: 1.224087 eta: 1 day, 2:55:46 batch_cost: 2.3184 data_cost: 0.0013 ips: 24.1550 images/s [10/22 08:34:18] ppdet.engine INFO: Epoch: [141] [200/261] learning_rate: 0.162917 loss_vfl: 0.725354 loss_bbox: 0.273869 loss_dfl: 0.183364 loss: 1.178769 eta: 1 day, 2:54:59 batch_cost: 2.3436 data_cost: 0.0013 ips: 23.8950 images/s [10/22 08:35:06] ppdet.engine INFO: Epoch: [141] [220/261] learning_rate: 0.162798 loss_vfl: 0.729762 loss_bbox: 0.276104 loss_dfl: 0.186050 loss: 1.200670 eta: 1 day, 2:54:11 batch_cost: 2.2985 data_cost: 0.0014 ips: 24.3634 images/s [10/22 08:35:57] ppdet.engine INFO: Epoch: [141] [240/261] learning_rate: 0.162678 loss_vfl: 0.725361 loss_bbox: 0.289640 loss_dfl: 0.194137 loss: 1.200712 eta: 1 day, 2:53:26 batch_cost: 2.4106 data_cost: 0.0013 ips: 23.2309 images/s [10/22 08:36:38] ppdet.engine INFO: Epoch: [141] [260/261] learning_rate: 0.162558 loss_vfl: 0.731210 loss_bbox: 0.280792 loss_dfl: 0.187128 loss: 1.207645 eta: 1 day, 2:52:30 batch_cost: 1.9615 data_cost: 0.0013 ips: 28.5500 images/s [10/22 08:37:01] ppdet.engine INFO: Epoch: [142] [ 0/261] learning_rate: 0.162552 loss_vfl: 0.733572 loss_bbox: 0.277499 loss_dfl: 0.184407 loss: 1.207645 eta: 1 day, 2:52:44 batch_cost: 2.6883 data_cost: 0.2795 ips: 20.8310 images/s [10/22 08:37:59] ppdet.engine INFO: Epoch: [142] [ 20/261] learning_rate: 0.162432 loss_vfl: 0.735237 loss_bbox: 0.282073 loss_dfl: 0.197265 loss: 1.219095 eta: 1 day, 2:52:05 batch_cost: 2.7207 data_cost: 0.0014 ips: 20.5827 images/s [10/22 08:38:48] ppdet.engine INFO: Epoch: [142] [ 40/261] learning_rate: 0.162312 loss_vfl: 0.723877 loss_bbox: 0.270873 loss_dfl: 0.188198 loss: 1.193798 eta: 1 day, 2:51:17 batch_cost: 2.3009 data_cost: 0.0013 ips: 24.3384 images/s [10/22 08:39:35] ppdet.engine INFO: Epoch: [142] [ 60/261] learning_rate: 0.162192 loss_vfl: 0.725385 loss_bbox: 0.271299 loss_dfl: 0.176112 loss: 1.171375 eta: 1 day, 2:50:28 batch_cost: 2.2306 data_cost: 0.0014 ips: 25.1058 images/s [10/22 08:40:26] ppdet.engine INFO: Epoch: [142] [ 80/261] learning_rate: 0.162072 loss_vfl: 0.733653 loss_bbox: 0.264964 loss_dfl: 0.184874 loss: 1.184211 eta: 1 day, 2:49:39 batch_cost: 2.2920 data_cost: 0.0013 ips: 24.4328 images/s [10/22 08:41:11] ppdet.engine INFO: Epoch: [142] [100/261] learning_rate: 0.161952 loss_vfl: 0.721042 loss_bbox: 0.290555 loss_dfl: 0.191005 loss: 1.202519 eta: 1 day, 2:48:47 batch_cost: 2.1079 data_cost: 0.0014 ips: 26.5668 images/s [10/22 08:41:58] ppdet.engine INFO: Epoch: [142] [120/261] learning_rate: 0.161832 loss_vfl: 0.740396 loss_bbox: 0.276914 loss_dfl: 0.183813 loss: 1.201324 eta: 1 day, 2:47:58 batch_cost: 2.2335 data_cost: 0.0013 ips: 25.0728 images/s [10/22 08:42:47] ppdet.engine INFO: Epoch: [142] [140/261] learning_rate: 0.161712 loss_vfl: 0.747296 loss_bbox: 0.259707 loss_dfl: 0.176769 loss: 1.181142 eta: 1 day, 2:47:10 batch_cost: 2.3284 data_cost: 0.0013 ips: 24.0511 images/s [10/22 08:43:32] ppdet.engine INFO: Epoch: [142] [160/261] learning_rate: 0.161592 loss_vfl: 0.734479 loss_bbox: 0.294512 loss_dfl: 0.188039 loss: 1.214633 eta: 1 day, 2:46:20 batch_cost: 2.1886 data_cost: 0.0013 ips: 25.5872 images/s [10/22 08:44:18] ppdet.engine INFO: Epoch: [142] [180/261] learning_rate: 0.161472 loss_vfl: 0.713256 loss_bbox: 0.264284 loss_dfl: 0.180408 loss: 1.162905 eta: 1 day, 2:45:30 batch_cost: 2.2010 data_cost: 0.0013 ips: 25.4434 images/s [10/22 08:45:06] ppdet.engine INFO: Epoch: [142] [200/261] learning_rate: 0.161352 loss_vfl: 0.741978 loss_bbox: 0.269843 loss_dfl: 0.176988 loss: 1.184317 eta: 1 day, 2:44:41 batch_cost: 2.2675 data_cost: 0.0014 ips: 24.6969 images/s [10/22 08:45:56] ppdet.engine INFO: Epoch: [142] [220/261] learning_rate: 0.161232 loss_vfl: 0.712946 loss_bbox: 0.267613 loss_dfl: 0.176804 loss: 1.161354 eta: 1 day, 2:43:54 batch_cost: 2.3195 data_cost: 0.0013 ips: 24.1432 images/s [10/22 08:46:46] ppdet.engine INFO: Epoch: [142] [240/261] learning_rate: 0.161112 loss_vfl: 0.721475 loss_bbox: 0.269059 loss_dfl: 0.188352 loss: 1.178934 eta: 1 day, 2:43:07 batch_cost: 2.3486 data_cost: 0.0013 ips: 23.8440 images/s [10/22 08:47:29] ppdet.engine INFO: Epoch: [142] [260/261] learning_rate: 0.160992 loss_vfl: 0.730394 loss_bbox: 0.270550 loss_dfl: 0.184019 loss: 1.181711 eta: 1 day, 2:42:14 batch_cost: 2.0595 data_cost: 0.0013 ips: 27.1906 images/s [10/22 08:47:52] ppdet.engine INFO: Epoch: [143] [ 0/261] learning_rate: 0.160986 loss_vfl: 0.730394 loss_bbox: 0.267862 loss_dfl: 0.182660 loss: 1.172579 eta: 1 day, 2:42:27 batch_cost: 2.7427 data_cost: 0.3874 ips: 20.4181 images/s [10/22 08:48:45] ppdet.engine INFO: Epoch: [143] [ 20/261] learning_rate: 0.160866 loss_vfl: 0.717795 loss_bbox: 0.287134 loss_dfl: 0.189925 loss: 1.203182 eta: 1 day, 2:41:43 batch_cost: 2.4802 data_cost: 0.0013 ips: 22.5789 images/s [10/22 08:49:35] ppdet.engine INFO: Epoch: [143] [ 40/261] learning_rate: 0.160746 loss_vfl: 0.719880 loss_bbox: 0.263835 loss_dfl: 0.180459 loss: 1.177391 eta: 1 day, 2:40:56 batch_cost: 2.3535 data_cost: 0.0013 ips: 23.7945 images/s [10/22 08:50:23] ppdet.engine INFO: Epoch: [143] [ 60/261] learning_rate: 0.160626 loss_vfl: 0.724351 loss_bbox: 0.265900 loss_dfl: 0.179546 loss: 1.153668 eta: 1 day, 2:40:07 batch_cost: 2.2300 data_cost: 0.0014 ips: 25.1122 images/s [10/22 08:51:12] ppdet.engine INFO: Epoch: [143] [ 80/261] learning_rate: 0.160505 loss_vfl: 0.724578 loss_bbox: 0.275506 loss_dfl: 0.190562 loss: 1.189131 eta: 1 day, 2:39:20 batch_cost: 2.3692 data_cost: 0.0013 ips: 23.6364 images/s [10/22 08:51:59] ppdet.engine INFO: Epoch: [143] [100/261] learning_rate: 0.160385 loss_vfl: 0.720452 loss_bbox: 0.272367 loss_dfl: 0.183638 loss: 1.167361 eta: 1 day, 2:38:30 batch_cost: 2.1718 data_cost: 0.0014 ips: 25.7850 images/s [10/22 08:52:47] ppdet.engine INFO: Epoch: [143] [120/261] learning_rate: 0.160265 loss_vfl: 0.726834 loss_bbox: 0.259334 loss_dfl: 0.186351 loss: 1.172706 eta: 1 day, 2:37:40 batch_cost: 2.2332 data_cost: 0.0013 ips: 25.0761 images/s [10/22 08:53:34] ppdet.engine INFO: Epoch: [143] [140/261] learning_rate: 0.160145 loss_vfl: 0.722789 loss_bbox: 0.272519 loss_dfl: 0.188858 loss: 1.184122 eta: 1 day, 2:36:50 batch_cost: 2.2001 data_cost: 0.0013 ips: 25.4530 images/s [10/22 08:54:23] ppdet.engine INFO: Epoch: [143] [160/261] learning_rate: 0.160025 loss_vfl: 0.715120 loss_bbox: 0.265121 loss_dfl: 0.181405 loss: 1.180368 eta: 1 day, 2:36:01 batch_cost: 2.2661 data_cost: 0.0014 ips: 24.7116 images/s [10/22 08:55:11] ppdet.engine INFO: Epoch: [143] [180/261] learning_rate: 0.159905 loss_vfl: 0.701537 loss_bbox: 0.278563 loss_dfl: 0.186990 loss: 1.172605 eta: 1 day, 2:35:12 batch_cost: 2.2311 data_cost: 0.0014 ips: 25.0992 images/s [10/22 08:55:59] ppdet.engine INFO: Epoch: [143] [200/261] learning_rate: 0.159785 loss_vfl: 0.723448 loss_bbox: 0.280171 loss_dfl: 0.182918 loss: 1.197594 eta: 1 day, 2:34:22 batch_cost: 2.1966 data_cost: 0.0014 ips: 25.4937 images/s [10/22 08:56:48] ppdet.engine INFO: Epoch: [143] [220/261] learning_rate: 0.159665 loss_vfl: 0.732687 loss_bbox: 0.263452 loss_dfl: 0.180397 loss: 1.176856 eta: 1 day, 2:33:35 batch_cost: 2.3441 data_cost: 0.0014 ips: 23.8895 images/s [10/22 08:57:38] ppdet.engine INFO: Epoch: [143] [240/261] learning_rate: 0.159545 loss_vfl: 0.713805 loss_bbox: 0.263824 loss_dfl: 0.179602 loss: 1.156703 eta: 1 day, 2:32:49 batch_cost: 2.3709 data_cost: 0.0014 ips: 23.6196 images/s [10/22 08:58:21] ppdet.engine INFO: Epoch: [143] [260/261] learning_rate: 0.159425 loss_vfl: 0.724408 loss_bbox: 0.269431 loss_dfl: 0.180442 loss: 1.171250 eta: 1 day, 2:31:55 batch_cost: 2.0510 data_cost: 0.0012 ips: 27.3031 images/s [10/22 08:58:43] ppdet.engine INFO: Epoch: [144] [ 0/261] learning_rate: 0.159419 loss_vfl: 0.724408 loss_bbox: 0.269431 loss_dfl: 0.180442 loss: 1.166531 eta: 1 day, 2:32:08 batch_cost: 2.6877 data_cost: 0.3977 ips: 20.8355 images/s [10/22 08:59:36] ppdet.engine INFO: Epoch: [144] [ 20/261] learning_rate: 0.159298 loss_vfl: 0.720596 loss_bbox: 0.269503 loss_dfl: 0.184912 loss: 1.166160 eta: 1 day, 2:31:25 batch_cost: 2.5568 data_cost: 0.0015 ips: 21.9025 images/s [10/22 09:00:25] ppdet.engine INFO: Epoch: [144] [ 40/261] learning_rate: 0.159178 loss_vfl: 0.727958 loss_bbox: 0.265718 loss_dfl: 0.180221 loss: 1.178785 eta: 1 day, 2:30:36 batch_cost: 2.2530 data_cost: 0.0013 ips: 24.8561 images/s [10/22 09:01:12] ppdet.engine INFO: Epoch: [144] [ 60/261] learning_rate: 0.159058 loss_vfl: 0.705997 loss_bbox: 0.270831 loss_dfl: 0.180611 loss: 1.165727 eta: 1 day, 2:29:46 batch_cost: 2.1744 data_cost: 0.0013 ips: 25.7543 images/s [10/22 09:02:02] ppdet.engine INFO: Epoch: [144] [ 80/261] learning_rate: 0.158938 loss_vfl: 0.737515 loss_bbox: 0.273216 loss_dfl: 0.188279 loss: 1.194847 eta: 1 day, 2:28:55 batch_cost: 2.1867 data_cost: 0.0013 ips: 25.6094 images/s [10/22 09:02:53] ppdet.engine INFO: Epoch: [144] [100/261] learning_rate: 0.158818 loss_vfl: 0.722476 loss_bbox: 0.273849 loss_dfl: 0.185722 loss: 1.185268 eta: 1 day, 2:28:09 batch_cost: 2.3926 data_cost: 0.0014 ips: 23.4051 images/s [10/22 09:03:41] ppdet.engine INFO: Epoch: [144] [120/261] learning_rate: 0.158698 loss_vfl: 0.721015 loss_bbox: 0.273824 loss_dfl: 0.183581 loss: 1.171538 eta: 1 day, 2:27:21 batch_cost: 2.2932 data_cost: 0.0013 ips: 24.4205 images/s [10/22 09:04:29] ppdet.engine INFO: Epoch: [144] [140/261] learning_rate: 0.158578 loss_vfl: 0.728102 loss_bbox: 0.270494 loss_dfl: 0.180458 loss: 1.189990 eta: 1 day, 2:26:32 batch_cost: 2.2495 data_cost: 0.0013 ips: 24.8942 images/s [10/22 09:05:19] ppdet.engine INFO: Epoch: [144] [160/261] learning_rate: 0.158457 loss_vfl: 0.723993 loss_bbox: 0.259804 loss_dfl: 0.180941 loss: 1.156954 eta: 1 day, 2:25:46 batch_cost: 2.3582 data_cost: 0.0014 ips: 23.7464 images/s [10/22 09:06:07] ppdet.engine INFO: Epoch: [144] [180/261] learning_rate: 0.158337 loss_vfl: 0.728246 loss_bbox: 0.285945 loss_dfl: 0.187285 loss: 1.199713 eta: 1 day, 2:24:56 batch_cost: 2.2425 data_cost: 0.0013 ips: 24.9722 images/s [10/22 09:06:55] ppdet.engine INFO: Epoch: [144] [200/261] learning_rate: 0.158217 loss_vfl: 0.713111 loss_bbox: 0.284086 loss_dfl: 0.188171 loss: 1.200923 eta: 1 day, 2:24:07 batch_cost: 2.2383 data_cost: 0.0013 ips: 25.0189 images/s [10/22 09:07:46] ppdet.engine INFO: Epoch: [144] [220/261] learning_rate: 0.158097 loss_vfl: 0.710830 loss_bbox: 0.265603 loss_dfl: 0.185547 loss: 1.172780 eta: 1 day, 2:23:22 batch_cost: 2.4021 data_cost: 0.0013 ips: 23.3127 images/s [10/22 09:08:36] ppdet.engine INFO: Epoch: [144] [240/261] learning_rate: 0.157977 loss_vfl: 0.713526 loss_bbox: 0.255513 loss_dfl: 0.176414 loss: 1.150077 eta: 1 day, 2:22:36 batch_cost: 2.4052 data_cost: 0.0013 ips: 23.2829 images/s [10/22 09:09:18] ppdet.engine INFO: Epoch: [144] [260/261] learning_rate: 0.157856 loss_vfl: 0.731812 loss_bbox: 0.268765 loss_dfl: 0.180605 loss: 1.175964 eta: 1 day, 2:21:41 batch_cost: 1.9580 data_cost: 0.0013 ips: 28.6001 images/s [10/22 09:09:40] ppdet.engine INFO: Epoch: [145] [ 0/261] learning_rate: 0.157850 loss_vfl: 0.731812 loss_bbox: 0.268765 loss_dfl: 0.180605 loss: 1.175964 eta: 1 day, 2:21:54 batch_cost: 2.6806 data_cost: 0.4533 ips: 20.8905 images/s [10/22 09:10:35] ppdet.engine INFO: Epoch: [145] [ 20/261] learning_rate: 0.157730 loss_vfl: 0.717553 loss_bbox: 0.281413 loss_dfl: 0.183052 loss: 1.175863 eta: 1 day, 2:21:12 batch_cost: 2.5792 data_cost: 0.0014 ips: 21.7125 images/s [10/22 09:11:24] ppdet.engine INFO: Epoch: [145] [ 40/261] learning_rate: 0.157610 loss_vfl: 0.719060 loss_bbox: 0.270951 loss_dfl: 0.179315 loss: 1.182209 eta: 1 day, 2:20:25 batch_cost: 2.3487 data_cost: 0.0013 ips: 23.8428 images/s [10/22 09:12:12] ppdet.engine INFO: Epoch: [145] [ 60/261] learning_rate: 0.157490 loss_vfl: 0.722854 loss_bbox: 0.280416 loss_dfl: 0.186558 loss: 1.184433 eta: 1 day, 2:19:35 batch_cost: 2.1904 data_cost: 0.0014 ips: 25.5667 images/s [10/22 09:13:01] ppdet.engine INFO: Epoch: [145] [ 80/261] learning_rate: 0.157370 loss_vfl: 0.724709 loss_bbox: 0.265704 loss_dfl: 0.183611 loss: 1.198766 eta: 1 day, 2:18:48 batch_cost: 2.3400 data_cost: 0.0013 ips: 23.9319 images/s [10/22 09:13:49] ppdet.engine INFO: Epoch: [145] [100/261] learning_rate: 0.157249 loss_vfl: 0.707650 loss_bbox: 0.260720 loss_dfl: 0.184002 loss: 1.151674 eta: 1 day, 2:17:59 batch_cost: 2.2386 data_cost: 0.0014 ips: 25.0158 images/s [10/22 09:14:38] ppdet.engine INFO: Epoch: [145] [120/261] learning_rate: 0.157129 loss_vfl: 0.726685 loss_bbox: 0.281837 loss_dfl: 0.188939 loss: 1.196103 eta: 1 day, 2:17:12 batch_cost: 2.3568 data_cost: 0.0014 ips: 23.7606 images/s [10/22 09:15:28] ppdet.engine INFO: Epoch: [145] [140/261] learning_rate: 0.157009 loss_vfl: 0.733365 loss_bbox: 0.291882 loss_dfl: 0.188631 loss: 1.173263 eta: 1 day, 2:16:26 batch_cost: 2.3949 data_cost: 0.0013 ips: 23.3827 images/s [10/22 09:16:15] ppdet.engine INFO: Epoch: [145] [160/261] learning_rate: 0.156889 loss_vfl: 0.732795 loss_bbox: 0.287613 loss_dfl: 0.192582 loss: 1.203851 eta: 1 day, 2:15:37 batch_cost: 2.2335 data_cost: 0.0013 ips: 25.0728 images/s [10/22 09:17:02] ppdet.engine INFO: Epoch: [145] [180/261] learning_rate: 0.156768 loss_vfl: 0.732358 loss_bbox: 0.277023 loss_dfl: 0.181735 loss: 1.204554 eta: 1 day, 2:14:46 batch_cost: 2.1675 data_cost: 0.0013 ips: 25.8366 images/s [10/22 09:17:52] ppdet.engine INFO: Epoch: [145] [200/261] learning_rate: 0.156648 loss_vfl: 0.717288 loss_bbox: 0.259595 loss_dfl: 0.178067 loss: 1.147319 eta: 1 day, 2:14:00 batch_cost: 2.3739 data_cost: 0.0013 ips: 23.5900 images/s [10/22 09:18:42] ppdet.engine INFO: Epoch: [145] [220/261] learning_rate: 0.156528 loss_vfl: 0.740733 loss_bbox: 0.277266 loss_dfl: 0.188755 loss: 1.196496 eta: 1 day, 2:13:13 batch_cost: 2.3623 data_cost: 0.0013 ips: 23.7054 images/s [10/22 09:19:30] ppdet.engine INFO: Epoch: [145] [240/261] learning_rate: 0.156408 loss_vfl: 0.722495 loss_bbox: 0.280076 loss_dfl: 0.182111 loss: 1.185383 eta: 1 day, 2:12:24 batch_cost: 2.2541 data_cost: 0.0013 ips: 24.8432 images/s [10/22 09:20:12] ppdet.engine INFO: Epoch: [145] [260/261] learning_rate: 0.156287 loss_vfl: 0.727118 loss_bbox: 0.275699 loss_dfl: 0.196596 loss: 1.214759 eta: 1 day, 2:11:30 batch_cost: 2.0002 data_cost: 0.0013 ips: 27.9974 images/s [10/22 09:20:35] ppdet.engine INFO: Epoch: [146] [ 0/261] learning_rate: 0.156281 loss_vfl: 0.725747 loss_bbox: 0.275699 loss_dfl: 0.196596 loss: 1.214759 eta: 1 day, 2:11:43 batch_cost: 2.7410 data_cost: 0.3738 ips: 20.4307 images/s [10/22 09:21:30] ppdet.engine INFO: Epoch: [146] [ 20/261] learning_rate: 0.156161 loss_vfl: 0.722902 loss_bbox: 0.279385 loss_dfl: 0.187595 loss: 1.196216 eta: 1 day, 2:11:03 batch_cost: 2.6575 data_cost: 0.0013 ips: 21.0721 images/s [10/22 09:22:18] ppdet.engine INFO: Epoch: [146] [ 40/261] learning_rate: 0.156041 loss_vfl: 0.728480 loss_bbox: 0.296873 loss_dfl: 0.191423 loss: 1.196676 eta: 1 day, 2:10:14 batch_cost: 2.2760 data_cost: 0.0014 ips: 24.6043 images/s [10/22 09:23:08] ppdet.engine INFO: Epoch: [146] [ 60/261] learning_rate: 0.155921 loss_vfl: 0.719830 loss_bbox: 0.278394 loss_dfl: 0.187370 loss: 1.195054 eta: 1 day, 2:09:27 batch_cost: 2.3403 data_cost: 0.0013 ips: 23.9288 images/s [10/22 09:23:56] ppdet.engine INFO: Epoch: [146] [ 80/261] learning_rate: 0.155800 loss_vfl: 0.719887 loss_bbox: 0.259734 loss_dfl: 0.181052 loss: 1.170424 eta: 1 day, 2:08:39 batch_cost: 2.2704 data_cost: 0.0014 ips: 24.6653 images/s [10/22 09:24:45] ppdet.engine INFO: Epoch: [146] [100/261] learning_rate: 0.155680 loss_vfl: 0.731864 loss_bbox: 0.275589 loss_dfl: 0.185406 loss: 1.193493 eta: 1 day, 2:07:50 batch_cost: 2.2583 data_cost: 0.0014 ips: 24.7974 images/s [10/22 09:25:37] ppdet.engine INFO: Epoch: [146] [120/261] learning_rate: 0.155560 loss_vfl: 0.745988 loss_bbox: 0.252679 loss_dfl: 0.174237 loss: 1.143161 eta: 1 day, 2:07:05 batch_cost: 2.4362 data_cost: 0.0014 ips: 22.9864 images/s [10/22 09:26:27] ppdet.engine INFO: Epoch: [146] [140/261] learning_rate: 0.155439 loss_vfl: 0.717918 loss_bbox: 0.271102 loss_dfl: 0.185188 loss: 1.171370 eta: 1 day, 2:06:18 batch_cost: 2.3682 data_cost: 0.0013 ips: 23.6464 images/s [10/22 09:27:16] ppdet.engine INFO: Epoch: [146] [160/261] learning_rate: 0.155319 loss_vfl: 0.725093 loss_bbox: 0.258486 loss_dfl: 0.176526 loss: 1.160125 eta: 1 day, 2:05:30 batch_cost: 2.2790 data_cost: 0.0014 ips: 24.5718 images/s [10/22 09:28:06] ppdet.engine INFO: Epoch: [146] [180/261] learning_rate: 0.155199 loss_vfl: 0.718741 loss_bbox: 0.265429 loss_dfl: 0.182296 loss: 1.185259 eta: 1 day, 2:04:43 batch_cost: 2.3543 data_cost: 0.0013 ips: 23.7861 images/s [10/22 09:28:56] ppdet.engine INFO: Epoch: [146] [200/261] learning_rate: 0.155079 loss_vfl: 0.717683 loss_bbox: 0.257002 loss_dfl: 0.178798 loss: 1.170188 eta: 1 day, 2:03:56 batch_cost: 2.3356 data_cost: 0.0013 ips: 23.9769 images/s [10/22 09:29:46] ppdet.engine INFO: Epoch: [146] [220/261] learning_rate: 0.154958 loss_vfl: 0.718981 loss_bbox: 0.270658 loss_dfl: 0.182679 loss: 1.183570 eta: 1 day, 2:03:10 batch_cost: 2.3996 data_cost: 0.0013 ips: 23.3375 images/s [10/22 09:30:37] ppdet.engine INFO: Epoch: [146] [240/261] learning_rate: 0.154838 loss_vfl: 0.720667 loss_bbox: 0.259404 loss_dfl: 0.176372 loss: 1.154753 eta: 1 day, 2:02:24 batch_cost: 2.3920 data_cost: 0.0013 ips: 23.4114 images/s [10/22 09:31:20] ppdet.engine INFO: Epoch: [146] [260/261] learning_rate: 0.154718 loss_vfl: 0.722032 loss_bbox: 0.275579 loss_dfl: 0.191139 loss: 1.214170 eta: 1 day, 2:01:31 batch_cost: 2.0508 data_cost: 0.0013 ips: 27.3059 images/s [10/22 09:31:43] ppdet.engine INFO: Epoch: [147] [ 0/261] learning_rate: 0.154712 loss_vfl: 0.722032 loss_bbox: 0.275049 loss_dfl: 0.191139 loss: 1.214170 eta: 1 day, 2:01:45 batch_cost: 2.8104 data_cost: 0.4740 ips: 19.9256 images/s [10/22 09:32:35] ppdet.engine INFO: Epoch: [147] [ 20/261] learning_rate: 0.154591 loss_vfl: 0.727289 loss_bbox: 0.282144 loss_dfl: 0.191128 loss: 1.205593 eta: 1 day, 2:01:01 batch_cost: 2.4612 data_cost: 0.0014 ips: 22.7531 images/s [10/22 09:33:25] ppdet.engine INFO: Epoch: [147] [ 40/261] learning_rate: 0.154471 loss_vfl: 0.718369 loss_bbox: 0.266608 loss_dfl: 0.175350 loss: 1.156353 eta: 1 day, 2:00:15 batch_cost: 2.4014 data_cost: 0.0014 ips: 23.3196 images/s [10/22 09:34:15] ppdet.engine INFO: Epoch: [147] [ 60/261] learning_rate: 0.154351 loss_vfl: 0.726981 loss_bbox: 0.270050 loss_dfl: 0.185378 loss: 1.180342 eta: 1 day, 1:59:29 batch_cost: 2.3840 data_cost: 0.0014 ips: 23.4901 images/s [10/22 09:35:01] ppdet.engine INFO: Epoch: [147] [ 80/261] learning_rate: 0.154230 loss_vfl: 0.711729 loss_bbox: 0.267083 loss_dfl: 0.184310 loss: 1.167161 eta: 1 day, 1:58:38 batch_cost: 2.1647 data_cost: 0.0014 ips: 25.8702 images/s [10/22 09:35:51] ppdet.engine INFO: Epoch: [147] [100/261] learning_rate: 0.154110 loss_vfl: 0.727984 loss_bbox: 0.259643 loss_dfl: 0.179421 loss: 1.156863 eta: 1 day, 1:57:51 batch_cost: 2.3523 data_cost: 0.0013 ips: 23.8066 images/s [10/22 09:36:38] ppdet.engine INFO: Epoch: [147] [120/261] learning_rate: 0.153990 loss_vfl: 0.711704 loss_bbox: 0.258208 loss_dfl: 0.173120 loss: 1.162112 eta: 1 day, 1:57:02 batch_cost: 2.2584 data_cost: 0.0014 ips: 24.7958 images/s [10/22 09:37:28] ppdet.engine INFO: Epoch: [147] [140/261] learning_rate: 0.153869 loss_vfl: 0.721266 loss_bbox: 0.261124 loss_dfl: 0.176793 loss: 1.156514 eta: 1 day, 1:56:16 batch_cost: 2.3677 data_cost: 0.0015 ips: 23.6519 images/s [10/22 09:38:16] ppdet.engine INFO: Epoch: [147] [160/261] learning_rate: 0.153749 loss_vfl: 0.718347 loss_bbox: 0.256755 loss_dfl: 0.176523 loss: 1.141185 eta: 1 day, 1:55:27 batch_cost: 2.2648 data_cost: 0.0014 ips: 24.7258 images/s [10/22 09:39:06] ppdet.engine INFO: Epoch: [147] [180/261] learning_rate: 0.153629 loss_vfl: 0.714906 loss_bbox: 0.281909 loss_dfl: 0.185121 loss: 1.183801 eta: 1 day, 1:54:41 batch_cost: 2.3632 data_cost: 0.0013 ips: 23.6963 images/s [10/22 09:39:55] ppdet.engine INFO: Epoch: [147] [200/261] learning_rate: 0.153508 loss_vfl: 0.727273 loss_bbox: 0.258799 loss_dfl: 0.179994 loss: 1.150063 eta: 1 day, 1:53:53 batch_cost: 2.2896 data_cost: 0.0013 ips: 24.4584 images/s [10/22 09:40:44] ppdet.engine INFO: Epoch: [147] [220/261] learning_rate: 0.153388 loss_vfl: 0.722766 loss_bbox: 0.278108 loss_dfl: 0.184858 loss: 1.180678 eta: 1 day, 1:53:06 batch_cost: 2.3553 data_cost: 0.0013 ips: 23.7764 images/s [10/22 09:41:34] ppdet.engine INFO: Epoch: [147] [240/261] learning_rate: 0.153268 loss_vfl: 0.725930 loss_bbox: 0.279284 loss_dfl: 0.185868 loss: 1.165833 eta: 1 day, 1:52:19 batch_cost: 2.3335 data_cost: 0.0013 ips: 23.9987 images/s [10/22 09:42:17] ppdet.engine INFO: Epoch: [147] [260/261] learning_rate: 0.153147 loss_vfl: 0.739820 loss_bbox: 0.272599 loss_dfl: 0.178386 loss: 1.196165 eta: 1 day, 1:51:25 batch_cost: 2.0413 data_cost: 0.0013 ips: 27.4334 images/s [10/22 09:42:39] ppdet.engine INFO: Epoch: [148] [ 0/261] learning_rate: 0.153141 loss_vfl: 0.739820 loss_bbox: 0.274136 loss_dfl: 0.178250 loss: 1.196165 eta: 1 day, 1:51:38 batch_cost: 2.7887 data_cost: 0.2196 ips: 20.0808 images/s [10/22 09:43:37] ppdet.engine INFO: Epoch: [148] [ 20/261] learning_rate: 0.153021 loss_vfl: 0.705112 loss_bbox: 0.277323 loss_dfl: 0.195516 loss: 1.182761 eta: 1 day, 1:50:58 batch_cost: 2.6780 data_cost: 0.0014 ips: 20.9114 images/s [10/22 09:44:27] ppdet.engine INFO: Epoch: [148] [ 40/261] learning_rate: 0.152901 loss_vfl: 0.716575 loss_bbox: 0.278708 loss_dfl: 0.185590 loss: 1.177785 eta: 1 day, 1:50:12 batch_cost: 2.3954 data_cost: 0.0013 ips: 23.3782 images/s [10/22 09:45:16] ppdet.engine INFO: Epoch: [148] [ 60/261] learning_rate: 0.152780 loss_vfl: 0.718884 loss_bbox: 0.282979 loss_dfl: 0.187510 loss: 1.188267 eta: 1 day, 1:49:23 batch_cost: 2.2526 data_cost: 0.0013 ips: 24.8600 images/s [10/22 09:46:07] ppdet.engine INFO: Epoch: [148] [ 80/261] learning_rate: 0.152660 loss_vfl: 0.705234 loss_bbox: 0.271666 loss_dfl: 0.186883 loss: 1.169774 eta: 1 day, 1:48:38 batch_cost: 2.4378 data_cost: 0.0013 ips: 22.9711 images/s [10/22 09:46:57] ppdet.engine INFO: Epoch: [148] [100/261] learning_rate: 0.152540 loss_vfl: 0.736433 loss_bbox: 0.286478 loss_dfl: 0.188335 loss: 1.200108 eta: 1 day, 1:47:49 batch_cost: 2.2823 data_cost: 0.0014 ips: 24.5367 images/s [10/22 09:47:46] ppdet.engine INFO: Epoch: [148] [120/261] learning_rate: 0.152419 loss_vfl: 0.722196 loss_bbox: 0.264655 loss_dfl: 0.186285 loss: 1.175091 eta: 1 day, 1:47:03 batch_cost: 2.3507 data_cost: 0.0014 ips: 23.8226 images/s [10/22 09:48:35] ppdet.engine INFO: Epoch: [148] [140/261] learning_rate: 0.152299 loss_vfl: 0.737407 loss_bbox: 0.273482 loss_dfl: 0.186094 loss: 1.191224 eta: 1 day, 1:46:14 batch_cost: 2.2811 data_cost: 0.0014 ips: 24.5492 images/s [10/22 09:49:23] ppdet.engine INFO: Epoch: [148] [160/261] learning_rate: 0.152179 loss_vfl: 0.722657 loss_bbox: 0.273004 loss_dfl: 0.184937 loss: 1.193837 eta: 1 day, 1:45:27 batch_cost: 2.3397 data_cost: 0.0013 ips: 23.9347 images/s [10/22 09:50:11] ppdet.engine INFO: Epoch: [148] [180/261] learning_rate: 0.152058 loss_vfl: 0.733731 loss_bbox: 0.274401 loss_dfl: 0.177577 loss: 1.198864 eta: 1 day, 1:44:38 batch_cost: 2.2432 data_cost: 0.0013 ips: 24.9648 images/s [10/22 09:50:59] ppdet.engine INFO: Epoch: [148] [200/261] learning_rate: 0.151938 loss_vfl: 0.726214 loss_bbox: 0.265203 loss_dfl: 0.183691 loss: 1.181957 eta: 1 day, 1:43:50 batch_cost: 2.2678 data_cost: 0.0014 ips: 24.6938 images/s [10/22 09:51:48] ppdet.engine INFO: Epoch: [148] [220/261] learning_rate: 0.151818 loss_vfl: 0.722233 loss_bbox: 0.273916 loss_dfl: 0.188437 loss: 1.178434 eta: 1 day, 1:43:00 batch_cost: 2.2349 data_cost: 0.0013 ips: 25.0566 images/s [10/22 09:52:36] ppdet.engine INFO: Epoch: [148] [240/261] learning_rate: 0.151697 loss_vfl: 0.723875 loss_bbox: 0.265778 loss_dfl: 0.183000 loss: 1.164337 eta: 1 day, 1:42:12 batch_cost: 2.2728 data_cost: 0.0013 ips: 24.6396 images/s [10/22 09:53:18] ppdet.engine INFO: Epoch: [148] [260/261] learning_rate: 0.151577 loss_vfl: 0.723727 loss_bbox: 0.272006 loss_dfl: 0.183008 loss: 1.181581 eta: 1 day, 1:41:17 batch_cost: 1.9290 data_cost: 0.0013 ips: 29.0304 images/s [10/22 09:53:41] ppdet.engine INFO: Epoch: [149] [ 0/261] learning_rate: 0.151571 loss_vfl: 0.723727 loss_bbox: 0.272006 loss_dfl: 0.183374 loss: 1.188846 eta: 1 day, 1:41:30 batch_cost: 2.6912 data_cost: 0.4533 ips: 20.8087 images/s [10/22 09:54:39] ppdet.engine INFO: Epoch: [149] [ 20/261] learning_rate: 0.151450 loss_vfl: 0.732024 loss_bbox: 0.280294 loss_dfl: 0.188696 loss: 1.187165 eta: 1 day, 1:40:50 batch_cost: 2.6951 data_cost: 0.0013 ips: 20.7781 images/s [10/22 09:55:27] ppdet.engine INFO: Epoch: [149] [ 40/261] learning_rate: 0.151330 loss_vfl: 0.722357 loss_bbox: 0.278611 loss_dfl: 0.188302 loss: 1.193409 eta: 1 day, 1:40:01 batch_cost: 2.2421 data_cost: 0.0014 ips: 24.9771 images/s [10/22 09:56:17] ppdet.engine INFO: Epoch: [149] [ 60/261] learning_rate: 0.151210 loss_vfl: 0.718976 loss_bbox: 0.276798 loss_dfl: 0.183660 loss: 1.186966 eta: 1 day, 1:39:14 batch_cost: 2.3573 data_cost: 0.0013 ips: 23.7559 images/s [10/22 09:57:07] ppdet.engine INFO: Epoch: [149] [ 80/261] learning_rate: 0.151089 loss_vfl: 0.703701 loss_bbox: 0.270327 loss_dfl: 0.184821 loss: 1.188911 eta: 1 day, 1:38:27 batch_cost: 2.3227 data_cost: 0.0014 ips: 24.1101 images/s [10/22 09:57:53] ppdet.engine INFO: Epoch: [149] [100/261] learning_rate: 0.150969 loss_vfl: 0.716356 loss_bbox: 0.273420 loss_dfl: 0.184187 loss: 1.186834 eta: 1 day, 1:37:37 batch_cost: 2.2069 data_cost: 0.0013 ips: 25.3749 images/s [10/22 09:58:44] ppdet.engine INFO: Epoch: [149] [120/261] learning_rate: 0.150849 loss_vfl: 0.714145 loss_bbox: 0.269736 loss_dfl: 0.182434 loss: 1.158754 eta: 1 day, 1:36:50 batch_cost: 2.3640 data_cost: 0.0014 ips: 23.6887 images/s [10/22 09:59:32] ppdet.engine INFO: Epoch: [149] [140/261] learning_rate: 0.150728 loss_vfl: 0.731708 loss_bbox: 0.266487 loss_dfl: 0.184886 loss: 1.198304 eta: 1 day, 1:36:01 batch_cost: 2.2284 data_cost: 0.0013 ips: 25.1304 images/s [10/22 10:00:20] ppdet.engine INFO: Epoch: [149] [160/261] learning_rate: 0.150608 loss_vfl: 0.726777 loss_bbox: 0.274046 loss_dfl: 0.182840 loss: 1.184752 eta: 1 day, 1:35:12 batch_cost: 2.2350 data_cost: 0.0013 ips: 25.0555 images/s [10/22 10:01:10] ppdet.engine INFO: Epoch: [149] [180/261] learning_rate: 0.150487 loss_vfl: 0.726322 loss_bbox: 0.258056 loss_dfl: 0.182882 loss: 1.159869 eta: 1 day, 1:34:26 batch_cost: 2.3737 data_cost: 0.0013 ips: 23.5915 images/s [10/22 10:01:58] ppdet.engine INFO: Epoch: [149] [200/261] learning_rate: 0.150367 loss_vfl: 0.734547 loss_bbox: 0.287657 loss_dfl: 0.196121 loss: 1.212050 eta: 1 day, 1:33:38 batch_cost: 2.3045 data_cost: 0.0013 ips: 24.2998 images/s [10/22 10:02:50] ppdet.engine INFO: Epoch: [149] [220/261] learning_rate: 0.150247 loss_vfl: 0.733941 loss_bbox: 0.276843 loss_dfl: 0.188849 loss: 1.189097 eta: 1 day, 1:32:53 batch_cost: 2.4625 data_cost: 0.0014 ips: 22.7407 images/s [10/22 10:03:38] ppdet.engine INFO: Epoch: [149] [240/261] learning_rate: 0.150126 loss_vfl: 0.720761 loss_bbox: 0.280865 loss_dfl: 0.182406 loss: 1.181434 eta: 1 day, 1:32:04 batch_cost: 2.2230 data_cost: 0.0013 ips: 25.1911 images/s [10/22 10:04:23] ppdet.engine INFO: Epoch: [149] [260/261] learning_rate: 0.150006 loss_vfl: 0.730099 loss_bbox: 0.272060 loss_dfl: 0.181850 loss: 1.176613 eta: 1 day, 1:31:12 batch_cost: 2.1101 data_cost: 0.0012 ips: 26.5392 images/s [10/22 10:04:28] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 10:04:29] ppdet.engine INFO: Eval iter: 0 [10/22 10:04:57] ppdet.engine INFO: Eval iter: 100 [10/22 10:05:13] ppdet.engine INFO: Eval iter: 200 [10/22 10:05:30] ppdet.engine INFO: Eval iter: 300 [10/22 10:05:46] ppdet.engine INFO: Eval iter: 400 [10/22 10:06:02] ppdet.engine INFO: Eval iter: 500 [10/22 10:06:18] ppdet.engine INFO: Eval iter: 600 [10/22 10:06:32] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.93s) creating index... index created! [10/22 10:06:33] 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=70.17s). Accumulating evaluation results... DONE (t=12.24s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.354 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.518 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.371 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.152 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.385 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.555 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.300 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.470 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.240 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.568 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.727 [10/22 10:08:03] ppdet.engine INFO: Total sample number: 4952, averge FPS: 43.312469015294745 [10/22 10:08:03] ppdet.engine INFO: Best test bbox ap is 0.356. [10/22 10:08:07] ppdet.engine INFO: Epoch: [150] [ 0/261] learning_rate: 0.150000 loss_vfl: 0.730099 loss_bbox: 0.270349 loss_dfl: 0.181002 loss: 1.169286 eta: 1 day, 1:31:11 batch_cost: 2.1484 data_cost: 0.0013 ips: 26.0663 images/s [10/22 10:09:01] ppdet.engine INFO: Epoch: [150] [ 20/261] learning_rate: 0.149880 loss_vfl: 0.732286 loss_bbox: 0.279374 loss_dfl: 0.184759 loss: 1.197013 eta: 1 day, 1:30:29 batch_cost: 2.5572 data_cost: 0.0014 ips: 21.8987 images/s [10/22 10:09:49] ppdet.engine INFO: Epoch: [150] [ 40/261] learning_rate: 0.149759 loss_vfl: 0.719506 loss_bbox: 0.283020 loss_dfl: 0.193292 loss: 1.206271 eta: 1 day, 1:29:39 batch_cost: 2.2300 data_cost: 0.0013 ips: 25.1120 images/s [10/22 10:10:35] ppdet.engine INFO: Epoch: [150] [ 60/261] learning_rate: 0.149639 loss_vfl: 0.713680 loss_bbox: 0.250273 loss_dfl: 0.171533 loss: 1.156622 eta: 1 day, 1:28:48 batch_cost: 2.1362 data_cost: 0.0014 ips: 26.2154 images/s [10/22 10:11:23] ppdet.engine INFO: Epoch: [150] [ 80/261] learning_rate: 0.149519 loss_vfl: 0.713927 loss_bbox: 0.253107 loss_dfl: 0.174863 loss: 1.135233 eta: 1 day, 1:28:00 batch_cost: 2.2839 data_cost: 0.0013 ips: 24.5198 images/s [10/22 10:12:11] ppdet.engine INFO: Epoch: [150] [100/261] learning_rate: 0.149398 loss_vfl: 0.717573 loss_bbox: 0.264772 loss_dfl: 0.182172 loss: 1.192227 eta: 1 day, 1:27:10 batch_cost: 2.1915 data_cost: 0.0013 ips: 25.5535 images/s [10/22 10:13:00] ppdet.engine INFO: Epoch: [150] [120/261] learning_rate: 0.149278 loss_vfl: 0.739922 loss_bbox: 0.267488 loss_dfl: 0.184643 loss: 1.183138 eta: 1 day, 1:26:23 batch_cost: 2.3596 data_cost: 0.0013 ips: 23.7328 images/s [10/22 10:13:50] ppdet.engine INFO: Epoch: [150] [140/261] learning_rate: 0.149157 loss_vfl: 0.712562 loss_bbox: 0.260127 loss_dfl: 0.175739 loss: 1.147760 eta: 1 day, 1:25:37 batch_cost: 2.3968 data_cost: 0.0013 ips: 23.3645 images/s [10/22 10:14:37] ppdet.engine INFO: Epoch: [150] [160/261] learning_rate: 0.149037 loss_vfl: 0.721848 loss_bbox: 0.268727 loss_dfl: 0.186033 loss: 1.184048 eta: 1 day, 1:24:47 batch_cost: 2.1883 data_cost: 0.0014 ips: 25.5905 images/s [10/22 10:15:26] ppdet.engine INFO: Epoch: [150] [180/261] learning_rate: 0.148917 loss_vfl: 0.715139 loss_bbox: 0.302045 loss_dfl: 0.199208 loss: 1.225440 eta: 1 day, 1:24:01 batch_cost: 2.3557 data_cost: 0.0013 ips: 23.7726 images/s [10/22 10:16:16] ppdet.engine INFO: Epoch: [150] [200/261] learning_rate: 0.148796 loss_vfl: 0.710478 loss_bbox: 0.257541 loss_dfl: 0.176173 loss: 1.140715 eta: 1 day, 1:23:13 batch_cost: 2.3383 data_cost: 0.0013 ips: 23.9487 images/s [10/22 10:17:06] ppdet.engine INFO: Epoch: [150] [220/261] learning_rate: 0.148676 loss_vfl: 0.728145 loss_bbox: 0.262184 loss_dfl: 0.180888 loss: 1.159057 eta: 1 day, 1:22:26 batch_cost: 2.3293 data_cost: 0.0014 ips: 24.0419 images/s [10/22 10:17:55] ppdet.engine INFO: Epoch: [150] [240/261] learning_rate: 0.148556 loss_vfl: 0.716010 loss_bbox: 0.255256 loss_dfl: 0.177617 loss: 1.164339 eta: 1 day, 1:21:38 batch_cost: 2.2679 data_cost: 0.0014 ips: 24.6927 images/s [10/22 10:18:38] ppdet.engine INFO: Epoch: [150] [260/261] learning_rate: 0.148435 loss_vfl: 0.735791 loss_bbox: 0.275070 loss_dfl: 0.183512 loss: 1.190514 eta: 1 day, 1:20:44 batch_cost: 2.0177 data_cost: 0.0012 ips: 27.7547 images/s [10/22 10:19:05] ppdet.engine INFO: Epoch: [151] [ 0/261] learning_rate: 0.148429 loss_vfl: 0.733382 loss_bbox: 0.280247 loss_dfl: 0.183453 loss: 1.206024 eta: 1 day, 1:21:00 batch_cost: 2.8909 data_cost: 0.3876 ips: 19.3713 images/s [10/22 10:19:58] ppdet.engine INFO: Epoch: [151] [ 20/261] learning_rate: 0.148309 loss_vfl: 0.730806 loss_bbox: 0.266178 loss_dfl: 0.187983 loss: 1.170194 eta: 1 day, 1:20:16 batch_cost: 2.4925 data_cost: 0.0013 ips: 22.4676 images/s [10/22 10:20:46] ppdet.engine INFO: Epoch: [151] [ 40/261] learning_rate: 0.148189 loss_vfl: 0.733695 loss_bbox: 0.284949 loss_dfl: 0.189959 loss: 1.198132 eta: 1 day, 1:19:27 batch_cost: 2.2454 data_cost: 0.0013 ips: 24.9397 images/s [10/22 10:21:34] ppdet.engine INFO: Epoch: [151] [ 60/261] learning_rate: 0.148068 loss_vfl: 0.720472 loss_bbox: 0.263542 loss_dfl: 0.184644 loss: 1.154721 eta: 1 day, 1:18:38 batch_cost: 2.2577 data_cost: 0.0013 ips: 24.8037 images/s [10/22 10:22:22] ppdet.engine INFO: Epoch: [151] [ 80/261] learning_rate: 0.147948 loss_vfl: 0.718492 loss_bbox: 0.279598 loss_dfl: 0.184904 loss: 1.165574 eta: 1 day, 1:17:48 batch_cost: 2.1895 data_cost: 0.0013 ips: 25.5772 images/s [10/22 10:23:11] ppdet.engine INFO: Epoch: [151] [100/261] learning_rate: 0.147827 loss_vfl: 0.703169 loss_bbox: 0.267605 loss_dfl: 0.176397 loss: 1.156468 eta: 1 day, 1:17:00 batch_cost: 2.2847 data_cost: 0.0013 ips: 24.5106 images/s [10/22 10:24:03] ppdet.engine INFO: Epoch: [151] [120/261] learning_rate: 0.147707 loss_vfl: 0.713759 loss_bbox: 0.258303 loss_dfl: 0.173200 loss: 1.147480 eta: 1 day, 1:16:14 batch_cost: 2.3960 data_cost: 0.0012 ips: 23.3727 images/s [10/22 10:24:52] ppdet.engine INFO: Epoch: [151] [140/261] learning_rate: 0.147587 loss_vfl: 0.715490 loss_bbox: 0.263330 loss_dfl: 0.179954 loss: 1.138520 eta: 1 day, 1:15:28 batch_cost: 2.3645 data_cost: 0.0014 ips: 23.6834 images/s [10/22 10:25:41] ppdet.engine INFO: Epoch: [151] [160/261] learning_rate: 0.147466 loss_vfl: 0.726604 loss_bbox: 0.267345 loss_dfl: 0.182864 loss: 1.182120 eta: 1 day, 1:14:40 batch_cost: 2.3112 data_cost: 0.0013 ips: 24.2297 images/s [10/22 10:26:31] ppdet.engine INFO: Epoch: [151] [180/261] learning_rate: 0.147346 loss_vfl: 0.721683 loss_bbox: 0.273582 loss_dfl: 0.187418 loss: 1.197232 eta: 1 day, 1:13:55 batch_cost: 2.4234 data_cost: 0.0014 ips: 23.1080 images/s [10/22 10:27:21] ppdet.engine INFO: Epoch: [151] [200/261] learning_rate: 0.147226 loss_vfl: 0.729484 loss_bbox: 0.274902 loss_dfl: 0.186040 loss: 1.175522 eta: 1 day, 1:13:07 batch_cost: 2.3078 data_cost: 0.0014 ips: 24.2659 images/s [10/22 10:28:07] ppdet.engine INFO: Epoch: [151] [220/261] learning_rate: 0.147105 loss_vfl: 0.711083 loss_bbox: 0.274723 loss_dfl: 0.183770 loss: 1.186139 eta: 1 day, 1:12:17 batch_cost: 2.2052 data_cost: 0.0013 ips: 25.3948 images/s [10/22 10:28:55] ppdet.engine INFO: Epoch: [151] [240/261] learning_rate: 0.146985 loss_vfl: 0.705149 loss_bbox: 0.270913 loss_dfl: 0.185572 loss: 1.171807 eta: 1 day, 1:11:28 batch_cost: 2.2361 data_cost: 0.0030 ips: 25.0441 images/s [10/22 10:29:38] ppdet.engine INFO: Epoch: [151] [260/261] learning_rate: 0.146865 loss_vfl: 0.714708 loss_bbox: 0.283856 loss_dfl: 0.191345 loss: 1.185283 eta: 1 day, 1:10:35 batch_cost: 2.0165 data_cost: 0.0012 ips: 27.7716 images/s [10/22 10:30:02] ppdet.engine INFO: Epoch: [152] [ 0/261] learning_rate: 0.146859 loss_vfl: 0.710003 loss_bbox: 0.271909 loss_dfl: 0.186145 loss: 1.178243 eta: 1 day, 1:10:48 batch_cost: 2.8076 data_cost: 0.3636 ips: 19.9455 images/s [10/22 10:30:55] ppdet.engine INFO: Epoch: [152] [ 20/261] learning_rate: 0.146738 loss_vfl: 0.722557 loss_bbox: 0.248847 loss_dfl: 0.177067 loss: 1.148070 eta: 1 day, 1:10:06 batch_cost: 2.5888 data_cost: 0.0013 ips: 21.6317 images/s [10/22 10:31:44] ppdet.engine INFO: Epoch: [152] [ 40/261] learning_rate: 0.146618 loss_vfl: 0.690190 loss_bbox: 0.287481 loss_dfl: 0.189560 loss: 1.169664 eta: 1 day, 1:09:18 batch_cost: 2.2776 data_cost: 0.0013 ips: 24.5871 images/s [10/22 10:32:33] ppdet.engine INFO: Epoch: [152] [ 60/261] learning_rate: 0.146498 loss_vfl: 0.709479 loss_bbox: 0.276874 loss_dfl: 0.183861 loss: 1.187838 eta: 1 day, 1:08:30 batch_cost: 2.2928 data_cost: 0.0013 ips: 24.4247 images/s [10/22 10:33:22] ppdet.engine INFO: Epoch: [152] [ 80/261] learning_rate: 0.146377 loss_vfl: 0.722178 loss_bbox: 0.274402 loss_dfl: 0.189139 loss: 1.170520 eta: 1 day, 1:07:42 batch_cost: 2.3030 data_cost: 0.0013 ips: 24.3158 images/s [10/22 10:34:12] ppdet.engine INFO: Epoch: [152] [100/261] learning_rate: 0.146257 loss_vfl: 0.724210 loss_bbox: 0.271886 loss_dfl: 0.178748 loss: 1.168959 eta: 1 day, 1:06:55 batch_cost: 2.3367 data_cost: 0.0013 ips: 23.9657 images/s [10/22 10:35:00] ppdet.engine INFO: Epoch: [152] [120/261] learning_rate: 0.146137 loss_vfl: 0.722660 loss_bbox: 0.257943 loss_dfl: 0.180501 loss: 1.166823 eta: 1 day, 1:06:06 batch_cost: 2.2318 data_cost: 0.0014 ips: 25.0913 images/s [10/22 10:35:47] ppdet.engine INFO: Epoch: [152] [140/261] learning_rate: 0.146016 loss_vfl: 0.728312 loss_bbox: 0.255275 loss_dfl: 0.172381 loss: 1.158074 eta: 1 day, 1:05:17 batch_cost: 2.2464 data_cost: 0.0014 ips: 24.9292 images/s [10/22 10:36:39] ppdet.engine INFO: Epoch: [152] [160/261] learning_rate: 0.145896 loss_vfl: 0.711715 loss_bbox: 0.256085 loss_dfl: 0.173857 loss: 1.139103 eta: 1 day, 1:04:32 batch_cost: 2.4442 data_cost: 0.0013 ips: 22.9116 images/s [10/22 10:37:28] ppdet.engine INFO: Epoch: [152] [180/261] learning_rate: 0.145776 loss_vfl: 0.716336 loss_bbox: 0.242304 loss_dfl: 0.168878 loss: 1.132722 eta: 1 day, 1:03:45 batch_cost: 2.3396 data_cost: 0.0013 ips: 23.9358 images/s [10/22 10:38:16] ppdet.engine INFO: Epoch: [152] [200/261] learning_rate: 0.145655 loss_vfl: 0.713314 loss_bbox: 0.271038 loss_dfl: 0.185343 loss: 1.172920 eta: 1 day, 1:02:56 batch_cost: 2.2396 data_cost: 0.0014 ips: 25.0043 images/s [10/22 10:39:03] ppdet.engine INFO: Epoch: [152] [220/261] learning_rate: 0.145535 loss_vfl: 0.738110 loss_bbox: 0.272908 loss_dfl: 0.191533 loss: 1.190596 eta: 1 day, 1:02:06 batch_cost: 2.2029 data_cost: 0.0014 ips: 25.4207 images/s [10/22 10:39:52] ppdet.engine INFO: Epoch: [152] [240/261] learning_rate: 0.145415 loss_vfl: 0.717291 loss_bbox: 0.270882 loss_dfl: 0.187090 loss: 1.199679 eta: 1 day, 1:01:18 batch_cost: 2.2890 data_cost: 0.0013 ips: 24.4643 images/s [10/22 10:40:35] ppdet.engine INFO: Epoch: [152] [260/261] learning_rate: 0.145294 loss_vfl: 0.720853 loss_bbox: 0.276116 loss_dfl: 0.184725 loss: 1.184395 eta: 1 day, 1:00:25 batch_cost: 2.0484 data_cost: 0.0012 ips: 27.3389 images/s [10/22 10:40:57] ppdet.engine INFO: Epoch: [153] [ 0/261] learning_rate: 0.145288 loss_vfl: 0.718806 loss_bbox: 0.269344 loss_dfl: 0.184725 loss: 1.170305 eta: 1 day, 1:00:36 batch_cost: 2.7158 data_cost: 0.3780 ips: 20.6197 images/s [10/22 10:41:51] ppdet.engine INFO: Epoch: [153] [ 20/261] learning_rate: 0.145168 loss_vfl: 0.717067 loss_bbox: 0.266342 loss_dfl: 0.185099 loss: 1.170660 eta: 1 day, 0:59:52 batch_cost: 2.5422 data_cost: 0.0013 ips: 22.0283 images/s [10/22 10:42:42] ppdet.engine INFO: Epoch: [153] [ 40/261] learning_rate: 0.145048 loss_vfl: 0.725439 loss_bbox: 0.272741 loss_dfl: 0.183801 loss: 1.193685 eta: 1 day, 0:59:08 batch_cost: 2.4538 data_cost: 0.0013 ips: 22.8221 images/s [10/22 10:43:31] ppdet.engine INFO: Epoch: [153] [ 60/261] learning_rate: 0.144927 loss_vfl: 0.713148 loss_bbox: 0.263747 loss_dfl: 0.185439 loss: 1.173197 eta: 1 day, 0:58:19 batch_cost: 2.2469 data_cost: 0.0012 ips: 24.9233 images/s [10/22 10:44:21] ppdet.engine INFO: Epoch: [153] [ 80/261] learning_rate: 0.144807 loss_vfl: 0.726273 loss_bbox: 0.275827 loss_dfl: 0.179965 loss: 1.175681 eta: 1 day, 0:57:31 batch_cost: 2.3133 data_cost: 0.0014 ips: 24.2075 images/s [10/22 10:45:10] ppdet.engine INFO: Epoch: [153] [100/261] learning_rate: 0.144687 loss_vfl: 0.722109 loss_bbox: 0.255616 loss_dfl: 0.178755 loss: 1.158459 eta: 1 day, 0:56:44 batch_cost: 2.3131 data_cost: 0.0013 ips: 24.2097 images/s [10/22 10:46:00] ppdet.engine INFO: Epoch: [153] [120/261] learning_rate: 0.144567 loss_vfl: 0.735261 loss_bbox: 0.274297 loss_dfl: 0.187210 loss: 1.198694 eta: 1 day, 0:55:56 batch_cost: 2.2939 data_cost: 0.0013 ips: 24.4125 images/s [10/22 10:46:50] ppdet.engine INFO: Epoch: [153] [140/261] learning_rate: 0.144446 loss_vfl: 0.709906 loss_bbox: 0.287571 loss_dfl: 0.193913 loss: 1.190271 eta: 1 day, 0:55:08 batch_cost: 2.3222 data_cost: 0.0013 ips: 24.1149 images/s [10/22 10:47:38] ppdet.engine INFO: Epoch: [153] [160/261] learning_rate: 0.144326 loss_vfl: 0.725162 loss_bbox: 0.274481 loss_dfl: 0.191313 loss: 1.192939 eta: 1 day, 0:54:20 batch_cost: 2.3057 data_cost: 0.0013 ips: 24.2876 images/s [10/22 10:48:29] ppdet.engine INFO: Epoch: [153] [180/261] learning_rate: 0.144206 loss_vfl: 0.720601 loss_bbox: 0.269120 loss_dfl: 0.183516 loss: 1.186403 eta: 1 day, 0:53:34 batch_cost: 2.3814 data_cost: 0.0013 ips: 23.5159 images/s [10/22 10:49:19] ppdet.engine INFO: Epoch: [153] [200/261] learning_rate: 0.144085 loss_vfl: 0.722374 loss_bbox: 0.253892 loss_dfl: 0.177672 loss: 1.187879 eta: 1 day, 0:52:47 batch_cost: 2.3449 data_cost: 0.0013 ips: 23.8818 images/s [10/22 10:50:08] ppdet.engine INFO: Epoch: [153] [220/261] learning_rate: 0.143965 loss_vfl: 0.750476 loss_bbox: 0.263255 loss_dfl: 0.177521 loss: 1.159277 eta: 1 day, 0:51:59 batch_cost: 2.2808 data_cost: 0.0014 ips: 24.5526 images/s [10/22 10:50:55] ppdet.engine INFO: Epoch: [153] [240/261] learning_rate: 0.143845 loss_vfl: 0.715796 loss_bbox: 0.277744 loss_dfl: 0.183037 loss: 1.179236 eta: 1 day, 0:51:10 batch_cost: 2.2149 data_cost: 0.0013 ips: 25.2837 images/s [10/22 10:51:38] ppdet.engine INFO: Epoch: [153] [260/261] learning_rate: 0.143725 loss_vfl: 0.740189 loss_bbox: 0.278381 loss_dfl: 0.185483 loss: 1.192929 eta: 1 day, 0:50:17 batch_cost: 2.0673 data_cost: 0.0012 ips: 27.0879 images/s [10/22 10:52:01] ppdet.engine INFO: Epoch: [154] [ 0/261] learning_rate: 0.143719 loss_vfl: 0.741400 loss_bbox: 0.275767 loss_dfl: 0.184063 loss: 1.196869 eta: 1 day, 0:50:29 batch_cost: 2.8008 data_cost: 0.3695 ips: 19.9942 images/s [10/22 10:53:01] ppdet.engine INFO: Epoch: [154] [ 20/261] learning_rate: 0.143598 loss_vfl: 0.716546 loss_bbox: 0.269585 loss_dfl: 0.183727 loss: 1.198182 eta: 1 day, 0:49:50 batch_cost: 2.7736 data_cost: 0.0013 ips: 20.1907 images/s [10/22 10:53:49] ppdet.engine INFO: Epoch: [154] [ 40/261] learning_rate: 0.143478 loss_vfl: 0.717157 loss_bbox: 0.261770 loss_dfl: 0.181154 loss: 1.163668 eta: 1 day, 0:49:02 batch_cost: 2.2552 data_cost: 0.0014 ips: 24.8311 images/s [10/22 10:54:39] ppdet.engine INFO: Epoch: [154] [ 60/261] learning_rate: 0.143358 loss_vfl: 0.721563 loss_bbox: 0.288801 loss_dfl: 0.186580 loss: 1.190572 eta: 1 day, 0:48:14 batch_cost: 2.3324 data_cost: 0.0014 ips: 24.0093 images/s [10/22 10:55:27] ppdet.engine INFO: Epoch: [154] [ 80/261] learning_rate: 0.143238 loss_vfl: 0.711362 loss_bbox: 0.272545 loss_dfl: 0.192130 loss: 1.180222 eta: 1 day, 0:47:25 batch_cost: 2.2356 data_cost: 0.0013 ips: 25.0493 images/s [10/22 10:56:15] ppdet.engine INFO: Epoch: [154] [100/261] learning_rate: 0.143117 loss_vfl: 0.714123 loss_bbox: 0.259203 loss_dfl: 0.178993 loss: 1.142104 eta: 1 day, 0:46:38 batch_cost: 2.3439 data_cost: 0.0014 ips: 23.8916 images/s [10/22 10:57:03] ppdet.engine INFO: Epoch: [154] [120/261] learning_rate: 0.142997 loss_vfl: 0.708401 loss_bbox: 0.283005 loss_dfl: 0.187836 loss: 1.182351 eta: 1 day, 0:45:49 batch_cost: 2.2270 data_cost: 0.0014 ips: 25.1459 images/s [10/22 10:57:53] ppdet.engine INFO: Epoch: [154] [140/261] learning_rate: 0.142877 loss_vfl: 0.719257 loss_bbox: 0.253973 loss_dfl: 0.184201 loss: 1.162326 eta: 1 day, 0:45:02 batch_cost: 2.3363 data_cost: 0.0013 ips: 23.9698 images/s [10/22 10:58:41] ppdet.engine INFO: Epoch: [154] [160/261] learning_rate: 0.142757 loss_vfl: 0.720536 loss_bbox: 0.278018 loss_dfl: 0.185885 loss: 1.175793 eta: 1 day, 0:44:14 batch_cost: 2.2776 data_cost: 0.0014 ips: 24.5878 images/s [10/22 10:59:30] ppdet.engine INFO: Epoch: [154] [180/261] learning_rate: 0.142636 loss_vfl: 0.717657 loss_bbox: 0.278661 loss_dfl: 0.190850 loss: 1.167964 eta: 1 day, 0:43:25 batch_cost: 2.2693 data_cost: 0.0014 ips: 24.6774 images/s [10/22 11:00:18] ppdet.engine INFO: Epoch: [154] [200/261] learning_rate: 0.142516 loss_vfl: 0.723306 loss_bbox: 0.274999 loss_dfl: 0.189286 loss: 1.198236 eta: 1 day, 0:42:37 batch_cost: 2.2666 data_cost: 0.0014 ips: 24.7066 images/s [10/22 11:01:07] ppdet.engine INFO: Epoch: [154] [220/261] learning_rate: 0.142396 loss_vfl: 0.721694 loss_bbox: 0.264934 loss_dfl: 0.182414 loss: 1.176272 eta: 1 day, 0:41:50 batch_cost: 2.3300 data_cost: 0.0014 ips: 24.0345 images/s [10/22 11:01:57] ppdet.engine INFO: Epoch: [154] [240/261] learning_rate: 0.142276 loss_vfl: 0.725522 loss_bbox: 0.254934 loss_dfl: 0.178974 loss: 1.156816 eta: 1 day, 0:41:03 batch_cost: 2.3546 data_cost: 0.0014 ips: 23.7832 images/s [10/22 11:02:40] ppdet.engine INFO: Epoch: [154] [260/261] learning_rate: 0.142156 loss_vfl: 0.726821 loss_bbox: 0.265323 loss_dfl: 0.182849 loss: 1.181437 eta: 1 day, 0:40:11 batch_cost: 2.0792 data_cost: 0.0012 ips: 26.9337 images/s [10/22 11:03:00] ppdet.engine INFO: Epoch: [155] [ 0/261] learning_rate: 0.142150 loss_vfl: 0.726821 loss_bbox: 0.265323 loss_dfl: 0.182849 loss: 1.181437 eta: 1 day, 0:40:19 batch_cost: 2.6898 data_cost: 0.3659 ips: 20.8190 images/s [10/22 11:04:00] ppdet.engine INFO: Epoch: [155] [ 20/261] learning_rate: 0.142029 loss_vfl: 0.710016 loss_bbox: 0.260431 loss_dfl: 0.172256 loss: 1.150401 eta: 1 day, 0:39:43 batch_cost: 2.9165 data_cost: 0.0013 ips: 19.2012 images/s [10/22 11:04:49] ppdet.engine INFO: Epoch: [155] [ 40/261] learning_rate: 0.141909 loss_vfl: 0.707885 loss_bbox: 0.280270 loss_dfl: 0.195967 loss: 1.199255 eta: 1 day, 0:38:56 batch_cost: 2.3138 data_cost: 0.0014 ips: 24.2028 images/s [10/22 11:05:38] ppdet.engine INFO: Epoch: [155] [ 60/261] learning_rate: 0.141789 loss_vfl: 0.722958 loss_bbox: 0.256445 loss_dfl: 0.176118 loss: 1.160632 eta: 1 day, 0:38:07 batch_cost: 2.2582 data_cost: 0.0013 ips: 24.7983 images/s [10/22 11:06:27] ppdet.engine INFO: Epoch: [155] [ 80/261] learning_rate: 0.141669 loss_vfl: 0.722614 loss_bbox: 0.275309 loss_dfl: 0.182181 loss: 1.162347 eta: 1 day, 0:37:19 batch_cost: 2.3211 data_cost: 0.0013 ips: 24.1266 images/s [10/22 11:07:12] ppdet.engine INFO: Epoch: [155] [100/261] learning_rate: 0.141549 loss_vfl: 0.725375 loss_bbox: 0.265331 loss_dfl: 0.184576 loss: 1.169173 eta: 1 day, 0:36:28 batch_cost: 2.1133 data_cost: 0.0013 ips: 26.4995 images/s [10/22 11:07:59] ppdet.engine INFO: Epoch: [155] [120/261] learning_rate: 0.141428 loss_vfl: 0.726832 loss_bbox: 0.288301 loss_dfl: 0.184666 loss: 1.186112 eta: 1 day, 0:35:39 batch_cost: 2.2046 data_cost: 0.0014 ips: 25.4018 images/s [10/22 11:08:50] ppdet.engine INFO: Epoch: [155] [140/261] learning_rate: 0.141308 loss_vfl: 0.707612 loss_bbox: 0.261054 loss_dfl: 0.185124 loss: 1.154904 eta: 1 day, 0:34:52 batch_cost: 2.3843 data_cost: 0.0013 ips: 23.4867 images/s [10/22 11:09:39] ppdet.engine INFO: Epoch: [155] [160/261] learning_rate: 0.141188 loss_vfl: 0.710378 loss_bbox: 0.275369 loss_dfl: 0.186048 loss: 1.164847 eta: 1 day, 0:34:05 batch_cost: 2.3293 data_cost: 0.0014 ips: 24.0412 images/s [10/22 11:10:29] ppdet.engine INFO: Epoch: [155] [180/261] learning_rate: 0.141068 loss_vfl: 0.709916 loss_bbox: 0.285553 loss_dfl: 0.181883 loss: 1.179485 eta: 1 day, 0:33:19 batch_cost: 2.3655 data_cost: 0.0013 ips: 23.6732 images/s [10/22 11:11:17] ppdet.engine INFO: Epoch: [155] [200/261] learning_rate: 0.140948 loss_vfl: 0.725847 loss_bbox: 0.264083 loss_dfl: 0.181836 loss: 1.161365 eta: 1 day, 0:32:31 batch_cost: 2.3116 data_cost: 0.0013 ips: 24.2259 images/s [10/22 11:12:06] ppdet.engine INFO: Epoch: [155] [220/261] learning_rate: 0.140828 loss_vfl: 0.718350 loss_bbox: 0.261058 loss_dfl: 0.185630 loss: 1.172199 eta: 1 day, 0:31:43 batch_cost: 2.2952 data_cost: 0.0013 ips: 24.3983 images/s [10/22 11:12:55] ppdet.engine INFO: Epoch: [155] [240/261] learning_rate: 0.140708 loss_vfl: 0.705887 loss_bbox: 0.268130 loss_dfl: 0.185524 loss: 1.160885 eta: 1 day, 0:30:56 batch_cost: 2.3222 data_cost: 0.0014 ips: 24.1147 images/s [10/22 11:13:39] ppdet.engine INFO: Epoch: [155] [260/261] learning_rate: 0.140587 loss_vfl: 0.721563 loss_bbox: 0.263707 loss_dfl: 0.178426 loss: 1.154839 eta: 1 day, 0:30:04 batch_cost: 2.0707 data_cost: 0.0012 ips: 27.0436 images/s [10/22 11:14:00] ppdet.engine INFO: Epoch: [156] [ 0/261] learning_rate: 0.140581 loss_vfl: 0.717843 loss_bbox: 0.274168 loss_dfl: 0.180393 loss: 1.156586 eta: 1 day, 0:30:13 batch_cost: 2.7254 data_cost: 0.3909 ips: 20.5478 images/s [10/22 11:14:58] ppdet.engine INFO: Epoch: [156] [ 20/261] learning_rate: 0.140461 loss_vfl: 0.708777 loss_bbox: 0.271663 loss_dfl: 0.188738 loss: 1.183601 eta: 1 day, 0:29:34 batch_cost: 2.7864 data_cost: 0.0013 ips: 20.0977 images/s [10/22 11:15:50] ppdet.engine INFO: Epoch: [156] [ 40/261] learning_rate: 0.140341 loss_vfl: 0.714737 loss_bbox: 0.272082 loss_dfl: 0.183396 loss: 1.163276 eta: 1 day, 0:28:49 batch_cost: 2.4440 data_cost: 0.0013 ips: 22.9133 images/s [10/22 11:16:40] ppdet.engine INFO: Epoch: [156] [ 60/261] learning_rate: 0.140221 loss_vfl: 0.726545 loss_bbox: 0.267461 loss_dfl: 0.185022 loss: 1.168811 eta: 1 day, 0:28:02 batch_cost: 2.3425 data_cost: 0.0024 ips: 23.9058 images/s [10/22 11:17:30] ppdet.engine INFO: Epoch: [156] [ 80/261] learning_rate: 0.140101 loss_vfl: 0.739516 loss_bbox: 0.253010 loss_dfl: 0.183790 loss: 1.170151 eta: 1 day, 0:27:15 batch_cost: 2.3213 data_cost: 0.0014 ips: 24.1241 images/s [10/22 11:18:17] ppdet.engine INFO: Epoch: [156] [100/261] learning_rate: 0.139981 loss_vfl: 0.722464 loss_bbox: 0.283479 loss_dfl: 0.184792 loss: 1.195573 eta: 1 day, 0:26:26 batch_cost: 2.2283 data_cost: 0.0013 ips: 25.1314 images/s [10/22 11:19:05] ppdet.engine INFO: Epoch: [156] [120/261] learning_rate: 0.139861 loss_vfl: 0.730550 loss_bbox: 0.282748 loss_dfl: 0.186185 loss: 1.198230 eta: 1 day, 0:25:37 batch_cost: 2.2448 data_cost: 0.0014 ips: 24.9463 images/s [10/22 11:19:52] ppdet.engine INFO: Epoch: [156] [140/261] learning_rate: 0.139741 loss_vfl: 0.732917 loss_bbox: 0.256221 loss_dfl: 0.177621 loss: 1.162409 eta: 1 day, 0:24:47 batch_cost: 2.1880 data_cost: 0.0014 ips: 25.5942 images/s [10/22 11:20:41] ppdet.engine INFO: Epoch: [156] [160/261] learning_rate: 0.139621 loss_vfl: 0.722378 loss_bbox: 0.272599 loss_dfl: 0.188529 loss: 1.168044 eta: 1 day, 0:23:58 batch_cost: 2.2536 data_cost: 0.0014 ips: 24.8496 images/s [10/22 11:21:30] ppdet.engine INFO: Epoch: [156] [180/261] learning_rate: 0.139501 loss_vfl: 0.718297 loss_bbox: 0.284856 loss_dfl: 0.186425 loss: 1.203881 eta: 1 day, 0:23:11 batch_cost: 2.3030 data_cost: 0.0013 ips: 24.3159 images/s [10/22 11:22:20] ppdet.engine INFO: Epoch: [156] [200/261] learning_rate: 0.139380 loss_vfl: 0.723012 loss_bbox: 0.260135 loss_dfl: 0.175874 loss: 1.149340 eta: 1 day, 0:22:23 batch_cost: 2.3259 data_cost: 0.0014 ips: 24.0771 images/s [10/22 11:23:08] ppdet.engine INFO: Epoch: [156] [220/261] learning_rate: 0.139260 loss_vfl: 0.723975 loss_bbox: 0.252187 loss_dfl: 0.173565 loss: 1.167341 eta: 1 day, 0:21:36 batch_cost: 2.3106 data_cost: 0.0014 ips: 24.2361 images/s [10/22 11:23:55] ppdet.engine INFO: Epoch: [156] [240/261] learning_rate: 0.139140 loss_vfl: 0.715833 loss_bbox: 0.270712 loss_dfl: 0.183386 loss: 1.183125 eta: 1 day, 0:20:46 batch_cost: 2.2172 data_cost: 0.0014 ips: 25.2576 images/s [10/22 11:24:39] ppdet.engine INFO: Epoch: [156] [260/261] learning_rate: 0.139020 loss_vfl: 0.705923 loss_bbox: 0.268924 loss_dfl: 0.182768 loss: 1.158373 eta: 1 day, 0:19:54 batch_cost: 2.0411 data_cost: 0.0014 ips: 27.4358 images/s [10/22 11:24:58] ppdet.engine INFO: Epoch: [157] [ 0/261] learning_rate: 0.139014 loss_vfl: 0.705923 loss_bbox: 0.260279 loss_dfl: 0.181897 loss: 1.146917 eta: 1 day, 0:20:02 batch_cost: 2.6433 data_cost: 0.2555 ips: 21.1859 images/s [10/22 11:25:55] ppdet.engine INFO: Epoch: [157] [ 20/261] learning_rate: 0.138894 loss_vfl: 0.716442 loss_bbox: 0.266884 loss_dfl: 0.181738 loss: 1.176350 eta: 1 day, 0:19:21 batch_cost: 2.6759 data_cost: 0.0013 ips: 20.9277 images/s [10/22 11:26:44] ppdet.engine INFO: Epoch: [157] [ 40/261] learning_rate: 0.138774 loss_vfl: 0.702370 loss_bbox: 0.274950 loss_dfl: 0.185564 loss: 1.167167 eta: 1 day, 0:18:34 batch_cost: 2.3583 data_cost: 0.0013 ips: 23.7456 images/s [10/22 11:27:33] ppdet.engine INFO: Epoch: [157] [ 60/261] learning_rate: 0.138654 loss_vfl: 0.724186 loss_bbox: 0.271606 loss_dfl: 0.179545 loss: 1.160142 eta: 1 day, 0:17:46 batch_cost: 2.2886 data_cost: 0.0014 ips: 24.4692 images/s [10/22 11:28:22] ppdet.engine INFO: Epoch: [157] [ 80/261] learning_rate: 0.138534 loss_vfl: 0.701900 loss_bbox: 0.269880 loss_dfl: 0.179425 loss: 1.172111 eta: 1 day, 0:17:00 batch_cost: 2.3762 data_cost: 0.0013 ips: 23.5672 images/s [10/22 11:29:11] ppdet.engine INFO: Epoch: [157] [100/261] learning_rate: 0.138414 loss_vfl: 0.716651 loss_bbox: 0.262969 loss_dfl: 0.179707 loss: 1.165791 eta: 1 day, 0:16:13 batch_cost: 2.3212 data_cost: 0.0013 ips: 24.1253 images/s [10/22 11:29:58] ppdet.engine INFO: Epoch: [157] [120/261] learning_rate: 0.138294 loss_vfl: 0.718417 loss_bbox: 0.252441 loss_dfl: 0.171527 loss: 1.152442 eta: 1 day, 0:15:24 batch_cost: 2.2554 data_cost: 0.0013 ips: 24.8289 images/s [10/22 11:30:45] ppdet.engine INFO: Epoch: [157] [140/261] learning_rate: 0.138174 loss_vfl: 0.721965 loss_bbox: 0.272203 loss_dfl: 0.183109 loss: 1.161291 eta: 1 day, 0:14:33 batch_cost: 2.1362 data_cost: 0.0013 ips: 26.2150 images/s [10/22 11:31:34] ppdet.engine INFO: Epoch: [157] [160/261] learning_rate: 0.138054 loss_vfl: 0.719051 loss_bbox: 0.261343 loss_dfl: 0.172139 loss: 1.165191 eta: 1 day, 0:13:45 batch_cost: 2.2845 data_cost: 0.0013 ips: 24.5132 images/s [10/22 11:32:22] ppdet.engine INFO: Epoch: [157] [180/261] learning_rate: 0.137934 loss_vfl: 0.703677 loss_bbox: 0.279602 loss_dfl: 0.183516 loss: 1.174211 eta: 1 day, 0:12:57 batch_cost: 2.2709 data_cost: 0.0013 ips: 24.6597 images/s [10/22 11:33:11] ppdet.engine INFO: Epoch: [157] [200/261] learning_rate: 0.137814 loss_vfl: 0.725691 loss_bbox: 0.267481 loss_dfl: 0.191925 loss: 1.197649 eta: 1 day, 0:12:08 batch_cost: 2.2610 data_cost: 0.0013 ips: 24.7678 images/s [10/22 11:34:00] ppdet.engine INFO: Epoch: [157] [220/261] learning_rate: 0.137694 loss_vfl: 0.726180 loss_bbox: 0.280439 loss_dfl: 0.187728 loss: 1.203367 eta: 1 day, 0:11:21 batch_cost: 2.3345 data_cost: 0.0014 ips: 23.9876 images/s [10/22 11:34:47] ppdet.engine INFO: Epoch: [157] [240/261] learning_rate: 0.137574 loss_vfl: 0.714652 loss_bbox: 0.270875 loss_dfl: 0.186702 loss: 1.151354 eta: 1 day, 0:10:31 batch_cost: 2.1944 data_cost: 0.0014 ips: 25.5192 images/s [10/22 11:35:28] ppdet.engine INFO: Epoch: [157] [260/261] learning_rate: 0.137454 loss_vfl: 0.721623 loss_bbox: 0.277934 loss_dfl: 0.188715 loss: 1.179710 eta: 1 day, 0:09:38 batch_cost: 1.9639 data_cost: 0.0013 ips: 28.5154 images/s [10/22 11:35:53] ppdet.engine INFO: Epoch: [158] [ 0/261] learning_rate: 0.137448 loss_vfl: 0.721623 loss_bbox: 0.280434 loss_dfl: 0.188883 loss: 1.195611 eta: 1 day, 0:09:51 batch_cost: 2.8180 data_cost: 0.4471 ips: 19.8726 images/s [10/22 11:36:42] ppdet.engine INFO: Epoch: [158] [ 20/261] learning_rate: 0.137328 loss_vfl: 0.713757 loss_bbox: 0.271710 loss_dfl: 0.180739 loss: 1.166590 eta: 1 day, 0:09:03 batch_cost: 2.3181 data_cost: 0.0013 ips: 24.1579 images/s [10/22 11:37:31] ppdet.engine INFO: Epoch: [158] [ 40/261] learning_rate: 0.137208 loss_vfl: 0.711862 loss_bbox: 0.260488 loss_dfl: 0.183588 loss: 1.172400 eta: 1 day, 0:08:14 batch_cost: 2.2298 data_cost: 0.0013 ips: 25.1148 images/s [10/22 11:38:20] ppdet.engine INFO: Epoch: [158] [ 60/261] learning_rate: 0.137089 loss_vfl: 0.712383 loss_bbox: 0.283769 loss_dfl: 0.188782 loss: 1.199492 eta: 1 day, 0:07:26 batch_cost: 2.3048 data_cost: 0.0014 ips: 24.2974 images/s [10/22 11:39:08] ppdet.engine INFO: Epoch: [158] [ 80/261] learning_rate: 0.136969 loss_vfl: 0.708892 loss_bbox: 0.267515 loss_dfl: 0.186315 loss: 1.161562 eta: 1 day, 0:06:38 batch_cost: 2.2780 data_cost: 0.0014 ips: 24.5832 images/s [10/22 11:39:59] ppdet.engine INFO: Epoch: [158] [100/261] learning_rate: 0.136849 loss_vfl: 0.720434 loss_bbox: 0.260271 loss_dfl: 0.181588 loss: 1.162364 eta: 1 day, 0:05:52 batch_cost: 2.3750 data_cost: 0.0013 ips: 23.5787 images/s [10/22 11:40:48] ppdet.engine INFO: Epoch: [158] [120/261] learning_rate: 0.136729 loss_vfl: 0.723217 loss_bbox: 0.260708 loss_dfl: 0.181425 loss: 1.166494 eta: 1 day, 0:05:03 batch_cost: 2.2728 data_cost: 0.0013 ips: 24.6391 images/s [10/22 11:41:39] ppdet.engine INFO: Epoch: [158] [140/261] learning_rate: 0.136609 loss_vfl: 0.712669 loss_bbox: 0.250613 loss_dfl: 0.179237 loss: 1.146248 eta: 1 day, 0:04:17 batch_cost: 2.3799 data_cost: 0.0013 ips: 23.5305 images/s [10/22 11:42:29] ppdet.engine INFO: Epoch: [158] [160/261] learning_rate: 0.136489 loss_vfl: 0.707404 loss_bbox: 0.283723 loss_dfl: 0.192981 loss: 1.192548 eta: 1 day, 0:03:30 batch_cost: 2.3364 data_cost: 0.0013 ips: 23.9688 images/s [10/22 11:43:16] ppdet.engine INFO: Epoch: [158] [180/261] learning_rate: 0.136369 loss_vfl: 0.718514 loss_bbox: 0.278678 loss_dfl: 0.191866 loss: 1.210111 eta: 1 day, 0:02:41 batch_cost: 2.2372 data_cost: 0.0013 ips: 25.0308 images/s [10/22 11:44:06] ppdet.engine INFO: Epoch: [158] [200/261] learning_rate: 0.136249 loss_vfl: 0.698069 loss_bbox: 0.245781 loss_dfl: 0.170717 loss: 1.114770 eta: 1 day, 0:01:54 batch_cost: 2.3529 data_cost: 0.0014 ips: 23.8005 images/s [10/22 11:44:52] ppdet.engine INFO: Epoch: [158] [220/261] learning_rate: 0.136129 loss_vfl: 0.722839 loss_bbox: 0.264536 loss_dfl: 0.182571 loss: 1.174963 eta: 1 day, 0:01:04 batch_cost: 2.1616 data_cost: 0.0015 ips: 25.9072 images/s [10/22 11:45:42] ppdet.engine INFO: Epoch: [158] [240/261] learning_rate: 0.136010 loss_vfl: 0.701543 loss_bbox: 0.276504 loss_dfl: 0.184056 loss: 1.170724 eta: 1 day, 0:00:17 batch_cost: 2.3479 data_cost: 0.0013 ips: 23.8512 images/s [10/22 11:46:23] ppdet.engine INFO: Epoch: [158] [260/261] learning_rate: 0.135890 loss_vfl: 0.709560 loss_bbox: 0.276704 loss_dfl: 0.190035 loss: 1.164477 eta: 23:59:22 batch_cost: 1.9060 data_cost: 0.0015 ips: 29.3807 images/s [10/22 11:46:46] ppdet.engine INFO: Epoch: [159] [ 0/261] learning_rate: 0.135884 loss_vfl: 0.711538 loss_bbox: 0.276704 loss_dfl: 0.190035 loss: 1.164477 eta: 23:59:33 batch_cost: 2.6636 data_cost: 0.4932 ips: 21.0240 images/s [10/22 11:47:41] ppdet.engine INFO: Epoch: [159] [ 20/261] learning_rate: 0.135764 loss_vfl: 0.710748 loss_bbox: 0.277743 loss_dfl: 0.187968 loss: 1.173853 eta: 23:58:52 batch_cost: 2.6544 data_cost: 0.0014 ips: 21.0967 images/s [10/22 11:48:31] ppdet.engine INFO: Epoch: [159] [ 40/261] learning_rate: 0.135644 loss_vfl: 0.714376 loss_bbox: 0.263063 loss_dfl: 0.178921 loss: 1.164432 eta: 23:58:04 batch_cost: 2.2822 data_cost: 0.0013 ips: 24.5380 images/s [10/22 11:49:22] ppdet.engine INFO: Epoch: [159] [ 60/261] learning_rate: 0.135524 loss_vfl: 0.725888 loss_bbox: 0.275771 loss_dfl: 0.182128 loss: 1.180141 eta: 23:57:18 batch_cost: 2.4084 data_cost: 0.0014 ips: 23.2518 images/s [10/22 11:50:10] ppdet.engine INFO: Epoch: [159] [ 80/261] learning_rate: 0.135404 loss_vfl: 0.718208 loss_bbox: 0.262389 loss_dfl: 0.177742 loss: 1.165697 eta: 23:56:29 batch_cost: 2.2427 data_cost: 0.0013 ips: 24.9704 images/s [10/22 11:50:56] ppdet.engine INFO: Epoch: [159] [100/261] learning_rate: 0.135285 loss_vfl: 0.708907 loss_bbox: 0.292998 loss_dfl: 0.196620 loss: 1.190037 eta: 23:55:40 batch_cost: 2.2017 data_cost: 0.0014 ips: 25.4350 images/s [10/22 11:51:47] ppdet.engine INFO: Epoch: [159] [120/261] learning_rate: 0.135165 loss_vfl: 0.714866 loss_bbox: 0.275049 loss_dfl: 0.192274 loss: 1.186401 eta: 23:54:53 batch_cost: 2.3472 data_cost: 0.0015 ips: 23.8586 images/s [10/22 11:52:35] ppdet.engine INFO: Epoch: [159] [140/261] learning_rate: 0.135045 loss_vfl: 0.731357 loss_bbox: 0.269075 loss_dfl: 0.186628 loss: 1.167571 eta: 23:54:05 batch_cost: 2.2832 data_cost: 0.0014 ips: 24.5268 images/s [10/22 11:53:23] ppdet.engine INFO: Epoch: [159] [160/261] learning_rate: 0.134925 loss_vfl: 0.716186 loss_bbox: 0.248013 loss_dfl: 0.175068 loss: 1.168838 eta: 23:53:16 batch_cost: 2.2857 data_cost: 0.0014 ips: 24.5004 images/s [10/22 11:54:11] ppdet.engine INFO: Epoch: [159] [180/261] learning_rate: 0.134806 loss_vfl: 0.727273 loss_bbox: 0.275887 loss_dfl: 0.187053 loss: 1.181041 eta: 23:52:29 batch_cost: 2.3113 data_cost: 0.0013 ips: 24.2287 images/s [10/22 11:55:00] ppdet.engine INFO: Epoch: [159] [200/261] learning_rate: 0.134686 loss_vfl: 0.725434 loss_bbox: 0.266328 loss_dfl: 0.172238 loss: 1.155244 eta: 23:51:41 batch_cost: 2.2662 data_cost: 0.0013 ips: 24.7109 images/s [10/22 11:55:48] ppdet.engine INFO: Epoch: [159] [220/261] learning_rate: 0.134566 loss_vfl: 0.709333 loss_bbox: 0.258633 loss_dfl: 0.184928 loss: 1.152088 eta: 23:50:53 batch_cost: 2.3116 data_cost: 0.0014 ips: 24.2261 images/s [10/22 11:56:36] ppdet.engine INFO: Epoch: [159] [240/261] learning_rate: 0.134446 loss_vfl: 0.729235 loss_bbox: 0.271196 loss_dfl: 0.182215 loss: 1.190360 eta: 23:50:04 batch_cost: 2.2429 data_cost: 0.0013 ips: 24.9676 images/s [10/22 11:57:19] ppdet.engine INFO: Epoch: [159] [260/261] learning_rate: 0.134327 loss_vfl: 0.729600 loss_bbox: 0.282408 loss_dfl: 0.189966 loss: 1.205864 eta: 23:49:11 batch_cost: 1.9823 data_cost: 0.0013 ips: 28.2501 images/s [10/22 11:57:25] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 11:57:25] ppdet.engine INFO: Eval iter: 0 [10/22 11:57:53] ppdet.engine INFO: Eval iter: 100 [10/22 11:58:09] ppdet.engine INFO: Eval iter: 200 [10/22 11:58:24] ppdet.engine INFO: Eval iter: 300 [10/22 11:58:39] ppdet.engine INFO: Eval iter: 400 [10/22 11:58:55] ppdet.engine INFO: Eval iter: 500 [10/22 11:59:10] ppdet.engine INFO: Eval iter: 600 [10/22 11:59:25] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.90s) creating index... index created! [10/22 11:59:26] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.70s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=69.96s). Accumulating evaluation results... DONE (t=12.56s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.353 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.518 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.370 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.152 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.386 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.550 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.299 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.473 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.504 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.240 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.569 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.732 [10/22 12:00:55] ppdet.engine INFO: Total sample number: 4952, averge FPS: 44.99781206513172 [10/22 12:00:55] ppdet.engine INFO: Best test bbox ap is 0.356. [10/22 12:00:59] ppdet.engine INFO: Epoch: [160] [ 0/261] learning_rate: 0.134321 loss_vfl: 0.727280 loss_bbox: 0.282408 loss_dfl: 0.189966 loss: 1.205864 eta: 23:49:10 batch_cost: 2.0434 data_cost: 0.0014 ips: 27.4058 images/s [10/22 12:01:55] ppdet.engine INFO: Epoch: [160] [ 20/261] learning_rate: 0.134201 loss_vfl: 0.719722 loss_bbox: 0.265711 loss_dfl: 0.184175 loss: 1.180004 eta: 23:48:27 batch_cost: 2.6066 data_cost: 0.0015 ips: 21.4838 images/s [10/22 12:02:46] ppdet.engine INFO: Epoch: [160] [ 40/261] learning_rate: 0.134081 loss_vfl: 0.724324 loss_bbox: 0.263885 loss_dfl: 0.180363 loss: 1.168966 eta: 23:47:42 batch_cost: 2.4101 data_cost: 0.0013 ips: 23.2355 images/s [10/22 12:03:34] ppdet.engine INFO: Epoch: [160] [ 60/261] learning_rate: 0.133962 loss_vfl: 0.716606 loss_bbox: 0.278119 loss_dfl: 0.186708 loss: 1.169542 eta: 23:46:52 batch_cost: 2.2175 data_cost: 0.0013 ips: 25.2533 images/s [10/22 12:04:24] ppdet.engine INFO: Epoch: [160] [ 80/261] learning_rate: 0.133842 loss_vfl: 0.715203 loss_bbox: 0.278573 loss_dfl: 0.183045 loss: 1.174303 eta: 23:46:06 batch_cost: 2.3951 data_cost: 0.0014 ips: 23.3814 images/s [10/22 12:05:13] ppdet.engine INFO: Epoch: [160] [100/261] learning_rate: 0.133722 loss_vfl: 0.719002 loss_bbox: 0.261136 loss_dfl: 0.183931 loss: 1.172938 eta: 23:45:19 batch_cost: 2.3281 data_cost: 0.0015 ips: 24.0545 images/s [10/22 12:06:02] ppdet.engine INFO: Epoch: [160] [120/261] learning_rate: 0.133603 loss_vfl: 0.738563 loss_bbox: 0.255272 loss_dfl: 0.175466 loss: 1.165738 eta: 23:44:32 batch_cost: 2.3648 data_cost: 0.0013 ips: 23.6811 images/s [10/22 12:06:50] ppdet.engine INFO: Epoch: [160] [140/261] learning_rate: 0.133483 loss_vfl: 0.707677 loss_bbox: 0.290713 loss_dfl: 0.186821 loss: 1.178865 eta: 23:43:43 batch_cost: 2.2101 data_cost: 0.0014 ips: 25.3377 images/s [10/22 12:07:37] ppdet.engine INFO: Epoch: [160] [160/261] learning_rate: 0.133363 loss_vfl: 0.709643 loss_bbox: 0.272695 loss_dfl: 0.187011 loss: 1.180674 eta: 23:42:54 batch_cost: 2.2168 data_cost: 0.0013 ips: 25.2617 images/s [10/22 12:08:27] ppdet.engine INFO: Epoch: [160] [180/261] learning_rate: 0.133244 loss_vfl: 0.713202 loss_bbox: 0.278753 loss_dfl: 0.186698 loss: 1.194466 eta: 23:42:07 batch_cost: 2.3683 data_cost: 0.0013 ips: 23.6457 images/s [10/22 12:09:15] ppdet.engine INFO: Epoch: [160] [200/261] learning_rate: 0.133124 loss_vfl: 0.714241 loss_bbox: 0.265182 loss_dfl: 0.180349 loss: 1.153631 eta: 23:41:19 batch_cost: 2.2597 data_cost: 0.0013 ips: 24.7824 images/s [10/22 12:10:06] ppdet.engine INFO: Epoch: [160] [220/261] learning_rate: 0.133005 loss_vfl: 0.726692 loss_bbox: 0.260276 loss_dfl: 0.179131 loss: 1.165633 eta: 23:40:33 batch_cost: 2.4046 data_cost: 0.0013 ips: 23.2888 images/s [10/22 12:10:54] ppdet.engine INFO: Epoch: [160] [240/261] learning_rate: 0.132885 loss_vfl: 0.709930 loss_bbox: 0.275968 loss_dfl: 0.185816 loss: 1.167382 eta: 23:39:45 batch_cost: 2.2843 data_cost: 0.0014 ips: 24.5154 images/s [10/22 12:11:36] ppdet.engine INFO: Epoch: [160] [260/261] learning_rate: 0.132765 loss_vfl: 0.733346 loss_bbox: 0.255446 loss_dfl: 0.180130 loss: 1.169556 eta: 23:38:52 batch_cost: 2.0022 data_cost: 0.0013 ips: 27.9687 images/s [10/22 12:12:01] ppdet.engine INFO: Epoch: [161] [ 0/261] learning_rate: 0.132759 loss_vfl: 0.730085 loss_bbox: 0.255446 loss_dfl: 0.180130 loss: 1.169556 eta: 23:39:04 batch_cost: 2.8562 data_cost: 0.3366 ips: 19.6065 images/s [10/22 12:12:57] ppdet.engine INFO: Epoch: [161] [ 20/261] learning_rate: 0.132640 loss_vfl: 0.710249 loss_bbox: 0.277522 loss_dfl: 0.188665 loss: 1.175035 eta: 23:38:23 batch_cost: 2.6552 data_cost: 0.0014 ips: 21.0907 images/s [10/22 12:13:46] ppdet.engine INFO: Epoch: [161] [ 40/261] learning_rate: 0.132520 loss_vfl: 0.724167 loss_bbox: 0.268990 loss_dfl: 0.180313 loss: 1.168350 eta: 23:37:34 batch_cost: 2.2752 data_cost: 0.0014 ips: 24.6130 images/s [10/22 12:14:32] ppdet.engine INFO: Epoch: [161] [ 60/261] learning_rate: 0.132401 loss_vfl: 0.707744 loss_bbox: 0.273084 loss_dfl: 0.181787 loss: 1.172438 eta: 23:36:45 batch_cost: 2.1734 data_cost: 0.0013 ips: 25.7663 images/s [10/22 12:15:21] ppdet.engine INFO: Epoch: [161] [ 80/261] learning_rate: 0.132281 loss_vfl: 0.702594 loss_bbox: 0.286952 loss_dfl: 0.188303 loss: 1.177386 eta: 23:35:57 batch_cost: 2.3317 data_cost: 0.0013 ips: 24.0166 images/s [10/22 12:16:10] ppdet.engine INFO: Epoch: [161] [100/261] learning_rate: 0.132162 loss_vfl: 0.706373 loss_bbox: 0.261985 loss_dfl: 0.177610 loss: 1.145387 eta: 23:35:09 batch_cost: 2.2920 data_cost: 0.0013 ips: 24.4324 images/s [10/22 12:16:58] ppdet.engine INFO: Epoch: [161] [120/261] learning_rate: 0.132042 loss_vfl: 0.716684 loss_bbox: 0.278865 loss_dfl: 0.194877 loss: 1.188643 eta: 23:34:21 batch_cost: 2.2513 data_cost: 0.0014 ips: 24.8743 images/s [10/22 12:17:46] ppdet.engine INFO: Epoch: [161] [140/261] learning_rate: 0.131923 loss_vfl: 0.705415 loss_bbox: 0.269656 loss_dfl: 0.189046 loss: 1.159952 eta: 23:33:33 batch_cost: 2.3119 data_cost: 0.0013 ips: 24.2229 images/s [10/22 12:18:34] ppdet.engine INFO: Epoch: [161] [160/261] learning_rate: 0.131803 loss_vfl: 0.720151 loss_bbox: 0.261342 loss_dfl: 0.178559 loss: 1.167367 eta: 23:32:46 batch_cost: 2.3136 data_cost: 0.0013 ips: 24.2051 images/s [10/22 12:19:22] ppdet.engine INFO: Epoch: [161] [180/261] learning_rate: 0.131684 loss_vfl: 0.715670 loss_bbox: 0.266103 loss_dfl: 0.180840 loss: 1.174934 eta: 23:31:57 batch_cost: 2.2077 data_cost: 0.0013 ips: 25.3663 images/s [10/22 12:20:12] ppdet.engine INFO: Epoch: [161] [200/261] learning_rate: 0.131564 loss_vfl: 0.718120 loss_bbox: 0.288597 loss_dfl: 0.191484 loss: 1.193453 eta: 23:31:10 batch_cost: 2.3588 data_cost: 0.0013 ips: 23.7406 images/s [10/22 12:21:01] ppdet.engine INFO: Epoch: [161] [220/261] learning_rate: 0.131445 loss_vfl: 0.728027 loss_bbox: 0.268603 loss_dfl: 0.181405 loss: 1.164662 eta: 23:30:22 batch_cost: 2.3121 data_cost: 0.0014 ips: 24.2204 images/s [10/22 12:21:48] ppdet.engine INFO: Epoch: [161] [240/261] learning_rate: 0.131325 loss_vfl: 0.712831 loss_bbox: 0.272757 loss_dfl: 0.186204 loss: 1.177951 eta: 23:29:34 batch_cost: 2.2749 data_cost: 0.0013 ips: 24.6166 images/s [10/22 12:22:34] ppdet.engine INFO: Epoch: [161] [260/261] learning_rate: 0.131206 loss_vfl: 0.716725 loss_bbox: 0.254333 loss_dfl: 0.181995 loss: 1.146455 eta: 23:28:44 batch_cost: 2.1661 data_cost: 0.0012 ips: 25.8533 images/s [10/22 12:22:57] ppdet.engine INFO: Epoch: [162] [ 0/261] learning_rate: 0.131200 loss_vfl: 0.718019 loss_bbox: 0.260761 loss_dfl: 0.181995 loss: 1.161895 eta: 23:28:54 batch_cost: 2.8474 data_cost: 0.2504 ips: 19.6672 images/s [10/22 12:23:52] ppdet.engine INFO: Epoch: [162] [ 20/261] learning_rate: 0.131081 loss_vfl: 0.710653 loss_bbox: 0.265073 loss_dfl: 0.181471 loss: 1.166312 eta: 23:28:11 batch_cost: 2.5512 data_cost: 0.0014 ips: 21.9506 images/s [10/22 12:24:41] ppdet.engine INFO: Epoch: [162] [ 40/261] learning_rate: 0.130961 loss_vfl: 0.717543 loss_bbox: 0.256789 loss_dfl: 0.179248 loss: 1.163598 eta: 23:27:24 batch_cost: 2.3598 data_cost: 0.0012 ips: 23.7308 images/s [10/22 12:25:30] ppdet.engine INFO: Epoch: [162] [ 60/261] learning_rate: 0.130842 loss_vfl: 0.707969 loss_bbox: 0.250966 loss_dfl: 0.179988 loss: 1.123922 eta: 23:26:37 batch_cost: 2.3389 data_cost: 0.0013 ips: 23.9432 images/s [10/22 12:26:18] ppdet.engine INFO: Epoch: [162] [ 80/261] learning_rate: 0.130722 loss_vfl: 0.721925 loss_bbox: 0.276000 loss_dfl: 0.189952 loss: 1.200261 eta: 23:25:49 batch_cost: 2.2791 data_cost: 0.0013 ips: 24.5713 images/s [10/22 12:27:08] ppdet.engine INFO: Epoch: [162] [100/261] learning_rate: 0.130603 loss_vfl: 0.709207 loss_bbox: 0.280551 loss_dfl: 0.193813 loss: 1.180244 eta: 23:25:02 batch_cost: 2.3362 data_cost: 0.0014 ips: 23.9710 images/s [10/22 12:27:57] ppdet.engine INFO: Epoch: [162] [120/261] learning_rate: 0.130484 loss_vfl: 0.705623 loss_bbox: 0.258513 loss_dfl: 0.181371 loss: 1.143593 eta: 23:24:14 batch_cost: 2.2917 data_cost: 0.0013 ips: 24.4359 images/s [10/22 12:28:45] ppdet.engine INFO: Epoch: [162] [140/261] learning_rate: 0.130364 loss_vfl: 0.725777 loss_bbox: 0.287739 loss_dfl: 0.186904 loss: 1.193618 eta: 23:23:25 batch_cost: 2.2597 data_cost: 0.0013 ips: 24.7823 images/s [10/22 12:29:35] ppdet.engine INFO: Epoch: [162] [160/261] learning_rate: 0.130245 loss_vfl: 0.710260 loss_bbox: 0.262420 loss_dfl: 0.181219 loss: 1.146609 eta: 23:22:39 batch_cost: 2.4068 data_cost: 0.0014 ips: 23.2677 images/s [10/22 12:30:24] ppdet.engine INFO: Epoch: [162] [180/261] learning_rate: 0.130126 loss_vfl: 0.703821 loss_bbox: 0.263560 loss_dfl: 0.177804 loss: 1.150904 eta: 23:21:51 batch_cost: 2.2503 data_cost: 0.0013 ips: 24.8860 images/s [10/22 12:31:14] ppdet.engine INFO: Epoch: [162] [200/261] learning_rate: 0.130006 loss_vfl: 0.717908 loss_bbox: 0.274353 loss_dfl: 0.183913 loss: 1.182334 eta: 23:21:04 batch_cost: 2.3417 data_cost: 0.0013 ips: 23.9138 images/s [10/22 12:32:04] ppdet.engine INFO: Epoch: [162] [220/261] learning_rate: 0.129887 loss_vfl: 0.692432 loss_bbox: 0.264540 loss_dfl: 0.182891 loss: 1.149275 eta: 23:20:16 batch_cost: 2.3015 data_cost: 0.0013 ips: 24.3315 images/s [10/22 12:32:55] ppdet.engine INFO: Epoch: [162] [240/261] learning_rate: 0.129768 loss_vfl: 0.716653 loss_bbox: 0.266988 loss_dfl: 0.184080 loss: 1.164628 eta: 23:19:31 batch_cost: 2.4416 data_cost: 0.0013 ips: 22.9361 images/s [10/22 12:33:39] ppdet.engine INFO: Epoch: [162] [260/261] learning_rate: 0.129649 loss_vfl: 0.720158 loss_bbox: 0.262742 loss_dfl: 0.181335 loss: 1.176690 eta: 23:18:40 batch_cost: 2.1158 data_cost: 0.0012 ips: 26.4670 images/s [10/22 12:34:02] ppdet.engine INFO: Epoch: [163] [ 0/261] learning_rate: 0.129643 loss_vfl: 0.728409 loss_bbox: 0.253161 loss_dfl: 0.180789 loss: 1.173151 eta: 23:18:49 batch_cost: 2.7952 data_cost: 0.2108 ips: 20.0342 images/s [10/22 12:34:57] ppdet.engine INFO: Epoch: [163] [ 20/261] learning_rate: 0.129523 loss_vfl: 0.718010 loss_bbox: 0.262692 loss_dfl: 0.184846 loss: 1.173308 eta: 23:18:06 batch_cost: 2.5265 data_cost: 0.0014 ips: 22.1654 images/s [10/22 12:35:47] ppdet.engine INFO: Epoch: [163] [ 40/261] learning_rate: 0.129404 loss_vfl: 0.707505 loss_bbox: 0.270966 loss_dfl: 0.185882 loss: 1.150008 eta: 23:17:19 batch_cost: 2.3464 data_cost: 0.0013 ips: 23.8667 images/s [10/22 12:36:35] ppdet.engine INFO: Epoch: [163] [ 60/261] learning_rate: 0.129285 loss_vfl: 0.704581 loss_bbox: 0.259716 loss_dfl: 0.179862 loss: 1.149584 eta: 23:16:30 batch_cost: 2.2686 data_cost: 0.0096 ips: 24.6845 images/s [10/22 12:37:23] ppdet.engine INFO: Epoch: [163] [ 80/261] learning_rate: 0.129166 loss_vfl: 0.703242 loss_bbox: 0.268753 loss_dfl: 0.187120 loss: 1.156066 eta: 23:15:42 batch_cost: 2.2762 data_cost: 0.0014 ips: 24.6019 images/s [10/22 12:38:11] ppdet.engine INFO: Epoch: [163] [100/261] learning_rate: 0.129047 loss_vfl: 0.706018 loss_bbox: 0.270010 loss_dfl: 0.189123 loss: 1.164664 eta: 23:14:54 batch_cost: 2.2836 data_cost: 0.0014 ips: 24.5226 images/s [10/22 12:39:00] ppdet.engine INFO: Epoch: [163] [120/261] learning_rate: 0.128927 loss_vfl: 0.707091 loss_bbox: 0.271299 loss_dfl: 0.175740 loss: 1.153663 eta: 23:14:06 batch_cost: 2.2713 data_cost: 0.0014 ips: 24.6560 images/s [10/22 12:39:50] ppdet.engine INFO: Epoch: [163] [140/261] learning_rate: 0.128808 loss_vfl: 0.718988 loss_bbox: 0.287476 loss_dfl: 0.184484 loss: 1.198010 eta: 23:13:19 batch_cost: 2.3584 data_cost: 0.0013 ips: 23.7445 images/s [10/22 12:40:41] ppdet.engine INFO: Epoch: [163] [160/261] learning_rate: 0.128689 loss_vfl: 0.709397 loss_bbox: 0.267199 loss_dfl: 0.180208 loss: 1.147386 eta: 23:12:35 batch_cost: 2.4921 data_cost: 0.0014 ips: 22.4706 images/s [10/22 12:41:30] ppdet.engine INFO: Epoch: [163] [180/261] learning_rate: 0.128570 loss_vfl: 0.702473 loss_bbox: 0.274510 loss_dfl: 0.185413 loss: 1.167172 eta: 23:11:46 batch_cost: 2.2337 data_cost: 0.0014 ips: 25.0710 images/s [10/22 12:42:20] ppdet.engine INFO: Epoch: [163] [200/261] learning_rate: 0.128451 loss_vfl: 0.714952 loss_bbox: 0.255376 loss_dfl: 0.175195 loss: 1.144487 eta: 23:10:58 batch_cost: 2.2998 data_cost: 0.0014 ips: 24.3495 images/s [10/22 12:43:08] ppdet.engine INFO: Epoch: [163] [220/261] learning_rate: 0.128332 loss_vfl: 0.720890 loss_bbox: 0.270792 loss_dfl: 0.179353 loss: 1.177533 eta: 23:10:10 batch_cost: 2.2973 data_cost: 0.0014 ips: 24.3762 images/s [10/22 12:43:55] ppdet.engine INFO: Epoch: [163] [240/261] learning_rate: 0.128213 loss_vfl: 0.717386 loss_bbox: 0.269380 loss_dfl: 0.181345 loss: 1.181250 eta: 23:09:21 batch_cost: 2.1883 data_cost: 0.0014 ips: 25.5904 images/s [10/22 12:44:39] ppdet.engine INFO: Epoch: [163] [260/261] learning_rate: 0.128093 loss_vfl: 0.703838 loss_bbox: 0.272776 loss_dfl: 0.187931 loss: 1.171032 eta: 23:08:29 batch_cost: 2.0717 data_cost: 0.0012 ips: 27.0307 images/s [10/22 12:45:03] ppdet.engine INFO: Epoch: [164] [ 0/261] learning_rate: 0.128088 loss_vfl: 0.703838 loss_bbox: 0.269288 loss_dfl: 0.185915 loss: 1.152494 eta: 23:08:41 batch_cost: 2.8826 data_cost: 0.2472 ips: 19.4267 images/s [10/22 12:45:56] ppdet.engine INFO: Epoch: [164] [ 20/261] learning_rate: 0.127968 loss_vfl: 0.708709 loss_bbox: 0.267787 loss_dfl: 0.182156 loss: 1.173833 eta: 23:07:57 batch_cost: 2.5302 data_cost: 0.0013 ips: 22.1323 images/s [10/22 12:46:45] ppdet.engine INFO: Epoch: [164] [ 40/261] learning_rate: 0.127849 loss_vfl: 0.716071 loss_bbox: 0.248260 loss_dfl: 0.176838 loss: 1.148360 eta: 23:07:08 batch_cost: 2.2502 data_cost: 0.0014 ips: 24.8866 images/s [10/22 12:47:32] ppdet.engine INFO: Epoch: [164] [ 60/261] learning_rate: 0.127730 loss_vfl: 0.693837 loss_bbox: 0.264415 loss_dfl: 0.178396 loss: 1.138406 eta: 23:06:19 batch_cost: 2.2131 data_cost: 0.0014 ips: 25.3041 images/s [10/22 12:48:19] ppdet.engine INFO: Epoch: [164] [ 80/261] learning_rate: 0.127611 loss_vfl: 0.709653 loss_bbox: 0.280814 loss_dfl: 0.186643 loss: 1.180717 eta: 23:05:30 batch_cost: 2.2246 data_cost: 0.0014 ips: 25.1726 images/s [10/22 12:49:07] ppdet.engine INFO: Epoch: [164] [100/261] learning_rate: 0.127492 loss_vfl: 0.707123 loss_bbox: 0.250423 loss_dfl: 0.179245 loss: 1.150792 eta: 23:04:40 batch_cost: 2.1869 data_cost: 0.0014 ips: 25.6071 images/s [10/22 12:49:55] ppdet.engine INFO: Epoch: [164] [120/261] learning_rate: 0.127373 loss_vfl: 0.713191 loss_bbox: 0.264226 loss_dfl: 0.179813 loss: 1.151393 eta: 23:03:53 batch_cost: 2.3278 data_cost: 0.0013 ips: 24.0572 images/s [10/22 12:50:47] ppdet.engine INFO: Epoch: [164] [140/261] learning_rate: 0.127254 loss_vfl: 0.710706 loss_bbox: 0.281721 loss_dfl: 0.185660 loss: 1.179881 eta: 23:03:08 batch_cost: 2.4300 data_cost: 0.0014 ips: 23.0457 images/s [10/22 12:51:37] ppdet.engine INFO: Epoch: [164] [160/261] learning_rate: 0.127135 loss_vfl: 0.712437 loss_bbox: 0.254476 loss_dfl: 0.175574 loss: 1.152265 eta: 23:02:21 batch_cost: 2.3740 data_cost: 0.0013 ips: 23.5886 images/s [10/22 12:52:27] ppdet.engine INFO: Epoch: [164] [180/261] learning_rate: 0.127016 loss_vfl: 0.699912 loss_bbox: 0.265180 loss_dfl: 0.185025 loss: 1.146926 eta: 23:01:34 batch_cost: 2.3247 data_cost: 0.0015 ips: 24.0889 images/s [10/22 12:53:17] ppdet.engine INFO: Epoch: [164] [200/261] learning_rate: 0.126898 loss_vfl: 0.707515 loss_bbox: 0.277693 loss_dfl: 0.179977 loss: 1.148890 eta: 23:00:46 batch_cost: 2.3247 data_cost: 0.0013 ips: 24.0895 images/s [10/22 12:54:07] ppdet.engine INFO: Epoch: [164] [220/261] learning_rate: 0.126779 loss_vfl: 0.709439 loss_bbox: 0.274678 loss_dfl: 0.184964 loss: 1.170385 eta: 22:59:58 batch_cost: 2.2852 data_cost: 0.0014 ips: 24.5053 images/s [10/22 12:54:57] ppdet.engine INFO: Epoch: [164] [240/261] learning_rate: 0.126660 loss_vfl: 0.713584 loss_bbox: 0.251040 loss_dfl: 0.174133 loss: 1.163437 eta: 22:59:12 batch_cost: 2.3934 data_cost: 0.0014 ips: 23.3973 images/s [10/22 12:55:40] ppdet.engine INFO: Epoch: [164] [260/261] learning_rate: 0.126541 loss_vfl: 0.701749 loss_bbox: 0.280413 loss_dfl: 0.192169 loss: 1.173746 eta: 22:58:20 batch_cost: 2.0432 data_cost: 0.0012 ips: 27.4082 images/s [10/22 12:56:02] ppdet.engine INFO: Epoch: [165] [ 0/261] learning_rate: 0.126535 loss_vfl: 0.709635 loss_bbox: 0.275290 loss_dfl: 0.188709 loss: 1.173746 eta: 22:58:29 batch_cost: 2.7464 data_cost: 0.3731 ips: 20.3905 images/s [10/22 12:56:55] ppdet.engine INFO: Epoch: [165] [ 20/261] learning_rate: 0.126416 loss_vfl: 0.734816 loss_bbox: 0.283785 loss_dfl: 0.190683 loss: 1.210385 eta: 22:57:46 batch_cost: 2.5497 data_cost: 0.0013 ips: 21.9630 images/s [10/22 12:57:43] ppdet.engine INFO: Epoch: [165] [ 40/261] learning_rate: 0.126297 loss_vfl: 0.710183 loss_bbox: 0.284600 loss_dfl: 0.188299 loss: 1.159221 eta: 22:56:57 batch_cost: 2.2227 data_cost: 0.0014 ips: 25.1951 images/s [10/22 12:58:32] ppdet.engine INFO: Epoch: [165] [ 60/261] learning_rate: 0.126178 loss_vfl: 0.705796 loss_bbox: 0.281724 loss_dfl: 0.190379 loss: 1.177532 eta: 22:56:10 batch_cost: 2.3746 data_cost: 0.0013 ips: 23.5828 images/s [10/22 12:59:21] ppdet.engine INFO: Epoch: [165] [ 80/261] learning_rate: 0.126059 loss_vfl: 0.711858 loss_bbox: 0.280655 loss_dfl: 0.188846 loss: 1.184904 eta: 22:55:23 batch_cost: 2.3535 data_cost: 0.0013 ips: 23.7946 images/s [10/22 13:00:10] ppdet.engine INFO: Epoch: [165] [100/261] learning_rate: 0.125941 loss_vfl: 0.711077 loss_bbox: 0.269860 loss_dfl: 0.179418 loss: 1.147073 eta: 22:54:35 batch_cost: 2.2644 data_cost: 0.0014 ips: 24.7308 images/s [10/22 13:00:57] ppdet.engine INFO: Epoch: [165] [120/261] learning_rate: 0.125822 loss_vfl: 0.691679 loss_bbox: 0.242921 loss_dfl: 0.172149 loss: 1.128807 eta: 22:53:46 batch_cost: 2.2068 data_cost: 0.0014 ips: 25.3759 images/s [10/22 13:01:45] ppdet.engine INFO: Epoch: [165] [140/261] learning_rate: 0.125703 loss_vfl: 0.705670 loss_bbox: 0.284589 loss_dfl: 0.190290 loss: 1.173821 eta: 22:52:57 batch_cost: 2.2266 data_cost: 0.0014 ips: 25.1505 images/s [10/22 13:02:33] ppdet.engine INFO: Epoch: [165] [160/261] learning_rate: 0.125584 loss_vfl: 0.719003 loss_bbox: 0.284513 loss_dfl: 0.185996 loss: 1.182962 eta: 22:52:09 batch_cost: 2.2686 data_cost: 0.0014 ips: 24.6851 images/s [10/22 13:03:21] ppdet.engine INFO: Epoch: [165] [180/261] learning_rate: 0.125465 loss_vfl: 0.728728 loss_bbox: 0.269398 loss_dfl: 0.184519 loss: 1.184753 eta: 22:51:19 batch_cost: 2.1816 data_cost: 0.0014 ips: 25.6696 images/s [10/22 13:04:10] ppdet.engine INFO: Epoch: [165] [200/261] learning_rate: 0.125347 loss_vfl: 0.723413 loss_bbox: 0.259897 loss_dfl: 0.177495 loss: 1.163196 eta: 22:50:32 batch_cost: 2.3072 data_cost: 0.0013 ips: 24.2722 images/s [10/22 13:04:59] ppdet.engine INFO: Epoch: [165] [220/261] learning_rate: 0.125228 loss_vfl: 0.709276 loss_bbox: 0.248720 loss_dfl: 0.173305 loss: 1.135223 eta: 22:49:44 batch_cost: 2.2890 data_cost: 0.0014 ips: 24.4648 images/s [10/22 13:05:48] ppdet.engine INFO: Epoch: [165] [240/261] learning_rate: 0.125109 loss_vfl: 0.706916 loss_bbox: 0.266213 loss_dfl: 0.180455 loss: 1.161107 eta: 22:48:55 batch_cost: 2.2422 data_cost: 0.0013 ips: 24.9750 images/s [10/22 13:06:32] ppdet.engine INFO: Epoch: [165] [260/261] learning_rate: 0.124991 loss_vfl: 0.706505 loss_bbox: 0.267583 loss_dfl: 0.183198 loss: 1.179510 eta: 22:48:04 batch_cost: 2.0718 data_cost: 0.0013 ips: 27.0290 images/s [10/22 13:06:56] ppdet.engine INFO: Epoch: [166] [ 0/261] learning_rate: 0.124985 loss_vfl: 0.711642 loss_bbox: 0.267583 loss_dfl: 0.183198 loss: 1.179510 eta: 22:48:14 batch_cost: 2.8961 data_cost: 0.3320 ips: 19.3366 images/s [10/22 13:07:49] ppdet.engine INFO: Epoch: [166] [ 20/261] learning_rate: 0.124866 loss_vfl: 0.695082 loss_bbox: 0.260408 loss_dfl: 0.184941 loss: 1.153084 eta: 22:47:30 batch_cost: 2.5526 data_cost: 0.0013 ips: 21.9385 images/s [10/22 13:08:39] ppdet.engine INFO: Epoch: [166] [ 40/261] learning_rate: 0.124747 loss_vfl: 0.717365 loss_bbox: 0.271295 loss_dfl: 0.180216 loss: 1.160769 eta: 22:46:44 batch_cost: 2.3668 data_cost: 0.0014 ips: 23.6611 images/s [10/22 13:09:28] ppdet.engine INFO: Epoch: [166] [ 60/261] learning_rate: 0.124629 loss_vfl: 0.703738 loss_bbox: 0.261782 loss_dfl: 0.176354 loss: 1.152043 eta: 22:45:57 batch_cost: 2.3661 data_cost: 0.0013 ips: 23.6677 images/s [10/22 13:10:17] ppdet.engine INFO: Epoch: [166] [ 80/261] learning_rate: 0.124510 loss_vfl: 0.714369 loss_bbox: 0.287131 loss_dfl: 0.184928 loss: 1.191467 eta: 22:45:09 batch_cost: 2.2809 data_cost: 0.0013 ips: 24.5517 images/s [10/22 13:11:05] ppdet.engine INFO: Epoch: [166] [100/261] learning_rate: 0.124391 loss_vfl: 0.717875 loss_bbox: 0.275407 loss_dfl: 0.190085 loss: 1.167652 eta: 22:44:21 batch_cost: 2.2957 data_cost: 0.0013 ips: 24.3937 images/s [10/22 13:11:54] ppdet.engine INFO: Epoch: [166] [120/261] learning_rate: 0.124273 loss_vfl: 0.715281 loss_bbox: 0.275032 loss_dfl: 0.181494 loss: 1.158590 eta: 22:43:32 batch_cost: 2.2203 data_cost: 0.0014 ips: 25.2222 images/s [10/22 13:12:43] ppdet.engine INFO: Epoch: [166] [140/261] learning_rate: 0.124154 loss_vfl: 0.712581 loss_bbox: 0.252609 loss_dfl: 0.180633 loss: 1.162042 eta: 22:42:45 batch_cost: 2.3403 data_cost: 0.0013 ips: 23.9283 images/s [10/22 13:13:33] ppdet.engine INFO: Epoch: [166] [160/261] learning_rate: 0.124036 loss_vfl: 0.709965 loss_bbox: 0.254833 loss_dfl: 0.177968 loss: 1.136235 eta: 22:41:59 batch_cost: 2.3927 data_cost: 0.0014 ips: 23.4041 images/s [10/22 13:14:20] ppdet.engine INFO: Epoch: [166] [180/261] learning_rate: 0.123917 loss_vfl: 0.704740 loss_bbox: 0.268183 loss_dfl: 0.180215 loss: 1.162615 eta: 22:41:10 batch_cost: 2.2433 data_cost: 0.0013 ips: 24.9627 images/s [10/22 13:15:09] ppdet.engine INFO: Epoch: [166] [200/261] learning_rate: 0.123799 loss_vfl: 0.738142 loss_bbox: 0.277260 loss_dfl: 0.184240 loss: 1.188284 eta: 22:40:22 batch_cost: 2.2753 data_cost: 0.0013 ips: 24.6117 images/s [10/22 13:15:59] ppdet.engine INFO: Epoch: [166] [220/261] learning_rate: 0.123680 loss_vfl: 0.693982 loss_bbox: 0.274019 loss_dfl: 0.185232 loss: 1.145488 eta: 22:39:36 batch_cost: 2.3842 data_cost: 0.0013 ips: 23.4883 images/s [10/22 13:16:48] ppdet.engine INFO: Epoch: [166] [240/261] learning_rate: 0.123562 loss_vfl: 0.711351 loss_bbox: 0.259170 loss_dfl: 0.179971 loss: 1.173998 eta: 22:38:47 batch_cost: 2.2447 data_cost: 0.0013 ips: 24.9473 images/s [10/22 13:17:31] ppdet.engine INFO: Epoch: [166] [260/261] learning_rate: 0.123443 loss_vfl: 0.712206 loss_bbox: 0.278898 loss_dfl: 0.191944 loss: 1.179011 eta: 22:37:56 batch_cost: 2.0345 data_cost: 0.0013 ips: 27.5257 images/s [10/22 13:17:53] ppdet.engine INFO: Epoch: [167] [ 0/261] learning_rate: 0.123437 loss_vfl: 0.712206 loss_bbox: 0.278898 loss_dfl: 0.191564 loss: 1.179011 eta: 22:38:05 batch_cost: 2.7520 data_cost: 0.4240 ips: 20.3491 images/s [10/22 13:18:49] ppdet.engine INFO: Epoch: [167] [ 20/261] learning_rate: 0.123319 loss_vfl: 0.715084 loss_bbox: 0.272635 loss_dfl: 0.182587 loss: 1.169205 eta: 22:37:23 batch_cost: 2.6861 data_cost: 0.0013 ips: 20.8481 images/s [10/22 13:19:40] ppdet.engine INFO: Epoch: [167] [ 40/261] learning_rate: 0.123200 loss_vfl: 0.714133 loss_bbox: 0.267290 loss_dfl: 0.181693 loss: 1.176045 eta: 22:36:37 batch_cost: 2.4164 data_cost: 0.0013 ips: 23.1747 images/s [10/22 13:20:27] ppdet.engine INFO: Epoch: [167] [ 60/261] learning_rate: 0.123082 loss_vfl: 0.727028 loss_bbox: 0.255875 loss_dfl: 0.175513 loss: 1.147462 eta: 22:35:49 batch_cost: 2.2582 data_cost: 0.0013 ips: 24.7986 images/s [10/22 13:21:14] ppdet.engine INFO: Epoch: [167] [ 80/261] learning_rate: 0.122964 loss_vfl: 0.713394 loss_bbox: 0.272075 loss_dfl: 0.189322 loss: 1.178703 eta: 22:34:59 batch_cost: 2.1879 data_cost: 0.0013 ips: 25.5949 images/s [10/22 13:22:04] ppdet.engine INFO: Epoch: [167] [100/261] learning_rate: 0.122845 loss_vfl: 0.710943 loss_bbox: 0.266944 loss_dfl: 0.181245 loss: 1.178904 eta: 22:34:12 batch_cost: 2.3155 data_cost: 0.0013 ips: 24.1852 images/s [10/22 13:22:53] ppdet.engine INFO: Epoch: [167] [120/261] learning_rate: 0.122727 loss_vfl: 0.730201 loss_bbox: 0.288052 loss_dfl: 0.186336 loss: 1.178588 eta: 22:33:23 batch_cost: 2.2388 data_cost: 0.0014 ips: 25.0138 images/s [10/22 13:23:41] ppdet.engine INFO: Epoch: [167] [140/261] learning_rate: 0.122608 loss_vfl: 0.699559 loss_bbox: 0.266143 loss_dfl: 0.189426 loss: 1.185828 eta: 22:32:36 batch_cost: 2.3166 data_cost: 0.0013 ips: 24.1729 images/s [10/22 13:24:32] ppdet.engine INFO: Epoch: [167] [160/261] learning_rate: 0.122490 loss_vfl: 0.714191 loss_bbox: 0.249523 loss_dfl: 0.173056 loss: 1.144929 eta: 22:31:50 batch_cost: 2.3912 data_cost: 0.0013 ips: 23.4188 images/s [10/22 13:25:20] ppdet.engine INFO: Epoch: [167] [180/261] learning_rate: 0.122372 loss_vfl: 0.720993 loss_bbox: 0.240267 loss_dfl: 0.171264 loss: 1.139529 eta: 22:31:02 batch_cost: 2.2749 data_cost: 0.0015 ips: 24.6169 images/s [10/22 13:26:09] ppdet.engine INFO: Epoch: [167] [200/261] learning_rate: 0.122254 loss_vfl: 0.725353 loss_bbox: 0.280039 loss_dfl: 0.185581 loss: 1.191452 eta: 22:30:14 batch_cost: 2.2867 data_cost: 0.0014 ips: 24.4899 images/s [10/22 13:26:57] ppdet.engine INFO: Epoch: [167] [220/261] learning_rate: 0.122135 loss_vfl: 0.709140 loss_bbox: 0.273119 loss_dfl: 0.184703 loss: 1.161899 eta: 22:29:23 batch_cost: 2.1368 data_cost: 0.0013 ips: 26.2069 images/s [10/22 13:27:44] ppdet.engine INFO: Epoch: [167] [240/261] learning_rate: 0.122017 loss_vfl: 0.718896 loss_bbox: 0.283227 loss_dfl: 0.190716 loss: 1.179292 eta: 22:28:33 batch_cost: 2.1575 data_cost: 0.0014 ips: 25.9563 images/s [10/22 13:28:30] ppdet.engine INFO: Epoch: [167] [260/261] learning_rate: 0.121899 loss_vfl: 0.713599 loss_bbox: 0.280891 loss_dfl: 0.190226 loss: 1.186767 eta: 22:27:44 batch_cost: 2.2018 data_cost: 0.0013 ips: 25.4337 images/s [10/22 13:28:53] ppdet.engine INFO: Epoch: [168] [ 0/261] learning_rate: 0.121893 loss_vfl: 0.713494 loss_bbox: 0.284016 loss_dfl: 0.190226 loss: 1.186767 eta: 22:27:53 batch_cost: 2.8998 data_cost: 0.4877 ips: 19.3118 images/s [10/22 13:29:46] ppdet.engine INFO: Epoch: [168] [ 20/261] learning_rate: 0.121775 loss_vfl: 0.714838 loss_bbox: 0.255243 loss_dfl: 0.177391 loss: 1.167654 eta: 22:27:09 batch_cost: 2.5320 data_cost: 0.0013 ips: 22.1170 images/s [10/22 13:30:34] ppdet.engine INFO: Epoch: [168] [ 40/261] learning_rate: 0.121656 loss_vfl: 0.707754 loss_bbox: 0.270166 loss_dfl: 0.177478 loss: 1.168728 eta: 22:26:21 batch_cost: 2.2842 data_cost: 0.0014 ips: 24.5167 images/s [10/22 13:31:22] ppdet.engine INFO: Epoch: [168] [ 60/261] learning_rate: 0.121538 loss_vfl: 0.709437 loss_bbox: 0.279245 loss_dfl: 0.195672 loss: 1.175762 eta: 22:25:33 batch_cost: 2.2216 data_cost: 0.0013 ips: 25.2066 images/s [10/22 13:32:10] ppdet.engine INFO: Epoch: [168] [ 80/261] learning_rate: 0.121420 loss_vfl: 0.705648 loss_bbox: 0.272837 loss_dfl: 0.186850 loss: 1.172976 eta: 22:24:44 batch_cost: 2.2214 data_cost: 0.0013 ips: 25.2088 images/s [10/22 13:33:00] ppdet.engine INFO: Epoch: [168] [100/261] learning_rate: 0.121302 loss_vfl: 0.712422 loss_bbox: 0.272107 loss_dfl: 0.185521 loss: 1.157680 eta: 22:23:58 batch_cost: 2.4049 data_cost: 0.0013 ips: 23.2860 images/s [10/22 13:33:49] ppdet.engine INFO: Epoch: [168] [120/261] learning_rate: 0.121184 loss_vfl: 0.719425 loss_bbox: 0.275851 loss_dfl: 0.188377 loss: 1.189915 eta: 22:23:09 batch_cost: 2.2464 data_cost: 0.0013 ips: 24.9293 images/s [10/22 13:34:38] ppdet.engine INFO: Epoch: [168] [140/261] learning_rate: 0.121066 loss_vfl: 0.701522 loss_bbox: 0.275978 loss_dfl: 0.181239 loss: 1.163998 eta: 22:22:21 batch_cost: 2.2954 data_cost: 0.0014 ips: 24.3965 images/s [10/22 13:35:29] ppdet.engine INFO: Epoch: [168] [160/261] learning_rate: 0.120948 loss_vfl: 0.715244 loss_bbox: 0.249688 loss_dfl: 0.168761 loss: 1.145078 eta: 22:21:35 batch_cost: 2.4031 data_cost: 0.0013 ips: 23.3031 images/s [10/22 13:36:19] ppdet.engine INFO: Epoch: [168] [180/261] learning_rate: 0.120829 loss_vfl: 0.716994 loss_bbox: 0.285575 loss_dfl: 0.193473 loss: 1.204436 eta: 22:20:48 batch_cost: 2.3013 data_cost: 0.0013 ips: 24.3345 images/s [10/22 13:37:10] ppdet.engine INFO: Epoch: [168] [200/261] learning_rate: 0.120711 loss_vfl: 0.708117 loss_bbox: 0.261226 loss_dfl: 0.175306 loss: 1.128692 eta: 22:20:02 batch_cost: 2.4177 data_cost: 0.0014 ips: 23.1626 images/s [10/22 13:38:01] ppdet.engine INFO: Epoch: [168] [220/261] learning_rate: 0.120593 loss_vfl: 0.709664 loss_bbox: 0.285598 loss_dfl: 0.187343 loss: 1.177575 eta: 22:19:15 batch_cost: 2.3929 data_cost: 0.0013 ips: 23.4030 images/s [10/22 13:38:51] ppdet.engine INFO: Epoch: [168] [240/261] learning_rate: 0.120475 loss_vfl: 0.720341 loss_bbox: 0.260741 loss_dfl: 0.177969 loss: 1.152224 eta: 22:18:28 batch_cost: 2.3411 data_cost: 0.0014 ips: 23.9208 images/s [10/22 13:39:36] ppdet.engine INFO: Epoch: [168] [260/261] learning_rate: 0.120357 loss_vfl: 0.709000 loss_bbox: 0.273072 loss_dfl: 0.188009 loss: 1.161774 eta: 22:17:38 batch_cost: 2.1352 data_cost: 0.0013 ips: 26.2268 images/s [10/22 13:39:59] ppdet.engine INFO: Epoch: [169] [ 0/261] learning_rate: 0.120351 loss_vfl: 0.709000 loss_bbox: 0.273072 loss_dfl: 0.188009 loss: 1.148698 eta: 22:17:47 batch_cost: 2.8632 data_cost: 0.4836 ips: 19.5588 images/s [10/22 13:40:53] ppdet.engine INFO: Epoch: [169] [ 20/261] learning_rate: 0.120233 loss_vfl: 0.694089 loss_bbox: 0.266307 loss_dfl: 0.181607 loss: 1.159373 eta: 22:17:04 batch_cost: 2.5504 data_cost: 0.0013 ips: 21.9575 images/s [10/22 13:41:43] ppdet.engine INFO: Epoch: [169] [ 40/261] learning_rate: 0.120115 loss_vfl: 0.724113 loss_bbox: 0.270309 loss_dfl: 0.186452 loss: 1.184561 eta: 22:16:17 batch_cost: 2.3476 data_cost: 0.0013 ips: 23.8538 images/s [10/22 13:42:31] ppdet.engine INFO: Epoch: [169] [ 60/261] learning_rate: 0.119998 loss_vfl: 0.713931 loss_bbox: 0.270016 loss_dfl: 0.183809 loss: 1.184399 eta: 22:15:29 batch_cost: 2.2816 data_cost: 0.0013 ips: 24.5438 images/s [10/22 13:43:21] ppdet.engine INFO: Epoch: [169] [ 80/261] learning_rate: 0.119880 loss_vfl: 0.714586 loss_bbox: 0.265164 loss_dfl: 0.178413 loss: 1.156403 eta: 22:14:41 batch_cost: 2.3231 data_cost: 0.0012 ips: 24.1060 images/s [10/22 13:44:11] ppdet.engine INFO: Epoch: [169] [100/261] learning_rate: 0.119762 loss_vfl: 0.718148 loss_bbox: 0.259585 loss_dfl: 0.181181 loss: 1.149109 eta: 22:13:54 batch_cost: 2.3479 data_cost: 0.0013 ips: 23.8511 images/s [10/22 13:45:01] ppdet.engine INFO: Epoch: [169] [120/261] learning_rate: 0.119644 loss_vfl: 0.714141 loss_bbox: 0.254759 loss_dfl: 0.179604 loss: 1.153963 eta: 22:13:07 batch_cost: 2.2943 data_cost: 0.0014 ips: 24.4079 images/s [10/22 13:45:49] ppdet.engine INFO: Epoch: [169] [140/261] learning_rate: 0.119526 loss_vfl: 0.720224 loss_bbox: 0.265435 loss_dfl: 0.187632 loss: 1.174678 eta: 22:12:19 batch_cost: 2.2910 data_cost: 0.0013 ips: 24.4431 images/s [10/22 13:46:39] ppdet.engine INFO: Epoch: [169] [160/261] learning_rate: 0.119408 loss_vfl: 0.729800 loss_bbox: 0.257812 loss_dfl: 0.174808 loss: 1.168956 eta: 22:11:31 batch_cost: 2.3276 data_cost: 0.0013 ips: 24.0592 images/s [10/22 13:47:28] ppdet.engine INFO: Epoch: [169] [180/261] learning_rate: 0.119290 loss_vfl: 0.705626 loss_bbox: 0.265580 loss_dfl: 0.177226 loss: 1.134548 eta: 22:10:44 batch_cost: 2.3247 data_cost: 0.0014 ips: 24.0889 images/s [10/22 13:48:16] ppdet.engine INFO: Epoch: [169] [200/261] learning_rate: 0.119172 loss_vfl: 0.704225 loss_bbox: 0.269491 loss_dfl: 0.184193 loss: 1.170129 eta: 22:09:55 batch_cost: 2.2032 data_cost: 0.0013 ips: 25.4170 images/s [10/22 13:49:05] ppdet.engine INFO: Epoch: [169] [220/261] learning_rate: 0.119055 loss_vfl: 0.722904 loss_bbox: 0.271190 loss_dfl: 0.183333 loss: 1.171674 eta: 22:09:07 batch_cost: 2.2996 data_cost: 0.0012 ips: 24.3521 images/s [10/22 13:49:56] ppdet.engine INFO: Epoch: [169] [240/261] learning_rate: 0.118937 loss_vfl: 0.695961 loss_bbox: 0.271474 loss_dfl: 0.187294 loss: 1.156494 eta: 22:08:21 batch_cost: 2.3856 data_cost: 0.0013 ips: 23.4746 images/s [10/22 13:50:40] ppdet.engine INFO: Epoch: [169] [260/261] learning_rate: 0.118819 loss_vfl: 0.721221 loss_bbox: 0.280905 loss_dfl: 0.181831 loss: 1.176846 eta: 22:07:30 batch_cost: 2.0861 data_cost: 0.0013 ips: 26.8440 images/s [10/22 13:50:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 13:50:46] ppdet.engine INFO: Eval iter: 0 [10/22 13:51:15] ppdet.engine INFO: Eval iter: 100 [10/22 13:51:32] ppdet.engine INFO: Eval iter: 200 [10/22 13:51:48] ppdet.engine INFO: Eval iter: 300 [10/22 13:52:04] ppdet.engine INFO: Eval iter: 400 [10/22 13:52:20] ppdet.engine INFO: Eval iter: 500 [10/22 13:52:35] ppdet.engine INFO: Eval iter: 600 [10/22 13:52:49] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.97s) creating index... index created! [10/22 13:52:50] 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=71.55s). Accumulating evaluation results... DONE (t=12.35s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.351 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.514 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.367 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.149 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.379 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.551 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.298 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.469 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.500 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.239 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.563 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.727 [10/22 13:54:21] ppdet.engine INFO: Total sample number: 4952, averge FPS: 43.458947320816314 [10/22 13:54:21] ppdet.engine INFO: Best test bbox ap is 0.356. [10/22 13:54:24] ppdet.engine INFO: Epoch: [170] [ 0/261] learning_rate: 0.118813 loss_vfl: 0.721221 loss_bbox: 0.280905 loss_dfl: 0.185015 loss: 1.176846 eta: 22:07:28 batch_cost: 2.0772 data_cost: 0.0014 ips: 26.9595 images/s [10/22 13:55:20] ppdet.engine INFO: Epoch: [170] [ 20/261] learning_rate: 0.118696 loss_vfl: 0.679919 loss_bbox: 0.249355 loss_dfl: 0.178965 loss: 1.102529 eta: 22:06:45 batch_cost: 2.6014 data_cost: 0.0015 ips: 21.5269 images/s [10/22 13:56:07] ppdet.engine INFO: Epoch: [170] [ 40/261] learning_rate: 0.118578 loss_vfl: 0.724031 loss_bbox: 0.258625 loss_dfl: 0.181387 loss: 1.175758 eta: 22:05:56 batch_cost: 2.2523 data_cost: 0.0015 ips: 24.8633 images/s [10/22 13:56:55] ppdet.engine INFO: Epoch: [170] [ 60/261] learning_rate: 0.118460 loss_vfl: 0.720459 loss_bbox: 0.250538 loss_dfl: 0.175403 loss: 1.138818 eta: 22:05:07 batch_cost: 2.2226 data_cost: 0.0014 ips: 25.1962 images/s [10/22 13:57:47] ppdet.engine INFO: Epoch: [170] [ 80/261] learning_rate: 0.118342 loss_vfl: 0.715649 loss_bbox: 0.280620 loss_dfl: 0.182127 loss: 1.189317 eta: 22:04:21 batch_cost: 2.3592 data_cost: 0.0013 ips: 23.7367 images/s [10/22 13:58:35] ppdet.engine INFO: Epoch: [170] [100/261] learning_rate: 0.118225 loss_vfl: 0.706596 loss_bbox: 0.260784 loss_dfl: 0.181169 loss: 1.159830 eta: 22:03:33 batch_cost: 2.3257 data_cost: 0.0013 ips: 24.0787 images/s [10/22 13:59:22] ppdet.engine INFO: Epoch: [170] [120/261] learning_rate: 0.118107 loss_vfl: 0.708210 loss_bbox: 0.265444 loss_dfl: 0.182461 loss: 1.159632 eta: 22:02:45 batch_cost: 2.2300 data_cost: 0.0013 ips: 25.1122 images/s [10/22 14:00:11] ppdet.engine INFO: Epoch: [170] [140/261] learning_rate: 0.117990 loss_vfl: 0.711534 loss_bbox: 0.275182 loss_dfl: 0.178375 loss: 1.145511 eta: 22:01:58 batch_cost: 2.3393 data_cost: 0.0013 ips: 23.9388 images/s [10/22 14:00:59] ppdet.engine INFO: Epoch: [170] [160/261] learning_rate: 0.117872 loss_vfl: 0.712977 loss_bbox: 0.270706 loss_dfl: 0.184369 loss: 1.153894 eta: 22:01:08 batch_cost: 2.1808 data_cost: 0.0013 ips: 25.6784 images/s [10/22 14:01:47] ppdet.engine INFO: Epoch: [170] [180/261] learning_rate: 0.117754 loss_vfl: 0.712845 loss_bbox: 0.276543 loss_dfl: 0.180682 loss: 1.158812 eta: 22:00:20 batch_cost: 2.2680 data_cost: 0.0014 ips: 24.6912 images/s [10/22 14:02:37] ppdet.engine INFO: Epoch: [170] [200/261] learning_rate: 0.117637 loss_vfl: 0.724045 loss_bbox: 0.270209 loss_dfl: 0.187099 loss: 1.188672 eta: 21:59:33 batch_cost: 2.3140 data_cost: 0.0014 ips: 24.2005 images/s [10/22 14:03:24] ppdet.engine INFO: Epoch: [170] [220/261] learning_rate: 0.117519 loss_vfl: 0.717808 loss_bbox: 0.292691 loss_dfl: 0.191049 loss: 1.184899 eta: 21:58:44 batch_cost: 2.2479 data_cost: 0.0013 ips: 24.9116 images/s [10/22 14:04:13] ppdet.engine INFO: Epoch: [170] [240/261] learning_rate: 0.117402 loss_vfl: 0.718816 loss_bbox: 0.270737 loss_dfl: 0.192206 loss: 1.192471 eta: 21:57:56 batch_cost: 2.2853 data_cost: 0.0015 ips: 24.5050 images/s [10/22 14:04:55] ppdet.engine INFO: Epoch: [170] [260/261] learning_rate: 0.117284 loss_vfl: 0.707410 loss_bbox: 0.265436 loss_dfl: 0.178499 loss: 1.170192 eta: 21:57:04 batch_cost: 1.9894 data_cost: 0.0013 ips: 28.1498 images/s [10/22 14:05:20] ppdet.engine INFO: Epoch: [171] [ 0/261] learning_rate: 0.117279 loss_vfl: 0.707410 loss_bbox: 0.260663 loss_dfl: 0.175344 loss: 1.158144 eta: 21:57:14 batch_cost: 2.8440 data_cost: 0.5508 ips: 19.6908 images/s [10/22 14:06:12] ppdet.engine INFO: Epoch: [171] [ 20/261] learning_rate: 0.117161 loss_vfl: 0.694494 loss_bbox: 0.258347 loss_dfl: 0.179722 loss: 1.133527 eta: 21:56:29 batch_cost: 2.4651 data_cost: 0.0014 ips: 22.7172 images/s [10/22 14:07:00] ppdet.engine INFO: Epoch: [171] [ 40/261] learning_rate: 0.117044 loss_vfl: 0.696908 loss_bbox: 0.257463 loss_dfl: 0.180806 loss: 1.142123 eta: 21:55:42 batch_cost: 2.3296 data_cost: 0.0013 ips: 24.0381 images/s [10/22 14:07:49] ppdet.engine INFO: Epoch: [171] [ 60/261] learning_rate: 0.116926 loss_vfl: 0.709841 loss_bbox: 0.264673 loss_dfl: 0.173264 loss: 1.146846 eta: 21:54:55 batch_cost: 2.3169 data_cost: 0.0014 ips: 24.1701 images/s [10/22 14:08:40] ppdet.engine INFO: Epoch: [171] [ 80/261] learning_rate: 0.116809 loss_vfl: 0.702957 loss_bbox: 0.244869 loss_dfl: 0.173470 loss: 1.121991 eta: 21:54:08 batch_cost: 2.3791 data_cost: 0.0013 ips: 23.5386 images/s [10/22 14:09:31] ppdet.engine INFO: Epoch: [171] [100/261] learning_rate: 0.116691 loss_vfl: 0.716085 loss_bbox: 0.268736 loss_dfl: 0.181821 loss: 1.164904 eta: 21:53:22 batch_cost: 2.3808 data_cost: 0.0013 ips: 23.5217 images/s [10/22 14:10:20] ppdet.engine INFO: Epoch: [171] [120/261] learning_rate: 0.116574 loss_vfl: 0.701526 loss_bbox: 0.255044 loss_dfl: 0.171950 loss: 1.134167 eta: 21:52:34 batch_cost: 2.2952 data_cost: 0.0013 ips: 24.3990 images/s [10/22 14:11:09] ppdet.engine INFO: Epoch: [171] [140/261] learning_rate: 0.116457 loss_vfl: 0.722766 loss_bbox: 0.268529 loss_dfl: 0.185357 loss: 1.181346 eta: 21:51:46 batch_cost: 2.3071 data_cost: 0.0013 ips: 24.2726 images/s [10/22 14:12:01] ppdet.engine INFO: Epoch: [171] [160/261] learning_rate: 0.116339 loss_vfl: 0.702556 loss_bbox: 0.266334 loss_dfl: 0.181312 loss: 1.156855 eta: 21:51:01 batch_cost: 2.4184 data_cost: 0.0014 ips: 23.1560 images/s [10/22 14:12:54] ppdet.engine INFO: Epoch: [171] [180/261] learning_rate: 0.116222 loss_vfl: 0.714432 loss_bbox: 0.286603 loss_dfl: 0.194172 loss: 1.189680 eta: 21:50:15 batch_cost: 2.4578 data_cost: 0.0014 ips: 22.7846 images/s [10/22 14:13:44] ppdet.engine INFO: Epoch: [171] [200/261] learning_rate: 0.116105 loss_vfl: 0.715780 loss_bbox: 0.268061 loss_dfl: 0.178620 loss: 1.169212 eta: 21:49:29 batch_cost: 2.3671 data_cost: 0.0014 ips: 23.6579 images/s [10/22 14:14:33] ppdet.engine INFO: Epoch: [171] [220/261] learning_rate: 0.115988 loss_vfl: 0.708406 loss_bbox: 0.261576 loss_dfl: 0.182529 loss: 1.154716 eta: 21:48:41 batch_cost: 2.2860 data_cost: 0.0014 ips: 24.4971 images/s [10/22 14:15:22] ppdet.engine INFO: Epoch: [171] [240/261] learning_rate: 0.115870 loss_vfl: 0.710075 loss_bbox: 0.292193 loss_dfl: 0.186338 loss: 1.180466 eta: 21:47:53 batch_cost: 2.2729 data_cost: 0.0013 ips: 24.6385 images/s [10/22 14:16:06] ppdet.engine INFO: Epoch: [171] [260/261] learning_rate: 0.115753 loss_vfl: 0.726215 loss_bbox: 0.263442 loss_dfl: 0.175477 loss: 1.179106 eta: 21:47:01 batch_cost: 2.0513 data_cost: 0.0012 ips: 27.2996 images/s [10/22 14:16:27] ppdet.engine INFO: Epoch: [172] [ 0/261] learning_rate: 0.115747 loss_vfl: 0.726215 loss_bbox: 0.266307 loss_dfl: 0.177016 loss: 1.179106 eta: 21:47:09 batch_cost: 2.6998 data_cost: 0.4762 ips: 20.7427 images/s [10/22 14:17:23] ppdet.engine INFO: Epoch: [172] [ 20/261] learning_rate: 0.115630 loss_vfl: 0.706161 loss_bbox: 0.260316 loss_dfl: 0.179382 loss: 1.162188 eta: 21:46:26 batch_cost: 2.6408 data_cost: 0.0013 ips: 21.2053 images/s [10/22 14:18:11] ppdet.engine INFO: Epoch: [172] [ 40/261] learning_rate: 0.115513 loss_vfl: 0.711390 loss_bbox: 0.247468 loss_dfl: 0.174211 loss: 1.131349 eta: 21:45:38 batch_cost: 2.2759 data_cost: 0.0014 ips: 24.6053 images/s [10/22 14:19:00] ppdet.engine INFO: Epoch: [172] [ 60/261] learning_rate: 0.115396 loss_vfl: 0.707169 loss_bbox: 0.269412 loss_dfl: 0.187603 loss: 1.173355 eta: 21:44:51 batch_cost: 2.3282 data_cost: 0.0014 ips: 24.0534 images/s [10/22 14:19:48] ppdet.engine INFO: Epoch: [172] [ 80/261] learning_rate: 0.115279 loss_vfl: 0.683454 loss_bbox: 0.237798 loss_dfl: 0.176820 loss: 1.120582 eta: 21:44:03 batch_cost: 2.2719 data_cost: 0.0013 ips: 24.6489 images/s [10/22 14:20:36] ppdet.engine INFO: Epoch: [172] [100/261] learning_rate: 0.115162 loss_vfl: 0.703003 loss_bbox: 0.286431 loss_dfl: 0.190418 loss: 1.171963 eta: 21:43:14 batch_cost: 2.2108 data_cost: 0.0013 ips: 25.3301 images/s [10/22 14:21:24] ppdet.engine INFO: Epoch: [172] [120/261] learning_rate: 0.115045 loss_vfl: 0.704335 loss_bbox: 0.274960 loss_dfl: 0.191189 loss: 1.173010 eta: 21:42:27 batch_cost: 2.3193 data_cost: 0.0013 ips: 24.1447 images/s [10/22 14:22:11] ppdet.engine INFO: Epoch: [172] [140/261] learning_rate: 0.114928 loss_vfl: 0.714239 loss_bbox: 0.280610 loss_dfl: 0.192093 loss: 1.199211 eta: 21:41:39 batch_cost: 2.2658 data_cost: 0.0014 ips: 24.7149 images/s [10/22 14:23:04] ppdet.engine INFO: Epoch: [172] [160/261] learning_rate: 0.114811 loss_vfl: 0.709260 loss_bbox: 0.263952 loss_dfl: 0.181099 loss: 1.143567 eta: 21:40:54 batch_cost: 2.4804 data_cost: 0.0013 ips: 22.5773 images/s [10/22 14:23:51] ppdet.engine INFO: Epoch: [172] [180/261] learning_rate: 0.114694 loss_vfl: 0.712774 loss_bbox: 0.261133 loss_dfl: 0.180343 loss: 1.155988 eta: 21:40:05 batch_cost: 2.2517 data_cost: 0.0014 ips: 24.8696 images/s [10/22 14:24:37] ppdet.engine INFO: Epoch: [172] [200/261] learning_rate: 0.114577 loss_vfl: 0.721077 loss_bbox: 0.274549 loss_dfl: 0.181151 loss: 1.170627 eta: 21:39:15 batch_cost: 2.1207 data_cost: 0.0029 ips: 26.4067 images/s [10/22 14:25:23] ppdet.engine INFO: Epoch: [172] [220/261] learning_rate: 0.114460 loss_vfl: 0.718051 loss_bbox: 0.275272 loss_dfl: 0.187492 loss: 1.148745 eta: 21:38:26 batch_cost: 2.1893 data_cost: 0.0014 ips: 25.5787 images/s [10/22 14:26:14] ppdet.engine INFO: Epoch: [172] [240/261] learning_rate: 0.114343 loss_vfl: 0.698699 loss_bbox: 0.269291 loss_dfl: 0.183885 loss: 1.175992 eta: 21:37:40 batch_cost: 2.4525 data_cost: 0.0014 ips: 22.8338 images/s [10/22 14:26:58] ppdet.engine INFO: Epoch: [172] [260/261] learning_rate: 0.114226 loss_vfl: 0.732086 loss_bbox: 0.277395 loss_dfl: 0.180814 loss: 1.182610 eta: 21:36:49 batch_cost: 2.0700 data_cost: 0.0013 ips: 27.0535 images/s [10/22 14:27:20] ppdet.engine INFO: Epoch: [173] [ 0/261] learning_rate: 0.114220 loss_vfl: 0.726867 loss_bbox: 0.277395 loss_dfl: 0.180436 loss: 1.182610 eta: 21:36:57 batch_cost: 2.8124 data_cost: 0.4593 ips: 19.9115 images/s [10/22 14:28:18] ppdet.engine INFO: Epoch: [173] [ 20/261] learning_rate: 0.114103 loss_vfl: 0.700015 loss_bbox: 0.259590 loss_dfl: 0.182269 loss: 1.131699 eta: 21:36:15 batch_cost: 2.6643 data_cost: 0.0012 ips: 21.0188 images/s [10/22 14:29:08] ppdet.engine INFO: Epoch: [173] [ 40/261] learning_rate: 0.113986 loss_vfl: 0.708143 loss_bbox: 0.265801 loss_dfl: 0.182558 loss: 1.160666 eta: 21:35:28 batch_cost: 2.3156 data_cost: 0.0013 ips: 24.1841 images/s [10/22 14:29:56] ppdet.engine INFO: Epoch: [173] [ 60/261] learning_rate: 0.113869 loss_vfl: 0.704198 loss_bbox: 0.262170 loss_dfl: 0.184421 loss: 1.152230 eta: 21:34:39 batch_cost: 2.2536 data_cost: 0.0013 ips: 24.8496 images/s [10/22 14:30:44] ppdet.engine INFO: Epoch: [173] [ 80/261] learning_rate: 0.113753 loss_vfl: 0.706512 loss_bbox: 0.247914 loss_dfl: 0.171606 loss: 1.129206 eta: 21:33:50 batch_cost: 2.1697 data_cost: 0.0013 ips: 25.8102 images/s [10/22 14:31:34] ppdet.engine INFO: Epoch: [173] [100/261] learning_rate: 0.113636 loss_vfl: 0.715765 loss_bbox: 0.285843 loss_dfl: 0.189073 loss: 1.187841 eta: 21:33:03 batch_cost: 2.3397 data_cost: 0.0014 ips: 23.9345 images/s [10/22 14:32:22] ppdet.engine INFO: Epoch: [173] [120/261] learning_rate: 0.113519 loss_vfl: 0.708713 loss_bbox: 0.281938 loss_dfl: 0.185443 loss: 1.188487 eta: 21:32:15 batch_cost: 2.3266 data_cost: 0.0014 ips: 24.0696 images/s [10/22 14:33:10] ppdet.engine INFO: Epoch: [173] [140/261] learning_rate: 0.113402 loss_vfl: 0.702223 loss_bbox: 0.261798 loss_dfl: 0.179915 loss: 1.149942 eta: 21:31:26 batch_cost: 2.2054 data_cost: 0.0013 ips: 25.3925 images/s [10/22 14:34:00] ppdet.engine INFO: Epoch: [173] [160/261] learning_rate: 0.113286 loss_vfl: 0.695712 loss_bbox: 0.279246 loss_dfl: 0.182875 loss: 1.165997 eta: 21:30:39 batch_cost: 2.3324 data_cost: 0.0014 ips: 24.0099 images/s [10/22 14:34:49] ppdet.engine INFO: Epoch: [173] [180/261] learning_rate: 0.113169 loss_vfl: 0.722407 loss_bbox: 0.284417 loss_dfl: 0.192476 loss: 1.184621 eta: 21:29:52 batch_cost: 2.3012 data_cost: 0.0013 ips: 24.3352 images/s [10/22 14:35:39] ppdet.engine INFO: Epoch: [173] [200/261] learning_rate: 0.113052 loss_vfl: 0.713466 loss_bbox: 0.276443 loss_dfl: 0.186948 loss: 1.183709 eta: 21:29:05 batch_cost: 2.3984 data_cost: 0.0013 ips: 23.3490 images/s [10/22 14:36:27] ppdet.engine INFO: Epoch: [173] [220/261] learning_rate: 0.112936 loss_vfl: 0.712677 loss_bbox: 0.261491 loss_dfl: 0.176105 loss: 1.142287 eta: 21:28:17 batch_cost: 2.2387 data_cost: 0.0014 ips: 25.0149 images/s [10/22 14:37:18] ppdet.engine INFO: Epoch: [173] [240/261] learning_rate: 0.112819 loss_vfl: 0.716505 loss_bbox: 0.271965 loss_dfl: 0.183535 loss: 1.168521 eta: 21:27:31 batch_cost: 2.4422 data_cost: 0.0013 ips: 22.9304 images/s [10/22 14:38:02] ppdet.engine INFO: Epoch: [173] [260/261] learning_rate: 0.112702 loss_vfl: 0.712734 loss_bbox: 0.269393 loss_dfl: 0.188934 loss: 1.173528 eta: 21:26:40 batch_cost: 2.0868 data_cost: 0.0012 ips: 26.8356 images/s [10/22 14:38:26] ppdet.engine INFO: Epoch: [174] [ 0/261] learning_rate: 0.112697 loss_vfl: 0.712734 loss_bbox: 0.269393 loss_dfl: 0.188934 loss: 1.173528 eta: 21:26:49 batch_cost: 2.8566 data_cost: 0.2206 ips: 19.6037 images/s [10/22 14:39:20] ppdet.engine INFO: Epoch: [174] [ 20/261] learning_rate: 0.112580 loss_vfl: 0.712506 loss_bbox: 0.283135 loss_dfl: 0.189775 loss: 1.178970 eta: 21:26:05 batch_cost: 2.5580 data_cost: 0.0014 ips: 21.8919 images/s [10/22 14:40:10] ppdet.engine INFO: Epoch: [174] [ 40/261] learning_rate: 0.112463 loss_vfl: 0.691690 loss_bbox: 0.267261 loss_dfl: 0.181643 loss: 1.160652 eta: 21:25:18 batch_cost: 2.3379 data_cost: 0.0013 ips: 23.9531 images/s [10/22 14:40:58] ppdet.engine INFO: Epoch: [174] [ 60/261] learning_rate: 0.112347 loss_vfl: 0.687153 loss_bbox: 0.266820 loss_dfl: 0.185807 loss: 1.147052 eta: 21:24:30 batch_cost: 2.2903 data_cost: 0.0014 ips: 24.4508 images/s [10/22 14:41:49] ppdet.engine INFO: Epoch: [174] [ 80/261] learning_rate: 0.112230 loss_vfl: 0.720104 loss_bbox: 0.273667 loss_dfl: 0.185104 loss: 1.175212 eta: 21:23:44 batch_cost: 2.3887 data_cost: 0.0013 ips: 23.4435 images/s [10/22 14:42:36] ppdet.engine INFO: Epoch: [174] [100/261] learning_rate: 0.112114 loss_vfl: 0.701681 loss_bbox: 0.263747 loss_dfl: 0.178651 loss: 1.144304 eta: 21:22:55 batch_cost: 2.2192 data_cost: 0.0013 ips: 25.2345 images/s [10/22 14:43:28] ppdet.engine INFO: Epoch: [174] [120/261] learning_rate: 0.111997 loss_vfl: 0.701893 loss_bbox: 0.269789 loss_dfl: 0.182327 loss: 1.157473 eta: 21:22:10 batch_cost: 2.4701 data_cost: 0.0013 ips: 22.6708 images/s [10/22 14:44:18] ppdet.engine INFO: Epoch: [174] [140/261] learning_rate: 0.111881 loss_vfl: 0.697462 loss_bbox: 0.269735 loss_dfl: 0.188378 loss: 1.155042 eta: 21:21:23 batch_cost: 2.3617 data_cost: 0.0013 ips: 23.7119 images/s [10/22 14:45:08] ppdet.engine INFO: Epoch: [174] [160/261] learning_rate: 0.111765 loss_vfl: 0.716069 loss_bbox: 0.262013 loss_dfl: 0.182454 loss: 1.165999 eta: 21:20:37 batch_cost: 2.4019 data_cost: 0.0013 ips: 23.3150 images/s [10/22 14:45:56] ppdet.engine INFO: Epoch: [174] [180/261] learning_rate: 0.111648 loss_vfl: 0.718352 loss_bbox: 0.273752 loss_dfl: 0.178907 loss: 1.164094 eta: 21:19:48 batch_cost: 2.2008 data_cost: 0.0013 ips: 25.4451 images/s [10/22 14:46:44] ppdet.engine INFO: Epoch: [174] [200/261] learning_rate: 0.111532 loss_vfl: 0.721109 loss_bbox: 0.270761 loss_dfl: 0.176886 loss: 1.171248 eta: 21:19:00 batch_cost: 2.2840 data_cost: 0.0013 ips: 24.5180 images/s [10/22 14:47:33] ppdet.engine INFO: Epoch: [174] [220/261] learning_rate: 0.111416 loss_vfl: 0.717420 loss_bbox: 0.280658 loss_dfl: 0.187691 loss: 1.187175 eta: 21:18:12 batch_cost: 2.2668 data_cost: 0.0014 ips: 24.7042 images/s [10/22 14:48:23] ppdet.engine INFO: Epoch: [174] [240/261] learning_rate: 0.111299 loss_vfl: 0.716748 loss_bbox: 0.274503 loss_dfl: 0.184903 loss: 1.181217 eta: 21:17:26 batch_cost: 2.4135 data_cost: 0.0013 ips: 23.2028 images/s [10/22 14:49:06] ppdet.engine INFO: Epoch: [174] [260/261] learning_rate: 0.111183 loss_vfl: 0.704974 loss_bbox: 0.273538 loss_dfl: 0.187468 loss: 1.176455 eta: 21:16:34 batch_cost: 2.0024 data_cost: 0.0013 ips: 27.9668 images/s [10/22 14:49:31] ppdet.engine INFO: Epoch: [175] [ 0/261] learning_rate: 0.111177 loss_vfl: 0.704974 loss_bbox: 0.273538 loss_dfl: 0.187468 loss: 1.177334 eta: 21:16:44 batch_cost: 2.8715 data_cost: 0.4084 ips: 19.5022 images/s [10/22 14:50:27] ppdet.engine INFO: Epoch: [175] [ 20/261] learning_rate: 0.111061 loss_vfl: 0.697859 loss_bbox: 0.266186 loss_dfl: 0.181729 loss: 1.156590 eta: 21:16:00 batch_cost: 2.5469 data_cost: 0.0013 ips: 21.9872 images/s [10/22 14:51:14] ppdet.engine INFO: Epoch: [175] [ 40/261] learning_rate: 0.110945 loss_vfl: 0.710893 loss_bbox: 0.263101 loss_dfl: 0.187608 loss: 1.153550 eta: 21:15:12 batch_cost: 2.2627 data_cost: 0.0013 ips: 24.7490 images/s [10/22 14:52:02] ppdet.engine INFO: Epoch: [175] [ 60/261] learning_rate: 0.110828 loss_vfl: 0.710880 loss_bbox: 0.273023 loss_dfl: 0.186955 loss: 1.182272 eta: 21:14:23 batch_cost: 2.2374 data_cost: 0.0013 ips: 25.0288 images/s [10/22 14:52:49] ppdet.engine INFO: Epoch: [175] [ 80/261] learning_rate: 0.110712 loss_vfl: 0.701996 loss_bbox: 0.256675 loss_dfl: 0.178400 loss: 1.136194 eta: 21:13:35 batch_cost: 2.2643 data_cost: 0.0101 ips: 24.7313 images/s [10/22 14:53:39] ppdet.engine INFO: Epoch: [175] [100/261] learning_rate: 0.110596 loss_vfl: 0.698510 loss_bbox: 0.286302 loss_dfl: 0.187456 loss: 1.167845 eta: 21:12:47 batch_cost: 2.2967 data_cost: 0.0013 ips: 24.3829 images/s [10/22 14:54:30] ppdet.engine INFO: Epoch: [175] [120/261] learning_rate: 0.110480 loss_vfl: 0.696034 loss_bbox: 0.244361 loss_dfl: 0.181023 loss: 1.115878 eta: 21:12:01 batch_cost: 2.3678 data_cost: 0.0013 ips: 23.6504 images/s [10/22 14:55:17] ppdet.engine INFO: Epoch: [175] [140/261] learning_rate: 0.110364 loss_vfl: 0.707247 loss_bbox: 0.279089 loss_dfl: 0.182747 loss: 1.178062 eta: 21:11:12 batch_cost: 2.2071 data_cost: 0.0014 ips: 25.3731 images/s [10/22 14:56:09] ppdet.engine INFO: Epoch: [175] [160/261] learning_rate: 0.110248 loss_vfl: 0.730330 loss_bbox: 0.262711 loss_dfl: 0.180617 loss: 1.167646 eta: 21:10:26 batch_cost: 2.4563 data_cost: 0.0013 ips: 22.7982 images/s [10/22 14:57:00] ppdet.engine INFO: Epoch: [175] [180/261] learning_rate: 0.110132 loss_vfl: 0.697705 loss_bbox: 0.265493 loss_dfl: 0.178261 loss: 1.135640 eta: 21:09:40 batch_cost: 2.4311 data_cost: 0.0013 ips: 23.0350 images/s [10/22 14:57:50] ppdet.engine INFO: Epoch: [175] [200/261] learning_rate: 0.110016 loss_vfl: 0.707207 loss_bbox: 0.266625 loss_dfl: 0.176768 loss: 1.139932 eta: 21:08:53 batch_cost: 2.3479 data_cost: 0.0014 ips: 23.8507 images/s [10/22 14:58:38] ppdet.engine INFO: Epoch: [175] [220/261] learning_rate: 0.109900 loss_vfl: 0.713638 loss_bbox: 0.247513 loss_dfl: 0.177019 loss: 1.135151 eta: 21:08:06 batch_cost: 2.2829 data_cost: 0.0013 ips: 24.5298 images/s [10/22 14:59:27] ppdet.engine INFO: Epoch: [175] [240/261] learning_rate: 0.109784 loss_vfl: 0.719615 loss_bbox: 0.251824 loss_dfl: 0.178485 loss: 1.141426 eta: 21:07:18 batch_cost: 2.3280 data_cost: 0.0013 ips: 24.0547 images/s [10/22 15:00:10] ppdet.engine INFO: Epoch: [175] [260/261] learning_rate: 0.109668 loss_vfl: 0.699084 loss_bbox: 0.276863 loss_dfl: 0.190802 loss: 1.169115 eta: 21:06:27 batch_cost: 2.0506 data_cost: 0.0011 ips: 27.3087 images/s [10/22 15:00:34] ppdet.engine INFO: Epoch: [176] [ 0/261] learning_rate: 0.109662 loss_vfl: 0.699084 loss_bbox: 0.276863 loss_dfl: 0.188671 loss: 1.169115 eta: 21:06:36 batch_cost: 2.8198 data_cost: 0.3602 ips: 19.8593 images/s [10/22 15:01:30] ppdet.engine INFO: Epoch: [176] [ 20/261] learning_rate: 0.109546 loss_vfl: 0.710191 loss_bbox: 0.270536 loss_dfl: 0.185421 loss: 1.160891 eta: 21:05:52 batch_cost: 2.5749 data_cost: 0.0013 ips: 21.7486 images/s [10/22 15:02:17] ppdet.engine INFO: Epoch: [176] [ 40/261] learning_rate: 0.109430 loss_vfl: 0.691290 loss_bbox: 0.276343 loss_dfl: 0.187804 loss: 1.169238 eta: 21:05:04 batch_cost: 2.2537 data_cost: 0.0014 ips: 24.8482 images/s [10/22 15:03:06] ppdet.engine INFO: Epoch: [176] [ 60/261] learning_rate: 0.109314 loss_vfl: 0.700972 loss_bbox: 0.277261 loss_dfl: 0.184615 loss: 1.166090 eta: 21:04:16 batch_cost: 2.2780 data_cost: 0.0014 ips: 24.5831 images/s [10/22 15:03:57] ppdet.engine INFO: Epoch: [176] [ 80/261] learning_rate: 0.109199 loss_vfl: 0.699571 loss_bbox: 0.251336 loss_dfl: 0.183273 loss: 1.129735 eta: 21:03:30 batch_cost: 2.4379 data_cost: 0.0013 ips: 22.9702 images/s [10/22 15:04:44] ppdet.engine INFO: Epoch: [176] [100/261] learning_rate: 0.109083 loss_vfl: 0.707035 loss_bbox: 0.260127 loss_dfl: 0.176339 loss: 1.149416 eta: 21:02:42 batch_cost: 2.2317 data_cost: 0.0014 ips: 25.0931 images/s [10/22 15:05:33] ppdet.engine INFO: Epoch: [176] [120/261] learning_rate: 0.108967 loss_vfl: 0.698465 loss_bbox: 0.267305 loss_dfl: 0.182671 loss: 1.142131 eta: 21:01:55 batch_cost: 2.3622 data_cost: 0.0013 ips: 23.7063 images/s [10/22 15:06:23] ppdet.engine INFO: Epoch: [176] [140/261] learning_rate: 0.108851 loss_vfl: 0.687252 loss_bbox: 0.256293 loss_dfl: 0.171153 loss: 1.118164 eta: 21:01:07 batch_cost: 2.2776 data_cost: 0.0013 ips: 24.5871 images/s [10/22 15:07:13] ppdet.engine INFO: Epoch: [176] [160/261] learning_rate: 0.108735 loss_vfl: 0.714024 loss_bbox: 0.272031 loss_dfl: 0.183631 loss: 1.179689 eta: 21:00:20 batch_cost: 2.3707 data_cost: 0.0013 ips: 23.6217 images/s [10/22 15:08:03] ppdet.engine INFO: Epoch: [176] [180/261] learning_rate: 0.108620 loss_vfl: 0.709780 loss_bbox: 0.281558 loss_dfl: 0.185236 loss: 1.173460 eta: 20:59:34 batch_cost: 2.3756 data_cost: 0.0013 ips: 23.5732 images/s [10/22 15:08:51] ppdet.engine INFO: Epoch: [176] [200/261] learning_rate: 0.108504 loss_vfl: 0.700612 loss_bbox: 0.293797 loss_dfl: 0.190099 loss: 1.183760 eta: 20:58:46 batch_cost: 2.2572 data_cost: 0.0013 ips: 24.8095 images/s [10/22 15:09:41] ppdet.engine INFO: Epoch: [176] [220/261] learning_rate: 0.108388 loss_vfl: 0.713110 loss_bbox: 0.253789 loss_dfl: 0.172022 loss: 1.153553 eta: 20:57:59 batch_cost: 2.3663 data_cost: 0.0013 ips: 23.6652 images/s [10/22 15:10:30] ppdet.engine INFO: Epoch: [176] [240/261] learning_rate: 0.108273 loss_vfl: 0.727021 loss_bbox: 0.290730 loss_dfl: 0.183740 loss: 1.173981 eta: 20:57:11 batch_cost: 2.2933 data_cost: 0.0015 ips: 24.4185 images/s [10/22 15:11:14] ppdet.engine INFO: Epoch: [176] [260/261] learning_rate: 0.108157 loss_vfl: 0.709942 loss_bbox: 0.272606 loss_dfl: 0.184940 loss: 1.171038 eta: 20:56:21 batch_cost: 2.1291 data_cost: 0.0012 ips: 26.3016 images/s [10/22 15:11:39] ppdet.engine INFO: Epoch: [177] [ 0/261] learning_rate: 0.108151 loss_vfl: 0.709942 loss_bbox: 0.272606 loss_dfl: 0.183490 loss: 1.171038 eta: 20:56:30 batch_cost: 2.8950 data_cost: 0.5323 ips: 19.3436 images/s [10/22 15:12:36] ppdet.engine INFO: Epoch: [177] [ 20/261] learning_rate: 0.108036 loss_vfl: 0.703980 loss_bbox: 0.262518 loss_dfl: 0.180629 loss: 1.144577 eta: 20:55:49 batch_cost: 2.7288 data_cost: 0.0013 ips: 20.5217 images/s [10/22 15:13:24] ppdet.engine INFO: Epoch: [177] [ 40/261] learning_rate: 0.107920 loss_vfl: 0.706211 loss_bbox: 0.264714 loss_dfl: 0.184513 loss: 1.153565 eta: 20:55:00 batch_cost: 2.2588 data_cost: 0.0013 ips: 24.7916 images/s [10/22 15:14:13] ppdet.engine INFO: Epoch: [177] [ 60/261] learning_rate: 0.107805 loss_vfl: 0.711662 loss_bbox: 0.268572 loss_dfl: 0.187437 loss: 1.160466 eta: 20:54:13 batch_cost: 2.3400 data_cost: 0.0013 ips: 23.9315 images/s [10/22 15:15:01] ppdet.engine INFO: Epoch: [177] [ 80/261] learning_rate: 0.107689 loss_vfl: 0.695748 loss_bbox: 0.263604 loss_dfl: 0.180935 loss: 1.139747 eta: 20:53:25 batch_cost: 2.2588 data_cost: 0.0013 ips: 24.7915 images/s [10/22 15:15:50] ppdet.engine INFO: Epoch: [177] [100/261] learning_rate: 0.107574 loss_vfl: 0.701626 loss_bbox: 0.276285 loss_dfl: 0.194249 loss: 1.155037 eta: 20:52:37 batch_cost: 2.2695 data_cost: 0.0013 ips: 24.6747 images/s [10/22 15:16:39] ppdet.engine INFO: Epoch: [177] [120/261] learning_rate: 0.107458 loss_vfl: 0.708488 loss_bbox: 0.271328 loss_dfl: 0.187455 loss: 1.180857 eta: 20:51:49 batch_cost: 2.2814 data_cost: 0.0014 ips: 24.5459 images/s [10/22 15:17:28] ppdet.engine INFO: Epoch: [177] [140/261] learning_rate: 0.107343 loss_vfl: 0.698906 loss_bbox: 0.263862 loss_dfl: 0.180287 loss: 1.146084 eta: 20:51:02 batch_cost: 2.3122 data_cost: 0.0013 ips: 24.2189 images/s [10/22 15:18:18] ppdet.engine INFO: Epoch: [177] [160/261] learning_rate: 0.107227 loss_vfl: 0.711631 loss_bbox: 0.262041 loss_dfl: 0.179015 loss: 1.148583 eta: 20:50:14 batch_cost: 2.3127 data_cost: 0.0013 ips: 24.2138 images/s [10/22 15:19:08] ppdet.engine INFO: Epoch: [177] [180/261] learning_rate: 0.107112 loss_vfl: 0.703696 loss_bbox: 0.278137 loss_dfl: 0.182492 loss: 1.150884 eta: 20:49:28 batch_cost: 2.3754 data_cost: 0.0013 ips: 23.5746 images/s [10/22 15:19:57] ppdet.engine INFO: Epoch: [177] [200/261] learning_rate: 0.106997 loss_vfl: 0.709288 loss_bbox: 0.250714 loss_dfl: 0.176330 loss: 1.137177 eta: 20:48:40 batch_cost: 2.3396 data_cost: 0.0013 ips: 23.9358 images/s [10/22 15:20:45] ppdet.engine INFO: Epoch: [177] [220/261] learning_rate: 0.106882 loss_vfl: 0.690287 loss_bbox: 0.266236 loss_dfl: 0.173159 loss: 1.121286 eta: 20:47:52 batch_cost: 2.2576 data_cost: 0.0013 ips: 24.8053 images/s [10/22 15:21:33] ppdet.engine INFO: Epoch: [177] [240/261] learning_rate: 0.106766 loss_vfl: 0.708076 loss_bbox: 0.289403 loss_dfl: 0.191365 loss: 1.197126 eta: 20:47:04 batch_cost: 2.2173 data_cost: 0.0013 ips: 25.2556 images/s [10/22 15:22:15] ppdet.engine INFO: Epoch: [177] [260/261] learning_rate: 0.106651 loss_vfl: 0.705288 loss_bbox: 0.263774 loss_dfl: 0.186303 loss: 1.160482 eta: 20:46:12 batch_cost: 2.0044 data_cost: 0.0013 ips: 27.9388 images/s [10/22 15:22:38] ppdet.engine INFO: Epoch: [178] [ 0/261] learning_rate: 0.106645 loss_vfl: 0.706429 loss_bbox: 0.261113 loss_dfl: 0.184139 loss: 1.157829 eta: 20:46:19 batch_cost: 2.6900 data_cost: 0.3837 ips: 20.8180 images/s [10/22 15:23:34] ppdet.engine INFO: Epoch: [178] [ 20/261] learning_rate: 0.106530 loss_vfl: 0.691724 loss_bbox: 0.265815 loss_dfl: 0.182572 loss: 1.163605 eta: 20:45:37 batch_cost: 2.7158 data_cost: 0.0013 ips: 20.6203 images/s [10/22 15:24:24] ppdet.engine INFO: Epoch: [178] [ 40/261] learning_rate: 0.106415 loss_vfl: 0.708139 loss_bbox: 0.264154 loss_dfl: 0.194482 loss: 1.163268 eta: 20:44:51 batch_cost: 2.3695 data_cost: 0.0014 ips: 23.6332 images/s [10/22 15:25:15] ppdet.engine INFO: Epoch: [178] [ 60/261] learning_rate: 0.106300 loss_vfl: 0.708218 loss_bbox: 0.251331 loss_dfl: 0.175364 loss: 1.136415 eta: 20:44:04 batch_cost: 2.4050 data_cost: 0.0013 ips: 23.2847 images/s [10/22 15:26:04] ppdet.engine INFO: Epoch: [178] [ 80/261] learning_rate: 0.106185 loss_vfl: 0.693649 loss_bbox: 0.274666 loss_dfl: 0.191280 loss: 1.173428 eta: 20:43:17 batch_cost: 2.3173 data_cost: 0.0013 ips: 24.1657 images/s [10/22 15:26:54] ppdet.engine INFO: Epoch: [178] [100/261] learning_rate: 0.106069 loss_vfl: 0.706094 loss_bbox: 0.287708 loss_dfl: 0.190383 loss: 1.188558 eta: 20:42:30 batch_cost: 2.3316 data_cost: 0.0014 ips: 24.0175 images/s [10/22 15:27:43] ppdet.engine INFO: Epoch: [178] [120/261] learning_rate: 0.105954 loss_vfl: 0.701928 loss_bbox: 0.264426 loss_dfl: 0.180534 loss: 1.152417 eta: 20:41:43 batch_cost: 2.3247 data_cost: 0.0014 ips: 24.0892 images/s [10/22 15:28:30] ppdet.engine INFO: Epoch: [178] [140/261] learning_rate: 0.105839 loss_vfl: 0.694397 loss_bbox: 0.259056 loss_dfl: 0.182892 loss: 1.145400 eta: 20:40:54 batch_cost: 2.1994 data_cost: 0.0013 ips: 25.4617 images/s [10/22 15:29:18] ppdet.engine INFO: Epoch: [178] [160/261] learning_rate: 0.105724 loss_vfl: 0.707340 loss_bbox: 0.273705 loss_dfl: 0.183975 loss: 1.161393 eta: 20:40:05 batch_cost: 2.2119 data_cost: 0.0014 ips: 25.3180 images/s [10/22 15:30:05] ppdet.engine INFO: Epoch: [178] [180/261] learning_rate: 0.105609 loss_vfl: 0.701869 loss_bbox: 0.287361 loss_dfl: 0.188428 loss: 1.172490 eta: 20:39:16 batch_cost: 2.2258 data_cost: 0.0014 ips: 25.1593 images/s [10/22 15:30:53] ppdet.engine INFO: Epoch: [178] [200/261] learning_rate: 0.105494 loss_vfl: 0.716239 loss_bbox: 0.265944 loss_dfl: 0.179494 loss: 1.167834 eta: 20:38:27 batch_cost: 2.2044 data_cost: 0.0013 ips: 25.4034 images/s [10/22 15:31:45] ppdet.engine INFO: Epoch: [178] [220/261] learning_rate: 0.105379 loss_vfl: 0.694862 loss_bbox: 0.262039 loss_dfl: 0.173019 loss: 1.148916 eta: 20:37:41 batch_cost: 2.3815 data_cost: 0.0013 ips: 23.5145 images/s [10/22 15:32:32] ppdet.engine INFO: Epoch: [178] [240/261] learning_rate: 0.105264 loss_vfl: 0.715297 loss_bbox: 0.278983 loss_dfl: 0.182980 loss: 1.178956 eta: 20:36:52 batch_cost: 2.2341 data_cost: 0.0013 ips: 25.0656 images/s [10/22 15:33:15] ppdet.engine INFO: Epoch: [178] [260/261] learning_rate: 0.105150 loss_vfl: 0.694524 loss_bbox: 0.267043 loss_dfl: 0.184262 loss: 1.140749 eta: 20:36:01 batch_cost: 2.0079 data_cost: 0.0012 ips: 27.8904 images/s [10/22 15:33:40] ppdet.engine INFO: Epoch: [179] [ 0/261] learning_rate: 0.105144 loss_vfl: 0.693578 loss_bbox: 0.267043 loss_dfl: 0.184262 loss: 1.137145 eta: 20:36:10 batch_cost: 2.8870 data_cost: 0.4809 ips: 19.3970 images/s [10/22 15:34:31] ppdet.engine INFO: Epoch: [179] [ 20/261] learning_rate: 0.105029 loss_vfl: 0.700666 loss_bbox: 0.255061 loss_dfl: 0.174928 loss: 1.142259 eta: 20:35:24 batch_cost: 2.4113 data_cost: 0.0013 ips: 23.2237 images/s [10/22 15:35:19] ppdet.engine INFO: Epoch: [179] [ 40/261] learning_rate: 0.104914 loss_vfl: 0.698683 loss_bbox: 0.273195 loss_dfl: 0.179739 loss: 1.146694 eta: 20:34:35 batch_cost: 2.2398 data_cost: 0.0013 ips: 25.0025 images/s [10/22 15:36:05] ppdet.engine INFO: Epoch: [179] [ 60/261] learning_rate: 0.104799 loss_vfl: 0.690293 loss_bbox: 0.272488 loss_dfl: 0.190001 loss: 1.170532 eta: 20:33:46 batch_cost: 2.1904 data_cost: 0.0014 ips: 25.5657 images/s [10/22 15:36:54] ppdet.engine INFO: Epoch: [179] [ 80/261] learning_rate: 0.104685 loss_vfl: 0.707868 loss_bbox: 0.257335 loss_dfl: 0.185623 loss: 1.141899 eta: 20:32:59 batch_cost: 2.3077 data_cost: 0.0014 ips: 24.2668 images/s [10/22 15:37:41] ppdet.engine INFO: Epoch: [179] [100/261] learning_rate: 0.104570 loss_vfl: 0.712933 loss_bbox: 0.268447 loss_dfl: 0.187537 loss: 1.159472 eta: 20:32:10 batch_cost: 2.2269 data_cost: 0.0014 ips: 25.1468 images/s [10/22 15:38:30] ppdet.engine INFO: Epoch: [179] [120/261] learning_rate: 0.104455 loss_vfl: 0.700371 loss_bbox: 0.276481 loss_dfl: 0.179175 loss: 1.153363 eta: 20:31:23 batch_cost: 2.3327 data_cost: 0.0014 ips: 24.0061 images/s [10/22 15:39:19] ppdet.engine INFO: Epoch: [179] [140/261] learning_rate: 0.104341 loss_vfl: 0.701513 loss_bbox: 0.257313 loss_dfl: 0.186325 loss: 1.158968 eta: 20:30:36 batch_cost: 2.3549 data_cost: 0.0013 ips: 23.7804 images/s [10/22 15:40:06] ppdet.engine INFO: Epoch: [179] [160/261] learning_rate: 0.104226 loss_vfl: 0.708122 loss_bbox: 0.259114 loss_dfl: 0.178807 loss: 1.136723 eta: 20:29:47 batch_cost: 2.1960 data_cost: 0.0014 ips: 25.5007 images/s [10/22 15:40:58] ppdet.engine INFO: Epoch: [179] [180/261] learning_rate: 0.104111 loss_vfl: 0.721925 loss_bbox: 0.269409 loss_dfl: 0.178438 loss: 1.175460 eta: 20:29:01 batch_cost: 2.3917 data_cost: 0.0013 ips: 23.4143 images/s [10/22 15:41:47] ppdet.engine INFO: Epoch: [179] [200/261] learning_rate: 0.103997 loss_vfl: 0.715115 loss_bbox: 0.259719 loss_dfl: 0.177845 loss: 1.166085 eta: 20:28:13 batch_cost: 2.3120 data_cost: 0.0014 ips: 24.2212 images/s [10/22 15:42:36] ppdet.engine INFO: Epoch: [179] [220/261] learning_rate: 0.103882 loss_vfl: 0.687748 loss_bbox: 0.262643 loss_dfl: 0.181766 loss: 1.151767 eta: 20:27:26 batch_cost: 2.3464 data_cost: 0.0083 ips: 23.8663 images/s [10/22 15:43:26] ppdet.engine INFO: Epoch: [179] [240/261] learning_rate: 0.103768 loss_vfl: 0.706788 loss_bbox: 0.263492 loss_dfl: 0.183485 loss: 1.159339 eta: 20:26:40 batch_cost: 2.3820 data_cost: 0.0014 ips: 23.5100 images/s [10/22 15:44:09] ppdet.engine INFO: Epoch: [179] [260/261] learning_rate: 0.103653 loss_vfl: 0.706097 loss_bbox: 0.249743 loss_dfl: 0.175794 loss: 1.133815 eta: 20:25:48 batch_cost: 2.0120 data_cost: 0.0012 ips: 27.8335 images/s [10/22 15:44:15] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_mobilenetv3_large_1x_416_coco [10/22 15:44:15] ppdet.engine INFO: Eval iter: 0 [10/22 15:44:44] ppdet.engine INFO: Eval iter: 100 [10/22 15:45:00] ppdet.engine INFO: Eval iter: 200 [10/22 15:45:16] ppdet.engine INFO: Eval iter: 300 [10/22 15:45:31] ppdet.engine INFO: Eval iter: 400 [10/22 15:45:46] ppdet.engine INFO: Eval iter: 500 [10/22 15:46:02] ppdet.engine INFO: Eval iter: 600 [10/22 15:46:16] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.57s) creating index... index created! [10/22 15:46:17] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.56s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=69.72s). Accumulating evaluation results... DONE (t=12.08s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.351 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.514 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.369 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.147 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.381 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.550 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.299 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.472 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.237 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.567 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.727 [10/22 15:47:45] ppdet.engine INFO: Total sample number: 4952, averge FPS: 44.24105578735175 [10/22 15:47:45] ppdet.engine INFO: Best test bbox ap is 0.356.